(* Content-type: application/mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 7.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 145, 7] NotebookDataLength[ 6408252, 109447] NotebookOptionsPosition[ 6402885, 109279] NotebookOutlinePosition[ 6404542, 109334] CellTagsIndexPosition[ 6404370, 109326] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[BoxData[Cell[GraphicsData["CompressedBitmap", "\<\ eJzsvXd8VFXXNjyk0sV+q7eKFHsBFSuiqNgABWygiF1QsIsFuxQBCyKiICgo TUFReu+QhF6TAOm9TGYyM5kkk8ycc31rrX3aDOF5n/f3fX9+88vMnJw5ZZ99 9l7Xterp++w7w1589dl3Xn7+2fb3vvXsG8Nefv7t9ve8/hatim/mciVmu1yu Ue1dvAxaND5O+irgj/9hg///9//vft/HH3HQdd0VLytoSf47Q5aiXw2OHVP4 I5k3SoCmaS0RiUTiEA6HW/CSS1aaB2viUHWOQ23ij0TrUIl8gCQ+VCIaGxvj 0dDQEIdQKNSCl6iZtJJ/lfPE8R5xTZygxnGCtdYJjHbRnuZbTpTAx0zmw8fz iegc9fX1qKurQ21trauVfDaX/3k9bcGbOttxslb4Ha1YwR8JvJE0Ol7aHy9H 4CPxtcXxZ0t1rXQmai2dGcFgEIFAAH6/Pw4+ny8Z1dXVrta8yOvkt5qaGtnW 2cb/RfuqVfuaWz8t5I/4JrqKDhTHR4wzbgKfwOgkajadOoHbKUttZWWi1W5u p9frhcfjoR2rqqoS4Ha7XafwIq+UH+mSoi6Gd+YLOsnFxI5u40JcCbEXyVcN V7Is8y8RTX3zyxiiauTHTgI+nvzzgywm8vbWwY0v2pzWuc7hn+hodHQ9bPYW tVgNk7pQvVxFTX0IwVpargnCX+NDIOiXK672BeD1eaSbPNV2T1T7gggGalBT G0BdbY3qZTqjDMu6EGrrued5mHRAAx27viFIPdUoy7xNQ21QHafaD7enElWV HlRWVqG8vBLllWWoqKigt/qurCxHBf1G90XuCt8Rv89L7eK21MAXoDvjr5b2 BIN1CNbVoiFUJ9cXboj8T0PMre5MAvdUIjRdOk1Tfcw3Mt7od74ZRt/TxuYo lFVT5BDJxv8abRqGTm8t0kg9Lv+7ZHC6zpOrr6Verg1Szwf85sSBv5rGVbUP 1X51VdUeL3xVHrnaCncl9VCV9AL3FG9X46ft/UEZi9ybNdSb/E13AqE6GZPc +w0hEg/cCw0NYYQaG2Ss1tI2fF6+mxXS46X0LkdpaSntU15a5joLleVulFWU 051Qve+uKoOnyo9Kr4fmhBvV3kraX90Jd7VMHhkhAV+NtC1YV0Nnr7MEkXEH 4pu4A+XmHaCxT7NOM2YBf8sbuupF6I7xHTXOrQlhiy/7Vn9ti4w+ZjMssaFH 6ARhutNhINwI1U00SENBlmsB6Sa5HTToPW66XLp0vuwqT7XcGneVl769qKxy q4FaXmEMXBqolbSu3IuCwlIcPZaLfQeysSP1CFav24N5f27FN9//iw9Gz8cr H8zGoBE/4P6Xv8cdL32Dm4ZOxg1v/Yhun/2C/7zyMxK6jYGrzYtI7vQG2j4w Dte+/Qse+345hsxcgednLMcj4xag65Cf0On2r3HVfUsw9KP92Lg9W26vp6oS Xh5GnnKZPG63R9rFt5SHmJcmX8Dnp2Hkt8SZAzvi/ldgWWwIt3jnfWPo08H3 AjKHrBtpCCXnjFI3zgQfe8kUe7LZaKcUNO8htdGYWn2tdvMQ56He0BihdfUs iGhaNMJX61fTy1sl947vmbuChI2njP6vlGHtofvK97iS+inreB627TiI6b+s xJff/Y1PvpiH4e/+iCGv/oB+dK96DfsOtw6fjJ7vzcAdH/6C7h//glu/mou7 fl2C3n+vxcAdezB0cxpG0vfYfUcwKy8PsysKceXBMrRfdwy3vPArbrv7Q5xz 4Uic2fVDXPHQV3j2y0V4ZsIKXPTEArS+8x+0uHEj2ty0DacNXIuzHl6Mvs8t w9LVR6WdLCzdFVVKSNIUrqyslLHH1+Zz23DFUHUSbuCSGyzdeQIy0SvXuLFJ 1qQ03/y/bqJXSyi5p0fNVf6W9bqap3THZBy44p3TWI0NG+A/l1M2N8WvA60a FVqpCxGwiRMgv88gFkFjwvosQOebW0ay00PfeTn52LKNJsbGNKxcvgmjPp2K B4Z8ipsHj8J1w77E1a9/g+7vTMctE+fgtmmLcP+fa9B70Ro8tmwrhqbswbvH MjD68BFMy8zG/Kw8rCsqwQE6R0lt0CJBdfUNhHw0kQhB/y6sRPuNWbg8uxxr 92ahrKwCa9btwtkd3kH8qe+gWft/kHB5OlyX7MGFPVPw9sQM/LEqH1/TwLh8 8Q60G7Ucpz/yB+56aj1m/3kEO/fniTwuKytDWXkVLZfK9bHwYVkssrdpomUw VJ4kCRZHMd62rIw3CINjFMSSmHQ1HIjhCmVhuk1LINEpb2NMiBiPs2e6uV6J B5EKxFbMEWNKFLUT/SYwmmg2xj65asy7tjBvbY0PHhvm+HAQY+kPEW6ER/5q XxxqAj4iI/wvEwbusmKCuV0HcjF3wUp8Pm4mRn00FR9+PgMjR32Hga9/i86v /4grfl+Nuw9l49FSN+6l4XRF1X58mZGFpUX5WFtahlR3GTJInha6lazloWee moeFTaaqZXgG/HV87jhuEzXntX3FuGj9Udy8OQdH80rwyx/b0fWWsWh99c9I uvYYkroDZ94PJN3uw5l3H8fWfaXwVdNpqqpxhODmwfU7cc68pTj9899x3sAl 6P/iRrz32Q4sWnEAZSWE7GUlwqmYXzn5WwyTFeImioXBng0x4YodOdzrJ0Hy TENeJMi4kPGh3nH8T5KMm3gnwPM4YbEQPSZMRI9osMBC8SjNEhm6Mbh4ax5c ccYQc65LssbPa47BbbRfiT7XJZZ0EdgwtAYePTU1tYrzGhqAwGcVQ2YNjmfl Y/O2Q9iyeR8Nmd9xzUPzcfptc9D8kjFofv4oJJ/7Pi664i1cfu8E/HfiOtx8 1ItHvHX4u6oWv9aH8Tpdfi+tACNqjyFA5+H7wszOS2yLmRazPVaiaIzUBFxn y30KBGukPfzme+j1+gTeBaqIL/fekY2O+4vQ+8/dePvTJTil4xdIvPJvJNzg RvxtwG3P1mLzLi8mzQ/i1Hu8aH5jDj6eVMLn8Fe72tJxA/jhSA6u+HcVzpo5 C1d/uAz93k5Fr4Gb8PRbW/DHkkMoLXMrGuRTY4ja1crSq+IMveqkONMUxBy2 hgyLkAYaCPI2Rks8r6XfeB0PKeMdZwwNB9S44gzqB11kj7GkbrsICl3e1D76 obk1Ml6NwZumMIcuRikyfUS0mHojDwrG2uMEB1u3H8DCvzfj+x+XYOzEhZg9 bx1Gj5uH5ld+jRa37UCbe1LR54MjaPvCbpz+7kGc+fZenDpwK9o+ugGnPbsR Fw7+B10eWYhbX1+NG2fsR6c/96DjsnX48tdUpOxIx979uULRy0m+eNxeGTC2 yGdRFxRFSHiqxyM3iTke89G92UXollGOC//dj7MGTEaLs79A3OWpiO8WIn5B XTC2BnkFHtmXB+PGlCA69/GjRdd8PDWyiI5XKxOC1YY/jxTjknnrcfZvc9Bj 3kJ8MusQXnz3EB56five/Ggjlq1Ol3YYMJQgQyLaTEBvHnJ+Wm1aCIx3HO9G wBKrWzt0iJMbVA45wClOhk28kkJqSBmoJQPKHEZK+sTZe8iYi+U4PF5kqCVZ g0vGEHNWB+0RNqRklYVtSiORpsDe1JJVppyz0O0JWXxfbaopAwC3IhzREdZ4 Jmmitgu7JfW2njSVuhCDvVKp64kE+QN1MgLWbtiDqdNXYuz4BfhozB+Y8O0i /PLbWqxcnYrU1IO45LbvEHdzKtrcvhXPTjuKh1YWofvxGgwM6JhQp2H6Tg++ mpePV3/Iwz3vHMLlz+zBmX034oz7N+CMxzehdf/VaHnTH2h3+Ryc0206Otwx DTc88Bseemou3vjgX3w3cztWbUhH5jGCoArSOryG9kEitJy0I1IzUVxagnV7 snHRL9vQpsdExF8wBa4rc5DYJYyuj9Zg7bZKQWje/iix3Y1Fbqw54sfof7w4 5fkyuK4tQIdBxzFgZw61vQhXp+Wjc0ohLqFR2vFwCq5augqP/74H931xBF1f 3YGLH1qDOwetwdxF6TT2vKTxUV82UJ+GqD/rVV/W19YpBdnHSnlQtAXuT9YQ xEwhRiHSCL0iouGT0e4nDcNv3IegMjvQvQqHGwwtkw0KEWOkajEjd78auc2V wOOxmugcpeaYdLVwjGADQ2nE0meS4k08tJKix6QxS2Tc6rDsTNHD1tzUOQY/ sAk4DUQZfwz/YTanNEp/8cQMhurVOKQ+C7OJhwhwdl4xfp23BY89MwWPP/cd 5v21icbiAazfuBc7dx7EkfTjKCTyfPRYDq7qNQmuGzYgvu8utP8lB3cV19H5 G/B9YxgHSAiwGYePGSKtnM8f1iKo9Dcgt0LDxoPVeCG9Fndm+NBhSwaunHQY Nw87hHMGpeKM/utpnK5Bq55/o033P9Dyhlk4/foZ6NhjOq5/aDZJqz/wyjtL 8PWUDTRG92L9hoO4td8UJHcZj4QLlpF0dKPZjRGc+WoFBv+ej8eX5uKWrUfR be9xXJGSjUv25OGq47m4KrcU1xS40XFpEEkEqUnPluKqI0EMjgQxgvrqvkgD uhLbvOzoYTxwKAX37k3BbdtIsv+9E2dP2o7TXliN9ncvxRsfbcf6o0Uo5DHH BDakBJ8pMqur1fhjqGcq5yEYFkWAFAKW8owIYhazYdkyCNXX1yqC3EA4GTHU M1HHNNcffK8TEStKgQ5qSAptYzqoCyTLf2pdomJ2BsszmB6vlRHqgGvFBR3r wjIMaSnRAHEeXMYoVPxN0bvmUeqBjEZbl2CdUbHGJCfjc0peeT3CH+p4F8lo 5hEkI7lRU9ASblRStE6NXun5unpZTtt9HGMm/Y1uvd5HcoehaHbhi4g750V0 vultvPvJ71hHIzonJw+FhYXIysrBzb0nENlagxYP70O3zRUYTnd/Gt2BQ4xy 1UK2qffovrgeVHYWmjFio2iMyITmO7OZuuctet+hZaK/Jx3uah8yjlVhw75y /Lq+EB/NzcOQb3Jw5weHcdWwPbjgsR04o+dmNL9pJVreuBitbv0TZ906H2d2 /wmJl/6KZh33wnVdA059SUOHNV5cUVCMq90luCZQiW4BL24qr0dPbxAP+YMY UtOAt2l2f6eFsJTuzfjNGtrcUI6Ee4owKa1WrKKfRkLoSlLvtuMF2E7SO628 CEsKCjCzKAcjczPx0OFMXP/PAXT8YCvaj1iNK79fjfu2bcHIYwcx+3gWNpQU I7WkDJkl5WLWrCirJFJZiOIShQZlpcWGwlIuSCEmxmqlO5HeFsfWXYMhhGhg CzOIhJXWQAKWb/QCvufNLTwWOLaUW3uIi8UczZsY/MkmkwixItrAe4dE3+Bh bkwFk2fQqI43hrlTZId5Wp3INxKc5MRhUlGab3wUh9BtS5oa6QmWNcXYM16Z rGUnOC1lva1/CTNinCQkCyIkT9kUXyeWTiZoSu17Q2TFuo37MeKdGbj0xjdw ebfheO292bjxtflo+cQsJN08CnGXjYDrP0OQfM7zuPmO9/DVT//grsE/IO66 v5B4WwoGbCjDMpJjhcRUWY0hJddQW7wGW/WLy4Ble6iObl8oLHjCWFlHbfyK rm6AVouukb34+lgBfF5laTXZLBs9FB4r62tmYTkW7izB0K05+O/0LCQNzEDS g7lo1ktHs2t0tHtcwz3HQ/iqrgoTglX43uPDn9Sude5q7KX9c/w+VrIEw3g4 sWRgNwlJK2zZ04D2fSoIDzIx8q8qjPVruE5344bj2dhDfKTK6xELnFgNfW65 tnIamjtKqzH13xLc+Oh+tBu4EeeMWY1OC1fi5u0bcPfu7XggdQuGbN2O0fv3 Y+HBo9ix5wiys3NlBrDBXY7pNviFLyCjX1wlfq+0lVVBNjLVBesNJSXMHENu +XxzqJsSE4YslaGeqAY4LT3bxJSwF+c45kCcNQdi8YCnRRx/Nnf8YJPrJiaH YSuKBQW1fSMbfjVj1ugOQ7IBFPbwdyUo47Kt8xuqoCvOIjvy6ivXcelJzYmm ws8jX9wnzN7q1ToeoX8u2o7Hnv0Wl9z4Fq7s/gbNhl+RfjQPdcTAswt96LSg GmeP34fkV+Yg8dYP4br8HSRdORzJ17yHuLs3IuG+Yzj70QNIyy5DRWUJqtw+ YZR+X5XoSewuCfrYbxrwuwaJ/0psDzRBBJ7qlfazuzGIV+gSbq3Nx231+3DU 7xZzL08ItgSyv0zINQ3IpbkV+DiYj2dCRegb9ODML/MQ/2CWTIiW/YBT+pPo 6BHBVSOJehb6aRL5lH+tokxELx9X7A/eShlk3DXcFq1BeXG45/PLw7jpxSBN jONoN7Qc15R60c2bi/WeSpkMbncFvJVueLw+8R+yZbYuWCsCp5Hgdc0ONx5/ 4wiuGpyCLh9sxIA5W/Dcgb0YkHsQPdJTcPmmNej6zVz0+/AXTJ6/BluJOLL9 hVVuX7WbDXlKkJC6WuOvMyaH6lLuQ1aEGkKa3GrTdyHMlwbsX0ru08okp+wE XjLIghML5pycCCU1gQpNbScQ0twY8M4J0lI+ba7vZEhOzdS0kMnQlrmbcLK5 e48snn7CcDcto049XC3XybCvqPRiyrQVuOOBD9Gp26vofu+n+OKbRSgsqeR5 GWpwnSkevVq6j9P2+dB2eiVa/l6EK9YSIV6UhjaDvkLS/euR/Egj4h93I/6R IrR9LB9PfpiL1L1l4uOt9vuUUhUIKotsTYCOTWtcj8HLnlA2YwSVPZK/q0m4 TQlHMFBrwFXV6RhZeVRsmKwMsnttp7cMY+ry8Fg4B/fVl+NlArQvPMANX1fT WD8C131+xN8OXDE0jM+26rjtQ+qaazScTmN/xtoamS8V7nKhHCVCpKvEk8lk W8wX9UGhgwyYzFHFKayF8fK3dUi6uhQtBlfi0nXZRIOUt5ZdgjL22Y7H/vKA 37Z5GCaaGjr++h2lGDM5HQOH78LDn6Zg5qbDeH3VDnT842/8d94qXPrdMpw/ fDrOvWc0brpvDD4eu4wAohQ1wQblOa4jRZP97kTZfOIDdytQoPOIX72h3hz3 Agj/WAO8hUUYbO4zkJeSogf9bOegT3QOZmugJ8QMfv5Ptkyw2ZEp7NVmcQ6R 32D80NbiQ6bctxyIpn0lJuwnIZru2FPgbpvzNFdM32HWVebcGhETyvLu97ve Ry6pb5+NW4hreoxEh2tfRe/Hv8TMORtEIjKrZFMLKwLsq2ejPY/g3eU+XLuk Dh8eC2MWnabbqr1o1nce4u4tROKDtXhkXBmuGVmMuP4FSO6bj9MeLcTjYwqQ kl4poz9Q47XUM54Fss5vmxOELtEIZIXhIMH9G9QjPSNluK5qF/6tysd8TwkG Vmfj3upCPFriw/DsCCYWaPitPIJ+v/rh6rsfrl5FaN6bpP29QNqBIHZXh/GX W8NdE3WxBDe/TseLo2uV87NcoYinXEVX8LmZrkkkBVM0lv6NDdKdbMbgG/HW 7BDavuhD/N2VeH4MgZrPpGiKmrHUZ9rGM4mvSWY/oYn4qwgV8gmhrn00E3Ed diP+4q1I7roFiTetQoub1yCp+1a06JGG5FtSkXjNFsR32YCWN+/F7c/uwC8L jqLSUwdfnYp74D4SS7gRBcIoIxEmDQ2WbyvGo7WkCXaUaE2L+OhpIcyiTfTc +NEkRvU8vUI8BOvZGdKUhqAmhWOKqN80XXEdY1o4eBVPGgMhmtSlY3UKhRQx TIhfTiujwxDkssEuKRrsZPq4ukQBh3P2mHFSyvHgReruDLz27gxcefMbuLjb a3jqpclYtnoP3fqAFVgksRR1ikcpARXEkpIAHj2i4dtiDUfolLP25aPlwz+h 2V3Elfo0oM8o5cM+ll+Kb/8qx+VvFiFxYCGaDShAm0cKMeCLUuxMV4E+AhYB NauFaHh8CTwOXQ+LsfFXUiqGoB5XB4/hBvdRPFTuxbD8EEblaPg6E5hLTdhV XYtp2zxo/uAhuPrkouV9dP/v1/DWpHrhFmW1IWwlyjPHr6MHMesk4pPNbiX1 /JUIMrK8cJeVy6gXoyA3wVBV+XJra5RBVpQb6hLu0jV1xJt8jTj1gwASrsjH A0NzUFBYJrNC1F23Ck3gZZ6N3BWlZRXILyjFW1/no93t6XB1OwbXzYSxN9EN 7EHD6AbgrDsrcNXALFz1WDG6v1CGO1/x4P633eg+tBJJ12Xi9HvWoOfwTVi6 rhB+9liT5Kn2BES95jabXmPmCLGRbCJUl1rDJUERbJIGbXlJJooxeaIcK87Z Qmp7hCZKLROZ+ggNwLowHYKW2LVjjPkQbVmrqzkVAyxqXULsTIo3Zk09OF7T 3FR0FcNBTTODkbuRdING5f6x7PLxxtSPdSTochBbSJi+xHjrEmWzno5NTNki U8o1CbYT02FqZVyLKDe16BZB5XytJoLNVrx/lyk949JrX8eVt76F1z+YiV27 MsTPowL0ai0LNduqao3YJIakb3JCGJyhYUYJsK1Wx6oCP64buQCuO+bCdXcJ znq1EZ/sbySN3KviHGmg5hVVYdKyElz2RiFpzHlI6J+H1g/n4ZHPS7FpX7UK ovP5RYQzKeIJJYPUXSED/ojHj7nBML6tAV4ra8Sb2Tq+ygKmZQOL8+txsNIv vqqd2R6cNjgdcQ/QBLtfR6t7NfR+vwFV1UEJD+P+SPE3Ypkf+JyGQNdFQCtS VBJuBzo93IDVm1VslYSceQzndbWSJb6AaqeQovo66Z8NjbXoqVfiak8u2n9S jaRuZej8YDbW7igR+BHlhrRrJpFsQS0l8jftzwJcTAIgsQtNrusL4bothJZ0 /haDgdMmeNCGvi99RMPxLA8Kij20jxcVRAM83hqhCp9PrULLB/Jw1ncr0PHD Rfj29xwjbswjsO6nbaoY5klp4UmmwkVJvkYaDIUKEjLIA3K1hTuGhcjkUMKS 4gy9wdKEow34iMDcQXeYvmxNx/IDJERZTWn5PoV85gxubg5vWCdR9rIES/2I i1JEmgwaUb5VOlmN+N+CtA2JAH67RBiIWGAqSStJGJjfCQZwEq5aDmEDGdX8 jsJMk50qR7F0ktjSzGt1OuXMJjYV62JLrvvl/2EWlFpvFidsF2o0PCCEbWyB YSrHFvg//9qE3oPGoVOXEehKlHLU2Dk4dqzACI0MCM3jWBAzaFYprwFRkEu9 frye0YBh6Trm0DxOqQWKaJ6O/zsVrjsnwHUPgVM/DZ9sBxZSq6dSX2XXBlTw q4HLhSVefPevG5e8UYTkJ4iCDshB2wFF6D+6GOv2KMWc41M4NowBJpdkwVqP jvleDTNL1dydlg78cDyCTYTTxTRP2BDAnoeDGRU4/xGaI/2PIr53vVDLy54G 0vPrRKFngOP4STe9VxQTrtN8HlStY/SKRpx7fxitaYCd1gv4bl6dCqLwqthD UZSYcjJd9CsroVgHSXHaRArYrdS/XQM5mHCkAm9+WYWEm6rQ6pZcfDc7K44t H65LxIS8dlsh7nslg5htJppdn4Nm3QNodSfQhu5l2/c8uGjNPtyZshtvzA6i 7R3AbcMjFktlEcuxFBxP7KEmDPvMi1ZPH8R/Fs3ANRMWY84/RThyzMTlSsv1 7guSSA6yPcNwsIQNe4Nue9RWWzPFEQtl2bSSHcaxaLtuFMuzTMD2eDaUONsL bcGXscFdMRPYMo0lOmaHpqv53EI2TnTincN//X811+koNNkRoMvwk+7Ob1pm t4fGTWURwL8b34kiAOIZ9xHUIvzNYeT0mSyz3wR7c1m0UJM+OyyCloB0Jdoe IsdFxFjKYy6ilZJ95grVdWewsq/Cg5kON4bFCanMhEHR9Wf/vgr3PPgxrr7p VfTt9wEmT14kvI81OB7abIsTyPKwRueOY6LlelZGO6/aVerHExkRfHAM+IeR u0YTRSblCKHx/Z8huc8OuO6qwq1j6rGXpMF+ojnTaUaNq41gb7hBhQT5aqxo Vp7Z3/xbjqtG0uwfVIDmDxej1SN56PNRITbuKUMRNSWzrgF/EUP4pTKCnwp0 rCwKYXVRHcZn6vgtp0FMIKwMsvclt6gUPV47hFaPpSO+rxeJ9xDNfEjH31uC 4h9ndi/xCYiIs2K7V8eicg0jiRG8f1zD0YIAuj6toR3N/OS7NIwYT3S63GMp hRJS5TF86R6vJcV2Uxfe1liHa3KKMbI4V8yb38ypQuu7axDXLRfDxx7H3kMl +Oj7XJzeMx3Nuio6HHeXmu6XE2t4eFopOu5ej4t3b8Afx3JQUlqJniPqhd4T taexQmeMk4SPM2TuV7p96P1SBdq+tAlXzJ+DmSsz8c3Pufh3Qw7JlyqhPkJB SD6waJIoQ6Ji7LRoCIfErahrDZbNZYMxzMwprwaoodBBIR29lUJnhkSy7SPW 5x8faxfRLWeRI9ZEd3hPYyZ9DPJ3t6ZzkpIodODmhvPJTi9Rb8MAY3MF+U23 o6rs1Q5B8LYJ+sEIHbRGLjJAJJyWrHdQxB4JhngWADLjTQ3aaTcyPWUOv5cy /LuSo6hPTPusfJn/1XS/U1ZOksOovI8IImGVCSCpKiTmj2Rm45Y73kLbLm/g vGkrcdOsxdiyL1NYuDCAgE/UPkYvCRdk35dbRdmzl5ODkP+l+dD/oI5JRcAS QsjdNWGCH7+Ikksf/wbNByxAfB8fku5y458dQeQSy8+keZ/qJlXVp2NMAMRu IQySY07YoGJGsXNw8VeLS3HFUJIdfTOR0Csdpz6QjkG/ECNw6/id0HiVX0Nu TUgYx/bKenyVoWN2VoNK9CgrQWlxGV79qQAtBmUgrl8pEmiutHlAw+ez6kXO 1DeExLQoyS1GoktxHaF9BTClDHiCpsDuslrkF9NUGqmhBc1FZvF3vdaAjByl Gnu8FSIWmS2pcEoVXplBamiPcBBX5hXjhfxcFJQVoaS4EKu3lqDzQGLxt5Tj v3ceRvw1+2i+ZyHxZh0tSPVtd3cEj71Vj10HKtFr+y503rUeA7ceQHFJhQR9 Hz7mR/vBjSIXFq6rUW1gj3JVtZFG5EPK/iqcNfIg2r6wDou3ZyN1bxFGfZuO 6QszkJ1XKtswS2EDYK0k1zRYDF7gPuwMStvEo8kAa4lxcMS9Rs9hMxY6zgn5 3K12aKxp85d5mGwx+u7qHHoTVlPLWdw8SppYkWy2zmCLBHsp3rEEw01ov15R EzueZ3M8IbumFmVC0zfb8iOaQfMZ/2sEqOlT1H2XaP5WNJ44AJs7g39PmNDm RI7JmTOXBslv34lRMmzsx/eDWTlrg8zK96VnocPFD6NNhxfx8MrDIpse1Opw fX0FntNqsZRwprimTiVhEWxX8nysVFkhrB2W0ziccCyIwYc1zC7SsIbG+kEv wT+NY8axt79biuQBU2juZpKGW49736yQkFw+VjHN332E1/s8pBFXA2NqdMyt bYCbtFWfvwoVhH1sPmL6Wl5aIUlYk1eV457fq3H6sAq4eh/DuSMq0e9n0qT9 IUU9CHJ2E+X8mvE6OyKypaSsFL+vzcepg4+JFh9PY73FvRH0+6heaAjzBB6v emPYsKKrODTG7Y3UtoXE/F+t0vBRICIYzNf2+pQgTulH46tnBJcOiGBtqqIz EnLsrhLNXsxe7gqU0DzuHQqgS1EZnsnMQ0lRMQqLC1BYWIzxs6oRT9jvutNH sqAGCT2AlqQF3P1qA9ameejayzF87TG0P7gC163bjdzCIul3ds0wJ1i+OYC2 JIfOHUDad7bf4AgexXm8bkmEuHfzTrR4eh+6D0+X+7Ztdy7en3QY42ZmYH96 kcx1ll9sMeD5awaVGkbtOCPN1ZHh5Nqm8EOL8lwbHpA4NjU5nCKOiA8jxPTE 4D0n+mv2lFRpNYnWvHZAqiL2Jyqut1pTP86i8DGhJ/ROckSYxB7NtIEpbmDT YtO1aL+eU/Od9qkmUecj7cYvZN3PiB2QRWOaG1NdNHo26iUJv7FiuQ31vYEl gbj4TdEXr+JkTDHnzBnRYZriVErYCWIAhrcnzugR46e+1g+uKSyaJVwxXKcM Z8EaP1KP5uOCW15BXPPu+GzacuwK1mA+teMTotcvceBVTTWuLivAfRVF+NFT hrxqFWzNEF5aXoLjReUYergBQzM1mjo61laEkVFRbYS2VmFHWiZOeWIyWj68 BvEP1uO0QX5s3au84T7Ds1hAU5hFw0GizKvoe6IPmEq0OccfkCnG04qnQRFN 7dk7qjGPFPT5JFY/OEia6xcVBK0H0ez+LLR7JAcPvn6cIMyHZccbMLNSxyai XZxBsOdwKc57isTSwxkkEuqE+l72TBhHs7yS4CaJYQ1Kc2UbKYcGqgiqCLLq NKwo0zGZ1JJBJN4P0NRR1ugyTCdZduajBO/36jjlAeCnP+qE7oj1m0Nl2Vgo CYZV6N9Yg0vKi3BfVjpWFedhcUke3vvTizY9NLQeAHQdDdz8mY7znweu/d2L d3eV4s2DeXi06DAuy92E81dtwsNb9mFeZgY25+Yjq6pU5ZfW1GLKH2GiBUDP lxUlUhRMeZm5D788lIn//LqOKNV+vPBhkdCc/ekF+GpGBj6ZQsfbXSBiRHxw HE5Tq4L+VLz5SazgBrrTjFLIlOikpuYsVDaqBGWjqoNuR6QnxqitBpM1poTQ 8BaWNLjREEInWAKT1CSyI9xtN6sZLpBkWQsSbJtfbL5MzA+miLHn12BLAHgj MvlZCNCO/JnABEDmP78Vidf4amTmQ83+UEQZ8OzoCGm5FY3flHFTObyiVB1D NbLygXUz9Nn+LSY31WXHwvWX/6dbji22UvH9NfOgWWPfcrgA/+09GnGtHsTH n88Uo3I9ra8O1WOPvx6/BjR8GtTwfE0E9xBFuNZdilsr8jCmkuCushR7iG4+ uS+M97NJPSYqvLasEfk03ipJ3XVXqhDdXp8sQpuHZ5AqnY9mfRvw2hRlhOZ5 IgFBNHY5+74iGMJ+our7SS5sJtowjag7q/x7CMoZcjOJiq4grXMNXfxsUg3+ LW/AcU+NmA5+XVuJa98uQ3y/44jvnYM296Sj69vFGHtMx8aKBoHtGwgmkx47 jOZ9A0i+L4KzBuhYv6NKoFgsYhK1EBB5yRYPngei5ofpHtINWu/WhDI8X6Jh dCAsFjFlSC/HGpJVlz0ZQbMbdLS8ScM7Xym3exXNzfUkQ371N2AMDZNBpDZc WxpE17x03BHYhyup3UlEN1reo+OWcToGzAd6/aDh6veAqxYE0cdbhH61Zeif 70f/w/W4bqcXF6UUovO2XFyx+Shu3HwA/Y6k4pWDRzF7kxdd3q5D/I0aRv0a kYiIQEj52tkIu7+4Al3WLcepk+YjuVcG3vumUO5RQX4pfvsnW6jD8o2FStNn 52KNj1Q8w9gbqj1ZcQ1BnI0y1mLNyoCZiRaBHehj+LLi2LYVYwIP8QSm31s5 U51ERluagSOM1Mn9RZjYqH6txRaMaGoz5DQ24oi+Wzh9ZrATYBzfLpFQtpPA fj2mJEW8iAZbKwhGDFrgkuuJMukZ8iHeogUnTc05MbQ2ztKvEmwjiSmKDQuB HS1ryIemogHks58szojKAOORzneb49/YxL4moxjn9RuHhDYP4oOPZxvBrEGJ QZNvdpfR8iFfCPOISI8msj+clPcBvgZcTaP3+tJS9MkEJpCEWEWzlv3OxVwq oLzUqnUxc9UetBs4BYkDUuDqU4+Oz7uRlauC/HnmcjUInuUKAWuk/sbhakLn KmAHEfhfDSVjUXVETPrTCL2n5gIbC2pR4a00wqhVfQyPP4hfNtbg+o8qkfBY LuLvO4Kzn69Eny/deHhcHrUhA0l9i8To1/o+HRPm1qC0pFJmiqk4ByQkOyg+ 7lBjvYWc/H3EF8EyYiPjy2lwkLRI57it8nIi7JXW9/1jGpHUm1hgV7oHUyP4 ghjYO3QrhhcCI47T+6CGoYd0PE2Kzs1/UjsegkS13DqWjvk78OhiHQ//qeNG +r8r7XjPTGDUYWAs7fttNvAwKUkPH4ngAVLeutJxLqfjXbKrBpfvd+PyA7m4 dFsBmg+PoEUvDY+uK8Bn2VmYcbwAKSVlomg8vGE3/rPwJ7T/aB3Ov68QX/5a IAkYLPHWbCnBhz9k4ue/ciWkU6J4gjXi4qsJhk4odRNTBUP5BVi9taeRq40C fOiG1comF+bQZ4thgjDseOdcUk4wCcFNNDQQc9aeTAMx486TlBviRLOhSQ90 vZs0xs51Mw6XYHng4x24HTV7HedS2o69zjyNHUzQzklCSEs3uEcbNiOaXkN5 k1Bhe0Ks01BJTl2EimpMsuEsNQWew52iZIJDyintw7bDyHrLCKGbNtro+DTb NhNDoa6WT1Od0ozsBEe1Emhi2tC42onTdml9OPtCs35kbm6t182c507ym4YI ELOPaaYTld/o9eiTafY5jW3M/6O+4Yigde5unscRdwTT33XWiZsZ7iXpQEcT oi5TMz7kt7D9m71tnNFzTfykdjGbaJwm4my2aqkV4WHuS71nrGvpuAuIWnb2 Bp1HZio7xTXdbkZE3Vx1qAuMK7Y7WW/q5ho3TzrYcSlKA444/g9HN8vsHV35 +9WxIrb8aIqHNGEJj1nXlGu8qXVJTazrZa4z1+hmT89UATBaWLwlzKUCRnb9 kmMl+O+gSUhocT8h6+/KHcQuIp+qi8R8VBzD/irDfOvFIeLg/xAnG08ceSTx 8lfKwphSyMEvwDFCbAn0KK9Q7qyqCqTtO47LX56K5P7ziX9XEg+vIbQtVekk HNBieIE5slxiFY20iypC2gxvCHu9wG6/jn8DwI+E3lPzgSV5dcgrV7GNXiN2 k9tsFn1gVKwidJy9MYjrxrBJrwzN+uQQsqfT+zhcd5GyR+j69PigRDNLNL+B rqbnUAJdOEiAmAVX5RLHeKBe2rWyQscfhPBPk74xyR1CHunnG+ncU9z1+DCn Ea+S/t53mYYzHlGm8qtG6Ri2GfgltxGriRGMIX3lvSNA72mErA9oOKUPcNt4 DQN+0zFkbiM2FWg4VtmIF+bquOFT4LK3NMzYFMbq/EZMqwSGpAOri/3IISTf UlqNlaUB/FRYj/dzwhico+EeQv6e+4HTn6XjvxTGFTurcOmeElyyJQs37cgg Dn4I5/+zGDfOn43hE3Nw4d1uzPy3RPqS3SL7M8oxZvpReh9HZlaZqlzB3lS/ 0vOl/lVMHbZGZh8RzTLG7zVGqsPxbtFeCd9katpaIYqu0MVEk1iEadAthIl3 Bp6IncsMzLRrGFhEtdGuYeDAXcvub8KKifQOu7+gkY6oTWROSS7jiZOvjWPy GRdsGCQV+eYrMN/KPGdn4UAV6rBU8fgY+I5ohmedP42cdIfVw4J752XYKQsx cUS2qyHGuGkvqmhUdiKa94XvkYQPhuREDuB3mXl6mp4Qo0dYRpEE4wqs3Feb BrjM/nXoR66motFPivbXyGeyQ7ibIUPGlyUFkw0Q0FVsAcIGdsj/xjZtLXS0 wMD431rvAAgbv3Q7tNdqn2znUkB1SjT6O6+AL9rZZgfaSxUCAy81FQtio7du QHFLA6us1RahMKE3LFQqolqX6GiBZp7EEa1scRyj5bZPWqG0rlDa6uCIfTVa bFexHICWYN0hq1eiehIWZCcjqpNgobrF2eBqZ1+iZl+uPT2dd8gB2XYGkros R86FZlJATU14wKznaDUBZhQqYBY0MW1dTSHxKU2sayp+p6l1ccYvUU433Ygo utzRiWouif8trFkpRmZE9m/ZXpw7bDoSWz6IDz+braqWsN/MY1Qv8apkBykv yWldJPTZMO32lIuxPbWmDttCESzxAX/XAIuPVSIzuxCTZ2/Bc+8uwq1P/IzL H/oRZ/aciJZ9pqHFgBwk9AWufc2H4qKKOD6o63wrQI6ju8xcBC6GJ+mjhJnH q0KkjQOzjkfwyU7ge9IaMyp8yhZmpK2y1i0RYtU+o7hJrYQF1NUH8G9eAz7N AE4d4UfCoyU47Tkuk3rWIA6mX7xJVQ6S+qFiG68S96AV3e1R9nKzwKC5zX53 HZaX6xhLGvRA4h4jvDpeJd4xohh4PQcYSecbnxPBhysjUhkq4Trgv73DSM0M odgTwNgsHXf/BCTfreP0AYTr3wD95wIvztNwuEjVZWTblZu402M/abhhDHDx y8Cny6kfqoBnMnQsKqyLY1LiugTVlV5lFqwJwV/XAE+oUdxBk7ZF0Po2oMNY Da9XRtCXmnbTEQ1XUxd22FmBC/9dhid+SUXfN/Nwce9CrNxaqSq9UJcWEWX4 fk4WPvouHRtSC60uUUlUHiuQ3ltTbSWEsZHBoUQLEh4wBytsG3zYiBA1tGQO LqsVoa7CTogkOmFFwISjTaGiyK0UDs0IQ1e5Tpa9utGC7nDkRKOVZcdOcNqx HSl8UW7/GKW7SWM9/3AZX2WCIT2der0dFmumo8QxwAtMxkVr6PEOj0FEAuKN /2LBPga8o9POxVlhAqH9UsLBFW/E9prMiXs2TrVFmTkdJk61ukFzJNE7y/bY zhT+bBHLniwoNxvnhHLzN8tLYMdMNondLe3DwMISS9uua/AhvyqFNBevEo1n wiEZo3S0Mt9hIuI7UN/o/z+okWp7b10Bcj0p9H+jK0qtdYBI2NpNg6ki6pp9 DPN4duJCi6jzMUB6a0voEtKQX5mKSl8GbMBr6wAvpUUGG71yuaEGv+UQ1E9Q q8PRKKGZeOgkCrrdCLU62eRDsDiGCcCqgJc0iDvQV1sQxW90owPUQqPdR7CO JadQ+NhcOtVXk3+CicE4jmp8O0t3141+jkT1KaJOY95zvselvkylZxtBKtYt MK0IzeUqqmuKVas159kbVYfobLID4MhBiS6LKVulp6cnmzfVMepoNTIyMk7Y K8E4YnFxMVJTU+U7+rdorFdEe64d+KarAlMsZjnNROzMpHF9n16NM175RbT0 zwnMRUxzaVmfCtu2MxmJABhFaMpKq3DwaD7S9hzF3FXpmJ3hxStzD6HX55tw /durcfp9PyL5klFI6D4FyQ/MQIvH/kCbp5eg1Utr0PLF47QMtBmso90g4Jrh Gj6dE8bBrKBC31ql+SlkVgGwHPBVVF6FXd4Ifs+LYPg64K2twJiDGr4+GkFK WUhgxcdFnRhefHZ+urTdp3J013vCeGldBK2eqUfycw246Wvg+i9JA34TuJJQ 8qO5DSgoqzEK8yi4YouDWBI4eLbCbaSaqKIVXPwqpawOf9CtmHxcw2uHlW37 kz0R/HqkEStz65FZTG2SjMsabDpYL6H1yT01tLw5jAFjNPT8EWjZWxM07/Ut 8BCh+dA/NeSUca67ik0W5qyFkV4C9KXtr/5Yx42fR/DFAR2vFeiYkVOv2lqp ctY4/4u9W1yrW2DVGAPPjAPa3aNj8lZNUlRKgvV4KjuCK2nMd15fhs7rduKS eevQ5sWduPi+HBzNLhdmJMWx3D4sXJqP979Ox4KVBSgqUvUEJKjK7RH7uSqR 6ZP0IvY0OnPODFg/bEwRmNGnZmKkAFwwKvYkKCBRo+nxVgBKPOM7ow1ghY/X M4Aqxb3BBk9VdOskITvxti7orH1rooyJUpbjTVDmSm66M5yHE89UzDoDdZKi JIZGa2i13FzBbTOnxeEgdDlTS42aS66kGEXXqLhq26+dqQbxVq0YgzyYEXZR 0fFNecbkJSFHBrQnG+k5mpW4p1mBUfFGf8b46mK/nZ4BA3QN3E6K8vI7MDwu iow47NDaSdOZnPlL5iV1ls9zo6SxiQ3BRh9WH/oQ366+FuOWdcb45R3puxOm brgLaTnTHPRAbf/rtv4Yu/xifLmsA8Yvo+8VF+GXrQ8ivXSNuY2pdjPGrz70 gRxWdlnaWXb5cePd2F8wz1C/IevH0eEmLL3UhD6DE1xuXIFm2ZNtq4DmwCkN qdnT8eP6O+n46lhj+JwrOsux9xUuiLLAZ5Sukm25TWOXXiTt+3HT7cgsW62w ztBKGcj4WNwd81OHGG1TzoY/Uwary1/aCTlVO9Qln8WLsop/4k1g7GIiOkuq A4V/yOnHLO8gpx63pKM09589r5N+4pXtUrJnyGnHL78IKVnTFLSyuhu21G8e WXxldKg4Pg6Rsy+Xd5YOWLR3BBoaA0KWuEXSUPptXspTlsGCL2NB6mDZfuzS jnSx2+i6G6wO5f3od5c69qm0f0fpjJWHPjbuiWrH/vw/MY2uxuwoPh73wOK9 dDWN1YrE6XCQtESkpaWha9eu1vvaa6+lgUxLNG5ffvll1QZr++aYNWsWbr/9 dmt7XuZ1xnYJRu+Ym9Hh0KVLF1mePXu2M5R28eLF5iZxcsIk9OnTx3kw8zvW k8DtUamvt8n1sHDjKDuuliDpqXVBq2T+BOIMZw0ljE++C6PHTBcDgDy3oUZV 6S6t8OLo8VJsTsvC7MW78enUjRgychFufvJntO/9HU67aQKad/8OiX1noVmv nxF332zEPbwYrV/fjtNH7sNZow7giq+Oot+sQlz65TG0fucw2rwUxGlDgLOH RnDKCxraPgWc8iRw7jMRPDdZw/KUEMrcyvugiup5UVrFnKERC/IJmzcA72zW MTe9DhMORPD5XmDiEWBtUQNzBpeyKgwVTd0sGS8BqfQ9OyOE9p80Iq5/Ja74 CLj7e6A7cYcbvwK6jALaD9Vw2wcaFm5rEL859wV7J7gCgwQbl6r6O+WlbpIj HiwtDmPaMeD9VML6tYThxGVmZoRRE6y2nhihCqcqiwQHPOeV1uGBD8Jo1YcE 8p10m3pQXzzBbdExYI6OV/+KILfcj9qgD421DQQ0EZG6pijckBlBT2rzVR/Q PtTu5/dq+JHaYZbKl8cauCuE90htIMOSwAWzOP2v60tAi+upvw6qmjO9y8Po uL8Wb+0tx7bcCjy2OxsXr9qD017OxqVP7cfKo5nCmzj+ga9/e1oRPv7+MKbO y0DG0RKVqluu+AOXT6p0q/oqZm0V83EFDu7g2tWE7G/KRmZVETHx39T8WUlV HIPjWptLQLvTC22itpG1ZheAiGOWEWeVjXNFl/tJspXthChUlDwBcanTb3Y4 8JXmjEWMacO2SRg6tsqpj7aMhzRL9XYkzyu7vxVzY9WdsFviaqpOboIz1sYZ vSg43lT8gN33N8hlmOHBdXyt1MZEo7kOEuFysp/YoIVoK4vqTkdIlJy3KceK kwg5eMT/OR1YciJlM8Ubzrcuzty1NuzHLML8L5ddKjKfQXbssgsJIy7G6OWd BNVWHfgoyggwzsAF5g+/73wa45colOT1BVXbYfKLEt8BTFp5o+BOB1cbTF1/ O4Hv00Qa7pJzpeRMt44rmLP0EkLSTrB8D5ppx20T47k37cbKrFBHSDt7a3+D fHSSYxAiy3k7UR8wjjGpMJH7QMEihdbMe5a2pzaZ2HiK7C+ExtiWicNoulbG 3D93DLGEDB+LiYT0GfVVjjvVIDpn87KsiyIbDn8HczQmK2NXdJR2MHYvSHvG wN3OlsMhNWeqnJevKyXnJ2MwcH9cLL/zfRm39EKMW3GJnGtByhDMTRti9YPC uogYTZgX8LHpWo1ri0g/8z5yDXT/c6q2WQaaY2Urhc0w8eK2fru2K+akPY1J q6/HpvSJlnFB2rBMjRPq9zi+YFcroZJMimyuZpzVuI0mbXDSBcZ6Xjd06FBr ME+ePFnWEQeg7iV8p3XMB3gd/WbREPO43333nXXc2O3pN5dJIP7++29Zx4xh 2LBhcY4mjB492pG2Ez2f7uBPZTB5W4XkcD3fsAqs5NqLUr2cYHV0XhBnvjQV cck9MXbCXFEhV64/hO/n7cBbXy5H/9fn4frHf8KF90zGGb0mo/nt9L73JyT3 /R2J/RYh+enV+O97aTjnkwO44PNDuH5yJvr9VojHVtRjCqngn25yo6RcVWOo rKjGFZ8dRuuXD6PFUxoufFbHp/Nr8NyPDej8ZpjoC6nCzxOFGMzvRtz0roax 8+uxL8tLUOtDSUMIS906Rm4Dhq8PY2uWX+BxX3EAk/Y14tPdwOhDGv4saERZ tapSIwWSPEbCQKVHcnge+L4OzZ6uQZuXQ+hB6v2DP2n4ek0Qj87QcMvXEXQb r+PiN3V0fEnDC5ND2Hs0qPatULSB8/+Ol5RhQ1k9ZuWTSNin44V1OgYtA97a TBRiuy404jBRHy5LI2nKRr4ih/FJWTaiEkyHrnuVqFMfDecQdbrnB6D/7zre XhJBTmm1mEeCTBvqVTkbla/BGlhXLNhDuiK185K3gOun6piY0SiqPqv/qqal KivI4Yu19QHJr5QaXYSih3N1nP2QjvOIsqQWUB/UhnHpzhr8dLRKYJ8TLzbl l+HZ/fk4bWg2zhyxBo9uWIrF2ftRUFohVTy4guzUBccw6+/jyCsqtR5qJdRC nsakQijZqWM+NCuWOmTJUE22INc0OzDS14Q1fmgfp7mxWZ1z3ZKtXPZgBE5l 3jCDn8zmrcNGZpMpOMJxVXnkEyBYubCdUWymjdt2LcRo+ErNMeIFxE6ZbExN 06hiWyYSo7iN8e0SxHYlWhfBF2csR1k0zBgJMyWKjtvyZMG7J2ZD2heQ6MBt Q593NQXZ9qIKtnMRWJk3ISZmICpYIM5Iu3bGdRgcxGUyK2dktOU4SXQmLMR4 HBKjIkxEuEnkcww3Mtt+UrqRYNONtg6VC9iYMVFMEqx+Lt79Ory1RfJ7Pqmr v2zvL3DDcJdftV2J9XMJtX9CqLEaprLMZmvenRkHH8I89YK0pwT1J63shgJ3 mu2eIJSrrisWNDNRmJkKb8sMxoAk26VvhwIaPxkIc74ccs7mAQLSyhrRiRTo D8XLkFexXSwRaw58gtRjM+RUrDB/u/IaAcdJq65Fsf+wrC/zpeObldfL+m9W XksErFp6h4kGH5MtGYo0mN6NBLq8py2Qpe2UhSLBMGoorKdN7NA/jX5KFbMO U4FVBz5VfhCDVgj+Zk2XoAK6aGZh6uCdhGXYbpUzHKaTTtLvK/d/ZNwPm4nx PeJXRLbdJqYfYTXEaJyRH3+kPaWIYHNpHY8r9jBx33B/MknbdGQCYDo2Tkcp dRnvLZaYJcwN22PF4Q9VCxx8NCXrZ8cdj1L9xXfQo0cPl4nwbB5gn8LOnTtp HdEQklNOHwQTE5OIvPvuu1ZEBS2bxEK2Mc+hjsPHTpBtzOO89957anUL2dx8 cXOcp2MzAxEOq3nMS/6nGXabfD5vhflLaVTD1cHPMeD8blapGaM+zQ3ggqHf 08C+HWd2ehk9Bv+MCx+agVZ3T0HrHlOQcN8MNO83F82f+Bctn1uH00Zsx9nv 7cX5XxzBnd9n4vUVFfgqPYJZpcDUjAgOlNQZmNmI9cUaNhH2/VumyonwdYxf lo+2b+9Gm5eKxXxxw7uNqhij14+0Y/X4YpGGmz+L4JzhwOnER05/TkObJ3R0 GBwmrhLBwmzgc+IZ76QA24g/maXo2AyTU+nDT4ci+GxnBGMP6ZiZE0Z2pXqI Y6XhCuA82j83V6HFwHLEPVmPLmMjuIuw/7uVKvEvr8RPsytC1wZ0/4bw/Qsd nUYAXYgrjJ5bK/U1GGv3EJ9aUAR8k67htU06nlih3DD/ZNTjGPGHb4gjvJOi YwK1ldR3xtJAwHWPqvEtD5ZUNcM/m1OL8wYT53kNeHQuMHAh8Zdl9SitdKvU A+IQIY4ICNVBIw6mmzYM0X6UjXT0cuCWzzVcTiProUkNKKv0Ky7AT9EpV+4a 80ldJhcIafVSpe23NcT3iLF2eCeMK/PD6JpRhU15XsnTlnSMUvUQtlVHinHW rYU47bP96PjvKgxYvxizth3Gpp2FWJ9SgDe/PoiB7+7B6i3q6T1SALO8TFww zPvMh2Y6+YgjukEGv4gsZ3CfgYumh1CH4eS2bBgcxWAU2FGJuipZz09iJqDJ O85Rl0OhphPx2faRZFEZ820gaFw0hzEMEWZ5WNMPYPv0E5vw6Sc4gijsnISo rGS51PaGEHfKQsc1O4mFGXEgmYgqzsPiZuptxiZwZKfNYGipucMUYdAXozRz vDOe09VU9maSFRAR52ggvS6VpvOTE43yCKo5Tn+PWQ1RwiWivDxRlpjEprwo LivxKcq+EWP4MAaLI66kKR+wTT06Gf+rUaZZoQ3frrlB4Rxps6Gwz4jDU0jK 4C0aLL2X7HlVnaCriiWgP09dkeGF6CgKNh+60n/IYizMbBTXsz0Z1pLhI2Js Nw0nTvBSSBCxNWUDwMzfdmX9JOdm3jFp1XUo9x+JPosefcad2T+T1FBGgy3p 3xgo0kKUdmEEBOOpWT/K9gzXql2d+LpsbZp+m7eTOIdh2KHtDONGouwjxh76 jbexecopWLxnhHIcLOlMXRw02heJHvqG1yUt52fDaNSBKYjlIDBpxT97XzWu uxONuGpj57CJx4ZSICvZ3iK2HNqcL0NdchuxdSg7TAdpNm99qOAPMU6MXtFB aJXVKmX3sLrgn73D1e2i7qpvrLEcWc5nVCsLlKhZLjNmw+QQhtFCPBQOwI91 RXzxxRcWfTA34xctm6vZHmG+aFmtbi5bm0fhQAqTtBjmizhHe5wvFtR9+/aV tvXp0yd2KjHjVRzj5iiOoaroNiJQVy8VK1nXLiX8fftYAJeNW4q4Dq8i4Yav 0GbQKrR+Zi1aDN2Itq9txzkf7MdlE9Jxx7R8DF5UjM83ujHvkB8bj1YjI089 s2JLeT320KBIrYnQ8WvlUdcci8kYVkmiZHYBsKFOQxHXHSFuc8uY/WjzzmE0 f6EWZz+l4b2fg/IAaK4nxDVTuMaP19+IP7dFMGgycM5QkkyP0iU9AuI7Gs57 ScO1Y4D3l7IA4OfZdFTP9DAeRs1VPecfDQvX+Hw/8MNRDftKA+IqMav63vhR DeIG+/HfN4E7pwCDZoRxNFeZ+CXAMhDExvQgXpgVxu3UhhsnKnfEBcSJ+xIv +flgIxa4Icd/ZlUEg5fr+DYthAP5PmoTsQhXX2zPr8NHRJRH7KDrzwuptDyv Ctdguwvj75SlAZz3tI4LntfxwEzgpZXA4IVEyrOUHUpK0hvl6KXeTySsHmkb 0WwZRRLKXaPjtdWQIMrOw3W8MS1kPInXLaXD2EbDHErK3wcVznNBCrMs/wtf hpF0O7Xjtwjuz3fjeGUFSss5oboUJSVlUv9s494q3PZUFRKvKkPzgQU45ZnD OLX/Hpx5fw7OujsfrW4vQNyNeTi7Vz5+/LNYPQWYw1HYbeN8ZLrxbCgz5MIZ SZnK1yNS/T8yiltaI9u0hJh6tYloTCp8YS1B6oIkOIqByCYCw3FG6c9ok4Lp CeBgTC0q79kZs2iZEJJiTQjRpoTEqHxlM/XBGWmpG3UQLjZmtkmW2O3BMSJi 3uHyg2ZEqFGs0PTzqNVJJoFwmECisVu3sdskEP+TL8MyICTYlg/Hg3FN8RpT kNh4OSwg/5X/VelFm2sYfMNll10267LodhVlw+XVPIbuKG5hR7+Y3pWIBmd2 tZL+dhxGU4aappoujEOutKP8f4E1mfjFxo1xArcXi3XCPIvlfwEUG1nC8Rl3 Gs1Q0Kg+w6Im829sNGEoZP883+99+fOFdvD+hGtmvKRxFeaHSinQlWuFUX7M iosd8ZIRKwQRRrPsK1ZNZHcNMx6+BHGf6DBjI6yr0e3TrTo4yvAWdMTR0hXQ rEEAZJYsV0i89BJsyvxK1uUL+VCKvxHNYMZdzksZIhfIZhoVkSH8j+0AYrmR +IchamtV2f7HDXdIFzHkm7dBUQTzBpu6FcFz1gzDNdQKO3OmWSPAvKCfNvYU Zjc3bbCDqZks50xHXKUmLhOT1fH29qDRxIrDF8i/sRGFX8zCTBfVwfwF5qld Zh6myex+XK9cZH+kPm27wGA19YTAziaCL9mWYHGLJ554QuSm8ZvpBmH3hxmJ YZEGFV5hrqZN4mK2ZqphHsQ0XDCnMF6uWO5hfrPtxaQpRF+a4h63qGPy4m/W AzAYuBhwpE6BXxXdzMkvwQNLM3HRz6kEJEvRZmgaukzORfdpWXhqfg5GrynD /F2V2J7lQVY5Zy4QCHIYfqBePXXBqHGaVhlEWlDD3yW6xFCqZ6U0ipFDCq2Q RP2rGFhIYL02r4FGshftXt2FNiMy0G5IRJwt63ZXocrjl6QRftIEV2vix+FJ dZb6IPZlBvH2wkY8Ogs4faiOZn00JD0MtHlMQ+dhGl76PoyUIw1CXDg7Uiq6 EIFYnRPC6D3AJ7uBr9N1bCurFVCcscaNhMfK0frFWtw0DrhvKkhO+FBSVmw9 vYKfp8KxoOUeH35aV4+7vw6j21gdXT7VCeCBbh9qeIjaM2Sljgl7dewsrDOy N2j/KpWhykXSftzfKI6Xj/ZpqKD1TMDkIY50nn+3edCJCM1/SLzdNYlUnJ1h LNpfgyfm6/hlZ0jIlPnQLym2yg9r4xjPsMmbw5ZjMECDYE6ljsGLiYR8BFzx RgRf/x1UdRbKKqS+hJQ9dxuP+GUnjmRN1kuMb2l5EJcQcUl6MIxnlgfUgyVL SnEgswzjfnTj+ser0fr6Wnkg5n8e1XDBQILTbhHEdQOa9WiQZ+y0vJXGXnda f4uOdj1r8dZXOSpWJl6KrCZZDx03gzYM9iHjdac5mi0J4IANx7oz5LMlnBHb IVV9yCg6LBWKVLkyPjbzkkSzcpnYPhQ3kbqEUqnEAfFGpZJ4q8CA5S6Ib/rx A4nWU23MjFCngu6Ir4iO9jBpSYJzieufnoiddtSKlduvsudi8LSlQ/jYL03t 3kIkuWkjMfmb2SE8eFSBZlWK3RmZalV1so0m6pENZhCo/QCTGAdWbCJmdK6J YRdSOTRcm96ZEI8LpNWqajysYtIBfrqdGeRLHeOMweE327wcVWTNW2XZnpLt ZBBnLK/JbhIs+nJSIiObSE/L0iXGStPGb0QsyO2JF4g8zbwPAjXsrFh98BMV qbGC8Hx5ezuKkH5nmmD6Vn7Z2g9zCMjZSLAg7RkVGdBC7CfsxuHXGEPBlmAF m31YNgs1PyLWb/7aYsMVoVC1vtFvlAS4RqHtchWEkl+5w74duiJS4yVAQSn9 fDX5VduJqii3BgdBWD4fQAVjLL1I0FtltmhiSmJDAx9jwtLOUYEd/M3tYqPC t6uuExbCx+DjcsALMwP+Xp85UbZNy5puBWGm5fxsoP+5MGta8vWNXtYR36+6 Xvbjc3E38jcfl783ZoyXrXMrU8SOwtsvMNiPZvQZ7ysOIrpN3Cf8IqqlyM+p YhNxMjgnsRBmRk1UlzPEagbfvvk7npL/N6dPdNmP4aFxaUZr8HvYsGHqoDFE wVwPh3zkdcZ+ls/LNKDwbxZjsTflAI/EJiRGWlqaeabZs2db6aVN+VKkNp1r mcUTTXsHQ5Q8UZHjOWpUeX2OAUg5mI47vl6Mezbk4D+jtqDF0N14/NdcHMkr QW5RmYoPIH3VLC1kFmHwVqsnkLA/g0MsK0K12B6E+BiKPOpp9ZwywbRBnk0t j2kLS0Lnn2URibuYm1aOhJe3ofWwMpz9XAS3jwohr1CFbXLZJvbLcLsZYpkq cRmnnIpa7PUSjz8GiaHoObEB570AnPoE0IrebZ8EznhWwwOfA9OXhOXRbLIv tWVfeQMmpmv4PA2YnAP8lVuPW0YH0OwRLy56T8edU3Q8+UsQx3JUyCPr+mwj 4HQaVRNZ1ZBeeKAeb67V0YtodpcvgE5vAue+qOM6gvgNhxvlXBz2GfCrJFOh HdRPBwsD+GKnhne2A38cr5WYDqY+Ow94xF9zBlHz7qOB4Zvp98waHCv1YhDR jvdX6XBzndSgshFwgitTMH7SBT8TVRXw0Kx83yAh+FKPhjHZwJ2zqF2f6Ljm DaIia31CO5hG8Hkl/YMoHse8MANQT26hPiZK1OtIBGeNANo/pGHawioM+8SD 8+72IqlLEM17knr4MtBrMvDUP0A/OseF1Od3EO3r8w5Rwk8acfP3Ppw1qRxn jMlA/NPlOOX2Agx59wAOZnrUudinJI93qLIZSJ2q4cz1m532jwoZ03bsh1Ek QunUCjFphlUzBPkjEgCiJwp0Nnc+0UDezgxTMWrIc40UdjqLSYhi3iDWghgn igleUbEIYUetJcQEZzqsIEb8QXRGpBYTs2CYR3SY3hdzaqvSEok2wTLyZ4Ia V8lVrMkEZUeF56Dh0TBKNpiBqSHNUSjKjIdVl+g64amAUVm0RsCFs4BsbOPt SzPuWZNlp0y7ikpvMoBNyawmU+KaSp2XT4mYdBlRwYnqaTbAibYW9QCLeKEk RpUuV1NPtXKUvjuhgm+clSrT1NNs/hccRdZfaqw8KUcx6xSFwgEJZWUDxARi AuwtYaRVqKZCRZmgKLN+ZyPno7NKf1nSyTDXdDajLATxx624TEw0vE5xIM0y 0xiswFlEle0epmXml60PKhuR63xBTY6iZETNrWKPqH0YJhjMp5jQMLJGLMeM sqXMM+MooFI75+14QuwsTJ4KKrZbiG0GkDAJUs4cXTFtHVa6jory5chYokNx vDmxDr7uBSniyUFq7s8qNNW0+Zj6mWWy6izhpmMMm4cZMvyllTJyMTGVJ2Xc Fbm3WyYwy1wjoVtCiFTkSmchVby5MnVw6+JVDI86reF4amv8HxaT1Gjj9omD iPqOCQ5Hh5jeHrG4Ca5rZr5NTCEI+bYiPxOttBHzlZ6e7jLTSgwKErW7tWsS MjMzxQNjmkaMzZ2hqZwJYxIj2txlNoqdOCNHjhQvEZMdjiCxXD8q+tWcFcor c6blT+OEFXk+YTgkJVcZFZhdsLX8q+lz0WXiPLxRUEYomoN2I7ah3eu7MW9z lqAaV2sX675bnr7ASm6Vx/WCSn7khBBS/CsJzXP9IWyoIh5ZqONAqV9VYvcr A0WoXhk42FvDenBJjY6/yolJ5BK6TclDs2fT0PqpepzzlI5P5/JjOlX9Bd63 xnjOmZTQIiSt8IVwnO7XrFyV7PrtwTDx8xB2ZIYxYlYYV76vIkba0Uxo81RE GAwnsb4/K4KC0kZJ4MgP1GF2TgRfZQDPrST9ZogPzZ+qw80TIug3A/h9RzWK igpQUlKEklIVPSHJKsTa8jw+SZidTYyMk2UGL9Vw//QIbhkHdP1cx2VvAB3o 3IPGhVFYHpJnQarEWb8wQ/a0zD9Si3dTiYHsCSOj2COsocc7IZz9ZCO6kIb0 7Aod7x2IYHNOtSSAvPB3BC8u1lDsqRN7gjwLssYrxzYSQuLYXeO6wXrMN9um FpdqmEjv/iSfun+roysRlmvf1bA2rRrFRMI4YFQIi7tUPerOU27lqi73+XFL TQgX/B1G87uItnerhevqWpzBBUc+jIgD6cnFNFpX6hi/WcMTC4Bbx+r4d7t6 eAY/6OJgkQd3Hj6A9htTcc60/Uh+ohz/Gboc1z27BX+vKhfnkLe6Ruxt6iEi pv2nVgJdHIGqlZaIV0qcFc7JrEKev0Df1fT2csCGl3XnanFpsNrPcSASCxKm 3wJStNmvac5a7s4oUBUJwlGeEVvb5rcBbfFWsesEuwBlgpOzWJWvbTxLin6m dQzamoEtut7auE5db2Wsg+mScFR0jLdsEa7oJ29LmIrp23BSIDveNMGMpoB9 SNroDAdpMOM65W1WAo+NnncIOIdnRtovFbQdPeyK8oyp6GFnsG2CVYZE8paN uh4x9idH1Vyni8mu9BH/f80bzEKfJ7doKATiHc1wBWWteBCe2nyrMpNp8Ugv W6X8L8tVDIG5nveXbE7G0Hhx94jmvsxMOzlF0lLMopXQDTuBLBtFKo1k0tSs mVbKJVsMoJuFDk/FpsxvFBEgwGcnigk/fIdZozetIRyBwmcw14030kpgFdg8 Tf5nnGZ85zQdU923IjqEBwyxuofbafIpAmfToaMO185Iz+0kacHcKWlZM1TW MQdycoaIdRj1rTJ0OhkZKEYgx6XS6vEGw1px8CPZjb0q4rFarpiJM2tY4lKM WFimDvyS2BbDjpRRukbsHxHHqU0WM3NLXznuQoPt2GkpKj6H6cSqg+/bzhXT 7tAqypfB8sxEbEb0oqIiZ2KL639v6rCsFUnOjZviJ2YQKTOGO+64w0hwUb8x 6ejRo4flW6HdOGXSoAvKqCG5rWHHo5D9yqiRfjQH/d6egOvmbcD4Bg37SWY/ +Ps+xD2/Fde9nyIV0bm+s6oy6RZDOD9zzO16V6iC+ShVDhQ47g5gIynT84s1 7CzxiyFEnhsXMGs2Gw8vqQ2Jr4NrNqyqiuDb4zouGJ0O19OHcSrd7Q4vRrBh l8cKLJT96oMS3FEd9ImCvy9ASnpWBMM3AR8RCS72qhrFrNTzNZdUapi5UUev sZCAU86jPZWoCBs+2g3Q8dgYHTuP1qLSX4852Y24YFQ94h73otOHQE9iXSOI QuzOcaOopFj1QQkHMpSgkKjT+pIGybMdexh0fg3PrCKKQ7dna04IU9cDd7Gv ZaKiDh1GAJe/AvywNAxfda3UipAnPHi8yC0PYHwK8MEeojy76/Hs9yGcORC4 6l0VLPpaWgTj0iPILqkSIxRXyhq4ENhTUCcJMAHjaRFsQOE8Vu5bebRuSD0F gv0i3Hf8YL5vST49kU7f64K4/UvgOqIkPT9uwMGjbqF6HBTKD+EhShTHZfRd FwtLmnrIj0u36jj3TQiTu+J1SGrtoPnEaP7VqJs0/LijAQfYfURNmpUaRo8p Oh6ZoEmFrAq6zGE7j6P9+sO4am06vjqYhU7vV+HMUbvQY+YK3D10P2b9VQR/ gFiUWz1EgLtGCo4FuESKPzaetNyYSQ7Z73i+I6lcTi3UNGgYz32gN1GKRkYv nxAH/qD1cVb0B1GHsOGIYXysMTBO8YdEyyBixpXa2RhNJq2KbcB+UoTpWXAG Zkblg8bb5pHoQhJ8rcZDb+xHW8UwjjYmCkajuVQDdHp2HdGWRpirmfVr6Ptm M+2a2M6QTVOxT3Ko+HY0haPBSYZtw7FalRiJLZKhWbEiCtZbWFLL/OaXo1pg DEFRWraEjkA5gywKKA2wo3eMMGDLSyYBt07rRoK6ZYqFRJtzGlV3aQkqy/nE bOH/t8TkIkP4N2L00osxnrTsqet6WvhkJMSqLqA/X22elTBrJ9JyV4XFJcN4 xsZ79dLsgg6Ek2k5M631qjutiAZLNWUM5TjRL43kVzb4w6xCed4JlHF/wQIF wUs6ipvDGaCwKWO85aLg7fiVV5kmWrzklq7qBisAhfqc84ql0IgKnDCa1EpZ OJYrYwO7cTSTTMHIqV3RUYw+EesyzpHCJSoftrMQLd4lLfsnjDFSTjjQgoma aqqiBKsPjFLhtmu7qes0gmr8wSLL+GEExPB1GITvAkxeea1dp5vevxLdMHN6 mZjxag764H5gS4VJd+xwX/XcBl7m37h9362+3h5LfNu5DSrXVkJoiUSevPxl MtauXWvRgjFjxljbpKam/g80JdHpZpF0GUVrmHQ0tX1rJ63hlBj5kY0ZZv0O Pje/mL4QdYo99cnybdWk6WzJAZVuazwej1kMIWBhcREmzvwD/336awzaUADS 3bGXbsOvhbU46+M9iHtlN57/Kw+7ywI46gsg1xNAsdsvkRFcM1ugpko9TJpT STjVZKtHx9xiYBuxGLMqFlcL83uqUOsLotrvNdI+BkoVL3lMX3UIwzYFkfja LiQPqZCoiAdH10vqJ1eUqvK7BY0ZrZkFsDHlALGYP3KBNzapih0Z5XVWlASr B5ox8nhk+uo1bMkkUkhzl9Noz3pJw+kv6Gj9OAmmvhE88qWGQT+H0GywH22G crot0O9X4NMDGmbnNCCP2AtHiBSUleH/oe09oOSorq3h/rpnRhIgDM4RMMk4 YoMDfjY22PCMjcnJ5IxAiCiTRRIIJCQRRJIQEkFCAYRQDiinGWXNKI3CSJqc Z7p7pnNX1f7POTdU9Wj81vvX+r5eq7qrbt26detWdd29T9xC1zW1Pos3dgMP rWErEBWd49M9jkzjnAWao2HsJOQwYDLw+1dcnDWCkMwTDk4cQNdFyKZsly8I YfXEstoEXq7wcNmHDr51vYfT7gdunJbHiHVpPLDBw7u7VWpeRnXvl2YEyUzf mpHxYJNizgTSKVHXdJq7brb46Q6zCUnot2JxvKDRwZuHgOv3Egg6EMXoL1L4 A71rzqD/0aUvOjhQ0ypJORiwstUpX259YwNmrOnAWY97ov362X0urvoIuG85 cAdd9hPz8/h0SxKH6nREVwKrnIarpiWBqyYA//WMi1nb2vHknn04ccV2/GTW LsyoaiR0044p67rR//I0TvtwMc55pwyXPrwDZVub5TLYU7e1vUk8gdgDynjH 9LBYFTRTECJYPf0K4Kj8Ckfbt6kxYk1qowKGNJzWqpOe9w7CLQRtBOLEc1AA Jy7qGrGTcAJGrcqpxvOC1iIFSe17s5ageTkwXxaksxZwA17ckJ/XvtgihB74 pwd+ODyseMSaM/xAD4YxJs3DK7RK4S4waNGLETMUuMV6Xh+ubYQoQcWKwS49 /GJlLj/S90juJdSX2nGE/o/qt7gHexNdFwWs0X6U2poaiYtndVBkJbYhVgtV XOD8y+NtpUMBLUwW2tdaQoYWabVTHn54NBMi7f+G+MRMLDwvqdhi54gbp/LQ ddAU313gMjtz0/0y93NcKXaJ5TOysIRjlPH8buZAHl5lPXqyVSwsqngO6/a9 Le43+s5YNxtF7V3srJmuTEVnn4jJZTdrjcu3xFKF3Wx5Dn1t0W/RGN0ud6E5 vhujF/9SMAG7nqacmBaCqABh7LrCOGbZrpHSXzYTEQWHjpNmJj2X8Ai7/hql B2turGyIxqExutNKSNYfGKvH5MfU7suiXOH5m7EJjwcboRqlFO8bt/xscfvZ Uj1d+szmMsM1HmIpC9sA8zgwrnphrjJT4Vij/GGrWhbYDNOakBW7X1LX0bFa jeuCU63ns7HCe23xmVZrVVH9ifX+zWRohozt1Pd1m70vjH3M+C+vfMkawHYk agNjUPjkB2J7GazAuMCE9iTM8L+RmqgwICI14VUVYszYeASxi8E8jF3UPiUq YdGJ+fBxY8aMsfuCEhh5JOnveZYc/Wyhv202JxJ6yc9Lk9eKDZvwj/tGoHjg LPxhahTrOIFHzMM+YlSPr2hB6I5V+NmovVjeBWylSXxhC7C4HVhCqHNph4Pl 7Vms70hJTt69HQnsJrBQ1uliZr2H5Q0pLc7nuA9tYtYZiycll7OZLMUng2bH qAY3f3rvAEJ3bkG/W/L4zs0uXpvZKbmxefJVsSOU6SvbWZQTA+Y83oNXuzQj uthYlxWxDPujcjJN81ILCvLU4OXQQP1/ZS6Bg6eBbw70cCyBkZJraLgu8dD3 xgx+/qwyC715FjC0nIDIDmDsziy20Uw7vyGL9/YBT62nWXgRcMNCaqvMFZGI iDOyKhwb+wC5SniKaZuUqSuHI/v1iy5OewD40V3AIwQ4DtSn5JpYJPXwHAcn 3AmZ7S8Z72L6phiGb0lh8BYa86qoIAQWTa090I3rphEzWuYJkFQ5eWNW/sBB zKmMX9TRWOh3IoriMV9OIO21ag837SFqozU9j3+cwW+HefjF4y5ufcWRWB+M PliksnV7G+58M4kf3uzhpNtcnENQeNBiur+7uvAEgb7nluZQz4kWW1SYUYkx z7IQHVB9zNIM/joMOP2NBI5fXIGTFm3FxztqRNPHGigGYH8a4OJXzzXhio3r 8YPXl+H8watEy8RgS/nPtNiENMYXyCT+Y/AtBCiQtqvImu9r9qP0NEfZuTPr +WaYjEI68o4gkHZa+Jeef6WyCebZ9MwikUeKjIeKhyAAiWjLg4TrKJsNk3/P jwfuu+/28NwVg9bDbTH6WqtNbYhQ6BSil2PV5OxpjYeNkApr0KIyJgedh7Ms feiBcjSMUPYQx/Riu9KvV1zhuja5gx5zsR8VZRfrXZRYI2yNSLXaxTf8Dfgi +dDMhEUJoAWT2TTgwRzoR94YAf+/EHH0M69WEVnwHMii/9GLzsTUDddLbCll ncBw+BtyTsEKxOl5Lhu9+BeYtuFWqc8a/1FfnoloulbLAFwd8ELFJeO5nTk+ YwqepzXIsL4JJpInz9Mv6jhnI+afbOKjKv3L3+hdNUWmU5n+5yn/EjG+0F3n qJ3mknrGGDUxS5UmQw3HwnJlLMt1lQ3FKfYYEYewv818IwkClu0ZoQwl5vwI H665BB+uulTgCV8q7zM3gafklzWsYCjCv2I8ojx0FVyoHKksS2mZsPoyGqbL bRi0ZXtG2iExfeOwZ59oS1gT85X7ye3Or3jSuryyxoWHm6VW3D774og1LrW7 pmq8CUuytHK4FUJ9uPpyvL/mUoscuGt6eulNDGCQw8SJE62UgQ02dB01gfcP ggE7wRvLCwYEpswIJVhPYmKNBwUY/PH1OEcEpRRqsAlUmDYfe+wxs+/30tQ3 CrACsz1WdYj7SjKBN2Yuxc/uehW/GrMbZ02MYcJeD7u6PRzq4gQeGfzmjXKE b12CAXPacChDuKjDRVk7/7vXt3EGhbWdKqHuyg6IZcaSdheraX12E/BZjYv6 hlYdFrtT5ZnXiaaMGwbHymKG26kTfi0ob8HRD23GkXfXiHXFTwflULG3kXAZ MeiWZhGKiJqnswM7OtOYS9jlkbUu7llMc9+hlA1dKbiIhV+u8WU6Rw+XMS12 rUU2vwrnbHZxzRuO+OZ++y4Ppz7midrl4onU/gpi+VtzeHyTixd3EWY44GFk BTBghSd+so+vzGPp/piyvKD5kV1meHwljobhkK6Cts1dHp4i/HHO64QbhtMc +qyDH9Ld/OOjHmavy2Dqlwmak4HvE3q/4F2iICsz2FVVj4c3eBiyxcG+2gZR +7CvbW1LFLd9Dtz9BWRelXFpbdNuKW1qW/uoEuMP8+Qc+i02tKQwlsD5zbuB dxvT2NLSga3723Dbxzn8nrp02kDgxS8SOFjXgvcXRPGr+1384DYPv30SuHwa 8Hca7sVVMTTTNP7QUoJza3NoalOJRpS5sfL4YYED3679BK8uGevh9FeAE6bt wfjdB8XIxYRsY6jz7ow8TroyjeXV7bhzbzm+9eIy3PH8Ouk6XwJDBg6toqKy 9hpmrMV/7wdoporxocBCiY3lwXMSz2GdDoMEJ8wogf5zhH3RqW08jGKG03Tz 39/4uyiDVfousiaaOiqGTaMZDEOhZfpaPhEK61k7AAZswLAiq3CRCc2flI3l gY7f0a+XF1KJeu3AQ28xWQszNdl3ue+x6+kwXX16xA9VaojDg64eVWhN2cN4 hJav+IiiKCjeUC9UFTTdzOOsRtKqJNVvnctKQX3L1pR+JSmXEjL6sbhbIKsQ 7FYU9CgGerUUtYFR+9hoKv8v4MU3VHUtkOGQ5wwVxCFFwkedqF1tg646roSZ 4vnKxADndllc0RivMH7LHtNhhhy8j60NmuK7ac77pUxgtSza9x1NdbOe3WT4 Yrw9OLSotuAzzxDc0A+wt2mezJsi/ph7gticch/Y/MTXpBiMcYoN1rW1bpqI UobPP1Wuccr667Q4BlY8IVHF5hsbzVNMaFJtF3KW9H39wXdUP3XdF+f+SMQL VvDI2qAD74u6ZsTckySdzKKKp2VMrc+tzmbGWiMed8EpHECdflfuHIWg6Uy1 jTxyCjbufQcVddMxiiGbdu9lq49sLuEPqXzlURvfLpFB+FokzKu+HqVW8t1Y 1h58l+DiGRzCNswXRP/GFbtG2WEMPif/yTXdECFWZxhLj0cffdRUZYMLHcDc WmCbwOZcFqzHQMEv818MgfrqibWgo68Nnm4+JjAZd4WwT28w6Uz1RPEFPW3V JSpyh/JmYTvRe6ctwzf+/TG+PWwlrp92EA8sT+MAUa2WzrioKhZtP4TQbUtQ fO8WfLGjBU1dCeygN/XOtjwq2hxsawU2twGbeGn1ZH1bu4e5hMNH7Mjhrb3A J4REZtflUNqWwKHObiVT5+Qq8ZQw0FiXmrmFsdOUdNnrO1B831YcOaAT37kO uPaVbtTzzFtXLx4YzKbZu2RnewpfNgNPlbq4bTHN4JV5URUoX8yMVhUrHWjw yTG/rvWwUh42HOybjSROJwx33AOEEt5gp1gPV00H3tualPNP3JbGU2WESuic tywg5r7ExdSd3TJNslyfpQQmkTgnJQ8iIn4LGPU136ile4B/TXBEgnEWT/2E Qtg75NvXAl//Fz0PryiUM2R9FuO2JfHoeoIMO5JiYNTYUCdSHDa0eXSBi+un e9hRHZOpmo1zaHzo2WlpbQ99T9AaI72Wzi7sbE1idVMWE6rzeO0gtb/TxVUE RW6v83BHPXDDRhfnf6wMQFmPcsGoLE4gRMTOtBe+lceta6hflcCP6UaztKOe IMa9K/IYXZrnexhSvrE/EAlVh2S+a8eYijqcPqNddDOXTuym/ikpCfeTJRss geLkM2fc4OHaZ2KizvvZonX46uXzMGbCDrEEEb1Ju3H27bLpUQPWIMqIMWr+ Cf5/xfqc2rnAzsoqS5a1MnV8HUoH3ag2+sO0C0jxwhaIwIARPQ2qrC3xvKN9 TpUnRYHPKf2fUpLog0FIsU+8qTzjSLRYng5dhzGIK/6jrNNwI6LeKJwT+/cy TxZbQX6oMMioVOujXgPw46QGh6bY7jWh4wusUTXkKFKCjpRXEN7c841dTJwx pW0pNJfVCMs3FYn04h+S9yUswSCqxb3ISyI2sohNSeNDHLUVyDMfdKXxjXDl 4mMyAhzPTPtCyZ0NOD6pkHJ+1DUtXAn7fjHGathCnBx8Zxij+mJ7oQLjmP/L JqwK5xhTA2NXyioAnvP9+dK37oDddNEUqxDLyY6UUhnAM87e8JP+mCMOtBv7 i/7qASwQAqsfFh6wcIAn47FLz6GJO2lAjvbR7GPrmluRzHeITUTCiVqTE/Ro W1dV+Ev+0qhqLUUm1+Gf3vWMeStDCjNcxozVSrX861fakLYN4jgbuAj96xbr i+XR5IxzBdfqcbD5LjkV26jajsLoBbkrX/MvNnBak1HP3hlPQ5HAvGTeVhyy luO8+anYjvZ3euoSuL1a8el1C+944UAH7LwLCcnixYuDHisW7phAp7wQ8zXF TIJNsUVB/6F2iah1ArXlhFRmNC3XXnttwcPgRyqJiMWK3terScgv7VWFzj8M 5DBPZYBx/YT5+PoTk3DMy3NwxBNT0HfwVFwweQve2tIsrqnMnf/57nIU370G P35mq3hNKDuPNhXCk8BKE3Hfms4EqqMp7O/IoqLdxbpWF+/QZPgEjfuLW4Fh 24BROzjfKjDxgIcZtR5Wt3L9NLWhssiYLCf7G1vxnce2ot/9u3HENS6Ov8vB 1BUdqKmrFRuWxvoGCZe1py2OZZ3KEeW2RcCkiiRi0Q6xhzBBJ9j5x2Q6k/e/ Z4MH6hv5qBLnyfswIznFR83N4PiBNJE/SQDrQwfXfARc8TGrVeKobWzAtIo4 Lv/IxUUfUvkMup5yOi+BNwZponaiPjDgUS6oUR0EI0sTcjpg0OA/iDRseGuZ i7++5uK/RhLAeNqV7DH8O3hRHiM2uXh8AzCQAMjg9R5W7W+VceBQ+SpkWDNe WZYSU9PPt6nIJyzHYCDIoef2NXdjdWMKnxHQfLfKxUt0H56kMXtgJauUPNyw BLiGwNQ1y7O4ciVt0/26YaWD895xxKHo5AHA756h/dOAu+iYf20EzibA9dPS BH6+sx7n7KnDtStoX2kKnzY1YysBvha6drbEFVUQgb4Je6px4vJNOHHudvxm LAHIoQ5WblWiIJHPdNDzFlV5e1/+KIXvXZAlENiBczaswldfnYPvXfYZ5izb r9Q9nSpPLz8zPLZKpJXpaTDSpP8TgXnDhtMIlmkdhgcVPMPG3lDvGTVDI5lT gUdijqPtEb6iA1Xk7SIxxbw8gZocgRq1nibwnPEc+U05Ofql5wB5mQBzdL4s WAGRk4X3qfRxjv0lECQYIicqE1VGi1h2uIKM9A4tsAj5QEmUE9QSfdPC2MBT 337lSM9QJAVBWeX/0cdOw0W9jJ28cY72B9CPKcYzvzKQ6dNb9HULiXqT4vRM EVsYo91EggtqknyIEwgqH0RLPV2F7VaPekXa7LYXjBSYJFz20jHvWtEIsuSH n42IqJ9Y+hOXAegyiYWM8k7ZEBFtDYbYDwTcNeKt/2gSbSBiAPf1yJoXCdq0 KAisXZ48f/m1memM/pK+atpKdSK3UzggiWXhvvIPvh/rPI5c74ZU0N5joFLc w/rxcLqcMYt+ZeUUDHckJ528fPMSoaSsarxOIeN+W/89ReTRus5abn6y/hb1 aKrUpf0kamcwTji/BDhml7Fj4NwlZs41uUu0FsQUs0LEFFOV/0VtI04I1A4G BBNHVFXMwgiuyeYT1LXeLE5VEuLzrNRfO5rJ9MwaEJ662DGhurUd54yejuOe moDbpy7HZR+uQL8n5yD85AwUPfopih/7HCe98DluGbcQxzy6AP3v34J/vrkL lQcb5TWpHEpMFIaY1mqojCRVrWnMrXXwNE3Lb5TnseFgFJ9WZvDadpoetjli hTCi3MPru4Bx+4BPqj0saXCxozWDFpruZ+xqQ9Hd63HUnXUIXwKcP5pe5zUJ 8RtlDs6+o5XNUayKOhhJ57htYQ6vb8xI9FFORMoyAMVTs4qn5vJhfneHnpAn MegMZlEnDRe/3TvjGZqNHBw30MMfR9Csv74LLyzP4G/jPTw2L40vd8Vw1ScO zh3j4e/jgcsnAVd9msfHm9IiWuFAJSr/a7c1HIiJsr9LDFVEeu+kRVWqDCo8 CYKRy6ew6VAGt3yUx+9GurhkAs1484ChS/P4jJAHI51B61wMWAus2deqFEN1 9covprkOG/Z14vqpLl4rS6GmpV1m5M9rshh/wMWI3cCzW1w8vNbDgMXAjbM8 XP2Zh3997onzyK0LgQk7sjSkXdhUE8XW6nasPdiBqz9wccG7nog4HlvqYhZd ++y9XTSjU//mA39f5OLPX7o4i/ZdQ+t/Xwr8cksMvy5vwYWVzbirqhHv1LXg 1UN1+NHCChw/twJvbK3BkwtTSsQyNq0CarRr44iOVlqPY/vebpx1u4u/PN+K Xy1YhhMmzcevHlqPX98+H4vX71eKnZjKE8zKPBYdcfB7frydTDYkb9Aef4tR ZnoJSCLk5SJFOp+QIkrGszvwK/GQc/wSzPJMlGNzQ5r2HI9uJsG6rJeR6TXl ZGR67soTBKaHKeE6xGRpji0SUUQyn9WzdJ7VI1mZpVk2kY3IfC0zMe/ghedg 5Iv15JynVtWZckzwvVyxzLqy28zBstCcHFL7ioTOsPUwL7Qelkm5r4TSM9O0 UUSoX1stz696R2iwK81oYFuk3/nmH2OtGv9D+IuIZT0yoQWVNMY6Q01CSjYj kxTshBVSYU6KfZVGgZuINjtxC/LE9JbirdjGNFEJdM2vHx6kj576bXmP6GtK oZMvHLCwBjmuPkxNjkpdZUhT0EkYpsw3lFNzZw8k4Ad/b1BzP8v28p4YF8dF FqakXwwDYp4XkH71tEQxoXELfJqDBjm+Z1EPD5vD8E2vs7w8DkX+fN+vgOjz RMt2FGyzwLEo9D8vZKKLArA2Fy/PO1XFijky+A9VI0hnbYztwpgFZ1hzD7E0 nXuKjVPBsIJVJzzuaq5XiV0545pKXfsjUS1Bkpp4+KvUOaLAMoHn1AEDBlhl gNE1EF/uGfRKOY3aIOA9bSXV3Tfmj8pW0lbuf5gZAzNtIwFgLQVHm+A6pgME EXpVjIghRegk9d/UQWbZVo/17+J+SMRlZ00T/uulKTju6fF4Z2W5hNv8cnc9 rpvVgkFLD+C7L81Dnyc+w1FDPsXXnpmDox/cgGPu3o6jBm3Hdx/cgT88vQmD 3tuF6avqsGN/p8S4SqaUFT1PbZtjHsZX0UxPpG35ARYhtba2hoajrrkTFfVd mLc/g/d25vDyFg/DtjBR9/DyTg/v7veIzDm45LNO/J97NiJ8Q0xSs/+biPai jjz21zYLAd3T0IHSGPAaTWF30tT1cmmeSLIKQyk6/piJBNmFdEqRtVQuL+84 ZVenUZC8wxzfgSWXwfgVeRx/LxHQx4DrJuexma7vqTUurqQp/eIJDq4gYn7e u8DDn2UIBiRw+UQPl9K+K4mojtuQo7HIIJNIKrfaqLJJFJtO4wqayFplPfeD uqTidKczSHZnMHhGHv8Yx1oU4Bkal3toGr57loP7Fjl4aBUR5eUuHilLi+0i u77yeFTWtxIS6sIds4mwL/bwRhWnlfXwb4IGd9JUfP0cgiM8tc9Q8OH5FTlM p7E7REjpi30uHlgOPFqalb52NLcTbGjFzVMdXPqBg6eI/HPUjqdWA/XNccyj afjKhXk8W5bFhoZuvFeewmA6D83CuIrO85eFNP0Tuf8dtfm7tVmcsSGDn65t xPHzduHcJdvp/9+Gg00El4jon/08sL4yIcSaCHaYmXnoayLjGT0pha9cnsF3 P1qOn86Yg9lra3HGrRtw3pOLULm3UXg+K6z4kePZXpQ7SeLkuaxEdzVKCMl+ xPZi7lm9/FnkdSMpA9j50pFZnB0jsxzAO8Pv4KxEaMjwGheBVQX0K8LEbFjV Mmv86s/KtJyRqVnN1zT9swIiT0jQ4SWrlzR7ELh0UJrnfFWLtonBZ9VCk1va S4d0BYIC/looIshCk3iZ+zOMDLJhs6YZvGXi4f+ADBSQUCw9gAxo7ju8TDCA FBXrvfznkVi8cFRdDZQMvuDFiEldK+xUgx0JvPANarCC9z4yneb0whFYdfRN HSRMGaEaS0pCVcrUlHCMhMSCylBjKGzAEcaw28OTvR6mIQlr69QecbPsFBjU kxiqf1jc9QBp1hN6n57FCj8E3XSNz62aR/3wiofFC9uvoUCR6MeUr5GrjHii OUcb6nQp+56Q9imyXrcGFoR0SDGVeeewGGIBC9pCo9w8Yxpa6eurRXxBjfIM 5aytR+g51uj2fSG4ykyrbAw9k4rnK9aHFgjI6D3lmMLWDMYgdLhONSfWG3N+ hHVVY0PfkTb6yjSfyHZL8+LQOUc5RrDFRixZc67+9xv1L38knAPNrhE9e/OM rxN+WVE3v8T1dB+K6ODdvB0I3m1MWFlGwMDBzOHBiJlU3cYlo4tlw0kTscKP HFEkITLNxzs8Owksr/9bwKrRk1egsmok/tGdQOn+apw5/BOc+tzHmLl5p8xK HADowo86saET2BHtxpLKWlz54Up86+UvcOyL63DkgN046vadOGJgOY66h5YB 5eg/sAJfubcc33ugAn96cR8emLwPC8oasHxnG4jn4nXi7G/vcMSTgc3dmLhF 451i5cgzYDsR4AOtXVhRm8HHe3LE0Wmm2k3cn3j/iS8ewP+5cydCV3g4+X7g HZqVprbnJTrm4kMJrKGZavxemg2XenhutYMDtX7mTU5wLtkv2EOAriVmgll0 iwic/965XOhJJZb3XE2uIdtdqSzOG+bie/dAXDLHrUli0Y5OPLjcw2Airxd9 AJw/1sNNk3NiuscmeizuvvJDDxdOcnH1p8CYdY6QeA6CISoFms3inECc1QJM RrvSgkLEql+ywTkqwAYdM25tHue+5eFOmpWHbwdGbSJSTbP83USmb53p4UVC I7euIHK+Eph9MImldV2YUEWEvhIiUudZl4NRsO3Dv77wpD830zP72BIHH27L i8dIW8qhKZFfVipzy35CUuzSessyQuNNUSwr78Rl4z2JfvnMBsg4v1zu4uFV Dh5bToiHkMdtNJs3tPpWnTzOjy/NiwBgcVWG7nsGD5d5QvgvpnNfvQk4bWkG J8yrxS+X7sCIzYQsZ6VxzkvAgzSWHIiK/zSSrZbjmdEzs6uqHT+5IY9jX9qE H82bhK27mvH+5Dqc/vBi3Dl6JVpbOuUei2wp3qFF8TTlp7tFpsMRRE28b4mm K6xBJiQRu2Z5RhCerik7z+PMaNIys9OvcLo0czovDUfk6SlaTzIESIryO8Vr dsk7CYmWkJT2pQm/GdV+iT5IncNUol85MTWMTLAjtEl9zIginztCAAApl54t J8kLB9NK89ubkERXPiUoIsIVNCDgqrwV5spqj5TTwglJvbRACJF85yQTXUZ6 m+HeEnBgwk2FLLhgnKDkDmkFLwr2qUXtyzOGycoV0CFmZ8iUMRhiiQhDoxIN kIyUxG71k9Uiu8MVHzoldNAgRO/SMKNEySX4ngbkMlYQ0weat5uWpLrWTIR8 CJU3uhMqo28Oq5kP+xDDgA7BYK6JxOG6YW2iGnS0JYwS0diC4YrWmwiLdkRx IgDDsSBDAIZEB7PTax8rYzChwnI+bNBagt40B4ex8sPKROvgxx7Za2EDm9O0 EzNi2BDnWOzsEFQsmwEbXwnhFrEmvkUWL5T4UUYLpQfB+KqBZHZacOKylSnd MhG9H6kQOq390E5w6pamM5xuiZFEkc02qj6uEX0fbF0tunZOPkLFygNUqeP9 NLH6AaHveKpa8rSwf0vpgbdRXvMpOtP1Rjv7bT13m3FatmuEdRMVu8x5J6Cq fd05up8B9BAK6tbZJpEl+Dyvs9ogFouF/+MhKrMYV+eF1kt6VKUiqsp0vzAJ WcBnk9+IfFI+IcsN+M1odsvrUNTyoXUFzg8cb0rE/om0HLCofB9+8uJEnP7i R1i+e5+aTokQ3v9FA17Y4KKBjmuNdknuCzYzO3vSBvR/ZiP63lqJPw/dj1Fz D+KyN/bix0/uwtH3bkf/e7fh6AHb0O+eLTjinh3oe9M6nDZkJxHpZlw9M4XX NyRwoLFDTNMYIvCUrSILJFQyrbiOxUT7JLZhSzcGzW9HyaByhG9vwJFXABe8 7uGtAx5epelw2E7go2pgco0KH/DIqjxq6tuEKDNM4CRXbJ7HlgQtrZ0SG4s1 wSw3FkeM7i6VryKjYlWx5pwFBplcGrmMi8+IdH//Phc/+jdN/TRdbj/Yjrc2 5ImUO3hmeV7ydXCMxrcJQqgcH8rMb8H2NK75kJOcu2K6OHJ1Hl3dKkJGjGBB jFisgUc8rXGoSYnHmFaxonh9y8Eu/GOsi8s+UvlG3ix3JKj3S3SND61U13vb /LyEsbyZ4MNzFcCQjXk8sMLDbQs8XDebZfsOrpkM3DErj3eIlC+ujBMZ75Zx ZgGJyMnzWXHqpDeCXDcz6+fKgFup/VGrkrj8PeDqScDzG4Gx9BZZWp2SQOYv 0tR//1IH/6JzLaMykcXHlSkhJ2x7dJmL4WtcsbpgeJbqikski5HbHRCyxN/X Av9c7+GHS7L47tJanDa/Fme97eLc513sbFYpPUSYYjwgWlsxZEwSfW5oxYkL J2P19kMSMnTAC5X46+ileP79TXKvuzvpfFEVDFwS0NM9Zp0AC1u0t4SSzE1W LyF6T4iLRHEQOcg0oiZvmc4zJTLJ09TmqJmdEALLkT2anvNetwhEMwIh9BLm An4jKzQh9fvId0Sq5FwuT0sbaZE3CLQogBlhDTMC5Qp6yIkjveyN6Na49SzB h7STMlCCZ7t8gl/oXI2xBW3yorZEGlEkFYss+kjlkzzhc6wJRhu8yS0yBjhS vksMJpBfnvZzTlqhA+pCWHpTZK7VXHcxV2BJRUaQAssVskWqzIcKGkIoMBHR UIEFLD5UyInsRXBdRK3xkBcFa/joQGoEJCMiWklKqyyAEVMKRxae7fMil8kJ UrCWFk5OyWV4gJyMwVhGSJOnOcRYk2qLUrud5jB/Tl5wgTKcsLvoV+wqFGgw 0g9laxFQVJjFNqANLLTUQInlpcio5gPqDWNlQXuP6Gmnaiamo+28IdtLNFpQ +gblSsz/CwIJdOsFJhRCBZsjzgTP4N+ExBdLuof7vPqAyOpkTFkQNgjWKbG6 hX4WNpygJ0yjItAqFRXdzGpyDYkvKpAvGMygxPN+8FG9L2DoaIJWBfg3dVjJ G/pIL1lPxuBi9ub7xENifsWTLGsIndPjOD5Tb45JR/dS1lsSDeh4tZFe9hUo 1tSsv/Jwl0ciS/xm57fhJ+vKcfKQj3HWsEnYfLBWFPidHV1Yub2VZow2bIjn JbUnB1FmlLClht6475ThqMHl6HfzbgyfVSN+bax5PdTShSU72jB8QTMueeMQ fjpkD44csBV9B1Tg/9y4GZGrlqDvHRXof3cFvv1AOc5/pRLPfVaN2RubUVkX R1OnEtXzjKcCLidV6ITObnqr76aZfysiN2TwtRsd3Do5jydpFnphXRoTtqbw HBHX2+Z5osW+f7GLqVuj2HmgXYJIs2E72xCyzZoEH2ppl1hSnCabNcwsb2aX zGi3ylrFcmQWnrDKhGfq617P4bsDgV8/Dzw9L4lD9U0YQqSfRe0s/mdt+D/H E6Ge4uBgc0LJpAW9RLF4T1ps5C6fROSYZv8XaHaOJjKimmB1AIdWNAiEx5Dv CZNjbqOjswt3TXFx/rsuHqGZfDjNlBuqY1i7t12udeiaLEZuymPwKhUs6bbZ wPWzgKtmerjpC2DgPBcj1+Yxai314TPg1dUJdd3tOpQjWyAQ4uGYVrlMXsnO Mykh1Xz+D3alZTzPeUc5NAzdCozZ72BVbVzs4XhGfrciLed/aAWov902/Swj n1Z6jh5dmqNrzkl6DvZX5OtroHqv7AOu2UTIqSIrKOGzWurjJkJXa7P4FY3T 2UOBP09pwYSD9djd2qb8I9va0djWhKnrm3DkjXF8/8VVWHton2QSW7KiATeO 2I5rxi7A6Albbfp1QnhhhrFsVc7yglTSRlfQJnsz1P+FXjIlenbgSD48hTtC xNXcreasJM/hUiYTGs+eOTdx2KRuJnpVWYCBPqJb9vpHFPXYWxQECdR2l3+Q jx36FhzE0gm/O8F6EX0K00W9T2BDWFAFTTS5LkENvFUcQBF8DC2ibFcwIGmE EPSaTzBR7OboSHxUPN8dBBG0dIsEgmql8glZE1kEH632RtSOFPcjLYAjnyhR axklzHAYbaTk5KoLEbOty2iLBz9VJEcUBY9guHMU7wvgK7VlgUhEFSqAwvfI hyluRlQnSmqhQIuGLlRb8ARLLtxMiQIUCpgEbD1Y384wpdtJC54o1oXGFIS3 +gTEMBo3KH2NSFmyxmLTWH6EjMGH1tjomoEyVmzq2FtuWNtkGqMEjRd6Fmt7 hf7WHLNEq8AKLTLMTCTfSzUU6CMwIOr6oVu13sFXOzAt9UOK2ABnXY7nh2wN 69z0EuJdpv+eupas61nTg4BXrYpUKjKEI3iKVllIjvHttoKGOoGyw3999y+L JEziWdOENgHq3f+w0KjfsfoH3x0geAJob5AL/oep+/BiQ/N7Rk8oOKo33PA/ lzEOUdYCG3uBCEQ8E8p+7/UvN+I7T07Ab1+Zgh0Hq8UnkKesuuY2XDyxCZ83 uagieNfRprJqsZHblIpafH10KY4ctANfvX0vZpfWySs8LjZ4aRU9yFUPYWtX EuXVHXhlVSvuXhjD6a804JgHabq/azOOvLcCRw3cipJ7tuLYezfjh/8ux9nD 9+LByQcJurRhSxX1Ja5yNGyuasHXHtmMo+8/iKOv83DqXQ4+Xh2X6Wncxm4x 5b9peg5/epMI5wSI1p614ncTaR1TmsL6/e2Se4PN/MWvsbEZ9Q1N4tvX3NSg pxSd6bpdy6E5M3lXDIvKUzjxPg/HPwCZrjftb8XUbd24azGdh8j/uWOBt1cm cd+MPC56H3htZU4sARgG8HTPUGfdgSRunApc9KGHy2i6fnpZHi1dWZ3prEtZ V3DWcE7goIUzLD//cG0Cf37dwe009b+4Bfh8b0rEUPfOd0SPwUGxF+8lKDFH hbIcsNDDFVOVjqChMyntMQSqru/AjdNd3DsrL9cu0KlVWVPE4ioTmGQgIzjI Fh9sT8nnf2l5Fn8bB4m+MEJnZN9YExdY2BZrx76mKG5Yzr6TwCMrgQmbcyrP SLfyO2Wh0uNEMoat8dDUHhVYwhBiZ0cCT2x3cEkZjd2ujIIVnKOEYNqWjhwe pHOd/yrwk5EOjl9Qg18v3Y3H1u/FmupGjpGNFQdr8PURe3HM1a0o21oj95Hj Tb4+8RDuHF+GGz9YiHcnl8s1GvcSFbXJ92nsEVZhnH0dsOgyx7IBIam+XuAw oq6mWcfrZqrb1YfndJmWunlNtmSKD/eyQ7aEwXdJudnHs3pYZueInutlX8hg hUD9Xsv6aFyg8IA9X58eVQmnKLRS1Es/VIVUrxiD1vU1WZmI36rttog7ugPl XTxK6qIVmimx0gIzsRNMYAzBJu5cM+bQv4JOzFth+T5CtruprSQtCSfOcCMI PeSXtosElWhco6umnC5m790af/DJUiITYcRRLNtpR7WkW1G4Q2OTjJcwR7vd oh2QbVkErahmlCwmaQFLTvQ1WSeppSNZBWCUdIRWNGoxa1o7pTFNoELeSYWD giklg5IHIB3uKbFyUkZJpdBQ1ktblU7YoJhcSsxWaGFLQlE1aaWTlEX4O8KV w1pqpICYVlmJ7olPTRUivpGLtlxhkOMopZLCT74+qkRrjriOMVEJW+tWRmgi 7cn34bWv8VpfVvGI3oD9asTQxNFzszLvcvziSLDYWh0qVy21GIAwQYOdfqhI 57CXCFJN1kULwQ8JjcIqEpot2d6SQY9SnUSCoEdUJn4WloI8wH44MC7XPhi+ h2q4F7NMY6bCcp4ARuproZBIQ36swQIKBAYGCLnWvUKMNZUjgKpqwz9o9wrl guHjjQLMoZ0pfVcOK1QxCbBgbC6L4aMwY85qwhAFBDRU89xeQEufXsqO/F/W k3TloeN6BzcSnzqB575Yhe8+MQ5nj56GvXUNBCZaJWgAT/LPzmvEU2uSqKJx quHJrENlemAgM3D+dnz1hTIccU8lTh68D9uqGkThz1m1WXIvCaJ4oH6MfNYT MQJHc5zSCLywjXPYtmHU/Bpc8U6VKEy+9cAOHH3PdsI723HEwAr0H7gdRw8q x/EP7cIfX9iB52bV4KI39uGoRzejz+3N+Ob1Hu55M4lVu1vwWJmDj3YkMLOi Q3DNheM83PpJThQG/5wIXPIxuwx6uGWOgxdWZjGvIoqGplqa4+uFOtfWNdDt qK+vDT0vWSWaGutt1CQTM+C2d7IiAvnFM3k8NiuNsr0deHAJ20DkcM7bwL3T MmK0v2pPBhdO9HD1pDz2NyuXTxYnJBnndHHm0BRun6IUGVdNgdhY1NPfiXOO qYTkKlJmh47WtK2qQ67j4kmuKB3GbPdQV9uEtzemxDJyXmUSk7YlcOlHLs59 zRORBztF3E9Yg20qZu1wBTcxbqhvasd9szzc/KmLbfvb5PrZhoTFBIxnWbEl 4hea+yU+Q0cMT85K4Zw3XdxO2GnMLkgOs+0N3TqaVKc8DoNWZXAp9eXVLVl6 XDzBXDsbCNtl0kgQtmUFyL+XuBi6Mo9mwchRdEdjkjD+oXLCh2tdzDvUJeIf xjgsmuNHNJPJ4SHCgX8aCvxsioMTViZw/JJ2nDanEgPXVmHE1h04/pOVKLqs A0NeU4ouxqk7KxsxePh+DP6iDDeNX4S5C6skdghjWrHNoX6zuIuvs5fQUSEJ mSavST8ITpA7+O9O8X4IWD+6MtEki4z0geUKGssIemBpdaxItov8yR9xXi/5 /4OMioNHZGnqNjv68jcLvGOMcqhlWrOL3Zam6bBQnwL4YXrDdbJuVKTRsbA+ oTlLAIhpgFbUs5GI3+1CjKMkPxoN0ckDPZeFcDXNAF1+q8KI4wWdp1+970jV JmEgHmQ90HJ8isoNqNG/go/iPCFxo7SKeD4mQKlbV2ArQL4v5mBeUnwdSb5x Kek2l2lII+EzuvvSNXQb0BQAPGxtIt9BEMQLYSx1ZKC+kjMpYEjNCZakX4Uq w7IaMYWy1UftyOW7ex7GW8VqL7Xe4zDZ4lbzAsgE9Bjpk4aCDFq6BN+xrQ1L sOL57oha6xa8x3tpDQnC/LSY4oCRDi/GKEc0Z1bpxmXFtozVZ2rR8qyA3Csj oFCVGZWasdVJ+QY7snakXTtGpFfF1gNJ29hIaR+tIFN/2RxDppxYQOYtRqJ1 hZGKbbGr5V26FM4xvHqChQb3aYzUFxsSeWzqzmNzdw7bk3nsTOawL51HLUGU 5pwEbHEJShkVkZEbMVTyw8/a5HVOr8HvVXiTIgWXtOpIwJIPm/ycOBomGXsU MbVxrRdQXhmw0p+IXnqnmbebIEMBECGT1kSbhlgUpX48P5UILJAKWU2UZxFX oB3/WOOFGQBUAbDlhowdSqErosFOOehT/7MH5uGX91d7wUG9ifOUve5I3/WB XRCyKsU4T5j3Tl0lQp8Lx0wRf34RdnR0S2jKJftjuGhKKzbFPRyMp9HR2SL6 AAYLNS1t+OPHG9F/yCaU3Lob5w3fS5OPEhQw4Wfte17nr+BfNogk+IzFLQSM yh18UJlTEyT1IZdKI9qVxaq9cby2tBE3vVeNXz27E994eLsYo/a5Z6sIiPoP 3Igj7t0sxqolNzr4xnXAZUMzeGJ6NwZ+CYzflsKjX+Zx4QfAyMUJAjxN+HxD DANm5HDReBf/IMDEcRWuImBwy0zgkS9dfLYtypBIPCprGppRX1cjx3GZJK9g oNTUgtLt7fjxw64EqPozAZD522IYsi6Hmwhw/eNd4L/HAZ9tSkia8M6ubjw+ F7j4feCVZQx6MhJcSVKsEzhiIdB+AgV3TvdwMQGkiwkgDZrn4GA7vQCSKdkv sQ3aVcCm+6bm8dd3PNG9sCXF5uo2bK5qw+3zPdFPPUmggwUz7JU6ankenQRC l9c6kpHtoRUu7qR6o1Y6oqdhfdCIZVlcPRX4fGtUBF8SWrNFhSwlcEePMtUK /VnceO6fkZXru3eRcth9apuHtdVJEUx1tKvscp8QKL10EfDE2rwoXiZWOCIA eoEAGguRTDyQx5c7eIb6we1yrpc2ApJzCCjeT0D5n2tclNbFtcdsTEAap41P pbuwcFce541UVkCTD8Rx9eYcfrQqjROWtOGUxQdw/LxF6P9sKX5zXYzuXzOa 6dlkwDd3WTUeH7cNI9aU4dbRX2JV2SEJ3sUCPh7X9s42m9kuGOOB/18SLUWo pRgbFCnk43opIWZJFmGYhZkq62/cGBsudLH8JyY2DHrC92KhiP4mtIGcExVM UsTfER+AqJ0KtkiFiMYeZh+XFZs9psyNCl+M8WsxGtaQK4g3aL1nMf/a4kiw WOwMVFtqVU6iIUkk0IwpVieVQ8zR/nX4vdJrahiKbQ2BhKrxkDppJNhCqGdH gq2qtorskNKgq/uQkwHiTV2sBojFDa6p5jdHvyW2zWJ1mfpSGBc5MZqQeOkS XCXCJ8YKMUEIhOEZXKmFZ7M4f0V5SuMKBpbpRfYxtoqxMCUma5wSNx+V85hz USW1O+3GQ8dIMa0d9sv4738q51/CmWFpJqI2HSkWkVWXav+wZ8U+dAKyDDwX sKuePM7vzo3ZHUVa9JlTEsGegF4RAPN3sZpOhRgz4v2UkCUp1k/dLpta0yhr AV/CridYoynDn2A8qMR6AUmfUkQmWE+a0vZOqlyJ4wple0bQaNFYb8BMqRyL BT/qMo0nldhK1IsOvbPzomJUW6JZ7CvbxQWWUgbaaSsoWu2vqhqDJrGaPtaa L4WDhkzGAprxmejv+jJ0O1Zp8ozMS9aONdosXKQx29FYTzhtY9LBlpRattL6 tpSL8rSHCtreTUBrf8YxGE6lDuB8jF0Wmql4NOJc5LihiE3tbPMCGG9tayft 6hAkeU/juRIbrk58tGjJQDR/JlmAWEArAyd2sS+IJ+cHCTH+yBFb7lm/2yID mYwSrqdHVTDMKJvschBxgjzqcKV/K7K2vbqx3ryyehNDmRDFbLyro4jYMubg fC5q9jD7ImuRRGV8aj42WHaYI6N2XQ5+eJuncT4Hn0uXKUT4rYLqJlBdIFoV fMmd2s7rXxUaTdtYu55twUgVlS5adSkoReTgdodabLx/C4qtIVof3QX1pHIK noOta9ES3WGltUEnM8ds6ZB9vPeoAvsu0/1svlNO7F+YjUGqDvuG38+ARNRU txGaXHP9hWNmjuPVTC6K/a1rOB+h3+GAdNWcz4SX431svn6gZQ2ymW5ARxRQ Teo+uK72CfDsuUwPeEzjqVpt+8/04Vhbh8PkVbWtDoS2CxxasG1M3eyVhZQg eZuUi8kD39e8cl5OEbljdHTbh/Px3cfH4L4J00UNygh/fUMSoysyuHSpi/9a AHxQlcWelCeRtmI6yQmLubbWNOHkt1aj/yNbcRQxhYc+OiSiRlY3slqUo6Ll 6U3CPI7Pm8hksaXdE7vjJzYCW+oT0g6LFzmmofihmtcCjRQRB2ysSuDdZa24 +f0D+PmzO8Quve89G3HM/bU46RHgtIc8/PBuDycMgKD43z8H/P4FR5Lojl0c FRtrUftSv9buiWPovKykp2P7b87edzmh5etnEgJf6OCTLXHsq2lBQ321xF/h v6xiEByPpRaPT+rCcXcDP33Sxf0zMxi9NocBC4F/z0zjb++4Ykm2vyGuHdcT 2Hgwi8vpXOyWtb1JJSqQDIXs7RztFhVsbWsS985w8M8PqN404J65Hva0ZAUh c8wZ7vfE1V0iwmRmww73n+7uxt7qRmEAd83zcDWxjL++Q+xnooMVe9Ia7SpT 0wlUn1nC4DXAQOrrYwuJ8TXG8UVFCtfT+UatSMnrhcWOLF5sbm1AS1szsYZ2 7K5uxe1THbGJv28pxNVvODGAm5d7mLQ7KaYCLHbdWR/Hv5YAt1D5tvq03PuD 0ZQ43bO6esE+R+zgWYT7+DIPT69wxPRARLAdcby/P4e7iH1cvs7DrsZOxRQ4 ClyXVs8Tk+RQu7d94uEPdH8/WtMtIt8VNR24n57TH9Mb+fjF+/HNMaU49pIY bhmSxvxVcSxdF8Oare14fHg1hs/cjtEb1+CuN5dh67Y6sSTkpAOsLuZzsdiY GQ7/N7xc1rgZWoFAIMJbyHrK+u9F9UoXVhHRchlldJ41hudai6fUpo4Xt3hV Y9aQFq0KrM66nQKYGdVGZSusAaxC0k40wBEMENcsRLepkDKD5mg4cJjZGzis 2CJtUyHnBNtl3MNrTqf0MRqkKGGN1dVRndJdqU0FRT0ZkJyh0z8nQy3a5n0Z 4QRpBuq8o7+qrA9Mq3OpyjQNyOXrX9OAJRVhLtJDwTvtlmYg+gDdgz6y7d8G rt8hv3ShhzEX/7gS/8S6M9l8B1+d3DsZ9UiPS1T32PQw0rOvfE51o+k7ongQ 7yXcRS0ncu0E2egxpcZi+Q7RUvLt4DLapl9eqMHufKfwkyiv0dJOCK5T+Alj lVyHFKugsAmH2+EqXF1t0bdqo1gzlg5ZeJ1oiCiWO0Vt3KFpSVTs56WbmqoE aIvaxwfF5EhhR8I0/PtQJI1EzFMgW35lITlhXcWOJNGVvpbnRgx9RlwaMDQp KyLzgOhfE3BDiMPKWoConBA+ehQMJzELy9WFCgrvUQYLXEezPuoDfZewYL1Y y8OpRWUs4IndpZWRcyyIgjIkFYHxUqJATykaY3mIITciA48ECIxWzWvv0ohx 4PC3tLRZS6Z71EvpLesSao5V8mdiQ8VKOp33jGOrcX6RtYj2yVDOtdYZtki7 vwbedspBVyz+U7qaLMVB6pO3UTmUCU428NbU+6Rqka5hTDd5yw/0YZxvzZGO a85eEoj7oYXgKvZHRHdAi8x5CVm5ue9lbJrkzrkqdJaYLRSZaBm+5D0U0WWm Sc/MARHdroqglLMyeS6VqUPZ+LNzRlkiJ0L4zQkGypuT+dBXfEJHRG9HKoed af+XDRoOZJncOWjMumjPq1wv2oHDsDcmcsUmbpldlFOsL6HXrM5K6IOMLqtj Z4qkpTDTi5bEm6iawUCZYucg/lZ+xA1D7Abcc7eJkVC6vswaVp5xxhmmOBBQ RMVV5OJ+4mJp4S9VYUrGEZ505AUd1wEifGfcNnToUCk3sRg5iAMHYZw5c6Yh liZQlM5nabhiMFQTFSvQf6xwOFM7GPGJO8INm45wxCcOPmHCRnKZ9uoMGRMO 6oQ9hWmP21KRodSlBC7YkhEu0+GsdL0SuYpdu3YVDM6HH35oQkIHx02eOole RftMmyYwht1BB3HEKqbLpn9ffvllSDunqJvEnQ+c0BBGTlTKmUyGzj4FKytH wCSX5ds/ef0NEgl0yrobbWA++t1SMwXD5h4vydD2NCwMmRywjdFyvLnkHJWv ftaJGL3wV+L7W7bvPbw0+yRx7D3Usha+e88FEiaE63JIEd7POXL5s7DiSekW Rw6rbJhnDGokLIlKAvdDTFxxsaWcRqnD+ew51+2wWSdJvaHzfijJTxZue8ry roqDUyS5DCdv4wQ2moNJbl055+yTJV+94Wr8+/bSP0uCF97PskLDy/l4PhcP E5+Lk8xFE9WSMI7P/4lEX1fvHuGIiUa8u+TPElZl6NyTpL2maKXs43O8pBPT cFIZmHjvX5f8O5zrRdLZ0sLNv0ynXViuUgYz5Zy8/ibpOufMUZc2Crvr5qtT zTkRpfvHmsuxwg/7RBgG+nOYiJiSXz6bQ46YILPJmyfMwQlPv4/n560jNtmM hzcl8d8rgbMXA39bRYxivYtxB/MoJfK7ss2ReOEqx3u3GJu8v2k/vjZqDfo9 UIFj79yFD5bVCapnPxX2ixFHEVfF82ZWVBfPYVGji2HbHLxe7qChXbELTsmq DCiUq59h+W7oOV9SQCstHRk8MrUexwzaj28MjuMPIz38jpjmb0ZwelDg5MeB Ewa6EmX0B3cBJ94B/GJQHpcNy+PpKUksq0igprUblcR8J5amcSuxq4u0IfMV U11cP8PDwDkO3ilNYcuBdsVCG1pEl7N9TzPOeCKL793j4g90zmeW5HDvly4G f5HBa4uT+MtYYqWfO6JbkiiadF3sJfv0Ik/O8QgxS9ZVZVJZ2cfskn95nJrj GTwxT+Wz55xod1LdrXUpic+142AM/3wHol97ZqOHN3fmsGB3hxjEsE/S3+m8 574JPEXMuqaNE4jkxftYErTQmLUnPdwxg+7lXODB1R4GEQN8gM41aWNSdGwP zM6L4Qvr5IzxNv+uq2zDvz5yxSv7UXom3tgPzDnkYN6BPO5cqFLqss8V66kG r83iCnpm3t/RpeKKJbqRSmcxt8oRvytOA3uoLS3X++TyPJ5ZTgy0sU2YbmNL J0btcXDbZg83b6JnorVDGy+1siRDpZnrLzFhPtucxN9ep0fzeQ9LyqP4YkMn Bs/J4udvufj+08D3HnJw0v0ufniDh+9ezo/QcVd6NIkfcwHwjfObMHLedjy9 bAWefbcMBw/USbh1ttFi1R3fMrarT2dT8hdhx3Vj7dhTVvi1Xsp+Jt/FvckP zTs7EHXBiF21xWRY4xUXftQU65LkW8AE9UmGwRl1DHNGLus8incUaQore0W3 o8iPKosWEiIWx1s2JbSu2BKvnlUDlJEIS3/FtgyV4i/iL1khSEzkfJKhqaih oFIuZE+oR6c9l0/8OnUbmtgJf+70NV6604Yu5g1tL7JF+gQFbQXPWcyrxXov n0XXUHvlgIi6vkAraa9TX1mHOpUu08eHik0Z0TpTr59t6ki9l3vOHC6Z1xSQ jovmWolKtgmd5CWaa1eUkc7DpLEr1yZkkX6L5JASqc5FUpxvRbfTZhhkuyKT UsRbYbUj6bQzPSU2K6f3OrikD28I5yvWPaJC278izTlTboctC/N3RJFLc6yl pZ3+AcIcVQNFVoygJQNhn2OrIUxpaUFY8+6AItE+SGpfkRZLxPWi9YIlQqSZ ogtNz0URpVk9xiw2ztfGysWIlGvrLYZd+VhE6GffnkpF2WYNpC4vUlQ1KUq8 QF0ZWtbfsdmXLlcGYmFhrn2kYpDXGtWa8vLrFoMrY2CvTKiSWglXqFrT5vSa mWrDerYK0y59Ur9vwJtP23MZd4JkocuDhBAQV4Z0OEAsead2xygSo/diTR7T op5XhFJCCQSPS/p+k27GhhLoGR1KK/v5oCMCDqEFYZ0MSTRkUqqX2JgFvk2W kDvFWqWD3IwKVFCkfQrFBTUYOcnaWmaLguo/dVRI23bpCM0Be3Z5Q7tyOkjM astbjYdb3gJOs/5zedNzhCCmlawn1NQyzIpC6o5ilnmUpx1RFe5Mu9iVohli d9oh4L2XaOBeKmaSWZVxxHKeSSZbznfp6AAJB5pdWjVhkc1IkMp7KiBh1oUJ xGgTcZq0DvCzZuc0yTQpQ0VJGOSNrEpQwIx5Zf8CgsYk0oRaNmXMuAyD5F+f VX1L6JDZx58LL7zQMjdmccEMOkGKye1yXWZbF110kWxzzB6pC+hMP4q5WUVj wNmQ4wkaOmpJZR9R7pkQg4ZUMiFTSQ0V1+J0BYaq0roUK3DwlYJ8QLxw9znl AX/4Uk3XTTxCAxKojiWQTCj5HKYNvmQilGGNK0xuaO6mzg0dMvo6ExmR95mm TUxlM6J85cyJTdfpjMGEDKaH9GuzKVkEo2gRUzDmHdPWXa9R0RHCTyRXBFEl 1jOaf0FjdLuOGnkKUcWxqsmvExN8QLFGojRvETOaVnYLRi06He+vupSq/1AY YGXDHHs7M9k4Xpx9grCwoXNPlf2jF5whf7LNh6aGubHQd7Bh71hf50hnf3vJ X1RzRD6DRG3d/veoOZWp9OW5x2Hiykswdf2NGLXw18K+OBw2txFP1EkdboOv EDbt0O91FlNF8tToqLYXbH9KCCgTPVZe8qe5q1xnVz9FLnn6upvoUi+SS3h7 ybkyQh+suNSOGp97WeVoGSJpa9apcjxnQuW7wMzwBSG5J6O6Vd88B0Je+e7I Nc+S7KdybW8v/xNdr4TnwJqq91QWdjonk+cppbfKtXxAQ88xQPlYyYjqBtOF qozp/Kz9RMrKlRhNJ3VgqlHX1ol/vjUDxzw9Bb+cVIXzlubxlxXAlZxYYSvw /G5g6kEXH9YAyzuADVEHi1qBJS1AQ8pVJmzdCdwwYxu+NqIUJXfvwvfv24P1 uxqFWnCIBHY1EUyed4VGJrMZbO/wMOkAMGSDi0UH0uJLybTDmJtBJ6Tw9bzc cR1qnuPkU1s3vNeAIwbuw4lD0vgzUbrzx3i48B0Hf34D+CPxDM7v+NuXiVoO A372VA4/eZQo5SCIsvN4opYn3060bJiH0US9ppQm8erCLG7iuJbjPFz8MY3B dAfXEfW67QsOWpVB6R5FKV+bG8c3qY0fPQZc+0keg5Z4uOUzB5t2N+PWSVlc 8B77tyS1L2UHEt1xJFLdONCcw9X0BuEkFsv3Z8Xng8N8sOKYr1/5lyYQS2bw DPvNfuDgkqmQqNbrDibw8OdZnDc2jweXA6+U07I+j4ELifZOAc4jivnfYx1M W59GLNEt/hNMyZXCPmetdb+g+8mRvK/7zMUgDpy11MNt81xc+Qlfg4eN7BfS VCvKzCaieAu2deLKCdSPySoi96u7PSyozooZ4u6WDNFR4HZ6XliZOWNPt5g7 Dl6dQ1Nzq0rFRbyPFZrt3XmM5GQbdM5xm7Miy3t2ZUaoZG1DK1HJVolq/sxu B1dtBB4vT6C12eQObRHTxc7WFvHTZeUlm+Re87GL3xFvPO1e4Ey6r2cNdiWi 9iWvArdOZtNMiIL5uk8gVPiqDzxc/j7wjzHAd67sxC/v3YC/v7oQb0/fKCae nC1dQqGw/2usWzK357M6YroEcvYkoL/WU6L3wDTQ4Z0DMnUj0RfTdIunTIiL RMh4hAQUZQFzPst4LCOx2q+OnuzLqsBEcRgNECnFnEosQ/LZWrFlWEbT1kkA ppB1+WWF7RpG9nXLtHp0tURTrUCZ5WPFQb4pnDIvfDHkX1phk2302y5Ntlk9 X7vwuDbbOBX30QflPN5kItemKvFB7XxRbXKkNCQawlbdRJs9ScTWL5ZakWAt ggyHl+kzUBH1MJVrQTcxwgRRPKZ28WwrMz/2keTjFFmkYmmF1pjK0CFctUu2 zHezooBULyzfqkyzRV1GfNJp8Rmk28qxN+gSE3IuJoMJGgVb39JIpp/cR5eX djYfbJPqclCrYpFOuzhsCB+l+qaMvYfb5WL5q11xZGHNvKSI6xoGHfgNacpO q+a+8l5uk7fCwR3meUkL+VXU3FBYTaOFXId5jbqjKTc6aYkypaUVKqZVKdLF R3A9zhnGz7Yuk5oRUQsX8x4p40Wva2Wx1FDMVChszCqQDWMVykiEtMj3JjKa 5JBSIRcb9bFdlJaXAEBJQF1La0V2zdipsl6YdbNspxrRZcwefd8e2qPtTq25 qrFiDfDIHBtim5dOykTZCXhtsX9Vby70xcrLSoXKEZvVvLDngL9bMBSQjgdo DMNtLEClHFXe7cFwwv562tBMHVY4ZbWiEaV91G0iFWwzbCMJR7Svt4pglNLR AhzxUhKLVbavFc+reFjL4rQ5unqJKO26PHVtPQTy8mOoYTHW0qRW1u0INWQz 0k0p1jwSPwwzPaQKSu3oiLqRF+aGzBC9MLsGEQBn49IqooiH6Lc6xw7WeTTk 2MlaUcW4A+VCrVIdi7s0h+X1tHoyIqxRJQLgeL1ZIUvKdTqYv04sSSXDMdFI 4z8dTGZntiUIvCJgZWUbAjF1OS57sfAMQwgLSWHfAlLIpI/rnnnmmUL4rHZL SVgN92TSpLLKM0ZVvkYcoYJjuJrTBBLGCOXxjV35mKMK9I+GEvE5eN3QIkMK Z8yYYfigJmGyzJw5M+LzQRV33hxKHM8UM4czNJPWDdEyKk3exQyQRdH88dPG KiWp+Vi1Yr/D1IqmmdNPl7j2TExDEpOfxiaQTOcwTh28bj+A/s2Wmah9PsOa tWmQMCDmd8rsUR3L2QWY6TALmlJ2szpWm3wy6xk2+1RCtrdos1BHEhuICm7W icrEkkXguSg+XHWxYkFUn3VcxqQ2nqgRBiMxhWl/WgSSKnUABzjmfczc7Ln1 n2/WpoHSJ2ZPHPEYGs2+uvBMSevMak0OY2xMOPkwzrPUFNthchdLHUnAPPsk mJw3cps2P2BVj4eobVO/dP97Snc36yRZZ0nSobYyqcdqwpW7R+pxdbCtZqpi e3OPl2vwGecJWETMkseZx1sYGrXExJh/eWyYvfG+0n1vmstSKtg5Klk0s72m +DZ7L9mklcd6ne4f92dXwyI7XPNFTatIOt2foMmwJlShn0rZz2VbfNCInFU3 deCvb87Eca8swrmLU7iJyN/DFTRsRBhm1zmojBJoT1O9eAafN3jYFM0LYdvY mcPSNhcbuxyCMGmxAPzNu2vxlWfL0Pf23fivZ6tU3EFOQhhVeXlZj8b1WI/Z TK/IFc2e5CkeRgSBEyQwGWILTklSyGIrY9XqaQ1p6ENVRgv7dP3s6b04atAB nPwc8KcRwAcru3GwphlPL0zjmuku/kqE7k+ve2IFevZrLn5PBOEsIoxnETk8 nQjDT58AThoIfPd2Dz+4lbaJUJz/gof/pv2/e4GOeVXp6S6foqxd75jr4WUi OecOz+HbtxHJHKHiD94+x8XH69pQuqsZ54/ldEk57KtpE52qxP/j/LlMcml5 dUUOFxIRHPRZXix4eVwkDVBXXGIIchmTQU7Q8CKRrIsnQoIWXUHE5i9vepIc YTjdo8fWK33jfbNzRF7TuOBt4GW67ngsqS0y0/C0sBNaHGoe2yeIZF5GhPQm IoOPrIFEUr6VyO7Nn3FwpBwqDjWLX9inZVFcOk6de+gGSFKKBdUZIUtM5Gqj STxGx9+yFFh2oAu3EKm7ltZLq6NC1tiHjqNBKwvpJNbXpfDEWk/SLm2v78LQ NS6GLKN7X6/0lxW1LXicnodLN3gYsyumgk81Nom/oRBTIpeH6trx+bYu3PdF Vix4b/ncxY1EbO+ge3D5l9TXpXQvKrPY2ZiQvt613MVvZiZx7sxGPLQ6ijHb HDy6Ko/fPuWi6Mw8Sv5WiROunonpiyp1ZGxlScsCDEmykMmJYEIpFr1vm79V wIjVjxGAwrICHww955gZUecClHxA2i7Ky/QafVHQlegV8uJFFbTjNGaqQQVL gHIZS0neZBRNi3hjK2VWm6VxX+uFwUm9vrxa0pORmaaK7I6jNEcMKvFM4yW9 K/ikKUMTmQ8wZdO0TVheP3MFbcW9dk/BNH2EbJmyID0La5IWJHtpT7E7qenz N1krUuRGHcSN84F6OUq3n3FbCH818yKGXy0RWS22O1L5JvmlbdHpNIuA3x7E ixwnJoZSza/KNK2VMxY3s9aq+bDT8bcqo71EzlqE3XFTMaoTpTN35BrZZTXf xIynOcJl1HRnrlH2cq1AMW/Gc01mEZ4Z5rUwr7GaUzhms2z1VqaP4I4Qz8k1 y06zcAWhqaINbSTu0yQLdZ3pUpOmnHQw/wrZbAnLjiJTSE8a808it0Su9c1V NLVVKKo+Sqg3k3BTxl3hcjVC9C13VhisbZOXIkU/FcmOEydl9Wwn1QzLN40T PTEddNL2HF8FfYfpiyt30ENLa3qrnWk+1ymWQt5pFsU0O/m5iopq1lBQvQhr ZS7bJj0QWtsm3FJbIyur42LLgJX1cYevItb7jOGxGB/nxVo51+5rfYVyWl2v 0gMrG2HeTCvlbMg4QhqLZG2VHJGqxVK1h45Xon5HhVT5Jggx41YbCvveuzbE SFh5PtKOvr3GP5G9yope4n7YaCIqWlrExlZJGGmalaqFlQV/XniwEwxxIjSX o6iprDbBUPN6vxbJBXyAjcmCfoEZUQc9OPKcstK+kb/qWSqQq6W1Olm68tUs FagmohDPHaDNg7LEslWB7aoQ/9X2c/S23H50Z7m8ig+lx/GQbCdy1dYpyqBi Q0T7YnV3DusSjpBRYwa7gX43ErjanMyHWVMZYVUlXRHH8mK/xj1pVqDuzdBe YqG0ymrKg7SDuCh1pybLtoVsG8t8tJmjm7quTrGakDBcJn+6XvhdGcxJpxKj SGAKk2ZV+TP2senqDUM1CVIG3HO3ZUylPvtUWi1VHHR5FA7GxX2EmhnuWVpa agmjUihCKcSoU2ziacgim2fqHCMh5XxXLH4rhkAUKiT7KfdDBNzj6HPXXXfZ c5WVlYVMFhSuaxSVrLrTZqmmu0HVHe9iisxUWVmPKtzAXWMiarpLlxgyTDSY TN1mTe+LRx991BYvXrzYNs8fqziM2CQqPnkvTLUmqESZsPLHmLBq1aXthLEN 1gRUdeIfBUlizdMaNNtkz6DSqvHCG1lrxeannq736qJfEsc7VbLVDZ1zgmS2 Mccx1zSaO1P/8033KD5JXCdoachmo8yduP7U9Tf7Ln70YS7GHNBo1lT/VEwR 5lzcr1ELz7D95mdNuJZur7TqLanLfNWYpq7a/bIPBM1FymrenndS2Y1yXcxh m+Pb1XB9BeuoOVYwalWrvbSDbSs1jTsJM7feJ82wgvNloYViOhqyoVXoHi/U tI+Hgz0ezWgwxeT2+dJo2EPKfFUFsGGV7zAZ6uMwc8sDytORvuaVP6GsXunc y3aNVG25+ktvlO5/R6gxD+OhtjW23/xhBa6xHjbhWqwYQq0rfWQ/9usU50bO zPvHe0fgxGFfYPDuFD6odfBlbR61SX4ZcZqSwTp8XQZfNjmY3wIciKWFNnWm MihtB5a3Qd5s+zqT+Mk7a9HvoY3of+cO3DHuAFqa6yTRDpvNsrOaZMTlbMBE M3d25vFptcrWO2VPVuK4Kb1lWvRoOZWaQtmLOK44WurEnnJ5TFHX7U3gmw9X 4hsPtOA3w4CzX/GwcV8rqhtaMGSVg5tnAeeNd3DDpDxW7ezChJUpPPRpGldM cHAeUTY2Af39aFpe8/C7kcDpRDt/8hTR0gc9HH8X8P07Ic6Tp9CT8LNHicIO c8Wx8G/jPRz3gIcT7ye6NFllyx0yN4GGunoMW5QWGjpoZgYtLSoNgNhLsolr p4pp2xSN4xo6junlzPKU6L04VA2HAGGdnsra261j9abw6so8Lv3IwZ/pT3DR BA9DN3l4bhOH3vfw2vIExq/qwnnvurhusouaZo4NTIAimZHQ+nknbawR9Evk UmxrolfTNBcXfQSMXOXilY05DNkM3L/SwW00Zo8sAt5aEyf6Ddw41ZH4vm9W Olh+KCbUUkKicFKmWDve2krHLHFx5ZcOriIKOLa8G22cJbiVKDjdew5byLGb jQPu+PIMHl4NvLg6j6eX5TB0eQ4H65qE8i45FMVDFcA/1zmYtofjBdaLGTHT z73VzZiyIU7j6uDqaWrMmYqP3ePhze0uRu3P4bhVGVy8QsdKpnGctTeNJ9lk eXk1vv7RZpw9owy7mqNYS9T0wrc93PwSUdHrsgifFcO3/nsnlqxrERpq7FvZ XJv1qH7sftFHfouHUakbg/TSgYlkLvZQRSpvrW9VZazHxC1JoowVWRwm/mXK RrOPEorn/UUiZdBvOmeM+UoUZsx3yJLKtSuhHmuHDL+0KFN5poW1lSIX9tAn JfKKdwkbUIWKqCneFdaQPoDaOU6I0kS1i+5K7Bb76TZFYaTOEOwRb/osmLb6 8qpScx2haUGHPZh/eyiyuEyfjfVTRaLwKuinIZV9ubli27EeNEfoiFxOWF9w D1VkiSImVEsa6idEsESxJ0VpLIshOtiX+aamkswJuXJx4BDhiT7x4noROaTI FukqEc04A0fRyPB38WGtqHMqqtZjH7fbIMWNwV1Msrh2V56ZaAORnnrmqkJV RWfXJCRVE1Uhr2G1RjVL+BCqFc81SAN66ccFTEsbhZY2mf1CVRvljHotWM8/ PuRXiSgon7B95Ob0EmxN0dYAm1VbRXqcgjSXO0NUWtpr1vTY3EAm3kyM+yj+ HBNaz8rhKBFZWkJh+SZiSUS7jdg5LbTVwsy8Od9URGt0WHOWz9mWbWbqKb96 XZUqwqrKaOnItQgPpQeDWS2rozuzLbJoO2Y+qWils0pTHZPKMX6247mWItFP F4m+WeuseTF6Z7enujgS/PsFd2ilcyqntNJKmRwJMiylFjYqfT7O3yHSIyPZ siYAIWNXoGVSIp3qq/lo2o+WpP2Ti+2LjZe8sqIPKbOEPlpQ5b+F1Dna5P/B GrhG+fPUC9Xj32Sujp+RankKDwmNi2X3UdVYbg+dqjNbSQO7R371OssXspWi j95tymmo6Tssu/lh2E/LAWrikNyRGlZ617HAhU/sNsjfKWL/t2ERkBxhX1jK czehI2Z36YiQ8QJU9guZjkN03lVEJdcQfWTdZmlX3pi/hplT0m7NKAscKytY 4bkzyR4Qu1J5TS4dNn9V1PKrEgeRVZ0H8gQ6iU5WZ12xiK3PeqgjdtiQUS6Y bTl2w/TEDdPEkU5qg9hMMEV3RNwsI8JBtRUsyxet3pOVODb2Yag/7rp7gGVG 60rX29xahrvxbzAf+cQPfWpk9Jq8T4xOFTVilZ5Y0qk0Ipgx06j7jijQxxk9 prXH1NtEC4OWnIbUGu85at50IKD19DtwhFUILlmyxBIua0yrWZ89SaGhkqWi XynQg/LHKDm5RaOe5H1shBp0xFSZAyFsl5m06QGrbgtOcVRBM/wJZgTnD2NM U0YX1ZsW1vBLpQz9gVQ1H59c5hSraSkT5sJMiRV32gRSkpeyXyCnJ2OjV8nK ro1jhSXNVgpRVhpyOSvVjF8jp1Y3/pF8FRNWXyz7mCja8xsFKpWzUrIhutP6 QPKHTVFZQcgmrPFkvTU9ZQIsCVZnnYwvttwLYhqi5HxBKyWZfAYfHKPkNFct Ppb73pf+M/vbUj3NDszB1lJhaDwW87YP0eRUmVUaQjtywa9s+xNWX4aXvjgR 7yz9C73Kui0J3lk/X9rg+uw7ah4l7ieX8fV+vmUQj6UimIqjMz8ePvdUjJ7/ C0sQv9j8gBgEc3OH2lfZy7D0Hczfa0Rfy03z7VIXqW7v8p0jhKPzbWmK7w4c Bbuun7bQqeqZ4dWfS/pvzvk6etwnKP7LQ7hx4lqhjqyFZIrHWjKJcshejPSi ak/mMLXBw+p2R3nEEVVkOhjN5rG6g8aEXjfvH0zgu29sQvi+LfjqPfvw6txq ZbLY1CyxZ5hKSt5NplrxLqxr8/D2TleoZkVdVDzlJGUMt59KCCWVfKs58fJk /Y/jRFhBG/o93ljciiMHVeLb/47jjy+6uPC1nFhLrK7qwMAlDq6bBPydnpWb puTFXlJOLnk8urG7IYdZ2zy8stjFnZOJK44H/kocjmOGs0r0rFEeznge+PEQ DycN5qBAwPfugLhiHjcA+OYtxEmf93DtF8Ddn9F5a+vQWNOA6z7KS4jN6Rui Khd9azOa29skjCVzn/ZOpUr7eH1aOCa7bDa2daKzg/rX1ikhU036t0Q3kwrq cehO3Dk1L5yY7UU5L/yAeQ4+LuvG1r0d+Pu4HC6k61yxUwXQkZwoSZ3XLOuo IFGu/uNZ6RPwNr2UL/0EuGYq8BrxyNd3uJhSSbxsHY3Z5w4ueM/FtdOBlys8 UXGWVscliaqyDaXr61Bh8T/fk8FdxEsvI953/5qcsk9tbJHUeqzmbqPr7Yy2 inqUAz7taYzj+VIX/17uShChYStzqKmtR119I2ZUdeM+ur6/lzrYeqiJeHsj Kg90YPyahIRn5RjxA4nTvkL8csJBD7Pr6beSePF6D78t8/CdRTFMq6Qx7mhG PXH6cdtcvFcOeaA+2tWG46dX4oTJy/Ds2hpcOSmGRyZmaLw6cN+LCRxzrotz 702iuqFN36sOUVGz3SsHHGJZC/8hTFx0CZrmk82C3BJ9TBgH/hMFfHY4e7mJ xsxRmPsGs4+5CR3Www9VbXKISKiPYmsFJ/5nfoCUZD6qPddoTRzXQv2sW1xv v6IUcdsV3QtgUKXtUYaSATDLEJ2VgQkGwt0EhPtY80pTy1pPqmNzrQz7WkUF V6KOo/P1082Ilao6UpRlXNJHTl4SaFipysQcU7RfjIzN8WGtPOO9YuWpTl/M K31Ft+VTS6WCE2pJB0UCujreq7iG0hQWHkGshAfD9cu0Hk5aUdtG48fHh7Va T2ozP2KuxPxJESBTHCCEIavs02yQkavmVIfTqbDfms/VdNtS1qVOKCyTa9SH NeFUPamXhUrChfukzOyPFFYosWtGmROoy+tyHkHbtjikqhI1ztXbqrwQPmfF Tr5OVH21iuhm69CeqWU+RkyhQ07B5Wp/LbNb4blCCGrNLiYJuVrW1dbpHbRG bdUIs6iNyEkUIaBN2Srhb+bNdcVcFlabZo11i6qiHES1pIshOYUpDvWsygut F+nTBYpVP0JFqkq2XigvXUuxvpZopk6uhck7X0C9XJC+dh4T/av32Wo8QjxU 1H4bE/fWLA9YM+1oooP0EkZTpoHGvznbyLwYLZkGWVqzzOtbMnW0jw7kNVmo JaLBnPSjLcPN0TqvyS8tEd4I8xp9ZeqLqV9yTxqLmcQXW814QDygpQhhTcV6 6JyZmHWLxCHwn1BPsYiAinuIT7QkRisWC0UxhngyzfNa9F9JhGFqh9WD63Kx 32iTIyI9/nz8f1D/ihKlqqTbyTpHtRxk/aRSS/LjtZcZrLBYfkQq+zJdpec3 u4sObsvuojHdoX6zu+l+7UVHropuY/YgXVZHrhqd+RrziKu7WyIPGot/WN4j b1QnyjbTJkqtTp/EC88GbOHrp0rSCZ1DEZhkzmG15nIsTJqvJB9QqMjO/dr6 MSzCZ19Uqn6VyZ/hwBHiwA5WJ1zmwXRqYsLU23XEg41qdWPSM/a+YWxN825x BSUuvJ0OY3fQXRlP2fnuEaWruINmiATnmDVVsdL1UMYlblSdJiZMdTnCbF0e YgTMStc6AqCieKV1NgZmVtypwhEx40q6BbpX4vlQUf4VLQ5EH2LrFfr+qtXL MormhRWvA+652+rrWOFqsk8aSsy/Jusk/74/cYKx9p0wYYJlzOx/aZphpi0D zeNfjAkfTLTEm41jiZDSALBatUQUo9wDJrI7d+8yCld1hm9Lq0bXauA9H2LO tH7jBnt7jQ2u1vna+3v99ddbasn6Sman3K7Vhiq1sFYD97Tw/Y+6WKU5hYgb TPO+7jYSJNMhcx7DgrmdIMH2iXQkqDu1amsm18EIRxwViS/Bdz6NBOUN2lQ7 EgwupLUtxUJ12XbUxKxZVD5Eq76/Lra6zKmY0o1deo7oNVlByFdSWb9A0Tyi zZtrpllkvbDicaGRHMtmfsUQVBz6VJSPiyqeDjP5I6YubFp/xIFz1imiW9xa PQV+lFdg+e7h2vT4ZGKbhJL9WK/KLJhYMztdqkvotrrOt5aei6nEuqesu0kY 9iel/x9d7wEnWVXm/de/qnsYwOy6rvrumnXdfVdJ6uvqKmZZFDGuioKRIQkq YZGgSI4KSJqBmQEmMoHJOYeenumccw7V1V1dOcff//k9555bNazbn8+pc+5J N1b1/Z4n/UROaXX9FfLlqh8yhpf0LKuyVDm9gz2PuvukqrLKU2Xu5UcuNeT6 Jm1+4cg3DfxLiqZGtY6OZqkFze40f6UUezhwWMWfhG8e+ubG68yNe4PugdVU jiZPu783qlRdVMG0VTymfyL+1Q8tNlaxPtQNPOvQrPX7+2YXZVpG16rMm8a1 XHLgMgdR3+gsm3tbP7jM9QTssrGcn4n1cZ773OflF4aRQT9z7QP44dN7ERJM TdFaM2eknPr2D6jUk32PBgrYNFsyCsFCGalM2rXajMsPRZv8Nt3XG8HrHmqE 75etePuiHhztCqi3FkbbIi1RGmcJsW8+g61CNX8SInuuIwN/YFr7hkKO8mU8 YZRhkxmNBJpJJzWIhoncJD+kgiqe83H5shGcebUxBv3UfcBvVmbhn5rGE6ey +PnmAu7ZmVFh6Y8Fjv3BiO6e4EjYoZ8f+jmyl2k2VkTdsByOgOEtmwR65Zt7 0TNGSPsfTwL//kgZF9wL/NvvgffcAPzfW41R53deLuPSF2iEGcGuxrB6lf3+ 8pLGW9fVgFDIBBULzqtxKC/DXNCPqek5XEFfRi/Ig1dH+AnO8t+4xmIwwku+ AIbDHvmaNcfw+ScL+OlGqM70r7YAd+1Mq9Dy8hVlfOXpMv68P2sEnQKfFOgS jrm6kM05MeDKJUfWX7SPGALxIq7YUMa3BJDvapKfqb6Cgu+p0RB+tw+4Vr6S DwmoPj9QQvNY2MtAEp4vIjA7ZdS7hZObhVtv3FvEor1lfGcbcMfRtJE7yzSB OSf2lnCqMnvYhLNgeV9/Ar87UsTVe2TMwYI6t6VT3aUDafyyq4jLGjLoEzam bPlna/Mqc71O+j4orCt3HeunSzg6ncNcOIaW6RRuPQ5ccBD4zN45zM2G9Skb mArj4VNlrOzKIhILa+i7Y5NxnLt5GK9ftgfnLw3i20uKuhjD/kv2zOCjN0xi 7a4xPX7eLvUzRNVsjaGeVlVgPjb6LdFvqeFdXk7WccsRvRrNXqejNtQ6nc0E uYqDDE+NDctdMW0yYS81RiVSNtXa8EhVUac0slRNxXlotbEZX/yooqdMbJQG XXs06+3UdT9T6+oX2hTLzRn7wRrjwyZO6WYkP+dzRFYUV1lJkddIiiKqKVkl y2JSUZ6jpWr715qGKHVvbckhZqdLdTVHWpCWuRYYAaEOtiWfKzmsdURX3Hus KqlVJiVZ8iJf4yAydV85Kd/tLdxW1VXUZX3Vx2A0X6u6Ot0rKrQ6tSuuNFs1 laLVufVUyy/ZWdp4I14jtbRTsVUbtAt5TxqIXlYs6nTUPg6ZkfWc5AAhMY9C pQnKlFSuVOt8VvePFaS9SAqTrZoq2qzg32vrDAxOqC8d3XZTND+uSEHajOcn qiaXklYZMZdzRBNq5DlhhnDwaRNwWydRFuan1GXHEClOEDpUe3ecECLzzUs9 YWQ+PyY/sbkx+TIEc6PclDTOGs2rttlttMYOGFX1XmcO2fKyRKleYdytt22K PartO27rPWeyZSGLpMtR79/oonU+tuoEtW4/X9X+pe41neUgLGWd3kFKPi0u QDg7KkA2psnpYHCMywg1evZz0iWQHWESbuae/dmRWvkY003ZPVtnM5qI1vLp c0fKNTPzeJ2iXu+cAb8IxZZRvY3ctKsUXncpYdx9Ns7gpz4MXrekixDj9lFB ojTlq6r+W4/1pKOIy4fIXesxclNdm3Gedmfph0dxhjOHeVotDUfzo5S+Gjks 1RPyA/LtFxQWJI7k+7g60CmXONfOC9npYbGbJd3iskEPVzlUrtsv131QbtKo eShrzdzmgbarPR7z+3im+bnkDyDNi0sxSQnEiklJacRLGSTUqUCimOOSHVV5 af9ZCRSXcqxG5YNcnHFIsFRxGlQq1zi2oRb78hXU8xg3QZVYIoLYRv1W8dpz uq9aJXCNj1dRndX3zpKx08TC14CRa0xrobsGh4RsD8sL5JFYgfrMXhyL5+Wp VRm02tjmNVH43JwsGAvbGvnMuy6YjBxacZxyaEcGrckRQAt656h7NpxzZNB5 LiFM6CfpezrPRB7z50pezOQZbMTid6hQVKG0jfBinP8SuGuNZyaj9MxLzWvu qeg9Cwzw0lYLoUnbVvW5WmO22hZX2NnSNsHU0na1vSnx2S5+yMEse9HVC5Zr w8+zXZ61fp54j3gk1baj9gYbFjzL9bOkzntPmXbeOnJnlU2tdctEAS5RljJi GVbr7N9COJOrq73QlTjbv2oPS1aZ2UrGrUukCjuBJ/la774Vzq49TQR+uj3s maftdsOGDa7Dpir3Sf+DqWHJ3EQlRCVsCZyXaKPgShAl7pEc+ZfLRVScrAq5 wmZkNpZX07a1XIFPin0P9T5kvlpmZ8TtV5uuI5J7DEefbRwRbfmwMjK9/Vp1 4y7/TjwgPE0p76Hex1Dx5FuD7umdqqNLMWz9wHPWsbNh2/cpfPIoeDJ0gKuE v+V93OMHBINVPrzlPe5iAV0S8Y9D7t5mDEzX0JeuFbXBYDMVt+XEvBqd5lM6 O21lLYDz5KzwmlPxoJ/e/x8Vr0nOIgDLpGzzZ7yyLaFdsSO25lhUeQjiAoK9 3n3Te3R+7uuebebwuT5R8ShkLSkqgbmno23Y1XanepPSY6Fy8/b36PFwDipY u79r9slQUXzRyJk957hMbQNtX3HbX3B73Qj8QiY5IQbyc0WiVtRY4eTqVE6g cbyMvSGodmoqQePPrGMAa/qTrZdOx/APD3ah5vI2fPyWDqUqhmjx+wMmmrUG 8QtgKjCLhrkcnh80oWKODISFqCa1r+FvA6E0cGS4GUpf5Uus4Zg8X1VlU/r2 Pe/ufpx19TD++Y/AJ+4rYsnhiCrI3nwI+MWmAl46GcPXFgNXrCphNmTsJWnj SVS3UVSqNSDsZSN1RlJAm2D/+lbgjztK+OkqE7j7wifL6ryJ/nxvPFZWKKQT pu+uFvB7qYwvP1vCz1bK/4CRqAmWTRvNmBEEq4Kv8DIVvQMBv3zV4rh4GZWu S+gbn1NhOS8RL8OcA6YDEyF88/kCviX8fm+LETj/dEkBv16dwXXrs7joeeDX GwpGcTxKxbBoPOb5nAkenUqoLXMxXzB+kktWQ8NodqCQx6udxncvbZtf6Ukp KNNf73M9BaybLGOtHzgwllaI5q3jraStK+1gD3WHcOVOKOy+3JbEd3cU8W2Z a3guqmsH47PzmJZbOSP3amY+irlIHAHhfYKw+uVtKuIPp4z/3z39cYz4Z/HE UEGAGvjapjJ+uTaHy+Q63yx8/1h7GUuHSnh1Sn7m/Vn4QwlXuXp0LozbGgr4 ys4snusg3slD5HknTo3Fcd+Jsio303aZjsB4XcblWL59YBwfXprB+Q+l8XJn syojBEKz+OHiXlxzV2flMYyYx1CFzlyjyFMbI+eCteR0DkQ4zhWy2uQ0e7Xa V93TEHSNlT4ja+XOFRm0g9NeG5jOiXdHB5w+E70hw+jFTkAKNxR0VOUmcfVU WmNiGQoze03UEBMeRBnaSIf1rXLe+Kbxuf5dYyp6JkfLW2t2FqFswHoCqlF1 S4VfeU8MaJIyWYF8ScFUiCqxhVkFC2r0SlnqaeUZ0DJz2fZpszHz5Cyh7AyT z5nJ9jRb8snJZ/Sl3E85F3N9a/WrhGamMgdlY1nK6Ka1s6ORKzPUGOVdwv4C 17rUTqdDqaBq9mIPVmY1eq1eLdZoP6v0K+N0IpU0udXOUdm6qaq6hVpnVInd KSqqxRQQSoFv5pNWqmgkjh4rnrQSSEqmvFV1FFsKUvNbr4JHInXVeCuoFLg5 nYR9jjSUfYnkjkTU50yj1QaKjERWhbuCSmc7iGQaDOnWOLxLbrN1FK1ZdGQd txxYYrHGVloqrGo7nbW8f3NyftZSeqeEwpwplB9RnFYMzQ3r3HbHo0bY59MB MaYCD8MIAO0k4ewwUYp7G/HpdIKL2SGBxxGTckM+FpS1vSz5BDGH5VBms4Ns dZNse7SrqjeP2jo7i0p9B31aVHBGMD/IJE+oIBifxmEKf4fkADg0mB+2SUdS 2Dxsh3NOp1GGmzruy9Z5ta5Gt93j4JnobM4hsG92SA+BdQPyzLIvLyMT23h1 7MHMF0Yolh7Wb/uQPXp3Rp9zMHao5jJsVoYHstJnWk9tKj2E6cywzU01GX4Y Mxnt6TEXuEZPUko21wtAgi+MVI49O+RcODkkbascmFxUfSb0Kz5iT0tF68P8 ng8xrEV+SPnXJqmVL//puTwd/EUY1PVEUx0qUH06VOjjqkKv/kb2UQJt9KXz XZTRd/CJzLaRwplz3SPbxoNtpiy/ibe6Qd6hZ3MNUmqW+hZNwUwrBxtiz/Zg PtOtpM7z8+rzeZb5hlWWKh2L7HknuhE9QiflVz+jJC43NVEsaHyYhCQnnDvk TYcmsyx7jTenJN/1Gem9RhvYIaGunbQaWqtegWlnXYbx+yQvU45TYE91HHiG enfjwGdKJV0RLruen5zo7zkjFy454QQ1OCk/awxWGv4zKGmCzyj3lwxGlehW uIyqgJ8uRTnBOGsrr9RV6pdaUE9GqlremFAPyipCp0dlWiwfjeWU9L0EfVKX 9bScouidnz40ZvIqW2/TOqF8IblOlbGbCK0UrvdJuwH9ksL+kJo0U8Zeo6RP +bpJRR+mcnTORaVzitiF8lX5fKbAIUL7XBaU+mihZJTQzZ05XRHdhPMRzDfO mAEX/YWtDUK+FcdOnXJuj0D+eRcoYp5/7gUu4FPC+fzyZTjnvI8p6b6wbKm7 rFJ/ssFg+/nn4aorFznrMW/Rsbv27dX6c8471/XSZdduOMf55xp0p5JhyVl4 sDi/Z+9+41K6pIrx1sNWxYNWg1nVkam4WmAl1VxocJTgK1JxmZo2hOzHJDRN 6fM5hPxqrXeuSlRJ1Y16gCFUNn3s3HP0bJTrWf2m0xwpU0hXrQJQHRHIKptz mioVeGvNzWe3Wtm8pKsyZbWZrV6qsgFv6fPZ7PZjrvaBWVipWtBwH30nGsRb 9Tbu7LhTMZwWzfRoRctlRXahWIqfeWsYTMaY5xpPy8aH8HvVp7AzpXNt/941 sw2EuzA0X6eeqR5w6PhI76NG2V36UFNaFbw3f8BYOpetgLmsnqI0Ko1Q8XKF 95KNvbqj/U7dtTq9csLCUlpuHUfNxDvcbzOvIiXsBqQ/oHW8epRps+9fdn7c urMu89AJytaV8Vy0S0GXhrJto2vNKUg9LZ0rhvyVy0qopwICFQ94jGZR4L1U WjCH/iHjRdnxszVqfYE5SzJN46v1LnCYDSOUzSXw6O5zdddq1+2ckvuDVbIr AMXKDZYPhpTlpeGhLD16qV4aelvmH22/eQr1Q8/raWULUXUn7bnAsJ8zrd6I IhyH8yZ67NETrbj0iS3yQ5dXbXIKEhlfRzVQHLdkNDKm+L05VMSGaaA5knMM cWMq9jaKznmdj5rr4+kc3nd/F874SReufnFS47/Qp/k0o6/6BfunZhT/u/1R 7JmhqL2MR1vzGB0zUVonpmTMtHH6Swa1Tndng3M+Qpo8MFwtoB53Xfc83nFj J978mymcc28Zn74bON49i31Sf+WeEu7alcHmpgS+tAT4hWAzdYq5wmD00I2O tirZW4dInndXaf4XXYOMaK6MkWARt2wpyVwlXQagXJf+im8+UcBtgrW/PWZ8 I/9oHXD5ujJ+t7mAJcdyONRfxGw4qXbekVBYUZkrJROTM/jVKyZk0MP7UnJZ qJ03PT0tvzh29eS2zXkV8//mMMXdJfxoeR5Do1O45sUs/t8DwBf+Il+UwSRS ybj6QE7FokjEhAsTiYTnfXp38umMqqHnqiK3leQfN+8UY9g+2gbcwVPZkkf3 RADrhvPYPw9sChSxZgLYJneocSYO/5zxdkV3zBtaEhqH9oYDJTSNmlWO3xws 4gcHgUd6yvhzTxEPdRXxSHeeWgFebnjOwWO9pvrPnWwq4t4OcxXvqAceFOD/ 1X7g66vL+P4q4PYjwDO9wMrxMg5N5zEwn8dcIqt3LRHP6JlyEeTlkTR+Xs9g REWMyoM1M+tXfY2dA0k80ADsH0po8B9dmJErZKTtcTx0IoFPPVHAu5/eh2/v X4UX2lpw++YpfOXKTrT1TyAYmqssCMToNTrp5TeEDlfkoeGVYzz5bI7VOUag 4Fcnm09pzB9TZvyfpEZrJOtzvUC+Igb132BGOwEbTcppXi1tzyNrAz2aIJDl tFf1EWtZtCsFahpjAnik6EbGhhdRxby4OoVlSpSjNuJojRNw1PUvm583rmgj bAsX5hbQJtProL3FeppqSptFe6+7GmCagyoyppIr33L9tt6pW6h1QUcdVmrc sjEinfapMu0Zqg1L7djqnF2cifPT0of1c5lJXYRQ7dmC3/Z3+tS4Y9km5Rqt rj19aqNkaxRvVcOW42ReNjhjHUVfo4ebnz5De/mq92q2ao0GNTV4zQKJbKqm sDawrmB2GMxN8JpqnZSrNIpDqsnNOjt2ISWXPmfm3IQRZMqERQ6rpHmlZKfD ZI0r+TSyZEeObMS7AnCOUFYxVKXJ2TE95FFX6uszYl7TEMyOaGNQJcxG6juX t1PbugqbOcxoq1lFBnM4zGDumaehokU0Q3UDSmYG7gltZzjtg1pfTWfS1+lT 49DssFKgJFYPOrTKoc6uDMwtcGexsxpu7OeTSrNYByGdkQMKyHwOFOEHlLf7 Ecj0IZDr93j1cwFm8wOCsIOaCL5+GTydHaDsblBOQopmiBmm3WYyOsSZojKt 5A6W12idlDBXGGSZR9DHRQGa6OouOVeuV+foreGml3P6dMoaZ8oBzGT7mMjc fXI0fhnFA+RoNuksVSfU6w7lEfdwf15u6NoHD4gH2WtSrpsQn+mRf8tStnVm Wh0qu0hLvZQDmvpOy2fTA5L6dE7n5HWOQEpSulvF+j1mD6YtTRvlQLqTx8J5 ZG5N2S49CtP/9fLZpe1z2W5XE3zW2a8/w+OT/lLP8nS6h8drTp3q+z21OtdC PXLnAriz6cw5pm5e607P63Tn7DKn3Tpts+Zz0jaX69B8Ntsu07XxBrbr7I2y 2SRbzTKFKTOfyZyU1OBlQb4s/nSdHOYxkzvl6fRRzWcyJ7SXT466UUDCTNfq nrI5/T7nUR9TtQsqQVCqbzSYFuoiggmNnDQLCKUUkvIvKFHMcfVAFwg0onJZ 1wWctQHNzaICPEYT3Kcm0qaeb+BsOdOtc+rdPCZE6yxEeHzuIoT156Vy7TKs bLtWYxP53LUHd8tEKjrbLkZYJnajE1UvSmTlaHMakoTOwWrUrpKBiJzkZQUV 44plIzwxmgWONvY3nJWDM3AyUXRXD5qF8luE8pmbVQJp8UqXvDyD9fEcS2iI 580Aoy2g5upUTKV6fofjlLs7XWLUJo8J2VSDXtXRN2kgZ2zXvVQVMLr6ta7V +rhrvc4Fg+l8yVEXCOS5PSMv847WPn8sizJHuMg1hVip5Drw1rUEmGt22qLB 6wUQ6s3l49qJoPE553xUobS9u8fo7Ut6/MknyNlSfz6WLKMuek4luzRtt9xM GT77WuWO8YkpA+dnCUK/pC+mOafp7nvvUXz+7IWfM6q+JVRCDP8dbrrpJlf5 gDfViUDsEvfSZS+60aPodsxaD3DZwcXssvXgC6MsYgj8Rz++zHUE/tolgyqd AFWqJDBUK+irroCxMiC4273yCKqjKzGYk13FIOw4kX3d6ek0zeo3CGRZzYNq T+cVS5GyWQL7yGla+b29vfbc/odtuz13S5wmLnNRydHEMvogRgJ1GBbGt3yf LcR1ty3j65TtqeHNiTY0/lr73Lvtw87h2GUCZ/XOorD5+qjqwPs9b9Tx5jjM xaWmwj1OsGBUHZ9Gidp1Lu52YiyFU9Me66bsxMDT6rWbFNwwsNgwWnwKf955 npGOC5VbzQjuY2PT9aqhTl12q71Ot2I2yG7LxCqX+6jpbgL5vl+9VzuXWtdQ NHyU9GcQ37IbCexc97yrpfE04leP3ds/qORuu7SMrXS9mtcN0cVawXVnRso3 6zQfNA4BHGUGaiyot/Bt1i1byVkoqBJll6u41bmOrre6up/oeONlrqSa+XSZ RpUMehFvHl3lMUsG5+to6wzARqLTJYCSMVj/8Z2P47G+oPwnyRlV9XxWf0CL jpc5/l7yh5ZxlTZOlrBjpoyxSNoYnmuY2piGc6VNLzXo06k8wpEk/ul3XXjD Nf3YNFlAKJ1SkfPk9JguB1BUzm/LgBDgihHgnnbglZ6QMvTU5Lj0m1AdbfrE 4jiKtKkR7iWyet6uywg0gjcaCX48s38Sr/t1H95xYwifuB/46sMFDIxO4y/1 efxso/xudM5jZX0MX36+jKs3FFSUHwkpW6uPN/XDls+rtYyqkXkeO23NwN4U Ok/gtaPmxHUbS/ja8jJukkfh8rUlXLu2gIahAG7dk8P3VwC/O1rCTUeBG+tK Glb3Z5vNWsKvNuRx/54s1jVm0T9h9MGDs/PY3hLDJctKGsPpZO+cLq3Qz9q0 fw7bmsP44hMlXLYeQtxl/ELyp7aHsPXULD5xRxkf+q38mt9RxGVL5d7MJZFO 5tQVNn2rUWyejKckN7b6irq5jNH8kP8mvNfk2865PJ7slePcVsKFi0v4k5zX 8STQGsqibjqJpaPAmilgux9om42q77MVDQks2lXGH4+X5Nmfw5auOG7ak8f3 18uPL9dOGD9qq1wfKf94E3DZljIuk+twxdYyvvcq8F3ZpstvmgSwnvGUrj9U xg/WMvZVCbfsK+PJNuDZvjL+0FPG7yTfEchhIiYgnUmoQ4NEyoScpjrBl1uK +OxhOZ6TJZwai6pvNsZ5Wt2Vwr318t99JKz28/R9Rt8AkXBCzRj+0hpUc4p/ fGQOb1i8AZ/bugKfXnEQf/eDery0uV39DvA+zc3PYi4yqy7koynGFIshlYkj kY3Ld50eZdPpJH1ZpWOIZ0yMp1Qmqded5UQ2qX3T2QRXDr2C+mlifT6pVbQ8 0pSjpkKKzXTInS6YdYGs0SZwzBXTpZQuEHid8J4M/mmDh0qq0cClNRqklC+D TlTT6qWCqPUNTLdKEXrvdV0Ic72ASZlr1vojVm10wrs6i1Ihu3zqgoDWE7el Zda4kWI1MWumljVqPyv/l6stZZmqAZ7bM9lptbSlza2P5reOQS7bmc8Wphew INW0z62y1VVb3AW6aFD7t6b2+MzCgSnawQFVig1QgC+t3te0cv9e/fQ5vSdk a1xHTOhUXIKYUNgbpyYzk8qHx7lkMaH1vEATOkI3dTFjQgc4qYbqz2fIx4iy ODdHvCzVsuQAupRUpmp1pefk7Z917OG1/bIjbp2P2KrwSPij5Dg3YmXhNY7g 2MBtZV7dqxUC63BhUi3xoB0RsJN0Dm8VQRNrpTtRtzDIWyA4S/TWetOuSzMD uiBRQXGfg+kKqAZ/ZWyfzlVDqPbUuGDrz/RiKtNruNenxO1P9zPxNknXBWx2 eLjCwjKVhfIKRPXo49sjH4VenncPIbubu3RQMqDY28UKalkbyuzRJOVa+eiU /U2nO1iSvEtzA6BdXjbwo0veElk/lbXJQKqOybRjKtVeNYfmXnbQqWXKlEmT mQ5MCm7KEJ1aDoij/VkzUnJnj7bEZQE2pNud1CEXqIOAKzmF2FLreYt8tnLb pBwnapOJW83E2TYdY9o79PDsTtl3JmfnbjXTnWW6ZlucaTsF5TtIyAjKsKBs M5/PtvHhaaNtd75VSi3cUszVoZlmnkWL3KypdBMmU42YyDRRkzrTwivTSCxK N7Akj0GDnMlUtp76CNk6lmTQcSapTh9ldeYwJtMHnXTIi4nUAc+7WGQHt2la 4HsyI9uZ45hISzl9UoY2SH2zXkc+FPZi6yOl34JR8yOjDvGcH81cUCNLVxTq s2rXUiANF6uE8z6DwwakqcdVhFqzlBXCNS8okDvgfYYrLraJ244YmbsgO0tx gcL6AhfLqxFd1QOk4HMUBejvLFEoq7MAl8M1JZQvBSQXOmhueVxys0UFAdbJ KwSTvCLSl15RWbxGpf++6gjBHiMTro54ZS2HqxX3YcT6F2uRYv2Kw/GCGwmr OVVSDX2vCu0Xqnk8GZyJTE42t07KG5N5I+lf4HqVc7T5Lap7yeqeGler36S8 j9J+GUXH5dToHxGWZRpnIpBTsb9WFfsF1TVR3i+sTrFP3lHwf6cSO5X8bYoI vc8XC64CgF1+UTH6OYb5jtWfNMYW8g5ueM+I8H8lXDw0PYVReS9UdXiH0oXM vboS8mbU1Z/QKT52jtHfV6OMkrEdII3ffPPN2s7hFJ0RD0YnJ5TOWf+nu+/1 GAWEM10Dfutr/MpFVyuOcx8OpnusAfrF3/i6ahVQ2ZfQ6wrM1dddSefr6u7F TbfcrAhgHdvt2bdXFyI4vxybx0D3mdpuwxq7on06xHPIyCjlc8XBibYFo1ZQ f+qkPSTK+Skb4jDq41cFcXbJs1rez5z27zDTV3uNO01HgNsVd+y1SjJcYmB/ 5q4igEr2Ta9fujxdbTU9PFvnRo06Ofi8yu7JzWRG+0VhRg5+YKuxmFfX2MLP tIq3UZU5ZSQ9pXwbTo+7+6CTOfUiLpy5sv6KapTBq01XGTP37R82MYktb5ZN m9WYZ/hlmtkn82GNznW/jSg1+JwrYFc23mbcjGuIZud7r666rWm9w688ftV6 3/E+PL7jPGVpCuY3Nf/aMVh/rwr4T/YZC/UT/c+6x6LWDaUKk3EuSuXt9aRz YCoTGPP9d5vr4/T1x9rl2r5b1wLcyFXvdZH74d0XmOBbW9/n1vFdnEsW6hBO UX0JLJQn5X2agaytKsXO1tvVSN4+n7wNj+w5T33ycV7ekrqhZ3BieLEeNo0H GIiLsPkePZZzqn8aYfUgFNOKeWzacxS/ePEA6gW1iWtEUJXSc3GTGEdz4UJO pZnD4axqfx8LldQ9dDgUVzwi7mYEB1OSKEsmuh/oDOItV/XjTdeO4bsrC/jN 9gQufzaAq5f6ccc6P5buncLifQEcChXxRA+jMxUVrScmp9WdmFX8F0T3ktX5 VsYgStPaxNcM/5QQO+3uSfI/W9qvhvTvvjWNj98DXLsijdZhP357qISfvAJM +GfwxOGkSvhv2JRTj2fUDqDctlrKr8GSCupSz2M8uJ9rCL1kjKBpN6M68vIr 2zKaw1efo6J/GXcIbX5NHqz7NsT0FL54bx7/784ijg6lsKYzrx7nLhdSveGw kPvxIq4/APx0e0mNBH7wSgE3vFrGs3J8XeMx3LI1j4teKOJ3m3OqDMUVi+6R GfzX0qIq9v+hyRDspU/LT9n+sJL6Z24v4sV9cVx4dwnn3FbC956S/ybBFGJC sfFEyjEAuApJ+Wmmb4IoA5Xp7S7oag2N7OkTYd1wEQ80AzftKuCa3cCu+TK6 4kV1BuAPTOLAZBqrJiCPAbDZX8ZTzXlcsaWg5/OHfXn8cn0JX3+hhIufBr71 EnApg1ttLqqX8j/sK+L2fQXcvr+IO/fmcMfuDO7cl8YNQuYPtQldy726d7/U HSriFq5wHCrgkXboCsGG0SIeOZXFxfIj8Om9JXxOruMX6oFvMiBWX0nVEKg5 sWUqhfcdy+ETO2WeOjnOHrnXwYAc/xwWt6fxSGMBveOMFj2L6TnBweAcArMh /OLoGP5pYzcueC6Lrz+Tw4XrunDOK1vl2A7j/Xd24lu31mu0Z39wRsfQsl69 zcfC6pkuEpPnKBlBIkmtkajJE2EleX4daIEfiocRTkQQSUYlhZX0Y+mo5DFS Psney5DbPikx4kwsK3id01UAvtUVEuqejBSesjSORD6uvsyo9y9lJfVEKaki lhiNTWkCEC1G5b0xouF7NI6szwkRGy6GTIgfDTUVUq/gts6JD6RRgdQbMwWJ BPVAbkZJOqB+qgKEcakizfi1VRlb3lcoJferFHwm72fJbimBT2en5D14Uuv4 9j1Vq8VabXA627Lprm0Trgctlv2K0VKSHn6njlv/a51Xh8i/1sy4bdAk27qT 1w7SXerL/rjdIVONMxc/TLeqQaaj6qdP52jC7OzATVIrQCEQPk2jYym9Xjv6 WNRGsxIgxO9zGmQ2ed+TmZW/p1U9fSo7zJJNZ9LoWY9+WK73CHOeMoXZ0so7 MWxkzD5XpkyuNXRbq3JnSnpVHC1w7dfoPjpoOjuk05IMZfIqWbBS9EKOZVt2 yG2bpghZgNlneVrqpgxie7RBr0qf7nUq0y8A2isU1sPcy4K8ZLFqXJhoQviI TePpbtvFY/rIO3KmS7F3UpiRaSrfpefcpWTf7YhWKfPt5CpEl65kdDkyz27F 9G4q7Hf5dNu0Gplsly7PdNY42JtpF0xMCyGPp4QxpbSQJYYaEkyVkhxQmy3z 8NLttayS/ulWodexVIuUGiU1a8/JVKukZgHFFqeuxQC4VAp3cHNSqJU5mzl0 Kt2m3aUHCbRF6F8JNtmgWE2inUgytTgzC+GmT2m7bid1WJPnDUqfZqZGTdy2 3TjktKHO9lTqJOH/lLLzCW7qlkyZOiUv1VKWo6jX5M8YhJ6RXKXO2ePM9aei zqfFWhVPT2ckZY9o8meO6K/AYV7rA/qkCT5n9moaz+zxYSy9W56K0dQuDEsa zezRNJKW5vQBSQdl/FjykOdtcgsOS+96SXUy9KRzNdt1pWMiLU9Jqlt/QMyq 2oQc1izm5EVxNjeveaiYQTCfwnwhKymNcClPy5VSiR/lKuF1QjXdydwLXG5+ DUOTnAmiUaG5iMCPJPUtQuwmqFXqTa7wpq61ZAI6AQF7U3hQNTkteor2QCgd J5gr4qvjx7Ij/IZRyhcO97lETjYvL1AKr0FKsJL47SSGOC87rJ3XDiquKbnq gEYJ+XSqtpEine3vOHxd6xrF0wqeUVYb4ryKQtlysU4ZIbgRildcsvuMLXxH skQAL1ljeZWEJwoVp+3C1vIl6UoZYXhvyknpii69MZrPFuWrxzjVwzmND2bi VRsDelWrH1cVe3Vb56VXdz7JBrWNar1Vsc/Ro11ZfoHzKi3n4jO94DG02C8W Ob7ozjsXR06c0ucijYpE9Qc/+qFFYEOVf69NFwnV0rWduq0771xHx94xef/Y OS42aqwxSSOCgp+58PMuClJMzmlJuJ/93OcxNjVt4Pp1p9nrs5udnj7tCL/W GZ3rt5xQ+2YbyEtfXh1jCxXMW94m11MoXQ21FFpzShrbn3v+eR4bf8uO+eVV V1ve9lhjdvXAVzZnTg6xUnzO+dnPftZRxzfzfO7zF7ou9pzQaR5r6G5Pwzid q+yXoF0R35c9VjLOwNPVDgKYP/744+aZrtFDqjo14337OhdqDRtWhKjWAxrd gtcNPO26mUMVzpPICNcrTlyuKt8UOHObtGahXUDDVf1+5uAXsezINxTUOReF sAe6H9L52sde0XqGGbOu0tSkfPP7FKSpzE9Yvk8V5z+gSvumjwF6zsdxLeOv KMAY/YCigj0t33lsSw9dguVHL3E8uH9Aj197lo0vOrugsObkT1zBN93v8Ri4 nxUnf6aAzbm4v/ucBYedHbcb+xBnQeHk4GLHvv/9WHnyx6rebuKDfVDHG0WC osK9zrPFnDP3r3Nveb8KpHkO6o1O9k/h+XSky9o2zEY6VV9AL9WmDwowf1zd 7NHTwY7OOx0vC1BHAJyW6yA8rQcYDZtydclpe2Bk94LV8sDRDWDb6Er0Te91 ZOD/VNHIL1XU5akwzcWqn96zGM+OyJt+NoNkNqOkZdTfTU6T4Yz8ZlHOuGOy gK1Buc3hpDpXnw9G1Qc3reppq0LApqky627dHvDi7OtDno/Ce/08zrgmiDN+ PoPaKwM4a1EAZ145i7+7MYgP3RXHv9wXxUfuSeBLDwbxpfv9+PaTs7h+mR8P bgrgxQMz2FYfwOG2OZzq8aN3bEYgWaDIH1CrbkL16MQMvvjAEF537Sg++Icy LrivgOcPxVTsfdVO4NYdadXzfmBfCl95rqjgSktxukk3obgqKvTGakCdA3hJ 2Z4nTBBvE5jY/JspGnXzJ44W8YXnSrhqNxnQRA1bfzSIx7fH8Z5FwB9XJhEN G+/p3VMFXPlsWVgb+PITwA9fKePX+4wmPAM10xD9J6+W1CM5Jb+MPnbJUuia wNOHE7hpcxoXPlHCdcLT97UCFzNi13NJ/PufSvjk7XkcbA0p9+1uiONTdwHn 3VnCDxcXMMmA33JqasQvPE3/g+TAWCyidzSVzqovBLrfn4gm8Hh3GX9py2Nt dxo7pmTfXcBDh9OYCpgA0eNy2VaP5vHiOLBlBniuF/ivtcCXni5rpLVvPF/C XdtSGoWN3PwdOf679uYRD0cQjIQ1qhgN1efCQm/zMezoT+DZHuDZjrx6gJ+a jWD1YAEvjxawWtj9kY4yrj0EDAai6uSvfXoeG3pz+P1x4Xe5Zl/eJfuVa/i1 E3IczQV8pQV4x640nu2K4jHZvq+xqJLuYX8QTzbl8XRjBoNTk5j0j5pg2KMT uHBPH96xqgef2dqHH2+J43uPFXGwN4gvb2nGF7fuw4+WjONDlzVi3wkhh+CU al5Q64K8Pjc/44QimNcg3PMxeayiQYSSIcwljUe7+RhN1oNROkqjx/4QEz3Y S99gLCSsHRKojavoORHSoaEkvanPJwRrw6mw/LeMpOVblYloimWjmkdyUeXu eC6m25rnY6yn0XDEc7Z2ieTCJhUiStjMw/mwk5sQuRR8W7CujqsrZaENRvWd VQt6KZKuNQWoMy8wrVhNeJ5RrKsgNJFsimg1TZCdUgnWlIDSJJO0jmcmfFqs wZi8447nxjUfoz+ssexErdRQ7ixFlph7tMGjozicSbbk08sqnxk7TmdYY6RS KencHl/17DonPYuNZkZtnT0Ced91+mfGZMpxJo9OWasNNRgV8B0RAB4T1h3N 6aGO1WCcdtVjSrZ2T1LlqXE+J3KjLGkaywyfodW1LGqVaR6SbWpPj6sd8URu WOvMlnyy+6BprWFRIMFN2sFrOoypGHhc4JnDbafx1ICQhelD2830gFZJUg4c 8EkrGyaz/XL0fUx6tfvk4DNk48l0nzZyS8GWV1HpVhomUkLBacJxH3O91X36 aYhYkvQ0nyOpPuGhHk3DwjjDKfr1GkkTe7lt2gi2/DxboLRLCXss3aHoSiGy zSmVtMLjGRVHU4HZp0rLhGRjvEzt5BpVWp51UiDXStWAdi4rtHEJo03e1Mmn hDCSr/CwQ8OSSxpNtXjlo9WHoVSLvB4OS92wwOlIslmTtMuJNcp1bTLlZLOH A1pqWMXzs42yVctP3oMGn9M6lmmW3TUwcVjylFz6tKCsbGvJ80ZW2i6skUty QoF7NFUv6YSiJDGS+Wu29UiIs1qXlLZEndwy9jvutrF+PHXcTWPJY4qqRzyf YBmjicOaS41t17LJDwmGHxY0PybpiKCrULFsT2UO6TaFzY78WR6z/XL79igx T6QOSL5bnqsdci47ZB6TT2S2y3lul/IWLY+nt8n2Zs3HMzvlPJh26H6m0s58 nF8F2CdUBM79uoJ86h/ouk4/vwTOMtmUV4gqLN/4KfmVnJIf0ul8QlIK/nxW ICrnKBkH5CWgVkWXc/KPX32VyStiuGR4+bXMa+DbiJ8FKV1htoI21ZWVtiMU P4eLWCi/smUuXXKaEL2Qc2pF8ZAaTLOO8E0U9zlj82VnFqlk1LgSXUGWqjib W/QwWbKwrQdD9XQeaL5Yq0LvhYbJ80xFTTF59WOe0Pqij+TtJXJTqA2fE4La 0vb/JtR+rZtuWDt2J2Tmaxn8TVgZzmBtOI0tsTx2xfM4IIlBt2mu3piuUk4X fP6fPF4yVusLXLVzR/Vct1uTxRr54B1sT+Zd7XRCOWOqUfZdUDfyXhq2S69B Y97uJmFyfkUI6mOUerui7wUaX83xaWdSVji8UPQ5gm9G9f5ZlUf1fXX1KgwP yov1ued8XPj5Aiy66jo0dXTg4q9fYtSoBYK/9vWL0Sw0mYXjLv7c840VdxVv W6tuDQBO74P/gtbubhVQcwrujjmnpWa7daBHQfivrr5Gp/zhj36sboOoJE5h +QtLl7ve66xGN9/rF111jZlTxvzHZy/E+g2vOub15vAI4oRjK0C3h0gQX7dh vQu5CunnnWvZ254tp+d0y5a/JNdZahhvfPlLbnTynKN+TZ114W6Xq3Xs1Veh s7vL0V9foEsHdhmBVudO5DQ7hHr9jtjdEbO/Dk/89UmND27R3i5cCHIb8WOp 4iJf2r0OdMsV/z+KxQXn7IrW5Zlg66qTP1fw/Ou+C1UjmoBJ53JWi505/cQ/ uuNcBUI6mbt/mwkivanh2orZtqPZ/PwR2ke/1yicn6ndyMPkzzJsqOz3OxHE VMndY7zMvcVx5RZTQfA9jiSW0lcyOIXP6vt9m4nWps7qSs7CgeO6jRwugGqm e5ueycbma4QJI1VnXXLl06/UXaEITqY1WP0BdWzHQxgKHsZzNGrfany5szwd bXN1znlZ6AN+Q9O16geeQc9sCOyn9l6I7pkdTuwpqPs+qz9u/OqZ0+Al4FIE /44P/tXVPacVOf8c43E9VRrkP+UsP9hjfUEt0E1U8R7/Lqys+7HW65LINrOU wOUD6gPY57p1ZJUuFYwG6zwa89zz1ao7aNxQkBbJ0y9t3oFfralHK/XFkzn1 tJ7JCmNLou45t5OpjOouT0USWDNZwoH5Mibmg+pSjRa8tORVX9nRqLI2qeNA bwDvf2QCZ9+Qw1nXxfCGXwdx9m8jePttEbz55hjO/l0CNdcIeP86jDOuCqJm 0SwW/iqABYvm4JXymVfN4Y2SzrxyBguvnccbrw3gLddM4503+fGBWwO44A9B fOH+IL7zRABXvRjC9Stm8M4bBvCm68fwf/9UxmfuBw52BPHoqRR+vgnYcDKi uut0nf7VxUXctrWovsoDAZLQ/Dw9YFvXctRdpg66ULLqD6c9TyKRSev1yudS KuinZ794OoefrSnhYqHim49D9drP/WMJe07O4D/kGM67qYjOwbAiFPXwaa/M dY7dQoQX3lnEe68r4dw/lPGVZw1937Af+G+hxt8KXV69u4SfbirjBxvL+P4a 4Jsvl/GFp0v4zhrqZpfxw9Vl/NsdJfzbf5dxwa0yZ2NQde9pxk/p/LbGiFA4 cL7Q/RUv5DQGG6Wq9HeuHgDDCdWZNtbajJEeFhKPYudIVmn+rx0F7A6WsWsM +O464CvLS/I9S2JTVwS3HCioHf4DDWWsDpR1/eXBU8CNr+axsy2GsZmIcc03 L2TcGcUP1hl9/InZmJLpzHxAtQhIq33TYSV6GsmPCsnXTySwcbKAw+EyVgjt bxDivr8JuHhDCQMyb5D+5IXWedxc25mJh9Exk8WfmwpYdCCPL+0p49/3AP+4 K4EfNUTwO7lW95ySfc+F0Do5j6cbiljZkVQNodHxEazvGcV5W/vxj2t68M2d 3eq/4Mn6CC6Rr+zzR8IYCczgom3NeN9f2vCWX3bgmofrMDUzpvHBJ2enMTM7 ZaThck6B8ByZGnOxOZVYk7RVYh0XfE3EMBed92I2OisvcBH6QAuE5PkL+TXN hmfYFpD/NdKImfCMLkrMypTcllEy7awhcDp/FpAPpippPk35tJSoyZsOIZiR XeZC6pN5no6KQzRyDqmtdFA1I22SbSoaa/DfuUKQJZVWe12Z9awwDdmae5+h m3MhapVaTstbspsIZVMGnmsVhAnEk7kpC8YEzzSjVI3Sz4a87dpEmJbcK/Ai 6CoALH1G0iNKtCPSPpIe036S+9jHQ+AxTZJ7dJxMPiRkPCiEzCRlHwvsKtXD mREm6SSfPk7sZcnLkk9btNLt53NbF1T1kyOrjOCBUqw7kh6SzSGpH2ZZq2tM Sap13mHtwC2e15Ai5aAONFsjmQGfFuXw0v3c1CRlr5xgn9eUpEpLNaY0lKbm 9HCW/fulnibH8innK5C7QBukhEEBYOZDhNhMby37cJoeTtirJfZ2ENegrynL CO6FNsAcPMxmpkyX1srlTXXI+3pfugu9qU7NmQaEjPuTnZLa0ZcQjpUNfrTL bgZSHRyrSUbLbjpI0Fx1IQwToClspLhWJbr+tIFh2Y1wsWPZ22JSzigmKziT mcnT8pYrCDyrXVv5rGZbZKg/26Iaw5TbGpRu0tzBYl7jZj4nUj0o7CqJJ5ck Eg8kGuWgm9zUl2TbgABxjZzSKenVIKMbmWq4odeqUasHEqc0sXahnO1JTpes ZwnDyZMYStRLquM9TJ7g0yv4O5Q8LtfkBHO5Myk2skpKkki+UvJqscZUJqQx cZSd2PMody/9BxPHuCWHclDKFA4PJQ/rXT4iOzssuzqkaUS2pY/MmNwvfRIH KiUBoKHEPhmxT/PB+F7WmnJil5zYHvQndsoJ7ZIT3IaB+HbNh1LbJN8s/TbJ 85Xa5HmX3N9XMZrchJHkBrnaGyVtkHOUlFyv20Roto/K8LHkHsH4vZorumeO u/rfKnnPtRlptDyHVH9QT3fU+8jSKiSo+guMCzmdTcvvVFa2MsLNuWoDXcwJ dwRyJMI5Ve6edwA35qSkyoiNIza1nC4bgbQQNAnZo4hsgJr6PiVHFF0iGztt WgrloeuWBd0DvYtJot8D0ONEiXxdUFcRReXpecbBzpcUrpWzfSrv9qlqclgY OKKmxuZTmB1RsrGuBUidsrfBawivWsE2QZpLAeTyOG2vbWmBDq1R0HbAmjnd lwqaJgUvz1YJd0red5jSskOKXJlXGXlbt2bGeRyDTUEjhnpOjz1tMVs1y2tf y9peLJvPyv6Wh3J4Sa7ailAWr4QEvKM57IzlBLyzGqK8Tv3IlVQM7iV6yxhC d3M6r0n9wjMem8Vph7aVvrOkK5p+12pdZ6rsGodTIu7lKEY059XlAEfnXLb6 03n5ZbXhzA2BG6k4peHC4MbdnOHvGo1tbtTOYUzE/QVy98+vXOSKuncfq3NE 4oa7mfvlOZktme26zi50j9N9QMFVRk8UjNu5I07cNXI3oTglV5MK6XQZaCKl Gy+Bcq/aenpwVIBzaGLCGIufZez0yxW/9XmHZQkXzDt6ejEfjXlpdW5012v0 VtMInertgu1GUn62+wRY4rZTUJZDTXn6DXLqHdV1n/YheQgSu2Lnagd4ziKO tBXUZrxEZXAr/dTBRROTnXhPd/ouCJddPYvq3FkJWqiCMooVGT/OxnWv6me6 neFOdeLESY3UW8XZzlSfdi2+7apC0YFSqwBdJT7Xh3x/74NKiyS27W134P7N /4xVJy53rYtdS+Zh44qNVEnvcFoWYjWx+MpuUAY790y0W62l7TGiivetdbK6 ZBNCpK91uy8eVqoQcTTGP6Da45br6YYtnQvr6IrXv0+56tM8Es7tD/eohngk 7Xf8q5dgRfdm7aGE6mBubIskJlQb3qpmW/9t4fQowqnJ09z92/CM9ny5xePi ggHnsW2oOie9hmoNboLEabC5csUTQbn6eNzr7hxEuWhsAzxv0xMfnTuJdH7e NKnKd9ElddbRyx6tBLjiULk2VdOVK6wt+3VUyV9vrp9zP6lCnuO/pEAI37/r Obw0lVK94kQyrbLZZDrh0KdwqOezGr2K1EYd4o1+oFn+h1EPV523MVp1KOJ4 XUsiETaS788/34u3/mkCr7sug28/EcWp/gD2t/ixpi+H53sL+OOJMm45ksdP NmVxwTMFfOShDD58fxL/eHca77orjbfdGcXf3ZLA2TfF8BYh99ddHxJan8eZ 1wVx5rVzWHjNLM66Wqhe6J2i8zMXSb5oHO+6MYLzhb6/90wRHaMB3HS4iF+s L2F8Ykap6/dbM/gydbG3mdhvM4F5N+KW9R7Hr2s0Lj9FsUTc8z0NO0fRsEK5 hp/L66LEqeGUwHwJ31sP3H6yjIueA770QB53rI3gg78u4fcvJ3VhgqCYpRJB ISe3IKe3hjHR/roDuOC3wLuvLmpMt68+UcQf95axvLOAh9rlEBsFPttKqvp8 5XYofDN4+GNdZVy2GvjX3wMf/Y38Y+ryq+Q/ODuHGYFvJTcB3c2n4vj478s4 74/AL5aWMckA6OGoSvlNfLgg5iImcDvLfgFmRov/U0sRG+Tb0pfJY2B6Ftes L+CiF0u4fFMZV26VJPlzR+O46pUc/khVbXkkts+XsH+8iLlQXFWq6UaTzvC6 J8O4fANwyUsl7O2K6GKNPzijhvvTni9gRV8W97cWcWA4ji3DeeybBeoT8u8r VcSWySKWjpXwwhBw6ZYyegNxHc+gbvZWqeg+EVf17IGZKL65qYDPCPCfv6GA /7O9hM8cKOuixj29EawZmsNfG4vY3RfBuPyPu/9UPz64rlvguxu/OTyIycCU Ou472BPFt+ReXvmoPCLzcxjwT+HzWzuw8KZW/OcdxzA2PYIx/wQmJ8crID4f UGNwfiUmJM2n4qoqHklH9PmJOarmFHELZwtVG/imWvp0cFaoNjgt/ySn56cx FZwyaVZ2ERiX8qTUT8Efkt2EZUiUwuUYWV2KLMEfF2ZPyN6TwutJOZI0ZdOB tLD+TCrAUMVpweiMXHrJZzMBIrWBa48KsgVTpE5QW3IFbGpzzlD2OU3J5pQg dXaKMlaKpi01KzkztPQI8ZkwrICseEwo1jrhjjQb+uVtuU+gU3KzJQflbKM/ NcJeisxe7b/ArTOJfYaYe53piNlOM9EurZOaLgJ4VKAeMp2Ha1mvwDjEOubS KnXa6tFmbbDJdNB9aa/+NJWkBzKDLGlvW+1FX6pf39IGWNKeToN0X+h2qTWl fgJyX4qyYNO7j0nmZl2NbksJvcluyXtYYbr22CqzRddBZtsmQmGPtnlJwbx6 0kHq3ERG7kkK68pIzlLBZtmSkte0dic7fOhKkGXbE22SWuQllSzbkWRdp1Cz dEG3qkr3JKlGTdLuT7VqGky1CKGzbYQy5DEaAQv38llqpUlB1pCzQ8/0N9ak bsiapcpNBOcm1ZtoEoxqdux+J7PNfBCbKK1v5gpMo5ckTLZv5DWmfnNvokEO r0FOgITclaB+s9k+hZ64kwR8ewWAbd6XOCGXqzdex8cxcYIlk4Ri+5KUBUtJ dhAn9fbGjkjpqCYpy84TrOZmP/ubJrm8icOK6IekdFBzSaw+qBeMmweEWg9q krLspS+xXxeWpC6xn0n5fy+XAvYR+hN7WUJ/fA+fzcRe+YcuZYPC8d2aiMPE YkXk+E70x3ZIEjxObJX6rXLEm3k68U2ev0dP7FVJ69zUHVsjaaWc7Fr0xTbK aayXQ1op41dhILZekHq9YPirGEnspj638PNO+YrvkJ+CA3JDjimqj2WOWK15 qr5TgE81CyIyJczU6JjK+SXNYTIXonhZno48g2JMFVKYlv+NlBIaI9mFjpEs yMmagvJ6EzKiYJKy13g3Nz7J0hWq8HidINR5FTwVrc9fqy2qsodylQfztNqh phzKsUbWVrub3K60lOUL6Wy2oM+r4fg5Aa0ZBoSdyZXU90SBHZymMv0gFNXr vunpMLgyFrfn8nni+ALVSPZptUPhHiP9XqD4bgi96JK65LWWxgsFp6qsHF42 gF7jAHvZJofRydxnW3DX3JYrQnLWCfblisruDG9IKXK1IFxZXc4ySYdlAulc rahC9Ax17Quq1F5l6W3f/41YcgGLZ7B0Jkv6nr/QaQbcQFrG7PtSg+med2Hp fAFLg1k3vTCX0Xx5UMh9LocXQxmsCmewIZLFjkgee6N5HIplcTyRU7G5Ky53 8ortd1nJvTNZsJrphta9BHct+RTTa1y4N/LyvIrKfUZU3s8Q64PK4447eDUR l+RTTPcJplNtvaCkbnj99arG/rMrr1ae+6jA+c7j9fK7Z8zHCeXUY6cOOx8Y QXk+ih7j9+2N+ljyUeRDxaUlCtNp+a1wvuhqdf/GJSQHzjXnaktaQ/DZcH0e n+sbzqw6mYDuGlOurP71PF4n5hy3+e5Ko4OcmZTfNvXl50I44OC73k6VsJtq 2ZIGeZrY1bph54IERdvC8xo3QN5oLIoXgNPwPl920Fz2phJwVFk3OEOrhthh Vi1DPQ9UhR4sVqb2KOzX6BNY6+7f4rjBby4X/FBF4jZgniu6rsJjolrz2FoV sBJv6bGcQlLKkp24Bo64vYhUNqaWxETGB5zgaPdt/5DUh1zDaJTzrj84ux+L jtaJV3U9o6HRMTsRlMhqHK2ZEGQUOqsu+bYPOBh4+vGjVKmzLsorKGzmsKG5 K11KDiZXnJUVq5C1YPXVnS174Z1FC/cGuasoMOEbGQVRvVg7OzP7NZhfWRpY oBbTD21+Lx6Q63ag+xH76+FzfuurKd41gqmpXEVTsJNZLi+4B6wLGmbUma6j cLNUUKjcI4vpclzv0b4XuzvW6yzPEgW2j7+8Gddv65CXipS6qaZwLiaYnBZO ouO0sLClFY7OzEWwbqyIfcJUo3PzGl6NbEeBpgmdlnCZdCCexj880QffLePw XplVZ2aHJzPYNJJHnfxknkhBw7xtD0LNg7/3CvDttVCHWt+VdOkq4Jsrga+s LONLS4FPC8+e/1QJHxMW/ZdHC/jwQ1m8594E3n1XDP/njiT+4dYE3nxzSLH8 /fdB439/78UCHjiUV83yxw7FBVymFa1v2ZLCVxYD9+1KGs/i/oA6NtNY5Koi TMdTcsaexc55RTTRQZmWE1E8dSSPLz0LXLW7hN8dBT55fwlfeziPT95Rwidv FiYcm1XOpNCcAm4KyXmPCq6TvLKAUwnXv1DGR34DfPjXJn76bVuB9X05ZekV A1nMBSM40B/DkoGSXq/NAWD5iHCj8O29O/I41R3UZQLytYmRbqSj1JbfLMB6 rrD4uXfJcb6UVZVtdS8+F1AhM5mSwn5q2G/oz+Lh9gLWTwBt8SLGZv0YmvIL ++dVxZ3O3tY1JjHij+FXq/P41GPATVsLWCnPw5rpst7HduFymoerskN4HtNz Idy+O4NvrwEe3J9VBp2emVA23TOcwAOtwBNtBbw6XsZhObfWWF4NG2iO3CPX ZslQUQXdVxwooGUqjtlISE2l6RQtOD+j5xiMzuP4aBwXbQa+vrmMjT1xvNqb wCXbcvjEq0Vcdxj4/NEizjmawH83lPFyzyRuqOvC29Z24b2v9OMvzRMYnxxT R37jM5PonfDj5+vK+PIfIhicGlf2bhcm/8c/D+AjtxxES/cghsZGcehkL1Zv aceS1U2474lj+MXNR/D5H27Dp763HD+4ejlufeBVPLXpODY1dGJPUyf2nmpD Q1cPhicnlcsJ0pNzk5iYVV3pOepFzwqujgfodmt0dhwjgTGpH8d4kG3zVLCe DE1hIjyF8ZCqW89PyJuTlDEZkQljM5iMCZ3HpzGd8J+Ws34iTj3vyQRl1BNJ PyaTcgApGZeuQPUMjdYC/PDrqv204LWfiE3CpkLzlGrATsqrgyaqJ2cnCdoT XiuDrsibyQfpUaLfiLxw9mdGWRKqG9Zky4RtKXu5odA3KAQ3wGpSQWpQsXBI 67hVW1XHvtxy+yVlOzHAvh47X09yyM7JX+YUfYw5c9nEToLB3Yl+mf01bc5c XSmytj02p4+OMwfEDpo6k72S96m6Yr+OY68+PbF+lnTLq581trcmKXt1aK1b LVNoMhNKrUxjuvfIVrepW6BFn63ULc7cLfOkunxOa0eiCz2pbuFOqmsLLMvF EHgmVLNOU0eyk3VeMrbXLclkbYlOSR1ojbejlTzekminu+E2mbhJJpESq2Ti lmSrD62JVs9bCegEck2C5ArkA0nCeJvqZFNXezzTZvJ0q+py02WX0QRuq8qb HaG1jw63VL7NLT60jgVyrUqyjQS7yahap6mdPSL4fZbKngXJNQmQG8wW5CaW E8E74yfREauXk42d5MlG6+UM6tEWO8HklY/j8n+/XeC7PXpCk9TI9jF0SGqP HeU6RIxi6a5YnaRj6I4T0KXED4HPjvgRKr3GDrEkrUc1SRO64od9AriH+aCy KXaQic9H/JAMjh+kt6fEITnmg+hJHJBx+70sMLRzfL+t0nEywmmO7eczHtsr TL1PuuyT0TpqHxcN9sjQHqHynvgu2drNGt3uju2qlY+dcjG7ojtkpq2SNstB bpG0SU/nVZ5E9FU5kfWSXkFXZK30XS3lNfKARVd7zkFnZJWklZrYxC7d0Ve0 3CHMTr7vjG7klHoEfYn9zlrEEXk4jlNvX5XyRzO98mCM62+N6pBkJqQcwSgF HlnJsykBl5T0y2Asm3XscAVkssYGdyxTErgvu4q/fiZ5rbPkbojdWEvHii5f +4y4MKdG2VVv066mtPtWbUV3Aks5yTXolXVMVjYG21wRmBfCsJJuMjth3J8t qsFNWb1GlOVntuCmqUxB24p0EFHSJ14hX1mezh5LtJEoqY2EwSwnmUWAhc5m wVkMsDhv8D6YLfuMlD1EJelwzqiyF408XgXvp4vfneQospv+VRCv8QzKNVV0 T0pniuTyjHnIuaIOpEezeeZeUrpHpekqS6djNqWsyjV3CMulqmpZpqQFrlS9 xnGG7eKCeUPW6hpTwmn67WV9obak4Eranw+m5Quu/C73i2nJfBbPh7JswdLZ nPSRVmHbF+YzlMvjZcnXhHLYKGlXNIP9sZyqwdc7/tlpYE6Gp/S9Naku1z3q As5r3bhJqTdNV28M3NYjN9mowxcYt1365FX27ojdT1OB53qgE+tN7dPlXg+o /3VC/kKjFC9fgGojdQP8RVx+pePK/HXYIUCv9upyp/XZU99wZcd23SjKu37i +ASQ8N9AnXm0jE3g93+6B1/7+jdwxVWL7JOlTxnt16kS4nqLM3zvc2LEW08C KaX3lLoKZBenTh+IbCX3eF3pvfG1v0D5n7Owlw04p8tlXGJ7pxt/zlkG0Fyp 26lnTjk8XbtRQ37x0mVm1c2h7nXrN+oaBVXdWS6YZYPT1AGyBLm8ri64QerN cJ+R0Ju216gB2CHV6wDKfur9n2sAFxht5nIl7j2f59PCtpUrkmRTLrrozrHT kS4NVE6NdmOe/QGsOHm5CV9oudKZ49jQErVJZj9VLd/6Xo3OXo3gKpG1OZcH SgZb8nYVoKKdgO7p7eqXncsFvVLWCIoFDeG2s+33qu7N3fjlEEnheedLWC2c tzoN9jArp2uOp+SQbt5IoI3uwYccHXDn21+qHHXRWQRwYd2l57IuwhoYM4sJ BbuQ4MB29QKB+TkquofC+dK5KPb1Pqy6CC8cuwTVe+B+d7Tf5uXqirpXSlRg 3+T6y2Z/uKztvFwBG67PWU6oOgIbru8M9yKUnLOkhoWz1OFg/idQcMZSwSNd kH+QUzO49MEV2BgpKc4yRPi8oD11hU0eVbEl/UtT5NoUSGKDv4yGcF6QcV7D WPcHU/LPPIvWSB7H5T/bkXmgLlbES4KL710yCc8NE1h4ZR6/2ScINgs8P1hW vGOELept7x3O4b8E5f/9z2V89a/ARc8WBdGL+M/nSuqBjIj5jSXAxcvK+Oby Mr71otHtvmSFYJ2UL3pRbvhXljHy40cfB950J3D+o8Aly2jIDHx7RVmNm/9y MI3dbXG0Dc3hpm15XLxcDkFonzblVEdmRHSH8BXwvcr6F+gloZp7KBRRogwE o7hyTQH/KYdzS10ZV20p45y7haRvL+ODQur3ro1TOqpSal3xyKTVdMCuplkF CXsbD3YDlz5QxPuvLuGfrgO+9gzjlQGLm3Kqmr59KIVDcnteHBD6nwKOyI/b TnmJ2DhfxoGYpEAWvXNGcm2UGoJK2JSYr6uL45N3GGn69S+nMROYk1eI2YDn GhYxPT2DnUMxPNgBvDJRwoloGQMC9/Rg/+XHcvjCI2VcuyqDR/em8eyxJL73 YglffaqIm18t6CXpC8WxahpYNSyHNllGYzCvPsaoFT8nl2p5UxrfXVvGFatK qgFOb/DbhuL4i+xviZzOjtky6mMljMZz8l8/pU8kn8xYPocXRos6971NZXTO xFWLnbbxvFVUFpiZ9+PAUBRf3FjAFzYCW/rjurhBoTZjq63ui+DOk8Dl+4AL pf2b+4F/3j2Ht7/SgXPWd2Fb9wiGJwTYx4clH8HY9KiC/o3bYvjsgzG89Mph HDrWhIc3NuIdz3bhzb+txyeu3Iyv/HAHPnXpRnz8Gxvxd1/ajDO+vxVvvvEg /vWGnfjI15firA/ehZr33Y2zP/0Y3vGTJfjUH9bismd24/qlu3Dt4i34zfJ9 uG7xTtzw53W456lX8fz6fdh04CROdfWgf0qOaYZpCMOC+COzQtYjc9TxDhL9 hepZYhWGZgWfhwIj8sWXIgYDIxiRptHQGMbC4xg2Oa3eQlQCD9FUeig8huGI dIqNYzwhmJ7UtYLUFPndr/zuYr2aME/VEOIpG51QQfm4vm0PZsZV2kwdcimz ZBPlzyMqJjcEb5HZAHRnYlBgIUm9bQPE/Tb52Ea+OL1aSLFfUZaj2xN93NbU Kf1km/Sa7Fcx74DWs86rdUJr8V60yf6ZpOZsbazV6nYB7jYB7tZEL7els7T5 WMVxQsts4P4kebWHz/SVMWarPclITB2pXpaEgLu1e6tAtg6XvD3d62NBOrO5 RSibW7XcktcVBWfparub9k6+CtKjmBSFqbs0SVeZKS5wLSUeibQ1k7fjtIvm Z61sK2dzS1NLgs61pZcXDfE2H07FhdtPxlqlqxSl1C6/0S2aTsQpLpc27SVn 1RBvVW5vTrTIlWpXubpZDOhADwXvA+k2PnZqPW0SwcxS+0SGBD6ZpfycauNU I1e3XjSXpmh8gaNdLkyebdA0njlF71+UxTZyiSvdILOfUtXv/mS9EZYvlH2f UirvSJzU1Ca03hI/gWZh66ZYnQ+N0To53QiZvDF6XErHTAofRZNsNwt/N0XJ 5M3k76aoAHZL5KgXrdEjLB2WUuwQPw7yph/ibRB6bhOSbotKHhNUbo/TYZgU Je3V1B7fx4WA/T5u8WbHdkvdHia+2Md2c5roLq3vFK6VxEWBnXxqZVNKaI/u 0IWCHXwQo9tZ0lzqfSxw/WEr22Kb5Ug2Sdoo022Q6ugGdlgnJ9wWXSPtqzW1 hFfI9kr5j7xCyi972PFluezcbouu0tQaWY3W8FpOIc2RTUKrndHDwuoHZWsf 2sMH0RGuk+0GSU1O3idA3y+EPozexJQQe0CXq+Z19SwkKYH+TAp92YwASI4g Is9Krux5l1QDvcKqA04aFCoYlnxU6sclJ3AQxik9nJVciSFvQNmAuICz/ANN lipBpnP2HbNcqLLctEqsVexXdmIqGZdVlsdVfl4yjso5/Xyx6HB4SeNek3mm suDaZ4nO4NJF+XmE5iMyfozLCpkSlxX0h7NETwpFKnwUvTrkbDNDxpgUs2xU ncsmqnYub3KaGyv1+7N5ddsPuxLAZNj9TFeAr9J64XbL77otuwiqgXMw68jw fZVO2YJpqDV475B9ljryJWV6VaxXePdVtYaEyUnpXn7SEUmhxpTCcpg+QXZ5 A+CSvu43psHCqRufkmus7G7uj8dGAXdlmKcrHXsdm19bZV+ijQRNrn2J6FR0 SrXmNsqQM6os1p0XfPMaXPsarIeVqv0tr3EvzCWxWDB+cTCjovnnZ9PE+fmc TPDCXBovCPYvMXWC+G/TPlovaamMEfxXUT4V8NeEMtgk+S55Wg/I43REcJ9e 39XTe9qI7Yn7jvc5lce3ZwjulNOf5TqYoxI+uZ+R1uhozpaZS7tRuee/z7xd DjBLAozP9lbr9V3Rn2XK9K0m/oDc0eFMFlcsMsJ7Wq9vO3YMo/IkOu7gzUOd sw81ndTVuE+t4x9eo7lRM0pQomls3Cjj54yjeK8GiF+osn1+lbi8Ne8sFlWx v8YP+FvgX+PUUWzPOlfYr4tvFM6X3Fh6RsavDbWVZYBaeZebtmoA+gvxwtLl ru483b5nbVg5w/3y8DmS/rKrYSM9K/r3DpEbLQCPz7XiMAtQxsW8dTFnhcNK 5Y6h/2nSfPN1eIs78WO7Pob7Nr/f9Xa26vhP9MAoPa6WcNNt+eM7zjU4bkKG 4fjgszpnbWV6d/3R1L1RwTSYHD1Nck7LcYYdI943jq1xpPKnG8CXShWvEH/L PuC1ijLV392yasroT20V2BpsL1Xw3a5iVPWpqfb7aKbKV77ocgeiycnThe9y 3Tef+rWxqfehy79d/iEoYfEKWA2qs6ol6qctGb5mu/ofhz08O8uC08Tx9pxM WqC/P2ecfro47fTMr5O3clD/XFnOoWK7PJV3/vUl3HJ0AEOxuKK2hngSnlMn W5GwStlpJj4dTqBbfm02zxTVKfbeOWB7oIQNE0WsHRGwGipjcX9Rw2A9RClq F3DTceCdT43i/7txEjWLsrhyexkvD2axqjuHQ6PyK9hawi92AY/XlxStL1om v/SbmhOef8eKY3EsO5bBX/fn8cDOPO7YBNy4voxFa8r4xYsF/NdS4PuC2d98 TpB7sSD3MyUtn/NICW8U7Dz/4TL+81ngC08L2i4p44vS53NPUHFcCH5xWes+ K21ffLyoftSf3JvC3s4YhvwRPW0KjLkaoUJ2rlDEE0bpICyMSX9kguyz4QDq +yOq2P7ddSXc01DGZauK+LfbyviX3wL/8fsCBoanVJjNMbTcplI8o4ipVX+p aLxP/L3zqJpVqGf3lvGRq+XQHyni4V7j8u2/16awRa72mrEyPvmHMh6vy+CJ BuDFUWDbvGC0IOuLY0WsGBNKn8zLnYoZtXxhYnmCuYiweHcM590GfEKuzo1r s1SV8Aoaj3tuxanxIB5oK2DpEHBIZpuQNyrGmfjB4gy+KBfsvzdnMBMK4bIl BXz+UbNU8vyJnDr+VmffkRBa5tNYPgZ1vPaqH+gM5/QCcj3iWH8Ul71S1LWL A30hrB6I4zF5TriucDAIeVnMYTaW1NBfDNjFi5Mv5jT2986pAhYPluU5K2NA nk1C+NTsJGYCk6o9sUfm+9I6uaGbyrqooDAenlFtcWoSsM/K3nncerKE6/bm Fcz/dUcZbxfKv3hnH+r6+zAwNoQD9SdQ396GpvZmvLr/AL55+1p8/E8xfPDr z+Pf/nMJ3vLzffj7p47jTTe34q2LNuFzP9mBK/94BBfccwL/tKwR/7K3G7f2 jKBrbgaB8DyeXdeAb123CW//9F9x1kf/gtdd+BQ+8tv1uOSZg7j7SAeeGBrH HwcGsaipCz/YdgLfWrYbn394Iz5y+4s4/7aVuPDGZbj87iV4cvUWNA90YiQw rKA+OD2EUQHysdAUhoNDAuvj6J8ZwIBfkHe6D71TUp4eRt9sP/qF0AfmBNgH 5kfkZ7lvbgj9wUH0zw1Ic69sj6AnJNvBYfZAf3RM0hAGhNMHhdNHEtRQn8BI alyNt4XIB9MOltcqlg9lJyoo7uJ5rUrWe9ImdQuPE77llSM1pDwtbBzvNzk5 WcFWENfnMLGB5z7NWxP9XhYUOE3/5iSdYwsWy09fS5zM3K+pJd7n5k0JaoA3 q3i6Wfi8KcE6Mnqzcju3nXraKCrRNwqgs84dJYfCuZpjvZpLomy5X0fTptGZ l8cg+xN87RV81X1zDpmvG40C6U2pXjlrKcl8DULkrGcuyScfncTfDuXjLluv fXgOgpUxKqk3J7ndxZ6a2Ef6e1mQFwEOJVqbpnbOquWTsU5tOxGnJJy7Odvt J3Wa6mJtmtdH29zt45KORYnnR6It8o/ssJD54UijbLXhcLgdR8LNst2MQ4Lx R4TSjsWaOd5Lrpe7cipBkG+Rw2iUO9IsV6hJnoBWeWMkofekmuRZ7E810xsa bbod12YNRg+a/tMEyyk2V8fdyWY1KZ7MNTouwptI+elT9A5vHXynTxmFdxko bwmcjpbbw8kTgvInVMremzwu2HtC6FiwviNBn2UtiXo0x+sV2U9Fj+GEInp9 9IRcpOOhY6iLHsXxyBHJj8n2ERwPH0YdtwXrNY8cQn34ENcwIkflIp2MHMZJ wVhNUpY2zU9FTN2p2CHmXlZI94boITQI7TbKNKei++RG75dD2Y8GoeBKvteL RkH5hfK5E02RPWiO7tWy1LJZ8u2mW4PA/Lulyw7pslse2m1oim6T8k6Zeau0 btM2rZMhzRHJI1ulfbPUbZW2TfIrzLRRykzrpX6d4PoGtETWoTm0TrG9JbJW 6iXFVkq+WuZYIX2XM+eXK7LK8wata5X2luhKGSf9wi+becOyn/AW3WdzeIfM tVe29+kpNUXq5HsY5ipMc6RBmjokDckUYzJrmFEWmiKz0nMejaEwGkLyn60h lPD8A06F03KpsnKCOScV5JpQ5gn5sgLNKfn3InmbpPY00JFhUktjXRkYkvde rgiMST6Rg+oUU19YVwKKJiqY4/qcUnTa8Br9+SKjQ3mrZGhV8hHzRrfAiDxg xFOqNwyYGGZ09rZQRf5WFE81AK5CGNxRaOcPbVl9TZTkGS6iPyl0RYFtf7qo 9i0l9QXep1LZAdLYoMbiGk4XzFKBnOYI+4+qSvaETDMh1aMCZqctGdCLf7FW pfsLMS29pmRnlPJPCeVxQWBaRjj+wb2O2J8LAwGZjJJ/bhVqFfkZY6CoID+f oUw9SN33OSp8B5XV2cIeQbNE4KwfSC19+uQKzhKAWSQIZU1b3hXxc1ZKvsN2 QeBMHcRFAaYqmb7riS6tGv+G4ixqGaDKq6hTpVuWoarez42ms8MDFe3nAlHf NaSv9htvqhf+b4xh5XdOaCu+9L12GcGqCKhl/gJXWaDGXUG4yFlBOBOL5/N4 KVTAilBezfGXhrKqBMAVAioKLA5mZEIpyTPIVYbn5rJ4LpjDktksnp/LcYVB Fxe8LHle7xgHZLEiSF96WTUM2B7NY0+8oD7uT8jz2pgwBgFcTWhPl/XfOemD RgHtjqb//0/Ye8DHcZXr//qvZCdxCOSGGlJIIHDpEOAGCL1DqKGmQCCkEAIJ pEESkx47vbvFcYkdd1m25CJZsmRbvffe2+5qe2+Sdvf5P+87syvZyb0/fT5H Z+bMmTOzu1PO960iFuhUl/55lQzkiiyOffr5i/TylxlQaYLhPGC6/ucYooW3 q9ShNz6rEjzprzIFjj3Em6GkrQf7qxqwr7oOHR6/mBeofGFMrmDxGVjKRcO6 YGwulbUyyMTcyzXuJkkKn6e2BUbQPbUvyNWkc3kqFMv4EDjECcSpgRoy0SiM 6BNqSpBjPBOMLAQiyZNySmZCacrKGTIBKoxuxmNEr6aMOCJzgWbkDxHNSSjC hqWZtIFZEYRcwBs2bs6EpXttwybDBEAtFwzvg1lTDJG1SNDLWY0E3uxrsET+ G6YASxYLHjJ3i3Gn8L9GDbxUQ/nxCpS2szHl78Wws5ZzzGoMu+vgjE4aaejT htduRmghF/m0t0f7ikp/2FPFfbstWdnEqXfiorvRgH/jdjzHGI08n7nzCAra NuSqVXt+CcZ2rOcpY4BUxhDBjDmZMs4qi9yn5lhcFGLgLaIUnCKNWLRz5vZd Yp5pOmXe3CdHunzHSfKLUwUBKdMDaz41l903bX4dtcPrcwxpQx7Ke57O0uIC 28sxl5z00Mmc7VJTMvMWspOcBUHnWQti0dxsesGFWIdG7oBFu+cufFk3Gj+I OKIk4xgaHsWvntmB4lBSI86JcbSwssflVdGC0xfUFGv1nqTm3TrgJNoRXlcP ACtaU3iyPYXH26As/VRrGq90pPBaH1AwnOJkIoltg7M4m1S87F43lt7MR19d SCOUud0aCxs2Xxy3lQG3HgJ+shmq4Xeauay0n1+iq8U1Mv3cvHGJhiUxCecG tiDnAd40BhxAD8+peSyNyv4kLnsOOPvhNL4qKLx/Dg/sm8O3Xk7jilfTmvn6 hk1zuGFdAp+5L6nZxD96DzTi2+ceBb76JM9jdRJ/357E2uNzONYbxaQzgmA0 oXEEJL661zToV3GL141XKqP45qvATSWGtcIPXgQ+/i/g4r+l8USBT/O82V1O /U4Dwaiq+zNyhdl5zgPIzzmbVaVtiAhT2aT07WPzeKQshcf41b739iT+uIXT JD5WbtwO3LMxgq5xPz75d/4c9XySxxM4PGPQ/O4pYNukIW8omk6jzR1WQw0J nuYJ+PHcwQgu/XcKn38EuHNHCNM2K9rGZ/DKIOl9MIXjvjQ6RNJrteHV4z6V KlyzOYmnDsfw/afm8D/LgS/w6/rlWmhYebHZl4BsIl0Q//ha5yw2ZaQL1jSG A1G1ipCQ8ncentfAexJs77WRJEqdUJOCLncALr8DvqhXE4dH5yQFuJSE+j8M 8zJ4eQTI52fscEdUUmCzT2LSPoUDvQ788FAKPz+RRI3NZ4acd8Dqs6v9ffvg AGqaGvDCjiN4ujuNxxuBW6rSuLSE3+tOL84rC+Kj2+rwz/U7UNnYjKfX78RP /vY0Lv7u7Xj3jzbis48DX757BHesacZ7Hj+O9208gR88PY1vv1CNq9eV4vs7 O/Hp2j78rnkIpVNjhvmBBK0LuTTGu0SS6xqdxkvbavGt32/Bez/3HM66+FGc 97VVuOKJYjxT34maqQk0uydQPD2CtUEbfhiy4ZMjblw65MenOsbxgV2F+MLD L2L56q0oOn4clR3NaBrsQ2VrM2o62tBrG1YRwYC9Hz3WQXTbBtFjShl6nEPc NoQhxyD6HQPonRlGF7f1zgzKsswO+P8sdHO79Ot2sY9nhGUIfX6O4RvBQHgK g8FJDIUnuDzB+e0kJ7OTOrUd5zumPz6hAoSe2BjnGqMqMOiKDIsYAZ3RYRUL KNAbBJ+n9C0U3hhUGidYq5l7Q7ifRTYJ7DcYsE8wN7sLZKsIgtu1b2NEwTvc u1Q35KGehG8M0i/LuXIA7S9NvWwSA/Z6wXH24IZMf9bGGl8osl5Lqq8NdaOO JF8vyG7unIu6YDepU9q4pP3qwn2o0f7mPtIe6OJyp+6TJy150sTBMxtr/J1m p24yfA8Zvpsda4Jd/DalrTrQiapgu5aFdaNNSN8ipM/TEa4/wTErNcQqSZ8T W2k7FmjVUkFEKwu0odzfhqO+VqktspDzTpR5W7TJbEaFr01FBVUiJvA388Zs 4dfXxtJC+m5ER7iZYN6B7nAL+rk8GJHIbiIbaFaZU4vGMZeY9GYKMRUKZLJ6 RRtzVRbw7owq3ywNGul8nPVoXHT69QQo1eljMFyj3uu90Tp0cbkjWIX2cC2a Q9VoCJ1QSUCNvwrVPonHVuWtsvDZdYI/ToXnmCzhuKeSyydwzHscx8jvUms7 Of64pxonfOKkfsJ3nOdc6TnOD12GSm8ZhzqOGl85qr0VFh6BxF7jO2aRzfyJ qv3l0sZSKoXNviMW1PlK5efzlKDOny0W1PqKZRdfMbuWoN5XijrvIWk+wJ+p nsBf5y1m82EtuhfBu957AA2+g7xOffu5dwM5nEto9BZIsZCj8+XfbpEQeXdy aZesodG/g33fYB8W3xYO8zrXWZPtG7075X7ybdF9pH8+6v27OW6+cehAkZyZ HJb7lbFNhSfcp9bTmrOMp9XC7R0sA6h1j3DbCGq846wdrJ1sd6HO4+cX5Q7x y6z2hHCCgFNJkJEiyydcfNtVOGY5MzzKN8RRx7yWMkdC14+75rRrLRmpwTeL luAcOkKGFlTQeYSQOzFr5MkybYslEJgoRjMW6mJ47ksa2abVEiCjIzTcuA0z 3yWL1XNGNtlsOK23Z+fj2YxlqpY0rfG5LHwh6kyhEnF7FnQZFp2rcP4SBSMF JuJ/F6cqXeGk2iaJfl7WpT1TMv36onNqiy2yAYlkMacP1XkVIwxpXLYh1eeK SGGI0GYWueFS/PAiQRiOzBqSBO4mxgejkTldnuQQk2xX6cGkWI1PKelpG7dP 60lPi025VTzDrSoIELya5kFElMBiMYwMHPG5JSJGEBECD5ERKFhMhwJz3bBC EEsHV2I+z5QsqPSAA3JNijZIlECu+kiaXpKklpgIJWSX01SwsCArSGZlBAZu GbhmUA8WFLFvN/AkgyCWBYPq3AWpTzozzc47dZqdu0iMkNHJnb6gjst9s7Ju URsywe/z/g9pwNvx9R4/fjwQwdWjEdw4HsSd02E8MhPFs444XnEb7gOb/XN4 nbVICURasMETz8U6T5zjr3XHsNpjlLWuhK6L0GC9RwJOGAKC11ziZTCLbb55 7PLNIZ83lEQOOBqcVy+DuvCsJItfHClAPL5UTpUxMehTYZYhFhhQFwMVBogA ID7Li647m1V+TvfJXPcqNOBPafbXgPuLIv0NyqUry2YsgWH1VxnRQAIiBZO7 aUzbJtW/RY1n+BOLT4HYHUxqzvkpjeFo5MpT4VuOJsvTZPSShUZGs5sWOjYV TM3oHk4JRpGUpPTS5ktmMjpkUifmLjI8MMJwmIIClRNoZsWFB4NZmxfjEpP9 TbGhYa8gwqxUyrBYyNowZFwSTjVXiKXNsZZkJANYiCmo9kiahVGeYLkLjgoZ EQGf6ov7y7LErcg4Jkgwgg0bN+O1za+bcoJZjWaQ5jU6q37gGTeHeGrelCwY 5gpqBpE2xA+ZW2nWeGbqSGecYgYxqzKXzH236A5clpW0yXCSu6xq+FUNKzBn 0qp5ChaTgReFOVhE8wuDvtnyIPdk2LVkhH9YSBp58rbck+Dbcgorn77A0Qu9 FgdGsKgNhOERpCELTblFMqvyf9Mp5p1yjJOlGrnZU1PriKWLnkfmyWcELAv2 DyfJQI1Bb8kOKpYOkkhbQs/f+eQaPNhsw1ggAA+JUEBbE3F5I2jnU+Yo37+H CNP7lSJT2G9LYScJ8skO4IX2eRwfj6HTGiZFhGEPxuEh+Yn7lUhC5I16eCiC pSt6cNY9Ppz5txjWlAbVgFzU2YFgTJJ+45H6edxQCFyxCfjTjiSsMx5N5O3w GPYL0kfAWONj6sMzpYnOM04Z+lPKN51OIpggaD8FnPuwYcffMhZRocHXHkvi a8/zGFvSuGHnHCq6grj8wXlcdGsK335gHh+7Dbr8kTvS+Bjh/zP/SeLz3Ody jvUzEu3fd88R/pM41pfAhCuCQCwCXyiqwTdv3jOv535fEzQZ3KWPGN73H7oF 2FzqwbTosCWBmsev/UVYECDwh2JRxBJx47PNzVqE/HO28mPOqwhpdj6h6eh2 Tabxz6ME65eT2DmWwlpC8ufumVM7+u2VYbzjqhRODITgDvoJZRGUe+bUPr7A JUYFKWyZTGHreFqd8GW24QlG9BRW7g2rTOLj96ZxX8EsXmyfw2b2qbLH0Mev +gRfRM+UhfA/T6bxjReA7z2ZwpceSOOnTyZR1hXB37cCX3kCeLEirXnIxH7f E1qw4S+fiWPzRBJ7rEkU8xIadnkJwVasbgljeT3wUldSJn6cs6fR4gplAVng WMaKzIZZQipM8CUCnCuE8PrwLDaMAeV2YHLGhhH7KPZ1zuBnZfP4SRmnh5Mc I2BD0+gwygjBG4vL8NSRKjxwsAL/3lmE371RhNtaU3isMYnfVgDfHQJuGnXj D9VunLvXj/MPTfOy2I5PX/EKLrumENc/dByvFQ3gyk0J/Gl1EP2Tg/jwzgq8 77lCLN8wjlu3DOFz63bg+/tbsWqAAD05ZLrYT2GKE2C7bxqOEOuwi/UMbxE3 tztxsLINtz50CJ/46iosu2A53n7ecnzoCytx7V2bsaOkGc3WCTxZ24TL9nbg yr3NuPzwGD7W5sGHS/txzqN78JnfvoDf/fkFfPtnT+NjX16JD3z2QXzpV2tw 02ONuO3lQTywqQerD/aioLEHLVN9Cvbd1iF0zPSjw9aHVkc/Ou39aLf3ocXZ jy6WFkcXOh0DaHMOoMPZZ0G7o5dv6Xbyfod7CO1k/i7/IAv5PTCCrpAEnusM D/Mh3hEaUuV+K/leFOqqRI8MGixuoLzUBl0bNF4X7NXC5WWywAeX8K5wsKxZ TPQ2uvXJNu5IlM7TxVyl6qoAAVg38L9FNlgEermuW0JdWgjPFuFoi/Y9HZX+ rsyeWmfWzdoiC6I275DBOvkuy3QQnj5ONpd11aP727nekeFuf6tFVkkzASHw CpL5MfZg4VZCNN9esi5IXe7v0CKtFpR7Ww32XoojBKoj5G0txPQSfwtKfG1L UeyVwOkl3maUepoF0bkfOxObBdMr2K0q0GzieZOieUuoGW3hJsXznkirBofr I3EPRltITW0C5qpnn4gbavnxRJsmFZtKSMJsMaf/gBEJPG7ieKKOpUGTism6 JBkbi9YrmkuE9KFYLQGlVoPN9bB0EdEFy1vFzj5UT96sMbG8GpUsx301/PyV fFxVocx1Ake8lfxsUqql5jkUuytyPohiVzlKXMdR4q5Aicfs563AUW85jnpY k9DLXdUoI8mXe0+g3G1uI6+We8pwzHMUFV4pFcayp5jt5SxHdP2Yt4S/yxGe SzG3Hdb1E55SFtbE8OPS5ioRScJhXhbeA/yVPQcldTR5/LinCFXuIpJtIao8 BTxpLuWcjWpCeZVnr7TxQ+8hDOdzC2v3LqLsTm7fjhrfDn4ZO7h9py7X+LZx 2zb23WmRDiI4cO9BFTlfh/DvYbO7WA5xgBP6Gnc5TrhPqISikt9blaeBtNzC c+V15+5HhXuM6xNal7sn+R2JzX2508P7tczlY4mgzB3S+qgzxjqBUlL3EWeC 33kChx18Ix2aSfA0DtrjssR6VooFB2yxnPdxThBDoS2KQmsIB6ZD2foQ62LO CUptIRxzRFDrCqPJE0WHL4HeQJxXyyymYnE4EgkFdIHziDmrnEcmalRauYlw lLHrzgYZyk4qkdWtydxbnMJlKAmepybFYm68TKUCQheqaDdsoRVSRIog+bpb Q3OS+XuJ2B2IqQahti0gtC2iBtnITuKOERJmlSjmpPdMyVWIz0Uvx+klbfep Q3W/EiuRnffCrKK7AnyusLrG75zDCOle8FzqERLSqFARV8Qoy6T0TDFU/5M6 pij/hdBZxBxAcpEbmB4VYjfZPVusGmPdJnIIe1RCq88QRYTIM0WI3RmfgyM2 K6H+4nMWaRIfgHgq00FQXjaoCYAukdnZIyq7uPlqlhmfcLpHZAK+eMYOQPA8 k3MuyzSLVJsmPijALMmEMVxQ70vLqYbTWa3/KQbWlgVf6NyT9I5vZeCc+xaq v2WnaPPThi/ImzT8unbG/4bz3zNx/lx8sN2P97f78B6W97b5cEFbABez/lSH H1/uCeFHfUH8ajCEP4+Hcfd0BI/xRnrGGcUrvA3XKe7PE/XnsFWwX6L/sbzK yThpX7mefM/zI+3nvAuruW0N+2ntiirni3HBelNMsIU33Q7/gkHAEXExIPPX 8JLNuBh0xDMGAPxle+K8qnoVlyWEgCjwB9RYQLj/bWoYkDEAkO2mO4IhIwgb civhfPEz6EvMCetnRFeDhsxOTF3iZgDBpSImU5lWJuHesFoBqOWMaRkgnoQp FfJJyaTik+vf9D0wmd+SsRFIq6GARrywqG3Asoztizq2ZNJQiABP0zKaUSHJ 8adrwsRc08MHumYx+D+UTC02D4gkM6AfSWbzV5hAnwF9NR1YZi5miN4IJBjX fIpGAoHkSbp+S9YvQcQHEmVyPpm92o14hbNps8PSTChDrWUADQSazoYkNHgc kkswx0gUmIuYwLa6OIjDxUK/DKcvMT0N4rzkDXcHU/8ofJ+UQ8wbNy4MptW7 0wT4hRs469aQd8oNO68Ssf/lJtYoKaduzQpiT5EgqMwW2SCnJ5v9nLYoJl1m mPQi26H5rOvGyZFBFiK0LNgJLER8NOvFlkVmooQ3mxSkF9s9vNXWJUYkxpOF juZRTrGrMA54pmEnMhdHZV0Lfv3SPlRE4vD6QsQmH/q8Uc4V5jlXUn0vD77f hpyr+JZOcx6QQq07rbblz3anNPa4kqjXTN4eM1TP8l3J21d+y39X+PDulX04 624X/uv2Waw/5oPD6TX0qES8EN/gu3uTGu/8RxuB63fPayw4oW0hd/FA8Idj CMcTiM3NLsS5NPXYGeuIlPlCaJiYwzmPzeOCx1O4ahsfBJN+jUH3nRXAp+5P KoX/4nVoArjPPgDc/loMA2MuYp4PLxWGcd3qOTXX/+Q/DG/6D/8zRZJPk+RF L53G5c8AP1mbwm07UthcM489TbO4Yn0KV+cDDzSl8estKXz0X2l8+6E0Pvp3 4FHRgTus4vSuMe1cZgrzDL2LfpsEb5HgcjkbEOXXJ+rpCIvU06FZvDqUwD1l wI7uOU4vU/jyfSks/U4K37hnFt/haX2J5O0JRjX0nzvk1p9xhD9nDZ/dxST4 /U7DcX/rlPx0wFE+slr4PJfQ9qsOhjXs/jU7gZfHU6iz+tEemEUR+/9tzxy+ 8LiRj07C//3s6QTWl4Ux6QoimCDF8l3z7aeArz+TIhXGDFV90KMBANwB0qrf xUncPDZMGm4JxfYk9o9HsXowjbsqgcfr0xqvoYOX3DhJVULcibG+y+/U3Gvu qJeXFMeLBOCKuGH1u/FqRxyrBknurjnUjNtROWjDV/cDn1ljw/fu2oaf/eNl fPh3/8F5NzyDC+94FR9dUYjLXijB9x/Jx5UvleBrLaO4dySJJ/lTfe84P9P+ drx6rB7XPl6Ii28oxUd2x/GeQg/Of7IbLx8ex5EWK9ZXTOOagnl89RHgimfC eM+qdpxxezG+f+sIVu+z4vf5R3DV2mJ0TgxjcHoYAyz9M6Mk9HGNgDfusWFa zAW8Vkz6rBj3s3ZPqzd979QAihu68LU/bcX/98mXkfc/m3DGZfl4x2d24Qu/ OISv3lKJL113HF+8vhYfubkD/31DLy56dBTnvjSOsx/rwdvvPIGLbynDT+/t wUevHoTlux1423d7cf4PenDeFT248CfduOTXPbj0xk5ccU8nrnuij1TfjW2V nWiydeWifaY/573odJLIWQTam+3daJrpRYOtHQ2uLjQ6e7RucrHN3Y1GTw/q vWRsH2s/0dvfQ6ogCPu6MrpmhWIFZ4VsxWFuyjUxezE2VwU7T5OFnNzFJM0H L//nCifnEas6dSkXx4LicM51li42dfPxxDUOKZisKGzU2iy4LH7i0j+Lyrrd QOejPkFq7S2LS8jDbSj1t5qlXfCZQ3PJgOQ85WkidKYQbMjTS3CAq0WeFhSR qw8QvQu9orLe75HsYlzGPneTrGkp8goXH/Q0WnDY20TGO+Jr4iGacYzgfYLQ XR1oRH2wkQjRRPhuJDc0oFMcz6NN6oA+GGtSHbb4p0/EGw1b96WGJ7tEmEsY RXk80aIW8rma/PtcI6l33ChjHEqYe5isPii8zfWuWB06YtVoC1WhIVhrGLgH alHlryHPVpJ9ydRsO0w+PkzePuSuxEFXFYrI1UWuChQ6JTzcfle5/JPwcIVu Y4MW91F+brcEaT/oLsMBNh10H+M3UYrDbvFUP+yScO7FZO1D5GnW0uYWxXex qxRHXIdZSlDiPGJBqbtYpBxs4hLKiNhlLtauI1yXza6DQqfOAyTTQzjqOqil wrWfXfbiqLuAj4+9JNoCkvteXiXufLmCCMnHyNUVHik7ctl/Oy8j946c97Pb NpY3ZE37HPfs5Hq+DnnMfUCHOsozOOouYSnlCVTwRKtZ6niW9Shx1+Kws4sw 3Kv1IVc3yyiKnGP80iZYu1AoXlhFDjc/2H6Hn80hvnMj2Efy3e+Mo8Aet/Df rPyL8zvMt3MyPjPLOsYSkZrfF1v5UfbY4tg1HcUOlu3WsEUW+M8a5p2+wxrk wziAfFtYS8FUAPunwiiaCvJhHUDJdADlrI/bfKiyh1BPCm9xhNHtjmKA9C0m e9YgOY0Tc3HAFmdrmU+kNY48jNjAKTNTd2Y15z3ZeZRGw04vZGnzmnpvceeV GbhM3GWWLyDQJmHIJZEYab+GL6UqAkcl4eME5yeV/qTUFk5WZsVsYo7fW01g HrXE7Xo/92O/RvZvDM7mij8Av7KmYIIkPr+oCFK0B0krnaF5i0HiPdrYE06Q tYkmYSFkU23OMxHEYJ1jUQiX9BmzGQjPkbwDswZ+LzWonKefwXCpx8NzEuxk ztSRT7KJRe5dNdyfjpDIeQwWYfSwoLYY4E/zGLaIUQjgGcN80UPqWPZoQtBb qJp7CFEvUYW4k+O7eGhnJAFXOCEm+RF+Fx4VD/gM9/psLPus6lsjnFsW+UGb TGAghgkTi9SG4gjBPYkDGgHdVP4taBIzE/NzzBnzohlqzsKk9HRzYrsoYJah HX9zCL0F+/jT/98IfXF7UDH6w+0BXNLuxYc7fLi4w4sLO/04v9OH84jSGbx+ L5fPZ59PsM9lPUF8uy+EnxKvrx0N47apCP7DO23lTBzPEa9Fmy6ILUpxi1je 57zPDM43R7SeVTt7UaELTku9xjlLLE9glctAbEHw9SyqkfeKOn0We1j2+40U ekc57VN7e15CjbwuWiU/fXtMlMqdZqa8HrXe6NU2IWlx0je06PI/z1hPpM0I fUkN8SddtSmtNvt5guGS8CM2n1Gqay0B/ETGJRb3YjwypNb5C3n1MoC9SNOu enYBbTN2/2nqxm+q1bOu/SZi56gxPvtk0FvqxctW9QaxZ+JKGnH75+WCIXVL EMjk4sgcac2QSK4xWdtIzGCa6UhI/0wttG1uz7GYjJ5NvGh495h4vsQ011+s XFcrf90zIofUe4VL2dSThoQqWxbdUWZ+gAVCNzbkLU4AmIkKIlydbV6mCJVJ FCFYZeRzNB6jUROXE+nkWyUP+F8t/Y22/zIiD6ay8rMsAs+Z6GZEMEiaunMT zZEx6M9EJXjz+Jm2xQK3BQh9e3YpE+VAjmGEKUyZEQ2WZCMazC0ckw+E/4Xo cxdL7hYFN8w5VWrwf7ap1CDvLSQEuaaNgYwsYpRIYha3P7UBLw56MBUIotU7 h6OOlIY/32fnBbTXipyP4ZDDwBuxmYrxLTnEq3XrKPBUF3BgbFYxTSjYHw6p AXicN4jopuVn4CL+WWrHOSsHcc49XrzzDj4jan2wu4h3HjfpMYIAn/v7SM7X 7E0rzf5ySxqNY0GNti79xMhenNUjMUPvPTebzuq+5Rhx/frkp/qsXnlbGufw 3oeBS55I49b9KRK4nwjnw5UvzuET/wZWlc/hzsJ5/JTHkujyTxaFMSV6fqcT LqcPVq8HI/YAjraH8EJRAtevnseXlqc1evwlt5Km/wl87G5S+EPApY+n8eWn gW++SpKuAO6vSilGSgy75du9us9/tkdgc7vh9Pr0M8v3JTYFQs+ipBZE9EVC 8Ec5wwnEIjl7SaAxDfAvzeL4/mxHCvfXgZNWDneEpHxbHMvXR3HJtUm87edp nHtVCi8XzmLGH+JwYQ1vYA84+NUFMOr1oo6P7iP8GYtmgF12KD3v5PKeqVm8 0RrGioo5PNgI/HE3sKEhjiY+l/9xOIVPPQj86JEEPnF7Cte9nMCEzUgH7gh7 EZ6NKtmvKJ7XwPy356f5UwY16ZmkJZuRRHQkxnGnA/nTSWydBraN8+cZS+Hg ZALPNyWxYxioccU1CPzo9CTGbZNqHmAjPQt1O0ISZN9ppCR3zWDS48BztXx9 8XI56EpjTW8C3yiYw4X/GcHHrnwVX/zNM/jIzx7FB3/8HM7//ou46Lsv4vNX rsVH/vQyzvnLRnzwn/tw01EfbjsRwV9J7j/dH8Npv96LM765DWdecRQ/eLgf fzowjx8c5sv3YBp/LAHuPpHGypYUVrYBfz+UxM9fSeOyJ1L4yF1RXPyXOVz6 xzm8UtGNn+zYiYc3VJOEBzFgHcKA1LZhCS2HEc6NR12TGPFMKi1PeCYw6JpA zVA/7lxbiUv/Woyzf1OOZb/twGk3jOGsW4ax7Jp+nHfNMArqJ3CwbRLFLZOo H5lEp30Ux0YnsJy/7Xcc8/jkKKcGlT341b5WfHZ5GyzfGsIv7u3Hi3tGcfMz Xfjl8n5862/9+Ozve/GBn/bjwu914uIf9+KCn5Kur+jGxb/uxrduqsUrB+pR Q4pvcHWi1kEUtrfi+FQLjtmacHS6EeVTzThqb0AZ24/a2eZoRrmzBUedhLNy V6vwhyp1Pe0o97YLsyqhisLXZF9CKx9YGXyVtTMMbC0LSJhzQVUumWtvbtN+ uTjilzRTJN0M2xo1S4moiTM1+bVUdNAG8Yrm+BTilebDvtaTmw/72vJ02xIl YCHhTClULfN+TzO3CQkXsC3f3Yi9HhafxELfLTS829VATNjtrsceT4NuLPA2 YJ+nXpAZh3wNKPY1oox1OYuQcqW/CTWk5IZQE5rCjWiPGJQsKuqBiBFYXSh5 NN4kKdCaZVISbzScys24b1ZdlrYGmXMnGnM+aFCyaKZZRDMtnuNCyKKV7o3W oCdSzdlTNVojYixey8PXoDpYjRP+an67BiEXk5QPeqoJvpUoZNnnOI58ll32 Cux0HMMeRyV2Obk+U47dDqNtJ+t8Rzn2zBxlexlhzlnGU5bVfOcRFDiklGOf s5RAWMohi/nVsVW+Vm7b7ywx61LypMBzoaOEH0raC53FUrh2wCH/D7HfIedh liL2k/9vQ7FzH0F7L7l0Lzm1QJeLXXvIsCyuXcTzHax34oh7Nyl7h0Uac87C ESebXNtR7NitXY84WIjIh2cOcZcDZPkCfgslJFuyvoNs7xSr+P2Oel5F+2bq SaxN5NV27Lb38Bqw9/ES3TUzwi9qkmWaX4oV22fs2G7z4w1bEG/Y/dhijbCO WbDVFuWkQFa32mJ4w5rgw3IWr9ui2GLjMssWK6n5dWucB+Oi5mw1azZPR3I+ gs3TMWyaDmHjVIh1GK9x+TXO9tdPhvEqufjViZAuy/YNkwFssIaxmctvkJd3 st49HUTBtB8HRVtNDj9Kpi5nXTkTQu1MEE32IDpYesjSfVwfngnzkcY3pyem LmrOQAzeAF8JnGeLJd38bFLc6HJNgBbP8swS6R1YCH+s8aZNfVGGpB1zRqQ3 UXVJiDuZxYtqrZ0sKIG/m0JzqCMG15Kma/3zag9f7Z0Xib8YHfhlhl/Ntjqf 0afGn9D+dUGhcHG5ZovY2ARMEvfPqs3KLK8E7s2S4Fhx3U+oXfatCcazyw2B BOk8jkbDUZ/7NgdmVUeea6rLOziy5FphEXV5UGC1i0fqIRVJ6eUn6FVVukHq JHTVkfeHhMD5X0FdEgEmLELhSwTDLRgL8R8BXNSA5OiJsFHI3xZZECSPzJ2C 36djiugs+G0NJxS/T6ktsiC6cZPM7WEhLLvKDGw8z5lQIlMscARjRBRnKC4w Dl84zrf+LML82SOJeZ0gzs6lDdVJKmMFbsxUFwUMzJqnnxyuPKJuyGbEskz7 SbnKTJWhUkieqRbMEHxm7r6QCvCteCHPnIdn1XOW7KT5rcKVnWQf/xZWqvMw oP+tFOSnmr8ba2mJ6/X/IP6luKAjgItUUW7UF3WGRApgkQY+3AX+L27z4JLO oAoFpNsHOoK4kMvni769JYBzW314X7sICAL4EIf7VKcXX+324Xv9AfxyKIDr J0TfHsNjfPC8MBNVwBfwF4GAmNZv8c6p3l2c6VWPzvaMAEDgf5WLD6VV7igR bJXHULvL7uKPL7tv5/231zeHA7wTRBZQzouykqWKl01TdB7NvJ/FvF7U7R1x AeWuuKQ+NDLsGdYpAv9iPt8XTxoygmUqM1iwrF+oM+0qU4hrFgAznJ8hV9Dh 1GxEzO2XqnBgKJ5aCOtnCAIku05StfEWjGiuxYx0wLDAV4X7pGjkJzSqn6GM z4oGzG0S8S/XSOXHdrta5EvqvtOzvveC/n7+7OKOIyH9JB5HYD6Va4bnCJjo n9HIC/YHkskluvlk2s+V/6qRNy3yQwLzhq1+aJHl/umqmz8tKwNYkAeYMTzn U8YNqUp8I6zgsqw50eKbMiY57FKGJb2mGZTsBQb+Z5JzmDdq5t49WWaQuXeN rWdlDWAyen+1qU8twPuCTCGZaTPcBnKNUdh2puEuMJs2DQlyTYnC4sSgS7N5 CxYPvEjOl0lhYKzxv7HfssVPFuNpkpEuJBdZ6KSR8Z2agxkWMZXNivi/P5CU 1PNOMvnJlPQ7so+m3Kwdg0WHe8vgHzLGe7NHUAsJPqmis3Oo7xzC1es4gUom ObeDgqBowgtYF1qTqHABvcEU+LpUZs8Yk7XxEt1ISHuS8FM2IUnhnX5/zo/h CYU0C3o4Oa/HkGNG+evcWGTD2U+O4cx/hvC+uxIoahaG9yrz+gMRBduNHfP4 Y4Fhjy4h6bc1xWHz+pX3JXa8hsuXRPRzc+osYohv0kYMNTP6gUSrkSvkP6VJ vJOQ+jEC6PLiOUNm4HHh5s0J/Pc9KTx9eI4AGsJ1242geVduTaGwLaTqWYc3 oAwummxXIKAsLgbbo/YoTvTwMcfxrnslha/dl8LH/m7Yw3+WvP/LN6Cx19S2 /WHgz6vCKKxz46P/SOHxnQmO5TMY3y8yDr/c+T6PGJT5vbrNPE6ugH/O1+AL BXWThJR7aSSJ3fxZtg8A331wFg09PjVMaOxL4FM38gL/+hzOuZIfZTknF8NB crhfw8OJfbn0E2ae4KFbvDFOXtM4YIMmd9vDsps/cb4jhbtL0/j4v1J4lT/p 7rE0vvRoCs/u9+P2TSH8z73zqOt3Y9JlMLdHnOFjPgTiAUxzgveTF1Nq417U Febb3whdN+O0q6P5tGMK9TYvp6vAG9Np5fpRrwd1fNK90gm8VBtVrfKoVSKn jVpHc27FxIyZfm1mWhO1SUq2cfu42rE/U+/E8mbDUf+VceCzZbO4a/1RVLd1 oLaTjNrRherOLrQO9qNnrA9PFR7HJxvb8G1eww/wc61uieLZBhd+XwFcf3ge 31gXwc93An/l57+fTP94HfBiB7BjjOfL71zOey33Ey3/y8Np/LzEhyuLvPh7 URJX56fwkxeAS6514rKHqvGt+/ejsrsb3RP96JrqVebvnh7EoH0EQyz97nE0 jo5gY0kbfrS8DOf8tgRn/LYFS/4wiLddP4FP3W/HisM27O+bwRce7cWy63tw 6W3jaLHaOa2zaby6gcAUBrxj6HEPo84zjhXc9k1HEJc67Dj7wX5Yvt6DW/ZW 4sREL1odvWi2G3XTdAdK+9ux6kgXfvhcA/7r8SK8c+VBnHlHESyf3ArLRVvx 6av24K6Nh7G+vgr5/SdwYJqYN1GN/RNVKJysZqnBAWsl22t5DdWJyatwzqGZ BiJVo5YSV7MFxZ4WvlZKvK1ZTj8JyVkTxS1K7LkmlWtR220x8BbuLjG66bLy uL8tVxb4ICWI41CgDQf93ORpkU1CfYruBz3NWUTnskUWuLHI0Fsrp1uE2S2q xj7bVFwrxiu6F3hasdfdom2GYruZtN6kSJ/Peg/rXe4GbGe9w0Py5kIe3iDd v5vrDbpNCL/A1YBC1ge99ThM0j/iN8i+IlCPKlMH3hpuQmdEiL5ZqX6QhD8c Mahe4sQR0XMMBfhpmIo2qM+3YWzepFg/PdtkGqJPJBokuXptzvtU+z1Mls8w vfJ8uEqdwMXSvClYQ1ap0XBvYmEuluUlLAfcJ1ShLSy/e0Z4/QS2c/kNLm+1 H8frM8ex2X7Mgk22CoFO/ttiO5ZzBhvLscVeSmYt491Siu3OMmyzH8EOWxm2 24+yFpLfZS/hNbHNXkzeLcEeRymxuERaicjF2Gs/JLUF+TMHc97BTYfZdJAP pv2k6ANsLcKemX0osBfx/Fg781Hg2IVCRz72OXez3sn31g6WXTwUWzgV5jIK 7bt0m/Z3FnBf9if87+V4+ST4vTx0Pk97l62apY6nU0kUryJrt/Azd/J0m7DZ 2k4qHsBG2xA28EG10TqCdVM2rJucITnP4NVpK9ZO+LF60ofVVidWTfmxajLK EsaaSWL8qok4yUibJuJaVk9ypjwV0zZZznRfPRGVXfgR1k2Gcr7AYdlGWF9D EF89KYcIYtV4CK9MRPCylMkQXpoI4qWxAF4eD7ME8cKYFy+OB3T7SzwtadNt oyGsHffhNe6/kfu8zuNtm46ggGPvI+QX2UI4TLgvs4dxzB5QuK8n5Hc4Iuhy hNHnCGHAEVUXtqEZvg65fcIewTT7WPn8sTmjcLgj8HrjCBKVI6S/GOcKKU5k 0ylJz5I0Mrm9U339Mn8pczomOixReRm6ciP8uxi9inOsQfhJDXfXEEgquQuN n1CqP+YT6q0g5R8lZZQbtQWlXlE9l/MtU8Fxj7Ec98+rap04T6YPzIlAIMGn iajeZUgRCpiqdXGs8Qs1q5qdh2ryzRkwzzaB+wZf3BQY8H9WauCb0/Oq8skG DidhCkxdvVESoq/XAYxwfvE8jim7trKpjefQFhRf5PZQQpMgJNAZms3UeegO ijV5L4lbLOalcFmFApI8k70GWAa5xxBxajAkodGGwvIJh7mLaOulljIalFZD ZmD84zATQVL8pAgYpnXAyUCUS3FMcVAtfhnQGpSvwBqc44s/AZtf9MNWX5yz das/CpsvyslGDDOBOFzBONw8mDciSWvmEE4ks6HrzVhZBgmbxhRpLI7MpTac MkvNBBBbSFqWzkJHJtLYQiyxk6UH2TDmS0zpwGLfXxUQLHmL6ff/YXebcZHP Wwg2ftqbYu+nF9nW5xq9M37wGY/4dHoB8BeWlpwM/V81of90XNjiz0L/B1p8 +ECbFx/o9OPCDh8uavVaxHQ+522GTKDV6CpWARd3+LUWAUDGUkCAX5YvbA9Y cH6r34L3tfj5GhShgLR/rCOEz3cF8I3eAK7oD+G3o0H8aSyiFgL326J4wpHA S+6YOs9Lij4h+w1u3kubPHJxCuS/6prHWtccVjt4Qa1y8fpa44znvN3wt/ca mf5EfrCNs9E9vC0KWQybe0MQUB2ZRwPpvSmudvdiGKBOJXGD+XsTAvOz4k1P 0DNc7wX2RQZo2ABI+r4l2Vh9ss0UAqgLvtCstIulQNa8wJAI5J1kIjAk1vGD Guxx2BQGDKsVAP+rcX6esH+eYYefsQzIzQbjk7itZho/cabXGP6i5F9yEuub qv6TfOrFPUfWtC1PON+IxLdEpQEZ/DclA7w8FiJ3ZrZl8mqG5dIXYcDpmobD COKXNdrP3j+m6X5anfh5K4tHim6DkRUknDRTeQjY83pXs341cuJzPq19cxYl HViyWEyXvTnNRAMxuR+k1xmq4M/IDGQ5akoD5Clhhh7JyV1kfrB4xJgq56Nq 3h9bECwszmCwdMFH4IyTtmXSE2ZDDaYXSSAWch7mmt4Daj9w8tALJgxLF8SM qZMECKfIIE4JV5g5ZEacYMondMl0g8h0ebvxWUSE8D96ILGREHi/85UdWDPq xwn+TAWkof0klYM2vh49KZXqSviV2cwT0rRpEDlsgxea/eupjjSqOPNweIU0 SYzBsMpsxUMsk/9Fvurf5FvxjpVDOPPuCM6/J46yTlLfjIsPeb8CfzjCx0Fr EjccSJGK0vgh4f2h4himPUZUPFFwuwn5vlhCzdyjs8kFK6vM157zST1HsT+4 dmcK73ogiS88TzqsjhHKfXqs5Xvm1E77uo1zsPuCmlZd7LdFWPCTzSnkt4ZV 0+0OhPW8nCG/QrVAvJM07YkaDun+RJzrszgxmMC92+bxdcL8HwqAB1tS+M6q FM65Drj4r0l8/cEkLr4Z+PbyNPLrY6TRMMcjXQcDQuYGv+dm+Z2HEzkI/38X MwRkCQYoydKeLw5jTwioi6dxz840iutmNLqanJY3FkZBTQzv/x3wlb/M49xf pfChP6awviyq8C6yAlGYi8O3ZmDn8iS/0lYfJ2ozcyhy8ieXHHWcKT1bEcdN r6exayiFXzybRHmPD2Mzdnzh33O4ZeOsOlwLSNvdNli9Dh3fG/fxHDgZrIvi KyvS+NXaOVjZLk7ZU+wrIN7gDhKEjBwIJzjBK3FzmhJKo3Aqhav3Ab/YkkLT yIQqtvsmB9U8nBiPQVFyE9iHJof4GCXd34Ate6vwo0c7cXN1Ei8N8or1ABtH bOga6Sar96JrtBd940PcZRCl3R24MTKMzyUD+GkkhQcH+LV0B1E9PIpneuJY 0Qes6gbWjQBbJ42AeRJfUYL4SciF6wpC+MU6K761yY2PFkXxvROzuKt5Fh/c WIevHazElpZxXHRNHX6f78PN+5N4/1VxnPnjRqzYXo6usR50srRN9KgfePf0 APbUdeIvL5fjozeQmX9ThaW/bcdpfxrDe/42hWtX2bC73Y7R8Aym4nZMxmbQ 7rLhi4/3YNl1XTjvD/0o6Z3gHGwaQ4Fp9PnG0OEdRpe7D13eETS5hnGf1YVl V03gbTeO45LGZnyxcg/+XXMIRRMtKJ2sx7qmevy+sggf2rEP52/bivN3bcdX i/Pxn6ZD+PGD+cg99xXkfnoLLrm9AD98OR+/eGQv7txwGKuqjmDXeBV2jh7F 3rGjyJ+sxN6pKr6d9k5Xy/+pKuxhWz7rAmst6WmmLmcZCp0NJMImxWnB7ULP wnLGDpz4nSsLBkqfZmrDjbLP16xovY+YTIxeZC9uYLZqx1mI06Lm5f6nK2Lv WVQW4/ZuT2Ou8DVvuJ2uem1i4do2d6NF8ft0vOGuw1ZXrZbNPP/X2XGrs17b t7vrVRGf8y7s8ZLqSeQHSOMlQuXBeuJAHWpCNWiK1KE1Uo/OaD16SNy9kQZC tBFVbThuuHGLe3fG3XsqWi8m6HIi4vFteIbXK7QTyInixJ2RmBGefSBSg/5w dTYim6RLkyhsCuKBKhzznyCrHOdXfIJf9XGF8b3O46o830YIJ4Bz4I3Wck71 NliP4VVrhVmOYt10GUs5SfEoXrOWYv30kWy9wVaWS3It5b420ZhvIpu/bpMi uvIt/H8mYbeE7H6ADF/Eej+PV8TlQsJwEbbZCsjwe7GT23baJR/5zpk9OR/h cgH5fi92OPYQnHdit20ntlvZNrNH27fYDnGsQmzhODts+/A6z2Uzz1PqTbZS nl891tvq8RqBe6O1Bq9OtJF4e7Fmupulk0TcT4IdxYsTk3h5ehQvTFjxzKgD z4zZ8ez4DJ6acOHJCR+eJO2uJOU+PhJgCVmwciTMq+GJ0QhLjGtRY3kshCfH ZmWr1LnSyM//1FgYT48EOXKIn0z+5/J/WJZ4FHmkPzUeyHkHniYzPyVDkKWl yH5PcnL8JPtJ/QSPvmLEj5WjRr2CTP44384rhmSMlcOBnAu079MjITwvOTpH RK7r5ycOYv1YEJsnQthGJt89abiIl5DHS20BVNqCqLGHUEcuF0P1dlcU3c4I +lgPuCIYcpPJ3WGMuEN8vIcxwT7j5PcJ8vmUXT7TlD2Yc5Fyuo372V1hvpFj fEvG4A3FFM3ECznIN69qk9LGpFRU7XYze/VwAqp664imNMd2nYTL9seVqsnZ OMIZfbEngYNuKXwt8RVRRAoocqVwyBnHAdEIciPnYcXcdIST/zLWZbo8q0Mo txMOjiloH/Pw9znuFbAXYj9OMpdCsBaffyFQ0cJXG5p4Q2svwB3jdEzU7xIC T0qjd1Yz6TbJ5kaFfQmd3yzh80VDLxyu+7MzxxRWVyGAV86hTvOU1XozbUY/ 8U1o5HGbvXF1MjOKGGC0+uKS5DAh2QhnRV/pn0M3GXmhxNAT5BfRI6p74nqe 8LoY2XMuouQeiMka/y/BEEF6hBA9TJiWekx7jga4+7gKDMalkRsnAyIw4P9c AXQ+d/gl/JcsyhKmPFEt0yxWb0xrmyeCGW7zkM9FTS8XgKjojXTwiz1E04Zh RibfW0ZVrU6juVlgNQMzz2UnrqYS0Zie5xk2xLE0FsXyMtOIL8y3M3o5k9mX LCjZDDRfiI6VdXg/OZ93JqrVIjDPXQzmBoifErYumc2AlzZ3P/3k/PULZvin Zan8cpPKlyiFn09slnJBmx/ntXh5GK7lnIvz2zwGpbd51af9onaT2onnF5t+ 7hlEJ8Ertn+Q+C3rQvUynuyT3ZfbxT+exI73i/6ex7Lgvc2enE/gvDbDAeDS Lj++Tmz/0WAYvxsO4Y98ytw2EcVyaxyP2mN4ztTPC4OLf7zo7jeafvMaTN/U 8a/lHZvR50stbbKPpOcTX/mMEj9j0H84OK/sfoxPBmH3RsJ1C6G7VRX5RqD8 LhPAcxXAlxj+8Lwo5IkipT0iYE2E19SsyUyb7Jux7O9ccKHPyTXT9IlrveFm P2dQfK+o2vs0bp6p2Ddz9i3O2ycGMMR34fqMO32G63NUzy9IL0VuOYmqP6L+ 9aPm01DU+ln/+tM0kqXE2peHpQTWN435JR2kJIKYF8t9kWyK/ZJHkm2YjvXe RQ72C20L0fUyFgBGJP4F6YBpApBj6PyXaW7Nk7jfkAtoGonMujoRiLDgzKzq P7QgIljkJWMQnzoUZEwI+CpVl33eAJKBMqx953VYU34gVgXpvEVWOpno/xlH Aj73w2ZTZrPumkyrP4DZbogQ+I1Km8CgbjfhNWOJcKqIb0Hsl3eSJwP3O+2U ZnNTJjHim2wPTFsiOWJMjfSjSt9i6ZAJUDhrWDUY60kDkyOS6t1cjqXNo88b Sv9FcoTcbBSWuJpbnCRqEClDGotPKWPcoH0M36S87KGzVhTZWIh52ZyMZsns slgqkX3a3qAjiZildWAEd+w8jjq+4SXhXRlLN58NnvAswglD0qNZGQxWN5T6 8l3Oq1EdXhsGnu4CWqbDsLm8KkdQ4/1wApG5RDajgxzrOzsm8V8rRvCO2wP4 0L2zqB/wYNrhUcN6XzDGl9Esnm2ax41FwNr6hOaj/9OuFMacfh1bAsMJ37si MZUlhObndHz58vXjpVLZyysUJ9evBd7zEPCll4E3msKwe8Tl3o815XP4xH3A r15IEVLDuPy+OVz+gASvS6osQZwNdraT9SOizQ7BHY6q/MAlxya0K/+zTbZ7 o3ECdBQ7G2P47oY0bq0A7qkEPvBXXkG/jOFdNyXxvuuTeNuv0zjrN8DFNxD0 /53Ef7bHUdkXFsFBTkaQMBPwcmyfFGnj/10EftG62/DK/gBu2pvGvgDQwXfg zjrO9hw2TLnthuwm5IcjEsGv+Xm/+NckDtTH8IGrgHf9ErjuKcK/zQ2bz2n4 aXvcGlVffLQnHZMYtU/qjG77aBq/XQ08UM7fkw/W/fxtP/W3NFbsjuK65+fw lUf4m/e7NGrbhJ3FKT7fNhVm2AIu/i4eFXxc+1oKl61I46XSCCZ4DPETr/UE sded4jU2jyaHC6WuIDY4gOooUMHJ+V+Kkvj56/PY12lTCcDgxCD6JvrRSwaQ aHIiWKhpb8RjL27B5b/fgYuuKsW3Vnvx8xLgtjrDe6E1EELXcB86RrrQNdqP 5vFurCBhf3Pejs9y4nCNNY2VPcCmPs5MJ/04ZE+JKwu2TIBkDByyRVAmbqFW LxpnnJyD2UjoDty5qw//fU89Tr+xGf/f/f24YHcEV1fN4+Nba3FbWRU6p/vx 7h8exQ9emcHaniDuKEvjKw8Dn/xXJRomutAy1oGKnhY8vqMSX7vrIN7z6xIs +1UdTvv9MM7+8zi++NAkHivmsbx2jEWnMRJnHZPiwFjcytqJwagd332+H6fd 0IF3XtWPNxqG0R0eQ4t3AM38jDWuXlTb21Bha8aT9R047bI2XLxyAleQGj5N IrmksRVfOlyAK4p340P5W3Dupjdw8Rtb8JV9+XispRQ7x45h7/gJlQ78+J/b kfvBtTjj87tx9bYS3FBahsuf34Ov3LMdV63Yiwf3H8L2kXLsGK6wYMdoRS62 j1XwRbR9pALbRs0yfhw7ONau6Wrkz9Rir6MO+SwFLmIxuZ9PV1Wqs+wVe3mD 9MXDV1Tqe4Tp81VeILBObM8AP4vIEgT9l2Cnq1HV8GR7ZXyRAliE+i3E/zo+ Uzc6a7HJVZctGx312ORsyJUNOe9ipxqVFci+u7g5n3Whrx6HfHU44q9XVf1x fy2qgvVoYGkM1WkytY6IEVZdBQORWozGNc6bQr84tZqygel4HayJeq1FW892 obFofc771Ahf5AgSEk6KpG3rDfFaClWjLWIY3VcFqjTguoR/O+Q5ri7pRR7+ RmpMf0yV86KY32SrwPqZCqy1lmH1ZBlemSyz4OWJUr7suShLWhvLR7CK66un jrAUE7NLWB/COquo6NdOH+a3un76MNZbD7IUaXltWozoX7Puz/k0NtqLsMla iM22ImyY2ouN0wU8fIFs5fJ+3SZtus26F5um92KztQCvTh3G6okSrCP6r50+ pGKKl8dO8FyqsGbyBF6YaiDWNxG4W4n8zXhurJVA3UuIHiK39xG4B/HkyAge G7Hi0dEJPDxqxfJhNx4YcuP+YQ8eZLlv0I9/D/lx/1BIl/81FGGR5ZAF/x4M cRLy76Eg7h0KZws3sQS5S5jDhWVXftTlw8Gcc7Cc25YPBTi8Dw8NB/Agh36Q +z/AWfV/hv26/tCIj+sBPCzbBz2sfTwVr/Yz9+FwQz4+3P8zHORqGA8OBHiI BwYD/KbvHwjqmd434NNy/6CICu4d8OWcJ3vhIR7iUdaPsazkIZ/ljfziaBCr WK8b9WLTRABbJ0PIZy0ig8O2IMrsQRy3hVDniPBBG0Yzsb99JowuZxA9Dilh 9DvDGOD6ENeHnfKRR/j/A/wfxAj3G3OEVL0vKWJHbQEMWAMYnApiYDKA/mk/ BniMXo7Z64ihyxVBJ6Gg028oqjv4EpdwcM3ipx4Sf/UkTgSSOEoCPuwV0UAc +10J7OUUeY8jit0OgoRTiHa3I05y3UvIyCd47HXNosCRQCH7FnH9ANcPcJvs f8CT0GURLRwijBxmnxK3xOOLs4g1Yok7ZhHxAm+BUm5UwwCWClJLBTse85g1 IV7kClKf0Cjgld6E/o/JEqo8Av21KnAQ5b66C/gk2ZiIA/LQ4ElkhQHNXjH0 9yUkux85vM0vHbiomv4Gb5Qllsv9hPHrieEcQfYXoQLb8hYJFGSsmMUYq9UX 59EkJKB+wVJzuC6SF790C7r8Inno5i7dvqiWPtmrz89D9QdkWz+7D/jjmdrC f1HBH3Yd9EZEviBWAr4o6ccXJe745PzG+fkn/DGM++TLHPNGxKDZE2GJaljf CVeYDzt3hF+vIVmIqOZfNP7eaMKQKIiSx5QozKUXSRTyFkkUzL8cS1aOsDRr C6DYLbnlMyp142+x7bwZg+mk2ftCVDFj8r8o1dgCjuRmZ8tvGWdM44kZxZKV RKgLc07eYqf/rJfAorwIiwQShrQh57STwjGeEiMr59TgV28KrJ9JpJfG206W S6jZxOmnyiXyVACRp8b+57X5RCghwohMs8gVRF4h8gS1HLio1W+KMrIiCllu C/BLYif+v0hFFiquyBE3A3k6ZUUX3OeSNsPKQJYvaPfqUd/f6sV7uN+7mr14 d4vhbiCxCD7c4cEXugP4Zn8EvxgI4JqRCG4ei+GOiQgesMbxpFgXOM08fp6Y RPEXgbVH5GliNqBiC4eIJeJm3AFe0VzIeYcaIog0Q6UTvE93834pkEhPgYWQ A1URPpDIZhJyQKL4t3O5QzNHiGxiqSwbZgPR9IIUIpbKE38EMcsxuqNTY1Ua 4gxZ7zbjDVhkZ5FUxOfUUoFFLQ7EGsF0P8gGBuxTz4b+BcsDEU9oAE5eh4MS oW9Am9UVIWpk8RgSgwc1Psj4IkiczAU3BJVOjCQ0P6BaJIh0ImGEHRCvqayE gheeey5lhBuwiLQ311hySw4ACUGwRNOCiI2C2ikY0gn2984nVRSxsMSPK0KK BZOFoEbRkMgFIoDICCEC86b4QmJzmFlGREiREWbkLvTItp2WkUEsGDbkWMx+ GSGH6faQTC81vB1Odm8w3CDe7PLwVm0LBhB5C2kLcrMmExF9zmRyHOhSrmHx YHhGnJwW8U0GSaY0Y8HFKe9Ui4ZFwRZOdX8yrBxOEWMYsoYFk4vFdlGm7MWQ xuQuWE+dPLBpkPF/HdaS/XQ5IdPqw7A/iKTmTOmP8cGCc7O46aF12DPs5OUP DPNt4ZBM8pE4fPGYpioVp4DsozhthIJQsQ6v2HInmX8gjWc7wOlKEFaPD3Zf QG0S5JUS0BQmhsjIPz+Pr20ZxVmPjuMd/4jjYw9GyXwuTDudZFG/cronxodJ rWGTcHworsEDfr45jeqxIJnVz9eVl8zq0XMUWYc/PmtKwpKG/CBtnJtYzXBm hU88TZYmW397LVDSF8KUOUZBYwKfvB/4/lOc5nSH8cm707jy+YSma7v74Bx+ 8GoKP9wM7Ca0u6NxlSc4yKn2QBA2v/EZJQiBQ+QL3Gb1B/G3gnn8mPvc1wBc syONpb9L4+zrgzjU7MJRPkS/em8Sy34NXHZHCv/9lyTOvSaND94A/HzlPNaX hlR5bzU/nz1oOFmIjGWKLCuB9r94fwqPdQIv87sWs8TWcSdGHVayuo3n4lHv AfnN5LOdz+M8sDmhRgLf/McszvoR8Bkes7DJz+PMwOpyYNxl5f5TGLaOo5mc f4zf12X3pfHOXwBPNQM1/D4b+PjZPwj85FHgnKuBu3ZEMR1wct8pjDltGHaM aYL3cZdd48lZ/TPqaXC4w4vLVwJfXpkkzzs4nQyhyMWxJM4yp7aF7nnVPMnT f4c/jXpfCs/VJvCjrWk8ddSD7rEBdI/3omu8j3U3Gnrb8NLr2/Hxb9yKC67b h2+vc+Obm8P48kYHvpIP/PYIsHEUOOYA6ocH0TrahddtHfipbwRfdkdx5RTw 737gjTFOad3Anpkknm5N4K6aefypKY2/1KWxZ5Kfd2oSbVP96Jse1Fh5Q/4J TAQnMRm2YSxkx8b6cXzvyTZ8fMUEbqwBPrW/E1944iD2N3XiprU9uPyJSWw+ 0Y3jg314oS+Cb7wcwveXF+DmF4txwR8OYdkvT2DJVV0447phnP8PG65dM4Vt TeN8VfB3iEySKR2SYo4vGCtfHRPE1Ql0RcfRFRmxoCkykvMV/HhtJ866oQPL ftODR0o6Ue5qQ/FMPQ4Q0wuna5A/eRw/+FcDcr/cie8/04btw0dx31QPvjIR xscHwvhw1STO3VaKD23eiafaD+KNkVLts41l62gFtoyWshzFN/6+HTnvfwlv +/gO3FlE/uwpxZ9OHMLX1hXgsn/twHfu2YWbX8vHms7D2MAxNg6UY+NgCTaw bBw4gvVDR7CRZf1gGTYNl+N1jrlpgvVkpdqkb7NVY4e9Gm8465Xmt5HkRTKw zdUgEgFp46PtdVetBZtcNTkXqyRgg7OWE4kaLetnarF2pgZr2baO29Y5WDuq 2V6tEoTXuaymBBx8h6sSe9yVKPTWEGfqUOKrV599ERFIKLlGDeVej/ZwvaZh lyxsQzEjBLyEgp+IaVh4if4Tq8/5kMoGbGy3x6thYxHZgcoGYrXsX6OG/EPR KgxEqtETqeJ0o0rtBpr81ZqXXZKxSWI2CfUu4ebEZmC36zi2Oyr45fCLsh1V G4FVE2VYJdBN+H9+4gieGivBU+NmPXEYz0yU8JyeHi/OOYvLxXh+8rCWF7jt penDeHnyEEsRXpk6gFdYvzy1H6uni7CO9apJiei+Zqoo50Ieo5AAL/0OZvs+ x/F0nHGOx2M+M17BI53AsxPHCfoVeHy0GSvH6rBitJbA34CHRzpJ0Z2k6y48 MtpBUh/FPYPDhPkREvw47h2exN2Dk7ijfxp3Ds3gn4MeC/7a5+ZL8HZS9O2c V/61P4S/9AWl5qnd0itK/VvYJu23DoTZdmuftP2tP2i09Um/2/qDOafjdu53 W79fy98G/Fz34x/9AfxDxu7nlPmOfp9F1tiXi7iTfe5i3zv7fLir14d72Pcu ae9jX27gW/jugYB2kcJlbbZIB85xZJc7e7y6+z/7vLitzyOHwW29IgXmWh7+ 0csPyG05F2jvf3Prfwa8eGTQixVDPjzD+sXhANaMB/DamB9bxgLYNRFEAcvB 6SCOWIMa8q6KpcbqRwPxvdEWRCtLuy2ELq5381na4/CrlX8v37/iyt/vUJd+ nsXgTICTfmnrtQfQY/Nr6eJ47VMBNE340DDmQdWwH5UjfhzlOR0ecKNw0I2C IS/2sj2fZddkCHumI9hji2pYvz2OuKA/dnIyv80RxTbnLLbNxCX2QY4GP7Do Yp42bp+JYocjJsWCXTNCqbtnYhlRgUaKEHP7fRJKkN2kliKhBQtdMUPs4CTg FjmJxoecgsYiNijOFoLEEWc8T+QFFonyzwOUccdyV1xEBTkSxiRxmkgJJMWB HL6GfFJLaGfhWp2KD4j36hpgYH6DYHyjGgcI3TdxB9NkwAD7ZeqQxyW0c7PA vSy3+U+uW2QU7isHcUeMUTxiit/sFksBWW/lm0lKG5c5FLdxycJFiR8h4WdF aCAls9zF44rUoEe69Qr993n5r1/pX0IkD7IDa4404OGGIW8k5706qRNTE6Nm J1cII66wyJBEgpSVG43PGKYoUy7D8mCxbEAUMyIbEEVSJoN21kNeouGZPGsa GyzOIH+StGBJ1jpBc0idk5UgmN6yGatclrzsFFcdi3ONRGEL+reFYH7xk5xy jQgCGafdTAQBlQCcucjCIJNdSgNVn2EG+jvZ3T+bBi/v5MzVphlFTq7xkY3P nqMrPzHNDN6P94tpAcsFzT4t4gxwHpn6XJK9mALIupgGSJvQ/oUtBt6LqYC0 ab0I+8WBQJje6OPL9BcnAv4T5s8zzBFajD667UOt8rgTS4UPtnjVguGSNnEq cGnYQREBcBfD+OHdOuL72O29zR6tzzWNJCQ64ae7fPhibwg/4JP3yuGoRh+8 aTyCO6ej6l/wKG/eZ9yz4jyghgdGJEG5/yQWYR5f0DFtW2tEIBQHg7gZ3/9V DVg4p/n7XucNtY3zQrFRKPDPoyg4r3YKIgUQH4Oa6BzqiO71kVm1U5Bcfpmc fm0STbAtIgb8siqmDO2kaHVF0G3tkZQYJaQMy4Q8FROIMYPKAWJJFQrwyd5l hvnUVBq8tMyohuLSlGNEMcxVXwPTSCHHQP5clQT0x2ZNQwUJS5ibTc0hoQpV KGCGIhAzhqVmsMI5Zf+ROSPd5+hCLIIpM2qKuCLYhfMdZko/w93KEAXIf4V/ uMh5LhWoGf8lU4grKe1powevhMXiAdkmfbxmmk+vWN1753lte8Wh36cCgUwe 0EzxaqBDn+qoRSAgQgTTaiHD+CI7MGUEBvfnZu0Y8haEBioaYNect9xguEYY MRQlDGdQGD8jKTBiJOYZ5g8Ce4YoIHdBbpCRPZgSg6VZr4lMMb0qDMFD3qmb F6IvZHMfpLN1SMUlhsxgwTkjrakS0zpW6uSxIiICzCyddpIII22Ok9ma83nz EPPaIWp+kkw4HaHpjqFpfPPuN9AQTmI8FCORigY5BGckBm9ijkS/6HTnM3IS o/aR5ktm0lgzBDzfBfUPFPK2+QMGUccSGn01c3ISd+bz60dw9qNTeNvtUXzu sQR6Joyk5lMen+4jWv2VtfP48/4U2q2zuDE/pZr4zU3yFiKzc7Y8QzqeCRoa eU8sqpIA+fHk8wi5y1fmn59FzUQC7380hQsfAX66MYmWMZcea9rtRVV/RMPw feOxNJ4vieKSO+bxxzVzmJpxkUC9pPYEqZ0P4NeADU3zmAnz3EIR0jTJ2uPF JM/X6pG5GddyulE36sePXkvjd3tTeIDE/qUn+dy+MorfPu/GkN1OQnaRAHnM u1L46K1pHGgL44n9UVx+dxLvuy6N9/4euPQfadyyJobjPUFMeO1K6xMeF/Kr +AD9TQp/3pPG023AqhaoXeOgbRIjDpKy00UKt8FGyp+JeOGM+fHrx2bx/p+z 35BYKYSwgnT7np+lcMFVady5PoghJwnRPoGGwQncuyeM0nAaV68DLr42hdWt fAIGA6jmC3sPaboRYu9JWudn++HDs5wZGhYEI85xHUOoXXzbpR5ykT49Y1ye xJ07QvjSE8BzzUkc4v57HBJjYB6FnJ9U8fvocwyh2jWDZ3iMmhiwa3AOv9wO /Dk/gdL+cWxqmsbNq47gFw+uw7UvHcY3Hz6Bbz4/qXH3rq9M479fsOLcv3Xi Sxtn8eujwLMkcsmdt4Uzz3+NjuCbPitumCaZ8/rcPpREvQcaDur+I6P43EPt OPOmbnxy6yy+xH2vrUppzr96u5PXXS/aprvQRWrv846qnf5gYALjJPfBAJd9 4/hOkQ93NAPfLXLizJVVeM8t5fjpahc+e+8QPnz1MRR3dOKZI6346sNeLPte LZb8pArLbhzDOTdO4fKHxnBfUR9KRnrQJCHnvf1oDPSiIdCH2mCfhpSXCPFH vR0o9XVosDpxgReF9CFPPQ55m/CbzW14242C7b24fmsTaa8KO6ZZpojNo0dw 0Y2dsPygC1evPYENA4dYiklIXfjEMPCFviR+3DqNzxD3P7VrP+6qOUi8JnYP HsGrgtxcXj9UgvX9h/HFG15HzoXrkHvxTtyy5YC2PdddhNsqCvFD4vr/rNiF L/9zN3718B48fGw/1vSR+FhW90pdglV9B/BifwleGiQ5cuy1HHcN0f2V8aNY N1mN1VPHsNZahTVE99UzUir5AONSzkWk8SqsdlWTwiuxgWUzl7e6aojzVaSF ahJ4NfZ7qkjh1Sj21uKYr0Zd2etJxi3BWpJ3A/rChgu8EPRYrE6JeipqaOPt iRrydy1mWM/M1pO8WRKV3FaFqdlaC3eo4jxmJF6DgVgNuiKVnA9Uaur0+mAl f6oTqPCXq7F+ieeYxoff4ywnwJRloVuU8aumjuAFlmcnS/A0y5Pjh/nYeGLs UM7ZeGLiEB4fP4THxg5gBeFY1leOFnLrQfY7wHIIz4wV4sWJAqwYL1VIf5oA /fxEoaxzmPESTsmF4VeOHcHjY0fZXK71E2PleGi0GstHa/DgSA15uhb3DzeR ldtxz3AH7h9pxx1DffjnwCAxdhh/55Pg5h7ecb123NxvY5nB9b0enur1fa6c j8gy/tDtxe9Jqdf1+HBdL5e7g1wO4Peczv2h249ruwK4plPqENsCul3a/sBa tks/6S/rf+wK4k/dPh1T6j9zzBu7pfhxA/vd2OXV9Ru63bixx4Obes11tt/E +maex819ZHBu4Nvy5h6/Nv+Fw93y/zN2HuBRVdvbz50EELFXQC9WFBARbFgR FVFQUUDsXbFf+7WLir0BAqJURYoU6SGhpJCE9F4nbXovyUx6n/d71z4zQ/D6 f54vz7Oz69n7nDMz5+zfXmuvxa6eK/PzRc0cpylMMxXAS+zm+Qofniv3sr0P z1eqbthFuZ/ft6dZ/XSZlyP7VJCRJf9MqVY2t9SnunpRhmD5Syx7jW3+yzP7 oCqAzyt9+JpErpF4oyacNzRiA2l8i6kJO0nIu80BJFoCOGBtRIpVo/FMWyOy bZw3F9iDPGcNyIPKnp6CckI2AT0WRfYmsn+hLSgNkW8LII+9iOfRFDL/fo6W WN+IXbV+bCV3/6n3YV25B8t59ss4Q19U6MG3eU58kevE53lufF7oxedFPnzJ K/qmMoAfapuwsK5ZWQkQqwTL7ZxyOzqx2i4cvsYRNjE4AL85OyWrwloCPLmc pRtcQr4bOV8XPhc0V4CuEz7X4S9Xh/wTmbNw+TZiPIMYaXALawqfixsABpYR znkbdrPNHraNjwQR83uJ7YR0cVLB7D6SpYT9njaBddYd9HCwJJ+Mk0JkT2Fl quLjQ972OGT42uKQ6WsfIKL3AWGa1qT27QLYHFv+D4rCuAShaVFtKCFulCr1 /1Kh/zIlrpfCCHYzkNB9IiUv9LE/jl3gbdWKi0UTocgr4xURnYuJzgzsq4Tt Byn1CXE9UCG7OsJxJfvQK99lel+rTrQ1BArI00cWZOT/SahytqDS0axCjUP0 NTQGFxG9aPu7mzo14QbBQZi7vScU9gWlfFJF2LP7iLBZE6yHd+UfMU/f7y+i Ky/oGsHw06IyaV1YNb+f8fzwJoAwd+v6abIeJfyS4mOiNqa6wuqcfzOwFfs3 F95HbHjFHWU0IOIe6++usI64survi6q/d/uIz6qwc8Uj90DdmAERU339dBdO jugz9FuhUP8nhgk+FqcX+HFGng9n5vk4wNB8eT4pLma5SMrPUiSvaF4nsMxq AXsN6An6RVr12VKttuwT59ltuCyM7OcoQb7kzypqjMr5z9VE+EWibiRlYaDX 5P9FwRjNbuCA6N4DEeIrYX6h7GUQYf+Zqu2IAg3hhxYEMCw/oIT6p0ko9Cu8 F/uCF5U0KeH+TVUtuKu6BQ8R758xtOIVSxvetbZiPp8p3/D7vYC/T3EU8KtH xOMivY9Tgn3Zh8AyTaivYb3I+QXrV3g6VRC0X0OsX9fQrbYgbA10E+018wGJ zd1Ibo7YEuxWrvuyW7vVdoTsZuVnQCe7lwaIpVBesuD+kW0KaquCJuNnndgS iNgOUF4wlZKAQn5CfpyS82sWCfrJ9XWK7AdENx30i5V8X8z8hRk+4uRPS4fd EdSICQHN55/8O7LpQBz6Rb33Obr5ZXZ1y1custsgivPKjCBH8SsBP/4nFuL3 yrqX2CGIVeAehnhNF4BfPK3pEbgPpxXLR9pEQN9/9E6GOE2ToFEtGmgKAUds G/Dc/ldbQDUTfwdHtjpo2gUB4dhIKi7c6m86A8owAotlZUEODOO+tnowIJxF dBUhqj0Q+w9LBJp9hbijzCs2y2Mp0qHuH3UR/o+Ojjrif2r7qzpEbDWeduSC TgmTu3b2QuHabgyh9h4sWLsTj6yqQLUs5wRbYQuQ2ls6lIvRhq6u6J0MhrST j/GHTwDK0YSYCFhMWFpY1otKdwAWn59AJ9DeCm9bBxq7u7X2DFWN3bjkVwNO /symoP36r9tQ5fDD5NYgWIBYoP2z9F48vQsw+tswP6lHQft/EwjUjY0wE7hF 3C5pV1MLXG2d8LZrCwx+/mr8ndppezo68Ft+J06fTxD9Enjsjz4CppuA6yMI +5WIQVSqr5oXwtOre3DRW8AnW1tRTcA2eDyo9/rw3t5O3LFC87K3IrMT1uZm 2Hltco11Pjfq2E76M7i9WJLRhFuXh/DSwT68mQyc9UovTnqUU6h8O6Hdzj5d MDX6kFTVgPNf6MWlL4lj9iZYGhqwKTOApxd0YOTcHiV6H/Y0cON73Via0IId 2R6cPasXF78cwlJDCInWNhx0EKT5eCuzWlBntylArvM7eQ/tSgRua27AQc5R z3mwD/e81w57q5fjeLA7z49xT7fjxBkhTJ/XiQ9+a8AVr/diVRnw3h7ei//2 YXU5UBXwwdjA/hodJJQmPhN7wY8BFT3aAsbLqzphIBCLYflqRz0qnLXKLVul ow56ay1nESyz67G3yoFvivuwjT+o7cFe7G1uU7Be4DKi0lyNMnsVQzVWNzZj C79+B11QXg1nrANeiu9TBvLvXW7A1V9XY+JPwL0sn0mon7G2T3kQvPmXXkxZ DNz1OzB5dS+e5X3fZA9hST3wor4X8yv78EUhsLNeNEg7lbemh5ZlYuDMBAyc vh/jvjJgWhpwewo/++JWbDYDh1x+FFhKOCWuJLyXczpVy2lUHSq9Najw16OS EP96vhcjEoA3s4FFRTZcsrkMQ5eX4La17RjxWjWOuT8Tx8+Ix8DZybjog1ac NNuNY6fnYPaKIvyQStCsTcLWmmRsrU/FVksyp6qH8ZcjHdu8aZy+pmE7wVSA dJvvMDb5M7CRQLrFm4kNolXO+k3+TPzJ9KPbcgjuRRh4XxlmLCjAH44krDEf wLdZqTjxnkocc1clXt9OsltasTtmMR6tNGBUVQ/GlzdjQXki3inNwfjDZpy/ JR1T/tqKr0t2Y3HFdiwlb/9UsReLyNs/lu3B5Y/9gX+N/AWDLtiEuat28ae+ CwsqCJRlO/Bmxk7ct2szJi78E+Pf+hO3frwBbyZsZd0ufEW2/1rasc9vK3fh +8p4/FBNhq9m/4YELCVp/m5PxjqCrZh6F/7eHUzFAYZU5UgtHbktGShtzkQZ QVnfnKl2vQt7iyTb2p6hmNvZqUm7Pd1kb7K4MLidkC3sbe5IQ31XBsE7HTWt qdC3HFKm6Ivb0pHXnILDHCstmKTge38gWTla+8ubSPDYh3Xu/VjlSBQldiV9 Xqgkz7vxvUUD7fkGxvUJmG/ag3mGvfi4Jh6f1MWTkBNJxAkk5H34qDaB+X34 sP4g3qk9hHdr0vFBbQrTKXir5jDerMnB27WZeL0mD89Vl/BrW4TX9AV4raYY r+rL8GyVHk9X1uLZyjq8UFmNh0nVj1cY8Xi5HU9WWPBgmQv3lXkwp9TDtJex DzNL/ZhJrry3xIf7Svy4h7OwGSVBxkHM5IxK4hlFjIubWd6Me0ubMIMztJks n1WmxfcyP7ukkSGIOTz+/tIg7idJM9ZJAd/ZkpXhJEj6gZIGPFjKCSXPgxzy IM+CWTxEqn2YdPsImz1c4sVDxR6+tZhjF5J/vETqGlR4lGz5WLFXh8dKGvju jFQ9xvjxUr8U+9iz9KSKwoFHaEeWyGT4UXV8sZfdS+EjRR4Vq7R2Cjp1Dv/G A0V+pnjSRVq19PV0icbmL5BkX+X9fJPhfV7Bx+Txz6o0Jv+BTP5TbQN+rfFh VV0D1hmD2Egu38qwy9SIvaYG7Dc2IpV8fshCLrc2IYOknWUT0CKdi1iXnJ4r knOr5OT/xVKDw9YGpFn86tiD7CfR2IDdpPFt9X5sqfNjPcf8vZokznNZys9+ QYkb3xa7Mb/AhQ9yXXgn24E3Mx14IcOKF9LteO6QDXNTrXg2xabSLx124eVM N94gtb/L655XEcAX1UH8UN+i7Psts7VhOaF8pb0Nq50Ec1enxP2oXYffhMLX au4E+G+dvV05C1AuBrDO0SaB+O4QQt0kjvWcbRIE4p1tOuV3L04oXons/3K2 StAJw8dhuzQQco/FLlYoblekr/2Pd0u+FXs9wrKJbqFxBe7uVgF37GfdAbe0 JLzHIdkjAJ3CylRWhkMs0gTx070cM8PDf4e9zGZKWZavlZ+FV0bPJTkzhVyP 5PK80id5PELhHF3+D1BEr+TkPAsBeCHxWEXisYq+hcYr1NpAubB7mYxKaufh MnSBu4Xf5zx3EPmeJpS4m1Uo8jSj2NuCUoXpLBEwcLeojRYqOJsJDY4m/rOJ kbZKm2yiaFLAXuduEl16ZTpPYN3X2oVgZ09U07H9iI9qEUMf5YM5LuoXOTZM qRFF+f6icyUcPzYK7kMVkx7bH2BV895w7xGwDqtpKqH5seENqpHNp/3NYEU8 cCkhetzfNuzLUsCQqP+qGM1M/lEG9ZTIfGB0C35cdPf9CdEVBfV3TRilj8NV Vc0Yx8nSGHLm+aUa6w4Lc+nQvKDiUiV2ZiBeC237Yk6MysqH52uxHCKm8Ifn aXJ1wWwpl3Rki31Y1s4zZS0/+HMKg4rUIzL2CGIzrdo0hOXmEbxW4nSpHIhz C8RYf5OSnYsMXWvCZzML+WlIzwLQ5xU2aeb9pJrQL9r0mhGAoEjjtRMZpq5N 8Xe+JmKXk5cmo/kMv4JvhMkVzZhe1YQ5Nc14rK4ZLxnb8Ka5Ax/Y2hWDf+vp wkJ3JxZ7O7HU3x2x2U/Ablc2AX7xyBNkmUec/okY/he3YnVl10/s+632dmON V4PwTYSEzYzFoP/2pi7sDHZFbfkdYJwS7FHbf9KDfcgQ5xzNPcrlpVgRKWjV BOr8WCNy9giLi/K9xOLTQ0wIiOZ9UVvULEDEUkBJ2OyfMv/X3qMKlHE/ZeVf /P8puwARSieTacYDhMyr2roVmWvUHotq/tjE2KhmEpA8PkAJ4OOijgA0Jfse bdv/gP6+/CJ2/jQkj9C1aNkLobuUQ0CXYnTxAirWTRn4tXD3KJRXR/QNCB8m EvkI1EcMBnq7QorfIyzvVbCqDjpabz+2P7v/Xb+/X22Dps2vSD1iiVBaDAqX Raj+iJQ+VstrFgt57prkPmK3INxeNVVQP0hSQu9QCv+Iyv+1I0TyTUw9XpKx 0YPCeP5PuwqYO0ZrFxDd/MjSAGlZ7TKQzvstA8ggjpZWPP/jLnye2qJ0I6zB FtiaWuFs7eA8tA2+rm4eG4ooH6g1ihjN74IcbuG3basthAWV4BS7B3rSssnr h7kxwMd1CxzsRqhVWXQgzebzh3LhMhNO+tiK4//Thlu+J52STuqcXkXBlkAz Qb0NHx0iKZGWzYFWrC9qVd7mHvqzFxUk63qSrtHfoGIx125Rp9ysLkXGs7dq p+9oaceH+7pwKmn44u+AF7Z2o87h4nhekq4P5fZG3PpNH8Z92IfrP+vGuPeA 1cl+1Njd0DscqHV71P6/DxM0Ufcdq3qxIK1TjS2UrHe5SIVOUqENZRYnnt3U hem/dXO6QjLfzAfzA32Y8Z1fEW2F1aYovM7rUhS+MYsPpKf6cNXr/NWavaj1 OVDtdiC9xoOf43245d0OnP0YMOLJXpz+UC8GTAWe2iw2e3vk9a087+R4gii3 GngdJE+nGVUuE2o8btS43IrkDX4HnvyhDWfPBDYk+1DrcbLehDyjCW8va8AJ U4CBd/fhkwPAgZYQ3t9DqjWGUNbk5/nYUEP6riN9m4JO6INe7OFHv4dfhQq+ ZRJJlQmmHt4fXhsJucxWh1LScqFNjxKLHgU2A9L8LUji9yO+A/iWBP7OwRCy 2bbIWoVSiwQ9imwVvP4qbKyowFK2Te4E5h8Gbl7Th8cTW/D0Rj0uf/xPnP1k Ma4nLU9fE8L4PV24PKMZM9MCeK7YipdyPbh3cx9Gf9yEWdsD2N4aUk7u3yM5 P7Q5hA9zQtgb1EzfzUlsx/DPjTjjXSPJtR4vJTVianYI72Z68EulFxt4XbI3 NNtUjFxrMbJIzVm2UmTbS5Qn9CxnERbV1uHc/b04f2sT3s/vIYga8Ut5Nq7Z bcPU7Q248LMiDHujDnFP12PIs3Zc8ikw9btK3D0vAW/+lYgVRMdlFduwvHIH VlTvwuqaPVgp2Gg+iLW2ZEW8f5CI1/kysVEsbXsOMZ+KP0nSG5leT4pe62bs 1uIXErNw/EulOPahMkz6tAC/GBPw8vZUDLi9BqfOKcZnh3dzSv0XfijbiWll Vlxc2YkJfG9+WbKL0+yt+KQ4HncW1mHkwQqMWrcbT6b8xc9rN8N2hcNflf2F L3j82Nm/InbEkpiYx3DMmE14aoUQ8HZ8X7UNP1buxE9Mf1O8A+9n78CMzdtx 2fsbccPbG/Dehq3YUbsD+yx7OfvfhVRHPNItici1xaPIGc8Z4V7oPYkwBvbB HkyBvTkZ9s5kOLqYbkuFo52hKwnmzhQYO5L5lErmGykZpa1JKGhJIvEmI6vp IJIa9yOxMRE7vAfEZxo2O5N4i/aSdvepTd1Kn9tykGE/STcBHxmSFMG+V5eE F2vS8HJ1Bl6uSserVan4jz4Nz1Tm4+mqfDxTlYu5lbl4rKIMj1ZU4olyEmxl MZ7VV5Bca3BfeT3mVNSxvprIWE/SNGFWqRmzyyykUgfuJMlMI8nOIC9OJ4FN JVJO4XRlCqns1iIJAUzhlOZWhps5xbmV85RbOAuaXNTMfBNu4pyFbfh0v6Ug GHM8jw2qtrexfAqnQLfzmKmc191O8ruDE63pPF7iafyIp3GsacUio76zUCZe MzirmsEx7+KUiUGHu4saYgbj3kIfUz5VfU+xXzW5h1NGiWcSqGYWiQcO1vBF wjRmsWxWsY8gTSgv9GA207OK3JhV6MccsukcDi1tZjMWIL2v0Kvy6ljVhkOz kJ3ez6HncBhpwqCT42NOYNKNOQyzCzxadb4Hs/LdajQ5o3sZ31ug5VXPWl4n B8TMwJwCLx4g/QoFP8JunmL6eYZXyOZv8LN4t9yLjyr8+Jw/+W/1DVjIsLTK j+V6P9aQfjcYGrG5PoAdDLuZjjcESMABRa4HGCeZG5FCKk4jCaeatPQh0m06 69JIycnhdgnmoDpO+hAdb6HdjTV+/K73YY3ei2WMf+I5fF/mxhdFLnzCS/qA l/omqfc/OQ7MzXDgqXQbHif1PsL4QdLu/aTe+5OsmHPQhvsOWDF7vwVz9pnw wH4zHtxnxKMHjHgi2YJnUu14KdNOKibt84OaVyF68AF8X9+En0wtWGprxS/2 dvxKuF1BaF3lICiutAuerXK0Y421TYLsK7W1iFTb3oLfHa3huI2xiGd/t7Uq TGazPwSWHeJqXkhS/seRl1vF4Tz+1GKdJGJFs125ricocyBxPy/AvE3RMGFZ ZOBsz5TwMnM7HS3sazfbkJiV/REGHfYKYSc4BYcTXcLJ7djnbBFWjhVoJi+7 2CDJ3RIruKzDIXer4uQ4pBNRByLD1YLD5OhIyCKmZnt4kkzEIcctV53v0ewD KBsBHmVaUMTXCqDFzCBTgsmCzm6yKylX0W2rMiZQ6pEKjXjFFqHwLoNotbo4 TIXqSwpLXQRkZ1C29OlEvUEnSgz8rRVZAijkV62YcYmV9fyalfBrVmENoMre hFqRZBPg7Y0dcBElBIzFpXtLWGwcddDUAxFIifufsIflcOi3Nzs24mvpCDuH /SJF4HNAVBP7n9TNh/+DgPc49X9Q1CxeX6if1XrNcFNkA2VbqC+un53qtr6j jUlr3qoEo5kKS877qZv310T/285zguP/4elZkfagsHQ7gvhR9XMlxD4uqjl/ lKw6DtdVt+AawuP1Na24toYf5kQxn3FlVSDmGFxS1oyLSgPKTnxE41xg9Mw8 H07P5SNOBNyxqmhonqriTRimrOKdpcTdCr5FBK5gOQLkw/KE1fnglMpjoywu 8b/zNd6WOKL7frYmjtZJIW9qRDItOB5BcoXeIvo+gTytGeI7mw9MtbNddrOz pwsKg1FaF8YW/o4IyM8Xf3pyuEbu54SbyuBh23ua6b1TtHUEOSo/gAvZ9JLi ZlxRwrtXxtdYZRAz9c14sLYZzxub8RqfO+/Z2vAZf87fejqUOb6fiNGLfV1x wuAx8r9bScbF6h6DTtCb379fNV13ZUBfDPWtVlLwLvzB5ut8XdjI+E8xyMe6 bQ0d2N3YhYTGHuxr7EQSofwQoTu9qUcBeCZ/TVktXRqEE50VdZOyC1sIzYVK fs0kilToiYC4PAZEfK7tgy9qjSrLi8S8VZnoky9vWWtflMkZ6wTM+5voL29V IUaZ79Mc98Vptvjb+zROl2K96kucXla3Rc336cKq7+L1M2Khz9jNnw0ZnOes qbcj4lYvTM9MDVTkHReuQCQIqSMuXNeP1CU9SBIDFXqfoJThNUV5RC37ReJI nZsIKtgu8vRwvSJ3XViB/khb2ZHvEdkwQXxAPyYPS+IjxN6P5/vJ2pV0/u+M /0/t+ivzR8j+pLAUP3JItGLw/zWQ6kUb8hT4e3vh5SNLYh+0lQi3WCwgxj68 pApbDYChvQemQICoG1SI6ujogotlvrDRQ6VBIGd2XGTbAWqbe7HZHMIPpKgV VezO00gC9ZLwAiTgJtia2wjr7Tr20xVzMlLNTRixuA4nfmTDca+04q7Frai0 uwi1btR6vTA2BNVh7yWH8PiOEKp9TWpH2sw/Qrj7914kVMn6fY3bFzNUgbIc I0PVE7aNwWYYAk3MNxGEA3h4PQH7o15c9iPwQQLfcVYrym026O1e6J2cvC3p xKXvQ4mir/64Dwcr7Xyd2VDKNoRn0dvyxazBvH2dmPZrH6atIismiQTdjWq7 VXFzucWCpGobpq0EHiBXf0S+Fq/xJzzZjHXpJr4RTWpI4fAqu4PvVXK5240F u4M47dEQJn/UiUKLm3V2VDqsKGW/hRYTDlXZ8MTCNvxrah/Ofb0PXxeKxLgD vxV3oJ6vxzyzkW/feo1tHfWKs8vJ2ZUiCXabePo2pFc7MOLRHkx6pQUlNhMv 34R8kxHvLPNhyDVtmPYNb2cjWTnYi8OBNlQ3WlHtNaK6gSzeYGeworbRBkOD DdUBF7aaOsiXfUjr60O+GLHjs6pEzle4WlyVmcqRzmvc7+3BFn7DNrSFyIXd ePSPTlzC2/tjsg2F1nIUmCuQbSjFrzt3Y+YnCzHxvRw8n9WL7XyV7fWIS7c+ 3J0QxKj5tRj3jgMPbQW+z+3Fz+Y+rO5swfI2J+Z1evBCuxFPN1rwYgbI0e14 n++JF/d7saq2BWtLrFhc2oeUQB/eTglg9MIe3LAGmLkTuDceeCy1F48c7sPV CcC8vFpCoh2/m4BEznR21SZxQpyM7XUHOCk+iE2EsC0G2dGcigkp7ThlbRCv ZuSRQYP4lZ/TyuodeOGACZN2OjH4u8M44RUvjn2OX++XjBg5rxcTPvfgmo8P 4dq3kvFjwTYsJa8uJrsuKd+JJfqd+KV2F1bWx2OlkUBoOyh2vkX/WIc1zkMx D2G1h0WuJKx0HcJKtxavsqVhuSMFy8iOrxw8hDNeKcXgB4txzbwsTPk+A7qp lbjo5Sx8VbSZc/fNmMdwY7Ufl9Z2Y3KJG58UbsSXBX/gy8JN+KZkE96oOITr K+wYtS8Ddx3ahkWVm/FH7VZsrNuGTfV/4a+KHbj8vpX417lLceqYNfho259Y WLIT7+TtxPNpe/HAgURM25uIG+MPYOS2/Tj9l0Sc/No2XDb9F/y8ZR3ynXuQ Q57OtG3DQXM89lj2YK95L3aad/LhsQ/rrclYY0rFKks6lpqz8J0hF18b89V+ 4o8MBXijpggv6EswV1+MF6oK8XxVMR6rKsWsslLcW1qFmaUVZFg9mdOA24rr Ma2wFrcXm3BdvpOs6sRNBS5MLbLjNjLv9QTCG8hdk4ll13LmcU2Bl4/biZzP DMW1BMurC5oYGnAV50BXFrXiSs4brmTZFfzOS93EwmbWMc35EY9SZdfmN+O6 vABDA/sLMh/E9Zyi3MBJz02MJ+VJ4JyDBTGnssiPyf0Dq2+RppyFSV4wW5Xn elhODCcmSTyF+HVzgQ+35Wnlt6lTv4VYGRvJh8um5nuJ41PZx+2EV+a0QGKV /G38pUwlT9/J/B3scxqPnU7YvSPfxWOnFQj8TuftuZNjTSfZsp2OCU4PI6mY y3F3LqGc874Z7OBunuDdeW4V38kD5CDJT89zYTov4q5crY3E03LcmMYLmEqO vD3HhTuyGXLd6uRu43G35znVMdLPPWw3i+3m5LvwMD/Dx/h5PkkOnVsovOxS vPxOmQfzyrz4qsLHn3EDFlc1YFl1I1YJyzJsqGnEn2G+FanurvoG7K1vUNy7 p74xFgkGEckkGPws9qmwi8221XmxqcZNJPZqQmDi8KoqrxIELy73aFjMU/ik 2I0Peepv5zrxSrYTc7OceOKwlUhswQOHzJidYsZMIu+9KTbe2xlJFt7Eg+aY MzHtoBnT9ptwJ/l4xgEL7iEj3828xDMTTZiTYMacvQbcv6ceDybU4xHWPc52 T6Va8FyGHa/x3kTY+Ster7DzAs2znMh+bMKqv9ha8CvZ91cFxPyvuaU7Fss5 k11ha1dhpbVd+ZNfbWlV8SqbImhha504ldcpyo7FWtaJyzkGoWuLMGi/Mqzl YOusLWHAHqhc0623NTOnQbb4ot9kI/FuVkzOpLaX3C4b90naOvxlF+oUwN5h 18J2OYcd9maNtLFLC2y/xy7DC2+LxzsJ8cp8ntQl2DlIokMG2c8+xB0eA3vm f0K3kwSdKpCbJiCe5mqORbpTZL5ioz+TbCx+8xhikeVs4nWozfak4P5xnnSS 75KjCsLm+cKBc2unGCqULFNqJ0BJeHt+qSMY3qofRIVT7HOVO4g5FQ7hFIFm kSxXEKrLTQGUG4MScwZuCohzbHK13tHMuVU7JzcdcDZ1wMMJdkNnb9jwc6if tbOjDbJrFta6lL+lzrButpIV90WtmCmeVhgeM+AoC2cRK2cD/kGt+si2aMXf ikiVObOTouJqZV+et+PvSuj9RdaKhhXYa7rhojYeMbU0oJ+1t7Df5xjlIFrK joizNTPJ4Uv+vzzFC12fEibusPF4dVFHDLgdZUs+zNlD/pmzB+MyfRMmMFxJ 3r5KH2TchKtqmlWayE3+li/2tTVNMUOY1+ovr27G2KogRpcFcHGJ5s9NmFXA WiB6aI6g9pm5fFVIcqAkFYkPy21UsZhkI3HHhqE8QtnDlDH5s4SpRyhncBGR eEQUPkyJvJuiZYqx+yH5v/nG0kTn4a3ksg/8RNVcyHhEXlAxdwTVzw27sdPE 4YGoUfyw1PyI3Tnep7ChOtVWKbcrCXxY4M831Gn5okZ0Zn5jzEScxdOQ8UYT 2CeUBHFdKV+cFQHcyXs6s6ZJkfhcUzteNjfjbT48PnK2qv3mn3va8I23AwtJ NUtk77nvyN5zUUxfwl+NlIkne6kXal/I/CJS/CKi+iIXSd6tGcz/mf0Jr4sp ut8YhM9FQL6VfL6TTL4noJmj29fUieTmThxinE4KymjpUxrrUQE5f53C5QVM Fyjj+LIjfYBWRizOb++NSMsFztt747S96axX29aP4vKILbuwxf3IvvX+HvLK pQdRax8cNrJ/JFSFDegrn3gdfWFj+f33l/P3Ye+EAnCGWNiEfVXKoYzgMw87 f5M2Yp8Eu9KMton8OtqKiN4T7UJCXLQ4unNd6HyAgvaBUWN2/cBdyuL68X6/ qrCc/aiUyONlqUCIvUd+yPL/mP5a9eGg0b1HWyVQzWI1vHfLAkRY2n9kbUAj fqUAEKPONnx4X2SRQJPyq4MiXfcpWf/fy2K1xQIWRY/o7Tu6VpYvjhwRbR9V JOgNbwmIVjRqFbIk0dWrnXKPphwu9kDv+9Wn/MPpG1uJbwHUNTTB2tQOS0uH YnlHdw88nX3Rzl09veqc5EZWEAU3WaBgfm1NrxJHy45hvacBdV6h7GYYm1tg bm5XO873cG41bGENTvrYiRNebsecZUElbi6zO/mCc5PTG1DjC+CtA714amcf ilx+FFk9eHxzL+74LYSFac0KpyuIv2V2xk6vEqNXunyo9MguYz+R1K9oXc5j 0rJOnPIxEXsRsDClmehpRqnZpqi9hIj9wpp2ZRf+4jeB6d90sNxBNDWj2GZl sPMFbOcYTvblwqeJgvVQaP/Z/nYUWFhvc6DAasaiQ424jXUvJgFvJwOnvdaL u+ZZNOy2mHkNZrWaIP2VEHnLHDaFwu+sb8KQ2X2497MOtrGgkEhezLZFRPoc gxE3fdCM2GkePLmnC++kh3DK7DZ8nQLsMIewPtuGwwYeY61jqEGxvQ5FtnqV L7XWMm1EsaMGb6/z4Kz7e/Hjdjt+SbDjvNlBxI3nK+jFbuzxE2HbgOc3A6+u bEep0wS9z6xE+FU+q9oRXekxotJnRLmnHknVdlzyZDdWmHqxrwNI8/eiOMBH l8OKbI6b4G5hn33Y2NiL1cFOxHe1I4OYvy63Hjd8Bdz8E6d1aYfw5R8bMfnd Nbji8xTcuiGIO34B5vzRiw/qgYxQL5blhjBtGXDZN70Y9Y0fE74swh1LqjBn fT3+u7MeXydU4OODJVhZacEujr/Sqinfz9kTxFlvHMa3fPUUtLchzePDh/E5 iHvsIHSPlOOKH9x4arcXD2zqwF2/d2Pq+hAmbA3hCn7fZmd2YWVdCDuJ9CLO /rViO36t/AvLyLI/V23HL1VbMe2wDWdu78D1O0uxlBi/1tyE9zL1eHHbAdyz og1nz2/CCQtqMGJpFl7ccRAjPylk4OvtrS4MeasK576Xjq+z/yILb8KPZRux sHwL+YNsXLUFi/RbsdiwGz+ZiPqmnfjZnqjDYnt8zBT8ZN+HRfY9WGrbw5I9 WEAcXmTbq8xuLTDvwELTFmL9Xgx/uwBDnijFoDuqEXebHjMXZOK3ss1YXbYe v5dsxM2cY473hPBEvRW7OeT2/G3YnbsX61O3Y1tJEvnlMKbs1mPo8jRc8fNO vLA6FXP4EU3+aj9u+D4DI15Jw7+u34d/jU3EcXft409rL878LgHDVidg+IZ9 GLoxBWdvysDpm7Nx9vZsDNuRjdM+3Ivjxy/FhM924+4sPW7PLMeNqXpMTK7G lQf0uDylBpck1eGiVBNGElVGpTtxQYYL52V4cUGmDxdmezEqm7OfrAZclNOI 0TmcbIzJDsYMwpjcJowpaMYlrL4krwljSdWX8pMfmyMSh0tzm/hInMBJ0njO gxhYNj5PhL+Sv5xzmStJ35fnsTs24kvwKtL0lTl+XM05xtV8Il5NYJ0oZYTL iZxOXZsrXVyb69PhuhzZvHtNjo/Bi+s5xrWqsV/yrM71xFyojr2W8Hodq6TJ 9QTaG3P9mJTLmLB7LYHsRqYnEWhvIFHfxPwkgu0kHidlQvRC+Ko8X6uT425i n5JWtM9wM/udTHC+lXWSvyVbi1V9np1pqeNpTcl163B7tpfXehv7ncp+pmQR pLM1sJb8bUxL/rZMtSqQ7WLbqVkE7exIcKljJD2Z6Zt5zM1ZDradnOmMOQs3 ZbpVeSSWc1HtSbkC8jN43gLoD/CaHuL5PpGvwfmLJOLXirx4p8SLj0t9+KzU j28J6D9U+LGI8c9VfqzQ+xVR/854bbUImjbWiBONzTWE9dpGiVm2udZHOt9Q 7cHGWjdJ3IN11V4loF5Z6eOP2o+fy71YUurFd6UufF7sxMfFDrxb6MQb+Q4S uR3PZFrxZKYNDx9y4r5UG0ncgrtSrJieZMFUAvWtBPFJB8wcedI+kw43JhqZ nEwCvznRgFsSDDyJ2xKM/H7ezrLpiWbcmWjEXQlG3L23HjMSDLh3T72gfXx9 zOm4h8TOFO7ZXYeZe2oxe69G70/sN+I5DvrqYQfeznfhgzIv5lcH8G1dExYZ m5Uu+FKCuOzeXmbrUHrh4jd+qYLtn83EVXErP0CSZPhWErzEzVhhEdBfbhZR 83Kz5FuwwtqElTYSKpE+ThBeZOSsE0qXWAWL/Jx+Z91AoXasCzuvkyAW6ddZ mwjyNtI/uV3RujA7KzbbmrDFKpr1W23C5UwrD/QMIh23ctgdNh672ybDktOx lxC+R6Nz7LEKFMWr3vbamoXVJWbZfrUqsM/Wgv0c4YBaFTjoEMpnGsmOJhVS iNSpDqlLsTfJ3nDWHbJrPvYkMM1eMhxNwvMk6kwis1jMy3QE45DtCOqQozbq MykpFcSSXh7zuXY+O/KkjWzmHyB79tWO/RKej4RStZ+g2CJ7dUXkXWrRQok5 TOknoszYyOAPx42oMHDyYuYkjEOIWz/Z0+1paoW/tUPZUYs414nqUytROPpv j9ZsoPVGLJ9pdtKjzncjmBt7xOtaVPjcRYbtJqYfH5YrH+U4LdQ3IErvsf1S R4H74H7O3ZkcqqUULSvhvFpr0LxDRewZR0LUD1M/SO/vnbkrhLBfd6aO/7/8 tYf3ex9loE0X1ZhXpzf4HxXNdYLZfGlUytLKOBL3uKom5sKxXmJWE99jTlYg f0WNBu8C6lfzd6nBelA1Hcv6MZVNuLgsiIuKNQgeXqztnD6dD/wzcuThdXqu vIvOzCbgZvswlC8JMrtOoF0E5Xz/EOgV45+ZxzcO64Xu+djW9NwblBxdMxAn cvT8Bj5MRLddwF9CRMw+QhYDGCtYzzuiEy/5YexO7UJn/my++VR9vuxQ9+Hf BT6MUKQtQvdYdREa+DeqssaY0Yq8hdCF9KW9SN6lndieO79AI/OI7Tn2pah+ BG/C8LAKu1IZyAviDJ73mfkSa+rtskteVgVke/poUv24Ut7kiibcxM9iGm/8 ffXNeMLQgudMstW8BW/Z2/GhsxPzHK343NWO70jjsuX8J6XWvtjbHnM+Kb5D qb//FK77wd2BBa4OfOVsxzcOHuPowHfONnzL8D37kDohfKUO7+lQe9HFHd4f /i5sYhC6397YjZ2BTo3wGYv6u5ibS23qRjqJ/3CQoaULmSR72ZeeIwJytSld KcIXtsh2b03hPar8Hqv4/uhihtiINF52rEfM1hUrg3KR/ev/Y9JOHj7tqsNu vo0ilu7DivFH/N4rk/W1ymR9vSZiZ+hTwaTkxIL8A5VZedF+lxDRhLeExfE6 KdFpKZJ/2ABdtJU41LMqSo4UWZWwnk1PlOQggf9+In0JYet1HNihdr5H1gO0 FQL+77fcEBs+qk/lpKJPKd5HaiPrCdHafmsM4X4H/cPSA8PAcLEr7Bo1fMSA I4fE9i+PGaD+n6x0DmSLgFpZ6OhVEG1lvFcM3GwKoKo1hCpvE/TeRlQTeGsD zTC1tsHCb4nooVuVcUD2EDNL9S19icfBwkAP37zg3KWP85pOlDldKCEQlxJ4 KwjB0l9VYxDVDUHo/QGsLfHjtB9qcfxHLpzwUheeWNNIuHSg0GwnIDoJpE6U E7r/s68Hz+7uQ57NTZB04f34duXU/T+7ulV7BadWm4JiOa7Y6kShw6NiOYdS hny7B2N+6FE66rcsBTZwTppvJgSb7AqSpd+56zpx6UfAhQTk6T8KRFtVm0LG hU4Css1FaCUc87yKXHZ8fqAFdywnnC8P4a09PdhS5kN8OeeNG7qVwfS30vtw z3oB4wb8mWlADuFdxiqw23k+At48Z8Ip+9NJIsaA534mo93eiVdWBLWmVrI2 WfnGl5sx4HonLnu3Ab9YgeVZAXy0yYXMAHDPgk4MudyBC59pxIebXUgo41BW PS+tmnENsizVyDXW8FL0SK83YMRDPTjudr6sbuJxk4N48IsGbDaKunkI+wLt ePuPBpxyUyvOuqMLvyS6Ue6tRZnfhEK/AaVuM0rcZHmGbKce4x9oxtfxASS1 NmE7zyWrIYRKcncGH2hiF323rxWbW5oR39qCNHMpsg0lSK0rxrPrgrj2R2Di +9kY+3YWJi7owC0rQriVH83V83txzScteCWlG5tCfUjwArf+BNy5ogzPbzqA +5YkYdKPZXhiuwuXfFmOYW/kYdKiWnxR3I6vqkN4MT2Ex1KA2Yd78UQBZ54e sQrYgcs/yoDu4V3Q3Z+DkW+nYUXFeizXbyQ7b8brB8tw1yZg2l8uXL+JiLMt hDW1wDJjK94uSOHx68jD67G4bA0WVq7Dc5n5GLG3F8M22fFlwRYsrPhTTTxv WWbEeR9UYdKvXRj8dDf+/aUT527IwhXrEvFl8Xbc+rMF5/23GbpXS3Dyu/m4 YkEl3s3bifeK9uK/Rfvwful+fFq5D1/pE/FFTTq+I/QuNuRwopyP3+35WOus wGZ3OXb6y7G/QY9DjRXIClhwOGBEnt+IHJ9e+V/LdeixobASp7xcTugux7/u NGLss3V4e30eHl+YjSnvZeCCdVaM2ODCOR+WYfQTBOgHD2PoAzk44d58DL4t GwOn5uHYe8twzMx6DJ5di9g76zDoHhNiZzgwYI4bgx5rxHGPeTHwSabvciD2 did091Zj0KxiHPd8Ok79IAmnfrofp/98GGduK8HwZDPOzrbhjJWHcdKdK3H6 T3sxPMmK8w5acMH+epy7vwYXJNXj4oMmjEoyYxTRZlSaDaMzHLjksBPjDrsw NtOB0QTvsVleXErMG0fCHcfJwTjC96WcqUj+cpKvqiPiTcj2M9+gyi9juII0 LvF4lo3PCUg9H2WXZ3n5qLwim9Sd5ZPjWXZFjofvpQkc60pi4pXsjyW4ikHS V+XIEazh/6uJkBOzPSqnw8QsciyLOH+emO2VrKqUcB1P+gaG67NcTHvYyqPa XKPqXLiWXCptmGZHbBFzHK7n4NezjYrDx0n6Rp7IjeTiSH/X8wbdkOkh8WW5 45hyxRwbbc8cbiKqSSxlk3gjJ2XYeawNN2bbOVSGI+ZG1cV1GTwNNr0u0y6l uIZplc9g08N2Biu7suFWfg5Ts52Ynu3AXTl2zMpx4kF+to/zsfp0gVMh80sM bxW78V6xF/MYPi914xvi7Q8VXmKzBz9VuLCM8a+VbuKvtit5FVF6jd6H1UTp FRVurKqUei+WlnmwiJT5o/RR4lZ9zSty4WOi8ft5pFAGpcfN8xOB9cMZFtyf ZsE9h6y4m5h8B797txwwEIoNuG6fEdeSYK/eJ6R7OZk4FhNIxxNIt1eQe2Nx VbyBr/Zr4424JkEL1+014oY9dZgUX6/D5IT6mJEEahOm7DXhtnjGe4yYQlC+ jcB8e7wBd8TX4fZdNZi6sxp37GDYVoNpW6v5eKnC9G163L2zFrP2GJRI/DF+ 3eem29Tpv1XoVjD9mV5z2v69MYiFZOQlljYF1EsZLyFc/2xuU+bRJL3E2MJH RLPEfMMvNQk7C1f/bGlSJtgZdAqp++E28Xg5WW+lWSwurTQJ2xK9FWqvsmhh tVmQeo2pSdF2zDHk6Bas5YF/mMjT7OgPU5Pi7HCsE9jmERvMQWVn7k+z8CX/ 6wS0ebw4kt/MQcU7nMR/cRBJi1n47RaC9nZrMBY7LbJ4tpt1hGsV4hl2E1Dj eXJ7LHLCTHGgBLZJZF2igvB9CtgFtg+yXZKCcKZ4YQc5RhLbSkhm+xTVPsUa 5H1KY9s0WyASYpFu5b/DFiJwpq0xFllWQk+OlGVbZM9trrkReZaAFpjOD8cF VjmvQrOYvCokKReZAigkLUsorpdHTFGdP+YEFNV6UVznQ6nBh3JTg/JkZ3S3 wuprVj7QxSK5uJ/p6u5Fb2+vti86pOGr0KxITiICZ233dUgpmHeGetGOXrSi R9dPuTuq1N0bFZ0fAdZ+znjD4ZiwiLmf77AYpbMeF3X81U/YHPWgNlDodVBU utzfEztEDK+Ilqljo2UKwnmrQkd2Zmuq6lHXxwOP+A7q70RZZs1/82AccZkc cZjWf7GhSxTL/2Z3LcLccf+gAjBY/g/5B/36/sJyHUbrm/lduKRKg2mJR/P3 OoaQLfGl+qYosOubVIqEJy1FVs4iheFkeSVvFxm6xEL1E/QBlZf6MawfXSGy 9SZl0vycIo2OZaP1qSTmU3JFx538zRfc6XzxncEX1xnEd0H14Tkasitd+Mjm 8zwVa6w+TEG1gtxc3xFuzzvC7tKFkq7naTAeAfaj4vAmdgX0eU2aa7cwzP87 V5Y7eTQ/5bNy/dF+zs1TfbGO6M+bKH2dw3oBdJHgR47XNroT0flBCKSPyFei eSlTagF5Yv5dCJ4DqVioXQaRwWRt4gxRUDs1tzFmKE4TgM8NsEobfyT7Gye6 caUB3FgWxG0VrZhZ04LZNc3KT/3jBPjn+YB7zdqqFOQ/cXbgS4K4wPh3Lm2/ ujiG+5oQ/o3YsCCdi+lTu8bqX9vbVNMvHVqsNetgPbme8Y9Ojd8Xudux2N2m JPQrmF/FbleT5f/wdmIDp8+bvKI934UdDYLApHg+PzRJfTeSgj1IIb8fItOL tF6zL3cUyyuncuGt7ToR0ctGGmK47HRnkFxLN2+iEuy3HzE9d1QsxK808Yta +xTkh/leaei3ymZ1kn3M8dFN71HpfWvUq9zfRfXKOLyxQ441KYtyYff1KpgF 1A0Ey0GK8MV/nMRhH3IqNilpv+x5j4scEukiuhWeP/T+VdpoZgF9c1dIeaLT yYqBrB7wpAT7zexV7aGXE+KhUhYOqmmcqouN1mla/pG1A1241tJFkOaj26w8 4UUqIssLonUQ7jNG1/+wyHJEtIInIY37latGsbLucGQ1Iyau/4qF1iA63AAS eV//ywivasgYWs+2bqibq510COa2bhj52X2V5MOX6V1qs0OFx48ylx9VngCJ vUnRe12wBcbmLqVeb+johLG9Gxam5daYO/nda+jDKkOfWgXYUNulaLmANF7o cCnKLrW7SdN8D7o8xEgPfuQ085Tva3Hchy6c9FIvXlzXgGyTDXkGBiF5UnK+ 1Y1XEnswd3ufEm3nsnxlVlC5ZL//T37vjTZkm+18VduQa7Ew2BS95zrcpG0n 8nkO+Rz3UL0bF3zVh+HziXqrepFlNDJY+Xa3qvZ5VjseXN6mFOlHvAGMfqMH +yodyLE4kGd3oMDmQYHToa6lyOlW/Ra5eL+Sg7h1WQhTlvWqfmcsD2HSkhBm rIXapf7I9hDuWtaBZfkt2Olsxvb6Vmw3SmjmPCiA3aZWZZB3vzeA7YYm7Cj3 4I4FfbjotV6sLw7goMGDV9YGcPz0blz4qguv7RePsz3INNVjr8WLst4e/Jjo wn1vGTDkNjsG3u7B8Ed8eGG5G5sLa5BursJh0VQ3VmBVSg0mzO3CvybzTTjR hMHjy/H6KpdyQlvGt15WZ5fCxxx7Jb5eb8QZM9tw8owQnl3COQ3LC91ETFc1 CiTYK5BrL8XM972Y9nITMi1l2NrciJ+bgVV8a//W2oW9Tiu28nPe4GrBlqpK rMrT47ZP3Zg8vwVjXgnhnCf6cN2CkHI7NmNzN879byuu/aIHr20z48vUfHyb n4d3nN04xPf1d5nAc7tKxCQZkWAbPk6rQA3fyqvMfL7WdmBDE7DGD7xf34vX S6B2jb9Z7sSUxAZ87e3D5/peHPOiEf+aU4qYp004gemrvqnC3ENl+FSfhWdT jbh7Vx9eyCrDO4WZuH+fB6vrgY+LQxi9J4RbDzfi2dxSvJqXi2ezinHOvl6c tbUZd6dV4/ncMswtKMXcg15M+NaLG5e24aof+nDMM0E8k1GDKUSP09bnYszv B3A3r238Z+04/p1cHPfGXgx+1IxL5/uxsNCOv4wObDE5sNPqw26bF/E2H/bY GpDobMQhX6vYJVLLKuKFeLO7A2ucSm6Gb/i9+brWjw+IU68XefFynhMPp5kx fF4Fjn+pAiM+r8SQ560xMVdi0H1WDJytx4AZ1dBNqULM7fUYcKcJMTebWeZG 3BN+DH6yUZ36oKcDGPB4EIOfCWDQCy04/q0enPhhB0742IkTP/fi9B9tOHlh Pc5YZMPpXxgw4Ek7BjzWgn+vdOH0T/wY8nQDBs+0Y9D0Ghz3QBFOfSMXwxcX 47w9JH1ZEViUhpNnLcawJZsw6mA9Rh6ow0WML+LtuuiAEaOTJBgwKtmA0Skm jE4142JS3eg0p1odGJPh0MnyAJ+jY8m3Yw97cEmmGAkbS6gfoBYFmFflEsZl CdxfmikWvi7LYJ5ll5G7ryCnjycrs4bVxPdjVPHl7HJCBqsynRif7sH4w251 yBXS7PLDHj6DpXoCR5DAap0kYk7ChCwng0sdcQWbXJXpVisJKk6XMid7d+JK wviV6U5cdVhLy4hXZbp0zDhj7olWTWTziWl/jx24Ot2h0lcR3K9hWy3PLgjr Ui75qw/ZcVWalWkbY6ZT7biST90rWT6BfV2eruUj/Qnw38D4Jp7OFIZpvJS7 sxwK8h/IteORPDeeynXiecL+qwVuvElqfbuIoE8gnxeG869Fhl3iwYJSn4L2 H8p8+IFPtQUE+QUlTqVx/m2pC1+x7vNiFz4rFJjXtM//m+/Eq+z/xWybknc/ nm5Vm7If5jXMPmTBnckmTD1gUrLuGwjzExMJ8wT08aTusYT2i0nko3YZ+Nlc vNvAD5JpjNllxNhd9bhsdz3Gk7wvI6VLfPkuAv2Vu+v4VbmK38grGSayyXVs ev1ukZZfu6eeEy9h/+sJ9DfuqlVh0o4a3LRTiydtq8bN22twCyF/yvZq3ELI n0LYv3WLXocpm/Uxp2HqJj7z/qzA1K16tQ5wD4d4INGEJ1OseP6wDW/wij8o 9eMTfQO+qgviB74bFvCdsJCcv8jSjp9M5H1jm4p/MrXoRDeeX3jZXS7y9p+M grTyP1YtC/ykygRwlxhJID8bm2KxzNSsUqJIz+rlpFQGlZP1AYPIkVcYm5TH tlWmoAqkf6yW6lUGkTxK9jdjUIU1hoCK10r17wYB33VaVhO+y6KAUaCYKQ6y 3hDEnxz2T5OUbTSJXPtPgv8mFWRev0W0w7ea5aTFFN52Dq8FTvd3mIUDmJQU dqlVC/6P5TtTOtpraUQ8iZtBciYRaSeQyveZokGH/WZS/AGzSAvFNN5BZVxA OjooA6eYRLCZqqwLNERCLNJN/JdhIkocNvtj+bolQOWYBGqyjX7lZC6bJJ9b 7+NsRSg/v17EpgX1fuSR9AtqGOv5oMivlqW8Yj6cBf5FH14srolpdGUWPdCB YFtP2EV5r6JR4nXU9Xhf7N/AeSDCLru0tYAj+u1KkM3qsJD9CPfjyMbuAZIb GNmJHiZ9bSe66qFPuQ9X7sz7jthvi9oiD7NzxDDawLCwPRQ6Jsr+x0dTx/0D Sms69IO0sr5Q+BKOOCHrifg702nm5pRP4COS9n+gf21HuvY/4h2t/770uP8P eXzU/rouLJoP+4GLht6QrL0wdVLkY9H+rghr0J+MC6uacXFlUIULSO8iZB9J sr+oWiu/iGGUnukqWSdoxqgqbb1gVFUgsnbAU2AuVpYUdLJiwF5Fyj9WrRk0 YTx7vIxHjq9uUekJVdpagaQvjYxcElT67CKhHq4MsolEXOngn04aPg5n5DRq CwY5pP1sv9LJF9G25M/otxIgacaaffgBkfUDrTo/EO6XpbGK8mOjDc6M7rI/ JirKl1UGEeErUX5eQySO7LD/+wKDMjSf6482DS9E6KRQsb9OsF8tBcjo8pOT tYNzwhv0z5azFkN3cWrZ4Lywnzq1n0DWJeKOLIyohQL+/E/kJYzAcTk+nJLX qG6JaCvIZntRkRjLcEVJAJPKgri9rAnTeJ/vrmnGLEMrHqnXdPjfsHThbT6p ZcHgfWsbPra34VNbO+bZW/A501/bRYrfqVYCvnZ24ktZVGDZF+JWkoW8W9Lk K4e2WCBV0kQWE75TiwadOlk5iDlTmcoTzf5lrk7le15k/7/5erAuvPte3MzJ 7nu1dhDowe6GHsQ3dmNvoBuJwS6lBxBZP0hTu/B7cUic0bfIOkNma3fMYKX1 n80gtuq1tQSl9S8b8pFH/s9XHudlUWGA5rxezOc1a0EWF5QOAfvJb9J29Msi Q6QP1a5Fy0f0APrCzu4jawiaCoAyS6+DvlOgXqzT14VN39XKWoBCZ0OX/CzV skJ7eImBj4DaLuVvLrIxX/mn5wiRIlEkqIu6qNd82MeoRqoHg1oFqFdlcoj0 LGsSsZofe6k4NtqXqVOzh99vOKWkEE7rwv1IMyMfWEYlOmfZgPAwUhE5TrVn AWePRrWEoR1jUKsbfdGuI2VqdUR52utRlxQt6w4vogyMWusPDx05S7VbIi5y OT1a65OiyyxKuSJ8TnXd2r1SR4YHUb2pE2H7nr7wjWM31a0dMcDja5z4syaE iqYOFDl8ShQvkFzsC6Dc34SKhibog62obGrjEZ2o5ZehjrFe0uwyxdOLNbUh tYCwvb6FMOpRwJ9jcapYoF5gPtfqIXDa8f4+C4Z8V4OT33erBYRXNntxuN6M w3UWVZ8pYE+QeimxBy/sJTQT5mWx4ECVD7P+7Mbs9cAWTl9lEeCwxaTqM4wu HDJ6cJCv9oN8b8frfUioa8SCtCCGfdKDs78C7l7Vg6UZDViQ0ohvDwbx9cEG zN/XqnyDj3ofuG5+D855GXhxcwtW85Ep+wO+TGrFvP1tyqvbq9s7MXdTB57/ q1t5l7trDTB1RR/u/R2Yw3OatQ54ZT+w1hrC7xYt3uqB0gNfXgusqGdsYMx7 JWXLCKq/6oGNvH+bvSwz9GFRJetNIU7dmC4PYX5+iNNtYHFdL3bxMZRQ7wn/ aIFd1R4k19mwtdCJR791YvjDQQyZ7sCIBzndX2zB75yKv7rcjSG38GV5UyOG 3FSC1xfmYO5XevxS0ApeOraxn1SrnZOwOiQYjYg3W7CaUHvpXJLkLcClL3Vh WZ4Vm00m/Flvxe91JvxeX49FxWaMfLULbwYb8EK7G8+0OzG504hp3UZ819WC 93N7ceu8Xlzwcg9pMoQzHg/hxOkhDJ7I2cg93bj8C2B+XQ8e3dWKSz7pxdxE F8G/Hv8trsXlP2Vj9MIarAgCST7g1X1d+LzGix9qOZU1A9sbgN87gFXtwEIb 8IWpF+9zrvoWx7x/Wx+eJsZcutqAd+o6sIyfwzkfhHDu/ICS7Q+YS2J+WA/d nGIMf6sG1/zShjt29OKxQhueKjDjMaLT9gb5LgNXbgJGbezBdSkhzMoKELE6 MHQL2/OkPi0z4yuGSV/n44bFHryT3ouX9/XilFc7cN9KD36utODBg1YMXVOH 09cewNg1JZi40sl4P0756C8Mfrwcg55z4+TX7bhrlwMPZRkw47AV0zPMmJJq xDXJEswYl2TFyENGnJNsx3Di3qnJFpzEsmMO2jD4oAXHkroHEqmG7KnGcesr cey7FTh2rh4nvWzECa86lSmAgU85MfiJZgx5rgWnfdqLob904tSf23DCN22y uHDaklYM39CJob914fQVHThlVQfO+IOXuq4VZ2314px9zTg3vhdnb7Jh6IYy XJDkxHkpFoxMMeCCvfUY8ooesQ/4cOYCNy46WIcLD9bivG1GnLXEg5PeDOCY B4IYMMmBuCvLMGh2IU55Ix9D7t2G429ciDOX/IYL9ldgZGJ4IWF/LUYeNKrF hJH7DRi1j/3t0xYXLk6qxSheuqgajE614qJUC8YccmAMMX8UifhSQvvoNKeO BS4+wS9hVi0uZIiUfxzR/2SpwWjCtjQVDYVLCdzjCOGRtBwjdWPTtTbj0rW8 LBmINgPz0lc6B7ksTVYw5ODL2OH4dNEAuCzdHnM2LiONX04an0ByH5dhV3mJ Jc8W0TpJSzwh1RbNj0uzRfMSjz9kC8cOXJZsw2WpdoxPsWMsr/2SFDMuTbfp WGCNmYgJh6y4ks0nMr6O8U3s6hYC+O0ZDkzPdOLeLDvmMDya7VKLAc8xyJLT f/IdCmf/W6gprr9PsP+QgP8xw0dFzqjU/sMCF95lW4F90SF/PddF6HfjxRwn njlsx1NZdrXtfM4hM2Zx/Dv5TZ3Kj2pKkgU37Sf07zPjCoL/ZYkGjE0wYDSB fuRufoV2Mt5hwLmE/hE76vDv7bU4e0ctRpDoz9lZj/N2itT//B31MUNw4Y5q XMQ2F7N89K46hhpcsrMOl+6qxmWk+3Gk+8t21GP8Djlm/I5avrAv21aFK0j5 V7KOQScZTk8kq4q3VeMapieyVIeJf+k5zDWk/usYrt8ioRI3bK3CpC01DNWY tFmPGzdV4YYNFbhxXTmPuWldRczxuGlDFW5muH1zFe5mv7Pia/DI/jqlKSCb 5T8s9eKTSr9maM7QfGRBgP8XyepBfRALDSKJZIqnzbQqC5frsMggWuVqpaC+ SSkQLDYEWVAvDM0klmqBPfC/DsvkoJ/rRZWcSYYAfq2PBBnnV3XkcuZX8MgV 6sgVhkbOAldyzBV1DSqsrm+Mrh9IWotFILjGwPn5b/Uybf+dhWtZ+QdjhlhZ StDJGoK4d2NnG8K+7MRuvraisMkg0L9ZPM3zGIm3GAgHf0mf2+r5b7uB0/wd 6hR38vR2GBokMLfbIIsgezjaXh4VbxSskf9xyq5CAkeSkGhsiMU+A6Fjv0Fs iiUZ/GpukGyQTR7a/1Rif2q9VwL7kP9xOGTwIY0hnX2l1RGWmIgZikw2y6z1 IavOj2yJ+TrKrvYip8aHHL0XWXoPsqs4valwIZshl+m8Sg/yq9woq21AlalR aeGLR3NPsBPBti60cebW06to9UIFpXFRU3BCuD3i6UdZRe8Uou4Sij9iyj2y ozw2Yh89pJJ90dWB2PDCQH+1+36Oy6Ku2TSED2m78I+4ZgurDoSdjSOS00XV 3cdGsTpsOT7iNF1p5R9ZCWiPKi5EdPEjfth0UcPvmi5AZOeAphMQNmXXb10g YgNA7tmRJQCt7H821McM7O8lPZqOmIY/sh5wVXg9YADOqQjgPJLieeR8SZ+j 9AKY46lI+bksO591F1Q2xcmCAYe9sCrIIimW5TbmYgapZQJZMpBlBFk2uFgf wKjqIEZWB7TlgpgT1AKBLCVo6gdBXMI2Y9lmXHVTND+mqhGjyhtwYSlPhWGY eG8Tih+kDLefRvY9LcurYlkeEL0CbSuAbN0/RuUjigISK12D/PDyQY5f6+o4 bQdBuEptD8jVtgpIHNn1H4mHymY1NmLvUfWDvKO0FZQawnDZQiBrDMeqdQS1 VSC8HUBpDuRqawrKTF++2iKgLUnEaTsLcqNLDrrwSoUUycJAfx2F4WHDfpFl iHOUEX216CC7CS7Ev2W3giwy8OLkAs7O0S5E3S/Rw8gNhJdWGnByrgSf0tOQ zsRz/cX5QYwpZCjiR1ISwISyACaWBTGZH+0d/CbM4sf+ED+qx/mxPV3bgmfr WzUrfaYWvGttx0e2dnzMeJ6mkKCTBQZeyzxHOz51dOAzh1jA/MLRHjNcGfT7 gs1k2eFTeys+cbTiM1lysHeyRSc+t7ZGlRNEYUE2FXzHY2RjwUKnbExoU4oJ /RcYxA6/LC6s9bVrygnieXKLX4wEblOWBLqUlb+9gW6dmPkT8yTBbuxv1jzc Jzez+FBzD98Fyu5fa4/SWMho7lQrDRHPeKKtkNPSFSPbELoHSDbmRLUEoZYY 2CCvTTM2EDHJr7YZiC2BjpC2bNDWG909oI/4s9cWEAYrF2Wih1DT2aNc2ote glowaNfc3VVFXd7HRfUWwroLOs3iH1MxsdHjxP6fsgKo05rUCEizY5Xiz1fG qI2O2Rc+pidWqmO1Q1gU9rAnnQ0Ke+HrVqcoaxz6rh5Udap8eBdEnFbXodWr IaU4VssqB37SVFvQCDeROEYXdefHb7ucSkQtI+ztL3IpmmlDUTPQrjbiEDB6 tfyRq3HkNBnkFCWuIvwJwFe2diHb1Yzpv7iQ5QdKfM065Dm9/JHnuvgSc/lQ 6A6otYDShiaUNLQxNKEs0KZDebA1ZhIqgi1I9/dih0fzDZcqm96I6xlWYrnF RkR3KKzPMDuRZbIhzWjFK/H1OOGHGhz/rgsnvtyK7/a7kFxrRjrxMtlk1pCe fbybFsJb+3qQaXUi3eYm4rsxd0cnbv8NmL06hGf/bMPDq9sxZ3k37v61D1N/ 7sXNP/bg2u/6cPV3xMyvQ7iY+H/i28CF80OYvBi44Yc+3PhjCDcsCOHmn4Ab WXbLzzx2CXH+F2DKz8T5jcDDf4UwZzOxfmMI920hVsaH8NIB4OUU4KVUvkJe Sw3F2PBWBkm2oAfr6prxQ14Ptjl6cSgAFHYCpXxVHwj0IdELpRUf7w5ht7MX e1x92OMEdtv7VNlON0mc+TQeU8j30SGSbQo/oMN8EaaQ0ONJwXn8/MvbQur3 lcy+snwhlLCNLPgcNHRibUE7VuS24IXfmjDuFdLdQy04eXYQsVe3IObyClw6 6zC+yzDi6xwjtlU0IZt9/1DP27jEh/+ss2BejgWfVdjxhd6BLytsmF/pwsSP /Rh4SzeOu7MbM35twDvldrxVacVbRvJDox/X8OMeXdyFG/kCmkVWuna/E2cU 1OJGux/3GfowZDbfrSMrEXtdHYbNacF1RMTrlzfh8ewQHvkjhImf9eKmRV2Y tdmPZ4rMeLbIiKmbihE7bTOOfbYMr9b0IZX3cDvvzarGXqxp7sNPDYybgCV8 MH1aDbya04vnSz14odyBpw+2KcsOdx9w4Lwv9HipStRqeY7z2/FkUg/erghh yo42nPOTFwNfNhBbKzDu+zZM+JVtvjVjZrwRz2ebsU4sGXh7MJdcM3lTAJdv 7MFV24Hz9vTigu0O3J9qwMxkPUZ8mIOYZ8sxeUUzFtV0KSOMQ15pxNidVRj2 ezWGrtdj6NpqnPJbHi5YSXxd5MDJa3ZgyPw/EPdIMQY/X4fj5rpw7PNunPiL BafuN+HUA0YMT7JhOJF3KNH3rAO1OPcAOSixFuew/sJkE85XWvgGLX/AhLP+ 5BifVGDIS9Xs04LjXuT1PUP0froRQ16vR9yTxRjwKN/033TilqpeTDb14mLe t7MTmnHW7g78e1cHhv3VjKHbmnDmbiJ/ogfnpnrCW+c9GJnahmG7ejFsPT/H TRU4n3w38oAVF5DlTv28Esc+ZsLAhzpw7vZ6XJhQh/MTq1lXp7D9/L1mnLvJ iWELGnH8yy0Y/EADBj7oR9xV1Rg0JQOnL9pN7jNq2H/ArHYWXLi/RmH/hezn 4r11GLmH+T11zNeoZYGLyZNjDhgwJtmoLQckuQT9+aQcle7ko1wYX7b+i87B JYfcGJPqkqUCHS5ho5O04jRnNJZVhLGHtHgML+0SErdSVZA0SXzsITsuTXOo mHU6jE2x8el/KWGcKdVcO8yBS5LtGJ1q56OXKT79x6SoPEaThseI+TUmYq7E WELxmBSrai7djGM3xHhcxa6u4cjXs7vJvIBbSY93/D/K3gO6ruJ64xVXxZLV u2RJlty7AwQIJHQwBEJLAqGFhFBNSSAQwFTTm3vvTbItyZYld8tFtnrvvffe m9Us6XvfnnPulcg/6731tNbW1DOnnzu/2Xv2xNXj0fhGPJ7YiKcYf1ogPrkB LyYRvAnfryY34XXC/PLUJqXhf52Q/npKPZYn1eGtlAaGDXg1qR4vJdTjRT7Q z8XVEdJrCek1eIz7ldnoD16sVtr5uy7W8CWuxk2RVbj+TKWC9LmnKjHrZDlm ErgF0AXOp1E8w0vgfawM08LLzSVi5oZpx0rgI/x+jM8qiwIoM8NKMSOc946b zAkXKdY5vgRzGZ9PAF/ApuaFFZniEi4+VmTA0mPFvJ1LwkooRZKl4ovJ44tD CwxYcqSQv1NLQwtwPXH9hrBi3EBcvzE0H9dTbgjJw43BeQbcFJzPW3HzoTzc cjgfvxEJyjfg1oN5Zt64NSgHtwXm4HcHcnHb3lz8dk8+btuXzXQO7jqYi/sP 5+EPYYX4M58/Mf1/JbYe76Y2qPXUvszvxg8lPfi5vBdrlPq/T3nBE1OANZV9 BPc+hfPm/C9T3bU065b1GMFeuN6AdeWCDmvLuiQmWQry15d1G0M+UOvLOi2x qZx0vbmsy0KhvQW2scq2sk5NSjsssL1MFoxSVF9mlA4V7i4lUe8uk96zAvky Tfax6p5S6WczxbL9rC4sbwwDy6RnHVQuzrQYR1AphRgsclhWBCjVPPeLl8OQ MmHzI6UCKaHEZPF6GMY6IqR6hCvXhmLQE64U78fL2hBR2qpCigVOlBExzpQK nZ8mWp9h2VlVX/KscJb7Oce6F9juebYfSQxnaMCFkjaZOcBDkSIVcvOoUuGh yyWknSvFsv1l1r9CiSG6x7JCbFEz4ouaDYgrbDJzQXw+s3JbEJPbiLj8ZtK8 RvSJBc1IKW5DbnUHCuo6UdrUjdq2fpL8ALrYh+pnn02WDdcJ01Ln5UlqdLNZ Jh27MLlpNoDJEkDT7U+aWz/ZJZ1RQa7VGBYC/6WGfFTNIND8tU8CfrMJF3mT YH4c+jwAy/9yVq8V/ILyfzVx2OamIQRNHy8HY6lO22i5MKCtOseygdHRyfp+ owNA3SRAM2qQZZh+YeqvmzcYMX6qOgOL/8Z3C9PkBfX3Wx3fbTCNYOaT1wUf vpO+BT3wIptPTvvmy0s0vVCG3aazzK+gS0KZfl4g3t4L5HUS9hfGV+MABd0G SZDXZ+hZUjSTTD8nv0dx/6wi3UygoI9hrwwNsKzLaD5gmDQkIEMAIqaZByUq Tx8ScOImnZjLTWeRM6cT932zutUa78Kq7uRWmdrvSqZ3Vpyvc2uSxrHuyS3K ZECsBVI7jIivhgAEeY1xI9t76Spzxg1qzMDcVOSjvNKI1wAX5TVAGR0YhwHE isA4LJA8KZwwJDB5ElTInipWAF3akMEUk3HAZJsCzWhADkCo3kGfTdBhGjNQ LgJkQIAnLE4A/XiyxpkJEvpqkC8eC+T1lizdqwC5v8M4BmDQvBooMwNvcX8g Z7lIHbsQv31ym7IkcOBOnESSumDPq+3IK+yqXzYZSZiXrjn/WZLWjV9xLzdl dOCO7B48kNOJx3jnnuJNf4539rnSPvyttB/LywbwVtUA3qm6ig9EagfwYb3m w/8LYv1K4r1YHciQwMr6AWV9oHCfed/KMAEx/6v6QcnjPfmmfpCvm5R9zXrf qHw1bMCLJ8MI1iZTBG2IQJ+3wPjaxn5skEU8NzcNivlY8zB2NA9id7Osqrmn ZZCPvTgaFDMEtRBAOxk1tGOEt8PolUBEWSZ0DuO0rA2gLBOumRbpu9ilLdQn awVc6dGGDgxiq8CXWMYP4vvGkNQ3qsYLjNYHxpX6ZHU+5eo/e1CGJHMHoUYE CgfHtbEAQV0rRbSFGvMrKRLCHeZnRAYBzNX4gZgfcCueU8EQv2D5Cr4LhrS6 aoBBCF6rLyytbSMoXjCk1hKQMQA1GDE0btqPVGJLqiE1RDD6i6I8AjtL1AHw E2TMlpBbTT4sPdQPlnfLWMcoak9XR4311eIGcrjjVvoyB8rTwlXTmInWTgUK eG1l/n9+7wgye64iq3sQB3NIycE95PtRxBPiE+pbkNLYjpTmDqS2dKr10ZJa u5HQpsXT2nuQ0tqFVIJ9Vns/Utp7cbRmGCtSxvG3yAGsIAp8F1uDH6IrsSG+ BttT67Avqw4heXX8Ya4jflbhHxEVcPm5Gvbvd8Hp3SG8dbQNq9jt/uRUK949 1s3juYoXgoaJZ8Bt64D71g/hhu+GcfP317DgqzEEfApM+xDwoXh/BHi9D3h+ TFkxBt8VzP94jMI6nwN+K0cxbSU//uLoLVRby0xWEpd18V6KAF4/C7wdDfwz BsTzccbHsTyS5H5pDB8lAh8lAx/Es/7JcTweTOIPHMWy7eO4c/04bvxpDB8k AN9kjOPV0BEsPzqMU3wtnt07hj2ZXTjf0I3ojl4+3VeRcnVAjYdFEU0vdw2o d0DiZzoHEdkyiMsdgzhaO4hXg0bw+KYBvHm8Hf843ouXj7Kshe8VvxTif0p8 ceaOjuAKn4HLRM/Eq2PIINbn86e+dHwUJXwp0prGsD97HF+fAl7eeRVv7G3F exfr8Z9L9cjuuIa4a6MIbB/E9uoBPLymEl4PxcLjgUzct64Ub2dX4e2seryV XYu3Mmvwh8AGuD/SAfu7x/BIQj9e6unCXfwazT0CuL7D39NlQ3D9wxBs7hyH z4Fm+HxxFbZ/G8KDtcDv8/mb9Ph23PdzMl5KKcejkY14t3YUp69ew2vn62B5 yxgWvT+M57mfF4jzj5Y0w+9gDjx3V2F+Qjfu7u/Dy0O9+C4fWJ44glere7GV /acQnvd3ubxvydfwh/g63BtfidsSKvHk2T5i9RiuP1wH2/9k4c+xXTjSO47f BLbihrNFeDq5GR9mEe0LgL/EDGPpvi7ceQjw/bQLhr+UKoW/35cNeCOW78Lw mEJJr7B8TA/k13wvn6tdfJ7C+Rt6sgIOP2XB7NEU2LxbgnuIwasKRjH/K8Bu QzW8DpF4DlKCRE/oc6rYzBnTd1Rg/g/sdhxJhduqY3D8LAuuPxbD8e1C2L/S AJtXGuH+Q7PC9ekXy+F/qQJ+F4hEkSXwP0OsP1smg9Zni80egp9KF8GPEOP+ eT7s3ygmxlfD7q0O2C7vh8ULXXD7vgl+ITWYd5Y/f5trYfW3Uti+zT5DxDhm nRiGT9A1TAu9Cq/D/LU+0gLfsEpFbbOIywG8N9PJuHPiiPexDZhNLJ51dhi+ R3rhuS8HPsfLMCOqDr6RlfANKoX162Ww+mMb3Fc1YPrJQgScLFJYP+NMCY+/ AnMi6xSyC67POFkD/6M81ueGYH4XcN2Dg7B4qgNun3Vh5oUq4nwNZkUK2hP/ zrAdyuzTRZh1qhAzTheSLnMx9yzbPVvKeiVqGsGsi7WYRWieS0KdT5l3pZHX au7lBn6GGZeYknmkZylnPYN4IOCPpBgGiIGAzDqYH8Uql4THGWMvZA6Bez5f mdkE8HlRtZh7kU1T5l+qleaF0OddrGFFKVx4qQ4LLkpYgyVEv+svVeNG7sKA W67UmNniDta5M7oe95DWl8U0KFX7H4iHjzB8lOT+x9haPMnwL/EN/O4/k1Bv 5oG/JNTgqfhq/Ik0/nh0NZ4g7T/Mg32IbT1wuQb3XKrEPTqJ/5bX7pZzlWqy +5Izusr8dKWaiuF/nM/S8XJ4RZTDNbzUAOewUu7EhcTtGl5JEQ04U7xc7qRu DxK5F0ncm3StUXoJn7xjJTwLHz5x8tT5k6xFhPFnHOWdOEbmD5N4CWZx01lh 8uTPEiN5RlXMzB6zjxZLzBTOEQnJx/yQAiwMLcQChvOD81W4MLgAi0IK2Qpj /A1cGJyHBaTxhQfzsPQgof1gAX51SOK5WBqYY8CvgnL5LzCLmH7DgSzcuD8P N+3Pwc18Xm/Zy3BPNm7anYVf78rEzTszccMu1tmppQXh72Zbvz9agCdOluBZ PqtvxtUodBcHB18WduBHfdE3wXDRxIuZfr/SvStsJ6Z3Sajw3CAplq0m/kq+ LgbJ4Hal4md7DcsUw7PdtSWdit8nxzeWkudLuiQUnX1ZJ/+VdJhjU6lg8xbW 2lzcga2loihkireOcWwr0UUWoSeAb5dNdqhNGMUubkYRvwAlogUn5gvPqxUI KJbYV6LgvlgWJOjAPuXrcH+J9JcDmT7AfAlFZKWBoOJWg0TYkpD9IWKv0H1I MTvPoaqlUMLzEdZkKLBf0maOoyUEkGPF/Bde1MILEcEqJ4o0OUnePlnUglPF E+GpwhZloXeuWNj+XGErO4rnCptxlvXP84AiWXaRP4yXeDkuMe8i618sbMKl wiYDLhY08j2Kym/E5YImXCGfX85rRDQZPZb9npjsJkRnNTJsYFiPK9n1iM5p UDyfXNyMzLI25eS+vLFbGfO39gyiZ2BEwerY2Ji9STu8yIS+OhMrD+0j+orq v1iw3Oix3mSVbzHJKH2yAn4SYf+/MrnlLxzW65XMJrD8Jv0ox8e1leRMO1BK eB3Jjd77COOT/eAZMAjNoYDSwou2fcJ9gEkvb2Fi8/86P2t9mGESlmvT8CeO 2bjaugVchcPz+AOT1w23PL4sjHBbdzKuO7HcM19069p/L+KzJ5FchLhuKdwu XMgWhOC9C/SUhvBW8CeCz8jvVUgeoGvtGTdIJmvOKOzDTFK5qO81Jb6VqZoY /mu03iVxfsmKes0cVbaQ+sLiPiVqLoAQuVTjCczK7YFvTrdar014WLTwQuau yiUNeZzXxjWhTTGjW7JG566JnXBJ6IBLsmjsCaFuyW181j20Be+UKOW82PIn aqEAvx5qdD5F11d3mCBeIF+BvDLdF1qfqqVT2jQaT9GaMqaNSnKTAt9C8yOQ phUp23yiOF9cgW2Bck9tMoGCcOWhIG2C83VLf202ASnRaP1v3HYC8Ns1QE/W 2lFHovsLVIp6bSaA5r6vQ+d5XX9vbpocQIY306YBmJsGM3glmeeaILP5nBNa Yc+rbhXXAkM8v11m8e1mAbBMaGesFeYJLXCO5x7ieXBJHaaBidlsejF38et0 bR2d32V343be5HspD+X34c9F3Xi+uB9/ZRf972V9eLXiqnIQ+FZln1Lx/1tN IbiK/1A+rSXE1w7jY3ahV9QN4vO6YVH39/F5EIZX6n7yusbsQyr8sm5I8gwC /QrrWVw7QLTXtP8r6wc05DeIoYBBYb6tRFVN49QEgXzxb2B0PijAL5MN1jfJ gIG4K7QU5qdoTgvE8eDuFlHX72kb4gMvzgv2tg7iAOlfRJwRHm4f0ickDE7C /yHiPzGImC/of75LVNaXugWwo4idl/vUZARBfIOoJw0y5UDNNjAt+McaMl1A lg3Q1hQwn3AvODRuytPXF5CQKbXSQM7AqLnaznyywwJuIasCWqm8/1qGQJwZ GAST9U0EnKWyQdSnzMsfAHJJHBReoLwB8YGolirQ6/1iwUGtaTN1HLyfeh1V 9gv/CQxz5Mxz5aSlrpvKU4sZkuqye4aQ1TuE9K4+pHf049MzdfgxZgC5/UAc yTyusRUJze1IaOpGXDPJvFUIvRNJzV2Ia+1BYgs/nnHNnWaPIrG5B+fquvHg EX5ivimH/ZdlmLKyEE4ri+H8VQHcvyuC1/dl8P6xFNN/oKwuw8L17Pn9TDD5 rhyOAuhvC2yPwZOg7SuQLeEn4/D+hPkfaWmvT8fg/w3gTwCaSdiewficH8cw m4A8b9UYFqwZw/z1wIKNBL4NwNLNwA3iZX0HYW3bOG7aCTx3mgBOCH8vdgwf Jo3jw8RhfJc9ghXJw7h3BzD3u2H89TifZn6Nf7/3KtzfHsRje0aU26TdfJN+ LujH25cG8UJoP/6wpw93renBjSuv4j3C/RdpgO0ro3ib8BNcBVi/2AyXV2px 97o2vEFAWpHai2/YIftOeQv+nv+j8GVND76u6sQ35Z34srwNn7Mv8uqZbpg9 2IXrHk7D7Vvz8e/sRmzJGgS/VPjd5xV4fEMzNqb3441zzfiksA0bGrqxo6EX B/j2nCL8R/ZdU57vo3qAdP7ECrgn8zHJ5LNcPXYNtfxxvNQFbGzoQ9DgML4s asby3Co8y079wnfy4fpoLvxfLcJzF2rxKgH9pewavJhDoDjRhRtjx3FL/iB8 tw7D7PEBWCytx9Tby+D0UDEsb+Mnlt3z33Tm4n5C2K93V8D+3Uw8PNiHx/NL 8NvLBfjNhWZ81jKGHXybfxtVgpsvV8LzgzEsPsB2+UW4s68dv77aj0UlPVhQ 24BFTSWYUZyH2e25eKBwCMsTxrGBb/7pDuDzBOAf54H7o1qJrKWCwPDjOdx/ pgt/CeOzsa4JZi8k4behQwjlo/96Wht8T2Vj2qlcZcb95/hurMi/hg8Lx/EM 27kpdBjen1fB7LkCXPe3Krx0bgRHmoHrd/A3cWsfloQMYUFoK6Yf6COkj8L3 6CCc1jTB6asaBEQU4bu8QaxM4nO7tgm2u4owLYjP/ZE8QlEupp/Khy8hMyC4 CDdu6IJ3aDzctwXD7t8x8D+ZD49NeXB8vQBT36iC1cuNcFrRBN+T9YT0Skwn AE8/XQI/wqnv8Xz4nczD9ONFmE7AcfqiAPavF6nF9Rw+rYfDyiaYv9wJh7f4 Y7WzFb+60IP7C6/hwWq+F+eG4fhOISyeq4Hlcv7Wb+d5BI7CM2gE08Or4RuR g+kn8gjBxQr+/QiaAuABhFq/Kw0IiG2G/6UWgj2hPqQZ0wL5nJwuV8At9W0+ KcXUv1fD6u898A8vhN+JEnVdAs4UKkj3P1OMmadLpPdzpowdZsu3+mD1e2DK n67B6+c2WL/Tjev+PIipv78G90+6EXC8Vp27bKvaOFGoHd+xfPgf4zUIz2ad PMw8qYG7QPysc2UGzDlfxf4H0VkzCbioiQJrgvasSw1M12PmRYFuMjoLhLHr BNTJ+aLKFweCi8i8Cy5Wix+ASzVsbwl5+NeUmy7V4lby/W8Yv418LMx9R1Q1 7mT8ruhqA+6+Um22CPeT+ZeR9yUUjL43qgr3UO4mst9+qUqh9G8iq/Dr85Sz 1Uq5vYRovUimn5/RsFoszgWpvYnWHoRfZ6K1I7nZ8SjfuDCJ82tLMHYKr4Ad GdqJ+VImdZzDy+DGt9GTaXeGrqzndbQI3gRrH0K1aMSFu72OFfEUpx0rFnPH I4WYxjq6sA92pFDMHUnQ/kcK4BsqpOx7tEhsU0N5Y0MLVL7IjCNSNiskj80E kK5nka5FZgbnM/twPpuZcyhfYphxWIzUJc8SMwnEswnbc4JECjA3sIA15wbl 8adtblAO5gdSgrJUuOBAHhYRuhfvz5LZK7wv+zLJ4Yt3Z2Lp7hwlN+zOxg17 MnH97gxcT/6+fnsGfrWN5VvTsGRLqkpLXHj8zsA8LDuch8d4EZ6PLMVrvFmK xbOb8RU/q8Liqyt6xRaeh7tR2cWLsbuuMjdToM2+sOJuYXCdw42cvrpUdGlr SnRQN9dAXQNyAXuVt7asQ8E4oVxSJdLRlBXu1xd3SsiLyZhY2TNNMleyvoid 5g2Cv4rVSejmssIfCb1IVOmy2J8sVr+N2Eoox44iUWftLGZHllFCebH0XMVV ImPYUyTAu7uQ/VSJWqklCIjkSsSP4r5CERbvLxIEDyzU1v4LLFIrD5gjqJCQ fbCIscOF4i4jmNsHk5xFQlgptFBcaYQUiJ/LI0Tio6TmsAKZnCL/LXCM9cKJ zBEsoxgQkU+kPpEv9c8UkMzzmnE6v0VWt2Mbtip9NlekCedyGxBJ1D6fV4/z uY24mCPSjItZTYjKkf1eymwkEERlMD+tFpcz6pVEE8lFlZ4mKvTKTpTUdSlD +NaeYXSytzc8fE0mxdvoanPlQ09Xm98xYXpuVD9rU8GtlcbY+r8XijN5pjNN sDdOgTdMUnYbgXoy3f+SaqGmvBuHAn43yTx/0rJxE27ojRburKHLhIW7uUm3 DSNpm03QtbF0stZeadptTXb4Bt3BwARYm8OeTOqU2wnHXBn4cVS6a+c85lGY gnM+3wMmZESQ9CxFLkr/7ao42oOUIwDurvLcFWmTz6VU1TAoKHeBh/A7Qdu9 qFeFsh1LFKR7EY1J5UrvLmljXEJPorQAvcS9C/iu+BZ2mdkpmDdWE/W8Nwlb 4qKKFziX0I/gJfGAQm42o6jLbJpEMbOYAF6iad2lmm9+J/xzuzE9p0c5iPfO 6Far08l0cDGHd01q1cN2BeVu8WIu365CV12FrkA9sV2p0hWcC8PbKRAXvbDS vLMJl0QiZHKryXJcQtncK7lLiNxCN6cnofpqqvaUCRW8UU8+TTepN07cN8Yl FCyd7AVQ99KvsXZSm4mdFVNPas9HHPxPU+v0GR3pKS+AurG7YmnvJBmj85nQ 1PM5EdK3mnRkbRMO/2QggLtjsRHkJdRa1u0FeNZm9piW1KWdnwxaJGp6ckeS uCOxW3DbgZfZgaE9xS6uDTZxMsVmakwLr9GU2DZieRsMsS24jtRuxrpm8Z0C 7phCcU/ohHdCB0NtUETOfx6PbhEPYxEPaUl6u9K9357ThfuyuvFATjfu5xPz EJ+kJ/nQPUdoeLqkD0+VdOOFsl4DXi7rM7PBayT4Nyuvkt4HNXqv7se7lPfI GmKw/3GtuPf/hDxuiy+E4mv7lfG+qOeVml4M+UneSl3fOKg5C6gTK37GDLIJ r+3K2sHJGxsUyVtMbFunijXsN9eyZfCgRlLclh+0r2o1Db9Ryy+OBX5QngoH CfxD5sqpgLtyRrihRXNKaFxecCdDsfuXpQP3k+WF5w91aEwfQoYP7RhAWJfG 8hEdDDsH1YIDEZTj3cM8zhNdI7z3J7uv4XS35oBA5DTTaqIAM/l+aFkjpion e0YUCKl0jxae6xlVFgLnuocN4gSRp3dWGQyMijDF//JP2FsmHYglQWSPDFvI fwuc6x1ReVJ2XowJJlUlb0mLqpKZk2pXHZJMZ+hgKGfW2otwovQe8t0tPzXg UOUo4nrGcaJhDMd5ISMaehDW1IGwZj4ex5r6zDJxtLETYUS7I/VdOFzbjoN1 7QisacUn8TXwWcMu+apqOH5dhqlfFyvUdvi6BHYU288LYfNVESxXFsDmy3xM /bIUtl9ms04ZvL4awPwfibmrgPmrR7GUuLxkE2XjCBZvHKcQl3eO4kai8I3b x5QZ8k07xxU+/5r4fOMe4DeUm/cQ1/aO4bcHgNv3j+OO4DHcGzKKR0+M4oEj wLJDo3glcpxYPI7PsnvxRUEjPitowtfFLfhnSi+s/z6K656pw/NnmvBFaRMx tgM3rWmB7evd+M3qYXxQ1K+GngSPP6vuxsqaTnxR0YXPq9rxZdYI1pVdw18i +rCrZBwro4cwcwU7uG+UwuL5Spg/Xw3Dc1WweKYKAR9ontTu29uE56M6sTy7 A++zB/N+aQv+dKYTFn8kxv6pErNWpClz7ddSWtAzNoaw4qv4+9k6bMjqx4Mb 6+D8WBrmvluGu7ZU4qkrjfhHViNeyK7Dc1GN8P5bBZz+mICXTzVjD2/zKb4A Z/q09d4/aB3FH/hKP8nX+1k+Fk/3j+Eh9it/Sxa58Qo7+YHFcHkyEzbLUjFr XwUeqGzHnwZ7cAt7WL5fZ8DqwSswv/4KrO5MUTpY0Yx5BxMF9+VgXj6R93AW vEOyYXvPKlx3cxDcVrXg8SHgEb5gb3Rdw6dDo/g9Ozb39w3g+qEOLG6hZPdh Xix/rM5kwm1dMmzfylEIOpNYPONMFmbV5+D6ria8XTuKkApgZTLw+HHglUuj eDFmAPPOaabfgmV3R7bjL0fH4bOiFoan89mvHlem8Buqu4hrxLQTGvoFnC3D kkuV+FvSIO8b8Hr2GJ7NGoTP9jJYc/8y5HKw+RruOAzYrhyB2wfN8NqpYZ7L t01w+7kfHgdGcf+lIXyRNY6/R13Dsxf4XIbUw+8gAeloNtE4E37HiAU+x3PM nsPCsErcsHkYLjuj4bo9GLb/jIc3u/t+pFv3HSTmd/Jh91YJbF6th/Xb9fAO qsU0sWg/S9A5QWIPy2ZeDly/zMOU5XnKit12RRXc95TwkOqVVzvXLwdx8yXg voJR3JEPLI4C/EKH4L2vH07fV2Pqq8Ww+WszXL5jvyB0BP7B1+AbVkMyLoB3 RL4KfUn2vqKyvlijSDuAiCpz62dcIaKe5w9PxDV4H6wibReSgitIxOU8/hLV tuFPXXBfX4mA8HzScB58w7Vj9z1eqEYMZETE4Z1emC+7BssnSNm7G5UVv/+J WlXP4Yt6XPf4CKzuH4bjW73w396kjTDwuKZFZKtr4H80k3CXjoAjWTz2HF7i XMw8Vqyoe+Zp0vascxVmjkqjLxr1mec07bqQ9xwStEwGECP6eTy9+RdqsIj5 Ei5knUUXK7H4QqWYppPYHbCEOLyQwL+U4eJz1WpS9qKzVZh/VvPIJkg88xTf 6lM8ZYZ+Jyt4GuUGUTlLN4kU7BJeqWjYPrycRMyPY1gpHEi/tgyFlIWOJe1w pNQguMyPtmQ5hxaLupqgXGKA27ESmVB4pAQeR4p1KYUbt3Yn9HoeLYFnWJE5 YbnIAl5EYlt4EnQZ46tZoGRaCDmacOzDfF8Srx/FR/KCCwSgDxeQZvwOFWA6 iTjgIB/zgzlSh2X+JF+WkYgZQwARdUaQqiOsHChwPXM/r//+bKMYMHNfFvs/ kpxFmbsvE/P2ZGDBvizM3pOO+Xu19Nyd/ILtzMA8ku98kvHCnely3Xdkmnli yfZ0LN6egsXbSMnbNFJetDEdCzelYsGGZCxYn4qFG9KwdFMabmT5bWz7Xp7m 48dL8Vfe21cvV+P95AaszG7DN3mt+Lm0R5Gz2JArp3KaObmFMiMXc/K1Gh6b KzC2VGC8mmC7upgkzS71ajUxdW2JQMB6drPXFTFf5fE/2yqW+dNrCK9riicV sH3JE3rWCZpbl4i2ihtoWfyqrmcoML1eS3PTTQLFGwvbzLXY5kLpkm4uasUW bsYUYZq9zC2FQtFbCLey4ABF5qsXtlkISBOsC1vMZQUCVpH1BmTtAQpTe4Sc 97LAEXvym7Gf2+7L08IDlEAC7gEVb8JBlgflMaQcYlxCSQerfR3Oaxa4Zt0Q Am8o6yuYzhf3D0fySMxhubJgwzEScVhOvUnCcxoQQTI+zoYkPEFCPpHbQMDO rjfgVFYD35tT2bU4nVWLs9k1OJtVh8jMBpzLaMD5zBpEZtQyrMNFSaexLLXW gPMptXzoL2bU4XJ2PeL5u55a1KQ80pc1dKG6tQ9N3YPoGxzB4LVx3Thbo1uj +lj80JtrxtM6yCr/bcbJ0ZPc1Rv0GL/1JvrV/doZKdlCJ9j/Im/D/zHm1meb G1Xhv5xV/n8t1K1M+vY7Tbs2TLJpN67TbjHJKH7CUH5CEf9/GdtCW11+Yqa4 0X38lF8yttn/8CFvnB5uDbvcLtjmdMKW3OxABjbP6yB+dyvcts3rMIddfqdO 5ozBPk/I3CGfb5CzaL5J5PzmSmXmmYS5Kk9Ben63KU8U5xK3K+jS2+DmNnAq VHxuZHcTs7tzhxqDy0AZyVs0vMLpOodTDFJBsgsFzzX2Js4bawvVK2LXkNyg K9wVnbMR0bkb1Ix4J5PxvE++NijgnU0OpnhldSmLdU0vrunAhQ1dyHCipVXo ncDXl8wt4xLxrapIU+bKfwuVVjSeqMjcoHTr1qolyVIq8kQN5IXAJWQNBe7G Zo1gLyxvrv5bmezlpR2xo5ejYp4G/DbKhN6YLaF3ohaXTQST3ZPkw+WhuFjA V9VN1kQ88vnI3qclK9yWD6AAveQrb31JGjvLdt5Kle2jDkz2Ie1Q9Cn7Fora VV1NtKoOptX7pidpxdKsl17Nh83KOIR26Np4hXgF4HVWV1iGhYjbnkRwD4pL nFzTOLmmjGp3JK6VVdpVNcmT0CGmVWC9zWwp7GLaYR3TAau4DpizmkUM4T26 FWYK3FthGduK67jJlNgOVdeRoS3BfWpiuxoM8CLI+yV2qIEMMQSYzYNekNKB +WmdCubFoP53md24NbMLt/Ehuitbg/p7Cff38wV4mM/kE4V9lB78mQ/ik8U9 +EtxL54p7cWzJYT9sh78o6wPL5X3Kx398qqreKOi31xQn9fuX5X9eLuqF/+s 7lPA/z5FVPYfkHZW1PSr8D+U9+r68H6tZqP/US1x/kOF86oqs6TaR7X9zK7p M8iGBslmBRk4EJW/NoBwVRs/MMfH9f34rFGZ8JspFT6J/WumZab/V82D+KHp Kn4kuKxifE3LENa3DGMd0+tJ9LKc4Ma2YWxlfDPBYjPTormX9FbCxba2AWxv HZI0297WKris6jBfyikWUmghOn8xM2u+qkYIKOJftmWIH+ON3K/ky3YiUqYt bXg91rONDW0DyquAbMdctdShuDDcIB4HeOzrGvqxuqEP62q78RNBeWVeG/y/ rsYjB6+puc4X2kZwoXUc51uAU03AUcLGnka2W8fuRm0Pfmb4U00Hfqxux49l LfimvB1fldTho6wm/JjNfRUDr10axrOnq/En9q6XsVd4d0gZ7gupxr2HGpUn rRt3t+LWvX3wX9sE+89rMPeHEdyy/ZpByNlM5+ZdDPeP4rbAMdxCxr6BHH7L FuDhk9fweOQIloUOYsEXY7h9zzW8lNCJV+Lb8WZGO97nR3BFWTc+qdb8OMgd /rThKl5OGsYDh4CXz0FN+/5PRgfey6nD++wf/Jus/dstvbB8aQw2y1vxxPlG xbhv8vd6eXE7HjjWBfs3ugkS/bj3WB+Ws3MmfiNeLGnHK0XteCG/Fe9mDLMf xvYvDyK8eRwfJnTjkfgKPBRbgfuu1ODmQ/WY9WMt3D+sgfUrZG6yt/nzdTD/ Wx3324Cp/6qG60oC1vODsHq8lfvLxPUkguuvVCGUty6/dwwf5rbgEG/rNj7x 88+WqmmZritLYPXnPFxHcXirALb/LoT57Wm47tazsHvpvFI7zrhYhTtTGvFk 9ygWFo9gemwzZhSTGw8UwOadePjtzMVtlT14eHAMf+TjsvRSO/z3kUj21OMG fleujyqD69vRsLjrDFzfT1FTQ/3PV8B1RTIcXoyDL3vKc1JysbCb4LMuEdb3 HsPUZT/B47Mw2C0PhuXrqUqn+NBIN353rR1LBmswr4eU01SAOeWpcF/bBscV /J691wvX18m5L0fD5dNMpbaceYVtV5G787Pwq6pyLOOj+drJcTxxgnx9qoi9 6hG8QZh84EIHfM8V8nwLcH14DZ4OG4X/xz2w+nsVpq++hnWNwIH6QQRE5BDY shTUzThBcDhbgvvPdODhEN676GF8S45/LI4f/MBiPHi8F2HdY3joYB/MXquB 4z+bMGdlB361qQX3bevAy2dH8WMu1OJ1H2aO45Goq/hP6hi+TBnHv+NHsJzP wl/P9+Kxsx24+2Qjlp4ow23hdbhhYx8c1+fAefcpuHyTALdtcUTxYnifIhwd LID9B/lwfEOAuxZWbzTDdWOVUjR6HMyF01c5sHyzENavV8Hh3Sq4bC8iQOXA 8ds6gnYP3H8awK3x4EcZmH1yBF67+uCxlV2NXV3wPcpfoIha2L+TDdsXK2C9 vBduG67BP3wMfiEtCmgFjr2PEbIiRLVdDr8LFQq4/Xn/BLb9LzXBR8LTQ/A5 NoRpB4rhdZTX/Vw5Iboc9u8XwfL5Rlgt5/6O5CoQ9g3LgndYBuvnY1o4Yfq9 dpgtY5fu4UGeW416RqeTXv0ja8zM3JQm2+dMjjLNt/9nBQwPXYPtQ6Nw/scA 3H+swzReIq+QDHgGpzCeBu8DSfA8lAL34Ex4HE5Twzxex4rgHV4Mz4hi/kSf KGPfx5MMxhi8T5bD63gVPE5UMa8c7hS3iDJ4UFwiypUZtlIfM9/pWKkCZKcw sjNpmF9huyMaJwszUwxCxfwsS5YomZXC+ahSIot2J6yEPCO87EQYduE9dKII IHuElKjQlfAssEyeZrwILoRjFzK2W0gx88UEgDXJEO7BWp5rMJ+DUA2iXUmW sq1KE5y9JDyUK9uILplZZBavQ3m8Spr4kJQl7R2UC6/AHGWX4KOE8aAc5smg UGAOO48HtBj3zCh892viQ57135eN6Xv5Bu3V4v57GPILELA7S2z/dmWKCSfT M3dnYcaODDFi2JFG4Jq9Mx2zt2Vg1taJcOYWsjYZeu7mFCzYnIxFm9PMBabF 358k1ydi/vokzFmbjNmUOetYbWMKbiSC37o7A/cFZuPxsCK8cLYSr/EjK2gt i8Z/W9iJVWX9Cqml7230075OUXWn0iWvK+1Qc7lXlQhKC36LIbidwLSiZQlF 32xMry7qVNgt+P0z8VjCVaJaZkTInL8Dq4nCQtBrKIyzSVFMm2Mt0XhNQYeI lhJaF/hmvkbW6wR+1yut8gb+4Gwg7JKzlehxMneBaJU38reGMaMQyvNbeZM2 EYN13MaWPC2+jVtukzymjeHOfDmsHXkt7EbuIOnKun+7dNnJtCnMJSjvJklb YU9OE/bmNuvShP1sZm9OowH7pM6BHFFNHyA8B2Y3KQnKabbAwZxGHlVQdgOC ufmhrAYczm5EMOUwufkI80Oz6lUYQmY+kimzPI5mNZgjjKBtg3CCdXh6PSII 0yISP045mV6HE2m1OJkmMzlOp9aaueBMCoE8tYFhPU4lsSyxBqcTanAmsRqR KXVKpS2W5am8O0qFLb7c2gfQ2Teg3MAPjUJTMkN3/G6tk7bC7/FRXTQAV4ur meuabUWjGnaaTax/frOJwy1MebqXd6NN+S/cwE+aC34NOp1PeH6fWPXtvxB3 YtX1CZN3dfh2ekyNCExa/22SqbkR7dX+1Up0lv/Db/v/0m+rA7M02YxbmPTb vzHBtiMxQIDbJrdTQbdlbgfsszvhQCxwyCEa2eUKMZG7FXBLSJFsYVwWqizh cIqFVmZLPrcVLod1vlbOHKUxt8vrhhPjDpKmCIGzWY3f5btcqJUrei9UxM4y qWGj0g76NkLtLjq5G+vaqXZkCxtVZhwBcNERXvBd4NuloE9BvkFq8Qo4G8sI PaKG9yRtexKEpK6HmMFPK+41m02cJ4MWicl8H6bl9Wim9bxgHlnk1kyB8TY4 pbUqvbjgryhpnchhAuRC4KKsdY3XlK1C38JsTokdJr24UuwmdZioXEdrFXfR UVzyxMidoblO4e6JXWp3wu9anqXazIjZqukE+WqJk3srVVc4VrDY2CTraoRu odnD6z7wlWt8gXGScWK70e+dyQeeaKRNeTwKj6RuZaUvsK4mxCeKGz1St72J 901FwuqJ7SYlu+ckhhcVuuC4plK3Ugp64XVhfR99nEAdMIFXhlPieR4kimns wXvGiyF/HD+z5GsZbojvEgbXpVVRtxPh3JXbyK2QWga5MbxyknajuKo8KZmi AT1vm9w+J/bC1UBKnKC3XE/7uDY+5eqWEtddWFfaZi4cie0ke9gS2W24X+vY FkyJkU+5lfC+ZTSP0DK23WwB0+0K7EVDzzKlsZe0hFNj2Boh34l7dNHPQh4e 41iCb0KnGqORCzeDF2YuL5JA/5yUdixmXIzulxL+f53WrYzvbxQjfD6ot2Z1 KiN8LexU2v07ctjn5cMsAwG/5zvwIN+JR/g+PKTev4cLZaES8e3/B34CHlGu HB4vkrwninvxp2JlxM+8J4v5tvyxSEbEny7pUSMHzxT34PmSXnPNPuCFMpmA 8mJpD/5R2a/ktQpi/vKqq7za71YPKYN/GUWQUMwF3peZ/DWC9mI0YKdm9X9c P6Dkk4ZBfEL8F140mQrIDIDGIRV+IQsQftYoZP4Jq0j1z9QEf/k/BZ/Wq7QK pTm1PIE0WyeEzhjR9hNB0ho1IoGPqvvwbmUX3mUv4/X0ZlJ4BXs5o/g4cRRh Ldfwz8IWfFfejcD6EZxp0Yj8XNO48kC2m3kruf2/KrrxdmkL3ihqxuv8pX05 ux4riK2Ha0exu5z7I5a+lFSGZ+PK8CR7SI+ebcBfzvfjpUtDalr18rPEnpNj +PWWIdivJPJ9N6TWCr99I3D3vj78/kQrHoltxKN8JJ7MbcMybjv3vVFc/z3w B97eh7KacV9kB/zfFSvyAdwTW4V7EytwL3tid/JH+e60ZtzN79k96W3K4cKd fETuuTSIe4ni4pTt39EgHovT5XLceLkKi2Nq4L7yKqa8PADHd5ow/1yNcrQk 80GX8FFdkNiEmZFtRIhOWJEHRF847wof06RmzIlrxExu/0xGJ74j/vwnehyR zTy/pBaFhTOIKDJ9N+BiKbGyFjOjGzArugV+YfXw3FYLx88rYfu2hudT/1oP q2crYPN0HNw/SYXfvjyZOYnLrYNI7xnGpupeRLSO4L74OuXVarZMDRYH2mQX /0OlmPKHRFy3NALmSw/A5r5gOC8/B5c3jsPxcB5mtl2D95UezBJPZ5F1mJfT rKb6BkRVEoETYfnIaTh+GIOFV6qxrHcIT7D7cVN1J/y+ioL7R9FwfvMC3D+N g9ePqfBalQ7/wEKlPvbdkQW3r7ldeTbmpBIpN++By+tr4fotO+4H2VE/l4Vb Yipx48kSIl0BfCKTEHChELOJnT6niX4ns+H6URPsVhCAPs6F84v8uXyzQOFg QFQ25nVnwjM7FzdE5eOL7h7c2jmKB46NYP5Rbn80E3edacBrRPGXY8bVVO3p 4aSKLdl4kc/Z4nVXYUWE9v56EEQ4hHYN48bThfALzyAmZipM9I7IxkPHr+Km /dcw/VgWHj7fiJevjOPRyFEsTwCCG8bxQ+YI3rrcj0/SR/HG5XE8QwT/PBW4 0D2K2P4xHCTmryoDtpQAh2rFM98IIhqAoGpgTzGwrWgM69PHsZLv2GdJ43hq /xisvyE6b4yAy8pYuK+LVKiq6XaL4BNRpCzHp76Viymv8tl4rR4OKyrh8FYe LASh36qF0wZS1eF0eIdmwvGzBlj/o0fpuxeeGUFA+BDcNvNHY1OnGUnQbQ9/ bo41wfdCDfwu1SvDcfft5XB4LRdWf6uH04qr8A8mjR/p4a55WY/lYpoQ9HGZ v+t7osTMB9NIyj7nq+HDNrwvNWDaBT5ykfW8faTxYP4O7y1UKnNP3gKndYWw +XsxLJ7ogfO2QngRmV0Op8KZuOx8KAM27zXB8AC7fw+OwfaHGvJqAVyPyzTk UrickBnubicq2cf25uPlH8FtNyRiygf1mLJsBLbL2Hf8ywCsP6+A7fYM2O5P hv3uRNjtTYDdvlTYHUiBbVA67A/nwi44D3ahZFKHo8UaFVuQmEsUX4swx1wy 2NUQi2yBaWMRwVkHaZYdKZYYQx4ewdk5VGyxicsGFbWD02GNkp2CC+FIcQop gnNIgSJlCd1C81XcLUTRM0/vcAFPT6Da7TDhm4ws4nooXwsp7sLMBwvgGZQP N7Ky+4FcuJCfjXHhaNcDWXAXdvYKzGMP5UC2KGuIy94UTyKzl2ifvfZlGSQl qhmi87TdmfDZIyn5bwE/4rIMpPnsShcxSEIUCzsz4LcjA/68wtN3ZhokIUbl ktzGd39bipLpW5N5lQL4fzpmbEnGzM2pCNiYjFm8YbM3kqA3JWMeSXreukQV zpWQImQ9a3UCZv0cj5k/xWHGj3GMJ2DumiQs3pCEW3em4f6gHPyZD8TfIsvw ZkyV8iT/NTH0B9Erl3Uput4sK55tUmuCbSjXZlGL5zPzCXNtBcxrSjuVvrpT 9NAy6VIKRBct+GzUSStc1ojbIAUG3b57DZFXMFrKKapMZnzrm6xl8VohYm7H Xp4G3G1KtKIWYWkD/7VbYH2+aMbX5bWqle435Ml0RPlvjo15rEfUZchWNue2 GLAlR4oFn7eQf7fxZ3Z7brNBImIezvpMYkeOKJjlP/PItTtzGkWYx//m2J0t aw7sJYfuyWrEnuwGmcrH/9bYRzjeTzDem1mP/eTefRlauJ/hgcwGA4Iy+O9g prhIPJjegEOsJxLM8pBMaYcxtn2YbBycVoOQdHGHEMr/5ghNq8dR8jJFzMhT JS88tRbHUmpEmBeRVMVzi0iqwfHkWpwgOx9PqDZHRFwlP1cnEqqJ0bU4T4wW a/DkgmbkVGhLqde1X0VL7zB6BKFJwWJcraZDa8uom1n8D5Nwc904e1KeDtGj ejg+yXTb/n+0sNSEuU4m1fYvtMD/15v4JIDFuNnEFv9rurZxVvR/cbXZLx3C uf2PA7OclGecb61B9RTNOToPwDhZe/JKcJb/pXEfU1soyDby9f/Sbd+k4/YU hduC1jbZHZhKkVDSQtnmAtzyqWVa9N2C5fZ53VaKtZ0UnUuWRuZSheQjPJ3X pVhb2FptlqdtKlw7VWdvh/wecyngPqbmacDvlCez9cRy3UI1Jc0oRbioqoXG nTXgV1vrRUYyF617Qecv6FvqylFo1N6l11FkX9ita+v1+jqlz9Pa1Sgf9oXa mUhakT1D2yKtbadCjfaF+p1L+lT7prTY4ZNenDNJRiQcx/R2WbNMeRpX88Hj NGQW/HYkWZHdNA2szmvGOhoXats4K1WxUouT4nnTpWDC+Fo4XQBQyqZqtu3x E5PRNcbv/G+Gn6xhN2Z7KILuVFQnm7kKMSs1u8bxJg26Lm6JrZoC3zBJ3S6V BMVNjSp1e4LyNZfUqeNyu1KrdxrzElR7kpeoVOQJ2rGwGUnJAUiBvaqoEF+3 FlAHq49JqINO0C9inH4CGjzHsAFeXxmJ0MnYKHoFltnAjXzLqqqOq864Ukfy te3EPsg1TmvMQm1rq2+hMbdzTOsvtOn6Hox5wvbqKPRDU+XOqk6rOgqZfOOi b+8Uo3G7i2J7PikGyZJejA7zUkHCqdHyy2EbLcO79tEaoguqE/DNBe15WxTV s8jiSqsKhewto1sMejHRX2UruUzYj26XqubawMCUWN5eixi5E3YxnbCJ7VRj BQYYmOeg2rLhIdnKxmzI6kobrI2jBjKCECe2/k2YEj8xmmAt15AJXj4ZipAh ChmasI/75aiU2C148476Mu6XILv054NjjwDe7ZmUObz7c3j35/FRnM+4TBVY mCrWBV1YnNqlBh2WpHRhaaq84ozx06vc+LGeDETcwHpLk9uxKLkFS0h5sijx gqg6uK4shf8PA7jlRAe+zAB21Q5hSWwtFsZUY3FsHe5LbcWHJQM4WD9mEEQ0 m6tU3btrxvEOv3F3JLZi/sUKtUrSndHV2F01Cnak8a/EIfzpQgfejB7GBzFj eP8yAZrw/HTwOJ7YCyzbBNy1ZhRzvx+A3TcVmPXjCG77mb8hwU2Ez2Llg8n/ Yg1ms9c+O74ec+NbsPDrMSz4CJizqw+zxcfT0VbM/Hgc/t8OYcaFcgPJssJs NmaRkWfFNGIur6SIDMvM51W7+cwAlgWN4R9krH/FjeBmaf58qTIynRtJXnmH HfVXBuD2SZVa1XnulSrlY0kWXRKWXpSk2XS4fdcFi1f4QX6/H7OP804ktCqe fjitDd/kjiGIzBbZNoqHo+t5GkUG2YlZlXLgLCg9l9lziejzYpqI1HUqPSeK OB5aA6sXcmDz10i4/icG9i9Hwuapo7jthyxEE59PESEP1w3gtZwG5T1KHE/P ulCinEUHHCuG3cvxMMzbiSk3r4HHj5fhvS0Jnh9egP+uHCxI74LniiTY/fUE HF4/xy4w+/Xfx8Ljs8vw/CkZfnuLlYZ6yl1hsH/lBOxfDITtvxl+mwzXb4h4 u7IRQFaYtiYR0766BM+PLyDgRCZmpRRgxokU+IZHwePAaeLzJba/Dy6fhrCT ngf7D4oxO5h9zr4xPJXRiNmXi+G8KQsOb8fB6cOz8NiToTSfTu9Vwer5ckz9 1wUifS+8vm3E9LOZWNKdDK+sDMw/k4PI9mGsIpre3jOEey8Bsw6UEYXFOjsL fz3fT8SF8prmczQD9p+k46GDwK1bR2D2fBMWbu/C1x1jiOgcw93ni5Xa0+dI uqrrczQbT4T346YDo7jhZCleTOjBWyna2urf50Fprb8uuIp/pNXh2fhGPHqw D29fGMKanHG8fWYYz0QM4JHLo3DcMoRnTo3giyLgscv1eCCqDF/kt+GDtBF8 xTZkiOlI/agyHNmYyW7JT4Ddx/mw+s8VOK6+AC8ei2h8RfPrIZplcqnzTwVw +FcB7F+rxJSX6onQ1XDbUkiAyoL//hLMPVYBp5VtsHmRv5ufdcNzZy+89w0Q oflx2cuX+2gFvE5UwPVMuXK67nm2Em4X6uHOx93m0zw4vFoM2xe74LaGPBx2 FW7HyICC5iE5cDicQcDMJlgWw56c63SyBHYny+EYUQXHE9VwiCiBa0QtZp8e g+chsvWhbDgQBm1CcmG9vBBTn2uAxdstZN1U2O5OhsOeFFh9VAGzB9htWzYK y48rYXcoB/Yh+bAPLYENgXUq92UTVqRg1kHMo48XY0bkFaX1t91RhCkftsD8 sauwfHQYhsd6Yfl+Pmx3xrPtJDjsSoTDvjQ478uAU1AWnHg8TsG5PBcxgSbR 8mOqGDe0GA7cn4i9Cot4DIUq7hTCPGFixcJFUibdtOBC/nA4HyIXH8pTTCy8 7Hi4AC6HCw0SMfNmNF8VOwXnq8vgeqiQXMxNyL9GPhYOdiIDO1MkLmysuJls 7LovGy5kYI/9OSrueiBHxV3Ivx77s+B2IEt+kPdnsjPqtod19mTCTcrIwu58 jbyZdt+druLyWnntZt4uhjvTVVzKPEiozDPAZyf/TduRzh7UNMnbkYpp21Ph s00kDdO2psJ3C2VrCnxIyL6bkw0SEddEzGJShIfjtzGJedMJv9PXJyJgXaJM wV4jeTPXEJTXJoowb+aqeLNpmL0qAXNWJxGe4+H/fQymfx8Hv29i4PfVFcz4 Lg5zfkrAkrUJuHW7BtKPHS3E82dK8caVanyU3ICvcprxs1hZV3Rha2U/tlFk vS9Z92tTWZ/yO7ZOnINvKBGD7lLRW4mOWdTSMvVZn/6sQqOh91qlzmYtC6Vs ttIYWEfkNSR3CdcVtltKRAzEmVzN7DVKOUw0Jp3ntUtMuHcduVdAWReDLDPP XoxiZ34KZJH5dTktwtGib88Ru8X12RpDryPWrs9pMkjCHJsUG28mF28iH2/K EnrenE2Q3pLVJP8aBLIJvtsIyBJuFfhlgjvbltGAHVlNSnaSfXdk1MlM7cx6 dkB2knt3EU5F9nKzPRl12J1eawr3pteTqRuwN7WOB7gvXbY8wO/efnIwRWZq p9aRspNrZcUzku4hwvGhpGocTlahzMlOruFGIYmVOJpUhSOJMhEjLLGG/+Jl dCw8rhLHYqsQFsMwuhJh/JE9elmLC0KfY4NRpHxZaSyd+Fxa36nwua1/GH0T /scNk9TKRtizmJRnnNzs/D/wU1GzolRFrbdoyUkQPZlfJ6P5hAczjTyNamLj guST2fn/BzY/ru9ocnMUy/9hgK58rmma78n+1lTtMf18dIP4if38f2CxK2wz O2FNpp2a1QXrLPZ6mZ6a063yVDqr3YTLop12VvXaTShNcDaitGjmCLpWioUl X+moyc6ynb2C25wug0JtFwW+Gn6TdHN1jtZ12rY57Xo5O/i57apMQq29dpPe m/maltxKVRGIVdryPE1VTc42KPS2VLUV407sUVAir8NsoaquGbn3KpG9yt5V Mzqaq6PLV3PRYVPQaZqDruao55n4WpXb6dwu2nS7Qo3XHXUGF54WrnYu6lWa bxfd2N1Z35dcXQfhaHbaRZ0tfrudxLZc1K6iLrVXKC2gJspJd4XVrYorRNtt hDnRgEsoU5SdFG46i4KWhG0+SekqwO2oaEP+W07O01pIbDMzWbKL3lzjTzMN qC01fTphRxzAKYmXPQkf22rz0TULd0108/bJoT5v3bQPcSanzkJBs+TZTrA9 25P9Gflet6rX9Nvx7TpUyzZT1JiAciUfr+8rQYN5UVtrfD3FCN1amzpX6/YC uhLa3ASuGpjKfxd15V0JgUZ0lrSzjs4aQrdo6uLYiTIFx3JtJxBb42MrUzWN nzWmVsXM0KzYzTXe1vhZOyiDbCIu83TEN6G+DuBu6j4Y8Z2fi4k9qApa9hTt WKLbJ84zzjQcYKbtw/YX7auBmrj2XzYX3WbcVr9G1qZy03nHtCvze5c4GTzo 0M7LXV1GYzUHXjanmFbT5TWdjsJ/PT+u3fTwG/PldI3DA2IVoA0dzFaQbcs2 VX40276iDSXI4UpaDkeGFyR/Kus5Xm5RabtYbbhBxqok7hrboYYZ5LbKy+ZO bvOQY+B27lH18LhUD+fPizDzx0EEHO1W6wavYn9/XUW/0lv5X1FTMNkJim3k l3dmQjOeye7FmsphRDRpmuqzsi5Wwzi+K+nDY4nNeJ+fg2NNY2ql8dcvAM+G A0+GAA/vJjhvG8PtYuC9BriBAH3Dnqu4/kQfZu7nB/grYfkh3Lp2DEtD2tQy w/MulmBeVCUWkGIXEl+EYBfv78PiFYTtb8a1tYLPkGA/HsOMb4ex4Hw5FhBd ZBtZ7WdhXAPptwWL+BlakNKmtheSfuDguCLpd2NHcb04QjpfhjkXyzEzoh52 r4+SpHvhuapWOT2afblaw1xS8ny+cQv5ps1Nacd8ca2wo0NN0LZ+5So81nYo 2l4a1aCcUst6Ycebh7H0Ats+U4xZZ4sxJ7JUGWnPvVSl8FmcJ88R4r9Uqa0Z FVkBx3/nwva5GLh+Fq3WV5p+iP3uz2OxMaUZFzrArhzwfGApbt+QCo/VKfAL zlSOqv0P58HmwdMwm7sFUxatxKyIXDUYEbAvHYvZyby1e0gd86zLFZgemguP dy+pZaA9vo6D499Pw/GZYNg/sAkuf9oI9w+C2bdOgvvHp2F72/dwenM3PIlW fmerEHAuHdNPJWF2dAb8o1KIztGY+uIeWD/yEyw/2QWHtafg9K+zsPv1Tni/ F8tzrcDv40fwQvA4Pk0Zwa9kimtitVJnWjzWhevujILDa+FwWREJm1fTYXik A1YvZsL80Vb47xzBDZUNxLkCTA/OQ1DeMDZnjuOu4+O4vaUD96cBS9c2wO9o FiUHS8KL8e7ZUbwVM4KZO4tg/lwG7t86jDt+Zm/kiWbMP1SBr1tGcJzXcdnF AniEihVxKmaG5+C3Z0vx2uUxvJd8DesqBaGhlpK7P3AEDwcO48WzwFNRvXgi tgIby69iRcI1HGq6iqfjquC6jui1agQ++8dg9n43lp+5hg/z+BztrsBiIrF7 aA5+d6ILi4KBe87149ZzRXiN3dJPsnvwxzN9eGIX4PJKJ6Z8HAnn4HQNY4Oz YR+cAVuGDruyYfdeESzfyobZy2WY+nE9Zgc144nUa/hL8jjmbABsXubP7wf8 NdnWTd5qhP2uEkw5mKVhKu/3FOKxzfFyDYMZWh+vwdTj1bA+VAq7t7OJ4TV8 9vvIYH08hnK1neUB4m9gBqYGZZiZ3UY6zoZtCIn+aDHsZEqxhMfKYHNUU9V6 RLTAK3wEnoEl8DiaB0fu3nplDqxfKofhj/1w3JYE+50JsP6yENc9yC7f/aOw eK8GTnvTYROYCTvipC1R1PZwLqYSRe1CC9X+HI8ST48Uwo1M5XeKKHjoDOw2 pMPp5/Nw/i4MFnfkw+z6clI7EXZtMqk6UWmonfalwH5vGhz3Z8DhgDoNOJLN nA6S2rkvoWxBX9FcCxETe+VH4HChqFKIwfYUqct8g0RInM5BzArM05oJzNHi JGAtP4fxbAkNEuFvhJNSGmtQ7LyPN4Khw75MOOsA7ES4FUh23pelQpUW4JX6 Umd3poJl512E411M7xQ7a7ddafwp99yRxvJ0DY53ZMCN8OuxnXHCsPu2FFPo Ser13kIhIHsx7kEo9ticpKU3pxr4j4Q8bVMyO2feG5PgtSERnptYztBrfYIK p61LUDM+fEi4fiRjv9XxmL4qkRIvg70/x5rNwIyfNbVywA+xmPl9rIrPJCkH fHsF07++jGnfRMHzqyh4f3MFPt/FqPKFaxJxC4/pAV62Px8pwEvnyvFObLVa yPzHghZFupvKehQlb6vsxY6KbrU69pbyTs0Xd1mXeOZWTsA2KK/ZG0u6LGU6 swAtSVgmNuuTmw26RbZJj6ymNa8TBbPgsZWqv9aoRVam3IqiLTVts0CzpfCy ImujrM4TVcOaHNIt4ZgtZYtHLuFkxlS4higrnGxMS7hW42XBZZnplS2EvIE0 vDGzUfGyjsqbMxvlXz2TGeofk1szasXnOFlXWFlkCxl3G2V7eq2B/+rJjTvS 6tUCIAqZ02qxM7UGu1PrVXwPq+4iqO5JqcVuku8uEvA+xvcyvo/5e5OZThKV 8f5kUSMzjr2JVdifUMVUIJnYFgeZDkqoxCHKwfgKHIqrQCjhOJS3LiSmCqHR pOeYahyNrpDJ2FfKzZwQcoXl/O0RCbtSgeMxFcp0OypDJky3ILO8BUV1Xajr GFDALCbbo2Mm8PxRQ06NB0fHTQt5aXRoPkk/DPE8xtifJqPphG8yg8nnmGld bs0XuIXJFnsCOG/ROdNeMaRwo/CkXVbHL9Sw9pmTVLJZnUYraJ46c3RqZDnv m2wtrRi3kJpTpQ4r8kykWBqxU3gnoOmgqlvndJiA1T67XSGeEyFXdqYUurop tmCgNMm02q2ZneJXYxUpUrre7Alu1fTCuq5XrLZlUrSjclyminVoVAhrbErX MEuZzLS219XGUp9HJSpbQqutVmeSotVJVzsrBS05V6mfCzQNtnH2tFGfrEFp jwonO00Tw2tNCewCu+Ie3bR7QsksdV0zu9SVkdvkmK45BRN7avE3pjhJhxU3 pbhrUTo7UWXHav6wRJwEPoQ0rZWuS3Fo3ITa11FXuzI0SKGZh0mR6UyRFkQ9 JkbaDontpk2M2mR9U1VuDJ30GdiagXerVkcmLat9EAH1mOCwtekAlG7aiJXJ ptbMZVcGBcDO2rzuZK2usulO1FSxxr266NvpCAx7wUlpL6lL2TUzLm7iFTJL vthNy/6kPQ3VBJ7sNMSK0dhHOMeoY3XW85xjJtjETRS9BBYBQuKJhkGSItiI EX7sBC6ppiarZzWi02nN3NSss6JcZwWMchjG+hRFnXyVXH7ZhAkcjUetrL2j TRRrpDiD2p+16SiMnOmsn6jOxTr0qphsYK61q1U0M0KrPEpGoFTDHjopyjOo Hf5UE6i66LA6+XQmXWHj2U5mZ5UtVuYeag9ycbULrOGrk66vdp6MtTFanoS8 L6qeq9KTd6i4sVzDbZ2+wQvVDEfiotPlOrheqsPUz4vZEejHzEN9zK/HDVGd WJcHrCzrh8O5SthH1sHhfAMcL9bB/nyN2taV7GNPvro+vhVv5vXgQN0YIpvH ca4NONMxTt4Zx54y4AUy5D3b2O9nP1cUrTetHsGCzQOYQ26cHtYK7ysa1nqx Hfcgtv9lCWZ/O6qWmJ53oBU+Z4rILsXK0493VJ3y3TsroQ3+l9gn/xJY+OEY Zh/pwYzIBsz5YhQzVl6D/2kxt9Q0rAGXaoWAlb9f0WfP4isyg9vffPIqHjwE vHYeagGr+bKW7vliTD9XAu9dLez4AlNf64AXOUCtmUvGE+YTVepssuucuGbM SWjB7HgtDAhrgf2/hX+ukvkaMW17B34mR5zu4nVpG8fsM/kIOE2uO1uo2E5b Z7iabdYpThXLYuHY6eQ69+8LMfWZeDi9FoWAiBK1jd/ZAtx0phyl4+MoHAVW ZfXD55tUWD8cAus/R8LxrcvksDiY33UCZrO2wvb+LfAXC9/TRbilogsPDI3i V239mEHGFY6VCaO+x0qwoHAIi4oa4BPELunnx+D60io4v7YK07ZeUD6ep5+q gM+JfHiTSf1C05W5q7Ckb0w+fM7nK1/VXuFZcP3yABze34d5qyPxKPf50JE0 OL28A26fRcDp6xj4sYv5VFQx/niAnP/vIvzup3xM35XG7aPh8H05zP5VCrct RWTSZLjuTFHX0Pmnaj4jpZifW8W6XbB8txZe71Vj8U8t8Pyaz8s3vLcJjXis Bbhr96jyPOV1qVhNHH407ireSZWJ6r2Y92MPnj8G/Dl0HDevIz8Gd+Pj8lEc 6wa+ZTf0Rf7KrMjrxfflg9jSMIodTWPYUDmqFsx6+tQ47tg/jl8d6sKyU934 JnscmyvGsbNiBH87cRVLV/HN5bUTdaPb/jJcf3ocbmuuwuafg/iYz9WbZFLn Pc0wrCbI7M/D9JAS/O4434OIUWXeO+NwDu4Or8HCsEw8eqEGb4WNwnV5Hqbu iFOmuVaBacpM13pPMuw+Lobtm4VwXVMI/421cF3RiqUHeHxsz+frIVi+yl/z d4fhuXYArntrYE0GtNufCZv9aQSoLNETmpndq7hsqnIhVawsfK2PVcAhghJe CevV+Zj6ahGmPNcMl896ibEVxMksnp52inYH0mC9Pws2BzXOsw7OUazncoSH zHbFulc0sf7h/cTzfkwLzoXTthzY7k2BxUuFsHyqGVYriMHfZ8Lw0DCuWzYO y9drNS3qngRM3Z0G+/1paj92QZmKQ+2CRMObS8bkcR8SyYMruc//TDZ8w4/B 5+h6eGzawbZiYTaPPPk74vGLJLYvyKU7Y2G3g+y6m2y5OwW2oqXdy/b2E/Ts 9opVr80+YmtgltKOEvjMBQzlh4j0yFoKESnmkhDLIKKg0/5cFbrszeG9FUti Ah9/ZQQBHYl7IoKCLjsJusQ7h50iaeaSITOMSH9OJDzXHay2PQ2uW1MVATKU 35FtqTJji3leW9LgvjkFriRAl83JfD3SDfDckizDqpsSWZTEkNkbkgzw2Jgs w5/r4xlLhNvGBHiS/9w3JJhY0HNdvDk81sbxHDxWxcCT76P3z/GY9lMMJZo7 nvZDrFkAfH+Kh9/30Zj+nSaiMJ3BMODbaBX6EwHFFMN7ZRS8vrgMz5UilzDt y8uY+W0MlqxOxG+3pOJBYvHTYQV4nd/g9+Nr8WVaM37MbcOG0g7iYDd2VnVh V1UvdlX28F3q1pZiKus2qPWZpihC3FLSjs3FbeTCNpXWaVGAq7hd/Td6vpKe zPqiDj1Pm7MrM34ZM9cQkDELEwwaFPuZa3rRvFYJxeQ5V0zDyIMqX4Ua9/F6 CxuSMrOYl9mkQsWFWtxcImKczGxBwfWZDViXUc+DyWhgi5sIesRBrCf4MUfS Arvp9SxKE6vgTUS7zalKxNmI+i9UuJV5W5NlPcgaA7alVLOtHSnV2J5cpWRn ci12KNrbmVjFmy9EuIdEuJt1diZVYjdJb1c80wk1QoIG7EmoNGBvXCXBMFZQ cH9sJQJjKNHlCCTWBUUTCRkeYniYoWDf4ahyHLokswwCL5YSLgL5Exl0oQQh UaUKBWU27/mMZuU3K6OiHaXNfWjoHkDH1SEMjIyZMJC/WmZbdNWjrE+sodr4 uMK9J6VA0Z6jbg5sAj+jJnGC64wuo+YovaFlZjusCAsSF/2h6BQlLuGUzP+H rfMAr+K49vj1Vbm9SKKJYnCNW5zYSVxenDjNTnOc2LETJ3FiJ7GxcQEb0w3Y 9F5UQUiiid4kQAUEqKNeECDUhSQQqgghOir/d86Z3Sv5Pev75s7s7OzMbLl3 56f/mTPtCslKBhiPcYzTrHbpecKEGtlx2lbc4UE3ros1SY55H3OYzmV8vLAZ 2+NSewyCGjLSoYbh/68wx/6nuiT2HTzllrhQqO2MKsOdU0Kmgj+uQ7ch5sYU oBLyeUnSoXBP7VD2uKUDsOlf2qnpjJrKqayJDWo2r9mjSwqEamejIyF1wihO sL2lOq7CqojOyMimZExFnKKCUvUiPZapCbhuTbLU3W5JXDYga7IdMv3gneY5 /czE7mJquojKs0mvZs7LypygTvaASqQZarZx09ro160pM4PFMbc2RtfH5Mx2 PCpmr8kOEf+Y/7xg1ybqahiSxRijzRSVfJl8K2wokqae7xEvOU+sTTWqc4sa REcZvDws6RK3VJRSDQyTSgcgUmPUXNWgK6dduXnOblPnfnIQ8nFnT6p8KZ+j cE67TkblAyxAPGWxcinLZGmB4ZShVqmljKOBA2bQHubqUJNPNcRwZ34TtnTJ S8cKziMSV7JUhmammzaguvlleKyD3eIZizll6IB0N0BGStIzyhEOnQsHme92 fGPbY8o9cINFOewgbJY+Z1z+Bix6CFB7WPgcdD7VnyuWAl0iw7Vp0PfoN4yZ WcIbkP40RM4aeOAc2n8m9P4xLjMocptct47SQp6DTt0vQ8O3dI9S6ZEARS7M UJo7l5HzSlcSonacQV2zH3rOTTdr1mM+3ibt03060aKYb8Fp3LuQ14G5AVdy E/zTmvA8cV/YWWDKuWtwJtfDL+k88d55YT7n0YsISL4I57EmuJMuwu9oPfyP 1MMV34AXTjZjD2szjX1YXgga/9/Cz9bR2HsF8GD4FYyOacLwPXVwH6RBZnyV 1MUs6ZdCY/zjzXBvaoDt61qMW9SDZ1b24YEouk6x5+j7eajCQM0RmrkJW9zU dX96zMYF38ATM/tw/4rbcFM37v/6LsbM6hGrQwehClsMuhJojMndT6axZUoz NdUidTy1n7BvB0Te/Cith9DmHNyx5+DcfxauxZ3w/W8vTBOoe9srEHCwAv7x 1VKXO7FOTtf/6AW5DG7CZH/CN27ffYi6P5eG+G9fwsOEoItKehHbTBjcAYzd VAzHbhomHiiH62A51Uenn8SXtpbqo0uSWIMA6q9fRBl8/1oI27vH4BdKw8a4 s/A/QONqOm7L+U5UXAcaenrxHJV376Hxa1Q+3EEFsuSO9aX9MHw/FMYH5sM+ cT/848rxK0K9JwhhRu6qgt/uKhmaWj9aS+e3GUOjS3Bf3gXaR+i1YBv8pkfT LUinW9IA9zG6JYQhfJ52uu3W5AvSX3diPewJdXQOFfCLo3NYFIPn52/HR4cK sKCsDSHVbZhD44KXFh+H4T9JuOfTHAROy8TDM+j83zsM298iYH7vIKyfxeGB 1cfx0Je5eObLPDy6oBK2iZfomrfAMrERvu8R1qwg5M1NF3871vnXcH/0XTyw r5v62IShEVUIXN8k6948f70VP790Bz+4dBdP3ujGY7c78IOrV/HL1hv4Rd0t /PLSDfzs0nX86uJdvNx5Bz+5eB0vN9/B1639WF0EzC8AltUC8xqBr2t78VUl 4Rrl/S29H2/n3sE/y6/g7XOdmEXHb28CiLbx5AYafHzQDO9ZxD6bc2BaVYgf 7u/HU/G98F5QD9s0ug6nevHOwR7Y1tcTULSKpjZq+zn8T+x1vJTUT+hQg9Fb KvHifvoaE+5aNmZjAr3uXt3QC9vk/bAS6lk35cAWnQXnXOKxj89i3IpWvJh8 DW9k0DMVdJXu5QVZYsjrP90wT27BcPouBAYBAUEtsEcXUsiDiXltUwF8txQR r52ChXjNsacc5gMVxHxVsB2oVC6Fidl47Wfbf+tg/eAaHMsvwrqlUFjJGkl1 bOS+ZEtd1i10P7exSagzptjwFMzEZazHcRt+W8pw34E+jNjWKD6sreHU9tx8 mP9Zh3v+cBuG390R3dD4z1ZYQ1JhWa/YzEbBQu0I+0UWwBVN8UZqm5/ZaKUD 8vNuizyFEfQ886I/gduOwr3yAAyvZOGeRyvg83IdfMcXwfznM7BNKoI9PAuu iFypn4/1i8xT6Q1cPzEgtWGhYItmz8HUmsEJe1QxIyEc0azmlUg57ocjUiEc x67IYvhtKJZtVvaI6LwZ6NhehWiP0Y4AToJrHWEbIZyL0M4dngdneC59tXMp L48HBqG51KRfSA7cBGx6CAjJwlBiO+Y7nsjrv+YkAoJz4McwtzoTw9bQ/tUn CQBXZRm+iyErMjF0JTEfwRyHESuy4L88FUOWpAjkjViSihEEcKMWZWIkAdzI hUrLC5x/HKPmn8C9FMYtSMFoyruXoG7svBQP2AV+eRxDZxyD/0z6RZqWjGEz j2PcV6l4ckUuXqA7+3t6Ov4RexYfHqvGzOxGzCO0WXWuVSxjI+u7EHW+C9EE epvPXyXI60RkTSc2VPPAI4KX9F1XxbPewgnxeOFdjsPYGDZU1vNh0uO1erWt cmK34HNs0fotXpfYorVMLFrPtnssXsVAVixhJRV0hsd5PI1Uk/FYSyxt9ZGk j24bq3YqpqNchjoHgRwDXbMEPU1wh9WFF4To1hQMxEEUiOu4RwUXTAhmm9WQ vAvsEopYLSz3ggp5xGKhufVeCMupN1gRllWHdSeJ6bLrJTDX8fa6rAasy6xH RGYNNmTVGrE+q5aqijhZx5uIol3RGeeNiMykfRsyauhxikqvQWRKDaKI2jal 1GJzShW2nqhGzPFqbKO8HSdqJd5G9ywmmfYlE/kdrTZic1I5jcG3HKnAjmNV 2Jt2HnEnL4qP5HTi4MJqegFd7BZ9r+P6LdzouYNe9AmT7dcNVQfZef7dA3p+ zG7enp1Paez2uIe5mLU4bS9SaRZ/XEU0Ri9oV5pXkcZlRR0eNuNtndH0OnRt z1HSTnG7R6XTudCsleO6mXJ0TVCvj7cZQRi9uF32jKSpfCzunbosCKTlFbPn JCIj3jnEo1fpqMjVe+TEYg0xqfuiwZUMIjmqTpRAjfKEEks7BezEyZKmqQnM nekS8tLoT2ltpTL1UwO5UR46VFSpbFF1CLSdUYal2qJGAoJ6vQyOHAecUuDH 2p2uE3Ibqs4O0ee4TgJKpgeiwuHK1lXTGYXqNPfMOvHxMUM0otVVT74mrvx2 WfSHY0duqweTdITyTMgzDKWRcKuMmhm/XJoBnIyaszoGRtHafER9cRweicvo XqHeN0b6fp667Z5juA1P+cw2D5DYNS/KGtZ5C7wpJYhBipvV03KYIj+PHyFd 49NMWgXoCN64TFabRp7amj4G3TxWVxrdYgLLnxbPuj9sBqsTKdfn1lxE+Z8c bGhL7yKXZh/LI36/TGXgqNMNE42bic2jvAXIvEahulQPNSh7RqcHYgSYNJgQ OExr1yCtwwMbYpIpborbFaCbPZKiO71tED+2CjO609sUupg9tXl0NR1FVa1C kAZfD+br00UDVMNKkByiQes3bTT9NTtNvQWZ75muwNaTJ6B42TPtU2w12aUU PyU+HsbVrWjV0ym952vkq5+zp6B2grrOKf+zkGy+6drFaTe8pR2j+iaSdmqL FOR4yLFm2L46R+/rLjy14yb8jzXCceKiUMzPU7sRXg58WNYtBOFMahRKch6p EVhzH20UQHMn04idRu6c/9OcZhE4wsv6MSML+HtcH54/cB2/29qLX2zokTlV /jK6r4CLRviOeEUnXI/rBO07RtC3tQH2BecxZtFtD6jZaAzgIIKyH6qA43A1 UcMFoi4qe5xGpXEdeJzI7NFZfUQyzbh/8W2Mm9GHgJjzsB8ogyOuUo5zxlM7 SQ1EHkQbRGwMnU/tvY7f7uzHhBN9GJ/Wi+HUhnv/ObEoc069QaRwG7bPiO72 Er0R8XC/7bHU90PVcCYQ+SXSu5FO3tAj8OI+XAf7YSV0eP2nHq9sv4PPMu9g RfFtBJdep8FjPrwm0MBzajHMs07DtqQUzrAy2LZXi3tRrt66rxo+40th+mcG XAvzpGnrvtPwpzBm3zmcvtuLgm5geXkrbLsL4dpNg+pdNCDdUwrrm4fg9XwI LIuOwvzuZlhfXYfHsy5gbGQSzP9aA/PXh2CZEAXT34Lg+CoBw6OrxKEog6D7 gJr65UzgS9QEK/GzhS4xc7v7SJOwuuMQQeWhGrmkVgJK6+Jd+PHsDYgprcfG ik4sz6rAJ1vS8eO5ezF08l54fZwG43+yMSzyLILpsZh87iYNfgkUtlK/Nxdi 5N40PLQzB0+EnMN/97dhRfkd/GxlB8a93YDvjL8Gw4+vYNi0QviuyIbln1cx +h/9GPcR8f4M4KE5wH0z1brGD+yow/2FhXjqMPD7QyAAuolfJt7Cz0/04Lv7 rmHUpm6Mi23HQ1mNeDKpE48mdOFH9FX8YeUV/LTyFt4/CnxW0ocPT9/B20f7 8daefry2G/jVLuBFir9/6CIcOwgMDpRics11RF3sw+u7+uD9xU1YPrsE93oC lIh8DCW4f/YwAf92eolvyseQ4BosOwf8gR5/rwl34FpDZSOa4be5Cg/uasXL R4BHD9zBjw424VXqlzkqA0M2ZeONlCb8+WgPRk84A8uqFDGKtK4qheWTsxiz 9BJ+c6wfLx+jYzcBw5d2wTK5Fr4f0EDjExoV7DgD14bzCFwJBK6+Ab/waoKc k/CNPAn7hlwBH4Ystt/03XlGYI2nC5r2KMNNC6Vt687C9AGB0b8vwvs9ekOF lAswcv/MGzIJOjOlTjNBjz06X0EODdVtGykdlSM6Ik+LHLa9AaPj+xAYV40h m+kZ/boElneqYPprJ+75GV2/tzphW5UqoGYNSYdvSBos61JhXpdJ8UmBKWt4 DhzrsqlNOgeKOc3Xw0XXezQ7zKXn15/aC1h/FL5/ScI9j5fA8EIt7MvSYZ9M 8PzaWYLOImnHuTYD/uuyYAlPp/tAoBZG8BtKcLiOrks4150r9TJVcdpGhOUI p+31hSKmafv493VdAf+rlRDFFUZ5YTxh0CWTCJm+3ExcITn8+02fZqEr1yAC Y+pyBtE5UKA0FVuTxYYaBGJ+q7PgtyqT2YvemSsz+d/EK09Klv8K6j2dld/y dAxdloGhS9MRsCQNQ5ae5P9KLs2kAxanGgLoMaRMoq6hRF1iUUnENWKuks9Y RuP0aEqPmZ2CUURiY75Kwb1zTmD0l8cwahaVmXEcAURjrilHeBQxI5ne0COI 1MbNT8UT1PD/BGfhd8TR/6BH5tOkGszMaMQSlqvK27G+9jKi669iU8NVbKm/ amQ0o5fXRgK2aIKz6OouArQrhGcdiKimd9T6yssCa3T664kAdFajYOQNI4tz Bm8Fauc6xN1tKAtu+soz3uIP10v84Qaxyx4xuKRPorLTLYOATM1LpE8vZYm5 9lSrN0OYkRnMKDhmETBbXdLkCZrKJiCmxQxthU0s1BVQmfyLWtyItRQIyYyc 8EVQXqOGZEE5DRTOc0ydzeaPk/Xsxp8Yi7FMC14Iz6qjLoRl1hKR1UkgGEN4 RjUiMgjHMone0mlfWg2dx/pURrENqQrFolOrEXmiEtGEYBsJvaKTK7CJwuZj ldhyvIplNWw+SnlHq7DxSKUR0QnlRmxM4pWYth6tZPGNPf0gibqbcaYZpXVX UNXchUtXbqLz5m3c7O1lm0rNb4/PN/32SLLPICg2eJqiDmo7PJMB31ApSlo5 9X8sM32+HeN8YSnsgImCRQvWAtk2wlrE+GItaodPcZvEQnD5NLYqJCQqbBMM cBbyP6/Nxe1aWVbsmMjcRZf/HxlSmv9TU8z16rTHNEdHewhRiK9IthmL6IhR UsavWJEbC2mi+mnGmoxsrNyJlx1N3RMa5JmGhC2mU4oOGVs8SuGA7aenHxql GpStqEsJf8UdHktTP60d7ofMsysZEAX5XGWbEUsURIIzI2+yASBzJDMcq2+l itl0c1BhRjpQPwGZuqiX0WK3LGDL1qhmD/P5a2W5AwPKIpsrlmruiHRENCiT 0ns9eqLmnIinN+rVI+D0FY+ZqY5/+rY+09JfO38+VyFwelTsuQQCeR0e60lb dqsHWWyZzUrkI7jS/LIQXgmjtHp4TvZx9lBhMB0DObDto450gjvpbYrV6HBm Loc2382lOUThPLs4SWnT/LnyDxLT3Ohvmg1mdXjEJV53VY4/qRjDkenxE+tB UOmXjqkaig5WFj3CVpZn+ptRANGmLsugqjzLvmozEP1kOdi2QUKkVaoV8tVx MWPAi41LLTyjYEqZbzLsMXnwFl3q1FZeAkmbsablK1xLHchzijTmlkmAnCcy lEZRvO2v8rQy9kHU5UG+b1Aj1/0NaiR0o19PASmCIHdmxzd88fhpgKWDklQ/ 0A0jb7DDLY1T9V5xWjsbgyrjqw6lKhgh9eeBng/Frb6qdm5VcZvCRR1rfQbO ZaCYWI3y+27QNTGoaw1VJlMRHmtRQ4jkXGvzMGr2FTwRc0uG8mxm6Z/cDCcN MX+fcgMbqoC3WBZnzSixWqQzvwRFNy4JtaJLPU50tpKG8OvP9WF2jtK1fnHs Ov5yqE/ML/+04w5+HQ2M23uRSIkoinDFtV9hhePgOdF0HAk18E8g4ttMCLGg GmMXXRf57qH19I3ZS+V5TtCBc0KGrqQ6oU0mPf9jl/DIkh48No3qD7uBe1dc x33T++HeSMjEtLavTI5zEHoxUXLf7USrRGf4/q6beIWG8Z+mAO+n9mDoHiK7 PafE44Xl0zvwee8mHDPr4LfnDPVZ9dd64Kz0132wWkiPY6ZOZ9x52A6WE6pV wDe8Bve804R/Hb6J2WU3aPByG5tq7sA+sxDGiTQE/JyGup8S6n2UT0Npij+m IejEQjhZ05l4Cpa/Z8P+r3jY5qVT+0fhPekwTF8cw2SiaLolNKq5heeWnsTQ 92Lh/Y+9cH6UAK+fRcA4+guY/7MRtjVpGLomEU/QgGrUgh0w+D8D35nbMSQi G0N2VNI1v4ihdJ/dhHE2uue2I42wELHb5Bm4CCtdH1sSpROIummf+ch5uTd8 v50Ha2CJLYPvl1H49dwohGRW4oODxXhu3h4MGb8RzmkJMC9Lg/fSPHh9UYYX tp/HV/QS2dF6B98/Qtd/z2m5n879ZYTC1ULOAUTNjyZfwitHLuHRebl4dFU1 Hll8CffPa8eT+4swenUZJu+7iaUp/XjgX4D3690wf9QMn7/RG/VP1zAyqgL3 Z+di+IQePLGwGz9acg0vrwHhYi8enw38z5I+vEjbPw7qx0+XA8/OAp4Pvotn Cq/i2Qt38E7jTTxOQ6JXTrTivcP9eHMb8LuNdNz6Xvw0EvjFjl78JPYGnjhc jxlVfdjedhdPbj0P08Qm+C/qxpiIq3BTX39AOPjQ7h7CmzNiP/j8oQaE1RGO be6E7yR643zaC+d8ehttaMGInRfweOwtBG5rxouxtXgnhX5eCW1+FVeHN481 4OE96Rg9rxJPbWjHA9voOk0hvJ5eg6d29uPJncDI5bdhn0U/DTMuwX/uBdin 1cA9id7oS+g7tqUQ99H5sSY3bE2LwfA6fNcT7UQoQjNHnBRZy7KZHruY07DQ 486mjbad5bDvosd3ZxnMRIq2uaVwflgBn3faYf78IkxEWVYiJPO6dJjCiPRC M2Bdnw0TEZdjQ45QkTkym/IoDmeSypQ4cFcbRsbQJZpdDtt7NTB/WgbTe9Xw eYUGex/R47XmOKxrkmEPSoFpbQoswSlwhabDGpQmbdiCU2EhAjQHc16KPN6W oGNwE7GOJCrldWhddIzfhhS4p2fgnu/S1+zpOvh+nQnTimOwTMmA/c9nYH3z NFFmJhxBRH+r0+Cgthxr0uFanU7ElQr7WoqDM4m8KIRkwR5M57U2C+6gXNqf w1TmxahmZE6jX2id0lgbI0jTYyOzGr1AmdbchGaMZ+6VGXCuyiA8o6opMKa5 Vihcc4vxo9/SNP636WI6hSWpgm7+i1PhtyiF4nT4L0yDcxFv0zd7QRoC5qXw MfOPG8YJtQ2bewxDZh/FsNnHhcbYT9WoWckYTWH4zESMpH28PXLmMQTOSMaI 6VR+ejLc047A/kUi7J8nwDU5AcNmHMUDRHxPUfu/DMvBmzGl+O/BMkxKqcXX +U0ib62raEMkkdzG+i7ENF4zYlsju2/dWn8Fm4nkNtWwTdXG6k56SW2svozI yk5EVV1BZFU7oqp5rBBVzaaRnE+AR9V1UugQzjNy5VRXeHmr5IWLYWV4ebus FUrDrzBeQPRsO9aVdQysbOKFUF7ohBc9Eec0wWJbyduan1Y2jVS8p+bNcay2 vNj9jEyga9FFNgZB+vQRsY1oTouF8dhIs5AprvCikQU3L+Y5qiOvgcqvzbtI ZHdR4jU59Viby6aRlOKmchtUXjbTXfBJzgvKOs8pIT5i1CyeIhdKIBdCQEeB t9KJ/MJYYgvPqKUWwtJrEJpWjfBUQT2En+D1gyJSqmmEHHG8AuuPlWMD4Vxk ciUiOBwpJ9wjvEuuZrRT8bFqRBHWbUqqZNJDdFIFIhMqsCG+jOJziDxchk10 3LYT1dhLvUkquIjMslaUnO/0YN+Vm724c1em2Bk98+ZkNRFfD8UJ53nWIxVq 69OD4GDMIMzTIfA/npT3twOfjxCctaANPgUtsOXRSL2QRzyUY/AXzY7JjgPl w5zXImV9C1slthH5+UqZDkkLMDINFHRK7JR8eqqoAiNMRW2G4eo41u2kbLuH BrktpkU+lk0GdZ2Q6YLTTGac1klTtwF1FtFIn4iUAEijNbciONYNKZ+JjQmV wYoFOwGpU5rOWKryrKcG9EgiIi8BzRHKkLLkm+alUs0gj68MTX4Cfe0ehnPp eadVc4MtP3VGo3p9OIPt0gdNHhRbU852epRFsR0tvTxAiKX6REG9xquDFUg1 19DXU4QP/79+cwxDBPoGW6AKCJ7q9AChZiyqzofiwbqmct1DwFiiLDzdhdRp //xOemLYwFNN71NQ48xq9Whq2njcw2W2dE0byVBSlj6xz4OBXh60Y9XGS/t0 a5g2kEdsldWqcDFrQPXT8VHHQo6VkSjVyhKchng6IurldVVS9UC1Il1Lbxvo AZvZanl6H51ZahKZ1l91CjaNYD1qohTXxU1p6mSHZrLJz69daVTtHt+lQi4Z bR480QlGNDImPB84iD50omPfI34prYoFjQxvPF0wRWGcQ+CIfvvdrGQxNHl5 sJCrUnlmKSeCWqqySNRR0V/F3pyQBjS/qvp+alg7DUak0dyWcpCS1i5p2T8I K5nCAjRo0+tQzlWUAxU+Gf34wSfIMZ+0Xl7rl+r+P5QeqGU7xEqQrs+JFmne 70S7THZz7c9GYHAevrPpBo3E60WIUaP3erGYey3lFqJrevDr7Ga2WRS/hUxa bGFliS1nP/24L6kKc8tvYGNtLxYV9GNSGvCbo9fwQMIluJMa8N1Dl/GPOOVw hWntqe1dmt5VKgRk330afvsqpD5LXC3RT61YktlolMqGnM/SyPqR8HYpb9tV KrH04WClEJIriYiTaGM4jYYfmw489lU/xi2+gbGzeuEXeUEdR3TgZI8NB2go Ssc6iKhYNLMfqsLTO2/iDzTC/uQEvSjSb4m4xbTmjqiFbXwPzP+lX45FPKOI hq5Ml9RP+/5yEaS4D7bD/LZ0HqwyPC06HWuGvBKfaVIdHBMuYkJqL2bSuGJL 43Wc6OjH2N1U9/YS8f7giqLzWUfXYCXVvYDy5p6CfWIe/N6moeQr2+D9WgxM r2+H4aXN8HoxDA/+Mx6xtddx9G4//rqtBj6vU5m/x8B7/H4YA6fD4PdvOCfv kBH/IxlVeOpKHwJTrsM5PQ7O9yPh3ssGr81C5PYkIrTERiE1R2ID7ERJKr/R yDsN2wSEWYIV6VV0xvOwEihb6fZZlh3AQ/9dickHq/Djqdvh+69o+M47DnNo Dsw02udLYFlQjIfmVWDvhbuIpVP/XRq9XHcSpO5QOpB1LxHCnnLlppLqtdHt txAE+4wnMH03G34fV+PpjXV48FgWnt12HnNL7uKTqht4YHEHvP5Oj3OEmqjl E1KKBwqPYmwWAe6iOoz95CZeDL6NxzcTSK29SFB8Ez+I7MZHBHo/XUsAtwJ4 eEcf7k28gTE7buGRKjVP8lfJ9Zie34/f0uPwy+h+/JGA7d6oSjwc2YCfbbiL F8OBFzb348tyIKL9Dh6LaIDhg3o8QkAYuAQYG9yH5w4DtogmWKJPCrW8kUqQ egH43pbz8PqyCn7T6Edw0k2ilttwh7Rj6OYGDFmfhz8eacIbx89jzMZsfJLW gWf3noJrfQbujSzF85t78cDqLlg+K0fg8i6MCO9FwHxeuLQJfjNb4L+8AdZI ejTnVME15RKsk67BvqEGw6NaEbiqFyPW0rtxXSnMYRmiQznWZ4o254jMg2lj Aexbz8K1lUgtpgyWbWeF3jiP/bX4EQRa/lMhLlGt88oULQXTfQ46AW8iGzF4 JIqyElH5EsVxbA+lODhLyMe8KhvOefTsTKLHbkot/FfT1295ESxzi2D4Uw+8 f3ONoPskbF+eoHuXDOsqIqvVx4TazExPa04Q4hzhPCNsK44YhtG35RhsKxPh H5GLcXuqMXxbKRwEZI6lh6iaTBgfyYHhyRrYP86BbWkiXIuSYCVKMf+1CNbX SmCdSs0to/IrCPpWHJdj3UuP0+/1suPsI2A5Za1MJZBiR7IZxHGZsK+is1md 4dl2rMnkNH/xV2XQC99J0OVekSUQxgDmXJ4G19JUgjAqv5SgbHEaAVi6bPst zVDbC1MlZvjitHt+Cv12zzvBr9uvj8NN7EWBeWzOMXodDZ+jWMx/VhICZiZh 2KwjGE6cFTjtKHOZkeArid42gdOTVNY0tTtgaiKcnx+C9fNEmD5NoGcjCbbP EjFs6lHcN+c4nlxwHD+nV8Cftxbh37Fl+IKQbAENzlncYsWM2Wv7hW7saujG 7sZr2E54tu38FcTUdWFrLY14tlRfMVg5iS01nQxoiK4iiqvuoviKbDOuMaoR oBmJ19jeJUojuA0Vl4XWIivaEVFBr+qIct69oZzA7Vy7hPVlbSo+1+7Da0vS 5eFVJkNPt3JgnDnd6isOPn3ZbQmnJOYgDkxONfMUtkvMX03eirF4ApuXMnFU Chpzk8ZdBgEvFtM0QY0gy4uVNPZ+evI8s5YEZixmrbWZdZKWWGgrKLOOtTbi reD0WgkhabVGTjA/plFWag0H3pLPsBQCMAKjMJmQRp+EqslVdM/XETFFaGFD koqZwpi0Io9UEPMmVhr8NNCi3YcrEEFYvT7urAKupGrR4QS42KdJeQtO119G bfNVNHfdwbU7d5QD0H7QyWlM9Y31MYSk+sRfZ6+OWQadxtCn+8ZUzjwNglgb PLClZrh53Hz6fkve//Xa+U17ywD+NP0/Whs5IMkRtdnzFW3pch1v2/JoyJXX ATPRlDP/smxzeU5zvjW/U8qZtPJcjvc7Ci4rgstv5XwjZxK25bMHBJ3uODC9 qTKKCnXSo2O8uKDBJNUp+FNNydyvAkmzExYq45Y8k6Y0mosUzDEAOikwaDI4 cppjhj1TsTLS1AxFfZjWDPcp1alkgN109ZAPY4ZkdU4d3u5RHxncuAneZv5k zJL0qYG5goJaxcru1GPgqRuFMtgVqzylYDJz2j0uYVhhFEA83aEMOhnhNGVS uPeU+EdVh42QKr9pQ6q0QYHBQU3r+3W+9Kfj3OJOtd0z61C5kqFLcKpNiZLi IbVEs3fVi8h6n1fUREO3p36da+08LbJI3TE3BRH0ctUMNhb0GOgcmS0ifLkZ VtwZbFrtSm+WbNb5mO9oCK8M6uiBECDSbOjc4luxRZP7WjWzTT8BN87nmJuw ZzTDRdusHQ6mJh3SBLg080dNUGNt8yT72tAhjstYT7aoejPb9S57NL7B0Obi CXnavgFoHBDqxJEIc5+fRwbkIBMN9WKaeaKer5srDjIl9fhWMQ74BjEP2Bim tnp0Lk47U3l2VKuiOLNk2VPVhCnGGUYbTZxjSvIShLN7gEhAKnXAGyVv8+F8 mENrjarRIdJPYy1hv1RxeMnv+BMtuimnxo86R3J5rSdeGmZyzdyaU/GWl4Co RfWRa09p8eCYn1aMY/sxXq+Jcg0hhGbNvC1BT3PsZtNJwjants1zzFzJhFkH CKUidmPsRhrDxZ9X9oAJ58X00JZ0XtDubydug4gBP0ltEIRx7q1AwL4yQZrA pBqMp2/LxvN9WFICQbg3km/jQUICrst6uAr+FA+Nr8GLB7vw1919+D2h3G+2 EF7sJozaw/78SmDfpWLX/tOCSzI5bHO5oNxoQrlnaNz9aBh9BfcWq2NojMs4 xoKN+AA8VE39r4XfwQY8tOAWnpjWh0e+7MF9s+5iaDhdhz1F4vCPJ56xuaRt /xkxt3TJUukVeHbHbfxpD/X/OPB+2i04d1E7FFwr6TzeB5zj6ZEKOSt2i449 mvBHx7HrfT6eRUBOuymY48pE6HNGl8P4j2qMmdWIeSV9eJcGDOvO30JiK7HE iVo4dhYI07BdJGMm200699FYezf17cNUmP64BT6fx4rNmnN9jsT2dRlYll6D nLss+tzBH9ObxK9i4K7TGLMhH+OmxOHJzSfx3KkW/IgGVfcnUD8mbITt32vh XpdD1+cC3AmEb4cvCrLb6f4yarsSLyiz2KR6WCnPEs/DEVd8g2GRPA/OeELS 2Fq552y/6fOPufB67j0M+fQgAr6ivtJIlSdIsX2ePVZdC9vG07BNL8XvIxtx sJUwOe8GbNvoum4vFl+OLmI5805lD2rfe0buO98TdsBoDiuAzzvlMP+xFqM/ z8L9GxPxxOFSPL7+Gh7eWo8h2/KIG+naEyNaduTJ0n0Pn0nCuJxUWNeVYATx wdNru2TSmHN+E3wmdtKgvxQvxHThQeK4ZzPu4NES+g4FdSBgKTHS2X6MCe3F z1fSsxnTj8eDe/Crrb14dVsPAjacFnXKFZWPsWHn8UzkDSyu6EPIeapnG08+ u47Ri24jcD7w/H5g3M47MPNEq8gcmKKy8PaJbhxo78d3YsphYaeRS6pEJDN/ ehX+c+n5jLqMERtL8XZmF17YX4bnd5fjbfq+fmd7GZ5N6MJzh3ow9ss2mD6s xNBZlzBkSTdd83apw2/2RSIK4uqtZ2Deeg620Ar4zaD7NKkV5mlXYF5/FqOD ehC4+rbwrC0oS7jLNyQF9rBMWCOUnaUzqhjmjadg3kz3bBPdk6hSWDcWw72l AoER3bCyQvZuI6wf0st+SSa761593PAibGuYs44pu8hVDEfZsM4pgm1qEeyf npPlJ8zjq2B6m76n4xswdGEX3AvoOZtUD9sHF2H6dzuMr1/FPX+4Cu/fN8D8 SjW8XzsD37/nw+fTLJjnpsCxIE1shK3LEmFfchjmJfFwLoyHZXEiRkTnYsSe SgzbVQTz/MOwz0uE9f0U3PPDAgE5n8/oPOcT3M07DAsF29cJML+TC9urZ2Cd QJw9P4HqomOWEOjNJ95ZQLy4IBHmhcQ6i47AtTAZzsV0fktOwLEsVYjMuYQJ LZ3/q7kkjU0rFrMURvsXpsC1IEXRGcUuAjIjsxmbVsyn8/jqmMKzeSfg95Vg mhEBRGj0+z87mXD8CLuNZePI6UcMYzFkWhKGTknE8ClJGEFh+JSjEo+k/BGM ahSGTYnHkC8S4P6cTmNSPEwT4mD8MA7en9CpTk6Qcg9Ts88uy8RL9Oj9JaYE H9LP5pcp1VjCPjbKmlkCIzTrxh5CtH0Xr1HMTul2N3QZXNh5vgs76gjjajvp FXCZ0K1TeC2m5gq2Ep8pea0TW4jbNld1MtEJy22u5tlBmyovezOfsUVlRSei znUgsqxVwobyNkY1I7MZG1MSqa0726pCGWVTwshrFwqxCak1yzKGFAxqaUMT r8LA/iUl1tMDPieD2d2kojWejBbicTMSwgsT8pw0ATcPxoklpFHATaljOsbJ lrcIZV4ejKOYpTT6NHlQjsOajFqsod/ntRQzzBk14UxQTmEdV5habdQwLpju RNCJKo75NE/wZ8jxKoQQq1GgCkKZ1sKOVBDZJVEqIqmSMGZ9YgXWJ5QhInGA 38IOUt7BSoTTO3rdwXPCcxtp/xaqin1YJuY3IfNsC07VtaOu/Tqau6+jm94j d3VK0pc90KO+fhHOFLUp1yODzChl7Yd+fWEGD/3pdpUiqVm/xcJygUdmMw8W 12TNhH6YBq9+qLk7sSirS/qzenoQpojOCHMeD5F981o5JbjGSMaxKbcVPvk8 ViTYMzgF3wT5iK+8qbwPQYyPjoEFyhTTKXW0yjZjGx1jVDzHKGeSslJPriba MS6ygJfPoz3aItwbdKwHHy08q4sQUcdFS6HUy6M+MRSl3RoFCjnSBWBYZLKj mBEpv9PwU2ldh8nBvWaMc2tGhEx9HA9qCb5FHR7Q1GFVlxr1NBMlQ65ZI099 /0BanalmpKrcymjwrLdvK24TOZH9VDJS6vQ5WIp0a7QqXlyKOxVqyhRFpfn5 sYuakjbph4aURqFVu4csZUaiNkNRn+kodDpoRiTlKUJ0aI5qlBLJQp4++5Cr 0E1QuUWmQe6BpVQcoZzq8Bb7T1/BScZK/5IOkSmdyvGLIkAfzQy2fUBbLOrQ TG29Paad4rcljx2S5vIMMgHCk0JwHtxxErE50mh4n9ascCjT43pDJzWj7ldS 85ih3CzSpxczmpGBT9PaNDzTTDZ9BAUJNAcjIuNeJtOJBx11xEsfMAHVdLgW fs15LENVNTo9KklQGaPKeaS36oQp+qNkt3iUQheTFpe2SmPWDIXCumioa5ge u9OT2pwzq64fCuoJIrPFI2OmxkaakaHiOId2LRmylJ2lzmyCUBqEyfw6wUBG QyHglBbDaFVWU7105NLpzME4Rdv2E82wHG8StOKZXYxVvI8xi7cZvXTkcmgo xvZsgmCEXg4tHZDcbOQMw3DxKKkX4d1+Ry950oNjzuc0V+l3RB1jP9aCAEqz COcKPQz/r8IxdHuliG9ESPycHKo13BVTQ78jF/GPlFvYer4fjybViukbm8AN o6HBG9ktiKzrwZrTfZhKNPfP4zfxaMIlZRIZp+pjE0MRsA6W48G4Jry5G3iV Rs2/29SLH8V0CzkJ1e3IF5Jy7jwl4hiTk2MzjfTnV+K+BV3i/fKRUBql7hwo w3RnpsCk4YgtExchTFujwtrxxCzg8Zk0wp7Rj4CwBlh3lcC6o5jIrgRuCg6i Q9veEvix2SQd/+w2Fuj6MfF4P/6Rek1oy8VtzaO3w3t9sE24IGqFhcozgTB9 ODWBzhpXwdKcCHNMdTypjxUny5x6GN6qxRNraFBR34+fJFeIQ+8EorrnjlZK fxxEOLbdxeL+z7VLeay3zEjFPb/dCO+3NhP9FMG5qRD37SjBH1NqsJuGVWfu 8hrwNzGzpgd/br2LF+p78OS+s3iARq8PJLTgwewbGBWeAb/3VsL0aRgsaxJg ZVJkZS2xRqN3CvFEdfEXYD10Xswl7YfrZdsSXw8H7bPx9sE6MZvk2BpbI6Kk dSf18d8hsP4tGP85XIeHtp6CaddZoWbLnnOyGBx73TcTpTpWn4Jz8il8FH8D y8/0Y0r+Hdy/t1zOyxpTCMt2IoBtRUJ75u2nxD0hq0NM+faFp2H6oBG28Tfw bHAl3oitw73r0/Gd5U14Ym4/HqZyflsyidjKxbH7yIPJGJeWhnHl6Ri6tRx+ 79zCAzO7xdWIczlR7CfX2eMg7t3XiafzbuPXRPDjNjfDuj4NI6Mb8FQ9MDy4 F94f9sL2GTBi9k38z4arMiPOFlogRGZanyXx6M2lWFPXhy8LevEDGmH8fCsR HRHe8zt78XRcH+6NvAXHupMy48u2PhsfZHYjpr4PLx4qFTtEVsecy09j6Px2 DIm4Db8VXQgk6nrjxE38dH8jXk9swbtpRJmJvXgpAfjprn6MmEY0+Hk5AhbR d/1rovCpRONf0X1aT9d/0yn4bKZrSP1iKnMuq4R7CtH7RHrLLGjF8KBLGLYK GBZE79KQHLFFtK45DsvaVCNLdoafw0Qg6htRCJ9IqiaqUDx6mDcUwLGhBKN2 3sTQ5a2wfFAJ339fFt3ZtCgVlq8zYJuZDfMUeoQ/pls/gb4GH9TAPIEelQ8v wPQR3b6PWgjs6L34Eb2HJ9Cv4ic0cPqEXqZT6F08mb4u46th/Q/93LxFl/7v ffB+k8Z2b/TC5/UueP2hA6Y/NsD7FQK0N+kU/50L88QMmKYT5M0hcvkqDkPC c8UT0bAdBbR9gODpIPUjEYan8wTsbNOOwzH/AJXfB+vc/fS13Af7l4dgf59A 9NUiON4msJ2RCMecWB4+zY7jlaPnHIRzNoU58bDNjYd9TgIBWTIcXx9lWINj 3nG6BccF1OxfH6N0CpxzKX9usoI115xkNkghWHN9eVSCH8czjsI96wj8CLYC CM78pybSZUhAwOR4anro5AR6/44gQAucnCjxMDZr/CJR2zcSAZ8Rt06MpV+j WDrFw7jnfYK48Qdp+yACP0vAQzOS8fyyFPwhogDv7DqDz2hMv/Bkg8hUUZUd 2FbXjb0XrmN/03XEXryOQ003EXvhKvY1XMXe+i7sOX8Fu2quGpnkaOzBLLe9 pgvbaont6IeL08xsMcRv26oV2zHP8fbWysuK5yove9FHhxeBHA9OoyvasPHc ZUSX87s/6hwb2QjenWkTvKMcRJ5t5jQhXhmPSjYQefCuCLGF5E+TrEDPC9Nz CD91iQJvt8qqekbOoWrDmPCY6jSfkbwdVnTJG6GFzHbB+Rc45dlqYNPKvHqd 3jh4eXQ4o1DcgBi3OqtO0jrB6fHqdEYzYjglyQm9BaVxnvokfuMU1oq5I3+a EUQgRymsPV4pihxDXPCxSgQfraBQxRxXRacTmlTOHCchLJFALaGcQK6ciDf+ nGGo2hS2K+ccrD9URix3FuFxZQjbfwbB9IZaf6gcUfEV2H68hpe9x/HSS8ip aMGZC12ob7uGtmu3cf3uXfT297D4ps2D8/YspieaW78CKsPAIn39g9aDH7zu 3oAqJwsWONSKAz1S7m7/wPrvPoPI7RvCnZeynKQ/y7fjm48CmxwaB+dehi+h lSlPZsHldhgCZNuX0SmfoYdlr05POW/GPRpL6xgn+/NUzPsZ03Rkc+bLGgYF nTS+E/VP28dAxOgoiJantnVUpNJSP0OSgi21Xyl5A9v6sbqCqCuDnE/tKKYz SzV6E/phevcobeQErwKYp2hQNEk6UwvBA/dEh0i9ZaHGgg5dHPTgni4gMjp6 SdM+ku8uvDIwLbFIDPnyOzR9Uj+WcU5kq8IuD2py/S4B1qIOAdY2KSbAWsSu /HkfT1y0KkFRIz/NeFUkT+42q2JCokXsK7OokyfgaUVdWnBqvWPoFKNISjB6 FF0ZUEGLlBmrkij5x4hb9lFVFWhyI5WnsgbVjJfneK5N6uRZk1cM41SlXLjo isijovgWKqmUuyt5hZ0aqA7onPrsPX3mo03zucrlBIYL1LnwqfNzxuKfVVsL QcctIh8j+zQksDUTBFnSFf7pdopMOvZUDQl5vXVGFlZu0tv0NR4E1Gg3r5lG vKRYz3fANFRbb0BDK8Vo/qIMMgqKQqd75tCw0Kqx5/+dJidKYMaAtam0xrT5 gFQlE8tS1WHcst5/Pk2ewGjTVkXk2J7R5nGgopeTOYzaeeoiIuMwo7BYiGYo XHOkNIvrQseJS0J/vG0/wZhF/HOcXwDOY01GdqZIP/LsccM/6aK4VmQoYjcR nLax1w4CKPcROYDKmqWs+WijWLFJuWMXPOUp9mEyk3qNXJTlViItO+1kvxOc tlBQUKcaY7NCroxjcT1CxMU2cTyxSXw9JvMbjhuHKp9EJJfULGVtM8IQMGcd /HcUCoGwFmY7VCdaGm/zelcfpN3Fxrq7omVZd5/Cy6l1WFd1AyEVwMyTwH+P 9eD5pDaxuROzwgO8nHMZbPt4Alq5EJ+N6Gro/jr8ce9N/D6mD7/e2Ic/babR 83aigx1Km2KthmnOxqaHe4jQNp2B//wKjFp4FT9e2o9HQq4S5RUS9RTKwlNM ZGyWyeaW1j10LNvp7WXn5JV4bPZdPEIEN24a4L+2WXQr67Z8ITIuz+THhMXa nB/17+nNN/DqfuCLdOCPcTcQGF0Ny6JmmQhnee8OrO/T9ZhSCcuU07BPPgfr FCLUL4hQviiDdSrFU87BQfvtU2h7Mp3vF+fg/W4tDP88i9djO2ik34vArYX4 uqgd2Tf6MJpoxRmjCIbP28JrlxG5jNlWCsNrCXhw/CG8Qv0Nrb6Mopt3UXkD qLsJFFCYdo5IOrkHD6Rdg38cUdj0VBisL8HwyNuy9BUvK279MkZIi+8lm59y zLoaExlrbg4iNtnHMdGck/LZrtF6UGmyVqI1NnO1H6gRM1p2Wmgl6vLZQTQ2 cS+8f7kYfz7YhJU0cONzsG07Jc7i+dqyxmaOKRGf95a5BRj5ZQ0+TenDO6nd WFzYhym5t+BHZX22FohvfPaT77NV+T5hJ/emGMojYrV/cQr3/IsI5bMbmJ4N fJ7ej/tWnYN7TRzun1eN7y/pwsMx1TDPqILP+BwE7tqBYQcOIzA+H2OO5mJ0 TC3G7r2E0cdPY3hEE0YGtWNURiPuS+rGK/HX8M6OfvwotBvD1p/GqwW38BIR 9g83EbV93QfH7G74ftKLZ4OA30T1w7WErh3P+opIlxlg36fvQsy1Xry17zrM k64gcAGRWWQ/Xt7Rh/u3A09QuDec3kNh6XLczMLbiKrtwyNb82AOSYEp+ATs QfkYseUqAkKb4DOpFUNm0Xcj8S5+e+wO/p1K35Ej/fjuDiBweTfum38DY+YR akwvgWt2E8X0Y7P4rPjh8I6i709kETtTFC3NJ5qdKJYSWlTA/XmjEJxr6QWe CDdyba+4PnEH18O0OgWW1UfhuyqZIQ7m4ExYQ3mS20lxJWImKjKH5ol050v7 xu5ow6jtfXBOo8f9XaK3/7YRldFX/QOir/focfmggQiOHqlJ9Mh8cVZWmrdO pcfpU/oxnkDE9xGNUSbW01eFHssvSzGCV60/2IXhK0vhfL+S6qBRwCR6fKan CdH5vNMK09s3YPrLHZjeBHxeA7xf7YHxt1dxz0udMPzqAgyvnIPprSIEzDqH wC30ExOWLdRlnhsH+7RDMDybAcNjZ2H+zyn4Be+Cc9Ze+rrsJ/rbDceMfTBN 2w8HkZ7tt/Rz8qd86v8R2KcS5U2n46fsJTLdR/S3B86phEvTDsA+Mx7OGfH0 yzwziY0ovkymKo9QFsHf9AR6TU07Qq9Y1/RE+rGIFzDzn6IUM38Okw5h6Ofx GD7xIIZ/dghDCMaGf0a1DZuYQOPxIZMS4Ee7/D8ibPw4DqYPY+FFfGYgPjN+ eIiQ9yBGfp6Ix2YdxY+XZ+L363Lx7q5TmH60GktyGlnCYjGMOKwTcRe7cejS dfrdP9h0jXrK2wcaurG/nljtfJcRe+toxLO7jkcsu2qvUKqLYyq/s4ZGLDtk kpqocNUdEjhNxEbFY9h/5FZZCGBLRYdg26YKHuDRJ4FbOQ0tN4m3yI3l7Ygm ONNDVFkrjRgiz7IJ5IYzzYg4fUmF0hasJ75cX0rvPUp48ZLmRl6hjY0Oiy7K UudhMv8stPCCNy/bxvJVfqMs4BaSxyuPq8/g3HrdsQi7OqFPm7BXSHaDBDGG zGnQVTVPrLEYq2zCYayohWTUsxWkQYln3sJgQWl1xGO1SlNbm1LBs9lYUyM4 YvwKOV5hZIGNs2kzKFloDCFJlaKscTeJyJjKQhJ5vcSQ+DIiT2KxQGGxcOIs 5jAO4YeJwQ6dRSixWAi9U0NiyxG0/zTFZ0VvY1tKdiPJC6snl1xETlU7zl28 gnptDbgbd/s01NJXAIDhw28RyPTFzwfbM/p8S7nBC6LreUO/JU/kO4Nl8AoC nqXMOb5D4TaVv93Hdpi3eonubvM8OkpRTZTEnX4J1OKdfrXQ3LcBoFGJePo0 OZ9vWe78/m85taE6X/Z9W+cf+hYilc/HFUHSV5uBz0QDbAY+hjUrBxpscx5v u/KuECB2SJogU3HlfZ7DOFhyWkUutOa2CQtyURtRF8csFeqQph+jmFNZkTKt OfMGiEyXHrk8y5LMqMyvvHq4UFbeZdmmbmoE5iX8qvGjQVGgVfqi2u1UVqe5 7d9gVG1bsaXDA4B6EPVR0wl1JB2AR8Fdgzp2hACfGLDmDRi98rRExmgdDnXt UU6xcMAwlrFc38/lpbvK541ceaEtbswpCxjwobotLVfHecKb+Zc9/CllClWX TIotGRZ1E10uzsAmEyW1w4n2jFxecFAdqWCPzWX9dIIVQJR5khoN+1HwiKE6 1yuslTmP+pxM4jpVl+qL8vKjK606uCqu9PRB40oFnMzhWneVPMjQ6q2cfWrV uPkUmFp9NQDv1LhVUTQdpnz9eAllKgHzioa4Jg8ei1zL/ytgCZafqlzxuJHT zm5Dc+hpPanURkZOW2ar4BqTHcd2DavMhJ2WtDb4UNqXEIwd5ZtTLsE7pQle KWqfhcpY01r4aeW5cGzt6C3mkU7N0SRVyKaRLYYAD8ba05oE6XR0092WCNax mKcjHZVjjx+cx31i7yCuVMK8VH7f0B6+o8cvMfIJCjoGEFBiKxGeRWKVxw76 mejYwb6Uof2Mi0beQ5db25ZyDHA2lVZ8NlKy2Gk+H+7WnFJYhOsuCuNZki+I U3hmO4fmvIL3MXzyVCln4gVxYsHTzRxsF5nUKCzoTtL5UHjRyAfyf2OkCnWY X6I6jItbND7VDjfy/CrDCilqT2qSwK3YtAlado1MVS8apVfqUBoSsnVnIsX/ noNhC6OF8JgmRAdkQhFtT7kTmZTVh00NPXgssRILz1xF5Dng67x+/De5Dz87 0iFeIPk4ntnFtGfZe1p0Pp387AeU1SST56vxN/HG3rv4wa7LeI1G0b/aflNW AHMQadjWETWupXLLiNTmn6YhIx0/k4aQi7rxo5XA0+E3hRgd22lEvatAiNPO SzhTHmtsQp7UDuuN9y/rwndnA/dPJXKY2SMuzHm5ZPYiaNlE7UTQ8DiErsHi S7DObceTocBfDgJTsoAnV9Kr7J2r8PmoC46Pr8oQ2v7eKZjGE019QO2MPyNp 8wdl8H2ftt+n9HullHcalvfpXNkb5viz8PpPIXwm5uPznJuYmnkNxgnx+Fdc I05cZXLJEhFm5O5S/DCxAv/IrMeXpR00DutGeP4VpDXfRm1vPwquAfQ7iZTW u9hBr+k/l93C0H30eETQ/Q0hwpi6G0bn72D9yRS4V6bCueWsWI+yVaw1logx lmfF1YkrGEsc/6/aGltj2CgeP5ki9cDb7NHTtr9ayFLy2XHonip47y4X/Y61 POvaIhh+Nh8/XJaBsJouDKX7ZtqYJ65FeFU2m0aOvPy1M5wI8vM8fG91B/6S TD/sm3LxHl2HhcXA31I6ZCU32+Zc5VJ/C12rjez2n1d1y4ElOE9WB7d+cQlD P7uOP2wBXtnRC3dEiXhx9A/PxqOhNXhkTRVGrc+GbcEReE0sVl4eN6TDvrRY Zo4NC6vA6PAGjN5TgYeLK3Ff9jUEbr+Oe7eV40/77+LtXf2YndmDv5f04Pmy fnyfyNO9ip7FlVTXnDa8EAW8uB5wTuqHffJt2IhwzcFp+M7mSuztBV7ddgf3 fHITtrmtGEdtvbixF2NDr4mnywe29yBwAyETUeWS0+q/NcPWpRLiHSP6zMbo A3cQEE0/XEvz6Tmvx8OLb+IPB3rwy4OdeGEfZOkC5zz6oZ9ch/tnd+Le+eXy Xw5eBZCPMQWlwRSSLbRpiSyGZQM941FE+5El8CXqtISchv+MGjg+ox/XKd0Y svw2hq8BhqylF8OaHNiXJ8O0LBnmFUfFJ4l1lebfJCgbprWEmmsIP9ekwLHi BNwh5fCPuiXtW94/DfuH9FvzST0cX9B3dRrdw9lpMC86DMuCeHEpZPmEfoc+ oDfix3SfJ9XBPjeHLSjpXbU4yfAMHMuz8MCxXjp9ejQ/LoPPu/Qy/4Qu7dwD RKj7YZ9NtDf7AMwziIInEvFOoK/Vx3TaH16nr9tdWN+5C98/34H3KxR+3YV7 Xqd31WuN8Po9gfbfc2D6Vyq8fpwNw4P5uOe1OgRuTIdf2Aa458UQqMfAOm0b bJ/tgnXyTlgn7oH5N8Xwfpl+St49AfvnRKGf7YZ9EhHm5xQm7iJY3w3nZ/th mbyP4lg67YNwTz4MP+JF96SDAojuSYe9MOSTwzSwHPppvNhFDyU2ZKwcOvEQ /D89THvj4f74EKwfxsHn/VgY3yOW/O9+AvYD9EtzEGOnJOHJr1LwizUn8UZ0 PiYQW8w9USNWikRoBIDtONDYhcPEjYnNN3Ck5SYSL15DwoVuxDdelX2s+8U1 sAf0A+c7aWwcW3+FUl2MlthT24ndhIz/P+6i+Ap2VXd6aZS5vYrosrIdWwlh mDS3V/IIhnKYQCuIQMs7PGGLrFROjEklNhFSUkq2jNhYxsZKG8taEX22FVFn eLQQxTadkafZ2wlnUgobStnhifqMONWEdcUXsL6EX/WUonHf+uJLnuXB9SXC Nfxk+DTyanFGIVBvZk5eSEBCWF6DNyeY8XLOI5RhM4vNNkNO1iv3Jr5ClZQS lY+DZqNpFMz0UtPtmCZTeHpdUEotf1QLUBJsHqsWqqTdyVUSROcLOlLJLRIM hlIIiS9nRk6oYGeZhxVQclgfX4nwQ+UClAyWnCawZLQ9UGYYhmB6dYbsOyug ue5wBaKTqgguqxCXVYvkwkYUVLTiXGM3GjtuoO36Tdzo6fmGdeYAQ/UNmoGn dLzxnpT5W3jsEQ+FDUa7HtbxmBC9mAtxg2q73ttPO6719Zsl6atnSsyB0VHH SbpSt/r6hDPv9EkQeDR4eVD0rrSjL13+f2b7eX/LDMAfcEd1fy398FGblLqP U96e8/Pi+hSN+nggmBdd50DXSfHk9zWe9BEh0pajBEnf7DZ4Z7OtnFXczluz FSQy4PFwmgHPRjGnOd8mZelI6rGZjrUIXLYz7BmZHNklR67iSqt4s+eiT+ho SvFlASidMUUL5XS+RxelbU3nzGlXDJqnyvHxvNo1mxpyl5g3GdK8CxTTcjln rtJObXnK74xjkD46YLJ6WdWbowCQ2ZPr1fslzMkIbZaqdKeVijEVemksqujW 5GmFa9axkXvJrMRlGHl4n46OfOaaOqtg2Guw3a1GrW5VJQMbQZxVF4bzFVJK j3JUk6pXqozSIzX7W67Gpopo192lyZrCgoNmfjoVcxsU31k8PnZ0muVyGobq PMn6dRHTmkXU2c4B/VlBqa9HuhXL3AKPqql4cZhnRqkAfX6npzhfOZdGy7pe ydsM23wuXNZV0CUKLl8abl/uofr/gmrdR2P2Tnm0fCh4y+lRivb50CHebCWt BaP8W8Kb+daH+89l7XK9zUSoXAM3YitQMM1QPZw6MoJqH0LbQ3NbMCqPHpqx efw03Ed390G63vdnt2NMVguGE4UOSRPCYxNq4jKX0JsXYRcHXwIZI4GLN8Wm IxwoTTjmSzzE8hujF7MRYxiLc0bOYRlU0/RsxxrFlyRTHm0r6POS3d9Q4oyS NHlI8RuxaIJckFvwEW2Q5T6XxLIMuIiPF1TtlkHYqRBVXKaoSgRLqTMafgZI Ppf30/abeU3xZI9OKMwp28kqthyt92iLQnZEcsKdifwfVsphr7BJjR7qo2Bk YqQvrA6BA3G9hykJCtXR8JCtkKxGqSKNJmqqJrvaPNIgswMdf5uJYctjhPXY TpM5z0EvLraf5Nl1vD0tuweHLvZgWz07egE+SAV+F9+Jkfsr4dh7WnGjZoPJ tpJ2baYez4qT2XC0n1VL274KPLqzkVigHw+HXcFDqzrxCLGeazbxzmRiuy/K 4ZhKPDqtEk4a+7pnn4d5zkXcu+omfrVBzTz82aY7eHjLRVHGzNsKRSkzi92i ZrO4k7hjRwnuDW7F977qxf3z7mDUzD4EzqDx/5fNsEy9Ctdn12hAegPOj67C NoF+WT7oxv2r+/DWoX7MyO3DM6HX4T2V+rS0BpaZ1bB8SFzGy77RmNwaXAxb SCnsQadljO4IpWu2ls6btu3BpTCvJqYKorH8QmKtj/PwYNA5rKy/i9diL8Aw KQlv7rmAfReBlyPr8OdtNYisuCGMWNIFlNM79NRNoOz6LaR03UFs+zWsrGzF 749X4c8lzXiy6BZ8VxEnzzqKgFkn4fODiTBYvwu/qTuI2cuIAavE+wrPaLTs pb4TB/JyaKZ9Km0mPrQcqJZVH2z7iREp30blOZ/TDkrzNnvmZw/97M3FtoMG 76wME3vbok/hnlfW4LGP92JTfTce2VUkS5mx933rJl6KOkdWXPAlVmTP/I4l xEYTz9C534Kb+JJn4I2ie7P83F0sPdOHnxythXVjIS+8JqsEWKKLxHMKM6J5 bjaGT63Ej6MuY9S02/jeMuCRjXWwbciCKSpbllYbHVONx9Y2YczyAvhPz4P3 m01iw2mOyCZUoefu81rxXDJ84hWM2XYGgVtqERhxHSOTcjEmPR/fO9qGXx69 g1eO9uI5eqafr+nDcLq3zFH2tcRSa4/h5V3X8JPQHrhn3IB7Wi9BBY29PriG 5yLuIroTeCvuNryn9MJvRQWei76AJyJuw74iDWPXduC+zcSBxJjjtlRhXnEv 9tTRc7XqGD0jmRgScxX20Eblb2RlBr4b3o0XtwIfHe3HL/bQc7mS+H96Fxyf N8D2yRmMnXMLo5fTz9mUbFiWp8N7BfHfmnR6Fk+K1xXTellZwMATtAndTevo a7GeED2igG7DWTins2hJL6hZtzFqFTAyiB7/NadkUp5lSRLMixNhXnoU5iXH YVuRzG+6FScM42FengLbMspbSIg5pVAEehbkbV/SrZ9YCRNddvOcQ7B8FQvL nAO0j76CH9Hb90N6/0+gUcin9OjNoMfiqwSxC+WJfGwLav06DqZ58RgadQ4j 996l/p2B918uEa9dEoWQ1UTbnMNi0+m/9CTciwvht7gMI0KrELipDqP2NmPM 1mYEhNJbc+EtOCfchu9bvfB6jcIfaND66l34/K4LxpebYXimGsaXqjBkXQmG 7T6BEVEbERi2CcOCtmBISBTca8LhmkzcOGEfbK+nwPSHPFj/coTYdgds78fA OX473O9tg+N9iv+7Hf7jd8D9wR4EfLgX/h/HIuCTOLg/iYXfp3ECjZKecJD6 FEeweAC+7+2D8d09uOdfeynsg+GdWDr+AMZOjscPF6TgN0FZeJt+vr5IKMdi ApiwokuIqWjDfoK+hKZrBIrXkdxyC8ebbyG56QaSmrqNRIzd9J5gbjzc0IVD 9V2IO3/FiIP1XZQdW08YeZ7DFcTW0Rs/tq6LXntc4V4ixn1EjlpMhSlFL789 VZ1MkNhZxYM6/vTBjkqFkXqgbdq3rbzNyP0zYqtM/ttS1qZAkmIKXtjMk/82 CiNuOtPCKUSX8uAgurSZCFL8Y0aWNHGKY9pBn0SQxfQOjyi64IX1hWrB8AZK XZQQnt/ozSuHG2WFOdqXXY/wk+clUNrICepwaGatrHTAIZhIKzTzvJq8p7Gg 5oJFbTFu6nx4okoxIU/jsxMTlovayLagug1o6BEKiZUUqhGaVCaSo2wn8PS+ w2W89J8mMIYdFLHRyBvUKY/ueJCQMO401uwvZVV072kavDImhh84i6jDZ7Aj pQqxBLppZS0oPN+J6tbrsvB45807zFvKx8oAKg12w6IxlRIY3+cMX97WlcjB 4pvRA48ajuk7vDzUZRoo4o2eQWoj0Z+RMZCpkXXJboLFrp6+QQHopO8fffTR oZx1lYpowYjuPtp3nSXIG0KUN/vhgc0bfRpoeglk6kTprdRKcQw6gJVMfp6F 1J/WrkY/hn7L+Xp5KNPpOS1v3Z/o/1teAkLeBm+t9sFsaxrEu2wj29unWct+ C5Xy0d+gUi/BO9PJVlhksTRmUgu8c5qFRBnvjDmtonpyOS8iUQsvIJDTociV P9i3helkM2FpiwRmRHFIkq1UIT6Y8ZYrtJxs4bTC00ApyhKp0G7egFzKMVOv xNQXCwV7TosyTM1VCGqnY9hzPyOUQtLL6lwUFeuqrYbCYwU97dkd3ygzcKwy 6WVJVgicj6Vz1/2r6G1y2qHtE5Bkc+E81Vf9GClLWGuSulvpGPHXkadrqSKz 5mrybi6bEysw1Wd/CvvmK/8u1Bceeeey9aVuWqz3mdOO/DaeHNrKLsLy2zyI LM3kKmoXOM1T3R5QgnmGqM0zkVRvWrdW1qVdk0btRLDaJFQvTxu8NRiibXn6 5TZJHp+SqOBicW1S/7jQbouvusySbeQcKs+P1j30OBhy+THkTyvdjg5OwYti LzrOUKD+S2HU/nth5P8+8CXgbliUbkrd96fu+Ocz0LZjGDFkIIHsGOr2vfJv gbGi+d5PeQ8WdeDh4nY8XnwZT5zqwPdOXcYPSjvxDK/Q8eypK4ZH8NzpTjx/ 5oqEH5++jJ/S9s9PX8FLFP/6bBdepnyOf3fuKl4524k/llNc3onXKq/itfIu /JnCm5Xd+EvVNYl5+0/nruDVc510zGX8uozCWarjTCdepqZ/VkJtlHTg2cI2 PJXfiu8WtOC7uc14gr5LD2ZdwrjMSxiT2oRhqZfgd+ICY2Mjq8ZEcoyvjLGC tBR8k2i3VyL7a6YkhQb4EFqZCOqoKH/xWRok0KULrVucMupquOsRNx3H1NLb RImiJArhegn3jRKMtGoH6HatXAHzMaftxxXrMqaKjSxLmckqVg0p+ZPrMCUr npY6jg6k3cq2VjNr9fFInIozRZTkp/PIBUOYaJpODV1diY2idbriGz0yqZMn rsU3SMyT1sQ8Mr4elsR6OYbdlnAeL7XOHijdCU1iSunadZZGWsswdM1OgVDn njMCliJKElBa950Rn/mLSvoRUt6LaenAHxKu44E9lSIgurefEheTDIEWERdL YNpBcEGAoZYMI5AJLYOdRsTmr87Ad2opXFOrMGw29W1yNXy/qIJlCoHRjGr4 f03nMLcBQxcQ2i9pxZBl9EO4qhUBy9rxUHAPXo7ux0sb7+IldoezCfhVdA++ Q2DKfXBsLYSdYXR7gbhJGbelEc+F3sGPlvVh9Lxb8PviLo02u2EfTz9AE+lH 93O6R1MvwTq7Fj5LCYDX1uD7kX3462Fg2sl+PLubymwloNpCkDWd+vcBnd8a Gt1vJRDdXAzL9mKBYMvOYvEwygBs2l4I05aTIuaxe5V7pmXjHhqd/zKuBbsv 38av99XDjyBtYfFVpBOApl7uQyG9nPOvEoxeAw5c7MW7B+rwg4XH8d2PduOp +Ucxju4Dm5U+T0D6GH3973llFXx/Ow2mV5bQdSmB462v4FweB+feOoFIF693 vocBtFKgkychMmDaGTh5Kbg91eKOyLaPxU3HXhqBcZL/e1BJN74CDiJQ+85y eTDM2+iB2HoKzk3F8NlcCJ9Je+H106/xOX1z3jhWJT5beOUAc2QOrOy7hdNR WeIjhQ0w7XOIGGdV4aGYM0SRGUSROXJhHoutwJLSfqypBYZFnhE1jtHJEpYP S2gBzEE58P40F8+svYTZeX0YMvkmxq5sF1ervIIBrz/HC3uzP80Ht9bihbA+ 3DeLHvzxhbB+nAfX5gT4rcqTB4ztVkcEVWD0jjIM+bIf1iX00K1NwZg92fj9 0Zv4n1jg/pibeCizBU+33MAPy2/ipcYb9IPYhUcOlYtvphc2dMO0ks5pPl3g 6d0wfnwb/7O1BzFt9GXYcwXGSfSbvKoAv9p2G2ODm2BacRy+K47gmdCbuHdD P+7fBSw804+g0g6MXEfUGHUFfhEXxIPlvYRXv4npxU82AH/a2495mSDCvgGf FWfhN5sXhKAvw4yreHBhH8Ysy4H5/b2wLE2AhTFy1QlRIS1BJ2WlA/YHawrJ hSU4V4xgLSFZ8FmbA+fX5+CaUg/7J9cxZN5dBNKXKWANkfviY/BZlAiv+bGw L4oXPy6+C+NhX3gE3ouTYV14GL6zk+nLUgDrByXUnzqM3noLloVpsE6kL/jH 9OP25RGYJ+fC8UmHYKjXh20wf0w/NlMz6ct1iCcSwjyL0HP2QSrLxqcHZds6 Yz+sM+MwPKaT+lQP4+u1RNr/29d5wFdVpH//cpPcm94DoSuKiFgXCxZEXFHB ZV2xrGIX14oiUqQLCipIEQGBAEmAhB5aCAFCqCmEJJAOIb13AoQAIcn9/X/P nHMucdf3zefzZObMPDNnTrnnnu99Zp7nEvzDs1QczB77z6MXIaHPsVzccSQf vQ/moWdUPrpEFKHzjhIEbilA102FCAgpQMDqEp7/Mvj8ygfcnBI4T+JYvmyC 45hmOL56DaYhTbC8WgSvHzKIv3vROZwYum4zuqzejIAg5sP/QMC6NfD/gaj5 Hcf1RgI8R8TB64MQ+H6wAT4fBsP7/Q1E0c3w+2gzvP+zBX6fbIPHx9vhNGY7 TB9E8Jv97R0mL5LmDrh8EIHOX+xF/ymH8MS8oxi5LBFjNqZjalQu5p8owMq0 crEaKrPkgcomHK5uwtGaZn4eY6ua+XUfQwI9xLroskuILr2C/SWXEU2RNIpl +5S/mcgSmcWkoWgj9pA7dxc2YFdRg+JQMih1dqupsbsKGrCzoFGEZRH5gqA7 uH/mVLpDfIVuy5OXmy25tZLDFrVoUf47Ivx8nRCokk05pM1wWaO4MUdWJW4Q As2qYSoRGtYLhoZmiouEECIocyoNTq/EurQKrDtbibVnVGqWDJk0tZzHEJRS Jjklkl8r28mlCFJrE1cnFfONbvWpUqxKLFFi5Ffqwc4l0PkfEmWPLCpB9syS 4/epsOfyE/mqXNLlx5V7mWMFsqqQdcKiBo/K4sMVh3MdsDzmAoe07FCeLD+0 y7LoXI09o8+JqXJftoRyEMrUDZSSXx6ZIbvel2nyxXI16/WcmvG6eJcQaCYW 78jA0gjqUWR1YvD+CyTQYkTxECRC+llewrzqyyo8Q9ONNg3DbP8zv9Nstzbq 7mO04Hz2GAyQoOo6aOG//9pN73dobriLsehlf/YW+mdPNbpYNM8yreLKRudB ZTtVYroV7Y+XTCoE23SOVcZN4U6SrOLYyzrLNrQKadfdJOTWt/IAalqlo9o2 oL6tTYRb8t8qkItGdisi5GvgLnujTpMCQ36fioVVpYpybQLGN2ya9VQtubTY A178lyF3uB3I3e05JzvN6pN3hUZboVt49TKZENyiytSOFLAzZ1JZO8+62EfQ AWANsRnTdA2A7aO8fDjHkSjiauFEOJXUMUHLO7JcUhfqOAmN6DpOBF6BXmWG jatWJlUpE041oFTYVYddVSd6Uq9mO7KMqKyZYsm0ZF0NhZ1Vlau4K0nQZguL uqg4G7Aiaq5qL9KbmhWcpO8xQUdffRQKsFnAKyNU6mbYghOll1O1amdaS0Ok WqBYUktitcHZxgxmZbmkWHQ0Fx6WbXd9MEZ3Mm7FpKfqjD3aLdSGdVqVx9cZ 05sVZ9eIHxoZrtZRnTFd2qwmJTvap0G7a2ZljQtvMwzZapjCgWb9HMhQFBdy F1ImqTCimWJwoLqqkme9k75X4UKlp/qrU4gtOsbKXsMKLqjtLQZ0oXNP+LLK V35VSKomN9bBn7vrQuTsRunOOmFI0iPZsRF3pPBlO6Ued6fyKO6RKbT3pUo0 +AfONmLgmXr8jSz5SEoNHj5bh0fIlmRKPEZofIKQN5iwNzhdWHRIphh9hxIs /56pyfMCgpk6YDI/glD5UrYsxXgpR/z+/COrXnKUOozM5hfSP7MazXg5W35c HZlZz80Gbl0UcRDK5ONAmlBVFVObeeHPS8KrHAJz7Nwop5hUn3zYKT2W/ytT 41VpT3Z1xKicRlNfvE7Ufe38ZYzSRXBXtl9j18a2NH+J6YsclUJcihzZMzwL T/LMPJoqqFuPgTzTf+M9+QA/bv1O1qDPiUr0OlaJ7rHl6HakHF0PV8BPt6s6 E++ciGtEWwW2nZg67itTqGtmTanJB07ENzMxzjGqRIlAr4vMS2Ve+TOJ0nBP UFHQT2yPgpSyrcy++4tN2jxYPzsaCmp66TNvpS9JxQ+K9OnacR6sPjNXBTM4 UKpwUsqlN4mSLuMzrKgyX1a8ZRqoavTnEiX5cruOmz522a/4WyHCyudtn0xB Ej8s+rEJBkcW8/koEcpl9Z/oOkcWqqjRncetUcuixBYqq/ZciaIqYvrWMxgQ mYfZZ2xYlAWFsGNOXFH+ZsRu6bHxlFqJKXNknZcQ4eYQYxcQ774XL5wZ8J7I dHIOfImrXpPz4E0M9CW2ekzjm+QMvnHOIUL/WIzAn6pw5+9X0WvxFbUkzXPZ eRUhwD0kQ9lIvX+rwW1LWzBkbSu6Buegf3A5nll3EyOCbRgh8yWDb6Dfhgr0 WFeE/isa8Rjfzh9fBAz8BbhzZjvcv+KYv6jg2zWP+bNiWCfw+BdnKo+g1jAi +uYsWDamYfCmFry+U1th+Byvp1OwxIs7DeuXBbB+dpZUdQqeoUTa0GQVvdwi 9r/1GSq6tzU0Sc0l9QihDsuf3FuAAYvL8OruBvx6AVhf0o7tlTewu+YqTl+x Ib4RiKq9gaDSS/icr2sPR2XjidA0mEeHwfJjDKyzo2F+eQV8HpqGwJfmot/u Srh/Hgbn78JgXREPz/lx6LK5HP4chyfJzGNLDvE0VyGqdes50ugFgVNYjIjl W0kwpFNn6jhv13RFTxEr652ZSuw7l805vL45cNqUBVdB9eBUNcfWdTXJcQ7f 6EcvxaBfz/LY0tF5xhE4frkT1mkx8JwbR7wnua7U4utZlp9Al1/j4D0tA/4T 89DlJ/Y9PgMOY7OVn53A7/Px8JJ6PL6sDt7fFML8QQasn3Msn+XB64sCOH6U D9OH+eoniBdD+T4xFvD+9jrvGX52fryg7NZOa5OVh1oLpUdwPl4Ib8NDq66i y2cNyrOny/s85gWp8A2JRbeoRPRc0IRuk9vhufAw7lidhNcir+MVsc/zPrlr Hukw9hz6Ha3GXQfqcFdWHu4rL8YgosSzee14mvf+oKP16BKcjYAlF9BlYTve PWzDxqo2PLKyDQ6TrqDvykIS7E08HF6E4ZEFeHlPKT6KuY7/HAQ+iweW5AJB +W3Kd9H7cTfxdsxFvHfwCr5iP6N3t+Kfm4AZ8W345NA1uEy9BudfytB1RTp8 5hbAb2YzBsy7jh7zd8PyoeZd1ErSdPr5ACy/HILzgsPKhmtdLHNp4+C+JB7W pSdgYeq2mNsLEk0SWXZ6LrzHV8JjQgu6zRfTcbMyeTvP3qvmwjrP2i2Pjxl7 Tc9r9tFZ++A6+Qg8v+ZH8UvK1ykIXHEZ/aN4OX7iY+CbA/Dgx8P9c359f3YJ np/w+/TTIljHx8J58na1itJ9EvudFAHrpG2E2q2wstx11kF4zWdfy/MRGHoR fXdwLIv53f0Wb9WvL6HHpgp0jyhEtw3FBFRCKT/a/uvKELCqGH4riuG9vBB+ ywr5aODtsjQffovz4Pt7nlYelK6coUqADq8ZUfAYlwanN6/A7aUmOD1bDfPg y3B/7wy8Z+2B/y/rCbAh6LpuGzoHbUbndRsJ1BsQEL6W+VB4fhgLj+dOwG30 WjiNXgeH14MJqv8ONnVBp3+HweXdcHT/IgL3T4nGkLmx+PeKBIyPyMDc2Dwx /WFDRiURsg4HKy4hlp/8Y7XXcLKuGXG1TThedRXHa5pxtKoJsRWXEVMq0oSD ZZf57D5QeslMZuU3+IGiS/zKFXyNKr6kZB85R0ups0eZUIv4nd6BVfPrRWRK bn69A7ZfqHfEtly+jmw9L04ctpyrweacaqZ1Io7c4GtjeJb4zNmUXSM5tWVG mIpZIUexMbNKUrWlSDWdeJpWaYgZIWdlilOw0CkpdJ1apyn/He00qgvJVcWt WJNUgqBTxSIyCzexyEwWFcelQqSrhU7ji8RCSR61Suw/LfKf0KgeAVAnUHHb c7SAOiuOXFDBKVYcVsEpBESVT1NZc2mWNZeyjjT6gsLQZVGyDnPF/nPcw/Ko HPwRlaXjqLYWU/4pI+k5sqistvx9Z6ZaeblkewZ+25GlecWJOqdCCW49XoD9 KeWI5/lMK25Afs1l1Fy5TgZtxfVWm+HlVBn5ZFFkR+tdu+2WkxwdaGx/wagw FmQqo+ErOlwpQMKfmhnOb3Qw07vXPeU4ap5ybvFmRwOlZjW1aRNiHew2TDEf ttk6TJdthW7i1EHOprOsvkyTb7r6JFwlBqtqnEoa5fmoYb76Zhsqb7ay98oW sl7FjTYtSwGqbsqOqlrbOG5RJNoqqb9pwO5FmePbyNG5kl+hGLZJJ+Or3DbY VUZwQyNos2H3tP0XNvIkjrafWWVHtjsusgdrdO7we0BHKtcw9rq6VIZl+Kpi 6atiPCZGO2pWYm5qc5md7GPSV7jqa2BbAJ2v7XZjx44/J2gj/N/lrX8iXj+1 xk4RrxBrHHnmpJY6q/V3NarOhWXWk9VK1xKn6+vboudyUtGx2ObixX6o6Ffa Uyy6jvQp/Qj5qrV9cTV6GzEAd1f0K31LW2M8UibjkVS55ozXqNuVqKnGSyIU bBR6lm0jVYQuZC6zjzX2VX1IPfvXJ0o7qn05EKeljZOAsFisPVUTJx3oLSe1 VNDRKVHDSemmU0K1SgUfHVV9nYNq7qCKtD2LVZNbJg+qa78dOCYYoo4eDqf1 JcH6NGyrPmKraqvgXJZFBioLtQ/HEJCocaVfYjUCiKbClp2TaxHIfA9yZe+k evQ8LcJtlvdKrkMfMuedTPuy7C6md6c2CGZiAPP3Uu47Tda+P1Xo+QGi6EOU gak1RM9aPCwicEXsfJwoKulTaReVXfEp5ocQTZ8924Ch6fUCoAo/n2N+GMuf o85zRNVnWTaMZS+ka+Bm2ChfzKjHcLaR9CWmZEgzMxIsYwSZbnimpiapbP+D 3Ygam5gJgY1UU62zRBrt6mov6XXMk6NfEKB9Uf3LkDBOwowvZDQq86jkpaF0 MDz7kmo8LENRs2po8tcAOkMftVLXRisg/WKGNrSXMvThZWlDHJmpkbFByjwg BdMKsEdKaE4hYgcF11JPPV5p+W9RZa+QjEXf6OvlDA6H2Gx6QYH2K1mXlIoY fl8lVI8iv79y/iJG5TaSmKWsgdR8UZGzYSB++Vyj0pHdSdfG8Iepi1eHv/OC Sjr4TB2e4D3zCO+TvyVW4X6RuCrcc7JCUXTvo2XoebgM3SiBMeXwlfh5B7WF n0KWLqRhoUdHUqIDaVHIudOeYpiYdyRBSlmnvVqdVVISj1UnaEuUIlGNgCUW n248FWIWonXbr/Uv+5FyiQEhwehdogqoU6gIW+ZMSZnoWFlPMSv8dlKuaSSE hIoEGFUoavIUYENIc1XOLZWXeslLaBGZRCzbEh5QQne4/7ANXadFwJ/wK/bX ju6HBuzOw8wzrViSCSzObMd8phNPXVX1rhu0RYeWDaeV6xrP6TnwFFdAUy6o BXCes0oVqPj+QECbWwn/BbXK66X/Ij4tF1fitmUX8dT6dnj/UQSfdRcwMrQN /1jfBi/CpGPoKWUf9VBucJI5tip0+82GJ9e2IzDkLJzWJcBnTRL6rinB0DWt eIkQPHyDTdl0n/4dyqFpr/FA1wntcBvbSvDlZZ2WDZeVSXCfnQ3L10V8Y+dp ncS39F9zFAS7h+XguW1teGMXMOEkMHR3hYI4l8VJyq+LxzjC+IpkuAUlwBIc r1zMCPDK5FmBXp/wZAzccw5vn2jAzLNXsTK/HRvLbNhe3Y791VC22hUFdfj+ bCUOVLfhg7h8dCfYOxNe3dYnKKe05k/2odPY3cr05zphG5xGzIHp9jfQNzQF XbZXwTUoBa5/JMJrYxE8NxQq567OBFUFrJsvKMexblvPw32TBrKSCuC6bclW kGtlnWXLOWWadd6qga6krlsknwWXTZkqzKNLWAbcNqRqNmpZILooEs7/WYpO L07GG4T/T+OrYCXcOk+NhNv0Q/CYeghuEw+okHUeE47A8m0sOn93BP3nZsPz myI4fVwKxzElcP60Ai5jy+D0aSmcxhTBNKYMzl9Uof+8q+j34xU4fc6P2tgi dPqCH7WvS9BrOq/5snY8tBDoNbUVPaYAgZN4XScCXSa1wm9iC+H6CtznVsB3 VTa6rMrFsPAW/CMSuHMiAfgJUs/LhO9l+9EjIgU9F96A/08t6LssDR/va8Gw 1W24bUo7Bv8MPLSlFn2PE34XteHOWS3wW50Cz1UCzUkYFtOKR89exICyPDxM CHk8HxiY3I738wDevvj6KDAqGvjy+E1MSgSmpl/HtNRmTMu4ic/4zf5+TC0+ 2mfDl9R7mIB7d/h1vH2gHd8TiOcmA4vOA5G1QBTvkfWFrZiedBP3rbqGTr9c hevyDI7jKAIXZeLuFVWEblLkR5GwzN5F2QPLj3vg/BPP/bwjsM6PNZmmwe2X I/BYeBzO83mJfpX0JMtOwIls7PJDkpqj7/lVA3ymtKLzkhsIWFyk3ASJZdVJ ufnZAevU7XD6LgIu4xPUre/xFeWb48pNkNcvuei6uR3+88pYx1tlfAG8vqrR HNSOJfR+FQ7XcZRvt8L5m82wfLMNLtP2w3feKQQsKyDs1qtoLb22tqH3tnZ0 C2tD4Iab8PtJfq+4AOcPL8NnES/pGj6ufi+G71I+HRddgBcB1/vX8/D+JUtN LHabnQDPqYTTb3n7jY2Ez3cn4Pd7CbyXZMD9gy3wen8LPN/bSIBNguUNvqz9 s4bQy7G8VwDz23wteaIabq8fgN+nm+HxSTAfEaHwmrcePgvC4b9qM/zDN8Dj s11wH3gGgSOj8eD4rRj6/V68tfwIxoYlYUZkhpquGpZdjj0F1ThcfolUex0J JNz4uquIrxHKbbYT7pHKKzhacUXpxZQ1IrbsksqTdnGo/Koi35jiK4qCD5Ve xP7SRmFgQWCVF94lCWN/sTLXOiCqqEGst4UXKY3YW3ARe/Ib7OnuPPkeZs6s sg6IyKvDjgu1IqzYfl4mlm07Vys5SVm2TeYIb83hy9OWbAmPtiW7FpuzapTo eX4jbVKxQcIzqhCWXinClhs1Lk6vwHo+4Cgsk/8WhBKH1+sSSiwOoQTL+tF1 Er9xrUT/WCuRPtYkFvN9JiihCKvjC+2yiud3VVwRgk6y/EShkZKQjwvvrjyW j5VH8pT8cVRLVxzOVYEZtZiM/H8wFysP5IrvV+HkaPFVZPiA1cVRPA2ZBWbJ D4bTIXEAu4LYuzQiS+Huku3E320Zyuy6ju02HMrHzoRS5Qg2iaf1HC9jWX0z Gq/ewLW2NkVVf5ry22FBqMZRimPa7WUKjjX3QhZ0BOQOq0oddTiz96Wx0SAp dtZmAWs4a2Ca3UWQTr56mbbi86YAa6t4iNUmyYoJ0qBct1vE6I2b+LP59QqL lfmVGNtIOhVDa02rUKsNFSTUMpaXEHVLuF3USu4rucF/5S0EQgIuj76qRfjX pkRYmGjLYYqF1hEN7e3KSqussooc1eBkv9d0l0jauBy1o7lFiFa7ndWwRv+v RybjnGtlz9tPnJP+gwKge1TSTokB8tdatWW3Unbl1uxolhHrOZLL+tnQRSkp /VsIrC/ilR6vKYiV/47a4lzYHUKpq2DWTv7/BmVRR/T//GXk/+exyQOOx/m1 fVxzNCPOZZy4bT5RBdOJCpj4VtyJZOhAKDUTkk2EXNNxiejjoEJMOJ3QyiV1 kKAXTifkJzBmFVBKN07iWZX7MPWGmdhrrxIEPlml9ib43Yl5wWvBYDbRsJvg KHVuurFasFraesRpWCyYbFhfPbgtDl3F0iqpmIUl0oUP834KhX3iq00+6Mx+ OieInbIOAVKXUAV/MmYg9buybXdyZ+/EevRifTdyaE/2e1uiSBVuP1WN25Lk idgnqY5n7i6dNe8kpwp39iOj9ieb3sO2A5IbMICM+sDpGtyTXI37yRv3Jss4 HkwWL7MKQNn2YZYPTCFwsr1MYB2UWqese4+QZR8704CnWE4gNePp1AbTYwpd nhQGJaMKmw4lt/6dfKq4NK0Oz1AEcYRJJR2WUsNUdFhG3efStLphwqzsaxh1 nte59fm0esW0SjetTqVD1bamL6m0feGMpiNtxDAp7PucXi/6zyo2blDwKcws dTIuGV9HXdHTsEzxM+9S5nj3qHET2dQ40nno3BE/pc9pmxp2U+UFhdysZgUZ WRXrI5LWUv28Tul/F5Qm85qFdPkIU6ROnefTtFEO09lXYFG2h6cJX6u8SWNw B42PydtkcW5Rk58tYWKF6lq5MLMYnTNEf4RO+xSTWf337Yj2StSvAVKWoXG9 wdb2cqYjCLYCssNVmeJwxddi1868pA2BMjLrsllZpx2N3xhu/dYgIO6KfxG6 /5lRh39xYELWo6jyClsKab+adZnb9ULVZvw7Wyzgr1Pl1XMaYI/iGEZlX1ZW bXK6STOeQ1m7ZVzPZ+h3g9x5vKuG8q4bzJv5qdR6DEqqxmOnqjAwoRr3nSzH HeJg9Ggp7jpSgb5HqtCbgN01phR+Epz+YDH8o4tV8ENnEqnDfoHoQpgjCzSQ 3lUA0x7K7nyY9xSqfKfd3CZgW/aQKHYXwnGP1OWr1Lq3QEG2pNZI0hr7Uc5c 2af/XhImSVcCYsrSWe/IfG2bFOzPfXehnh/1/AjaAUy7RWrb/hNCEDg3EgEk 44BtWQjYfAZdNp3Bg3vy8ENKO5ZktWNG8jV8eaoJC9KB2RlAv4hM+IaRWEnF PiGp8P09F35TK+A3txy+8/kAml9NCq6C9+Iy9arqtbKERJlPyjoPr3ASWngW bgspBUEQd66rVO59HgxuwMj1rXh2fbOKKyFLLWUppQSsd1tRgC6Lr2LQKhv6 BvHVmhR0/8paPLaiGYMWkzbmA4MW2hTpPLeWNLXUhnt/bYbn6gtwn3AVLp+X Kg+kLmtPqf5c/0iC60xSPAlZJmY6fJoLz3m5eHz9TbxFqpp0nP3tLISrOH+d kwbXT3nNvkxU7n+McbmT3n03puGR3bl4N74e09OasSi7HatJObtqgNiLbYi5 ZENk9Q2kMD1Z24KAdYmYwxfHNQXEEraXZZHWlcnKlGeecBTWV0Ng+dcSOLz8 KxzeWAi3mbswIOQAuv90BC6hEtaFWLCpQgteujFbEa8byVhM+IpytzMfzrrN 59W2E1OhXjEZW8OzVV4FxNystXNhmecm1ofnwCNMnPimw3V9Gvd1Fq7BCXBb mwzLjDA4fLwUTuNDYH5vKb47UQIf5RT3JNz/4LVZfkohmNPEGCLRUZg/Pgrn MSmYeawO0060w/3zZjhMvACXebLsmDIvE64LON5FpPVlRJxVOZh5ph2/ZJN4 V+eo9aHS7+1/5GHoyjY8/Bvw6OKbuH3OFXguzEHn+ZUqaGuP2TfRe1YbekwD eky2wesLwGfCDfSe3YRnVwJP72J/k3kOXj3GMUTDc3Yi3Mfx8xlSi6EHLmEo CbXzt+D9X4MnfmsymX7HQwn5uC0qE/2mtuB+iQY0ywbvoCS4LzyID4NbcGdI HqwL9sE/qIl54N7EZgwsacG3hNmlVTYsLLPhB0LzzBwbpmZew+hDxXgynEC+ 5DjuWJqCp0Ov4/1DhPANNgzeSYg+xTbJ1D0CjI+9jq8Pl2F8QiN+5sdsWzGw Ohd4LboVty+5CNNCXjbe9v2DS9D5u51w+CQalmkRas6wy8zdsMzaC9cfouE8 9wDpN0YLtTI3Fq4/k1TnxcI69xDTo3D98TA8pqbDa3wxXMdehtcPLejy+yW4 fX8YThO2wDJ5C1wmkGYn7ITr+FS4fZ0Fz3Fn4DIuGtbx3N83MfCdxkfPzCJ4 Ty/jKWf9xBy4Ty6Hy5dpcPpiA6xjw5QbI68fjyFgKSk6pBo9Njbjti0gCQOB JOEu/Kh1EQv+Yr7f/FQM9zmF8Jp2Hm6fZcD67kW4T+Hj4ydS+YyT8Jp4iB9V zR+u6392wmvMDnh9EgGfMRHw/ngb/D7S85NOwu+PSpJxFnw+CIcXqdjn/c1w eScDjqPrYH2R72OjQ2F6cw8C1vPjMoGP2keaYXqG+35nH/p8vQWPTdmJlxfs x4ehR/HGxlj4D+Mt/mwm/N86hgVEor3nihGTX4ZDRSThklocKa7B8dI6HC+r pzTiZNklM46V89+R8kb5d5nfYEfJTEeIuLGlVxBb3mRmy8v82lZkTOLlFg6V XLITcQzJ91DRZRws1iczF4vPpehCmfu1v6Ae+4jCIpEF/HZjhsWR+RexN79e yR4xAu8WI/CuC2ItiThfg525tSqNOM/iHedqHbA9p4ZcnM2X2a1ZVQ7Yklkp 9uKMamxOrzKEECwG3/CzFRYBWwesTybRhgrMhij/u8GnipkrZSrTj9clin13 XXwR1sYVisji2ZMFrFlzgmx7nKx7rEDEEauO5vOFUzh2NWVV7AUlQbHcPiQc ew6rDp43eFYFLdGDl5jMWkST1cx2VnZZcXYkToyMVBa4LrMDreboSABXIpuE sOPww3nYk1CCI2nVOK2AthEVF5vQeL0FN9tajdCT7Q5/gRrOdi7903xhDX0d dd9IMKhW2RkVxThJzkUr+9NiTz1KZbtCpI7zXG16sVkPdWJYjw3R4dZbMi4C t/pa1BaJq6mtTRVXSDrm3ip20DwkaSAmSrIftXRW96Oko5vdvdI1jQ8J4oqM bTZj5q7ouyh9scMKLArNGlbfqlZl9RVEZoMS0rAFRTfaUHhdk4IbQP51Gwpa 2sxSwbuhmLBMRZSx5/KWNkXYYieuUvAM0rdNdW9Mbda4VCPOa/rM4lZjcrbV uHodKHiE/HfXTnu7viDZPmPbpBu2bf9zgW9dCjmBzjyB9tOjT9LWOFnG1dDa JlOzhWCVGZvDrVVW4loxCzfIbwR8L+AOGuXnhXYYgO2gM7f0pS841o/NUfjZ OPfalVIXkzuzGAFVMUynX2/0IHf2ICeKBMYznyCsV4c+cbW4nfTb92Qlbk+o RB+W380yYUHJ96LuHbIotw+x0h13EiFlraHIXXzT7Ue1u9i8P/GyH9FxADHy HuKlrEm8J4nN+p+SZqLWL74ad5M076YaS3Efy+7ntkpZNjCJzfgS/cApPnse TKrhx/hv3HwwuYZFVWrFo2wPZCr5B5kXmHyYUKpAkqApk2ofpf5jlEdPV+MR iuQHJWtTSZ8kiD6ZwifdE8kSPGoIiwelVKvqZyhPU/WpZA56cEq9KUCZzqRo CPf2DHH1qdRaPJ5aw7d+Mh7f+rU3/1qVV3pMRVfKVRnbPMPRyW5Eb3Cq/GbA WhLVECK00V7SZ5IFt6XOKkPg/mpUe+FgQ4d98k5gKSGHlKzKlFBH7Usfo9am Gk+f4aEQoHmkRleC0pIfQlQeomj7rCyOlZWlGmnXKoKVVBG3MA5TqnN0rKHu s1pTNUKhYIPEDTJnXtf1stc/oxP2Mx1IW1KD3p+Vs5jZ0JGa2QdzHPqzOtva qZ37V7TMjEJmDYxddKTX4Ti9VsGuwdBSNjRTdWqAtq/qUf0uoDey/z4gRmOW jSA1D+dohnegbEnFOix1L6WLDu+mEULn1DILICsiNvngxbRajEzTLOLC02L7 pbadoaXXFzNrqV2rGNqoU9Zz6VkxNvfFFwLDJm3wssHcomvnZ62dzuDOdr0R t6zxuu1aDMcyL1wM6iMzxeu3wmVisyGKg6k/in28mlmvGPm1bB7p6zn1pnvV 5ptUeS1Ls02/wfzoTC19U0mDqpOmr+kkPpJX5J+8nUYRleW0PM9LPiy5Gs+c rsLT/PQ/zYfIY3ygPMIHy8CTFXj0WDn+RhlwtAz9Y0UqcFcMUXp/KXocKEb3 6CJ0I7L2JEJ3J652Jc52JgL7EZf9d2txTSTSpNeeIi0IaWcVwsZnZx68KeIk qtu4LQictwO+i/mqyNdxv1DSJl/lZqS24bdM4IfU67hjeyaGcZdLs2xYfg54 cFs6fNceQ+c1p0goYlsrNouR15SHrmty4RucjoANZ9FtYyq6bE1DwNZ0dN6e raLY+G0+i8DN6ei3LQdv77RhaMg1BK5PVrsdHt6GF0Ns6L+2CB5rCFBBx+AS RJhceR5dFhJml4PQY8Nji9oU1N7zvQ19pgDdxgNdpjfh9t9q8GRIszIj/yuc usGt6DOvXflClbnYnmvj4BQUp+Z6iwlX5g+7zsmE5YsLym/qA6uBD/YDkxPF PJdN0IrlW382zG+f5Vv4aRWrsjuPa9CuXHxwogYz069hBYE2pBDYUQHE1Lcj 7SoQUXINr2/lgyGsAD0J72lN17GaV94vKBErsy5hDh8mvvMS4PDZfljGE2zH x8DzzdWwPDGR+Y1wWbBXQkjinrhi3LFkPxwDRxLuCGjhRXAOySKMpsMSlqVM vzJHWX4w8CDYOodlK8AVE66C17AceDHvKseyPlelbhuz4LZBA2RLaAbc1rN+ QyY8g9PguP6Mthp2jRab02XKRnR6dR4GbC1DX8LyIwuO43DZFUQVXsKQsHw4 ToqH01dxcJ6cDNcp6TDPIez+QMoYl4EJx67hi2Pt8Pq0kcRFUF4SC89lx5QP X+c/eO5Xp8ASdJrXNwmDdxdgGclwVsZ19eNDl9/PYHlBOx5ebFMrVgMJrV3n FMNp4WE4LzmsfDx5U8dn6XkE/FqKwJ+b0HvuTfSY3g7/yQTbSTb0nQN0p3iN OQef2RFwGhujgl8Gft2CPr81oueyOgT+VgXPn+JxB6mof+Zp+K2Lg8esFNw5 vhX9ZwC3T2nBPQvL8Na2FtzxazlpsB59fwHuC2NddD3uzW3BO7nNeP7gFTwd Aby0oxVPbG/FkN1tGH2kBe+duoJPk27gnfhmfJXShrU8xhVZwPQE4JP4dvwj shk9Z1fCa9ZJ9FiUh7tWNrMceH5fFWbx9eFEA7CctDtqTzN6LWtDrxWNpMtd sHy5C9apElzT+t1W06dwnbYDztNJgDP2wXn2PrjMPsT7OgZOsw/CSnGeGcn7 n+Q7I4o6B5TDJlm27vlNMwIWNMHvl2y4fLMN1nFhpMjdcPvqjPL95T4uFS5f HYDbuHh4fpsF50lZ8PomF50XNaFb+A24frWT5BsH73EF8J1Ri4CFaegZWo1e m6+TZm3oudWGXhtJtaGtCFh9EV5LeN//XA6f7wvVCmCfKdkqgo/nhHgScSK8 Pz8L64d1cPmwCG7vhcLnnRD4jA6B57uhcH9nPTzfCYPvh5vg+9F2eH1IGbMd nsx7f7AVnpPi4Lu8GJ6Ls3nPhsA0KpiyBpZ30+H4ZiPcXqjEPWO34qnpe9A7 KBtdtx/AgB/z0eetq3B6pAXdBpfg6+UFiMwqw9GCCqyMy4PPfSnwHp6F3j8d w+MT4xCRWo6D50oQfa4UMefKcDC3EgfyqxFbVIejJQ0k1ouKWE+UXSXkXhWw NQnuXuHrDFFXEa2SEo1qY0ouSp46zPFLXij3UFEjYnQ5WNyIA0UXzThQILHQ BWqjWBydz+KCRuzPa8C+PH79R+U3OAjb8psyMpeUe75OhN3uUtOcCbuSw85z NSJmRORIUPEd2QTenFpsz6pWeUm3ZVZJKlbgzCrFvmadfYV5N6WXG+Io2GtG WKo4X9yQUo6NqRWSsqX8dxEWFhTGevJv6KkShCSShRO1VN+mbnACv5eIxBLD lFC87kSBXdYez6cUko6PCSMHHc1XABwUc0GE6HwolwexlptrD+ZizYHz9nT1 /hzJs/ug6FwHYWEtxKePsuiKKydjErOA8AoVPiYHoSRqmcAcnVyOOJ6OtMI6 5NdcQXVTC66St2T9pebH1rC02dHJACXN4mp4aboV5vMv7Y/KdquVWf9CT3Wg JkkDtybg4s8TpVVlu8bdiso81BCthiOjjk6NOjheuqnWjSpnSLroECxGXhvx rwWGLyc5aopmodSNw7cm6974kz3THsTGwR7E5k/hbK613qI3NTGYSCRUeFEW 6LLOsBsL5QoME36Rx/TC9VbkXrspqSP/yfEWUCWfVaKmQXGrguFqdke+NqvZ 0c7/NR3aZh+pTORW04tvXS5mu/7FZXD6i7L+8t9Ns8GqnysUUCs8NmaM88Kp s6fZjO0oqzGwTcFvjUJ/mdvtwKNuVUdeoQzgPA+8hNU61xtsrxvIFT7LvO92 w+gsndrXL+umZt5mHb1BX7PZp1o72I3Kt+ZPv6Lzcaf/A6G2yWo=\ \>"], "Graphics", ImageSize->{1500, 122}, ImageMargins->0]], "hidefromslideshowgraphic", CellChangeTimes->{{3.4483017593296423`*^9, 3.448301769562791*^9}, { 3.4487297016867533`*^9, 3.448729710294153*^9}, {3.449486136735977*^9, 3.449486146926845*^9}, {3.449490735677544*^9, 3.4494907482045183`*^9}}, Background->None], Cell["VisualDSolve", "Title", ShowCellBracket->True, CellChangeTimes->{{3.463078105803872*^9, 3.463078117823688*^9}}], Cell["\<\ First of all: many many thanks to Antonin for reviving this project: working \ from a floppy disk in the library in Prague!\ \>", "Text", ShowCellBracket->True, CellChangeTimes->{{3.464267809312516*^9, 3.4642678299124413`*^9}, { 3.4643822828087378`*^9, 3.464382284035804*^9}}], Cell["http://store.wolfram.com/view/book/D0706.str", "Text", CellChangeTimes->{3.465301861955226*^9}], Cell[CellGroupData[{ Cell["Equilibrium Points", "Section", ShowCellBracket->True, CellChangeTimes->{{3.4635667691089582`*^9, 3.4635667743234663`*^9}, { 3.4637529735235567`*^9, 3.463752976865725*^9}}], Cell["This is done by looking at contours....", "Text", ShowCellBracket->True, CellChangeTimes->{{3.463078121206918*^9, 3.463078148710821*^9}, { 3.4630782554398937`*^9, 3.463078262782249*^9}, {3.463566762665009*^9, 3.463566820731922*^9}, 3.463752740262179*^9, 3.463752979185606*^9}], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", RowBox[{"f", ",", "g"}], "]"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", " ", RowBox[{"x", " ", "-", " ", RowBox[{ SuperscriptBox["y", "2"], " ", RowBox[{"Cos", "[", "y", "]"}]}]}]}], ";"}], "\n", RowBox[{ RowBox[{ RowBox[{"g", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", RowBox[{ RowBox[{"-", "y"}], " ", "+", RowBox[{"x", " ", RowBox[{"Sin", "[", "x", "]"}]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"fcnVec", "[", RowBox[{"{", RowBox[{"x_", ",", "y_"}], "}"}], "]"}], ":=", " ", RowBox[{"{", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", RowBox[{"g", "[", RowBox[{"x", ",", "y"}], "]"}]}], "}"}]}], ";"}]}], "Input", ShowCellBracket->True, CellChangeTimes->{{3.407499224866271*^9, 3.407499267832398*^9}, { 3.4160986811358423`*^9, 3.416098683622716*^9}, {3.464280809616275*^9, 3.464280814894738*^9}}], Cell[BoxData[ RowBox[{"Short", "[", RowBox[{ RowBox[{"fZero", "=", RowBox[{"Cases", "[", RowBox[{ RowBox[{"Normal", "[", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], "\[Equal]", "0"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}]}], "]"}], "]"}], ",", RowBox[{ RowBox[{"Line", "[", "z_", "]"}], "\[RuleDelayed]", "z"}], ",", "\[Infinity]"}], "]"}]}], ",", "15"}], "]"}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.390579094476388*^9, 3.390579254016624*^9}, { 3.390579308951379*^9, 3.390579329591094*^9}, 3.390579435741246*^9, { 3.407498834831547*^9, 3.407498840758922*^9}, {3.463752983455851*^9, 3.463753001030725*^9}}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"Graphics", "[", RowBox[{"Point", "/@", "fZero"}], "]"}], ",", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{ RowBox[{"g", "[", RowBox[{"x", ",", "y"}], "]"}], "\[Equal]", "0"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", RowBox[{"ContourStyle", "\[Rule]", RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}]}]}], "]"}], ",", RowBox[{"Frame", "\[Rule]", "True"}], ",", " ", RowBox[{"FrameTicksStyle", "\[Rule]", "16"}]}], "]"}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.3905794404515743`*^9, 3.3905794666805763`*^9}, { 3.407498410397122*^9, 3.407498433253077*^9}, {3.407498477591975*^9, 3.4074984862372637`*^9}, {3.407498630295833*^9, 3.4074986820946493`*^9}, 3.4074988502265577`*^9, {3.4637527960711203`*^9, 3.46375280223976*^9}, { 3.465208780410041*^9, 3.465208784133675*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"(", RowBox[{"signs", "=", RowBox[{"Sign", "[", RowBox[{"Apply", "[", RowBox[{"g", ",", RowBox[{ "fZero", "\[LeftDoubleBracket]", "3", "\[RightDoubleBracket]"}], ",", RowBox[{"{", "1", "}"}]}], "]"}], "]"}]}], ")"}], "//", "Short"}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.4074987303279552`*^9, 3.4074987444855213`*^9}, 3.407498854303049*^9, {3.407500094208283*^9, 3.407500104997713*^9}, { 3.4075001554302464`*^9, 3.407500155885543*^9}, {3.4077843744712152`*^9, 3.4077843769894876`*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"(", RowBox[{"changes", "=", RowBox[{"Rest", "[", RowBox[{"signs", " ", RowBox[{"RotateRight", "[", "signs", "]"}]}], "]"}]}], ")"}], "//", "Short"}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.407498792175509*^9, 3.407498810493314*^9}, { 3.407784383013257*^9, 3.407784385139078*^9}}], Cell["Next find the positions of the sign changes.", "Text", ShowCellBracket->True, CellChangeTimes->{{3.407765090245596*^9, 3.407765095969337*^9}}], Cell[BoxData[ RowBox[{"posns", "=", RowBox[{"Flatten", "[", RowBox[{"Position", "[", RowBox[{"changes", ",", RowBox[{"-", "1"}]}], "]"}], "]"}]}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.407498814509131*^9, 3.407498815221003*^9}, { 3.407765100787236*^9, 3.40776510345859*^9}}], Cell["Find the corresponding points.", "Text", ShowCellBracket->True, CellChangeTimes->{{3.40776510630425*^9, 3.407765109889388*^9}}], Cell[BoxData[ RowBox[{"seeds", "=", RowBox[{"fZero", "\[LeftDoubleBracket]", RowBox[{"3", ",", RowBox[{"Flatten", "[", "posns", "]"}]}], "\[RightDoubleBracket]"}]}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.407498829722945*^9, 3.407498830512526*^9}, { 3.407498873421381*^9, 3.40749890560537*^9}, {3.407500165476398*^9, 3.407500165797516*^9}}], Cell[TextData[{ "Refine the points using Newton's method via ", Cell[BoxData["FindRoot"]], ". " }], "Text", ShowCellBracket->True, CellChangeTimes->{{3.407765114089348*^9, 3.4077651306399*^9}}], Cell[BoxData[ RowBox[{"roots", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"v", "/.", "\[InvisibleSpace]", RowBox[{"FindRoot", "[", RowBox[{ RowBox[{"fcnVec", "[", "v", "]"}], ",", RowBox[{"{", RowBox[{"v", ",", "s"}], "}"}]}], "]"}]}], ",", RowBox[{"{", RowBox[{"s", ",", "seeds"}], "}"}]}], "]"}]}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.407498928600265*^9, 3.40749897156671*^9}, { 3.407499063122656*^9, 3.4074990849265203`*^9}, {3.4074992919591503`*^9, 3.4074993043418283`*^9}, {3.4074993392303343`*^9, 3.407499339813883*^9}, 3.407499760375595*^9}], Cell["Check visually that all is correct.", "Text", ShowCellBracket->True, CellChangeTimes->{{3.4075001776515913`*^9, 3.4075001850040503`*^9}, { 3.4077651466257143`*^9, 3.407765152705255*^9}}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{"g", "[", RowBox[{"x", ",", "y"}], "]"}], "\[Equal]", "0"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "10"}], ",", "10"}], "}"}], ",", " ", RowBox[{"ContourStyle", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}], ",", RowBox[{"{", RowBox[{"Thick", ",", "Black"}], "}"}]}], "}"}]}]}], "]"}], ",", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{ RowBox[{"Thickness", "[", "0.005", "]"}], ",", "Blue", ",", RowBox[{"Table", "[", RowBox[{ RowBox[{"Circle", "[", RowBox[{"r", ",", " ", "0.3"}], "]"}], ",", " ", RowBox[{"{", RowBox[{"r", ",", " ", "roots"}], "}"}]}], "]"}]}], "}"}], "]"}], ",", " ", RowBox[{"Frame", "\[Rule]", "True"}], ",", " ", RowBox[{"FrameTicksStyle", "\[Rule]", "16"}]}], "]"}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.3905794404515743`*^9, 3.3905794666805763`*^9}, { 3.407498410397122*^9, 3.407498433253077*^9}, {3.407498477591975*^9, 3.4074984862372637`*^9}, {3.407498630295833*^9, 3.4074986820946493`*^9}, 3.4074988502265577`*^9, {3.4074993357056313`*^9, 3.407499428648231*^9}, { 3.4075001143213167`*^9, 3.407500127184374*^9}, {3.46520881530826*^9, 3.465208824687889*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{"Clear", "[", RowBox[{"f", ",", "g", ",", "x", ",", "y"}], "]"}], ";"}], "\n", RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", RowBox[{ RowBox[{"-", RowBox[{"Cos", "[", "y", "]"}]}], "+", RowBox[{"2", "y", " ", RowBox[{"Cos", "[", SuperscriptBox["y", "2"], "]"}], RowBox[{"Cos", "[", RowBox[{"2", "x"}], "]"}]}]}]}], ";"}], "\n", RowBox[{ RowBox[{ RowBox[{"g", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", RowBox[{ RowBox[{"-", RowBox[{"Sin", "[", "x", "]"}]}], "+", RowBox[{"2", RowBox[{"Sin", "[", SuperscriptBox["y", "2"], "]"}], RowBox[{"Sin", "[", RowBox[{"2", "x"}], "]"}]}]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"roots", "=", RowBox[{"FindRoots2D", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", RowBox[{"g", "[", RowBox[{"x", ",", "y"}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"x", ",", " ", RowBox[{"-", "3.5"}], ",", " ", "4"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"y", ",", " ", RowBox[{"-", "1.8"}], ",", " ", "4.2"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Length", "[", "roots", "]"}]}], "Input", ShowCellBracket->True, CellChangeTimes->{{3.383599886325625*^9, 3.383599920477662*^9}, { 3.407499594434381*^9, 3.407499639423749*^9}, {3.407500037203602*^9, 3.407500039312941*^9}, {3.40750023548536*^9, 3.407500245579341*^9}, 3.416099236985952*^9, {3.464280834261085*^9, 3.464280834795876*^9}}], Cell[BoxData[ RowBox[{"Show", "[", RowBox[{ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], "\[Equal]", "0"}], ",", RowBox[{ RowBox[{"g", "[", RowBox[{"x", ",", "y"}], "]"}], "\[Equal]", "0"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "3.5"}], ",", "4"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "1.8"}], ",", "4.2"}], "}"}], ",", RowBox[{"ContourStyle", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}], ",", RowBox[{"{", RowBox[{"Thick", ",", "Blue"}], "}"}]}], "}"}]}]}], "]"}], ",", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{ RowBox[{"EdgeForm", "[", RowBox[{"Thickness", "[", "0.003", "]"}], "]"}], ",", "Yellow", ",", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"Disk", "[", RowBox[{"#1", ",", "0.07"}], "]"}], "&"}], ")"}], "/@", "roots"}]}], "}"}], "]"}], ",", RowBox[{"AspectRatio", "\[Rule]", "Automatic"}], ",", " ", RowBox[{"FrameTicksStyle", "\[Rule]", "16"}]}], "]"}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.383599957109432*^9, 3.383600019361515*^9}, { 3.390579650340782*^9, 3.390579780046523*^9}, {3.390579897407102*^9, 3.390579917190748*^9}, {3.40750022237117*^9, 3.4075002264819183`*^9}, 3.407500421131316*^9, {3.41609873551551*^9, 3.4160987434113092`*^9}, 3.4160987764094763`*^9, {3.465208836642344*^9, 3.465208846056245*^9}}], Cell[CellGroupData[{ Cell[TextData[{ "A Comprehensive ", Cell[BoxData["FindRoots2D"]], " Function" }], "Subsubsection", ShowCellBracket->True, CellChangeTimes->{{3.383673208090438*^9, 3.38367320860131*^9}, { 3.407500364432437*^9, 3.4075003683080797`*^9}, {3.465208859180662*^9, 3.465208870780922*^9}}], Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"FindRoots2D", "::", "usage"}], "=", "\n", "\"\\""}], ";"}], "\[IndentingNewLine]"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"Options", "[", "FindRoots2D", "]"}], "=", RowBox[{"{", RowBox[{ RowBox[{"PlotPoints", "\[Rule]", "Automatic"}], ",", " ", RowBox[{"MaxRecursion", "\[Rule]", "Automatic"}]}], "}"}]}], ";"}], "\n"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"FindRoots2D", "[", RowBox[{"funcs_", ",", RowBox[{"{", RowBox[{"x_", ",", "a_", ",", "b_"}], "}"}], ",", RowBox[{"{", RowBox[{"y_", ",", "c_", ",", "d_"}], "}"}], ",", "opts___"}], "]"}], ":=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{"fZero", ",", "seeds", ",", "signs", ",", "fy"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"fy", "=", RowBox[{"Compile", "[", RowBox[{ RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}], ",", RowBox[{"Evaluate", "[", RowBox[{ "funcs", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "]"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"fZero", "=", RowBox[{"Cases", "[", RowBox[{ RowBox[{"Normal", "[", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{ RowBox[{ "funcs", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "==", "0"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"a", "-", FractionBox[ RowBox[{"b", "-", "a"}], "97"]}], ",", RowBox[{"b", "+", FractionBox[ RowBox[{"b", "-", "a"}], "103"]}]}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"c", "-", FractionBox[ RowBox[{"d", "-", "c"}], "98"]}], ",", RowBox[{"d", "+", FractionBox[ RowBox[{"d", "-", "c"}], "102"]}]}], "}"}], ",", RowBox[{"Evaluate", "[", RowBox[{"FilterRules", "[", RowBox[{ RowBox[{"{", "opts", "}"}], ",", " ", RowBox[{"Options", "[", "ContourPlot", "]"}]}], "]"}], "]"}]}], "]"}], "]"}], ",", " ", RowBox[{ RowBox[{"Line", "[", "z_", "]"}], " ", "\[RuleDelayed]", " ", "z"}], ",", "\[Infinity]"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"seeds", "=", RowBox[{"Flatten", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"signs", "=", "\[IndentingNewLine]", RowBox[{"Sign", "[", RowBox[{"Apply", "[", RowBox[{"fy", ",", "#", ",", RowBox[{"{", "1", "}"}]}], "]"}], "]"}]}], ";", RowBox[{"#1", "\[LeftDoubleBracket]", RowBox[{"1", "+", RowBox[{"Flatten", "[", RowBox[{"Position", "[", RowBox[{ RowBox[{"Rest", "[", RowBox[{"signs", " ", "*", " ", RowBox[{"RotateRight", "[", "signs", "]"}]}], "]"}], ",", RowBox[{"-", "1"}]}], "]"}], "]"}]}], "\[RightDoubleBracket]"}]}], ")"}], "&"}], "/@", "fZero"}], ",", "1"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"seeds", "\[Equal]", RowBox[{"{", "}"}]}], ",", RowBox[{"{", "}"}], ",", RowBox[{"Select", "[", RowBox[{ RowBox[{"Union", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}], "/.", "\[InvisibleSpace]", RowBox[{"FindRoot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ "funcs", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], ",", RowBox[{ "funcs", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{ "#", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{ "#", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], "}"}], ",", RowBox[{"Evaluate", "[", RowBox[{"FilterRules", "[", RowBox[{ RowBox[{"{", "opts", "}"}], ",", " ", RowBox[{"Options", "[", "FindRoot", "]"}]}], "]"}], "]"}]}], "]"}]}], "&"}], ")"}], "/@", "seeds"}], ",", " ", RowBox[{"SameTest", " ", "\[Rule]", " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Norm", "[", RowBox[{"#1", "-", "#2"}], "]"}], "<", RowBox[{"10", "^", RowBox[{"-", "6"}]}]}], "&"}], ")"}]}]}], "]"}], ",", RowBox[{ RowBox[{ RowBox[{"a", "\[LessEqual]", RowBox[{ "#", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "\[LessEqual]", "b"}], "&&", RowBox[{"c", "\[LessEqual]", RowBox[{ "#", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "\[LessEqual]", "d"}]}], "&"}]}], "]"}]}], "]"}]}]}], "]"}]}]}], "Input", ShowCellBracket->True, InitializationCell->True, CellChangeTimes->{{3.3835978070334377`*^9, 3.38359796033753*^9}, { 3.383598004312488*^9, 3.383598054154085*^9}, {3.383598088620845*^9, 3.3835981337715263`*^9}, {3.383598190084402*^9, 3.3835982470155582`*^9}, { 3.383598278918124*^9, 3.3835983316626167`*^9}, {3.383598457403907*^9, 3.383598464949183*^9}, {3.383641287993866*^9, 3.383641289564481*^9}, { 3.3836424344938793`*^9, 3.3836424403143063`*^9}, 3.3836425016810913`*^9, { 3.383643026365786*^9, 3.383643027464369*^9}, {3.383644014778185*^9, 3.383644141118396*^9}, {3.383644211945017*^9, 3.383644217239406*^9}, { 3.3836442605022917`*^9, 3.3836443021001062`*^9}, {3.383672766894622*^9, 3.383672782384809*^9}, {3.383673137043069*^9, 3.383673178910301*^9}, { 3.4074994828753366`*^9, 3.4074994958949738`*^9}, {3.407499537565428*^9, 3.407499579218647*^9}, {3.4074996846064243`*^9, 3.407499696538321*^9}, { 3.4074997780055227`*^9, 3.4074998750985727`*^9}, {3.40749990574468*^9, 3.4074999492007732`*^9}, {3.407499979325508*^9, 3.407500026042564*^9}, { 3.416098571280397*^9, 3.416098576768517*^9}, {3.416098854113152*^9, 3.41609885417914*^9}, {3.4160989926721773`*^9, 3.416099011827228*^9}, { 3.4160990735486603`*^9, 3.4160991027890797`*^9}, {3.420716740405506*^9, 3.420716762038816*^9}}] }, Closed]], Cell[TextData[{ "\nIt would be nice if ", StyleBox["Mathematica", FontSlant->"Italic"], " had a FindAllRoots function that was a little more general than they have \ now. The contour method is certainly robust in 2-dim, and 1-dim is not really \ a problem." }], "Text", ShowCellBracket->True, CellChangeTimes->{{3.463078121206918*^9, 3.463078148710821*^9}, { 3.4630782554398937`*^9, 3.463078262782249*^9}, {3.463566762665009*^9, 3.463566820731922*^9}, 3.463752740262179*^9}] }, Closed]], Cell[CellGroupData[{ Cell["Applications", "Section", ShowCellBracket->True, CellChangeTimes->{{3.463566901540052*^9, 3.463566904779422*^9}}], Cell[CellGroupData[{ Cell["Flipping a book", "Subsection", ShowCellBracket->True, CellChangeTimes->{{3.463078121206918*^9, 3.463078148710821*^9}, { 3.4630782554398937`*^9, 3.463078262782249*^9}, 3.463566762665009*^9, { 3.463566822764751*^9, 3.463566907963891*^9}, {3.4638468577155046`*^9, 3.4638468598968*^9}}], Cell[BoxData[ Graphics3DBox[{{{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-53.94279999999999, -1.25, -4.3}, {-53.94279999999999, \ -1.4553299778881112`*^-22, -0.2999999999999998}, {-53.94279999999999, 1.25, -4.3}}], Line3DBox[{{-53.94279999999999, 1.6, -4.3}, {-53.94279999999999, 0.9, -4.3}}], Line3DBox[{{-53.94279999999999, -0.9, -4.3}, {-53.94279999999999, \ -1.6, -4.3}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-53.94279999999999, 2.5, 1.7000000000000002`}, {-53.94279999999999, 2.5, -6.3}, {-53.94279999999999, -2.7, -6.3}, {-53.94279999999999, \ -2.7, 1.7000000000000002`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-53.94279999999999, 2.5, 1.7000000000000002`}, {-53.94279999999999, 2.5, -6.3}, {-54.94279999999999, 2.5, -6.3}, {-54.94279999999999, 2.5, 1.7000000000000002`}}]}, {GrayLevel[1], Polygon3DBox[{{-53.94279999999999, -2.5, 1.7000000000000002`}, {-53.94279999999999, -2.5, -6.3}, \ {-54.94279999999999, -2.5, -6.3}, {-54.94279999999999, -2.5, 1.7000000000000002`}}], Polygon3DBox[{{-53.94279999999999, 2.5, 1.7000000000000002`}, {-53.94279999999999, -2.5, 1.7000000000000002`}, {-54.94279999999999, -2.5, 1.7000000000000002`}, {-54.94279999999999, 2.5, 1.7000000000000002`}}], Polygon3DBox[{{-53.94279999999999, -2.5, -6.3}, {-53.94279999999999, 2.5, -6.3}, {-54.94279999999999, 2.5, -6.3}, {-54.94279999999999, -2.5, -6.3}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-54.94279999999999, 2.5, 1.7000000000000002`}, {-54.94279999999999, 2.5, -6.3}, {-54.94279999999999, -2.7, -6.3}, {-54.94279999999999, \ -2.7, 1.7000000000000002`}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-54.19279999999999, 2.5, -5.3}, {-54.44279999999999, 2.5, -3.9}, {-54.69279999999999, 2.5, -5.3}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-45.20209163415295, -1.2705193788889049`, \ -6.357064704650465}, {-46.39767519446709, -0.010138587165505275`, \ -2.543336960643134}, {-45.12559947665208, 1.2282482797381231`, -6.339482418318767}}], Line3DBox[{{-45.11489057460195, 1.5780757519459072`, -6.337020898232328}, {-45.136308378702196`, 0.8784208075303392, -6.341943938405204}}], Line3DBox[{{-45.19138273210283, -0.920691906681121, \ -6.354603184564027}, {-45.212800536203076`, -1.620346851096689, \ -6.359526224736903}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-46.938097856498494`, 2.4941275526664657`, -0.6232863738906946}, {-44.47043857836935, 2.4721336278466945`, -8.233159575573659}, {-44.629542265971175`, \ -2.725303102097524, -8.269730731143591}, {-47.09720154410032, \ -2.703309177277753, -0.6598575294606279}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-46.938097856498494`, 2.4941275526664657`, -0.6232863738906946}, {-44.47043857836935, 2.4721336278466945`, -8.233159575573659}, {-45.42118449516639, 2.5034077645875903`, -8.541549053445907}, {-47.88884377329554, 2.5254016894073614`, -0.9316758517629444}}]}, {GrayLevel[1], Polygon3DBox[{{-47.091082171500254`, -2.5034077645875903`, \ -0.6584509465540918}, {-44.62342289337111, -2.5254016894073614`, \ -8.268324148237054}, {-45.57416881016815, -2.4941275526664657`, \ -8.576713626109305}, {-48.0418280882973, -2.4721336278466945`, \ -0.9668404244263415}}], Polygon3DBox[{{-46.938097856498494`, 2.4941275526664657`, -0.6232863738906946}, {-47.091082171500254`, \ -2.5034077645875903`, -0.6584509465540918}, {-48.0418280882973, \ -2.4721336278466945`, -0.9668404244263415}, {-47.88884377329554, 2.5254016894073614`, -0.9316758517629444}}], Polygon3DBox[{{-44.62342289337111, -2.5254016894073614`, \ -8.268324148237054}, {-44.47043857836935, 2.4721336278466945`, -8.233159575573659}, {-45.42118449516639, 2.5034077645875903`, -8.541549053445907}, {-45.57416881016815, \ -2.4941275526664657`, -8.576713626109305}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-47.88884377329554, 2.5254016894073614`, -0.9316758517629444}, {-45.42118449516639, 2.5034077645875903`, -8.541549053445907}, {-45.58028818276822, \ -2.6940289653566283`, -8.57812020901584}, {-48.04794746089737, \ -2.672035040536857, -0.9682470073328773}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-45.01658246733476, 2.48270140263439, -7.3590227948313505`}, {-45.68610932020662, 2.4943688736630736`, -6.104392354004894}, {-45.49195542573327, 2.4983384710048377`, -7.513217533767475}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-37.22962477089792, -1.300216362354128, \ -8.26101738524716}, {-39.50555429538646, -0.009362761037324457, \ -4.987435596499853}, {-37.088111734128255`, 1.1948173219842901`, -8.191872733115193}}], Line3DBox[{{-37.0682999089805, 1.544122037791669, -8.182192481816717}, {-37.10792355927601, 0.8455126061769117, -8.201552984413668}}], Line3DBox[{{-37.209812945750166`, -0.9509116465467494, \ -8.251337133948685}, {-37.249436596045676`, -1.6495210781615068`, \ -8.270697636545634}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-40.53738428005348, 2.5073393028748914`, -3.298786213027224}, {-35.844012194306735`, 2.420665784579702, -9.776805138389872}, {-36.13835931078764, \ -2.769004278844208, -9.920626014824363}, {-40.83173139653439, \ -2.6823307605490188`, -3.4426070894617156`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-40.53738428005348, 2.5073393028748914`, -3.298786213027224}, {-35.844012194306735`, 2.420665784579702, -9.776805138389872}, {-36.65185631307384, 2.482728065801945, -10.362924482708841`}, {-41.34522839882059, 2.5694015840971343`, -3.8849055573461944`}}]}, {GrayLevel[1], Polygon3DBox[{{-40.82041035359281, -2.482728065801945, \ -3.437075517291158}, {-36.12703826784607, -2.5694015840971343`, \ -9.915094442653805}, {-36.934882386613175`, -2.5073393028748914`, \ -10.501213786972775`}, {-41.62825447235992, -2.420665784579702, \ -4.023194861610128}}], Polygon3DBox[{{-40.53738428005348, 2.5073393028748914`, -3.298786213027224}, {-40.82041035359281, \ -2.482728065801945, -3.437075517291158}, {-41.62825447235992, \ -2.420665784579702, -4.023194861610128}, {-41.34522839882059, 2.5694015840971343`, -3.8849055573461944`}}], Polygon3DBox[{{-36.12703826784607, -2.5694015840971343`, \ -9.915094442653805}, {-35.844012194306735`, 2.420665784579702, -9.776805138389872}, {-36.65185631307384, 2.482728065801945, -10.362924482708841`}, {-36.934882386613175`, \ -2.5073393028748914`, -10.501213786972775`}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-41.34522839882059, 2.5694015840971343`, -3.8849055573461944`}, {-36.65185631307384, 2.482728065801945, -10.362924482708841`}, {-36.94620342955475, \ -2.706941997621965, -10.506745359143332`}, {-41.639575515301495`, \ -2.620268479326776, -4.028726433780685}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-36.632644734716855`, 2.4470155446721615`, -9.113582608799282}, {-37.65594587941431, 2.4776989806793805`, -8.126459132940562}, {-37.03656679410041, 2.478046685283283, -9.406642280958767}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-30.067055161243875`, -1.3379242586019824`, \ -10.051779679336803`}, {-33.20488243532276, 0.0015613148205787242`, -7.618198874252855}, {-29.883532723369044`, 1.1507578637282976`, -9.900846511959477}}], Line3DBox[{{-29.857839582066568`, 1.4991733608545368`, -9.87971586852665}, {-29.90922586467152, 0.8023423666020584, -9.921977155392302}}], Line3DBox[{{-30.0413620199414, -0.9895087614757432, \ -10.030649035903979`}, {-30.09274830254635, -1.6863397557282216`, \ -10.07291032276963}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-34.63615424395607, 2.5378156932795695`, -6.288208596177885}, {-28.176977257923483`, 2.347526668764727, -11.004437038968456`}, {-28.558703928703128`, \ -2.8289321456822556`, -11.318378027113296`}, {-35.01788091473572, \ -2.638643121167413, -6.602149584322726}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-34.63615424395607, 2.5378156932795695`, -6.288208596177885}, {-28.176977257923483`, 2.347526668764727, -11.004437038968456`}, {-28.762400880294248`, 2.4395485513809905`, -11.809925069067459`}, {-35.22157786632684, 2.629837575895833, -7.093696626276889}}]}, {GrayLevel[1], Polygon3DBox[{{-35.003199119705734`, -2.4395485513809905`, \ -6.5900749309325395`}, {-28.544022133673142`, -2.629837575895833, \ -11.306303373723111`}, {-29.12944575604391, -2.5378156932795695`, \ -12.111791403822114`}, {-35.5886227420765, -2.347526668764727, \ -7.395562961031542}}], Polygon3DBox[{{-34.63615424395607, 2.5378156932795695`, -6.288208596177885}, {-35.003199119705734`, \ -2.4395485513809905`, -6.5900749309325395`}, {-35.5886227420765, \ -2.347526668764727, -7.395562961031542}, {-35.22157786632684, 2.629837575895833, -7.093696626276889}}], Polygon3DBox[{{-28.544022133673142`, -2.629837575895833, \ -11.306303373723111`}, {-28.176977257923483`, 2.347526668764727, -11.004437038968456`}, {-28.762400880294248`, 2.4395485513809905`, -11.809925069067459`}, {-29.12944575604391, \ -2.5378156932795695`, -12.111791403822114`}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-35.22157786632684, 2.629837575895833, -7.093696626276889}, {-28.762400880294248`, 2.4395485513809905`, -11.809925069067459`}, {-29.144127551073897`, \ -2.736910263065992, -12.1238660572123}, {-35.60330453710649, \ -2.5466212385511495`, -7.407637614421729}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-29.13073028677025, 2.3943182674831482`, -10.616280491144385`}, {-30.407442164918642`, 2.4506243174273115`, -9.992312521180786}, {-29.423442097955633`, 2.44032920879128, -11.019024506193887`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-23.74069636430412, -1.382066936460056, \ -11.78045012290816}, {-27.441543267864517`, 0.021231711486309375`, -10.403146336103685`}, {-23.549614646702445`, 1.097432113168148, -11.524379001023359`}}], Line3DBox[{{-23.52286320623821, 1.4445619801160965`, -11.488529043959486`}, {-23.57636608716668, 0.7503022462201994, -11.56022895808723}}], Line3DBox[{{-23.713944923839886`, -1.0349370695121074`, \ -11.744600165844288`}, {-23.767447804768356`, -1.7291968034080045`, \ -11.816300079972033`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-29.14865543144346, 2.5825053226806447`, -9.522441101287844}, {-21.55587990672099, 2.2554070764161183`, -12.020977553011996`}, {-21.953329879332472`, \ -2.9019509468105458`, -12.553605486532382`}, {-29.546105404054945`, \ -2.5748527005460193`, -10.055069034808232`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-29.14865543144346, 2.5825053226806447`, -9.522441101287844}, {-21.55587990672099, 2.2554070764161183`, -12.020977553011996`}, {-21.861447800019846`, 2.376492776575763, -12.965416654942551`}, {-29.45422332474232, 2.7035910228402895`, -10.466880203218402`}}]}, {GrayLevel[1], Polygon3DBox[{{-29.53081886664681, -2.376492776575763, \ -10.034583345057449`}, {-21.938043341924338`, -2.7035910228402895`, \ -12.533119796781598`}, {-22.2436112352232, -2.5825053226806447`, \ -13.477558898712156`}, {-29.83638675994567, -2.2554070764161183`, \ -10.979022446988004`}}], Polygon3DBox[{{-29.14865543144346, 2.5825053226806447`, -9.522441101287844}, {-29.53081886664681, \ -2.376492776575763, -10.034583345057449`}, {-29.83638675994567, \ -2.2554070764161183`, -10.979022446988004`}, {-29.45422332474232, 2.7035910228402895`, -10.466880203218402`}}], Polygon3DBox[{{-21.938043341924338`, -2.7035910228402895`, \ -12.533119796781598`}, {-21.55587990672099, 2.2554070764161183`, -12.020977553011996`}, {-21.861447800019846`, 2.376492776575763, -12.965416654942551`}, {-22.2436112352232, \ -2.5825053226806447`, -13.477558898712156`}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-29.45422332474232, 2.7035910228402895`, -10.466880203218402`}, {-21.861447800019846`, 2.376492776575763, -12.965416654942551`}, {-22.258897772631332`, \ -2.780865246650901, -13.498044588462939`}, {-29.851673297353802`, \ -2.4537670003863745`, -10.99950813673879}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-22.581368820636012`, 2.3265657822390953`, -11.944770272029116`}, {-23.98649651078716, 2.4140794003752983`, -11.743636168460029`}, {-22.73415276728544, 2.3871086323189177`, -12.416989822994394`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-18.25852620756801, -1.4308684626071733`, \ -13.503524478146844`}, {-22.17421239395772, 0.04773275061903445, -13.294627853932198`}, {-18.10504531861759, 1.0362600299442901`, -13.129732211538103`}}], Line3DBox[{{-18.083557994164536`, 1.3816580189014949`, -13.07740129421288}, {-18.126532643070654`, 0.6908620409870851, -13.182063128863327`}}], Line3DBox[{{-18.237038883114952`, -1.0854704736499685`, \ -13.45119356082162}, {-18.28001353202107, -1.7762664515643785`, \ -13.555855395472067`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-24.01694482043976, 2.6373797266457357`, -12.909835341868321`}, {-16.032091558709926`, 2.147305792744784, -12.953836323688872`}, {-16.351331807726794`, \ -2.98432147176226, -13.73132423823505}, {-24.336185069456633`, \ -2.494247537861308, -13.6873232564145}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-24.01694482043976, 2.6373797266457357`, -12.909835341868321`}, {-16.032091558709926`, 2.147305792744784, -12.953836323688872`}, {-16.02836006832606, 2.296877258457191, -13.942580124914198`}, {-24.013213330055898`, 2.786951192358143, -13.898579143093647`}}]}, {GrayLevel[1], Polygon3DBox[{{-24.3239065983406, -2.296877258457191, \ -13.6574198750858}, {-16.33905333661076, -2.786951192358143, \ -13.701420856906351`}, {-16.335321846226897`, -2.6373797266457357`, \ -14.690164658131676`}, {-24.320175107956732`, -2.147305792744784, \ -14.646163676311126`}}], Polygon3DBox[{{-24.01694482043976, 2.6373797266457357`, -12.909835341868321`}, {-24.3239065983406, \ -2.296877258457191, -13.6574198750858}, {-24.320175107956732`, \ -2.147305792744784, -14.646163676311126`}, {-24.013213330055898`, 2.786951192358143, -13.898579143093647`}}], Polygon3DBox[{{-16.33905333661076, -2.786951192358143, \ -13.701420856906351`}, {-16.032091558709926`, 2.147305792744784, -12.953836323688872`}, {-16.02836006832606, 2.296877258457191, -13.942580124914198`}, {-16.335321846226897`, \ -2.6373797266457357`, -14.690164658131676`}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-24.013213330055898`, 2.786951192358143, -13.898579143093647`}, {-16.02836006832606, 2.296877258457191, -13.942580124914198`}, {-16.347600317342927`, \ -2.8347500060498527`, -14.720068039460376`}, {-24.332453579072766`, \ -2.344676072148901, -14.676067057639825`}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-17.02926534383019, 2.2459579009105046`, -13.195522151267634`}, {-18.425681792036944`, 2.369113705771273, -13.43500792975537}, {-17.027399598638254`, 2.3207436337667082`, -13.689894051880296`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-13.609316954624159`, -1.4825694510026513`, \ -15.27631384133552}, {-17.378445433687077`, 0.07881831423058408, -16.234551750599557`}, {-13.547328805472961`, 0.9684153324373834, -14.787609918025469`}}], Line3DBox[{{-13.538650464591793`, 1.3115532021189884`, -14.719191368762061`}, {-13.556007146354128`, 0.6252774627557787, -14.856028467288876`}}], Line3DBox[{{-13.600638613742992`, -1.1394315813210463`, \ -15.207895292072113`}, {-13.617995295505327`, -1.8257073206842562`, \ -15.344732390598928`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-19.216518561355134`, 2.6977507844272277`, -16.347142762749037`}, {-11.616273454078105`, 2.025960037400792, -13.941963020910913`}, {-11.745208804312597`, \ -3.0720883121544804`, -14.95846718139582}, {-19.34545391158963, \ -2.4002975651280445`, -17.363646923233944`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-19.216518561355134`, 2.6977507844272277`, -16.347142762749037`}, {-11.616273454078105`, 2.025960037400792, -13.941963020910913`}, {-11.305105140342459`, 2.2042187824528416`, -14.875449390630857`}, {-18.905350247619488`, 2.8760095294792776`, -17.28062913246898}}]}, {GrayLevel[1], Polygon3DBox[{{-19.340494859657532`, -2.2042187824528416`, \ -17.324550609369137`}, {-11.740249752380501`, -2.8760095294792776`, \ -14.919370867531015`}, {-11.429081438644857`, -2.6977507844272277`, \ -15.85285723725096}, {-19.029326545921887`, -2.025960037400792, \ -18.258036979089084`}}], Polygon3DBox[{{-19.216518561355134`, 2.6977507844272277`, -16.347142762749037`}, {-19.340494859657532`, \ -2.2042187824528416`, -17.324550609369137`}, {-19.029326545921887`, \ -2.025960037400792, -18.258036979089084`}, {-18.905350247619488`, 2.8760095294792776`, -17.28062913246898}}], Polygon3DBox[{{-11.740249752380501`, -2.8760095294792776`, \ -14.919370867531015`}, {-11.616273454078105`, 2.025960037400792, -13.941963020910913`}, {-11.305105140342459`, 2.2042187824528416`, -14.875449390630857`}, {-11.429081438644857`, \ -2.6977507844272277`, -15.85285723725096}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-18.905350247619488`, 2.8760095294792776`, -17.28062913246898}, {-11.305105140342459`, 2.2042187824528416`, -14.875449390630857`}, {-11.434040490576953`, \ -2.8938295671024306`, -15.891953551115764`}, {-19.034285597853984`, \ -2.2220388200759946`, -18.297133292953887`}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-12.488512014053821`, 2.1544985670421086`, -14.475982081070665`}, {-13.74076282939339, 2.3166266340347477`, -15.130260128322321`}, {-12.332927857186, 2.2436279395681336`, -14.942725265930637`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-9.76406689421292, -1.535607584612324, \ -17.146268768716308`}, {-13.049137178848639`, 0.11213567516384809`, -19.160158403658723`}, {-9.85225054976927, 0.8944870272357326, -16.56586891290952}}], Line3DBox[{{-9.864596261547158, 1.2347002728944607`, -16.48461293309657}, {-9.83990483799138, 0.5542737815770047, -16.64712489272247}}], Line3DBox[{{-9.776412605990808, -1.1953943389535961`, \ -17.065012788903356`}, {-9.75172118243503, -1.8758208302710522`, \ -17.227524748529255`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-14.757810062833762`, 2.7585782639379763`, -19.73180332927484}, {-8.27585314911867, 1.8931863562336888`, -15.123624203583223`}, {-8.092431145561465, \ -3.161410436410269, -16.330855903661337`}, {-14.574388059276554`, \ -2.2960185287059813`, -20.939035029352954`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-14.757810062833762`, 2.7585782639379763`, -19.73180332927484}, {-8.27585314911867, 1.8931863562336888`, -15.123624203583223`}, {-7.690823914945597, 2.101610959758137, -15.907396959111583`}, {-14.172780828660688`, 2.9670028674624245`, -20.5155760848032}}]}, {GrayLevel[1], Polygon3DBox[{{-14.581442751721063`, -2.101610959758137, \ -20.892603040888414`}, {-8.099485838005972, -2.9670028674624245`, \ -16.284423915196797`}, {-7.5144566038328975`, -2.7585782639379763`, \ -17.068196670725158`}, {-13.996413517547989`, -1.8931863562336888`, \ -21.676375796416774`}}], Polygon3DBox[{{-14.757810062833762`, 2.7585782639379763`, -19.73180332927484}, {-14.581442751721063`, \ -2.101610959758137, -20.892603040888414`}, {-13.996413517547989`, \ -1.8931863562336888`, -21.676375796416774`}, {-14.172780828660688`, 2.9670028674624245`, -20.5155760848032}}], Polygon3DBox[{{-8.099485838005972, -2.9670028674624245`, \ -16.284423915196797`}, {-8.27585314911867, 1.8931863562336888`, -15.123624203583223`}, {-7.690823914945597, 2.101610959758137, -15.907396959111583`}, {-7.5144566038328975`, \ -2.7585782639379763`, -17.068196670725158`}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-14.172780828660688`, 2.9670028674624245`, -20.5155760848032}, {-7.690823914945597, 2.101610959758137, -15.907396959111583`}, {-7.50740191138839, \ -2.9529858328858216`, -17.114628659189698`}, {-13.98935882510348, \ -2.087593925181534, -21.72280778488132}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-8.939840454789788, 2.053466495577837, -15.895589783176765`}, {-9.927925606146662, 2.2570162303071992`, -16.89796431905489}, {-8.647325837703253, 2.1576787973400604`, -16.287476160940948`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-6.679804733949963, -1.588709514413867, \ -19.147007267030325`}, {-9.201036420701401, 0.14546464776653717`, -22.010311787308254`}, {-6.9750440639745745`, 0.8141288330395493, -18.523146203143742`}}], Line3DBox[{{-7.01637757017802, 1.1505262016830278`, -18.435805654199623`}, {-6.933710557771128, 0.4777314643960711, -18.610486752087866`}}], Line3DBox[{{-6.721138240153409, -1.252312145770389, \ -19.059666718086202`}, {-6.638471227746518, -1.9251068830573455`, \ -19.234347815974445`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-10.683081761595577`, 2.8146804894468014`, -22.974068249532287`}, {-5.9358577181173136`, 1.7491705125394095`, -16.623598145089844`}, {-5.321759911666122, \ -3.248733250163697, -17.92122915797393}, {-10.068983955144386`, \ -2.183223273256305, -24.271699262416373`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-10.683081761595577`, 2.8146804894468014`, -22.974068249532287`}, {-5.9358577181173136`, 1.7491705125394095`, -16.623598145089844`}, {-5.139663565120307, 1.9909962054600312`, -17.178209622694553`}, {-9.88688760859857, 3.056506182367423, -23.528679727136996`}}]}, {GrayLevel[1], Polygon3DBox[{{-10.092603101546356`, -1.9909962054600312`, \ -24.221790377305446`}, {-5.345379058068092, -3.056506182367423, \ -17.871320272863002`}, {-4.549184905071085, -2.8146804894468014`, \ -18.42593175046771}, {-9.296408948549349, -1.7491705125394095`, \ -24.776401854910155`}}], Polygon3DBox[{{-10.683081761595577`, 2.8146804894468014`, -22.974068249532287`}, {-10.092603101546356`, \ -1.9909962054600312`, -24.221790377305446`}, {-9.296408948549349, \ -1.7491705125394095`, -24.776401854910155`}, {-9.88688760859857, 3.056506182367423, -23.528679727136996`}}], Polygon3DBox[{{-5.345379058068092, -3.056506182367423, \ -17.871320272863002`}, {-5.9358577181173136`, 1.7491705125394095`, -16.623598145089844`}, {-5.139663565120307, 1.9909962054600312`, -17.178209622694553`}, {-4.549184905071085, \ -2.8146804894468014`, -18.42593175046771}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-9.88688760859857, 3.056506182367423, -23.528679727136996`}, {-5.139663565120307, 1.9909962054600312`, -17.178209622694553`}, {-4.525565758669115, \ -3.0069075572430752`, -18.47584063557864}, {-9.27278980214738, \ -1.9413975803356833`, -24.826310740021082`}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-6.330212185302845, 1.942815682882989, -17.556059777546324`}, {-6.96192785466229, 2.1897363520719377`, -18.80604491522493}, {-5.932115108804341, 2.063728529343299, -17.833365516348678`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-4.30551031347661, -1.6408329415897536`, \ -21.29381948455284}, {-5.8672916413884195`, 0.17694157476477543`, -24.731700981255152`}, {-4.853204403773236, 0.725724364522194, -20.702686476286317`}}], Line3DBox[{{-4.929881576414764, 1.057042387377867, -20.619927855129003`}, {-4.776527231131708, 0.39440634166652155`, -20.78544509744363}}], Line3DBox[{{-4.382187486118138, -1.3095149187340809`, \ -21.211060863395527`}, {-4.228833140835083, -1.9721509644454265`, \ -21.376578105710156`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-7.058952873066793, 2.8607468125260005`, -26.00729197340641}, {-4.483084307539801, 1.5917550859288903`, -18.54039597173527}, {-3.3438805997228194`, \ -3.330684110783961, -19.769952628929637`}, {-5.9197491652498115`, \ -2.0616923841868506`, -27.236848630600782`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-7.058952873066793, 2.8607468125260005`, -26.00729197340641}, {-4.483084307539801, 1.5917550859288903`, -18.54039597173527}, {-3.5620353075264557`, 1.8723677996978947`, -18.81044201006054}, {-6.137903873053448, 3.141359526295005, -26.277338011731683`}}]}, {GrayLevel[1], Polygon3DBox[{{-5.9635646924735415`, -1.8723677996978947`, \ -27.18955798993946}, {-3.3876961269465493`, -3.141359526295005, \ -19.722661988268317`}, {-2.4666471269332044`, -2.8607468125260005`, \ -19.99270802659359}, {-5.042515692460197, -1.5917550859288903`, \ -27.45960402826473}}], Polygon3DBox[{{-7.058952873066793, 2.8607468125260005`, -26.00729197340641}, {-5.9635646924735415`, \ -1.8723677996978947`, -27.18955798993946}, {-5.042515692460197, \ -1.5917550859288903`, -27.45960402826473}, {-6.137903873053448, 3.141359526295005, -26.277338011731683`}}], Polygon3DBox[{{-3.3876961269465493`, -3.141359526295005, \ -19.722661988268317`}, {-4.483084307539801, 1.5917550859288903`, -18.54039597173527}, {-3.5620353075264557`, 1.8723677996978947`, -18.81044201006054}, {-2.4666471269332044`, \ -2.8607468125260005`, -19.99270802659359}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-6.137903873053448, 3.141359526295005, -26.277338011731683`}, {-3.5620353075264557`, 1.8723677996978947`, -18.81044201006054}, {-2.4228315997094745`, \ -3.0500713970149564`, -20.03999866725491}, {-4.998700165236466, \ -1.7810796704178462`, -27.506894668926055`}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-4.574805628227338, 1.8205322301957803`, -19.54126948152548}, {-4.795320377191226, 2.1127589607925255`, -20.915487791399247`}, {-4.114281128220666, 1.9608385870802825`, -19.676292500688113`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-2.589744843452268, -1.690889674573852, \ -23.581510532208338`}, {-3.0960504647136826`, 0.2052329261425603, -27.284329890677036`}, {-3.41106931427427, 0.6261232847834368, -23.126672723452348`}}], Line3DBox[{{-3.5260547401893505`, 0.9505050990934572, -23.062995430226508`}, {-3.29608388835919, 0.3017414704734163, -23.190350016678188`}}], Line3DBox[{{-2.7047302693673485`, -1.3665078602638316`, \ -23.517833238982497`}, {-2.4747594175371876`, -2.0152714888838723`, \ -23.645187825434174`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-3.9651966284608915`, 2.891053946018733, -28.794611213344393`}, {-3.773909856760065, 1.4158217039431973`, -20.934134687651007`}, {-2.0655549574503, \ -3.4035652515199635`, -21.880197329863464`}, {-2.2568417291511262`, \ -1.9283330094444278`, -29.74067385555685}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-3.9651966284608915`, 2.891053946018733, -28.794611213344393`}, {-3.773909856760065, 1.4158217039431973`, -20.934134687651007`}, {-2.8297189798497775`, 1.7429719726958446`, -20.895713169143622`}, {-3.0210057515506037`, 3.2182042147713803`, -28.75618969483701}}]}, {GrayLevel[1], Polygon3DBox[{{-2.3225476868168866`, -1.7429719726958446`, \ -29.704286830856372`}, {-2.1312609151160604`, -3.2182042147713803`, \ -21.843810305162986`}, {-1.1870700382057726`, -2.891053946018733, \ -21.8053887866556}, {-1.3783568099065993`, -1.4158217039431973`, \ -29.665865312348988`}}], Polygon3DBox[{{-3.9651966284608915`, 2.891053946018733, -28.794611213344393`}, {-2.3225476868168866`, \ -1.7429719726958446`, -29.704286830856372`}, {-1.3783568099065993`, \ -1.4158217039431973`, -29.665865312348988`}, {-3.0210057515506037`, 3.2182042147713803`, -28.75618969483701}}], Polygon3DBox[{{-2.1312609151160604`, -3.2182042147713803`, \ -21.843810305162986`}, {-3.773909856760065, 1.4158217039431973`, -20.934134687651007`}, {-2.8297189798497775`, 1.7429719726958446`, -20.895713169143622`}, {-1.1870700382057726`, \ -2.891053946018733, -21.8053887866556}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-3.0210057515506037`, 3.2182042147713803`, -28.75618969483701}, {-2.8297189798497775`, 1.7429719726958446`, -20.895713169143622`}, {-1.1213640805400125`, \ -3.076414982767316, -21.84177581135608}, {-1.312650852240839, \ -1.6011827406917805`, -29.702252337049465`}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-3.5617729839950965`, 1.6820133013908007`, -21.907088873735834`}, {-3.359200449815169, 2.021966510942182, -23.27306688610533}, {-3.0896775455399528`, 1.8455884357671248`, -21.88787811448214}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-1.4892264237823176`, -1.7371859510053733`, \ -25.985343846065298`}, {-0.9454117691618364, 0.22962126603563973`, -29.645730746519806`}, {-2.56630396811061, 0.5105392826313161, -25.79134463735152}}], Line3DBox[{{-2.7170948243165705`, 0.8252208153404527, -25.76418474813159}, {-2.415513111904649, 0.19585774992217952`, -25.81850452657145}}], Line3DBox[{{-1.6400172799882784`, -1.4225044182962368`, \ -25.958183956845367`}, {-1.3384355675763566`, -2.05186748371451, \ -26.012503735285225`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-1.481312600097815, 2.8988187997836636`, -31.330424790211726`}, {-3.646019453667069, 1.2129295993383267`, -23.815651780588933`}, {-1.4056981614642217`, \ -3.4623388866259877`, -24.21917013471359}, { 0.7590086921050325, -1.7764496861806507`, -31.733943144336383`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-1.481312600097815, 2.8988187997836636`, -31.330424790211726`}, {-3.646019453667069, 1.2129295993383267`, -23.815651780588933`}, {-2.785109155225434, 1.5966316674897156`, -23.481576792360716`}, {-0.6204023016561799, 3.2825208679350526`, -30.99634980198351}}]}, {GrayLevel[1], Polygon3DBox[{{ 0.6728424885587692, -1.5966316674897156`, -31.71842320763928}, \ {-1.491864365010485, -3.2825208679350526`, -24.203650198016486`}, \ {-0.63095406656885, -2.8988187997836636`, -23.86957520978827}, { 1.5337527870004042`, -1.2129295993383267`, -31.384348219411063`}}], Polygon3DBox[{{-1.481312600097815, 2.8988187997836636`, -31.330424790211726`}, { 0.6728424885587692, -1.5966316674897156`, -31.71842320763928}, { 1.5337527870004042`, -1.2129295993383267`, -31.384348219411063`}, \ {-0.6204023016561799, 3.2825208679350526`, -30.99634980198351}}], Polygon3DBox[{{-1.491864365010485, -3.2825208679350526`, \ -24.203650198016486`}, {-3.646019453667069, 1.2129295993383267`, -23.815651780588933`}, {-2.785109155225434, 1.5966316674897156`, -23.481576792360716`}, {-0.63095406656885, \ -2.8988187997836636`, -23.86957520978827}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-0.6204023016561799, 3.2825208679350526`, -30.99634980198351}, {-2.785109155225434, 1.5966316674897156`, -23.481576792360716`}, {-0.5447878630225866, \ -3.0786368184745987`, -23.88509514648537}, { 1.6199189905466675`, -1.3927476180292617`, -31.399868156108163`}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-3.160203522360504, 1.5195912664318412`, -24.67147965973473}, {-2.5661522483754755`, 1.9105473935476223`, -25.903046189361664`}, {-2.729748373139686, 1.7114423005075352`, -24.50444216562062}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-0.9771755844765473, -1.776551827696884, \ -28.46587826375736}, {0.5228864876117507, 0.24996329426993952`, -31.81334703411957}, {-2.2386499153517283`, 0.37277734057316664`, -28.663532504187863`}}], Line3DBox[{{-2.4152563216742537`, 0.6736834241309739, -28.691204097848136`}, {-2.062043509029203, 0.07187125701535962, -28.635860910527594`}}], Line3DBox[{{-1.1537819907990727`, -1.475645744139077, \ -28.49354985741763}, {-0.8005691781540221, -2.077457911254691, \ -28.438206670097088`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{0.3268117754995141, 2.8752177314558893`, -33.63532209962355}, {-3.934786699552263, 0.9715166557922928, -27.13803879932964}, {-1.3109200913318866`, \ -3.4990880142094127`, -26.726917979234187`}, { 2.95067838371989, -1.5953869385458166`, -33.2242012795281}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{0.3268117754995141, 2.8752177314558893`, -33.63532209962355}, {-3.934786699552263, 0.9715166557922928, -27.13803879932964}, {-3.255360437249875, 1.4234406050842123`, -26.559986381237454`}, {1.0062380378019018`, 3.3271416807478085`, -33.057269681531366`}}]}, {GrayLevel[1], Polygon3DBox[{{ 2.8497604372498753`, -1.4234406050842123`, -33.24001361876254}, \ {-1.411838037801901, -3.3271416807478085`, -26.742730318468627`}, \ {-0.7324117754995134, -2.8752177314558893`, -26.164677900376446`}, { 3.5291866995522634`, -0.9715166557922928, -32.66196120067036}}], Polygon3DBox[{{0.3268117754995141, 2.8752177314558893`, -33.63532209962355}, { 2.8497604372498753`, -1.4234406050842123`, -33.24001361876254}, { 3.5291866995522634`, -0.9715166557922928, -32.66196120067036}, { 1.0062380378019018`, 3.3271416807478085`, -33.057269681531366`}}], Polygon3DBox[{{-1.411838037801901, -3.3271416807478085`, \ -26.742730318468627`}, {-3.934786699552263, 0.9715166557922928, -27.13803879932964}, {-3.255360437249875, 1.4234406050842123`, -26.559986381237454`}, {-0.7324117754995134, \ -2.8752177314558893`, -26.164677900376446`}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{1.0062380378019018`, 3.3271416807478085`, -33.057269681531366`}, {-3.255360437249875, 1.4234406050842123`, -26.559986381237454`}, {-0.6314938290294989, \ -3.047164064917493, -26.148865561142003`}, { 3.6301046460222777`, -1.143462989253897, -32.64614886143592}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-3.2322303245951938`, 1.3224602775732222`, -27.805686107343334`}, {-2.316594025885536, 1.7685889531373313`, -28.79819758037172}, {-2.892517193444, 1.5484222522191815`, -27.51665989829724}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-1.049551324468712, -1.8032422668789314`, \ -30.97817186619537}, {1.2504241961066207`, 0.2664878622134409, -33.8046229415183}, {-2.3612218663338362`, 0.20604415359594597`, -31.679804912120467`}}], Line3DBox[{{-2.5448557421949536`, 0.48734425246242885`, -31.77803353854998}, {-2.177587990472719, \ -0.07525594527053692, -31.581576285690954`}}], Line3DBox[{{-1.2331852003298294`, -1.5219421680124485`, \ -31.076400492624884`}, {-0.8659174486075948, -2.0845423657454143`, \ -30.879943239765858`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{1.4166590499954441`, 2.8083177421157854`, -35.74407326362359}, {-4.494962533020345, 0.6781439044059179, -30.792804158902825`}, {-1.7666878059408877`, \ -3.5011718501818274`, -29.333407423378624`}, { 4.144933777074902, -1.3709980124719598`, -34.28467652809939}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{1.4166590499954441`, 2.8083177421157854`, -35.74407326362359}, {-4.494962533020345, 0.6781439044059179, -30.792804158902825`}, {-4.0722668003923586`, 1.2102550988339698`, -30.059192828226596`}, {1.8393547826234309`, 3.3404289365438373`, -35.01046193294736}}]}, {GrayLevel[1], Polygon3DBox[{{ 4.040000133725692, -1.2102550988339698`, -34.34080717177339}, \ {-1.8716214492900975`, -3.3404289365438373`, -29.389538067052634`}, \ {-1.4489257166621108`, -2.8083177421157854`, -28.655926736376404`}, { 4.462695866353679, -0.6781439044059179, -33.607195841097166`}}], Polygon3DBox[{{1.4166590499954441`, 2.8083177421157854`, -35.74407326362359}, { 4.040000133725692, -1.2102550988339698`, -34.34080717177339}, { 4.462695866353679, -0.6781439044059179, -33.607195841097166`}, { 1.8393547826234309`, 3.3404289365438373`, -35.01046193294736}}], Polygon3DBox[{{-1.8716214492900975`, -3.3404289365438373`, \ -29.389538067052634`}, {-4.494962533020345, 0.6781439044059179, -30.792804158902825`}, {-4.0722668003923586`, 1.2102550988339698`, -30.059192828226596`}, {-1.4489257166621108`, \ -2.8083177421157854`, -28.655926736376404`}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{1.8393547826234309`, 3.3404289365438373`, -35.01046193294736}, {-4.0722668003923586`, 1.2102550988339698`, -30.059192828226596`}, {-1.343992073312901, \ -2.9690606557537755`, -28.599796092702398`}, { 4.567629509702889, -0.838886818043908, -33.551065197423156`}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-3.650335901986375, 1.0774434327266642`, -31.228309964323863`}, {-2.5101281918016154`, 1.583251652932904, -31.91137922498094}, {-3.4389880356723816`, 1.34349902994069, -30.86150429898575}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-1.7264105970448953`, -1.8079313480026347`, \ -33.484961998704996`}, {1.188841998485323, 0.2794315885328229, -35.654458605642354`}, {-2.8940039305513428`, 0.0046456971847836925`, -34.75038277979732}}], Line3DBox[{{-3.0574669972422455`, 0.25840648351102247`, -34.927541689150246`}, {-2.73054086386044, \ -0.24911508914145486`, -34.573223870444394`}}], Line3DBox[{{-1.889873663735798, -1.5541705616763961`, \ -33.66212090805792}, {-1.5629475303539926`, -2.061692134328873, \ -33.30780308935207}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{1.7707732961205966`, 2.682545840691115, -37.68827249493028}, {-5.227325228446287, 0.32039701280761856`, -34.61470006214789}, {-2.7987310947528767`, \ -3.449763241182212, -31.982624837475846`}, { 4.199367429814007, -1.0876144132987149`, -35.05619727025824}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{1.7707732961205966`, 2.682545840691115, -37.68827249493028}, {-5.227325228446287, 0.32039701280761856`, -34.61470006214789}, {-5.098226629800159, 0.9426082496837214, -33.842569067254374`}, {1.8998718947667248`, 3.304757077567218, -36.916141500036765`}}]}, {GrayLevel[1], Polygon3DBox[{{ 4.1059599631334915`, -0.9426082496837214, -35.157430932745626`}, \ {-2.8921385614333923`, -3.304757077567218, -32.083858499963235`}, \ {-2.763039962787264, -2.682545840691115, -31.31172750506972}, { 4.23505856177962, -0.32039701280761856`, -34.38529993785211}}], Polygon3DBox[{{1.7707732961205966`, 2.682545840691115, -37.68827249493028}, { 4.1059599631334915`, -0.9426082496837214, -35.157430932745626`}, { 4.23505856177962, -0.32039701280761856`, -34.38529993785211}, { 1.8998718947667248`, 3.304757077567218, -36.916141500036765`}}], Polygon3DBox[{{-2.8921385614333923`, -3.304757077567218, \ -32.083858499963235`}, {-5.227325228446287, 0.32039701280761856`, -34.61470006214789}, {-5.098226629800159, 0.9426082496837214, -33.842569067254374`}, {-2.763039962787264, \ -2.682545840691115, -31.31172750506972}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{1.8998718947667248`, 3.304757077567218, -36.916141500036765`}, {-5.098226629800159, 0.9426082496837214, -33.842569067254374`}, {-2.669632496106748, \ -2.827552004306109, -31.21049384258233}, { 4.328466028460135, -0.46540317642261253`, -34.28406627536472}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-4.320288263213895, 0.7712184255120813, -34.80586386752231}, {-3.063346371753158, 1.340147279610719, -35.15070629453585}, {-4.25573896389083, 1.0823240439501327`, -34.419798370075554`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-3.0450519837067103`, -1.7775034224758552`, \ -35.9713442763007}, {0.3051753827828445, 0.2885845395032292, -37.41000834242317}, {-3.837293950347855, \ -0.23327651261760324`, -37.77070960136929}}], Line3DBox[{{-3.9482078256776147`, -0.01708474523744785, \ -38.02262074687889}, {-3.7263800750180947`, -0.44946827999775846`, \ -37.51879845585969}}], Line3DBox[{{-3.1559658590364705`, -1.5613116550957, \ -36.2232554218103}, {-2.93413810837695, -1.9936951898560105`, \ -35.71943313079109}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{1.386107591046763, 2.4797987028864603`, -39.47886436928585}, {-6.106589108573491, \ -0.10815031121345653`, -38.4009015621095}, {-4.458725817959909, \ -3.3201422837186207`, -34.65822168596682}, { 3.0339708816603443`, -0.7321932696187039, -35.73618449314318}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{1.386107591046763, 2.4797987028864603`, -39.47886436928585}, {-6.106589108573491, \ -0.10815031121345653`, -38.4009015621095}, {-6.256191524329054, 0.6086551168300436, -37.719866280851335`}, {1.2365051752912, 3.1966041309299604`, -38.79782908802768}}]}, {GrayLevel[1], Polygon3DBox[{{ 2.9705915243290524`, -0.6086551168300436, -35.88013371914866}, \ {-4.522105175291202, -3.1966041309299604`, -34.80217091197231}, \ {-4.671707591046765, -2.4797987028864603`, -34.12113563071414}, { 2.8209891085734893`, 0.10815031121345653`, -35.19909843789049}}], Polygon3DBox[{{1.386107591046763, 2.4797987028864603`, -39.47886436928585}, { 2.9705915243290524`, -0.6086551168300436, -35.88013371914866}, { 2.8209891085734893`, 0.10815031121345653`, -35.19909843789049}, { 1.2365051752912, 3.1966041309299604`, -38.79782908802768}}], Polygon3DBox[{{-4.522105175291202, -3.1966041309299604`, \ -34.80217091197231}, {-6.106589108573491, -0.10815031121345653`, \ -38.4009015621095}, {-6.256191524329054, 0.6086551168300436, -37.719866280851335`}, {-4.671707591046765, \ -2.4797987028864603`, -34.12113563071414}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{1.2365051752912, 3.1966041309299604`, -38.79782908802768}, {-6.256191524329054, 0.6086551168300436, -37.719866280851335`}, {-4.608328233715474, \ -2.6033368556751206`, -33.977186404708654`}, { 2.8843684659047804`, -0.015387841575203787`, -35.05514921188501}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-5.207402625059849, 0.3945446725599081, -38.365388092692}, {-3.933581306565196, 1.0266371070382685`, -38.383772763633324`}, {-5.282203832937631, 0.7529473865816582, -38.02487045206292}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-5.042901842307471, -1.6966802619823818`, \ -38.45506447744346}, {-1.4156360059044069`, 0.29294427533819145`, -39.12352177450068}, {-5.239572766221958, \ -0.502411651155529, -40.642538056709036`}}], Line3DBox[{{-5.267106695569987, -0.33521404563976964`, \ -40.94878435780622}, {-5.21203883687393, -0.6696092566712883, \ -40.33629175561186}}], Line3DBox[{{-5.070435771655499, -1.5294826564666224`, \ -38.76131077854064}, {-5.015367912959443, -1.863877867498141, \ -38.148818176346275`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{0.25049371936125997`, 2.1834580021186176`, -41.09835560747848}, {-7.2007088773593555`, \ -0.601522461695676, -41.94891459262961}, {-6.791633355617223, \ -3.08560117221553, -37.398969547757204`}, { 0.6595692411033927, -0.3006207084012362, -36.548410562606065`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{0.25049371936125997`, 2.1834580021186176`, -41.09835560747848}, {-7.2007088773593555`, \ -0.601522461695676, -41.94891459262961}, {-7.556102233856903, 0.2050792195350879, -41.47659155105267}, {-0.1048996371362878, 2.9900596833493815`, -40.62603256590154}}]}, {GrayLevel[1], Polygon3DBox[{{ 0.6438355671902336, -0.2050792195350879, -36.72340844894732}, \ {-6.807367029530381, -2.9900596833493815`, -37.57396743409845}, \ {-7.162760386027929, -2.1834580021186176`, -37.10164439252151}, { 0.2884422106926863, 0.601522461695676, -36.251085407370375`}}], Polygon3DBox[{{0.25049371936125997`, 2.1834580021186176`, -41.09835560747848}, { 0.6438355671902336, -0.2050792195350879, -36.72340844894732}, { 0.2884422106926863, 0.601522461695676, -36.251085407370375`}, {-0.1048996371362878, 2.9900596833493815`, -40.62603256590154}}], Polygon3DBox[{{-6.807367029530381, -2.9900596833493815`, \ -37.57396743409845}, {-7.2007088773593555`, -0.601522461695676, \ -41.94891459262961}, {-7.556102233856903, 0.2050792195350879, -41.47659155105267}, {-7.162760386027929, \ -2.1834580021186176`, -37.10164439252151}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-0.1048996371362878, 2.9900596833493815`, -40.62603256590154}, {-7.556102233856903, 0.2050792195350879, -41.47659155105267}, {-7.14702671211477, \ -2.278999490984766, -36.92664650618026}, {0.3041758846058453, 0.5059809728295277, -36.07608752102913}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-6.358156891893666, -0.05174948341119845, \ -41.72451395909149}, {-5.143044776591944, 0.637272518063994, -41.4575853762958}, {-6.535853570142439, 0.3515513572041835, -41.48835243830302}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-7.733263942283586, -1.5522638424747548`, \ -40.98370889755654}, {-3.972089469800076, 0.29078731347888376`, -40.84504645914658}, {-7.1915256626980355`, \ -0.7878682243700939, -43.30151297243183}}], Line3DBox[{{-7.115682303556059, -0.6808528378354413, \ -43.62600554291437}, {-7.267369021840013, -0.8948836109047463, \ -42.97702040194929}}], Line3DBox[{{-7.65742058314161, -1.4452484559401024`, \ -41.30820146803908}, {-7.809107301425564, -1.6592792290094074`, \ -40.659216327074}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-1.6851985238691585`, 1.7856096050341987`, -42.51406829609807}, {-8.665809189250629, \ -1.1360970887684174`, -45.109197247793276`}, {-9.792624810788574, \ -2.7260399744261123`, -40.288164772052674`}, {-2.812014145407103, 0.19566671937650382`, -37.693035820357466`}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-1.6851985238691585`, 1.7856096050341987`, -42.51406829609807}, {-8.665809189250629, \ -1.1360970887684174`, -45.109197247793276`}, {-9.103591583626411, \ -0.25681836882487685`, -44.92153985365251}, {-2.122980918244941, 2.6648883249777393`, -42.3264109019573}}]}, {GrayLevel[1], Polygon3DBox[{{-2.7686750830402587`, 0.25681836882487685`, -37.878460146347486`}, {-9.749285748421729, \ -2.6648883249777393`, -40.473589098042694`}, {-10.18706814279751, \ -1.7856096050341987`, -40.28593170390193}, {-3.2064574774160417`, 1.1360970887684174`, -37.69080275220672}}], Polygon3DBox[{{-1.6851985238691585`, 1.7856096050341987`, -42.51406829609807}, {-2.7686750830402587`, 0.25681836882487685`, -37.878460146347486`}, {-3.2064574774160417`, 1.1360970887684174`, -37.69080275220672}, {-2.122980918244941, 2.6648883249777393`, -42.3264109019573}}], Polygon3DBox[{{-9.749285748421729, -2.6648883249777393`, \ -40.473589098042694`}, {-8.665809189250629, -1.1360970887684174`, \ -45.109197247793276`}, {-9.103591583626411, -0.25681836882487685`, \ -44.92153985365251}, {-10.18706814279751, -1.7856096050341987`, \ -40.28593170390193}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-2.122980918244941, 2.6648883249777393`, -42.3264109019573}, {-9.103591583626411, \ -0.25681836882487685`, -44.92153985365251}, {-10.230407205164356`, \ -1.8467612544825718`, -40.10050737791191}, {-3.249796539782886, 1.0749454393200444`, -37.5053784262167}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-7.902678454671891, -0.5510640720572053, \ -44.73789178029618}, {-6.790517186824079, 0.18005427934413765`, -44.23682986521433}, {-8.121569651859781, \ -0.11142471208543503`, -44.6440630832258}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-11.085612345541799`, -1.339264567174778, \ -43.61275230858675}, {-7.350775513207973, 0.28038639702543044`, -42.61765359243907}, {-9.800655305912978, \ -1.0660600775548508`, -45.73977905691258}}], Line3DBox[{{-9.620761320364942, -1.027811449008061, \ -46.0375628016782}, {-9.980549291461012, -1.1043087061016406`, \ -45.441995312146965`}}], Line3DBox[{{-10.905718359993763`, -1.3010159386279883`, \ -43.91053605335237}, {-11.265506331089835`, -1.3775131957215678`, \ -43.31496856382113}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-4.519639317319443, 1.29511524634048, -43.7153742956096}, {-10.704355942358273`, \ -1.6709821924400097`, -47.83259847623079}, {-13.377066584786224`, \ -2.2392475308494584`, -43.40838283971307}, {-7.192349959747394, 0.7268499079310315, -39.29115865909188}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-4.519639317319443, 1.29511524634048, -43.7153742956096}, {-10.704355942358273`, \ -1.6709821924400097`, -47.83259847623079}, {-11.076046603422917`, \ -0.7487062671006257, -47.93867920104205}, {-4.891329978384087, 2.217391171679864, -43.821455020420856`}}]}, {GrayLevel[1], Polygon3DBox[{{-7.089553396577088, 0.7487062671006257, -39.46132079895794}, {-13.274270021615918`, \ -2.217391171679864, -43.578544979579135`}, {-13.645960682680562`, \ -1.29511524634048, -43.68462570439039}, {-7.461244057641732, 1.6709821924400097`, -39.5674015237692}}], Polygon3DBox[{{-4.519639317319443, 1.29511524634048, -43.7153742956096}, {-7.089553396577088, 0.7487062671006257, -39.46132079895794}, {-7.461244057641732, 1.6709821924400097`, -39.5674015237692}, {-4.891329978384087, 2.217391171679864, -43.821455020420856`}}], Polygon3DBox[{{-13.274270021615918`, -2.217391171679864, \ -43.578544979579135`}, {-10.704355942358273`, -1.6709821924400097`, \ -47.83259847623079}, {-11.076046603422917`, -0.7487062671006257, \ -47.93867920104205}, {-13.645960682680562`, -1.29511524634048, \ -43.68462570439039}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-4.891329978384087, 2.217391171679864, -43.821455020420856`}, {-11.076046603422917`, \ -0.7487062671006257, -47.93867920104205}, {-13.748757245850868`, \ -1.3169716055100742`, -43.51446356452432}, {-7.564040620812038, 1.6491258332704155`, -39.39723938390313}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-10.024189029494579`, -1.0696510312576024`, \ -47.34446563485596}, {-9.034786285378946, -0.32001499813617085`, \ -46.65047158445007}, {-10.210034360026903`, -0.6085130685879103, \ -47.39750599726159}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-15.026669331484815`, -1.0658561678330074`, \ -46.370494048350416`}, {-11.53152816639362, 0.26118299543457746`, -44.476965107891914`}, {-13.15294839126061, \ -1.3103298334679205`, -48.00738163740239}}], Line3DBox[{{-12.890627459629222`, -1.3445561466568083`, \ -48.23654589986967}, {-13.415269322891998`, -1.2761035202790327`, \ -47.77821737493512}}], Line3DBox[{{-14.764348399853425`, -1.1000824810218952`, \ -46.599658310817695`}, {-15.288990263116203`, -1.0316298546441196`, \ -46.141329785883144`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-8.378666878679871, 0.741347327842185, -44.75786632945164}, {-13.495228268638053`, \ -2.1572046643278977`, -50.18181179942062}, {-17.3925678243044, \ -1.6486994398072785`, -46.77708561419252}, {-12.276006434346217`, 1.2498525523628043`, -41.35314014422354}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-8.378666878679871, 0.741347327842185, -44.75786632945164}, {-13.495228268638053`, \ -2.1572046643278977`, -50.18181179942062}, {-13.666157907538391`, \ -1.2302946591120112`, -50.5159088486523}, {-8.549596517580209, 1.6682573330580717`, -45.091963378683324`}}]}, {GrayLevel[1], Polygon3DBox[{{-12.126108759128279`, 1.2302946591120112`, -41.4840911513477}, {-17.24267014908646, \ -1.6682573330580717`, -46.908036621316676`}, {-17.413599787986797`, \ -0.741347327842185, -47.24213367054836}, {-12.297038398028617`, 2.1572046643278977`, -41.81818820057938}}], Polygon3DBox[{{-8.378666878679871, 0.741347327842185, -44.75786632945164}, {-12.126108759128279`, 1.2302946591120112`, -41.4840911513477}, {-12.297038398028617`, 2.1572046643278977`, -41.81818820057938}, {-8.549596517580209, 1.6682573330580717`, -45.091963378683324`}}], Polygon3DBox[{{-17.24267014908646, -1.6682573330580717`, \ -46.908036621316676`}, {-13.495228268638053`, -2.1572046643278977`, \ -50.18181179942062}, {-13.666157907538391`, -1.2302946591120112`, \ -50.5159088486523}, {-17.413599787986797`, -0.741347327842185, \ -47.24213367054836}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-8.549596517580209, 1.6682573330580717`, -45.091963378683324`}, {-13.666157907538391`, \ -1.2302946591120112`, -50.5159088486523}, {-17.563497463204733`, \ -0.721789434591392, -47.1111826634242}, {-12.446936073246553`, 2.176762557578691, -41.68723719345522}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-12.898390504618366`, -1.5631581640026657`, \ -49.58734287798242}, {-12.045724671100768`, -0.8241840640689297, \ -48.72167668304577}, {-12.983855324068534`, -1.0997031613947226`, \ -49.75439140259826}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-19.468827005563323`, -0.7533323727266148, \ -49.230387954236576`}, {-16.489518603642853`, 0.23470370667767487`, -46.4536989760133}, {-17.282288554481116`, \ -1.499480069536756, -50.18553772602277}}], Line3DBox[{{-16.97617317132961, -1.6039407470901759`, \ -50.319258694072836`}, {-17.588403937632627`, -1.3950193919833365`, \ -50.0518167579727}}], Line3DBox[{{-19.162711622411813`, -0.8577930502800346, \ -49.36410892228664}, {-19.77494238871483, -0.648871695173195, \ -49.096666986186506`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-13.359960564370967`, 0.16911097377221385`, -45.78171681574131}, {-17.132038917129698`, \ -2.553108881846507, -52.290244543974055`}, {-21.680038895380683`, \ -1.001121672481413, -50.30353301865877}, {-17.907960542621954`, 1.7210981831373078`, -43.79500529042602}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-13.359960564370967`, 0.16911097377221385`, -45.78171681574131}, {-17.132038917129698`, \ -2.553108881846507, -52.290244543974055`}, {-17.019229200131292`, \ -1.6614063673924964`, -52.728582727831075`}, {-13.247150847372563`, 1.0608134882262243`, -46.22005499959833}}]}, {GrayLevel[1], Polygon3DBox[{{-17.73303746653538, 1.6614063673924964`, -43.87141727216892}, {-21.505115819294108`, \ -1.0608134882262243`, -50.37994500040166}, {-21.392306102295706`, \ -0.16911097377221385`, -50.81828318425868}, {-17.620227749536973`, 2.553108881846507, -44.30975545602594}}], Polygon3DBox[{{-13.359960564370967`, 0.16911097377221385`, -45.78171681574131}, {-17.73303746653538, 1.6614063673924964`, -43.87141727216892}, {-17.620227749536973`, 2.553108881846507, -44.30975545602594}, {-13.247150847372563`, 1.0608134882262243`, -46.22005499959833}}], Polygon3DBox[{{-21.505115819294108`, -1.0608134882262243`, \ -50.37994500040166}, {-17.132038917129698`, -2.553108881846507, \ -52.290244543974055`}, {-17.019229200131292`, -1.6614063673924964`, \ -52.728582727831075`}, {-21.392306102295706`, -0.16911097377221385`, \ -50.81828318425868}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-13.247150847372563`, 1.0608134882262243`, -46.22005499959833}, {-17.019229200131292`, \ -1.6614063673924964`, -52.728582727831075`}, {-21.56722917838228, \ -0.10941915802740243`, -50.74187120251579}, {-17.79515082562355, 2.612800697591318, -44.233343474283046`}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-16.632326693785256`, -1.989905771280664, \ -51.58626312390922}, {-15.944010552802876`, -1.2905916679338856`, \ -50.55685531743274}, {-16.575921835286053`, -1.5440545140536588`, \ -51.805432215837726`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-24.35147714828808, -0.4301083271812127, \ -52.111107125477645`}, {-22.193375074281736`, 0.20449624132605437`, -48.57523843314334}, {-22.167777765296997`, \ -1.6244238625011969`, -52.345768119328554`}}], Line3DBox[{{-21.862059851678247`, -1.7916280374459945`, \ -52.37862065846768}, {-22.47349567891575, -1.4572196875563992`, \ -52.31291558018943}}], Line3DBox[{{-24.04575923466933, -0.5973125021260105, \ -52.14395966461677}, {-24.657195061906833`, -0.26290415223641495`, \ -52.07825458633852}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-19.47654950003525, -0.3739381259103003, \ -46.983299832364374`}, {-21.60905426505686, -2.8374627982448186`, \ -54.28969821088389}, {-26.15114898167831, -0.3532864847792515, \ -53.801603343673996`}, {-24.018644216656703`, 2.1102381875552667`, -46.49520496515448}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-19.47654950003525, -0.3739381259103003, \ -46.983299832364374`}, {-21.60905426505686, -2.8374627982448186`, \ -54.28969821088389}, {-21.20165173398259, -2.014692944729668, \ -54.68602215533743}, {-19.069146968960982`, 0.44883172760485024`, -47.379623776817915`}}]}, {GrayLevel[1], Polygon3DBox[{{-23.843948266017417`, 2.014692944729668, -46.513977844662556`}, {-25.976453031039025`, \ -0.44883172760485024`, -53.82037622318207}, {-25.569050499964757`, 0.3739381259103003, -54.216700167635615`}, {-23.43654573494315, 2.8374627982448186`, -46.9103017891161}}], Polygon3DBox[{{-19.47654950003525, -0.3739381259103003, \ -46.983299832364374`}, {-23.843948266017417`, 2.014692944729668, -46.513977844662556`}, {-23.43654573494315, 2.8374627982448186`, -46.9103017891161}, {-19.069146968960982`, 0.44883172760485024`, -47.379623776817915`}}], Polygon3DBox[{{-25.976453031039025`, -0.44883172760485024`, \ -53.82037622318207}, {-21.60905426505686, -2.8374627982448186`, \ -54.28969821088389}, {-21.20165173398259, -2.014692944729668, \ -54.68602215533743}, {-25.569050499964757`, 0.3739381259103003, -54.216700167635615`}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-19.069146968960982`, 0.44883172760485024`, -47.379623776817915`}, {-21.20165173398259, \ -2.014692944729668, -54.68602215533743}, {-25.743746450604043`, 0.469483368735899, -54.197927288127545`}, {-23.611241685582435`, 2.9330080410704173`, -46.89152890960803}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-21.24064053666059, -2.323829750824216, \ -53.475479399682335`}, {-20.765601570013242`, -1.6870204697868878`, \ -52.29594066955481}, {-21.036939271123458`, -1.912444824066641, \ -53.67364137190911}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-29.669557325537607`, -0.12320687200734154`, \ -54.90481899475592}, {-28.602330909486994`, 0.17505701749716124`, -50.863215059757806`}, {-27.7590509123629, \ -1.6891854856958395`, -54.520533228455164`}}], Line3DBox[{{-27.49158001451844, -1.9084224916122292`, \ -54.46673322117306}, {-28.026521810207356`, -1.4699484797794498`, \ -54.574333235737264`}}], Line3DBox[{{-29.402086427693146`, -0.34244387792373127`, \ -54.851018987473815`}, {-29.937028223382065`, 0.09603013390904835, -54.95861900203803}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-26.635837891580657`, -0.8502949980169607, \ -48.55419876753318}, {-26.859784310507173`, -3.012801390714464, \ -56.253120871228646`}, {-30.833637649910564`, 0.24443412575761148`, -57.05243526513423}, {-30.609691230984048`, 2.406940518455115, -49.35351316143876}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-26.635837891580657`, -0.8502949980169607, \ -48.55419876753318}, {-26.859784310507173`, -3.012801390714464, \ -56.253120871228646`}, {-26.215415948736602`, -2.281662229360035, \ -56.4772296998653}, {-25.991469529810082`, -0.1191558366625316, \ -48.77830759616983}}]}, {GrayLevel[1], Polygon3DBox[{{-30.45685071793007, 2.281662229360035, -49.3227703001347}, {-30.68079713685659, 0.1191558366625316, -57.021692403830166`}, {-30.036428775086016`, 0.8502949980169607, -57.24580123246682}, {-29.8124823561595, 3.012801390714464, -49.54687912877135}}], Polygon3DBox[{{-26.635837891580657`, -0.8502949980169607, \ -48.55419876753318}, {-30.45685071793007, 2.281662229360035, -49.3227703001347}, {-29.8124823561595, 3.012801390714464, -49.54687912877135}, {-25.991469529810082`, \ -0.1191558366625316, -48.77830759616983}}], Polygon3DBox[{{-30.68079713685659, 0.1191558366625316, -57.021692403830166`}, {-26.859784310507173`, \ -3.012801390714464, -56.253120871228646`}, {-26.215415948736602`, \ -2.281662229360035, -56.4772296998653}, {-30.036428775086016`, 0.8502949980169607, -57.24580123246682}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-25.991469529810082`, -0.1191558366625316, \ -48.77830759616983}, {-26.215415948736602`, -2.281662229360035, \ -56.4772296998653}, {-30.189269288139993`, 0.9755732871120406, -57.27654409377087}, {-29.965322869213477`, 3.138079679809544, -49.57762199007541}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-26.670698917698715`, -2.559703301288669, \ -55.346782815425875`}, {-26.470416203943934`, -1.9984798922279987`, \ -54.05549865443833}, {-26.34851473681343, -2.1941337206114544`, \ -55.458837229744205`}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-35.47513802818609, 0.14802047646841887`, -57.51436821020876}, {-35.666353118732296`, 0.1504370326699967, -53.32797071196862}, {-34.010036630582626`, \ -1.706741361800491, -56.69991401247238}}], Line3DBox[{{-33.80492243491814, -1.9664080191581381`, \ -56.585890424789284`}, {-34.21515082624711, -1.4470747044428434`, \ -56.81393760015547}}], Line3DBox[{{-35.2700238325216, -0.11164618088922856`, \ -57.400344622525665`}, {-35.68025222385057, 0.40768713382606625`, -57.62839179789185}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-34.663134615802804`, -1.2394260679308966`, \ -50.62393131454626}, {-32.815603037106925`, -3.0990210186029623`, \ -58.18227211329016}, {-35.86301394412212, 0.7588836049963701, -59.87633684458183}, {-37.710545522818, 2.6184785556684353`, -52.31799604583793}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-34.663134615802804`, -1.2394260679308966`, \ -50.62393131454626}, {-32.815603037106925`, -3.0990210186029623`, \ -58.18227211329016}, {-32.03892925565694, -2.470097608606923, \ -58.14716028998097}, {-33.88646083435282, -0.6105026579348574, \ -50.588819491237075`}}]}, {GrayLevel[1], Polygon3DBox[{{-37.59333741100973, 2.470097608606923, -52.252839710019025`}, {-35.74580583231385, 0.6105026579348574, -59.81118050876292}, {-34.96913205086386, 1.2394260679308966`, -59.77606868545373}, {-36.81666362955974, 3.0990210186029623`, -52.21772788670983}}], Polygon3DBox[{{-34.663134615802804`, -1.2394260679308966`, \ -50.62393131454626}, {-37.59333741100973, 2.470097608606923, -52.252839710019025`}, {-36.81666362955974, 3.0990210186029623`, -52.21772788670983}, {-33.88646083435282, \ -0.6105026579348574, -50.588819491237075`}}], Polygon3DBox[{{-35.74580583231385, 0.6105026579348574, -59.81118050876292}, {-32.815603037106925`, \ -3.0990210186029623`, -58.18227211329016}, {-32.03892925565694, \ -2.470097608606923, -58.14716028998097}, {-34.96913205086386, 1.2394260679308966`, -59.77606868545373}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-33.88646083435282, -0.6105026579348574, \ -50.588819491237075`}, {-32.03892925565694, -2.470097608606923, \ -58.14716028998097}, {-35.08634016267214, 1.3878070149924093`, -59.841225021272635`}, {-36.933871741368016`, 3.2474019656644746`, -52.28288422252874}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-32.85237603908141, -2.7093407972699444`, \ -57.22870155761988}, {-32.9815256199907, -2.226680828403323, \ -55.897213962012394`}, {-32.46403914835642, -2.3948790922719247`, \ -57.21114564596528}}]}}}, {{}, {}, {}, { {AbsoluteThickness[0.6], {RGBColor[1, 1, 0], Line3DBox[{{-41.858006936111046`, 0.37381514991788106`, -59.87944787432183}, {-43.33058133816227, 0.13325173473485846`, -55.96331057228301}, {-40.901352827247614`, \ -1.6931632386463937`, -58.848713670761654`}}], Line3DBox[{{-40.767421252006734`, -1.9825402130453924`, \ -58.704410882263225`}, {-41.03528440248849, -1.4037862642473953`, \ -58.993016459260076`}}], Line3DBox[{{-41.72407536087017, 0.08443817551888261, -59.735145085823405`}, {-41.991938511351925`, 0.6631921243168797, -60.023750662820255`}}]}}, {FaceForm[GrayLevel[0.8], RGBColor[0, 0, 1]], Polygon3DBox[{{-43.34937795754031, -1.5372637642798588`, \ -53.23219126859345}, {-39.44757504457443, -3.1231153224780885`, \ -60.03373166911093}, {-41.437415591010364`, 1.1761997257356032`, -62.17765881251611}, {-45.33921850397624, 2.762051283933833, -55.37611841199863}}]}, {RGBColor[1, 1, 0], Polygon3DBox[{{-43.34937795754031, -1.5372637642798588`, \ -53.23219126859345}, {-39.44757504457443, -3.1231153224780885`, \ -60.03373166911093}, {-38.66291382473283, -2.5966930128486907`, \ -59.70634032428617}, {-42.56471673769872, -1.010841454650461, \ -52.90479992376869}}]}, {GrayLevel[1], Polygon3DBox[{{-45.26268617526717, 2.5966930128486907`, -55.29365967571382}, {-41.360883262301286`, 1.010841454650461, -62.09520007623129}, {-40.57622204245969, 1.5372637642798588`, -61.76780873140653}, {-44.478024955425575`, 3.1231153224780885`, -54.96626833088906}}], Polygon3DBox[{{-43.34937795754031, -1.5372637642798588`, \ -53.23219126859345}, {-45.26268617526717, 2.5966930128486907`, -55.29365967571382}, {-44.478024955425575`, 3.1231153224780885`, -54.96626833088906}, {-42.56471673769872, \ -1.010841454650461, -52.90479992376869}}], Polygon3DBox[{{-41.360883262301286`, 1.010841454650461, -62.09520007623129}, {-39.44757504457443, \ -3.1231153224780885`, -60.03373166911093}, {-38.66291382473283, \ -2.5966930128486907`, -59.70634032428617}, {-40.57622204245969, 1.5372637642798588`, -61.76780873140653}}]}, {FaceForm[RGBColor[0.87, 0.94, 1], GrayLevel[0.8]], Polygon3DBox[{{-42.56471673769872, -1.010841454650461, \ -52.90479992376869}, {-38.66291382473283, -2.5966930128486907`, \ -59.70634032428617}, {-40.65275437116877, 1.702622035365001, -61.850267467691346`}, {-44.554557284134646`, 3.2884735935632308`, -55.04872706717387}}]}, {GrayLevel[0], AbsoluteThickness[0.6], Line3DBox[{{-39.73913510373477, -2.7932783002959605`, \ -59.10169128284006}, {-40.225785308543394`, -2.384148700203921, \ -57.82957387654331}, {-39.34680449381397, -2.5300671454812615`, \ -58.93799561042768}}]}}}}, AspectRatio->1, BaseStyle->{FontFamily -> "Helvetica", 12}, Boxed->False, LabelStyle->12, PlotLabel->None, PlotRange->All, PlotRegion->{{-0.25, 1.15}, {-0.2, 1.1}}, SphericalRegion->True, TicksStyle->10, ViewPoint->{0.4, -1.6, -1.}, ViewVertical->{1, 0, 0}]], "Output", ShowCellBracket->True, CellChangeTimes->{ 3.442595141328125*^9, 3.4456363435690517`*^9, 3.445640075318026*^9, { 3.445644921002571*^9, 3.4456449243989477`*^9}, 3.4456837446511173`*^9, 3.4457059034375*^9}, CellTags->"Section3", ImageCache->GraphicsData["CompressedBitmap", "\<\ eJztXXnUXdVVf7w7veEbknwZ+EKAEAokTA0UKGlI09IyT2EoDRSUkPZrAh0B pZploV0MasmSwioiDi12sF1VrEJrlgWRWo2d1AWtS6UWq0it37JVsRGapdd7 9tlnn33O3ee+c19S/KdZ697vvXvv2b/fHs8+973cd8GWm7a95e1bbtq+dcvK s27Y8q5t27feuPLMd95QHUoO6HQO2FZtt63sqNdlp2N21b/nHt6udvDmx68j X6+BP0kJNnzuYXgH5zfo80eqP7k+bY+uoqPdcsfGL3ZSfcEXHyzRIXDxen3x IXRx7l2MW5dGrNMjltOIAYxI+IjqnTPmlXrMMvUnU0enhDGZO6ardsDj5Xr0 DCFOqtHwqkdj9tLl6u0coByrB04LA9WVZdcV8QMSMSARq7WIoSBiIIj4PolY SCKO0CL6dGqKREwLIr5L180qEfBqFRMBRhsyC4CIsqyOGWG5EgbXPUvCVhKf Q5gwdEElDBxSkNghiYVLVO6qoKmheGH5D9pz1aHFCg8EWEscFEZOCHmSkBcR VCpAPcOkbDoZNv1ODZtTEQiM50CHVO2niciyMBE4vwBUNSJKeLeY2HSj2VT7 xMjTxkg1h+rVJLFZzNhkJna0CSYFIn21B7HfFkBzAp0m0B6BDimkFvohZUEL 9WpIr+DyfxSg+mqfGp9pqAmC6pF+kxpqgmJjkgCmCOA5AWCSdJkggCl6ZZN0 oAGmCGAomG0RQf2rALWAoIYEsEK9SjA7FcACAlhOwr5PBlxEIgYk4kASodj8 4H9NzFSWBYmLnHzREvcIEnskcYY8CAK9MESxi0msNfD/uGLh2FKiV4SFLaWB PYq8UseqOTHjBh3W0KDEWRqIxcW0CLb6DwXZfWI7FZZ9EKkOchaRnAFpnZHE Lk+HkESQcyIV0sJWGoqeVBep6mVXU66EIWUr4hSiktGVPSZMhYciMU2jJ9jo dTTa4uTC6KHap9oVdvRpNDoR6CeCnB6xmGFyNpIcCTsl7KVszOkedsrHEMpy NuIMtVO1p3Pw/u2k9uX1IirPcPQSdhRV2nHa4+ZvQdedz69L6LpqU60Wv/Ks 8JUT7pWvDV+5yL0S27uF5IJZdd72iqcwSSq7q4JVnbcpfpJfT9TuxUKHhcLD S//lKbWx/D3Rrx0ZDZwUB1Z7O3otqxNdk/p6dC6MztzRx/uVYIJGqz4DvaQG 9tyB2C8eTAMVzIswUYHepq7xMUfrMYfSmFRfWZZ6dGJm/Re7wmhsLw+j0TmN 7oXGwGyXsyw7nA5Y7Nwd7VW2b2kzWRFrKLiBdEb00fp1Ed9kwae6LNVzrSl1 5wXXPfM0GBwBjieOmiRMzbhZoLwVUEpACIZYJ5Ey1u6pIPnvyOqHlm7LqN7h lKsn2mee9sZiz7aOoLQWpZ3J6nh/K2gCDUJB7QwznsYMIm+kCcmqAb1BTwlb IAhLw8Igrg4W6E0QvaVkjp4gh88RKwQ5tgNdITArRjBbThpCowkBvjxSzhIm Z1ZgtpCYzbgadnU5tKOXEYtZGgPC5kzciD6USHGxSwVShwjx2I+UPctkLwnl jqfmCjZmhtQ8JhKRj4aZ5HBdd+JGH+yPNs3J1bBVC9dqP3D5rhwxZpXaw5UZ vHdZZAILlHgIKf+fgtgVap9pKnWxUrIexsRCsv57SGyqC61679Y1o/PL2OSE l9yy/lGzgcTvhcyXWlPUiuaRXG7C5VYWrPYw4N/UWVVUqlnV1VwVu6O0iBWC iFTtu1gg7zlujgrkXl1yOnSL5SBqFQoYqeWoIdXGOouNYb45gXXVIDtmg+/d HpJjEO4IbJxWNqIk7ph1bDIPjkndMXhnbJXHzFU+wT2PLN6evWw0ojT6FXr0 EYRd0JgsNOYEPebI8fhiX7e6jYVwzJrxEI/To492RzfbBdvAYxtZBi2EDeFx rfnaBTpmxPGRpF9Qe+it9J3iztrWzJ8nEfoOlT75+COMzQnEJmcKlT/cC6Ns PniSv0eSs5I1bZVoFI/F40QSn3riq03V1h/u9TJ7niQXIDlzJKN0I15nSuaX TbikcIV7CjxLMEM+o2kI1ec9/giMxdu8J5MXBySWlT51zbdJ4qQgMYW9y+Fw LfuVZKNhSPbTJHuhIDsRZOO8ss6VDdf8DQkzkzlvSPJI8giwXgB4smYJDlBE aoCW3yBY5y8IAO4bJnRjMkIsTowbSWwfQ5Ff9CUCmCaAQaRhjmR1xtw3otVy HerP1Z5uT8/R/eEYXTALjiERdkWfCFC76ewigpqK1OooVnEx22/b8HnYIMMe u2iuSwxg6JdZuTK+tzevF0SquJrNEx5utaGqBvxbAqS9syyljqTqajadYeky UClBSevXIcXKTKR2a3yoTEHhRRWU2hiotNS0d6WXROq3xp96rX4FQf21ANUn qKWRUEfzqEm496p3dU0t/NcF+KIWtOOUlWP81sFqPwAS7uV/JRCBEjkTKjqS HY5hiSrZIQj/lwL8sn3Q/lhGJBhwfYHI1wQih0VqzzuvCJN/VYCCpTOkf3Vi 686OwRSVxO7wuMiok9T9isBhOXHIFAWpZWgg4ik+FEC/JIDaj5oSBqosoN6l uGdE1Gtsro9vHW4Sg8WkNqBh5+oaoOOBtgqt3QLoQgLNCXRAr3C58vLW+v1Z aIJISas+2Rouwzvea/chlv40VLUBdLGCglcnM6iIaPkTQWyPosWKxfXrCa2N 9QUBICPeMwSwgQG0cvwTbFJHAEE8fixyYmv+f0xtkRWWMynmutM0wCv2wcWP s7EmNxcSaJ8s82oGFeFiSewkhab99gpqcFJrE0kAfeINH1TqopuVtHy87wOw qaPrGW4rz0u4KeHCR5xY89jiEoGrrcvi+uTx4oKBdxCIfZ6mF7UJx1UFvtq7 ovA+zyn7EDqcjTm2kAyfj0EkIrCeJE177QD0n5xratYAo9uoRJ9tD6iXxDkh mQ3fSxp+jQCHAmASBjzVAqYOYJM9v0JoE+3QTiFPdyFeaiurYJ8Ah6bGQOti Qt/1usd8Q2oSWLMCsyccMu1m8MZBg2NP5ZGkb90oKoYOZU1a/v0LpV2VSJOq E8H7ysXcd2F26SC8IZKHZslEm6zDv5k1DnxXoaMwA5qF6qeTTvxrcWPDpwoe c9jAJwL8HwXhax9pjYY/lRVADARtB0yGp++kjxcsq67A6vO1lOesYuvOKFYI X7GyhoLLLPyEAC9VoVHwaH8DmirQhED/0FW3fjenDQp4Hi9SBq+2KvCMkpAB nojPNaq7X4kURCQViHyWiEh3G2MrJBJZ1+j2gSICUfkHjaDT+xN0grT/HFlJ ugGyINLk6xioF2GTYG738ocZOQMl6bxwXHjJ48NIIlLo9YVjsfMBkntVsCSN R1OqRxLNYj/RtHETQc5OW/AqpVctiUTE0u8L8NL0nRGRJHwW0CIoxcbX70WS 6xI5Xls++Dhs1Vm1d1csHVop7R9Wfvelv7Fibqpjp/JB/DodIq9vHSsSMuQR QC0iqOoSpTwaQSN7ol4Vw0EKmM8IHGYJucugjP0zAZ6bICJKJVDe1nc6O0Hv PkUjwRtLaGqWJF/8r28dAxIhXVJSTqjsdMw9cuMVvMD4x6Hzmv1JZ8BsYe4U 4F+dr5ZT6tI4XdM4rXV8/m6QhhCz2Em7JsENzr0+hoYULQ+FSqpEwwvWnhCs nIgXrImC72nzxRHpCUSsO/qk/Vk+aOo14LghjfvOf8KskL/72XtNaKlNio2p xlIBJ87R+BuC8+4oJokiAq+ksJgQSsZOopESjfNG0PB6fwufEfzvjMhVL+7w Vl75H2+bU5tT0oxjOSsvIiQuBXH5dHi258lY51C9u8AHlaqDh9wn5E+FZi2L nIvIau9qf+4YRIaKCFzx8dAkhqIqIkU7Iq9uDA6doyYbGKUJso1Eid9vdDqJ AZDLODnYlPDzWxKqqDBCk4qQp+JHBWqJa61hpLXOYeS8oB2DUu0zAlbPdTLr Xkh/fDMWPz+sdHlrR61DrExeIS1412vwJeb4xoiFBxHDY6oCK3ITIYq2IQRW 9L/sYsx0dpgXvzHRgo0X5VALMsFa4zA094n5rU21ffqfytY8k9JMF7nAbtjg y3MZo0TjVgQQo2IALLqRXH6T9OLThaEhhdlEpOFwzn8tA6hotnLogzS2LxCZ bEfkdepP2gb+IwQ/EOCnGlyE2X8Gy/44yA83Qk5HanymD29r4JQA+ht03fCl A/31RtCFDcY9OwwkldFmoEWR2p3RDvTX6LqJlw70VxtBe6FjKHmf4R+g6yYF KCmDeWv0he/olgYytCGWJORfaUQGJek7nByv2qp3eh9SXKqrQSL3ExGYcsx/ HuQNBJoc/3OgzzWLZHjmuAx/2WVI9X43UM3KJ19DUYCEcyI8jCR31j6Rk6ag LhkSeCJLy9W7GJ8osBNLb53h2SMYepV6oPYQmPcLDBOWRBVBPFuRA4Jd2PMb KTuJ5CSRpvhXf0HAeWNQxGn2I5u/DDI/BGMLH9rxeBqkbKNANTeT1g0558r/ nj8GZTxWUVabJm+8/Z1vPIFcO517nWaYmbGjv8TQpIPbVPnxq7GMKgoF9Xh9 4+xtF6MpcQbKcNndICL36JLZi0jGfYExOrke1OPQxrPK0tVW5X+1h7O/VLM3 2KcnEJcSsaBqRsSpwkvcL4jmHgyYPhn/LuqMB5F25jcLjJ2lunFhDM2eEBkT YF5X2C84tUSn4zCScBpJ+CKfsJ1IB42RIBH+eWeajaHZjaS5aQTNoNMnQzQ9 u04FCfslRZc3T+TFYX5SHQiygrMLGo230xiryp46kUuiiUT4806SsjBECTuF OpFLRxBp5bE7BY8tClYauapcHiYkJWSQhjOj6B5oN7wLp2bqEKpevzGaS4SX 7hCMI/GbaPThZkYp2JP1xvMc3hau4OlLIo0tBY69PIZSEem7O4hIT7BNLKU3 jEEpwoW3Cy6UaE5H0rwsmmYrZ1ob9iPJJQK5S0eQ82bLLNLBsTaUSplEk1fS voYfy61Be0kFTHImEjmL9RTvfsx8C63uwkQgN2wkNxDIzUSSw4nvHOqoEkUu Ge2u2wR3SVZS/6lsN1R0jJvzCUpjoYR4r9zWqPhipvj8XtgqxdVeVPwiEpZF 2v39sM/oGDdAmFDGCcGmrsc838RsGZfJ71N7kDkUICU/FA003uDbItYV71V7 /CbNQ2vnnHDYLWavZCG+vGty2aWM5phJcwsFX6YIB+cT34IqSnEC1IGLpoN3 l4d5NXsxIfO9h0wPl+wh2Zam1BJI1IM0sWm50PVykFyXU/rk3Dfg5MfWYjd0 I5NS8e26Jk1DvMRjOXkeqZrXMuMIN4NhsW1T1HFDGZUScOodTjvo6wAidxu6 rP2BEDYFzLBWeJxuqzjoshFItaKp9omxOlg+g7079nqnL9qDZyslICFTlpZG EymQTLwz4+v7EFdonS4IBk3K2bBiWrEvdGGoc97uzB0Q7MDAd0EWZBoMGZmv WMoynznwyJndn3r2n9VWyaj2ALmd5E4IfLvBgpc5fI2Fr2RkRwRMg5k9sgPY uwZ/K42YEmjzhUVT/d3MJvCoAmIYIkqd15wQCAtGhLEbCPKE9iaRqRgFrmED AdBs00WCTXsN7K5i7FrWiRY+30b8Fjek1iifY4ieF5H/mInNHn+r4PGlAr+k wX5Xi5xGtCuh3G423WxUMOJE4Em5itGMzm5uxAimth4tF40YZHVuyKHJaB9u E3yYoaF06dsD72zcpXxW5VPmT4hsJFd22+SmNUuhOeAjJ/YYDsqXMOC/cJ67 hhFpdpZnoKEAf50Lz8yi+shlcCwz+BTiHUvjnJB3ImqqNLn6NNS7pSy0FQ0y xRaRQ0N6SS1Lk3eseXrj8mp2kWclyUX1tqnOIXVcVG3X+pZJxHJt7JE0+uk6 wU8SlyUyl62suqQhBrEesdbot2ZwITHoR9p+C40oGnEHwjGwEIh7s4a/hIRl rV2wheC75e1r9UPjKz1tHd4TojaksgKplTJCsBo0ywPzCafiElvTt7DQNKyk wBgKtSUn87xFs7nC7RWbfVJodQ1oEumTQgQd0xMKucxcIkHQlIFubt0Vw2MC 4OvwtpUYCPBpYxzqHlYv/iLK85DitVd+/WLxy4gwdtolInEo5LzkhMasB0M2 9qGbnoVgHgp07T3NxUS3UHQlazGmyHaOZUwrzw1YBa744dmKH3CUDGuZzhLT BJnaXN9DMyWzKfas+i5ZhIf77Lo4cvwLFeqwAlUPLCpTm/s143FWY7rZMi1E ph3zHztcauqxTaVnt7yR5GWtPdz3IlDRy9Uen2rxmWde8EacKTBdyZiWT3WC HtYdrb7BGOHhXogcVu06OcmMK+PNyPmN6Ws71faIaaGYwivbgLdw7jY2A0dM MR4DPFsxAHtJLvVYOR01dx/+FMPFke7LWxM5TyASMArnMqar2vOzNzpyza+K sNlIppsi3ceffBQX9PYmHPxgEEwJy4TwMmtH7lLdHTsfzzS5NGskZ+N8EzOt JlKy3wJaKpBLZeNxfmO6OQ1lpHcdxzC1Q2K/ZJTDGzgnja5PWwfkudROwgnz IR/+dJRHHH6WCZ6bn3kquDFxPQvYwM19KTaS1uxPp8awKDezFkHbXokqc9RN 66H5TQi65aRRJjvler92deynLUoXyR9J61Q8naVipdEElQqPbowKrlPe5k+d 7Qnb9IRGCD6snxGIDIRjJp7qKSvShEZEfblNx3QzpYgubXYfaCZyQCDTra2j VmqAJH594VgvyM8149s1uWtbk+M/AmCOrX7pCG9pTRh+dwCcY5/0urzBsyFy pu0MeBv5XdM6o2eJX7f87w/4K4rV+5Gza9B3aMI/GZnRy1mxdv6PY53zUY2c pWrVZ5xNEHRlOyPtqyPnXPujLnDC/ofc4v+J+FWtA1j6ARm81dZWhUw4Ngiq 4MbLOzX/N7XmvzjkArxPUykBr2yoHyTQTIPUM069NHdgu3C/2WWCOXpl6xyd 4UVPP2vF/E/zh259Hk9UeoBDCtLoKEptSaNEODYcT6MrGjWySTxjXZHyjkdn cl2VjFSxPwiifhlw7Rwfiex1123bP1G1QlKNYuxdWp3Nraf0hZ6DFCTmSF2r Lml1BLeHp5U6PO9NalAC6Ik/XEN1Ppxd+BnRU1xz2aFYJS5vnWXTggXg3VC0 QAd/VSagfCYo76unjk5jbjKV1WspWYf7YAkpFiJsMhWKimllE3h1eIMReoIR pPXaBGrGjWAMFE7yQrIEZcK7tfZvFLRPGkvVRCgOrM6rGnRWuswH19VNmnZD 18MK6wae2SnXRyhTk41+S0iHTB8zjKX2cjgOYzNZlfj5kWJzY7g04UxQsc91 wo30AFRTOLYggn0hsXdTECT8NJsMCg3odg6CHVcK7XwmsJPWQhJj36Y8B2we 4VjO+kqByHTDdDXlhgKJ31HqQu30HPN4ch7qdjuNpAzuxmh03WjrH472ttR3 kAopV2H33Y8axVnAx6rQi6G7zaPbwTmQWfqImqV3wLsd9e+9qJG7MOoNXelX u6UqI9Gtr2qI+Jy8MrFWPlAIrR61ZipndwA/9XaXFDSTZX0iaLo5EF4hyMoo QqjMm4mXNTtMYwcSL6PhDgicHXSXbRfagMXKlEBc8sLopc1I4tdS0QDDzxiH zzmesY/s4U+4NLGUkj49Cp8fiQqAcTNbsSdkcfxF+w79ynn9uWmpcKxb2mcR GSUG+0UJd33GAo0r4azib30eWr5Jmm66tdTGB8LlCmlCUMc+GcsLOesiNUzM FjV2PjFt4DxdHLOiM0ZpreyAsiUJKUtdwBzb8Dfi4TegvUgt3cd3myDtkgWm yb85+lfLn6fVwEukfI88bScNeDhmYpsP1xZU77QmC0iTvqeJetclTSYF1uEO d4Qm1wiapOTGTHAjPFm4RzrZOwluljI/JRSfu/DkLkhGMXCLH5nuOTtmZq8G K3TJn4VghQFZQXqoo/vEST5H62Nf3XEvhb2O4Pq0oYMg5YYgM+iFr9xQm0Vx k+pKH1Q99PUx/Uzd6TJOOVtvqxObTvgmBYVNz0HAsftdGa/JkLyn7gTNwQcX vUavSAHa2696wMj3yL0qTWlHlDhViSaekuNH2ztjPO20p+nU7hhA1tC3ZBxu 8PH2Aq3mx+8wqlSv4F2PHTMhMYB9zi2L2y5DbxdR2GW2xKg676w2yjLMGg7T V8v859HfzPh7rJfDvtYZFYIyEyHj90GNhKvB2u6AIrhaxPzyGXdpVf0zYe5D h+SceIzapFSdgOOTzU7JNXPsGsTwN2nMw6lZn1vr0W206AuMYVLpCSewHVIn 9GJt01V7mZNQubCTcj/WTMZQfzBP87A/n0wJet0S1qtHBu8RaepGzf9uquh7 C2ZQQJotew3JYokfNgbJwuSN/WYstpxF+ehlW8nOvq0hIaS6OQgkhBhHUbTh 4/WkvPd2fRMrKe30c9PNpUXmEzFSF63c02FSluHupF+ztw2UYQzxn2L2roir rQpao0JXEU8aOdPybAfZcgfdvBANP6wZnp0Yi3BP7fH/IxvCRSPhPplWr+hN BhrDWp4Zq4k0P8UFhUS1T7atvIZRYTb+pGNDdOBYFizZoWwS614/mhpOoBWh hGwH1PIgEffGWlW67OLO6Z140V0ZpnEzzSAF0QCzpM00gvPCcFwmP6v+5Brf MMnJIHa9LuXpoAyU82HIR9JnBQ3kfo7IJUQuU+QGIUr9ZjOZnqYjdGLAt4HM rURGm4pHcE7pp53npBVmYZBu0IKJy00K6/dqbvCMiB6ZB8O6g79tGUQOVtag 7+jejT//qkVnCQzepyndSeayxoFwwt7AzF0dPX91eHmq2yPgOJvzcPcAFgz6 MWSdX6QUyzz8xtoYNIld90+RWzxnIPJOqjEW2VuJ27wOLm8GIT8UpPMygYN+ WJh+3B0+HLjiULvv65eXXkj3XojGyjD43XSvMGOVpB6DZvaUdU9MzAdQ7nFR nF6UnioYAA32oHDtKgFUP9JLP7bRgmYhlDykWjC9JHsi6Idc0LQRVFLNdKcd WwnVdmgJtyBtztwXAqK75w211d6MXkFy79Jy7/dcVf/dE6oAQR3MOq7DupED CUg/3lE/OBcveuCoS+Aiq4qOd5KYNetjPbWEYO7RMA+42eXfASZlgjddrGz1 CYDOZv10U/2kZU8FQClIopSnhWCeaeKtH0SrHx3t9Yt6bcHjKA3Fbk/AgMUN iNS273xY4N9lCWrqrlXCNKF4By6oHeXPfP0S9ElHP+M8tY7nmMCiK+Dylt0k k9WY4nKeJhF9TLtKP3Je//cho7GEHASWFM4FU3eJQsrOmlqBZD5K0151lbc+ xJrfpGtqgkxrqJ2JP8GROxoy7WyJyFA4j3U3MvV60968eFAjfMLStknq5pEj AntvzwYo7JNiCNaJevPsx/ToT1EESTU2FajY6PyEFvHb6k9wBrIfKOQ08LfY wIgVsv10xYsbG5z6J2Wc39cZJdGvUl3BxCj2oZDYvEbKaIW/NJQ6eWH80bFf IyE2GkP/RBKMekQf4D+0ZmjhqVL92f7j150D/g+Aam6N\ \>"]], Cell["\<\ Application: Saving the MIR space station, by Michael Foale, astronaut and \ physicist.\ \>", "Text", ShowCellBracket->True, CellChangeTimes->{{3.463919722489451*^9, 3.463919739012723*^9}}] }, Closed]], Cell[CellGroupData[{ Cell["Throwing a discus", "Subsection", ShowCellBracket->True, CellChangeTimes->{{3.463078121206918*^9, 3.463078148710821*^9}, { 3.4630782554398937`*^9, 3.463078262782249*^9}, 3.463566762665009*^9, { 3.463566822764751*^9, 3.463566907963891*^9}, {3.4638468577155046`*^9, 3.4638468598968*^9}}], Cell[BoxData[ GraphicsBox[{{ {RGBColor[1, 1, 0.6], PolygonBox[CompressedData[" 1:eJxd22k4Vd/fBnBUIkMiQ6ZmaVAoqQw3hVIiREgZkqlE0U9FRFIhpaiQRFKG JirNSYUU4pjPvPc5p5QkFCE96//2edFVn+usvffaa6/he79otm+o0+4JYmJi 4uRPBPmHBPn7ts01/c9LaaT/tbCaGyKCtkMb6wUxt2jyBi/iV6+VvS4Q2/i9 jM8i7vgVWBFAfK/KdbCFWD+5S7iG+E9y1RX5fSLIBh/8Kkv8s2Igaj2x/hur d2w9Gr6hrLRY4vapW/+7TawoG8p5RFw27e7fKOJ3ald9vhOLmn222xKvc/TU mBsqgnThobPKxJ75V2TciLV1xLJ4S2gIFzoZphCfXzkpqpj47cqws6+ITSdk GIYT92z4Oqef2FnsReUaYt9pD3rmhpH21bI+1YtpVMVIzj1BLEFtCU8iXhoV efYB8d7m3Z6biX+zpAxp4uB+s/LGRcTZXjPM94vAfTRz9lnip53yO4OJpxyZ 6r+ZeMisrCODeJOl+8HqhTRebisJ/Uq8W7MFccQrInuSlQ6IYFhwlb+GePTc MNuE2Do+oKRYl0Zqwca5ScSnnj9xj15AQ+dWo4FWuAiC9Xk8PWKFq96jIM73 CwJHh8bNsPARH+Kr2t0JJsST3/29fJ04tqfN4Ms8GnrX37tqRYiw0ffn4XPE pldTPqwmdnA6m2VMvKw4/aAL8fm9pbvj59L4a+welESczuiaP2UOjbj6CY1f iY1CYlYUzaaRf9nsu9hBEeb5eWiuJw4eT7ZQIfZfpnEodhYNjpRTojnxuy37 fCltGhP6/p45Qawa+EhtvwaNw12bk74TRxgoSQ6q0+DPTH0yRPzbX5R1kHhb vfSI2H8irNCMexYxg8YX+aI7CsR/fNJZvqpkPKnNonnEczO6Xo0rkufn2qTO Ij50IHDlXmJTy4xPGv+7fifbtWMajajh6fNUiJk/518sVaDhE3RnfDLxd9+v itbyNIrST8bzyPMXha9bslKahrjOjRo/4heu31xSpWh8WrtD25HYuMpuiXAy jUWhxxJNiZM1x7mpkjQ86mYmKxBXJhwNbJ5A49DaQ/63yXhVNFguUh+ncL1K a+9T8j0eHV3z+fZPCj0/r/2aTebDPY+Yf919FAIVJncMkPm1fzLz1zziBRfi vr0lXldw/eilXgppNdQNP+KZ8fT4vm8UHNYVB2WR+az49eLgZwEFmx2Zq7hk /TVrbpo5oZ2CnqvArSGIzK+wzV4abRSOfgg8lEisNqCaYNhKYU09s86MOHx6 b/QOBoWVum1SxYEiTJebYljYSCHbdt63QwEitHRYciRqKfTPkffo8yPzW0nx x9cKCvHjtQdsvEQYcmqKEj6iIDu7X/zzThG6g1v+cR5SeDjxTEMicemU/N6G cgo5hyNmvd0hgpiJ3b78uxTWGWYXGXmKIKlhtFTtJgVrmyD/QTcyPr//xlpk ULCjMkz5jiK8Oc8PV0+nsLp3QXEQ8dY+r4CB8xQMDga4/dwiQpj8Bvv8cxR2 HfWNHHcQ4aNy2tzBZAoFJlFVU+1FcKzXXRwYT0Hr0q6b8htFSH0wWH5hH4Vn 72sSYyxFiClsP2EYQqE1I0CNthCh5ICY0ac9FBKunq23IT57o3yJVBAZ/9+6 12UgQk1JfkrwLgoX7XzFkk1F+Dq9MuDPNgpX1WuKvY3Jfsfd67fWgoKf9OMp QUtE2Nz7ofCFOYXZayMCyhaL0KmdzDA2o/C0vOz7yCKyn4zyv+uuoZAUdSLy 9EIRBj1kDMeXU9AJWpN4RYeMz5YZHgcXUGBd2f0ya5YIStPt1mfKUcj3nK/+ R0mE6zbbe+RlKbxa9VB6JXGz29TS41Mo3AiJtDqgSObrw6/RwZMpjOxxvvJF QQRetXqonjgFmRUVXR/lRPjkHvXt1CAfgtJFL8Ini7BSfq9YZhcfhsWFh01H hPhzJ/hpfwcfG6dN1N/1RwjX7VeyN7Xz0Vr3zfj0sBB+jataRxh8dJ/RN2P8 FuJe8mt9h3o+atUPzvUaECLtorqw8RUfF9YWpLr2CBFzjaW3ooAP18nK/u/Y QozvWTbRPp8P8T1nHlaxhCirLvzmf42PNQq7LF4xhbBONerLuMKH7ltH6Ued QhxYsI77JZ0PjfIjYVmtQlweiGryPcGHc1B+m3m9EPYnpg0V7+aDUvo9Z/iZ EIeMtk++tYuPymOe4eynQiQms9YU+PBxp+CzVNUTIfbe6pTL2sHHY/fyiacr hEgfVYqIcuFDzWDmBvlyIaYwpd8pW/NReuu7ze8icj9mSV7pXD68L/tFmF8S wkSwY2bmbD7KL6/PVbwoBN1zrSthJh8NOzbNEqULUWu5SNZDgw+DGxN0ks8L MfnSyT2jinykR/nb1p8R4ukxqavqEnzccJBeY5gghIT/w58NXB4aPrE048KE yGNtsipg86DTsO6+RagQyfLunw8xeYjWvFT4L0SIpRcsZ89q5yG8P+Bh1B4h fqw1OejfwMO3aXEhe/2F2J3/Yz7jOQ9SUzMu6nuS7znz+6B+Jg8RhiabbdYL 8enGvZVql8jv1fYnpW1Ie5m6vvF0HgKv/bT4aCXE7wuSn+rO8bDUQ23FlrVC uKSKNnie4mHjiOscJzMhpnuXXPSP5GH7Hn9f8+VC7Do/wVTThQfO85CMp9pC vFSsSxxw4uGx5kG3fVpC3Ni6y6NuCw9yvzkFszWFaMuaf/U/Ox7OGWgyE2cI cZZ/ofD9Oh4ym6ZVb5pO+uv0Xt/DkIfhyl7WK2khovzesXWn8tCYbGfnPCiA 5Y5XkVWyPNwM7sli9guw5M3ZzO1TePiopx+866cA68tCI1Mm8cC75pCyv1cA kym3dzYNcaHXWfL15BcBtBeIOas2cdG822RfDksAU16+sfhxLgQqPUn73gqw 8OCYzIwYLsRbFSo/Vwnw9cYaTf3DXBwfOXrc+7UAe4+M/toeyoVue++jLS8F qHF+8rB4OxeUpxdr8WMB9AwXXpu/gouJLSeP15cIwN8ZOZol4GDM7J776/MC 1CeYDP7kcnDm28upG9IEEEpvDtrA5KBCViy04awAi6YPfxxo4iBl/blFXSkC 5Hu1ZFm94sAya/G174kC2NWYbW3M5MDianH7xCgBPu5uvaKdwcHIk367xMMC 3BxaHxFyjoN16xz3Tz4kgKTP7hbpkxyUBNfXSh0U4KC5xhGzCA7kRnVfTA4l 9xdkeqfZc9DSKpAf8hUg4M2jOV22HMQHmOeH+5Drjd0S51hzYB5W+PWHlwAa xW0ry0w42Hx8zpXPngK0bj+5o16XA/G/TikMVwE2P11SOyDBgeoUpd85GwWo rdNeZjzOxsR/yZNVbAUIiXHdeOQPG4uktVvOrBdAp9U2/98PNo4HK16LthLg td/CP5JsNhT303LbzAXwYmzeKF3BRt/RjIv/DEh/0rXDvcvYuG591ilKX4Cc 82t2V9xmY6XJ0ubfSwXIOP6uyK+AjROyDVrfFwvwLXEt43kaG/u+Pe5rmy/A 8iWndiueYSPM+x9jyzwBsivH3gecYsN2cdPRujkCPAgSyinGkv5xknRezBRA 7HPnNb+9bGwOTWzLnUHMf0Y/DmBjTbfrsKqaADIry8XldrGxbPMV+qyKAOad LowH7mzUXRpVjVUS4NWiyz0S68n7+K+X2C4nwKbE832Zs9kojVdZJi0uQK9O aHCPJhsjVZrTY/7RSJFZ0WSuxkbsrYja/r80lBf0BNHybFSuPH+NOUKjecXm z4vHWFAsalErGaSh4nP989EhFhZNeRyvPUAjybye3djPwlQO92XaTxppY9Pu hXez8Eg18m5kL42xqEyZZ20syL7Qirb8QqNBuaZTtpkFC6eY+HIRjYVBDwp3 1rOwga+2c76QxkpHK0uJtyxcOxh5UYqiodY3e9rWVyzEuf0ZOMwjdZunkeDG UxYW9+nrfuPQeFMcftn2Pgudu81U6pk0xs91RmWXsjAv7NMnsy4a+nbf/L/f ZCHrZMauOx3keuNTbmlXWUjONVQ620rjhae9D53Jgr7ae/1/DBoHLFf+Z5RB rk+V1w1tJnW3Mr+2M5kFz5q5N+wbaSwOZq+qTmSBblObeaWehn1mzPOyOPL+ si9Cuj/Q6F9i4JIbzYKqW1Layjoa/275TEyJZMHo8UjS8VoacsnRHw4dYCHB 6JTHp2oaYht7S3aHkPsJSsW03pHxUDn1ErtYWBZQ0PzwNakTe04NLNnJgm/O nn/ilaSuX3Z+vbo7C90fyibav6Shvkzh+eStLOywGKQyn9MYMAh1+mXPwmbn 4izhUxrRERqytC0LyoEOSwye0DizMO7rJysWXvXsuBxdQePuYdkfL0Ge776F W/OQRkX8Qo3ba1iINcwTV3pAcsw2q7BsIxa6Jnz4t6OMxrfx2h+n9cl47N7Q desejZKIudmHFrNwYPhC2sAdUufefBUeoMNCYKCujvltGhZHpKNcZ7NgE3zs 8qkSGvdf7y2z1mTh7nOV7uYiGs+tXTSMVEl/Fvirad0i7SuXVsxTZOFzdLdO QCGpi1l+J6fLsVB3UUP5fgENh1W7zkyUYmGmeyQ9kk/mn3dG3aAEC6fuRZ63 yiPtGf4Wwr9M/Hf+0pzUXDIfxdb1tQ4zIfHXMb09h4yPVQazeoCJD79nf5l1 hcbe3toJj3uZaE2N1w7OIu+72ja4qJuJQFavcfll0r8tcQrZAiY+j/NXjF2k kbiZNZTCZeKhVruydQaN4yvfzY7tYmJqoC3zzAUaH/4Vnt3fykT39Acn2tJo 7E7qWev3iYmPvueVZ56jQV8XM9v2gYnyS17JAak0prpCxvw1Ez/6yxcNJ5Hc Nw+UwXMm8N7AxeI0Db/eikk6FUxsFCUHnDpJQ2nwhfHU20z8zq2yVkugUXD8 SajwMhM39J79WnmUhkz4zGbmBSZ851/ZGxNFY76yQ0pzKhOFXkaN7w6T3CRd Jvc6gYnNMrHuW/8jOWzL1L35YUw4RP06GxZKQ1fD7kH2HiYeZGkfqAihoaWb 45Xhz8QJP/a68T00MpxmCk97MhEsJfM4OZCGWf50RuQG8r4j9/pu+NCwWr5w Td06JrjnGrulvcl8ebJGXAtMqF8ZaQ/ZSXKwgaj8jRET2TelMoy2k9zosPWD 8lwmfAwn57zdSuNHmY3THm0mnown2+o608BN17WvZzBx8Nba3mRHkgvLdvju U2DCMaxjtrM9yWF3P7+u/9sFbeNiU/56st6uF97X+dMFFZuqh1Y2NAzdc5SO DXbh/HTDRbesSA5VeWG44lsX7o2USIZa0nBTP/M3r6MLr4LlM8fWkPUtafsm vbwLJ789i1JdSubb8ws7f93pwpTilM4jJNd/VDOKcS3uwqEM8dUcksNLLP/Z q+d1oVRhz3gByc3mKWtdb6V2YbXN2juGJLfayF0b4gR1IW7BkhH76TR6Ltl6 vZzVhaDR/gmpIxRuuZT+aNToQqKn//vGYQqPftRYUypdOGadnTttiAK7qmmD tFwXcj7ZHssYoPA7/VmT959OjF5+MutqD8khdgmLjJs78Wjep83lHApdH0tf udR34mbp1u2/WaT9aSWDg7Wd+FZ+OW41k8Jg2Yo7j1524jt7h3olyXHmp0Sr rEo6kbmlKanhE4UKm1W1SQmdMDj0pa2vikLozJLaithOzPNfXGr0mgLTN/+Z 8Ai53715+UdeUSiLKIyx2t8JDr2yf+JzCi3Bd3PldnZiidMrfQ2S07QeLo1v NO6EUcmei/Ykh3lqi+/Q6OnA9wWbjrSQHNW3csw+9nMHbkh77dRJovC19MNW AdWBOyYr9h86ReFk2b9r9zs7kDpvfJ7WCQoe25y93Gs68MdAvjkwhoKYve9Z Tn4HqavoIun9FG7vOpBU69EBltal5AhXCpHfKwMdXTtQOrhAr34rhRQJmeNM xw4Ue5jI6jhTCH91LGxgQweecl4kdDiQHNoa4Gho3AHNjSN7LGwp+IcXm31X 6gD9weOwpikZP58jlt4N7Qjhr30uNYeCpthR3R117fBT2cY/MYtCiN/4uu3V 7UBQzIYJM0nOc3XT3P6yHRquRzjjGhRO79kaEnSnHYU2Dsv/KJMchmb/16nt qLwX2TQiTUG833b77i3tECXl+K3o5+MKnVicZNeOS14SsU/7+Hg+nGh3f0M7 Ci79EVn84KNsZ0KKhGU73h2Ykmffw8cuoZ3KQ4N2bDl6rSZExMeSqR+1tyu1 w/u/B3rPSO5a/0Xc+357G9KnLWpOf8PHS9/t2uWMNiT37lktWcVHkW3QmUeN bTjwc770oUo+VJTnx1fVtEF5wjva8wUf+q/Shb0VbdgiOZq2uIKPp0oxqVmX 2+Dab7GCXcyH3ruemdbb21ASdjsz/Twfv9O61WO3tSH24OBnpTSS60Iqu586 k+dFnCm9cJaPUwaYvMquDYaLA7PSU/h48dnYa4NZG47nXpl+JZGPxhiV0KqZ bVCjDvBfH+Fjzocyp7miVkQkrn6/h+Su/mczprdRrfD9wrdS8uUj6W3n6SRu K/QnGi1/5k1yz4mCjOGOVvy4tDRIdicf8ydJW3d/aMV+s7vrHriRnHfywyOt slYMVp8am2FPcplyTkhHbCv4e8reYjUfy8UbrN5Et0KloNP4tzEf8lLx3XcP tyJnn5zu7ZV8zPaJupoa3go5de4xzRUkR+o0f/AJaMWWXAkt8WV8bLqZyvRy aEVMar41NY/kQseDA69mtaL6ZGKC5DSSixv2/L2l1Yrlhtwp5VP5kCh9b5Gu 3oo2u7Jl3vJ8rFS3i9w/vRXOow6uz2VILiwyeW4j1QrOOrU50ZJ8bI2aG7yj rwXljs+l1Md4cNh9zdWyqgV3eYV3mz7zcO/+KpPwVy2IWFL/6ryIhxVhRyNu Pm+BU4DLka1CHua5bviiUtGCaSOjPzopHgx3+36bVtoCqZ5bn3tILkzn+kw7 fLEFs/RmuC1v4cF9aI/NtJAWXH1y/67Vax4exZX8yApuQamb3ezZlTzsUH/+ QyewBUPDLMvxlzy8vSc7ZL2rBYdvz0t7SnJiW8Beo2vu5HkWc/abPCbt10hO rrZpQcOS9uidd3kImNB/mjmnBTbzRr4svspDTprc1vuzWhBjyGjWziG5LzXz 9GntFvxi+h9UvMKDz9+g1ZbqLQh16BaOkty5sfPy8/ppLUg/FxPdnsHDtOmu LdvFW9D2dGfl/TM8KARWmG+hGHAtbc0ePMrDoYag4HQeA/Sb0eypxC/X1VZ2 cRg4anHPanE0D2LNRj9CmAzMmpJ/zu8ID3PMQnbeaWHAxP6uGvc/HmrzvPiX ahiQ4mvOGAzloXh0ykqFuwwUFM3ZkuvLg+qn2uis2wwcUPKta/ThoSfjwohO KQMHG+oHxIgrrR9fsSli4N9g/9bdXjxMNRtJuHadgcnMzy4rPUl/46MMXl1m gOGdevQPyb3pVSzz4gQGrKjk8kkbSe7du7Hc9zgDtccn8ExtefhyYFuDVjwD twqC+BEbeJCoef0nO5YBuzjhrs825P4pH5c9PsKAktaHkDaSg13nCHeH7Wdg k5J4NcuMh1l5avucwxg4mZezfTaxpoXnnNWhDBwKyXnvb8qDd4jLOdkQ0v/E 7GWDa3hQLLmbxAhkYGmJy8IZq3govRtvQnkzcP2EsngKydWsribdPi8Ggga3 GnEMyHwo4VSLEftcWWptQFzx0VJl0Q4GNjccHO5cxoMU/Z90jjsDF48Ulxnp 8SCq9jw80ZkBd8/0XBVdHqoeXJ3OXM/AyyvFObHaPDinXauzJXYrsNswpMXD 0qqF3Kc2DJgfdqwIJTao85pXYM3A4w1TaF9NHrrlZsy9sI4BzggrwkmdB/Ww d3I0GFhffPqqqwoPm4pynkUSR2x+cbVLmYegXT/eyxNzj7jt9iJWMA6QsjJn oO8LbPZM56F57c6pH0wZCNs/2yNFkYe+bwvcN61hIPH+P3pAngfKO2mGJHHP vFy3BGIT7dcmb1YzMDH+cIYy8azA7zesiKUkNweukeNB59V3Rb9VDKy54X/w jAx5/7nXaQPix4ZtS+cRBzvlqUgQV93fdv/ZFB5KpG5eLzJmoN1peNp3aR7M E/55KBP3fIqycpfiAVIL8HslA5XD621/T+bhDk94opP416U+1XTi2jPWJjeJ 5atXKTVL8uCfvszGi9i3wCph2ySy3q4+hjPx1OKMrpGJPHSmiF+xJXbVjhu9 SpyqxIo2I3ZPi8/pnsDD1dQmriXxRvvrfqckeJihqFG9gdhBzKxqOfHIGf8h R2K3uWtorjgPW1VH1uwhNnt/J3QNsZy66eYo4iz2ZuYXMdLff+HFZ4h/n8id cpl4omu59RPir7sdgn7+42Lc7d7xZmKfG1JeW4n9d6XK9hJrH37FejzOxcyS 5vHFZDw+rX0alviXC5bqokB74r/H1p/8McbF169WmuHEH2k/HQ/ixRp5fm+I bXI548tHuVhm3TjcS6zmGLfq+ggXi0Kz2jXJ+Nd1WowqEb+9NiS2mfj3EaxP /MOFjwszIpZYTy1Xc2SYC43o1csfEH9ZGRcVStwQOcn0G3HiuKSfaIiL6TMN z84j33/tKse2ncR2z+8v8SZe4nCsueM3F1fk/pt+lVh7ywO3rcSDVmE2HOJn 3bJBTb+4UJFKq5pF5tfOvUUTthCfC6s9tZtYo+6W7qdBLmplJDNLiR9cXNjh SDzetWrgF3Ha5I2KrQNcODk7XLI0YeDpwIJ2d+KqHcYnzhI3MXg6vH4uDLdx nnOJparSxAOJwxUMzA3JfNc8si3g508urBs0pE8S27vbu0UTe9gmaXGId+w8 3yJF7H0nIMrYjIGohWBd7ONC7OrVOReI7cdCQ3WIBUtmKP0kpp4gteIHGU+6 0s6RrK9CUe2qjcQ+r2Iay4kDb80P5fSS99M3yVYj69G2OtQggthck3M3lvjZ rcpYGeJDTHu5buJodwOPgu9chJpElG+1YOD08a5Kc+Looyvyq4jnhLeUd/Vw YdGv4X7DkgGJkRlQJX7UIztbfS0DNQ7p7RXfuGh2W2KQRiz95fmYO3Hc9ISF iWT/yLI98D3/Kxe6DXHTJlqR/bBr0RNb4tL6VZYJxBzT7mn93VyUHNgWmUz2 n7k/64LXE++bf+yoItmfBhVV9wx+4eLuKkFdNrFh4dPhfOKKK11rHpL97HGJ y/OJxM9zq/dM2MhAtaFQ1CUi4+165E0RsfQz66BU4uD7m2qdNjHwU/XXq3XE zzee6ii1Y+BE14Wv5UIu1DImycc5MBD739+VxQIuPNdueG+6hQELw4k79xK7 fVfRHyXeFT7grk9sNjPuX6wT+X4XGj69oMl6UTmaW+RC9sfaZc97KbIeZsy4 f8SVgR+1K1NeESe4x+6138aAgXiuwXniO+HPuH/dyPgWvBszJc4yNr8f7Unm c869jFt8Lm7WeNT+2UXWf/+BrnYeFwr6Uu6//BiQ1A2cVE2clrr37MBuBi5z 7CQfEX9bY9IzFEDOA7vfp7OJD4x+3zFrLwPld3Uyo4l9u+dzf0Qw4Jhr3HGR +NNUtVvK/zGwomHmrnzix7o/pplHMnDmhPjbu8T+L/5WXzxM9vc/eZM/ESdx Nt8OiCHr/8/HDB3Sv+DTnVonTzFw7OT7msWk/1dSmjZWnmagxNZY6Ehc0PLr +WgSAy++x2cfJk7acSb08BkGOk6mNNcTj7p7Tzp3nvS3AUGnyfjJKU+8vTCH gVWO6Us3k+/RO2vT5JNXGdAfj2hJIa57XZgnymVglBmo2EBceWRtRmk+AzkN tq4u5Hv2/4na53yLQea92th/n7mYVFecJfuArM+/zLuSZL5lL837eOYh2X8U LzZ4EXNtJq+eVkHW+/UVCU+Jg/QKX2k/ZaBY8K48gszf/ONFh7dWkvFouD97 jMx3qZvNGxfVMyBWvmzuNrIepynmZER/YWCfg8+YKdmvgod/XA3+SvbDzMLU FuLDCzSMt/cw4JRaMRJC9ru9FS+mWfUx0I1kr0KyH/a0+3ivGGYgxm3CNj2y 3/pO1KdSpVqwfSnVbUv29+axb7YLFregsPVsgzc5fzq0VGX89Vqg2xE9sY7Y MKhp/c1lLah1kZ63gpxfE8bcDQxWtCDfJnGmDDnfPiV7l/makXqv++bEt+T8 E3TPaDfZ0oLsPSF7fMh5aj2Zw3od2YJwj93Pbcl5npES0rj2SAvc5b+H1RMf iF09rTq6BUt+HJRwUuUhVuJ5LCOuBV+bh57tUOPBRuzFoHRKC8ZHCxNiSX1Q JpqbK7jWAn1Fy009pN7odx5v3/SxBSnG2zOCSD1Se3Vwk3JjCxgf516VWkjO 84icIV5TC3b4cWJuES94/K0/pr0FWaLImq+LSP2gmb2rlWrBY2PnsMOkvjFt WB/97U8LipE7/JLUS2I6s+lHC1uRpSxxqZvUX31aThPTlrSifYbSq4vmpP67 1jy2d1kr6i/X51iB9OfPeNgio1bEDlyMybfg4YhqhtMzi1ZMGeio9Sf13Rbn dztWuLUisPGQxzRSH4rLPM6IOdWKxheLTL9vJb+LDVmeTyZ5RKNGcI/Ulypt GXduppL2Cw6bH3TlkXwz/K49vRW6x7wnirmR/srv7LDLa8WdEIlWre08xB94 QJ1+2or5Aau9jpB6ltMpq7+xtxVPtcaePdzHg2x67nXmz1YI371IySP18Ubh QenQX63wnumnkxrGw9/57JvZY6048MexPOgAD4fNJJVkZUj+27lpySJSX8uG HXq+QbcNBffe7PxE6nP3r0Zyi/zakHHxWdddUs9LPtOpGQpow3nHm5YPUnng HW52rNnThremNwKfnOXhnatk657wNji23/n1Lo2HDXR4RF18G5bnNU74QvLB 5A075rDz2hA9d+MdB5I3zo99iNzCb8MHxprZJSSP3L3hcmWasA1liyQVHtwj 9dVDamXLlzb0tVXnvLjPQ4ysfd2OvjaEmczOaC4n9VamzZb4f20I/yXWM4Hk m1nBUZIK2u2otpgjlkDy0dJO/0hjz3bUF5Z9HmriYXHe9FPzvdux99N3w+kM Hl6ccOqb7teOItWc6QYkb631yHwztKcdR3vMsva28WBWMupeH9WO9dPqCr92 kXp6aF1wRXY7jnteTZQQ8BDtk7rwGKsdanft/XN/8zCJ0X8tnteO16Z//tYM 8eCIsXWJgnZc6ozV+jlM5lvYEum0HuIzkgNWozwsSjE++GCsHb96jfv6/5G8 kPdizECrAxPXlA0GSPNBW+aIi3t1IJ33fvEDTT6KhX/lF+zqQCN9d/l3LT7y mwd07QM6kLjc+6nOTD7GTEtjckM70Bzya232bD7CArIy7I91wL/8zaokHT52 Lhs6z87rgPag2sFYfT4mrDj2oULYgTvS3zXeWfGx6JJctsfXDti42XovtOHj i/+/Y+O9Haj/XbI0dT0fLz6yk2yHOzAWNhjgvpGP/5yUDvRM6UTG1CuWvx34 sK9rCfLT74TvE5XVttv5KKpZ8kEpuhNfzTNCHQ/w0SZjx247Rpznpl8dzkfK 6B1m1olOTN+/Y5/JQT5cD3dfmn+2E/PNTnsvOMRHNPXui3V+J/TsB6ZNiuEj KeDnq3u1nThi22vXfpqPk6tk2uardGGJS5RJSx4fTR733O+pd+ElW49tdp2P 9r3HT5jM7EJXhhvvZgG53tO6yVm3CzczH0ofvcnH0UN66ilrurC6m89ZfJuP Y8sfHlL36sLAoKt19mM+BlOmZRXe6sKf0mvnXjbyodrsMLrudheqbEsfLG/i I/fMBD7/fheGq8aWFjXzMbJ4k9HMZ13Qny82P6OVjx37m/m59V1IVLwku5/J x3So2j/u70Lczl+HV33mI7NC/5SZGRO/Uto2TPjHB2+6bOPmtUxkn770Il+M At+GSty5nonVZ+clrZWgwD13f12cIxM3bKt1j0+ikHfH6P2H3UwoqmmGSslS KE62eBmeysTbmh0Vc2ZQ4Kw44J90gYlb3PawGnUKGlUegXmXyf3W5x3Zq0mh qSoq/FM+Ex7ZOFoxk0LDcZ0Ywwomgg5FGDjqULgto6E9icfEJ6r62/nlFASB WWWzhEyMLojdb2pEIUMq/LTpVyZUJw5AtJKCZY3LcMQgEz/y5z9cs4aCvoPw /hcpFoK/eAyILCi8dlmuLynPgrEw/f75tRTerp0nnKvEgm7x4wfmVhTOBCh+ 99JiIUSXcfLSegrub5TtugxYuD0scrazpzC4db/rn5Us1LyRWDLiQOH0yYfJ aqYszMo0sL7lSMGwbMb+bTYscLKZqya5UPBoMBlv82AhMZVWrdpOkXyv0ck8 zsL5t1c2rA+isNVYvefGKRaeHEs2YwVTWHBdSyHsDAvMtXF++/dSaOQEJU68 xEKl5nebK6FkfJiZU5YWs+C/pcxp8CAFle0WCcN3SPsX7z4mRVJIeeY+6U05 C8NRDw/OPkyhdpLmDLcXpH+3Lzg5RFNgVO7cHf+JhcvlS/Rux1OY5aH5x66V BZ/3E5WsE0j/Tz1NUu1iIftM8jz2CQqbjzTml9Is/I6Wey93mkJCKV8n8gsL A09NtxcmUYjYIlNg+Z2FzfXxqkih8L6LmdD2m4UTs57J7j9LYaGZtujaKAuL Z/GtpqRR+CR912SPGBs/95+4cf08hX9D/S//SbMRO+Mepy2DzJdSy6/v5dlY zA56FHaJgt2A8qR0JTb6GqQeTsmk8CQxcaKuFhsTbnvOxxUKoydfin7OZiPu idXFzhwK3cfLy5/psFG84tCSiFwKLj7Lg08sZkP90rnP8nlkfsrKSjvos7F6 y4KaonwKqw/JnFUzYsOhurXOqoC835V/I/zVbOS5GvVzb1C4eOjRphJzNpJc uKZRNynYKI7HRqxjI1M+pFiliMKx/woumm0g7d9GrikrJu2fRKZKbmaDef9y z+ZSCmlD1v6Njmz8nRxU2X2bwuGtbM3Lrmy49sU9PHGXwtUxmfve29ngJkd/ mH2fgnDetdkLvdnwHvgp/rKMgrZMYMhPPzYSjKPcPB5QsP1tcOFJEBsD3vcb fj+kwF75MS1uHxt7wvT8LlRQUF8wKdA2nA3WzlNq+k8oeC4umT7tEBvHtLZ/ +/iUws6ylIsd0WwMZZizgp5TOGl0qCc3jg3P4g9fJV9SMFptqhyQyMYuo2yV glcUlDffnLo0mY3wKTZelq8p+Mme6ho8y8bLX35vOVUU1mjfjniWzob783PW 0W8psIyErLhMNtw0fakZ1RSklf5N23CVjW8f92dV1FCwjn+vKH+djf0xbiEu 7ynM3KHEYdxk41LXHY+BOgrxSSUHMkvZ2Jcg55v2kYLpC4mBuY/YUNGzeVHf SOHGLsneT09J/y25fbuaKOTqdd89+ooN2qTfZKSZgqpF4/G2Wja6qv+pLGij UGqUfiG+ng1Nc+PCF+0U0oue7V7azIZ0gO+mrZ0Udkx+ZHeCSd7HS64tjkXh 1vRNXvo8Ni5/e/9UjUPh+ufqZUwBG6F5A+V3uWS9NA9N0u9l4+bHyRSboiA2 LAhoE+NggI6fY9JNIXCi68bYSRx43RjObf5K9ovQJ/wFUzgYyq5fGtxDITSa s+iQEgdrmXKxmT8oPJu9bbKyDgcuN5Zzh3+R/clH4cCzRaS9/g/WuSEKFhof T/ks40Ctf+SL7h8KzKiWh6WryO8OUYvcxyj0SPT1mm/iYMQncMNTCRot549n UQ4cKGT13naaSONR5dLuE1s50FryUPvbJBo+8932fNjBgfnqqFma0jS63Zto xzAOagMNsmKm0hhMHD3VH8GB2S8xB9VpNHKl3WrPH+Zgo7OY7D1FGmP6xtOa 4zngq0jm8JVpyPofLd2UwYHp9gMK1po05v/SndidycG0OZPG2Fo07G8v+H7i KgeeDx71/DeTPL/v3r6XNzkkH35n3ppD46LSH4VFTzno+PldJLuQhr9Cb9dX DgepVY7urUY0PnOUFgtoDharBsinGdP4UaAlYH3hQO+FRZXdahrBl5H8sZ8D m/eb5r01pVEz71BigSQXvy7Jvi1bRyOpQ2fIaCkX7RZZE8860li/PFxv/nIu Hp5Zs2ejM43wr5aPlFZx4cKvq53kQuNYZMuTXkuSgz5W+0e70ag0YPpcceGi KOfIrCAvGp01seMt0VwYbNqqZRFC47qsxaPHcVwML9j0eGQfDXEFp+LsRC5+ O3ivfRhGQztSZOl1jot1+T9nL4qgYSZtIsW+zsVsB0lxpSgaETZ5L+7Xkdxa +aSJd4qG69BkTaYMD0GhN7YGFdD4tffuRRWScx7+N+P8hEIae2S0ixwVeHjk 4lCec5NG1qD2herpPDQph+Q2FdP4EuO2t0SLh59JQUqr7tPYpWL7xHsZD3tm 2Sj+e0FDrP7mj4NOPOh5Li890E7DTU/e5TrJBcNpYrlSnTTujfMsPpEcsOut RNDVLjKfVG4V6ZK6P5JSiXvPpnHtZs09xi5SN17OeKQloCEjJqeteJAHf62P 3Bd9pH2Bzusll0h7C6+ILmkBDhyu0IvM5CH/wIqJKTICxGrlDVVm8zAnM8nF TE6A8nld15yukZw2792aXAUBuK/3rtxXxMMSXrW4t6oAkUbjXSee8VD/o316 6zwBelaujDLkktxySeHraZDff963D+DzoPW9/7GhpQCXsl4GZ9MkJxW1rWau FWCh5r/D4l94mPa9wmGxjQDFltvot308PCk6+rLGToAjZl+cdSX4GHq/1uyn uwD7Nv3ZtGMeHx/dZfZNiBBA4rLy7DBSt8r3dE7KOiiAluEiw3hdUje9odfp Rwrgv7B3UsESPmZ+EdzbfkSAo7PqdnFW8HFbyWrtnWPkfsLGQ3rWfBz5T4Jn eUaAWyvTlAx285H4w+7PzEIBrGL/bl4UwIe6/NbY4pvkfq6eZXOC+JDl3MhZ USSAqm7lb4UQPhyeH8hbXypA79PmnXQEH3uHK54ElgnwsCXa0CuB1OkBJ+ov vhRg2pS1C+7mkzpUKHkmt02ABMlbSXtJ3UlzZz6T6BCg9Fn/vIWFfDQmrTu+ u1OA11dOjuUW8dG5wpm3kCVAteTA4oR7fJQpL397m0/6f/TcUp2XfDzabvkl r0eA7tOz6PoOPvw/mjiulhDCZtMC1/1dfGxYNUXz7AQhxAzG+pVYfHD0Xf8T TBSioPvILVcuH7MVNDvOTBYi4FflUJOQj6gYj/VMWSHWnK1qzO3nQyGnJcVb VYiur9PKM2QonLqoGqW4RIgD9dq55nJk355lPf+gnhCFDpxjInkKn7+ZoH2p EK3Hzs9drkhh/+DPykwDIdZ73e54pUYh53Jcn6qxEHNOXMwsnE9hsnn1rWFL IZqmelsXmlNYWWf3YcM2IQY+XpugR+rCWWnedy67CWE6QbGozJLUNQ8HBj+7 C8FcVnfzKakLfU3USxI8hXjmHxf4YiNFcoT4/Uc+QrIfnL90xpXCbKdzn8b2 CLEqVu+1Swg5R6O+N8sfE2JUkSmXt48CXK2OGcUJof7Y3OMbqeNO+Wllb48X wjCE1xd9gEKwrqFaYYIQD34XyKaTOm52Uf+CFaeFqNhYWZEWR+qg4eKdK84L cSep+2FtOgUqIdz4zXUhlN2dvAZI3fTuss+U9gIhEujb45qkbpLV/mP59YYQ /p3K2iGkbrpur8SRvyVEc0xBu9hVCt7RCVVbSoX4zzns969CCkke28UrHgjh u0r59/THpM7O+ZUo806IngWeeWqkjohvdQmQrBZiV0yqlQapIypjjxWL1QhR 9frlfi1SRzw/YOM2UCvEUq0cb+VKUqeOKm9q+ijEtmdXtjPIuR/ds8EjtEUI nobi0kRyLn/WHE0ypIVQOyfmF0jO5TS0Os8QCNFRczXJtoNC9UO7Q/+Ii5hK RVJdFLbPWMV4LxLir7HC/CNscr9XUh9cv5L7zSv4tlBA3kfP+YLjTyG2cJc5 P+sjdZrRm+nvx4VQ4B+KTv5J5sMSjYel/8j8Yst6efRTOO+5IuWsmAibyvUc BgdIXVJVwnaSEEHNWb5VjZy7/DNvJT9NEuHaKxebeX8pVKhImRTIihCfYrNx nRQNB5nP8WUzRAgbdl7+lTjT0zohWl2El70ajWfJucr/w3pgrSHC4prZ2u1T yLm4oS2/VVOEFZWTlF3laCR6NpV8mynChJwAKJNz9fHcUsu++SJI9t3adUmd RvZEo8keBiIYBAnFZDVopIgmNv0lzt8fHxlLzCrcxL1mKELO8ZA+X3LuJu+9 WitYLgL/sYS8pjZp/3Jy3a6VIkSV9fJcZ9OQWvF7t7mJCEGbMyY/Ia5Z/tmv jbguemSSOjmHo7NFN0JMRVAezzvdQTzeEf0900wEt8XcovXzaNg9lDzbDRHc nevX9OqQc8lCZ8zPilxvw242W0AjNVNW5iex/HonyxRi42017tHWIniMaefN 16Wx7YvBo3M2IsyTNQ3eSM75qtElAfc2iJB6YI2S52IaD45QKR/sRBh5Yiqd STz17dHTmzaL4Gh/oaWFOHof9aaOuGnBhG8blpD3v5r8s9pehE+z/JXn6tEw 4IrrPdoiwu6F37fm/u//C701mxK2VYS9GrL7G4j5V5UsfhJPHRRXGyO2/HEu br+LCAVzTSSdl5FzmBbqhLqKQH0+7PuD+NSft793uolQvJNmKOqTc27ntRMd xCu5lY0riNVv92s7uotwW/yufwQxZ0tQGDxEcGpyVKCIo8ZKkhQ8RbgY49Ty h9h5yDYonvh+w7E5CgY0hJMsHQeITS9v2rGK2H3SfdPmHSLoHh/aFEl8PePz 0QQvEZazXnkfJz6qm329lzi8J/nfGeKZb640bfMWQbtsDvMq8cE5U2wW+Iiw zVx2yl1i/XTtM099iXPv7fufKa+mn5q7RPDZuGnHHeICya4dMcQcs90dN4l3 h/y3ydxPhJ/xIr984ol3Gz9eIXaQ8Y3KJpZolHYZIVZ9t8XmNPH6vjuHy3aL IHv8/chR4rRmvrKcvwi+OetX7yd2djnx2J9YUbRrqzPxnbX3FVQDRKjVlzFY S/y6d0J1CHG6Qt2lZcRbXm6Pe0P86PaNCZLEJefKpPcGiiCn2ij1g4zfvpUx bS+J/wtZeLmNuMj6yy2FIBGq5z6//5w4taH9mA/xc+2zLnnEhXordt4n/veg +HgCcauM0EIsWATNu6qm/sQBO5t17Ynj13NjbIiVAwTK2cRxi2Ts5hNLPZgg 9ZnY5r8b1yWIv86c8c9gjwgdTx+f4JD5IWiSG40inj7i0P+Y+KbZh9G3xLdv /tedRhw510Rcbi+Z70Wr9gQR651bL7OVuNolPxLEFuyuGVnExf9Vyk8n/nCP u4RL/P//v9z/AdzLEbI= "]]}, {AbsoluteThickness[0.6], LineBox[CompressedData[" 1:eJxd22k4Vd/fBnBUIkMiQ6ZmaVAoqQw3hVIiREgZkqlE0U9FRFIhpaiQRFKG JirNSYUU4pjPvPc5p5QkFCE96//2edFVn+usvffaa6/he79otm+o0+4JYmJi 4uRPBPmHBPn7ts01/c9LaaT/tbCaGyKCtkMb6wUxt2jyBi/iV6+VvS4Q2/i9 jM8i7vgVWBFAfK/KdbCFWD+5S7iG+E9y1RX5fSLIBh/8Kkv8s2Igaj2x/hur d2w9Gr6hrLRY4vapW/+7TawoG8p5RFw27e7fKOJ3ald9vhOLmn222xKvc/TU mBsqgnThobPKxJ75V2TciLV1xLJ4S2gIFzoZphCfXzkpqpj47cqws6+ITSdk GIYT92z4Oqef2FnsReUaYt9pD3rmhpH21bI+1YtpVMVIzj1BLEFtCU8iXhoV efYB8d7m3Z6biX+zpAxp4uB+s/LGRcTZXjPM94vAfTRz9lnip53yO4OJpxyZ 6r+ZeMisrCODeJOl+8HqhTRebisJ/Uq8W7MFccQrInuSlQ6IYFhwlb+GePTc MNuE2Do+oKRYl0Zqwca5ScSnnj9xj15AQ+dWo4FWuAiC9Xk8PWKFq96jIM73 CwJHh8bNsPARH+Kr2t0JJsST3/29fJ04tqfN4Ms8GnrX37tqRYiw0ffn4XPE pldTPqwmdnA6m2VMvKw4/aAL8fm9pbvj59L4a+welESczuiaP2UOjbj6CY1f iY1CYlYUzaaRf9nsu9hBEeb5eWiuJw4eT7ZQIfZfpnEodhYNjpRTojnxuy37 fCltGhP6/p45Qawa+EhtvwaNw12bk74TRxgoSQ6q0+DPTH0yRPzbX5R1kHhb vfSI2H8irNCMexYxg8YX+aI7CsR/fNJZvqpkPKnNonnEczO6Xo0rkufn2qTO Ij50IHDlXmJTy4xPGv+7fifbtWMajajh6fNUiJk/518sVaDhE3RnfDLxd9+v itbyNIrST8bzyPMXha9bslKahrjOjRo/4heu31xSpWh8WrtD25HYuMpuiXAy jUWhxxJNiZM1x7mpkjQ86mYmKxBXJhwNbJ5A49DaQ/63yXhVNFguUh+ncL1K a+9T8j0eHV3z+fZPCj0/r/2aTebDPY+Yf919FAIVJncMkPm1fzLz1zziBRfi vr0lXldw/eilXgppNdQNP+KZ8fT4vm8UHNYVB2WR+az49eLgZwEFmx2Zq7hk /TVrbpo5oZ2CnqvArSGIzK+wzV4abRSOfgg8lEisNqCaYNhKYU09s86MOHx6 b/QOBoWVum1SxYEiTJebYljYSCHbdt63QwEitHRYciRqKfTPkffo8yPzW0nx x9cKCvHjtQdsvEQYcmqKEj6iIDu7X/zzThG6g1v+cR5SeDjxTEMicemU/N6G cgo5hyNmvd0hgpiJ3b78uxTWGWYXGXmKIKlhtFTtJgVrmyD/QTcyPr//xlpk ULCjMkz5jiK8Oc8PV0+nsLp3QXEQ8dY+r4CB8xQMDga4/dwiQpj8Bvv8cxR2 HfWNHHcQ4aNy2tzBZAoFJlFVU+1FcKzXXRwYT0Hr0q6b8htFSH0wWH5hH4Vn 72sSYyxFiClsP2EYQqE1I0CNthCh5ICY0ac9FBKunq23IT57o3yJVBAZ/9+6 12UgQk1JfkrwLgoX7XzFkk1F+Dq9MuDPNgpX1WuKvY3Jfsfd67fWgoKf9OMp QUtE2Nz7ofCFOYXZayMCyhaL0KmdzDA2o/C0vOz7yCKyn4zyv+uuoZAUdSLy 9EIRBj1kDMeXU9AJWpN4RYeMz5YZHgcXUGBd2f0ya5YIStPt1mfKUcj3nK/+ R0mE6zbbe+RlKbxa9VB6JXGz29TS41Mo3AiJtDqgSObrw6/RwZMpjOxxvvJF QQRetXqonjgFmRUVXR/lRPjkHvXt1CAfgtJFL8Ini7BSfq9YZhcfhsWFh01H hPhzJ/hpfwcfG6dN1N/1RwjX7VeyN7Xz0Vr3zfj0sBB+jataRxh8dJ/RN2P8 FuJe8mt9h3o+atUPzvUaECLtorqw8RUfF9YWpLr2CBFzjaW3ooAP18nK/u/Y QozvWTbRPp8P8T1nHlaxhCirLvzmf42PNQq7LF4xhbBONerLuMKH7ltH6Ued QhxYsI77JZ0PjfIjYVmtQlweiGryPcGHc1B+m3m9EPYnpg0V7+aDUvo9Z/iZ EIeMtk++tYuPymOe4eynQiQms9YU+PBxp+CzVNUTIfbe6pTL2sHHY/fyiacr hEgfVYqIcuFDzWDmBvlyIaYwpd8pW/NReuu7ze8icj9mSV7pXD68L/tFmF8S wkSwY2bmbD7KL6/PVbwoBN1zrSthJh8NOzbNEqULUWu5SNZDgw+DGxN0ks8L MfnSyT2jinykR/nb1p8R4ukxqavqEnzccJBeY5gghIT/w58NXB4aPrE048KE yGNtsipg86DTsO6+RagQyfLunw8xeYjWvFT4L0SIpRcsZ89q5yG8P+Bh1B4h fqw1OejfwMO3aXEhe/2F2J3/Yz7jOQ9SUzMu6nuS7znz+6B+Jg8RhiabbdYL 8enGvZVql8jv1fYnpW1Ie5m6vvF0HgKv/bT4aCXE7wuSn+rO8bDUQ23FlrVC uKSKNnie4mHjiOscJzMhpnuXXPSP5GH7Hn9f8+VC7Do/wVTThQfO85CMp9pC vFSsSxxw4uGx5kG3fVpC3Ni6y6NuCw9yvzkFszWFaMuaf/U/Ox7OGWgyE2cI cZZ/ofD9Oh4ym6ZVb5pO+uv0Xt/DkIfhyl7WK2khovzesXWn8tCYbGfnPCiA 5Y5XkVWyPNwM7sli9guw5M3ZzO1TePiopx+866cA68tCI1Mm8cC75pCyv1cA kym3dzYNcaHXWfL15BcBtBeIOas2cdG822RfDksAU16+sfhxLgQqPUn73gqw 8OCYzIwYLsRbFSo/Vwnw9cYaTf3DXBwfOXrc+7UAe4+M/toeyoVue++jLS8F qHF+8rB4OxeUpxdr8WMB9AwXXpu/gouJLSeP15cIwN8ZOZol4GDM7J776/MC 1CeYDP7kcnDm28upG9IEEEpvDtrA5KBCViy04awAi6YPfxxo4iBl/blFXSkC 5Hu1ZFm94sAya/G174kC2NWYbW3M5MDianH7xCgBPu5uvaKdwcHIk367xMMC 3BxaHxFyjoN16xz3Tz4kgKTP7hbpkxyUBNfXSh0U4KC5xhGzCA7kRnVfTA4l 9xdkeqfZc9DSKpAf8hUg4M2jOV22HMQHmOeH+5Drjd0S51hzYB5W+PWHlwAa xW0ry0w42Hx8zpXPngK0bj+5o16XA/G/TikMVwE2P11SOyDBgeoUpd85GwWo rdNeZjzOxsR/yZNVbAUIiXHdeOQPG4uktVvOrBdAp9U2/98PNo4HK16LthLg td/CP5JsNhT303LbzAXwYmzeKF3BRt/RjIv/DEh/0rXDvcvYuG591ilKX4Cc 82t2V9xmY6XJ0ubfSwXIOP6uyK+AjROyDVrfFwvwLXEt43kaG/u+Pe5rmy/A 8iWndiueYSPM+x9jyzwBsivH3gecYsN2cdPRujkCPAgSyinGkv5xknRezBRA 7HPnNb+9bGwOTWzLnUHMf0Y/DmBjTbfrsKqaADIry8XldrGxbPMV+qyKAOad LowH7mzUXRpVjVUS4NWiyz0S68n7+K+X2C4nwKbE832Zs9kojVdZJi0uQK9O aHCPJhsjVZrTY/7RSJFZ0WSuxkbsrYja/r80lBf0BNHybFSuPH+NOUKjecXm z4vHWFAsalErGaSh4nP989EhFhZNeRyvPUAjybye3djPwlQO92XaTxppY9Pu hXez8Eg18m5kL42xqEyZZ20syL7Qirb8QqNBuaZTtpkFC6eY+HIRjYVBDwp3 1rOwga+2c76QxkpHK0uJtyxcOxh5UYqiodY3e9rWVyzEuf0ZOMwjdZunkeDG UxYW9+nrfuPQeFMcftn2Pgudu81U6pk0xs91RmWXsjAv7NMnsy4a+nbf/L/f ZCHrZMauOx3keuNTbmlXWUjONVQ620rjhae9D53Jgr7ae/1/DBoHLFf+Z5RB rk+V1w1tJnW3Mr+2M5kFz5q5N+wbaSwOZq+qTmSBblObeaWehn1mzPOyOPL+ si9Cuj/Q6F9i4JIbzYKqW1Layjoa/275TEyJZMHo8UjS8VoacsnRHw4dYCHB 6JTHp2oaYht7S3aHkPsJSsW03pHxUDn1ErtYWBZQ0PzwNakTe04NLNnJgm/O nn/ilaSuX3Z+vbo7C90fyibav6Shvkzh+eStLOywGKQyn9MYMAh1+mXPwmbn 4izhUxrRERqytC0LyoEOSwye0DizMO7rJysWXvXsuBxdQePuYdkfL0Ge776F W/OQRkX8Qo3ba1iINcwTV3pAcsw2q7BsIxa6Jnz4t6OMxrfx2h+n9cl47N7Q desejZKIudmHFrNwYPhC2sAdUufefBUeoMNCYKCujvltGhZHpKNcZ7NgE3zs 8qkSGvdf7y2z1mTh7nOV7uYiGs+tXTSMVEl/Fvirad0i7SuXVsxTZOFzdLdO QCGpi1l+J6fLsVB3UUP5fgENh1W7zkyUYmGmeyQ9kk/mn3dG3aAEC6fuRZ63 yiPtGf4Wwr9M/Hf+0pzUXDIfxdb1tQ4zIfHXMb09h4yPVQazeoCJD79nf5l1 hcbe3toJj3uZaE2N1w7OIu+72ja4qJuJQFavcfll0r8tcQrZAiY+j/NXjF2k kbiZNZTCZeKhVruydQaN4yvfzY7tYmJqoC3zzAUaH/4Vnt3fykT39Acn2tJo 7E7qWev3iYmPvueVZ56jQV8XM9v2gYnyS17JAak0prpCxvw1Ez/6yxcNJ5Hc Nw+UwXMm8N7AxeI0Db/eikk6FUxsFCUHnDpJQ2nwhfHU20z8zq2yVkugUXD8 SajwMhM39J79WnmUhkz4zGbmBSZ851/ZGxNFY76yQ0pzKhOFXkaN7w6T3CRd Jvc6gYnNMrHuW/8jOWzL1L35YUw4RP06GxZKQ1fD7kH2HiYeZGkfqAihoaWb 45Xhz8QJP/a68T00MpxmCk97MhEsJfM4OZCGWf50RuQG8r4j9/pu+NCwWr5w Td06JrjnGrulvcl8ebJGXAtMqF8ZaQ/ZSXKwgaj8jRET2TelMoy2k9zosPWD 8lwmfAwn57zdSuNHmY3THm0mnown2+o608BN17WvZzBx8Nba3mRHkgvLdvju U2DCMaxjtrM9yWF3P7+u/9sFbeNiU/56st6uF97X+dMFFZuqh1Y2NAzdc5SO DXbh/HTDRbesSA5VeWG44lsX7o2USIZa0nBTP/M3r6MLr4LlM8fWkPUtafsm vbwLJ789i1JdSubb8ws7f93pwpTilM4jJNd/VDOKcS3uwqEM8dUcksNLLP/Z q+d1oVRhz3gByc3mKWtdb6V2YbXN2juGJLfayF0b4gR1IW7BkhH76TR6Ltl6 vZzVhaDR/gmpIxRuuZT+aNToQqKn//vGYQqPftRYUypdOGadnTttiAK7qmmD tFwXcj7ZHssYoPA7/VmT959OjF5+MutqD8khdgmLjJs78Wjep83lHApdH0tf udR34mbp1u2/WaT9aSWDg7Wd+FZ+OW41k8Jg2Yo7j1524jt7h3olyXHmp0Sr rEo6kbmlKanhE4UKm1W1SQmdMDj0pa2vikLozJLaithOzPNfXGr0mgLTN/+Z 8Ai53715+UdeUSiLKIyx2t8JDr2yf+JzCi3Bd3PldnZiidMrfQ2S07QeLo1v NO6EUcmei/Ykh3lqi+/Q6OnA9wWbjrSQHNW3csw+9nMHbkh77dRJovC19MNW AdWBOyYr9h86ReFk2b9r9zs7kDpvfJ7WCQoe25y93Gs68MdAvjkwhoKYve9Z Tn4HqavoIun9FG7vOpBU69EBltal5AhXCpHfKwMdXTtQOrhAr34rhRQJmeNM xw4Ue5jI6jhTCH91LGxgQweecl4kdDiQHNoa4Gho3AHNjSN7LGwp+IcXm31X 6gD9weOwpikZP58jlt4N7Qjhr30uNYeCpthR3R117fBT2cY/MYtCiN/4uu3V 7UBQzIYJM0nOc3XT3P6yHRquRzjjGhRO79kaEnSnHYU2Dsv/KJMchmb/16nt qLwX2TQiTUG833b77i3tECXl+K3o5+MKnVicZNeOS14SsU/7+Hg+nGh3f0M7 Ci79EVn84KNsZ0KKhGU73h2Ykmffw8cuoZ3KQ4N2bDl6rSZExMeSqR+1tyu1 w/u/B3rPSO5a/0Xc+357G9KnLWpOf8PHS9/t2uWMNiT37lktWcVHkW3QmUeN bTjwc770oUo+VJTnx1fVtEF5wjva8wUf+q/Shb0VbdgiOZq2uIKPp0oxqVmX 2+Dab7GCXcyH3ruemdbb21ASdjsz/Twfv9O61WO3tSH24OBnpTSS60Iqu586 k+dFnCm9cJaPUwaYvMquDYaLA7PSU/h48dnYa4NZG47nXpl+JZGPxhiV0KqZ bVCjDvBfH+Fjzocyp7miVkQkrn6/h+Su/mczprdRrfD9wrdS8uUj6W3n6SRu K/QnGi1/5k1yz4mCjOGOVvy4tDRIdicf8ydJW3d/aMV+s7vrHriRnHfywyOt slYMVp8am2FPcplyTkhHbCv4e8reYjUfy8UbrN5Et0KloNP4tzEf8lLx3XcP tyJnn5zu7ZV8zPaJupoa3go5de4xzRUkR+o0f/AJaMWWXAkt8WV8bLqZyvRy aEVMar41NY/kQseDA69mtaL6ZGKC5DSSixv2/L2l1Yrlhtwp5VP5kCh9b5Gu 3oo2u7Jl3vJ8rFS3i9w/vRXOow6uz2VILiwyeW4j1QrOOrU50ZJ8bI2aG7yj rwXljs+l1Md4cNh9zdWyqgV3eYV3mz7zcO/+KpPwVy2IWFL/6ryIhxVhRyNu Pm+BU4DLka1CHua5bviiUtGCaSOjPzopHgx3+36bVtoCqZ5bn3tILkzn+kw7 fLEFs/RmuC1v4cF9aI/NtJAWXH1y/67Vax4exZX8yApuQamb3ezZlTzsUH/+ QyewBUPDLMvxlzy8vSc7ZL2rBYdvz0t7SnJiW8Beo2vu5HkWc/abPCbt10hO rrZpQcOS9uidd3kImNB/mjmnBTbzRr4svspDTprc1vuzWhBjyGjWziG5LzXz 9GntFvxi+h9UvMKDz9+g1ZbqLQh16BaOkty5sfPy8/ppLUg/FxPdnsHDtOmu LdvFW9D2dGfl/TM8KARWmG+hGHAtbc0ePMrDoYag4HQeA/Sb0eypxC/X1VZ2 cRg4anHPanE0D2LNRj9CmAzMmpJ/zu8ID3PMQnbeaWHAxP6uGvc/HmrzvPiX ahiQ4mvOGAzloXh0ykqFuwwUFM3ZkuvLg+qn2uis2wwcUPKta/ThoSfjwohO KQMHG+oHxIgrrR9fsSli4N9g/9bdXjxMNRtJuHadgcnMzy4rPUl/46MMXl1m gOGdevQPyb3pVSzz4gQGrKjk8kkbSe7du7Hc9zgDtccn8ExtefhyYFuDVjwD twqC+BEbeJCoef0nO5YBuzjhrs825P4pH5c9PsKAktaHkDaSg13nCHeH7Wdg k5J4NcuMh1l5avucwxg4mZezfTaxpoXnnNWhDBwKyXnvb8qDd4jLOdkQ0v/E 7GWDa3hQLLmbxAhkYGmJy8IZq3govRtvQnkzcP2EsngKydWsribdPi8Ggga3 GnEMyHwo4VSLEftcWWptQFzx0VJl0Q4GNjccHO5cxoMU/Z90jjsDF48Ulxnp 8SCq9jw80ZkBd8/0XBVdHqoeXJ3OXM/AyyvFObHaPDinXauzJXYrsNswpMXD 0qqF3Kc2DJgfdqwIJTao85pXYM3A4w1TaF9NHrrlZsy9sI4BzggrwkmdB/Ww d3I0GFhffPqqqwoPm4pynkUSR2x+cbVLmYegXT/eyxNzj7jt9iJWMA6QsjJn oO8LbPZM56F57c6pH0wZCNs/2yNFkYe+bwvcN61hIPH+P3pAngfKO2mGJHHP vFy3BGIT7dcmb1YzMDH+cIYy8azA7zesiKUkNweukeNB59V3Rb9VDKy54X/w jAx5/7nXaQPix4ZtS+cRBzvlqUgQV93fdv/ZFB5KpG5eLzJmoN1peNp3aR7M E/55KBP3fIqycpfiAVIL8HslA5XD621/T+bhDk94opP416U+1XTi2jPWJjeJ 5atXKTVL8uCfvszGi9i3wCph2ySy3q4+hjPx1OKMrpGJPHSmiF+xJXbVjhu9 SpyqxIo2I3ZPi8/pnsDD1dQmriXxRvvrfqckeJihqFG9gdhBzKxqOfHIGf8h R2K3uWtorjgPW1VH1uwhNnt/J3QNsZy66eYo4iz2ZuYXMdLff+HFZ4h/n8id cpl4omu59RPir7sdgn7+42Lc7d7xZmKfG1JeW4n9d6XK9hJrH37FejzOxcyS 5vHFZDw+rX0alviXC5bqokB74r/H1p/8McbF169WmuHEH2k/HQ/ixRp5fm+I bXI548tHuVhm3TjcS6zmGLfq+ggXi0Kz2jXJ+Nd1WowqEb+9NiS2mfj3EaxP /MOFjwszIpZYTy1Xc2SYC43o1csfEH9ZGRcVStwQOcn0G3HiuKSfaIiL6TMN z84j33/tKse2ncR2z+8v8SZe4nCsueM3F1fk/pt+lVh7ywO3rcSDVmE2HOJn 3bJBTb+4UJFKq5pF5tfOvUUTthCfC6s9tZtYo+6W7qdBLmplJDNLiR9cXNjh SDzetWrgF3Ha5I2KrQNcODk7XLI0YeDpwIJ2d+KqHcYnzhI3MXg6vH4uDLdx nnOJparSxAOJwxUMzA3JfNc8si3g508urBs0pE8S27vbu0UTe9gmaXGId+w8 3yJF7H0nIMrYjIGohWBd7ONC7OrVOReI7cdCQ3WIBUtmKP0kpp4gteIHGU+6 0s6RrK9CUe2qjcQ+r2Iay4kDb80P5fSS99M3yVYj69G2OtQggthck3M3lvjZ rcpYGeJDTHu5buJodwOPgu9chJpElG+1YOD08a5Kc+Looyvyq4jnhLeUd/Vw YdGv4X7DkgGJkRlQJX7UIztbfS0DNQ7p7RXfuGh2W2KQRiz95fmYO3Hc9ISF iWT/yLI98D3/Kxe6DXHTJlqR/bBr0RNb4tL6VZYJxBzT7mn93VyUHNgWmUz2 n7k/64LXE++bf+yoItmfBhVV9wx+4eLuKkFdNrFh4dPhfOKKK11rHpL97HGJ y/OJxM9zq/dM2MhAtaFQ1CUi4+165E0RsfQz66BU4uD7m2qdNjHwU/XXq3XE zzee6ii1Y+BE14Wv5UIu1DImycc5MBD739+VxQIuPNdueG+6hQELw4k79xK7 fVfRHyXeFT7grk9sNjPuX6wT+X4XGj69oMl6UTmaW+RC9sfaZc97KbIeZsy4 f8SVgR+1K1NeESe4x+6138aAgXiuwXniO+HPuH/dyPgWvBszJc4yNr8f7Unm c869jFt8Lm7WeNT+2UXWf/+BrnYeFwr6Uu6//BiQ1A2cVE2clrr37MBuBi5z 7CQfEX9bY9IzFEDOA7vfp7OJD4x+3zFrLwPld3Uyo4l9u+dzf0Qw4Jhr3HGR +NNUtVvK/zGwomHmrnzix7o/pplHMnDmhPjbu8T+L/5WXzxM9vc/eZM/ESdx Nt8OiCHr/8/HDB3Sv+DTnVonTzFw7OT7msWk/1dSmjZWnmagxNZY6Ehc0PLr +WgSAy++x2cfJk7acSb08BkGOk6mNNcTj7p7Tzp3nvS3AUGnyfjJKU+8vTCH gVWO6Us3k+/RO2vT5JNXGdAfj2hJIa57XZgnymVglBmo2EBceWRtRmk+AzkN tq4u5Hv2/4na53yLQea92th/n7mYVFecJfuArM+/zLuSZL5lL837eOYh2X8U LzZ4EXNtJq+eVkHW+/UVCU+Jg/QKX2k/ZaBY8K48gszf/ONFh7dWkvFouD97 jMx3qZvNGxfVMyBWvmzuNrIepynmZER/YWCfg8+YKdmvgod/XA3+SvbDzMLU FuLDCzSMt/cw4JRaMRJC9ru9FS+mWfUx0I1kr0KyH/a0+3ivGGYgxm3CNj2y 3/pO1KdSpVqwfSnVbUv29+axb7YLFregsPVsgzc5fzq0VGX89Vqg2xE9sY7Y MKhp/c1lLah1kZ63gpxfE8bcDQxWtCDfJnGmDDnfPiV7l/makXqv++bEt+T8 E3TPaDfZ0oLsPSF7fMh5aj2Zw3od2YJwj93Pbcl5npES0rj2SAvc5b+H1RMf iF09rTq6BUt+HJRwUuUhVuJ5LCOuBV+bh57tUOPBRuzFoHRKC8ZHCxNiSX1Q JpqbK7jWAn1Fy009pN7odx5v3/SxBSnG2zOCSD1Se3Vwk3JjCxgf516VWkjO 84icIV5TC3b4cWJuES94/K0/pr0FWaLImq+LSP2gmb2rlWrBY2PnsMOkvjFt WB/97U8LipE7/JLUS2I6s+lHC1uRpSxxqZvUX31aThPTlrSifYbSq4vmpP67 1jy2d1kr6i/X51iB9OfPeNgio1bEDlyMybfg4YhqhtMzi1ZMGeio9Sf13Rbn dztWuLUisPGQxzRSH4rLPM6IOdWKxheLTL9vJb+LDVmeTyZ5RKNGcI/Ulypt GXduppL2Cw6bH3TlkXwz/K49vRW6x7wnirmR/srv7LDLa8WdEIlWre08xB94 QJ1+2or5Aau9jpB6ltMpq7+xtxVPtcaePdzHg2x67nXmz1YI371IySP18Ubh QenQX63wnumnkxrGw9/57JvZY6048MexPOgAD4fNJJVkZUj+27lpySJSX8uG HXq+QbcNBffe7PxE6nP3r0Zyi/zakHHxWdddUs9LPtOpGQpow3nHm5YPUnng HW52rNnThremNwKfnOXhnatk657wNji23/n1Lo2HDXR4RF18G5bnNU74QvLB 5A075rDz2hA9d+MdB5I3zo99iNzCb8MHxprZJSSP3L3hcmWasA1liyQVHtwj 9dVDamXLlzb0tVXnvLjPQ4ysfd2OvjaEmczOaC4n9VamzZb4f20I/yXWM4Hk m1nBUZIK2u2otpgjlkDy0dJO/0hjz3bUF5Z9HmriYXHe9FPzvdux99N3w+kM Hl6ccOqb7teOItWc6QYkb631yHwztKcdR3vMsva28WBWMupeH9WO9dPqCr92 kXp6aF1wRXY7jnteTZQQ8BDtk7rwGKsdanft/XN/8zCJ0X8tnteO16Z//tYM 8eCIsXWJgnZc6ozV+jlM5lvYEum0HuIzkgNWozwsSjE++GCsHb96jfv6/5G8 kPdizECrAxPXlA0GSPNBW+aIi3t1IJ33fvEDTT6KhX/lF+zqQCN9d/l3LT7y mwd07QM6kLjc+6nOTD7GTEtjckM70Bzya232bD7CArIy7I91wL/8zaokHT52 Lhs6z87rgPag2sFYfT4mrDj2oULYgTvS3zXeWfGx6JJctsfXDti42XovtOHj i/+/Y+O9Haj/XbI0dT0fLz6yk2yHOzAWNhjgvpGP/5yUDvRM6UTG1CuWvx34 sK9rCfLT74TvE5XVttv5KKpZ8kEpuhNfzTNCHQ/w0SZjx247Rpznpl8dzkfK 6B1m1olOTN+/Y5/JQT5cD3dfmn+2E/PNTnsvOMRHNPXui3V+J/TsB6ZNiuEj KeDnq3u1nThi22vXfpqPk6tk2uardGGJS5RJSx4fTR733O+pd+ElW49tdp2P 9r3HT5jM7EJXhhvvZgG53tO6yVm3CzczH0ofvcnH0UN66ilrurC6m89ZfJuP Y8sfHlL36sLAoKt19mM+BlOmZRXe6sKf0mvnXjbyodrsMLrudheqbEsfLG/i I/fMBD7/fheGq8aWFjXzMbJ4k9HMZ13Qny82P6OVjx37m/m59V1IVLwku5/J x3So2j/u70Lczl+HV33mI7NC/5SZGRO/Uto2TPjHB2+6bOPmtUxkn770Il+M At+GSty5nonVZ+clrZWgwD13f12cIxM3bKt1j0+ikHfH6P2H3UwoqmmGSslS KE62eBmeysTbmh0Vc2ZQ4Kw44J90gYlb3PawGnUKGlUegXmXyf3W5x3Zq0mh qSoq/FM+Ex7ZOFoxk0LDcZ0Ywwomgg5FGDjqULgto6E9icfEJ6r62/nlFASB WWWzhEyMLojdb2pEIUMq/LTpVyZUJw5AtJKCZY3LcMQgEz/y5z9cs4aCvoPw /hcpFoK/eAyILCi8dlmuLynPgrEw/f75tRTerp0nnKvEgm7x4wfmVhTOBCh+ 99JiIUSXcfLSegrub5TtugxYuD0scrazpzC4db/rn5Us1LyRWDLiQOH0yYfJ aqYszMo0sL7lSMGwbMb+bTYscLKZqya5UPBoMBlv82AhMZVWrdpOkXyv0ck8 zsL5t1c2rA+isNVYvefGKRaeHEs2YwVTWHBdSyHsDAvMtXF++/dSaOQEJU68 xEKl5nebK6FkfJiZU5YWs+C/pcxp8CAFle0WCcN3SPsX7z4mRVJIeeY+6U05 C8NRDw/OPkyhdpLmDLcXpH+3Lzg5RFNgVO7cHf+JhcvlS/Rux1OY5aH5x66V BZ/3E5WsE0j/Tz1NUu1iIftM8jz2CQqbjzTml9Is/I6Wey93mkJCKV8n8gsL A09NtxcmUYjYIlNg+Z2FzfXxqkih8L6LmdD2m4UTs57J7j9LYaGZtujaKAuL Z/GtpqRR+CR912SPGBs/95+4cf08hX9D/S//SbMRO+Mepy2DzJdSy6/v5dlY zA56FHaJgt2A8qR0JTb6GqQeTsmk8CQxcaKuFhsTbnvOxxUKoydfin7OZiPu idXFzhwK3cfLy5/psFG84tCSiFwKLj7Lg08sZkP90rnP8nlkfsrKSjvos7F6 y4KaonwKqw/JnFUzYsOhurXOqoC835V/I/zVbOS5GvVzb1C4eOjRphJzNpJc uKZRNynYKI7HRqxjI1M+pFiliMKx/woumm0g7d9GrikrJu2fRKZKbmaDef9y z+ZSCmlD1v6Njmz8nRxU2X2bwuGtbM3Lrmy49sU9PHGXwtUxmfve29ngJkd/ mH2fgnDetdkLvdnwHvgp/rKMgrZMYMhPPzYSjKPcPB5QsP1tcOFJEBsD3vcb fj+kwF75MS1uHxt7wvT8LlRQUF8wKdA2nA3WzlNq+k8oeC4umT7tEBvHtLZ/ +/iUws6ylIsd0WwMZZizgp5TOGl0qCc3jg3P4g9fJV9SMFptqhyQyMYuo2yV glcUlDffnLo0mY3wKTZelq8p+Mme6ho8y8bLX35vOVUU1mjfjniWzob783PW 0W8psIyErLhMNtw0fakZ1RSklf5N23CVjW8f92dV1FCwjn+vKH+djf0xbiEu 7ynM3KHEYdxk41LXHY+BOgrxSSUHMkvZ2Jcg55v2kYLpC4mBuY/YUNGzeVHf SOHGLsneT09J/y25fbuaKOTqdd89+ooN2qTfZKSZgqpF4/G2Wja6qv+pLGij UGqUfiG+ng1Nc+PCF+0U0oue7V7azIZ0gO+mrZ0Udkx+ZHeCSd7HS64tjkXh 1vRNXvo8Ni5/e/9UjUPh+ufqZUwBG6F5A+V3uWS9NA9N0u9l4+bHyRSboiA2 LAhoE+NggI6fY9JNIXCi68bYSRx43RjObf5K9ovQJ/wFUzgYyq5fGtxDITSa s+iQEgdrmXKxmT8oPJu9bbKyDgcuN5Zzh3+R/clH4cCzRaS9/g/WuSEKFhof T/ks40Ctf+SL7h8KzKiWh6WryO8OUYvcxyj0SPT1mm/iYMQncMNTCRot549n UQ4cKGT13naaSONR5dLuE1s50FryUPvbJBo+8932fNjBgfnqqFma0jS63Zto xzAOagMNsmKm0hhMHD3VH8GB2S8xB9VpNHKl3WrPH+Zgo7OY7D1FGmP6xtOa 4zngq0jm8JVpyPofLd2UwYHp9gMK1po05v/SndidycG0OZPG2Fo07G8v+H7i KgeeDx71/DeTPL/v3r6XNzkkH35n3ppD46LSH4VFTzno+PldJLuQhr9Cb9dX DgepVY7urUY0PnOUFgtoDharBsinGdP4UaAlYH3hQO+FRZXdahrBl5H8sZ8D m/eb5r01pVEz71BigSQXvy7Jvi1bRyOpQ2fIaCkX7RZZE8860li/PFxv/nIu Hp5Zs2ejM43wr5aPlFZx4cKvq53kQuNYZMuTXkuSgz5W+0e70ag0YPpcceGi KOfIrCAvGp01seMt0VwYbNqqZRFC47qsxaPHcVwML9j0eGQfDXEFp+LsRC5+ O3ivfRhGQztSZOl1jot1+T9nL4qgYSZtIsW+zsVsB0lxpSgaETZ5L+7Xkdxa +aSJd4qG69BkTaYMD0GhN7YGFdD4tffuRRWScx7+N+P8hEIae2S0ixwVeHjk 4lCec5NG1qD2herpPDQph+Q2FdP4EuO2t0SLh59JQUqr7tPYpWL7xHsZD3tm 2Sj+e0FDrP7mj4NOPOh5Li890E7DTU/e5TrJBcNpYrlSnTTujfMsPpEcsOut RNDVLjKfVG4V6ZK6P5JSiXvPpnHtZs09xi5SN17OeKQloCEjJqeteJAHf62P 3Bd9pH2Bzusll0h7C6+ILmkBDhyu0IvM5CH/wIqJKTICxGrlDVVm8zAnM8nF TE6A8nld15yukZw2792aXAUBuK/3rtxXxMMSXrW4t6oAkUbjXSee8VD/o316 6zwBelaujDLkktxySeHraZDff963D+DzoPW9/7GhpQCXsl4GZ9MkJxW1rWau FWCh5r/D4l94mPa9wmGxjQDFltvot308PCk6+rLGToAjZl+cdSX4GHq/1uyn uwD7Nv3ZtGMeHx/dZfZNiBBA4rLy7DBSt8r3dE7KOiiAluEiw3hdUje9odfp Rwrgv7B3UsESPmZ+EdzbfkSAo7PqdnFW8HFbyWrtnWPkfsLGQ3rWfBz5T4Jn eUaAWyvTlAx285H4w+7PzEIBrGL/bl4UwIe6/NbY4pvkfq6eZXOC+JDl3MhZ USSAqm7lb4UQPhyeH8hbXypA79PmnXQEH3uHK54ElgnwsCXa0CuB1OkBJ+ov vhRg2pS1C+7mkzpUKHkmt02ABMlbSXtJ3UlzZz6T6BCg9Fn/vIWFfDQmrTu+ u1OA11dOjuUW8dG5wpm3kCVAteTA4oR7fJQpL397m0/6f/TcUp2XfDzabvkl r0eA7tOz6PoOPvw/mjiulhDCZtMC1/1dfGxYNUXz7AQhxAzG+pVYfHD0Xf8T TBSioPvILVcuH7MVNDvOTBYi4FflUJOQj6gYj/VMWSHWnK1qzO3nQyGnJcVb VYiur9PKM2QonLqoGqW4RIgD9dq55nJk355lPf+gnhCFDpxjInkKn7+ZoH2p EK3Hzs9drkhh/+DPykwDIdZ73e54pUYh53Jcn6qxEHNOXMwsnE9hsnn1rWFL IZqmelsXmlNYWWf3YcM2IQY+XpugR+rCWWnedy67CWE6QbGozJLUNQ8HBj+7 C8FcVnfzKakLfU3USxI8hXjmHxf4YiNFcoT4/Uc+QrIfnL90xpXCbKdzn8b2 CLEqVu+1Swg5R6O+N8sfE2JUkSmXt48CXK2OGcUJof7Y3OMbqeNO+Wllb48X wjCE1xd9gEKwrqFaYYIQD34XyKaTOm52Uf+CFaeFqNhYWZEWR+qg4eKdK84L cSep+2FtOgUqIdz4zXUhlN2dvAZI3fTuss+U9gIhEujb45qkbpLV/mP59YYQ /p3K2iGkbrpur8SRvyVEc0xBu9hVCt7RCVVbSoX4zzns969CCkke28UrHgjh u0r59/THpM7O+ZUo806IngWeeWqkjohvdQmQrBZiV0yqlQapIypjjxWL1QhR 9frlfi1SRzw/YOM2UCvEUq0cb+VKUqeOKm9q+ijEtmdXtjPIuR/ds8EjtEUI nobi0kRyLn/WHE0ypIVQOyfmF0jO5TS0Os8QCNFRczXJtoNC9UO7Q/+Ii5hK RVJdFLbPWMV4LxLir7HC/CNscr9XUh9cv5L7zSv4tlBA3kfP+YLjTyG2cJc5 P+sjdZrRm+nvx4VQ4B+KTv5J5sMSjYel/8j8Yst6efRTOO+5IuWsmAibyvUc BgdIXVJVwnaSEEHNWb5VjZy7/DNvJT9NEuHaKxebeX8pVKhImRTIihCfYrNx nRQNB5nP8WUzRAgbdl7+lTjT0zohWl2El70ajWfJucr/w3pgrSHC4prZ2u1T yLm4oS2/VVOEFZWTlF3laCR6NpV8mynChJwAKJNz9fHcUsu++SJI9t3adUmd RvZEo8keBiIYBAnFZDVopIgmNv0lzt8fHxlLzCrcxL1mKELO8ZA+X3LuJu+9 WitYLgL/sYS8pjZp/3Jy3a6VIkSV9fJcZ9OQWvF7t7mJCEGbMyY/Ia5Z/tmv jbguemSSOjmHo7NFN0JMRVAezzvdQTzeEf0900wEt8XcovXzaNg9lDzbDRHc nevX9OqQc8lCZ8zPilxvw242W0AjNVNW5iex/HonyxRi42017tHWIniMaefN 16Wx7YvBo3M2IsyTNQ3eSM75qtElAfc2iJB6YI2S52IaD45QKR/sRBh5Yiqd STz17dHTmzaL4Gh/oaWFOHof9aaOuGnBhG8blpD3v5r8s9pehE+z/JXn6tEw 4IrrPdoiwu6F37fm/u//C701mxK2VYS9GrL7G4j5V5UsfhJPHRRXGyO2/HEu br+LCAVzTSSdl5FzmBbqhLqKQH0+7PuD+NSft793uolQvJNmKOqTc27ntRMd xCu5lY0riNVv92s7uotwW/yufwQxZ0tQGDxEcGpyVKCIo8ZKkhQ8RbgY49Ty h9h5yDYonvh+w7E5CgY0hJMsHQeITS9v2rGK2H3SfdPmHSLoHh/aFEl8PePz 0QQvEZazXnkfJz6qm329lzi8J/nfGeKZb640bfMWQbtsDvMq8cE5U2wW+Iiw zVx2yl1i/XTtM099iXPv7fufKa+mn5q7RPDZuGnHHeICya4dMcQcs90dN4l3 h/y3ydxPhJ/xIr984ol3Gz9eIXaQ8Y3KJpZolHYZIVZ9t8XmNPH6vjuHy3aL IHv8/chR4rRmvrKcvwi+OetX7yd2djnx2J9YUbRrqzPxnbX3FVQDRKjVlzFY S/y6d0J1CHG6Qt2lZcRbXm6Pe0P86PaNCZLEJefKpPcGiiCn2ij1g4zfvpUx bS+J/wtZeLmNuMj6yy2FIBGq5z6//5w4taH9mA/xc+2zLnnEhXordt4n/veg +HgCcauM0EIsWATNu6qm/sQBO5t17Ynj13NjbIiVAwTK2cRxi2Ts5hNLPZgg 9ZnY5r8b1yWIv86c8c9gjwgdTx+f4JD5IWiSG40inj7i0P+Y+KbZh9G3xLdv /tedRhw510Rcbi+Z70Wr9gQR651bL7OVuNolPxLEFuyuGVnExf9Vyk8n/nCP u4RL/P//v9z/AdzLEbI= "]]}}, ArrowBox[{{0.6, 0.2}, {0.8999999999999999, 0.2}}], ArrowBox[{{0.45, 0.6}, {0.75, 0.6}}], ArrowBox[{{0.45, 0.6}, {0.798741, 0.7}}], LineBox[{{0.45, 0.6}, {0.7152920232176133, 0.778941729110639}}], ArrowBox[{{0.45, 0.6}, {0.10125899999999999`, 0.5}}], ArrowBox[{{0.45, 0.6}, {0.35, 0.648741}}], {AbsoluteThickness[1], AbsoluteDashing[{2, 4}], LineBox[{{-0.2, 0.6}, {1, 0.6}}]}, { {RGBColor[1, 0, 0], ArrowBox[{{0.798741, 0.7}, {0.7548741000000001, 0.61}}]}, {RGBColor[0, 0, 1], ArrowBox[{{0.45, 0.6}, {0.49874100000000005`, 0.7}}]}, {RGBColor[1, 0, 0], ArrowBox[{{0.45, 0.6}, {0.401259, 0.5}}]}}, InsetBox[ StyleBox["\<\"\\!\\(\\*\\nStyleBox[\\\"w\\\",\\nFontSlant->\\\"Italic\\\"]\ \\)\"\>", StripOnInput->False, FontSize->18], {0.74, 0.183}, {0, 1}], InsetBox[ StyleBox["\<\"\\!\\(\\*\\nStyleBox[\\\"w\\\",\\nFontSlant->\\\"Italic\\\"]\ \\)\"\>", StripOnInput->False, FontSize->18], {0.68, 0.591}, {0, 1}], InsetBox[ StyleBox["\<\"\\!\\(\\*\\nStyleBox[\\\"v\\\",\\nFontSlant->\\\"Italic\\\"]\ \\)\"\>", StripOnInput->False, FontSize->18], {0.78, 0.73}], InsetBox[ StyleBox["\<\"-\\!\\(\\*\\nStyleBox[\\\"v\\\",\\nFontSlant->\\\"Italic\\\"\ ]\\)\"\>", StripOnInput->False, FontSize->18], {0.06, 0.48}, {-1, 0}], InsetBox[ StyleBox["\<\"\\!\\(\\*SubscriptBox[\\n StyleBox[\\\"v\\\",\\nFontSlant->\ \\\"Italic\\\"], \\\"rel\\\"]\\)\"\>", StripOnInput->False, FontSize->18], {0.42, 0.69}, {-1, 0}], InsetBox[ StyleBox["\<\"16\:02da\"\>", StripOnInput->False, FontSize->18], {0.637, 0.621}], InsetBox[ StyleBox["\<\"18\:02da\"\>", StripOnInput->False, FontSize->18], {0.633, 0.674}], InsetBox[ StyleBox["\<\"drag direction\"\>", StripOnInput->False, FontSize->18], {0.42, 0.445}, {-1, 0}], InsetBox[ StyleBox["\<\"lift direction\"\>", StripOnInput->False, FontSize->18], {0.33, 0.69}], {AbsolutePointSize[4], PointBox[{0.45, 0.6}]}, {AbsoluteThickness[1]}}, Axes->None, BaseStyle->{FontFamily -> "Times", 18}, Frame->True, FrameTicks->None, FrameTicksStyle->12, ImageSize->600, PlotRange->{{0, 1}, {0.4, 0.8}}, Ticks->None]], "Output", ShowCellBracket->True, CellChangeTimes->{ 3.445038191514577*^9, 3.445041202644702*^9, {3.445041361433827*^9, 3.445041384003455*^9}, 3.445106130546875*^9, {3.4451088129662657`*^9, 3.4451088329195633`*^9}, 3.451214836859375*^9, 3.451214974015625*^9}, TextAlignment->Center, CellTags->"Section1"], Cell["\<\ Using the optimal throwing angles (release, attack) with a headwind and a \ tailwind. Headwind is better.\ \>", "Text", ShowCellBracket->True, CellChangeTimes->{{3.4651565821726227`*^9, 3.465156603804206*^9}}], Cell[BoxData[ GraphicsBox[{{{}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJwt1Akw1V0fB3AUV28Rru3a7pXr3kvZd8X/2yIUd9GNFI8ttCFLESoq2Uql PCVE0b6hjRY7RaSSeDxUdlFaRJF4/+/Me2bOnPnM/Oac3/xmzlfTN8TFX0xE RKSL3P87RYo7NV2GUsoKVJWvNzZOEyL/X02N/1vThH6Tw1fekAohFaFkLtM0 TTw/0OfHG9IlNtm55q4jHalpt/u9xyXCfV2Ha9OyP8STiyKD17n3iVcbXuSy bvwhKpOjS+QfVBD0yaowL9UZIigo5PD8mgoiVMX+jK/aDLF3s7eL2KsKwqxA 5Ym/+gzRGu6sNtlVQUj/bdO9RWOG2Jhn3vdluILI+XJ77g76DPFtVPXawM8K IqEwlB3CmCGkOt4ZvZGtJBxETm3ftWiGOB2RXlS5uJKIGh67EcOcIR70m+vc tqskNHecGIlnzRAqzgdUfjhUEaeOfqstt54hvANTBsycqolrDOGRae4MwU8Y PBrBqyGCrt20tfSbIUayjWULXWqJwQvfO8MiZ4iUA4/GXcOaCR9HblH88lmC sXWTrt+zN8TuTSK26eIiqLuksEKk7R+CmjeUqLdNBHsLLT7P6X9HpDbdy01/ IYLLXinXLSa7CZHi28GVxqK4W2dvv/TvceKh7gnDdhlx7Px2ZR9dVhTpY4Sl 2z+SSNhytnWAT8FJIXO8O3UB3l6ouU1JlcKpjAMFC+RlkCUe4zH/gyz+w11+ temtLJrsDoxf3yeHx2+PS580kEPsNnEDc3UqvIfjqrsT5WCZpSmTsZMKJDl/ Zd2XQ+OS4c/P06ho23tza1+dHPzNhsOXFVCxqOjJl6rXcpC+OpZxo5SKhCe3 7HLfySF/h4lQrZmKA4462/cMy8HHf+ri1CQVx92itdhiVAj5j7e1MeUx4luv 0EijYrN8e34xTx4JzluILUZUyD6543IkWh6OZzJzfjtQcSbd8FIpSxHvhA+t 2ozlseNS7VeX10pwckyMs6ApgOgwP+G5l4akl9KJstMKcNue/fYdWxUeVa3Y +K8iVGuWzP77Sg0Gk+P7JB4o4cPNX7tPzNXE2pLQ9ZYCFZSGRNUuPKeFhdfn WI/UqiGZL8EpNmPh1591RVeodLx2Tf50zZyFp06fD+2TpyNDpKUw34KF9RWv XYQKdNgJeiOyLVnIWzlXVVeRDqHTQ8sMKxYKKuO7Zkmbj7tNH7VmwVN77dlW JTrirjIO7l/GgnHaLsl4Gh0XDOfOC7Vl4VH/C68lqnToXhJL8wULrQdd89rU 6KhJb0l7tY6F8GMStgf16LBZmWeOQBaC/voxqm1LBzO4JeFWNAufM48XlnPp EP3aFquWxkJvgEMc34uOjk/jqev5bCwViTZPEGVgymprvU4kG/S2VUG3ZBno Swh4NJ3DxpGZxthaTQb4TW6qDwvY0BxJKE9jMiD2OVj75RU2PqrvHrZlMaBX ofuFdoONawY2aWfZDMRHHLnvd5uNobq/ZSY4DIydPhlzs5iNJVcOhQp0GchK OT6DUjaOV2s1U/QYmPdKPepNORtrD+tcfmLAgPZ3i6HAOjaI2vzJMGMGbvj9 y/3dyIZYbl4d24yBmoqHdo+kOfC8ep2lymcgpcMmJpLPgXiMybmObQyoPpTo MUjnIHzDV7+ABAbcGLM7+lo4eBXteqsslwFD/7DSvC26SJxoSqy10UR5DfPe k+nF8CgLF3q/0cTtjLTvRsf14PXl8pYyv0WoqFzgMr7IAEdSOWVSnxaBaukS FbfREGNbvaeig7QgZeyYOHjWCKaeo28C9Jkwa6zeI8wywtRsyK2LpJc7a+6o JH3kquThPtIf7/r8pZ9thL3eJZu0DJjoFkvgZ5H2XrzfwJf0B/PUFZI5Rngm 4yl6nrT7Nk9WD+l6dfvzGoZMnDd5NO/xOSOE1x+1yia943jBp4xcI3g4GDXQ jJjoHH9cqHzFCCerihpnzZgo1RLYZxUawcTD7U2PNRPB6zYUqpcaoc18tLuK YOLRi/qR3EojrFi4ciJ3FRMBjR3bbygaY5dkfm9uBBMqD3Jrb7CNkXQ9WEVx HxMl+86sT9M3RvWrCpvBeCZO6zk/cTExRtPzCLXUQ0xkX4tSVLI0hq+N1UL9 RCZE66R9/l1mDNpZPcWXyUyk2nIb/FYb47IbzUf2GBNL3Ap+jfCM4aS2coZ7 ignLpcUj4e7GOPEybzQpk4kVQqX8377GsAjUMyk/x0SD5rGrS6uMYenZ3CT/ mrxPWey5r6YJuhrlYmbnaGPgVH1uSJwJ3g5XiB401cYi2ZQG7/cmCE70ZeT7 aSOGo/TL1NYUv+kLj/qd0MZQe82Ds3wz+K5/FRcpzYLGg0jHPh9zFGayh8Li WChpUft7ItQCFi/oe64PsiBuUj5YEmcJ+dMZQRGr2FDyoVbJp1nhfKtzrMZp Nlp4W8vGM63x0n5928/3bOx2T7ujT1mGqBKNyCRTDpoW2LfxQ20wO36guDeS Ay2Tog6Ldluoh/bPf3KNg5jgCwE96oCszq3D5U0ctLDrm0ebgN/hNwePdnMw 5j/lZh67HE8r7kxXDXAg3RxqWMhZgZWPez5+6+JAMXm2WaR/BdxtIkbTazjg JDr+ls5diaSF94Mjszho0GpubHVdBT8FtWZ7Pw5sl8QIXRbYgdsbopavxkEZ 57vPwXI7TNvNyaA/Y6NWnSXcunM12i0b9NcGsFF2pfCzON0ejpEutBs/WfCN 2avn8dwezcc7rStjWUgt5uXVTzjAPUtv79HD5LxNV7SsUF0DSWbGwwdBTLTB Z/Vny7XY0JBuFmaqhWy2aOYPnhO+FwUtL+vUxOuSldbJ3s5Qr0sQD9vCwKLU mfjifGek7OKcVKEwcIv25V7UgDNaA3y8zR3oyNxW9PjpmDMu+I/7WjLo+PjO XlLihzM63PZUx9LpiFiTtG4VaY3ARZqVGnSM3wg7d4D0puivMeKk2RKUjxWk 90f1tjiqk/m63s5klvQeh9+cNDJv13YrPI0Zd8aYe0STIpnHwlVp7r9IGw7v D8gl8/pu7K3hiAln5Biq/2Ar0yFT9Gety2/SmYMSMfPoaGp8zTIQ4SKzdWlu /ZQGlCy0Y+aLc5HNknpI/aSBUbNPDoPzuLBfulbo3qWB7J5fvt7WXAQ7GSkr OWrAYbOgrmAbFx9O3AkRv6OOja6X1tw9y0Vv0COesqo6/vTVV6c1cKF3V/fC yng1BEumippOcfHxtOnqmH5V6Hdh4bFMHla1eZ8XPqNhT4yVazXp5g/tNTlP aQjfN5r9k/SKwNz+gToaSvu9ehef5SHO/e4cQ9KfCo/qeJPedkmJvqeWhuvv I0NOke5bVm9RVUPD/jm1U9Okyzqe+QmraYgtnpPgn8XDZwXRhIFKGnI+mki/ IH3YPzQrqoKG4pqfBr25PMz0BukuLqZh4h5l6Gc+D/dL58T/k09DWJeb+YIr PASqauQczKChYlmnCuMGD1sGLsbqJNIQHF+/4uUbHqj1S7aUTihjt7WJVD9p g5fD4iGkzWXS2yZJ9221yGeSviU2cF66lQepDDl0jCujS9Zghxbpg/zYzmOk q22CzC1Ja2ZFRNmRnn7R0uBD2sPpwO3CH8pY2CLtlUp61rChT5X0pKPG2F3S bwkn5cQxZXw941ksbOOBvri99P5nZcwryfT+0c5DdM+Pq/2DyuBnv/5zsoOH b5n7hqg9ythkLZli0slDyV+CXcs7leEh9PHY/omH2n83XOk5r4waGfPk7Gke 8pibW20CldGWQk/yk+DDbPdgiMsSsl+v9Khd0nwsHVw1Qv+mhPf+5QqHFPmY udf48OI9JfAZD/p5m/nwOqO6nvzkOOR3MOldIR8dOV1yKj/kcHjgu67eNB+T dG/CNEAGWqmeKRarBXjwyalZI2Q+GtvasgoiBeg7X6qQcZGCAqbgUiHpHdTE kPwCCibMKgsfk86c6/a0KJ+CkvmcR89Il+/UUa+4QEH3xYTaN6RN183sfHGe gsC5Hc0fSHMvt1Z15lGgtmZn3y/Su3SSfSfPUfAnr/uXTJQA7U6rpxRyKKiQ 1JfSIa35aUGKcRYFWVHWL2l7BNDYUhrKTaLgGtoP/Sea7Gf5nmWBuyiIJCQW /yYN20cfY30pCBVUV43EkO+nfo46xqNgjdTAKW6CAHnvrTRyTkhA+OFkpH4i Wf/otXn0dglw91Y2/yR96EhbX8QmCVjt/nY/LomsL+nfm8aXQHJGYOa8ZAF0 h9bLXLaTwNSIVmQ66ctdrOwyawnEx4QwC1IEcMwYyB1mSqCs+E3ZvVQBekJU kuUWSsBSXrj66REB2oZK3MwnxSGuPfqw/agAyR4l8117xVG1hGF98Aw5j5j9 64oo4uhtHXNn5QtgoGgjHaY7FzJzfdWqbgqwZ+KD6pm1czBWtvGga4kAPzoL vbS2i2Geae3x3ioBrtU6V1CTRTGvLdSTKuUCz9HB7VbsCWKkQzv89XoXKAty a9+ZdBMq83cKs+NdICJieKX7cZbtfwEbhw3M "]]}, {{}, {}, {}}}, {{}, {Hue[0.67, 0.6, 0.6], LineBox[CompressedData[" 1:eJwt1nk41NsfB/BRKXv2sqQZZqyzyDZj0Pc9CGNfUsmSlFuyq7QQpQ0JKZRb XK1uSqsiS6WobrbcUkQRZWkRESJ+3/s8v/PPeV7P5/xxPp9znnM+tKBIz+A5 FAplqQiF8t9M6U3LsezfXR0/altaXz9NUP4/Gur/G9OEs/ySrRb9qkSX/fwv +g3TRME5gb5Fvz6R0GEgmUK6JfLYQEtCEWE0zRbI7PxNvOoWbemLKiOcTHul PTVniMZo4ve4ew1hJrExZmX9DPEhuz9+qX8N4dV3bNmlhhkiyK5oyi6khsi6 UzE02ThD+B1K2BWxvYaY2tF9xbl5huhYE/oze18NkWswN6TgxQzx7UFETNXR GiLyBZU+0jJDuNec3Sx1sYa4JLLyZO6rGSLAaJmvb3UNIT8VK2b1ZoaI01N1 vNxaQ4xVpWz70D5DRLhVtFY/e0RYdz5rWD02Q/gGaY6/qHxMbH9dmvl84SxR yC0p7rlWS9jcda2y0p8l/hWtHv1xto7gJGd7ldjOEva7qw+cl20mwqsatwZo U7Ci0KQzueklseWH6EblyxRscNGv0klvI6SOR00nsETw9/jNzn3O74jLqWLE yesiCGupnXI62E1Uhj9kBRnPgbmD3Sr/vFHCQrhskeXyBZjrID+rYkbBP6ts uqj6Uohq6l8fpj4fVaFp3CNxshDriN8RR5HCEjffmswWeejs+jXZxpJGRZ3Z +H4HBaxeJHCNXiYNo+jr7YNCBYicelUoZiqNqOSQMg8nBfTKlo0W8KTxQCoo s8xZAQ+O9dtxLaUROXMqaKmrAjzZm042EtJ45i/HOeSmgA2PKfzfdtIIm0io 9PJUgN26f98YuEpD3XnQiOatgP4T77et9ZaGma9X1rfVCtj0lDtmcEYa6awf a4e2KiAhODloulcak44l2n0ZCojxeVX9nCkD61HvsVfFCqhWGpbM2yaDj+6Z dRVPFJDohdFB3kLMpYylvVJQRLfHTi2T3wshkW+ncGWdInZPm76/FygLqQSe J1GsCO9VL8c/HpJDgLJNs1OaEoZsS7KGr8hjZ/Zix19blFHk35L2vkUBFRXU KaH9Ipgv7nh0Y0IRBTH3Vfm0xbDc079cwnYRVBUb4icaVLBhen64eIYKpATn ZDnRapC9VeZQ1aYGq3vD615LLEHKSdcAY7oG9JpOdw7macBnyVCQJZcKi3jd mBuyVKRPuYW78qhQvZlbFixHxR7twh2B5lSsHGj+pSJPhem5D/ti+FRoLn3J ayT9JFYx7YAFFVXuhTFJClTYXDTLybGkIiCOV2SmSIXhE9/L95ZTQa36JVGg RIX1Xuvqd6DicX2v34JFVIxNDr6YY0OFwomfZyIXU+EqZ50SuoaKYB2N1ARt Kojin7ovw6kIzArpPmRCBffAhRuW+6nYSSSdS7amYlX6Z60LJ6kwoMs173en 4nvVPbfSCBoeSU7SBtqpSDI526cZSYOkuNNKzlsqKDLJiZmk+8S/H9xOutwx bNEMaT2Z/jsVpH8Pul4LjaLhrJJxn0gHFWpDHPs20nTqC2UH0on3v8XejqZh hn9r20vS8tRLFzNiaHiyvrspsJOKlIU+rVu20lCb7av7lfRoYN+NX3E0vHu1 W2xzDxV6WX2pqQdoKO1b3d7dT0XGaff1qkdpkLn868zab1RsF4swKPtAQ4zV Zv4bOg0KurL1K3maWGw2GPJlLZmHN5v2/agmrqR+cczNpKE9SiCe2qMJz7bO qTe1NBiNODZ/ektHByU0+I9xTYi8Pomxf7VxLn4B9R9VOg6Oj10teK4LieHz mWqGDFy9yHusXq+Luzv9ywNIJ05ubT9F+rG4eXch6TtDl74rN+gi5TxX7CNp yZSX80+QXif0YesuY8CidlJdrlEXBRNnvEJJ1yWZCiWbdHEpLPz0MOljz7y2 izbrgir9rHuHEQPbclcWzpJ+0XFda4Z05RtRr9p2Xahsez9hwWPg3HH9ydRe XRze2bFtpxUD8mH3jrt/04XN3Zu5t6wZMJ97VVN5Qhe9C8LXf7VnIPN+1pJC ST347L8/4OfJwEh9bUPPIj3EhjdafFrDwK+WkFBtuh7mb6qICF/HQMPJ9T83 G+rBuT0taSSYAbVj3f9+ddBDQfuo888YBg7kuQbHrNeDX4bVn8OJDNw3qfv7 5y49qPnkhfemMXBQKuiv3Vl6iNbB48ZTDLhs9K7NPKwPwyz3h1oq2tjBpj88 EG8AN3qGn162NqQWVXt5RTPh93vdgS5pHdjMa9w4GczCtH2FueN+HYynJszd tpYNi8AlmZvGdHDb/ndM1k1DFDQvMN/hpAfXt6e6X5sZ4eyjJyEGe/XxTT7F caDcGD1p8h6lxw0QXTN77IqFKToOr3JyOcTE8LC6qkylGaidfHHjNSzUySkY n9vDhWah71+dpSwIBUaVb0n389vqx0mzvYQrFBO4UH12dkLuDguR9msanUlP OpVpMUmLaqxbfZD000cqrnakB1v9u6r+s+GTHYGk7aSdRtiJXBSPlT87QfpK /aJ5f5H2P9ax+Nl/6xUfK8nt5eKzKCf4N+kQrYP34w5w0dFzvXZBOQu1DTl+ n5K5OO3xRUqugoUDnhNf3I9yoeUywFepYkFsuCiq4hgXae+vuVHvs3C840t7 dxUXXmbXK/T/ZeF7C6W6tI4LMfHPF5a+ZkElihmR0sTF6ifDTNm3LJyJ2PLZ 7w0XPz+Jeky/Y2HMrq2o9y0X6gNXq9O6WHAboQaEvecipKRsp/oHFoKdBJKj H7gYvaWXWNzDwt25/CzTj1w06nxnXO5lwXjondKOPi5WpPvsL/rIwvJqw5yy AS4Wd2zIvfiJBd20zjSLb1yEXffqKexnYb21XWz1CBfXhSXipwdZOMWP8hSM c5FxdYNE9hcWCj8F0h5PcWGYvuFj2jcW/B4pb+zU5eGf71ucpkXYEHUwPT7s zcOfL/qvTyiyMTl9oYayn4evPOrrfTpsfBc4mMxN4yHlavs8PQM2eY/PbxXN 5uHbzI7jz9lsuEr37l2QT8YV45NCjNjI1TT2E7/EQ1Fb5Is5ZuR6gxpRyes8 sIzfJ+aaszHMfrhHqpyHh1GrjupYsbE2o6pN5jkPI9TSR+a2bOx6Xx4t20nG w+5GmTuxMdBPs5cb4mFi15tMbU82siU2+sqJmONSQhJVxIeN68tNrYYvmaMh oPc2NZuNKXmi4pcaH/v6RTTsKtjQKNTbvledjyWFKp5RpLe+/saev4SPwjaN pDzS1+6m9x8hnZwmV/KY9CEb8bNyGnw43R5+9Y10cXyAby7pjU73JxdXsjHh XN1wdikfpi6m5uGklbqSiRIqH8u6Ajc/JJ1jU329nMYH843gsFIVG6o2LdMG TD6u6b638H1A1iOo84U1mw8Dwcs5cx6y8Tgx57yPIR8249nJRaStRWe2RRnx sXlQs8G1hsznZJtMvhkf7bfysvIesbG5KKbgOZ8PqSxTr4+P2TC69Y/25HIy v8oRGU4dG3LmPee1bcj9pr+o3fGEPE/JfTmfw/ioDp/tVH5J1uNT3fCVHD4a LQsl3bvYEHnmV7nlAR9zT19w0vrCRnJ+yRR9kI++bIc/M8fZKGqx0nfIs0DZ 68CFMVocvPw8/ZTlaImOFucwrgMHQVYiA62TlnDea3WmK5iDtPVHvW3/toJu 0+nx8HgOvkXKnohdsxx/yVtYdx3hIPaUz6s0OwJSjb7P92RzIC4c+qCqCsRd +HP9xDEO9AvZ6mFxwGnaz0OOBzmwyVauye0A5gVUhTRGcnCj6SrrjJUAPe57 Nqd4cND0tCgtLl8A7pv+ln36HKQavQi8Qrq8reRzKOnKsCGTTtLyExZzVpG2 3jFXXKZAAIFJpjJIT3pIdy4nbZdRrKtPunpa6kYkaU2JdJ4i6aUj42tekE4W dHv163FQqH2PYvyXAK4Ujz8qSbNPeRWdIL3btTMyk3RJXIZB8HkBzn/e96lV h4PyrvZ80yIBRm2ie1W0OUhPXDZn/hUBZhv/CfGhk/F5Gd6t1wTY4lYSm63J wRpPl/rYuwLs0DyuM3cpB4ZlI3MW3Rega5w6EaTGwdUHvpN36gQYr/AduL2I rO9ljVVWTwVYcXro1U9lDtnnuV5/9IzM/3CSCY/0TNnAAsfnAticVhbdpcSB 45SF/ifS8iE/NzBJvz5Dd06qF+BVvMaV94oc8PPPhWs0CLCwJ70zizTz2sZr qxoFoDx3mJ5Q4CBeI3EovUkAwp/+IIC0/9sR1pNmAaLbaXqP5TlgOJ2ymewQ YGlxStVFKQ5Ovnt1S39AgE1l7i+D53OQsHRdgu+YAG2JByNEKBzwAj+dPSJi jYNCm6O7JtlYEkxs3bfGGsW7OPVN5H2uvsk/4n3NGjnnDTuVj7KR1Nahs2C+ Df5Wy2J4OLPBUcWabD8bVLQOJu+bx0b/uPfMzE0brG/6Hl5M/j/icWmHJVbb 4o8Z6R32UuS/qE839i6zRWeuWHzan0zyvPnLYklvOVdwcyPppkQnTi5pzgSn 35K04m1vVhnppJxydSXSW0/5GLSRLkuwdP+ax0QzZ7XeL9LaN8qSakl7Vq9g WJbbQr343MftpH8uVKMlkM5r3mqrTfqT1mv1B6Qd6HoFraeYuD1a88Wr0hZn j+1xKM9h4q54082+alsoHtqwOu84EzWqExFxD21RvfHj812ZTKi082kLH9si 8Zz0xdVHmWAO/t5k9swWRsKkIzKHmdjUOnvIv9EWfk9lxO7vZSL96TqyxbfF tk4Vq5dxTHypKLnh32oLRoZh9sdYJvmO9Jz1b7eFal2U7A+yj0id12rp/8EW epU/ouZsZuLbkZHtfoO2EMruXzcngIl2lyEX3xFbDF1d2DnixcRs7P1bfowV iF60aMhFnqwXR83Bdc0KRCT29Zo0GsAiv/Uu58gK7F2fWFd02ACL2zddplSv wJRk/t+Xlxvg0ZmD+ZFadjD1PLDA/4I+zCRU55xMtsNcI49C7zn6EJmVCIn9 aodw3qMP+d56MH56S3OBpz2CsrJ/2RToglkjwbe7Y4+e3m1d7u91MBFd/1Fl lQOeOZqWyZ/UBnGhtXxm1AF1qpoex8n+r+miRJzVmAPyN7xdMZc0a56yZTxp 27Ims61cBqQrJ6bvkS5Vn9XqMWNAs+Fm1STp7ydCpL1I08xsE3g/SdMX/qgx ZcC7VGm2lPTO+OY7Z00YqE2xTTQed8B8r4TQJGMGJP5unrlOOuXpYrkgsh+N MHN+nTvtgFvr5J3VdBgQXSgVlSAiRMi8eecb1RhQzOl7unG+EMcjtqjEyzKg 87W021FSCHO9R1e0RBnobD32w9xSCJcQCcewLDpKKCXOFDshjNfwQ0zi6Phi 1/+r1FGILQc7hVORdPgWZISGuglRGplbXrmRjm2BafnUlULoSrSV7fShI5NH c0r1FyJ1wdCmLms6XGxmZkf+EOLJ64i1Rkw6mpUjK9dGCfFb/8PxCCU69v/R nvOuSIgHS89wilK18LunMmd5txDdzK91LdOaUApNXbJbxRGNQbEhw6Ga+B7n kZzp4Yjnb8PNFryhQdMoIMLpoSN+ZN39Tb9ERfL+1yMhhk6QW7q3/MhLDah0 umV+ynfC/OYTAWI26uAZduRUSDnjzJaemrFTKnhwLZTVs8sZTZJvOlLblCHO sz9zkeOCm97vdvrOlwfFuibMs8cFAY4m98c/iiPQudTv6QlXiCU+1ZZOmiGK LV08Bmzc8Lnl36g9e7sI3/AymT+S3ECh4PmUTd7y/wHa487L "]]}, {{}, {}, {}}}}, AspectRatio->Automatic, Axes->False, AxesOrigin->{0, 0}, Background->GrayLevel[1], BaseStyle->{ Thickness[0.004], FontFamily -> "Helvetica"}, Frame->True, FrameTicks->{{True, None}, {True, None}}, FrameTicksStyle->10, ImageSize->{461., Automatic}, LabelStyle->12, Method->Automatic, PlotRange->{{0., 80.}, {0., 25.}}, PlotRangeClipping->True, Ticks->Automatic, TicksStyle->10]], "Output", ShowCellBracket->True, CellChangeTimes->{3.4430787651875*^9, 3.44475383546875*^9, 3.4450383713635883`*^9, 3.445106385453125*^9, 3.4512155745625*^9}, CellTags->"Section3"] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell["Duffing equation: Strange attractor", "Section", ShowCellBracket->True, CellChangeTimes->{{3.463078121206918*^9, 3.463078148710821*^9}, { 3.4630782554398937`*^9, 3.463078262782249*^9}, 3.463566762665009*^9, { 3.463566822764751*^9, 3.463566907963891*^9}, {3.4638468577155046`*^9, 3.463846858657291*^9}, 3.4638469440268927`*^9, 3.464382377733473*^9, 3.4652088979785347`*^9}], Cell["\<\ Book discusses how one can checking correctness of numerical solutions.\ \>", "Text", ShowCellBracket->True, CellChangeTimes->{{3.464382382020273*^9, 3.464382392187744*^9}}], Cell[BoxData[ RowBox[{"DuffingEquation", "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "1", ",", "0.15", ",", "0.3", ",", "1"}], "}"}], ",", RowBox[{"x", "[", "t", "]"}]}], "]"}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.463919661917418*^9, 3.463919674185458*^9}}], Cell[TextData[{ "Following illustrates the Poincar\[EAcute] section function in the package, \ but uses it in 3-D, breaking up the solutions ", Cell[BoxData[ FormBox[ RowBox[{"mod", " ", "2", "\[Pi]"}], TraditionalForm]]], "." }], "Text", ShowCellBracket->True, CellChangeTimes->{{3.4643824284938097`*^9, 3.464382453336444*^9}}], Cell[BoxData[ RowBox[{ RowBox[{"Clear", "[", RowBox[{"t", ",", "x", ",", "y"}], "]"}], ";", RowBox[{"Manipulate", "[", RowBox[{ RowBox[{ RowBox[{"sol", "=", RowBox[{ RowBox[{"x", "[", "t", "]"}], "/.", "\[InvisibleSpace]", RowBox[{"First", "[", RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"DuffingEquation", "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "1", ",", "0.15", ",", "0.3", ",", "1"}], "}"}], ",", RowBox[{"x", "[", "t", "]"}]}], "]"}], ",", RowBox[{ RowBox[{"x", "[", "0", "]"}], "\[Equal]", "a"}], ",", RowBox[{ RowBox[{ SuperscriptBox["x", "\[Prime]", MultilineFunction->None], "[", "0", "]"}], "\[Equal]", "b"}]}], "}"}], ",", RowBox[{"x", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tmaxForDE"}], "}"}], ",", RowBox[{"MaxSteps", "\[Rule]", "\[Infinity]"}]}], "]"}], "]"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"Show", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"ParametricPlot3D", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"{", RowBox[{ RowBox[{"Mod", "[", RowBox[{"t", ",", RowBox[{"2", "\[Pi]"}]}], "]"}], ",", "sol", ",", RowBox[{ SubscriptBox["\[PartialD]", "t"], "sol"}]}], "}"}], "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "tmaxForDE"}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Purple", ",", RowBox[{"Thickness", "[", "0.004", "]"}]}], "}"}]}], ",", " ", RowBox[{"Exclusions", "\[Rule]", " ", RowBox[{"Table", "[", RowBox[{ RowBox[{"2", " ", "\[Pi]", " ", "i"}], ",", " ", RowBox[{"{", RowBox[{"i", ",", " ", "0", ",", " ", "100"}], "}"}]}], "]"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Graphics3D", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"PointSize", "[", "0.002", "]"}], ",", "Red", ",", RowBox[{"Point", "[", "ps", "]"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"Blue", ",", RowBox[{"PointSize", "[", "0.02", "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{"0", ",", " ", "a", ",", "b"}], "}"}], "]"}], ",", RowBox[{"Point", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{ RowBox[{"{", " ", RowBox[{ RowBox[{"2", "\[Pi]"}], ",", "sol", ",", RowBox[{ SubscriptBox["\[PartialD]", "t"], "sol"}]}], "}"}], "/.", "\[InvisibleSpace]", RowBox[{"t", "\[Rule]", RowBox[{"2", " ", "\[Pi]", " ", "i"}]}]}], "]"}], ",", RowBox[{"{", RowBox[{"i", ",", FractionBox["tmaxForDE", RowBox[{"2", " ", "\[Pi]"}]]}], "}"}]}], "]"}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"Gray", ",", RowBox[{"Line", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "j", ",", RowBox[{"-", "1.2"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "j", ",", "1.2"}], "}"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"j", ",", RowBox[{"-", "1.5"}], ",", "1.5", ",", ".5"}], "}"}]}], "]"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Line", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", RowBox[{"-", "1.4"}], ",", "j"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"0", ",", "1.7", ",", "j"}], "}"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"j", ",", RowBox[{"-", "1"}], ",", "1", ",", ".25"}], "}"}]}], "]"}], "]"}]}], "}"}]}], "}"}], "]"}], ",", RowBox[{"ImageSize", "\[Rule]", "400"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0.001", ",", " ", "6.28"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1.4"}], ",", "1.7"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "0.7"}], ",", "1.2"}], "}"}]}], "}"}]}], ",", RowBox[{"BoxRatios", "\[Rule]", RowBox[{"{", RowBox[{"6.4", ",", " ", "3", ",", "2.6"}], "}"}]}], ",", "\[IndentingNewLine]", RowBox[{"TicksStyle", "\[Rule]", "14"}], ",", RowBox[{"Ticks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"Range", "[", RowBox[{"0", ",", RowBox[{"2", "\[Pi]"}], ",", "\[Pi]"}], "]"}], ",", " ", RowBox[{"Range", "[", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "]"}], ",", " ", RowBox[{"Range", "[", RowBox[{ RowBox[{"-", ".5"}], ",", "1", ",", ".5"}], "]"}]}], "}"}]}], ",", RowBox[{"LabelStyle", "\[Rule]", "16"}], ",", RowBox[{"AxesLabel", "\[Rule]", RowBox[{"{", RowBox[{"\"\<\!\(\* StyleBox[\"t\", FontSlant->\"Italic\"]\) (mod 2\[ThinSpace]\[Pi])\>\"", ",", " ", "\"\<\!\(\* StyleBox[\"x\", FontSlant->\"Italic\"]\)\>\"", ",", " ", "\"\<\!\(\*SuperscriptBox[ StyleBox[\"x\", FontSlant->\"Italic\"], \"\[Prime]\"]\)\>\""}], "}"}]}], ",", RowBox[{"ViewPoint", "\[Rule]", RowBox[{"3", RowBox[{"{", RowBox[{ RowBox[{"-", "1.6"}], ",", " ", RowBox[{"-", "2"}], ",", " ", ".4"}], "}"}]}]}], ",", " ", RowBox[{"AxesEdge", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", RowBox[{"-", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", RowBox[{"-", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}]}], "}"}]}]}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"a", ",", "0", ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "b", ",", "0", ",", " ", "\"\<\!\(\*SuperscriptBox[\(x\), \(\[Prime]\)]\)(0)\>\""}], "}"}], ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"tmaxForDE", ",", "15", ",", "\"\\""}], "}"}], ",", "0.001", ",", "150"}], "}"}], ",", RowBox[{"TrackedSymbols", "\[Rule]", RowBox[{"{", RowBox[{"a", ",", "b", ",", "tmaxForDE"}], "}"}]}], ",", RowBox[{"TrackedSymbols", "->", "Manipulate"}], ",", " ", RowBox[{"Initialization", " ", ":>", " ", RowBox[{"(", RowBox[{ RowBox[{"Needs", "[", "\"\\"", "]"}], ";", RowBox[{"ps", " ", "=", RowBox[{ RowBox[{ RowBox[{"Prepend", "[", RowBox[{"#", ",", " ", RowBox[{"2", "\[Pi]"}]}], "]"}], "&"}], " ", "/@", " ", RowBox[{ RowBox[{"PoincareSection", "[", RowBox[{ RowBox[{"DuffingEquation", "[", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "1", ",", "0.15", ",", "0.3", ",", "1"}], "}"}], ",", RowBox[{"x", "[", "t", "]"}]}], "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", RowBox[{"2", " ", "\[Pi]", " ", "3000"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1.5"}], ",", "1.5"}], "}"}], ",", RowBox[{"{", RowBox[{ SuperscriptBox["x", "\[Prime]", MultilineFunction->None], ",", RowBox[{"-", "1.3"}], ",", "1.3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"TimeInterval", "\[Rule]", RowBox[{"2", " ", "\[Pi]"}]}], ",", RowBox[{"SavePoints", "\[Rule]", "True"}], ",", RowBox[{"MaxSteps", "\[Rule]", "\[Infinity]"}]}], "]"}], "[", RowBox[{"[", "2", "]"}], "]"}]}]}]}], ")"}]}]}], "]"}]}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.4528574307457123`*^9, 3.4528575055067987`*^9}, { 3.4528575365078373`*^9, 3.452857547037138*^9}, {3.453050732414345*^9, 3.453050743911277*^9}, {3.453208915936965*^9, 3.453209052808873*^9}, { 3.45321196325344*^9, 3.4532125087982903`*^9}, {3.453212539016368*^9, 3.453212551863942*^9}, {3.4533843329589148`*^9, 3.453384512241948*^9}, { 3.453384606718877*^9, 3.4533846237077103`*^9}, {3.453384704440694*^9, 3.453384717165308*^9}, {3.4533847752216988`*^9, 3.453384856129757*^9}, { 3.45338490942129*^9, 3.4533849371719103`*^9}, {3.453384969919722*^9, 3.4533850004618998`*^9}, {3.4533885275056057`*^9, 3.453388611566112*^9}, { 3.453388678321018*^9, 3.453388711479083*^9}, {3.4533888446488113`*^9, 3.45338885428623*^9}, {3.453388934593287*^9, 3.453389064612064*^9}, { 3.453389100368155*^9, 3.453389100456624*^9}, {3.453389148801467*^9, 3.453389202007247*^9}, {3.453389232263424*^9, 3.4533892481196938`*^9}, { 3.453389476016547*^9, 3.453389545046816*^9}, {3.453389583130288*^9, 3.453389700979405*^9}, {3.453389768059428*^9, 3.453389781239911*^9}, { 3.453389915847374*^9, 3.4533899457962313`*^9}, 3.453414016096684*^9, { 3.453414096527031*^9, 3.45341410338389*^9}, {3.453414135269823*^9, 3.4534141510125313`*^9}, {3.453414260929923*^9, 3.453414275252532*^9}, { 3.453414338808351*^9, 3.453414411452784*^9}, {3.453414473249219*^9, 3.453414633643128*^9}, {3.4534146981377993`*^9, 3.453414839076054*^9}, { 3.4534148746598387`*^9, 3.453415011060244*^9}, {3.4534604414799232`*^9, 3.453460475500806*^9}, {3.4535639822617702`*^9, 3.453564011085189*^9}, { 3.4535640534061203`*^9, 3.453564090229519*^9}, {3.45356413272502*^9, 3.4535641843104067`*^9}, {3.453564218856803*^9, 3.453564253383459*^9}, { 3.4536245122615557`*^9, 3.453624517137722*^9}, {3.463919597854746*^9, 3.463919625516156*^9}, {3.4642809962971973`*^9, 3.464281001018821*^9}}] }, Closed]], Cell[CellGroupData[{ Cell["Some new demos", "Section", ShowCellBracket->True, CellChangeTimes->{{3.463078121206918*^9, 3.463078148710821*^9}, { 3.4630782554398937`*^9, 3.463078262782249*^9}, 3.463566762665009*^9, { 3.463566822764751*^9, 3.463566907963891*^9}, {3.4638468577155046`*^9, 3.463846858657291*^9}, {3.4638469440268927`*^9, 3.463846945787601*^9}, { 3.4642819177215767`*^9, 3.464281921769608*^9}, {3.46520894471371*^9, 3.465208948559402*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"MakePhasePlotDemo", "[", "]"}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.464281011220117*^9, 3.464281022810117*^9}}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{VisualDSolve`VisualDSolve`Private`ar$$ = 0.62, VisualDSolve`VisualDSolve`Private`col$$ = { RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]}, VisualDSolve`VisualDSolve`Private`eqns$$ = { Derivative[ 1][$CellContext`x][$CellContext`t] == $CellContext`y[$CellContext`t], Derivative[1][$CellContext`y][$CellContext`t] == (-8) Sin[ $CellContext`x[$CellContext`t]]}, VisualDSolve`VisualDSolve`Private`eqQ$$ = True, VisualDSolve`VisualDSolve`Private`ffcol$$ = GrayLevel, VisualDSolve`VisualDSolve`Private`ffQ$$ = False, VisualDSolve`VisualDSolve`Private`iv$$ = {{0, 2.5}, {-5.87, -6.1}, {-3, 7}}, VisualDSolve`VisualDSolve`Private`ncQ$$ = True, VisualDSolve`VisualDSolve`Private`t0$$ = 0, VisualDSolve`VisualDSolve`Private`tint$$ = 2 Pi, VisualDSolve`VisualDSolve`Private`xMin$$ = -10, VisualDSolve`VisualDSolve`Private`xRange$$ = 20, VisualDSolve`VisualDSolve`Private`yMin$$ = -10, VisualDSolve`VisualDSolve`Private`yRange$$ = 20, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[ VisualDSolve`VisualDSolve`Private`iv$$], {{0, 2.5}, {-3, 2}, {-3, 7}}}, Automatic}, {{ Hold[VisualDSolve`VisualDSolve`Private`eqns$$], { Derivative[ 1][$CellContext`x][$CellContext`t] == $CellContext`y[$CellContext`t], Derivative[1][$CellContext`y][$CellContext`t] == (-8) Sin[ $CellContext`x[$CellContext`t]]}, "pair of differential equations in x[t], y[t] or second-order equation \ in x[t]"}}, {{ Hold[VisualDSolve`VisualDSolve`Private`t0$$], 0, "start time"}, -20, 20}, {{ Hold[VisualDSolve`VisualDSolve`Private`tint$$], 2 Pi, "time interval"}, 0.1, 40}, {{ Hold[VisualDSolve`VisualDSolve`Private`ffQ$$], False, "flow field"}, { True, False}}, {{ Hold[VisualDSolve`VisualDSolve`Private`ncQ$$], True, "nullclines"}, { True, False}}, {{ Hold[VisualDSolve`VisualDSolve`Private`eqQ$$], True, "equilibrium points"}, {True, False}}, {{ Hold[VisualDSolve`VisualDSolve`Private`ar$$], 0.62, "aspect ratio"}, { 0.62, Automatic, 1}}, {{ Hold[VisualDSolve`VisualDSolve`Private`col$$], { RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]}, "nullcline shading colors"}, {{ RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]} -> "Pastels", { RGBColor[1, 0, 0], RGBColor[0, Rational[2, 3], 0], RGBColor[ Rational[1, 3], Rational[1, 3], 1], RGBColor[1, 1, 0]} -> "BrightColors", { GrayLevel[0.32], GrayLevel[0.6], GrayLevel[0.8], GrayLevel[0.46]} -> "Grays"}}, {{ Hold[VisualDSolve`VisualDSolve`Private`ffcol$$], GrayLevel, "flowfield color"}, { GrayLevel, Hue, VisualDSolve`VisualDSolve`RandomGrayLevel, VisualDSolve`VisualDSolve`RandomHue}}, { Hold[ Row[{"flow field", Checkbox[ Dynamic[VisualDSolve`VisualDSolve`Private`ffQ$$]], Spacer[40], "nullcline region", Checkbox[ Dynamic[VisualDSolve`VisualDSolve`Private`ncQ$$]], Spacer[40], "equilibrium points", Checkbox[ Dynamic[VisualDSolve`VisualDSolve`Private`eqQ$$]], Spacer[40]}]], Manipulate`Dump`ThisIsNotAControl}, { Hold[ Row[{"aspect ratio", SetterBar[ Dynamic[VisualDSolve`VisualDSolve`Private`ar$$], { 0.62, Automatic, 1}], Spacer[30], "nullcline shading colors", SetterBar[ Dynamic[VisualDSolve`VisualDSolve`Private`col$$], {{ RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]} -> "pastels", { RGBColor[1, 0, 0], RGBColor[0, Rational[2, 3], 0], RGBColor[ Rational[1, 3], Rational[1, 3], 1], RGBColor[1, 1, 0]} -> "bright colors", { GrayLevel[0.32], GrayLevel[0.6], GrayLevel[0.8], GrayLevel[0.46]} -> "grays"}], Spacer[30], "flowfield color", SetterBar[ Dynamic[VisualDSolve`VisualDSolve`Private`ffcol$$], { GrayLevel -> "grays", Hue -> "hue", VisualDSolve`VisualDSolve`RandomGrayLevel -> "random grays", VisualDSolve`VisualDSolve`RandomHue -> "random hues"}]}]], Manipulate`Dump`ThisIsNotAControl}, {{ Hold[VisualDSolve`VisualDSolve`Private`yMin$$], -10, "min y-value"}, -20, 20}, {{ Hold[VisualDSolve`VisualDSolve`Private`yRange$$], 20, "total y range"}, 0, 50}, {{ Hold[VisualDSolve`VisualDSolve`Private`xMin$$], -10, "min x-value"}, -20, 20}, {{ Hold[VisualDSolve`VisualDSolve`Private`xRange$$], 20, "total x range"}, 0, 50}}, Typeset`size$$ = {400., {132., 137.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, VisualDSolve`VisualDSolve`Private`t0$49040$$ = 0, VisualDSolve`VisualDSolve`Private`tint$49041$$ = 0, VisualDSolve`VisualDSolve`Private`ffQ$49042$$ = False, VisualDSolve`VisualDSolve`Private`ncQ$49043$$ = False, VisualDSolve`VisualDSolve`Private`eqQ$49044$$ = False, VisualDSolve`VisualDSolve`Private`ar$49045$$ = 0, VisualDSolve`VisualDSolve`Private`col$49046$$ = False, VisualDSolve`VisualDSolve`Private`ffcol$49047$$ = 0, VisualDSolve`VisualDSolve`Private`yMin$49048$$ = 0, VisualDSolve`VisualDSolve`Private`yRange$49049$$ = 0, VisualDSolve`VisualDSolve`Private`xMin$49050$$ = 0, VisualDSolve`VisualDSolve`Private`xRange$49051$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> { VisualDSolve`VisualDSolve`Private`ar$$ = 0.62, VisualDSolve`VisualDSolve`Private`col$$ = { RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]}, VisualDSolve`VisualDSolve`Private`eqns$$ = { Derivative[ 1][$CellContext`x][$CellContext`t] == \ $CellContext`y[$CellContext`t], Derivative[1][$CellContext`y][$CellContext`t] == (-8) Sin[ $CellContext`x[$CellContext`t]]}, VisualDSolve`VisualDSolve`Private`eqQ$$ = True, VisualDSolve`VisualDSolve`Private`ffcol$$ = GrayLevel, VisualDSolve`VisualDSolve`Private`ffQ$$ = False, VisualDSolve`VisualDSolve`Private`iv$$ = {{0, 2.5}, {-3, 2}, {-3, 7}}, VisualDSolve`VisualDSolve`Private`ncQ$$ = True, VisualDSolve`VisualDSolve`Private`t0$$ = 0, VisualDSolve`VisualDSolve`Private`tint$$ = 2 Pi, VisualDSolve`VisualDSolve`Private`xMin$$ = -10, VisualDSolve`VisualDSolve`Private`xRange$$ = 20, VisualDSolve`VisualDSolve`Private`yMin$$ = -10, VisualDSolve`VisualDSolve`Private`yRange$$ = 20}, "ControllerVariables" :> { Hold[ VisualDSolve`VisualDSolve`Private`t0$$, VisualDSolve`VisualDSolve`Private`t0$49040$$, 0], Hold[ VisualDSolve`VisualDSolve`Private`tint$$, VisualDSolve`VisualDSolve`Private`tint$49041$$, 0], Hold[ VisualDSolve`VisualDSolve`Private`ffQ$$, VisualDSolve`VisualDSolve`Private`ffQ$49042$$, False], Hold[ VisualDSolve`VisualDSolve`Private`ncQ$$, VisualDSolve`VisualDSolve`Private`ncQ$49043$$, False], Hold[ VisualDSolve`VisualDSolve`Private`eqQ$$, VisualDSolve`VisualDSolve`Private`eqQ$49044$$, False], Hold[ VisualDSolve`VisualDSolve`Private`ar$$, VisualDSolve`VisualDSolve`Private`ar$49045$$, 0], Hold[ VisualDSolve`VisualDSolve`Private`col$$, VisualDSolve`VisualDSolve`Private`col$49046$$, False], Hold[ VisualDSolve`VisualDSolve`Private`ffcol$$, VisualDSolve`VisualDSolve`Private`ffcol$49047$$, 0], Hold[ VisualDSolve`VisualDSolve`Private`yMin$$, VisualDSolve`VisualDSolve`Private`yMin$49048$$, 0], Hold[ VisualDSolve`VisualDSolve`Private`yRange$$, VisualDSolve`VisualDSolve`Private`yRange$49049$$, 0], Hold[ VisualDSolve`VisualDSolve`Private`xMin$$, VisualDSolve`VisualDSolve`Private`xMin$49050$$, 0], Hold[ VisualDSolve`VisualDSolve`Private`xRange$$, VisualDSolve`VisualDSolve`Private`xRange$49051$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> (VisualDSolve`VisualDSolve`Private`stayinQ = True; VisualDSolve`VisualDSolve`Private`eqns1 = If[ ListQ[VisualDSolve`VisualDSolve`Private`eqns$$], VisualDSolve`VisualDSolve`Private`eqns$$, VisualDSolve`VisualDSolve`ToSystem[ VisualDSolve`VisualDSolve`Private`eqns$$, $CellContext`x[$CellContext`t], $CellContext`t, VisualDSolve`VisualDSolve`AuxiliaryVariables -> $CellContext`y]]; If[VisualDSolve`VisualDSolve`Private`stayinQ, First, Identity][ VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`eqns1, { $CellContext`x[$CellContext`t], $CellContext`y[$CellContext`t]}, {$CellContext`t, VisualDSolve`VisualDSolve`Private`t0$$, VisualDSolve`VisualDSolve`Private`t0$$ + VisualDSolve`VisualDSolve`Private`tint$$}, {$CellContext`x, VisualDSolve`VisualDSolve`Private`xMin$$, VisualDSolve`VisualDSolve`Private`xMin$$ + VisualDSolve`VisualDSolve`Private`xRange$$}, {$CellContext`y, VisualDSolve`VisualDSolve`Private`yMin$$, VisualDSolve`VisualDSolve`Private`yMin$$ + VisualDSolve`VisualDSolve`Private`yRange$$}, VisualDSolve`VisualDSolve`InitialValues -> VisualDSolve`VisualDSolve`Private`iv$$, VisualDSolve`VisualDSolve`FastPlotting -> True, PlotStyle -> Thickness[0.005], VisualDSolve`VisualDSolve`NullclineShading -> VisualDSolve`VisualDSolve`Private`ncQ$$, VisualDSolve`VisualDSolve`NullclineRegionColors -> VisualDSolve`VisualDSolve`Private`col$$, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 60, VisualDSolve`VisualDSolve`StayInWindow -> VisualDSolve`VisualDSolve`Private`stayinQ, VisualDSolve`VisualDSolve`FlowField -> VisualDSolve`VisualDSolve`Private`ffQ$$, VisualDSolve`VisualDSolve`FieldColor -> VisualDSolve`VisualDSolve`Private`ffcol$$, VisualDSolve`VisualDSolve`ShowEquilibria -> VisualDSolve`VisualDSolve`Private`eqQ$$, ImagePadding -> 27, ImageSize -> 400, AspectRatio -> VisualDSolve`VisualDSolve`Private`ar$$]]), "Specifications" :> {{{ VisualDSolve`VisualDSolve`Private`iv$$, {{0, 2.5}, {-3, 2}, {-3, 7}}}, Automatic, ControlType -> Locator, LocatorAutoCreate -> True}, {{ VisualDSolve`VisualDSolve`Private`eqns$$, { Derivative[ 1][$CellContext`x][$CellContext`t] == \ $CellContext`y[$CellContext`t], Derivative[1][$CellContext`y][$CellContext`t] == (-8) Sin[ $CellContext`x[$CellContext`t]]}, "pair of differential equations in x[t], y[t] or second-order \ equation in x[t]"}}, {{ VisualDSolve`VisualDSolve`Private`t0$$, 0, "start time"}, -20, 20}, {{VisualDSolve`VisualDSolve`Private`tint$$, 2 Pi, "time interval"}, 0.1, 40}, {{ VisualDSolve`VisualDSolve`Private`ffQ$$, False, "flow field"}, { True, False}, ControlType -> None}, {{ VisualDSolve`VisualDSolve`Private`ncQ$$, True, "nullclines"}, { True, False}, ControlType -> None}, {{ VisualDSolve`VisualDSolve`Private`eqQ$$, True, "equilibrium points"}, {True, False}, ControlType -> None}, {{ VisualDSolve`VisualDSolve`Private`ar$$, 0.62, "aspect ratio"}, { 0.62, Automatic, 1}, ControlType -> None}, {{ VisualDSolve`VisualDSolve`Private`col$$, { RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]}, "nullcline shading colors"}, {{ RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]} -> "Pastels", { RGBColor[1, 0, 0], RGBColor[0, Rational[2, 3], 0], RGBColor[ Rational[1, 3], Rational[1, 3], 1], RGBColor[1, 1, 0]} -> "BrightColors", { GrayLevel[0.32], GrayLevel[0.6], GrayLevel[0.8], GrayLevel[0.46]} -> "Grays"}, ControlType -> None}, {{ VisualDSolve`VisualDSolve`Private`ffcol$$, GrayLevel, "flowfield color"}, { GrayLevel, Hue, VisualDSolve`VisualDSolve`RandomGrayLevel, VisualDSolve`VisualDSolve`RandomHue}, ControlType -> None}, Row[{"flow field", Checkbox[ Dynamic[VisualDSolve`VisualDSolve`Private`ffQ$$]], Spacer[40], "nullcline region", Checkbox[ Dynamic[VisualDSolve`VisualDSolve`Private`ncQ$$]], Spacer[40], "equilibrium points", Checkbox[ Dynamic[VisualDSolve`VisualDSolve`Private`eqQ$$]], Spacer[40]}], Row[{"aspect ratio", SetterBar[ Dynamic[VisualDSolve`VisualDSolve`Private`ar$$], { 0.62, Automatic, 1}], Spacer[30], "nullcline shading colors", SetterBar[ Dynamic[VisualDSolve`VisualDSolve`Private`col$$], {{ RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]} -> "pastels", { RGBColor[1, 0, 0], RGBColor[0, Rational[2, 3], 0], RGBColor[ Rational[1, 3], Rational[1, 3], 1], RGBColor[1, 1, 0]} -> "bright colors", { GrayLevel[0.32], GrayLevel[0.6], GrayLevel[0.8], GrayLevel[0.46]} -> "grays"}], Spacer[30], "flowfield color", SetterBar[ Dynamic[VisualDSolve`VisualDSolve`Private`ffcol$$], { GrayLevel -> "grays", Hue -> "hue", VisualDSolve`VisualDSolve`RandomGrayLevel -> "random grays", VisualDSolve`VisualDSolve`RandomHue -> "random hues"}]}], {{ VisualDSolve`VisualDSolve`Private`yMin$$, -10, "min y-value"}, -20, 20, ControlPlacement -> Left, BaselinePosition -> Automatic, Appearance -> "Open"}, {{ VisualDSolve`VisualDSolve`Private`yRange$$, 20, "total y range"}, 0, 50, ControlPlacement -> Left, BaselinePosition -> Automatic, Appearance -> "Open"}, {{ VisualDSolve`VisualDSolve`Private`xMin$$, -10, "min x-value"}, -20, 20, ControlPlacement -> Left, BaselinePosition -> Automatic, Appearance -> "Open"}, {{ VisualDSolve`VisualDSolve`Private`xRange$$, 20, "total x range"}, 0, 50, ControlPlacement -> Left, BaselinePosition -> Automatic, Appearance -> "Open"}}, "Options" :> {TrackedSymbols -> Manipulate}, "DefaultOptions" :> {ControlPlacement -> Top}], ImageSizeCache->{765., {240.6875, 251.3125}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>(Needs["VisualDSolve`VisualDSolve`"]; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", ShowCellBracket->True, CellChangeTimes->{3.451747410625*^9, 3.4642810233803663`*^9}] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Chapter 18: Miscellaneous New Topics", "Section", ShowCellBracket->True, CellChangeTimes->{{3.464281942825425*^9, 3.4642819485451202`*^9}, { 3.465156672099284*^9, 3.465156681467478*^9}}], Cell[CellGroupData[{ Cell["Square wheels", "Subsubsection", ShowCellBracket->True, CellChangeTimes->{{3.465156708474553*^9, 3.465156710674576*^9}}], Cell["\<\ Square wheel demo: general: LOTS of computation here!\ \>", "Text", ShowCellBracket->True, CellChangeTimes->{{3.463078121206918*^9, 3.463078148710821*^9}, { 3.4630782554398937`*^9, 3.463078262782249*^9}, 3.463566762665009*^9, { 3.463566822764751*^9, 3.463566907963891*^9}, {3.4638468577155046`*^9, 3.463846858657291*^9}, {3.4638469440268927`*^9, 3.463846972160103*^9}, 3.463847222784162*^9, 3.464281935641719*^9}], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`fname$2799$$ = "infinite cosine", $CellContext`xval$2799$$ = 0.7309446931159798, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`xval$2799$$], 0, "position on \!\(\*\nStyleBox[\"x\",\nFontSlant->\"Italic\"]\)-axis"}, \ -5.6, 8 Pi}, {{ Hold[$CellContext`fname$2799$$], "linked catenaries for square wheel", "road shape"}, { "linked catenaries for square wheel", "linked catenaries for triangular wheel", "catenary", "2-loop cosine", "3-loop cosine", "infinite cosine", "parabola: road = wheel", "4-loop sawtooth"}}}, Typeset`size$$ = {400., {91.1875, 101.8125}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`xval$2799$2801$$ = 0, $CellContext`fname$2799$2802$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`fname$2799$$ = "linked catenaries for square wheel", $CellContext`xval$2799$$ = 0}, "ControllerVariables" :> { Hold[$CellContext`xval$2799$$, $CellContext`xval$2799$2801$$, 0], Hold[$CellContext`fname$2799$$, $CellContext`fname$2799$2802$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Module[{$CellContext`tt$, $CellContext`wheel$, $CellContext`tminBig$, \ $CellContext`tmaxBig$, $CellContext`f$}, {$CellContext`tmin$2799, \ $CellContext`tmax$2799} = Which[$CellContext`fname$2799$$ === "catenary", {-4, 4}, $CellContext`fname$2799$$ === "2-loop cosine", { 0, 4 Pi}, $CellContext`fname$2799$$ === "3-loop cosine", { 0, 6 Pi}, $CellContext`fname$2799$$ === "4-loop sawtooth", { 0, 8 $CellContext`c$2799}, True, {-20, 30}]; {$CellContext`tminBig$, $CellContext`tmaxBig$} = {-20, 30}; $CellContext`f$ = ReplaceAll[$CellContext`fname$2799$$, { "linked catenaries for square wheel" -> - Cosh[$CellContext`t$2799 - (2 ArcSinh[1]) Quotient[$CellContext`t$2799 + ArcSinh[1], 2 ArcSinh[1]]], "linked catenaries for triangular wheel" -> - Cosh[$CellContext`t$2799 - (2 ArcSinh[3^Rational[1, 2]]) Quotient[$CellContext`t$2799 + ArcSinh[3^Rational[1, 2]], 2 ArcSinh[3^Rational[1, 2]]]], "catenary" -> -Cosh[$CellContext`t$2799], "2-loop cosine" -> -5^Rational[1, 2] + Cos[$CellContext`t$2799], "3-loop cosine" -> -10^Rational[1, 2] + Cos[$CellContext`t$2799], "infinite cosine" -> -2 + Cos[$CellContext`t$2799], "parabola: road = wheel" -> -(1/4) - $CellContext`t$2799^2, "4-loop sawtooth" -> $CellContext`V$2799[$CellContext`t$2799 - ( 2 $CellContext`c$2799) Quotient[$CellContext`c$2799 + $CellContext`t$2799, 2 $CellContext`c$2799]]}]; If[$CellContext`fname$2799$$ === "catenary", $CellContext`xval$2799$$ = Max[ Min[$CellContext`xval$2799$$, 3], -3]]; $CellContext`\[Theta]S$2799 = \ $CellContext`\[Theta]Sol$2799[$CellContext`f$, {$CellContext`tminBig$, \ $CellContext`tmaxBig$}]; $CellContext`transform$2799[ Pattern[$CellContext`pt$, Blank[]], Pattern[$CellContext`tval$, Blank[]]] := TranslationTransform[{$CellContext`tval$, 0}][ RotationTransform[ ReplaceAll[-(Pi/ 2) - $CellContext`\[Theta]S$2799, $CellContext`t$2799 -> \ $CellContext`tval$]][$CellContext`pt$]]; $CellContext`wheel$ = ParametricPlot[ Evaluate[ $CellContext`transform$2799[ ReplaceAll[(-$CellContext`f$) { Cos[$CellContext`\[Theta]S$2799], Sin[$CellContext`\[Theta]S$2799]}, $CellContext`t$2799 -> \ $CellContext`tt$], $CellContext`xval$2799$$]], {$CellContext`tt$, \ $CellContext`tmin$2799, $CellContext`tmax$2799}, PlotStyle -> Thick, PlotPoints -> 50]; Column[{ Style[ StringForm["road equation: ``", $CellContext`lab$2799[$CellContext`fname$2799$$]], FontFamily -> "Helvetica", 12], Show[ Graphics[{ EdgeForm[], FaceForm[ Lighter[Yellow]], Which[$CellContext`fname$2799$$ === "linked catenaries for square wheel", ReplaceAll[ Polygon[{{-1, -1}, {1, -1}, {1, 1}, {-1, 1}}], { PatternTest[ Pattern[$CellContext`xx$, Blank[]], NumericQ], Pattern[$CellContext`yy$, Blank[]]} :> {$CellContext`xval$2799$$, 0} + RotationTransform[ ReplaceAll[-(Pi/ 2) - $CellContext`\[Theta]S$2799, $CellContext`t$2799 -> \ $CellContext`xval$2799$$]][{$CellContext`xx$, $CellContext`yy$}]], \ $CellContext`fname$2799$$ === "linked catenaries for triangular wheel", ReplaceAll[ Polygon[{{-3^Rational[1, 2], -1}, {3^Rational[1, 2], -1}, {0, 2}}], { PatternTest[ Pattern[$CellContext`xx$, Blank[]], NumericQ], Pattern[$CellContext`yy$, Blank[]]} :> {$CellContext`xval$2799$$, 0} + RotationTransform[ ReplaceAll[-(Pi/ 2) - $CellContext`\[Theta]S$2799, $CellContext`t$2799 -> \ $CellContext`xval$2799$$]][{$CellContext`xx$, $CellContext`yy$}]], Or[$CellContext`fname$2799$$ === "3-loop cosine", $CellContext`fname$2799$$ === "2-loop cosine"], Cases[ Normal[$CellContext`wheel$], Line[ Pattern[$CellContext`z, Blank[]]] :> Polygon[$CellContext`z], Infinity], $CellContext`fname$2799$$ == "4-loop sawtooth", Cases[ Normal[$CellContext`wheel$], Line[ Pattern[$CellContext`z, Blank[]]] :> Polygon[$CellContext`z], Infinity], True, {}]}], $CellContext`wheel$, $CellContext`road$2799[$CellContext`f$], Graphics[{ PointSize[0.018], Point[$CellContext`cen = {$CellContext`xval$2799$$, 0}], PointSize[ 0.015], $CellContext`tangentPt = ReplaceAll[(-$CellContext`f$) { Cos[$CellContext`\[Theta]S$2799], Sin[$CellContext`\[Theta]S$2799]}, $CellContext`t$2799 -> \ $CellContext`xval$2799$$]; $CellContext`tangentPtOrig = ReplaceAll[{0, $CellContext`f$}, $CellContext`t$2799 -> 0]; Point[ $CellContext`transform$2799[$CellContext`tangentPt, \ $CellContext`xval$2799$$]], Point[{$CellContext`xval$2799$$, 0} + RotationTransform[ ReplaceAll[-(Pi/ 2) - $CellContext`\[Theta]S$2799, $CellContext`t$2799 -> \ $CellContext`xval$2799$$]][$CellContext`tangentPtOrig]], Line[{$CellContext`cen, $CellContext`transform$2799[$CellContext`tangentPtOrig, \ $CellContext`xval$2799$$]}]}], PlotRange -> $CellContext`pr$2799[$CellContext`fname$2799$$], PlotRangeClipping -> True, Frame -> True, FrameTicks -> {Automatic, {-2, -1, 0, 1}, {}, {}}, ImagePadding -> 15, ImageSize -> If[$CellContext`fname$2799$$ == "catenary", 230, 400], Axes -> False, GridLines -> {{}, {0}}]}]], "Specifications" :> {{{$CellContext`xval$2799$$, 0, "position on \!\(\*\nStyleBox[\"x\",\n\ FontSlant->\"Italic\"]\)-axis"}, -5.6, 8 Pi}, {{$CellContext`fname$2799$$, "linked catenaries for square wheel", "road shape"}, { "linked catenaries for square wheel", "linked catenaries for triangular wheel", "catenary", "2-loop cosine", "3-loop cosine", "infinite cosine", "parabola: road = wheel", "4-loop sawtooth"}}}, "Options" :> {TrackedSymbols -> Manipulate, ControlPlacement -> Top}, "DefaultOptions" :> {}], ImageSizeCache->{451., {161.6875, 172.3125}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({ Attributes[$CellContext`tt$] = {Temporary}, Attributes[$CellContext`f$] = {Temporary}, Attributes[$CellContext`tmin$2799] = {Temporary}, Attributes[$CellContext`tmax$2799] = {Temporary}, Attributes[$CellContext`fname$2799$$] = {Temporary}, Attributes[$CellContext`c$2799] = { Temporary}, $CellContext`c$2799 = -1 + E^(Pi/4), Attributes[$CellContext`t$2799] = {Temporary}, Attributes[$CellContext`V$2799] = {Temporary}, $CellContext`V$2799[ Pattern[$CellContext`x, Blank[]]] := (-Sign[$CellContext`x]) $CellContext`x - 1, $CellContext`x = 60508443, Attributes[$CellContext`xval$2799$$] = {Temporary}, Attributes[$CellContext`\[Theta]S$2799] = {Temporary}, Attributes[$CellContext`\[Theta]Sol$2799] = { Temporary}, $CellContext`\[Theta]Sol$2799[ Pattern[$CellContext`fcn$, Blank[]], { Pattern[$CellContext`tmin$, Blank[]], Pattern[$CellContext`tmax$, Blank[]]}] := ($CellContext`\[Theta]Sol$2799[$CellContext`fcn$] = ReplaceAll[ $CellContext`\[Theta]$2799[$CellContext`t$2799], First[ NDSolve[{$CellContext`\[Theta]$2799[0] == -(Pi/2), Derivative[ 1][$CellContext`\[Theta]$2799][$CellContext`t$2799] == -( 1/$CellContext`fcn$)}, $CellContext`\[Theta]$2799[$CellContext`t$2799], \ {$CellContext`t$2799, $CellContext`tmin$, $CellContext`tmax$}]]]), Attributes[$CellContext`fcn$] = {Temporary}, Attributes[$CellContext`tmin$] = {Temporary}, Attributes[$CellContext`tmax$] = {Temporary}, Attributes[$CellContext`\[Theta]$2799] = {Temporary}, Attributes[Derivative] = {NHoldAll, ReadProtected}, Attributes[$CellContext`transform$2799] = {Temporary}, Attributes[$CellContext`pt$] = {Temporary}, Attributes[$CellContext`tval$] = {Temporary}, Attributes[$CellContext`lab$2799] = {Temporary}, $CellContext`lab$2799[ "2-loop cosine"] = "\!\(\*FormBox[\n RowBox[{\n RowBox[{\"cos\", \"(\", \"x\", \")\"}], \ \"-\", SqrtBox[\"5\"]}],\n TraditionalForm]\)", $CellContext`lab$2799[ "3-loop cosine"] = "\!\(\*FormBox[\n RowBox[{\n RowBox[{\"cos\", \"(\", \"x\", \")\"}], \ \"-\", SqrtBox[\"10\"]}],\n TraditionalForm]\)", $CellContext`lab$2799[ "4-loop sawtooth"] = "extension of \!\(\*FormBox[\n RowBox[{\n RowBox[{\"\[PlusMinus]\", \ \"x\"}], \"-\", \"1\"}],\n TraditionalForm]\)", $CellContext`lab$2799[ "catenary"] = "\!\(\*FormBox[\n RowBox[{\n RowBox[{\"-\", \"cosh\"}], \" \", \ \"x\"}],\n TraditionalForm]\)", $CellContext`lab$2799["infinite cosine"] = "\!\(\*FormBox[\n RowBox[{\n RowBox[{\"cos\", \"(\", \"x\", \")\"}], \ \"-\", \"2\"}],\n TraditionalForm]\)", $CellContext`lab$2799[ "linked catenaries for square wheel"] = "extension of \!\(\*FormBox[\n RowBox[{\n RowBox[{\"-\", \"cosh\"}], \ \" \", \"x\"}],\n TraditionalForm]\)", $CellContext`lab$2799[ "linked catenaries for triangular wheel"] = "extension of \!\(\*FormBox[\n RowBox[{\n RowBox[{\"-\", \"cosh\"}], \ \" \", \"x\"}],\n TraditionalForm]\)", $CellContext`lab$2799[ "parabola: road = wheel"] = "\!\(\*Cell[BoxData[\nFormBox[\n\n RowBox[{\nRowBox[{\"-\", \n\ SuperscriptBox[\"x\", \"2\"]}], \"-\", \n\n FractionBox[\"1\", \"4\"]}], \ TraditionalForm]]]\)", $CellContext`z = 0, Attributes[$CellContext`road$2799] = { Temporary}, $CellContext`road$2799[ Pattern[$CellContext`yfunc$, Blank[]]] := ($CellContext`road$2799[$CellContext`yfunc$] = Plot[$CellContext`yfunc$, {$CellContext`t$2799, -10, 30}, PlotStyle -> {Red, Thick}, Filling -> -10, FillingStyle -> Directive[ Opacity[0.5], LightOrange], PlotPoints -> 100]), Attributes[$CellContext`yfunc$] = { Temporary}, $CellContext`cen = {-0.5598304384901907, 0}, $CellContext`tangentPt = {-0.5598304346516237, 0.06341015374975667}, $CellContext`tangentPtOrig = {0, (-1)/4}, Attributes[PlotRange] = {ReadProtected}, Attributes[$CellContext`pr$2799] = {Temporary}, $CellContext`pr$2799[ "2-loop cosine"] = {{-5, 15}, {-4, 3.5}}, $CellContext`pr$2799[ "3-loop cosine"] = {{-6.5, 18}, {-4.5, 4.5}}, $CellContext`pr$2799[ "4-loop sawtooth"] = {{-3, 6}, {-2.5, 2.5}}, $CellContext`pr$2799[ "catenary"] = {{-4.6, 4.6}, {-10, 1}}, $CellContext`pr$2799[ "infinite cosine"] = {{-5, 20}, {-4.5, 4.5}}, $CellContext`pr$2799[ "linked catenaries for square wheel"] = {{-2, 8}, {-1.7, 1.8}}, $CellContext`pr$2799[ "linked catenaries for triangular wheel"] = {{-2, 9}, {-2.3, 2.3}}, $CellContext`pr$2799[ "parabola: road = wheel"] = {{-3, 3}, {-4.5, 2.5}}}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", ShowCellBracket->True, CellChangeTimes->{{3.4513765871875*^9, 3.45137660209375*^9}}, CellTags->"Section3"], Cell["\<\ Getting the wheel for a road is tricky, in that the height of the road \ determines whether the wheel will close up. Further, the closing up occurs if \ a certain integral is an integer (2, 3, 4).\ \>", "Text", ShowCellBracket->True, CellChangeTimes->{{3.4643824769158583`*^9, 3.4643825155069523`*^9}}], Cell["\<\ Change height in following demo to see how the \"closed-wheel condition\" can \ fail. Then get closed wheels automatically by using FindRoot on the integral. Interpolation is used for the road. So this demo combines several ideas in numerical computation.\ \>", "Text", ShowCellBracket->True, CellChangeTimes->{{3.4643825451957083`*^9, 3.464382594387417*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ "c", ",", " ", "tmaxForWheelPlot", ",", " ", "xval", ",", " ", "p", ",", "t", ",", "nper"}], "}"}], ",", " ", "\[IndentingNewLine]", RowBox[{"Manipulate", "[", RowBox[{ RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ "road", ",", " ", "\[Theta]Sol", ",", "tmin", ",", " ", "tt", ",", "p2", ",", "f", ",", "func", ",", "\[Theta]S", ",", "transform", ",", "a", ",", "cc", ",", " ", "newc", ",", " ", "bound"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"a", "=", RowBox[{"ArcSinh", "[", "1.", "]"}]}], ";", RowBox[{"xval", " ", "=", " ", RowBox[{"Min", "[", RowBox[{"xval", ",", " ", RowBox[{"20", " ", "tmaxForWheelPlot"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"road", "[", "yfunc_", "]"}], " ", ":=", RowBox[{ RowBox[{"road", "[", "yfunc", "]"}], "=", RowBox[{"Plot", "[", RowBox[{"yfunc", ",", RowBox[{"{", RowBox[{"t", ",", RowBox[{"-", "5"}], ",", "20"}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Red", ",", "Thick"}], "}"}]}], ",", RowBox[{"PlotPoints", "\[Rule]", "50"}], ",", " ", RowBox[{"Filling", "\[Rule]", RowBox[{"-", "2"}]}], ",", " ", RowBox[{"FillingStyle", "\[Rule]", "LightOrange"}]}], "]"}]}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"\[Theta]Sol", "[", RowBox[{"fcn_", ",", " ", RowBox[{"{", RowBox[{"tmin_", ",", " ", "tmax_"}], "}"}]}], "]"}], ":=", RowBox[{ RowBox[{"\[Theta]Sol", "[", "fcn", "]"}], "=", RowBox[{"Module", "[", RowBox[{ RowBox[{"{", "\[Theta]", "}"}], ",", RowBox[{ RowBox[{"\[Theta]", "[", "t", "]"}], "/.", "\[InvisibleSpace]", RowBox[{"First", "[", RowBox[{"NDSolve", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"\[Theta]", "[", "0", "]"}], "\[Equal]", RowBox[{"-", FractionBox["\[Pi]", "2"]}]}], ",", RowBox[{ RowBox[{ SuperscriptBox["\[Theta]", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "\[Equal]", RowBox[{"-", FractionBox["1", "fcn"]}]}]}], "}"}], ",", RowBox[{"\[Theta]", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "tmin", ",", RowBox[{"Min", "[", RowBox[{"8", ",", RowBox[{"20", " ", "tmax"}]}], "]"}]}], "}"}]}], "]"}], "]"}]}]}], "]"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"tmin", "=", RowBox[{"-", "1"}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"bound", "[", RowBox[{"num_", ",", " ", "l_", ",", " ", "h_"}], "]"}], ":=", " ", RowBox[{"Max", "[", RowBox[{ RowBox[{"Min", "[", RowBox[{"num", ",", " ", "h"}], "]"}], ",", " ", "l"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"p", " ", "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "a"}], ",", " ", RowBox[{"bound", "[", RowBox[{ RowBox[{"p", "[", RowBox[{"[", RowBox[{"1", ",", "2"}], "]"}], "]"}], ",", " ", RowBox[{"-", "1.75"}], ",", " ", RowBox[{"-", ".9"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", ".5"}], ",", " ", RowBox[{"bound", "[", RowBox[{ RowBox[{"p", "[", RowBox[{"[", RowBox[{"2", ",", "2"}], "]"}], "]"}], ",", " ", RowBox[{"-", "1.4"}], ",", RowBox[{"-", ".9"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", " ", RowBox[{"bound", "[", RowBox[{ RowBox[{"p", "[", RowBox[{"[", RowBox[{"3", ",", "2"}], "]"}], "]"}], ",", " ", RowBox[{"-", "1."}], ",", " ", RowBox[{"-", ".8"}]}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5", ",", " ", RowBox[{"bound", "[", RowBox[{ RowBox[{"p", "[", RowBox[{"[", RowBox[{"4", ",", "2"}], "]"}], "]"}], ",", " ", RowBox[{"-", "1.4"}], ",", " ", RowBox[{"-", ".8"}]}], "]"}]}], "}"}]}], "}"}]}], ";", "\[IndentingNewLine]", RowBox[{"p2", "=", " ", RowBox[{"Append", "[", RowBox[{"p", ",", RowBox[{"{", RowBox[{"a", ",", " ", RowBox[{"p", "[", RowBox[{"[", RowBox[{"1", ",", "2"}], "]"}], "]"}]}], "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"f", "=", RowBox[{"Min", "[", RowBox[{ RowBox[{"-", "0.2"}], ",", RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"p2", ",", RowBox[{"PeriodicInterpolation", "\[Rule]", "True"}]}], "]"}], "[", "t", "]"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{ RowBox[{"IntegerQ", "[", "nper", "]"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"pmax", " ", "=", " ", RowBox[{"Abs", "[", RowBox[{ RowBox[{"SortBy", "[", RowBox[{ RowBox[{"N", "[", "p2", "]"}], ",", " ", "Last"}], "]"}], "[", RowBox[{"[", RowBox[{ RowBox[{"-", "1"}], ",", RowBox[{"-", "1"}]}], "]"}], "]"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"tmaxForWheelPlot", "=", RowBox[{ RowBox[{"2.", " ", "a", " ", "nper"}], "-", "1"}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"objective", "[", RowBox[{"cc_", "?", "NumericQ"}], "]"}], " ", ":=", " ", RowBox[{ RowBox[{"-", "1"}], "/", RowBox[{"Quiet", "@", RowBox[{"NIntegrate", "[", RowBox[{ FractionBox["1", RowBox[{"2", " ", "\[Pi]", " ", RowBox[{"(", RowBox[{"f", "+", "cc"}], ")"}]}]], ",", RowBox[{"{", RowBox[{"t", ",", RowBox[{"-", "a"}], ",", "a"}], "}"}]}], "]"}]}]}]}], ";", "\[IndentingNewLine]", RowBox[{"mPrint", "[", RowBox[{"{", RowBox[{"c", ",", "pmax", ",", " ", RowBox[{"{", RowBox[{"cc", ",", RowBox[{"c", "-", "0.25"}], ",", RowBox[{"Min", "[", RowBox[{ RowBox[{"pmax", "-", "c"}], ",", RowBox[{"c", "+", "0.25"}]}], "]"}]}], "}"}]}], "}"}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"c", "=", RowBox[{"cc", "/.", RowBox[{"FindRoot", "[", RowBox[{ RowBox[{ RowBox[{"objective", "[", "cc", "]"}], "\[Equal]", "nper"}], ",", " ", RowBox[{"{", RowBox[{"cc", ",", RowBox[{"c", "-", "0.25"}], ",", RowBox[{"Min", "[", RowBox[{ RowBox[{"Min", "[", RowBox[{ RowBox[{"pmax", "-", "c"}], ",", RowBox[{"c", "+", "0.25"}]}], "]"}], ",", " ", RowBox[{"-", "0.05"}]}], "]"}]}], "}"}]}], "]"}]}]}], ";", " ", "\[IndentingNewLine]", RowBox[{"mPrint", "[", "c", "]"}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"objective", "[", RowBox[{"cc_", "?", "NumericQ"}], "]"}], " ", ":=", RowBox[{"(", RowBox[{ RowBox[{"f", "=", RowBox[{"Min", "[", RowBox[{ RowBox[{"-", "0.2"}], ",", RowBox[{ RowBox[{"Interpolation", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"0", ",", "cc"}], "}"}], "+", "#"}], " ", "&"}], " ", "/@", " ", "p2"}], ",", RowBox[{"PeriodicInterpolation", "\[Rule]", "True"}]}], "]"}], "[", "t", "]"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"func", "[", "tval_", "]"}], " ", ":=", " ", RowBox[{"f", " ", "/.", " ", RowBox[{"t", "\[Rule]", " ", "tval"}]}]}], ";", " ", "\[IndentingNewLine]", RowBox[{"\[Theta]S", "=", RowBox[{"\[Theta]Sol", "[", RowBox[{ RowBox[{"func", "[", "t", "]"}], ",", " ", RowBox[{"{", RowBox[{"tmin", ",", "tmaxForWheelPlot"}], " ", "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", SuperscriptBox[ RowBox[{"Norm", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{"f", " ", RowBox[{"{", RowBox[{ RowBox[{"Cos", "[", "\[Theta]S", "]"}], ",", RowBox[{"Sin", "[", "\[Theta]S", "]"}]}], "}"}]}], "/.", " ", RowBox[{"t", "\[Rule]", RowBox[{"-", "1"}]}]}], ")"}], "-", RowBox[{"(", RowBox[{ RowBox[{"f", " ", RowBox[{"{", RowBox[{ RowBox[{"Cos", "[", "\[Theta]S", "]"}], ",", RowBox[{"Sin", "[", "\[Theta]S", "]"}]}], "}"}]}], "/.", " ", RowBox[{"t", "\[Rule]", "tmaxForWheelPlot"}]}], ")"}]}], "]"}], "2"]}], ")"}]}], ";", "\[IndentingNewLine]", RowBox[{"c", "=", RowBox[{"cc", "/.", RowBox[{ RowBox[{"FindMinimum", "[", RowBox[{ RowBox[{"objective", "[", "cc", "]"}], ",", RowBox[{"{", RowBox[{"cc", ",", RowBox[{"c", "-", "0.1"}], ",", RowBox[{"Min", "[", RowBox[{ RowBox[{"-", "0.05"}], ",", " ", RowBox[{"c", "+", "0.1"}]}], "]"}]}], "}"}]}], "]"}], "[", RowBox[{"[", "2", "]"}], "]"}]}]}], ";", " ", RowBox[{"nper", "=", "False"}]}]}], "]"}], ";", "\[IndentingNewLine]", RowBox[{"mPrint", "[", "c", "]"}], ";", RowBox[{"p1", "=", RowBox[{ RowBox[{ RowBox[{ RowBox[{"{", RowBox[{"0", ",", "c"}], "}"}], "+", "#"}], " ", "&"}], " ", "/@", " ", "p2"}]}], ";", "\[IndentingNewLine]", RowBox[{"f", "=", RowBox[{"Min", "[", RowBox[{ RowBox[{"-", "0.2"}], ",", RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"p1", ",", RowBox[{"PeriodicInterpolation", "\[Rule]", "True"}]}], "]"}], "[", "t", "]"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"func", "[", "tval_", "]"}], " ", ":=", " ", RowBox[{"f", " ", "/.", " ", RowBox[{"t", "\[Rule]", " ", "tval"}]}]}], ";", " ", "\[IndentingNewLine]", RowBox[{"\[Theta]S", "=", RowBox[{"\[Theta]Sol", "[", RowBox[{ RowBox[{"func", "[", "t", "]"}], ",", " ", RowBox[{"{", RowBox[{"tmin", ",", " ", "tmaxForWheelPlot"}], " ", "}"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"transform", "[", RowBox[{"pt_", ",", " ", "tval_"}], "]"}], ":=", " ", RowBox[{ RowBox[{"TranslationTransform", "[", RowBox[{"{", RowBox[{"tval", ",", "0"}], "}"}], "]"}], "[", RowBox[{ RowBox[{"RotationTransform", "[", RowBox[{ RowBox[{ RowBox[{"-", FractionBox["\[Pi]", "2"]}], "-", "\[Theta]S"}], "/.", "\[InvisibleSpace]", RowBox[{"t", "\[Rule]", "tval"}]}], "]"}], "[", "pt", "]"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"Column", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"Style", "[", RowBox[{ RowBox[{"StringForm", "[", RowBox[{ "\"\\"Italic\"]}], StyleBox[\"a\", FontSlant->\"Italic\"]]\)\!\(\*FractionBox[ RowBox[{\"-\", \"1\"}], RowBox[{\"2\", \" \", \"\[Pi]\", \" \", \"road\", RowBox[{\"(\", StyleBox[\"x\", FontSlant->\"Italic\"], \")\"}]}]]\) \[DifferentialD]\!\(\* StyleBox[\"x\", FontSlant->\"Italic\"]\) = ``, where \!\(\* StyleBox[\"a\", FontSlant->\"Italic\"]\) = arcsinh 1.\>\"", ",", RowBox[{"NumberForm", "[", RowBox[{ RowBox[{"intval", "=", RowBox[{ RowBox[{"-", "1"}], "/", RowBox[{"Quiet", "[", RowBox[{"NIntegrate", "[", RowBox[{ FractionBox["1", RowBox[{"2", " ", "\[Pi]", " ", RowBox[{"func", "[", "tt", "]"}]}]], ",", RowBox[{"{", RowBox[{"tt", ",", RowBox[{"-", "a"}], ",", "a"}], "}"}]}], "]"}], "]"}]}]}], ",", "3"}], "]"}]}], "]"}], ",", " ", RowBox[{"FontFamily", "\[Rule]", "\"\\""}], ",", " ", "12"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{ RowBox[{"road", "[", RowBox[{"func", "[", "t", "]"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"wheel", "=", RowBox[{"ParametricPlot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"transform", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"-", "f"}], " ", RowBox[{"{", RowBox[{ RowBox[{"Cos", "[", "\[Theta]S", "]"}], ",", RowBox[{"Sin", "[", "\[Theta]S", "]"}]}], "}"}]}], "/.", " ", RowBox[{"t", "\[Rule]", "tt"}]}], ",", "xval"}], "]"}], "]"}], ",", RowBox[{"{", RowBox[{"tt", ",", "tmin", ",", RowBox[{"Min", "[", RowBox[{"8", ",", "tmaxForWheelPlot"}], "]"}]}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"Thickness", "[", "0.006", "]"}]}], ",", " ", RowBox[{"PlotPoints", "\[Rule]", "50"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"Graphics", "[", RowBox[{"If", "[", RowBox[{ RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"Abs", "[", RowBox[{"intval", "-", "2"}], "]"}], "<", "0.02"}], "||", " ", RowBox[{"(", RowBox[{ RowBox[{"Abs", "[", RowBox[{"intval", "-", "3"}], "]"}], "<", "0.01"}], ")"}], "||", RowBox[{"(", RowBox[{ RowBox[{"Abs", "[", RowBox[{"intval", "-", "4"}], "]"}], "<", "0.01"}], ")"}]}], ")"}], "&&", RowBox[{"(", RowBox[{ RowBox[{"1.99", "<", " ", RowBox[{ RowBox[{"(", RowBox[{"tmaxForWheelPlot", "+", "1"}], ")"}], "/", RowBox[{"(", RowBox[{"2", " ", "a"}], ")"}]}], "<", "2.01"}], " ", "||", RowBox[{"2.99", "<", RowBox[{ RowBox[{"(", RowBox[{"tmaxForWheelPlot", "+", "1"}], ")"}], "/", RowBox[{"(", RowBox[{"2", " ", "a"}], ")"}]}], "<", "3.01"}], " ", "||", RowBox[{"3.99", "<", RowBox[{ RowBox[{"(", RowBox[{"tmaxForWheelPlot", "+", "1"}], ")"}], "/", RowBox[{"(", RowBox[{"2", " ", "a"}], ")"}]}], "<", "4.01"}]}], " ", ")"}]}], ",", " ", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{ RowBox[{"EdgeForm", "[", "]"}], ",", " ", RowBox[{"FaceForm", "[", RowBox[{"Lighter", "[", "Yellow", "]"}], "]"}], ",", RowBox[{"Cases", "[", RowBox[{ RowBox[{"Normal", "[", "wheel", "]"}], ",", " ", RowBox[{ RowBox[{"Line", "[", "z_", "]"}], " ", "\[RuleDelayed]", " ", RowBox[{"Polygon", "[", RowBox[{"Drop", "[", RowBox[{"z", ",", RowBox[{"-", "10"}]}], "]"}], "]"}]}], ",", " ", "\[Infinity]"}], "]"}]}], "}"}], "]"}], ",", RowBox[{"{", "}"}]}], "]"}], "]"}]}], ",", "\[IndentingNewLine]", "wheel", ",", "\[IndentingNewLine]", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{ RowBox[{"PointSize", "[", "0.018", "]"}], ",", " ", RowBox[{"Point", "[", RowBox[{"cen", "=", RowBox[{"{", RowBox[{"xval", ",", "0"}], "}"}]}], "]"}], ",", RowBox[{"PointSize", "[", "0.015", "]"}], ",", "\[IndentingNewLine]", RowBox[{ RowBox[{"tangentPt", "=", RowBox[{ RowBox[{ RowBox[{"-", RowBox[{"func", "[", "xval", "]"}]}], " ", RowBox[{"{", RowBox[{ RowBox[{"Cos", "[", "\[Theta]S", "]"}], ",", RowBox[{"Sin", "[", "\[Theta]S", "]"}]}], "}"}]}], "/.", " ", RowBox[{"t", "\[Rule]", " ", "xval"}]}]}], ";", RowBox[{"tangentPtOrig", "=", RowBox[{"{", RowBox[{"0", ",", RowBox[{"func", "[", "0", "]"}]}], " ", "}"}]}], ";", " ", "\[IndentingNewLine]", RowBox[{"Point", "[", RowBox[{"transform", "[", RowBox[{"tangentPt", ",", "xval"}], "]"}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"Point", "[", RowBox[{ RowBox[{"{", RowBox[{"xval", ",", "0"}], "}"}], "+", RowBox[{ RowBox[{"RotationTransform", "[", RowBox[{ RowBox[{ RowBox[{"-", FractionBox["\[Pi]", "2"]}], "-", "\[Theta]S"}], "/.", "\[InvisibleSpace]", RowBox[{"t", "\[Rule]", "xval"}]}], "]"}], "[", "tangentPtOrig", "]"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Line", "[", RowBox[{"{", RowBox[{"cen", ",", RowBox[{"transform", "[", " ", RowBox[{"tangentPtOrig", ",", "xval"}], "]"}]}], "}"}], "]"}], ",", RowBox[{"If", "[", RowBox[{"locQ", ",", " ", RowBox[{"Locator", "/@", " ", "p"}], ",", " ", RowBox[{"{", "}"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{"Gray", ",", " ", RowBox[{"Thickness", "[", "0.003", "]"}], ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "a"}], ",", RowBox[{"-", "2"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "a"}], ",", "2"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"a", ",", RowBox[{"-", "2"}]}], "}"}], ",", RowBox[{"{", RowBox[{"a", ",", "2"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"5.5", ",", "0"}], "}"}]}], "}"}]}], "}"}], "]"}]}], "}"}]}], "}"}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", " ", "5.5"}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"-", "2"}], ",", "2"}], "}"}]}], "}"}]}], ",", RowBox[{"PlotLabel", "\[Rule]", "None"}], ",", "\[IndentingNewLine]", RowBox[{"Frame", "\[Rule]", "True"}], ",", RowBox[{"FrameTicks", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", " ", RowBox[{ RowBox[{"Range", "[", RowBox[{ RowBox[{"-", "2"}], ",", "2"}], "]"}], ",", RowBox[{"{", "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "0", ",", "1", ",", "2", ",", "3", ",", "4", ",", "5"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "a"}], ",", "\"\<-\!\(\* StyleBox[\"a\", FontSlant->\"Italic\"]\)\>\""}], "}"}], ",", RowBox[{"{", RowBox[{"a", ",", "\"\<\!\(\* StyleBox[\"a\", FontSlant->\"Italic\"]\)\>\""}], "}"}]}], "}"}]}], "}"}]}], "}"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "400"}], ",", RowBox[{"ImagePadding", "\[Rule]", "20"}], ",", RowBox[{"PlotRangeClipping", "\[Rule]", "True"}], ",", RowBox[{"PlotRangePadding", "\[Rule]", "0"}], ",", RowBox[{"AspectRatio", "\[Rule]", "Automatic"}], ",", " ", RowBox[{"Axes", "\[Rule]", "False"}]}], "]"}]}], "}"}], "]"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"c", ",", "0.0", ",", "\"\\""}], "}"}], ",", RowBox[{"-", "1"}], ",", "0.71"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "tmaxForWheelPlot", ",", "5.3", ",", "\"\\""}], "}"}], ",", "0.1", ",", " ", "8"}], "}"}], ",", " ", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"xval", ",", "0", ",", "\"\\""}], "}"}], ",", RowBox[{"-", "1"}], ",", " ", "5"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"locQ", ",", " ", "True", ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"{", RowBox[{"True", ",", " ", "False"}], "}"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "nper", ",", " ", "False", ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"{", RowBox[{"2", ",", "3", ",", "4"}], "}"}]}], "}"}], ",", " ", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"p", ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "a"}], ",", RowBox[{"-", SqrtBox["2."]}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "0.5"}], ",", RowBox[{"-", "1.07"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", RowBox[{"-", "1.01"}]}], "}"}], ",", RowBox[{"{", RowBox[{"0.5", ",", RowBox[{"-", "1.14"}]}], "}"}]}], "}"}]}], "}"}], ",", " ", "Locator", ",", " ", RowBox[{"Appearance", "\[Rule]", "None"}]}], "}"}], ",", "\[IndentingNewLine]", " ", RowBox[{"TrackedSymbols", "\[Rule]", RowBox[{"{", RowBox[{ "p", ",", " ", "nper", ",", "xval", ",", " ", "tmaxForWheelPlot", ",", "c", ",", " ", "locQ"}], "}"}]}], ",", " ", RowBox[{"SaveDefinitions", "\[Rule]", "True"}], ",", " ", RowBox[{"ControlPlacement", "\[Rule]", "Top"}]}], "]"}]}], "]"}]], "Input", ShowCellBracket->True, CellChangeTimes->{ 3.35696210375764*^9, {3.446550152298203*^9, 3.446550276592601*^9}, { 3.446550377353963*^9, 3.446550467553282*^9}, 3.446551007911311*^9, { 3.446551038877714*^9, 3.446551042314972*^9}, {3.446551771132173*^9, 3.4465518226690683`*^9}, {3.446552714156563*^9, 3.4465527149458647`*^9}, { 3.4465610429645452`*^9, 3.446561336787846*^9}, {3.446563290829762*^9, 3.446563501390135*^9}, {3.4465661377655153`*^9, 3.446566154927746*^9}, { 3.446566360599947*^9, 3.446566386613743*^9}, {3.446566425019988*^9, 3.446566429639483*^9}, {3.44656648594162*^9, 3.4465664875605507`*^9}, { 3.446566557477203*^9, 3.446566650089615*^9}, {3.446566690131564*^9, 3.446566698600422*^9}, {3.4465668313925467`*^9, 3.446566943590891*^9}, { 3.4466831208085527`*^9, 3.446683123454129*^9}, {3.446720288663657*^9, 3.446720303401759*^9}, {3.446720357042094*^9, 3.4467207184692383`*^9}, { 3.4467207558460817`*^9, 3.4467207988059273`*^9}, {3.446720840013452*^9, 3.4467208822395697`*^9}, {3.4467213496082706`*^9, 3.446721354734825*^9}, { 3.446721551038537*^9, 3.446721551309361*^9}, {3.446721594847577*^9, 3.446721623348647*^9}, {3.446721736264633*^9, 3.446721899342677*^9}, { 3.446721934055588*^9, 3.44672200596343*^9}, {3.4467220393359222`*^9, 3.446722047639764*^9}, {3.446722194473549*^9, 3.446722323757094*^9}, { 3.446722368092475*^9, 3.446722376649064*^9}, {3.4467224178418694`*^9, 3.4467224887288017`*^9}, {3.446728986749545*^9, 3.4467289934044027`*^9}, { 3.4467290494735823`*^9, 3.4467290530920563`*^9}, {3.44672909787011*^9, 3.446729100376813*^9}, {3.4467292210767508`*^9, 3.446729251629068*^9}, 3.446729290235755*^9, {3.446729326888035*^9, 3.446729446201309*^9}, { 3.4467406974096537`*^9, 3.4467406982723217`*^9}, {3.4467407338519173`*^9, 3.446740735197586*^9}, {3.446751178154258*^9, 3.446751178511999*^9}, { 3.446751250271471*^9, 3.446751305084505*^9}, {3.446751547132156*^9, 3.446751572480818*^9}, {3.446751607200736*^9, 3.446751625755905*^9}, { 3.446751657851997*^9, 3.446751676301504*^9}, {3.446751777893464*^9, 3.446751823990308*^9}, {3.446751861047736*^9, 3.446751861266911*^9}, { 3.44675189613309*^9, 3.446751958460822*^9}, {3.446752014657392*^9, 3.446752044296723*^9}, {3.44675208008428*^9, 3.4467520846479607`*^9}, { 3.446752147777298*^9, 3.44675216131425*^9}, {3.446752231696425*^9, 3.4467522340162697`*^9}, 3.44675413011169*^9, {3.446754161489678*^9, 3.446754193493032*^9}, 3.44675449667684*^9, {3.446815310562583*^9, 3.446815374421756*^9}, {3.446815452301723*^9, 3.4468154532988043`*^9}, { 3.446817570603072*^9, 3.4468176316703787`*^9}, {3.446817664186213*^9, 3.4468176959536657`*^9}, {3.446817727432871*^9, 3.4468177285944138`*^9}, { 3.4468177769825983`*^9, 3.4468180107665052`*^9}, {3.446818054380582*^9, 3.446818254682804*^9}, {3.4468209811739388`*^9, 3.446820995943204*^9}, { 3.446921030780282*^9, 3.4469211586116247`*^9}, {3.446921194420113*^9, 3.446921311196927*^9}, {3.4469213494867077`*^9, 3.446921351008295*^9}, { 3.446980429243019*^9, 3.446980431035495*^9}, {3.4469816580993853`*^9, 3.44698172833585*^9}, {3.446981935646233*^9, 3.4469819403884*^9}, { 3.446982106362554*^9, 3.4469821435142517`*^9}, {3.446982206422662*^9, 3.4469822251740932`*^9}, {3.446982311757243*^9, 3.4469823166182127`*^9}, { 3.446982370961701*^9, 3.446982375833653*^9}, {3.4469976156133432`*^9, 3.446997744329035*^9}, {3.4469977804504633`*^9, 3.446997808066903*^9}, { 3.446998049630746*^9, 3.446998162185018*^9}, {3.4469982329188957`*^9, 3.4469982514827223`*^9}, {3.446998384068493*^9, 3.44699838517677*^9}, { 3.446998439430085*^9, 3.4469984433725243`*^9}, {3.446998487457304*^9, 3.4469985451538143`*^9}, {3.4469986364135647`*^9, 3.446998666080229*^9}, { 3.446998705443634*^9, 3.446998780318404*^9}, 3.446998816308798*^9, { 3.446998858134479*^9, 3.4469990668565493`*^9}, {3.446999143463912*^9, 3.446999218152001*^9}, {3.4470003654784737`*^9, 3.447000528332617*^9}, { 3.447000563473196*^9, 3.4470008226451073`*^9}, {3.447000852821567*^9, 3.4470008569522657`*^9}, {3.447000896000185*^9, 3.447000995390321*^9}, 3.44701143989356*^9, {3.447014812105001*^9, 3.447014893858858*^9}, { 3.447015021434725*^9, 3.447015266034629*^9}, {3.4470153068730497`*^9, 3.447015317872807*^9}, 3.4470153680937843`*^9, {3.447015400746913*^9, 3.447015401043283*^9}, {3.447017826146282*^9, 3.4470178584226217`*^9}, { 3.4470675721989317`*^9, 3.447067609513667*^9}, {3.447067737653614*^9, 3.447067742033963*^9}, {3.447067789879121*^9, 3.447067793658965*^9}, 3.447067907044735*^9, {3.44706838509974*^9, 3.4470683892624474`*^9}, { 3.447068533496437*^9, 3.447068580810841*^9}, {3.4470688386342278`*^9, 3.4470688604665213`*^9}, {3.4470689152569427`*^9, 3.447068916775414*^9}, { 3.4470692639776506`*^9, 3.44706928799301*^9}, {3.447069333049903*^9, 3.4470693650496473`*^9}, {3.447074092236377*^9, 3.447074092641383*^9}, { 3.447075010853416*^9, 3.447075024058173*^9}, {3.447075079751494*^9, 3.44707508480404*^9}, {3.447075151100089*^9, 3.447075151257545*^9}, { 3.447093205027939*^9, 3.447093214834878*^9}, {3.447093299335685*^9, 3.447093299691174*^9}, {3.447105222278493*^9, 3.447105229378539*^9}, { 3.447105359626828*^9, 3.4471053766984377`*^9}, {3.44711161787551*^9, 3.447111703236438*^9}, {3.447111789851622*^9, 3.447111824991379*^9}, { 3.447151811864242*^9, 3.447151817024191*^9}, {3.447151913046987*^9, 3.447151913739397*^9}, {3.447151963035912*^9, 3.447151963577261*^9}, { 3.447164610352434*^9, 3.447164612015668*^9}, {3.447164688996585*^9, 3.447164807321986*^9}, {3.447164889300292*^9, 3.447164971500209*^9}, { 3.4471650179713783`*^9, 3.44716507235191*^9}, {3.447171226943989*^9, 3.447171227603339*^9}, {3.447171544265964*^9, 3.44717154471802*^9}, 3.4471752709038353`*^9, {3.447176228356761*^9, 3.447176228621114*^9}, { 3.447178611265521*^9, 3.447178638680338*^9}, {3.447178672256547*^9, 3.447178723892129*^9}, {3.447178765985333*^9, 3.447178809791873*^9}, { 3.447178859760086*^9, 3.447178908968281*^9}, {3.447240653240443*^9, 3.44724090075686*^9}, {3.4472409912941732`*^9, 3.447241089572255*^9}, { 3.4472655467304163`*^9, 3.447265547240192*^9}, {3.447265578774605*^9, 3.447265610242334*^9}, {3.4472656470329523`*^9, 3.4472656666885357`*^9}, { 3.447265765665094*^9, 3.447265865878935*^9}, {3.4472659057116747`*^9, 3.447265922582838*^9}, {3.447265956450634*^9, 3.447266101323554*^9}, { 3.4472662201516323`*^9, 3.4472663048166924`*^9}, {3.447267055212802*^9, 3.4472670622108393`*^9}, {3.447267170005954*^9, 3.447267170181263*^9}, { 3.447267592078986*^9, 3.4472675924299603`*^9}, {3.4472759043286867`*^9, 3.4472759223916893`*^9}, {3.447275957279831*^9, 3.447275972167316*^9}, { 3.447276047311594*^9, 3.447276055183331*^9}, {3.447276110346336*^9, 3.447276162700323*^9}, {3.44727622282091*^9, 3.447276223553316*^9}, { 3.447276279334437*^9, 3.4472763005642653`*^9}, {3.447276357489143*^9, 3.447276358645281*^9}, {3.447276444163927*^9, 3.447276481372697*^9}, { 3.447276550485256*^9, 3.447276577622138*^9}, {3.447276614821035*^9, 3.447276615080914*^9}, {3.447285355391423*^9, 3.4472854321052437`*^9}, { 3.447285465928874*^9, 3.44728548143464*^9}, {3.4472855351846437`*^9, 3.4472855471474657`*^9}, {3.44728563643786*^9, 3.447285648051051*^9}, { 3.447285693612474*^9, 3.44728569787772*^9}, {3.4472857457892733`*^9, 3.447285801675961*^9}, {3.447285842700273*^9, 3.447285906932378*^9}, { 3.447285937766251*^9, 3.4472859771912127`*^9}, {3.447286019930595*^9, 3.4472860202920103`*^9}, {3.4472861032712317`*^9, 3.44728610707694*^9}, { 3.4472861405921297`*^9, 3.447286223316032*^9}, {3.447321742625195*^9, 3.4473217539846087`*^9}, {3.447321844597735*^9, 3.447321858098349*^9}, { 3.4473220397211*^9, 3.447322044766788*^9}, {3.447322105910424*^9, 3.44732213058821*^9}, {3.447322169592064*^9, 3.447322264885803*^9}, { 3.447322309697413*^9, 3.447322366288619*^9}, {3.447350780281117*^9, 3.44735082235529*^9}, {3.4473510597237597`*^9, 3.447351066484846*^9}, { 3.447351150372059*^9, 3.4473511749450407`*^9}, {3.447351330079824*^9, 3.4473514723336887`*^9}, {3.447351508550886*^9, 3.447351731113908*^9}, { 3.447351783895379*^9, 3.44735178648499*^9}, {3.447353516322003*^9, 3.447353533273741*^9}, {3.447353706527007*^9, 3.447353710253056*^9}, { 3.4473537404273567`*^9, 3.447353742580592*^9}, {3.447353779338414*^9, 3.44735379878839*^9}, {3.447353870463375*^9, 3.447353898036365*^9}, { 3.44735394913159*^9, 3.447353992795912*^9}, {3.447354077365417*^9, 3.4473541162025967`*^9}, 3.447354155263308*^9, {3.4473542528711977`*^9, 3.447354306749278*^9}, {3.447354700347077*^9, 3.4473547289855423`*^9}, { 3.447354768121262*^9, 3.4473547881061172`*^9}, 3.447354819916993*^9, { 3.447416601295739*^9, 3.44741660836819*^9}, {3.447416728026388*^9, 3.447416751309157*^9}, {3.447416791329624*^9, 3.447416800510743*^9}, { 3.447416894222163*^9, 3.44741689494349*^9}, {3.447416959312257*^9, 3.447416986468293*^9}, {3.447417176906294*^9, 3.4474172068306427`*^9}, { 3.4474180220525417`*^9, 3.447418026193514*^9}, {3.44741807516597*^9, 3.447418081584271*^9}, {3.4474181301128693`*^9, 3.4474181311638823`*^9}, { 3.4474182163347883`*^9, 3.447418291322175*^9}, {3.4474188351668987`*^9, 3.4474188667330647`*^9}, {3.4474189236626663`*^9, 3.447418927116777*^9}, { 3.447419030803323*^9, 3.447419031886051*^9}, {3.447420257920916*^9, 3.447420268757189*^9}, {3.447429725693993*^9, 3.4474297387332973`*^9}, { 3.447429796049963*^9, 3.447429810531855*^9}, {3.4474963946126013`*^9, 3.4474964013502693`*^9}, {3.447496483915744*^9, 3.447496544345228*^9}, { 3.4474966036461477`*^9, 3.447496641736875*^9}, {3.4474969943438797`*^9, 3.4474969959435387`*^9}, {3.447497035600275*^9, 3.447497035897779*^9}, { 3.447497084346904*^9, 3.447497084456786*^9}, {3.447497116131266*^9, 3.447497133656982*^9}, {3.4474971920509367`*^9, 3.4474973035804663`*^9}, { 3.447497339523847*^9, 3.4474974010694847`*^9}, {3.447497470546666*^9, 3.447497471059372*^9}, {3.447497518023142*^9, 3.447497518318235*^9}, { 3.44749756463665*^9, 3.4474976824538097`*^9}, 3.447497712692298*^9, { 3.447497745620936*^9, 3.447497758809774*^9}, {3.4474977905384417`*^9, 3.4474978109567738`*^9}, {3.4474978516790037`*^9, 3.44749789046558*^9}, 3.447498010234324*^9, {3.447498051182186*^9, 3.447498051589365*^9}, { 3.44749808972295*^9, 3.4474981634969254`*^9}, {3.447498199512348*^9, 3.447498201529312*^9}, {3.447498246501603*^9, 3.447498251437544*^9}, { 3.447498298368576*^9, 3.447498303611907*^9}, {3.447498438204644*^9, 3.4474984527628937`*^9}, {3.447498483698984*^9, 3.447498489378517*^9}, { 3.447499920267335*^9, 3.447499951262817*^9}, {3.447500032005249*^9, 3.447500032690281*^9}, {3.447500164651826*^9, 3.4475001666232347`*^9}, { 3.447500821885442*^9, 3.4475008458877*^9}, {3.447500896057309*^9, 3.447500902823389*^9}, {3.4475017006082067`*^9, 3.447501702906049*^9}, { 3.4475219881427*^9, 3.4475219910566463`*^9}, {3.4475222283523893`*^9, 3.4475222327709312`*^9}, {3.447522300455339*^9, 3.447522309368589*^9}, { 3.447522339753964*^9, 3.4475223405660877`*^9}, {3.447525281359901*^9, 3.44752528211732*^9}, {3.4475278419708843`*^9, 3.44752784852672*^9}, { 3.447535497366353*^9, 3.4475354978793793`*^9}, {3.447539092788217*^9, 3.447539096868085*^9}, {3.447593698946744*^9, 3.447593703716527*^9}, 3.447594002526452*^9, {3.4476024823359118`*^9, 3.447602501855681*^9}, { 3.447602565487315*^9, 3.4476027128653316`*^9}, {3.447602744975588*^9, 3.44760286707521*^9}, {3.4476032379221983`*^9, 3.447603239269492*^9}}, CellTags->"Section3", CellID->956500132], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`c$20367$$ = 0., $CellContext`locQ$$ = True, $CellContext`nper$20367$$ = False, $CellContext`p$20367$$ = {{-0.881373587019543, \ -1.4142135623730951`}, {-0.5, -1.07}, {0, -1.}, { 0.5, -1.14}}, $CellContext`tmaxForWheelPlot$20367$$ = 5.3, $CellContext`xval$20367$$ = 0, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`c$20367$$], 0., "change road height"}, -1, 0.71}, {{ Hold[$CellContext`tmaxForWheelPlot$20367$$], 5.3, "upper limit on wheel integration"}, 0.1, 8}, {{ Hold[$CellContext`xval$20367$$], 0, "roll the wheel"}, -1, 5}, {{ Hold[$CellContext`locQ$$], True, "show locators"}, {True, False}}, {{ Hold[$CellContext`nper$20367$$], False, "try to find closed wheel over periods"}, {2, 3, 4}}, {{ Hold[$CellContext`p$20367$$], {{-0.5, -1.4142135623730951`}, {-0.5, \ -1.07}, {0, -1.01}, {0.5, -1.14}}}, Automatic}}, Typeset`size$$ = { 400., {130.6875, 141.3125}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`c$20367$20369$$ = 0, $CellContext`tmaxForWheelPlot$20367$20370$$ = 0, $CellContext`xval$20367$20371$$ = 0, $CellContext`locQ$20372$$ = False, $CellContext`nper$20367$20373$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`c$20367$$ = 0., $CellContext`locQ$$ = True, $CellContext`nper$20367$$ = False, $CellContext`p$20367$$ = {{-0.5, -1.4142135623730951`}, {-0.5, \ -1.07}, {0, -1.01}, {0.5, -1.14}}, $CellContext`tmaxForWheelPlot$20367$$ = 5.3, $CellContext`xval$20367$$ = 0}, "ControllerVariables" :> { Hold[$CellContext`c$20367$$, $CellContext`c$20367$20369$$, 0], Hold[$CellContext`tmaxForWheelPlot$20367$$, \ $CellContext`tmaxForWheelPlot$20367$20370$$, 0], Hold[$CellContext`xval$20367$$, $CellContext`xval$20367$20371$$, 0], Hold[$CellContext`locQ$$, $CellContext`locQ$20372$$, False], Hold[$CellContext`nper$20367$$, $CellContext`nper$20367$20373$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Module[{$CellContext`road$, $CellContext`\[Theta]Sol$, \ $CellContext`tmin$, $CellContext`tt$, $CellContext`p2$, $CellContext`f$, \ $CellContext`func$, $CellContext`\[Theta]S$, $CellContext`transform$, \ $CellContext`a$, $CellContext`cc$, $CellContext`newc$, $CellContext`bound$}, \ $CellContext`a$ = ArcSinh[1.]; $CellContext`xval$20367$$ = Min[$CellContext`xval$20367$$, 20 $CellContext`tmaxForWheelPlot$20367$$]; $CellContext`road$[ Pattern[$CellContext`yfunc$, Blank[]]] := ($CellContext`road$[$CellContext`yfunc$] = Plot[$CellContext`yfunc$, {$CellContext`t$20367, -5, 20}, PlotStyle -> {Red, Thick}, PlotPoints -> 50, Filling -> -2, FillingStyle -> LightOrange]); $CellContext`\[Theta]Sol$[ Pattern[$CellContext`fcn$, Blank[]], { Pattern[$CellContext`tmin$, Blank[]], Pattern[$CellContext`tmax$, Blank[]]}] := ($CellContext`\[Theta]Sol$[$CellContext`fcn$] = Module[{$CellContext`\[Theta]$}, ReplaceAll[ $CellContext`\[Theta]$[$CellContext`t$20367], First[ NDSolve[{$CellContext`\[Theta]$[0] == -(Pi/2), Derivative[ 1][$CellContext`\[Theta]$][$CellContext`t$20367] == -( 1/$CellContext`fcn$)}, $CellContext`\[Theta]$[$CellContext`t$20367], \ {$CellContext`t$20367, $CellContext`tmin$, Min[ 8, 20 $CellContext`tmax$]}]]]]); $CellContext`tmin$ = -1; \ $CellContext`bound$[ Pattern[$CellContext`num, Blank[]], Pattern[$CellContext`l, Blank[]], Pattern[$CellContext`h, Blank[]]] := Max[ Min[$CellContext`num, $CellContext`h], $CellContext`l]; \ $CellContext`p$20367$$ = {{-$CellContext`a$, $CellContext`bound$[ Part[$CellContext`p$20367$$, 1, 2], -1.75, -0.9]}, {-0.5, $CellContext`bound$[ Part[$CellContext`p$20367$$, 2, 2], -1.4, -0.9]}, {0, $CellContext`bound$[ Part[$CellContext`p$20367$$, 3, 2], -1., -0.8]}, {0.5, $CellContext`bound$[ Part[$CellContext`p$20367$$, 4, 2], -1.4, -0.8]}}; $CellContext`p2$ = Append[$CellContext`p$20367$$, {$CellContext`a$, Part[$CellContext`p$20367$$, 1, 2]}]; $CellContext`f$ = Min[-0.2, Interpolation[$CellContext`p2$, PeriodicInterpolation -> True][$CellContext`t$20367]]; If[ IntegerQ[$CellContext`nper$20367$$], $CellContext`pmax = Abs[ Part[ SortBy[ N[$CellContext`p2$], Last], -1, -1]]; $CellContext`tmaxForWheelPlot$20367$$ = ( 2. $CellContext`a$) $CellContext`nper$20367$$ - 1; $CellContext`objective[ PatternTest[ Pattern[$CellContext`cc$, Blank[]], NumericQ]] := (-1)/Quiet[ NIntegrate[ 1/((2 Pi) ($CellContext`f$ + $CellContext`cc$)), \ {$CellContext`t$20367, -$CellContext`a$, $CellContext`a$}]]; \ $CellContext`mPrint[{$CellContext`c$20367$$, $CellContext`pmax, \ {$CellContext`cc$, $CellContext`c$20367$$ - 0.25, Min[$CellContext`pmax - $CellContext`c$20367$$, \ $CellContext`c$20367$$ + 0.25]}}]; $CellContext`c$20367$$ = ReplaceAll[$CellContext`cc$, FindRoot[$CellContext`objective[$CellContext`cc$] == \ $CellContext`nper$20367$$, {$CellContext`cc$, $CellContext`c$20367$$ - 0.25, Min[ Min[$CellContext`pmax - $CellContext`c$20367$$, \ $CellContext`c$20367$$ + 0.25], -0.05]}]]; \ $CellContext`mPrint[$CellContext`c$20367$$]; $CellContext`objective[ PatternTest[ Pattern[$CellContext`cc$, Blank[]], NumericQ]] := ($CellContext`f$ = Min[-0.2, Interpolation[ Map[{0, $CellContext`cc$} + #& , $CellContext`p2$], PeriodicInterpolation -> True][$CellContext`t$20367]]; $CellContext`func$[ Pattern[$CellContext`tval$, Blank[]]] := ReplaceAll[$CellContext`f$, $CellContext`t$20367 -> \ $CellContext`tval$]; $CellContext`\[Theta]S$ = $CellContext`\[Theta]Sol$[ $CellContext`func$[$CellContext`t$20367], {$CellContext`tmin$, \ $CellContext`tmaxForWheelPlot$20367$$}]; Norm[ReplaceAll[$CellContext`f$ { Cos[$CellContext`\[Theta]S$], Sin[$CellContext`\[Theta]S$]}, $CellContext`t$20367 -> -1] - ReplaceAll[$CellContext`f$ { Cos[$CellContext`\[Theta]S$], Sin[$CellContext`\[Theta]S$]}, $CellContext`t$20367 -> \ $CellContext`tmaxForWheelPlot$20367$$]]^2); $CellContext`c$20367$$ = ReplaceAll[$CellContext`cc$, Part[ FindMinimum[ $CellContext`objective[$CellContext`cc$], {$CellContext`cc$, \ $CellContext`c$20367$$ - 0.1, Min[-0.05, $CellContext`c$20367$$ + 0.1]}], 2]]; $CellContext`nper$20367$$ = False]; $CellContext`mPrint[$CellContext`c$20367$$]; \ $CellContext`p1 = Map[{0, $CellContext`c$20367$$} + #& , $CellContext`p2$]; \ $CellContext`f$ = Min[-0.2, Interpolation[$CellContext`p1, PeriodicInterpolation -> True][$CellContext`t$20367]]; $CellContext`func$[ Pattern[$CellContext`tval$, Blank[]]] := ReplaceAll[$CellContext`f$, $CellContext`t$20367 -> \ $CellContext`tval$]; $CellContext`\[Theta]S$ = $CellContext`\[Theta]Sol$[ $CellContext`func$[$CellContext`t$20367], {$CellContext`tmin$, \ $CellContext`tmaxForWheelPlot$20367$$}]; $CellContext`transform$[ Pattern[$CellContext`pt$, Blank[]], Pattern[$CellContext`tval$, Blank[]]] := TranslationTransform[{$CellContext`tval$, 0}][ RotationTransform[ ReplaceAll[-(Pi/ 2) - $CellContext`\[Theta]S$, $CellContext`t$20367 -> \ $CellContext`tval$]][$CellContext`pt$]]; Column[{ Style[ StringForm[ "Integral for wheel closure = \!\(\*SubsuperscriptBox[\"\ \[Integral]\", \n RowBox[{\"-\", \n StyleBox[\"a\",\n\ FontSlant->\"Italic\"]}], \n StyleBox[\"a\",\n\ FontSlant->\"Italic\"]]\)\!\(\*FractionBox[\n RowBox[{\"-\", \"1\"}], \n \ RowBox[{\"2\", \" \", \"\[Pi]\", \" \", \"road\", \n RowBox[{\"(\", \n \ StyleBox[\"x\",\nFontSlant->\"Italic\"], \")\"}]}]]\) \[DifferentialD]\!\(\*\n\ StyleBox[\"x\",\nFontSlant->\"Italic\"]\) = ``, where \!\(\*\nStyleBox[\"a\",\ \nFontSlant->\"Italic\"]\) = arcsinh 1.", NumberForm[$CellContext`intval = (-1)/Quiet[ NIntegrate[ 1/((2 Pi) $CellContext`func$[$CellContext`tt$]), \ {$CellContext`tt$, -$CellContext`a$, $CellContext`a$}]], 3]], FontFamily -> "Helvetica", 12], Show[ $CellContext`road$[ $CellContext`func$[$CellContext`t$20367]], $CellContext`wheel = ParametricPlot[ Evaluate[ $CellContext`transform$[ ReplaceAll[(-$CellContext`f$) { Cos[$CellContext`\[Theta]S$], Sin[$CellContext`\[Theta]S$]}, $CellContext`t$20367 -> \ $CellContext`tt$], $CellContext`xval$20367$$]], {$CellContext`tt$, \ $CellContext`tmin$, Min[8, $CellContext`tmaxForWheelPlot$20367$$]}, PlotStyle -> Thickness[0.006], PlotPoints -> 50]; Graphics[ If[ And[ Or[ Abs[$CellContext`intval - 2] < 0.02, Abs[$CellContext`intval - 3] < 0.01, Abs[$CellContext`intval - 4] < 0.01], Or[ 1.99 < ($CellContext`tmaxForWheelPlot$20367$$ + 1)/( 2 $CellContext`a$) < 2.01, 2.99 < ($CellContext`tmaxForWheelPlot$20367$$ + 1)/( 2 $CellContext`a$) < 3.01, 3.99 < ($CellContext`tmaxForWheelPlot$20367$$ + 1)/( 2 $CellContext`a$) < 4.01]], Graphics[{ EdgeForm[], FaceForm[ Lighter[Yellow]], Cases[ Normal[$CellContext`wheel], Line[ Pattern[$CellContext`z, Blank[]]] :> Polygon[ Drop[$CellContext`z, -10]], Infinity]}], {}]], $CellContext`wheel, Graphics[{ PointSize[0.018], Point[$CellContext`cen = {$CellContext`xval$20367$$, 0}], PointSize[ 0.015], $CellContext`tangentPt = ReplaceAll[(-$CellContext`func$[$CellContext`xval$20367$$]) { Cos[$CellContext`\[Theta]S$], Sin[$CellContext`\[Theta]S$]}, $CellContext`t$20367 -> \ $CellContext`xval$20367$$]; $CellContext`tangentPtOrig = {0, $CellContext`func$[0]}; Point[ $CellContext`transform$[$CellContext`tangentPt, \ $CellContext`xval$20367$$]], Point[{$CellContext`xval$20367$$, 0} + RotationTransform[ ReplaceAll[-(Pi/ 2) - $CellContext`\[Theta]S$, $CellContext`t$20367 -> \ $CellContext`xval$20367$$]][$CellContext`tangentPtOrig]], Line[{$CellContext`cen, $CellContext`transform$[$CellContext`tangentPtOrig, \ $CellContext`xval$20367$$]}], If[$CellContext`locQ$$, Map[Locator, $CellContext`p$20367$$], {}], {Gray, Thickness[0.003], Line[{{{-$CellContext`a$, -2}, {-$CellContext`a$, 2}}, {{$CellContext`a$, -2}, {$CellContext`a$, 2}}, {{-2, 0}, {5.5, 0}}}]}}], PlotRange -> {{-2, 5.5}, {-2, 2}}, PlotLabel -> None, Frame -> True, FrameTicks -> {{ Range[-2, 2], {}}, {{-1, 0, 1, 2, 3, 4, 5}, {{-$CellContext`a$, "-\!\(\*\nStyleBox[\"a\",\nFontSlant->\"Italic\"]\)"}, \ {$CellContext`a$, "\!\(\*\nStyleBox[\"a\",\nFontSlant->\"Italic\"]\)"}}}}, ImageSize -> 400, ImagePadding -> 20, PlotRangeClipping -> True, PlotRangePadding -> 0, AspectRatio -> Automatic, Axes -> False]}]], "Specifications" :> {{{$CellContext`c$20367$$, 0., "change road height"}, -1, 0.71}, {{$CellContext`tmaxForWheelPlot$20367$$, 5.3, "upper limit on wheel integration"}, 0.1, 8}, {{$CellContext`xval$20367$$, 0, "roll the wheel"}, -1, 5}, {{$CellContext`locQ$$, True, "show locators"}, { True, False}}, {{$CellContext`nper$20367$$, False, "try to find closed wheel over periods"}, {2, 3, 4}}, {{$CellContext`p$20367$$, {{-0.5, -1.4142135623730951`}, {-0.5, \ -1.07}, {0, -1.01}, {0.5, -1.14}}}, Automatic, ControlType -> Locator, Appearance -> None}}, "Options" :> { TrackedSymbols -> {$CellContext`p$20367$$, $CellContext`nper$20367$$, \ $CellContext`xval$20367$$, $CellContext`tmaxForWheelPlot$20367$$, \ $CellContext`c$20367$$, $CellContext`locQ$$}, ControlPlacement -> Top}, "DefaultOptions" :> {ControlPlacement -> Top}], ImageSizeCache->{457., {244.6875, 255.3125}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({ Attributes[$CellContext`tmin$] = {Temporary}, Attributes[$CellContext`tt$] = {Temporary}, Attributes[$CellContext`f$] = {Temporary}, Attributes[$CellContext`transform$] = {Temporary}, Attributes[$CellContext`xval$20367$$] = {Temporary}, Attributes[$CellContext`tmaxForWheelPlot$20367$$] = {Temporary}, Attributes[$CellContext`yfunc$] = {Temporary}, Attributes[$CellContext`t$20367] = {Temporary}, Attributes[$CellContext`fcn$] = {Temporary}, Attributes[$CellContext`tmax$] = {Temporary}, Attributes[Derivative] = {NHoldAll, ReadProtected}, $CellContext`h[ Pattern[$CellContext`gb, Blank[]], Pattern[$CellContext`category, Blank[]]] := NotebookWrite[ SelectedNotebook[], Cell[ BoxData[ StyleBox[ GridBox[$CellContext`data = Select[$CellContext`data1 = ReplaceAll[$CellContext`gb, PatternTest[ Pattern[$CellContext`x, Blank[]], NumericQ] :> ToString[ AccountingForm[$CellContext`x, 10]]], # != {0, 0}& ]; $CellContext`data = If[$CellContext`data != {}, $CellContext`data, Take[$CellContext`data1, 10]]; $CellContext`data = Transpose[{ Map[Identity, Part[ Transpose[$CellContext`data], 1]], Part[ Transpose[$CellContext`data], 2]}]; $CellContext`data, ColumnWidths -> {30, 5}, ColumnAlignments -> {Left, Right}, GridFrame -> True, ColumnLines -> True], FontSize -> 10]], "Output", CellFrame -> Not[True], CellFrameLabels -> {{None, None}, {None, ToString[ StringForm["``: $``", $CellContext`category, Apply[Plus, Map[ToExpression, ReplaceAll[ Map[Last, $CellContext`data], PatternTest[ Pattern[$CellContext`x, Blank[String]], StringMatchQ[#, "(*)"]& ] :> StringJoin["-", StringDrop[ StringDrop[$CellContext`x, 1], -1]]]]]]]}}, ShowCellLabel -> False]], Attributes[$CellContext`p$20367$$] = {Temporary}, Attributes[$CellContext`nper$20367$$] = {Temporary}, Attributes[$CellContext`c$20367$$] = {Temporary}, Attributes[$CellContext`tval$] = { Temporary}, $CellContext`p1 = {{-0.881373587019543, -1.75}, {-0.5, \ -1.}, {0, -0.8}, {0.5, -1.4}, {0.881373587019543, -1.75}}, Attributes[$CellContext`pt$] = {Temporary}, $CellContext`intval = 3.932428597600662, $CellContext`wheel = Graphics[{{{}, {}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwUm3c8V/8XxxuojCIJRUlIEcr4EnUQ0VZEJCWZDSWVJCQiEhURpZBVkhEZ cey9t+x9Px/rM1Gpfvf3l8fz4d73fZ9zXmd5PGy75HzadsWyZcsYHMuW/f+n m5H85WCbeQxzzdg4Wj+HKQWDhZtJltgwF/lneA6HezVlQi/N4/yLU58W5ufw 1zCPL9V6HlPj7R8QnDRMOKhWtIvku9mCUXr8NKxjfy8wujiPWsO05aGbaLgi udDG8sI88kvuCKqVouHa5S5vj1vN439WpTwsBRpe71M0kjo/j1Pqmea8GjTU arSxGTo3j7vLW44IHqQhW8W/6KHFPOrKs7+uPk7DxtWKh1ebz2P6mY5r06Y0 3KLPN3XLbB47BdceLbpIw5U76UHlZ+bx8S9xSU8n8nyPKsFfxvN4cZddtZwr DX3GXroJGs3j8WshXSf9aUiLo0ovHJ/HgLkMakUoDSWfDFrg0XlkYeq2nVE0 rHru9Wfp0Dzuf5B8IieVhp947LVc9OaxWGPT7GA2aU+KbUKdzjz29elzzBfR 8F6z5+tdWvN4YJPJxEQzDc0KOuYVNebxxfgni5IeGprsLZQUVZtH/YdJr/xH aFiR6RT0SnEeG56syOlk0tAhnm+X5jbyfj+Tit2F6Fgx98zPUnwez1Id36eJ 03FXv/ifi6IkT1SM10vTkeL4nbJeYB6p3kUzVap0XCdZoFzMO48Ry8+ZfthP Ry3XBweNVs9jfVX5DSd9OoZI0KxE/rExKtebK8uEjk021tpGv9hoNLNth6ol Hd8Qki+d2GxkPdqm996GjsuWiWscmmKjRNa6QiUXOp45OmAQ0cHGxUGjRNVn dExZxnlrqImNj81vJv0Ko+NrMYurPLVs3Cu9pJIUTUfHRj4JkXI21k1dl9CM o+PPLnN3riI2epkaaOYk0zG+JM6+8xsbj677YSryhY7Ed892/ww25r05omed TcfcrgSfbR/ZuLU0jCjPp+P9beIVd9+wUaxvHxdXAR0viAg8zXjGxguqCvfl SH7U+3BrkzcbZWoyL6qSPG1dWNnswkarB4zm7SQry/6pzrnMxmX2WhPz5HnN dnbXHpqyMfceR0EayWDA/VvJkI3i+0Ydj5JcKzyRW6HBxliXcL6GPDpyeY7O gBwbV079LlYm+ZhnRqnNZjb676WAcy7pb2N1IUceNka8ZpkFfaNjzYIfGP1m oVwgVS4gh7zf8WfRolMs/PCxasCWtE/m8u5HFT9YWCeZ81LqKx1Z+jxGJrUs rM9XuF6eSceHW47/3ZzCwgfu4lLJpH86lGuen4lkYaucvuH0ZzoO+RRdv+XP wpF/x7evT6WjR7y6w3lbForQTj5fSfrXwVtQbZcJC9Xdzl9vSqDj+Y0b0vt0 WVjyyPXVg3g6ylsrcrO2svDv+qrzD2Po+CpiLMp8LQt9brgYdpHxO+vGVk9c YqLkMi4h/td0lGYP/GZ3M7Eo3Hh210s6euv677gXysQb/LlTax6T/nw8lC7h yURVnJW770PHkyV/l2VeYWKg+6+AZk86Ro/fMXp5iIlWqnL7ZO/S0fNTznaL 3wz8UnZoIsSO9I97l7k5wcDWXb3uMpfo+IX/yGr9DgZOmNbfijtPxz9zEttH 0xhoLFGjeZTU7+waiXcHrRk4dX9n3WVtOm7LimkaLKWj9gP9T/2CdMxuazds TKNj42GBtAE+Opoti/FKi6LjsM3zpqpVdJzk3O2iT+o6XyNAyvg3DTnrUj06 JehoI/t3o/EwDYMvNvyqv0/DUT5nvm0pNIw6c0b1ggMNX+Sv/vdfHA3FDS1d KCY0PPBrOFUrmoa2SR8WJ3bT0GKc1b8umIbP6iOTNuEcbh4K+zfsTJ5jGhvv 9WgWX19UX2u+l4asUrMdNK5pzH46qHrbbA63PUrh4RucwjpDk8os/Tk8DrYF O79NYTxxwaNbeQ4FnBqsL9tPoUS7dGXHujm0lDjPmKqi4syt4rGUylmc2Gmc /ukJBSuK6mO5lWbxquCi0UbBSSys+ptvwppGib0Gy9umJ9BT03DxztA06m0W hbeVE6iwfrPY0/pp5OiaY51zn0DRPtkPoR+m0U4AtINHxnHgZE44n8k0Hq// 2b4hZwyLrPy7FDOm0Che52l36Bg6fdUu+/KGvKd33NCXK2NYmFW2IBswhcla AS1R28ZQMOT46OoLU3j5v/T6K89GsSQ8wDWQdwoFGXvsOx1H0bNN/szQAhUZ PZw3zfRHcTR19sfeUSp+6XqvGLM0giwt+eCmPCpGr97y7HL3CJ53qY7clEDF XsG+LN2vI6jvG8hxOZSKI/lJHw2ujqD3ukt5TDsqTlBkpJ0NR9AubWJ432kq dvyI9vXeNYKvQMBiUp+K3nEv27zXjeC6/rgtefupqOk7sf81axg3JOr5RqpS UevItbSanmG8Z+MX5rebinLUv2vX4zDuWR5h7i1NxYNJZw5RnwzjzXx/uXdC VOw65jV3z3kYYyfOHS/jo2J3kMfubWeGUb6CcpzNSb5fNbwmR2IYTxUe3vho noIbGy99mM8dwtg7CfOHuinoZhl3WtJoAH85H9h11IGCbRXOwec2D6Cud5ig pjUFHRgR7ZUT/Zgcm/xAy4KC2tzvvPZ69qNxP2WN6zEKHnjRNGz6pQ9DPq1+ 9G0PBfXL3XteberFIsq9LW/+EXj33bW8ZuIHfskN8Pr4k0C3lIDT6t9+4Njm sH11TAK/XzIJDjH5gY22f1gHCQIF9jtxmD7vweKs9CXBVgI1RvhGlgt2o6wp 98p9KQRSTLUjWaNdmArsE64fCCz5eegcf3YXctrx1pS8I/BBJr22xKwL9fCX x6tXBM4lWsesfNeJAhq/Tsv6EXhQvXmj2s1OlPaRfvDHm8DDVrdlQw52IrL3 aE54EPi+89aPLKIDpTv++8BwJVDEVfhDkUoHxuo89Vu0JfD8N8+N4qtJ7hhN uXKJwAq/qLB3ve1ob/S1gmFF4LGPG+zWPWpHZrDfhv1nCdTd3+D1vK0N7UvE T5YdJdDzV5bJquQ2HO6/f6fLkECZD99iYzzasPLyCP2fPoGd/gsnlWTacO5+ 0fpn2gR+ZWYFdrq3opC16IH3agRaXAi1kDJuRXqRdJSnCoGyDxP/PpVrxTNT 9xav7yWwYNwp7XNfC/KbzPf7KRAYJHpOwTa7BRe7hO+kyhOY1ctzRe1ZC2LR zb3juwi807rmr5R2C4o3h2sE7yCQq3+wXEe0BcfyVcKXpAm0VgnaeZfRjI5x WWqeUgROBgcn70poxrTzCVdztxG4+1+NUrJnMw4xfARuShDYVdCvsv9sM7av zxHT2kpg8c41L1N5mjHoX6LvGnEy/i+z8nnrmrD3QziNR4xAQcnZVTOeTWhY oDEssZnAm/f+3v+5twnHPQWtDDcRSOOz9N0z2YjiMxHXfUQJnBj6HhwW3YgH qYqbmkQIXLZJlEPSqBFPOv3noEAyOzHtdA9HIya9WbrwXpiM5zDHWF5eA+7a jKulSd54yUyy7HoDjmsmOX7fSCBc6nNnbW/AW8GPn9iRbJR199zxnnq0XuBy 3k6yzk7jPQ3P6jFhd6UEU4hAZhbL4ZZePU4/Mk7oIFnaRPc6/KrDtXKKK+tI nhJ6nKqUXod/b9Zot5F8S8Dl2SG7OjzA7XN5luQdN6U8vcXqcOJkkqsYeX7x A7nx/tZa1Aq/ffc8ycNfnshbPanFrpsbb2WQLF2V932Zdi3eFXp/TYS8v/Tl b3/K52uQabTh2guSW/hmz378XINrdOHuVtL+v6LXNNIv1yDrcvZzJLktL2ZN 5+YalDn7u8SF9F9xubvy5rZqpAr68GmQ/tXhC5LwCqzG00aJ99aT/q/Kn9NY rluN07NfeP6RvCXZhnj/swqvOLRU/yXjlVqpHXY+owqVD+zIEdhC6uWxb4Ka YxU2O3/r/o+Md3rKw1eaPZVY9Z9cSyGpj2eHQvTsnlfihTcJ6eLbCZzOC2V/ PFyJ2Ubu3aGknu6UW3F551dgz+936zNI/e0tTlRbd6sCpyb9d1vtJHClwDre HLkKnDUZj90iR6BQ0Sc9w7flmHVQIqmH1HeWW8KdvablGHqpAdqVyHoSbDy1 Z105pj18pjNC5kPwtUb16w/L8MV0zTP1/wisOborpc6uFM37TL40kvkVOOim 67ipFGfsOfXfHiQwTfvvrk2NJbj3xI0Kn0MEfrJTH8lULcFLd/eGvThG4H6q UP5HzmJMvL6ipMKc9JeMj2b0LcTTubs5j50n649YcsDv3iLcF/H8KOUigcLe o+85PxfiiwgBwsGBjJ/QoTAhowJ8veFsuIcbgWbr7XU48/LxT7WUZAFZf2J1 wG6lZD5G7aMV8T8kcCbgtpA0Kxc7PnjKLw8k86t8j2Z7ZA4uj5Gjzr8h8/2e WUbYSAYa9XRyqlUR+M90WiLvaAYu7ZL5Nl5P4Pok6ePtX9ORtuPGnVSynp6O 3i3YyvcFtbKFRL0GCOxvFtpUZfIRU60PFqovkPkiyOm3SyYFp1s10t7/ITAh RGHf5YUklPLIeLuVg4KBvgqiJ18n4KnBl9cuCVBQQ/E6T9aP93iW56LXb3kK ciUZyTFM3uGm4LeCm1UoOOwtcOUP8w12V0YHn9KkYJX25KS7UiTGe3VuX3mE giLv13OPNIRj2vE96p6nyP5xz/pXhtNLjNsVJslvTsG1SVKLVL1g7Mg84eBG 9qcbTzeWFbgH4PrkL/knblDw+OHhlL1fHuGcw7YWTTcKJu6ZTw8qf4Bauc2J 4E3BFQtOpi07XDFEl1CzCCD7W7CBtQ6/Le66beoRFEpB71eVU0Gp8iiYSLnZ Fkk+X/DvbLmPNewOSYnMSaTg/H4udto1F7C5bDylnU0h50atzv2M+zD+qPT3 mzLSPoW1a7cW+cCq2x911rZS0K9jddxVo6fQJbA7RHGOgsa/WD9C6yIgjuYv ZL+Liqq+j7mnUhMAP73LdPtAxeRO6a2z1K9wP31JJCphCq9v4gExlQpQzKB/ udA0g5v+xk12+1cAVBjlbxyaQTX972k1vRWw5NA/2UabwaxvdyMNfCtB46bQ /IX1s/hP+HHw164q2ES7PZZ3ZhajHff7HgmoBdugspvH+2fR0mn93NyqZqgq NXfOm51DRd9f64y7OyClNneP32o6en02+GvG2wmBV5fHpwrQcYWLScNt7U6I O7VHr2UTuZ+k6Jj8Tu6E5Z85PgvspqPbQ71G2ftdQL3Nr3n1FB0fSFS+G97e A7zGsaE3yfndKVpF+4RfH4hfen6DW4aBr3uU1Q4WDsMebrez/PJMzNf1FYnp GoazuzdkaiozcfvK/IUl+jBQOz/rXdjHRIXRtt2VMiPQtrKg7pkhE1vnfy76 hI6A6+HPNsGXmXi0dCHhyeVRCC63oi9GMVFGaJWfs/A4XOC2+qbKzcIBarzz DpVx0M9/usJgPQsZkj8LB4zGYc1dyvpjm1iYktfx7EjgODRiF0tpFwvdDd/u 4f8zDk7LNAasD5Pv5wpvExuZANXFmQgdPxYmRK31u55MwL660OFVDBY5D8mm ry4nQKObR0JxkYXhdxYuRw0SsEm2/eGhvyyM6E2zjd9IgXeBfcr63GzUiJ70 1fOlwNp8xqLnNjZOMoY/BZynAm5+7l1zjI30iWl1DzcqiJo+/jJ2io0FnjfF bV5SoVXYeMssuTf2XVH/saaGCrnXlPXrLpK/P1AemqU8BX4qej6fbrGR8/XJ 5/u4puFS9/qL1HA2bn6TN6IrMQ03vhLjva/ZeLbMR2bfvmnwXfGoP+8tG+33 f7FlXZuGKIvjGfsS2PhPOqE3pH0adq7u/HEsi42ZrIyeVbPTMKO6dSAmh43x l576XV01A+go59qXx8a7tq7FvzRmINS4gSpazMaXKJcmGTMDOhneXNF15B79 eZprMWcGcva+iT/UyMYMr8/fvzXNgE+g8K++ZjbGKcQKspfNQm8Sh0MNueeb uTRscRGdhdCzq45s7SbfDwq06N4zCyW3Prtf+MHG1MsvVS5cmgWKlKVVzAAb acUD+7zcZ8H4TlffmyE23qDm6fi/mIXUvl5tvxE2nlqntvVE6SxMjJmdEpxg 48k7Lpa8P2ZhrxKzJneSjfvVbttn0GfhuviFYgMK+Xt3ocw0iTmgxUzitmk2 Rru0bFy+bw4kvDST/GfYGPh87LyK8Rw8JUTDWmfZuENJT8rw6hzEBP6xXUFj 4/NkQy4tvzn4czJuaSOdjaVNc+/WxcyBAsfsf/wMNv4RWXhamjMH/22bXJgh Wdqg18GkaQ7EVmeLpTPZ2LK5u7F8cg6+73v/2JTFxp/LWalrltHgYMT6jcMk bxq2bt3KS4OlsIhPJ9ls9Oehf5ASoUGaT9+OOJJ1swrowlI0uFWZfqWb5M7P +X4/FWnAt5XrLOP/f2fRq9hdo0mDhglawxzJztdf5Dw2oEHWsaS0ZpKZnezp PcY0uM9v0hv2//f9wt7WWtFg7a4Tqloke0y0hxk50eDVklRMJXkfevuvmLLb NBgrDFpQJrnebkfA9oc0cC4z3+5L2kPLPCt24ykNhpsDV34j7dWNdNyREkGD Qw7gXk/659wjgduNcTRo21zoWE76T0p5rHnwMw2ODV//GjNH6svjFFd/Lg2E 7ce1zpH+zuRNGKooI89z6hr/ScbHSI5LLqqRBr8FJF+4T7HR3f1uunkPDU4f rJHqJ+O55sUjTY4xGmzZov5wG8HGr0GnI1/P0oDmk/DEgNTDlfN2tEcr6fDJ wXC3OqmXI9IV3t18dFh7NSpkBakn0+2BvMIidAh1eCmf1s9G+enpA6fk6QCn LiYmk/pUPRRx75gaHQKm7h1dIPW73ba4S0mbDu9cKgtk2sj8blKQ/mpMh2Nq MqE7Gti4UcQh6fR5OpgdzC5crGGjiv6WWz12dHjudf7wx0o26s/E8Ly7R4du fdd1acjG91JGTv0+dDi+PnTDsu9sZKhYqK18SofPRhv49uayUfPYBg2OGDrc npd2Vk1n432L5GWDiXTQ7w7+wJVK5k/GObP3X+gQQmyw/ZZE5ruMW2tHMR2c eEYlvsWw0Ta/9PHhGjpo/lWlcEaRz5/opMS10EG+r71TmawfYZZzPZwjdAin WxbJB7GxpzKavZZKh9rEnMcLfmx8k+/Xv0Sng067mECsN5nPQ54Kj5cz4JWy EnfobTZWDls+N9zKAE2zX1M/zrPRJ3d01aI0A0aOnbvIeZb8/hZ13WfyDPA5 B7D+NFk/OFcJ8CgzIHg/x53lZD28+nLM4LoGA5T4wuda9cl8UeLI/AYMKLdb H/MYyPioPJea1GeA2A3xK2IaZP36cPLa0lEGDI3kHwrby8ZcH7mm0hMM2Hvk 4HYNWTa2cQ1JR5Fs86Qk4sEmsn7+57biDMnLt98/k8jLxv5t772ZxxnQLdsT n0XWb3HtHQW3SY6UEahLoLGQ97R/Y+8xBrAl6QIPRljolSDcLU3yCsmQIo12 FobpnWIbk983cJ3e2FfBwhUrmw7aHWFAexz74uVvLBSrGhiyPMyA/XZjI63J LKwSDyP+M2RAVJDg2I4oFpYES7otHGLAhmVTH22CWHhceyk1mrRvxWzCg8ce LAzpyP4gpceAt+FX4kKvsdBfh/fBC10G1HMcueBjxUINM2NDcdI/yuFbcsW1 WUjbnnt3334G1Iz5DlYpsfCDNy7br8mALq3abIttLBw5Lx3FUGNA3OsJX80V LFQ/OHly+24G6Kz4uZ9eykSz/vq067sY0HbtkTORycQjy79ffL+DAScCKt1q 45i4dydl/7dtDMisdpUy8iH7s+pR25wNDJCyT7Nw1Cb7c+aD0f8EGCD9Nr28 SJGJBxvkct/zMcA1PEZ2+VYmyoZpU2W5SH/11Ewf/8PAf7WV4sLzdLjXr1W1 No+B6xr5fneS+ooJtL/UlsTATL4nWl4zdKhKi17v/4qBnsL020/G6OAb/qbw +y0GWpxxexFA6tevoNfPYTcDlbV0zI2S6OBwkfLj91s6BtTJG8rH0qGs/GDN 4UA6+o+d2zQXRQcBDYVvAXfomJgqKLXrGR0M+Hv7f5yg4+WIuBX3b9FB5n6W ec9fGsY8f703U4MOIr2WOY8taWhRnW3Vnk2DI7f8+j9vm8Xtl3ZumE4l6/Vq IZnyhRmUH8j9TYunwfeg+LvNDTNYsl1So+w5DQ4I9b1ruDeDv0pzrEKu0kBN 72evU8s0hvC9E1rYQoMXlCrLbK8pTM68ulue7E9NxCOFiD4CM92qGojeWXAs ELA4k0Vg5NnorSGVs/CpLz12M7kfTHKuy4yKnoUqvbtPS8l9Z/aVQEy+3izo RmnO+b+cRMnHjpv9X87ATmZtysXjE0jvt5ETfjADCXbyiX1SE/g95rVfpN0M NFAfJzssjePjOyvX3yT7+2rn0/GZn8bxKu/9W/4D06AaEP5iM884Gs+KHc+X mYaD+fdOJTeM4g1O/v3R66ZBy/qAnGXiKGr5tUTeXpwCw/++G+3wGsUqXqMv IrVTMODz+j/OPaPIrZulv+PaFMxPautNhY+g5yr2vZEzU1C2PPWMrfMI9p+z tYk+MAXXzCe4fxmOYLFn1uPV/FOQk/vyt+vSMI5MG/QULlIhQU+Uw7JzGPcI Hd5wa5gKQu2dBhfSh/Fe0ccq2Voq7NnE3OEVOIzJ/5J50oqo0Hb5U/jNq8N4 RkfPcls2FR6UjrC/nRxGP67dsgmfqKBuIZ0hqjyMclkbbQYiqXCQX7dK4dcQ 8iv2fRdxpUIqd4vRmydDePh3YdO33VQIqnbx6rQYRO3J0eRaaZK/jlSbyQ6i i9uOR9PiVAj9OXSHc34AM9Wpl86vpcKRF1ka488H0Kn8LZU1RwFDleqm9Lp+ 7Hb+S1+ZQwEPLxQ/atCHk+6x4TxfKPBmU9U3d+E+fFcx+EMymQIRv1bfb5vs xfvWES7eURTISFH58C+gF3eJrZtf9KJAi8HLm1oNP/DVxRtrieMUaGhzPC58 vgdfXdj+cNaAAicVBQJQsQd357aocOpSIPxI0LXgFT04OhLgb6NGAXhFO/o6 uRtnrbpnx7ZSIFRebthpvgv5IlirV84TMNlZrlQa2YnbYnZuXE8noEx2p03K tU50O/Lp755pAjiFtz7M1O3E7pWWfh9GCEjJ4gnZOdOBf90DLp9pJuC6Ydmh Dwc7kFNuu9VsGgG6RleYYfNt+PXM6InvHwkY0R8R4qxtQ5GDfIUxiQQ8rjS4 E/m2Dd1q2rRiYwgIsP+TuEO/DUtaQn++DSHgZHnZ64HwVgy+WsUh8JSAvORE nwtOrahxhnssMoCAA4WrVi6HVtR8YGYw+ZCAn625dz8QLUg0KuZ43SaAcvEd zWZ/C67ZfuRelAsBNvydx4bWt6BKYv+FWmcC4h+ZvHQnmtHc6lORoxMBaXfn PFaFNePhkqtHeuwJWCFmfu2nYzPW66ZIWNkSYGE0OrJKuxm9931uTrpIwPRh l2WM7iYs+rXp+1UrAnL/G2Zm+zXh4w5/IQNLApac3qql723CttkjqlpnCTiu 82VML7gRxd/+4jUzJe8r4kPt39eI37LNb/ubEFBimOj6kWhA/0zYtPMUAXOt mQd69RqQvuejfdRJAvw8z/IfYNbj+okA+20nCNgi3v6kJbYeyz/zSxYdI8Br gyojzKge4xoXY24cJWDtHr1w/391eN6oYlz9CAFf2nIwOa0Ov5+d+rPxMAHv dDULF87XYUFF4yy3IQGRW0K6b/HVYT1vCW4wIGDdpO85scJa3L91mZvKIQK8 /deE0K7WYqNx9hYnfQJezewsmBOrxaAzrPxsPQK2JovsEG2owXHhfGNhksue KYtefVCDQs1Tc88OEmDlsqZrcncNzjDPvBIj2avjQkLQQDWy9n86XqxLwNHP 6tWmIdUo2fhQzJ3kpfx5H0Ptatz638Y1R0i+KbZX7CK9CouPXRZVInl4hXnf m7gqTA89YyxPMrOinvuvcRWKKuR/P0CyY67hrA9nFbqKGp6zJ1nGiKjf9a0S ldSiVBJJPn1m9zTLoRK1fRRP/CY5SITr+dCmSnxu4PTZjryfXHrbv+n6CnQ2 DjEjSN6jdcND1KsCKcoVp7xJ+94qqR6x3VOBivcFYxVIf8gkLk9tGi3H+dWX jjBJVsvQHjN7VY6T5m6nG0n//SiaU/ljWI6Wb4hCJP3rmqEwXPS7DKkZf0Or SP8HhiQpvEkrQ9tBRtM4GR+JplrrMOsylBMw1eQk40mYV3NWipahbM4aNXUy 3gqfKnr5Wkux06JpvJvUQ/n1N7n9uqV470XX+0NGpD9VnJ9e/l2CNYubF6pI PXF07Jf/l1WCfPe3e3OeIfUtJeVwTboEhUVW55aQeoQaiWYYKEYT4yvhz0m9 WudPR2+PKMYCvrzDV0k9X5jInRdbU4yTm/yb+ch8uBlqzw7qLUTZZ9+u2ZP5 cuD68DXpE4X486A7tjuS8WivFuou/o51gbseU68TINTkJuubWIBKq7iLV7iT +hed7upwyUOXbEfJXx4EOAlePCw8kYu2acd1OL0J0NLIPOdgnotKgZdyTB8T cFFhZ5KK9jfkMz3iN/GS3Mdjjl8wWZuN5buC2+5HECAmHehNf/gVRW7uG5SK JoA36b/CMHYWsneI7s6MIwAHxZuJvky0LzkdmpdJQG3oWc/ET+l4NFUqdzqH AJ/vuq+Nt6ZjJMfvV8oFZP069njkl/QXfBgb67pURkBFh6uWHysVXzkm+Ll3 EvDxUq70WGgyMm7pax3tJeCOmP3V6rtJWLXw9Y3iEAFcQgneL60S8WzN/tPK VAJin9lOtct9QLtv/sdk/hHQ0HmvJvDJO0zU9ePPlafAaa7p+/fzglB8ovmA njIFLOz9qeFTj9ElhX50UoNkkc62Z2I+yJoSnrtJ1vvmo7BmkH0DXWaDqyNt KBDAz6UT8uU2KJ/6c77XiQJeM2WXBi94wR5GWpKKCwXaG95tefHEF1r35b77 cI+s/+/Yc3mXn0BGGZ+23EMK+F1x3uyi8wx0/Hx9qgMocO/cXxwJeQ4n5C9a e4RSoEr/yPu+fy9hy8y6zE2vKeD+NzXW4eYrkFE+2LE+iQIqhJXIdyISXm8N kNqWTYFbEcGr/ayjYc5iwUa/jAJyokn/qnrfAiNJv6xxkALlUYwJO6dYCGis uj4gSoWbZl6KyVcTIVDi5Kvvz6nQvb/hFPVoOtToi77ni6WC1Gx3kSctHRyn l1pupFNho8eRZQ/DM0DRe3X+1SYquK51V20dygTetxJzymunoDklifu7RzYI PvzhW/tsCjIqLOahNh+EQ97OXo2ahmtiiW3tg6UQK3Jc0ugBDabOCw55WXWA 9pvasSd+NLA60/zZ/lkHtN9x31waTAORNnk5u6IO2PXx9fPdMTRQtdT6nLil EwS2+JnOFtHAUERJaO9QJ5T7Hd7AuYycR9e7bTW27wb5WQHzRS86bPYKPvXR txew4AR/vAsD9nwu3de/OAT1Jcpdd9wZkO+fuk5VaBjiTT24DvowYHd2sePL PcMgg1M65c8Z8MGuWsTGaRiOEDdS7NMZ8DQ92OBI3zCcdv1qsmWa3Kecd9zf WDIChkUm8MWSCWqyN++EBo8BM/bRo8s2TBCxSrp47eMYaIf2XVnnxISz3w41 Hq0aA2uf+nb9u0zwFxb3510+Du7fB77vfc6E+y90vkS6jsPohvvcFs1M6C3d o5TkNAEbx15Oyh9lQZ6Pzrr15wmQf/GoqvsUC95xXlrz9x5Zl86Gttw+y4Lb 2lYFo68IWO2VMuhjy4LXA/LK0eSccG/f+iPjniw4p5Pbl3mQAl93vmpJS2NB rf1igYEsFQ5L/P17/isL1onNuqTpUUHkxtuTS3ksuLVi1o3bmgoaJ9b2cVaw 4JrQ6MnY11R42iy15/APFuR4yCnpck/By4raiNvL2bBzudpefsoU5H+9abaa iw1nE9c4pnBMw+863aMB3Gwo2nX5uLLENIw8qDA9KcgGoa0Gc8Jm0/D9ydec +e1syCn5eUCsfBrKDCOa53awQcdFNXDv4DQws5SVOuTY0H6tSvy/X9PQ1P/f 0cvKbFh21HRyjdIM1HJEYagOGyaPcns0RM2AxJ0fHYQeG8ZaZB4dz56BrpTj h+UN2fDgRu/FvKYZ+Cn3ssP1BBtyx3IvGXPMQoPoKcc1FmxQfqdV7X91Fkqe yp7Is2SD6JrnDecfz0LHfzJpxhfY8CuIY5f4+1loZhrcMLjMBncZyQTTtll4 76q6sOMaG6RfCZR/Up+DtQoW7VucSXtONufrn5oDK605xWU32eCgl3qvynEO PsS9XHroyoa/8fKiD6PmoG4zbZ/kHTYYbRC3ys2cA+1LZi9S77LhYFCpcmft HGjc7N3h5c6G1LXjZuW/5iDFckm56j4bzpkmcxxZQwP5SCX2ogcb7mxICpAS osHXM19Pb/Bkwzr1W6F0CRoM6wwoi3qRvPIuK12eBl+6ZbxXebMhbW7x6SV1 GjyJF9o6SPKHEpW9XHo0uL1kuPjuIRsO7zv1PfokDTYdu8s87MMG+ydWK7ef o0GTgvNiH8mjKqaD0XY0eBslPHf2ERsq/22S5XKhwRauG1hIsmezW7Y1mecW oaGneHzZ4PxK6kJaAA38dn4M1iG5UuH70tRL8r7fuSwvkpxiWGm76R0NfCzW JNiT/NUw86bGRxp8vqxwyozkPLnuBUNyTwzP5zmsSHKXg1uTYTENrhacuj1H fs+rNL9JvY4G9tltRREkc76LbxLppIG1mfNaWZJTIpQTiSEaLOcWPv6evH+C nMWu5CkaqPh22Swj2SNrdq/ZPA3Yf7o0DUn7/Q+kv2KTdUXsskXRXdI/Jc76 8o946KAUXND+jPTnMgut2n9CdNjrfMshmPR38DlugysSdHAxFbK59YDU90+e exW76GArbpSmTcZnWa6v2lpVOjy2nVVmk/HctBhzRh/osK+lsz/0HqnH+iup TofpwM+RdugBqYe6DSNnvc7TIaJ0saeB1Isl/26L6/Z0GE9R3Md5iw2bqQHU IzfpwJfbyC1L6s1CUWddvS8dOi+rGQmSerwaXXriBrmH/6x/wjvuxIZ/QTG3 lkfSgW6zL1zTjg0mLU9KKR/pEJr++L9iG1I/hydfaX+lw/VHb5d2WbOhf7dm wqNCOuhmWr7JPMcG2/0qZQ1N5B6fN3286SwbZouOeLR308FdRbi55QwbYF6j tHKYDh6XT7L9T7IBJ5wPXWPSIXlwxlnzGBu8pdJ2b1uik3OsjVM7mY+SXC+Z yMGA1au3hOSQ+asgdvJqoRADMmy23tTYy4ZkhX86WWoMqNu4kFawmw0qgQ+e 2wH5/HfelVt2smGKlmP1z4AB6kebgn22sqE8mx08dJYB2DMR5ruJDb58Vg9k rcnnBVpP2wmxIa48lPOMIwMcCk+EVZP1yIp55rfFPQYEOMwThpxsqLZcZCs/ ZMCad+9fJf9jgc2gTzwtgAGBr1xjOVks8GI7K26IZEDr8lvLVHpZ4H9WPOXP VwYYvRVMSm1ngY9m7o+ZAgZECbswVzaygKP1yzSWMmC6pKdJo4oFojo7P9yq YcDO4xlyJ4pZcD89u3h1MwNKJH/OapP1Vk9xB7dXJwMyY15zrM9kQUWxtH5n HwP+iOneeZTIAiUeSrbCIAPEDHzOl0ewQIdXVeH1AANMtG7qTQSwQFN/M+dI PwOq10b5Ue6xQHW2/NwakndWNd9tdGIBM/S+2TryvKvhDTfDz7HAtyZHnPWD AU5ScrUHjpHvr9rS/q2HAW8Ju65aLRaMSQe8t+hmwLzRosNTcRYUH4jdcKCD ATXxeq9L+VjwpfjSGq82sq8mPejs+8OED2Oyae9ayD65sbKxqJ8JzVGe8d4N pH3EOxX/BiZ8DunV1aljgPeH3X9UCpnQ7xarOFLNgBuWvDy6b5gAL+JCK8oY 0Gvv/Cs2iAlnDCZMVpcwIPLZ/feEOxMu5bZzyRcxwFz1mbWcORM23Uvr2phL +j8+nBaygQlCPNYfPT8yYOPvj3UKK5lwaKPBuYZEBtzc9/RPDp0BbHN1/b9x DJA/NJjp28gAN/mFa6uiGRBzqsl9iz8Zt5eOWPCE9I9CYNZLFh0yv8u5t5L6 4baX2qEwSofvGR73v1kyYHjnHZO8FjqcFPk862vGAOk8zdG4NDoEcu3CnmMM OEeL+1tD5umMdo64M6nfgliKfGwXDYzXqaxw4mTAqvPbu2wryLrJ/bFl8i8d Ki9dOrI1iwYO0mm3jRbpsNWmJPDmMxrU/bf9xwiVDk43LOyjyLp8ov7wTX4y /16vVPnuaDUHuhm+uzJfkt+VyHhURfadutxcCVoQHVT5PfI2Cs7BcG3/nc1k PeDW3HwhqGoWNG5nUve50qHJonNDr+IsyNzmeBprTIfUa56jnn+n4Z5XiIHy OjocmEq5KxZBhQ2bn7jFuNPgVJMpy/QaFV67qfzhvkEDwUtdHc8PUkHBda2S gy0Nzu8/ystDo0CkwuFQNtkvNlp8Wrb5MAV4V6f3X5Kiwa8EZ0n5pUk4ojlP 3A+fg/i/MzptjuPwe3akzH7LLKgm7YndoTMOegeb6y9wzYJTZvu5YJFxSL+v dPDw7Ayw67+2PSPnptDDq2MZhTMgWbNH967MGPyWaDZNs5yB4uvfEw2IEdg/ asjSi5yGVQf/xVCLR4Brb11UuNc0HJC9aZv4egQih7qCh+ymITuyU8zp6Ahc bJJLtFedhqXXAQcU0oeh7uHD/iOtU3DySnBu/JNhEO2nS3jmTQG1LNZe1WYY 5HMkz6W/n4JN5/Z/HdUaBhfikNSI/xSceNjP+WXjMAxGKAttcJ6CuzPLyiJo Q9AYYV11yHQKnmk5FsTVDsHb0y0LD/dPQVqUhY3P5yHgElkpPbV3CnJdtkt5 hg6BrfAdFTvZKaAMleWJuQ5BAptzYPuWKVg7rSXXaTYEc0vVPxiCU7Dibdbu 11uHYK2UxlL5Pyr8s7u9mHtxEFiD/23X7KYC85aUgMfnfvgWbqN87ykVVr4b DJC5+gM8twpkBq+gQknonM4HjR9Q3Bug9/QXBT5pmXWfXPUDxiT/vXnLoMCo 7St/xfgeaKL3Ny6OUMDoYrDKmv5u2Pdp8uGLcgokoEQFcbYLWLu3sSyDKHD+ kLStpXM7NPrRP0fvoMD7jGnNjfrtUFrBlHaQpAC77cAy2qZ2MGuIlT4kToGf TlcsVlS1wf7CzF41QQqsX654K1qiDRY2n1oxTe5prt4fu48vtEJrNE+E/m8C GjvzFLY0tsJyk2Bm+jwBt7Z7xAt7tMKldAOpwhkC3NgTpnY9LYDD5odS+8jn +T1YyzJaoP2y38+wbgJELQnnbwEtoCTfnBnSTkDkKf/FO+otEHp1wqSgnoC8 WyF/1F83Q63vmu3ThQRotJt5i2IjVPhyqOXHE3Cab2gg8GYjRFit+1j5noB0 XYsbclKN8O2ZUNj4WwJG7ar+LTxpgLxhr1GLSALq3V86fDGrB66jrK1Szwhg rNz5J5CnHn7+kWWVBxHQz7Q98xzrYCJI54bbEwIMy3PXi8nWwfLC53eF/QhY u9zOatPvGjBYl3dO7QEBeinST7XSa2DUeQfPtfvkfZxteP1sa+Bc/LpnOeT8 //agVcnj5moolyUkfe4QYMw70XrgcTVIFv07wHGbgPnaANomrWq4ojag+/oW ARmVt1fsT66CsL3+Qks3CFD/6tr00KoKnu0bnKlxJkArKu88saEKHhwfKv54 nQDWOUnxG3WVwP+g50XMNQL4vi96iPhUgnzQGoeEqwSkXZyfGlKvhEWdGD28 QsDRXsPu6rkKeN+UJT/tRNr/NfxLU2IF3JI2kZInudrz7wDrfAVEWNxR9HIk 4NHtiy82rKuA/bcvKPc4kPFPvRFkWlwO1f4TXw6TfNeAyZt/sxxGt9SmNNsT YBPJZ35gezloWX2Svk6yh/mxjJH2MrBX4pOVJJme8No08XEZbD9ukj1tR8BS T31ggHoZnObIamkg+fbV9BcB1FJ4rCjwsILkh44TmQlvSqFmp2pVG8myPJGK gydKYf5RVdIiyTWGHsdUlpdCmclpGRXy/JQrA8c+ZJXA+hDtQ49Jlk75cEvB rgQ8rPq550j2LTFd2SpSAqqBxnevk/f/FS914FldMSgNpD7jIO0VFZ6xveRZ DFFRLcYZJAfY6n0/vqcYsij+Na6kf7K2zHO8q0ZYYXmLcYL0p+VfQ2aDAsKw 04YWIP0t91izQia8CNyXV9sbkPGYfi67lPS7EKR5q3JtyXgJ7BcVNbpUCCpr ZSqjyHgqjA5tXqf0HcJu6IgfdiFA+VIl//aIAjiVsceplNSDRZ/IirN/86FR hM/9NKkXYROPyS0NeXA2N3Eyx4287w3zkc8qeWB8N9IgyJ2AjQZmk2ZvciFr vvf6HQ8CNj8q2rJw5Ru8qZTY+NybgJLYQ+aUthxyb9wRUexDQLSvYRpNMweu lz8Z5iL1/bWxskCdNxs61apbu0j9i3Vf87rj+hWmN929d+kpAbG+/26V9WXB u4wdlJUhBIiE+6/1+5wJH0YebwsKI4D3T0XlvFAmHBhsJG5EEDC1LKLxpmcG 0ITO37kWRQCufD/x4GQ6OBfxDX0k81X8tdaBwNFPMFHsVqWWRuphaMkp/etH cBgqiW7NIJ9nKTS3+KXAk/VDO/2yCXihS83/tSOJPOepkwJZD/j6N10MuxIH J2ceqT1vIGDrYfLoH88hacb1WDiDrCeN330f64UArSReRn+BgHHP1C9DrYGg WfP7/eolAphV/GPWMw+h3yfavpaTAlHL6XeVw1eDvi+rWX0TBVwCv76/d98a 7R7e1fHbSgGijvd4eNpN7P1ktHdcigL8FPMCpbqHKHVq56NBRQpkerTUbBh6 jk686hcKD1FAi7927W6JMFyTV2OUcIzkT2lrxy++Qje7B2/en6bAxZWzxfpj UehkYLW7xYoCrg/2qC7IvEXfgk57LlsKnDF/02vu9A4l+HgmT1yhgGCz38S7 n7H4qed7jKgbBc5FH2Xbi8XjOXn72mhPCgw1b933HD7gbS3a9j1+FAjeJh4l bpOAXR1RCT1kP+hSWcU7EZCIOqccr6WHUUBJfOSCcWYSej3bO7EllgL/OWal O/Ql48q7lRzvP1PAq3+7+Iu9n9Darcelp5ICL2wUQlKsUjH4/h/r520UkKoI ++gc9BnvpP+ndm6IAlebpfesnfyCm4vy6reT/Utc+dcV8gOooxxp/0iBCnLD mwXDpb7h202Vo6eiyH7nHzb2OqAY2SHsJ10eU8D76OefTd3FeH9ql51UENlf VYWyGneUYC+XzTuP11MAtzc+a6wqwTPCjTdP5ExBtcvWOmXuMrQT9I90oU2B 102d4M+RFZj3EjaEk/PE4NyOwsG+WtxvnOPLaT4DlHP1Ig3L2nB71dov7cfm YJ2G2w3G3jYc6OyOnz0/Bz/2mmSq2LZhq8Gj6dXOcyDkveixrrYNq59Ixu1/ Pgfs7J9Zm8LbUaV3X1lsxxzw8K9ydlTqxLdmw3sFFWnwYmmNXad7D564Pnfb PIcGUlbXQk+l9+DdxkMfcotoMNC/+GpsvAeV7rQXbKiiQZJa75VTp35gkUqE bhk5h0aZ7binvbMXh7iT5ucXaaC+0bNWr78Pk9IXbeL30eFyxWTAjl1DeFvp /Cr7fDp4c1ZEH9UbwsN/+B6mldBBIbm0947VEPqVJX6mVZPzZU/H7ZEXQxi9 q6v9chcdWl9m8PEsDSFjjeNpbnKODl84ueZJ0zAWBNbRNOQZYFv8I9/RfRQN vJbcPkcwQPclV95S7wSmdSoXNJJz/VlFu+zS3xO4seP3YI01E3Jw6KL/5km8 f4rf/psjEzZwHbnPc24Sy17wsh3uMeHgsWfD7J5JFFswdN0WyYRg7Xe3eLoI nLM/HVTWygTqGXpv+DyB942O6Lf0MMFMr7lMdCMFjw+waxuHmFDuN5bPe4aC upH7IyNnmbBTcXt7eCsF49rLuy+tYYF99jodoo6KJa6dul80WcAzItM5TKVi 8Auz9Uk6LKCdk7vatGYKu4um1J4asOD7yT1KfgZTWLR0ekLcmAXPAhe2nCqd QveA8GwLRxYMKyyVDQ1N4YHzlhx511nwJnr1M+t/U2jyTOHeSlcWXPgvb4uq 1jQKM56DpSe5N/5au3xT9jRGyLUpib5gweFag7eybdNI3SoR2/6KBUZuX29I 06fRDUL570ezYEj8vDYhP4NemgKWAR9YcHnzBd6A+BlMawvMeZ/NAl25YzN/ imfwZrmwUjq5d9qw2zgvDMzgtkaVwJRCFoxeCTQfFpnFbdlcxuYVLKhdTx3q fTqLIQqSl1LaWCB52bMxL2kW3XZ9HKvrZEGR0poFn9JZvKKqJf+jhwVbHp3I 7liYRbmIY9F5g+T9CzHZav0cPky6GhQ4woKX7WEvWuTnsMz0R8uhcRZ0WMys cLWew7N240xvKgukvErH4+7PYd7d4ci/0yyw7Yy5mx8+h/vSCBn7OXKPVZO6 EFczhzdO9D1fZJLcuCAqI0LDahfnTNElcm9W5ijrlaLhDrZH2tQfFgiltN31 3UPDw3+/FiaRe32d6DfLtCM0jP40nNq/gg2Fr0PUFc1oWBCbddaMgw3qQl/v xtnQkPrb6Us+JxuOHbp254IHDRuNzs3vX80GB7O1w8kBNFyzfH/W+TVs2DAv yDkWRsOUkjNf7bjZIKBc+40/loZPHuwbOsvDBoXvto0Kn2m4ek+UuAovGwoq V245kEfDi2sPGC+SbPsz5f6BChrWxJHzFB8b6gdNvyu20PBN5Yyu5lo2mf9r swX6abihdqA2j+Qb1sH7xggaWhjyT0qsY0N03d1tSSwaequ2ed4g+di+swcs ltHRL+vlvWSSY11ibf/w0LFuf09RNck6C5+vhArTMbHjkFoLyb+nUEpwOx0X FKOrSkj2WVxm66dAR2I03SKKZNddPssmNej4Ncqzy4Lk8E7Nuv/+/3+J2sIy K0k+d4/v9V0jOsarfVR4Sd4PXxXuTzxHR/HHj3q4SRZ7/fNpmR0dH2zgXedE 2veh1sGi6SYdvVbmf0sn7e9rKLxX40HHYYEV3wdIf0lQrxRl+NOxOzCcg0X6 83xc7W//F3Rcy6/vTiP97fVRmPPYWzrmb/zH2U7G407Jnc9/kuiovr05NGYV G0ID6VVvMulYxDm60oiLDVJ2d3fsLKSjgchDQ4KM74PD/TFxVXTMerDe0H4l G7Re9S9b00rHX9ZbpuuXs0FJWKApeoKOV9ZeqD76lwWJX/cOVdHoKPWFXClI fYmr10kP/aLjx9VMucu/WDDiVRfRvpaBL6ym7ITmWVCm2OqQLsJAtyDbLVWk Pudyj3+7K8nAxT/GtVZ0FhwwP7yhWpWBM7e/pQCpb5HPWpLbgIHuMuwXrygs aOF9V21ryEBNDU7J9gkWWF09ophhwcAI3ZyRFcMsCAl4E/HNhoF/PqnMMPtZ 4BDoTCRfZeC9Be2TdT9YINfr8eKoJwNl1HY0yLez4N2/pRdLjxmI/s2lOc1k fZKcqI0IYeArAZMymQYWrBo2VHz6noHbl298nUvmezf3wKR9CQNpV748jSXr hXqIRKltDQM9RQ0bzDNYEGZ/+dqxFgYG++b6LqSywPPZo4dtQww85FDPPxpP 5peMZcgtgoGbWZKlSu9YUL9HKff3HAMD5XLjbaJYcPv45g9lfxl4q351plso C/Zv0OJdycXEFRdyCiyCWPDgQ1/3Tj4m7vbnTt/2mAU7XOmT8puZSK0N2mB1 nwWZW9ybV6ox0SmP8+ezyyyI+RZkdE+LifoGUz6vrMjz11uXtusy8eMnu1s+ Z1kw/vkGap1kIn5VPbzqGOlv7ZppwzMkN4ive6/Pgu0rL5zad46Jb/TCf4sB C9hSMwX81uT5P/9b7qnOgrznFsvr7ZgofKiMt2wPC+6pev69cpWJ0jEnV07v YsEGvsn6hitMtL/zVvaNOPk9tjKjz4mJ68Y5Lv5exwLl0Za8RkcmHrE9w6mz ggVPI5IOxjsw0VDb7tw1FhO8GpLTLOyZyM7hSPSeYIJWX1WCy2UmCl6KlDlf y4TVQ9w32y4xMa5s56jMdyY08w9HC5P3eyV6Obb7MxOub34ZeuQ8E60uBCqw Q5mgf2ciSoO0J1ZC7NFFHybIBBb48Zoz0XwgbuzrLSbwGWt6WZmQ5z9mdoua MqHi8fmm/lNMbBopoO0yYELQjl8+OqS/gk2ubpVRZ4JG9O/XOYeZuOD7rKZX lAnveMKUz+0n3x854Xu0jwHmbFWHbxpM/Hk5Ncy6jgFpP0WsWapM9GohTlzM Z4C0y/gJAQUmykQFrhWNZIBjyMWFXjEmKp/lrPU+zQATo3mZgyJMXH3vvta4 NgPaSku9ngoysfl+yayKIgN45mMvVa5hYtrpx+cieBjAcrRm9bIYyC/pdOhm GR001H1dzEl96bs9T1HPoMPRU9lB+RQyn3iTumdi6LB1n+9R2QFS30yVAUl3 OnD9yN7zrYKB46LmZsWKdDDJ3UytJ/Nh+qFWz9pIGrzOD3sdFcBA79UmQd2+ NOgwjp058ZCBjRE5K8Nv0kC3+MmJqy4M9Eg/5Dl5hAbVxT3+XsYMtPubKj// cw5uRcwOqwgwMDriUat20Sw4ysYzj5P1LWjnfxdm903D602eXstu0THzcpgd v9A0UAq6yuIc6agiSK+Wm5uCcqm3Ct9M6fh+Repto/gpWLHyeYaUEh0FTH4L WfFMwajS9THNIRqe+I+6be4HBUYObNNLU6NhxWr88td9EiijB/q/ytFwF6fl W9kzk7By4s7RDAkahiU3jJgrTsLDhuG7T7lpaC47sLF9dALyu3si4gvm0F0x yXvv8QnQ4606Fsw5h/SMZSfo28Zh5zW1rx9DZtB7Q8ey3Z0jYN6RMb38zgxy VFSd+Jc2AnvtFWxPWc6gmFDCe8J/BH6sSLDvlZ3BC4UrBFbsG4G/aoFrUkum kVNii7blu2HwXZ8V3pE0jTkPhBsZbsPAZXRj/VLwNO6Tu90Qf3oYshuYB3Ut phGTT5SYcg1D3YqBM+WMKeSe1xjhcR6CFWX+OhPdUzgge+now8ND0EY1WFyD U1h7wu3UBqkhaNbZp/bp4xTa3/DYx1g+BD2rOq6eeDeFP6UE/1OvHQS5X7fN OcKm0KbG3LAsdBAiU1+sagiYwscS2674mQ3CR7Gqjlcu5PnnuWc/jw/AZ+c8 3kj7KXz/17tF8PMAnGnmVk61JJtmoFv9F9cB6FTwus9HznscR1bwPuEYAOHF HVrZYuT37DMy82T6gfm5U+HkepLlPE1q5vrgyvsbV5dWTeGQAHLz5fUB6AUt hDKpWHj7aJLisT5459bwNJ6cN02qzU1/uPbCZqWj3928qHjA70blk6YeKIyR d9s7T0Er4VfLrJM7YUvOg8c3ZikYInF9t5FbJ0QMWgaUTlDwrajynINhJwgJ O4TGdVHw25uh1RspHXD7/fVW43wKWpRr2JvKd8Cfi8lljx5R0Kwi6I5Cfhvo DIqVcz6g4OkhauvLp22Q/PeZ6Zs7FOSyPcS95UIbKLytNl3lRMHguHVt7zja oOZXdl3HKQq2pbtuMzrVCo9qK55aSlPQ32XnIXF6M/yvgjOPp3Lr4rghV6WB SpmbzFTIrYS7ZcqU+SYZkqiQyyuVBmOmMiWzRlPDScUxZlpklumYiZIMzzEc 5zhPN2V69/3z+9nPZ6+1f2ut/Ty/fx5hlbRfCnvocGief41S34leHA2I4Bel g27+hbgz6Z0oVPGJrLAAHRgzwZMCup3IwSzTU26VgNC2yT8J5Q5ULWXYkfmL wPPb/oAx3I4uubglKP8gQNHqmPWhyHaUKxbiFDdLwELFPn+Hr21oTeXHkMkw ARt20ei2D1qRSKGpuM8AAbX9DZJ7NVvRPhvL5dweAlTMy26IT39C4t8Kci+0 ESC9LzGHqvsJ6fPTU3qBgN7IIlBfbkarMrWBryoI4Nd87JtKaUY6+VvV4j8Q oFVX1Chp24y6zFePZhcQYFeZdr+5uAk5agby0V4RUGncvVPJtxFtV3pl7P+C gMQNbr5n5BqRa866PI1sAtwqrb1yvjSgof39P8hnBLwchSWKYQOSL0Rf554Q MDoQ4em8Vo/sZT8v/3qEWcdDXaOoHl1tGP9unEoA18eabOu99ehVRH1hfDIB z2U0RR/216EfHJVN04kERMXOZs3H1KF9+zc19cUTsEqzeLR+qRYJtWmVuT3A 6y6mox/za9HBZIuVrXEE7Avb8T39ci1SaXMJSY4mQLdRtiuj7yOCGuWW61EE JMg5pHXEfESDmg//cb9PgKT+NZqQ3kekIXrc53/3CCDc3k/eWa5BR3ya+qMi CdCk9+ouFdSgbIHGjA8RBIxf1rFJ8KhBpb9fd/0OJ8BLYSpSd38N+me0/YoZ ZklnQ90tn6tRB+WOT0kYAW1Bcez5h9VoZmVsQgXzraQgDrpRNTp2Trq5JpQA h17r7kWuahR0wkDCBfNYIu215nVAVBGBKWHMK+/Z3wonq1CfgorU97sExNRw S5+2qUKTAXpDgDnspovJnqZKJHu3jTcP8/rrTPltapUo7K3q+wLMt4y5U+Qp FWhIrI3WgvlAfIjrZdEKpKLd6f0Dsyg56d4SXY7WxTjGHMbxHp3Su222WoY8 RQNlwzAvV9q4/+tVhi7+s1tnGrPXp3C+qm8f0GKj0BdnfJ7Zu4lKOVYfkKmg 4m/Gf+d19aZQ6kuR+ob5lNj/9FEjTrUdLUVF08MlJ7B+0qU183yUElTy8/TZ 9Vjfp4LPXFzFStBx5ezAMcxZ2uuDB2KLkZwCS6YT18PmT19hF85i5DdqZkXD 9TJWtuTi9S1CelElnJO4nlbbtvNXTxYi6cKlScNYAiIf7Znxai1Aa20m4mm4 H5JOXHFwQQUoXy24dwn3izTHJh13KhW1Mw82LyUQcE73V2VOaj7yTFLmTksi YNfN0tUBvnwUryBfYZhCAN+nmg3CgXnIJPH7i4l0AjymOKjXPr1DVmet+jof 43rF5iSrUt+i5BHhoI6nBEyV8TRwp+Wi8P08mrxZBBicPZzRfJGCSpa4Djrl EhDcOXeGyvUCbbvo7SnxnoAyCU9Brq5sdFDYJoSdj/tnjvLTNCMLZWxu2TNW QoB5llFQD8pA3dtxvDo8n5/2PPVbTEVijXaX9ZoIyB4e8dBPTkaaRtmFnZ8I 2EPMt3w9nIgED6Z4KHQTIG99wa9iOBbR+loHmGMEOJ8SH8sMvIEGqqNqRaYI qL/WnBj72QNRxo/o2s1gfRpbgyLcLJAoJXhhN0nAz7YTsh8zPSHbgeZW8gcd Fqt6OJ8+uw/mPoL3hJXoMHZfXnjN/Dmc6rAVpfxJhyZlGadnERnglDY9aq5O h10Wz32fVGXCpd5fxKg+HWpz3lMrD+SAomSiWIsJHaiiHeYTri+AevyDa7Ml HcQ44lKuPX0JCnQf4Y3n6FB0hGAN8VNAy1nW19iVDsHhF84XGb0Bqn9uXaYH vs8tRJS5w3JBsriNi9+HDjyveDkb4S1US9+WS/Cjg2iAYD3H0juoBjV5xUA6 6FWMCtmL5oGOasK+yxF06NMeWPUrywP3lOEKlUQ6nGbaLQ3Y50MHrfHOtgw6 9PpnND1Zy4fSH/JSvO/w/sOdVU2ZVOjrX/XjL6fDvxriO+30C0DJyErFqZcO kVrnnD/EFsKypKPh3MZpIFTeet6QLIHCu1J8925OQ41jgx3VpQL6DW6plIdP Q0vdtdgr3JXwSF13x3LCNPy8o7w5OrMSNgeuaL1+Nw0z2c0yK9+qwNC2ffDN +DTI1Bk9GqJWQ31725C01QyY532L8NKqBdXis7yPj82Csf2ZRdXQJuCiuR6Y EmHAq8HNqawBGmz/kzPitxwDGo6qi4T+0QUBG8uu8asx4LmAYYySaheoBGe5 6NgwoM8zhqc/rgvsZU61VScwoAr1mJ4x6AaL9EkzctM8DPuykUhVD/B4ad/d uTYPScdcZZjl/bCVdZBPkJcJfRbp9kmz/cApejrgyRYmzLSE21iID4DwE0d+ ijgT0i4yBDcHDgAxxHj3Xp0Jv88VDcbpDMIFnkeWdjeYIHaMyzuzcwiKHNWS KLNMSLl9xXT81wi8v9XNG0QyYWCMuslH+Qton29cZ7HMhM+OO5J3uH0Bm9x5 zQk+FrAHpHelDHyBlzzR23rkWXB1zm9rVOlXaHK0flV8iQViGS/vL1WOQsrz lv2MYRbkP/hXJTRiDB5y205Z5S2AlM/JLLb8JHhePmLHLlqAPg3xIkP9SbA9 9F3xfvkCsBTkC5+fn4QUhbLXTxqwP1bRmzVPnQST4t0mZ4cXYPvx9HPFPFPg vZhi/Xo9G8oPB5x/+X0K/r6zyTl7KxuUiYyrlzgJUKPShxJ2ssEhM7leajd+ b/0qCTGTZMMzIVWdx2f/+/+Ew4EjiA3aDVxGbjQCIlbGeXN8sB+ppIwYVNGh RmBdar8fG3h63HTaP9PhG5APlwPY0DtrWXPqFx24Ym1PiUexYaP/LFNNdRqu SlT4FmdiP3LGJQxeT4NWjtOgYgf2YyGbd2onzMB5W4WKGz3YH05uVDLIm4FE c2nJgkE2rF3PWdRpmwHG1uDNS9/ZsGWTiK8oL/6uXe3Y2vqTDXsV/MW1b82C xL1cf1sxEpqHnCsOOM5B8ED3bvG9JHjTWv4u9J+DnWvjqp+kSLCPjtOXfTIH AaVXxSYPktBSMhrR93kOJiwDX2/TIsEoc9u81hkG1IvpUKR0SciTyKJI32DA yO7q6b0GJERmWrn/m8SAAquZhF4zEkgJ15OW3QwwzFj0lnLEzydD+rzJPISY 3LIJOE+CcrntU2GPeShf3WINLiQ8ZW3Wkr83D/XpJ1cW3UmQcG7IWanD62bo PMuThCSxtWgYm4fRg+uMaN4kXNDQVzzMgfvOKlrk5HUS9MOfeeXhPj4/SJYN +5GAOCJHbBWZcFzjmoXtbZx/oP4X8jgTEnyTuv8IIkFvT2zJqg0TVFSX/I6G kBDa4bHb8yITCG2OSNNQEmRN24+1+uI+L7Q/cyiSxPfs0mO7eCakPuvpWbxH QkFx77WoZ0wI2imj/CqKhMw1O7E3b5lgr6JtrBmD8zfXtSkrZ8LgqBpnaSwJ f0/snyttZoKLgIGy0AMSjDd5Zb/oZ4LQeOsHh3gSFjbe1Lk7wYRRf72bkQ9J OOYS+MCUzQTZl0amqQk43u03Fus5WRByv2pXTCLO9/Rnk7wtLHj5NrfwYhIJ PeNNJ/XFWMDHbbBOKpmEh8Gb1rfIseD0/pmJRsxnu8Ws1I+yoDZSSM0shYS6 N6aMNF0W2LbeGinDrD3R83TCggWSE+PUjam4XqhaTuIcC/TcLNP+wmytvmal c4UFnLQp79OY/RYcxqxvsuBj+YKwJeYMVliaZTiOf3TaVxlz4JZVTY0EFjjx ejmTeH9bTflEgecs+IttXJuOmd/V2KkrlwWzbtf9JDGHNQdcDPiA5z5e6EI8 zlc8keou2IB9abWvyzd8PvM9jUopXSxIf8Nw2IFZSyf0DvdXFmh4CSrLYz2K aTECZ2dYYD2WBfuwXkoeFwrSf7IgayFoZgXrm6njJFXPvQARHNXJ5Vj/qZky +cGtCyCnmZFlF0eCpHBYeJ/oAoxsfEiO4Po1ur9ZqpBZAOq5A1e0o0lQO/TD JPrwAvwfLntCeg== "]]}}}, { Axes -> True, AxesOrigin -> {0, 0}, PlotRange -> {{-1.3993047631275015`, 1.344825405763601}, {-1.372545570224193, 1.3163616295035836`}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}}], Attributes[PlotRange] = {ReadProtected}, $CellContext`z = 0, $CellContext`cen = {0., 0}, $CellContext`tangentPt = { 4.898587196589413*^-17, -0.8}, $CellContext`tangentPtOrig = { 0, -0.8}}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", ShowCellBracket->True, CellChangeTimes->{3.464282004204473*^9, 3.4643826199892073`*^9}, CellTags->"Section3"] }, Closed]], Cell["More general wheels: LOTS of computation here!", "Text", ShowCellBracket->True, CellChangeTimes->{{3.464281960522646*^9, 3.4642819683287363`*^9}}] }, Closed]], Cell[CellGroupData[{ Cell["Bike Tracks", "Subsubsection", ShowCellBracket->True, CellChangeTimes->{{3.4642819538330517`*^9, 3.4642819552329893`*^9}}], Cell[BoxData[ RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ "xmin", ",", " ", "xrange", ",", " ", "ymin", ",", " ", "yrange", ",", " ", "locQ", ",", "p", ",", " ", "tanQ", ",", " ", "tantt", ",", "met"}], "}"}], ",", RowBox[{"Manipulate", "[", " ", RowBox[{ RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ "ranPts", ",", "t", ",", "backTrack", ",", " ", "frontTrack"}], "}"}], ",", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{ RowBox[{"backTrack", "=", RowBox[{"Which", "[", RowBox[{ RowBox[{"met", "===", "\"\\""}], ",", RowBox[{ RowBox[{"BezierFunction", "[", RowBox[{"p", ",", " ", RowBox[{"SplineDegree", "\[Rule]", RowBox[{ RowBox[{"Length", "[", "p", "]"}], "-", "1"}]}]}], "]"}], "[", "t", "]"}], ",", " ", RowBox[{"met", "===", "\"\\""}], ",", RowBox[{ RowBox[{"Interpolation", "[", RowBox[{ RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"Range", "[", RowBox[{"0", ",", "1", ",", RowBox[{"1", "/", RowBox[{"(", RowBox[{ RowBox[{"Length", "[", "p", "]"}], "-", "1"}], ")"}]}]}], "]"}], ",", "p"}], "}"}], "]"}], ",", " ", RowBox[{"Method", "\[Rule]", "\"\\""}]}], "]"}], "[", "t", "]"}]}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{"frontTrack", "=", RowBox[{"backTrack", "+", RowBox[{"randir", " ", FractionBox[ RowBox[{ SubscriptBox["\[PartialD]", "t"], "backTrack"}], RowBox[{"Norm", "[", RowBox[{ SubscriptBox["\[PartialD]", "t"], "backTrack"}], "]"}]]}]}]}], ";", "\[IndentingNewLine]", RowBox[{"Show", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"ParametricPlot", "[", RowBox[{ RowBox[{"Evaluate", "[", RowBox[{"{", RowBox[{"frontTrack", ",", " ", "backTrack"}], "}"}], "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0.01", ",", "1"}], "}"}], ",", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"Thick", ",", "Red"}], "}"}], ",", RowBox[{"{", RowBox[{"Thick", ",", "Blue"}], "}"}]}], "}"}]}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Graphics", "[", RowBox[{"{", "\[IndentingNewLine]", RowBox[{ RowBox[{"If", "[", RowBox[{"locQ", ",", RowBox[{"{", RowBox[{ RowBox[{"EdgeForm", "[", RowBox[{"Thickness", "[", "0.0025", "]"}], "]"}], ",", RowBox[{"FaceForm", "[", "LightYellow", "]"}], ",", " ", RowBox[{ RowBox[{ RowBox[{"Disk", "[", RowBox[{"#", ",", "0.13"}], "]"}], "&"}], " ", "/@", " ", "p"}], ",", " ", RowBox[{"MapIndexed", "[", RowBox[{ RowBox[{ RowBox[{"Text", "[", RowBox[{ RowBox[{"Style", "[", RowBox[{ RowBox[{ "#2", "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], ",", " ", "9"}], "]"}], ",", "#"}], "]"}], "&"}], ",", "p"}], "]"}]}], "}"}], ",", " ", RowBox[{"{", "}"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"If", "[", RowBox[{"tanQ", ",", " ", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Thickness", "[", "0.008", "]"}], ",", RowBox[{"PointSize", "[", "0.02", "]"}], ",", RowBox[{"Point", "[", "backTrack", "]"}], ",", " ", RowBox[{"Arrow", "[", RowBox[{"{", RowBox[{"backTrack", ",", " ", "frontTrack"}], "}"}], "]"}]}], "}"}], "/.", " ", RowBox[{"t", "\[Rule]", " ", RowBox[{"If", "[", RowBox[{ RowBox[{"randir", "\[Equal]", "1"}], ",", "tantt", ",", RowBox[{"1", "-", "tantt"}]}], "]"}]}]}], ",", RowBox[{"{", "}"}]}], "]"}]}], "}"}], "]"}], ",", " ", "\[IndentingNewLine]", RowBox[{"Frame", "\[Rule]", "True"}], ",", " ", RowBox[{"FrameTicks", "\[Rule]", "False"}], ",", RowBox[{"ImagePadding", "\[Rule]", "1"}], ",", RowBox[{"Axes", "\[Rule]", "False"}], ",", "\[IndentingNewLine]", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"xmin", ",", " ", RowBox[{"xmin", "+", "xrange"}]}], "}"}], ",", RowBox[{"{", RowBox[{"ymin", ",", " ", RowBox[{"ymin", "+", "yrange"}]}], "}"}]}], "}"}]}], ",", RowBox[{"ImageSize", "\[Rule]", "300"}]}], "]"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"p", ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", " ", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"0.6", ",", " ", "1.2"}], "}"}], ",", RowBox[{"{", RowBox[{"1.2", ",", "1.8"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"3", ",", " ", ".5"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"4", ",", ".4"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"4.5", ",", " ", ".42"}], "}"}], ",", " ", RowBox[{"{", RowBox[{"5.5", ",", " ", "2"}], "}"}]}], "}"}]}], " ", "}"}], ",", " ", "Locator", ",", " ", RowBox[{"LocatorAutoCreate", "\[Rule]", "True"}], ",", " ", RowBox[{"Appearance", "\[Rule]", "None"}]}], "}"}], ",", " ", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"randir", ",", "1"}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", " ", "None"}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "locQ", ",", " ", "False", ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"{", RowBox[{"True", ",", " ", "False"}], "}"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "met", ",", "\"\\"", ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"{", RowBox[{"\"\\"", ",", " ", "\"\\""}], "}"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"xmin", ",", "1.06", ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"-", "3"}], ",", "3", ",", " ", RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"xrange", ",", "3.9", ",", " ", "\"\\""}], "}"}], ",", " ", "1", ",", " ", "10", ",", " ", RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"ymin", ",", "0.28", ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"-", "3"}], ",", "3", ",", " ", RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"yrange", ",", "1.64", ",", " ", "\"\\""}], "}"}], ",", " ", "1", ",", " ", "10", ",", " ", RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "}"}], ",", " ", "\[IndentingNewLine]", RowBox[{"Row", "[", RowBox[{"{", RowBox[{ RowBox[{"Spacer", "[", "58", "]"}], ",", RowBox[{"Button", "[", RowBox[{"\"\\"", ",", RowBox[{"p", "=", RowBox[{"Sort", "[", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"i", ",", RowBox[{"RandomReal", "[", RowBox[{"met", "/.", RowBox[{"{", RowBox[{ RowBox[{"\"\\"", "->", RowBox[{"{", RowBox[{ RowBox[{"-", "0"}], ",", "3."}], "}"}]}], ",", " ", RowBox[{"\"\\"", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"+", ".6"}], ",", " ", "1.5"}], "}"}]}]}], "}"}]}], "]"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"i", ",", "0", ",", " ", "6", ",", " ", FractionBox["6", "9"]}], "}"}]}], "]"}], "]"}]}], ",", " ", RowBox[{"ImageSize", "\[Rule]", "Medium"}], ",", " ", RowBox[{"BaseStyle", "\[Rule]", "10"}]}], "]"}], ",", RowBox[{"Spacer", "[", "10", "]"}], ",", "\[IndentingNewLine]", RowBox[{"Button", "[", RowBox[{"\"\\"", ",", RowBox[{"randir", "=", RowBox[{"Sign", "[", RowBox[{"RandomReal", "[", RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "1"}], "}"}], "]"}], "]"}]}], ",", " ", RowBox[{"ImageSize", "\[Rule]", "Medium"}], ",", " ", RowBox[{"BaseStyle", "\[Rule]", "10"}]}], "]"}]}], "}"}], "]"}], ",", "\[IndentingNewLine]", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"tanQ", ",", "False", ",", "\"\\""}], "}"}], ",", " ", RowBox[{"{", RowBox[{"True", ",", " ", "False"}], "}"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "tantt", ",", "0.5", ",", "\"\\""}], "}"}], ",", "0.01", ",", "0.99", ",", " ", RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "}"}], ",", RowBox[{"TrackedSymbols", "\[Rule]", "Manipulate"}], ",", " ", RowBox[{"SaveDefinitions", "\[Rule]", "True"}]}], "]"}]}], "]"}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.446327015896875*^9, 3.446327303437297*^9}, { 3.446327369013582*^9, 3.446327521400565*^9}, {3.4463275518542356`*^9, 3.446327565103833*^9}, {3.446327618882298*^9, 3.446327690884506*^9}, { 3.4463277648595877`*^9, 3.446327775594719*^9}, {3.446327816669034*^9, 3.446327908823*^9}, {3.4463284156407537`*^9, 3.4463284299094143`*^9}, { 3.446335375852817*^9, 3.446335648527172*^9}, {3.446335683783053*^9, 3.4463358472596416`*^9}, {3.446335886771923*^9, 3.4463361986676493`*^9}, { 3.446336235236558*^9, 3.4463362558208237`*^9}, {3.4463362867896137`*^9, 3.4463362952260036`*^9}, {3.446336484943331*^9, 3.4463365498247337`*^9}, { 3.446336584484497*^9, 3.446336585418364*^9}, {3.4463366441409492`*^9, 3.446336647530058*^9}, {3.4463746560127563`*^9, 3.446374778267311*^9}, { 3.446374817451326*^9, 3.446374978727653*^9}, 3.446375018052302*^9, { 3.446375055420959*^9, 3.4463750785038757`*^9}, {3.4463751114845657`*^9, 3.446375159821074*^9}, {3.4463752000313063`*^9, 3.446375302268821*^9}, { 3.44637578326768*^9, 3.446376040086028*^9}, {3.446376090677026*^9, 3.4463760941365232`*^9}, {3.446376150701831*^9, 3.446376152457357*^9}, { 3.446376201789008*^9, 3.4463762714279623`*^9}, {3.446376591825137*^9, 3.446376608333831*^9}, {3.446376646582303*^9, 3.446376712202777*^9}, { 3.446376785894526*^9, 3.4463768132751904`*^9}, {3.446386077824605*^9, 3.44638622049052*^9}, {3.4463862620342083`*^9, 3.4463862784394207`*^9}, { 3.44639755707617*^9, 3.44639757947507*^9}, {3.4463976172723913`*^9, 3.446397618093429*^9}, {3.4463976705426407`*^9, 3.446397681882441*^9}, { 3.4463991162623577`*^9, 3.446399117278112*^9}, {3.4463995337247353`*^9, 3.4463995470027103`*^9}, {3.446399583799539*^9, 3.4463996154710197`*^9}, { 3.44639966571766*^9, 3.446399741819556*^9}, {3.446399778466959*^9, 3.44639982707125*^9}, {3.44639986278339*^9, 3.4463998691856422`*^9}, { 3.446399953290175*^9, 3.44640016175747*^9}, {3.4464029670530853`*^9, 3.446402986399825*^9}, {3.446403020861896*^9, 3.446403083101859*^9}, { 3.446508175961864*^9, 3.446508187902732*^9}, {3.446508227221395*^9, 3.446508227846249*^9}, {3.446508361214571*^9, 3.44650856912711*^9}, { 3.446508600154245*^9, 3.446508800441877*^9}, {3.446508839331077*^9, 3.446509111859701*^9}, {3.446509147515226*^9, 3.446509242472155*^9}, { 3.446509276388796*^9, 3.446509289759842*^9}, {3.4465093250550013`*^9, 3.4465093484187527`*^9}, {3.446568455343987*^9, 3.446568470074929*^9}, { 3.446569756715206*^9, 3.4465697748375263`*^9}, {3.4466690854911013`*^9, 3.446669105919754*^9}, {3.446671447828662*^9, 3.4466714705936403`*^9}, { 3.446671577848653*^9, 3.446671697233242*^9}, {3.4466717601890507`*^9, 3.446671797184208*^9}, {3.446672269274973*^9, 3.446672331181098*^9}, { 3.44667242893671*^9, 3.446672480584063*^9}, {3.446672528922078*^9, 3.446672614720284*^9}, {3.4466727133131933`*^9, 3.446672732171283*^9}, 3.446672763790682*^9, {3.446711733810313*^9, 3.4467117781405077`*^9}, { 3.446711842647284*^9, 3.446711888261117*^9}, 3.446712111242516*^9, { 3.446712507250964*^9, 3.446712513784857*^9}, {3.446723276596426*^9, 3.4467233119786987`*^9}, {3.446723348059469*^9, 3.446723400288692*^9}, { 3.44672343200561*^9, 3.4467234570952053`*^9}, {3.4467239564180117`*^9, 3.446723957464917*^9}, {3.446724084347362*^9, 3.4467241803201237`*^9}, { 3.4467242130315866`*^9, 3.446724232270842*^9}, {3.446724695323987*^9, 3.446724788410613*^9}, {3.44672795568784*^9, 3.446728006149239*^9}, { 3.4467280663205147`*^9, 3.4467281503251467`*^9}, {3.4467400451487093`*^9, 3.446740158683721*^9}, {3.446740207556212*^9, 3.446740514281281*^9}, { 3.447072895402885*^9, 3.447072906292371*^9}, {3.447150138121295*^9, 3.447150224786804*^9}, {3.4471502570052843`*^9, 3.447150275580078*^9}, { 3.447150316474766*^9, 3.447150338000181*^9}, 3.4471503810985394`*^9, { 3.447150481293565*^9, 3.447150534493341*^9}, {3.4471505756892023`*^9, 3.4471506321209908`*^9}, {3.447150687196108*^9, 3.447150691247149*^9}, { 3.4471507308337193`*^9, 3.4471508687686243`*^9}, {3.4639985358754663`*^9, 3.4639985691804867`*^9}, {3.46399863738371*^9, 3.4639986632682447`*^9}, { 3.464011304022977*^9, 3.464011376216803*^9}, {3.4640114742374268`*^9, 3.464011557573642*^9}, {3.46401158995407*^9, 3.464011608267304*^9}, 3.464011665228196*^9, {3.4640117084924803`*^9, 3.464011708614358*^9}, { 3.464011753673881*^9, 3.464011820391348*^9}, {3.464011888604109*^9, 3.464011903490039*^9}, 3.464016663527185*^9, {3.464019475324641*^9, 3.464019478236507*^9}, {3.4640389582299557`*^9, 3.464038958658946*^9}}, CellTags->"Section2"], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`locQ$103545$$ = False, $CellContext`met$103545$$ = "Bezier", $CellContext`p$103545$$ = {{0, 1}, {0.6, 1.2}, {1.2, 1.8}, { 3, 0.5}, {4, 0.4}, {4.5, 0.42}, {5.5, 2}}, $CellContext`randir$$ = 1, $CellContext`tanQ$103545$$ = False, $CellContext`tantt$103545$$ = 0.5, $CellContext`xmin$103545$$ = 1.06, $CellContext`xrange$103545$$ = 3.9, $CellContext`ymin$103545$$ = 0.28, $CellContext`yrange$103545$$ = 1.64, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`p$103545$$], {{0, 1}, {0.6, 1.2}, {1.2, 1.8}, { 3, 0.5}, {4, 0.4}, {4.5, 0.42}, {5.5, 2}}}, Automatic}, {{ Hold[$CellContext`randir$$], 1}, {-1, 1}}, {{ Hold[$CellContext`locQ$103545$$], False, "show locators"}, { True, False}}, {{ Hold[$CellContext`met$103545$$], "Bezier", "curve drawing method"}, { "Bezier", "Spline"}}, {{ Hold[$CellContext`xmin$103545$$], 1.06, "xmin"}, -3, 3}, {{ Hold[$CellContext`xrange$103545$$], 3.9, "range of x"}, 1, 10}, {{ Hold[$CellContext`ymin$103545$$], 0.28, "ymin"}, -3, 3}, {{ Hold[$CellContext`yrange$103545$$], 1.64, "range of y"}, 1, 10}, { Hold[ Row[{ Spacer[58], Button["use random points", $CellContext`p$103545$$ = Sort[ Table[{$CellContext`i, RandomReal[ ReplaceAll[$CellContext`met$103545$$, { "Bezier" -> {0, 3.}, "Spline" -> { Plus[0.6], 1.5}}]]}, {$CellContext`i, 0, 6, 6/9}]], ImageSize -> Medium, BaseStyle -> 10], Spacer[10], Button["use random direction", $CellContext`randir$$ = Sign[ RandomReal[{-1, 1}]], ImageSize -> Medium, BaseStyle -> 10]}]], Manipulate`Dump`ThisIsNotAControl}, {{ Hold[$CellContext`tanQ$103545$$], False, "show the bicycle"}, { True, False}}, {{ Hold[$CellContext`tantt$103545$$], 0.5, "bicycle movement parameter"}, 0.01, 0.99}}, Typeset`size$$ = {300., {61., 66.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`randir$103547$$ = False, $CellContext`locQ$103545$103548$$ = False, $CellContext`met$103545$103549$$ = False, $CellContext`xmin$103545$103550$$ = 0, $CellContext`xrange$103545$103551$$ = 0, $CellContext`ymin$103545$103552$$ = 0, $CellContext`yrange$103545$103553$$ = 0, $CellContext`tanQ$103545$103554$$ = False, $CellContext`tantt$103545$103555$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`locQ$103545$$ = False, $CellContext`met$103545$$ = "Bezier", $CellContext`p$103545$$ = {{0, 1}, {0.6, 1.2}, {1.2, 1.8}, { 3, 0.5}, {4, 0.4}, {4.5, 0.42}, {5.5, 2}}, $CellContext`randir$$ = 1, $CellContext`tanQ$103545$$ = False, $CellContext`tantt$103545$$ = 0.5, $CellContext`xmin$103545$$ = 1.06, $CellContext`xrange$103545$$ = 3.9, $CellContext`ymin$103545$$ = 0.28, $CellContext`yrange$103545$$ = 1.64}, "ControllerVariables" :> { Hold[$CellContext`randir$$, $CellContext`randir$103547$$, False], Hold[$CellContext`locQ$103545$$, $CellContext`locQ$103545$103548$$, False], Hold[$CellContext`met$103545$$, $CellContext`met$103545$103549$$, False], Hold[$CellContext`xmin$103545$$, $CellContext`xmin$103545$103550$$, 0], Hold[$CellContext`xrange$103545$$, \ $CellContext`xrange$103545$103551$$, 0], Hold[$CellContext`ymin$103545$$, $CellContext`ymin$103545$103552$$, 0], Hold[$CellContext`yrange$103545$$, \ $CellContext`yrange$103545$103553$$, 0], Hold[$CellContext`tanQ$103545$$, $CellContext`tanQ$103545$103554$$, False], Hold[$CellContext`tantt$103545$$, $CellContext`tantt$103545$103555$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> Module[{$CellContext`ranPts$, $CellContext`t$, $CellContext`backTrack$, \ $CellContext`frontTrack$}, $CellContext`backTrack$ = Which[$CellContext`met$103545$$ === "Bezier", BezierFunction[$CellContext`p$103545$$, SplineDegree -> Length[$CellContext`p$103545$$] - 1][$CellContext`t$], $CellContext`met$103545$$ === "Spline", Interpolation[ Transpose[{ Range[ 0, 1, 1/(Length[$CellContext`p$103545$$] - 1)], $CellContext`p$103545$$}], Method -> "Spline"][$CellContext`t$]]; $CellContext`frontTrack$ = \ $CellContext`backTrack$ + $CellContext`randir$$ ( D[$CellContext`backTrack$, $CellContext`t$]/Norm[ D[$CellContext`backTrack$, $CellContext`t$]]); Show[ ParametricPlot[ Evaluate[{$CellContext`frontTrack$, $CellContext`backTrack$}], \ {$CellContext`t$, 0.01, 1}, PlotStyle -> {{Thick, Red}, {Thick, Blue}}, PlotRange -> All], Graphics[{ If[$CellContext`locQ$103545$$, { EdgeForm[ Thickness[0.0025]], FaceForm[LightYellow], Map[Disk[#, 0.13]& , $CellContext`p$103545$$], MapIndexed[Text[ Style[ Part[#2, 1], 9], #]& , $CellContext`p$103545$$]}, {}], If[$CellContext`tanQ$103545$$, ReplaceAll[{ Thickness[0.008], PointSize[0.02], Point[$CellContext`backTrack$], Arrow[{$CellContext`backTrack$, $CellContext`frontTrack$}]}, \ $CellContext`t$ -> If[$CellContext`randir$$ == 1, $CellContext`tantt$103545$$, 1 - $CellContext`tantt$103545$$]], {}]}], Frame -> True, FrameTicks -> False, ImagePadding -> 1, Axes -> False, PlotRange -> {{$CellContext`xmin$103545$$, \ $CellContext`xmin$103545$$ + $CellContext`xrange$103545$$}, \ {$CellContext`ymin$103545$$, $CellContext`ymin$103545$$ + \ $CellContext`yrange$103545$$}}, ImageSize -> 300]], "Specifications" :> {{{$CellContext`p$103545$$, {{0, 1}, {0.6, 1.2}, { 1.2, 1.8}, {3, 0.5}, {4, 0.4}, {4.5, 0.42}, {5.5, 2}}}, Automatic, ControlType -> Locator, LocatorAutoCreate -> True, Appearance -> None}, {{$CellContext`randir$$, 1}, {-1, 1}, ControlType -> None}, {{$CellContext`locQ$103545$$, False, "show locators"}, { True, False}}, {{$CellContext`met$103545$$, "Bezier", "curve drawing method"}, { "Bezier", "Spline"}}, {{$CellContext`xmin$103545$$, 1.06, "xmin"}, -3, 3, ImageSize -> Small}, {{$CellContext`xrange$103545$$, 3.9, "range of x"}, 1, 10, ImageSize -> Small}, {{$CellContext`ymin$103545$$, 0.28, "ymin"}, -3, 3, ImageSize -> Small}, {{$CellContext`yrange$103545$$, 1.64, "range of y"}, 1, 10, ImageSize -> Small}, Row[{ Spacer[58], Button["use random points", $CellContext`p$103545$$ = Sort[ Table[{$CellContext`i, RandomReal[ ReplaceAll[$CellContext`met$103545$$, { "Bezier" -> {0, 3.}, "Spline" -> { Plus[0.6], 1.5}}]]}, {$CellContext`i, 0, 6, 6/9}]], ImageSize -> Medium, BaseStyle -> 10], Spacer[10], Button["use random direction", $CellContext`randir$$ = Sign[ RandomReal[{-1, 1}]], ImageSize -> Medium, BaseStyle -> 10]}], {{$CellContext`tanQ$103545$$, False, "show the bicycle"}, { True, False}}, {{$CellContext`tantt$103545$$, 0.5, "bicycle movement parameter"}, 0.01, 0.99, ImageSize -> Small}}, "Options" :> {TrackedSymbols -> Manipulate}, "DefaultOptions" :> {ControlPlacement -> Top}], ImageSizeCache->{357., {208.6875, 219.3125}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({ Attributes[$CellContext`ranPts$] = {Temporary}, Attributes[$CellContext`t$] = {Temporary}, Attributes[$CellContext`backTrack$] = {Temporary}, Attributes[$CellContext`frontTrack$] = {Temporary}, Attributes[$CellContext`met$103545$$] = {Temporary}, Attributes[$CellContext`p$103545$$] = {Temporary}, Attributes[PlotRange] = {ReadProtected}, Attributes[$CellContext`locQ$103545$$] = {Temporary}, Attributes[$CellContext`tanQ$103545$$] = {Temporary}, Attributes[$CellContext`tantt$103545$$] = {Temporary}, Attributes[$CellContext`xmin$103545$$] = {Temporary}, Attributes[$CellContext`xrange$103545$$] = {Temporary}, Attributes[$CellContext`ymin$103545$$] = {Temporary}, Attributes[$CellContext`yrange$103545$$] = { Temporary}, $CellContext`i = {(1 + Sqrt[2])/(2 + Sqrt[2]), (2 + Sqrt[2])^(-1)}}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", ShowCellBracket->True, CellChangeTimes->{ 3.451376408109375*^9, {3.464038939595193*^9, 3.464038959510305*^9}, 3.464085349739491*^9}, CellTags->"Section2"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ "front", ",", " ", "front1", ",", " ", "frontDer", ",", "backSol", ",", "locQ", ",", "xmin", ",", "xrange", ",", " ", "ymin", ",", " ", "yrange", ",", "t", ",", " ", "b", ",", "p", ",", "met"}], "}"}], ",", " ", RowBox[{"Manipulate", "[", " ", RowBox[{ RowBox[{ RowBox[{"L", "=", "1"}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"front", "[", "t_", "]"}], " ", ":=", " ", RowBox[{"Evaluate", "[", RowBox[{"Which", "[", RowBox[{ RowBox[{"met", "===", "\"\\""}], ",", RowBox[{ RowBox[{"BezierFunction", "[", RowBox[{"p", ",", " ", RowBox[{"SplineDegree", "\[Rule]", RowBox[{ RowBox[{"Length", "[", "p", "]"}], "-", "1"}]}]}], "]"}], "[", "t", "]"}], ",", " ", RowBox[{"met", "===", "\"\\""}], ",", " ", RowBox[{ RowBox[{"Interpolation", "[", RowBox[{ RowBox[{"Transpose", "[", RowBox[{"{", RowBox[{ RowBox[{"Range", "[", RowBox[{"0", ",", "1", ",", RowBox[{"1", "/", RowBox[{"(", RowBox[{ RowBox[{"Length", "[", "p", "]"}], "-", "1"}], ")"}]}]}], "]"}], ",", "p"}], "}"}], "]"}], ",", " ", RowBox[{"Method", "\[Rule]", "\"\\""}]}], "]"}], "[", "t", "]"}]}], "]"}], "]"}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"front1", "[", RowBox[{"t_", "?", "NumericQ"}], "]"}], " ", ":=", " ", RowBox[{"front", "[", "t", "]"}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"frontDer", "[", RowBox[{"t_", "?", "NumericQ"}], "]"}], " ", ":=", " ", RowBox[{"Evaluate", "[", RowBox[{"D", "[", RowBox[{ RowBox[{"front", "[", "t", "]"}], ",", "t"}], "]"}], "]"}]}], ";", "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"backSol", "=", RowBox[{ RowBox[{"b", "[", "t", "]"}], "/.", "\[InvisibleSpace]", RowBox[{"First", "[", RowBox[{"NDSolve", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["b", "\[Prime]", MultilineFunction->None], "[", "t", "]"}], "\[Equal]", FractionBox[ RowBox[{ RowBox[{ RowBox[{"frontDer", "[", "t", "]"}], ".", RowBox[{"(", RowBox[{ RowBox[{"b", "[", "t", "]"}], "-", RowBox[{"front1", "[", "t", "]"}]}], ")"}]}], RowBox[{"(", RowBox[{ RowBox[{"b", "[", "t", "]"}], "-", RowBox[{"front1", "[", "t", "]"}]}], ")"}]}], SuperscriptBox["L", "2"]]}], ",", RowBox[{ RowBox[{"b", "[", "0", "]"}], "\[Equal]", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "1"}], ",", "0"}], "}"}], "+", RowBox[{"front1", "[", "0", "]"}]}]}]}], "}"}], ",", RowBox[{"b", "[", "t", "]"}], ",", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}]}], "]"}], "]"}]}]}], ";", "\[IndentingNewLine]", RowBox[{"Show", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{"ParametricPlot", "[", RowBox[{ RowBox[{"front", "[", "t", "]"}], ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Red", ",", " ", "Thick"}], "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"ParametricPlot", "[", RowBox[{"backSol", ",", " ", RowBox[{"{", RowBox[{"t", ",", "0", ",", "1"}], "}"}], ",", " ", RowBox[{"PlotStyle", "\[Rule]", RowBox[{"{", RowBox[{"Blue", ",", " ", "Thick"}], "}"}]}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Graphics", "[", RowBox[{"{", RowBox[{"If", "[", RowBox[{"locQ", ",", RowBox[{"{", RowBox[{ RowBox[{"EdgeForm", "[", RowBox[{"Thickness", "[", "0.0025", "]"}], "]"}], ",", RowBox[{"FaceForm", "[", "LightYellow", "]"}], ",", RowBox[{ RowBox[{ RowBox[{"Disk", "[", RowBox[{"#", ",", " ", "0.12"}], "]"}], "&"}], " ", "/@", " ", RowBox[{"(", "p", ")"}]}], ",", " ", RowBox[{"MapIndexed", "[", RowBox[{ RowBox[{ RowBox[{"Text", "[", RowBox[{ RowBox[{"Style", "[", RowBox[{ RowBox[{"#2", "[", RowBox[{"[", "1", "]"}], "]"}], ",", " ", "9"}], "]"}], ",", "#"}], "]"}], "&"}], ",", "p"}], "]"}]}], "}"}], ",", " ", RowBox[{"{", "}"}]}], "]"}], "}"}], "]"}], ",", " ", "\[IndentingNewLine]", RowBox[{"Frame", "\[Rule]", "True"}], ",", RowBox[{"FrameTicks", "\[Rule]", "None"}], ",", RowBox[{"PlotRange", "\[Rule]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"xmin", ",", " ", RowBox[{"xmin", "+", "xrange"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"ymin", ",", " ", RowBox[{"ymin", "+", "yrange"}]}], "}"}]}], "}"}]}], ",", RowBox[{"ImagePadding", "\[Rule]", RowBox[{"0", "+", "4"}]}], ",", " ", "\[IndentingNewLine]", RowBox[{"PlotRangePadding", "\[Rule]", RowBox[{"{", RowBox[{"0", ",", "0.3"}], "}"}]}], ",", RowBox[{"Axes", "\[Rule]", "False"}], ",", RowBox[{"ImageSize", "\[Rule]", "400"}]}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"p", ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"1", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"2.05", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"2.95", ",", "0.12"}], "}"}], ",", RowBox[{"{", RowBox[{"3.93", ",", "0.17"}], "}"}], ",", RowBox[{"{", RowBox[{"5.065", ",", "0.58"}], "}"}], ",", RowBox[{"{", RowBox[{"5.4", ",", "1.32"}], "}"}], ",", RowBox[{"{", RowBox[{"5.29", ",", "2.18"}], "}"}], ",", RowBox[{"{", RowBox[{"3.24", ",", "2.68"}], "}"}], ",", RowBox[{"{", RowBox[{"0.93", ",", "3.03"}], "}"}]}], "}"}]}], " ", "}"}], ",", " ", "Locator", ",", " ", RowBox[{"LocatorAutoCreate", "\[Rule]", "True"}], ",", " ", RowBox[{"Appearance", "\[Rule]", "None"}]}], "}"}], ",", " ", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"locQ", ",", " ", "True", ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"{", RowBox[{"True", ",", " ", "False"}], "}"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ "met", ",", "\"\\"", ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"{", RowBox[{"\"\\"", ",", " ", "\"\\""}], "}"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"xmin", ",", RowBox[{"-", "0.2"}], ",", " ", "\"\\""}], "}"}], ",", " ", RowBox[{"-", "3"}], ",", "3", ",", " ", RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"xrange", ",", "6", ",", "\"\\""}], "}"}], ",", " ", "1", ",", " ", "10", ",", " ", RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "}"}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"ymin", ",", "0", ",", "\"\\""}], "}"}], ",", " ", RowBox[{"-", "3"}], ",", "3", ",", " ", RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"yrange", ",", "3", ",", "\"\\""}], "}"}], ",", " ", "1", ",", " ", "10", ",", " ", RowBox[{"ImageSize", "\[Rule]", "Small"}]}], "}"}], ",", " ", "\[IndentingNewLine]", " ", RowBox[{"TrackedSymbols", "\[Rule]", "Manipulate"}], ",", " ", RowBox[{"SaveDefinitions", "\[Rule]", "True"}], ",", " ", RowBox[{"ControlPlacement", "\[Rule]", "Left"}]}], "]"}]}], "]"}]], "Input", ShowCellBracket->True, CellChangeTimes->CompressedData[" 1:eJwdzlkowwEAx/F/ayVLObKMyCZpyZko24PNWYyyHCNNOVfWGC+rOeaF2uRK xoSHZURbjgfaSikrlnKVB8ecGxpRxMSW/+//8O3z+uU0tIubaQRBcMhgxsbf pcT8LKzyvxI1pPnt7ECoOE6Khu7K31hoEBs5cJ9fx4U3pXXpcLt/hgffAz74 0CpjCiG9yiCCLQcltZBLK++BS71MHSVPPwzzPrur1aRbCxMSWGi0S6E8Jaoe TkZIG2EkL6wLhvYM9UIFfXoAaleLdNDFOB2FklTlFNQQ2SYo2stZgQ/Nt2Yo lbE3IEPgssFzg3gHfj9VU6pbsxwwyys/hkm1tgt4Ip+/hF921h1sMjkoBbpx N/XzE/MIvWVGD5wtPnyDg9dK1Rxp2phaA9kxZweHpOtxLsqK8rUzKBz2US4f Oa9gYsH9A8zM3Qw6Iu3cDQmGiVZGPJRt65NhW8VNuN3yLLT0NUTAkUVWgoeU ZdrPhk6VZRCGOZlaaAui+aBFR/ghoXEoXijZHfAf4wkhIA== "], CellTags->"Section2"], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`locQ$1047$$ = True, $CellContext`met$1047$$ = "Bezier", $CellContext`p$1047$$ = {{1, 0}, {2.05, 0}, {2.95, 0.12}, {3.93, 0.17}, {5.065, 0.58}, {5.4, 1.32}, {5.29, 2.18}, {3.24, 2.68}, {0.93, 3.03}}, $CellContext`xmin$1047$$ = -0.2, $CellContext`xrange$1047$$ = 6, $CellContext`ymin$1047$$ = 0, $CellContext`yrange$1047$$ = 3, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`p$1047$$], {{1, 0}, {2.05, 0}, {2.95, 0.12}, {3.93, 0.17}, {5.065, 0.58}, {5.4, 1.32}, {5.29, 2.18}, {3.24, 2.68}, {0.93, 3.03}}}, Automatic}, {{ Hold[$CellContext`locQ$1047$$], True, "show locators"}, { True, False}}, {{ Hold[$CellContext`met$1047$$], "Bezier", "curve drawing method"}, { "Bezier", "Spline"}}, {{ Hold[$CellContext`xmin$1047$$], -0.2, "xmin"}, -3, 3}, {{ Hold[$CellContext`xrange$1047$$], 6, "xrange"}, 1, 10}, {{ Hold[$CellContext`ymin$1047$$], 0, "ymin"}, -3, 3}, {{ Hold[$CellContext`yrange$1047$$], 3, "yrange"}, 1, 10}}, Typeset`size$$ = {400., {119., 124.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`locQ$1047$1049$$ = False, $CellContext`met$1047$1050$$ = False, $CellContext`xmin$1047$1051$$ = 0, $CellContext`xrange$1047$1052$$ = 0, $CellContext`ymin$1047$1053$$ = 0, $CellContext`yrange$1047$1054$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`locQ$1047$$ = True, $CellContext`met$1047$$ = "Bezier", $CellContext`p$1047$$ = {{1, 0}, {2.05, 0}, {2.95, 0.12}, { 3.93, 0.17}, {5.065, 0.58}, {5.4, 1.32}, {5.29, 2.18}, {3.24, 2.68}, {0.93, 3.03}}, $CellContext`xmin$1047$$ = -0.2, $CellContext`xrange$1047$$ = 6, $CellContext`ymin$1047$$ = 0, $CellContext`yrange$1047$$ = 3}, "ControllerVariables" :> { Hold[$CellContext`locQ$1047$$, $CellContext`locQ$1047$1049$$, False], Hold[$CellContext`met$1047$$, $CellContext`met$1047$1050$$, False], Hold[$CellContext`xmin$1047$$, $CellContext`xmin$1047$1051$$, 0], Hold[$CellContext`xrange$1047$$, $CellContext`xrange$1047$1052$$, 0], Hold[$CellContext`ymin$1047$$, $CellContext`ymin$1047$1053$$, 0], Hold[$CellContext`yrange$1047$$, $CellContext`yrange$1047$1054$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> ($CellContext`L = 1; $CellContext`front$1047[ Pattern[$CellContext`t$, Blank[]]] := Evaluate[ Which[$CellContext`met$1047$$ === "Bezier", BezierFunction[$CellContext`p$1047$$, SplineDegree -> Length[$CellContext`p$1047$$] - 1][$CellContext`t$], $CellContext`met$1047$$ === "Spline", Interpolation[ Transpose[{ Range[ 0, 1, 1/(Length[$CellContext`p$1047$$] - 1)], $CellContext`p$1047$$}], Method -> "Spline"][$CellContext`t$]]]; $CellContext`front1$1047[ PatternTest[ Pattern[$CellContext`t$, Blank[]], NumericQ]] := $CellContext`front$1047[$CellContext`t$]; \ $CellContext`frontDer$1047[ PatternTest[ Pattern[$CellContext`t$, Blank[]], NumericQ]] := Evaluate[ D[ $CellContext`front$1047[$CellContext`t$], $CellContext`t$]]; \ $CellContext`backSol$1047 = ReplaceAll[ $CellContext`b$1047[$CellContext`t$1047], First[ NDSolve[{ Derivative[1][$CellContext`b$1047][$CellContext`t$1047] == Dot[ $CellContext`frontDer$1047[$CellContext`t$1047], \ $CellContext`b$1047[$CellContext`t$1047] - \ $CellContext`front1$1047[$CellContext`t$1047]] \ (($CellContext`b$1047[$CellContext`t$1047] - \ $CellContext`front1$1047[$CellContext`t$1047])/$CellContext`L^2), \ $CellContext`b$1047[0] == {-1, 0} + $CellContext`front1$1047[0]}, $CellContext`b$1047[$CellContext`t$1047], {$CellContext`t$1047, 0, 1}]]]; Show[ ParametricPlot[ $CellContext`front$1047[$CellContext`t$1047], {$CellContext`t$1047, 0, 1}, PlotStyle -> {Red, Thick}], ParametricPlot[$CellContext`backSol$1047, {$CellContext`t$1047, 0, 1}, PlotStyle -> {Blue, Thick}], Graphics[{ If[$CellContext`locQ$1047$$, { EdgeForm[ Thickness[0.0025]], FaceForm[LightYellow], Map[Disk[#, 0.12]& , $CellContext`p$1047$$], MapIndexed[Text[ Style[ Part[#2, 1], 9], #]& , $CellContext`p$1047$$]}, {}]}], Frame -> True, FrameTicks -> None, PlotRange -> {{$CellContext`xmin$1047$$, $CellContext`xmin$1047$$ + \ $CellContext`xrange$1047$$}, {$CellContext`ymin$1047$$, \ $CellContext`ymin$1047$$ + $CellContext`yrange$1047$$}}, ImagePadding -> 0 + 4, PlotRangePadding -> {0, 0.3}, Axes -> False, ImageSize -> 400]), "Specifications" :> {{{$CellContext`p$1047$$, {{1, 0}, { 2.05, 0}, {2.95, 0.12}, {3.93, 0.17}, {5.065, 0.58}, {5.4, 1.32}, { 5.29, 2.18}, {3.24, 2.68}, {0.93, 3.03}}}, Automatic, ControlType -> Locator, LocatorAutoCreate -> True, Appearance -> None}, {{$CellContext`locQ$1047$$, True, "show locators"}, { True, False}}, {{$CellContext`met$1047$$, "Bezier", "curve drawing method"}, { "Bezier", "Spline"}}, {{$CellContext`xmin$1047$$, -0.2, "xmin"}, -3, 3, ImageSize -> Small}, {{$CellContext`xrange$1047$$, 6, "xrange"}, 1, 10, ImageSize -> Small}, {{$CellContext`ymin$1047$$, 0, "ymin"}, -3, 3, ImageSize -> Small}, {{$CellContext`yrange$1047$$, 3, "yrange"}, 1, 10, ImageSize -> Small}}, "Options" :> {TrackedSymbols -> Manipulate, ControlPlacement -> Left}, "DefaultOptions" :> {}], ImageSizeCache->{678., {156.6875, 167.3125}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({$CellContext`L = 1, Attributes[$CellContext`front$1047] = {Temporary}, Attributes[$CellContext`t$] = {Temporary}, Attributes[$CellContext`met$1047$$] = {Temporary}, Attributes[$CellContext`p$1047$$] = {Temporary}, Attributes[$CellContext`front1$1047] = {Temporary}, Attributes[$CellContext`frontDer$1047] = {Temporary}, Attributes[$CellContext`backSol$1047] = {Temporary}, Attributes[$CellContext`b$1047] = {Temporary}, Attributes[$CellContext`t$1047] = {Temporary}, Attributes[Derivative] = {NHoldAll, ReadProtected}, Attributes[$CellContext`locQ$1047$$] = {Temporary}, Attributes[PlotRange] = {ReadProtected}, Attributes[$CellContext`xmin$1047$$] = {Temporary}, Attributes[$CellContext`xrange$1047$$] = {Temporary}, Attributes[$CellContext`ymin$1047$$] = {Temporary}, Attributes[$CellContext`yrange$1047$$] = {Temporary}}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", ShowCellBracket->True, CellChangeTimes->{3.451376413578125*^9, 3.4513773683125*^9}, CellTags->"Section2"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell["Sharks-fish: a predator-prey model with satiation:", "Subsubsection", ShowCellBracket->True, CellChangeTimes->{{3.463078121206918*^9, 3.463078148710821*^9}, { 3.4630782554398937`*^9, 3.463078262782249*^9}, 3.463566762665009*^9, { 3.463566822764751*^9, 3.463566907963891*^9}, {3.4638468577155046`*^9, 3.463846858657291*^9}, {3.4638469440268927`*^9, 3.463846972160103*^9}, 3.463847222784162*^9, {3.464267852489499*^9, 3.464267854575754*^9}, { 3.4644667330365047`*^9, 3.464466748309332*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Module", "[", RowBox[{ RowBox[{"{", RowBox[{ "x", ",", "y", ",", " ", "a", ",", "b", ",", "c", ",", "d", ",", "e", ",", "f", ",", " ", "pr", ",", " ", "axes"}], "}"}], ",", RowBox[{"Manipulate", "[", "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"pr", "=", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"x0", ",", "x1"}], "}"}], ",", RowBox[{"{", RowBox[{"y0", ",", "y1"}], "}"}]}], "}"}], "=", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"-", "0.9"}], ",", " ", "0.3"}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"-", "0.5"}], ",", "0.5"}], "}"}]}], "}"}]}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"{", RowBox[{"a", ",", "b", ",", "c", ",", "d", ",", "f"}], "}"}], "=", RowBox[{"{", RowBox[{ RowBox[{"1", "/", "2"}], ",", " ", "1", ",", "1", ",", "1", ",", "1"}], "}"}]}], ";", "\[IndentingNewLine]", RowBox[{"axes", "=", RowBox[{"{", RowBox[{"Red", ",", RowBox[{"Thickness", "[", "0.015", "]"}], ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"x0", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"x1", ",", "0"}], "}"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"0", ",", "y0"}], "}"}], ",", RowBox[{"{", RowBox[{"0", ",", "y1"}], "}"}]}], "}"}]}], "}"}], "]"}]}], "}"}]}], ";", "\[IndentingNewLine]", RowBox[{ RowBox[{"ept", "[", "z_List", "]"}], " ", ":=", RowBox[{ RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"PointSize", "[", "0.12", "]"}], ",", RowBox[{"If", "[", RowBox[{ RowBox[{ RowBox[{"Re", "[", "#", "]"}], "<", "0"}], ",", "Red", ",", "Yellow"}], "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{ RowBox[{"Re", "[", "#", "]"}], ",", " ", RowBox[{"Im", "[", "#", "]"}]}], "}"}], "]"}]}], "}"}], "&"}], "/@", "z"}]}], ";", "\[IndentingNewLine]", RowBox[{"GraphicsRow", "[", RowBox[{ RowBox[{"{", " ", RowBox[{ RowBox[{"phasePlaneImage", "[", "e", "]"}], ",", "\[IndentingNewLine]", RowBox[{"GraphicsColumn", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Graphics", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Thickness", "[", "0.06", "]"}], ",", " ", RowBox[{"Circle", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"1", "/", "6"}], ",", "0"}], "}"}], ",", RowBox[{ SqrtBox["7"], "/", "6"}]}], " ", "]"}], ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"x0", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"x1", ",", "0"}], "}"}]}], "}"}], "]"}], ",", "axes", ",", RowBox[{"ept", "[", RowBox[{ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "a"}], "+", "b", "+", RowBox[{"2", " ", "c"}], "-", "d", "+", RowBox[{"d", " ", "e"}], "-", RowBox[{"4", " ", "e", " ", "f"}], "+", RowBox[{ RowBox[{"{", RowBox[{"1", ",", RowBox[{"-", "1"}]}], "}"}], SqrtBox[ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"2", " ", "a"}], "-", "b", "-", RowBox[{"2", " ", "c"}], "+", "d", "-", RowBox[{"d", " ", "e"}], "+", RowBox[{"4", " ", "e", " ", "f"}]}], ")"}], "2"], "-", RowBox[{"8", " ", RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"-", "2"}], " ", "a", " ", "c"}], "+", RowBox[{"b", " ", "c"}], "+", RowBox[{"a", " ", "d"}], "-", RowBox[{"a", " ", "d", " ", "e"}], "+", RowBox[{"4", " ", "a", " ", "e", " ", "f"}], "-", RowBox[{"2", " ", "b", " ", "e", " ", "f"}]}], ")"}]}]}]]}]}], ")"}], "/", "4."}], "]"}]}], "}"}], ",", RowBox[{"Frame", "\[Rule]", "True"}], ",", " ", RowBox[{"FrameTicks", "\[Rule]", "None"}], ",", " ", RowBox[{"Background", "\[Rule]", RowBox[{"Lighter", "[", "Purple", "]"}]}], ",", " ", RowBox[{"PlotRange", "\[Rule]", "pr"}], ",", RowBox[{"ImageSize", "\[Rule]", "100"}], ",", RowBox[{"Axes", "\[Rule]", "False"}]}], "]"}], ",", "\[IndentingNewLine]", RowBox[{"Graphics", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"Thickness", "[", "0.06", "]"}], ",", RowBox[{"Line", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"x0", ",", "0"}], "}"}], ",", RowBox[{"{", RowBox[{"x1", ",", "0"}], "}"}]}], "}"}], "]"}], ",", "axes", ",", "\[IndentingNewLine]", RowBox[{"ept", "[", RowBox[{"{", RowBox[{ RowBox[{"-", "c"}], ",", FractionBox[ RowBox[{ RowBox[{"b", " ", "c"}], "-", RowBox[{"a", " ", RowBox[{"(", RowBox[{"c", "+", RowBox[{"e", " ", "f"}]}], ")"}]}]}], RowBox[{"c", "+", RowBox[{"e", " ", "f"}]}]]}], "}"}], "]"}]}], "}"}], ",", " ", RowBox[{"PlotRange", "\[Rule]", "pr"}], ",", RowBox[{"ImageSize", "\[Rule]", "100"}], ",", " ", RowBox[{"Frame", "\[Rule]", "True"}], ",", RowBox[{"FrameTicks", "\[Rule]", "None"}], ",", RowBox[{"Axes", "\[Rule]", "False"}], ",", RowBox[{"Background", "\[Rule]", RowBox[{"Lighter", "[", "Orange", "]"}]}]}], "]"}]}], "}"}], ",", "\[IndentingNewLine]", " ", RowBox[{"Spacings", "\[Rule]", " ", "20"}]}], "]"}]}], "}"}], ",", " ", RowBox[{"Spacings", "\[Rule]", RowBox[{"-", "100"}]}]}], "]"}]}], ",", "\[IndentingNewLine]", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{"e", ",", "1.2", ",", "\"\\""}], "}"}], ",", "1.2", ",", "0.125", ",", " ", RowBox[{"-", "0.025"}], ",", " ", RowBox[{"Appearance", "\[Rule]", "\"\\""}]}], "}"}], ",", " ", RowBox[{"TrackedSymbols", "\[Rule]", RowBox[{"{", "e", "}"}]}], ",", RowBox[{"ControlPlacement", "\[Rule]", "Top"}], ",", " ", RowBox[{"SaveDefinitions", "\[Rule]", "True"}]}], "]"}]}], "]"}], " "}]], "Input", ShowCellBracket->True, CellChangeTimes->{{3.447449291394883*^9, 3.44744930629832*^9}, { 3.447449507948339*^9, 3.447449508586515*^9}, {3.447449582357321*^9, 3.447449593193717*^9}, {3.44744964293346*^9, 3.447449647213026*^9}, { 3.447449747919231*^9, 3.4474497588691196`*^9}, {3.4475172092868643`*^9, 3.4475173065831747`*^9}, {3.447517350537918*^9, 3.4475173518152847`*^9}, { 3.447517956567934*^9, 3.447517958240058*^9}, {3.447517999345832*^9, 3.4475180564383783`*^9}, {3.447518100621655*^9, 3.447518105145462*^9}, { 3.447590349874008*^9, 3.447590376607155*^9}, {3.447590415386454*^9, 3.447590435401813*^9}, {3.447590495979677*^9, 3.447590577228931*^9}, { 3.44759077319035*^9, 3.447590852097912*^9}, {3.4475950957598267`*^9, 3.447595247203689*^9}, {3.44759530716884*^9, 3.4475953240475616`*^9}, { 3.447595383780037*^9, 3.4475954389413433`*^9}, {3.447600739034157*^9, 3.447600878594245*^9}, 3.447601245708434*^9, {3.447601291909972*^9, 3.4476013945813227`*^9}, {3.447601545097851*^9, 3.447601546804047*^9}, { 3.447601911673584*^9, 3.44760192779762*^9}, {3.447601965367548*^9, 3.447601973780179*^9}, {3.447678153333315*^9, 3.447678182960371*^9}, { 3.447690117088125*^9, 3.447690126001069*^9}, {3.4476902132127438`*^9, 3.447690327962654*^9}, {3.447690699241509*^9, 3.4476907017283688`*^9}, { 3.447690950846201*^9, 3.447690968647744*^9}, {3.447691674774048*^9, 3.447691692446162*^9}, {3.447691902482874*^9, 3.4476919122085648`*^9}, { 3.447691974819578*^9, 3.4476919753090677`*^9}, {3.447692012059586*^9, 3.4476920168492413`*^9}, {3.44769204770813*^9, 3.447692165784758*^9}, { 3.447692197087496*^9, 3.447692197320056*^9}, {3.4478461679203463`*^9, 3.447846208147575*^9}, {3.447846363671525*^9, 3.4478464465897837`*^9}, 3.44784647869829*^9, 3.447846511590448*^9, {3.44784655303214*^9, 3.4478465961368093`*^9}, {3.447846668877553*^9, 3.4478466755599546`*^9}, { 3.4478467127032967`*^9, 3.447846805998385*^9}, {3.447846838452907*^9, 3.4478469959017467`*^9}, {3.447847193180131*^9, 3.4478472053713818`*^9}, { 3.447847256751018*^9, 3.447847259171856*^9}, {3.447847322104568*^9, 3.447847323587708*^9}, {3.4478473698780823`*^9, 3.447847372891787*^9}, { 3.447847426540394*^9, 3.4478474290090218`*^9}, {3.447847485113855*^9, 3.447847505343038*^9}, {3.447847564826455*^9, 3.447847684213627*^9}, { 3.447847953904642*^9, 3.447847957565968*^9}, {3.447848016670287*^9, 3.447848101677764*^9}, {3.4478481571862707`*^9, 3.4478481590647993`*^9}, { 3.447848430734757*^9, 3.447848451793725*^9}, {3.4478575756842813`*^9, 3.44785770036799*^9}, {3.4478577327210627`*^9, 3.447857746333398*^9}, { 3.447857811066387*^9, 3.4478578215104*^9}, {3.447857902522888*^9, 3.4478579066089487`*^9}, {3.447858137217472*^9, 3.44785816980175*^9}, { 3.4478582665673847`*^9, 3.447858483761364*^9}, {3.4478587100266333`*^9, 3.447858717090982*^9}, {3.4478591491588783`*^9, 3.4478591673919277`*^9}, { 3.447859206976926*^9, 3.4478592105212803`*^9}, 3.4478593096353827`*^9, { 3.4479543232664413`*^9, 3.447954343897079*^9}, {3.447954718307311*^9, 3.4479547242591333`*^9}, {3.4480197446251993`*^9, 3.448019877415947*^9}, { 3.448019924930119*^9, 3.448019961711515*^9}, {3.448035233043989*^9, 3.448035268721908*^9}, {3.448035325355152*^9, 3.4480353433742456`*^9}, { 3.448035417362529*^9, 3.448035419605057*^9}, {3.448035483898533*^9, 3.448035486703233*^9}, {3.4480359539104137`*^9, 3.448035954151081*^9}, { 3.448036007613187*^9, 3.448036040979845*^9}, {3.448046374579463*^9, 3.4480463890565*^9}, 3.448046447481167*^9, 3.448046483132042*^9, { 3.44804651603616*^9, 3.448046520000285*^9}, {3.4480470508457613`*^9, 3.448047054276971*^9}, {3.448106017588893*^9, 3.448106022276101*^9}, { 3.44810627951376*^9, 3.44810627999854*^9}, {3.4482053571255817`*^9, 3.448205364265922*^9}, {3.448205546868362*^9, 3.448205547555667*^9}, 3.4482056084208593`*^9, {3.448205670961905*^9, 3.448205677448421*^9}, { 3.448206047224716*^9, 3.448206102002977*^9}, {3.4482070127410517`*^9, 3.448207075782391*^9}, {3.448207135216501*^9, 3.448207142598127*^9}, { 3.4482075010199413`*^9, 3.448207503667178*^9}, {3.448207677083084*^9, 3.4482077395011387`*^9}, {3.44823678429033*^9, 3.448236852875458*^9}, { 3.448237133393663*^9, 3.448237150212679*^9}, {3.448237276058577*^9, 3.448237283252243*^9}, {3.448295558512754*^9, 3.448295645809949*^9}, { 3.448295691619191*^9, 3.448295807427875*^9}, {3.448295841602971*^9, 3.448295851422619*^9}, {3.448295888747819*^9, 3.448295895712907*^9}, { 3.448297631426691*^9, 3.448297663648258*^9}, {3.448297936617367*^9, 3.448297946951189*^9}, 3.4483075088955727`*^9, {3.448307705409363*^9, 3.4483077679358463`*^9}, {3.448307802774046*^9, 3.448307940253819*^9}, { 3.4483079948666553`*^9, 3.44830799637922*^9}, {3.448308027696175*^9, 3.448308069804468*^9}, 3.4483083058187733`*^9, {3.448308369388919*^9, 3.4483084177984877`*^9}, 3.448308453310638*^9, {3.448308484041609*^9, 3.448308536775406*^9}, {3.448323264030156*^9, 3.448323277163436*^9}, { 3.448323334766961*^9, 3.448323421030431*^9}, {3.448358336231789*^9, 3.448358336570004*^9}, {3.44835856565187*^9, 3.4483585666025677`*^9}, { 3.448358618548428*^9, 3.448358622026648*^9}, {3.448358669844811*^9, 3.44835875664098*^9}, {3.448358792022379*^9, 3.448358878936385*^9}}, AnimationDisplayTime->0.0833333, AnimationCycleOffset->23, AnimationCycleRepetitions->Infinity, CellTags->"Section4"], Cell[BoxData[ TagBox[ StyleBox[ DynamicModuleBox[{$CellContext`e$2962$$ = 1.175, Typeset`show$$ = True, Typeset`bookmarkList$$ = {}, Typeset`bookmarkMode$$ = "Menu", Typeset`animator$$, Typeset`animvar$$ = 1, Typeset`name$$ = "\"untitled\"", Typeset`specs$$ = {{{ Hold[$CellContext`e$2962$$], 1.2, "satiation parameter e"}, 1.2, 0.125, -0.025}}, Typeset`size$$ = {512., {119., 123.}}, Typeset`update$$ = 0, Typeset`initDone$$, Typeset`skipInitDone$$ = False, $CellContext`e$2962$2964$$ = 0}, DynamicBox[Manipulate`ManipulateBoxes[ 1, StandardForm, "Variables" :> {$CellContext`e$2962$$ = 1.2}, "ControllerVariables" :> { Hold[$CellContext`e$2962$$, $CellContext`e$2962$2964$$, 0]}, "OtherVariables" :> { Typeset`show$$, Typeset`bookmarkList$$, Typeset`bookmarkMode$$, Typeset`animator$$, Typeset`animvar$$, Typeset`name$$, Typeset`specs$$, Typeset`size$$, Typeset`update$$, Typeset`initDone$$, Typeset`skipInitDone$$}, "Body" :> ($CellContext`pr$2962 = ({{$CellContext`x0, $CellContext`x1}, \ {$CellContext`y0, $CellContext`y1}} = {{-0.9, 0.3}, {-0.5, 0.5}}); {$CellContext`a$2962, $CellContext`b$2962, \ $CellContext`c$2962, $CellContext`d$2962, $CellContext`f$2962} = { 1/2, 1, 1, 1, 1}; $CellContext`axes$2962 = {Red, Thickness[0.015], Line[{{{$CellContext`x0, 0}, {$CellContext`x1, 0}}, {{ 0, $CellContext`y0}, {0, $CellContext`y1}}}]}; $CellContext`ept[ Pattern[$CellContext`z, Blank[List]]] := Map[{ PointSize[0.12], If[Re[#] < 0, Red, Yellow], Point[{ Re[#], Im[#]}]}& , $CellContext`z]; GraphicsRow[{ $CellContext`phasePlaneImage[$CellContext`e$2962$$], GraphicsColumn[{ Graphics[{ Thickness[0.06], Circle[{1/6, 0}, 7^Rational[1, 2]/6], Line[{{$CellContext`x0, 0}, {$CellContext`x1, 0}}], $CellContext`axes$2962, $CellContext`ept[((-2) $CellContext`a$2962 + \ $CellContext`b$2962 + 2 $CellContext`c$2962 - $CellContext`d$2962 + \ $CellContext`d$2962 $CellContext`e$2962$$ - ( 4 $CellContext`e$2962$$) $CellContext`f$2962 + { 1, -1} ((2 $CellContext`a$2962 - $CellContext`b$2962 - 2 $CellContext`c$2962 + $CellContext`d$2962 - \ $CellContext`d$2962 $CellContext`e$2962$$ + ( 4 $CellContext`e$2962$$) $CellContext`f$2962)^2 - 8 (((-2) $CellContext`a$2962) $CellContext`c$2962 + \ $CellContext`b$2962 $CellContext`c$2962 + $CellContext`a$2962 \ $CellContext`d$2962 - ($CellContext`a$2962 $CellContext`d$2962) \ $CellContext`e$2962$$ + (( 4 $CellContext`a$2962) $CellContext`e$2962$$) \ $CellContext`f$2962 - (( 2 $CellContext`b$2962) $CellContext`e$2962$$) \ $CellContext`f$2962))^Rational[1, 2])/4.]}, Frame -> True, FrameTicks -> None, Background -> Lighter[Purple], PlotRange -> $CellContext`pr$2962, ImageSize -> 100, Axes -> False], Graphics[{ Thickness[0.06], Line[{{$CellContext`x0, 0}, {$CellContext`x1, 0}}], $CellContext`axes$2962, $CellContext`ept[{-$CellContext`c$2962, ($CellContext`b$2962 \ $CellContext`c$2962 - $CellContext`a$2962 ($CellContext`c$2962 + \ $CellContext`e$2962$$ $CellContext`f$2962))/($CellContext`c$2962 + \ $CellContext`e$2962$$ $CellContext`f$2962)}]}, PlotRange -> $CellContext`pr$2962, ImageSize -> 100, Frame -> True, FrameTicks -> None, Axes -> False, Background -> Lighter[Orange]]}, Spacings -> 20]}, Spacings -> -100]), "Specifications" :> {{{$CellContext`e$2962$$, 1.2, "satiation parameter e"}, 1.2, 0.125, -0.025, Appearance -> "Labeled"}}, "Options" :> { TrackedSymbols -> {$CellContext`e$2962$$}, ControlPlacement -> Top}, "DefaultOptions" :> {ControlPlacement -> Top}], ImageSizeCache->{563., {172.6875, 183.3125}}, SingleEvaluation->True], Deinitialization:>None, DynamicModuleValues:>{}, Initialization:>({ Attributes[$CellContext`pr$2962] = { Temporary}, $CellContext`x0 = -0.9, $CellContext`x1 = 0.3, $CellContext`y0 = -0.5, $CellContext`y1 = 0.5, Attributes[$CellContext`a$2962] = {Temporary}, Attributes[$CellContext`b$2962] = {Temporary}, Attributes[$CellContext`c$2962] = {Temporary}, Attributes[$CellContext`d$2962] = {Temporary}, Attributes[$CellContext`f$2962] = {Temporary}, Attributes[$CellContext`axes$2962] = {Temporary}, $CellContext`ept[ Pattern[$CellContext`z, Blank[List]]] := Map[{ PointSize[0.12], If[Re[#] < 0, Red, Yellow], Point[{ Re[#], Im[#]}]}& , $CellContext`z], $CellContext`z = 0, $CellContext`phasePlaneImage[0.125] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVde2h7EERU1sMYkNJWDHEntf9oJIUCPWRGNFY8OCGo29a1TAIFGj xkosiGLDdhQVFRFpigJKE6Q3Abu8vDHON/cdO+8NniM3791xX/464xtzz332 b+291ppzNYsx0weOL25iYjK2lInJf/4uWfCuifnKKMO3V5cbvu7orXpcmnbP e3CYcPnil56vsvUXHmr+faXjpw8K+ycWezQy/qQa3vtR1OWufmrk1N0WZsEB wthLHn0RMXB8oNhh7EPMykye2SNM7DB26wufOnZweCB2GHux6XUmlHR8JHYY e9rmqieSOsaJHcY+eHLtL25fTxA7jN3QvZ73MbskscPYG9Rs0nRLRLKwW0FL r3mj01T8jtbLJk6NMDx2/vXDpmM9lK2h/4C8BUHClD+8f+3Iji3aXxDGv0yD XeezRp0Tfxh/GH+Y9wW3PLr2YOmPXFXTV6kP1w66IZzetETaj+eDlW0Vj07n F4cIY/eLr5DicOee2GHs7j+ZP60VEyl2GPuUPtaJydkxYoex7367I2fo0nix w9jLROyd0alMovBs70NZFm5PhR+vPT7NtEaqqu1d4eb23X5i533B2Lke/z5j z2ak7kuX9wdTH3gf1AeY8oW5nvLmen35Uz9g6gPM9095wNj5/rHD2Pn+scPY +f6xw9j5/rHD2Pn+Yb5/yhfGTn24tPHB7IFn/VXQhCnlR7RKVgs3Tf5h2Kgf DZ9ZpC9rMPiAcGtnl4t17U6pEntdWgdUvKgyjxTcOV48Xey0P3BM1BHfs04G Ycqb5+F7hyn/7SXfuLmvD1Nzv9xS/1bFCGHb4nvqulpGC2+OHOJ6dFus6DnR 0TDlbuMs4bd3OzT+OiVDfbFh24Nu8x8arL0ODbaeMUO5HQ1ttOHbe8L5QWUW 3+sbIuwVu3Jfp3EBwtRn2MmywCa4pZ+wY2Bg/PUyJ4X5P/Rzfxh/GH+Y7xem vlBer/o5BhmeBqltYTlDp0XfkvKIq7/94NFtD4VPR3nudz7yWMqX+sr9YO7n XTvevqTjE+FxP47f7HwkUb6PFWFZdnfmp6jKA56Yxoz/Te2p+v2HVr0zpDx5 XuobTHnC1D+Y/9O337QHfG9tu8zaqC5pzPeLPux8b7wPnv9a7SfD9wdck+tp TykPmOeZtqrQoU1mkOjxX21IX2yb2Jnnh3lfMN/LtKxIt7kml5XrnQ69e5UP k/Ziy65KF3LNwqV9qOHYcPnbNuHSHjTPj/Aa7REm9f9+r+qqRqNQqe/rpvtX a3f3ltTn39JKn3156rh876m5eSfe1btncP2o39y6v///0O8CTnyec0v4Utzg wk1WPsIT64besWl+WMEfl9wyYWqjG8JNbl0+MPlpmKo73/mYp02EGvdy6urE zuFqzDe7ruxyjVamp79eHhwYpupUtZ4e6xWrrPpMjZhSLUA1SbFdM+d8snpw eGDD3JQTam5QgbW9X4bq5rnx633rPZRHQoB60T9LLbyy6uq8LhGdy694cCJz 8jrhyMFpo2fd/FU4PMolaOmWM8JdnI94ft3oovCWQeMSQjOuCwfsdgru4ntT 7Rv7rEGLycHK/PXpp18evin2ndGG6SdKBwu3X95rwqRpIerIKpMFu2qHqkMz u36VPESzz950Z+qCaveEK7T+alzzJfeVzReLjiyeEKZq77Pt8mhXuNj7dIv6 rod1pPCT5G/HvHaJEjbPT570YecY4Ud32jSLHxAr/HLQ6xZp9eKFex/sfMw/ Ml455H76/ErPMHXqZetjhrw4sY9tXNznrvcT4eNLejY5PDZRmZY4uTupXYja btXH7Ze8J+rEnKv2rT4IUZt65mxo0ixRrr9jatb8ZLunwtWH2x7dlK5xm9jy xz38UoRXthhkPXtOqtSfbb0X/HzTOVk1u5TTamaZO9K/c/2vvp80+6FfunBW ueGHh75LV6nFvii/PO2SKuVRct439bT+fuaa8yp1aYa63uPraSXHnJf+v+WW BSXn10y8RP/O/aT/MbK+P+d7xk7/brXxy77pPUOkv6d/Nb07vaST8x25nvoL U39h6i9M/YX1/fcBL7cJ8/do74v2r5JFZadHMXelPcROfYdp/+pWebVLfe73 h/Zw19ZdJUa1T1OGBQVq1s8H/6B/SHr6vpi4Q8IeFVyO3C7lo+q+/uScw9FA tfHmoquW1a4ox66fWK3aHqRaLXs5sXpiksotleF7pl+QGuNz1aWi2VO18fwJ m1oeV1THTg+HTVmbpibkbrZd0cfVoP8/+n+Y9p94mvaSeBomfobRB5vWD5vt 3SNU2u/I5KF9a88PVXZxhUElHELUmyrN3zQIC1V9rnye0HZmqLrk3dLL50CY xMte3RL8NkaEqYGjzT+9EH9flXzXyLZ8h3CJl0e7dl/kqMLVyOsfT29xMkrd L+9rd7VYuMTLrk7nlllGhanCL/fXKbssVrVNijp191WoxMuurvV7GS6Hqk6h uSeuPIlX4R/2nT5t+O/t+XfvtlZclqBah7TvUdfaX/q7DeMtb5YodV1lFHdq Un9Bqnzv4dteTuwfnql6drj367y9nuroHgefGm6ZYt/8eIXTgNVZwvQHlC/9 k125C6mTEh4amt1Y38cweHfnj8vN969eXmPnxserjn8eLuzdOK+Tz+17wrwf 7lfpS2uXNz4hYn9glzLFKyZYeGZstyVZm24Jp8bevLm+7W1h+kuY9839j1i2 m25udlXsrS196i4bfUU483avbQ3GnBCODxzYaIzPKeHIXvMGBJ94KN/jmpAL o04pjXeuTX4+ZnmIsO3HjU37VNDY3+N4x7SDfsI1vNoPO3XlinClM939X2ef 1PpbYzwADz9bbdCWRhek/h35sXQ1kxcXhXlfxHfUj/yMsaFzD14VnmQ6M257 YYCK/2LkicLKwRIPVqtwv9esa0Hq+MoanjdPXlMr3GLePLofpD6oOcOs2r1r yr7rsZ7Hm4WouT3svvmuRKD8H/WF++8atDjI7LbW3pU57Z/p7hIq11NfsO8b 2T+x/3OtPXzsGJ4+am+EOtFlj8upYb/HOQOv9DGZHC7+1Ceu/778iIRPzB4K n6wen1r/VLQamPLY5YJFuPJ4dMDxWKeHKnpfB5fyzcLV5+VsTdebRMr9qH/4 2/k5xsVUeyzc8+ncvHkJscr0cEJ6TsNwZXrFfdy1vo/ViotRhR7Vw9XZHY9/ PPhBjNyP+oq/S/vz079y19rvY5cXzfp6SoK6Ft3v9G9DwlTorMGOZe/GiT/x NNe/ruyX2baW1r5X3bYyt2t+ojL3UdPb1wuR+Huh/WbTn78MVl2mftpraXai 3E/ff47PuDm1pqfWHyyftcGp7qJkrT80th/Y7/rfTS/2hdZfZ9i6ZZcplaas Ktt+ljEtUJUx3Wk3Kuyp2rlm45yJFW6pmUtqDUmokaK+cl7Q8NNfb6inbx4Z In5JkfvT/3K/drvvf5fkm6b1J3W3Tc/alKE6Onrvq7pdiz+Jn+GSDl3dh0YE CBNPS30z9v/Sfxjjedixas3lbXr6i534A/4+Z2aPb0bdkXySeP7S/l4jEvyS 1M3eFXa27e+nvNP6j9k0KE3Zvju1rW2La5I/7O57J7bmwJ+k/Tizvn27udWW CA+fmv/687Kh6u19n30F2QmqW9W0nJwBIapnkmuw2c5AFVDScs79JzskH51p HlQ6qf1v6mGDMnPT12ZKPtkzLKVZ6oCzBsoHpjxg2hMY/5u1AuM/a7RZ/GH8 Yfzh1GejUp223pPyqXs8q3uM/yPhL84Y7Oq+jhe++9Pq19GVngpPnf2lp1vD NOGygz4dbNMtS/ieR9YSk6M5wlZrBkVEnX0mPGvumcZnruUL+02ovsI1+Llw RYfFkVOjXwqP7pnQrG/ya+FjLXuvtsp7K1xoefhRYWGhMPqI59AHow9GH4w+ GH0w+iR+NOqD0QejD0YfjD4YfTD6YPQRj6IPRh+MPhh9MPpg9MHog9EHow9G H4w+GH0w+mD0EV+jD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9MPpg9JEvoA9G H4w+GH0w+mD0weiD0QejD0YfjD4YfTD6YPSR/6APRh+MPhh9MPpg9MHog9EH ow9GH4w+GH0w+mD0kc+hD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9MPpg9JF/ og9GH4w+GH0w+mD0weiD0QejD0YfjD4YfTD69PNF5NPohdELoxdGL4xeGL0w emH0wuiF0QujF0YvjF4YvTB6GR9Ar4wfGPXC6IXRC6MXRi+MXhi9MHph9MLo hdELoxdGL0z8SP6LfhkfNeqH0S/zBUb9MPph9MPoh9EPox9GP4x+GP0w+mH0 w+iH0X/yK4v7tdtli34Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9G /6Qr+6q4/ZAj+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj95k3q D/7AL1f0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPrDth3eMtc0 T/TD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+teUahqeYpMv+mH0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9nWefqDxyU4Hoh9EPox9G P4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YeYXGB+EGW+C9esvZH7FOF/yUdmE /GFR2cLX5k5oFVgrV3jek5TZncc9E24yYOpJb8884YSL2c8+z8gX1j8f+Tqs n38hXuP56N+5H+09TPsH0x7A1A+Y74XxoWqvku8mZyepNaH1ttY/9lDKD+Z5 42+MeGGTFSt2GPuSA5b7i5VKFDuM3Xxl2oCz5ilih7FfGOvzblrrDLHD2Bv/ evFepYPZYoexL9xsYZ15IlfsMPbAxSuX3bqUJ3YYe7XpKQ/2BRRo48tGxj75 m/5Nl9x/IXYY+9n+x1eOiH8ldhh76U5VoltnvhE7jH2I9fzmlV69EzuMnffB +DX1GWb9w54dqxqamITK9Yxfcz2MnfFp7DB2xpuxw9gZP8YO8zyvfL6p6Gqp zf8xXkv7BLNegfFIvn/GE2nfYNZjfPhsyYbSwVkyX9Ymasck75FHZPwPZjx1 Ru3o5hZdfIQ3zlk61bzdHgPzRVwPM37I/A92GDv/D1O/WH9BebC+Ai7n/ONv T9aEC/fqHRVSK0ZbD0U+w/1YrwTr2zPiYdaLsF4Fpr2j/Iauemvrvj5Txpt5 ft4v7SfvF+Z59etnWC/D/3F/+hu+74gr6zNKnI+S8qH/wb7O8OPetvlxYqc/ wl5/52D7rHJJYqd/wu6/sObb/VapYqe/wj5uROJvIztmip3+C3uxXxwOmzXM ETv9GXb7DeeKJbZ6Jnb6N+y7F5gPvdw1X+z0d9gzJy/z2t7/udjp/7B3Hp5U cu6wl2KnP8S+oa/NiIHjX4ud/hF7dFuv442d3oqd/hJ7o/qVSpv9UCh23jf9 UbuEq136742Q7xU745XY+X6xM96HnfVZ2Bkvw856LeyMN2GnPmBnvAY73x92 6gPfK8z3Sv2hflEfaI9g2iPqD/70l9hZD8j/03/zfFzP/9GfU1/wZ75JPz/y P11/9b+93qqH4WE5q+thMv+0ZOGkCS55UcIxO96MKqwYL/zDgmvlTjdIEq4+ fIPvlK6pwr5tv5pgOSxTmy8uu9Fsatsc4Vevckb16fFM2CZ18GlL+3xhj4e+ 5QpHPBdOvllzbOTEl8Ktzy71PTXrtfCqg4nlXRa/Fb7v3nfClPWFf9n6L+YL Q89FWfi/9DbAgV2WbQq/fsCgX69FfWW9h359ln79lX59VFHrn4pav1TU+qQL zqVHlhmrrU/Sr89AX8fWlT7d65UtHB/jE16hdI5w9p6fHKo809jdts3Hy21z hQ+Ur+q+us0zYVvfc4PyN2s8fOGOey8X5Amb1O3sNvGexhVSalWZcjlf+LTr ldCHVQuEic9h+j/ndX06xP3DfCr1l/dR1Pop/Xon/fqmz73uuvv9F+uXHHct uGDTPk3aA328H7vC87PgH7T1g8T/sr7OGP/DxP8w8X9uX/PqZgO1+quf/33f 9U+0f5QP+QFMPgAT/8PE+zDxPUw8DxO/w8TrMPE5TDwOE3/DxNv/X9ZX6efr a8/o8PGFTR7qblTmqnJ22noqiZ+N389Hq6K7L1x1SnjnV8W2Bg/dbvj/vt5q c/2kG4ZJEVKf4n/51Tcy+h/4T65fCkycY9H45xi536ajHmZWprHCy0OWder/ JEG48YbRpyNrPhG28LZJLfHmqfDtyfXHuvweB8GGjZW2nqucLjypb3b5Pv01 9mqd8evZKtnCJT8e+c3i5hq/qzPghZtFrvDAEpdPDu+ssV2VU3bTG+cJ78m1 LNvaRuMdJavut2lXIJwdt/rbig4apz9b+LpOzxfCXULSzqR/q3H7hNgBxQa8 Et54+cuPbk7VeF1oD8/okW+EHx/zGbd3vsYPrni+O+P4Tuv/d316ftFKjZf4 Rv62f5oWH+jXexW1fquo9Vj69VVFrZd63/VMpVOtLn/1ga8KTrbakFSQLvnZ 84YLbrlPSv/Deh3qP+Nh1PdVDXJPRozX2D09rHW0fY5cz3iZ9P/uc/L6HtL6 J9thQ5ztfsqV6xlPk3ig+MsWFzI1fxP/yFOXHz6T6xlvk/hg+sJZTVpofLr5 N/nNzfPlesbjsI+MLjyxe67Gk3fFtdw/pkDyX2k/jPmDfA+lvGY7L9XiW/JZ uFW8+VOnB3HC5LNw2OUkt/q/vzeYfBZ22uXVJaaUFg+Tz8p6sUXOGT/V0uJj 8lnYoUmt/geqa/Ey+Sx8oObyvUvrafEz+SxcUO7py5EttHiafFbWs72xsW+r tPiafBbekuZ1oHI/Ld4mn5X2L7LS20wHLf4mn4WbBzgPChijxePksxL/69az 6dej2V+xvBw5/K5cr1+fpl//xvuPXWz/fFI5bf6M/Iv4GOZ7gHn/MO8b5v3C vE+Y9wfzvmDeD8z7gCl/mPKGKV+Y8oTJL/R69evlYPTC6IXRC6MXRi+MXhi9 MHph9MLohdELoxdGL8z7Zv8E8QHxPvk3TP4Nk3/L+LfRn3wAfxh/GH8Yf/J3 /GH8Yfxh2a9nzPfxh/GH8YfxZ3wAfxh/GH8Yf8YT8Ifxh/GH8Wf8AX8Yfxh/ GH/yK/xh/GH8YfwZ78Afxh/GH8affA5/GH8Yfxh/GV8x+sP4w/jD+JMv4g/j D+MP408+iT+MP8z15JtcD2Mn/yS/JZ+Q/dLG/Uyy/9HIst9at38W5nr9fnPi FfIH4hGeHyZfIf7g+WGen3iD/+P5eR7aE56X9gQ7zPNQPvw/5cN4vH7/aM7A 3teTZ+TKftMDhoCSI049k/iN+QuY/cvst3XfsXL/saAc2Y/bz8ws0aLyM9mv a+K8wWrLEO3/6Q+4H/tJscPYeV8w5YF+nofyQZ+cp2C8H+Uh84tGlvEXY/nJ /K6RsfP+scP68RuZvzEyz8t4rn6/N8/L+Ab+MP6Md8j8kZGxM/6BHcbOeAh2 GDvjI9hh7IyXYIexM34i+byRsTOegh3GzvgKdhg74y3YYeyMv2CHsTMegx3G zvgMdljfn+v3k8t8sDG+Z74DZj853wvjPfjLfiHj9cyHwMy34s/4D/6yf8h4 PfMlMPv98Wd8CH/ZP2S8nvkUmPMB8Gf8CH/ZL2S8nvkWmPME8Gd8CX/ZH2S8 nvkYmPldOe/DmK/KeR/kr8brma+B2W+PP+PP+Mt+IOP1zKfAzOfIeSXG8S45 D4P9QcbrmZ+EmW/Gn/Fs/GX/j/F6/fkPzA/hz3ga/jDX6+dbmb+GZT2DkYkP YdmPy35/9uMaWfbjGln24xqZeAmW/bZGlv22RiY+gYk30Ev8wHkOcU2LT+i0 TmPqG+0r9ZP2m/6a/hmm/+qYdHWls7UWj1Cf6Q+5P/7Y6T+x0z6Q35PvMP4X WvNGyEZ3f+mvyX+wk//A5D8w+Q9M/gOT/8DkPzD5D0z+A5P/wOQ/MPkPTP4D k//8d+c18L06nTsZGrMnW81+M+SXprsDJV5p7lDe2q3BfYlX8L/X0KzH5dC8 f/r5C+mF+cPtdt8yZC4+9qbyklzVdu+W51aXww1N6u06PjTomTr0fHWB7yY/ 9WBL15/XlvdQdjUTrF9v81Ot/D6JqbBY2x//V52vUNR5CkWdn/BXn5dQ1PkI f/b8g6LON4DLutU89m24Nh84LGl0w06rs1TpeRZDv2zoLfU9cO2p7sPL+Bnm DYts/DJEyzdSh6ZOzG2ZqzzSui9rPPq6xO/lPmlUOcw32LBh/ie1pjXQ4veC Cgnzev30TJne2t+7q2WoxPNbKp6uWDb2gaHGcItR/afnqdMRbpMqj4uU+L70 rNvHrUN3S/wr852PFn30QQ1PwwmPLNOhd0/8If6nPfmz5zH8s89b0J+vUNR5 CjDte8Yl84Uvyl2UfI/2vsPOwIDls3Kk/d7jN65dk1Qtn7H2bHkquE3eH85f aGi5vMnV704Z7OuUcg80z1EvQpuHl9t7SD2Y9MmtYXt8DN+d/TDDI8ZLLbkd P/SjjccN3unBxSyO+qpKLS9WVGV2GF5trP7z7g03pLyXbfzJvuST638of85z mObZ/dA0+18MeVXbdzeZkK26Zay8f2vsZYPd9AZDjx3KkXym/Zrqt3w6nDSs 21M2s/Gk83K/hvvzfjw54Lq6VixiuPud3+T90X5+MDB766dnjsj1FvYP5hz4 +ICw4+q4sSlb/SQ/Kup8CLvIYu/itvqoj8y+7/7V1UOGgCXO33r7nJH8zrnM k0bpEy5IvJt8+nrE/JmXJX/ie2zer4Sv33EP5eWZfTBg3zXJv/7s+RPrxtmu GN444A/5OPb/7nwSztsg36L8LvWrc8ipcpCUV2vbw7kfXrgrfHZFzQMX88OE F62IXDrdQuNytfvVO518Q43p4Pei+j0f1Tprs6s6d0t16d3d5UEp3yLPHyB/ 43lqjN3TpG67CLm/w9jEgbM/fCCc1/VoYcM60cLnuk6OiraPEibfk/U5tZuv cXOMEXvfze3vzzCPFf558U5r24bxwgsKF1arczlOmPyQ+93KjJ1hEpgg9qfT ii+v1/qJcJtvJjws3i1JuOrjHjeiIhKFySe538Q7njXPJDwV+8r+AU0f908W vtexySrfYanCZy6Um+2alSJM/in14ciMgKmv08Ruae0avWV8uvCs6gXNZzhl Cg/eHl67bymNyVe538CeOzq4mmWLffQHR6/t76xx6bePp7v1yBF+1TEoaXF5 jclvud/uliauU6vkit07r0L1pTYaD03v5j/N/plwH+vmnUZU15h8mPtlW45L 7mORJ3aTJ7OdRjpo7Bl1oIbNyHxhj+rubq3raUz+zP06V77Z2apxgdjtwh7c aDNG44KAMrPqOD4XTirzKqViC43Jt7nfxuLWPxW2fSH2nX4dzStP07jXuWm3 TGa/1Orfq6+7ZHTWmPyc+0XnbEqL7PFK7OnHd8/OnK/xlt9Ca0Uvfi28IuWK +00bjcnnuZ913LOup+3fiL3jryVv31qp8ROP1s5n1r8VDn9QJ2Ovg8bk/9xv YfAQD5eR78S+brOjxX4XjZuv2RbourVQ2Orm2u6Lx2j8f31eiv78h/c9H+Wv Pt/kfc8zed/zSt73PJL3PX/krz5f5H3PC+F6GR8w2vfOf5Qa0C1TlWi1Lu7U ltGG5/ObPO1eKvtPny+iP0/knuuqsQ96bJb8HXu406OVu1pkq2V7Drm89Thi ODzYuUK9q7///9nnl4OX3TF09H9caHcvVy1rFNRjeeB9g1WZka9G18pT7xps rpn3dYCKT+qzSGWc+8N5Jeat3sRZ3blumOw1LsizQa66dHRNz4m+oYbonx2G Oy18pgq2ZliFHL1gsJ/fckzV+dp+PuId8nV9fg6Tn8Pk5zD5OUx+DpOfw+Tn MPk5TH4Ok5/D5Ocw+TlMfg6Tn+vPN9bPv5CPY9fPv5Cfcz3M9fr8nfWA+MP4 w/jD+LN+En8Yfxh/mHhan0/J+cTsFzEy8ZqcR2yMt+T8YmO8BBPvwMQrMPGG xKvGeAGmv4fpr2H6W5j+Eqa/g+mvYN63Xi/xtey/MDJ65bxlo14YvTB6YfTK eXRGvTB6YfTC6IXRC6MXRi+MXv18Hfk8+Qf5OvmJfn+dvj2g/GgPYNoDmPYA pj2AaQ9g2gOY9gCmPYBpD2DaA5j2AKY9gGkPYDmv1lhesv/GyOiD0QejD0Yf jD4YfTD6YPTB6IPRB6MPRp/+PHDGf/geaO8YP2b8l/Fj8l36K72dfBemPeX7 YXyH/J/9YDyPrF8z3p/5V64nH6d/grHr2zP98zIfy3om7Owvgdk/ArNfCp6z e9C2c6ExwuyXgh945bysXOyJMPulYOcffQ8EfJYszH4p+OMpSwctbZYuzH4p eNh+K5MaVtnC7JeCPbescXjeNFeY/VLwi+XpR0I75AmzXwruNcu+hFfvAmH2 S8HuY04OWzvohTD7peAnAz7zHjfqlTD7peCWXReadvnujTD7peDlzWJHVp/7 Tpj9UjDvj/EU3hfM+4F5HzDlD1PeMOULU54w5QdTXjDlA1MeMPph9MLo1Z9n Tv2gvtJeU39kPafxetYbwKxfwJ/2HX9Z32m8nvUJ8Ahrux53XuaJP+s78Zf1 nsx3xpcfZ7pD4wo/hyxXnbX1nsQj1D/00t7C1D+Y9hem/sG0xzD1D6Z9lvUQ xvoH017D1D+Y9hum/sG05zD1D6Z9h6l/MO09TP2Daf9h6h9MfwBT/2D6B5j6 B9Nf6L8/2e9iZNnvYmTZ72Jk4lWZPzfOTxKf8r0yX8j3SjzC90h8CzP/yPdJ vML3B/P/fK88L/Ob9C/8H8/Peh3qC8z/8f/UB/z5f54X5nrqA9fzfNwfu34/ YlHzp//u86V/dn70332/ZFHztUXtfyxqPle/H7Ko/YX6+cSi9hu+73xjUfsT 33c+sqj9jPr5yvfd31jUfCb1Xb+eke9fP99J/R99f4+To82FP8wP6ed39ftJ ippf1O9v1M836vc76ucfi9r/qJ+P1M83FjW/V9R8ZFHzU/r9M/r5yaLmI4NO 77hZcauW35DvdH7RxfO1u7f6rPyc+7WDtfnsouZb9fOV+v06/1vzk+wX0u+3 /XfbX/q++yv/2fOnf89//j3/+ff859/zn/C++0ei980OknhOv5+uqP3Nf+9P /tfan0z/IefX/Yvtt9WfP/H3ftt/rf22+vlf/Xo6/X7wouaHi5r/lfNXDo84 tyJ/lkE/H6yfX/4P5/TXbw== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNVmlsVkUUvdOFfi1fV1sKpZQWWopQCqVFKbIqiIKiouKuWAVRoBXQWv+Y YMQFSFzBHRQ17muixn2LglHjDxWNcUWNS1wScNeo53iOsT9OZt68mTv3nnvu fa+hq2dhd05E7AFygWOAdqAaKAEGAlmgDCj22t5AKVAONHudz33AeUAGGAkU +nyTx2Lb4nqRz1TYzhygBagCZtou3zcABT5TCbQCewFLPfLsGNuhj3OBccAg YDYw1vt6gS7gMOA4oAMYbLtZ+9foeZGfS+zzKM+zjq/QPjHeEd7f4nvo/xn2 r8L3l/vdicAkoAbYBxgKkPv9UsRzGA8A9gVqnYt6IN93DQfqgDzbLXW8sxw/ 5/s7N7zvSL8bTfuOjX6eCiy2vTzbzLUvwwC4EquBVcAEYLrzRx6OAKbZ1lTn mDzN62fvAu5NunMLeUs6T7vVjvcW8pGU407HyRinON+FzhPzlfGZwfbzeGAR MMTPNb631pxybw/QbS5rzDn3rARWeN+Bjo/5OsjP1NZy4GigzdyVOffzgYkh XTGOdt9FPqiPrP2p7edvh9dyzC85WAjM8JkZvqPEd9MX6uQm4F3zXGwfSs0J eaImmp2b4n62SpyLBc4Hbc/yeepipu002u+suVhh/5qcV+aUuqWeys3fweZw jbkgD4fbp3y/P8R7WH9zHA+1SV1X+P0872k159zD2pkd/9c166fS/J3gHDKe xSG9kvtjzfGhIU3zPfVyWkgzrEtqsMixnm6eaPtM2+f9Z4V08N/dlfZ1qWPv dZwDzPES81rg2DOOb5nPLfMdnI8PaYuxUk9zzRt1tNxrCxwD/Wc9sQaof/aZ Pvt/vueZfu+4Xg9MNv8d5ol6OylUy8zpKaE6IG8nO9+19q3V8fb5DnK2yvlj Xlhj1Hoy5+Q7x/63OZYrge2h/GfsW4E56zVHTwDX2z7ru9N7Lgc+B46yj932 7U7GlpQn+rzSfm9mHpJyXOczjPdv4C3fyd61xr512YcB5qHHZ87xPuadd5xt HiY4/iqPq21nnJ8530YekuqJ/CwyR3fQ96S6KcJ4g/PZjPl95vsT4FPf04j1 e2z7beAd81OA9WvNUz7muUlxvAbcbztjsPaAc8A+ujXUD5ioa6wL9t2bQzXd gPldoTrbGerRrI1KrD8d6iMdmL9qri7zM+cP+r42c9yexHMbxr9C2vsB+D70 Xc1g/XHneCDmT4Y0XYr5U6H+MgTzZ0L96BHgYWsqYf3RkKa/oL9JvZi83h7i ltzfGuL/UvtBH9aRy6Re9gL1kpTXsRhfCtVeE+YvhnrTDuCqUD9i3JMc7+vA Q6EedzH5TtLlRIxvhGr1auBNzx8DXrHPHwIfhXoedb0rpO1vgK9D/1YjYOf5 UL/7GLgw1D+GYf3ZUM/9ANgY+oZfAvwZ6n2DsKc6qQe9D2wIfU+mJdUS7/oS +Cqky9HUaVKPK8dYkdQH3wPWh77njDvPsX8LfBfqrdRFWZI2yNnIJN7I5agk Pm9zzIx3LTA06XtzETXl3H1m/+jbT8CPof+g60Jap843Rfyr3XoMvwA/h3rY jaFaYh39AfwequPJWHs5VMe/Ab+G+sTdIa23mFf+V5HbKRivwHgusDv0r8vv CvWYTdIkdVqYpFXqNydJw/eGapV1yrzVJeWOuapJyhd7G2uY9UtdVyVpuzPp bt7L2mUvYP3+A9Bb0Ao= "]], Polygon[CompressedData[" 1:eJwt1HdsT1EUwPF7q20IYgRFtRSlpdVSo6ja1Ay1d1ukZivGH1YQWxGb2HvH JvwlkhqxSWwxY++9x/fknD8+Oe/+3vu9e+85576IjOzUrADnXD8E4hquoz7K 4yESvXOjifHYj/kYihoowL1VxApIwnh8RC/URGHuryVGIhn5GK8gRqCe/I/x DmIMmuMe7qMpqqA499cTK6MRKjHeRYxFS5RmvJEYjSYIZ7yFWBXN8Akf5Dlb Uyj3N9m7G2Ml8ntbC9agkNe9yJoX4SLaozXO4hziUAwhPHuHGIWB2IBSXtcq axqH1+iOBJTl3jbiYGTiNA6hLVrZXIvRzubcLnXwuhfJ0WaEed2r7HEepqIF UpCL82iDUSjKs7ckbxiAdbJur7WQnJ5EHcYjndb4PZ6hK3riEZ6gCzrjOZ7K vu0Z6YVpdl96YjJKeM1FQ0xCEa9zN8BBLLS91sJu20OK5TSBZ2cTg9EBfzAT aUhHHu4vI/ZHBgoyXk2s6LRnkxgfc9q7Y3EKsxCERMv1Gaul5PwzJthaeuOt 0x6W3u2BF1ZDqV03HLU55N15LXe5lmvJ4T4ccHo2pAYLbM/y/jE4jq0Y5LTH 3+AVSlqPxPG+K8QyyLLaRvHbEKvxHqm7196vjmpcTycOw3BEM37g9KzKf2IZ XyaG2jPf7T/ybF8clrV67bdEy0Vdr2uVNcdzPcPWko2f9ptcyzdjLqY4PUud kGM9ILVPxRzrAal9RwTw36XEcjIPLuGIzS1rWC559XpPvhFytu7au+WMSe+9 tFqEWO7eWa0khzH8d6/lRnrygtMeSrf3y7fgi9VavgnBXmsqtZSeuopftrdw q5Wc2UyrWSDXQV57T3r0Bm7a3qQHa3v9Rsi3YYTsk/EJu5YzL7X4hj5Wk982 p8yV5rT2P6w20gNL4L3mR3ImZ/m25VbO9F/8c3pWpMe/YiLCbI6diPT6bZVv ZjLXj52eZcnPf0EZoY8= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgW4l8USxs+3a2JgYouoWKDY9yoqIaKEgiAdUgcVlAZJaZAQgz50I4go ioCJIKWE18DEQLEV5FrX4s7Peff5eB7mmc3Zd2Z353v3fyjVqmOdDqGgoOD8 WFBg/wrutMrjJneYDDMZalI5Kyg4x/S/TK40GWFS0dqqmMy08gyTRiaLTB41 aW0y22SWSROTuSZzTJqZzDeZZ3K7yUKTBSYtTUaZVDJ7NyBWvtF0PZP2Jk1N mpk8Zu2LTQpNVpqsMOlssszkSZP2Jk+bPGVyD+NsTn2TBibtTJrIFv4tkY93 Wb2x+p6w+lLa6LN6Q5NGJndKM66t7NF3t3A1N7nfpJdJb5NBJl1Nupl0MLnd pIVJR+mWJp2kW5n0sPXamO6ieZQLNb9Qa3aXBlcPaXDdK40fPaXbCUs7xe8Z s7/cpCNxEV4w9c28DsZ+0mC8TxqMPYPjGmAycD+MvWWbGAwWVjAOkQbjUGkw DpMG43BpMPaRDXB0Db5f+L/OZDnYTUZoPcY+JBzEeLRwg7d3cIxjTB4RJrA8 uB/2idon7E0QDurz1TfJZJxwg3e8NOPGyh59C00mmxSZPCwsgzUf2yNNZggr /X2D45pqMk0YwTVLWLG9QPMnS7AxymSesE7UeqPk9xxhBeNcacbNlj36XjF5 WnEcqfix58+bPGayRDJdeIuCY1xksng/vE8I62zNm6Y5yxW7BVpnnuqjtA57 s0xYwfiUNOOelD36XjR53GSpZKbWe0a2ifcLwsq4Z/fD+Jw0uF7SfPBONV+m mFQ1ec1kPTnFZK1wgHddcDurTF4WJvCukWbcatmjrz95x/SGzHMhOfFckxom B5ocb7JJ9sD4qjQYX5Mm9pul8WmLNDHYKo0f26RZ/3VpMP5HGoxvSOPTm9Ls +U6No/8zafo3Bsf+jsm78mOjyXvSYH9fGuwfSIP9LdnmXu6QD2D/SBrsH0uD /RNpsH8qDabNxMjkJpMPZRtbnwsj6/zP5CuTr02+NNkuzF/th/1rabB/Iw32 b6XB/p0063wvDfYfpMG+Wxrse6TB/qM02PdpDmMHBcfzhclPii/Yq1n7LtM/ m/ySeZkxv0rjx2/S+LFXttmr3+UPfvwhjR9/SuPHX9L48bc0mP4rG+DgTpJX HtJ+clY5iyG4P6wZg2vmHRBc40f14Ng5xweF3I+Dg2v8OCS4xo9Dg2v2qlhw jR+HBdf4cXhwjR9HBNf4cUrwOYw9VZqxRwWPdYHpo4PrzOQYafw4Vho/jpPG jyOD2yY2JULuxwnS+HGiNH6cJI0fJ0uDqXhwGwnHbp2L04QRPy4xOcOklElJ rV1cbcXlRylp/DhTGj/OksaPs6Xxo6byR2nlFcollF9KyI/zpPHjfOmTFJs9 OrOnCyOYygaPNTG+UBo/LpJmbDlp/LhYGj8ukG1ic6n8wY/LpPHjcmn8uFnY rwjOEZMfZWQDHOR1vod88/4t3/CJnM73h/5rhRu85YUDG9dI01dBPpTTXHIm ObSK8IHreuGmDveBJ8K3KslP9rCyNOMqyh593YJzkdY2/jphYT04KpwX7guH hbfCC+G+cFU4K/wIrgHngNvCheGNcObrTVfInCPDYeGc8Fa4KnwMrg3/hQfD T+Gh8Es4KdwW3gb/hbfCY+Hd8Gs4EwJXhDslLgjfYo12aoOzwhvhkYnXUmcN OBh8rrHG/sMtg3PTzlnOWeGFSxRvvmHghjfC3xLHpd5cbcku/A2+11T1dsLa VTFLnLVnlnPc7lnOcXvIVh/ZaiA/CrOcK2OrV3DO2j/LeXPi4fCRvlnOcfsJ Y1/ZTTmRnMJ7hTdKQ9kdpH1lLPwm8Sn0CGGHSw6X3dEaN1jnnXPfJzhPfUC2 yNPka/gU/GWx6tPVlrjyMK3/cJZzSu5K4pgzNCfx7KHCAmecIHyTVB+utvHC Pll9vTXu/izn7vDdfsH56xTVx8qfAcI6RmPHqQ+fi2SX9x9vPvYKHgefgzMm LrhMa9M3X7jmqR9b8MNZ8o97vkTrzFEfayzU/KmKH3yO9x9vnRZZ/iZhH+CD cNxHFa8lijtrPi1MiU/PkZ+zFGv4I3xxpbAu15w58uNJjYUrLlWs58t2N60/ KMs567Oyu1S+zZaNJ+QD/auE73nNKa3cSo5lHvyQ3Me3im8N3x4wwdPWyh5c cXWW81rqA4Jz2fXyea36EjdNXBWd+B/c6QNhgh9uzHKOS32l2uCUiRfuUJzW CVPiu5uznLO+keUcd1uWc1zq8EQ463bN2SEciStvyXKe+n6W8+atWc5r381y Xvue8NH2TpZzaNaDf8Fb4DGJ/+3Jcg69M8t57cdZzmupDw7OC3fJ1k71JT6a +Ok3Wufq4N9vvm2J136Z5byW+na1fSF75Ka9itnnwpQ47rdab69wJ177Q5bz 2t2a85NsJb7+UZbz4++0NjH4Lcu58vdZzmV/yXIuS32X2uCLiavBddjvt4Q3 8drfhYVxcKvEZf/SOvtUTzwVngduxu7Lcq6ZuCf6kJDzOfhQ4qxwvsRZqYOP NnhhMfEReAnxYh0wJf5aLOQclHsFPvgUvAp83LMjQ85Hjwk5jwRH4r6HhZx3 wtsSDz5cOOB1x4ecp5YIOa/FLrlgtc51eg9gO3G4C0POO0vKLn2nCuvpqicO Wkq4S6ovccrEMdFwtvTeYL3EU88SVvpLh5zLnhly7lgu5Nz3jJDz1PNCzjUv UuzhcWVCzk3Las4lspXeBqcophfIVuKdlyneZdSXuClc7iqteb6wXCq76Tcd viF8t/jG8t34wPp+MHnbyrcG/73gRs2/WvZYo7zqiY+WF3Y44rVaB95ZWT7A NSuGnGtWkv8VNKes5l2jNVmbbxN+VJGt2sF/D60nbFU1pqHGg3ODySMqv2oy Pvj7upzWZ716wd94nLv6wX+zYD8bBH97sKe3BOfxV2jNWsE57RiVaXtQmMDD W75O8O8Iv822xUbm9urL/s1aA/uNg3NlbNYQpgOF67bgd3RccN/wpXlw/lAt c34L14VL8NtyU7XPlN2brLxK9hmLvWqyyRzswOX4jboNuDL/LboFsbByq+B8 njK/S1OvmfkceCB8mbGUq2deZzx8ea6w0k4MCmUf7k0Zzss43gK0sX5r2Yfz PxCc9/Pb+x2KIb9RU69l5XbB3wKU4eqU4df8Xk1fbSvfHfyNQJk+ynBzfhun 71Yr80P/PSrTRxmOxG/m9NWxcqfg3InyP3w+OPd/MTi35i2w2vRLwbksfbyt +B2b3+S7sJdWfjb4fvCOek4avt89+PuKtxW/S7NeXSs/r3G8N16Q7qL2ezX+ RfX11PpoeChrdpYdzkUTnYeXhZG7zt8y7jepauU1wfvgtWulyQP3Bee7UzSG Mlx9WvD7BWfaJg2PGBicS63XGMorMr8TA9U+Pfh9TPwAzbeUM8FeN1M8eRvw ZqlreojGVtb54D3IGRkq/OhhKg9XmbHMG6y5vFF5c/LeHBm8XEVt1HmLYpc3 LWNHBy/fIMzYeVv9ozWX+1RX9tlDckE9ncelOpPEaWzw+/uK4lukWD6seG5R Gzx3rGK7QuVxmsv6k4RhgmJImT2cLN/7ay7ck37GkffIkXB98iS5gRzRSG1T tb/s1bSQ25gmDLxZyC/klhmay1l6RfOZC7bp2lPOGnMaKD/N0PhGKtcXtunC 316xqq2zQN92+ThR+MlVvD9T7qFcXfmD3xRqqp3fIBopx/CbAjmHPDRXNlpq TA3lKuaSh2ibr/YWKqd15mqtZvKrmnLjQtnjzC7RuWXNRVq3jcpg5DcKvge3 6D7OVpzaqr1Q45ifciRzmuosYb+W7sdi2VkgDPhO/+MaQ57ppnO4VmeOPUp3 e4ryHL+zkPfQy1SmnbdiC+0LfeRFcgy5prPyKuPp53ckclZd5UXqKf8tVzv2 yKd1NOYplTuonTU7yQ795DxyXGudmVXypavK9XXX8JM2ch15ljVXqEy+XaUx 9bK8j5x8r+z3CHluxa8eWrtNlufo1vrW8F1hH3pqPHl4qdo5t+Rechb5qo/K 5FliTl4l31JnHPk55ev+amcMeWBr8FzAu7pI+0UenqJ9THljzX6212huL+0R trn/2FiluwYH2q5ctEH9rwfP3RvVv0lj1msMOQc81Mkb9DGW99kGta9UPB9S rGh7TeM3yS7393XZX6/2zSofGC13ROdHRfKduW+ZrhE9p/2JT9FzQVXTlaPn 30qmr42eu2uavin6N6GL6V+C57yf2dvoefYvk17Rc+hPJndHx32p6Uui79vF pstFj+U24QbnbdZ2evS7u0ntxOIWazstek6dZ/qw6LzwItMXRo/NAtNHR/8G 7jG5JnrOTt9O7PPO4Pdf/oZWyvrHRs8xHxPb6Plnkunbo9/9kaZvjs4bD8Fe dK56sOlh0Tkm8xpo7hjT9aLnrh3WNzp6Tq6jvWCPzrS28dHz1mfB12OtR0w3 ip4bzyCW0XPkJ8H7aP/UyuOi5yJ0E5UnmG4WPR/uDF6nXNL0g9FzM/EbpRiu 0xlYpLO0VW2HWv+I6N85/DtIPnJ2DtD5GWA6ROfRb5hUjP6NZk9O1L7MN314 dL7+pskN0b/vHwaPKfHcbuVvgueEgdZ2fHRe/r7J98G/iada21Ha0z6mj4nO A94x+Vb3+j5rOy46737X5Dvd0yHWViL6e2C46ROivwe2yF/OP+v8prXKWn+Z 6DyxYfQ9IP53mj4veu5sF/3/q5ALG0c/Q5yf+tFjTZzbmj43et7dqLMHZ1to bccKf2/TfwfnNa2sXDp6/mtu+qzo36srTF8enRvyRvwj+Hf8FGs7Ofpb5aTo d5j724//RBP9TdM0+jnjjLUwfXZ0Tt/G9DnRvy3cswd018qb3h2c03Fm6+rc fm31vcHz/JemZ0b/plxpukd0LsM97qC7nEXHAQbi1F6xuif6frPX061cGP07 iL07ZJNccmT0fEL8ZiiGX5nMjv6N26fYEbcfTWpFfxteH/0scg7JT9Wj56gY /bxyVqtFncXMz2YdnU/yXJXouY48VyF6ruse/SxyNm5lbPT36HWc3+g89qPg d577Tm7rFD2//Ro8P+IL8Z6mmLNvc7R3nOsFOttHRL8zteXrXfKX875QZ6ZY 9NzH/frcpCg6D+H3hquU1zpGvxvcC87sLJ3b4qa7Rn+3c8/6665ho6XscO4m 6uxNNd06+jd3l+qUuU+DdKc4s1N0brlbQ3W/OGuTdd6+CL7f7DV3tK/u6f8B kdfXRA== "]], Polygon[CompressedData[" 1:eJwtlNlvjkEYxd9vniIkiLgh3Li1RexbrG1pq9vXr1o7LUVVF0o1RdVaSy0p rQYR4X/wd7iQEPu+JghiX34nz1ycnHNm3neWM8/MmKqGdH1IkiQDssB1S5Kh oJTGStCIbgDtqSRpw+9G7wI38QfwV9Gv4DReA70Hk82/7aKtFX0PfRt9Ef4J RtOWhpfqG/RDOI/+1fAe82/U1wsu4V/AJfTXwi3437GvB1zBv4RL6a+DZ+L/ BJ/rEHgLJtLWAjfxzS14Dv4YvAifoPeDDD4fnEQ/0Pz0rYQn4L/AZ4OPMRb/ GT4DmrUvMF6ZwNX8MwX9FX0O7AN15t+oT2O8A5Noaw2eaUB3gHJ8ARiBvg8v oa8YvoZ/DZfhG+Ft+DdwBr8DrsdvN9+bxmxC34nZaw1/QRttZcpYOaIHmY99 GtwF05SBsuafZvQP9HnQrX3iHykb+tbC8/HzwGL8Ce0T/Vhrx6+H+ytbUIEu DD7WKPNa0pgz0NPNa6cDfA8+p+ZSTWWhD4Pl+GVgnHnmyloZz0Z/hDvBUeWi szOvHZ1ZheYyX4vWXKxaNt9rDvgQx9C/qoF2dMr87HUGN8wzURaX4bn4gaAv znkcPRLkprxtmPmetBfV9BDzMfRvbvBaGYwviTXTiR5gnk0ROILuZ75XZXYQ bea1oAymmteUakln1Id+Dhcz/xb4V7wTPfGOlSs787PSnRqOnqVMg9fAJnSN +V3VncnRXsAp5YPPR+eZ667g/+pO6S5pjG70E50N/VXwVnyteS2qRnvRz7Q3 dA18Af9UtYDfCC/ALzSvnWzadqK/xaz05qTxn+JZKbNVOlvzfzVnIbrI/G7q jqyQNl+LanCDtPlboYzWqRbMs9Ka1igb87VpTdmqZfO1KIPN+tb8rulNK9DZ mGehM9+L/hfvkt6Maq3N/O3RG/UfH3CajA== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFmHm8j2Uaxn+c+5EaNJGoKDqlRYuRaJUkRWUMZSajGE1Ny6QpUSakks/s +77P5zNbkZ2iMW1Dk4qmTXUshRDp4DBipprr2339PueP63Nf7/Pev+d93+e5 7ut+zuk8+tYhY5pWKpU/N6lUahS/H5XK0aVSeVwXHwsPCYuEz2h8luI/hFHi dwlbxE9TnKm4RDhefLriYqGr+AzFx4TTxWfX5Jzniy9UXCr0Ep+r+KRwhvgc xSeEs8TnKT4lnCe+QPGfwjni8xWfFi4Qf0RxmXCkeBOhIqzT9ZtCnTBN1w8I tcJAYYDwosanKt4vdBZe1vUKYaUwWdf9heOE13T9b+ElYZUjuWuFN/yMUF5T 4V/igxQvF17xvVdrco46R+YYovufE14Xv1DxUcVnhGbiBwsfig9TvFJYLb7B z+ObhmvsKuEt8U3C28J6YbMjudfo/tXCRvGtwjvO3eZI7mjd/5L37n3hXefW O5J7ve5fJ7wnvkvY7twGR3Jv0v0bhR3i/xF2Opd1esFrOkb3bxF2i+8X9jj3 Xo1NEfbW5Dfv8/0DItfiv+IHKjb3mhyq+KlIPaKxRdYlGkNraO6USK3NsCb/ rviwdYs2Z1qH6HeW9YYeZ1uH6G6O13KN1x0dos251h56nGdNosH53kc0iBbv t9ZWWJ9oHK2jM9bkWaGDeFvr9QFrbaXX7CVrDh2tst6qe/O+1/Rl5w2wdlf6 N69Zc1W9cn1SpEZrvJ/13t9XrVF0jB7r/Js3rTW+/UrXUp3XY701t9Za4xo9 bvBv3vC9Nc7bZP2hx83+TVWLVW1utf7Q47aaRi1vdu67/u7tNY21xDvutdYa fG+X9dfadYSGdlpraA6t7fc1mm3wmu6x7vZ5jr3OuS9SoyXyHhr8n9DSHkO9 d1I8wvvYzDplLjT7kfPRKJp9UGhh/aLdW6z9aj01+PkVz8f8+CSeh/dN9LtU 64VnMH+N95f8wyLrh9oBzfzNbRQ/7VpqF1lXzIEGW/m3Fyke4rnaCwf5G3hf 6o737xhZhy3seS3921bWF3yE4p32n+Z+LvPwXq2j0efa+R1Yv46e8zbhYuF5 j3fwWvC+baJxvvaek/c/yt9wrOtueU32gk7+Ld90tN/3mMg6pAan+nq5666z axbUuh6ned7nxLu4TuH0iC5+T3wHP2KfT4jkiz3G9SKvz4leI+ZlHnoQPoV/ TXc82b89NdLLqv4Fn+HIPTyO3K7m+Bp+R263SL7EY908D2vR1nvUPdIT8UG8 D0/ED/G3cyM9rkfkOP5IbnfPyVgP/7ZnpIfim8Sezp/j66qvnhmNPf3saPRT 7pE738/GV8nt5RzehXF8Fl3095q3sA7RZu9IL6ZOiL2dv9D1Q+30ieRLPdbH +fg1Hk1u30i+zGN9nU9/xt/J7RfJn/FYP+fjsdRPeB1Zr5ne5/7e6wV+P751 sOIdkWcA7l/inAZ7E70SX8ffX3EcaH6pOfm3R17DGbvMOYD+wRyrzF93HGT+ WXNyx0Zewxkb7BxAb2COOvPVjkPMh5qTyzcNNWfsCucAeglzrDN/y3GY+efN yR0XeQ1n7AvOAfQb5thgvtFxuPkXzckdH3kNZ2yEcwA9iTk2m29xfVFD1MuL XnfqFT8b6d9yvhrlfEDfYo5t5u85jja/1pxczsvXmjP2ZecAejNz1JvvcLze /Cvm5E6IvIYzdoNzdlg/9f6ma/wsxm6yrm42J/frkddwxr7qHEB/Qo/0HfgH Hhtjfqs5uXdHXsMZ+5pz0PXt1ifaHGuNoYtx3l9qBo9u6n0e7/0a6fdnzefZ O/AM/AOORx2vv1F+EOktixRvLLmmFyqeX7KGfyEMKOn5Pxe/uGT99lY8u6QX bBSej/SVHhrrVtJ7lvBdJdelRvHjSE+/W3x1ZB+7RLxfSS+YqLgmskdx3uD8 QB8u5vRu4n0epzdPMacX0ZPoQ4+w1yV19qHwl8hzwU7huch+/Bj7VXLvH2ed S657C8XmJfvDIYotS/aMwxRbl+wH1ykutKZvEH/UurxZfLG1NUx8RqS/DBV/ KNKD+db+/t7BivWRntxH/KeRnnmR+M8ivXG0+PzIOuTbOB/TY6/S+MxI3xkp Pjey5o8T71yyl5yk2KVkTzhNsWvJ/e+k2KFkHzpSsV3J/nSW4hkle8B6YVdk n0ATE1wvOxT/Zr2NUO7sSM/a673g7Edvp8dX/Xuyv/Ee5T8VeZb5FnOU7NdP iK+L3OdvCBsi+/47ii+Ez0nCbyLPVZuEX7pGNis+GXl2m6L5lkaed7YK34w8 O2wRnhUOF77N/pfs+38QX+v6oQ6OLVkL3xVvW7Jff0/8iJL9+jtos6S//Vj8 9JK98kfip5asKfatb8m9+6H4iSV78U/EzyzZN9nn80ru9X72sOSa7Rb+FHl2 ezByrVnnBeirpP+ypvzNwzlquuIVJX2i1uP4ba11wtlsUqQHVf1noveKmsR3 dtujJnn9H0ZHJf1mO3seeR6cJQwv2dvmCaNK+g3PmepnsYd1nmcPWog8Xw5U 7geRNXqZ+L7IcyHvO83fspL3ijxrDiq5Ll2cN83fN0e4uqT//T6yftDVHYqX lnwHvKe7/ed3wviS8/PMcSXnY+xyj6P3XtZ8z5L7yp7iE29HegXvPrbk+x9Y Urvotk1JTaCH30a+xyfnYfGPrFvq7wTX4J2KKyLP6csj/Yj5Ty6pFXRSKVkD n/y/qKS20NUB4s1KnpXws22RntaqpKbR8zkldYbG8NomJf0Wnz7XXo0HnGIf wNsOtr89HVmf1Cb+d5A98I/CZPF7FH8V6d34dvuSdUKNdCxZJ9TIXyM9l3fD Y46yz+Axh9tn8NFD7aW/jvR9PP+Ykv874ww8qeSzeW6Il5J/A9CXLnBvGkMt Rvbg26jRyD6Kp9Ob6cvLIn0BT8AXa+2N+P0Ee/5dJT2FGvk//Zmjbw== "]], Polygon[CompressedData[" 1:eJwtlfmPzlcUxl/z3lOx1G6MdaYtipSiTSlDirGr0bEWpR1L1TJDGWuQ+kX6 JyCWtBXVvdYy1Da6aVpqV6S1hK4SSiWaxufJOT983nOe773fe+/33ufc97HS 8pKynEwmsxASvMPPWqgLDeAXuAlNYWs2k7lKvAa1YQ/6XeI6qAcN4QzMsExm CnEx3IEr0AhawgW4AbnwgPfPEcvoP4u4FM7DPHQ5cRmchMnoscQKOAEvo4uJ 8+Fw8jVrrdXhJdo2EetDfziafI1aWw04C7Po8zpxCZyGaejJxEXQifxp6KGx Wd8pYil6AnEhXIQqaBJ7tBdm0j49+Zj7YA56ZvJvakbeHLqSf8l4PxBHogfq O/UM5qLLkn/zGu0DejnxPv0PEY/Et+XG3F/Ft2gNTembB/uzPscT5I/DAfRz 6FbkLc3nfhbdmryNedtBnuWTF5i36Z125E+at3XnWXvyDub5IZ59TfwGakIe dKTtKfM27dn7cB0ehRz4GzZDY2gB3TQ3HKF/b/Rq+E37BAXwjNYChcn7XEo+ Z154rJC2nlBF2wvon2AieiRxAdyG76BWeO7X8LC8q2fd6fu8+dwa4zhxDHoo 8U34QueILk3u4ffiG1rEGl+kbTi0JT+W9bXfCW+rvSttXcy9Uxhe2E+cndwT 081rRLXxKrxh7kl5cSpMQH9OHAUlsAL9HzELK+Et8xpS7azSGOYelTfHaRz0 YnPvzEWPNa8Z1cqw8NqB5G3y3HjzPdTejYBXzGuuItbwB/wFzZNfEONo/zT6 DodJ6O0x9xh4Db1TZ6KxYSB6EBTpHFlTX/J+0Fc+Rg8mHyLPor9FP2Jew6rd DjCUfBi01rnSPkBt5u8WRa0cJFrympltfqfoLpkRZ7kn9lZnOhW9O/Z+EoxG fxx7MyR5LVfGu6rpcvM7aVmc4Shzz8grg+QR8ztkUXzzBzo3ng1IXuMfxRwa Wx67DD9CfvI76l95M3mt5Me7H8bYGkO1cxdaJa+h7+Gf8Jru4D+T11BBnFEx 729Uv6x7tAK9IbyqPWyMzoXOye+M/4lb4mxVs71UG+a1dZT2+eTrY+91RvJi dfOzkSdv6dvN7zLNuSM8oLPXnXkPfoc68Q2NaGsI+7K+hj6ay3wueeKBztHc 6xp/W3hM3tJ/wCfhQXlP/wGfJa8Z1YrugLchodvHnGY+psbSsxx0FtqR79Wd QF5bdxi6El2XvI553oln9cjrm+da867wkLyj/4ya5DXMx9IY1cgz5v+NmuPn 5DW7Kjz6EOlb1Mo= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGmYjmUU/izfeZKSyJKtGY0lSQjZQkJjCVlG0p/0M6V9X22zYBjGzkSD GPuWdazZtxnb2CUlSyJLlpTu+zq3y/y4r/N8533e532ec5/7nPf9Ynv37fJ2 wUgk0qdAJFIItp9FIsuBKdFI5BTwU9TH14EtwDRgMq73DpHISYyvAZuBqcBf wEbge+AKsAnIBG4CW4HpQBT37oadDfwLbAdmAP8A24AfgDvADmAmUAjzd8HO AgpgvBM2C1gDrAbSgAB/DuwcoCjG82HnAfuBRcAgYC+wABgA7AMWAgOBg8CP QDJwAFgMJAJFsE4u7FzgELAUSAFOANnAcOAYsBJIBY4Ay4EhwFFgBTAUOAws AwYDx4FVwDCgNtZ/2vyZZ4G1wAigInwVgHSM28GOhh0PVME4DpiAcQfY9sB6 jLubX88AYjGOAcZg3AM2AXjJnENy0l8xnqHzbhJvA8VbpuKzWTwPEm/kJEn8 T1d8toufFHGVpTPuFFeMw25xwvjkKJY8e674YQwfwP72iJsHzXkiN7uUI4xh MXPOyGVxxWwJUMKcP3LzMMZ54rKkOWeM+0PmeUBeHzHngzzlaQ2eqy388cA6 jEuZc0n+yphzTM7KY3xOXCUqDrz3UfOcYC7GiAtyFi8eOSZX5HJc1PmYCDtW cZ+qOPcXR4w/ec4Q7+eBDcDkqPNJvidpXqbWSNa5k7TWNO0xSWdMFDdZ4iVZ OZAizNT1VPE1TPNmKf5JyoFkXZsr7hIV10Hax0Lti9xSg2n6vUDnG65rabpn ke5LEYfJ2scy+WYrh1J1z2qt0clcL+na3wrtl/NWyjdEPA/WPdna+8viebTi t0l7KGuuz2xxsll77AZ/R2mN/GzUmX6Luq76a91Vej5jvyVfjmxV/Bj7ndoX Y789X+x3aJ+MfY7WY+x36SyMd67OUQN7eUI6qQX7lPKb/GxTDGvC96Tdq3N7 tWfGe5/OS072aP+lzWvWSuXLAe2/Lvx18ukqT2chVwf1LMb4sPZfD3OfkSYb wj4rvTWArZ9Pk4d09sbwNZLeWsA2FwdNYZvYvTp6RHHj/o4qJoz3McW8GeY+ J61SL38A/cTlccWTuXNCMWTf+iXq9Zb2Z43X6toIcUuO2fv+jHov5LglnvO8 NH9acxjDDXo2n8sawVqRrjXPanxRY67/O3Am6rq+oHs5rmpe6yfo+gX5uZ9L Uc9B5uzVqOcpOb+tnGJuXo56XjPvbikvmMt/R+/l5o2o5yZz8L+o5yDz635z fTJPC5rnIHMzYp6/zMfC5rpknt5nnpvUqJnnL/tyOfN487ysmzxzJ9XDkVG3 FdWnKmnM+LQy/80xfY9pDhGjWjpa99M3Xn7GqrJ5/6Of9nH5W5tfo5+/4+ze fbGakyH/d8qFX8VRnLigv405N5zP+hGv/VBb1CP1RB1Sj9RZNdjqupf9q6b0 yB5XQ/rlb+qUGmWfqiUts6/Vk47Y72qr5xF8Z2DNpRapTeqV86g7apR9sK40 S51Rd9Qre2IDaZCapDapRWqLGqSO2fsaS4/UGTVI/bE+NJUeqTFqjVpkP20o jbNXNpMGWUtbSMvsjy2lF4LayVaMXzCPM+dR+6ukm1bKAfLfWtxR88w76p2c VFNsmQvxyquu5vWdvZY9l+9Jo8RV23xz2sv/iuYyH7rJzx7Nes8+PVZ529lc x+t1jX72cM5hL+a7Vkfdy/100v47a8zndtHe+Nx2GjN/aHmNOcXnd823f+7p 7jO7af2e5vu++x5Am6F1ump97itB12l76N52uvfuGXvonN3lH6/1EzSHvp4a U09tlP/k7aI0kqA5XKMuvgnqBOd/KNAoOIejgObBOUtiTpnzzG+IKeY1dyDs fPO8eB3+ceY1dQRzL/jz32EuBddMLyDLvN7O4t41fx1sova3hFoxr9NrzL9t WMP7Mj+D63YM8868Z4yEHa6YN8P1dHPNN8R4iHlt6oXxa8CLjDvwavCaQd8A c/9SYJl5/W4Cf5p5DVqsGsH3ihz8/tq8th+ihsxr9xuYP8m8N6fADlLuDYMd rDx5F7ZVUK3hdfM+tJr8mPcr7utN8731gf1SebjA/PuNMacvWf63YL9S/uTy XOY9ir5U+RmbaYrPTNhsxZ/7ytTe5sDONu+XC8UT5/BM83SuT5nPwevIZ8y3 4Pr/hFoIXnfeB+KD17gPqIngNe495mHwOsjnL9T6/Gb9Vvwyd/YoH74xjzXj /AVs/eD96SOgY/A6+DHQOXgd/BDoELxufk5dBK9Z+4D95j2YucYc5fr1uK/g dW6iOX884yXmoPl3bXXmfvAaXJP5G7zWnmK+m/fmGszH4DU1jvkevJbfAm6a fxOXhK9E8G/TC+TZvMdfh71h3stPknPz7/JSmFs6eF+/DFwxf1e4BnvV/Pu7 Kq5XCd5z7nAN8+/sPOCA+Tf9Gdiz5u8NlTC3YvCeVos5GLw/xFDrwfvYba5t /t5QGb7Y4H2sHOMU/JuvLGyZ4N/rFWDLB++NBhuCv2ecZl6b//dQm5wH7zNH gSPm/zEUZ5yCv4sU5drB30WKcb3g/w0U4fXg/z0cB06Yvz8VgK9g8Hed88A5 8/8qCsNXKPh/D/8DZlxk/g== "]], Polygon[CompressedData[" 1:eJw1lnf0j1Ucx79+PJ9LRmZC0Y/sETIjxA8plX7tUyHtRXufU9E+jdNQnVMn CZXZMBINochs70ERocyMrF7v8376433e789zn+fe+9zPusXDRpQOLyoUCmNA ObA4CoUmqVCoDr+TFQpfwPeAl9ELwAvoqeB39N+gJu8eDiry7A3sHfDFYCl6 P1iCbsF4Tfhd7K/hL8Er6C3gU3QzxmvAs7FXwh2w68AfYO+E/wUH0RPBn+h1 4FX0brAQXZ/3q8DTsQfDv4Ad6E8yv7sR7Mn8zXfon8B29DjwM3o1+Ac9HmyV Du/99cx7/RZszbznTegtYC/6NfBDeE7NtQ38hv4D7EJPABeivw+PfSygj2K/ h8IztEe4IXZVeCb2Ivho7GrwLOzt4T1pL/vAXPRzYBN6I1gTXlNr7QTV+fZK 7M/RFeQTMA2Mki9BZcavwP4MneCy2JfBK7DLwuWxL4dXYmfwWK2tNbBXg0qM HwKmoiM8V1Xs8vmcD8Bvhd+dl3muisnvas5J8ORwLI0EdRh7Mby3SvC98ns4 tsZm3vtMnWnmf6imswPTMq85BtwP1mCvkk/QPRhvAvdTnIBu2A3hvuBSUAa7 CF7O+yvg9oph+H3s2fDz4C/0+sxnWUv/nJ9pJ/RD6A3oenARdgFMzjznJWAf KIBlPJulPArPtQ4MUe6EfbUIHMj3pL2UgQ9LzinlktYcD7pg14dLlDfgI7CZ 8T7w3dpXeG7l6Dz0h+GzW5vZt8H35XIfJ3QGpmR+9h6YGPaFYmo5ui3jtTWW +d/KJceG/nEp3Aq7FjwH+9TkHFbudoabY58GuoRz/iKdpXJYuQ66JvtEvmgA uif7TL5qFP72lvBcmuNqcD7P+of9Oyc/k5LcB70Ym6+YQzeHT8AeEdYtQL3k Z9KVwYNhH9bLz7Az+rF8L0eC47CfyvdSDAZjXwuP5t2Bege7D2gVrjk90c/C zUBTxW24Rqg26J+PZ3x0PtY4/O11cMvwHAvAEcl7e1v1An0N+mn0AHgY2BbO /SWgHePngF7hmD0Pfaf+G/QGZ2Ivg+dqbfgs7NvDugc4O9nH8m1P+JjkdzQm n2vuO8JjWmMUuAvUVVzxTcfkGq3arGe7wzVatfkAaM34GaC7Yhmcjr4V7qqz BW/mMazYVc4OZfwJxTS6FB6C/Ui4dgyCByX3EPUOzXFs8j/rX9UjtNZtcLfw mucm57RyWWfSMnkPWlsxW5ocw4pdfaOzapO8V51Z72SfyBfyUVPsU0CncI/a kMe0Ylk9ZVU4p5XL6iFr0UPB4sw94Mk8phRLqkGPh/+5NI+pb8I9Qr1BPWZC HnOKtfmZa5Fqvmq9atLmPCYUC+pBP4Z7nnqdetoM9PRw7qtmqlZXSa71qtl7 wjVKtUk9dS/6YLj2TMpcW2sk9w7V2F/DPVK9UT31mXBMK5ZVY6eAC8DCzHeC 4Yrd//ee+SzWh3u1zmRcOMYH5D6vjb5KcZH5DqFe81I419VzTmb8JvkddAAn JvdM9cp2cEnyHUC9vzXcH/sGxTVoCwYm32l0l+kY9uXNYS2fNtJeQPtwz22c vKbW0h3opOSerF6sPfTFvj68VhvQIPmZtHq65roxvDfN+XAe04pl5bTuRrvC uaI70qPhGqTaoxrfL/mOoLuB/uG+cI/TefTPz/qr8N1JZ65aXiG5V6umFyef gf5dd4r9YR/Lt+pJqpV1k3utauZ/lhtNDQ== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt01VTVWEUgOGt2GIHtmBgd+eP4JJLfwDeAzYIKljYWKiAYmGgYiJ2omIX JoIY2IH1nMGLZ971rW/OPrPnzImaMjUmrk4QBBfpSGjuyjS+8o1rDHKRrIP1 u/7gOkOc5+pQ/ak13OAXKfzmCsPdF4Ser8uC2i9aLnX1oDbSldpQV2ljPaxN dY020UwN1yPaQtdpc12vLfWottUN2kY3ajs9Fno3zdIOukk76fHQu+oW7aLZ 2k2LtIdu1Sjdpj21WHtrnvbS7Rqtp3SA7tL+ulsH6kt9xgsWMcnuuU7WJF3I HvaSz2VOM8b9GR2rT/UJ/cx9mWNOZwd9nHfqpf+/32jnkxqpudpdc/QEE8yz tYzHPGIzne1naRoPeUCEXXtmmhdwn3u0tmvFDPN87nKHtTSzn663ucVNVlPI RHeHtIGu0DCtTz1GccFupM7TEVqqf/nDMOdUPcsBSsjgKks5z37OsYR9LGa8 z40j0fyZL3zgEx9J4B3vqeItb4inkteUU8ErqokNav8j/wCT+m2z "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{320, 319, 323, 839, 830, 831, 829, 833, 832, 722, 835, 836, 834, 838, 837, 723, 841, 842, 840, 844, 843, 724, 793, 905, 777, 828, 752, 826, 751, 827, 721, 322, 321, 320}], Line[CompressedData[" 1:eJwl0+VSVGEAx+GzgDF2YIyNYrcSYqN+BRFRQQV17QLsxo5RFFQMsJsrwCvw DuzCwI4ZFTsfxg/P/N73f3Zmd2bnxITz0nNDQRBUcjUiCDJcPuorFkcGQU8W sZDzvLSf0x4sYD5neWE/o92Zx1xO89x+Srsxh9mc5Jn9hHYlzCzKqLKXaiwz mcFxntqPaRdyyOYoT+xHtDPTmUYJj+2HNYapZHGIR/aD2olMplBMpb1IOzKZ SRzgoX2/diCDiRTywL5P25NKCnu5b2+t9blEPdKYwHg+eJ6uDbhMQz7Zemlv +nDDfYlWa1/tx2vnmyx1zqU/A3hju0Wecz4DGcRb222WOX/WwRpHPHfcL2oj vjgv16+6QhtzgTa05bt9pX7Td9xllftqEkikKVdoQjt++Mxa/aVr9Ke+5x7r 3H/rEE2iOeU0YwN/PFuvf3WjRlNAwCZCbKYFW4lgC5FsoyU7iGI7tdhJK3ZT m13UYQ91a/4/3xVPAok1v40khjKM4YxgJKMYTTJjGMs44oglmiiqvUdVXOca FZRTRiEF5BMO/X/v/gGMwWmk "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0tsy1WEcx+F3tZakEtKGEMqmrdBGkk37TnMJLoAr0GlSiUpNZ5rRZkUp m+oODGm6g0bSDCqjkAORZ8bBM5/f/zvzP3vzG5rqGyMhhMe8jIYQJzMWwghT jPOVj/xmlD9MMM80N/jJL37wjBWes8onvvOCOeIs8ZkvdHEtIYSNJPLP93V9 os26rAka46Z7hr8s8pRZullgjEm+0ULwT4T/7qhuoNWdpJvZxFa2cMu+TVNI Jo1UbtvTdQfb2cVO7tgzNJPdZLGHNnuO7iWbPHK5a9+n+8mnkALa7cV6gCIO cZAO+xE9ymGOUcI9e5mWU8oJjnPffkorOEklp3lgr9KznKGGajrtdXqOWi5w nof2S3qZi1zlCo/sw97HB97zjiEGGaCft7yhj9e8opee6Pr7WgOtcUmh "]], Line[CompressedData[" 1:eJwl0skuGEAAx+ERXLxFH4eijZbat6oWLVX7kuDiGWopCTdb7V21pdaDpvY9 jQPi0IiDBBHxJQ6/fPOfZG7zIL8sqTQihNCq91EhLEWGsKwVbWhHBzrUkU71 X+e60JVudKsY7zu1qAUdqDE6hA72ak7N9jxnta8Gu509mlGT/ZvTOtGuWtzt 8Z9+qd5u47Fqnev0Tj/tt/zBcu6wjFN8w+8s5TZf8xuL+ZUl3GIRv/AlP/MV N1nITyzgJF9wg885wTyOM5/rzOUYsznKHK4xiyPM4DAzucp0fmQqh5jGFT7j IJM5wBT+5VP2M4l9fMI/rOEZH7Obj3jNRCaoWl12Fa8Yz4eq1Ae7gpeMY2z0 /Z+4A7I1V0o= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0tdXz3Ecx/FP0i97ZZVVRhLKvJeVkZBV55iVeSFCETf4C1zjP5Ccgws3 5ZhRuMgso6yQWUZ2D8fF4zy/r/fd93u+SflFOdujQgiVVMWEcIRTbIuEMCg2 hMH0ZyAD2OreT+PoTV/6sMW9p/aiGz3ozmb3LtqVGGKJsMk9WjsT6EQUG93/ 8Jef/OYXhXznB19p5xsFfOYLn2ijlXw+8JG3vOcdG3hDC8285hXrecFLnvKc Z6yjkSYe8YTHrKWBh9ynnges4S73qOMOt1nNCco5SiUHOcchqjjPac5wlpNU cPzfe/o2xzReE7jgeYYWaYYOYSgX7Zm6Q2fpMIZzyZ6tO3WOjiCRy/ZcLdZM TWIkV+x5ukvn6yhGc9VeoLt1oY4hmWo7S/foIh1LCtfsbC3RxTqOVK7bS7RU l+p4JlBj5+heXaYTSaPWXq77dIWmM4kb9kot01U6mSnctHN1v+bpVKZxy56u B/Rw5P8/3wE1WGL5 "]], Line[{1646, 1432, 1436, 1437, 1438, 1439, 1576, 1686, 1855, 1685, 1853, 1684, 1854, 1703, 1852, 1682, 1850, 1681, 1851, 1702, 1849, 1677, 1847, 1676, 1848, 1700, 1722, 1672, 1846, 1671, 1729, 1698, 1712, 1669, 1695, 1668, 1884, 1883, 1643, 1882, 1694, 1704, 1697, 1890, 1696, 1713, 1670, 1674, 1887, 1673, 1661, 1644, 1885, 1699, 1675, 1679, 1888, 1678, 1662, 1645, 1886, 1701, 1680, 1683, 1646}], Line[{1718, 1511, 1626, 1745, 1663, 1744, 1664, 1746, 1689, 1889, 1690, 1707, 1706, 1627, 1714, 1725, 1705, 1724, 1687, 1723, 1688, 1720, 1719, 1718}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c8Fd7/x5E09CkroqxQVlEkRfdFUlYZWQ3KyIqQ2TCyVWggQiIzQrKy kpm9qew9773WTVL87u97/jjn8TyPcx7nfd5nvN8vflN7nVt0NDQ0nNTq/1uZ jDOyI19m0Z/RKXI97BcajQ0uB2zOgit4gtWW4xdq1TzUzG3mUNiyctHMkIIx f+euEz1z2JRfszR8t4LOr9otHSfmIfZYvceecQVfvXYUHoqch+qLbq2Me8tg 4VzUOLo6D+/rjkZ2xCU8LF/smjAkIif6u5GIxRK09uUyqZYQ0bfbQcVkbBEB IknHL/OQoKDzLPud+SKKhLhMZYxIeKfXwfCAfRGXXO4HGMaScCszQz+rfgHt MiX0RX0kfKVknj3suYCIndUCl/eTcWNVt6xNagGZDtWMwtfIMGxPbz3STe0f 9Ao9/ICMDUOp3LKnZAjbclVJx5DBrle0veUcGe/o+801S8iICC5wufqPBE7D 4SNufWQ896qsNy4gYV7xWuXBKTKKTxO9vlDt4FXeQ9+2RIaT4+QpCV8SxkWM yJ4bZPDR5td+sCYhkq7VFZtkOFg07d5pRQLN/8oCLP5XSODRMzh/k8rJ2X/6 K81JkCeFhFRQ+VA6gxmvGQnXwsqmohkWEO9XG56pSsJbSiOL864FyI5WSKpI kuCt37NLk2UBKwccty2xk+DV6mKlLbCA61K3Voubidib56tzVXoBizLvCih+ RCw7nX1trbyAoOBru97IEyHj8HKXl/4CVtd2NGevzMNXMz6mxH0Bf31a7TZv zeNs35mzu2MWkKr22q7m+xz+89cScClbwD3rYNVxjTls0firQBpawMMRqb+o nMXi7Xf33OgWUaV9a7lMdhZJoaECJViEdPG/gcYLM8jSlRE64LEIgvzmfOSV aVR81ex6XLyI39mGNml2U8glUoIpq4tIVMq/G+47iS3GMtdVTizhc/p9nbXX Exj5c7PF9u4SfFc8Tnh9GkeCtOyjprYlGDGmeDy8OIbJuSaa3UeXIcA+pe8/ PYKg2ymtacHLSH7N1T3uO4wDR9OGKKPLMDBMsjAiDKJhz1DC4VMryHn1wTPO uQ+doY/a8GQFZ3zvHEPGd5SoNt2m+76CnbY11nvHu2GXLRAywU2BA+NdJcuD nRCVDb+1cZWCwUD9MePbbbgf2eLy0YsC9mifJ6EszXh/RNqxKY6CcZv3xHeW 9Xg7Vh3TQ2UnruvFChb1cLQ4VjNM5STHPU8HzOtRnXSPOEvlpj/VpvfN6oGQ ODYKlZUVPAgcpvUI3h13epPKLk2yvHk36/Fv52U/1jcU2O4pmiUa1aMs37X+ MJXftKs2HL5WjwHfbTvlqXzbcqnMxLAexrofXm6NpyC2g+1Vunw9mCJitZup bD4/eG2Nrx7xWgWKL99ScINRg1t7az0eVvSaGCRQMBfmNZ8z8w3JEflcMWkU cAz8WZTtrcMpNkXwZVNw8V6FxfFvtfi07S7PYB4FarpWoROlNbigo9Xf+JkC fWGR5Lj8aoRkMjwcLqNAcJg2LS23CpaSoz/lKikotfnk7apYCRV9IdnX1RQ8 yRn8wN9XAd7IXPIQleNkLjXcoP0CMbuj1kvU8S3KwZc0LUqxY6K9t6icgh/C In1sU59hH/CUibuIAsO7TV0x/oUQvssk+SaDAjnBOq6Q53kosDB49Pk1BTMn mQSGej/C6TUd49VgCgSWfly5E5gNTbo0frIzBeEZSuSIvAwo1m9zCDCiIJs0 HZF/Mg3Z/Jm6skoUKGYaR29hSkaCu6Dv4UMUSBYLOtrKJWJdw2vdi4GCv+AR 07aLh0r6UUeX8RWkL0lfbfjzGsLqNFzZJSvwL3+TPPIuEocbmR/5P1uBQY+4 4ArxBU4TJey1zFYgGm9e/y4sDApWay23pFcQkHLPylLhMW6Rm2fY6Vfg+kjv W3eTP5gfF7lndSzD4gTX5eq9PogjpPrav12GXHgAqfSfB5L0np9SM1nG5TV9 37YaNxhwaeuF8y9Da6t9vmzfXfzXO5ERM7KE+1mhD14u24GZNyj5TcISXt1d rDvTZQmxmusvW0yWcEqdKTF00xSEsPAl7YNLuFh/T6jOyBjCpJB756n/Npun vDFZ1xBil9R+VCYt4mvTI7b5p5expXlO6rvFIkiG3zlZfDTR4ZZ28aXIImKH 5ffRu6nCvuR6mNDYAnaxBPclLysh+hstU3bcAn5v0rhUmgPeVS53Za4sgOOG uhpTsywuOTkkftm7gPxP897hmVJYE6/bHZ1CRlpQT3SngQQUzdjZSgTISGed DYtjFsHf479IY4kk7D+52VDHLwhHDsGAXbwkmPtkHVbex4cLwfJsxnFEpFt1 nVb7zolxuczGDm4idCMPRKb3sOEgnZig+dt5KIglf5UbYoI8XTMzo9A8WKpz m6fvMMKqb8vRiow57HuvczPSnAFeb5l7HkjP4WH2XrvfV+igr1UWzxc6i3ax sdiT3euEsDmGwc9zM2CkKTvooUwh8NbktUtenMFp3fe1NiYLBFm7/r47udPI 8ZTLELWZIbQ0RcYa7Z9Gjcv2lMa+McJy4Mz2qcApaIVmn51XGCLMlkVpjrZM wsEr5ET4kV5C2/m/ok/2TyKxwsDs/M12wqlDAlfy7SZwak+fma5+AyHB2rv7 RM04Ls0/4f8pVk3gUnf6Pso/jlrmz6LdJ74QPLIpI7uOjeHXUb6kIft8QvMT 0iM39VFkuLJdfCqQRahsD9eIdRhB2qvP9duSkglp5us71+OHccHERkUqO57w QTth4XjuEJr+HVM8lvyKICK81CFNM4i8uEPvLys/J9wxOL1oe6sfwfqdmjZt wYRLSSz+ccM/kcrj8nAj35fwd4WmKtrhB25cl9kpUOhJ+GGxtnSO7TveL5/Y TLnlTjCSdPr39nQPsq2JWurb7xLQt/WDiX8XWNjc3CcybxOUOL6Kpkh34szr e0yr+RaE8l5WMe+1dnx1yzKwYzYjbMuKcw/paENqarWzs85NQgzfyumtHq3I OjCg7+5yndCUVVKh496MhfSMXz64Qui5kNBVHt4ITQG1UuEqfcL53wYlr4S/ YSBPxdFW/zJhfO5DpbBIDbatyFjtVNUm3HTx8VwJqoRTblQlp7QWQXolu09E vgK7/omTRLM0Cd/jrvAMOpSC8Vm8ffYuLUK56ZS5xUwRxgaJnKfqtAg8fTxZ OzvycUcljqWZQYdw4cERrW85uUixePlIXFqXMHzFMsGZLgfmYUfciKoGBMFz +10O2WWA3zfxmaPXNQJ7xNDJnZ6pmMg9kaj+4ibhlLJbrBlvEjiD1C8d1TUn SDmtb96TT0DH0c2POtrWhDSxVq39gXG4pCjauLlgT3AsSAnkNoqCriQpv+ud C6F2PePiZa5w6B+SLdws9SDwGESSNCKfwTAIC+cy/QgMd9kI1248gQ9X5Lct W0MIOb8HaAciAvBCbGhvcWA4ISSuJvZjog9uJJOST52JIxTzCTwvqfCE1ln1 U+zkJEIHpWn/9I17qHw3eeXP/izCFdcZYnW9Mz4yuGte2F5AEArgth7Y5ghh sW0HEsUrCDtDFpnfT93Gf7dHJcNb6wgCNHUSHv0WuC75QTngWTuBIqXAXVBs ipt7Xm0UUn4QgkIYT6jnGEPql6QdQWaMINdcbnJP8ApydJjEL7nPExJK78kb ROsicFYg3o+bQqjbyF1yO6iFklAOur0CtAj7o9jx57wqjl8897e6lxE6J6wK TZqVQPQ2EvBMZIe3Wo0j03bgduF4goz1QaQ0DRgJ6MjC6Dnb7bhfR0A5E5U5 zCyFXjG5L0VmsmDUXGjeUJXEXiULzvRSBbzW5zlU1SMG3kk+Iu3aeTz7qhLv 1HwYO5x590sHaeJJUMH7P0RBZLw+llPgrotoGcUlJ5uDiG/j4IkOv4o9NPZK nSf5UG53UEFR0QQiKd69Q1EHsGZ+xNLQwgIWWyo/fwInOM/eOLjGYocfKvEb 2/rY8S9XWu3JiiPkLz7mOF3EBpmjB4P0xF2hsNc1lLudBQE+gvTiNx8gmadm RZKPGUFD8uq0E94g6v5Z41Lcg2xC57Ludz+E91q/y4nZhTNPVD6cyA/GDduh WhuVnWCGWQ9DThia1A2nXBW2o6BhM3yP30t0Djt6dngwgDbRLK6LPgpCkaUq J9fpYf9rb1Ar9R7Gj3nq7sjbAtvkthsO/Iko/80R695JhwsO6ylZ5snYvcQY 4L2XDtJ69mwvZdKRJFQrpfiSFkLxdx+lN2RCaWvm4+2HaHHsJx8rrW0O/D/Q 8fM100DAbkF/W0EuQq4fD5oIpMF4momHh1o+FJZGZOr1aBArnV9QJlkEEdl/ PiGnafDBunGjursYiywejFliNKgt2XbnckkZYjrem1KEabBqcbu26G4Fticx PD9xnAYT3eJBv8Uq8bhmhnjhAg28jxhJHWashhO/H/1/VjToefL3UB1zLbYp zNTXx9Egk0GzqzHjG6QGziakjtHAZfxJ3pJXI4IcPSejTtFidxpX7cvQFmhk C7XFxdOi/U6TqctcG1SkAn2rqft3PPZEwj2jAzR5PyREYunAx7/c+ob6D94I 0ZD6dXwL3sYpkj3demB8/mbzM9IWcL8JuKZS/J2q8wrvSX2hh19WivFV5j7Y fznywTB5Kya2Ez+Guw7gr3PV1hcJDAgs40o/OTaE0YTfJUF528DPbLHGLjyC He6z/BuD29FfTXtS4tooAnIqJJr4d0Izl0bMK3AM76Qu8k96MOL+4U1aUvo4 3AyrXV0F/sOZHdsnHIYn0B8zc7NmbjdKDklIi9JPodu9rlPLlgmUH5lnF1im Icz4r3SLKzOMf+977cw4g7E2VTHmcBZoD94LkyLOoGXmcERqHSum14YrDItm 8Z8rv94elr24xjz6MM5uDuvxTygZzuzolf7vkdDueRzbOhT7b4EDKnuXnY1i 5rF83CA2MYgTsQ+Urw+wE3FEMffglTP7waDqKKDlQ4TxKJGNlpkbSs+dnt0c IuLel6173mzlxU9bbfUMCRJUfe7UZYbywdhD7mq+MwlJt5yjBkf5YS7OJxr9 mYQgEdePRy4LgJdv2vLnEgn7fhW/7hoRREr2zKjGQTIUxSQ7zzw/hG8K7UcC VMn4VcMasM1cGFcYhBlGrckYN97+cpuRKFJlF8mBftQ8JjqOpOkljnZFCyXH 12Q8i+c3lWo5ivKIcVH7TDJsrk0YJqdIgm7jvKokVbc6X4rbd4bmOHbyaw8o 15EhF393at1FCmn1y9rC7WRsjSvl4Xc/ga+WRx4zU3Xt+ZR77l7ZJ5Fs4DVb PEoGd1fbwZf8p3G3w201YZqMUxP/eqy75PH718ECYSJV98Y+a/7YAmQc8g6I WSDjcmk978QTRZANDJtOLJNRNd/eMntNCTspZ2OFKGRkVkhe3NBXhseljB9P fpEh8aFMbc3/AlSjLoQGrZIR1LD/qShJFa2tl40lf5NxZFPz5+0IDfT2PON8 SeUa8YzjktS88deL7dWlVD5mmpBXb6SN2FAu8wIq57UUfcwXvAy1la+JAVTm Z+pptwrUw81tlqUHqGz3u1pUSsYQHGJdbL7U9Srlvp8IPX0NGZIlhaVUe25Y DB3mjzfG2n9HPzdQ7ZX6sHJ8+aQJHo3+e565QoaBcME3USMzpHaRTW9S9zep 8bJ946QF7pWLJ8QukqlxiWfJz9Made4heaFkMqp7ybcjFezQXNLVf4Tqrwya qUDJbw4o/cxuZT9LxvUB8yFjRSec1TB4dX6KjOVrSl5L5a7QLjgj1kL1f3ll 9X+XB+9jVOLsqO8AGQyzz22+lHoBov3sZ3vJsPXNZbhS7gPRFzsY+lvJUJX7 vmYjEIB2LfmXB6jnvUyrJBYm9Bg19EnV1aVkhOjlNjCMhELYRJEcnEPGvg+7 5ELkXoDtG30oayIZRXNM/Q8DI5AWLZH0+xkZFt1bFutJ0VgVOb2V6T4ZF+qs n7vIxeP5MZ53FsZUf4TZvGtpToT9e98/f+XJMCfrJ0u8S0EFk5lPLBsZcXsZ dcsJGTB7Q+RuHCOhzffT9WazHLwweW5ZkkbCQsEBPo6CTzjHteWfrAkJxzlD o1M+FqLhy6ph2E4SCmobSj+6lmKzQDDcOoEIbnf3qdqwL+gUjIrSuE4EkXOf toHnVxSepljt30PEwMmHSi2mVagMnfLoLZqHw/X1jJx7NSB1KX26YTiPE6ut /p/q6pBXfHnRZn4O1Vf0Sju0G5DnxZ37yGkOTq6v1JZfNYHp+4UQ261zIDqv 2u76rxVyotcMHJ7OIuLioe49P9sQ/eCa6Y1ts7hgGaHEptIBlbN64ZPOM3ic rPPf1oBOFO1aub62NI3cw4OivL1dSM5hkNCxmEbVnFrodvkelM1v7qI0T2FN 5uh29fxe1D38XdMoPIV2Hfvjghvf8f19lpNgxCSqRrQ8TfR+YuaYQRzn6gRk cv3W14v7kEwpLuu7OAGeL1O/vxwdQM/7tK1PosbRWWI6iJxBVJ28rH+yZwyL n+V+bhCHcGo5Yu9XyTEED1bdrY4eBudv7vbGR6NwEuJ8w6wwgg/P7aoavo2g nfT+wu2ZEUjEhNRIbB1BvjOdpGTEKDy5Hx+zlxmGTJJtXyT3GNY/d+77yz6E DeGTXZ4pY1BjvZwnlTsAv26WB5ckxqGyL0xamNAPLr030eqF40g0Hd+MKf4J 99dRBgcEJuAiQPlQ5v4Db6d+smuETECEw6RkSfw7Tp83xGnKBDxZgk7d7e3B J9nEcLGrkxiUOLIS796Nx0zlI8olk+BkZF3ax9yFk1fVWJ9wTEFBaGdzZUIH TFcUD3y+MYXK4K+mDrfbMfrVf2HLuyksy5zPDzjWBu/XzzyeD0+hZ+zTSbvZ ZlS9/vnFjmMazazfzyzbN6IvVWb74/PTWDc+/0Bm9Rv6v7h1lNlOw9FAqdHb rxajQ4Lrn3ymcXJjQKqysBqu0fuT3F9M42LRZPvD5UoULZrwe8VMQ0lhYOjU 6a8w2MfqLx83ja/3Iosvc38BzVvV0l9R0xhpF1Bee1QKK949PIZh03Drorzn 2PyM3Rcl94h4TyMisFH46atCpMSGrsvfnsbAz3dq2y/lY+nlLRkXrWlYVzQE /Bb8hNbSvyVVEtT1Puuw2/B8hH/YlYy/tNOwO57pzvXzA3b6dxT8653CgLVU 9LnU9wiQ+xwhkk6Ns/+8Um3zU9FzMGq80GUK5Tf86Y/TJ6Oq/fcD0pkpeNEG tqm9SITjthAPXrop7IjQ3xlp9BbRyn+rUionMXtvk8WxNhYemjSUSa9JDDuR T/siGnrHWZ3On56El7L4t1SeSMw22tqIL03A9LdXWNy1l1gtaeW5EDWBTJLb Nw7XZ+AunIyhk59AmdrU6PDfJ5BKJtbXkMbx/d8Pv6ueQVjW79JJfzsOqZ83 dZzu+uMjbU4ORXsckZY6kQ8bfZAi8yJtjm4cpNMRN/8+9IZn7i676k9jMLb6 ++326kP8uMz496P5GGJeuh2/8OAe7mz3lL24cwz1nK5NITtdYXvel8k5ZxRH 09+Fih5wwi+uhWhdg1Es2Rwki8c6QFuyM5dtcwQaOh5dssu2ePA94GBn6gju /u2TPaJhjQ6rrIQ07RFcW5COnRK1QGiWG1l5eBglUqSaq+mmCF4qqd3vOIya wl0D9BE3EGn+6dRZ+mFw7XvENtp/FWGjGvefS1HfkdGN1YhVfTwQUtvnYDYI UaXVC82ll6HsuXbpcBT1fROP/Ge9Sxt88aO3uAr6sZ+9Z6yG4SLIboqTmj/7 oEEcWrw9qIKBqHOJefR9qPGTfDjjoAzLppF6iRM/4VdLK+QTfRbqLDuckm7/ wIboP2U9OQUcLRZoXUr9DqXzB96LesmjUY6Na22mF1zuUZSLwqdwGoIs1tM9 GBi48VJa6wTiQ4ePPljsxrnI3Ttu4jjObfKINNJ3w9xS9fbBZxIYLXqlRuHv QmSnoOHFZ2K40xhg/kqlE+WxtDT96sJwvMLhrO3eAf71ivKqGCFY2xoy1ua0 Y2jwlCGvqQDOrS4eu1HXhmye4IiIw/y4PH0mcLyzFRo1673cn3mg+9hTukGi BSHHvtIvtu+Hnrkyo2pCE9hP5d3yd+HEJ8Ff5iqHG3GE98V8QBAHNBJD6Moq 6mGYzrjJ+msv3Nxpci5m1SGpxjyIexcbpiqn57xqa+DJA6n72SyIO7u/dXZr NVY8XXobK5jRU7B/h411Jd6rsDxsF2XGgWDSxD5SBfqerHQrDDHhw0E65piD XzAdGLensosJa74NHEE7S5FmHlEfzMWM1eN2uyUVP8PbdGi0tZAZF6+xmFWW F2AzVP5xayYLDrRwvZB+mIdiu1tfsMEKlv9ulh91ykXz++WvW/L3gj/5C8+f uBysFpoVSw1y4JfpxJO4gUzY2b/wPRa7H8dr9RN9WdJx4BY5UO0sH35qxLzR qEvGQyZVhzNOAtR70VAiMpeItlX1lbqIw3A03R3jY/8W646zRatkcUSUiZ/X D4tFnRpt2FHyMfgNMport0ehwzGeLchOBm+19cKWwsOxkmd5VD2CgJWJ3F+J rM/hol7mOc+ujLephKyhq09Bc7JsgHjtIno1aXrmwgJhtOqQvvJKF595ZDwa XvvCs7yqPpfFCP9E3uxyMfBG7o5surdvzZHRnF8c1/IQ+0LlNyTtbTAVnj73 9M49vOvLE/ZbdcDS7V+zr71cMVnHFf6i1QWh56P8ElecMKX+ZTOJ+SGS/1jV ylU6glDTKODP6oPEzAuVu8vssfhDbe2GeiDmOliE6XxssZXdpuEpQyi2xfGc 7W20hqjQCoeS+kuw2vwL8PazRPQx34NvvkXhunGVzoeEWyA9uvNDvCUe3PZs qbJW5ogbcv00pPkO4Q6SIaZmZmBe7hJOs02FrEOQHcszUwg023mEGGei23tH +1t6Uzzdt7/rQXQOnpV8FmCIMkH8XGWw6K1PKE6yHuVTNYF8cX1H1psC9ExH Cq6xm6DcYl14VKcYIRNGZ8ppTLAc0DxXFFqOb+E6Q9VbTWAr4rBxPfsrzBSk svyFTECm3xw+ZFmNNuNjrTR2JshS4VFd3vkNcyl5XqPFJqgRZv89xNkIj93k +3rcpuh7Hr5iYd8CFc43S8FUPvJa6ROrYwtSPdjty6ls2y7lU3G3BTvPGC4s UdmX/paJnXMLhgzNXA/zmEKZpleLy7UFkR0naa9T2ep5sFadWwuiNZ34aqh8 LPWOA/+DFkRMdOoc5TVFabdO+wPPFki9vRL1ispFXtJOPY9awDf8yrZIwBT7 uTlL7rxrQcLY05Lhw6YoX+oz5qtpQX2ejT+TuCkYPzYbzE224JO9RcMFSVPw CP9+07q9FVH5d4R2XTdF4rVzFc8l28A6mdxS9tgUHbQMV1+PtKH5hOwl41JT jJikf7z9qh1Rko9iyAum+Mkqlj6r3YGTEmk8zsJm0PZqqfnF1InzypMv3HzN QFf7IbCD0AX/2bEinwkzWL3Z4LN17UYUBi2SLpkjwJpTbEthD9av/1shlpuD 3yRnX/FmL450Kyg5ydxCA0PAwCvNH+C6HMmgEnsL/b3X/pwx+4ktcpzGZAYL uLHLQeF+H3JP3bV1c7WAUPnvt+sv+1FbOONInrUAz2dx89rsAfgzsrRamlti h/7rlMWmQXjf1Yp02mIFowaK30nOYXRK140+f2+FUnoavpbGYSRqNOnOXrHG s0ZF/hCPEeyWy76TymyDj0T/g9+OjKL2Fmv8r3YbCNFGhnzvG4Xvb3ON7TG3 sf1m1RovVZ/P+qd1tEXYoqXGDSaXxqHxvMU8Ic4OI0+t/m3smUAVb+f1/tw7 cA7uv3q8cQKRxHzX2W57mE2oOOhQ475OU+L9OF8HpNSJBHSLTSFCoXA8QcAR 6ioWF7XbpuCptVxSOOuIVz+qlTmCprFNOI9lsPQuCF5f1RelZrAjq/hZ8Gsn LOFkXEPnDBQizSVk/JwhpydoXGo5ixdVifct77uAU4g3nmFhFuuJA91pHq7I ttuiuIOq79n3fK0JCXWDyJj01jNDc/j28IV5cq87bj7giuLXm4f4vNVeFen7 eLB90zygfB4ifYs5D5If4Ierp/GVA0QM9+Tc1Bf3wNHUxoYn9kRIntljsVnv iT5WSh/jZyLGXhuv9sIbL7VXe7+sEcG623n9yuFHGHqvl+BznIST28TMVCx9 8HtEcvWJIwl1QoXKp7/4wjBl0k4ihYR0oehHU5L+8PxYfOdHOwl8MYFnRcoD ECjk2dxAIaFV97byX6sgnN/0nuViJSPWafSCr9RjPL+6XFcsSoZ8gUryDr6n kDimkeJ+hozxiiJBhmOh+JLpU7pFg4zT5jE7s42egaZcNeS4IRkdBCZp/fLn eCBnu2R6kwzdOJaHX+VfgufcVNThW9T5rfQeNn3heNtvw/vLgozDeZwGm7GR 4N3rnSRG5dkn/p0WflHYOHI8hcmMjJG3pj3V4a+xg3xGsd+IjD/3rQS82mMh zks/XqBP1f8cvev8ffGInFDaqqVORsMNGqejMQkQCe78cIJq7597lvatLu8Q pqSZ6ChOHR82QeHwSYad76Fn6/vIcDeUiDtYk4r0gnTVEjoy2to7rz459x7N e7vVHs+QoCc0uO0BwweQddbTpJtJKDmbzaS5NQf1LQfaqz6Q4Kj3TXsj6yOM T2WV5Dym+n8jdV3e7xOaP/d0JZqREFC9Pn4lOB9NXkrbpWVJiOZ3zdpWVQjd mEdV5G0k9H+/ctlMphgGDPIp2h1EPKRct/4zXYp9Wqr9VZFELCRrGwn/VwEm 4+6WcE0ibozqf49v/4prUmTh8c15nDv6zORUbRWKirm1klLmYd0ZUh9HroHE tdKPCWfn4eslfbBW5xvKGEY7H3bMoVicMXdlpQGB4ysn3unO4bA42xku1yaI ZEYI5jLOgfmzhd8NxhZIRv3o5yifxf8BY0Jtsw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c419/7x2X7SAhllISM0JCd9+tpltIQshIZETJTiEipjKRBKpuGrIgQ EbIrRFay93zbb7uf7+/+51yP6zr3dc49zvO6z15LZ93L1FRUVC1bqKj+tzJf EnSzP7SAz2eiREzDFqEpZyV8zG0Buhcomt5fF9Df2OT7PGMB9ax0tmVMCxDh v8EmNb6Ar6ZLMwkm82A45r1AJ7aI7IdJwe5Zc/CX7u/cdXkRlOM5bW9Y5vDo jDWNY+IiZDI4DDKdZvGHbX3XTPciirr5bPl+z4A71cr/Lx0F4csNqkweM9jJ p9HTKkHBTQmR0Yt8MzjMwfS+9xwF487MR2lKp3H6o+/hJQ8KfpaP6A3YTsOM escnnlgK3tMYuk2yToPHIfOfVBYFTuPxWrnVZAipbJzTKKfgyvO37TvdyHD9 umBv2kpBaGwUaZWPjAmZ54w3xiiI5d2rZVo5BXNRz27rGQo+KpeU2r6bwhuP ib96S5v+iYZMdwOnEPAwcF3tHwUK6hOT6XZTiG3I903YZAaDJ8L/XZkC1f/b Emz+36ZwLdnd32yTG80jisusp5DU9Y+6aJOvaU7t3WM1hXTJAdZ0hiWsiS0f M9bYPJ9RXSFm2xLy7bITEvdNIfX4Y89QriXE342iXqWfAg6D+73UEgjvlNWJ 6EloyH6qN1ZZgphDYrmE9iQont7X/tNbgv0tN6265QkM/03OLbi8BPPKBzK/ kidwaILhpL3nEgKLAs4cNpoA1V4R7sqYJdjJ5oeu5Y3jvPX8Ib5vSzBIj+vZ yTOO75/KCmxGlkD/o935qvcY2gYM09+wLEPHUOXlQNco9J5c+vlbehm8cblk B/VRfO33j1T3WIZX8EnKvMgITtvXVxkVLiNM0E3enmUYWpbKt5c3lkFOtUqy WxyE2ZvsiwxqKyj1eCQX2zuAH//ah80DVvCPeKFeUteP8V/KYx0VK7BQeiLx vKgPUof7j3jxrGLqhq6Zj2kvJoNvf+61X8VGKMunyNVu3A2+dTvk8yq8Oy/t 2aHeidAIb/cG2jWk+5wTZ3r8B+ZFHDnD2mvY7SCfld7fioYt2iadoWsI6leh ZVdphtizsoLAmjWwmLzfopHcCLefvp2Zq2vY0+JQ06bQgKO/g26Y71qH0t3c gK6GH+CMPCkjJ7+Oo+09HEanaxDA48cceXwdDuFX9J+8qUSlc6Sytd46snQZ XmXtLMeek1YrQibrYDuhUFjzrhTuOtsNLlxYR1BuW6hGTjEojUHnwg3WMbUQ Xc5nUwBLv0wVG+1N//UMmzOOuXirKSR0W3EdFVLNeksNH/GtpoJpTmQdc/rX w26fyIQI1+NAdbZ1mLdf40xbTUWr0c622wtrKKD5zvvy7zuYW3sa/2xZQwLz 64e7ZF5DMcOJxixnDcwtBVcVNuKhdLJX1vPRGljTOhQS7KJRYl4p73R5DT+D jdZ3xEfC6eBcyyvFNcz32KYlhj5Dyn+PS0yZ18BnEuecyf8YTyPbxbZ3rMJc /ObSO99giIXgMNf7VTwxeKhilH8PYu8FtD5fXwXN7cYqvkp/7F0NCj6huoqQ UBqFOpZbiHTd3RGzsoIeeheucwo3QH3j5Oha2QpcOA68iGF0w0ZahfF68Aqe qAsZBx13RASj3Itq3RW4J9iHna22xa/jXvG3eVdA+XiPzvS8Fa6nBPKq9i1D zbQ9RsvDHFwNpWYCKctI2CBu0icZQ24g1OiQ2zLuDaSnmIzp47avbYe51DKa y0uq7LV1IGjrZ0E7uoQvqs/4R91OYMvREHepN0tQtynxXR9Xx37WyjtDFkuI iv+xMqMBsAbUNsvvWcKP1ppVv1cKGN5bf060k4K3UyOm1VeOoM35O+PnKAok D1x/JpNzAELc/b2zxhT4vL7cd09dDKIyW5zbuCkwT0g9+U9RCL6TXcH2bYto UtYW8A3lx5ZVpavvXyxCV/TfzhOG3KjhYqkLN17EUacg3SxXDoCljUWSbxHU lgJFxftYEeGfrebUuanfzhOX7WiYYOQ/cV/24QI6nGKCzUqokRH3XURUeQH+ loEzQcQaEdphUYbJeegk/3ZUNFsgBp7sLvOOm4dvfiXvX+VpYjGzwr5Vdx6h ZDWG4JoR4nq528QZhnmYeFXFmVL1E0MkZ7Jm2hy4dwZMXHzVQbwVcF5s150D y5mCy7mSv4lh7hujNKuzOPhif5R/2k/i7gmG4i+vZ0GtT3ticb6CoO1o8Vk/ O4sorng1KqMSYjJaXfPr2gzWRZ3evfTKJ2zAYEsJnEH16pNj4laZhEHS0Rhu 7hnozNgLtEi8JW5mi5LYUqbxzKVq0MA4lijdOLjtBzGN566i7Uy0EYTBJ9an 7mlkPFenehB/OZTonFgYninf1Nm2iwK7G+4Sr1bTTJgHJrGg0fJRbYc34RFz N+4x0yTC6kKt04vcCLOlxFpd2QkEuT47NKdsT0jfntMUth3H2dsKuiORlsRO d15XWb8xECwlSzeOGxORvMFJM7Gj2AjRVvt67Rxx5a0+ZWflCCpv+kbecdci ki5EpNrND2MyYisDg5kq8Un+/PYU8WF02h0Y19+iSNzLryYu+Q4iyFIzkXJF nDhhM/6tZ6YfSq6/bG5z7iaCVvyC5vz7EJA7+5hYZyISBVrvB0n2gvZMlOVZ gwVSnVbx2Wvd3Xh4NJt5kGmO5DPNKOHzrBOSF+NPaj7oIXmLDqc8C/qDeHN6 NqY9VSQ2l/LHkfWtuCT9S7nh1ADplaJw07mLzaA60r/x5uinIiGZ42rWEk2I 1zcPv3K1h/S8udFT+sgvBKp479tq2kuqGOUkR3XWQUHQUl408Sdp2UjsdnXW d/SYKTvVS7aRtmrXTa0xViNenl2pvqqD9M6613u5oxzCMQL/POoaSJLVFTus eMuQHD13n9q6iVROTz/MevUrUiZ/M3on/yKxs2s3S2oW4nOarOTne42kdpPT rIUpeXh3a5uKTEQTKaiyeVEiOAc97TP0iabNJIX/3F3NDLOQ/nxwnuNJG2li z1t+Ya101PAwWoWIdJI82POftuYn4xGXVPhAaS/pVdCHYJ3u1xA8/S1vlGuI VCAmPaoSlwDTcYqn/Oo4KSKHM+FeaQxWumueb6GdJX02LFLT3fMSyarf83fd oZD8ikuWm2UjMDn5+fNO+n+k94YnJqIuPkGTh5tARy0dIaYmdfGp80MEyO0W 35jdRmyZKw/YpvUAhadepHtJ7iCkX6h557PehWKllHQ9lQAxZxO/w0HOD39m ShVblUWJeyuGqSyPvMB6ZOWd6vwhwuJPK7fihDumA7iqclsUiFHf6jGDva7I LJA6qqCqRuyjp/zq3XoVVwNuLHsOnyS2n70Upkqxwa0vmXbRXXpEx2kJmic/ LVFwoHOk3OYiEf7kge4DDjPMLV2bDmuwIVL2vVXrZTHC5CxLaF2BK/H0IrvP iLIePL8olqc/9ybWBo97xVWcgWeOcriozz1iRmFS4Fy0Fj56HjoeXPyYWHzE nfk7Qx0Wzp+c3Xa/InKymKn/egPsTmses+avCQn5pOd69xQwZbJKKJdnEplf nFWYeI6gOp/apORVIdG3zT0o4qsUaPnpvekLK4nKAGnVSxKioNAWaH/KbyTC v6dzZDALIrFZ1Ua6rYs4et95v+KuXXCYJKU8tBslNlTFTBkHuSAtXxBoMT1P qCdGUi9f2o60HhaBt7nrRMgOhinejm2IrL13342LDnMv7r3ZNcwEAenXWwfH WbDbxzdsuZgO8pITmg5HuXBuMpZtVZUaTvbsU8t7+ZES+GjV5P0GMVYzGdZt sQ83SAG8siXLxFY1enlJowNYea8smZqwQLRMP1ydfyCLv7tix/SkZonVvgL3 9lACVUUp6tSPpwi/3fEPXqZr4t3idRH7mDHiQvgTQfb0U0ijbhB/fmiY2Knl tCJM0UWREP3iaYUBYoe6rL4/lzEeKFQNJb3pJYqGWkV4nl8CohwoO8K6iVWN gr7/RqxBUZPcXYi/hMeFn/RCxvaoK1HeVnWunaC1bYvMfOmCoJWeP7sKW4iT 42LM5aPuuMoieanW7Tfh9iPPp8XgJpZZUmdGXRoJvZ5H37LCb4P17tWXjpQG wrUzX6aWNQDDua8MGU7VE4ddx5o/qwfiJ+MfHaa5H0Rf571r9edD4ZPIJarc VUtQPbJNkfn8BApex48/Z6wh7hUrhTHZRmA8fnp3tGMVMeksmHuh6SVS0tUa 9ZgqiWcJ7C+vCsZhV9m7VcW2cuJAhf7iwa+JCJIRPSHf+o0ocOEu7wx5i2iO g15ZB74RzNPqtNepUnB1rdgjKL6MOPnR9rHufDpO7RyJLZIoI34rOzg9PJoF nh1XlO3qS4npsj624h/Z2LtVWU/teSnRmrvd9j5/LoqoT3EIXC0l7nfx8r/M yIdHuenLDzqlhJNVx1CxfyEo9azsyeqb/NlgZ050MbZ/ULlcq1FKVHJmddJR l8LX/wxtr14pcanBwJe+qwxcoZ5HP3mUEoLzz07GnqwA6+Hu+vKMUiL9omeN 60IVPo0KR4wslRKuao4GGj21eDjG68JsUEbYDibZf2OuA00Uk9n+ys149g0z vS1swP5puUD9E9+IYL5HeRceN2LjirJDavc3Ys/uQDreO7/xeMdXequgcmKf uisTz6MWnEv9s7PsWAXhvC+sOTuzDawcNy8IclcSLcI2YZ6Df7DjkUzb9Hol 8bSHd/6YaCf4xGkOZSxVEZ2aNjI+Lt2IPau/MrVZr6qa8Y/hnT3IPGDb8HSt hshzZ3x2oqEXPhnnQUv1nVChaSN9+dqHJ+RapgKOH4SRztMfein96C7hNJRV +EnkFYqTXzwaQJeq8MQWpzri+8+0R4TDID4ttdjnfqonjNXtBMQwhFoVVu2V Bw2EN93ME0emYTi0ahTvD/lFWG1V5/nIMQKSRNe0VmIjUfnsX+kVxlHMmDGE F4c1EZLU45zJhaN4ZVu7Lh7ym0g29NIiXxqD1/v9BQcjmonUiDmju0tjiHap 2u6X0UK0bOm503pnHJr/jfk0trYS5Wr+FXeoJnCQQYl1mr2dWN5YFJZzm8Cg 6mGqlIt/CHHJgwPZbRM4RufzgXOtg2B9cW2KT2MSpgmmf15/6iTMmqpdLydO orz4ZM9SSDdhd3JxvHN+EnPLajmXS3qI8LPOMxXKU9hxMc5npbaXCNqXE6bt PYWP1oYtuUN9xLGf+b/vZ02hSrr1zjvOAULYI4fBs2dzLsldJ5VmDxKfi0zf W3CQcU32gtyO68OEwSKbnR+JjF+XV79bXRglZgtdM9QvkZHTljSVYDdO8PLf 4hnzIeO4487PDEmTRH21/f1b4WTc9MlUCKSbJhqMtAW73pHhcEjmZonuDDEk 42FQlUfGmvGP73KFs0SLWZVwczkZbtndOVNh88TsMMebi7/IYBa+Uf7u6SKh 86VJHR1kvP7QqtVdtUR8N4lQYewno83XI/auzCpxRyHmpvgoGRvMyQf/da4T 9Ft36K1NkrF9kU5T8DIV1H6Z3qiaISOxP6xx8t8WML3uySmbJ0Ng/M/V2FYa dNxn4ThMISPu7meJhG46FDVdluJcJkOX7DI5vIsRB7h6EoNXyJgqHD8xFP4f PuYpnElbJcOHtNgSe5oFpZK9pSFrm3NejMFAmwgbDubQucqvk0GmdAbK1bFD t+lYZMEmJ8cz58QOckBAzuyN+AYZrM/jtCaO7kBTAeMRr032IZ+5eKeNGyP3 6mIyN1mrw/lA4jc+VNQIWTRv8oF34nL36PegXlc2ZHyTTwaniRad34u3r7p3 Lm5yqN8fNfu/QmhJLTzzP+bzNzbRKxXB2fjr2/63v2vF3P/I9v1wVtjO2rLJ p5rcRiq6pHBfcPeJ/E32O5yiFLjrMOzGXfY93WQjklb031dH8CF6JMpqkxls TVmemsvjZ6b8Bd7/+VelZ+d2HsX+qIvNJZvxxVzikr0erYJ47ZiP+pu8Nbpr sumnOu6fjett3MyPaqBM0Ino49AZkwmR3+QUldNsXtWnwFLymdp6M59torma JiHn4HN5S7PFZr61FYZuweo8hqX7B0Q265Eqe7MubrsJWoOuNLzdrNeDlO3a b6rNMeP/6Ubjwma8Mh0/QuMtMd7Wnc2+WV9Dwdezas2XYdG9FkEzS0aSLXfO vkg7LMjQVb0ik3HBL/2I54Yj9C5ZJVRNkMFhuieq8ZkrDnLQ13ps9pMKWS11 5aU7BH225kcMkmH7tpT6yE0P9MQzD/b3klE4OuzFVXoTDT+449I7yXjfnDo6 6uOL0RMnz/a0kSF/7L7Nspk/3nmQim2ayMh6UE9v/P0uqF+M5oj9JIMnJmyx nu4BON1Q+b/+X98umVpRGYwKXX7RfYVkEGu3uOmEwzAzfFmo8wMZeZlerXZ8 T0HVEuZWkEiGiLHJVZVtEdBm7n7g9IyMbTcfDt7xfoHb51tex/iTMev7e0/X jWiMBvU9/Xt1M185kj0hIfF4Ms49la5PBhttrpHa0SSQjylM+yqQISuZM2k2 +xbWLjF8RuxkdPMaJ3qZp4I7NkXauW8KI4N7pM7qZqIv/piMdMoUplZwedI9 G7sO54oX2EwhsX3iG9vBPOyj9nHN49rUG1mZWd7oQmRe+vTdKGcSRrU83f2O JbB+4vJCApNoi69UXREqQ8eHq78LZiYgoVBvyE9fDtx4nnk/agLHJ1cIA+5K sIenLPsfnYCy9FjWiFk1HmxrsvduGEdHppWRYVctJAyoRLmNx/G1TNVWP+on othDGH42jaFRtO61PKUe7Pu2m7SbjSGr/4r7J/zCJYXQdNruUZh7NeSLRzXi zmCxorTeKMxYCuz4WX+DzWRXoVDBCKKH/2xE6zZDcsynk0Z6BGb8BxKK37WA +uDfv0TcMNqbQpkntrVhRkZJcZhqGHo+lskOge1InTvhs3R+COJ6SrmUhj+o 3jdwUaxoEKctFd8oivzFheFiaSHeQew9pX5o6UEnku3qL4hfHYC3QP1g9UIX jOZiPZw+9kO3ykzXX74HcDbS5p3oA5PY33a/xh7odxgsXVXvwy83Dqs7Lr2Q yuPLin3Si3pP93c72ftAH2AzJd/Sg8DWo4EZ2X3w+WR7qpytB3JbUqi3KfWD hefAy9WfXbD/WCdQV9KPXOfqvAmHTkTZ1lYaHB+ARJWSNeNqB5x6uA5O/xjA q9jMPF7vP9CkyTj9QH4QDX6+10SV2iEXWv7gSvwg+q24C73Jrbj/1IEySz+E Dd577vpRLWC9pqLlYD+EoHnabD6iGcd8025SaobQvddlz/W2JtxueLbnlfAw +AP+7jnt0AgHKldpKa9hVEx8GRijNOBCiFyPaeUwVP+RHvxHVY/rMaf/Jv43 Al/XV1rZzD/gzqCdRq00gkY5RubglBoID8c13rAYAR4tXy05XYWWbV/2Bt8c gUtDp6uwawW+bHkreTp0BOWjnA03or+hXSowUvTl5v/4tWutdWMplv2PpJyO GUFSQLIPYV2CzKdy7BzRI9jgV+BM2VKMUleGtf0RI9CZuGyYrlcImwSfhzqB I/jRwGnbXpqPzl17pE5eHwHBWalvejYXzBJbhCcvjMBaXoBz779s7Ga/w7dX eQTyJzj5PzRlYWF2TrufawRO34yjuWI/4JZKU5/W6DCmJJMMjgymYtx1TPN2 7jBq/X3m+XyTYbuycqk2cBilZfpy9gtv4Jgtsf2i4TAUn0SI8CcmgUVo9dE1 wWFoUN6ut9xJwOVzzqk6Y0MY0vK5piMRBzddZ27ShyFQJbloXMyMwijtsev3 XIfwhFPPTjfsBf5LFFJZEhnCINWEsbRBBKi1ePpK2gdx2GTZQzDgKXIn5MUN gwcRr55D+bftMTy6ZiiSioOQ+LoUFdcegt1DrkgbGoBsgl8snVggTq38y5Z9 NoDv+9VenqIEoHh754188QE8S0Le+XB/LAZouTR/7YevQABzTfAtnFvaMf3Z vh+7iyQ7uQq9QL14Ym6Aqx82p7aW0brfQFCn5K57pX3IX+FQZk28BguHvhel jn2wVUg6YyjjipHdLuyFvJv9frHlYZaCE86Ju/k8rO7FWs2vcxpR9kj7rdOj 7dELzcCX40LetnCJoo5eG+8Bm/jw6YwNS5weO6i7atUDcef6O0xLZvB8c/3W SHE3jDP4nwm4GoO25lzIlqIu0J0SWVNkO48OD5pao7JOWK7ODdx+eg7/rpc1 Ttf9hQ91xsLT4NNA/L6rRX0d+Jl/9PsGzQkozQ4c0Ov+g0OH/vLrD2pgeD1f dHCgHc40q8ZbYlSx7VNMKmmuDQEz2SWe8yR8VosM2ftfGwSFDHOSMxVRlrmF pCveiiVr4u6ynByYjQ5bhem0YE1Df9u66RH0MjUNRfo1w7q14jgP9WHMBh7b q/r4Nz71dMyRHKXQReqnyKY2oYxHQPdInjjmXUcDmBsaQbssIMWTJYKHNZfi jTd+QUn9oeKorDB2FhqrFsr+QtQOpevW4oJwTBXLq7vegCz+I4v11wUQ/X5n qINPPf6Gs215y8kPqriu5xOvfkJ6KslHaZAXDvrrV3a3fMfaASKasOJG/c38 u6cla8Elmt9pe2UHrmjJhA1EVcP+oNlEZBsnNKPTLS2EqvCcLOe4EcsBy7jo ZaPSCtCNrESypm3HWgzPd7GCbyiXoEwyxrNDmPG3kXF/KYb8zsr1MbJj+b8r lQ4KJVCwU3Pf3ciG6sni+8/ti7B9UpnKn8wGmegmqQdpBdDU5ZD+YsKOL1y/ qqcP5uP9Qs6uDfbtWL/6YXTy5Sd4hip2bD/OAYmp+D/FJ7ORePcMZ9LE5v3O 6tE3KmWB/+Dd4my2naBV1LSvqczA0Ie88qNVPKBvqDj4xycV7dQ1Oh37d2P+ kpkCS2gy7MdNz6xnCOCdP6vJizNvwOblrXCGXhh7pT4zHfBNxKOprvs0pmJg qJeYVWeJR5zioZjyFSnQ5ybkeHZFYbEjfe+7RGnsTqB4aku/wGolhy/j5hwW M3SxmpYmAjRxc/+SA0m4Mvv+5gGVp9D7fTAzqVoNAte6eotjw0B3OyxER0wL rb6mvMdsQ7DPqoH6vNJZ0DzjPij77cHmOzgd0KypD+/sAsfR2ACUV9WOtziY YKTcdsJl1B+DIjnXmjQt4EslpmAm5ofRt0yOJ97YoKf8Ri7fPm8ozOlcWil1 xKcnsg6tqx4wyJuPFOO/hgSTj8m2pOvIZBNccHvhicGzFz54dbrhphSdlHua HzT+qNqY/3JB/ouUmkdXAiAX2fzoyx4nnOErXdc/G4wSJjY3RkEHhPfVLBYv PIb0Hg1pmugrYHYsyu3oiECXXOnyh/s2qF/aebuAKxqbMuaay3MZFwp6wpSO JkC1BZLbRq2QPaDMucD/Bkd2qAg2TlviVigfT0b7e1Tn52leO2uJPV+NeqQt M3D0e2UjZ70FipwEdQ1/ZyHc5buMrZMFvrS6hF/sz4HX+bnVE5IW4Jmc8Ut3 yIfGkcsj1QwW0Lc9f03Q+wsC6Bif8lBZIE05LD4vrARv1GJDX3JaQETn14E8 6W94PuLI/1PDAleSL/TulazE1nmDC2aPLWAcv3xj/+0aCJ387NvYa4G3dZl+ ol4/8DU1cUxa0xKnqGZFwz7UwzFW4c77JEvovHsaMEL6hX3zr4P2bbOCLfEj xzKvEf8HJVd5BQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF13c8lt//B3A7aSCbNGlIlAZRvYxklZVK9t4VCZURLUJGiIxPyLpl78zb 3nuv7JlRpEjqd33/+t3/XI/n47oe53qfc537nPM6aHRf3ZSKgoKCi5qC4n/X szdttjNQNIHlwJLmdgoyDCl3Ku0kHBFgE7SNsPO9nd93ERY7NldJQ1g6wt95 N+HBWRrt3//KsP7rZtT/nle83dO6SNj4JNLpCW/vybcYJZzua5JCRdhjnuND J+Fcrjetv/81oknzhlA94Z/3pdIWCcu82eCpINxo/FNnlHCNjbdVHeH7Pzkv 9RDOtx15NkK4fzier5Nwo1FtLzVRz+Tm5ecDhL+l3bTfR9hma2ZomvCzxEgz EcKXTLnObRBWDtaXkSV8dZ61l4mop1Ny8bUG4SD1GSlBwhnyXD66hP8LWT2s QPjf7/7U/zmjjZbWjPB0tn+yGuGD1NZFLoSFqahfiBI2oqOK8CK81Re5g5Fw 3e/eMy8Jp2sJzWQT9bIX/ft9j7ALFetRMcKWR3/8kyF8TtVuIu9vGUwziyNp CD/IjGGTJKzRGUCVQ9T7q8fnyfRWGRTWFd1sCf+L93taQVg79HaSAGHO2qd6 5YTXSRWHZv42IuVmUdkc4WXpW1c+EZ4KOeT9v/bWReV7XQj7aKmfqSOcZfjO wIjw43NMoo+IemriRNv1CAsX8oUcI+qv1FfxdiSs1dLwK54w6ZLlZAph90MS S0KUZGwkOtZQE+8/+t3btJjwlUn2VDfCV6t30itQkSFeeNubi+iP/ynqwBrC Ba9+m7QSdi0vvnmcmoyf/4Luh1E2wWchwsiUcGWCJ4MVVRNMqaRk7xNOEFr7 dIy6CUb20+3ShLV3l5zoJXx35p3hENFewMOVixY0TYidnj0nRtir5jxzC2HH RxqJN4l6zgt0cmwSFupIzv/f90mhujM4TtjO9RdNIzE+11KPfb5NOPIIy75D v4nx+inpLE+0/7Dt2XuJn2UYcA+dzyTqizvqDrOVMrTrMf0XSfTvQ2zW+r+l MlgcVsnct9UIgz1kW9uFMlQHLgTr/G4EVd3Z4INfy/BCR6vY6xfhGVUXR8I+ PtaLYz8aoWKR30VeLENI32n2jJVGTJQ96zhHtD94LS8U3xtB9rkoMbFOfC/l lOaeb41gFQ96J0bU/6F9eq8Fcf/Hi6GANBoy4r4cdeFYJeb3HbmyuO1kDHtI 126uNYLlV27OwG4yPKRqG7mJejrZY17/YyEj58KpHFOi/hSLyts5nGSMPj40 Lkn0/1iSP2sbDxm3fbIkPmxvAtXib8Uz+8hQ9d8ppMVIzEe+C1uk/WT0C//M l2JrwvuZn+lUB8i4a7ZBw8vThBj7uFkm4v7W2NTzTweaEBxg2JW+lwynbGOj qKNNuLW3odadnYzHITIbDoJNsG7rCd7aSUbZq7ZCNaEmiBzw01Ql+sf7d/m8 EXGfRpr9+sJYGRjehEvTHWlC/EpesVcZsZ7c/cMywd2EcrlD3M0RZRAqv9C8 ydCEX5u7VxMfl0Eqx/oYE9FflkS9JiuDMvB/8h4Lmm7Ee8PzamvXypCQQPf2 Vnsjfn+iHHWVKoN076khsyJi/MPjfnNLlqG1z6+GIaERcQwdbh8Uy+Af3pKZ /ZZYT64qvHIwKgPbCrv20rNGmJWfln3sVQadZ+b/Qp80YvRAmbVEKvH/WT0m GurQiEJ+nkSr/jIUHNGwdnlIzI+eDwVydGT8UXZXbnBqRPWN+yfXDpHhdrM4 69vTRnRwyZBFpcmg8rkgL/emEUWcip8NjcmQsxRVo49uRMVQLV3USzIYw/1q UnIacYGT9YPSRzJSm912mDUT6xnfNkoVMhkR2+gy9sw3wiuVo6B/kAx/8ndu R2J8vAwrWHavkcGpqaZynhhvp5O5Pyh3lKPY6MtSv0YT2j+xpVXuLUeSGMu7 GtcmlD5bpjU4Xg7FXZt5SGrCnHun2pxwOQyD3Q6adTbh8pmpqKeEvyzfsBX7 24SPp57k3jlajlqZM09djjTjpD3JW5+jHOzCO2LErjWj43OI/d+/ZPiOrRqf uteMLqYd1N+GyTCnEY1i92kGUw29MV8OMV95ghhCYpohqN1+pd6DDIMijsGb Gc2o4faSUJEjgz5C5zxjHuG0qX4bWmJ/+mE6+y29GWUhgW7vjMsgubnCWBne jKKG4q2L6aVosDyRr+PQjN8p45efrZQg+VUdCzua4fNhv0ijSAncngbPjv1q gjnV7vubDsU4vcRVqx9NzCeF6vWLFUVwpve4N3mhCZaCM901vEUwsSh56ljT iDfN681JfoV4Us1wsUy+ES9Vbb/GcBeidNMl51tlA1L2CHvS1n4G3+Y2nTiJ BrBf2fY3PewzZN2fTudm12OTO0V9e/BnxJxSjdl3qh47SSbPmUs+g0enebQr pw6y1R9ibDkKwVK/xpMlWwfbiY/zzxMKcZOfdsJguhZnynR3Gt4tQmqbKl1O Yi3Wwvh+0YkWg20/uZjNqRbSjJwiPkdLYPrOd5XjVi3ko/a+HkUpfHO8X5y7 WguedN7ucPcyBEmmneuSr0VWstDc1EMyWjQsm67q12K57dkP60vloA4RaGrx rsUDE/bWg1wV6H555lFUUy2YrvS9L6GrxD1H7qJO/jqIbNE7KdFUQUzjk697 aB2SU0paGBmrcVk6bhic9WCOk2CUYapB7Q/Krer0ekiHWyvvZa+FDknqe4pe Ax4cp7A6srcOm+8oJ6z5G9F6xWHlEG89sa6r0lwj1qeTkiceM7I0oMDi9T6t TWL9fvfV7+yvBlRkalBqMLSAMfsnOyoaEWa/ZcY204JEWWtO/6tNkPvWs5XX 1oocLqkx95wmKNuShWSN23CqaQeHF30zrMKmD7dPtOGnEWXdXmJeWOqr8xlb tqMoJTy/SaMZZ50b+ERW27F0YXeV8tVm9G0lrMG9A1zqjzvCmJqRK97BtjzT gW2JXhdetTZhx6/FGF7VTnQvpYy4OjWhzd1Ujq+gE+6CFM+rtjWh4hJ7hPT+ LtQE1CY2E//7odfkkMgXXUitjZe9MtIAr5ciXGIzXfDf3/Ef65EGtNr/Tvgt 2w2BEQZFJ416eNLbmfuHdINCWKtOyrMOTWyJhhdGu8Epd7WJIakWisEL89/4 ejBlLrhRkl+D71QT194b9aDAyHA0KL8aDI4ffajCetATLFzESaqCSfSd9wuV PShP/1t32q8SLssFd3ZO9aCsrlf9gGUFgpSexfz51YOuLLZmR9NyuAzHhzBQ 9qLIuU+aQY8MoeKubVb/esB+JwpdpFJ8cqFV0V/pwa2DiYr+YcXw3qboItff AyMKPctO30I0Fp2QisnuQWfYNW1xnwLIkB78Y/PowZMW4YwrYXnQttp55ZlU DxY0DUmnCnJQUW5W++dHN6pz0s60LWUhdWBocyCiG9p5k02GyMS7La5bWee7 YQiO/WOa6SiZoy65WdOFrbXtw673U0A+1r7VotQFkTI9W7cqEn6VnP9ygtQJ CqNyOsHOBJjHy6t5bXZAwKZRbc/lOBisBqW+ku3ATtcsBnmKWNhbzCvXvG5H 8pCpOAtLNJ5VK/lVNrRBI7Y8xnA4EjGdrqJkhjb8mba/RMcejtc6PGpWoS3Q /2y2LkwORd77kN3stU1Q6jSyCjQJQUm9XUARNXF+jQ+m7XkVBIXXXnsfjNXh JZcPLWNZIHrMnm+8+1ID07N2Y+OuATA8fDexf6sK565OsFDd9MdGYSqHrGQl dr8xcQgy84PMoeTnxfHlaHd9kvyF0w8Gr3mNdE6SwRz/mC1L1w+LpldVXn4q Ab/vfe1oIX/oE3vTK/EiuIdcMVmRDcD3v51cXDSf0cjYGvTlUiC+UcfvfUmT j73lh733vHyLzXsDqfvEcsG2fj7Jli8YTpYZOL4jByl5GVKBPiEQ2tVr8WIt Cyy9fU4ZJ0Ih6SvOQPUzE8xHC85d2PEe8pXq51/uyIQgR9We6NMRkGuKpaQ+ l4EZFarrzolREK/qWaGdSMPLiapXKhLR0Imq2KX4ORUdAv0RUb4xuLT/pUt6 YgokjkXKKtN8xLnTRfHqqZ/AvdS9RychDk9Um20N65PRw6S766hTAirvfS3j 3iQh4ov8tUfOSVD19RtznCRBgcEtSaAoCZ2vil7xtJBgrDZPFbeZBJ2GYhv6 AhKK7vWHTF8kITt4Su1SLAne917898ONhKl/P7VZoknYKzw0Hf6ShNaRD7zz USRonH58WcaXBJP41nflESSosX6PX3xLAvspOY/UcBLUH+bpyrwjIfz9/37/ fz0iV/H+VRjxfklngeVIEl6aBNfah5JglCcBWeI9Kf883JRDSDjbHGu7kkDC /hO/vx4PIiFy/EBWTCoJVV4LjHSBJFRoK9HcyCGh+896VI0zCTaFf69l/SJB QuTzyRYzEqKsTWPGJZJh0lnmvledBHMYq0y7J0PLjPtO5iWiniPRKWU1yVDQ KZS9mJkEWvp4CZPhFNio+tr9FUmCBbPDn8d86cg+wXgwqSIRjZ8p7H+0ZqC9 x1Piu34i8oWp+maOZ2GP0XnB9wyJUBzc5isZm40VJfkEs4oE3LVJvgaJXCQZ 5dgc9UyAr4pqlNivPBTq7NmboZkAK4onNAF9BRDZ9W9t8HwCGE/9/pE5Vggv TZJREF8Cch/5S1YnFeN9vYS8J3cC6jcnT3C+KcXTUFH2VM4EnDvhEP5L7n/n CePhP/sSQKorTpS6U46dNT+k7U4m4O3BNr+/Tyqwg403S0WB8IDHqar5SmzV J5NLbRPwdaPV1t2+Gq9knl6p/JiAzKJ3nCNstXDPOEtpPp4AvQo5BsOOOlBR pv5XIJgInr0JdTdIDai1EYhrfJYIuozTavXhTbggYTi0uT8Jv119iyU7W6EL Qf/Pn5JAE6Fr53+hHQ5Tt1dS5UnQrZ1l9Q/vAFVuS9VB4jtp/KB9f3dHF87I vJf4G5IMI+Xrz6IUunHmZceQtdQnvOvVokoJ6EGJNJ9I/MYn5H5w19Qb6cVo HevfudIUtKokU9w8249IqX+aTwNT8e2I5GUmvwG8+bDQkm6XhqMRg51r84PY F5Tb/9AnHfUreGPnOYwyzWpVL50MBJqFaR8/PILhBycj32xl4NnqQGCs7ihM xsk8e0mZOBb545HLkTEMmn566aOfBfuGcPHG+TFIOIlFXziYDa3Fq0bKpHFc mNph4b2UjV+8kwPjBhPo+L0z6+RoDuSHmi/TH56E1fHV22JjuXgnW2+qMDCJ qq7Pnsorefh90F6y+OUU5NziSvaxFmCMM5Ylm28a7E25/wzlPuOR+qe5z3nT OPz0OvsQsW9seC2sBUrMwMVApFx7qgj6lK5uJ7JnwDHUMFOoVoIzBrTD//HO 4nlSLnkjqgwNHy4ci4+fxar4f1DaXQ5PW69MT+Y5/NvRYPDKogIeT+84FhvN Yc4Pba9HKuFWKTcxED4HhtopE2WHaoyOM8g+KpqD2xmtc3MnamFPpaSxq2YO z/fQlL+mrcfthJiaCeL+9lcc251oGjFXfkWT4b85VFoUXeXzbgbviW4ZB+M5 PJBdtS7la8Ntqi53SqY5dFE9qD3+sR15XH5/fn6chdCCT/Fp6U4kVElGce6f xb6BkI9B1N3g2fWt+aP7DFx3Mbm2zvZgdI3vpkrtNAKpDm9srfShy7jkn/z3 KfxOd0kNOjSIlqWfoSJ/JqFhocxO7zSMjdla9gNTE0h8tL9/xG4Ea5RP0ttn x5GUmKOSTB7FE6G4r5wdY+hM61yQ+m8MTyv0s5L6R9HIviki5D6Oz6ypndTh I5jVTI5+bDKB5v2n4jhuDSPswxyDtfwk1H/S/u2fGoDw2KEdYj8n4XZv8/TM RB+0VrIbZT9MQfD0ZrB+bQ/C7n7Kj5KcRvu7VwrpgV2wmP70wb5nGmPd+1Sb iH12v9tjnSXtGbj9bajvaW/FvvjCvCfpMzA4yB2XdaMJUk0luvgxg2t/NsMs uutwldmp7sreWcjrXGuolKiB5HFnGT+xWZx688pqIa0SX7bK5P/KzkLcZHJw 5L9y7NHSZFVUmAVD2NAIk3QZ3kf5dwdIzUL3q0nK8YdF4JurpdopNAujOBEq q+F83ArOMzy4exbdqqtx8a9yoGemct16fgYVFNu4DP9mgp13zIK1dAb0hp8n 5W6kI/OYic7l1zM4fLlcT4ztEwI8btKKXZtB0temB1ZXErGRtRXgsm0Gr5fy KXeNfsSZP/p1aUXTODj89lDZZDRyWhroAi2nUSV351j5+0i4m1dN/GaexgHe zzJ7D4XBNbx0szl3CrX+x7Rs1IIhSaOj+PXmFNInXx/QZwuE5BWICqxO4uts 2QBlvi9Ym9bX1fwmwX1o4RU/nxcMWSjs2I5NQpu9MhZqL3Ac9lJMsRMwCrCk PSHnjirB8v/kRScw/YeGVl/PGVz7z8j2No1DMLdjFw+LE2T2/ozfazwO5+Iu BdcX9gh58MTU7PcYihUXzfcF2uJQrin/ytsxJATs40wTtwGb3SDzN8ExGP+1 Cavjs8ASY9LRl3Wj2MHXPHixyAQLvWPv3SVHISWbcKVwxgClvWfsB5xGcEeM X4uqXhvX3hYFdDh8wZM4S4PfVLehu9yXsM15GLS2k5GhZ28gYceuBx6eQ5gc c/WPPaIKym46TdGIQfz3k2uNR08JnVTP51nzBrA6oGqgrS0Hxluvpulz+rEx kkstHiaDxxZ7JW4U9aHuZI78eKgkSJw8FLmNvWjYEZLLonMRziN0vfOTPXh5 6ohN5wMxSD6Un0ij60HUnZMKUVLnwPRfs1DhqW54ye/z/RMjAprYqrhqoy7k S7ramjieAoNR68uyJ524SPlnYLFUEKnDIsnfIjtAupo2WnHnOG4ffvT2a107 Tlwrq/B9ewRTtaE/Zf+24ZjD0aEueT4wcL/d/f5iGxjPjn8uMD4EsZXVB9Tb WlGt8FB1q/UATrpoc0vFN0OXa6RZfWsfKH0MM+jrG3GRWoPCcY0HbOVSe6IZ GlC1bcvQJowL+zzpDIUs6uA09VpesJwDGsetK36O1CBWlGosSYMdEesp7Ldt q7EaskFLATbcElqNqeGowszuQ9Qudqxo/PVjuZG7AiH+KgnH4ljgKTqUKqBK RseTK92Ct1lwcHsRRY9pCZpbmrTiH7Gg/4XprcOuhUj8fOfu+38seFkqrHXs Sz78rKrJBXOsUOA1KI3wyMVNumetPOJEEn9w0Nl/IAuafm2m559xgsTC1arl mYG0moM7lEJ48MB7+0GVzRT8cZT8ThuxHyIHJXY1WpBwSW7IbMXkEHS63PRl 5RJw5RP3UalcfvQ9XZZt8/oI05LILI6l49CV2Slx/mAM9Ksd/3leF8bbsbM5 BvGREN+tGPvQ6yyuO38tvL0Wip8+cr30GhK4eXeS3mVHMMbbx/U2zaWhLLJg ZFgbgO0CIS9O7VDAGarv4994fInzfckNHiE1RI/tO68b6ImZhfl7fMW3kSc1 pWBW/xwN9zZHL7sa4NzRsP4d+h5gE5iS8DppCrVnPrzfvd1Q9+nkcJ20NRpr Fy/nTz0BtaV+Cn+wHY5U5nnrljhBzyHTKCPHEWHtu0/wUjuAMqz0voKuK/5t P5kglPwA2ZRa9tcpn2NbK++Ab6ItaIXHtR5GecEj/py1B8U9qD4cUGoM9Ye5 7/anR0SscVdC4+g72WDM+JX997bXAorKAX7GFOEYetZ6W2DaDDdITmn5SdFY S5Vlt5oyQ3jt7k8uydEwybSbJk2aQfdRUI9USjQUZtTr5ibM4HqF4fS2tGh0 kGaLjhMWzXUqbEqPxoUbIuWW42Y4ojH64G1mNDJnBZbnRs0wWJwhtS83GnE2 X42tRsxQ9jGwKbkgGgOZ9/Z/HTbDZd1EFrHiaKRQMsdStprh11d7i6mRaJQK emedIZvh6GOpkSHqGFynn7/okWmGpJRBuv3HYvBPWeHkfKwZjvX53E+5FgPL M9NTvjxm8Ctenv1THIvjzRuXh6NM8cUz9foPxTiU7VRqiDhuipI3Eq/J6/GQ 6bpc6VtqgpVD9ZlpdYmgr1L74aRjArrc61onSkiw5tQLOx9vDL8d1+h+eqaB c00sblLGGO3uu4Ys6DPxgslgJnHFCDILt6/bbGWhJKL+b0OJEWZ2iJbcTMlB qOcEq+1bIygJKwVuc8tDAn2uqo2tEbKiVp8kPSzA3A27nLDbRkg+/NHM6G0h 9n0UpuqQM0JHQYKoTn8xlqtpJ72ljJAR6yw/31cKb+5bPyUI/2bU8LR3JkMx fISr96oRuFdX/jsbXo6x+z+rVNSNYJURkCBRX4GOzbG/4cZGePNpJJJyexVW NbYxeT0zQivfQu5EWTVu15/cYvxkhKHJB17iwbVwlhB6cWTYCP0Fys6hr+ph /8E2oZLTGO6+IedVQxvR3lCeNKFrjHPenswONc1ITS9i8Uwxhvn72TOT29tg t/rgliCHCXy35HXWXNtxb3GnzGt/E1SluE4a0nVix9PVfflsprjmx5W4HNOF UxMUfQO+phixC1Ud/9MNwVnpfbK7zPBBfXXgulEvTr0bj2EKNcO/U8MG6219 0I98wqkjYI7TR5IUPeQGIP6vTV6x1hwfnAQbTKsGcbc2h53qngWOeFG9pbs6 DMmaP2Jy0pZ4vRhVGsE+gtWle49Y+a1wnKzELflwFNssL85XsltDmLaEW0Nn DKIi/14VcNiAtzveZbv0OD74jN7QO3YXKloxp5cPT+C1zaEAAYV7uGTq5pJC MYklh/CpiCf3keR85yN97yS6qy4V9N23RcS5brPlwim81QwKunjSDgms2n/f BE+DV08zcmLNDgsT0q3fjWagG5Ydg4YHSBgOV7fmn8U71p1mDcn2UGFTqfAZ nIXvmYcjtGEPcV622eHAyzlMVIq5urx1QF1l3BvBQ/O4yF/5oDzcEQ42Zb5j WfPQ03M4nn7jEbaoVGgyXb6i0Wv9CL/IE3xf5jUTP7GAxZRtj4fEXMAfzlhV Q15AbI/lQpOVG04dEVzrxSJax4ODw0zd0RZozP0neRGylDfDq9M88JjnpH8q zRL2sDind+15DhqpnR2XVJbg2dvW1h30AgZzVUr1vktoPKvxTsHkFTL3z7kJ VS2BGZXrAXpeuOfI+5L52xL+eyzcdv2VN159PPRDa88ytoJk0h1GfEFrHHY1 TnAZf67OtWne88cZp+IkSclllJ7uau3iCcQ2kQqeq8rLqCl5aSsd/RZVzxpF 391ext1rX+QuyQUj6yC3wLTOMtimKvIbWd6hW8qpslpvGdRud7NFt4chmfe3 T7zuMpKKBzRYT4Sj8xLbzOCdZdgduyrVuRQJvZjrDorqyzA1e/yea+sDLuxZ fBont4yUXeMR7WkxaBY7FcsuvgzP1nTtJ74fYfKqiSP3+DLMF6lOiUbGQzPb 3OMp+zIKevdfOTWRiDzppARjimUMBJM+M5kn48PqRVPMLOELv4zTpnAqFtrN ZVoalvDU7fn36IMZkHMoezCavAT3J5WcYl2Z0Gpurj/muQSVtH6GqexstN1R +aukv4TOFx9tBKtzoTGzSTcqsoTqGsuGPzsLIO1bxmtNuYTQ5tchuQGFmPnw w8ioYRGVf39dVn5YArXlg6I+3ouQfveHgecGGYX6VCPnZBaxK+jTJ1aOCmg8 pv3ssroArq8VG2CowiXZ3XZa4QugvJbgxn66BnG9/Hfizy8gz/E/RZ2AOiTt 1uneXvsVnC3Ks5wnG5G1OzaFWvErrpHIZpHzzaDM4P+tWzUP0SuxJ8cftiFl IOvwYeF58Gt7MsZydMAxWWruptcc2C4LjXSNdMIx9e7X1OZZVFTL/Qhs7YbB pOVxnz8zuPnswQsBl17E7vNL/Ss1g+6+RwF7r/Tjo999O0GHaXCRg5NTjw5C XUfCni14Cj9fjYxGHBnG1PpdHffISTitcdNltnzB2Q3SN4+aCejWBO86IzOK 7Y+ULdxGxlGfPRLCSeTcjxKLRYzTY+DQH8ksIK4sFqePX6Mfg4dZo6tb8jha fEVWWfeO4r+vvdanbSdQamt974bUF1A4SOemM02iNfrUaNnbIXxZrE6Sz5iE qeP++cWWATzipqh6f30KV1LsRD6v9cFe2kNxZprIvXpR4w7beqG2+w1vsf40 XL/vOuNm0o0F/9ahvx3TWKio4j2W24nbwz5hK5dnEGkn68qy2Y4FOrE7z2Nm EKHbvhYn1oZLN+c4L6zPgO/Rd6NH403givkQm3F6FgNOrq6cexvgOVhPJhnM 4jSD95MsrVr4xu14dsN1FuOrqsZSZ6oh+N3WyjpwFl6L5iOz7JVg1j+RTBNJ 5Ga9sY6x7eUwyPtnfo4wM/vpJKuDpWDVmP5+iHh+XmQt5LhBIUpcTiczP5lF RzjThcv9eVAZ+NjkdGsWm0ckuo+FZIMpcvAULVEPe+utf0WnMnF/ZirThXoW xWyjbI82U6FfwCG5vWUGd5tUGHw3ScQ8si7eCphBFZZtE4wSIHfo4p1OIk95 1lVwGwl/hI/gzQ4+qhnY0joXHNaLhqnyTobEzGn0vUtbauuIgIWK+s/9OtO4 y88vahMcipbbMvS6VNP4R12zIPo9CDTm3GcF4qeQf3zzuVlfAIY5rRwVZadQ 6IVw6Qe+uGT9R+XBxCT8GqMZHtF5wf3kTuUr7pMQmthx2FTlBTiuXWw/tT6B PZ3X0qzPEPkpSsy/1ncC6tLhfkmnnCEceuFxysEJyE0pOlSNOeLQ1AFvqfxx bP52OPtAzR7ziV7R3dfHMXEr8VClri22247dSpwaQx8Fo6RytzWSfB9GzbiN 4WLT1ih7hTnM+2V2FHON4bBf4zEu4lzyNIUk9SxgFL7cYprabwywraW2Op9h FF2tbIyW+7XBHZCk8otpBGyF1Y8YTW/hHdM6RxHLF2S4uuhejFVHyxLty0re YfSdzHNOvqyCFNdf6fTCQyAlTBUKmSjCveZuqaPcIL6Jq3C7PLyKge8T7BUy A6hU95W/Wi8NUcpRKTWFfsRm9h0ULwRmzZ0Hpm/3YXic5RGZXgL2N+9ul7rf Cy5pL46Yi6IYsTR35PHvwQU9OKjwnYVOVFviqfxuJH2+6UcXfhphawy/xWe6 4M3X7BxAKYwJkRGHus1OUFopREn+EIDfqd72MO5O0Fldnrj96SgkHN4cg0wH JH0+vwv4w4ebRXpFag7tqLWxahytPYRu390XrTLaoEhrE1f74wAOeTjMKc22 QnCK40PZ6D7sePMpQ8m9BcEa53p/3N4L7qXRReGIJswXjNy+fpcLB9LMO/m7 GhD/ivoL6xEOPPnlR3HzeD3EJctWD+qxQfH+/VaK97UgSV6jY91kgX5PF7Pn wRpoezMJvp7bA54O/3K98ioM3uLlOcKzB2WBbbE7iysQGmI981qGGXovjuuw zpEh7qUZNvqFCZguI/F5loJWWTdEdpAJGjy7lET9iuBc3auzIcSM14Mbz01H ClDD+rb+VA8z+PZuCj6xz4OWyAZjV/seBJ7IkS6uz0aoRqzl7HNWFP9Jvrpo m4ns1khelVZ27NtXqz1XmoYOTl5l1xYupJ2LrP7M9QlFCUFUrAm8ODBopWxE 7FeZkvkJ1jIH4WUw/qJ0dzw+pBX4SWjyYRvdwI0LAbGou6ShHyt+DPkmYZYk ng+Q7u5+X2QnDNvX/LLjzOE4/HFJbCz/LKRNo2utB0LQra5gciVRAsceW6ee v/EWTraGZZcSpaG7K4H7VZkf2NzV+L8ZK8Cjzt38Ydtr1KTvHG6zUMOvBAln ncyXeEx9JjGfVhO9PHmWXhTPEWbRm243oAd7EUfe+yR3dAaFjFwfNkafh17v NylXfP9K1guMtcRTClZpiqLHiPId51B4a4sVMbsjaqmOuJ0yucrg4ACpvsnd pgwPsct99ze2dmf02KX151Tb4bXWAvXXHc+Q8nOO2rPhPgRufYv7etYTXieE mSeDbJAY8H3+Zv8bBP5e+3Wq3xKMwcmOpNNB0Nr78Lagnzm0R0qCzqWEIeCt 7YpZkinYuARF3NI/YCjt3i21uyY4NM9bJ46PEH482LfP3BgRw9prY1qJcIqw E8sg8oGj2tH6FaUUPFNNkkukI/LE4bluHv8M+D9K3ffivSFcE6qHEu5kQ6q/ kpZP0RAPaeSaNgLz0MZNovHjMIT3oiHt6pVCeGcVP/1GYQin6ZO+b56WYkYw R/MDrSHI784aCyaW45Cht+sefkM8t80tNdarAs/+sEOJ1oYoNBp7xLBZi4S7 rJ+OfjbE0DX6XRTbG7Hn8vksSR4j7O6i7U3UbYGDEnfmQ8Jt16tJavotmOks zEki3P8g0nfToAVVfRwlQ4QXmX2exhu1wFL7dAPTXiMUbAQ8UzFpwRndbUNX CDevp4ZsmBLtnRTcnkp4YY116LplC8IjpRXYeI1wWKDbKNamBZ9zFSNdCW/f tnj81/0W9LQHLAQfNIIWrU6FRmALEq7f/5jNb4Q7ynyOjVkt0J5lK+8/boTz vzoua3e1QNMwX3abEJG/ltPZaH62YPqSW63pHSOcSGun/cPfhl2V46kkTyPI y7VU1HW3oZpnzb6rwAiML5cpbni34+FGJOXsghGObtpbuRPrzofVE6nTh42x znXd+jRlJ7J5Upf/uhpDKl7lcpFgF1T3f760fcQYiuuHFb4ZdkO0rJ6GVc4E /fFxSmzRPSg8z8V/Ks8Eyn8NHNWne/FhVOeXraApopkHNnLO9CPuoiCd4FtT LB5+lEElP4CVm11+5X9MceJbc1qF/iCR97+TYWOGXWvW7apPhsDxuWExl8jX Zz216KhCh1HHT+VzVssc4++UBvlzv+Dc46NGHOvm+Luz1SVy5yg2aup5f0dZ 4IfjYrh36SjS9hjnUF+zxHnalk/p98fwilJ+RZfKCn5MVSsG+8ch8LHm+bly KzhaD4hvNI1jy/EGRaGXNRiOnzw56DSB5ENBRpHPbXC5SsVHXXISXVmqwxE+ d7E0/63uOPUUapMRwhNzD08e1XqFlE3B9CSLwMuq+6j1qCudfTiNn+Pf7/I5 28IkdWbbu0Mz0PIO6r/HY4d0KrdV4boZXJ/i/iUzYQeqcx1aLz1m8Waej14u 7wEihdtMm4Tm0LYt0Hsp2B6eNPGXllrn4DgT/6jg6UOsb/0Gtek8bp0Z9BFw ckBL9PlOpaV5pDBnPe9wdsSs5l+W4zZfUfUlxu6qnxMid8qks418hf7AnXWu 3kdo7tDSmtNYgGHYsTbbM0+gbTXjIlW6gInmnnOqcc5ouuXydMfeRej+Vk5u FnCFvl3CAbH7i3BYmC1grHMDa/Ayc24B4Y/OpomX3SH2gvGwxcYiju16Q/OV 3wMGDDeaThDndw4Rzb1PTJ8h7h+XtajdErzX+IMpSp6Dp+78uZH4Jezu27Xr nNBLkI6tbfi1L+H8QOGt5cJX8E0TZPVcW0JkS1uGgKkXqsUHPb8QeepZ9X+i 9MLeWK9mYXklsIxVa263dm5f5D1hr1G6tIw++beamwJ+2HAvyf+itAxLtl4X a60AsF71CuHUXAafy2JEa2EgKkOKbqkbLOO0hGnwilgQag2U/uwzXYaS7/S7 673BSObQsv5htozvWYLqfmHvoHpVf0uYsEpmGlvE0zDYZ8YbchsvQ+/ET+lQ /3C86OT8Mk/krxKNSubZxkgoKn6kbri1DKO073YrXR/g7W/2xoKoh7PoqW1F aAzmfoY+ukHU+/3YX226Bx9RulcqI5jIh+mqypyzrvHoyD5Bzce1jFmkS3qQ EzEwaW84R7UMRmXeAhskw+92sFHp3BL4dM0FOyhSwS/Me/5+8xKYnNoTnakz oKTxhWU+dQmFomY+FmmZYIrY5CnxJvJpscC8wMts9FxUmPczXsL1oWzs9c0F zfzI3XXRJeSkM/Nu1uaj+7XBzPNtS5AKPNz1/VIhapLdgz61L+JnoVpb5Gox eszSt3pDFkFX0sosy0LG7QP5Dc+UFxEQpTYR21cOZ+UsvoS/C6D1Z/GSbKlE 5Ir+szPxC9gx8mGmfr0aNxzjLvyUXIBa+pi0hG4dAunVvd60fUUiu+3uAYpG UG82W5mqf0W+4Z2Io3PN0Jw8QZVG5K0CD1OJafM2RJqsKsqenceqElnx/J92 eEqXXLAMmkOm4/CXsOxOzPy3rYZ+dBYOT6bIv/27MaFzT6KGYxb3069fFxHv RcFjr2V2/RlwP70yNvuvD9rWq0JXgqfxR8vvrMPYAHTMNDjUcqcg3XJR/9OX IVS0PaaiI0/iitsZkUDPLzj6TfPBn/kJGKtODFw9MIqd2rYsX2gmcIe1sYeF Zgx8blpyl3eOI2qM+oh5zRjaS0aLzguN4cjXguwDvuPQ+Rap/lxqFBduU44x aEzg+Y3Qm1neX/DAwMJU6OcEeM8MPbIaHEKMruOZyNBJ2Fzk93nJPgi3Nqax 1fNTOB2j5tci0Y9ycwtV544pDN/vu/9KqRfnvnGGf7o2DS/BOJ2EpG7ceYck l/JpGNg97mTd6MSX/XdzRIVn8HY/Q7PO5Q6cnN+63Ro0A/ee6m0NT9qwoT3H 3LEwAzmmHwOXjZtRe7P2sPjxWVDKX3hb5dsAFbZpm2WtWXSHLNa6F9ZCLr+k 0OTxLOgCIq/2e1WDnkl48Kj/LB5JKxtSGFVCfL70j2TELAwv3jyhoViOmyos a5+JvKXzdtderjelkHYJnk9+S+St83M3+PMLkVNTxqvkMouqpv+Oeu7NR6lK +0+aO8R3u+l6AjXZsAw4q9B2ZhY0pIL+EM1MOOmTTXTpZvHESeOWpHgaAtUF RrvbZpDd/fTz6RPJsHaXr/Il+lcsmC/L/TIByeHsdFvKM7h383tC/NWP2FXQ mVhFPQObYL2a0zbRECL9ZI7KmsaFZHlxjEYgzDQ+XI3IW875cdX+70Khcu78 41zKaYjvGJmg/hoE9V+Z+uEfp9DDVeCh0RQAyoSghDrpKVCn3vliou6L29t2 +m6MTOLw06fR1OOeoI5aj+x0noTSyTHlz8de4MDfPu6cHxN4Zi2Rn8Tjjp3l xZYZryfQrEzJ2LjLGVmb9Pe29hHzqps0F1rniF8vRZ5v5ozjopJNbyzswTmT ILWuNI4la+lNDzVbDDw8qXB6ksj5BY9191Vbg+ZwanOP6xgOKTkbsxeYQ86E Z2gXkbce91gJJt4ywZEGo7Bb/qPgfrYRPvrSAN1V9f5s20dh57Zxx3+3NlJZ 9mx07hyBeNlx+/Qbt6C3eYOidvcXSAeNVAgEquP3Lrt3OzmHkXZn7A/XPhXE PhS0jTw2hDubJjNZsorQNDYUM5IcBNdmybXrmldxWTVtZ8PFAZzNCjS3z5LG CudUjqN0PzTOyT/YCAa+r7/0FlDrw4h6UeX+eXGIpN599tGiFywsJ7uuHBZF 72ILd5RXD1RHLIROMJ5FfI1VQXtGN1baJlwVvE4jc9/2yM3RLnQ0feiJmhDC v0Ehx7S1TuyXAc2bQQFUWP04HMfaibOPK7Lb3x3Fi6IHCfcvdaAvvqDI9Csf cc7oPJ54vx0lEbJx9z4fAhUti/JkchtWpR3V/WcPIPdEaKTXcCtUbu+U2Wzc ByEas4NtDi3wujJCg6t7YcYU0f8moAkHPf4M6ehxYccjBweb+gaIi8vQveDi QBJlSGfgvnqEjS5xxtxgI/Zbwzz41cL9v6ww0xUWlOe+de1gr0H7kVQvt/E9 SFvT6SzLq0L5wBJbFNse/Hhr/GokswKifNsHlSWZUXXgToXOCBken0wekIeZ sH7x4uW4h6Xo1/jmeHqICSuki7YJLkW4/8qgg0KEGZuW1cEVLQWwnWqwfzrI jC+jpX7lxnnIUlrszuzfA2mRIxsH87KRMkBh6xrEil6+Pa9DtTLRfFaBkXWe HUxyah4f/dJQJnxUbGudC7uqKR5rziRjd7Eph840L5QF6EMCJJPwLUW7zPfb AcQNXfIvo0tEWES1gA/7ISKP0wv0DMWjq/vXJLPWYfwfY6EuQg== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwt13c4Vu8fB/CMEiIjiazoSxKSQqi3kkISWrKJlEhTSLJXtkQkISHZIyPr ySjjMTKz9x5lheJ3XNfvn+e5Xtd9zvnc43Pu+3P2mVhrmVFu2bLFhfjZ/J8G 88eNjRpYsNbJr2+UQElM8sWmm3l2Ht60rWuuwqYFBZ1kNt297+XYOuEO60Mp m/4YeKlw0+mZF6i2bCnF7bYFxs3rxTyttlAQfnOuKn7TR78FFW467uFr1y1b anEWgxcoCT9X/uBHQdjwr6bXph+PP9amJBxzTc5o0/rCZBoqwjppbj2b9w/E PHu26Ram6L+b8UjTup6b5uLSUtnsj8dpjYjN+3+V6qatEHYvkYncjBevfZVj kXBB1lr6P6I/Q/pstb8Imx0rrV8l/FzWb/umn5+wp/tD+LIJ5epvwlKjTAuL hPe48e35Q5jKzkhk03wjfBKb8S8ze0YvEU79rPZyG2Hq9P0H1wjfeLnxnoEw fXwwabM/ND7U31kJn5RIe7GDsJUR7dTuzfablzJ3E+7/e4mZjbC7TxU3N2Eb rxvndhJ+emK4kY9wqu5Bp62EbY/de7pp+8C+c3NEf/ZlddPuJVz++rNHA+H8 X26Cuwi3P22bzCcsIvw2lo7w48y1xTjCj5dlkjbX684GzelAwta8+8PnCC/y KwQ6ER565EDVT1iLtizVhvCCw8u0ys12OVaNJ4R3G5c3pxIuK+MOCSJ8IVw5 4S1hruEyp2+EA25L+kQSXpnztdgc/0Neat6PhP/U0g8rED7IICVXR9jMyd/A lrC5NI/+Zvy0mwXXIgmbWJmTNsdTNrytMo8wS0F50AXC6YOW4nWE/5x7sdOV MMVoMX8L4S1TzxPzCHe/NXPabDfXmzSe3bxfLcg5jbBOyWdeTopaKPRQTG/G Y7FkbJMgfIqHqlyY8PEocrM4Ydv755m8if5byvo7MRL+FJHLErVOzM+5jMwf xPNGnNmqvvwrQWDDUy8HwqIeJXQ9f0tQc13/4ub8uqwcrGMhLPKVp9CJGM+1 psm/d9dKwHvBds/Ieg22viy/TkPY5oqCBTdh0/nMkeVVYr6fbszo/6sBs0Hf fy5Eu3l3wfWyvzVw+h1rWEg87xmTns0NwgdLn5UkEv3JuBpy0ZDwsSDPG1Gb 789CSFoNYdr35LX9lKVgb7zmpEs8L/+r5AtQEfkZJPtKkIhX9D6NX5eaGK9A YYzI5vpzy3y9tbUU0+NpW28S/bfTYiq7tq0UDPrBfnXE+KPq/5jspilFTtlX 5atUxPwFTyYFE87I9Q2eoybyU9HvRCHhyG1G6t7bamF0idfGibD7hZP6dNtr sev49qctxPNyhcT0lGlr8TaUi6WKiOf2jPHzWbpa5NwJzlcl+qMSf3J4lvCl rO1NxkT/xRMO8InT14KvSYdh832h1Djs8Itox0PR5hZivnR2pu4WInxgmG9m eaEEnHuY1FiIeEXcGbrqUyXIHUj+VEf0b/BDZMibwRKoZcW8MyPGR5d/5GRK ZwmOdslzUa/VgN8mrf5GSwmW9yX8/r1QA5ef3swpjSVQPBAWEzlTgwj/7IA7 hIujrh5xGyPyP2BGzpi4PuK7vu3vwRr0V1oJBnQR70O69FurvhqojbffMR8t QRLnF3/jnhp03fP91LlYgjsczj5HCcuHJDHWE+vBIfXRDcT1DeKn9RgYS0E1 OM1TOVQDo/U3K8c5SsGtwms1M1mDhVzfuLL9pXC5I3359XwNmIasNcmipUBd 4sQQsd49RYfPSEmVooaRciqRphZK9rtPuZ8oxZcSf60E1lpUDgd3nVIsBe36 m4gXfLU40eW88/fZUshHurVMiNZiv7pvBJ9yKUTlTmafkatFREwr+w2iPYSe Nn2rMrGef3m8jU4R+/H1HQ99LhHzV/qQu12mFINs2yL26xPz2xHSlnCoFB0B QR18prV4J1GU2sRVimgqiWdk81pEnz1a4E5bin0tnZxehPdtZExKj5RAX9dD qsiEyCe8vquQXYLMEUbLv9q1OMf15e9rxxJkdXOG/VOpxerU5XbWcyXwG/xx IflYLfaw6MTX7SxBWsXRjYNchC2PrB3oLIa5G+XcAJHv7PUP1nKTi5GkfyDo WWcNjHd7feN3K0bRwi//8ZwaUChkjHKYF+NJfnYMs0cN9mlG/Km6UgytqfH3 HVeI9ffol8/VLcYJpi8XhA7UwLv9zMxth2KoGHfy82+pgZvnSWr3gmKoKjiU XpuoxsV/ptvjF4j4VfkUVh3VUCOtJNvKlyBP/LvuBXI1qtRoM8lBJdiW2ifb /r0aPbkB+rxEvna+6qTsqq1G++Fu51MSxHkwEbGDub0aHqlftZqtiPPjxYD/ rqlqDMis64+kluJs368JUeoanJGOJNuPlcIo80jPXoEaeChKTycIlCG5knJ8 XbkGJA2DOAfDMtQ9duHsfVyDLRJctiMRZVAXsudPSqrB+wq6O5nNZRjMPyEo QuSbaPLjUX96EuJVC80GuGtB5bl++7cMCTs9NfcZ6dXCgTfueaUxCaT8sL3H omuxtVDgwZQbCb537PNbhol8Yn+ogxgSnFvf1YaJ1+HTY0Ov1zkktA8uuKY/ rcN6H6NDZykJ+iqjhw58rMPg6dA/NSQSLubxYry9DncHXLjbiXamlSLpHBoy HghdP1VTQIKACu1nZSkyus7/+PMonYTqNlKArikZa6YpWUlEvL/0BvJH75Kx PLONpzeKhPoYal9KWzJxTkie735Ngoecc2qFMxk+096jcaEkPFgdbnR4QYZU gEvckSASopgM2x75kjFQ9fVHUSAJ1NJVhZZ+ZKSU8z9SJvzNcNTR1J+MnV98 3ZoCSBgN4tHuI/yPh3QrjHAAafGAXgD5//8k1MQdLW8jfMK3OZOP8DvLf1cv BZKhq120Z9ifBGu/l3dUg8hwI719Y0XY+/heg1PBZDxJeRW46EcC22kdMZkQ Mm70By84EP6q2lTe/IaMkvuPexK8SGjYcZPmxgcy/MxcT0a4EuM5fWHvQBoZ 5k6xzZccSbjTpcOvmU9GRdEn02ZbEkriXHN2D5AR0tkmM6pPQoLopKYSbT2+ hJBvBZ8koSmW86ivWD24G8ydyZwkfL6SlhSmWY/U6oXwyN9liFryM2N+UI+D dK7jFJVlOMsyFW0ZWY/fMzo5oY5l0DWa9/laVI9/kpOZr8TKcMbsmSF9ez0e HMvKedZaSpzjI+ry4/Uw/nZYb9KmFKmBah+vzdWj4JNSWwJTKXp4XHLuTtVj beyU92mVEjCn/sq+1lKPt2dXnkrsK8apxbJyu8R6iHFIX7Gf+YLLa988SKb1 EPqjJ/U3txA7n6pz5hDjyXdhnB9wKsAE066nTmFkkLy+j5tr5ePNF7vsHTvJ 2Ku1IB8skYcSC44Pf+/X4c2QwP5/Ap/RFf6BFEuqRX4r7eJHsVwYCdEajxPn 25856b/jV3IQlvSh/vDxGoS0V7+5EJUNjvet/wRvVuPBFM+RQppslKRHKUT5 f8fUPrF7nmFZEJz+HGeU+w0zrk9Vo9WzULXOrbmnvwq62xbrc8WyoKHTq3SI pQp3+7cM2B7PgpauEE+OWiWqX0QUZ93LwlOZP36PQiqgyvD15fPWLKi0nVZu GSuHXaf2DX2rbNx6F/RxTr0cXUM+lBdkchDe/l428fNXTD+2WYRRLlxoYHhS 9it+OfpYzDZ/xnlpHs7UdhIcpkQ6WaLywTSecYv0koTuczSvF0sKEUI79uPQ PRIM9D9fZ1cqBo+2mNNrSxLaGqO0ya9LUb2dQar0BQnv1Y8ylCuTcDvvityD eiLvDXpO6EmUozL/QsYBya+oMb+xlVuqEg8Xt1a3RH9FzOSO2x2U32Cl3l67 /l85Qrss/8jNfsfnQ2mWVZXlkNbPK2pfrsFTq1kxM9cK4OebxVZ2MnI1jtnw 6FfCct1nzHJ/A4r9UkOVr1Shne3UAcdTjdgbnld1xuobtsezfrlv0AQ71sTU px++ozpi+u/84x+47fZ37SplDQJVgmoOujQjQUwuWcalFonXlz53O7SAi7mE yVqIyA/+ieVYw1bYLhjs1o+uh8Hr3JXfVG3YiGVJ+xtOxL1xz5U3sA3Kst/n m60bkXfY81jplnZcMdPbq3m5CaS//yxDtdrhKm/JdPvsD6SrilwIcGlHtqXo /KhSM7aYBmQ2+rVDe9cePgOtFqzoyK3m3G+HGkuRxs47rdgjT+6qEWnHkI1j Uqd/G9wa5dQ689uwGHLkIP+XdvBzNFFNcLRhSUqeRqGwA9UC1iw37rdirYle L6zoJ/hJjc2GCS3ob2g8MlfaCbNuy+36hc3Ed4VjvA2pC2obPF2HU34g2+s/ k1fF3VgvnJeUeNYEe6pIzUT3HtDbWfTss2wExXLLI27FXrhLRUlLnG1A/qfG R4bzveAt2vVmBycZjVKNDntU+tDZo5XLTpyTVcWMY7+c+8Bu/cRg6PJ3WBHV Y1FGH8pV5Eae7K6CZvlwgkBjH6TWE4dVpCuwq27QRXasD5UxbozS175ivTlV 7s9iHxbuqbQ12RP7Re8n1csrfeCx1hQ3Uifqo+/O1ld+9UFx1w4rh6+FEPaW uCnQ3YdlJ77LfEZ5eDQhQMn1pQ9dWukVHOI5OKX2saokrA8c+zxdvCsyQfqn 1U6y6INcc3lXsGc6WrNOHrt8rA/HJHYqVs19Au1k9a6E2V4wzu+4UC2ZhHqq 2ZW3Zr2QlblZo9wRDz8v3oGNuh4Y25QXp/fGEnVSX6PdwR6Y86Veo1d8h8fu p5RHHLrhPml5aXg1EqzyevSHq7qQmWpteWZnOBTcz7vL03chlZWLmSPrJWJ5 itbaVTsRc1r+bmVLEOyjHvV98vyJojQDqV1kf0wbTFtJfO0Aw6VA/WNpPuCh cJa59KMdqM9NkXL2QIrJNuN0hnZU6fYot8W44r2FvyBU2yBgaJoveswZhrt3 6+Z5t4Lu6nTVeU1H6B72oUutbQG2Tzaydthj5B8zYxBrC9js3nJdGX2CElZa qVyDZoQ5zR7aefMxPMR0/uik/sAaau/8Of0Q1SLzR9DQhNINbSq9uXuovtwY JbXaiK4rdclLTHfxKshd48qhRoSHdUpET1mgtev3j9CbDahSyrT/rHULsxfp XEqI8+OAtIDGJeGbGFR0L+AYqYPu+rAUhZ4p8ri27fzpTdT3Ua35wT9NED7J VTW+Uo3kJynHy/WM4VvpcnnU8TuuOdv+ZhM2giLdQMYi+zdwOXLK7DU1QEVK w68j5ZWo4kXF2596ENpjmPDFpQK8x5myvsTrYuBbyHqmVjno6FTdePN1wMgx MChL7E/rG2OHleh1IGgcmtXUVAbyvgaxDPvrEJzIPxfwgqijtFvjNU9cR4Yd 022Hz8X4LtuhKnn+On5oCOn4uH4Bf6+hrW30dZQvTxicsS3AjPyyFUlaByWv 89Vag/PA1pqbUseqi43y5psRDbko3Ef6cuSYHmjFKialPbPR6bDzCZ2GARbN i6pT7TLhmGHwnNrTCDrygs8YY9NxybbG/8dpEyTG1GYsLaag4Jhos5uFKQL6 DscobnyEODV3pxezOeLeqmRcvpYI74n42LsaFmDY5y2utxSPxoLR/j6lu3hp 6W79eiUWoQxD3aykB4iSSfzUfPcdbGKNyoUCnmDIgSVtm98bnLX9/Ghh6hkS 9aP6u0bC0d3DwrYm7gptzbkLVc2hsOFstQ6u9cI9v9jCAcUQ/B12kZrlC8T7 1X9S2vuDIO6bsOU1WygUtVekvf8LwDuzU4pZgxGIYeHSuhrii0MrbMLcYjHQ KK8Jtvzrg+IqFh7/j++hFp3eSJfsjXe+KUPRXYmgPP37onqFF5r37Cj6uPwJ +wsTvnjTeeFGvFBAUnc6lAuPjdHYeUK09t3a+egsBCj612vt9MQPs6AIirpc 0O7pPyle64EntOYbIQ8L8JhjVe51qgfKSzijZ6OJen1+Zr00xwP35fsaLqSV wdxxOmp7vwek2R043fTLYRYmeZ3ysCeEORjnrxtWwfFQyXPrWE/kpubosudV Iz7ScrvSHi8oG/ix/Uqqw8inqaXd8V748Ng0QMGiAU2vrGS3qXiDdXfbL5q9 Tbj9z87uHLUPzi+s/60c/gGv9mdaAm0+iL5mPajwrQWvpgXil8peYB9Di7pr SRuWw4OmjlT4Ykfqr61zVR1YykmNMej3I9bx/QXN7k687RxNYGMPwBr1j6g/ q90osFPsd5MMRNCnmR3zDH0QyHPwphgPxH65FPan3P2wyJLUuPcpCC8XVVa9 hAeQ2hv7SM0xGEfa/5xKEx/Eqa/zpg0eITiQqkLuvzYEJwsayYL3LyG+Wzu3 9/4wPsq7mbS9CoV0WOBBDaUR/LnC9u9F2CuUMBZlaDOMwiQntu9uQhjqvY3k z38fxevzW+X2VYUj08+eocB2DA5adb3qy69RGMBV/mDvOJhPib9LlYkEKTqf 0jZjHDuXGj5S+r6Bgmn+7xXZCex3IM/t+R2FypX+K+p5E/DlKhamJPZZ+uM1 q4KPJrG0fMAu0TIGy+3iJKo/k2i8c5JKPiUWAueVLvSaT+FohzC72rb3KF8K W3ldMQW7kGNkD7t4VF6yOb6DdRo88b+rCrYnQGP43tslzWkcuyhI3ZGTiF4v Da1l12lUTXF0LLl8xDe/aAG3j9OIk3Wk1HjwCQlUg4fGKqdhM6dZp+yRisfD IcmKP6cRMuFzKM8oHRG7huL8hqcRLbb05FRIBkTDzcxejU9DzcxGRqorE9ae /4LoRqdhetr2xn8nsuG/2mVo0zONmTKjo3mfc7DXszdfuWEa1F2cllkXPiNX /NTJ1i/TqGe/HfPzbj6Mji5QZEdNo2aLoz9tWSH4Hz9fYnsyTZRJWdpmysR3 bPjsDnaVaai2PDmS7lYKsyVrho/EeH8nJcsaUBPfMfTLdFGtUxCUkxisiP8K i8h7xZFBU9CS32YUfqcCFJf7ug6fmQKjJ09rinYVaNgfPq2cnoRwZNwry0vf QXvXcL0leBIeczmCbTY1ML+ve9JabBIifiKVSRV1CKfQel1YMoF667tDV/c1 4FmzlXa50gSC7i4pX7NthH62TpR1yThyDIfojo03YXQ1MtxBZByH0xnfn3jc jKS0LqrnXmMQpw/c+5a7FQz7nw12NI9i1VhfU32wDXeKkxLyGUfRWLguvVDZ gdyZtl8MR0cwUyoWUvitk6ivLN+4nh7Gqzln152Pu+H/U2yY4/4QOq2mutUl eyFxziTljP8gXBfbF3iIeqWn0oP0LHwAzir7f89b92Pv1NrCQf9+/O3IUP4m OoCP8f01I2l9SLon2iw7M4ADmoq9ax69WJ36qBEbMIiaL18f+Y10I3H1Uwyt xBCCabYGTx/uAq/83olTjUOoIlIm2+wnwp4v362/O4xANrHJZrd2eAjynmil GcHzcw4eVf6toG9SKnJ3HIGemsUiaaIZy/F8cZgdgUtBkM6w7A/Yq4vtk9Ee Bf8708d/nBrREWD/TfXzKF7mb9w58Lwe8cU7lGZox2B+UFLv40INZqxyVJVP EvO4GlklqvIdl/wTnlrfGoO9cKM61ftKpBxwCCh2HsPFBs/0+IByuP8OWc0N HsOr2lX2QQ8SYhm1ip9HjOGWlGNzul8pTsdY7FEKH8NX6gkGT40iHAlyb1N8 MYaOqkXHxpx8zF8v/9r2YAwPr01zxlzKRez4RWFf9TH8F99+MlgiCxECv/95 HxhDTlVq9auedDTTzDkWrI4iZ3hJU+tJCijLF5+frxhFzSM2A/2XSUiRzdkX 6DWKleaR4vldH/C2MXp9/cwonjEf+uuzHAvPq/QuomsjCNFQt/KVeYfEMsf5 b8kjSPi5nfZUfCS+TR5i9L82gpSLa5VijmFwX88VV9gYxrNQXfeSqRBc1mvf FxM3DLqkTpOVvkD4yDQpWCgNg1P22evcUF/UJv29dW54CDm33CWopbxw2Dmz +IfrEBJDaIeOe7ihQmzwgNraIIpTXMwUdJ3QpkNiu0XkQ9PSrJii1VM8NFD9 XicwCLLOqZnAnU/QkrHg3p83gG9vrqSRHz6EsZ7w6rz6AMxtfh68/OQe2Han H1Aa6cfcC/Gu5dU7oOzctYvmeT/MnAI17brN8cU7kdeIox9FMuflk61NcT1d yCgiqA/Ke+un3T8YwSCJneEwse/fuyzjm3JVF2t1Cg+f7+nF6HTgPu2oq7jP L86Zyd0DGd2zwQc7tCAW6KNPcbAbpm19DFwJFyG5rG9980QX7LNyE8kVqlBL EaknX+tE4jnKw3nkswg3oA4fuvQT1tHBPAKsinhH8yFQ9noHdjHcPsnCqQDF Lin2l+btcDuk9knkrhwSnobPpjm2ITj9uvWHIGmYnbQ+qfq2FRsNJpw8lkch tm3PHHdlCyIrrdm52iRQfUUwZ3ixGQ7G5wKOWYjD7tp2TU66ZvwXklS/VU0E 9afOjQcd+IEG9id2bxeFIMlxvbNXowlMP4uuL8j9B977R6IjXBphUXja//Y6 P9h/vWTVK2rAS7NZPYb9++Cq9yehbEsDyHf01FUleeG97VdXezgZ628Y15ze ceHXSf97j7JrEcC5sCv5Ewc4PEmvfk9XQzbiBdcnfXbkf0tid1L8jvQ9aYvM AWx4YZK+YZpVBVHTymoFwV3grJW5SSVfCQYGnsMfdrJCbfeUYGsn8V7JLzcW y7OggFWadLmFhC2Ji+FWBszITy+ZF6IoQ5CatCT7AhPMhg7w92UX4x3fzEXz SSYY8trV+eQXIqpvw/qcLDPu7Rf/e317PtSWVipju5jBnqf0nisiF0cvOhpy /2CB9X+2sg/WsiDVybdx4eEufGS+2PryYwZYXOq0bN/vxl6+2TqKE2lwyvl3 65kjB95bj3Q+fZsMByejJ3r83DA8e/r78zuJ+O6e4T3TzYeqlObxsLB4LCXm VS6WCSCwiNW9lD0OTN3r0T3GQuCS4a3Jp3yHonspV8nHxfBsSYf5amcEhBKH suvaJCEyrMHc5vkKD4UtvqubyULrpcn762PBeHA8wKW45BQsp4tvlZUEIDe0 2S5htzIkjYQuq3/yAaWYyq9oWw3cDcxuLLTyQDpZvv1A8lUMU1G3vo11xa/3 9B53uPVR0GAVXnHUGQHNe87dKDHByyMUV6QkHHHLP9CKSvIW1lriw3i87DF9 XDrw93lr+AnrW9bpPYHL3swjIkqP0Pw6bj//u0e4aTX09I6qPYq09LfRKj3A NfHv3VNMzhDN/jK2onUPWx3a0r78cscddrHfExetsLLm0ffuuC88t5UW8NpZ 4M12Y+5swWDEclzsad91C06zW7QZroZBolBY88Sem/jNy+stthoFzSBBslGl KVg69L2ZVGNBcTByPu/TDfBQbm3xUf2AJTverw1VJnDbfUS0gi8ZLfxXWAsl TJD/eeuJy/VpOCkr2ehVaIw10awNzuhMVNM86aQ0NQaV5A87xa85ePRZTY7n oDF+DkhEqhjn49fGC6eVHcYYHtBo8vUogqBA/Kef9MZ4qtmjxsRXhgybV8Gi gsYQeOIlw1j3Fb+uxOa66Brj860XEUb1lTg/GvbKP9kYV5i1Pn85WI3/bI8M t28Y4/3EkbGj/9Vh4EyXqbeZCS4NiLY5iTYg4/i/y8ldJih+4CmpMdyIJedF 8+tmN3AlbG71ZR5R73YLTRVt3IDic0MVnvgWbBHUXmH5ZIrHKWu1awltSNYJ T4y1MENoQ4aSR1EHymrXNarkbiJMZ+bRw/5OXL1jXDPJa46x9gi5RcYeqHZd +PKC/RZu+HtJ3OfrA5XH2pCkwG1YSzhLzMv0o8V48amLogViN7LP6RD7rGaa nr+Q3R1U6A1qcRsMQrODJrtn1BKNqgPLh5yGILCV/q/bg7vYpSPj1h46DLOX 5yyz6q1hrNMaTXl/BJHqBxJb393DBCszNf+pUbS9kX0dY3of1bdWfRy2jiEr 7T7fR8kHsN97iep10RjaX1mYmDM+xItB2zbZ2+MQf7ZPQ3vxIfF9Rsemt30C x4o9J6nGH0HasfW4YOQErAx7A1fGH4MqUd5yYt8kUffFO85ZP0H/050Kc3VE /dXbITXEaofH+9xl2Uyn8MA3Ek1t9qAVrTojMjIFZ8Ge+/1FDghx9UzmvTqN clU6G9NvjhBWM3bvzyHqWXoa+RkHJ9iy6HBepJmBSmgVneNHZ9xrDrcUVpuB 39baM1dmXOAX2Fe0w2MGdM6eAUYRbvh8ecJ4rWQG7B7uZ1mJ99FPIVWCdmYG uhKPjatve8HXitntMMss9vAGZR9+6YOM9KNhnGKzWG69f0tpzhdO48c0DyjO YtfQCuUNlwAslDQ6PdWaxQWRZPc4oSD8lyvStKE3i21vioQZUoPh8ytt+8Mb s/jbRrUif+0l1OV9VC1vziI7i85BQfAVLNr47poQnly69uQ2TzgsDgZpZRDX swXTtL5NisCRIvP7DvqzeCpN4a9lF4UlEY04lcuz+J7v3XpR9R32Uge+PK88 i6u7F5lTKGLxYaep15vjs/BKuyvGNBoHIz+PM6cPzEKt5jqP9EY82KWY/hze NQtq05Aa7YuJ6BctuXDh3wziaGJ1lXs+wu4/i7cmgzPIGqQ48SAjBQ3bQ+NP V87gkdJs54B5Ospuh15Nip/Bg/W9bHf5MtHt+ctPyXkGCraNGq7bslEhqRGT pz2DxiKa4RSeXNAnCr4KFZlBn4Hx8oBVHorWDSmMVqbh1N541WulAG1Zof4+ ZdOQt+idsK8qwq1ekvBj4nvl+MJhUTrrUjjp+ZEsTk5j5VlJFjs/CZUNGm/e /prCxvu3gqFbykFR+I5D+M0Uyu88Y33IWAlbypkpqhNT6OVx0PBS/AZ1L8m9 6i2ToO0LYpRPrcbv8K2nfhtPglq4j6NXqw5xR5TGPfsn8Op9B8UcZwOCqeQy H2lNYFpjNvRnSiOUKDowlDkOf41LS/qmP5BZdaO0eMs4bm0p53VTaAGr7PPe qONjuKAq8nB2vBUnZttYVFxGoWdREX4xrR3HaLZxVeeN4NWUBCdz0E+8O34o mqdzGDG//iPxBXSBvyCwiGZ0CCv2Nv+4jvdgW8eI1CzLEMQob1z+PN8L46iO z8mig+gradhf3tMHk6zS+m/HBtAc/O7Csep+kOk5178K9+Mo9w+e664DqOF3 SD6r1ofKuaajT04OIkanS9+Z1ANpZm2RM6uDUKA6UHa6oQuiHiJ1vCFD4Mit gI1AJ9rWSpiEDg7DU827bc+NDszfE3EfLRqG4WKllU5AG1KvW1K/UhvBjd10 nb8TW7AyMpiw8mMEjSuu+boZP1BX3BympTmKP0/2f+ROboTQcHnOibJRMPxj u2d+tB7HoiX03hP1fET8orIQey0W7w7Lnzg7BuEl4XrOtW+oq9dd6LYYg25f +Wu/D5WoFDxaq+8xhh7u0/sKdMsh9tzraVTYGOiEGMhOvCSwJ7So20eN4RJ3 2RWnmRLIjjvc6XpFPJ/9QeLlxkJ85/curXYZg0Y136P1358xvb972tVoDK01 EdZXDbKxVOAfMyQ3hqKa4sWohgwU1MQ9u89I9Cdq/ArvXCoC92ud1GgfRZxZ SsWblI9QN0oYa3k9CjXupj7Nzg+4pREY6H5pFD4jY/a7bOMQN39xK/22UbjT b3/B4vQOf4LlqI9kjuDrIcNKnZ+RMHrExd2pPQJ6w+/RVNZhaEvd3jq7OgxS 6F4Fxk8h+LsiEnHt9TB6VY4o6joGolU/MWLm6DDGWdX3f4h/gTJblhPPyUN4 5KEyby/mCfkTQcLFN4dg+KfsTcJjV5Txi56dHhrElexFBUvT5/jWG3sx8ukg qNQ94pLu20NPU5AmnmUQ/oIe/8Kv2oBpf/zCjY8DUOM1DmyZfgDR9ZuafIoD uD1p1rd/zz0Yu7CEs3b3Y2r6sMSpJ3ewy5in08K2H/U0u7a3uZuDdH+yXZmt H8tfxJTnZEzB4Cw/6erTh2qP4i0W5kYQ6eB/r0TVB46pZ+YKP3Sg9uFyrM5G D46Fdnh+3nsV8vaDSS83upFn46xjrK+FEIXkTgWabqiQu385lKiDuux59ZXd XZBxcDRZn1UBe+XO7qJDnZiRlWTfTX8Wz0+LGjsL/8RAYC0b86PTmKs5/eqF eAei55UDTcQBLQ8Wkbcn2xFOySrx/ZUs8kuZAm2utsFqOkT8do8UxN7Hd9bb tCIuhe3WQIskNO+f5zONbsHz/Ub7tbQlkHt7Rm+6vhkNj30da4LFQCfwwINy +Ac6xf/Z/Qg/iOvrsjk61D/wIepF+2VDIfRoJkZ7iTZBqOrtzO8v+5FaxijJ b9SIgpDeRc1gfkyvcfwsjWwALfeayaMqPhQ4JJ2hKq1Hptx/PhkhPJgfTwil u06G52Jg5PHdXBDSSB01fFgLi4TY3UPHOKCRMfNnI7kaT7o6Hrgu78bJiwJN 9BTfEcLN/kxBmg01hiqNpfeqMFCesHf9JyvOOJVcf7JSgR3/JtmC61nwZ55k G/O6HPeoXibXb2PBiVruc2uhJPBLaFA0SDPj2V1ply/lpZiKOWy2vZMJWexX IhdPFYPxiuaLvb1MGCMrmL1QK8TG/Nb5QqJ+n8qnl5WKyUMjR/RWrwlm1DfL vc+XIfZ7ds7gplkWXJ3bXtv2PAu+K5eXR0p24fzMsrM5VwYU5U+LMUizI09I LXGIJhW3B/5QMDziRNPPxKlgnY+g+ynvGRvDAyGdwgNf+BJgIHXtruPffXiu Z2Mtr/YeFt+GXOJM/oMb3/645IYY3LcxIYtnC+PSpRjulsYo2KqdVaOoPAz3 uI11iaVwjCZ+SqOXIdZ7u6x94shLRF44FpVSewKeDg1kgZogjG/4C52IUQTd 2ASj8EV/DHFp0absUMX/AFtg0Ks= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.21875, 0.125}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.23875, 0.145}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.1499999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVleXh1Gxa2wxdhTFGhRjImqCXnvHYC8Yew92xN7FXlAQEUuwgEZR QbGXVyyoiIAUQekgCNKl2HUya73PvrNuZobPmfmmffmL9ax99n3v73DaPufs azxh9qDJxQ0MDNqWNjD457+rln5qZWQfpRt/e63uFwsvpfuNWeFeQ0OFKxW/ 8Xp9fz/hEUZLqnpfOCaM/6heMVE3u9wSfxh/GH/YL7lYzOhEH8Xw1JuIQZMD lNEz3YzLBvsLYx9ettyMed1DxQ5jN71WY9pPwyLFDmMvNrvxFMNpMWKHsac7 1DqbYpEgdhj70BkNvnt4N0nsMHZdt6ZeZwakiB3G3rxeKzOniFRhx8IfTi8a l64k7jdfM3VmhC7W7lBFs4kuSn+d5cD8pYHC1C/svmm0xfc/XhP+4dSmY2W+ 2qWYvXv5dNPge0oDr8r397ndEsaeYVYifdvVYKV/dZeOV1c+FsZ+K7Fy2rBH 4WKHsTvvNnpRP+6Z2GHsNr1Nk1Nz4sQOY3f7uD93xOpEscPYy0UcmdOxXLLY Yey2XieyjR1fCMdu8p5Vqu5L0Yud+oexUx7/3hMvZb48miH/D5j2S/3SfmHa L4y/tr617Rk7+rBTnvaMHcZOe8YOY6c9Y4ex056xw9hpz9hh7LRnmPZM/cLY ad83tkfaDrrkpwROsalk3TZVWbZjxvKRY7fpahpnrGk+1EOpNvB5qbjJvyt3 Gjwf5e5/R3nXb1qg7kWg4hqaO2JW9APh2u9Sg1JzUpQSR3aa+1e5rmR5Fj7y Lp4hv4f/PsMPjs5bQpXD+9e3MDAIEV74s1OzB1UihPsXP9xkV6NoYYdnw3ed co2X55210NkEtcwW/hj0U8tf0jKV77a6RnZd/FRnevrEUNM5cxTHUyHfbh0f LlwQWG5leJ/Hwqfj7Y92nOQvTH+G5zYq7Bv8wy3haQEBiXfL+QjT38s1/+1q 9tgr0v5g6tPcbuf1JgPOC8dFeV6+NFcn4wvlYcZfxhvsMHZ+H6b+qW/+v9r6 r2C37ffnG8OEE5rtO3bK9anwhajj7naescI9e0U9rh+XIM9bF5o94NHiNGkf h2stqWjSK1P0Mf/A2vmE/s77tu88f7tyQ2XaJ+0XO8+j/ml/6KM84xP9G6b8 pG2THew8k+X9R6z/2N95S5aML34bdBkr+yd3YnyB+f/ClL/h2CDe7PvbMh7B lIfRD/N+8Jv5+bmN7UNk/Jlju+THWy3DZLxZUTr9rVfpcBlfqu7cX/7T1+Ey nrSosmP270PDZPx41sim77F7ITJe3GgZZD3C3l/Ggx7td/eY0OCs9B/zPdUv T0oJVVwN+yzq2D5E6X6ySZXOn8OURZlJF968jlCmDB/77S+1wxXPllcPbq0d oyxanmjZbWmYUt/6c37y83ileFVr3S/7/ZUtZh/rOQWlKm65D/vZm51TSl5f V/XcvUzFo8dXR1bEuCiJvVwDt/2crSzzXX97UeeITpXWRZ7NmrFZ+NnQ9HHz 7x8SDovaGbja6aJwZzvP4798e13YafCkpJDMu8L+bnODO1++L3wwWjf7bJlg 4R/X9pwyfdZjpWa1bs6Vhj9WKg7aXre58T1lhVnDbh+nP1YKDnsNXTTrnuI1 IiK7X51QpY/RlYE/Lw4Sf9sdj2Yu/aMe4MrmQya1WfVEuHfXqF+7mz4Tfp46 fsL7nVHCRgWp0yt2ihOOedSudeLAeOG3g99/n940UbjXsU5n/J6pPLFl8XNB Xs+FvVf1aHVyYrKywuS4p9H9x8qiefEPQ/JU+6NSZdv4dHghXGdU/1M7Ml4o WeVn153RK0hp0Nfs3qXPKWJvF1/J2+VWmrD994NNbRe8lPbq2aPzmPrXU5UB meVrD018JPM55Q9d/qb18n4ZwtkVRp0c8SlDyXnsN2jYNJ3SOLHZ2DLfqfN7 1/nhob47M5V+lS5MSa14Teb7H5yWGi6ul3yD+ZznyfiiZ8YX5gNXW68Pq/7o T9jpT23a+bR1mfj4T/N9YWGM8d3796Q8/Q2mv8H0N5j+BtPfYObnr9/Hbvr4 a7DM1/z+lWfOZsmdk6U8/RNmPJy2IWFi2p5bfxofc188rWw4Jl19/4yMo3EJ JxSPN7dXeod7S32cH7+67oXOB/9UP9NLzUvY99lfWbPZY0/k2T/aQ0Xj5XaP U5Szd6PL+Gy/pVROqT+t08R0pWb3T8NHHTik0/pTnzDj8bRrtYbazwuV9WzN QaWP3/EPVVIO10uKjXysNGx/0y/YJ0zWs58GnY8u+SBMaR8QMdPM8oli23Pg mVnNwmU9m3Fyp/H3zcOVb8ZYzJvaKErp26/RyxlBYbKeXTL5VLbn5TDl/t2p 4407xisXEuP2XT4WKutZE6M6m5L7hSpnek6Ii6yUpHRP3Fhsb7NQJTjrxv4O XZMUjzkxv005p65v162okZV07LHiXvlclVPfJCvzrGKCNvj6yfy1ddTv3zWe fFf5eUY/q6ubXkp7DXN9O9UyLEvYIXbd3IEbsoUZb5nvmU8GVLj2cnrSU13r e1t664a6dfq6wmK/OpVUtmvpXWvy6zBhr5b5Hc89DBdmfcDzqv5suvPDucdi jxyQZnM6Llh4XnzXVdk7Hgi/jL9/f0v7h8Ksh2DWGzzfs1GH2UZlb4vdvNG5 JmvG+QpnPezp2nzCWeHEgEHfTjh3Xpj6kPWSvv24VN7p+bD0ObX/uA1LLht9 U+qL+bK9wZnheb7PpD22qLl+5K7WkcJbO9zwjKoZJuxq/OKExYknwtQXz/vQ tf4n+10hYs8aVfjZpFiwsNub0R7RIfeEr9w/ffhgQYAw9QVTXzx/Rfn6fb7z uyN2PzvXvbE9dcIubwoCSgefEl633yhuQ8vLwvR3npcSovxYJvui9Oftl+fW 6lnbV9jfrtj8c30eCJ/1OGOX2+SOMPVP/6S+fxu8MrDsw0fC5S74ZTnvDFEC j4/d4x8ZorzbYTLqRuVA8af/Uv7oaMtky9fq+Bk7LSxj7JEIZcmcpuu3WIcp hi+/CapZJkzZvG1uNxuXMKVwQ7L/JLNweR79Hf8llayTvin7VNinTuLLZuej lVvfGRbUqRSuDLOKO3LyRKTyLr5yxxNNw5V1LQaWSt77TJ7H+ID/gFvTEuJq xwr3eLEwf1FSvDzPtETmIdtrMUrfks6DSsaFKX6NHEy9VsTJ8xhP8N/549XZ Q5zV8f/MzRXzf7H5Y/zPXp95sG6Ykmbfuov52QTFv8E9f++8UGViSrmM0Z8T 5HmMN/i/r3Yrq319df6u5Wr/qktBsjKjfPzAnPUhipPReRPLGs/FXzv/Ts68 P7PecXU+Xzt/69wmK1LV+VQ/fmEP8gvKKPadOt9n9nfMKVc6XZmwK+vIAMNH yiYT9/mrXr6Q9XPUkx2vCpq+UJw81k/d1M9fcbHY1axmRqrid23s6AOV7ys7 rVcOqXsmTX6P+Zznd3B78mvK5X8xXzVxnZ29Q40faJ8D6iWZvnf9Y/3f//ff 9o5NVz75vm/S68odiQfc+jyKrzdot4wnF7f82GFh7VXq+DNRCR4zLEDtH+Pq f/C1CVYurywXYO18WzFdfdvM6+cQpcCpfKOrEx8qk6JqdAjwClb2xC6Nc/0q RXFUGhps2XhA4k2fmaUia1ueUJoV1k05vCZLcex37Gq20+9Kj9D23tO2ZUn/ 7xGa1vrlwEs64gOY+AAmPoDxv18/ILHmtw7iD+MP4w+/zBv7cu6ecIkfmnhn d4vzixH+7qJuQJP3icJBuze8j676Qnim7c/HHVukC5cfXGNo367ZwuEu2asM TuUKm2wcHBF1KU94/sKLLS/eKRC+NaXOul3Br4WrDFv5bGb0W+FxPZJa90l9 L3zmh14bTPI/Cn9udDLm8+fPwuhjfYY+GH0w+mD0weiD0QejD0YfjD4YfTD6 YPTB6IPRx3oTfTD6YPTB6IPRB6MPRh+MPhh9MPpg9MHog9EHo4/1M/pg9MHo g9EHow9GH4w+GH0w+mD0weiD0QejD0Yf8QD6YPTB6IPRB6MPRh+MPhh9MPpg 9MHog9EHow9GH/EN+mD0weiD0QejD0YfjD4YfTD6YPTB6IPRB6MPRh/xGfpg 9MHog9EHow9GH4w+GH0w+mD0weiD0QejT3v+QXyJXhi9MHph9MLohdELoxdG L4xeGL0wemH0wuiF0Qujl3gZvTB6YfTC6IXRC6MXRi+MXhi9MHph9MLohdEL oxdmP4X4Ev0w+mH0y/65Xj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0+wwx ftKgQ47oh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfRP9z1a3XF5 ruiH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9Bu1aja05K1Xoh9G P4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRH+p60mlhqXzRD6MfRj+M fhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+jfWNosLK1vgeiH0Q+jH0Y/jH4Y /TD6YfTD6IfRD6MfRj+Mfhj9MPph9HeyPVtt9I5C0Q+jH0Y/jH4Y/TD6YfTD 6IfRD6MfRj+Mfhj9MPph9MPsp7MfvTGk6Z5mZ54KJ96zftM3O154lUcj92Kl k4WN7NMHXjJKE7428dynWeaZwi0PXQ+veixHeJmDsWnW2VfCASvt1zy4kS9c e3Za5FH/QuEZYyzNVj15I3zJ0tveOvGdcJmO1aPNsz4IDzdd3Kbqu0/C6NWe X2jvU8j5if485KvySQUjo3LU8/iFU9oG1H8lvOh5mm2nSXnCrQbO9PE6ni+c dD0nr2FmgbC2PfE+tCeY9gTTnmDaE0x7gmlPMO0Jpj3BtCeY9gTTnmDak7Y+ WS9Tn6yv0M98CzP/wIzHMOMTTH/lfJ37FLRX9mOpXxg7+63YYezsn2KHsbMf ih3Gzv4mdpj3fXduTJVdjZKkPPuXlIcpz3k79cv+I+MTzP0C9veof/bfGN9g zu8r5q3aWiY4W/bb20Xtn+412lP2x2D2F+c0iG5j3Pmc8PYFq2cadTis43yB 8jD7a5wXYIex8/sw+jkP65B0u7PlkQjhCN8tmSWuRv3pfsas9Z+HtcsKVBa4 DXa9EhIn9s26bUfaFyQIR57OfVut2HPhZgeHWmVXSBG223bZw79mqrDfsnof 3U1eCn9ts3rw6tYZwpOsk38fbZElPNLdxKCuSY5wsQPDTpZtkSt83GnjsNdm r4Sttl4pltw2T/jN2gzPkJ/yhd2WGo242aVAuOd8qxKnexUKZ81Yc3qf5Wth 5wk+IzcNfiPcaVSK4cKRb4WfD6zpNWnsO+GtffpaD5r8XviHLstKdf71g3B0 +9PeLed+FF7bOn50nYWfhL9tVrVM2eWf//T/8GqQaGU47bm0X+JL9sO5PwVr x2PiE+63cF8Glv1xfXuk/fA87ttQnvsq9D/2R2lftB/s7C9i5/4PdvbnsHMf CDv7W9i5H4Sd/SHs3BfCzv4KduoTO/XF+AFT/9Qv9U99MX7AjB/UL/7cT8PO /TR+n/Ge96M8v8f4z/9D7rfpzze0+/1/6/0h9P5b93+YT7Ezn8LMpzDzKcx8 CjOfwsynMPMpzHwKM5/CzKcw8ynMegX+/3afifOrkCtRxn5vvXRwQOc1O8Lu eui+9H6R9v6O9n5OUfdvirpf07XL+CFZX6n3a3hfC/OqNY6czhFOjDsXVrlM rnDO4d3Dquep7Ny/3ddr+78S9qhUy3lDuzzh/pevDC5wUHnUsv3hb5fmCxs0 6eQ4NVzlymn1q9vcLBC+sMs35GmtQmHWmzDjY1H3aWyyys+c8q/cl2kW/3F4 zTHp0n+16zlnm4u1TqxS76exvpP7W/r1Hcz6DmZ9pz2fLOp+jfY88h/t/oz2 vNW+4tWRzgkuSs3ON6of/lm9PyPrOX19f7U+utuy9eeFDw4ptid4xD7dP/r9 GvoD46/2/tvhRZWr9QoLk/NxJ4cXX6d0DRFmfhT/2Wd89496IvbOwyN1H9Mj hWPbutn4lIgRDrZcOGvwvGfC2vsjxOM8f5apUqfc5lgp37Gcz9bz2+KFt72t keSwN1F4g32JSfFWCcLE8zLf2U69cnV0ktijUpd2sHF/LvxtZNyOXt4pwo0n Pay8Z1qyMPsBMj8ONps6z/aF2Bff65bS8I9xGH5w4ZjFp/svhW93dbxuuSpN mP0EmU/bvK7WfGu62Gt4lHd8GpYhPHX37DSf+Czh8cbWMwxdMoXZj5D5t7Lu ZtyRbLGPvpVWv7ddjrDhlToP2y7LFf60cueWmAjVzn4Gz/NYeNv8YYxa/oS3 pV2jNa+EB/2+0rjKxjzhAbMLEi4lqXb2Q3he4ZSm2zzS1PLv3LwDPm3LFz7s krQww7FA+OCYke2dslU7+yk8r/uwLUmrC9TyvR2qN3q2t1A4Z0OvwHu/vRbO sLy+ffZ71c5+DM9z6pHd4Zdib8TusnLx4vPuKndeeNLkyMm3whYdjZP7llaZ /Ryel/jDYIf2Fd+JPWVWTJCDt8rbp1RauuLie+HNpvY/NammMvtB0v9MLqZU q/VB7OZjujSxua5y7ND5j0fe/ij8rE7azmL1VWY/ieetqlanY7bJJ7Gvt3Rf 1uuByq16RDRtG/RZuFl5y9ToFioXdZ+rqPtZRd23Kur+lPY+1H/2vtKbrsVK rpl8WeG+MvHWzVMDl1uuySjy/g/zE/ttzEfrm7/yiZissnNGqHm0Va6UZz9O 1mPOC/L7nFDXG/1HDrcbsPuVlGe/TtZnxd9+fy1L9Tfwe3b+5tM8Kc9+nqzX Zi+b3+p7lS+0GVPQxqhAyrPfh3109OezbgtVnvFbwg/uEwolXtXONyERMzt9 8+CekuJj06LLu8eyv6W9X6W938Xz41davZ5eQT3PIr5i/QsTP8HESzDxEky8 BBMvwcRLMPESTLwEEy/BxEsw8RJMvAQTL8HES1q92vtdMHph9MLohdELoxdG L4xeGL0wemH0wuiF0QujF+b/zf1+mPv91AfM+ol4mfgbJv6Gib9h/IlH8Yfx h/GHJV9MH7/iD+MP4w/jT7yLP4w/jD+MP/Ex/jD+MP4w/sTT+MP4w/jD+BN/ 4Q/jD+MP40/8jj+MP4w/jD/xHf4w/jD+MP7sF+AP4w/jD+NP/Ig/jD+MP4w/ 8SX+MP4w5Yk/KQ9jJx4l3iVeknxbTX6yNl9Wa+d+vuTXafIV5fxEHx/J+Zr+ fWDiG5j60NqZP3ke8yP1AfP7zIfUB8zvM//x/ow36GO8wQ5j144/6Of3eH/e T1sf/H94X/4/7EeSb0s+au6gXndT57yS/FUPnb+h9fk8WY+Q/4i/Nr+U+ZZ8 135lyyYbV8uT/FgDu60mTsPzZX2EPp6nzd9kP5zzFn4fuza/nefBzGe8P+cv tDct83zqG32sL+T8Rc/8P4lXscPYiTflfEfP2IkfscPYiQexw9iJ77DD2InX sMPYib9kf0PP2ImnsMPYiY+ww9iJd7DD2IlfsMPYiUeww9iJL7DDsj7Rtz/a E+0bpr3C9AeY/gyTny35Zvr8bJjxhP0zxhvJd9G3X85LYPLT8Wd/DX/Jd9GX 5zwFJp8df/bf8Jf8Fn15zltg8t/xZ38Of8ln0ZfnPAYmXx5/9u/wl/wVfXnO a2DOdyW/Xb+fJ/nt5Kvoy3OeA3Peiz/70/hLvoq+POctMOc98j0N/X6hfN+B /BV9ec7HYM6P8We/G3/teRvnOfL/158f4c9+JP4w5TmPgzmPZrzTnj+z/oQl 35T8dvJN9Sz5pnqWfFM9S76pnllfwZJPqmfWPzDrGfSyPqE/JZgVn9Jxszof Mz8z38H0R4uU2/Z2pup9POJDxnP2NyekLm8yY/cDmW+Ib7AT38DENzDxDUx8 AxPfwMQ3MPENTHwDE9/AxDcw8Q1MfAMT38DoXxEVtPg373PKf/T7AbK/p38e TPkFxQKbbP0tR8lPd7s6vuUjWX+kVnDNSXN4IusPxtOkdzsMi/vmK9dy+i1d tuO+0jrv103Tnp9Q7iTUPBSe9ED3aPV096dLXileQcVdf8oJ01UqMWNXil+e Yhv7/vHcuOtKqvtY4+h2R3Sj9rvllDxzR0mPqW6eMHnr/3h+///2fP2i8vOL yscvKt8eLu9Y78z4sCzhkSnjWnTckK30jbEc0mWV15/681ijFa/qf/tKabi/ SfqhgLuy3r6y/KZpt6RgnXmOz/4SjdT1dnFXq+So9XlK13HLv+uwJETW38H7 Qr7vV+Op7tPhfGvdlHzl+anHZR5EPZP1uOuCGiWWOlyW8fGKz2+xfeb7quuh L8z3N2rYu8qKCo9kfb7917273L4KlvWo9nsAf+98/6Ly+WHG39qHayRNPnpd 4j3G48n9Zg/bYpMr46/nXN+Z72PUeGJN9GbD403zFavtXhtPTbineJkOSGlw 5qhi0vHt9TYnz+s8v/F8M7xurmKQfuBYqa3eypKPQ2IfdL6gs9p0ranbW51y emHPwqXKAd3mw+WzWk6/KuN13/klRx4ofKAYWVvsPt3H+4u/J+DcMHBk7fOB yqS7+cG2Xjplq81p9wsLA5V4kzVRuSk3FG1+puVkO/9jZw/oJi7cnFlhco7S pvYS32UWt3QfnrzeUSMwV5mU9MFlidMt3d47zQ7VeJKrnG7ms3J6xOk/xRe8 P/FNk/u1fjZpeVP9fhHnD9vr7HXbek/Kr9m+28rw+V1h7fcOaG+M5yUH5eyp cdFTyhtbRS7w+NpDWPt9hP/q/O3U5mGTSl66K/E68dunpPqtHBV1fGU9nOP4 dF3fwIuKW8O3Rxu+PyPxlufXtdwv5Z/VNfNoXcNzjxqPjTl/wOX21ABl0Ne+ SUlTLinBTWeY3BnzUOKxf+v7HHx/4kvz+4nnqN8b/RqfmFstUOrTvP/JVxWv BQlfWlfP43pBqPCKdc9WzzZWmfiP59WdeLhVkw4RYh82MXmQbcVI4fwupz63 aBwtfKXLjKhoqyhh4kW5z9OgzUbHaXFi7+Pw45M5RvHCe1ceNO3fIlF46edl tRvfTBAmvuR5D7Li5xgEJIn9xazia5uaPxduN2bK0+JdU4RrxXa/FxWRLEw8 yvOmPjpe72LSC7HbW/qbxVqmCodbtFp/eeRL4YvXKtjuyk4TJn6V9u45x3/m +3SxNzLdFe00OUN4fp3CNnPmZgkP3RfWoE9plYl3ed6gHvt/2lU2R+zjSp66 495J5TIfY2c7ds9V+7NFYMrKSioTH/M8tx8Mds2s/krsXvmV66zuq/KIjK5+ s6zyhHubtuloXUdl4mmel9NoUmpv43yxGzy3nTt6mMrHozzq9h1dIOxSx9nR vKnKxN88r1O1+51MWhaKfUBo5L12E1Qu9C83v/G018Ip5d6lVfleZeJ1nre9 uOnuz+3fiP3gLQujarNU7nll1gMD27dq/3n3S+fMTioT3/O86Nwd6c+6vxN7 hrebbdZilZ1+D6kfvfK98Lo0X+f7fVVmP4DnmSbkdblg9UHsFocMHz6wV/m5 i7ndxS0fhcMiG2ceGaYy+wc8b1nwcJedoz+JfbPDNGP3nSq32egasGvPZ2GT +5u6rZyg8j/690O+9HsfX/p9jy/9fseXfp/jS7+/8aXf1/h7f0/jS7+HQXnZ b9DbjyyOeenfNUsp0XZzwnmncbrXi1u96FY6R/YbNgxpO2RO3lHZb+D/X6gb +03iQQeJ77GHxSYfWtsmRzkatLZ76TxPXaHB2LxpvjlKSHNb2w2Bj3RTSi2e PS/olRJZP+2At0GEboBJ6cP9a+QrFhvuXllWxk9nMK+TV+XGrxSr7gVGNikh ulK93iYvWpCn9N57u8fFYtd1Wy7N/fh0gbofwPqe+FUb/8PE/zDxP0z8DxP/ w8T/MPE/TPwPE//DxP8w8T9M/A8T/8PE/1p9xCPog9EHow9GH4w+GH0w+mD0 weiD0QejD0YfjD7t94O151fsP2DXnl+xH0F5mPLa/QruV+IP4w/jD+PPfVL8 Yfxh/GHW/9rzB9a/rDdh1ovyvWD9eg9mvQaz3oJZL8n6Wr/egVmvwKw3YNYL MPM9zHwNM9/C/H/l+8d8/1e/nmd+Yn+A+ZD4n/mWeJ/+T/1Rn9rxgN+jv8D0 F5j+AtNfYPoLTH+B6S8w/QWmv8D0F5j+AtNfYPqLtv60/YX9F+qT/sP+K/up jO/kKxHP8j1ZxnPKsx/rvN/e/Uyg6k99Ey9y3sb/g3ia8z7iQd5X7ivpf4/z Sp4n7VVv5/fRz3jI+xNPwrwP+Rsw+Rkw+VMw+VIw+VIw+VIw+VIw+VIw+VIw +VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VLy/9fn S8HkS8HkS8HkS8GSD6gfH2DaO+Oh3B/Qs9zn0Y+P2GHsjJfYYeyMn9hh7Iyn 2GHZH9SPr7JfoWfsjLfYYeyMv9hh7IzH2GHsjM/YYeyM19hh7Izf2GHRx3m+ vv8y3jBe07/lfqG+PPcHYO4j4M/4jr/cN9SX574BbG06oPujt/niz31D/OX+ IeebiZUmldqvcuW9j9cqndT7h8zPjB/a729L/oaeJX9Dz5K/oWfWC3I+qz// Yn1A/XA+Tf0w/6Gf9QXMeTf1wfyIXpjfp354X8Zzxlt+j/fn/Jz/D8zv8fvU P/78Pu8LU576pzzvx/Oxa/Ph/jr/+/fP/7T5f//f8v3+u88ji8rH+1vPK/+j +XBfen5WVP7cl56vFZVvpz1/+9L8O+15Hf1de5+O9q49z9Oez1Vob/hV4r84 n9PmK2nPJ7X364s6L9Pm72nPz7T5fNrztKLy+4o6b9OerxV1XlTU+VtR52lF 5XNp8w+KOl/703laEedlB7aWs17wVD2P0543avMZ/tbzK/Ih/l7nV39rPuFf 51N/nU/9dT711/nU3+t86r863/av/Nq/8mv/yq/9v5tfK/d3+F7b/7L8T+15 o/b8UHufS5sP+589X5TvgZy0vrKuYL7O0LX3FIdrwWp71Zw//hNibopM "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdlmdsl1UUxs9tS0ultPz/7Z/aQYe0tGVKKbRURESWuOtmWC0qKtqiVvwg JHwxUUzcI+6J4DZR444aFcQVYxw444gjQY17r+fxeRqNH365973v+557znPP Oe/b2DfQ058XEV+BfHAoaAdVYCwYCcpAIxjh61EeS0HW97nWAjKg3Pf4fAlo 9jMZU+FnBkHO87lgvO/NAxNAJVgDzvC90WCS31kAJoKdQavfy3q/YrATqPec fhwHOkGdbedsf4R9ZTy7eD5ko+R/MTOGNvubs61O77UMLAUFYG8wHYwB60Ck iOEYDgfTQDXYy7ZoZwnoALXgGJ9DkWPKOK5ewHMqtB9Z35vj+Hm9EMy3RrNA k+M5wNeM70Aw2/dmWiPGOMP+Mu7dffZltlVpP7ttg7rsFsoJanMleAk0gPXU A/F2YbyatpOeW2F9qMP+tsXnuzxSwwHQD6bYjzqvw8Q/+ZhnH6f7fr39LrZ2 HdZ/vm3Q733A5FDuVFt/6rsKHAx2te12298XTA3l1RHgEFDjd2ptf89Qrpf7 nWrfp67jQrlykM+G13uEaiDj66yfafJY6pjqHEuzz6DMz8z2czX2p8p25thW i/fI2PdVjosxHWb/eG6zvFebY6D/zN/F1nm142fs+4XymHqzXpivzAHmGmuV uckcYR4wByZZ90prtNSa9IVyusj+nmgbvM+aYT6cDJb7veVeL7C2zHue/9Ge F1qPE6xBr+8N89keGf/WUZ+f514r7ANzZJHtU/NjrXu+38mzTiutPfP0eOvH fjPPMTKnFjpuar3AulHLLuvZEKqVoXm3ry8Ez9iPi8E34Cj7X2tfeh0TY2f/ G7Tm7T7PPMdV9B/fC73OvD4T9NhP+sj8n2pf6Sdzqcr2+x0b47oWjEo6W+67 xu8O+prz38BP1vdH8K3P4Hzwnvdd5HMdqseTQjXJXsC+w56TsM8fPhvGf0oo Hyq8X7n96rfPUzynn+PtT4XXBvwMx9We52yHPp/qe7RxIzVMqpsijJeFesky +0EfxmC9Lilfz+b5J+X9a+C8UH3fCsYm1cdb4An7NQFrE5NifgBsDfWp97l/ 0vncxXNJPg+MVUk5fRsYlxT3Q6A4Sa8HQaf76gyMV2A83Xq/a81nJp0B549S p6S+8DAYmVSrm+hjUl/k/nc6J24B2+1/E9YfD9X8x+Cj0H/BDvBFqMaGJ8XG uNjjr/LZMneuCeXPdutCmzmsXxfqbdT+hpD+9ZjfFOpJr4M3Qv2BGmz2+bdh fnsol6n3xpDm94J7QnndgPXHQn3tPsaUlE9ngR9CtbEW/BqqmTd9rnOt6/qQ tiVJulPzTJJ21G005o+E+nJNkr7U9nPwWejb3k2Nk2rvDvtNn98G7zj3+J/1 Zeibf7nzj7n3Nbgo1P9eAeeGvtuss19CtcY6+z5Ua+V4ryKpT70I7g/17EKs DUv635mM8alQb3oBXBLq51vAs+H/lKR8Yi61YHwy1OO+A7+HetClfp/vvgzO CX3D8/F8QVIP/dP6UttpWOsAp4X2b03y4RPwaeibRC2zSXq+CjaE/k24f3OS DzzP2qQzZT42JuXkNnB36FvFfS4I7dWO+dOhWi/FvCypd7PH/BXqMx+AD0Pf 0edC9cBaeD70r8bavz6Ur8zVm0M5yvz82fnEXPobQPzOvw== "]], Polygon[CompressedData[" 1:eJwt1GVsVjEUxvHesQ0JEiTAYBtsyIAt2xi+IcPdhhMgZDgDhiTYBwgSfMHd NbgHvkEynOCaAMHdCRIkAf5Pej78ctr73tu3PT1tTGZ2xqgQ51w/hCIkcC4c g2hHI5b2NmI1NMFCHEJNjMVRnEVrtMdSXLJ2FArw/WpiedTVOPT3EBPRFif1 nGfj7T9K0d5IrIRG2I0FaGnfvMVH9EYk7iOFb8YQk3AC523skriDuzb3KniC R4hAVzzAQ3RBBmIYayuxKpoiB7Pt9yy8wWP7tieOYRXaoA5ycQHtMBrP8Ro9 UEbrYvwdxHg005zo7yImoAVOoTrPsp1fk9Y+C80tB0n8to+YbHPSWp6hm61J e7MIrWyPInl/MzEOjfHS5qS5dMc8zEBDdMJlXEEH27Nf+IlwZOI7fqC/PZuE d+iFGnD8X4ABNPPhH/4ir/PPfuOPjaVnMxHF+8OI6ZbrVPoTbH2fsMT5+uyD yfqfwNee1rfS9kC5H2e5y7XcK4ff8BVhNucpyMM7A4m1sNj+Q2P3xXQU5/ch xPooQfs6saLzzzahbOBrM85yV5r+UMthNO3bztea1pRGv17ga0tr2qK8Bn4v VGNFaF8lxmIwQgN/BnX2NMc1KKgxiDGYhsKBfzcVy5Vn+rWJ5bAORemnESs4 f7Z0JnQWdMamat2Bz5VytlPrCHwtqgYn4oXVRgpu4hY6ozJe2Z5rr1XTc2xO qVYzcy2Hyl1HzLc9Trcx9uOg9sn5M3IOy5y/K7QG5eKafaucKPc3nK9N7YHO 2nHn7xKdufzMfYWtXTkqRH+t5Uo5KEZ/veWiASICvyatRXv2wWpKtaQ7ZS8S A38Wdca+4AhGOl+DOovx/D7c+TO5XfMK/F2hM51A+57zd5HeCQt8zpVr3anJ 9C86fzY05gHn75gsy8lhfHa+FkfgtD1TW2f6qe2R9kZn/r3zd6LuQp3BM87X uGpbd/IG7X3g16479T8lHpxf "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnn8V1MaxzvnENmGsWbPFpIJYxlqUIloL9mKpEjLr01RadEiJJW1kFRo kZT6VWQZMxhjN9Ys2bPvhJI879fzOa/z/ePpc8695977ec49y/v+vtXp2rdd VaxRo8ar9k8y7Wh6k8UJFj+HGjVqmm5qcZlFI6ufaDHUyv80bWwxyMqXWBxv 5eGmp1n83WKkRQuLIy1GW7S0OMpirEUri6MtrrRobXGMxVUWbSz+YXGG3esU i+YWZ0pPtbjOzrW3aGgx2aIDniyutzgdTxY3Rs/heIubuZdymWrR2OJEiy4W J9n92lt0CF5uZnG69GSLjlJ8XGPt21oca3GtRTuL4yzOkq/TLC6SV46dY9HC oqVFJ2kri87S1hbnSttYnCdta9E1uq/zKVd4vECKx25SPHaX0mcDdY5jZ8sX PnrIF8culuKxpxSPvaR47C3FYx8pHrtF99XXol+Fx/5SPA6Q4uNC+aJfFljc bjHd4j7pHRaD1Xd4vFSKx8ukeBwixeNQKR6HSfF4YXRfwy1GVHgcKcXjKCke r5DSZ5NVH20xRTrGYqzFIHkcJ8XjlVI8jpfi8SopHq+W4rFHdF8TLK6t8DhR isfrpKP0fHxdouiuvry+wted8sqxG+UPXzdJ8XWzFF+3SPHVK7qXaRa3Vvi6 TTpR72qifE2XTtI7m6Q+GyRfvL8b5AsfM+WLY7OkeJwtxeNdUjzeLcVjtXlb ZNHE4v7oHudazKvwO1+K33ul+J0hX1PUT5fI40L55vwPFh9YfGixSP2I38VS /D4gxe8SKX6XSvHLojnHdJnF8uBlfK6o8PugFL8PSfH7tK6h7f+ktH0k+NzA 76PS+y0ek+L3X1L8Pi7F77+l+P2PFL/LzOcSi6YWD0T3+5TFfyu8r5Qv5ujD Unw8I194f1PX4P05XUPb56V4f0GK9xeleH9JiveXpXj/vxTvr0jx3t98Pmn6 msXrwct4/kjX0PZZ+cLHKvmiL9+S4v1tKW3fkeL9XSneV0vx/p4U7+9L8f6B FO8fSvHxRkVf7hx9r9ws+rtirDG21lTk8amU6z6T0q+fS8njCyl5fCklj6+k 5PG1lDy+kZLHt1Ly+E5KHht0Pdf9IeW6H5UP/drMfH9s+lPwfZ/yJxZrpeTx i5Q8fpWSx29S8lgnJY/1UvL4XYqP7+WLfj3JnvuqnrdRvshjq+jXc12Ing/X xejKPE7RlTxOju59E/FKzqOmOIY8eDdrlcfm0ZU8akVX8tgiuq5T3q/q/dWI 7gsfW0f3Rb9uE13p179EV/LYNrpy3XbRlTz+KiWP7aXkcUp07ztY7BhLHjtJ yWPL6L7W6z1tqna7aNyR067R8yGP3aRct7uUfmWNZh1mXd5Dx8hpTyk57SUl p72l5FRHSk77SMlpXyk5Ha52nG+unPazOEC5kdPBFrXlt66OMYcOlJLTIcoB 73AMrAK71NcxvB8qxfvfpHg/TL7xsX9Fvx6ke/PsI+QR7/AjzAifwbOwLYwL z8KwTYPzLAwLL8KzMCy8CM/CsPAiPAvDwo3wLMwIv8KPMCO8CD/CsPAZPNtI +cHYJ5g2DM7YsDbMDc/CsPAiPAvDwovnR2fZdsE9wYfwYmZZ6pllqePpDNUz W1PH01mqn6Y+pg5fw9Tw61iNF/b1enpvvJsG6m/6OrNpZlU0Myx6fijM2i0U Hu2hZ8MR8ETmrbE6Rn2QvF6o6zMvDg6FF6lnnoZZM9f2DIVTYcELonN2l1AY t3co/Npfz+GZmb/QgeqXHvKVWbmX8hmo6zNb4yt/A3AsMx+MlRkRJuurc8ND YdwhoTDu0FBYdkQoLDtSvmAdmDF/V3QOhXFHyddo1S+KzsqX4y86m16jXMfq Xplxx4XCphPlD+8TQuHd8aEw+mV63iRdM0bjZUoorMx987dQJ3marGsyf+f6 KJ3Pezl7Yd6z3w2Fa2HH3tG5dqr8wYfTQuHaW0Ph2ttC4drbQ+Ha6Xr2DNXx cqfq5DFTdQIGuz8UdqSeuXZ2KFxLHZ6FZefIE0w4NxSWnRcKy86XpwWq5++l BfK0UPUZej71zNl4yZw9KxSWzf7grsdCYVkYsW90lq0O7g8eXBYKyy4PhWVX hMKyD8rfStUzO66Uv0dUzyyb67y/50Jh6+zvcfnLLPt4KCxLHYaFX5+UP5jr Kfl7WvXM00/L3zOq4+9Z1Vfq+c+Gwtb4y99O9F/+dropFH59MRR+fSkUfn05 FH6lPiA6v8INeIX3XpPXN1TH65uq43WV6plfV4XCrG+HwoWfh8KF1DOzrg6F Wd8LhVnfD4VZP5C/j1THH3zzsfytUT1z6ppQOPXTUDj1s1AY+p1QuP/5UDj1 y1BY8LdQOPXrUDj1m1A49Vt5/V51vP6gOl5/VB2vsNxPobDpz6Gw6dpQ2PSX UL5DXgiFm78KhU3XhcKm63Vug+qZlTfI60bV8QrLbZRXWI56ZtMgtoDF4LDM qZzLrIw/9kLWdNb+Fsn23eR/W+LvcG9ZPBEKm3KvzKa1YmFKOGySXbfW9Kzo +cB4tCMfuI56ZtNtYmFT6uQJ720VC9uxj2eu3ToWZt0uFo5k368pToPbNhNT 7RwL13JN5tcdlUNttaslfqitZ++h+2bu3DMWfqXdJroHDNcn+lo/NRQ23Uss 1VAcRVtYc389v67qmRfr616c3y8W7qwrfwepzvNh0HryV191fB+sdpl9Mwvv o37MPMrz4C6YEObiPNwJI8+OzpawGzk00DV1dP4wnYM5YToC5oTpuBdsCbsR x6kPOHeMnrm37tFA/VhPvukjmBM2uTs6Q8JosBNs2VbaWOVTo3M8fQVjwKK0 XWx6a/S/1Sy1mB797wydo3+P8d7Ojf5tQ3+fE/17j3nM33nO1HvsFP37k3l9 XnTmbiqPHeSTnFpX9GUb9Sf910L9RN+0Uv/QN21j6Zt26h94FtaHQeD9jsqJ sdNefUN/t1Sf53Y57zOUe0vdi/Pk2kn+T1H+5D4nOmcy15spf3Jvrn7ZQbmS M38zvys605P7PdHfTVcdn633RP+dHX395m87zPtqtYdr+RboGZ3t4Lr5pvOi M9+9UjhurvzxN13K3aPzMO1hxCorL9A1MOIC3RNuXGh6X3Teuk/nYa55uh9r 2mRbl36V1+VqO03X9pY3xsus6GvdTI2lKl0zUDk+qGPs+f2i80q12lO+J3jb AWo/S2XuSd/0U3v6dZT6dpbGKvs0v1vwvce33rDo3135d41LLZoE/wbj24zv ssujt+f44OjtuMeQ6G1OVFvqfMtxv2E6znWXx/JtyblGOj5I9xygPumvsTEi ljF+RfSxyVieGMuYnRR9rjAnro4+9pkr46N+T7G4JfqcZn6Miz6fmAc3RB/f zLMp0cc082ZC9HnTX30Fy9C/1OGF2/S+6H/66U755xjnmkhvV5l73BF9fajS tfDmHTr3hMoz1IbzM3X/vipXaexM0/hhjo6JPu/z3y9Y43nvy3QfuHGpyowB 5lIXBfOL+cLYZw4wdmerDeOkq9q01zp5j9rTjrnDvJ6ja5k7F6hNV+UG88/V feaoDdcyT5hfef4wd/L8ZH71UHm4jtOeOcW8ZH7mtgti+Y6j3EP3W6j+6a1y r4pz12iezpeHLsqZ9XNF9LmK7yN1vKne6WLl9FD0OQmLs35X6/0uUpsmGiuc h3mX6h08qfm+VOVFunaq7kmbanlYpOOLVea5S/ROafOO6Q7Jxx3nV8hzlbxV q2+X6z7L1WaqfNFmmdaWh9SeXPqozXV275+U3xK1eUDP4F6sY/nviXBQd40d +vNku7ZZ8t8Mk2nv5OOip+nFyX+HzH9/5Pod7djOydeLnUz3Sr5uXGTaI/m8 7co9kv8uu6lpVfJn9jJ9QWNySytvkXzt727aLfnvn9uaDku+rvxmMSL5PnSt 6ero+87Q5NzJHPzO9Krke9T2pm9HX+e+Z+wkZ4Efo/cR/fNzdAZlzv0Sfd1n /ebH5InJ97bNTPslH7+PWuybfK343crjk++F6y3GJt87P2NcJ9/rtuE9J18D +pq+pH4ebeUvo++9I638efQ9Fu/fRvc/zspfR9+Tf7CYkHydOsD0XeW+p5V3 Tb5Gv2dxaPJ94n2LgcnXmtrJ3xPvaD/TvZOv449Y7JF8PX/YyrskX+fx/ml0 /32s/GL0ud/fyi9Hn7O1eCfJ5+5uya/nWrzsLj8fWQxKvoZunrwf6cNoGpKv Z4NNX4m+Tq4xHZJ8Dd0k+fhj7NVMPm4YM1+ov+irdRZXJGeXRqYNk/8mz5h6 TePqYDtWL/k+dDxjM/m+0sq0dfJ96EDTusl//29MHyT/PZ8+3j95P49J/jye NTz5WGGcrNb7oA399Lr6qjPjIvn+dA5jKvnv/G1N2yT/vwBnMu6S71tXJh9D jJ+rk48txlV7K3dIvkcydt7Q+OE9vKl3MSr53GBe8G730futk/wd8347Wvn0 5P/voIHpYcn34yNNj0q+D/EeVulddGHsJ///CEeYHp78/0H8ofnD3Nmg+cBc 2Ki5xDzi++8TzcemzIPk+zr3/lD3b85cTL5PfxV9PjAXvtG4Z8wfa3pc0n5v enTy/39R3/SQ5P9H40+dME0a "]], Polygon[CompressedData[" 1:eJwtlNlvl0UUhn+dQwwou0YkLAkIARRFEMpSlgJlaSmFloIttexlp4Wy77KJ LGVxARoJeOU/wQXuCsiNiUuiCaiIimwhxHDD8ry838WT8575ZuabOXPO6bGg oaI+5XK5FdACFkcutxxOMTgWhqK/xJbBXpiKXw5H0CNhEPoLjcNumIxfCofR BTAaPQ7eQw+Ht9A18L6+wdvoefAhegzsQP+DnQA1MB+/Dk6gC6E/+nNsKeyE H+A5nRl7MC+Xq0DPgmP4o+B/aIe/GlsNq9ENUM/cJfgvoTvDZt2XsZnoC+jK 5D2m43+HnZF85074L0JhntdMQX+LrUi+8yL873XP5DPPxr+InZl85wfQgbG1 +gb3oQ3+KmwVdET/ht0I62Eu/iXsrOQYjcT/CjsN3tU8/A3wKedp0B3QX+vc yTH/CVowthA7jzn1+ldY1zH2C7QMx2IbYyvRK6Aiz2u2orfon/iN+NfgcRbL ImjSW8NgnRUmor/Blus94Gd4Jvwvxfx37KPsruPhR0h8n5/8z0b0mvBZlmkO elJ4rxHQFd0l/FZb8Qejh4Vzc2hyLg7B35PlZH54jr5p7HX0Zzo769/BnodX GNuht0zO9RH4+7Kc74nuoRxm/jb8gegBkI/eBXnoK8l76Q534ABjc7DFybn6 RniucvaW3g2/VrUC3dDdw3fRP+aEa0K18AH8p3NrDDsJXkb3Cp9lPPML0MMV g+QzF4ZrTrW2PzlXxoS1cmZCOKaK5QEoCdesavVQcu4Uhb8ph15F94MhyTHS 2xaH5+qNq8M1rVo+rn+Ee4R6Q1NybZSFtWqkMlyjqs2jybVWFV6rmntaa+Fv qrm/YXu4VtQT/lWsw71hos6MfpjF4pOsttqHc1U1prfOhXNTb34O+7xqRnHB /wu7Cf9Mco73CeeEcmE7LMO/rLdJ7om/JteoalN7KDavhXuRYnQQfTd7+xLo jd83vJdqZD/6dvb2yhHl0pvh3qmc2ou+mb21cuRZ/FbhWlCPU69oDSuTe4Z6 W9tw7avHLQ33cPXuk7Aw3EPVOz/K7nodezb5zi/g30uOnXqOelVtOPfUs9R7 FoTXqgdtDveAomyP9eGaVi2fhj9gHWMfJ/ekXegb2Vsph3X2q9jm5DusDfdw 9e7mbO2f2V7aQ7k9KtzrlOPqrUvCd1OPfQKuZL0r "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGe4VtURhT+4sw1qVKSLoAIiKNgLahQjYjAkEkWDgaggKgbxMb2XHzHt hynSm4USjdEQbgTEIBHQS1FBEK7mUgJ4RVFQAhhBKWa9zLqP/FjPzJk9Z5+z z16zZn9fh6Hf7H9v40qlMrlRpVIl261UKl2E06NS2aLASGGK0EbXY2X/LPSW P1RYLL+V7BjZ6UIz+aNkpwot5I+WnSa0lT9O9lGhq/yHZP8mnCR/guxfhHby x8s+Jpwif6Ls48Jp8h+UfVI4Vf5k2SeEM+Q/LDtDOEr+Vtm3hReE54QFwtmK 75PdJjwjzBJmC1WKfyz7rjBXeMpj5yq+X3a7cJH8C4U58p8VnnZuT8UuF/4l /x1hplAtzPc4z7lU45cI//R7zPMcC23J7a7xR2T/LjSSf1B2t1Dje8hdKjzv NS2zZfwLyr/a3/9lYYlzl9uS21fjXxRelL9SeMm5q2zJ7afxa4UV8tcIrzi3 1pbc/hq/XnhV/r+F1c6tsyV3gMa/Krwm/wLZHbLvCxt8D7mDFB8orJW/SVgn rBdGKHZ3ZG69sNHju4SdwmbhA3+benNsinkJx+DaKPMQro02V+HjGHMPzo41 x+DgOHMPro033+AgXOwl/0phkd/vda+hYyQfJ5qTcBAu7jNf4M9+r3u29xdu wlG4+Za5Am/hPjXwnrkJ/45WPPztnjZP5nlP1vi7zzV3nvU9c50LT5/xc2eZ g4zB72o/Fz7O99g8c6yhTmrMLXi90M94zrHD+Qe3+DbkkwcHl/n+Bv7BLTi1 ytcNvF9gDq70muDmcs/bwEvGlvi6IbfW64eDtc5b7T1hbz4buc5/VCUH63zP OvNoY9WnfOWegeZane9f71w4uMnX90Ty8r/yP6xKHYRznwh7vZfMCx/fqEqe 1vt58PRNx4/VHMdYR3n2Bs+Pjv1VdpLQOPIZzIk2onPo3UdVqS/V3tPt3t+m kfdsNQe2eXyv95u9Pk/jZ0Xyi3vg5By/426/G1q51fmM73DON7xu3nWz18a6 Koof8PUe3z/T/FjqfSuRtVrvd9/jnCaRmss78k682zavea9zePePvY+M7fO6 0MUjIr8pzz7g+Xf5nXZ6HXyTt7y+g94D5q4yPw74/eq91rC2HxlZe8RaR+rI dL8P3Kr2/rOPI23Z1wfk32J/i/f6OMfpR029Rzz/ePcbdKqZ52ke6U91rLl1 Df1q4T7aMtKf5lhL56Nrrdxf+d70j93mZxN/Z8Zb+164s99c6BSpZfAPnTzB 60UT27rHY0+0bmLbWjfRynbu5e0jfTSUPtbd/RhdPdnxDpHa2qCb+BM8R3vP OcH3jHc98G4TPd+Zh2kouolmdov0Z7hO0GJ0uHNkXaHLXSLj1BLra+O1MB/z 0nPJ7ezvMNnXkzxfF89DPZ7ueXhmt8O0mzGeP9bfkT0ht6tzWEcnr72j5+ZZ X4/shfRBeuuNkX0TXUbHOTNw9rjY/hzH2btbZXvEp7GLnNPDPnGu0Xrm44yC ps93jHMJsYZr/M85zn3YyxwfHDlGfKHnWWTb0/4V9snHft5xQJ/gvhr7i217 2b/KPrlDIudintsix4iTR4+pseXcw3lmma/x+zhOLvP1ts/5tI99xq9xPqD3 MMdy+yts+9r/kn1yb4+8xif2ZecA+hxzrLL/qm0/+1+xT+4dkdf4xK5zDqC3 MUet/dds+9u/wT65d0Ze46OR50TWN3n0P+aos7/WdoD9m+yTOyzyGp/Y15wD 6JHMQS/A/49jg+zfFcljcond7Diaeqt5CH8Hmz/o9/+qUpPh1xDvNZp0fmT/ gTu3ed/RDzSBMxn7dru//3D9LlkUqeVvyr4QqXnvyf4xsudsk/19ZH9qp/w2 JeuwtWzzkprUQbZ9yfpvJntsyWceI3tkSW06TbZjSS34uXBBSd1oIhsldZE+ yTlhgy3nBnom15wn6PXvyM6K1H9iI5zzEd8kUtM3eYx4leb+JFK3DnJfpI6f o3j3khp0oey5JfXsDb59ZK86T7GfRWrjmfJ/GqlF3HeW7+W+831vD9mLS/bj S2UvKfmb6TLZy0tya6Dsw+buAPkPuh6ukN+z5G+mXrJXldzL62QnuIa3CA9E 9ti7FX8+sje/JPtU5BmHntDBe91XOWMidaeP/FGR2naD/EmR9Xyt/HGRenG1 /N4lf3PA1eHek+G+hpPo6zDznJq707XzPdnPlOxB98p/PbL/vi27NbKX/0A4 vuS7fVd+45J95Nvy90b21u/Ax8ge+r5sdeS551uyuyP79QzZ37oG7tEcT0T2 7RHMHXmW+ZHsiSV7xI/ln1KyB/1QfquSfeQn8juX7Efs7Rkl93c262M9rE14 3HN+H16U7MXw4uyS3HhF/n2RZ62bFZsSqSkrhV/5uy2VXRN5rnqUGixZ51OF W0p+19HCNSVrfaJwfUn9/YB9iDzTjBRejtSG6cKQkloz0HtErXCNpqAn42X7 ldSDycKNJTXgEWFQyT1cIKxyvdRGrp+13y/UR54DF8uujjyP1cguNDfQjN9F 6sZDsjeV1PSx8LqkPj0WeQ/5M2WXRJ7R+QZ3+TusF9ZFnvValOQKPOlUcv/Y O7iw3Xz4Q6Q2oUt3oCWR58cPI7kCT9CbU605g2WnRWo0GtbWOoY2NCqpD78U Xow8o6J5az3/Ro8d+u0guyJ8tpbdEVl3aM+eSP05qST/4B66eLK1cV8k1+F5 HbVTspZ3RtYM9cI+7/Je/0J4N/K827UkX+Hqof+T/J8SerY/UtNKybqipv4U qeNo+K8jtR6dP6pkrVKn6O4R1t5hJfkKV38TqS9oC1re1HoOxzeb59QE9Xbo d0PJuqVm6Qkt3RfgAX2aHo2mborU1aHUfWTPO65kXVFTJ5SsT2qTvnG0e8eT kXVOjf8f5Pyzkw== "]], Polygon[CompressedData[" 1:eJwtlfevVkUQhj85O4CAci1IEBWIoIKhCIgK2ACpCgpSFCmXctEE5B8wlkSN LfaGDWmCVMXEXkATe4lGAXujqQQUERugz5t3fni+eWf223N2Z2f2dJg2d/SV jWq12lVQ4Dp+PoeDYVdVq72KnRK12nhsA7wG0/AnYmfBXHgHKmgKt8IMxidh tzD/aHQbeBJ9PLE58DY0gjo4iLEaLGa8Df4KuEVx2FNZ3wgHKsduhhtgf+UF L8uY9G5i7XjWcbAc3YnYy3AJ/iitC16By/DHYGdCW/Qx4bVpzkvYcfgjsNNh EUzGH1ecg6nhHGjvE6Az/kmwkrmd8d+F9+Bv/KdhFXo1/IFujP0UnoK9lXPQ nLnN4An8Y5UXdBXOxRLNQUdYtyX2IXwAa/H/gWfRQxg/TeuEs9DXYvcxdgq2 Bf4h4WcvJVaHbhnW7ZQD9Npcr878DPxrsP/id8cehn94+L/LiC3HrsyzCewL cCHjA7H10ATdNLxW7ekodGvoUFwD7aXDZ7MC/43iHDXOM96A/Sj31wR7PVzO /6/AfkNsI3ZT5m9B5Vx8VvxfzfkaezcU5RZeL15zZM101FmH330isefhAvyz dbbQCX1CeExn+iJ2DP4Q1T18DJ9krX0PrRg7Mpwb7XErbIOWcCjcVbym5tlT 6pWrldfsmXqdvWoSLi0+uwHEeuUZDkSfCzsrx85HP4g9R2cNw/Dvx/aHvlmr i7M2VbMT8RdiL4bRMBj/Xuzp0Kf42edB7+J39FMuwrWzA78Pum+4Fn7Bn4Vu CJ+F1jwB/bhqAEbqHfiPYIfqXTAinOOpucaLwjlVLgfBKPyHUg/QvlTL0A3d U+sMr0HvVmws+jHlAYYrZ+GenplrGB/u+Rn5H9XOUuyvlWtoKP5z2CmZgzPD e9Zee+DPQa8rPtvZ2G74XWEV/snKY/iOmJ57VK/0D89Vz/RC94TV6K7Eumss PFex3uhTw2Nr8N8v7uHJWbMjwz1Vn2fcRXPDd4vWsAN7u2oM/SdMCt/RDXnG NxXfybqL/1ONYn+AFtkf+7EHoHXxnbsLeyf8VPkOeKv4DtfdrR77Dv1t8V2m Z6zPHM3OnP6sucV3kWp6O7ypuq/cA8/oWVn7ev6P2M25tq2Ve/m2Yq33fYH+ CprlHr8s/mbUZewvPQdawSLlALsXFlaOPZo1otrQHf5w1qRqUT08L2tOtaY7 a0lxD6r39E1bU9zD6l19w+Znjau29Q3Zp3POdyuHC4p7TL2lb8p9xT2pXuwH v8MeOCLXOCj8jdW3VT13B+wsPkudwW70b8V3m+bcU9yz6lXd8Q8U3wHqfd1Z quXh4Xeppv8HEpjvRg== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGW0VkUU/Yh7LvhISR+PhkeJ/lD/2p1L7FgG5jIIeT5AQEpCkJJQusOH dDcIooKggi1pIfAEFKTDvd2bhT/2OvPNnTtzzj5n9sz9ajdv2axF0Uwm06JI JlMMdlWSyawD3gFaRSZzZZrJrET7c+ATYDawFZgLjAI+A2YCI4CzwBtAb+Ab YB4wGvgBWACMBX4CFgLjgK+AOcBIYCewGJgA7AaWABOB74D5wBhgO7AIGA/8 AiwFJgF7gOXAFOAA8BrQBdgPfABMAwoYD/AmcAhoA3QF/gbygG7AEeB1oDtw GmgP9AKOA22BHsBvwDJgMnAUyAfeAvYCK4CpwEmgHdATyIDDDrBvA0XR7gjb ByiOdifYvkAJtFOgP9o5sANhhwA10K4OzEB7AzDdeamGvmzgQ3Mz1vGUQl8W MMi8jnLM88wfeWmE5w2BmkCD0DrvO5/MVWvnapx5YW42Ay3NWxfPs8i5ynfe JpqjJc5JO+dnsnlc5vywPgq9TmfXwnjzXuj8tHIeO3vccvPawfnq6niPOG95 5p557ui8dPecx52ffOelh/1kXnrbn7POc3vn6G2v9YVjZ+1kO0fMTZZ5Y3tW otpvkYhXcvoe2gG70Xkj18Ng302UT+Z4MNplQ9wPcT30sf+bzXsrY5R5aGue 2xmT7HO+c9HWXIxz7G1cG+xjPff0e+2dlzecyzEe29o18Jq55N7pZC6m2reO ftbJ70/x83KheIYm0osC53I1sCZR3ebieS3Xc13X70DzN9Mcfux3ptuXefaH cSxwLORgiWNh7SwyB+RpruMgBwvNA+Ob7xjJ02JzRY7nmGNyufR/3CxzfIxl reP5CFhvP2f6dwv7utoxMtZVbtcOPeO+/jSRVo4wlyvMJflbbg4rYfwmv0u7 wW3ajZ5nun/3d2zjHftsx8N9WjFUuwWOb4u54ZgvPY48fW2O/0m0l7qb4x/N H3ndYc7Ix+/2l9z/bM7I6/fOD3nd5fyQ+232j7z+al6PeL1uzu23zg/52Jeo tpinQ847deBgIi2gPvyZqK7+8piutvzdxZxwjTyPLUwu6Eihc02+/3AeDifS lG62hz1nnn+3Mb9HPfcxt6kp3APF44LmHDOHJxLpDrWGNUrdaWsc93zMNzWI NXbKY7g/WX+n/d4Zt8+fQSe87nnN4thzbvf2HKe87lk/47tFQmtR16gtrA3W SbGQ3vWxL0WsiYynqM+tJBRjX/cV8zznc9PaHCSepzJsSZ9l1MsSPo9qWz/7 JdrzqftZ59RK1nRJj+/vnB9wTtl3kccTWdbh0qEzj320Zaw/1FRq0XDYKqFx HFMn5Ec/Py/nMVVhy/td9l3s/qEeR32mBnBfcU/xfsS9yr1Z3vNw7EbHT//p bxWvS7+qekxj6z/nzPX5Pth8ZNu3+iF9zHFfNffTrwr2rb7fHZDoTK/leXjO 1PQZxOc1PKaWz3yeQdTdbHM4w8/YX+D6aGWOS9nnevZngPNYx7rGvnrW8RyP Gej5cu0P/Wjgc479jexHkxAX5+8gWV6Lc9T3Wk18V+E8Df3uYMfX8H8x5vpM qe53c4zGHv8Yc+Lz+Cn6nCo/jwA9Q/m8Cn15IR1/ELZTSN9T1wxz+hz9TZXP h7gnQnfiBl5riP1sEhf6mtiHF/k7VQ47A6+E7g6nvc+599uE/KAPE9GeELpr N4V9M3TWnIO9KaQDR2CPhvS0H9cPnTFVMcftoX3aFO3LgEvsbx/7fBY2k0pT TqJ9Y0i7iqEvSaUjl6Pv3pBWVOEcqfb/P8ANIc1sDXtpqjPvCbTzXQ9c8+HQ utXRviOkDzlo10ilFyOBUaEzKRd9z4b26lBgWEin6qL/yZA2jAFGh74broX9 JaTtvWF7he4Oz8C2cz0Mgn00pDHk+4pUnA9mvYfO8BOwp0LafTVsV8dbHGNv DmnpNeQ7dO4cgN0XOm9eJcehO8HzobX/20+p4mSMh4GDoXPleChnzNde2N9C Oke/XnY99Ah9d/He0TzEKfn8FXZX6EzjN1lLj2EcLzmW92DvD90xqqXKGfNV mXWXSt9LsPZT1Vw35jykbXfC1kyl8xVgbwudBXyvot9NU9UHa6Noqhpi/ZRB +9bQWVMe7dKpzp5SqdbjWmdCXJPnkui7JVTzHFvW499nLYXuSo3Q90JIX8cB 40P3GPI03FyxBv92HZLLPeaTPP1srn4P1QrrZHcol8xjl9C+4p5i7R9z/c+F nRP6Zr2ec4TuAxthN4S+O2fBzg7de66D/SN0Ts2HXRC6P90N2yyk26yXQtfM ZNgpobvXN7Sh79dtsNtDd6B7YO8La2AqPaIW/Ui/Qt+a+0Nrc93v6EvoTvMl 903oO3Un7I7QdzDr+nLXNv163L5xnae91hbYraF73gzWXej7exPs5tAdjnVR LlVtPBCqOdYba/wv1/l67sXQdzx1qFIqLWKNZKWqE2rY6ZCOrYRdFbprroVd F7pHfgr7WeiuOZA+hv6HWAO7OvSfwXLYZaH/BpbALg3dO6lJd4V0ifu4SKq9 PA3tqaH/J6hJ2al0ifUYqWryUCj3zPsi2IWh/y0KYKeH7qz/AniBYCQ= "]], Polygon[CompressedData[" 1:eJwtlfnTUGMUx2/pObdCUu/7Kg2pbGlQUUj5D0RGI8qgUdSM3pFQtMnbqsXa pE2LCi3SXtrQShQtSoqkvWQZsjX5fH3vD595Ps9dz32ec85t0Ln8nh6Vsyyr gCqwLLJsJexLWTYVFuJLYS8+BW7AJ8A2fD58jG+AA/h0aJBnWUfmn+HB+CXs hCPMZ8JY/A4ox7fCXvw7OIG/A7vwb+AYPgua4lPgK/wDeBNvD+Px92Gj3gUH 8bdhPD5Z78UnwBbFCofwGbAK/0jvxKfB8/jLsKX4nufwxnzDxYx1oB88oW/U t8JwfCD0SD72NP4KfI6XMt4L42BTcowj8VGwOfnYGPw+2Jj8znJ8EHyCr4ah +FOwFl8PvfC+ijn5WH98QPjbFUO78Dcodq3pVPwtmJi8Zs/gN/I99RjnMO/J eD+sw9dAb7wp5y9nnMv8WcZGzKsxlkEFDA7H1h8mhtdYa6sc2I+3gXeT9/B2 /Gs4iq/UnuE3w2J8D7TAl8O3+BL4Ff9N4IPgWt79OPNaUBOuY96NsXZxbE14 D7V3+2FFOGeVq3pmS8UaPrcUbtHawvf4MlgXzlnlqo4ptkXKueQYu+NNcu/1 PGiIP8yx6lAVRofXqKzI8eac71ys7ZWMzZg/yDhb9zJexbwLYw24AIaEc6a0 2IMHwjUTRQ69qNyCkiInLtXewXnMRzCvj18BiflLeifeB7+kiHG29kI1oFqC ZvgM2IEvgC/CNaFa+BG2FzWq2jwM+8I1qVo8Dqfwn+AX/AW4TXGG710BrVSb 4Xs/hNba2/C9q5JjmaucSI5JuTkdtifnaHP8vXCsC+EofgxO4wPhJH4i7Iph cbgnqRdpz+bj85Tz+G7YHO4J6gU/6B7853DsyrGbVDvhaxfBEcWumkp+562q 3fC9y/UM/EA490/BQX172HWP9uqNcC8rKWJZEM51xaTaa8t8VHINKjeGhWtb OdKpyJmGxTUjwj1W9awesTW8xlpb9TD1gifDtaue8FA4R5WbqtkO4RrX+bqM j4RzVLk5hmOvM74Wzm31pMfCNadaU8/7NLzH2lv11LXhGlLt/N8zwzmlXNIe zgmvqdZSe7wkXOOqbf0zdoR7gnqB/gGzwnuuvd6pnAnXrGpV/5xJ4Z6vXq8e viecU8ol/RPWh/dIe6N/jnrXXcW3qYc9WtScau1C5YFyOfyuSZBx7hzzCvwv +Bc/C2eSj53B/4TfVYvwD/532HVN4v4qMFjn9E78sty1qZqshFfO/WxdcyfH rs+9F9qTa3L/Y/RvUU+4G7qGe++rEJzPcz97CJTiZVCJa4Yzn1l8k75FNf2H Yg33TsW8O/wP1b9TPbi6ennuZ52Fi/AaMBQ/BzX1r8vtw+B8rV3ua3VNXbxO 7nerB5XgtXNfq5jUe67OvdbqQf8Ba5Izpw== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{27, 1, 5, 252, 243, 244, 242, 246, 245, 123, 248, 249, 247, 251, 250, 124, 254, 255, 253, 257, 256, 125, 202, 304, 179, 241, 146, 239, 145, 240, 178, 196, 144, 177, 143, 308, 307, 122, 237, 238, 234, 236, 235, 121, 231, 232, 228, 230, 229, 120, 226, 227, 223, 225, 224, 233, 88, 27}], Line[CompressedData[" 1:eJwt0tky13Ecx+G/taxRFJLspZKpGSR30SW4AO6ASpF1zGgTZV+ydmBJWaKx NJUtkSzX4jlw8Jrn833/Tn8ZZRWPyoMCgUCLXmpNUzpvfMVzfM0IfmY03zGK 7YzhLOPZwTi+50V+4WV+YCI7eYVfeZVdTGE3UznHdPbwOnuZwXlms59ZHGAO v/EGh5jLj7zJJd7lKPM5xgKe8EjHalaJrVQPVevdpAl90rh+aFn3fP/O+zzk f91x31aNu1HDyvMe4S0Ocl0LeuC9yAP9U58ybc+5rz39VZrtmp65G7SrP0q2 JanaXa8dbSvBdklP3XXa0qYu2GL1xP1CG/qtNkXaH7OYM3yrab1Rka1QVe4w hitYoQpRpX1Fq5rUL7Xq59m/cwpC8EVp "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{317, 316, 320, 799, 790, 791, 789, 793, 792, 700, 795, 796, 794, 798, 797, 701, 801, 802, 800, 804, 803, 702, 765, 907, 754, 788, 732, 786, 731, 787, 699, 319, 318, 317}], Line[CompressedData[" 1:eJwl02dXj2EAx/H739/ejlfgEA2pJHsmK0TZRGSPSmQme+Ugz7yC3oHnRvYm s2NEVjJPNgef+3jwOd/r+j297rtrQXFuUSQIgofkO+SQERMEV1kRDYKVLGU5 y7hiX6xLWMgiCrhsz9cF5DGfeVyyz9G5zGQ2s7hon64zyGUaU7lgn6I5TGIy 2Zy3T9CJjCOL8Zyzj9GxjGI0mZy1j9QMhjGC4ZyxD9GhDGQwg6i299cB9KUf 6Zy299E0kkklhVP2XppEPIkkcMLeU+OI5ZF7D32sh/QwASfde+sTjWgMd5yv scp5NVGacdd2nULnIprTgnu2GxQ7r6Elrbhvu0mJ81pa04a23LKv0zptp+35 7HxEm/QPT1nvXq+l+kwfUMMG9410oCNfbZX6Rf/ynM3uL3WTvtBabrPFvYxO dOa77ah+03J9pVv1tW7TH7pDG3S7vtGd+lN3a6Pu0re6R3/pPn2ne/W97tff WqEf9IB+1IP6SbPoTmz4TuHbEUc8CSSG70xS+F4kk0Jq+F2QRje6EKXJ/1NP DdUcp4pjVFBGYeT/v/YPhDBrRg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1GWUVHUAxuELS6o0gnRLp3SjSKp0S4ciCNIdCggCkrvL0t3dIiXdICUl oHR397OHD8/87v/9cOfcOTOTrln76u2iBEGQyUucaEEwOiQIjupOrnGVKyyl RfQgGKa7WMYxdvMjZ/iX0/zOTUZwi+XcYSS3GcVdVtDSPU/pz5R1/SVl+ILP 6W8vqaUoRgmK089eRItSkMIUojT5It/Hc6xkLevZzDZ2sY9Dkc/JCc5wngtc 4jGD3WMJi9nGD+77qw5lIW2dF+kCttLaeZD+xjzaOM/XIxzmr8jPybZFdzCX 750H6t+0cv0dzZnj3FRnazPdrE10ljbSmdpYN2lDnaENdLp+qxu1vk7TujpV 6+kGraNTtJZO1tq6XmvqJK2uE7WG/qnVdIJW0fFaVdfpNxqhX+k4/Vr/0Moa rhU1TCvpWq2goVpOx2p5XaP7GcPZyO8el1nJPvbyC+f5j3Nc4H8GcIh/WM1x DnCQVVznBn3ZQ3uGsJ1LXGQ4JzlBO+7zgHs84iE/8YSnPOY5z+jAS17xgje8 piOBZ4vCW9chGpVOrqNrDKIRi5h0tn+gHxKbOHxEF3s8jU9cEpKArvbE+jGJ SEoSutmTaXI+ISUp6G5PrWlIRTrS0sOeQTOSnk/JRE97Fs1KZrKTjV72nJqL HOQhN73t+fQz8lKA/PSxL/U7msZUpjCZSUxkAuOJYBzhhBHKWMaEvP8/egdP zJ4/ "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0sdfD3Acx/Fv0i9kJdnEP0CSPbKzLrm4+wPK3aNDpUsduHCgjMzslZRC Cdl7RPaMkIyy0tPD4fl4fR/v0+fwHbU8a2lmVAihisKYELIpZXokhMc84SGP aGQaDTzgLve5x1Ruc4cb3OImU7jGdS5zlStM5iKXOM8F6pnEWc5RSx1nmMhp aqjmFCeZwAmqOE4lFYznGOUcoYyjpHKIw+znIAcYx172UcoedpPCTnaxjR1s ZywlbGUTW9hMMsVsZD1FbGA0BRSyjNWsYSUZjCGHGaxjLZnkkUvWv9tjQ1ih +awijWc85ykvecFMXvOGVzTxllm8p5l3fOQDs2nhM5/4Qitz+MZ3vtJOG3P5 yS9+8IffzOMvwZ0d2kWjmO/dVWOIJpYI6fbu2oNu9CSOBfbe2odexNOXhfYE 7U8/BpDIIvsgHcxAhjKExfbhOoJhjCSJJZH/f70T8yVssg== "]], Line[{1616, 1426, 1430, 1431, 1432, 1433, 1555, 1641, 1834, 1640, 1832, 1639, 1833, 1658, 1831, 1637, 1829, 1636, 1830, 1657, 1828, 1632, 1826, 1631, 1827, 1655, 1678, 1627, 1825, 1626, 1681, 1653, 1670, 1625, 1650, 1624, 1838, 1837, 1613, 1836, 1649, 1660, 1652, 1845, 1651, 1671, 1672, 1629, 1841, 1628, 1618, 1614, 1839, 1654, 1630, 1634, 1842, 1633, 1619, 1615, 1840, 1656, 1635, 1638, 1616}], Line[{1676, 1480, 1580, 1688, 1620, 1687, 1621, 1689, 1643, 1843, 1644, 1663, 1662, 1581, 1664, 1673, 1645, 1661, 1622, 1835, 1642, 1682, 1683, 1684, 1677, 1676}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c8lu/7xkV8KkVFSsMIDZEtiuewR4iMhEokKoVQyl7J3krIJitlkz0j hCh7j8d+zFKK3/P7Xn/c9+v4477O8zqv836dx5vd2FLzLiUFBYUO+fH/71Kr EWHBiVnkqn7gvhH0E1Q1YmeJ5+bQNKKQp0L9E52Owls/w+ZwkPmXUpriOtiZ Y+1q/85h8K0a6MLXcMAnuTtMbx5as0O2d/+twteYy2excB4Jl99NLjxchbPX VaE2xgXED3po0I6tgAuR//htFkBttXpd8MYK1nrvetF9W8CMX6HUVN8ydGU2 u40EFhG7d9dS4c1lKKYrDm8+WgTVZlCD4f5lMKahqCpjEY+f1idY1C2B5QOD bTZxEUzuzLqtz5fQ/VCftpaTBIrcoP1m/EvQha/WXyMSmk9evq7RTsIFh1Kq VFcS1jjd9Me9Sdi+v3vH9TgS9tGfv/FXmgRjfoe/BypI0FcbPfB6cxFfI4+k dg6Q8ME749aHgkUwBP90p58mISqCGKYcs4i9MbrXVFdJqOupbFh1X4TE5T3H fbdIOL7F3/D+/iKqcjz3yW+T8M1jaN+ee4ug+N9agun/1iKKzhPsb5I15afX IzUmi4h6/HftE1n7cUSas95ZRI/cNXUDmiX8ZY8+OqO8CC+Vcyx/aZdwP5j5 fA0/uU5c6oZvDyyhsPX104zD5DoUbeTu4VrCO741/ojqBRxwbPnDI7yE0ACa TFqXBeSa+1Nryi7hO8E4aEpiASXuVCnPNZeg93c44uTmPLzfVKYnGS2BQlEh sKxkHs+Lo1m2XJZg2ez799+FeXyruNBqGLuEVA7/P6FFcygU5fzvc9kSfvM+ IpqIzSFtaYFasJ+cf2itzK1Ps6j8dnYm9jf5vE3yqQ8kZyH/ZnFwRmgZFE7D k4UaM1CKJ8lwWSxjzKjaiN9sGo9cCDJSacvg26gcNXElouhGJMeZsWX0G+wM XIiegn794IHGYyuQNhcWtyiZxJPFi327dFYgGUq5Ed4zgSDyhhzZK3gqdzbZ +Pk4GuYIzLHUq3AyTXyWc3wM5odKuub1V7F4kFp6sHoEd5R7Gx68X0WTbW31 wY4hFHTEU2v+XYWLq4i/LvsAMh8IXypQWMP0YKqi+JNe0HQ2R9v5raGGI++I 7tcfcN/oWZZtWoPjK35RW74u1KuppHhsrUFUlvdmYUwHAiyfMjmzrONSSAyR JboN9fmH2FTF1sFhpt1Uw9gCXv/25BLyf1X5QcUp1bgJuQcGa3Q113GLNaOW 6nMDujvM/HJ11xE4y7JdI1+HRWfhfF2yNlEJcaIcrwaf6s6jAxrrSKLIGByU r0Thw/KxMdl1OCmExhxhKIWsukg/F/86Fi5Pe48JF8FIwYZz9ug6OtnCsx6p 58PKyP3h/h3r0IhdbVRIy0FlUpBTxtgafAznFFdcs7FkxVkyVLmGMlnu02V8 GdDrvxhNjFyDEt27lHP6qTjGtZ5xwGINlyM59QU3E5HXFby3GGv4y3WIrY42 HtLDhONSdGugvS8a/oomGoEXnWIZ+1aRP5v31vDjK1Tn/T6SkLSKYjG8q6QI g6t6+O9J41U0OO9Zv74aiOEKTlEFtlX8V6PbYsfjA5ZsbyGvmRXIfmB51ab2 AtZBzdsnclfwatks8eQud2hkN+jK2q9gwS998pivM47Tef/glFmB0EXKkI7R 53jpTWc3u3sFDj1dQxLrT9BkcOtcYccylkvo322kWuNDsqBz8ptlWD+ZfDlU aolTveyyrUbLiGpY883cbY7CHwnlTUeXkVGr4bzMaAopdT1Ws64l2CpOxrgw GSPQR3i+InAJ18Z2Pw0ruYkTudWuE8pL0On997zE9TqYzDc1p6iXsFXZtStH VhvPpoZn374godJQ/srrdg1A4+BXlR0kvKF3HnixrQIKKrmnI86LeOiWdU/6 jiIKqDRdfPsX0OlWb/37gwzaq+fT9C8t4KeyPC1oCKg0VrK4GjsPFcalIj+I 4dCBbFrznfMI2go5VPpBCExbO9LiH83hokO9Xd9+flxv6j8/0zsLykOFK2cN uCHz58qKuPIslP9xlJ/9xAWF1YHzHWkzkO7zOMMQxA7FuN1GPHtnoO/7LN0l 8DjUKKmvidlM4xIzr2/pjcN4adppPDpIhAxFQOuwOAM0lZiSGVSJEPxUXrrU SY/oj0w8peVTII1VzD533oNa0WccdYJTUFMk6DLx0uAEr3Hk2tNJcLqNWOk8 24FohgeyOtUTGDgcmsT9dZOQW3FTOO/ABLbaDY0Urv8k7AooqhkwG0cf5+Gb j9lWCPd/rcYn1I6hanXjxdb7BYKZthHxG+cYmHPCeCw9pgnSqXte3pEaBdMF vrzk3DFCe3Wfy3mzEaRvWhQc2ztIGIE05xWBYWxvVzqyrv8grF/vvh+YNghf /pMxgdbfCPZ9c+ksQgPoPaUTm3jiK2Fblv/43vY+MMslVPetNhJeaDr0eLP2 4rZgoHznv1rCMZ6YEnnfbpzLu036bFhFiD2c9NCP7gckpbSGG4xLCQncthcq Mrrg8FufkUm/iCDSaiB742YnbvbTKMsp5hP+jtBS/OX8hmlVnumKmRwCwS5S vsurHX8MLZ8f/Z5NaPBcVxc69hWuGgd7PXUzCc5v1kspHzbDsORLl/hcGqGn c8fzw38a4XDp+IsIpXeEhDiHfZuVDbiv1VgnK51KCH9onZlXXIfm4HYPg6IU wqqbXexlvRowqPtYBSWkEIpNdX0sUAVHeXmu72dTCQokk4KrDWUIUGoJ5VZ+ R7hey+HYY18CtoC3AzlU6YStl4951oIK4de9l/m1WSYh/O7v3Ig/ediTvhE7 4J9NSKRnZlv5mAPjisZ9G5dzCOc/k2Y4jmRDy7T+hHBXPqGj1P57UWQ6Jt7O 3TkWU0J42eZfZlyfgp+cIzdSqKsIvo8Cbj/0TMRnRoZqLr06ggvLf/wzLnFQ ThH7Q8HzhTAs5G5a9SUKkv9t1VpQdRBue1kNFTW9gqBAp2+Z5g8CVdlvluj8 UIi5/IuOeTBMeJK1U9W9IBCXcq4ed7o6RSDRjoZcFPHBr9yjhCfrJMJQm0WK ao4nbgWcHbb57xdhPbah3/OvK9idXL2jsimgYbGsEDLugA3Tww5L8rsQPLTb TGnyKdqfd0j9KD4AlcgDrQIt1hAJObl/xxozHGi3Wtk9rKD600W6PZcNLJo+ NzsoH+Hl4OfWATcuRHFwSBY43kexZKbkVvE5+Et0RBSYmKIxvnX66KgAPpZ0 aNu+vwOPhovjdxkuYLXN76GIihG8KT3rZFoksRjjInPd7BbyDy7/MoEsOsQe r8aU6iPKxyRua1gJLqpJ1jc8dPGhTzbjPKMGtHc1n33/URsnxJ9cSf6ijaib B6s1FDVRraAoGpWvj/6VlFMFZzTgwEwtxnPaCGYdF/MNIlUxVtExf323KUoe nB8U01aGSF03k7f6Q8xdNHiRaKeALZfTyRJ81jB2XFof/imLZcdMJTsDO5yV 23yd/Vka3h+qWoK2nGD0pM/mXg1QUkqpwSvlgQ//zqyuP5XAlUKxlapcb2yx tQlYxonDJVheySEjCAttxG5a/gtI/VJKR6sUjkzjMzpvWUTwcOE/nn8rb7B/ K3XHbWMhBLw73SsZFo9C25gXyUZCYK56ZMUSEY/sCLmjM7eFEF+nL7H9Kh5s H2Mreck6fP+axEgkeV4xZDyxNhRC/zbBujoqHtp0phJFt4TwdVFqIDEmHjsK JeakbgpBnqWc2TQ+HtRbrQNfDITQYgJu7uR4PDFiPKCjLwT77JV9pHfxOJR3 4mGTihAyLyQ/bW2NB1UyX4WupBAYzlof2V6Nh9d7mpXt80Jg1Twd43k0AV4D ZivVbEIwibuVdUs6AcRwPy/ZREFoTOyVEylKBMtwgeleHkGYu0Uo31dJhk9B qvZouQBu3t5jLEaRioWcWAFfXQHEW9JzUfS8A1X5s8mODX6Q/EdNCd/TUaHy 6kTBVX6cSNGbrVfKRtOzlpjUQT5ssP96bjD2EclJGizTAnxI59KPTmvLBY+e 6t2vn87Dkrais8w5H0K+Cmdstc7jXAI3oVmjEG/0d9q5bvKCXevKUQqlYtyA 56v4XF4Y5+mc9zP9hNL8msaXz3gxa8j97E12Gb52/tmdq8WL48feWNlmV6An c5vVUYwXxWciIh+ZVkHtsBZX3SlePN0lcdfmRTV+KFmkPGDhBSnpBlN7fg08 036EaLLywsC8ce3fWi2c91YoUZ7nRerXZb3ezHpUfDkkUqHCC8uy+AZR18+Y 27mTTo8c34R7F1+GdRMMhGJHMvN4cX5IUcTfoxm3nQepX/3jhZ65fcxSbivu 74w7+k/nPPYVSrVdoWhHnITxE43O8yi4mBJ47WkHvNPYJ2/d5cOL3eoXKXZ0 ouHSeQV6Gn48fxMgfyCuC3uleBmOk+vLrmghL735HSmfDziuJfLjvBB/KY1x N/awHDaN2+SHjMWu9dPfelDrvCv8lIEA1H005OUu96FbOzHjVbUAPlPdtO9p 7Mf6drrw9nlB/OI1D5dTHYSxloeIWKkg0l+7C66zDkPk4xG/91eFcMLd3Njf fgQsdZN2vitC+BkQpn3FZBTHzh4ypIgVRtKhKbsylTHYa3d9U9AWwc6CZV5j vnHwXdmTEn1IFC63+q6O75uACZPkb5kxUVTaJNDunJrA5MdDBIWOC1CWvd/6 snkSjBQzGR1fxSBCK8HYkDqFd0eExgz6xfG5w3VH81Mi0pLYLO7+uojjylFi UxenkUGbuvqMQwI6WoGBaSvTOBnGbn7utiQaaNruDL+dgefFg4bHswmoLqtU CpSYxUhr8JFNGilc8a/1J36dRaBIQK4ljzQuHbp0Ii56Dl9ndfjoHsggkSnM iVptHkZBMluW1bIo2o7zfTQ5j77Os7zawvKouVo5eMdsAUm+q24JdQrQWtuX 4/Z9AQ5vtNvv2SqBdn7urqrgIkTjtAOJ8pfB6kUtyOa6iLTouQzfS6qosdnX xlG9iMJk7pWkoCuQ+hP/9PDfRei/0xI756cB40fmH4/xkPDexqtxaOYqVEp+ /WbSIuFd8IfN06ZaOHrSsC/JmgQfpkoNG0odpIZzPWD2J0HmTdY14+prmA5e EgiPJ2HW7d50W8p13NA9kbP1kQRWBvbGrlx9WJ4a52Umc+hGwM/4lrkbKO89 k+zaSILgu8WnBtqGoN7J2phP5tmpU18axDdug7j64NSJbhK6VUMoTOKNMTI0 3F1O5tbB11dP0lubIEA4bE/TCAnLfQzJ8o9N4bJv/2jQOAmdM+NMdon3kMES PKwxSYJrsMiE2x5zTK0fGLk0RULxiYCt8uxHeGZIf/4JWWf+olTzvGyFr0rP 1w+T9az+npmXw4/xl36kXJz8fZ9L14f+aBuc4x0xmibvn3M+fk7N4wn2Prys xztGglunwNyeKDtIRT23pSPns13Wu5ky8RyRXjEegYMkyHXuv8RxzxEKHy2+ v+8j4ZfklCYltws6j7VGPCCf72+mRbuqrxtYOncEpn8jQeQNm7R9hQd4Z7Sz RVpJyLKXvWQi7gXx/a/FtxtIEJX3tR6i8kFRnbP/SiUJ388F1nee9ofCcj3b RhEJTzh85s0+BuH4DX6rtWwSOhiIlJoVIXCz0CVIpJAguaV+5tlQGEroT5dr RZEQmGJX64lXGLU918EUSMJNe1ejkzORYGjzyb7hSoK4xajZ0Hg0llQ6r/6y IuFUXsAvafE4ZP1nPpZrSEKX5aH6TbNE6Nsl1byTIYHvu9+kZG4KXKw97quz kdD0T3rJNiQdXJpz+PBrEQYHjotpsmZjTs5oKubzItS9UNldlgP7Ltbo/MBF Mq+mKgeO5oNYm3dPTWURnbyJDMUhxWAnFZY/2FxAXtZxGn3qUrRZ8tp+q19A AqPJandBOZ5KGtqE+C6gplWZW1e7Ctz3ZOV3Ky+gzj20eWi5Grwu0sPeFAsg jtKNJxfWYsuAB5c/zkNpfPTdZko9nKQz4i1150Gl3Ewyqv2MHGdeWYr1OYS3 2E07HvwC32r9gomXc7AnDB6je92CC+Yf/cbo5rBLTPaRYu9XRBnoX3gcP4uQ 8j9lAYntuH271mHj9Cwej/3i0lzsgLxznpBz8gwKRLi2FzQ6EWirqL/AOAMR tcxC2eYuMkdwMzA8m8ZkaPUPpz0/IPH8tHrYEhGUb1vVfPW64VpcuUZrSMTd BB6xgOIeXBuia/xYM4WOktBO19N9mDbRl0s5OgUFrfmFM6n98NvaIvy9O4lB 95PZ7NMDoL3EEnylaQJ1A9amH4WGwPdKqPsIxwR2PCdaC3kPQ5kqQ63BehyJ oYxpptYj6GIuvFFRNAavdNXr5zhHcedQ5GOz5VFccX0TWV08irG54yk08qNY M/l0Ou3KGDivMO2XCR6BlxqL74XJMXCvUiElZRhSlcz0SQ7jcK+w3fHvyBDK 4nbjxNo4LrWpX+NoGcCEYdmwrPkEhhzvjDva9OOAxm5vo5EJHH2Zl3eCvg+b B/oTEzUnsSjhdFA+rgefJjV79ldPwkGx+8EDzm7YODOvBXBP4fLPdQG1uO9g pbv0KstxCnFTSo+eXe9C27YiapumYMyn/FthbydsNo+fIe4nQqz988/m0g7s FxbYyXCVCIGdPoLG99qRSbFpccqHCP+M5JsPT3+Fo0t+81QRERVtOgyxLs1Y vaUSL/GdiIPydDIZj5rwRNJESmeOiHZeyQJF48/Y2Ypfbr+JcPum8Nr0dj1u SOifKtsiooen/uVSfS2EfjAbDP0jIs9ZprpKpAY6oTfOhP0k4uGz1P/yc6pw LCSeL3CaCIWszAU1uwrcnyKlBHUSwRqlOt6eUQrJB+MH75HzETns/0trRwlm p39S/Q0jgg4zXwadCsHmftJY8T4Ra0c+z/88mY83v7x3375A7psDsqJ+KzkQ /Kwta7c1havNRbOJ/R/AwhW1z/rLFIT1rohbNGVBjvk1GEOn4GuyW4J+NR1n RcW1EnSmsPN91gUv3Xew7zjMZHpoCufPfUniXU+GSDh1TWHHJA49th5qbUrE wdvpPfO+k7h5wWW74Fs8Pgukz5tIT+LBNZG9H5hjESFWbu+4PgGRL3nf6mei cOKZxlLQuwncrSp62EAXCa4z3E4+ShNweLKf9H5vBFZT8hfzieMo/CI+GvAo FCoZCndfvxhHRf3h4LOngkFT1ZubfnIcsYoH75N0/bFjYj5Nt3IM+86F+gfN eoNhJZWO4sYYJPipQ9JXXpDvY5pxfWMUWhYv/oTe9kAIoyeb06tR6JygHrA5 5YbO9c3PncLkfudd1ta1csYcc5/FRv0IOqLaKh8l2MNKXF0h6/oIhF6J1erc scO1k+v7pPqGobp+5O+uOFvoPFakXaUZBhOvnoGItDWoLA0mMy4MQWL3E6YP 4lZgzl2uDnk4iI95erMT6w9xfThNQkJ3AMPN26peA/dg4kh10etyPxTLCnL+ ut/FG/rL9m4KfbjQpJ4mVmMM09vOR8+q9OJn0CfqTw634WhYo2V2vQfyWKyV 4ruJtzJry8wW3XBJSSjSpNFHAl16yyH/H8jVVXq+x1AXYYkdfe1PvqOp//oi TbA2vKmP9Tx62IXUvaH2bcqaCB3/x25j2YkyC88oQ0sNJIXo1d1x/oYdPU0t Rt/VwBd/lKImsgO/vsWe+qajgrDSO3sPVLTD5MdWLaOCMpq/ubzK6m/DG6+W uq0QRSjZFMfTjLfC/93Nj0rt8mDSo5fW2N2CDMkdr8Ws5cDJYKVdrPoFb/fb CzPelUWkwdFDnpmN2BVXeHwlSgbfdRMf03N+hs2KwB273TJIvWk73JJfj+Q4 w9b1NGnQLkv3yN2ow4x1W84XG2loPDspVVNcg5a9ispc96VxiE3KnOZCNfZQ sUfKxUjD2YP3SU1aJX6X/3Th2yMDU64W7w/Hy3EmfUpPJVcGu89k3JGu/wSx vQW51K9kcVK276F0bDEkfvLLpBbLQedy062vSYXweR2kR2BVQIiaSXSmQD5Y ayIawz2UEPpnvb6aKhc3x0W0Rf1UoD3x9lfewY8YaOCy49NRR2wfrdjYhyz0 jrP5NuzUxK6LovMS0elYWP7IEbugjakxJO4aTIWWqvgbwovrmAqavP3bPBmN 5uN+lGs3UMEQLBm/IxECwpeq2MKN8E0u/0xyQxyGjpm9n3G7i6Y1vstH9sfA M0W/67TTA8x18rC2t0XCtn9bb9PMCluBxnVrvyKgmfmjO+GhLY5GGts+cAyD U1F3tpTPcwTonSTFaIbg2KXGrjxqV+SYPdBKHgsExcsdChvcnviTbvtvZ4If Vnve1F2y8cElNk0182/ekE76SLvFFIypp/1DRGUvHAl9FrvyLhzrG9xVFmc8 YaocoXfaLwqekmfwKt0d8Walq3X68aDkKTbJuOsGv517U+a4krHtHEZN5eKK 5qcWT59RpmHhs2QoZZULYpctN1kTMlEiwVk+m+2MTpGiIof6Dxhl8s1ua3QC /dNmuZ1SuZApn5OtOueE3bvVVO6a5+PpzzXly+mOOBxx7q5/ZyGqsmhr06Uc sVzpeiLMqQRFr3y6eJcdcL5KNiLaogwKciFtFz45QEZop3d+ZiWYnn01uhjt gOeinWb9MdVw/MjVcSTCAXzvx0W5/9XCh7ogPv2jA0rcphLs4hpQ5cEtZzXs AMse4kDieiOSlgeiGjkcMRBtEDP0vBknHcKXHJ0cISGpkniLh+wbbg353J13 RB+9aayGVzuyC/yS7lk5QdOLVjVr7zew0Udb2O92Bqev+WuetE74csqzvi1y xtE4mwhF3e/wyo/uu5vpgtvZn83r3Luxo2qrv87QFfznY/J06nrxMtuTWuiP KxaCs4UeMQ3g3vxIu0SKG3YwsR5osB6CwWJduKCRO8YDX9zRvD8Ci5in7U/O e2CUMfNf8OtRzIo/MHu+zxNvvmTllFWNwZuqerx6yxM0URlZGaPjWFDaUJL2 9ILO4vuGzSeTWBPxKftG1oEjth0vnk6ilMdZxOSFFx7cUe+ht5tEvmJ33jpZ EwQl+9+QtVZC+IWXXl4w20Xo43g2iX3ahVVHXnpBI+Hq9/dk3ZpcM3jJ2wu9 Vm9rq59PgkbUaL+hjxcG7gskfrefhHd/6HV3Xy/U3qN9POMwieLZr63ECC9M iHSczPKahDk1Q75OghcupDel3guZRGB6DF1LlhcsTb+sscRMolL448jlYi8k ZBbvbEudxH76oBgG3pcQr/sSc3X/FLoNTJ6Kp7yEaEX+uKzdFM5tXKX7wuaN c4mehv79U/hBleXbGeeNTro7yockiZgjWESZnPSBjci2T0s0ES0ShX5DKz5Y zaqTkj4zDZOf214nWnwxuGayVPJ+Gjtolo4aZvshMVx1hINnBsm1B10kLfyx dUXghFTgDEZ2+/FYCwegs2nJP31uBj8//Y7h2BGIoNwrxIdyZJ6seN30vCsQ 1b8PqcVEzmI9LkAgNjsIvTLtUVemZ/FShTbW2CYYLs5xBdtX5vDCX23/VaYQ dK+30WS/n0Po5S7+61UhkHhLcsjbOY8skeuVxY9DYTP/PddKex5urLLBhdxh mE0+du3y23lMeLonRs6FoYnt1q53w/PYT2JcFr4YAcMrg1lRWMBsxRFvQvwr zH/QXB4NXkCw6+NptrbXOGNB3yveuAC+0uCHEXRvQDfgZXZkYwEpnRa+VoZR 4I9u7bjAvoj62Qj70JpocPyO05eVWwRP3UwxUewtWH/v5Oo2WsRnufd+92tj 4ZdnYupqvwh76/+UgwTiEbS/f6KczA8v3nRy+Zsm4KLf+5OWyYu48t9I0rfc RDCdUyCa5i3ikejJx/uPJMPAgXHNo2wRg+pchgcjU5B4blnauWoRrLPTSg3C 79C7fqF9rnIR7ofPHJBcSsOjyc398qWLuBOcV5TVkoFDSWyj07mLkGfRJl0L fg9uk4ThnYmLCHEPfsp95SPuSvU7EfwWsX+4c2VkMwdjhwnBwxaLuPv4ZALf 9zzwlIxR7FQj889uz2X1oQJEfxCPi+daBGcBc3DvsWJQJncd8CbXJ4dLK+Rz 6CeMfC8XtyDzTtfQtRe0B8ohHkM8HEiub6Dw71NmTZWgHU/T+aqzAGH/L59v 3K6G0D9B5DEuwOAYX8+RrRpUHwm3zWqZh3uAuFZqVR026lsGGZzm8SP87+fp jAbcKaBi5+Gah7jmk+2Jykb0HbsTxVI3B7HD90XDXjajs/LeA1apOQxTnjt+ /M1XHD2i68mTOYuqUx7NnP/akSy4oU5JNYunAZEb13q+4dl6NhOV/AxypUUt j9t2oUfrj8ib6GlctbA2KuL9gZWiEq7IESKWfkrSjVH3oHE34/U9B4kQDXjw t+9vL8aMdEcqecm+Pmxh4XF6P9zmbJoa7kzCY+G2+Nn7g6DIZWxO8p6A3Ov7 r0svDsOAeoajL2ocd2Ker+8PHMGVwLfa/ZFjeL633OmG1ijmytLsvn4aRZoX XXP2sTHs1b/dS/11BN/9zqS/IfPKrT3046+ShvGig+mVgt84/sZLvXRbGIRv LIObLd8Ejt+n6bFhH0B55t0Et/YJUDGHhZmhD2M/upfvP5yE4CPbZ/2KPRAr bdmbSzEFHWGFo/skfgD8BoNXfKeQ2Gw/KM/Shcu1cWV+1EQMvFqwllzpAHdC SYCfNpkPvp9J+apJ9lELjX7Kr4k4xspOd+tOK2j/rHoFVROhzapjt9r9Bbcu s3IWjRKh/oY2I0KrEYY3BZo9yfxws+Knp25/PfoTdCY+kXlDTpWoMGhbC934 95FnyDzi1RWuInqqGvHZe9bKJ4hwb3C/Jj5XjkJ3vZLkKiKZI+p6Bb+VwDLo kVMZOf5f2Z+By5WF+O0Z4ytuQkS0ijrtzek8uIXX3JI5RY73biKy80oOyv4b d74wNIUwEcJ949n30Kn+1Z7rP4Va9hXZW0XpOGjpTukuOAV60dFr7TtS4V1I 4xrTPoklL7djVHWJCL51GEz3JpHi563bOBeHmlUXDut9k1BwCVTYHItGR87J Zx8/TMBrff3WW71IJDW3r1mpT+Biv2GcumwE/qMJbb28MA4/rqxD7WGhqLxP sdjkM44fTA/driEYT6quKD/iGsdhhgK2zCf+gJsNfSp5jj095eSptOENyuiG Ej35MZh75HS5XXuBYMbX72O+jCK+vLi7RNUdRoWyNxY1RtGvLUsj5OGCyx2c VQU9I3Cg4c54CAdotC1FyhmPgOXRB3W5DDuwcTedK+gfxvbTdqvpFFuo1l7w 0vg1BDXRZ22ZzNbQuGazk5ncV+3cu5qd2C3RbkmMmZ0ZQDTBQ2Fs9QHSFw9L /l7ox0Z8dA+Psxm2b6Y5Gv7uQ+p89Dr/WxOIWHA+5tzbB3etTsp/wsYwFHit KHWqF409ZZQafLdhz8c0Gkfuwz3EM8cbyH6xgfTJx0ikG3fKprU2dfSwJymi J+D8D9B7er00MyZXKIbVsUPwO/7jPcHx+KcWImJUd3yT7gLHreb1zz+vQmtn RTu/QSeS1vQuaF7RwHC6qW4AmQeMl4L11XrVkBr2IcwrswNVxOOmvT4q2FHx Lywgox1rltVrj08o4/C+4oklyzYsbiZ7pPEqgpEi9+De1FZ8UnxGOZsgD5/l GNmN9Wb4/TnM/MFMDrvE4y5q3PqC33MSptNWsuhivxBRMdiIDr0DvcNkf75n 3nL7n/VnLD5jarjPJYNtgXsLy3n1aKHUX2rPkIZAwM6/7Ex1+ONwIiXHUhon Jk/nsb6uQQTXr13sj6TxSuDP0jvhasyoE/o7YqVh8FiQUbq3EgzUa4e8KWUQ E3E8+5x9Ocy+XtMtfy2DI1o/fKyUSlHz5NAPU0NZaO1lt9pnXowbVpyG431y ePFYl/5YfwG6zNO7Sr4q4GqupJVTcB7ZJ1Ps+09VGcwlaTzLHjk4INU8tOuB Kk7V2PPM3fyAL/nCK24cGtBXj6h9fDgLdevblPWemoh0j3IutU0D8dTQxoTa NezbNNjNqpaCu6OOIj8FDcB7aT42PTgRoTZ5w3drb2N69lWdB3n+XaN+Y3+m 3wS8Z2KU9BRjQFg7Lqpw5gHqjkz3OJREYt908A8FTyuEdJwIsHgXAeu/9UOP N23RdDLKIlw0HP8luCz87rbDqIw8XcRoKEZu3ksUYHfA/wHTJlSz "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c8lt//x43sWSijCCFJaVip6xURRckso4wohCiRKCtZyQhRkuyRZEc+ ZkMhoRLZI/u+7Xmn3/39nX+ux/NxPa5zzvU65/F6v1+i1tf1beloaGjItDQ0 /3se+BmvYXdiEaS/VtLmEUtocw/77qyxCPpHe+0ygpewaTTBmzdkEZofFrc+ fL0INhEV39L6RSjpsHXtXVuAodhhvvsbi3ijqcnrqbOAmNCVJ7eVl1CaYxLf lDYPxV3c84/cluB29uX5GLp5xLNfiK3NX4KvdON+Hds5DNKIXmGdXALj7yy6 u02zcBKwWH/BtYz6k9a79FxmoS7q1ah8eBmuIZWy8XyzyL37m+vnhWXQhdMo H62cge7N8tEbd5cRWDCXvttmBoomvuc5U5aREir89xTHDOwiiwZMi5fBG3Pc Leo9GUcqGE9mfFyGQQdXo9B1MsoL7h2d+bUMGrXEin2CZChraXorTS5DRkFE 9uMHEjpSY5vGZpcxEvzWmy6ThEm9jfb4lWV0Pyxv1g0mwex+9iOtf8vYVilE zrMnoc/lhmYalf8wp+9itSOB5v/HCq78/yBB2X7rWzMqk3OiaupsSBhgmb1e RuWnH0mSIpdJuGvfHHeVaQUnxr/UhauTkHtczm4b5wqeRR5pYJckwVBUpP8j 7wo8/T8xJTKRsCThsJwhs4LKUB7tvhfTqDVarvc6Rv3+3VK/i+40NN/mHD+j S11/2255p39T6Kg/KShktYKW11ZcrflTyH6gvz58YwWN09vOJVhO4eFGs+u1 uBVYPA5fOF0/ibGalI895SswDWzrdZCahFujzKxSzwouPfwgOvRwAsu5GpWe NKsw4RPheDE/jq9BJ+sSxVdB6mnbG2Y2jikvu1CyzSpSFIfqD6iNYdoik1KU vgqmxNolg72j2Cx+M6x5ZBXBdMyMjwX+4Kp6y5ntEmuYe1Yw+JxlBLm+yQ+8 L69BesVa+wBlCPsPL2z/mLyG06RzGvyzg1B7vtycubIG5oKg2rprA0gqd78n fmYdg/MKnMM/+rB6p/2W6/N10NM4mYb3dKPCI0cjZWwdfMdeeUSTO3Ho/JhL nCwF1pF6JhscHSj/Zi2+6EDBsXm/iyxHv6PRk6HpXSwFnQkaR78wtOFZRqdj QjkFDGq/lUOrWzDC/kpO+xsFenX9NbtuN+HFSmXXy14KpDK75e6PfAaFKX66 4Q8FajLbZ+IYG8DveTc7aooCL2F2Ewn5j5Df2Gh2I1PAE7vT+HLNe9AKd9NG zFDg8+qNkJFxPcyV5YqaqO+VDhV25C/XYkEq7JDQNAV3ukUFpdJrYOvVK2I/ RsHurFWl9qoq0Lg01S4NUuCQFBVQXlaJayMN97d0UzAjoudVVV+BrLHa8ZJ2 CjLCX3EGDL2FoRLP0O/PFGjf0kqO3VaGwhASvV8VBWb7dpU7W5ZAqjTRfi2P Au4G+Rp1gyL47Ob5yvqMAoMwM04XuwL0Tf6rextIQayquIf68Xz8bntlzO1M nZ8l8M7NhVzoV0fxiRtS0MOcJeczlYWm/dyfmZQoODg84NcmmYEbJmu+ItwU hN7NWj36JwW/Wq+Uzg2vgzIQxiXCkYypK/xGk9Xr2GLKv5HAkQhVfq3iXQnr yDvwOoy4FY/h5DmFZpd19KakbSZpxqJBjV2GR3Md3dZ9doR3NEyCnOvFt6/j djZH2S/mSJwqZNXcM7MGlTMfek0/h8H9Zv1N3fo1uHjezVPmDMaiiGQWj/Ma HGZU/cIt/CF6avdFsW1raBQv5aVh98ZVwWAV2p+r8OsbCLu15I6uufXLoTGr sCE03FpabiCIn+8ASX8VfwpV6ao6naH3mMvacPMqbsXVi0Ya2CPCfdqqp2UF n4Lc58ZabZDvuckp9dEK1jornI/tssJoQnX0uzMr6LjZ49+vYQ67N2ML31eX cb7RS72U0xjbY+6xFGYso/d2+R3ZE3pYHakOumq4DCOPu2Z+QtpI5Z/T3ES/ jOf2sf6VphrY1knkRRcuYUa97wj7wHFYWra9E7i8BDPVXVHCH4/grtrN6ee8 S+AcyS8MPiuPB5r7FlU/LMJtem9xx6Qcltkm3efdFyGYs32gY2UPKtj8XAul F/EjrsbFMVoCZRyRNPd6FhBruef5vnOiWD5fF2cYvQCvo/UvJweFYNRmIn1Y awHhpWssK8Fb4Va3cU7w3zyc2GgyMzS24N2i4Oxrap1oHQ5WE1ZgR8bz7cd/ ac+jokhKz3qYAXwK95UjF+ZAv6G3BB5avHe7kfktaQ57Gkjlmz6sET6H9io9 Pj0Hj796lde2LhLcYfKPWpdnEaP/n8WBghlClPUZG1fILKTvj9I7uI4RS5fs Vha3z2LlA9s4O8cgMfiBx8S9aAYtQhkXtw11ETm7XW746szANdqba0XuO2F0 4FMGyzcytuso1PFEfyXoc+iLx9jIOCWRUuBu8Im4NbVRJ0lHgrVUk6TA4RqC Y1VOQJN2GsoCZzRnWkuJbrUrw3+Zp3A4p9RW4cwbouLrnU+0ApPg8v06dScp k4iVFG1iOzAB05PDLyMMXxKvDQICO7aN4599tsSt/idEpsgPVWfWMdyrn3tY 8jmS+CS2w0WPeRQaszTj91mDieYzBp+ZNv/BZz02/i/+foS8ZJzAjl0jEDBP 0dWe9yR2/echbBM2hEsmV41jz1wn7EhN3CGbB3F+kkZSbr8NEVCj2/7ffD+E f2++vcxtTtCW3xVTaOlDDDenuEi5IcG/SjOz5VcPntv+MBFw1SXOLhZSGGi6 8UZgoXeAS4to4CmPFtfowqNjUdk5cicIze7Pl5LSfyF+pi6UYTOIUwv7fY54 /ETYyURNuiBF4u6bjeOqd76j7LKWXGDnQULyw8GtBjltIA81lk7y7SceCjPf v0nfiqvbD/4J9NtD3Ph3oYpmUwti+HTO5BtJEYmTHc8MNJqwcSH5hRC/BNEv 3iz4bN9nHN7svUfppDgxsMj3+KTzR4Qq6WmVK4kRMX5avSNr9XgtI/bnwydR YuSzWgp3Uy1Oc+WaT3SKEpaHLC49Lq6GVK3Kx0wLMcKbMTLjy7FKSCyuJGYY iRObxJ27hqXKcVBIv/1QzS6iyjJdlPyoBB9FI+bFnaQIlXOyM3mehSAnXGDX 3SND2Ff30j7JyceBZlHdxh1yRMnFQjVN8VzsuFgrV+F7iOBZkROtU82EkFZS RhyNEiH+ZHlOj5SKVOUciVMrx4gjKj286bwv0ZZeyfF0Vo14Z/Pxyy+9RGzV MdnRHHaKaJrnVt155wkEWQumcFOP0DGzCLF1f4wVPZ2HhwQuEFbkfh87sUjI XtrNwPrFknB4Y6OgVBMKmrpLFRejrhLcffe2y8o+AFOjAWtdmgvxNNU8w8ra Hx3dB38nJnsQz7JEz+/3uoeRSw2ET4cv0eXfwbhj9TbCp1Te0qUHExxW/jc6 b7khOa3swtLWaIIkCDaTehfc6KrjCk1+SvCaWU2+97iGkR0JbW9TU4n2IJ5W Qb8reKvY6DvEkEccb/Fr5XSxBn8UC3nUs4Rw37Cu01C4BAn+zgX9tmpiTFmg 4k3NBeQQaqyyCZ+I1E1Jr4MCDHCQ58L3vNE2wqjo3Zjv+7MQjLGM19XrJZhb 7SvDVLUgtr53stJgjPB9TK/rIXICDLlP3OaD5gm58vejMlIEIuoHKmYs/hEl bZsXt3xUxIenWbqe8iyQPnmk+0fVQcRrpCTGqPGCKUA4ethjP3a5x+6Qr9kO ZkVH+isOe1AXaMC5cGUXvG9MJRjISmJlOZd36+JeMDUL5R55IQaXUqMo2vDD OJCVd3+HlgiKZ/XYQ2SOYacxhSFWSxAfAlLM3xapI5ssv3Ty91bwGs+Xhrpo 46hJLnPiIA9Mgm1ND+zXR/XbWDN73c3w7c5891TgAhxS/Lz5pDlxov2MUBfZ AhuH22aTplkhRXdM/72UDYR9NCdluJnx1Hkg7ed1e3wwsYgpf8CAWOGhcRd2 F3yPrl+x16JH8Ntq3R1wQ/fT8ESbM7SIPZ26Y1+IJ9q28/jd2vGPuMHxoVVY wBf333T0roVTiN1JfPSj3gEYnGPWNVJbI0z6cpXOxQZB+UoyC538CqF+7V/V 8oOHsK2UPspltURIEXqMFUQUdBOXdLjqFoieFiYb5Z8xkAt6fJjDcJ4oPVrC 6b47AQV/d3/x45kjmMuP75AzScKZd9r9p/7OEFed6krpTqXAxdFL4jnnDPFz LPG9F20GeK/ZJVzuIhHJFTcGpZyyQbnsdeBw/TRxK+ZYduOFPOgfW6av/jFF oEtMS3HiDeLCbWVG9k0RpRdV6Dk2FeGwTpNafcok0S5pzFxuWoKB6yn1D+Qm CYWDFtEx82VwyTK569IxQSiyPvrD8b0CgcIfn7fHTRChDbs3hdNWoTyYe5DX eYJgU3pdlFVTg5PTUuss5hPEO/+XNz1W6vDKtsWRxm6CqEKH3qrjB0i9u7Ll YtQE8aOx7mDbzgaoZlDyX1Dnf54zPFrL14g6QbOn1kcmCf/fo362Ol9xnfDy My2fJDy0vlz/O/ANDtvGbY0NpwhXR5t1vv/asNXqvxSwTRPVPi1rN0u+g+zI xi7YO0247Bgx3t3wE4eXLQQ2NZMIibArw5azv6B55hK/4i8yESuWWXBn72+U G+cV0vvOEGmOog7ibj1wk7Y1vCE2S6z9kHQPruuDcjyJPa99lgh68My8gXmA em9ieNhd5wiXr+OE8doANs1s+zfMP0/QHG7Pvjg2iANefGpujfOEyHsf7bOt Q6hQvD9DCV4gvt67nlxRNAxG28vfG/QWiYf0j7ZbPhqBcuDvwN2SS4Si/RY6 Wcs/MNr6NPAm4zIRzCzZdWL3KPIplTRmt1eIqLPuPHJaYzAiMdHlvlklHGpC uQ34x8G4GJ1SSVkjpsx5Dbb9Gkfay8Fah4sUgq3qW39s0AT0O0f5Xrb/Jayr d1ccpOYTxuSMEnPLf4SXkIdmeNkkPJSeXTD2p8FXrwh1V+UpqCefNe+0pMWW o3v6GvKmIHWCYVxPhw4TU3XhkXzTEDj1K8JGgx66CdX9Ta7T6LBmMavR2YSC Z1aG/vXTkPtaNnRomQEl+U86JWRJiJ562v/MlQmb1iL/MbiToN/YiXRGFlyq ClKmKSYhQ7bAiustK95m2g1FjpEQU6ltVhHEjlvMdyzY+MgYOHiUkuXBiSXX ZaFnR8hwdnt4j1aDGzf26/zUMCWDq4kzL8xyMxJes8ST3Mi49SBcnqNgC6Z8 9Uz8wslYXm74ZyTEC5voo/31L8mov9beYPSSD81YuHCzkAyli4dei2lsg/Pq 4IBsDRlCEl30FGYBsI8My3o0kuF4KO3yGTLVn5hMkiq/U/Mvq9Nawdp2mFwU /nmhmwxZYTkpi68iaHi0QcM3TMbc3Zf3ndxE0Ut8HOGbIMN+c4934G5x2HT3 t1aSyJife1dynEkCjErZNUZzZFy7Imv2iVcK6SP6s0KLZJxkH3yfbSSNx5bi wceWyTidmvtk4qsMvmdt2PWukGEi/fssxXcfxkNzIvjXqPu7vn7wb4Uc/qrR 3t20TobbETdXOdODGNgplFZIZU0hoSsZooehLetWu59Chs+F+l4NPgUcmZXI CaSyZbStj7GyElrSo6bfUVkyLl00NPoIjhQ6GPyi8u18trK1zmNoPqCw3ENl r0rRd77vjyOFruD3JypfF3JuOPhTDd+sTp54SmX2TNa249Ia4BF2HjpPZaWI p2UVHzQhlf5Lle5/XBXc/Lr4NBYLPqwlUPd3c/WQ+5Wws8i/ZXWMlcov3dl3 5nno4c67TzqW1P/TGXh13X7NANfu9nA/XSXDzDIz3q/TGMe/haYVU/WQvsUm pSxmij63CvNXVL02OTEnynldhMLx6vbnS1R99pWpzyZb4r/i6u5rVH2XTTUV 99ZZY9CXW3TLAhnRXAuuh6RtYaOZ/SqMeh7vNA3H5nuvYoj5X0/bDBnrN2m1 PJMdsV9lU3rTNBkPf1Tr793jijGZ989kqOdr7iXoZhXrhucvm8e/jZAhN+Je WvT6NkK+FPo96SfjgVCw2+v4u9ijEtWn30VG2Thx+HyVH4JDOUOa26h6X2oI 0rv4AOQS1gnKRzJUd1QTQfsfgu+IHiPvWzJcSqSFxOuikLnxzFQtnYwrG5Vu fhZx2H9i6J8P9X7HVydbSuxLRPlgcPy962SU5o7KL/z3EnSyO7tjT5Fh4/ri 97RhBjoZZ7JyBMj4YrPCdY7/Fap3BgVx9pCguOYofTG7AOoFs2xGkST81B1R fFBThGYNse7YyyRYiB0iPvGVglVH8oL+ARKG1Etf/s1/C3J+YXLHyjQODOZL v4l7BxuplHXTcmpf7/Are1tbFaxjuTWWqP5gyfA6Mlq+luqLaX2potNQm7oh MkFTj8bR94XPvk3hrdZxAZa197h0NiHdzn0KY/erzOZ3fcKUl+DH+c1T4E8Z X+wN/IxrKp8maVMmIRSo8GO3aBM1Tw1e3ScxCYVwHw5N669IVar31y+bgIS+ J1qufANDUjbLJUwgYE1esKCwFboFtVr6leOYmjGMbudrR0RqXQev7Dji6jgV mXW/w1KxL5f+1Rh4ZHY6WSb8AHGtSZ60cwwXA6CruPgTFhNfR/+GjmLDakjy vfUvYL/j5VPjf7BXu8OJc7ATH8uqHduP/EFI0tWwdYnf2G8sXCuROgJFvxf/ 9t3qxoUZ1W+1tCOQy1Lap9jSA/3sGUZ642EInPjS7HCoDwFblNyOvRiCyVWR LKdz/XCue19S3T2I9YbRbVfG+7FbbuTMwKFBLGqm7356fwDm3XYsJ/wH0P1c afdt0UG0f31MF/SpH5+PPmDQrh7E7Jk7Sefp+xF5qCuHXXUIR56PvWgt6cXp vMA+zbohyDg8OP7kfA9u38qP0VYbxl0FWsrA5G9qLnFMOlkzDOWA2aXyG13w r1Q7q6YygsXEit+mU79wXyCsJfEZtW5t1g3/ltkBBs2z3bErI9hUzsZx1ewn /G68y7LR+4N0+0b6CqYfiA2RfymR/gf/wu7zJuW1Q6J1R1/HHDWP0Zpb7D3b hsMVThumyqMIflwv3jLxDYatfN+cPEZhnPk+5DlrCyp2/kl6nTuKAP3QwXdo wqethx+ZN42iz+x07zGhL/jGfXYjamQUewdH+D5RPkG1srAsYmkUEutBzndG P+BSbXpi1d9RSN6f3VWi/h7mlfELDRujoGmpI0Zy62AqX11hsDoKqbPqAivC tdhGG3eNfXoUjLycFv+hGulX1nJfdY6C7g5H6T/LSqg21hIbVaOQf8R49lx6 Ocxv6tP1JY7i835p2RmuMiyf/fFS/eYoLAqEt6alFuOokOhjqI3ix4RrTbR1 ITTUm5YoLKP4uXWBW/rsG5S/XR+K/vkHoTkHRBNv5cFka9Hj/CQq7/Mx6A3L wd4nBb9irf8gTcXB6khvJmplvcOjxf7gPJfkuNi1dKycV81e6x3B52Lacme5 VDz1Z+aQjh+BeEjpV1eZl3hIMyTvfXYExzabBR4qTMKdOZZVA7oRXGMjcW9z fIYMyxgHruJh2Iyks/ndjUd8+97v/IbDoD9ucYnRJhZfZV9tUpwbgrlmyhWv gmjEqlxMWXw0hMbXcX5ippH4GWQS0L5nCH5sqUcm0h9iMqKkS/XjIJLZij2f iYeAn+a5SJrVILZ7tyuuCz5AoauQ77m/A2hxinFM8wqAhXpZUWTCAB65nWAU VvTDVFQMU6rCAI62/z581+8egEvPiYZ+bHnIR0NXfAfTL+qqbMz6USzibfLY 3QOTyk4Pwvr7YHNHd9Kq0A2tbxODODn74J50KlPD8AaeVhWnhaEX7az2rgd1 XGB0rWtu760erLvusL0t4IQRSrj9a8tuqu6DPiZ/7bDwwfhRpeFvGB5nfML8 0hbM/eY99npdkF/UM4vpsUb3sfPahcad+LVq7hweY4klz3vLvja/IOra+k/B /CLMGnrji+90QJlnb+TffaY4NtMyI5bwE/P7WRqaA87D0ZylvNb/B7jurZ/v eW2IbrMg+aOe3+GQmln/7bI+yBKRWQLe7RBZ7+a8GngOIsYnhnpC22DI3xv+ c+0MxpinW9nSW5EXoHes6pY2bBuzVKW+fMPDQu1oPatTkCzjP+A434IvJUaZ ytmaeL/1r2PwWjNC7b4bOw5pQMIy4k/AzibcYya0W/3UIaXw5lfE5S9wcK+w DnM9Aalbj5/O1zZgi67t6dg0NbifGvvLfuQTOFaNT9/lVsP5SD+pc18+4JXO Mx7/PFVEivFv0XR9D/Gg0xEzt1SxU2Fn4kJTHX52xSzI2Kliu0yu4NXTtehU aRcXiVdF0ki1Un9zNe7sqlsrolNDSZ8h9h7/D+MHCZ1DmWpwvMAxLzpage0n q/imH5zAl+212Q+r3mLbgoggS7o6IuiuFzysK4U6OXbDjfEkAoP9PZ3OFkPl 1EiljrUWAnKu1D0RLoS1nYrgZQttcMcukt/IvMHIj4uHJLfrIpgt/59+7yv4 VERYTPfpwXXB/pLux2ysfb1UpFhliLgL9BFjmzKxZYcs+brWBfj5cDW2Rabh YP+FSNEMc2RGXlDKk0yBNeWDZ5mZFUJielXmmZJBa3Qy2/mALcbqVzXCziei SzV7Uw6bA2as65ZLeBMgM7oh9IbfBZc74vSqlOOQSyKi0jdu4r5dfEVexWOY /XfvT8rsbZhFHhfkCI/C7zSnyAAVH9B90wh11Y1AJMP+AZHnARDcUuB2k+Eh zGlebw8uDAbXgyQ6zX0hkEibHtOXjgBPmdxkUdwD9MZjI4M2BvOf2+Rnrt5H TfSXTeZlCWDtS+7VeuIPz2jm0CfByUjOd9K95+KHy7mi9UMbqdizpzaD28MX Vv26fgwyWbixeD/eKNIHO6V8bOfUX6HicuLJ3Q73QCvStcX9/huY8191X7l9 F+0pF2tENYvgkZfe4lbhjVJ+ZxOyeylCb9rLxO71RnFM9+DvnRW4ePO0Smyz F8SLLxqw61dBvr9rjvzMCwHjW2xSwmoRTm7qNovzglDZ7S5B4j16rlWebHjn hVtSRu90NT7hxTURJTM2bxybGnTJTvuConJtrxh7b+SoW7ukJDZj2qFp5eag Nwqvm0rvuPoNdctvsttu3YWKa03BoFAbavbZBbwQv4e3LT/jhCfbwVMeGNk3 eQ89WdvK4tp+QPRyC/frrz4oaK3WMWnpgN7bLEPhK76o/cN96WNPJ87JhzXZ z/kiu12SJW31N3SuXF2ze+iHRP/P2seEe/FNz37e+LA/otUdetTF+5F7YNDz zoQ/Ru75f8ij+hptuqSYZH4A6P87gIaTgwiQdLnz1v8+XJ4rLOzUG0JUezG9 WkggtjZ5GeR7DiOM7+POlrQHMDcRC86OGYGtpIbenydBMG5mtRd2pNZVgZ+H bycE47zuESYjpVFUhLP50OWE4L8vs8aJK6M4cbDhMfuXUPQeMl0OoPY3or+/ VkuthWFygO16h8E4+C/P3CAfCYdZbevcE9I4Gm5n+rGEP4LDogrtovcEmkKf XZOcjQCLQpav+r8JFH/1D5HbHoWJ91W3+99Mwv9MWMzZ89HQGvd3UTw1he29 TAxeuY9RJGb5Ie7LFEjnXJmvCMYis0+LZKtIzYt+5mLD6XFgVSl02BQ9DcHc 5f0zuvGYDIlAYfc08h54xucJPsXj9UE7PwESzCS25TkwJ6JO8vaBs6dJ2EnP q5QqlAT7uJrkShcSsgokk/xkkjEXwXFR+REJRim888WXXqJoYqaMkkpC+Hqj 8VJWCmYO/13lLCJBmGaz0TRbGgbWuBTOVJLg7C7GbhmSjoHBdHnnGhL2y35h khfPxJlX/AeZqBw6H9y/gzkb3xmlKqYqSLh82ykygjcXnbJu5XYFJJCiogrT tfPAIHsio4O6ntVluRdlb/JxeW3goFc0CV3hQZteixdAxm5R5N5dEniUZ41L Qwphx3jebNmG2k+TXJgC2YvR5ifmP6VFwg3Txijd1yU44VHYaSBNwvXQsOfa X8vgb3qOrmxjGkvlR/dZi1Vgli/5U/LXaUQp6FicyK/Exrhl/Nv4aTxSN0te 9azGEcZe+0fm0+AYKfixeKIWNf6NXU8FpsH9jZn+oAnVn4+92eY/PgXjPbZO Ij71sDJub/9XMoX/A83rGzY= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFl3c8lt//x4uMUhoqaWshPlaRUV5mIjsUUfbKrKxsRUmREVnJ3hkJZbvt edt7j9vWQDR/1/ev3/XP9Xg+ruuc857nvA6rgY2aMdWWLVsYqbds+d87dnh5 zy41MhJeWEUbXSDhW/XFhb0EK/KxLtwk+L+cV0cPEFxN5vt6leCo9i7OgwQr Bwfe4yX4O4Nk5v/+Hy/Oz6Eh+P1q1ZttBHsIC33o5SeBtU2UYUWVjDeFuP2e YMGOYzUdBG+7enMimOCbOK38gWCZ7Zn3Awjm1xdseU3wY7PqO6kEuzilKj8m uGI1V+N/811TCqF5RDBV7NPio8R6ux/5XnQjmDV5suAhwSuNAlcDCWYPFeLr I3iJa0Mml+AS57itVy6SUG5m5zBBcMy7C/5hBDeY7BraR9hre+b2q2aCRcyY 068R/KjV8fgCwcGbdu6eBB8xcQn9H8+qs18oIHjXv+vB9QQfLCvYO01wMdfR OHeCP+a+30J7gwyRztPvDxJMSTkyeYhgqSvrbAGEPTcFhlkPE2wgbnd6jvBn w8Cj9n//P9aN1uAmGA08TUPEfMEhEYymfCQ8PR20/IRg1texYWa8JHyNraqk J/jgDqUBHx4SODP31FkT/lz/d79shJsE04pRpSoVwp5QxUMhBMcoTXIzEbx8 2oqxnOA4yfrZh8pk2G8I7XMkxkdGrJ4+RnA/k9zX68T8ZRFxrSNKZNCY9Eqb EOsrK600VxBMeXpwRyVhX78Kq1wDwaKvB0/dIPybtI68+odg2g+PRHYLksDR 1XJRj5jv04W9o5OXSHBtX3ywQjDPYF1BjjAJpbczaDMJe7jjbtJbiJLAuJZc EUzY/9vy2Lf1yyQ83yE9G0P4V3v6reYVMRJSDricqSHis7C9dOtpkJBRz/z8 jzoZeqfnfwQQzKtvPK2qSUb3zfhwfYIn+Dhswm+SIf+Gt8GBGF/ZZ9NXdIsM yy6ruXJi/sQww8JYLaJ+Lb6cERIh6j3D7L2ANhnnq2pEZwj7Kb2HKo0JVmgJ 6h4m/L3tsy64k+C4TD6k/UeC6rXxv/TE+FM0cuu/2UggOXe/VSPW82rv8eM9 RcTPo8B4gbBvf13Pk8yjJHxyrBeeJPwzSCrxmWYmgU/xWMYtIl5aeUlRGvuJ erklfsBZngzSNLPyw30kLJ8py/C4Skb4+STHLIJ/XfDR+CBJxn98R0NvHiDh kca8miGI+oo6tZ52mARLFrYM3itkCI4fqdZmJUFz6Oz5elEyQs4HvlnlIGFh Rd1Ui+DSuv2cckS+YvY3BO66TIZnw1XOneIkvGH2ttgmRoa3oU5DhwJhL89h c1UJol5KeAv3a5PAUOok4yRDhpL3tsVVYxIG94q05BL2ulkK2nHZkbDNh4dt lsjn9WfHptlcSNBl6mz+QcQj7oHGb8XHJCS9PnQ++y4ZuqsXgmn8SGis2Elq NSVD+khxcok/CTU7uGJKbIh6znz7k57gi3rDFvaOZBS84kjL9SXhVrq4ULw7 GUEdJty27kT86C8qzjwh45fV0tkT90lwVLWUn/Ajo/Jr19kKfRKMZJymLr0k I1vpm6+nIglcofnsAQFkvChV/1giQIK5xZ/zYcR3qQuXs7ceIcFBtm5+93My 9m7Rstz5two234342x6TIRatvK1utAoXnAROVzwi406SbIBUZRXidmyeWrAm o3X0TF9+QhXmPnxvddQjo+hu0GXjZ1XY+VSi/D1R7/9sQr9m2Fbh6s306k0i 3tkOOtrjulVgHc6xUTpNxuHuSkYO5Spo/BX/U0tP9Gt+Pv2iQhU6zuuZbg63 YaG05PgFrSrU+v7cWV/VBpXyW3vZTavwysLXvy+tDdkxx/ZbPKoCrdghdIe0 4Ua3RPqekCp8Hf3tYuLVhiDjuPCjuVVY7qRL5HnQhlalkVr7ripYnIuXaDZv Q3PxVtG531VIE4nkajFuw1KsAjPbeaL/StV/3LBoww/n7fZ6RH5FKwTKBlza 0NNryhpXTtR7iMh1+ag2eLocO1i8rxqeb7+6cTa0wWH0StK6aTUulX7MbKIi Q1zh66GDJdVovXxAhImd2N88njnoM9TAJcZxcYXo59uVcrIlqjXYaBtvDvEh o5Oce6rueQ2EyWdupGcT55Hu3nXBjBrCnxSJ0UEyHhRX3ioqqwGv15ig5vZ2 PLk3TpRnDeQMslYZLrWDxZHV2bCwBoq0U1k9hu3I4vjLZRlRg1Y+1RXTgHbo ylM/eWhWg/SX+1NVPrbjMplpx5/TNTjm92CIrrcdlsEh9Ueaq9H9NNJ39Ws7 TCXErF7qV0NQN5XOZVsH6riumVVMk1DQJC/HuKsDlnMPF3qJ/qBz+rlkytCB JZt/f1v7qzCqTN8Xt6UDP0fu/BlSrULynQ3N04vtcKE/Wm1ZUwmOtZv/+bW0 I6nV3PPEpUosq+9lzU5sx3TOPc2itArsY2C7VWjXju1+0Wy0JyvAU5HjxCjQ jnMmseuRwuXoWRPbZrlCxmRhlJaZTBn0bKrvtMYR/bfeoWZgVgrJcftf9xXJ YAw4w0qVUoLMQO83rylEvha7+yRpSlCGk+Kig62gnR7XaL9djMCUVzvCGlpg JB/vWkVVDKO5jdjQkmbYjtZdcttaDCmbPUEO35sQQOUYtFeyGHT1R9aFLjXh 2J8DzQnlxUivkWH94N+Iawu7JI3cSvDpWIS61moDjP6y349zL4XIU5Nt4g8b 8FTn5JnK2jLEBbLMn2FswIwtbfIrrgqwfLof41JdDwbj62Tro5WQF7ya5xJR j+sce8JFL1bhLWXdKCigHu/YQ/zEJEmQj3H84h5dj7UwgZgMq2qw0MmdMybG l5So/Zz7WIO3nnWpt+kaEGrJLRDPUge+4I4LD0waYG+WPhcSVo+3a0l2BRMN OMHq1W3F0Yj/ON7yc7g1ovrBfePMliYo8tJ11gg24Y5SP/1jtxakbKMJdNrT jLOubjZdfG3IewDTQwwtmFCr9DxuR0aUU9xJXbZWvAy+kPBGsh1U9iE20Ufa IKlsGYXhdnzj+btVZR8Z9NmUYibrDuxvF7cTJvI18uOWtOG3DsgcPpbsJtKO EuPHHfdNO8H62zB5gxinMTXz1q+xE6puZfHm/h0wl+oO+HOoCxGR5xksJTsx Z7+nREylC4/sVYVsqLpwlFny6oRVF/Yz1P6if9sF53d7F2rsujD87lkpl1g3 Klx9lj4bdsHT9p+g9EQ3JiPbdccluyDMPUz9xq8HfyVoIx8ydkHTINRY/kIv juWE0LXVdOJpCr2u6kgvKhvOv7E264SD150jtn596Pr7z/rnWgfmAyq6Kpj6 ISeH7Zx+HZB/XRsgHt0PQTZzVRXGDnRmnxmfZh3APsXm/S992lFdm0l5kjAA 2bFX02eJOnbY/fZt84lBrCrShfleJ879wbB06deDuKsb/fWVYBsOP/4weZ1q CHutx0Pul7VAlV362CHjIfAWFPyu5m1GQ69RW2HxEGK35tKzvmpEbj71w4Pb hrHx7b5u3mg9wrbSnjgjMAyGG+w4YViHy19/8ebeGka/dBv5/lgNlDKWWtWt hrEoNqVdpl0NurzuK3l2w3iX9dBHp7sK8U01a75Gw9C8oOA5fqMSNnkJKsXS w3B6Rl9Am18OZZoIVvu9wwi1H+le7SnBuaUX0+cbhzB3eyTtI/NnCDywiPho PQR6+BV0uhbCpnum5s6/Qbwv/Hh5huEjpK0bLsy6DoKRiU3gakMevp3L4POf HUB/b8TbvsIcGPl5mi9LDWDgvrjsUm4WMhJPtewL6oe7b0vZ8q10PLnpnCfc 0YdI+T+sefopWNI+Y1K3vQ/brcYub6tLBMcZBvJZkV7MO5mvHfOOR1TSKZN0 4x4sz4vfk/J/h6747gyvgG6cPkGrkZwfg7V6y+vvfLuQ96o6y0YoEuIpWmbF np1IomWNN9YKR3YFVZK6RweODqtvBPwNhWHx2Jfj19vB5fX+emxWMFaqeKlu E+ebM9ZZ5CdfIfpAjNBLplb0MzI4nt0RCPv3PJ/r/zbhsv2pDYY/L+D6joZG bXsjhm3E71719MdmvO3sro46qErv59hUe46doXKvBOprUOEoeX+l2A/1iv/V bp8nIciihME01Q/nUuaiVQSqYMSy3adw13O89Fj8EZhSge6XCjs/U56jvyS4 1MK1DOYrkRV1l14g8VEgv/5SMQS2J2uc3xYAV7XdJ3bEfMK/o98jv3G+AsNg V2iabyGSvbrdDeKC0Gdrs7c16SPW5B9qdlmG4ODwrV/KVvkQngy8c/5LKHiN DMX9FD5A+eJobXxGGKyM58U5JfPQFuwaNJT0BhQmCP9RyMWlRK0Fy5lI7LGU mhy8lwP6eB2rdfsY7BDoG7ITzcYWnpBuVp53SM+iXlfa9h6+hz6GqvrEwfBr PrPZVCaqd0qz2m1JwHkvyzetAxngRZKmYGIitlzxf5o4k06cl1GC2Q+TEfVD bfYIXTpx71l6K+2QimdbdlNKl9LA6uz05GxhKsZfmEmndqXhd7+XR8tGKrZl vs8dKE7DizArkphoGhyfyI6rJ6SBfaear4t7GnSNQ+in36Vhgzd/v7hPGh6x f5qxf5uGRKk7ebQv0iDEneRCF50Gya+Td9uC08Cp1PiAHJmGmnM5IhfD0oj7 xf+e/3/bnq0pMHyThs1Oxut/iXEGF8y2coenodjU0NOQWOfx45CvVaFpODv6 7Rt3ShqCfTzCbxHzMiW9sf+dlQbTtkPflwPTYM8xS9+cn4ZwpgMea45p4Mom D2htpuEQ7+tsSb00sNwsf18klg47K1WRnmtpKJB83jj/JB0cArbd2XxpmB92 c/nWlI7d25p/XwlIhd3Iw7t665louspwxmgzBSNCQVc5b2TDV12I9Pl+CpTe hJy48J3Im+qRmxObyXigs7j6n3Ye1uLrOB4HJOOy0Xx8zdgH/LX+9VuBNxm9 F7/PqPh9hEpE1uf1kSTc3ppdLaxZCA4Feg6xyCTcVMlQ25D7hIYK3TiKfhKO b7twcqdpMbqnqS6PXE6CRdNHL3XJUjTFfCs+fC4Js1THlVgqyjCq1xD5nSkJ hTmDMofYKzDky3HxLm0ShKJ51F5vVsBwr/btyb+JKKZ1VdxMrMTGyG8y789E tN7VrXDVrEL5msmm1EYimtv2W4sxkpC5XOPLsknw2zGt280k3OvjPfL3TyLC n+44nlpVDepTLgVn6JLQvKbDeJHQW2Xbg/qf7U9ClEmqO3trLQxNL+SfI+x7 8iGfnDJZh2E66XO/RJNgNWf2rJm6Afy8ZxnumyXhQwIbiXelEQ+iuW/+i02C mOly3a/1ZthppFHeTSQhPfPXlo3DbfhWY8yvRcTvKRWPuVIWGR5z7NI8fslQ YJ0NejzQjjm+ExXcS8T32c90j/Z3Ypua9YypTgr8o8277mh3IXDOMHqlJwWN 87Wn/8voxvGUfU6jOqnY8mRIK5umF98kswuu0KbhFoeQ5My7PpxPZTWSKE+D OLO9Cll6AGqz+6+df5aOXU9fy1ctD+Jm3OJeCf0MPOvL0h2PGsaJz3kevfKZ qKr5xyogN4rrioNPr8lkocvXNXjYeQxhy7NeGyrvUVGg73JFYRyGOlt1zhRk w2nId5fx9QncSE2eczPLwVOzO5v5VJO4vnhlrP9PDnhzdxoz5E+iWUB9XScq F7z/xMlhd6ZgX1z8SUIiDw49YtEJW6ehoyhsXbuSB6uG0z4x0dN4OBF2+L+U DziXf/7rbp4ZqDxn3tfwPB+Pynue7yLPQIt/rfiFy0dcYo70sjKi4DqFR33D uQBa7yYsGBYp8OsQ/hBC7HdNSR4rKyazOPJ3xGQ5rgiFtcxpct2zyNFlqI9t /gTvtOdDxpfmYON5lFGWrhjf27cYpb2cw52pVWcO9xJ47vtTozY+Bxb+S+c4 GcrwKmybjDDbPKypd+7WyC5HmAV/6HG9eUS9CwsY+ViBMhrKnpoX83gZcJ6O 9K4SUWZMCXNZ82DSdkpYeVOFhPFHB1A9j2aOPimqWBJkB2ULLcjzUE6/orV1 ew1uiwbf3Noxj8cySF97UYuXLZ/VXhL/t5p3qRpw1eO1uMShH6nz0Ms70t0z 24DRNyPJ3z3mke2sLLRIaoKlR0gkjfw8tnbn75cob4FeSNKmO908Qvk5LB4O tUG70kftcdEc9gUvmAcytmO39/Hm7bpzUA8dWjUN6EDoox0XKvtn8YnWJ+YE VxcayHItHJKzGAxZvNo/241b58KCz7+moGf2tYB+TS+MzjU8VWyfwUA/RXlr VT94JSPHKlansaTXwC49Mgi33dFNt/5MwcFfVj320Ah+7d9nFTo7iZA/U72/ Bcew6pxSmf5hAsJF8hm1Z8fByO5TlZA5jsXrZ98KsExgt7VyuWjgGHhi6L9s GZuAghZVa+J/oxCgFLAgeRLtjnPPJo8OQ/p84rqb+RQq5oYVKhcGwOZ0wjX0 HGHHSw/71Mg+FPTyfbHrn0Zt878hXc4eIt78QpOuM6DbPbI7P64Trw3M07Yu zKBp695xtaR2MITUnhq9RoEx/9VyPuk2uHDYiJ14TIGQX0GfDE8zrhhpnXDJ pmBHxT2ampMN0DtLXcReT8TlBP+N8oRauIYXUYd2UZDvRifzSLAadmLVfI87 KWA5tnPyx0gl9pqR+3tIFES2PNj362o56LoV4+ISKSjYseOM5/5ivNlwKpKy pxD6YIp+ga8Qv+LZ1wclKNgXxO6kK54Pd75NThtqCrTY9of5BObC/lYsx93P M7gU7/+GV+o9GnSCzRVNZ7DBaqL8mzgnubt/iR1gmIH+v7bslKPJYBNkzahI nkaL4OtRroZ4tGC3k7PoNDKKmmSbumMh77uv2KlxCpPultPpy5HY0Iv6va4+ BYWPDuRfNWHIdxoeOz40icJ/XAvi0iHYXRyrQa0/iX+JDJL5aq+wcd3jScTU BBwb86/JFPmjVM7qbIHpBMIcM3qGIp/iXvBLh10L43hQ3fHwFecTtGoW0QnY jEP0vs8lA0UvmI8ejEpeHUPFc8cowzY3+HzQ9yG5jOFYcb5mfJMzXizai3SM juJLt7JC8oQ9uhNGrim2jmDPYtZDidz7YFssPOVGGsYVlzf1K/tsEdF3ULm4 fAiTNy2jrLrvYUV76iZIgxB71FkgImWGgd4eo3OtA3hy8sWtHnljPKzqueY8 1o/mi7etldsMMLaTSYnvZx8mxcV2R33SQ/ukfuHFzV5EnMi7GWKji9aDk7Rd W3shOKG1leu4Nvg0Bw71M/VAttk+66TOTSgmvWGk5enGsLxKKiejBrxblOaY b3TBffBjUf/xG0hT/OJU79EJf7M/EhfdVLFE9bWlLb8DtRNC7GVHVDDC5e+x ltOORcmlYwJsioh2l8KXz2Rk7JbcIZ8tD3qnukK2xDYMCLQc4cm9BnY12sN2 Cy0Y3N3MWnpAFspvNzcc5Yl7RT7tQdkmGVx5WtpKXdEIC+GnHSLV0ijqsFiY lW8Ac5qBxal1KXxtOCCl51aH40sKJfM8UvBv9LeIJ9cgLsXahTdXEuap1CKm ktVQaAqMlrSVxCOdPXovyFWYo2axf2IiCadbp0uZnCtBmX7/ryBQEm86VQNY RSrAtPHGxG1OEifv+tKtnS5D9Orx/O0PpLD53L/8N08xCqViMPFYGl6sG5wW vkXw28ogLLshA4WDtbd/nSjA8lDfi9V+WYQHdB8/tf4Bu+rr+PZckkfJhyqT 71R5MDjPJuNzShHBlzP/MEvkIIJtsk5ZWwXcNi3ytRaZsH39tXRW/gZs2IVi vPtTofRFY0Fr301MRe4L9igl9EmfjoHEwm3UDW1n3kKfgOjow5Wn9+rjlxnn Oc7Md4jeGtGRt8sYDzi4LGOvxACBLq1GXBZwb3+/dDczAhEtzhdX9GxR/CuS khwShjUH83X6tw/Rtcr1pXQqBPJJfo2t+x9BMmHbpcngIFCZ7Hra+MoTJ6eD uFjOBSI4TDKv5ZgPbN1/1hsV+sMg528jz9/nYFt6/0ei4RlmqCwVTskHITBL 5JqZoi8endwzcY4nDN+vhCqdFHoCm0ZG7jXXaLwVFKA2avHGa73o+TnrOKxV rbQJRXqBdtQkQ1I9CSdt3ulTkTzR5uXme5nQjdfEfeq5dnli6USnxpfPWWhg iJZdXnKHiJ2pT7lPLl6fun7//R83GEg+kk2JzUfCKZ3nc1fdYHRj56OrIkVY 6daaka9zhdKf+SBe4xL4Huhv6HB1xUzfYOxSeAUSmjlrycau8Jb48cBYnYQm lltao56uCFMvy5SwrsVktnnZWLMr/i3sVWCdb8D+2Fc5ShxuODd+Y1Zxuhm9 Up9pA+PdIL0SmfiUkYwDHTwBdkLuoOZiV1ita0eV19+VkXl3NN7P03wQ04md Oz409n3ygO8XrwTSi2585/4zV6LmCVbh/UP9wb0Q/l1F96vHE6Jdp6/OZfQj zi3cp8XcCwwH7OmcOwfhG72x14zBG/rZbGE+20bA9WK7GUOJN/Zr7b3Rc3QM vWOmjjSuj7Hiy3s9R3Ac6p1UgbnXnyCrxCZnt+IEvoW5+ztx+uAsyUBeXXcS KyIjFTsu+SJf0HXtstcUbKdUlj7cfApWx709/eHTmLrUri6i9gxbHX9oVVkT +3QHy8+U235oNH3EaiVCQfVz/evuD59DYmRj4/xPCk4586Rfi/FHYlnblpdZ s3CZPJAU3fMCdceOLtxVn8NiTtKFw6wBuHV7W2XS8hxkRrI277kFIvLlpScB rvMwsGqsO+3wCpcqX2rY/iX0QrPsRJhfENL4DF8Kxi8gesmo0SQ3GLuMFjs8 eRchGeH+unU5BBxvNlP3Zyxiy4Fn7qekXkNNvdqglWkJlhcDj7Vnh+Hd/aN3 /SyXwHTF/LOR4BtoMt4aYixcQvLdvcVP+iKg/Lrs+Y61JWjMfuX+ER6FyMiU cmr2ZRxba3SId4jBq4RYMW3VZZjfEWsL/xaLuxdIIj1OyzAYu6UUrhaHExme 0y6vl7His75sSZxbl269O76cugyr1s9VAnqJWPq5+fVJ/jIex4T7vGRJBmXW uUTz0zJ+9ZbyX91Iwdrv7v0SRcso4rv34d6/NFRtjm1+yV3GUml9iSx/JkTP 0TLNJxPfo3P2zuzLBkU/xY42dBkBi+fV1o/ngpnG6+BNl2V8K+XfIjech1+r bbzMusu4xc5No1WfDw1xxkVN4WXE59GoWU4VQE471G3rnmVspzm2elbwEw5t 1Xw8PrYEafL52udVxXDd+28lIWMJMmSH+9fjyvDa7pyTsvUSVOu+nKybqkB5 dEmFL8cSzFUO9tHEVWHyTIdH2NAidhZl+/14Vo1Nh97hDN9FVArQ+pm9q4Xc vzSVjnOLuJ6wQ0JzoR4KNVVBX4oXcEn3W/m0VRMK7s2lV0sv4HmI4og6Vyum tpkwjpbPI79Pbt3uNRnpf7dmRnPOY0TM2n1AsANDoTQ/TvjOgdwec0Ppdye8 BYNHrrXMQv6mEpcNpRuMZyKHMv5ScJBu5HRSYC9Gptku612lQMzazNNAtR93 96XzPSN0VpGCqL8r1yCCpOLSdGKnQccWdYjr5DBM/eyYFzOn0Cgr7vugdgTT 23XUBHsnEaSh/lfoyhi+bpYrf/8yge133TgZjo2DPlhHdnljHMLcy3s8BsZB +1vH1OjoOO6vcFP3R0zAKUKfiZV/DIfTA/kTtCaRE0vXJvBgBLtEX5PlNiZR 19Ele5bQAVvnE2fDQqcgnrg/Mm19AJQbOSmjXNMI/lWxTn24HwkvvBdYyqfR dFxhbNv5XjS3tJ9quDYDuYetR2TYuzFnUMY5VzuDY5JblW2YOyH/j8FgnZWC LUfFz8QZtkOXX+z2sC0Fr4ptGa7cbMOXe2K1pkkUKF9Vlnd70wySseD4hTYK 4s20/a+NNCA8y/hxFXFvWXh8xNqcuw5Gk36sTUSfixzb3LVJU4PIPbOOOUSc w133xa0vVuF9ao560g8K/gv4KBpNqUDeuFLY9ykK1LWfPTJZLcU7m83+7bUU mF5oeFmp+hlKnAM6zyMpkOa1SmpdLsCxqcp6JSsKTn7a1/5JOx/Xe3L+e3OJ gs7dX85YbuTCOvhwaMLmDDIZ8ON3cDa8LA+tdn6YwYcnA/7r0cS9Uf3mWLbJ DAKF5E0/7EqFve+72KF9M9hpZ6F6eCIRijfYRJk/TePFrK294oF4OFr0SHJp T0NGgmH7XslY1Byu4F9Zn4LcDFf74d+RoMtq0uV/NQXDNpXkM3LhUIfCropz UzjPYrd2nSUU6a1KVzSKJ/F1JXRxm24QhkePML1VmsR2PutRLoYArCjMR0jU TeDx2A+a8zx+yK8ONGjCBNpmy82f8/pALeMyx/ZP46DWDvv3j+KFuWzXjncX xiFes+fliJk7qpr2yx3IGcPtVz1CxavOsPnmkN7EPYaLJv1m9lcdIKOa7HZS bxTPLH4yXRV+AMtU23kBsxGEJS9c0c62RVx2+MtzDsPgltNj52C1wrlDA7/O PR+CauYVr41gc3hvLazRPDGI512KqtH0xvCQtnurXU2cOx777sb764Npy7jR Iec+rH88fOlsli5yUw77yFzpxQvNgG1V1lqYmaAfdtzTg51X8s/aMWnCJPGw I9+3Llh0Vn/5a3wDB+5IJ82Od2LkF6/UCajiv9OqEbtGO5CWGb6+l1oZ9Lv8 xRnn2vFjOTrUhlsBh0/lzt76R8Z/0qsX10bkoFPKab5CRcZH/iI92TJZ/DpQ QbXJ0QqTugJP8V1XEazlzmVj3oz/5vQP6xVI40IvrVRFVSOisw2cHdKkcNh2 SdX1YgMG406pSA1Igqw70CVdWocL+q9pXSEJoTdWWc23a9Gcai/D3CGBR7p2 vk3x1WgKPvwr300CswmRbiUMJKS+yz0kYyaB7WMaLDtDKzHdN5t45IUE1q1y 5jSFK/BebWn18IwERs8fk2r5VoqJsCRnQXtJWB15rXUnsRgvskn6Z0Sk8ED3 TVb4409Qcshe57kkje1nLoZ9KylAq8zd1/GEP1N71CVPSedjSom78YzdNSz0 cl78sCcPVzpkzug6X0dkV7jX0SM50KV7pV0uo4wlhS4ZpU+Z0B82XH30TxXM Xk91st+mwUbUcMJkUR23xhX3nRZPhq+z+oXyx1rwv/NJ9p9GAg7cpzHIfnQX B/NGbn8hvwMTu+hoaYwh6H977DOTjcFxo4k/omlmKOScb03ziUBv99FO3cs2 mONVuTh8LQxRuj7zfrMPoOoZYfndIwT7TIR2Tz92hhPj7e4rR4MgnW/h0mDp iYWCQ/LipwJwubmHvULYBxp6kicjU57jn2bwVKu3P/Z2ianIdD7FZSnTz8yZ QYipeLawZO0D1onHzPolYQhR5h5usn4MRcN8dj2ZGGi1Bx3/yOKNakeOk8Fj cdCj9zg/t+GJO2sXzKc6k3Cvk/vOZ25PjHQ5TuwpScPYjQhPOnoPnLwhFWWj 8h7muufWFZbdsI++lk6uOxd0jvMl93a5oZ46WfLA93z4qtFLzxi4wjRv6ffV V0X47HH3SciiC15173b7XlwCepnTFW9SXXCKjf6wd1UFkmRz7Y1eu+CygM/O j64klGU8vJ+e64L5lydjXgTXoltDbFPvtwuiGPZcNadvRMimkFy7pisspk0s O6laYJkUnfWH0JeGasfUEo+SYc3m6FR0xw25P5rcTnW3o6yw8eMCgzu4zhxv M0/rxNlQM+mILnfMJOGFaHg36BRurw8UeSCgNE4jOKoXw3cdDOx0PGH2rZYu I68fP4U7nrjNe0K6Q7yMpW8QJ2+X3iX5Enpb7d/7eVpin9huP+XJ5w3Vsayo GUI/nr8YEbNlwRuHK9hZEgTG8WckuTfiw2Nw1mgPfZOfwJ3wtuYc/ycoEy37 eUV7Eo3VVxIYA33w9fpHZw33KYyMePoMJ/siUNjiDM/radxgVL5aH/EUjxaF Rw0sZ8C+UN11LuoZ5JmapO4IUfDQWc/XIcMPHeGpc7YbFNiOMd0Ua3qOrgcl deczZ3FNjY919y9/HOsQcbt5Yw4tue69j0VfYocnzYmNpTl8uGRQK/EyAOtj NiOihH4seks7sPElEJekbfidCP3I8t43oZ06CO+aG1nGCP04rxtDWToVjBEd 26flfIugH7liRH0zBDtWjHuHMhdhlCJZrhMXipPUs2kHDi7hlzK/3B3qMGzh jFq5arOEZZFx2afu4che0o0U/byEV6xmOg/2R2BA4y9T3MYSGrfJ0gzVRuJc nJH+Fq5l0L2N6DZhjEFHHUdt3J1lxGnzLXU/i0Wu3aGg2CfLyDi7ycN1LA4T MqdovsQuQ+7jHZ2SkHh8mPzOeDFvGV/G6AuCzidiQL/zSUXJMh7KHB3WnEoC Y19mR0rFMrYd7fJYJqVALf0lSGXLOLnMIOTYnIZjxrt0iwuXcV9SJEp5ayZO Y7f17sxlMJ1ycTps8h5lfnuKjkQv4xAbU6y+Rw4O1Iw3Hn+2jL87h67dE8iD 3Hs1sWGLZYRuYXsmeCgfjVrzXTuuEfqSKW7kJFcBpj24DMNPLCPk27eXc/ZF 6BwzOKrydQnDjWcmC35+hjZ/xeREyRKeHR3sOFxRCt1F2qtjXkuY5f55hcGk AsGh/UolWILNilj32KkqGKhP6//4toifPb9fzu+sRo+8ifeP6EWsRh1Lu8xe iyYe4Q+fLy+C5vN52TPO9QicvEjL3L6A7fR/k49ta8ID2AgX3FqAfuL9e9Ut Lcht/S68p2Meyx09VbpWZJx/GOxsJDqPv99NPlQzdxD6I5YuL3gOwveduvlm O7FX+LrF++5ZCKly8b992o2vr2qNItlmwdtDoRKW6sWeZ5//7jajYOLFY0+L I/1Qfs6ex/16BmJJviEH9gxiat9w2XgmocvYX9ZfKh6CUnHYwc6RKSQI6I8m O46gpeR4YfO/SdA83FmywDqGl4Zp9uaMk/hbIk/9mXEcZJbeEeHtE3gnfpkp rWUcUYwMtws5x1GzXfZ7dMAEsjjPLsiKj2FZ3uHvEZVJvF87OFb0YgRR1pxB zSuT0FT1MLrUO4QAzx3CfC+nkBYWNsmwaxBOsgvjUeemoS4fkHCfux/+fnqf /xD656bYRSWhy71oWtSN6ZSeQVPtjpnvl7oRdDzx9p7qGXzNUlxUPdMJimvF QtMJCjJ0VhJHrdsJ/feJ9aYNBXu6tdr4LdrwOCjsikoiBSv61z9uSWuG7x6p XV6tFFgN7FeQWGxAJmOX9Y1ZCtJlnrcKZtah3eFgWxHR51NzbjuOONbAe4Df q4nQjxGi951YVElIZGjcyN6kYLcMg8BbsUqoa37qe0eMP1KsGKz7rAxHdRyC /zRS0BbVcs2s+TOMlQd8tN9RMDi8TcpWtRBNaR38XQ8Ivepxw8AzOx/GmV/S 3ooRepXG/sEJ8TwcjLOb+76FgsM6eo0HaHLA/NkgXqB4BnXla8xsfzNQpsNz YMFqBj80wlTVbqci7pf5+RKWGewLXf2SfjwJJ849VLQg9LckTz5JSSoeScdF OuruTuO/GKsdn31iUaISOv7+1xQmmOWTyZxRMA4SmdoImYLjCxHaHrNwOJzu +s+RYwptH4ZFDLlCIWmsoLNUMonWaUYRE5Mg9DTpB+xSnsRpSjidwu4AOFov yKBhApeNBk1d4IcLwWq56lITSM9kMYu45oOq6jTdA2XjuOc4LBWwzRuF89Pv T4mMo5XKL0Ev2R1MYm8e/C4cw9tg/T1OFx6B7W5iHY3QGPqu1xerPHHAFn7n UCb7UcyJtohQHj6AxGvXGg+PEWS32176TrGFcLTdytvAYWxtb9Cx8bdCpnAB W3LSEAZe8Fv9XDOHllSNQqf0ICi+YyM1D40xz7x5euBbP1YLTyRabOjjuHjU vbTsPuyqLzro7H4H/3RjmqlcemEitWCxyq+NJ16Me5+r96Dx4BYhjXpNvHrL 2Nkm2g0N10ifnzvUYXuwbu0WbxcOX7SqcuxSRe+jd8MJfJ0I+yJHWadTwZDI 1/1c6MD0VAH5+glFFNaud1reakd+Gm16+Ud5BMZsprzQJkOaLoGzyPYa+gaL L//tbgW76K4OxrirUFh7yEO9rwVck8X0X3hkwMvanZpr2gQ356K4Mzul8evr JH1CdwN4lJnCotmlUNpAtdtLux5K29lrTFwk8So0/QvNWi08GH6Vf/0tgQaF clXZSzVgZeiNEA2RQIf9UML1KBK0DX7F05lLYGjf4tGA41W4pUVRWnSUwHFP xfnCsgpc/Kb882iJBCLd7x4U/V4G8sXpNxMXJCHxRULMKbIEHfPNa9KjkjiT 0uxiZfMZgu+EQrvLpaB9N10yJ7oQwv/1WzcYyaCi7ldfJPNHyE3KvpHzl4Xg bA4vpTcPF/Q8NLVk5cGUz6TA25MDx9f1NT0fFMGxaHKqgPk9ODKcRpo3VdDG 8imBaiYd9x0ONnlG3IDqg6r5LMMUcPMNrGmX30So7A/tm1qJGO610jM9oQt+ LZajNwrjcMhWb6sjgwHOPpHzZBl7C32mc8WWr0xgd6uFxWclEgM7JBgcbCzh EiReG/wsHMlljL4Ptt9Hs8hKbE5EKKrnGvI4qR1RU1qbXcAUjCzSU9M7nm6w s+zP5O0MRO5sTLvGb2+U3j3jKH7yBQreXbbc8uQZjiaOOFv8egZRIc6F2yWB eN3+9Z+iui/4KUfnV0NCYduTsZXq2BMM7fzyra0gEl10paEx5t44TW3atrE1 DqxXcye+m3nDSlPZu4Q6Dk4lq2LyBMub5Rt60sRhuM837Z2pN7gKIx9I08Xh 7nbTUz9MvDFRSZtHvz0OB0tC0xQJfkP353jLjjjsP+rX9dPIG1kUWk1Nxji0 cWQJpRp6Y9FGV3ZsbxwWNH93axh4wzDuzHeLA3GY7PHFeQ1vUE0+7P4jFIcw Sc35/de8EVZbyjagEwea5cHqA6Le8Df2cdziFYelzMBSLm5vGHu33LBLioOf f4Bh/kcvxFCNzZocSIBq1ar7bhkvDFjNnx2LT0T5FbbHNEOeGI4fxA6VZDjL xq7pPfLESa5tfXwnUsEoY6yxcsITDtfvapL2peNY8e/QjQ53WLcnnPbjzoaj uEieLrM7fv8Zi7HUy4XKUxSJ2rthJphlKlf7A/65ukcL07uBrWf9gNj2jyg+ zc7SleYKZr6Qt9wDBZAtuRNUrOWKUCHeb2/biqAQ5SmZzOyKVGNGvqyFz5jl Pb1LZdIF1NwSmw94S+G+BivVKhfUBm9xf8FTDhsFWUX9dBfg/fC0dXIF6vZc CdePcsHZndSMpdWVMBT4/lSQ0N+Xxmsi+b5XobhZJ6E23AVcEVtYpPirsaPh ov63FBcMjQ5by83VwGHc3tah1gV7JUePZBL3wLfyT8mc312QylkZ8yO7AQ/U 0oK+/ucK/6b4cZeKJhx7ZFCf6eCKo1pKqZIrLbApbn18rcUVA5etrKiPk5F6 sqWU+qob4ofLBBwC2nGo3uwve4cbBvzPGVTu68SfiCn6Ajt3aPab+WekdeEI 2y3Wq1Qe0GLtU1Wj6gHfR4YtHbEeqN+luylq3AtJ9qyDAmc9ofn0qyR3ex88 mLbJ7/Mi8lX2qbleegDajvkyAZNEPmX3h/mVDSIgN8L2k4IX+G6RPnVcHsZz x0jLug4vhFut6IbRjcJ25fGTV0S98Vf8S/5gPgZ6/itdIProaptyYILSOJxz eTho3z2GsFinHSvfBMyi/+49rPQEBmIXOEm7JyGkI/6lkNYH7wZV4gTnJnHC bsBc3cEHo7S244xGU8irPTAbMeeDXO5VucChKfwf/srxWw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV13c4l10YB3CzXiMaKioio5BoKCtfoSiEJCQqUmmIyCh7S7Yykz1L9t47 xM/ee89Qigrvkz+4Ppfnuc99znnOOffh0Ht2zYCCjIwsm/j17+/N5qWJWVUS bljHuQuersRHCa/r/5zIaGL2zwplK3UzhA3fHmn657CHjlL/LLkQOipE2Gpn ytY04eQPA49PEf4t2UPz7/8fxgIfnyE8eBzG/9xrqJ5zlrCmZGvtv/if0lO5 xQiHr/zXP09Ycb3ZUoLwK3MKyW+Eey4+dPzny/Pyksv/4j15bSRKWEUhefWf 2y6uFwgTTveO//PPtxjIuv/lw3ld5Og/y50b4+EnbPxVV+9fvGOTwcLchPOd 9x6ZI3wgScqPlbCE4IDZBOGRcvlUFsJth6ffDBGuMHPZf4jwtdoxtj7C1ysc NXgIM1IepOklLGLawCNC2Cd/QKmfsCAPc7o8YRsLXu8RwqdUfbbd/Je/EXvu v/6PpQ+GGxLW8wgV+0E431jwtRlhWgXW7WTXiPHuYpiwIFw3MlvyH2HL3fl/ TP+NZ/17752ENS/rkf69z+f9KXIfYc6AqUNahANPJbMdIEy7+JxVmvAbzrsy /8zuQRHzr79le34a/XveVv40KzXhw9Xa4gyELyTbB42eqoTzUV1fcsLf93xJ KiPMVG0q8m983t/Z2RJK+P41xTfNhEXpYxodCAd8eoz0f/0bb1CwJhxMo0sf SNidg63eh/CSneMja8I81kbWpYRflvza9+zf/ETVKNER7U/ZmBgY/xt/lRea RoQZjPhfOhFe8n0fPUyY5tTRwSTCuecDQtXPVOLb7ouFo4RDgkMVigm/0Go2 5CPylf7B0UEtXIlbVFryLwkX6Mm/YiXM9+vYrzrCc26XRVeJ52v531PSqZHw MFjD0YnwbEouzRnCYrtpV2qI9vqcDv0VJVxE+iQ2Q+Sb+bk65BBh9vS3XhMn KxHl5FjeRcSjWF56TBKqRFFsSu0jwrPeufZVgpWgX7a60EPk10x57M/wCWI+ v+Q58BNe79vBIkf4TCpSjFRICFXh+raPsLlktmSWMtH+Sl3WY8Lk9b4suwhb Wfyu0iDifSfrHsy/SvT/3rOsG0R7S6V7t9kTPuZiqRtB5FPfczjwEWHj8mcX jxH5Z60f+mxHmElzV+IM0b8nL4WFqgiTByyYtp0l8qFpPitOxO/n6HvaKkL0 LzCcYZpwo3vd0w6xSsxVfttXR+TnVNdtXShBzO9R3clOIv8pQ8tTDyQr4UQ2 Sr2DGI/jp7MpC0D0vzp+/PZ1EqYlajLeSlWi0aNipVyd2D/qDZcGCD8YGGTZ pUHCoM63CifCmYU61sqaxPfw7ryYLfE+U9uen4+1SBDX7syrOF8J1S9Hkq/f JOHyn+lKJfFK6H4QLf9F+MTEFAcXkW/kDW1pWW0SfpIa89WI/o2pnWE7THht e43sdWK8oiTOKRoQz79OyvVp4q3EMzuXe3RE/PhaJioqrkr8WdSlYyDy4Q9I p5NlI+bj8sfbpkT+2XKN12eYKyGW8Oo/RaK/93nTt9SZKqHj31qeqUSCg41s z+JOYr1Xbo7FXiYh4zWtFx1jJUx2aFyyuUhCRAE3nyRhWg7SGbsLJBiIc+/u 3lUJsnOV7j/Ok/Ai77kL4/5K1Ai8/MMnToLwGfXOX0T7hyk7C56JEv+PfJr1 ksh3J5vITVrCvj7f6q8R8yXasu/bGGEWOxNNHelKJNaGKs0S73eur4mrKhP7 0/6xTwIg4a+oNV3BrUpwd/u/z5Ahgc/h2T2GR8T4TbNfMiby5RKsYc40r0RC sCaFMjG/ApMeSVsOlWC+7ax1lJiP4cxlJlnPSmzfK25XfocER9HKmWa/Sjz6 qfykw5DYT3pkHH4HVuI/TambliYkqHpdKXxP+PLRe0K/LUk45M++Q5J4foNs yeGQPQkvK91Wo18T+73zybhwV+L9ak3yRPtKFBr6Kwm/IcGTnO+8lCmx/p+o mEf6kpB2LlnYSo8Yz2XpLPEAEgamHUdGVCuhpK00kBxIQlx575Yg8b3waygb 1BPm2FIbD+cj9qNUio2XxPOPoj5pmxDz9W5FsTiaiHd4m4Eo9UYFfGnFFE4Q 7bFLldmXjFfgY7zF4i4inw+yu7h3NlbgC1vbe18if3+/13wqsRUI8rJ+TLpP wqW7dIYcdhUwV5TrlCa+hzv8vIZ/dStAHpqSEyNCwoOftbJ6lyqgdU1T+icr sZ93aJsUnasAx1QJtQ0FCad5V69KCFeg+btA9s3mZqiQjtwtlKrAcEFyjGRE M5428xSEa1dgNKUsXNauGa6JXv0KVhUQCOLSyTRoBtNPCeGYDxWYSaX4XHOt GaZV5Fcdmipg0u0XnCjXjKCYhDtu1JX4+8QkyfBiM9zmQnz2yFYihtXIfF2x GWOtP93FPYjzcE1C4PDtZrxYqC+qbatEs07hyeMWRPzWiZCpvVXwpZl88CKo GVuTd0hpWlW4WNMjx1zWDB3PDwuD76vgTfXiLONyM14GdppTj1Rh90Gy5X17 SbhZN/jXn6MaHcNnC7yFifV0+OJwh041LEwLv2sQ+8OdtFl7Pc9qnK/TSTI1 JSFsSM0mKbMafdYtblFvSdim+WDmbUc1Ih++jQnIJ863jY7/mJaq0cl8s2Zh kITU5O0D+yhq4JFpPyVL3YKZfb1fI2hr4HOy70kbWwssOBMNwwnbnj5ww0yk BTlJTSE91DXovcp+bFO1BVXRShyH/1bjDPttD9nHLWj8RVkmsVAN8ascOszO LXh2JH2ZpqcaEaHTp//zaEGs6Asq5fZq+Ma8W1ryaoGvqv4Z7eZqZG2d5Gn1 b8GOzF3KJ+qrcS1b4EFKUAuWaj156qqqYZo7s/tocAtU79+uFSN8WpwhKfqf Z7g6PlZW41OSLS9bSAv0NVuV2QgryV8a1ybc+/XudGdFNYJD/v20oHT12C0f wse5acW6CIeeXfKTI2zG8rudKbQF3bWr0Vvl1SB/2LLlQ/iv16tXzwjnCHow 0YW1oHx4uWywrBoetVR7XAln3lQ2VSL8h7KUSzmyBVmJgl/sC6rBufSeljGu BRt7hZ1fZlWjnNVXrTqpBd47JN3EUqsRe/Kgl0lqC7h7I/PLEoj8yPx7rSqJ eMGmjGOu1dh1rE3IrKsF+8IZRQTvVqPorWXTydkWpJ6lKEg5W40vGp8mHP+0 YMz5wO2H26shscN44ixdK34/zMy2batCON+RYna2Vmzbk/TzglMV/D39HX8f b0XQRgwpna8KHlZe2y6ca0VVAeduq/pKHCgTKzaXaIVcfSa9oX4l7gkeO3iU 8IuI9CaLnxVQY1jcMyvciub3q3uKnStgK7Sc+Ja7FVHvbqSMfy+H5Htqm4tE +/nHhYd23ynHqM0T8ZxJon9f3FeHGsrw83fmjbHcFtzMOEv1U7QMq3tC3Ont WuBctf3gmlYpAk3v786TaAEpr+wSlXIJqOsHVdKXSaCKjTEZ1ihGTJabBeUH 4jzXlNBcsSzCj8c/GpaI8+D0NhoBnpxCXDu8wt9ErP/QG+diZncXgofVPGac vhlJnN0j5/wL4K26I0HnUhN2radGfThbgOe6qYyWdl+xNDM9qE9RAP61U753 CxtREE9zyO9XPk7G0I9xbjRAinP4DAtzAUalrvAHyTVgTSuPdt6gAIw8R0O0 3tdj97E/5XRjBVAr0hlvIKvHylBoTqhfISbO3ejbZfYFEcqSUSOmReiKq4/f nKlD+/eKWLmcYpyZYjE7b1WHO1nRIdukS/H6FKsHFVcdPAo4NXW8ypBmafZX db4Wyy3MHm1R5ditvnzyd1stPAZ2XowfqoCQMd/frH7CxfHqJnJVMGAsjjr2 Xx38z7vQ9XVXo5vf6MqKRh1q2bccRf1rQbcpz6OWUwcRuZEWnQNfoBzrEmUq +AWfmTuC3+bVI39H/muRqi/oe7ZdZvZhI7qq94s4v6iHQiQkZXmaoKgVE3la tgF9Y+61+rPNKFv62M5yshF3chW0f3SSkCMlHrcu8RWf3UzlhLNaEJ3NzzYY 0wS/tF8Sz1Nb4dzyQDdhsRmX2JSvBj1tw3dnva+aH4n6OHe+UYOlHVcF67Q3 jVvwdYO0reJjO3pchXv3XWxFG5u1wvqRDlwNe9EtcqwNcbdKPdQsOnDTmD3+ I/HepOSwnmlcB+Z33YU6cwc09uZ/1k3qgFVgrkbAkU4oND5462/XgYyFU3wc Z7tAGRPXt5+7A4+2elcEWLrhGGxGuZHTDv6QLj7BzW48Yjn07CtPO4INVlsc RnugMFUsvMesDYxG39tGK3phaeSy0hnRisIT+nZqYX0QDu//VJ7QggSrUvGN +/0o/NykeoU4F6W3Cd1bIRvAbZOPC85HifH6u6wb+XoAg/oXdShov0L5tYtR 59YAFk2OjLp/rcc30bGNVoVBMHKPaWYu18GGm19M0mUQBpw3ZP7S1mLot0S7 S9IgsZ88OeXLVo1zlH/2s+cMYiK1VvQyUT9DounFp8RB7KLZvcdbsRxdjsee cNoNInzs0iWh6RL4NEa4bZ4bxPC8+h7J24UoYOQxlpsdQKzxL8mkvDyssc0H B3gMQKyFS/WRSA4YlM6aK+wbwNQ2ms8UY5m4lVp27YJfP8y1Vs5UFqYj832N ZuqfPtToNvVd9fiMrgfmb49q9IFSZPxR0N8UnKOnpnsT14vA3o7AzeZExH6W yV2Y7oFuYpnh4FYc0uQ7NSw5eyCZctGk2jUG/D27WjU1usFJtuMKmW4UYF6c keDahUg9hkGZvxFwVaLQ1czsRFze9h3rJWGg1+L3FRjqgNIpzddUq8HIkTjw J4OuA1VBgjv3+77DULLxeXGxdlg0JgpudwqEf9MVgZHHbfj2i06ErMIf8kE7 HnlGtcLjrnyQr7Qfim7/d3m5rwW3XjaflPnlA+8qC73Igy1QG/dZKK/3glRx owjFXaJem9F6c3HFE/dy42UrNZsRIkXWba/3Gt8Fm5yG/nzFmbJBzW+7PEBl JbQvXqkR19tvuV9Kd4NW6htv3ax6sIiVL16McEWTbn3AOLH+7lpruO9ucoHX Vdv4gdJanJkz5BQXcQGfSQCpVr8Gjk+U2OQ6ncHvUnma+mA1ws9w2t+KcYYh Mw39xDhRR2c1N66HOcOJe8TjhBtR57gMq3h9ccaHl9GKTNLlqN3Yf8ZHyAWM QhyXzzOVIZ+98b4VyQVO+346JKwVg/ZTjKVmsisCzDtTmFYK0ZD2KjO1zA3N H5LJsLsAwoxOUQ/2e8Dwum126Y08FO0t5+jJfA0HX6/2veo5CE1f/j4u4AV1 Cd6OTpcsdD5dW1Y84ItRs1jOrfEM9OW2mv1a9EPyT2u6EaN04pwfWX5+JBDi 0PY9wp6GTi1JHo7qd4joEnlqNvcJPx6ZHE+bDYHfaerbnT0pcJTzuxmY/B68 e5NNFr2TUBrbYO1QHoVefrZnfZEJsLhAcd3BIA6MX0F6JZ8AJ7+Xrm6i8bh9 o6bd7Hs8IkvuYGlfAvIGthflRcXj+t+rRWybCQjSNz0vphaPvPIeG6tviWjQ EXGd3x4PaeaZp4/mkpBS/vdsZWkcxD9a9OiuJIOH4odLqkgcahdOSjFzfkLL qm1/VHEsvi/kvFBz+Qy5lg+Bl6/GIvga3T0rhnQkGbTd15yNQccpnsvUFhnY 3OfN4+YXg4QffUlGm5kQkKK3D5SJQcnq2o65+Gws+lvmyZLFwH+ux6nseS4y fvYb362NRnbVjWqpe/mw+XT2SX5wNGYMeI5U2hQi+fnK23jCrvdFmMpsCxHg W1IeQLjA4Q9DsV0h1CnDvtkTblx8trvAvhA0tW6HjQhvjb9ly3Ug5rnLWVWb cHDY09NZjoXQtPyQL0y4e8beKNW5EPe2/+HdSfhc163GRNdCtBgERc8GRaOY lVIpxr0QN7xc2F68i0YTt1GTaXghzvdKtlG8jcavYvVF1bRCmNIplAUERKMw 5Fnm+apCyPWenDjqH42JJxZc57oLccJMaCnKORo0miayc9FF6NeM6NC2jIau StD1PabF4F5xGlR7Go3V44ZSX+RL8Pz33vvu+tGg5/aO4+EqhWdoXM+vm9G4 FUC6G01RBvXcDePAy9Eg6zSpnLxSjofnhyrcLkQjQz1KsCS5AjtqdsrnSUdD ykxRaDdnFXjX26/tVIrGR8mAoDSiPjuXdmPV5k40DCfyD8reqQW/6dTsinU0 OLPepynyfIH8NK9ffDrR34P8lQdyGvCbZ/vttJ9E/xo+c9eYNyHxcNU8nWIM hn56CpRkktBzZTHJ90MMZjmYVLI3iTpo45aC6WYMjKweXBjVbIPPelBK5cNY 7GIOaxcsb0cAJb9c0GAs/NnFlWXOdoLLOUOB5k4cjtyDtW1OFw5qaCeJLcSB rdlNg0qqB3OPHL6NusTjll86c3xzL8p2StB58SVgma5G/Oy9fqxVWco87ktA RobyPfU/A/jA8ngmOzgRSl9XP/r4D4H57wGTFL0kRPBJP88OGEbq9mUPX9Fk ZPMvehRoj4BaNfVcGmsKPG2S5HnZR7Hf4LN6euVHBO2xD+y9N4ZTh/9jDOZM xUx3hni86jg8S8Vi0y5/RjFHc3gRxQQOr7GSLyIN1u5t4adSJoj1WueuOJYG HuZaTosrk7AyotQ855OOkvYUx8PDk0gUr5lblcnA1tlVrYnHU3DtIe9vI88E c4I8W+zCFAoyPs6zf8lEDLXFJ3WDaQiW9hw6GZqFudscLxnapsGztkV2dl8O +C4+5vxkMYP21oAjZum5iF7SFWUhnwXZnZTz40/zIapwOGvTeBZZHmQGcUqF OHUue6/kl1n49t16v3GtGCWhl+qr6eaQ1XRT/qZ9KcJPb1N6ITaHC04rXMfm yxDF8e44jcYcEqatp76eqEDZpaAnDPpz6Fp+vnMioxK9B6ws/HXnsF2sOoRW oxp8Kw5RmfJzyNk8WGbKWgunIfqbkUfmMMXRqP30P6I+/HNd8dTCLHinTmhp HGiABxUr+/fEWdws774Uof4VlR4LoRw3ZrG4qq6bUdQM6kuvHuT8mIGq4n/v N461IOb+DNND5xnUpJ6jmjJuxXiYUnwkwwxoXq9Rv2xqw4OSomoKz2lMjPwN N5XuALVzYkrN2hQYPqoFP/jaid8GMxprN6YQkt00mvqsG6RvKgYWscR8XHu0 Q4W3F+ui1nM/hybQ/6Bw7/B6HzQ2Hvy3uX0CuhfJvDSHBzD7oZll9sA4KKwF 2/7aDyFkanaN49IYJJ6e7et5NwwxowuLeXdG8TsklfPg8xE8Z2c898FwBGNd ts5mvKNwttuYHPQZho3h2dSpkVEU7ZlMrVMdguOLc0w/Q8YQImt5IPDhANTj hRzzlMfxbf5+b7Z+H4TuXGX7OjAODqP4/IiMHsyvPfW89WACsoesloyXujDZ JebuPzuB+c5J2RNsnSjRW2s7bzCJi0/K693Pt0Mg3Pxdefskch8eu3pQtRXX BF/xC/FMwWezPig8iwSeOA6XFeI7DDzi0/+brwkWwt8GjoVOYSuOr3SXTwPc 3dmZWEqmUNS07r+5Vgf5/asXTDqnAKs72+iNahApUbTcMzIFO4Pbs8d/EOc0 d70j9dAUWI4oneryKweF3p1P1Y1TGL/vmeYUVgIBBqYSnuQpVDVcDKXWKUAZ /TP9RIcpJLBoafby5cIvacNzWolYByetTgqfzYKaMeW19v1TuDS/HLu9Jx2M 62+iyCYnEWsqbn6IKQ1OZTEHKD5PYt9hd+n9ox9xwDq2/aDpJGocNvJ1hpLw 3GuLFHFqEhT+z4372BLQ4ijQN7UwgezHryS8ImIh5Pt0+lbcBH7JTrDma0ej pPP6iUdaExCn9lHYqRYJ1UQnHjvaCeyTHB1JIn+P3HT2TLr8cUR9Cj5OXhGC lLHUxffXx/HyV75Zpfo7bGNnGRhYGCPubSyTXHcCMDosbmHqMoZvx2/sP9nm ixYr+vO/Do6BPfr1mpuMF0w9lcaW0kdBxanN5WPnAcrPwgxdcqNwjEdloqwr DH8MdjAOjuDvvdfDL+ycsGBKals2G8F9fu2hNTYHiBY5OlTTj+CWnp79yDFb OH+RKqqJG4b2VBqvcvxLBCSXX+WRGsan1o2L5pEW0O+p6NyXNwSljiviX6he 4K0sHm4kD4K2fbLvA/lzJMu49znHDiBTr1rNjuEZ2kVt//sb24/t070Lu38+ wmgn7Zb/xz7QCblaJvk8wBply8jdwl68FPUOD8u/B7xV1zFq6YHr+WSLA1p6 KBo8+ufzYjceykdVFmveQevXbLc9e7rh81pUteyqDjrfuRfaSHbht6c6s5nR TfDuGl8xu9GJvjL7xtufNRBJT4qlJu5BD5xXj2/dUUdq1nHRHx/awRE2n7Nh pAY1zlPkFC1tuP/J7MzRL6q4Q5Q5izRtOKVw94qLngo4vXguWV5pRTLZlWDN u1fR/mzHio5/C0RdrjXfuaGIKX/39DZHElE3T+ckF15GjppRw9g24h5TeDvC MVUOOUes1mJ4vuLNt3ruol2XcG5Owfu4fgN8FE9KZTbLgnx1Ka6j4AtErbac pbplQMvR+JbueB0sJro+Xj4sg72Bu1iVs2vw5MqO0OIwafgOtlXzr1SBT0bO mPGsNDInCnjIrlVCX4PhpjiTNOJnvSbYW8uxXs0hnCQoDa2/yu5MxmV4m6/C F+4sDSYVT0oOtRLc419Lidwlg7OnPurPrxUi94LatFCXDNbtvMc/fM2HTOVw sG2XLKQ6bfzN/ssFj/BIgXPKJbAeFdFe9MlCyedHnU10l3HLjs+wSzsDVlwS h/cwKsLvVmZ47700uD78IOrVpoyc9nr3bvlPuFkVzM0jdQ2t5t6cj3iT0V9L G2TDqY4XkbQMNfnxOESjoLySpwWGYPJj6WUx0Dd4933s4210P+h4HngiChl8 Ow/dz9LHyxPnuCfm3mP7w0321cKHSA4ezpDdF4rb5isn5uWfYfhNnQRX3Tsk rh1UPDBriu9+zGXcSwHIXI7d9tDWCsU7w5zU7fwQyCFd0X/PHqJHxlhzWrwR av8m8TqfC8gfB3gayngixqRs9PNDT4jEFnGvS7njOz1VW/kXP6RPehk/LHBB wxmhF4OHg/DSTllAKNoJpz6WHcrZGwHL2Y9Ozlcdwd+h4z5D7AeWNnfdNQQd YOL9XcDbIB4vdYvllx7aY6DRIO2KejJmXjPX9jra4V74oZcC31IRkPhj3dHI FmcKN8xWuDNgcs0wkdXfBpsvSxRoZbIRDL/gS3PWaOhnS5zvz4Nv3O79sxbW eOye+5Gcohjkc4FHcNYaX2/rfz8/XAZ/pz15FVzW0KTgKmzwr8S40RfeM9LW yOXwFFaLqMHUbZcX/l7WMFEI3ru2rR50STuP+c9YQ0vtQ/aVrUbslB/YVXLX BmQBTU6fWUh4ZOy9ObVqg4FwppZeUgtuPjmTsx5ni6zqhcm0mDaomKfsXTWx ww/712trPh2wze3a//u4PX4y6+lk+3dhCl5lTJ/t0RHQc/p4Yg8Uz6juNYYD GFR+r/9p6EPsb10WyUEH+IqT9YivD2ClROZ+sacjvtEOUantHYaC47yqqLwT Wrgli+8JjMDVw3s/LZMz0te0XxyWHsXF6nnKt9+Ie55rSviiyhgKuK/7b1t1 Qd0a1QXL5+P4/l2qeJLBDYOkawusbhPojiYn76F2RyGZ7FK17iTu03fROtB5 YG3+grUsP3HOPQ3apcv+GqVKk3YTc1OIfVnHui7rCYfCbi3hyGl0ze6WnrB6 A+Ypfbm/cjM49OJ4Z2mpF37+sr0sMjaDVN+6PKH9PsiUy+/f+3wWNMeUFV5I +YJsQZl/+scsjnD8/hGq4ofioe0+0qFz2GnwOX/GzB9Kj6mP/uadx8DTkYiQ 1AC0qtw53R43j2LdqPg/m4Gglfxjksq4gMLofqpXD94hZmDs633DBXivf38W MROEDE3Jsi9ZCziUwOVF4xaChdIvrq7fF2CqGGxleyEM9E7h+44dXcQVXt7z 3IHvcV2QVWLbTcKpq6q3dkSiSNiGkst+EZ8PprGUPonCXDe53KuwRXCpvzF6 MxuN0NOfZz5/WoTsz1N1ch6xsLwfz8KSt4hLEjfZkhXi0Uc9v62hcBH84fej 4s4k4oKA7rnI/EWYvLFMNJRLRknGTmrpjEWwPI1sue/2EW3X2fYIxS9Cil9P WW0tFUHqrCk1bxcxpCucur85DXP1eQyyDovoJdMRXPXKgNcLCsvL+otYLTZ8 6PIyC+TpzPkxWITcotaR8yE58O6OdpHat4gM7lHvH4t5eF6aemd2cgFvIoQc 54l73lhS0JxC+gLmdIpnWq+XYMzoTPeyGTF+LJTb9fPKkHA7JF3h5AI6GhNM NmwrkD74UTR+dB5pBXxvukyrYKwg/Mr59TzUcjXtDoTV4AZbiE3f0XkoPZl9 dHS9DtY7hIbM8+fw8p2JyRv/BmjS/Tz74zxR/16Ikvn+uAkS0WIqxZmzuLpV KUdZTcLb6U0BcpZZkCLMVOMsW2FXXFab8ngGzIKLv5evtYN/wt7pVtI0Zm6b ew7/6AC3bfjjpX/16fiTQYeMLtjVRsdunp1CaP/Tc4ff9GDz+/MbyXcnIdW+ 64+5Qx+erkJw3HwCTuUCOyf4B7D3HosbW8I4SlUY3gxNDqJn51MTs5oxvPCv WNPVHEac92mH122jCBsMXnSWGYH+vaWTm40jGOmZXvq6NQKDdZJkxrdhbPs1 zppVPIo8G6eiRqph/FG9wJH/agzCk/ftw/cPwvuOLMPKuXFcVZHf0fhfPyzd W6mcv4zDUPjXga3rvdi7JEa2dmMClGW05UE+3ZBlEKFyHJzAJSFNFuP8Ttg1 bPqs6UwixzQnir69HXJ+jOTVrZN4llpC3zHSCuHtg07tolOYuNfZpDlJApnO +7ZG6yms5HTcC68g6tHLB4Z/ZU5BL9FGSja/AQVm+hPbifrzmJk3Dd+NL7ih ZKhvtDgFw0wbrl9/akDXFl98+O8UXCboys59rkLe9zhPps0pHL+lbDFgVoEU mvnIG9+nsCNoXo7lWhmUgm/37+qbwjsN9TaZ4CIEc+n0JGRNwXdvXX5Tcx40 zP5Gp7yegjC5yfWmlWxQRt9P3K0xhVzue230iplwD9F7R3tgCu89717iHkxD 1T6FM8ttkxhPSqDpuv4Jqq9vH1ZzmcTVM7/2p91NQgm9fePkiUnEt378dXg4 DlqxQYrOLROIvOzlsrMhGixVVXUHjCbg7CGaZXMwEsXLWjRx1BO4VvPUnNo/ DMyHRB+whYyDpn7Huf7AILhED8la8Y5j9XKW89vjgThzV7Q0KHcM+ysCqmMu +UHN3qP5kuwYTvpbCW5Ge+Exrx7tm7JRHPMrkXn/yx0mVZ8/V0qMoi5W+m7t QRds24hrTMofQevdml77OQfoe1G1dJ4bwQDvdHSmry0uDh0iVeYOYzxxq7T/ 5EssOkVSNYsOY0Yrh8rH1xwBTCQ1e+shaLrKH3r82hRr+Yf6g18P4n5vj/d9 ShP07H1UczpiAMlh6zX3vjxFBq1vl3NuP0JmMsZ9zj3C0xBjmV1afXjUOqls mWYAVh316lM0vVj4GXNsS0AP6+/N5/pqu5F9e96rZ0AXEEgPbQ3sQrabmZyR 2014+FCulTzrhHbnntjvuzUwmbl/VlizA2ouUXsbFa+jKYbRqkypHXQXLBhe MVxDZvTj9WFl4v5IS5W3S1wFuc+ik/fpEt/loXuvZa2UsPfStfPDFi2YeVZ/ p5tKAScEne0DrUgQiNWcKc2Qx95ZARvmPc1w3PdNgLH7EgYWXkgzXP2Kj8Vf m17pXMR1ifKhoOgGcB0hnzE5KYugOnWVa4z1oHljyRZ8SQb48ttj1r8OP+o1 dCr8pcH47s4H1uO1eFt29PcJBmkUe9paxT6phsnab8HO8AtI2+YnPdRUidu0 OTflH1/A9WOunFdVKqBYGjfR9fwC2m/ze0QslsFpy9b95ecLeKQVw6uqXArt x4aQPCwN5YkTf7tXisA799XjWzkRX2fp5+GqAmhIWH4cCZZBZybtwNWFXMiy 8mlzClyEXr+LDu29bNQpcSsegxy0dCJ+srJnQlNqfq5i5DLcmPZknzqQjrXF u7XXTijBJz+LxyQoFc8uPm6biFZBs4Pm9xidFIS9P1G7m1cNe3f9kHRtSsB2 FRZqMV4NzO1rvhmbFwsXDSF6CY1bcC087ilMHw3J+8WmO1zv4q37hjaTxQfQ n9r/n/OgAd791KPxfhEGShF5cgbHx1C+38l9bSsIH97Gtn57ZALv2acXoine YjJvU0NH0ByC1MzDx439wSsSpQ0Da8xcfpRZIuYLv7CzqSxwRHLMRPrfT2/A 3tYWzu7mhpNH1YT1zD2QbRLCX/zIm5jnj2kMJa5gq932cyYjACmp2xcHzZ2h KLWr2tYzBLQvBRqHUhxh5xQdxqwZCcqL1hbZ9g74oe7N9PRLDBS493MFONlD SuBXXfVSAsaLd/jN69mB45flwclvH9F59zG9xiVb8E83yDqPpWH0RuyxKh0b /J7rXVJKy4R4xt/EX/HWuP7SpDlyNgeTTO+o/h62hsBMLfnlDwUYp6o+z1r7 CiIrpmZ8fSVQpeoNGw99hSYpoxDtjnKcCPl6fC9h3TR3o4g3VahIsvsWQHqF 0bnHN4xF6xBpvMvfhIgn++m3R9TFBiS0t9zz8rYGY9dcqE9QE36IjRY0EH5r 4Sp+IaQJhs8/MNP6WON5+Kf5ldAmaJrR2MoTlt1xNzU2vAnMYuxzroS9/SLt b0Q0YaNo7HY14YKlx/r/RTYhsbVSU9rXGgcOslx5EtME1wV141LCf0RXnpPi m4hzPyRews8at11WB84kN+FYqrzO0XfW+C0VeUGwsQl5dp472cKsMW489kJm kWhPJ6yUPdIaRq/0TU12NoNlK8tQMM4avipWp/JPNWPFo1Dveq81Nt65/nCS I+Gq/LM4LiYbWG9pNEb8JiG6i0sz4poNHE6R3Xqb0YLtZ99fLXtrA5YnAjpX nrVCn4+H/vWADV7LCw2ECrWBr5Ez87C6LZZ333Yo12vH2kPy4bIuWxwxlzhU HtGB8QIa7RcGdrjTrFJXP9YJ946iFvlNYr6v7+5dEuqG3DrnkQlpezzfEf1E RKEHYmze1W6v7ZHGUORVaNiL2LC22t2d9thg/qBa59mH3Ht0fl7cDgjdpq8Y k9aP7CBOWzIrB+TIxml7dA0gYrFnJJGotzeHamRDTwzhmrLFatllR7zRZ4tm kBkG5cPadzcLHBF8puCi4eIwbukaPPQQcoK0mpBuSfAIiufkO/Q+OoGsnov0 /MIolkO7mTYFnCG+EXZ2eWoUA196wpz6ncEdU9K2LX8Mbn7bW/oCXXA939DU 0Xkco3Ui0bIarmjsYt5ufHkCn3zP0ZFzuSGSN8hiY9sk+lmbj2n9cYN13Z9x 66JJ7I55qhQ64A5rejYPA8MpeOr9MGfe8IDd9b6uQoFpPOe6Ymcr4InQCrPF yPFpPPPSuOUn9AbSDr+WY4xm0FhtfskOXtjR1tVY+20G7zPmZFNueuPBMVZK /oezGPD6mm7j6INXbtqKW12zyHW4I5Ch7QuZOh5eV8xheUhTdeavL+ZOXcjc 8WEO9FHUbexxfqhS/BK68HMOedXFeVzR/vgZNWW38mAeZaWMngVE/e6aUB8r 2jAPirsudzMbAlEac4hpjmMBdokRqwvrbxHKvc2N/+kCOFySRDTEguB7P0Fy b+oCuhV2/Jj1CoawZxxF5sQCDifJmGWthoD34vD0X6ZFqASEeV3lCodYVG6j meIiOKdLrAXEI5DOfzPc5jlRz5tZ7lM4H4ma0RerIT6L+B9Q12WH "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.2549999999999999, 0.1499999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.2749999999999999, 0.1699999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.17499999999999982`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVte2t9EYFezYG0pUYsGe2IIsNcYWUOy9Y42ixq4kdmMsERsqGsXe sGGvL6ISRECpIqAoTXoXu37nG+N95r5jO87geHMzvnO/k7/e8Yy55t77t/dq c601X8sx0/qMK2xiYtKymInJ//1dvPB9E4sVUYbRN5cZhtucUp2vO4Wd6h8i XKbw9Rcr7XyEB1ksMD99/pAw/kO6Pory6ugt/jD+MP6wT0KhR8Niz6oix18+ 6DPOXw2b6m5pet9PGPtAU7PJP3YOETuM3fpq5YnfDIgQO5ySOzJlxtYwYcoX mlZvfJGJj6Q8THmY8qkuVT0TbZ5KeRh7/8m1m9+9HSd2GLvh2y9PneyZKHYY e4OaTZpufpAkdhj7pvyvTswblapid7ZaOmHqA8PjOXtKNR27TdkZ7HvnLQwU 5nvAB34dZtOy3VXhr47/eqh46Y2q6euUh7/2/UPVPlXWd4e7tzD2tKafpa67 cl/ZVdzW/sqiILHD2CnvHVs2eUBAmNhh7K5bLJ7ViokUntLNOiEpK0bY/d3O 7EFLYsUfO98Dxk55/M0e7Jve3ixB7DD2WaeOZlpueib8+NfTTkVrpAh3G3sx PWV/mrwP7Lx/7NRv3if1G6Z+w/jr36++vuvfL3bKU9+xw9j19V3//qnPMPWX 68HYqb/YYezUX5j6ClNfeZ/wjiJvN7muCVEukQM3Hnd7opzXT/5p8Mh1hiqW aUsb9D8o9pJz1h2JXxWqPtu3oZVfuWsqwyM/4HThNCl/q3b8kAN+t6T83p0r G5qYBAu/PjOi3MY62vN62him3GucKfzu3jeNhyenq+Zr3SI6zX9osD5xtL/1 9Olq0/HgRmtHhwk/DzRbFNY9SPjEkxX72zv6CdPe4Bl18nvc/8pbeKK/f+xt s7PCtEezBruvZI68LPUFRl+rORuuWfU8JxwT5XHp4gyDtH/Kw/Sn6OH9oAem v8Afxh+9lEcvjF4YPfijHzv69d/LaeWHAa0zAqV+0T9Qf2HKd+kaFVQr5qnU J9oz7Qd+/f3EQMOzQFXtddK9pKxEVb53fNGYcUfU3qoLStXtmi7vk/EL5vlh vhf3o35f/y1iVp+LPmp5SGbPgPnJYqe/4Xlgnsdx3TiXOR4J8jyDVr6zc12T If2Jzy+GtEV2Cbb0JzD1A6Z82TbjrZPG+Uj/A1Mepv+BeT449MsMj8E3Q6S/ GZRcqkOb78Okf+F7PGmU1HSgV6iyfuPWKa1cmPQX0SbX+rdwDPlo/PMOan03 8G2S2r9xl0Wl0je18Wu5ZYjfak9pf+1G/Li1hQpTBz+vfMyvVIiq5Nn2p4p1 w9TYbleGN676VEV0W2MxIzhEfde1R4llbePUxNbfTa0y+4zafMz8ZcWAdFUi bl3SoKbbVX2PScPr9M5UzjdW3pzX4YFtmeURnhmTVwtH9k8dNdN3j3Bo1IbA JZsvCHeY43F4eKNratXM0rUmF9ulUqvkd2s73kfsfu4z7ne45Ku6JZ/Y/s46 wiB2h+uTg46HC1cZZLu49pt7wouthn/h+9ZfY2P7gdtdae+2po1BuOyghY8j v7kk3K9y7e3TLG/I86R1K/Tij1q3Pnq+XdGGaZ7F7wu3W9Zl/CSnIJXoW8uq ntd9Ke85umz/3ir4I/9Z6wOmLqwWJly2VT/HFovDhbt1ivqhs3WkcHzS6DFv NkQJWzxPmlTKNkb4UUDrZrG9nwi/6vumZeqXscJdD9me9ImMlfo162HxAJui T1QnS/vyPXdq4z3lxzYufObeqXjh04u/a3JsbIKqNv7yvsMuwepIj4vpF89p 9oCipi3Otn0mXH2I3fH1ac/Uzuhp05tl3FPPRr4bsaaqZm/9pMzpbd7Jwita 9rWeNTtFeM+lSs1++j5NOLPkkGOD3qcp95bhrZ4P+kPmC/l7hrk2SDCojtb2 XTzbpUn7G7bzXpMX7ukq+GHpkf6Xrsp84qvNC4vMr5lwnfkC15f+ycjSPxmZ 9grTXmHmA6sM38eke2vzAezMB2DaM0x7hhnv626/E+P37L6M//TfbibLg/vf TpDy9Jewfj5QslqhMsMXpaqdqRGGdjduq4isLf3fbU1RkwdfjNiy8abqP9hg U+ibVE1fWtr+mKdHVYuztRcViT/9Uf2dVPTHpzs++KnVc3+qdLJfmDJvMGb+ 3akhqvisJW+3FQpXy1/Pu+FcIUIlXV5X7ZZPmMrbU+rKgZQwdbTei9EH0sNU 58wIzwm/P1K2l78wC/pH/XNa/13bLekxKv+7ro9tqt9Vu/eHFW8bp+l5nj42 eO6hm6rJlQsDTC7vMeifh/kc4wl2mX/pyjM+rjYbfbehZ7DMBx0qF69Z9ssQ Zbmv3OLkkXfU+59/b7XYIUSNunTbYnc9P+W1tESdUXtCZT5eOnNEodc+oSpw p2nsUZsg1SImbsm+fqEyX17aPb+J49sQtbXmxOX7TOJUsyYL72/8R3/AeFX7 7r6FdubB6uQkKw/31glSP0PdXk2wD80Qdnm8fEbvXzKF6c+ZjzBe9Sx5NWVS 3ENDsz/WdDP0d7etUHK+T/UyGs9pfLrquBehwqca57U/czdMmPkJ1zPvZb3h 7ZkgsUf0TJ5yIua+8I9POi3OXH9HOOWJr++aNneF6X9h5i9c36NO22kWpjfF 3qrOGaulo24IZ9zt4tZgjKdwrH+fRmPOnBPmfch8zvh9t5Xd4HG32BmtPbkP SDCN9pL3xXhcrenKyqtuR0p9OWr2LK1LxVBh3gflH8/Iv1bNNVjskW4nrM7c /UMYfZTvPCnAd0jALbEvXWITOPrMcWHaJ+WHVI5rd+7JBamvLqEnc6Id7gij l/qHvt19FwWa3g0QNjvvk+G6IVj6C65fv+gGh697+WvXzxlSvWy1ULWue27z q+0DlZXjg0CfcaHqiteEpQvf3pP76fuz/cPsE+xfaP3f44mhaSP3PZDyzCex LygzNK6S6UPhs9VjU+qfi1bxv80xD6wYLvNP752nRn1vFq7GTOmcN+z3CDVk 3dqFFSuHq9eZ8S7mLpGqn6fznrEvw9Qt5/03XjV6pJxcRh1ZWSFcpYWvOrHV Okrurx/PenpPfBpT7bHwd8/m5s2LeyLlaa/YN7S7Mq2fq9Y/n/T6eebwKXGq y6q5Ne7uCFNnVe5At9wYtSDRftX2l6HqwfEhnSs7PVXvgyp0rro6VNkWOdIn q3GsXJ/2zvXelPfOaFNLGz+ruq3I6fg8QbkuyH1W/0OwahJy3esXm3jxZ75N +XHpvlNrHk4UXjZz7Qyrn5PUj8scip27FCjz8wEtztjV3nRfXbWsdS1va6Kq tDhq0PvNd9WN4IotKl5KUhcXrh+/yzVA3ZgRmv5loSRtfDSOr1z/ns+9tELN tfE63W5TllmxVCnP+Iq9rXv4D4mX/st4YuU2LXP9P/qr0M+OtiwaLvHz0lq9 it7M0dZ/4s8PWmLS/q7M/927Bzyp2WeLtPcLa9q1nVttsbDVLdP9lQ1haqLD 0pu+Z8NUj93pnpV/9lUjH7r4l/FKVtFeZoEXnnmrvlev9lz4Q6oaNWnm9ull gtSd3+edTm6UqIYtsFyjrHdJvFot5vebCyp7qK999h2Mn56hzs5b7PQq44g6 6TwhNd4lQ+aT34UkN0vpfdFAfAATH8DEBzD+vrX8Y6s0chF/GH8Yf5j5G/MR q9OZ38b4PBJufsHQ0+pNrPC9Lb+8iTZ/Jjx1Vq/DmxqmCpfoW7l/j06ZwmHb MhebHM8Wrruq74Ooi7nCM+deaHzh1nNh7/HVl2+8/0K43IBFkVOjXwmP+i6u WfekN8Inv+r6S928d8If6hx79OHDB2H0Mb9CH4w+GH0w+mD0weiD0QejD0Yf jD4YfTD6YPTp9VD/0QOjB0YPjB4YPTB6YPTA6IHRA6MHRg+MHhg9tF/0wOiB 0QOjB0YPjB4YPTB6YPTA6IHRA6NHvx7N/Bx9MPpg9MHog9EHow9GH4w+GH0w +mD0weiD0Qejj3gDfTD6YPTB6IPRB6MPRh+MPhh9MPpg9MHog9EHo494CX0w +mD0weiD0QejT+Izoz4YfTD6YPTB6IPRB6MPRh/jI/pg9MHog9EHow9GH4w+ GH0w+mD0weiD0QejT78fQ/yKXhi9MHph9MLohdELoxdGL4xeGL0wemH0wuiF 0QuzXkE8h34Y/TD6ZT3dqB9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6z/az DK/dNkv0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPon3dhfcdNP 2aIfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0W/RpH7/z71zRD+M fhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+jP8Tt2Oa5RfNEP4x+GP0w +mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6N/VbGmock9not+GP0w+mH0w+iH 0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRr/tLM/yw9bni34Y/TD6YfTD6IfRD6Mf Rj+Mfhj9MPph9MPoh9EPox9eFfzl1vonH8r6a+wfQ1/2yHwivPhgnQOFiiUI W6xI7X3RIln46tgz751apQs33nMtzPxQlrCzi6V1hmeOsP+iFUvvXM8TrjYt OWK/X77w5BH2TReHvxS+aH96xdDY18LF21eMbpXxVnig9fwW5q/fC6MPRh/r ZzDrXbD+vAXrNzDrMdQPmPVD2d8wrneXLhH3fHBUlvCtueO/9q+VIzwvPnmW rWOucJPeU8+eOpwnHHctK/eL9OfC+vqIPuojTH2EqY8w9RGmPsLUR5j6CFMf YeojTH2EqY8w9VH/fWT/xsjEg7x//f6L/vwF4znM+AbT38P0fzD9AfvvbiHZ g5yi78j+d5sOM39T11NU27ibHez3PVBze22uf6fcA+HzUYcPzPF4LPvf7Jej h/Vivh+MnfVP7DB21i+xwzwv++3UR9bT6N9g9uNL5S5eW/x+pqyXt47aOenU MA9Z74LZz5leO7qFZYczwr/NXjLVou1eA+v5lIdZL2P9HjuMnfvDvM+n9Xcc Ou72UN6vXeG9VhvrRMv7IJ7GzvkamPbM+zlVO9ahyMR4+T6B46eUGfp1krwv 5sOcv+H8BCzrq0b9+uel/sLUX+5HfeX5WY+iPOd/qN/cj/4Gpj5yPgh/zovw vJy34H6s71Ge8yjYid+x8764H++D9wXzvMRT6OX5GE/4HvRX8IMba9I/uxIl 3w+mPeFPfw3zfme793W7HBwj5VkP168P/6vnTWhf/+y8CM+Pnf4Wpr+F6W9h +luY/hamv4Xpb2H6W5j+Fqa/helvYcZHOT/zv+z8C/sZwZejLH1enTLA/h2W rg+9fdDwxcqTizZmRsj+WoaF+4nrTpHCJ/fsTlu0/olwxYzKRSr1eipsv3jC 9laH4oXP+Mec8h+fIJw6ommX9OtJwr2PHRq+7Odk4V/bv8jZF54mnPnrNLN2 runCFX6L6dV4bpZwl7M7hr4M13jMT98eLL4sR9h134fTIbEae0459Dbutzzh xI1ji5/M0NhkWIm+Brd8bb9y6R8jVr/W2OH7aUfcDr4UXj6j0blxRV8J72oX 8mG252vh4FHrS3Q0f6O9zwatB/S+/lb4C4fc0TUs3gnbVt3hYe33Xni6Gnjx RYMPwgWdf9Gfb9GfX/nU8yd+JS7bBV/Wzp9QX2xamVfedyJLODbmTGjZ4tnC WXu3DKiYq7GrXesKy+xyhA+Wqer6S+tcYbtLl/s+d9F4iPPOsFcL84RNrGw3 TQjTuGxyrYpTvJ4Ln994I/hh1Xxh5nsw443+vIT+vEtB51X051HoL/Xzpx79 fKotX6adL2M+JeefjPMpmPkUzHyqoPMcBZ2H0e8//tXnXf7q8yX6/c6Uo+12 T2+5XY3cv25/697a+RKZfxnfZ+mV0d86rzwnvKtfoa33B+0w/KefP2H+wnjm 0CGiUPGB4dLfeDnOte5e7NG/fN6C+QXXW/tuwtDZKx+L/weXz74duiNWmPiY 8mMfLRySPSRO7L9Pu5tZ7kyiMPEz5Qtd/bbY4R+fif2bnpt2+vqlCBNfU363 W4mzI1aniv2h9dDui2IzhIm/Kd9+fsioinszteutKPem2j/asZzHMsbnlM84 FlA0MVqzm82e3Tt/Va4w8TvlbXc0H34jSbMPcXx4KGjzc2Hie3mfq7ec2Zmn 2Q/3bf/ew/2FMPE/5aPnvzKdZ6KNVy877em3ykMbr1gfoHzDScNH9S2pjV9d Wnx+bOxFbfxi/YDyCwbdON+kijaeuVpOKqRuaeMZ6wuU9+1ar5RZXW18Sywb MLDafW18+58+T/Op513051f+7HmUpB2Pup+8fUmVar7ez+9zLR46ftW92dbt aQWe16A/Yz2E/mtlg5yzD8Zp7JoW0iraIVvKs14i47Xr7LzuR7Xxx27wwDk9 t+RIedZTZPwu/Krl1QzN38Qn8pzXw1wpz3qLjOfTnGc2aanx+RYjnreweC7l WY/BPiz6g6f7XI0n73761YEx+RIfSn/1iedtlh96Fhz1IFTq0589X8PzPVnk 8GJSSW1/h/iI+RhMfAMT38DENzDxDUx8AxPfwMQ3MPENTHwDE9/AxDcw8Q1M fAOjV39+B0YvjF4YvTB6YfTC6IXRC6MXRi+MXhi9MHph9MLMfzlPjX4YO+er scOM18S7xM8w8bPkTxjjZxh/4kn8Yfxh/GHJLzK2F/xh/GH8YfxpX/jD+MP4 w5KvYIx38Yfxh/GH8Sc+xh/GH8Yfxp/5O/4w/jD+MP70J/jD+MP4w/gTv+MP 4w/jD+NPvI8/jD+MP4w/8Qj+MP4w/jD+xCv4w/jDlCeeoTyMnfiG+In5ueRP 6vJN9fmQers+n03yIY3zb9l/Md4fZv4Mo19vZ7zleoyn6Ie5P+Mn+mHuz3iJ XvpX9NC/wPr8aJ6P++v18r55Ht43+XjZfbreTpqeI/l9Bw1+RYaey5X5CPlr rG+TX8B4zHo+65PYyf/73tQ0wbJ8ruQTmsxZW3fzwDzx53lZD+V+sr9jvB7v BzvPx/o5z4ed+FzWx41Mf058gx3GLvl4xvok+XhGRq/kUxrjG1mvNzLXI57B DmMnfsEOYydewQ5jJz7BDmMnHpH418jYiT+ww9iJN7DD2IkvsMPYiSeww9iJ H7DD2IkXsMP670X7oH5Qf6hf+nxT1iNo75J/YKyfrOfD5Afjz/oQ/pJPYCzP /gPM/hb+xDP4S36BsTz7NTD7Nfizvoe/5AcYy7N+D7MfgD/rLfhLvoCxPPsf MPnQkn9sXI+R/GPyAYzl2e+A2U/Dn/gJf8kHMJYn/xZmf0n+j8C4Xin58pzv N5ZnvxBmvxF/1i/x1+9H6fPF2Z/Bn/Um/GHKs18Esz9I/6HPF5Z8PCNLPh75 xMb5GCz5d+SHkX9nZMm/MzLzGVjy64zMfAPWn9+j/dGe2K/kfTBfIF/7adPC 49uvzpL2p9+/ZDxl/ILJ/7ZJvLlijnW29P+Mh1yPfH+YfHeY8s3b12lrP/W8 jK/MH1gvQ59+vwomnoGJZ2DiGZh4BiaegYlnYOIZmHgGJp6BiWdg4hmYeAYm nvmr8r8pH9+mqenonVlqVlTyw02XA2T+setm3XMdXobL/IP5z+G1rd4nnMxT Bze4vBpg5WeIX9h1y5nZOar+2+k2fWqHGbIefzVzliFXpW2qFFekzA0VExlZ IXD+YVmv/e/mZ6e0u3V78ej7qnaC09Ri9QrO19bnP/9vy9/+f52fXVD+dUH5 1n82vxousanmydGhGcKDE0c1bP9Lpvqt0wKHluGnPuqPvg0dXGKOZY46YWfa r1JbbX4/xW5xr2YlgwyVRs4dfbyGNr8fkLflbcq8XOX8ol/15kHBMt+vlPft xBX2Dw320WWeDR6Rp2r0cbw8r8/H8//DRzu591i/R+YzrHcVlM89asSrwhun Bqn/bn73n83nLihfG5bz3vbXTFLVdYkXGT/eJg2efmVctsQvdcqNb5YdpMUv ntnTp9+vnKcsBk6z35tyzmBWvPfQuKrZavXeEhmNJ12R9zXPJn128uXramqf emWm2ARfLyjfu51h4SnrH4PU5dCDt9f08f4on9RpY6+fTpfcZSge8P5xY8cs tXfept7bp3obztu1bdvDL1sdLP6bKv37bUPpkwFrW5lr66P/LL/bqWW2064H vhK/9qzrZHaihL+6cTu3zq3JxwvM/y5b486tz9J9VIWzVc2dl89SRbwbhnnH 3Ra9BeWH23aand+7gZeM5z838fUq9OKiem/baXia3znDF6alSxQtf1WZn3+5 d+BeT4lHGT/0/zfweZ+srZUveMj7t3SImH2wwsGP6i/595+a30z8xv2vf1/v 6IzygXL9VnbHckpdvSd8cXnNg9eehwj/vDxyyTRLjYn3uF6NsXubWLV9IPYB YxP6zCoVIZzX8fiHhvWihS93nBwV7RAlfLRc5ppDafckPhxwZZR1r6cByq9r Rmdz07Nqwf0iS7znB6phVu0vOIafU4e/9tsV4xikZpeKrOtc21viRzk/U7vF qk0TY+T63V3ahU+3eCK8fdEua7uGscILPzhXq+f1VJj4kuvdyXgy3cQ/TuzP nAov+7JVvHDrEeMfFu6UKFz1cec/oh4kCBOPcr0JAYdrXoh7JvYV9n5NH9sn CYfZNFl5aXCK8IWrJWdtzEwWJn7lep97TPeb+iZV7HWsN0ZvHpcmPLN6fovp MzKE++8Ird29mMbEu1yvz3c7v9lomiX2UZ8fv3XAVuPi7x5P29Q5W/i1TWDi ojIaEx9zPfevTDZOrZgj9lN5Zasv6aHxoLROPk4OucLdrFu0H1pdY+JprpdV xzGpm2We2E3iZ80YNkDjw1EHa/QY9lx4W3XXTa2+1Jj4m+vZlve1rds4X+w9 QyL+aD1G43w/s5n1Jr4QTjR7nVyupcbE61zvt8LWWz60eSn2Xd42FuWdNO5y 2emOyaxXWvt7PbxDuq3GxPdcLzp7fWpk59diTzvtPitjvsabjwTXil70Rnh5 8g1X3x4asx7A9ayf5nY87/BW7DZ7ity9s0Lj+G2t5lxY8044NKJe+r4BGrN+ wPWc7w/ctmHYe7GvdploeWCDxi1Wuflv3PpBuK7vr98uGqPxf9r/L/zV/5/w V//fwaf+f8Gn/l/BX/1/A5SX9Qajfd/8Ryl+nTJUuucAu+bhowxeS8zcmxbL Ulnfm/3ou9lf4uEq6W3upL50kXhd1qs6m3/u3DxLVemUsTrn9U1lsLlkVTPG 1fDsq1MdXnU7bpiz/4eaBkOWWtDaza5FlUDD21ZDp16/k6PaxA4yjWz5wJDU 5PWDUWXy1IhDcQcCO/kY/BvbPFxbO0fFd1xbKMM8xDAhzXBxs5O2vkz7aeNo f6jmmVuyPlDUK3lf8rjb6uXDWslXbZYZIp2vT2g0+6bMb64Hp51c0fuaoUVS vtXNH7NVu7Bqn91fcEcN6LXNMfLdLjU+bkz9kv43pDzx6szhG0o/djuobjnf Kqpu+sn6AfGtfn1Av7/J+2M9QNYXjOsBMOsBMOsBMOsBMOsBMOsBMOsBMOsB MOsBMOsBMOsBMOsBMPqIH9An/wdo1AejD0YfjD4YfTD6YPTB6IPRJ/GOUR+M Phh9+v+L1e9XsT6BXb9fxXoF5WHK69czOJ+HP4w/jD+MP+cT8Yfxh/GHmZ/r 9zuYnzPflf975f9N2S8zzj/l/1+N80eY+R/M/A1m/iX/P2acP8HMf2DmLzDz D5j5A8z4DzN+w3xv/f/VEq8z3hKPM17r84P0+2/6/QV9f6B/n/r+ATvtB6b9 wLQfmPYD035g2g9M+4FpPzDtB6b9wLQfvR59+2F9hPdLe2K9l/Va8kP0+4XY Wd913bniwMlALV+W+sv4wPqy5IcZn4/1c/pvnk/ONxnvx/4mzP24Pvfjeuwf 8vyw5KMYmXwKGH/Wn8mfwL7asG5fm+dPhSNOZL8qXyheuP6u/g6ZJROF56y7 dNCvSpKwj3PNdwfqpghXmLKk75JmacKOQxOODLPJEB58oK5JjbpZwoV+H3DM tGG28OHNqwa8aJoj7LD2cqGEr3OFXy5L8wj+Jk/YfaHFIK+Oz4W7zHT47ETX fOGMyUtP7LB/Iew65uzgX/u+FLYdklhk7uBXwvG9q5xyHPlaeG33HkP7jHuj 7f92dC7a4Ye3wtFtTpxuPOOd8LJmT4ZVn/teuFF98+KmP30QlvwuY/8GU5/5 ntRPvidMf6jvH/Hn+8r/7Rm/r/y/rbH/xB/Gn+9Peb4/TH+LP4w/9YPy1A+Y /hl/GH/qD+WpPzD9Of4w/tQvylO/pL0b+39Z3zEy/tQ/ylP/YMYL/GH8qZ+U p37CjC/4w/hTfylP/YUZj/CH8ad+y3qasX7DjF/4w/hT/ylP/YcZ7/CH8ad9 UJ72ATM+4g/jT/uhPO1H31/Tn9LfM37S38r5UGN5znvAnCfBn/EWfzkvaiyv Px8y1Lpn54BXeeLPeVH85fwo+92xZRyL7tS47PagZcpWOz/KfIn+Wv//zZKP YWTJxzCy5GMYmfmb7Ncb9zuZr/F+OG/D+2E+gn7mezDncXgfzFfQC3N/3g/P y/jK+Mf9eH7O5+jP+zC/mbZ7lsVcj1tqQZK3W3WLeQbK8zw8H98nyMtjhtdm LynPeM34zP15fvTCXI/vR3n0cX/s+nzEf7a/S3z5n7a/q8+3/P8uv/Iv3m8u KB9Svx+t309u17B+jWFTg9W993dbNm/so/7On/z3zp/8s/mLn7pfXFC+46fu JxeUH6nfb/7UfEn6W8YH/X5gQfvXjxs6/hzyX/aniS+trsR177Hc+6P9d31+ S0H7xfp8Sv3+sT6/Ur+fXFC+pX6/uaD9zoL2o/X5KPp8nYL2l//V/WPyeQra L9bnAxW4H/yJ+ZSdjuz+EFjf66P4vs9ki+Fztp82/L2/+/f+7t/7u3/v7/67 7u9+aj703/nOf+c7/5l8Zzmvxf+b/Zvl4360n1zAfrH+/Jw+X/nP7ifL/3kc G3p5+fOZhj+7v6w/D/g/vd/8fwDMxdok "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlllslVUUhffpdEtL4ZbbclsKnSgXKC0VaBEoICggihMoilqUwQlEClbA NzVGiTHOoHHGeZ41+oBznDUOOKIxjnGIQ+IQjUbjWlnLhIcv/7nnP2efvffa Z/+3ZVX/kvVFEfE7KAZLQDcYCapBFRgCDgSzQQGsBWvAUFADsl47AbSDYWCs 92Y9V+M1OTAc1IIOj/luPzDRv+eDLlAPxtkG9y0Ae4EGMAAme00/OAxMAgvB XJ9JvyvBYDDG4yr/HgQqwGawyedOB6M932kf81472PsrbbfKVNu/Nq/h3nne n7fdnGNstS3a+AC8Bw4CR4AeMAocDZaBEnAUmAqawArrkwHjbZP+9QHqVwb2 Bi0+4xDntMNadnvdPtaGPs9xfnOOqWBNe+1rpW21OK6ZXsM4Zzhmzs9yfpmP g72O787m/qS87gC7nd9poNm2b+WZST5tA3+B48ByP0vBzTwz6Ywt1oy1si6k P/PMWmjw7ybnrcS+T7efrT57kP3tdYyjHU+FNehxrtscC+NdBKb4jGbnmnZY 66w11kFyrovMKNuZax1YA/taP2q3FCwGjaEazHu+2DHQ/xtBeZKPWdvIWcNZ zjntn+ozOqw76453aJ7tsqZYW+Whe7LAsbR7P+122r9a53N/r+G9Xui1zAd7 QcF+L3bMvJfznX/m70jHwLo73LmgJgc4rhL7xFiPsW+cO9Hz9HMlWBWqba5b 4bxy7bF7rOF8xu/6rMNyj8v85O9S67TGum0M3T/aof6nWPOhXsM7sdpn0P4G +/q/nyd5nnV6gu2f7Hfl9mulfVjm+YxtV9s+c7zIea4L1XTe+Z1tXwpeyzpk 7cwJ1QDvwGZrzecW2+h2vousRdMe+SvzfKN1S/Yt4zV9joPzm2yXNrvsV721 rrfPvBOTPD7N/nM9+/GZ4FBwGfjTml0CXgvVQREOuS50R1njO0J1ThsDPmMa 5l92ngb8bgS4CHxl++xh7GtZ53at9T3De0b4vA3WLu/Y6pw7jmvt30ZrN+D9 vAfrHVud4+13zOs8T/tXgn9C9Xp8qN6Y67upRdIdeh2cFeodZZjbGepHn4Bz QjU4AfMPOcdVGD8Z6lNtGN9vHT4HX1j/q0NisRZL8bw+1OfYaz92PrOYfyrU L+6kv0l1NBHPRxzLY+AVx3ufz6D982gjqac8YD/ow3g8pyTF/rD9ps+M6Q3H 9TXjSKqFJ8Djzh97+U2hHvw9+C70v+NR+0R/fgA/hnoHvw+3hHreVIyfDt0N 5vWuUG7fZBxJ92UMns+Het+MpFphnbRg/FyoxzVg/GzoLtVh/IxrqAPjF0O9 jOe85bNYa1/azhXg/dB3oAvrXwr101fB1lCtUrdMknbU6gXn8zNwYej7XIP3 w5LqlZrcEdKlGeN7Qv34HdcQY8xj/rZQvVdgXJnUs3aB80NaNGKuKel78A34 NtSjPwUXhL7PH4LL7f+74KNQHxyLfe1JNV2S9P3mt/Ne+0R/GGtnUrzMd845 Z84KSXlj7luT8s98j0zK+Q2hGmV9Tsbz7dA9pQ71SVqwpnY5ln/BVaEezP+n v4X+E/0Cfg19Y8Zh/YOhO/oz+Cn0f6ob8z3gdIz/BttD9/LaUN9hz+FdLE66 j3+AS0P9PWHumlAvr03ylX5Sq+HWizqzN1Fr1k51Uv3wng1Jumu9eM5M6oO3 Wz9qd26ojllX9PHikJ//Ad8G0Uo= "]], Polygon[CompressedData[" 1:eJwt1GdsTlEYwPFzkNaIPWKUqlqlVNFWF7X3KiVFiVKE6ItIbIkZo7H3jE3s VetrJfaKGTMRe+89/k+e58Mv5973Pffcc55xwzIDqdn5nHP9UACf8AGh6IVt KO+da8ZYG7swD+1QFyewEO0Ri5u4hU6oion4aGvFoCRrbWWs5XTNsziHtmiI G5iKgrbGacTzzDjG+qjJ9X7GKLRGPe4PMTZAGxm5P8IYjW52li/obWe6i3tI QDje4xm6Iw1P8RKpCMEd3LazyH6m4xI6IAnzMQst0QXTUJg9DLN3nEEuOtoZ r+Kaxa4UruAyiqOpxXYmmluMi7DWfcbqTtfMkzzwW7bkBZtQlPtExhqoxvUe iQtaYQcq8VsKYwRKc10Gw+2dj/HEYtUV5fivrNe9yZx1UhfcxzOGYQkuIM5i 8txiFmIxzMEcWy+A9Qji+SayN2xBCe6TrQYW4SvS0Qev8A49UVnWZe5O23sL i/0Mi5Xk4ICsw5yRTmPy1mnNxdgaLzABjS2nk+Sa+WOc1qvk5jgaWY4+25xY q5nZclbmj2WsiFO4brUwGifxzfY+Cm/sDLL3HhaLRJ4fbzE5jCivtRptax91 Wvvyjn2SR6+5kxqvw3WE13fLGQ8i0mvtS81Lb+RZLUiPnLc9yV6kJ49ZTgJ2 xu92Btl7XyTxfILX3MseJ+MXBkjeMAV/MQjB2C114DUXUmNSq1W4H+G0Ztfg H7IwFBX4b7vTb0cKinG/2WmtJlvuF9te0i1Xry12krNw5u912vvSY3Od9qD0 XmcscPoNknxJTlfiNwbann9gGfojA8vttww740M8ctq7kXBezyxnHYJQr3Pk Pzmj9OIDe7f0ZCH+3+j0WyI9chFLnfaG1PxPrMJg20N+5q912ktxFqvV9q4s 2/sKZNoZ5FvovcZSvonBXG9w2kvS838sZ0H2zH8mK54d "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncV9MTx7tziPohS7JVlC3Zdz9Lu1SWNtoXPZVU8kQoJJSiPRWljVL2 ypJ+EhUhJVvIvm8hyhbJ8pu3+dzXff6YZ+7cc87MZ86Zc87nfp8aJaWtLrVy 5co953+S6yGur3O5NitXboDry13q+fNml4yOLle51HG7gUt7l2YuZ7sM8vd1 XTd0aefSVG0X+/vGrs93aeNylksTl7bS9Lsgiz60dZC/c1xKNI72Ti7nupzn 0lm6uUsX6RYuHTWOfl31rqVLPQs/3Vwu1LtWLt3lG1w9pMHVU5o8eilPcF3v 0t/lMpdLFJs4vRUbjH2kwXi5/OKvr9510fjuausnH+CaYZFzqeKUqN8A+bjI 5QppcE33/ne4NGBdmGthGSjdR+86CN+VGse7QWoH19XS5DTVIv51LkPKYLlG 7f0Uv53mZV/vX8GlossNyo28hwo3eIdngQ9cI6SJP0zt4LpJmn43qx1co10G C8+YMrhuUTu4+lj0GeUyVu2s1ThpcI2XvtFlgjQYb5UGyyThAO9kafDeJg2u 26WJf4lFzKkudyg+eKdJg3e6NLjqW9TgpS4zhQ9cs6TBNdtlorDMkQbLnWoH 713S9Ltb7WC8x2WK8NxbBtdctYO9oUWfeS73qR2890uD9wHpGS4PSoP3IWnw zpcG1wJpcC2UJo+HpcnjEWnwPioNrkYWWBZpTaidAYo5VnP0uPCS3/+UG9iX CDd4n5QG71j3OYZzx2W0he/nXJ5SDmB/WhrsSzWOthXCDd5npMG7XLnR9rzw gutl+cXfKpfFwvii9BMuG1zednnHZa3iMeYF+WDMGuVDHqs1DvsV+V7m8pLa l8peIEyvygbja9IrFPMF4XrTZaXm4S1p8ii1eP+Gy3q9Y8wHirdWuFcpp/eE D7zvS9PvQ/VlPj4WbnB9qdjE/ETvwPip9OuSFZrvz13WCc9ZFs+fuXyhd/j6 Sv7A+7U0uX6k+MT+RrjfdflWGuzfSYOdM2ur6z9cNmk82DeqnTn4Xpr8fhUO cvpB7xjzi3DTtlk+yLWJBfafXH5WHvTbIh/k8Zs0efytePgG1wbl8Yc0eTS1 8Geuf9c4+m1TO/n9KU0e/8gf+XF/bxLGv9ROvB+FlzWhFtln7DHu/M1qpx7Z c+y3HS1wE397i/yZm/IWmvx2sYhBTjtYvGPMzhb4aKugHMj1PxZ5ksdOFpp+ lSx8kMeuFpo89rKIh+9mFvOxu8seek4u21nMO/h2E38hp8pl2veUJo+95Y/8 9pEGYxW1l9e4fD2pKfYE+2E/3YHkUc0iB3LN7wzO3wMs8iGP6mpnnvaXpq2G 2sF7kPIB78HS4D1budZ0ObBM3nAweBn87BD1BXstzRf5HWGBtarLYXpHrrWl uc8P1TjGHKm+1cT96rvvM1yO0jvyOFqaPI61yJM8znU5zuXMrOBq/3I3f3e8 Bedr6fokCx7YyvXJFryxuesTLDhhC9cnWvDF1q5PseCIbVyfZsEF27o+3SLO +a7/a8EFL3B9qgUnbOf6DAte2N51HQsu2NuCp7bOAhOcEL5I7Dayc86KDdZ2 ssHaXjaYOsgmdkfZxO4kO+ev2IdrvlkPuDbcGQ4Nvq6ar2M0r8wpvuBuOSdF 51wM3TMruGx3jYez9VXs3hrfWe/gf/AsanREVnDHq7KCB/co02+gcPWTX9q4 ry/THBETzprzp0mKh7+ce6KvkO8BGg/vhRN1ywoO3Vu+4J6lWcFTB2UFJyNG Xwv+NzIL3gdnGCO/8Imck6LhgvBlOO5g+WXMdcIyVGNyPjpM2IfLPl+YuimH YRrTX76HZAXHHa45uka4c96Z81D0uKzgtaOzgo9OUDzmb6LiTFQbvm7Rmg3W OHgndXyh1ifnvmPLjMcf9zN3FvcZ9yX3xtfqC6+bkRX89Y6s4K/TNNdwtjny O0NtOU+dnRVcdmZW8NQ7hWG27Al6N0trOFd+c04JB8v56z3CcZ/snKdiT1H7 vKzgrPdnBU/NeeuDast56vys4KkLsoKnLswKnvpwVvDURxQbLrdYsZ+QTWz4 2yJhWSwbHEvUDyxwvaVZwTufygrOukQYl8o+04ITPyZ8yzQGTHCk5YoBR3s+ K3gqbXBe+O5KYaL9OeFapTEL5WNZVvDUVcK6WjaY1sgG00uywbhWNjm8LBt8 r8gGB3wObtffgl+uU7xX1S/nqdhghdO9IXzU5Xphekd2zlnfVE7rZYP1XfUD 63uyc276nrB+IBt88LUPheNj2eD4RHbOTbHBDV/7TPi+kA2OL2WD4yvZOR/F 7mfxfThF+OBvG7KCj36TFfxyozD9IDvnqd8K90bZYN2kfmCCg/wkTL/IJofN 6kcOP8oG66/qB9YtsnMOukXYf5cN1q2ycw66VZi2yc655jZh/Es2Ofwtu6o4 EXwI3P+ojTOLvT01K7gpbflvHAOUG3wLPoevXcSZGF9JnGkHcRi4Ss7bsMGx s+Lunryvy0CL/OFycL6cs2KTP76wyX9H+a6gO3of9asiXgUfOFG8BTlJvAU5 WfykvHBVEY85QePIFX4HzyO/yuJvOR+tbAXfrSRO1Fo+c37MnLIeFYVxb/G5 WsILt6gt3gAng0dMEB9rrLmpLg6Xc9DqineA7F3F47DhmHBNOCdrT/yK8nW8 8ttfcY4WvqpW8OL9hIt6qlBmrWoL907Cko85QjlgHymb9qNk57wTGz4I54Nz wfvgfHAueB8cEc7VweJ3QO7uay1sfo/pKA3/uM31ZJehZXzlvznCM+GWrMEp aseGc8LX8nj0HeV6pOJ1tfiOZb/2sDjfOdtLLL5bmNe9vDb3cLnagkPBV+AU F1p8Q7IPOlv8dsOdc5Fw87vfNIvfbHm+3eLu4OzvZTEGG55b1+I3T3hCHT2D Gz7cUvm1tSKndla0t1efRvI5T2veXOvOPoDHsw+or/NUF+wJOH0z1T48nvpn PrpYnK9NNEfMzy2ub1QM5qabxd4/x+Kbp6beNdX77hbfGHxf3Ox6cJn17KC1 Zs46WZzD09XOWo9w3VP92Ht8a1Hf7Ff2UP4NhM6/pdAHaw17aW4v1lrz7UAM znzONH5Y76e4t1rsvbwvGi55vcVasnbjLLgsv71Pcj3RwhcafjtK7/EJ173G 4puhkT+PV83mdy2a+4rf8K9UH37Hpz/fF8zHpcLGWO7pZ6k7Pa9T3wEay1pd pvfk0ltzfoX64Huc6hCsfCdy1taXH7DybUP7EOXLHhyh+afuB6nPINl8x/aR T3huR61vfeVAP75zmY8bNCcDFbuB9sjNWu9SzQ9cg/jXCwPj6c/37DD1eVZ7 jTqkdjgTaGusNadGO2teh2t+aL9JfeppjVnf+10fk2IPLHPZOcU4vkGmqw6Z y1tVE5MVr7Fi3iZM1Bl7m3Njgvoz//Qfo7wuVo2x73g3Vv1pgxPCoaaoP++H Kt5KzeEk1Rv7iv3AucQ+4wzi/Ml/gzhIPiYLJ/uyRP0nyg9rAd4pitVHbSOz oqZHqR6om2t1bkxQXtTgeK0bczVN60Ud8O3GN9M0tfGO78eZms9Zev/vb+wW baWKNa1MLU2XzxKN7ybfM9UfPUt+qNGeWtvRWgvO2L7C30frNF71M0a5j1Yt cB+0Fjb8ThXGWXou9brYbLEv+/vzzxZ7bopi4ecll+NS3D3VXa+wmLNG/vyO xZl+hD+/aHHuHujPz1qc0w8zrynO8bc1hv7NXJ+dYl9t7/q8FDkd5voFi3P9 aH9eY8FB2vjzE8qxgj+3TbFW57pepHU8JMX/EznvP3L5UXVSx9+/aXG3fO/S N8XZjb+n5PND1/1SnK+/unROUX9bqMMUZ/9vLt1T1Fx91+st7qim/twkxbkC D4ZLwa0+c2mX4s7J+CdnirPhC5eOKe6f01yvs7gD/3J5VOv1p+s5Fnu8fIo5 Yn5OdP2KBT+o5s/7pDjjWJ+1FmtEzE8t4hLnc4tYn7hckOK8wHfVFP67uf7a 4t5r4c8fWJw/zMdiizl536V5ivPuJ9UKdXKK69cs+MeTLu9qLdqn6EefTv78 i8Vd28qfW6c443Zy/bTFWV6SYq6Z564p1oD575li3pnzbS5/WHCZrS6/W9zD D1BrKXhqY9ePWHAO1vZjre8m1Tp13sP1Nxbnx7EpxjP2VeVzqtZhidaiYYo6 poafV41Sn4uUM/ne4/rQFLwEPrWnONUJrh+04IgPsW4pOOJjWm/8V/Z3d1nc HX+7/sdiz1fy93unuMteV61QJ2+opqnnlilyI6/7XI5MwYdWW+wf9s4ZrhdY cKxT/Xm+BTddZbFv2bP3utROwZPquV5owcNeVs1Rb4w7PcXYk1PkQy7kd1KK HFnnDinWuovrLy3Ocr6BdtV30HauU4r75zuXi1LwLGI2SBH38BT5kEutFPjA 9q3Wj7XbYFG71O3jLkstzvmjUtx/3H0H+PM8C154cIp1Yo2+Ej6wzXapkoID vGWxt9nXnBN3W5wVrM9uKdZo3xRj6M/+2097kDgHpYjFfNdNMecbXXqluLOf sTgfORvxvb/OopUW5xdn13KLc5YztobruRZ3E3NWU/P2fzSpJjA= "]], Polygon[CompressedData[" 1:eJwtlOdvjmEUxp8+d2OLESMxQoUQQlCrlNIqWrrfqkpRRWsWQcSIEVvib/DF f9BoI2LvvVftPUJDfLGC35VzPvxyneu57/d5zn3Oud+UqpXFtXEURQlIhr4h ik7xIBXyoT/+DDoCCqAX/gQ6HPKgHmKe1aDZ8A1q8QfQKbCY+C+6CHZDH3wK ZCdF0RL8AuIPaC5UwSH4qeex7WlAf8NCqMMfQZOD/bYE/xVtgdchKuAoNMMv Q/exfgxtjV+DroXBxBfQUVAEB6FNsLWJ7P+HNin2nPNZy4NNSfbOH/DFz64c L8Mw1kvQ0TCVOEf7iSdBJfE7NAfmw7RgNVEttOejvhPs7NOhhvgPOpnv7ULv KheezULToS3x59jW1sFJ6B2sV+rJe9Ux2LdyvTdLYW9sPVItjvtvVZNItYQ9 xNXwFubhKz1n9bLBa6+eLsfXee33K+dgZ9ZZN8Np6BdsVjRD7YnbaZ396/FX NUv4BDoGbsN4fBk6Ds7DoGC9GQmlxM98lnbCRRjCs2LvYQ/inrDRa3YTHYuf KYWzMABf6DPcgbhjsFwy2X9dfcOXomnQmbhTsLUN+C7EXYPFWTzrTtwtWKxv VhN/8t7NiK2WucFqoZo+VO74DHQCtCJuCauIV8NzSOB3qHa885Heg98S28yl Ed/wsyjHRkgK1qutqgHxNc894XehOayI7U6kEl/xWmtG5+DfaA5j6/EveBrb 3dUdm836K82x5gCG4i/5bKvmA/HnvDeFnmuj56KcM/B3fFbV00z8PfU4thnW WV94L3VmzWYxbI9tRl9COX6u53BfdceX+zt0tsfottjOmI6/5bOjnhfgD8d2 97XnNVQEO4vO3OQzrNnVHX8CRcH+O7JUB+IH3it987v3TL1STmWarWC9Ug9L NFvBfqsz/AcKV5Ky "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHvUz1UWxl9++6CL0iQx6WLSRE0zmhqlaFJRmntzv641zaw19xoKEQpJ GTGEEF1GKolSISRvboku1CRSktKUUAqVW/N82s+7vH88a+/vOfvss885z9n7 /H4tLr/ysivqVlVVTapTVVWR/GFUVa0RBurj25JLJLsKO4UewiCho9ovEF6Q /rHQXbhB2Cx0E/oL24WrK+nnE6GncKNQ0bi+kkOFPUIv4SbhM+EaYbCwT+gt 3CzUkX0fyX8JnwvXCkOEovZ+krcI7wnLhKeF+4VJwj3CWOFWYZQw0d/jhC4a +4HkNmGCcFutPmxHC0fIppEwXvpdwu22baa2psJ/pD8jDBdGCHe7n3mOUn9j 4Q7Hcad9TLbEtr76r5McJrworBMWC1M8BtsHhfu8pmmW9LfQ2BOEB6Q/LEy1 7QxLbE9Sf0thuvTHhIdsO9MS29bqbyU8Iv1x4VHbzrHE9jT1f02YJf0JYbZt 51tie7r62whzpTeUPFQYI72T5EWRtouEBUK1sEpYKTwlvOT1LzLf4ND1whbz qJu5NEC4qpJ8G2huwUl4190cg5s9zCW41tMcG2xuwSu41stcgl+9zbEh5tax 0psL9zrWeV43vIWDfXx28K6f+TXWHBplDvH9rLDc/WuEFe7fZr7Am7eFDcLz ldwzxsK9282TO30mj3vfJ5g7d3m+CbaFpxNrzT3RfWuF5+wTPt7tPvzCsZp7 MsXcgteTPcckt9XmH9xib7DHDg5O8/ga/sEtODXT3zW8Zx44+JjXBDdn2G8N L+mb6u8a2zlePxycY7vZPpN55g38WVhJDs73mAXuW1g5wFfGdI7k5QseX23b lbavtr/FHvtKJe/5CJ/fCu/nu8LLlcyPl8jfxcJS6asrmYeGWy6zzj2odgzk LvJfX/NjuX1ju9T2Tzkmxmys5D0hvo6OnfW8Xsm8QbyvCa96zFvCf72GJY6z q/tetR94Ae/GeH2rPe8bXvMIx7Wm1rrXeu2jPZ6xqzw3vrmz3NEBXst6r+dL kfmUXPo/YZPbmX+D/axz3MR8pmzflBzpeDc6ZmJ7x/Ft9XzMRY7Y7DWu9xz4 f9/t/R3Xllq29NXkma22OSjyfjIv+YI8Qg4h12y3jx2VzEHkHWrIh7bv7nZs P7L9QLftsE5u2lk5kK8+rWTO2mZf+Nllm0GWuzxXT4/p4XHo5LiLHTNnt9sx k++4Cx19H8h3e7wm5F7b7PU3ObFeJC/Ja+TJ/W7f729yJfmRvEnOrIrUh/h7 n+epG5lPyZURmTeHehxj8ENb1Mqn2OObfFr8PtjufeR8yVmNXE+pmfVd+xtE 6sPc1sDxb/NZwuFDIvWRbjvY7XCOnAuXx1kfb9nQ+mHWsf1W5Dc6bYfbZrxj G+e93+1zYR31vPZG5j/xU+PO97uqbeTdwAc5t7HfFbwfjrZ+h9vZg7Mkm8SB tqNsA5o6v0+2Tv0CzZ3TeQ+c7FpPfzPbfNk6Ps6O/Ean7RjbNPFczMv4Vs7d U+yfd8hxkbUTe+TxbgcnuGZMsz7dsoX1r1jHtl2kL/ycE9lHO3YtXW+QJ3kt M/yN/lW3Y4u/E62fG9k33fEea5/UNuoWNWem18U7h3W3cwztJU+xf2oQ7yHe ObS1dvsc99FO26n283Xbo3eI/Eb/ZuSbCXvkGcKTlbT9htvn+g7jm3vcxjZt PBZ9luetib21/Z8XOQc+4N2RPjvkWdbZm3O9J3C5rXnIuZ3j/YGDZ5sPcKe9 18v6Ongu6hJ1iBq0wfeEO8I6znMM8B3ek283+w6Qqy/0XaCdPEre557y26Kj 19jX+YI8scljsG9XlD+8zrbSb/b+tpE+yOd9hvTBPr/fwOGS9ayb9MYla1pL yb6+V6dJH2jOnSz9Ot+HfvCq5H4cIdk1sjY2kn5oybxziGT9knf+fMl7I2vX TPZZ3/+W/k+PZ+wpkv3NdfIfeZNcSlxXRcb2K8mDS+a07tKPLll3h0u/oGTt Hcp5leTQH9i3krX0HukPR74jvlMyDmLoIv27Jd8s1AbeJbxJRkpeWPI8O0t2 KrnXU4SLStbV30pvWvIdcJxkr8ic2Fz6NZG59siSe80+t5B+bWSOuxpZ8l3M frzoeJqU9ItP1tcjco31pNctWSfqSO7zHlHv+P1WUzO72A/rudT9K4SnI2v8 WsmXI2vJes4ksh6vlHw2svZ38Vj8jJb8U2R+pu0St/Pm6uQ9Q3b23rJ/naxX +xv9JskzS96VxcJfI99Zlzr+mvciktr9kuSqyDUN4Z6WvEPVwp8j35IDJE8t eUc/Yg8ia/gnkh9H1uqtku9F1qG3JN+IfEPAi/siubFX8tPIevyu8Hbkm+Jy cxfe3sB9KpknegvHl8wTvxYOL1lzb5R+esnccKUwPfLd1lPymJK1tpnk7yLf etdLtiqZX/twz0rmpCuEByPzx22SiyLfo2PYp5LvufaSD0XmBOJ9xzHvl/y5 7w4c+dw8+QXrK/nGGCX9j5FvYu7rYb6zX/DLHLtFuD/ynCslxzP2bz4/zm6Z 5Pci8w/ced78Ydxkj4U7T9Twp+QaiJ8zXOBzhJvPmJ9/8RnTvhDuRP6f0UBj fxn5fiCvHOTc8iPh9cg3Ief/oTmwQ/KnkW82uLDTfFgSuafs5/cll0e+dX9M XJFvlR8Qe+Rb6wPJn0S+Dy+T3Bj5FiUHPBCZBzZF9tGO7Rbbfyb5s8g3HrFs dzwbHDcxw7vd5h48fd9c5Qz3+Bzxsct+NkfGSpzPRa6B+J+UnB/+HSb5SuQd b1gyb5IzZ0vOivyd/Yjk2MjfDuxrKbm35IPXInPC6si9YB+mmdPwmfzawTkW Lj9qPk+V/Efk7xJ8L7V/ePp7c3Wu5LzI3y0zInM3efvv8DGy7q2L/N+N3wjc 1zcj7yw5fpjtyc0jIvPz/wEsCLkA "]], Polygon[CompressedData[" 1:eJwtlWePlkUUhl94zhh2CayuoUgRlyogi8DqAgIaCSvI8sU/oGI0wYItCioq HVxKAOUDSrFQYiOABLsEDUtRURRQUFSwoWhEo/SA1517Plzv3FPeMzNnzjlP 1dh7bxrftFQqTYCA2/kZCweKUulbeBr9DOxB/wi3oDukUqk57SL6a8Nj0oeg Hv0yfIfeDvPDNmVrN6xDrw/rLXAH+jb4Bn0QNqM/hN/Q2+Bm9KvwPXohPInu zv6X0LaDx6EL/Va0rWE1LIDDhe+wAt2H+c60g2FN+E66i/Z8Fn0p8y1pr4Kn 1NLvQ1udbS2CLwvbfAk9iPn+tMNgKXRN3rsWpkBP+h1lF2ZBf/o9aXvBi3B1 su2hMA2uoF8VPuNyrUv+7yCYAX3pd9O94X0YDXs5yxF4AT0g2fYQWBj2qXyp M9/A3Nv0f0b/CkvQr4ffqob2OahiTaXOBbfCtfSvp/2ANSPQw+A6+sPhebgy +SzXwBwYSL9f2CebYDz8wH9/gmXoHslvNRDego3QWPhMjei7YAf6K8WcYkF+ Qf+rmJItmI4+Dl+j98M/hdccVKyF12rNu+gNYVu/wD3od8JaMbQT/TEcRU+B HejtMLnw2Bd6a/gLvUAxi74bjhUeq0l+Q71db+iX/AbyfQ/4DD6HP1k7FaqT fSZfdYGW9FvAPOaa6ZywL7xWd5KvF9PfWtjntckxp1jrC3dqTv8p7LPDiuWw b2bojdFH4CR6Jvyhs8Bp9CzdEf17eE5jx3TX8NxZ+Fu+DevZWoM+pbwoXCD+ k6/Dc+dgF/rTsC915+PoE+E5/Sdx/gsgGJsrG+gm0FSxQ/+M9grbbtCbKVbD d9EdzstWntN/ylV7ZDPswzJ0s2TbGgt0kWxbe/ZOrgHK/U5weXKOKbfaQ7fk GFVstoGJ0I6xsnCNU+7Ozm+tHH4MLmPsonDOKNenZtvKedWiJ7It1STl9vT8 9spx1a7JeW/VMNWahvy2qjnvKe/Cua0YaMX8A4pZxT58hB4Xro2KgTE5p5RL iuFK1t9Hfyf6E9XYcE1WLVZNfQP9Zjg3d0Fb1j+kN0TvL5yboxgbmXNUtWdm jm3VIOX6XNoB4ZyXLybRXhz2ST390cm5IxuqJfOUF4VryitwY3It0jeiU3IN Uu2pgNfCNVm1WDVkT7hm1eQc7Jxcc2vzniPprwx/S+rCta4uuVbJJ0PRQ5Jr mc7cEf1o3qsFPAitk+8uH98vu8m+lg/bJ3+D9O0pz7ExIawVI6vyGeryHSvQ Fybn9nz6D+udk30tHz+Sz6C99c35H2vv8rw= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNV/l3TlcUfRLvvhiKEiQtElNUde4/0XbVFMRUQRKRCAk1C0VRqooQYq45 MY+lWrSqlKggiKFEDTUVNZUKqnuvs7OSH/Y6553v3nPPPeP9GiZkxKaHeJ6X UcHzQkFn+Z73HTAGuOM87zZwEPwcYBwQB4yGbCkwFXwxkAC0By5AVgzsBZ8D fA50AC4BieLPAj2BdsBsYKz23sO+9sBh8E1BmwB1gTpAbWAK5DdArwO/gg8H zQAdCBSCPw7sBn8F9DKwD/xfoLeAA+Cvgl4D9oNv7GzfUKAi+FCgP/gw0AAY RJ1Ad6AtcBKyE8CP4DsBE4DO8gV90lF3GKs7dtDd43TPMfqd68ZLR1dgEvCJ dH0BdAFicE4z4FPaD9wEkoH5WsO1RUAPIJb3ApJ01insOw38BP4o6BFgF/gC IB5oQ/9DdgbYA/4c6HngZ/AXQS8Bv4CfKztp76uQfeWbrw+DLwB2gl8LrARW AA8hiwOO+eY/+nEY+BqgleTP3fQfsM03WZjkg7RnoHJmp3y3E7IfgG8Vp0A6 IwLsAV/BWeyc9JDWEF8ZtIrWh4BWV3z30DfAdvCbgKrgsxhP0EbQ+w1zA7QJ 8LJsrCw9Y0EbQj4N/CHw+bRPOfy9Yr+X/nNWP7MUd8Z/PWTrgI3g84BcYASw lfcDNjOPSIFF4LNZY4rvJu5zZm9b0A3ASPAzgc+Unyshy+UZ4GcAoxTr/awD YAf4WqA1FcsDrGlndvOsbTpvB2XAVvDTgUygNbCdcQO2gF8DupZ2gF8Fmges Z57AN8PB+87yeGK5HP9SeV4ge1lXI6W7m289hDWTqHxm3vUCHklHKpCvOzGP 76tWUnzrLXGqgUL5jLXBPsOaS1C9MA7sO+OU36W1OM8vq2nWGOvrpmTJysU5 OoM+3yq/13eW/9O0vpd00rbefllNL5CtdyTjb+xfC+WjXdLPc5hPOcqlEvms j/Ymy6ZVwGQgzbd+NFd3Wihf018ebHsB2s+3Op+nu+7VHXlX5gRzlzm6RXdj 3mxUDjH2+2Q/73FQceQZ65UfzGHW/3Cgpc6ZIDtZY6wB5hVrOFt+i3Rmfz/d M0exH631jBNrgPnB3GDeZ/ll+ZKpPMjS+ZRNlQ2tfOsT7BfsJ8yfFPk/GvII zRHOFs6AIb7NmMGgA4D/gNXycVvZGyuMlm3LgcWKAc/8WndvI/9xX6j6GXsm Z1e4+jljmqoY1VSMMhQDxqK97jRd9+Id8yRbKr/QJxMV7646c2Y5e7Nlb6bi SLuW+Nbb0uTHLOln/8vTN3vSOp31EuRrtJ62bJA+6lgm+WLpTZMfVsj/pCvF T9a6NPl0teI+Wd/k14hPk72bdad83ZV2NkBvGalZQh3VnO2lDzjbmZOsA849 5vkM/P66MxtaMs5AOvjuoCHQdUV+yZd+5i1nIHOXtch3BGvqY6wfAPQFf0jr 2X8+cqY3XbJDspUz5ANnfjoP/O5b/2EN7VfcDmt9vGJWIFso+016jkjOPvmh MztoQzZorLNcYB1zVrM2j2kP1/fH7/Pkp7dhzyRnMTgJHPetN7amzFncBoNG BjYn04FZzmI8CjQqsPk3AqgX2IyljkLpKZTO7sq5Qt3pFHBaa5jT7MXtZONR 3b1A3/Hy01n56qy+2auLpKuHaJHkZ/Rd+o4s0vncd07yObB1vrO8vuzbnCh9 J5Fnz2ke2FuW/aM5Z6+zWl4C+pqz2r4A/CHb2Of5JmOv76Rv9vxireOai+IT dc5l8W8FNuNZw9d8m3OlM+Oq7GJfaqbedFXrkkSvi7+hb+79U/qTRK/4Ze/s Yvmeb5YWerdwNj3wbQbRNy3kH97plnT+7du84Zp7+u4tGXnOoYHs4XpLLATN UL+4oHNpQw5ks531y2Hsu+q9naWr9A3MHt1Fdj3UWf/om737tuzjuY+1PlV7 7kvfA/Fcz7qfrtqnvXe1lznNvsY+w5w94VveLoDsTfingbN5WyK7eDf2aPbn 5/zNWU3z3emp/1TTO5R8Cd89znIzFPp6OIsP14bo/flCOlnLUc7e1uHqwY0U i+rYm+LMB5wd0fIb10ap51BXqCubL1HSUxN7+4A+8W3WRWvuOMgTnOUO8yum 3PxrXG5eUiffz7Wxvi/455JVlPxdyGeCbwhMdNZf2FveA30/sDv4Wk8bnwLP FC++qfs5e1dX1zquGe+sNlgXbwQWjwbKJ85jzoYM+a7Uh572Pgbt5Ky3edgb 76z+IjVb6ecxzup8qmL7VPY8F99HtET8I+VZinzVRD6sBB1JzvKR+l9xNsfq KY6My1BntcHcCZectvP/bIT0vNB+5kw32umsv0xRzPgOSWM8A/NdIviwwOqz J/0WWC+gjf/Kzif65r2ynN2Z9810qj3lXS3lXm/QaoHVG+8RKXkv0CqB1Uwq YxXYGY2VM8yRrqDPnPVZvpvqKo86M++c9X3eg3euK/811d2Xgy5z9t+xKnQn O+sx7wTWr3P9sj1D5MMY7WXO8c3NPsb3RX3VeDvQu85mJ+ugtmIRo5qgzdGS U09H0EfO6j9CNtLnnIetnM1Erq0jPR1AHzibW4xnPcWXM53znH3of6JBREc= "]], Polygon[CompressedData[" 1:eJwtlnm0TlUYxr9093uEe0vqVkKp1bBCieZ5HlcqzYPpmktXWg3LWGSoUCKK SgkRKZkyFSFDJQrRnCiEEEKG+j093x+/tZ/323uf75x93vd5T/WStvVLy+Ry uWFQAGsilzsXXku53KfwFvpmaI9+Hn5Db4AF6F5QH90dhmotLEB/DjPQXeFe 9G5Yif4W7kbvhGXoFXA7eov2oBfDH+g/YRH6GbgT/RcsQX8l0CtgFvpp+Ab9 HXyC7q496BdgGPpN3TO6WpbLHcJ4GHwBS+Ej5rpBX/SxzCfGQ+F7+BnmMtcD fkGvDZ9FT3gcfSrrqzCWErdnrExcEL7GHJgP05h7CqaiZ8JkdBd4FH0U63OM B0E7OIW4MmOb5HvvAW8kP8Mj6JdhBPo5aIOuxPq96P36jfgk4kqMvYkfYuyZ 319Rz6mzgQ+Jn4Rr0Udm3vsANNZ9EK/Ru4UJxLdCp+R3OlF7YSK6M5SgC1i/ Dr0BxhC/B+PRHeF+9F6dI/pHaIg+oDNFr4aR6He0B91B96D3wvV2ofdAb+Kj M59NEVwFFYi3MdcSlhOfBYOTc2AK+nQYkHyPF6BfCudiA/gMXUdnmJyTndBV uV7ZcE4sgbrwSnJO3IjuCH3Q7WA0uib0S77ni9G7wrnbWDmNPhuGJOfgT+hz 4NXkHFqPPg9eT66ZS9D/hGuhCVyE3hHO7UZwGTqX+ayawqXE+8NnWQIXoreF a6UhXK28Zf1OdCvVLPGZMCg5B2eja8PA5BwYqtyAkeibknOlFIYn50w37ed6 1VVHxFcwRuZ33Rye1bPAWHQh4zVweOZ31xr6Eb8Y9op6MAB9GvNVw9esp9qE vsmecjxzg4lHoyswjoNa0D85p2agz9A7Ta6hYtY/TDwGfQAuRx+cOXebwZV6 r8Sb0S1gOPEt8Db6XRiE7hX2BtVUM3TG+o3Je1oRFxJvTz7TPsQnExfnc2JR 2OPkbdOTz3YuTE0+43l5D/i/9pOfZRJMSH6mUeEaUO6P0z2Fa0i18z7U0L2G 50Yl597Y8JxycHrYU+Qlk5LP5mOYknxGQ8I1VJQ/oyqZPVDeF/lamRbeq5o5 JrMHyvvKhL35Llie7NGzwh4i79B//B3OWeWq1gwM50RhPocmhz1DXqFn/jLs ufLamcm19rXuObnmVJuLw3Oq0WVhj5e3a82qsMfL22fLU8IeLW+ek+wFK8Nz 8gTV4g/hOdWkamFh+F2pJn4Ne7q8fF5y77lN95jcg9T7fof5yT1wXbjnqdfp N9X26vBe1fimcM9Sr1qY3KvugKXJPWtr2JPkRfoPecHG8Fp5wvhwDSj3P0ju JR3y70o95TjiLozloVzYK1sz7k72zCMy16Bqbx8UZfZMeeWO5F7xYHhOPUO5 3pR4U3LOp8w1pNpZDxUze4q8RP8hL79PZ5rs6WUze4K8QNcon7nmVGtbk71l RLjW5DGb0ecrR5J7ejnWNw+v3aKc13Pnn109Z3vY4+RtOkPVYsvws6gmW4Sv ob3qCfvCniov1T3qW+MeWJX8zbEn7Nnyav2mWr4h3LuL897QNex18gj19ifC vVQ9vlZmT9R8Ncbr4MTMvVV+qV7SOf9u1FPUi68P93L1ZPV29XD1bvX4GsQ1 M19L15Q39g97pTxSvbKBcjS5Z/4b7gHyfv2m3tsk/K7Ug8tk7hnqFWuTe3mj sFZPr0tcO7OXnBD+9ngsX+v6Bmkb9lR5qTxdXlwn81p58n/qlGXJ "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0+dXT3EcwPFrr7JHRJRCRvb2VzjHP9DxuB6jkuzIXtkryUg22SN7ZWVv ElFmIuP1O3nwOu/v5/M9594H99zoxOSxSXWCILhEFKFzA8azgp8soZql/CKF 3yyjhuX8ITWofUC2/GVlaDSn6R1KuMtirnKUhu7XhN6pa7WRHtNw3aBhulGb 63FtqZu0hW7WVnpSIzRHO+gW7ainNFJztZNu1c56WqN1u3bTHRqjZzRO8zVW d2kPPad9dbf20T3aT89rf92rCbpPB+hrfckrshhlN4bRzDLP5SCHOMAFRrib +f87XGQ/w+1m6C0GO8fTm54U2PXSszpSi/QFz9lJd7vpOodnPKWrXRTTnDPJ o4t5m96kmEHmdrSnNW1pw0Cuu7/BCYaZp+o1MpjNEx7TzF1Tpjg/4iEPWE9j +3XaRNO1vq7WurpK6+lkvcIi7nGf2xzhBwv5zgKqKOQy8znMPIZ6zhAmOX/l G5/4wmcm8pEK3vOBciZQxjve8JZSKhkX1P4j/wB/YW4A "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{318, 317, 321, 792, 783, 784, 782, 786, 785, 672, 788, 789, 787, 791, 790, 673, 794, 795, 793, 797, 796, 674, 764, 871, 748, 781, 702, 779, 701, 780, 671, 320, 319, 318}], Line[CompressedData[" 1:eJwl09VSlWEUgOF/g33mDahgt2IndhcbVGzEGAvw2CvwCrwBsRs7ZhRbTLBb 7BgDO8Z41njwzvN9a/bR/tafVVyWLk0lSXJLRQ5p5WYkyS6NyjTnCN7kSO7k cN7gUF7nMO7gEF7jYF5lLrdzEGs4gNUcyG3szyvsy8vsx63sw0vsxYvszS3s yQvM4Xn24GZ2ZxW78hy7cRO78Cw78Qw7cyM78jTb8xQ7cAPb8STb8ATbcj1b 8zhbspKtuI4teIzNeJTNuZbL+Zbf9UPlyjLLVqbq6aBZhX5rt1aYveNf/dES 9zEaq9Ear3FaqkQp3fG7CbzNQ9qjie6TVF8NdNhsryY732VDNtIH5zK+Zx7v cQrzldYyZWifeQnv86d+ab9Kzer4QFOdH7GAD3lEBzTNfboaq4k+ma3kR85g LQv5mDP5mbP5hLP4lHP4hfP4jHP5nEX8ymK+4Hy+5AJ+4yK+4kK+5mK+if9L 2fGW8Y7xtvHe8dbx/rETsQ+xI7E3sTOxR7FbsVexa/GWaqqU6nwvtapWpSpU rjVarVUqSf3/tv4BDChvEg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0ktTDlAcwOGTt0hurdXG52imFRpKJRVqUWPjEpqE900u38BOadsuphaG GbrfXAspkSKXXCIiIirlmbF45nfOf86cxZmzaV953tG4EEI9xyIhVDBMZnwI bbTTyn4ukJ4Qwha2csM+Q2t0u17SzdqgWXTRTQcH6OQgPdRyk0P0UsYtLnKF Fpo5wmVKSHF3VDdqTFO1VJsop5E6HnOYRwwxSJqz1zRTs9jGVfvr7OAOd7lN H/fI5j4P6GeAh+TwhKcM84wRchnjOaOM84KdvOI1L5ngDXm84z1vmeQDu/jE FB/5wmfy+co3pvnODAXM8pMfzPGLQv4wz28WWWA3SyzzlzhvEdhjHdF4VrCS BPaaJ+pqVrGGJIrM1+l61pLMBorNz/tD5zjLGU5TzSmqiBHlJCc4TmXk/x/8 B2ptYgI= "]], Line[CompressedData[" 1:eJwl0kkvHVAAhuEj5QcYqwtUDaU11tBWCNWNtTVNetGlmYSq6aKDoeU2kVDj xW3SJpdIWFg0EUtLP8iTdPHmOd8521MYGejsTwkhRHX7IISYNrWtPcWV0B8l da5LXemfrnWjO/WmhvBTMSX0Ji2EHn7Qut7aG/yhE7XZEfZpTe32d57pVEfq cHfM31pVq/2eSTU7t6hJK/YrLvM143zJb2zgVzbykPX8whf8zDoesJZLrOYi a7jPKi6wglFWco/POc9yzvEZd1nGWZZyhk+5wxJOs4ifWMxffMIpPuZHFnKb BZxkHieYzy3+Vb8udKlzvdMj7+N8yDHmsps5HGEWh5nNLmZyiOkcZAZHU/// g3tS8Dwb "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1577, 1357, 1421, 1576, 1697, 1614, 1696, 1615, 1698, 1663, 1833, 1664, 1681, 1680, 1578, 1682, 1834, 1683, 1841, 1666, 1837, 1692, 1836, 1835, 1825, 1665, 1616, 1699, 1700, 1695, 1694, 1577}], Line[CompressedData[" 1:eJwl0slXz1EYwOFvpV+IkthnLUMlIUoyrAsJDWQuhz+Cjb0Fp3WGzFOTJPNY hkxlbCIhkjnT02nxnM+5513c955zJ5Vsz90WFgRBLaWRQVDALmaHguADffTy nnfMooe3dPOG16TRSRev6KCdmbzgJU95zjNSaaWNRzzhMTN4wEPu0cJ9UrjD XW7TTBPJ3OQW17jBdZK4wlUucplLTKeRC5zjPA1M4yz11FBHLVOpoppTnOE0 UzjCUSo5zCESOcBBKtjPPiZTzp6hHaK8h2T2OifocT3BMXI4yY6h+812ai67 mcMnlvKRZfSTzgDL+UweX5jLN1bwlXy+M4+frOQHq/hFBr9ZzSAF/CGTfxTy lyICu83XcC3WMF2jEZqlkbpWR2iJhnSBjtR1GqXrdZRma7Ru0NG6UcfoQo3R TTpWN2usLtI43aLjtFTH62KdoGUar1t1oi4JDf/v/2PGaTU= "]], Line[{1611, 1393, 1397, 1398, 1399, 1400, 1547, 1662, 1823, 1661, 1821, 1660, 1822, 1678, 1820, 1658, 1818, 1657, 1819, 1677, 1817, 1653, 1815, 1652, 1816, 1675, 1690, 1648, 1814, 1647, 1693, 1673, 1685, 1646, 1670, 1645, 1828, 1827, 1608, 1826, 1669, 1679, 1672, 1839, 1671, 1686, 1687, 1650, 1831, 1649, 1612, 1609, 1829, 1674, 1651, 1655, 1832, 1654, 1613, 1610, 1830, 1676, 1656, 1659, 1611}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c8Vv/7xymEouxKURFJikRG7pc+EQ2USElki4woJTsjouy99yhZmSFC ITNb9rqt2y0jpeJ3/77vP855XI/rer8f1+Occ73O83XYwFrdeBsVFZUS5fL/ d7/wyc/X6eexT+6tkE7AT7CF3Cy4qTUP/Q9ba10ra+Ccya6MrpjHc7cq9cCz azDJJfObHlmApXoPUc9rFfqaXJWPnRagy76UMUNegdSWu+9kzwL+SBVk595b gbm+x+13YiQEb/a/29e7jKkdZc9a/En46SqgH6u+jNGH7/JkZ0hw8prmqPj2 A1pqfceXLyzizAPFDgatHzj8frz0mssiGCpLux0Zf2A2Tcr4S+ki0lVi7t79 uITtSl4MGiuLWJNsMIh8vISZ/hv6qyJkTKnmSe0VWYJv3TuGdDMyhO6/7wn+ Ssbf/QdCabzJOD4h7XfQiwxrOmsXkxQynKv3GYqDjDv9DbZfq8k4RN19qP33 IsTVnPeLD5PBFlBbRH6/iJkd7Gc3Z8hIYaCfa4hZxKz1WELjChm/4hK2Cp4v oqlb9VrYJhk0D93qc+4vQixhW+blLTI4/Qd3MZotgup/awkm/1uLWP+u9Fab Es8xy09+MlpEKdf7W0WU+FqD7CNew0WMujrJH6BbQjKpb/z45UWo3+6/6LFz CZFkzuiLYouoJFrcn9uzBD9vd3PbvYuYcDHd0uNbQsKlfP29dSSYKDhrtogt IW9hyzX7OQmnZ9V+ycgvoWBT9176eRJ6WNqKM1WXkOVz+ys9NQn/na/R5by7 hMKeiqTW6gVw7hqMWXJYwqUAbZen5xcg0H2cpiF8CYd7+tP8a+dxmUe5J7pw CS1Exl1rF+fBKhsgY9q+BP63u5tiv85Bx87mvDBpCVFrg1w21+fgyn9d4T7/ D5z/XhCqfn8Wm/uPcD288wM3QzxHmjxncKSTJ0Is+Afy7O7xmacQQe7lJ0c0 UOp5nCVa6qaRp8hnHrD5A3aVUZ9jZqaQwF1znvrMMujPMg6/YJ5CTVHCkavu y3jS7P+0rGMCvJ6DysTmZbB5RVVLRY6jubajyYJzBScX5h556I/hwLLNdsO7 K7BWoCtSEhmFbMjxAwpJKxhk5z7e/nMI8+N3VR6OrWAg5jHL9sjvEJh8O3Xm 4Crsn7+6NU3oR8/ui1wkvVXEzN7b1aLXA4sixTap16tI+TPXqMvbBRtZs7/i Rauoi5+SlJnvQNLM55KlllVsf53iTSfbjnrX/vXu0VVobbOaihZpAZ3k/QB5 0ioy75MOUG9rQjubDpXf8iqS1vtN0359xo/9NK7sS6uoOlIUpcBVh3uD/bmX p1ZxTZVI/86wBtNyA6SijlUo6qpWNH6uxMazV2EnP6ziDsNm5+md5Vj23lYc G7+Ki3eoRwTjisE7VOi702kVzfmKp066FkIub+1q6o1VzO0/ZShUkAevQIng d0cp/fc2Ltubv8Xnk8s7Xy+vYP+VpubwnZmY/nabXFm+glAH28fGSAV9kLlz k8sK3nySWOb6kwgelvG9xMsriLZmqSeqx8GnJPfyCvsKnmoeaNqjFIV9kjIT 54eW4XHdTTOqNgyaDktiR1KXcU7IgCanLBiH1hMfD99fBrflvfJ93IE4QUfT W35yGZclkmxPFvnhuqLCwOryDxC4TGlne1/gDnUrS3LmDxS9yMq/0uWB03Xf yrbr/sDS5aYOVU839DjvkjFi+4FtbV2X24IcYf37wgZV4xLSV1p6hnc/QYPm J+pdrpR5UhO4KKJlB7Gs+YgciSWcOzXEm3jBBvsLCyJ3DpDhvWvzPpW1BZxo jGMUz5Ch8cBFNTjeBDrswSWTgYtYOrQ3QazcAN0ER0H2JRIeROnk0fHrwcsi PmD5Ogl8UVH2hlTaYA/3LgotXoB09/7JpBZNPNGIzdzBs4DTx1Nv6+uoI50j +Ym6zzymOW5UHWBWAzP/0OErTXMwHJvO5eW/BIWPbvVMLHM4N051cdBFAVFB LJ4BOrPYoaD1p+CbPFQ8vZSq385AEIVKfi2y+JXjou5PPYPSkSN3hA+dhbyZ sPGQNhG6tPznx++IY4//6aCY0mlonf11r1BVFHTL/7Jafk8h642MK1/xcfy1 5ek4cX4Ky/vV/qixCKA2gWP05etJSPX1Hk82OAK1YJqKsrEJuPOVL1WO80DD iu6Dn8wE4tm+m28d3Y/TB5xnOylzyGpLI1yryomfrB/Omvwdw6B2dj3fCTbM KAilSsiOwSGyWaCVuBvzm3y6+5+PovvZSIh5PyPY8mMeuSSNYMN529yRXjpY rRzWSVUZxpbY1/I/SdvBLPQ9lp5+CKKpTyVu7qTGSqjzS7b278heGuvLGP1H mJtKcBVPG4BRKl+tquUGQcXcTKKf1Aef3VL2QVI/CQoN4de+qPfimOa58XLm FULP8ZzZE9+6IeqhbYj0JYLSk7rQm+Zd8D39iXtnFImgmfM16e2+TtyVL6pP r5gjJAqaWOUPdyBZ07NR0WuGwPxYP37LvB02R+VMjM2nCWb3C59TCbfChmpf gy5pkqD2ku2Ma8lXkH24LtybnyC8PUgb99u+Ea88RGNHrk4QXkffSbhi/AWk /24wH902QShQe8Gf4VKPqgWnblrqCUIL6Vhu3sIn5HtZU+s6TxDa6OxETbOq MdBzMGiX3yThhKpHSP3NSghe0/NZOTlNsH/6zKG4qwwVl5eXLz2dISQfv+y8 s6oYb29euB7mNk/I9KnxING+x9m2V8rJD8iEmuJKS+akfOxTkojgO7tMaLvh lCS/lYMg0WGPxns/Cc4urhEPvLLg1e+mabrxh8B7S0AqqTgNy7yWf9KqqWH3 PVHptkMylv4qy86004Eb0V6V1gl4J+8pp5HKhHoi/3vbj9Eo6G5JL7Jiw1zN YXPjT+HYWomVzMvZB30Hk1zDkmCEZg6ujQsewd7qQ4baja9x7ufPcK0xIfx4 PruL6YYvEkdNJc8EncaHY5mSbD2e2HEi5MX2RhnMfmsulRJwB5Vq4+020wvw UUxk0SY44SDLiRkGqauo+xfHLHfxCegvRS/mhGjgUGMawzFxOwR/XlsfZtPF Wk545hGSDXQMg7iuaBpCRk0sI27YEvTE50P+w2aI9KfT0jAwB23pu92tVDbg SPfh8LxpivjNJ0Vq0Y9g2EwhnXdG2PNl9VLUi2d426fNNnjXACMub6wH2N3h pJfWVX7nHh6/kImX2/SCXr2Os4/CXTC/b+PulPeHHc9rIfIVbfCdM1nn4gvG xQv6RhvVWoisEdXnVIiAmtHhf+8jNXFBerh9f1sc7o3QuZ/l1sDzzJuhQqeT kdknUjjeqY6X7DuixE6l40T+/OHhquuomWVmcqJ6AyYBm65Xm9eg7ffq8fnc XDCfiR87p3MNn4RvPTofUIDK08LaA2/VUNyzFpVTWIRznvbuQb2qGAxx28ao Xoaru2enzkmqokj9dt/7J5UQ+G9QsOqzCmZ9A8xG99aAZuSHoOQLFdSpOf46 8rkWUseTdantVXAxUWu1tuEzOsyGeYuCVPB320yzI38TbvSL+6k1qKB3wG5K 81ALZCfFZA9wq+IQPb/2sHA7GBfO78/0VUVLyHBI5GQHdi4y/QhnU4ONkmwU sbQT7vzSBimlalg/uvE+Jr0bz8jm9mrnriG1IudGfXYv8jMVN0uzroFa9qVV ZU0//PZf/feK/zpcr8xbSBO/Y2zoYV7/2+t4SaMuac45jKCsramC/9Tx1FjH k/XoKM6sctKdm1ZHtEleki9hDL2D27lTIm4goZNqYFljHAfvUg0c1tJAYPrT lFrjCfS9u5zzj18TzOSQsDSrSYR2+VW/oL4Jnnc23r6WU2h+GLbnIOkm1OW6 vYruTUP65xNXgRktnNgpzd9ykQilwjHS3pVbYD9mt6eLZwb+m4naj5m1IX53 Z6zwzAx6dBkZGmXuYFc0DYd/8ixMnefe5TzVQRSXCecflTlIzodkNzbcBc+e 578/zs2hwXBvTaefHjaWz85qx87DvOsfmVByD/1y3XerpBbgZxPBxeSjjyuO 04q+WQvY0S2yrmdkAAN2g+dgJqFzymy6/Koh6LYvbPaakhBmEx2Ydd4Iw6F/ D1wqIUFv65hc9QVj/OR1P+7xjwTaW4M8sTdMkKksKPpAdhEkfYHsiYemaHVx Yxl6uAh7n2M/LiaYYdIwpTUhaRHMLMFKT6+Zo/b029/TfRTuP9lXHXboARyy 0tkn6cjQ8lxizGOxwiPpXH1qCuerPs703GK1weE9ETRPr5LBKyvIs3zqIZQl Tl3XMCHDOMg25+c9W0RYHPN/5kjGCbPoQIsMO/CEOJa+8Sejhnn9eAPNY8yE vBF/GU1G6v1bAum59ojnoz21lE5Gh94rozinp/hvkqpfN4+Mdas7n+5YPcP0 3+pnd0oovmF73nT9CyeUrp50vV5BRkKCnMWfry44lc1IF/GRjPR01bciCW4Q SNQvsakhI/TgqLPCD3fc2p48z/6JjHzG1UGmGA9MyVS/eEHJL8tMLig/8ILx LSaPesr+YNva+DAzCteQrvuvUM5nlXobPxPii/8eicsLl5Hx82dPe/CyH+Y+ /7nm/J4SHwu1ueT7GkKWd0VX3pHhTtC0ingXCOuCqzcCM8kwu6TGvCgdDKJz veCNJDImlJ6FFc2G4IXkeJNEFOX5iJ2jP18TBs+ydP+TgWTA5kq5klAkjpR0 90t6klF4xe3zju5oeAkGv/piT8bpLovivq9xEApbbq0yJWOtpaBl/mUiyKvJ 5as3Ke+nPob3391kfGROlZNVIGPHoRMTLEapuLu2r/HuKTIqDCq3lZWl41j9 RU4xLjLY47/s/qmeBRq7S0+O/12E3evGf5Jn32LyWwHX2tAi2D4PvnlrlQtx FXorsYpFhMhru4u45yPT/ehfu/BFCKs+T2B3KYTiesL3Cw8WYcRRRJMjWwye UTXJPIpfei5gnyZ/u4wy36MR7oskjJmk79ozUQH7PE8ZyyQSsn/qjqjaVcOo euzwqjIJ6wVl7gN/aiD7nporkoaEgGEzg/MZtfBwKG4yLFsAvpgqn31aj+u1 96uTTBagrh2R7v/wCyyuB9j57FzA89sKDsfCG2G1WUYrlUGZN/9/wlszXyEz YBRaIjWPm4nvcmgtWyHOUSu9XDWH1pDa8oDgdnT1N9QWSs3haFL/nvoPHSgZ SkturJ1FoDttGuP6N1ROxxfcVJxFmXl/95xCF1ZNus1fVsygf8Ejsz2tG+zy EhzPj83AwGBU4+++XpRszpcr+RChPiP9lOd2H57/VJFT/DONC0+F3VjS+lFq dU34i9E0dmnfcfD9NwAHyVTjY3VTkB2qEKU1GMStPMaXH/ZOYavqm2JNxxAm j7gqNetPosZKVSjzygjs3LJyk+InoFSjOxNwfhSzjSHn366P4+YCK13iyCg6 o/bmTCmNY2cQg7qh6xjEf7KrrbweQ52HUD7roXHMHKzL8mgexco5w29l1ePY To6l1aAahdaviahwTKCW8KOC/t0wop56m1NXToDWdmd6u+oQFHgVLYSlJhH3 LEiJdeI7uN5HRvHnTeIe4zM1JosB8KrW6PXyTcGYwTlBltiHCCmWme3BU4jO XxDTv0XhvAi6x7IUvmVakduI/9iNhK6404Na0+CPdE3z4enC2l0rZea30/D8 pOZx7sk3HCf/jlCenMaBy/HabKIdEAjieyrETkS6z7OrTe1tEI9V7kmQISLE 8GLx7wstcPfgdlq6TsRYa7at57mvEBMMYZ3UJ+Kyz8BamWwjpqlKjIj3KfU3 /tGcUPiCfCrd3ZaU2NrXMjzkVj2MYk4HLOsRISe5Q+aTYy345NQl6FSIsBvx 0XqdV4PYR1w1KqIUfp9ZF3i88hGNXpdkXzEQQdVyJaygsAIaBFPHnL5p/Nzc Q62TXobtsr8jauKmEbm7+TdPWzEsufX9zEym0bTvkWBBxnvcFSj6VntsGnJB rstT6QUIUCISD09Noc7CpXVbSx5EDspUT8RMYVJuQcNL/B00p/O1nqlMoW+D lzVv7xvYJmW7Gm5MQm3Pa5H1i5k4Xe0gKZAyCe1O6YB/5WnwHmdqUVWehL3g 85e1Nik4fTvtkMXcBK7YLnh1GyYhZzfrz+jHEwih0495ZhaPbYb723ZvUvzC GOOD2LhoVEY+/8AYPY62UIZfKaMRELnRM3ZaYhwRrV0Z1I/CkKbsU0duG8N2 XWNOIbUQhOT6Xok3H4OcNDHvmHkQPghWfwmkHUOVy0tha8cAHN12SWV30ij6 KcNm5+0P6U3NM3vERlHO3NlCiPXFwVsGeiWeI/DjFxe9wvoC4e1+jPeyh8Eq aKf88rsnYphqd7l1DsGGxyAkfeE5VoMu/DOjGsIQt7hCl6w7rjcVstwRG4S1 ubfERXdXVHr89H9h8h0/DXUi0ohO+PRp7y9aiQFk5CneJzg64NgdrSQN5n7c kqm7OpFlD+aSL0LRy7040nbK3E/zEchTbZ19Yz2w/4/R2s/EFuHqhzLXv3dj +7Sh4ukmG+Qwuwc3jnZh9lTdsNGEFe5Ob59gXerEkdaa5qDkB8ij30PvPPYN 401SZ4IemoPXu+zf69EODFgbXVbNNoPIxc/BNQvtCKKquXpYxhT9/rIqvrTt GF8XFA5hNUFW8fXCAo1WJB7kHjY8RnH8Cu2XrhQ1Q+tCWky7rREU1ZgKGoS/ wkPdtZ9+3hBZdxa/HSxpRJi700K9nyH0t/aaMNM2wC0o2n2bsiEYxbNjva0/ w1QrKSFB0hDyysdSqlfrkPjux4ehG4YQdWZfYwqpxTZCpL9LnCFItfudepU/ QZbG3MmL1QjHHfQJcew1qP0jN7Kr0Ai8aTv852c/wm9kRfW4mzF28Ivted5V gciRAIdaRlP4RjSdYmAqx7GGD1fP0d9H6W7GVib/ErS7t+vHvbBA49GOs+2X izC0zMU9HWuF1UvGMRIXClGRbJ/RK/oQMwFD3OXW+Zi2G6Sid7SDYf6o0Zfw XOh8TheelLfHjsttVf5X3kDZsNW8x90Rsy8F80JTM/CR413+d8r3sN3yErOD XypSPl/zIfd64eOOQ8YipCQIlumecVrxw6Hj/bf32SUga+PEqR7aYJifKDFe qI/Bo2OSO3MMInA15Ojy4odIsK4ZR390jMfyIYFbx4bCwcuR63zxdTK8u9a2 4hTDYKN55hJVXDr83n5ryBIJReWegktCXtkIPLDYQG0YghujJiOPlN+Bk43T o6wgGD2rR3+0KedjV9zc1QTuYKzaujISSguxLnGIfSY/CKWXGRbEVougzapJ 16YVhMTGZ21vHpTCmfFNRc+uIHiGe992F/iA0U/j3f7tgWidfljsKVAF1Vwn Nd/kQHDJLe55X1qNTKG7a5bPA5Eo/Sm/xesTZHIyN1qtAlHiMlBbm1uHnZFt EfwWlPqV0REe5i9wYEy8zvUkEOEi53Z7JjfidRx/wp3gQPx93ETba9mMYp1z cfkVgRi+l/R8t00b5lqj+ibXAtFEmzBMr9GBZTPHk81yQbgqjLzPDJ3oeN9V cSk0COsnt9236+3C0Neekcu/g8A+XvpfRHkPdPcGSTU8CMZ/mw7F7Hl9+Maa VVa/GIzofyGSku8H4G3TUKLuGoIj0uq+9Z8GcZ9l/o8vTygyzy3NCvcOg/6Y aU9QcyjUpFz8r9qPQseW/XSsbxhsV4laXJT/3uMjVhnTmuHYvfhDPtxjHNwc xIBysQjs6xHSfuU+AT7e2X2WByOxKXEK6/aTSHh/WFdvXxRym1wj2AymoHGt 037zaDSOE6Q2bc5Pw4RqJqr2Qgw0/bhZltmIYLR8JnnGLhYKQyWjLX1EnL3o yDn+Pg6PN6nu+AfM4MB9Gi8LhgScElPz2To7i56B2YpKqUT8dX79WubbLEQe 8rMq8ichJjl/51+nOWg2Xnb7zpsMc7dfnT5s83it+fH+pRMp8G/YpbArYh4f QoJIJpdTIfMmACP0C2BXZb5xwDENNx4RWh6aLyBRIsDN4GM6Nl4s8EtXLiDy 9y+nC3szkReuQ5+8jYTaVc6NAe8sSLcxcOw4R4KklPxOBuU3OGKZ4lduQ8IJ 4v6NK0I5qDxpVfArkgRpWf+HOSdy0San9PtiMQnXUu1lRbLzcDlGa+96IwkR q5EG6h35OOErpivUTUJp2TjHNqZCZIWUybb3kZB13G7NT/c9AnuYLd5T8vld Mts1vhSBi/kdwaGZBP5SjqHbFD0wDT4gFV1OwsnYmtKEx2XoCeqpeEvhw5v3 mYZbvD4gM0iegfc5CRtqUSHFHyvBkSSYKqlDwjHT+bPCbNXgUdau5hAlYcKc iclctwb7ZPMjP/5bwKXo1XTUfsK3Kw6D3PULUBFnsTO9UIeGb0FXfnstgIuj +UpzVT2M5ya9BxUXIKLVmqyh8QUvnCP1SrfmcVjIUt6ZthG/EzN7zhTOIz/Z 9ntDZxNCiTHTc3rziNx2cG9FdTOYTb+aG9HOI6tr42pfSyvsRK0buVPm8CZy RfeySzv69hwyc6TwZXgqF7XzVgcSXvlWUFH8Y8CRvNA/8Z3gstcX4/wzg787 z4n23u3GNbPHNH/Oz0DrZnV72ble9Nv/51HyiIhn1y1yimT78SXW13d/0DSq P174dW52ADpeTgfEmqZA4O+LqMgaBO1pITb55UmwcZ8MS3UchuXQdo3JHZPY HApTUzo5iiGP7xN5DBN48lC/hXdtFB40r3JfnRjH6x/yBOeqMRTYJsu2yo/h pN6/jXKfcRilZFv0KY6CKY34pPz6BNhtVB872w/jazp7xtLiBE73OlW3lwyi tP4k7caLScwTbJuMpwbgSWALat1P6WuAbuP3Vh/caY80bKVOgVMk4ugv+l4Q jmduZPFN46tSlknBtm5EmBFU/nObxsV/PjEE9U7UZewI/dI+DX/pu+IvYjsQ 9Ev7ywI9Ec1935wfn2yHt7f572gJIt6oxP9bet6CwyJxnsqaRIo+WHTU5jVB gJDBZ2xCxA/vZlLXAsUn2PwRtjcjoniqq/HQ+3ooGHFY1OkSwa/bwCP9uhbK t5sNEpWJiBHQeGvhWoPok0G0HkeJcGwoFWri+ojOBTtN7rVpcEm/HiJbfYDn si/7nZJpZDqKXvvIWIpLTbW8vx2nEaupE/zVowj9Q8urmlLTYDlpw3/9ZCFc hmi+DixMgZnzbxb1znx0VzhZ7YmegnWWZPZ5Ct+RvoovR8tP4RH9rsWDBdn4 E3e1UnxsEh5+w421rzNQF/o1NtlpEhwPOOhY6lLxieOzSzHbJFgEl2tmryQj eCTXiZAxgZcZii8CeRNBcyiiarvUBHp+KX9dsY6FQz9DYN3ncfSwCRUdPxCF lM3MFlGNcSwWGFXtlgzH8dxnacTRMdgYpAzk5IVgovDJxC+lMdQmhfYeGaDo Pg3Hr4HcUdjNCvnJb/ljr6Rlre2+UdyQOmNhz+ULVVZ1+gXGETxaYEyp7POC aDB97/jMEOptsy/85vfA+7CY2riWQTx2a+DUnHCDv7sosbjsOx4Fb9dY33RG +WCxXFTOAAhxgot5Hc+QwJDa7JvVj3dbnp+G+J7CM435Zm5OH7wjsw8EjzxG 7J3ExvQLvXCWSPY33GeHNz+y7NgWujF07kKNxpwNhWeT/8Wkd4EzKezpnJ4V XDa4xz/YdsLgx3+6jkkWOCum9Oeb2jeKvkpvXLK7jzG5dl9RuQ54s3xc+VJq il6j+t/7ZdrhNnR4n6WOCe75M7zN9mtFG2FKfkHFGCcUCo9d/NiMlsF2S6Kb EQ67MJqGMX1FcJ51+yaFx3ymUkk0Mo1YP0X6usPZEEZjGzrdXl/QVCiXyqdk CAsW8+Bd5HpUPNheTFQwhIt3dGajXR183Q39um0NERizM1CRtRZiVlnFm62G OBBvtvWtoQYesunbP98yApNc8vpQWDVO51kkFe0xxm5Bx6GRPVWo6A02qzI2 wWh0NfPY+Q+Qmv/i/f6wGYJtkysrSkqhUS8gcO+aORw/vNNmfUDx661ixQXU lmg9YyrMdfs9xgs1xbmP2lA4z07xpUMBal1vpvUftsVVhkjerIY8ZBwNH6R9 8QgP/mXHcbDnwOph3X8XuRywnfNfKSMhC3q87gz9+1zRtO1VTO2vNFRs/xJy xd0Dv8QznNjFUhCjNV/xscgHkoevMWX0JOLfsYPHOQID8FTCp+5sSRxM5z1F aa+E4izzThEbs2g8GGMfWpOJxlWuo7zFopFoVJjcbD+cCKtdXItrKuFgtqtY OD6ago+1jXc5KfED6qI5hfEUmEsqjkleDcdtneIjepMpEPbyeap1JRwuBp9D HaZT0NwezPf0cjioV+bkQ2coeRnD8chL4fAgCQnmzqUgR/7ViwGlcIQGzphO LaYg6PRnxwMXwyHOIh90YCUFJ/bu+KirEI4ye70UjfUUUAVYa9CJh0PMXsij 5HAqZuRo3zQfDsdX9voD9ldT8UhqOSN/D2U/K5dQ0JNU6BU9EC3aCsOwxG8D hpRUbJaeke8yCUOdTvbe6cvpuMh6V2izNxQPTNv7j3Jkwirj1/0p9VAQj95/ qEmTjQ5/kXr53hAYkD/38XO/ReQyH89XoxDUjh/8a6LzDrEPr+543hyMl2Ge VWVU+chPvxNw724wOM44qvFkFkDEK7DSeCMI2TFWy5P27xFUU/ZLIiUIbVXl r2htiqH86o+PmhGFP5W5DKpPlSLVzNdv6UQQBCt4XmftLgejnDL/0t9ArJf6 ZDxkqcDr20xsx7oCIdzUbVwnWYUDy1ORjwoCsbMvNjFJvhovR4xk6cMCUaw0 eXgrvgb3v3aqcbsFYvVWhK8PZy3aHjxS87YLxK+hldLjmXVQeWLGctQ6EOd0 pHoKND5jviM/t8c2EPzOLPqfDzTA4D6frbNLIP4YmJ39TtWEtUJi5dvYQKhx HhQTnWzGyQvpcqFNgZC415KsR9WOP7LpN9Ip/eqt31Mw1e9AVMGHpXvSQZAN 4rnD1P0NyyZ8t/PdgkD+VfhFWrsLf14+LH35LQgDbwX3OZK70XLi9vUTk0FY DXlnpvZfD4ISop9K/wzCUlC8ckFYD+ZqK4QK6INxwvrl84TZHuizfzAIp/B9 o+2vj6yEXnRGb/FNnwwGPynRd0dIL84HS6g03AwG31ORi4aEPvxydu6/5RaM qrHm1/7zfYh8zskf+SYYYc4epnei+9HU8TjXuy8YV35zHkq/PAC27dpHj+4I wRN94tPzfwfwUnf85qOzISAz0TdR5X7Hmu3BKmGKjpOGu2Mu3BpCV4ubk8Hp UExnRThY0Ywg3zX7tUhVKEz13C653hoF9W6zhvQbYXjYYaNbLDKGj7/rBhaW w/CyuflUPNU4Zl5kafPFhkOh9fAKTfs4rLx0v9iqRWC/z/r61+gJWKR0RE+c i8Sb27pX2QMmMSfRyhMvE4Vnps8MZ59OIYSuJXDPpWi0333QOn5zGj1/GJSL zGJgdu/8qQVBIsR3z3eyRsfigFKapOI8EUS1uoMVQ3H4e9a10DlxBuWrWQHX ziSA7oJKsJXSLCpEhQ8R1BIxIXCgUnR0FsUaAvKZ1klgrfNL/p01h3hBboXh jGQUHd78XnZzHrMLc6c9K1OwY96hxqhjHmfeXEm4NZUKb/dk6l2yCzA4kbF4 9VA6ivdE4mjYAqq6jRwMrTMwfy1lgm9sAd0DmXvyOjNxJuxVuOUhEmo4I17f Us1GJ7eatLoGCW+v37YOG32DxhHpGToXElwOtdkU+OUgmu+BWUo8CTvX3iUl U+VhyS+NVbeKhIVkwzPsN/PxsFD/1VI7CZyxzCqyDQXg3b0zgI/CzxsnfGRU KHpc+EXH2oTCz20Dh8YzdxajZ6Ioo5/C35Z20zGlfCXQNK01WKWc9+pGRILz pVIKD1i0Xs0n4f8AqfDzZA== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c8F973x81IfYSMtIiQFYlU9H7ZREVEScnehaxEZFVmdpnZEUmyUpQ9 khFl7/E2328pW/Xz+94/7n08H/fec+/jnPO493WOmNhrm1NRUFBwbXf/P7Yk igxf1lvGqzBBgRtPV/DuY4Bi4M1lWKmMeM67roD6ZMba+RfL6Hv5pSooeRlF er/Oq/QsI7B6+YDd3G9oHyaSrjCvoIrppfVu/AZzS3Cug/oKkky8dRqf/0Lo z8K2KL8VIHG54r+1JSQzDYuWfVyBdWxytP6NJZhoX2DqXl7BB32uEam6n+i+ 21XKxbmKy30haePWP/FekJhrLLuKmU6DwT1MP/FabfpP/K1V5B7X6sooXQTb hHpmk+8qHIcn2cOMFhGtyuQ9l7kK2auHTMsYFtFITzvvWrq9/vQVx4efyVgq ltT427iKjH87T/HakSGtRtT06VuFCWfeyJV9ZIwZv8n7N7cKQVPYMdeREDTu 3W+/tAq+5rsTT7JIsGqy1h9e2+YXh1xZnpCgLanGc+nfKsZOiC++tiaBRtea +eU296e/PspgRQLF/9oaLP7XSNg477NwbZt3GD2trjYjISnbre/tNtPKLwhz mZLQ4HIthptuDR8X/yi3KJFQKZkTEfbfGgKeco0F8ZNQn8DzZXPvGhR/TLRf pydhlCF1sVRwDXcZLqtlpi3AvSWCv/zsGjjPtxx30lnACyqToyUaa9CY51Qp pFkAuX4rMvfGGrQPXbS+VTKPEOIJzvjba/A6ExHiZjWPOgeNLaOna4iTSt87 +HUOZi2q3+neruGoU5dsi+Qc6qku+gV/W8M/r+d1YkmzkHI8+HH61xr0xiPy fu2YBX1wEv1BtnVoEOXFae/O4ND15D/2OuvI7rpp62cwDVMZymnaiHWc2KFZ QXWeCFnb/1Q/f11HhihpjO/sFL6czvTw2rmBe+6RFUnHJ1G7MmZxUGkDe6sW zwjyTyC0/PU/xwcbiImdehLDPQ627kdGqoMbmHQltYYaj2JR2GK8kW8T5qLP fgpTj0Czs2rojM0mnLSMqed1BvFVuGDHWM4mGgL3m+fk9UGZU8N5fnwTu8Vc QMPSA6VOpzNmHFsQO3RNTfDRdxC0n+WcUNyCHgMnM+vuTljxFh85YbQFX4dW vyf7O2Be6nbP6e4Woh2eX2U51wY7U/po9Ydb0NeLHbS50QKZ3I1iwSdb2EOA /utdzZgr5PD0Ctme/xFi9a+1ASapYarMoVv4e4rGQy27Dmw7b5LzArdQqyS9 6RxXg8MleuncvltgSzBqscyoAqvNnsMKrls4fMDYqiPmE7hprVjXTbegGpNv 0FbzAUL7W5v4LmyByW23ir1sGYysN32OSW7hE49CYWRgMbpu1d6+uW/b/oJH r//ud9jkOyXSs7aJXZd6VfXqCjCBeO2y79v+EfreUWvxGgy2PcRjbzbxirTB n/YqB/tPM0rfCtiEZCWjrbJ2Fj6Zl7DGXduE4zNf9+Br6eh7/5ePxLOJkY1Z oplVCv6G9+RIz27gIWNR/2xFAs4ym1wezt/A9yO/UlnNnoHpSr/8RccNmFu3 +KblR4EjzWRx4sQGHEmihc6B4TBXPdJJ9XMdgj1c0btrgqHKKz67kb+Oddo6 7iz1x6A1T/ES01yHt5yrsjCXL37bqC9J0K6D1ISEjYUHOF13Zm60fA265w1L 6z7eQ45zUZ+Lwxq6LNPsje45g6BJd/Iw/xqyp3l+5K04QH+M8gvlwCpGL9Ql 3BK0Q+howzG5yFV8V8nYYLS1xJp36KsltVWQVL32/fI1RaDVsdZjkysY+fwz ntPdEKtPP8U99l2BDkGS2X7iKlZ1NoOFj6ygKJNG2K9NG88dZT2OVS1j9mip RE7lRYSuU30INllGHLW3wNFkVag94a24SbsMH+1DOxS/K+Draf9L6Tm/odRs fX9UkIBLUfYtjhd+I0euXvY2+2ns5Papbl38BQFNNnVz7ZMgTDQGlMX+guOr uNQSHjF4y9CIiBB+ofdbsvpZCUHo3aMb4yMuIVPOvNrg/lGQbgwIp0YsQUbJ vaWzhBvEu36sceeWoCdU6cFhcQANt6QGLg/8BHlny+uDjWxI0ZyW3P3gJ9zU GzdobZhhfoCxtpLrJ5rm3Nk//9uFkD2VDEa1izitWOjhlboDhWWvPadsFjGz 5NKZbEqFKbsbEWp7F/FHu63blOEvQUcy7o28EBkvkPFeyXOFoFCmvp4jRYL6 2vALOuqfhIjM2B9hagtQLVeRGqSaJXTwU3qVmMxj5tCw5Hv2CYJDoXnKtN8c Hvi0nhzUHSb8bd3jTMqdxV6N/fnGeT2E2sCI8BdpMwixUHicffcbIdeR1JWc Pg0Wa777vetfCEr+M3se5RMxZaFFTPStI3SJtZKWqqdw77akKkfNZwJCLww/ GpnEjd8+bWYu5YT/vjD/p1E+AbHYimOPgt4RiHEqZ/3Tx3Ej/vLCss9rwoOo xWSThDGkmJN/yVRkEYSv5OocSR0FefW79IHBVAIX+2I1bdEIfHcLE3JiEwkB aXxlPYND4ND/TndHLYYQY644xRowgD3dkreGbocTDgYX/7lQ1YcqdqmCHaeC CaufzYrcOXu33913e8nUjwnDLBxCI8Hd+JwllGXT4UfQsHv6e4T9B94Q1wkl Bj4EvsfU11fKumD022U/7bQX4Y/daEWhQyccCA7KIHkQ1u2D23sPdGC3XitW 690Ini9+rgseagXBtMkj+JwLwW3wUGLSw2YYO0brdnU7EegiNz2WtBtQK5Ng GnbeiWDwTkVv4FEt3B7ECM2YOxEGSG0KL5mqceuWONFivzOh1OiozH8tn3Cz oc1y1NSF0DDrHtBn/wF01h8rUzPdCPcj6zNL8kohc/GD/L3e+4S+QcHcjNtF sJNf5haS8CaoNKXaP0l5i7OWq3+TPH0J9Kqj//nZ5mN/mfgAj/ojQvh+X55s vEKHPXzcVIIJ95r7d8tkZUGxS8twJzGcMBX59I/6aBr+9lJKVt2IJVheZeob dX8BRU0VugqKZMKZXUkCU7Lx8L7Kf5XyZgbh0mwhO9twDHRiGZ45zuQSasiE cxoykVDdZ6vwR+0dIaZZQo3fPAzXuAWHPbvKCabOUj9l9QIxcfz6wLfaakKs tZdt1+EAmLF1xDCYNBOMmahmB9V9cDltaJCg2Emw6JGPYrrsCdnzDymKZAcI ImkX6hXF3KDitLnJVjNB8Iw4T5e8eRf2/E8TLRNJhKvPsm7Ns9nDmVrqj0DS CsHGPE1i3skaMs4Cesc/UmCgZkrqVrcZRMZ0zkx9pceV8uE3U0zGGPU1FlOz ZIFDAU98hfVN8Gtl5NEX70Mtp00Llb4+ZvTyn+Q/48aFsf1kjx5dPD212W2k wY8H/C5psl3a6LYLcBFeFcXDeMW7B2S00KaD3vKjkkCNXmrKlga8uvcWe7LL IMuph06eRw2UYxxu5tIK8FSNuiHSoQTtnW7vmXzU8OJr56LfijwEHn9qj/DQ wmxatwsbDfD7cmZ4n4geimrkjJhtZCCZm3t04v4N8AbWupAJp7E5kC5Udd4E r4dSIwZdpKC4dPqilKcliuaTG2KoTyJkydSuReAO2Ac2K8SHxCE8GLahbuCE cqr1nI11URBDRwUWu+/BhIHlYnmBEK7trZ/+PeyNS/SGb2q+CWDWNFFVz9Ef I6Yk3gO6fHCilNv8IBmE1qQllyhRXnQep5wtbgwHgxZbgY7OEczvNeNRvx8D v4BaA6MHXLh5mrB/5G4CHoYGaez5dhB2BlnHh3xTodhm88/96kGEn5GyyjRO w3mD8CmT0QNIMjKaZdJIx1x7mm6x/QEQdllXPUMGgnr24ibVAVSWrU0UIRPv naNOqMbtx0jAmC1RIwu2IgQdI8n9YBwx8Sk0ewmv5MXn3a6cSKH+dO1kZQ5o qtS8pJv24X3/1cRUrTyIHR/5tSW0D0LH/whncb/BRHvDr7wEDjhZPAqK5HyL gp1rbF37OSAiaHEwsb4Q0VE7hHZks2OpnG5sb3wR/t7O7h5UYEdPQh1zQWwJ xC4Eq2zNsiH7qnq4xKcyWL1OCGp7zYZJ4X/fbySWg/VFSmrLPTbIDXSI0sV9 RFZOaluzBhv+yOXse15SiaaJjtR0/u1/g+HPJymPz2h8zDgosZMN92MHN6fy qlD9Nydyg8wKPy7PW+UnauC+Fe+kN8oKc98zrK86atG051IB6yArpGTzI/1C 69HJxxRMN86KDbsXd2fNG3EzbUCJ9hcrxGS6pzQNmqEqWcY4vZsNXz2cvWdv t+Cp+h6rYE02LF00HRA91A5ZpqIY/3A2nKHquW4U1QH6L3FdL4fZMCjY+Xz1 UCcWkuhCTYXZYUNslnV27MLrdwq6sQ/Z4VWzm3dXx3coFcTVSQ2z41xLkM5L mW6cGch3kFHlwIXDoz93FPSAclxjKqOMA7Jsqt6VIn2oLD5Z7HRyOz7WoSHn Cvrh1mW148TsPrwwvBRQ0ziIN5fZTMILOXFKpZhGemoYf/acfZJ9fT98U0L+ ddSNYOmDbnv8fwdQoXvT1vPZKPYYaDIEfDkApqbGEGrLMQj9l3YsKPogtiWj q8HJcUyF0ct/szoEfGgeeLI5DsrlmoggtcOQq7ocl1k5AbLNw4DJk1wItS7T nfCYhEHmdMHd09yYro6QNjKdQte3Ten2EW4QbtGLMYKIAs/y8ctRR3Cko0KW hXEaLa6TBGUtHrBMqJ8ebJuGRsY68S8HL0yIhqMC/jOovdGZ0zfLiwfP3OLn hGZhfCfmuUzTUQTqlCbr186C7txxMS1Ofpx27l8jPp5DMGHPvi15AbS2eU4M sc/jXWxJdbH8MdS9f7173XseiWmiX35dFIRmxIF3GJ5HwognxUlLIVTL/adz U2oBP8NsdFZDhUGUr77713cB4dVgaKkWwaWnjGhtXIAypfOm4o7j8FJfDHOi I0HhX3LL+jUxsLWlFodhu/76Yri/8aY4mGuzKcocSTAdtA+6efEEnoyEWMq9 IqH/PO9RTQ0J1NYq3KfqJ4FVRVzU6tpJLO40vLdBQ8bVzI9ND10k4cIXqMAg SAYde3KqV7oUjsYI+W+oksG2TIrQHT+FertCHU8TMtT/HrOlP3UaFXmt+4Td ydCxVPqYk3gGhc8GwsNCyLA7zfnsYYAMOBwSTORTyYgkuYUg6hzKjtAr8xWS ce6A8mBKI2BB+XyN+ImME8NtB9RZ5WFptXmY8wsZPAJWakcMFOBNXcAu1kXG X9pX/IHliphMvSoa3E+G4n3ZIV1JZWj9jZB4MErGPgeXFa9mFZz0++ilMkXG WlpUo8eEGjL7NHj6ZsmYnR2vExPXAM/ef5WaJDIuF8juPF54EfW6wjsnFsng +0tF80FaC3ts2fnql8gIlv73sbLkMlhfnYvd/5uMI6dGYg7p60DE4E/wn23e OxVhxcmjC4ab4/n+y2RcaJFYlWO7iiSb2sDP2yxVF73mekofsrzf0yq2eYNP uXk90ABOqQV6AducxxphH33PEL9O5A3s2uZs50ByYL8Rwo1l9G5s2/+hWsS1 mWUClySP8x6/yHBdDzurlW6Gipjxo7bb9+PSTpP78N0CazotOSI/ydi5k0py U9EaTXxjsp/IZDy9FpHFE2iH4Im8d/ULZIxxnpBWOeQAw57QFN85MrRteEv3 nbyLkfzjIvPTZFQ6eB6dC3UG41xPxcYkGVslyWtpp9ww2jlNmTG2fd6Jwtrz 0vfxoTR7oH+IjKPMsrevDD6A5J24Krk+MuxVt5ifUvmA6kVe8L/teLFJnWq/ YOQHCb9btynbyKjPIpZwsDxCn0izvEgjGQy0ugqBvIHI+0Nx2OTzdr6Vlfe1 pYZAzo667WEpGetjv1Jun41ARXfi3rxsMhpXxxpHy6MRRNKybIklQ+jBNUnv xefbflC8JO9DRsbjJ4yW/5LwMii2U82SDMrnHAPXd6aBQUjZYm07f4NtowdG 8jNB7k1kkuQhQ/+SjkU14ytElQV8Sf9NQqtSBZfjqzxYTvxr1esl4RJLqBXx 8Rv8iNKkk/lAwos9JJVCvbcgPPnnTBtPQnm6Pm0v0ztUjEVSmbqQcFxdi4V9 pQhct66krl4gwdNiL7M5Qyly+Ovkb3KToF0W6nql5j3UsygEgycXYM6xC1Qt H2H8hf6wTfoCUiJPGtqwf8ZH/5k7u/QXkNxTNXNntQpBJ00sjGgXMNOiyjP3 Xy0O/NpKl3o5D0NLkwv0t+qxX/LVO9Fz89D65Sm8atGI6cPCrL1Dc7gbS38x N74ZUZfH//7nNof+pke5tH9awPeYtaKVZg4VgjZZI+FtuEO8RqB8PAv3g92z MfPtoHshWeHPNotn9vlH1Hi/4W9QuHBY/AwObtoYit7uxFF1F97zbDP4G0wv 397cBYsQL4ZW/2k4v1AMiJb9AYfdS++5p4loabo/LH2/ezsfDLq5DIk4mEAP u7oeaCRVryY2T0FR7JUyxeE+6Jp/W5kXmcLj1aypp379YMo3ozfwn0QQxYts t+UBqAgmFQq2TyApOK6j9u4QKMWP5UbvmcA1HTIvxethcJQvOO61Hcczyaow W9cRbGyqr6dVjGGuhrowfN8oWtO1MoZ2jOE1tbvTqY+jWNYlv7ZSGYXlefU6 N6MxfB7mliN7jMDk2bkdi+Nj0FT2k5PM2Lb7dAg2FuMwXW4wFFUcAldpk/9+ 4jj8nt8yqu4aAN972mQW8wlUMc9cZdfvh2S+h/C54QlolGwe9G/vhXhl5VNe +UlMB0b/vPywB1mlnRrFyZNoMXK6LnKsG4YqybY0q5M4Zrhu9qPxO/rOu/3a cX5qux4TJmmbdmHiG/WjmKgpPDg73UVe+wb2BhcK2+9TYFRVdLoc3AG3IJPX fP8RESJjqfDgYDu8Zgwp2sWJ2HH/cpDy5ld4OLzPTbpARB+LhGZ11RfMDkWF tNwiIj290tz1aROo3j1KTrIiYqll4D1LfQP0bfefjLchglE3YWSYth47140/ GJoTcYrrbj5ZqxYX0jbsI64R4WpZqn8jpxr5XPxCU4pEpO3zaTzLXIXLEpf8 eAS290fJFbCyfYKw0n8rR6iIEDv7qkn5+EeIaC2+7u2aApOPipaS43uYOl9K M3gxBdW6mx3vRkow6sgY02M8hWriqJGPVxFm9vEkpBycAj2t3L2vGoUIsLz3 2HF4EsXFd9KjswvA+98me0vSJAoMHJbd1fIx3nHzAeW1STywsuIy9syFQk+2 uC3jJL7o73Jln8uG/96uXquqCbxjYiadj8zCHz9rLkPHCbRHvXKXtc+AbEzl yHvmCZhPKNfEnEqDuFnRO9E346D6IZJ+VTYF9RthhVrq42i7tvuK/UoiBNeF 3hVu5wvLD8brX/rjYLBLd6PXYwyh/f0CJoefodPsQYH83jF06X96q14UDUaG f6MlwaNIW32jzkEViScnvmi50oxio70kP/3uUzC1lR7hiBtBXKqE0JFLIcjn OHE64/gIrn0IuMoXGggnxXuGH4KGse9Vov00z2NoN8gdXiofgpPhMaI4TQC8 u4RolEmDuOQb6igq4IfNirTvm0cHIbwl+vaynw+yZ+73a94awKliLlUJ5odg ILcGb0n0Q17ipV72eU9wNg9UXGLqw6r8zjdHD7iD3qb5fPBqD6QC22fTXV2h F3f8XPt0N1JebL0MUHBG5yYl+dDEDwSwNh01trmL4wuVEoYz36FnSlZcGHTA rGsftc1aF/z1FhmVue0xgwsfVcY7wWSfc4LukR34s1kM4vu/YbaQ86SOhQ1m VNYdSSMduBJseGPmlRVY5VqO1i2149qJf3JeCpa4WL35PpGpHdPyyTORXBbQ Sv1nOuHUCsNhu3/PpM3RnB+l+WigBR8KjSpUfc3QdHBm2G2jGS3uBbGPBkxh XRQ5ECTdhMyrN6WG75oiYOQBy1hEA8gXbQwuE0xhXiNAVUxXD9/Ys0rrZ0wR Ye4rePlZLWS0w4pSTEyhfsI4YD9qkPWsj96xxBTBN06GBP+pAk2Yac1HSTNQ cCcbHDD9jL1eL994C5nDtbehNbG/AjqnY48ouVpA38HmcKPkB1hrz/LTc1lh Xnljq+ZLGU7aFZ7aOG6DqV/cPw4nlIDGXzI4850d1JJOZY4kFWHdf6e0aqU9 pu7UvPNpK8TVEy6H+QodwR9G6lYzK8AV5V36g3wu4H/jy307MQ/tpuE5jBnu OKLnPpZKkwMljoOF7e7eeOXx47cMKROB0rZiVx75oc4zlHlaLR3ju1Symh2e gLI1nidlRyrkBxt6/nwLg8HO0wy1p5KhPwWznLAolA1b8wX+jEe67UcGd8o4 nHENm9eVfo49744ZxO5Kwa/S7Jgij1iwKDRd9DZPh/hvifs9FDGI0r301Nrt JRL79JcvrUWBxECaHbTJRYnc85fX2KLwWVWrxo26AL0V0i1TupHINHxZtva2 cFufrJnxl0XgTg+FAVNrMYzb65vvb+sBd+PKkSjz9+h8oj9+rz8cF42bOfIe VWD+3tvBsbhwBPzgpE7nqkLrxvLzDOdwpPwj8gm21kCx5WdBu004fF5rsFt3 1UOlz/pEskc43BfzBW+cagb5+TKvdUI4Mihrw1b4v4Jb2eeg3JdwHAnUDNkh 2I7MhZ1u8wwR0K7/7U/X34GvpZ+dlK5H4MfpZivK7E7U/n4lIvw+Agtrgq2l od9RECcTHS4QCfLc+WqRwG68EAzxccyMBCcFy9ec2F7kUFZ+7paIAiHx7fuu t/0oYPwk0NcWhS9/bna2fR+EGKNxXqJnNI44BP02/TMMqYzF+1pnYuB65kPj c+ZRuKu175bcEQvzT/UPlrjHcOgcH6LGYzER9vm7pNA4OM7Gi/v8fAb/ZTE9 KY0JlDGoitmzxcE5LEM4yXASNda+7azM8Xic/qTur/gUxq4L1XQdSMDh5984 2demcLOZO/7gqUTQHAgTlXpHxECakJ+pURIUVH+8XzCexgb1NzOhhGQckb9h vJtmBq9dP2xuTr0Aj7L4vci4GcgI0XqfSktB9u1Pr/J5ZpGxReZmvJ4Ko10B x4tfzIKGVNyj5Zy2rSMnQ/swhyetdjU30tPB9S6v3LhpDpnlXXoG0xkY6DWP 5yfMw+HBV+EwpSw8kTR0OJAyj/5CukbN9y+ReqOYSuznPNxC9NxZ1XLAdklC 9OzJBfSHCsnbLr3Cyz6vgV+WC3CbyW37+z4PE/az3LPhC1g5pBEcm5KPN1w7 j3q/WcCXXTq1K6EFYLb6PGS1XW/FU4enlU2+xZ0stbep3xfgvZedM0D/HYSF ZVVzexawELYy6TxXBOYnJ6vKvy2AfNaxpD6pBNEU1UtVtQvQv3LTdeRuGTT4 gk/f27a/416Ls9btcvw89NzJJGoB1MQatdanH9FGNfG312EBtzuU3CfsPmFP YrxE4bkFRF8Tf+ipVgWvzXP+ApQLGFd3Kd9LWYNLDo/a2D7M485iYtDd8Vpk MLRactnO4w23WenmUv12fP0vFjLN40Dl71iJk0342nNbYVfuHGSUR33evPyC D5+iaaXPzGHFWmFlJbgVXr+lvgS92dZ7IeTs1r523PMX4CtmnYVeFvv0rejt 97lKpfWTxQzqOow1nZy7kHbU1NkyfRoiSNhsZf0BiZaLHrd/E/HnpMojq7Zu FPPE0uhIEqFLeEU6lNGLVtVTkbbb/7pkw1cBkch+XL5o/XTCfRIKx6iHNM8N QjP5ZIJYzgReK6dznVkdgr6T/5/vDeP45LnDudtwBFfZz5Rmd41BI9aeomFb t+0PGB/xbh2FGk1w4QWKMXDISc50LY5gOkLAh758DKlvhQyP7xhB4bl4Xum7 4/Cfe/zyycEhOHZ1ZqXzT8BFQNKJhWUAnNHetcdLJ7D0cO7R9MU+vLiyQ8V8 W6+x20bbFt3r2a6PI4IZaibhZh2vNB31A2d/B/d5ntnWL89HCPWpXXAVNyDl pk6Bzv50QVzmNxg8czejm5rCV/fYM5ucHWgOaRjec5gIhwaD30EH2lDkwRxx RZ6IEnWez0nPW7DApfma8ToRG06JPdqHmiF/JdpeyJKIs46PVgn5Dfg0/u5Q 0jZT7iz5dl2rDrU0bbfubq8/Uc/rPkRfg7dn4ksHCEQUczw6s2vwMzKk1tjV WImguG2g05xegaZfxlK8k1MoFb0+Z+Jcjtq8xRWr3Ckc0r6f2+pZirnnKQra llOwn+95IPa5CPEOUU4anFPQuONZYihXiLFh55alqkmwGJbZ52y+wR2WJ9J7 TSbheu3bmh45F2/ELjQnbEwgnOX+I7er2RihZ/4dHTKBP1yrHqmimaBvcUlg 5ZzAxrr28e/WaaionPWWSB3HhhzZ4D/qFNyKu9OayDEOX4mZjfE7CWhb74tX Ch5Djeg5Bt7QZ1iYc/n6gn0MVlUVJsMd0bh4MdomPHUU9qR7ojecImG3Q7n3 hcgoZrkYDhWbh0O3NeOrUtkInlwm3HCUDUWmmoz+hNIIbN9+127lD8J77yW/ rMxhvBZI4Gx3f4yx24LCb2qHsMgf+3WOPwDigXYFV4iDyOUsehV0xA9brPff 3kgZwLdVzYqVsIdYpVlZ0jftB0skxQXpeU9c6jmsMS7ehzrZgkKaB+4YqKw/ qLWzF9UNdNwdOa74JdQl2jDfDaH/tAQ1rzhDsFvgvnr/D4S1kJnTzO6i6brI vc9d3yH7kit4ucEBR87UaG/2dEGDu6ujbugORKRWPKJ6OvHkAl+Zk6cdxFVZ 9tWOf0N9t0gqu58NPjnf0Tq+0YE3tBRdQyNWoNOofHP7QAcGVa8Hv3tsCaLd 6/T9qu04JhsiY2pnAYX4c6XP11txZnmpneaROQKjxK5J3vuKxXqlHV5fzfDF TFPwzM4WdLyi7eU7Zwa9Euqpx4zN2EPu4iVnm4L9MUeSjnQjdAOOpFJfNcXt MNWh8z718Cr/UkQpZwqTQ5YMp2Zr8UxI/CrrLVOE+fa6UznUwGi5+sbtt6a4 z02VU8ZUjS3xC76zUmbol7vz+WHzZ0Q7PbHunTfDM9ZeE3npTygrdDP91m0O i15mZdHSjxjR7eDEMUvwc/Au+tuWYx9LxEBuvRX+D89gk6k= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFWXc4lv/3NxKKShFSRilFQ0Mh9Yo+UikVZWWVrYxQIorITPYIGdkze+/x 2PE89t7bUxEqGr/7+9fv+ee+Xtd93me9z33O61yPwENzRX06Ghqao/Q0NP97 Xpj+qNnwggL2kstFew1J0PqgENZN4P6nm7+lGpBwqLyRv4fA9TybrwoRWEdY ko5E4J6XNBVu+iSIKXFyxRBY4erKyTE9Eo5FfDlrROAVT+4DILDuFd2MvQR+ e1DmaYYuCZGZ+02q7CjQrDVNkiJwjaOHszKBfQ8P8K0+JMGF10552pYC5fjM hHkCu+VWS9sSuPhGc5gQIW+5lTuTi8AfznXuyybwKlOm/efnFOzyVf3iSdgb 55wQiyPw/Qy8SiP86zEVlI4icEekpUwd4T+7pG1kIYEVKImsv4l4zZR8SpYJ 7N4k/++yMQkDTj8DFAj9Sw/M071NSDA9kWjdTOCAtZbE+kck+E/7txsQ/lZo 2QqOPCZhLJxH8hYR37OKPdXfTEl4kd5qpGRPwWOyraKbGQkfg4fuPnCgQI6u edtrAl/JZDyn+5KCVPOixw2EvIOuavulVxQ8ojcMukno24TOvWMETtvYqbuL sN/c/v7BUUcK2ke6A48S/k5MzZpvI7CWZ9hAGRH/Ppbrf54T8pSc1x5/tElg bPp6+AOh343zvEmHBglNElu/PyLsZ++4MNCmRoKs0L1zi4S/m+sSzQ6qkKCy 64SWMBFP0Z3KrUz3SHA3ea4qTuRjd++W7SlKhP5eoyvHnlGwNzdSUILAO5WE uxmtKWhpbeCgEpiswkK3xZKC/ZVzScvEeRfNvVR1Cwq+nBkmKRP2Ku4lzAuY U7DN7/M+Ni0SrBjOLDubUeDEyZlPS9xXaw9pKprAHx6+yPlKxHu+8HerLyFP 2ZPu5mFJQiqzaeSbJxQMmbI5TdiRcNc1ZsGGsH853Mx55TUJI3Y58vcIf2nN U9N2exL5efd2zw8i/1frrUYjfEj47TVzfv9rCgRyLdqH/QlsLK/o7kbBOQmD kCsBJCTYHAlueksBq86+3dq+JLC8ufvgpR9R/61jtOMeRH1PvzY8HUTUZ+k7 89pXJLzsevv4RQgFupcYvS4R/t1v2cH/ncB2lvzSAw9ISPsZ6S8fTAFv6/t6 vVskGGXz+Sn5U1D4l1/x+3kS6tX2bqEh7Dm3p8T1HCbq1X5LmKUzBVOcws1e nEQ+ahfu/yHiuelYnRDBTILQjX2KB0wp8NT84+VDQ9xvzuJioA4FKu5P7tX9 qUOU+cuPh+8S8kdU4zXoSLDzanlie4O4n31vn3UR55VLtMa8ZIn871F9/4ud BJqN563JoKCSt7a+8QAJoir6l3nOU5BJ3dN/5CwJ9yQzxATFKWgozKsclifh dl71IbpzFPgEl/J5E/e1TK3rniOwuHNzSiGRD19WTxoG4rxu/4hObQQJziI7 T1pcIu4nWqbpezEJR37m1IpfpWDu+R810z5CX9CfKgVFCsx994jz/iDheFn3 01gtCqSSj8Qc2FWPTktNM1Yi3iNNXMmPjtbj7mxzowJRv7IBxoeGpevxLvxa KbsP8f3xiIbqK9aj9XPH+x8xFIzXTR77pVGPh9Qlhxd5FNB030hO1KnH7ZOR HF4kCppvOI1/0KwHl+Pyw0s9RL4Y5lYV79bjPz6hP8IzFCRc6rn64r96yL33 te5cpaCErf75t2P1oDPYWVtN1wH2MqvqvB31iPgVLv6CtQN/7UdfbiySQEsn 0PiGowNaXMkvBGpIEHS1lnu5pwPWPyxGJol6i9BJ12nn6cCX6LrRHE2if41v teLj7kDWb5tKD0ES7tCe3nlgZwfa1ZXS383WAT5hqqmbO+DuEcGxM7UON0bU K+PWKPhZyu/kbFqHnayz0jzjFFTR9140OUnIK7Os3WigwJrD6e7TtVo4Tr/d JJZCQb7JpQWPylqcLrK6f9edgq8atf+M/Wqh/M/+2h1dol7FEVVvUouHN/s2 vhP3V9BRsf+8AnE+QTROYBcFF24FOUpeqMXS67sB3XNk7PgXk80mUYvkw9+q t1STkd33u/25TC0Gwm33tYeT4T66fp5RvRZlHy4JHntOBr95nvp9x1rkLi7f OKhKxp4d3R7debXov3igKEeKDMWVmOrg9VrYka++IR0i44TJD0VzhTok1YRn S3KSccT2SthoZh2G9aaT1LeT0a37W2aDqN9AJTvlKlYygi1c5v9zJsFDTFZ3 eCcZm3JUgvzWSTgb6dq4jY/Qv/lVppFtPcKOfDkVfoqMsiDOvbR/69GwOfJM /k0ydn3YNnzRtQFU3gYlOwsymnYdEcjZ3oglPwP27UQ867kXL7KFNmILzxfm C61k+G1cutnJ04TX539EkzYT/aH5sURaSBMSnFJuXpcj6uXDpgFOpma8NC9/ f/EdBbfWX4k/N26GcPhRCrWfqGcPPubDhc34x7vl6ZOjHQib/sAe8q0Zw74T X0rtOyAnb3ROf1sLyl/Kxkq2dWCx5YHUyM4WlDQ+7YrY3wnSv7CXXRvNGL+W dkL3aSfoZMVv+tY3Q4qqytNf14l3X0zvzVs3Y6BDi33vzi58ezi+ZEzfjHY5 FHCodmGKR0NY1aoJTx+55TO/7ULj1vYPwZONkL5O5Swu7AJzOoOhtUwjaLem jdUPdsHm7N9Rp3cNcBCM/N691oX1/ta2iqZ6KNwYrAtl6EaCIDks7BcJJy5x /O5l7MZs3Jfy0X3E909ZMvb63YWI+Q2GXMk68FhP9/WPd2H7dKb1U6VaUHe9 Dz1X3IXE5sNmaY9qkPZu7LXe6y7sSzp4cd61GuZXIo86ne/C6s/iudSkKjif E6zaPt2JpzKqtVKdlSDTRrqsvu5ETFDhswiWStz07NF7uqsTfk+0b3QnlWOo 62Cp4PsOvDyh+7v4fhmy2BL4B4jv00vr+pSVWCnSNL8xlRD9JYpts9YIUwla Y6xrT1aQ8ahn9W7B3mLM9C7fY9pGxli0ov09qyJsGizVH9RsR86x78m624pA 5qWG/dZtg8wpM8dbXwtBcj3EVrjnMxzYYjKzOAn5b/Q+3yZboBNkbxjjUQRW mwRKN6kZ2w24a7/KFUPy3dDDnpomxJ1aCbquXIJ7+R72IpmNKD4y6by6qwy6 8pot+/c0YuiGQ0CvdTmMeOhuW4Y2IH2wlb6IsRKKZ7LjG0UaIKe6GqH6vRLZ v7Z2V3XW46jT1UMVf6vwR/Br/URAPTa8li7LidSgrNKlI924HnkHkrQ57Wqh xPftcahyPdzC7q/TLtZhVeDbKvf9eihZRcQ8cKrHxFfJkmSbevwrUxtakmgE s4viyeq0euiKdL9KYG+G0k1Ny3WOBuw/t0FjmNCKCDPxI7TPGuDZWUeqdmrD bZeoCOH5BizSS5d1F7Tj56u+7F7LRljFTvufySfDsbkNFjua0PkstrqyiIL5 +zHyqkQ+fMSNHy9UdIBkQmH+5dWMCZ5Dwb1EXffsIz8vNmmB06G9G6YNXagd M1PcHdEKxoMM3E//dOPvyuFyxW+fQeI6vbF3fy8oZ4Jdefa04/79qV0drH3w TL5ADm5sB394X4PlZB90ID1Z4kqGgTnzvVMf+6G1efeL8DvEfEy4vCPg8gD4 9amiJ4U7IH/48ynzugH0bjfbrbmjEwdrtvrTHhyEtnlcxwB9F15E2ZfOaA/i Z78h04VN3TjEq/Gcz3oQhbm/GrqHukGTN3h43GAQ5/n8bLZW9OBap0veuYuD ML78mk4isRdXytg53X4N4L6J6n6/oD78HmYJUAkdwL/BJzvYPPpxrlbx+O09 AwjvL5iwcRyAk4nErPirfji+2Gt63m4Q/2ZfPvxL6sOTNmneQ0eHEOpTdMTw VB+kLy9fcBsagu+F4mdSPr340zvcYuM9jHedLPcSh3rgNXFEZklyBMl7JMMm 9/XAmz7hftPkCBw7P+y+drsb2y0Gl/r+G4XwtqbEK0+JvhBV0rQncBTlXtfE LL07MUsNe6rdOQrN2T8hVeUdcNarVTvGNoabp/9MTRFzVCON8cvctTFw7VE6 /o6ZgvdX182/OIwh7Na5LV6CRN6/ixu4p41hwZxThSLRjo4750rWO8fAdtCG iyHoM/Q/Pwt/tTYGbvJQddOnFhhwcav0bR2H97CmRIRQM1QHeL628YyjRvZh R0FkIypj/9xdPziO7v8UP87vbkBhvjdl+cg4tEtn8/iI+Vsgup6tJjQO4Sar Teo767CR9UOpd984fKe1aNLe14CUzvFbefs4WkWdYjkUq6H6Y9/tn+tj0JPV z5TYVYXhXUZ5kaNjyLjtVvWntAITRm/eS1aOISr57IlHJmU4pjMo0PJ+DOOd 2jX7TpZg9Nx1Oz1TQv6MXrHQriJoBPyIOnR+DLU/GK5I7SyAR4ewpxz9GCT/ OnjFnsjDjbn0D6ykURi+MP116nEOEkR3uSpbj6JtZlQs1iwLFxatvvbwjCJb Qayb49InDHGXSTfbjcAyIt3a9W8qum6vVdTnDEPpLIdiPnsyGhopXg6TQ9h8 8/gDV4cEBHcMTtdsG0KWVAvHr1NxEBdyCX54ZhDiSm75745/hJDoyIXNKkSd 6wq3hRhHY0910Z9zz/vxfZiee7n4A1YL3l9Xfd+HoVAhciljOP463D9X4N2L bb52qamSoYhyy5j3etOD4FQxzV+DQcjvyfO++bobphRpd9bhAIh5bogLvunC oKcka9AJf7QbFBguv+sEzfDPQs06X+SDrV0rugPGr2pTZYR9oJzhUnjHg9iH HGoE7jS9BQ33f9yfXpJhH3H7kuKEJziGVx0zHdtRavVnSeOBB8xSy/9l87bh O4/4bN0Zd8gweattudeK7MSLCgp33CArZ101FtuMSrPQn3bprjjllGFwIbkR Kzdzl/xPuCK74MrpTRSCF06XR1369wY7OZnG7PaSUCy/+3EvhyvSD058JLvW IlReqNLR3BXPaVI3Py2shnH12k1IuoFDpecUHQcxp2gPXCU/csfnsLsBsqcq UJ6tNrBtiycS448bqTuX4tfHTWK/ed9CWfbqThXOYgRK7srpLXwH71vvvMtm C1Bkv1/01Kov6i0zpF4t54Fqw3gjZcof8Y81yXeyc5GlZKkWYh8Ie6VV3jWP HNjfSzfWkw9GxCGn+W3Ps2G1911um2ooaGpaq5VfZME82XbKKS0M9+zq2KL8 M7HcxvpB8NYHTJn1no20/YTMv4ntFw5GI+2zvch1iQwMbtvL9ONlDELH2vc+ 354Obk2z0sTfHzFfpbh8diMVFuq1rV0xcXDNP/EofiMF3jDxVbZMwLols+zS 9hTsaf67etsyCW73ssh+K8lQbLVP58xNgp2uoY1dXzKMAurexa8lQYpLbDSl PBkS9hfrf0skY6NDumB/XDKSC8iufC+TUR6oa/IqJhlqj9k4NlyScdPAqmMw Mhn7msOze72Skdp8f1kyIhlVnXQ6hf7J2Gp9+cR8WDLiSRXFh4OTEfb+f7// f54l3dh8PZTQl729kflDMu6xnY9eJ+TsXuvb20Un4+Nml+MagcmQUv8xr5GY DNbd4U/K/Qg7zyONpTOSYbxuYizgkwz6qMWfQnnJEPV92nfwaTJEztVEh68n o1D4javF/WTwPROSGb2UgmkDTj5amWTsZGfd+9MtBf+5b1PsOZwMfIu2nmpL wYO4gAQbqyRcd93YsrQlHbrsm49vbk2EfvpGCpvdJ1y6nVPGLJaI4cuTSZU7 skD/M8eFLTUBa72Don2vs8G5i6Mm93gC6MZ+/o7nyAVz6q8H/hXx4Os1KPdr zoN0plvAbc14nGPq/M6dWAANEVmbCMZ4OJZzyjWmFCF0Dx2NRlMcdh2VEHK0 LMHUG5f480FxuGYjdPmlahkqfjj/3G0UB5JltZKwVgWaUigiLTJxkA1dbbSo roSVefv6+YNxuGP/1+DXdBVCT2VxqrLEQZpk+UFQqQZbjc1up/+JxdkB5Yan vcT+8NOFZvevWJQ9E2PKsiHBRfpEiMXfWNyLaoq1OtmAM225T6NY42C227Ba ZHMT3P6qd7ofioOyEK/yjrVmlAiK13iYx0HRtqqfYaoNR7WT4vRz4sB24aiK jBYZQtTbrvc2x0NA0zWRZpiC1a13lMSU4nGC9VXKzX2dqORoq4pMjgeHD2+B p2EXjj/v3RzAnIC6WrJ8XEk3+L+8Y+K0SsBCtmD+fa5e+KYI652eTsDI7ZNq 1+37IPPjs9XKw0SsvojSnp7qx0a/nKcddxK4X22WJrUPwrljL2/CWBL+s6P2 JZUPIzghrFb0bTK2h5DXmwVGcXvs1mdamRSM1d21qhsfBafdcTYZ+lQ4Fc9+ Ox0zhvIdr5X42lOhcLa4mkNjHFHCbYotSWl4JFX83HbnBFpIuz47eqdjfSiD 73XNBBID7LxtX2YgoYk+zcRsElqP1PTekj7hJoVstIEpOEikziz7ZYL18+Lp kwzT4HBi/x4kn4UjHI9WTpVNY82y87HHjmwozxb4WBrOQGvL7zfHx7LhkzPp l0g/CxOvgQBqWQ72X/sZUO83i4XFAzxnE3Mxf8H83B+2OQSFuEi8nCf6E71W UkzcHEzpLlye+68AdvW3XO8KzANhH2y+WxeikNVfJeL5PDbK1ssu5BehbZNU T2L1PHJz/b68YS6BoEHI/A2aBfxkj/0YYF6KvWwMHjqnFvB4ae9h8bky/NX2 2pGltoCvNVaPFWwqwM+Tt0Jrs4BHNOmmmt6VoDCWlzN5LYBvNC5YzKQKMeJp hx4FL6DwzIIVA9Gfb+Vcyx0IXcDQ4POOfN5a1P61iLB6u4AqFhbPpqg6HO3K ZtSwXABrZFlmm1Q91kkjn1/IL0B5u+Z3nR8N4PTKHX/BtYBaPukVfnITlsa+ CLT0zcNjR65rXnMLrGjcdyf5zGPbYJxF1exnZOuPXOORnIeVp8Loke52bH7q n6FaPQe6OYZDDHcpcO15ab0oPgdGBYtP/F87cNuQz2Y1YhZSjD4kg6QudJ1M /ClDnUHNppHM+4490K4c3KV6eAbCphrqX5/1QXvTxW9mN6ZRFJj430Uvgg9e KZd1UJmCe63MxfMlQxBz2tIsJTeJt7WsNyNoR9GotPD3PPcEuJ9t+kZeGkVy WfOu6B3j8GrXY46YIviIHNXn9PIosc+d5/+VOY7htcW5o1MjEHlML6trNwHv h0nhGXVDOPAbFaMXJyHFsLdv4g1h96a3Qcr6JESOqz5pO9QHrovrXn+TpjCt du4ZQ2o3pHZczv96aBrvGXRKjSI6cV+d3bsrcBpu+ilUldcUOF1jf6c4PI0X e3mfl7S1o021g+zANYOxVZXnyxKfIfrfqWf1l2aw8TO2SmSoCUn9JpJv787A RUQyu53Ya4z4hOOk7sygvf1P6xfjWujvm1kOPjOD7TLCR1UeV8H96uKdXywz mG2MHD4aXo4E5hjZZ13T6Lf6ozmWVAynPDG9D+HTWDSZfc8YXwD6K8L6+1Wm 0bRiK/RgKBdOK30JVkzToBnnYVlQykYVMzvjmcwpjHTvdxZlzkTkOquD2K0p NP52fxP6MxVHDMV4LKYnoXFG88g25SQwfCvyXXs2SfT566z7BOPhbSDmOkc7 CVbvYzI26h9xSiX/yiP3CfyqS3//ciQK0s28XwO3TuDz82N8Z3PDoaEj+sX0 7Tjc1RwU9fhC8eDLw0PTBP/NuB7Jyr8tCCKFn0IpnmP40lvq3Wbmjwrjgz37 f4ziySO3JvomH/AqT0aG6I1iytmJwc3bCx+trjcNJY5A2PevQRO9O9wutOq9 9BqGk0gomXvbG/Cv3xn4ZT2EHmFFsS7/17h5S/u/f3qD2MPFepVk74hzpqNN rBoD4GVy2vvF2gEhO75qOaj3Q0YhS0D4hR1o2Q6ectXpA4uI9pXWFRu8vubL IGfWiwI7/prEz0/hVbg0rs3eA2qHRpL1MStUdF5+7dzchS8D4Xmau5/g/Pb8 IJ2ATuje1Wc71W2GX8cCTjs96sCFHMv1/iOPkZlK+0FFiYKXJ6eczBhMINV+ 77HcdTLamrtCqApGiOnRFUy71Q7vGwL0HssGmDbTLyyp+wwJeft17jF9uEvf 4jbe3IqeD03l9Nv1kW0XUs2u04zTX5MEH1jp4W5B3ly8RyPsmzIv8fzUxUuX 1Z2BBB+M6IlYSS7QxWKI8pN5cRLs1CXfSKbpQizkgnlLcS3Eyq5F/iLr4kXs hM0z5Ro87ZmtyDqkh8dvObdd3FKN8+2c8u7JeqhnjzDz66yEZ+gds3Z1fURc 1JRmfluO0u8hrT9iDXBIzvYsZ3EJFC7kG5xTNELX6argJ0eLIDJQ8MbZwgQ+ lEH1vsF8JMl/nvrMaoremJLN0XW5gKLLxXxeC8Dir0oE0b8vyrLzUbZa4vDL g1Z8R7MIfnSDckHTGq6bApk+1acTe8dZaZ3m55D68zmzdiQZcROjNVcjX6Kr +67QJs8EiDwpP8W73xlsl611j+fEwnOXDqlZyB2XaGlpu6/HYMfWVr+Gyndg kcuZoHeNRJb4WspCXgBG4ydlC/nCsV17xpTW8D1m0gWTBB6GwuSYtuKSQjQ+ TQZQGZKC8aJ+baw0KxaMZa5z7seDQHUIOfofwXvklFridYUCUbmjINuiPhUX y/Sq02QDcOI/Lt3fZzIxb3ieRdPNHyybO00tp7Nx/5sva9K8H/a85jDZwpCP WyXs5WumfiD9VFF+EFkEmaon3ePb/aBtZP1eq7IMyoe3Jp5q80WEd+V+Jakq GEZOBnWl+MLDgqeHOlcDl3WZi2MxBO/WzahV+0JCq/GB0z45vhDt+jZuerMJ 71jcREU7ifNx3uVOF1pRZzLWsb7JD41md+T7Trfj7/W0wkJZP/zLry07M0UG 41UavUvBxPvem9/vZnXA189W8umaH0JkdGj+BnVh/PGeV3IG/jCV0Ew649sD Me407VyC5x92TbKVi+hDXbo8A8k6AHZuT15O5A2A5rZScsCuQDCE9R070zuE pzIhqdLVgZjou/SP5e8I9OUOJNM6BeHRtfg5FmIP13DZ8N95Oxj8T0wvefCN Y0SVWlt5IgT6Gay5a0ITyNpmOfRbOhSBneprkdcmESYgvCnO5D20AsMp4ZpT WIrfv1plHIYg4b7dEyemYaZ6qEz0eTgyyyy3D69Nw8rSyVc7OAIOjQI9w1lE n5aZ0amv/QD1jmOXbXRmQX+4dWOePgq/Hh/nsKabg+N1xkAR4WicyP1c2R0y B8GyUb07A9F4stNqx2f+ebyO8HMpCIrB5Wq2uxkf5nHp48BqeeFH2AX+dNx0 aQHDO2VL/ZZisfPXC3X65gVs+rEmYSodj7GDWrejLi0iNDtlKSk5ASFV7IET HxeRcvmfboFIEpqNuB51f19EVKg4jVBjMn78V/1RX4yKa3Zuh2KdU8GvwvdX zZiKp0aS51c10nF4Wm7/bT8qLu4WqGdQ+QSKXVdyXgYVMt3BNz0XMhGgXJX0 pI6KT8vqJGPZbLAbKon9bqfCUdcmnKkkB0ulFdOlFCoKz4bPWijkIXZahqez mdB/mm2snbYAu0r/OR8oo2LHv+4/L3oKEb7d4IpyIhXuXnk0i+RiXLu1/86s JxX/Su8VVn0vRfi+0MqjRlRYjtIWmoxXoPZ866jbaSqiysYrJLyrcD9is5jY 6iLMzK4o8NypwfD5/KNb0xcxMXVYR+xSHRQe9PDFqS/iuGsSLYtWPWi+KiTo /llAyGztjcsZjRDKNs+wDVzAs6pwRf8zLdDWi42e4CX4VXrLv08rn3Fnt9Tw o/B55OitL/L8agcjLW1/ItM8XtFXd0mHUrAsxMm0qjeHrDXdrefVOnHkHs+K dcYsDvaUiHNd6IZbWt4S08QMGD0Nv1ZO9ID2uGzUMZEZRHMemqf/2AeBV364 +JCYu7hTddZmAGvKHQtJrlOgkXOh23gwBDP3j04VwZP4N7PlqTXzCOp+OF85 XT4BhicLcoe1RjGUG7xxo2scCh6JltPnx1BT+qyPeWAMomu7z4StjoHO8WVy 559RcJGG9oV/GgfnT+b30btGcSH2/tIRowk8YzpXJis+jLRfjZa79xH8xt51 IeD4IO5ojDRKZkzCLHJuNd+kHxdVE18clJjCmLDC9YygXhjEp6dElExBSqJ2 ZjyzGxFH2RRoT0+jZefOPW/LOyH01d1GNmIaV2qf5cxWUaB2ZTaycGwa6VUx DnlnyDhna3ZkaM8MlpdUkx/fbAOO3l3bgRnQVR72yiK1QNpAOiJLdQYvVq9V a8gR/Ef+Q3GCwQwKOc1KWDvrcdbD9OEowdtVVI7MNj+pw3GGzgC9+zOY9qY5 M36wBl5Z/9a1Cf5kVR3yJmm1EqJh5d/Ed89grfuc+fOWMogZqt5UmplGZ4s1 l3lwMarFTaVL0qdx7+6SbExoAXIS/9glGU/jz7rZ0LXuXBSQ1ITceKYhcldu 5N6dbPCPUBzWaqbQC8qb61syIXYj2rZGdwp/BDKY39GkoXWZUWJ0YxLa1z+9 v/wwCTqCel9UvSchfsT7muTpeGTFmGXJcU/C9ge/lfKjj0jfqurfEE30JVsx LQvaaLy6IBf/gGsCf9O3fjJ+Go7hqj4VGe9x/C5jX38WFoIapfiUSK5xaOy9 wmUwRPTFvLY279gxqCZ6S9xx8Ee8zz+P98fHcGRlWF7BzBeq749NixeP4lfA sKO8vDfSCszkyFeIvSxfQzTutCcm9ry3M08egcz0XMO8ixu4uX8c028Yxt3N 1faeom+QT9l/YG1+CEo3TmZMHHHGnaXcxq9xg1jPM93IDXHEWbt102ajAbzA g5XsP/awrjL24zvXD4eiPz//ettilpzRfHlHH/gNL2j8LnoGyz3sVtorPdhS 01H5StcaEYaHFZ5OdIOveLKo2tISbwxGKh8PdeG7+Lzov04LbJ2fWuUa7wTt k5WHGWtmmN/VavtsrAOfhWVeZPs+Rqxoke6jRQo0xnl6pAJNEMHTpfSejgKW J9JZOl+NEPiq9UzEATJ+9osc+BJgCHpsVLEQfKkGEtwxzwyIvdmyYxNzG87z Sno5vdOHg9AlwyNurXBczGQ07tQDl7+CXyFnCwTbQzzjZPSw89j9GwZ7mxDU SmJ6S/Ah2fgQusD/GnD8zU+aaVVd/G5t6P7qTUJBWd8SLuniK9PVENm1WpjG C4bna+pChk178dWLGmhtHZY3z9DFRGuuZxJPNb4m9IlKndQDA+vuyhmCLyU+ flyiPa2HN0W3hRjlK8D67fpXgzZ9dIcwFjHbl6JQ88rBGzcNkZdZ0LjlaxFi b66y850wRg+3ZPaxyAL8lBTYI+D0CHPmj7dyu+TB5uK0xkUlM8Rx13Qshudg swTr2fJBC9R8O70oPpaF80VXPK5NW0K7/xPnyq1MhO7+/Vz13lOcK+I66H0n DVXzgvbDu+3wn9x79jMfkzAQ893fRNgRz5ps6lrt4+FvTup3lnHBYWxiv9v2 EQpX3vplxXiAR3Nbhb5nNLRuuhXfUPEFu3HLyWHpD4h8aP645kcgTAM0ikq2 hyHszqqeJnM4KF4BV159DcHrLk3ZJp9oJI2WG3TxBUP5O0s3g2IcfmXbiLAS mFPj7ciGUhxM77+mkeUNxl/Ph3uW78Vh7+nhKft9wVhnCnSdVYmDUIDnQO7e YNzSPig4ohaH0k7XsUWeYIRz8nzvuh+HYvLebZp7gmFm3vu9RjsO2kILL1q5 gnG0XL44WzcOHNGLwhc5g9Gp8v7KR8M47MoJ+5vNGAx6Nb6Hh33ikDA5clr6 ZxBCBST1fufHYc+LxPzZ2SBkOwUP8I7EQVVywjK5LwiTEzdUfRnjYUG3dM7r ShBWM3p8bdIT0D5KVl8pDUT0ud7VCusk8Muzq3yQCsSMXdwOinYKFLSs38jU BaAr8qTd2SdpuFLntx6rHIBSkbm3QakZ6OK+d+lmjT96q3eM2ApkobcgxpFb 2R8PxzdfnavPBp3la2rrih+iRx34JINykew23ckW5Ye+G8ayd97m44Tr19Uu HT84Nn53Lb5RCGsp/+xdwn7IX8+LlTpWjPhC1ZyP675oaM++4HKiFILziqc1 Kb64t+g6IH6vHDZSw1N8Wb4wyJFs2LhVCXFOBxJnoC/U2wr3G32qgsawcPjb V774Vy3pxHy4BmkpYswqVr5wMCzVaib2iODLm3Yqmfui9KGAiK0RCaNMd39q E++tbVfu559sgNk/VREd4vzExgOLtd1NqFb09FeJ9EXUIcvzHbSt8H7pIy/d 6gvhB+QQrV3tiDrQnJ79zxcxtVaL9NZkCGny8uZL+RFzdhf37v/9P1PR8VDC xQ9zASI/Xzwi+oojlU202w8W2xota/91oU1X8VfnjB9C1T5zPlDsRtYpteDJ X37w+5n/wDO+GykXWKa0WPxhtPKMX+pXN14HjE5c5vMHZII2Wd7sgcWZzICA U/7Y7WERKfSxB3H7Uzms1In7mM99/+9GL0L5+mP+OPvjhznpVOSvXux9ExV0 +pM/lnOsqwYS++B+66c1x6A/EoXHlt+p9IOy12c+dksAmMjT1LdMA+hh6agf kQzAJs4U2+TiAQR7ZWpF5gRg+cXtbgndIaR/Ek7vEAvE9xM0wlHbRqBwgDUz sCoQUT5N/45qjmLjxuFTG8pBOFw0Z/395Bj+BSlSDq4F4bWAdYLBpnGcml5j Fo8KxiLD1g7lDmLurHucVlcMgVLexPXEDxO4OFrq64hQfHzD36PmNwmhdmv5 Man3OFktORtlN4Uq4esc89fD0MV5aGqXKjE3t9jFsJuE46JUSnTs4Rk0pDHU TIdFwDd55Jbvwgycrwm9Wx76ANaWV1Em0bPw0ap72X06Cgwpm2u2ys3hvOsq OZLYo6a9ZR69HZmDk527zn3zGOT2345OTJ5H+KBTx3LiR9w8TZ+RoLyA//g0 j8WVxcKBK7dLhbyA4sNetm+m4nAksuYH/flFtDiYSbjzJ8BrzG+EP2gRPvTM kxnmifDpJu/bP7aIPCXyI9bOJOytYH1tyk+F1DW2tkaFFDizl+xQukvF6IEt WXvHUnHniQcD00sq1rMqf915m47jHO8vxUVSccYpIWaNJhOHPL4WaZRToRm5 8e6xchbc4saMqARfjuK/xhfakA2+Y2pfeHupEFnwi8xQy4W0+1VfnS4q7J3e fNnGko+wr6lFlEYqWjbR7rw8XoB6ks+tO/lUPLb66k07UgTNhj0iDuFUUN+8 dDvOUAqNY82WtbZUNOhq92UnluP7pw7dSnkqHnFEyrfUVGKbjHqLGQcVuiGZ W77crSb409yXyu5FyMdrJowy10L2Jb2Orc8iZK3UeA2n6nDUpcBWFIu4ulV6 UGe+HvLLShdVphZw+uhoQTVPE/i74gfFnRZQUurZKNzRgm8KbAXfaBeQNtvi ztfSBiHKyo92y3k8aC5dMX5DhoXW2ws8lDlslqmK8brWgc7egMNN++ZAcrxj RH+mCx/deae9lGbhsSzxaX9vNwLM5rQtomcgy/vK1Yngneb778oIDU6Dh9Px bs2jflj+nNNgYZjGDpeggVG1QTgM0F1U457C7iKqbjv9ML45J/iLyU5CR1Gi hLNkBAlp1B4PnQmwzuy0iCkfxWQRv4iEyTg47sUNPCX401Vbv51nHoxBKbrV Xkd1HDEqb1/LOY8i0Py+VCXLBITqTK61nhxB96nNjPUED49sfTTYeHkI4u3u yuceT+Lpd/6qZKkBmJCfON3cOQW1a0ecru/rQ3u0kURC+hS2t78i+c50A16u DK0C0+g3mKPr2NKFVmsD6HtM42j7BAubYAexF3TWupKnUXV56cqWUDJecVV0 97DOICmJN+LVlnaEMn0UeCY1g+/2Vx13/2nBpYM65CjlGdz/NB3M4NGEA4IO PCn6BP/d/11/K38DWHfnZPsbzWDr7l0Mw6Q62It0UI21ZvBr2XLj2esadJK3 Bz64MgPOE5yCkypVmDnI9WWIbwbPZ9dc2ULLkaI4GuA2P433AzXc8aRihN+z 9H2bN40D/ZTwmZUCyJ1+UKBuMw2hS+vyP5TzkCI0T/+f6DQSPu6RDfqSDdpe iS3Vo1P4Grg136I0E0bbt/VYekxB2/yO9hXHdFwqOqiyS2QKwyIhtY7fklGe 9d+kDWkSTVp7VKi1CWi4WZ3nrDEJFZfBtOc/YlEgsZ2D/8sEUm+fc2d0ikF9 nprwGfsJzB56vb06JxJHQprpIhknYOxWvM6/EgbfaztFj/mN49mJhhTznBDc Md66L4p7HAMn3tBFjgeiJpO/19x9DLrLi3QCv4m5oGKD0B+jmDi4N6Bvrw9+ qbE++2o4inV1SY6SrV4Q7SV7XM0dgVrwGfbTsW4wybD5+/rDMFiO/eWpIrng 9na7VP23Q/jBcHjJS+s1pD9wiQU4DeKm0KkjJGVHsB6kKr92GIDoZr3tRy46 QLwqrOSNYz9iz/v9+6dkhxUaaiXFsw+UVoFvX3ttoDlOLba/1Isqa3PZ5XVr UIrCK2I29WAXxfkCe6olGBLIFwR7urDtPd+/l80WiEjy/lFV0ImVrewXazzN IC5LkeRL6EAD4zU/022Poa156GRbDAWuxXT7Vjab4O5CN416ChleDNdDH2ob YbFR8aZ0RTsOx/KZGTMa4v6PnZsZK9ugEo3q68v6EBc7by/F9RkyU2v3WHbr Q8vjpeBD0RZUqlay7pPXQ/8+mig6wyaibvgXnpfr4hFLSJVWcQMOfNjdJGik i8rWdv2Gw/XYMrkpRVNGF4J3/A/FZRJ1OdMfxHeNeE8Xc9nkdi16TGLV2mx1 MddK/pawuQY8l12mf1N0wSIryCSpWwXZtDExYR89/PHcJFzeUIEyh+S/baH6 OETn95l2WxmidlDPqK0YwCY3RD3AtxiXXVznviQZQf7gLdGL8oWwEmF/71xp gkKmn9VSEvlwvfJgmvaqKTp2XMoRVc5FpPq7glYhCyQ//7RdqDsLAu9ibJZX LFF4+wPrvOInjD7aOrzF9xloNIR9M7xSsdabULpF9AU+6btuK/4vCYH/fY+6 9s4RBkEL3o5m8ahRjNkGNResxVHF32x8RETiH962Mx5IZ65m2zsaDevsqRPf TX2ww+zcb33BSFhITGa5EnO9RU3ATWZnOASkK764fA6Fxd/uI7/sQrElVIQ3 SDkK5B89sb/zg7Ht81J965ePmC85sSJ/JgiPrV/5vphKQNY34dkF/kAIP7rm PE5JwQtX7orPZwKw2efp2aePPuFK0tSlSlN/XNhipn9ZLxujixIcrY1+CNul 7FL1Og9ivzsbpOT8EHiE+UIBXxGhl8fx7aQvTi8ram69XoaCqKrLJtG+SGil dxJnqkK+uwljlq0vIu6KudyorIG+dayRPsHvho8/aOPoIKHo5jWhHEdfXLwi dKrhvybI69GyzhHnI7eER2efa8XVbHl9SbIvDrh8/xN1qh1VDa5eFmx+uM/y lX5hiowrYaSuBw/8sN/8hPW53A7c3cfvtVTpB4O0cUvp8C5Q6yXGt4v64+LL VW+60B7w9TJtK87wR72prkBJQh/MmB4orEsFwNg0MYKxZgC/6TYxzPYHYMye 5Rbt7BDuKi81J7oHwlhH7c0ZplGoGp1++4jg65zPrO8/5hlD0P1PgZbswRA9 0PRvQ3gcWQbMWczfg8EtHr6kcmYCxUXOguTNobjA+6YwW20S0zkn54xOvoe5 le+hfospPEt0fbh+PAxHFaiHAmWm4ZZxILD8fDjeOB/bNs80g5YLJ14JqkZA qFGn71TNDLg+yFLiXD5g+dSCLMOTWYiv32WqroqEprRT06mdc6g6zXt5E1M0 otxUxKsS5rBV87k2Y2E0KFy4PHF8HryCSumST2LQy+Mb9S1lHuwHvlxcrfmI fPnxRkW9BYSfPMXxcSUW0Su7O/qmF6D38hg/zfl4aHGK/31/bxF7kpYdr4cm IPV6AckqexFSStlnO1mTkOUcGYF/i1jy+kZl+pCMoUzha+UXqKhiaRk1lUvF lN74p3fmVDhpMJI+bktHTAcX2+Fggg9FfK5/uJIBOYflnp5sKrboKtTKOGRi 5hjZp4pE8JXHNzkc/bIwlP8icpRCBe2m7ce/F2TjV4f94BaCL7H4pWblLeUg ajY+43s3FXQ7ZP2WkAcB8Nw/QfAr+6d2HmOx+XjTN4CztVSM0acFkXkL4ZjV OW+YQ0Xo+UbuiN3FCPx9KeJqKOFv8l3NiLOlGMj6qf7uGRXRAl4Hyp3KsT1b RMtagQr1B9Jn3zpUQr332pldBB/U9U12WKNU4ZgCzTe9hUUcVaJ37pCpgemh BMOrmYtgV1cyXPxci3WGlRhns0VwTQzO8diSkB135G3dwUWID3MqGtI0YOD1 dsVnYwvwadDUco5uRJ4m126TkAU4N1ZUfFJvxozLfw/l5BZg5rhdLjG5BQyn lKs+Mi9AJIZcJ874GQf28CXZNszj/wADmBvj "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV13dcjV8cB/BEIg0qRKKliFKiIXxKkZZkRKEkDZpoSLSUUtJeSntLe9Fe tz3uve29bkNDRkak3/P7p17v13me7/me85zzvefw3bG6ZERPR0cXSvz5/390 SnjJ0BMKdt3+ZqltTEJv4o9zA4R/2ZSeukZYSLR8Tx/h6suywrqET+YsuvQQ 9jlxLlKfcJXtztVuwupu0hImhJlcZ4b/b2/32w5rwo9ej2n2E974yKvSgTBX 7u2V//s7X5w77Ur4lEEFaZzwpuOqQl6Ebzdf0ZohbKHccNmH8DEFCeZFwgYp SQ+9CU+sqi9/I9wwcT3iOWE9Q172X4SlBAYV7QifYP+r/JswVy/1uCFhNTLd hx+Ed8eoXlcnzBv74udnwtKMdKnHCMdtCVibJlzBOn5KkPCOCSP64f/fl5h6 tpOwuDsljkJYMaZWeSvh+fLBMhJh7s/Pzvzvj7oC90oIazT1pXIRpvujkpVF ePVQj4M44aveAnpphH/fzrj+//xqSpzLSSfMLrJRxZPwttVCoQLCg0fedZYR 1t5L3tFI2K31ndFXwp02k63/z9dx4SJtDhOiv85ouf/H4/chgFWEsPTlcdJW RwqYpFgpRwmr8lrdOUTYnEvw1f/tlm+10hQJk2UdxdkIq/21aNQmnKvY/WWU iC948GrBHcL2JDbXWMLt/t+ljQhbWDAEXyTsKrwl+Cbhh0K/3y0bkTB0O6BC mbCGj/3fEMIF1VXJgoTZzN+TjhH2ZLbavkzk56HpFz56l1hPGwNf/D8/Y+SQ pgTCmS+29ToS/uNie8yL8NcHasJyhGcEdgmGEr4kH+S15kABj9drDSphSdee N+2EW/KutCoQ8R9/OfEnh7C1CvXaCOHd2UFxGYTPN3nnJhL5hgTO3qgjXCuY bPeKGK93L4Pv//GOHR7IcTIloZxJe/cNoj/zPhm9u/dI+F209LiTcL/NfJ7A fRIaVzda3yXGY7Ox/0o84eBRb3G6pxRoP3pOqyd898FAewRhDbeWeRfCEquu B/ieUVDiopNeRcTr60/Z60E4mu1IphfRn1LMw/OZhF9WH525QeRTllJFLSB8 KPUO718i/2PqOnvDCMdeSPxtS4zXTItpvSbhisOqFX13SCAnv5IaJPpLvib2 64QBCde3ZwaBsMDLi5VZ+iTI55eKKhH57tvZP/PvFgnbhcOHdxLjKRen3q65 SUK3sR6t5TExfhLrhUOElajVnI72FKgcJW/VI8yqLJVw2o6C90fkGuyJ98kS LOZSthQIuTLxeBDxy0Tq37vaUGBk9TjDmciH5LzZ7BRhvtS7vmrEfD/w6/L9 v71GcY9UITEfZDEeul3E+0wDT0KULYn10mPEzkTEP/N45evEAxI6KmqrLhP9 py9satW3JeENC3vKEpGf7cTLVZ/HJHx7uS73/3qyY/xUkLQjCWsNJ3f8JMb7 66zSqsQzEi6vvxws6kKB8yTLAXsnYr2UpdFbPKeAoWEPczTRfkDmgpzxCwoW t7Fd139Cwt7wcZkaLwrMpjhdE2xIUI5QVhPzpiBSW0TZ15yE6q3WkbqEez/O cLvc+f/7JmmyvKRA8EDycb5rJHCXM54NJuKxvYlaLFAnYSBvZHbQjYL4sNeS 78+Q8FD2Yc4a8b24BYq/dsoS8VJVyWLEeIJKBI/RS5LQfyuFt/ABBU1zLx3o j5Cgr75j+dd9Chi1nhb5iBHzu0T33eIuBbK5ieOHjhLr0cjrrIg+kb+nBssB Ip5wyne2fl2iPszP3y1TJEGjWODV0DWivrKmN5G0SFDxN9X31aZAVeRr5RSR f91qb8Yxoj0nqpXDw44EE9HEY1uI90sevjBr9yEhIG+SdISI3yYnolIWR8Kt l0lXEowp4Gx9WL2ziITlexwzStbE/mhtvODRRNTzfoHuNmJ9jdiTwiL6ie+7 tLza4k6BsFmr364JIv5Qnb/2awrWioZYW2ZImPQzYJIMJ+a7/vE2pTkSEieG VvniKXBquVXG/4kEh3cdOwffUXD2/s1ibhoJMyGstpwFFHy1v3j99wAJ6YlB mk/KKHgitdM5to0Eu6Ynz/Vrifp70Kafr5yoz+nfKn81UuBwsddjNY2EeJ9j H+nbKFi30s5hHkgCz5uS8NMdFMQlqR2rtidBZ/HsSRvCR/74+1vrEuONO+pq Qzwv6J7QRi9H1OOlBWfuJgoKrMPzeXYT+9+ZFHaigoJiydlB25k6cOl5x63P ouBj7bB9X1Edsrs8/coiKFD7PdIs6FOHODdt9o3EepSssTuhblSHjBHxlY47 RH3YVK4kpVIHtp7jrwwUiXwkLzGGyNahOriB/bQAUZ/2mxdUytSB+YZoyt4N xH6YrJENPl+Hm/Xv/3ItkHFmt/3Q8Tt1MIj8PT3aS8bf5NqoXM861JauNJo2 kFFqvVb5r7gO6eIywaGlZNAFS6RmLNdB2M814GQhGZwmXxkmT5Jwx3qrPzvh /SzNN3R9SWh6UKSXRTy/7XbsV3Vi/r3bEnVH68kYUx2WJEnWY7Nr+4AB0d86 foNVA/d6aBxI6VFaJOMj/x5O5a56WH5dO+a0mQL+kFZbI8EG7JQbOTl5kILR oSV6J6sGmNoMbzqsSdQr3RBR0fwGdLM/NjCypIBl86t/98YbwKL06/6iHwVb Ozos7ZkawWkbGuqYR9QzT1HZM4caoSvW2pzXS8F8c2JWhWIjftymbhFfI77v aHTwt0uNSIzaeMVRiIrmIvv3P6414uhugcZhBSqWQnlFtlxtxOkMvjfSt6h4 Zyh7J169ES/6Qm0uP6YigvtatvfpRszdvsi1GkjFKXch+SiRRqhFPnz1N4OK n+eLmz5sbYRTekLHtxwqfC6rPP5L5DeU4vJ7rJCKB1yvQzYwEP2VsIWQSqjY 79PIQfnXAJc6Fom4Sioorqszd3814CyL7/ieKir05LxFyn424K2TqEM44RWW wS5Owl/uk79zVFMxZf71k9mPBpS8HH2nRXhD9qLmTsIVywdu+hH+/P+/5Qbc Kb202kI44Fi1hwVhq6CUMKYaKra2vNHmIiydGlPuQVj2ocR7i+8N+JW2v4mu lopdDEEW1d8a8KqL+6Mj4enAirAdhK+TqjgVG6lIuprwC/MNqDp7TWStlQor 7w/ZYrQG1F7/55FFoeIxo1LD+FADmKU+5lzuoSKz6Jn6zW5ivNf2H1dZoOKi sVrpmcwGnLJ0/tO7rhNVDbe5qlwacBhJss2cnWgopV75qkE8z+ZYOr2/E8zl JcdXtzdA1O2WwY9jnQhKfZPG2VePm4Ec4sVnO8GQ5TGy4lSPBxsnTOu0OhHz rmZ4ZU89jNrY+qKvd+KdizrLah4JYSzvxtt1OnGI5tPGepYEc579vF+vdCKu ypBTn0zsVzX1xWyVTri77uyS1a1DyAZ9v1TJTnyPinL/01iLr+Yj+vREfueO xp08K1uL+gs1p4s/UUHalNPxNr0GTAnML9eKqJB7dPCnL28NLMsC96g9pcL4 Qs1B/7fVYNEPC1KVoeKPlNYtesFq2DEsxk7NUyAu2PJ8d2EVbr1YF9sXQJx3 Ww4386lXQZtUJtsmTkHI1eEBl+VKeDw+EZzXTOwv4+YWw/xKZJWZ1QbfJSNY ju18pjfR7vXG4cVqB+4E18lsfFIJg/2lLqHhHYgKZQkdfV6Jd4+5j5ZLd6Dp s/h337RKHOFxL83+0A5vhtpQpflKnHi+lHqcox32/I0sQhpVeBNCZy/k3IZb Zqmlp1urYCC52VCDrg1fftRsdLKohuTHh8zCEa0QZ++UTRargZ5FRP6MGmHu ykLJbbV4rTK17Lm7Fb11z/XktteB30WytXpjKzLo6f7KnyChucl6gzB7K87b e2kxOtcjf5+rzPGTrUi0WmSmdDVgyuBk/6JHKw4m/rt5+WwTtv/K3HF1iYhf 0Min29iMjn8pWueftgFJHuoWN1txYvxoobtIO44khfuU/WxDXsL1hsg/7Tiv xMUWotKBpbtL55btOzD3xWf8PTsZ+2aER+rWk2EkQlL+QyajfUogiT+OjNCd 2RpLrsS95KWRWDFRj26EWya17KEiVqrMaIGVikMbHFVbo6hwsXbQ6xiiItni Y7HeXyrCvZmC/33sxMPWpiQNqU5YntEd80zsAqM5m+l3Yp32YIdfc1g3Nms7 0hkJdyLnz/d9mgE9cFv7Qw4g9slw7fxyy81eJMnUddo+oOKyi1+Ng1AfDrke aFKYpWCbIpNW1ac+nD7FT88NCvYrZXXeTeqH3vGo3rFHZLgndG+w0hpA7CPS nssvO7Br5C8dY+sAVu59jOmzbkc4k7uOjswgvqr0XRDKbMXSribLOb9BHHw+ esa1vRkhZ1aE9nQMIux7YdOf/kbcrr4t2rE0iEmelc91kg1QXn9xv/zqIG7d E3He7UmcJ64Nfo3+NohiemrycF8tdDuL/Q0pg5j2t6qVlqhBrqmAmXH4IMqP LufdCqyCfsa9TWtKg3grzrBqQF+JdhK/1t7eAST+2FM7uqUMDLtTf5aYD8An W0JCoeojmGlFpQ++9EPcv9YlPqIYZ437VuVM+tEzWf42O6wQsxK/L+m194H5 PVeIcFk+OD4s1Fw/1IccNc7dVKY8/Dqa/7jvaS9aeEyF37rkINLzilFGXQ+8 oh7OpfJk48usn246Yw+8a6f2LlS+B2Rcv6QqdYOrRvLzjtfvoMgy/MTcqQu6 0rZ1x6PTwE0KKooq7IRrqAPDtfkU2Di9yC5dpKKx0ei11aNkbM3pi9t/gIpz 30fu+YklYbqme98lMWL9+Hzctb4zAT3e+gpeJ8iIcx2Wbi2LR+e73e6GFzoQ s0vqhuRkHKY4FGSkutsgdYmhOEc+Dj7V+SU8Aq2IdPrL/qs1Fkzl7e5p7s1w n2Gy6feMhaBJR6PPn0ZU065dPGkWC+Mf9bmcXg0wTPycsmIbC/afQoLKIvUQ +tzZ25MciycJGz0+jdXhbP9Kyv3VWKhfZez5c7EWLb8cAn+kxYGfwjNwb6Ia 9pskI6Mj41H67ddaeVgV1pZr6273JOBxacyCsXkldD+M/jW9m4TWtNVuz4py nJt/urhXPQWj61Tyn46W4kfINd7Tb9JwPlRGNUamBFHajeu/3czAZmuaB0fd B3i17b78IzELRw4ViMs8L4Zzu9TvtuocRLzRqcqwLkKWOeOSGVM+rrBUil3x KURbYImyS0Ehkmas3K+SC/Cvxuu6AvkD9ux7Tt6tUIB416/NIWZlSC2+9PVC Xz4SdTYHKTdW4sr7psT+8HyUDhy/23mwBg9b4tXGnPLx55ewhOFQHcx7Ln8o 887H4K6dqQ4zDVBSXxnoyMzHmBSzglRQM16yCldqf8rHN1OW0hi7Nsi/7GdU OFWAa+NqYdENHZBLlrsRnFKAxxIRa2tWFEhltMmYHiyEtYV13dYjndi+7uDM VHUh2GRYPvrQd6P4oUSQhk0RNr2UmNKa6kGRG9lm/lQxXuq6bnbr6gNd5QUu Yd4PYFY004ppGkBe8ZZoG+6PWEvcx1NXMQQNibpq738fcYq2yN6hMwKZfQ9+ On4rgXdQzdtDdqMwKr3tnb5Sirq6/FPMJ8ZwXpNe3o2zHNMFH7kZfo7hcJvZ xccKFTDmO0tX9G4cW6KkMxkUKuGkJXbts/YEsgua0w3mKpF2ia0h4+cEhkYZ XU91VCFTookuPmcSGxt2n9hKqsY+8+9PYq7TMB3cm+vUWoNG7j0My3M0vLzI +V16uhbkxMNDN8ymYHgjwvo7Bwn7OKPlaN1T2PBHmtX2Sj3sg4VOTotN4yZD 32fXtAbsUucdnn00jZztR77PcDSBGluuH5I8Df5f9X2Owc3o9ywoj6+fRn13 +zLL4VZIvCiraOuZBheZvzFBqh2/X1lEjXVNw5Ds9zMktwPRnlVCsWXTuHfg rpvjIBnfiunm/vlNY9ip2zNiFxWMP8y/l2pMw35L7Tfz+534tZlxTu/nFJSN Ne9rtHfBvzpBQtR3CiMvW9brn+8BOSn/2DG2KQyQ2NldunohtO+08blnNNAL iNVI2PWjUsbjw1r3JH5k8HM8OTiIUgblzibuSeIesmOldGEIHTu5UmZUJ3A2 woLDu3IEDo7fSI6G4/BSejHPFD+Kk+xJ0adDie8lbr4oZjyG19S9JiwfRiEx XafGeGgcew3oHjKGjWDTnS0h1ovj0DF1Xmx+M4RCKanuOM8J2LeQ6mQXBqCe OKPisGcSO1t39a+I9GM0zOflTPokvCbadf5c6cXh44UnHcVpoFi+c+ky70ZH hp2tSjoN+mOJp7bYduK3o4zSx3VTuKoZMm/SRUH4+d+RZzSmsLTzyOBrcTJM 8w9GOLpOQVFQKz43lvg96TBJdE6fwufI4CCN8RZ8O021GiRNYXDzaNStQ03g M0/y29M1hU2K3TFMbvVQmXq43EOdgmpF3B3OhVroXcs721Q1hcrV1fSQR9VY tVlxXnw7hSH9E2Kpeyrhc/fproWHU2D26VtHji+Fg8lRJjs5oj3v2rf3Kh+g 7N9W/+4nDfHtPxTGjhbi9+1EN6dCGlYtZ8996M3DieuuCe4WNPTNynNdzsrB jJpi6ykeGr53ee+0scjCy7/Th86SJqF4kyFXcvAdJJ/SdqjfmwSv8Hr7pJRU CEoEveZgnMSdamfJo81JOHlYRMEodgLG5u19MgoJEP22VsAsNYGjZfPmd9bH gYWxTZjcMA7jI9S46e3R8F3qsLbWGcdTpc5/ovFvEMdRKRs5M4ZP5OSvYtFh UHvu9OCr3RiqI9h0eFeDwRNz9gsDwxj+uJau25EXiDMLh174OYxil0x1e7uq P7Euh49aDo/Arjxh+M2LV6Cj/5t7unUYIp8Zk7fvfgkh7tkTIZVDyOla5Y88 /gJnra7+PfWB+L3VeZTTV/0cFeJsk51FA7D4+fEwf5YrNG7UabWW9oOe02+u ucsZyTUbBPjS+mD6cvNSkN1TnDMu/akZ3Yul2bcyOxIcIOnz3NQtqgd7NskU Z5+xx10xZem6hG7MXFd76qpgizfm8WFs+V24FXa8wd7vEWhaF0+cb+3EX/Gt 9wP3PUSyl+Qllc/E/cnmn47StDUE1LuzI0YoyCLtUuKXssJmhz4evyEyRm41 dNhxW+BYqa/pu5kOyOfwteubmkGH59nje3QdyFJi7Xy/5T6KswVKXM+3Qa+l jHv9L1Nk2L5uvpjSgr2wNfjFb4rLjpHfj+xpRvDq7uOP3U1wKDBSJEu1EReY QyIerDNByDGGd2Lh9cg7+ElHpsoY5T9L79XSk/CzpcLNqcwYmtY8Q1FetViV Mzc/8tUYRVzyvH+Fa1DuVnRs4y0TnMzV0zw9UoVrn9RMz66awFZO8HZPRiWs prdnvqCagimUM1PoQjk0PaxDw67fx7Za7T+WPiXg3yy1IKplDvk3buv+Mn1A yT/FMPomS/yyvBjWSSoEu1lJHu8naxwyKf/o+SEf3lLVr/5WP8RH9+OX+Idz kTAxvXx71QaRnOPn94vnYK4nZ0Yj3R7x6++n/B19T8z7OqVw0lMUrn+24MiY jtBkn6Tfpa5I6VTrX1+eDKujhzTUeV9g5dXS8ucvCZBl1i7WHvHBim26vnZQ HCgx6lu/5gbggR158tbBGKQnO8Sdiw1Fg2R/C1NXJDoeXM9/yf4Wy7v1Qn8l RMCLpXDZ42MchhaOsFmSwpBmdlIgMyUJWTkBMyEPQ7E79vI3+ag0WLOeNNzn FQJRVo1p4bPvwavuMtBYEoxtl09cPvMhG5PpTNfFmIMh2bdFXnp3HpSr/cwE AoLQyLdPceh8ATyvSPK2CQfhwUyla3peEbpHxSKi2gMhspPaGqr/Ed+mvBY3 ewXiX6PzlWitMoze2G/49mIgDtapFl5SrkQjJSl/9kAgeElOdO9YqnGAjid4 mTkQjhrHK349qYXoaY6YacZAHPAZTd19uB6uErwHZzkCkaf6+sj080ZIcSQn jokGYtcl89s7NrfgDS1kd9TVQHxZ0JHKK2kD+9JTyXlvIv6Wi6GerR2oVRzd n9kaCA5jR+nuS8R94mRiAoknCIxbXNpC56kwf/ish98xCJfN2B4JRXShw4lN 0mQlCLdjbIW8U3ugZrjDbverYGx0M7hK39yH+e0yT9TEQ0CPNpmoPwMIPRrR s2s6BC21B1I7jg0jzV1kfWF2KMoiWBVuyozCpUrNysA3DGu/GCITr4yBmX0p 3fJZOBx9R0VUzcdBvkFzVXCNQGbmhWtuTycQSl6mt5CNRIuuekLVFho8eTHN fiISyftFllSZibr6d4pcTLi2g022k7Cly0K1nlwkJtlXn91ioeFi7aWPG05G oi3+S/kUYZ7xHcXphK9KL/yxYqVh2+ZblT9ORcLf7ouFGxsNaeb7xs8gEoNl rB3BW2mg9urx+MlH4mftGf6UbTQMhxrMvNaIhMrec3O6e2iQkMt8F64bifMH TR5tEqZhk9fd+xkmkXAXXMzJkqDhbNA74SabSPhul4y+eJKGCeUn/7hXIrHJ 2GCDdBINGeEGSobPo7BzW9xnty1TCJCVVXu/9S1UNT2Wuaym8EF8dY0x/i26 bUKej7VPwenA0LyrdDREZUaHGkSnMcrDTnYUiYFMm7DtoZJppERznFzjiEWb RCPffoUZbEyuTTzgEos0mV3fw9NmYK+rdmTzUiyKV1bwm3kWJmdVO/MN42AY cDNW1WwWL2MYreQH4nB4JIoUXjuL671PKqq04xEscD9rmesTGhzeL/7+GQ/v cy98FZ9+wtK53+rNMQn4zamcwd37Cf+4JIxNLiTiyuEi58rDc/h3anYf/YYk kE+fLnF8MofaUsMacmUSaJL1vFFVcxAeW8fI5pGM+rlj+Y/o5yHFss44oyIF KQV+bty687hWdsWNkSUNmvpJQoxJ82CofR7PbJmO4DOaOTqT85jW43YonHgH i7qnlw7sWsDvebxmtXoPUausP7ZKC4gpVc4U3ZaFA3/DCsVNFtBqbCwWbZSN dRx/zou7LcAkyl/G4GEO/kW9SA4NX4B5mc6XWP9czMSu86ckLwB7J1ruVuVh z9mc6fL3CyjdV+5cw1CAoECFz5yZCygU1rGc0CuE8w2z/VapC8T9dNP2P61F qH9gKaP+dgFZGoxGWlc+YH/ryvg23wVoXgv6pvaoBIq9b52+WC8ghRq4rbi8 DJpqeywVNBZQGbSe9TNxzoiW/eSgwU/ELzIDt00VvA53XpRemsduzxT5/Klq xJKds/8UzsNl87qvCXa1yHntYGpnNw+bHcUOM/tJEHW4p2skNo+ZIct0KfoG 2CvsvX1ncA7avRl+7eubcGxgY7+/6xy2iO1wXzvcgkU/usBLPHOY7WK4sc2l DUNKHgPzmZ+wuuPGaqxzB2xufv7nefwTcd+lp13rJoNpMFpALHsWW02KrvGf peL04WlqI88scX/c5djS0omulgunBZ/NIGeHvdWURTf27me+N9EyjS7fv/Pp B3rhJEjL8NoyjQ1hjOlDf/uwVHpig7X0FBB5tSR6dgDc4o93ky/QUDFcIHMk eAi2LyQ9ip5O4nZJESbVR/BlUpF1wxuiPnzMCS3wGkWEXewe/6RxnHrcs6hg NQYl38+9p6PHEJ4hRaoQGkdK4Zqte+Uo5ARm8/cOj6ORxSWQPWMEeme+V4cG TeBB1wK7QNkQAi49uPhZaRI2z18myeUP4J/0fjeTz5NwqLB8szWQyHNQ0l/Q loZXwtEaR0t6sH5K+4T7F+Le0ZcR0drVBWOx7+R2gym0hShEWU9S0a1tJqWb O4W1c2cS2M9TUOgWcKj3xxQS6ez5KlI78ELqysAXwWkYbRmyXoxrQ52T3nmu 89MwiFnRkPzZjNn+wFdretNQ8ODiMdBuRNGzjWdumU5jkcfmNH8dCUPCG2N+ 3plG2r4DRsEqtZArzFX+QNwjjqZHibN+qoKViObeRuFpiKiyFIbpVCDCKoCZ /88UzksE8dkPliBhB32bc/UUwo8XTV+IKsbCCRtlFqcpcGxP32b7tgDbhar0 pcSI827io6yc8VyEmrJFpVBpYM1Ke8VukY26Y3J2561o4MDkq3r7DEzzHeoV p6cBYjgQHZGKbfs/Lb3xnUTyrHSzrEwSSoanTlPZJ+GfMLrApRoPPoGYRyzp E5B0/+UVciQWyrUnrmWeJr6r6Kc3X9KjUK+Vu/8OeRxvjDX6a+5HQFDxQ2HD nXGi3jTRSweGYhdF0PbRtzEULmbRP98eDD6R1NuTz8cQ6+l4J3+WOC+wdvf7 co4haq5PqnGDPxQ1OX4t+o9C6QatK0/4FVRKDhkXs45iZ5PO2tl+LzzcusHr w54RkJa9Lc8wvUCTn5iRFe8wJPh64zclPgfVxqyb7+AQsuX/nVkNdcWs6IG7 p6UHsWwu46me7oxrEVzbdqgN4NWi8evQpKfg91Hw6jjQj8OfM9p8zRxgaTdh oLu1D5zB6eZiZXZYJ5qV1rmuFydWHTrCXGyI+8qI8ZnVbrAo2igcjHuIyUvy nX7EPb3M+W/WPdYH+BiysjV8WxdujjeNa9lZYUpWJ/SgSCfeNXJyxcpaQHMm 3H8XFxWPPskHii7cx22WwV/9HBQ8jdaTyWO7h1HJktPTe8goRssbXV8TrE9L Lck92gHzPIkRkrYxlq4MVeinteGySMvlTbeNwCp86nv8hlZYMoW1dMbcxUme 2lQuu2Y4aL4O/sp6F0fdE3Ky/zZi9JpkaEOKIThbaRmNKg2Yaz5Quu2mIWwp QmbH80i4pjjhWXbGEOvuKp6Rkq4Df+KupsFrhihJXlkS7KzBXWc7evoIQ+wo 6O209qoGvfkOQzqGu6CPY3ofc6kKToG3Yysi7+K2xWVODYlKnGysn9urZ4TY W9wRz86Xwe3YiwSWbmNsPJxDY3r6EVIlh9d4y0zR1Ho6ZHq5CB9VmfnO8Znh WZC2lGlWAT47r0rzbbfEnWI6G7f4PLCyT57R7LVGg01fdkVjDvHc0/7RTY/A 6xt8S5w3G1dUpm8NZNrionX+vXu0d3gT/5QjPucJPhwi1xgcSQXrp5OfXqW6 IDPhvcMXxiTE2r4v9t3kgSdWKgGsN+OR116m9a7DG9PP9SN8uWPh6xZwJeFE APKC0iVcH0RBz3FMu1w5FEvlLYpnL0ZAWlZM7uG3KGzRr2iAURiCt5c9KPCN w14Jw9SsyhDo/KzX99ZMgs4vPom7HsHovVkpZHAuDeLtUisqmUE4tkGobmY6 A68ZHQTSvgZCbleQkP2LbDixDb6V1QqEutqjyiJiP3fydTwPGgmAYLhMrSRb AVR/TCkdcQrAzJfeU2P2RVjmma/1OByA+H8Rl6v4PkJEIbaV+5M/ypZeyw1s K0Ngn/xV10J/jFoYb/MXqsStkvbBiwH+aHSO1BKcr4In46Gkfjt/XFh3idnp Ui02MbSKrlj7g6/vMF3yHxION+ZKUZ/4E/M89JRRqxGnSNeDTYn3dc5pco9S m/GVH7Fe+f4QLVh9rOLehv0cAYGbJ/1x4mpmFSW7A3IpUQ8a9wVg8DiDiNJx Cs6e/E6XaRKA26WKHy63UeEvWlCeWBIAY7fDAqZPunCm9LuuuHggrvSsm50K 6MGv0uHYDYWB2Novi3tlffhuyUcW1QhCfcij1IafA0idoDNtWA5Chnf6+Gm5 YWzMeSS7LjsYb6cusbXLj4Inucpv+9MQbGma26tyZwwvKh6fv6wbipKtMsVf ncZheLD8K5daGE5YPNkyRvzOXNc8SFrqDwf10uDQAB8NKTmctzwHwhHuS829 y0/DA8HS3zyD4Th8uPf5AmHX8n1R+YT3Tc9etBOgISkUSmpD4WC137R7jXBG DffXMcIxwZIjnoI0nPytrsM2Eg621TiDiP007FKw7jk5Gg6BBHSmC9EwrvXC /P5YOCQ1mKRLifPq8Ph+MemFcBiM1aYbH6WhUz13lvl3OBqsX08xnaKhv/Zn 3NyGCBzVmR5LVSbOuyyNOtStEVgO1A+Wv0SDnIv8FPllBJhDrs+1fKRBM0+1 9fbGN2A95Xy1hncKTz/0/vF58QZnHHyFNrtPYfuk6aw+UyS+607Ze04S593g 4YjZgEiY9D4WOnRmGqf0N+cLW0RB8Pzh9MC2adxiaNdt0nqLoCv+Dwsuz+CJ uJqk2Y5o0GwF95mWzoCuRN6yfiwaV3IkTjLzzuJzEvnA+vwYlE8X5Sc7zeJf jxtL/LlY6O5ae6bYS7RT21p7C2MR+sqm9fvhT9gyZ2LAqhqHAH63gSMBn6Ds keuhMRGH4Mjk4/MLn3Cd3re8xi0eraGN4RaKc9BJ1CiLPZCAFLkqjrWAOUS4 XLi/oysBFRBoXeqbwx/+rYvXvRIxyVF4JJR7HoXiaWUcxL1z+ZHwcUWbedx7 2aAy0Z2MdQW6Dmcq56FzYjg2hisVGxJ2+XygW4BLhxyvmEUaXGKcFyukiPOh zeYB1650VDvuIekaLkCxa2Bj1KUMMCtsk3jiuQC6tlcWr2jvsbY96MfPhAUE 75UxfNieBZHj3VLHSxewLlBMLm4+G28/78uzalnA3If0i9b0ubj+uobPo2sB X2TlS4VE8qD673G2RO8C7KHiS72bjwPydfPsRDtxBmYOySuAP1W5Mp14f3uY 0+GInUW4wNKufadiAY6yZtQwxg+Q26y+zjCFOC+vG5ky4S1BZXXuBTmvBbhd Nz6+26gMgoFes/J3FvDM/rvP594KbHxWKxN7fAEnzzWdzUAVPhsr5hjQL+D1 gr7WyvtqzK/x0ls2zENRZOWLsmwtru1NQIDnPBo3+wV3/q5DUr9a1ju5eRha eK/NDdfjgMXQoevTczDes3zq36dGpOm2mazznkO3P/mqO28L/LxVBZb559Bs w8z1w7UNestVJYY5nxCmOM477NUB659P+PWPfcIpCalp1lkyapmytPrSZyFm 4u4UdIcK+43aN+M5ZtHcHceg9KMTjqaPYWwxA7Hnh57mJ3bD7NV4bnrhNJbV cq/utOyF/GqAfuvCFFJLCk/vuNQPRsn0g+u3TYF+4HPUW81BbFfcWqSzlwa1 Iyp3RlaGkKhamF2pMgnalTnJ6LwR1B0ZILnfncB9xw69nBLifMsqk+lhMQ5/ k2NGt+PG8C1M9FG24RhM5Qa67bXHwcryti/TYxRzTw84bNpCnKdCONuMpUZg WKY5olg2gaqk5F6+80M4tmY/P3d/EvHCk0G58gOQX5u6Pjk9ibELt9nE3/fh 7RbOGAuijkw0mTH7DfeCqpDNc1+fhi+5y5ndzL34D0K1p4k= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.2887499999999998, 0.17499999999999982`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.3087499999999998, 0.1949999999999998}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.19999999999999996`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVke3/7GLFVvsqNEYYxBrbEGOGhU1YAFr1NgVKxqxG0vsGqOCLdiw YUNEUbHhY0FUREA6gtKRLlWxoDd3reezz13Hexevv+S9v/fem79Yn7VnzsP3 nJnZs2dmT5MJdtaTSxoYGEwtZ2Dw739XLn1varw2Sjf+zmrdGDN3pdeN2aHu Q4OFq5a88WqdpY/wCOMl1c9dOi5M/R8snkbd7HFb6sPUh6kP+ySVeDo6/oJS +kxhuPVkP2X0LOcmhoG+wtiHG1aY/lOvYLHDaXlj0+buDhWmvMn12rbfDouQ 8jDlYcqXsPtiSmnbp1IepjxM+fRtdc8nm8VJeZjyMOWHTm/c9uHdBCkPY9d9 96X72QHJYoexf9XQtPWO8BSxw9gdX3ZwWzQuXYnf1/GXqbPCdc8WHKrceuIe xVJnNTh/qb8w3ws+tnG0Wfuu14Wp3/pNWuRGm3tSH6Y+TH2Y7wt3OLPxePkq DkpG61LpW64FKpa19nS7tuKxMPbb8Uapwx6FCu/aafy8UcwT4Zl9TZJSsmOE nYv25YxYFS9cIfzInG4VkuT52GHslLd3P/WiieNz4Wcbz80u2yBNuO/Ey5lp RzOUxu5G9/c63xY77xs77Z33R3uHeR8w5Xk/lNe+L9o//z+MXdv+te+T9g3T fmHaJ0x75Pdg7LRHmPYH0/54X3CNwYllYyafVJyCc0bMjn6g7C39znHX5mDl jceP1RyaJijLtk7/eeTYLbo6TTJ++Wqoi7B348Qfjvl6K2++t/XXPff/qP7s dR+GdcryV0od2d7Rt5qXkuX68tG5khlSX/s+qc//x/uCte/3vJluZkCrF8JF Ad+2GpOaqbT91Smi5+JInYnbqaEmc+YojmeCvv51fKhwgX+FFaH9Hgu7xa49 2m2SrzD9B57b9GX/wA63hW39/OLvVrggTP+q8NXBay/GXpX2BKO344LtXs0H XBSOiXK9cnmuTt4P+vm+9DfaD4yd/ocdxk5/xA7zPulfjFcw37Pem5SAlOxk aR+H6y6p3MwiU/5//Aus9RfoufFbhL31ZR9hfg+mPu+T9qN9H/QH7H0soh43 iokTPbR3fm9N8IsBjxanip3xhd+H0Ttpy+RtC1xVO+2P59GeeR8j1hVZ7tqc JeOFz3pdxgrLJHPGC5j2ANO+/MempyX+/kA5UdlxqGPJUGnffC/vktedJuUE qHzUtYrR/jjl2dPK470MQj7yV/3tDlnX75SqRHdsG3h3zR3p3z8/PjOufcF5 6R+/zjdLCg0LUYb09Q7xWvBQcT89oChxSIgyyzvXO2V8gtKzrq3HwcseyoWT IwYOCspU7FZWNm2/6ndljlGXjMvWL5Rlt9bdWdQ93LzqmojzWdM3CT8Zmj5u 3v1DwiFR2/1X7fAU7r7A9cSYr72Ed9hMSgjKvKtMN9jRqP93kbq85aP8Hf94 H6bflfaJrvFYOL5iasSz+7eEeZ/w50Gn651J9VJgnn8gWmd3vnygcNfVfaZM m/1Y2TRxfvdzNgEflbff+mjW0nqhwkYdh0xqtzJMuG/PqBm9TJ4IJ6aMn/B2 e5SwcUHKtMrmMcJPH3VqEz84Vvi1zdv26V/GC1scNz/r80Tlia1KegS4Jwqf W9nb9PTEJMU96vnULSVCxV+uCQ4wGTY2WLn8tM2ky/PV8o/KGra70OW5cP0f LM9szXiuXMqNW2fXN1Ap9Djtda2dau8UW/Xcntupwmvb25jYz08TPnTlszY/ f58h/KLSD6dHvM9Q/D8L2D8h+574W6PQw9tzTW8qq3fGGVXslSH9P/7zeh26 nM1Uhh2dOtx9spf44w47lpZe3DDpBv6W58t4omftfJXvRf+C+T3t99TOV7Ez ntD/KI+/btCvKLtroOqvseOvYfw1zPgE0z9h/HO7The+2TPxsfhr/p+XNn1j a3ZKlvKMZ7DWfwdWOVbv2oF0JTT3rHndS8dF3+CzdQKO1jotvOO77a8CQkOU 469eDxjoFa/cqHP+p171fZTVuwaZZx1LU1ye7N0ZeMxbaX3py2sTjdLV95GR cTQm7pRwQebEoIXH7yjTO4wa7b/UX54/aMjmovQGoUrDqab9ahf5KUv6rByT NjhM6TXeVCkIDFK6H8483TUqVPmx2tL2G5MClZSrW+p5+4Qqq7Nr1//t+zil dGLbDhV2P/zDP4X1nfQyRela2nhg56oOOu33nFb2p7i9H3yFmT/gPyjPfEBb H3/C/Jnvz/wZxp/DvG/4cnqdErqHQeI//D0iW51cEqSUKrGkcu7wJGnfIU6v p1qFZAlve7Zm7uD1L4QZj/l/8A8DKl1Pm5YQqWtzb3Nf3VBn85qVFvvUr6ry glbn6k5+FSLs3iq/m8fDUGH08LzqA022v/N4LPaIAakz3WIChX+K7bnyxdYH wmmx9+9v7vxQGH8F8354vmvTLnbGhnfE3rGpR/Nfxt0SznrYx+mrCeeF4/2s v57gcVGY9yHzJf332mO03fVhOQ+1/zgPSzKMvqkU1j60/duzqr+4/kO1zv4r VH9h8G0pr1vOt4U3vE32ORF/Qbjv/vPv49t5CCfOW2j9vMt1aS/8P9r+f9Bm hb/hw0fCFS75ZO3aHiTlmZ9hPzraKsnqVbDwM9uQjLFHwpWMPuGvKjwOk/lc yKG7up1rw5T4qScjX4QHK6ZFFT7vcSVMufHoTIfIuqGK6fLTV1sVhilP9ju+ 8V4arlw3scq9nxymFDZdvLnc/jD5feZ//N6SqqMSPjOMFL5QPz6txcVoxdLQ YmL70uEyX3QOMFztYBiuOHl6Oi/8NlK4hdNyt4TXkcpNx4Vve//xey5VrGKP 7omW/yfF4/CQXVei5PeZX/J7A27bxsXUeybc+/nC/EUJsUrnbZbtL0wLk/lo u0nffH3jcpjS8khhUZv6z5SI8tn3q//xPq77NnC4PiZG6WNY56Lnk1Dl0LYv 9lVrESfji1JYqnz7drHy+/hHfm9712t2Q3ap4/HZm8vnjZmZIOXpv9jf1rid 1bmR6k/rOq3N7VGQpERfbX3Db16wcj8/cJHLuESpz3yZ8pMz789qeEIdv1fP +3Vu8+UpitNKXdH2bQEyv27zc49HRTaPlRFGpt98OzpZ+bzWln4+GX5Kes9T 856sTlHa7F/9U1gzf6VnUYJpq9opqr/U+1ueH+ATkFGireq/My0dsyuUS5fy +FvsXZzDZiRf+Q/je3MnuxdbM5UfukQmrtkdKv3Br4nfT45fq2xe6PBZ60Bf YeMHi9pZFj5Q52sLH5Ycb+kj/WeAS1Lyd83uCV8a7elW8Mf3xr/6m0U/zykV LvGvfdyutX0CwyT+den/fH2ev7o+U+V4Jfcv8h/K/N6536PYhtY7Zfzw3Ny1 y8J6K4VDFhU82T80WH5/wraSVltvqZxoM7Gaxb1QJXbrgneZ+wOVYdculp32 h/86c6CchTIqXklMX9x9Zcp9JWGt7+8bA1OVJQbRjrbt7ig7vu8eV3FhujLn zeEv1814rISfqnx9Vt9k5WBIcLZ17AGJR6s9P7QhpoqbsrVHjf62Y7KUV09d p6f3OqWc+WbA7s47siS+7B2c2iZt8GUd8xuY+Q3MfBem/v1GfvF1vt4m9WHq w9SHiSeYHzU/9+K7GJ+nwm09dQOav40XDti5/m109efCs+wHnnBsmS5c0ab2 0P49XwiH7nmx0uBMjnCzDTbhUZfzhOct9Gzl6V0gfHtK/TUOga+Eqw1b8WRW 9Gvhcb0T2vRLeSt8toPF+mb5RcIfmp5++uHDh4/00N7QA6MHRg+MHhg9MHpg 9MDogdEDowdGD4weGD30F/TA6IHRA6MHRg+MHhg9MHpg9MDogdEDowdGD/0d PTB6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdHDeIUeGD0wemD0wOiB0QOjB0YP jB4YPTB6YPRo18eJX9AHow9GH4w+GH0w+mD0weiD0QejD0YfjD4YfTD6iL/Q B6MPRh+MPhh9MPpg9MHog9EHow9GH4w+GH0w+vCX6IPRB6MPRh+MPhh9MPpg 9MHog9EHow9GH4w+7f4K8TB6YfTC6IXRC6MXRi+MXhi9MHph9MLohdELoxdG L8z6BvEi+mH0w+iX9XC9fhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+i/MKRJ WOMu2aIfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0T/t1tFajj/n iH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9Gv7Fpi6FlbueKfhj9 MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Z/sNPpHQvL5ot+GP0w+mH0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRv+Gcq1DUvsXiH4Y/TD6YfTD6IfR D6MfRj+Mfhj9MPph9MPoh9EPox9Gv7n9+Rqjt74U/TD6YfTD6IfRD6MfRj+M fhj9MPph9MPoh9EPox9GP7wh6MvdLc5Gyno8zPoZzHoWzPoSzPoQ70t7/oD1 GZj1Ft43zHqw7Gfo15urVEwoGBmVLey9cMo3fo1yhRclptqbT8oTNh0864L7 iXzhBK/svM8zC4S1+okHYeIpmHgEZj6PHu1+g/Z8AP4GZvyFGY9g+idMe2W/ tHP3eb8pN9KULgl3ulsdCVcO71vX0sAgSJj9W/Zf2a/l/yeepzzr93w/OPzW 5sxS16KEKc9+LUz7oT72+HujCvu/iBU7zO+vdGl6rES5JLHD2I3Xpg++bJwq dhj79Yke72d3zBQ7jL3VIa/Q6sezxQ5jX7atiUnW+Vx1P0rP2P1WrP3lwY18 scPY69mlRhz1fSl2GPv0H61arwwrFDuM/bLVubWj4t+IHcZevlut6I5Z78QO Yx9usrhd9TfvxQ5j53uzHsv3gdnvZ3+e/sd6G+MjzP585byVv5YPfCH7OZ2i 9k1zH+0q62Ew+0dzGke3a9LdQ/i3+atmGXc5rGN/hvIw62nst2CHsfP78Hxn G6erQTHSXiPccl7XKJEovGDLFRffOinCNWeuslnVJkN45LFmBg2aZQuf2LFh 2KvWucKFqzNcg77NF+4zb1ApN4uXwrsmXBi50aZQOHFwHfdJY98Id+ixrGz3 Ge+EV7eJHV1/4Xvhr1tUL2/484eP+lulBVtOJm4IEV44cEeLB9XCheNa7D1+ xilS2LLk4eYOTaOFL0WdOLbA9ZnwtifDHc44xcr3d28cP6i0baKMF/5TZlYd 9U2KtAfiBc7TaM+r8P7xj/z/m3RbjnQuiBPGX8ItDgwd9KJSsjD+E/ZZ1rDo WLM0YfwpPGlU0snRZlnC+Fe4xP5hpw1b5gjjb+FBv14tkfRNnjD+F3Zeajzi Zo8CYfwxnDX9F7e9Vq+E8c+w+Q/JpReOfC2Mv4Z/7dd/lPXkt8L4bzi6s9u5 VnOLhPHnsEP69p1j94cpDot7PBxSN1C+L/4Mxp/B+DMYf8b3x3/hz/DH+GsY f8T5M9oH53doD4xP+BP8A+MTjF27Xk592hPlaS/YaU/YaS/YaU/YaS/YaU/Y aS/YaU/YaS/YaU/YaS/YaU/YaS/YaU/YaS/YaU/YaS/YaU/YaS/YaU/YmQ9i Z/zRfh/W92gvjBd8f8YDxguY9sN6C+2L9sJ+mna/5h8979WyR4sng/+z813/ n85zsf8XdDWqic9rdx3s1/2XrSF3XXQGdr6ve0eGy35Zw8/OnBxZOlb4Wr79 MKMGicIjg81K3WufIvzqXGn3fz83BPfvO8XUqW22sFMn3zXzu+UKpzU3jRrU L1+482cObU2GvhTeUObl+nLjC4XD8kc+i5/5Rrh5oleHG4veCdsHN9n8+5r3 wrQfzm8Ud55Ke17qU8878T7NOlavfcQtWzg+xiPEqHyOcPbhncNq5am8y7JT zdWWucIuVevuWt8pT9jyylWbgm0q/7BsX+jrpfnCBs3NHaeGqmyU2qjWzJsF wpccbgVF1n0pTHwBa/cH5f3qx0eY8Q5mfIMZz2DGL5jxCmZ8ghmPYMYfmPEG ZnyBGU/gA8sc5r8OUM9zFXf+Snu+iv6vjY+ajer9odI69Twk8ZKcB9THSzDx Eky89Knns7T733/1+SvGU/rLT8O91g+ZpY4HRrNv2Fb+Y56HfzfquLZDxbVR 6vu2cnB5l62yxNsJ33tezAlQzm+K7dLP7uP4i98jvoKJp2DiJ5h4Sc7z6eMj mHgIJv6BiXfkfJc+voGJZ2Dil3/0PJj2fMCAvlcT+6/9XTlefkz7R9bqeTCJ R/Tto8q66O+WrbsofGBIid2BI/bq/q+fF3OraRV3a1+MtK8C29n7aycnCDta dOzvX6SOR22bv3+5ppbqj2xLJjze/5nqjy7l9Gmx+HPVH5WNO7V8iKnqj4YE Vglt3VX1R0d1P31dsY/qj3LdwlYlD1b9Uc8DXSNujVH9kcOWA6b7p6n+qOva wMhNdh+EGzy06bh+k8p/9fmwv/q81199fkt7vurPnpdK2TbRI7DpVeXGpGWj albOVAaEVe99aYp6/pj5f6u+7nP3nc0o9rwO/ZP1Pfrjuq9yL4RPVnlXRnDH 6EE5Up71P5kP7Jqf3++U6h8sRw5fMGBnrpRnfVDmByVft7+epdY38Hly8WZk npRn/VDmC3bL5pm2V/lSux8L2hkXSHnWF7GPjv5w3nmhytMPxnU4NuGlxMv0 t+OLK1iYPYlT/XuZagbfGKn+v/eIoLzcnCTV3ydGuKZ/mSyc0NHJ+aRhmvDJ 284jDysqr6o1wWpckyxhi0O2ZUcOV9noTc2fNzdQ5wu5yp7I9Z1U/jF1UfCU Fur8oWfrd60nfqeyW0T0Vz07qPMJB+Nx68wHqvzuXveVDbur84vYyt7RdUep bOl5NKzwe3W+0aboy/YFU1R2cinfKmS4Ov9YnrF5Y+BPKqftnLn67ER1PuIf 9SLm9HKVm16tEzD1Xqhycrf1xcj9gX/5ebk/e76N9hG7YtCraZWylfxEh4Oj m4bJei7xCvER/h5m/ggzf4SZP8LMH2HmjzDzR5j5I8z8EWb+CDN/hJk/wswf YeIHGL3a+bJ2fQlGL4xeGL0wemH0wuiF0QujF0YvjF4YvTB6YeIb8jPQD2Mn XwM7zHyA+Jf4GSZ+homfZf1dX5/+QH2Y+jD1Ycnn0/cf6sPUh6kPU5/+Rn2Y +jD1YerTP6kPUx+mPkx91geoD1Mfpj5MfeId6sPUh6kPU5/xhPow9WHqw9Rn /YL6MPVh6sPUZ72D+jD1YerD1Cd+oz5MfZj6MPWJ76gPUx+mPPEf5WHsxIOS v6zPh5J8Zz3Tv7R28iVgyQfXx7Mwz4fpn9r8cOY3xAPMX4g3mJ+gB+b5jI/8 P4wPMOMB/582X1Sbz8774vd5X+Tzuuh8S4+6mCfzOW1+7/eGhklNauTJ+zZY 8GuzHcPV8xOSf6af72jzVXke+mD+f+I1ngdTX7t/JPuLepb8cb1eyb/XM3a+ D3YYO7/H/hX7X9r/l/Gc+J7/F8Yu+bL69iX5snpmfZR8Zph8ZuJ52S/TM88n vscOYyfexw5jJ/7HDmNnPQA7jJ31AYm39Yyd9QLsMHbWD7DD2FlPwA5jZ30B O4yd9QbsMHbWH7DDMt/Q57/TnukPMPnsMPnsMOOflmX/Wd9fWL+BmQ/SPolf qS/5Ufry7BfC7BdSn3iV+pLfpC/PfiLMfiL1iU+pL/lJ+vLsN8LsN1Kf9WHq S36RvjznF2DuS5D7APTrQXIfAPlG+vLsT8Dsb1Of+Jf6km+kL09+Psx+qNwX ol+vlvstyB/Sl+e8Bcx5DeoTL1Nf8on05bX3ObCfQn3Wu6gPU579N5j9esYT /AfjPe0R/wNzfwOMP9beLyDnKfTM/FDuHyC/V8+S36tnye/Vs+T36pn5Eiz5 u3pmPgMzP+F9Md+gP8a1Ljml2ybVH2v9M/MN9O/at/bYWf8cqU//5H1Qn/5v lnxn7QKTHPFvvG/8Cfd94D/w73wf/A3fg/GB76X9fez8v9jxL/wev49/gfn/ anS45R0zy0v+H/feLmNe5d37KF5hvZH4DCY+g4nPYOIzmPgMJj6Dic9g4jOY +AwmPoOJz2DiM5j4DCY+g90bemd5+wV9FG+xPi3j77iIxT/+rs53S8y4271h nVzlpW+7wrsW6nzLesnZxbvHqvMtl5ftcyYMDNV1P20R3/IPXRN2PR295Js7 ygMlwGL5ozOyPv3/eh9E47jdJwyHPVayHk8ZfazwimJrMqDWrzMfKwtSMxYu 2KrmA3NfRIRNmYsD7YMVtyqGvyx57v3RfQ7/3fdJaO8X+Fe/T6K4+yL+7P0Q cEXHhmfHh2QJj0we17Lb+heKu51NqW5tzsl41Lko/fqmYz4Sb3z+y/SlTh0e 60x8xsya8Zkab6xtPaPN9zPylMu/mZT5qoUaf9DeCyp4nnx3QI2nKvTy6122 hbvMZ1nP/Oi+ibO7vJrvCFD+q/snGP/SNjudOFz92p++j0J738Rffb9EcfdH wPgfmzaXpo4IvyH+BH9kNzXExWxsjvibBdudqnb2UeMxp/sLau0tn1/s/RMt K28tUbbFJd2BnLplVtfOUfY8PbfAb4qvznbKrBqX5uQqZfut83f29NVNiOg6 Y8zCXGXT4YpZraZdk++1yCxzfurVG8os6y+qzjQLuqG9j2KbrkWba1MO6Nw+ nxc4YGK2YhTuGnfxwG3dnNtL4pf55CjjPGKOma2O1IVUHnil/LB8JfmC02+L R0ToTA9d6/20Zb5SvvvkpDdbIiU+zA5NsLv66qHEh8YlnljFN/dXWrva3y5o d0LJ7r4tKjXXTxm3obyT7bJDf/q+itK3W4beTrgr+oq7v+Lq+6frnm64I/P/ CdMLShq4eSsNDgTWrGdxXOfi5vHtMGMfxSsruM7Ra866P3vfRVjVKwPulAj5 aH0BO/8v/kh7v0sZ6+zdtT1d5Xs2GRQx36Wmy0f9kftGPvU+CP4ffv/G91+c mlvDX57f0fJ0buXrAcL5Fhuqfvb7Q6Ve3sE+5VfsUC6vaejiVRAs9uVrnqyy a6Iy8THPbzDxsGnzLuFiHzYxydq+coT6/B5nPrT8Ilr4ao/pUdGDooQb761Q 7ejkxxJPuzXbYj+/X6Ay0/nd9LLdPCR+lvNEjdttcLSNkfr9tnUNm2McK/z7 igMmli3jhZd+WFbvi5txwsTXPO9BVuwcA78EsT+fXXL1lx0ThTv9OCWyZM9k 4brPet2LCk8SJh7neVMfnWjomfBc7GutfFs/s0oRDjUzXXdlZJqw5/VK9g4v UoWJ33leGdc5vrPepou9qYlD9I7JGcLz6r9sN2dulvDQvSGN+5VTmXif51n3 3vetg2G22MeVOeN9zFzl8kXP7Bx75Qi/MfNPXlFVZdYHeJ5zBwOHWbVyxe6e b1R/VX+VR2T09Jk9KE+4r0m7bqPqq8x6As/LbjoppW+TfLEbJNrPHT1M5RNR Lg36jy4Q3lN/l2PHL1Vm/YHnmde4b96s1UuxDwiOuNdpgsovfSvM+8L2lXBy hTep1dqrzHoFz/utpMnOD50LxX7gtplxjdkq97k6+4GB/Wu1v70Z0z3TXGXW N3hedM7W9Ce93og945yzfdZilXecDGoUveKt8JrUW7vu91eZ9RCeZxKX1+PS oHdiNztU+uGDtSon7um4wHNzkXBIxBeZR4apzPoJz1sWOHzP9tHvxb5pm22T Y9tVbrfByc9h9wfhZvc3frdigsqLDgyqFjMuWHkwt/yVazu9P7ov6V/t/pri 7u/41PttPvU+mk+9P+affd/Lp97v8s++n4Xysn6itx9Z/DTNt2eWEtamqadr 7fG6TRuTR9Qvly3rJwcHWpV1WOX6p+936VKv+rIC6+2yPsH8pddJc1v7NtnK +86vZ75vc1PJnXHe1N7qos7X8mwzk6VBiu7ppNaWFW4pLZ2izdIPnNEVWiyy qHUjW9kx8fTFmkt9dOWerNrWtkGu0rJGrU7h4/x1D8eOP2/snas4Vcz7ecWU cJ1n22pDN5bLV7T3uSx3scrMMA/Wvd94Ksh7ap6sD9y/7G9wMHqvrL/TH58s uzH16/l3ZH71+ZyZBWOPeOkONxphuMcuR/YPKD8lYUKLSn63pLzfh1Kt3gU9 kvUJ5vesP8Da/WDiCdYbYNYbYNYbYNYbYNYbYNYbYNYbYNYbYNYbYNYbYNYb YNYbYNYbYPQRH6EPRh+MPhh9MPpg9MHog9EHow9GH4w+GH0w+rT3X2v391gf wa7d32O9hPIw5WHiVc5/Uh+mPkx9mPqc36U+TH2Y+jDzdeIH5vuSv0T+o37+ zvxX7qvmvmb9/JX5qtxfrZ9vSvykny/CzPdg5muyH6efb8HMl2DmOzDzFZj5 Bsx8Acbfw3x/rV7iHfTJ/dp6fTD6YPTB6JP4T68PRh+MPhh9MPpg9MHog9Gn 3e9lvYX2AhMfsr5C/Mh5M9qfNn9Vu/+r3U/Ujo/a9qQdL7EznsCMJzDjCcx4 AjOewIwnMOMJzHgCM57AjCcw4wmMPt43emD0wOiB0QOjB0YPjB4YPTB6YPTA 6IHRo70vnvU62g/jI/sN7Cewvp9jbXE3ZU6u5O9xXzjzB8qzH8H+BfuXrMcw n8H/8v/I+Ur98/g9mOfhnxnf8PfsX/B87f3TsOSn6Zn8L5h8Tpj8L5j8Tpj8 L5h8T5j8L5j8T5j8L5h8UJj8L5j8UJj8L5h8UZj8L5j8UZj8L5h8Upj8L5j8 Upj8L5h8U5j8L5j8U5j8L1juo9e3B9on4xftRc7X6stzPgTmPAn1Gd+oL+dt 9eVpn/AokwG9Hr3Ol/qct6W+nL9l/zm+6qSy+1Q2+v3xasVcPX8r+Tl6lvwS PUt+iZ4lv0TPzBckv1rvryW/Ws+0d85vyP66fv8R/8D7o3/z/vAXvB/mIzD7 gbwvyvP/cj6B9y/zeb2/sDtob7zQ1VtZknLbqb7xIum/nK+B6d/oYf+Q5/P7 lOf5j2+6zr2546Y8n/eFP6L/8zxtPuA/uh8p+RL/x/Yj/+r9x+LyF7X7k8Xt L2r3E/+35z/+2fzE4vbristfLG4/r7j8Ru1+36fmO9J/6Z/a/YuP9gs1+4Pa /UD683+1X/I/PX9Su1+rzYcpbv9Qmx+p3U/U5ktq9xeLy5/81P3F4vajitt/ 1K7vavN//rv3H7X5RNr9RG3+kXa97lP3E7X5of/T8zc/Nf/y7/3Gv/cb/95v /Hu/8V9lv1Gbn/+/PT+a8Vju1/sXy59l/nizTMbyEy3cdYVmSwPcTW59tN7E /lxx9yf8nX/7z82/LW6/Unu+TJv//an7mdr9S7l/5fSoq2sK5un+2fuZJ56+ TksbGqKMrzKhTkDcfUW7v/lvdbbxLw== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlndsV3UUxe+3LW2h0GVLNx1QaMXSYlugLKuCiIJS3FoFCtRdrLVQ/MO4 onHvPePW6B8aE3fcM+4dVxxxJI649zrHc6o2+eT7+t733e+999x736++b8PK gYzAX4rIxLIH6ASTwGYwAlaAApAHxoNmX+eDLb0WgTVgNZgApoGx3lfsPbQx FTSCXLAMLABNYB0o9d4dwXZghtdWUA76/Jx2hkA7qAKLQJuvm2yTPiwGM0EN GLQ9ntEFJoMcsC+YDeodZ579HrEtxruf92b6eYHjybc/RY67wPtn2R737+X/ a0GG7WTbjyK/n630//s8w++ud162AGsdfyHotU9ZYLrtlIA5oMH2inwG728P WkAFOBjsBrYG8xzjOLCTtaEu860fY90VLAFzwd5gd1DnXJb7jEzHS3+GfU6Z bTU6Jvo1BYwBVzImBLwV/cTaBiba7wbvyce94qQcMN4DbC/H2nFvF54/gnUH sG3IHs/dBDaG6qbd+lc5prnWl/Xd6VzTxy7bbnb8ec5duW0uBx22tbNzx7z1 23aF/Zpj32qte6Zrgnme4PNq/5ez2c5bsk98vk2or6hhtzWmLwvtX759H62p DutZ4xyU2OcO681nba6Divivrxgb+2ORYzjUdZDrPC1xrvj+Yttvd75r7PtS +09/9rRPPaFeGu3/Fc7BgHPHvK3yPu6pC9XV6Mzp8Z4W61pmv3YJ1Sjzuo/z x95gjxQ7v6t9VoGvC63RgaA61De9jvEQsL/9z/GzXN/r9X3qvMz60d4a2xyy 3Wqf3WdfuK71dZZtUutB+8k6r/S7FbbVZ3/5fL33MMfLneeD7D/fewOcHao1 9tpG32/1NTVlDXSH6oD3NnkPYxhxbiv8fqX1GXHeeqwB77EmWctjfH6/95fb dqk1KrM91ixrNN/nDntvnbWlPdZbleNq83tVPn+zfeN8Ohqs9PvDPuN1cFZo RpwC3vWe08BToVpkr7B/2DtvgnNC/b3UelOTM8A3oZlCWPe51ujIUH/0W2P6 dpSvqTV74rBQ3TJXh9tnrgO+XmdbzM/lIC/JryHbavc5g9Z6LJ63JtUMba+y /XuZ+6R4HgWP+fzpnJ1JZ/4Mzg/NNib4z1CNvgemJuWyOaluWDM3gylJPd2C 9a9Q39xB/ZLm4AysOUm1eTtoSppr9LHAfnZg7QRH4Ho+1gVJmh0LZiV9g6cl aUa9TgzNa9b1x+CT0Lz4CHwY+t1xH31Jql1+E553fu4Bf4Rq6y7wa2hG3wle Cs2q18Croe/V2+DBUE+wRt5xnbzlZ7z/Gfg09H1+EZwbmi2/2C5tfuf4Gfv3 zhHzUwnfrg3VL79jV4R6rh7XN4Rq/Hf7Sj9fACe4fuYl1S79+Rx8EZplL4NX QjPuFvCE64Ra3RTS6zZwa2iufwuOCX1TJ2LPVaFefB98EJqnubifnTSPnrXe 1PqHUG+wLxpw76HQN+BSkJnUx41YHw7N/d/ARaFvT1aSHgu995LQ/q/B6aHZ OT6pdlm3PH+cfbjGGjD/x4OKpO/Qk64P1sYk3Ls+NPMeByeHfg+ypu4O1VUN ruuSZtLVjp+xPwMuDH1jrrNO1OhpcGboG8KaOi5UV9T8R+v+Ffgy9HvwRmtJ Hduxnop1AzVI+p/XP4HzQr1amPR7hbObPXFSqC9mJmlP3ZnLyUn5fACUJ32P mfvqpPzfD0qTvnmM9TnHW5X0DvenpP5kb5YlvcP9JUn90w1qk87muZwHGUkz 4WJrSR0vCM2Of37n4flloRn1N2MN4WU= "]], Polygon[CompressedData[" 1:eJwt1GVo1lEUwOFzx8RAsXs6Z2wunDWdus3uZLNlKipibyLCYCoWBvawuztB 9OMEO8H8IIjd3aIo+jue8+Hh3ve993/rnHtjRuZm5USIyEBE4gbuoA9aoVQQ 2USZiLY4gcvogRxUoX0bZQN0wFO89PGisRJ3kYnh2IwKwcZKwi+sRhzSMRNX 0BNpWIA5aI+ueIQHqIl+eIWHXh+Ea7iq60YGjmAxuiEVhfot84+lrIbbOIMu vufzuIDOaIo1OOlr0T3fw330RRae+551rwPwB+sQj9YowlwbKBPQBhX5vcX3 3g7T8My/bYZluIne6I7TOIhevqZbuI5Y76NnNcv3qme2EPN8feNwSuPInHmU DX2sw0jxMWNp20/ZxL9Zi98eC91DBO0BZaiPwF9IsLqe8Vu8RgwGYxV+iuWO xnSGjk3/XD//fajH704+p66t0GOR52tP5798X08G9bRgZ53vsUjh92SPSQvq BzxWU/EBSzEM2ViBL9oPdVCO/mVRifpobETJYLHRHN+D2vzuSNkYpXXvwfqW x3J8Rl3th1q0RSOK+hg/i/cY4meyHpHBckFzoABf0VLPASVoKx5s7FHYierB 7lIjPTPq2ymTMQWfcAwTfI8XcRTjxXJ8tn+jfXWP7zwGqb4m7fsRQ/0bHfuc 2N1K9rEvieWezvEd33ytmnP1GTsu2N7/nyn1vX5WGtMofu/ytesZLvGYZPuc CbTHB4uFnsELTEdzsTfjOH6IvRUTMV/sTdBYa8zPeh9t0zt7SCznNdc1p6sy 9g6xXNc3IynYm6Vv1SSxtygxWD3T534jlru6hkVib4ael+bsY7E7qnezv9jb 88Tr+gZtReVgd1nfwLliOam5qDmxGzWC5Ya+OUWpFwsWa71T/wCrDZLV "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnW8VtUShvnWFru9dte149r3XjuwBUEEhYOChIqKgtiAiIENoqCIqJiA LVIqKgaCgIGI127F7o47j/N8v8Mfc2blzDtrrT3r3fs763bq0fKk0qRJkz/j TxV6dOgxIYfWmjRpHrpZyE4hZ4bsFm17hZwd5d1D7x1yWpR7h+wR5UdCPxzS JuSZkKdDOoZMDXkipCHkqZAnQ44KmRLyaMgRIRNDJoT8K2RA2OqN7ZBnoz4t 5JiQmSHPhXQLmR0yK+S4kBdCng/pHvJSyIshJ4ZsE3JY2OgY8niUHwtph62o tw45PKSzuk1IF3XbkK7qI0K6qY8MmRHzp4d0CelUS/vYOtb+diHHh7QPaQg5 MeSokKNDti2J5STj6+a8E0I6OK6HeLF9shq8vcQHrlPVzD/F/s6uF/aOCzld DZYz1N1Dzg3pqb2z9A3G7UriOjukjzjwf6bzTtBeO2M7xzh62N9gDP21Dcbz 1MTaT6z47qtt6o+F3BtyX8j5xgD2C8WN/4vU4N2+JMaLQy4RL1guVYP9cn3g 86panidsDxIfuAar6bvCsazNZdpg/gViAccQbdB2jfjA1aMklmEh1y6A6zo1 uIarsX2lfsAxQqz4v0FN/0g1eG9Ug/dm4wHL1WIBx6gF2m5Rg3HHwDY09K0h d4gPXHeqh7v2N2n79gXiuM82bI927PUhY8UN3rvU4L1bDd571Ngd47wR7j3n lHN8v7bB+7B2sfdQyG1iGa8G+0Rxg2WcMTGO3ET5wZAJjr3TvqHG84i2wfio GoyTxYfvSdqmPsV+1uZx1wK8W4avNUPWIo/pEyxPq8E+TdxgebDkmCdDnrGf vmftJ6aZxg/G6baBZZZt4P0p5KOQj0Nm2wbGF2r5/IDxf9rFxpyQqfp9WQ3e V8QKlp4lx7wU8pxrAY65jmXc8/rBx2vanhHyupp5rxozvudpe5r9k7T7hmOJ 9U018b0X8qIY5muLOD5V4/O/Jce8G/KZbfh/R3yswQfG/LJr9IpYPlFj90P7 ie99fTLnobA/LuQ/IZ9rG7w/aJd5X4W8FfJ2yM4lsXxj2yz35Etjo+17fTD/ C+3R961xEPeP2mZfv7PtfX3MNravrRMrzxD5g3zxs3ESH+dxyZClQn53jYjj DzX+/xIfcfzm+jLuT/vpa1KyH58LlcREHLuUjLUWumnJNtbmF/2zbwuXbCOm RUueVzAuW9I3thcvOefXkCVKarDUcYN3sZLzGFeVXC9wEB9jGbdIST/42LUk ruVClrdcQpYpGRu+ly5pm3oxFuyu4Fj8/ENN3KuWjAEs62iLOHbTz7ohq5TE wbj1FvC/csm1oG91Y17CfEGcYFlbjd017Ce+1fS5uGsz331aX9vg3Vy7zPtn yIohK4VsrO9VbFvIvdrQ2GjbTB/M30B79G3iPOLeQtucqU1tW00fTY1tI+v4 28rYiIlczx3F/QRX3JP9qSWngw/Ck+CN8Ed4JJwR/giPhAPCy+BhcD24FTwD vgZnhJPBH+GMcDL4I7wSTgbHhBvCvcip5CHyDzwUXgk3g1fBceAwcDf4Ixym zv/gT/BHOCNjwQrvgofVuSB3VgdtwHfgoXBPeE+DbXAsOCk8lLFggo/B04jn OOt1TtlVH3AouFSdx8Ab4EHwjQHigyudLN6e1sHUy3qdF/bSdm/rx2qrd62R F55Wa+SFp4v9TOvEd5b1OiY4VmtxdKo1ctMe4oA79RXHudbB0d96nQv2F8cA 68zvow9wXGDM4LjQep3/Ud+hJP8bKCbW6WKx9NXWePefe6jO6Vmz9sbMGpBH yafD9QFfGiIuzu9g/V1jX53D1TkdGo4E15igz3odvnJySV44tNbINQfVGrnX Ha4LHO8KYx6i7zqHG+U8nqs6B0SPdCz9N4trtHbrPBKuhW84ENzoctuud73A Osz9GCSOYWJnDlwJ7gEfqHMm6mNtm1xr5Hl3a5u+MbVGXjhWfHCne2uNHPGu WiO3q3M9NPypnzGA998lud0DxkD/g8Z9v3b7uJeXuk73iom1mOjeUJ9iDGPE Psm1GOPaMe8xx4GFs/O0Ph63r87znnLOJH30Fe9l4qMfvgWngP/Bsbjj4R3w Eu6kZc3/i5lfybPggiPNcI1nWmfdZ1knhtnWwQT3eV5cr+ijzvnmiGWu9V4l Od+Lxvm8trgPuQe5O4l7nrbIo3AwuBO87zXrdf73mvjesF7ndtSn6v8lfcBh 3tLnO9bBAed513HvW2feB9an6X+eMXxo31zX9EOxfmy9zh3ni+8z69iFR3yr Pfo/0cf39hHD584hDjjRF+L+yjq4v7b+rva+MeYvnD/LOW+K9Qd90A8H+UO8 8JyfxPGLdbDCc341HvrrPPFHbc23/5daI8f9WHx/6QN8cK6/ao1csM4Nf9fH RPeVfZ7kvk4Xa1M5BP4W9u7H/yJyAHAtKs8B92JyoTq3W9zztLzcCP9Ly4HA t4wcCBxLyoGIZ3GfCfYD/3CyIldZXkwryluaykNWFNPK1heRz6wsplWtEzf+ lxTf6j57S8h5VrdvTetLyW3WLI28ba3SyBdX8Blexz7ihAuuK9b1rYMPrrah +Dayjl3eJ7fQHv0b6GMr+4hhY+cQB5xsE3FvZh3cm1tfQ3ubG/Mmzuec1tcS rFvr45CQvUveqZeG7FHym9mearjJXiW/W8EF6Of7HPxoEjqkRcjlztnWddnA +Odomztna32vo0++N3GHX1nSB3W+NfLNgnzfUMVZZG7IvJJ3Afn1ldBzQ4aE 7Ffy/ZBn8YCS7yqcOz5o8h0QPrd/yXc2ntMDS74zLGd8exjL7iX5PXt3b8hl xgP3g3PC17a1jTXZTsysyS76wP72xkZcxLFPyXt4J2MjrvtDD3LcPSEHi+OB kKscd1/IFfoA7wHGBcYDxb+z8RM7a7BvyZx6d+jD3Zsd3GNwcZ82dx1b2N+s lt9s22IrykeW5MyUJ4duhd1acj/a4cstQx/qXLC3XuBMwPMZ21ebzD1MPIxv rV/GjwjpT2zR3q+kb/zyrbgDcdbSH+8F8Di+37Z3/KHGgE3aGLN/Le11cMwU bdJOW4PtR5fcU+xjt8F9Jt6J2j1XX8wljjbGcl7J+cw9teSdypoPCN0p5KBa fvemfHAt+T/vJnB/zhDvLLR1LtnOmPNL1ilfELore1bL796dLc+wvXktv58f ra9jS77L0H5hyTrlgaFPKPkN//iS7yktavmeQpl3E76fH++Ymc5lDFh5/4Iv X+QY2qnjCxsvaL9lLZ+1Ey1jl3cf3qHo7659sHcxlr/fxUp+D+fZPsm5L5fk zXB7fkvg/ZB3wz4ly/tE+RTHDLX/NNupw7fhsONL5ga4znj36IlaPh+nul8I /fAOntFTtMm+dXRtT9c+WIaWPNOcgbNKvt/yHgs+3ml5n33JWFrVss6YXcVJ DPXfSs4Q8zkl59J+bclnYD/tnaN91oQc2kOf+N7TPDPHtRrueeWsjix5Rjmf o0qeLc5VL9eCmO8sua/s6a0lzxz7cnvJM8T54fefge4deYp8Rc67q+SesV/s w2AxcB5vdN3IX+SxHfXHXkz1Ob2+5DPIGlzjOpBjhrq2w0quxX7m+atLfpcj D5IPycE8j8Mcc7X22V9sj9A+z/sNrsN1Jddof/PbdZbZq0vcL8aOdDw5nvy/ jWd8rPFyNm52PXkub3Hdbiu5dqwbnJ/vibyzMHaU4xl7q+PvcA9a+GyOdp15 /u6wneflNm2SK/mGQn59teRdyHsFd+A415Y79D7Xaaz7BGb25Cb3hTuau434 yMPcE+Ri7n3uIe4g7gfuoWau63jX9lV9ERf+8M97BncL99nezuc+AC855jlj IWdMNxb8TXLMRMstLE/2DEyyzphWtjOGHMw3nfpdxDejwy0/7HloZzv728Z1 wyZtU2xnDN+VyP3cA3xLIjfT9rjnp71lxjLmCc9Gg3MP8F54RFwNjmnrGcMX uDpqn/VHP2WZ8zl1gXlTtf+wNvfzmXpK/9jhO9eR5uZpnqVurjM5GT3TNT/G Me08V7QzljP8jPY4w9wxx7g/M9yjrpa7KPSR+6c5Hr8T3KN9vU/45kXu56wN MEbO9mzPAvme72stxUYsPBezHHOodwK/2x7tHTLLdua94Fz6ybOtvF9o7669 Z7TZXV/cM/Xf0vgmwbcVvkfwnWDT4JaLVsllTgm9UpX3wEEleRLnfIto27JK 7rJw6Iuq5IlV6POq5GVNQ19QJS/7I+TMKrlYLXS/Krlhn9CrV8nV/go5p0ru dm7oNarkjqeHfq/ks4b+0PJZ0b5qlXfXmNAbVvmMDQi9ZpW8cIMq+2gnJ3Nn cF8wb7Rzfw1ZpcpcSqx3Gu/bIR+UzOG/hL69yvjBe7aYLwy9VpW8E32+5R9D bquSYxJHX2MBV3+xvRnyfkmexti3So6fI86B5nByPfkGvKuJeVjoa6vMg4ND X1VlPhsS+uoq8+uVoQdVmb/Ji6+6dx+H3qPKe2au9ol9nGPIXzs55wHz2d95 tZY4mDNVTgFW3l+uCXtDq8zl14ceUZm7Wfsq7/gDwV7l/f0T+1DlHcl6r+ya vxHSosq777rQw6vM+81C71nlHX9x6EuqvOc6hD6qyrtqs9CbV5kXbwg9ssp8 f2noy6q82y4PfUWV9+EmoT8pyZfHGRfr0LvKM0H59ZADquQh7P87PgOc64U8 27uH/qgkJ+oZ5V5V3vEnh/655F3P2f+9+C7CWXAdTgx9UpUc4oTQ3au8rxYJ PbBKHtA29Fcl+coRUf66JC85MsrflOQlraP8eUmOzzrt7VqtXeVZ5FztFeWD quRIp4Y+rcrz1S70tyV5z+FR/qIkT3otZJ8qudZhoT8ryaW6RblrlXdmp9Ad q7wn24T+smSOax/l70rypPWq3Ff2dN0or1NlLuE5/s1n+dhoO65KHrN+lc8G z8UunNMqOdoxoTtXyT84U809V61Cf1rkiFXiBjN5qFSZi8g3/AMPOYccw//z kGdaRnl+Sf56SJX7zV7/H6neqQM= "]], Polygon[CompressedData[" 1:eJwtlVlzFVUUhTtnQwEKogIFxQuDgooyg2hAIGqUQUETUSZRwiSIBkWBQsFE hCRAEhJJwhxmRFSGKn4AP4MXhpJSQJlUCihx+FatfvjqrN333u7TZ+29bp+y 8pKPU5Zly6ANPBRZ9g6s4+Je6IAugbXoZuiMng7foPfDA+hS+Aq9DRagF0Et ejh0RE+DSvQuaI9+Ct5El8DD6BmwHn0QrsBgPSP5mb/BUOrZrBXwIPqtsN4B ndBvw9foPXABnqCeyvo8/A7DqOck7+FPXadeyloNF6EP9WuspwqybCz6BVhO /RmMQY+GZehP4BH0TNiAPgyPomdBFfo76KK9hu/9PZyD/tRTWJ/VmaIfh9fR P8El6BX+rJrn90bfy/euPZ2F8VxbyVrE50u0d6inHgE3dV/qhclneBWGaI/J nvwBz1EvSd7jX1BILdNr4G+9J/VW1jPc/xbrKOoPkt/xBoyknp/s+XU9l7os uUeuyWfq95M96Ip+N3zvH+BJ9NPqEfQb8DMMCHv/Cs/bh54Hm6mPwxfof1hH wwT9Rr0Ca9DFfH8SejJ8Sf0y9SqdTXjv8qx72DN5VQyt6IHqEfSPMFVehH+r e/YMey6vX4VB6MfCe9Nv9oTfSe9yLD/LnXA0+Ux3hT2X10fz3tod/q56bG7Y c3m9CbqF96S9TIP7sDr8bL3ztnCPqbcOwTj0r6yrYIXemfoleJH9rdYMyiuo Q5+AxeEZ1OzV5V7PgY3Jnr+Hvs1aWuBr8+UdDEv24CD6U2jUPMBE9AQ9s8Bn vgL9ORQm98xdzUX4rEfpzHV24b3pN5qdO+iG5Bk6QP0RbEGf1J7CPa1e1rVy 9Pl8FvSb5Zq98L0b897cDkeSe3RHeAY1e7q2MNxT6iVl0OZwZigrtuezsSms NSMbwxmm7GpJzppaeZycOcqOenmanCF14UxTluk7z4QzUtmoHu8X9ljeasZ/ yT2Ud5rhtej/WMfobKGSukCZg56U7EVZuFfkSRW6LYxDj9cMokM9i54MPXQW cDrZky3hTFQW7s5n9VudSfLMNoYzXtnempwdLeFeU4boXspEZaHuqSxVT6gX lKnKMnko75RpH4Z7UL2nTGoOZ7qy/EBydjSFtTJka/g/RP8d2lMb9Ibwu+gd lSUN4b0pU/RfUBP2Rv8Jl5MzRVmi/5BqdN9wNjRRJ/S68FnqjIrQ7cKfaYb+ hTXhbJEHGboi7IU8+B9gkMd4 "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHnY11Maxt96n2NJtI1I0oZKGhLZssYkCiVLQyGTLWWPyJgxpZIoM4bZ t2uW61JJK6VknyyVpFJhmjRtaCXe0Nyf67m7ev94ruf+nvN8z/mec+7nPs/v 17zfrT0H1ayoqJhVo6KiUv6pUlGxJSoqGsh+Lhsu26mOY+Unyb8kO0R4vPws 2dHCE+Vny44UniD/ouxS4V6ylcLHyT8nP1fWUXiK/Cuyk4Snyr8qO0V4mvxr sk7C0+Vfl50uPEP+DdmZws/Lvyn7ofCz8nNkZwu/IP9v2eHCNWQVsoNlDWW7 1L6XfJG9I1xHvlL2tvCj8qNlTWTDZF1lzWWPycbImsqWKO492SLZ8XqeLP+y bKnb3pd9IlsuWyEbq5g2staRbR9U5hgr7Hmvh/ouli0T/lj2od/vrrZussXC /5V95P7V9szTW/1XyP4j/D/ZKseutSe2j/qvkn0qvEG2xrEb7Ym9Vv3XyNYJ D5S/RbZduEr2pewrWX+1/UT2mfBW2eeyL2Tb7DfJblL/jbLNfmeLY3fY745d 72/hvDhDznK4ebbDewtH4Eot4X1l3wk3juTcTHMM3o039+DaBPMBDk40V+EF /Kjh859XmWN94/XBQ85wsnkIH6eYh/BxqnkIH6eZh/BxunkIH2eY2+TEJO/F Bu9xa/OLeR8U3ttrHG1OLTIvlvvsx5h375tTSyv38G6JYx92Pu4de/i0+/2P zZXl5gjP5N8njvvI3FhVjU88w6PVfgfeLTWfV5kna6pxi2c4tdbvw52N1fo2 ev3rfd5wBe5sqta3qVrfVnOFPFjhNe/mFn3wosqcWlNt7C1u+7Iaz3i+xXu8 zX1VPm+4uc1zf2MefCvbx/wiDq597/aRwiPMm9rWEs6xwtoC3l++ps/4APmw tmDF7WjM/sZtI+Pofyhy7ip/C3Mzb335eub9DyJzgP6W8vvJnqnMOWv7G5hz L48JT5qYV8xfx/M2sg7u8jz1vE7Gru+5WFMDx9T13Mz7eOReoKHnyQ6SLfQ8 zPeu97Cu4xmjkcd5RH6U8/YIe/L20Mh8numYxl7XYZHjMmZDfzMxLSJ1mdw4 JzKOmGbOo/nmNxzirjk3sm++86ipc6qFx1hQmdrezJg+2tHboyJ1+y3hH0W+ Q0yrSN1Ba/CtvBY40tpnwV639lnsXvNMt7Vx+22RczA+WndCpN61j9QsdAT9 QtfQtHaReLbb2vkb0DX0jthjIvEctx3j+An+VnSS+dv6G5invePRWfQL7eoQ iee6rYO/Z7K/lVi+F4xuTvJYfAtn2NLniIairbw3zHsIZ7if0X00H709OVJz T43UXHQWzzP6O83P6DCxJ7mdc+rmM0WL0Whip3pc5j8rUqO5Y9DtMyK1m9jT PBffQQwaPsNxjEd/J8cvM6/Qpc6R30+NsdTfQP9dkVxZYI518Xq7OGcWml9d zTH25kTv4R2RfIWr9F/gmPMdz7t3Rz4v9JzdPS/+IuML3c67jN3Rezs4sm+x 976z96RmNc4OEP5p5L2PH2R8j3xPj39ZZD1HflG3XGLMncEdQx2y0phcpGa4 IbIeuDfyffqJ477hvdXGn9r3Nv6xMbFDIp/BtF3pmF7+Htp55k5ivLXG6+z7 GOOvNr5Pvq/H4Zk7bK099RB1zkY/g/u5nVjmvNzz3h/ZR/tQ+esd39fzMj7P 3H+Mt8l4s31/4+uNiWWe64zp497ivW3G2+1vMr7ZmNgHIp/BtA1wDMa9yBjU IeCv3TbQGN4NNk/g1D0+d/pvdQy6e7u5ir/DGB290/zH32XMXXG3eTvIc213 PvUwH+DRvcbc29z33OOc833eQ87tfu8zezPU+wO/HvB6WQtrY4yfGfPNPT0X a+HchvjsuH+Za6fn5Jm7+BfGOx3DM/cbvxEOiz15OszrYh7mox5DS9Ad6sJa +g01JfJ+XiarX7IOqCs/ITL/Ggp/HXnX/RWel9SW2vLPRNYaw4UfLrnfXeQ7 l9THt5m35Bm/y3eWPKfT5E8uqQHd5M8rqWdj5TdE3v09hLuX1MTL5HuW/O7R Xud8nzWY+5j7k9oUvW3qOGLmsf8lzwH95y7n3nsd/pQ8tyvlLy+pO4/Lr4+s Fd7kfEue56twpuSZN/dc8OdstZ1erP3yx5e8f66WnxapmwOF50Se823CcyO1 pq/w1Mh64W+yq0rWXpNl+5Y8l1myG0vWTzfLvxipldcIT4/U9AeF34rMq4eE 34nk8lDOKjJ3hwi/EakFbYSPKL6T5Y8qedd2oK3knXq4fLOSd3kT+UYl64mD 5RuUrBvg03Dz+U61vRKpg4OFX4vUGLhTZf7s4HxkB8puUMw+JWvAJj4v6qCX 5W8vmQd/ZH0l78HfC3cqeV/MF/7c8+PXGW+EjyXr2U2yf/oc4dRX5tV22T8i c2etn8HX6r1+Je/DPiX3nT1fIPsiMr+elrUuWZP8TvjEkvfjaPknImvfJ4Tf i6xbf8kZlqwlt8n+Hpnv9dS2JLI+/q3suJL1zK+FDy1ZO/1GuF3J2uZJ4YNK 1nJPCbcsWTuNMp+pZ/4gf1bJ2mNrZD6Ty+jeY84PamRqZeo6aq2xxmMcA5/H OY72hsbUyeQM81Gn8UxNOc/xjMNzDc3/baSmcrbPR57vTDhYUr9nywaU1O8/ yS4oWcP8Wfjikrr0F+FLS9YA18mvjPyd8GjJPCFHRgiPLKnl5Mo458tLcL+k ZvNd47yWkcYjbPRR8/ZX7AuRtQtaQ33FN8DxA83zpvLPRtbEl5T8VmIOKXk2 nMuFJdfDWsiVxs4XdKW3teWKkmtjXehZL2sa6/vMazyjJNfh+aiSvIEzbUvy D+6hixdZG5uX5A2cQV8fscYeWZIr8AQ9PteajGbvV1K3D0DvS/4XBU8rzdWu JXOPvEObz7c+j4/Ufd6dGHlPcEc8Lf9B5G8qNKOFdeOckryEk9/JPxeZmztl 35sn5EGdkrmAJrWyLi2OzCtyCn062hq1S/arkr+7ji2ZJ+QIutXe2oUm8R8E eY02n2l93hz5vyG//9DpjtZqdALdRys+NM/g2KLIfCaX4Vctc2yY/NLI30n/ iry30BbutFNL3msnlMxt8pq9ebLk/pxSUjvQjf8DJBjFxA== "]], Polygon[CompressedData[" 1:eJwtlWnQ1mMUxp/e5z4YtFApCi0ICWkqpEm7ClFCZevllUpvpdKeUG9lBh/E 8B2Dse/SvhLZppkmxlq20YRmFCF+11znw2/Ouf7/+/nfy7nO/bSvnTKivqZS qcyHAoOiUhkMvRCbqpXKUPIh4bw3zz6Bz+BoaAF9edcPLiLfyJjdxDnoWuI8 GEZ+efi3m3n/BfEW9CDiDPgcbkYPJN4F38BU9LXE2fA1TEaPIM6Cr2Ai+kri 3XCJvg09yTfw/W+J09FjtA64lLxP+J3WuAfmo29XhC+hDj2UOBO+03fRNxHn Qi/yi2F91XN8D/egJxIXwAr4DZpDIxiutYX32gf9ns4BXVc854dwL3oysR62 aJ/occVnNpB8QPgsVYNtsBA9oXjOA/AHHOb9ccS34G9oBZfBHYwdD0F+BKyD KehRxWf6NDyEvl+/4xuriBPQVxSf6VPwIHoR8U/eb9K5oG8sPpN34DZ5ovjM riK/OrzXLYzvQn4udEWvRXclPz+cd+PZz+kheacZjFKtoS/5VsasId6pbxbX /EnNqzMhbuf9BvkEPbq4xq/AfmgMVfgUnoXj06PXMHZkeG2aowd5d1iH7o6+ gLxbeG16to/4a67tKPgB7gvXaiHshFPRZ8unOdczxbXQnLXhmqgWg+Fl2AVN oDP8k56bmTUbw/ix0F9eqfqsN6snis9ce91IHFu8Z9VyPfG64pouC/eUemk6 PIb+MWvbIA+gl4bftZMHwz2k3hkGi8J71N4mwbRwD83JOY5BN4HTii+ISeGe VC8Oh0fR/xFbw4nQEO5p9fI0WBDuGfXK+PT6VuKtxZ5XL2zXvop74gH08rD3 9OxI9Ub4LDvA2/otummxx4N8SXiuU9KbK3NvQ9LrH2ct5fnf4fHwWpun1z/S PMWeVy+szr2pJ55A/0XcxnoeLu7FD/Ks1JPq7fdzb3Xp3bXEkcUefkTwrC1x Jd94TXUN92aRZ8hfJNakh3/KGjbkmuZG3ll5Zofh32Kvyz+6Cw5Cy+I7YUV4 Ts2lmrREtwjr04vzE0SO0d4Wh72sPZ5D3hnWVN3DFfJG4bk05wvyOvrYXHNT 8ufTG3p2KM9MZ6U5Xs8aqTbq4TfSk/Ki7vw3s8aqrf4TasifI3aENsX5Dvkw n3WUF6EL+WrWeCb5WXBe8ZpHk18fvkvUUy/JFxpT3LP14f+Y2VmjGeE7X3e9 emxW+D9M/13qwb3wS+5dnuvE+zPCc2vOxuH/AN396pG26JOhE/kqxnQgbx/O teZW5K3DtXi36rXpjtDdoDXegH41vaE7ow36pPBYfbMaPiOdjTzVk/zC8F2m /6j/AaZL34c= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm01lMU/Rq+c8sQXkpSUhENShTRJEklSa9Bz7CQhb/M8zzP82Kx9CpU Ty/VQ3MhSqbmmSjNUWl+zZO9197fev7Y65zv/u7v3nPPPnff3/3q9r87/67y mUzmznKZTAXYZimTKY5MphJQDfgpm8kMAArh345nh+DXgL8V9hdgPPAZMBw4 He07YWcD9eCXws4FGsHfB7sQaAB/D+x8oBb8HbCzgDPh74adB5wBfxfsHOAc +HthFwA14W+H/RVoAn8/7CKgKfwDsIuBEuBj4BPgC9tPgdHAYD/rhP6DYEcC veFfAcyEP8HrKAa+9HtDgPPx/DfYpcB58A/CLgHGAUVe/xhgKDAMGGvLZ195 DD4bldW8jGOi5xkBzAC+A74HjgDL3DeDuf70msrDX+G4jgJ/eE1Xor0r8A/8 CrB/ec4s/FWOJeCvdrzl4C93bsjxWq97PbDOcVVE+0qvKQ/+BthJQEv4LYAp WdXFZtfGxWhrBXwLvzvsVcBG+N1gv/G62sJvA0yD/wMw1Ws+DPxuLnrheb7r rtS1QA52uhbI3XbXC/O4w7XGfG51XQzMqnbmmvvdrjVysMd1RC72uh7J037X Dnk8aJ6LPccox3bAnLM++oXmynE52v1yNVfiuL/0b9YXa+5zzz3GHOVqZYzX VuKxiszVWMc03r+Hmyv+3pRVjplH5pu5Zj7/zoqvyVnVRQtzcAFs1RCfQzw/ 4yNv5Id9tmW1p5lDcjXD3E01Z9PN2Qz/Lna9MKZ/XROFWe31RV7HIPOV23tz smV7cp55GWwec/t2rp8PM0dF7jff+RtqHnN7bJHzRA6WmS9yyD07wnlb4niL /WyE31ns53yHdUiOEta+xnkmH394bHK53Dzx2RrzwvWvdRu5XOn88tlq80is 8nO+/6fHZv7WeYyp5pQ5Pi7EJXk8Af4xUcYr7RTP8Zd5vNoaQB6Xwn8hNG5f 76ktWWndNvNLTnY496zl7eaKPOw0F5zz2NDeJ1e7zQNzv9f5Z14POq/kYb/z Sg5LzeNC10SROdxjDpn7A84/62KX+ScPh8wF+Txsfpg/atMY55UaN9b5pvYx H9RIalyOK2poicc73nuQvFETx5mHo//j+Yi53uD1TzI/1EpyxHxUdvta18p4 80CNJhd8XsV9mI9zQ2vlnj3R2sjx86yled6b9MnPSaF9yHzUDeWyA+zJHrO6 NZLaS83k75+zep7nPuTztCjjuXaIW+5RvltonuuEck+u6od4po63sm6Q54Yh Dsn/WVHG4dmhWiCHzUK1QJ4bh2rhb9fuBtdI89Deuwz2Qq+X+tTSZ0fu92TX cQu3c10XeG0Xuj/70l7kPt87Zp4vt+I7ZZT3zCWh84l9aFu7DzWMGvcjbEf3 Y58eob30tZ+3dZ/LYdv5Xba1d/s09+P85LyD808+L3Oc7TwO+zLejp6LsVzu 9oLQudLJ+7hrlOWgq3PSOXSWsIZp+Xum3+Vv7mvGdalj43tX+l2eEd29ro3+ TZ3p4/Xmzo9uXgvnYCwj3ecqv9vN/RkbbQ/Hew1sT+sMke+aZFwFXlc1a1Gh 23s7Zrb1cv/q9tmXe6G319jJ+aFGXRvStS1eRx/Hn+/2QsfWxzFT3/p5Lu4r fisMdFuB2xfBPhvSlZmwj4R0aBbsoyEdmg37WEgn5sA+HtKPubBPhPSmleuN nA6AfcjxL4B9OqRVC2GfCenZPNgnQ7q1GPa5kD4tgX0+pDHzYZ8KaQxjPzW0 JmoN36PWVUPNV0/Smo9ZV0m61ikpVsb5CeskSRM7J8XNmLslzcHxOyStmesd zBpO0sSOSevn2l9mXkP1/jtwXehb8Cb0+SD0LTCIdZik3Rvgf2Q+r0fbXSFt WMk5Q/eJt4HXXUtDWLdJevop0CVJ07sm5YtrHsY6TDoPeiTllPnsnpRr5vnD UEyM52bYG0J1+irwQ2iPvhaKifHwfjMwdFZcAv+90N79CWibVJvtk+qDtdEG /gOu24vgvxPSkfOSzmCeGy/CNk/6vh7KfZR0VrWAfSOkZzOA/kn7ZwW5Ak4B 3gRaJmnGOUm5YB4aJY3Fceon3c0Y89lJHJPfBkl1wBq4A/700LlyVhKv5JT5 uCUpJw2T8s6c94N/Z+gcawK/KHTWNoU/PHTmnZnEMfk9F/5noTP1W2Bq6Jxr nMQTOboHuNf78Ta0Tw7t4x+BV0Iafz/wW+iMWg/7oPcO2+5z+8OwU0Jn+c/A L87/xBDf5Ppd2FZJ+vo+0DpJF1mby9yHtVbiemNcbzk25n658/+A5+D433lt XFc7jDfN+ZwE3BjSnPGw40Lfbmyb4PaRoTOJ5xHfIx98tyJrIelOvBsoDd19 a6DtlKR77SHmOHQ2HwD2h+7We4F9oe+Do+QzdIdeDawJaUQVjHF80v27HPdT 0vm9E9gVOvupT+ud582wm0L38u3AttCdPvBeSjrvK8NWSrqXrwPWhu7ltdFW K+l+XA+2btK9+R9gY+hbpA7azkj6DjgW9rikb4stwNbQN0pNtJ2W9D3BmspP qquqsHlJ9/4Tmb+k74w+SVpJneyVpKHUz55Jmk49H+GaZj2zfnsn1TD/5+ib 9G3HGr8mqc4LYK8DuoTsSyH/P5bcgH8= "]], Polygon[CompressedData[" 1:eJw1lfmzl1Mcx5976/mcigqhtOmmW91WlUql7Vak0IIag+QK2bqGMfYtjW3s MkP8AyL7FgZDkV3ZKhQtUiipqLR4vb2PH17z+bzP+X6f55zP9lTV1U+eVVkU xR3QEOYHPjSDxjAL3oTmsKEsioewb8NBsAl9eCqKQ+Er/J6svQvvwBL0wdiL oDX7vbG7tYbfHL7E787aE3A1NIU9rL2CfRV+w38cOvDb9vANfh/WX4dLYX7p /1wMRybv/cPaCPzhsBx/L7zF+nOwsfSZ5Z/N/sl5rQl+M+iGXlb67D9Ay3yH Z7BnsT8O+ws64ZewFL9L+GwdoW/4jLpbC+gRvuMu7HmwHb8j9nyI5P/+xdoW 7LnwJ377cCxbQa9wTI/AbwdHo79GL8Au1u9gJFwDRyXHTnfeh54BO/A7YS9U rpJjvZO1Z7HHoAdga+ECOABdg/2b/Vuw3dENsT+i2ySfQe9WDg9MjpliVZNz MRV9Qs5J2+ScKBc68yHomdhdpWPSNPlMOoti3ij5DHp3V2w9vKz3wELWWibX kGpHMdGzDkuuNT3zBexg9DDsaHgeBqIHY0fB0/Ci7ghN4HtYmXOrHF8LnZJr ZQXchK5BV2JXoRsk50y56oy9DqpZ24deWbo3nsrPVo9cAcvhV/beh7789i50 C+gHj6oGWJuK/Z39zap1+AS/HXYoe8fBB+ot9PXQGb0f/R3ciO6KrlCdom/A dkEXuht6CfbD/Gw9YwZ7r4V7aQq2UG6T7/JF6drcoxrKNbpXuYPPS6/t1N3h M3QVtk65CvvbWLsZ243nNcCuLl17FejqXIOPYYclz4It6MrkM+jd1f/Xvno4 98Bk9ibBT/iRc/dkeBYph1PYOx3Wst8I3Ue9AevQ62Eba1vh09LPXKM6VkzU S9hboYd6OPyO/sk1o1oZCO+Fe6Q250yz4nLsG6VnhmZBfa5NzYTL4AzWxuYz 1iXnWPGfpPuhF4X9iTANfX94lkzADkLPxQ5X7vWecI+rtzWDh7D/CHZE/s1t 0Iu1FI7BHGzv5FgoBreHZ7jOojMdm9wj6o0hMAD9YPYHhXt3Hvaj0j3cD31v jkX/8KxrnNybmnmn4Z8Ka0qfYax6P7n2KnJvrYZWuceUix3QIedkg3oD2sLH pWv/j/DsUw/U8qyRyb2oHlPt7Q7PTtXgaPZGJfeeekK5XQetc46r2LsE/9vS M1m1vD88C1XTK7BXhntT35jpylW497aiz1FuoI3Ohd4YPrPOqrXZ0DO5NhWD aaqjcG1tRl+F/TnXumL6cM6xcqsZ9RLcHf6WasadxN74lGcN+hR9m5J7STN4 HP6Jyb2umXQ8/pjkWaCe3x7uSfWiYrwqfCadRTlYG76T7vJfjGB6ci2qRu/L NTkh1/gDuUZUG5qhE7WX/C1Qz9yTa0S1oW/IwvCM0WzRTNsUjqliqRyfqViH Z9k81u4Mz0TNQn3D/gXDfAyn "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{32, 1, 5, 36, 126, 242, 143, 214, 295, 296, 177, 243, 144, 215, 297, 298, 178, 244, 145, 216, 245, 246, 146, 208, 211, 210, 142, 201, 176, 241, 141, 239, 140, 240, 175, 200, 139, 174, 138, 307, 306, 125, 237, 238, 234, 236, 235, 124, 231, 232, 228, 230, 229, 123, 226, 227, 223, 225, 224, 233, 88, 32}], Line[CompressedData[" 1:eJwt0tkyl3EAx+H/35I9oiRZs5wgmSGy3ESX0AXkErLTTGeRnbKvR9ZkrWim 0DTDQZTbSCieAwfPfH6/7zvve/RmP6t9+jwYCAReccgP5vlLO6d0cMYSF3Ry Thf/eE+Yj3RrqPZouK5orPZqjPZpnH7Q29qvSTqgd3RV7+qgJutbTdE1va/D mqojmqab+kDHNFvHNUe3NE8nNFcnNV9P9Be/eUmVrYZqmt3bmGGWaT7yxLMm /cIOU1TYGvU7Jc6ZZJHOqC1D17VSN/SYI4a4Z2vQVrZ5R7mtXvd55HyLRG6S QDzFRBHNDSKJ4CFBQvjv/YBeSpHu6h7LPHav02+8oIUyWymLzm/4ygKFtgJ+ Or/mD3N85hMH1//KFZjhRPM= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{319, 318, 322, 844, 835, 836, 834, 838, 837, 730, 840, 841, 839, 843, 842, 731, 846, 847, 845, 849, 848, 732, 802, 904, 775, 833, 743, 831, 742, 832, 729, 321, 320, 319}], Line[CompressedData[" 1:eJwl09VSVWEYgOF/gzoiBnbHVkraRkXHa8BuRBELsANbVEbFBrEL+4w78BL0 zBMVjBkLxe549njwzPt/31qz98xas6LFFYXlkRDCA+7HhTDV8FkXxoewgAl8 Ms/XHlzkAuP5aD9Pu3Oec+TzwX6uduMsZxjHe/s52pXT1DOWVvvZmsQp6hjD O/tZ2oVaTjKat/YztTMnOM4oWuxnaCeOcZSRvLGfrh05wmFG8Np+miZSwyHy eBV7DtqBgxwgl5f2hZpAFpmk88J+uLYng6fmhwxzziGbS/QkhTskc5lFFFPE EhZzhaWUUsJylnGVlaxiBeWU0UAqj/zndf2ig/WZPqbC+atO1AJ6c4terOGb a6t1HWu5RhpN9jf0uw7RKM3ON7UPP5w36EbW89P8nCdsMm9mEpPpx236Uskv 92zR37pV+7OdP+Zt+ld36AB2EdhJhN0MpIo49hDPXgaxnzbsoy3VtGOK34wy NPZuSCaFVNJIj71HMsgki2xyyCUv9hxIItDqW2niHndppIE6qqmkjKLI/2/r H7t4YkQ= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1GWQlQUUgOEPli7pElC6Q1JaQBEpcekupVOUklIaJQSXLkF6YenuTunu FES6JZ8dfjz3Ped8c3dm78y96Zt1DO0QJQiCHF6GRguCBSFBEFdH82v0IDim 84lqDiEaYyK5/aFvNUyP63h9oOP0fuRz4psTEJcF9ngarh/oCU2kCzWhLtLE ekofsoTXvOElq2jmeVNistLeRM/qEB1MDFbYG+sZHaQDic5yeyP9Sw/4Pw9z nNOc5zLXucUdHvCEF7ziDcm89yjPeMJT/mWUvztX53E48vOzH9FD3GKkfY7e 4y4HGeE2Wx/zD2PtN/UOfzPcPksfMdQ8jP4csP+s+/UXvaH9dJ/20b3aV69r b92jP+lu7aXXtKfu0u66U3voVe2mO/RH3a5d9Yr+oNv0e92qXfSydtYt2lE3 aye9pB10k7bTjdpeL2pb3aCtdb220QvaQtfqt7pGv9Pz+ooo5oDb5v84R3P7 ao2lLWnFOntDXaZx9Hdis9TeQGfqb3paF5POHKEf6UkdoC90gv6vz0luTkoy kpCSFIR5llo/JBVpScNY9/SagY/JREbGuWfRrGQmO9kY755Tc5GDPORmgns+ /YS8FCA/E90LaWEK8ilFmOReTItTlJKUYLJ7af2MUpSlDFPcP9cvKMeXlGeq +1dakQpUphLT3Kvq11ThG6ox3b261iCUWtTkT/c6Wpfa1KceM9x3+x6tYTWr WMkKlrOMpSxhMREsYiHhIe9/o94BszekNQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1627, 1434, 1515, 1626, 1752, 1650, 1751, 1651, 1753, 1686, 1887, 1687, 1719, 1718, 1629, 1720, 1892, 1721, 1893, 1688, 1890, 1732, 1889, 1628, 1888, 1737, 1736, 1735, 1652, 1852, 1853, 1734, 1627}], Line[CompressedData[" 1:eJwl0llTjnEcx+F/eCpSEsqSJdlDeQNCsq8VziyhkOEIlZ28CMpelldg5jmi Q1SyNUO27LJlLfvVOLjm853ffXLPPXdG8faCbTEhhCiXIiFcpIWy2BAy4kIY zQhGMZIt7uk6nCEMYyib3dN0MANJZRCb3FN0AP3oTzKl7omaRB/6kkCJe7z2 JkIcsWx076m9CPQghg3uf/jLT37zi/V08YNvdPKdYr7wlQ4+84l1fOAjb3nP O9byhnZe8ppXrOEpz3hMG09YzUMecY9W7vOAy9RT6r2v6HQ9qi/YwXN2coxV nm3VKLuoocStWjO1XK+Sa8/guD1GK/QaM+1ZnLDHaqVeJ8+ezUl7nO7WBvLt OZyyx+sebWSuPY/T9gTdq03Mtxdwxp6o+/QGC+1FnLUn6X5tZrG9hFo7Sw/o TZbay6izJ+tBvcVyu4Bz9hQ9pLcptIs4b0/Vw3qHFfZKLtjZWqV3ybGncaT7 +0b+/+P/AAcGYPU= "]], Line[{1514, 1470, 1474, 1475, 1476, 1477, 1600, 1685, 1851, 1684, 1849, 1683, 1850, 1714, 1848, 1681, 1846, 1680, 1847, 1713, 1845, 1677, 1843, 1676, 1844, 1711, 1731, 1673, 1842, 1672, 1733, 1709, 1723, 1671, 1706, 1670, 1882, 1881, 1645, 1880, 1705, 1715, 1708, 1891, 1707, 1724, 1646, 1883, 1674, 1716, 1717, 1647, 1884, 1710, 1675, 1679, 1886, 1678, 1649, 1648, 1885, 1712, 1726, 1725, 1727, 1682, 1514}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3k0ld/bhwtRKpEyJZSUqWggRB/JEFKoEJUm86xE5pmkIsmsgxzzLDNl aJAyJDLP55iOc4xJ+dZ73t/+43nWtfZaz372Xvden/vad9tB34xhw4YNhvTH /787uw2XlCVnMVd8X+Las58wZgw1WPCbBSKucw6OreBpeaOp3cQs+GNuCS8c WsFNEttWZQ0KAk70PxV2XYbwydTM6GQKZq+UJ34fW0IyQ2Sh8E8KGt2+ObZf XsKaY6r+hM4c5jiUUz2/LOI7m9HpjvQ5KM0Q6i5qLuJYYEbC+H9zuFMrxNj2 eQHqdtoMuwyoyIi5djdcdwGFYl/SVJ5SobLt3vd6pgUoZx1jcvtAhX/apUKH qnl4Bg13Ff2l4riW9jZfp3nk9Wrnz8nSsJSYYjwkNg8Nsa+bxBxo0K+/8YL6 gYarUQr5ao9p4GD4y27pR8MlKWmZWxk09JRVOzop0kDVr1T2aKThRXe3L/Mv Kuwi1B9EDdMgt5SnJFxKxU0TF4+5aRre925vQQIV1VysUhrLNIjJm22296fi 31npcMJfGiyEXzflWVFRX6CtrvuPhqiKD1tZLanY8L8xD/P/DSr6YpwHDOl8 U3h5suEuFYKHiyoK6EzrWfQUvEOFVMu1XYOb5kGQ6Gh21KKiOes4WLfOg+WV 8ZHOo1Q4L1fInmSfh+M3IQ91XipI3rb1DfvmoX1rotLvwxzaVcNi/aTmUasW bLQ/eA76L3sCTyvNw8fjXOJR9Tl84KVcWtOaR/QBL+Nc5jmYdWp+KzKax7DP qu+zjxTEZ53esuf+PHRVqsUCtCjg/GXywO3ZPHIsvEtWWmdhRTqv/yl7Hr7S 3AEdl2dxsiahfvOHeQTLDoswDMzgtq5O58nReVDN57Tu353BvifKBwJ3L+Cy zsXcJt9plNI0b7lpLsAg50fO5pQpsIk8fsLotYBi5b7PnU2TmGLSPMJZuIBR CaMb72fJcCjqEI0aW8B2Y4bMkN1kNITdSrbbtQjjWzdk286QIC9mQeq+ugjF +/clTXkncOGh8pBr0iIiQqMUJpbHoJQ11ftnaBE/ThpOT3eOQjwRQYwCS4j4 sn1tX9kIOMSyc4SNlxDAb5TbIjsM4/IuyvjzJVyytNjgzDKIjfUnXWo/LqHi tMar2KE+VPz0PunHuAz90xsWW070wJ3gn0aVXUZMcBDzYGwX+v6c/xVqtAzv edGP52I7IUT513r53jJiS2OG8193IH0lbMIveBmvc0X2BPq1QWHanyofuQyu 8I9bMNwCvy29eQJRy3jWE7BYydgM9toHvReeLuOhpAbhjNYHnCYwVFn4L0NE 6GHbYFkjzrlIf+V1WMa//K87buvU41USyxHpy8voralhNt1fh7XosN8zJ5fx lf8Oy+PiKvDEH7Ax4VqGXtv+xKsh5VBmZaC9oi2B21JdqSulFM+nXSmzjUu4 zuolMbKxGDLm7h3BUUsQL9xQdeN8Aahvsluabyxh8xvmlVKeHNAaV6/zH6Sf l/9jvr+3MiCwmVFyfnoRhRzdhiTB18gssLSryV7E4UjpuT/nUnCYkdVnzXIR A/HCSubEJMg3yGmNcC/iSvW0oFp2LGSF3PyCmxbgH8v8UCXgBX4rTm0T8V2A zPKXmKqCSCiGT49vPbUAWTf+ybSgp1C4HLbJf2UejQ8fm9y/HgbK+Vfx7wvm MaoWckSlNRjCho0226zn8eqEzuyFhgBoVQV5Bh6YR9lFtsTEg36o2C/gn1VH gzznUqdDlxdOR820nZKh4fvpBj7qBndQX58d2eFKBc+pYs9rYS7YHVcnmVA9 h9tel75KzznB63h5vwzjHLTN1C3U/9jB4u0GCF2g4Ix0Je/gUSvYZe9rDkmc heqH4MZ/6maYlf+x6zF1BqZWwzeW2W7DmXN1r5LqDKY/Jqhxtt7AFaX3XRlJ 03hdkZZ11cIYM0VxT+JHpjDyWmf4xgkD3IqLOhctOoW856UvjVv0IeC48Uy4 yyTS2i0OX2bQxT5Nnyv2H8lIEn0w5uikjQxpmZCDAmTU7eP7fDpbAwbSbdxJ D0kIjtZkOhOiCn0dh1sVvRPIerbbdu/0GTS5Nm4nbpuA8IcPqqKHTmPwOqvR BY1x/HZLydhLkMdU/PADh0djuHlcWbzmtwxUSBbRH7+NosAm2EZu03E028r5 7xYeBU90ZxU5ThrSb7gP8bqPIGhuo8VuucNwt4kuPFQwjCsFJPLeWTFckj81 68kwhA9lNhkiSgcReSk36KbtALKiwpeGjIQxLRu3KWu2D8dW2iLTt+/Dnkvn QxR8euH9IP+TtKMArDbOv2Y+2INdsWuHjT334KJN2ZFtw924JN3Nx8jLC/F8 30aDrC6EGQ4xsIpxw7Pvw8Ih4e+40XYtMU9gNxINNfQtKr7hJCuvfFk0J/i7 73CKWXRgbnTPtIHzTnDyjF9OO9wOV+d85y8EDmzx30c13NWK+5bZDSycHJhc d9pk97MFLXp/mne8ZYfu47X7NwWakXr41664ZHbE32UWuxnxAay9UnGjQ+xo 3nZpF1m1CVdnfxqyuXPg7zSfpZRMA9zjn7fuddyJ6R6zZVGTdyi/SNy59p4T 7WsWpKrbtRjJ6TbdFbQbcrkSDJtbKnGFFLTlrAYPws2DQwfSynBu66MAk8E9 uCAeJOI6XIJj+wntBaeE4Hz7fG2TUxHe9J7MsBYXBqs8U6YRIR8v9C49uTFx EGTOT+P1Y9lIvFJdavdKAvxmUgzO8Rk40hRkltkuDVEDF8eJiTRkHe04F75Z Fvq5jznwngBXmbri4uNK8D2V1UHWSASvcVtD+qOzYK279MCwLwZzw85C3421 0GrasWYt9AIa31hb1El6+MSi0cT8NwKS52/MtDga4bNSfsP28nAYhRCevmq6 if+IzFsvST2C7qcUBvMwM5CpwQLJe4Jxcnpt8HCVDfI/2viX2QUg4NCiJd+I E66ExjPJ8/phdOC+juUuV5wSPC5Xe9Ab7UarRZ+/e6HknvKvqHR3uA4LPzmh HYC/SzHy5cmueDw1v2NlNRR5kXtWW3e6gI1NTkN6RwS+qdG+lI05Q/s/IWhn vEC/pmtVOpMTnKYYdVIfx8OKcTXTcMQe/ZuDEsxZUzBTnntux7A9HKbfs2tu S8G1Wy4MHwft4dv0p1KCLQVnvl/s9h6wB3ObRAwbewqOkhSaZPvtYXnaJHOB IwU9ljJfqL328Dz3bO47ZwqEn6uxm/6wR00O60gCdwqC9ENq2r7b42dwfeqd PSn4pbvQrvzNHm8jB2UkBenrt5BW6ivsIdPyY/CIWgqinpqn2ryyx4YHnKkB Nil4TbEsVgq2xyXxlwclnqegL4GyUc7OHkm5whwHK1OQqJa1zPDYDp3cMs+s ZNLQV+zGxVpmC64t2c2u7a+hG7P75/gc/dy/XomODifiknGdsuQxG+j/Hacc ss1E+obeFwH+1hBuixYvdcpGK6VoOf2qFVzc4oTLiPkQGHJjco63xNOfi0zT W4swE+tXO0C1wMR2fTuDxWLY8DprxDtZwEVsT/g5ev78OipxzWGDBViH++9x 3yuDSZS7L3OCOR79DSulWFXgvzmRRbYz5iDPrmishFRBaC3ETnHRDJGeeqom bTUwVt6dSqw0Q6wpk97n1jo8sG4cUgo1Q1WYwhPDB+8g4/ladOi6GQQFiNns 0fUwcphTNlMww38nLqjuampAZ3tmTPFeM5yYJU32MzbB0U679QGDGQxXJzMu V73HxmYY7168i6gRnkKlpx8Rl31i8BLlLhwGxG6J+TZj2d7z2Pr8XVBm3V7Z R7RgZijGeODfXTgltqsKvv2Kh0s06w88ZiDqhFT/29SOU69XTuWeNcOOS3Zv c9w78NtVZijY0wwKywSbVsZOnBRYn9vbaIZsjf4bhwnfYZp7tfksszm4eBLf Gf7pgtxNTgN5fXMk4cF7xls/EDMg/pBCNIfs+av1q209EP+l8/oCkwW4FU0V OtX78P7zne7L1hbo7pm/zdnUjwbygYTVHguU+wS086gP4sCQIDXY0hLppZt3 +nAPw8veVO4mkxUmeEMUhVxGcDLRIT8s1wpBzA4+GddH8eVpdfWuW9ZQcZKs 6zw7hi4+pXXO/TZQNWysPXZwHD7ZZNl0mg2u/tBMt2ak54z8FkNKsy02Kd2r OdM3AaZtM9eTm+2QzqrWHlpHQoHVBB/o90Fdxv73o1gyvIt4P/OvOaBeZsRD 32ISiHnE9umFI7y+NjQfE59C11nWvd4yTmA/wHSqhp6Tie/STCeHnNA42Hun Jmwa5TQdEiKdMSy9+62s6AxCWUwZm8/fgxWnlur1yhnMCqqXigTeh9eGhERK wCw8fMPtczpdMNb//CWOU2BQ8kCaoOiKX8I6WqnNFGjcxZr1OzcYM7z4Eac5 h42rIpUvbrrjyLBAZ/mbOVg7Nzs1C3iC4PJQzJ2dCuE7O0J6171gfkSIQfYa FXGS1meq133QTygI2Ur3ibnlQQfiET8Yslr96Oqk4qVNNofvA39YeY/z3d5I 944vlWGxPwJgSdwfHidCQ52/b/m7S0H4foj2lVuFhhPsd+yplGB8ZvtHOG5E Q63flu+n00Oxv39hnsWKhqP+HuO/vMMQFtcc6OlCQ651skSEZzjO+hxY1PGm QV1lsDGD8BTKKnUZuwJpUPjvbw2rawT8/7Nm0g6hwW3r86TFkkicGd4bpB9K 75P2HSj0VY+C3c/xeBH6fLPiC/uG9RcYGz7J+jaAhur3bXKdvS/h5hV15S79 ++NXf+TsHI1F95CLq7or/X/3X/4nxpWALXp/ZoLsaUg9UVLP4ZUEvqVfLTJ3 abCL1fu9dTsBD+tdlW7Q9/PrmDTnilsKzEg0ib9aNJRed9/RzJQG+86Mvm10 f/PdFXLzbMlrGM5VlLtL0LCDoKFlFEJE9YqU4DFeGg5Ei/TIBWaC5U70d+5N NJgG5a0Y5GUj9OSM9lYaFWoxomlWzHlw0En9TO6mQuZavscYVyF+npVlUCyj YrVli1VwVxHetlVPfYuk4nHL1uvujSWIChBUVqP7XukuWpY76Q00qM5XBBWp yG/L2ZKjXIGCcumOoS1UcPiwucX3VWHyPVFtoWMOtXkZjDdu1uLqSak4lYQ5 qJs3yu9jf4d16aBJEdM5NCTtWHz4rB5vDwk93rF3Dv7Eosv50o24meAkaPad At7fJqkXfzbR64Zh0SOQggYp8XvM4x+QxPBULUaSAkV9hbLHa5/Qz61+l9wy CyU2x3fJii10X7Py9781C3G9zODV/K8oyVFxsqXMIEmlci5OrB02RVxiYTYz ID5bbO/R7oCWrihf3e9pSG30uuXt8w0NrKdfjtD9zU7/zNTfpk58OHm1/Ph/ U/jNztOXy9+FbUSJ1hn7KRgQ08PygrvB88h3VqxrEh59/4VINvyAqM+Ierb2 JHZ6zLALsfbiZT3PBYZKMhhyWBpFbvThvzQZ1wR+MpoZvcdSa/uxvFk1udeF hF3r5snlhwZhv8j+hr9pAsn/4lKkEoagkNRn0cg8AXvH9AyO7mFkCB922nxz HLWbL5S8CBtByN79r/wKx5AW32PqJzGKYbYtOsOro2BiOGsw+2UUB8hbCIMy o0j7yBJcZzeGoqOPnbWsR2D678vQLuoY/OvlInW8hxHHaiNvZjsOHoeeKM89 Q2AJI19vnBwH8WL3/MXcAWzOb1IVMp1AO0OV06Gj/aBddXFT75gAB6HHPSW7 FxeddYndiiRIvOw/nM3bg3RlarMqgQQl/mfZ4T7dOP4r7Fn3Ggl9bzdRNw19 R2cZ+1FXOTJO1MWGkJ91wmxQUqXMngymX5Fcs/iGuq9mIn4JZAieSYstobWD c9gksrqWjGss21dVVNoQQe3nCmsn49D7Ut3Ek19hXCzLF9pPxpnQUfGF4y1Y tzBYkBoiw1BNKLhYvhlvWMMKNvWQoShRV26r/RFDCs2zCZ/IkDc0Ea20eQ/i pRNscQVkjCRVyEsmNUJVW7a7JpyM9BxWGsbq8dJKs4pkSgbbxJKhotI7CP6e TNstRsZ0LX/ZaXqdH5GlurtMkaBdEEjb+rAKOcbnVw2SSdgtfK3g2MdyvL3a rS5/nYRiuS0Hi1vegPm8rmo9Fwnh4zpv8hZLoLCuyq3VMoFti+Pb504Vo5Ov 7IqCxwRc9I3tu4iFWIwLyt94aALMYXqPSHfz4ca7rMXVNo4ZDdZxluocrGeO 8i3eG8eflIRVDp0sVKr8lWbnGsfO6cMPXnNn4M6eCd2ZN2NI3sD0R4A7HSS5 FmIJPcdiJT6Ezv5LBYXl742atlFo7hT1NxJJQabKi5Is41GU/YyaXmV4BRvZ 5y47SSNwuLePorc3ETv5uZm8HUZgJaL7nuNZHM7EfGX4tDyM/BvmbQYXYhDR mK54ddsw+hXqnu3Vj4Y0wzLx9sEh/PR7w6z6PApphf4fPc4OQmyn/mogy3O4 3WfgFL47gKPnP63Z5kSg37rS9l1oP/bKKF2LmX8K1/Q/GRlFfRDq1Xmn9i0c 8jn/xd+m+9EdrexLNNEwbOj2qLY07IFhg7z6IC2E7i1FhVwKPyDDX+l4alcw YjdEdScc6oYmzcqiJjgQ7YRP84xCXajf6ya/ohCASXLUftB9iX//yRPfD/rD qN3dTPRoJxb8pNmlVfywm3V7TZgmvS47NORsg33h5ZprJGLbgXxuasL1AR/4 WNGm82PbcWtDa6zWjDdUKHx2hUlt2H22VSRbyhtDP2GYyN+K6xOGvLNEL3C0 9q7td/qC74I7XZ2VvdDjHvGQe/AzCLzaiQ07vRCbkxVnbtqMDfzbXVZ5vfAi cal5w+pHeGTU7bG75IXN9wT0B1I/QFT7VtfzWi+E8DRTf956j8ZlpZ3Nht5g YHNdNDjehPrEy23n9vvgz8Nt9kzPGvDWVXhbsYEvQh/5xNxnq8dH6kBPvIEf 9iY+rX97/S0CPp8IG4r2xxGPs8Rb/TX44v5dW3dPIMa60LkpsgrXb6i3FdOC UFpY4n/GvQIp/bEg7w3FqTieT4xRZRDTu7fjUEkYhDaKHc1SKUWa0vtQi9Wn 0FB1FS1RKAaDdwKb7oHneFPkR8q8V4gjmwuEjjpHQ3C4tmTqax5uP1KVi38c B9lTCRNxe3PQMfSisORVMohrXgYaXzIhITShyno/FTu8RtaFOoh4FTXFfegK EVsmN4rqtROx81kAgcOQiATBktt+bUTUmtQZrBsR4RS8lFvUSoTmUqLCpDER Kh4NzGNfici8KHz+2zUi2q4LOu6kM6fNlce1N4igTi3eutdCxLAfr9mL20Tc 8VmN/N5MxJWzeSs25kQcEBLdIPuJCO8QaSVVayKStC+lc1QQ4R/90nEogggF a2nvTZlE3Ju2SntXToSwl7MrRywRh9Tz9GeHiHixt8NLJpQI9u3x6zeYM7Bv rPZsBTUdPZ4ctH+ETDhPOfDp3khH+kuVo1eMsyGfntdX3v0ayhyvy9xO5GIh 1ncoz/A1TmiOH391NB+Xv/+aWBpJg8ily7NbxQuxfPrJfinFNAiYrUrSqEWI 5f7DrJaViquCWgWrpBL4Lrxn1D2bCuvD5gNLEW9Q3ZOZe3UyBbGFsl4bTcvx vF0+mC86BVQrnwd39CvhEva35OL5FJTP/Yq5ZVeNhszUf1J0LshxYTK3r8aI upoOO509SUzu1g7VqLpBTpzXToFTF/GXvWM1Ts0EUdvpPPHGxPeeUzV0x4VV iugsWi/M4eZcjfPPr8050ZkW2afqd78ayalPCcfo/ODdcGLYg2rkjFeaLGml QFFQhveFWzUO7Gu55XkuBcG95xt/h1fDe//twM3qKVBJfv7aIaUac4SGhpiz KXh4aE/T4ptqWDNJ84ufSQHZc6NY4Odq/FP3aX4slgK1DH0ezYQapGj/mRGi eykb/7rXW6da7Iv4VUv+jwDb42LFDBfqQMwyjuybpvNX4crD0m+x763d+7Vu AkLcV2MPb3sHhkv6b9mzCBh7pKkzZFyPiOsu6qUBBOQ9k4lMqm/AqFyX7Rtz AkyMhrqNzjRBRp4rc0qPgJhKdb3RvvcYFDPNE1EjoPFHk+8E3bfqHwjpaSgT 4DRL8Z243oyZ9j213OoESFoORdX/a4Fpg7TA2lUCPgs47jn+vRVsO5S7MjwI sFSePC811w6dN+CMTKGv3+B6tFbpG4Z09A9GtBPAcTCCoTCpEyWWFdlPNqeg mZK3fWlrFwaUXFwfaKbAYGHtr2RINx6evpV4KioFTc45bA3be2ATv/P2NxLd 09kGKnuSetEtFpclrJIKwiW7Z7fl+3F/n8qCVUYq6vJ4dGT6BhAkFGWUsTsN 6oNXE0e8hsC0sdh2LDwNnv+et9LYR9Dx9o/4we2vIXfvyWzn6AhYjL8x+L98 DRm+vzLXCkdBEqvq3iKWjprSA3cve4yh4mDv8r1D9Hsqx/CdUDaOT1slqCOb MiDaEdHTkzmBTSMhxzreZ+DUqqX1gbsk7NPW3OwZkYklw/GDKVxkNEQbu3OZ Z6GqXqC67C0ZQhEufX3q2XiSOrxv9cYkAvVrGjcfz8FN63FX/uVJiI017yaJ 5+LdxEZBZp8pbOQuW648kocH3uxzpf+m4C/X9LH7dD72xycNqz+YRsfXjX80 jhbidxKrkPipGbCvNFsrihShUsIjv6FpBkPGbm93iBdjWbtb64r8LPbobp6L UC7Byqtql/D4WdT3C/kkW5XCbdvZIwIzs2AQ5nt9kPgGgRl758rFKJjnmpE9 tFoGqW+LjvPGFGTMnGzKu16B+0/EI077UMAXmxL0o68S+1wX2JdjKNh39acA z+9qmDj2MXzLpM9z1gioq9dhY8wTh5dZFNhe9ClUuvUOE3vZrAUSKWBo8/H8 V1GPw1trIwf9KDjxtuLoPslGPPwa3zZtQsFI5miJfU0TCClJjCwSFOyu3LC/ yeYDjkYPVxTRZmGSyfxti+InHM0X9RDNnoXrm9XxI1KfId3cknrPeBbH/hZv 2a/xBcpsx9NsNsziitAulk9Brbgdv2u9NmEGRZo3jT3z2kHaR2B8zD0DZ65N HCdlvkFgeGvT1oBp6NmcuijW34kirctn1wem8OvPi6hthC70P5dc7BOegm3q 4vldgT/AoFJ/bfbKJDgEWlneBPeCh+vSd3knMmqj+WSNiP2Q3Ti6PfUeCdKO Hi0rw4Ognds03m88AfOaSBU17hGUDDQ4RR0Yh6GU0P4SllHYG1AXnnKN4eu6 uEri2ig+Of+X7LA0gievrJbPT4/B46V/7jGXYRySYeUZ7xjHseDVBqaeAayc cuhlypvAZg+3YgGOPtgf/PtKWZWE6zx8ogdGfyD1+YIjZwsJ5NPOxrGvulA5 7qnEc4gM0b4rkUFfOqERYnB91ZmM6ibdPYorHXjyYtqwMocMUwneGgi0Q3x8 t7pGKxlNp7Y4C8V/wceLUIr6Qe+H9a5ck2RvxpFKy5iuJjLEVM+lfcp9j1c2 GdIbUsg4wsX/c5NoI7I/jNv/sCKDnDUQ2PT5HRbSBsZYj5CR5Tm+V/xXLaLM Hu7UJtG9RJ6Niz2pCg1vLo9tjSBBtj3RhRxSDtKJojVmKRIUrm20fVVVCqUT m31lGyeQ7+JpZypTjMGq1CefdSYQc/vlXaG5AmTrXqrnax8H/77C55I/czDz 7ENitPY4KKRICxWvTKzkBBYV1I9hptbZeqdbOiwPLTh9Pz4GofUnEtf6U5Ez cmruatooPsjzG8QmEKBA6uZy4xjFt7rBFUaTJAgkB8Wc9aH3o4cfNi5ti4cw i7qDYf8wbP2evQyTj8HCQqj1StUQbHLEb5q0vUDIu664guRB8O3QDOR4+xzJ c35xL0IG0J17dsH0TwSsbvJeOXGsH7zjcikjeIpH9xot3Cd7sVGzak+M9GO0 RutaKmX2oPApv6NDdijW1e8uMLr8wEi8tPf4i2A0vip7sftCN6zfnRFXHwgE YYvVYujxLtT4DMZ3OwZAcee3oxdFvuMIj5/9HzV/lAvrn1QS7kR4sod/qp4f NITldrDs+gZ9IaVcj4e+4MlzmZrZ2YGFKZ3a36k+4Ls+0Gsn2A7enTKVDERv 7L3foMPl3ArlV538nxe8oOvTNuRY9wV7HDy43LzpfHAlvWN/C46UqW8TV/fC wyOFTwSSm9FotOtdnKoXDjpeS1aW+oTG9vsmvQ+8EFOS0aSl8AF67ys8Bvi8 Ybv/edlH+ybslN6vTxP1wV6GtJOE5gYwMq3/l6jni0P7PsnPatSDdK3rTr2G H86JhJ8f/voWLY63owI9/PHBV5hB81wtlnPuumosBUDddm3R9HcVLkcXHlEt D8IdRYaYluEKSGlxKpR3hODHhW2y6b5lMI6w78n4FwZbmRV+47ulIGQWPLxO fgqz16aMwYHFaDjZVhbaFYmSYpv9Tv2F+KW6pb+p9gUsanaLMH3KhwM7i0+H RizWKKWpN4/n4uai5HxIdCL4qzq20ubpnvQ442D7JAGR6yW7Y9YycH7vn1AD ztdYlzzhxKdBxPQVrhNMMxng+K+o4V/nawilarCfe5ILZak+kndCGmobvKbq OIqwprZgZx+XikBOd8sRm1KIf9K0PPaZ3m8cu8iRYFsBvTpf71zxFNQQHVKa JWuhJG6Se7iCgK8xEgOZt+shUdrVbOVIwH8qz36lE5uw9aWOiN5lAqY+Xdfu I37Eag6z2ii9X+DedY7b+e9nvNl/jdHYkgBy6X/B0fmtGGVOC+KNIeCufwT3 sHEHNoe/UEoYJEA7aaIuKaQTgZcPqLmeSsGTR2nvHHu7oC9ow3e7MAXHL1Cs PLR6IHq4LlRSkZ7f87p9cp19kHPJeOXxLhUCqtIHtFYG0NIBn3OX06D3VrRo ec8w7lWya71eTQP31FH5RsIIDofpGuRlv4bzL86+g/T81jzHe/SZXTpKNo+9 tKocA9NUfqq/MhHRy1MOLFXjWEt6mvNVOAOmY20/mwsmwN/E69fInYmSDWXH emJJYH8oGNLEn4Ulp9ovb++RMXmbcu708WwMJO2OccUkKEtKzjkmObDOdzl0 7c8kKu/saI56mYs7tRJFhzKmcDFuSTR8Ig9Gpu0BZJVpuHDe85VVL8BzBqOY 6dZp/B5y1pJPKYT25Raj+/dmQJnWYygtLkL/rdTQ439nYOhA6gntKcaipmPp EadZMAuPtXzmLMU0p6nts9ZZbJSyf5Bq9gaVfwwTvXko8LqvI3ShrQynx8fW turROWrx/T59ej5rqQkJuFNwQ6+RM4RWiQ75+AiraArqdiUeldxRgyt8onYK RArcfeJMc0zqcO93Y+BvOr9z6TDebvsOnOqs1oFxFETG73481FgPjUzmbVr0 vH/UnZ3/T7YR4bf6NW9epYBZSF1I4WMT0m7v9Q4TpWD0q72SxYMPcDKK51Gb m8XNu4Z3bdU/IVegeqA1Yxantgc8lpH/DKHwgmRpo1nIsD/iyNf9AmOn+OCz 9P1rTn7WLH/aCieuV7/fxM2AkeG3PldJO2ibOLJ4d88gKljwB5fiN4R7uVzk 9p2GzR18dx7vhPnV5l7L3imIFG8fHcvqAo+52fIjwSkc7PF9EPPsByR6G9qr dCexfo505F9UL/KqGSmMNvRcK2k88/BNP47dTRhWtCXhosAmvbn5QXz9/dOb V38CyxGfol8JjYDo1Z+mwjcOMd0trXXso+Aajn86t3UM8oW8UvIMYwg4OG0e OkXPgednBQwWxvAosOrn6o1hWPcNyB3pHYdJqp9ZWP0Alljs79wumUC5ZXhO 6u9enNu/si9IkwTzqrDY2ZYf4Fs4QTnaRkLke4NjlMddMNha9OucOBlud4VM tKo6carZ6dspFzIOnoo4kjLRgRPcDd68eWSEyylKOu1ox9aA1b2d9HwWsKrR NPf9gg+S0/J36fl8fYTJO/T3J9x8/vDlDno+X0g2adJJeA+zmDe0H6/IOKOj z3KAtxEn1FX57lqSkcszq2ZX9w7b7wRoX5Mk45NAfPuzsVrcvsD0zm6chH6p d8YOYVU4M2Prsv0pCZ4ETQsut3Kke//JXpEkQcKE0GmdVwo2GaZwofoJrH/c kxdC70ON5aWTa7UnUKFWGpvSX4B1+Ytmwq3j6DQJ2K83lYOwNtGBOs1xMKl7 WPs4Z6Ji/cttgw9j2OOk2mcbkQ7y4wkHLYyBvznXLG17Gv4PiNRKVg== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c81t//xkmljFRmSiqikobMcF9GRBuh0EdWRGaUMrPKyC5EZe+9isgO kZGdkdseN7e94+f3PX+8z+P5x3k9Xuf9OOc613Vc11zZYAcFBQXX9uf/5+kT HH68jxdB4tbh0fJbwkpLUz6vzSKqJ+561xsswctvXHhP3iJERfuF2f0Wcdv7 4Xt90iLi5E9Jn+9dgKJEkto3riVQ9XjcYBFYAOfN8R+7NZcwTcUQffbtPEKz nMulApewz+/LQP/UHCqj2hJ1a5fA9tSxMVNlDjRqLioGFMsYXUnV4v0+i9Dj vmOGJ5ah8lNod4LeLBjF6cLvX1kGn3AvaybNLIQmQh+KPlpGDg9mz+bM4HRg HvOON8v4NXFCdu+DGZRYGDnkJi1DKK509uKeGTi2h4u5FS7jCfGn58siMkbb xgg365aR94iF6cxjMjQ/fZFk6FmGul+RhhkLGZJPiMO1pGWQObgMZCunUcKu Mb4yt4wJ/XtvN+OmEecd3c2zuowpe936+tfTYH5l8FVlaxmsoWdm0x5Pw2nn p56kbba1SeGmMZoGxf/GCh79b0zjrVnucbVtLun1rSzXnwZVZ4BM6jYTayYu cOpNg62i+GPn7hW0TtzczSg3DcpItS4q+hUwWblpHuKdhufi8Aw/4wpY//FS CuydRtmohVYn7wrOpIvcuBE3Bc1whwgG0RXsW2UalVOfgi0j/26Cwgoo9Nk+ 5u+dAkdNuJTevRUUK+mrhxeRUJS7MONotALZeSu2WXMS4srfSoa+WcF9p8TT Qx2TMKHdM+GRuF2fwT7phfQkVh/813i1ZgUy8vGNEakTWC7qiewYXQGL/37W y4cmQHNXfFyAehUUx3PE8Xocl9zy6QNlVsEkbc316ekYSvcdv7LHYRUXz2Sc eKE/CqWPdFXP81dRmLYm+fT+CNZt0xdLpldxk/PikKTyMOhDXI4Un1yDWsDd T6G3hhBKb3lAQXMNJf3SNEq3BvHhwVQidfIaGC80imnUE8Hz90a+0sIafv1n pZKv1I9gJ19BbbF1hDYI/lwr6oWLr1Tzddt1+HXn2V4b+QMfKeq2g5nrmFAi OTEf70TJu44ln7/rqAqnl1w2b4NmV/+S7+Y6gssX1em0WpD8WTCthmUDdi0x V5TvN2PT/fYZO94NGOw4fayqtQEXazQDBs5v4PU3SwFl7jpwbhi3S26zTMO/ hyEJ1XCXtW3v4t5ASVVr0C6DSqxJx1Vw7t+Aaavt8UrdMixnHNzyXV7HLm/a U+Rb39Enu1rZ37GO66qzAS9FCpG4Q2JnZtM6fiSHPk61LMCTZZ584dp19OmT 5+ozvuJriRGnTdk6ui+MhvfNfkGV2Z9Ak4J1cO4U3zso8gXUVZFW7FnraG8t oup+lY9z8qTzLonruGhi/uJHYx7+TTKqOL5fx37RRbGnz3Mhwp+fpe+6jvz2 DfWOczlo1uYjXTZfR5dbxtzvxSy4LiW4U2usQ8+LYCJan4kUxa7OZtl1PIrp CArTy4DRptbe6LPrcDkRmeZ/Iw08OluOQhtr6EiXYsx2ScI7svCIcc0aVKx0 Hei543HL2K07KGANggbW3qmnY2C8lSq2+94apH0phfq8I0EyF1U/dGQNvpWR v2jdI5Dj9fwVV98qvIVdjeq9QiHaVUt8/mkVb1av1JWzvYNlhEa3/oNVxKt/ OavJGQiFZoZxgcOrSHBnHZvk9EPTuM8cV+cK6B2StS8VekGBPvlDqPMKOL0y LxktuaNaiGn+yakVVOk8nw3e74IPxkat/xqXYVO4k8Wm3AFeyZRrIc+XUdzL kqzva4uN1aV/Lzi39cM8ZHn6pjWS6nS126uX8NrWrPJHiwUO5V81a7NYwv2E 0/zfFk3gabZjdwj7Eu72yHPQXzNEyjw3g2DVIrgoOw67P9UDw2RNdYnFItTG h5Itrj2E6SftW6PrCzAycao287gPGZ3sXg7PBdSsdvOzH7mLJEFVSxu2BSR5 4mNF723wnS46v5I0j/fTNQY79RXRXu7mliw5j7nTBo/F712BdCFDuk/LHHac yrPX0pdClLw+MdxkDp93zBZI+l1GUNGzrV2Ucyi+d5fc+UQIjFTv7X6EzoLj Seueu7oXkeyzZNwqMAtOtrBPvNpn4URXvnyycQb9vSzaJxR4cVP5WEam6Qz8 mjqbioS4wJQsVvh43wwMCo+kkfs4wcAVz+CjS4ZFLENnfRA7NKh6lQ+8mQaL 3seTm6+Y4TruJueYMwWrXkdnnjcHIPElQih1iASOIdWtrBo6GAwlDVgfJkGH KCwb8pMaDEz6Mdnqk7hE2fhzoI4K5iP3nKXCJhCZKyWnG0yBT9QByiVu4/je TWndm7tKiNmieGZtNwa/1GNM05cWCBOUCVkk+1GE3tP7q8EyQ1hT37+/4M0I DIh6H3jmxgnZylfbzT4NQz57WcmSf5iw8f6JaULxEJK+kqKr7YkE6/oBb2u/ QYwU2r28KdBNKL1VnvDUagCEPSFnmEPbCH8reiOTDYgwuvdQ4Z99M8Hbj82c 36gf4ulioRo99YTL56MqL8/1Ya+cLv1niRpCHFt+w53zvZh52qHbmVVJmCGX 8UZM/sFRpR/HuxjLCDJjsr3E1k68I9A7qi0XEYhWHAWxo+1gptWd/XexgODp RluWeqwNlZE65/vM8gldPY/6KB1akLtDhcvLKJdQPTtOGlltRvozo+t6M9kE o9gWl8s9jcg5ldJY4pZFeD5SQjEoXg/V4rwxql+ZhL+nc82FdtVi76yO/7PY TAK7ot4evrM/4Hn7a8f4UiZBUCFb/3B8Bbx/JDL6FWUR+i/9yQ1+XAbl82E/ Z5eyCRKJ4fEWPd8x85NrWjsjl3DBODhuza8QzHF6BozhXwicus+mf/XkQ3mn qGpw0DdCQvpVD/+0HBQMk930zUsJji7z7URyJvSFdtkUTlcQ+liaBYm8aajs M/sQ7FlD6FOYPAG2JGhWsNCmhTYQ/rxpJZuGxcFce/fdWMUWgk9+effv9Sik xxpr8kx1ERQGDTzvz33EDzlbiY4oIqFHIIzETA7Feu30JzXRMYJ3VqRzUnkw qPPrIt2rZggdnzZuHVUMgMBG9LFp3WWCKvPqz921PpDztd4zaEAB21SpL+3L r2GvnztVx06NtMHM/84suoJ2/0Sztvp+mFPrUsi+fAWF7Jgg1n3MSLGNKCuI cMQ4U6uzKt9h7OTe33az8SX6FV35rN4eB9Xtt20H7J4j7cEDs6BcHjhlNh1e 9bfGh6+X3r58xI/23YlN7VRWUNl6d56D/hJKedxLrvibQ72BoGWTJ4pBg85Q jwQTiEherIneIwXzHdInq8WN4Po1e4zm9xV8kLuu7ydpgJsev2jf0V1HsWix pfpnXahFky/1BinhiguVuqLqQyjyWEvK/VFDofrWLtZkLZj8fXWg68sDMNR7 jtYo30csx6EDtix6eFW/KaqipwaSbJtVtrsRdlLer01qVEH2evEBsVfmGHek tRR9q4Qdy9S/giWs8cNkmmh28jboy7S9Hmy+wG52GRqazOuYfdiVHJHpjINc jczUqQpQECo77/fEHaOytFXzdPJ44ZmjbW3vjYNjec//VcsiJt4mQ/NTADxo NJLzWqTx2pmn1cX/PeyV0xNJvFI4kkhnYd0Tgb4N0YazM5K4qJoeEJ8UhUTj 2qCaAXG470q4Ffg+DtP71L7bH7+MM+GzrafVk1F79c/h1yOiuE58Gug8n47S E/6VFztFsGSVWPiONxuDhSNjBxaEcSEz1KlYOg9zz2woV0WE0TO2Q9+t7Ssy vucQyFFC+P56f5XTTBFYGG+VnrsghPWrhEu7mkpx9lCBGydRELOcuuPXbCug 4UN16m6OINTsvIcMn/3A6uxZnddxgqD/3KJ+p6EWDZXd7w5nCeLjJPubktp6 pKgSz/k2CUKi39VmmKIJTmefbz6iEgKx92rp68JmXBgQCpZUFELvfeXM//xb QDumeKZgux+hU7o2cG4D+wuDD/50wsj6eVJA7HUHXqncf+DlKYxLE68qI6K6 cM532sueTQQ0C+6u++u6QVx50nWjYHv/FBE1GZu9yPuRGDZjIoqzA3a6Hw73 Q6BxIf3JBTEonA+YDRYhQjBwy6Vt92VwlAjY+90ZgKi71tIt8mUo8RKoyHqD qFCguk03IY4LNWHpN82H0B2uxnNnWQLBAkJVvhbDUL1ueO8JKwHF4WnXpgxG MKTLu1R2DTheJRa/89YoSCrMn/oVpOCkH6XVwjsGjoy8auslKdxkq7L+OjcG B5n0Uv10abALdLs8SR8Hg9xFsy0LGTj+i/Ve1pjATr0GrXCCLMa17VdjVybQ XvikqubmFQS/FUhwT5yEg1fh+hVzOWx2jBq/kyVhTOz49wxjeRRzCjUJ5pJw dvTgpM3Tq+DaL8zZzjYFNkH5tmNeCjgxmHLC3GoKDx6V9clkKKLwxq+NhbIp rJ+fyH4+eA2iesQctT3TOHid+40+7w0slRYcfCE/jdKck4+/2t2EFUdJ2yWH abRvcbidJd5C9VGLhdtp09h8OmAdZnUHsXferb4anoZxl/iWlIcSMmnJefpM ZHCFV2klpirjym2aC0biZAweuvtta0QFLmbHXvzUJIOZJfLoW2FVkAKC2COe kaG488CntAg1OE6oLVf6kDF8zqm4nf0eCPeuie79TAbjViExJPs+Dlmk7tyX TgZrAuWug9GauHfq3sH2b2Tk8ugmiWzrQH0iDWp/kEFzmf1x54I2HiTtuWre SIZ614mQf+d00DkTdU64nQyVOvFDsy918YtNoP9ZNxkEzdgE6n49PEyl3/vi 73a9r2XK3A8NsK66qPhsgIzw2vyLBILhdn++EX+HyNhcnrfhk3+M1TfzOXoj ZFznnqjzszPBom0iD//odp47Tn3+4YApfC30n2ptc2xGO9kaFjBV2c1Ls80/ LHhWScmWWLXL81LYXk/HQ11+Qvgpous8ZrmHydC9RanUNWiNsdisosRBMtQE glf2f3mGWC8d7j9EMq4aSgbR5djiTYPs76Ltfjn4MmV/K9shMT7ldW0PeTuX rF1uF3PE7T/djwy6yDiYwcXQ+MUZKX5l7T5tZLg963sv4eiCCn+uBLFmMp5v kl/8tHbDbFaqpl49Gc8iWDY8Iz2wWOigtbX9Px8drg4zVfXE7ualeYlSMqyk bPYPa/lAQU9hMeYrGXK7/vnnlPrBZlpX80gmGUUXwxT/VgVgIJIv0yuejLqT zWysw0FYGs6qbgwno5xHTKfmyntM+xwxrPEjI+eJTMzniDAMfw3W/OVIho5K A9PM049gOR3ILWmy3Z9yjWLmdCRCbj66kXOXDB7HGTL78xiYcTUWfrtMhuGf AlUV7XiY3395venI9v41uK4fzkuCjFr+iuraNHx0+ERSZtPwUCzq042GaWg9 PeuUbZYFluODwo0ftvPtXc4bEYq5qNr540DIf9PQbmchdIV+Qfk5lsvcbNNI Cpti+mz6Dd/cnTezq6awKHfw+tDB7yAcfE8r4DMFlSOHN1TtSqFjZ2zRdmMK 5vKpRrQM5UiJM31JST0FKc8S4yvVFbCr7I/ZW0iCfxNdWVN8FVTcKprPGZBw fkvqS0hmNW4Wish8pCYhX2ptl2NlLa5SBjzsjJ9E1nUxn9Yd9Zj99+DKF4lJ GBH+ZFKbNaDn+YurN2omwGt0Wf+SWxOu1/R/D1CYgEIk03G2xGbIex7meNE+ jtN67K8O9f5G33iTmLLmOJa99hR/4mrd1g/x/brtY1DToKIg2bXhD5n90V/5 MTBpebKwjrQjYrnFYi5lFHKi5TKrOp0wFnb8m7tzFIp0/uPC27q8rKhfzGI9 Ag11kTKFbT/os58QdfPPMHSSzI76oQfVEbuONAoP4/GPP658H3vRftpRcp/n EPgfl+vM7/gL0aD3DI5Ng8hzKj+YKdIP5TVXvKPb1uMR0xa65n5MjB/aSHw4 AGGa225qJkRYTJ++qphKhPzxGYq8XQPwzj7wQIrcj0qemC7uzwM4oK2X8/h0 Px4F3FcnHhmEzGvK8UP/+kC0vTusFjqImIJ/jLLhveCYpFcL3T+EHa92JHnx 90CibeDNe7ch9GkyQjv3DyzWhFk55ofwht+sz+xCF3xUmBUaNYZhvhaenRfd gVPOG19OFg5Do0U90JeuHQu3b6maMoyg4YlKeaV5K65K0/+6eG0E65xXaNlO tYAvIJc+0n4Er0V/TbL+bUaXnGtITtwIEFinpPW+CdSi15wfVo5gg1lc0+pz A+7VcEp9bB1B5IX+axuf6uHLQjx5oncER4rUwpfjfqKSeZrGaps/DnM6lObX gFrk2BH2thGo7M3QrW35gUM15gb5FSNg3zw26rNViQWzV3VLiSOI6VCRt5eo QMqxwJOxbiOgupp4YNKnDA3Tvkfi1EZQ9pnh+txwCfx1ujV2cI7A+/7lrpX+ IuAT6e147zAOr2iWd9IXQnz/yfL0oGH0Hb3WGG32BQO8Gw8ZlYfB4kfRymKf hxWhdgpJ2mHw7DPiCU7JgcqpfxseJUPQekjxrmUjC9HPnjqqb7+z8kxkvvPm mQjbNXCW4/AQMkNyWdWp0lHyJejzjYpBkJTmZPc8SoHPQ4uSB0aDePjthqAV VRIeXrwkWUsziFuHzUQlOuNRy/hSfHfKAKiWLBua+2Pxy8n6dKjYAAqT/gku tETjXWBXr9MPIj5S/O3k2xGFK/cuKDxQJqK2/PtHy7pPUPijdKu8tx9ilgTy hblwhM7/7r34uB9sVHGLYmZh2Okg+x8m/iIoufXiilAIin2ZzxCp/sL5202j NKl3qKu4aLDE2Ye1xRIpG48gLBQdnjiAXhAFYqykKALxoqKaK/BaD9h6SPqT 7v5w6dRp69foBuOneUtuW1/opNOaGFn8Ae/ElLe3qA9k5719X3p3QZT1QPic tBfYlDiSVVI7MWVjEdzg9QY3sk8zH23pQA/1CIlM8xrOhQodXeXteBt8sDv1 oTsmpQgOrUVtWHA4syd9+04tG+8xoi9rxbHfFDI+DS74JL6+bNrYAmoBe8+f La/QY8kQ0TD6G8EbKQv2VK+Qd0d4fm3vb1Dy8DlvqTuDP9+YM0+oGcENu61s wpwQZpe87n66CSLsNq/pHB0ht0/wj7BGA8Rid9uvFDjAbiX+r4NTPb7v28O2 IOOAJt0eNdOynzhRdOyf6wEHLGtz0AUerQXd4J+UJ8cc4BMVoOv4rhqCtW5i N5844FRZxcQv7h8wqdj6qDq/vT5PRYvHrhL3Z9XefSA54shvgY/uc+XoJp8T pjvuDGvqZf+QN2WwXHypwLbhDN5b17z5xEuR5/hGb4zGBaVMEtSP938HTbpB /mVlV7A0+DIHdH/Dd4GD1ic63aDWP/4WrQXwmur8cCzWAw8tjX8K3f6CN17p Jjs+e2L5ewn3roN5aDohUGV44y2mZQILk5lzMNkTwX9tzB+kI2StAZUsMDO0 XhJJDQKP0aVWft8M5KQ0ZXjTh+Dkd5d38a2pOONYe53IHw7rOgZnI6tkZAhe KiSzR4JPyft4vnYiejVDt3j4YiARtH60/F08GrPNxf2H4mGX7dwZsi8Oklui znyPU3DoZY708FbMdr4KqWD8noGtIN3KGZYYPDdUqWDSz8aZNyTXd0rRiByr Zr1zJw/OZ6ymJtOiYL8y/Z4n6ys6GLNJsmeioHVkxswpuAhCxvJZnFWRUDq5 p4DTrRRvBUVXzzlE4lv+w6Z6ugqYxBzceV0pEkFmirwsE1UYUpe78FQqEuKa TovPjtWirsN6jFU+EhkR8qaNFPV4XE9fFa8ViZaoKolFjkbE2W9drnaNRPXD FTlN8WZMJc7bnPsWCVNvL+VzO1ug9SiQ8/P2vdT099klP9qKKVoVyfH7UZgd 17CJILaDW/rAyYnSKBgdOUrQIHeC7SiXg49ING63zNBO0nZjZrj8Sk1xNPLI rWucAr0I8nv4N1olBpPqf7n+0/oLurl6zvOrMVBxvEdvUt6PJ/cOTF73jcVb G4/3LrFE5Hs00z84F4du01tXTF0G8PPxfWmXrjgkCd6ez9QYhFzA0Q9Ev3iY 2u2iXOYbQhVnjHuCUgKkb7W7Mi4O4bl1dc1uzkS8SbwgQZM3jLn4MXvRlUQI xN2WOmAyAtZrswEDb5NBXoBM9ttRLJKvBr30TYbArmJTJt9R8Ojbhh30S0bQ +nTws21WLHCJTd5mw19tXzq3eYvSMFfGPxl7LSzbL/uNYuTOydo/29zdWTYT sc3PedU2aAKToTBXd0THfxRshWQZ8aBkHLZMFDkZMArix7kIk+Bk8FCqS49v 85Ah/02VyGToS+yafRs2ivz8/e9kUpPxZkh3nC9qFDU3hp6JfU2GmYDM6YrE UQwmLSyIVCZjoMA1QyVzFCWWs1a/JFNwLeWDtMfaKAb4XQ4/KkxBc8NPAWaZ McQWhjrQXk6Fl7Rt15bHGIpcl52ri1LB0/E59GrtGDRzZh7FyqSBkNReQt4z jgbsIM1eT8fEK7lPn+22/cnvWqXzOhno+XmkdmlofNtHCOWqS2eCk69R6bLc BAyN5rr0OzNhz5yhWRwxgWvSt0WmbLJADU7t3skJRJlryx1nz4Ygn9LKpsAk mgwWH8tMZgNaDUPaTpOwfP+iauZHDl6d5g2TK5uEb5HFZEBaLkrD7yibr05i Qpolwf9zHgyO3Ot/f2rbnykp/tP6mI/UvS7vTW+T8IAtlf9JwhdIbjJwfDAj IWSFN1v0+1e8pBzY+cWDhEyBfe5PZAoh3OQzmxBBwj9jCp7+vm/Q0bZzMUgk IYij/Vp7cDHYDCw/TCST4O0mvhRpUIIsazMtujgSnn92fXMnqRR/Vu6H2YeQ kCTCT4pOL4OH/MVP9S4kTHVP0XhUlKOCr/ekhSEJiTPO3t/HKkBU3ytYKkeC Jr2hV5trFZr16K+o7ifhpXnJU3lCNSbmXzPXN01CyCPk/syhWnCJ2O1SeD2J cSdyfx5bHWq1Qk9/uzSJlYiDpjYSv8C9wlgw2TaBAfbTg5sejbjWrCxpazqB xVyhi1T/mnDjv/WcP6vjIHbt8fe8/hs3fDk6jV+OI4z1lVFGVQtYk4a13w+P 4WxRqkHSvTYEhvoFuUqPgeJu60Tizg54qKt2LPmM4pDJPLVJbSeU2FJs/H+M wHqzlZ8h/g/shjzGGknDONTvbkgM7YFI4nr5oc0h6KYPSTB97oP4luDV8pVB hD0J/Cig0Q/OiLQBzu4BXCwpGFN+TISyG2tCcgwRTRKrXQcUBlDdf9N9t38/ 5m6rPsznGsSl24EVmS19KD3WMce5XeeXYvT0a90eqMWKpO0vHULx1/xLGg1d qJRx3zi27W8YnOgp65I6cOiZByN36zAMQ33YR63b8IHt1wnL8yO4s3O/aujH FmSpDMXRvRzBD0sJ2iflzeD5b4/jWOYIjpctXxJtasSQs0FeV9O2/zsWlFR3 qh7pnpLdle0j4HKz9RwMr0Eq39t7/SXbfo14ZRebaBUOMcScFgkbweTlZzem Sssx590t80F7BAwQbdCzLMXNHek1GidGUPv21vST/4rRL/WU9L5zGPSnhGRP Hi6EXNGhXzUuwwjkP3j0wpEvcA8WbEk5Poy9R2OyefVyEcqSyCqSP4SM9+f3 zpOzQPWHbj1Qegh+t49RFrzKwNPrx41oqwYhVpdyyTcuBWcyP0hRyAyChz29 a1EmERSPCb/aCgZQZLLZtXo7Dm50ZxpH+AcQnGZ84VdZNDbY9t188ZmIjqd+ SkZvI7HvcGlMPgMR/07TsO278xFs3ZHN8U79mP1v7Bg1wwesW946/aD/L57X 6p49JhcC3SxDO87KPhgvvtZKJAZjnb6Tqz2lFwUrNpljbYHQ+fr0isf2+di4 aN/JxByAKiV1nXcy3dAXp/yww9gXcibPz2K5C9bHxnT4VLwhZmj+/b8vnbgs OJjf9eMNDAkESUfXDpS7b8RJpXqAzBW4PKrZjpkd3+pekN0gVyoTnSvVhh0/ XdTfO7tCadFxrv1iK+bkLp7vVHbBg6tfyNznW5BJrz/CoPUKrxPuXY/k/I3J pbb3I6+cofpE0VDg6PY5iAq6IJHpBLCcuatzpgmiJ84H7sp0hFsdUV75dQNm mY4W/FpxgFr2kCRFSz1sjXSrE10c4LFZNZQjXIdHLwRiYq46YOwwBf3drFqc vhRm/ljWAZs8Q/Y/pWvg9zKKdsvKAQflItl33vgBDXP9rqmDjuC1ND6Y4VSJ YjNx0Q9HnKB41HUzr6sce27V9uxQdIYRQ47cRfUynLEa93kk8QoJTNXjzRMl YGQ3LKIwdQHCav8m6RUjbfgBiZXoCv0+GnZRpm/oelkQXR3pjjrV+E3ula/g 1t0dfCr/NeiZDvFfDcmHOP7NyPd44V4Am/mdF7ngLbzahAJfvJJnUO0NyYbA P5PQka8BMDUKNBCeyoRG+qSsT1gwqKRZedzG0uHzssqfkz0USl+XU6bvpIKy qez3Lq0IDO3k2R1Nm4zrJSvs+RWRaHj19qfrgURUXQiPPTYSg7QRYX4VrXjo LJH6/bMSsMNHljF4JBZn5cIkaa+mgvufv7ldSgxck8ZOSoxkgorE2NUTH42l /+6PEIRzoZd5Q/tQWxRYbiSEjp/5CkfNiq8Ml6LAqN+6l9RThMv8Jf/ov0eC Pup1s7dAGRJeFp+rehqJ3xbTntdMK/GFWcHBTTUSN32O2Lw1rsa5o7Rd4tv+ SbrtbGhvyU9wxITR8DyKxH0dBerg7Ry/5xBza0RQJEBzryflcjMmd5sPsnZt +yPZIZsGwxZc+FnGfVY4CjGezsoJhW2gfkZ67p0chd/h48ua/J2o7qYI2Skc jeiqNwv/ff2DapU+2c6CaORS9qtd6O7BnUEde7GbMXiaY6gztJ27m+b5+0Vn YsAns1bSH7ydn/s3HyxExyLNhGpoVxwRKqa7REIM4hB9N7KPM2MAXXqmVBqi 8egszaaKzRxEYbJ9hsvhBJyhMWRVTRiCLbeKrT5DIoy+SkeoBAxD/LnZsDZT EkyG4tV5TUeQ2ptaNnAmGQv/ybOVi40i7OYZJiOVFBgsL1vbL43iRdv8IVvf VPw6+i6LPmYMLN6fxd080yA8tE47xD6OJX/5lzV+6cj4e1bnk+c4/g+GieyQ "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF13c8lf/7B3CS0EZGtKRkJWVUipeQVVKJEgkNiQhZfTIyShQZWWULR8jK 3vvYnGPvcewyUqnQ7/7+9Tv/3I/3432fx/2e1/O6+Iwtr97bQEdHx8pAR/e/ J6+VWCjPcyq6zB+GFPmSEfZ7ZorsSkX/IbmPwW/IIPF0ilgRbYnML1eevCYj SCyHKcmFij3iYnfhTcZ1+W21605UBHVUkVJekFFp/zeS4RkVVzJ/WpPcybgs dn5rrSMVHmK3skyfkyFRbXPXwJ6KxO1tu/e6kqF141T2Pxsqeg113ggQ7RFb dnPyYyrC/QeX3d3IoMkbHN5qQYWutEnGlZdkKL+n8+E2p+J5e9Bze2K8Kz91 dp0yo2K4yQNxIWS8sG21/Ei0H2l+2a0aS8ahNB95z0dUqITQemJTybgQ/XF3 uyUVpn+YJShfyPDUzv07bE2FWfPeI87FZPgd8kC0HRXnloVETlWRYZpdyr38 lIrZLUoywWQyyrO0OnOI+QvKN7FLNJFhx5AVle9BhfHNtOrsZjJmVIWzq18R 34/8hXaiXzusLZzTl4pboYrWQ/VkMLIeaGcNoIKfT7+stZoMpSPdyq/eUdH4 IF82sYSMN8V+sZqhVKxrn/d1IMb34jATr0w4FYczLg9ZJpNxvj3x+sH3VLh8 tNzdHEGGU2GX7hTRL/dVH9N+ZByHgfaTMCruvO6bECbW+8ah4dt5wVQkbfLu 2WZNRihH71gG8X3Gt4xtPHfIGLtJx2rhQ8WHxuNpLpfJWCt57n/cjfj/+bC/ QfJkSM4ddTQk9mvBSboyT5LY/wCOj57E+ubNjPqIipHRZm9irHGbioGr3j1r R8lofRKo7qRFxbsitlvzxPvDiUnZ06pUOF3Vdr2rSMa1H203TOWJ85bpw3lZ lwzdm0+ba2WoMOft7DhiR0ZDZ1hi7ikqiu481hkIJeOHQl9PFdFfbbVNa7CU jLTo/iOq56jYUvqavGeajKnmKE79i1Tk9N6JPsBWj/blmh1UPSp6PAxY+E/V o4/fcukVMd7jyv9WeLXqEetlaPaMOK/34wK8TB/Uw+k5nQ6PP3G+DfM2udjV Q2fPI6b0j1SI7Ut8tPpfPV4dfbX4sIAKvd+04ir7evBrGp+43UxFdjfHK3bT ehys45DyGybmq8ko/1azHpkK0o9/zFPh6/S2/JZIPeLV6I68/UvFIRuH8kNr ZAz5kQcsNnSAYbayhquG2K9fot/LGDoQelJmYZ4437PtA97j61TEHfjAOqpE Rr/Jh4In36nYXVP67PW/Ojz8HLgtZZwK54WCBlJ1Hc6eUSw+30Z8z6rlApdv Hf6dOsP/Kp8Kk7XjoYU36+AxE3BsOoKKkJonn58erUNbstL4BuL8xlLG844w 16H2xNGFsFtU/KtU07Gfq0X/w5GAQGK9t4zVDS/11cI0KZt1gZOK5r8b0ue6 amGuvOVA5XcKdPkjHGxHauH9LS9epJ2CGfMHrld/18LB1n3mUhoFbJ1GW44I 1kGA3Kr5y4+C9fDCDfpmdWjp4GNud6AgOyO2DRV1COYsP2D0kAJKk5LDRREy no0XlX29R8HrH2aq3PFEPDpdwPLMnAK+sLu7LgjVIzdry8kyZwru/cudC8+p R4D0hd2R7ygA+cqilGADhL3u3/6dRcGokVlVYWgD9ma9cyb1UODsJWz+b2Mj an01LHQ3UeHj7CARZdqIyD/s/h6nqbCbt1PkqWyEWXdRmg0RDwTJ72ZmtjXh Q82qsEw6cT84lxk+Kjdh1+ve4qxFKvxT1QK4HjbhUGHmFnepDrAcq7332LYJ pQ5vI1mfduCZqsZFw/tNaCeHV+zM7YDDQ6uNRfJNcK+i7C1Z7MDVS7pPfBma YGBU6fVCsBNjvh/+K05rhISmuWC5bifu17c8blVoxAEnD658906c/mJSuFLW gEQPncn8+E7smJpu2SXSgOXHzGv7Cjsx1/jWP8W9Hr0jbO73qjsR4hd1YYKI P0mVBgryFZ142GvSbrONjOZt3xRS0jtxKF17yV65DuXyzLEb33ZCZe7MgXtO tSAlJ2WzG3ZiXktVoyunBrVmyhb7+TphyPMryexXNboXs07OUzqgySNcGaZY jT3Kx5fJjh0YdmRI84+qQqtdTafZrg5c/LpN4+COKvD9ZilcJu7TxYGKb6R3 lWj2FshpFaeCbkm/mVW6EtzOh65G5FIwZsjgTFmqQOXu9yLbZSm4eDaJwthc AaO9310ple24M/xykwW5Amk1B+I9LrXjtFbqBf+JCuSF06vfmm3Dw0arlz/3 VkJyT/9Gim8bTsrvdFqxqoQgyyYHbZk2iCrzb746Vom7CYspYvOt+DbL2RZl XYUFL4VE97RWbDWKrtE+UA2BnvfyOo6teGm3Mp02Vw1/P7eml5db8fqM78OQ rhp8v197qF+yFaqK7pH+w7VwvJWesCrQCj3dV9dDNpHxvoVh/emRVrzwe2S4 olKPUT6d5DS0IiYqasv9/Y2g6n8R8DBqxWJo/ZcatyZ4FMyqePq3Itj06J3z y83g+WVwY6KlFRalXUPPTrbC2d2koX5PG4xMLm8L+NmKsI0UA0WHNlwQ/69z X3YbDmsI6VwYbQO9/WyWt3k7Vr69y6m62Y5apVNnV3kpiE2zvmcz0o4tXi2n rUsoKM023PTLlgK1tm+bhjWpEMg1ta7kIrwqH9O90Eg4mSGRXxlPxdjJiZeP 9ndAcEf/X5/THaj96iN/0pDYd+Vz7LYdHVAV0dafed2Bm/9OP8i07wTHHz+1 P3EdSJ0suXlxfxc2zKQPscV3oFT22j6ehi5cSNSx2Ue8b0n+yl/o2A3BeQWX C3od4JxpomPb1gMl8cf3OvZ14F7DBEkwugebhSx/GrdSka5+R7XseC/CQ6bD fxNur7YW3LMu60W5x73bjWsUmPurfE1T74O80WAznlIgpMe/VtDcB8tCx2vf aO3g8HCfS1fvx9cuvu2p59qh/EKfya2oH2PrsZ1viXNym78w4g/fAGIctPi/ N7UCvH7cZIcB7Jd35bCjb0VdGO/e5fQBpDB4m2dnN6Ns7ECg+8AA9hhNs97R b4LrSna01toAUpEcqLLagOBfRwcv7BhE1u6prWPB9VCyHQs1YRvE93KW+WHC Sx+3i3tLGQcRmBQVtrWWiJ9yifn+UwMIxrFcReMavJfvXtMsGICldqrPPYZq 6DFdePvx6QAMj92vQ2olXsZ01T8XGgDDfFC/o3EFQnxmzu6r7Ues85Sk6+Fy ePUbKmy41g/KnbmZkYVSCH64P7KhrQ9OKY0PuAuKwRl3rkxgP7Fe3AfWBOQL MZ6VdU76Zi82jfZtyqLLx5PJBkZOzx5sI3GS11ZzCO/S7ZZiu7F6Seb0J8kv kNgX6MWV24U9bCeSNidkIazoyen6qk7ssbJvs7iUifBTfM+OtHTA0Fh5yEs4 A8qx+lObe6hwb8mYLZJOx0Y+Tv71cQrUFzvrWgeJmzFotpBCasfGLp4uCY1U cATv5Kl1bEPp2aKgT2dTINa7z4WfpxWm+bpPu3w/QXhdKdY/sQlnyku/mLl/ gmAHV/DnKw3QELv7x4U9Bd9FC6rtibwji48PB4hdOfD6PsvWy7WQ+XNrYdu2 z2BoX00yj6uGe0dbu3J1OtbYb16ZEa3Cq/9WCmPvZRJuVFy/K1UJH8/kb5qT WfBa1PF2vFmBlesclcppXzApuf5D7n05ptIFFLgqchFhLjnQ/rMMY0r6HXtE CnDvfaWasXkZ2I8c8LqyVIRY6V3xuj9L4ffh6CPPnWXIeb93dNv5UpzNydLW GC4HjxK/b05lCby6Gmon5yox3kWvEfS0BL9qxKeXBqvBxbnxzFatEohstPvb Sl8Hcy5Tz8yLJdi2NJyaoFMP44os0RMmJVDcrnA/Y6ARU0p7n1yMLcGJw7Y8 7MEtaPaYudm9VgLmlmG/Nrk2bDjVIFrhWAruOqHwu3XteNZ8IYRxSxmUgn8f kbxHRcnpl9l3Tcvwe5Pd4XnWTnxx66ti7y7DFB8Lo299F8LYCkxPXC9HZEhI pZl3DxJOPvCamSiHuFoin9nFPgRvv3rm8csKPGKO9Du8ZQAFkk/y6U9XwrPA 2+VA+SCEuKqdPwlWgfPrGWNHo2GcWbW/G3GiGkpse80dtUYgVyRb43q9BuJb DaNTT4ziwJ9qQdbQWhT9O396/u8otvaea9r9ow6Uf5dejaeMwVec18nash6N v9UvrSuOE04PmP5laoSUheX63bJx3Pvo+iOktAnxO28o9fHRIMKYIioY0oKV s1Jb3j+g4Y715etlta0gSd8vOv6OhvR6D510aht4gu133U6iwZt3uiFzqR3a qdNxK7E0sE/9/LnGR4V1jcBcuycN9/TDlRKMO2B28IRk+hWiPzy3LiC7Ez4d o6mSTDQYcZ7bZMnVDV8bqYtDCePYFOPnrXG8Bwq3LRT7Lo0jRbJYU/5aL26b MzrenxlD0SO1ggyXPrTXlP3zdhyD0HTotv7MftDF3O5UWR0F06wPW9ncAGQT RFQCrUfROPSDl0d0CB9dzMUN+kewa1E9KPnkMG7vOPso9PQI/q33zMv2DkPr bWiatPcw9uzjued1fgR/1brk3XYMo0SwTuVK+gh4DUf3Je0bwlWt184HeUax Zih8y4J9EEXa6ffs3EZRfoG/8NlaPw7WtiNnahSTMsaWWwf64M+o/f7UxTE0 ZZe+tMzsxcqv8QIQ+2Lxhq2L07kHnbLGnCtM49je+yovVL4bacXTGrevjOPw S5cRerEuSDZrGdsEj0Pium4KA2cn0Z4Ke9M5js/7GJs1f1Phx+Mt8HcnDRYW sy8LuikIiSjrWVOiYSqiX0DuSzscWM8/bbKioY9c+2fNrw0fl4ZpYcE0zCW+ t1d92AqNc1cYe1JpIM0J/mhebcai7g7FuRIaqv5Ite8QbIIk69nVe2TifUYb ksCNBqTvk6vsb6Rhc/HOZxuIemqoP0r4Wx0N0pXV1xObazESYrd8rpiG3xFT 0od31+BHVszNuU80lHx3uL8YXoXPxdvJ84E03A7XYIsVJO7zEbEHx2xpOP9b bPRDZTkKpY53RmjS0LIhtFL0URkEG36MyvHTQM16zbpI3GvFlP+GBBfGEbJb Tmp5uBBXPaRueeaMw7F2uuhrSD7kl97I+duNg9dWt+m7dS70TKWYPoiPY2OU xpYY6y/IYR2fiWkbQ34xs1D1kSzsSRp7aPpsDM7BBl0fTTNQPJ5Lp3xwDGEq VYtH4z7DqUxjb0vlKGwVbx5XL0rB3ERWQozRKI5wMJxh5E2GvA/pj97qCMxH 41XPFibip/0P5fCgEdRNt0dahX5EX7RR+MquEVxcPh+qpxmHjVqPrr8JHAbt OWP5N80YuHQlMp1lHUaayddwsUNRWIgX2Ri9dwhF+3bz6+35gMgY/XsCZQOQ kG4RPfYxFI+Kg4XiTfohkOlz/nftO2Sf5aS/ztkHLasNYngYCIOox5++N/WA 6+jkmTpbf0RpYyDfrxvHhHwu30/3A13GazYv/S5Q/Z2Hpja+QS39ueavkp0o 2enTHN/qDW/HI8Fndneg3ZT+Xcc/L/gw8Tx9y0JFqc8LRV+3l2g0kpWjMVJw e/d0AsPFF/BxvfJrqa8Nk6LHPDIOeULTx1WDVtEK8VdWa9EqHvC4+eP73Sct EDK/OcSd7A4RNl42eyKvGxHoXdqp5I7kLceqvxE+/VgYcQ/a7I6VM/lL5epk aKZnMp5kc4fSyYuDtg9rMVz7d3Oxjjv2qq2Xf1KqRs1yTob9P3dUv5plUNCq xMi5hDJFRk8wsp4p6fAvB53EYCPjoxd4eE1PJGylFMUMYvaJ8EIrTVkuc28x 4k8fUt3r7Y1NTo/Ff/kUIMeLzzrh1hucj7dMoJPNQ5iR/Yn9D96iyuLHs9/C OYj6WbUQ4RyAHO6FWSNaNhI4b9yp5w9CQHJdVGBuFmiGlz0G6IKx77j+UZHo TBgLy0aS9oSCwSI0YSAiA/WuVjNjzuFQiFC7Z/85HVLUfgMZ8QhEBTFEfkn8 jJr9XkNSe6NRJZ5V+8UwDZxjERWhjjH4rLriHnksFeMygzaKv2NxiGWu7n+O v2UxfB4aFQ//P7EBDls+gT9bqkfxcQKO/5XclMOZjLGon/5nLZOw/9IVo6bf JOxkiTfMyUhCXd6HZ6IDJNj8LHj4azkJ37VerbWXkaBCs+ymP00CN4XkXRZP wq3gG9QuJxK+MVrU/4gh4cU2Sc1qDxIElbhLRaJIsK7T78n2IUFt1P+B8QcS Iq7fsUkIIEE222VmLZwEd8HHVfuDSQgP+9/v/5+t6tJa0qEkXHpPKWaLIKFR veE0hXgvLvjrvdfRJPDv6TfcFkRCux9TiWsiCe+1P59R9SdhOEVKwD6NhHoP sXp3XxI6zjJHWX4hIbf78uiaNQm1befuBv8lATV65OLrJNBVJPP6KiQjJVtS qPIsCV6vrqzf8E6G5fF9KdsOkvAk4+LF3+3JoCp+OSNtkARD61NuB/ekQpD7 XE4IKREsWSLx0+GfUWpRp/6JIREhkdcGOoQyMB2/Ql4yS0DqKTYXl4+Z4L9o enll5CMaKo8bdilko36CvU3j3kfszl49fnNjDvKlypJe/4hHOcc4fchcLl4F hkprB8Qjuf/MUaH1fNCzcQzWqcfD9tWJKqHGQrSyDXlwbYnHwcCeBo+8Ypw4 pCDDRYnD7eC7u8OrSrFjp5hXdGwcNHMKE4dWysD7WeKGr2Mc5BbEXCIOVOBr 4TYH+6txuEti0J0OrER4mUOgnFQcgovCd5QT9VsytS4iky8OlgUXhmm1NZAX 4HiQwBWHO/F7kxde1WH8bNDTBc44SMo99lMzqcdJo/0/Hu4nvnc0nbrfsBEm u7hiNJTj8GqVz82erxUq/qau9lZxUHg8W3fHpw0lGfFHNibHwUZHSqKYmYKG 0NKtuiNxuKlka/NXjQoWgXpDOb546AmPevAHd8Dr1Jh3gikx/w2NH/jnOiGU d1n0ZUE8/r0TSShV78ZVowa+HvaPsBAO9wpK78GvpTCPUNuPsLy71LxnTx++ 0++p5mFMgBWdkDgX0wA8JUaqY+MS0F37YVLixyDmd+h2Rosmwtbkcf263DDa THcwy5Ym4hMtt2iFfgReU2VSr/SS4BWwt/C/ihFU6hmavqcnwXl6+dsLFyLu R0T3vskgEfevuFzo1BiUj7EtOJslI5ZZmNtrdgz0HO2y/sc+gdrUWTQQOo7Y RzEmMzIpOD7M/532iIYjottvxl1PhUk11SlHegJ6bfRsh16kwTDhUoz90gTG TpiND9V8hmb/Fa6I6EmcU0gqEH6TDmr1ucph+SkE7bt2/aV8Brg+Dx04Q5lC 0stMvda1DIRUhir1Xp8Gh+7X7XmMWUi8w7s/enEa4Yt7jTccyIaMw5qUu+0M KqOMlhg5vyBpcYupUfsMTo/maDvszkGkp92k6sFZWA0wuQ0K56LkXIHl7vuz 4HTf11qlngfnBinNzMhZZE4JzZc45sNvRjZlrnEWNxRjO0zyCqDxY7t4yOIs QlTWU42YiiAQ6c9ks20OZqZGRdomxWC6/ZnhBN8cROk5REnWpQjdnrTBVHwO cwZ0UrptRJ5PGmayODEHYfF8hcrVclw8eIrvpeAcpOolV5POVuI+y0P9EvY5 lCwZyIgEVGGrjY/JxPIs7kwd/mezXo3zR74mRxHjeRE9FpDtVotM1uFbt97P gtGEjYv/ABnKr5vUHxrNwqBbT8lTogFLHxKnfXfOwpoU7brVsgln7XtHTbJm cDSeolVCbUHHmghvqdoMwh/lyECiDVDeWSFImUap13LcakA76tpeb2PWnMaU sc8vxc1UcGx82h9QNIXrtfxcL8I6oDPwM5TKMwWmn+86h+W7YM9S2Zr+YBI6 aTPjTHI9iCGLGXG9moD7kKas7o0+XDlhH5n/lgbtoaO8LG8G4PBDxfqe0zi+ xdCVmXYNQVg97WcHkTc63hRrej8wjAAVHXo7+VHwp9vkvmobASlURjZ5H5G/ aoUM9xH5idPmrb5eTUOw2j5fVfZ5DDw6O1sUjg9gU1kn61ffcVR96qDb8rAX W/0DxOKFaRCetpKXlupGm2L0C4EcGs4E/OQK+tqBO4vCVsMcE/gqfGxCiIOK X0lz8Tb3JvDy9Gp36cl2RH9fZmiJmQDX4f3GNN1WFEn+yyisncCInY266YYm 2OqTqYzUCXD7On72fEBGFYf6h8LKCZDbJwJqlquhq/H41lPi/x0laoU37lXi os5ZAw+zCUhR9n2OWStDYZVaXrT4BAQUzMvmLpdg16k9DQFTNMw7j1zRmi7A V7E8uXoif4ylbsm6XZeLwV9qResnaAhtojt2aiEbE+9u/hCuHYeseJSyoFEm OHvbd7kR+bT78IBUxu506HUkbzOijEHEWGa789EUJCkp2sheGkNiJr/sciLh 47Hxf4HEerab7O7XJPK317qP8rslR8Fw0yqH53ssOLuGdj2MI/K7EPKsb0o0 wqzVyS93jmC3icBRDesIZPg0aGs4DaPX43AL055wXPzd5nu7YwjMOx4w31cI gQXPNvbVzEHwfKRrDqYEIT7FbrU6aAC1fV5VC6UBmMu302v7rx/laksdw7/f EvX2YIOZQB+Erru6BMr54hR5h0pOXw9+8Og9bBD3wbUmks2LD0T9pFQ4t/rJ C/nHHtMbm3aBN/uPLCnkBV7X1cX6KXRC4sismPCwB+5fFjpyWLADbvPGqLZ1 B8938R9sPFTkvwmrn7jgBnGhT/JHuSmY/xPb9fzGc1w8sYnJm6Ud1+8zbkp8 7goWL6+Tf5nb8M2wb+7TFxeoXlKvYORshZEtW9pkgTPWXO9WqBk2Qysv3qeZ 2RnTrCYuH1IbYSl0ejo4xAkh8VvFZ9ga8MFBn8vMyAn+Z+xZdhN1hPWVzaI7 jZ2wwq/+iI2vDozXw8Jjg50gnXF0qFq0Bm/O3uQMlHOGtrNowZxRFaqkOmPk rrggX/d2hkVxBQKVL761f+CK+An5HqOz5dBz1dckGz1HWP/7Du68Urg9fl1z IcwNHg9vVJIlinFMpKr4Pw4PhBbY7Dw4WQCtgab72YOe8Iv1INU15eFWo427 7r+X0CG/sByyzIGBmEshx0kfsD4UT+24lo0p0UX2f0J+mJ++dui8XSZMDZLs ltb9ceeFavGT5nQ4lxV9jV0IwolMt8ig9DToW66OWL4IRUcs++Gn+1KQVzGX UTD6AeG7dn70HyRBvvf6lAVXDOgT9JsqpxOhGebIy3EpHr9GHLsppxPwSWPZ 8OGJJKi7zd1VJ8fDjP7O8+sTKXjgLfTeKJDwfzLu7C3VDOj8aQhYCoyFXP3j stC0bJynd1i/UxuDA6rkAynFeShZE5MLF45B9hPnogjfYjxwpds+XRANt9aa A8cjyuFvvczGZBcNNvmIp39mq7BHgE/yoX40up7RT2fM14J+keGUENFmGznM xqDegHpbSftXT6LBeOCmdv/fZtBNmg19jY/G9otbmsuet0FrRoOxcy4aUntH r2xJoyBD09x74EIMeslty6R1os4IYR0uLI+B2Vrzv6JH3dhgc1ZC6VIsZJZ5 ecjfe1HJSNFxpsRi92aRvPldAzhXlxZ79EEcxlMCfbRlhmBE7/L1ztZ4nHKc +SD4eRjW9+uF5MvioX1p2j2yeAQdrBtNv7l/hOyq+pbu6lGYPfEdSryeAHJ4 EJ9u9RhMV/NGMs8kIiBC3vF7/jjh4eVhY/EkZD+W/tYRQ8NgobAxtzQJW42P qr77bwKnxE+uyWsk4zXjoSdiypM4GP9c87rdJ+js/r2wgX4KXy+z/B7NSIGy zVRY66cpJG7kD3GgS8OvMLVjCcrTeD3VWZ5v/BnV0qX/OtqmofN4lYchLR3v ygRjbz6ZwT6GN755xRmIvxi+FLA2g5tazYZPRjJh9jjB0cFyFspWG90VeLLx PsjK6DDh35+/myoUTb/g5CmaQRbHHPbJ7KWmtuQgyzL78KFLc3Dbt9Ow4VIe NAqEuK/az2HjEu/K38l8qHYke04GzGE1SDzejPBbqshe4lb8HKrqmSxLtUqQ 9tDBJvbjHPJeBGozPSgD3W5b5ZDQOVTnOnY0l5aD+42lXKbzHLjiW+2/nqiE weyfXVt157CezOJxtLIKUX8OK5sRnvMaNN8yta7Bo/Ko0ktfZ/Hqzf3nLxXq ECxnLvUrcRbVpEVuW6l6lEnqLVvcmIW2lUndPo1GZFv8PPl2fQa3mzMlTXya cZ5idmhz+Ayqdg/UvUpvRcIUO5XKMYMtEt/XPU+1g/+qNEnt+TQch+42Fg1S 0BPP/+pw3xSYN9KqJ+I6EP16wXqSbwp9slZ00l5deEmBIkVrEi8N6Dj3+vTg pFfp4x8WE2C5/V/Ohk99SH0xVypkRcN4lP3v3vEBWAUt7xe8MQ4Hn8Do5t3D kLyms/yBbwyud9sz+TaPYD0XFt7soxCQJ8LJ3xHIp3TqGy4M4+OHSe6Hs6PQ jVw4wmw5BOdnFZdqCX/4Qmps+9r64aN1bTwubRy9BWc8mbf0wt6j9VjgeRq+ /DcV9LCvC6evOcpzNtLge3m851J4B75YTJH6jkxg38HTQZG1FPjy6n/6z2YC Tf5H9lcttKH+/aoLXcoEEedEHivwtIK5kNFAu3kC7/8rZjkW2IiVPsM+i64J vH3iuH5lMxlbli5xeVVNEHkHR+TmpGqoyaeshUQTXn+eLFjjr0TYx/qem6YT yC+MY7aoLYPVWJSh89EJpFxqkddZKoZmOxtv5jgNr5dGwreFFqD0ZPDph340 aN5WKCO55yKjKdDHUIyGBD8m79252Uia6jnpVzEO0ddeNOcTmWgNTxUV0BjH 2iHhv+5Tn3H7lWf+s5Yx5JTQ0t4sfcLf2xe/010Yw5Mip8ynT5OQ9CJxVqB8 FHMX1nrWiDqg9m7la12JUexSUGDt7YnFQ6efBt9iR3AjQvqXT3g0bvBVdu1h HcGhP5uef9SNQKgq7dhv52FomW+zEdgaDre/N6LHe4dQorqYKHo6BMeLn16O LxiE/1mpgCstQThtuW7uEjkA1tS5g8qEz/orrhIeL/vhEOM1Uf73LV6q9M0I n+hDsaaebqy8L7B4yNJ+sge9IRI/tY77IHot8pp8Ujc6bH8OHCZ8Hn/udnKr bRfU4tIzA969gMr2idSDlzoRrNLW87XfA9uyWQ3CJTqwLai50c7KHUKOb+3u HqaiK7hJP0jZDYyVrmPa/BTIfnvnLnn1Oa5aFR/n2dWOSMbXvHRPXZEtuGNl ha0NJjniJvNxLqgSjFO3398KofyPE1MJzlA7/q7tgHUzchwqohKWnJC4+K7X pqQRzX8SuDVdnNCetzjWdLAB+Rr08v+UnRAoxd24K5KMCO+jLx+fd8I5hv1+ x4/VYfed5YlseyeEbfXeJCdTg5xChJbxOsNY1HdrsUUVhss4GweFXLBXz9Q8 hFyBHaNbZ3ivuuLHjZZ94yrl6I1m51dTfQ4B0T+HqU2l+KpK/sX5zA2Nqkbx 8qrFeD4+4DPx3R1OQoMHbv4pQJnAacWlXE9ISjTy1g3l4ayN9KJd+0tMLXSE xLjmYCXP4NoLOh846EpU6NzNhomhgpbxpC8MHPRV3D0y8euQ3M+Dnf5o3n/h umVfOn50i4U/KwlC/bMbmxjq0vA5YD01VTUUA+cPvzCWIFy9PsTgH/wB1ImD T5YXSNjCwKT0eCoaYy4mrtG/E3FpcOMD7l3xsBmj1xVUScCZEH2p+ZlEPNsR EMNGjUfXa9LEXd8UODFnSoe8j0PUurK6GVsGmLqmUl+HxSL77RGndPNs3NKg cl2vj0EgRVj83aM8+J4WOdhN+OygOeOzfLQYtx0dmwzzomEld/zgzTvlUIkQ +RX/OBoPIp0V7RKrkHHZwzfwWjT++6Vkm51YC4/uCVnhq9Eolc6P0fpXD4/+ 7fNJD6Jhksqs9N/nZgg/qqE+ComGmJ7rkat6bfB/7WK+PBANFi2Nru1eFIyM qPRSz8Qg6VnD24GeDrz3rI2vTI9BnTQlfISox9lZjSL9z8Zi9Z2rVDClF7um GCvHy2IxcHjkZvyPfswuRpd+uRYHpoXzuep7hmCosTefYyUOlqb3Ps1GD0P6 3wwT/6d46Pcd1L6YPgK4SJ1hsfiIs+nX633yR/HHSGgv/bkEqLef4BcoGMMX T4b0y4cSkTn+hYX2eRxvSIXCF7iTkBp148N8KA3nfr5ZuryXBI83N8IoRBzU iN8c1CKRjNbjQ+MvMYlRfpaic/qfkCO0ctD07yQw8eT4sZAUqHDZ+x9PnILF r4RWUVoqCm2aX3xVmEaQaaVXv/Jn9FU+W//aPA3t+dNvvGPSIb830tXahvDn m2PLhqwMeDecmxMlfCLRcsyo3ZkoSyuJO2Q1C4oVqwbbrmy8C/nG5N48iyte f36P3/uCmkL2zsfcc/hrcSPOm/D5dWJz6NrlOYxmvBW9fjWPGM/P6h1P5zAc XCOQPZ+P7Pt3S/XezSFkNLnPYEcRUQcVs4slEF5/vH5hXK8EZ1zaxOaJdoH3 IY2j5mVg4IzNcgybw1rMfv0NVcQ5eVAQCZc5uGiG1R45WYngyZkebcLnibJr i/drq2DGOljrQvg8JjMsG2ZXg/EigcHThM8J/FJs8cp1sBedHasgfA5PYDOz OV2PVYZrn/kJnzduvJ2ydLkRMS2LD6SI+c8p3TrK4NcM7++/bRPCZpDc19qL rFZEuewNYSZ89k8+JKp0th2s8zFWG12ncctOViB+jIKsXYpftXqmkNzYo8Wd 3IHgxsMZ1vunUKMTz9vm14V0h4Gp6MuT2Hnhx+rZoB5w/Lu5ZfLhBO4YvmUu /NIHLkXFlD3mNIxc+o90YnEAcRo14T+IOi9ccTi98sAwzAa3pvPwjGGfiI7r CFGfOXPt/1i1ZRTVvAGruhtGYai6XmAwNQyOu4VPnyyOwkDPODHOgPBZd+Gl Ws8YbmxxGJQq78cLpt+/HbPGcXaZMnfpTw8ann19H6pGQ8+pkeQPDV14ZnCR 91wLDWqeS4fjfDqgleVbeE14ApO/fV5tKqDAfFFXVMl2Ah9y4pXvjLdBnt/E e18qUR+3fGw7vaMVucsH2TsIn/8KW1YzujbiqFC99R3C58rihm/Sf+oQXnY5 cCvh8/3hRoct76tx78ojO0rUBDL2fnWY5a7Ep/0/XA0eEP0WP87JlZTB+8qt Fm3RCdguTVvLjhbjlan62/tjNCSr/FMU9C6A4+F31Yy+xHiL2NZ77HOxR7Uu /asoDcWfyJqnUol49ETbibt8HF3vMw8aCGfilVN92pcL41hYHrEy6PuMKnRV 8TaPwUyhlMI79QlsA6+yc9XG4FH5bELbmsib2ZdkVktHEaWYfaHa8iOKuoc7 rp4YxaRdQYJURyyiL3yO20H4/Kdv8fdRIg7hdmHNA2J/VAUaRheuRSCr7bCa FeGzQuFTHhaWcEyLlPOJET7zpbjIqZ8MgTdH/mNlwmeatIzM7eYgtDvJCzkQ PrvOdiwzET5zZPl5thI+nzANtmdefYudr5pnfAift//tdrhwzhdFU0ctZgmf j95PEN58wgcbMjXfVhM+VxdnpAwSPjPdmp+OJnxO0rjVrBz8Ah0xG3ZXEz77 HLhzInTAA4P6phRVyQ7sX3wwyG7tjsabSvp7Bai43JqZxqfihssc53O5DlFg cSdXPZ3w+Y+f8b8mwmfhFTeKDuHz4fBalyj2NjxMebZsEO+Cl/33L7EeaEV1 3jOmQ4nO+I/x6RVZm2aUh7LEZRM+rw3fUX9a2ohJia2RUoTPT/zW0kr5G/Bk ViWwgvC5zOOE5nfC540pxTR2wufpfAGudcJnPW/6LzKEz6y5T3cwnKlBJxe7 KSfhc+W5WsWnllVY6A089k/QBd2FWuEX6ytw4OjmpjdXXGEWd/6gv2o5LJe0 +ENVnoMlPqlgb0sp9nseNZT9zw3FQ0G1jmrFUIhJ0xlYcscmcbdZt78FCJ7X HUrP8UT/akP+8HAetM6/+7PU+hKHhjddTHieg9MKUmci1r1hypKxqnIvG+6P 1G/8HfcFtYXRw8gzE/gjRRdD9UeZ11auM/3puPH9c0VoURASH1S8tiOn4cXj 3mZN5VDwzWayZEmmgPkMi8z7wA/QdJ/pPrhEQvONMJaQiWgc6BUPSP2TiBl+ iUf1rPHYPudRs0s1AfTCW+6zTiXCqGbj70HC51krtR+d3ilo3vJmTPFDHO6S bdVO78zAjZayX7vDY8F+2S5mzTQbjr4cB6sJn8UnhBjUHuahRdhyTkAkBizH Ld4uCxVD/wi35FvC56tiPb5LhuVwD4rMyiZ8fjtfRguLJ/KgApz1InyusqZ7 nhlfiwAjp0Amwmejk6ftJFfrkRSYf9ea8Hn6b2uyWkozetnTUgSIe0G71ZGY o9sGK42LBVGEz1ysdawOLyg4LCLrbUv4fDVf2lOruwMfnwe46RM+Wys5m5ir dYM5pEbvMOHzb5NlP9n2XvyzStG3InyuKN4gqb3cj1yVlaEzhM8Wl3RKmHmH IDFGZgj+FQebZrtvVwmfa7M38UYmx0NBbYN88ecRNGwPSHd59BFsAWIOTITP MePvfGzkE2DxJPBmav4Y8koDUkr5E7FdoUTGgfA59u4W9VyuJJRyco/7Ej63 CmyvL9hDQuGmMLIz4TM7i1LhScLnoV97/OQIn2V/jjYl6X0C6ybJj8KEz0YO jk3vglOg+CWSfy1hCouXVD4EjqeiIjdZpYLw+cnWcHElwufhav1/9YTPNbUs HFqEz8rJFjfuEj7X5IqljmVmwOnbfUUxwqe8ncrebYTP7k7MBeKEz0I6o1PH CJ/v+81WvCN8Zp8xJx25/4Wog91KXhA+R5O1bv8ifO7ewdbEfmUOinpcut8J n2PiTSb4CZ8LXrm/91zIh88EX7cZ4bN+7JN12Z1FKEk6LCZNeCy0hzW5Tb8E LJ9PeiwQ7djMp8afCJ8tjH/L2xI+G9iZ7vcifA6fDhaVJnxmLHzp8oXwmU7P YqMq4XO0cffIKuGz4C+GTRaEz35RVgkn7WtwIu6o1yHC5+sjTSIXVOqw433T qWTCZ9/emnv8MvU4eUK3h4nwWUDOPeXTlUZwm1o+5yTmzzxzQLWa8HkX/T0v D8JnR7cG5xzCZy2B3p0Du2aQe+HIeDvh800/++Yml2m8O2TxRGOcAt0mfsud hM+33vrHDxI+n/JzvXGA8Fk84klkztsuNPE9fSRL+Dz95bq54rseRKxHdloS Pm/XfqI7ltMHmbmYTl8zGnbZnAh7tjSAqLzkeQ3CZ+oh34cOfMPYJX62RHv3 GF563JV5S9Rnuyaf+v/ePIohQV4NOoZRRCzxGvlODkNdqjx8x9IoLnqO9P7R J+q0DdEanYTPHNNBpl6l/fAV2NOzTPh8iWTmE7PSA+kcN891wmfxRmY5pvou 6Ei3cvoTPldmZvKJeHdgdJvQWgDhMx076zApj4KcX5HNjwmfBZlvPz881oal iwr8MoTPIjsZz+7b3opp761tw4TPCszCXtzOjdCMGTxpRPhM7/fnachKHZYT fZn+VU7gK3OAXGFYNfZvCfQsIXx+VChU0shVCcP/7o0qEj7fO1FOf7m4DIGr Q5+lCZ+vnFfIfj9cDJ9i/QFFwmeRc8n6pV4FqAnd7Db8hgbTvVuXEuxykfpP draG8FnsB7f0yZRsCERKnF8sGweXn7e+t1AmBsx3svgRPssonTFl6v2MvXKz MT+bxlBjRd++efITlmUOTAURPn9bfR3iapWEeokMu37C55ZG5298hM+djXMJ 0oTPUYxfbhRSY9HXyHt7tmoEabPJb/V3x4AvyrErWWcE52mbLBP2ROH/AFHR pbw= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwVl3c81f8Xx4m0SIoGhQgpkaxKeimFEKVFaUlIiBAlETIiJBKyslc22Xtc rox7ry17Kw0a38Lv/fvncx/Px/vc9xnvc877vHca3tO9vYKJicmCfP7/a5Ye RWt6RMdz58D1F0MpuPX1rWQNYfaG445XCesYiJeVEj43m3PejPB14WLdD4Rn pDxLnxIee2f8OZ+w8N0xShThul+C14sI/zNJ+FFJuI3Hmq2a8MoigY+jhLmu +GS2EmbR36/BGkbBieBB5zHCL83Dq/gJy0QX+iwSDpb4/Hc34ZG5X2E8jnRI XLDX+P/6gJ1htzjhG0Vn7f6R/VRDVC/JEzZd9HatIXwJ5lEKhKtTr0s4Ep6O z9OSJKyceFxFnnBqfNgCL+GjXYHvv72hYDyWKr1E9JUO/uPLIxz66lxpN2Gf 7YqeXoQTReVtMwkX/HhkaEOYHuz6zJvw6ZNfWx4S5mR6eeI2YcGS4k1vCT8z ELZX+398NnB97iFcGJTdJkPYPeaBtyzRH2f0MmwfYSPOcp04wmLT458VCT/+ M8dzjPjHLWN214iwdqtx6RDhlIMcX+IJL9wEk1U4BSEaEs//El5VMKlGJ9zE bh5sQPxZn3Cg8TfhmaWth0oJy9yMXKISfnj4XOXqx3S07ftzVJ9wy+HGz0qE G//7bzGS7L/T7eKSLmH1/h1ZScQe65B1hsqES6Zq7byJ/eFUs+/MhD2ag+UM QijoK374XwjZP/mLd/Wx1xQYRcmNrCL8+cjcz6vBFLywpNw0+L/9vy8w0YMo +GQ0zhn/kA6t1/MyVYRLbJevryQ8sa7KcC+Rb/V7OuDoQOwZUCtbT/Z7bTWf s5UwNt9WNiX6HNf1Z07b05FetrB7N7FPM6W7cpEwV4Rw8wHiD8u3E4b6RL6n s/zxzQiSvzPeqsuEmbcyv3aPoqDHxu/mNNHnnuteaBxDwVoDv9vrib2s3U5s be8oWDgu1StH/GMvX/r6LJaCghEekTtOJN80b4QEEBY7zGQU+IQOmsikWQ+R t7e9mx7qTIeDrHG2HtnPs/BxqLELHa2bfvSuJ/o2SXlwDROWCeFn3/CWAtO4 sDf/CJ8Xfdr0//xbG2oVQiVcyLRbfivxN4etu0WL8C3JLRn0QJKPi+2WjmR/ D9qbnJf+FOyYlXS6TPSvQqC7gy8FK5/r7/lK7NVOsXmS602BX+3jiYvEnxrN 3NVunhRc8bqwM4D4m3R1pvTLMwqsNjeppJF4FZrVOm0jvO+CR1KZHR1bU01K BQibOyT87bOhQ3c5J3+zBwU+8zwP+O/TkTH/p3StFwUPqri7pKzoGMnVvidE 9Bd/yRvrs6TjnkApR89Lsr6nfN8FwsbXL+V/J/kiY6skUkZYU9qWtprEx9rU ZliS/H+O1XVPSDIFG50f3U0j+/9bY8O6mEVBc9On76IP6IjpuHXXs5AC1rM1 5x1I/hxWsJFyKqdgOZpbwIjEIyi5TGRfNQWHc1ovh7qT8/59rnyRcOUvoUP5 3nT89Z3/9LiSgq36mu9O+9HRzKrtb1lMgWTHd7cvL+kQ3Wl9oJvo+/dvwUMi iNT3TF4WRzwF7Kli6cmEWfo/PUkh+Xh4l+F2wVfE/6e4+8adgqOvPqvc9afj zfX9f5hsKHhqFXnTn+h7lfRe/KghBWoTFc/KntKR8r42rOYcBWzm//RVyXkc dJi7Wa5JwedS/nNytnQkXmiuWa9KzrNr9ECtOR05fBnZgioU2F7mtz14mw4r mPmeJewTdPZa11WS3zFbJSeI/PqE/uzvF+lwKkm/ya5N1rmyWTvP0KGyqWWU qkdB9AO9h66adBzxozkdM6Wg/+ajYaoaHd+/zC87OFIw3yzAtlqVjiyhqqM/ yXnpRP01sifsxb11eU0qBas+B2zXOkX6ewD3RUYtBRp6RntjtOngXRl9U3uI gvu5G444EP3iVp7uav8o+Ck3yldwgw6Dya8SD3kaceNtI7OoBYlXe/h2v72N yBvXp1oS//Uumk9JKzVCWHfHCRtPOmat1Zb+qDYiiCblx07iHRJ6xKtdqxH5 FCXhr9F0RC76Kp3UbkQ3H596Uzrx57sq23eNRkgwr3t2oojUB++FyFfHG9Ea GWy/WEuHjYdMPYtcI26eeL0Y1EqH5zbPrqNCjYgttdpl1k36xS9Zful1RL+7 ytjjQTpaLP8biJwj+aY85+U4Rsduflmhzy0UlJr5fOWbJPFIj4mLTaPgTWTX DX7Clm6mN+6SevDW4VM6Q+RpfjO/1l2jQGH790i/ATqWs5V2mMqSeJ+4zyHV RseocH+t5UIDdk1zbN1SQs7rzgZtk8IG7H37oaad+Jedvslxk3sDeuT9Z6+R eqef3hq2V78B2qnFrkIGpF9VnOzcc6QB3VvGygfk6NgTodqxY38DtMLP60Vy 0lG1fHrUVqEBd8TOFgXM0Ej+ba3tOdeA3YrvrvvTaGDktPqvsm/Af2W6nZNl NKj1b5WSTGiAqgADDu9p4J9XvDkx2IAfzfXTbLE0LNeqiViKUkCV1ktWjaDh +PRvpnA7Us/+VwOphCMklD8PUkn9bnwqxR5PQ9PWCHOtPY0oT4240JBFwzON 624jro1g91gt86iGhhpa+GBYXyPWuyZG8ffTYLjoMyEh14T+sV8PAv7SsJTc c174eROef+2/6CFAR//nY4dGu5qg/MXLNUCd1Md3q0NV/FS8mNVxSbtDx9qW c1lfNag48jTGeNaX3Afiwr6t96hQ9qqp+p1F6rXPrsDQlwq5ajEfiy46zjz9 LVMYRYXL25ciPcskH2qZYv4lUdF2TKSwUoyBK+VN6+4nUvG+JlhpvwoDj18d 9W4m8lrzx5ZNrzHQbzbrHxFIRWn7oPThhwzsqso4XuNMxVL/3el7rwjP8/7Z Z0L0/3a4Tk9jYGj77dQ2dSo4PfqfdGUxsP7y7Rv/HaNinGXDxbZ8BlLE9jSO Hyb+bAm0KCtmgF28njlEhorUR7OnoyoYYOieFVknQcWdLmsXvkoGuo4JJqvu pULD+GpgCOEvNc9ePd1DxT8EuG2qYsCgwWe0WJyKzbG/bM4S5tjzYVyPcNXC bgN/wmLku7CbCuvA1YrNhBuj5VUDCd/iiuFaV81AapB7rCRhx0rF9x6E5Xus uEzEqIjUCxNfUcOAxg6W8UhRKsZ6ItycCFfNn9zZIUJFpYJgtRqFgTk2+PTv oEIhTsSO9SMDnHvaVJJ5qCgZChbMaWdgAW2PD3FQYaLsrXmukwHKBn8LP1Yq Dh67J5Y+y0CgkEpUTWcTYq828T5k6oAmr2smNb4Jm8ebJV03dsDkr1R+u2UT JqYqPr0S6oBg4bZ6Dpkm7ErOCn60vwP11xW4Kr43AqK5sRnowNGd9kf8XzXi WPUDkx+nOmBx2CXy1D7Sj5yeSTC0OyC2eJ/2p4ICN822rG+nO7CsPPsfRYcC X7eN1j9VOxDbLuC93NMAqcgzMXGHyPoTCb2ftxoQ+iHctEqwA33jnWfD2usR FxQWc2SJgftix48lH6/HY//CAgXib77rQg8lvw6f/5oc5Ikg8SswtAyTrsOW DcP1NtcZkOV7ovgurxY+zi4mErwMCJk9XHfyZC2+2swJnP5I5oWSPwmFwzXY vOkA2yK5D/qo1Vd2uNZA6LyDtikbHVPzc9nLh2swMkMz5iH1yOcl9Ow3Zw2q u0v8o2VokDnONH+IpQapcxPMcdR2rGV59jl0cw0eckyFxpq1o3fbp4UwzRoo iJgLLHK2I36fUY9VbA3URnc+6C9rw7f3fOeW+GuRu/KD2eGHbbhuoWpOKavF 30MuV1qV2/Cus+rBmGsd+FWUyoW2tMFth/C1drN6qBx0dnyy2Ir3xUreunYN 0OhdvXZxvhXH7piNH4om87n+tReeS614/HzrrcOTjVg0X8XXzdsGA6WoxBxS L/2dngnOGm1IGtws/6K4GQ78Rdy9L9pQcUUrROhQCzi02DfyjrVhs8DshV0G rVhh0aMte6YdTy8KRB8kduwQLqod+tgOk/bQq7/q2/Db6laq3w0aVh2Va9tj 2o4vm5MS3kzQIPxBVVOzrx2OnpFxhmSekG15nPP7CJG7FrVxegsDvwbOe9R6 0ODq9dhuuIyB+isbT/nk03A4rnsqyaIDpm/XXXOn0PBe0OG2vFAn5sOVO2+V 0jBzU5iPq6cTcSl/w+8GkHMJt6Ytx3chb5U1+5w8DVqmlD82Ft34mD3vdTGn HdW2TjPn1/SgKmWog7abnAvfI+vysB580X6+/MGtDfr7uYfe7+iFsVQVZ0tt K6KuyzfVveiF7gffDzIjLVg6kbDXYrwXzFPHb1dxf0SEUp9e0rY+nJNyZfHy psLf2fHbgYN98AqYda2Ya0R9dhvptn3Qif31cUKLgpuRr69ESPaBxicsM5JQ jzQtT5n1LH3Iy1B5QmOpw0krX4pcSS8Wy7Jke+7UwM9fr7Fdvxeiveo1jE9V sLpn4eM034OXHwc0opMqoWwStd7LqQcCvrzONa4VWNYyTln5sxtZoLN8/FSG UfEc3LzejXjDRNlrgyWgblEXOlvchUsTGg1u7MWIejUfXreui8zJdxZ8jArB voO3tEe3E+OnjZT6JwvAYMRtLQrsgO7Su6BtofmQPmQi/bKZgVvVN1nUbfNg wtK12nElA2qJt9WYH+bi9rJi1/0jdPC1OdqFx+egO9PD4ZQtDbV1CtFnf2dj 7Vy1Z+T7dqiX7cy+fS8bdXG2c/epJP9l774/8jcLHmUDh72+teKAhOUJ29ws BN34yWYq0ApX86MqhqFZ2FNkoeT9/iP68kO8fydlYcQ35gSbbDMEPJP124az 8OC1/eEXrU14515XL6eWDfuVlpI/3RtBZ353UrAzG/TzV9ZVnCXvCAnB6CNB OagIOvZMmNzjMpq3OcddcpGmXlEmLFcP1yiqvnB0Hiy3mNmc/15L5hzmbede FYDGGssRNlCD/X7P548sF2LMfGD7H9EafDly6oy+Zgn+Ll1xCfapxuvofeNx 82VQN21p+cJeDUW2r9uSmSsh9N8Wcb+UKmxY23GxpLwKa+7Mtaw1qoKo9p5A 9Q+kf1QqXOU4VAUnrs3hpl/q4HF4IuGseBWEgt9qyBpRwJ/n3p4oWwWBiwvH z/NS4aT7z93gbBVYMsTGhh58xBBXSZurcxVSvqzuuOBE6lWFIi5A9Fhvi491 aGsD7c6N1KMbqsH51FdvQo4Ge2Fs/HW/GmtXrN3Ll0RHmolQjPFENVQHgt4u 7uqAZ0/x2lyLGvy+xrTvZ1IndDWO5QwJ1YLn8IMzgnbdmHz1OenOt1pMMN3b an+0FzWnSwzqY+uwYXYv+93wPmxkyZD6erseNSxDXM1f+sHjviVA8GADnluN Z2rLDUC6iyoTykvecWWrTWfkBnHfacejSI5GrDF7sbuxfhDhpU9S7Lma0Mvz d26lzhCGq6tYLMm9aOzOZBDQOIQHZRpGYmHNeGhUywg6N4zCLupynXgLJlxc 68Lqh3GeTt7gZq14cWX7Ur3ICPQm/M7f0SFxqP/r+c5iBGuOr298ebwdYwYP vy5FjkBj+Hqw9wkalB9u1fhcOAIJwwMfb1wg76eoS1kJZSMIyX6Sus6OAeY4 k8DH6SOw8HBlvhzbgV2ZL5waPUbwN4/96+xAJ6RCT/+c1hjBBXlqW/HlbkR9 DuQfnB3GXOZ9rTXjPdjWKfD6s80w7B2jeNqc++C2/ge3weAQOqcZbEoinyDU 8sjt2oEh5B/q9TNvH0Bx5+aNAmaDkJ7e53b27SDmEnL/uN0YwO5KE2dz7SEU /2s7YULph5ty5Jj44hC0153lzuHsg3eBpWB0/DB2VZcfqJbtQYTpq6LjJ0ZQ bVhq0Xy4CzJspck1BcTue7JGWSEdaLFVCeQSHIUE772yMjJnz8o0UdjMR4ES M2EtO9Kv82VX56WNInplx9sdy21wkmCV0RgcJfOsq+2vZ61Qlo4SGGYdg0Ef ryh4P+J3S6njpc1j6LA60+5R0ATNqyOpLnxjgPCwEYXM79HsLx/d3zSGzRmV in3c9Vi4tlPKaHEUnyISFvM/1YDHLe9VWdcoBr5q/1SurEIVfb/p3vhR5G/q jN5UWQGHvo7bsYajMM1aYX+vphTNilFdz4RG4ZN4MlL/VxEkKHU31LtH8IZ7 s/XklQ/g8J41MvUcwb2P4199f+Qh/ULjWs99I4hSX2dSXJaDtdKumkbUYfy9 zin+rSQLrCt4lbuMhvFd1n3Xq+4MNOc76Df9GgJr695ipTdpaL1SJi3pMYRo jzkZ48xknCuzTPm2YQhXbQpkC/kSYftM7/Pym0EMykP2Fi0O157X58kLDIL6 NVHjeus7/DigLlqnPoCD5RnchetiIBjkoemk+wk6GodOOS9GYmVavEvE6n7E XviQFHk3HPpDZmMBVb0wKExcnWP1Bi2LDPXHrj2QyBkf9JsPxrzp0DV2jW5U Ga2x8hp+hWtnfIvdebugd+3kBSXxQDikc8e2zHfAanwd7WBRAIzkphRedDMg U5szI7DJH1c3RBzeSaGj7qjH4hLvCziHnWYtr6bBdPS76K7HPjjywvy9DaUd m7bH8MWKP0dJq+L9cPc2GAk2FOpUe6EsaO/lxXOtYHGK+DNf7Yn80qenpi0+ Ypx51OH4dk+0XrMYs9OngvfSwmqpSg+U+HJ9GjZtxBVLh1/sqR7QL9gsdCOs ASI31b0/0T2wa6PZd+7ZOphb+x/tVfTE1UDe83sNaqH4R3sn74AndkRrGnRO VkPehHpXr9wLu2ScJQwCqmBk8lOq45M3Dv67H/FLsBKKOa2XnZ19MOFxjrco phyazOVmK1xfoGxU29BFsRSiMrt0Bb/5Y2XHj7rfa4vxhOO+s6zFS2idsRvZ zV4Iv/f3Dh0Ve4XzblTLW4oF+DdaPJGxPxjP5RtfnAzOQ9sF+q37wSHgsl/K KPXPgTJdRnH0ZTiia1KurvmYhShOnYzXx6IhnMGuX3AqEyWKDe9GdGKRms9/ 5tR/6biv/OFwL3ci7lvsWNz+Jx3+0q4PJjYnwjLNverrr3Tc3hc08WNrIlbe PBdd8zMdO5R/vGAi+fXewev1m4V0nHwQd4djRyJ+DQrFm8+no60v7RGvQCLS 6vh/cH9Px8Qq+1VywokwfBH3rnQuHa9FGu6cEUvE0djUHOPP6YhLaIgx35uI +VLfU5s70mHF69uXez4RVQL8bTNl6fh85t/Rs08SEXdGT3wiMR13o9hMjycl ghyp9OqX6RC/pvTbqz0Ra877vxPLS8OUsnTq9efJWBvPvnh5IhUH9b0u8Bin QqTHFpJiqRhrUgg/b5qOp/3OdBnbFPL+W3z5+VUGfkr+usr6MRmpHCXvphcy IVJ9hDvzXxLqxxvSGMXZKLvi2yh0PAkTod+f6+bkwiftUsPuykRYJP6J+WCQ Dz5ONd5BrUT4zIn8s939AVuM89m/jSbgVBZTXNbWInjxh3xY452A1g8rRN9K lYBJqMJZTyUBvKbXNMK3l+FZrKj9vs0J0Nl53OdRcDmUlPpa7nyOx6EDhwwL /SuQEnmdvtgQjzj/2lsuVyuhqjzZWfw+Hp1/rwpvWluF6TNiK4+ExENdQnks tqQKEadmt9q7xuOFhIiSjl01Hk4HbTG2iseeUKF1+2VrUMUuW6p5NR6nW8sc JqVqEXjLdo+9djzyb/rNLMnVwZlj1WivSjxE51tEw1XrkbD/KI+lUjzSdP+1 999swBGTfn8hxXiwvugIHPCkQGnrzy82yvEouiTSLvGiCV9Hldfxno1H//d0 x4nMZoizBjbOmMeD11InpfZ7C8zZeYtrXsWjwPPTZU7xNvh3XFp2r41Hof0J n2/G7XB6JanEtSKBvKvZHTSzaRDkdAzWPZWAtpzNEWJrGfCP/B0hH54AmVv6 K/TJnG6Syns941cCdmR/3OFE5vJNJ3fV+N1LxAD/UoT+825I7xoftV1IhILh boX4473QOPrA2tA7CVKSdzaZMfXjzJu+TTf2JmPSU57yrOITnDt9HzzpTYYg bxa57QahZsqj1RGagnd7OswtdgxhV9yzc14krzyPcLBcIX2ZsoeyYb1jGhRm 9xREMJE+/1KyJTWB5H+WTofy8gikrrb87Jh6j0Wuj+tWfhvFr2Tms75CmajS p2htp4/h1XVKvUdfJnQ6+w/uTxzHO/kINpnYLHi52ZfeuDOBcF2xr98fZCP5 RLPmEd5J7PJ6yXNALwcsoqZncwon8cOxjXm1RS7kH4eukjeYgs+W6V+ipD+c 1ufO+jg5hY2XtWMM2/IxRZUMj74xDSYJq0NRQh9g+DHjKkvtNNQbZW62eReC JzmW+c6WGRyd0ptaXFUM3rEszVP6MzCmsQcciizBswMJ2zb6zsA0cXV60uky uC6JndueNYPm4Jtax/ZUYJtYxeP5phlIUwuYzFCJtAO16627ZrCx4pXgcZMq lAmovPvaOQOBpr+19e+qIeut6hNG5MMLpIxW/CDvju1LgjdzZxCkMmXErF+H jvxIxZWvZjBWHHyrh1EP3shRUjMzuLY4MJdgRoFl4+SJtbIzuKo7dWe1TRNu nSvWj5+ahsXQXZWQmGZc4J1Oexs4jaZq4//Ef7cg3Tv0wpTkNMKLvg4pHmkD W0HnDa2yKVic1q9aEdiOBOOTh84rT6G+ezmFbYmGarfhxRu5kxBeX+id4cJA ox3f+qRtk2B9b7nMx9uJU2xskgr3JpDwYvfLbK5uWBcMGgsHjSOBtz9NTbQX 9vckWRyjx+CqMF+keKEfb78EsYgGjmL3+1ibXWEDmK9uSp43HsGtnV/ca8sH sca2bnKDwTCaC4+pD+QOYdSSWe+54hCqT6rtb0waRvjbkZBE1kE8236moOr1 CPp3TL24a9mPeSqbmI/DKJiTW+ZrEntwg64UabJlDF5h8/KZ97rQ+8h7t3wC mY+MDuZNCncAda59AavHcXK46GCpGh2fitbaVV8eR7quxcXl2+2wCTbiSgkd x2SW6D41t1ZIHsx68LNyHD4Po73dNZohaH1lg34rkQ/mETodT8GcruPJSrIu pfA9+rNIHfbTGG4vo8fB9tXdb86vGovZa27dvjsO6qe9rDSBSgjeaK/lkR6H 2gELOTHfMrzrkj5tMzWGi6t0Mmv5irHux8P56aAxNO9rvRD8vQBl++1uy8iO IWJ7V/Lgxjxwc7hKqjeMojDAxofDKRtZx37tva47ikcjpdxpUpnwMl0V3k0b AZrZWC7ppOGmMbvPAe0RGL2vm9GvTIJIIdv4bNUwshJ/jFNT4rFXvZ/HTWYY fRHfFjmZYiG0srhQP2YIeac1t0rmRcP/i4BYPscQdLlVLYcfR+D97telHx4O Qm5mvit8ZxjmApP35VEHsNdPJ1b7RAjOnNbL6E36BNs0fcZwexCcWy9mwLsf yZElxTalgVi3QbH1t2UftKTq+5R+BiBg+bth/7ZeRMTGBRkf9kPJ9XM/7Vu6 8SCkYFhMygf85dtd3gZ0gT1qasg6zYv0nfazLVc7UacrNP4p1AOHja+svKjQ gd+cV9n7R9wRK87nc3IHAz+l/HdXPXJDiMvh0BecZL6KUi5YpesKph7fLub1 NCjxt+ulXn+KHVq5Xd/IXH3pxplu5ucuWDJnNM8tt8JO0lbLq8EZPkLvw1w4 WvFpvXlnTcsTMI83cODMRwivqRB+I/AEomr+pe6RVJgpRC6oZjoh5ZMKTyFr E9ZVTGWveuyEm7bDBVVPKQgxXPM5+YkTRu1kXXy4G9B7jf/puTwnlD78t4Yu WIeGQ7GqnTeeIOEAb0XAxRoYOnOuLbR3xiN+daOk7CpM7ktM2P/EBZyCT07u P1CJljv8CtaPnsI9b8Vib1w5dNf8ZL2b54rJ4XSBjJ2lYOHn88iVc0e/zerW XR1FeBcdZV/P4oFjwUkkVT7g1NnzE3v3eGHEqt5u4818HP5WbMl81wfudIUy EbVcrJqyfHTsjj9mueOV8u5ko2mL+K1YkUCUft35lq06E3XaWQk7BIMhby03 vRj+Ho9UA9d0VryB8dLRe3vY01DTZi2dsScCYUJW/s/JfLEvW9WvSSUGylyr W1b1JUKMMbajwT0ONzMTqo0lE1DU862HapeEI/V+LdIVcfjhoswmcygddSHL e+N9Y7F+02u53Y5ZoJ22k3vr/w63Ov/ZRszmImxt3wqX2hiEzamW/FtdiNXX n9xR2BsD0Vvao/enSuGY9DR+a1k0vvl2TDjTKvHf2bmpPsdo8NX+9w8StWhV z/jrYhQNOdp2Pg2ZBshNJSoeNY5GozNl4lBAEy47MRjXXKJRukZCj6LSgkcq EV9OZUcjbDGpeGVCG/Qby6pc/0aja5fB98U2GswdNm9OuhKDb1T627c7OyBY YfDPpj0G0WaLoUt+XdhUHVpffP0dFJgyNDI39mL9nnLNvrF3cBk9pr9Wph8/ WqXO3HWMBXPL217tSwNY135Oz1EwDhVX4zd+KRkEtE7O7WXEQSt96K0PeY8f Y6lNSQ6Nx7rjFSLtbcPIrVmWlLRMQOUBtx6t1hHkLj3cy3QuEboP5Cfo1aM4 6ud5yUY9CTJ/HphEp4xhfznt7qR2MrZ/31Sn4TaOv8UOfM3GKbAe1Uzv0JrA j4pVHG8DUvFriKqawjaJbAFzeh81Db2VSgsemZM47H/ui/D29xAseDfipDGF O498Sjc6Z4D3xor6YfoUdBpHrb4UZWLLg6Xmp3bTWJjyUeOnZCFs/kGd2uI0 SgSYXNbOZIPLkmNgp+UMGJ67ej7szIXy8o832xtnEL3QoapimYfg7jM8JzbN Yueq6PlOcp+PbVG1e6E5i2TznguFpz9A1U6Vq8F2Fif+qvEdHSnEZ5PIH0EB s9hiIcMSt6IEyifZfIPfzaLxEnz+aJeBVyVAQCNuFgeUQyNSb1cgkttaNyRk Fmoa87eellZC6E1H6i+nWWwWeyKYv78a0h20fZ56swhVbf/JXVmDLH6pxfW7 Z/HXQ/TwQ6s6bFodJrTh8wwq2c6aNCo3YEDE+Ds1cQa73B/n/5RpBOf63d/O 6M1ANnbb8IwmFdX8GYfsl6ZxN4uR8OL5RxS4uLjPhU6jfvn2UdeMVoweVa1m 2jwNLQ6xV1T5duTxdnHUP51CvECH0aE+GtyyPB2Z+yaxP/0489NoBrIOHnOU Fp5EYF/66Q63Tjw6fuxNxIUJ2KbYnn//rBsHVplLX7AeR1a072vbuF6gSJZP wXYMEv8a7or090P74gXdpSujCKqszDTkGQSF+9YXfdER8BSlqjFWDkFllRGz 3dZhVKYuH6KQue9lgve8zcIgOt+NHvSdGMa+h+y1Ng8HMMtcW6VE8m4h1KjG vq8PIys2Dj9LHQWP9yOPQp4e7AyTCP/v+BimB1kpz8Y6cbpT031N4xgOlO08 lhXLwHqDWtZjouP4Gd6Zo9NKw+onC6q698fh2eG9Lf13G86KW1w7kTqO6Qc5 q7V3tkI9xOrtUvM4Iq1H2k2iqJjcr8Ni3TmO1Fb9mVfcFDgFrUltqxlHxMLg 5tOZtfgd4PiJM2Yc6y9utmbdW40yzcqvC3fGQb/R1Y3mCsQkVByUkxwHy/a8 7c/+lSKMtav0ydgYnL6wG9OjiyC/XmSfasAYxrQ+LvD5FGDxm+qGk1Jj+Jse /ehMaS7aW4v87EidlfT36L5RyMbTuyOfVmmPYor1alfJ1wwo1Ux3nSPxaTT1 C+f8k4qQW5dON2iO4IeKl7uncxKcFd/u6akcBv0UWwDtYTwcWJVUF8j93LKx 609m3zt8eJnKZRU7hI+rB+KC30ZD9rh8nyvXEKSlWgxtDCLQaHMn+rgzOZdW A66fHGEIKWR0KfUOgPG7w+fg4RD4jOJeTdEnbBzaxkNpCcKBS82dJpH9EA9o 49QpD8SHA/M/5D37UD19cNOjvwGI6LBOapfuRWldxTCnsh9am7fL80x0gylP gVGz3weXXnbIMRK7UOCaJBaZ4gWpCi/lUNtO/Dz1kYMn2AMex1+NJJ3ugIhm 6oJjnztSylkLeWUY4HsrWMBl7QYlnQ1DA7vo4D0yWnZE1RU/Ba8dbBaiISLE p3n67FPM/Qukhm9qh/k+RfHWhy7Yn3lK1X1jG6YVpm2KYp1BG1EtXCfQCuHa zapdCU+wzWKu+bL1R3idunwo77sTPp1a7C0tpaJt2xrWh85OUN/2qEdUqAm7 n9Dcjqk5gZZgn+MYQcHObY8mGk46Ie11yL14yQYwhauW73Rwgvi41oqCQ3VQ DeldrbP9CXY5Wl5TtKzBTGjDj8A9zlhZnXuEj1KF3wU67j66LpArNvKwUKvE 47alyDb1p9C2/aX4nVqO81Hqj0seuyLzZxirmVopuF5M7ns/74aik39K/f4U wURi6/7hD89QvUumd9XAB1jfL415TfPE7pITX78452NhhoXyhdkHwfv8nuv8 lwt9yd+WllkvUCUmyPX3VQ44N1Tbnr4dgP8BRjZ5gg== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.31999999999999995`, 0.19999999999999996`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.33999999999999997`, 0.21999999999999995`}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.22499999999999987`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVde37xG70dhjwYZdgw2NLepWo1GJGkXBgi32XqJiTezd2EDEEoMN sSFiQywHC6igKPWIoCBF6R0FUXm5Y5zP3Hdsxx1c7i+597138xfjM+Zai/3d Z7U515rbdOI8yynGRkZGnUsbGf3b39UrPrWutyFc99Pddbqx3dyUPrfmhrhZ BQlXNL71buNAH+GR9ZZXuXDlpDD1R/d7Ee7V647Uh6kPUx+mfolzuXrLKY+k Pkx9mPqwT1yxF2OiLykjypab+XOfIGXMHCfTsk99hROzxicu2BciTHmzGzWm f2v9TMrDlIcpX2xek6klpr+Q8jDlYcon7arl/rrbKykPUx6mvNXMBu38vGOk PIxd910zt/ODX4sdxt6ibus29vp4scPY7d52cF06IUmJPtRx7bQ5et1L2yMV 2kxyVAbqBg3NXuEvzO8Bn9gyplv7rjeEO5zbcrLMl3uU5DbFk367/lRp4Fbp wUGnO8LY70RXSrB+HKIMrO7Y/fqqgM/sDnvrvakf+Vx4dn+zuPj0SGGnj4cy Rq6JFi6nPza/e7k4aQ877xPGTnnqL3I7nWZq90b45ZYLc0vVSRTuP8kjJfF4 sujBzvvDTv/kfdA/YfonTH2tfm1/xY4ebXn6I0x/g+lPMP2H9wFjp/9gh7HT f2D6D+8HPljig53DtiDl/cVxlfc0ilFW7pz5y6jxv+lqmiavbWHlrFQdGlsq csopZe7GAutOqf5K8WO7O/pWvqmknn37+IJxsrSPHXbvppv9pFWa8Mcn37Ya m5CitNt+4FnvZWE6M9fTVmbz5yt25wK/3v5TiHCOf7lVIQMChF2jNhzvPtlX mP4NL2j01uJphzvC0x89ivYud0mY/l+uxR/X08Z7yu8Lo7ej7e6bTQdfFo4M P3vNY4FO6rd5nxi2Zdh9qQ9T/l6D2NEnfO8JHwjKGDk34qGMV8rDzH+MX+ww dv4/zPvnfd/a8WyRpYeP8Psfpvvr3vgL8/vC9BfGN/0V7hJzt+egY3qlvO1v p2I3Bwsv+dG++cPKeqnP+Kc+TPlXzQ+ePHcgTHig8dGmexpFSH3mC+rDPK9b g+ghJabHSn9l/DPeYPTWfh//JD79tfTXo7WWV2jcL0V+D9Y7mPUL5v3yvIxX mPFKefoXz8d44/dYH5Q2+PGyBHmekRs/DnTYlirzj88mXfKqgXE9mH9g+hdM +QYl2nX6/ZG6nsKUh5mvYN4XzPuGoz3Hze7/e7DML51LWyybFRXw2XoV6mVm kTs7QakWfnfN4vy7Mn/UrNc19eD4izK+nSO71rkXFKzscz12wHxLjFInf2te 0w8XlZCTh5236lOU4Lq/LawQtF/xWFRmxeDhacrK2xvvLu2p71Fx/TP31Jlb hZ9bJU1Y+OCIcHD4bv819leFe9qedRn79U1h+2GTYwJTvIV9nRY87XntgfDh CN089zJPhbuu+37qjLkBwot2Pp6zonaIcKWOwyebrw5Vsr2nVDhwXa94uCq2 GfuClaZrW9WNytIrh5dW/Co6MlTK9+8dPquP2XPh2PifJubvDleCF7+YYvJJ rzzbNTYnMTBMMZrnm9c3TK/k6q1fNTaOkPL1cuJnVOgRKfzicae20UOjhPOG 5bdPahYt3O9kj/M+z1We1Mr44hO3WOELq/u2PjMpTn7vs7+3iMo9HK24fbEm 8BtXdb2l/ONSZc0vdXkjbDJ64LmdyW+UtnbfvPfc91Sx/L5rzIAfVHunqIoX HO8kCG9oP8xs0eJE4SPXvmr7yw/JwmnlR58Z+SlZKeewoMW9DQ9kfTZrNnum xUwvZeSXrQd9OyhZ+u+OB8F1Wt5MUSLmev1oX/mWrN8d7FeUWFY37hbrM+3L +DawjG8DM75Zj/JjvYal/tn/sbOe//riu4CKn0Jl/cbOfHDl+KUmbsWeyfyA nflh8rGXJXzP/bv5wmBnfYcZb7B2PV8b/cq0w8HXYmd+gbXruf2LUeNeXU9S EqtGdeq/yEfx+uGu45WLicrMGhFDx933VsqmOC3YEaP+PiOSk49HvjqtzK1i 1c/X7qK8j13vu32y7L/vs/dT7opPqsPuQKW3bUlLr2F65d6FpOJ92wUqpSb4 G13+Vq/0Vq5W0esClJcTx5d7NjlU8W2col+z8pViO6ON5fjLIcre7WZzqy2N VsySa9/2rvhISa9d8KJ62QTlzJIGb7bVOqHT/j/t+2f96n3qSrukEUGyP3Sc 07nBgshAZUTJ0K3NlsQpz7MCIz/VDlSCrr0odrDea+kvwQfypg0KThXe9XL9 gqGb0oSZv1ifmX8Hl7+ROCMmTNf2/rb+OiunHtXKL/MxqaiybasLtaa8CxZ2 a5Xd/aJfiDDrOe1V+dFs94eLAWJ/NjhhtmvkU+Gfo3qvTtv5UDgx6sGDbZ39 hNn/wOwPaP9soy7z6pW9K/aOjS42XTvhtnCq3/cHWkx0F45+ZPn1xIuXhXkf sj8yvH/HSrvP+pW+qPZXJ+u4shFe8v5kP2Sw56RMClxy8q7wjFI/vzpY4Cvv l/Xn9Pd2W5a1C5ff3yPgSLPyt/XCtbPClludChIuP90v4k4t1c77pb25W4q3 LW+sls9t3vhQ90ZPhD1n2fd+muUj7GS1pNSZ4MfCvF+Y90v7kx3fnO1+wlvs H8aUDfTefFO4pHdQ99Bhp4UHXznv7JTkKcx4pb1611x/Tmt7Rcbbou+7/mKZ d1vYrbhvqK65r/CjWm+qxPW7K8z7Z//G+z4+ZlDcoHdBwi+nByePP6bu3/j/ ZfS2sy2X+El7tlFmjl+ZBQhX02X3efxdiHBDi+Ix44NU+8hDVxs2fKmX/WOl fTsGlfTQKxMm+R6vuDJYya1m47E6T694Pum32KyfXp6X/SLPt7yiTcxXZcOE L5lEJza/HKF4Dp3tsydDL/tLzy8iW7f6c/71WbHMdcuEMKXj6Yz5fwTqlV9v H86N6hkh7bOfpL3Bd6a/iqz9UrjvmyXZS2OiFPf9X7yy6qiX/Wd2H+9F51bq lSpfdL221f6l0icxsWHOz3rFaYy32zTfl0p8k64bs26HKg0rmk6xjYpS/lxR q08qpleqmkw7vWV6lPx/7fq6u+v1ecMd1Pn/vNevC8fOjpHyzGfY86veSe1c X13Pax3YkNkrJ04JPf2p8cFTIUpQsMPZ3I3RikfJWz1OdwhWvvnW+IhL+1il 9yP74PDYIGXSuqSBp9bFSvvsl2lvSsqDOXVd1PVl3cLtC5r+Gq88m39n2s0O T2V/7THlYJdXlv5Kzd9+TJk2MF7xam57+cN5f2XZVRNvD7N4dT02rOe098Tn SXKxdur+IGWgXXq50klSnvUcexen0FmvryWp61PTA/PSdqr7d/qb48wGZ1I3 6cX/Zn+eG7Hmnn2SysdXHj1k7vpCOTz1cP9u20PFv+68z+ulxZlHsl93GvA4 qq7lXpn/rm7r2mVJ7dXCjqurPTvjF6qY5T6YPCTvieKwwzmmvHeA4lXy24Km k18ru4LPZ0YMeaj8NnSRhXtUgtLwS+PZVVfeVaYmrohbuDZJmVYxaEXp9X+I P/yo9xa747XcFPPps5626p+qdP0ubOqLA6eVU6kdvtu+L1Xmn75BCW0Th3ro 2P/D7P9h9v8w9R/UfxRd8+tdUh+mPkx9uOmFtO8ifV7I+213VTe4aX608JO9 m/IjqrwRnrPoRxe7lknCXwyrYWXRO004xDFttdG5DOHGm4fpwz2yhBcuudrq 6r0c4TtTTdbvefpOuLL1qudzIvKEJ/SNaTsgPl/4fId+mxpnfxQuaHTmRUFB gTB62K+hB0YPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MHrYX6IHRg+MHhg9MHpg 9MDogdEDowdGD4weGD0wehif6IHRA6MHRg+MHhg9MHpg9MDogdEDowdGjzY+ zP4efTD6YPTB6IPRB6MPRh+MPhh9MPpg9MHog9EHow9/BX0w+mD0weiD0Qej D0YfjD4YfTD6YPTB6IPRB6OP9QF9MPpg9MHog9EHow9GH4w+GH0w+mD0weiD 0ac9X8B/RC+MXhi9MHph9MLohdELoxdGL4xeGL0wemH0wuiFiSfg36EfRj+M folXG/TD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9G/6XhpqENuqSLfhj9MPph 9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0b/jNvHq9v9kiH6YfTD6IfRD6Mf Rj+Mfhj9MPph9MPoh9EPox9GP4x+GP31Wje3KnknU/TD6IfRD6MfRj+Mfhj9 MPph9MPoh9EPox9GP4x+GP0w+oMOnLFfUipb9MPoh9EPox9GP4x+GP0w+mH0 w+iH0Q+jH0Y/jH4Y/TD6N5duE5xgkSP6YfTD6IfRD6MfRj+Mfhj9MPph9MPo h9EPox9GP4x+GP09FrlXHbPzreiH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+M fhj9MPrhzYHN9jU/Hybx7Oj7NrkWaVHC2InfrHZudKJY6Tix19uQNNSjXoLw jUkXP83tmCLc6sjNkCon09V4+S5Ts1T3TOFHqzasfXgrW7j2vIRnx33fCs8c N6jN6tBcYY9BFzbYRL8XLtO9ekTH1A/CI8yWmVd5/0kYvVo9xItg4juw9r4B 8Q6YeAb9BSZ+J+cRhvOEL7+IyRkVni58b8nUbx7VzxReGpuwqMfkLOHWQ+dc cnPJFo65mZ7VMCVHWNsftfq0/jl2+idM/4TpnzD9E6Z/wvRPmP4J0z9h+idM /9Q+P/4sjD8I40/xe2jvM7C+w6x3MPM/zHwIMz9wXtu558Idyq1EiR993y88 oH7kKzlf5jyX5yNex/wBc349+bcpu2zPxkl/If7DfARzPlwha/X2Mk/TJN7c KfzQDLcxZyU+AxMPm98gwty050XhHYvXzKnX5aiO+DrlYeI7xMuxw9j5/zDv g/MX/e1tKcWvhwtjP3poY0sjo0BlsdOwA56BkWLfqvvtWOecV8LPXDPyqhaL FW5+2GpIWvnXwra/XXP2rRkv7LOy7scTjROFq81eM2xN22ThyTZxp8Z0SxUe daKxUZ3G6cLFfrc+U7ZlhrCL/Wbrd20yhYds9ywW902WcO665LOB32YLO62o N9KrV47w9wuHFHft91Y4deZa14OD3gk7TLw0asuwXOEeo1+XWDIqTzh2aE23 yePfC28fYGFjOSVfvT/Ta2WpnrM+CEd0dr3QasFH4XVto8aYLPkk/HXzKmXK /lLw2e9xJdzlhO3Zl8K7no/Yc+5AlPRf/Hns3P+BmR/p//5TZ1e0+SZe+jP+ BfdRtPcttP1HG69lfNM+45vnYz5mfMGML+57MD8wHzNfw4xv7ivx/7lfwvNz P4Py6EEvzPMRL6A97fPgf6KP/8/6y/tlfocZX/weMPMR9VnPYN4n44/yxNu1 8eT/7P0Tno/zItYbmPUGZr2BWW9g1huY9QZmvYFZb2DWG5j1Bma9gdkf/E/d d+E8I9Az3NQnz00HP+q5dmewt7OusPslhd0fKex+h/b+RlHvX/C83TpWqXHM NV04OvJicKUyGcLpR/daV89S2WFgp2rrBmYKO1es5bCpU5bwwGuew3J2qTx6 5aGQvBXZwkZNe9hNC1G5UkL96rO9coSv7LkdGFbrrTD7JZj5R3tfQ3s/Q3vf QnufgvGj3W98+ulezN7N6v0l9h9yn8ew/4DZf8DifxVyX0N7PlXU+xVFvS+h Pa9yj+vSsol+v5I22+zOxOHqfQnZjxj0fLkx4ruVGy8LHx5ebN/TkQd1/9vv U7BeMP9o7xe5NOts9+usUMU7MMbqw6zHivvvNzLW2YTJ+br2/HHIyvWHuy58 IfZxpe26PTZ+LlzY/RzWC57nQ9zohHW1X0r9Ja2cTyz1jhK+X6fch2EB0cKD Jlb+oW6tV//l83/8S/7/waGLj+Q2jpH2qpefa9nmRazwlPwAl3IJr4WTeoa9 C2obJ4x/Sntd2nYffL7bG7FfTPymIC47Xrj48/1Wt42ShLfUP3J8a/8EYfxb 2tN/WTJ/ynC1/NCHH88cKp8ifMTjJ+OlNdOEm32aPrTXBNWOf0x7i1Menawz Wy2fGzTxbIs96cJOfvYjajhmCE+cW7Mg/7pqx7+mvXJTLU4n3FbL97/rY1zy cKZwumfuucxjWep9krErrfT3VTv+udwntXI18n6slnd0bzkq6lS2cI/TY0r4 n88RNhoUdcY9SLXj39OeS58qI5zC1PKvj+w4f/3yW+Ed+71Gn7r+Tnhwtz7G OyJVO/EB2nvb3vbciji1fMfdmSX33c4Vjtjc+ML6+3nCh792GTkjSbUTX6C9 7xs9Lz4iQy2/frX1mJ8fvxc2W7q59ISgfOHk2uXP93mn2olP0J59lR6jzT+q 5YPneboPCvsgvHxa8thvIz8Kdys3v2SD4ioT36C92GJH3SqU/aTevxlfr2yL OJV9rYdc+iqpQHh7XpBN/pcqF/X+zF99H6ao91WKev/kvaldr9erPBVjF9Nx 31RLUYKdZnU/UEW9L8r+vteQ1T3H3ksu9P4F6xvxHNazjS0yL+mnqOyQHNQx YkiGlCfeI/slh8XZA06r+4GBo0bYDt6bKeWJB8n+yTiv/Y1Utb6Rz/PLXmFZ Up54keyn5q1c2Lq9ylfMx+WY18uR8sSTsI+JKHB3WqLyzD9edTgx8a34a3Lf 5S++X1PU+zI8X9SqIe9mlFfPq/Bf2O/C+Ccw/gmMfwLjn8D4JzD+CYx/AuOf wPgnMP4JjH8C45/A+Cdafdr7ODD6YPTB6IPRB6MPRh+MPhh9MPpg9MHog9EH 419wX5vfF8bO/W3sMHbuc2OHeX8w+zv6M/4vjP8L4//Ckm9k8B+oD1Mfpj5M ffwN6sPUh6kPU5/xRX2Y+jD1Yerj71Ifpj5MfZj6+MfUh6kPUx+mPvMB9WHq w9SHqY//TX2Y+jD1Yerjr1Mfpj5MfZj6+H/Uh6kPUx+mPv4h9WHqw5THf6Q8 jB1/Ev8Vf0zyIw35EZIPqcn/5H63nG+QT0r+pcFOeclPM9i1+Wz4M/hnMM8L 41/BvC+tnfWX9lhf+X+sn+hj/kSPxLcNz6udf7Tvg/kHZr6hPoxdm+/M8/N7 wsQTidcTDyReD5NvSXxTm09IfJ33aWS7vbH9iGyxa/MzyU/j/8P8P8mfMdSX 38+gVzu/ap+X98nzku/I/Atjp79IvrbheTj/gPGX+f1g/h/+q5xvGBg7/iV2 GDv+InYYO/4fdhg7/hx2GDv+mcRHDIwdfws7jB3/CTuMHX8IO4wd/wY7jB1/ BTuMHf8DOyz7D0P+Lv2N/F2Y/F2Y/F2Y/guTvwuTvwszvuk/sDY/lvgD84nk Qxj6N/msMPms1Mc/or7kJxjKk88Kk89Kffwl6kv+gaE85zEw5zHUJ15Lfckf MJQnng9zPiD5zYb4nuQ3k09gKM95B8z5JPXxt6gv+QKG8pxvwJwHyfcFDPFk yZ8nH8BQnvNTmPNW6uOvUV/yAwzlOT+R+dBwHkN94pXUhynP+Q7MeSvMfk/y e8nvM7A2/1fy+Qws+XwGZv8DS/6egdmfwNr9Busb481Z51vC5rLKrP+sh9h5 H+w/GE+v2hhP7b5VXU+16yv7D8arw6ENJ877Z0j72vWX/Qjj/4eyZeNMq6rr sXZ/AbN+kG/PesnzMB90e313g62Zul/i/zO/ZFj2846fn6nMzNtQvG8Xdf1n fSd+y/+X+K9hfdKeb8H4VzD+FYx/BeNfwfhXMP4VjH8F41/B+Fcw/hWMfwXj X8GrKzUef+XrYEX7PZe/On9c4r+G+kc2r0m0cVD3wweivfZUr6juX3f+8HT1 h7FZiuueD8sr/OStLJ30x9IUhwu60Cs/FjRs8lQJtPnYLer10X85H9z/Ylir U8sDlZ5hKcEWmar978oPLyz/++/O7y4sf/tfzdeGv7Cre/6n4FThUa8ntOy+ KU3JDF5V0HrjBRm/9875NymofF/G6/uskcVMfg2S+Yz5zdn6SKN9O7JlvnAp +0tUu2VXdS033s/PSPD5bP/O+NXmextbfygobhEg+3fKJ/j3Lt55+4Ui54PT v8fWNR/34eoDxe2r/OnVhoQo2vxWWS80+eHafPCi5n8Xlu8Ny3pR9by/91yd zN/M/z+GOsx6PTJDsfVc8VVusL/M18z3lWOc9+d6Zio7/PL8WvjoP1tPvthu PdsxL0vpcNf18owpV3Tm4dGuDatnKNtbBGX1OumrSx5it9tjVqZiNtL0fPov ITqfeb865rhlKb3X915XuoqfYm3nX6raz7t1HuvrOt/MCZLf79f1z9fMM1X5 rMnwivObBCgRgxbmjLrmqlj33VnCZlWwElapf2n3Q3eVpdNSG2zsFKLU39+8 +LUInyLnq6f/Mt0hslGo8sF21r4JV/0Ur+Z+O79KUucv9+RiMfe8Dussl765 PW9iurK5uMn6R/53dBPaRgXevfPn+rfh1LVPNgE697rbS1tW+nP+CjuRPN8j TLerk3ug36BsZfnGATXWfAwTf6zEjnfbyvQKlf1px4FnMivceCJ6f655/OCG W4+VrDkzhy28tu6z/HfGA/P51qNfpLaacV3t/8dqrJrqeUv4/Q6T/U7b7wuv 3bF3SIlYb2HbSKPlw2o8EX+P9ffe+/iqu2wcPsu3/6vzg0v0W/nri34PFPPp ffNSv3IW/7zZ5oAadUra63q7JpxxMXko/iX+6ib30uuWdz2na50zrKlfez/x P3h+7XyAv9A1cMT0aeNCFJMw5Xq7A/cVZ4s3m7L8VX80fnSpWaPMH4u/Ofdc 3THZwYGyPxm+0GOn6/og5ficYRcPTdApHY/u/PG7zUFKQ/cBTjnLdDJf8Pto v0dR0jJ9X42rZ+X5TIc8W+xczfmz5+X7C0XNt8cf5v/XmXS0ddMuemnfelKc 5aIKz4Sze50raNkkQtiz18zwiCHhwvjPcv+ngflmu+mRYh+wq2vo/HpRwvtX HTYb2DJaeEXBytpNvF4J42/T3sPUqPlGj2LE/mau8bpmHWOFO42bGmbc+7Vw rZd97ofr44Txz2lv2mOXuldj3oh9wyDfNi8HxQuHdGu98dqoROGrN8ov2pOW IIw/T3slz873nZOfJPZGZnsi7KckCy80eWs+f0GqsNXB4AYDSquM/097ln0P fbunbLrYJ5Q8d+9ED5XLfHw5z65Phjp+u/m/XlVRZeIFtOfUwWjPnOqZYnfL rmSyxkLlkcm9feYOyRLub2be3cZEZeILtJfeaHJ8f9NssRvFLlowxlpll3Dn OhZjcoQdTRzsOjZTmXgE7fWo+qBH41ZvxT446Nn9ThNVfutbbmGT6e+EX5d7 n1C5vcrEL2hvh7HZ3oLOuWI/fKdbvapzVf7ec+5Do0V5wh3fj+2Z0kNl4h20 F5GxM+l5n/diT77gtCh1mcr2pwLrR6zKF16fcNvhgYXKxEdoz+xVVq8rQz6I vduREn4PN6gc69jR9uq2j8LBz5qkHLNWmXgK7a18OsJx95hPYt+6a7rpid0q m28+8GjPvgLhxg+2fLdqosr/fH/j/63vbxT1+xdF/Z7F3/39iaJ+T+Lv/j4E 5SXeY7AfW/Yi0bd3quLlmmbafNRPOsvddyqXLp3+2fckaur7HGp9ebfES7C7 l9pZZU2bdKVU8egS9R31uuzG8yc8L1DjLxNPBsx61idb6XDAZk/9QyESfzH3 qzX82Pg7iv+15s/nFfPQ7eg0Zq13+jndhRgXj1U3/i1OvNB79EUfXe+N9/uF 1shUGoRNSoqbEaQrUfPF8ro/ZSmlluxfYDIqQEkvqSyocMhNcemrrG+YcVO3 ul+x5Xtn/7kfvRHb3tbFX+e/elsPu1tqfps2/sF+if0WjH+Dv0T8Ayb+ARP/ gIl/wMQ/YOIfMPEPmPgHTPwDJv4BE/+AiX/AxD9g9OHvoQ9GH4w+GH0w+mD0 weiD0QejD0YfjD4YfTD6tHrwL9ADowdGD4weGD0wemD0wOiB0QOjB0YPjB7t 94C156H4q9i156H4q5SHKQ+znnDflvow9WHqw9TnfjH1YerD1IfxF4hnsP5o 4xv4D+zvYfbn8n1fw/4aZn8Ms7+F2Z/KeZ9hfwmzP4TZ38Hsz2D2VzD7I5j9 DczvrdXHfoX1nXgR7xNmf0H8iPcPs5/hfhS/lza/jvkR1s6H2vNv7fyInfEG M95gxhvMeIMZbzDjDWa8wYw3mPEGM95gxhuMPt437187/ojf8XswHnn/jD/e N+OL8wXi9ZwfEJ/nfID1kfNg/G/uk+Gfs/7SHucBnEcQ/+e8gfWY+AvxAe33 WbXfO5L7eob/x/MSf9DGI7Tjlfapz/Ox/lKe83jO/yV/0ODvS/6ggXk/fH9Y vkdr+H/kA8GU5zyF/B/s5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B 5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/BzNdyP8bA ch/NMH9jh7Ezn2OHsTO/Y4exM99jh7Ez/4u/aGDsrAfYYeysD9hh7KwX2GHs rB/YYeysJ9hh7Kwv2GHRx/e4DeOb+Yz1gvEv928N5ZlPYO15KusJ9eU+rqG8 9j6OjdngPo/zsqU+93GpL/dzuR8QXXFyqUMqV9ofsE7pod7PZT/BfKbN/5X8 IwNL/pGBJf/IwOxv5H6D4XyY+Yr5D9bex2F9ZH5i/tHmG/5H57PEL/63n8/+ /5ZfWdTz4MLyIws7L/6Pznv/q/mK2vPLwvIXteebheUzas8/i5rfyPhiP6M9 j2B+GOd3qFbwf+I8tbDzU8Zj50+3lw/yeKC0jpkSa/XvzkM33t5e6X5P9bxL m++mPR/W5lcUdn6pza8s7DxTm39Z2PlmYfmZRT3/LOz85+8+H9WedxaWL6jN Z/lXzz8LO+/8nzrfJP/mv+s8kvwfbTzwXz5/LGL+7T/nhf+cF/5zXvjPeaF2 /P5V+d//5HP/k8/9Tz73f18+N+u7fF/u/7J84niL3s2P/H5P4hNFPT/Vnpdq 7+dp87ELO0+V78GcsfFcn7NQpz1f1X5vo7DzVu39sv8DkX5M1g== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlldwlVUUhfe5gRtMI4kJNxXSIRQRQogJVZq9EUVsqAhSDETs0Qd1xlEf 7Eqxd8c2+mAbe+/YdSxjmbGMjr3XsazlWhl4+OY//7nnP3vvtffZ5zYu7V+4 NhMRf4E8sAeYAhrAGFAKtgUVHpeZYlACloNlYDhYDPYHw8AhIB8Ugp1AF2gB e4FO0AgOB92gFRwBesBo26YP9GsATAb1oM126ccxYDcwyfbL7E+39+B4HJgJ qsFcsD0YBRaCqaDZPmYc+0FgGzDU9hv9W6/X5Tm+Qr8X2y79abLfybEXgKxJ 3ifj77LWoNl7rgIrQbl9yPr75DH92dd+DAG5rXKyBvSBStDu+RGOtd7xzgET /T4fzALjvX+D/ZrstfWOq9Ua9nuu1nvnvH+fxxX2vcJa8Lcaa17iXLA2dgjl ///8wfDleK4Gl4GipFqb5hxTzyXWsdAaNTv2jPPCub3B7taeMW1n2+P9zHmu zu9jwQz7SK2mOybuPdX7lzoWzu8MOqxLlffN2X6nfeAeY7x+MIZS69dtDart Q63tt9sHatNjfWbav2rr1GWt2qwdx7NDNV3rtSO8vsZj+jbBftJfno259v8E 680aY23McV6Z93le02Q9G8AuoXPb4j3ne1/qtMBazbNG/Jbngue/COwXqleu OdbvHPNM7Wn9+PuiUK841N8X+Z3jfGu8j/PT62/4+wG2xfFxfh/8jnuxZnhu eJZ4dlifPGM8Iwd7vsBPvvPMs9aWeD7f71n73etcMyeHObeDdV/p/C1zrss8 Ljcrt5pb7jk+V3jMGlkaqoUj/dtw+9DruFbbf64/DzzlHCxy/FxzFDjR/qxw vrn+5FAPHRk6ywPO+wLnZojnuI61wHpnb2XtHAiOd166HDfrkDXIumMd1sWW GuRZ29FzHd6DtTHRa2mXNTTL64+2T3X+bp3HrGP2lyo/13jMO+o355h7zva+ 54A3wa6Ov8/5uYLaJ2mzyhrx902gMEmnX8APzv334OtQTVwEvrIG9HdtbOkl /bY74DG15V10in1Y59i4tgB2Njq3F4AvnLd+r+G3w7AmP+kOpC8/2Z/Ftk/9 pyXFyf1vAs1JGjTi2ZTkXxv7aNK+t1HrpBxQmzf87VuMI8nfe8Czof7yEjjd tkbj9ylJvt0H8pL62ivg7lBvOBv0JPWA6XjOSIr/Y/BJ6Nx+BD4M3fln0k5S ntnvLw31y1tAe1JPehu8E+pB94OS5B6d9M7xe+Dd0P+Uz8H5of5SnOQr/ezC +N5Qb00Yrw/10QaMrw/1M9q8OWSXWt7omnoVvOZcU48/rQljfTwUbz3G14bO ATW+NaTzaeDnUP95EdxgW7eDJ0LnK4f1lUk1fSe4I3RW7qL9pPM2KaluWDOn gu9CfSmTlDPmqxzjK0N3SQ3GV4fuhM/Ap+H/OJg/F8+TwBnWhZqwxr8N1flm cJbr8DrHxrio3/PW8EtwYajP/mif6M9z1C+pX43F89HQvTIB48dCd08txg+G 7r3XXQesgWvsN33e4DwxR0+6tqjzSMw9FLobqVm1davCsyOpJ9DOuCRb34Bf Q/28BXMPh3oE/+j8G/q/+QDzkNQrLwEvh+64ziS9qBW/G5X0Lc/BZutDX+qS /LnKOaD+jK8iKUb69ULIN+rRmqTJUDyzSb2e5+AR60D7F9sH9rY/Qv3tb/BP 6L753bXFunoGPB26m1lfrGnW2Pvgg9D9+h/W59yC "]], Polygon[CompressedData[" 1:eJwt1Hdsz0EYx/G7qlFbrAoptUeqWmq1NrVXg9CIUUEQtarE+sOIIPbeK/Ye f4g/JPaKWLH3XjFiJDbvT+7545W7+/3u+/3e89xzF5sxIi0zwjmXjkhsxmy0 Qhzu4RE6Ixb7MQ+pqIsTOImWSMQFXLRno/EEL5CGCnhg79S7OqGSd24rbTya YzEuoy0q4iquoRlq4jpuoD3a4TZuohw64Jl9U9/qikm4b9+qg8e4ZXO7YA5m 2ftG4zj2oI3FdASFWeNQ2mzkoL+MtjKSLVcz0MRyVpD/V9FWRQqKMV5HWw2N UIPxDtpaaKGYGO+iTbA1lGG8gbY6GqMs4016Dk0t1rvoaDFrrftQ29a8GoV4 ZogLa/6L38oz+uEHviMf+uIrvqGP/TYVf2xuPfzEL5ub32KN5f2ZFnMi/RIo Tn8cpiCJ8XgX6uMNFrlQXz0t1yn8P9Hi3aJ99iE21UAj+sk+7K3mfMB7RKE3 liKC/+vbHnzBZ+S1GNaiqA+5V843IsaHXCqHK1HAh73THpWnf8WF2lJMUYxX 0A7GQDRgvNuF2p6ASMZ5MIB+FRzGGbR2oWY/4pOtVWsqxdxoH87CcOTy4R16 NgPrUdqH2tCeK5clfZirnBahf9RyO0x75ENNZtsat+s5H86Oauo8zqkG0BC5 +W+69bXmyXjqwtlIwkyLUbHF4ABeoTvGWC2tsW+rpv5hmp5Bf2zTPjBnJO0o LLccKneDcNpqqp7laK4Ld4hqQzWy0GpEtdEL8/ES3WwNZ7HEhbtAe37HhTOt s6wz8NyFmtP7dMfsRJwPZ0tnKp7+JRdqd6z2XLn3IVatWWfD+RCLzsgxi0mx 6M45iLe2tizlmLkJPsSmHO914Q7R3aEz+NByrNzqznyHQ/btdIttAXpYjK/t G1n22ynbA+U+1XKd04daUc7/A786mNI= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVmWfYVsURhjl77Eaxt1hir9hFY0WKICAgqCBNBcWORsUWrICKqIgiIIIt 9hhjEruI2BALdsWOvWFXbLFk7mvu93rNj/nm3Z3dmWe2Pnu+NQcd1XNoadGi xaXxpw69e+jhIZuG7BcyMGTXqkWLD0K+D/kuZFDU7RK6XUjvkN1DOoccGPVt QrcP+Uv8bh+yQcghtA9ZO+TIkLYh64UcFdIuZP2Qw4kTsk7IsSEdQjYMWTdk t/DXK+S0+N0lZLOQk0I6hWwS8teSuFuFnBDSMWTjkFNCOpvLMPyEbBRyRsgW IZuH7FWl/44he6s7hRwVcgC5huxjHXleWbJ+aMiAkO4hPUL6hnQN2SOkn7pb yL4hXbT1t667fvcy5kB97BmyZclc9zd+L9v1cYzxNdh+4DpcHPg41NjEGWIf 4h+sBuNBzhm2Q6yjz4H6w3aYPvB7hL73C9mqJK4jLYO3Z8jR5gOui0NGhowK GWZs4hxjDOIfqwbjKY4l432cdfSZUrJ+eMjx+iC/k8wZXFdEm6khWzPv2sF+ qv7AdVaVthNDTmddiuUMNVjOVBP/NPvRboR1w8zneH2NtI7y2foGVx/WYujR 9h9szudWWU8u55kzGMcZmzgXGBuMY9VgPN+22C60jj4XRqyxIduEXKQPcI0X K3lfogbjGOMT+4KSGCcyhvoFy1RxEH+yfcB7mRosl5oPtinW0WeSeWO7XB/4 vVLfYLxKzRq5Wg3ev6nB2zqwTQh9bciNxgPLTWqwXC92Yt6gpt3ftYPrFnGQ 3z/VYLlZO7n+Q027afbHfp8a+7/FCsY7xHVdyJ1qsFzMHIRsF3Krccj1Lu1g vNcciPEv7fi9Wzu53qOm3biSsW4PmS4WcnpKfNQ9qC8w9ov2t4V+OGSGOYPl ATXtHqmyDT5nmQMYH1ODZaZ2cn1UTbsX9Y2P+8VCjCfNjfF7WlzYn1GDZbZ2 cD9uHHJ9VjsYXwh5yBhPaMfvc9rJ9c8l2zzv2E9wHbwkLrC/LG7ye11fYHzF OnJ9VQ2Wz0PeCHkz5DXr6PO2OTyr/UnzmOsckOtb6mfsP1vbO/YD+yfGJuZH IXPE+L45M64fqMnjPfPD9qF19Nm+ZP27IR/rA7/z9A32T9Xk/Zka7F+Ib66+ ZjpGO5T0903It/om/lfmxhh8rSan+drB/oP4yOlHNbi+097gCx/Y7kvj4/cn 2zI2P5sD2FuUxErbX6wjj1/VzNVvatpVJduC97/6w1cpWQf2HUvmV4deoDRz XbCkni/e7/y9UElNeZGSOZDr4iVxE+cPJTXYFyuZPzbOaM5CzsQlStrJY6mS uMlv6ZIa7EuWtJNfy5KadquX7I99GduS03KlmcdKIQuXxLi8deS0gpo8drL9 siGLlswDrKuVzIEYq2gjjz+qyXVVNe1W1B/x1hBXSzkX3Ao+A/eDD8IL4Yxw QLjgWuZMHvDGtlG3c5V8cB25HRwQngi/ai/vg+vsKk+Ek7WVJ8LD/mR8xnVN 9dLyPvgg3KuzPBFe1UWuB1/pJE+Eh3WQD8KpwAHPgm+BAx4EH9pNLgl/a3BE 2nXSTvlU55w7Etx97L+y88P4UobzwAfAAX8aaBkeAl8AE7yrn76xDRYTXHB/ 41EH32pwlzOsw8fRVZNj4beHcQaIa4j2QbaFJ8Fpj9Q/seFR8K3u9gNTg0cO 0R/863Bx4WOo4zLIur76oE8X+zfiHyc++BNcZaS+4FAnGv8E7YdZd4K+htkf 7Kc59sSG1wwXy6mWG1wcLPDEKfIzfJ1l7EOMM6xq8kK4174l+dw5xj/bPsPE O8LxPl0c+IX7jBbHGMunuC7GiHuEc9ZVXIwLZzHn+Zyqyf8uEMuFlokJX7pI 3OMt42uc7UZoH1c1+d94ccCPJoljsmX44wXyrdHaJyrwluuqJse6XkzwpSnG gOdcUTW53ZVivdx2De44uWpyPtpN0Df85nz9XVY1uSDtti3JBa8xtyv0C+4b q//nTHdXTT53s+1usYxfONdNxrnZcoMX3mI8OBQcCR43Ti5FPrfa7irtt1ZN XjWjanLTGx0jeNSd1t0rPuJNs3yDeO8yf/jV7VWTd04zHr7vr5pc8w7zmW67 W7RPF9eDYupfkgvCk8gBXvRw1eR5s4w3U1uD583UF3zmKWPO0nafdbPF/ri+ yAde9IS4Z1u+x7rHqyYXfLpqcq9XxAo/gieBFb7zvFhftDxD+zNifUnbLH28 LO452oj3mjGI/7plML1hGYxvWianuZaJDbd519jvWyY2/OctsbxjucHb3hcH fOYjcX1iGUwf2m6O9g+rJnecK9Z59mnwtk+1w2G+FOvn2sD6heW52r+omlzt q6rJBeeZDzwH3sP9Da/53tzma+N845zlDO7vb87gZ7iz6+QRA7RjW1Te0Ljf VpaPbBxtNwk5sWSePxjrW3hayEHwhbC3qvP7zYahN6jzmw0x9pKvbB51W4Sc XPIc6O1ZsF7UrR9yPNwh9Np1ftdp8LkFfsdjwHdWyD4lvw/srS/Ok8n6Y/9h 72Yb7t9W8hnujk2s4w7dTP6AbVN5xeWhR9p3QsjEkm/A7iXf5Zxz5LSjefXW 1tq29DkHvyXfNqzBniW5PvO2s+MCf+tVkq8zj9tH3juEnGr/CZ5X3FeTvLP4 njfW36tG29VCjrHuQuuXibplQ/gAuGbotUKO0xdn4O2O1WWOG3qy5yMxL7It YzA+5OT4vUv4aBNyepRXDL1SyNHxe/nQy9X5zW9f24N3lahbuc7vhYwvPI1v SuR1Sch/4vciYV+4zm+EW4Xess5vfv1t0897jNy5x7YL+7Z1fv8b7Vjjb5uo a13n982LzIH52inqdqzz++IaoVev8xvk9JBF6/wGuVTolnV+vyTOpY7hWH8T f4mwLxlyhHM82XEj1sX+Zq3xHQ2+tUfJ7337u4/h+bwN2Lu8C352b1P3W9V8 C/1SNd9Cv3p28B75yT3/s+UGj2c/NN4t1DXeOewZzgveFpUx4NJw64/192PV fJ8sWZpvGNrBk+HtnasmF4ebE2c1Y+N3GfuwP3mrNN4xy7m2wcIbYwVj8Mbg DUQeS+iva8l5gAvDvdc3fktj0qdNyW/McHnirSUmyrw1OupvdfFR5n3RyTEl 9hLusQXE+JPjuJhz1VUM7OletmVfsm/Zs+xd9jN7mXnew/llf/coeddxlnRx vZ8f+uyS58J5ISNKrhH2wRbuBXLaxTzGhD7UXNdVU3+F/VhXrfXH+XOmGMDC GOz6u7zbmjvzx5uri+c1Z3rjrljY+WEdMAaNdyR6EfvwhurqnLRzXijzbmqc o7y7uhmng/1YO+1dP/jYTT+cr7zfenge887srr+O+uQsYl+xpw6OPTekzrF5 PmTxOueJXNmL5Dov5LOQwc4BZwZcY0DJc4S6No4t4/1pyPyS79VuzgtjOKrk vbK1Y8zccdbv4/zRlnONM5E3wceh72UNWDfKvpcYl/ONdTFADPyvhfczb2fa cG6BdUjJ+g5V+uJ/M7TlTuXtzXsbTbmdPoZY/xNzafn9kPdC+rqmDnNdcDed b06TzIGzlPPvPtcaZzZnN+f8dawJ8fS1nvOwXbS/v+Re4c7/WkwHhJxr+xJt 6jrHunfoOSXH4K6QexwT5p/7bTPXDlyglWuHO2oj2860PWsHXsAamVsSH7He DP1Gyft//4j1Wsl9OyB+v1py3/aN36+U3LeD4/frJe/tu0MeMN+3Q7/lPA90 /PHPeoTvsMZZ+9x1rOvvQ651/H8J/WvIwSFfhVzjHP1W0kY9e5F7mD3EfcW9 xd3EOcFdurnrgPXAnTvK9QS228TKb/YT9zz7rH2d+6Gr/s5xrB4J/ZL+WRc/ uDbauIb4hsM+GSRONGX2wnjjsj7eDdmjzrnnbX1Vybd445sg58TjrI06z8VO oTvWeSbNKLlWWCe7h+5c5x5rfMPinngo5MWS+6t72HvUud+61pkz+baN37vW +T895rNfnXMKlqtLnofMbZ8655f5H1jnGng25MA6eRZnJXf4RO9rzhd4zgvM c51nKGXudHjjU6yBOu+BJ0P613kPkN8h5jg09Msl1/Ycy/yeKjbG7OGQI+rk ptNCPim5V1iDB9S5Dmex7uq8Q/aqc58wjz3rnEvmEZ7+dEm+CJYnSuLhPOJu 4MzhuwzferiPGJ8rna+ptmGsPgi9d51nE+M+1rGB43AuMEb7iZH1/1zog+rc 27u4Vvi+x9r/puT6Z71/7lpizGaXHLdudc7xNq4p+DRnJuvlsZJrZsH4vVCd 59Tljh1trnaOp5jHVeLfk7mtc71/UfLcH+wY31FynLnTeK/AOSr+6V3n/6jx i7/h+p+qz6nG3tp5eLTkXPwPcZP3ug== "]], Polygon[CompressedData[" 1:eJwtldWOVUEQRe90YcHdfQZ3dxicwW1wdwZ39+CQkPAJkOAe4AEnBLcQILzg TpAgCRpg7VQ/rNSu7r59zuneVbfcqGm9p4ZEIpEBmWCAJRKXGWgCvWAY+XVi M+gDg8mvEptCb2hPfpZYF7pBDvLTxArQFa7BUPO12mMM+jaxBbSE+uSNYQm6 JlRF14QF6OrwG5LIJxCTISc6L0xBV4Q/8A/Gx/kT8AaGwwioxdp6sAhdA+7D FPKtxMZwDyaRbyE2gEzobDAJnQL50IVgGrqSvgtdBeahq8E2eBuf1TqJA2Ru B7pV8HfOQ76L2Cb4Oxck301sG3zPDuSdYCW6nvZAHyHWgRVQljwF5uhsoAS6 DMxCV4HC6OIwA11Z94ZuAcv07ZAVvVP7Bv+mluRtzPeuDaXRe3WPwfdsTn6Y 2CX4HkfhJQyCdXzfBObvxrvWOx+DZ9AfGskHzB8kpgU/88rk+4kdg59ZI/JD xM7B7/w4PIJ02M7+NZg/gO4U3APdyLvCQuYGkv+A79COfBzxJ/wKrtsz9oX4 WeeLHkv8CJ9gdBxLZq99OvfgZ/oB3ut+knyNvHMSRkYPpbO+r+6E+SHkf6Mn k6PnvsK34M/SOz0gvoah0BOK8ds9mgt+R9nJx8NGdCqch6fQD9bAC3ge/Ft1 5lnMPSkvZsCpuId+qxrT3eYinxzvOLd5jag2NCYvZjb/rTxZytxD8s7M4N7M Tz41erSAuefldY3p3Uuar9U3lDf3pLw4O/hdNyBfHO+8oXlNq5Y1Vsm8ZlQr c4N7oRr5/OiJ6uY1r1rXmO6movla3ZG8Wc78WfKovFFbfogeqWNe46ptjclb TcmXRo81M68J1YLGiprXjGplevBaLGKuVZOp5jWi2lgevBZamWvVRAa6B6xF b9Ydo7ub9w6NXYL+5nevHtpHvc+816yXT9EBJgb3wEXoZT4nj53Tc8hXB/f8 Q+KF4LWVHr31KrgX5bEzuhfzXqsePBJ9k9gc+sa9zkdvac/O5j1HvWYV3ILR 5mvVk9/BHdgQvAbGMvc4eG1p7AaMMP8v0DOexTPRWagHqLeqplXL6rFX5GPz /xL9Z6jXqqeol6jnPoGJjG2KNSCdZv5uGjPzHq9605n9B3e9st0= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm8z0UU/fG9Q1pF6BVCUYRQUVqlBZFSWrT7o71ky1LZU1krj6iUtVCP XrZKJalEWmmhkFZtvLLEo3SOc96n/jife38zd+Y7M/fMufNezc5dOtxVOpfL zSqVy2WwN0Qud0TK5YbhRxv4FwKj4W8DegCDgCXA3UA/oAjoBgwANgNdgf7A ERiXBzwNfwfQExgMFAO9gAeAf4A+wIP8MGL7wj4ElIZ/L+zDQMC/L9N6ysC/ H3Y48CfQHRgI7ATuAYYAvwOrgbeAt4ERwCjgEO/jUWA8MAbIB5a5/xHgYMR8 ALsSKAd/DexyYIJjxwIV0H4oMA7+ZOApYGKmc+J5jXTb4/7ORFvOURn9lYAn 4E8CnnTsd8A7wFKvfanXPQ14xrHVMa4aMAX+DGCq++ugrTYwC/5Mt00HXgCe c2wt9NcEnnXfJK/9ReB5x9ZDf11gNvx5wBz3z7ctBBqivwHwEvyXgbmOfcWW sQX+JtfSBLGNgQXwXwMWelw7tJ0bGrfZPCKfvgY+Nb+KzCPyaZvz3N15H2DO kVfkI3l5AOZbC7vCfCDXepo/5BH51B7+BaG17MnEQXKRPBwK9M7EQ/KRvCQP yUfystj8Is/IQ/KRvPweWOf8ce1fAV0yrWWlOTPX+15onrybiYvvZeIjffKT HCQXfwA2ZOJivrkz3nyZZE6McRt5Rj5O8LceN6eezP7jH3+TdxM91/uZeM05 1vjM8h032d/g3Z3s8TOcV/Jkqn+TW+TjdI+Z5pyX9DGW3CI3C9zH+8H9jXAf efV/ns3z3qb5O1zHdP/mfIWOJU8LvaY5HsczJjfnO67QYwqy/zjKHLRCzMew b2Ti3BLnq7H5yPHnmiOMJ18Yuwi4KMTdD+Gv8th+3g/vLO/+z8CPzu1nmXSI /Z9n0qNRjn3H8V9m0iDm/guPIx8uDvH1I/hnwZ7pdY9x7vKNFc471/Kp93KO 18j9rDSPqFfneT7ujTz9xPGbMt097mmh+xd57au9/uXmCr95IObZL8Sjsf7G OO/vM8cv856533e9t9Fe71qPoybNdI5XeQ1LHLveZ8H6kWfuci3f+vy4pw3+ Lsf95P1vzHR/2P+r88F5eLd553s5P2x/LJO+bDYXttjvb7vF+aXWFDl2vefl nH+4nXpEDf/NeS1yH+fZmkmzBtpudTw1i7pGTdtuf5DtdsdTv3Y49i/7g23/ cjz1aKdjd9kfYrvL8dxzsWN323/AdrfjS7S1m8/mF5/P3z63od4zz46aRc3c 63byYv9Qbve6r6Sml7Ke0uasp9Ti0q73WcinRvf1GGpv2ZDOstaz5pfxO4Cx medhW9n/aXH43UBekp/kbJVQ3WXNJe8OCvG1RHPJz/Ih/1HziXpKfjYNjefY CW6n38d77O05ylu7+Z3D/eZhbAXHnwxb0W8Gth3mdqKStXui/adtK9vf4xww XxU9J+dp5Vq2OJP+5vltUBX2FPtHht5hnIdaXd1vgGahPrZPcR/nYGxVjz0d 9gTX+qM8lu20NTwPUdM1YKb9Wba17B9tn7Gnhn6XvEOq2Wf/MY4nalsXCuzz TdIc9ljH0NaxT3ucY6j5db3m2fYLbOu5nWdzlPdyvNsZy702dExtz8929td3 O9HAtWe+/QW2De2fFpp3tnPX23ckz7ngd6nPrDevZrJN7JMXTc2NE93OOWlP cswZoT62L/B4roW8a+acMj+n+mx5rs19Vjyn07w27ul076tRaF7OxxrDWsOa t8HcHec21qE34bewz1jas93OfbUM1R7ac7xm1iHW1JdtWYdYY2j5+3X457ud Ps+ykdfDNvaxbrFe8g0xwvvm/Jyb96CV19za/mLfkdZeJ3V5ned4zWNY40Z5 TupBCmkI9aRt6K3G+Idhn/O+auJvo+6h+lYWfpZ0P/9G266Q5t5IjiVp1zr4 d4drI+znoXpYA/1Vk/RrDXBXqN7ew5yEzr4385XEi77AmUl55jraee+0F/nc uKf23vvbsEtD71OecTvH8Bzb+/zv5P0InQvbLvbYnbDbQjXmSHyzStLZVIat kKS/h8IelKTrB8Lul6T9jWAbJ+nsibBNkv6uagl7v+9etaS/M3nOPIPqPoce ofPl2TaArZ/0rq8NWydJ01vDDgxpwPnw+4c05T6gRZJ+nQ17b0jjToLfNEmj 3wdGhd4JpdH2T6j+PQbbzXlZQRuqc6ckjefYQmBs6L12MtpuCmk++cKzYf1q jvZeIZ0+A36fUP2oB//4pBrZj5xPuqODgDZJ9/JqoFSSzneE/13o/XAZ7POh d8i1sAck1dNO8PeEaveVsH+G3gNXMW+huj8P9pZQHb8C9vfQu2I91x56q3XC fJeE3oLXwJZJ0qtx8FeF3gG10DYm9J77ArZz6I12PWylpL3zPF70mdwM2yyp nl4Of1PozXMdbPmk2j0b/pzQe+oV3mngG/gLYW83D+fD3hrSkAWwt5nDQ8jn JA17CLg0SR+HATNCHB9KPifpyFZgS+hdtZl7Cr3DXoAdHXp7fs/vh958P8P+ EHrDDYedGdKQAbAXJGkqvzPN36I2TPG9/AS2Z+gdeins6tC78NVQPpiLt2CX hN6Mi2HfDL1r54biGDMd9sokbZ0c2j/3PjV0RjyfD2HvCL3lj0PssUn/tyB/ 3zOHqStfhrQln3clicOvw78saZ2HJ+WSeSyXxANygHd6f99rns23Ph9yYYP5 UDEpr8wpteEw68PBSXwlV9uT16Ea2xb+4FCNJAe/Ng9/DXGFPOka0k1qZpeQ PnL9K2E/CL31yevlPqtlIc6Rbx8zJ6G/aZjn35zrq/DdZ0O16ytgbeh/Rczz T841dS7PWrcxdPf2vf9D2r3v73bYRebMj6G7ynvagfcyVJsj6T7zLlMjD7FO sj7sDtWI7aF7yztL/l5uDpOnf5ir1KdckkaxziTXmqLQfeZd7ph0T3hHRobu M+8ya1dbr3lvSC+oFcUhjaA+UON3hHT+X2/bvCg= "]], Polygon[CompressedData[" 1:eJwtlWnQ1mMUxp/6nxslFElERWlXKb1LRSVeIsmrLCPLVD5YYyyhtLyVpGHU 2NesM8ruiyVFi0RJOxWppJKsk5Amv8t1f/g95zr38n/u5ZxzHz90RPWNtUul Ug0ELONnJmwoSqXt8BS6KpVKLbCV8BpMg/vp+wY60Dccfx36YOwseBVW4o+B V9CXMqYP9kv8+dgbwnO/h8fQ3ek/AtsNVsAj8CN9O+Bj9IXwE3oLDGLsQ/hf oTfB4+hTaTsKWwZ74R+YQN/f8CL6KvoHYpfhP4+9En8A9gv8N7CPwk70t7AS /Q5ML7yGEmP3409E74XW+MPwv0bXwf4L+8L/pTEvoy9mTK/wnuujG0At9L30 P4s9H78Ttifsgb9kC6/5d/QfsBtdA39Kh7XGHMncRlDQNgX/CWxv/CbYcvhA 5xy+O93BKvRsWFj4DGsxtnbyXibB0/T1w2+te8h3ewV+/3zH72Lfg+/QH8GT 6L70N8NWQEJH8rf2QUPdZfJetcZnoD9+e2wPOAx9KEwufCYHoA9MnnsPDKXt 9fBdrIU30W/l+34QdqF/1hmhx8MMdDXzuyoO4Df4NdynM6xLX53kb++HhfTd DhvRW+Fq9IfhWFoK1ei5sFlnp5hmbr3kuVrzdfRdjt9P4/DXhedo7C6dEXoO zC/8jYfRy/P3tYdLks9UZ9lb+4L14bnz4LzkGFFsdIAz8cdhW8IJMDB5z9pr Zzgdfwy2OTTNa5uac01r7Il/F7YxNIJzku9Ed9EGzkqOge75P8rwuyWfdX38 tuiTknP7M9puC5/h1px/vegbjX8sHAMX6O6xp0AXqMS/A9sQDoeL8AfD+4XH lKMrkv9rGm0DdFd5bx1zLE7HflI4Jk9W7sAS/ENyrr0UPkvlXCv8lrCY/oO0 JuUGJPR9tJ2Nrsl7bwXn4k/MZ90O2ifvWXutG871dslaOd8RfWLyt+vBZegp 4VrSN1xbnlNMFa4xt+jeaFuDv6hwreycvHbVzGbo5soB/Kn4TdHHJa9VbUOk w7WrKlzLXsixp5p2vfJUMYa/vnCuLwjXVuW8zqJNcq3Smdyk3ILV6AXQgr5b w2tTfG5E3xzu05o3oEeEY1Nzrs1rqsp73KL/gl/QY1Vj0DthXOEc3Y7eobws 3LYN/UN4rNqUK/PCtV0584DOMryXFTAyx5BiR2/EYsWhvlG4RuutWgLbCr9Z a9Brw7VDMbMU/Xn4Wxqj2OmqGhSOoTtzjig39IboLdAbpLdHb8Lb4TdKb5Nq Ro/kN6csx/RpyTW4POdYn+QaWZFz4ozkN7Qy5+inOusc69rD0fQ3Tq7litHx 4RhVbKomT8gx+n9swqhwzinXVPPvDtcA5b5qcpfkmqZapj2ODdcQ1Q694ZNz jio3VTMnhXNOuaY3aTNsCr/dutNrcowrtpWz/wFAugs2 "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm0T1UY/Rnud0uZVUKEIkXz9EfzPK+W5lq18iJJKaHiIWWePUNF6pl5 KZLI+IgipEmaeCrNMg+pF6/2bu+3fu+Pvb5zzz3n3O/sb3/fOes2zHmiZYfy mUymT7lMpgLs2iSTmQUMA56MTOaCNJNZjfa3wCtAK+AjYB7wKvA98C7wGvAj sADIBw4A7wEzgJ+BhcAE4HdgMTAJ2AEsBaYAvwKLgInALqAQmArsA5YD04E9 wDJgGvAHsASYDBwEVgAFQA+gA/AE0BloAzwMdLFtCzxt+wjwjG074FnbR4G/ gZnA68Bmr9MJyAUeAx4Hutvye109rz3Q099/EnjOtiPQze85/w2v18u8zjW3 xfb7eSAT8q8PUD7kX1+gYuh7/YAIrdsfOCLk3wBgDDACyAMqhXwdCFQJ+TcY +AJ4ExgKHB3ibhAw2/Hn3DleZzRQC2NqAsPRrg17HDAS7ZeBUR6z1HFrb41Q F62BehhbF3jRGpngeJQ4Hr0T6SjfXDfF2CYh3Y312tzTQmukreM/xbwXWhfk ljqa5Lgus3YYp8XWC2NMTc1w7KqF4jQkkWYLHL8ix/4p+9TZMSvVU+ckq6cu SVZPTydZPfF5PbDSMS92zDvZ11zrolRPud5PV8+nH4wXY1Oqp57mt5vHdfB7 zj9k7dC3WY4vY0kt9bZv1FIf+0Yt9fW3qKV+XpNa6u9vMOZ5XofxesH7pZYG +dvkcLB9o94GeC810N6YSGtvJdIW9US9DbTPbyfS2Si/G+N4U19s5/mZOqDW 5ieqPa09h30vAV8CG4DxibQ21mu9kyjHcoBTQppsY56nmEvGdILjyXf5SbZe TEyyNWKy5/F5kvs4f6rjSUxzPInpSbYeFTiGBOtKR9uZbneyRqi3993u5fkz vMYnwCrH9dNEtZmcrjO/I4zZ5u0z4EPzO8zzhpu3OeZ1hf2gX6z3HUPrHnKc XzDf88w5eVpobsjfUnNAzhaYN/K0xFyRv0VlOFts3shZoTlbA3yQqBaRs+Xe N7lcZi7JwXvmgdysNFcF3gP9/8o6GO+9rvKac8zDCNt1bq/yt4eay7Xmib58 7P6vE515r5rX1R4zy/Hgd6jvjea29Jnttx0Dfp/1jPrMcaw+9XrfeDy/9UMi fZPnDd7LQ0DD0DiO2ZSoLvK82JKoTpGHV9yf42fWLmqKtXSTOWkWyoHNbhf5 W4zPb45Pkf1o7Zh/lyhnWJ+3Os6M/y+OLWP+k3XB2G4rE//tSVYjOx1zxnNv mTjvLxPbP8vE869EumQtK/ZeqJfd1sU/7me9o04PeSztYfcf9jM1zNpX4rHF ns/8+tf9rI/MO9Zr6usO8DPK9avE47hOuVA9LT2XK7j9rJ9ZV5NQbWU9ZY2r 5LOZtbWiz3L2HeVayTXKR/Z8T9w+MlSLOYZjK7lusi6H7wFpqF16BzjSbfal 9uGY0Pk93HpjXabmWK+r+OyvHKrLg9xX1e3S2LMusq+Kaz3X4tnAXOC8yvaN Z1Q13zPyPIb3hB4eRz6qh8YM8djqXrOm/eT4XO+He20U2gO/yffHegzvE3V9 Tox1e1yis6O27xvHu83xY/yO/eyrE9k16nlufdgGbjPO5Xx2ModODOXRCR7P ubT1Pf6k0Dv2Nw59m99lLWEOM383ej/cC2tCU6/5rZ9zzDnzlDk40j7n2Yem vhdt8HjO5T5O8nc3ey7jRZ4a24fzUds7hGoe3zfz+rdRayEfmfvNXB+e8f6Z N58nqoOsgW3Rd2Gq+rsW7TWhO/sE2JtDdYjvHwmNGcnYhta4nlylivsxsNVT 6eY02M6h2nwW2jeG6uvZaN8UqpcTYU8N3ZXPQf+DobP9PtgmqTgYQU25zh6F vjRVPlSDPTpVDtWBPTaVlvcBBxzjsdS7/TwX79uEavEU2KmhOlgZ/Vc7H7le Fa9ZHrZiqnyrC3tCKk3Xg73O2j4T7ZZonwyckeqZ7cPAv875O0P7597bo316 qrPoAcYrlc4qwF7pvP4LtjhUP45A/1XO/RpoX+N8PA7ta53L5LumOScHtc1D CXBFqOb8DXt5qKb9z585zAVamfMcxiJVPhwK+UEfLgF+DdVe+phJ5SfX+9Nr 8jv/+FvdYV8OnXH0PUnl/0vsC53nY0LjOGY0NR46Fy+F3R6qydxr1VT7Jd/H p+Kc/N0Q4rAF2l1DZz/5qJWKk8vQ3uMcv5g2dC6ch/ftQmcCY14pVdzJAfVH HsahfXuoplLj462fPrCPeu5vsD+Fzpu9sDtDZ0mk0g01swP4PXReNUilIern oDVKfZZLpRXqJB94LXT+D4VtHqobt8LmhfK0Bexw88b33TyG+THMOcIcfd55 2gv2otDdYSA1Hrq79ITtEboDMSeec17cDds4VY25JZT/zP3HQ7WGdWY62tNC /wnuCeUzc/kNtGeG/hnMgX0r9J9gLvUVulvMh50X+jfwAbkM/TNYDrss9A9g KWxh6M6xGHZR6B/DAtiFoTvNCu4vdBdZDfth6C4yC3Z26O6yK6Qnaol1ZZJ1 zrj94th9Qc5C/yQ+gf049E/iS+o0dI/5Bvbr0P+PTbCbQ3eaz6iL0L1nC2xR 6L/F97A/hO46P4f0R+39CLs19B+CuvjD2qB2dls/20L5xlz7CHZ96G60P6Rp 6rkA9vXQve0UcH9/6HyiNqlv6vPhUL1jTBnz5qni3gj2rtC52ylUo1mfT4a9 N3S2/QcF5HZJ "]], Polygon[CompressedData[" 1:eJw1lff3UHMYx2/yPFecZITqNPXNzp7xF9iy91EOx4myR47RVrZsitKOpJKG kkpTRdFASUtUKhQKeb3P+/rhde7rc8dnPJ/n+dwW7Tq17bhXURQ9YW9RFkVt 6BlFUWZRtIHV8Cft6bABXw+P47vhR3xj2rvAs/hzsARvD8vxs+BTfAf8gH8P I8J9Po+/AIvxflAwdi2I9Bya4I3hSfxA7l0Er8Ay2m/CwTw7CHrjdbm/CX5O z+UfWIKfCdPw32AOPgsG47/AXPx0mIpvhUvwW2C85go19H0t7UbQAC6D5hqT 6wqeN8WblZ7bU7TP07xhET4KTsNnp8eaArfhXWEBPhO64d3Trpjejl8KC/HP tEa8dTqWitF1eG/4Eh8D5+O94At8NPTBb4bl1fua6+W0vw7P+WV4qepvKdyH t+Kdhlxbwv1wFO0mXGvgO/gGhvPuzvDcb4UZ4TW0LN2Hvj0U7obDuXeIrtAR HoC5vDsLjuPZPbTnhNegWN2RfqaYLdNcYRj+e3jvlqZde3gX/iDMw2eH135n 2hWDexUvxpgfHuNV2q9V+aU1d1Huap7hNXTGH4ZxeDvYjG9J505XeAZ/Ov1M Od2Cvq+q1lq/yuW18Fc4p7fhW9Pf7oFz8LdgVXjMc/ET6KNVen9VG9+mY6sa OUN7C7/in4Rz83PYFs7RBfh8GBK+d0TpPaupcnSxcgGGhvtYWdWwavePcGxX pGtRMdberko/0x7r26/StaI+1uBnw8jwGvvj/WBleE0NGb8R1EvXaHuuL6Zz SzV6Cj5FNYlPhr7/50iVk9eka0y1pRy8Ho5UzadzcGa6hlQ7W2AkfiJMwNcq Rvip8DG+CT7ET4ZJOptgUnoOGvsnaEDfh0Gf8Jz17gTYGP5Gudqh2hvl7EP4 1enaUk7V49sDYL/0mbNDuQnd8Fpc99UzqIM/wb398bqlXd+8oVyC5tp37m3X XqdzRX2Mxk+Cifh6OKb0maezTt9M1VrhnXBMr0znpHJRNTcRPoKB4TWpVq5I n0WqmbbpM0brUw7WV62WPjsVkx5cO6nP9Bk0RPmqPvHVELybpf8NvWgfW61J a7lJOay+03s1CI7HB6lOtDcwWHOH/uF7j+EXp89+nbkD8QvVZ7gmdVbPS5/N OrN3KlfTse4eroVFsD1cE5rrcFgTnvP7+HvwNr4unDuj0q4c2oP/Cz3C/5w6 rG2f0mvTHu5SbVdj1eY6AoappsNjHM27N9JuBk3hAhgAY8Nr0Fn8qGo4fCbv xv9O96UxH0nHSLHRO8rl6bA5nNMz0jFVLHVPtXFDNVbjKlfGwoZwzqg29Q/T v0s1ujB9pugsUYw093fTtaM1aC+GpvdWe6LcmpauJeWYcmlyunaUU2Pw8ena GhCO7QfpXFWMx6Xf0TPNSbn0evpfqZz6D9DzO0Q= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{34, 1, 5, 9, 246, 237, 238, 236, 240, 239, 127, 242, 243, 241, 245, 244, 128, 248, 249, 247, 251, 250, 129, 205, 303, 179, 235, 146, 233, 145, 234, 178, 232, 144, 230, 143, 231, 177, 196, 142, 176, 141, 310, 309, 126, 228, 229, 225, 227, 226, 125, 222, 223, 219, 221, 220, 124, 217, 218, 214, 216, 215, 224, 80, 34}], Line[CompressedData[" 1:eJwt0tk2VgEYgOH9S8ZQIpTpr6REK7GWIW6iS3AB3EOZc6aUKYQm4sQs8zKE ZQh3IzwWB+96vu/bZ3vvcE3dm9pQEATN+qBNTSrC8SND7OANTjOBnbzFLiZy lnfZy2R+YQrn+YB9vM9+ZvIPsznALH5lDhf4mMN8xG/M4xIL+IPP+JPPucwi /mIhR/iCJzzSsdr02q1aVWqxv9eYxvVbK6oMXb2DNa1qVBVuTdxVqTlfT/VE 390WVW5u5D8d6kAP3cJqMLdqULn2Ie5oWyX2dGUoVWm6p1ea8/wOe5jEbt7m DOP5mbH8xDgW66W27H81pTJ7PaMZo0hF6abeuZ8Hlx83CE5xpv96q3VtaEL7 atfe9b9xAQinPlw= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{319, 318, 322, 757, 748, 749, 747, 751, 750, 676, 753, 754, 752, 756, 755, 677, 759, 760, 758, 762, 761, 678, 735, 869, 722, 746, 700, 744, 699, 745, 675, 321, 320, 319}], Line[CompressedData[" 1:eJwl01lXzHEcx/H/TMialBbtk122bFkSolL2sRORjjW59gg8Ao/AhV2UtXOI yk5kX8oh271b62uOi9d5f3+fuZyZSO2haEMoCIIuahxRCsNB0MyiuCAopYSF LKDJXqzzmcM85nLBXqSzmcEsZnLePk2nM4VCptJon6STmcBECjhnH6fjGc1Y xnDWPlJHkUc+Ec7YczSXTLLJ4rR9hGaQSjppnLIP1xSGkUwSJ+1DNZHBJDCE E/Z47U8f+tGX4/ZAQ/x0/+E3f/lFnD3MbvYwkOv2AXpDB+lzXaKtulhvapm+ 0L1awVLKqaKSfXz0+SfaWOZ9S69xkeXeK/js/sJXLnHA9lLbWelezSr202u7 TL27Q3v4wBUO2l7pbaLutazhjncLV1nnvZ5v7u+8ocH7tW7Uu7pB7+kmfatb 9L5u1ge6Vd/pNn2o1fpIt+t73aGPtUY7dad26y59orX6VOu0S0tIjn3XpJBK Gumx3wUZZJJFduw3RC55RMgniTA//Cd6eUYbTRzjKEc4TH3o///nH0jaWkU= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0UcyBEAAhtFmjJxzDkei5MxaYeR4AoV74AaOIN9AzjlnnrJ49XX9u+6u 6R2o648LIcQYjIQwwA61CSG0RkOY1z42WWCNDdZZYottVllkhWXq2WOfXQ45 oIFjTjjijFMaueCSc665oolb7rjhgXuaeeKZR155oYV3Pnjji8+/u/BDcKdv jdc42pwTNEqEJBJpt6doKsmkk0aHPVOzyCCHbDrteZpPLoUU0GUv1hKKKKOU bnuFVlJONVX02Oe8/ywzTDPFJBOMM8YoIwwzRCzy/3+/nhg78A== "]], Line[CompressedData[" 1:eJwl09lTSGEYwOHPyJ1/ImTfsmQPESmiQky2iUKmsmdN9vWCQhSKJKYhhKwl qdBV9qXwp3gaF8/83vebM+dcnHMiM/NT83qFEFro6B1CCaWUU0EVNdRSRz0N vKCR2IgQXutfzpif8ZRlfUKo1nS9pcv1jp5mpXmTNlDFGvtNvc0pVthz9AnX WW2/oTWcJMO+UR+zxLyUNE7YU/S4pmqlLtJjmqxHdaFW6AI9okl6WOfrNU3U Q5qgB3WeXtW5WqTxekDn6BWdrYUap/t1lpbrTN2n03WvztAyjdU9OlV36zS9 rFN0l07SAp2sl/QhO2llB51c4AH3yWa8a2MYx0QmsN55O+9o4wPv2cAjnlPP Jy7ykVLquEcm3/jKF7ZSzCr3Pqd3yaWFt7zkM2k084bGnm+Dpp73wU9+8Z08 fpBPF2f5zWa62cIfSujnmds0Urdrfz2vi/WVZjHGPJZRRDOadc6H6wiGMIyh rHU+SAczgIFEMZK+Ef//g3+ED2bk "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl08VTV1EYBuCLyg9M7I5hi93dhQtQ+QsUFZQFjlsLUVe2jjl2B4qBiS12 d2F3d/dzx8Uz77nvnDlzZ75z4lOHpmRGBUFQSN1IEPSPDoI8EqyXksQSkllG P5rG2CdHMJx6TGYKk5jGVOqzgInMYDp9yGIQzZyTJvuykEUsph1jyGYwrexL l2MZQnPfGXI842jPY57wiGc8pQMveMlzXvOKjrzlHW/4wHs68YnPfOQrX+jM d37wjV/8pAt/+MtvovxXQFfrorIYRYgQTTd9rCxODCUpQXd9aVmGUpQljh76 8rIC5ahERXrqq8iqVKY61UjU15S1qEEdatMrnIuZZjGMHNrqHvCQu9znHm24 zR1ucotCWnOdG1zhGlfD2XCJy5znIhdoyVnOcYoznKYFJzjJUY5zLJwphznC QQo4FN4R9nOAPexjb3gHyWc3O9jFTpqwje1sYSt5NGYTm9nARnJpRA7rWcM6 1tKQVaxmOStZQQNGMZqBTGAecxnJLGYzkwHMoTcJ5pAq50f+v7N/Rl16EQ== "]], Line[{1458, 1427, 1431, 1432, 1433, 1434, 1567, 1631, 1833, 1630, 1831, 1629, 1832, 1654, 1830, 1627, 1828, 1626, 1829, 1653, 1827, 1624, 1825, 1623, 1826, 1650, 1683, 1621, 1824, 1620, 1690, 1647, 1669, 1619, 1644, 1618, 1840, 1839, 1610, 1838, 1643, 1655, 1646, 1846, 1645, 1670, 1611, 1841, 1622, 1656, 1649, 1847, 1648, 1671, 1612, 1842, 1625, 1657, 1837, 1652, 1835, 1651, 1836, 1672, 1673, 1628, 1458}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c0l+//x62sjLRkpKTxKVIpZcTTDMmIJGVEZqGdsomQlRWyErL3Htlb yF7Z3t72HqXi9/59rz/u+1znOvc593Ve4/F4cRs8VjOiICMjoyA9/v99MDiy hEx1FqYnnpzW9t1ATA11a0PyLAqXNQ8ptK+j5cOGofPuOfTW3BLMOLSOuD2r tw0ezeH7XqtDMFvDlftjPtTlc3jy0ODa3u5V9CvyBH/bP49bq2zUVxVW4UR3 WMDJbB7ECvLkY5UruNm4Fne9dB7Lp3dcxSRWMPz7Rd7efQsQtUmO2Fu1DPOs +og2kwUsRgbnXrq+jF+xN5z6IxZw1qXO8vTOEsLYHbb7OhZw06d8LDJ3CSw1 rJnNdIuwu/JdyMFiCY1icWzZWIQR4d/v3JNL8D78PMLt5SJymauG9CoXQXgn mvnwwyIy+kNGy+0WkWLy0kU+eRHH/3ifyhNehIDV0+KjtYvYJ3bknejGAvb2 HdxaGSF9F3CcQil7Aaf0d5/8ObMIupMBYhmfFnD0KsGyem0RH49Vjp9wXsDv UzmtyduLsKwPr0o1W8DLdoMpjZ1FsIpG0NObLoDsf2sJxv9bC0iJKqHXIO1F jXJmKw0XEE+9tD+JtOdzKnU98mABNVuRByJ3LSFIUa658PoCTMMfh/vRL+HM VDTRSGAB40a9X12Yl7AUZRjHw74AheV6hwtHl2Cz+Xm9q34edzlKfOTOLsFe I/a8tcc8VDY1s7VEllA8EOzmd30eHJeYik3klvDrlUvfIYZ5GKjoPHt6awm/ Dx/jYmyZg67CJ04ryyUUVs01nlefgx7tJJmZ+xKoE6P/EfpmcZBBRlv2yxIi n956wmowi8D1QS36kiV8ZQ+iyZydgafZKEte1xJq3t9uino1g4vz5pMnaZax Nr/iKBc8DYtFH4pjQsvoGX3gfblkCmzzfNMfTZdxY7OTgYJAREl3WefzkGXs WRYnU2QhIiB0LTKubhks/pyq3yQm8b3mTTzrxjJWXZP3Mz8nQJm1MlJBcAXX Dpd7yWpNgNyiek/4sxWwisuqkcmMQ/Ovd21t6gqKqMUrfgiM4Q3LzNabyRVk Tr12Mj0xio5XoYU6nKuwWkwOC+UYQVqt0zUWlVW08zLJpp0ZAp1XQcgZ+1UY PanLMD/xEx8iD5T15qwi9lxICSGoD51vntAXjK+CTXtWaHx/D8jUH1VG0q2B Yc+623RsJ/z6NouVTqyhppP97B2FdnjfyPj3WnANhxKf8OlR/wC5YqJVt9Aa pndJXy+uaELoGhcu8a/hVkbSCYmSOogWLEUYsK+h1OqCandKNaYDhs6c+rsK k/lNf4feCtwr9vg03b+K6nT6ihv3yhB59LSiftYq/graqSrqFyPukPdysfMq 5IwkyOar8yEVxdN8/cYqDhpwNsq8y8Eh/sRBR+ZVvOBkuPE6JhNd0kaaC99X kC21YVlwIQ2m44xjwq4rWBMdOGBRmYjmi3hxSHgFMm3U/cJzcbDP2PdDZnoZ VqkFhyo/f8FGXvVnq4/LsDgUsHc5Ogrib8VW7ksuw9k7K6to4BPUjYRMY2aW 0HvN2+C/9o9obSaXbvNfQsvE5frQhwFgSPche0TK1136u4wovD9AZores7Rq Ecr8xB4ReS/s22zTZd23CPOvb+t6RNzhzGb31JZUN8LHyFQOt7uA71Wo1ZjT PEQFhez2nXNCyt1hhdKYObzXuXCZyt0WexsHHLIbZjGaQZXT32kFOlqu60Jr M1hPTRTYpnmBbclXVFE8M7Dh+DlXs/wE3e46h7juTON07GhyZJ85dr+sV+n2 mwJtXD+7d74pHqX/6u/5QUTaN9ZqKRUjSBu7V/r+m0TCGVwyOm2AM+dEnf+c n8Q12XiXCAE9eBtQP6B+REB2/XyH385dnKI08wxIngB99ydKfQ9NXGlrM3Bc GYf9Uu7G26Rb0JTb1PqKccjZt67HyaqBLbEcP/3HULS7nKZIWhXjXuISm7Oj kLb1rWY5oQSPM7KMgdyj2I6Ov3XukwK41nVl1vRGsC4z4ngr9xpiXUfrHJSG Qbnt8YvjlgwuN/A9kJgdhAhTksRZbSko3jwV5xjyE8ctaikFCiXg/ZXKIOzW AGK7QrIy88TRbhfzZomrn9Q3t8asza9C3Cj5OGGjF3rZ525cchTBN+u8Y0ee 9uBQp5R6nroQojhWlqkpuxHDyL61P+oylg5zRAkkd4KYWOBYeF0QripDMjdM O+CeXXeLW/YSVv/u0mcRbsddcplqYaeLEJTnoFXjbEOubGiI+LoAWtsC6Jf2 /MCVZ77cc6ECCJssjhR52ozfrrP8Bw0E4Juw56nIViPOOT2Tu/lCAJLm9pks BfVosdUT420SwNHYmT7Nr7UQ3s46YmV4EULvW0rIK6pxdK6JWCJxCTqehUx3 qapgldL6Z9xAEAGTW/LpeysQz9MiynrhCp4uPqqhSigF4a1214aDMFIjWSpF 3xVDnvOTmcKDq4iku96WkFeAYnUBo401QI5o+Y9wPg8X4wlECl4pJG/RyJvN Z0PR2ijmX48Myo0/XuQwz4RYnCofNY0CNuh06c+/TsPpOoPtcX1lWH7wplL6 moRshbHnTyLV0DDSXJSpGo+QwcybgxSauNg6R1FnEotnsWXWn+K0oRQ/7bM8 GI2srcfHvi3rg5Ae9TJWOQpRRHk730/G4GL2juERDEP23fQHmnst8FGxmpWQ HIyz2sTN0bpncK+N09z9ORCqNu8O9t97Dc+Em0y3yP1RSEWcC890wPyXo3pO b33R/iRypjPZBd7tB2uDkjxx4ML5HH4qT4QsBwzJPnCHpj0vtUeqH6r35NB5 NbhCYz9fiEXBRxQ8PP7FxP8toDmm3HAxAgSGk4eXdzvjrRZF60BvNJosWt+o FToimeblypPvcdhMrThd7uYAy/zy/ZeLEtHhzFeY3W8Hi+Acb2aNNHhtF1PH mNjiO19RwvWBTByzTCndy2uD53voeq7+y0Hkfo6lIW5rHOqwmKCKKsDBb158 AgpvQDeqnJbeWoLC+dRwu8jXsJTqq2ZoLYdqHIvwsyOvUdHyYHOPVxVEgwJ5 /zRYoUIui74zthb5kQs6wuFWcBow10o+3Ig9x1/qUgdYwa627nAGezOcpVe+ PvtshQMMWioTp3/A6TCDUXeVFfY6P9rIG29DjpQFd9hfKxSxtS3cKuxA4W33 j6LXX8NZXG/CIaELNUNXA6VTXkPf5DbHpbQetEreXVc59gZCre3GmbV9qCb8 /siU8gabPn7cH+YH8FnISlVcwRo0VPmDo4eHcOKO2WTab2t8Du/cx396BMrl TRsS32zwxe6TWI3UKLpczQcJAbb49bKniVxrDFv6Yx+i7OwgqO+6rmw2Dro4 nlrWUHvcnBKOUvGdQP28DXvEdwekXJZa4k4gQMSJapHH3BH8xKAWouMkROZD dNm3HMGmmX7BUZmIa0fYGG9+cMLGsc0skT1T2GtpZzLH74wtOW+3+JopWP/H yXCw2xkUq0tN/pbT8D3uW/bX9S14RC+obdPPQHmQ0qhT3AUpzY5y7GEzYKd2 /dVF5or/tIPvih2ZBdFG5nMTzzsofC2g66ydRabYx6sP7rqBtX+xfO7OHD6k Pr3wPM4dKdRHOm73zMF5KTtwctd71P2a8/wtPY+/45aPv9mS8tX4yETx53m4 5FGzMu72hmJg6/qzxXlsnyyIIMvyAc3RbLXuCwtYS6lJNRf+APOT2axvSH7n 6jtTa3XKD58MO1NqgxeQ9lzMSf+eP7zEtogCNQt4KL2RUhYXAPlXlKtZUwvo as1rYqQNAnWL29Ys5SIcGylFJ95+xK3xVgWxQ4uYGu+M+c0eAslnbrQNJxfB xu31/nhrKH42kjfanid5qv3ytvaXMBh7Sr1mu7yIgW8bD0s/RiBXZfdDEaFF lPAu6/EwfUa3scDlIdL5E8fnHbfNo2ETnMHXd2ERXKc3u69MfYHF9yiV2NOL uGmw9VLAJRb5Yu5iH7kW8W649fG41Fece7f4b3rPIsLty2U4TiWA/UGQVjXZ IrqULe+NXkwCkdHuz5UFkg8LGsw6mKfA0EhTXr5vASZvKTwtO9OgzHUqZa6C 5M96e43y8jNQ3qnlyZKwgIsNrsulR7OweepGa6jnAmbzH3a+jM/GWMXZZj3z BXwOGv14XDkXdwbe/xQk+S775TEHEdZ81OVcTJ08voBrx9dXZeULwfnYyiNp Yx69KKFySCnGvvQRtcIqUjwd7JU55Evh0LB/5YvnPKS2rHfV+ZbDOpP+17TS PBaMmEUrOSpB3/moioJ+HmZCj7ofN1ZBi3nohVrZHDJWjsVX+taAi/FrXfnj OUQ4hnG8sq5Dqo/WD/tDcxA+Kq087dUAnd2Xp1oKZuFGxlj3oqEJUu1aLSMq s3inXx59T6AFnInv//vxcwYdn29tDRj+wNrJVrIY3RmEacWaN7u0oa9WRm5+ YRoqmTy2fLnt0KMvK3d5NY3bJ+75Sm904Nv+2kNla1Ng9GA2vizfhQ+PjIYm Tafw6opz/UZSN1SfthSKthORVUsdfpmrF15KYFs9R4TmAWv6EO0+tKsbraR/ nsTwwdp/4nH90I7PtnxDOwlXrYQ7xpsDGGQU/9phTIBwOivbLrVBqN+gPSld PIH0rXcCFdlDMBfL7VPZNQEKuhyWJ4wj2OlcOuxB8uccRqZ3nypHcEb7pbbn 6zF4dvQ037k1ikZJn16j76M4vSO09ZAwCq8LqmZ5h0bx271JqvPFGBb/bCg+ 1xmBhcQxMkvycWj5n6VSFxyG4KdTU2Me40hI8TlFEz2IHce3d5IYJqArftQ7 ZnsAHMzanFTuExivLE84pdKP85/rldd/T+C8vw03bWAvdDJT+joUCUiN+Uou fq4HBg0qr2SCCLhT+u5kbk0XiLTV1hRdBJSunSneutMJPoEMkzzySey58vef wn8duF7NsPnnxCSOBWqrTm62YdSPUY1GchJlcUd2CzT8wJeygWpmtUmcGrac MRZtxb7PJ6w17kwiTtee8ejCd/QPc96bvzWJSt2WBK29TWhU32VvqjCJNSny xneSDdDYq/7cXnASlmQ85Ql2dchwcnX6dWgS+YNmzbn1NTjSXfknZ5WAYFpO G8/j1ah3rlJNqiHg7T1TthH/SrSscr+f9iHg3Rkjk0sHKjBYcHYrSoWAimyt di+tMph0n/rJSkvAU7TQM+aWwDWbuyS/YAIC6jrtR8SLYMBkG0RmQJqD5EbH FNbzETr2Nu891QRy/ju4oNefC8IeNWaTj+NQLHkvxFSSjajICYde7nHYKiqd KGzPxJhTYrb5tzFcS2m672mYgd6tzG9TGqR4rmy4UfGnIZrlrPcoyTe5Lin8 0P6RDB5muQ2iwyhUFSiHqVMSEaZz9/a7vaN49HdwurUkHqqnUxrFY0dgNnp7 ynWbxHPnkHEPwRFY6q7PMFrEwrEnRsObfRhOb6lkbTW/oD7InTf1+yD8lye1 wwM+I1Lwe1/C25+g+tR/Nok3EqfmXOcUJAfQPWEfuxIfBqiG72xS92NhajDn 7XtS37xNGVXd1QvGaOHER9XB8Lva5mVF4ugVj1nCPoWPeFUu6vbJrxuv9/C7 /WIMgu7MLJ2LQxdUylqK7tMH4lD4tZb7rztBTbzBz3klAHu2aLAs0QEJGckW hUf++GTuXqTK3g7pltrHVL1+YH6TeJWfqg1PNLp2Xr8i+U6z9nP+v60YvlnR 9UHSD2d5W7opmVvQm1LGESPoB1iveCThOwxv79ETUvWDeT7H3iGvRnhzJFEO +vqh28H36aWseqQ+fMDzndYf4lJNeS1btQiPl5W8luMPfjH5lRDDGgRlm+3n DAzAm3zmAe/5KpwDv6hpciC47wtwlwRU4peXzu3320F4XRMxrKBRgVxvrkG+ gGDYybBnvjpfjsp4VuZbT0LhnHbRR1iuFNnZX0NeRIbhisjF8+8Di2Fs4rfR fy8KR86sk3EIFqImaUyc6080FijVG1258xHzIOOa7vdY+H9aV7mgnovRO7GF 6aIJGGuYUJKpzgb1iEbZmkkK/pAt8AQ/zgJbbPz9yKIMBDq1dMSqZsLQjI3T uDYbRuXzdTYPMnBoVuOJpmU+Es0n3XQU0kE5q2iv2FSMPVRuRV7H0rDvS3L9 E5tymA8Y1hkrpeJuw4sP0y5VCOnXvxfZkwLZX0N5z0xqcbZ/R9o/MAUPKs7K scc14HfmNWE95xQ4c7dGXJFoxl52X02DqBQs708+fzT8B7hsvaUFZ1IgUGo9 96G6HedqRF8k66dC+zzfgQcHurB1OeDTD6o0LEeH2z917wGP5FIFsT0Nhl1L Z4IO9IN3qbHnbFA6brz0XlI5TZqb8g179whnIFWfY6xNcgjDOzp3enIy8HC9 iyeRbwS/nd9wzoplwi/UWpdMcBTO5jQNmp2ZSP52n5n7yhjU2M7MXHydhebJ JqEX50l1ekNt4PPpbJyU8uvI4JpAH6tgUuNUNvYX8BPmdibw4nfcEjE3B2fd Guzi2wnIeqqcIOyXizrd7NimoElocnH9orfJQ1aky2qKPBFPl9T+ZjzPhwTP 6pGdGSImGiI83tsUoKlddq3Bdgq8mkmzO/6FqLwSI3Jvewpf66+82XekGOJM Kj+u+U9D2T3AJKy+BIoFSfd5GGbgbKrL3fmhFKqREbo/LWbw1tjJzuNqOYIW aXNtCmfA0kwtZyBZAeotbTXa5Rnkz3Cb52pWgoXBx83y4CzK/LTeKTlWIYrc qe0J7yzq1945/SuuBovVc4WoC7MQqJW9sfqoFlSRJ9MPnZwFq9Ks6SXxekgK h43MUM9CksaJGHSpEVqaZH8Hu2ag4RPyeUr1O6xtb0aJB87AXnplai6wBRQf yDtmpWYwnMX+htuJFHfdgXrDsWnsOu9py9vchmLl/Cddz6ZxRr153/FzHWB0 ZfXmJvHYrYmhNzanEy8u+RY33p/C8r7BrzRq3VilenoDJUScmRs3IFL3onTX gEniLiKcarsuybb3YUqgZ5Lm6iTuyhesaWYNIGAjj11YlwDah0+SlGNJ/P2b XEH7aAKetrH0lLHD6JMuzpbWH8e3h4wS37tGQHmdc6UTY7g1qCzt3DeK5L9y d5Z3jSJFJOheWc8Y8t/5WGQZD2PnSZFEesQ4tv4SvcU4B7HgpFzme3sCRzze 7lDl9COEgzFRZWgCTyRzkuPSe6HKvlggd5uAte++Jx0iulGQcYnNuYiAnNT3 t2edOpHs3eMdt0XA69qwnbbadlAv/Tek8d8k2MRaaI8xtuGBJu3sERIvaWRj 3BuyWuBFy+WSLTWJj+9OsJrqN2FrbpaChXcSzPd7yJkv1KO0avOeIeUkBI1Y 2gPTaiBVsP12u57Er9JkTT7VKlyePvlgwIaA1U6uKEqOCkjzDvx7wUmA+cML 5sYnS6HRpy7UkEzygUtM4hOvijA36JShzjuB9TRj7Y7T+XC1fWn1J3wcsfzk Tg/Ec5Bu4Gu7wTUOmZbIuNXDWXARmiLX/jSG6MLiz1ukuvxG96Dg3Z4xyMmH EsY5U7Gqp9HW5DwK9kb6yIizSehLcNZ+sjKCzdLQ857h8eAy8LsdfX8EB8JO MlPfj8P0fMrXn+HD4ODzYsm2jEEqD1HO+80QhNqDjlWVRSPzKQ3f8p1BhKTe lOdU/IzQzpd+hld/QqP76svBvZH4RN8uSXNiADs6L3ReToUh/IpC7uvoPgRW PGr5qhGKE9IDz8T4enGxy+xijUww+lLm+OJru8G1qv5LPioIyT1D/E5Pu8Bx YmpdTD0Qbh0+SWfPduKHp4e7jVoAyP9k3Cv93Y6pf7KCa37+8P9rHUvb04aA I5S63HT+iJz7Hp1b/QMPcrNC3mf6QT/S4q+tRivkHaiN7Vz8QHzO9lv8WjMq h+U9lNz98OBn1q9Dd5tQGsEkKV7kB9csFTUd3wYkm+YSNw/5w8dSd01jog62 +jtX78b6Y2KQd0RJsxYzX/KndHRI//N7fjt4shpV7vVcFNcCYfeYcyPgQxW+ 7Fs/KqMfhFVj3W6v1QqwOVvaK/IGgzMzgHPEvhzNJ5iUNO6HYurKcYc63VK0 0iWLv2cOR/pUjYMmVQm0tQrokxWj4D8Yzr1/uhDVZILDBUHR4DiQL8dOW4DH 10y8yQgxmBR3P/hHOw9yO9X7SM6IBze3GfPGc+Bdq+lgPJEIp+7wp+X3szH4 i8nD/m0anIoLRpXYsiAQome8wJyFFDvP/EraTFiHBZGRvchFeZhaLxdvBi4k KB8PcSuEYVL1et/vNKTxpVaOGpXCPUjxodFGKmxVRAVpDlRip/V0btW1VEQe sxVyf1WD64Nk90vXUxBTIWq49bgeDPf7tZTbU6BIlaG/860JfDUqWOxPQX2C S+kp/VbUNvzxVmVKRdiHuNdxyW2ILCXnV3+UCq9Qi2qP5g6cLLmURrOcCmOm 0fifLN24EJd6NzUyDao9ATH2z3rB1hmSn/k8HRsXndeKiP2YY6TL8TxC4nBy /H7i6k+wKARcEvPPwCsno3tuFMPIyQn8QmTJhMWVT792u42AuEsoyDcyE1P/ 6T3ycx/FYMzwtLRQFowuJ8mKvh1DOItS3uHhLAjpX9JMfjEOz5XNcxIB2ajw 0IlpuzsBvfUEn95bOTCwcGXYukiAe8dZ4uHjuYgPpfTt2CZgkd+I7CZ5HqKY hmSeFk3C5FrisZK5PAS/WduRNSYiJ/f6WNZkPlIYexM4KKbgre5C8FsswB03 uSIanyl8iWP9WkpThJ87bWd06aeRIaaaHO1ejPtSK/TxgdMk/p0+XXT8G1xH pK8p08wg3X25hWuwFDKqmq/IDGcg0n7A3k6rHI/4Au2dU2awd+l5dq16BRj/ POQMHptB+2MJhX26lajKnZ6ZpZmFs3y/y743VYi/ENDNwDULqoHur/Zx1SA8 KCzRJvHJsLSpY0SxFvlXN5IVSefcjxidVffVY0fic0kpxSyk4sKr3v9rwJ6F u/wOJF5Flp2qUWD4jl43FtmR4Bnk/XevTFiyBaqHObubrs/A+KOt3bryD/Qx vSRvJc2PTLzde0f82qBpzctw0mUadMq+FHPT7XDcLlusJd3fKLjvCo9FJ87U vtQ7bD2FF3d3v3Kl7cbB5sdbHL1EEA+7TVUW9+CdrhrdBg8RZnpmuzdc+/C2 7DpLhvYkJv4tZD43GsAL02u5Z5wIUBfNE/DRHISboq79+Q8TcP3DFCh/Zxjc djb0Hu7jEEs3Zf2TMYKtnOMiB8zG0HvlS5J+3ije/dfo/vv8KPpdX7/cmz+G 7sn+kOKyYeSaHCuOcBqHQcpOK93TQdQZN7c/xwSeUsiQiVIOwOBvVPTZpgnI HPEu27/Vi3iGSjlhOQJG5KaoRca6MbvQYuGSTuLHvS9Mu8o78eYJW/OLFQK0 XXNWtsk7YH/tatIunkncF2h17ZJpw3X5+ekccRKf9M6wnWFvBfeXYqkj0pNw drWurSlrwqf1ORZ+/klk0Q8phrrWo0bM9J4CaW7WYvo2TrZZAzOfxmMirQQw 29yzLPCqgind1LcFZwK+Be3TEblBypPo04O9PAT07eeqa35eis96MqVrWRNY 8l2X1c8sQup0cWHVhQlMnBMZ6FTPx/yceabwl3FcctXhcLybA7pm6RLT4+M4 3206ZnM5C2ZuugoLUWMoO341WkwlAx+tXC+dPDgGichYv3eSqbj28LieCakO GaU0BXYpJUHRM2r41+YI8l48brmbHw/uli4infEIkry5D/a8ioNSlXrgnfhh iFAw8ex1jsEHx3WqmLdDMLQe+sD/Ixpd6+SVAQaDqMz5L5lS6zNmKV7FvZf9 ida07DTjM5HQ+CARlXR2APvsrnbf/xuGtoaiOw+T+3DAMev6B9NQ7B/fGlS7 0ot7jpx9SreD0ZHNypfX3o3U3oLLl9KDQK6kdkDfvgtHFxO9DfUDSfNQPluB SCfEhTOOV+oGoM7CJ6eVpgPC03kZMuH+eNZodtWR0IZV9VcrRiz+iFnsbn7Z 8QOaD5m1k/L98LKoO4/3WSs0XexN95P4ZDdFkbvboBlfakx99T38YONUar75 ognpL3/fry7wA6WqRIRMYgO87ilMdu73h6fcJo3EvzrovCw2M4jwx+svuhRX HtfCleWq/S31APwe39Sx/1eNsf4g3hChQOSphd6w+lqF3OcmWwdVg2C1W0hR g7ESmmlKgxWMwbgVvbXqGVaObpshG3OBUFgwriQcCy9FBKfk+O3vYSg42+DB K1OC4PPxdznnI7Exd3KO5kwRdjIYWKk1oqFlr2m6I1+A72eIC3I+MUh81BhY F56Hu0/LFhUvfMXfbdlUe+5c0Lp8+easkgjD8wlHAkn9FXGWtXRdqUhIEvFy k8rCkfir6qpJmYhx+3Mq4HQmpAZ5eEy2c6BukWXhL5OBY2Psav5khejncmjW OJqOgMcTnfqN32DLIGnaz5KGzeNKTMYlFfg/mKv17g== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c01u//xwmZpY0SGlIiZSYf97NB085ISCIjZc9SipDRsMrIJiMrIyvZ e++ded+2G9nCz/d3/fM+r3Ouc673+32u83w+HscemSo93kFBQbFMSUHxv2ej l1f0+ItF3FFY59X8uISYR3YZWl6LgL3a110qS/gipGCvW70IM79rk5SvF2HT cW/+BMUSInyKWaQbFmDLFLGnUmQJvLQb2k+5F7B4waP+lvESbt40+ND25i/O yKtnRoYvYSvw3h/y8Dz6Rqnaa9qWsDFRXCh+Zx71ZZGF+QzLaGq3myJkzaGN hAHHs8s4RVRt89Saw3x5RxiPzDKuXoHRU5o5GNnND6c9XQal5He2muRZCEhL 2XO+X0b6ymySr/osjgg9O2CctIwUPkrudJpZmD9xK3POX4Yw1bHUF9lkVBVN yPvWLWO8qkxZQJ+MngfpjwL7lsFntc768gAZBjf9E/2nl1FHz7VLp2QGtZRX Vp3+LuOHjH2pfswMXEWEe01Wl1FPfmHz2m0GvBo7FNW3lnG6lnE+yWgGPQx7 4xO35/nS0JMMhjOg+P+1Av3/XzNg2kxWvrs9G734VF6sNwPHAsm4b9uzvOaY CKfuDMwse8592rkCTkOi1kPpGbBkLv5nx7SCzn/E8QyeGbz/RlH/YN8KEnre JbAzzOCwufI6zakVTHZQOvbGTsPV502FncgKbPSr6RbvT8MyzkhnQGoFVHI8 rB67p5EySm32n/IK7jGIhQcUTyHilXuAl+4K1PkDko7aToFsEFJM67SCMqtn /xwHJ+HvcXxILnwFTydvXAiWncTFZbHOB79XsL9if9f9vAm0OsrrCfeuYKlW pvQ77wT+Wjccq13d/p4SSmqH4HHspxGpEBNcRfj7xYwZjzHckFfV8zNaxcX+ swqyjqOYCGB1KQ1bxafJUrVLdiTEp1WKxLWuwiHvepu+NRFvp+Nr2OnWYLJ0 sM3bZgRXbaUS/4mv4V13L8+7F8M4GrV4gvRyDWKt3cwJ7ENoE75HVZm/BmZ6 g4CF0gHYEQrc966uQef7h6jasT9oCqR9ckxgHW7n19qtVHvxy/lSr5T2Osbf nvbuaOlC3cmEW1nv1nGwxmfG9FEHONNLNiMT1tH74bzyVeo2OPfy2J0oXYfm 9YGanrxmhFvI991sXkcTnaV/xWgj3qnqjuh1reMQ+yBdu2w9YjaNb5E71yHH LRfetFQNcbx8bNS4jovBJQRSfQVqC0i1jwvW0bPv0QOt7lJwSLxh845ZB6W6 vTnH0WIc4Pl8JM9pHZwu0ea/hQvQ6fRIdrfOOky8pgKdA/JQZKh6dER8HZ7W X7tEb2bja9y0n+6udTx9tXi05Vomrl0feVTRs4a6d0Fywh5pyLFefqEZswZN ypGzR9lSIRH6/qPjkzXEPubmDe/+jp1LBp8Dz67h0a24ZhOaOFB/ZWw6Mr4K FSa9A4Lx0VATkQl6EbWKsK2/bqF5EZDvOWx+TmMVh/SK/lDrhcIzb7iri24V spnXPzMEBkJPMeyUdsYK1vbebArx9Acv9fDi1QcrCGLq0So55oP/ikL3/du+ 7zedBpJ93D6gxDK/aT55GVt5ntV7ctwRW+oj+0Z1GQZ1JKbhNBf4n6kSW9hY gmsd28iMshN88vXovWKWcPrx+KAjrSPU2xTenRBbArWEr+VlSXtshNWshlQt 4o8+h0RpoBX2CzziktRaREJw5S77ATNkMpdvCc4vwCG2hPp5sTEWp2u2ot8t YCxpvJ04qQ8vebF3yVwLOGgSrLNIoQtd4zwO3dy/MA/8YX8yWhsdNqlHGlX+ Yqro8i4py/tgqQ3iZiXOY1ptto4iQQXmMS+NUm3moV10y6K+XREzdBojQQzz KLJ8Pjb+ThZZRib/2sLnUBHQGNDkexN7e5880xKfg73eW9uyD1JgfM65xts6 i3Pr9Ece3rwC2c6ReVHzWViTGlrOCkuC+sq838UpMjK9jymkZYlhIvVH4+6N GSg2zB4zMxJCiIeITvmBGYi0aTmz7DgPUNiECglNQ4BfIrEvgBenTGku8N6b wiv6jZ0Tl0/BteZi8EvnSaTcos4sKjiOaQqDAMrMCVh+u6HkUs8JdvVZYl7B OAIkky4+vngYgkaSORdbxnBdl2HLvvkgtN29NXnJo8i81XLwofI+rLHz8Uvv H4XBsN/+jT3MuKhllwuQ0BDlNO3/ngF3TVPbmi2IKFiVED43tBNU86Kfc5JG UGgQpzg7QIXYKF3TlZBhvDwuqWdkQYGrz2fv8XwdAt3UtQr3iHXCVv288KfY QTS87PZv8lwmLAxcIbsUDGDks9dpNrUFAn15h2RleT/uecZ+jKydI+hyhN85 yv0HBg6qopfcyQSWC0oCMWk9IL7t4OUImCA8sAspo7HsAu2Z4Nb3u0YJvxx3 P+XczoGo4qPRU69GCKfNGZt5HNpgUKWSVf9tiMBYT3k+Kr8FQjSjFpxqgwSK PxHrWiea4U5rXfjPbIBg0Fxr/ulJI/6J0u5JD+onhD6hihHNqgN7wj37J/v6 CZqUf3IZidW4r8Kav3Cun3Da7IqjqVolmniXTh0Y6idk6uku99OWoz5Fxd7C d4Bwojvquv1sCX5r6Jfsej1IkJ0KTCQxFsM0/GiBS94QQb6+/EAXTwE6Ektq tviJhF3OG0P1I7kYSF26Xec8RliTNnlBK5YFlo1zGSELUwRXK70JFoYMPPHj vdOlP0dI+TN566HMDzxS34ydl1gkiF/NHL7bl4Rap55djJfXCCMTv9m/VcTD d1FgOMmQArE/qjW6vsZAjnzu5+FsGvRoBJj6cUTiPIkwSnNoF1jzV2RHdUJx /5Se0FTCfjTkaKXy2QeCqjsu7VbTYWyU7dldqeEP+cMZLh2GxzFp/c+pf8wb FpSvfQaMz+Bgm2VhK/0HFFqoCdBEXcCXDOMzCRfcwXTC5+cxn4uYZbQbzWVy hUK6xUz+d+C86A3lNRlnnPJ/o7jPQgppdrT5VcTX8D9loZRuehvflIaPXA14 icmSN0nt7Iowiefemz1lD5vRds14flWcG1/dw55tA1rmLM7dZZqgT3CL+Tlp ic+eCvo+iY/QK2VyQ9zXHKIG7ZnzGwa4dkU7Xo/eFJM10jH67SZ4zsbaNmVi DCNtlp9LzZZYe3ZfueuGIVo3dxfQvLLHOf2nK72uj6Fz8vSxPXqv0T/Hpa/K pQvTt587Ofa74C1PMRcHgw4uDllcsz7kiXF/W7pLdg/ga1jft6Xrjcjdac2y Ghpwv71c/F3+M97Pf2PlTb0HcylfF74vXyF0u/8PsVoVN5f/HdVwjsB1L/rp 29wqKGe7pH32WQzU0rgl7ufehaOu3o6oswkw3lQ2IeYqQczB+UZ2UTKecrLq yvQpYiA2uF6LMQ0fad+xhXAqQliGap3heCbqbcw7979WwICQYuWVtGzYTfiK 86/J4/AF6U/JVb9Q6npS/BGvPPL9L9iP5BaCL2go4fgHOYwd8Dfz0SnBbg4B W/oTcvCVI76+86AciboulFMkWbRenfRhzayCggNnlWKHLK5l3puaT6nF7Of2 H24jssgf+nYyfbQBmw/sC3/skkOd8StRx6Qm/L2QyMegJIegJgEBF+cW+BR+ EhxMlYOz3GJKkWUbelo/LH49Iw+qZ3HNV1904FLwH+ucPHn4T29eUP3cBesf Xdf0hBTge6H629fCHrzUdxu56K8AjxNvqXgX+2CgTn1TnEoR0ZUSsWosA4jc ShyVe6kI7rVD6u1Cg8jq5Ft5RqUE7v7XiXdlhzAU6abo76+EvQ6vzAR0htHx j/5uvdDdbf7J3Lv1dAQMp5RK+f7chUadYXuECRHZfQ0Z9X7KEHw6mSCvR0JC 3ymNXjUVWF+37I+QGcWHry2LbjyqmOWsGPQ/NQZSuUryLmo1GBLa33vMjaF3 fcMxfVoN0S3xh8STxmFyVelE1cg9nOUZ/J2gPgEWhebN2HF1cBzkD+dbnsCr W/QNFgQNnOUQ1jOImcT5c0J3POI1cbB/4cYeTCFs0LUklaiFbqt4irMpU8hh jq87IKgNuSmBBvn90zjXTfc45sZD8PNceGz5dJsvI/yqVjYf4tcd6gL3vGlM 7N2npF6gg5r1wdzXlNu8q/P45DH3R1B/57XjP8zA1lV8MkVTFx4f0gg+1jPg 4YtefHJJD56Mw7p3tvl6mOKUQdyLx4jh42WX7psBJSnB7G+TPp4qjxFaGclg GGvbcCMYYjNz/MAzQTIGP3uXZxcbIfSX5k5FJTLuZOtoz2obQ0az86TvUzIk qc0ep7E8A0MPkfeoExm7c3LKv06a4D7fTpcMXzJakqV8M0zMEG09f2IrgowJ Qm67VrA5upIdM3qTyfCLMI3O77PAlQeMrzq3/WGOhV5aQ8wK5LM0c3aFZIxK ToV0x1sDl+6m8ZaTQT128NCmqC2ktDQkpKvJuMpdGRY3YIehQwFZu+vISJnk G++Pe44wyUThgnoyDkFf8Hi/Ayw9jyd+aCDD6SR71iMpR3zMLlm8tz3fMdU5 i5nXyKK6vya9vf+3Ib93k4oTajUSlS1ryXBlb9c52+OMRx1DVktVZHieqP/x +7ULphNp7vzZfp/+0CnP87fckD7F+Um4hIwcwgRZU8wdJ6KvlW3+3j5/7zS7 hpwnGu64LxFyyZAw9+Rz8n4P7+aL8gsZZHTtNKKrlPqE7INno7qTyBDucUwv I3ljoJcrfDyGjEUDgbf2ab74UvT2x/4QMp4Xnr+99d0fz23Kft3Y/r+aO0X9 Ozq+gGrvobvm78gghW+mz14KwkXVvHI7BzKmTTiMCvlDID8YLxj+jIxiirao W5fC4RqZzrBXiwwe81caN5giEfLt+v7g22TQlbrvIu6NhvzXQCo6UTLk8tak 0hS+gU6bf/kwJxkUpJbyuvo4HHAWLPlIQ8aeAQ7XTL1EPDh/68a3gRnsdB11 vUJIRfj0wwnpnzPY5371QKdvGiT25K2Fumz7lvUT5sH/MsH02+lBsewMCBJC qiJS2VguC279umsGQsf03Boy8xCRIGYyV7LNUcKbooYcv3HeVK547uM09LP3 J1BoFeKTzQG7C2rT8NRbruMuLwKHdYHxZbZpZDr74KNMCVS6h9ei2qZgozfF Iz5fCpZP3ofbPacwpGI1cDanHAqEBTkpiSkUl8Sz2URVwvI3q5fc8CRWhI+s n0yvxuW8R7uub3NaSPO3DPGJWsiGORx9engSRNWojuDbDZBkkO6ejZ3AYphu E9VkI2z5Cyjmt/3s1V/roPXrzRCVTWuxjxxHlVfpZU/zFnAP9PU08I7Dvbo+ Bt9b4dfGRq+eMAYp9rdfuBbaQFbupLTmGsOXWvPPtDIdoEwOan3uNYpB2wwK v7ROnGT4/CtnmoS7p2l+sPN0YyZK0/n5NRJSc2u/hsb1wFk9sZTyPRGjJkld 7yZ6IXNb8tY58ggqHIKrGIX+4OP3jA2DmyOwTTqwt/t1P3byWtkpBAyjjHXj DK/RALqK2929/wxBT2r39/x9g8iOsKQfOjyEOz1OrLN5g3i9w/ESk+wgZofL 2+qvDqFA+uqnzbABuKYPKX+uGMJ8z56xyM5+MEcn50jeGga3VIamhN4fSAWe 4P9cPozjbI5ufMO9SCifDr9BGAGBxNN3VLUHhTcW99Unj+Cmffp12t9dENuR 2WJ7iIifJK7pK+ydSBMPbrTVJYKN6cv1w4XtuLJ1vIsnjgimvpy4Ee02MDCv hakPE1FhRyF/bKMFI+bOwU37SXjb7fzwc2AzzDjoZd4IklBbwsby265p2z8V 1d7fJMHMyMp9Xb0Rn0Xef7qjQkIXM3uc0st6NK6Y0h25R4LyQD6rpUItTCR+ ZhkpkBBAnf1P63w1qKuYpnMlSVi4W7nAw1UJ7vmdF5I5SegPUojpO16Oqqac izuXiNhlSNViKFGK6HVq1ZRCInbyHDxl+bQYIWnPs0sdiQg6dK3xZnYh6tM6 Aw2uElFHG7re2fwbuvPP56s2RpDjyjGdp/kL02Xx/0mnjSAonOzIzZyL/cqz NjcejsBmoCbVaiILOXSupQp0IyAJvyS8msmE1aiB7GzCMLoPXvbwO5yB7/uM AwtvDoN/wyHV71kaNo/FhusODcFrlTFtmZiKXoVTTa/shpBxmMK0lioF5ZJU X7e2BqGv43E1SzIRxK0PB5rfDsLvffPOdyXxGO90oyinHYSTXHf9xodYvGBc Ew9xH8B+rtTM9sAYEFgK+egZB3B2OfvAel8UlId+5Sux9eNyr2pHiEokWl+e sKak+YN305dIM93heDEqdLryby9aOi+ebT0eBupkCpNsUg9Gd0Z0CpG+QlFl n1DGn27056T76C8GweNWO8Gitwve8Vc3jtwIxKXYU2SngU7UEG87CrV8wXRO 8bzyZAdmqY61Rvh8RkORTNWOinZE0l7NV5f2h5yfpEhTUhsEG541XhPyQ3lF afNSWCsUbVcDXyv7go9LM/VtSAueFJgkRET64OAiA5fJt2acCW/tM2X1wZ3O p/iY2wQb/sA7uT+8sdhxWiOtqxHf7KX1+Y29Ya8Ul7zg1ACL9BBXCglvvKW3 5n1jU4fo8/+aqC55Q39SJP2VVw0ajZUqbR9743i9zD+ZkiqUCvzlmcvzRpBb nfw1tkp42fwN5ZP0gb+6S0yOVzneWr3pmR33QaRZqQgzexmKzqXu+1fiC92s 4aq+jyWIjbVdeL7pBwtarvSJk8XICFHlaXD8jIGNItu5zkKccWJ2dJEPQCmD 7ffwuwXgF+SSprINgsaGWO++s/mQyz1hl0AZgoArQwMuwnlw3TKxot0Ig7n2 BYH3T3PwWOExhfOvCIiHfREav5eFLFvZT4zW0RDoMHW+6Z6J2xyE5v9KY+Fj nfh2bTkdLbIs745VfMeOUoLMSlgajgvW5TTJp+KZ7wT1SvoPlK9mMIt9ScOd IxlTbqOpUL29/9AH8UykN2xFDF5MxR0Uvna7mo0wLZGwPpkUcKjR1un9zkO1 1lKau1YyKGtu7g7OKYDtvecZVyKSgO824jxcxWA7z1JbcTAJmwpKUk3Jpfgi pGPJmZOIyq60r6bvK/Dq2aFcN/dE0IvuELhYUI1uDssPRKdE9M1p7Z98X4f3 FxlnU74kQlUyfdf9W42IUSGGXK9IhLzn26RJYhPC9O4xHd2bhLhLKrRcwS14 ETk/lWOVhKl6Zvef+m2we0Ps+TmXhKsVqelZ0h3gZ1ETKXRLBvWAYd8r4S6s f3m05SeaAua7L7kbzvWgVTR1eOdmCv7uKeb9K9CH+CUxlg2TVByXyWslCvaj Y1WcJDiZioaI+eTLgQOITYqKiLf8gdQnZg6dfoN4zjEhb0qXBs+RdLdG9yEc qqCZpYpPQ7uxz6OT1sNgjTujQ6eajrj1yx51KiNYPfjCI4Y5AxqqVNfFeInY bdXJtqs9A5k9fCXcc8TtvBh8YB+fCYtqV6mseBJIswLH+T1+4oMnMfDh3VFs O6ytpV0W/IS1J4jTo2CyZvgYZpUNaiQSFezHIB55VMSWmAN9FUfuh1zj2FUs GMRikYfSZtne2sRxhC3mOXw9kg/z4GyFS1wTyChllL80/BtDPxk23jlMICfL wIjjcSF0O/PsU0omELIZXrLDqAiM3AtrX7f5+meY6wz1q2L4irEmndzu4zWN jY9j0SUQOF/yaZZvEocNP1Pa/ykFOU/9v+cXJvFsULHX7Ww5QiXmV2jPTKJN QP2/Sa8KuElfGkk8MIkD/NwylteqkGT5wIGNPIHoK55X9rLWIHxGVCsqbwJ3 I/gfHmCqw7tzm74HX0zAb8CaKp+rAR03ZJiW+SdwLof6SuD3RsQHrTv5tI5D ezn0rkRnE0y8+Ao2TMax32qd7fuhFuxOW1jk3BgDS6xsD69BK2hzO55kvRoD 0w56Pgqqdtiwi+Ur945ibu+15YqfHfh4ZzdXI88o3oOmM+RNF+QVDDl5H5Jw suXLartOD/JaNkPxlgiRCr/BUuU+XF6o+NLhM4Ktk5Ishqr9uBLCfeOnxzAa il+6u6Vu53NRtXnOkyFUO9ivm/wcxFAncX6H4CBEXuTZh2YNYaFvuta8sB8q 34xEpZ2GUT0Ywqtm3gcfs9gawcsjOG2rw85O1QPuY4clSDXbfXT8nMzsaic+ Sb32nLxBhD516NT+oXZs2NAVnk/dvldXV3oHClqRsVSWc+QvEb/ezlmNUrZg x0vmorgTJDAfT7tZK9UE9h3tx1VBwlZdZJnI4QYEzL5YLtzmGvt6D3dyQQ3Y J95PNp8j4Ydtmmi/SyWIdhSts3Qk/P5vzYSwXIZTv5wsRhqIyFyb9pn2KgGz WSztV2ciYvNHqQxkirC3J+m0+0kieEiMcwetfqNwjGkhNn0EqT8KZQJ+5ELF PSPCXnAEiTNtlOt3syD5IGJhLnIYxVFr8/73M7A1qPj7GPcwzhZapLwRTcNz rZGw2PAhfExQ7xPezrOv+axW/YeG0D1G23//ShJsq29wcLkPIjZYVrhYJgEm 1Xw5qSsDuKpEI0qVFQsq/VKHQv0BJPXdUnlmEwPT2yYuxXH9OG23+1HAmyiE XfM6Su/yBxk2KvHfGiIQbmxmsajbB3Gq9zym98JRqDz6bPR6L8I1bCdPnQlF mP3f3TsEerBfae4a03owtKcc//5M7MJ39w927AaBkDncJeJ3sRPBsgxz+cpf wI0LK5Mt7ag5cLfXPckf5PPyvJ6ObTjYXnw8XNsPplpeuu0SrdAKfLI5pOkL jTGHC0N0LZC7eZxwK8gH1w12rLqSmqDP+6b9DrMP6s0bBs1aG+GwWeRgkumN 8KDo7wetGtC+GB+V4uKNPUWrR8d067Dy0Je11tUbu9wij5TZ1KDjWK7P4vb+ yvQpzx3fq0ApEr2rZK8PevmVVKY3K7BkNfJ+x/Z5yS7jM81m5bg9cu5EkLwv Pv08d5NuqxQbrmy7rYX9wNh2LWkmtgR3XQVLn9/xR/pc/t5fu7d7QOUnpw7d FzwMi/rb/7UQrWKKnux8gWgiejyICP0NJaET/iOlwWBreZv38vov3Pkicff2 SCgGdZsrePlyYXXok0OlfAQivaqMZ29nw5V7c4L+XRTMNYXt3ob+xIu5LLuu M99g+b5XnuZEJuKfWJuEXo/HzvjMZ4F+6ViV8Uvqqk5CrcQGFfu1NHzQX+R9 E/0DdpfTKcvO/IDz+ccOTcsZ+KkZM/NMKhUeRIpQ3tVsSA9aXKHkTEHmBu8v 5tJ8KBaFPKhjTkbFsWX5E7lFIKls6S6oJMHA8ohP3d4yXBosSU/bSMR8SDJ/ DW0lApqMGIVbE1G77y7z0N0aHJyz+zXQkYjR08/ll5e2+Tbynq8abRLoz07M +Nk24YbQKKexThKamBjkE7b7TDX1QyknMQnThyifaA+3wTD9v5QE72SM6dGo vrvZCTYqJylz/RT0OuWxypV0w1ryz7g863Zf9dK6fm7sxWOJyaf2Hqk4mVlN mznwB5nk0Yxk+h8Iq2ww22U7AIuXlXl//X8gbfxhV4T9IB6FiA+oCqThQsHT DzbWQ/jPnLdzti0NG/d9pE8aDoNu8lDAiHs65l5FtHrLj6DM4ruI9p0MGLP7 GOzY7q8N2svFXw5n4sDSSb6j29wtH+DH2bCciaAjhtEzaSTsZqmqlx/+iZCd kcYj2qNQjL+d+6wvC4IljqGl/0bhVXV83YWUjQ13F6lI9zH86+sO3NzMQazx 1v7GneOQ89G8t8cpD6KXuSy8fcZR0/ZvLJMrHzMfRb8p75zAaYMvMYy9v2FS tr+zXncCZxjkAyPuF+LFd6UX9YkTUG+PYmpSLYKDk/cA5/D/+mUX62XdYojW nvayp5vEptOeocjXJbjOEHbVlGMSA4u1ORkppRivy7N+cmoSdGc+HfqkVo7Z A6/V649OQlDpsnHotnfI/Ke6L5NyEo4NY92hTNXgok79QGqZQDHzGTXZo7Uw u7zyMMN/AkS1d4ZqyvWgvORjvPPmBIK88za/bXvP929/kg0mxzFNJ5tfFdIE sZWl8/tej8NLqcLj+HIzPETr/FdpxjE6euIv54tW7CFSCvy2GsN5VVUVaZZ2 JOYd1TnVPAqrCN+HhJoOGGq/LNc9OgprX7ufnJ+7wNJeEWC/7VV8hRxfRG16 wHqEGH7Dngi3S8dCagz7sHQ2jzPAbQRiJh4P24z6cf1Rv4iQ4zCWXM7k1eQM IOVV6LP1B0N4W/i38Y3Jtn9MGdJ5befqXmPL02aVgzB9I/5Q8/AgCsx3BJcd G4K2WVW3QNwA/g9DPsPM "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFl3k0Vd/Dh0WmohKF0EgkifhmSp+iqCQhU5KSyhBCylCiMqXMMmUer9k1 z1PmeZ6ny8VFSpGK6r2/v97zx9lrr3XWOuesvc95nueQkZXGfVoaGhpQT/8b mVSKNLdE98KP0LLnlu8PWBrsv6vZ1YuP7msfDP/7gSfPlkTNz/fBMm7bzWKn NQTW9X0MIfbhmmp2vX73Klr9o8NH+fsxXOPTQiO1Ci59vQj50H4YBFeN1iV/ h7Rsq0qK0AD2aZudntn6HRFaxY87SgagyPi5tMjqG3aL8usWXBsEoxSbx5nZ FTi7bN9uODOIM1mUpZoHK2CwdXlvETsEwb4XQ1U9X+FnuT3s9N1huIklLi2o fEUGv8f3vCMjyJx9qTke/gXTJvcDJuZHQCt33DgiYxmLYeFESfIoBEr4L9IG f4a4Rf1vX/IYSq87LWm8X4I9WTm0ijIOnn+CNyUDF1G9IcDsuTIB6QvtbeT4 Bcwtd605xU1i58wTBmkXCviWfx+wuzYF6wW42D6Yx+2k/O5Tm1PwePvwpKPm HK7WnL2Y7EfCHiPeC1YWs7By5Ce+EpiGrLQGu4AXGarbit+eK5lGIE/h61eJ M/jzWvKA0rUZPNz9oiOiehobPAEjE5MzENthGpU5SoKUhPLZs9ZksG/K7zn4 YwrD3WQ/m79ksCgrpT5nnUIUcwNJzHIWOt+HOUKvTYKTcOOs8/AshAqSDvPy TmBua9bleIU5bA9ipVSFjGH/xNbIvsQ5nJ/XaVDbNQrHTtnh03TzaJITcBVx H0bN8qeDvXrzoHvB1Pjt1yAE9zxhS0qZh2txD+PzRwMQqH+V5L88DymbR3zk 8T58nNKXNhOmgEMkUitQoxeTPJ1cazcpGLi0u02qqRtXrufcv+1AQdKPW1+P eXdho117M8uHgm8J5zQS1TtxccQn6Uw4BXe2hlRsPdOO35ZL2+5EUPCe5j+O e9Mt6KmdCX/jT4H8Dsrkg49NkHrhqyP8nAKaSvlaXrMGxLMWCC5T71fCz9jw Sq0Oxq2OV/1PULDjM4OxmVot9mZo3KBZnYfCdx5F3UfVcLsv2aSbOY+QwpCp xuuVUPmz0rJ0ax5DrrN2Z7aVQTf60LwizTxYzuYJLjMUI3N6PZ0rbA7848uR lsoFeJ2vv0VTaA5PDwiVbTbnYot4u9+/zFl4Cmy/EembA3MvBr6LorP4kqC0 9p4/Cw9JJ5bNC8j4OrmW27eRhoho01J3WTI+Miet7D5GwMaE2UXL0hl8rPj5 LiAxCXranBbfZGZAs9VZ3tosAYM94br9BdOYIPzx7H0ch+ALjiVtp6bxRLfk IBcxBqUR4psrviQs7JM29kiOhGiULFvW5ymw35RQCX0SDvuHwnL1B6fwwUxM NYUpBFcevlwr15kEv1nd1VbZIPz5pVBqITiB3so8tbnP/hAa+ZDIlDYGVRZ1 iX3b/OB1ObXEVm4U/74VG7L9fIcbUWH0VkPDEOY1XZU2eQuHD3W0pm5D2LfC m5ql4onnJMUkPwxC7DEzq7OPO8KWonhnGAfgEOTqlnfQDdtGIuLPUPeNYGDD WOTaa6g0u63/fN2LCCsGNbGeV+A5+vlnrXwPPFiQb7ruisIHnZSxbd0IZq/9 o6HjisRWuuInC51w/vrJvHDBBXS/49W8FTsgmXaLciLeBWjWvJs63Yoks4/N 8yEuGORjZuAlNuOgdYbvkU8u2PLa61mrcCM4RRdNApVdwdZa+MeKVIeo5ZgR 7gOvMKP8Js2xpxaVRW849K69hs1P6XsNP6thuHnDp330DZIyNwhhqlVYkeoN bupzx91N9tdSEeXgW0rdFn3JC9p/2PnyKSUQ1dYQYLv8Dk/oP3u6vCwCq/Oh J7NffGF/JHeZV7sAYdWibAMnAlAwsm7iw5KPdqX3OnVjgaAtLTPIHs7FMsed 0pq6YDjtSjPkqySi2uSZfNZSCFw9j8R4FuXgnfrX5Es3w9HNoBFSVpcN7Z/H S8EZCcY1E22Jliw0i+unJO+NQdTACtexl5k4r36Xn8cuFiJ92hPulzIQXHDX 8saPOHzhz+A0PJqOUNUfWyIiEyDtMfeimzMNH/+7ds7JMgkzN1PP7+RNxabZ s28Nj1JQZRS59+sfAjSlK7w7s1LwrPHbZa5JApj1S61ivqcgVuWgs0cNARam R2pkpAmIrC/Tlk8kgCHqS0rUCwKOLjDc14wjwOVLnGX4GwJCvvELmkUTcICS qBjqTcCY5b+Prh8JiB7zEAoNIEBkdPANawQBu1/TRnN9ICA87H/H/4+VfDyV R0MJMGqgIXFHEhC0rsaWR72O7sClzPAYAr6n7t3ZEUjAjG/ZtchkAnKqvCsX /AgwobvwLzaTAMstoYcZfQjQ8rKoSsknILflwNXL1gQIWTnq3N4koF6fr6/z BgH+NteGZxRT4chhaxxJfa/yEfLzs+9SofbgZmwmLwFbqnkdLfpSUddgFzB+ NQUD8S2HSoQzYMBdTev5LhmbmUIBWwuz0EL/9jT3SBKKCp2KjZGDOckj6szS SaDoP8wwrCXi0czptYG4RIR7ewtRTPMw9DniEwtPIiJ3exzw+a8ABx78ppyO SQD/fxH2n4WKYEHiSVkST8BNlUcROUolcH+ltVWGFI81HX3dde4yLGjdqzoW Hg9BhmNyidsr8MzHgt1fLx70py45vd1RBT0SyU/xYDz+atsUNgtWQ+xwBgvX chy2J66sntKoQd4FtSOBpXGwELMXi2ypxb2GPaopAXGY8/2luXC7DiwzVX18 tnEQktuaN8jSAJZ46aryW3GIePtmerOvEemeph+11OKgzUc8W1zSDE6LWuOC K3FwMtpR+V9pK/Jo4v5b0IqDsXpRAiN/J4Lq/C+kPorDHY2cy2seXehf/Kfw 2DcOqDq5q+BvN+qDNMKv58dBeo9MhotiL+wuO6jLTsfBXrDP6l1gH+KszL+z c8cjfvvnb58+94P30WfOBu14fDomvn3h+iAWHOiNzn2Mh3J/Endg6RDWLUKc rSjxeL/NsVlCZAQ8TRqqhFsJIP4TEmo4MAa2AwLrLmMJED15ZE/v3gm02Ngv 1V1NxCMjJ85S9UloqT467/QpERVKUwrEvVOw1/K8GHeBup55xYcVhqag6MJP f64tCTQd7W9NQknoZU9QMLidjFMe7vESmtNQ76ezYfiZjGuHr4nXM81Awbw6 RyU8BR6drNv1i2bg5OZwTf0ZAa/Wf8uRfMlwe2d7c8goFSbeWplq+rM4+zNi 84BBGpzYv79r5Z5DuBr7gtmDdEiJCYS2Nc9BCX+UmF9m4K5m8AKr5TzciAoe msmZONWr+MyDjgKHoa9qaRNZiN4dv9fMm4L9jwS5rrVk45QMrSjLcar/HKs9 VZGfg2dMVUnZeQt47fp4j48LEdMilq0lexZxro++d5d2Liw4z11ZN6X6U9dB voTTebi+vm+/KnERlZQs07TD+ZBTteON/7KI8m1si777CnB8dFN4+PASopX0 HKr2F+LFTYHJxqtLGC894ppzsggKEqvO0pZLGO15tDyqWoytfc5c0x5LOJml oXlipQSMeTa9fdFL6G8LYD2TXYbDw9dmstOWIEWJefnyXQWYx8VPNaYvwXWD bleVYhV84209pBKWkNkjU2iuXo0ROtnjcwFL0Cv5rcb5uAbcegsbfg5LuGTG Zh8VUwu16j7vOt0lBFiGVZGmP4Fr6fKvr2JL0HmSqrHNvh7mHKTw1F+L+MP7 7XOqUCN+XeNuMSlehEVznZv8ehOuv91vq/x4EfbpO5hOk1sg2hgWKbt/Efqq h0Y2vreB5uaPO+y1C9i3MSzxeHcn6J5INb2+vQDbauNIrzNdyHVpXj70lYKa 3uWQJvtuVBLpLcyeUXDhexpZdqkHXhL3WrnI82ANMH8Q8LQPWfS87TYX5rEp F3+CyDmAEc0ZB7OgOdw68ugabccg7p05tDrQM4v2Gw8fXYkYxkoejbfzlllc tHA67eo4isrjD3Q4eMmIFT6q7ms6DouJ3QeuHZ5B84iF2RTtJBS4fnm3Kk2D 2Nt5WbhnEqFuZSkGt0g47Cb11iee6qUxx419jaaw98QInYU1CeQorZ1CepMQ 0p5zeS4zjUOsruIeLuOIPJlxKWt9GhHTHDI/xEZhyRpGV+c6gwyT50av1Ydh K2/FLU5Dhn2Wd7f7vUGMjn9cvmFAhrivZOy/2n68Lpx4HJpJxqT1O76P+/tQ tyOu/PsKGVuErGV+2fVALoFIryQwC2U222HFti5oVHT1kc7PYtjYLOW2bSdS /nCAQ30Wv3luPPCi+ub6SIZrNXVuGkJc/h3TgnY9vrVvCrNY5I95YcTdBHeB Kj/SkVls2B8TOpRWj2KZCC/WVTLMPPNrTPU/IXrvQ9GLudS59IOGn6I1+O3b Yx1lQ4aaqvG/MK8qdAVUdqsJkjEiFrPJ9a8cdONfvvd2zaAiOCJq6kgpPAwW lPpsZrBG1y9a9KoIcubKdge2z8Drw6WJNJ4CmKo9sY6LmAZtsd2bis+50H25 PGlM7YmVEpqZLes58N5FiHYikCBSdXB7tWQ2vJOdT9McI8HmpIz6XeUMXNZp YGZKnEJTiuh7BZdUlO2S7f+4fwob7IHpBiwpGKr16yv4MIkY3wePe6cTqd1y NFl6xyTM2L+lrP2NB+Nl04Ne4+PoNv8Uy7gnDuci1kha8WO4dDbxmZsN1S8M TE+mPhrF2Uyug+94opCX4NtBe2YEeSkl8p5lEdC5c9fLZ/cwDD4ceSJWHAZu JU0BqZVBXLxi6tm2NRQRcZrlqYMDUL7iZOkT9AHMuVUFxk39iDA1j1c3DMZS sT9TQW0f2l1EwiwNgtDW4xnd2tCLaX+6+688AyGlPxD81a8HIxbhQe5ZASDp jnmam3WDQeOlB2FnAFZ6BpM2NLtQfrl5YCLWH5MJJhfPqHbixH5OhaE7/tgz O6VxJ60dr4oktYiX/EF3J4c5cKgVU+JWqYXa/nBQvXJ28kgLGL6vhUt5+cOx 8ZeLvXwTDIV0xknf/bF3i4A7u1MDVIdZU6T8A5DbkHM3dJjqk4qnFhONAkGJ 2Zr3W+8Tei13cXwxCwI/aaPi3HoNfi2a2/FlBuN9Eu19j+xqbD87etJDPAR7 ivkStr6pwreg/NbhjVBcfGuzxDZZAenYXlrJPRFI2/qe7sqRMlSahf2siY+C cCX925DiYtiP/V4ud41FyMXVwaSIQih6PxdTEE3Ap+mgpoWafCy2PEshWCUj 5sy+Qb9jeTjymEutzigNz02c+m2biXhBGNiXzJGNgeerg6yxVL8s+Z73b5WI yB9GPaaEbPhe9qw4alKAIfrBt8JVWejz5eqscSvBw5LnofxvMrFDfuHM2weV EKyQ/BYUloFb9cr9j/xrwH6oKZ5+Mx0dn0dMNObrYCC37VNxbjq4LHYNmpAa 4cT2zezPh3T8HarcmybaCgXRd5EPE9JREMJqrdHWARIbj0rlcDpuu5Dd/4x1 gTPWRuCXNHVf22ZaRf3ugXZ1EvfpigyMtG2TkZbux9p8k1uNaSbSvzO9HfQb hFCpRsMeuSx0qDFd5/gzjJGfWqwxtNmIuREQnMA0Bjn3XCHPJ9kYFd9z1YnK dwW5R3Xy37Oxu/93sY8ftaevFIfVOecgzO5Xra//FGLfLTwV5STie9Xl3Axv EqpLDeT8y4goOrm6z+/5NIL9HpTsssrFZwdJRxGjGagk6EYPieYhpNr4Yw+1 +76FcF4+vJkHla3zkdL0s7ANFYoRHsjHbO5wl3XVLDr/3ZuTqypATLy81qr5 HOR4VzxSCgtx/PBxR2/GeaQwrg22lBch8sC4gWrgPHRmBKaZe4rBtstu7f1O ChhX8+7TXi/FsCE9/WwYBUrvk1VH5srwZvzE8wKWBbhVz1UkR1RgmyK7RKrp At7xhmcon65CKHu9xBviAuol8x1nT1RDV1vlFT1lAU6epd7a/9UgwFT4wvCO RYzjtKCSai3ajTguvRdYRIfukxCzp5+g2iaU4SK6iMDwAkEhrnoUmC3fuCO4 iIUTwyE+ww3Y/CtaNcVC5X8VsUunsgkiRi9PdEwuwPiI5Be5xhZ0LxzPfpGw AB7i17jZH20Y3E2OGtJdwKtDnZQnRzthkvj8lO1fCtq5k3X773dByJpw+W0w BakVd0WPl3TjN+HNNNd+Cnw2JwgyMr1o5qiRLPCdR4TfdTX1zj4cWep9Jft1 DhwB6jUSLwfg57Q7b/zsHLYbJYhwXBxCEw1tQbrjLFxcTGxND45gic1ixCuO jPNetcfzdozh8lmHXsX8GdBeZ7zyH8sEuFK3BMXlTCPs4rUdTV6TaKj3dXz1 gYRoHN6V4zOFXzklHzaoPKQMZAp2U/v8WZd89ce9k4i6+yHGx30adMpVuz3u jeHpP26IUznLXeph9NBsBAuH8iOOE2cwtC7/L+j2EC5kRtYPniKD4GrdxKRI fW4Nvv1cMWSc+DzivIW3D3duk0tvzpMxmyOxsH69B+UqPMthfFR+PaTbz+7e hXt07Fyc8rOQ95ks0HXpQENMwo+TF6je+BCuH5lb0b2uTvIXm8U/drt/NHmN UPhr6uW3fRZbxf47DL56XF5pTd3ZQ8Z4sPoW3rRaXIj22vfDnYxtV+pKLt6r xmsB0xNEKt+kTnd5BAdVwNw0uvN8wQwawzP5XteXICVaWvuE5Az4hI5u8hsW Yr4v0PRJ/DReMlnQjhvkIbQn42YUlWcF/z6eFpchgkErk5YnloRhRu9sQ/Vs vM6zLVfiJGFXgtartgsZwO+JTXuvKSjECmbZqaViWLHG7NfPSRwtPsfLVZyM F2LRjesPJvEhqOY1jX0iXq2xj7IQJvDZWJxc8yoeu5UGw0XdxiH3TGDsRWcs Pg78lvlBXQfzlGoaer0YyIQIyH9SGoU2T17152NRYKsR4SsTHUGP+ES/+0YE 5JnpNh9nDEGaja3siGkYaFYUtWRlB7F6tUwkXycEF6/RS5j09yNLj+izmR0M ifPcKfWv+nDrRd7a6XtBoI2wUS9BLx5n2x/XvxMIn0S927qsPTB8EPnLIjIA rQvVco6LXbj2W1F9hS0APOsbOm1DnWg4AU7LQn8MnqxY3O3cAY//ohQr3f0h 7N5895RFG3hufIqj8fBHjoTN+/svWyAyEh11K98fjM+OuNHmNmHVzpjdeFcA 6q+yCWkzNMLQprdiIiQAT/uVKjOe1SPMOuRf9tVAkIskVgzo62DYoVRfIRZE 9YeSzIaMWhg9/Wi1pBQMthCVP/l7amBcfkztGU0I9Atv2BETqpCdkGVSeSCM yke1NPusCiiPMfaUEyPQ4bPlOJduGc63lA3mNUchvUjz19GzJfiofVVA8Wws grTYFn/eKkLUbbc33o/jcZLZgeFadgGiukOiRrclQZDtpoaqZD5m3v3kvbKf AAaJNO/2uFzwVV+oCY7IwAxeOcRcI6JE7dDsumcO/FPjd3w5lYODK3j2bSAP D1pP23upZEPS7rqlf28RuPS09GKPZaEgedtFy/ByPOSeNFflzMQ0K4tWSVw1 HnvNv624mYGfbwzO9q5/QjvBrMeHJgPblJ6c2lxqQM/htn67vnRoyW63SZZu ga1pb0D/QDq+WDd5dI20I0+gS1aFIQMrre85tM26UHHqr0WcYQZGT/66tNO3 B2pHVmXGSBmw/7uQWDzQh+XEG9tFfTOxtlp2U+DsILwdvTh+3svCDeYxP+uS YfQoncla2ZuNL9kUJobGUdxxkOD755kNptyflp6D43h7piuLjykH+qIWvhK2 k8jdFySnHpQDWt7bGyxPp/B8dC9tygkijChWB0/YkMB5iZgg20uEOjfLPeH7 0+Ber9wu4pmL2fDaS5SrMyCWnblMuJwH+omlzlTqd/1PTsyWwpUPbdI3OQ6q 977/oGZ/4kc+dllkPhbLmcVtge7lyqkC6LKSms1vz4G+TGJ8daQQIkOv33hv zIFFWePNMXIR6mPtueM85zG1zL330x+qryQwbqFloMA40+D5Q9dSvPdDA2cA BZJtb37kHyzHwWfOEdwMC+gd9j/fNloBVu2J3Ip7C3gqwHDxsX4Veh6btgyk L8DEzseVR7caX72Fn0lML4BhvEpgz/0a/E15deMt0yIm/shf3v26FoaCVX+s qf3137v00x3ET9hTtGKudXQRbym+Fsf067HH3XkygG8RDH6VzJ/4G/Hi7M+v 17csQmcHVm+zNUNHjP2+Ts8C1tyjWgsOt8IyR85pPWgB8zlTcQ4325Glfzua S3kBHvpkPV6DTlS40J+/uEDBHUd7sbTYLvSPL1YVOFNgePlwwbONbgwOW7Pe 2UrBSzY5lpKXvYhbeyKyajMP8Vqp/iO8/TDeWjRwrHMOguRPioadA9T9krD/ FM8c4mofbTpHDOHS5JfWnZqzEO/iTmtzGoHv+Sd34p6SUaBn4e9nOQbltsE/ uW9mwHo/9Gex1QSEhsuXWKh+cvK91e/askk8eBiv4KdPAvOnECaGmikM7rTc eHB4CjWiP39crSGB/sqlZNeYCey4pTt/1XsaNl8J9Ac0x8CQ2C1ipzyDyZ+R dLvnhrHHdXpXDbVnRM7ycuRMDOKPiONT3atk3JW7vf8r1eNT3nx/IUbtIzr/ Hf+EUnvxUFeKeGiNjArW6YPKn7vRMP27KpN/Fi/eNCfbiHfhoY2TvD5mMdVj wvboRzvaOw1Xm6k95plWa3gvugU7t/ZEfRGZxV8ta74+k0ZIakapWDPMwkNY 6cmr8TqcXFYVWGklw+uMcugD+1rMcDeLGrlQvUvD6fekXDUW3A+OSx8iI0Sf XsX6ZgXcQy3brbNnYGp0lzYkqgQ6Bqps707OoMld2b5MqRAvYzXLn8ZMQyzY yllEIw/Tp9stQw9Pw0tZuPnCSSIMY9Qn9kaRkLDMdpr5cja2R7G5qnKQoHU2 Uvzz6QyEmLAnBLhPoXFwIpj+QipmPUPyRH5MoqbvtWZ1VjJanjKIXjGehLba X2/bx4nw3/in/TN+AqZzrglFz+NxfOHm9wfUbjZk4FkubImFmtd535eGY2iw /OagqhWDp9yN5BiFUSwnrXuAPwo1/FrLS8IjqFGtq1ZZj0AWs0iOTMoQ+Okv csTeC4Pf1Lud5RKDMH7SwJKpHoKdNp4Hm9qp61RZIk2TFozHVhs3hR37sNv8 hGw2tbcu9f35cOF0L9QvhMt81A+Ebly/w3G6HhjX3aGacQAkjFfNCya7cNIl X9+F2lu3HSgBfu2dsFKfvf+0wB/RZw8QySYd8I7dcCum8mkulF5NWa8NJwVt 9fuoPfVlimt3zqMWvCJ+jaYt8UelfpqUfWwTiqR6x8f3BoA48/UEZa0BI3QT z8/GBOBAQBqPukk9du6b/c6qE4h0upeVW6n/aV2WuOOQp/ahgo/q/Zha3DI4 lF6lFQwLrdKaHQw18CwiXGbnDMH8wC6b24FVSLzEFvvhXBgM1HZUur6twMXe mtH2yQikn82bKRUvg+ixP9IZzNG4H3b3mzhnCfYx6cfbmcRCQCm0ZP/pIqh0 vpyWSYnH3RSFOZG3BSg6nEhjqpkEUScpe+ud+VjbGz/Q7kRAo4rw0+Y3uXBm +rc+z5SJ3Mmi2bDTRJgI52q8bsyB7oBdxtGDOejTdBXWPpQPxyMssjry2Thp fZkhTagYEx9dxs/tyQKp/JPm7K9yWLSzfFhgzkTdqRhv1cFqOBz7r9BKMwMn dt3KF5Cow363urnAP+l42Os+IyncCMazH45z9adD92rP7YGnLXD/GaZhPpIO N865/j7uDuTmudSLs2Tgw5n3eRGeXXhbbEpReJgB0zf3g6bTelA4eEUyeTED py4pfb73rQ8qPL9kQkIzIeUw83JNaxBeNuGcThZZCDtfbNXWPgwOz9SsHbzZ KHuXbZ89Mgriy6SyRz7ZeLacyH5lcRyhR287dLHmQMrQNYzx+SRYIhzYz4fn 4Lr7/MFzzlMIs/3M3ixBRPXHUNlsBxIsPe+puw0TUXvAMOy7+TSO0HoNBPvk UvfRX7ZVjRl4BaQ3CV3Pw6uAQwnrImTsK78kb3cgH+7Xy7ak/CSjib1vR9lm PpppQhrZ82dhKDyWrTxfAJ3GQ7Kpd+fwvpH9hzmpEMN6DrGn/s5hcr6t322x CDGmPrVVb+fBurz31AZdCaztubKTGSlIOXzOzdm9FNMqAr5fqby6sveYhiN/ OQ4FVSjpUnnVJmMlyzxRgQ/vuOX8qbwaVxt/nkHl1T9lYusDKq/GWApc9XSq kbwpJhtHWkBs8PtnEvdq0OIYfGKdcRFWitqayy9rEea0hfKDyqMeyXtHLmR+ QtmGci0TlVdCuR7p5Vr10P2m/fV/vPKc4/C7vb8RLXpxtTFUXv1+lnKAzNwM B1Umw99UXn3vyX/Lsq8VkU/JeSvBC5Da4kV0vd4OGbc2QatLVF7KXntjptOJ kKkitb+LFLB+tdWTjOjCldG8kSEXCiZkbtKcWO2G0H8jAj+ovP4x09fIat+L 4oBL+YN287h6cUmKm6MfMrysLQY9c3i6cm5ho2EAwlGWDwr3z+HQHY3YloAh TDiH01K0Z/E0Pf9nv80ITiYyenQ7kuGzJVnE5P4YZLytT5z1oq6nN6Hx2YMJ XLCbJn13mcaIoOuQQNEkQpLF6vvukHD0g3Tgy/IpsIhic5vQFHZHG7T+LCch oLpR1SV9Aq88BnYEeEzjdUfnxbDbY/huKJ5058IMsup+a4ysDGPTKpdTpmMG p6U/r7dRBqEX8O7C7StknFQyv3iupx8KZvXXP+WQseWpicw7Yi/4t5of56R6 j3K2N/HMWjfKPb4NMVJ5dfecetecdBeIep3NnFReCedo6Yhv7cDLDm6eeSqv TpXb/yWltUCIxlrr4YlZvNULXF+1pfKqc8yfn3EWv5cF/P/N1SGW7+qLzjYy +LriFK+41IK8m6h6y5WMvm+u3WcVqnHYmeu+3GEyNB339esbV6CmtV/SLGcG Fst3+n4nlqDcSD3JRGwGD2Utl5ZVCnFZcjxSMHYaMq/dv3lo5eFRZcCPa0em 0ShcznbyFBFb5lYDO6m8+pri9Pgd1YvVm/x2Me0hQc39fZmsXAaiRNtWVTym QKtnb5ylnIqKENMvJCqv7vL96hghJoNZxKl2g8qrcyPkdjbbRPxwbE5RS5yA WGEcz5JzPCTDYJLtOo5HD5nF/NpioS+mEV98ZwzVFq7yg9ox4Hgn7tGsOArC lAKp62gUvl4ysKQXGYFd0G5jq18RYAoO1XQmDCEyN4kn+34Y3A5zmgv9N4jX ZfKvwjRDsO3S7katzn6c3pe8rSI9GLtf5jH3OPVBn/OPg4xhEJjm565ule4F 3RnWrsVbgWCQJ7z7s7UHr/OrtreEB2DELcf3A6kLk74Lmtf/10OMWaOOnZ04 ShK+RUPtq2NGcdtiH3XgTUB+0Bcqr7xPtTDP3WqD3Us3kUIqr1gEi7UkHrdA J8Oj8n2xP8IWzKJGEppg2B1WvoPKK+FB7lyRXw3QF/I3YokOgG/E8+1PzOsR WBxBeqwVCMJxbQLD70/4IDuSe1wuCHSkzfWL8bWQfh6aI6QZjNXx50l3mWuw 1e2B6sLuEBh3U2jpQ6rQcYPuzm3ZMHgccq44F1CBKCUQlwYiwOMh+6dcpgzZ ExodRn+icN3ta9lYSAmUTo2kLMzFQPlG6fkLXMXg6xD03HwTh/8D/B3ZUQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwVl3c8le8bx1WioT1JpJQR7ahUn0pSFEplRmigYYSKSik7ycj+yszeI3vv c46D45xjj2MrpTSM8Lt//jhe79fz3M817vv+XNclYmh25fZCLi4uWfLz//9T FH5fs8ssiCvcuEmjUHHg9yf5W4SFGvdROIRlH21ZrE14icqZ5BnCn3rldC8Q NpS7fEqWSsUmn9czxwk3NtQ6+BLe5SQsAMK77Vdd3EGjwsttlY4mYScOn18e 4fXNSeEuhBO3vHdSrKeiY823EirhKI3iuSzCre8PPRW6woLa8CP+CcLyq3Z0 WRFWVSxnfSfcG8W7s5LwXGz8p0jCKxOWNSxSZyHBPcxsJeEXBfECuwiv2L23 4iix98A479UOwtuOvpo4Qvz7mF516C9Zv6RTpF2MxGNzN+9kOOGhrXP64nVU 2M2P7xMjvKpdkKFXS8WT0BlpX+Lfu4cSZmM1VNiqMI+JEFarFoziEO7mP7Uw TY0F033n87aS92+8+FegTNig79P7cMIrGBfSplRZUNGJkLxPvt+xf2VoGeG4 FSuu2xD7h4+ZiyQRXmLZ+ymD+PdBu6KihPB4Ko/ubhLP8kVBDxaR79GzmvVS 6FRYCu6iWRFeY94YKNJIxaMQocrVxB+TD0tEDZuoaM69rE4nvN5rUfRlBhU3 /Zvqokg8LzhbvzEIn2qg6TuQfFBFFoY2EVYtklqocZXkK7/dE4StHOxerr7G gk/dj5GN5Htv699ddCQs8bj0aVkDFcZ8wlHNhBl8WZmCxJ8rgt+O/CX8XLRb 7xDJt+v8bdMhwr2lSmOCJL6NYmbZ4YRFDCW//D9/T9/wbdhJ+OM8TbCsigp3 5dya48T+swZskq2ggmp7/tAy4t/nH0YnBcqo+MP90j2UxPN7+tfWqBIqns0p +60h8bf7TScsJpy+n8v8pQoLzTUGT4wI3+eRSF9+iYXAsQqVxlKS/+yYpbwX WejRePK+ppyKekUxmZPKLBSpJRveI/ZLrh12LFViYX86JiLJfgXvH3QKJaw1 NnnuColH/rHoum7CpzG++hLJ99fWlQ9cyHrHZy3CRkwqZk0bbELI94+9Sd1g 1ErFlKz5p/XEnw3SP24s7yTxXlPlGyD7mRap81e4hwrt6uGyGRIP9jhn3uWQ /WLIG5wm8e913ZOW0keFkktDZeB1FuqdXhfXE77tFz2vpMXCY62gblXyfufD 7TfTdVg44MzTOt1FRZmXwrj/DRa2KrS49BD70q+vsqv1WCi/Ub9BluyndVJs 30Z9FlyN5T9okf3g2Ws6eIc8T7WnF1eQ/C5K130Zr8tCyt3wyNV5JJ6ekDQG sXey++PQ5zQq8iqrO3iJPwJGpzxT4qn4Udeo/Yz4bxu5Yyw5muS/WJ7rGYn/ m3FC0PVIKk4rGEoZKbKg47lRRCSK6MW2Tq6gMywE00VXXosl+rBeep3HSRby GNsLp1KoSPDoWB0tx4KSPbudTuz//HZg+MQxFqaOPS5XIedlf47O1lDCL5bs OxvDJudZZdeU63EWmq7I+1EGqDgql75oCiwsC23zy5ugIjr3o2HrWRa0Z90a PLlokMozq+Ai+2UuYyFiuJyGF/dc3kuR+/Dq9IGlV9bRcCjBxWORNgueJSE9 AZto8LDvWM1vyMJmjd+r/89GspU5P0xYiImaOjm0lqw32RG01IKFjCenr9xc SkMuZya13Yacl0K+c+IzVJzEzOlRW6IP2QqsjGEq3igMF1Q/Y2FgpYhqNblP dj6cd8KEnx8aFLQg8Z7+Z85kPCHxH1Le8iicihanl7PtliyUmkvdp7pQ0X74 yvg1U3I+R7lSuSypuOc43ehG9vOl8XRzgB4VkWpV+7+RePYs36jBp0ZF0iID LQEFFhRPDY3HKVIhelyJXSvDQoe1/dTLc1QI3unXHpNgITq0VfjBRSqGbyuu 5RZi4ek6vU1XtKi4vP/Lw7x1LKzuiAvY8YDo/8YdKlnLWag7n3/puTMVF29z HF15yHk7JlH1MYaKl5JXSzO4WVCXvHTMguiXberI3HvyfERdO8jhFxUya/P+ avCx0Hl8oRy/EA3lR6hJ6zayQNv/+eEJRRpqD57W/biDvG/s85P2gAZLSdOo DfuI/uYYU7KcaTi7wVfnAjkvgQ7Hti4KpcGpV0l0gtzvwxfGHzNTaPCz/mxe QM6zSAnDRK+ArOeIhp0yZyGf94jASBkNNv19visdWBB8oJLcS9jqoGFdvA8L XzIC93bkk/18M6UYFk30sE9Z52EiDalG9y+IZrNAaXtaVeZLw/YxIU+vChY0 XmzIX29NOPQ/HcUGotfbfz4ZvkSD4O1sx5QWFo6LL9yxfBsNvozNjLOdLNxw o/7w/EriZ/HrBhL+foPpWpdJ9GE0x2AveZ9VqjGtaE7uA5PXT5FK7kvDdDRV kopJNm/pcC7J55Zb6teGKDDcoZ1gEk70y+Wx9WQsBZf3jPtbvmYh54yybqUl BfcpLn+mbrKQfWXcKlKRgtlaKaPj5D4t0PVbdlCSgr0bvjhdFGRBVEbQVEKI gtbYRZt4Z5kQf/iokipIQeZeK+uTXUwou3r9qdxFAS1cWbmuhIl9yY99Xx2n YPHHc19eRTMhvSTHWFKPgkPG7RwZDyZ+x3J3R7lTIEu7UZjyhAkHscev3Soo KHNnRoTfZmKZgU/6UX4qfufnvnPWZsLx65WTks9IfTmitHWhJhPcDy+mdhA9 ddNapKikw0Rc3a39K6Rp+LVqXUTILeIf74/aLncathmcPLfZiolDa1/OyX6l wZPbs7fAlYm0aw60OuV6DJRT5oyJf/Glk6bCsfXoW2pp11LFhNN8YU34XD1s dX0PR44xIeD3mJJ2kQ6hyawZOX6i18svc7I86Tgtw+u4jOjJ10Y1Lu8cOs6I KywoIfk07NcU295Kx6jUHct/TizE1gXXuI7TsT32wvjVZFKPnn3V5J6jQ3Hs O/dVFgu8XD9mrLgaoLMv/rrtHAuvy9t/Z0zScctQoO+kABsKUoNCsl/pkPtr OxJ5mA3GgFTqmjY6Lu5pPv5YjY3UMhWdI2V0dGWpnHI0ZeNIXZBJfBQdFtde 7At8zUara06/xSs6hDNnzqe5sKEj1VRk8JT4x3XrU74HG6/3CL5YZ0GH2Vlq 3WdvNlYvrzZxNqajKTrxSLQ/Gy6tJ+sL9emQ+SDmuj2ADfPHUk9b9egQDPdJ /0jYSNbe+dcNOsztGjIFA9lYJnBpaiXhR2uFpXQIx/htWB6iS4d/4P//2NDw LPstTnj35eJFLYS/vO15lKVDR9H0jNHGIDauKrfWnSYc/TlotQ/hEFUnSW1t OqzXWX1YFczG7vysMQstOlZE3/3pTniV+ov1rpp0vJG/OqgXxgY7f2yNqiod L3wzckSi2djME3ajRYEOPWnbL4w4NrYq62vtPE6H+isxLutkNqo5v+7LHCDx bLyzcbSMjZpi8ddaC+hYX3dg32cmG4cc3VJzKPV4OVn+KXGQDaeJ4z89vOrx 3n9+Kvg3G48to3MF1etRN7DxnObCFtSsZlPSVtcjY/H3JIPVLRiysRHJSKDh XWsglxh/CxLFXmw3PEWDON1dW16wBZuPVW75RfqhkXwLL0PyvOOL1+VcHSry ZRJPnCXrpUtqpjYNUMDk179WxNUC2Z6iYqcHFCxihidb97OxV7Fh+aK2OgQn snWVi9jYce/HciWlOrzm8PsEvGNjLOehBkprken52WHyGhvHecYDUk7XQqDi QpvCBjY2BvKKn6mvwVhx1JMPNNKPp9jffGBSg2pu1ZA9L1m4a3lh/cMNNRBq 9dr8ag8LHMl68TPN1dipwHNKoI2JrqOKSz/FVIP5ruZ84BsmPJoPKq73qsZw StlI5F4mhp5YOFQR1pyvZLV3NONu/T7v7PhqzAgJBjA9mhEmnD4Q2lENR/W3 S9ecbYaE3Ns9U2I18O7fHTLB1YxNAdKB029r0CidplxRycA6eUMhj+W1+Omy d1OcDwOW/ynRFCJroav84nP0PQbMnZwvaqrXYSLm7ZlgFQZ0SkNlXQQo6LyW bXz+BAODf9Ju8/8leqdvOnvhCAMBdpMuJYOkv+FOfLPlFANHd6wf/jBIw/ub i103XWMg+onFTr6JepgMDxf1mDHwibLyX34THTX+sfMviH2lKWpVhnYDLiT2 Vv8oJnwpI3kbtQFZA5qLJX4z0FhnaLbteCOshCgHuQ82Q0D2u9jGuEawN/oe uvy0Gb1rzny8sqYJeYlLrr9gNkN059Hg5w5NaNm/S3P/cSbabHQlJYabILIm fCg5kYmUZM+d0WCgcGWuM98u0u9tOrvSyImB0+qx0rtjSD3UnXi4NI+BM6NZ Dml72AhWkRFxamEg4XDR9OJ8Njp4uRcK9zBgca7v9l6DFgx46Ch71TFwuazX qZO3FcdEDyvJkLhqn2XF8Se0YtvCSnr8UQa4riRv1jvXhj79X5tdiprwX6Zg cWhzG/7Qn0tY7WhC1RHts3nH2/EjcWQy8W0jzAu7Fnf6tkOar/7yZF8Djj7N ysxubYd2tO7Hud0NePUo/OaKJR1wTnEPqqUTPRaMpwwIdiCT/5iZrQwNLO/y kvQNHQice53V7UPBuK7WXpfxdlh/dZM7MF6LLXolV00K2uE/LL6aL7oGQ15f /U5ZtePS4tHsFMNqNGw6l2O0uR3F6inGi6WrsEiYORga1wbPcpX7QbyV2Bn+ NP+ARBvmTd0HXX6X44zCicOUgFZ8VN56+e5UGWT37LxnPt0CpQ8PTpzeUAbB u418lmotEP4u0xyoVAq+Mx5hqv+xsfBiufbjoBIYyhtHfuxj4Zd1wk/rxSVw +3k38+9OFnwfD14r2lQMPuU2L/YdJrS2aXg46xRh2SDfjoDYZhy+PZAtySrE kXMqO/XHGNgt8a3ZzrkQotzCLzfJMvCci8vY2KwQBWY8jAfOTYDPzJ7N7wpx d+K4a0N3I7ZZVDsu7i/E/b/c4ZanG0Fn/bBcYVmE1Ac519SSGpCzuS3p8dFi BGV9vrhtYQOe+W0R/Ha2BCNUkV4rRj18At0s9IRKYZ+Spbywjob7tZVSvrvL UOVux71zhIoxBevhS2blkI/WjE3fT8VnXf2+M18rkHrddodsFAXhGhT9hqgq /I4KXcV3moKsv52T3kE1EEgonTNdQsFrJuXXN1od7uTNCttN1+ExK1zn3Qka VL18/mpvouDZZOJ/PQN0NB8Ia9ylT8HJb41i1282IobL1elfIwXrl1TeNuI0 ISb5xMJZMzK3vqpIXvioGUb3RxuUj9IgwuHo5y8jdfOM2RO5ORoyrv1XZa/B BndEVP3Fnnq8ecy1Zn9oC9xddpp7dNOxy9PihXdrK/ga99AWvGiAocXWRRbc 7UgQ7ppvFmhEumioQxN/B9rLLRQPVzWC6im9W3hDJ74Gi40vf9mEh42750// 7IRxS4L/gfMMjAx8MyhK6sIKIc3zD4WacVKX92De2W606gv5myxkgjqnoTKb 2Q1BDi04aYIJMV9/w+F/3Rh/axIc+IOFVtvulvQVPfAoeS2jNcPGLasEhS+8 PThZNfSlZVUrIm6ekuFq68btw/S3S23asH2Gvy5IpxvPxLOOXh9qR0DAqhK5 kC7YX7vybo9+J9Kyy0/I/dcJtVdUWjK7C7nVKZVuNzugfCtvRbJoD/K5t/5p HW5DMf/aNDNmD9T2XfzZdbQVdmntFJZOL3y61qtbZrJxQubv0dvMXnSftPqi sYbMKR8iv/46wYH13dyrtteaSZ2TuHPmDQcPOC+2prY0ocYrtEUsl4NPuTKz PuqN6Ll69OpoKwfFigsC9f3ocLUXUxvv44ChWMK450b6t/HnWr+aOaDvnDSJ 86zF4Mcz9yczOVARP3jMV6Yaa871J0c4cMDb1mElOVmBwyUC+Z3EfmrE/RbP tjKUJ72b3DjUi4vTHP0JTgk2DQqrKtj3Qi6n4v0TySIkZuSn9PH2wnpZ6YPo oTzgzZPt3Q49ePLmFWPL/GfSP1dZvlreg3paWOofdhb05b3e6Gzpxn+XYs9d /ZqBZQ47p+M3dGE8Z4y+52g6Yk1GPtQt6cTiXzRvRl4qFr/hiFn+bYeCw2jU 5bZkzInR6nb2t8E6V3UP2z8RQ/9K7kg0tkLzSFJkZXQ8dAum6U9LiN5GFUQs /xeLuZdro+sy2PibyfKQ9olB8NsojnMii/R1Q7a3b33CvtDMzW0JTOx8NvIy 3SQa957aPCo2bMZTsflbNreikJAb53hPnIFhmW1tpTGREOgKuto/S3R3pepb /92R6Lfi1iwkupunM+v+YyQCnbr+9fqZdAym8Wm7dkVgzsLB4CaZa9yMopyi eSIRd7z19uw4Bcbp73O+34yEK1/kxH3UoeT83in1sUgEZ5tF0K/XIGOdpM9I VxT2slzszgRV4eaUudp9kU/QK+1Z40501Vv1ZuiL/Bisza/gMQopR+HzTRI7 s+Pw5VWSm/v1Mli7J3bTBRMhG323u+1gKXacixIwmU2GxJbLNxUOlODV3uT/ 9h9Kw9amDdeqPhbBVm9P3I0jGZgz2eyoxCxA1hZLlXq+bDzx9jV31MgHU3Kl rLRFLhRaPnG6RfLwnWbqEGNbiLIrYQrX9+VCeuxU71vhUsR3a+w3s8/BkxVp n2gj5TgYIKW7jy8HGUVyN47srEaNh5ZuQNtnjPT42W9cV4eic/5aX2mf4fzt 2ActVaIzjcfO63Z8xkUPo5KGv3TM/9UtESPnyOlEXk3F7Uac/1FoOn84Bx5j /W68/U0oEA1u+PgyBzbzQ6JfrZrRPmSwq7ErB8+apmZEyByr4uMsdFctF/fa Q181VpC+uZiffYqZi6zWzh+xz1vh5PKu1sUrD4HjjFWWYe14dcTSVc80H2Pa S6XtKjsRULqUr2NnAWYjNS7I3OvG9a50tuvPAtyQVD24ybEH0xXOVvYNhTg6 U5DxQrUXVqryap3FRRjePv5Obh0HzVemg6klxWj49oK/u57cu3vHvIpNSuAh G8or+aoP4lMbXDb9K4HagE/2Gol++O94V6mdWwo5fsVxsYF+hHOCneXelOGR 2AcdqucA7m76OLnoRjnC38nwG4kPYk3AHs/FZyuIPf3kjORBjFyVNwo4Wgn9 DWa1rduH4Nn93VjgZBXczXvuHXIcgqBbnce3y9U4wZqev8oagjvvtSw76xrk tbW8+L5xGG9FKjx3x9UiVeL8bariMFRtnRRMxuqQZl7bVmAyjAv89V9uvKZi FVVEr8h+GAvm++Zp++tRHqI2itfDOPDZ7a7+FB3MleF2ZtbDuF/9gfvaWAOq zq7W1dAYRiU11GPzl0Yc1P+1ok1iGHvdzgdK/2mCWK5ye+rYEPqf/LmbubIZ kwK7LtyPHMKpwrr3mYeYcBXa1mKtPIQEqQDVjcYs5Ja7R60dHIRxa5tbUCwb XvGdH+88GsTFzJe1MsdacVdyv6ZUywCiNLjFhzvacDLtXG2SxADytu2ZYr/r wGbbiKb/7vZDYN+O4tuXujARKl/s69WHKpn5lqfLenDYuuzq9hgO1Ca4D18d J/oderJgIKYXs3o/TrV96sWbIrEDjrQefDddzojT5uCl+cvAEko3XDF06NLS PszH7VB9xunErWiHKnpKH36teyr1oKcdXV1aWilK/VhzsXtheHUr/C4061Xn 9mOV4Pn7i9a1YNfyjIl2wQGcXfv+1aOrLMiWmIeYWwxA7jo1nfKuGQt/8W67 ET+Ae/oaLls2MjB+JX/BOtYA+vhvnXj0XyPEHquoLJgYwOe2YddgsQZUx7qt j5wfgLWEi/MtMxr0LulmeU8PoIa/3GtfRB1+dxa5h3MGYBRmMv/pWzX8lPb8 9zN7ADLZrcdrdSrRU58y2/RmAG2RVaw5w3LEleTlPlMgefTesn3aqRQZ5wPe HZjqx4tV+ZOvfIsx9kxY4mlYPwyHu9/r3igAR72qZ8PxfjzXFIjLNiX6oSD+ ewmtDxny3gJ7CrMhFztV8PpqHzaNSB1pUc/E7FKn+HYGB4v1O7hNpdLxvFfG w+4iB/X5/wRs5FNRreAb1lzci+ZDqH4okYQfhpda1fb2YsteqU1FMvGQWu/6 SjGkBwLXPZryomKgPuOZ+4vUeWMJt2kQfRc1Ufs5NNiFkRBPkde2kZjYeCbM trgT+Rc8f2jQw+G44hvrQnAH9l6p/KilH4YfoedDcuzaYTiV1z6rEIoAAwGD EYM23Nn68becWAjJ32KBCpVWbD5QnVd7PQh2xly//p1pgVHRrI1fXQB+OxgL bAEbdX/NTnLZ+uPH9SMH7eVZUG3fUJ54ww+X1fjU+4WZMKjvEfkp/wGzVnec u5c0g3uZkfGCW77Qei/C83KuCQHBfUuCs33wObTVN42rCX78Zwv+HPbBUJdl /tlVjVj9YFLRudMbIi93P/kt0YB73+Uqa+K8oRQTqNEbVo/LNlWamwO8wZc/ qiUdSvq7ZFGKVoo3TvPqa3IXkb5xgbbfsb/eeH+g4l/hHJlTd+avZj/0gYHh nVfxekQvFGuC3Tb6YjbIlb2loxIGpsJVzd990dBSdfy+dQXyg+oVlWY/oNfm Tv9CiXJEKPVEeZ7xx+MFJi5riJ79ueuuE7IlEFJ/4rhcTEvALbfs2nqNYNRH 3IjltSnC7l8723oWhIJXPnp1sFoBTA/GZjV8CIOtxGHntJt5WKXp8czmUQQG Aic2O0fk4HeP8X5aVBQUxHy749Z+xm91kwhHmRg8c3UdnnueBX89z8dTKfHI vfR+qf/WTKSOflvCZCQjbbb1VtJYOuzzK0/d7E7D+bd/8kZH08hcM2tzvyYT X3c4btJdm4ZjAi9/RsrkwFVpi72JQSqEcxjIOl4Ango3SmBCCq5FprJbbEpg 94hXYV17MgTiUgxnpcvxsSXsfO2lZGQLmeT2K1ehUfOzfD5XMijbw5ixrFr0 LpGL8vuehM/d59bxzlEhHuKytps7GYyCKJadTAO+cS/a6QPCBtbJjqub8KJh GYUZmozEHWVeBcuakRh8QG1MJAU1yu6yz0RYSBFXTT1TkwJTvYQlfaoteH7i Tlzq+VQ48Tx0GPNsA5+25iO7olR8uSSrmdDWgfAhmVQThTSYuhp6uot3I3Fk r51VZxp6BSqdO3J60Loqccknp3SsrRqWBrsX67lrvPlPZ4Bvcn6s6QsHT5cu k53hy4TjSPSNOxN9mOR+WuE8mollXW66al/6cfeKoi1fWxbk1v7Rc2gcgHzR 9pzB9mxELVPq84gaxND04/DX459x0u67bajREJ7Y92bqb86F97lHo6Yrh6G+ I0ST52oezuna3toWPYyE2Uu6a6LyIfnBiK0kPgLX7H23c04Wwl9Rxds9ZgSd whWxS/4UIcPSU7hu1SiU5+0MfG+XgO/0XFuu4Sj2jtzPj9MvRa6h1c0tEaNI vn526ReTMmQWl8pE00dR/21eidexHJtOGjlOfB2FWEFUVWZaBRRTfqY/nxnF vLNhVcp4JfY99/v0/t8oNq+burTHrBoO4fqKvN9HIXfkwclZnlq8YSq+2cUY xfO20SeHc+swp2R4b2H8KG77/8v/4kTFw+FLUmZWxF76mh5Ji3q4Xv/ZxXNw FI4Sendsjjcg4Zztg72DI1j35sV3F9VGNCnGHd/2bgR755mHdls24cvLBwZD kiMYF5492vKFAV+Fzo3/wodh37aM9vo5E2F+m2JLeIfhSx89wSPGxhldyVp3 nSGoPNtXljbUgt2q25vtQwZxKkj9966iNiQePebwoXYA5urrM7fGdsBv21BJ bG8/hDR1HwhHdOF0miHFta8PyqYuNf7qpM7NcyI3kP6F56fnlb2avbjAvc1A O6wXv9TXxWwn9W9hl0k4TasHp99p1B5U78P1bPsjcr870cS1MIq9qh/0fdcl w/5rh63cXNiJgn54L1gnwpJsBcJ+bVpycACBNzMM9xxiI/r6Rr+hgAG4pUrE RR1kIsZjg/a+0QEci5SyaJFmQD2m5sPc9kF0lwVzxYo3YvRWclzO8UH4yB82 sVxI5s7co0qVpwaRntY5+bCags7NZ3nOSQ9iWUrYzLH4GswrZxnVcw0ixCDi 45/MSpxNaF0UVzeAfa8N7nDbliPZZW7t39cDKFzP80rCqBTQyOWslR6A5K1d wdShIvStaLlTWNWPGG6nSt0b+UgxEtXecqUfEUQBnCRy0B/5KTmuoQ8pj785 XL+YBfu7i1wlz/bBkpK926U8HUnvnZd6JHNw6cQ9uR63VIT3SEgz1nAQ/1g/ +tLRJJTeWrVmyqwXFVqG6vr9cRhMuXS4p64HhdNJvDlLYiD9xebEKTJfim4P v7cmIApXq4x55Wa6IDZ97mrZmwjcoP3tck3txHbR2H9SZWEws7f/62/agX/P ViyadA2FK0+bodjudjixZgIteEIQGczfFzTRivuuVp89hgNh5/n4q/D7Fmyc vccqbPHHmxGe3ReOsbFYpc0wR9oPHwPPH+r9ycTlir/2amxfTP4uXqCZ14zZ Kyq9HjU++N0XF8V6z0DIP8suEVJP1N8NJ6raNCFPbrLzu7Y3lFMT3741bcT0 tVf+cWNeGBQq0z7yoAHJvykzz+O90GpxxqA8tx672HelC996YcsWRszpAioO D7J1Qv/zQld7pqVeTx2CgguNh9u8UFXEK/xMtBbGS+fGouW9EfVaI/SvUzXq p4e65tjeiP1uE7iPpwpz3bsvCAf6wG15qYpnWAWCrXzCxV19seOzYY7L1XLI P2tP253wAcqvNvyZTyrFdc0J39VB/igWF22wI/NSZO8v/pr5QDg6Vpj/KShE 2+Gy5bLfQhBkxvFyJ+eg8WZTWM2JMByS/POIdSoX65Z9MDM1iMDwrnF3B4PP KFg08ETyZxSW6EesLc3LgruS5tSORbHY+SP52enzmRCT1OmLik/A4FVFRyVO OpTL5DYLKafi1/6CQ/qZafDoOt117WwGTAxlX6qRuXiLcMBhsZZsnLfcoj/Z kwIZZ7n3ZcL5KPr1c41dTDKMfIPPJgmU4HizWW5hWRLWRz1KP8VfjksMoc7N e5Jg9Zyxf8CvCs+73lkuG0/EeyMh1X/BtbD+wpyhdyQipqhymPODCucI2Zy1 E4m4bbPeW/RiA1ozi4bj9idBttHruci5Jpg0vPwa4J+E7Q1ib/4YNaMrtJez QjQZD4qj9ITDWTB3VVxswErGnbCurLd/W/DV7qPC+uQUDE+4baDrt2MPdWuI ybVULFxdE3m7sRN8MycE0qipePLogmNFWzfCV2dTi9TS4Dm06JfF9x48NxNS De5Ng3Xe+ufyX3tRbq8poWWfDgU3hoVRLwcUU3rBeskMJPJMbf1I7YON+GKp X70ZeFEnsHtDYj/6e6E8+iATB75FeGw7O4CT7pKraVxZ4D284+FA8wD+BzVT A9c= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.34874999999999984`, 0.22499999999999987`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.36874999999999986`, 0.24499999999999986`}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.2499999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVle3r7HEFhMVY2KJKLEr2DVolGVvwR6xx9h7V9RoxG7sCIp+hE+J FTvY+2sLKkqR+lIUpCi9YwHLyR3jfea+Y2d8h+PNl3vPODd/MZ6x1tzv/q29 ypxrrYnluNmDJhY3MzNrWtrM7H/9XbH0XVOLtVGGsbdXG0Z38FLdrs8K9RoS LFyh+PWX6+x8hIdZ/Gjuff6wMPYjej6OutH5ltjD2MPYw9iXPPEqfNDEh2IP Yw9jD/skFns8Ku6sGlq23LR53YLVqJkelmUDfYVTcsekzN0VKkx9q6tfTPnG 3ij1YerD1C82u96kklMeS32Y+jD1U52qnX7W4anUh6kPU3/ItNotHvwWL/Vh yg1dG3id6vdMymHKG9Vs2mxHeJKUw5S7vGh9cvEPqSrOve2qyTPDDU8cfv2k 2fjdys7Qd2DeUn9hvgd8cMOoDq3aXxVufWLD4TKfOqu0ZiVSt1wJVLW9Kt77 xeOWMOW34iom2/uFKrsquztecXz0h3LXnRbPa8VECs/oZZWYlBUj7PHWPXvY yjjhcuH753QslyjPo5z2hCmnPvYLvI5mWro8F36ywXtWqS9ThHuNv5ieciBN 9FBO+1FO/6Q96J8w/RPGXq9f318pR4++Pv0Rpr/B9CeY/kN7wJTTfyiHKaf/ wPQf2gf+peQbF9dNwargzPeVnOvEq+tbjQsGXfRRNp3mb1XXU9SybdN+Gj5m i6GqZdqqRkMOqXbxtzv13R+u9rmva2xmFqRK7N/e1rfSNZVx/IWfd/E0qT9r 3Xv7rzP85fdPdzDMCLDOFH4b8I316OR01WKzm7HLkgiD1cmjQ6zmzFEuJ4Ka bB4bKpzvX84xtPcj4ZOxaw90nOArTH+H59Z50Sew9S3hKQ8fxv1W7qww46Fc o71XMsdclu8N8/5tHbZfq9/vnHBM1PFLF+caxL5ZQUrEhsF3xR6m/p3aCSMO +t4RdgvOHjYr+r6MX+rDzIe0B+1He8CMd+xh7Gkv6tNeMO0Fowd72o9y2k9+ 39TfmB/o7zD9o7zDliMJP4cIL+q/o+H9SuFiz/yBPUz9pw1/OXzCLULYrvi+ +s51osWe+QZ7mPrnozwPOhx/IuwUOdT5hFus9Hev2nEDSk5JkPHA/MJ4hgu+ neJveO6vqhckBSRlPRP2nzSjwsg2SarywIRSMROPqH3Vfvykbs90+d6srzDr JUx7837MJzDzBcx8gT39mfdnvDN+1wRn9vNbkizvN2zdWzvXTRky//msN6Q5 2iXaMv/B9GeY+hlVogrszAJlvoSpDzNfwrQnzPeCn+06tSi4XajMbz0Otg6w GRX0h/Wyy+Gp/uf3JCs7R/tW9ebdkfnr7DSfpSV9z8h8cjGh/9JP+//eHz8a vfmHU/HKakn51u19fdT5Zt/3+uhmiiq1ZOiEfR3PqvXn3Ge7R6crmyvlLz2v 66bMIsLLJgzJVMturru9uFO4bYU1xtMZ0zYKRw5J/WH+vV+FQ6K2+6/ccUG4 k8Nxz9FNrgnvGDwhPij9N2Ffj7mBnS7dU0sOvnnuv3SfWlHPZUbd3/VT3n51 j0lTZz1S112vhZi5Gw2Ul9p/qpm/bZjwqgjrpS4zAoVdH6jjNy0eCjO+4Y02 Hbra/XhDuPW+Tjl+jheEp1wtXmdq1xvyPmH7LWb6v73zh/dbsM1v5tLqocIV 2343oeWKMDWnRqVUy4GBUr9hhVpO350MEk4o9Ule8xFGtbW6293LWx+pjTuD J9yLM6qLyzaE3eoXqsz6jWp7NNeoNtqV7+vQOUye36tL1PRuVpHCCUljxxVu j1LDboa9SE0yqqBLQ5oMnxCpqnZb6D7+kVFdNd68s2RKlNS3yE+a+oltjPBj v6+bxw2MVWk/LGvzop1RRZa2LuZTNkaNCt2QE3AyXGXYfFSp5q5Yqf96cGGr 1AZxwj0P257yidR4vHXxMwFeCcLeK7o3PTY+UevfWzLOO4yLV03LrL1Ya2SY +DfU9ytVtuXZds+Fa4ywO7Et7bm6HNDSuSAhUL34/EhAm/HPVdB+78+H3AtQ ETeuVdxpniT1v46t4L37VrLw2laDrRYsTBH+9dLnzX/6Nk04s/yIY8Pepam2 S6Y5tah5X/yjYVViJrvuv6EGHEqZUd0+Tcav54OYUw1809W4dtV6Lb52Xfyn 1juWllxSM/E6/hHPl/nOxDLfmZj5Dma+C9vfZm+KlVH8pcWVxuyZdsgo8yH1 mQ89ym8ZP+u9UeZHypkfv5tYf03fTUZtvjSV41/BzDew3p/KcRmze0veMyln foX1/lRaw4Bmt8NT1fH5AUl9XvuosjV/6dr8rPY9hqalHYh5elTZv0t0ftnA 6w/jq9x5nwzX7UFqQrFAz84bjOrH9AaPpm8NUiUXlxjz7dswNbrksUUXjj1V jb8q7LnNLUz5P+w5p0aLODXB6cS8heseql3ld9s71ND6w97Bjv5lH/ipnD1r 3jxc7W7Q/x7tzXoi84PJP9PXZ/2/N+m7cV8kBIt/Pu92p6+tuwSrlz3NAy7v TFS97pnPa5QcpPp13FPq9pNE6S8hbq8n9w3JEHZ6smbuwPWZwszf+EOsP/3K X02ZGh9haH53Uy/DEA/bz8ov8alRQWMHa+9qE1+GCHtZ53U88yBUGP+I55n3 t9r+5swjKTf2S55xMiZQeF5slxWZ2+4Lp8Teu7fJ5oEw8yuM/8Tzj9dpN9ui 7G0pb1vnTP1VP9wUznjQw63RuNPCcQ8HNRl35pww7SH+qKn9d1fcfvxB6TNa f/WwTywbfUPaT/xPU3l++vigRYdvC08tNe/pL+99pX1Zfw+sXBS9xj5Svn/t i/kN+qwJEab9qD/lzvNVXzQIknKf/Aful47cE6Y9xD/41GvQd5m3pdz9xbDg azu9tN8zjR/qt/Wr2eCW+yXpf4eWOC8Lm3dPGL34m+g7MKpvYt+X2nzxZEpI 2pj9mr/J883HnvT5xtpPnvdpgXGXcUqI8PU6Xb9RaUbxZx9u31F/whWjsqtk rDwjKli5Hxw3Ivv3+Sdr0j+8zyeHy/vgv/L7P1YYGf952QjhszXiUhqei1aN 3bY3ynliFH/3ZOfyjolvjSpkR6hTyTtGtSLmjNeEg0bVfp9V1rTb0fJ8/Fue 1+/WlKcx1Z8Id3++KG9xfKyqG7pw2dsSRvGH1/zW0TJ/olHl1Avwft7qiVp8 6HTLb46Fq1bJp5t99c9Yeb5+fdre/srs71y1+fLUjeXzR8+Il/qMf8oLK9/K sKmlrYfV3NbmdM5PVAumz1lt0ypMvV7UtKmrd5y6PP5UnGXFUOU0eEHL05nx 6mqsX9VRg0NU1Jg9w58eTJDn43/zvInp92bW9NTm49XzN8+tvzxJzch8HdfE I1D89WkWk5tVsglQ0zyWevl2TtLWK9N6h32AT0BasRbafJlu55JVrnSq1Ge9 o7ydR9j0Z5dStfm8vtvszG3pyi3Z0bx473CJ3/HXY7bOrFr5WKz6Yf2CT+aM 8xP/nPhhyXrL3M9HJSmP3n6xNQftlPF/YVP7douqrxD2SX/W4WOfMOmfvkMb XSlXM0iN3ea0a5LjM2XfICGqwfn7KvPbHgPGZiWryAuPppy+fVuN9mzgt3FL qqpab2qJJ5U9JP7u1dn/6ORu3sq794Rj5VtkqJ88PxofkHVUHT5cIzPGLUP8 x+7Byc1TBl404P/D+P8w/j+M/b1aD+OqNnESexh7GHu4vndm1xifx7L+t7hg 6Fe/ME44YOf6wmjz58IzF/T3dGmcKvzx4C+G9OmSKRy6O3OF2Yls4bo/Dw6P upgrPH/RBesLd/KFb02qscY58KVwJXvHyJnRr4V/6B7fvHdSofCp1j3X1817 K/y+zrHH79+/F0YP/gp6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdEDowf/Cj0w emD0wOiB0QOjB0YPjB4YPTB6YPTA6IHRw/hFD4weGD0wemD0wOiB0QOjB0YP jB4YPTB69PvT+Lfog9EHow9GH4w+GH0w+mD0weiD0QejD0YfjD4Yffjr6IPR B6MPRh+MPhh9MPpg9MHog9EHow9GH4w+GH2sF+iD0QejD0YfjD4YfTD6YPTB 6IPRB6MPRh+MPv35BvETemH0wuiF0QujF0YvjF4YvTB6YfTC6IXRC6MXRi9M PE18g34Y/TD6ZX/cpB9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6z35nGVa7 XZboh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfRPvXmgistP2aIf Rj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0W/RtOGQj27liH4Y/TD6 YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9Gf7DbsR2LSuWJfhj9MPph9MPo h9EPox9GP4x+GP0w+mH0w+iH0Q+jH0b/z6WbhST3yRf9MPph9MPoh9EPox9G P4x+GP0w+mH0w+iH0Q+jH0Y/jH7bBacrj9r2QvTD6IfRD6MfRj+Mfhj9MPph 9MPoh9EPox9GP4x+GP3wz0ENdjU8FSH7u3F3R77qkxkrTDn7LSsO1TlYrHSi lFusTR140SJZ+Or4M+9mtU0Xtv71Wqj54SzhZU6WVhmnc4QfOq5ddf96nnD1 2cnGA74vhKd937fZirBXwhf7eq8dGVcgXKZjlei2GW+Eh1otaWle8E4YvXo9 7O/A7MfA+vsO7F/A7FfQX2D2y2Q/3rRf++nH8fnDo7KE7yya1OZhrRzhxQnJ C2wn5Ao3HTjzrJdnnnD8tazcr9LzhfX9Ua9PH59TTv+E6Z8w/ROmf8L0T5j+ CdM/YfonTP+E6Z/69yeehYkHYeIpvof+PgXrO8x6BzP/w8yHMPMD+0U9ekY9 qhXzVPaHOL/lfdhvY76AOc+esGWik8PxROkf7Pcw/8CcB3+Su2JzmcBM2a/9 Osp9qteo47IfA3M+MKd2dEvLTmeEty5cOdOi3T4D+8nUh9nPYf+Ycphyfh9G L/Ee7cP9FJjxg178Te6j6M/jeT72fF/am+/L7zMeaW+Y9uY+AP2D8ch4hTmP 534Mv8/9A96X83nq8/7og3k/4kWep38f4g/08fvMv7Qf4xsOv7kpvcSVKGlv mP6JPfMZTHsu9BjsdjkoRuqzn6rfT/yv3j/g/di/Z76BmW9g5huY+QZmvoGZ b2DmG5j5Bma+gZlvYOYbmPXhv8t9B/avgy5HWfq89jLADzut2hby2yHDcaNH t20rjLLfPOHhyeSbjyP/5Xl+Xp+q/d8NjZXywG57f9217qlwUef9zo1iC8/O TpD6s+pM7tdvT6Jw8zKentPXJwmXL96ssOT5ZGH/Z7OHfLU3Tfho7IvDV/zS hc/H1Vg5Y2SW8IExYxpfytG4VJBjeM/JOcI5/W6v2PFOY/ub8dZ15ucJd7Ft ED67XL72PK+ea94tfyHsZL3J+tvPXwrn7T0WGbHxlXDsl5mr63/1Wnvetgot zrkWCDctPziyWNNCYefl89c77XsjvLzwfPPH7d5qz5sZ/nj6yXdae6RUX3+x +3vhou5LFHUfoqj7DEXdV/jQ+wb0xw5tzb/YfzJLOC7mTEjFMtnCWft22lfJ 1djV7uvPVtvlCB+qUM11/de5wnaXLg/Od9J4xDL30NdL84TN6tu6TA7VuGJy rSozbuQLn3e+GRRR7YUw/hHM+qK/v6C/r6C/n6C/b6C/T8D8qfc3wqZ0vWex SbuvhP8h919M/geM/wHjf+jvK+jPoz70/sGH3g/Qn0+NyB1TPLC2m7ofe+ZW wBDtfoD4I6b3/3RddNdl684J7/mu2K7AYb8Y/n+/P4B/wHqjv1/T58KU7O67 o7X5XXffhPUc++LHHFwX5z+R+t3aLzsYMT7u//i8nPiO51u0LvFqnnO8PC+u ardBTkufCRP/Uf+q+YMDjY4+l/IVLz9+38MlRZj4kPojsp0Hxt5M1Z4XFnzs 7dEMYeJH6r8KGPHONSJTyr+P7Gs1Ymy2dh/GFF9Sv8/Q7aGHXmnlJ+97r2oz M1eY+JP6bj3ym6wqqa0n7y5Wiai4RFtPiE+pn9Rm+KrRFbX1xc5zSbO0Ndr6 QvxKfZt614w2X2rrjfuux2vvOmnrDfEt9dd9Ztnss4ba+pOyrnP0Pndt/SH+ lf5UYu3azFbaetTe4WDL5Z7aekR8TP36uUlRvkpbn36eWHbD8LPa+vSh9yE+ 9H7Dh94/KOo+QfX+M/IyIy4rY8HyIOsa6WrE9Dttll/X7sfhz9v/NqxJcWNa keftzG/E78xn6xrlnA2fqLFrWnDb6AHZUp/4XtZL14V5vY9q87/d8KEO/Xbm SH3if1k/i79udTVDszfziTx3IyJX6rM/IOvp7GXzm7bS+HzL7/NbWuRLffYP KB8V/f60xyKNp+192vrguBcSjzFf/dn7Ex96H4L3iXUc8HJqee08gvgEfwcm /oCJP2DiD5j4Ayb+gIk/YOIPmPgDJv6AiT9g4g+Y+AMm/tDr09+3gNEHow9G H4w+GH0w+mD0weiD0QejD0YfjD4Yf5L7qHxfmHLup1IOU859Vcph2g9mPcff I76FiW9h4ltY8ldM/iH2MPYw9jD2+JPYw9jD2MPYM/6wh7GHsYexJ57FHsYe xh7GnvgXexh7GHsYe+YH7GHsYexh7ImvsYexh7GHsScexx7GHsYexh7/HnsY exh7GHv8f+xh7GHqEx9QH6aceIH4BP9b8u9M978l306XX8j9Vdm/Jl+R/D5T OfUln8lUrs+Pwn/FH4d5Xxh/Gqa99OWstzyP9ZTfY73k/WX/0vR++vlGr5/5 hvow5cw3lMOU6+cb2oPvhR6+L8z6yP4sTP4e+5fkp7EfzP1u1mfy+1iP9flj Zg6b6+4Ymif7lawv/B75SfhDMPVh6ks+gen35Xub2of2oD7vgx6Yctl/Ntmj n/alvuQPm96H9tY/n/w/2ov6xFv0D5jfx558QuIr2S83MfWJjyiHKSceohym nPiHcphy4h3KYcqJbyTeNjHlxDOUw5QTv1AOU068QjlMOfEJ5TDlxCOUw5QT f1AOU858xXiC6V/0V74//VWfL0m8y/wi99FN/Zf8R5j8R+yJd7CX++Om+uQ/ wuQ/Yk/8g73cDzfVJ/8RJv8Re/bvsJf736b67N/DnAdI/qxpf0fyZ7kPbqrP +QbM+RT2xFfYy31vU33OM2DyLSWfnf1E8rW5322qz/kZTD4z9sRr2Mt9b1N9 fT4z5y/Ys1+FPUx9znNgzttgyW8in5N8JhPr8z0lf8nEkr9kYvwhWPKVTIy/ Auv9D9Y78o8PGXxLjjynMf4A6yPltAf+CPnCT5sVn9Rxo7a+6tdb/BHyk13d 1x485Z8tz9evx/gn5EN/W7ZsomXlXFn/eD75yx2e3V7rYKX5QzyP/OjsQT1/ S5qj3c9h/431QPbvTOsB5ffW36p35n6QrOfET5QTP8HETzDxE0z8BBM/wcRP MPETTPwEEz/BxE8w8RNM/AT3adPs2olNoeKPoP/HKo3GDnfQ/j/IvysfWPwz j3nJK100f/fTb+yKjSml+afxNp8sazAwV72YNeOf/daFqrcz24xbZ3VLLb9U 2CnzYaBqd/t+/cmLtqtSJc56PGv3SF2888Wlxl/88v88n3dj4wavdz8PV6U/ rmAZ2CXgf1x+b1H5ukXl4/7ZfNui8mn/bL4s/LFLzVNjQzKEhz/7oXHH9Zmq cvHhp21ivWX+sb1Veprjirsy37Td1DzVPDRY5le+X+vVNS6vWp6nYkc6Dvr4 0m/iP0u8dMtuYmzqEcOeBVFLVvf5Y/zB/PSh+bfrzpv/mLQnTOnzBf9Vvq0+ v/ZD82mLyp+FWY/sC4PdqpW4IeuD+Bv1k+2eDspWL47cad14XICsB6wn1esV ej899ft8sWqN0wpr4x/WqyN1l/X5KDVXDaiyeOtNj/OGd1cD9oaZZ6t1XXuv 9n7ma/Bs9dg+YFKOOl27nUPhsVDDSquInSFHctWNtPtVfV3uqlKGyukF/c8a nO+3GfXu5H1VN+X+thsNTxkWfD5+2vFOfuqm7+Gzxbu4Gy6uqXnoWn6wfJ/l ayJXzrbU+OLErMqFW0JV6bueb5b0vVVkPvCCsC8zJzcNV4/b+w5pP9NXLavz aMrCjDD1bdiuRTPe3FP1P+1ldywkXLUott6/ore/0ueLfb5xZcO95nsNTX0c Cw6MzVJl3j22efz2luFn16nlahmy1YEs82Kxqx4ZZs18kmRXLleV9L/RfW9a hOHqwNE/Xuiep7JaDRu0ZkbkH+K9jX5Rez5udt4QHenT0eAYrvT/z+JsJeuo 54P91PVv6x2dW9lf9NtuH1QvYkaQsvAo9+Dp02NF5ivjn7M+bdz3cYb11Cta /9//heOky9eFC7bW+IfH5rvCq7buHFAy4Tdhs4YHfFrXeKT0+ev/Kh/6Q/NH 63fM7bR1sa9yq9S82qvVxwy2P/XpHzX9ocTjxw8Uy9wzX4tPHRausHrePFDi SX7vq3nfFZ4+76FyklO7X3z1x/j1X+Vns17LeY+h+eFu3UJkv2XjlrldZ+wO UTY77FpfDL8qz6N99fn9Hw3K2vXFhePSfpYDjAsPfXboD/MP+e0fmr9MvMzv fzl+X9P67cLl+fbjEwct+MQonNf5xPvG9aKFL3eeFhU9IEq4Ygnzt483B6tD J3L2FvY5p8q0uZYSvyVYeXQ/ZYgcrMXfct+odsufXabEiH1vp/Zhcyxihf/h uMfKrnGc8NL3y6rXu/FUmPic593PiJ1j9jBeyp/PKr66QdsE4a+/nxRRvMsz 4WpPut2NCk8UJp7neZP9PGteiH8u5Wv7+jZ70jdJOLRD03WXhqcIX7hafoFz ZrIw8T/P++j4HN+ZhalSXsfKOXrHxDTh+TVetJwzN0N4yC8htXuX1pj9Ap43 qLv7N85ls6T8h49O3Dloq3GZt09mu3TL1sZnB/9njhU0Zn+B53m0NnOeWSVH yr3yKtZY2UfjYWldfGYNyBXuZdWy48gaGrMfwfOy6kxI6mWZp43/hAVzR9lr 7Bl16Ms+o/KFd9dwdWnbQGP2L3iebeV7tnWtX0h5v2Dj3a/HafzCt9z8elNe Cj8rV5BcqZXG7HfwvK3FrXa+t3kl5XtudbCoPEvjHpdn3Tdb8Fq4bcHoTum2 GrM/wvOis7elRnYrkPI0b48FGUs03nEkqFa0Y6HwmuSbrvf6aMx+Cs+zeprb +fyAN1Le4deSD+6v1Thhd1uHC5veCocY66Xvt9eY/Reetyxw6O7to95J+Uan KZYHt2vc8me3h8673gvXvbehq+M4jf/+fwf/+f87+ND/R/Ch/1/gr/5/AR+a //9X5/dTX/Z3TOX7lzxO8e2SoY5YXd28322s4ct/7PHNKZWl2pe06G9TwVn2 Q/AnLCfEXN3SNEvNKQjcdP1+uKFl1YDpTV5p+yvRW7at+rHN7/NSwws5twtC ZX/Fs4GNy/LpYWpWyPuRsXY+Kjsk6u7eLicNUxwjGqVczlIlj2577pbiY/Bu 3KLHtsq/z6PzDuSM3BFsUHtaTds4Ilc1rWFeOdH2uuH72UdTnKdmK7dJZ5tX yfI3BP96zrf0JW3/g/gDxj8hHoHxL/T7HzD7HzD7HzD7HzD7HzD7HzD7HzD7 HzD7HzD7HzD7HzD7HzD7HzD6iJ/QB6MPRh+MPhh9MPpg9MHog9EHow9GH4w+ GH16PfL/Bk16YPTA6IHRA6MHRg+MHhg9MHpg9MDogdGj/3+y+vNO4kPK9eed xIfUh6kPE69zXxJ7GHsYexh77otiD2MPYw/jnxP/s37o9wPw1/GnYfxd+f+w Jn8Vxt+E8Rdh/D2Jl0z+Goy/BeMvwfg7MP4KjL8B4y/AfG+9PtZ/1l/2W2hP mPWc/RfaH8Y/4L4T30ufH8X8COvPk/T3a3hfxhvMeIMZbzDjDWa8wYw3mPEG M95gxhvMeIMZbzDjTd/e+vHGfhftz/ijvRlvtC/jifMB9ufZ/2c/nv191j/2 G8g/4jyVeJn9Bv6/Kvkq+vNsfo/zAc4bOA/gPIH1mP0Ofo/4m++t//81ch/P 9Hvo4f2J/1lPYcr14xl9PI/3lXwwU3wt+WAmlv8farKnPWDyc+CNhi37bfKf ChtPZr+uXCxBuOGeIQMyyz8Tdthy6ZBv1SRhn2U13x6smyL82YyVg1c2TxOe MDLxyKgOGcLDD9Y1+7JulnCxf9ofK9s4W9hzx8/2L5vlCA/YfLlYYptc4Ver 044HfZMn7LHUYtiNzvnCPeYPKHGy5wvhjGmrTv7S96Ww67izwzcMfiVsO+JZ yUXDXwsnDKzqNWFMgfDm3n1GDppYKNy687JSnaa/EY62OeltPfet8OrmsaNq LHon3KSheZmyP70XZj6W+y0mZnzxfei/fB+5f2Gav7GHsef7UZ/vBzPfYw9j z/elPt8XZn3AHsae7099vj/MeoI9jD39g/r0DxnPpvVH4j8TY0//oT79B2a9 wh7Gnv5FffoXzPqGPYw9/Y/69D+Y9RB7GHv6J/XpnzDrJ/Yw9vRf6tN/YdZb 7GHs6d/Up3/DrM/Yw9jT/6lP/9fPx8yXrB+sx8yncl/ZVJ/5GdafP7NeYy/3 l031mc/hkVb9uvm9zhN77i9jL/eZuU8RV2FCKXeNK/7j0Wplq91nlnwgE0s+ joklH8fEko9jYvxF5nf8deZz/f8T53yd+sQv1Oe+kT7/kviO/ZS/z7v/8/Pu /2n5p3/2vL2o/NGizuP1+aRF5Y/+nR/61+aH/tl8S/15d1H5l/rz8KLyMfXn 5R+an8n8h7+uP+/6s+fv+vP0EYdbXDJboZ2H6vPx9PcF9Pk/RZ1/6/M9izoP 1+eDFnU+XlS+6Ieenxd1fvhXn68XdX6uz4fU51v9u8/LizoP/7913k1+2F99 Xq3PTyvyPPoD833/Pj/++/z47/Pjv8+P/6vnxx+a3/53vvrf+er/e74664/8 f7X/ZvnV/+7zZf39QX1+elHnz/L/UY6NvLwmf75Bf1+xqPPp/wAvJYqF "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFlldwlVUUhfdJM5iQ3CSEQG6uSUwQYq4CkgRCCIkhCBYsKCIKGlBUUJqK WJDmmzrqjGPvY++9omOb0Rcdx7H33nUsY5mxrzVrZXz45j/33H3O2Xvtvc// Ny9bM391QUT8AwrB/qADNIFdwWgwFuwCRoIMqAM1YBQYAjuAMnAg6ATN4GDQ BVrAxeA7sC9YB9aCWlDlPStAm/fkeZPAAMh5rs7zGZ/JuRXgeFAJJvg/zpeA BBjTKnAiqPa6jM9stp+F9r3A48Vev6P9qvKa3UAejPGZVfa5wOu5psE61YOJ IGv/O60B9z/E9hx3g/HeZyoY5zMX2K7Ivo/yefXWgFq0+6ysfR4BisEicBgo 9bPM5w05phL70uX9mdNpPpf57nBMnGv1/EFgHtgZzAZ91iJvn+jP7o6fv9c7 7qx9bPC4335nrWPea0c6dupQh8TdiedKcDRY6hh67GvGduOd9xmh3DPve4BG nz0zVLs8vzdUW6Ote4tjZ5zNnkuOn3MDzl/OfnX7zFbnif6eDvYDk8FWn53z un7HuDeYYp/2AoO2O9UaNVi3PT3OW9vhPNfb/z7b8fesUG80Ou4ea9JmLWqs zXTr024txlqPXu99D+eS9phk3xutA2uk2HvM9T6Djoc2rJ051nAj2AeUh+qM dcvaY83Pt9asm3nWt8g2w72wwPY8c7HPHa5d7rfc43I/F3l8uMe0PdT7cG/W 7wHO65m2K7XtEV5L24WeX+Jz2RvsMfZ2dfzfMyW2OTLUY0s9z5o8yv9xLXuU vVpr22NsP+Q1tDnO8QzHstz7VHttlbWmDxV+rvD/Kz3m/2f5d6XnTrDNGdai yDEtsQ8851ifxXNW2c+53ov7rPZ8tXXaaD8XWkdqxZpl7e7kMzfZnvV5SqhG ucca77/Va2g/x/7RN/YE+2ey9zvNNh3OG3uQNdMUqkfase5Ze3xv1Flv3sm8 j/I+b63n2U8bQj21wWc0eB1txvi5zuOTPOYel4J37S/7++zQO4uxbAv17ybr xdgvDzlJne7ifkna3AE+sMZXgsIkXac4HsZyH+NO0usp7p2kRYN1y9qvk+3n Zvtaa403e7ze/uXs36D3fwi0Jq3fZhvqfC51SrrXWJvLQvU5DnMPh+6JT8CX od5+B1wUusN+AD+G+vkV+ph07zzJ/Cfdf88wzqR75WrwWeju/BhcYB+eA11J WrxMLZPusldZA0n31PmgPymfM/G8BM8t4C3QmVQTjG+6YzwP9CXdW7OSvjmY u0GMZyflkt8g33p+AHNvW68L/Zvjbjw/tObfg2lJtfAL+DV0v/DuvDt0fzKO Z53XF8DzzjM1eDqkA/16KeRbDca3h+7pDMa3hL+tML459M5h3G+EYn8RvB96 J98AypL6+RpQnHTfUPsnQvq3Y/x4qD8mYPxo6D1wHShNyvdHYLttGjF3f+gd cpv9o2+fg09dA1+Br0M9/hp9T3qvfAGucn7fZKxJ789zQEXS+7IAzytCd/Hr rK+kd+Qf4M/Qe+J38Fvo+/E9r+faHGzvDfXbv+Cy0B33SKheWatTk2qC9fCA 42EsHUk+0Z+mpHplrdYn1Rzr7SbrTs2rkrSmzn+Dv0LfsI9ZR2pYmdQ/7J1v QjXKHLVg/sFQf/4Mfgp9R9/qHDO/I/C8PvRds915ov4Tk3ShJiUYXxt6t+T5 f9LdWptU36yfcoxvDL1PeGfM8L3Rm9QnW1hPSb3EPupJ6j32XVtS/pi7/wAK Yt2V "]], Polygon[CompressedData[" 1:eJw11GesyFcYx/FzuLZUiBVKXLO1x+W6uLj2bhFEBbGjgiixXTeo8ULMmK3R UqNma0ftLUS8kJgVe8Teq/X95Xm8+OQ55z/PeM6T2HtohyGZQgi9kID8MYR1 xHJIQVX6/xCroBHOoxTXfiJORE3aB/UcGmMeZqMJmuEr7q8mlkEyitLfTPwG 9bAEkWtdiT9gBnLTH6CIRNp/E79FKuZiJhqgKZ7iMUqgLT5iKmqhIx7iEdqg Nc6iEN/8kTgBp3EDrTAee/wf+nYlnMBCNPdvnkMx3h9CTMd9PEAaKmM+5vj/ xuDmlzn5P37BFV+L0jiDP9ECdXARR9HS1/AUMkVbm3HIR3stsSzq4ip+9W/V xl3c8b7+Nw1ZeacnMSdu4bbf0zP/4rrPtTCmIwfP9yHmQnnau4kV0BDrUSDa WJUji/AfOqEzEri3jNgD3fWNaN/Ut/prDPR/93Y/ZKH/G7Gvv5M92pg11t7I Rn+Ft5Wju5QLXKvvY9Jep9LP8P1RLi0ldguWU9qLJlyb7HtSPFoOK3eHap/p N46WG5N9LovRxec0BS/xHZLwAe9QCh2wCUWi7YVyujbtw8Rq/j/l5nO0C5aj Bbm/kTgIA7EGeaPtnfY0jfYRYnVMwg5dj5b75ZUjtFOi7dVw/Iz3Ppaa+Jp7 W31ug/EH8kQ7yzqDJWlv93eH4S+NK9pZ1BmrRPtesFwegXqaG4rTHo0DWodo tUBnXrl6HDWC5ewsn4PGrnde+xg1tu+xwddAc9cZfOZrnORrtE9rx/2RxFHB 1uJSsFqiNVkQ7ExqrzN8Lz4FO+vak5P4P1gujsXyYDmpXNQZWBUsB5V7qjEr g+WYcks5X472Tl9r5dgWX1Otpc78C7zxuSRiL6pEOxuqkapNFaOtnWrUBZ+T 5qIacQjJ0WplNZ/rfl9bzXmb75H2RjW2cLSak+45kzlazVKtUo6/xZNgta89 rgWrcaptqinHgtWkMb5HIVpNUS1Rjl/2NdNaqca98jlqbsr5zwJYpnM= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncV9MWxt+zdoO5QZmuoVTGRPfiIpKpOSklc6GuopkGKUmlJDOVpBIN hhQpISRJqTQqRIYUSVchKYr1/aznfH7vH+tdZ5+991rPWmsPz/m9lW/s0ryz FRUVPeF/kuvurru5vJUVFXVwXc91I5fWLs1cmrv8z9+3c2ngz6e4vtT1NS7X ZvHc1OVWf1/fdWOX610u0/zr1E+7jexd7nKDdAuXG6VburRzaeVyJX6lr3K5 Sf1X4Et28XOz+q92uUWY6OuofuI4xwJve2Ishr2t7OGvk8aC8U61O7t0EVYw DrWY39OlmzBho7s02G+TBntXzWNcLQv/PVxuVz/YewkT2HtLE98d0sTRtxiW ftLY7qN+sA5x+4NdznW5S/1gHCBMt8tGG8XTX/1gv1uaca+5POcy0WWQRayD XDa77HbZ5TJMOQLXfcJB+369A+NDsov/B+WP9hDFSXzDNRa8D0gzbqj6sVve MWQu5tLaZaC/e8RllHyDZYTsMm+kNH1jZBf/j2Yxl1hGCyv+n5Jm3GPqH+zy pGzfr3ZP1epp2SO+2o5nrOupLuOFCz+ThQ8bE2T3cZdnpZ9Qjp8Q9mc0j3GT FMMo1WCE2lNkD+zPS4P9BWlifTkLPONcpkmD60X1g723Y+7lcp7LdPXjf4bw gaunRSzMf0X9xPGqdB4HebnXZaawgv03lw0u37nMFm7wzhUmfL4p3OC60331 canjcodFLt92eUPzGPeuYmP+O8o37fdkD4zzpMH4vjQxLRC+WS4fSr/uMl/9 rPelLnPkd6H6wX6jxfslLh+rH/+L1A/Gj6SJ6QPZw98yjQX7l7KBnxXKBdg/ FSZ8rlIMYF8tDcZPpLG9UvMYt1axMX+N+ml/Jntg/FwajBd4LItdr3NZLyzE 9JU0eL/IYswS1W+VsHyt/uWq7Ur1LVd8xPON2sT3rfRK5Zt1MVl5naw18b1w E8cP0uTjZ+ED14+KhzgutMC+xeUnxQHezZrHuP8r18zfqn7a22SPOLZLg/cX afDuUMwbXX6X3uTyq/qJ+yIL/3+67FQ/cewWDvD+VQzjH+onvl3Sm2V7tWq7 R2PBe7GF7f1d/614yEcpC3zg4izcpjg4E7crjmShwVtkMY9xJS32JPNLWPTT Lm1hjzj2sdDg3ddCg/cA4SGmAy00ePez6N+tHHyiWh5k0b/XpZwFDvDuVXzE U0Zt4iurOBmX5wjfnIucK0OkOXe5M460yA24DrXIC3EcJk0ch0sTxxHS4D3E IhfMOVFzGHuJbP7Lwt8I+T9Kfoj7aGniq+ZSwaWiSxWL++lgl6rS9MGjGrqN ui4nyQ9YjhcOsJ8gDY5jZJvcHCfbjKukd+Qp50nc3c29/V8LbnSp6/+ov4Hr GhZ8q6HrUy14VyPXp1nwscaua1rwMDgdfK2+8kzcnOtN/P2/LfhZPdfVxfma uj7dgodd5voMC/6ED7gWvItxcCs4VlO9o325jz3LgqvBFeGYcE1wwEngXjkv pN3Mx5xpwc2aqR8fnDHsWfZwZeWGtXasdHkrcMd28g2n6iAst6qNrY5q4w9u 1En+u6gNl+H+Hyb/nTTnGtlrr3dwnz6qT1fNz/lcL2GBf92WFbhd72I+mA9H 7Kb58MweWYGvYgP+Qe5ulr2cdzKnpebjH/4EP4HPtBFnejgr8Dz64Ylwu4HC MjQr8LLiew49WLgHaH4r5bWtMNE/SLjhb/2Eqb/aOWfN4ySXcDN8w3kekd2H hDvngsNl9zGNu0I+b5LPx9XXR/aGys9w1Yy9yPnIuZjzQvY29yX3xVrZhduM zwpccLT8j1EbTE+rDW+CG41VHPAxeBpt+MhUxYO9ccIxWuPAOkH+ci44ISvw uSmyxf04SXOmqI09eE7O6abJH5jgUHCk8y346EtZgV8+mxU44vOKf6L6cj60 QLa4x9/ROPjMbI2Dz8zQvJlqT9L8mVnhXp+VFTgiPIwzrITO3Cmy97owzdA4 cL0pf3BA+N+crMDh5iluOM/crMDz3lMO5gr3M+qbLnxwofnCt0DtqYrvbfmf Lx9wpc+0JkYqtonCulA5yjnZKs2HLy2VvWVqg2O52uBaofZNFjxycVbgRt8o hpV6N0f2lmQFzrdauNeoTR9cBk6TcztwL9a7dcIHh8k52gb5y3neeuH7Wm1y s1Y+lqofH+ynUcrHbPlbmBU403aN4z7fmhU43PfK42a1wfej2uCD52xRPPCG jVmBQy9SHFs1bo3sbRKun+UP3NvUzrnaDsUKr/lVOdih9rd694tyulH92IZr wHsq6JxgveYccZt875SPecrvSsUAF4IbnZh8D1vcbyYOUF7cp5wVOE5ZK3Cf Mrrvc+4Fd4E3HSSeAfZS2jv4Li3eQm6Yv0e+DxB3yXnbPrr/G+re5/5vpHuf +7+x7v0WFr/jcI9xX1cXZ8h5HnbhYvAm7NZ3OdkKYxtovHnsk9VHbf4Wvori MdWU04riRXCdE4txnxOKcaLjNSfnUlWUr0riR+SvstrUtaRsV5Cfqsp7FXEB 1keRcp9zZbhozpVpsy5KqPaZ5pcrxifwB3c7SbiT/B2s/NVXTuBTcCb4S10L TgmfvEdnMmfP9a5bqQ0POtviNyu4ClyOu53vi6st1ld/13dZ/DZHrmuopnld 89/masov88+SzetcX2HxW9AbLken4G1lXE+3mJ//VgUvKOXvX7CoLfP4rQr+ AV5+J+B+u9d1Z9lsafGbGvwkX1v573rwRrgoPAH+Rnx8e15pcVbVVh6wOUT+ 8AU+OCX3PHwWrgmvudbiu2h/rbN6yjl+LpWvWsLUXrm8XPkEI2uddd5CdrHZ Uv7whcBjW2n/sdbg+1dZ4ObcusaiNuw56nOhasS8ZlaItbniLaX1nX9zoNkD +bcE3xbc19drPXD38TsIdzc54r7gvO9qUUtyfrcFl4NftLW4Vxjb14Ln3ePP N+gZvtdPawdb/TSe33jh3Hyf8G3C77l8A8D/b7b4nTd/x3OTLHR7PXe04O58 M1DPtsJwi4XNRrJNm+8f7DK+nnB2Vgy866jxXfQe/Oguire13sMTBypHL2l8 V40B123Cxn7ht+w6ipnY52gv3K51dpfs8H6ActpTdehRbF3yDp7F2u+ld50s 8tJEc3spz2Bjn9+hd731nrGdlCv80Q934Hf3I1OsXeLrq9i7qU7UaJjr+yw4 OvtusPJADEMUe2f18X6wns9Vm3mD5BNsU2WTcT20B+9RPtED9cw+Y63/mRW+ q1nH+Xc17fy7mjZ7km9yzjrujKPU7iOb+Oce5WzlLGbfsK/YU+RqgPLfR7Wp o3XaTzX802Wn1koLz9nXFutukPLD98dQPRMXepieOYOvFcaJLtu1XgZrDDYy t7lHdWLuUNlso7q0Fq7+wtZNbep5t/BT699d/2Kx7rtrfDfFxjj2bGs9M76D cLdX7YYI8+vkMsU5xXcm3zZ8n43w9jEpzsRarsdrnSxzfV6Kc6qe6w2q39n+ vESYV6BT5H4rayRFjv9wGW6xB0/xd+9bnJen+fMHFmcqud+l/P/q8pfFvibW 3xTvWT7+nBRxN3V9WYq99C31TnFefuNyforaf+dSP0Vttrk8Z3H2fOJSN8Ua XOVyUYoz93TXYyz2yALhA1t1109Z3KMfuZyZYr/+6HJGiho2YZ+l2P/k5pIU +fnJZYvFedkwBSbwHObPsyzuFuow26IW3J9vWtwZx/vzXIt7prI/z7G4B8r7 86sWd+FJ/jzP4j5O/jzJ4u560IV/unGGfObPjVOcXxVdv2Zxl1f153cs7hPq s0M1auDv11isa+q53KKmxL3IInZqvl51J38rLXJIXldb5PZZl6VaP6ydjy3W T3N/HmtxLz3j8qFyvtH1Yr3fpBjA/4Pr7y3O14tT1Jtag+VL4fnKYt+yZ5+3 4BlwjHEuEyzOnMdcH5KCm05RvsgVOTM9V3E9yuKufcildAoecIDrly24ERz8 5BR3/wUp1hzrjf39t8Ue3+vygMWZ/LZyTZ7HKy/kpJK/G2nBRWr68xcW3OIt 1ZtaP+5yeArOd5zrJy3u/plaQ6yfl1z2TcETsXdsCps1XK+z4CXEVC1FXNg4 IYWdd7XOWGPvaT2xlsaoNtSlRIpckIejUpwRnA+PuhycgvcfkeK+4a45NAVu MB/kz49YfCd87lIyBZd9ReuYNQzG/VPgXGux/lh7FVLUjHrVTlFj6vsp6zQF /12s9cSaKZcCE3j4ruPbhe8M8npqitySpxctcrVfCkzgmW9xNnEugbdsCswz LPYM+2WaBa+F007VmqihOu9WrR92fWCK75Z9UrR5/gfPR+lX "]], Polygon[CompressedData[" 1:eJwtk9dvj2EUx9/f+1QIIURDCLFCNG2VKqU1S3X8OrS1V6wggoqRNHHn1o1/ AIkQq9Sq2quoNLFXXBA39o4RIymfb865+OR7vu8z3uec5zwDltZWr4ujKEpC CuzBfIYVsBK2wRePSxJRNC5EUT6cI17Gtyzia2gezPS1e2GV75HN+A00H2ZB e/wBNAOK4Df8giT7rUE7MV6PZsIMGIXPga2ML8a/gE+wHObAbngJE6GeOe2Y u584HYrhB/yE1f6PnehbWORrdsAHWALbGc9lfSvxeJgN3+EblCZsj4HKXeeC 6dAdfwwdrv3hKzyFjV6DMsZfoeUJ+3ZVufNtLDoGKoLVSLXZBP+gTeuYvxZ9 rbXBxhZCDfEuz3UL2gzDgtVKd1AVLCflUoc+1tn5tgAt1JmD5ajcNsNI4pvo eqiFI9CFb6XaFw5Bx2C11J1chjR8DZoLZ6F/sFrkwGnoi6/U3nASeuLL0RFw FLoFq1UWXIQh+Gp0NByHVHyZ1/QgdMCXeM9ExIlgtVFN96EpwXpJd34eBuGr /I6u67/BelM9mKfawyTiDXAXJuPnogXw3Gus2mrOM69pnfdED+ITnovOWIC/ 52vnQR98k+deoR7D39E/YvtHIf4BOgXmQ1d8g9dCNe+MP+y1V85J/BO/u2lQ jH+ETo3tTvUWPsb2FvUmbqmvguWmN9qP+Izfje7kNkwI9nZ0podQFOws2vO+ NFguOuMf+Bvb21RPpjN2xXtXPTAUf8l7QXeoXnrjvaqeeg/vYnu7emO9mN+I ZsfWEy3eg+o9vfFTaO9gtdOcwcQXvDd0p3q7lcF6V2/4PzuohKo= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFWHmYl2MU/dV3P5VKRWVsabG1abEm+/JYnsdOVCqifdU2MmUmJIQpqWmM lGSZJIUiCpEkhVCkXYskFa0onOOceeaP89z7rt/73nvuve/vV6djn5t6l81k MsVlMpkEsklkMk2B2Wi8ArQC7knUx7GXoK8Gbgc6Az8BbYFuwFqgNdAF2ATc AXQHUqwL4FHoW4B2QA9gB3AX0AfYBXQE+gJ/AHcD9wI/AHOAV4FtQAegF7AE eA0oBrYDdwK9galAP2AA8LrlIGAPMBDIBhYAHwLTgQeAwcD9QK5lDvAncAAY AjwIDPXchyw59xBwEMgDHgGGee4IS84tg3tngIehPw4M99yRliN8Lp65P7AV aA/0BN4APvKZngIe8x5j3M4HngaedLsyvlMJGAW9wGOcOw4Y7XY1jFcFnvH6 x32WZ4GxnjvR7SLgGMzNAp6DPhmYADwPNENfw9DcGpDVgfHQz4A8PTT3Y+Ad 82iledTK/OkE3GbOkEfkE7nUFWhjnpA75BC5RH6RZxWwd3ngCejrE3Gtte03 0P6mDcmvduZGL/NmhzlCrpBv5B35R76Rd+QfuVbs/ZYCnyTi2Tb7pL3vX2gb TfN36bu5ifjHM8y0/wbbhzPsx/nAm4k49iWwEHjL88iroUkpF9k+YD3HY+TV sKSUi2wftJ7rMfJqeFLKRbbJwRGeN9x+fywp5SLbjNGRXsMxcupJj+W7Tdvn ew3HyKnRHhvjNjk4xms4Rk6N9ViB2+RggdeMtS0LPVbkNjlV5DWFtvsEj010 O8scLPIYefdCIm5O9pzmIb6+nYibUzznvUR5hb4+M8TdWYk4Ss7eCpyCvpOd D5kvspPSeC2234vNEerLgcVuv29+sP97YJ7bHyTKTYPcN917vuvvMk6+cv99 5sYb5gUxw3yo7zvx/uQUecR81cj3mOz93vFdmvgevP83ieKT39zjswywPeb4 fvz+hz5Djr/B/T/x3fr7HnO9dprvw7t86nty36m2dT/7aZx9ynvM996MZcZ9 V99job/1T6I8m+dzfWF7T7eNsm3vpbb5MvfzzMwbmxPlDvZ97fk823c+3xL7 jGs/A1Z4LXPTSnNhse1FW/3o/k62w7e2xUqP0XfMZau9xxrrnS3XeC1z1lrP XWe9i+U6z29ju3DuButdLTd4PnPiT5670Xo3y42eX5JD29oe1Lv73KvstxW2 He/OvLnF6+jPBbY3c99Wj/9ivacl28y5rNvMp8ylzLnbvI7yV89n/t3u8V89 1strmJeZk5mrdybK1795PvXfPaev+37z2l0eY05njmNOZM3d7fPca7nba8lR 8n6A5d5EXKXcZ32/29m2x8+2216vyfZ3Dvlb5CvzdY4l3xDk7V/WOX58qD3E fX97Tp73yvV3ttieud6L44zrxo7tE0KxwX7W6OOAST4Hcz1tMML6o5ZlrJe1 zrm1Qm3q7Es8hwjXjJHWn7BMrR9mnXNPDLWps6+c5xDlXVfyrfN9cniolnOc 74bqrge1Q2Ps53hFz2edqOR3yxGht84o91V2P2OYMcm8VDJW8s0Knl8ntJ46 11R1rSqwPt6ymvUjrXNu3VCbOvuO8hx+v4r7T/c7mTm2yPfi26lm6J3E+fVC berHhvzHORw/2np9v7voU7azXAvJtX/t55NC6zm+0NwaYk6RH3meW8v+pW9P tI/on9q2M21cxzbJ8nn4Xd6pru/Fu9bzmXnGk/zd00I1knXlZOsvJ5KnWm8Q us8k71/fNZuygWtYdduHe3KM9Zu1mzmXdYp1rOQbUzzeyDW+sfUXE9mePuDv lMn2xwuOnYaew1zN3Mw8zBzDXMO8sQ7jLUN59bg0k7kmVIvuhjwhVV7oAv3d UC1py++H6sZFGH84VC+Pgd4xVC+rQK+YKu8cBdkuVMtrQu8QqoEp9DKpznI4 5GGpctnfGN8fypFtaI+Qn2mvZrbhB/xmqA6xr7nvyLfMmbbDPsg/Qjm6N22e yv+d6fdUfOlOn6biS0/6LhVfBtP/Ufp2OsN7ZjB+MJR/q0K/LfQWKAf9spA9 24fuyTteRW6negvzfuV9x7KQl4ZyeyPofRz/t4f25Z53hGxHu1WCvDyUw++E rJ7qrb0Q+s2h98sp6OsRymv1oHcL5cr3IHND76HFkLeG3iZXMCekqhEfQZ8f eh+U1CHWqxnomxl6f9TG3E6hPH41YzDVO6YW5D2hulEfeq9QTqT/K5sDs+wb crMfZNNUcXYh/RyqLy3IrxA/v4AcFno/XQC5JVTfz4fcEKrv5Oxq83YCZOvQ G+ccyGdDb5LzIL8PvSsuhtwbqsUvQl7r2LwIcleo7uRAjnNc094VUtmcvvrX /qqGvgdD7z/6PFL5PSuVXWiTGql8T7+/DvlQ6N01lXHp2LmEtgzV8WmQ54be Jn0hG6fKT1OA68xtxtkkx9rv5GCoZv5Av4XeWEWQeaH8sR1ya+jt8zPkxvBb CXJt6C01gNxOlecGAWenynNrgJWhN9l9kC1S1Vqeva3Pvwxyaej9x1jJd7y8 AjkEWAT9JcjrHTsTIYtDb615kDeG3pj3Q44NceRVyKHA54n6Rrv/acgLUuXW p2wX2mRU6Bvcn7kkcT65K5SPmIt2mGfkWKtQDJD/Tcj9UF28JRRLjKPm6O8f qnkHQrwhZ85C/8BQDaNdt9m256I/O1STmLf+DOUu5ol/QrmCfFliznwD+W3o Dbo7xD9yj3H8qc9wKMQPcmN5KDYYF8xne0I57ccQv8ntRfRJ6H8j5u/poRxO juw0T8jBI1PxkLH1eSi+FkDeEPqt9mUofhg7v4Ri7///uCDXmzPMJeND+YS1 pZl9cSH2HhOqjeTjCnOSHPnKPHkL8s3Q748rQ/WDfC4k90M1bzZ9HvqfYA5k 19AbfVMo/hn75PJm8/mBUI7jecjZVeYtOdvSvD0vVcwz3v8D9xi0MQ== "]], Polygon[CompressedData[" 1:eJwtlXmwl1MYx3/ueY6EamSJ6na711WJyJU0tkFN/WFvZBvLSIu2e2WpMGP4 w75nRpGlYZCEVkp7IRHtMcVkN9nSJEum8vnO9/zx+Z3vc877vr/nPOd5nlM7 sKl/Y1WlUrkHAh7mpyFXKq0Z6+ANWADrUqXyMTyFPoP1ToxdYCycin0UY1v4 AD6CL3h2SvK7z8Cy5G88hD6R51sy1sIjcAr2EYxHwwSYAit5dgDsk1Os/4Zu hE3YG2Ew+iu4T++xvhddjX4azsr27R3mHmQ8HvtAxo7wAByLvT9jDTwKvbJ9 r4cL4GzsroyTef9ZxkkwFz0ITmDtZuxW0AL6wnPwPmsLYQt6MwxBb4X56Lvg 3eQYTCx71N40dyH6HL7ZjfFl7HvlJ/ZudHv054pleK/65kXoc1nvzvgK9teM W2Eo+hv4Gb0NhqF/EOjv4Ub0d/Aj+qew1jPyvR8sTt7DZPSLMC557jz08zpX 9Bj9B/rb8H/pm7PR/WE5+lNYofOEeck58Av617Avw+EP9A75gB4BPUuOKbc2 wp/oneG1bfA6eiqsSPZpDvoq+BD9GbyKfk05Jw1fKlbh2CsmT6L7EK8ejHOw /2X8B0bKN9iO/j3sm3zajf4vvDYKzkd34P2/0WNhL/ae8Jpy8n50J9ar9Bzs gr/Cvus/7kYvLPtTDilWi2B9cszeRs+CVdordMuuEdXGQTAQ2jE3i7WZ0D27 RutKDtZgD5HP2hucnF1TqqVDoT32DfKJtV3QBbsRuxlk6JpdIx3LXA/sMYxt 4HA4Hfu07Fpoh/2W6ioce/mk2h8XXlMPWK5aUN6yNg1OYv3W4sshUJ2dU8ol +aTcv6OcjWrgGOyRjAn2K7l+Z7iWlfPXyC/mlih2cGZ2DujsOzNerv9hbgH2 m9AS3Qp2okcn967x4WfVw3pm94D6sucW2AfDTcnvNFfvgB3Jc4HOsB3dBHXo 4by3D70HemM/Vmq5QXWn2ofV2GvhOvSRPLMUPT2519zO3OzknnMAdrPsb+s/ lbtPlFpXDg8qZ6qzVE52zu5pNSVm9dk52aH4NDNcY6ot5dhqnV24l22GNei1 Ya2euhJ9abh3vwet+d4V4VgugivRS2BDck9YqrXwmuaOU+xK7jaHS8I9Qr1B NbAYPQ3mJ9fA3HCNqbbWaK7kkHJnC/RCrwtrvTMjXDOqlU+Se830sFbPUayH hr+lmD8ePpOGEuMBeja8t6nwEnoZbEruMaPCNaLa0B3RBn1t+KyUc4dhXx3O vRnwQrhnq1erJ9Vm30nVpSabwjFRLHQHjQ7fIbo7dAfeEq4R1Ybu3NtKDar2 dCcOLjWu2tad0BZ9fbgXKIdWoS8L70U5n9SLsu9K5eiwcI4qN3VHjig1ptqq KnufF85NxeDi8J2mu0w1/D+SZxDz "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWPmbjmUU/izveUmUpZQtJqX9t/oLQhj7vgwzw4wxYzBZZ2zZmbFvZTf2 sZMlS5ZIJJJIRJYQGbJElOi+r3PPNd8P93XO97znPc/znHOf8zzfWyOxZ7Me RSORyJAikUgxyGkWiUwHNgSRyFCgNlAH+AaYB4wEhuD5u2Ekkgf9a2AuMAJY D8wGhgH7gDnAcOAQMB8YBZwElgA5wBFgITAGOAwsAEYD3wO5wFjgR2AxkA38 ACwCxgGngKXAeOAXYBIwETgLtAGSgLZAfaABEAc0AhrreT096wA01LN2so0F Osq2CdBJsikwGWgNdAH2yA9/x+t5MyBBsjmQKNkC6CzZEjgNLAMmKC7zNe8F rTsZuAa0B1KAfK21G3Bb+0kF/tJa04CHWmt34LHWlA5EzNfUAyhuvqaeQAnz NfUCtgFTgAxgGvAx0BcoA5vSQG/oM4A+wAAgUzptyuF5WaCf1hurmA6Osn0R z18AsqB/EjinyK3Z4shHgfNlhGJKTo1UjuYpRg0Up9Gag3wZo7nIo7HKY644 wvyRL9nKH3mUozyRg+OVp6XKA/N0WTzoCgwC+msPzNVE5Y/ra6O8F/Cjo/zG 63esYtFO6+ug3w001lbr66hcFvAmXhxI0hz9tY6BWluy3i3gFt8h57toPQU8 S1Qs4jT3Ne2Jc5NLKVoPedJdayaXUvUOuZSm9ZEnPeWTXErXOqcGzhlyZXrg vCEnyIVMcYNc7aY1zAycQ9wTOdVX7/KdTMX5WYxvD5yP/D1Y+yd3Bsvus8B7 Ezm0Ruugnx3AF4Hzi3EepTzM0hj5Rj6N1PMa5tyrJ7vRyhUxRvFjXsYHhTVM DrTUs7HKITFOXCCyxQUiRz44xwjNvzfw3tFKfifId33llnnfFHh/naL4TFM8 lwfeg5jvzcDKoLBeacs6Xat88L0twCrFnfPP1TyvYO/VzH311/MBiuunitXW wOuTtck4zdE+GINJigN90FcrxW+B4sfY5Co2jMdixWOj9tBFMVukmDEGyxQH xmxJVOyXKk6rgRWB96hV2mdBbFZGxSBPNjNk10fP18gmT75oQ26sC5wfXNcG xTfGnB97FMvNmof+tynOU5WnKXqf3CMnZyrunH+37DMkt+vdSubPMrSnz6V/ GTiPC/xRryu5U/o62dFmV+DnLs9ccpZ9sJHywrW3Vg6/isrh/iguHAi8Hthj DwaFZ9G3Ufn8Lsr30ajcHovK4fGoPJ+IyuFPUTn8OSrPZwLnEbl+Vus8Jz1J a96qfZ3XsyTJXwPnD2vlgnxclJ4seVH2v0lPlrykcfbBy/JxRXpXySuy/116 V8mrGmffvCYf16WnSF6XPfnDOmft3NB4iuQfsmFPzJe/P4GbQeH5fkd6vsZT NMZnqRq7pfF7epYqeVfv3gceaDwwP/vZx9nT2evjZEM9TfK+7P+Wnia721ov fdAX7xI8Mx7KH+Uj2VP+I53nxGPZ/ic9XZK/efY8lc7xf/V+d409kV7E/Ozh vMXMf1OPSE+XTVHpCXrG+RO17gT5fiifxeWD46H2xfjwrOF9ZQj0kubnH+9I rFeeT6xjnrEldJeizTNWeKcqKZ11znOu4C5VWnckoqzOP8pyuhfxeRnZPCed Piqb/6bOsedlU0pz9VJ+TfvJlN8s8SRffMjS3vi8KmRF2XD+CtIrau/UB8ue ceDYS9IpX5bOHlNN/b8KZHmtjf2MPY49bbv2wPVz7VVkwzmraq7yigPH2QNY 56zxyfLP/sD+xZ7MmiroWTzHA/wXaWNeB0WhtzKvpxLQ25lzuQz0juZcmw+5 0Ly/lsJ4B3PeNYd8Yl6fDSHvm/ea1qyd0OuqJfkWeu015XvmfWEt12V+fjaG fGjea9ZArlYveBPv1TY/N55CtjDvDfcg75r/j+kO+VboZ04383doPwv6q6Gf KyOhx4R+tlWE7GLOhT7A26Hfjx5Ab2TeOwdCvhP6+fYGZBJ+VwceAU3Me+Rj yGbmPa8sbOLN62wQ8HroZ1St0N+vrrOFueB9oDM5E3oNtGcthF7/baGHofeg 2eZ74PrnQr5mfpZNhXxf/GkAudi850+CXC6bGZCx5ncHruVD8/XMgZxgfh6u Y3zM7y4fmPulT/quK50xyDKPQz/IZeZnKn1MlB/Gr7d5DGtCzza/Z0yBnGx+ 1jI/dcxz1AOyWuhcTgMqh87xTqzT0PtRAusi9PqMA0qH3tcyoNcIvZ7GK3+c d5E5R8lP5nmUea75n3uo+f0lGXKmeZ1VwHiieQ9jTmJUI+9hfLj53ScFcol5 LZKLMcphJdikmveXYebv0J6xn6v474Pcb34/qGfOdfL8POvD/D/6ScgT5v/d t3Ee83vGAsia5veiI5BHze8TV8k18/tBdczZy7z3rAAGmN9rzkCeNv/fTx85 8rMTcof5twfmar3itgtyt/mdZhVkV/OenWfOLfJqL/dt/j3jIOQh87vOFsha itsB+jb/bkGe5ioOFyEvmd9vbkDmm99pLrOGzL9tXIe8Zv59oir2lW7e244z Tub3p8Oc0/ybxzzmx/yucxvyjvnd6BR9m9+xNjLP5ne4s5DnzO9b7CtbzfN5 jLE3/6ayGXKT+TeYW5A3zb83sLbqKw7/A1pmWo4= "]], Polygon[CompressedData[" 1:eJwtlnnUTlUUxl/D2TdRhAyfT7EaNM+reR5Qq1GleRIy5PvUWg2alCkkqSSl AUlUSsZCZAiJZEgihCKEUISi37Oe+8dvnefce+59z93n2Xu/9ZuVNikpWygU BkB5uDQKhepZoZAxlqZCoRNjDxiB/hBeQPeC/uiG0BldxPrKjHWgG9RlXo2x GE6CH+F71g6CI7jXhflH6HGwBL0MFqB7wPPoeqypqffAtfAXrODeKvgF/Sv8 oL3A1egn4QP0KNiI3gI/oV+EregdsBzdG35Db9Ce0L1gOXoVLEL3hC/RU2EW ugvMQn8r0N1gBnoadEXPVkzQw+E59HjoiO4OH6OHw63ocnzPNvQOmKtYwDx9 a/K7ZsI3ye9coG+D+ejucDjPPsS8FtSA9uFr0opRf/12+GzGwkr0KfBe8jct Cr9T7/oO+qCPhjfRI+FE9MLwvYFwEboi79+LfhC+Zn48vJO8xzHoY2AAejo0 QL8d/vbG8Dv6NHg/OcZnoV8Ln01zOAe9G9aiW8IF6JQ5Nm1gadgT8oI8sxl9 OgxNPtOJ6GPhLe0NzkbvDHujBZyPLsv7tqJbw4XMD2C+C90WzmX+L6xHPwDn offDJnQreB39TPjsxug30SfD4GSPzg/HTLHSGQ5EvxvOhc/hKvQwmJzsiUcU K/gU/YZiGPaUvDQHLkYfzP72o9tBqc4mnBv94FnlCkxBF+VnMTv8rM6kYe4B nX1feAL9KnyWnBN90R2gT/K1tehTYUhyDn2FPk5nmOz5OegT9E3Jnl+c57By V57UvXkwN3nNJehD2H85xhJ5LOxxeVtrrgjHVLF8BZ5Gt4TR6GGKGXpS+Cw7 w/XoXbA62SOPo18Oe1Ux3Rc+Q53dRvgPfWNYb4Ap4RxW7s5M9srksJZn9qBv gHWqBVCZvd8jz0AZ2Bv2qLypNVUyn5HORmv+CXtOXluT7M0/YVmyRyux/i7m +7Q3KJPZY/LWluRvuy78rL6xwP2bw/c2w9/hnFGurEyufdeEtWqgcu8LmJGc gxPCMVTsdK0q77uPeSiv4CjmZzI2VS1hPJT5/YwHQgWolvkMdXZ6Zki4pquW T1COMNZiTaXcg7XRbdFV5Fuoz/xhxtrhGlXMvISxOlSFGpl7inqJfrNf2NNF uQe2hWu0arNieFjmHlA3f0dXOJJrnyT3jDqZe0xxvofR8jp04t40uBzdgDX1 wv46KHNNUy3TmfwR7hHqDUuTa+Go8LOqiRVYfwfzPejd2nPmGqLaoWuN0CNg anJMGyu35XF0R7gMXZNnKjK2T86t6eFeoRxTb3gq35t6RJtwTBVL9VD12tbh XFHP7am9h3NbMWga9oy8ohp3UzgH5H3VsCZhj8vbqnHrwz1PvW4JjERfGd6r erhqwbrwPdUE9Y7VsDi5h6wJ91z1Wl1rEc5h7V8xVm38GRYm18gV4Z6qXqpr Opux4V6hM2qXe0Te0H+Ee8M5qNxTDekNjymHk2tmcO825juVG8m9ZVP47NRj ssw9RL1Da9Rrb2G+Pbnnls/cE9QLdG0o+iVohJ6kd6AfDeuJyV5vlXtfnt8O Z+iZ5P8QzcI5ptzSf6S7wzmvXFcNvz28Z+1VPefOsKfkJfXU5nkOKvfkkfEw Ltw75akOec4qV1WzFQvtUXtTTAahB4d7jb7hf6OqWvk= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt02dbzmEYwOG/PSoreyUzkZW9Qx8gH8HhNV/CKpQV2VtRITt7j+wZ2Stl lRAyz/+RF7/jvK/rfp5Xz/3ETps5dUadIAguqbvCcwM10XRtCmfLdazP9WzI uWzMDWzEjeF3OI8R3Mym3MJIpvKlXuuV1uqxrqil+2y2YA5b8To7cic7cBc7 8Sa7cQ9juJexvM3ePMBePMg+vMO+PMQ4FjKedzmQRzmAxziIxRzKk0zkKQ7j fY7gaQ7nGY7kB77Te2Vqsl2ypmixeZnO64LO6YEmuVvEpSrRWSXZZfC5xjiP 1RCdMA/mcd7TROd0vlW5ypRg118LnZfosPqZj/CZnmqUebR6an/4W3Mfe/AW u7KAnbmbXXiD7ZnPtsxjO17jE+XqqibYLWAb7mA0t7M157M5tzGKW9mMaXyk NSrVG73QZdVzvzp8i1zFuiwKah/nSvxRlv7+f7cPtUIXtVzjfW6c5jj/0m/9 0E/VaLaq9U2f9VVfNEufVKWPqlSFvislqP1//APdjGr0 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{327, 326, 330, 764, 755, 756, 754, 758, 757, 652, 760, 761, 759, 763, 762, 653, 766, 767, 765, 769, 768, 654, 742, 844, 729, 753, 677, 751, 676, 752, 651, 329, 328, 327}], Line[CompressedData[" 1:eJwl08dyzXEYx+F/EjWI3gnRa4geLRKd0cLK0saOjRtwBdFbRMtMiOhdiOgk SHQmapRBlAuw8rxj8Znn9545u/M9WWvWF65LSZKkXms9Vis3NUmKNSotSW5y BG9wJPdwOK9zKKs5jLs5hNc4iFUczF0cyKvM4hUO4E72ZyUzeZn9uIN9eYm9 eZF9uJ29eIE9eJ49uY3deY5deZbduJVdeIadeJqduYUdeYrteZIduJkZPMG2 PM523MRWPMoWLGdLFrEZDzOVZUzjETZnA9NZwdY8xjZ8w2ze4mje5hi+ZQ7v cCzvchyXaom+ub/rvsa77/Gg9mqCe6KavH/ql0q0wmfvWKNJ3rWczOVaph/u fSr0fsCvOqT9Wumz93yoXO+pmqJH7lId0DT3dP32/qOPWuX+wJms4wzWM4+N zOdjzuITFvAT5/ApZ/MZ5/Iz5/M55/EFF/ALF/ElF/IVF/N1fC92E5uJHcW2 YlextdhfbC/2GBuNfcZmY8ex4dh1bD12Fr+d/vovNKlBtapUhUpUpI3akPL/ f/MP90phdA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0llTD1AYwOGTfykppeuY8SGyy5K44IK0KqLMcFXjAyjkOyAZy1VZpmxD KmtF1kLZk7JkCSHZeYyLZ35n3jPn4pw5U0rKs8qiQggnyI2EkEMHm6JDqGU7 O6jkNBU0sZNmDjKVoxyjniM0kMYlLtPGCtrJpoMtXCWHK+Ryja1MjAkhT5M1 X1O0Sg9znnMUsJslTLJfqqm6TifrUj3Fek6ygUYusJ9C9nGAOvawl23MdX6x 1rCIZbRykdvcYjqHOMsZsjjOclrYzC6qmcYNbnKdLjqZQTc93OEed5nJAx5y n8c8YhZP6KOXfp4ym2c8Z4CXvGAOr3jNIG95QzrveM8Qw3z4d28+8ZmPfGGE eXzlG6P84Dvz+cVvfhK82x9dwBjrCFHEEE2GeazGMZZ4xrHQPEETGU8SE8g0 3+g/llLCWtZQzGpWUUQhKykgn7zI///8F91CaT0= "]], Line[CompressedData[" 1:eJwl0ckuHlAcxuEjvl6BqWVhHqrmqSiCdkGTkliK8UtIjB9qLhIL89CamliQ iGknseAaXJZHLH55/m/O8mRGY12TcSGENT3Gh7CkVa1rQzs60JHOdK4LXelG uZEQ7viiFff921bjhxCO2cATNvE//6jV3clb/dMP+4hnWlaL3cEbHeq7/Zen WlKz/YvXqnd/U50W7a9cYC0PWMN5VnGO1dxnJWdZzt+s4B7LOMMSTrOUuyzm FL8wxiLusJCTLOAEP3Ob+RxnLseYxy3mcJRZHGE2N5nJYaZziBnc4KW69aRn Pein0rxH+YmDTGU7P7KfyexjCtuYxF4msIeJHIi8//krm6A0MQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1433, 1349, 1431, 1571, 1711, 1608, 1710, 1609, 1712, 1651, 1835, 1652, 1676, 1675, 1572, 1695, 1696, 1694, 1698, 1697, 1573, 1692, 1703, 1679, 1702, 1654, 1701, 1655, 1678, 1677, 1691, 1653, 1433}], Line[CompressedData[" 1:eJwl0slTD3AYwOFv+JU9Wc8OSsq+ZCcdmkFURJGtnHEUf0Qpjp1c1HAgogjZ Q8i+kyQksqdsj3F45jPzXt55Z97RBVuzt0SFEGoojISQQzHTokP4xGc+8JFO ptLBe97yjnam8Jo3tNLGKybTwkue84JmJvGUZzziCY+ZyAMecpf73GMCt7lD E7e4yXiuc4OrXKORZC5zhYs0cIkkznOBM5zjLOM4TT11nOIkiRznBMeopYax HOYIB6niEPGUsIvt7GMxe1lCBZWUk0A1R9nPAdKZTikzGBMTQpHupowd/24z 26lL2UMKX8ngC8v4xky6WM53MvnBLHrIoptsfjKb36zgFyv5wxyi7MzRoKu0 l87VPrpae2uuRnSexmieRusa7avztb+u1X6arwN0gQ7SdTpQ1+tgXahDdIPG 6kaN01Qdppt0qBbocF2kI7VQR+hmHaVpui3y/7//Am5JZoM= "]], Line[{1430, 1399, 1403, 1404, 1405, 1406, 1561, 1650, 1825, 1649, 1823, 1648, 1824, 1671, 1822, 1646, 1820, 1645, 1821, 1670, 1819, 1643, 1817, 1642, 1818, 1667, 1700, 1640, 1816, 1639, 1707, 1664, 1686, 1638, 1661, 1637, 1832, 1831, 1604, 1830, 1660, 1672, 1663, 1837, 1662, 1687, 1605, 1833, 1641, 1673, 1666, 1838, 1665, 1688, 1606, 1834, 1644, 1674, 1828, 1669, 1826, 1668, 1827, 1689, 1690, 1647, 1430}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c0Ft7jx1EqI4oiyQjJKBUyUr2jEkIlwicplRmhklJWRlYIyUpW2Xvv vcnem+exPR4jhdLP73v/ued97jn3j3vPfb3e9+hDczV9KgoKChIlBcX/z5Si g2x+z+egtGgsrOOzhogLbDlzn+aQYP5Q9t7VNVglkaUurc5h/7f9FfnvfqLE JuVEgNo8dkYwHLdsXIXg4gfXkbR5VA6bFkhxroI9jmGAvHMBHubHfa54riBJ 2CV6QWsBcyKaJ0q2ljHCyBHzI2kBkY0yu2leLeNh/wN2LwoSZr9LngpZW4LK tzdFHOokxIX/mf35eglaKffibGJJCNI/HZ9MuQQDz4Pnjk6Q8OvRzOuhZDIu fQ/jjuFchIygwYFfd8n4+9fe/p/2InbSkoIG6MjQ7yEpn/q0CJsMx/JBm0Uw /1y5eap1EW7WMT6CYyRov9Bcnu1fhFx7k/2rahKWmMdaY4iLmJbdcWs0noTC U/ZEHfIiFvJSCh54k3DehE2QeXMRoeRnVuvPSLCvF1M89mcRf8S55S5YkLDb zP+x5N9FeKRfVXY0I6HujcQbxa1FmFu2+VebkNASpeXSvp3/RpNqDI239/+n 5H333yKiLj6goTUigeJ/gwyD/w0SokT5JNW286qM42LFYxJUKczMYrbzs76v 3lyPSPjKZOd4n5oMx8a79NTXSXg129bLRkvGorgL9V9REi7tGbPoYCBD7U+2 0m52EozZH0kkcpLxy6pF8FDjAs6FjSdyCJPRJuycnOO1gEQ6ChMPSTJ2/Ei4 36S6AJO4XVi6TEbYSDD/nf0L+EJj+vvWTTJyoqwpb3XO45bLF0UKYzI0U3p0 vO/Og7AjOsffkYyL3He5nhLm0Kc850YbQkaio5fcwNM5XP2rtfEwg4yH025z 5Ruz8JHREQ9tIENs2ecRo9sszsv2tl5ZJ8Ob6+KVraQZbAbQTukeX0LStfAO u+5p/L0wXdynvgQxtpuXj++chpJezfsYxyUcGdoRH3x2Cl/TVm4lJy9BbmfR wjuTSagmSa6O9i5hp0cBZUgUEaOLfG21TMvgoTkibR5AQNtWgGWh0jL0HP2D r3pOQKs566GtwzJCk94pp7mOI/cjZ1l95jLest/u03UdQ4dOzewdwjIOv10z POIxio12T9Wu/Sv4M+/UE847gkfFbRcXZVYQ9yBRduXcEOTLDrA7WaxAgfDm xM2wfsi6SS4mhK3AKpXRhJGxF92PBQsvl64gi/l0lO6nLlxU6Wo40rMCw2LT PTKiHZCJTu+hnNjeLyim495MK6g6P1o1jK3AzQHNAnbNCHswbmnevgK/dQGN TfN60D33MMgvWAGz3mU/P80aJIp7xWQEreC03FSy2OtK/Cf95bGS6QrMd3fN u/eWwUx7uCDx7AoqLc3Ud5OLcK3WZkP25zKcwxIPMqfnwSCc0zg3cRluqv0a WctZCLeVal3QXkbCb8KRY2npeMtSRcO+fZ7dh1YCf5SmQFjozUu+miUEZopM uKQkgC+JTJf8cgmHnkuwV3LHIqUkWEqTbwnRbQl7uWljEJLzsL60hYygVstf tLqReCX2+9/r12SMm8tzvuQOx+Qln356HjK+xj+QYxYKwY5R1z/j/otgEGuW u1cZCK3V3gD+ZhKSKO33xzv5Q1tyQbxyFwkVAlUf79T5gr/hrLOf7AKazYwN JH97gVX7zJVrdvNQyxT8+pnNHby3nIYsi+fwLO77r4PdLji3u5DW5d8swsxf 9JCYnVB3uFa5/8osngQ3esUUO0DFvXU9+8MMhMQfm+S8s4VIj1qHUv803oVa yLpz20DJrIqzWGgaFlOZohfOWyM3YIvswDYFqQ/+O5SfPkfjjfmqGKZJhF3J 2sVlboGEtXZ/ERYijjW9MUxnN4VCKj/7Tj4CEk7FM4kqG4FVeK5qVWYCnnp6 zkrS+lAnO3eU3RvHmRqmnJX8h9DVEvbmdB9DHIPOX4bUB6AX+7pRXDyK3ydf HUuh1EWmlyvr57URrD1njKE+dxeDH3w4CO+GIR5pc751Vgsm123oNeYHQeyX OL676A447p+v9TMZwIaIlpPCT3Xc3ONBHfWnDzrDU7md727j/VM1K+/IXhw1 K3hmr6GGSd758SdaPVDWMCzz0ruFvtXDM3e4u5EvcOr68Jeb0Ei1VrX63Ql6 LeNNzR030T6cqXfUugOl7eIbHc2q+Mb50OjB/nZQUS5ZqO1RhZQRM//l6lYM HXlzNu67Cs6Jfcn4ebQFy/7Cz26Eq2D68IZjKrEJIlY6tkHTKmj4brnp3d4A 88ayD+OOquDn3tvwnVgHRcXUXweNbyBpp1h5tWsNCOInE9W9b4J4ODafpFcF YZLrRn7mLUSkr1RFWFbAnvp92rrwbYQEFTuMpJWh67mv9ktKDRiyLauqSpRg ksE7cEVWE4zZN7gqtQpx4IUIE8U/bXTyPBPMK88D8XhGi6fqPby+InTlR0E2 RD/aCyr/p4c/IeER7gcy0a798o1Ww2P0394wOliZhr9Kgiw7hIyx/E5wVPhV Mp6Fsb0uLHgK8/IpyrX5eDwKzzG3nn6G6kKd16md31HJp/Bfkqk1dCMrKu2O xkCq647z2ClbPIza80O5NhIHOk+ujF19B6dj95w5rL/C70vIK491VwTDdeHE bChqizhesfzxggenvFxbTxB2cSZ8Etfww0emss1TooEgdjT+13/+MyK+Dhso LvhjtOMCvZrdF/C02WxQ3/RDrczWfsfVSNA4MYpem/ZFAW2g0aXBbzDDmVm+ Rz4w2RMv0hGcgOSX5j02aR+QVkd+pM6TisLS7xwh4l4gWkddShPLQH/WYILA vAey77qpnpHNxuHBvi9HOt2xJ85AhrU2b5vPWauZM27oHPy5j7+jCJ25OznN hNxwq6Mw9m1+GXLNEx5TBLwHebJmNF57m2cn793/j+89NkhfNCNu1EB3/oLe 5z5X2D4yNXf5Wo9zd7h8enNcodwYr6/q34RwPufWJwmu4BL88qausgUUrHM9 npmuYHZ/bNf6uQ0EW0ZZ5zZXnPTJr9lj0gFS1D6l9B3vsc/jU8LDO13guNcf Y6/4HjFptH7T2j0YnSu7bxr1Hto3o06PWfThZGtL104GNzjzG7yeCBzAniCG qElPN3h/AnmtZgg77RO9S9ndcdQ39EfJ5ggSfB69VSl2B9eBQq9u1jG8Vl6F roUHuD9eGQwTGYe//dKLFnFP0D1ocfPCBPzVPst703ohavnosIQCAT736U9/ XvJCv3pfzSt5ItoLD+b8nPkA+evDqe5Sk1g1czlSteINgcvvhXdyTGHXsSGv T7t9ETHAbzi9PIUHfRLVp8N9YTFKOhycP43u3XPM3Rc+YqX8xM5Oixn4/liM SJn8iPt/K0RiD83ib+srzAb54WCYgtbj9FlYCRwRpbTxx13nWHUv9Tl4f+yM 4DcOwNfJ+L9nt/1fdGdvUIvBJ/yqCKKt15uHUrvusO3zQFDNJOY2/JiHBn3k QKnPZ8jM7kuvP7GAoLWSD6eLghB8SaxQ1XYBMSwsntbrwdjTsRrZVr6Agwnj jIoKoXC0VJ5N31xAHlN/qfOvMJz3bHN5c5aEmqen/pysDEeOZNirl9v9iCOd XsrkTgSyGttM9d+TYFaV8JrpbiT6j1WoN0Zt96XaFV4riyiUME3akHNIaA5m W3f9HA3qkg6v6SoShHefDlBui0GQjfxc0LZnqu4LzPVzfofB1cX6kjYSYqKf 9mk6xqJMY2BodTuvc3mlb6zHIdZJ/lXej+3+9oyqk94jAY2qgVRP60j4d/St clN2Eh78NuiXLiJBY2iM7z5DKmRPtJdNJ5IwI5Kl4NeYBjNnxn2dn0lot06V GhDMAKWtYrG4AwknK6RDf0ZnIilOy05Qn4TUG4XlczLZUL0g41EoT4JI6Wj6 1EoODBr3S47zkXACgQSv1m2PZ1L0afxbwMrp8J2K7QVA3SfeQ90LMP/28kzq ZhG6CGPhv+IWcDGy2tbyRimYH3yYyrVeQO5ar/2p6W0evpXUYJJbQLlUtmXa pQoUv5i6k7N7AfnLMdyFGZU4lDgXoFg3j/naVruVh9Wwyor0kLfd/ieok19R n62FSss1OkXheZjZRD+cEdp+lwLp+tltc+iIHKDykm8Ey+Gpf6Pmc4hr+JBS 7t6MB5X5ufup50ATg5yzay2g8p2Tt/WdhQcrQ1SCfBs8hLgqFPbPQpf/tlXE VDuusKfpyZjNIPkefcPR2E7EujBcSM6dxotu3qV1526ot1NwTpKmYBAYXLfP oRdRZfMVB/ZPobruo9DhwH58utp7TevIJAzlJ0dFKgdB9ddgtpWBCNoQb1kl yhHoOQypF01OgEekYLUjehTLW0LJ0VHjuMbKzf3hwRh4gkhmT8rGEGuc16p8 eBxlHFHr822j4DtcYWr1YxwD/RF8xSkjeJvHFDjzegKl1i7ZQVFD0ApI1qRk I8Chda+OoeMAWM8IOvS6E7BqaPHHoLEPKS6ZTvdJBLAXido40ffiE138zIkr RNQdMAx/dK0bTJLnz2S7EZFWQrtXw74TXdKe+jXp2xzQ891lydCBk39H+542 EREqXNweF9EGplO0To96iJA4n1eaINWKua3HvG/biOh11jeIz2iGbYdxf3U+ ERpaNJzSdI3bff4jz2cfIkK6u7TGHOpQT9epGK1GxL7WKwZ8bDW4RhjdS8NM xLzBiR2uqMJSHkeMci0Bdd+qDR68q8BOrgzXJXMCJFl4BjQnyoD+8q3UvQQ8 E/M0/1lTAnVph7sWkRN4IrHD+8WuIpAoYi5fPjGB205XAgec81GtTBrSTB3H 5NnHucWXcrHQVxlHFh6HzutqykLJbAi52e7Uih7Dv4D1qQyDTAzU2z3qYhkD RTeLymZ9OjS81iai34+im+ldWuC9NDyIQFTXwgjEj2c8aDiXgo6T/fYWjcPw +RZ/PpQ2CUR7V6vN+CGUUTZ3F/AkoMl/+h2H5yBmirwJJW/ikCQV7CtrMYB1 BUfmLoZYdAa7pAX914+d1LXO7V3fYLjOssBxvQ8L8adypBpjQFUcRBcq1wsT pa1G0dloOLakGUqy9SC0TWQsjTkannRS10s2upCqnfxqzTgKZhIpOxOmOvFZ Md7aeDoS934qWl0e7UD75RR1Fc9IlM8rbCQQ2nG4tFUk4UYk3PKuyIyutuHa LQtlCbFIHDZ9MlK3rw0i30lOcuKRuFBufF5i+56jTQWS429Fgo6W/EDyvx9Y iTX/LR4ViWQZxuf2xk3Ii/G15+GJQrjKl/WqsAbQczlTqrRHgdq04dXT5ToY GZ16mZwVDb0uLaoeo1rwlKbE3WiKwcFdi9NaW9Wo5eCnUeX4ji7Oq9Ea6VVo pv/A0pG03feTvJ0FblTi3ZOvhf098Th17lhK1b4KZMr19CyZJmFR5NaF2ZUy MN6PCTxlkwpPh27uHQulEG/5pL/4Ph09z5/fkj5ZAsZn93QvRmTCssVHmRRT BM3T38/c3JeDtPennWZvFoJX5PGu+xN5kDK5vf+KSAECXw/66BwrgpZGxkwl fT5aqhS+GemWYXpXVl+IcB7CG03YjzFWwo5ya6/A+1y07Ki55StSAzo/H8fG E7nwKqSx6t1VjxapvLhTaznY93iKquZkE7xrtZ1pxnPw6Rlrrl10Cw5PNweI LeYgdrhvojmjDWeeE0MSj+SiyL6OWS+3A7J+opO+xrm4SPzeKTrQhTPkX4q8 Xbk4Ik377PGhXugwxD2r0M3DVHuvfLRhPx68UfzAOZWHzIwhvwWtQRwbiqBz ccpHhy/hlN/1YVRo3o9rFCtAlGvjj0Mco6C/y5jU/asAEsy714oZx2B+MKsy qKUQtLp5baKbY1CKdm1mKiwCS8m6mvDQOI6Vyny4XVAMz05pYmzmBMKb3t+w bi4Bn3vlPSpbAmg2jlnHrpbibVJe5KokEWVHGDfpg8rw3CHrcvAEES/GHmjv uVSO4/eFZg3sJ8F40dnUdLkcvZoDCcfppnD6pgy9fmoFVCSMkhdcpyBSITTF Y12JZbWke7tWptA9m7G7y6UK3idO7J0zmMbr9TSbvu/V0JboTzKsnMbREeGs 1P4a6NtxGWzSzOBhI5vV0NE6bHSH50mfn4HRzyrz+bf1mLpJ/ynj7gw0mxdD DecbEG13V3rMeAaWLOrCvRZNsC2hG+U2moG/7V/6CtofuPusl/O75gymjU4X 1Qu1wohI9WZLeAY/C4xjQx63wfy1ZL/fzDSuS1rtOpPZDuoy6l0rH6ehJm3T kMvSifip4i0J/ml0HpaXOOjThXXByW97Y6ew7Dmi0cneg300l7WbDkxB8c17 Q5qiXtSxmVbbmU9i9919Qqef9mOG+g/FrxwirtTzTVKdHsRdJfrg4VkCqGoO bipsDSHlCk15PS0BW35xnaGdI7B3JD9WZZkA6dh8u2/3KELDtF8e3TuOuGSa s1zbnpEs8X12YXEUbfu2GLi2PaRA16YubDOCBllK7t8KE1gaD1BdejeEirF/ YcKECXjccbrr/nIAlIXSpg3bPObUaoxa0uyDR9g/VsOpbV6XuXQZCffAtkmx cGn73ovIbWZvNbvAcnLG2ukFEQ2DVAN/HDvQdYfhl3gIEe+SQ+41prbBhufh afnvRDiVxJf9bGoB+9lTV9QDibBQSzc+r9UEBu+mnwrPiQgvp2zqiamHqymd ZLcMERMeRe/lD9SCt5TfaGGRAA2nM2VWSVVIVr/uRedLwOFDFHHKzyqQIUkQ uMRBQOTG7QOaxmWgWz9373jwBOJGXLTZjxfD4AXLSDf1BOp3Uzl5jucjxIlb jv3dOGglqUVv2uTiRXKICcevMVSI1Ytqq2eDP+WXjaHBti9OPlz+ZZqJIYLN KfttT9u5FHq1l6aDSGep0yc9Cqe31PInFNLAdqctPUJ2BPPSU8VKVCk4f7c/ 6RzjMGKFD/iONCZiuN/0bPzwICK/3JRamIhHfPCMXl36ACIzWy4sy8aBzHKJ VdCjH4f8fB6fHf4Oe/Y9hw4a96HcWZSrM/0brDMHrciTPTDGmtSNRzEwfltG K2rVjRxS9rihfjS8L515ePJgF6TVBNysk6PwemdtaWxtBwZXBXUlxaIQ//Ge 85pXOwaO+AlakCPRSZMoyqbfBog7laaPRuJt+l/qlhutcNuYLj9IGQXPnVqT N4N/oNL4wBuGm1Hwo1rq5dFrwuXR46O3ZqLwh6fNe7dWAxi/1HbVVUVDm4JX JeZNHW6qUWS0E2PQd3Avm2d9DWj4bDtzb33HQOyhozdQDc8UaakYxjhc59U8 6N9fiWr9jyeSBRIQ59D8mym4AqaP5LOHYpNQd0bQM+FV+fb58EdcCUkF11U5 Py+FMjS63fp7fjId3247DJs7lUCuRdNb7UkWwjeJLxMqirBGyk87YZaLpRa3 xnTFQlxwGC+8uFUAB7hVbDEXQPQtvcp+0VLkWolx+nLko9701TkBhgrYpCiu DT/M2+6Z2fxZU1UouHqE2D6ai7/HzgnePlkHPiqdao+vuTirH8w0ydWIS0du mLTZ5+K1w/yopM4P2LFauDbb5sI/eeu17MdW/LzmotLkkwvfdm5vY9p2FMxr 9dEk5oLw/efmRZkOfFW9IZHTtr0+3x7w1LoTHlvcWd925EHt2p6Q8eIuNJtm ZKRdyoOcr8PL23t70Mp8NSjTLQ8Orie6lR73omSDr957IA/iUqvOAuV9yF25 zdl/PR8JJc5Jbo8HwG0ia8TdmI/rg++uf6YdwjID4Y2cdgGe0Tx3Z0wbxjwx YF1grQB93PORbQKjCD/KfLEqshD1ouxJNGujuGu57xa9ThEaVeqf8paMQe3b eAPFsWJIFJT/S7UfR3TxwoGLLCU42RexwqQ6gTm5HQmtbKVAu+MHyf0EVP15 Oz7HWoajnYUBhO2et9/1xoeLSWUY9HnxW8SSiCPXeEQ3FMuxKHmQ4xX9JEZV 5k0vLJVDoFmszih4EkmUpqrCURX4WhnmOcM6hcNZzTRzOpW4xv4vkM1tCg4O X6jlIqtQmRevY8s9jd4QCp2ogmpsbuXoTjhO4+UWLwfrZA0U3Gn9hpqnt/+P /YZsfHXYolNd66aeQci5UDl+q3rU/Avbc2mb7/9W0s8W9TWAkv+Pli1mcCHX IEBLrQnqGsFKA5dnkMc58fjFSDMGH1PddpWeQZO6SIeDYwv28lFWux6dQYD/ gW6ptVZcdj0sODg7De4xv6mRS+3YELvdJv1lGlxTAkUrER1wE2COpTk3jX3i UkmWLF24VWDbcbFiClPX1hb+RXTDtlE1R19iClaq3bzt6AXlZ6b0rMBJzD0o LXu/1IeewTw9jm2/hoRt7tqRNQD5hbhcXXYiyAZqtyWdhzB2kX/2EAgwehP8 fOHeCIpOxvwjqExALLg0oOTLKJr9m849uzaOO65n/hV7jCH38R6bJOFtzomv EM5YbvflxDc2wz9HoJpsNM5+fQKN5yzf+JkOYSPe8nzd+AQ03DLsO0wGoKWn 7mn+hIDGhvPXg7f9oCPIKjg5SkBYzF79SYkeMFN3xodfJGJzadGEjaELVISn l8lWRMQWcB3kV+4Ayar58MxnInRsakXLP7Rh7UxUDHcUEcTBG9N1qS3oZfKg cvQjwrkjNXjifhN+83CXvTEkwqdc1G1Aoh6BrXHDV88Qcf8r306bnhownck+ pThDgFL3UbqN0CroM3dXLPsQ0OJHmpN3q8Cw1jt3Tn4CQjd6HS9/LUNUha0F c/IEuu4nb12uLsbBMieLl/wToBVkupj8rQBK1yX2SQSMo9X66Xvl4VxcCOUI sfg9Bv10s6WwJ9mYy6Iy0NIYg0veSSE7hUxoqdo6siWPgqRpJ5H3NB18P/8a VVKOok9AOGM9JRXsCZL1FgnDUJ1LuZH+KwmlPgrkq2pDKBSS8mNNSMDnyJbO sb8DSIvl9fbNj4PF/ty0b6n9GG8Rk0o7HAuKfxpCdts+cL9H9Vu38htqw4aV Fk70Qrxq8thYQgxYfup7JZZ0o1iRHG4dFY2Ksp818npdcLZ3LA0dicK3kKdK nw52gt6CzYbivyh4p/4+/m+gHbuDP51Vp4sCc9Dt1cCsNpimTQb/IUXi5r10 R5GvrWi8XLQ+sO2DI9wjaS0SLaCuyLI/KheFSZXVbJdbzZA0EdngTY3Cfhtq wbccjXi5rsuY9CoaA+/2n5Zlr4cYp0p+kVcMhAqWT7Eo1IKJYf1sEPkbWjLn eCUiq8FT+4i1MjEWJZePVs3wVsHek1dvd108xF66i39qrkB2TB3lu1tJeN7e QioLLYfzv9EjWXdSQfg7y8vlVYbD3sYXFV6kQ8xYZTqgrQR1gzmbJNYssOr/ 2HpCLIK7WVrPbaVc1HRY71dW2ebbl+691jyFmC0veeW4owDFKe8Y+vJKwZOw P2rvjnw4UPVfo/evwBP/conAa3nIif7t87SsGg5rflu647kwZNAqvfC5DnFl opIx0bm4LpHedqm0EfwlIK67b3tHd215SaoF9AUucxwBuRil+vaQwbENlw7Q m/8sy8U8/ebOLI8OXPHf0e3BmIfQJylvd2V3oVuq+wO9fR5qdzG7TK/3oDp0 E00M+cgQy0+Ou9WPVi6FBsnQfBQPCUt/lB2EWVIXpdH5AlzdEfS0RXQY7Gk8 GWeWC3D/PNFli3EUVqwl318VFWJdh/HZGOUYWHQi7E6FFmHg+zmh9/Nj8Opf t9L0LkaQ7JxyRPM4tLUTD1AElkB/wc5AKHoCqjeEGuUzSuHxZX7r7fY7DzOW k0m0LIOP8h+lm8eI8Fw3NMw8UA7+lcuVxS1ErNt4jNyrKMeYYraVjMkkHjmn 3G63qUA667Kc/+okpnPMqi5crISLmp1uz9MpdAnP7m2nr0KX7LSuRt8Uer7F vAngrUYGVxZ1mNI0/NkWIo6p1ICZO/eMc8w05ngCaak9alF9KDzs/fQ0PlDE DOT214GdXS9Y7NAM6DfeydSgAXR813z3n51Bpsa0SV5+I2IduHgDL81g2Nx9 9YFXE25kLUcf2s7/HfnrJK3fDJxOWpOSmcH/AePMlDA= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c41t//x82GUQmVUhrKqBAZRT3RUBnRp5CZnVVEFIWQFbIqo3CTkYzI 3mTL3ivrvm33HWWTn9/3/HHe1+t6Xtc57+t9zvv1eD6P6T++Y0RDRUW1bWv6 /2fiOXPrUP8FnHLczqv1dhHhsptDYrELaHj9j93/6iI8/pyPNRlcAHtp5s+j 1guYbPx6+y3rIrrTLlUHlP1FWWzRrtdyi3iUqFu4cOAvLAv3x8o6LqLsSf1Y it0fWJQn65elLoJEYNrO1zuPzv+ChFaHF/GvdpB7THYeGd0VT0lsS7iQav/R +tsctJ6cWTc/v4QqFsFNL7U5RL8ulG/6bwmNky6Rl6jm0BotK8Nss4T3eqaL z5N+g5lOOfZE0BJGY4v6+VR/I95n3/E96UsQZDbWv0j7G8J8BTNPS5dgVDES 7JpJwcdawr3mpiXkUrYHiBhQ8NSFwsg1uISAjgfRbnspUBv3KNYjL4Hg/LHv UTkZPhSn88x/l9DFEeFa8ZkMni+dlOyVJTA1MP8W8CSjvIhrRmdzCTkf2udT TMn4b6ncLm2rHmr15GZ4SAbV/8YyjP83yHh+3MpDeauu9Q6pKTck48Pb54yE rTqPNHaRy4AM2SqBTLlty3hnEtSScY2Mcz2qwTOMy7hPoxOqwUuGpLPx57cs y/A4MqO7j5GMEXsBI3Av484jjy6NpFk8rSe9/CO8DJOwPexeOrNo5Hl8NVxm GTVeZXVirLMIiF59IKK8jBVhn3mDmhnE6/M6FOss4wbzfBST0wzuFDw8/8Vx GXXLRfKVU9O4Fnj9tVroMtotpUXk709DkfOOXlXmMtRF/x3yqZ1CvaRb1Hzz Mvzv3dj1WHIKDzbvLnXPLCOCzUxlInUSlesTAsrHV4CQ8UvfCRNgbp2i/aC6 Ar2Ph643ho3DxMW4J8B7BXsOhE71vh9DZ4n61JGCFZTt0xPwDiVBZt/rE0en V/A2rXzkfSQRdamn/1lxrCLGkkmsKXEUT5Skuk6prqKOJohut/YIgo2EGBf8 V5Ghskcl6cAwhO06ZYx+rOIi1wVPrpxBtKgaqCzOr2I2rVwpT34ATYdjjnAe XsMtDv/jBZRebB42/AuZNUgqFXw+/Lkb0hGNPmU6a7C9wGkuYdYJl9sy21Zs 1zDnGpxffKUd8WEbMhfd1pDyza4zR7gVd+qLinu81nDuesCm1YVmWAf57ONw XwPNg56om1d/gm675+zwkzWEzdz6+EunBm3qb9+919zaj3hwnsO+EquB5wkE yTX4TemN0leV417Avozfe9ewTUuHcVWxFCneFfFhw6t4+Sx2suRoITR8u9cG ElaxrWxag/FQLv7sHpzkN16FmO74R2bvTDh2Co2zH17Fgs1gd7RxOqxudOTd a1hB/2AaA61mCl5ZPaHk2q+AtrUn2f5rIl6PWu0+dHgFIrqO7ObJn5H/IfXP /eJlDByN1HG6RcA7L01ehavLYJ3O7cpJigAr3QKLCmkJ+jkDpGDND7Cl4FSP +xIGr9bL+OQHI5t34p7JiSUE7QvkGksJgAwL+YFl2SJkNyPif17yRXRcf6iC 7iK2CWveM/3jCYJh5R61jQVwhiaKvNJwx52640daIhZAuMDavF31Fd4o6zP8 ubgA36Ug6vHwl4iwiX/KVfIXl4PWvG2knuEZj2vi+tW/oCr2395MtkFX8TB9 xc8/CLLX5p19ZgUXnk7+KNU/MH92W69P0xw/3nqofR2Zx73spwr8HcZY9orh W7eah7jlg3nLUwY4Vm9a8Yl6HmZUHD9Pcj9AbZqr5/uQOWSZ7yNwqmti5mOD 3gTfHLwu1DdKXFdDtLBHX2DZb2gy/axsGv8Pl6w+Ef01f2OIJZpu5KAK7Hfa WZMyKAhnf8/HCwUoB5TAKpsMj4sUI4VXcnD67ZD3rmwWFmwlhspZV6C+4vWI r30G274s3fgaJ41e1har9dlp7O+iylL5TwqZe4f1fu2aBsc3O9ObVyWQUzYg Fik2hecBQ/PXyefho+5XyWA0Cc9tgX+5zgjDwdrQL8ZkAhQOygY5VwCsrtEX dtiOY3/BVKefBD8u0Iws/PIeg2o3+z/596cwq8Fz62ciCe/42sbcCSfQVZVz /1kzEVVyu9w0RY9hYc6D3p+KCL/lAlsV8yPQpxfYyJcYhWRA9ZoLxyGMSOw+ xrN/BMtFd47n7tqPLtsYh/fbhuFJVZrjN8+KEc+npxm3DYHC/MrK05MF1U6a HKf5fiG5/OvG5au7QSMux52g3w/OmTLpC9eZEB375OZQdi/W5M1s343vhN+Z yLmr3D2Ij6wWX9y2A8XtmuQfrF3QLJGvObBjGw4STgbECXQgkMT1wCuGDieu rYtrWreh6ZrnqV+ZtDjh/SgiursF/im17qm8tCAz+TU91WuGdLP2UwEKDVr3 aniL7G2Ey2BF9eI/GuR8D7bORD18Ji/MjBnSbnFzPoo+vQbE5OuJH47RwU7x 8rU63SrMUar+KIvRIz1uRe7y9QpoaI8OiyduQ/kQ7yaPbjmsyl9MH3LZAZ9w kUv1caUovfbcyqOOAWxJ7LsrDIqgyy7HkvR4F2557zO7PpcHQbX4u1neLLD6 +cRNYywbq3IJo2R7NjjrU6n2imXi3dljqUd5D6DALraJqTsdt7JZzL7WccK1 yod/0SUNd3/de1OhdAwKPNaK75q+Qt/4ueDaEjc2lxQeG3gmQPywvS7l4Wkc v2LZrD0Ri9EnQXHpHMLImha1e9YdDYbXl6lvHZaAWrh29n23j8g+/87VR0Aa 1N46NDnHQ3GsNPSMcO81rD1LnH3zOATmtKUfGJIU4cHAfFPydiDUl6Jq/0nc hfE11k8d//mjqrnR/sHqfdC8SYuRC/FBrNcXpcO5D2AsIHHkvZInkjbkHdP8 jfBp1dc3z8YdDyNm24Y7zOF5yDctZPEVfjecVPm3YY22KlY2qw/OiKhjVpyX s0cBvTqPRqsjaPwOhAmddMK5vnuVL2OeYYg71V5C3w3/aa/qUQ88RWLeiy18 e+EGlfP35qc2CBFv2i2+IwB2AmKDpvrW8Ih2Ez3wMQTCWpIEDZHHOGLy6K/E 83BYax6xMuKxgGGbg5vRWjRqFuJpj5+ywL0FQWWFjWgEnnFM+8VtgYjVARWR zWhkd4bZRJywwEX4eB2kJkC0nlpZ/bgFErku/qWmJeDYcPpV9mMWaFyeD5mk I+B9X6TO2yMWoN5wkc7bQcBKU3TPTk4LCB7SLvVmIsDkWWqWO4cFhq9ksGnu IeB5/QKXMZUFwt+J8GeLEaCn8feW5bg5+gLoVwy1CZiUG9sb3miOIisq/ofu BHTc2XN3JsscYtJ1JqVfCaAXYJm92m2GdfHcFmXeWOy9c931+zYzLPpt8y/5 8RkTXruzWqRNwXR2p9p/LvHwOB/965LHQ6zv/cZr8yAR3tRBxPBOEzCVPnWI N07CrsPszWFfjZFccD7gT1gqPKyczXZPGMGSf9jHmD4drpNZ6mxiRpgKe+2c Mp2Bya9mdYwZhrDSMQkpCc/EsWsf9lRIGKJd2vFhpkU2DO9OHxuvNUBQ3IGe LINchA594z5hZAD+aCvBuVf5kHFhF+FnMMAr0kxbQG0hPq2sEEKq9DHv+8dB trYYOTEXxKW99cG1Unwz16YUpgVHRbff0UfL3+f+YUFloOSmqFYe1Ufg5KOF mrJyhBSvlqot6GG7u51IKXUFJufcGr9W6mHO9Kfoi9xKsC35ckpF6WFp+aBV mm81pNpkb1S/0kNJ0q6oGadaNHRQqe+21EOX8+Ftb97WY1iUTOh5oIf3SieH PxY3wObE0Vyylh7eWqlp/6Fvhkifj8eovh4Ovipv33RowS1+9kleWz3cmvzr 7EvXBudH77ZbB+jh0O7c7bqEduSfFuyXStODQ078yq/1DpCk7x+Ya9fDf8ps HST9LgjyMPtZUuuDUcFs5kJrN8gE95qQ8/rw7w8scLjZC+sqN3aFR/pQ3PlT 72R1Hy6bJDx3TNVHsI6RevjNAXDGvmWLpDXAk1a//fGHBrF4dtHjh54B3gQI d3jbD+HCpaBdrTUG2GQ6tc/swTCkj0rqZm2d1ypLeM3c9RHQtWcE66QbIinp lHQq3yiWLt4/XCFsBHutFfFr24loyr6fPlxoBLVvzu9e/CJCh4VIVtY1hk57 +XfeHyR0MzS5GjKZgFWMKBbwaQxupDuSZypMEOt7X6jUYhzaiXRnS7buX5Jj 8eoOoQkco3MJkLxrisHZP+NrYxMof6FPqDpjhpvdVz8aB05idfGls+8ec3QU fcxWEJyCmU3J3tJNc+y+TWU0VDqFu+AoE/K1BGdrJZuI7zTexgfdWBJ9jGfb NLtvSM2gu/bm7YPOVhDYy3zaqm0G0xMS0/ttrCHlc69e6O4sXG5ybybZP8HB bR60XFvcjjnnxvnJzwZvpq/YFnCS0fRGmqE+yxYunFmT2lv5wOOgK/PJuaew Pzh+mO8LGaKBe7UTDO1x+mAz/9wIGU9EuCIl55+hmcaOOpaFgjPKkt8dIxyw VzOIi0ecAjHZno1j+i8gOJskw3GPAu2RiB8MN5xgcNqCtsWCAlKW0nA4jwva +ildZs4U5H8VWR2VeoUjx/4lNPtRwC+UUbLNyBWijqHZZaEUFGg/mb5EcEOs a2h0TzQFtUn76Xvn3dHX+sLifTwFRX7BBFlNDzDKhGVqJ23t/7HD7hGXF7QL 05tzkykAppt0t/vglm9CsGQKBQfL1vX62X0h2VxQLLKlP1XrPDys6A+nh+ea +75QcN7pP8b/7gdA9aEmg+7W+h8e1Ku1xAYij2gT0U+gwLxfaufNHcGg3h3I avaRgjLHwjYFrxBcXbwgtP89BX6T6hwGp97DVbCfd8qfAq2cf0t9xA9oYb/7 muRBwRtbx2SRqjCEE2jfb3eiYOVmjB97QwRsf2pxyG+ZU5pFZ0Hd9U8QSe3M TjClQHVmR1fg6WiknD6hvleHgjRCiMGRegJ4qFu0FxQp6CGIDbUFx6L64pDQ YSkKIrMi1eK941Dx4QqnAS8FGSkL/MRvCYgYzswP38qPUqKjnlK7knCz3q83 cJUM0zgXcmV8Mq64RcnsGSIjY2mpn9CQtpWTvBjzSsjYrxG++0VcOgIj7UXz Isjgei7TUBz8HYn6Lg8TbchYWVf3UcnOwroAm9BeOTIKqtvdFffmotB+It+W fUv/UCUkkJKPiWLGJ/g1C8sMYa1m3yJwS9cYt0TPot6j7miOZin+anWE2GvN gpezObueoxwJIgdXzPbMwinB1p2FrgKMe3Y5NRbM4OE3mXvMR6pQKpRbmqw9 gyerSeW5tDVoWvjF47R9BqH7NG5X76pDeRsbWe3LNLh7TkudkfkJQ5WTV1xk p3GjueG//I+N+FbcRTjbOgUFnVQ5r8BmMF/U2uGhNgVyRU5y6VQL1r7RG0W2 TIL9GpkrkqUNZqtMPwq0JlF+zGKflFw7iG5XA1QHJ/Do2oNhvzcdSHhNNO5T n8AVL4W39351wivJsuBbzTj4qGtOHkA3njM9o5cQGMdpsnfA7pQevN0t8KbJ awzUZ/kXOHj6oEyUYuroIqHsbti2+K/94PVojfpykAQRsgQc/wzAWEGDLsiW iOHMm8HBGEQ8PVfc48pR2G9rVWeUG8K1zHh5auZRqKg77jEkD2H+RqH7PvkR 7E15GfoiZBhmPTFn3zsPw/2wP9PYoRGwRtT0jDUNgWFoKUglegTPFXK3/+AY Alcjt5D/0VG85hEQzs3/hf1LoQNXIkYhPXf9EK3YAOpzZtvmdhFRct/lm1J8 H5omZdZnnxORIx7xpYepF623WrkSa4lYyCBaM+R2w/1Air48Cwm7ZFPjp3W6 EJtCJZh3m4T21KbLbTSd0D2+TajWjYTJH1JX7sS149bnRZJSMgmc5MQB0Rtt 0L3/foSqggR2Jk/b82db8Xef5cG4VhJqr3Wfp2FvQY9JtUTS1ncb5+B6PUbV jBNqmQS/LX09TWrQktiADJOLX4fKSdBr9BOKbq+H+Px2LqWtvHDmbcT2gx21 EAmgTo5y3ap3OVE7TFSDfm6OWK5CwrPOpPvnWKqw/sJDtYGdhLRPamGWKhVw uFAnudlIRAr3VDLt13IoVtHKCPoSkcp+1lf8QRmcb+lMOMkSoWlzxdqJdysP X+IOvjc/ivgq6xXtHcUgtGkmn/44io22f8PVYwV4Rmw/5CU9CiPRwlvr03n4 HZx7YWNwBFzTXvdV9ueC7dIN+5OOI2AIOvK2yCQbEol7pqP2joAs9OXuWF8m 5h4z/WZKGIahot8RoSffYcDnERx/dBiPah4hk5iOSy9EBXI+DOFAGqt3rds3 2J2j673CPISVvdXasR9S8VzlecVzukHwFene0XuSDCO1wPIF8gBk50saGwOS MM16INKhrx8vD1HXKs0k4uy5Qu+79X04+P7KoxKnBNjcntWPLOmF0jf5s96y 8YjrkHpyNa8H/+S7KJ+F43B1fj/jjrxuHEsbKYm49RlhhzLj3Uq64GLK0PPK IxZX7J6dEWzohJRUdRN5JAZMEpU6Xpkd8A2XtA+8FgNeXw2vowntEFy9Pe3X SID9BnO3SFwb9mRZnbFzIODvTgXPntRW6J5itgu+TgAMuOkYK1qQ1Olu0yJE QOqaHnsSsRm+Sm8UksUJKGJyNZCKb8Iut2zJQlMCrC5vkDYSGhBgaE3Qr91a b/A/W7mGeljV3GbMVY1BNjdfeBxbHWpCef+N743Fz6eniYEvauDwkrPjGNVn cMcmpDnRVqOQwlAfcCwOoVnyO4cSKvH30K2u+47xmAg0jTwtWgEq18+NFtqJ UCnSCZAeK0edXmae0qckdIhZrk7lliGr3r+/+3oKDv67xHPwaynGlf64zIl8 AxdVYn3l0xKwDpR1n9yRAY0dv79TNRTh8fdo9hXeTLS/fWOUoF6ItuPrzgrR 2Rjl1T9SxV6A704R3G3P8nCxkfNDGnU+VPadeNFbVIhnF8abljnyUJP51MHh UimeasWHNEvngmbo1JebJeU4zifZtj0yB/tfXlyui6lExsKt/vMyOTh3uDTb WqoG0xJPOU7Q5WAsxWIH8WA9hHQTOXJJ2YiZN/RqutyIL99SmJeI2TjnvMDv 3taMqjVFhk2qHPip7Zk5mNiKxtmlwJ0XckC34VkqH96O3pm7X0x9czAxxlm7 GNeJH3JWQm9Wt/TsZIaaym7Uzhh5zrvmwurP4JzWn17omqqqS53MQzlz0y03 ngEM2I3bHB7Ow30TW3k/jUHcT60LoW7Jh4VhrqPKyBDsaCms1kMFkPvvVEkk 0wim7TNnLncUgpsooFX+dwTVf/LsOAeLIDJwm+1Z8yii79sE8/8rRlft2Mz6 JyKOeC09VuAoxcxyvsaaJgmsn2763ykuxdsz5lk+O8fAcrRGVPFRGa6eTaXm ix9D1PNQ2Yd85XCQDVlJOzcOXefrxh2Ucrw+OysllzyOlMLWhPqyHzh69SX3 vX0TON9sb85QVgHloPBJ9RcToGqp1DvRXIm2js4Tjo0T6Lk6pviSUoUwfW3P eeZJyKXOGLhx1SA5m/YvtdQkHtFej4t9UIsfxl5+E/cnkc30eafi9zr8eL+f s/PhJM6Mc5jP7v+JtYoq7lHTSRxdOHua4t8A8mV2ZiadSZwdlnDPPtAE75WI KIHrk5DfyaVsmtCM0CsRcz9Yt3SfXc9d21tgZmqgsdkwAeJF2mQSaxs+/Tw5 Q2M3gW7dwux4o3aUj/+6Eco0AXaymFB0bQc0v2d5SgaNQ+LHuS0334U5PlX3 U9vHITXUO3ukqhsjGk/ktMzH8Dp949VbrV6IU7N8ySwmweGHplc3VT8ofNbR E1Qk3GJxeWD0bQATjsk7os8RMU3v8bjYZBCnmD/Nv1IexdmcQ4pKX4agqOIs Fyszgg/DhXvTPg7jtpi9qxHnMCLMqIprvEYwo9eRplU+iPdky0Aqk1FYmItI GhwfQBNvGo2gIBFi2RVhydq9EBhOCPRMJEK8vuTVRZ1uCJyY48vfRULE5YXu qrudqKo50jiyxYfvnGsly1t553yMb+z0Fj9GYr1U7lNakX6nfd0nigSuwuu/ NqVbMKyqahsVR0LIr2/u62JNMLLRo1ELJsHgNe0X6+0/QbnkoKZlQkLor7T0 2xs1sDTNbiwQJIEbL38WxlQhw0DmnP0YERKVn9nELCrQ1C+aQrvFG6dn9tOe 2uUwtmUZuXJsi8dn+G2ePi/FgZHZ624Jo+B2TuQ95VYEYqJUx8MtntsLq9Ha W+SDMXBKb8RvBBee6hpKp+QgSlqAhnF+GNyTN72IMllgODRVtfv2MPa+SD4j cfI7aOuV6fclDGGvws23dCrpMJr481x+eRCa6jTnmV6mgXNdmFck+hdO3vQp zmxIholqjR/fVk4z1tIZ++qRhKhXF5g3FvrQl/mv1CUiEfzzyS9ov/SC6pnx 2m+qBNDZ7GU4atgDc8YfFxlT4sAUT+Rp4O3GGk2nheiHz3jIvMJaVNgJceF/ IZGBsdAWcArQ0euAmfDg2dfNMRDnkLnoun/LN0hWclTJxyBuzFXOb7AVcknM fGc3CLiR3+8fmNcCJvqkAuGhLX5Y8CXoxTXDmjM3v3yOAGeS6k/Za02oo/v0 j1koBqxcIQrxeg24Y1S4bhQeg50z7VcFztYjkXJcyPRBLL4PbVQ+4K/FZev0 dAmrz6jTidV1U63GhqWb/t/GOFhbHitqT62ExMvSqCW3hC0fLlAWLVSBnoyq mb7QL8i1ZhdR6tnqBxbMnB4cydA4sZhsEl+GmfxPoeJsaehlnKInvCtFccaT c40K6ZDiCuGMHCzGF0WW332T3/H4tbD0NLkQHKpS/iVsOaioeWcbc6cAv5V/ wZaYj4D0IF4a+nz0jux+42FdgipfKudNqjwopX3+rmVWjtP+inqisrnY+TRl +4ugSrwhc1lI9ebA54371WqTGjxbUDU9EpYDBSVb17/+9XAbWeB/+DIH9He9 mj/vaMKszZvrLa9zINUqkK1v2gL5T506F9Jz4P3h6UMG2zaUndi1O/5fDtZY ecunojrQ2+YQI2OZizdPd58YGevC5fUiaY31XDDSyfYKyfRiil/XcMYzD31V U6c6zvWDaZZx8zpvPkKvXWGk5v6FrPIY0csD+WDNcDfm3jmE8mKNS1nxBXic aLAtYW0ITh/1BCPdC8HE39a/OjYMCz7pthW7Isz+fr1RXzMCt8vJil0vi2GC FT3WqFHcNSEV/RdWgottL6S4HxJxb9f24Z+GpRgb+TqccXzrv65YeGK1vQw8 f9M9OhpIKL/25mV2ZhmS/rAlbj4cw6eYmJQqi3K81AqWX/kzhtV+dYZGwR8o ZZCwb3s0jgN6R13+bfzAvPtHgb6ecfwueURVx1YJO97IJrL8BDjtHBjtL1dh invprmP8BB52L9z2cKyG0rzf4X9TE/B/Sy/u9LMG4fETH3YcmoS0HqPixLk6 XDTfVOGVmMTiESllpeR6qNEdbOu4MglRalKbmFQDQgWJSqaYREHqgOGxkUa0 tE8ysp2ZBG+tjwo5qhmThGwl9vUJzHxYCisZbUG395tD9ZkTkP4Wrt0s1YYQ XeOMYrUJBG841Jz72g4NzmFqqrFxrOSqh8QJdEIyn/z7/INx8L8hu7lXdWF9 J2PZl6oxcA9aHIuy7sEr06lRPY4xeD3ufbdfoA9HxNbs+NRJyBeJuCuy0o9z z2MuJboSURlUpXai6RcytS6/tQ8dxcjX2wsP7m2do3yM8qWwLV9b5jQcIzuM tv3iJY3uw1C91/V3gX8Ec729r3Q0h2DQFFHWuGMUT64EZ9lI/gLlymG7c7mj 4LL5WJxC3Y+LyvTvqVWJcHTbs5L4rQe9myHJsxVENI7nxV380YW4WaNPgsdI 6Mz8eqK1oQPPnU1vi2713+PK7cxXOtrAqUDTpbvVn/NYkvTMB1vQuDPh9MUY EpwP7Yu7ONaEnk31Msn3JNzh9nkx3vITksZSpiNPSKBnUHwdPVALiuvJy+bi W/kmPc9lkqUa/ey87DV/iPAdLBQ6RKrAEAevZncUEc8+GRizD5RDYB/HkbtS W+/H0/cwfL0UhSumjHfqRvH9mhhfg08xRtid5y7Jj0JGKs1P2qoAke+ow2pK R/Du0chEcWIu9glVNbeeGQHPqKLYu3PZuJ0ndFQ1cBik1VFbr22Z2F9k1an4 ewib1Sffyx7PQC2/488Y+SHY0kzeL3f6hqEO+U6xW4Po0aGJcD2dik+Ppq8R 1gfA41Afs7v8K15MxprfTu9HQ06BmlrWF5QlfbwdbdaHwHudAjarCWCo7a/1 5u9Ft1auephnPJYTpy9HzXfjdM+fG4J341CjEbbzUEUXbvv8O1qj/hnCj3dm Vj7sxOFn1YKWlrG4dd4tUPhwB0KVNudYS2Pg1hvLu32kDX0PDP413YxBDV8M c0BOK5I/yK6q0sfAg6bOqv1TCz4IOijWkQnI2svsteVg8bVh9osXbQx0ht6c 1BdvwoTOBN0O2Rjsex//XfVsI9gMa1iu2MfAs+aM7P6zDaiNP7zfIy8G/wd4 ewss "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFl3c41f/7xyuUlhHKKBp2RYqI6llC66MUskpGyiqUllX23u0Ix97bseex 997zOPYpKkTkd75//d5/vO/reb3u631dr/frft2P+3nIwOK20ZZNmzbJ0F7/ ixuEPxXC90fQEkriv+u/hP+UJ+Mk/UZwwMoouHP3Esr+fWExnx7BNs6xnSyC i5Cf0LfhURzFf1c+R4qp/obcvtytilmjUPVve8Vp/gscCvt8dvOPoXarraXA l58YCBk+bfJuDONhS2VFvQvYiO36ePgAGQwOw9sl6BdgzWdb/SaGDFP/qOz9 F+Zxa1Lkp86JcVjKlneEsP/A7sLn0ULd45jQkDkYYkeFzSERiz0OFHgvMAVl bMxibmeecTr/BG5tSSj979MMLm9UzxbNT+C9/vLWpt9T6IxNHHTKn4Tg2ePU pgeT4JZb+k01nELuLwsmXp4JZF0Kvt6yfRrVUJz/0juO/87xyu9NnEZjlbaK 0TcyZh03qC5KM3gzbxHDbDyGfS2GJjl9M+Ck33f8ndQopPYbGe19OAvdGHa+ m1tHEGnJbzo8MQs5bWHm1cxBWM8rmXHpzCHfx1XulX4/1GzV3P9GzWFrWr1P ZHEvHtYGNgdPzMGWMyxg+8Ee6JU1nNrCR8X0Cl//G7cuqLC8XNNVpsJ7wHFo z68O/Nhar1tsSUW76Fgw/aN2JJ2y1ZPyoCJduoO+ltwKXs6Tp0eCqOCZEfy3 YdoC4xh76Rl/KkxP7nbuWmuEAgfL1FknKtJ2XjJSSqjHve2aM1QTKnRP9e3c /KQW1JzZoWwlKkLF04YlrlXjZLaFjAknFV5KL74MX6gEqeBaztrQHKITf7R3 qVag8JnJbs8vc9BjkhV671KGjQ2BG8rX52BJZjB7HFcCX6GymNSFWXDuUE9u disEPZ3OubN+s3hSLfA3NyoPTz91biUcmsVNm1H20M1EuF9kWZMKngGlw3X/ gSNZgCJzlOjqNIjRl7cZfEnHhDajupTmNGZidAUzK1KQejLi3t7UKfReou6a piTAZON0mdumKSxrNzqJ+MZC68yjPSI3JvGFfUczOSEKsu+n1B0+T+B5yBRf zwkC7rTKbh8mU3AkS2wjgDUcBW08Dz9soyD0EOkBqf4rQs0KlQyOj+Nw86XV cslPeJfVXzzISUbUuq+H2at3ODPqOP5k1xgOJzI9ZPEKRNFUZkb09lFURRav ZrzwA9tSyNhb1hGMsaRqnm71gtOuML5DV4ewXz1v7TTVHd17UlUE3AYg6DWS fSvCFe0CO55vft2HD4aiybcsnCF5YpPtAb8eeNTdJ22uc0S0b/ykOqkLGaOq qaeC3kK/m2f4DHcnlvlVBRQN34CNP2norEw7HOO6nsev2aP+l8fgg7etmHmR QrRQtMcVKcaDvMPN+Hr03HV5fnsMX7L2MLBqQI0jS7d8uj24/lYpGxvW4p3A d+6Cvw5w7d9S45NYBd+JIlMl57eQaNxRvHaBhA6114d55x2R6cUgfkOlHLbq FtG1X5whKpxeoBJUCvWbn7d7pLni22tJ/qf0xeDiIZ6Jk/fA44FRNj3pAsR2 5QTvfeQNphLN6HfZueh6TFViP+NP6zNplza9ysGzMmZnJmogTjoJ61sfzUZE +vNenehg9Gh8anu1lAkH8ekLP96/h+f50etx3RnQe8gYnFH5EffDBdezG9PB kBifZ3L2C6680hU1705DEnf2jeotoUhuqfRUn0wFIrJsL9LO+3BcYva9jykQ //psSNMqApPCTxP07iYjWctao+0XAWZNQc3PpJLAc0ZqdfhrFI6pTcjlH0rE eHu9yqJ5DPzpS0cMDyaAtLwUV2MahyqDbY+vbk4A93rgA8WUOEiwu/x6PhYP mRvSrzx/xsGIPo19uiIe5zTT6T5Kx8PBR+ApIToeUZHLwpb28dC8ekAujBCP juIYv5cu8dAh9OSEhMVDODmWztE7HvYEUL6ExKMr2cPDJygeu5h4RLi/xoO0 tqV5z4d4fPn8v+f/o7JQBR/3p3i8GvyTxhcaD+tynbYvtDxFC5n/YsLjUeWn HxASHI/9LKFeWbHxkIuj3xQWEI+QcLZeUko8KlSPHyL4xqOBR1SmO5uW7//F btIiHs9q965sWo/H8yjDOqvbtP0oSIb/VUjASp1R6gWpeNyK5LlX65sAvUst Laqc8YiW5X9o3p0ABts/uqbn41AfvSJ5WToZ2wNCHE9ax6JWn6BxtzkVdr4q 7qx5MbgeHOJ3+HY66l2425/vikG4ZHO+6WAGmBaHrLseR+PcRy3PnT5ZYOVL Ds8YiELIWlRyuF4Oxh68PRGoGYUPmlrG3fdyMfGTNbPpdyR22e0RfH8kH9wL J7sffo4EY1xYsTNjIUr2/CLwKUXCvj8k5ihTMRoTSD/KVgmIy+xb2spTigLW K4pcRAIqz3X5Nl8oA5/4n8K5pwRcc0i1cY4tx5sbYxf+kyHgvLrQ1CMhEszp fKd+byVAtMZMUr2sEmxHGd7GDkUgLo3t6aYX1fh6RP2OcEkEVtzFVH4p1sL4 cCo74iKw3hG3x0WiHhYF6jZj7yKQpsK0ycapCbJadQ9CaVooqbegN6cF+320 kqkREbiSe+2c+qU25DS8qN2TEwFeOUf/D/7tEB9pSbRpi0DInzLHgqkOyER8 3VhbigCj4qJFvHIXCq8aN1sfIeAmh2ANS1E35G55vy3VIGDoe/RJS6le7Pr5 qLksmADDTLoAruw+nHrzebSMQtvP4zPZGh4DWD70ccZLPhK9HtvUWPSGsMnQ 593f+Eh8k+tSub9/BHGkNe0Vniikrk0OG28bRanKb3vLT1HIbLJrM/wxivlf sr9V+aLhPhFlE9k2hkyPaM3QtGicds4V/ZpKxh0Ory2kezEweakx9PLrOFT2 ab3N2xeLY+H+gjftKFCQuDASMBSLKJ6rqV0qE8jw/xP4MCMOUQfYujk5JxHk 8k5Sj1bP1H65o89aJ8EW/MEgyTEB3yhxkoF2U7gZQefgZJ+IxegI5wdc0xj9 xGZ/2D0JEXPEBe64aez35ZgLc0jBQzm/uC6nGZzXIDzs2pWGLw9cU4p3z8JM 6r+gock0iF/MnSQ4z0KrjKdhoiUdTgKeHmo07odHG199XZMBcxuW/ETpOTh6 ve482pwJt8qBhGev56DM3+oVRsnCg38KKXeT57C8Tzvg7a4cpGv3R//qmMP1 MOUOVwUiJMMvfAtdmAN3ltHxrcO5aFvYF1q5jQqhmFptgw/52GQfVsPNSoWl pD67pHkh7O4Ghl1ipsJgs2ynqEExUspPRHygo6LkJ+9ZhnOl+CC9tebIjzn4 ZOSUdGiXoYFucqyojcbxzTovXnqXI0ZE9zxd6hwG68SqJ5srcC879r6RC229 wuL5mbuVkNB6wRhB4/pJzicLMgzVcN19StZuxxwo279/MG6oAaHpEIGhbBYp X7tuKmTWoSUuOZrfYhZV53NUzhQ0QMk6nDGMfRb3XvUVfKU0If3rXu0D6TPg 1nna2/C5BWbKSiZiCjMojHwtpLy9Df1fejgMc6fREn9wWDaoHQ4/iy9t551G LPVUfZ5kJxa99wvTWU9BJf/8ObP5LgzL71zlyJtEaPPaM3lSD1ZNt3PMz04g Pe92sXJKH8ZeHY+U2DmBfuvvFKvEASzKzwa85qCgwoBhy8c7Q+BNZskRPjuO IJJgzBb6ESgNbzZSUyXDaKcQIWpwBMql+kcctcdgRh49dDd7FCd7t55/cmsU L877bAl1H4OPdOz1UzIj2PzMv/6AGBnLZbfNBDyGwGogwPCvjoyGOkLrqvcA TnUc6m66NA6D+Zxpre4+/A1W8zVPH0eUJPGXDGcvdGJ4PaxYKbAo2t20rNKN qIdsl//Tp+DoTRXmUJdOzPol3dr8ngKVzIU+e8YOpNyY3GyZT4FjScWfQd82 vJhYDz3YQsHC3Q4Pu32t4Nh0XTOng4JW+U+kLJVmmHUMb2yppsDyE7PRVfcG JKoHXz4QQwGbW/v2Y7214Mqr63hpRUHg09Cbof9VI79JwZoiTUEiSfVvh3ol jMTbmVUXxvHabW65xLYCgmll2ce+jaNb9H6zbWkZnLQrwrkxDtMbTzw9BEqx x1Mreb2DjL03GO491yhCSGmt9JQeGZuNa19axeQjh9GHkX18DAE5ljsZpXOx W2xFrOv+GBxPhrnt25aDuqrkpcDOUWTc6xb1Z8uC3USwUJLSKCqfcuomaWaA o0X605usETxouP34TFsarjMu1qseHEHBQtamgOUUyLusLiXuHQb9b++XVRFJ 2H0g67AIdRDKfxV+P/mSgCPHt1atVA7g5q9r5rq9cdCsdvbLJvTDWX5pcadG LE6UO0tmuvSBlYm/NZrGoW5NktOux70I92u5xPU7CqWMQ18j7/bgjqkThYUx Co8fhTxhOdENPsEM749HI5Fa7pDvytQFsd18N/bR4N3Y0vvE9U8HyEzs5VXL EXBhWcu8970dm0ToTld8jIDwljqFk/NtOE1Xl7ykFYH6qcBw+n+t0GutUt10 NgLsLWkcBbRzDRFWnOej6fbco7mC51ow6FPmy0/L526fKqToNqF7lPf77oQI CPC+PpFg0gDZXzWsykcJ8DK+9YT1cx3u6KSWlA8SMDCWrPRytgZ3L5OnXlVE 4roHIe3o/WpY9TlVfRiOArnp0aL9z0qcmz8bePd0DFi62CZIkSQ8kp3kEGiM hdSjaNIDqwrMsQs/N0uIR86ihKIPZzkKmT+de2WeBAP2KeHwiVJsODdkpeSl Qqws8NjOjBJU+j9qlm1Ph9KP7wKZfUUwZVL5tEcgC0VcXhmj8oXY/KWP3mI4 B1QeH82kiXywXh0pDWLJRzb9R2n/8jyoXSn1+VhdhHrmiuMP23ORPuGg9n17 GTgbb8aIVROxa9LcnIlKwpixbzWligjDmPe9rt9JYNmhsRhC0yx77e+v/yBh Qz9JXI2mT1GP/LNeIIH1sO+LnTRdPeaVPfeThJS/f2rLK4mISs5wffCbhGYN iqcETXN2umioLZPgU79iG04i4sOKro/CKgnZY6fCmWlatlGJX2qdhD6/t01W xURIiDDopXFXQr79t8dkLhH2u0yNbstU4tpJrirLTCKuBe64xnOnEmeEXtnt TiGCv+v0kZ3WlRhl2Fb8yJWIgE+Lhk2mVfg8tD83RJ+IovGt3aFm1bj4/pve F3ki6o79yfr8ogaG5vuNbgoToVDzzrnPuxbuAflCiXuIMA4Ul7BMrIPkIU// zOUcqLopPDQobkDOcY31kJkc/LW+pSW20ARv396tC9M5YKa4JWsYtWBUt2i8 ZyEHq7wUlUGdVqi//Zx5cgsRqgqe1FqdNtgw7+4e4iZiv2JvU+SDdrj/I/0o kSPit96Ow53PO6BHILTmPyDCIUFuR5JfJ/oTvmfKRhFxflP6n9y1Lrj+Dop8 Mk8E+6QM98yzHmyv7OcUu5oLmZcBZwV+9uK8rhDTnZRcGLjfPcv7vB+UhAMr NXx5sNiYsDJcHUBMV07Vk9A8nHdZnDd7M4SgjIwOSaF8GN3KtG3fNALbFBFO tOfDidNt9VfvCMpUvKtX/QqQvz5nV588ijecLuVG2oU44WV0O8lmDJz2H8rd pIpwmckmmQNk7Pgme/TxwWIcXZFF4QoZGdpRTSd4SnDSOSTLP34cbvF6HX/2 lGLmN/PuImUKwpXbqs3CS+HCWkWfQqEgpr+Toe5GGR72im8Sc5uAneZz91uM 5Xj7+tcFR45JuNfZnz/VWA6JqkOk0uBJFIm8/hodWgGl1TrGK5un4FHOvHn8 NQl5ovxB0bpT2JGtJCpmUAldto1jPklTuNg/6Fh9pwrWBLrcytkpWrxtsqRR DfXPau1CB6aR8VrtMd3DGhSmf//mdXEavibWszaDtRiU05radH8a+VRFK0Pz elBElv2ETKbRkHZc0oCtEfr2iRMf9adRqVs/w9behBcaBG/i1WkYtdC9pLvT ggW/0/bZh2nfa00V077ZCoOag95e1Cmk3VXbWajeBtv49Ym/CVPgb+ONumTS jpCkkI1vOlOYN49M+enZgQvCM4xDG5PQd79ml0jsxH6O+da1j5Poo55VE/nZ hdpgu8wD/JNgv6z0elmmBwetR1yVoiag4PG8q5vUi5bPdxhmNyjoqp5PXNLt hwu7/52f1yhILd56go9hEBXjn9/uch3HUiJzi1rWELKOPzMfSyYjd/nZjKrk CGoLStSFKsdQ0cvf7Mg0Clbz5u8pdaMwXy76ZEsZBe8nPi6v4hEk6H64eC57 DBannhI05Yfx8zJxqe8VGT+Chd9LTw5gR1rKWTPRcRwLO22sbdGHEq7DmzdX jKP9FtPHoJFucMW+1fkmRMFBh+3Bg8WdaNoVFVFD4+u++iMcWZ/bIX1tfbw3 hILyTtLn/Fe0+9Un3f00igJNo1Y6Um0TIu6V/HjnS4H8wkH6Ycd65DNoxf/S poDIPnh10rAG25krZP/upMDrjPY2cZtKsMeKdrBFjKP1l1+GNa2uwlwSOvJ5 xrEoLP2a7UEphBpsMpy+kWHKpmTue60ISYdZze3YyPipIx9KFslHfa0tCuzG 4LyidPAS7d46XudXdBwYxb+CkZvhi1lYNLGtOig1Ch7rXL8bPRmo1um8OuIx gnuxl3UCGNJREUpyrMocxmP17/2KcynoKVwnnlQbQoOHiaCxYhI8E/YwmiwN YEJ888XXjLS53FSp1KqsH09fVjAJaMRht/G/ImpgH7hWTQ8XT8ZA9bImh4JJ L3bucvtVnxEN1n573eArPaglvDKvTI8C+6K7YR6Nt42qPnGMw5F4/FhAQedw F97Ui1o0SEWiSeq6OfVAJ2pnr1kwZRCwUmG5t+BIB3y7+xzeqhBADrl6kHqq HToyerdeMBFQFxj/rpqtDSy/F9n7xyPw/FCtjCR9KzKONoYITUZAj82Zm0rf gtmIk+8M2Ai4PawVve9oE+J0t3x6Z0yASXcbo6BZA8IfJYmmThBwhvFv52xN HfxX47xt/CKxR3DL+7OXahG2nu7mqR8FoW1ih8d6qpFysPnySYNoDGY2tkZ6 VMFmu8tN7+AYbEiu9+uTSSD+/LAq6BuH1RS5J1tMK+Cy6q10aCkBd2suFEdw leP52HS792AysuXHqF4/SnEjN180MSENdD5SIa/bSqByO3r/sbwMOByaCO1m LIbtmGTmQcFsKGuvkOgcCsH+nvds2j8i3jVm1Z4RKwDrC+M49lsFuKuonb59 NQ+jYYEcK5ElSDqxRcpvax5yByt2SWqXw5R73yZBlVwMngjqS7pWibeLwtci 24mw4Nsjsz+xBhkP7xc+KSNitrCGMG1Ui9jqBj6TdCLu/pQdMBGog3K6k4Fv JBFjIl6FYdN1GPA3+tj1kQhnvwQ+n4x6/DpzbhF+RGQ2Pks7/rYBqRXcXSQ3 IjwuNnS+vd0IonJtjp4jEUe+Gbx/I9IEnT2t7A12RBy/EWCrQ2mGz9bsD3pv iZg7PyKU2tsCz99xTf+8iRgcjfpqV9uKC7ZN/3mG0eq8cbCcWNaGHbIh78bz afyVPEycKWvH7unr7MuDtP8Sx1HjXtsBtadsvPGMuVCOOlw43d0JC4F7abM6 uSjacP53N7Ab8mu+weSyXMimGvBE3emFB/1IwQ3ZPFBvP1T9fqQfpRlFxUuk PPSH8qmxLQ7AL2mRlKZPm2t8KQbZlUNw8dGyvcdSABaJ0YLMKyPg165fm2op wJ+902dnREbReJontta/EDn/kcflF0bhrJ0o8PJeERxadbhj0scwdOnEOpW5 GHt1rqurXCEjtuiqlEJDMbxXtvHN95DhJS332jWoBPJ8e1PoDWl9wZdHQU+i FGfXTMlHJsahyBHl5/ytFKZDDMqrNN+RpRI/k8NShtF0WqfuosDuYPxSYUgZ TIUZT/uqTYDZc+hih3g5RCyDr5yomQDRZ3A/e105SrLTCZISkzAwVGL4YFYB jW/Hvuf4T2JNZd3mOTsJH9rvjM2QJ3FBzb21mUTCf8puEXvFprA/csu/CrtK hBefvu33ZArHuuTNXllU4f38RWeXjCkYSau+zHhSjQIeA6XnU1MQlviYSLSp AXdli8UJ1mm4WJfMNgXXQk1p8KHL8WlQdWzeIr8OwZv3isucn0aI0cxWle/1 OBRqyLpNYRqiuW0XFE80YqQrIy4U0xA6nSWb97cJd7jqHe6LTkODV/PmhGUL 0nyfvS+jn0b7xmk9B6tWFFg4cfY3T2HUrON325s2mMoaHPHymUJme5Dc2td2 3Fh8lPJSbgqLN0U2L1V2oIRf22r/4CSqTcsPfFrvxBEhZ+Uqq0kIJjh7+Mp3 Q4PejBy6MoE/rHnV55p7MNJR6Z5wdwJpUx7H95r3gfrEfZUlhQJ7t69SB/YN wPbF3LVA6jjEr1Q3BTUOwr9r7VgP9zhIXGFh5d7DUHnazxMoRcZh/6F7j2JG YPmZ8NPu3BhM9GZdz7iO4mzTD2b/k6PYH8rxQV93DIInd7xi4xiBVe9CSjwd Gfnpo7ys14fwK/HHZfUwGi+CYvZwawygLDW9Yf34ONjzVo5+VOlD5uvbV2oT xzF22373mGwPzN+rnnrOTgHnxPNtvtxdMBzR+zanQeOXdGh6sWoHAo0u7+V2 p2DiYpruAM2vKiV1KBuFUfB69nZ9VmMLvHdeEbD8RkGf9E/+ixJNEBlyWr7q RMGe5utLgVN1SLvtfuHGHZpvp3v0bFSnBrMrn3149lGw1tH8Lo7mUyyv9DCN kMaR9oDFeCy9ApxDxfVX9Maxov0jyCG0DKVVuWSnGTKkLgaLK1iWgN2bUiNh RIZnbemdHVsLIeDBzKDTNoaUgvzNk39zcfKxGfGq5BjSRxmJgzdy4BpUnffY dxT7njmP9axkYrSNv0F2ZARHe2weXFpKx3jT7fSd4iPI2madEHs2jeYvJ6L2 /RmCHE/xrTdeyXg3fH9cJWgQrxL7tVpZEqHJmy2958QA8pvPBs+tx2Go5LD4 /o4+6PDe/F2vEIuXizafYt72ovG2HHGhNxrVl9SXzaR7cK7NzNw6Mwp7n9+n DhV3If6YakAcIRJ+p+zv82p2IkzR+MaNfgIO1zZJs9J3QGGbUZ+ZGgGvlhUU +SvawGSm3Ce7jYDizXpGD9+3QiH4TXHf9wi0VOBnmE0Lyrl0HJkYCcg6vxhW P96EABMC27ZbBHRTv5679acBs33ix2VrCdjJfEa0tL4O/9XbhW+ERsKEs80y oqUGnvd/dO8ojoJ4p1vuSfpq8HAc1VgRi0GDdFR7imEl1utf1yX+icW/0pcd enMVkDa4d+S6QAJ+vV/8kfa1HHP6nvwaZUnwsT/afMyiDJt5PsYR+1PR3bL5 jQ9tjlGjv3B3vDwdKi0Cy+ZBxYiOy3Ozt8rCbj7X0B1ZhdAVkrEWTyUi4cHT WqJQAS7WWp+MDypABXbFLU3m4V8ow8YyVynWWpSw/CMXVh0Zy3ad5fiwsc7r LpcLjhJbs8atVbj0boXjRx8RzObXv70ZrsH7zNgylnAibvHscpBlbEBso3yx jycRbM2aw+cdm3H5gzX16AciLBPidnBEtSL2Whn9IM0PSosct6tIbIfTXZPk DHZaXWlGMSm1d0JyfVFvzCUXn99Tr/qy96B3giWpgj0Pjkx2TgzGfbifzP60 JyIPu7iNmY7S7t9RjV9lXy/l4yPl4FeTy0PoU1K7Ql7Jh/ZNVq50rhE8ZIkN DiYVwNTO2Ie8YxSM2faTYZGFaCvOUK75PYreBgrDjo9FOB4i2M7ROQanjK1D o9+KcVPxxNvmeDJSbdlEFAtKwHFE/e5tq3E8/W7wUvxFKY6U8b7REaXgDr2s zSmuMgTLbnnF2EGBdMOSV0tVGXQa/7m3PZ7AaTYdBbE35bh9l33AdZnGgxNN Lq/lKyB005XnNK3fvd8isEpmIYErmRIo0T+Jf/IX6IYFK+EicV+66PoUBEe3 TLjdrEK6J78kd/QUGH6/69XyroaFkuWzYlq/9x3uCuzvq8FiW+LqSc5p7Arg yws6X4eOLp3BNclpuHt77NlKrEfZ2chMnwvTuHxGWzJPoREc7RzJp85Oo3es v1p4qglDcjR7JDINx2nP9XORLRiJYn2ssDKFh5Id1wwmW9FtLpG+m8abpqSX rg0X2vH0icleevUpvBV6uuST2oHzB0T3n6Hx66fPL+YHp7qgKbl1WvXeJM7X ddbE1XfjoXlQTkTFBP7RfT8l8rIX4UcNiYJ7JxCR6y1EL9mPfx8Ql6pGAY+O YKrNxgCe8klMjDuMo1hKgS63cwht05Zv9d6REXxmyqlacwQsvKr6te/GsG3H ovNepVGw7CVrLr0ZpdX1ngx9sTFoGMFp/50R5JVIeO/dRcb9K9kkrhNDEI1y SCAUkMHsrfhI6Xc/vPqYiw21xuH/XwBRNKIXV5QoMqTqcVDuvSxyyuxGMeXY 5/tHKBi0DHq2heZXakXurhKMab7q8bqHa2U7zrzcxDYfTIHrWBdpobkVKREz jh0RFNQhwQI1zWgI79Vjfk/Bv+t73J4TG9CtRlDaRfM7ymlcWU1VtXi9R/II sxQFU31qAdn/qlB/pUyWPD+OLv0L3hfaaXOuSmuqVcg46josKuIbylGQMh/1 XGYcJ67UlyRQSxEgserHWEXGkaemjFSLYqgNNdt9UiLDOknGU02zAK1+/ZXd BWOokf1nmRici9bq0n+xQmNQr5a5LMGXg/YBtaQtPqN48kjzZsRSJkqKzIzH ZkawOvEoMow9A+sLrjViSiP4WR5IEn6WBr3LjnxaGAZXkPw/6r4UDBzwiqIs DKK3yUE3MT0RfZrMdbUxAyBre/IXx8ZjVlylR0+vH7kyZRrXfsRCnKQrGnqw D7W6N9QDHWLQrXiMjnm6B1bHKJ/plKPhLGy15Xt+N/5I3ck8rxqFJ932rMF6 XVBbmWQmm0Rix8mDNgscnbjeOyksVExAAtvlvMT+dhjmv8iVuEqAvu6/h7sy 2pBZLva6moGAjrdznlyfW7G8JfUFx3wEuka/NEUFtEBk8Ca/M22dxaKyIv1E M+bFd7T4KBAgHGDv5HG/EaJyjy7EJBFgapv3vE+iHt/I4y9hFYl3JvPaGZK1 aCD1HxJzoPXzh552FkbVKH6IoAc90WixFJw1KauEcSSZ9Y8bjVeHzJMYlEgY 5z7GeiQ4HmJu9f0l8+XokFs4e4sxCccd25WlS8qgyff4g/jvFLQ9YBuUSC3F trMzA3dPpeO/Az5qfrtLIJfb8SO3JhM/H522+7mvCDuLPLcbz+SAxXdHFt3L AjS6W/GJpeaju+aU5yp/PnDdfMpMvAR0fw9KVe3PQ9f1NuvJi+Vwtiyg/tXK xSbxjvA4/Uqcm3AtfvqdiD8BIf9ZS9bgRryGzp0EIn4mE4tKteoRcF4rQ9SH CIrblU9abU2QdN4bGBZExKrMr/MiN1qx575fk28hEWscqV8uabXjAlcf7yLN D4xYMefxu3WizJTOVsg8F1tv6Mud+tqNpU28K5xxuXi2mifxPqkH+/N1lPtn crFZwSjWqqwX/weXPd3+ "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwlV3c81f/3j7LKSGbLjiJKMj6Fp8oOyaoQRTsVUaEiFA0jiUpkZJYtJTtl j3uvde+196iIRCrp9/o+fv+4j6fX6/16nfM85/U850g6XbI4ybps2TJ28ud/ vzPfHdtP/aVjnZbF1Na/FMi4Wq34j+BXUey/ZJcouMdMchYneMq0a53WPwq2 ssgb/A/nlUQGOS2jgvdpNo8BwVz1C8+VWKjYYlFr/IRg1hV6xgsEh984PyS7 RIf/L7ZVraxUcKzhfDRC8M6yYoN7y6k4zGfYXfuPjh1qQg4rV1BxRD4mu3IZ A5e3vzlgSHA4r6hMJQsD3YaNbP8RvHm28vYbVgYYPstP08n3lPOFcbHLyTrf J21Ogq9XVvfvW8FAeGaCVje5P+F6q0k4wQ1sxr6nib0Nv6rtrhKMR3RKCPF3 g3ID/1fyPRvTwEjzNwVZlycvzZHz75sIt275ScEK70KheHK/feGbpZQfxP93 x9MsiX1PKsSmNGYp6Mz+6zRB/LmUwsLr852C+3pGU1eI/9VdP4+HEWzWELVy 9SIdgTGHvnqT/dZHnxtQftMx6+W3tGeOAh7u8aj6X3QcsVlQZpD7/h3Y3ihJ 8O+aQSaT2PPNMnhjwwIdabNya21IPCKFmXlUgv9Y5o6uIf59X9N/U4PslxlN t+Uh/kuNPktYTs7/d/XRm2VsVIRozPMp/aHj6sCKXho7FRZKwn4FxJ79S79o 5zkJX/nujoHE/sChRufXXFTQhT8oBxP/NrSzZnuupMKLeU0ui/DB/UT3SgXB u60dZamEP5WnOwOuEHzl8up1bewMyAx30cPJ9ynsobf/cjLgVR0znsxBxdaG /T3hKxlQldjxa4zETzvgu/vxVQwEuHGI+hP7d945fdCI4FG/5WnH/lBgkmF/ TJ3slxeVUfsfX5mvPnkrkvM6un9sWPhCQeLao0t72RjYYv7aMGiEArHUm3FJ JD6y1oNcjf0UNPw5Y/eI8D/qLnjOspeCtvp/oXaEHx8+D807BOeMHDl3ZI7k +/pY5acD5L4zU+vGZ+hgGG9avDtGgZPho+2O3+gIfr/nmdA0BS+kOClcU3Q8 4fZzKCXxWFt33FKcYKHJc9udCd9Jz99zlpL9SVkV3EnE/6//7WDV/k5Hg868 SBIvFfHTyt5F5L7lxTvdZASoiHC8eWo1iY/YvM4OhjCVxEHyJS/J/0+it0Y9 11KxPdkv7X/5GdAptrNhHRXJ3E1y/7gYaAzkU39JsHp+6PVDfAx4p7DpjIsS vjccoygIMvBn/HDeEyEqWEraKVtEGdDraC+tXk1FtWPdK7b1DHyNPFmXSOLF jHwi5LuBAZ2l12ddif3XFu15ThE8qa7cxE/yz3VZ3M8X6xjIk9FLyxilgL76 hU6KMAO3kvtrO9soeLBkNJG/mrwf9a06NZ8ocLtsVcpH7FPyvN9d/o6CI+aK W+RI/tgYf4yczaLg2Db+zqB5OjgjM9NsX1OwxvtAKP0rHcXUIkZ8JlkPtntc N0THad3tngJvid742Wes6Sb85/gFPibnW+tabLTvoCNRVVvtMYOCqyb3B9Va 6bghYPGKf4aCZ0EeUc0tRH/Ermr3EX1ZabJZXLONDutHvjOFPCS/KRFSwXQ6 wvLrv70ifOmLLgQWkvMV9xWf3ytNhX/kxNNUcv9JDSovlyIVe7hbexSIfY3b 3d7dUyV8Sg0nrCD28/89HWitSUUi3+9+Ksm30xXrPlrsocLDSeWTKS/hO2jk jds+KkLTpDu+EP4CutrMT+8l75Odt4hPjoFWddbpVdpU7KOcaxbdwUDWp8t5 jmpUBM8/yj+zm4GRVhaBEAWSPwkKF87vZWAmTezUxEYqTpzfWh6nT/Snt0Fi lvgjcnzOPM6AgbmXP4ufL1BQwLtdQFaPgdTEuYeerST/20v/5usw4PmuYEGW 8HlzvHuVwC6y31yEFvOMgonA7Le2ygxoDekIlvpQ4L3H0/CNLANSBqudz5yi oGWlsKMtsV8/LOr41YMUxJ082fKEm4FB8Zyt2ToU/BTXWqoi70tVpYqlaicF byNsdjmN0lG5+gWrriIF2/q/sCyj0OG2xcHEW4UCw5A6W7X3dPwomeReaUhB yMmVatEpdETJbJDJPUf0tX3ro5dPCd+6qod3R1MQE281GvGQDqvJgRV+JN/E nVm1HcPoqDvaabNrFRU/Q/L5n0XSIfmboSShROK5w0/CPZaODXwGG5R0qTBf 5hurn0ZH/n6zc7ePUCEQcYZ3uoDo7etWszsXSD4YqPWrV9PxoP5KUoQvFQo8 WxJbGHR8Nk1xFQmjomt2MuP4JB2rlfgi/Z8T/Wuf0fEg9SFm3uCBdRIVdfKF 63+KMdA3NncvPJ2Kp/G7ds0Sfr9+NbgUlUbFsLqWnaMNAyd+sz7lT6DCpmh8 n4wrA3uXD8xOPaLCr3fhnGwQAxfKr9076kPFYFMw18Fo8p4jvyjRnImeavQg MY0BgY53mizEH/cX2b/X5pJ6xi1zIUeCivmkvr+n8wkucTj0ltQj7YzddwSz GTjqXLMsJImCD/FGtsMvGVhxtGgmw5KCgDf7CvrCST4GfDNfzkaBonyLtI0X qZ8ija+Dipuhxbl6qdeWAedQ/kkJ72ZsHbn7+TfJx79aLocTjZpRZbnIMbmW gbsZH2XEpZvxfKzvTRjRM6XZpOP8nM3IVrmm1UHiTTEebi341QS5s1EpVel0 LNbz8iwnuPXCp3mX23Qo/4wuSmBvhsNzV9ueY3RsThfnG5VqBlsb1E206WDv uyjWaN6MjS/K/gpL0OHp7zIdH9qM8NQ1Jy05SL/xfM23C13NuFUWnz//owPK K01RpkrBudWFapSJDhx0ds968ZyC43/+UXxGO3CZcveqOal/Uv0nb1790oG3 N4+7z4CKu2qrn32c78B8jQDOelBR4LKLLYqTjkMCQh4UEj+DTdMbWsj9BkWR RT1dVBysOdz5H+hw2He8Zw83DfYFilIuzkQ/xtkkUzRouKv66shwMB2ObziD ihxpmFbfZPa7iI6h55E12rdoSGBnaeDtJ3o2GLk/JoKGAVHL2VFSL7foFFWo JtLAs+yWtPA2BkoTn7amv6aBUcPfuOkwA1PxSpyp2TQk89PEo/wY2JzRmj+Z SUPU/CmhvlcM+FRVFx9MITjn2+TuGvJezac2+8TScLDvtCrvEOlnBEbrK8Np kFBhey+1ROLfX3ddOoCGXVLx1/VEmTibpBmS7kZD7ONe9r3KTKz01yx1PkrW X1z3uabGxJ2bagWvDtNQn/vlaMxuJr6bGqTRLGnYLnBRPEeHiUcCte0MMxrm RIS08/SYEDCo8a0woiGYo/mqsj4TSdc+HdIk2MJv/FYOwT9vM/reGdLw5uZe +20GTGRlCImqENy0fnfZRYKVqTrx0wY06A94C2YR/P+/NARN6V+YJLjLzlLv /P/W21C01ZCJkZMqTpsJXrDx13xN8OnzHB6J+jR477QO22JE7EnjVttAsJlB VF4qwUco1mmRejRksm4tu2/GxJ64ep59OjTMnuxOsLVk4mh1RjxtFw2BnFFM 4cNMTNnEZO1RJfZ9wUCZPRNpvTfuRmyjgdfc2OC6KxOFnJsNegXJ9+t7uF39 mVhv92fi508qxsILO9weMSEzFntlBZOKR/wvBA/FE//yfy4qFJL6ULbKbeE1 Exqhd69HRxL9Sb7+8EMhE3JuK1n9HKm4NxeiSysnuOTA6ixZKrSK1PqaK5jo kOIJzKFTcOpYdN7VYiYUvpfb+ztSkOzzeSAmm4mKQs6EE6PN4Ow+G74tlvC3 Vq9n9kIzTuz0vPbOhwlpxmHHhIEmqMZZyuscYmKXn85NI7sm0p84PDOSY8Lw RPDmsJ5G/NE1FQj+xgA7s5A6e64RIqJlCj9yGHhTN+/QyNaIhz+zY2JcSP2b jvDUyGlA4r+7l6qlGTARebZig0sD2nLPRss10jF85l+fu2oDPooPboq+TMd3 W7nUresaUH7qe+bxteS9y7lwD6xvQE5xSFFpZQfWpPXn5u5uwDtvp0NM1w48 DVraste7AcIr994q3dSB9t+dD/PpDdj/60yO/lA7Em0+0Z9bNuLW3kGJ5a/a 0V5w4HzKdCO00s74c91sh2fTk9mMV02QPOM1FX+0HSW5a4YlfJvRKXUqoNmE 7N/982Y0qT8hLhfkrPe3g6vTa/WpnaQ/ZfKlFRxpx+HDdj+1i6iokE5+reTZ DuMw0az6fTQ4uuZzlaS0I80v9VNkEw2N+/dqCo20o9T+9CTTsgU6nynvX+3o AJfc/N5nLS2gHEuSSQztgMcpnRMVeq24xrHdjvazA22WOSdN01uxNuzT00IX OtoXWFi9frUifCGY5cYXOv67nGbct6MNOstvKPS4kf4vSsM+2aIN3cv8vVX/ MjAQlaAebdOGpC0FXpfvM1F2NDvloFYb7h34XiQk3AnmtvZaDfY2rIxao7Ar phPLGtoOJ+W2Qm/CTzJBtAsOFfH1DJ1WGPUGJdQFdsF/onA599sWSHju2Sg4 2AVP0alyR8EW7As/bfljUzeG61q+tBB9izGNsFM264bQqjOFcrFU5Nbe81I+ 1A36cqk8z5cUcFz8eJbDoBs7HK2/nT3RDHGuRcc+yW48HNkSu0euiejjgmvA WBee1OZlnp1pQBDPxF+zp12grfHNFqqth2206b6dql2YdjKS2phTh1v+nsOF 5Z14EvNSrDuzFk2xXl4T/3Wiomdn5saqGsxayL/VTSH61XvyPv+varhapUvH czBxfQv3Z1OTavhV0ji4jjNgfPrfQldFFYYWFW8lkX6Aa8+3ZJPDVUjxt48L J/ov5/WfWYtAFSQ3DtZR7DugVSJRaPfjE+5t9iqUL2jH9rXdSxm/P6Gi0z11 q2A79ljfz3KXq0LX5mAv4RtteFbXuMzqehXq7ZNX9ky1IpH9CmNyvgo1574k yF9she7tpVeM6GrsLDezc/7TggtMp7+Rp2tw5KST6+snLVhXNHDH+2gtrmUG uE7ta0GS7v6boTfqcPF97KvRZS04dZNV/9SnemDTKm0ZCg0uGxds51Qa0f1g +VUBUice21u6O9Q1gVPlvgZrAg1dcjbMT34U8MtMX5BJpqH2ZdF8eAYVvqwz h58U00gdlVRfS/5/e5neoPMwDW+/6zxQSG0Ba3t8r694C+a2C0Qzs1rxT1bW utmlBfwsuXOJ79pQ1jRSI9bYAouhG2yPS9phmdPrpaDVCvduv/sXCztwaV4z Naq8FSJsx28zk+nYNX1Z6qJ6G2otZ+oukT5D4h5Htm1RG75mvOqaIXWprGzF z3mDdlRq331X/5CJXJHaG3V97TCnWW1L5unEv9sWx/f4dYBTbuW1q+6d4N/1 /n2eAh21Rw3W3anohI/Lj/MWvaTedp3Ic5kl+1OUPDgqGJD82vb6IXcX3mrd cnN4xUR9VQfv68VOKFTeUP8d3Qk0LR7d/rETDQ/vdHCFdYEMAum7j3XiA3ub /q6AbkwK3nlwt42Jf3dS3NLde8h8lqHsJsmEQfOH4912vajRvfZjxpDUWQaH UrFaH5q9AjvzTOnIRqRY1FIfrBfyJIVVOqBUuo3FzrAfAQfnNtirtuNK/oGj LEH9cKPUJo/JtSE9br2h/ft+8HHMV4/xtMLX3mRtWE8/UoL978x8JvrimCVG n+nHODP+5HwlFYsBuziSf/SjO31O3In03wXmrLnvh/shcTJiB8/nRojObNd8 UteP6LuN70yJvgaMP03ySeiHdX6+2S27OrzNc6TedunH4Y0HXJqzarDo1d/P ptAPLy/r7i+i1XDvkjMyKe5DjEO38M+YTyikGGnHruyDt0WvrpPWR7yzcvE3 1u9FYHdkydifD9C5EBHD6tYDaXF9xQfMCnwpaOcpCunG3ZK8WdPMcshdqp95 ENeFuUMemhyjpfAQWTYcnd6JCTt69Re7EgiP6Nb/yCLv9YnKjWU8xfBMtL98 PY+BXMqhubH599hS0snf+paOiXeSauIi7/H4N0+/TVkHeu9Z3FY+X4j8ikQb gYZ2cA6e/zYw/Q5362+qV/W24YhZTbRxyjv01dXt6/7dCoG43pbv996hkWkd ckuiFZH1ga490e8Q67Lnhb9cC0Q4qafSP7/D9E8evRZtGuq+Va+NvV6IZc9D HqicpoL65oUx24H34NthKrBzL5mDSm1j95wuQli1zh0PZhPqJw6YvqkpRkA9 JU/5cSMa9N3/pXuUIvdQB1XpcgO2BKyoUncvx7eBC7uWLtfj9pEc28DhClSq yYl/OlcH2wu3Xf8Lq4TbgGq78ONaBFpRFhxufwI+Kb6qnqzBwXmVyaHaamgJ 6XqlXq3BhugSXv9jdSg3S34Qo1gDbcWXW76ZNMLGYUXnGYEajF17/9z6WzNq Nwf3tAnX4JzaL5/4ISq2e3AonlevwcYTm29Jn2lBimWB50ePGmza0Cf5naUN rPbyuf7NNTAfC3YrymhHmbvDhK1uLYT1cwsUSN8rtlgouaqjFhIFjQ5i4ky8 DNjY4hBQh91uPu1UJnl/Z0o1FE3q4b1CQ3FncDeyz7gZH97egGaz6B8623rx VNRVuWFbI6JlZMaNS/owOmOh7WnchIeOSZrJUf34bd+yw+ZWM2yeCV+/rz0A 6ct7m+xpFLQlpz8obx1A8sMV2hUvqHjziCXkjdUgSp2iw2ycaDBONzWyqxhE 6O6lHkeVFuzvb5VcLzyEa7eU/Mr5W9F1Syi13HoIFI11OkZ/W7Hu3I97J3yH kMRRqVAy14YHqtfVjkcM4bnt45clv9txs3pnl+qjIWjEuZ9uWkXHigt3OK7f GIK9ycRTg80MCBs1BrRZDGHZnR/3Dx5gwunqcOyY0BBs7W+gzbcTAxeX91tV D2K99TKPS4VdKJIVXFFwYhArVwUqBNn2YPFesFFF/QAktYO4n7P2YeqY99+N ggNIO5f63zbrflw9+Nd89d5+GMf7cX2RGYA4b3Iob0YvLLSrK+59GYDw+TXs aS+7ESMfNi8VMIjuA81sawn/lDtfet5wD+FZCn8N2xwDh1K9dvYEEDtdRcel FzvgrV8jSxkagr+EBpvvjzZwmabR3m4YRvRH15BBk1aM0JoOF+gMY+VBCc5d pD4ENpfTD5oO46tybmsZKxVsgcrWZ8k6x1uVx5s7GjEU7DpyQnQYPTJ6GRy1 dTCTyit7NzyEIEHnHZ+9amC80SD7XNwQvsZyjnWYVMGSRzV0ynAI8+sr5nj1 PuL7/GGdTYODyFGved588gOeXvpgdNRlENbLeVsNnMoxd95KXXdiAEPWmhPl B0pwOmPgKs12ALxW/kYGEe9xGf6TCh/7kb5ZLXyV/Dtczt1YFiLTD8vI/MlI vgKYeS2utST8jh4K3W2inY/bL2mf5d72gM8pkW0mOxeTuzhunTzTDfN2ixBB hxyoP/4eemJDFwbcmCd7bmfB9mu0EEs7mRdK9Vu1szKwZuBvybPHDAgurWLP VnyNfDOW70JH6bjSG7mm+1c6zls0GU5vI/Mm9bRh88p0NN8+xCPYQXiuHqt4 rpWGSr9o6mJIKzbumecvqkjFV5Ff388fbsH0SG7C9ZBUxFzS3lxA5g6vMUP2 I3GpEGXbxKRvosLSTjPv/WwqXG5b1mw+2AyjKY/7VffS4KOvwfLHuxG+unOv dJzSib7lX+YmfdRgaNwmN99XUBlnu/qkrRbH7Z3Fxc0yEP2Cz99IsAbU+ysM DKOz0Ot2UsLmdhXKbU77LBTmIOi9UNCC5Cc4SElz6Lnn4dczrj+Bnyshlkg9 7hr4BiJVA2a+XR8gyFnw0XvpLXjvrtcL/V4BozW3I2jj78ErJrspQrECEcW7 7ZYsS/GP3/uH9UgZLu/JYV9Y/gFNkfcuFlaXYmrCXTW74SO2CboO3ftdgpeb JVzDV9XghPRdj4LgErTJqpnFitWj8Kbv5UKLEuy/sUC5+6AJd0v9YiqNSyDt c98nkszr/QcEpOFeAuOvugUHClrA9SxVm1ZfgnMCpm+dxtpwn5Wv+KB5KWw0 rVVXatCRc4kzoom1DCxaJSquL5h4Zn5yxZ2BMqT/Kz7Bs7obRvo6ol++lEOL Inxlr18vtmk6hLY8rACrjoUut3s/Tp9d/V13zwdE/mORDHo2gFIXeT1zjko4 KJgUTWQNgv/XcjO+oUrI6aV8+5o1BPMXE5/y2j5C/XfeE+uoYcgy12b4dn8C ZaOT6zLnEQTMFTfYbapG5q2lI1nyo/D4e0hj3+4amMjW2JlkjuKSSHBho3Mt /J7WyS6sHUPrCwvfg3F1KN45PnfebQxB4gGBSlP1ePTZY/rZmzF89a1hqzRv xF1+887Hw2Pgjfobf6amCRGWx0VvsI7j0rYL8t4WFOjsMbVy4RuH646oBSkv KsTPKm/x4B4HbVrVIIjM+fq69gbBv8dQ53Sxf/paCyKeL+a9oozBffWsiE9m K0IfXXsZFzaGyeSxyA1ER6JuZifH7R7DFav+W7f3d6Al75hhZNsoqofctbbk 0xH+kHpPzm4UcYcM/5OTZyJ1DZdbJWUE4tuuaitld0Jrnbxywo4R5P44UXFa pxsU5cpCZsAwFg40Pj7c1QOBCJ35sx+HcHGf9MvSG33YYhh7xWBmEMnzIenK D/shvGPn4cs8gxAQ5WG/cWwANI35X9yiAzhptRQ2qTCILOdDXV78/XhpXp95 ZWoQlbPTU6xzPRhvVP6y4+4QfvT0Ce9n78ZIzwrtdMFhGLbXV8St6MQD+Ref f4QNI39s14l7s3RonV40bZwbxvbap8w6ejtkfuh2vlYbwQkbNd1mQTKfbTm5 j53E1SrCbGLaogVR/+07buw5AkWhmu1CT6iY2ZHuKOcxgiKJG817m5ow8HOO WWE1gguF2hx3Qkm+O2t0h8uOID42XVudrxZKMuKNISPDOCD6zEosvwpWuvNc s+HDaHl67c8vn49Iazq24L11GPKZ3MG+Vz+AwuXfeeTtEJyi5533aJRj9OFX sZ3KQyhJ6lbqGSjGlbNjf7jiBjGm/jly90QhrFbtfLiedRA6RZr8Vvvfwk4k 3rrOfgAZlw+XySx/A8N9wb89cvvxpNc2W29lHtqGtmqcYu3H/O/eBt8jObgv LTZ+/mUv5EvOfk1rycQH7WYRv709uFOyNqztxGvYL7vRqTXShdD/ytIL7NIR UxwWaxzaiWuXb1pVv0rFjNyTtY1gwn/YRXJBPwWmkvsdL/6hw5OiVlkhm4xm u1Wds4EdsFeZ1RtcnwTuybpcRZl2XN9Ydodq+xKZMpt9l1pbcVh38WVrZyI2 2vBRqVEtkNPUP3gsMhESL35W5LnQwB0XZNt0JxE9VjcWXaypEAtKlhJMT8S0 w5VJ+YRmcD2usYn9m4j/eE7VahY34tE9yeS1AS/hLKZec/ZhPVxl9/v9vpCE 8tLVYV1ParGrvv+fd3oyZGX0V1Y0V6PRyPICj2YqvHxYhPftqEK1M894pFI6 3j6Xtkgs/4gdda843YJfY1Fsy8VdHpVQ9c8r8nfOgqJz6Ksw0w+Q3u6WKDWY g77dw00WRhWQfHbcbaw/D+qJxiYqN8qwP6HCRf1NAe4Xfnl3vqgEmvMrep6s fY/tyzseRRgUQ77ojB6fXCmudHl/ey5WBN3gu1/Lf1Xg/pxNleDu9xjzN7SO rP8IB8Njq8SeFcLAf9WfGr4abPZu9dTVL0QDH1u983QdUnof7MsQKYSGvdw6 q41N2Kl5f0aYuxDUeyKcHPupCMt8cOycVCH2x/5ILFdogVNvYm3WkUKc2yFT 36nYhoU91So8uYU4IbS1gGnSAX6VoKfNcu9x8jV9ptyfASke5712pe9Ry+K1 Xbu2E3yKVoG73IpgGj71559gD/S69ctMNhYjtehNWNNiL1wNzq4e6CkGHm8/ IHWpH6u5doUM5pVgXZ8IYyvpA0K3ZN4yjinFayv7zQpag1A/YKgoEV2GOMNn Miyk/5P2UvDyzCiHTjCvw8Ag6Qe5/pYXna2ATsLMd5vEYbQVjXC+5PiArHCD YCPLERzJlPxsMf4B4Xf3Hb2zaRTySyqteV2VuJb+Neho9yii/o4HbBr8CMf3 XYvMa2N4nhk6Eln7CSIXE2ryh8aQb2754mZJFewUVLS3aI+D84LbVtmyasyW rpFjvzuON5Zlxd1NNeD7dvCMYuU4WB78JzTzpRaSTrAMnhyH8A2Ha29E6/FC /izv6lUTmIs8auhp1QAlM9eM2PUTsOTdnBAc1wh282Z3bokJlJmnZmr/bsKg 3/xPybUTmKrm3Og/Q8Ho15QX5kvjeHqxnKNqOQ1hwXWzTOo49uj6rHURa0F/ a+2Df+HjsK/4WNpjSOahPF2for3juCrzOkU8oA0ygz6KH4g/c7z7ClY1teNt 4j2b0CvEvz13luvK0lFf5lp6ZmEUipQX9FcLdJT736flpI7iw4ZDvX8oDGDv gw/Ug6P4P82sN3U= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.3749999999999999, 0.2499999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.3949999999999999, 0.2699999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.2749999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdQVle3/7H32KLGhhK7YjeosWw0GrtBUWxYYosae8FGYkGMvWJDo9gQ G/ZueBQVFBGRjqB0BKRJs+vNb+b5rDNzMhl+Tt7c+7735i/mM2uvw/M9Z5+9 19p7r2M2dsbACQVNTEyGFjMx+X9/ly7+0MzUMcLw/S0Hw8iOp1U3j+nBpwcH Cpct6PFyZV8v4aGmiyqcuXhEGP/hPZ5E3OjiKf4w/jD+MP6FT74KHTjBV/xh /GH8Ya+EAk9sY8+rISVKTpndLVDZTnMxK+HvI5ySPTpl1o5gYdqbX68yqYNN mLSHaQ/TvsCMehMLT3oi7WHaw7R/vqnq2cSOMdIepj1M+8FTare8fydO2sO0 h2lv+KbB6VP9E6U9jL1RzWbNnUKTxA5j35rXxn3BmOcqdo/F8h+mhRqe2u0v 03zcTtXX0G9AzmI/YZ4PfHi1bcfWX18Xxj+1eaHn66/5iz+MP4w/zPOE25xc faT4Z1uUZ2y5ZJsHwWpVQIMdDU+FC2Pfvs30Wa2ox2KHsU/taZ6QlBkl7PJ+ z4uhy2KFS4YenNmpZILw3NPHMsy2PlN9K+3sdG3Joz/Yn64+M71ojRThnuMu p6UcSlW1T5e7u9vFU+zcX+z0Z+4X/RlGP0x77gft9feH/ox+GDv9FzuMnf4K 0x9h+htM/+L+wNjpXzD9i/sDVxwQXzRqwlF1YM/KxiYmAWp34Xdbt68NVOPX T9hkdyJBeWwImzvwspdqZzlng/JIUfYbp/w0bPR6wxdmqcsbDXYVnr7yo03b dD/VPu6WZb+DoXK9Qgc3W/iU/02ln8h7cKZgqrTX3z/a8/voXzD3E73YYf39 PtvRMPVh0wzh9w87NB2ZnKZarnMO67ow3GDufmyw+cyZauvJgCbrvg8WzvUr uSS41yNh92jHQ53G+wjz/sCz6uT19m/jKTzJ1zf2TsnzwrxfJRvtu5Yx+qr0 L5j7YWG3+bf6/S8IR0WcuHJ5lkH8m79JCV9t7S3+MO1v144fftjntrBz4Iuh 0yPvyf3n/r7pM8nP8MxPmPvH+8n4BvM8L0a4HbY78VR40+MhW046R4s/7zP+ MM+P95nxD+b3VHuT9DApM1HYb+LUsiO+StL6Z9VFZer2SBN9zHcw8xesn4/Q S3+G+T36/g+jB0Y/7yf/j+fN/eB95Xqna8daFZ4UL/eD95PfsyIwo/+Dhcni z/jJ/4f5/30LHqi/pU6k/H7eB65X2m790fhVQeKPnd+Dnfs7dOX7vtvXpst4 5/WLIXVJ34TOjHcw/Q/mfaiS9L720V2PVNCK4mUa3tHGv5Jd/GtMfx/+h/l8 eqeWWfULxqtB39SqVzQs4A/zZ9f4+V+89k1Wy+skxwcl3ZbxyurSwBLT2pyX 93lsjZr2ww8EqllhiX0cziWoBSfWd61fy1upOmcmN/FLUSZbH2SX/+m8ehAw 8JhjTJr6dei6DzftnFXPTkd2LhySoexvrry1wDK0c9kVYWfTp6wRfjz4+Zg5 d/cLB0Vs9lvmdEnY0u6E28gmvwk7WY+PC0i7I+zjMsvf8spd4b2Rhhlni/ur V1dOpd0KDDMce3lhy9Lf79f1d7WcbA75C3/4ufa8gOQbwtxvOPV5x9g7RwwK 5vpzNz6YtrhasHA5i0HjWy0NURavTANGVfWX9rMvuDfx7RkmfLZiXPbmV+Eq cciUiVH7NP+eXSN+7Gb+WDg+6fuxbzdHqOIVF8Tt9QtXmeU2rDl4X7Ob5iZN LtM5SvjJg7YtYgdEq2qXh0/bmRmmfv9fwbGLotSe05GZD/eHqZ0115R/0ida 2r+2ftv6eYNY4R5HOp/yeqzxuKYFzz08HS98Zmn3ZsfHJQg/KFqi1fn2z4Sr D+97cmPqMzWwbtaWb2YGSfxg1eVU9zMtHqkBlS3Luy16pi4/+yFzk6u/avo0 58n3IZp/2+iyZ3Z6Jgs7trY2nzsvRXj/lcotfuqTKpxRevjxoR9S1XjbcS/3 nr8n8ceKQgMnxEbeUL06H1n3elSqjEely9wv4RCSppIKzba0nWyQ+KSN0+LC C2smeBB/cH0Z74ws452R9fE6z5f3F+b/6/uPPl7HzvsKE7+Etg6buOZAgPjz fsPEM743m24uPSlc4hv8d7jYbW59O0LaM546Tf0+0rtImDa+Gu2Mp7A+/pl0 snZGse7a82N8hfXxT+3mCYM9XjxXXQzrTz1rf0j0JcR+PSpks7uw3daQRSaG QDX6WIMLa/YkqKHWvl8d6HRXDZ6w8vNXy7T+MCQ19VBUzDHhfdZL/Ercf6BM yocP9nsfItdLurq+2m2vYJV2z9R5dlCcuri384iKb3zVS/NhdUc2TVZjfhw7 bXexXQb98yl50St9+2btfhM/Mf/QnnhH78/8RX7AeE1+ABNvwNwvaW+83/CX x/2sbd9o+cCmiI3Hjr4LV3ZzLayGvA9Wi8Ku2bf7GK5aeH05+3DdMOUce3Hd AF8tP2jY5775Lz7hanzFFqMrZj6W/h/k/PqHfkHpwpuerpg14JcMYcZ/9DAf 9S99PWVyXLihhffanobBLp0/L73Qq3pZje2anqk64WWQ8OmmOZ3O3Q8W5n5w vQrfmW9+d+6R2MP6J091j/IXnh3ddWnGxnvCKdF3765td1+Y+RHm/nL9E3Xa zzAtcUvsFnXO1V8+5qZw+v1vnRuNPSsc6zuwydhzF4S5HxJPGp/3znKbT9wv dk57X1xsEkr8Pg7RXuJHoz03bVzA/CO3hCcXnR2z+6OPmjLK8dZN08fSv5rt z508KOORcLz3/dp+S24JW1VasOGmy0XhpQ5mbX3mnhGuNjxxjd/iq9I/+T30 H/7/Idt+Cf1eBgo/nRSUOvr3uGflkS2vbu55IP69HUztZniFq95L97yPHBgo 16N/4b+o7Ii4yiXChc9Xj01peCFS7Twaf/3g23DVeF3N7bscw8Sf+Jf2/T0n xURVeyrc/dn8nAVx0Wrv0zaN9/mHSbzs3Nrj6rZR4epx92MLnu96otpVHHk8 97swVdK6ef16/tFyfeJjrrf562szBm3XxrtTN36eM3JqnGq1r6d592KhEk/3 vPPmnevmULVsTKPDbuExyq2oz8NYx1AV513Iu0NSjFq5cmFZy6xgNdxCrTlx NE5Z3B/dpsPlEMV8Kv3FOB/y/95W9ExvV0ubX6s6O2Z1yU2Q9sTr2Cek3Z1W 0y1R2GHOuln1f05Sefsi+7iUfiTxfbOfbaIr/vZQlbtc6MVYmyRtfjPOj/g/ 9HqYWqClNt+m9d2aWbLYc2nP/Ii9vUvIj4lXnmvjb33nGRkb05Tvkt8qlyoW Iv1teMQzyzLXg4S/dByxqMOp+8Jfdzztp6reE+6dUnDfoGl3pH+1au3e26rQ XeGxrcofrZIYIBwUkvhzpZZBwsTnM1pN+ey0Z4ya6ratWM0Qbb1o3fyGHbdV 9ZP4n3xnWgdP/1s7k5RLrwfRNQduk/f70tqv28+vtlR4fFqNkyNvhauVoSHL 0tsGKqvRRZx8PIKUYdf+cvW941W5uktvLJwdoJ5O/HlSxK5EVbfntNCp1XxU 3GB/72cfk5Vz87z5fUreVonz1tZfuPO5KulYw+HNjHDVbd510zjLJ8reM6nn 5Qkukj8/vuh7w3/tWfVVkeke56qkq9jujm5Hux5XbWdeLV1qb7rkw90Dk1uk DLhsIP6AiT9g4lkY/7u1fGO/aLJJ/GH8Yfzh+mcyvonyeiL5RstLhv7138YK P9z2y9vICs+Ep839zm1r4+fCpayrDO7dNUM4eGfGUpOTL4TrrrIOjbicLTxn /qWml27nCntOrL5ii/9L4fI2Sx5Pi3wtPKZ7XIteSW+FT7Xp8UvdnPfCH+sc f/Lx40dh9BBPoQdGD4weGD0wemD0wOiB0QOjB0YPjB4YPTB6iP/QA6MHRg+M Hhg9MHpg9MDogdEDowdGD4weGD3Ep+iB0QOjB0YPjB4YPTB6YPTA6IHRA6MH Rg+MHsYn9MDogdEDowdGD4weGD0wemD0wOiB0QOjR78+T36APhh9MPpg9MHo g9EHow9GH4w+GH0w+mD0weiD0cf8gT4YfTD6YPTB6IPRB6MPRh+MPhh9MPpg 9MHo0++PkK+hF0YvjF4YvTB6YfTC6IXRC6MXRi+MXhi9MHph9MLk4+Qz6IfR D6Nf1rON+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6P//CCzkNrtM0U/jH4Y /TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPo3/yzUOVtv70QvTD6IfRD6Mf Rj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+k2bNRxcxDNL9MPoh9EPox9GP4x+ GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6A52PO80vmiP6YfTD6IfRD6MfRj+Mfhj9 MPph9MPoh9EPox9GP4x+GP2rijUPSu6dK/ph9MPoh9EPox9GP4x+GP0w+mH0 w+iH0Q+jH0Y/jH4Y/Z3nnq1ouzFP9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+j H0Y/jH4Y/TDrwayfwKx3wKxXcD9g1iP15wVYX+B+wqxnynq7cb30s1JxucMi MoVvz5/4lW+tLOEF8clzO4/PFm42YNr50245wnG/ZWZ/mZYrrNenX/8m/oaJ X/n9+v175guY8RNmPIF5v2D6W+jNtWmFrkX8YT+T/UnWI9iPjPUe8ap3RrSs 78Lkq0td6xwuUCxB7DB2U8fnAy6bJosdxn593LkP0y3SxA5jb7r/t+AKRzLF DmO332Rmnn42S+wwdt8ljsvveeSIHcZebUZy2CGfPLHD2KeM6td8acgrscPY L/c74zgi9o3YYezFO1WKtEh/J3YY+xDzha0qvPkgdli/HoCd5zf/O6eG98qH yvNgvZP2MO3ZL6b/s77D+AOzH1wme+m64v4Zsh/QNmLP5NO2J2T9BWb/YWbt yFZmlueEN8xbNs20/QED6/O0h1m/Yb0dO4yd/w/Pc7F2vhoQJf0Xfexnh7m/ eF2xQLzY7dZfcfX5Ikn486nLrJe1SBUedriuSY26mcJuTqtsXjbPEn7lkHoi oEOO8LdzrAq598gT3j72/LDV1q+E4wd8cXr86DfCbbrYF7X88Z2wQ4to2+rz Pwg3aViheImfPv5BT0zD3UdOOofL+/ltj4hHtaJihN+cG1V+S504eZ7E03Le Q3deQr9exv9bY1h/sF1ujDDzCdxw72CrjNKJwswvsJd9zfeH66YIM9/A40ck HLXtmC7M/AMX+NXmeInGL4SZj2CrdVcLJHyVLcz8BLssNh16o0uuMPMVnD5l ufvufi+Fmb/gzsMTC88f9lqY+Qxe16v3iIET3gozv8GR7dzPNJ31Xpj5Tj++ Mr4zvjK+M/4zfzG/wZzX4HwM8wPzF/MbzPkPzlvRHzjfwfNlPOH58/7wfLHz /LHzfLHz/LHzfLHz/LHzfLHz/LHzfLHz/LHzfLHz/LHzfLHz/LHzfLHz/LHz fLHz/LHzfLHz/LET32Dn/cbOeM36KOMZ77ucTzK+v7zfMP2F9SD6l75/sL5A f6M/sJ+iX6///z3v8+9+vof9oICrEWZer08bYF/L5RuD7rgahrTf51mjY/Sf nn/JrfLDjEDreLFvzWtWY82PScItg/PuWjqkCicOi7q6uF+msEWvb8oPGZYl vLLdkR9aTcjR9osalPIoMytPuG6VGZ8n27/SzucUDZxye9UbYc9ci5v7nN4J l0twrrLY5YMw/Y39eP35nPzO33zq+ZhPPd/C/e9oUaHKQfdM4dioc0Hlir8Q zjywzaZStsbb+7b93KFvlrBr2arbf2mbLdz3ylXr3E0aD7ffE/x6cY6wSf3O W38I1rhccq1KU2/kCl/ccjMgvGqeMPE6rJ8v5fkbx0+Y8RJmfIQZD2HGP3n+ xvEOZnyT528cz2DGL5jxCmZ8gvM7f6M/b6M/T6M/L8P4oc9Hgja02mSzXjtP R34i58OM+QlMfgKTn+zNcCnoWClC6+9OdmHLx0QK6/c/8zufo99Pze/8DeMz 7xP5DEz+ApOvwOQnMPkITP4Bk2/A5Bcw+YS838b8ASZf+LvO4+j3gz02RfU4 NttZVejuMGDCEO08juQDxuf52crIb+xXXhDeO6jADv+huw3/18/rdPSbdKpD 06g/Pb9yrbv9ikHucWIfVrdby1Je2vjysmDppzefaOPLtpjANQtytfGlWvSD 3TuKavPPlIcts2ZX0Oafyx7bevY31eaf4u6v9zZqrM0/Nr+OzC1soc0/rutu 9onuos0/eYvrHbjWT5t/9s4Z0u+o9Uft+pG+npNcNdafr/nU8zL/6vMv+Z1P 6f9Fxv20lteU5Uiny+/N0lT0VzWbjZ2inc8knn68Y9mNcymp+Z6P4P1gfYn3 YWWjrPOhEzTenhpoEWn1Qtqz/iTz5/Z5Ob2OaeNp32FD7Ppvy5L2rE/JfFrw devr6Zq/idfjCzfCs6U961cyv86wn9OstcYXW43KbWWaK+1Z38JuG/nxrMt8 jafsi2lzeGye5Jv092k2XzRbeCBG+sORhoWqvuqhzZ+lvop+3PxqgnD3Yvfv uI9OFD5a0e2XxEfJwnEJW2ZPmJ8i3CNrRptff48T4WW3h9eqsTFdeG7S7syj Jtp8u2FA+YmTrTX2DP34rWNpbf59ajnverfRGlfwHvfrmC+0+bhZi/AKtX/U eMxF7+wOdbX52b5Wp8lv7TQ+fbhJ7yottPna97P9hpDlGn9w2uiS1UGbv6t9 KFz57AaN+6/IznvQQ5vPp6RNmrreWeO/et7oX35+yNgfopdYvZxcWtvPI98g P4CJr2DiK5j4Cia+gomvYOIrmPgKJr6Cia9g4iuY+AomvoKJv/X69PEjjD4Y fTD6YPTB6IPRB6MPRh+MPhh9MPpg9MHE95xH5/nC2Dmfjh3m/sC05/w67WHa w8zP5J/krzD5K0z+KuvV1G8Z81X8Yfxh/GH8iafxh/GH8YfxJ97GH8Yfxh/G n/cbfxh/GH8Yf/Jx/GH8Yfxh/BlP8Ifxh/GH8Sffxx/GH8Yfxp/1Afxh/GH8 YfzJX/CH8Yfxh/Env8Efxh+mPfkP7WHs5EPkX7Iezn6WsR5E6l+NLPWuOjvn wWX/i3pi6mmNdtpzHhymvoDrSz2x0R/m/dTXExPvEJ8TzxD/E69wPf34otfD +EJ7GLt+fNHr09cD8nu5PzDzI/V8rL9Sn8l8S70rz8/Ebl1dpyE50p7fR7zI 9Vjfg4mX9PWYzCf8HvZXpD7e6M/9lP05I0u9rPH+S72skbHzvLDD2NkP4v+x fkD/hHl+5M+y32Nk7OTT2GHs5NfYYezk29hh7OTf2GHs5OOSrxoZO/k5dhg7 +Tp2GDv5O3YYO/k8dhg7+T12GDv5PnZY9tOM/Yf3mfcBpv9SH0w9NP2P+meY +maY+maY8VHPsh9r7N+sf8PsX9LfWH/AX+o3jO1ZH4fZz8SffBJ/qd8wtqd+ GaZ+GX/yS/ylPsPYnv03mP03qe82rp9KfTf1Fcb27K/D1NfjTz6Kv9RbGNuz vg9THy3ffzCux8r3C6ivMLZnPx+mnh9/8lv8pd7C2F5fv89+BP6sD+EP0579 J5j9ZcY3+jP9k/Ga+nz6F/MnTH0+zPwL8//kvAD12tQrGpn4DNbXd0v9oZGJ h2CpNzQy8Qqsjz+Y/3j/XA0+hUdc0Jh4gPEcO/ebeIT3MaZ5wYmd1mjzrX7+ JR7hfm3f43j4lN8Lub5+fiY+4f73KVEiwaxitvw/3mfuN/+P8aJj4i1HO3Mt PuL6jC8vBva4kzRTi4cYL/h/+utj5/djZz60rxS3/pLfeYkfWK/DLut9xvEQ e7m0mv61ewXJfE2+hp18DSZfg8nXYPI1mHwNJl+Dyddg8jWYfA0mX4PJ12Dy tT+rz+f9PHT0uJ3/Ji3ezXSo9cH/vfa8DlXeUmRxt2xlF7Qybu68h6rZsa9L N9t50FAjoWqp6wMC1J4lll0bd930t9fP+220zl3TKUzZNC9VYUzNe3+op6/8 7cUHHb8LV+M/7l9Sb+n/fH09/Yv73a6d/RLD8HCJL/Orr8+vnv7vrpf/q/Xv cKmtNU99H5QuPCxxTONOv2Qomx8c3RtbnJXxwmd2SkB2qreMDzO/LB5c0jxI xkfJj1b1Oh84PUeVG5fx8vPjD2S+qHwsdMSVcH8tvsunXn5lkXA763NafqCv nz/bYHvGPI8w9XfV0+dXL6+vh8+v/j2/eneY+SfS37VRpNUNmQ+YT9pMdLhe uN8LtWBXGWvbjIcy/jN/TG3XYF63w1nq3b72owY5hf1hfjLb27L7rchs5d5v 5LBpCwNV1sn+gU3fHla2XcoccHMIVF1K/Tp0jr1rvvX29oWery3z+KLBZEd0 6N5yL9SaJp/Xq17vvmHnZ33Gvfk+S1laLf7WITzYMDdmyGPvA9lq72znnsd8 76nazYuUPVjukiH61erYAd/4q6Htdr7bNGWPwaNPvWOzKvrJ+G+xzGzdkQNB qkLK130eOJ9Vef0+hJ91CVErZpRq1OL1DVVt45pVLjeC1eV3O9xy72j9g3r+ nT4Dl6qYMNXeY6Lb9+MfKItLwyPcpu4zBFXPeX5nTKba4pX78VmTW4bEnMqr N1x7oaZ4ug7ofPSRYcyFQeVtC2erUY2KuvWu/dhgOt588qVOOWpizMT1v0Q8 lvyx5+rXjsO/vveH/I/ff3lFTdffcgOFf17xeNkMM40l/6z8skH/KFfJ35kP 1hwold508jVpb3+wypKJVz2E32yovstlnbfw8g3brArH3xH+q98n6LqwpnfX 4wF/yO//7HsFlUdP2zb2lK/6bHbJ3tWXnjZ4TfQPX7bkvuTD1y1N0k+cCFYp w60thjS5KuPvpkObK5uuvqIqdx50IrpwsOTv/+rvH/D7ub/673cUGZi5o8ql E3L/zKzC5rl+7qrdf933Iz61np/8m/9fY9yBZvXbh8r1bcYlDJxbJkw4p8vJ j43rRQpf7TIlItIqQph8Xc7/1G61auukKLH32vR1yEzTaOFdS/aa920cK7z4 o321ejdihMnvud699OiZJr5xYn82vaBDA4t44bajJoYX7JooXPVpN++I0ARh 1gO43g8P3Gpeinsmdsd+Ps2f9ksSDu7YbOWVYSnCl66XnrslI1mY9QOuV+TE TJ9pb5+LvY75lkinCanCc6rntZo5K1148O6g2r2Kacx6A9cb2H1Phy0lMrX3 p8jJ24c7a1z8/dMZW7u90N6/jn6JS8pqzPoE13NpY7JlWqUssZ/OKVd9WW+N h6Z29ZpulS3c07xVpxHVNWY9g+tl1hmf1NMsR+wm8XNn2dpo7BbhWqO3ba7w zurbt1o00Jj1D67XueLdznWb5om9f2CYd9uxGuf5lJxTb9JL4cSSb5LLt9aY 9RKut6Gg+baP7V6Jfa9nR9OK0zX+9ur0eyZzX2vj+5uRlmmdNWZ9hetFvtj4 /HG3N2JPPeMyN32hxk5HA2pFLnkrvCL55va7vTVmPYbrmcdkd7lo9U7sHfcX vn/PUeP4nRZ2l9a+Fw4Kq5d20EZj1m+4nr3/kJ2bbT+Ifc2mSWaHN2vcapWz 75YdH4Xr3l39zZKxGn/q9z0Crk15vzQ9VNaHfHza9tw+NlQ1Sjpb237RbfXq eMZPje1DladDzNRab2+r8QX83bqsDlO957Vx7f763//7IPl9r+FTvxfyqd8H +dTvffzd3+f4u7+/QXtZ/zHaDy58kuLTNV0dNb++7qDz94Yau/b6ZBXNlPWf HtXMm4UMdTXsHVH37MiUEFnP/7u/52Hb8mWBrpO3yHoK8YrXFWt396aZKqm+ ahb8OtRQIWdX3yuZ2vrMpH4F3i+rn6MafpfU6/mwEFmfsZk9oswiJ3eDWfWS uwddyVRd25woEWHmbfjyoXO3nmWz1PQ5ZQt95xFoOFvD3aXUoGx1e90Gr91r PAyzN84/cGjiCzX2RNOBbl89NHQ/1yDh0DmtPpB4ECbfIb+AiX/06xkw6xkw 6xkw6xkw6xkw6xkw6xkw6xkw6xkw6xkw6xkw6xkw6xl6PfQP9MDogdEDowdG D4weGD0wemD0wOiB0QOjB0YP+SZ6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdGj /x60fj+UfBK7fj+UfJL2MO1h1gM4L4o/jD+MP4w/533xh/GH8YeJ91l/ID/Q 74fJ95iN8bR8v9kYD8PEszDxKEw8Kd8DNMaDMPEcTDwGE0/BxEMw8QxMPALz fGGpxzTmJzDxA0z+h375/rRRP4x+GP0w+iWfNOqH0Q+jH0Y/jH4Y/TD6YfTr 97dZr6K/wOSTrF/Rv2DyT87f0R/19aSM9zDjO/0NO+M//Y/xn+fF+AIzvsCM LzDjC8z4AjO+wIwvMOMLzPgCM77AjC8w44u+vzFewow36OP5oA9GH4w+GH0w +mD0weiD0QejD0YfjD7999ZZD6V/MX7Snxgv6T+Mh6z38D1u9mfYf2G/hP0W 9leIVziPwHoK8Rj1m+zH8T1q4iOuz34P+0ns77BfRLzE+hb/T7++Rf9GD+cN 6O/673/J+Vjj70Ef/jJeGu38Pt4X9NKfiC/Qy3oR75P+/Ae/j3pNmHoumPo6 mPpUmPo6mHpVmPo6mPpVmPo6mHpWmPo6mPpWmPo6mHpXmPo6mPpXmPo6mHpY mPo6mPpYmPo6mHpZmPo6mPpZmPo6mOej/x46/YX3i/GY/iTnp43t6b+wfv+V 8Rp/OU9tbE9/h0eY9+/24HWO+HOeGn85X815hdiy44vu0bjcrkcOqrN2vpp4 BL3Mx7D+e+hSj2NkqccxstTjGJl4Sc5fGPeX9fWDf7b/ynrE//X910/db82v fjG//Vj9fql+f3TS6Jt9r4wPVz/b33M9kvx7vKOrh/xPr3/8q/WG+v3I/OoP 9fuV+dUj6vczP7U+kfeP+VC//5Df/qh+/1O/3/mfXu+o31/W19/kt/+pr1/M bz9UX9+Y3/5ofvWP+e2ffur+aH77T/9d+6fUN/1v3x/V12fp9zv19Vz/6v1N 4lnGw//0etZPrS/9Zz/0n/3Qf/ZD/9kPhf/q/qb+/J7+/I++nvt/W/0246t8 D+/frN44v/3D/L4n8U998t9bn/xX90/15+v09fP57a/K91yOj7i6IneOIb/9 1v8CceX1DA== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl2dQnFUUhs+FBAmw7MLCrkJ2wyIQEggJID0xITEhCTYgGisxYEk0gi1q 1PSCP+yjY++99xnbjP7RcUYdey+xlxm7YxnLjO/reRnz45l7vvvd797T725m aLR/JMvMosEsG+MhoA1kQCeoBnlgGAyBXHAk6ABV4DDQDipBEsRBCegCNSAf rACDYALIATjKeOZuGnnuFrAZFINpoBYUgK16N0PvuXcRmA4iIAa2g22gD4yB HWAANEifhL6L6dt6yXGR1Jp86Ue9ZoJuzbfL1mz5plJ6p8AeoAzMkjwZnAjW gN1lK/ecCBr1Pq39E/omT+9zZMeA9Bz3EedXg1WgVOclpPeg1mRrD+41Sd/k 6zkm++PyUUy+G9Iafr8RtEi3paBHz4tAM6jQGVWKY5b8kC1dymTLGslJPadk 8zz5nTqM6BzON2kNvzkcLAd7gr0VY+p6IFgMZoN7uW/w2K7XeeWys1q206aa Xeaman4OqANRsK95nhWIWn3HeGVkX4vspq5zzXOQ+bk/aNW79bKB+i9UjLl+ gXlOTFbckooB927T/qeAg8FeYAnYR3vRr+3ybZ3O5rkN8mNc9nXKxvnm+UR/ d2tdQnFLS0/a1yUb95MvovIx/RpRbDsU33rFgP4fVcxSik1GfmqV7tx/o9ZM 0dwizTfLL2nZdITOoW97tKZHPq2QLoulD3XplT5nSe/x2B2g+FGf5dKJfaAf FIJl5nVEuUgyfXic3nF+THJU3/XpXMbnUMUhpnnusVZnF0inQcXoWH3Pb08F R+k9xxW7rKWcq3GlZMI6ZA2eBo7WXL7mCzQ3rPnTdV5Ec8doDXsNayEpVmmu VHKJ3rM3lSuWjNd4fq7Weo4nSD5ez6XSb1A6nCk/0ocpJMJ9Wsv+vEXrl8m/ 9Ps6xS+q+XWSz9Be3Ie5xHpg7jDfTjbPJebVJvN8KdEZ3J+1cpLs6JXfJyjG mxWvTfqe+7AWWSesEd4PdVrbpL1S8g/rmbW8QXK5/HG2fDKiPdN6v0F7MA5r FYuViiV91S87aSN7+3bJA3oulM+2yq4B6Vesccz+z09+y1xkzzgXHCQ7dmjN leAD+eNqkBNcl2vBpOA6ztB5xfLfqGxnzTG3IrJxVH7rk5705zfgRvNe8jW4 wbwPseex3zGXvgLXm/fdC+iz4P2LuTws/9wNfpAun4CbzGs5D2vPM+/XXZBn B8+VDoydwf0Yw3iLed+aAvkB895XBbkyeH5Px/iI9CqFfKd5P5sJ+XHzntQE +UnzfJsK+SHlyOXgZ/n2W/CdfPwr+M2817wEksF78S/cI3hMXmG+BO/BT+g8 nvWUzuNZLcF9RP88C1qD9/Hnwafm/Y+++VH+eQ60B+/dbcH9Tp+/yBgG79GP gYbgNXM/SAfP2XfAu4ptQfC9/rsDgp/Nc+sgv674FQXXgzrUQn7NvGYqgttG u14Fc4LXwwKM55vfJbMgv2ne6xPB9aNuZcH9RV99r5xgPnwJvjC/22nry7L3 M/C5eX//EFxn3nM/Areb3wHPgKfNe0YP9n/b/A5ZCPkN83q+SM+U3weXmf+u acbcW+b3E+P8k2L9HrjU/B5eEjwPOL8TXGjeBz4GF5vXxSU6m+fy98g95vfu Usi9weuT+VijnKxmrILv87ByjvlGXRqD69ONcT44B3IkeL2x1h41z+lGxXme Yj03uE7UJxfyNeZ3BeupMHhN/Qn+Mr/P/gF/m/9mz8b7rOC/5SdivMr8vuLF HoLf0/xPcLP5fXOHeT2wFm41r0PW4IPmdcga/AP8bv4f4i7z2mPdMb+mBc8x 2neFuY0vKIeYP3GMt5nfK/TTTvmc+VWiNczHTPCcZK7VB8+3fwFjh/O8 "]], Polygon[CompressedData[" 1:eJwt1HdsT1EUwPF7a+/YjVqttlpqFL/uamuUtpQ01I5RIwg/s2ZE4h/jD6OI PWLvvfdIBAmRSGyJ+QchEXv7Huf88cm597373rvv3HNv+LBgwfgQ59wglMZC OO/cQEISLmE18pCMr1iARPTFLTRg/BhibXmU9l9ipNN31KC/jdgM7fET3xGB fmjB/ZPEiQhijcyDa4OJQ7DK5iDfno0/+Iw+GICtqM74NPtGKO098l5k2Fx/ 2LdkzudxEQnIx1Jk88xcYiOswDJ0QS6u4gm6YSpu4Cm6YyZe4hli0QPRvCsK YbTHYTmWoBNycBTNud+RGI/LKOP1XyejFu2dMgbpOIjGXMsitsIVlKc/nDgF r3AfXdETIdxbZPmSNT2MGK51ILbGLtTxuhZxqE/7AHEsRuOe5SjfcnAdNRkz ijgd11CN/khiMd7hveVa5vzLakhqpz+aMDbSay5CsQEvLFeS0y14gwKn75Ta KeV17lJDKV7nIN+ehrdI5doMYi80pH2HOMv+Qd6V7HWsvPOBzbnYcvQFnxBu NRTG2H3Elk5zvBf1uJZp1z7gIwrRG2lea0DWXuZwBm25lk1s5zT3WV5rVdYg j3aO12fnSx3QPk5sgzmoS3+3rYV8U2rxHDHgtCbTveYw1P4xk3aG11qVPVOC XK/vljmW9VojUhtD8dhqTGpL9vAFrMQkp3uggtcal9oegVNSJ1zrLP+FdShH v8hpzd3FCUxwWtMbUZH7TYlRkmOvZ4KcBfPwHK+d1qbs0QTuB7yOTcF2W1NZ S6mxcO4dclrrUrM7cNPpXpA9J2fHb6utCFvLb07PIlnTWJ4/4rTWZY/F0T/m dK/JP8XTP23/9n/N6J+1tSu03JRYW3K0GZUZk0qMwX6ne0b2ipx5m1DJ679E O127R07PjoDlbr3ltshyJ2de0HIotfDQ6dkgNZHEvUSv75JvVqVdxeu35YyR s3Gtra2ckYutpqSW5My5bWsguZcz8B88Zp0M "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXXcllUShnnPoyiYiL3q6ura3d0tigGKiISJiAU2AoKiiIRiYSEWGGBi IAqiYq3d3cGK3bXuzrVzPb+XP+ab0+eeOXPm3M/7rXDIcfseW1q0aPFk/KlC bxj62pDrGy1azAy9UchdUWbQnqH3CTk+ynuF3jfkrijfGdIh5OiQXiHto/2W 0DeHtAu5KWRCyO4ht4VMCtk75I6Q20P2DRkZc84MGRQyOep3h+wfcn/IfSGd Qx4ImRLSJeTBkKkhXUOmhTwU0j3ksJBDYo3jwNnI8qEhJ6gPC+mjPjykr/qI kBPVR4ZMjHVuxc6Qe0PuCekUcpL9PUNOCTkqpFfIGfjIfU8LOTqkd8jp6mNC BrsHa6xbcnw/be5rX/85sA8Udx9908dxZ7nGySFnq8FyvvMHhJwTcqpYzlWf blsv8Q1xHm3rlcQyNOQ8cWHTcNcDywg1WIbZ39/9e+qLx0PuCbk3ZJS2YfeF 4gbvaDX7X6QG78Vq8F7lfsTF+iVxXRoyRnzsf9kceK/QfvBeqWb+Be7P3le7 HrjGiQks16rBcp0aLNd5F7gT40ruf0PIjWJh//FqcE1QXx5ykxpcN6uvtG2Y WG+xDVtvVYNxonpsI+8fd5E7eFvINWK/XQ32O9Rgv7uR48F5n5jAMnkO7Peo x3tO4x13v2Nv9syJQeJvim3gvd588EjIg2KdFPKQ+jb1WLFO1TbGTbMf7NPV YH9U+8D+mBq8N8ZeN4Rswt13f9aaaT92PKEN2LpmjPtbyDIhT4ubef9Sg+Vl sbPnbyGzQv4d8pT2M+dZbcOmZ5xH/aWQGc5/zn5sesX1wP6a+LgH7zqf9d4Q 65Mhb6rZ81XnMed15zHuLfux4201drzneuz/vvr5kHfsZ78jS+J80b5p+nvT aH8h9AchHzayzJhP9At2fKoG11euix2faxsYP7P/Nf33uvZ9oW1gn60G+5dq 1vra9d7TB/fp929sw6Zf3IM9vxfrRyEfewYvW3/R+ndz2LRZyfK3IT/MMe9X 1wPvT9qMrT/aT/1n29ib2CV3kCN+b2SMYB+xNV/I/CF/6SNs+q8aO1qW3IP1 /nAe/viPvmBOoyRGsG9uuUXouUtiYn4p2Y8P5im5Hr5pVdIe4neLkvMWFtfv 7gk+9J8h85acx5zWJecxboGS/eBasKTGpjauCcZF1GBZSJuxda6S/gVrVRIj 9baOpW1RNWOXKOkX7FhSDa4txb58yNIlbQPjUva38k631r5l9T3Yl1OD/e9q MK7gmm20b7Z+/4dt2LS6e7DnP8W6WMjinkFL63NZX6mkbYxb0TWorzzHvDVc D7yrajO2rmI/9dVsY++1zFXYRL4cZcyto23YBJ+CZ8G34GB7h27XSA4GF4OT 1TmOHHFISZ7Vo5E8C24Fv4F/wcXgQ/AyeA18CI4DF4MPwcXgcXAg3nK4AW87 /A4uBu85vCTHgrvAy+Bi8Al4GVwMXsEevB3wmJp7UWc+vAWeA5+C07FPzcPg NzUPo97T/ZnDHqeKqeYQF9oGZ4BD1HwLrgM++Ek/cfS3Do4B1sE10HrNsQa6 9yDrYBlsHRxnWa+5F3V4KNyT/Y92/zm51znigKcMFccw6+A43zo4hluv+dZw cYy0Psg4GSmOC6yfpT8u0EdDxDfFuOAtgVPDYfFrzYNPcF24R82b0DWfQtec BT3GPciPY8VxtfPPsx8+xHvPmzm10eQ0tzpnkvWhjr1U7ONct+Zh19oHV7mh 0eRVExpN7nVjo8m9xosdngBfqbndOH00dg6stzqO/WrOAqfgHeY9ho/wpvPW w0HgPTPEwbi7G03uBY/ZuCRXu7PR5FiTG02OdY+YOA/euw1K8tpLxH6f426y n/r17nNXo8mVR4v7AdequdeD7vG4NtRc6tFGk29NazS5IzbXnPsi9+M9fsK+ aa4Llqfsu9f+x/XfVHHwNvL+8/bXeb+tb0gbczFrwVWede3nrfcsyVdecG3W gU/ga972F7UBTlJzt5ftw044yKtiet06b2nD/Wu+xbo1l4KXkC/fsQ5netc6 +N6zXnMs6uCDX3wgpo+sg+Nj6+D6xHrNpT7xHF5tNHnVZ/aB9XPrYJ9lHRxw hC/F/oU+rnnVF40mr5ot1q+dAw7e4e/F/Y194P5O33xo/3di/dE5T7nHm+L+ yT72gRv8KT54xC/i/c36G2KcpT30/2zb744D9x/WwfqX69b86S/t+dNxn7oG OKZ6Tpzbg57TM+KeS54B1rl9s5nT0rebNebxTa+5DrwBjPPKRcDXujS5VSv5 R82l5pNLLCD/wH/sCdcB90Lyj5oztbGvrfW55AmLimlx6y3lBYuXJjdawr2X st5KXkG9tfxiaTEtYx2fzmf//HKKZUqTJy1bmjxpOXHAe1YSK9xoBbGuaL2t /SuKdWXngAP+tJq4V7EP3KtaX9L+VcW6hnOIuaKfwL2mfY+aD8n34IMDrR2y TcnfSng/Fxbj8tpDPxxqsOP4DWNbNW/L2o5jve1KfseTU3d13Pr6aC1x7OY4 8jjf/eMc/0joGSFn2/6YffW3PTl7nDaAf2DoHiHdovxw6OklORPfJjuUvItX lxzHmP1K/hYGV+tY8jc1eNjnIe2rtH+30B+G7l+S38HzOmBLtH8Q5TNoj/JH oQeU5Gys0znG7BHtH7tfxyjvH3JWlA91HbjiESW5HbyJ39wOCjm4kfsdbPkB y12j3K0k36PMb3HdtIX+Lo6Hs1GGE+GP7o6B88H9eumfw8VAjuUtIL+CA5/B 3cbre/qm6dvujeRbrMlva1uXtIF5A8QDtg5h635Vxkjn0F+W/D0BDsxvlPvH mI2q/P0TPt0lyi9G+eEobxjljUNOIEZCvxq6NzES5TdDnxSyfZTfCn0yZxvl t0Of4vnBpw9sJNeGZ8O59rZ8QCP773DMFjH3qZJcf5sovx7lvo6d6PjNo33L kD7MCX1QyBD34rzh1/A7uDU+hrPD+eB7X7BGlXfgnNDnhlxTcsydxsnq0XZw lW9yJ+ceRA4P3cq5u4R+P3S/kJ2j/F7o00PWifJ6IceVPFswdIm5B5T8PbfG Mtk1d4yx70T51JCdovxu6NNC1o3yZlV+5xA3xBjnfFRJXC8YDz09I85gT+K6 kee5p2favqTfKR/qGRwmnv21lzxB3iC3jC15J+q8gCaHcPe2Nq7IC+QHcsJO Jb/b4Rjcs46uuWPJe847u3PJ73Py1lYlv3WXd31yBdyP35YP1FenuQ7xgE8P cM19SsYNMUBs7WMZ35E7OjXyG4r8cYT5ZF/b65ijnxhtr08mWmadO1yHfSe7 L2fUT2yUjzSeiKWexhkxxn4djL2OxiLrHGgMMZffnbb37PDHTvqN/wvs4dld ZBxh77nGPvmN798+3gu+ebmL+9jO/xv2i/IlxiN7XVYyF+LPC40p8Iwy1vAJ WI4ST3vX4vuafXq55vkl/YWvyJEnimdEyTPAb+eVjD/wg+UY5/YWG2vzfc53 O9/snP/OxgN27+6afAvsalxMt51vaIRvduKXuG7nXn2d38E4n2is8w3CG0ac XlkyD5ID8dnxpfk7AmVwEb87Gqtg5O5y7/DfQfoQ3dky/cfq/9uMw07G16TS jMHbjUPers9K3qF2Ud4z5MySObh1lXn40pJnxvq7lDx77No7+ltWefd4f8lz jH8u5KWSd+eF0C+X/OYiZ79SMifwvXaj7fhpqH7jDRnvmMdLjmPMmNCXl3yz ZtjO90e32H++KuOFNc5zneHRNo/Y8PVM12Ee6/Kt+FrI2lXGBD4c4/rDSsYW cXW9c/m+m+ncOz3rYY4ZzFsdclXJ9+9ssQ2xjC3scY6xNyLGzi9m4uVm44c3 dlDJd5bcRq4j/w0vGdPE8yExb4EqOcrioZ92zV5R/rlk/B4W5e9Lxg5c6DrP oke0f1sy9w2N8rMl4/oKY5E4JMbJs+zP+4xN8IHHXIt1joy5P5bME7zJ61cZ b4uGnuWav4UcU6XNvJmbVBnbrENerXkbmu914uIrfcWeV7vvYjFvdsl7c3iU F6zyPrQN3abKeDxYG7oaMzM9X+KK/MVd7RljF6oyrx0deuEq7zn+n2DM9DT2 OMNh0f+8+3aN8tclcyTvM28t7yz3mPd5O/dgHfLBDOOG7+AJYujou3ZxyRyI vsQyeZg71sWYecS4+X8cGUs3WOZ+ESdwMrgXdhylLb+G9K7yHYN/cY+7e18e ce4vJWNlS88XXsj7DUfj/7PwNPx0hL76wXgiln4qefZbOHaa639XMraIq2/0 F77irA71vHrU40vyjnu1l5xEnurkG0qZXAUfPFtOOC/xVSUPONC5vFs7eCZw dfIfv3XWfJYyd3m2Z8k5kidGeO+IU+4AsUoOG26u4G51937h3+me6e6We5hv 4d/1nve7F36cYhyeEWv0r/JcLyj5zvHGHQv/qjJXEb+LGMObVslleQcGhB5Y ZT46M/SgKuP79ND9qoydU0OfFjK6pPA2d/Z9H215gyo5H2/CiaFPChkZ5ePZ p8r8dXLoU6rE2Cd03yrzzRsh21b5pm5dJa/l7f00ZK8q8xT3ju+NLsYQv7H2 NjfC89p53rRzl6c4vqtnRB3+ONU47ObbNMl4mG6c43NyBrmD/EPO26rKvEfM jHQ87yu5lJxM2yjbeX+xify5Ssxbucrvqv08G86Ft6W/5/g/FElTSA== "]], Polygon[CompressedData[" 1:eJwtlVWrlWEQhff+RjHwyu7uwu7ujmMXx8DDEbu7u7sLBH+A/8A7L0wUuxsE u7B9Fuu7eJiZd+/9xcyatatNnp0zK8lkMnlQAKpFJrMKjnA4DuqSvySuhanw GKpyNoa4HB5CZeoRxKXwACpRDyMugdtQjro/cT6MJn9DbAFdYSj1a2IT6AwT qd8T20B3eJL4mfQsK+A51KSeRFwN96Ei9VDiYrgHFagHExfBXShPPZC4EIqS b4ez5K2hCPlWOJM+01UoS92X2ApuQkPq6cQZUJu8Fkwmn6Iz8u/EDtBRZ9Qf iW2hB+RRfya2g54wjforsT30gqdQnbMJxJXwDGpQ5xJXwSOoQj2KuAw2kBcO 92od1AvPSLPJgxzy4eHPmkID8vqQr3vDL/U93Iut8Bu6hXu1Hf6o7+Fe7oQL 0Cj87oOzmcxPzSk8y81wEUpQ9yYO5/O3xDHUG4nnqWeH76l7bYG/6ktYG7sl PPJe4XfbDwWllfBsT0IB8n7hXhyHS1An3PtJXD8h7xPWxmEIzS7cy6NwGcro O8TmkNWzhrV7EK5DyfBnB7neDWKp8OzPUf/T3MLa3ptqbwCsSazB+eGeqVc7 YG64p+rlNmmCuhPMIx+WtXbukC9IrKEu4R6qdzrrQN0ecrL+TWvyNjA38dk7 Yi51t3RHCoU1oNl3gvXhHqp3J+CD7hPeJWmyWFgT0oKuMYF8fHhW+anWbxFn Jtb8QOoXxIlZv/MrGBK+l3Z2UHgmmoU8Yhz12PBuSQMjw5qUFtfrTF4Rzk9J o+RNYIi0Qt2KvKX2Oet3bqbZhD/TmWapa+i3fdJdWRd+19x0l9bAscQ7tTas IWlHZ/KCOeHZyBPkTbPC2pRHFQ9rXNqWpheHNaDZ70nsdUtgX5J6XljD0q7O 5EULYFdiT1oY1ry0rjN546LwteSRXyA/7A3yBHnXvLCW5GHfNIewV8hjGpP/ IG5KZySv2gSnE3vW5rDHylt1tjq8E9oFebq871qqbXmgvO9Kqn154MrwTmmX DiX2nmVwILEHLQ/vkHZHZ/ovWBH+rv4TZpKXDmtdz/gJpoa9UB74H/srs5k= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHn4jmUW/vjOsYQKZUtikmqiIqRFxWghKpEiqtFoiBDNVFOz1zUz18xk zU6JyBpCMdI2xvoru0imTKmoaSxNpW3uu/v+XeOP+zrnfd7zPu/znuc+93m+ r0HvQTcOLFsoFF4oUygUYdtloXAF0DAKhX7A3cCnuFEVdhTsVOBdYBgwGaiC 8RGwTwCV4A+HnQJ8B+wD3gOqY3w07FNATfhjYKcDteGPhX0aOAX+ONgZwKnw x8POBE6DPwH2GeB0+JNgZwMnwB8J+yRwHPyDsP8C3gfmAPOAV4AVwIvAF8B+ YCFwFPgM+AD40LELfI/+fKAR5jwDeNbXnHMucDLGHoedBnwMHAAWAS8Df/P7 7kXMYCCA/kAToELo3vPAC14T7TKgKe6dDyyHPxR2CFAOKAOUBR7DeAvY5sBK +Kv8Pn7fRRhrBbwKfw3wGvB3YK0tY1vj/qXAP+BvAFY7tsSWsTuBrcA2oBNi OwLb4W/yM4y9EmPtgNcd+waw0c9sdGx73L8G2Az/TWCLY9tg7ApgHfzPgY+c 893ADseSG8wr8zsQft/QffJqsjlHvpFfw80B8m6E+UkujDTfyNNRzsFLztcA jPcJfSu5Rw6OMffIwbHmHjk4ztwjB8nFBiEOTjAPZ8FONB/I69HOwXrni3x8 z7yZYw7N8/6vMFfuCa3pE99b6JyQN4x7rigOLvTzpbwpff5lfxv3f5X5QB69 aF6t8BjjyJ1X/PxLzstrvrfK14PNO75niDm7zHFrzJtSbq3x/m/1HnNvS465 V+I8rHdeGEvubPK9Ut7wee7zHti3iuLONnNph/nBcfJ3rde6+pi5t5g7OzzX Tl939D5zrj7mEccHhbj1b/h3wN5ufaMWUBNY70eK0hHuSVnXITXvP0VZcvFL X+8FDhWlPdznuzz3bl+TA3Nt99n/qijtoG4UQ3Pt8x5/4DX8tyhtKtWl/fb5 zAGPHXb8XD+/1/6d5tRO35/v8Y887wJ/3yGvca/nYsw3RenjYb//iPPA7zvo +H7O2R6v63PPydwwV8O8xi+OWedRr6Vz6PsXeb5vnZvGGC8AS/0tX3pdG8wF 8uUG6yHfk9ZX1gh53dwaeFboHsdZQ2E+lze3Fxelz2mf98qZ58eH9IWaQh3m M0uK0vCKXht1p5K/sXLIn+KxytYpzlXBek5tquK+SHu846k1td0LqVcnWbNO DOkatYz2RK+HWlbVPa9ayJ/qsWqOH+25GPtDr5nrH+m5uBZqKzWLsTVC/jSP 1bCWcU013edqhfzpHqvleK63uuMrWiv4rjqh76Kenu0cMs91Qzo7w5ygrpED 1FZqLvW2Xsif6bF6jqfmUovHuzb4LDldPzROXb4ZtplzTq3+Qfz/zNDQej3J 19RtjtGf7bnr+71cY12vf6V5Rc0kqK0c49ngTK+/S+g7FzsP55gnzEcTr4dj jT0+zu/g/t8U2qcl/qZGnvNcP8t42vM8D88JF3gNy72eZbZNPd7M/nLzq473 rlto3qXOD3PAnFAjqI/Uxq6hNXE9t8C29JwXh84ZrC+eQy60Ty1m7+G54lX7 rEWeAa4NnR+6h57nfcZRx/ncWvvrbFvbv8w+Y3uErulz7HLHtPJ6OM5r9h7O V2L/dds29ml/ZP9W2Laeh9fsSSW2PN9stt60s3+VxxnLd17i9/YM3eN4L9gO jm/r93J+XrOfcb5t9rfbtrffwT5j+Z6r7fMeexifo57T3+WxTvavs8/Y20LX 9Dl2vWPI087mFTXvRnOVtot95qanv4Xv7+U1UI+7mTPk4M3mFTl4i7lBLnT3 /jI3PZwf7tWtzgM1oKt5xXpq4Xhy5DavmRxk72TfZE9mb34Hfm/77De0P/Y4 88C8kL8/sb/LueI1+19Lv4vr/NTzsmf91O96uyjL69KezbMIzxvscfT/WdRv Gfbpfb7fz/Pw2T6e526PM57awxqb5frt7xwOwe+qoancd4C9JlXz3wB/CfXY 6zF2Q0oz7oP9WSp3l8Nekpr7YtiWKc2qABup3tMCtmlKN8vAPhbq81XgV0z1 nkdZCyndOwL/+dC5h3o1xHtEO9Q+e+Ng86ScY5aZS+yj4fv3OmY+7KAU/+YC A1L7XBrHfnslxoaHzhc14VdP9bDzYRun9Pcc2DNT+jUi9AzjJ5OHqfNTN9iv QmeNNvAfcc47wn88dBa4Dv7YkM4Ohv9c6BzRCf6YkHZ3gT8hpI/d4T8R0tG+ 8GeF6rw//Dmheh0If57rrS78Wql+2AD21FQfbcS9SvXLasx9qpfz7DnIPFkM uy10jrwd96eFtLIP/JkhLekN/+mQDvaEPzXE64nWcfbGJbCF1HluNnmYqmNy c4D5uQB2s3l+P7kWOqtchdiloXPeQtgtrrVnYTe5jvjcOj/LsTUe3wr7buj3 6S7ubeh8WTa1Jq7nDX5f6OzJ/bkstUe/h39Rqkc/CL986lz0C/iVU2ee38Fv nurLD8GvmjrnPAy/Rur882v4Z6R63C/hn5I6k/wW/nmp88Ov4NdPnVt+Qy6k +vub5G3qTPEW/NGhs+ke2D95j56C7ZXSuenAHSmdmwHcmdK5J4EeKV0s79ph rfT1fnMe5ot7Qb16B3YR8LXH7vEePQN7V0qPJwJdU7pLjk8yz4/Cjg+du9fD PpTSxN3AH0Ia+DbsHz3n2tD3cA3cP66HOtcZz60Ind1Xh55h/EjYa1N94yDw cagPTAnVHuvuJtxfGTrfP5B6N9/7Z3IndG7fzz0PaWeTVN6Z82EhbaIu/TWk fdS972C/Df2XQz0rZ02jHpxrTaBGfu34S1McIn+apfabe01dbGVtvDDFIfKH 670/teafp/LIHDIHG50HaucF1k/WRDFVF5mqGdbLcSm+kqv3hWqA/KeGnWwd Yw5KnIcDrBvncDvHQr9tDsEeDv2e+V4brA+fAKNcL9TRB62l1O9K1vATUnXC GvkspOPf/58F+2HoN9X7sA+Efs/tYF2GfoNR73c6nv2ktXsKNayOdexh2A2h 3ls7VW+sNerx2dbkk1I1yXrkuZc9jj3k9FS9sdbqpWqS9UgtbGg9ZM21d91R L0+zZlI/rk5pyFmp2mZd8//Itqkz+/8ALEPHRg== "]], Polygon[CompressedData[" 1:eJwtlXmw1lMYx9+5v/MoCTEUMSld7QqVhGoU5dKt60o3btdyRVxu11DJnn+s I/uSrdKeJSb/YIy1pGwzxj6mhWjTKhWJz3e+54/P+3y/5/x+73vOc57nvB3q m6onlJVKpamQ4D0+Lo5S6RRiDbRFHw2zilLpCHxrdBs4PHnsA+Jl+NP1HtwL d+DHEX9k/gviOvgXvRPeR49l/lTiGOiFPgmORc9j/gfi97AYvQuWoScwP4J4 KTwNe+FA6AblzHWE2Tx7FL49ugO0Th47Ad0pPDcH31t7C/9WO8Y+hmvwQ7Uu +Aiuwg8m1sIxWlt47y/xznHodmGt31gK1+HPI9bBh1CPH0i8BN6Cn+Afnr+A +BfsSt7b3/A2upLnuxIvhP0wCbYz14L4NdzOfD1xK2P9lWtoj1+AH4A+M6yP Z2wKfJf83cr5s+hq5k8k9oS18CZsY24vPIC+gfkq4hr8kdorzCx8xvfDXfgG 4irG+qD7hnM3Hz+Z+G3ydxXE++BO5scTf2ZsIXE8/pzkHJ+G7hd+V3tYBath H341vIMeET7bi+BlaMBXJOd4PozDn5V8RrNVF/j+yTU4F67AD0g+g67oLuGz b4t/V3kO52I0fJ5co6rNtdCNue7hZ+fieyp3Ya0anaG6xZ+c3COvQiO+MrlG H1fd65x5fgM8hd4DzZLP+PpwTauWz4cnYTcEdIHLwzWk2jkj7/2V/GxFzuUi 4rDknCrXrxO3FM65zuqNXCsNORfziIOSczIV/0k+m0b9Trgn1Yu9895mZq09 1oV7XL3dL6/1Rsaq85p1FguIQ5LPRGcxJ69dZ1KrXsnv9tU+wj2hXugMd+M/ zbXVRHxe587YHvwmqFBvqYeT74Qq9DPoHtA9+S4YGda6E64O9/TYvKZb8FPC d9FI/LXhnq3LOZyutTC2m/mNcCt6pfKms8i98xyxV3IPXRm+I2pzTh9RXTP2 J++uhyHos6Gc8UX4m8I9rt5WznQ3Lib+UfiOVO28lrw21dBtkXui8BrOxT+W c6UcHKa7F1ol9+ikcM+oV0bB5lzjqm1d6LpLfof9he+UDck9q179D9+M95tD S/yL+Jbog+EQ1Tq+FfrQyJqx9fAb/Fr4Ow9irkX4Xb3zi+aS75cXoMTcQxpH 74Bh+EeTc6Ue2YbenteqftlJnAjT0GWqa+Uqz+mZgvcfJq4rnPNvku8w3V36 zeW5xhtzjqcRy8K/rXeW4Hckf3dVXuuDyb2v97W3jTk32uM+6eS7WHv4LLlG VBu6k1fkGm7KPahenxg+C/X8YN1VsLBwTdSgR4drezM8obwna/1HfIX+Mu9X NXkAz0Y4lzqjUeH/6JpckzfjJ4drVz1zD2PDw3fJEvxA9KDwf4PWoN7ZlPOt HpqVe1S9qf/k/wG75ARD "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGnYTlUUfcXdh+ZCiVRKoYgoFJUkU/Pcr+Z50DwPj0KDoSgyiwqRT5FE CJnnMSUZSiEzGTKk1mqt73m/H+vZ+5x7zrn7nLX2Pu99K939+A2tDsvlcq2L 5XLFYU9Pudx7kcvtz3K57rC3ol0MdhzabwBtgJJo/w47HigL/zjgD/gnw66D nQBUh78VdhpwLvxtsNOB0+H/CTsJqAx/I+xk4BT462G/A6rC3ww7BTgb/hbY qcBp8DfATgTOgr8J9nugFvztsDOA3kAn4F3gfPTPhp0FzAHeBD4Autp/C+hm +zbwoe07QD+gM9AFqI11dsDOBHoCHYCOQC9bvq+757UH+vj97wF9bblWDz/n /IZYswEwEv5Hfs/7wIAiMX5syxg/sWWMn9rynQNtufYgW8a4B1jgNQa7j/EO 8Rkxxs8dH/f6mZ/z2TD3Ma7dwHzHtQuYB/QH5jpO+nuBhY6xPvZUD/gik4aW OK4DwFLHchD4we/8B1jmuA4BPwJDgb+BRd7rPmCx91oaa6+ALQBWAsOBEcC/ wE/e02rgS2AU8LV9jvkZWO79jS3yvLO5JQeNsP6lwOhM+qbeqXvqm7pul0nj 1Ck1RM1Sj9QQtUldU0PbvSbXpnZmeX1qdoo1QI1T19QQc4J5QA0xb5gr1BDz hrqmhpgr1Ds1xJxgbnVyHF3NRxfz1i/La7qb1+3uNuf3cJtx9HS7UNM9s7zm Ps7yedI1y2u6j/fWz23G0dvzGQf10j/L63iA99PH4wp1/EmW1/GnWV7HA70W NTLY7xlmfnu6b5Dfzb6hXneI5/RxH9u/ZNIMtcKcI+fUw6pMGqI+6qK/TEhf 1O8Ij+czjqdW1mTS1lfGGOAbPxvrNrUz1nPWZtIQ9XN8yG8LlAtpqbAGTTRX xCRz9VummtvG7clZvnZMyfJ1Z5rPle2pWb72TTdXnPO957E9w7wN9Rnx/FjL S4ViG+O9cU/UEnXLunQBnu/MlPc875+8BvvmmHPyvMBc/+Wx/d2eb598L/RY crOsCMdLi3C/2Hpge0kRfSzyGpzzg+fx/Db4/BjTj16bObreZxwhHZDTI0N3 WqEmaFmvUkgT5Pwo+IeF9EHdLfe+j0Zf8ZAOyOE68zje59jWvP1q3o8J3Zdr fa6rfbYlfGe28/v4nhHm/09zzjM+5D2R883mmRxuN4/kdpP5JefbzDO1sKWI RrZaF6xJO8wtedhjLuaaS/J4BWI73HzPM5f9ze3uInzucj+1ydrU3vzsNUfk bZ+5I88HzRt53m9uyeEB88gz/tfnTA7/MY/Uwt/mP0NcuVD9Jw/kjOdHPrPI 3wvkbrjPu7jHrPC4Aj8PjyE3JZ2f3DP3Tk1T+/z9QP2vMfdc7xdraIV5Z24z TzmHuU09MJ+OdU41gT3Ja66ytlY6ntK+K/n+E/27qpzHUxsnuCYVeGwZj5/g ce2spbLWE7mtE4qd/J8T4p95cGooVziugmsQtXZGiEO+s5zjZD5VCumR2qkR 0hf1XjGUW+T8zJAGqbuaIW1ynfKOjdqsEnn9Vgtpk/o9L6THpqF9Fni/dSN/ LvXMEetpA9/LtA3tXxj6zcGxzULtwnn1/ftqpOcwvy72XPaxTrNef5tJU0c4 BvY1cn/z0ByOH+1njIVrXOIY+J6LPOYyz2V/i1CbPtdu6vWpryY+Z85r7rkj HDd98tzMe2HtvcL52Bj2csfG97fw+nxnY/dPg30glLvTYR8M5esM2IdCeXwP 7JCQTmcBj4Ryl9olt6yZM9H3cKhO9IK9LSlvngGqJf2eqgq7KJS7HXlWSfl/ SdK6XLMT7KVJOTwW/tXOl4mwz5v76nj+kvkbSa5C+XZRUtyMuX7SfriX9hyb VI8aJsX6/70COyCUEzXR/6r5q5t0LjyTbrDXJ3E+hmcWyuEm6Jsbqk+N4c8J 1bBG8GeH6tC75DSprnUmL0n1i99MlyfVNcZ+bVL8XbnfpLr2IvybkupHX/jX JNWmG2BvBFoyPuDxUF1k37Oh/rbALUm/C16Bf3NSLWmaNIfjO8A2SKrpb8M/ Kal2L4D/ZKimzod9IlSPJzFHQzWHcd0Riu1l2BpJ2iTnvUO8vw7USdLZc8xL 5wz5f9oauAp2cqiWvQbUStLpQuCp0J3Gb8oeoVrMM+gXOocXgAkh7b8D1Eu6 Y96EPypUT3kGbULn8E2Ib3JNfh41R9TXIGvsOowfGLonasNvHcrJz4HrQjWK Z3ln6DyHMqZQ3V4Me1foPl8Ce2XoXh9sPhjDvbCjQ9/A5bHO/dbYeGuLujo/ Kd+Ya12AZkl3IfX1mDX2AddPuu+PgD086bv2KOooqVaeCft+6F48Hn7ppFpf JUln1FiFJO7J+1lJ63LNY+Efk/QtuwvYHarLy6iL0H2wgvyH6vtychX6pt8J 7Ah9c1+VxCV5PDmJJ3LEfLo9lFP3ASck/aYoC1sm6Vu8UlL+MHdOTaoXrBXF 4ZdIumOKMS+T/j84Lal2sG4c4v5C99lB4EDov4G9wJ7QfwZnJOUk87Ec/BOT amflpHPnmVM7S81dSfSXSrq3TknKH+bOPtj9obsq0J8l/YexClgZ+q+CdaJV qFZshN0UukenAFND998a6iV07w4DCkK1fwuwOfT/xzZge+gevTukOeptA+z6 0P8laxlv6P+PB6wzauwP+OtC9zQ1O866bZ6U58xxavNr67NlUi1gHaiYVENZ P6mpFkm6+g9BCajX "]], Polygon[CompressedData[" 1:eJwtlfnzyEUYxz/x3V1yH98kxFcIOXKVI8r1/VIMUek+TDWddEwqV4fUXxCd 1FR0oIYao0JC13S7pSJHkVDuu9d73vvDa57n2d3P7rP7HJ+y0WNHjKlUFMVU KIGTsSjOSEXRDrkyFMVO5D/QApZhv4N8FmpDVajE2ggd0L9gfg/yP2gFn2PX Yu5G9H/ROyP3w2FoDcsZ+xD5LjwTvOfHsAimYNdF3gLvQ3XYxNgw9nsVvTLU hCVwO9SBUhgOC6EEpgZ/O113ynv8CVfBTuaaI1+EpXAWlMMROAFtYQVrEudV gwuxv8Tehvwr+tvPsF9AvgEhn/EJfBrtu+50CDkKdgffuS17PYasDxfB6/kO pdnnX2GE/GT9ucjjcK1iEOzTbrgadgXH5AmYn99iM2MvI9+EqNjAHzBSPjPX DDkTOuJDb+Qg+ABeymtrwCyYre+CY7AA/W2oArVgGoyDalDA77A1eu+lrF+D 3ACNYTH2rfkM7f0b9kbJ6Lstwf4IOQy2B8dwPVwJO4L3eAXa4W8PZIXyCK6B v4Nz7EzmbkDuC45RN+w5GoeB8hH7OuSe4JwO2Ncj9wbn7GvQmbG+yMH5rkOg Qb7zahituAa/yZZ8Z921qfyIrhHVxnk5dpuj5xTDfdE1oVpomWO3N1pXDHXX X6BJvrNyc1f0XspRxW47lOUY7ojOQeWexu7Wt/h/EPsHaJ8cY8W2J8yA4Yyl 6Jq5WT5iX57jtzi/cUXOyXnRNVGeY3wbrIItwW+wTGfLh+A3ukexZL9D2D8q Bslvqrfso3vDcjgHGsK66BxRbjSKro2j0Ca6RhTbA3B+jvGx6JpULWrN6ege pd50AbIkuQep97SPrpVT0XOqGcW+cvKccqBqck2rljsyVg+9DnyN3QX7TmiE vR/7O9gUnbPK1SY5V9dG+66cPRjd09TL5LNysQbfd8o5WRO9OnwVPLYC3ovu TXoT9ca6yWerRyo3qyT7phx9NLpnqFeoRz0ErbBPMbceHtZbYZ9G3wBXKLaw LnjNYPRBsBb9JAxFH5L8rb65WHsn3/UA1Ee/iT2/Qe+KfC7HULEbIB+YPxu6 oX/LmieRnbAvi66hSdAB+5LoHvMWTIyufeWg3qJ28r9Ab6K3L00+SzEYr9hh d4+uefWyx6N7v3qaeu3zOXfVc3toLXwfXANt0Fsnv8VGeCS6Z2m9cr4Xcz2T a0U521u+JufuYahAL4c16CeCfZmQa0k+jVVtMnY8eM0D2C2S1+qNx2A3xz6G vhruxW6avPdPwW8zOdeG3uhBaJkcG8XsPuxm2EfQf4aG6Hfkt1ZOdsF+Grs/ 9FMeQdfkf7FqciD6gOSz5WN/9H6wKtinvopV8t5H4VL0Psm+6cz72acseU7f KLZP5bMU4wbJPVa9VTkwN+eIckM99y5onJxLisn/0P4MJw== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{35, 1, 5, 9, 39, 140, 266, 159, 231, 309, 310, 197, 267, 160, 232, 311, 312, 198, 268, 161, 233, 269, 270, 162, 225, 228, 227, 158, 221, 196, 265, 157, 263, 156, 264, 195, 262, 155, 260, 154, 261, 194, 220, 153, 193, 152, 322, 321, 139, 258, 259, 255, 257, 256, 138, 252, 253, 249, 251, 250, 137, 247, 248, 244, 246, 245, 254, 91, 35}], Line[CompressedData[" 1:eJwt0jdSlmEYhtGfFUiQjJJzEIUGSc6QpXMJLEB2QUdWWQCoZMlJUgdKkiCI zADDjBZIZgOcwuKa87z3136JDY1v3gYFAoEm/dWZVhVi7GEwPzKU64xgH8PZ z0huMIaDjOYQY/mDCRxhPEeZyB1mcIzpHGcmd5nNCWZxkjn8yXzO8hnn+Jz7 LOBXvuA8C3nPW92pS3W2er1Wp/cHLWlZizpQjW8dfK8jLaja1s5TlbtfKU8z 3rmc5p6q3G18p9+aUqWtlScqc6cqTUlKUbJKte37U35hHIf5hJus5RZvdK0B RdlaeKVLXahXj+3NrOAaP+tY31ViK9Y/9yeFub/xJYt07u7WI/cKD/VLf/7/ Ew9hkEeG "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{333, 332, 336, 825, 816, 817, 815, 819, 818, 712, 821, 822, 820, 824, 823, 713, 827, 828, 826, 830, 829, 714, 790, 877, 761, 814, 726, 812, 725, 813, 711, 335, 334, 333}], Line[CompressedData[" 1:eJwl0+lSjXEAx/HnlKxxrKNsdSqlslyBsSV7qdBiD9mL7GVJlqzvXIErcAON CyglzFhCkV2JrGPL54wXn/n+f//zvDrnOZHyqsLKUBAEzTTGBMEm44WuiA2C 5aTRZS/TOM5QTyrP3S/VAZymjhSeuV+isZziJBE63S/WGE5wnGQ63C/SELXU kMRT97kacIyjTOGJ+4Xar0f0MJN5bOfoXz2kB5lEu71A/+gBrWYij+z5+lv3 6z4m8NCep7+0SitJ5L49R3/qaB3FGJrsufpAp2o6GTTbefpSp2kmg7jCQFby ymf5+loLdDBnKWIVhaxhNecYzy3PXtA3OlbvaAsXnYfw1rlY32mJNnCeBFrd XdL3Ok7v6m0uOw+l27lM11JKj32PNtbZ68kim3iuMoyNfPDMBu2Nvkc6nHI+ 2pv1k27REWyjz96qn7VCw+zgi71dv+pOHcluvtm79Lvu0R86m2QipJBKWvR3 IJ2M6HdPJllkM50ZzGQWSYTp9+730kErN7nBda7RQA17Q///K/8AqvxgXw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hecz3UcwPHvOUeKskIkka3MjKIyojKySZK9Oburm84q2Q5nlr0LWUlS 2TvzcJxRVkilopzq+Xv44/l7vT/v3+P3ffx24U79mkWGBUFQzk1YxiAYHx4E F/QYg7nN76ylf0QQfKzHWcdFTvAe1/iZy1zlCkP4l/9IZyz3GUfgWus1g47X MJ2g4bpB6+lErauT9DX9Uk+TxE1+4TrTaeL+xvxtTuZN8+bQc9DB3DVPo5H5 Kx2kA7ljnkpD86jQ6/T6N7KZrWxjF/s4xFFSSCWN9h5zXtP5IjRzjhjX26fR ul9j9aiuIcE8WtPYQ6LzXj3CauKdP9Kz7GKo8249zCrinD/UM7xv/oB+fO7c Vz/TSN2pfXSl9tIV2lt3aE9drt11mfbQ7dpNl2oXXaJddZt21sXaURdpJ/1e O+hCfVcXaHv9TtvpfG2r8/Qd/Vbf1rn6ln6qbXSrttBZ2kxnanPdojf4jV85 xA98TVP3z9B/Qt8/cxTfmFvqbL1HK3Nr5pg/YQqpbKKB/WR9XevzBgM4aXeK jfzBn/xFSui95hIHOcAtxvATPxJFhGtkIiMPkTn0+dg/rI+QhWxkJdr+Mc3O o+QkBzH2ufVxcpGXPMTaP6H5yceTFCDO/iktREEK8zTx9s9oUYpQnGIk2JfU UpSgDKUZav+cluVZylOORPuKWokKVOZ5htlX1WpU4UVeYLh9DX2J6rzCy4yw r6W1qcmr1GGk/XK/n9nMYiYzmE4y05jKFJKYzCQmMiH8wf/W/1oCokQ= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1507, 1410, 1505, 1611, 1747, 1633, 1746, 1634, 1748, 1667, 1878, 1668, 1703, 1702, 1613, 1721, 1722, 1720, 1724, 1723, 1614, 1706, 1716, 1670, 1705, 1635, 1844, 1669, 1728, 1729, 1612, 1704, 1715, 1551, 1507}], Line[CompressedData[" 1:eJwl0klXj2Ecx+G79C+iEDJLongBkkxJRHEQmds4pgxleg9Kxtg72sqyLJxj YYgiw8KYOWOmQpJMl2Nxnc/3/JbPc6euLy8qiwohnOVEJIRqmiiJDWFwXAhD GMggkljn3l8H0I9EEljrHq99iaMPvVnjHtFYoomhF6vdg0bxy/7Db1bRw0++ 84NuVvKNLr7QyVdW0MFnPtLOJ4p5zwfe8o42lvOaN7zgFS9ZxnNaecIznlLE Ix7zgIe0sJR73Oc2d7nDYuqoZwPnOEkNZ1jCKS5ygfPs4zS1TPY9hjKMZDa6 DdcKHambdIRu1ktk2lOotEfpFm0gy57Kfnu0luplsu1pVNljdKteYbo9gwN2 im7TRmbaszhoj9Xt2kSOPZtDdqru0Kvk2nM4bI/TMr1Gnj2XI3aalmsz8+x8 jtrjdadeZ769gGp7gu7SGxTYhRyz03W33mShvYjjdobu0VtMtCex99//865r I//f+V82BmLk "]], Line[{1504, 1459, 1463, 1464, 1465, 1466, 1603, 1666, 1843, 1665, 1841, 1664, 1842, 1696, 1840, 1662, 1838, 1661, 1839, 1695, 1837, 1659, 1835, 1658, 1836, 1692, 1725, 1656, 1834, 1655, 1727, 1689, 1710, 1654, 1686, 1653, 1875, 1874, 1630, 1873, 1685, 1699, 1688, 1879, 1687, 1711, 1631, 1876, 1657, 1700, 1691, 1880, 1690, 1712, 1632, 1877, 1660, 1701, 1872, 1694, 1870, 1693, 1871, 1713, 1714, 1663, 1504}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c8lf/7x0MSiVAZSdklFJJSebXITB+rZJMVklA0jCSVhlmJhDIjo4yE OPbeex7nOPZxECXF73x/73/ux/W4H/cf93Vd7+f1vIStXfVsGTds2NDEsGHD /56aDFhaejUN8rffEqYvlzFUyL5QUDaN76pvdHbKLcOxymT19u4Z8BwQLmtw XYKK9yd3Nu8Z3K8PtSN9+4nuknROh44ZXPrgJcnF8RORVzPlKsRnYcmU46l9 bxFr5+2lJm7NIuChl946bQEJwUrvG6pnEf5qYOq50wJ27vub78hHxVlfT5br 0/P4J50ikO9ABUlgPEXsxjyGmxgpnwqoSMfqr7MrNLjtFlP5Nk/F8IzjztdJ NAzd3fsxRGoOfI9c13sNaWiID9eStZnDIbF0eeomGs6v+ONF9Bzk+n3qr7vP gfvBiFV6+xx4nCNijgxQ8eCnp1H54BxkzPRl1cqoiMsV+tc9PodhtxuR15Oo aKo6pjs1Pwf24oRnmcFUmKgJq/1ZnYP6jubmzW5U1PtaFa/+nQN18sCgxXUq tgc9kv33bw7SK38l852oeB3/ImptbQ6Re+SyOBypuHAiWMd3fQ4POuIDCu2p 2PD/hwa7/z9U9J56YHGKHvd/fqjCbUtFrdipEj96bHtmUbzEhgq+Jvk7DAw0 FHs58ey0ooK/nlvhAT12UeVSuW5Ohd3J4QlGRhp+vm1PrDKh5+nB7GVWFhp+ a16sOn+aivzyyFAOdhrar7HeH5GgYrDc+SU3Fw0KnVufhLBTccX934UdO2mw DvqbemlhFiuhkVoBCjQ4GpelRBjP4kU9sZxwkQaJfIp5YfkMXu87+aPFhQZt o7KM6EMzuBMpKZH2lAbpaYkkjrhpSL8bKtVKpkEk+aPxDNc0xC12TXa00lAa lJvbemoKGw4vTDSs0lCtq//YwWMSdr0p+yTF56HNWjmrnT6B6WMMBl068/hr /LhAfGIcFH0GvQbPefT/INp+kBwHyZR64k/MPKz7qPq+1yjwGnO7tqttHo+V xAz1HMZQ4/hzypl5AVkNwR8+OpHRxXFKqOTIAlZb9a03eJBgeWpspM92ARtH w3g3+4/iuSzXzeCwBbwoO63pGUbE3de6VyOKFoDkuNu8KSM4t++/d3mkBUR2 rMUmBQxjTWN3g/auRRyPWL7jUjAAia06n6s1FmEtYVF+k7EPVdJiHr9dFuHN b/NCw6YbfTO7YxIfLeLXxmbL64MdsA4/J/EqbBHub5KWpD3a8Cc6nBwfsojA pJyb7gdacJTX4Fy17yL+K3lrJ8DZgD0My6YidovQdrPdLVFZgzyeUObo04uo jOia98ivRJe2SuZ+7kUk+xy+HTpJgB91VWFjzwLiGKeEes1KMaurHxkfvgDB NLvHjlJFsJ3dqliguoBgbuIaZXcBSA2tCkfm5nH21rOnsaFfYfj3zUX2hHlM EvqYp9eyMXjV9YzbxXnYz2RQB29mgj/89TgvvX6pJc5dGrc+YZ3PrDAngYY3 CuadR1aT0XL+rxb1PA0yDMOM939+ROXBoIXerjlkTcQyHDBMAE+HSkXQrjnU praZUbbFoVSzSX6B3sfZEuN5Zkdj8LH+VR/P01l8DXjZ7ubxBsftuzUmc2fw 30bjlOOqkVhq8gm3JU2jzsZU1zs8DJqtFhIXeaZR3Dg5pKAVgr2RP75pqE0h 8/hWw6m8ZwhpC3VqvTcJZsKPs0SnJ9jtLpClkT8B34/9F/XfPUI+V1Pf36Vx 6Kau1B5Xegie69aSwsfGwbkrnIe67wHKLC4eH/CjQLr/hHXwVT8s7pylON0a w9AWfqLK1XsI7OKue3GLDIv+DfoivV7g8fFqO+VPQorq9M6NK544/c5/1vLV KN44uXPIxLnjhfy/x99yiTgsNmgi/8UNtHQqedPwCJ4ZW9OmBW8g/+SbslWu ERQoR58djnLB0QsjyU9ihvB7X4jokLMT0v78SdgpOYiTdXKRxbGO9DpGxs4S +hF/zUspeY8DZtvCm1cO98F4cW5aLtsON+r1b5GLenAsPtfi7wtbOCxZa0Ya d+Pt1NC2uvSrEBW/zPWXtQukY41VSgxXodx3e52rsQO/VSI5twfaoHSf9LO+ +Hbo5G11J8vbYCi0mWwT1IZ1nr4zTzfZoLpzl1rb3lbcIk53xzLYIDt5xrMy rRkH1PqUuY7aoDH4hZ+0WiPe555u1kq2wZ1SuwfC2+qRX2H/tvDCVfRXK/+R Za7FdrvliEcHbaHv8i9QSKQaDSXuM9e17TD+QUNpyaYSDNsYSgtS7fFCSGWp b1c5Eh9ZKbPvuYZ6v0Ptqjxl2CC5S5BTxQWd11KiJh6V4HnSJMdC2A3cTJN9 W6j9HXmKTU/M12+i8e7528ddChC28JOl+Z8nrHtNLjYP5WLXb5Fo/c/eeKKi tJXy5gtWF5hN/x71gXBkTMaGndloHJ2PCy9+gO+Lhwsu9GVA8c4n0qJHEE78 J6YfKJ6G+eh5S59Xz/E35mRJ7koSUvM+PY2oDkP+3JazFaofUeQ3v1Kx9BqM 9nfD2FbjEVNaW5mVGYspguD+OY84mLq6qovHJoDU/PlyzplYtPiEpnfEJOG+ 2xblLWYxOMig7fHTPw0bX2SYu2a9BQ8309McrkxslubWWTkaBXMdlUul8jkg T8bMiC6+RqHyM5n72rmQPPJMv7T/FVoOs3t9JRegO/uG08xcJDIihVfushXD SE/Hik0mEuvatlQrSimah3y3fQuJwJsSa++KmHJ0XTt/u5EvAgRtkV67z1X0 PmtR1ykPR89ZyaXMPXU4JHDfTfV1OBJWBSv9tjfin0LqkJlPOD4OH/ruKtIC obs/bPpuh0Nvs1Hkh+5WPG3bwbw1IBwcP0wLLFPaISinn2r4Phwv37FI2od1 QqDVmiTcEA73rYLVmWHdqN1P6pzZHEHPxwMrz8ReMLp37YFhBIJ/yIxrVPVD 0kat6XNWBObvLGco0QYhb6egNSwQCRXBLXeWOUawfecXVf/wSETuSLj8S4wI oodTiJ7AKzis3LeyVxqFjrL00u7MV6C97w3MOkvCL9dFhyS712i4/94p3Y6M 7vHvmR4H32Dw4I5nrPfo9z5n3cdy8A2Kk1nlQnQpKON5VerwKgpZXI5zPbzj 8FLWWgm/8hYRLjubjnWM40Tlxr20/dHgu8edov5wAiV8PC5hG2PwmjNTq0ty EsOmf8VfT8XgjqCX/ETJJA5tEHURHniHwqg/gtkaU9CRZuIx6Y1FvJzQySc1 U9j5qlzrp3IcMhnO5l32nMYWt3dFabzxEOnzfbGDdQa9rux66kx0zgZ/+8Xx aAZH3ozwGq4l4OV+JoF06gzWvGThyPoR6YmrXzVVZ0HwcauQFk+EYkPUqX3P ZhHDELX/kl4SPQ/bpvUrZ+EbsnouMzQZBh+8rJLpftBvySG8hZyCiriZ8Iod VARKBU7raqbh1raD3TsPUXF8dGberfITjImDu7vO0H1Efm+Kh1EGYmytbbbo UvEsal/+tbXPiCezREYaUpG8/GzzcYssLM4ovJC9RMX7U/FMZK1siOp+GXI1 oOKPG9f6bssceN3osPmlTcUWX500o8AvGCdd8rpE95spaz6pu0VfMdBxQnZF jgpZgyNCDzflQUc2OkV6DxXFTldDPa/m42d3zD4ZViqYCxq7zLsLwCdQ6iRG m0UYW67uFctCcC59c5fpmMUmxg88zzcUwXH5RqNR7iwqP+3ocxAtwZxKVIZV 8CzKgzYGdhwpxZGXAWc3m81im25EadeNMqxH29rJSM1C8GGAyGIpAdTPzskf F+h+dEM5wH5fBc7oMR46nDcDovH7NI+UShROrwi+8piB6IxZ7JUz1SBv4/Ty lplBVO23P/q/aqCYOjb+YGQaakxvxUJq6uC9cFVK5/k0tv+7LiCd34AGI01n R4VpdP12dy/IaAary2Gp5KQpDPccSVK+2YqJdaXOHtYp1BYL3bSXbUf0y+lo c5NJTMzfk3Pa0gmr4hs83lETeDqW9tdkczfSLk9W6RLGQfzoubZRtBfLb8Le /G2noDrg+M1bl/phnPOlMLZhDC5xxVvuvB9EoEyDjXcaGYqzRfsn54dhU9Er IuZMQteAYhNfyQg4fIa0Gh6PoorT0Fbfj4iKXQoVqW+IKL/qc+zbiVFoTZmd Z4oZweXLqVntc6MQ+u7844/EMMZDidu33yLBLNVKcfT6INo82esc5kmoq39D ik3rR4af1WZYkCFA9Lx6e6AXWiLymzqLyFjZP1VnzNKD+/0+GZosY9geSsmY lO0CK59t5w6FMbg7a1lvy+vAy718Nva6Y3j9mveo/al21JimxFKvjGHbkRHu ry2tYGsS//DYYAzvfR/ajDu24NdVb5r+8TGQSj+bbBJqQvZmFrcKjjEE7jBl XA6sR2IQjZDbRIbfh+DDQly1CA6qc/oTTIasS3k0s3Q1vgSu+DWdIMM/bEf7 JH2OjYo6TXYQSYhPe+V7vbAcTwyNTozdJWHKz8sq8RABW+b0EpjZSVArWn7N Wl0KMxY3fuvwUexTv2C5ebUEKs6ec6d5RvHlFc/qfFIRpGYYtf8+IyL117zG 15eF4OrML5thIMKzPHvWN6cA/4SdSx3cR0D6NS3FzJ4P98BVEZfKYbyn+Ysl vcmFxkX2x+wJQyge5Lf/aPAVNWXdl3t9BuEcH+x2/sQXuDqkJQYqD8BsfY8R v1wOxq7JGMqv9uHJvtDPufrZEGCtyu0m9IJzOfnm4PssKJjc3L8tvAf+LLkW 3VxZ6L6VOrXHpRsE74r0Ke1M1LzX1lv7rwtfHlPnJfI+4yVz9yeLM51g0dX5 LGFC58LeY7MlKh14zfZzPvUo/b2K/6jd+XbsqNWQMdf+DIXLW57fMW2D15Wh oqaIz2A6UPjD9FwrMvUv2X04nom8L7Tvm0+1YOKKndDVXVlgmLxfLBfbBJ5J tytnKrIQ/75chm20AZvbttZef5uNxzLHeMw06/H5krBYaVwOyk0SXFo7a3H4 /OG2nr4v4Ga/yMEQUIP7Hi/VhXRy4RR/Y6fB3mrYNXt+UtTKx/T01vx74/S6 GrUM8CV9w3e3gQKzrgrEFj87zetQhPdCzk9+TZVDbr/K5dMxP3Bpf0yGs2g5 1hmsHqwlleGFZn4Gkw8BvPa6RUoV5Sh7J6QiuVKG8Gsnw/qlquC14Z6sbXgZ viboXP4zVAMmroREZ60ypOjVbtxBqkelMA8n+94yOp+EEv2UmvGIL5T94LYy BD2/do/i3Ip3qYWJAwJlsKn1zRK2bgeN371LEWXYrfH6Qf2tThg7pz/0uFeG 0EEHSdeP3bDVtGidai0DsU8hYHG0F2cnDlszSRIg2uWSN5jTDyv7wzXDTwno t/Z57fhgEP9mmDar/yNA4tJgsL72MFaO5Nhs9SmH7UTLn7zAEew+ECLCtrUC eQK+5tfMiOj616QtnFaBiqz/+LceGAXRxkNDxbASyiezD+bOjGLD9jP2BhxV 0C+MUGqNI+GCwhd1884qTIQdaJVRI2Phc6qiWVo1MtbVVZb6yeg3FPvv8vMa KPyyW0+1GgNL8d4vJj61YLPw+ry7ewxxJgJ2t+/XYSXigLPtCQqkDlieL3la D5NUP5HGUAok2JmmHacbYJHiTZCgUDAkHanCbN0Ejtxr4uxi49C4y8vxhdqM 1TpK2g/tcZzM7UioqmnB+etq/aFW9Fhia45uYisCHz9TbbKh7w0ZWbtpz9rw 7GD0dIbBOGZJvTcjfduRlHHA84LiOLauvnXcdb8DpPGV0xmbxvHPXXiVxtAF tRrhvM2pFLAu3fNQi+lGeuOsOFGWgkeJqf0Gmr2IUxRp6Igaw63dG28EsPYj NcfwHOc0GcLN203kugbQFSSYbi9KxrmtqhO3Pg2hyPi62EO6z4Qv5ju5nh7B qSFDdSbtUZhq/ty1VYqIRb0gy4yTRPwTaNS6wjaKp2rm6Zn8IxCpPXTqdt4o yuwT+TWVh1C9hTpSZEDClX6RpO79A2g5mCT4dIRE309ekAU29SHALtmu2oAM Zk4oP+roBqf3r1L1WDICL1/fNsbchTlJ9aBPrWSsUQUW1JQ6sOE1z5D4DBli CavPJ1zaMHI+sOss/T823SpjD85sQWel/6BwIxnbubnT7DY2Qd85L2vje3rd Y6e4m9zr8fCL/b5TZmSkr/0XdWtTLTz8xCyPbibDRnncX7OsCi2SpOQ2et/s fDrtJpNSAZtxAeOb+0gwSfmwUl1MQEl8vNh03ChSBVn9rjOV4dsDD41r7KMo fszJpbNQAvF7wkLGLkTw0yRUw44X4ZeKcNWJqhGUhXI03Br6BrLljplX9DyJ dzhk2nXm0+f98sfI9iFMZR2L/8efB0JLyDOum4OY8mRUepz4FbzH3Kz8uQdw ps2e6uL2BTWXWUqPFPRB9WnUnO/tHAQ8f9m4YNuLqbkL3jI52fCT/3VmZncP 1pJfbkoQzMZ3uweTfcQubN5Zd6stJwvZ0Q3cQe70+X3le5iHQxZc9i7bawt0 gCfjcFuiYRa8GRQLOLrbwJK75WPK7Sy80aSuHUhrRYrED4YjjVnwYpiJiwlv gWSU3Dcro2xEfbqZLyjRDNMw98QH23NwwXLK8aduIyQWqRJ72L7gtGLtgNOH elgHpfcNKH9F6FiPDXmkFtxxbJXNtFwsMxxUKtKrwcGH+2xushRgy1TnDYvl KkS9URXNf1KICV/CLfXaSmgYmKQvBRRjTij4IGdtBZxkuAaK/UuxrWmLyM3F cnQGkot/0rkyrUAQNFErh/Hj964S5ArkFwimjvwgYJGxf2glrBqsIwkWquYE 2A/e/nQ3ug7kO0lrS3sImKVqaGqsNyKh/bSy4iYCuBWV4oYftoB/SD7iASMB 6g2VqrUSbch0UIk5up2Al9sUpUZH26G43UW7TJn+vWnI51e59DlUaRwd6UnA 9ZXI+HNvu2H2zlrsZAUBFIruJ6PgXuhrcS3pSJRDt+CUp+eDfpDspEydo8vB 46eWWe81iNhfHAWaohWQzShYN7Ifxha267KpxRVYsbnWFfthBL8PVp01vFaJ q0UH1jifEEEzOaobbViFMbKyQtGLUZyRTwreubsaV+z86rerk6Dy+dVxj5/V UGiydqqie1BO84xNdj+dd5uv8LQ8JaNKLti9ta0W65sDe19xj2E4kZ19sLcO tXEpjv2Px2Cw4cerEVo99JSI6emzY3hL3v9lircR2rwdPy6fpiDVpMmDTbcJ b7U8y80eUrDf4l4qgdCM4l2Be+eKKOgx65uKTmzBjgTTxb9ECkr0WD4c8WhF z5Nz8u9+UmBY7W15QKcN7e6FvGNLFDB0yrg7HmqH2paHVYN0nn4ICnZt290B lVPCb+/VUGCVWJ9wZEcnWjypD2OjKehim+L9b2cXCpJdhpmtKDBqG2o+ntiN 17Hz4VsWxkAJ5AxmON8LKafIM4v2YzjrH0Lev9KHiycucnJWkLGjLOeQdsEA /gjx25izkJE5pf2u23cI2seT29LlSQgKLjg/JTaCJ8bR7Plqo7hcKZ5ykYUI 49DwPqNzRIhojDpdGiXCV8F8Kl96BMsFzhGiWaOAzKYGGaYhDCiKqH1UJYGr rq1Qm3MAKat7163rSHAz5zCKY+2DQVXAt7/HyHBKedI4ttwNH+sqqeaXZFxM Y34pNNiJdHP+gkPVZNzK4DzxrrwdhT0sXBX0uXVE/sKmiZxWHLeQvhxL5+Ox m79z3u1rwX6xka+vM8kQDHn3u+NKIzL9Dint9CSDSTfIZVtwHT79TJ8+JELG db5HIy8mqyGsdHWyPJ8EjSTp71H3KsHxKzLfXYmEUw83//6qXo4bos527z6M wvWtP9nsYhmoXrJMB4RHETs+cK+9+Qf+C3n8oj6SCPPCuYcvNYtx7wTbigYT EUF6XjP6HN9hJK7d7+k0gkt5j+4F8H7DUwN7cfG4YVD6Hc3brPJxJuKAZLjt EA5qypdFTOSCXMagfkpqEBy3nyZtTP4KZ3JNHJHWD163Oos7b76gdviXbcv3 PjC6BvK/LsgBq5cJF+tzuseTuOatmHIQW2RbLmv3P/7l5xt7ZqNNIdeoiZU+ D2nqTi6/sxDJc5O4o7gTOw3VKRcysrA3Yu3Qef8ORGed1f8YkoWVj7x20pfa 4ecmPCkWR+djTBJRFm2Quqn+O6iPHpe0FToda0VAsAWjB7Jx8t+cbaVqCzya e+65NmfjH+MS31h1E3Z7c9W0B+fAta073aKkAR6HLEtFi7+ghOf8teCpOkhX WQb/UclFsmLpBVHNWnx0L+EU5s9H/N+yrpq+avgY5J5nNPyGrLstG4XeVuHB J59jnv++ozWvW7I7sBJf5T7lOQn9QN/pZL2q6ApcDlCknLAuw0+GH1tGe8sx JpXGuIPuUYq587fVVcqRannk2dOJSgQwS7KdqiYgdfJJsWlSDRj9zKNH7xDw lRT+8LZ5PSgVXcoSGgQIHBM00DBpwk0GWQJNgYB6a18nydstGF/bEJwlS8CS qb+cXGcrND0Yr+opEvBdqyVt33wbJmomRflUCeBsj5ZN4+1AqapjY48ZAR2V VwVjz3fCQtNo73VfOo/7zph89+3C4dmGkK+pBNiC5Pq0pBtnVSUQPEDAlJ6c 3TXGXnC93370JN13ZUXzWmkBfdAynTHz9iyH622eTyubBvB9164NfO3lGGFu v2D0eBCN77dbLR+vgP4O3xctG+l95t31fjmzAi6+y8LxJ0Yg0JMcsy5biSeH ekYM50eg9XJv+9+CSoz8MZ0RfU9E4vamZi/zKnBzF2xiNRrFxUXTZRWuaoQU BC08ZCBBMN7uhGprNeTG4OZK9wTRodKhR7E12PTcJ3pSjoyHsn+KmLxrEUA4 MWGSSwa57kLMD8s6JGlx8LpJjSF7/J5emWE9FsQdOjlCx3A92LGb63IDlHKu /tGeHMPXPQbVg38aEZRyoz/OgIKKEL79+UXNeLAeEP4pju6bCrH1IbEt4O1i aTCk87DZXGGi16EVlj9KK2YHKXjW8LTg0Mk2GNNUGe6MUqDVwWYeuKsdPeT9 W393UdC74G/7nakDn2OoXQZ0PnP7Oz1JWurAcnlGun04BbfGOjlY5un3Q/Jv 6pwpBbd3JWYHLnVhTKXjXxg/BWuR31nrzvRgT421/MPcMSzOZLTsjqH7x2+V 2iCMYbk2hX3jhn7sZXnLpVNA97CkoL6XzgP4XD9jY7mXjPXtXrm6w4MgcYlF HfEigei9/PWI4TCCbhvrK5eOQof/FP8Z2xH4H2O+1P+bCJUOZhvD3UQUXOK7 FCdCBNvPWHHBFvq+aur94bjKCEIk+0ct79D903g/t1rUEFbzpVqc+EhgIO2L NIwdgE1Bss/GJBJU738NUH3ZB3lwsi1wk/Fuppj5bVoPbKJsfjk4kSFu1CnP VtKF/wPby4Dq "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c0Fu77xxGiZVVmmR9SRKGEehsJaSFKSjKTVIRKsndWpMgoomHvyIjH VvbensdjxvMkm9LP73v9c5/3uc99znXuc53X+30Jmt7XtaCjoaHpo6Wh+f+z 4iQXZBMWcWvH3QPXQ5eQR8MwV1S0CJGWXAdF2SWMH7Y25V1YxOvhGZK56SJk zaUm0kSX0POkKYAubwHYqca8cnUJ87HJaUk7FhAc3m67FLgEd87I2c828zhs Tq+XULKE1JNHfTxbfiPKcyhwbnYJSqt5NBkKv2EbaOo4vH8ZQsTb54o+z2F+ 4lzj4ZObeiLUPVpnDkG36vN0jZaxUk1q5V//BaEPLMxaT5ZBw2VfcezDL0z8 mwhneb0Mjqlnkg26vxD0IJExKW8ZPbYyR2tpfmE9JuzrtcpNvXPdMTSLCirz Kzr6tmXMMy8oyptQsWD8L+TtyDJiSp8neLNSYcm+xiJJXYYGf2bFgwoKJNZ6 Jl8tLIMrvsqSJ4kCb9nQ0o3VZdgZEvx6fSkoTS8LMP+3jLc5PvPp1hS4X89T z9nUY72WIttuU0Dzv1qB5f+KAgum5YLzm/qbXkwDwZyCCXe1uzGbuv3kBPjN KBCnzff9x7ACSTY3DuYzFKy8Pxhya/sKvM7N/9gqToEvu4RrBesKHtVMKvHu oIBJJjTXS2gFPemClxrSZiFlNq3rKr2C+8UrX7aYzsJXorrA+tQKmMR8eSo5 Z9H/OyFA/dwKbvJxOjE0zWCjLtmB7doKRASjSLXeMyiYPin92HEFAkFHyivm fyKqgmd3TNgKglY/KcaY/0Twl91HHqWu4HEwzUnl7mmEctq6MtesoJbDfTZO exp245d7LoysoK2RJzexYgpLXJ7KbeyraOps2b69cBJrLrmBTKdXwfablZkv bwJ8cYtGXQ9XcYmfOuyYP44911T99yeuQqVV5EBt8RgyHhatVTStgnXx1sb3 GjIEHRbevl1dxa7nU1bnu0aR0vunLlx6DWrVLdYfXpPwMFE34JPZGixnrIuT TIiIPPfqP5fwNUw0bJiIHxnB87+UoISSNXTR2k0+Yh8CK9Ot2GTiGnasUWl2 t/XDyPNA+S7adTQcyzP+kdAL5+kGDmOedaxJKkwEe3Zj5hUPUVtqHfe+ndz6 VKwTCxd7OlIV1hFH57VeP96GFekhzmLFdRjZpHD9I7Sg8jCPes2RdQhOt3x4 +6wRjJ73IuT41rHFN3R+uqge30jCVW/W1vCin50yhRqYR4u4fvuxBsUzFK5v HJXo1Ehfz97sX/RUEElMvhwGDJ8dG8+tgSBG1T1wvRgSnQbE4vVV3P3xbFvr ZAGKo2WWjbNXkcx/3k8+Lxc2qZ7LxSaruM/JVplPysL4W/Wrz7etImrLjq+M /Wk4wZlXFZa5As+cb9eroj/hqELGQPilFZjgiND2uSSYmQaR9CjL+EgTY/67 OQGdocKdzwOW4Snl/3xYOx5yySPHyELLoO1uflJYEw3PBEGfxa9LUFRZPBAz H4k+JZLgGd0l8B7XOfyiMBy6XyXMz04twuGNG/Xs31DoBFZoXbm/iG2vRa5z FwTCZ49S5ZalBXhkMLIWm/ji8nmb9i/PFiBx4NFAZYsnQq45tVYzLmAyJW7O oNINRb7vJmxfzOP3J+67sj+dEZ9zRIm4bx5zy28Iryed8HOkPvt02m+IXMvc JfbyIarsjJRylX7DuPR8HWPTAzh3BakQYucgfzJJdT+bDYYfeNl5085Bgr6l b+OfBbwF5V4w2fwCM61eTNJ2U6zIJOrE5lDBx65+vmToBsSIrltfRlEwZNN2 y+rXVRgc8Rtt85tFmHvfzmM0+nj59KWSuPsMWi4dm2fo1MHtnkkPE4+fONgY YXbB7wI2lDJSTz6fxsgB96gnBmeBnti/nnFT2JVkZSw7dgYxSur/Jb6aRN0i U2lvqhqY3r7XEHozgepyhx0nWFRw7/hPp/cfx8HDLzNL6TsJv1tbdtaWjUFQ guSYb6iAW/0CGtLDZIyK08UaPDyOhunING8mMhgeO165wSwH3nGjS3cVRkE3 GBHFSS8DHRo9LSNhEi5d/6uwM0MaXux0N3byEfHwuLfbSJokmqT2PkoUHsFd /UnZtW8H8W3y4eBz+yHwVHS9fH3nAAgRQa7XCwdwnUjduStYFL7RbDonOPsh E0RXl8/yHxbsyW5Fwb2Yrhm/WDYiDDuZe7qyad1Q8g3+6ZcnBAGDmAQeSif2 WPmU+BMFkaxfldp+qQPbE9hS9l8VhNm9F31LrW1IzQv4brVTEJbJSg8077ci cmRvPM2aANLpFk0LRFvwSTfX6T9uQbz771dQokQjeOy2ZhQGCWJ05x3ZO4YN aIhbz7ivJ4SXpA8uqj9qsdQ4n1N0XxhmtxY/mrlWo9dgq83ohAhyAum+pFtX QiZfqXW1WhR+Nu/PRflXgJE1V2WOUxzNO0/Tro2XYciBvoBYIAEFcdr4KMVi BDt0+l/7LA2uN+Srf/59wWJ2977UCBmw8T44MCyaDynxp1HSKsch5CwgEZqU A44QecnRUUVsnCU3l93LwoOu+NOLg8q4duPITN5KGmYO7DxSEXwawo+67lgE foJCuP5xUM+i93y5DtP3JFgU3NANbdXBq/mq4YG3CdjjMnj5cdUVkAIv0PqT 4/DPXFhe4udNuCZZx5w0jsa8yJA1bYgF6ro1154HRULw5BG5KtgicrToj8Tl cBTM+6kN/3yIrknKkZd8Yai/9oIo9eYJAk76sGzcCAK/RxnNJWd30AU4mjAy BODvmo/hfSUfVF6YzKrY7wsLznP9fObPYbmnK6IkzgupnZIb4mkvwCJ9SOOi kwceiI3/6W58BVLCRb96JTe803x8+bB1HIyXzCzsC1zwMcBPvm41AWkPvbUN PJwRvdjAHzKfjKyUJ40Jo49RYGW+mjf+GV8+nI8SdnqEX7+4I5x8M/BD/25m ppwTNNZ98rYsZW/mk7uh5vyOEA1WTb3InQ8tIaL6e2kH1O3bg2fFhahtXAeT 1UPIKi5xafwsgTtTWr15uT2Mr1SGRPWXQ/KVimmRgj2uq3WsmLyqRLaP9Jx0 hx1q2dzYqlJr4EYoGuN7bofqdu7AFf4G7A1aGFa0sMPGwqBt7r5GRE2XxNBf ssOzuGHeb4da4Frs7Npy1g6nZ5S3TY+1Yudfbz4GfTtM2Nk+Jha3gzVi367d 9+yQrqpx9E5qJ5LK9nc4R9pBIftShnd292afGz8IDXZo+MYz7tjQi7o8bkmP nfZIScriGJjrR9TN/csGN+wRkO25vVloCL+PTFF+FdnjpfZlbQaJEShMS3pv FX6IAjHWPyxniLgjoJ1rHPUQE7wJNp3XSeDZN9dfze2AYn6tFILtKNr8hSX8 vmz+11+Wu+cjyGBtmXrab+aIsqid5ZOpY3jX6/vKet0RYlfyW+d9xiG2Rq+e GOsEg+XLfEOXJzC9OvwtQOMR3E63lC5wTkLbQ4xy8M8jMD/niatumkTZ1maF 118fg7Vds4nnyRQCzWVvj3s+wUb/kfsLe6dxW0HL6pi+MxyjLAw8Pk1DwnBU OvXIU4SQJpU4D/9EWO1ZfXoXFwg0N67PdP9E0HHFvUn9z6B3U81P4e4MRC9r 6UnouEGCbiW5dWYG7EbTQSn33LH9qqlInNEstlGdBJyUPTCm3iHl/3UWJo8k wu/s94TlhRKvu9sp+LbefIqe2QsdPul+jJcocAgOlmyg8UYOQfYUJYCCAp2F lC2qPrjqtE6Rq6Jgxzb9/N4oXxy40Zmx9psCA+LtDi9GfwycfHpNhouKgD9N PrpBAfDVZmj0k6OietfW+cxDzzGyKv3C8BwVK2e7vguMB2HDzoap8QYVOvfC 1dRLQ1Aubnq67Q4VFSVtnLaGYTinWiIu6UBFoNWy0A3zF/iwvTrFxZmKBzIb Jffdw2HWtLFdxZWKZTYapZyMCOjf3lAkulFxnK8rRVE8EgftDux9tqlPKAZp ipe/QoYbKfGfCxUbDITrgY5REK/jbM5/TIWTZZfkS+032D5J1emxp8Lr8cDp pNOxmLPV7A+1oeKp+8VWVbN45Cy4XF0xpeLR+oNIdv13OEahugobUiHK6N5H H5KAloI3jrwXqHhyItd391Ai0pfPWJFUqOiylCubOJOE3jMijxxlqTgf8iZH uSEZM5EU9sb/qHgpQ+T8Z/0RU1mS0YN7qJt7hWys4IHPyBwdbXtNT8WBfBXj WsZUXHKb05qaoyAxdCeP34t0tHB5l+r0UKDG2/x94VAW+sdOzkuWUJDQzR7t n5mN/27qr6jHUcCfcqQeBrm44Z/Wf+0pBb81BxR3COfjvKCNq6gBBX+v7Cxh 4/6CCo8gdSNJCjbKL0t8UCxC8zea1Pc0FKToLVVeCilGhEXml4TmWTAXSHPU 7S7DdKeaNSV6FroxDP+Y7pZDK0laK8V4FkbMs1qrPysQ8sQqL3ffLCrTPOP1 giqhUx6n4dE1A1pDoyPKF6uhqKmr8Mx/BlutrdInj9VC72uSN73MDDQOi3ra qtfD1W2A2bLzJ9iIZ0a7Xb7jSUBnG/HeT0wNnMvYOtyIz0qHbn/amMYuATf+ pmMtUKBnN+vzmsZOFqkQC51W6PH+upXJOY3Xq8VVak/bUHvPVdr8/RQuOyaX PM1rR/gVM687olNg37rd5fefDkzTXr1y+N0k5H1qCXqXu8DNYsXCyTqJuMXe KPqv3ZB7aCAc4DgBt4QNVw7JXvhMLIZMNm/yINJ28b+0PrimM5+J3T8Oe96K PWZyAwgUpqPhuDWGHBLrv2iPQWS6BNQc/krGtr8FRIvWIbi5OlSe3kbGasHU IT22EYxPsKr8pzOKPKrxH8uiEeQfupqWH0ICaePHlzs3iYh5zPt2mUCEYKKI 7WtaEtjCCN5slBGkmqqoD8aRkO6jvnKVdQT/1in6T7lG0aJ5/fq/D0OwIstH MASN4oxicAKt8CAYiqOChpZGYWi6s2oush/WTi7Md86Qcasp9sCZc3142srz ji6EjB1cQpzJGz1g5vWIjf9BxhjxuKVmRjc2GF/tlqIdw9elR7ffXO9C2N+g S8kHx/DUa6VPbnsnBgwTs1c1xpAaHeQyusn7ibv1+dcMxsAUf/0NU0obXveT /1wwGsMu0x0tbLGtIGkamFtt3vtsk6k6EtECb5FiXq3N96rn31ueEmwG2Spp V47kGCj96jW8hxpBkxHL+4x5DNqfja+eP/MdUg2Dlcl9ZDwhuezacKhHiHA6 nXYCGb9k8xQEi2oRx+62nnVjk+v2FROmu2uQp3NYSYWVDAzFfeTxr4K4lqB1 QNEo9m7NXFfZU4mc2+e15a+NQmSv/NH7JRWYaacYc8+ToBniK975rByqz3zF WHxI+N0w0xGaU4ZCh47UHWwkbKFT2/88tgRUzdXgXVGbeTI7extD4Vd80ZA/ tpuXiGNh5/9S6YqgZp/hzB0zgv6+hvhx5y8wihHhZOMeQSuTt/TZfQWwTJrQ Lz80jEcvpGONJ/KQKrT0OV9kc17o1FZNu3JRxnaxy2v/IEwyojqTJ3IQuWFr 68UzgO8GQ2yRXDk4bndKaJS7Hz9fu/jWW2bD4jfDvU/7+qAuc3NyV0sWDk5L aWeL9qLERMb/tm4WXuv45BbI9UD+4AEhsZ5MrJW3vLmo3Q2Fvtm6Xccz4RXh dWjBqgsr+r9OTZVl4APXN07aoE78iB975mubgelU360Njzvw7lSpRZlCBlQN MnfRPGwHk7KQ05xaBphF9DcNvg38JSkyyn4ZcKZTTLoQ1goxZWX9ui2ZYChp /n0ltwUfTiLiZVEmBJJVxl1rm7HDod+79nIWZA42MC30NuJSfum6MU82WP1b jJn3/gAPWXV+miMHLn8WxneVNUCe00wub0cuvszcOpvmXg/pdMaj1ofz8OKF ApVyvQ5SZx+cFHXJR4nidjWyTi0Kbi402a8WYLog2TjOuAYmafqBJ1IK0UMj +feIZzWyCB67S8O/wmyfbwChuApP2BDh/6UE/l3iryI3c9IT+emAo17luBPD tmjQS4D7tcC2nZ4EONzfw69xhYA3x00Zf9ysQprV2TnBmQrEqjxXLrevQXQu IWbH6wow/XgefaK0DhcJ95aUrlQgeVLidJ7yd5hb3JpYOVSBMdKZwMi/jTC/ PHMxcncFElqybB2etECrgFvPkbUCL6teLbGxtEFa/2gUM38Fct3KXrmUtmP4 vSLnwukKVMyrsqgUdcLU5+NlFo8K6Ih/+Rje0A1ed0GBhrYKuDv77ns83Yu0 3uCLH04Q8IzYOr/AOgDyhJ67fD4Bnmuv39rKDeHeeZN2MfVKrNsnng4V2+TL eO5zyalNnrNJLHw/SMR4971nuxOq0CDMUfZagASa7OPKhXercfWAZHQ6wyiE HXz46M/VwOy1lIBT9yjkDekz507VgmP17BTHSzJ2R4/AT70OR5bFyDcVxqBT 0/yj82Y9/K+cpPbUj2GkPatqKbgBfJI3OwJVxzFzMdqeueU7jhuuU38ljUPj kuNuadFGHKyrkeyZG8cIm+zroLAmlE9vZVc7OIHWLVsex29tAf2VGHedixPg 2Mc5oLGvFW/C6HXLzSfwZM7gyB/1NmgZuUaJGE1AR5Q94J1HO/DGSptPbgKC RpJbppo74CfSNz69MI59hYUNGtJd6NqTseNB7Dgehi0L9CZ0w+vdJVdxyXF4 kLnpzgn3Ilfk1VOlT2MQv2kyU5PThyE9N6rXrjE8cR28XXd+AMJt9ycTTMjI KlJOixwfxISiiTBX0ijqnU/9O+M1DOqvf/TKnSSohl4YcAgdQU5Ixs+gBSLa PA8yZRkS8djhRWg0HRFsZMF3cXwk6LtUdGjSjGBBhzWpqZ2EJuPvrj2Dm74j nNK5x3kUDN0JWsPv+lE/b1MWxkzG1GV+BZaLvdgvpO3e8JSMmtxPUkXULrwP uyfN0EDGmne+4oWgDigHu70lTpNhPRgV//lVG3Rjbyqe+ElGOr8xy4v0FkS0 2PsH1pFhxGTgWZvdCJPgpLLIF2R09wTH9Y80QOvUtofhqmT4jiUkZyjVofO0 QYrCwCgOqhQKhX2vBptIZPI2k1FcnfpAEg2vxPDsdIJsCwkflDSnxCMqkKhz WcBTioQHVfTF7+K/4WPOjTxRDyLivj3g+BVYgsJCLpbndSPoVu2rWRgrQpfA JwMu5hHYyJ0VkP/0BRYbD3pn64YAVd+85J0FUHFwtud2HUR88txXxuw8cN3h +DgiO4CuEOmrv4NycflGucOWX32QXyBmX4zNgWqy6GRbdi+4fX4ec+nLhlzF 9RRZlx7w6v6nYaaWDS6U1KZc6oYF+dijgPYs3Djj++nG5nwUPz5vx+KfhWvZ T6TE+DoRzVq8kWGcBWfVsbm43R3Yt0adztPPQpP1lnV+nnZ0bAnWWLXJQrCg btaARBtUMhSsu99lwWlZS+oxUytKRR1YGfdkIz3U2bB6sRntbaKH58qy8Smz UEVzaxNozbYnf3mXA2Ph+L3Sp3/grKX84czSXHjZHdVfT2mAyxPVNT2efJBe Bf9iUqhHhIEbk3xJAdrYfvCnUmthK2RdSflcuLlHbTsm11ADteb8sl/TX1HM p+/GUFeNfyPzrfZ+pchjeumuXVIFj6sFzvtjy6FL5XO2Ha7E7sYt56arCXjf 3TZLL1UJfTO3yRjNauzfc7OE+ImA3g+x958frEOAnup2Zm0CrMkD0sv3v6No ZjElh4MA04pMl1/czdBdpPmtTksAk3hsf2J4K3K8YssN2AnQ2Jt3/3tVO6j/ ZPa+VyfALvQQgyVfF5qynk4zBxJQbmUilSDWA8amtw9Zxgh493qMwIY+ZOf3 xgKVUJckscsu9mNG16b9+8dK5I6Y3gn8PIiXDqdcPPdXQVeNL8PpyjBkmZeG TryvwvFUC0PFZyMYeyH1s1muGk/dBoJENYjI+mi7JN5VDRobY5nwrSTUS727 Lutdg5zyadnOEhLeLFjtIqEWt4IOHXphMYoXif70Esx1ENtjFF1AQ8aIrnwM 60gdxFOao7yDyXDfat4eXlWP/U4GH7y3j2FvXnRbfnsDos4sU218x+AdVfCI PP8dPzv8HbMpYyhy+zF4+L9GXE08TUw5PQ5nve9xyVZN+G1hbk32H8ctYoz7 leJmUCrVt7CWjMOcZvWRWFgLaHsdPJeGNnkl7xuqod2Kcs3rvDa/x8Hb2WHH tOkjzWNdd1SWx6G89Pt2jU07uPe933g1Mo4T7nZuQw6bHGjf/1Ho6zhuBpT6 /QnohLtmVMIdz3HU251JL0jpQrivYby5wjgOUz43Punqxl7vaaZh0hgIn0U7 3Hf0grG/ZsnLZQx+4mHrDdp98G00eTK4dQzSsoxE1oh+SD5PlDfyISMxff13 OfsgttSpsDcNjeKbwO/9ja+H0M/evXNKdBQOCZYuR1lG8Pjk1y4BYxIoA0ef TbeMoDf4VMyaNxGfdq+vyYQQESr5Nls4dgQRYtwNyWqbPOTxs+TRGkb6kImh cSMJK5r2Jz58GIT46gyR+fwojDfGPiYt9ON2Qm4sc/koDuh3crjJ9WGYUeNk gDAZ66WnVZTv9uA6nV1UiAMZVzSapj/EdsE7f3fDr2Qy5guTG+nEO2Ft7npu 3yYPDf32bqspaMe5NpUdqb1kHAnS8mrSbIOSaH2K0abmEk/8c4jUgvfR2wek ashooS/sZN3RDIm9t7Nd3pIhpXZonPX+D4TtOhP/z5wMM6IQ7bn5emRWZdGa ipJxzqOZ3pixDtWHpjsW+kaReY1FuleuBk3Soi90vUYxb0TvkOlVBS53NqcL AqPo1wyRPDlHQFdpbT4lh4SkD6IeKm4VGP3qmGGmRELRn+NvRiTLEXE+luFv KRFGQ0GixqulkIsoD9h3YtN3chY5AjuLkfj95uThzBFMet0aSpstgkesueQr wREc45GoijlViJTy2Xd6wsO4x/yWprmqAOF3/aL0aIewQNl2NGIzf2U5M5Ef Dg9s5rr0EhnTPOz/y9NV8q0fp3JlvvPZ5+LWDMeVhfd9UA48+m3hUw72Okz8 iQvuBX8ZR3n6lhwQePLD/z7rwTVC1+swt2xYyf7R43Xa3M8anJVVN/NhzlLG sXqnLgTByb26NQt/Hj+inr7WiQTGq4Fpb7Mgz+PU1HK2A9eWpAVlw7Ig/TBF jKjZjk7Lh9z0iVk4vXx2KO9yG0S6n9MYdGThjbuW6817rchWf5U+I5qN7s5t +9oiW2B4MTRqx5tsEMx2rldHNuOk0IaY4+EcVBmY7/3E0wSRD3Kz18Zy4Dhv qb9H4gfG9vv8szyQh8XG0rCHDxrw751W/MjXfNSsa/lHjtVBoVGJKyLpC5JH 44VPBdQiZ2ri5TdKEQ6k7C6XM6yBp2phyvj7EqxaS6Rf1auGe4z/7kfN3/B1 6+Ddd45VKHtW/ii1rAIiQsS1A2WVKHtvVBQ/UIkrPEYfPbkrcXZDZovL+xoI EMo5vuQSIBHAM1esVA+TC0naRjYE3GuUagvh/4FVC1q6KyBAmOP96h/tZvAp VB5NPUyA2xau7e03W7FnB/vgA3kCZifeG6YqbHIifl9/txEBK9189GZHO3G7 r2aPaBQB0vPUcxoq3WDydI7KbCfAy/nSuyeNPSgc/Kn8l7cS5X5XQvfe7MP/ ASaTvsg= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFWHc8le//roRPZEWUQlJKKYSo5BISlQhFUkaUQkhZUZKiTVZZ2Rzz2CPz 2HvvkcM5xxaFUuh3vn/9nj+e+3W9nvF+xvu+xi1sZqtjsWnDhg0S9N3/xshl ouDDZirkTi6KG31YRma0No0gSUNOt5OqaOwSLuWSn9ZH0VAnLsVsmrKIufyY 7uFt49hIBNP7up+oyish2MSMo8b5bmBq2Q/smx97RJCegE3IzfFbLQt4xqDT f7tiAtky/+k+WphH/0iS+EOdSey206jzEZnHB/k+7xsbp1DZffDXH9s5GArk vLVJm8KQYfEj+4IZKJUusvFfm0axClONksA0Du5YtazaMIM9+bfIz4MmEcg8 2lAUOwM5+XySvvAENGJTbxxXnUWn/+eq2EIafMiselrDs5Bxy037ZUwFOcx5 C8uDOZxIVF+w4KBgmJMqdXF9Di9dXgi61oyClnNFf+jZdwguSZmKepNhwsRu EDT9Hde+zk9UOI3gWFysrK3oPAaPyoyH9w+jsCeKdE1nHkoTm8OdWgYRnOmw sNFlHu7vKuoMm/shqhsu0ft5HoebLU9O9PTiAd/BberZ8xj5zZO+Y7YbQ4es mL/WzOPssc/M8hxdeGs6o1LSOo9GZodv21o6YP+46Pd61zwGRjcJGAe1I6u2 J1C7Zx5shh1ZJRZt6Aj/N/Kqk14/i1tm8HQriDFcO142zeNLgi9rs2IzNn6e FRUl0eunOe4V5G2Ezjvt+cuZ81g1eWj2b1M9OJ+lXN//aR65xPGXSa9rMLtX K2LQcR6b92gxq8lXgfNs4K4P1+Zx7bq26dlPFXBUk2SwkZ9HmF0Ieyk7Ce+6 4y5+4J5Hb9zd4+xhZWCxyuKR6P6OTRckq3M8SsD7T5DP+Ml3TDqeF5f89RX6 y1XWXHu+Q8hMv4A5tAAmCqrKuV/nwL/xYaWOVR5eV2yYqb08B5v7MvF1t3NQ 7eir0DQ6i6I8pqftb7Jw6fciscZnFroyijk/pTORZ/nx3hnxWURf2CBy+ycR 7z19VZ40zcD18bNGuY/p8KbeKiq3noG4S/2pX3dSYSbxRfsSywzWVS7o1Vkk Q+Fo04jgu2nsvO4s4sVHwEbdWv497NMI/iQVM/8vHnPiBELVuymQagv2ZPDH YSsbl99WiSnwnRKQt++MwdmlCMqflkk4Wi5xGcdFQ1z8oFSu3SQucZ8kzb+J QmCV0UdTrklwtTh1pr6MhMSgQp5A5gSsqZmSJge/wDfRYcvnxAmsap2o616J gPqRuQGeLxPQOSS3Ob4hAvVpjMf9Aiew0uxwsik8Aj9Prwqyv52A5UaL6gt2 EZhuao/lfzMBKq9/aIVVBMjvDosfeD2BgoJnlxTuROCv3n850q8mkFTN9C3H LAISSz0rBT4T9D4hDD8wicAW7i1QomPZ0vjtkjcjYDgZ6lXtPQHB7t/PZ69H YC7Tt/4iHefEhYglX4vAq6Rxzo6X9OunXzLd1Y/A2MCU4qDtOA7J6G29nfIZ lW+7ThrdoGE4iVFtZiYQN0XJi/+2UbErsC2zX+MjnNiCa0o6xxBie+tOx9p7 hLga398bO4rgsYV/Vamv8ZG5gcrgScbdjdaTn/W8cSmwKbjo/gjKZUuOrOd5 YQPPKdZPncNIufBMhZLiiSVj9sfjE4M4/3p6/gH3M8g/Ub/rUNKPdfUxRwf5 p2CYW9TS+dqLbT3v5Eq43bGaaRnlNNQNsWVz+/j3j8H3Pm9OJb8TJt0JTruN XCH3mMd2qKodIQWe0idaXBCi8vQS36Y2rPRMyCu0usCYLzXGeUMzPPU+Pjn2 xhUXhHuVSpzq8diJhf8BhxsYfM7v3GdUg/rigXEtiydw/vKrWSaqEvplFwSa 2zwwvNfJuCeMhD+fEv1t/DyxqJnQxtRcBpW48mSFYi8cWn8qK2BcAo6cl7UK lt5QLQyUeezyFftbGJjVkl6jsOZwWO5oPh58EgsaiHyPXovEtZP+ufiz4ii1 I98PT1OtuExUc+Ay2y7H7eQPtueLr39szYbeHxVZ3/uB6FhOMng/nQm2z5vN POKCIaMwEDM+nAHX7HGZFJEQrFUamtZRiWCd3O9TsxCGs0MBDQfW0xEs9jWu YmskVrN0+rYmp6G0l1df4n4UpjjXKt5bpyKHd5Nx2kI0/uUub64+kwLFDw5O piGxUEqXPN0rlgwTj9SdiVbxSEvTvP1LJAm5PMQo4buJ2N/h9IptcxJkdxQ8 WE9JxOa83ar3KAS4mTsmRC8kInXVWJatioAUWTUjTjkC3lt5rS3FEcAsFZmu 4U7Adgsh6lA0AR77Y7IMvQhY8HF8Uv2FgN8jK9U2bwgI8rGvSw8j4Eam1JTn RwK+LemF7gslwOVtzz+2IAJCPv9v+/9x8MmTDI5PBPRGqT/dF06Arafv0gv6 eSncvRPpkQTM3GXsfuBPwJzkYEVNAr0uE+cdE18COBUX0shpBCSqfEq89I6A RtXYpLUcAiqmytgr7hOg9tbRx3uNgEiJhPXH2gQI9AacGz2bhO2ZNbtcjhFw SqWam/NDEsQnZrYU8hDA9NVBiLsvCbtusFuIHUsEm7UZg7RyKq7s7rv12DgB lrQEk2RKOjp9Y9vZwuJhm1XYFGyWgU+vI8vPjcchZ8Pvo/qLmfhO6+D9rBSH ot22EqJJ2dhsYLHukhCLW1IK31Nf5uL6hT6Le7tiYSw1WpT4Nh+N/Sc+8GTG 4NN54SdNVwpRx3jt5A/tGByxfZi6T7EI9sE7NWt+RcPAkHBb6lwJFINV7xrG R6Pg3147uRNlcAqTrHloFI1XWjNJcSbl4BcWjfbijEZcmpKkegO97+/pqfxu isL5xl1Sl7UqQWwxSvUOiELGBYtNwbNVkDnN/WzuVhR2mP9uboivQULsUt30 qSh0q07ZP3pch1BjQseZ3VHY+dffkmrVgFPkmKsSK5Fo9DipJjTXDJ6Z5C1H ZiNhRXnadXO2Fd4ix5VpdMyftXCZ27UdIm2vttz4FYnrFy/5P6rugOE5T8Pn /0WBq75vt51QF/INC9kOC0fBwW/kzuTzbhwRIXKLnYmCZlrygcAfPQjZuGB7 xTIKZP13Hr/u9qHVgl/2TVAUqEYf/t6d6Afbi/4NlK4oVLnMm61mDKKZlCoe KxgN3zMONuVPh9GlV2z3xS4a7RMnu08dGEFa/iWd9IZoDFSuhN9lI2Odk4k3 SyIG/N/y0urnyaiq9yJ+CIsBJeBLcFvLKNw1n2RKbItF1x3JfWyEMei0y99c jY6F26xxw55PFNiyRn7dijjckVhh03OjopzPotCQFoepr6wNl/VoOEEaZ5j8 FI+sqHgvfqFxtC8NFZGuJuC4w21VhsFx+pVvVf8KJUI9d2Mqka4jKzfjfqYu JiJikfEAx+FJrO0MH1jrJOCYq/I+jeJJ9OWybN9WkgyRpA28Al+nIFAR2FJF x3U/p3yt6fholpyvS2ky+ozeMBbR8fWw+atHypLRLTLqwFo0hUX/MhEyHZ/z /j5gSMcX0hOWA8qTkV+VdTqJjo9axCaukpJxXzNpUb14Cm331x+YVybjPNX9 4zgdUxxzrzRWJeOupyTfy5IpdJ5ItBnpSMbD4UJyRiVdt0tk2NbJyeAKHRrr qJ+CY+ef4/vnk3HNXGP/TOsUrklHzl5ZT8ajYlLqn+4pdB9J1rz5JAVsorv/ qrBOw2OkKcJ8YypqQ4bToxWmccm8rsvOOxXLKlNZR6ymsVtfSv0NZxpYutW8 VoOmofSAIaUoLA0iHRUMB8qmIfNjfvj+s3TUWJXEK6xOw7JUXoJLjog/fI1j 54/NICpHs/RpBhHirqu5RLMZBF2fM98hmYGia2ybG97NoE+13nUhMwPhCzbB P7NmsHXG02rvyUww/9Z44tE1g89jQsUdG7PgaHr/1uDaDAbd9+ZXtGehYjSz 7Z7gLPo/8LMppWZjS7b16g+5WQg+zTIO8csBmw7ng4MXZpGxnHL4oEcuzhfL hScbzOLy1yGCsksejPTU4lhMZ8FGbM9Wc89HTMiTVyTzWez/uURQmikA0cv3 gPitWXxR39DkY/cVnUsXgjsNZzHNNfhgN2sxRi9PDttfpPs0vdi0TcUlmL6a MBMoPwvf+uPlcSplyEH9hyyhWTRkrT30li1HW9rk6N5Ns6hv2TWQI0PCj6cs B/aPzMBxTlF4j1cF0q0ZxMWIM2Dc0GwyO1kJAy8upQGXGSim/xiVv1ONDyok l0unZ/Cx7eSfXWs1WAzZ+tr1zzTMTMjhhJQ6WE+vriNjGmxxQf9NOjZgrTP2 i5XpNGqU58VajJrgnKW+rYBlGtfWTyheHGyBo/ex2fTAKZzWjWI7p9qGW8f7 4xd5pjArO3LyeEY7CivPjWV5T6J/SEODQ7YT83WRNgyzE5A4nCH/vKUL/9b8 btFUJuDxX01b3lM6bxC2aOq8GYcaN2OVkGofSnROT8mSaNDqeqx5nn8AD0mz 5Z7jVFwTWz9DWB9EBcNg1ck/FPCvtIxcnBnG6Y1bu5+vjOGJpjouqY6AYajz I//2MSgy1Jb95iTj4vGA7Py9o1D6b3vdkT4yBObZC9z3ktHW6EPW/zyK9Aes NuM8I/h7/OH8otgYdElLdnvuDcOKMYVViziGVibrEqWwQbi8kEpJEqOga3eB +3VSP4iGc0Yc/hSs3D3ErPOtF+OCT87LDFJgpj2hUKfRg2FRh6vavFS0zbmT NmR1QWhaVO49qDDsSPYfF+iElw/PDcmrVDwObztU+64dzxnLLRMNqGAdj38v y9SGcK8ws8yzVCjJpFb0bW/BRfkNlfa7qSBKTrHpoxGqrMFvn09T0PulNdl/ Zz244sWpN1Lo36Up6H4pRy0Svmn/NTSm4ERnsEvQvmpIpl36vIORgsOaj2qV DCux+UpR96OIMSjPfeU7nUnCSV9f0lvxMexm/hNz9Ug5Xp6xeZNIHIXI4ktb zeBSHGqvmJAXH4V9nouBys5ihLQcWayIJMPId1+54XAhzr97UdTDQcY0W56O 21g+xFZsG1ZdR3Cr4JDH7L48TN7bJ3Kl5ht+Rw6QP0TkQNn5TYxb0DBMGHeR +S9mo2wh8OWkxRBOVM0aXRTLQnt0fXSj3CDetO2sYT+WiVK9sfOs7AP4L+lK cQBdz8Ub/+NWmuqDaKDkEas8IhR5zuqUNPWikIsn+vkRIj43ergGF/TA8yM/ j71XOn6UP7u737MbH09dCt/Vlkaff886VAy6wLHzxHihRRp+aWgEhyp0Ypd+ iOzc6TTwObrp+0p0gEWqOy7+ahqsysvuakq1o/tuhC1HWhpkqdGqbWfasC1k jc9ZJR2vmaYMfpm0otzZqS6SlYjIfsHODQIt4DLV1rwTSITXsQcm9xmbIKqR 8cLndQY2WG9zfSncgHcRdfGmFZlQ3e58nNm2Dv4phO1catnYE8d5P2i6BmH9 gYLy/LmY+9zW0RdQDVfly5tG1POhKTiS5m1ZhfiyAOnLg4WQnGOfsTevBMv2 W20d34rBzrS5/+3LChw5u78yIb0ME+f9Z55GkhAcNsAme7ECXeu5EjEL5ajJ F3l7wKwatNTjVO4P5bhxQ9IknbcO5SE+t79qlMPL061kZWcjBJhMyuz3lEO3 in1C3LoFhj212w5vK4d3AfU/oxdtEBTcurAkUI5lNdeUGacOMO7ZubCiXI7K RRXFQ6+6cGxTYImjRzl4Bp8czs/sgePTApuKrnKw3i51iZvpw5XmIRfOwyQc aqSZlX0dANPiffntH0hoja1fNn09hLyjuUIhGyugfU/LUVP3G9rfhbbbeVbA MpHFJc1nBDx/liYcuCoR0+Mj2m9Mhogje/LLtEoI1lc1L9P7VpMgSAy4VoX1 QyQGwblRNP1KvuO3rRrfj2XeLo8aQ02awUunvmqc0mtkIKpRkGXha6CeVoP1 BPLQdvq8tk14usLiVwumDx3vHU2pEA99cL/hWR1srvdJxXZT8VCaPf6zRz2q SdITWado4F0ON/R514BQn5NyC740yM4KXj401wgZyQ5RUGlIcEqj5ps3Q6Hw pLKAyDiS7Zazri60gHTtzKWmC+PY0PimkL2+Fae8g/DFZBx9XGMn3sa3wVc/ a8+w2TgqhNUOCL1vR2q3vSdJdxzpa49/ZXt04ML3JOJdmXHklY1cFHvSiRAu 4cpWxnHcPPVXW29TN4wIEgsmiTTcbP87Oh3ag+7p0NNeR2mInXMwOKzRB7OT lZo9n6n4te5d5c48AOn6ALIXnWeMtmYfUu8YhKnowZRb+yg4b6ahlJwwjFeq hz12nh2DeYlyviBGIKaSY6p6aRRdvXcyjA+QsbLZ93SyEhmbRurMLZlHISl9 LchZYAQOFsW6tVmj0I38VLhFeRiR7MKJN3XGQDrqFkCUGgQzy/73r4fHcOPI Dfcltn4MGDazyuhSULcQ+OLcYA9OUH3fbw+ngLB4U+g5WzdUfYb/fmul4L7U Fa8UxU5IWC6H1NCf+/mxouB/D9tR8/wa9Qodk+xoRadzW+Eor7QS00SBp9/Q QD9nM72e23TXFwquOhHkWJ82IHj9DsvVmxQMNF8VdOSsg/etT/4vt9D74Fa1 M1t9NcSlPjtciB7D2qqwf1F6JR76SCoxHxrDa44v/0lXkpAQ0xD6LnoU8mF2 Ag3/laPffYvNVvZRfCLsPSHwtwQJwqG6c/fJCH2rKp2pXIRM4j+5wpoR+NWx /dlDKUBj0ufun/wjcDZN1O3sy8MPKTuljd3DeJS2x8dcIBf/TSowij4cgo2I 572didl4fEwr5wTPIHxnzXZeccjCagu7jl9BP2xOSeiPOWdio/hi6/ztPrxa JhsfzcqA6afmfX6CvTiwl6J1QyADrEFalYdHu1HlxWpjmkWE7UclsqNDF1y7 jC9OWxJh/d5ajrazEw67bU6IXCXCslFY5WZ3O0zt/Ss1nIlYLTUTPU1oQ+aX 6/58zXTs1cv++GMrtMo3+0TpZ6A0Uf3Na5EWfJg5NKzES/dpt6VtD2o24ZiF 99unW7MgzfDsl0tkAx6bfJxgVszG6zTlVaXhOnCz+olkLOZgrSDc+7Z2LQaF J3X3bc3Hs07lV1cXqxEbH9Ks/6EQqqWhRm9qqqDBMh4f/7oYOf/dXQyrqURn Wtw74osycEtv/anxowJ1bnmyAXReEWbnveh2tgIXuldTvOi+aVxbPut8KQmP 3BdbRT/XoFzTavbXDRLctn3Tfh5dD/K7Yeq8EAkRw4IvpJib0crKImTNRMLD tNaVXa9awTf13fPnJhIuHc35fO5wOybrXrSSeUh4VTz+8PN4B8oNG49GnSKh +Iq/xOPCLhAqgkqTHEm4eK6IV/1LDwa2c6u/rKLzc1FvpaVvH26o3FmvO1CB jGP+7l7eAzjMXGPAH16B307VBlXuQ3ilkD0gtr8Ssx/8VcWsv2GH8L22/NJK 8FtEdU7HjcBCY3UkwJrOdxfOXT3xhgyqaSSl+EY12vjJNTeC6POOfy3hmWgN lhUdkmO0xoCje8OU/tVg+0nn9d10P8W6c5jt93gtNikE723wo+DORcOC5JE6 bE54bce7kwqJwPG35pP1OJtioVvxngotdjtZiU2N2KMbEEP5QUVmSYwX/+Em JFg+udp4loYDq+OxsnS+u5ayadeqNw3F52lhY70tYOfV6TMppeEW7bn6voxW iH1tLdYfo4Fb3NNL2qMNB6QevFxepOFu4RPyp2vt8OPic728RIMi0yFmldMd CLHZr2lH59P1rq+F2w7T530jR4JaNQ2C1braPXu7QKsYI6R/omElMDzl/L5u 5Or6jFjdoOG2UHjsx7Qe8IZMZ+/4ToWYogDLkQt9GOGp7rl1m4qgI+4pub/6 EfWjesC3kgIoG8yOEweR99qAI5CFAplmRkuTB8P4u4FqJ3NiDGKv9A4f3zWC /HVj6X2XR+n9HlU7+mcE11RWqqR1yVgKeXMiqYOMAaazs+5KdJ48etBn9cso 3fcMZ6vJ0nmUWy7gotwYhJU3/b2oPAgOFSsT6ZIxcNuYBm453Y8bwbakS5IU 7G8MtRQ51AueAQ2P3z50vuNRi3/B0Q2hbZUP3SooUJD02mK32AG+0T3G9wYo OOZ/s/QGuQ3dW3qWWzoocO8VNX2k04qd0oolrNkUtB+Tp7XFNiHosNXE/ccU sLsrJB9oqIeGAmPqOt3ver9/5dgjVAu7ME7n12VjuH3va/4jQhUm3OcEMpTG IC+VG1dvXUH3W4LzbSmjUPVoZn5tXY7i1sCyb4dGMdWb+jVlQxmuPINk7xcy tmz+zUN4VAwBsd1PvOm5Xu36f1wu0l/hsvfyt9JHI+haiB04LlcAhuRrgb7Z 38D7S/FeiFseTlFLJsJchpEcYba8tJ6Df6Qwi/zTQ3CLzjvgXpCNJ0x3dKMY BqFLEPv5JCELY5nq6QVN/fRcIHfHrzITv8+QGJki+iAsd6AmfWsmDGr7YiQd e/Gk1IBb0y0D1eazD6/t6sFkRoh65hoRtRJttNGW/617nH33kEiEed7XJI7A TvC3SLmc8iOiSXfYJcWqA0Vz5KiCcCJk85vviOq1o2u7kUpYJxFWF32+RVxq w94f71pcZTMgKP9jbtWwFQ+Vl5hqyzLAyyVc8GuhGZ63bh+pcsqE3X1v16L+ RlQdb2DNIWTB3pmof/tvPe44VgmMHs3Bd8L3eN/LdZAmGkU5cORBnyI/WtBf AwlBBZ8rVwqwwqkeYPI/fyjNHb3GWoT7lt1/eN2qsFyS7bFNqRSDdXYBMtmV CDnrrsh5qBzlaf4id7bQ86LaXzGmCRJo7zaGPXetQBqj3KF3Q5VgvXR1xoGp ApNacnbtbDXQe3sg53gKCcpvAhVVH9eB41RM4vA9EmKKBHoVDzTCaatmrN8Z EtamteVyuFpQ2a5ZLKRAgvaDxEnjtBasv5pzDpGj51cV1m8Foq3gsbppuIGe Z9fiRmkPnVrh1DE9rSVFgmLoJfEbda3YYFFS4i1Bgl/kgtH93XQeqOq8F3+U hD0/kRVj97915y+tH+nH/90MtLfY3Q4J89FbLPT7GVULMzk0toP05njXJnr9 gQjdT4F0X8Sq3n/6wTkSfARpne/lO7FlyllQ6yqdb5O8Nu5c7ISBqvBNX0sS jrymHBzP7ILKpzjN8gAS/vw7/9zwQA/EvDbbrjaSoMPGKPQ7phddIrtPsXNV YDj5UeH0/n4k/dqsVWtSgYsSGWwHkwbgUmx8Y2NRBYKkYz8+PjKEseikPYF7 K/HtmXlgQsow9gVlq5kHVCL5QiujwrYRNDP7J/0QqsKGcwkTk4MjiOfap2ER VIUP09/OWD8i45ZY7YPd26sRJ8nVukL3Uc3SXxw5wqrh3+lW3Ok/ililoEW5 wzVwz7Zrv7ZjDOMljLl+pBp89SrJ2xg4hh3jMc/4zWrB1VUibUr3Mad9jIXO idWB18drdNCbgt1qqoPUv3XIYK06tZGerzfU3ND/21ePbuVzGgnGVLCdtOd9 X9EAUYdvvq35VGQnD/fE5TfiZZv7p0hGGvYIPG07X9CEN2ZFOlfVaLDwZxn2 qmpGl/3zkrOPaahQSvRu3diKfXyl530INDzlJfLpJ7aCSSyHUlNHQ+ZmJ42r V9sgNVzhmDxIw0mp3sv1rO0Y8xFv6B+lYUK8Xi6pth2WO/hlV+jHLSbZ3Ghv OzBwricyqoGGl9etwu8YdGLyRui3W+k0TL1yf/Hyfhdyt6++D3KlwbRv/6s3 vt3ISBp6Rpah4cq+esJocQ9qAlIDhL9RsfwQY5VLvSji1oxgc6Vih003y1G5 fgxKjySfZKLCzKbbps1jAK4qcQnCXhSUpSqIsLUNoiFA+pDo4him/n7hHdw/ DCeDyWsRV8cwN/WA5+rmEbhe4uOxNxuF6W6NeeefIzA4QFbacoWMqYXr8nLx ZBhUNrxvovNep4CChTldN8IamfhSt33Dp1jLzZ5doxCur3PTpOu9PZN62xbt MQynnGf06htARo/WixC6PiRtXVN5JdaPC690cmMFKTjDTbIWsetFtbK2mrMN BUx7FqpyiN1QYrHb84nub88fPDD+63QXWkKGJONIFDgfVblt19gBo7f1ose7 KBCQj+9avtkOVa0qBtZuCo5e1HEO/N2KiCVXBWG6DpaVX7ChyLfgxpBOb20E BcoxwpHGoY1YyJ99mG9BwbeOLRwfBeshv9+SZ/9BCqyd+Y5oS9TiGW+OXvbQ GIQGnypeMqqGJAfNePXlGMj89y6/SajELW7zhMZ9Y3h6wuiR/Ta6npTWnDuY T89t5xIuN4XTc6i/t81p5VEot0VHt2iUgbfmoI9hJRl7w4zWJMRLYHKu7Ogo yGjWa5p9z1AEj6EXlYq5dD/93NRQiq8Q/QtJ3d0HR8A2bGK4dCsfdPH5y3iM ri8dcW36tFxkbet5yco5DGrpqm18SA6sjo74sc4N4nobX8sh92xEvxM6wdM8 gNzwLhnN11kwn9HjXcjoR1uwaH5aSSZYQ7P3HQ7tg2XB93un+OiYVLCf9U0v LHO2ZMn6ZWCFdWdtuGcPZqQOyyocygDnG0zme9L/y+bzWRdGiPCLMd+5xaIL jipbMjJTiFiOs5xx0Ouk+3lHVp4wIn7OOmbaX+7AY4dzCRypRHgHckqrGrXD 0U9Bo2+YiGCGK782PGpDmMC5rZJSGRhzdtcPCW1FJd/BkKuxGagyKXrb/KUF 0z6+hltPZCLvjsygrkgzFt0efPSezwRbD++dCMlG7J3k+tBzPBu71B+P5trX w2+5VntPcw5svR2Tb1FqQfksfNu8JA9BWTIhhi9rcN3T58BBrkK07XlwTP9K NYKWhzjl24owuVMwRUyrCnrBxxXEGMvw8csPjzL7SuzdJJ2tRymHm6Za55Gv FWg484Fh59ZKfLnOnRPCX4G/75UW59urkSPnw3c5j643+rqjHdZ1kJWOzd5u T8KdlSMNVlqNeMr3tr1bjYSUgFyWcNcWbJM7dTGUri+cbQUFS/TvoHLi5rVn yiT4c6gbs2h10OuWOhTfJsF+j4ftXdUupAvUBnyOIaFcNm3cSrsHQxdz4h/+ JqFR16CV2boPEXEuIh3aFXAzurLD8dgADrSd/L6roAIaVYPaK78HwS/MnrhN qhJbtxQ/NygchldNxGWv/EpQ1dVssuVHIGNXwXuO/v7q2569jdxKxoj5lZUT S/R8Iu8dmtVNRqTFbjPVpGp8n8+z/hMwiuGesMAr92vglbKyu5eepz8ybGc2 P1MLkaNvDLZOjOEoT/Nra5E62EZl5mS5UsBSPmVhz1OPbFPfP8prFEiMnznl wtOASTVltye2VDy+d6rznUgjvo/lT9xvo+LQR46B/S2NdF1ZLfyxmQZNmqbm BY8mfK8Re5F4jIb/A2O1g1Q= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdV3k8Vd37pYlEeCXySijJ3EiJViUpIQplKEMZikSiUqgkYzKVaFAihZSh UMiQebrnXve6517zkAbNouKt3/7+/OOzPvucu/d5nrXWXo+S6/E9bjMEBAR6 BQUE/vd/VVzgg6enaajucJ0vnUohWTD6XCHBVzw+S+5Jo+Bzst2sheC1jHaH pJsUsgMsr289Q6PWN/LFojsU3AZrYr4H0ThUZJzsnkGh6O8f47xgGpThZm/N BxQue4SbbLpA4/Kr8QyRRxSW3U46djichgVrQdSTHAoQOlrQEEXjKaOe7ie4 Jd+dPTuOhuHCwoSL5PkZOllXyxJoCNQJnbxJfs9EJi0+LJlGqCWVZEv2k/ZR zpK6TkP4wspswdsUZI14LjsJXvNh4pPGDQoN/ku2nrlGg3H1eZpWEgX+Bdd9 GUk0atxz7K3iKAzqeSay4mnMidGOHoqi4MyNzNG4QkProFCx1mUK31lpwtxI GtseLxA7EUZhXD3s5T+XyPvMkRWjFyg8CA+JXRJKg1verFZM8O28YbsdpB4f ZqjlfLxIYfLXn/fcABrD/UNJSeEUMhXzguRO0MjYxpWMJ/vZy37bsPs4DYMB ndISch6VUxvE84/RiP55erw5mUKshAR1kGD/KYXq06T+1oE/1p/yIfVxqolx Jd8fqB1X8dOXxjHBE8pKpF7dX/+utzlJ42a3is+jfApr96S/yCT9W6xzYsaJ IgpDO8JXVJL+/KrRidIrIfW+0jvpHUbD3aD166syCglOof/4k36o+aoX9Lyg ENQZbRJzlUbemdErJwi+MGK52pvUk1so1+ZXSiHdSje0JY3GLM262wPFFLaa vD/qkk5Df4d0Jv8J6Y9r/P6xDBrS7T03Ysn5sqfnWqzNorGgR+DranL+c8O3 teY/oHEgk5cuT/gGZU7AQbI+mO/3+34ChfCrdUvdyfvJkUMp+yMouIe06Wjc ppHe6XWrKZjwIV0n+CM5j8o+JXZ+AIXd/7jdkSb9i2vhXnxynEIkR95ch3wf 0/hzp403hdzL7dP9pB7Z5z43zSRY3NlWdoDUs1Svxvi9D4UM89O579xorPrY Oz2D/N6XtbV2uQcJ30RbmsVCKMw3L7hSZUdjdszm6gTSP/MgX7+RfTRWRkiH GxN+9c1y0Soi2D3Zb/Vdwsc2B4MwA/J8g4tiytaHFJQPGqy65Egjd9OvuPpC Cjb6KYbnXGj8mfvPw5pyCmv0JBizPUn/RaJk2+sofLiYkPGV8OOMwpPhS20U Qr7LT6sQfpXnf7+xtJPC79YPyg5ET2f0NUo3cAk/ExUMpIheIoofCwTS5HvT qMraWzSEjiTaZHdR2Bkt4MDPJnrUocqqmITv+76lNRaQfjw8d5vfTKFEeOKP wAsaU9PPdq2vorB897wtwlU0ttSoHjAg/Knzs3A9VUvje+Nb3eOZFBj3DsnM fE1DPOnZ05OEr1nHuf6bqmlkak0++UP47yV+5N6MlzR+cmw8x/0oxItsos6R /fyb3OfudKVw9u0fIVHS73fGGi6j1hRu5uUMGxL97ssJ/JVpSuFRV+KRRvJ9 ck8iPq3bRoEKVZO/QPj9Iei1rPJWCle/yQnvOURDoTZwXjlZ1wz6u1drL/Gf JwEOcmYU8n+EagsYE32MbouQ2k+BWbLI9+BGGuO6BoLabqT/F7cnLlpL6tna mNJ8koLc6VibWB0a9nq6wr5E/8dfHbGf0qJhbpm0L5b44zmXNYsTyfqL4E0/ Tj8m6zJVBc7k/Q1yYsOh1RRKI4PN7A1ooHJ9ywDpj8XPwn/fkf2t2hZo9Q0T P9UPeXXXiujvQd3U5u8UWj1NnsOJRmPfTp2YvxRSfy8yPUn4eHrH3gGzuUzU p3Mle0NoLPV/YrhMgom8ZUtGxIlfzVesUqmRYsKy57Bx4j0ak1sanT8S3JHL 1il9RmN0XHPbTXEmwtUdX7U30jAqeFDhMYeJ7ezP9Gwe0evlcp/QnxRebP3R eO0tjU+/+mdtfUMhtOPb3MbvNGbo5YpvZhD+dSgvEpgi/Gzbla1L/MLu7OKG 2v9oeL0rnT33FoU3gouf3vzf+ppVqbVEH9KOzIPrx4n/zpZeGORC4ZXF/LUF ozREao58PWJMQf2F+RJ7Drk/0o4ebNeg4L+4dXkN4ZdmoYI+S5ror6h2MJ/w 03BXVmDkLOJ3uSlNC2JJPf+LjeD8ZCBqemHCKqJPD08RVdXvDGw2dlicsYmG tq5YZ9UvBtpvWO2x+5cGf3tSercoBUXRWdeX/+FCdeo173/7TdVvOPrnExcn Kypm/NxOwXW259jZYS6U1dK7VrkTfaw0VFfu46KGnZOZGEmB6/PS1Yzgd9Rq /bmk34YnI0PVR7gIWzYpe5jox3xe393KL1x0VfYcsZ+kcL9tXRlfkPhD8c2U 63JMBG07qfdJmsbhmL6iGeuZeGOU/nyA8MnHwtdqzIoJU71QsZU7aZT8evz6 qAcT6v3PRXU9aJhJbzfJP8WEvtU1ad0IGjNX2rYJXWTi2t6REIeHhP9RH2W/ hDOhEJzNqWyiYe3uWSYWxkTawKzf6h8Iv4J89787zcRic3XPRhEeNCZTXK6S 33de2NYSocpD1VNdVbPd5PnfXX9cNvPAnNrqnL2SiaZcNRcXax4cTpw3dxFl QmL5k4hcVx7C25yajg1R8NiT2hV9lIeBN0PeH58Tv/PQdAj14iHq/M/uAlIv z9HKOHs3Ho76qpTE2VG447brw+z9PPzXUz/njTqF0Ut387KNyP6r2zcp/GHg 70TX3MwVPJi7H01L6WRA/q9P2U0hHgz9V/Xee8JAofnSco8BGuwfep0n4hlI 166PMXhCo272fpEbJxn4YeicuZfkkamr2/PzDzFQHXWIw99C43hL84O2gwzw Vf+4L5lHYyGPa5jhzoBNioL3kS4ujvXu9/I4S/iStPL22EMuLgtdcu27xUBo 1Z7evAtcjPeJGO1uZqBceWi/9yEuVobnHQmeQeE147jdrd1caL2r+ltoROF9 rA/LyoTwQclEqiaG8PvXcknDXVw8mzdtLEn8OGHVS8VhWy7uSWUscl7ARJx1 3nyho1wILgxLmib1j5j5KtX3Ehe/2A1JDlFMiN36j1WTxUX0pjMCnyqZOJj9 1fhUGxfZSiw5zc9MpCTkB/T95mLptoNu92RZMBKo6VEhfBqZI131cwMLLh3l MptsaHQ9LxzlmbFg1rKlcx7JJ+yYGz0r7Fmwd97YLp5DIz5+R0GsCwufmZrH qtk0ducUGNS5slCcm8i+KsiDzk2JquwDLKxTHLcd0uShZPqSlNIeFrriNOoU THmwNnq/68x2Fgx3jmjcc+eh//nrxUw9FvS3ZJStu8gD/2LTyw3LWaiw2B2c fYuHCv81X2slWRAdGa2sfsaDZVnzRNRvJo59vWij9JKHf7y4IrN+ED+zNuF4 V/FwiftS5AD5Xuay0wX363i4cqNo/7V3TEi+L99f18yD/Kdqu8dDTFRGLb9s 0sLDjD0/Di0guE6w5GwTwfqF6fJnB5koXWS6YVcrDysdu8MGBpiQahAXiSX4 eb7y/WSCW///j5w/aEG+CcFFJg43xNp4UF+15fDvfiYyD76ysSA4pkl8zmOC C1XVijsI9umcVPyH4Pc/a2nLdh7Wh4S9D+wj+53xqqcIfpnd7srvZUL7oVFO O4uHi/m3S59zmbDpFS8q5vLwpIrZcoLJxOOvyjZhPTz4K/8Rk2hlYiLOdrb+ IA9L2taPx9UxoWot+NTxBw/X4t9+2/2QiYRhOaHEOXxsfbJ3nSThy6PJGSGF 0nxse0bL/iH6FvF6/+OGMh/W8q3OxsZMjPndXbFUi48ymP+RVWLCVu5g1JX1 fNypUXA5S/x+u3H0mRRDPgY0I+nHJJ/1ieUWT2zkQ5ZtIHvFi+RVsYRZ59bw IdPU5f+fJsnD0cLN0sv4yDN1kR39RPx4yuM2JcaHHm+p5epCBkZ/B5l2vefB KTHguN0xBuhzL47PfsWD7RWmi4IWAwmWj1IUYnhY2DX5q3ikA6HFY9aLLXn4 Vv2EmxLagbP6azZpifMwy6VMWUm9A4+OxKtmEH/bpBisum20HVXBUSKfztPQ rdz6K6u0HezKdW7vtGlI7b08tvNOO24OtolNd3PBqXkQFZDejjfUQje9K1z4 WZSJ/yhvx8/D1+NTt3AR8Tmlb/5kO4Qzml8KTHfB+VP62RDzDuz/bPNOsbIL LhMlaj6vOpARWGt/LqoL3NieshIVcn6DiP5xhy4MjIpC5jwDY0lGB44ZdEF6 cma96CgDmuY1w181urBh6PcRS5I3qv/ds0CP4ECVqq1KFIW7Riqz0vS7YLPX 4Y65BeF7ofdlRfsuKG5MFzQi/Rec1bHyDNnv66ZNl5absHB/2aEfBzq6ELNu 1/WwehYuBn2wclrOhdeuwEGWXie6faNmPQzkYrJrVPjapU4wA6Y9XDu48BS5 0tFY04lkpesuiiSvTIWdO3HwSyeGA/SEN5L56cq95e8y57HxysxTjjVN44eY +FN7KTbeFg0PMomel9FKNWVz2LAqdZz9rYMHScZrduhIJ56u+/Pu5To+VFd3 Nn570olfM/kuqdf46F0hf2zAvRPh/2mp9I7xMeehV/PdeZ3IPFHm+mhLN0R2 995UTCB+VRZqY3+pG2+b2hWWz2ZBVtgyNaygG073DNXyvJiQr25rM6zvhprf qROrmijcu/Ct90xtN1rW3t7YtJnC2yNmksr53RDlyI7vK2XA3rXn7nR4NwTm x6xMX82A1ZnLvP27uvFiQ9CBm4c7YMS2jpb6y8eYd6Mn378dhdffxSZl8PHs 9K2/uSlt8I1ee7VSj4+GCwu+GHS24vFpt5g3xH8aJ3N8V2u1YqijNbOA3I93 H47r381qQVq4zKU/ZTTKlmRdF93cAj3PibwGUt/KSzMtzvxphma1jLIw8e9x wbmVxweb8ZSbuPW+PBfLaiymRD82IzvkgqpVahdolauq85a0wPeBrWz8YsKn SfvUutMt2MR7P+9mLgdLGtXX6P5ugYjwmsLDxhzsYxWpfchoxV+jk7rXx9iY Wit47IdfGxz1NjfFZ7BRQNEjDLd2cNYlz/TzZMPIS6tkx7kOlOUFm0uBDUl7 0T1adkSfkq9SZFXZKK9fUjOf3GfZ3ob97xXZiBMfu7aP3Oc8uziFak02jl3r WSjjz0R/UqBNhikbdcU2dwbWssBb7HXHI4iNWXLqFr2TLEisy5KueMmGdZWp eG9JJ+LGr6YqzedgZZ/0WJAvG4+PmtmN+HKQqbm91HAxBz/tv69THeKg5nK2 dEMZB1teb55JHepC/4PcgJ9biM40pHReChC9XjcskizvQs5uT3HfXC4+5MVk lCzgIlfpje2ezSTvy5d5a24luW3vpmRdPg358AMXTtoQ3l/Lmr89iIddVUmr X5iTe9rmzrjPv3zkRF2PeKDOxRf5+R6u5XycW7wvzHmsC1tCZqon23fj3bwp t5ikLqxppgYMvncj+UmD4DalLmTz0685hfXApzukZ3EKB1oFx4zSZXuJz55q +NvHxgJG0oBwWi+KNaJY7hJsjBnwTrXO6APzuuLNTM1OnNAu2LbTog+mGY5q 2eR+XmzE/GN5ug8vNt6w6DVgonpGyZuTwX1QtPuoJG1A5j+xj5q2Dn1Ie243 tsmQARGDiK7PEn3YK/jdyj+2HdpNk0vb7/TiZJqOo0xZK6gk0xBVoV7cij6u ZyrSgtxPJpnt5j24O6BbdyCyCVfvv7NyzezGlg4Xk5FTjTDNkZjgfOBD5XKg jFhMA5YFiz99pMpHfZDzpcLaeiQ2+Qacc+Dh9Isv04uX1mN/9U3Gl2iST5cN nViaU4fo+m/FEWVczBlNcDe2q4NXZHFcxPsuxLZo3+esrMOxwnlC7xW7sG2R VpjMqjo8PyksbOXEweXhYAsz+zr0bxTwmfGQDU7xMruWvDrIdHhMv53uhPud i3NmqNWjiikq+2t7JzKiZkvIf66HYoa7W3kWC+ywaxtdPzdgSQYz7YkcC0ub Z7cHqTdhxz0yED1g4oC88sq0u82g/jx/L7OLiYyNT06pWbViccyGfeVCTLza u7XFWb8dDj93WszvIXObhZXRcU0GxAMnS+VbyNw14Vh2fy+Fw4GZO5jEp0U+ 3U/4G8fEXfNoztQXChcED2tfolmoCpdKM1tB7lmNf8PEtNjYGR7p40xy+o44 icizFzmYkt1uVt7DRL7zZZ1fVBd0BQ7PaiO5a/kz2Wh7KRpPtgbcSxlnQS7N dOwayVHV9dLb3bI6cVJpZuoiF+JLfx9ftNhJ9On39L2/ejeWUT3TD6bYKI58 tEGrsxslkm1icS85oNM2K+1y6AHcnF5ORXRhZGPQoqsVPQhtoHzKnLiwvNM7 5verB4X3b5TakTyc1hqsJDu/F8eOqRzS0eDhgY1t5JapHuw+KtNvRPQxHvQr S6+6B/Piloeai3eDNea/scK5B151Rh/iJXvAcxa1+MYkPl1Mfy+WJHxv+ahb srgb64dEvmTM64OUy5l6ByM+Qtb/vvjidx/Oa0/r5Wwnc4Scg+J7734E1Al0 fFEnc/9Sv23ZVD8e3asOFB/vgtSb5NXJKwbQpMQQuvyAA+PHWzel+AxgN8/t bIgJG6iJZN65O4BvG3Tmt3WzsD7qg3v7ywEofhdP7PMmebny7tLnFQNgRaY+ u0bmiRUeE7YJmQM4Ep3k/9+qDliqtHSsDxjAcz1l7ZJXrbAQSc57qT0AyXKV SGW/ZjS+nm6QYfYDu6IeX7NoRPoFT0rJhZw3fIXn/YP1kBe8S/WU90Ff0H0j P+s1Tl64LmxD9K4mZHS9dnktDpSnJVe49IC6v09RbLAa8aK2f47LdSPYZmXz N04V0GkhdoPk0e9hJxYXzqxCu9gpP7U8GgmXkgJXfK/EG8Nlaq1XuahYeW7C S70SK1ocN5Wf6UICT3JbUE4Fqt5B6Jk3B0Kx9RoKfhUwv+bw9vtRcm/vljRp O1cBi9yyM5sDOyFm4mRX21qB0z0TyT+vsnDs/nFDcZdKdAWzpxaXMZHddHhr sv4rzDV7k3j4G4UrPc0F57WqsDm9eArEd9J0+u86DVYhKvbjsi/XGdhoyThw tKIaWWsjDsTOYGBT1d+HzlU1cFNQFArMaYdLr/j6306vYRZU1xcb24YE16M/ VljWI8KxLWBfTisSq6sPjyY3Isvn/bOUGa2oO6v8sWRlC9aJNe8cT2pB0dOv rvlL21HnuUdP9EALFgg8Flr/jIENuQGXwxxboPA7Ui07hIkLvNWy8xJaYOb0 6BnboxNrWf7abr9aMKUu5vfRg4OjJktrBM62In7R2ztLVnDRuN7np4hSGw74 XY4VeEeDWnpO5VddG5hjr0sZ+/jwUb1+WjusHX4bt5+zKu9GeM0jF+v9HXj7 VP93BeF19eMt/8YoM0CZCnfc39uHzYt0y69mMsDRcflvJvpRnuDOFl1N5sCe 5Mmq+n4EOe5idjZTcFG/1ZqFATD3zXUtOk/mdo5qTFPhAJy+lf1LG7FgG/PN /7zkIKxliiU/SZHcdtwwyNBhEBfF9m460tyJ6s5t27wjB1ET3W2wLYqNE3oa v+dlD6Ko3MNQw5KDBQfWCO8sGcR8rpj3SwWSB+9LRLqXDWKPxQ7D80RHSzTp 2aWPByGRcCngC4MLoTrTbbeSB9H6ffDj0SIapZP/zD7jM4hjXQpe777x4Ghi dCldZRC5hbZZi/S7kTAZYy1ZPwBrUe2H2pd74Ciu4j9qOYAt7FGX16xeSJd9 tURDPzZ4Fvi5ifdjgC4226reD3cRn1MbCvrx0fHIwcMTvbBa777gqtkA3h/a vmw8sAeL5snpafQOoEi4nR9O89Gh92fOEdNBDMn/N/jwFJn7P2+40JQ7CFG7 Q4WbhWjcl1E/M19gCJ0alns3xnRhvMW3f2TbEIZ8F2j+N4cDbm1o/fSpIbgN 9785HNKJiu1WaxalDJH7x/3bazI/DtkyGvTvDsH40V7FDj8K5+NF5lQnDOGe vYxv36cO5LMs2nQChhA8nmhUU9AGly8SVWt3DmHGqJm5eEwLvrDP2fWJDUFm bd6s6ZAmHN96yymhdhAFrnWhugkNuFQTPijgNYjOyeKoV6/rIM54MLF29iDk yxv47f++huHSixrBSQNoPHxboS6lBunJHwwPywygdCfHQWtDNRITFU3TE/th tP5DVtrfV0hI5mlMzemH13z3OZfYFUg90tqUNNaLpwLPru/4+hJuqR+d77/u wWZT9k+X3S8QcXJ6IjiV5JWQx+j/UIrR+4foNT5k/tog4/e0pgScvi8GocY8 ouuIJV0dz+FYNuNihRIN/dP7ntwWfw7fDkOtT7O4GPvoVVUY8gw/RR4ZPv/C gWFSmTvkniFOen60+xs2BMqve37vK8bzIqmk6LJOrKmet0S4oxhCD7P2aN9m YZZtmsKL8WKcnQ7rlE8kfN+jVqRu+QxSrldEGm9Q+OIaMvv8wDM8dnFUcygg +gkPm0M/eg7vKe/z10o6kJrlIrk5twTqAbr1r3XasWut95Jbb0uReXWr9N3m VrxukS9Od3sBnyLL7XJowUS35YHQW+VIepAiwRxpwlLdF7dCjF/h+MPJLV/L GyFeyZt5f101MsPNTG/VNGBa2uJzoGgtTHWX7Zzxox75nHztm5p1OBmnsM9j Tz14giLhNWkNiL3iFK9O1+GBgmTrXvtmiGm5LWqKqMPMWO1jxd5tePwuRrvP sQ5v3MLEjT0ZINFHasW+OgjkfQgM38yE9Q/BC8EBdThh+P1nuX4nUlY0TnOe 1yHk++2R00S34VSq0U65epRlvT5ldoaLy49F/EtD6nE2y9lEV5uHeVrx1j8n 6rEn4a+46xAfLRPsRxUXG/Du2tp5rknkPlfWXNSg1Ig9klXPW9f3Yb5UcWU3 qxErudHu+h798Gvwv9txowlLMpfmtKkO4Hhe2Mhp32a86syTE+0m96idXG+p fQtmS59Q3XhxEKeOSLYE7GtFzo6caYFFQ3iWXeeR5t6G+tFNG93ShyBtJrly QWQ7bKOyxVsXDMOzYq0z9bIDEY/2/ho7PQxZY2ubPjL3jow/raxvGcasHYzd g5oUVpQUTSWIjeDKQ6fBFlEm7sjbWhaZjOBvoMop1d9M9P2nIpJ2ZASKjZV+ 5ST/jMWpp3qeHIHdqVbNjST//VMcc9CSrAcuilqjK8GBjvLJmyE7R9AtnBQv t7ILL/8e9xVfOII+udeyqg5ciNR8VprDGEZYNCPVNZ7kqkUT5TvJ+VKbxxyN kvhgrJMsM2wcQsqXLWLW63vwqzzaUWrJEGymZTl/B3vx7NoCD6sDg5BRu3Or aHs/Qq/avVK+NADu+4ffF8kOIORo2ERrcj9WCK09sWZgAAV3WO0vlfrQL/Ep PPXWILZlZjbXjncjvluKZyI1BFudtQX7nfjYP1xy+3fwEPLnnomRqaBx7t9O UQ3eEBR1C2s/SHChwRGT0VUZhqPTnR22Bzk4XL1a/ITjMHhJQ/n+jzqx65+6 w+bBw8hOL1n2Y4IJCUWGV2D4MNQGr1gLmVEYfMPfE3VqGMs5L7SK2R3wficT vfDIMHL7NdXKg9vxUEHoTpzNMPxWGdTN0mrD/wF8uybN "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.39874999999999994`, 0.2749999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.41874999999999996`, 0.29499999999999993`}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.29999999999999993`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVsf297EL9hK72DuWqLGiY4sVDWI09l7QKPZuYu8dkHjRKLHFWBCF 2PWxoiJKkQ6K9F6k2LC8edd6PvusdVx5eb335lfzF+uz9szh+c6ZsmfP7FNn 4mybKQVNTEymFjMx+b9/Vy3/0MJ8fbhhwu21hjGWbqrXdbtAt6FPhMsUvP5q g5Wn8HDzZeXPnv9VmPoj+zwNv9H9ltSHqQ9TH6Z+4dOvg22meEt9mPow9WHP uAJPR0d7qO9MzWbM6/VEjZ7lUsfU10s4OXtc8tyfAoUpb3G1sm3nYSFSHqY8 TPkCsxtMLWz7VMrDlIcpn7Kr6rl4yygpD1MepvzQGbW/fHg3RsrDlIcpb+jZ yO3MoHgpD2NvUrNFS8fgRLHD2B1etnVdMj5FRe9vt2barGDDs0W/lGo5aa+y MgwcnLP8sTDvBz66ebRlm05Xhamf2rJQyvYrvlIfpj5MfZj3Cbc9vfnX4qXt 1a3osknDHgWqTf6Nfmp8JlQYu9Me84RakWFih7HP7GsRl5gZKezyfv+L4auj hc2CD8/pYhYnvMDtREYdhwRl9cXeLldW+n1if7b5rF3RGsnCfSddTEs+kqpq u5W9v8/llthpX+z0Z9qL/gyjH6Y87UF5ffvQn9EPY6f/Yoex01+xw9jpnzD9 D6a/0V4wdvobTH+jveB9hd85OG19oiZvn7Jr0ak4dX1HyAKbi56qQ7f5O9T1 ZLVi54wfRozbbqhSJ3VNk6HHhO02fBzWPv2xKnR4dzuvctdU+qmXj84WTBX7 of0bmpqY+AvTfvx/+hNM+6EHO6xv33OWhpk+zTOE3/t0bj4mKU19uc05pMfS UIOF64mhFnPmKIfT/s22TQgUzn1stjKwn5+w6/P1R7pM9hJmvMBz673s79v2 lrCtt3f0XTMPYcaTWZODVzLGXZb+BKO/3aLd1xoO+l04MvzUpYtzDVK/5dvk 0M1D7kl9mPJ3aseOPOp1R9j5yYvhdhEPRC/tjT6Y3w/z+2H+H0x7M36Z/+CO Mbe7DTwcrM6HHz+66NQz4V1h39mfdn4u9Rnv1Icp37tPuF+tyCh5/4x/5kv4 7QDbx4aEx6ra20SfxMx44cdTZ5YZ9VWiqjA4tmjklN/UoarLStXvkybtw/oI s97BrF/0D/Qz/mH6B8x8AKOH8crz6R+0B+OX8eZWO9q6sG2s6Ge8Mv7WPckY 9GhpkrQH4wF7yUXbf4vdFCDti53nY6d9hm94b+W0NV30eW40pK60iuuKHpj+ ADMeul+u3adImyfq6pt95Q9Eh8l4zDl+fKRFXpjMb5drDChWoXfYJ+tzwQHN neZujlUTo0yXPxny5JP189zwhF5lXycpr0kNriwZc1fmp4cPtw5MO+Qh4/u5 T8IE+7lPDK4nbAOb//F7+jZwK9t/nadwl5M9Fl3bc1z424M1TwbN81Bw3f6u xXvv9RIeFB0/ZtfyQOEZka9eLfz4RI30LDF/uG+cClh+cWHRefdUylcL7EzC k9XbUz3Xrr7qocpnFo+zi09TG4OGT+9y0Vl53Ig3uz48Q624ueH2km7BXcus CzmXPmOLcNjQlPHz7/8iHBC++/FqxwvC3RadOj6m2TVhxyGTY/zT7gp7ucz1 7XbpvvCBCMPsc8V9hTut7T11up2f8IKdj2YtrxYoXLbdt5NbrwpSlp1Sx1Ys GK62Lb/0o11egNj79gj/vpdFmHBs4oSJebvD1f0Fx+8u8wtTFw82qzS4mWY3 z02cXqprpPDTR+1bRQ9+rlb1H1/D0SVUFb3RqH1UQqQ6Zz5myxznUFVlVEbS tfda+TdD8tqkNIoW7vNr1zOeYdHK4+zstGl1QtTDvrX9LYpq9knNC7r7uMUK n131dYuTk+KEHxU1be3RMUG4+kir0ztTE5R/hc5nF74PEH/i9aDAmqOX+anc IReqLtmdoHpt973VcK6f+jXnlOfRn7T67Z+XObv3VpLw+jZDLBYsTBb+5VKl Vj8MSBXOKDny5PAPqWqXGj22pJWX+CO3ttttrFvxppqW+2Tnxmmp4p9c3ubU 1DI6TXWYNqWGi9kN8VfaOi4vvLRm3HX8EZ4v85mRZT4zMvMZrF8v6d/4G4xn yjN+Yb1/YthqsyztvPb+mO92bKryc9nbIdr8Z7Qz38F6f6WFQ45Hhx1aezP/ wXp/JfHsFdOFZqnqg2e12XW8HUTPnHrzS/64L0BFRpk27Tk8Ts1b12jAWIcH atT5E/NKD9Te13epqUcio04IHxyy8rHpw0dqQ5HQRUPctfGfesPVrI9DqHCr vAeZ0zoHqc0prWx2v45RlfottT36/SP1w8wtgVldk9T83WddjwQfk/mG5+Pv wKwX+Ou0P/46jD8Ao1/KG9sP3tR65MylxcNl/v/Qak7gDdNw9XhR0MePh4NU Xd+0Rg2LhKuAMhNsZq4JVgXHbHx6/nKY+OuWX0/NzTocpnqNK+l1ZVG4WtV2 ZkbQ6DA17OqwIvPfRUh/DHB+M21gQLrwrmfr5g7emCHM/Iw+1o9BJa8mT48J NbS6t7WvYahL14oll3pWL6PxouZnq055FSDs1jyni/vDQGHah+eV/8Zi9zt3 P7GHDEqa6RrpKzzveY9VGTsfCCc/v39/a4eHwqxnMO3N80/V6zjb3PS22NvV c2+4ZvxN4fSHvZ2bTDwnHO1t02yi++/CtIf4f8b3v7fs7lMPi7lr48FlWJxp xA1pP/H3jPbctEn+i3+9LTy96LyofR+9VOz09Ycsp4dLf/vR9UzpfpuDhY+f yu3r01FbHzdEqxkX3B8LBz17+Ox2RW29rOTbze7Sb1eF2/ZcYnba64ow/gDc wSK+dMzg32V8xG8zPxNie0sYPfRHfv+R0QPjBr7Sxscz24DUcX/4TU677Dt5 F3so9d0K1TobOslP2LXylGG9csKU3aW2ft6lAuT59F+et6zMqJhKpqHCHtWj kxv/HqESL50PqpYWpnrXnqwaVg+V+vizlB90yzYqstoz4a8TFucsiXmuylc7 eLf3gVDxfxumhW4qkxGimts6fpxeIEqeh39L/d2drsz+1kmbD8/c+HH+mJkx ym2fVfmWHsHiD2edmfs8YnGIst1eJdbq5yhVpVjWlY3hQapBdrVqsyfEqIp7 Btaw6PTHuG17MKxQoRj5f6xnPD+vwq30DrW09bGq8/qs7rlxUh5/GvuUtPuz ah6PF147f9vchj8mqi3mFe+VXuIn/nfh+nUnr6nlq2Z9cN+wekaitj4Z1zfq +3j6pBb4Ulsv06wcMs2KpUh51jfsHV2Cvo+/lKLNzw2dZ2fsTFO9t17LXT9Y 68/4q3D5/aM6fNlL68/4rzDrq8zHRn8cHvmkYNTYEK2/4n/CiQ3Lee3fp/U/ /Fd4XmrZGg3mBYk/f35axIzLvo/Ff2d/8vqc5a4Q30Tl0u/R85o2e2R+uLC1 U8fF1VYJ1491qWf2UFtv/L2DAqe2CVM272ZdS7n0VL19XrbLiUaBak2dLiYu CbHKdtuq5Ii7/urYCisTV/d4VfJJjqnLci+1fccax5zSyWpmzzsnQwbdUXsm jptU6XCKOpBxM++mwUX2y2O//3Lbq2x3FX7pdapfXpqyrT68/cxdJ9WIvuX2 l/olXfa/Xz9JapU8+KKB9odpb5j5Aab+/Vre0VWa7ZL6MPVh6sMNz2b0jPR8 KvuLLy8YBjXMixb22bMxL6J8gvCsBd8cd2iaIlxiSOWh/XtkCAfuzVhlcvqF cP1NQ4LDL2YLz198ofmFO7nCt6ZWX2fv+0q43LCVYbMi3giP/zqmVb/EPOEz bftsrJ/zXvhjvZNPP378KIwe/Cv0wOiB0QOjB0YPjB4YPTB6YPTA6IHRA6MH Rg/+IXpg9MDogdEDowdGD4weGD0wemD0wOiB0QOjB/8VPTB6YPTA6IHRA6MH Rg+MHhg9MHpg9MDogdHD/IQeGD0wemD0wOiB0QOjB0YPjB4YPTB6YPTo4+/s H9AHow9GH4w+GH0w+mD0weiD0QejD0YfjD4YfTD6WD/QB6MPRh+MPhh9MPpg 9MHog9EHow9GH4w+GH368w/2c+iF0QujF0YvjF4YvTB6YfTC6IXRC6MXRi+M Xhi9MP4H+yH0w+iH0S/xa6N+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6Pf4 tk5Q7Y6Zoh9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRP/3mkS8c fngh+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj95i0aDy1yK0v0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPqfOJ90XFw0R/TD6IfR D6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+jcVaxmQ1D9X9MPoh9EPox9G P4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6uy44V2H0zpeiH0Y/jH4Y/TD6YfTD 6IfRD6MfRj+Mfhj9MPph9MPoh4kXEy+BiXfAxC9oD5j4pv4+APEG2hMmPirx c2O8u3SJmNwR4ZnCdxZP/cq7VpbwktikBV0nZwu3GDzLw+14jnDMtczsumm5 wnp9+Nsw/iq/V3/+zvoAM1/CzB8w4wmmf3HeyPkh8QbOC6PvjXrdP+O5xINh 9qOrjtU7WqBYnNhh7ObrUwZfNE8SO4z96iT3D3bt0sQOY2/+y7XA8r9mih3G vmJXHYv0c1lih7F7r1y/5sH1HLHD2KvNTgo54vVS7DD2GWMHtlwV9FrsMPaL A8+uHxX9Vuww9uJdvohol/5O7DD27yyWti7/9oPYYf1+H3vwza1pha6Eq8Xf ODZ+UC5Y3gfxS8rDlLcqeKihfb0I6d/Eb5hfYM53S2Wv2lbcN0POD9qH75/u NvqUxFdg4mFzake0rtPNXXjHwtWzzDseMhC/pzxMfIZ4PHYYO/8fRg/n0XBU 432/nnYOlf781n1sOft6MaIXf5L7JfrzfZ5PfcYf44HxR3tL/NbY3jC/h/sM jGfmH+YnmPN17iMw3pl/mJ9gzuu5H4MezuOZ7+kvWwzbD3fIjZL2Yv7H3vjA UOuMkvFiZz3A7rmi5vuj9ZPFzvqAffKouN9GW6aLnfUCe4Gfh500bfpC7Kwf 2K23XS4Q91W22FlPsLssNx9+o3uu2FlfsKfPWOO6b+ArsbPeYO86Mr7w4hFv xM76g31bv/6jbKbkiZ31CHtEB9ezzee+FzvrE/ZmjcsXN/3ho9jpH8S3FroM cb7sHyn9k/dH/6N/wtQnnkR9fX9iv09/1fcf9o/0X/oL8XN9PPb/9/7Gf/Z9 jS0HF114f+KpxLcntVi76au0aOECpQZ8lVo4QfhgSvnoQzVShLt4he0Y0TZD 2O5bv5rFj70QvtrzqwUxZ7OFS7b5h9f1a7nCI+u+r+384JXwiXITFi8MfCP8 2uTuI+uoPOG+mY3rW6S9F94buW1ZsTcf/+n7IZxv+F8Or+P5xs0Ae3dbszPg 7jGD/j4G/ZXzXf39i/zuV+jvT3zu/YfPvb+AHst25Ssfds0Ujo50Dyhb/IVw 5qE9w77I1tjJqn3FtVZZwsfKVHXa2D5b2OrS5SG5uzQeuWJ/4JvlOcImDbs6 TAvUuGxSrS9m3sgVPm9/0z+06kth/DeY9UN/v0F/n0F/X0F/H4Hxqffv/D3q DN+xU7sPhL8n92eM/h6Mvwfj7+V3v0F/vpTffQXmK/oX/h+Mvyf3vYz+HYw/ J/dHjP4bjL8G45/B+GMw/heMvwXjX/1H3XfQn5dNPVCk9tCrzirlopmN/3Dt voP4U8b3VXpDRM8VG34XPvBtgZ98h+8z/G+/D3Hrlq3vjWht/q+garUeGfX8 T8/3P6p3FSubxoj9bM2EZ2XfxAr/bH7n5qPa2nrxzTvXrffKJgl3fr/Vbl0H bf1IC1vU4cfGacKh4UOqd7bW1hPP0QfnVXPJFLZ8Wir2tbu2vlS0KvQg92SW 8DbvuZ0CDNp6M7nztFp+F3KEw64E7jrzUFt/zjV9uPDU7ZfCTU92TNgSrK1H Bau19N7o81p4ifPPXabGaOuTtalD3Unhb4Xvby7g2D1DW69cXr9c0jXhnXCl pVOSa+Rp61dmwkifqtkfhK/P+WmPWQFtPdPfj8jvvsO/en8hv/sFu36ofj9y 4xXV2WdC2aN/vLe2Jp0r1Cuh3Y/Df+5wsccO53ep+Z5nM16JBzA+NzTJ8gie orFT6pN2EdYvpDzxAlnfnBbm9Duhzd9WI75bNGhPlpQnniDrXcE3ba6ma/VN PMN+vxGaLeWJN8j6N3vF/BZtND7femxua/NcKU88AvvoiI/nXBZrPONgVNuj E1/K/ojxx35HxpP13uud32vjj/2HjKeW47/PqhgnzP5DxlOpxlV+s9DGG/sP eGtqxp1xvbTxxv4DdowL71DCVRtv7D/g2AC1M/6SNt7Yf8j9ojuH427e1cYb +w94jXsxy5/9tPHG/kPuVxz63n7JU228sf+Aa9v7JA5J0sYb+w+5b7i6jWqZ q4039h//7P2Qf/d9D/rD85XWr6aX1M5b2D/QH2DeP8z7hnm/MO8T5v3BvC+Y 9wPzPmDaH6a9YdoXxj+G0ae/PwKjD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9 MP4293/Zf8HohynP/WDKw5SHKc/9YcrDlIfxF9hPsh+F2Y/C7Ecl/kh+jXH/ SX2Y+jD1YeqzX6U+TH2Y+jD18e+pD1Mfpj5MfcY39WHqw9SHqc9+mvow9WHq w9RnPqE+TH2Y+jD12a9TH6Y+TH2Y+uzvqQ9TH6Y+TH32S9SHqQ9TH6Y++ynq w9SHKc9+i/IwdvZf7Pckvsn5g/E+vuQjGlnyD3V27v/KeYXOzn1fmPvi7Ef1 +XKS32n8PTDjU5/fib/DfgF/hv0I/grPYz5lPtD/XuYXmPkDZn7g9+vzg/l9 tAcs+VvG+/Gsj/p8PJNF2+o7fqedh+jz1SiPPjn/MLLkFxrbQ/ILjYyd9sMO Y+f38v/wR2HihTDtQX+Cmd/Zj0u83cgSbycf1tif5LzMyMQTySdkP8/zYJ7H /h47jJ39PnYYO/t/7DB24gGyPzYyduID2GHsxAuww9iJH2CHsRNPwA5jJ76A HcZOvAE7rH8fjF/eB8z7IF8TJl8Tpv/K+YYuH1POx4z+PPFqmPMkxgv1OZ+A +X0w/Zl4CP9P7tMbn0/8G+Y8ivrsD6kv9+mN5Yl/w+SHUp/9I/Xl/ryxPPmh MOdDkm9rjGdKvi334Y3lOR+FyW+mPvtP6sv9eGN54vMw+aaSf2+Mj0r+OPfh jeU5j4XJp6Y++1nqy/14Y/lP8qmN5w3UJz5FfZjynC/BnA/S//T+nz5fm/lO zj+MduZvfXnJHzMy/hasz4+V/DAj49/Akg9mZPwPWO9PsJ6RD33M4FV41O8a s76zHmBnfDDeGT+ch9Le+B/kT0e1LDi1yxZtfdWvt/gf5A877V9/9MzjF/L/ 9esx/gj5yANMTePqVMiW/8f45/fp79Pz/8n3toy/vX6RheYf8f/ID39h0+du 4pwsWT9Z33k++f7UZz7i9/F7+P/Y0av/veS/w/w/12/6uVlc9f7E/yD+SH+D eV8w+z2Y/R7Mfg9mvwez34PZ78Hs92D2ezD7PZj9Hsx+D2a/B7Pfg826+9aw ex/6yX6L+Dfjfey52EK1dmj+suvpNZUdc7X37Xo3vWPfDtl/eb60bbv92399 81itObJuUnYTd4P5Egs79xBflXrA+X2VOr8ZSu+0sPht1h/rUZuYUnblF/7L +dFVpsSM+3g+WBXdW2trWjdDvvnSh1bNa3vYPFQtOD/Od72LpzIr1/7cXetQ Vb3SoCIL7mv5dn+WT31/Zd3RI+aHKafgpb+U6KHZ/yy/Or986vzyp/PLj/5X 86H/1fxmuIRDzTMTAtKFR8SPb9plY4Za7Dh2Qttd52Q+GlbvUWfbEfdl/jlx KfJ6wbUBMl/Tv61mF3u4cJy2/1rRImHDjh8Oib9FPDO/fOgZCSOq+vcLUX+W H43/fWT6/C5Hmnnlmy+dX360Ph86v/zn/PKdYda3BT3qPbXff0PWE9YjL6cp l637vFArep3s0Kerr6wfrD8Wlvs8fZyz1Plr6c0a54V8sv6dznQ+HP84+5N8 6r1DPSZP+eKCwWvJo/s2pV8ox6g2oT9OfGi4ERVxvuOYLBUwsHyTIkWDDIEb zE/H7MtW1wc0ODG3wmN5Px5VKtl9c9VHzbJpUGampf91fb71vm/Daq+9ftDg Nn1b/bxxmarazlL3skbcNvQacqfYhwsvVNu8ySer+vgZtuSmr1r5IUtdTVlY Yf6QMMMFu1oHH36Vo8IaDTCUGqDtBwt/aGZVpnOA7Fd77Wkdu+bKH/u+eiXt i3ueyTc/++K6mseu5T75pH/h3yw5YF0ucvyTT/aX/678bfsPswY6bw77ZP+P vVeEk2H3el9tv/Rsz/TxaY9V7/kdf63ax91Af2X90H8/oIhN5k+VL5wSfXWs QxYeq3jsE73kx/N7ed6WQyXSm0+/opU/XHnl1MvXhd/uqP4Pl233hNfs2GNd OPau+mfzodHP/68x6VCLhh2D5XnDJsXZLCgVIpzT/fTHpg0ihC93nxEeYR0u zH5a7sfUbr3JwTZS7P12dQqaY/5c+B8rD1hYNY0WXv5xRbUGN6KErWOHdYmr Gyz77w9f9qk6IyZQZa4cVcT+tZvyrzt1+Jo7QerI5p+rVF50QTml3OgZ7hms ok1Trj16oO3P+T0P0p/PMfGOkecn2BVc26hdrHD7sVNDC/aIF676rNe98OA4 YfbvPG/ao+M1L8QkiH39QK+WzwYmCgdatthwaUSy8IWrJRfYZyQJs9/neUVO zfGalZci9noW9hGOU1KF51d/2XrO3HThofsCavcrpjHxAZ5n8/X+zvammWIf X+T0naNdNS7+/tlsh14vtP5l+Th+ZRmNiSfwPJe2JvazvsgSu1tO2eqr+2s8 PLWHp511tnBfi9ZdRlXXmPgDz8usNzmxb50csZvELpg7epjGx8OP1eg/Old4 b3Unh3aNNCZewfO6VrjftX7zl2If9CTkXvuJGr/0MpvfwPaVcLzZ26RybTQm vsHzdhS02POxw2uxH7hlaV7BTuPel+0emCx4I9zu7ZhuaV01Jh7C8yJe7EwJ 6/VW7KlnXRakL9XY8Tf/WhEr84TXJd10ut9fY+InPM8iKrv7eet3Yrf8pfDD B+s1jt3bbtGFre+FA0IapB0epjHxFp63wve7vbtHfxD7ll22dY7u1rj1Jmdv +58+Cte/v7nnyokaf+73FZrurOxQoUuoxHPq7m5Sae7uEOU66ejyE4dvq0qt brmsLBGmKt+KMPcI9s73+yH/277XkF/+/Od+v+Fzv9fwud9j+Ku/p/BXfy+B 8hL/MdoPL32a7NUjXTmc2PTKPGKCIc5l2dpnRTNViHlsrs997bzwP/t7Cz+O 9fUYcNte4ivUn1Hm/kEfi0w1fshp35QmIYYcn8nN+yRp8ZzHaQUdwyrnqPpP e57YeTFI4jnfVthweUwzf3WsguFhgo+TITYhcoJdVqgKPdl41Ydy3upymXCb b+NdDaHnO5U0XMhUu0bOsy7z3T1DwclWfk1KZKka4UdqGBKeGMY4WJn/MjBb 9apwpVjaoTAV3d7PcaONn8RbmV/8qxVu33CZv8RjiG9gn1B9Skm3x/6q+ZXf F0w6v9rwW55dqULJfuIfj/5gtswm6Lphw5leI89PeqFa38hb/9UyH0P61Wu9 h7lmqdG1Dz4reSBALex9/ljvIr+ojBY3Z83/QqvP+Loc7B3cyPe0ej2z2cyF xQMlfsP7Ib5C++vjLfx+7PrzdPoL8RWY+ApMfAUmvgITX4GJr8DEV2DiKzDx FZj4Ckx8BSa+AqOH/SF6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdEDo4f9LXpg 9MDogdEDowdGD4weGD0wemD0wOiB0aP/vrD+PJf9LXb9eS77W8rDlIeJN3C/ lvow9WHqw9TnPjH1YerD1IfZr+nPA+V7vsb9Ciz5csb9BvsH7Pj/MP47jP8t 35Mz+s8w/i+M/wrjf8L4jzD+H4z/BvN+9Xrwr9Ar3ys26oPRB6MPRp98b82o D0YfjD4YfRIPMOqD0QejD0af/vydeBf9ASZeQPyL/gMTX+B+IP1Nn5/I/A3r zyf187e+/fXzOXbmC5j5Ama+gJkvYOYLmPkCZr6AmS9g5guY+UL/+/XzH+2P Hhg9MHpg9MDogdEDowdGD4weGD0wevTf3yZeSv9h/qO/MN/RP5jPOB/ivIfz F853OK/BPyLfje83429Rn/Mjzqs4L+I8Cv+L+Bv+B++H80X8D/TJfVrj/+P3 4S8RX8PO/ycexXyJfwLjj5HPCHN+R319viD/j/aAyd+CyceDqc95VojrizcV CsSKnfw8eNH2S8e8qiQKk58HV5y5esjqVqnC5OfBI47WN6lRP1OY/Dz4uOOm Ya9aZgmTnwe/Xpt6yr9zjjD5eXDv+daFXPu8FCY/D3aa6DFi85DXwuTnwbGD q7hNHvdWmPw8uG33FUW7ff9OmPw8eG2r56OrL/4gTH6e/n0Qj6W9YdoXpj1h 2g+mvWDaB6Y9YPTD6IXRB6MHRo/+vJzxwHhn/me8yH1yY3nGH8x4pj7rA/Xl frmxPOMVHmUxqNejNzlSn/vl1Jf75tzniC4zueh+jcv+w2+t6qrdN8e/YXyw vjB+0M/8DDNeYOZrmPECM3/DjBeY+RxmvMDM7zDjBWa+hxkvMPM/zHiBWQ9g xgvM+gAzXmDWC5jxArN+6PuT5JcZWfLLjCz5ZUbGn8X/wh9jPYWZH7m/JPeD jPcfmG+ZX3NKeiUeX++vliXecq5uvkTyv7kPdaTmVPtHS30/sevvK7F+8Pvw f2HWf+YHnq/Pl/37fsH/+37B594n+J+Wz5tffu7n3m/Q30/I7/6B/n6BPv/3 X82v1Z+/55dvqz+fzy//Vn9+/7n5uIxX5g/9eWZ+9wH05/36833G75+dt+rv K+jzxfI9f9fn9+ZzHq/P/83vfD6//ODPPa/P7zw4v/N8/fmHPn/urz7P1+ff /dn5Pfl6n5zf/zfPf/7c/OP87g/8u8/7/z6///v8/u/z+7/P7/9d5/f5ncfn 932Bv78n8B/7PQHWH/ne3n+x/Hj9+fff+fB/bT78X31+r79Pqv++Q37n+/I9 oJOjLq/LnW/4r3a+r79/EFbWJtnOJ0zFOg0rkbhbi5f82fn//wFF/X7G "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl1dwlkUUhndJIEBCCaSQQCKhBmkBlVAlIIRgxaBYabESEQQFEUGIEL2x j92x9zZ2Z2wzemMfey/jhb2NZSwzltH39TwZuXjm23///XbPec+750/q2ta2 rumWUirJKRXoeZhoFHWiTawUPcXRYpoYIY4QU8UwUSkGijLRQ2ib5P2mi5Gi tyhizvsvE0tFoSjmHX8/Q4xibgJ7VoiDxIFijNhd9BH9xU6xQywS54hO0SrG 8b3fLxelYgDv1ztPYu3Pd4sY9yHW7sR0kmhnj0ZydQ41okpUiwbGQ8RasUYM EhOJvQqdRpD7HqJWDBWTeK+WuGaQe+Z8x3EC8/WcV4HeS9GsgHWOuxfvFfN5 JWOvO556jCKHItYeJ0ZTp/ViHflZy7HotlDMF5PRqxz9xjMegNaVxNfOuIzP 1egwmb27PteQ/zo0GIJ+1by/FzrVEt9ocuxGLZz7kWKJGM5n61xI/iNZX0ze nlslTkzhhRJ07dK8jr23Eavj2H+XtbPQpJ+Ym8Kjzm82WliHphT+sx790cDj fVJ4wnkvSOED5zYvhYece3MKTzjfvVN43XtsEIeKPcljOrkcIKawj2Nv3EWb qbvoMQ1NNoszeL8DfX3WFnFmCp/tK1r4zh6xz3qibx06Oa6ZKe7LRLSoQIM5 KTwxAS0GEtfhxNWAFlWc0ZL+vwvz0MHa22815LyANc5jP3LxfV9MLQ5OcYe7 +oLH9ulOvuvL2lbGpYxdr03UuIQcl5Cn59x3XHvfZ/uykro1o1sLNXBsG8Vy YrNmy9DNzxWMl/O5kM8r0di9bRVnea6NeIr5XEI9j6Kep4tj2MM96mRi7Dq7 gL3s83rq4TtZRg7trG/n/UHUbTVrff6xnLuaNZ6fQj2cr+/Idmq1mHq0Up+N xOL1G3jHtVxHfbeKUzjXz7WMV5Cb8+pg/W48O9D81BR9qoaaOI5q4t1EzDuI xXX2fZ1Nre17+999wf1wM3P2vf0/ipy852B03Ups7sNbWLuNswcT23rinE98 NcRg//Ullh2MncfZKbzv+U5i60TDLj/7XfvY9/5ccQi5dLLGZ57GudeLd9H+ ZlGQQ481aDuYMztYv4h4rE8frf2UMwdo/Bn1vFH4srsm7mfuR75bH4jnU/TC B5xrjh5gP7ZRuxbNLcwR90ViXg5tfhA/prhjl4jmHHfoc/EF+X0lvk7RS14U FTn6yMuuc45e06jnxynuzTPi6RRe66f5Z1P0pgvE3By+vlZ8h4avWIMcPeh7 MSmHxs7j/hS5/Cx+SvF30EzNf4iGTRpfp+dZ4lX7JUfPsh5zcmjic77lrFma +wjNnxNvEdut4hPiH6E1D6XoixM1fjLFfbE2b6bQ5z4xJIcfR+v5SIp+Wabx ndRnnMaPp+hPzvulFLkP0vieFP34UjE5xx34Rfyaoi9fLnrn6Bcz9Hwfj9kL 03P44QXXP4cPLnOMOe7MlBx/N7r3TtOzNIfPr2Iv73Ml33neXpuaw29jvV8O H78uxuTorW843hx9f2SOmrlej5K/c3+M9/1uXz1vS/G79DCaNlCT8/Dq3XjL vuqm+ZvwbHmO3JzXe+KWFL1/fI6YHM+wHD6wB84XlTl6yl3UwPo35IjbMV+B LtbkbXF1ir+h3hHXpPiNHarvh+e4n3V6PpiiF95LzVyvLznPZ83O4T977x9x Q4rfk16a65mjP92OFtbhjhT3yneqPodf7dXaHHfJ98i+vhBv26cX49Wn8OJ/ v7057o/9/AQ+s8eK9OyRo49217Mwx9+Svuuvpbjv36S4h/ZhVY773CT+Fn+l +H/C9RnI3fld/Jbif4s/xJ8pfvP+Bf1P7RA= "]], Polygon[CompressedData[" 1:eJwt1FVMkFEUwPF7MbAwp05xEgIiKoqANUEUAyxm59RhMgOHIhg45wvGg93O wO7u7gfn5ma7mQ86dXa3/7NzHn479+t7zzn3C8vM7jE+wDk3GMWxFhfQAjPw BCW8cyOIkXIP43nEuk7PfcI39Ec4fuAPBiEC9bj/CDEOHVCd453EhmiNKhxv I9ZHEorgOZdJHIb1+GvzG4J9qM31tsRGuIx76IJ8rMFi9EYubuIsuiIN1xHG 8xOIBViFBWiPdNzHA5tLBbzGG3tfL6zGIntXJ8vVOnS2nF1CgNe55yGK8SFi Y7TDd7xDHwzALSxHEFrhETajGzKwyc5l2Bqb874VxPLojpYcr7S59sRLvEIb y/F7vJU12zef44XlXnIewvP7LZepOIrblosmeIbS3DOKGI0t8i2vc41BWcbL iKORhUocV/Y6F5ljOcZBXucqa3xoz2TZGst4/Ua0veOU5IpzHYkJUhfGZ4iJ mIU5+ImBkgurdRr3FFqN5sravPau1CNd3uW1doXWSxsw1HpKem0jcbjTnvvi tKell/uhIte32lqTsQs1OJdCjMUvpz0fYXMK5tpe4jiMQR2OwxHMOBvVGO8g NnD6jmSOkxDCeBIOItJrLaRntqOq12/LMyekrl73UjwOS+689pbssRjGx+1d ObiBY5jotMcf46r1muQ/1WvNpdYzJXrd87LXpzjN/R2nvS41uIh/TvfiZPy2 nEuuZc9/tRpJbeSf8AGz0Qx9ne7F82jqdE8utBpLbSUHTxHI8UhilM1d1pRj a4hjfNp6Q+otvf3R3i09Hsv1k5Yb6aE9VhOpxVgcQKjXWsg/YL7lQNYuNSrm 9Z+Sbz3hvO7pPOuZeI6XWG6moqTXczKWOSd4XYPMfRpqef3nFFhP3LUcSu7k n5HI9aV273RcsznLXGUPn3P6T8u1nEkuPzvtTclpKa/vkGdlj16R815rKzWu yXi3016Vf+Z/AVmiOw== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncV9MWxjtrpxJRUTIrKSmkuELGjI2U0iApKVzJEBXSoEG9lSbNk/c2 uERJlEQkZEyUkCGJmxtCIlOsr/Wcz88f61377L3OXs/ae6+1n/N7q3bp2fIm K1GixJP+J7m+0PVAl6uzEiW6u+7m0szbg9TP+A0uTbyvhcuN3m7q+lKXwd6+ 1+VilxEuw12au4x0KXK51GWoyxCXxi73uQzjfZdb/f2uLte63CbdzWWcj411 aeMy2WWSy5XgE8YeLhO8Pd6lrctol1EuLV1uysKms8stLtfIxxgfu9/lcpee Gu/icrM0dhN97AGX9i69hKW7y70ut7vc4dLH5QaXf7v0dbs+LidYjF3ncr1L b2nselvgvdOlXxa+8XmPNBjvUkxgv1sauxF67if/3eVjoNYLjIOFC59DpME4 SOO8119+WO8THU9f10Ndhss3PgZonHmHZWED5vuksXvW5VGXx1yKhIs4RskH c4yRb9ZsrDQYR2sc7PdLYzdO42CfKN/4nCQNxroWeCe4PCDs2M3RM+9Nli1r NlX4RrrMlD9wTVMfeKdLg2uK3uOdWbIF+3/+4XO2+sB7t+O5y6Wey50WNsUu +3n7SJcjXOYKF3E85TLPZb7Lw8KB/0ekZ7g8JBxg/680dgs0Thz1fd4HXS9y eTyLdrH2ZKawPyY9Wz4naW3mS+NjidYOjEs1hv9l0vh/UuPMsVh+WI+nNU4c K4QP/09onHmXa5z4npHO4xit/ejvsdzjcgqFyGWH933nslpzgfElabCsUsxg eVEau5c1zhq/qhjA+Jo0WF7ROLGukcZuo95n/H1pxt9UbJz3dS7Pu7zg8o40 WK5xzCtdr3V5XX6I9V2Ng/E9xYCPNzTOvOs1TqwbpLF7O4s58feBsBDTNmEF 48eaC4z/cgxvuf7EZZNiBstH0th9moUNOLcoHuL4XBq8mzWO/8+ksduhuZnj Q2HBx5fCTXxfCRd4/y+N7f80Du6t8kPc2zUO3lMt5v/W5QuNM+/XGieOb6SJ u5/F2c/3I8+DH4Sb+HbJH/P9JA3enRon7h+lsftZ4+D9VfEQx2/S4N2tcfbh F2nsSlv4YI4yFhrbBhYx7XHJLM719y5mocH7p+JmjX+XH+JOFuPgLWURDz7+ 0DjrUdJinDj2stDYfae9Yj/3tsAC3ioWWMFYzsIf851mgZG6tY9F/MS9r4XG bn/ZgLeiRTzEcYA0eMtbjJPHFZTPmWLdrL0pa4EFH5UtcBPfwcIF3kOksT1I 4+A+UH6I+1CNg/d0C+zU20oaZ97DNE4ch0uXU23GnpiOkgY7dwL3GHdYdcWG z2Okmftoi/gZoyZST6g7NTROTLUs1pqYjpMmppoaJ6ZjpbErEmeB94wSN4Fz HK8YwH6VBf/qlAUXg2fBb+BjzV03dqktP6wNXAyeBb+Bi8G/4D91NM68cDH4 F7wHLgZfg//A6+B38Dy4EvwLzgGPgVPALTpb8LAbs8ABV4G7wMXgTfAeOBR8 jffA0VN24IBjwEVyzsdzzsOwu0bjN2tsgPYFPgjXg/8gcB64DfwLjtVXOOAp 8JWch2HHmvaSv5xj3SU//bX33TVfL+HoJ7ucq/E8V3u+RHMNFD7eg+cMki3n qUjvwyuGZwV+Njgr8KqcZ6GHai7ux1HCPVjz9tN8I4R3lHzkHOJhxTNc8+Yc a7Ts4BFT5QMuM0Fzw2XGCvcYvZNzr4nyB1+YLP9T9TxcfZOyAs/jfb4b+CZo mhU4Fr5zXvKobGerDw4Ff3pQvuEwMzTXLD2DFV5RLH/ztA85p5mnmObIbqLG 5yj+GcIB7of0zjStGTzmZAtetVC2C7SmM4V3QVbgZLwPVu6cRfIHB8n50WKN 9dKaDhSOJbKjZpdULQMHPIQ6Qu2n1v4mn/COFVmBPy0XjhV6BgvcZllW4EOr hIl78XnhWKVnOAV3Onc8nIt7dGVW4DTrtB7LNS9YV2te+uASr8kfHGBNVuBY r8rfOvnIedtq4YWnwEO6WnAmuAg59LLsntH461qLVzQGp+CO3ZYVeMnmrMDV Nup9OMYGvbNRz+CGS7ybFfjQJmGFe3wg7Jv0XE33FvV9jcbfV0xb5DvnauuF 92PNyzMcY2tW4FVb5HurnlfpmXHi547+RFjhFV8K+zY9r1Wsn8rnl/KR81fW IOfrS7MC9/pK78ADdmiO7/Wcc6mv5ZvxbxXbD7IDLzzix6zAn3Ypnp2yy/nT P/kHZxq7Urp/wcE9/4v8wTV+lz94wp6swLF+VXw/yx+4SohP4C+JZ+Tca7fi ycQzcl7FM++XFm9gX7fLTyndudzB4CgnToDvfcQnct7DMz7gIWU0b0WdDzCV F2/IuQ7PmxTndsW2v3gGeJmbuXKOWNoK/KminqsIXxlxhipax8riFjk3Oli1 40C9X1X+K2gPKmmsrO76QxTPYXrO+RDPJ1l8V4/XmdutPaiUfM28v4l8wIfg PuW9f5vri+Svmvyfa8Hj2duKsq1mBQ5UywpcqroVOFBNxVlLz2CvITtw19b7 F7icpRo9S5i5Expa/O7C/Xmmxe8a3G/EBn+C75xvMVZX8dfRvMzHtzu1/EHN Te2c7nqay60uzSw4UmvvP8fiW4u8Gaq1ob+u5sfvGRZ89AhhaShsjSx4Nufh dpdb9A5951mcl/rCBB7W8hz5aqD1ZW2xbSB7/DTSnPz+donL5Vlo+GGrLPYJ 3tjS21PUhq+drDXF5yDtJ/Ynab3qyo554G7E2ljz80wbvsZ6nG1Rz3hmreBu A7R+1PrLLPjnFd7fwoJntsnCjjZ8sLUF722Xxe+HLWTPb3qt1I8d88AZ6YMz t83imTb8bqT80c8zc8LpOljw0iu9fYUFp22fxRhtuCS/NzLWIYvfCVvLpp0F 56Sf3xvbaR7eoR+OiTA/XJffD/HXMYvfOZsp3o4WfJh+fs/k+SrWzYJPw6XZ n6u0X1Mt9gye3Un98P8Z6uuhdeZOfU72nWXDfrD23CHXyoY+8IGB3y3Zt2vz fvosviWa6JlvCrgcvwVfRrxq85swPxx3Uz9916vdTO/A/ZiPefiW4JnvCubu YdG+VLY3qU1fD9kTa0+tw206S89p/4t0Bsgf8og8g8/wW9JCxY093Ibc47vg 728B172Ek7N/h0W+zbRY0946++Qnc1NX+K5gjmKLGgFnmm3BWamZtKlHOX9F wwH/fk97Wk/2jM/UnPTTd7fmAStzw6GmKZ6VOtdFOs/F6idG4hugNSFH+d7L 85Lvui7q51uxlfKS/taqCeQ8Z62x3iWvB6q/lWoINSWfe7BsqI3sB7/XsRd8 W+Z5Td4213nn3DeV8G2Z5zrtNqonQ+V/mOzpH6L+1rJnfvJ+uObHV1fFzj5z N3KH1NDesEeLtIbThZNaQR1pKeEbO68NtKkt/G+BnCQfR8m+nWoD35zXyZ7v YWoGmhrRXrWLNuNtZNNetYF3Oyjn+B7uqHpCHWkr4Zs5rx+08xo1TvONlz39 Y9XfQfbMSU6jJ2r+DmozTi0cqb0CA3GS+0Xq51xxpqZpragrf9cc3RfUlE6q S1PU7qx+bMkZcqeHziTzrFTOsv63yg6bG1UDJwsLfTPVD4Zi7WF97eNC5RP5 xV2PJt/Il7rqH688oh/bPpqzt+Yo1jxgvln4n3e9x6IeHOB85iuL8873N9+N fEce5P3bLc5yXW+vscjjLt5+2OKe/NzlFbXreP/LFrWorLf3TVHXjnO92qKW 5L838fvTPJdyKWpRI9cbLO7zM729zuKOP93ba01cwNvvWvCFrt5eYHGHv+9y YYq6ttXlNfV/49Iyxf7z/71WKfb6KW+3TnG2H/d2kxR5vZhYU+QdfQeqHw7Y NEW+tnBdJUWesmaNU6zbMpd2Kc7kEs5cijxFH6I2/g8Thm/d5vIUeXmq6zct eMTXnNMUtWSpyxVJ+eX6CGHeQU6kyLk5LpbivnjR27VS7PHRrr+3yLOzvL3Z gj+d4e1PLXhVA29/bHEH8s/PvVPcfX/6c5bi7jrX9WcWnOsxl+cs6u0jrlfo 7D3q+lmdsS+0r+wptm/IvqTPUyrF3fa6y0cWuXa+922x4HDHe/tDC7640OWi FHcfZ7B5inO4V4qYifcX17stuMORKdaFNTk8xfqytlW9/Z1FLanp7Z0W+XeM t3+wqBMHp1h31vzQFOeGM1MmBW4w75fiTHOef3LZZcFH5gsrOP9wvdKCI8x1 KZ10v7v+ROv8gkuFFPd6SrHWrPMTOlucq31SvM+77P9ROgPvKDfIi/XKB3Kh foo1ZT2fcVllUcPf0tniXNVzfXKKmnSJ64op7ri3lWPkV0fXNVLUT9bp2BRr 1cn11Sm4AvlRWTmy0Z8vSMH337PIYfKXXP/AIt9fssh/2q9a1BFqyAmuT0zB Xagrmyz62f/aKc7AImEFJ7lVTfnFudhfZ4NcpxaQ75zxhinOOd+CfJNRazjj 7AHrf0rSOc4iD05LkQvUMOoadexXcjHFHcvZPzvF+eecnpfirD7N2UlxH3GO rkxxluirrn7yr32KHFyu9WVtOY9tU5xJviMvTsFH/gIjeyHS "]], Polygon[CompressedData[" 1:eJwtlNdOlUEUhX9m2xJ77yh2o0JQLCg5KHalyEFERMCDGjQWNJaEhMSH8BG8 UCyx9x6jiYm9RaPxxvYC9ha/5Z6LL2uv2Wfmn5m95+Q0taS3hyRJSqEDdLYk 6QLbGFyRlSS/0RuwGZqhG7mu5jlNXEN8EV2Lr0Xfwi/YCMWwkvw5tJZ8FToB fxltwNejWfgEyvFbtA7xJbQeX4euxl9A6/A16Cr8eX0XX40GvJnPrWCsHf0B TbAVv4jcB+JK4t1oKf4UWo1fjt6HWeZ7nQFH4RMshAI4DB9hAeTDVXgfc8dZ YxlzT+qcxEvRJfgTaBV+MXoF3sW5+xkrID8NpuN3wV94GXxvuuM0ubM6N7+t RDvhO5qf7X9NiM+gNfgK9DGkGJunc8BDmIOfi86EcuLTujd+X6Yz6ttwDb8B P4x4uHlt9M1D6FdoFPh76FTzvWrOOOLx5rVTjQ6gf2ATlOG/obdgB2Rgovma Wktjb9QbjO0LfgfqlZ/B96KeGUVutHkvqeav0fX4Nu0DehL3Mr/bNPnvwb+Z iTXPmPeAat8a5x6Jd98Wv30s1k576I7vYd7L6pF1xPmQwu+F68HfQHM84xf4 rP6Nd6TeaOD3e2KPjCEea967ehMjiXPMe1c9m0c8GfLwO+EOTMEXBR/TWrnm Oa1ZQvwMLYT56kv8C3S26gxF+Eex1uqBQfjB5r2hmj/VOL4krlFM/CT2isaG 4Iea95p6qpD4QXwL6iHdxd1496l49pvQEu9gEvnbaG7wM/TGH4y10W+e617M 96499yPub/729GYGEA807029yT7Efc3fkt7Qq1jT1viNbOIR5m9f/yl6q43m tdKb/QeFc4CG "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm4T1UU/XH3SUQJDSpFUSoUaZRKiULj1zxIg1JklsxJRVQazKJCDy89 QwNlKIWSiiakQTImkYgU1VrWeh9/rG/vc+4+557fPWuvvd+rdFeba1sXzeVy C4vkchlss8jlSqdcrjcGDeFfBsyAfy7su7D3ASuBFsBDwCrgfqAzsA54AHgY 2Ai0AroCPwLvAbOBOUAf4Angd6AN0AP4A2gL9AR2AO2BR4C/gA6ZzvM30BF4 FPge+ASYBWwCHgS6AZuB1kB3oK/f9RhwJc5/BbAc/vt+/5NAf/uM3QPsBvoB i4G5jlkCfOjY+cA8YABQCvuVBIbCvwp2Dexq4BL4RYEV8AcDzwLPAUNsnweK 4/mBwAvwhwODHDvClrFN8LwxsBT+KGCYY0fbMvZQ3hcwEn552COBsfBfAV70 ujG2XHcYnpcDXoL/KvCyYycC4zyX5zmuy99vrgrWVQYmw38dmOB1BbaMnQpM 8vPV/q78/tM8x9gK2OMYYDz8t4ApXncp5uqGYsm9i0LPyTFyrYU5Rq6Rcxsy cY2cI9+6AC3NB/KulfnQzfwgh8ndTpm4191c2Z6Jd+QfeUg+kpfkYS+gnXnU 11whJ8lNcpQcnO3n5PhM/15ylZwldyvhvRWB17y+v3lVB3ML/G2KhDhHnqUQ 58izXIhzH2TiAbn0VCZeLDefrjDXyCtyYbS58aLvkXdMrg1xzCDzZ1i2j3Mc k8v0h/jZKO9RyLlRfv9g71HI6cHZPp4VcqnA9/2y+TPOz/I8Jk/zvGac10zw s3yPyZF8r2kQ4ge/F/k7xmfidy3wmknm0RS/e5rHlc2pAj8jp97MxLW3HDPB a7gHeTfdMdQ/cvEj+GfBngl8DP+zTDrCe2yEuctDd78okyb1MWabD59m0j7e /+e+zwF+/p5j+vv+uSe1dmEmvS2GvQ/YjwfzvfYCn4u/YbfXk6P1fMbpjpvn ZzzXJz7XHJ+1j3/Hpz7bfz4f152Mfb7I9vFysc9WDfOn7sfRJd6fzxk/1/jM 8fx9X2b6PrTf2Gfs145dlonf5Da1+lvYZzLxjfPkGufI+ac9pk8+UyeXeZ7f o6Hv9btMecF9qMkcDwTKhHSTmklNWZntq2s/ZdIH6ssqP//ZfmdbjqlHv2TS oC62HFOPqHusBf1s19qnTq3z3uvtP2y73vu39F6MJadWmxt9vS/3oa5tdCx1 ilrW2nO/+jzUu02O/c1+N1uOu3rNZsdusU9N/DOTJvbyfhsdv9Xv6mG71fGF usmzbLPf03ab49t5z7Z+zxafZ7vf19PffqW/7c5M+kudpYZSc9vb7vI8Nfaf TDrb0eMOnqPPPoF1OFxnT4HNQhzY5b16+z07/Xsz127G/JupJ+A3rxoa0yfX mW8DbPfY7+cx74p59kOm/Ga+Mn+ZK+wZDjH3eCbqMjk8xP5Q2+L2S9hnbPXQ mD7nDnIMUdL6PsL+SNtS9g+2z9gaoTH90s4F9gMjPR7hb73D9zba84xhPSpm LdpgDpJvda3Pb/sOWWuZU1xTzjVpjP2xtofZP9w+Y08Pjelz7gjHsBZUcA09 1j77B9aR8vaPss/4mqExfc4d7Zjx3os1Jd8+9xzrvXjGPPuMrRV6H/067n/e yLSmoutTgf3JtpXsH2+fsWeExvQ5d4JjqJ3UUuorf9NxjuF7qvhdJ9pnfO3Q mD7nTnLMWnOUHGQvcbL7icnei2dkX1HNus2cqG4ukUc1zAeeq7b3J09PM3/K hu6G98I7qelvy+9ay9+HNYf1kXWHv+MM/xbOsXa+47PwO7Iec+5sz58X4kwn c4dj1kBys6zfW9/zjDnHe/Kd53vPN3xHHBf2VeTlVFvWS9aFC+2Tq7QcF9ZR 1n7WfdZQ+jM8V8+/i/F1vfZizzOGmsEaM9BrL/bZWHM4zzrEb1nG35N7NvRa 5k0D70ktWGFtWOBn0zxX1Pe13XlJvboEf6v1N7fmArcm9Qh3k0tJ9fRO5leS Hh4B2ylU83+E/T5Uow7HfJkk7SwJe2CSJn6H58tCNW8p7JchnW6G5zNDtfxQ +KWSNHUNn4fq2YewD/oeF8O2D/Ud/FvpauDxTL0r6z1r9HKP+Q0aOYY1cAHQ NtS/cMz1rIXsB7h2b0/A75mUDwOA+klcXuE9uf8av5vvZb/AvoG9xS+wa0P1 uyjW/RuqW4Nhvwj1RkNhyyf1NPfBb5TUb8yG3zjpLLN43qS9q8NWS8q5qjxX Ul6ezXswD86D/1hI7+rCfyKkWafA7x6qRcXgZ0k1ku+s5PdeBvuDf8tm2I2h Wr0Ndkuoxu+B3RWq03/Bbg/V3RawTZK+SevQPfGOPmYehP62vgjP+4W0bxCw MNQvNiCnQho00/fB/qQ25h8J1RXeWyOfjXfDv1V45ht4H6E+50beYaj/eRZ2 kvPlZp491G88A5vvXL6eXAv1Bkt8Jp5nBmyXUA/Zhvntc3UNPeP8bThbQaj3 fDv07Xi2gfBfC+X+PNhrQj33bbC7Q33L7bBFkvqTO+AflNR7NIV/QFIO3gR/ Q6gO3gq7M9QX3Yjnd4X66Vtg/wj1PEcmcYu8mhziFnn1AOzEUF+81N+Nfe49 iH/BudaS/E+qGX2BC5I0uAdwapKudwRWhmrC47B1kjR7BO851HP3gT0nSVt7 AbWS6gDf2cT39XyIH+TGk7D1knS9N3BmUn1oBdRI6m8qJuUA+V8Z/pyQ/r0K Oy2kdW/yNwFfwb8O9p2Qno+FnRrSwOOT8oo5NR72uqQ6wbvK831Ngb0npPlc 19xr+Z57/S5yZ5z5U5N3GOqf2K/x7xz2bMyDE5wLx8JWSOpxmE+bnFMnYm56 SNt5n8ck3Wm3kOZSb4/GXOdQj0gtPMR6eD3shFC9uibp3Dwz9Wx+SNM+5/2H /k/GHN0RytNF5Eioj6QGfxvSYerctda6daFcYh5Rw9aHdIwa/HNIh38NcZT8 PDiJx+Qw9b6cNf+hUG1gXeC9VUm6u7JJ/xNkn3x/6FvwO/weylXmKfVma0hz 2oX0mr9rVSjnme/UBGov9YI15OtQHSGvWUvI7Ttgb0+q83+Gcob5MiyUS/zm TZPiGMMaVcJ1qnhSTjIfXw/lPPP9v1A+M5eXh3SEGrK3TvrumifpAjXh71AO M3+pu8na2yFUw1i/IkkXqAnU139CGsu6kUuqHXfD3pukg1+FuE6eX4m54aG/ Rf4HmIf0fA== "]], Polygon[CompressedData[" 1:eJwtlXmwl1MYx3/ueU6mhZBwi3IlFTctN5VEJHfC2K5lMMOMVLbUiPa6EhFa jD+a7Ps2Y/kjW4WSJWkZVEhRsqQhpMmefL7zPX98fs/3ec/5vee8z3me59QM GdUwsqpSqTRCwHx+XoY1qVJZAEvR7bIHl+I/jO2HfxC2OzwO9fhHYXvBBHgJ VjH3bfgD/Sf8gp4MBzK3FdyC/gfWM/Y5jEVvgbMYuxb/Y3QXbGutlT13GjzK s5Px22F7wvNwIX5f7AeMn499AT5BL4bH0KcyfgS2Dm6H/vjV2DbQKXtNrbUX 1GgurOe/s2ARz0bBIvQ6eFDfyfi+2GPhLhiIXxNe41/YDTuYOwWGoS9hfAD2 VfwKek94bCcMRV/Ms/7Y+fjDsZfiD8S+rhhh/w7HTu/MjAU0ondBM3RTuFmx hpnMPQ2/Y/hM5kJb/P8Y64x+AHrgN8N2hfvgaPwkqxigq7L3pjX2Q+8PfyWf 2WXoi6AfcwdBS8UCpibPOR19VTh2n8EY9CE8W4leAjPwB+AfFj7DjuhrsHMY 2wBn4l+NPzv5DNrgj8ffg94NzfFbZH+r1lzI2MRwrq2F9owdnr32TFjGWAN8 iN4ID6H7MH4Aths8Aidm50IPeA7uD79LObgAfXn2t47Bfw17dnastOdp2N6K UfidK7UWvMnYl/A7ehdMSq6BY7LPQLEP5XB2TimXmodjey92YXKMG/DPy86N TuVsZ4W1zrgW/1yoReeSi3djO4Rz8hz8xdh3tDb2NjieZ63DNXxBds2r1vtg T8quMdVWWzghO0aKzcHQN7sHqPZbwXHZMVUsW4b3cl14rdpy1ndi24fP/Ar8 J0ot1GOH4w+D6fhnKA7oJdh38ZvoP/jdYO9wD+quXC+xalpif2vZi86gTr2l 7GWfUkv3hHuDaqoL/pQS+6pSm3Owy5JrVGuNCK+tNV+Eodm1r56yqdSUauk7 9RvGngnHrjcMwX+q1O7gcK+5o8SyusR+eomlzkC1Pxv7fnIPWAefwubknvh0 eefgssf39C3hXH5DOYb+Cr5NjuFG9E1lb3p2vWIJy5Nzagv6axiH3grL0TeE 37UiuVZWhHNXNbMd/TP8iJ6omkDfCG8l1/Ro9Efh/+qZanUerE6u2Wr2PjZc +7oTvkBvCPd67UG52Tm79ypH12LXlFpTDJQLXbNzWzmxA/treC/b4Tf0zrBW jf2kvcKE5D03lpxRrqjnTS45oLNXzzsl+46oKzk6KPtO61VqSLW8WjFOrump JceUW7oDxoV7lHqTemwH9JHZvUw97FD0pPDdqZj8gN4mkvf4ZKmJ+pIDz4Zz SrmkO21V+E7TXaY9bEV/D+OT3/EK+srs2tEd9Y1yIXy2mtNEtZN9V+iO+B/R 3/iL "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl3m0jlUUxj/qPW/znGaFKEOleS6NGpcypVVrNQ8Ily7hJlNFXbmmq4EU yRQRUprThEg0SCKhgUqlorme39rPt7p/PGvv95zznWHvZw9fres7Ne9YvVAo jKxWKGwjeXgqFC4QRmWFwj+Sfws7CIW8UKgm7Ch9sOb6CH2FB4Te/s40n4Sd tWaIvvsJ/YUKr+V7V83vJuyuNdtJ5sIu0reRrC7sJH2Q1t3lffdgrbCHxj/X 9wve71CN1RH21/ghkgcL+0pvJNlQqCm9gWR94SDph0seJhwofajvdbdQW2O1 hP00Xk+yrnCA9J25C3eV/rHWPSPcK6wW5mZhgx2wh7BrircN8d3Ye6i/99Tc R/79Xt5rpu1R4X26+S787iKtuVC4R3qpbcbarp7vZ1sPrmJ7ZNFmyHLhaWG6 cEcWe7En979fuFPoJcwRPq0yhrzPc+X+7ikMFAYIPSzZp8xrmVsjvOj31sTe wj46r4+wp/QZGq8huXce9vhB2CRsK3wtfCNUEz7IghfcfaRQS/qDksuysPE0 yREeHy75snCw9Jckf5H8WUjCFmGrkKdYW9v7bJTcIFQXvhO+h3eeP9Rrhks2 1z3fln6+9DopzmSubop7zZC8TGu+k/6Ix4mXOt5rhMfqebyx1g70Xpv1fQg2 kPyJbyETfhd+IyaEL4X1xJzwqbBC+EvrV0muJialfyY8Z3+vEp43D/5krbC9 8Im+Z9lH++KTPDi4P3zHH9IPhO9CDekrzQl8/4E5BDfXEHvCP3CMfYUnpH8I t4U/zIuZ5ga8mO1zl2l+Ke+T3kqypfm93Ov53XLiQvjTfHzW3FvhfdhvrebX Cf+aD9McE0uFqY6V94WnhNuzuF97obvv0dOc7ev5UsdTV79xN/OPfbnrO8LY LO60QBgnPC7cIrSFb8LPwq1ZxG43x1qzFDE8wzHXo0q8dBA6OtaQnRxryBLf 8TavI647C12EFinGi/HXw2v7+R28oY/X8rYxwsPmJj5bKIzPIodOt1/h1ruS T2bB07rmP7x8RRgmvJZFnMF5Yo04I689KjzkMxrod/XN83dsp/a22Xi/Z6HP 4V21HZPEyF1+N++cJ1R6z3LbhXnqwVL7lTqxzP4mdyyWnJhFfcL3U7KInyWS k7PIBe9JTjKHymx7/EE+Ji+SCxZJTrC9Kv3eh+Gq4uKLLOw0wT5b7P1K/Lbx flcHv5E11CF4TCyRB+ExnP4wC152t43GeQ9ie77nkGM939Hnwo8ajufZPqvM HChyiHft7biaZc4Uz1li23TxeT3NoSIXy8ybvuZRiW3fy77p7e8unu/tcydW 8d9kzxMH8ItYgJfTPPZ6FnzCvq9mwTG4BXfG2PZwCm6NzoKPj9gXlZ6HG+TO H7PgaS3nY/Z5wxxiD2o/NQm+LvI9ue9+znHkTWo8eXOu7z3FNgBwrdSY6neU 2O+89T2/F/2tLPICOYHegv6AHuUg9ysv+t5j/Db6FXI3+Rpe0ytxxljJZuLb eumtJfvr+5IUb3/Ndrha489q7Cfpc+gRXE++FdZ5XQeNnax1R0m2kWyfwvaD JI/Lo7/bqO+19sHX9g3n9NLcc96/o+SpWn+05Ff22XCfsc76MylqIXWwk+Tp Wn9sirxOn1OMM/ofYm2guTnAv+d88kCJfnOmfnt8ivyC34YY2K/Cfp1nW1bY xvRA1Alii/hu5dwL75EXOw9vES6V3i6LGGzm8Wt15mMp3rNJaE5P4N+2cp3C z0vMEWpXC+f0y1LsSZ/QWfIs7XWiz2/mOyA5D/1u6dOEDVnUbDhYbszxO67R HqNT+OYBc2SQ3znXYyNT9FUzzLs3s6hJ+GC9bQTfF5uzLf0W7jBF8krbYb5k mfBrFjnlE/vnuBQ+LPYOy+2vvXS3Sr+H/ugq90hXSg5NEQcnpPAh+a6N5KQU cfGWZOsUdz0mBaeW228r7Dv8udpvJe+2TZF7T4OH6f9+Z6Vthm0+s33OgHtV 4nmVbXVSCp+Qi08hLhz/l2v/iSm43wTuOW7Pxo+O28YpYuhj8/0rc7aLxs7J Y6/uwhF59KC3C+flcddzWeMchG3etn0WUHOFreY+fqbOfpnFW4eZ+2vM/VKt bZrH23pivxQ+7wo387j3HfAwj/OI0Y3em/02eE/i7xvHILFOviCO3zBv5pk7 2KOyyjc68fe5Y26t78qe3YivPOxF7BA31C1ipqVjhFpDvFCD6DHIPfQJoL7z O3n4DPsO8FZ821TysBQ9Cb0EPe94n/Obz6Iu87+BGkmPQW9IDSbHnmbOwNmV 5i3f+Ace0e839f7UE3r9EbbZeSneSA4/23wgtzcxT+AQ/iduT5ANBktvmKK+ nGKOsQ7/wEdqEP8zinFJv08toV+id6YPoJeEF8RLqzxqAPn/Vs8R48dqrNx2 2erxdpa/WP/VOr+jJ+L/OvWMHMZ/Auoc9St3bhuVIu/g25rmLvy7SWM355ET scdm+/3+FHUFHg1LEf9wmzvVsz05f4vvM0BjV+TBzduk3yj98hS5mVwJJxm7 weNjUuRlYu56yadS5NoW5lV3xwd8h5s/2H/4jnzMueQlzmznmJhgH9ADTPL7 O5srcIg+6EjzuNh/4Ztij7bAXC72Z4zT1/B/gd6G/7i9nZP7Sk5NEW/3kevy 4Bq1fVyKuLpXcnaKe0+xn+g7yM2LnJ+v0/qZKfhOf0DfSx9CDujhPIBf6SFK HRvEQAffcZPfsThF3oEvk1P4DH/RjxCDj0k2Io9ZXyL5fooYY76BxxtaJ3Yv MN/R6XVPco6l16UGkNNZ28i/ZY48TL4nlsgZ5PuFKeoEnOd/aWPn2832K3x7 xTr+rdD8iXnsyzryM/0FtYSaQt9BD0yNYYx7UI+ob/TP1DbqGqDGUd/+su/n O47aOtb+A2+gqng= "]], Polygon[CompressedData[" 1:eJwtlncUj2UcxX/G+32sMkL2DsnMJkpZZRx0Op0TKkSoaO9xGtrrnJz2QihC VplJoiUj2htFRqGijPS53fePe+69z/v+3t8zvuOpO3z8oHFFC4XCFFAczI5C 4TmwJSsUdoJL0FkqFI6DN+IXwZXxJ8Bz8d/At4Mp6M1gJboxz2vAS/C3wk+A NegD4Ev01+BI5t/cgn4f/In+C6xB3wxeRq8G5fnWpfg56Arwu6AJYzXhpYy9 AzfEV4cX45fDdfBV4DfxS+Ea+MrwAvwquCm+FrwMvxiugq8Iz8O/DdfDV4Xf wq+AG+CrwYvwS+Bq+ErwfPwyuBb+RHghfir8DPgJ/TO4H92C5/Xg+uBb8CP4 l2evgF/QO0FRMA1fUnsNyuFn4Y/BxfBl4JnaI/gfUAK8ht+rvQMBXsUf0rdB KTADPx1+EKxEbweb0F+Aw+jJYB36U30TPQlMQ98HVmhu4G70s/l6+mpPwIXM pz+8j7ER6KfRn6EHwsfjKySf1WzGiqNLgOPxr+Mfgk/FN4Qbgeboe+G9PKsD TwTDGRuQx8w8+Lb8v/aAoskxqVjUniT8SK0h83/MAS+CrfhdYCb6At7pF/7m RjBYMZd5zZ+jh4APM+/J+egPwrE4GvyAHgo+ynxmU9Ctk+feCzwfPnOdtXKm Es+eyvdDOTIanMtYH3iCzhxuhz8F7g1eUJyC/TzrobgHLZNjpSd4KXwmOgut aQDPJuG3oXeDo+gRYEPmM/9b+wfWZ46RMrw/Ct6UOaYuy/dIe6OYGBvOeeW6 zly5qJxVriondfb3gF8zx8BC7Wf4LHQmHfj+fPxv6OY643zNWusO8Ci6Le80 Ca/5Y+0lGMOzg+Am9GrwXuac/wM9DKzL8phWnIdrgX6zTfGn76AL+l9wMfhE saZ5govA2sw5tQv8Hn42PXOs3hmem87oEfTc8F6u0hp1luFvT8VPyGO0Tn5G 3dFXozuCTvlctoMi+Zx2hHNauayxPfkc9N/F8rntDmvNUWs9oDjO13wwnOPK bY3tD+e4cjvL17ovrLXmZsk1TbWsNtwqOUYVmw1Af/wN8FmgOzgZ3xecGa6h qk0P5O+qRi3IY1Cxp5xU7D6JfiNzDLdJjmHFbmMwGQxMri2Kya3hPdTeHdMe h2uOas2hzLGzXnGa57Nit8DvS+cxXCS55qnWaaxcck1RLSkfjuWyyVoxrdwv hS8brgGlk2uoaqfGIrkGqfaohx0J10jVxpLwXeDG8N4tZ+wOuGJyL9OaN4Rr pGqj5qzasTm8FtUQ1YYt4bWqRqiWfAeOZq4p34drvmq9xvol9zD1Lp2JcvVw eC7K2bU613BujAWjeH9Y8l4NUg4ln6nOUj1sDDgvuTYrP3ujr0V3AV1BfXxP cFq4h/VK7mnqZXqnJv4M0C7cw6SvhNuGx6rju4I24R56enJPVS/VO1+Fa4By Xz39pOQ56L/Vk3sk91T10s6Kw+Qerd6sHKqtWAQdwj37HPR1+h/NJfzsKrh9 +J26yTmo3FOP1tquCX9ba+yW3JPVi/Wb9vjH4WagabgWPZZr1ST1oofzWFZP 6pN8h9HdpRs8FD8kudap5yl3rg8/Uw4NTn5Hz9Sv1Bsn5lpj6gWXh3uj6o16 0Yzw2aonNUpes9aqO1PH5DuW7lYttCb8OLiV5grOTr7z6K6jPeqEvyL8bkud YfKYtO40XZLvLLqrtA6f5fiw1pnOCvcg9R7V+M7JdyLdhfSfVZPnoP/+/84D RibHomr+f0OoVIs= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl02dbjQEYwPEnhGyyiyQje0t2KLz10ksfgK9BGVnZIzMpKitky96b7FWK BkL271znxe/63/d9nhfnXNdz4uctmDM/IgiCyyQQmiOJoj8ZNHGM5KV5pK7S UdqUZryyj9bVOkabE8VrewvN0pb6TJP0grbVXdpGd2u7iPB36KR7tKPmame9 ot00T7tqvnbXa9pTC7SHFmqc3tC+ekD76EHtpzc1UQ+Ffpse1gF6W4foMR2s x3Wo3tHhWqLD9ISO0E9axUc2MdNtNrNYad/Iac5wiruk+WyFbuABJ0l1W65P mWSezCCO2gdqsd5ihjlT13OfI0x3W6ZlTDT3JoFeFLnF63WN1f0ao/v0KtPM S7WSD1Swly7uS7Sc97wjh2j3xZqil/QJj5lgX6fj9a120PYks9Y+Tt9oa23F WNbY73GRF+zkOTt4RCmNPbc99C7qNm2k54Pwy5ktf9nKP87xkC2cZTNTPTeF dPNv/tDAL36yiG985wv1fGUhdXymmlpq+MHcIPz/+A8jnmnO "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{331, 330, 334, 777, 768, 769, 767, 771, 770, 676, 773, 774, 772, 776, 775, 677, 779, 780, 778, 782, 781, 678, 741, 838, 728, 766, 704, 764, 703, 765, 675, 333, 332, 331}], Line[CompressedData[" 1:eJwl08lTz2EAx/FvnA3ZIkqlsi/Z1ywxkrJkKxKyXMxw9Q/4B1xcu0mUvWyZ sfshazKkso29BVkbM17POLzn9XyeQ4fv7ym1bE/h7rgoimI60COKSo3LPK+R PaPoG0cwU5t0zi7hV2YwXRt11t7ALxzONBXrjF3ETqYyRetVa69jB4cxWWtV Y69hO5M4VKt12i5kG4cwUat0yl7JzxzMQVqhk/ZyfmICB6pAJ+x8fuQA9tcy Hbfz+IH92FdLdczO5Xv2YW8t0VH7oOKdL7FL3/VDFRrl/gp/6pd+65C2un/K qxrtfI1j+IzjeJ1jOUHjVaq37ipV5nyDr3VBh7XNXRNvaqJzjFncos16Zx/R dudbfKM6VWmHu+e8rcnOUzRJd+yLqtZUe5r+OHerRTvtZs5gPafzLmeylbN5 j7N4n3P4gtl8wLl8yHl8yQV8xPls4EK+4iI+Zg4buZhPwt9Xcng3SgnvSmnh 3Sk9vEtlhncb3nD4LcK3Dt85fNvwncPbUi/99d7b1Kx61ala5dqvfdqrXXH/ /z/+ATccZjs= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0TVSRFEQBdA3/BncLWdJULhDggzzB1sBS2A3xJCQ4pLg7u5wfhGcuq9u 8Kq6u2k43xKnQghZRqMQRlimOR3CEjkWiZmnPRNCHwP0s6BrZZU1VthgnTa2 2GaTXXaSP9jngD2OOKSDE0455pwzOrnkigtuuKaLO+655ZEHunnmhSfeeKWH Dz5555svevklmOdHFshUMqd3WmaIKKIwmVtfIkspppyyZCf6SllFBTVUM6iv k/XU0kgDQ/o5u55lhmmmmCRPTI4JsowzFv3f6Q9kIj00 "]], Line[CompressedData[" 1:eJwl0ccrB2Acx/FH+Dv4WYWLvffMSFmFm82Fu+y9RzmQvYWDVVL4J/xDXuXw 7vX9HJ7TE+kbbxuLCiFMqD8mhM3oEHa1rwMd61zXuteTnvWuD+V688lf7bnf 9aaO2BDu2M57dvKJu+pxD/FVN+qzb/moHXXbg3zRlXrtaz5oW132AJ/V6m5T vbbsWm6yjpes4QaruM5qXrCSayznKit4zjKusITLLOUZi7nEQi6yiKcs4ALz OM98njCXc8zmLHN4zCzOMIPTzOQR0znFVE4yjYds4QdTOMpk/jCJiWrWiN3E byYwokYN2w38YjzjYv//+A8ACTow "]], Line[CompressedData[" 1:eJwl0DlOgkEAhuExwTMIoiRWWoBcw8ZgfgoKKQwCBRpwxe0YLhhuYKFWGqOF SqK4IGjvchWfhOLJO19mqpkqNaL6SAghz3oshFeO+GSDAZt8cUx8NIRtHdOm JrSll+xxwz63tDmjxrx308xwb+d0RRc0TYYHe1ZXNauTpOjYi/qoB0w4l7Sg p7rLuPOOJvVE/9jim19+mHN3rRWtssyV3eCOJftQy3qhRT3XPB/0eaPHOxFd XnhijefY8B//AaxyLVE= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl08VuFUAYgNEp0BZ39+K6x92KLUqClSIt0gW0eHELL1D8EbCEBELQosXd neLu7nAmLE6++efOXdzM3JTM3LSchBBCEdmJIUyikKFJIRxhLoXM4yj5jEgO YYVuYD3DOckpTnCG0/EcGxnp/CbN1FU6WnfoQrYyzjyRCWwzt9MbepPrLOIW q6nqs8VaRZfoGoZYZ+tmlrKOLHvjmWy9lmrW1dlp3V6naAetQU12mTtqjnbS WtRmt7mz5moXrUNd9pi76lTtpvWoz15zd52mPbQBDSkw99Tp2ktTaMQ+c2+d oX20MU3Yb+6rM7WfNqUZB8ypOkv7a3NacNA8QGfrQG1JKw6ZB2meDtbWtOGw ua3O0WUUuPN8lpPHlvgW7FdypjLlqUiFeFf2y2o5SlGG0vH+7CdrSUqQRGK8 B/vFtDh/rRM0kGX9mz/84Bc/4zvhG9/5zFe+xHfCRz7xjg+8ZyxveMtLXvOK MTznBU94xtP4/njEY+7zkAdkUMQ9bnOXO4ziKte4xBUuk84FLnKW85yL753t 8Xt+YwbppLHS3gKOMZ/jDEv6/7/7B2HAdno= "]], Line[{1475, 1432, 1436, 1437, 1438, 1439, 1581, 1680, 1847, 1679, 1845, 1678, 1846, 1700, 1844, 1676, 1842, 1675, 1843, 1699, 1841, 1673, 1839, 1672, 1840, 1696, 1716, 1670, 1838, 1669, 1718, 1693, 1709, 1668, 1690, 1667, 1878, 1877, 1641, 1876, 1689, 1701, 1692, 1887, 1691, 1710, 1642, 1879, 1671, 1702, 1695, 1888, 1694, 1711, 1643, 1880, 1674, 1703, 1873, 1698, 1871, 1697, 1872, 1712, 1713, 1677, 1475}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c8le//xxMRKRJpiFJKJdpR8iIrUqREkllISVbRsIUkK6TMYxXySWXv eWzHsY95Bso4VimUfuf7u/65H8/Hfd33431d1+P9ul6vXeZ2urdXr1q1qo5t 1ar/PaV7Bc8eKpxAkVr8XqPgBQS4a1KUJyfwhUP0rLLoAuT4jLPuqE7i/YZi sobxTxhcC/wtGzcJiurVNbkffuDJ2n1mHxYmIWkYflzx3zwmLnde01GdQhoz zybl/jyyTSpfxYZPYZbc4RjImEOnfE1+AHUK7c5tu/RN58BYsOdfL8PE0PkB qht1Fns/rDEUe8qE9efrBv5Ws+ivShrMq2NCqvG+DufcDBjbuGzk/jHxGYQq h4QZ3OK6ft3pxDSUX1qEdujMYN0cbdXtu9NI9zMOXM8+g1RN6VCuxGlcbFC6 x35/GtsiWjcbdE1DnpizV7qXidzh/Q4dQ9PgfaUjzyxlgtSnufbS92n4KHCL EpOZmF/e0F49Nw1uRaOA/BdMjBtqN8n+mYZA26h85QPWfI2cpAN/p6HNvWr6 wH3W+zCyo8jKNP66Bg6G32VCNDZFfsO/aURkuaz7a82Evom8mB+LCRmq2dlW TKz6/zEDy/8fTGzR7nOWZ7HKpX0C228zsRjdNO7C4pAE2eZWCyZM6yjkWRY7 kBfM5MyYMK5Ang3bDKqn6MeSjJlwyVuKorN4IWz63HojJkwIghHvOGfwIOf8 lMI5JvyML+zUXTcDXmLQEX9J1vqUH53k4p+BbYl527cNTMSdsO4oFGTts+TP V6Y/p5DFFNofeXgGcgI6+86ZTMG0LVnrtNYMoowv8ok2TSJtvblDstUM/hQe +0I8M4nykKQvbV4zeLh57L1Q1gQ++DZuKIudgXNBjAdVfALzAy03K2pmMB7K uDmoN46ThsKzO6dY9RRvzS4L+g5VKvdu8qZZvNJKVBZv+AaqcEhOndwsWtKL nn3k+YaNT3ObfxnP4t+hL5cFtMfwnv56+rL3LBSrLK15okYhtDn0+KWvs5D7 5TSxJnYEYrYHau7RZ3Gl+vHA4HsG7LI+y3vzz6F582p30UI6aqxSPt86M4eB 39sLb5Fo0HihUES1mENucpeT5QQVtz94ONQFzOGOs87RSR4qrv1n9JqROQdC t948SXoYEdu43Mf65vDHU+bN154B0GIjj1mwz0Pt+ePwk1Z9cItR4g0Rn0eM sM/2Fu5eGOfMPU6SnQdX6ubs7IouDHE+Wt2lMo81Lc3GkSEdKJp3lLyrNo+5 xoDAKBcyDEKW7hbJz8NkI9N481MSvt0y/oN981ig7DcRO9OMjRLcTvFr/td3 FbfIpfXI7QrTKuyew5uFLmEHv1ooLb5DTuwcMoc6+Le/qQIz8vqLf/pz6C0O CnedK0cYjalxhWsOmjpx0QKHSuA4nL6SlTmLcV0pHo41BQg60N0xfmMWnNfa y+5z5IK5d+XFGs5Z3CXzEtwMv0BpyzPl2owZjPG92SLClo2kXGunhYszsGee vy9O/4g/xqH+uZRp5CQG7srTSIeP+11NU6FpPBnO7vu2Lw1/E5tjVC8ywa/R I7DlQTIMx96dTfSewqXY0yM2QgSEfmqrZYuZhFj4cgklMB7OmuqjJ3Im8EYl 9L4r4R2uthny2ZLGocw3GvJO9w06X7rWxDO/Y63aRNpanwgURDk4RPB/B7FX /oqIeDh8MZo9fvIbrvQa1FtuD4Uu5buvsPkY+G9zxQdWvsIfOUFR57BRXFto Vf/XEghzkiOnct0Icr6dedGgHgC/fp2sDPYRjGt1hv7d7oc3V3Mi7rAxoGgh Q6tI9MHLj2ExDdx0VB/6Kab/1gtGCuc9KkVoeCLkO+Y67QG7+RrqgdNULPt7 u4eIuWN5fN/bBrNhiHndUdfoewp5KdXY3L1DKHBy+5X75zGctQuubo8dQLLz CanfDq4wO2SzY+vefvivdz38+bAL/Mpm5lbKKci+t/fPxYOP8MbsMmGLbS/c ibvHzA0f4sT6a7cmvnUjzsLQuv6tM37o7Pz+/EkXUh7NxXYJOmP1F/e6vN2d OLpgNVBa4YSiByYVV4bbYbE/b71PjBPynL/onflExisT5n/RiU7oco+qMQxr g13PVG1iixNed/a9SfclIcH4yfAZcWcsrX1UqWnfgusS7SYNTc7ovtAo6Mzb hAcKgz9IRQ+xSgZSlT31uNruV6I29wgvrVx0bchEnHVZOHzA2RWbfUQ+Tv6s wfYgw1VuF54g1GfMYZ1iNY7FKlkYuT2D9aXm38SPlQhwXph/xeuByssfkmPT y7HjmbhBnpYXXjxomGGrKcH1RNmpSyK+0Kaqeu6JK0RnKbtY1lt/CAj0GV3u zEOpgNV+5emXsKZsI7qb5oCLZ83NJIlQLOuNHWg5+QUTScXP6M6voWI3dc9C Jxuz97a5cLx6A/jtVWW7lAXzdbX7mJ7xaJvVfvE0JAOHckyTnvMkQU9429ft Mh8QJOIweHRTGvje73yX/TANE2H63zOEMuDzNHkpSD4Vg+qNx0ubs/BntaXJ RvEUzG90iBbyzQbPs7/bTSWSWefG72Yy9QX+ewW4rO4mwfv+0FPp3az+43S1 sawigCr9tFAwIh+en75cfyVFAO2ekcScehEG0hwviaQmoqR88FeqYinuGQkJ GMokQmh1xIflinKocB8tiyEmID9hWet4YCWGlb0ObTJIQNaQuNkxvho0fjtn 5Pk3Hh9WLTm4UIjgdxxQTw+OR8LG4fSy0w0QqTLbYnc6Hqn6WpF6dU1IMV+v M/wnDitm7PQd3q3QcGbcEumKQ0/1yRjRE20Iljmpql0Th95d0TtXl5IRIbn+ e3Z9HHaJ7783Y9gBS7afG17Q4vBb7OjzgzxdkCHXJtI2x+NlgDp34doeULuF qD8t4nHHTJpNcQsFmXvKmyfq4hHA5hR18ng/1mQMvfIQT0DVZtWJd/qDOFJB D6q6mwCVXG2hEIVhcG6pLp0tS8DenXmOmdpUHFvaJFgnmogz56UuPDGiobta yH69fyImC42mn5jTYe+wML1ylYBPQklO9RtG0EgjamnoEeDaRkq6yjeCSJ8/ meEsTnSntAyx+J3ua/5BFrN3lP204R9BinrwI8lrBPh6eWxZYPEz4ymqA4u3 QOSU58YRqFfZlXDpE7DQufZelMAInni6pcaw2NPFOOTjphG8stsae8SAgCDi tuQqwRHkWYpLchoTcKE2oCtGbARryPJ/hywI6G6Y8rI7MIKzCo3by+4QYJQj l3DmxAg6th71TrIjIHW3gwSb4ghWp8nkZGcQIMSxUUUtfQQWFx5wtXwnIP3V QbeOjaNgWk4XLuxPguPjsbzgh6MoGRazO3AvCcEr8eymPaMs33Rsl/WnJMwa 1sYeOTWGl59XZgy2JSPc4M5x87IxmMldW+rxT4aN1LHUSMVv+FUbofh9ORmB 1VHTxYXf4Frl+d+qmykwyrWbW7X1O7aaR/LsrkgB1jq/j3H4DtItNvUrkqmw fKxKjSF+h/lhC+6IsFQwT1bmbNoyjkHH0sTJf6mIKT45IHxrHO6NPiI2b9NA V9zr8696HBOFXGZVp9+D/avRJ2HRCRyurj/GTX0PtVs8Lbl2E3hvkmh/KegD vm5YHyrH8rn+nm/+pSEdzmzNLqtWJnC99XKR1O90cCcMUmxZ/mWZcimATykT u48dFw+OnESU46eC9BjWPXYlufg0bRKKRIEeu4Is3KX9rP6yaQquSueeq9H+ A8mGQzv27BSi7r7NKg/8hAE2fnK26RS8Vzb8KZLKRu1x55CYZ1OoDRexVu7I xm5dPrfF11P4Zdzw0s/rM67rLnvqpU3h4Dpe3aJTX1Cot4tDJmcK7y0/luxR +oq9vn/CSBVT6L5/b0b0eg7cKILjvsQpHB2i39P0yMXFS47q0ix+46fuqJ2X h3/5zgFerPn1RgkfB1bywUnRP7otbwqlR/o6MvQLcfOn4OoH76fAx0HSfFRZ hJJ7h4RHI1j1xaXc4W4rgavVt1LSwyks5WzxNFhdjny1eKd3l6eg6VxCrZCp wOi5C+bJe6fw9M2ELNm+EvXmyxq7WDmA4l0iHl9fha8yLy/sK58Esd4hCrI1 mHugMPvJh+UPZevN60prcdFzfoCgPAnO9Buadn51OH77TEbuzwmMZ7zPNbdr gOfFxdYXCROQa/bXpTxqAnMyeblQeQKvi0xHRhJbsNGU3Yc8OA4DUbZl6Uck 3HA4HH7JfhyPbv4M+5bVhmOrj2xJWPqO+NRrlJO/yaCMHck+9Pg7Tupw+o4E deBqt3+BQfc3iKSl/Hh4ugthevhlJPENm/nd/G3/dGOqzTJI2mIMx7/HnDZr 64XyYbXouuBR5PynpVmT0we5JpHTZ1j9VN6WtTEleQA3zmhIlGUzcHOCdO56 1BCEwmSzSCl03Ldal/DFYxgfPd13R3TScNo728PiKBVS+hsP8SxTQXaaNL00 SMXWhTsNQZupiHgueiLNkwbTG3dUqiWHcdhRMUhpKx0rG0o0dG4PIkpYJ/VB IB3RpKhD45X9sOOH3b8ZOooyz3Os2doHdzFDhY/qDPySaVPea9MLTWqZ2OEg Bn7syyNcLujGs6yZUY0yBk62ktw4WXo7rWxvSe9jQPWCIemoaQeIOr9lD1EZ UIk3X7e1nIxnYc1O1c0MIPS23T7pNrhlZwfQMxm4cfNE269VJLwmkhz0nzJA eO44IlHZjE3yC6GX5Rn4HV5s5pfQiKeiO1wvT9HxAnpr9ibUgzMx99eeEDpU OXg07KuIIPkpPKJL0PE3+Jf2Lt5a1FIFvzP+o2Fh5j856SfVoG/i7P0qw2LK X98O/iqQbv8lr06jYsTlXVxKUwX+a8TLUGEqrOLaBAgfyyFw7pzeXu9hmBGM RL/eKkOGTbTWj64heDN80nZ+LsGB3BePDZMHYb+0IzwfxSjol0h6Yj+Ar/V/ r4RyF8FopZLJrtSPG7lfrlHWFcLJhnvyvFAf7pmmyaxRLsDTlq3y52d64erh P0rLyIeH5Y496e09uLKlPS5POR89Oe6jteXdGNbZqq+2Nh+PF0Q3e/t0YYvg PynCYh6mg1TiTlzvhNSr27YK+/JBd72qWY8OHJ7/uUMmJB9pujZPGmTb0eZK pAYfL8BVtpyPripkLA71JTgLFULuiAqtz7wNP67ufjlwvAjKK9XZdeEk0Lfv 1oyOKMaJq+TTkx9bsen8JctTZ0rxlvhXIZ67BXuqy7xv6pdDIsOR//fbJjAu 60hqtVTAg1N3C79pI0S1/N0V/Kpw+GHwiZlrDbALsNf787wGzivfXxOesXKF ktEysY2I1gkDUwVyHZYunCE12zRAq/fQFFO3DsdmAx+4XWlGdRR3ya+/RHCO /guwUyWBKO7vlMv6juminmfPScZ1X/HkpCYiCi5ZJP/81o7udTpsV6aIePdj +qPiWCdsEzlmtsjUgfraa6WT0Y1b+iU64W516DbZHRH7uhdC+Zb7l+h1KOAI ZHdW68Onla6btcb1oPQJXxz60Q+D79PPnzDrkTKvqKr7dhARUpJRaWENuG8r 2pC/hZXXDIl6NM1G+K45lEWgDENCyfxd0+YmfBD/+OtLCBUdQfJX+BaaIKnt 9myTHA1sZi4nDb81w+mTieIFMg3bi4qUzKda8PTv+27NG3Sk/tk0a7eaBGm2 7ASLdjpKX2TeU4siQcz1FKfiaQb0Ugsm+Fk+SPtqi0N3MAMu+VIjH/raMOs/ +sy0g4GOM2s25xWQIW8zxFjPuv/5Hh9e2Z7Sjv/unxF3kB3BJaGbydaxHej2 4knsUx3BuTM7JAQJnXiyr33po/wI7thu83P+3IX0aU67C6Ij8Fh0by1q7sYP bemCNZMMWAre0R6Z64HX1JKiUBoDSXoO+3N3UvA1ht81QoeBQBC1jCf6QKh6 +SXzMx2FT32HTz0YwLGoleZBITo2HNQVOfhrEGdvV3k8s6AhPtJg+tbZYTwp dT+0GEPFpMnqSPWlYTjsCHjXWTWMTXGl929nUTFkrWEd+WUIjJ8OGy7p0dC0 EuHYVTEAZoqA9OpxGssXSmkE5PVBWS2lnM+KDoHw/Yx173oxHehTnZhPR/cb ToZ1eze6w8vefp+jI8dB9QaZuwuKzxf6ZwQYiJhdRxJR6cBwbL/gic0MCDsS MyL8ydDjTQlqYuUx2uT6Vj2JNryTllzV1U0H86JcqBGhFZMKG6p13tCxi17k sEqsGXOb7g20K9MhfiDojkdtA46u+3UqrI+GoyMHe+Ni65D4gHlP14yGi8IH CeVptRi3GTlm2E2FxosBjq7RahinCeprK1JBr48JsbxRhcpu2V0C8cMQ7zsy WsxRidgYLW6pqSEIPrAt208tx2GlX+aPwwdRt7YmJKW/DBReopLzSda+VIlK clwpxZEYisAipQ+x8xpMilgJrFT+bYUvBS2VeYbUs8WY1cxwapftRdeDCWn7 90XI/fs5IOp3N7jIT5rLbxRhRxE/mmu7EMJeN7hGrwj1udsfmzzvRPgdEwPL 2CJM7pRc7XijA7djnr3glCvG+6ul1RvU22FIS4tIkywBgjxFSzXICIgs4fK5 X4obQ6jOtGgDr8MPYSGucowTC9JKX5Ng7XB+eg9nBUIMh/zUC1qx+fyhR3Kn KlFM/C1Ecm4B7zOyoWlsFZ4+yvZZlGxGm/XjfW+ia5DMM3asfmsT1PkJWXOT RNb+Z9ZyqDVi3w4RrVPvGlDgFlxaWdqAsjxKjPChZkhwnDPjsW2Ax/cYSYpn K05ZWfOonmwA0Wt7xU22NuTMi5/M39qAkCn2eYdrZPDzeXl92tyAVvlQje2l 7aCf2iXlJdUAob9KLtEnOrGq44tJgCHrf3bPRQMKulDxh+RwIKEBEevPrp1W 7cEIlyg7+U8Dprhdh6929WLx8fzyD7tG8BYs/WHeZp2Lz+4n/IuNUFTQCq6f 7odzS+HLD1FNuDG/6Lp4fxC8gTe/al1ohnpf0rOmwSFctXl5JmhTC4SzTqs+ jh2G/TbtsxwzLbDKDDbqBBWmTtfvaA+3QqjBrZneQUWzumQJlwMJc898l6xu 0NDHyI7cJNmGS97b8q7P0XCtnj3btKgNl2/P75HTpYPDON1QW58MGw8VtgQC HW5yK5ezlsmwff7q9ms6HZr3F/PU37eDQ3tbi4YQA/1Fvp5DRh1AXUnTZlkG zDe+LT2ytRO8H3r87mox8CJRvGimvxNLfI5n6nUZuKIWMve1jKUvFpH8ApoM RKstCeals3Q5mfvF3SMsH5BCkNWK7QEB1yPfcTPAbKpUyYjsxQaJs2vNWXpo l1mr9C2Cgn12ijnOwXTMDulbT0f3YdT0ka23Ah27Y56suCf24+Tjyx7SVBqI fN2yur8HYJr5T+ipPg33muY75y4N4YFY2n6nIipOEbRL/XWGUSeklmG4gYrT RPUA8o9hOKp1bvG9zNIflx/R9qFUGMly1PXxDqHILcV/524aNCNM2sNuDuAf V6GuUioNa3/5yJ1k1RH5fKPU9GY6Dg/xvw6t7oVLblyLqy0dBW9rJmuXu3Fm 1+kLQpl0bBw/wrFWpguhB55werbS0bzBd1fhrQ4ILwm1/u6gI8Q19lpDEhkN 9IOfD1XSUexEmfNUbcOdDkoLz1s60lQT4nUmWjHExicQaETH2lcFHkZ2zeBc b2utyEPHSwGK//EdjWCrCjhikExDgLRWf9ViHT52yyuHS9FwtvfARMxaIuK+ huQfSWHp688xJ+qFGhiJmSh18FPhmP92x8XqKnCcOD9yzWEYkj98wkxYvtzv oG3lleghzOtWCcRdrgD67NMMVVk+8tD8Xqp5OV5lbH24l9mPh4FiS2qqZQgt NPALf9OHsLlwizCRUnB3L3j3n6eg5uZI8le1Elz+NrQUvLoXwcfH7W+WFYO4 O90urK4bYapjrcLexYicTFPZH9sFrZvXxmyDiyE/IkHIv9WJwxLr5nfNFEOm 6SU3TakD/6Ti5BrSSnA4RGL5vxPt+NTpkBmVV4q2zleWnxXJyBCoKhHaWI6I Ji6VbSz9CWX/Z5jzsxxee3pl22JISL+QILiLtxI/uHqub+trRf7CYs1B/So0 Po7nL//QguXj8mvJvdWosvL5ZOXUDJ7XOaIvFmvhVRRP2/isCTdPyxfdcqjH e0l/73cVjfj9K4KTqtaEtAa3RH69RtTe4hwVaWmBVprR1mDeRtyZOe6yj0hC ko7xDc6xBrzUs3XoVWKdd2STgR29AT9Dx3WOd7QjvcNzsnlVI7zi26SkH3di RmrxvyMKjWg64yX2UbobOZv43+S+bQTtidXZDxM9sNkye8JXqAmnd5mpW6ZT kFTcmEP+2IT3+uKkcot+fBb95TJszrqnLFx3+/EPwnHPmMLysRYotEUJdHwY gsUcV5XrzlbMEro/f3o9jEICyXhgEwnMfYdSGCpU2M/1bA9NJmFS/3a4AZ2K tR6mm9ada4O4k8eK7X0a2n5Z7/k70YaHIu+5N43QIMIWFCtEIMMjYceOPDWW HyDHWfyxaEfP18iTcuF02NsHZGsf6UBim8oQuYEOnzuadgncnTiw+vLt1Uw6 4kozd9yf7ERAE9Hw4V86JHr9ror3dsHd/OXH5UU6euQX29a1doNbI4/XjkGH 4buibdebe6D14CA5u4SOEw6tWQLtvaAmpegQntNhrZ5KERyioCR69piwIquv JCYihA/3Y/xhpwo7K08t7rxgFO87gCGvqWJels9ozuQ9urV/EKkjXnxhFVS4 PbNfShIeBh+lvYu5nYqbl35abCsZxrX1Ou8Db7NywrSPWdgNKnbbWwnSMIT8 96VVjdNUuOh5sRdEDyB1uqdh/0MaIuouZmf290Fvp2FuCIXlXwiajT+uUNCc GlcTJ0OHw57WB28retAYSHzV6MDyheYr8S/2d2OFoB2ZnEjHeb9ks4MhnfAe P2g/XUAHLbW49MJSO3ZLbPvdxuIai0hTdlsy9kWrpf2NZ+mP+GpOzykSOF5d tu29S8cDTRfu12yteImsh0k7WPlvsCOAdq0JmcE6v71zaXgz9nspnlaPrzXJ hwNlaeh1qN4UnU4E2eu52kw1FbVChM4DG2shXiq79pwaFbY3j3EWJVbjQfnw wUelw+jmx/1rRlX4UfNZJl5mGJX3RHyuKVYigFQoHX1qCHLXJHRfaFXgzshb NXaeQewMubxi7l4OrS88M4qUfszKWPxTyCoDaTZDoSyjDwf2tnwaSyrFMrcB /1IXBY5nnY4q8pWisTt6Rn8NBcJR6ruU3pXg/wCyaWo6 "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c4Fe77x5WoUDahRGlQZJSsepOiUilKmaFURqQkSkj2pkSiQpERWUU2 Wcde2eMMm4OT/aF+5/e9/3mu+7qe63muZ9zv9+sWNbfTsdjIwMDwfQMDw/+P tya59YuyF3AiWUDcKGQRG5w9QiaaFjDQydLLJraI57bHj3tsWQTvx+utlboL ODb7gNNdcRF5Gw0nwhPn0Rvxbb+Y1SKsNvx9+5BhHmbhcnz3ohexxFQ+UmH6 B0XiBOEzhEVczRh0Wqqi4QDpt2DOyiICmZL0gmRpsL8Q9+zrwSWw7bg9xZUw h+zNzs21Z5bgrOs0/FNrDqJPeDmyzZdAc1+V4lycxcG1/bvvui3BQYVdiyF+ FhvWeprI75ZQOFgn5KA9i6GgceL+vCUEOW3wyV6bAVVmnVe2agmhViftEtJm UNJ2fYNU+xJiRwxlYDyD4nUjPUHSEnLEeQo8ts/ggIp99eLMEuwcaeJWpVTw LyV77V5YgrqJ8nerBCrM1BXXz6wuwSBA7+YLbyoICkPiVv/o+//aPf/Vkgr2 5mHeXHp+gV1FjOUeFQz/i2Xc+V9QETdwauQ8PScKf64vv02FcttbQgQ9t5Cc OL37FhUnfjtQfzAtY5/p8EZzDSpuuAkXdbIsg7o2rPlTnApeZ1XZBfZlGJ4P pxzYRoWcevfFVpFlCDpMfj6cMQ3r+ZqLO6SWEeho2mJlMQ0Ce7HBRWX6/ldL OOV2ToP7+IM99meXcUm4+q5H2xReSFlfeXltGZor7dPXAqag6rgQam+3jOOy Nhaua5O4t6B7i9dvGTwL8dyRdpMIV3Nas45fRp/+9FwAZQKsG0OfPixYxk3R DYrnDSeAB2OUfe3LuNDuaVjaNg6cyH6dz7gCLUp284bGMeRERtSNyqzggMCm o4qNo3j7qb7sjckKEvaVnGNqH0HSgr9Mqt8KmCq9mLgHh5HAmHV+S/YKqGFl fjtnKFjNlU8O6VmBfljr3TFGCpjsdFw92VZBDbavNWoiwVFhUuyD0ipOR8cz VcYTkcFw19339ir+7oy9vfB8CIv8yt4Uv1XkGwhRqsoGUHGXLVsnZRU8uiFi 5yL7wPggsNa2chWtD5Wmulx64HNQi9rSs4rlgiEbvkddUC067R88vQpnXmma 92AHtKO2GlbPr0I29KrDe5s2iAXeiIybWUX0r6wSnl0tuO3BaGnSv4q5pTdu caMN8FBluWNdtArjJQkd7dFamKhIqDiErKJ+lxn/npNVkKn8m+hrsorpTQaG XU8qYCIlXcIltgq507GWFnOl4DZedrIZWoF1m0l26LUi3PVbdtn5egX+lmlq mWfykT1ulN+CFYw/no16k54Lms9KlSFlGd3P7y0k+GVhfXKcJ85jGU6BFCjG ZkCweJTrtdAyRI6vp50dS4ES++m4g9+WsOXoQHHQUCLu5Q8PnldbQkCX49Kk fQJKbqVt6WpahKWbPI3s+xEOhVsj3xot4rYwT5Ph/hiEGGz6cGpsASKSf4QU GaKQFeO0YvtoAc8yY4pjX7xGskZIS8LfefxX90zFMTQMUoEbdl/xn8fnUg4X 58PBYOWVT27jm8e/4+Fkq39+cK+V/ZIW9AfxvZd4Czq80JV0RjeI+Q9GDwlN yNl6IGJqUOLXCxqUS6rK7TXcUPf9q2TAvznwCF7bdfjrU2iWbSWxus+Bv/fy taNDjjBK+y/LnHEOYWuUtNa8RzA/fTMjzm8WIlO8hSw77MGYdKiilWsW7Oz8 0ZyE+1CoOU8K2zKDa1E/Q6MvW4J74tHTp/PTOHb5+phhugUYRkxyNcenYL9Z 8yHHd3NECveSOkYm8e3o6AXCaVOoSrEXL09NgCmPpkFxNYJxjzGr63/j2Cu3 ntwkqg+f96aBR7jG0evjkHnsih5M4f+4XXoMxMH7nEs0XbAVdK5t3zUK3ixB GDtcATfv7uarvCOQfCIjf7/7EoiBxRGHBYbhEBDk0uOlBd/c/14IH6SAUW12 pqL6LEyVcpGrRoaasIJt1QsN9Fn1+7takBB+mtC8O/Y0RgP3v2Z9RUQXo/31 7VvUwaSeqjJXOwSGHKmF9zlqINpbrd6NHQTX5Y4FZ01V8Mv/c5D61Q9X0sep z1on0XlXMMWPuQ8xjW/D9TxUwDy6eY1s3oMTnmJ71HYpwy/lVUlRZxeE1S6Z z7MqwT/jzZ20W53wL2qM/qemCNrBy1H6TL9Ru/DE92+uAi7bdmTpn2/HjJZw eOUlBZhJn7I5kNWKkEFHtq+qCoj1jBZiUWrBCZnmWCFPBWTPrxasFzchVHE3 815eRbzRvnneUrUBNUdAaqXR15eZ2MA5T0DjwBZtgrAyfpl6zb3RqAH/E9Lx LfwnsNuU4/iN/ko4ZF6R8E4ADIV+KoVkVmCpqMxw3VoNzWs7Du4pKkOHmLG7 wV112I3f0xVbKAFTuC9TefsZBEy63OyqLUQLhST0vPYsakudrjjO5MNm7NpG FtMLqKA0xwZKf0cGQeclOfoKekVuHNNfz8KVo11V6wf0wDZZFJum9g0igx+Z MhSMEFZquh7alYotDjoPAg+a43HK81sjfUko4Dwhcjj8LhZ3ibPKP/mESX+p IrdWWzygSW7ZHh4H+4BMw3oNBywxX/7J/PU99mwX6vZmfwpnP96tMi3RiP2s Prq10R1JVybXx10iMTmmMR5f4IXUYysBRz68xnvCJkKGRCCe6/M/0BMPx6Nd wYwNmuFofHD/X+H2UETde1TaVhIJCw+Glu1+gThz1bFKtu89LPktP1056o8Q bgGzzfXxKKq4qOcj7ovrHNdoNGIi9GKuabele0Oqeesm3qEUuG+UPFNs4oWP 8pvGbX0z0JJM1HWQ98TK2+LQaOcsWAqI7TGXe4njurEMCrG5+CoYt0lK1wO+ 113US1TyUWbGnZf56gWeGdy4IH6nCBYE2pd5mjue8OkqvOEuQ/ueyon9du5w TNcgqVZVYFAgZiyG2R2MlkGRz5urYHgrIjfSzg0JhJcCCvIEvDzl7PSNxw0+ Adu7Lkk3YLtYRuXjTlcwdlmtUGSb0f+CdU/Cd1csNQc5hE20YJwhTndrpit2 3PH7nFvUhlfpnzcEV7rCUtRQTCilA1onqU6H/rjiuVmoNiGtE3W/c8JnFdzQ +pJ3G3d5N8a4LyUyvHFDv1LGkbjhXvj4dxXXbnIHLYxHMYZrAOeffP349Jw7 aqPOPBoTHcK7iRCJiih3tDLdJc0qEhEuRwk1pp+Xpt4TXHSJhNzzNMo2vRco EItirzAmY0H5Z+ad5hf42lT38vQLCu7uq/co0vOAWZrbx9XIYTwr9XFOa/DA Y4Zx7dP2I1hkrml/fuEl4sXXwhwxCv1gxaADbS+hJFQs0b9hDLX9W69+NvPE ouBVn015YyDzPb69vOSJhs5rx3LNxiHDo6l74I0Xart+NEz/HYdh2srQCRVv JCQYZfSGTKB+5WbDhQlv3H/LLNPGMwm7ZsmSfTM+YCKutxGLJjEuccLWa5Mf +tzUU4yuTGGbQNWvOgl/hCt6f+ZumQI1M1DMyjwA3g2f5WZPTuPH/h31pNRA bC3Pce6LmQZv5gW9ms103/D6bJE5NY3SRQPdIscQKLxU/y4hTUXhmMl6vkso OE64dg/SeWxz1zYFuydhMPWWoOTHUZG/K5vtjEc4aHGz5iONVBRb00jb3r+C RUBIuQmNPr/pvuHXutdQ1RkOq982g+pXHm472N6gLGTzpfA9M+A+c5FVzzQS 3A80EttlZvA8PL/JtTYKOkn77F+qzKC/54RE8dlo8ORtGDVTn8GedNFQncF3 6Dv6ZXab5gxqiE6HgoNj0eDY8Yz57AwE3g35dF7/gClls8FvGjNw3O7VFE34 CPGwqX2Rp2bgdmjtbdx6HI65fXTbTV9/qu9hrIlGAio9nki/lpuBu91mWc3E Tyjk5oqTEJ/BoYSo4DHhRISteiRt3jWDixFvGscyk/BgVn3gFPsMREzkVzab JeN25ajS+D8qgnckltySSsWdLZ6v1qhUHE509M4X+orlq117XPqoII/m03Yd ykCV3Ms9N2uoCJ2xzzPL+AaPm89yI7OoSFXY+vR5XyZ+1UYFc7+jgql2VFNQ OBt+TeWWhS+o2B2XMuv2OAfPFC3NnOg8zLIuSPU4/R1Jmx9us1ajwp12Zk+0 Uh6qF6ZYx3dQwci2Xy7L4Cd84mO+JNPfV/TPsfXepEKMkQW0jQqnERq//vHc vhJo/u269cVnGlm+r7btmywFs+oeJslL0zj7aMZT9GY5ZO9vzXVnn0ajhNSO q7MVuLbdaVm6bgqSEn4CTh8rMUcrmytzn4IMRfKwYmY1Mv5ZLtiJ0X39jq+c PLUW97xc6quLJ/G1S2JfnH49nsqdqxm5NInuHYvrJguNCOMo2N7dNoGnhYHK 9sRmBPP9Wnx7YQIWufbPXM1aISU/KMWbN44YmbiOllW6btxI2SrOO46dt465 flHpAMuug0J3wsZgLJa2/VfAbxgNuDQ93jQG3yNN1wxGO8Gzzr3Sc38UHBuP WWtd6gZ7qLnczoYRlCRmVnKW9GBR+XZEtegIUrXGLL8d78NAtn7YE+thtPfJ mH7I7Yda0nPN7mQKinJqb5+7MwjOz185JsvI0Oc+dX6r/xD+848nadSRIGff L89mRERkkaS+eBURot+aDpj/JULy4oqN7cQQguL/LFtFkXB/lsJxl3kIfze4 qhscIAMqLT20YwMg3nuhIfSFDBst56OVOn2IFROYM+anYLpXBF53elAlO9lp bU5Bof1siXhbFz5XPBZvjaVga8Up213ohNdlcumvagokVN/S9L52IFPPLePd AAUWLoXvdoq2Yzn9ifbkEAXfC5VsZ2Jb8dxaOfV9AwUJI2PXbQ60YCh8fPeP NAqsihaGX640Qereyc3mLhS4ceyEVXEDctsGbjSrUBCSI3SCNa4OAlrnRlyp ZPSk7DS/86kWb3HASD6cjA8V/Nn9hGq8/nb8N7M4GRInnoaJ8lXhJoOyDHJI iDIjyh/0+YXr/4zTTI+RIM2nmyYjXEGv++t/2NOJOPdf6J3OnjJUllZTN4kQ wVpbprKvsBSrvo/qVgOH4L5ybObBixK8efRj+dT0IMxobN3lDUUQbrO5sLdo AN1hqh2++oXQNLWe8w7sh4ZEw4YZkQKw1QQd4DTpg2aEssRxkZ9QeGXux3m0 l+4/irpDuvlw2f7ZzIOjB+Unm5oq8vKgcH62lWWhC9mFP/8dvJCHZI/kMkZy J5Jz2XRbWPNgqhqzc3/Kb4TMuiYHL/7Al37DyqAXHfDRe5X8UygPqSE8tP1W 7fDgqoDu0zxIv/NkfHm7DfcNzAMuceXjhMPD1vEHraDMWXEHU/LxSlBcxDKk Bcc1IvybaD9RXMg9SSxphpZP2I53KISBXnQ298ZmrCUUOEk1FqF+yO1w+/VG BBw/qOzLXQrRca+izqF65Eypw/FZGT7k5Fw2iK3Dh8rI5qi9FWhn9HxjF0BA YdfGW185KtG2JPZYPLkWpkJO1K2a1bDevunZp/ka2EbFivIRaqHcZJ3CblOD Wb0jbunv6nE622j227Ya6PPp9D4taMKN6TKr0c5qyN564Cn2qgVbuqxuHq6t Bh+TQGGZVRuU/7D6cw9Vw35Ul2J3swPpGD2oJVSDyGIWDmmrTkzrj+e1WNRg UGLEiry7G9J9fOpS1TXQCF/adby7BxEjE++aTtaCwdL08sPQPvjzHhSRrq+F i37yzmIMQDxhzLDDloDlGwc23yEOIqvJ3Ed7fx0CubTdWPKGkP2Mv0SBVgeX I4ZVno+IeJ6WsibXWo+vpaG3hEVJoAxeKZ+sbABHPq1PpYSEWO0JZ46GRsTk PvPKukCGn2jWS73RJmha1CsU1JBhbXxkVdG/GUoXTR78kaWgajiHgV2iBRzM Nx9pBVDA6XJlG2NbC6z1rt1ZbqEgOiD2vtT3VrDt97g6wDWMsFgtS+OkNmQc DQuSUxxG6FXBKP7EdqjuOFB9U2MY5QERTLWZHWg3+ldOVB5GhU0w18/a3xgo tGCXFxpGfOYNJ+bpTsSY95yuGqbAxcbW4pVgN35sbPIdjKHg2OHj2Zuu9MDJ IZCWrkZBRMGLuB/ow6YF4/dJ9LqM2lt94Fx1Pz7tsciXniWhXvguqVN7EMeb ZXk1FEgoZmgwbrUcwmxkXqWJDRHqStkPR/cR8fHQlOi24CEcyywaEekiwoMa Sz51chDrLMqSPc9ISAoOXn2v3g/xmAEeEiv9nooPdyXJ9OJ++27tWA8yrt9m eyrB3o2QAYOr0g1ktM0QjllrdiLKSmRj4j+6jnr/yLJ360DoxaphcbreOby5 v1WWzocBJxuM7nNSwDEpzcq8uRX3XluVvlsgI2I+Y/xTKp0vnR3ee/8io9Xm xtaE0kbwtn1NvOlKBsfhHSJ2l+tR8YtvYHovGeIeLFP8bHRebTPvDPpOwr+9 L691LFUjbcSyfB/93LEjPVIedH3SaGKW2J5KxIGimKZQy184Hv3y+xwnEVJy X6pF5spRXrhx5xe7IegebSiXTivDcT0lV9HgQWgNv7InR5XCg5AWSqLrOFVR py7KsgR8T8R2fu/tQ8v14c+PV4tAkMx/LOPZC+3UhaqFgUK6r9qonJXrwb1p 1ufcXIUwW4wV15jqgtcx+VrHkAJsvmzV3pbZCZubqvJJugXIWLu/vNH7N50z m40OGhWgwGEq9+WJDsznXps/+rMAFZeFXN+wtcN5x/uyaw8LUZeiaKEy34qM Kzfn2ryKENo/bDEz34Ju9ZidSUvFUORfmCrf3gJR85oQ0TuleKFPlndTa8Ye 0bzwFM8y6P5lELcTaEIJD+94bk853PleL/4YbICqkXxEufUv/DjU/ZD2uR4r ulZh5TFVOFglUyWVVodpM8P68kO1+KTt/lyfrQ4X3StOXgivQ0W7nad8BAEL tNB0G+VGPPI4OeSkS4Dj1/SDYmjG7pnbKWriBERlqWfGPGrBp+BE/WVeApg8 0stK81uRdj+Ij0WAAKqAhuhX9nbYndPlnJAhgDOpP3H5YQdipYayOU0JSOey bckf+g0pT1UCQwIBzaxbLr6+1gUx1nvGN7jq8ERRsp98sAdpOoKTSh518N2x a8vkh16km1nsdWSqh+lbvnNKnP045+WQ+omueyu+qpPFTgPIc9JZuHO6AfJq NT8iWgch+kkjz/xfA/j19LQjgoZAXKvBqfpGXFbiO5Z8gEjvJ4u8slOasPNB WrjUdyI0Ft4Hyl1sRuO306oc9H/3iIXxrk9DMxyYr8g+TyNhPnJAQEqvBbS9 P8+NcJHx+zDV8t9IC7Ya89xYsSLjQVGyYIsb3bcL1vdG55DRrPa89bFIG/iZ fqj0zJBxw2vLNvs/bcgTsn8/vY+CtwX1TH0t7biTOq2ToEGB54SZ4fGCDvwQ ObzUpENBYD6L81T6b3zx2GdvrkVBfCTb3rP0vmv3U/L1qzIUzARf9XHI6gLH lmL/90wUvDrxu+VhaTe6/7qlyNSS4a82d56ng+6Xfq1/51zIKGsrS6PR+Wnd oThvZTMZ5tunIos+9IPvsnzOsAsJVzazN1lvGcQjXRmadD8RUMp2eC0/BOtv b910JIgwzzNbEKEM4d6a4vVWiyF4NbeaBPoRcWPvhYSKPYNwpv6r5txLwjVv w6op435YiFVbu9HvTWrvjeTaF71wn/UMPMpMBlPi/Q9CnD3QmlLNMNQhw9Sm XU/hbRdkne7uWAkmo6I1+rXSrk4w2+Wq7/1JxtV3t/gjPtI5kqX1P4FWMvji WHZuPtCO6U/5J8w6yDjEwRPjndOKf7FBRwfKyTBQS53YfbEFwupSJX/ekvGr 0UsncrwJPjfiR6MN6H2kMHOdi0kDXBarzz9iIqMygRJo+4+AXanv86rfkSDZ XfokuaUGYQ2b8jx3kzBy5OnJqa4quL+0bxZ5RcRlbYs+E/5KxLMO8jivDKHW L54cF1QBYy6D0MRrQ1AR5IvZoFyOrnh/r0/XBvHzwZkP5bvK4P1uikdwuR/G WedePZUrBa2/tcUkqg9ZYxF2zbRixN4Ok/VW7kVTvPEtj+4i6PFLi0wPd+P2 xKmQId4i1BxrU5F914XiRwzaXgmFOMil6qRs0omO1BhmVrdCfCFapZ6W+Y27 eWfvSiYWIkzwksgArR1JHw1mug8V4cbyXj+/+jZUfj9k9IOjGHULa7ZKJa10 TvRLbNIrgUrq7LRpXQt6OcJOjbqXosdiG2nrXDM2PuYeNA0ow4ztNGHlSDOS rE+nExvK4Stvyu3F3oTXSno+v7R+wUDds/HLTAMKg3ZlWm6pwvlDfb3jbfW4 wKeem+tYg8TvbnJyq3XQ4GZMndOsA9cPZ+78J3VgK1uL6BpogMZOO58YiTps Yz7qGynUDMarvKN8KwRM6j6TPmXcgp3CtYIPSHT94N++qTGrFe3RJ2UWhwlw sV4rnBdoR4qmzd/1jXU4GO1kXhnSgTxJb1+yQh147I5cTuPoRIvBhSssPnV4 JNZI8I7qwvs9PrNedD154f28zcGxB5nsmqFqLvVg32/d5TTQi8LnTixCzA2Y Oyst/x79+E/WcCEjvgFtvMPdgm8G8Dk9Kjr+SiOEJCMl9AcGMcly++Zbribs /9CS6UfvO2KrpplODjdhOLk8MEeIiNaKKsP3t5txTvwe25M4InpenbIVHWwG pyGRs1uQhO/uzAN/zeh8cpcyJ+JDQsLbSw/Zpltw/Z3iQvMwCR2lTySF3Vtx uTPMLV6ejHsxTppMQm0I+R4V6uZMhkzsb5YQui9vei2n8yydjCN2/N02we2I 1DQKzO8jQ6dNdo1q2QE/OXtB/iUyNqbkpAdr/0Y1IVLq0l8yRn4aX9bn7YQq q+NpvUUyouWWXcKfdmJjx0fDymkytJ1v9J0hdiLgYvdbZRIZ/wcME6u/ "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFl3c41t//x0tCIdkk1UdpyagkVJ5SUgoRGZkNpTKSKIWsUAoVSeQ2c5tF ZO+9521zL5uskFC/+/vX7/3Puc51nfN+n+v1Ps/H8/n677qtzi2mdevW9axf t+5/o0ph6JLi1gkM5cUqGAcsgmvEv2TGYAJETf9/1eMLKCr9mcHZOYG3m6Y6 dpF/4T8mV7XHupMIaI8yOzMxj9rMBCb2+Uk8eeUkldkwh8ipDzeEAqfgGsJ5 Max6Fr62E/0mEj/RyJu4ENs5g0eOQhmB5T+xkNJr1vNzGr6vhtdknk2jPl0w 7NQsY5/3P9lawRkkfj7ZGsg/idsap03XbGawqHleIFtvHDIG8pznymZAdBNs GEseRV+C4VcJvllskH/94KbgCPLoyer7LWZx76finMLbIVhmjeR+Ic7izMmL DgdF6Nhe0vWTZWUWK9uvT6Rep2I877Qpr+QcPjT4+1ioUHB/88qxOKM5vDnZ FXfsABkLla1s6p5zOCCrPPZbcgDytFTRl/FzkDp/iXpHsA+nqFbJY2VzsFJc Pc/J1YMFvp8x4z1ziA6oNfTh70Ls2Dk+rok57DCT0y6WIOF4UNuVvvk5fFpL kyLrtCN//O3UwK85BM+bRp72b0XNMzu9tKk5pF2weny9uxlmQXGqS/1z0Ob1 /0NwakRcZqSXU8Uc/P++vSF+tw62O48kccbOIWTITXvX62qcVdC8Rmacl2X5 6quCR5XwMF/+dM10DrqlNTvWXMpRIWqZE3F0Dv+Uv/PaxpfiyKN3zW0bGN97 pRKtPV0MTfI9c4WmWXCzefoJfitEUx5BWTBkFl4Wmrn6ZXl4ce37YonBLPI0 AyxIvDnQUX1dFP1vBg56RZ/bmjKRcbZjjzNhBtL+ybGi8+nQ/TARfOzSDE5+ sHGeaf0KQZbns8zj04jNfVJrRE2BcIp8x4rcNOy+OIh4BCbilu5Sj/Pzn6jR e2h5OO4LKsX0b4VWTYF980W79/xx+GJSFaHDOQUPm4a0m53RiBeIPpa6bxJt VxuOzDoSkKzfGSi3ZQI8u2WE27nC4eRVKbi0NIYjTe/FQgRCITPkFG0YNwpX 0dFnB8Xfo4wzxq/EeASr3280bt4ahC6tVLmmncNQ1tO5JnD+NZr2Pe33nqZD RXVYwsXBD3pSfCX29TQM3p6buXH3BWyLWrzqs6iw/ik6qLXmic7n6oVZdhSo 7onaPxHtDo+iJ2bdSmS4/BBgSUpzw+RjyfYtpwfA9dpUzOXXMzx+GsjTeaAP e346ZzXTnGFVr+dZ1dKNz+sMNi4IPEGKaXDZ9cROfNO/9i5gyAnFZvasyl87 kMacnW19xAlfjsUzJfm0YXT66YD7iCNopZ9zuEJaYM99159ntxMGzocePE1r hEXrcui5bY/BKaqftPRfHcLI9YPCLU+wgSUs+XRXFYIXcraN6D1D+1m2OcpS OT6PdnFrVrjh04XPIbaUUvgHfjssmO4Ogjar4+ENJeCeq+uWmPaECpWkuzut EG17pDIsU1/gWNsWbsGMPFyIXOw02/QSadW3TE9tygHTo+DF7zvfwOw3kepN zMLDhOQqfv8gxCVO3eg2yASToo+8++V3IGvyLzvu/I4UTe2MRI1g3JiS1F9d Scdswilxv5cfcGnl4q6dU98wkSntObolDI0NtvZJs1+BUxKeLrRwJF0ccPZg +4pfiXWma2wEcI9NBV3LS0Xl6qb37vei8GGVYL/2JAXyh+g23dPRyFTbw8Fy KRnG1n2XBT/G4kz7D+8ImSRYlczvfXk3Htuf5c4s7U3E7gM/7hXeTkDqfDW7 OUsiHr9SGp9ISsD1A3vMtgwTsaJQQCLPJGDoAqsfUyURAdIB6pFyRHzmq9t/ Mp4IJX5hiwMuRJRfXHvBE0MEeTXvsYoXEVa5M8FjkUT8uv890uQVEbnt/nol 4US8o7whOb8lImHF3ULyExFBUiyLm0KICPv4v+f/x8aJwJ8soUQcsjT33R9B xFi0o60DY92vb6wrPwhEdMXz12i9I+KiyonRzi+McyZptUoEEvFfp+vQcioR j805XrG9JsIl3nReNIvx/e17bjRYE/GQ3Of9e42I9xWjFiRNIiwlDRZiziVi 3Xb6gd0yRHQEK90VY+g1XGbcJIObiNZQH17HnkRwbBK8StiXABHeAa36iyng 0Q098knjCwKpZZOuS2lwOPbTYMUjHi4h3e8OPfiGlQWpiP+q4kBIIWz5xpaB bc5fG52E4/D9kmvERPl3rI3bidk9icVsSGF8UEIWBDf0JHgNx+BYruYtq6xs nGp3UHF5HIPLga5r3h65cM76u+LDEwPmdQ6zHdb5OJP08cDt79EoIHyI7HxS iCe6f6oGTaJxMPmw7zrdYhzW4NfP2RINx1Pcjv3PStAbZrh6ID8Ke1rVxf6M l8K4rSKs3z4KlxpJLCn25XjpniHqeyQKRV4a/rV8lei+/3CN/IcAvswecabW KlhO7N8cU0fAvFzzDlJiDb43/YJ/LAE2V/JfvIusg2bJ8y/37AmQILXKz5s2 QaDUZ3rKmIDHS4SXL/e1wNKZt9/jCgGE0g8xUZmtKDGk3bmmS8Dy7k1XPq5v h6Em9a4FY32R+QGvBsMOaGjuWrx+jwBn7aSbewtIeJqmuyTjTkBB4b76awe7 4LhwXyYygoBo6z2uvyO7wfS6X9armICwn3c4zbb3ovuQSsqOVQJm994odVDs B+n7g/7qM1GI2RzEr2UyiLUEo5+U51Gw+mG596UzGTGbdsyblUfhgttnE3FV CrQnHvDtZdSP9XhWngUnFXkdd3O2mUbDjIUr5mgrFZTGM0/2Mer/dFWilPCW Bq2maC6FrTGIesn8sVyDjgjZX5dgH4P9Ec/F2pmGsNh72NRqKQY6CYcD5AaH kNp1TIP9RSx+S3+wepk2DJE0bmOhHXFwsymIW7Ufwa4gyQ2viuKQ+impj+XA KO7+ak+9ydCtS922IauWUUBA8VnKji+Iemchvvf+GGbq2Jce9n1B8nd7J/vl MfRLB63roiTgV/vmc6MR45iy2uj2bYkIhcf9M48kJ6A16s3eOZaIEqEjrzWC J3Btq7F05EgStqSWhZbNTCAj/xLT2dlkOHF5NlUoT4K07ZkMC2sqvr7+JaXy YhJWTH3Zhw6kYZqkqPhf6SRUl4wNmA59xXRnWOzphUm49Ee+mKn5iqQI1SuP dk1h5Y7z8dc231CXzuTpdnYKsaXLLXVm6TiUSd21+/4U+CrF9OZMM5B5KPQ0 zXcKP53TqG/vf4fzVU4WhfApcOxL7T7vlwl+ezsJyy9TSBNVss/OzMLlgzeX niRN4V7WV8M3cz8QkVhOvEqcgpVjxEU35Rz0mUYuZkVNYXPuSIwaIRcSc/xK R4OnIF+/9fPfE/mwlrGtk/FgzFOys+KmC5Dbk/lO9e4UPo5XJxvmF2F8nXFf u8YURKzzvCNbihk6LJfaJzkFgZ4rFsWtJRDi7y+wYZsC22ZVpX3UUpSe1OGs G5yEsierjvW6ctispM5czJgEx657WSKuFWAeJeyffjSJPmgb3+CvQtJ7usa9 I5OYy0o4blVVjbfp/FHBoxMgNwh9OhNcC5Z9uUwyoRMICTp1b86tHpXb1o9M KE/A97d6kp5vIxJFviXfp47DWjiBI0i/GS1vVXwuPBuH0UM3rm0xLTD4bHvt wd8xWAUe+pTG1IaybRG29o/GoGu74C/myNDdiuCbl+RRfLTQn+xf7YAQ1Tdz WmkUgeVbNOqDO2FLIA23B4yAdTLIRB7dkMtecbdrHUZnRI1ywmIPoy5fephZ hiEcuRCakd2HjoDnpIkDQ9Dmj/jW/nwAdz4pBMWfooP05iHPpz1kaJmKSM4p 03DLoVZFfoyMhly5tZKrVPwyK7t0MIGCPxez9943pyDh1kj3jAkVNhWyf2JN yaha0pYSGqbC+dFZw2ruQeR3/UxxuUHDaAAzV7VRP+gyvZ7RbTTUEH4vPQ/r Rc2/4izaUTpq79zQLGrrhpD4Oil/dzp2fum4P7mpCxPPG0J+5tCxT4L5ypbT JPA+naKlk+jg6tvxn0BdO55mJglMUuigiKsuZl9rg67/0aygHjoMFTfMjC8w coiSSPNoER3/OlJZv4Q3Y3HnZ8eQIDqK1bqjI+Ma8fZNs0yaFh0J8zIS2+Tq 4U2x+f55Mx127voX/7tci7T+hFaOHBpOdG74fs63Gs/WfXAtu0ZDiO6Muzi5 ErbalJWieSo+Uo+frzOoQJKGlIiEBxWlmg9JWXNlODAmp6zFRsVt6WsPB1NK sSlIV/i1DwVkOJ4r8ysBT8a7Ia31FHR9+KX61LsYNgV+MkxOZDSLZPbEogiO j6fcWdsHwbu2jTc/tQDmWwS8VH4M4GycgvpBvXwcfRfXJxLWD9UL6cp10nlo CnAPLHTtw+VZyR3+J3KxyJP956tcL95U4o6Dfg402nyrbi12I7NQ6/hSajZY aFFd7MVd8Ok7l/FMKRvsFU8fmTPu0yvFp7a7NmQjPLFBM9eJhCPcm7lz//wA N4GZTeBOB2KjouMHdmdj7uVx0d2328HufVa03yUbOyKLjC8/aoNtuXXoD7Yc OHdufNT5thXp7BEV2ypyML+PS6eqqAW5cpJpV77nQs6gd59BeTNYm45U3lTM x8ui5biG8iZoVHBwb9hZiBOE5HXfjjTi+NtfIQ9ki3FM8eBZenM9XqhLJZAC SrBl09Hm+og6qOzOka8VL4PaIf/NxR9qMSLsNG75pxxxVczT3AU1iOz6MPSA uwovqoJmdnDU4AzziMisNcMfk7g1dDyrsfNDS8pX7nqse9o6/VSmGl3XK7bt s27E8EmPcz6LVfBaFyb55Gkz6Oy/arLaq2BCyD92n9SC/5YOvbpaW4X9hByu RNU2/NY0Rj6pCg8WbE1LKtuh4rGgrLZchcPP5+zfXiUhYFUs0PxwNYgyoqNG s51QSNzR5OxajcWwgeX6t93YyLNOkYdcDa0tkR2HGf8t80hMULJeDYRlwnLf k/qgM+o52zVQg97rHb7zNgPQCTTwkX5aC5E+m7d2fwbhwS6wR/tgHZZmLhCV c8m4c1SsKJWtHkVVqqp5XhREJDy3jfhbj4jeXV3flKj43MryYl9zA1ZPHU2a K6NC+/Jxvvq0Rpj4p1jynKJh2ablpHFEE8gxXkeDiTSwf77Kr3epGcNjVXxH N9GRM0/5U9bcjINVX/a3XqPjKMlbinatBeJO5048j6JjkPlHxsepFux+wFNz j6HLhjFHu3pvxn3oiOPqZxnChgvt38/ptoFIE/NzkBrCM0tiw3+S7Vi5yX4i WmUIJySK7zBv7UCEwLd007NDyGJ6xO7J4N/WFG2FL7JDqNCR7BCZI2ExX+DS Q74haBwLGDw804k7myXfp9DpqJY/psi22IX77g/6pOPpuDKv7ZHP1AO2jT0u JYZ0vAnq36Ch3otHRh9fu03REB8f8X3xQx9MkoI/vrKl4UDbn0qxsX6oufQ8 oZKpaN9/2ThbcRAhewmqD1WoGD2U2fHiLBlKSr7ih4Ip6LPzcpkaISORWMS0 qYeM5JdHCULeFOw1lqvezUPGlTeSj08IUxFHSAx/5TIAstuBM1yfqNCJo5c9 6OqD3fpLh6e30PDdzqvZZ08vOE5QiMUPaPhYc/4q4VY36s4oFeoV08CW7TOs SOjEtcmttwOXaFBV3r/Du7sDttKfFIP46OAdWJE6L9gOTXuV2zOMee7JwaAC s1Y4lVT36v2l4fbzOiXjdS04nTzsZtdKw25d8q+n5k242+L/TDOIhoEfRWJX huohEVzk/vYEDVvC5sRn3tfiQoFJoyMjV5Fb1fjJD6vhR1bcWa5PhcFG/wAD 70qMBTgP5jdQkEhSFd1TVw7vkBC3v3IUaG7lu/BVtQxaIZQe4xAyTDtlmxV+ lYB2ytDmcf8g9vsy+WzpKAYx7Dixz3sA1YcoDRl1RbD9vDNRQqIfsc5xxjS1 Qty5Rffd3doLNkpSg6xwARwEvNeorj2wWjWUd2XwY9UkcidZthsroyKux77k gS2waG18sRMlJuo7Eq7loX76RaB8FQl3lTeab9fLw97r1lzl3h2ILnD2K4nI A2/NiMCCYTssxTp4DzPeN/RPOLn9bBvW/bGxlpYowM7K7saf51pBmNeR+Gdf iCv2is025i149lFFL2JzMQyE1wceD2pGln7w/cvsJXh+0Uxk+lsTnJKz5a2U SuHIfZTH3qYR3APqpLX4MnieVr0cLtaA+zzfzjvGVcBzpUfbla8e8o9i+HVX qpBScJzee7oOaVbuN/STawFWWXpGXi2sXBKjxJQboJTH6jh9txa6vqyLk8FN 2MkvXM95rBYeCya23ewt2Nr6gFlPuBbLjaIL6hatEKqQNOURrMUVeZLnsZo2 yOYf/B4mWQuLlFfiXcodYAq/0qBuXAvx7JLIunIS1LNd3vtEM/JNi9Aaj3YX MkmlcoX/auEqbuZ0nNIN/YXL+28+rGPwutfMxq4XH2jn2ZZW69B811ijcrkP 4TTva6uf6mEYF9mg/3gAH5VW+dZfbsBs0qz2o5FByJ7joIUKNWJecob/XhQZ xEYjRZOFRlA/sr43PkNBxtGrQpNDTXCtFD79t5OCDSOvT847NCNsoG0fvykV soL6AX7SLXikbmaYuETFn0+KTp5lLThpR6jqv0rDKWH6oJh5K1jPLgv6x9PQ QzojLLexDQ++PtpROEyDUZR7zov0NsSBv4YoSEedAnFTF8PPPjqPFX5RYOSC RH61oT0dmCJY9B1g9AvGWR6FZmMdsNY0y0rXocO25sRkXgMJscqFWmvn6ZBX 2VJpntsJiayjMqek6ZDgGheITO3CP20JmiILHc/enw1JIHbjU+rNJ9mNNAw9 PijwKrEHi5dms238aBhWEbGV+NoLvmFzKY7jNDhv2qqonPM/7nO2HOuigv8j 24kqzgE8MNwoeEqTiqVxO98Bi0GonR8RPJtOYfTBKipRBmSE3S/y8N1Iwfnl 6liXFQaPftrwGV0gI1R+563EEAoOb7jSbfR3APu3ZvDO7KUihv1pmrl2Pzi4 aa4lCVS8H/n2ID+gF+fHNyhrCNFQeOamkHhhN0ZnT90PZ/BImUW09xC1E2/6 jCxKvtLg8Dp29QITCdYln9SFGDw5SVPwKBNvx6toofE9HTTwuIt20JJa8dbq d61LCQ1vq/lDk061IPjUk5PuITToM+3WiypsQqPJtl2HdWng1g/1e3KgARzD oX5nV6gwk9phkFpai0SrFqLEayq2GawYJgVUw666tnMDBxUh2z3eKbyvxEiz 2r3RdxQG55Wc6oUrYCVie0+eh4J9hRciY6rKcCN5u0GXLxlium75phGlqJM1 XLWbHwTTmKc4Zxij/45Po3s1DOBvzs4G3fxi+Id7/Xgb0w97MQ6uMKZicA9J nll53AcXniVpdVIh9NyVZqov92KPZW6412gB2p9x/Bcv2YPIyfAjOfIFSGjN /NfN3Y3+4J57YuX50ClfMVH/1wkLfU35p775oA4Orf9TTYIOD1mEzy8ftLGo d9ExHQhloi5xduTj3XPCtqTAdnDcLLs7fK8AtCWVmg1BbViOnDx8TrMQ1l/C U0/EtcLRi5l12qUIOW0evu8bWlBlYiLU7FqMkoqb4nybW3CTalf0+E4Jhl3P HHxn1Ixpo+AIbtdSXEoYkHp8vgnS9W1NlUzl2Nj5+nojdyM4I/MNLtdXQO6e 9pavXA04q1SlpzVQhW+/d5q8UK4HzwTzRb8Ttfj4yLQuNboOf0zSNqsz/GKv 7WEfH9k66NbceJPT0wQOYcsgp1+16BA0uSji34IWWsXwPLkWg6GiM5YX27B4 t7vA43ctHG2UNiyId0BnXdXrAoU6PDyXa53Ex8ihaj7bMvzrcKI98pj21y7U DRhH5C7X4T7T2MGzmj14Psd26fDzenRZ2GSSR3uxvpRu57KzAX6yzxPuOvdj qPD8KGdnA0azeHsvrg3gxYl6XcP4Roy7SjvvkyPj5u7r433+TejlNoq7QyEj cCL8HqdqM+I36jc8dKUgz6lYpL6xGYfVg8pz2KkwStdRt77RgtT1ZlN8vlRw rUY5pDO1wkS75VXFHBXKJtv5jJJbgQf1xXcu0jBuNR8lat6Guaj88QmGr3IN NhimibZj/m+tuGslDY1Uayt2gQ5oHWV/ZjZNQ++t8QC57SQQJSIVlRk+PX/j jLaadCdCVNs6jH7RcDqh6OFuzS5wJbJtX8/oo7xnfdYcnLpxYuEz3ecTDVET y/hM7AGstK8oatGg1szLlULtRWL/hswr01RYKJiZaezqR86wwsDfZ1TsYp/Q 7KwewOzVtBrTWgr2sFZe0GPUJVpP5788BjeWnJYVRRn9SbsfoayKlwwHDw5P /iJGnlFn0d0mMQDzG2rnao9QcVZjpHa4vA8O1Uz1VEaeyf/TuD+PoYt3uvPt 4r8ZfGFJ/G3X0o3YQ2xzF1RpOGLmHaGu3gWyU+0+NncaAsrvMS8VksDdcStL lpEzTyk+PO1/tAMLUR9d+vNoeEa9Ze6Y3IbDd7Kn7/+g4bGNpY+BVCuWelv6 G8NocJfM300uaMYhw3tC727RELrZTlK4qBGEs0ahbAx+UVU2MlOl6nGITzj9 YgYVvz96O8+21MA5yW1KRYGKZt6kF3YpVWh0EeqRraRgfdclRSX+Slzd3m24 5zwFPtx6HFnx5fDQyx9ZX0LG1KuU9SMWZTjjzJxKOkJG5Lv0zdLnSvF05qql KQZxVP8S8w2dEqgbSWZu5R1A4dsW8z9exSDEyvq50fswZJIr7ZBdBDVh4aat P3pR2SgelJVcCF2loqLK1z3Yotu3VZ9WANPYZjWFe90oEmdlu2RYgBMOrY3B DB/uDXqhxc5RgJsJ3GMbxDrh6nA7xHQlH/15IYEj60nwN+4jSB8twJyYjlDW XDvCXylwlKcXgMNz838OC234+u1yjrVzIUKc1sdUb25DTrh4rMurIoheS8ne crQVW1V3Cwo6FMNh7LXPLZsWnOLseF56oQTt75I3FuY3g2f1emvw+VLIRrxk Dl/fjIecbDvrvpZBSvrvVcOSRswc4chbNqzALe8mk/D0BkQc0SkJVqtCamha b0hHPYY6lsIePKvB6S1ThnX76+GrIL7p2J86bL7TlZeVWIf8lZ7blcWNuNJm eb/bsA6VJwkXu4eb8YjVz7yAwZcZuVCettetWL6dsLjM4IUKP8WTVbsd0xV7 7OTu1OGIwBt/t4MkbCJHeEgU1mHc+YzBN54ufGB5Lam3sx5mTJc5JQndoKt1 /2gLZfSTm1Vlnx7qxRlutgqBgw3Y9SOqxSa9Dypak2bBrQ3YJqfpMXRoANIe aiYNQY0Iu1VvuRIyCK8uJReV24zcPHMmfLsjGUYNocFKB5pxpVL/gzEfBTUL Gx28iM3wrFRlJsRS0Gj3aq+CbAs8nnzOihWnwvKvgJ5YTQtWTVtEvEKoYKmK C99wpxUFEfuVUxepKPfVnQ/f2gbWsXeLZIZuGG1IR0JpG6ynjP22e9Fg+2FB scelHTJXSWofvjF8MytDT8amAzM738zNMXzY/svTW5N3SeD0pBq399Fwwv52 qOzDTsh8hcPFZhqkFUxdLz/qwhuu6/G8jP2ijrL3c9y6sfChW+OfGw3/B+aL +4I= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwVV3lYTG0fTgteW2hVJJFCi7SIcIu0CElKaKEsEUol2kMkZWmhbCVJvSVR yr4VaW9mzqznzEylUqjeqJClvuf7q+t3zel6nnN+9zrLJ2DTblkZGZlno2Rk /v/X3836xvT7NBLaTqQMO1OYs8Sif3cZjdmbXJ5kelDYpeV2a95zGlEa/5ob 7aGgOvf0udS3NFLomk25hyjcPLXpum4jjcbt6xbbH6FwqODOD0MRjfbZhpJR 4RTWD89cX91OY+/f3mf6kRRSC4NPnumjkb37pEtGBIX2QpWxw79p/Im2mGB7 jIKNa4f40WgGKzmHLFYFUdh/+a7QfjKDnJzxfx7to1A2JOp3VGdQWaiGbi8K wUVBR/20GEQGLwuw2kRhbUi+1FWHgfWecj9VGwqIUlvePJvBonaZ6GEzCnsn bRvqIL/7WBuwYnUpFB3+VOY7k8HTT7bzTVQpPB22Xe0/jcGr6EcJt8dQWNYc kdM4kUF0gaZwxXcOtmS4Zj0fpjFkabf1RBcH3n+eXNHrobGGk7woopmDVK3B KnOaRs/Yq1+/MBz8DvtkaPiexq3WOeUrpBwEN2nO8STfV69sU1jERw6MlKbO GHOHfK+sHCebAQ4+e/8bbn+VRpHVjk+C0RSuHPPLE6TRMD5wPTtZhcJ9f2/3 gmQaF4odJl0k96+MtC5qv0jj7+Q1odssKETN7ijJSKExddbyfw/ZUbg0EnLt 3WXy/NgWno07hRMH5UO33KCR6K1W4uJHodfRcr8eOf/L5sm08lEKIWl/tpqW 0ihcsCbO/DSFjEMmozMqaNSpuxdNTqGgpS4NfUrR8L3IqRp7lUKiQqiks4OG c0Zub/4NCpyRTguPnzQGlScdKbxOQVr1YshhHIOlJx44DF+mcCMlKP2DBoMb Zs8mvkuiUBe0/n6oPgMFnRlqR2LIfgL/TssxZRCoeYjbS/DV62k61GnFwO5d am7ldoK3vqwS6UoGpX0pfdm2FPQDno/HKgbfV36o3rCQgnqV/ZI2MPjZpn0n cxrBh25Qeu0SBqnZtUcPylF4755u+WUhgwfD1M4xfRy8mvolzFiXwWjv/bnB ZD8T3GqVe1QZ5Nnu2b+hiYOtowPvJxM8mo34J+tUcmBhn7Ula4DGnGBKdfdT DibG/dbOb6XRRf1QOlzGwa1dFYsdCB8Gg/aGxT3kYKGJ0tj4xzTqB2/eOPWY gyhF1+uyt2msDq5mWt5wsLtUUnSL7PPVFt4UVxYH24/Hf11yggb7e26VXxs5 f9eUxdGh5LyNYTj4i4NPS71EMgE0lrpFcE8qUzizsuWB/gEaS565H80l77/s yM6V1w4SvGmrZdxxoLDh2p/oB0E0fs7yW3HWh8LqaYtqXCNojB3c03qS8LO1 sOOhWzwNl+g+uZqLFCZJ3vXsJXj5qNX6J/02hdkzUl/NzifvJ3e5bEUZhUUq pU4TiR5YXx/WmFVBwfFdz8/bBA+b27t3OtdRSHq5YYNrN43e5qmmvY0U4joG BJYKDMLtthwtqacQc/104I4ZDAIemK5MeUshod+ihCH7rt0wOvR5OeF77/4x FXYMXnSvUbqaQ/DVfFlpmTuD6eEbv9YmUvAyXtUft4tBx76zspaB5D4uyplK Bxhoq5zcWU30yzjKfWLEIQaKjlu5aSYEP3kT/GL8GWzOCm+tm0zwvDjcT8OX wer72hfukP0f2lh6MMqVgb0i+50Hh4Np/xn8mbyawcia/LppjzgYnmYo/8WQ QVfAqGjzbLJ/h12jHqkw0POp3/70AgdxkvkBS4l+ravRWuF8kuxL6/SETc00 jJzGXYiM5KDPZlfPJ8IfZ0X+69QIDpb3XZ44SPj27cn0j69iyT77T9btSqKR acQ6NpTIQcjafu29wTTeFV948O8NDlRM0rWqPAk/LesfqxN8rTixJHHjOhpn j9745xqbA+vUKQkloBHSN22cyzcOijdzVAMtaXwwTb9hQfQMbzZ2tVjQkFFS TlVdRvil5p1iaEX0N8xYmkfw0DdTXznbhoZ7//2KK4TvB88N79F2oVH+7ODa qnwKUxfHO7nuodHZLus9pprs46/XmrdRNOQMde3t2iic/NzW2JhB9Mv+Ys3Z IQoHhoqelpcTPbz4Mf/XP1xcOD0et/g0gt8x87qVuMhJLjajh2jQnoOvRKpc XH4oR00leHDcKFOUMoULp9e6T8YQ/pZ5i0o15bko8i/yC/ZisO3tIWl1L4Wd 4WJVzXAGnskbI6w4FCy/nJnPXGTQ3vn3P49ioo+/q7tKswl+DrBvuMVT+G1U ZZVYSPTA3/16hCcFE/O0yCf3GNxecPZgDMHHuUsvVgwUMHi+QvZxozyFSDZ/ jfFNsu/t7edahBycy724NOs8A6OvRurzizm4tG932pNQBn6eV45OTeDgw04Z P5OtxD8yV3t37uXg+c5Lh1SNiN+8m0852RF8KN2PEv+l4TX9gWKvCQczZRK6 BmtpKJQvjVefx4HVm9L7I+k0ggTjulINORiMEqVf20ujw+pdXDw4WFOQ1eC4 jEbuMumYo14cOA8fi9ukTiNDsPtfa3L+Zh2Jqqos4X+ZWPithAN/y4bOlG8i mNpGawy1cpDGbVzu+VmEHWe8yr4RvRg0/b2X80kE36gXPhvXEn8X3kpU/SrC B8lDrx2xFGS2ce4pydDQkLD+3U74PkL1tYSp0pjV95/OkU4KzjmzYwJNaRze 0zESq8yFSk/GugNuNHjjfxn5WnEhE1XjeSKahjb70LSCbVw8GvFLu1pA/OlE v+6Mw1xoKNkPh5B88D248kVNFBeuSZ9O3/+HgaVGDjUxlosklq02RfTaP0m6 J+soF09NHv9Yu5/sf8YY3xhfLir8POoXpzMw/fugf70NF2Ofx5m2vmRgs9EF 3zW4+Hy0V7awmQE1c6l2VReFT/Vv9+r9ZBDUp7/Jh+Cjds7j//THiJFW3bL4 EdGPrb4x26jxYii8ndDy0YjC3Yb8x5MUxPhcMt+cR/zdzt0nbvU3Bt7d49aF 3+aAXSGd20kxiH3QcD58FwdPOxaKBgl+tonKy10XcCDovbP+0zEGbfvuFzv9 ZmM5Wz49j+A5UF7ziQefja/PDAr8RzF4Gx03Z8pLNpT7zQzUiT5szNUwyi9l Q5ejOecV0X/VMPHR6Y/YeD4ne0/lGhr//Z2xLqeajaUNLSYHJ9KY+/jt49+d bKR+lc/lMiL8vHnP54AyB66+jWqsEhH6FjnHV67jYKOhYszHVBFiG3PrthK9 qr5sUYkTIqjpxU46RfwtlJUy60KYCPHfuu1MCT66Yoe/zw0XYff55w+yiN9+ DT7BmhUnwqa1kWNbiB7LL7u1xSddhDz1Fau/fiZ+suEVnVoqwumXwoNVRlwo nTL3WCAUIXGpzsStB7lI2OertU+exvk1nICnt7n4NTj+2bbFNHb9KO+eQ3HR bWvISIifJdwx3jPhBxeJE14kOF4n+N5/T0NhHA+a+9ZPCCV8ed9Xk22qykPM zrjJr4h+SO7V2W7Q5OHNH3+jmHkM6ncXdulNI89XmKaOIXz0Gn914gNFHu4k T9G6Hc/gdYjY/ucwFw25gbouuQwGW2X15/dxEdkRelmjguRHJY7RbikX+aXC j1USBtkXV2pX1HBRsMV7ti7Bj5et6JNXCReKNR/XyE0RY+htqqdXBhctjFgr S1WMWK0L+u3JXLx2C9ivM10MI7WtBXaJXGSwjycmzRJjn+2R4IQ4LtLq9TrF c8UIW6WvVkDw38PeF+OrJ8YOtZfbfkZy4Td7hPpE5lv75zja/n/Oet0eoC9G evSJrtQILvLi9MQlZD7jE3JrKZn1PS5UDJI5XPmeXWs4F9u+j3piOU+M3lKr 2Hgy+3XbZ0aQOfm1wm1DMovUj9iOmi+G8bvpFWFhXCyfVfvvaTKvvb7+3Ltj 5PcK7erxC8SIcnitMIXM0qTJ8gsXEr4YOKl8C+Ti1sb825bmYkidrx0v3ceF 7PQlyrpLxWiJvfTF1YeL3Ut8Xw6sEKM0/PcPEeE//tEKuOQsxodFSzivlhI/ uJfipekjxrHkvlRGnejBvbZ8n0Ax4g0ak3YMUpDd1nVqbaQY79S/P49jEX2+ uqK47JSY+GJjYmwBBYliY37SBXLf9tCnX0gfcFuZd1shRQynNa7XmvVIHonc feBzkhjaQcOlhzs4uKxrenZerBhxuuyuJzkcTFk7Z53QX4y5e28FNfhysKBL bq/pRjGOzH9q/nQuB9N50f/4kf3cnBhZvLaNDc6lQ39e9zMYv/97quQOGzHn cqr8nzBwL5pWIA1iw8T+ysImwvczv/v6E+3ZyHXRmhFD8sypwkWpffpsbJo9 Q8H4Cw3/6cqjW5XZOO58831ONuH3B+v9PyewMelP4aNcdxqjcr2iLk9hQ+Dz Iql/CslvU7JHSXXYaL7eXmfRJMLOgd51pSvZ2GiVdk4xQQSW/7WiDeT82TLW Ph7rRDinM+uwGdGPJZNtXL5oiHA/6QMGR3FwoK2ebfJdiLW7Xe8WenCw+M9d N/tmIQ7IVziPvOYgINIqpYsvxNVUzkMDAwo9c1P9DkqEMJw0aKx0jfSjF5kK 3G9CuFtvznEYR/R1+ZRTL1RF0AunuEtCufB8F80LtBfhbMuSCGuG4MfBqUR8 WoSWSj9lgTkPs8xN3lxhiSC7THP0/RM87PYon9Izm+TjqxfWdbzk4YT5twN1 xC/un83WU+7i4fxaLUWplMbIuJ+vjv3hwXjCrbMJ1gzSnr8OH/Wbh7Cxm4t+ 5JC89/XfI9vaiB6sv2OrK0fw17bA5msZD4Nb6i4NbBej5E3W/q/BPBR3nJcf uCdG9oUrkSc1eLh14PWvoX4x3twbSPYq5sJg1jgDtp4EVRtkX2tYkPs7fzB4 aSdBg5etn7CEgpr+j9BiZwn27bDMVptPYfqAi/p1ewkUb4wcv/aEA8fXzsf4 xhIUqrkkznfk4Hz829ycMRKI5ywIsW9l4/BbDL9hieHrYMnbGs3G/iLc3U3w mVOSZX95DhtpCvlNRsvEKOIt0PzLY0HP+6WJxgcGPd3jv69LY4EVXB91MJbB /cZPR4d3sJC/VL7oJumnu4dl91kvZ+FU2KOttqS/eynocX/PY0Hd6fKTAVsa 5g+V59fqsXD+6Oi7C1tE2LLzTuyIBQsvbNs7t0eL8O5N+pzcLSwoN7cI7swW Yb+n67djCSyst1daM5ojhEH9NIfPdSxYWiYlGyQKkUXvolS02Pi5fGLCaQch Hj3WHxpJYoP/vLPLbpoQr8oPJa+ewIGtlx03+7cA25M0l3RkcKBH6yq4fBXg muKTbU7GFB58jre6+0uAS82Vs71JXwjJq65IUxMi2d1oT5QfF1luvuvP2wnx PiD9buUoHoJUIuseJQhx/kW2YEEKj9w7Nam4QQgLv3kj/43w4H5kwOLwdBFW VU24ELaTj/PdGqkfQkTQSFPxcHvIB10jO+EZTwQZK3mlXd/5CF8Uln5yOQ0O pfu+RVcAecuzcukkn3T+6ko+ai3AdMf4/3Q0Gbh1ii0d7AVoMjuXF3uLAbta wbLTTIA/9Yez3YjeylVpTu2TE2Dy+13zq/PFuBi2J/hcOR/yV2yj62dKwN6a 97lhAx82N/TuOCZIcKx8dGFqEw/xPmfMbFolKOhMlotexkN+tWby0GwpZrW1 HWq4wsXPDQ8V522Q4mLu6ArrbtKnOnnuqzylqPfRcf5mSWFOsS3n3mYp8nVX 8rn5HJjbPs51WSLFJEHQaBVNDlapTpqxebwUy1A8wTmFjajhTjm3Oglujqwd q0D0RcOk92psuATWLV13o66w4FzheD5EQ4J52Q5XGgxZKF+mdXV5kRg/eo/N T8pqwl/V5XPKyft2XLkgI+1vROI996q8q6R/jxSM8gxshOulxjH1pB8//8Xt yVFrRHPuXI+uQBor6hvq0r80YPz9maX/ikXYHjSQHtrTAP4Z+TWn14sQsi/u 2YcZjeAe/vHhTpUQZ/MCWZ2RjXjxbNYnwVohPl6+e+D7P01Q6czTPS4W4E6d zRZ+ZROkQXuP5UQJMG3i52n2m1k4/Y/jY9pYAL6uVlk+zcKOs/f9fQb4iO50 dNQLZmN13t0J0+v5kBTek3Ul3+c9i2669IiPDM/EhYtI345zG5k7hczfJxRX Gp0nfaZz7ZEztXxcMqyaZe7MRS938HrpVz4GU3XLXivzoOO7yWy8gQCuabbS EYqH0ecM19ceEwCBEx1HEvg42ZbZ1MsX4JnvxsWMiQATbS1kDy4UQnGZ1ffP RQKwBt0OyqQJsToi3aRfQwi3mHd5j2VEWCSyuycJFWJ7TMTxU0dEiDsT4dL+ SgipgswFc5LPM4xVz18dEGK8wY/aENLn6dBAy34lEYJfjAms+0FDPq4vbPUM EdQ1E0J8rzAQXNm/asN44hO//EzirMR43v703gRaCPVj09v6aDF4cqbPA84K sS1WqGUUIsGNXV271LSEKNg/rHheTor20DOWdukC5Fp46q8+JYW5edlY+icf vw9oW4QPSvHsQ/JmM1s+OqPanSM3NiPl7af9Zid5eCxJsxGmNAPJN79qPeTC Zm+DKPlJM6aa1J45LaFgtcpKZ3NFM+Lo1EZD0rcyixzOK5Y0w8bo20VDFw7w pcbJLqkZhWOn6xgSv83J8Dac59wMuyoX53sjLNzd63fHb1QzrIdv/zPOh4X0 wjcGKzKlENn82Vyd2YTtM18t854nRcvxAxdsUhvho6LA/HdbArumf5fW325A ya77ph1yEth+NRnfWFEPgUtTdaEb0d+YVZHO4+pxOyJjmiHpj3ouh/sSo+oQ tlV41ruTRsvCkOfqWnXInLwlUtuQxsdzldkqPbW4dd5vrEqoCFNPWDsu/1KL dlk5Xso7Ifbc5L/5rV4Hq1/W2snku4ak3H0ZFlqHJwNGLtknCT7kxvy9LlcP ZV+V+h6iSxlvBdw/r+rBC1bZvDycj9yVpal1BQ2o3hr0cGgSH9yc0fPLKxpx xvb0JMtyHmCbGSqVZaFog0T8JpCHSbvOF8U9ZmGj8fSGGeDBYUnzV59YNsok WzrSZ/EwYQ2nengLB98vJmXaq/Og98JRYLOMgvsfQZXGbB5Mys0iEuZxMbc4 YxrLmoe2xNMLLpF8rehBJ8qH8EDXtrm+mMiHOCLOZeETHjykBxrH/uajd1RV Sf5kPtZ9GWPmKRXgP5HRZu09fPDMGmNkLwgRMGOjqcx7Pm4U6peWLSI91Ovv 8uJFApxc9bD2W5UI/ASvH7H5ApSpfL0V6kDD75waXaonRGt60ULCbGRn2UQF FAuROs+rt2kKg1+eS49XrBDBoEc9/+VmBp5+1uPK/6FxbLNzzdUE0tsz1Xnz yf9NK7+yyCmNgfrVtIXtpD8ueqt8Y+JxBt2a66WCmWJoxnvKGm9k8NC/xOMd l+TLM6NaI2UZlOz8u8E8XgLVzPVn9a/QCB9nMRRuJsUmjyWsShUad9NC4x6L pIi/3qRuRXrS01dD1R+Dm+GwO7uGVS1EcMEqn9aRZszv9jw4TV6I3zFTxFbL W0Atqyz7YSTAKfGXx9aBLdByylqUvo4PJ45w4Yn0FthE2MXs2sGD4Xir4psP WtAbavVo1CEuZocEuIe+aMF0vZJNFmEUZnHGdcx52oK/0YNa9CmyT6eMk/p5 LeBW2zLP0ok/7zCp3hPXgooE6+G4EhZmDX27bLmpBQ3CyoVLS5tQocxaenBK C6LYX/gztRtx86bp1MTTzeg4U1nz7X49dms/72vgSLFVypk5sK8OLaPkj14g frKe9/rl/g21iIp5mKbjIYHPvRrX8PgaRHif6JbNFWNSzne/kJZqKB14Lqzs Iv2qZ253/9ZqvNU36usm/exVd7WH+8B7qHt/tfm8n/RXb8c1guL3KMxpnyBz T4T6lce3JiW9R3WP8X3rQSFYyq9/nz77HjeeLDvRZiTESLnep0DyvHDhoyVL gwSQiRw3veQvmY87jTJ8w4dsoXyz/5FqRCpPqHSawUdDekpIpWoNci+3OXyK 5+G1s5kar7UGlgW27F8kV3iUVURn8WuxfPZHI/skLnzP/rnTNVAHzh7ed289 LuztFEfPWNaATYdPL8ihKBi7BXfML2yEpsdus3XJFF7s+K1hpE3y2HidHyE7 SA+Rs+jP+MPCnJ5XY6ZbU9jn322s84mNnUaN/fqmFFoz2lIut3GglHVs7ifi 4zX9Y05maJC8Q9OjA90o3BuwlP2wnYdga9u/ATEUih/+U7THl4+ijxEfdzyi EHZxmN22T4C4obCu9r8UxG981E76C/FurZ9f6iYu9mtOafTeJcJc/R8pP4nu lly65ZO3kUZvtkxi2hwelJtGJz02IHsJqNCgb5L5e48jBhkYjOmWNZzHx/Rm 5yTHPDEMT93mNz/nIzPzxeKdKyUwMvkUZLJdgKvmDk7HX0rwJo81ea2cEGN6 zDwMtKWorPulPVAnxKSq+0VK/lIEqD0N88wUQXtd39KkC1LE9v68V3mMRuK+ vUFR56QY5931U5f08/aHI1d37ZYS321YumK5GHeenJVfqS5F6eyRZ+E6Eijl 6mpG5UkwdstUyyEFKS5Z1vI+K0twfrmCTly7FPaJ7bIPSI/0yozQS33aDFON TM91qQwyQufIGOxpwfOmda+XONLY435k0g9JC+SzvtncFQmxrtfQRQ6tyC8z DvAi+e7RvpXfHp8kMzV2gestHnYejF5+6FYrhgLCaRXi/6NKG65eL2hFV87Q tmcyFHTWKp5mrrbi0vD89jOP2HhbjOung1phMnjSOz2ChcbXauYtJq3Q1b7d Py23EYpN36J16BY4OO0bKTpRj4IVrXVhB1vw4V1ndnt6LTp6v+fcmtyC1fUR mlznGnh7O6t9udCM93lmhS0R1dDmpnpJvktx3mFsidmT9/gfyKMbhQ== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.41999999999999993`, 0.29999999999999993`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.43999999999999995`, 0.31999999999999995`}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.32499999999999996`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVte2t9EQKypqrETUa4lRRGMUS5Rlr9hj12iwexQb1misGLsCSjzI UYzdoGIF64sNEVFpSlUpgvQioILtnm+M95n7G9txB9eTc757v3vzF+MZa83N /u299lpzrrnmW99+9pDJJU1MTL4tbWLyf/6u/Om9taVTjOHHG2sM4zp6q+5X HR56DwsTrlTy6qt1dv7CIy2XVjl1/rAw9qN7PY7x63Jd7GHsYexh7E2Pv44Y MjlI7GHsYexh7EeULTdjXvcwsYexh7GH/ZNKPB6bcFZZXa4x7bvhkWrsLM/6 ZYMDhdPyxqfN/fWhMP1LzG40xXTaY+kP0x+mf/r2WqeTO8ZLf5j+MP2Hzaj3 zd1bidIfpj9Mf0O3r7xPDkiW/jDtX9exbrEjIkXaYdpdX7Y+sXhCuvC7B981 H5eaqRI8bFZPnRVheLJwX4UWE3cpO0P/wfk/3Rfm+cMHN4zt+G2Hy8Ktj284 XKaii7qeYJ46/N5DVc/bPGC353Vh2t12Wj6v+zRa2VXb1enSihBpXx/61a9N TkZ9xPTHfmZvq6SUnKfSDtPu+c4jd+SqBOFyEfvndCqXJOzofSy7vutz+f+0 w7TT/8mGUw6lvkwT7j3RNzPtQIboo53nre9/uqNh5oPm2TJeeV6MV5jxCvN+ 9M9PP35pZ7zonx/9sWe80g7TzviEGX8w443nBdPOeIMZbzwvmHbG327Tt65u m8LUpC2Tty/0SlJXt0Y6DvH1V+06z9+qrqapZdtmLB81fouhZv2M1V8POyRs tnDL0Wfrw1XVwc9KPZ18VI1c987ObVOWPD/e12f7nW0CK19RWV4v750qmaEi rm3K/OxSjFo0cEeTO5Uj1Deb3SO7LokyWJ04Nsxqzhzlejy02eYfHwoX3C+3 4mGfEOETcU4HOk0KFOb7gOc2eNk3uPV14WlBQQm3yp0V5vsp9/XeS9njL8r7 h9Fns9D5SuMB54Sfxnhd8J1rEPsWRWlRG4beFnuY/jfrPRt9MPCmsHtY7kiH 2Dtin9His/Qtl4LFHqa/w7oPw9tm3Rf+zWNdUxOTUJkv6A8z3/I8eT88T5j5 BXsYe543/XneMM8bRg/2PH/aef4w7z++ye7Dx92jZDwzf/A9we0Tb3Tuvz9C 9ewVE1L3abxw0ZkfKrs0SJTxxXjjebF+wqyHMOsbzP3DjBfuj++R78W7XsIg 02nPpJ35kPuHud/t0SNcjrvHyffIfMd8Ahf1m3bf8Py+uj9lZqUxbVJk/vL/ xZCxwi7JlvkLZvzA9K87YOKhz+6Fy3wH0x/me4W5Hxg98BPzVbvSXsfI/Obd 48q2qg1iPlqfV5btXGPgh2dqyqm9Vw8Fh8l8VbKM78wm4bc+Wg9vNHi5wDcz U/kVBvrVMotVVqWPjijRPUL9HDF4W5kx4aooYWT2mYwk1fn55nvR12+rK1MP D1/7/O/z07V1NxZ3jrCttDbydNaMjcLRw9InzA/YJxwe43x/1Q4f4c4LvY6M a3ZFeMfQSYmhmbeEAz3nBne+ECC8J9Yw+3SZYOEOa3pOme4QospHWS4yeX1Q nR5nUTMmKFzazW2+n9Rq5SPV8vG+Ur+UjzLQvmPs3Xe9HjwUzq9b5Xit2GBh b9tFvc+pu8J8b/CcW6aHR466Jjxz/cmm566dEy413vHnCwFX5X4ut3weHB17 66P769015i/draKFn6X8aP/GOUa9PTpqXtsbD6S/+7DPrkfXCRPu4HK5StnK kcKPqrha9O4f89H1LQtSplewfSr8+F7blgmD49SuuuUNp3ZFqx0huxf2mKC1 Fw598236VwnCvQ7bnvSPTlDdO9m33OoVqTpe2fa+2zcJap5dt9wFdyPU+KUD 5/xbjUTpP7F5yTMPvJ8Jn1rZw/r3iUnC90qVbXW2/XNhi9F2x7dlPFejQyLj 9214KP7I5usuJTO6hao+psmBE4Zr/dvGVTq163qqsNO3Q60cF2jjb9+F6i2X 98sQzjYb/fvI9xnyPfX2j9i8p16aun/1feqseM1feV9j01H7ftfUWi8T12pz NPvyrnVO/hieJTwqeULTTr9kq5JbunTxqLxP/JvWO34yXVIn6Sr+C/1l/jOy zH9GlvnPyDL/GZnvG+b7hvFXzNS29B0rosR/wb9Zv6JJ0+Yl4qU/8yfMfADj v8TmTN5uv/6B+DPMr94BtcdOCtHeh96/6XpqSL/n9bXnh3/TpNv08s1WPlRr q8y6OK+yNh5GZGQceBp/TFncOep2Jczro/H7ZFp4xvi/z9suB03fF3o9Us4z XM9etnimto877dUo+p7yiU6MqTgoVRW121zd6U2g8qrr96BvtTRVauLEtkmF Z1Xql4ucW6RnyvUOjO2f1P9VmApq2/nJ9E075XsN8o1Y1jPhd5Vq7n2h3YEs 1Xtfk6l2d46LP4U9/iXrE/a+jY/eyFt5TgWvc6xd/XGmCk/odTPk8SXVpkuL aXYtMjV/WKeP9XhO8szMgWbnxB/MuJC01q16rPizHqP7O5w1j1UVvee8Ph/7 SM076NW5+pEYiQ/cqoeO8nKMUTsujx5Y4u/rQscW8wLaTIhR3WdMcnwwJlZt bfDD/JQZ0bIeVkys8NW8ftHq7dbZnaKbxCnLv/XrujxR8/+9nJdW/vl6iBrs N3zR/cNaPBAcbV7P3zlb/B3WuwFml9OmJ0YZWt7e1NswzNP2C7Ml/haVNF7Y /FStya/Chb2b53c6c/ehMP4P16sy0Mr57ZkQaY8ckDrzxNNg4XlxXVdmb7sj nBYXELCp3V1h5msY/4jrezVoP9uy7A1pt2lwpvHqCdeEs+72dP/a/rRwQtCQ ZvZnzgnzvYu/anyfu8ydve6WPqN9X57Dk8rG+sn8IP6psb0gc2LoosM3hKeX mhe/+0Og9Bd/1Ni+d+iK+2Xv3hMud94/y81Z80fxD1p953rsfbK23rm8jxoV nBcuzPOm/8vlnw129gmRdq/VO0z8198R5vnRf96q51m9zG9I+yTzNPdHQ08L Mx/Q3+T5iazo0Zdk/Ptl3KkZ6HpbGL2MZ/QtrTQmsXrZKOGzFglpTc7FynzE 9V9nLmza2+y+XM/jTP7kIYXaesl8SP92re86OLeJkPYJwS3tHKNiVM7kpmvD folSa2ef2BMVHqMsTd/dOX4sSu6P74f7GXB9WvzT2k+EezxflL84MU7dH+i7 1yonWtnWDEl5aP1E7PGn6e/c4dLs7920+fmk38/zx81MVFa7Br2u+WOk+N/l nL5cUzQ7St2pcH/YokHxyvzXrf0/941Qgzv5ub79OlGuz/rJ9d5UvZ7Vrq62 Htdyd3rRpSBJ+vO90z45M2BWnSPaerBm/ua5jX9OUcHbm7ZvXSNM+QQX/fAk KFlb74zrJ/0f+D/IKPGNtj5n2rnmlCudLv0lPjC2t/d89JfkC+naetDYfXb2 tky1cPLUStV+9Psofi1t832prRUy5Xqsv9jvX/I4LbBrljLzavb6w+e7lb+V yxA1OlstvPPjV94VIyR+IB4ovDYoZ3GnROXZ515cnSE75fv22dSh/aLaK4Uv B9Wus3jLQ3Wq1NfujUsnqe6NnueOd7mpHv2QXnnT8XRlWtTox9vRgWpc8oHu 3nXSlO2999fKb4hSpWs17Vvrm3hlYrsrL/eHYMXzZH7qEZbaMm2wr4F4ASZe gIkXYOwD6gYl1Gy2Xexh7GHs4cansrs99X8s8cM3PoYBjd8kCD/Y+cub2CrP hWc5Djzi2jRduPzQGsP6ds0Wfrgre6XJ8VzhhuuHRsT45gnPX+TT3OdmgfD1 KRZrXYJfCVceviJ6Vmyh8IQeiS37pLwRPtm61y8N898Jf2jw++MPHz4Iowf/ CD0wemD0wOiB0QOjB0YPjB4YPTB6YPTA6IHRgz+HHhg9MHpg9MDogdEDowdG D4weGD0wemD0wOjh+0MPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MHr0+9P4z+iD 0QejD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9+P/og9EHow9GH4w+GH0w+mD0 weiD0QejD0YfjD59foD4Bb0wemH0wuiF0QujF0YvjF4YvTB6YfTC6IXRC6MX Ri/xBXph9MLohdELoxdGL4xeGL0wemH0wuiF0QujF0YvzH7W2e/rP6rXPkf0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPqnXztQzXV5ruiH0Q+j H0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9FtaNxn2+fUXoh9GP4x+GP0w +mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRH+b++45FpfJFP4x+GP0w+mH0w+iH 0Q+jH0Y/jH4Y/TD6YfTD6IfRD6N/fekW4al9C0Q/jH4Y/TD6YfTD6IfRD6Mf Rj+Mfhj9MPph9MPoh9EPo9/W8XTVsdtein4Y/TD6YfTD6IfRD6MfRj+Mfhj9 MPph9MPoh9EPox9OuD3mdd/sONk/W3mowcESf4/bYEun9MG+lqnClyeeee9g kyncfN+Vh1UO5wgv217fKuv0C+GgFU6r71zNF649OzXyQOBL4Rk/9G+x8tFr Yd/+p5zGJBQJl+lULdYm663wCKslraoUvRdGjz6fzX4ATLzP+9Tn84nP2Y/R 5++Jnxkvsp9t3O+rWD6xYFRMjvDNRVPaBNV9Ibz4Waqj7aQ8YevBs856H8kX TrySk/dvmQXC+vGGPsYbzHiDGW8w4w1mvMGMN5jxBjPeYMYbzHiDGW/696Hf byc+4Pnjb/K88U94HqzXMOsXzHwOM7/BfO/k/yvkrdxcJjhb9jfIj5LPXBuW PeDeklTZT2F/m++F/TfeD0y+2K7kb41dGsRKf/bD6A/Tn3wrz4f9JsYrTD6X fCv7jW1jPKZ7j/WS/QuY/fc59WJb1e98RnjrglWzLNv/ZmA/lP4w+x/sf9IO 087/h9FzPubIwYVeT+R+axelPEjJSZbn+VutpRUa9sqU/AD2vA/GB/0ZD4wX vk/JVxmZ8yCc36A//j3vl/MiMP15X+yXLPAc6n4x9Knk/2ln/4F29PL+iA/R g3724/T7Wf/ZfDnj5z/KbzM/0M78ADM/wMwPMPMDzPwAMz/AzA8w8wPM/AAz P8DM3/A/Kz+/uVmo9YE/kJ8PvRhT37/Q2wAHdV69LfzWIcOlrxrbfFcvTvbD y05zvjj6arzwqFJZCbltnwkf7jlqauVHScKvnp3bdmRginCPRvW/CMhMFd55 Y3nH8VMzhBM/S/X7+fMs4dohv+VvVDnCnedGnnevmCs8za9Uvyn9Xghvn9Cx wsLaecK+J2fs6zIiXzhuoOfEwY0LhEvtvf/qy4kvha2V6UWrVq+Eh29tNeC1 w2vhn62nmZexLRQ+sNztQNjSIuGgOkFTEvu8Ec6fWVR0Yt1b4S8rtLxyddg7 4e5jfxi80eW98Iy3rlXdf/wgrM/HF5dvLy5f/qn5bn0+m/HR0aZKjf0ncoQT np4JNy+TK5zz287h1fI0drNr+8UauxfChyrVcvulbZ6w3YWLQwu2azx6mcfD wp/yhU0a27pOfaixeWrdajP9CoTPu1wLjar1Uhh/Ama+1edPi8uPF5fv1ue3 me/06zf5UcnnGddzOY9hXM9h1nOY9Vyf79Xnz/X5DX3+4o/my/+f55eNz1PW d+PzqLguttuydeeE93xf4tfgkbsN/9vzz6zXrC+OuaMD3k96KvNJ+RobN1e3 SvhP5zeJj7jeiBEF5jaBiWJ/tGBw+3vdkoWJn+hf0ObKlYz459LeK7xW8pox adr5J2N8RX/XL5xm7C9Ml/ak0/EuHeZr6wHxF/13LTlU/ngZbX24HhC+d3EP bX0gPqN/yrRy9uu/0NYLc992L4cO1tYL4jfJB4908J1YT1s/Jhz2sGsxTls/ iO/ov65XaEVlpa0nJ9xM9pebrq0nxH/0f2RjM7l2O219ee80qTDJUVtfiA/F P2nsfqmgm7be2C0IGHhtpbbeED/K+6/2vnLIQG398Zhkdchjs7b+EF+Kf2Nq P81rjLYeZQzd/nbRLm090uevPzUfrc8XLw1yrukyQcvnFntexjgfEH/y/a/7 +sXZiMkau2WE2cQOypX+xKeyfrktyO9zTJt/7UaNWDhg5wvpT/wq61nJwm8v Z2n2Jv7R5/yi8qQ/8a2sb7OXzbf+VuPzrX4oaGVZIP2Jf2kfG/vhtOcijWfs jW990P6lxAsyXxWTr9afF4qcs9ZgaBKrfW/F5Kv1550+NX/N/cetGPRqupm2 n47/jz8P47/D+O8w/juM/w7jv8P47zD+O4z/DuO/w/jvMP47jP8Oo0+fP4fR B6MPRh+MPhh9MPpg9MHog9EHow9GH4w+mPiC84r4jzD6YfpznpH+MP1h+nPe kf4w/WH6cx6S/jD9Yak/MMaLxJ8w8SdM/AljT3yGPYw9jD2MPf4l9jD2MPYw 9nzv2MPYw9jD2BM/Yg9jD2MPY4//iz2MPYw9jD3xKvYw9jD2MPbMZ9jD2MPY w9jjj2MPYw9jD2OPv449jD1Mf/x5+sO049/LfqyuXgyWeipdO+cLpb5K1855 QuIZmHbOD9Kur1chPsL/lf1y4/3D+K8wz0/fznrN9ViP+X+stzwP5le+d70+ 5huY+QRmvkAfTDvzA+36+knun/cLs39G/Qn7q5zXZb2mfor1mXbmJzkPbuzP 9dk/5Prcr9QHGZ8P7dw/8RHXh7ke+5/sV1KvRDv7pejh+uxHwuw36v8/6wXx h+yvGln2V6kvNI5fyU8YmedFfRdMfRfxCNeHuT7xB+0w7cQbtMO0E1/QDtNO PCHxqJFpJ36gHaadeIF2mHbiA9ph2okHaIdpx/+nHaYdf592mHbmG+YDmO+D 8cB4ZDzo683YH2A+kPO7xvHO/jJM/oDxIfVvRub/8/3x/xi/+v/PfgP/X87n Gv8f+9cw+QjsiWewl/O5xv7Uu8HUu0n9onH/TeoXOX9r7E/+Baa+E3v2Q7CX 87jG/uyvw/r8CPt5Uj/LeVxjf/I9MPkB7InHsNfX75E/kPpHY34De/YLsZf9 Q2N/qZ8wMvkpqe+jvsXIUt9iZPwjWOpXjCz1K0bGH4HxL2C9v8B6RL3mIUOg 6ZhzGrN+s37RzvyqH4/4E9RbxrcoOaXTRm091K+P+BPUd7p5OB08eT9X/p9+ /cS/oJ60X9mySfWrausp6z/zLcz8Sj0s6x33Q71ox+QbTgutNP+H/089au6Q XrdS5ryQ/8f6zPdJfTLrBes7/5/1h/ujP/asBzDX39rI7E0Hy2C53vYXoy3M a4d/FL+wv4a/pM8vwcRrMPEaTLwGE6/BxGsw8RpMvAYTr8HEazDxGky8BhOv wcn5dyL2fRcj/o67Z/TntUvEfuTf/KvqT7F3+n1yXbdNmn/dy3dB/yOZ2vhp NNn1bSerPPXSz2yqbXKMKvretKZ/7VCVfHZm0y5FIWrPjfnW1y+dkP3df7R+ 9H32DJdWNSPV1e5dfa7OPq9qdl/gMTEkUnm2sWo1wulysfWlTa7lWu+cGq2e eZ+eVnO2f7H1pqYlStXasS5G5e60sWnW4kGx9afF1Wv+T6tPLa7+tLh60z9a T/pH60WLq/+8WLhxXOPk0zJ/JoSdPBB7K0Dmy+RBPkeKosI/incyNrWstvPK KfGP2e8rrl70aoWBFVcfiZL4h/n1xJOWnarYF19Pqq9/+tT60k+tH9XXh+rr Qcud3bu9T4qfrH+sn8E+23re6pKrOl5+0CtubbCsd5Kfqbe3tdf2F2qG45Kc n+0/Xp9jm82J6HktTz16GrzuoJ2PwbRfyd4tzHLVkclH9sbuuWuod9xl8JaR L5TD6bAvTFs9Mjg0LHu76s48dbVfo2Nzq96X93G2ZnWHgZcfqFlDGlWa2TH0 anH1qfp6MpNCqzPWZTwNm30ajms5Pkcda7TU89W6G4aoozvvrTqbq0x39684 Lz/EkNr8eFuf1y9Uw2UdnHc6RRsuTx89sYx1vnzPkdZLeiwfpO0v/0f1q90H HrSrc1eLN63K+ae+jnyk3rZp5nRIHVN+Te5uq57+UO2wSUwv57m72HpWZdno 5oD6YaK/uPrVpTMXLhhnEyrxhtccswEJsaFqR82CjpfcDxoaWlpsSOoXpkI9 L/bf9M7TsNr+ZpNDm6LFP7EfeafmlqvRyiW5fYdz+wNUxXu1is6WjlE3N2Vs 3XAxUGXcHG+xwDdG4oWG1k/v/i0uRp3d0nbR+ZQQiZ9ZH/X12J8Pyfm1ho+X vN/6gyIXHPri0EffH/XIxENcb+Nv5bOaT7+k9d9fY8WUi1eFi7Za/NVz823h 1Vt3DjJ9dkv9o/WifK/8/y8n/mbduH2EXG/4xKQhjhUihTvefhyy/vJD5bvz xL6DeW4qv8vxD00bxUr7xS4zYmIHxSh9/lDO49Rrtd512lNp77O9w6M5lnHC f12xx8quaYLwTx+W1W7kFy/s8XL6+jYukRLf+wctXjI7LkK99kifdub8WTVg 4cQTPoeiVK1+g5vbtb0u8T3//05W3ByToES53nOHkmu+snkm3PaHKVEluyYL 13rS/XZMRJIw8T/Xm3rvSB2fxOfS7tQ/sMWT/inCDztar7swKk3Y57KZo0t2 qjD7BVzvc685gbPepEt7AyuX2B2TM4TnW7xsNWdulvCw3eH1+pTWmP0Frjek h8d3LmVzpH3C58dvHrTVuMy7J7Ndu+dq46vj/eQVlTRmP4LrebY2cZlV7YW0 e+ebW6zqq/HIjK7+DoPyhHtbteo0xkJj9i+4Xk6DSSm96+dLu8kzx7ljh2t8 JObQl33HFgjvsnBztflKY/Y7uJ5t1QDbhs1fSvuAsMjbbe01fhlYbn6jaa+E k8sVpVb+VmP2R7je1pJWOz+0ey3te653tKzqoHHPiw53TBwLhW2KxnXOtNWY /RSuF5u7LT26e5G0Z5zydMxaovGOo6F1Y1e8EV6bes0toK/G7L9wPav4vC7n B73Vvs99pnfvOGn8bJfNQp9N74TDIxtl7h+uMfs1XG9Z8IhdzmPfS/vG7dPq H3TWuNV69yCXXz8INwzY0G2Fvcb/6vrzxT2O1uqyOEYV9hzYzmn3/T/r0Yup R//UevJPrR//V9eD/6vrv4ur717eZJi9ex17w4kjwzsGlspRewYds1jRO0L2 C9hviD5at49//Gm1d9PRqcPquMr+DP5Or3ETIk2tclRc/zlOb0dGGrp6LPJ4 F6/t//Sc6rt1V9l89aXpghI+NbT9nya34p777QpWZhuSTp2udt7Aea0Dj6Yv CR0arn7e0NC6zxexat53nvus/cJV56Tj8dVbnzQE9N12s9P5HPVkZbtfu22+ bYh7/W5c+dIvVPDRScrLPNzQqWSlxL698mT/47tdG3+qsNVD9vf5no++cajw WVqI+GctD3ZwsDsWpfa+2lh0q9d1VdLsmyHv6hoMobfbjIqdkKvMfrMMunzl geHe1UXZFkdfyP4q18u2vjZrfjXteit3LigTsu2R7M+wP8D+C/sD+vwN+zG0 6/PlvB/2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D0EI+h B0YPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MHqIH9EDowdGD4weGD0wemD0wOiB 0QOjB0YPjB4YPfJ7fEY9MHpg9MDogdEDowdGD4weGD0wemD0wOjR/56rPh9N fEy7Ph9NfEx/mP4w8SbnT7GHsYexh7HnPC72MPYw9jDxm9RjGNdTmHiIeI74 BZZ6KGP8QXxBO/EBjH8P459LvtboX8P4xzD+LYx/CuNfwviHMP4dzPvW/74s +0k8Pxh/if0lnjeM/8V5Nd6Pvj6L+RvW52/187f+eevnc9r5vmC+L5jvC+b7 gvm+YL4vmO8L5vuC+b5gvi/9/et/r5n9PJ4/3xvPm++L58v3Q76H/An5HPIl 5GvwH/A/6E/+hfwP+RbyO/gjJgs3N9wxQnufMP4O6zV65Dyk8f9xP7Dkm4zf E/EB7xsm38Xvp9Kf+ID++nwy3y+sr4fifAHXh6k/gjcatuxvVxAvHHkit7Bq iWfCTfYMG5Rtliy8cMuFQ4E1U4T9l9V5d7BhmvAXM1cNXdUyQ3jSmKSjYztm CY862NDky4Y5wiX+Nvz3sk1zhY/sWD/8VYsXwoM2XyyR1CZP+PWaDK/Q7/KF PX+yHOnXpUC45/xBn53o9VI4a8bqE7v7vxJ2sz87asPQ18K2o5NNF40qFH42 uKb3pPFFwpv79B0zZPIb7TxJl2WlOv/lrXBsuxOnms99J7ymZdxYi0XvhZs1 qVKm7PIPH70P8oUwv4fL+2d94n2xH8j7kt+rNc7HjA8Ye94n/XmfMPM39jD2 vG/6875h5nvsYewZD/RnPMCsD9jD2DNe6M94kfNCxvVE4mkjY894oj/jCWb9 wR7GnvFGf8YbzHqFPYw945H+jEeY9Q17GHvGK/0ZrzDrIfYw9oxn+jOeYdZP 7GHsGe/0Z7zDrLfYw9jzPdCf70F/3ov5lPWB9Zb5Vs6TG/szf8PM/9izHmMv 58uN/Znf4TFWA7rfK8wXe86XYy/nzTn/klBpUikPjc3/GrJG2WrnzfG/mI/1 v9cs9UtGlvolI0v9kpH1v7fA/E+8qa/X5XwE8S3rQ75ZYMoRp1C1NOW6u4Xl Yjlfhn/PfMN8xPU5/wZzvQN1prjcWxL80fXwF2H8Aa7P/Kevb/3zPMKnnUfQ 1/f+/17P+0fPPxRXj6s/H1Hc+Qb9+QX9+YQ/63v/a+t7/2g9rf58QXH1tfrz B//selvmQ+Y7ff61uPMOxZ1n0J+v0NeDFXd+QF9/W9x5An19bnHnC4qr3/3U 8wfF5aeLO5+g33/W18f90fMH/+j5Aurt9OcJ9PV5/+XnBz6x/viffT7gz3z/ n/n+P/P9f+b7/1n5/o/y8Z/4ewF//h7An78H8H//HgDrn/z+23+z+vni8v9/ NL+vz9/rz3fqf5+guPy+/F7N72Muri2Yb/jvlu//dxgo7fE= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdwUEUUhe+GNIIkAUISEtIAMQQTIYEUSEgIGBBFBTtVQbCgRA02VErg nzr2sXfH3ruOfdRf6th7r2PvYxnbOXNOxvz4Zvft23ffu+eWfTWrehevz4iI 3BQxBOO+oA2MB6WgCIwGq8EqsAOo93oJ2MVjGSj3nM8dCYaBArAFbAbFZiQY ZbsjfD3Jc9rtAU2gEuzu60awAEwH48B8MA3UgJ1Bt22vBCvoD+gEk/2ukb7P d+4PZoAJ4CAwE0wE2QAyRIZ9LbAPWSAPDAWzQJ3ttYNaf/cSkBPSkL7n+5lk u1m2m+Pr0+wTNVsLhtt+tt+Z570ZtrnWa/m+n+37S/3uTLAB9IEx1mCY91QO is8UzyusX9UgDYut1a7eV2E/67w+23Eqsl/j/X2LQZe17rfNCu9jLjAnmv2e KutVa9sdYCevDXEc6Mvp9CNJ4xtpJ+mZQ0O5yDx8HbQm5cKv4Bleh3Kt1LE+ AOwDdvS3TvB7tobyssHfV25d+jwv9d4Z3l9v/4vsZ5c1oQZttr0H2M2+UrNO 75kHptr3at/nfG6ofsqsxyxrQj3arcl2sC1UD42O5cC3VlrnLseP75rjby1x rDpsh7rOtLbd9rvYtvtta6rtDcRotP1lzc13/PYK1SFrcB04KpSTLfa/2fv3 9p4FfqbV71/ob6AvPX7vIu+n/ZPAMu+hrvsNisOB8X9+LHFccjzPtfaLbOcU sCco9P2l3rPM80yPy73e7Of5LOuG9cMcOxkc7D0cV3rOHFxj+1w7xPtX+Jrz jaF85bw31FMKfb3K72FeMj+ZR6zHedY/17boH2v/sFCPOMLzfI+He5222Hfy HBfOC3zN54d6bd2gZ9d6frTXC2xvvW1eRrtJvm0K9ayxHjc5hsutEb+XNcPa Y/8p9pw51OdnmLcLHeNM39/i/exdJ9j+GsePWjEn2Y+Yly2OU7V1o2bsQ8yd 6Y4d84Q5wtxg/jB3MhyfjdaemrAfs4ey/lgzrJcSGLsB47Gm19/QBY4L1Rhr ZZu/ocrX1Y5nrzXk/e1evyR0tlKnJt9jzl9B7ZN8vQi8bW1o4xjbYQ9mjxio 9X7rMMaallrXPuvG3D/RehxvTQf2bvCe+0FDktbUfqv3NPiacbuL+ib1Efq1 2jq8zHgkxaMH4xuhmvkafBiq966kXsx6r8T8tlAvfJBaJ/n0Ofg4VJ8Pg8ak ONdjvM/fXoP5HaFeey+YlBSrL8GVoR75EfjKdng+3BTqo2+CmUm95xUwLamu 5mK8EOOpoB3zjiS9ngLzkvJrTtI+7vnCvtGvc+0z/S3HeHOovz4CfnZsef7M SvKd49PW4UfwkzV+1hq12qd7Qn5Rv/P8Lmp/Z0j/78D3odxrxvqjoT7xLTg/ dPZSv4dCGlLjB5w774GzHfc2rD8eqpNzOCb13w/sP31/wvu45yrwmXV+zO/m e8djnJBUD/TpRftF/Z60HerxizV5DrwbOoc+BZ+EzoPOpDgxRv+Cf0L/ZX+C P0L/oROx5/nQuduUlH/MvbfABaF/wylYfylUJ9WYnxk6d/8Cf4fOjxlJ/wo8 w0Zgfk2oj94aylHmJ3PtG+cbbYxLsnN7KBe5/ip4P1TXv4HfQ727JSnPmGNn gKqks5wavGYdrgfFSbWdwX/tpPPsalCY1HdZl92uzdlJ8WPsXmAckvoUfZ2c 5O/dzi3qfxaoTTrbqVlFkm4/+B7XxybFg7HIwjwz6f+3LukdtF+E+XWhM2E4 5peHzrB3Qv9k/C/Jw/qlofOwLMln+puD+cWhM/ZaMCrp/+CWUM2wXv4D/NHv Ow== "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPF7qzZVO5WKUXmVWqVNh1arVYpatWOvIGgRo0UkTewPojat vWfsPUPMD/WBiBFij1if7PU/OefDL+fe93nee8997rm3wcjc7Jwg59xQBKOx d+4wsTnSUYTy/DaMOBzrUIb+IOJgLEFt+lOIoXiMzTIOkrEBlXg+ijgadWnv IzZBe9Skv5M4Gbl4hdfobmPcQFmvc+VhMWrQn0SsgpVYilRkYzWWozOy8BZv 0BA9sQhV+f94YghuobLX3GbhNp7Z/LNRIt+C59OJYViFQnREV7Tl2SViLLrg Pq6gl+WwAi/Rw3J4gqeIQ328xztbq8wZw3hniNHohJuo4PXb5+OyrTHLxriO tegmueAFriHe5nxuexRq42/CIyTZnH+xAInohzvIZL4CYgvJmfZBYhRScE/W xW/ziG3sv0H0B9gYUhvriUOc1kgp+h4Bp+8cQsDr3kuNfcYXpKEZKnrdE9mL EbJHXvdE9mIMFiKd3+bYeqU2i+1dqdEM+meJrTHX1lJie1dgud+1by9rKOf1 G+dbzlKrG20uqdnv+IoI9MYe1OGddsRI+a60dxBzMA61vNao1KbU9F6Eez0L UvONaH+ytU51WrsRXtupOCC5ef3WTeFof7O5+2M+fqMvEvAHv2Rc+60a728j TsQEyYP+FsttLB46PVN5VjMn0Yp3Oki0tf5EH1tzJM+OWC3IHtWjv99yk2/w AR+dnj2pkV1Oz7ScZbkTtltOkouc2a2Wk+QiZzCW9jmrJTlT0fRPWS4Z+GFr TrCconh+jNjSac5rnJ4BqQWpiTCe77a9kRpfZjUhtRDutDYeOD27UiPVvd4J IfbNTksuXueWMyhnOYn+TKdn+qis3evdKDmkSS17HXuG7CvtE9aehnj6F4gx yMRVpHi9K+SMXkSi12dyhwR7rXFZz0Ake73D5O6SHI7bHDK23EnnEef1rpA5 5KyV9vrfgNXGP6dnW2rkP55Qms4= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXn8l1MWx3/PedJCJYlRhDBS1jEYM7axzky7spQapUV7P61U0iYRsrYr JVSSTGhHmywVSjXMhBKltEp7Mec95/O8nt8fp/Pc7dzPOffecz6/b1WaF9bv ZAUFBU38n9T1P103dbk1KSho6XKHy51J9DOntn83c13TdV2XBv7dgD6X5i63 udzu0kKa9fckMYex5j6/lut6LoNc7nd5wKWV9mnocq90I5d2Lk3Y36W99N3Y tdizo0sn7c8+9wkH+7eWjbtcCjXOWBv1NXbprLn42lftLi7dhAMb3aVZ10O6 rbC3Fcb1Lrtddrlc6Ng6uO7p0iuJb3D2LoL3QWlw9ZEG+0PS4OiquICjn3DR 118ajAOku2u8pdY8LKxgHKjxHsLbWDEt5TgPuD7ocpEF3sEuz8gu654QPnAN kQ9gf1J9xOwp4QPX09KsH6pxxh7XOmw9WiQ2z2of8D4nzb0Y6fKY9hwljY3R 0uAaIw2WsdoPLI0s/Bjm8oLGGRuncTC+KI2v07Se8QnCBJZL3M7zrie6vCJ7 w10mCx+4XlXfCJeXk5g/TNh7KV6TNM6at2SPuVNkA5+myh/wvi4NpvHCCKY3 hBHs06UZf1Ma7K/JHrbaW+w1w6Ujd9LlDxZ4B+sc3hYW/Nvh8rXLNy6zhBtf Z0uDd440+8yVBvs8abDPlyau70qD/T1psL8vDfZLHdO/XC90WZTEN5g/0X7s s0SxA+8H0u+4LJWe6fKxsLLmI/lA+0ON014s29haJttg/1LzWLdCPoD9U2mw fyYN9ssc8wLXn7usTOIb/KuK+PGFNHuulsaPNdL4sVYaP/4tDY7lwgWOr4QL //4jTWz+K71MZ7ZCeL/WetrrNE77W43jx+UW2MlbG4r48Z00fmxRXNh/o/rw 6XtpfNokf/BjszR+/KDxNYo974T7tFX28GObfADjdmmw/6RxxnbKN7BfYYGX HLu7CPYftSdY98gH8P6scdq/qA/se6XBuE8aPw7JZzAekD/YPijN2GGNg/FX 4ebd/CYN3qPyjbEjmkube/qKYvEnCz8KXJd02a89Uwvc+GEWftLeL4xgKmYx jk/HWGh8SiyPTQkL31hX3GJ8n2K5U1jJSeQAchU1mDpGjc1yMTnneAs/8a+M hT/4V95iPzCeYOEH7dMt5pV1uVL95dQ+qpidqHX4epKFP/hxhuaxZ0XFhRpV SfpYl1Olj3M5Tbq0BSep47ZruJwse/hdWeNg+p36iA28hFpJ7b/R29Us6uJf XJ/pUt+/r3Z9lgVvgfvAWeAu1/n37y34yrWuz5G9gYoZ+foa7zvbggNd5bqK eNJfXZ9rwW+ud13VgqPAi+BT8Kqb/ft8C65zmwXHaprEejgMXOf/XErtm3y8 ukVNv8H1eRb8JuNhzDtFfpcU7lbyv4LOoZjlHIt7cKcFx+qg9XCSQu0Nb4HH sAdcqHWS85tewlSoeRnXYayJbLcVrs6y20737/4k51jwlQ6y1zPJ+VYP4e6i 9diGD8APGmteG/nXVfMyjsVcOAt8IOM1T2j9xRYc6JEk51jwloxj9RemgWr3 0DsZKBx9ZbuR4nGv8A7SPPIruWi9MPXTGnzjDQ6Wr4+pzdhQYWXuU2oP0P2C u2RcuVWSc8c+ivUQ2co4Get5N+Qy8txdFjwJvpLVrZVaA08ZkeR8a5Qw0Tdc OOAmGbdCj9Fc+MCUJOdno5Ocw40UjnFan/GwcZo7VevhT+TJl7Xfq2qz/yS1 sTVZ7YwzTVVsxsvuKGFhHu9ygsb+aME5FiQ5p5md5LwKjgJXai9eMk5904SD PJ7xJjRcghxDbSA/TlTfjCTnZ9OFe6bWg3uW2mNlO/OBuj83ybnUvCTnUvOT nEu9m+Q8bE6Sc7VZSc6xmPe8sIILfxbpzMG3WG3swheWCxMcZGmS860lsvuR xtgTXvGJ8C1Xm/0/1ryMn7F+sM5yWJLzqhVJzqs+TXKe9EWS86TVSc6T1iQ5 T1qrPeAS1H3Okvv7ufB9qXkZZ/oqyTlT1qaObxF2eMc6YfpG7YwPbRAOeAK8 gbeyUWPg/lZr3hLuxUnOkzYmORdcJR82yRb44BWbhXeL2suEJcP6k7DS3qZ2 xpm2JTn3wi71kPd9WD7s0DzyBLmM3DZHsSA2J/sf/Qt9zS3iFMVUD9jjiOzA P1LV7K3qO5TkXCrjVug98oNxco25/fGqefASE0/IOBN8oKxq/+mq1ZVV2+Ey iThEVu+p//h8VPjYv7jq/XbZO5rk3G5vknO4A4rRfo1l3KKifIOXlFeNpO8U YS0vjnNI8SWPHtD6ksJ3gnhOCa3LuAY64yMni+9sFpb9Sc7hiDuYSmhdxnUq aYx1FcRNrhKXYH1J7ZlqHB/+bMG9yol3XC0OU8eCdxaIH5wnzsPfuX9XLaBG VxcXYI8qWktdq6p1tM8St+ksTMzlhyRskWdulU3a3VVbB+stcZ+4C8f43XhJ HAi+c4HFbzvsfb6+wVdN3Ib94FRwrXqu/ya7aH5z6alzJnalNO8cy39X4g42 Ut916sfetZp7od5BB/l3jXysafH3HrmllsXfTtTx2hZ/k+xSzG5W3MB7kzAT 4xsV539Y/P1NDq5v0c7qEHqhMF4vnHBM+CLY71S7oc7hBp1FXYt6ho3jPJ6v WuzPGy2td8M7gf+WFvaa8gWfamhtDwtOAP+BC9VTbPGvlvzl7tSWv+BvJx+4 a3V0r8BSX35xn+AY5PzbLbgsPLaLxb2B13aVhlcSdzgnXLKbBQdtKmzcIWw1 VD9zwV5X+BsLP3veonkddE/a6o7Arfk7oYb0PRZ/M/CbJvy+ljS/dfL75936 ZrylxRj9zGsue/xW2kb9xKK1zpjxFhacnnfQWNhaaIy/Jdi/meZgu6X6uyku d8ine3Uu+N2qSAyJZ33FmPjwvrhb8BZqO309tJZ4d9H8izSf/jN1FvTfZ8F7 XkrChw66q/Tzttsr9t2Erau+myZ5u5nyLzm9jOXvs6fuIDm+su5Oa92f7B5g hz3v014NsnuShK9d1EeO52/EssLYUZjbCyf55zfX4yzezHaXLYrvEZcXLHLA ZpeNOqfL/e0ssTirK/z7Q4v79Z3LN7orlwovMTnoerRF/tjnMtIiZ7B/oUXe 6yRfwHaXzoKzetbla4u7c5nvtcjizhZqDfN3cF8szmePy3CLXDzBIm+SA7Lf pqnrl3jfEIu3Ow+/03iv37r8aHHP8WO9fJnh8oHFOc8Bexpvfa3LGov3Osvl jDRyxvcuD1jc1Xdcn5ZG/pjmclIaufMCdBrvbZ3LMxZvqJj3DbTIawvlM/4u VtyJ+dmuP7bINef69ycWueYt4p5GXqnk+tQ07k0118ss8s57LtXTqHuc5w86 06dd3lQ8P3Pdy+KdgqV4Gnimu5ySxhtjfJvm9HS9yeI9TnVdIY23t9xlgcXv BGW9b7JF7i/p3y9b5HvitEGxOsH7X7OoZw+6DLV4a0t1z2ooxjMt4nyifz9q UQsrpnFOnNEKlzd0vsT7dYuYE5snLeLzPvukkY9Wuay0qMOc7WyL8+VezLW4 G+f593yL/M15vm1xpvDaParT72relfL74lS/kbj+yKKWjLF4V7ypymn4hl+9 XXYqVlMsYkEcVrv8bPGmt1rEmjjvVoyITzmfO9iipuI39xvfn7N4G7yLYRZv g3fxikX9o/aNtXj/vP0XLTgodbW/C//JRe0f4JKmUV/LuH7EomY/oXvDnZmo c+VMH3d5yiJnDnJdOo26Pkn3gDuAjePTsPOwS6k06nQfl18seBt56CeLXFQi jXnMwdfyafg7wiKnkE/2ujxkweEOu/Sz4CsHXPpacJRj08AEnl3aj714T1XS eFO8p3PSeFO/KhbEIUkjFsRhlEVeO1u2D8k+76xqGm+N8++tM+X8T0/jDoBx v3CC8ahw/g9Wfaaj "]], Polygon[CompressedData[" 1:eJwt1NdrVUEQx/Fzd4OiKIoGK4rXGmOihth7NxhjCYqiqNgL6H30PxDs2Hvv DRV7Q7Dgi73GqFiwgAULiqIofn/MPHyY3Zw9Jzuzszc9KVM6JyRJUows5MYk ucAfOqEz0sxPEdtjMH5iDRqjG35jHZqgO+bjIUZiQipJGvL+CcbtUIymzM8Q O6AE3/AVpawdQXyA+8HG+sZS3EAbzGPNNeJNDMUgXEIZRmMAXuIVJmoN6xcT 7+n7KMQLPMeQlK1ZgNsY5v/jDi6jCMPRgv2eI3bUO7iCcoz1NU+wXLliHJbg Orp4Tn+JG5Q3emArsvhmb2JzRMZbfNwLrZjf0v/m3RnEfOa1MZDxTM+lNfNZ npP2nhftmXIoZHyU2BYZPMPFYN/SHuvwfKHXchrxPFpGy01nXsB4EXE7z2cT H+EApmIUHuNwsHfHYD9q8k6e9o61+OW9oB7Zi+o870/M1XdRkXkf1RabkYqW ezPsRlXm/bQv7ERl5n2JOdiIf+jpNV2PP15b9eBHfMIUr+FK4hd0RSOsxo9g vZtGdrSeVa8qx4OoFa2X8vEW7zBZ9WXNMj9znfV4VGHtLt+r9liN+R7PVTlc 9ZqqlgX4jBW+F/WIzvaQ/y+dcQXm27w26pFKzHd47qrZd6zyvSunGjzf57VX jefiqe+tJGV35Viw3tedKfMz1VnqzpxV70W7i+rx42gQ7W7pztZnXDfa3qfj tOoc7bdAdzhhvMnPTmei3qwXba169A1eB7uLquGRYD2a8R4r955SL+lOqXfv Brt76uGTqlW03w79Bn3Aez8LnfF/w3KFIg== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGm4jlUU/Xj3Z4wQadBAkyZPw/NUplAps3IzXZmuIfcSLnXp5l5DGiQi DUpKlGgwNWkQGUqaNKDCLWUoMheVUmu1locf69n7fd9z9tnnnHXWPt9XPWtA m/7FU6nUomKpVAJ7bqRSnwDN8TALqAp/DOwrwFXA9cC7QB2gCfAeUBdoCiwB 6gHNgKVA/URxXgPGAWOBFx2XMVcCDYFWwCqgEdAa+AS4BrgR+Ay4FrgJWA1c B7QBFgBTgAeA5cDVQAvgA6AB0BJ4EMgA2gE9ga5AN+BUzOkt2IXAeH/vCGTa bw9UQJvjgQ7wJ/j7LcCXbtcZuA3oA2S7D8e6GejlcboD64C1QJbb9nAu2bZs +z1QBPQG+gG3uu13QCegi/PKdB7MK9Nj5roPc9kGbAX6A7cDA4CBwB22bLsD 2A4MAoYCg932Tlu2rYT4pYGR8CvDHgeMhl/gPmy7H9gH5AMjgLuAYYn6DHPb g8ABoDBR/+FuuxvYBeQBPwE/AjnAnEQ8a2wOtDYnyDFyjZwjx8g1co4cI9fq mQPkWn1zoIU5sdJcaOA16Ov1eiMRl8lpcoxcI+fIMXKNnCO/xnpfyd8x3t8M rz33ZKF9vieHyeWGXoMhXi9y6SHv5TPARPvc387e14neZ75/BHg4EV+nA5MS 8WkG8GgiXs0GZgKPef24/9me30DvPXnXy+3JO3KK3DrCPz4X2e/lb/0co49j 9nMePR2jm9v29LdcjzfUez7MY5NLg5Oj/OPzdvu5/jbUa3SEf3zeZZ/tTghx 8fFEvM51Tvs8FtuRd+TU8OQo//h8wH6Bv5F/dyfi9Wi3GeI+jPE88BIwLdEZ 51nnWUvQvjjwRCItPNF6+FQi7ckwxpoDUxPpTju/G+f3TyfSGsYsgxiTnVM5 x74XmAc8ay50NQe6GZO8j93NgSzbx+yX9DqN9BwmeA48u/d67vOBJ4ErHW+G 4z3o+WQ4x6nOf4LzZs7kL7nbyWs1zfEnOmdyt0pILyZ7baYkR8/Oc4nWjfnO dM7s94L7nhJaX9YGgnWCOvCy/TFej+lej2ohHed+POd2bPN6Ig3h2T45pCmc 79xEfmPb+X7PHF/1Xr3i/mxTO5FGUB9Y7xYBNwBv+j19jr3Q+0vLmtLB9h37 1J+PEmlQHceq7Xj0mzjem865vWOxLzXuPfdbkUjjqGs879RN6vz7iTSxmS2f qY/UQeojtXGZ/ea2y9x+seM3tV3sfJZ7PLanblJPqaUf2m9p+6Hzaeh5NvBc 6bdyn+XO5TbnzZzf9hq1dX5LPFdq/qeJdJ/6S12mJn9un7pM7aGu9fY39mnk fvSp46ynmxLVFN4XVh8T73O3+SrROe9s/+tEfM5y/O7u94XHzXT7jn7Hb208 9iqvAfutc25FziPH7771+yO6z3jr7XexXe98GO9jr+FfwDfO60hcrsFGt+9i u8F9f/C4bHvIz70db5XXNsd7kW0U+d03zpVjkZPkKXnOc0Wuk+fU1ZK+G5CD W7ynxFbvc679Qbbb7P9sn23/8TN96jh1P992t33WANaMPNsd9n+1z5iH/TzI 73a6TZ5j3eExf3GbQY7FHPd4LLYt9NwK/G6vcyD2OccC+4W2++3/Zp9tU6Hn fO/5Ia//vx4vz+vHsUZ5zIP2/7DPmMVCz4V+96fbzDQnsjzm726z2fvBffzb zzme92HPe6fzyPP8mGu+Y3A8xmEtKu6aQcv6dz/8tH1+Z/0qe0wNY41hfSkV mtsoz7HUMTWJdXeE+9K/x+/KuB6Xtc/3HCc87ibPh3Mp57vofe5bye3Lh77d 5zblnSc1lHdlamqm/U62FexXtM+2W8zL/p5TOa8D51DJnKc9weMe53rHcbkW lT0X2ip+zxp0Uqi2cJyKvgtSS6g71BzWAZ4znrcb8f1wqLa34d0jLW2ay36u jxfD7g7pTwrfLwvV1aYcM1RTv4T9LKTjO2C3hbRvD+yvIQ2bBls3VKv3wjYK 1f8nYac4z99grwvdBdbBfhXSfc6Jc2MNneN5co6s4azl1PYTXaNZz7bC/hjS 6Y7cx7T2tgnXOMTrT2E/CtUn9qvmOA35ey1UU6v6PWO/5XZsswl2Y0jn+sNe 6/xrwR4M3V2a80yF7hEtYQ+F7kHXw04N3WUugf07dM+4FPbf0D2pNeyfobt5 gtwz4K/huYB/c0g7T4Gf5fN/GvyePsNV4XcLnf/K8LuENIv7fJP3mrm0cj6z YeuH7mXMt4Vz3sBxQjWWa1DVc6+ImLeE9LQ0/Pah+lAWfodQDSgPPzOkC5fD zwndmRqH9pj72xa2RFq6tRL+8tB94lZyP8Tx3rAjQmfiRdi+obvjZeg3OnQX uwj+E6E717nwTwvdOxmjwHGeCu0N96UP7KjQmf0ddkDo3nkR7PZQ/T2PnA3d Ny7gnEK17EzEXxi6U5wNuzR0nzmHPA3dc2rAvh6uZeRs6PyeBbsodOc5H3Z9 qOZeCLsldE+oDjsvdDfbB9svdD+uCbs2dBfqBHt8WvpxP/wrQhp4D8cM3Zd7 8CykpbW94J+elqa3g18qrfrdHf5JaWlzV/hV0tLszvArpaXl87lvoXvqG7AL QnfHZbCLw3c6rkfojpkfmjPnOw52YOjuPgz2gZBGTSK/Qr8pqSXjQ3oylhwM 6fAE2DPS4hv7XeW+1KSJIV0iL+4yNwphz05Lx/8KnSueqX9C5+r/37IcJ/S7 izyaYS6tsTbyPsO5zvF8qR+bQxpSFNoz7hfPOjWL5/2akJZRx34KcYU8IUca mCdc+xpe/+wQR8lP6uKukDZWT2svuY9cswNeN3Jzv/m5M8RR8vPVEFfIE+7J a96XFSFekpNXh842zzV195mQ9j4NWzv0+4/nZrLPTr2QRrMNefeSuce9fdf7 Owv2hdB/bDyvH4TO7Dsh3pPzz8PODP3OWRLiPTlPvrxvzvwc4j05fw7mPjxU 81k3fgnVjvPwviZQgs+h/wr5G4F1ZnWo1rAGsDbwdxM1plZaOkNt/j6kz4zR LBTn29BZ4jlibVkTqi9fh848zzs177uQ7j0Ce3FavwlXhc45zzjrxseh2jEd 9tnQf4R3h7SJuvQfsZK/Og== "]], Polygon[CompressedData[" 1:eJwtlXnQV3MUxn9v59y8xEvyWrJUljF2pqxjH5VW9SpChex/yNh3Zl5LRtqo RFnTorRQaZJKTLY0WUoSYipKUoREyeeZ5/7x/M7z/O6933u/5zznfFv0uamu b4NKpVIPEvzKzwbQNSqVz8CN8OOKSqUxsQe6GXEMmAYfqXvgn4MF8I7gU/hi 0CH830nwI3i+mliPvoO4F/oX+H/gNnQNejV8G7gd3Ri9Fr4dXI0+AL0F/jc4 Az0BjII/AVbCvwOd4QvBUviS9Ld8AO6E78Pzm+A7wNfo5aAT/CNwL/x4rjch Po0eS3wF9A/vcTJ8EmgNnwHawoeBifAxoAd8F55fCf8erEB/k15b33QK/Ciu 1xD7oe8mHlh4L1XwW0Gjws/+C+5CN0X/ES7IRrApXYs60BL+SPrdPfVO+A/p vV8AVsNXpfki0Ae+H+ttDq+5Dr0WdIEvBpfCd+P6qnANeqL3QP8UrsEV6L3R G8M5vBndDoyDvwSehJ8PxsJfDedqChgfztkn8EXgvbAnTpWf0s9O1RppT8lL b4Ah8Fa8r2m5xkLix6B9eI3e8CZcXx/20C3oAv0V/B/QCh3opfBe4GT0kehG yhv6HOLv4Dn4QFAPP4zrBfEZ9Brij+ncKUc/w9enc6WeaA5/SB6BD5DH4B+C +eFv7Ac/EfQO5+gg+NGsP6XMx4PoQ9CRfmczeHPwFte6h3Pfi//XhWug3uuL HhTuwRPQ95Veqi174xri1nCPyIuXyBNhT6q2l6HXhGu8a+GeU6/pnoaFPSjv LQcj1Adgcvib26drrno1JD4MWvLMa+EcXIzeCb0C/i14NF0T1UKeGA4fAF4M 98yF8Cru/yJcoy3oNmAI/IWwV69C/xn2rLx3Jfq3sAdVy+vQI8I1bVC4J9QL S8Jr16W53tFVQ43/hsOHhXvx+rLWNeVsurbs/erSm4cX3qv23Jm4HYyGPxXe 60Xq8fCe5cXL0RvCnjwY3aLwrFNN5OXB6drK09WFPSpvao2OyhV4Wb0UnkX3 lF7VTEp093RtloHdC89IzUbVdM/CM1WzVJ7Zt/AMqZQ5m098Rz0KnwfeVS+m eTswGn46eDw8U//SrAODwzXbDD833SvPg2MKe1pengDmwOeCOeF3vA9fkF5b PTEV/np6drZRjbXXdK/rnSPho9K1l8ffhs8GbcNryounaY2wJzWbx4Pp4Rmt azeAZ8P3HMv3DU1/mzw6EX5m+qxQz0+HT0t/y8xwr+5c2Lvq2W3oTulaqya1 hc8QnR2q8Q54l7SX5In9C8/0qtKz6u0HVLd0jx+K7k98LPzfuPQM0ezQHu4v e7q29PR5Wieda9VgK7xD2htDwaz0mayzeDaYAX8zvRflrFvpGXlFM3Em+uz0 vbOUA62dnr3quYHaa3p2q0fOSj+jezWTvoQvS5+lOjP/B2KxGeA= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmYzlUU/hru+YmIKKksg/b1qUe2ikqTMWMZDDNmhky2MQyDSCnZWhgj lXWsbbQopGmVtIm0klApQimjlTYt7/uc93vm++N9zv3u79zzO/ec95x7v19y /ojuRUmxWGzxCbFYFcgTLRY7DRgVYrENwHzgLmAbMAOYDlwexWKl0EkGTgde xNyVwO1AC6AlsBFYAEwC3gbKgCnAh8Ay4F7gTWAhMBnYBCwCpgKbgcXANOA9 YAlwN/A+sBS4B3gFmAPcAawH5gF3Ah8Dy4H7gIlAayAFaAo/20DeCHQG2gHt gY7B59sCqZJXAZ0krwa6SPdaoAgoAUYA3YDrgOuBTNmmvd6yRRtdtY56GdLt AHSXvAF4Tmt7Ar1kg+uzZCMN6AOky/ca2Et15ahc6/oDOXpOf3Ml+f48Sfrb V5K+/KPfhUA/zdGvXdpPPnBUtgqAL+XfzcAB+TcQOARkA4OACvk6GPhZPg0B 9iouA7QfxvUa4E/5N1Q20rTPW4HRwBigVHEvBiLs28zjfz8wUjq3aEyd1crR cOAE870NA8Yn6JKbk5Xjk6FTCxiLcWNxekJwfpFT5BD5xTogV1gT5DW5Qu6T 7y3kN/dEbpHXU7RPcn+qnu1V/HrJVkflnhwnr8kVcpz1Qc6wVsjl60MlR7mG HGctdtA7GLdOWt9VuT+gePcOlZxOlR/pWkNfO+t3e63rrHd3k61DyjPzzTpK UUziPM7QmhzlPlXvjHOZMlPvz9KzdOlmh0q+5mifGQnvztMzcpIcJ9fXBa+Z Hopdpubj/M6TjX76/ULwOrkpOIfztWYlMDM4t8jbQfKHsZqsuD4YvK+1lG6J 9MntwdoDa2SI/CefC+RzQKzWBOcja22ofCN/i2WHHCfXxwXvf9OUk1nBeU9O zw7O9dH6Tf6Sx+wBHBfr93jZot9TlGfyv1BxmBu8X7YWyO020puq9z4cvG+m 6Bk531aYpNi0k5/kC+tmvHwi98hhcofc5HnB/sZefrf022sc74n3KucEed5B mK61TwGPKu5pyg859DTwmGL0i/LBHKwCHle8uNc52utozY1RPh8IXrPPaM1s +bVEvtXFvp5VzBineQnxmJ8QjwWhki8LE2JflhDXRYpZE/P+8pDit1jxYMyW Kh7cJ/kS72+PK+eMzXLFZrvyxBytAB4J3utKFKvhiusyxXWi9tFaz1dIh3PP Kk6MJeuhSPaelM5M5YC2ZynupYrXqgQfn5Cfe4LXGHvcWu2FduqZ/+a4OcbN zGu4oSTr9/ngtd1DOuu0x0bmeqzhHcFlf8X7rYR4v6N4vxS8L7eS5O+W4sKr Cfl8LSGfryfk8w3lk+99Qf6UKkZFyue7yuFO+UR/yJ2tCfn8ICEPHyXk8JPg /F6nXHKPfM+nehdjtkYcIEe2BOcm3/NZ8D7G/rVLcdutcb7kbvnzhcb5kp9r Ph5H2umlfGVK7pF+Tey9vs7EfcA3yimffyUd9vG9srFP4wGS+6T/PfBD8PNj v+apwxo+IBuHpEedg5rn+Dv9js9/q7XZWpOldRwP0rqD0vlavtKHw9Kjzl/B ezR7MXsGewf7OPv/Een8pPFgyR81n6M1fTRfESrPgAr59Ztsshfl6V25mvtV +seCnxkFksek/4fGBZK/az5Xenw/64x1OFK2/5I+74Q1lS+ee+z77PnEP/Ll X40LJf9VHGLmY86finE13a849590ksxt8h7F8yvS/ZNzSTpjKKtozFrn+Rfv ZVwTv8OZ1lbV2mHax9/aSzXZ57rjekYfuLdaOvOI6tovZQ2NT9KY9vk/5iSN R0kvfoc8UfPjZfO24DV3qt7LuZM1zzqoLfucq6N5ylM0Zr9kj2N/q6211Of/ IvYgnjVzMXdF5D2Xc7xnskcdg+xpXq9/QvYy5+/Z0E0x78fHIbPMa+gSzN9m fgb8CtndvA/9B9nHvG7qQGeQeW7zgKqR8zgJMte8JoZBztcdpRVkqnlPqAGd fHM+ZpMb5rVXC/MDzHOSjPE0897fGnKW1tbD/BDz3I4Ezo+cr80gp5vzN4dc irwv3G6+H+6FNlrJTn3MFYmLDTEerRycgXGx8loN45vMa+5OyEsjP98a6A7P 2A+HPC/yc+xcyALaACYBl0Xe08+J/BnnJ5jHnTG/kPP4fSYwDrgg8vtgE8jG kd8RaGOyuZ2AcV/z/nG6znrmtzfk3+Y9NJNxNe+hPSCPmvflDMhfzPt7OWRn 83ObNprIDs9Jnpu88zbVGcqzI1k6vFe00TOe9Q9DLtcZdj5jLzuPQHYyvwfR RlPZLINcZP7fh2cTz2C+k+t5FpZrXw2kM4qxibzvdOO+zc+wWyHTpcPYnSXf RjAvkdceczXRPF/sZaXqDUMxd795PS2AvDjy9SXKAePPGppnXkfxOwTPzSfJ R/PzvlzzPbXH5orVGMhGkdcunzfS2gcZh8jvNDPN48VYPaQccC+fQ+42/yax ELLQvM+RIxdFvtdvWX/m5/2XkHvM7wTk4I3mPPwe8pD5twrW8Yvm/N9Hjpjf G1g3Hc1r5zBkhfm9YRnkUvO70lTzOmQNPo3xKuBljB8lh83vuG9AbjT/HjMY sm7kPXog6yny/j6W/FVsmbcy7bc/ZPXIz6GbMa4ZeY8+gPF+8285aeZ8IpcY +5WK/wrWnfm96y3It83vVV+T++bfcjZAvm5+91rNfJp/19nKGJt/N1pLDprf 29ZTmn+X2gy5xfz+9wF9Mb//baI0/7bUDzKK/Nx9HuN15t+KdpCn5t+ZupjX G2vtZb7f/F7IWh+rmHzMfJp/o+KeZmhfP0IeMf82tg1yu/m98BnzfDAXOyF3 md/h/gcIXG3i "]], Polygon[CompressedData[" 1:eJwtlmm0jmUUht+O8+xXoZRTQgPV8iNpUGme51pNNI8cY4jGtWopZI40UKI4 IkoDIq0KpcykRJQoFEWSFEmIrrv7/XGt597fO+/97Ht/9co7NelYkmVZBZTC tMiy42BIyrLpMAF9LLyAngrvo+vmWVaDdTDx06wnEddlrQcT4T34iGNd4C30 O+FrH4fP0CfAy+jZsALdCCp0DJbpfjAcPR/GoK+CzuhB8KHuHX63bjAc3YDn 12F9nrg+6zHEtVgbE89hPR5eQs+ET9ENYag0PIm+Fwagx8KX6BNhGHoufI5e HNY94RJ0GfcvZe1A3If1cOLqrDXhFzgVRnJsMVyOHghvo5+BdehT4BX0IngO 3QVGK1fKEbodvIl+FS4Ln6Njesfe6No8ryrrIfpmGATjODY++VlPwJjkZ3bT t8MkdBnrajgZRujboHs4B/p2XdMf/VQ416fBUTyrJ/Fryc/ooe/kt8qsB8MH cA105dgouBh9IMcz1vbEZ7JuheXo5nABujLHt6HbwvnEiXgLug2cR1xCvAnd GvoSPxbOxetwDno3rEO3hAvRVTh/B/oeuIh4f+Ld6Hb6LZxTXV+b9VzYCxuI W0E/9H3h2ryhb1ZttIfRTaGj8sz98vA33w+1iKuEa/AgHEZ8QHgPnA3/wBqu bQFnobfDd+hy6Br+Jn2Lan4k1w4mnpDcU/NgYbg3esC7RU+pl6Yl9+KksFZP jkRfB8vUm/CiejXca7rn1eGeVa+qRg3QU+BjnQufSGvPSCf3/vSwlgdMDfec ek3XHMH7Pkx8kOoMz4b3WFmxZ4eE94j2xkTiQ3PvWe3VfYvefEQ1Te7RGrn3 jPZKpSK3D7BWC+dYue9UXKsatNe9+S0Ve7oX69G5a6c9qlo8VLybalInd4/W LO45LuxJys8U1VzvrW9Enw7Dwp4iL9E7PopulNvb9NuCokaqzaxkb5kf1vIY eddyWJDsYfKaWTAj2XO+RX8DvZPPkRd+AXOSPXFR2HPkNfptKXoJ9ELPS/am r8JaHrUB/bN6WN6l+vGuQ7Unw54or1kfPibPUe//qGcme8BY7cVwrysHV6BH hfdSs+RcdyhqqZxfCaNhYLInV6CvhaXoyTAbPRO6J3/zWvQP2vPJz1ylXoA+ 6IXJ3v99WGsG/Ib+FfqhlyTPlgHh2mjGNMxdE9VC33gp1M/d2+rxZqxB/Gey x+hevytnqbgn+uvwbFFO9e6dw96lb2iC/kPnJHvWHeiM+21M9qSbiP+GVck9 fgt6p3Ka7Em3of9VTZI9RrVeGZ5tqvkN6G2wItkTlIs1YS9WTlTLjeHZoZqq l8eH96r2bGvta95nT7LHtlUvEpeEZ1JLqEq8M9kDR4RrpNrI0zajG0P/5Jzc ha7E+ZuTPbhcvUa8PdlTVcu54dmpmqqWP4Vnl2oq75gRnqXyEM2+TeHaaQaq FncTb02uyZ6wh8u71yfn8kZYnZxT5fp27YHknCuXt4bPVU53hT1W3ro2Ofc3 h7VqoFy0CXuJcrIl7OnycnnkjrAny4v1TNX6evVkcs3z3DNJs+j/d0afEe4F nfNXeKZplq1MzlVz7YnknCmXd2rPJee0NPdM0yzTb9VzzyjNpr3JtWwV1qpp tdwzTbNsF+yTe2ZpVikn++WeoZqdeqZq3SJ8rmquvdU0/G7aY5PDni+v13+y /wBdTWA1 "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl09dfTnEcwPHnQQjZu8hjz2wqM7vbbtz7Ax5/hZnsvYXMkBHKXtl77+xQ hDLD+7y6+Lze3/P9nYvfxTmRKVMzouFQKHRFXRTMMYpVnKLarMYONrARs9mE M9mMG9mUm9ics9iSOWzBLWzF2XyhN3qt9Xqsy0pwvp3x3MF24eo7deWe4G7M YzdeZU/uYw/uZy/eYD8eZF8eYn/e5EAe5gAWcBBvcSiPcgiPMZl3mcrjTOEJ DuN9juIZjuRZVmi0+Rxf6pUW6bk+6K3eaYR3huu0+Z4mmBdyqU5qoudTfKan uq10uzv8pq86osF2C7hED1So8Xbz+URp5jFKUr7n3jzAPrzGSbzOLyrXXnW3 m8fP+qQydbbrpLnmxSrVR+1WxH4XOzKLHZjL9tzJRM5hW25ja25lG2bykdap RO9VrEtq6HwtG3BN8P3xIutzdfBNchXr8QLrciVrcwXr8DwfarmKtEzj7Mdq hrkWYxRWTdXQdPu/+qffqtIfTdNP/VKlfui7gp9kcqj6f/kPiPlruQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{331, 330, 334, 744, 735, 736, 734, 738, 737, 632, 740, 741, 739, 743, 742, 633, 746, 747, 745, 749, 748, 634, 719, 811, 703, 733, 658, 731, 657, 732, 631, 333, 332, 331}], Line[CompressedData[" 1:eJwl08dOlUEYgOH/gAW7YkEBC9LUoCKWxNvwAlywNdEtidgFRIomqNgV7GBB FLE3itgLWDfegSAiipVnwuLNMzM5yZkz+U5a/rpVa2NRFLVqjcVq5cRF0Q5N jo+iOk7iOSayhBN5luN5hhNYzHE8zTE8xbEs4mieZAJPcBS3cyRrOZw1HMFt HMbjjOMxxnMrYzzK/zqiyH4L/+mw/uiQ/mqzfuugBnRAv7RJP7Vf/arWD23U d+3TN+1VnzaoR3v0RVXq1not9v33+UyVKtRX9apLb/VOpZris/V8rw96qGXO HnAaz3MqLzCJC5WjV/Y7lWt9kc+1S2Wa7uwSP+qTWrXcWQtf640ua6mzBu5W uZbYt7FRM6xTlKxF6nRWoTzrK3yhR1ph386ZvMpUNnEWOziH1zibzUzjY6bz OufyBjP4hFm8yUzeYjafcj5vcx7vcAHvcmWYuzCLYQ7DbIY3DW8W3i+8WXiP 8HuUrJRwx3DfcMdwrzCnYXbMd7c+66XuqUE1qlKRCmJD/4VBdeViuw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00dPVkEYgNHBTyP+AzeKgApSJFGI0qsaWX4msndnA/0NalwZNLFiLwj2 3sACiA0V7IqiKHasWLeeGxcnz2RubjJ5M5M8ry5emxBC6GT08BCmxUJoYIz1 xBEhzNcCNrCRTWTZH6vZulYn6wKdqst1ii7TcTTRzB720kgSO9nFdgrZQRG7 Wch+itlHCQdYxA/KGaKCn9Txmyp+MYM/LGEV61nHLFZE52SYM8Y1QedoTHM1 UefqSK3RUZqnK5nNUqpJt59GjnU+29jKTP5GM2ELm2mgklpy/LNYz1HGGUo5 G83LtyRWW+fqGq3nCIc4zEGOcZRkTnCS45zmFCm0cp4WLnKBVNpo5xKX6WA8 V7hKJ9e5xgS6uMkNbnMruhf0cIdu7nGXNB7wkPs85lE0K3p5yhP6eMYkXtDP c17xkgxe84YB3vGWTD7wkfd8YpAsvvCVz3znG9nE3eUqKqmgnDJKKaGYIgop IJ/psf9v4R/tcWqC "]], Line[CompressedData[" 1:eJwl0UcvhFEAhtGLGQu9dxJtgQ0W+AkSXUj0MoORSEgw2uiSiRYL/FidM7F4 cu6bb/El9zbHdia3s0IISb3mhLCsuBLa0o72dKiULnSjtLIjIdzykQ9qi4Zw zlZesJ3X3FSX8wDvdaoe+4xXSqjT7uedTtRtp3ipDXXYfZn/qdm5RU1atxu4 xkYes55x1jLGOh6xhqus4gqrechKLrOcS6zgAcu4yBIusJRJFnOehZxjEfdZ wFnmcYb53GMupxnhFKPcZVqDetaLntSr4PsEfzSu38x96Vuj+tSIvjL3pA8N 601DetdY5P89/wBO2i2B "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1334, 1333, 1426, 1573, 1700, 1610, 1699, 1611, 1701, 1654, 1834, 1655, 1676, 1675, 1576, 1703, 1704, 1702, 1706, 1705, 1577, 1677, 1841, 1678, 1842, 1657, 1837, 1689, 1836, 1575, 1835, 1693, 1692, 1691, 1612, 1656, 1828, 1574, 1334}], Line[CompressedData[" 1:eJwl0slXDmAUwOE3fGWO2MtWQqWUMUMLC9InlSENxkWHPX+ChRV2ha15SpE5 kjLPMkWmIjIn4ulYPOf3nnM39z3nji3fGN0QE0KoIRoJIYctZMSG0MlHOvjA e9J5RzuvecsbJtPGK1p5yQvSeMZzHvOUJ6TyiBbu85AHpHCXe9ziDreZxA1u cpXrXGMiTTRzmSs0MoFLNHCBi9STzDnOc5qznGE8dZyilpOcIImjHOMQRzjM OA5wkD3sYy/72caOvr/HhbBdx2gix70XUM1CatjUt6vZZs2lkip2MoVPLGIX u5lPJlvJ4jN5dBHlC1P5xmK+ks93pvGTJfyggG6m00MhvyjiNzPoZSl/WMZf ZhJj5+UadIX201k6QIu1v67UiGZrnJZorJbqQJ2tg7VMB2m5DtE5OkxX6VBd rcN1ro7QNRqva3WkztNRuk4TdL2O1hytcMslkf+3/Q9S32fg "]], Line[{1425, 1395, 1399, 1400, 1401, 1402, 1554, 1653, 1822, 1652, 1820, 1651, 1821, 1671, 1819, 1650, 1817, 1649, 1818, 1670, 1816, 1647, 1814, 1646, 1815, 1667, 1688, 1644, 1813, 1643, 1690, 1664, 1680, 1642, 1661, 1641, 1831, 1830, 1606, 1829, 1660, 1672, 1663, 1839, 1662, 1681, 1607, 1832, 1645, 1673, 1666, 1840, 1665, 1682, 1608, 1833, 1648, 1674, 1827, 1669, 1825, 1668, 1826, 1683, 1684, 1454, 1425}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c81e/7xxORKCtKkYoUWW0Jr4YSUdppKD4iZRVCSpmVPQpJGWWLhpEk 2ZuzHeNwzrH3QYmI3/l973/ej+fjfrzf931f7/t1Xa9rk4XDmZtLlyxZ8oFn yZL/f1afOdGsyRiGyPL67VdDpzF0LladR2oEVXZE5m+haXhaOm8NtR3Be+Oj rvrGv2F21CDobdkIUrwk0nhjf0GTYbt169pRbDWZVO3hTKHlZ+UjWctRjKpn HnM0n0K8yIvbsTmjKNdpSfOjT4J2dq4u6u8oxPKMS56fn8TB9hwxoaNjiD0v EjLVMoHpK2uPjoeM4eh0vrHB9QmoOw3Oa9HHkGSZcnnDMAcp/N3kg8LjEKkj mMbGcvBtjSCZg3Esff63TtSIg5NfZz30ncZx6HlVUPXCOGY9ju04lDIO/9tr t43fGscqMde9bfRx8L6yGLGkjYGUnGtSyRrHI+9fCtXfx0A3vKf7YWgcwzsZ mw6/G8MbEdG/4VPjoBwaTaI+HwOtd/iR0/w4oudW2Hg5jkHo042MC//GEbVZ 1uSv3RheRj1r2s9dl7cp3tnpzhiObLQYklkch6KMD23k1hhM5Q7cD+EyL6cu Kt16DEv+Nziw+t8YQ9+KlFpNLv8dy1GVvzmG4IhDEXe5fOSfAR/zvzG4H/5v UzeXN0msI5iaj+Er1TTrHA8H7rvWtZLNxnArTGFXFZc/h2nJnbw6BvYm/vDd /BwMSmlNbDoyBtmMV4aJKzjgp+jeWKk8hhDPf1eFRTi4LbxGQ1RsDJLfj1e6 SHAg2bF6i/LMKPiNrMsaVDmQSBY7Hcn9r0Z9um09+hwY3pGO5qeMwPiG8r0i cw5C6mTJF4+NIMhZoM3Yg4OzIol8ZkXDMJIOP/HqBQdRczMbpnYOgzyUvWX7 N+7+vVe69NsM4erXpK1CXRwserdtHE0exMEnAtlqvBNQqYm7ntg3AFymxwUo TsAw1mgqc/sAytuHr0kYTKB0nQX/D+d+nH+X3/X99gRids6ahJf24YvPLcXO 6AkIKuapTDb1Yjo6/MCa8gno1Whu8mH3QE0s5cqRkQmImQwR6+e6UWL/gE9b YhKnrxbtsVnXDb/ae8ta900iaN1inpAuG3qcvBiO6SSijNfHuFixIKwl/PSi +yR2Xjr73j2SCcdHWxxrEyehcCPr2VFSJzTK199KKZ/Emc9HMjXDOqB/Ler1 jc5JRAw1LZ+80QbSFq2O2xOTMEq7QprXo8PeBde15ycR317Pq61Dw5+H2ubn FyZBUYrraDWkgCiel6L3ZxKOHiMiux1IeHRx/ecPfdzva9nrVmQSIPXaXJ+/ dhJJF+vclHMaoW514Mbp+Emssool/zleh4RnBotJNpN4lauTxNhaDYaEVrbJ tkloi442FxpXQO+Ey7Wp9glc3KLgs6aoFPvkGZP/+U3gxs6iRKnOH/jb3nfr 85YJ7JPaUnG76RsCfxffWPuDg7xSU08iCtBq2MoaOMVB+tp78sxtuVjdWNSx 8HUc1ySyyqo8PyFcv2fyRt0YqCZa6/lss5Hy4JivO20UvZYunjN+GVDPXJ8V 1jUC+0PaP9fvScWnGpewjP5hHFT5Vf/R8j0En5kb+HCGoLyeb9cMTxK0pTNr Q+cGYbU2Xqh4Jh4heuJ7l64YhIxeVtVsQBws3t6XedPbD+uu1ZGneF8h8I3g U53aPshk1NgQ5aJwVuqVSmdeL1S/bstWLY2El0pcg2JWDwJHZNYbN4Xj/b2P zo+yuhHoaq+huisM9S69vJIFbCzIn5yuKAlG1nYPwdl6FtqrjKwCQgNRMnjc eM0wE2TPfWkBpc+x8KOtbCW9C2t165wH+J7h9vj0cMNvBhyFBcOU0vzBvmN6 10OtA31CUsWyr/2wIkLLTNirDUM9y/sdiL5IIuw8bjFCx+DMuSsVh3wxqWM+ edGhBdfbx0XFen2gT3wdUrWchuQCp4mN+T442e+jFVBAgeqL0LP7Pvkg31is r1+JjMzwB6bnu31wRlNb8c43Ikr4V8QTTvtCcKFDa9GKgOstEw2cOV9s2nhk z8UrTRCW37Czle2H6FNGe5WlG2D7MsffTPApjMZbzszz1iF9u1z5lNMzOObf LQ5aWwMd1QTr9G0BuDe+/Rz5bBW85jfPHlAPwra18loZRyow6WjwSOxUKPq9 jAoEbcpwIkdvaDYkHD8fx/9YUvITzZO3ow0Ykbh6mjah5v0DgUn+ZzWTo5Dt OxIdSCuC3SWZaed/r9ChKHSH4lSIa6prFnbzvMWPm04K3mcLcPkL2cLuViLM X88UfHXIwxTjY6WJwXuknM8J8fX8Atmu0DSWeRoSBg1mqMRPqFE6Ncd3+wO6 wxxeSP33EV/FT5verf2E7XOfsHgpG71/a622BeShXVs7Z+F0FgafOrq1SH6D b+KDkINpGdjkLretMKgET16/8O89m464WpcCbYFyxOnKJy4+TIPlNhF1x+VV cKW3Lf6gpGL7YHlgh20t/GsOumTcTEX0uaTO0fwGVNDXdMpLpeJweHJA0FYC lPz8W/m4/PRx8LTTNgIUPIbbeyVTwTh29s4VJQLeBB3rreLyh7zpgcPKBHgF Rv9O5bJhrKuD8nYCvht0Cj/n8kwZdUFMhQBbrwsGJ7j8sfCEOkuVgMuu7xJX cvnGrt0+H9UJ2FFULklYnYolCcF/H+8g4PWefTH24qkofTGHpCME7IvknVoj msrNl+kXSOcJ0KmN2tiwMhWd1w5oit4i4Pifq+sDhVKxbkyu88oDAoKXRumc /JOCCWMfc+wm4qV90rKd/SkYsfc4bDFFxIDIlpxN7Sk4nk/Riy8gwWtquYgg OQUx2Z/56p6QQeQ3iqQ0pWDJr2lS9kkKjl9XXPaLkIJ7feVZuiQqlOoOkhjc 9wMW847fkW7BbMiiQsNYCkr15kUe3qJjtdHeij28qXjkX++01aUVh28WiF2T SYWrQCbdzK8NG1fv+qqklYpI8WPh7jHtWNhS5OZ7NRU3Zb/8rfrQgQG7ZcoX fbjna/itGFbBwGq5T/mvCrjxac83vCbRhVvSp+L5JlMhtP8Ta06DCXfDCwOu O9Pg0HboQVALE+fk7CupbmlouDBvUPKQhR8VppFLK9Nw+35j0x85NuJ/Xib1 SKXjklXktYSfbMjJen2DTzqUsuxliF7duPnipuDEn3T8ytn4x0ynB2TtkQM0 5wzESFin3Z/swUx1wCXibAbeuP6s/C+hF4uZkYQa/0yEPx88G3GsDzUNl6+n rs/CFeOr+0J7+rBv/wsho7wsPPVx8zzs2o893MPY7PsAg27bJsmBfqy2L6c4 /PgA4UpXtwtnB7BqwHn3FcNs3H70OJ2ncAAPWZGdSu3ZGLRt3LVBehBynhrn 2x1zMG7eFFjkNAiJKw8j+Fd+BAy/nooiDKJN86RPkOVHpOa3Nm/eOoRy4u8u npKPSA5JSw11HYK3mvCIjcwn/FNV+iJWNgSpRyfLax5ydTfPF8rmH8Z31pXT 8sxPqM9sPIVjw9ASdL0j4/sZBmkTy/QThsFJfsdfqf4FKmYODI2xYXQHUE9p d3+BVbD720WNEVxaEZiZ/DYXn3MZQjk2I9hTKOq0zSIPpVIaSuqvRhC/JiRv XDUfTy77Cpr/HMH5uPF5paUFUPUtpK9mjiD0l56X+PKvaOm2nO6ZH8Gx/lDa f+sKoSKvOWQuNorXUToCHvu/obzPVtlnA5et1TZ8u1kEszrqrNyWUTT7nPz8 NP47rpSpMSe4HLol++7J/mK4FWvZRG8axU/R7vSHOiX4uX357yiuT1Yb009Z Rf2J3bt/psUtjsAo89gNOqkUB0KieRR6R7BV/0VsVmcZ0ps7A+YrRqDsRr28 erYcpN01Mi/jR6BS+8EnZnMl1BNMPum4jOBc3cWDP69UYel/YVUqXP916T11 j0hyNd51c5p8xEcw/IWfmWJQi+m88r1/G4fxMUJPwlqgHvqJA7ebvYexeE/G m7+rAe/Kb6oOawzDgR6ru57YBHulPp9N9CEQ3vDZLXcg4OJlwaC9bkNYEmdo v8qHiCvzq0pYokNYvacpM+Y9CavLvzIIiYOw3Cvz6T6ZjDxLOf8M5UFkKJYm HBWhws02niCaOYD3hZXLrS7ScPqagvD7zQNY55zqMruCDkb4i3e/rfrxZZgc 7tzUin++Ezmhr/tAV0zgXf22HdIryIa0kl4cKd3X0+DMwPSxS0VXyT3o1yEp SBl1IXvAWHiB2o09zc/t2oKZGFv9Zs18NRv/Un4X1dqycG9PXsqWDBamfpfr 0rXZkJR9osLryYTtNZce3VY2ChXeLH7704ljwbuSTll0Izd/L2NpfwfSVdm/ 3MndsMgcGuY0taEysoCxfVsPBsQWTlbl0bm+5pWv7NUeqCtLCTGSaPAFQfDF nR5MjVJymwWpkEmsNhf/rwcrn1mum39Ehhv5XzT1UA/yMvwexfKSsCfjjnel QA+KryfYpb0lYNWWwspned0w6affMk9u4voWsbYAo25keV8I33m0AefM9xRO NLHRRP2cu7CxDh6rvEuyLrHx8ZLd8PlnNfBbsLzd08KCg0XKy1frq5GZOJIe fZIFSXUlw4y2Srikz6rTfjDh+Y1vA6miAnmuojFZykw8EGpPG6KXIzw2zk5x G9e/zG0Q85Msx843EWE/Zxl4e6g7UtS9DDoit3UfNnbAoW7k3TxPGdS28JsZ prTD3m+rJDW7FDLUO9u/+LeB3lScc9GzFBrLbCdojq14U2V+zcehFJeN3s9d PkBHPet5btPTUqh42c3FrWnBXpPNg+caSkFpOOGlIUCDZLD1oZU6ZWir7Lu/ XYiKu8uqhVzbykCS/EY8oEDBMS/y/WfJ5eg+M/Gu6AwZ63poVS/jK7DXtqe9 LIqE2azWfI26SmzO1763l0PEaMfa54uK1ZiIHQ8e1yfiadBN4g+eWvhEn0/d 9J0A6ZkfE+Zb6rF7ehldxIiAJx7VQs8iGtEmoyzQONoM8YB82QV5AkQqQ0Oe uzbD5+Ss6apEIs4c3nzFf1czBG4dWqGqQ8YbvWIyR64ZkXIvSpymKFgpVXF1 VqsZ0193ZJoW06DzSlWQ7t0MJXXbxo4IOk6ryHxwa2tGcGfv6rWCbbg6+uXD VkUCqkWsowUftiMsfx+h4g4BXx60O1b2dWDjb9t1H4oJIFNj3R7rdSL2mKDO w/VE7K66u+1bGFcHXrOEZl8ivNLJOgX/MfFnwCP72CwR0kt7FF5OMiHx2EL8 iRsJUaL94eFOLLS1FT5bt5QMMfJ45dteFg7+LEj8/JKM2OamUr7jbBjornJk 7aRg7On0viuxbNy/85qs1UqB7im25ZMONmZqH0SceEYFO/ndmpBV3Yh5+PZI NGiweZQr2aTRjUWzdYarFVqw+Xf7meij3fhJMaI9EaejiZ6g68JlLYuD778J tmLAYkn6vR3dGOPLG7+/vA3xT3blZqzoRsTDasaBle3gu5d/R4fEhtZwa4+p VAfu1/JVHH/O5UvNdr2bGLA+e92yV4OND2lz/z6qdkJqT1C4Yh0LFYJyeSLx XThsVrqfoMCC+umV4zreTMQ+UBbzvcVEgufwinhlFlo+pP5L1OiC8mOKeWM5 C0cHb6isdWBg/LqmtT83DpISxvTuyHbIikhJXvrCxtVUP4knqa2gF0mTJhfY iFXuEnj0pQU1VqIaW2W7wS+WRllvT4PIquKbHOVu9Dvv1FqhSoXpd5dZj63d aPXuV709RUa8RnXeCfFu2Df/uXC2goTfmrY8esNs9Or84hQmEcEqXPs17zMb dUc1g8+FE3AzUM3SwoYNd7JtrcCWZozlSVm4i7KxyvQpzdOkEY+DLMqD01kQ Db6QJ55WD+v2Z05+e1noC+vQa1Gtw4W39fo+hUzco8mvnWfXoN2TrNG0mwmR jLMVA9XVKFy+TtPxfBeWWKkOWXZUIZhhnbLyQCd+aPW4V8lVwSrQ63DpBgZs hW1JG8MrUSoZ6enB14FgWt4eR/VKzD6afFs83sa9ZyZ3f8xW4LDTDtmw7las vOk1oztegV2KZotP2HS4pAlQzEUq8aT+vEHaWAtuPSt/xjCtxDU/ObPXLBo4 jfdjXw1UwsJWZvb2MBWx2z4eWPxchba1bw/5r6TijXfukY7CanjuzfCmHqcg ynTRQ3GhBlSnXn/KGzLcZSeqc5/UQc9iaXG6MBnUi+JqA4cakC1HzN//kgSR iYe7jx9qwvW18iL79pEgJJ98JEiXAMdlcsvVJ4l4l2wRNONGhGN236XISiJM d7oH7mwkIe7PvfTSj0RURoTE/rePggg+x12CX4jYdXq4JegzFcvMrgxl1xOR QBiKjNVsgYPJemcOV3/bmN8uvyyjQ/pQ2/lTu0iIODCZ+GBNG0wrbKIXPEhw yuXZ62TZjtP/WoQ3lJHwtmRwVP12Bzpllmn/ECPDSpyU8MGSAS2/35YRt8nQ Va3UeXy6E0brzm80aiAj/3HWsItaF6wKzo/E7qVA9p5JcOZsF8xq78ZvT6dA fUtxRsUlJr4XXvqeKk8FsXTH6ZsZTOSXmM6406hIsJ6O2bCchfj9Z+KvRtHQ 50fkbD7NQgI15EWcVgsSvL5/ZHH97ad/nbyKfS1QC3Um98Sy8N3S2fV0DB0D p/+2Xc5k4VFuUrO1SSusKCofQrNZmLDfuTlhZRtiJi5q9L3n6q/rXphscxua Pd2IpBAWJkeTtoxydWUc2D1P49bpDeIH6wqiOiDgU0ahqrNgGlWv3xDLwAqq bu8Ik4kiH7K1yZtOVM4oFNl6MXGGZjMt9boL09kvSF/Emag8OZJ46jgTST9X Nd5Q6cJzkwQ74WImHrvv7KpZ14nuzkiLfCUWbrkSyqhTHRDcM8NWDGIhpEHo 2N9v7UjX3/R4G5uF1f2BF8aduPtUuMr3TIkNGz2d7YWbW7FCPddX+QYb5/Md 55PrW+Cet5Z3my8bin+11+s50TAn2pMwGMmG8bnfrcYbqOj33KTaFcaGYE6c cZQQBZs5XrtnPNl4r9z3WZiHDPHcfspmMzaibq/5tZOHBDHDiZS3amzo1D1S v7qKCE3LYr9FDgsl6qrmcdz+z3qAr3R7Cgv6TALv/ZwmREXoxp0/xYJIW/Ll c2qNuMxHuMEZZWLO+k8oP6UewckNfYk+TMgF1gyJJ9Vh3YH/6Du4cbolplRv 8aoWcn+CrnP2dqH08bufl7/VQPpCe33M4U68PbFZdIavBmQhH+lRQwbsvu+4 xnGrxmcJuyvHznbAyey+DUGyGpIenp9yzdrBFhFzXdNeBc2tS6lTDm0wJlTF GNdUIeO5nt/N563guH+bkGBUwb/wJVv0Ax09qi1uatLVEFBf9Sq5owXG/E/3 PX1YDZ3nK4u8uH3emHjeru0CNSjfdVG/0JKGu0qWpw4V1qDlgrP3hhIq8sJo znMRtagpX/XQUIlbfx6UuXi/qEOPrMrx5HcUzAWJKTCK69G7y+uNnRoFDYOp luRVjWCW7y8S/EGGyMfGjTWFTWCarDXMsSBD3uAdw9yQ2y+rGMbtleH2pQbU zSEniTA24Yu+PMTVa4Y8y9mahOzQfvKPBhLGefJuOEaQURoW6/mLq1eZv7HC mxoo+BIaJ+PJnY+3TSi/J0qDhoK5LWmAhJBXPCc+XW7B1cOlHmZryPDSMKnK TKbjj8zhlU8vkrGobbHQM9yKXtfTbp4xZBTXFwcUjLVBupJn+a0eMuxvLnTl 9rcjxD9Tq0eLgv3W3mOrKB3QOqNOC31NgQrtAf+OTwzEfFW15uWnwi6mVKL5 YSf+HeGLIblT4bXUJpizuwt7plwvB05TQR25MTvd0oV6EfGu8a80uO06V5do zMRgo3iNvHkLLn7OvBAQwERBilsXlVuv++M+SRgUMGHJ1uYRb6RjT9DouiYy E7yjWNoQ0gpxnlTWIa4+k4gLxzsutMFs9OvxuQ4mhMOMrs3Lt+P9D9479+uY eHaw9EX5r3Y8ebTsrVE6EwYRfrzvq7l5riByqdoD7r189rW3n6t3Zvya0g4d JlIYB37m2HYiecNyytmhLhzI9Ng/b9uFMLfoODHJLsTt3SddsoOJbMX6pgS5 Tjhmdm6sTGYiU5b4rXUlA1NW3yckRFnYzUcu7epuh90uHhMpexZeb6B5K6e0 wV5Ik72jmOuX34sfCTJtxcyUcSfrLwsvoh+W7eCl47PL7xN0BTacqsPHo9No iKac81bYz0aat1Ch8ykqztvH545psjGxWKEWoEdBX3r9+CI3X1hWSqb0HyQj IcJyVEeYDSuba/v265OQYlEvwO5iQYDRgnlTIh4se3L1YTI3b4aIRtp7EGDn 7bh58hoL5zo3SvNcaYbfhbeyritYmNf2t43ubsS373cdvLO4/Q2bLbAhsgGf Fp5+LjnKRHlFqoDFnXp8uG5mOZfTBf6zOVKhdnWY3lkfr1nXCXaFibd+bC10 YzO1pxkMeK1+3lk6UQPFU9enyWMdqIpbXjPgVIP+zQ6r9y/pgBtjJsB9Yw0c KpKXHpZshxz5uajcn2qoldlH5Wq0QaW9Y+9TLp+aeGDz91wr2nl5ne9uqsFr AV3Djb50rO0K0M13roFj2bqXrSUtUN8fJK/PXU/S5tdxf8EWqNpv/bo1uhZx luY1WhY0BB8WLLtuVQdfgTfWNXVUzMeVS/eb1WOy5f76qiNUuH8mzAU+aYDW 0qctH5ZRIV00krZRvhHLjr6n/6qnQAmhKyUJjfg/WIuZng== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c81t/7x6mUpI+kMkqESFJSooxXaCmhZJWRkSSZkSSEFBkZKavMaJER UXa2jPu2b+MeIeuWvfndv+/55/14/nO9r3Me57zO8+wzs7t6ax0TE1MBMxPT /3+7B8pZj1fO4MKVvQcMQ2aRvpcWVds/A7/3Iw5rXLNwWa37FbdnFu7dCzLK Z2cQL+f7gE19FoOHG2IRNQ3skGDf8mgW1Z5HDYympzB6kfdo1IdZzJ69SljQ mYL1pJt8evssdihd5fMrnMS745oiqixzsNt8MtX74CQ2cg76aknPQWg8Xv9x 7ARE3wtQFTXmoLOWdmX07ARWwlW2T9yZg9j3RVHOiX/g6gzcZPV0Dht/UPTb 4v7BPC0rKT5+Dpqn2mvE1P9B589a3psfc5BzrVDonxvHftke0lL1HCK/P18p ThvHn179DRptcziX7mR68fo4fC2zB4Jpc3DJeqrnxT6Oz8MX5Yr+zUGhKmnV qJiOHeaqb97PzOHQz8838xLp+K82yzlwcQ6kye/3xPzoeHX/ab3d2hxcbydN f7lDx8NhvcE8BgcmbRJhs6KD6X9jHpb/G3Qwt13dcYHBzIeyGsos6KivdxN9 yWCS7T81AXM6zDboiDiwzIPFZ/nDz3N03BIKC9Vkm4e5ibOA/UE6ckY3W0tw zGNynPnRyf/oEHlsWXNQYB6ze5qavTPHILjN4meJxDyMztP4i63G4LX8TPqM 3DzG3gjL+QuOgWOzU0/OmXkwHTgn1Nsxip+aNfe2X5nHN9tXcwWho/DYULcU dmceGhVhKswsozB8eOFS+ZN51LZoF5xzG4G8muP3+Kh5XOBLN3wwMYz3SmpB BzIZ/YVZW3hZD0PXrolJv3oeCX5XVLX6hyDUW7Nvw8w8TggrVb+m/cUMyy7X E4ILcPicycbzdxDv83aytqst4KIl0xXbyQFwJTQl1zss4LZsS9PZdQN4uN53 dPn1AiKeqYXpcvcjdGnqvPrPBVwQGQ63OPoHQt7V538OLeDT3Yjocyw0yPKp D2pzLaJvIDDBikKB54fu+1VyizidZkIIqyBDQ/7IjmqDRdR5CSfomPeBEi1y cYPLIooDVt+ZX+pBfGxC6YGgRfRb8ck+VSWB9YzjNcrbRbC5rKvfq96J/ef5 jil/XYT341grx45WrGmruRzKWESmyPLrTjMihKZPXOFIWYTapQN2e4KaYboy lWoftoiI/9i4jic0wmOHsuOuB4vgDet/wGRUj8DNRz37rjL+p7neI0ezBvfC TrNX71/E3XGfvkm3SmRyk1XGxhcA8X2+pX3lUL4lqhySuQD9ONHPtz1KwbYF hzjvLqB3IulY5ucilFfmeGdvW8AJ8oHRz8oFkE/Tyzj9ZR7ep+SO6Jnn4vBI h2WL8jyuCnd9uMOajc6OjLX4xjlwu1Ovtuz/il+71yuQ9eZwctnzeL/xJ7DP OrtUkBjnvfEYh/vRVLy+NunraDgLlVMhAc0fkzA5t21ivGsG6xK8FVOz4zH4 sMfjgP4Motu+XbK/F4uTWSyBgy3T6Ldtusqt8ga/Vs+/6bwyjcsT/D27f0XA 5MekcnDjFDIFJiKW20LBaW/B80hjCtlSI+xbK4Ih9O5m7WrDJM6pFYaVJQeA iT93pvXMJA7ozRc96fTDIR/pfOXCCRT8t7z8X7YPGv02rLjJTcDtJs1OiOsJ wm8sWn7M/YcaCS02u7LHuCamEzwi+w9hdEXqxHY3SK+pqLxzHcfk2pf1uXMu qDbj4yt+RsfXiGTDIt37+GCp7CkfNwb7YbvqGT5HXNeZzjQzGkXz+zjVt0x2 2BFD4l4UH0HQhpGiPw3WyFJrPl2+bhh+3iVfm27fhnsNuc5+8C+4hqwNpOIt ENn92utT+yDyrb7+ZNEzw451XUy7iAMQcXApmHC8CeGPai6anf3QXwoIfFti hNNO5t4zQ38g+lbJLFbgBjqc1i12VNEg8p56ic9UH8PH9vnJfKPi5nnJ+hOH dKFMUVg4l0nBIWmFUm+LazBwnxTW/EHGzV8aO4OmryKJZ6+TZEofiGHaT9nq ryDO0iGRNNqDC28ro3x6tSBUoHROX70bPTJfE02FtOCZGS1hVtaFYymlVHdB TfjW6YS8/NcByr9hocBdGngQcJt4Xakdo40R62psL2Oz3YdfSR9asZjXdm0H /2V8ZslNt5dqwUFOFZMdvJch08OdMNhEAMXq4HpTo8u4MtOSfNm/GS+MkjSn Bi5Da3vj1Ab9Jji1hCaX5Whg9YdraN7j3zAQ/E9lxxEtjMRdSP8SU4vd/teV P165go1CdaU866oRmH6zK67mKizTw20GP1Tgxa7zpm0J15DTtyz7PbAcK+wr vsN/daG6UD5WnVwKzsMZmpGZBrgjUtfU0FmM01yvDC24jJBT6V8bIPET7yXi n53fYopLj56ONI98x5OmQj81KQuE5gRYdW3NxfQZgRLbfVbYM5CwZuCXjUJ2 TYng7fegxFw2YXApEz2u1p5liQ5YLeHcLZiWDsXRV/njfs7Y4RN+3/XoJyT1 RJLyrN0wa/jPvL0iFUluF6RnC72gennkzFJTMuJIWi6m2k+hcsPQ+p9qInp+ 8j6TPfcCK7b+N+s447HX88OsgmcodDpWXeqNY2ExfKOw1CsShQOdmuqiUfBQ 1HK2WY7FUte2ZdvJSOQ82LT1Rl4CZIJk9Ds3vMLKTU35htQU1Pm8c7R/F463 y6zFIc8+gLVWcJnNLAxb/ZXaXnGlI2Z215tGtVAMn3B6O5qViZjgnEsHrr0E baTltNrvHEw4/NFwWQnG0EAOf9/t71g4NbhWGRyELtv4KrGwn2B6eOeOnn4g 2L05PxZ/KcHIQua5EN0X2Lxj/13xO+XQ/k/hs4BfALbJD7X5P6nE4sfolUWa P4iyujluSzXQst0WTPbxh8fPtS2Ws/X4OrN7/7iCP7o33hH4t6sJDjpijxa3 +sOq1ThbtqkZmtpPwv/OPAeT1s1foSlE/NywUStz6jksVdK7iiJaUS47eMh4 oz8m7Ca0vkW3o8coWohN0h+BpoWCH7M78ftDViTF0h+Z7SZioiQSJJyOaAtl +6O1XP2tGHsvDrPwuO7mDEDW9ndbUgXJMN+1/6akVwBU2GxX/U5R8O6xm1PN WgDaHvbWTWlRIczHOeAQ8gLJnxeDNExp4K6Rer94OhBWBWUcl5/+Ab+o6YVT LEGoqjC5uC22H28srAg7s4LguGVT8W6nAdR2E4o7rINR8Jx0eEFpEGf4A+Ju HgmB+JGD8kurg6hndeWJWAvBiZVv7TlZfzEgKqWdee8l8pKU/KYNhlCmK7bT jPIStt0EvqLpIZiLm2l0Xw+F4zlbI1WfYYT/XusS7gqFa3Xe0W6WERQLvuLN jAqDRP3zQMPPI1Chh32UvxUOiyZ71ROKo7CZvFk1pRABKT5uKZWCUUhWxFbt 2vcKf05eC7LfP4YUp1hnOmckpNLYVL96MfzD85prE8drJB5aFu/5PQaef6nN /LvfIPQSv2EOw1/mf5McVI5H4fdbB6PfZ+iQrJTqybkRDbrxPubXDnSQHtK8 9IkxcF57XbAQSwchwu+jrWkcQhB/Nq6I4VuD1GqmTe+Ql6tP39dBx0bv5/aR ZvE4EEQ+ThumI8DUOT9MIwF9ae4hTPN0BArnFvJcSMRzPuLkLaZxNK98vtCm mQSLepWvxA3jaGh9+cLHMhmv+x8+7mcZx40tW4UtalKwT3Gdme36cZg1MLuf PJMKVtdNYR4rdCQd+77OoyON4aNrx19N0+G2L1ui/NlHxG1cct82RMc2McHp TO3P0C9w9jpOouPAx2LjLUrpMI6VT5Gqo6NW573TNZGvGJR17hLOp0NdhvSt 6lQmDFEtI5BCh7NVorCReRaeSCvePhhCh4ThvVNi77LBNljSr/qAMX9N/d1n x3OwN6h3ycyIDvdhYRvqtVxcunB1xFWZsZ6ziTtlm/Mw4hVX7SBMh1Lltg6/ W/kgyk3tlVlPB5+hwnmXGz/g4Fqd8rtrDBVnTIJznAuRbrh1jiNjDEnhoXMO ucXQ0apLLPMcw9P6jXMzHKXobY6Sea8+hjcNITrHr5fB0bTA0nknwz8/yLXz /CgH8UyJdH/nKGQd/GdFt1XA4M3YnpJ3o9hjz/si7WElxPk1Ot1NR3GI61Hp 3fkqaFQWbWvfO4oTF2iWx4Jq0PelM8avfQTfdT2RJVeH7JK2cLwYwViFrefT pXqw0HbbZ50cwQ0p14PGtxvRkBwp8rZqGDL2JyVXVppQscUt6talYTzsixKs NiSAN/0Y89lfQwgJKSASG4kgydPCnY4OoTCgcPq+bisEst3XRMP+gjZkmn9/ vA02oVJqb/oHUeIQtvXfmw4MHjONZZMYBK0kXVhaqwt3C2RftJgOwNSymBDA 2Q1F3RoPG/9+MMskMPZhD57o+O55mPAHSU+Xqmq29MHNdJYSukTDA8NjUSZ7 yYiQDr0RqkGDiRCl50gOGXzeYQkJ0VRcOs7O2nGWAoWDxg/YyBQccUpz/9JM wZnuCxUnBCjo3uMx3alDBbmo1aZAnwz1Vi9ukyYqzrrRRL7y9aFH5YskP2io 0r1NYHfvwbmx8rSedzQsKIom/G0nQT6PS9XsHw3fb68r3Hm0Cz7P18s/PPwH xl2Kvh0BHXCaEq7epf8HnJXns7r/tsE6Y720090/sGuKGhHQbIXKINOUxO0/ sP9qF9JUSgS1TtNY+OofyB6S+dkUQgCz2cbOs5J/0D1uE+tn3QzHBR/r7/M0 XBfqMOvVbkL44QW98Rwa9r/nPMMb0wAyU3JcuhkNT/Ye0FjNrEdL4M+/LOtp CP/vfF0SvRZ+o8uKF15TocfOZxh2tQaC46tVa4JUWDhcfJLUW4VREWJHbwIF cnQX0a3hDF9OsbbN2E3Bo741gotdBTZa2qWpvCTDq9yjcKfTL5Qh/5EpMxk6 9m7P62PLUSU1ruZJ6cVWkS0Bl0bKMGIcPU4t7oHFT+EtR4zKEOmY6FsT3424 085ZvBOlWEiVuJzvR4L3dt+9tSml4BXKeMWv2QXiuythCS6l8Apnlnwo3Alt C7Wm/Xal8BscWx5l6cDw+jF3n+BSHCPXVfPPt0Fwj+5j3ZZS5O23kVRdaoXt pz7NtNNlaCgTMpbd1gpmAfePf4ll2G33x8VPtgWyeWrD5OByjO4Qy3B3IOKR Ba9XouMvBAk3bDhWRMBIksFxe68K9P2ndzyan4BbbLqzCfmVKG2MiTlg1cx4 j3E/y4yohqqd84pbcxM2y7mM1hXWAtF9WyoYvjU3WPN+SuY3WqaUblzhaIKB 870icZ1G5LKKt3360gj3ZL6YjqYm6JJ8yvOMGnHeN7f3LjsBboXFbq2SjSjX OVmleYMIot68MRd/I8h/41ZaC1owE/1C/cnBRlgE/sxLEGvDoYR1h6QZdf3Y h6dy4tohRZ7lUYxthEaRrWsATyfsjeSlilYbwZua7CMf3oVvT9l8RhSbkBX7 72k6azcspA9PND5qwrtHg1Mtsj1YyC1iNytrAovr/uxFw15EB5JotzibcXuc dM3FuQ+spn9c4xnz3yruMHQPZPAPTbu1VzWjavh6qy/DiyMvPh5tOkxAU3V+ L89hCsSf5eZcjSMgSq9n0TaSghjbPIlLd4gIp4REuh6mos2Cf+41gwXqDml+ YLDO9LaKPwzuo4Wv72IwP0fYq6PWRAgLVmSzHaFCOjXeyoPByvdLTOQZHJWu oFTH4PCWp5tsGHzSL4RucZcIX+9kjd8MDszj/rDK4PTuYd/DUlR8JLTce2ND hJuf/scQBvtuldOIdSRie0XlE73jVEwYmosnuxJhtZ2tnEeOCggnrmR4EGEZ 1GBDlKcie69iTbEvEd8V6h4/AxVTcyKWJ8qIYPulbihizsgbmUMHpZlbcPLH tLG4LxUeLEf2f1ZuQcs9PvuIRCq2WIQqxPm0QFCPtOtWEaO+3Zf9q5Ut8Kxx NYptp2KwmWshRKcVLl40DSXGuWWz+PqoZqgVLNalwftEaNjy6WOa6J02hh/r 0h1laXDl+16/dbQNR04b/ElUpaE0eb5Pw7Edpu/U6nou0MAjxqGbu9SOx47D 09rnabDO9Mpnf96B3aUcHnKMXHvko3x2F3cnvJj1DEqkaMjcOlMir9AFM/dU 9zBmGvgp80X6+0m46yIQzPybinN+N4V3U0mwYy/wiYiioopXJuEy4zyf1XBW kjOmYpHZUfGISQ+ieznatHZTQZRY1hnj70VgiQGnMiN3lbVmqxNJvfin9Fz8 rhcFJXyvb+i97oP/oXWBR8UpuKu5OWtNjAyWnWXdc3VkLDPR79SkkvHivnZ2 hCIZvxaX9kfuo0DzhqcBx8U+PIqtc/AOp2DxUayjzKZe2MXbeAYtURDlFEi0 +taNiglSV6IeFa2Cbbd+6JEY3sB/LC2FCn2ee0EvJjoxbd8fE0KjIjd7VtTP rwMc86XnbDkY60q+PR7P1w6dBS/e12I0qO5n/7ElqxWaHWdy8w7S0MIVlsJ9 pQWG5vl+m/lpcJj1ICieJKJ7q37AcyYaKn5yfUmVICBs+pTD5VYqil50pTw8 2IzDd2+2F8ZQwa6/IyVZtgmOVa7jgdeoGONxnMv40ADlTez0PCYqytQIr8c2 /kapV5yOByOPK94oHhbxr4NToV2YrhwFf9tY+ZuO1jK8jaOzr5IMd/uzp5qZ axCfGeZO0CBD/L32kvtCFXhSOkXISX1oj442y+OpQr3kd8WhpF70xG5t4TCp hOuT7f5cCT0oeZ8/3ltXAb67M4cfvu2G0pXJCTPjCtSSrn8afUvCg+oLeR07 K6Bfrjk8ntwF5/uRR19O/MLor4k3PhGdyITuiOPUL2yKNHfwf9kBiwTJhMNC FTCWNn4jENOOHwqdboGPK8B/T+cu/Vsb9uru3ZPMUoncLeYUGWorNrDtOdhc UAkuP1ozSbAVvbxxavFxVZAySF576NgCk/9Or2SnVyNjPuro3XYiMoZrWhLo Nej0OD3apklE1BfvkGqjOuS9MYn9QWL4ScJmbcHleuw09pecc2Pkt5YwaWNN A/S5Z4Q0JAlwWT2p+tSUkXty3wwcJptx7nkqf7dTMziYFhPX1TYj8FJ34Pco AibyhS3fZDfjfMHhsvdNRARaN7uUpDfD6ciYi//OVrh+enhm3Y9mBDONWcZb tMGk+K8Xub0Zx2c9X8Tkt2MX/6OrXRsIkDyYSCjg6MQ2Dn4BG2UC/rJ0Ws2b dsGG9fssRxABXhe4hU59ImF4R/560TbGvf/N3SYhoxubEkjk0gOMfeWy+exS ag+uf6OJv2Lkz9GgvHByaC+MzSe+aA4RITe7WVjybh8Gvu2aeKvbgv4NfZ82 8JLRdiQpTLK+BVU5ZiMPHMloMReOSFRrRWoSz1e9UjJuLl5SW5tqxc4Q/M7c ScHaA9ZHhR/acOvskkauHgW67lnPVu+0o/veavbxZxQo3onXazjWAfprCU61 ZAqoz45IC2zshNgdJ5vLGRSwDzUaVPR14pRM4re6NApma2T9HYu7wLRnytwh lILRNIP7mUkkSCurarFYUyD9+cxDSkA3bGlr7DePUfAq2TZf2qkHz2oGv1vS ydA8c/qjRkgv+G+d57r5jAy5X3bbR1L6YOLRwzmylYydUVsMjxmQMZXpIdSx qQ/PpDSi29rJUNm+l1Ld1gOupV/GwuoUxC3HDc4EdsN/4b7iqWwKnnB4vGE9 QsJyALPc2DIF06UlVoVrnYh+pS9RepIKn5tbusRrOmC240WZkBUV8r23Sz8E t8NWaCYh1Y+KcK3fTOXabVAIDt8hFEFFO1uGEveeVnCPl2h+C6FCW1NZT3OE COifcf7rSgV1T2QEcwUB/lsdZXM1Gffaef+AiM/NoK2/3RO5g4rVdsXAfSlN sKmQKvKupmB85rVHjlkjugUy2EZtKLhUPfRl6P1vFHnq0zLWUzDBPeSsylcP Tbn+pbVgMmQ11tO5i2shNtUgf1mcjKXWAZGDtTVgNRqizj7uQ2SI1wuluWqo J6T4NyX2QkpdRcT8XDWKDp1OI5b3YO1bc59dXhUC1QlmQbRunCzxi+W9yPBB 8dzLJhu6EVj4qXL9aiW+mJxzdDlAgmv2YHgjoRLpj2dcpo93Ifj0ca8TNZXI fueu+fliJ440TxZeGqqE9OB2pby7HZg6Ys7dKV2FbeMSGQ1R7TjEuv0BIaUK 44OvX2m3tYGQUXtZS6Ua/uF11npCbeDnlGH2Ya0BD3mmL8WjFSeShWrfzdeA 3VwtoGGkBYp+uoFV2+tQ+HKV/bB1CzISjU3+6tZjMEDJaXaBiNg6l47oX78x T5sLPRHD8Acbxfjl6434J+V/i3yZCHWIKZwNbMKEYoBjAycRJYpB8h6Pm/Fd ck2heoAAee8nA+GeBIy2uIw/rScgX9e96/5LIqY71S9nlxGwt/JJUMiXFuwm 1GyerCag2DhpopXYinaV89GkXgJsb//3q2atDUkzbRHrNhAxey/2eahkBxY+ XG/kPc3oJy0zTflJJ/zvPFK1fUzEoIh598+ALmhQOM1EKxnvgJVnvy++IKG2 4oMwmbcFXd8NZ8Y8u3HQRPaHjGsL1lVevNh7qwcTGZN7CsktkJTjYY051QvN wOnrm7QZeRp2euP8Ui9EKywb3zUw7q3+V7qiaX049XOP79/7bejME9/pfISM ENMkGZpYO+7HZnhpu5IRs/QjxnWgHXwEJad96WTssWMrc87oAKmcOJjVREbh nnmeZ4y+1wvdNThMJmPwS9e5Yze6ECN8L3Glmwx9ix+DracYff/6W1ZcxeDb Ey7Re7shl/gsXiGBDO/3PV8ebOjB8hX16zesGfU5knIlhhnzMPK32C1CxvaP P1I7p3rhJ806p+7ZBz8HecsHM324Lj0S3hrWiwXe+ARuZzIunhvMbfDrwR0n l3zLATJyvWlOvibdkJQc2b3EyBGSb7KuviMJLAT1km8PKRCMne987NaF/wPJ /gA7 "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFV3c4lf3/NzIyMsrTshVJiYw0eKWiaT4pEUUhZVQUGiQeacgOZSscWyHJ yN4cjnHsM+wcZLSs3/n+9bv/+Vyv6/5c931f9+f9WlLWzsY2bCwsLCRWFpb/ rUWbA9QMpWfh4KXFcTnwJ1gfDrbKnJ9Fuo9VDaNwEeGnWPxY385iMks+oyVu AXdDEhW3Ds3i+g7hw6PR8/jgXsG3oPQDtn0Fos895xA1ePiSk/cP+Bjq6ife /wHHX7fTLIg/MPH3Q7a79yw63L9wjO6dg5zmylnjnmkk/nYr8PWfw5hIdDO5 cwoCzUsGbUNzOMpz6OevH5Nwq0rm4z45DyedP4a9xeNghLrHOKfMo7uJdEqb MArvCtvg2bV5TK4aFRXnDmOExzL/vMEC8ND+1YN2Gmzvlyi7P17AthHahFMy Ff/eT8puSl7A8sW1o7t8KNhY9HzbZMMCDKMLz7UTB7FgnaNsM7EAr80772hl 9ENkkn+UyLqIFdP8jNLIXnAxlhS+bVwEIS7QrPINGeAJMqgTX4RLdmjk3+Qu cEq4d/lIL8JHLqxbp6EDMoOZG8wlFsFDyazv2UfCOcqSYYvIIiwG7Xjtk9tw 72ZvfSbHIhyOLxbXKRLhtnump2t6Afe0c88GhzajOPPPG/W2BWTv1FcwmG2A qEmDQFPGAk5vktETuFeHs9Sf4mneC3jG4iJVI12Db1QfWUXzBbj55l2Vd6wC wyJSvUJpAQH9EXPH2ioQOrLt/Qu2BSiwcsgu6Zdj++7zxz8R53Gvmv/lP01l SNOUrHJ6N48RxwdXlxVKEPtbsGfReh7bF2kaNsVFaD21T9VPbh5f97rkljws hG34ko3VxByCdxn4K9wowBbl5djG1DmQXzcLv/XKQyy7ZuWk8xxOGewoK1n9 iCZnx/B4tTkc04+03P42FwHaBSZb/v7ADXmeaQXDHPjrDDx4VPIDmifcE6u1 suAoMq3/0+sHbktHr9nwZSBi7IyHpeoP3BxIWXwSQ4CJWtiv72OzEDD2UpG5 mYJl29eJfLmzEKpPr9389wMCRJM+znvMIkDGMnck6T2yZ0in8o/NQr80rqnb Jgl7tuw5dp13Fl3KI6PntBJhH0d03ZE6g5TH6taFCgngISloiMTMoKxoNcVc KAEGDQnGnCEzIJb53lP6FY9zKbuafvnNAElHndQH4vGvbGzGxMMZfA+NVHes jAexxim75cEMNp7eWtn3LR4yQhafPnnM4J3Wq8YzpfE4su5WYaT7DG7K9BoU fWXulzt0mJeJS8cWlO4WxUP1q1HpY7cZTCmwKO/+Eo/9q7nas/dn8IzzjwHt czwClMyrrZn40uv+gLcF8WAP0TvdeW8Gtr0pk8b58dgz/9PN5OA0Lvd7vJbQ jEbu8OGHJSwM6GlEy6fwRsIlz9xtPOA7Gic1t/CzheExlbNUQnYSGSnnMn73 BcFqcsiPr3EcI8bSXNG1r7BI+no47/EYZO59yVum+uO1FNeRRK1RRE8aJf2p /w/3Ly9XcW8YQW/vqmmEkQ++W3Jo7EymQ1RJpPTZ+BMMtXWe0DhPQ9tB5/xD 0p5Y+Ncg1GczFUZVA3R9w4f4EGnSrzU4BEFdq4apXR6Y/WFOvn50ANW+fa9Y j7jB2XoXUZTci7Pm9iuB4/fgaNDVkp5AhpCS/yZrgXuIffScLq3WhbXHDWPs ga4obn8i7MbRAfoL5cD8F67oZv3MypvYBj/f0RMnxe5h8dD+M/cFW5F3/Rqb iNF92MzQPDivNKKc56eaxx53eLdEDYdJ1iHhdlDRm/IHcJflYCSdrEauSGmh pKInTKbNcFCyEo/9HGMi557g7mAn2V+lHCYaIsnOmj6wOvXZ9uivUuSQbq93 5fdDqBXnrMnoV4zvLpQeevwcF9UqULf7CzhOnuzRywmAUyZ8BYsLoF5/YXjN Nhgqp9O4Zuzz8eLlKV3GvlCET+bKLSrm4Ubeudh25XAMhO2Kq1j/CVm4aJPu EoHY2MaqDX9ykct23Eh3JQqGVurbU5Zy0NetkWPaHY2xV3kjjoI5sL1x1a+e Ix4WOus2b6rPQv2HXBMN+wRcNbsrYfhfJthUmrV0pxOhtxi8K+t8Bi4asIT9 iXiP21NvqkzV0xE//+5qqH0yLvHPC/rJp0G6MNkgyDYVlQH+ombcaWjvy7rF lp6KgiYyh+sYAV0yFauHZ1PhtcH7JqmGAOvYUAmoE/Dq4aEJt2QCypOIo/yP Cciy/WCKJAKa19gH9voSEJ837MYVT0CB+2uawUsCnmYP6RKjCXhMXPrlEkJA LevpXtV3BJhlFftxviHgbdT/rv9fKZJe7msRBDw/wPtLgakX5PHNPjbMfcM2 FuRS5nNLp5JnlEMJ0PUcTRxJIeBY1DDPWiDzvZWejzdkE2Bxt7Cj6RUBErm5 Nw4WEGBPqdyx7EDA9gWPONNVAsYeWWk56xEwzuOcfepkGk4LulTuVCSgUYa3 lDc4DeV5UhckBAiIqT3yK6kvDb8vX910XzwVPXtOCBqcz4QrR6cMq1YKpKyO dUmtywHnxtCrwo7JkMxvcVP2zMXOU4ZHONI/4P7yXrWRbZ+gpRGkq/XrPQKf PRMf688DewB/yG6j9xAJbB/8VVOAwkPEnShMgmVfQPx4XyF0LGW11XWTEKzh mZ+YVoTp3QUR0v2JYL24gxAUWYyjL48ZVXskgv4qOm5PSikS2zYo0sQTocCe zbpw6xtehqdboTEBmqoexza+KcexyOu+v+4m4BLnF44zXJVo3n/MuVsmAS0B uu+1Q6pQ116UH8jUwSMnjhU2HWD6keHYzY64eGzLyVKI/F2LQ/Lc3y/fjIdr kM5f6c56VPu9y6IfiUef29LmguZG1Knev2X9Mw7a7ALJFGor7nZN0pWL42Au K+p83KENE3NdE2JRcTANgbfxSjt4i/cflguIg80Lt+WZkx1I0Qp+Gvg6DqWc U6f1YzsR81z87Ex0HKjcO7tN17rAy6ZqOvw5DppDGR3N9mTU7GCJFRqKwwf7 pQfa/T2w3lASI7A+Hh+jAlulTfoQvfdemapaPMwnTAIXLQfwc2tzT/GteOje azXncxzCq4QzRVXR8Tj5x3iuzJsCbpW3LR9I8XCYqMkrPUuFTtbXAU3BBFzf rWZxeyMNv/d8LHM0TsARB8aZlm4agr/yGW59m4Bh1u9vaBF01F/1tZIbS8Df xd6HTcbD4BbQzPI+mIjrqYzxSq4RNEu0cOunJUJMZ9IGIyMg7A1/4imThIfF B8QbC5g6fPWixu/3SWgtgWDIQ6ZOS/6UT1F8D5UMAV9elXGIuDQPPv72Hpvn JkmL/eOIrNsnd8/sA8pcrSb1PSawYqTe/nL5Ax640M6e5Z7EotyuG/rUZDQ1 3lRq+ziJsBmdfUkdKQjuDq18dfI7yqVfhB/9kIrmCHNjl9zviDE9dOyzFwHf p34ajW6YwlYHfWOF62n4pKfE0nN1CiIGh7prjNMRvfVSv1bqFPS+6L/6cjYD XiIO9RyjU6jUpgRrGGSC3fF6jNB2BkaJifs8LbIQ+qxc+OApBoTX4qLq72ej VeHS+HEnBp541f9I8s3B5/9+mXFGMkCwNhWuM83FlVWlPY8+M/DY5+O8msZH XL3MMBFqYaA9Ze7uJZlP0Ex9yr7az8DCH8qeD9vyEOxsK3V2hIGMeE+FEPF8 aC663ugeY0BU8PebuH0F8L6y1/Uy8/7DoAt2xvqf8VtzY7zLIAP/jIflfo4v xPwtu8X17QyYXgnnKeMoQsmlsYiD5Qz4Ejj/HvL8Cg0ZyuLtDAa8/j06to63 BBZvFC+vC2OgMS7MaDmjFDYSbdf2uzPAvj188en+bzCRlkuSu8SAo/TOUxzb ymFgKF/IeoCBgdTObrYzFZBVU7Kw42Yg89G3xLMBlfDl6S3bxczPW/dcmiwf roLvPp7YIzFTkPXIsD5hVIPwey56z5n/v6zxcVoaqRb3Y+3CxsSnsIOLLlzu UA9L4XPUHeTvyMvG2+NijXilep+L49V3PPmTcTuMpxnffj/lilf5DvH8Q8ef b2qFtc/DS4Ydk8gO2t7cGEPEf3nVOtmOkwj5MfP6T1kbBGdrYgzWJrDNdcO9 0tl2/BbZeKbMfwKSokRh8r4OPK5J5X++fgKK6zwaqx91YlNedIK69zg4E+n3 odaNpzdPE9JqxlBTTSbtZekBzTA/kLo0CqHcXWJsvb0onVuQE5Echc5I+I+O kn60XOAQytw/AudSw2bZD4PQmg4mX1QZxp4WozvTY0OoSLPhVvKiI3MD1ywx hALTsK9LqKQhcF65w3EvFW4OLQPta1QYvB6LppdTcfdRXpuFGhX+ohwvhPRp aJ5qs3t2nYIrSX2p71tpcA74+sBSdAi3BeSUJE/Qsav+9dSE7QCaVmJEv6fS EXHcxPBheh8OB+pvvr5Eh5WZE9GB0YPNo8H2yxrDeBHSS36vRMY/NzyEza4M w8k3W8nPowtndiTMezkMg5S+LN3W1AFxhRtyv64Nw7to18mEpyS0h47+ljwz jDyuWe6YE+1Yr2PbMSw+DB7/DH8JkTY0l5Ta+tHoOGV66lv8VCtYGlgphHA6 9qtSNol2NKPxN/298UE6GjY/uVRIb4RGp69sfwsN5blS9GyxBsx2e4szLtJA Ydn2zs6nDpxNr0/YdlFBKDPbeV+kFuKckeL656jMHBi07wupGrvq/qF+/UrB dDZH9r2SKuxYmDlVKUvBIPf+b55tlYhqeclRIz6EADG3HMsNlZCxrTdhTA8g PD3BwPNuBSSOVBVcKu/Hp48n808ul+PXHZs7bFF9OOkW3HUsrRwHPav/cXXv xZYJZVOFh+Xof+LwoM2qBwbPV1vWHMsh2rPrD/kCM/8V9YvwPi0HZcuuxCnT biwWX3o5XlCOwPQlblH7LrBI5az58FXAVySnRtG/E6XCEnMiPhWYZ1Bnswo6 8G3dCV/R7ZWYfzjCNb9AwuqqvJFRZyUuKG/glztOglRP6M7oj1U4s+9r0OUH 7Rj8kKW4frkatzsNGQkNbQgc+fU35Ektcsumj0ertCH38BOf7cfq4We29U9T HhFnH0kI/9ZuRNfl/2aj9YjQfS53OeBJM15O3tnU8LcVr/PdC0eWWyHSp1/3 7m0rHvd9kdcVbgPFK9xE9UIrKtq2WHUeaEfSynx1955WPHnFde2hIwleHaU/ 6sVakW7U2L8ptwMRDcskg12t8HcNfsLK0oWJWfrrnLOtICSSKXsudkPM01hN /Vkrwn7zrJf4RIbt+ND5CRYitnlJ0FTf9aL7qMNJdlYiis68C6Mxcbhr4xEx Jr65OKcTFN2LIfcV1QNMzLq686dmTC/mj7EpGTGxKV3lw3cmFqzr2XuLiXV2 iP4bFdsL9l2K++KY+Oq6+IyFuF7YczcfJjGxebQ/q2FCL45vLPiXi42IBVqb UXpiL2xuu2ULryPiioOgy+GcXhh+Kb0rzUkEbSQtr76kF9ajmtHq3Mye3DLN eaGxF7aDH3Yb8BDBG7XVjMLsBZHzLGfUJJnfL6yi23SlD6sTvprNB4gQ4nPa kDnSh6feg0tCRkTs20Tq1LnZj8Dvj56t3iIiJGw22IzRj7FGwekAfyJEzV0u 5TgNoP3u6CbfBCIIhTnCaeQBcBtZHQ7/SoRg9SY7Oe1BtGWIvyvtIsIr84fc +tRBbKPO31mZIyKlyWi3Mv8QQtP9ZHO2t+GkXehEdPgQlGO2DtrotjHzPfmb JD8F6ieGHm12acONWesQRz0K+jSVpksS2sAleckh/CUFBT7DUsbtbRj+WXPt YS1Tt4r11qdvZeqp0QLn/3pTeEuwVtb1dlTzrNknW1Mh5XBA7NSndsQIaBvk pFIhWZjZeJ2DBOmKuZJ7E1TsOVslNWtGQl7E1YzOHTSwz/EHdH4iYd3UsHeh GQ1VqzLzawIdWPvF6iHwkoYm+b7gS84d2FuWOkHKp2Hmm9TKvrEO+N7oI2rS aKhWUJO+da0TBx10xXw46YgzNHAbpHfi5lhYWYk0HZ/PjCWb3ejC8QrlbKED dLhLx4lnznbBJLCAnHacjitR2dFxj7pB1rC5+PUUHbyJGvs9DpFx+06yLpi6 WmLzly9thQwxkcBHz1XoCDsDi8DqHmzarrV+52Y6pOYLDFyDmXP66RUtdoaG EMnD64Ou9oFf1STOp4Sp7/7PM9n39yNj6LyYpTcNeq62j8jrBnBWQOVPwWEa bh7Yr5enM4jTimd5S79RoTwTZc/nM4S1pdulpP1U/JHauJH7MgX8CwuWxFAK SNmE7WkzFDx7Rz5wpHEI0l9fOTp6UGG5t0s/5PwgHA4tlG36ScWGGptqibp+ KAbKLB+wpiGv2WSYursPUl+bnlsX0bBiUnfB/mkPos+yjcbO0+DYQ9ztL0RG 9aHXuYVb6dCW+agoltAFH4b5Jj4FOnIMZdTD1TpB8YtNuyJLx4kr+cL3SEw/ EGfjYuel485ac66yVzv6fFJNxsk02E1MRbJqtkGeUb+UF0TDj4R5+UxBIkjr N3lUqzDP8Z1FfN3fZlgq+lpLVzFz6s/ruUd5m/BybPid7QkqZqLm6HsvNIDR GBIW9ZkC59yiV08G6pCy1G7FJkVBkfSzpf6EWlQE3N46zzWE80fez9ATa7DY 0y/oWTsAYbsz48+GqmE+JJCY49cP+cX1PdYXqmH28e7tH2f6oFQZ8C8bZzXU +ZbYxrcw+3zyCkWGUQVX2TBh1wUyXF++yR/kqcbC7jTqR0o3XrgybIosq9E8 o7l3A6ULsWtHIj6NV0OWm7ai192J88qJvBo1NThbYNyzNtmBe1Jeopcna3Fj gbFRXbQDGy8NGJ+/UA+9zmMNrrdIEOSwCNrC24i5hFBiO7kd/8mGyVK4myGu 8allE5NPt2cMyC/1W7Ey/K6lgq8d0Uo8Tb5TRPCZzA9oMPmYaZRAsTJqh04v 37tPn9qgcpjfMaqNhJ3prl6Xctqw45rwYxO7TjRxu8dr17bB3MxHV5O3G/lS OgT9qTZ8Eziuuu0aGQbNHx2uSLXD4nT7UPyXHpQc+Hc7w6Yd57Ifn09Z3wen xaY3Tl/asc04QGO9fj8y/YVOm24nISxYPq/fewDSNVEJ21+SoLCra1ti/CCC FzfLynJ3ILl035ubyUzfLaLIUII7kJXx0+7PSQpUk1X+pMl1wuzOfkPTTAqo A8Grg3WdSCzt2nGTjXnuJ7KE6l27kPQjPzxOl4piX/2GlN3d4Du93/ALc84P UXWsUie6Ucsgspa8o0LoeaAJPYcMJe7yixMZVGx1DXx3J7UHtSvD/rPpVOgf uke7kdoLbXH1SI8wKgJlPsxGZ/XBd/CMeIYdFT+EazPfFPZj2V1kA1GWioFz FUavKgcQkaUke5xEQYCKl6p50yAqbu5McnGiIHj2oIpv6xA6RkU+l84P4Ur9 VUY4M5fdsdsUvWd6EGG8kTfXFii4kKwvz/Z8ANkDBoSC+1S8FeAj6q3rR7Wr T7DuCBWJf6aeOdn1goN3mKJ2hAbLUw27nhaRQZSqeqnnRkOZ1p4Ua85ubHqj 7Pw1kIYXxSGFnR870crt9PV9KA2fafQKHZsOUNZ21qk9pSGSO8LwnDQJD2xd 9iib09DB9opmNN2GTXLa/GwSNGSLeSxYNRNhqPlhqaKFCl07qsY6v1aohZvf OuBAxcb4Acmd75uhLEjk/PyHAqH6t7sf/GmE7qI/K/8DCmKsdeUn/RvQoX30 ZSxlCEmVNX6C5+vxos/zrU3ZIMpMBwfdzetgyq7xvurNAITSdghNxtbiT0eT yGeHftS4mu7IF6tFn7k7MU23D6p8G/JXumrwj7EI31V5Zr7qEEhbqK/BNfnL m/q29CAo2n6J5WcNth9WCbq+hYzywDdzHWa1sLWgnghjzgOlZjfdmdnnx5Ym 7K2NupCQzq7C31qHrVlPDh953QnW1197WYfqMT/67vRWWgeuWIY3Pd/VCP3l weZAvQ64znsfeJbehB3dcuxjRBLMe5vS1O1a0GCcwirnQAL9XwWr6T1M3w3T YpeVIKH30An+Q0fbMFRYoRw60Y631i4a+2+1w4sQTpOub4f6dqr/0yYS0j1e JM9XtiPXZX5UQrsTxwJFNVV72pHz50G0ZEUXHs5luKxykXDxn4SAJyfJSDNJ Fzc3YPph1Y5tnnU9SOF7cP5EFgkvvjl9Fz7Sh6FbDziTZTrgfr3il3tUP6zt NnJaZDH7y9QBWQIzD7TqC7ur6nWCyOWWXjE3CDGVrWXU1U48tet/bkAbQv2w 2sRqeRf4Li5z5hpR0H5auZg9vBu31i7I1kZR8CDF3l/zPhncH2V/0OsokMWj leprPci81myweYgCWpiCoYd5L4Krdl+c7KdAOmtJdMqsD6zeT2yPV1LgE3wm 3OpKP3p1G3X1mf60LnY0t8JmADe2DI3Y61Ow43CU0eaYQUxEWXY7VA9hrnX8 439M3+Ksa9h2sHgQQT2RJ5tdKSibDfhr82wA/mf82KJ+UXBi/tmBzL392H3F 2KHTnoowtsQDNwt6cSSFs0CslsnbkvC6dPke6Ep/tlHnpeEgi1m3WlA3TE5+ cLLYz+TLVbce2/lO5POV01IO0tDlpKL9+3IHnKW3XLVm8oGxtEE/sqsdhsZ+ ftfoVHQkb6Xa2rfBL2jM5mQCFXdW/dyuOBLBM6UYaq9Pxdmy+J9R/K04Pv7w 2JspCm4GHI6kOjfj8ovi7+yeFCy2El7MrGvCcWGtFTUOCkJt+UZZWxvgLS6v WLh+CHYlA98sW+sx+NHXwmptAMXT3z76cdYjKTFCt2C2H3d17dSdXesgOT16 IYvWB3a2WYniLXWQTl15n0XtxS01vl69+VpcjyO92DLRg8fqG412sdThpiT7 5eUlMg7+15m1qlWHbwbRScOiZBQoHtMlZNdBmCirN6DXjUlfltdSxvX4nPA1 xzOoC/qshOQ7sg1YK9nT+nekE/KHFIMi9zRiu22XvIJBJ+4vR69eu94E1+2c iGX2wGqv/Z+1m5tx1NdkIcmyA9a1aOGxbcWd0r5IU44O+BTV7bd9Q0QZt4Zp 1jcSfNNcjp4ObIM0/bvMvSASdAQjzGLetaN8JVXRypWEnghfr7RCElQVvCUF mXxjV81+wEfvgPr75+wWHiQIvPZrVtHoQq+lr8D7GBLKOCXX3EK6cSLdyEGM TMIp4yz5xUkyxv1cD8zKMf11fLOPx6FeGGh5h6m86sCtCH//IY8+GHzPfzrN 3onhbZ6fbyT2g79B+79/mPqwg/yExp81gIm1X1IB8l3QM5N0KY4YxIu5BB3R zi4Y8Gx/+9B8CEaiqzF3AruhMvah2P3nEE5L9XFtvcjU6coSIS8VCiZOH9e4 v7sHWn8NCvdcoIA+H0Iu4epFztaKfZevUXB7XttieqoXDy8rcnibU5Bsov6z rrsPVeq5dFNQ8Fvum1BjdT8mCr6H9AlQYM9e9fuo1QDEIvSxrWUIJk7mG7mX B6BEOny91HEI/wfZGb1l "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwVV3k4FW8bRiGpEMkSUVlSWQoRdScJKaQFWSpSkaioiLIkSlplSUqrRHta lDbRIiVnzsz5meUQpbRQSYvQ935/neu5ZubMO89zP/diGBLtEyYnIyOzU1ZG 5v+/moM2ibYf5nDsN7fLup2GsfGX4Ow7HPwd2U1t/2gME01Tn9rKYbEbn5k+ jMGkhgX8AnUeDR+bA+o1GCiOnrpX4szDyV+1+JUKA3mtS05GMTxiCwO9zpPn vzz1yJIU8XhlGr787lsaoYv9upWe8RhWf7Vc/iGNndfXNUz/yGN1Zftx0SEa ZW51Zw3lBfxZo9t4O5jcH3Vl9omRAqZkGctnGdH4xnVt6zAQIFbe5eHRLsaq qJQVuaSWd3tRP+yCGEpTDvQ4aAqIY8LmfIkSw1D/6ayRcgJiyta/MbIRY7vX /WncWx5/5kRE1ciIcS0mIKHgAY9ZYeuPFFMUMlXj3e9m83gQUyQOuUwhIfri /PchPBIXOjS65FC4rOmj/9uch9CSxzqnU4hdbzOw5Q+H/5x+LP2eSqF/+bt1 x2tIv26rbt+xh8JFvj10JOnvocO5dx4XUVD0KXsWt5rDrMm1Rx/fp6DuprGW nsmh4k1R0pX35P37pjtuM+RgZ+HVPU1bjPx97VsTBnOozVBVfLRADPfBQumB XhamHbrx/vvFqODTjC1+s7Bd6ZbQUi+G7M75X+P7WNhwf2+oq9HY+K04wmUI B81RL2Zme9O4Wf+uTHsch/yQAVeHZNGQ1jvb287mcMdeRcf9EQ25xw1D89Zy SB3InZ7TQWN8yNpPPfkcqrWFeZ5qDKzUngz6VMvhfWLXHoXxDObFJX8a+4+D YmKp4UZrBlvqvB4mWfPQrE/cGjuFwcLHo9bYhPM48pRxH2rMYOyUNRqbjvJQ HDTo4+UhDBRG53tvec4jV1NTZ8YHGq1psW57v/EIKRqW019Bw6ctuMZquIBb CfFqB3bQ8L96sqNrvICCGvlXS1xp2C6d1mxoJ8DyQZNsvwKNUtnnaZqOAp4M yHt6s1qMOHmnqCwbAZU/tt9/kCrGTadv7OlxAl448FsWOIvRkKcjbVUizys0 Xd8ziODjsauDbRuPU4Xnxq0UU9gR1mp0/hYP6+dm876epTC+KDvGJZXHh9aP j56TeR8pbp8w3Y2HRqqj5rxIcv9EO6ZTmYeWHP0gOJTCAulvx5f1HMKj3b+t W0NB1uvEKPtcDhONtDNXJVCwiDeN27CCg6j2bV/5UQo7tY7vX23DwXWQe31v DYXRLv6yKmqk3/doVd0eCts+qX462s1CPcnkbpCtGAt15ld+a2VRPT7v+MM4 MQL6TvgU8SzWPckf13tfjCuVJw8JTSwiZr3/l0f6U/6+Z+iBLyxurPkaIzuf xqTML76u8hyePmRWntlPI8wyuXq2MYfvHeN+yNfR8JKRi0ry4nAzKGZ0E9nn p7BLLE3i8DZQ5o4Nmb9qd3y14w2Cr0QXy41zGJwJWdER38EhbmlM/folDLpH Tn59wZTHjZ7W48f9GNiVW/pdIvv01ZatmDSfwS2ddo2MAtK/toY1SQQ/aYum DHN+xaPfutAwmvDJ587dwwf0kn101xjp3kTjlnaEicoYAb4JDc8rz9LYdzlh WfsMAVd2dznUraQRVHKyy8RHwMdvXaNn69BYoh5tcsNPwKc9i3IkdWKUfX9T MYpcXy9JMkxLEsOrMHxpInn+V3vBk5mEH4YrD41J1xdwcp/qqjdfKSw3eaOQ 2MXj9Vnv0t5yCnfGrbqnR/hin8e3CHoH2e+k2gk5O3iYGnnqui2jINOm7uxH +NDF6Fh4pRsFpzsKvkqy5PszPcU6TmTf92gtXfKAQ+kE+doact3fyeBWYzKH XXPOtOaQ553D/zvf78ohaJmlQmMahWGbF55Q1+agkpsdcoy8PzEw0qP6O4un YSMk0g4KQZNUT3kyLIpTcnwqrcTYapgUn1/NgmkxaOrdKsab58cXTbzPYlvx u/Ojn4kxxGXdTbvHLFrG2aWs16ShvqEi9iDFIp57H2YQSmOcxeCT1zrI/wdS jivKaCgULnpYrc7h5QHvSTs+09je/93ilBOHUw9UmtTGMbj+lb8rbCb49fx7 tdOLQcSkrMzaqxxyn5+esC6KwcM/9wp2fuVQWIJpAdsZ3OxMX6ppwWO0npPL 3CQGwVk7Yn3W8fBrWDijcQODA3O3r5x8nsf4bL3zcQQ/P5g/J6828+h9pCDV MCf6c9iWb1ITsLUxXWtID40txSopXdMEaDi8v21QSWOugVJz4FIB2xL/OK/Z TGNiZMGagvUCbn8x90kwpPF9yOIXj7YIWOuqIJ3yXIwxg1SuOUcLmKyk7Oy0 QYwB/O0KT18BkRdGWLnqibGk9dh3kaWAQz9ln956TeHxt77guD4eWTeDMq7u I/uY97t8F8HDmYXXUlv8KdzVH+70Kp7HPOfGNRusKVivth+xlnxv9onmlM+j KcQsUtp8gejpf33Du6frUbCX606THiH9UTXbfWYihZM+VifHLubQZHBT/8p8 CksjRJ8XaHHIiDxy1SmJQskF7w8H2lmMn7WVfVhBYea04JChNSzM3kU71/dT yFlqZtlZxmJT2JX+8fPEiH1z+UXPcRYF7dWfphSJYc06/tlP6uLNu08pdYuR 4vu8qrSUxaOR6pkFc2nonLlq11bF4tmMxOAnhTR6ulfvT25jwfVOvrmN8PPY sXrLl2twcLv4ck+rGYNA32RZXQ9y/obP6etWMFiZmabVu4vwiWlbnUwmg9qU LWeH1XFIG6m4Rek0A+VNN96bDCfzX/okdE8Zg4rIRYvrl/C46xlVeIFc982X 2H88wsPGRveFeRaDpYaPh09v5KHkMN1WGsZgs98xrXyiBwsqdd0HT2awOr/F 7pOzALvaXQ1bvhN+SlEKDlgroPB8Q6zXeRqODRkD/DIErDx8W1fJn0aHsb5O aa6Ah4LerqyBNNz81ZeW5Au4uSF1RMwlMf7zMWlS3SsgdEeO535/MTS5gDLj WAHLmzzmnib60Jncu+qap4Atxscwl+j359fXy//qkbrt08a3iRS+bPngebeV h/Hk02PS51AwDc98q3CKh4VB1pP2URTsrIM97QJ4iLcVHQuTJfM0gJ5IjYft xR82b3+I8M4i5ljoMw5vSm5EN/0SIfTFhRlRKRyWhnvFBA2mQBuuaZsPDudi Slw6J1Bo8orUiVbgMOqp9tCNBH/3GJeMAppF75qaWNEhCit65ComXmIxWbKq M52hUC3Hf7c5yMJ8DVV2aQzBN326e3MSCzUN2xG6m8So7rjXsSyeRZOtrkbQ CzGakvzV1cj1nPK4WcwYGp/aorcEHmBhmOBd8zKORr3zwvpnF1jE9CzW2VVL 4+xC85bDhE9Gx13du3wEA5Mhmbl3B3A46LJTvpXs81/vJ4W/HYj+Dd88/y2Z rzS/6b+XWzmMqO++m3eDQbTdefkxlzh030t6Rtcy6N0luyGJ7IvDYw15PQmD rPD5OYo6PC67J380ZxkY/TVSE3nzeHLVl8gjg4xqx9LOdB4DjXaHFVQTPjrT 93PdXR6bZrpl+F5gcEN6euJAgqcfHlNFVgUMzkf9cdvdzcP/3+8Ts3cyuLw/ 1vWVqoAxVY+Krq5jkHzX2++smQB/B72y4wvJ+9IUx7fMIvoy3CDRZiqDPdMa q2k3AbnyT9OyLBjMndb5sJTgo/hC7qsHJgz0N+qsW75IwOeW1xNej2awsy17 1E9/AYObfDbcH8lAYhrtsYPw1ek1xoodmgws89KMVQOIHmVruemR2u53ycVC UhvtXmE9j/SzIMmebyF1ZWVITivx34H7q7pNAwn/XXJ9s5XUyTG5ptGkrlB9 eEyN1FXzjObcIHWCSMWlRJ1Bm8PFJU5BAhz9I8Pp4Qzcv3epvSR179Zl9nKk HjXy1Ra/YOK/I8fcMCd+r3rZ+65boWQf3tScaRzE4J5jp1/3GgF3ep6WrpRh IDJeNkA1ivQnpbf09S8avRq2PooxAq7HYK9+J9GTEes32u8U8Ohsxed7L2hc P2+2WitHgOuQgSMaimlsmKEwKu2UgB2vZrkfTqZxNUVhxfKLAn7zv0tcyL6a /Y7yyLkhkLl+oMdZ0ejX7I4wv0f+76j2PP6zGBP6YyPaK8n3zFbWsigRo9Fy 8PVr5QL6Xle+81wphthvbsKJMwL+DXtVvZrg3fiaybquLAE/w7LFBa0UJs4Y fGsEOX/sus7Df0oo+P0Ij+tyIPmhU7smaCWFEy9P/ZwgQ/glsb46yYxCK3PK aDTxq81n+Ud6Ayk8ylgVprGPx/IH1640tYnwK+vZWT+Cx4u52yP8KRHOZ6lY zSb7Pfhkjen35yKYBcDZSsSh+JW3R2utCCbBBVtiSD4QXn44OJURoa7peYuX P4ezBceO1H4SYa1XgcWAkRw2L8mwGKJO8se79w9HE3/3Q2FEJuNK+GfAgy/O hL+nVFy1luyiYHTGw7IqlYVFQMuaQOJfr46vLypcRfhbp2drgKkYWTN1O1OX sPje3y/aSvywXPPcMJEPi3GF8+UMmsU4tHtx8J1AlvDcw+YoFxrv1299ej6W xU9ha4BCCY3qyzN7246wmLNrxWH/gQy+iG5n+L9g8WazYK3gyyC+pHHwAUUO Yz7rZ/QUMug5PPvnk3mEn/QdfPPJfhb8Hh36leSJylCZcaLfDD5YXttxr53k o55l0pnKErTUdtqUOvLYarxhrtVgCXwOb3ZT3s9DeU97W0k3g7xy/nAnR/jy bmfTo3oGE/+t6rIYK2BIfWbihiMMTlSU5/mHkHlnhwXuXsTAcV5goFGeALdd ms8XDmCwa+qbKwceCLBXjZPfTr4n+79BlT8bBZTbqjf/m0Py0U58NHknIFlu kpdsixgXrDKZbc0kH/SYyj5IFMOW/hHd/kLALiulzigdMbpfaaf+OSfggdta PWOiB9p/2RX/bSL+suxl+cMICtvVnZbPnCrgvdXvyJdjKHQ7zCtd3cFjT5rl 58QPImR/OGH97hiPX5eCZ+XcE6FKLW/oQZInuoN8JoSfFsHthkpdyDcOcwI/ rhAViDBAMbPK+yjBxzF7Q/MzIrhqZ1tNdif142CFgAcidHhNVy4m+Y8xM2dv Efx8KnXQ+XeHxUXdc3PHmlKI1gy8ZLODxVwrdkLfRuJfPKvCpL4s5nk+W2hW S2FXxowFRtMIfqzi146aIMZai5W768xYXC+8oth0SIxntobuk0jdNsmux6xf DElun3OtHYuvl0LOukTSsIww0VxB8KVpPWRROkNjtYqaWJXg8c6XD2M07Uk+ +HAnI5ecR3xuwKXFBxhsMns9f2E/i9nJS+4pNDK4ey3GdCHxE5uLgzM3qEpw SPHjt0VFHAZ+iPiZai1Bgc4IefEvDlX/Un69cZYgvO6Iq4YPj4k6fhl/p0sQ dWuHi1UZj1W7986VHyuBUt3pjomyhI8HaSxy72IwLHXQEsFLQF231LziCoMc z6p8j8MEL08MPe4HMTBTzFx8n8xX0aHmkU8fDar0732ui/D7vePzWg/RCO7b dfrFYClqwxNbJhE9TMqatGeJihRNtb/V9C+LcVX/6Jl+GSni3VNiSqaLQQWY z1Mh+PlcHksXN1B4421+9AThN1GD/uebURTm/FU9tZf4lfLloTZ6WhTWlhvs DhpF9MG53eviaxH8E0yTDR/zGKAX53mbzN9Dz/PF3FAeLYuVKmTiRIj+3jt4 mwyPBDsty+vhIsizTt+XH+dgUZlmH7JehGWmzooJM0m+P3muakCWCFki/b+D PrKoL4oK6LwrwuI+/49tx1iMvDDwH98vQs6E7UXVQSx+v+27rbaIgpLg23Nu IouP31XTptymsMwbpf+UWUTLhVsoET55551peqm3EXfOhxvXE3/pNkX/2JB/ jegqGODno0tj+pRirnM4C72xrRtG5BL/YKW79dJUFsHTTWYkKTPYfXNViEkk C6d0pxkqWxi0znoa2X+SRbZeltn4GuL39q1+saiZRUCLcuRFRQl2lJYeeG/E 4deVdi/aUYKYkocn3DdwuB+wrN4mVIIEnREH3j/kYDO8fWJtvASF48JDh6jz kFOkU3qSJHDve73yfRiPoPi7acc3SXDgbXWFuIqH7B33zL+LJVj7ms1boivg hry22+wxErQGllzPihSQdzvQ0Ion+vzW7Pjl6wIKDgckq6QT/OR2mE7sEKDg v7uibAyDtVrOXx9qSxHaOD1/6g0a0QVWvoXWUmxKnexi7kT8tIpucdx0KfbI 9c2wrRVDscHu6PUpUjhF3Vwut0gM3/1XLgSPlMKDHjF5SguFaz+0ilzaBRju uPXDPo74v1SvL+2lAl6dGtUyQ5tCl6vlrY1Er/2C5V8pPxOhXEnZ65CCAIuc o+zfdBHa8wofhRbz8Jy2dPpXXxEuf6rMdXbikfFkYai7owjzouKCzrEkj8jN dWq1FmGz4rslvzZxcFXSjFCfJYL3zst8pCYHk+2Pr58LJfpW1W/yi+RJ1arM 22/zCf+gWddkIwsZOnVmWrMI0565sYaTWTxXmL6x3I7CUNnxnkdkWHhV2AVp F1HY+LFy+3NpIyaL63iRKskjey+vjn/ZCPmw7oZdmWJUXek07q9rRPOhvTZJ g2hEdL1MhdAI5UHN2dfSach5lwy+19eIm203Z/cS/zHW/qtv9iQWlYFvVzvG EP9Vpzg1ZS0L5TTDE+mETy4MvVP5+QYLxx0O3fMtJZgYrrzzw2AO795rLsqK leDwxjGZ9ms4TH+z9EnLaQlWpuRNDH7BYc/e5TuvVEqw7fRe4zwrHqonZk81 uC/BgtyyKV15PKpy4y9OKJHgvOuFycF/eaz8pTY5L0GCkuamFeV+AkrTL1e9 s5fg5cWXw9gLAs4Ov3vQ9R2DtNTWQskPwkfDHdp3JBM/qjXP9M8kKd6aP0PT MMJ/s+Q8vi6W4ty+03r92TSOz99Z1R0hRYx0W1SNOg2Hoq1KH9ZKoTJkppo9 4eM6vyv5oX5SDIkSN/iri2GQWnS0wVIKeSM934FHKRTMfnIw4qdAcvO7GhHJ l1qGfYcmlAkIH7PlsVydCDrrjffcXyBg/9gglRUJItgf2Lje9wvxKzW2Zg7T RZiqOKVxdwqPY3MuFyxRF4FeMVhfl+S37VPH5Xzub8CX0Y4z6VMczsQ+mF8i I8KSBS/HB0/lsDY4cHKxFskzk5KfjCB5IPl2wM2Nc0R4rvJgSm8ci9XrlpgM 2i1C82Id/RMTiD7p9MvVSUXI/zchVeNLI67fmzlnrwuFgc6G2z/fb8Qpg01d O+9Q8NxytszhVCNeJfwJC5kmxt7u+2lH8hphOGNog/cjMWI2JGQaFzWiQuoU o+NB+nXm9KRDtxuRzq+8MoeiEX5u9XOD1kYUHjpxbs5iBrKx++df1WMRG5a2 qLiO5JUflzMC/Ml5mQErT46T4KTqnqKfhB99uq0lXuslyC2Wy51P+NNgbO1x 6UUJbt9zDRk4nUOQcPwXxUnARm5PKCB+rubGwUXafySIyHJViurk8Pppd6Ss /H+YPMul44EHj+SUL4/n/pOg99q4axU3edSu3P3zXIsEnsFZcdb6ArIfm2+f e1kC76M7PUclCWgyPS6mV0mQt8pTP4wh+bZ5cMpe4pd6K18PNDKUwvLXTsWZ Jxis1zCbei1QCoOyqvvmpgy6xEHGj9OliBPi+r4Tv3201LJ+3zEpMh5Z9S03 oHFNaE75WCTFKXM3zfB8Mco9YweF7JXiVsp9z9/DST50XK3tukqKC7JdRY3Z FFyv2ysW2kox/PPoWlUrCvk/28zDeogf8uZq1CQi/A8w/kaT "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.43875, 0.32499999999999996`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.45875, 0.345}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.34999999999999987`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdQV9e2xxErlmgssUXEa41iQ4MakaPGWAj2aOwaC5ZYo2KNYI0FGyga KzZsqCAqFvSnRhEREenlp9IFpEqxy8ud+X3WeXOcN1wnydx338tfzGfWXj/O 95x99l5r771Og/GzBk0yNjIymlDWyOiffx2XvG9lujpW98NvK3WjrTyVHtdm hnsOCRWubHztxRpbP+Fhpourel04Koz/iF6PYq93uyn+MP4w/jD+pU69jBw0 KVD8Yfxh/GH8vzcpP+2nHqHiD+MP4w/7JZd4NCrhnGLuW3NK56FRyqgZbg1M ggOE0/PGps/ZES5M+xKzGtuVmvJI2sO0h2n/bEvtsylW8dIepj1M+yHTzNre u50o7WHaw7TXfd3U80y/FGkPY/+iXqvW2yJTxQ5jdylsf3rhuGfC7x50bjk6 LVNJ2GO5YvKMSN1j+wOVWk/Yqdjq+g7MXxIkzP2Hj6wbZdXuK19h/G8mVEkb ej9c/GH8Yfxhnhfc/tS6o+U+cVZct5s+rf8kRlkb0nRHszPRwtin9zZPTs15 InYYu9u7PbnDlicIl488NLtL+WTheZ4nshu4PFVsa+zscsXhodi5/zB22uP/ eJ3XzDKfpwv3nnAxM/1whmLmWcV/t9tNsfM8tO3PWummP2iZLf2Z+0l/hrk/ MO25X7TX3j/6M/cHxk7/xQ5jp79ih7HTP2H6I/cLxk5/hOmP3C8YO/2z2sCk Mk8mHVcW9N/W7O6nkcruUm9dXDeEKhM3Ttpi75GsXNsUNW/QRT+lY9e5m5Rr 6crSzdN+Hj52o65Wg4wVXwxxF65ov/F40towpVPib137HoqU3+P3h615Z+u6 IUvacz95X3i+XB/+JQ9ttQz49KqS5VF438tYff70V5j7z/3BDmOPvLEhs+SV WMXW+GAT54Z6pa3Trqjui6J15qdPDDGfPVtxORXSwumHcOGCoPIO4X0eCp+O W324y8QAYd4/eE7DQpvg9jeFpwQGJtwuf06Y97P8F/uvZI+9LP0P5v5Y2m+9 2qTfeeEnsR6XLs7RiX/r1+nR6wbfEX+Y9rfMkkYcCbglvCs0d9hM/V3xz2hd 8tnGK8HiD9N+5pqioR2ygoQP7lnT3MgoRJ4Hz+f1t1OCdE+DhLm/8c12Hz21 K1ruP+MF7z9Mf+nZK/Zh/Sfxwq+9x3zq3DBR/h/9g+th/oSZD2HmN1g7X3G9 9G+Y8UT7PsBcP8z18r7y/3je3A/a018Z7/h/MPczyG565ZFfqvMN/Znr5f5y Pdi5XuyMZ36/6DIcbJOtGc9gnj9Mf+5ttiZwrF2E4r9weMSxQr28P7vcYkrX KaGX8azUyJ4ej6xiZPyy77+++jzbMBmfvvKwMY2y8ftgfnxsVLXbspf/nB8D 5rct+Ujx7GHaufyjSKXZ+s3WVtZ6JeV+QI/IeXrlWIjDdxXPhSkL+lof7lEu RblgdqHD8ar+itlxZ88neb+PRzfW/Lawa6R15VVRZ7OmrReOGfJs3Fz/A8Jh sVuDlm/zEe5q73FsdIurwtsGT0wMybwtHOA2J7jrJX/hfXrdrLPlgoW/WtnT burMh8LzNt+fsaROuLKi4oGz1ydG6S5UCRqx9vf717P/p8MHfxksXKVRyaJ7 Fa4Lc//hpODOk9O8riswv9+7e+yPPcxjhJNSfxj/Zmus4nGkZaXxa4Olfer4 q3YPfKI+8DctSJ1ayfqJ8KP7HdokDIxTbGx9V3+2N1YJvLrOo+jaY7G/Gvym 3bOmCcK9jlqf8YtJUPJ//dm7fvto5dS+sr2UkQmK69AZZ8rfjFLKB+qd/ALU 9hNaGns/8EwS9nL8ptXJCcnC98uYWJzr9FS47gjbU5sznkp/blWyWaDT5GTF 7maFHU41IiReWH9p+N6U+qGKpXmVoG5VVf8OcZW9dt5ME17dbrD5vPlq/zhw 6bM2P3+bIZxdccTJYe8z5P0q07JPzqGe6crbAy8GxC68J/GErfXAHFfHG4r/ ir2LBi1U/Su41DvzQ1iW8PCUcc27/JKtTG5+Y439hAMSf7TftqTUonrJ14gv aC/jl4Fl/DKwjF8G1sbnPF/eZ5j3S/v8tfE5du43TDzC+48/7zusjV9mnppo siQ2XuyMhwvdz1p0PvnfxkeDnfEBJn5Ztm58RE+zYIlnmD8OV/au17JyqrTX xjcWLU/UqdFRfT7ENxsH14q8f8NN9Nk2HVb3ZSmvD+7P9xkZh5/EnxA+PKpv ct8Xocr6CQF17m2KkPZVG0z59kWdSGXX0PcWgV2SlMPXK60vMT1CMa8Xv2Ka f5Ly+Sfba+zqGaTUnHLqdvS4NCWkzNtxzRYFKkbBWY7tYtKUqrVXPuvd4bxy vU9yl5zsTGXQphMVTNp4KBXSyvTpfDRL2eE7r+bBUaclXvLv3tf0wYv9Ou31 Pp4SljH293kHJp5i/qH92eodXqV29FFu7zLZU+ZKptLR8Y6JR2tf5buQ6YcO fpkp8Zb295mvKrZ7tfii/fkP8hn6B/kITHwB83ykveF5wnGZDw/N366X+ctv yJJ2F6fqlYyN3k5jfGIVo7H+n2zpGCv5R0DqRtczOTFKt7R2N0uPilOyTN1O X5sZo+wapt/oXCJeOdG31cnc/iEyn0432W9W0yREmTTStPnJq2p+EWxklPrO JVv0MP/1q+ibPjUxWtfmzobeuiFu1tUrLvKrW1ll+5ZetSe9CBP2bJnfxfte uDD3g9+r2t9861vvh2KP6pc2/fSTYOGf4ro7Zm++K5we5++/oeM9YeZjmPvL 73s07DTL1OQ3sVs29G6yYtwN4ax7PXd9Mf6scELgoBbjvc8LMz5J/Gl4/jur bPW4V9ZbfV/dhiab6K/LeCbxpsFekDkhZMHR34SnlvkpfndRgLSX+NJg3z/Y Icjk3n3h8hf8sly3hihxFba9v7UxRvrv4X6ljnw/JkQ45B9prmGjbwk3v3d2 cdCoi8Lf7r6/ffGcM8JdD5/cd0N3Ufo310N/4/8vrjwy8TOTaOFzdRPSm53X Kztt56+4ci1Q/AMbf7pgQ4pe2TVhfVjz+Chlylt74xRvvTLlVdlZIe1j5Pfp r/xev5tT4p/UUefXb54uyF+YGKe8dXeNDHKPVZKOz7/6fP9j8Sc+pv3Wr67M +s5VHV/PXF82d/T0ROXEtu8eG38SLfF082kvr/WxiFLcvNOmRPdPlN9j/sT/ TbWbWR3rq/Nz7V2rn3crSJb2vD/YJ2X6z6h3TB2vV851mtNkWarifOVlc5+c cOVqp1PTExonKzZtl3k42IUqVSasWzU9OUWd/wzzKf4P/B5klGirzteZti45 5cs+k/YS7xvsndwifky59Ewdr5vsmpW9OVO5HOBSoazPdckPyBe8Sry/cKFe pvwe8zH+hxY9Sg/onqWcuzQw+ET/3YqbW+3BHiOzle4tAwd+Yh+hxmMto0uX 7xumxm9xC3O6bQwUto13Htaps7/wqM3JzfptviX9xWzTvetD4/2FM1YZz6y+ IETYZlXBpVpuYcLkE3m3ho85E5iouPW5H1dv0HZ5X302fNVpQR1H4Wbdne8s d48R/zXdVldb80AvvDDZvkeOaYwyr6fjP1aNjVeahI+xiQ+7pRyf1toi0ueZ Uir7ZEBqx3uKrq+D3dfm6YpxkwnbR+4NVnzLhiuLt6ZKfvtNaFqb9IEXdcQf MPEHTDwL4+9fPzChVost4g/jD+MPN/HK/vqJ3yPJP9r66Po1eZMg/GD7L2/0 v8eB8Ix5/Y+5NH8mXGFwzSE23bOFw3dmOxqdyhVutHZwZOzFPOG5C3xa+twq EL5pV3eVc/AL4U+HOsTM0L8SHvdNYps+qW+Ez7Tv9Uuj/HfCRQ1PPioqKhJG D/EUemD0wOiB0QOjB0YPjB4YPTB6YPTA6IHRA6OHeBA9MHpg9MDogdEDowdG D4weGD0wemD0wOiB0UO8ih4YPTB6YPTA6IHRA6MHRg+MHhg9MHpg9GjXu4m3 0QejD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9MPrIF9AHow9GH4w+GH0w+mD0 weiD0QejD0YfjD4Yfdr9BvId9MLohdELoxdGL4xeGL0wemH0wuiF0QujF0Yv jF4YveQb6IXRC6MXRi+MXhi9MHph9MLohdELoxdGL4xeGL0w+fq57xpEmHXK Ef0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+M/qk3Dtdw+TlX9MPo h9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6TVs1G1L65nPRD6MfRj+M fhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+gP3XVy24Iy+aIfRj+Mfhj9MPph 9MPoh9EPox9GP4x+GP0w+mH0w+iH0b+2bOuwNJsC0Q+jH0Y/jH4Y/TD6YfTD 6IfRD6MfRj+Mfhj9MPph9MPot553ttqozYWiH0Y/jH4Y/TD6YfTD6IfRD6Mf Rj+Mfhj9MPph9MPoh1k/JX+Htfvj5M+ynqbZDye/5X7K+rNhveuTCokFw2Nz hG8tsPsysP5z4YVJafOsJ+YJtxo445znsXzhxKs5ef/ILBDWXj/xJtdL/ML1 Md/hz/gPMx7CjA8w7wtM/2F/uVKeo1O54GzJnz3NEgaUmpIk+2mrQrP73V+U JusDrK8m3Bn50iY7TtYfYfI1R/eGR0qUTRY7jN109bOBF03TxA5j953g/X6m ZabYYewtD1wNr3o0R+ww9qVbGphnnX0udhh7oMPqFXev5Ysdxl5nVlrU4YBC scPYp43p29ox4qXYYewX+3qtHpnwWuww9nJdaugts96KHcb+vfkii6qv34sd 1ubD2vvP+hl2mP3ULTHfO5/aFSf9j/UqxguY/VD2U1k/7RC7Z6rnKA9Zb4BZ P59tprdo0NVbeNP85TNMOx3UsV5Me5j1CtZ/scPY+f/wfLfBuy6HPJH94ajT ua+qlUgStt94yT2gVqpw9enLBy9vkyE8/Egjo88b5Qgf27Z26IvWz4Vfrszw COmcL9xz7oCSp3sVCruOPzd83eCXwkkDa3lOHPtauH23pWW6/vhWeGWbuFF1 F7wXbtGsajmTn4s+2P+/EHvsiL3HY3k+5Gu8n5wvgRnveF51Xqc+SM1Jkff1 YO3FlRr1ypT9De36EP9/vW7joY4F8cLMD3CzfUMGZFdMEWa+gP2W1nt3pFG6 MPMHPHFk8vFRVlnCzCdwib1DT5o0zxVmfoEHOF0ukfxlnjDzDey2xHTY9W4F wsw/cNa0Fad3930hzHwEW49IKbVg+Cth5ifYqY/NyEGT3ggzX8H6jqe9Ws55 J8z8pT2PI/tBhveV+YvnAdMfON8h+z+G+Yv5HuZ8A+d96B/0B/zJFxnfOZ8E 48/zZ3yhf3A+guePnf6Bnecv+1OG/oGd54+d/oGd54+d/oGd54+d/oGd54+d /oGd54+d/oGd54+d/oGd54+d/oGd54+d/oGdeAY74wF2+gfrhYx3jA/YWX/D Tn/BzvhA/4LpX4wnMPM//sQn/D529ge069v/6nmZv+p8zLFyWa+m/onnY0Iu xzbwe+WpgwO7rtgcdttdV21Lk3H75sbJfoHXzKyKQzYkCffve+FShUOpwpkt ltndvJwh3LP0oXVWU3OEt+WXias5/7lwUuI0yzzHfGGL0CCnIKdC4RU3LRKP 73wpHOzl2mn14dfq/smB15vHeb4Vnr1lTEpn3/fC9D/2k7XnWYo7r/Kx500+ 9ryI9jwI99/KsmrNQ6dzhBOeeIdVKZcrnHNw+9AaeSq72naovtL2ubB75dqu v3TIE7a9dHlwwRaVRyzdE/5qSb6wURNrl8nhKldJq19j+vUC4QvON0KiaxcK E9/D2vmW+8/4CjOewoyfMOMlzPgIMx7CjH8w4x3M+AYznsGMX9rzLZxX0Z5P Ke78ifa8CeOHNp/hfIHshxvyGzmPZchvYPIbmPxGuz+p3Q/8s8+jMF7yPpHv wOQ3MPkMTP4i54cM+QpMfgKTj8DkHzD5Bkx+AZNP/NvOkxiev+QPhuf3yRr9 10vXnBfe912JHcHDduv+v5838TMbMa/j7+Pyv3qeoigrPyXEPlHa773v67Ju kzq+dPZY1bWruzq+RK+3zSy8qo4vvu3L349IV8eXio1mNjxbqI4vI6qFLNpo rM5HJ4wtg6d8os5HL3N/bdKjjjof9Y5/t7R+E3U+cg3+IfR1W3U+svZ3WZba oUi41totW7+4qbL2vEdx5zeKO19xre216qsuqOcfij3vZeivrAfRP9d88fxc 5CSVXTNCLfUDcqU960Uyf7nOz+9zQh3PbId/b99v+3Npz3qSzGfGr9r5Zqn+ Rn4x569H50l71ptkfpu1dG6rdipfsBhTYGFaIO1Zj8I+Sl901m2BytP2x7c/ Mr5Q8kX633dZzaxdq6v5olfRli0vpsXL85ngsP7CIgd1Puv/eFiX0yuShUuM GTShzY4UNR7yNUufuCtNeL9VnSpPT6cLb9id6lr3bKZwl7oJvnv9soSrd4lq kJakxk9Zb8PaN5+l9teJ5lYLb+Wo8ZRVRscNpZeo/fdcXbeg/W/V+Mopdk98 3Bp1vjSuUKrxknLqfBkTYNTR11nlQa8nLxlaXZ0/m1+euGnHPpXd0u49bGum zqcLj/sn/XRC5Zyo1s0qmavzq/9O8879LqisPc+iPU9Y3PkU7fnI4s6r8Pzj HAa8mFpR3T8jvid+gYlfYOIXmPgFJn6BiV9g4heY+AUmfoGJX2DiF5j4BSbe 1eohPkMPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MHpg8h/ORxNvwzxPmPacn6Y9 THuY9pyvpj1Me5j2nL+mPUx7WOqBDPkg+SRMPgmTT8p6s8Gf/BF/GH8Yfxh/ 8k38Yfxh/GH8iYfxh/GH8YfxJ7/FH8Yfxh/Gn/gbfxh/GH8Yf/Jp/GH8Yfxh /Bmf8Ifxh/GH8ScfwB/GH8Yfxp98AX8Yf5j25BO0h7GTX5D/EK9KvaWhPkHq Kw0s9Z2G88GyH2Ww0/9h2b8ytMef88LYYeycD8YOY+d8O3aY65X6WMP1wVyf tj6W+If4mfiG+Jz4BX/uF/9fO15p75d2/NLaGY/4PRg74w92GDvjDXZtfRt6 +f8w6+vsbzA/s78BU99Je+Yb1lepb8MOE29p6+W0v8/9k/pwTb0c9Yow9Yc8 H9kvMrDUfxqep9R/Ghg7zx87jJ39RK6H9W6Y9WmYfFn2gwyMPvJn7DB28mns MHbya+wwdvJt7DB28m/JTw2MnXwcO4yd/Bw7jJ18HTuMnfwdO4ydfB47jJ38 HjuMnf5BvSpMPTL1vfRH6nlh6nVh6nVhxmcty36sob+z3g1TX0z/Yr0Bf6kP oF7HsB4Os7+JP/kh/lIfYGjPejlM/azUGxvWM6XemHoAQ3vWw2HW0/Fn/QN/ qQ8wtGd/Btbut7I+KvX21AMY2rM/D7OfI/VEhvwWf209MPs9Uq9s2C/En/VX /GU91tBeW5/OeQLqwXn+zK8w9eAw8zMs9cDs5xtY6ukMTPwFa+uJpV7OwMQ7 MPELrI1HmM94H9x1AaVGns+T+0P8Qf+Pb21s12W9Oj9q50viD/S77ll95ExQ rozH2vmUeIT7+a2JSXKDannq/9PUixM/yPciDMz8QX0895vr4322Svlttb25 Gj9xPbz/uYN63U6drcZLvM9cH9fD72NHL3bmW9bHmG9hrp/1B/I17ORrMPka TL4Gk6/B5Gsw+RpMvgaTr8HkazD5Gky+BpOvwWstRkxfVC5W4pfLMTMdYxfr JV5Z3Kv2q+31H32QH7Fey/t48nDKV5XWqfFxP2/PT5OT1eeXFF552imz3+Mx x2rnU7/RKw636mctWhugNE91TPCu/UhZ0+FeY4voEMX5l9Nn4kxDlXNrG44O tjire1l95EXHV5HKO9MB9SqfOPyH68XLhXk/TBsRKfHcy3TvzU+yo5UwH6te e3WXiq0nNwtpNbxoRazSY+mru+WqqPZ/tb5cW9/9764319YPF1dvXlx9+R+t H/+j9eDF1Xe/H+MzvJaVt4w301c5VxpocVfGF7PUTc7P24TLeOs3a0ztA48f SvxsuaPGpYkpoR/kE4wP2vrw9M/bPJh6J0ryCdpfej+/pO86tX/+u+rHi6sP 19aDF1f/ra3v1tZzb1n3U/2Kljdk/mH+6na3xA/jrXKVt+3yhy66FyzzDfNV 5xQLXfSa58XWgxsHfb0qd7WPrlTjao4vTHKVWz5zFraPuae7MHt6u4LBz5WK y3QmjqMjdFaXazYbtilPcbrpbJzxdYiSMedW+fgfL+gOR5TwuXYmXLE/kX0q ue5WXX63U0XNG+vl+V7uNi1WPyBW+JNK5/tXGxKldMwcfurN7eMf1J+fvZMR Xretm25K6avbJ43JUXqs7+xUePY33ZGX62Nqe+UqUQfG/T7Ehugcx2z+smTe c2XL3C9qfekTo3s96tLM4U3yZbxVHizWh3fLV4ZOSB40r1KU/H/jUqabPnsc oXjsfOngvvQXmX8Z36992/jEnGpB0t7S9uTzSr4PhC+uqud+tSBUeNmqmOWz GqjMfP121S4fCyO3P1zPHnXNy8xhVpiSGre5yrCD7pI/2l2oZqcb5qJzmm+V HB4RJvkm+anNF51+ml3GUzcgwKvo1aVwyR+4PqmHLqYefuEds8KILRGS/6WW +zl0dYkYiU+me75otsgsRtk51mX7sYVXlM+Xv1yq3IlRYn/+yfNBynUlePLn HtaxsbL+UbVahOLaQK/03uO8e9zou0q/4e5v+qToZf3DxiNrxORCvRK0xyTh hNXDP73+fkC3OXu9Gz36YH0FO/eD/qD9nkXpQTk7avp4yP1rMCBqvnt19w/G M76vwPXwe+sPVshqOfWK2v5QTQe7y9eEX2+q+6ub0x3hFZu2DyiVdFt9Xh9Z v05+Lud5zCzWukx5Ir/XZ8tXEbNN44R/ddhnbts8QXhJ0dI6ja/HC5PP83t3 s+JmGwUmiv3pTOOVTS2ThDuMsYs27p4iXPtxjzuxkcnC5P/83uT7x+r5JD4V ++q+Aa0f900VDrdqtebS8HRhH9+K85yz04RZL+D3SnvMDpjx5pnYG5o767dN yhCeW7fQYvacLOEhu8PM+pRVmfUFfm/QN3s6O5vkiH1c6VO3jlirXO7d41ku PXLV52kVlOJQWWXWI/g9t/ZGzjNqPBe7Z36VusttVB6W0d1v5oA84d7mFl1G 1lWZ9Qt+L6fhxNTeDfLFbpQ0b86ooSofi3X/3GZUgfDOuq4ulk1VZr2D37Ou 5m/dqGWh2PuFRt3pMF7lwoDycxtPeSGcUv512qftVGZ9hN/bZGy+vajjS7Hv u2llWm2myj0vz7xrNO+VOv6+Ht0101pl1lP4PX3u5mcxPV6LPcPLbV7WIpW3 HQ+pr3d4I7wq7Yarv43KrL/we+bxed0uDHgrdqsDpe7dXa1y0k5Le58N74TD ohpnHhqqMus1/N7S4O93bh31Xuzrt0xpcGSryhZrdwU67ygSbuS/7muH8Sp/ 7PcnyuTbDNTbxSo1m749Mnn8rY/+HkWtxB9XTt2nV/qfGtl0Q9h95Sdrr+Tq IXqlq12Ncs8bBisRsW1aZDd8pJSzqTB31PFQ5XL5cs9WNn2kVPF/f/TwtPAP vh/zv/37FsV9n+Bjv2/xsd+z+Ku/V/FXf4+iuO9NTHZvcL/G2PG6hZ4WBefL 5Pzl35u4cXFFnbELXGR9h3gq42zY3cYtchS7M6O/Xv9LlM5/3OlB/jF5yj+c W10bdDda9otYL9pz492Ro2/y1PWcrq9mVjyXp1Rv4T7ssX2krCf5XXacHb38 jO7i48SlvudyFMv5g3PmXL+jK1wd2rZEyefK+p6L5rl0DNM5/VDbsl63PEX7 /Yo9R8aPyC2KUgbV+vnX2VleyuXzRv33TNbpvouy2f/ZmFzlRbNvq9Y3CtYl XRzypOCQWj9IfkV+AmMn3sOu3X/Qnm8k32J9BmZ9BmZ9BmZ9BmZ9BmZ9BmZ9 BmZ9BmZ9BmZ9BmZ9BmZ9BkYP+SF6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdED o4f8Fj0wemD0wOiB0QOjB0YPjB4YPTB6YPTA6IHRQ36OHhg9MHpg9MDogdED owdGD4weGD0wemD0aL8Prd2vJh/Hrt2vZryhPUx7mHyW87H4w/jD+MP4c74Z fxh/GH+YfEjquwz5lHY9R77fbMg35HvPhnwBJt6Hiddh4m35fqAhXoaJd2Hi VZh4EyZehIn3YOI1mOer1SPfnzbogdEDowdGj+T3Bj0wemD0wOiB0QOjB0YP jB7teQDW73j+MPk163n0F5j5kPOL9C9t/SzzESz1gob+oz3PpT1PoZ2PsDM+ wIwPMOMDzPgAMz7AjA8w4wPM+AAzPsCMDzB6uN9cP8z1w1w/zPXDXD/M9cNc P8z1w1w/zPXDXL/2++ms99JfGN/oH4xn9AfGK/a32I9i/4j9J/abiJ/Yv9ae p8Cf/S3229jPYj+NeM3I3qnRtu/V/giz3sXv0/+062Ha76PL+V/D9XD9rK9p 19u046FWj+wXUt9lWL+R+i4Dcz/4/jXtyf9oD2Mnv8MOs/7E9cHaelyul3pB 7fkU9h+p18VO/SBM/S5M/SBMPS9M/SBMfS9M/SBMvS9M/SBM/S9M/SBMPTBM /SBMfTBM/SBMvTBM/SBM/TBM/SBMPTFM/aD2fmu/Z05/5H1kPKa/yvlzQ3ve D1i7/814jb+cRze05/2BR5r363H/Vb74cx4dfzmfzvp1QuWJZfaoXOXXhysV a/V8utRbGVjqhQws33sxvN+ML4w36KG91BMZmPhHzqsY9vd5X5hf6P/0b+zE 39h5HtiJZ7FzHkdbX/n3fvnH7Zf/2fvjxdWDFrd/Xtz+t3Z/+/9afekfrd/U 7hcXV8+p3U/+s+s7eT+Z/7T7PR+7f13cfjXv8/+0//SfVk+qPQ+gra8qbr9a Wx9a3P71x9aPfux+dnH7eX/2fndx6+faerT/9P1vbb3cX72fra3X+7fvX/+H 1xd/bL3vn73f/ff+9d/713/vX//n7l9r96OL21/W1sv/X6uHZ7yU7xH+L6sf /7s+/K+tD/+r95+15ye13zsobn9avn9zcuTlVQVzdR+7P53zTevxj8weKdum zNnbtH2E8l9gHqWM "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl1lU1VUUxveRK8ogcLmCwAUuCCIpiqIgxKSimChmlkmoDeaAplJJk2U2 mAIPrea1mkdtrtVo86qeavXQPE+reVpl9dDoqr6v/bng4bfOued//vvs/e19 9h9K1/Qu2zrCzGLBLAnj8aARlIGNoAeMBieDZlABTgRNoBzkgbEgByQDmDHa ywApIBWM0hrtrwNrQQSk6R0+z9Rerk2VzXFay5S9FjBR81ZQqWeTwSSQBapA VO8PggHQDbaAzSAd9IM9oEv2R8qPzbJHH/IVUy4oBgUgDqZrXgT6wDbtnSZ/ +WwmmAEKwXIwC5SCGr2XAJeAXbI9QXoHaV8uvXrkyyH9Rg3TOFl+x3VunmLq lt9rtT9Je9OGxZqq3KRIyzHKZ4X2U/+50nAJOELxcKyVz9WKO1fn5dtQLeTJ p6OUmyz9jkuf3Yq/VvrF9U6BbFOjemmWULxl0oD5P0w+J8ln1tJJYLW0/A1c A1ZJ44RsHgs6wWzluVLxZ8juGPk6Sc9HKBc8p0E+lUiLYvlNnaoUd7t5HTCO NmlEfeZJU2owB0wBMbDAvJ7oWweoU8wLzWuFfhfqPJ612LyWxsuPeu2pUkxR +dskn6lZo+JYJZ949oDGXOnXLA0Zd+swbVqkzTL5TZ+PBIt0Nu8S70yafE/I /y7pEdXzLdK1RjEXKe52aXUqOE77D9VZsWLq1HqddElIgw6ddbR0oSa8d0tk gz6u0J4LFENMe/nO4eb1eYx5jdLmctlZoTnfbVDM9YqJseVIs6XSrV7ncX+/ YsnW2CX/eRd5J0fr/W7pfxpYqf2s3dXK26DWY3pvnd5lPk9QniN6xlyzV5+i nJwDNml/pnKQJRsbtL5SPmTrd498PFe6cP/ZYL0N9eoe2V8vWxGtbdT6Js1p b6d0p/9bzWsgXWcOKPbzFT99OM+8DqLa2ysfzgQXmt8D1uDp5rU7H5xh3ncI +wh7SFxz7u/T+4XK6VnK6w6dnS3Ntsu3DdKO/lfrjHyd06d5rzTKUn53yE6n YohK252Kfal0jMjvNsW+TTbpG2uafarEvC/u1rxWv4tlc1D6kT02VGOsuS7B 9RwbuucxrfVr/4DscP068LF83K48UYdbaCN4rD+D28z74y75UyKf+Jt3+Sba Dq7lL+B28/5xA8gMriv7Ivsge+Cv4A7zfnMXNQjew9i31pj3pDjW9pnXxDdg r/k95d47zfcvxLwDXIz5XIxtwfPxO/hDOazA2gM6/wvwnPmd/gv8LY3nYc/8 4DmbgfFJ835Th/nT5r1hMuYPm/et8Zjfa97TE5jfbV7HP4Efzb8zr4BvzXvY FaAmeF97Rnb/72EYrzb3/wn5RH+mY/1x8372lHyiP80YD5r3rpbguWFeXgCN wddfAq3Be/fLYE7wnj47eG6Yl8vBouD1PRXjo+a9ORfzS82/r1+Dr8x7ZTXW 3zLv3TMxf9u8F48Lfh7PehO0B7+recHP5rlFwbWgDmWYv2r+zfwSXGXebydi /TXVx5/yj75VYf0N8+/Ed+B78379KbjHvKd/Am4171kPsaaC3/nFGN8378sf go/M7+iL0pFaHZR2nH8G9ktzavO6fKCuz2vPLMzfM//2dGL+rGrpHfC5+b1o oO3gvaYJ4wfm35wr5RP9+QEcUOyBf9wE/7ubGk8JrjNr813Vw37VBH170Lym Wc/3qRZZh1GMN5r3YOZnWvAc3W9+H3gXHlO+mesUjKnB71syxpHB/67PwHi9 eY8/oDzRz3SspwX/P+AR8/vAu1CCsTR4X07CGAn+fWLeKoPnLj/4ned9/wf8 a/6dW8A7AS4yv5fUlHpSs/rgulHv2uCaj8V4s3mfugxMCN5PWTvlweuH9VUc vMbYMwqC9w2ec635Wf8BkL35qA== "]], Polygon[CompressedData[" 1:eJwtlGdsiFEUhu+t2nvvUS1qVEtq1KrSobZaEbuCIFrEVjvxByH23rH3ihli JoJEJERsYo8/RvhhPG/O/fHk3HPv/e493z3vOVHZuVk5Ec65wRAJh6Gedy4V mwDb4QP0gV6wAyqwXl/7oCzjbdhcGA+f4RPUhr5wFTZAT2gLa2EFdILusA5W QhfoAafDHq0lQn3OP4adCpPhCzyGbtAPXsDLsLcaXAxn6qwkeAWvw7gWHIdG nJmObQL34ChMgTRYpn2sT8KmwE6oiN8OGwu3oCr+BGwe7IPvMBAmwm2o6W08 B9bAcugIg+AOPIcsmAerw526ayHsgep8315xwi6ohJ+MbQBFGS8NbzkC8uMv wbaBYeDwF2NawxBoin8G2yy8+Ru4Aq2gN6yCt2GsnMWw/yC2sTMNfIR30DBo 4ABEs6dD2BPF+Ac2ztmbXYMSzI3CTocbUA4/BzsTrkNp/LHYGXATnjnT1iwo yNpfZ3ocLh3gPwi5WwQboThzI53dke5NA8r9fCjp7Q6dPRqehJzlBc00YP1+ 2CtNlfcWg+6Whst4i1mxjoOTEM9cht7S2b/+DLnUPz+CS9DfmYafhjfQv0vz Rfi2ENRlnC0deNOItDEbzkIic5nY5s5ym4G/IOT4LmR604Y0sj/MpQQNSXup rM91psFv0MHb2QNCbEn400KM56EFfmdZ6cBbzapWteeytMRc16CRNG+anefs jvXOalqxKcYUadVbbUij0mJhb/8qTe4OMSkW1Uwcayec1Z7e9D18dVbL7eEP eG/ajYYIxgW8aTvG2VsW86Z9vWkdxoeUI2c1ttVZT1IvkuY2Qyn8Mc40F8v4 iLPeph5QBb+yt9qSxhMYnwq5Vk4eOtOgtKcaUm3lwx/qrMakxU1Ba9Kkeol6 lnqVekqkt39Q7PrmF/x21mviQ2xbgtYU47/wBvp31UBL1i+EXCknyepF3nqv elIzxueCdpTTGvh7nfUO1eh/ULqd8Q== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVmXn8l1MWx3/PuQapzIymyWSIkJAZZCcqS5ahtGmjXUUrEWVJRaFFiVJJ +76pVCqUkSSKKKQwWUMxGgYjnLfzeV5P88f5nbuc59zPOfc+93ye7++oNt3q d7WSkpI5/ie5fsz1aJfpWUnJta5buNT3djXXp7ts9nYr1/VcN3SZ5u2pLnVc 2rhc7WONXKZ4e7LLxS7jXMa61HCZ4PKESy2XSS4TXS50Ge/yuMsFLjNY3+Uy l57u63qXDllgnO1ypcs8l7kudV0WuMxnbZdZLjNdrnBZ6PKkSwOXm/359vLV 2KJ9k8st8t3R5VbpTi69pG9wuU36RpfbpTu73OnSzaW7y8Puc4TLsS59vN/F pavLHdLYDbdY826XflnExvr9pVm/r3CB9x5p7HprTfwOkC0Y7xM+cD2g9cA1 UGM8N0gaXPdLY7fc8SxzqeJyr/zha6kFxiEuQ4UXXMOkwfWQNHG84LLY5SmX 4/3ZJa5fJCfCiu/RWhuMIzUG9kekwfuE/A53GSXcPDNeazPX1P0Pdj3GZdw+ GB+Xxm5sFjbMTZC/ES4zXR7Ts5OEDyyTpcEyRfpRl4l6DrupGgPXcRZ+ZrhM 0xjxzZJv1p8tDcY50mCcK01M86SJe6EwgWWRNFgWKAawPCk9SfmeIlwjLbAs dVkmXDO1H1OF8VG3ecSlKu+K1sTv07IF+wrhBu9zWdix/kqNgf0ZabA/K43d KtmCcbn84Wu1xojveWni+6f0Yu0P56i/8o3m3KzN4iwR1/cun7p85vKKsIJr nWImjpelWX+T1mbN9RrjmdeFlblX5YOYNioe4n5NGrsNmmfuDfkD+7taD98n ek7XZHE3bsmizfl/S5o43tRzvCtva+wll62KAV/vaIz+Nvkm1u3S4H1PGlzv S4P9A2mwfySsrFlNd/bHLjsUP7n5UBq7T/bBvlP4wPK59Fblfoti+kwau39p Tfx+IVtys0sxgP3fwoftbo0Rx1fSxPG1NHbfyBa8X8ofvvZoDOz/kSbWkyzi +9blO8VKTNQuatHVymv+fvygGIh1r9YA748aI+7/SRNTssDE+j9pjGfMIjbm fpYP4iuxiI2YMguN3S+aZ24/C3/EUcZiPXzvb0UcB1jo/7ocaKF5D/4mm9+5 LmUxRkylLWLA10EWY/TLWvgm1oMtNHh/b6HB9QcLDfY/Wmiw/91infIuf1Yb jOUs4ic3f5ImpgqaB3tF4QPLYdJgPFTzxPQXaewO0Zr4/atsyc0RFjGAvbLw YVtJY8RxpDRxHCWN3dGyBe/h8oevYzQGdvhMA4+9bhYcBl5TT3n/RGefd/w0 veeNLLhMuyw4C1wGXrFK7wHvA9wHTgSHgO/AceAZ8B04ETwD3gTHgVvMFpeh vs8Vl4E3TBeXgXPAa+A+8AC4Bnziriy4DxwHjgGvgTPAIXIeA1cAX0/NgeMW 9a+x4EM9soLfwAHwBY+AJ7Beb82Br4/6Ob/pkxV8BX5A7aX2jdEa/TQHFur+ AK1xn/o5B+onrAPUZ72BsmMduAN8AM6yVDwg5zcDs4Lf0IezwAeGZAV3GZoV 3GWY1huufl57hmv9h9UH30j1c74yUus9qj7rjVKf9Uer38yCr8AVcn5JrHmN 2ah96iu8OdfspfWo8zkHQedcBp1zJfT4rOAxk4SDug8/YG3q+wyNwQkWZwXX maw+dYn6BEcYKQ6X85hZWpP6Pj8rOMrCrOAxc7Xfs7RezntmZwV3WSB8C9Un R9OEK+dGc4SVe3qpfD2d/X+NX5cV/OMZPUMdX5EVHGWlsCzXczn/WC0cq7QP T2qM/jDF87jifE5rzJbv5VnBXfB1ggXfXaO59cIHburNWuFepz4+XpHds9r/ DcL6quaW6Dl4Q85rxymmDbIborGx2mvOImewtO7Nw6yoH9zF+KNWvyXs8ALq Prip6ZuzgltszwrusiUr+Mc2xfCOfBEndXmr4tmm/jqNvZMVHOW9rOAN3KWc feo7tZ77cof6OS/ZkRWc5n1h/UhzW+Qj5yzoj4Vpp9bIuctOYflCffB9qT54 d6nPOtTnr4XjG/VzjrI7KzjKV8K3R3asT534Tri+Vz/nKHuEj/lvlcvdWhus P+iZnHP8qHlq8c/C+pPmwLpX/V2a3ytMJarfO+Xjh6zgHyXiKab6Cu6kOgu+ /VS/V2sP2JPnlfdNWcE/DhBPKaPaDO5Sqt+sd5DqeKaaS/0FS2nV/pxbUJuJ oazqcc5FDraCi9DP+UpZYS0nv2VUyznr8BF4SXmd9QrqHyCeUcEKjlJuH85x qBW8JOcpFTVXVpzjcGGqpH7OMyrtwzOOVEyV1T/H5RSLb+qnXW5Wu5w4x9Ga P1a1+1zXp1p8U57nUn2fOwXNuzha89yLzFfV/XyI/LH22Rb3Ec+dYcH7OXfL tR5rnWnBlTmHZ1nwSPJ3sgXPK691TlXN4vceeA/v2UOuewkfv+XwO017Yawu PPjdXz6pS9yh3NOlkuchRW72ulySAhP5oZZTx1n/LD2LX/zDWa53XdOlibdv UX6rKNbzlKvTFD+x81vT+bKvKZy022v8mix+a2KuaRa/QV3k0jyL9eBy8KMO rmvLBp4DH4MTdZR9syzma8mGsQs1PkHP0r7Egu/hH7/YwAXAUkN46GMDX+tk 8Qz2l1vww2uzmINPwhFucH2pS4ssdB21p2kce7gcvBHuxjP4YYzf1vB7nbf/ YWFDu7NFn/ZVFjyzJbG7rufSKgtfjMMBu1jYYTNFmMGAbV3Zz5ENbZ5hnFzO k8/W3q5vkVvas4ShpfLTW3t3ozATVzeLZ7Dvb5EL1mVv4MD8FtfddUOXNlmc YzgY3KS5BSdjjNw3Uv4Xu15kwYMX6tm2Gocfw/NHWbzL+Gqi8R4ax+eD3m5t 8S3B9wO/mfL9ybdnO4t24yx+q6wvbHxjYM93B+9cc2G7zuK319zHtXoWW9bg W4Wxlhp/StjhkqzHNwy+21q0+Qa+2+LsciZvt3gfiL2PxTvWRGu1k/2dFu8A Z/t+i/1mX+6xOKOcz3st9oZ9GWhxhjg/D1qcG/Z9mMV+EG9Pi3e4inLcQ3km lzcpz+Btqxw2Vc4H69mblWd0T/kh97dqnHuIO4r7cYjFWeGcsFYDYVhpcedw H5K/25RDzlof5aGvRZzNdR/w/ca7e4dFXsgJ9/cI+bnLIr/N9M7epzzwTvSz 4j0doFyh71Wb+f6y4bmBenaoRe7APFjxtNa7+YByi35Q7UEW+9RS7+Bg2fM+ DdI4526ofHJ3cqf/dndbnCG+J1dI3607ra/ysETxcua56/lGgOeSa74ZGEPz OyP/O6Bm8b8E6gm29KlfY9RmbIyena49HaV9bKY2+889epdy+4ie4Vm+u8dr L7jjx2rv0OPUHi376XrfmWuvuwUbxi6QL+5+4ntYMdaUf+Zryaap7u8nhGeR fLTXO7hEz/I9vkB5xp5v/vyOn6h8ch9P1RlAT1ObnFOTeA57fkfg7p+o8eY6 V1M0X0d+uOMnazw/b9M0zxngbr1CMl1nDD1DbWKaoLhmyr6lcGKX1xPmOuuc 8yzz1AR+v+ii+jBTz9YR/ha6+2frrKLnqM3dT766qT1X5xY9T+26Gu+qs804 Y/xvh/u6re7++cp5feUffw1k1133wEKNcV8u0t5xJ3Dul2qMe7+d7qXFsr1K mImP94P95r5trHYPnZ8lmuf83KEzw/2F7yE6h4vkv7ZyzvmCl8Hb4Gx8l/NN zrfmBc6Vtljcpztd6qew/cKlUQoOt5t9S8HjPiU3KfhfC9dfW9z3z7u8pHW7 +Xj3FHdED9c3pbgXaru+MMW9vMulSQpe9oLLOot3c38fuyaJq7lumIJXNk0x x3jjFHOMN3C9X4rYXnb5wOJ97OJjXVPcYcxfLZufwZuiHn7o0isF11uqPeJe ynysdwreB67twrZGa+D/Y859Cv56oOtVFvd8S2+3SrE3h7mumIIHtHXdLsV9 h2+Tf2rFSq3/isvRKepGfldy/6+QDW14LZyb2tTabdukuL/au74+xX0PllNT 4LnRdecUd/T7LpemqGdbXS5KURe5G+HKnKPq7EmKOn1QCm4NJ67q+pgU/ID8 /WKRw07eviFFbengumNSHXJ9XYq6d5Lr41PU3StT5JfYk+urUnwHcM7Yz9++ HXxsowU/2OZycYp6+K7LTxbtM31sgwW3ON3bqy34RmVvr7fgOM+5VEvBN9ir jyz2C9u1siemKoqLc/2JxdmulwIf2J51OS4FZ/jK281T1PUdLvxTmxp1vuvN FjzmPG+/YcFdOONfWpzzmt5+y4I31PL22xbchTP4osU5rOHtNy24zrne3mTB QS/39hUp+Mc5rl+34Em8r59ZvLNne/s1Cx7Gu/u58nqEtw9PwSuX6fxwlk5O kSPyw/6cqD0i3+8qz5eliJMYy3i7dIpvytNcv2rB805IkSPycyx3RgoOydk/ Q+d/mc4Y55bzdYrO2K9XZCmS "]], Polygon[CompressedData[" 1:eJwtlPVPl1EUxr/c46azO2aiQxwmiGKLMcQcYqCgohIKEqLY3R2bm5t/gX+F v9ib3TFFnV2zOz/PzvvDZ+c8975x76n4+ZXZFSEWixVALahtsdhjFpJgIByD zqzNwWbHxWL18P/ip8BgOAOzWFuFzWH/IXYl+gj2KPoytgl6NHYhfIZB6BLs Jvik/5jvbYBL0Bg9ErsAPkAauhi7Bh5BffN/J8IVaIrOCP7NXzACvRh7ADLw 72ETIBluQWvWsrGVcA2ao8dhF8E3GIouw+6Aq9AMnYkthR8wHK2g7YH2+O0g B38G/IR082/vgxPQwXyvinjcx45BV+t9dA22LnoQdhl8h2HocuwueA+p6KLg MV6K/ye6i975CkPMz74NbkIrdFbwM35RnszPvgVuQxv01OAx6oTfEXLx8+AG tERPCn6G69ACPSF4TIJ5jag2UuECNEQPC37GasUSVuAfhCcw0fzZ7tADvycU 4E/j/in4faEQPR2djN/HfE9r3fGTdN44f+cZZKH76VtRLqtgf/CcVpjnSLnZ rTua50S52Bvdrdx8T3dcYl4zqpX9UewqzZ/Niu6+CHYGj0EifjeYF/xMp7EN 0EOC98x4/LF6JngMVBt39Z/gNTIafRxbGOdro9B3sAXoqig3I8195ai/7mre W9PQmfgno9pZHjx3D4L7yuFZaGv+rP6hWquJaks19y/KuXKtHo7HP4/Nh9nQ FZ0AU+L8jmXmNalaVAxKzXtEvbE9urtyrlwrBnPxP2LXwVr4rX+zdih4DzbC zzffSw/e6/NgffCen2Pe8+r11TDffEZoNuiZGHo5HA4e41z8t9je0Ec5RT+N ak01koN+je0FA2Ay+nlUO/0VY/RLbE9Ig3NRTBQLzTzNrgLYGHyGFZv3lHpp c/DZU2TuawZplpSYx0YzZaF5j6o3twY/+6ngs1F30KzUTNMsOxLFSjNDs0Ix 0+xZYP6uZtAbmGl+F925C/47fSfKYaH5jNVs1ZnVm7PNY6kezcOvY95reucF TDGPhWLwCqabx0IxuxjlTLnSDFZuB5jPZuX4PwY1rX0= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHncz1UWx39876XIUiqSFlooaXsUlVbRJiRNtGCmmqZlqD+aNu2LYdqV 5emRYugJIzOZCKFJGY2tUvIUialmon2ypubzfp3P76U/Pq9zv/d3l3PPPedz zv21/M2gXgNrl0qlebVKpUKySSqV9hSe0McsYZ4wV2irvumS04QKtedIzhQ6 qD2/iO+/CTOEl4Ue6l8o+bpwktoLihg327K8Lr//w98LfvHN3DeFSzS3r/CR 2i95z/Ies63ja96DdStyqXSc0Ezf5wgnCK+qfy/1NRV20/dRKdbhPOenmPuG 2r0kLxXe8h5zvAd79/UZsA02Gq723lrvGrUfUbu52i2Ehvp+0Wuj7xjhOeFZ oZt+O09Y470W+YwXq/2O5NPCEuETYYRwufq3ST4v/E/4UlgrXOg1Fln/j2y7 ZcI6z+2p/tW242LhY+F2oXWKO5wiTBQmC5OEg1L0VQuVwjPWfYXb6Fblc4wV Rvv3Kus3xWu97/MyZ4v3GOc9sMtUj5vm7/7a90fvO9U2w4+WCuuFkUInjTnF d9RYNt5DqKfvwcLXKWy2GjuksNP7kkOElWpPkFycwm6rJGuE722HNsJf1T5V 650m7KPvvxfhH9xfV8l2HvOp5C3CJrU/l7xV2Gx/ZPwrkltZS+3xkr1T3BO+ VEtrF0LSd23JqySHqX+H5JXCUN8TPoE/bBdOV/vPkvdIfmL/+FHyJ9YQTtc6 ZwjN1f5O+JbfvMaF9i1kL+uwu8b+Tu2Hre/R1rmu+n+r9p+KsMfhPm8XycOE v6h9mMa0zeH7+0peK/loEb+38RjmtLVv1deYBsIu5okKxyB7Hut9p3s89t5N Y69W+yG16zBPqJPi9yPKd6K+gY67Y6w//Qer/1B8Qt+HSF4v+bj6z0oxjjFH qv9oYW99Hyh5neRj6j9A7ZZCY+tUYV44XH2/Nwe2sw6cD3mk1yS+LnCMcTef Okbw//86Bvayvg8KTdV+UnKI43up47SJ93lAaGS97uO+fI77i+CeHuafGY6P lxwXcNdr9h94E/5s4Pu51zq3tf71zVX3CLvaF+7Ghini/wXPZf/HrAN6PeFY neTYvdR+tdBxPNnxn+1HdxbBVXAO3FPLPj5YKOz7d+B7vvO7bAfsNNy+8aLX xr9a28faSx5vXwId7F/z3cYOZ0se5/t8W/hKGFVEX/tf3HN7r3Ou5Mme21Hy RLfJGx3Tzn06uh+7T7V+2BBbPlLszG3lnPGy7wo/Pco+M9Pzp3vcDPdhp41F 8DN3PM/r1QgbiuBc9K2w/vw+y/ugVwfryd3P9e+rhC+K4Gr8EL/D/36y/y2x n35gX8V/V9iHl9t22G2zx5V5vcb6fO4+eH6Tv5mPT5M/yA+/StGGwz8T3i0i X/xHeM+6rfd+I43l3netfWeox37muSu8F/uu9Fpjvfa/ve9gz8Wel6Xw19XW e5XHr7MNRhhLvT9rLPM62OZDn5v4/aPkU9anyuuM8VjOiW/j+8QAsYBf49+l FOdkD2IB3x/mfUZ4/mLrzXmJC+KS+IQT4AC4gPglpontb31H2At+oE76p+1S 6XskJsnN1T5HTbGzFqmy7tQe3NMo23C0f6u0btjkC9t6rOeP8T7E/UTv0S9F vULOH5Air1O7XATnpsjxG2x/9ifmOjmm7pD8JsV9/CC5SfhZ7Y3wYQq9v8L+ Ke7kUclu4uhWkhvgsRTrsseB5rGPJd8TviuCzxrYdjfC7TlqsaeFfjk45Snh ohz5bzj8Rl5JwWPUC8ToSH33yZED9hcOECaov6XPSJtYaW49O6f4jf7TJFuk qA06a43HU9zJHMk1Kez7puTkFD69o4g9mHuG5H4p6oGZ3LPvepbkohT5nTPD 4dw1NW5954Axkr/OwWvVthFjb9f3Gyn4cYf7WX+772+b5Xb383t/67Bvilpn nO9/i32gk/Z5IEV8cO+sO8Frsh5nH6v+K3PUc6w3wGu28F7j7Utb3b4NH0nB j6OJ5Rw1xPNes9qyv8+HD/aznbf4m7FbvS598MFltts7km+niKdtHs/cjtrn 3hQxcabkIfYr7Ip94fyTNWZSCm6CY6kvyF/UdK+niOUh/o3c9pzkPHMRY+mH k5+VnJuijh8nOT9Ffc8c8iI5mFxMjQMPwENNzem8N/Bt8jV15c8puIX6pXWO 3E1ttWsOLuK90iSH/tRxzXL4CbVhwxycs17tG1PkBOqpVjn2pf46IscZT5B8 IQVfUj+mHLw3SO1jcpyLOmu/HLqdIzk1BZdsk5yYgoPLZ4PjsPHBaacv0ybv T/E37WWSy4VvHOutPP4KybXCD0XY74YcNjxfcloK7sHGr9jO3MNs38Vbkv8C RdgYfbAbsXWz/YSY+4PjDl3h5TKvNHSscSfNfKfUlI18Xx+m8OONntfY98VY 5pBTyGm8P8ip76aIT2KTvMFZ4fmF6rspxTvoLmIkRQ65QfL4HOtgI+olbEZt yPuQmoKYu95xd12OtVinu8fQ5m3azXagr7tttdoxQ70H91Fbl2vgHrYJMUnt RX0C11BXwe035eBu+BDeHWTuXeP9eKd0xXdScBw5NNmHk7/xqy4aMywFTwzM vjNiU+2hKTiJPEY+I/fB6bz/qYuu0JhnUuScabYP9TD+daj9irzNXuRm3l5w LryEf51pH8OPrs3hS9Qn5Aby9jU58hA5CHv0tU3QpU+K90H7HLHxpP0WfoQb eaP1tj14T/T03C2Sm1PUDuRmzkYuJp919tw+Pi+/w7WsCU+TQ07JkUfIZ119 Xs7axeeFt07MwV2VXh+7EdPbU8T1Ap+HupLYfTVF/PLGJZ+N9+897RvE9Pcp 4po36zqf/cEUuYG8cF8KboVXF6R4n2PLUo73LW/bnOPNzP3vmePNz3u/Xo73 IW/DfXL8pwMXH5TjLUdcUdtSO1BrVad4P6MDvoWNuNP9c/xfQ9x2yPGfEbHY KMfblXfrEuHuFDXWVbyRc5ybGP66iNqS+LvTMUgtwN1wLx/gOylqBvIKnMQ6 5CDyD3mTeof/L6h5vkwRJ8TI1bzTc/jgWZJn56gDatk25JR2Od7kvMePzfG+ JZ9cIjkqxbuX+pE6khr0cvVXpngDXaz2iBTvWt4v2BXOx6bUrOX3GG1i4n58 IUXdTU44KUdeqG2dym852tSvbXK8yeHRAZJVKd5S5Tcneq2QXGl7UQf1yFEL UZ/V91j2r+PYr2ddyVkXkNNS5Aruqa71P4+clqLe6k3+SfH/RF2P41zdc9SU NeZG6k947/9Pf9VQ "]], Polygon[CompressedData[" 1:eJwtlWnQl2MUxv/Tcw5pEqVRKLyVJEU1Sl7tRUmWEiVZqkGWqWyVD2Gytu+2 ssUMHxhjJ3ywZAxatZfKEokkWtCoftdcz4ffe65zP89z/+/3vs+57qrhoweM qlGpVCZCwLP8GZ6VSidiZ2iIPgFqo2cUlcou4l9wEL0E/kZPCOsfYA/6n/Bk S8l/Im6DfehVsBS9Enajl8PP6F9gP3oNHEDfD8v0LUxCb4d/0ScRP4TxrGco 8TvGqtEPor/VXPABehxjQ4ibyLugH0GvRm+Hyehf4QC6EXEK7ID/yRsTP4aP YC35DpiKXqX/GX0K8Srme4J4FrSCK8jnEVtCCxhKPp/YAc6B68mfIVZDR7ia /CliO2gDt5LfAuuZ/zfoi57BeBM4FS4nn0NsDs3gbuiV3ouFvD+TeEn62w1w Pvqh8F5vgwe0N/AHegVcxvNL0+9uhOnh39RvVcF7MCJ99n3hHbiWvD2xD3yj fYc9fLsVdqOHwfeFa2Kc1sj7A4lfkY8n3qkzLlwDY9F38bw/8UvyTcRPYWfh Ofer/uDHwjX0Mozl/cHEJxlbUO6p9vI8uEfz638iLub50+UZaO+15sfLM9NZ tdYc5Rlo79vCvVqPaqJwDT6K/iJcK6qBxeUa9NvawzfRA/n+DOIF8Ab0Jz9N 5wJvwaD0b10I78IN6bVeBG/DkPRv94ZXNU+6FrvBa/ouXYs94HW4OH02PeEz +Dy895PgE/SLsAv9e+G9WwZ/Ft7D5eGeU69pbHZZU6olrXma1pWuddVgA/Tx ML1wz6s3epOfXPbIRO17ujfVcytUL7C3cE9vQK+DLfIGeYLOMlyLK2GznpX9 pP3dil4Srk3NUZO5j4Qp6CPK2lgfnks1EjxLiPA7+8KeI685BC+hN4b3Qms4 qHWH96oG8RBU0noyY4V0WkdZy3vDc6mmm+tsYRa6HuOno1uk9WzGjkLXSq91 KvnR8sq0rslYPXRdmEZei7yRejftpXXIj0PXTz/TnjdBN4Vjw79ZB31Mei7N UaVehZmF3zkT3TK9lvrkjXVW6bn1Tlt0O50p+VzyVqrN9LtzyNugz05rvXMf /Bf2cnlwe/VS+tuGjK+FNeGz0xmO5tko+Brdj/Hb0bele7EL+Rj0Helnmwv3 6vNhb1bPDkt7jrymuvSOheW78hDdRc+F5+pU9mp3xk4se7ZP2qPlzapReU1X 3Vlhz+mWvmN0t2jsMfVR2vvWQQ/0zrDWnLpbFoW9S3eM7pL3w16lO0Ve9Eq4 luVJA9KeIC+QR1+Z9gD1vu6EDuTnpvduHt+sLnu6Z9kD/dIeIu+Q549Me4B6 v3v4rro5rXVn3ZT2DHlF17CXvhC+C+Wp16U9R16jO+iatIfLu3XnDE57kLxH d5ju1hvTc+mOfZjYOX2X6s6cG77jdLfJ8w4DEVMRJQ== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHf4lmMU/lTveWSFVL8GCtkzo0GREO2yN7nsedkZDUK/0tDQTimRkZRQ +KGiSXtJ02xQGYmE+77u+7u+3x/3dc77vM84zzn3Oef73lrt7213T5lcLjdq j1yuLGTjyOVKslxuKvAp0AF4HDgM4xshZwBjobdPudwekIcCP2FsOlAD+mOQ TwBHQN8E+TlwJPTNkF8AJ0PfBjkXOA36r5BfAkdD3wI5EzgW+s+Qs4Djof8C ORs4EfpWyDlAQP8BchowDOgF9AbqYHw75DxgKNDT74jOQBegL9AVeMbvO/nd C8DTftfbc58C+nnus0B/y+eAIcDz3qNSaB8+D/D7bsCLlsXAQMvuQFFo7mDg DOjzIb8ChvvsPsAIS9r1J7AYGAeM8b7crwHW1gfehf6S5/J+o2w37R3pMT5X C505FnjNd6Cf3vJ6zn3Vdg3xeUPt49ctaeMblrTxTUuuf9ln0gejLWnreO9N u9625Ny/gKXe7w9goc//HVhgO3cAi2zvTmCJbfkbWObz+zhWjN8uYLnv9A2w CngHmOAzR/t5tH35D7DCNu4GVtrGf4Gvva4C/LYaciLwYybedQTWApOA94AD MGdf4DPoHwMfAFMyPTMnmBuN8L4h8H6mfGFuMcdKPJd5R15P9/7MLeYcucWc YB6Qn8wD5hC5yLxknpHDzDnmGbnLnJtpvzC3Ztk/54by/MNMHBzieDPPmFvk etUQRwdBrxzidw/vRV+To8xdcrbY53Gsl23t6b153gteQ7v7+jmfD+QG85U1 oJvP7ud5+XzjM/NpgJ/zecVn1pJ5fs8zh/o+tGOYn+vB9v1DMexvDoyyryc7 drR9uNfQPnI5n38j/C7Paa6vHsqlV7JCPrxuu8Z4Hn1KLo+1Ta/5mTaN83M+ r8b5ziN9dj/bODIr5NgbfveWn5n3tH1SVuB0nuOU5PCaTLzlnHWZ+Mo7bwDW Z+Loeo9NsZxq/btMPeBx2zHeZ+dzmM/k8lT7kHuR9x95fYmfv8+UA+R/Z8eG sWoZ4nknv2M+dPAc8rmL+TDHXOAzuZ3Pc/K5q59neix/nyleMzcr1GJyrNgg b7tbzrfOOLHmvOI4LcwKdXKRx3jebNvFfed5b8ZvsecyTksdV/pohf22J+6X cx3h83LHkXFbVSpmK71ukmPH2l4uFEuO7QW9TOieXL/MZ5YP9eR8jNc6Lhdh LPMaynV+T/uW2Hbmd2vn+N6hM8gR1jnWI9aimqHa19H+3mKfM4Y/OY6M2ybH inVro+NJHn2bKb6M28/2JWO7tVSstpXy6/ZScfvVcWN8fnOMGJ/fHSPyYrO5 wFj94XgxJjscF971T9+Xvv+7lP/+sg8Zq12OD2v/7lIx+cdxYaz+dbwmeB7n lIV//svUI/K+nmwu7LS/GRPGiHFc73mcQ15w/US/LxeF+Oc83sk+pT8rhn4D MT5rzC3O3Q9yH49XcN0jfzaYNzzzINdC7sm8ZM9ifzow1MPyY9SfhF4l1API jTbmSZHPqeizLgjtyz1bhXI7z6lK/q2z2jbRHvaaE0Lxb+X9O5oXx4VyjDFm jWV8WRsOdr9sB9nW9ZdjNWw/x6u7Z5Gzh7i+cO+a3p+cPSbEQd6lqu9F/taK AmcPjwKXa0eBX0eFuN/WPhhs/p4UBf6eEuIv++x5wCeZ8rC++z7zr7zzlBw/ NcRx2lLX9pDvp4fqE9c18NqmkGfah2eHfk9w/EzP4TjlWR4nGrpPTLX+oWUj 64xbvSjEpr651yx0Bvfg3HM8P4XizVg3Cd2T442t877NQ+84Th+c73HysanP +c97TTQ3L3SNqmT+kO/5fWl7iXXuw/s1s220q7nPYrxbOtaUraxXts69+wM3 JdWRInOU/OTYgND4YshF5tNCYIG5sg64K1TP7oc8IilmS4EHQzVptvnNHvEJ xi41Pxtgbjf7dBnwUKhWrYB8JFSfisxtcriE54RykWe3MedoUzvzf1poHucs Bx4O1byVkI+Gas8SyAdCtbMubHjGHGoIvbvj1CTJJtozCvKqpPhcDXkN0AJj V0JekdRPONY5NN4VuDapDjVNug/vMhryxqT61dr2k9uDyZ+kWnx+kt20mf4+ Mul+L5JvSfW9cZJ/6duB5FhSfa9mXzEHz066J+84CPK8pLp/KuTaUM2uDf1m +7YT5GlJ/w/a2p8c/xqyQ6gnrIJ8LNQrLoEcH6o/p2DdS6HecFzSfXgXcuc9 82cy5C2hGnY95vQM/Z6aRL6Handf5kGopx6TdDfei3z5wZy5IWke5xyVxF3u f3SSj+gf3ukO298bckLoNxfPv9M2MD63hWJ0HfTbQ3VoDuRHoVq+Hrg41Kf7 hc7mue9Anx3qBSdhbHioRz4LWS8pF3/kulA9fhvo5fv2gGyUVAOKybukfH0a mBGqB9/Qr6Heu5r3DvVbxq2jY7eG54d6LTk1JsSr46EPCfXXE6APDfXyE6EP C/X4k6GPCPXvOtBHhvo3OX5riOfHJvGGnOG3jVdDfbgL8H6oTvFOjCXvNR36 faF+uxfGyid9q5gPfBXqmVuAzaFvJPvg/b5JPa86ZI2kul8Vsijpu8Vu2hXq Mbtoe+jbyXch/pF7NTG3VlJvyDFHQ99ONgKbQj1vB3kU+gbDmHzvuPxGvoR6 2+FYe1jSt4dDIA9O+h6zHdgW+t5zEMYqJn2z+RyYGfpNsJM+DvXFucBToR5y GfCZefJFiDfUZ0H2Cf2+eC7EP3LvAMgDk3pnBcj9kr7x/AJsDfVj5s0Gc+nu UP1l7a2MuVWSem3rJA6RPx9DzjOfmaPtkvKUHLkwiScXJdVH1kbypVkSZ8iR Nkk8aZmU/8z9DHq5pO9SCXLPpN8obZP4Sq4yJ1ol5UXzpDrCGlIGetmk3xyX QV6e1OcuTuI0+UyetkjiKrl5SRI//wdy1tMX "]], Polygon[CompressedData[" 1:eJwtlVeQEEUURQfYeb1LElwEEYUFBMlJkqiICAvuYkIlmEWrzGCOaJlR8UPL H38NmFOZY6lIBgli1rIMgJJBctRz6/bHqXdfd89Mh9tvOk6ZNn5qw6IoZkAF vBhF8RpUQAP4EmZDM7i7LIpZxMXQCmrhVXgG/qOvEfHcVBST4VR0Q3gFTiQ/ hVgPl8MyaAMzeeYCjaO/O3EDeXP0xejN6D7El2EYbScR6+AlGEJ+PHEMfAQv 5LlWweH0XUrcyvMDwu9qSVvf/M4K9IXojegexGryS4hbyPsR/4WdcDTMpa0N /YfBEnR/2j6E56CASpgM26AzrGXM83lPGuUxh/JsC1hceg76Vuvkd+mbk9Cv o8vwnmnu7Wg7Nq9BfTPg99Jj9sAumEfehXge7A7rdbQ9QjyO54eH96wSHbCQ vp7k58MBOAbW0/Y2cSKsQQfxIRjM+GHhPd6bn9HYrloXfQ1gQekzewxOIB8Z PmPtbUr+lvZ4PXES/IPuQDwI+2F+6TnsyGvQ3LXnW/Keai87yVdhj8gb3Yjv w3swi3wbfIL+GBpDE5gKC7Tv8i79bxDfhFXou+BI5nYEfF16j+X1B+G30p4/ ir4p8gH5QOISmJC935R4VfZcVT6TZoxvAovQvWm7CJom6020TSN+Bc1hNvmz xPu0R+E7c2X2VGWewxfEz2F66TuntU3gfWPzGq+FP+AvjYWr0SugLTxNvk57 rW+i2+ezmUkcFT6j4eSPE0fnto7kHWAp4wdpndCf/AD5z3A/+SDyoeE7L288 rPeGPSKvPUocEfbcGvhb+5jXcD3xs/DeaQ+egLnQMp/RTfJi8lkuL+3FteG5 y5M6q/bJZ6Ez09nUJM9VZ3QD8Sl9E10TXktnGBxe083EbuTb0SvkseQapNoz RB5PrlH1eQ1Dk2tOXV7jFfI/bePyec0J1yDVnhYwMbnmqdbpjJbDjeF360zu gQH0H+TZX+B28l7ku9HfwR3kvcn3oL+HW8i7k+9AfwO3kvcg34leCR+Ea3Bt 9tBt0JP+XfR9K4+T9yXfh/4R7iTvQ74X/QNMJ+9Hvh/9U+na1ja5VqrGyTsb wndVHlLtapVcG1XDdJc3yTfhO/1u2OPyts7g3rDHtVfasyfhnXBtqYaNsDV8 t+cwZnNuk9Y7V8Oq8F2Vh/6E68Je1x2ej54Xvo/yUFfm1iXZ++3Ir4GVYa0a MUr/nuS91B5+mudUnT25EBZlrXfK6w/ks5Xnt4f/CfoXqMbX0j86+Sy05yPR Jyd7S2c2Qv+qZC/Lc0vlW2gd/uepVhyS/G9TzeiEvgy9rLRnVasbQ69wzVat LJJrn2qmav++cC3WP0C1uEz+l6kmvxWugap9q0t/W3ekJs/hTMaekewNeWAs ekyyd+TJOv27k70pT56OPi3ZO/LUOHR9slflqXPQZyfXCnl8PPqsZG+phgzU vyzZ+79CVXKNVG3UGv8HA8IOzA== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0M1WAWEAx+EhqiF9KCU7ixZuIrWqRavuQBdQFxL2EYW6khAXka3DqtqL Z04Wz/n9Z97NzFu8e7i9jwVBcMMZ0U4SkqFEnWMHXf3m3C4zsk+0pz9c2JeM 7by+6S+ndoF3e8qcGR0mfJJz/qqH+qJHOtSstnVfW3qgA93T5+gbtam72tcv GnzwxLX3V9TstO6wTYqQavS/ukmcBBs8Bv+XEWNhLvljy3NlfVcrGmsf7g== "]], Line[CompressedData[" 1:eJwt0Ucy33Ecx+F/zqETPRIhOhvETBALR8gBOIMT6OUEeu8tCVkiEqIzowRj RlvoZeFZWLzmeX8/89v9Ir5Vlle8CQQCVbrQieYV4tjGYLYzlH8YxS5Gsptv +Zex7GUM+xjHZb7jIBM5xCSu8AOH+Z4jTOYqP3GCqZxkGjeYwSmmc5qZ3GIu Z5jDWT4rz/7FIx2rQYe61KnOlO2bLP20N1Vq17NF3/XV+wf/60BrKnNb55Me Na4Utzo2a1Qfvce4rz0Vef9jAgcYz34uqcSu5YPudaceRbvXsEm3ulGEW7iq 7UYV21+0aHdqV7/12a1Q13aHwuwFFjBfV3arguw57mhb56///wVqK0yG "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{336, 335, 339, 814, 805, 806, 804, 808, 807, 702, 810, 811, 809, 813, 812, 703, 816, 817, 815, 819, 818, 704, 776, 859, 751, 803, 716, 801, 715, 802, 701, 338, 337, 336}], Line[CompressedData[" 1:eJwl09lSznEcx/H/U8lQCO0ppS7AgYREIkJ7IoZQtoo2W8y4AVfgCpw7cAEq 6wxFISEku4ylsmR7NR285v39/A7/8zwZdS2VzaEgCDq5FBYE9cYjXR8eBAUk MWCv00lt1zYSeWjn6y9t1RYSeGCv1Z/arMeI5769Rn/oUW0ijn47T79rozYQ S5+9Wif0iB5mIffsXB3XQ3qQBdy1V+mYHtB65tNrr9RvWqf7iaHHXqFfdZ/u ZR537Bz9orW6h7nctpfpZ92t1/UK2e7lJJPCDW+dbHAP6iJNJY0u+6T+1scU up/oRv2jx3UWsxmyN+lTvUk3RfYzXazp/HOf0b8apdG8cHfoc73FVU7ZAcPu zbqVLZxgDte8n9aXOlPDOEuIEka8F+srLdVwynltl+kbrdAIqnhrV+o73aYz 2M57u1o/6A6NZCcf7Rod1V36SZcSRzwJJJJEMilT35VU0qa+B+lksIRMsogl gjG/6xH66eYyF7nAec7RGpr+D/wH8nddbA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0cVRg1EYhtEb/oTgBHdCcHfpgxIYLEjCGndogAqAQpAlBaA10AB2Zlic ee68y+9mFvLzuVgIIctuFMIOn1zHQ7hjmzdueOaVF+5554MnbnnkgUW++eGL kAjhV5co8I6IkSDOsj2pRRRSQjEr9jItp5RKKli1V2k1KWqpIWuv1wbqaKKR NXuLttJMO22s2zs0Q5ouOtmw92gv3fTTx6Z9UIcYYIRhcvYxHWeUSSbI26d1 hinmmGXLfuXGl1xwzhmnnHDMEYccsM9e9P8/f75YJ7Q= "]], Line[CompressedData[" 1:eJwl02lTjWEAx+Hb0AfpW9j3PWvW7MqSrbQzdlnLljUky4sQkpCEmGZEGtnz TpbIvi/hjesZL675/e/znDlz5txzYhNT41PahRAayewQwpH2IZRQShkVVFJN DbXUUU+c9zdog94iJSaEVBaQxkKuRZ9Jpp2j9VSzyPmSXuUwGc7ZepMqcpwv ag2HSHfO0hvMs+czg4POiVqsSXpBp+sBnapFOk0rdYru10m6TyfreZ2oezVB C3WCntPxukfH6m4dp2d1jO7SUbpTR2uFxusOHaHbdaSe0SG6VQfrFo3T0/qI Zp5wmSuUMcjzzfqOOfZcyu2huk3fM8weToHdRzfoR7LsD9pbe5FhL6aVV/T0 Wg/SozvgJS2soUt0b/qC5zxjFcfI9uyoXmcJD1jJbZ5Gvz33uE8jd7kT3Q2/ aOM7P/kR3RFf+MonlvKZZXyjhD8s5zcr+MtxOvkuq7Wj5mpnLdVuula76jrt rie0jvU08ZiHbGKg5wN4a+fT3z6lyTqbN3Ye/eyTOktn8treSN+Y//+Zf316 fj8= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VQVWEch+EP9YKN3YXdvbdbDMAOENSFAbaCtXfGDmxduFaxVrZjjord CXZ318O4eOb9zf/cOZs7Jy41IyE9KoSQR1YkhEzySYwO4SGTeMBk8lhMckwI S3QH20niEY/J5ylPGMQhDnOQoxxhMGc5wBSOkcEeVpDi/St1Kuc4Ty5jqe/Z NL3ARSYwjgbuDblkX2Yi49nLPlaT5vkqbaTT9Qod7I6ssRvrDL1KJ7sz2XYT nanX6GJ3Za3dVGfpdbrZ3VlnN9PZeoMedk/W2811jt6kl92bDXYLzdRb9LH7 stFuqVl6m3i7H5vsVjpX79DfHsBmu7XO07sMtBPYYrfR+XqPRDuJrXZbXaD3 aWe3Z2HBe/3/OWwjm0XkkuZZXb+pR23iqEOqe02tRTVqUJ0x7lW0KhWpTCVS 3MtrBcpQjrIku5fWWEpQipKMdi+mxYmmKDGMci+iEaIoTCFGuv8l2L/0D78Z wQ9+8pXvfGM4n/nCBz7xkWG84z2vecsbhvKSVzzjBc8Zwi52s5z9nOE0OZzg JMdZxinS2cnSgu8n8v8b/AfbZ3jY "]], Line[{1506, 1464, 1468, 1469, 1470, 1471, 1605, 1676, 1854, 1675, 1852, 1674, 1853, 1706, 1851, 1673, 1849, 1672, 1850, 1705, 1848, 1670, 1846, 1669, 1847, 1704, 1732, 1667, 1845, 1666, 1739, 1701, 1719, 1665, 1698, 1664, 1884, 1883, 1639, 1882, 1697, 1707, 1700, 1889, 1699, 1720, 1640, 1885, 1668, 1708, 1703, 1890, 1702, 1721, 1641, 1886, 1671, 1709, 1880, 1881, 1877, 1879, 1878, 1722, 1723, 1547, 1506}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdV3k4FN7f1SLRtxKJbEWLoqIiS+WUpUXZVRJJidKCyJII0WYpCiFlbaOy byEia9ZhFjNjZsg+xlhClnrn/d1/7nOe5/Pc597PPeeec+UuOptdXszHx+e4 iI/v/+fJW3/D1vOxcfAB/1brp1PQFNxkOqPNhoaisfe22d/4O2csxY1kQyvb WLj8wG/cUzbbrtvHhoCzTlv1k0k0ed0MH9QYASHfpGS6ewJqoXQN1cARrHAU u/fOYgLkfqmU/voR1N+Iw8DPcVz4d2JqXoQDpVTG1IYT4wjwlZ+7bsXB+uW2 e6ubxlD3Z+N6lSQOLikp5NqdGcMJ8tVT2v0c8HeVnXnwi4str0RXkiVGkRZj emJ5FBc6MwV8qwxGoSOz+fzjo1zULX40SLszih8MjzrS9CjsVss4HE4fBX/q +/Jt9qPw+/duVp06CmllmedtBA7k9ZbxxfWM4v0Veff6Yg6mdu65NzM8isvJ gyJU3j68Q0TczCdHUf5+/+6ljzkIEgojfpwfxfzZkQh9Fw5iXGV2+S+MIiyu 9mbjDQ72ht27e+rvKGhDIo9PXeMgRyi7QvHfKPb1ljDpVziIUv9nF8XDAcx+ qWRHDvj+N7hw+N/g9WGlvLkaD3cvd/ugeJkDe3eZNCceFjneMse5xEFkavWR Dh5W3KjwzdOOgzmd9h4s4uLQ7OdvfLYcpKXp3/3IwwtBlguPrXk46vktAj8X rV5OPhO6vPqnsy9nBbmYWCUX667EAZPBYG9YxYXxAVnplaIcNOYkX9MV4SI3 L7C+ZHYEN3dwn2xS4oItLvkp4uoIPv03MlKqy0Wwf0aPH5UNe60zKsLWXCy2 eJZsacLGLRlPmrg7F2/+fd8/VTOMFwbfnNpCuBCWrOfs1hnGIfNAV8EvXNRP 9Rov3B1Cj6JDZkArF2NhnwIWlQ5C+lB9+O4JLswHLgrSFg1i9duN4qvXjsHB i9WhemIAm3J9plerjiFi5XuZ0pf9cDpoErjdfAyCGTZ+u4b6oEenTaTfHUNn YFeA7d9eLHjmNmqnjkHP4aGS4PpeWL2Zvv69bgxCB1IlszR/YZYwvHzdyBgO 6cmrjdn2YI1reIP4qnGsSNqWcjukG/Qkj7HUHeMoa/dYO/eVhQN642Oxx8YR 7dCuYzjGRPlcmm/ptXFU3Nf24XxhwJKVcr/n0TieXN5Iz3pKR4yIpW7ym3EU v73sWBBARVauvHfkl3E4lKx4K/eAghmjiRnTwnG4Ghrmn04gwe1YbfGDonHU /OzXmKjpwDWXsye7s8exLYkgVLKsHffqCkK3pI7jjO6j8HCrNiwU+y7xeTiO QTOR/ZPuLfAp+/j+23ne+nP8SxbZNcIq+orSCsVxfDhZebNRuh6bLAx1sgfH oPJV9DxdtgZ81lSDY6/HcO20v84Hxyq8rwp0eHVsDCc5ofLXpyrAXiw+kTXI RYxjqKVm5DfIRhsszQvkYnlR6usVRV9R5Cu/h72Wi7V8L+MnLAvx1+/LkJku j/+liWo7r+TBNvZKjKcFB0ly1ufkaNlIkLf7u0ZvBH16JYpCLplYJLh0NE6Z De9z69YtrcuAdFbeNtr6YehHRSl/PPMB3gaHrmjwD0Gdkh6zw+0tNG2VjqRP DCChM1Ewjj8Vz0iz25v7+vGiTPznzFwScnS82voYfTg78veV/JFE5IXu8htg 9KLooELAsk8JqC3oP/24/xdeZQQ3PteNBzE0QufYdA+2jL2PUTkYizQT71TP 1T3ocx3Tuf4kBodcFbr0VbqxekzT5KVsNEQSZEOrzrKQYdIQbjL6AtFG159z QpgoUjh5UWzyOcoFnNeVSzNQsnIJR3EsEgf3vn6Wc5COLxrUscmdkTgwXLql y5uKyMOG5y4kRWB7S1GhTgsFiZtWMZ7rRWBDRU9LI8jwFaNV3BGJwHrJjIe2 NUQsLf7v03WBCOyfLOxuu9wB39t1JcMbI7CkUkBriWQ75je3fnGziQAmQ4Ss n7dB4uqWd1bUCCz+uObAA6VWjDc8ckx/Fglq/7uC7+XN+BMxbml37zmCT3ec aLVtRN0lYu6K9Bf4fHBo7KpKA5YWJfyrlIiGnMIH9blddch4oPFjb3MMwu2k 7VQsa1AsMPjzLTEWDf1JKtz3P3DnYsAbBc1XqFw2XrEsphKVWqKb49YkwitF 2aX6ewXU6sPT572Ske//RVh9azlsmsz9115Nw4np4w3LvUoh2Btk93X+PcRi PEoYf4tB+LHUPd/8E6xXEgeCyIVo+6Owz/d4FgIOK+X7LuRDxWmHtdmtXPw3 NaO5zTEPDz3iULK/EOmnzZ4nrc7F3/5/zJayElhPu6V8GsvGzwYjo9dCFQjg MoMTl2fjoYDY0u9KVXgs3GF/9GYWbjuyBxola6BOFEjzGc+E+yvCRUn7ehjM MzaZPs+EMjeF+lawCd2XK2IWGWfCtq7xtSl/K3wqe1QHN/HqKQ8mru0mIGJh QjNIOBP1OVlvpIM7kOXfbXlDNBM9RWIlF2ZJKFq+othaKROW42fkzR934mR8 0+M1hpnI69kiaZBKg3rKIZfVPpnQbeSGGlR14WD2T4323Ezk6A79a3JlIr3l 0M3BP5mojmcO6fmxID5+U/kXry+r7mp9+BHUjcs64nP2qVmwbXDUqQnsgbH3 qKO4YDZG4uaEVnn8wh/Z3uYsz2ysy5K2KLXuxVWBLezJ0Wz4yzrL2an1wUKq 5nK6aw52ztzhcv/2QUJMzubDfA6YXAWTn4X9+Lbr2VDDs1xcV0oJzL44gH0a hvEzO/OgOGWdlD8/gBrveLZ0ex6EPfPKdj8chIFPIcv+Wz6ufbn87uW2Ibxc Np58r7gA7qmigcpZQxg+fjHQ+0chrgydusG/aRjWixzCXZhFqCxtJxj4DyNQ lPg5csVX5CqPs5UbhlFo9IMudbQENooCGxr52VCZEPG2eF6Ku2IcmugeNlQ3 2qQ/5ZahnmmjVW3Kxj4lKye2RTneZDTssL7KhntblJKtdgVqA9dU3HBjo0Mw dtOC6nckhq1eMuDKRuzcfo6CZiXE0rzu2DqwobPk8YzuiSqUdWlvlTJjY7fl bFb+tR8wFjr4eMM+NtSmHN7+iquGe/P9fxqibDDs3DyUKTXIlCji4x8axr2Q VQNOJ+qwTGc6ISVvGEO+eb5CrfVwNKnuCb8zjNFwwwEXp5/IHKESRTWHsUfe ZA9bvInHg/XfL4wNgcvcsyeT0gx3QcknISlDMFH7snWA1IJFQYvp0cZDsMgp OyDd2ApP96NeHr8HsUEvwdBiug2rhAdXvQgaREcmJIp3tWOdXdPIX6FBnFMv HP5wqwNzQfkldx4NoNl/7eN934mwd+4xqpnvx59+y5vS0mSIUs6veevYjw6n 1Qq5fhQE/T5WwKjtw7yQA7unvxNcuraTwUYeXnlSeM0pGpJsdMtbbvTi+fFn v9dU0vFQ6NZ776xfkHgQlSW3i4GQ/evcXId7kFG79+42ZSaoViz/Vft7cFLJ unppJRMKRtfUNXn8feFo4jJkwoJlrLynSw0Lgqmdir+JLJQtifhjzc+CfMvF fTLm3XCx6TtN1GZCeIPlpUOV3fhe6G3fNNiFige/RJW39GB8t07hG1M6PhZL F5d69GBnsu7ulYVU6A/JTHfm9aC/TErv6sZOOMQ3/vnA7AH1F0X2fDgZyc1t s29+92C57XZRIj8Jd4Ko/LE83F8fKipb14GurSG1J3p7kMjiCsu8bIfBqHBs RlUPRgsjzq+8TcCrCu7qpS96IF+w2O+fXRvarMtbxsx7wO+7/1fthVZIahzM cOLvwSOdmc7ft1pwgqQ2l/WhG+8r7Vf4722G2ryLl5FON+Y/Sy8Wy2iEtB/9 zlwLC97xXS01Jj8hcFSuPeYMCzZp/15IyTfAVr6gXZTMhJuhfr/wxnq8GvDg 2lowMaqlKqZrUAdRL+0nxa8YSJyJzhVIrIVw6L26pKddiNm1LDhsYy1iM7Wy c4PoqL3lvWOmvga2Obu7Ov1oOPxITtrzdQ0MfWvWvPanooqeknY6rgb0BtLi 7aGdkFmszBQqq4EetXGzQQoFL38x7FUFa/FqeOsZ7xoyWqsqN7/xqUWhU/B1 xh8SLhnW5ewXq0PQbNTH8/tJ2DBs6CRKrMOQ0f3n8aFEJAgyK9TL6vFbW96b n9OBA4PG5z81NkC8XSCoy7YDgfkEc/OljTyd7xq1bGxHAl1icDK1CV9bvDpJ pu2gT15wUDrYAsuutEq5EQJufhObEzvcCrWE+JWk1wRc9JWavG3dhumYU953 HAg4VHLjcEsoAa29ByY9dQnwKzY2/NXUDoE1nIXtagReDuw6ly5LhGS/Sj9d i4DVRmLPrniSMLDNVIpkTkC1lqFBPYEMZw37WNN7BCiXzO2W2tWJ16/zQnK+ EKCTafSl7jAVfpkGyaeHCbjfvO3jJkMafPQSm+t3t6PSwPLGHkM6LgvfOvQ6 sB31i83Wq6MLV/r/KNvQ2xG8XMKmZCMDjxuWRkcc7sBy0s20lFEGYlcoffz+ uQObFdqK1p1iwvnbybyTekRwFj2c5v/KhH2Y9m2TPiIaCo+vb17FQt7e1Jmy 5yRUHAr/PGnMQvjFpxbCO8hYK+Ni3OfJwoPNZe/a68lYyd0UPx3JwuiVK5om zhR4OweLXk1iIU0qO65YohPdUZpno1NYsDbwUDxY3YlE9wPy3FgW/D4c/Djm QUXUkQ1rp4NY4MRpTjG306Ck2xCsfpmFm/s/VMlvpiMnqyr4zDYeb8MEv2fI dOFj5XNTZwoT5DC1VlVRBvoWEgyV7zBhcpX6NIqPid2jVxss/mPC742aAZPn exr27PhTmxjYKPUwyJvKhKFaXP56iS4oVO9UNdnPQrqd9uqOWRriRDZrCMez 4PQvICU0kYozGj8ZM/28cxd/+LFbqxMHnDx2HdjQjb3HbA69aiJDMqzs/gPt bsgMx+lS7EmoVXhqoKrXDf/Duv3/lhDhoHXk0X3lbpi573P/nd0OzczHekV8 3cgVP8u/zYsABd3Gkj1FLLxu2WZmcLYN5CqroyU3WDg7o/1s34NWBOsUWawS Y6EhVWTHgYYWxI85nDLKYqJwv4rAxPYWEDT4LtH1mLgY7EScPtKMghBjNc9U Xn58Olcq49qEf74b4sgFXahcJRgkTWjEnKPs2eJaOlR++qfuu9EI5+53OalU GhZf9Xhrhkb4K1DnvkxScWrB5db6440QdU9a4yZOxVjSBU/BJ41Qu+xDmjvS iWFr1cd3FzWBpbi2ujmYgqvLlkskfm6CquK443gHGWoXCXYXnjXjSB77y6gG GTFCrkg1a8HlzOZ6+RQSil97G0QItCJEvsIqcisJ1b0M3TtkHtbKVK+pJKKt dpcy43sbss1f6vffIeKldt8D70oCLuTdkao+QURm1Y1bSsR2/A2plp1QI2KU ubqAb6oDf7e4yvzQIGIN4bysvgwJkhLGYZfMichnhYpk6ZMxdEMjuTGIiCN8 KokfrlAgxP/hGqOByOt7uW/YvU6c3iu75ZQCCcHqKRrLgqiw/kdj/YwiIXAR k2ruQkPUF3ZJtRgZ4W6W0U9Ah+1PwZKUNDJS9kZnl4zQkfQwPyFFl4K7g1nN q7y6sD6mksQaoeAh6Uh1Aa0L4iY9kmbJnbjpcQNcSQZ2da2tKDlPhRBXx5a0 hwFzZ/k3XzfSUJ14ernZFgZuqLRUFfTSwDD54jE40YVb0y/rBz7SYfjN/n1G YhfkmrRsTt/oQmfwn4R1u7qwMze3kradgd3zx1RmX9Nx/+SMrBqdgVCRH8pu UzSQMm8JLdJhIuDixHeqOg1L/xMpcgnj6STfKqjKgYog9Y0y1p1MzBUk3Kw+ 14mjiwwJ8uIs3GEeKXumQ8EnvtQE/8MspOwJlh+QIyN/vpnwmecnyouiB9/x kWBsZLYQasnTkzq3Kbq3A0XSeZsqdVlY4x1Zt5fUDquXyxZI61kgherM36MS UBLxckyNxkSrV5RsIy93RKpfqA1MYKL7qOC96xZtaHnaQRzi+dGFYz774n+0 Qn6WNquylIk9OSa7fp1shauzxIoAKwaOtxQY3RpuQbOqu8Xu1C6MuD2slkhu wdGfzRWug3T0/hkOs3FtQelh9xrZXXRoHbNfGXS2BYM1xWMdt2mItZDSjrZq QZWLSgWzkoq7nnbZTrz/cO85IwEFKSqmD4Z/evu2Bcveh40r+HUiVOEl5Su3 BZ5hxK8zHApKY61YLNNW1O1Je3GU9/5NZ7p+/K+uFU/WHg6346OgpNPGn8k7 zwlGo4pmLBmnbhoLzAsQYGoj67nvOBm3p3+vpzYTEHtozaJaYTJOCFFKG9+3 44Wff9jsKAn7XoVXe4V3oOOFAje4jwSHW4WSfT5EdHvJq5InSNhoNHo/7RoJ d5eer5MVJ2NKbknN/Bkyft90LTM0JuMoW1Fo034Kzl7ykd4ST0YhMyAgYHUn j4+2Iap/yHj0sM1svLkTH/OtXOiOFLSljy+b9qTim8KlWvNeCsqXxPmyltCw RbF31WvnTixs/VfD5unhT/rLFy+WUhEjcfmXfikNOllOpcwkKsj1h/2XDdCQ fn5r1rweDeNUMf0tYzRcMLwrozpMA/vE3U+2FBqe1eoeSXKjY0Nr+YLdZxrK q3w/hM/SoRuyQe2sMw2DXZFn9f26oL8nmRwpQ8NZyWuflix0wdXtjcLTYipk AulBi28zcK43V3/2KBUPwpOHfX7xdGQ7t+5tTSf+7jN+StnMhLJdxpug/Z0o +LRuws+UCSfviajkNAoqLd/mlPgwsWJnpHHQBBkil67bOb1iYuUKUbdOLTI6 jPya8rKZOFKQbUH2I2H4p3vp4jJe/rTUXpLFy72Wu98enizl+Yn71OQjQSLO nsvd6s6r91+dLOJ4ugPpHfrBBfFMHFUc4GzJaEcd6w2RJyZAolHJYWU7Nnxq kicbMXE4qVjk/l0C7kqGHw2X5PH/xcd9T+baMGdlHWBaysBJlL7aF9oGlmGU x15NBmxXbHUdVW7Dp3KHJaz0LhSJP2yr629FjEBExwuer93w3koMzW0FQ06k /VEgHTuvnHqbH92KbEFzSxqbhvV5pSEB4a14dMmpxs+Kd49N61r741txfHnu ng1NVEwOhOSnlbVCc9ZFVM6AivmN+kKaU624Vjq1uSqrEw0rZb4l8vzqgLOU Qu7OThw5S9JQobYhbErUO6qdAvHJoPLzpwm4s8WrSjSEgp7Pj1oXmAS8eDRa TjGlYISzpKzWqx2EEHf5YkUKLj0cOVAr2oGgI02H2dIUOD2LfiBp34EnLet7 JkUoaOhZqdyZ14H/A5asb1E= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdV2k4FO7XRloQSguKEkWISpQUd8lW1kqLZI2KIqLIUimVtbKrUFIklTVb Cz/Kkp0xhhmzGFuWsYQZRO+8//PlXPfzfHie65z7nHOfLY7XTjjz8fDw+PHy 8Py/H7u2LjaRNA0DrQSl809mUGTQO3xufhrHK/P+reGfwVRg1Tv3XTNgvuxU J+2dhrpifbuJ7QzIknsvC0RMISRKMvxj+AyclFdccB78g84KamJY8Qz+5V8a NTb+g4Dyb4HdvTPQcvp3W7VgEoIzxU4vV7Hx1WhmOlJ2EjaRP2RrD7DRuO7b c07cBL5M9T4MP83GK4PPNJVDE3i/M1lZ2JONmfiakc0j4zBa+nudSTgbCWWm OiXPxhFxVOOgwVs2Qm5HFfQZjWO/x5OHs9/Z0M/K6d/6ZwxWImmjRXVs8Gx6 +K3/DRcb0houkNhYn2v93vrMGLoIS+h/e9lI8w1KuiM4Blbmsu57E2woymnl m31n4QR5bY3yDBtHKanL+F6zMFc+Mtcyx8alw8b36h+wsO12tueNf2zsUFg9 /dGFhUYDodJSLv5aUSsneJkFnv8ZBxf/Zyxs2CJ/WJ+LXxVVNFc4sRBa0nsn jIszsufMNl9goV5a3FJ5KQcx/XFaEoYsWGTHONYKcKDbKViioMzC0laXDCcR DiL9eF6YirKwyXixPUKaA7WM0FMN+aPYYy4o7qPIwXHNx2m8V0eRz5b1N9Xg YCJx/+bqraOw17MtFj3MwWaC2K8N1BHY5PEGfzPhQMlue9lswggCsvgSui5w YDv71NlMeARGFVnGr/043HiL52QHD8PJXU1JLIoDmZEVCQKLQyhUH8hSyOBg UHm36dFbQ5izy9Sif+XA4avVfpuZ3xDceLY+p5+DlN7PN6o5g9BLfc2cEZlF aJPczzTeQTASv3onacwiS7NuInLVAPJ0PB+FnZsFOVPffee2fiSb7NLKDJzF 7YSLsjrow0uhd9W0lFl4R1675W/bC10/HptNNbNQ7fywv3Y/E6Wf/C8+Gp2F 549q12TpHpRM62t0isxhY3xIQYEAA8VzinrNynNY+sG9sX6ehpU7/9Qq6M0h 17T/jt5UN6pWiPg8PzOHvt9mtpS/ZNxYMHdiOs+h4aOPUM26LhxhER3+eszB cMhSZodzB9ZHHy++cW0OOqYHpa91EbBdZ8ww2X4O93ccDHX3acUdvfWtA0fm cPmii46STjMerp46+E9iDooGa4oEHOox4WSj0UybxaTvwgHeVzVI3Gi5Oi5x Fj1eGxP+af0EQWj3B/KRWRhkxBySU6uAplX9+eAeDgLtQmROLC/Dgr+zVskN Dj69Mh9rOFMKqn6Ho5I4B3EFvWf1VhbhVbqZ/WgeGw8fz8mFyhbA5Y+YIeEo Gz5v1q/ni8lFRPQVlTzKDHju6rzTyfqEO9PJXyyvziDAcNV26x/vMXs5WfDO 7DSiz0t5azpkoCmOSO0LnsbC7eP3Xa+/wZ2MtYdURKfh3JceHfY7FZ60snjX O1N4fyjgyZ34FAhey3pXPPYH8y4zvmv2PoeDkLUNwf4PXM9el74cGY9740U7 z7ZNQpz/buzdwBgcdemWLjecRI28U4DxyFME6fW2uH2fgOr9g5biIZHo5duR +WHfBD4cDFrt1xeKtAcJTp/zx5H37LzVkraHSInvd81VG8c6+VgPLc1gPIpI VPF3GcMNShD4eO/h5GmzO7tWsrD3/Azb5edtPF5qdXf4ywha3/kcpzz1w5vV drbZvsMI679QdUrJBw33BuWtdYdwKtC4Is/ZG5Ulx4wLJH5jUepLuMaW69i2 s8TVfX4AFzUSKCxdD6Sfviy2e6gf9RmrtdPc3CAb6jL3orcPYnHj2WFdrjiW rLP12FAv8lcN/lUuuIzDk8HbCHNMxAZ+O3p84CKeWmvPv5rqgeoJ9fauXc6o L+OLezHPgBXPoxv+vy7ARs7soaIoAz9t16zRSHdEusj45gJVOvR4n5VuLXFA Br375ol8KtK8XM/WzNlDqZLPh72pG4TUvdo3nOxBo2VlG74ko7Uk6HwPww58 D+TanXI78QrKSxqW22E34Rq1v68De9K11zyJskWLs8uUjxYRL19L/zTztgVl 1O/5wAcCBqult7Le2SIhoAGKB9qwaF4pY6hsh+KOkvgTzBYEFlqXps/aYa+m Z9OztGYENtw5rRVmj1HJm63dfI04dPaD30yiAwxftC3H6jpcObX2QtqiI/Yl HB7Qda3BKzHya6ufTlgWKHQ+eVkV3uQqsHnnL6IpUMComFaJoChRn6+5LnBY c/PF67H/wJ+/viqQxw01dIdmnt3lsLgQwDMZ5AEzk/VNc5pfIbMxIC6nzwtu Tuxq9+RibOL3tPqh74tglkywfOBnFOT02dUOBWLi8YLtqZo8tPuNVlY8u4cH 0/rGxzxzQIy/6vbc9BG8/KtWnSZ9QPqZui3F9pHw6vwh62GTCUJUWQQnKRqp e5ZMOpum4/1ozYXC9gT0W2fpWOSm4ewJrRujySl4Nk5bJj2VisJNDgx64mvc zr8fS3B7BQVbLSGjF+moDgmyM36XgtVq/IaVwe+hIab3JiMvCcqrTj5ZL5mN EgHT30dnnqPgu6dInWYeYMnWkb/2DAnC/xq7LD/DlpEVGimZiA77lA0GY8UQ VN8hKDcZj4wWASa/+Df4607mt07H4ZxCmbTXaDman9rfqdkSh/venU8d31Si Qam74bJXLGz05PN0C6vwuCzh79HBGFCtMvWuKfzCvEPG+JXoGPgPRD4z29SA JJ6kCYJ5DHZI5p312N6Mpf5bjkVtjoHCFopXC7UFZb7z6l94YpDGf3ysOacN d8+1+PpNRmP1QGrTrqR2uMwe284/FQ230gNeI8kd+CVVev85fwwMdEbvHc7r xOcKl6EIuRhICByV+EkgQ2JlT9s+ixjsvExvDOahIuJRTxV/WAwWneoFJCXo UPb1NHRtjoEUf4ed0k4GeFL3Fw3LxsKiQjusXLcH1pdebJMMikWz7k1rAwsm fnpYgsSOhaVAcGmNVy8WzMvWIyAOyfW+YIb2IbKl+glhPA7ltQNDQnb9mL61 8wjNLR7SVjY6yxQHUMF375bmn3jwGZ3gVxgYwMArB/vyuwlwC6wVXfJsEA+u DpXbrE9EmuTRK646v/GVM5S7kJ+IrHlhSceO39A9eNskxuoZyq4n5Us5DeGd 9bCD+PLnuLw2NnGydwj7opeZ64q/wEqDpwNHngyDFHdb5o9mEgLyC2x1ZUcQ Epgib3E1GXz8h6T4X43A+1GnSVxuCoy2WBwrEhwF7fKUSSj/K4gs8kg8cOLi M3xucSWv8InVZR+YPQqFffKair6puGMsWhE6OgoHsYjtjw69xoFui7sXZVjI a7jyZFYsDVttuutfHmWhiWla6yP2BjXBIb8m3Vngfc532ELmLSbe3moVDWch aWENr4R2Oi4NX27wfcmCUIhG4TWXDNzm5FLdP7KgvyByekn6O1yqG5mc+8yC UtQtUuifTJQevDsyXcJC1/BGnp8nsiCpb79uVSkLmVeOqAb9+IC80qqijkIW fkRIbLN6+Qm1F0IzN2Sz8OEUT4esSQ5Km/n8v6Vx3zPV6vA9mwvBooMie+NY YC2xm318Iw9loePGXfdZGDq83cXiTT7kW/ta+6+x8NCXQ8nrK8C+41UHgq1Y aL/tb1SoVYg1lsZqdYdYMEwvS+h+U4TKsgn/79tYaMv4YtiytQTDT/VcL61g QeKO5e5PX0phMdm7r2xwFOLVnv8SXb8ir+iuYnHVKOrkiyW/qX1Hb6bKB53X o8guTU5/K1gOw+5PO7X8R7ExQ3DtV4H/oPLuv/rI46OY8Yh/sceoAgFWclGz Utx82Gw+Ef+iEsLWCsYWvSM4oRdMJ/P/BK9g8FuLjBHwh4+JTAVX4YHBg/p8 5xHUqPRO/SdVg+d3Bokqm0fwqUtUY31DLf5EJmx3bxvGgaN5tzJr6vCxn/eZ 0q1hFO07UcpkNmD8bcj51+LDiC83N3kr2ozE3YW7z34aQpbIfrdH2i0YGquX qzs4BMuHNfL+/q0gzfZv8K34jbW6mcJbarn9/yRxhMzld4HpwNuabe0wXkhZ dzN3EBpaxI92T4nARMvheslBXBH8dttuOQllh39Q3X0G8J9cZGlxSCdqQouH Fmv7ISPr/f3bajLiJTz1NFb3g3WyNnvlSwrMaltLh036UIWwz7UD3cj8GCb5 N7UXhm4JtwgqNAzlFhSfHGNi+9SKdfN76UgaMxLbo8HEy+TPyvqtdGxVlbnB 692D7cLSjepGDBgeNJ5qIjLw9/seieZiBqCZJjupwUDa2ninMdke3D/5x5sa RccniQZ5mwc96DC7NGJApEHlHz2wi9qD29Hz61uDqTBovKe9TZWJxQ+Oij27 uiFTvdn/nycTIYkeJqoUMpjFO9M0M5no3N2nmRLShZCnYVNFrUys5y98oafZ iSWnNq4NGWVitb+E4+nRDqyqVtZgcpjYMirZuuk9EVdlNTdgiollPtczxz3a Ye44/u8MjQmbbJ7+tXoEiO6LdPGqZEI4Scxnv0MbLA32271LZoImFhFvFdKK F45qdbruTMSQVSvOlbbg2A+/a9ncuDyaSZRYzmnG53mHY35cvTEWp7tRULcZ smPjbcZZPXDc627TvbsJx+Q7ddKO9+CZoll2bGcDjC0Lc7TGGVAc8+dpfV2P 0PI8IdMQBpyfu5osRtaBeEBVTHYjA8sF4vLVXvzCJTUXq6Xv6XA+Elhs8KsW hDqpMW1ufqxOL/DQN9RCkBC+QeQeDSVi9a73ImoQPrZTf20CFc/7RG1fbqqB vPDvFwUfuzH6YPpBWnM1yu99fNFTTUEkm2TB97oalcS0mY0FZLSvqhKejq5G UJlljGJWFyQfu9eI5FVDUVdbxia7E2duRxs0LVYj+eOa6zEVJGQ9Ojg17sut E/tCafR3IErfYdFOphb3bG3eeW/sQPOPck/F6Vr4GtzcxnYkgvLedcGR/Qsi PwK89L61w/PfuY0rFepxf5n301dK7RDfJZT4+34DemyNv2zOIuCdrhn9vHAT 9Gx49bJ1CCgucgyTcmhG9rzkSum+Niwbvm9qYtGCT2csG6RT2qBozmNOPtEK uuOE4QmXNqQc+YTBi20grDt129igDVrrfhUJhBEgzzkg91i9DS9PWvCblrSD WtBsHbenDSpHz9jrTHD/Obh2gqDbBnm2rvK8Cgnr9oQv/cLlxYLYUJTplU7I G5Ntcp+04X121FjTmy50vp3R31TfBg9jOal1RDKemt6ScF5PwJqPexRa5yjg /1pypd+NAKPyu3VLRalInRQb+NdCwPnzjw9tEKVBiCRfKaTbjpyDO3oX2TTU NTdw7Ljx8dqhopx0gQ7O6lY50yNEDOrlu3p9o4O5uFtGuo2Ij3p/yYwVDPjt N3NdfbUDNVm2hHB9Bs5mipo4CJMgQvPoPOXFwMqMbz37CklgfMxLtY5mwEmu L5MW3Yll6yUC2t8wsC/is8JK3y6oVQaaB6QyMJx75faQBhmF5MftSU8YaP2P hKYZMtSV3dUGPRgwX5Exfr2EgqC5dXfFDRi49JSW5x3QjZcjV76PcHX1S2nn 61Y6VPw4suC+q4mOvmXbG8MXqLgxuV4yJ5iOi+Ux5PPFNKzls2Fq76bjws/P i/e4fN7R8+u9QxYNy6aFRe8W0lFmnCF5OpCKzEfpwduUGFhTY/03Tb0bB8vu Hdn0mIHH+0WefO4gg3d9ZIUSjYEUqkqMuVsX6A9D5Mw39OCdqjoh/C8JdY9X mwlo9+BKCtvnvwiuPjq6Py5MvweuVU2TZ7cRMSPi9HtUrQfUHSavIxsIsDdS u/RWlHs/MOLx80cb4r8vE+MlM+BQ/f6dWWMr2m1uHdwdz61f1jbO6tEWHOLt 1aLpMvA0dvqmn1wLNHvPeG9g0iErElrg7tWM/CCXUp1bdEi5yGRnfG1CwunR buJyOlZpW35V+9WI/d4rh/7K0lAvdPVH/KpGbMkUKQzfTYUiqYDP4mkDtMpE ZDQOdcMtmmbjcrQBJqECea4nKVCM1fr16kAD/AIU+qWukbHr8JsVQRcb4Ov+ lv0pvgsr9XNG3GobUHq7+9BUfSfaz+iveH2hEUciJ3vV13aCqrd1Xlq9CfWB K6/ucyeB5LXo9VOqGZXLz+mbUjqwe3zteYGSZiS4W963t+vA10KPf4luLWA/ Fkjm5RDxTU1d64dmK+6OjDl5pxPRr6bCd0aiDSeWTNvGOhGxeGrd9zFFAhRu apdBh4jjzAgpMdN2lJ5KU6WqEaGatD2825+IOlGjvOeHiRil5ixLz+5Aj75d kpsLETnzv6+qM0joYGb3yWUSsWHiw/eNAl1QMDHa5fSPCJrPvIukDBk8hV7p ua4dcDoTaOm9mYLRAK3hq787YOVZUGXG2w33xkOWbbdIeNXBr9FT3o1Tk/E5 fyU74dxk6/HqHBUB+lljHdWdGL/l+FyrngrrWEVRhaAu5GgrKEWvpWEss7/e 7wgZLScGkp7voUHr3J481ZUUFJ3t4d2jRMPAsc8KF0kUJOUWli/MUtFY9O2c 0NtuOE4fsTrwlopnZAah2Z3rzRXY71WpGDebL9qrRkMrQ2Xc81k3LuXsi4sd pqFh/luXwG8KfjaJO8Ya00G/dW5wzxYKspxJ0/GJdFhX2saM6ZMhwDn/cL6L DkG2t8t16y6sEo4/XSjMgEhd16CrTyf8S+hK99W5dW5g/P11JAnGyw3izpgx cO75Fvna1A40XcXdK+e4c/qe38aIIiL2EibaDc4ycExwQP1RazvYcgIx9YYM DIKWtWuGgJGrxwYPKzLw1mhkadU2Ah5p++laLNBhfmpaWcupDd+DU8N4f9Lh /bCyRr6gFZd8M6MKg+hQu6rtVSHeipCuyyckNOg4d1b2AeVpC5ZUP/kkWEFD VErJG6pMCy7e9eOZE6Eh+ojijraaZhwgbl+z7hQVSzTG+9xDm3G9M1ziQmI3 l5/Ku6QucPejANXEUgoFc0spj5aebobyuTsGGdsoOPRd5ou0YzPKbzzPOHOT DOdLrje2PmqGR/709uiWLpRv/3wl/UczpnY2fsnZ34U/xs1Cs5ItiP+A16k5 nbATfLlD7WELPuRVrBjZ1wmRAclGqRWtOJyqKlXUTELQ0nLfHSmtaPsar/T9 Old/pUzGSp9vQ2i35EjQDhJXZ+8nJagQMOv4J1t/sQMDGyYfhoi0c/fHSBnW QAcyBqndu+faEf7gQZ8wl5/ah+LjjwwTMb7ms8E4D7c/NxV68XPrbr/4UHmq KgkZ7Ky9YVUkDMi/T5zxIOHKLvFPc286UddnH/aEex5DkSE3enbh9PuQKopK JyhjbeWrtpMRHZV8Y/PbToTUjYVGVpJBCohe5arUBWOmZR/7EFcHvls68vJL F9reCWvNJlMQr+Pq4n2ajJKTvwfVOinIlLU87cohw8hYuURtkstr9ShxQgoF Riqce7ZcfgbKXLdoN+iG3BR1L7mMAl3a3SOnhajw8HmxVeoSBVHMkLKYGiqq ziW6bh0gQ+PZSNiWWzQ0a9ysLNcjY4g34mCVEB3dLyfPXH/AnTtNPx0NzOl4 8cxC7ShXZzj0CJ98zZ0T53KZKeU1JDjX7N30I5OOZScb3Z6ROpAmOvp+LXcO pvm6WGX3EbF0pGj0chkdC5uWVqtpEZG9hvxgaTEdcccERbbHtOP/AL2W4a4= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFV3c81e/7lkShjChEA5GMpCQfdEXIqISiQZnRIknSIiOUUkiUneJYiaSS yCh7HZzpOMfeexb1O9+/fs8/z+t63c91v9/PuO/rvrc5uFs4c3JwcESu4OD4 3xxQuGFp/7cpWJeqydqEz+FXhq3a67Ep+O/WN5f/Ngu1419nExSmcbulUOxK 8wxG9D1kuh2nYa14Q+LM7DQyji0shxCm0b1L68/pP1N41XE5cHB0GnmX7gok Ck3BtLdOa0h1BnF6f+mT6pNINOQJdLs+g2JWktmdCxN4ecCXKfZjBpzy3vWN g2Ow75faKbR2Fl986aduS4/CjRY0LWw1C85/zzdKeA6DY++EROvrWfzQ19J9 Qh7Egz8277gYs3hKNuwwPj6A70VHdFt2zOHk6Zgu98d9kNI3rz18dQ6SDskV wbQe5HlklRRkzOHOjpsffQ50o1/4RKA9cw51+6yO1+exYEnv0AteO4+s3qJX kRpMMCyvBPsqz0NXf7s+x0QHHvA+Vi4zmMfvoFmxk6E0RCyGt/w8OY9Fj2v5 nloU7Fi/6wWv7TyiZFQerOQhoWf622eRs/NQn+/onRxpxfJtBeG7Zmx/ch/o Z8da0BebLTiqOQ/rof+8b/A3Y6vxdn5ViXm8L7Q81vysAffW1FjvmpiDaL3C hgDDWngv/Li+VDSHXTJtoU+1qqBItokn3ptDSUY7Z8O1Suy9mywntW8OpxXD ZQ70lcFT8eHi5d5ZLO5U+q//VSlW13828gmbhcrF8NYC8WJcObSQIqU0C8uE 1Oyw61/Qnbx9i1HlDHTtFRmKmp9wW1g/cubUDHhuP+cxdc5HnLwBfdvANIqp CqtHRnNBdnm2udpzGhz85/xDI7MRHpsR3740BT0uQYpmJwG8N739ZQOnUD+9 XKuW/Q75vZHh3rxTsFoVdbtn5A02cxq1h3lOYrep1duj/Ml4znV5Uq9jAv0n BR8VWsSj/dsWl5tCE9D6ul73skAMaNv6d0dEjeH0ubuUlYuRWB2qZjglNIp1 ti9KT1c9A89WG+H8uGFEKOu3XH0ahrGF1T4k9SE8ZWonGcaG4PdhzhWDHQO4 QvLrC/EMwi7O5XCxF/1wHNwYXjLmjz2Clt6hfH2ozCw9JePhh3LD5UdesT34 tGVyVbfQPZh/fDAgwn43kxoS6xulb8OJ47vfjQUWHINPSHgzvfFWQ7YjJ5iJ mEP/vdchemHvAx8fGxcGrjyjMo6cuwENC0rO4gwNfvfrf+fbecIuqarq/SEK rDlYb81yrqOhP8/wQms7DB/yWsa7X8frd4lRg9KtmPGbN03Lug7JneUM5fJm PBrxaKV5e8K5cq1drnUj8nbnNOo138C6oXUa4oRaXHKMFLhWfhO753svFV6u wu6vl0dKHHzQ0DT/+GxEJc5aT86n199FSkKle9GZcvQE/WeSb+oHLsK2ucN2 P+AcNPAzI9kfDV7dU66aJYjcmarc4RuEqIq8Nd9FvuHdRq0IgZWhsC8yNvU1 +oL4Epd3tceewM2w90Je7ScIj66h2h5+jg/rM3LtbxXAjhXdLioSib/WfK82 an8Ed56A35L4CwQ/2bTgJZqP+z3OXEJ2L6HvLzmivjIPhje3W8iOxcLDifOm HNcH+KiJbhupi4PVwip+xY25SPr4JIpvZRIMngYE/WzNQbiWtIiuSzLSvxy8 8+dpNvQVrGIHR1IwdXstVdQmC7J3Vuxa8TIVV6kfffS0MnHJ/7lgses7fFDQ uvxFMQOSxFGfMOd0cP7X9m8tbwZqzWVjNTPSwXv+rWT6AAFa325p5IynwyOE cS74FwF5tIMXR9QJeEWud8p8R8CFg6X6c3cJ+BgaOef8hoC2vTdlJAMJ6LEw 09iWREBdXqCQ/mMCYuwH5DriCBAk3RRwiyDAcutFE63XBJzZfztiZTTbX+z/ xv/P5bPpvIsv2f7CK4ZU4gkwEd+bdoq9zlG2qaSC7fcAt6aGWCQBYk21HpNp BOhNrvMih7N53W17tr4n4LpuvF1sGAE5e324zT+x7fx7Wg5fIaDyYY1h5l8C FLi1PmkeIUB/ttum/XAGwrbJ5LgpEbBGNPly6/MMOK9PONvHT4DUOcSl0TMQ yTd8z3VDOrr71qcMns2GrslxC13VNDhY+mmk8eUi6wofvfj0OxTdVc7sDf0A NRNu8t6ItxC4bnbMWDEfNXeUdbkpqeC8Epj2cOoj7Loef3ilnIqFnxwVrl2f YAvrRofwN8iK+dpZs/wZXh77r/WIv4Gk+Fs6qeEr9tn4/dXNSsFGo6JpsZJv qFc+XqJlmIK9zxfvcTV9x8M1jf5R/ck4eLWXGfCgFIaccr5Cz5JxYKFsuTTr B5SvhrytUUvGNv1bN35sLYfw8Nf8KEYSesN2KRJyKhAuXHFLKjIJG7QTeY2t f0JNh0dzw/EkFNw4kWi6qQrS1e9u7hFNgv6Ht01Kf6pxzc0++HRFIubCln/s nq9FbL/iBdlNiRjINel4adYEVYuL3H8kEiHSt+WD9fEmhLeXZTWz8XdP5qON 5k1Ya77/dDobT+mEXSKxMWdCNZ8vG3/cIXP8pUUTfsXerDjJxhxib7WsLZvw 0pZHbyUbS/rd30w60QQXxVXkXPFEkB9xiltbNUGmz+3hOTbebq2qSLJugtJI U5TShkTMD+fP0i804dan8B1c6xMR0pn9e9irCTX7zuj0CiQiYyBiH1dQE8S3 dDQ08iei3Kn07faoJkgn5cX8G0/ADZd/hEvKzbgvrVPV3J4AAwvBDvWaZvjE T67b9yMBe97nrLhxqQVmr455S75PQPDupR/r1hFxqYTL2SspAdUe5xJHPhKx tFfYdfeTBLjGm4rXrW2DCsFFUD6YzZcKczhxvR1tUyF8PWz73iSVP4dYJBC+ tPDIv06A2t+rV37+IWN2MXanLtt/auDaijwJKiJm6wp4ahLwz1qs9JgODXt5 n2SbDycgN2BDdJsDHelFYaR54USoiP/s9XnUgcT0JE3pw4mIX6vq70ph4Kno wABHQCLebx/TdBBhopzb4bXjz0R4tAT0ZBQx0XBiyfXp6iSI3nx1etqeBS63 zgG/3UkQiZQSSOXuwmho+LFZ2yQYpdeM7SR0odZh51evuCTMDJw34fPuRoeJ b3oYMwnj+1k9J9CDCv4SotjOZAwuyxgKr+jFifJov6VbybDnzVa5VtQLB2aD k1R9MqqLxUdLrvahuv3PYye5FEg4eh+5tbEfxECL089jUuB/IrOygdSPvQal c7+F3sDEavOrL48GYGabJbF86w3s7xzI/yM4iGbnSvVXPW9wLjRdzfvpIGjr mJTaE6n4xKpfZ7pyCDJycl1PqlMRK3d3D8F9CGcFIs8w9N5CoeSVFJE4BOlT +i7FpW/BfcEpf4PqMJYnvykpH3oHeWKUcW3gMLxXj6aWrEpD4xm+gWeTw4gM aZiraE6DkopxaunxEcQLf022SkvH1Izi2wdvRsBvmMOKekjAwN8PmfNDIxja nm74zj0Dei+OrtbeMYpbK0pOFDpk4l6uZf4pm1H8JBUr/T6fBUWTTkWDkFEU KwsRXfuyIT5n8OlL0Sh4D51y5gx8j+qE69MTrFGIt2mdb4zLxT7XF/Q1y6OA tX63SOAHEGKfeNatG8MBwnoh81t5KJCi9+SJjWEp/ecq/tv5SM5z1p3eNIYn /cuS7aEfEfUr53yo+BjCWrs8DqcXIH3Xi2YIj0F/k63Dv7ZPeKnzeKqQewwm 7xWEUtd/RsmdkKFr86Mo0ab2suy/IOb4gYj6nlFM5lyocVlbhE0CNzVUakax 45qXmT/xG37/6DS5njmKzzq0P74F3/F06wptKnt/TWJRJmfPlEK22740zGEU ykxv+4MXf+C77GOJuP2jGBq5nSIVUobcuEpVXr5R5HFcJSYVlkPqi11hLWUE m8T8lb0WKrDTtS25JnUEW5cahHRNf8J0467VA5dHUL7XyfpN7i8s8m1KWVYZ wU7BJznvbauhWlfYUdgzjPoYFe49srV4MWMrXxw1jGnHb0caueoxM5nJXXxg GDriP2hL/xrgxyUubt81BM5ccvq/R02YTrA/ccx3CClO1eZX3jRDxOuSpZzo EK4ybaWkqlugUjNRGfJmEK1mufY9O1qhr3ZTeXzjIM7fVe5+H9MG2YEjwsEP 2HWZxK4vMhtJuB//na+2sx8mywRNyxQytJQODh9S64cof6hLmgYVATcH45/d 6kPT0VGZCiINKdKP117L60WO/7l7V6934H6ok3V9Zw/+nnU3cl/XieKXyXEN HD2YWWcsU3mcCfWUQL8+0W5sMbB0OTTOxMTnHEPZY10w6ZF/vO0hCy8D55qy fFk4nC25OCTchdd1w/tcMpnoO8VH/RvRBWqb+YffqZ14K7+5LHFlN658NlMv G+nAzTXq2rwO3egmbfgvfjcdPLG30yMyuyF6x6cu0psKw7v3/qvp6IZjwddp pXIyYnX1nhHmurHckGNtJk6C1JLD5cD5buS3STfMktrg+7SnPL+/G8O1W6v9 U1rx5ZZgn/yvbihSD7Yb3iHizg/1MwrR3Tj1yd3CxakFwYW3eWxOdmP7fcW1 deeb8ea+7ZHiVd2obnu5S9C9CTz0+cW49C6cKXimNyHXiO0GPjeeowv6biVd 1Nf1KHPRnXapYyFIwXg354E6jGWcPShszsK6uzMS/WtrUeVyPy6ykQkLmzWD /nw1yDCJtB8zZiKw+HfIhX3VKC5+cFs+sBPCW3/L0Z9U4ZLnUleWJwPL1mUt PEJV2DAlK1Pm3AGuthVRXCW/YDVfFXTelo55S7cdS9G/MP1g7IKELQ2ODXXX 9sf8wtEdagGyLlSYP4zco1L2C58sRK6Z3aMg1mu10QORKoiot3KuTyaDmPPV mzO8Cs2Mh49eEEl4cCD7TtruaoxMHZj6KErCRr5i33tL1fDyqhQVdG3HbuWM V9HjNSg92PxToLYN420tX6Z46xD/1F95/EAb/Ou2pDkdq8edse7D6/JaYaxp kZ0z24BADaOAcq1WVEnx5Gm7NuGQwbnZBhoRhbsVona6NSPVvTGu/jkRurwS K+oeteCcSrWSri2RHa+d+2KKiHCULjWL1iFCMHvpseFyKyRdBBIV1IjoS5aR bTJtB0yDHpv+R8Rqh/isBykkWJSaOh46ScQvM/17UktkfPPMjTb3JyJNP02D 35IKLk3mDDGfCD/jUB0LJxqMhDSXnCbY68kqhzmu0hGW1h8brdEK0/U1/Hsu dWDx4CDnYkgrRP/WTuA0Aws7RwIlelphkSP0vVKjE/xNqWrBRm1QmhLyoa9g x8mbbS5VBW1YWlbNLLBlwi/1t4GUeTuUBsvXX6tkwlS0+GjcYjve/f6YWCXO wmivnJrnExJsRHXKrI6zEJagYVO8g4z8kvU0Gx8WUkmWrSU1ZNx9Nr7hTxQL 2pETj/KvU8C0NlO++YaFwL+62eVbqNDrvMiv+pbNl53+y9dMxaewIIPkVyyo Xh4xeRlEQ2WXqp1lIAuPfMccN9rToeXpOMU6w8I3C1d3pk4HIoQ20T2kWYhy 1hWniTPglcjMkKYzEfHtXGPFFAMCaoIUyVAmQsp0ylV/dkK/ITrs2U4mZsVc HlcaMdFy9BvjckAn7AoPWwsQmJjROScfn8gAq0s9MHAtC5VVfc5LjzuwX/P4 N0MXFoa0V3f5u9IxU8DjavaRhT1+Cn4GmjR0C/16ljvFPpdk8rYQTiqsfZsu Zm7twnKev3VhFRkyRJWj1dpdSGNoJ515RsK+ioc3Zg264Lg6te+vbTuk1Yj/ orS6IHbxt4bEvjZM1VlcfCXVBYWhzuUhyVYsCi65Px9hYXZ4yymrDUQ88wzg TSawsOlUyXD19hZM3N0i4m/FAivljPv2Y82oe3B16dIsEz4sScX3z5vwY0TC cyqECVeD4GiFnkbM2Ty4MLKeCblTD8+NMxuQdelOwSO1TpwdmG9fuakBN7YN /S7RYIDvVnnPv4h69M+YrZnQ7oCv9ujKWaN6qO1OsxY7TMcai1N1sdr1iD0Z 8jHxDA2e26qVL16tRyrha+fhO1S4rbD5mkuth4b6BJ9iFgUZWmdDwwIasFtL 6nDZOBkqNonyzRcaUfCM8+fkYTL6Hh2gX9dtgn/BZw+xTyRcix74WzXUBMHP 9mlbtUj4cLawqiu7Gd1BoVkfatvxVsGe8SS9Bbd+8g813G5HNGx8yMVEvDyl mmJg1A49mYGq8IFWjF/u/Rewpx2vV8dEWUu3Y9vdWwEZWu14v2MHuc6RhPOZ X6Niz7ej41SyWV0qGQEj9+L/xLfjguotexKdgvd3DedNZ9uhIyX859FKGnZ7 EpeobN5KSs92MSE6nCUKHjb2k+C7a39M9l86lI5IbZbzJaN6o8DJyp8d2Mxz 51COPAUXhExjzJwZiAwy2M/dSQE9puJ0EYmBiHIl+osUKhpu1Bt0SXbCfqba ONSdhk3mtdasvZ1wY3dwdXp0qL/OY/Rv7UQFr/HnVeIdSBPZ4ryqm4HPd64E xY51wN7F4v7SPQb2Hrx8lFDCgL26drXUbAdG7FrENod0YlXwDJ/SkQ5EX7UO oG1jomyS19MomP2/MT/HBbyZMBnPKe3JYH9X0pYn5AcTjK6AsM9FVHit/LdG 8x8TK5d9/D99p2DL1obBBTUWmGnFTx/HkOEvvb9jiwULesHF8g1uJMQkWMYp nGVB1OPJ0W72PagGXb3seJQF7r/cqXPKbag6P6HOp8DC66Ik+WLZVlCttW/Z sPW5Kvh7p+YeIqbv14c8TGHiT7Nl95NzLXg9dj7/sQETkY4mbrSMZryQMWgU /9wJ1fvOFGxqhuZ1O8H1rQyYdVg1dH1ogok7a4dmfwdK+XeoiVxrQr0so9N3 kY7zvQK67uz+ye6k84KGMB2/Bru5F52aQHY5urJegwb1nQlH1V43wXBrnXuy OxXERgdPsQV2/p+8dpyLvW+62rkAkdvNOL1zZt1/chR8EmCV0Da3IFIoUf15 BhkvXOWsjbpbIDmbYH7vCBlGJ3pL9pQTYa3CG5TPT0baa8cR2y+tGHDL+mUw TMKszc49V0ra0Odw8Mu1PhK+heZF66S1Y2tqxA+ueRLSl3t7TNj5glnnLaIh ScYdC7l8Yy8ylA5QAnhPklGRJyU2fJyCg/Le45ZJZDQKfZAX2UzF9sxJw2K2 jtR3WW8UIbP1o4ig/8uVgiyPgzUtt2n450ORrOmiwOnEn+xpTjoGDmvazbpS washPz7E1pOCY1IuZotUeHzdtHrVVzoqjoSlfnxOQ1TLlJdDHx3cQYInSbvo uDYT6zE0RQfX+odrDjaz8QqrBQ0mHW4vj8ebeXZAeERKI/A9HfY3v/hxbWBA JPiF1JIdHZJcTJJ/PgMy4qOrHs/T4CrFHZtj1In7x+zKx7xoGKfGlDm3dGK6 wHODTicVDqSGpGo5JtaPt71q3UeFsWnUqjdnmRC+OpR3zI8CIfH7E84PmXA+ 123uUUIG79WVlv1vmXD74PVuywIJJ3zHDml+YcLqsO9vIxUSCnMLTn4pYcIz /n5im3M7DjrINUmy7fGz3qciUtowHcFv78Pmb1nuM97Ezh/eRgUcxkFMPDgk NfRLs5Xdj2YouZ5mYsFa7HXsKyIecXFt55Rl51fV+TgzASJ+M67taKvthO48 h9jxly2ITn3PG6PbCe62EP8je1sQZZfWOZrFQKP058Fn/c2oUsy3jxNiIMeq bHx1XjMqfWhRruzzi1BQczKMaoZtgYH3bBsdRy3Ny4KfNiMj9ePndG02VtET Kk5qhvgze+todtwyjqjzPWL36+kOygqe0jQsLRC5DfhaUMP5PPvJOyrkVELL p+xbMFPst2JoLxXIfyHxtZldv9gou6i0UrB4d5VfM7sOCSulfHsRRAFPrsVq yjARJoV07SljCk44N3rMPmuFyNry0E/bKFBaer65RbcNfu/fMf7yU0Bu/+iU +bsNu9p5f8byUXDrMfO0Q2E77sN9QUCKAot7jZOxniSYcrkpZB6kwEE2mUHb SYbArPX7O14URGbOnSkjk5HrHcdj+5WC5HQFZRkfCr71zgYWbKTi6cvwsRMb qPj7413vqiAqHr6227UcS4WTkN7KxX9UWIiqnvrAQcOl/ySOLLLrB5H5CitB I7Yu1T/13SNCh9VYSlGVGw3BWUpFvIl0THwn0qTY743OzTpRptiBozzBVwrP 0fB/JcWcKQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdV3dcjf/7rpCWURnhk4qGUTRp6apIKiRCSpNEFCVZRQOpjCglkZDQJrTL LCqjznjOeJ5zjqQiQpEk+b2/v/PPed2v9znPuO/rvoZWwO61gTJSUlLnpKWk /ve93SbHx+8FgwcTlAQWUxk8Wf9lkupMEY5XaFV86aYxY3b96uhwEfZ81+IU lNGYnnOudMYoMZ5tWvD0hQON0cp2ga6nxDBZ2aO0+bkQgW933fk+RgIL7ZiD 10yFKCzVL2VDAufQ4tvDFwQ4aNZ/7mm4BOO2BZzt6+Hj38t2PLkiQbP7jbez LPjgSD2SfKmXIH9zcYRtDA8Dnv0ux3kS6G1VuC7/jML076aHvndK8DBZR99m LIWDlfO9Xn0i1++arXBhJRftl2pDPr+XYMKcmFF30zmwELfs922TQMZIojO5 mw0FfsXryIcSZB6WKpm2lI2s8YaNj1Mk8Eqxcm6/w8LlavN5igESLImxNtsw kwWF56yqtfMl6NyhM3XG9TYoyE+PSq4XYxQHmk+02vC8LrVoSE0MsYe+5d/q VoTFcyMHg0QIWXbIxSS8FSbn5WdSrxh8VkuSrHRuhXGqy5ZuYwZRdjdjvRe3 4kcOq0H+Eo3Fppeu7bdoBb03Yem7MTQuPhh+eXBNK0qGR8pbDwhxru/b4QlR rWjPtn3Y/0MA7kqftyXkfvVMmZFKlAB1jrPuZY5vg+GoGEfVAT58N8tsi01p w4FO0eGxJ/jIOLXNplifhQ+/C9c3WfNRPNNGPr6aBaetapW7RvHxlF903XQj G0syRo9ZIuBhylTlAo+/bLR9etHr9piHB5off5gVcJDRmPXzbAUPkyTO1157 c1Ej/WJlcT0Px84Ep39VppBk46ZvxeXhufMsQwcyL3fb1aFf5PlwcMku6snl wbGiOMdtFR9THa9u+xPAx430k/uKrvNRnwfFtvEClJi3fl4hJwCreqGOfK4A lX8s9E3J+2lk5apJawih2Buj7DQsABPbWDAcJcS9vFlB+ieEiLe5vcqgRgif Y87urlNpaBRHlN0VCqHp98L8/QUacu2jhtMZIUK7fT0+T2bgyOP9M34pxPez RXopFxh8FcZ6eV4VwtN3l9p7FRFkTLqWLfYX4swh3YovySJoNyjoYqIQ7S6h G8pGRHD/+r10TrEAw+axayx3iKEz70V8u7UABS0dsukvxYj9FLsyqY6PyjUa WT6qBG+X49fo6vDBHuSHeFhI0OMgVZsXy8OM7GDjyvUSpKmbH9pPUfBVyVZ8 GCRBmYHXG5V5FLY5nb7zNFQCvt9EvW9RXCSH1BRcDZbgSVCRRjiLAylTbbuN XhJUOM3OYRty8OB8jqaznQTY3CqYcZGN029zc65NkaBJtV/F/RcLv2+JvKc/ EkMv97eV3k4WTi0d1pwBMWT9m5JuDrShSbG991uxCAuY1VGml9vgb12E4kki aPifuHPWuw1/H6tpnNxH+OKXQt9rqzYcM9IqS+fS2Lzddl3o4jY073naddWa xl17x03ua9rwxjq2UKteCLHP0+bWqDbYHVLs/+EsxC8jrnprbRtaFiZnzWkX IP11NsdUhYWxYx83hp4Q4J5dcevxAyxMX9SXrW4hgKeJ/42vvSyc/heSZvyH Dw0nw8c2e9mg3zet2fiKj4OlG7TbZTiYpOAV01XCx5yEGw++X+LgqH1M3wDB V/q7o1GW5lwcV/0va2MeH6VHlvDXUFwURBwxuFrJx/foF063Iyg8kgvQ1Kf5 kGJXby9R4kG20Udp3jgBzAWNi3uzeBimZTwvuAgwJWCih7YGH3+jh/xs0gWo /bPm89ZUPjy95P409wgQeU72lwHZw6qouiFbXyFcB6x0TNcJcGsyb0UYwaGS fvOT0HMCqLjUHDDYQkPXxcU5vkQAq7U1Tzq7aDBuLKGkSADp5pdDhiEM+rTN lH6cESBQzUKm4CuD8sUzlFa5CzB1l+K19p0iDCxSGLdISgClISvXHSIR7g7u Vb14gY+VVRsrvywVoz0vfZd4Kh8vx/25tClTjIdomyRJ4iFjoymnT0jwyynl VvZRKDdY11s3WoLJOYHPqtdRmBqbsmvhRAmmVRZIlt/jYq2PtKZwggSv756w K1Xh4oZi8uOqURLYpQ2cnH2Q9P+BVsN2nhiKJ1+PS/jIxg/b+GiTNDGU7vFd tgSxYRDj5IwlRC8y+RPe/GThMRpnZnNFSCyxWu2fwcLMV5c82reIYDGc2DBn NQvtB+VKv3UzqFahH9yewYKJjpr/2x0MZB01tPlSLITHTqiM/kRD/oz4z5yR Nlj5B3o9CaWhyJ5uHKPKQt6G8T6Th4Tg1Ho02NqyYHi5SO3YWSFmy6aYLY9n 4eBp1eAbRkKwlpz99l7Agr2m+e6TBI/xu9e5dixjY8gndXHjDQFEya06SXXk +fmR7/ZFkjlajwRkLOOgKr4gx9hLABnLxg5Pso+X3+rtnL+W4EOh8EPDNi6s lvxy1SXn6VkHjVOGuLC8YNGQuE+AluVKXe5JFIyK9E5szREg6U//pBfKPIx4 ZlZGCARYvbqjTnSK8GpC9LEFs4Ro3lxsNfSLh93jLJSf7BPCzDAuVGkNH4x0 WZgWSwiLvEOmZef5qPjl/0zWnMa3d22lToR/eHWXZ/+5RvBk6B72tZWPIq5l v894BovD1u0/QfZm+6VIrYhDDGyPf+TfucuH8lCPJPg9g4fXj3/NPsrHhBeG NmHLRdhp+v2xPdHn/H0N5c9zRBh/q8/op4SH5lVVRS1fRTAedaY47iAPp6da TZhjJIanUq/cOFkecj7W2bwNEOPiZ/XU/kQKWa/tOSePiXHKpDy1R4rCyNTa 3NRzYvgF+aj6R3IxyNGbEpooRq025Rrby8GWNIu7W3aJYbfNZ4VTCAepN8+1 pliJ8e+di+aOATa0aqf68AZFyGjTPTf/NBuXLk+qb8kTwcT59oEAUzY0ZGd3 n14hQtpl+wEPwh/KqdeuXX3HYKFk4pumGhYK7crkawifuW4snCXJIfrPXrol T46Bf6m9sn4WC1lHCp5KZ9NwcpnXU1jAQvzCILMFFjRq5WhJSysLTzdVVRmQ fd56oYgfoMTG76PPo8+dEmLMOO3esk1sdDbezQx1EuLb/ZyWyHI23EfCN2ya LMRjTxW+YBYHN8/NCgn8LsDtG8mDaRc5uDVDvWuuSADjdaGZ/ZO42Pkr1q1R SHSls6RwKJWLZTG6Nl8/CqCYqTsxgejt6aZL6z6PFWLm9PKs/aS/d7927ssn vuvhjWndvF8UumeOsOpChVhWkW4/cRMPa/yWSHbfF2JiybQlMvk8BHXn7qwd RcN7cXG7UTcPWy/+sd/hSeONbup1rjIf0m3TXko9pOGq6GbVTfRrUL19arcq A/Pwn0pa2nw8mh20ICiMwa1Zx+QHlfjYqDk7q7KZga7qiQ+p73jYsq9foqlJ 9FNRdnHlDcI3W1xP/SZ81f1z7tD99QTvrueT2wpFePRxz+VlQxSGe55/Oi4R IcCsfXNUGoW9sZMz3caIgS2rMgr1KCxYOjmyd5oY96+qxC4v5+LZ1lPb6tXF 8E7UNPN24sLQff6OdcpiPPdf8i9KRPr7r/6c5k+i1zvcuDcIP5kKiu8ZNIkQ YWlYdl6dg2sHQubJnRfhyYfI+JoWNqRbvR3vrRbB8rF3iHkiG3Pkdp5KliF4 9zdJKHdn45Rtbq1pKYOtdOCraEM2uoNLv4d5MoiPkxd4q7PR+7OvS2k04ecF vdUPZ7Ch06yeVVlCI2/LOPe984mfOnw7ccSXRn3QGY7CSjY+ulhlaBG/Ipz9 yjMuio188QvONIrgKb/v/e5qNm7NK1I4cU0I08GI4H+yHGSWfwm+tV8IXmNl 59BmDjzi/AW+nkKsP1ehza3iIC52Qqcx0dfmTbIy9epcuCxsfrTCUYgbJgm4 F8eF3tjQy+FuxActFQandXIhHsjpXrhdiAFtGdaq5RToNGra/SQhOs4kve3K pmC41q7tc7kQFxyPZdz5QkHWwdD9ZC/hy9sTthgb8vBmQpTfsD4NY4/CC2e3 8tBvqRu2ieBnYMV31sARHtQOd9V9SKSh93GztOJ5cr6lM1yhmkY1b/69S1d4 uNUzT27+FxoNFct/plzjobvzQ22eBoMbDgEyP8m5h1KQtcCN+OcZW9w/kv+n Wn44MXKKweiVcwVqUTysX5WxtPQ5gzin+2MjvHjQv7Zekkf4a5nZGZsdDjy0 Lltl5yklQvu5hT9r9XkYM+fPmuwZIuSbb/K/QvjW/GlB0wozESSavrKLflAo 6DA+aLRKhKhKKY9KNoVe91vDuutE8P7cZqHbQvDX9WPtkIcIl9+ZDIc/pRAf 1s7L9xHB0XZBZk4Vhfo0z6+Lt5Lr045KpXeJfmZrqDwjdcO+ovMvSylU/trL cw0U4Uxpwev2Egqm9ob2QlLfszz26E8xhbCD78Wa20TY4vxV9ySpt/3/R4RC x3eHJpH6W/bfzAJS552T78opojDkHfzwG6nfzPxia0DqCxs6Hh0i+SNw0PKt QyEFja7k0NHbRQhWLZ/iU0BBbYtl/WlSD/69Pikyn8LP3JAWbgh5vjO6ORuu UXj5z6NjiOS9gbqKrzMuUhDceRr5e78IKdeZMY1nKKybXzXQGkX4NHdet8dx cj31ng0Xz4ggHRx+4KMPBaHKsjH0FdIPJd1h68UU9HRZs+PyRWiK6riTPp7C f2NfekbcFyF99JWTlh+4uKfGmn+tWoTthu8UQ6q52PY1bab+YxEON8+faXWI C78cvwZ2vQhW7jWFlyy4mBNxW+1mOdGb6bKu8UMcONwuOdlwW4RY59PS72s5 yF5+KzU2VQSFrHc1l45xMM46Za31AeJnVfelHHblYIez7wHllf9735Jbc5Q5 UL67PLV5KplHbiTTQrPxj9m8WolhSI41+3aljA3HmMneOVcY/Ff9ziUhnQ05 fRNuiBcD3qnf0bonSJ7MnpwXoMbgud4DjZdxbHiMDWjZQvxweLHbwM5TbJxc f2SzTQaN1wEG+tXX2Rj7Tyb/0mYanM9WF1Wfs5EwnSXdp0fOnTYtPt7HxpHf uUGd/UIcHutQVmDCwdp+782LmoXoPLTvdPNRDvoqmGGZEiHxsxan1dkcLPWS 8x0kuUVmtJH4hAEXamPux7hmE3+9eLzFg5NcPPx5nt92h+w3z0+Cdi6a/6xt 7XgshHTfyl/NiyhIyWVlJHwQYl3vlwqjeApf5bYpb1OlwXv8avgqyW8brZY3 Mk401teytlUPUrh+1uGTfAKNUdNvzSpX56Fmb8HNNy9ouPXzngcak7w+O0/6 sxIDGbPoFrtFPCgZ6O/gkv3VPFXzYf5c4heeeM1cmsbAV/6P7UtFHi5tNlBo bGUwUU/uY4yY4Ds3wXGGnAhfgjU22eVRKN3xPtOU7OfYIN+u7QEUuja/rPLc KEL5JrF7wRQKmcpmo2wIfsvHJF36+ZzgaV9ThXykCD2+r36t2cuFyRIt67Aw EfSy7y1r0OJi3IBz8kNfEfxPyZywJ/1zTOgZc8dOhLLayQ+jT3OwYm+p6mU1 ESZ1yKd2ELwcWh6juaGTwf1UrvwJohe7su47JZYwGN49+fmG3yQvT8v+vjaC wfTB3KGhd2SeBqXRnYsYWDnHEXphw5Xpnh/1m0bdzsELLUI2tjR+NLKso4H9 10d9+8xG5DSfJE3ST8WU8a0sBQ4KOS8MB9fT6KnMLQgy5cBP+2bC1fk0IjdX vzDdwcFVw7oiRwUaHjdGXlfkcaAzKqNc3CeE1Vhe66NPHAwsK9jzh8xz3M3q 90JjLmSZ3gus90K8iI9+vYfkx6tF+j4rPgsxWSq9jfuMC6XTEewPI0Jk72DW 7pGnMHGX/ly36TSu5Q68vkv0wNRZP/ztEhohgyrpbw9T8HgVMGXBdhr8rKHB Ubco/Bq0+yx9kcYinb6/HQ2Ef+5Rp6uaabT2eTKHBBQSlyx5ekuaQSO90c3+ HYWi4nmTZM0ZFPhlFy0UUtBPse5wjmGwMe+q/406ChztzwmjHzJQi9deeC+D wj1bOeUXHcRPCJtmFW+l0BhZ9S9dQYTOl3rVf4gfUHQNpFp1RPjAXZ26qYOL 6gV21asJXmp7PV/UX+YiUO+uxk5zEVZVF9TbuHPx2rxWMmWhCG5ODQ6icVzo O686kkL0YMHm1zsS33Kg+GKxw+ERBrEBV35XZnLQ8KW3WI3PYLwbj+O6kwPP 0RsO/C1kYD0t1Z1azsFe2/iCv4cZdAdOHHvEgIOCMasHJ68geUWoXqqgyQEv 22m0O/FLU6ZFuPFmcrCuihbkvKOhlV/gYzqXg2J2T2HNPRolgkcNwTYcCA5P WG1+ksZL7Yjpd705uKEfjjCSD+WMRk3uPs5BU5W54UkHGoccrOpvPOBgQ5t7 uOdCmvjt1asX9XBQoZisd0SLRumPose12sQ/Tk5lbP6jMWb7D36dHxcxup8M WjRo9Msf2nuO9MdEVi/tPcFX2Q9BljKX+Kfcv9dHQOP8K11lE0WiRxem7vDw otG+aNrHyZYUzNkb//ZH0fi4dDBkmj8Fy7ni/3Jv0Diy0VHj8xEKnVvz2lRf 07DdlDeScZ5C6j4lvbdDNBa+WZydlEXBa6Ime+0cBqlNvRUXMykUrpjC/rST weRHeQEL4sj1ip8plFxmkGu7MznKl8KnR3U//BsY7NGePaXOkMJvuav5IrKP On5C+uIgF77rLzw9OEzyzE7w1au4MPKtLfhPlvi9FVb+Vw4QPnjEZTxGiSDl uT3m0GIuHJeM/rnnB/l/aurKf7/JPvm1RFaKSD2i9jyliQPJoRaluscMRmYe 3Fp5jQN+dGtIbTap30TNeB9D5pdkVm64n8HR6fPz55B9nFKZ71W5kuDFZYH3 Ki8O5F8tezBOi0HrJs+S8o0cPFi1MPHDT5K/JthWhPqQ/Y48OsP7DY2Iedfd XpI8c9F7Z9pIAY3oDKf8dWS+rw3stbtP0bjSG7TbPJeDcGykFffSCND/73jg Sw5+2pndmUv8Y6zW9WVp/eR55zVsanajYeJ07f46wm+JftsS7F1oSLEXnJ3k xkXT+YA9T0kdsdQ/Jpb4v8tHvk0KX0fDJvCBTQrJ8wvCvGq++9N4kWhwOUnM RaeRPVMcSSO+bv0wfyzZx8C32ztSaIy8Ojo0ZR6FkJ4o3evEz84Lslaa6kDB r1pVid1K8JZ2N+TXRgpf/qzLUCTzXuY/8KiQ8HUmJZznPpvkq7XnpyWR+lmb RfEPFwaLdK9NrCG/f3apR98ynIHenDesD/YUljp0piQSffBxjK2ZokNBnHR3 fdhdBmFJSeHV/7jwig31r2pkoPIqLDmZzUXfk1fzazkMHOM/Hsm9zUVmbKQ4 n2bQMcc4TfowF9Z9ZwxXkvqOfH7FhlVc3FSx6ihjM1g+NU5qDenXbLkCFxuC r0kdHy7FDXKgWjbT6DS539jX7VN8iT6s6soPjslgkJfuv1HnIQd1/zUknznA 4OLKDysPZ3OQf1glev8GBvT3jOjWM8SP3y+grhszeKQ+digvgYMqa+WwOJK3 u6q7jOYmknlOCtwa10P63z3nr3Eq2f9jiVZDTTS2299ZuvomB2azUt9pFNMw muXnWFHHwc7QO7+9iH94pNAwbQnNwbaWbyq7jtMoaLm+0HKEA/2M+nOsAzRk VK1NY2aT91fP2tAZRvT6TbDmM2eyD4ljyxr3ED2ZcP9sfjgXUabqTcH7aFRF BPWzMgn/TfQySztKY7eR1tyPdVxIdHKOWJ0leDgvGe32jvgx74HwHLLf0Y/M axRI/z37g81G1xC9+r5/r/JUCgeuqIsTKJrwknfNxTkU9hf3RJkQvMcl3ypQ NaEg43ex5S/hv8K8qeYWxG9MjKIvs0l/ru7xej7GmMLadyq3TrsSv+5C5ywn fD5z3oT8oGAGft9zJwYRfQ9YVRByPI6BeLy3jqIUBd19jw9oknlE7Dx4RIb4 x19nC/rP3mJgQn8OsW3g4v2n0fWry0g+0zy1gJVLzh2W7ZGqYjBrWkycIJaL uMpZ0ReqiV7Lpk5o2Ur8pNWMBdmVDHZueJuqvoKL/wOY58ZM "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.45499999999999996`, 0.34999999999999987`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.475, 0.3699999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.3749999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUFle3hxF7Sey9YiFqsBtsyCgxVjSIsUKiscdYUBGNMYoNu6IoMehn UKOiQcWCXV+7WFCkd5EO0ptdbu5a8+z51rju4uYm+W7LX6xn7XOG+Z05ZZ99 zn5NJs6xnWJsZGQ0ubyR0b//df7+Xfsmq6MMX99YafjSwkfpd2V2iM/IIOGq xleeu1jfFh7TZHGNE2cOCVN/3ICYqKt9r0t9mPow9WHqlzn6Isx2ygOpD1Mf pj5M/dEVK82Y1y9I6sPUh6kP304qFWMff1oxu1R3eq9R4Yr9LE+TigH3hNPz x6fP/TFE2PRE9qdPbscIU7/UnFZTy0yPkfow9WHKP3OtfzLZ4qmUhykPU37k jGad7t9KkPIw5WHKGz79yOf4sGQpD2Nv07h9h+1hqWKHsbsVdT22aMIz4beP erX7Mi1Tid9tvmLarDBDrNPeDzpM2qlYG4YOL/j+oTDfAz6wzt6iS89LwtS/ Hl8tbZR/iNSHqQ9TH+b7wV2PrjtU4cNtivuOJilNn0QKzxxolpSa80RZG/jR j62PR4gdxk55z7e7c8csjxc7jL1S2H6H3pWShB19jmSbuKUo1rV39r647LHY +R4wdspTP3bdidnlGqULD5x0LjP9lwylmU81v12e18XO99GXP2lhmPmoXbb0 d9qX/g7TXjDlaT/K69uT/g3Tf2kfGDv9FTuMnf4J0x9pHxg7/RGmP9I+MHb6 Z9i1DZmlL0Yp1sb7TLe1iFZ2lXnj5r4hSJm8aYqrk3eScmVzuKPtudtK9z7z NytX0pUlW2b8MHb8JkM9k4wVbUYeFK7itOlw4tpgpebwxHJPphxWxri8tXbf kCX6aB/KL/x8e+u71cOEaU/e52nrXYeOekQI0x8ZX3z/0vu3mt+rflnJ8i7y P2Gs9QfKw/x/2g87jJ3/B3fa6BFu9V2EwezYkZFmDg6K29HAjzd+HSJc+LDS spBBj4WPxa3+pffke8KMT3hui6LBAV2vC09/8CD+VqXTwozfSm1+vpg9/oL0 R5j2Mnfaetl0mK/wkyjv8+fmGqR+h1fpEetG3JH6MOVvNkscd+DeTWGPoNwx s6PvSv2MDqWfbboYIPVhys92KR7VLeuh8L7dLm2NjAKlvfi+tA+Mfhj9MP8P 5nucifI64OQdK/2zwavUR6k5yfL96Q+8D+stzPoJsx7CrG98X/4/4x/m+8LM B/r+zPekfzE/Mt/BPRJu9Bm6P0x5deqr6ttaJEh/Zf5jPoNfDZn+0JDyUHk4 dWZVu09S5Xn0Z57H+GH8wTyP8oxv7LQvzPOYH2Dq0z631xgyllknWdIeMN8T ZjzMzfPKu1gcJv5Bg5r+VaOcIxTXu9abG8RGy3z5xuntTNNXkTI/rsp0nNHX L1jmv3k2MY/WXLv93vrb9O0/svOMsxTbOg/c6j39bb6Pz3FO/O3/mZ1c5Dhq 0h3hR7GTy2ZX9xZev3pjwuXTJxXY8nLSLz3O3xWO3mVsVqlKiHC9sdtWL+wV I5zX3dGjVakYpZ5jxu3NmdFK4jejLctUDlEsiko369Ii+be/a29/O8FPOVwx KzOt+Lf59JrLjUV9wiyrrgo/mTVjvXDkyGcT5vvtFQ6O2vpw+fazwn2cvL2+ /Piy8PYRkxMCM28J3/OcG9DnvJ/wnmjDnJMVAoR7ruw/9ZvZj4Udt/jP+r5B iHA18y8md3YOFR5oFfVtP7NI4cTUrye+3hol3KQw9ZsPLJ8Ix/h36xg/PE4J MJ64os7KGOkv2F+OeN3l2UfxwgMOWR6/Hfkbj26YOORqhDKofJcRlZZo9knt jE898kkUPuH8WftfJyUJ+5er2Pl0jxThhuOsj27JSJHxcaVpgW+ZW0lK1rLD d87tDRV/g/Ld4qqe2Hk9TXh1lxFmjgu077P3fJ2OPwzJEM6uMu7XMe8yZDx5 DrPzuj4jXWm9OufswGoPxP/wmFy3233fa0qlsT0nbHHW6ld2a3z86+As4bHJ E9r2XpOtrB3t0cP58l7xV7pu/77Md42TruCPUF7mN5VlflNZ5jeVmd9gvb9C /8XO+IMZfzD+yZszO6+vGhAu/grzzbB0h/ZFG7Tvx3iF8Vd2piY7jfo+QPwX 5kuPSrM+dxmYKuX1/szmcrbbPx+qtSf+TPP24zetuukhekydoq3GLIpRjNMm rbleVeuvozMyfnny9IjwL/ZDk4Y+D1KqLRjU/+qLGOX0ziHlR3cLV4YtvfWo Zm6M8vDkgkbjHcIVz+4LLqe6hClZzoMW9RifqMT6V3YqPyFMed0sdGrEkkTl 3DiT/cYnHir/qJWybcTcNMXo0n0Lq8oPlRtnl9bK3ZWmtP/W+qbnPF/lY5fK 9msLMpWOR3dv8SrQ9kfhk37wuP+Dt2J27cvw3keylJs/z1pateDYe/4U8+fT L7c0nW+336D/fvhTL4Zc9opoHirtsXjxvfCrLSKEXV8mvbi+PkZ5F1drSNL5 SKXPT50qJDQ+r9iWdUhYvCNT2d14wOcuyy8pjpOOxL7olSnPZ71zb7t6pGvP SK291fkc9lq2uoLJU1/xN+81Cq/ucj1G1hf2N+hhfwPjj8B8fymv9hcYf4H/ v2j6mkudykbL/sWnwPfrR65RivKk9bldm+KUPYmmMw/Oj1IGfbWhwR2fOKX1 1jE3My5o+5nr7TOW/XQ2QjnxRmlctDJesXwwxXTCxUBZj7ufsRry0bBApUOr Dzt/GKTtV/I+G++WuCNb9LH+DatyKf2bhAhDxzsbBhpGelrWqvLd7YZVNXZq d6L+lOfBwj7tCnqfuh8iTPvwvBqfm219c+qx2MOHpc089iRAeF6clXP2lrvC 6XF+fhu63xdmPYZpb57v3aLHnCYVb4jdvMUp0xUTrgln3e/v0WbiSeH4B7Yf TzzlK8z8Jf6r2n92Vtvqfb/8KW1+8ByVVDH6qsx34q+q9sLMSYELD90Q/qbc vKe7iu9JefFPVfvPI5Y9rHjfX7jSmdtZ7lsDlXkt9jqceRkp4yWnwK3Poxdh wuZTq9cddC9QeMacCg9vbHsknDe89PdnP7klHJf2+JPAaVe08m1SrLZXuSAs +0mVjfsvDH1d9az0T2OjUUMerLsmjB79erm4ql1CnYoRwqcbxqe39o1WFje2 2xOefP+f/JWey0YUBLz3PPo/9Yddn/70SYNY4c9SFhYsSohT/Hr3DzHxilbi LdvM2VU/VrEPnPvD0NHRSr8Tdr2sPngiz2N8UH9rz4tzvnDX1ofjV5fO/3Jm ghK+e2b9nj6RSnmjz18t3/hU6uvX39c1r2d1b6qt7/U9Vuf1LUyS8ow37FMy /WY19tLWk5XzN841XZqqLD16ZOq04aHKgQt3FwZ9mqRYzGvlVqdssDJ75scB A+8nKwHlhveyOh2kNG/Zp9j5bbK2vqrrNc97dPtRRqlOmj+Qae2WU6n8Mykv +w3V3sMz9Nvk88+09cXUY072lkzlTYer5V9WufbefrVbwz6etdplyvNY76m/ /7uY9HtWWYrdnYVeI3/apSyutXdE/S+zleB+ETeKn4ZKf5J4hsrtq7oFt5zi LyzxDZXxj2W9UPcr0n8m3O/37dkbYpd4isrjZhW+bl45UBj/CvYc5B/X2HaH jP+zG3r2WNjAWbiOifOdUbVvKft2JHwSeO2ZUsc5asy77feVz4Lvfru6Z7ry 1aEJ05YcDlfGr5mUet0xQalzJMzufESAokS+Df74l1TZT38WlNYxffg5A/ph 9MKMP5j6fk0fxNf72FXqw9SHqQ93OmsYZvo6XtbrRzvWvI6ukSI8y/FzL7e2 z4Qrj6g7crBVtnDIzmxno6O5wi3XjgiLOpcvPH/h2XZnbxYKX5/acNW2gOfC 1Ucti5wV/VJ4wmcJHQelvhY+3nXAmpYFb4WLW/waU1xc/F48Fv8OPTB6YPTA 6IHRA6MHRg+MHhg9MHpg9MDogdGDf4oeGD0wemD0wOiB0QOjB0YPjB4YPTB6 YPTA6MGfRg+MHhg9MHpg9MDogdEDowdGD4weGD0wevTxdvx/9MHog9EHow9G H4w+GH0w+mD0weiD0QejD0YfjD72L+iD0QejD0YfjD4YfTD6YPTB6IPRB6MP Rh+MPv15B/sv9MLohdELoxdGL4xeGL0wemH0wuiF0QujF0YvjF4YvexX0Auj F0YvjF4YvTB6YfTC6IXRC6MXRi+MXhi9MHph/IHTX5iENuuRI/ph9MPoh9EP ox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/d9c+6W22w+5oh9GP4x+GP0w+mH0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfR36R965Flr+eJfhj9MPph9MPoh9EPox9G P4x+GP0w+mH0w+iH0Q+jH0Z/kMev2xeWKxD9MPph9MPoh9EPox9GP4x+GP0w +mH0w+iH0Q+jH0Y/jP615TsEpw0uFP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD 6IfRD6MfRj+MfkvHkzXttxSJfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH 0Q+jH46/Y/dicHacxOfRpz//15/Ps18mHqc/j2c/S/tKPFuNj31YOaFwbFSO 8M2FUz950DRPeFFimqPl5Hzh9sNnnfbxKhBOuJyT3zyzUFivh/0O748/yvvj 3/C+rIc8j/UBZr6EmT9gxhNM/+I8/IN8540VArKVBZ4jPC4EPnnvfM2nWbxN memJcr63Kih7mP93aRIvIP7rfLDFgVLlk+T7wOhtsvrZ8HNN0sQOY7806dS7 2eaZYoext9t7OaTGoRyxw3J+72pilnUyTzvPURn7g2WrV9y9UiB2GHuDOWnh v9wrEjuMfcZXQzs4h74QO4z93NATq+3iX4kdxl6hd+1o86w3Yoexjzb7rnON V+/EDmOn/xAvYzzAxJddI0dvO+oRJ+WJh1Eepjznu/RH4lnMLzDnr5zvEo/t FrX7Gx97b4lHwMRvHJpFdzbpc0p484Lls5r02Gcg/kx5mHgG8WTsMHb+P4ye /gOiHjd9ot1fYT9Ef+b+CMz8QX/eV3/xBy0HZEr8iedjZzwyXplfmJ9hzq+5 /8H/434A9fHvGV/cZ4Gpz/xN/2i9Z6RNdpVkGa/M53IfZUnjtwdapoud+R37 ZLukw/YWWWJnvsde6h+jfq3YNlfszP/YbTZeKJX0Sb7YWQ+we37fZMzVvoVi Z33AnjVjxbFdQ5+LnfUCu+W45DILx74UO+sH9o2DBtvZTnktdtYT7NHdj51o N/et2FlfsH/cukaFij8Ua+c96nghfsN8yP0O7MRDsNPfsNOfGG8w/ZP+BzO/ Up/1gOdjJx6rjy/+Z+83iH9Uuvae0sv/vPsMqWUWe8UaZykfV946Z55vvMRb 76aNadTGP1l4ml+zu08S04XLHkpd4P4mSzjQasxW0/W5ws06X0op5Z4v7GDS zDJmb6HwlWqrtp87+lz4Q6PUdLfzL7X4cPaQvnNuvRb2jj3+4+DHb4Xf+NfM ahVT/IfvRwReiDK5/dLHAD/os2JL8K2DBvob53+25s/Lhaz4p/sGuvsEJd0H +L3n+frzet7PwrxG3f3HcoTjn5wKrlYhVzhn345RtfM1drfuVmuldZ7wwar1 3dd0yxe2Pn9hRKGrxuOW7A55+X2BsJGppdu0EI2rpTWtPfNqofCZbdcCI+oX CeMvwcy/J+M61Zr2T+fRjBfat6Tz/pLO8/Xn94w3vb/F+amc96n+l9w3Uf0v GP8Lxv9Km78+7F3Xp//hfQD9+Yr+/OKvPv/Hf6N98ddg/DMYfwzG/4Lxt2D8 Kxh/CsZ/gvGXYPwj+F9+nq72D/F31O/7oUv0p0tcfIX3fFHqx4Axuwz/38/b u03KahfZJ0H6+3evCm4NvZYoHNL3TKTrmBThuhGX5pWJSBWe32zpmgEOz4R9 z65qejEnQ7h68Wdd363JFm47xDS5+6oc4fAsF4fIR9r6sqjneotarnnCrWPT b/tGaeuNX5usbdm7CoSd/Ic13pqirT916tum3TtUJHz70sn5M/O19WhqhTPK wVMvhGt517k3oFhbn04/r+++3PBKePKuxc1aVH4jXCblhwz7+xqfXB/r9K7O O+EvQp9adQ/TeNyKas0zGmnrWUnn5frz7997Pm30Y3o1p386Py7pfg7jhf01 48OlTd7psCkau2cEmUfb5Ep59t+yfrkvKBh0RJtvrceOdhq2I0/Ksz+X9cz4 ZZdLWVp9o9uRvlcj8qU8+3dZ3+Ysmd++i8ZnOn9V2LlJoZRnf4/dPrr4pOdC jWf8/LTrgYlFsn+g/xOP4fussbVd5WudJIx/D7fq1KDTzMlpwvj38I2q8THN l2QK49/DHZ9/cSvjrtb/8e9h5+RzDf1CtP6Pfw8HhDSat/+p1v/x7+Emt5z9 lmZq/R//Hp59OrHJuJda/8e/hy/tH7jgk7Kaf4Z/D1dx875frbrmr+Hf/0f3 t/T3xfTn+fr7a/rz/aiG7er/eDhOnl/SeT/fO26ZzfNvqmjnEfjn+Nsw3x/m e8N8X5jvCfP9YL4XzPeB+R4w7Q/T3jDtC+O/6vXo7xvA6IHRA6MHRg+MHhg9 MHpg9MDogdEDowdm/8J9VfxrmO8JU577rJSHKQ9TnvuulIcpD1Oe+7CUhykP 8z1gyedQ/WP2hzD7Q5j9IUx99oPUh6kPUx+mPvtH6sPUh6kPUx//nfow9WHq w9Rnv0p9mPow9WHqsz+gPkx9mPow9dkfUx+mPkx9mPrMZ9SHqQ9TH6Y++xXq w9SHqQ9Tn/0M9WHqw5Rnv0N5GDv7H/Zj+Mtyv1u9Py75cipLvp56P1Pi+6pd 7nepLOcBannqc18TO4yd+5nYYezcV+b9JN9RfR+Y+jDjU5//iP+D/45/w/4A /wV9tBfP189f+vbSz2f69sFOeeYr7DB25ifsMHb9fET78X7o531g9MGcR3B/ m3gp8WKY/D7iZ+R7YSe/ifgpTPwapjztA9O+6ON9JH9Yrc//J78NJl+N70m8 B5Z8P/X7S76fytjpL9hh7LQX70N8Gib+DBMvkXi7yuhlv48dxs7+HzuMnXgA dhg78QHsMHbiBbKfVhk78QPsMHbiCdhh7MQXsMPYiTdgh7ETf8AOYycegR3W n0+Q38j30ucXSnxQ3T8Qn4bJd6N/68eLPj8Rpv8QH+H/yf1r9fnEu2HOk6hP vIT6ct9aLU88HOZ8SfJH1Xim5I9y31otT7wbJl5OfeIx1Jf712p5zldg/XkV 8VK5/879arU855sw5zHUZ79LfX1+J+c1kn+qnidRn3gs9SU+q5bnPBXmfJb5 9L18TnU+YLxjZ76Fmf/085n+eZJfpbLkV6mMvwVL/pTK+EMw/g2s91dY78jP PWi4V8bON1/aC/+EfNynHYyn9l6vrZ/69RT/hHxY992rDxx/mCvzr369xV8h v3ZIxYpJJjXztf+njj/8H/4f+cIWyTdWO5lp/hLPJ78413bArVQHzT9ifPP/ 9M/Hzvtj5/sTj+P7wnxP4g2sx9h9hhUV1BsQKes/+zfs7N9g9m8w+zeY/RvM /g1m/wazf4PZv8Hs32D2bzD7NznfanUhesa0aPFX3DdP71X1fIz4J+g/VjF2 T6V32u+LEC9m/Cmbjyd6u2j+8bU9XSYPjtW+Z41uwVM+q52vVHi8y35a6Wil l1FitkuNq0pzV9vAO2djlOWRj6z22j74l+fzxtf0u5j6XbjSzsIxYXzIWuVg yu7ezZpEKNP3vWz+tdGeP5y/e+HqXauc6lHKh/tcLcrknvlvz+fle/L9zvi9 8Q3oHCv+Y0n5viXm9/7BfN4/mq9bUv5t042uVZq7n5L550XXBU639tyV+Wbc sqlL0teEvLd/mGLx9ZSBw70NDpubLjrq/v5+gvlCn7+L/VCDwBqeyqHfnc/r 1XTn3Za1YxV9/tufld9bUv6uPj9Xn49r+jor8Prya7JesN5suVh6p023XOXS r/Wm1qjxWNYH1peNG0dNHfND3nv5vH3GTDjY6fJZQ+/nA4qDyucqqWFbJrnU emBYYTbDfu7necrJukbVi9aEGhb1mV331pp8xTQn9+3W/sFKy37rbcZV9TUs sndcf2jHb/P3/LHrtkzxNlh94FF3RmioErpkc1rayt2Ggr5Hi9u2ipbvdaHv jKhomyjhCqZf7Iq4EKP0LZxYp5uj9j3IH8647L7jZq9Y5UzIP76t8iZQeZM0 Lm1lg1gldUiKl112gBKQMWvkWCVWKZo4pWO1LUFKnZuWuQfNYxWfhZ9WaLQ2 RJns7v2iwjhPQ78RIx96fJmjRGe9WVgYe8PgMMA55cRv64BP1T3ZP/UONAxb s2PxpMw8xbjHrBMPUyINv/SZUCGoSYHMvytsqrgu61KgLHZpeGrgz0ESX4w2 yXQI6B0r+8lGk/a1N+0RJvq+6P8yd32LSGVjTkuHWt2Pyf6b9eDKkFZH5tZ8 KOXNrX/N++DSI+FzqxofvFwYJLx0VeTyOSYaW28cHeWYHi77wZLylxlPuTax NRLGeBsqxWSYZy8Nlf1qlV6xkVPHaftJR6/8SbXahMt+bG093/abf46Q/aw+ f9m8oWuTUIcoiWekb9g05E5KlGLu8Nw7yNigmPa62/dxmxiJZxQ1Uyy2KDFK vZ97Pmn1+s6fnr+sz+9m/NL++t8DKGub82Pds97SviY24QsO1jr43nxDvjv/ n+et31c5q903F7Xy++sum3rhivCrzQ1/8tx4R3jF5h02ZRJvKf/V/F72w+Jf NOu81m36E3neINeeoQ5N4oR/WrbHzLptvPD3xUsatLr6VLja/XC/qHWRyoyL bmvbjjsp5+k8/25WnIPRgwQpnzLbeOVH5onC3b6aGmFslSxcP7bfnaiwJGH2 3zxvmr9X47MJKWJfPfReh9ihqcIhFu1dzo9NFz57qYrjtuw0YfbrPK+st8O9 Wa+fib2F2bbo7VMyhOc3LOrsMDdLeOSu4GaDymvM/p7n2X62u9e2ijlin1D2 6M0DlhpXeBs7x61frvZ9LR4mL6uqMfEAnufZ1WjbrNp5YvcpqNZw+WCNx2RY 3Z5tky880Kxzb7uGGhM/4Hk5LSanDjQpELtRouNc+1Eae0UdbDTYvlB4Z0N3 N/OPNCbewPMsa/pZtmxXJPZhQeF3uk3UuOhepfmtpj8XTq70Kq16F42JT/C8 zcZmO4q7vxD7nusWTWrO1rj/hdl3jRxfavPfqy/7ZFpqTDyD50XnbnkW2e+V 2DNOeDpmfafx9sOBTaOXvRZelXbN3W+wxsQ/eJ7Z0/y+Z2zeiN1ib5n7d1dr nLjT3OnshrfCweGtMveP0ph4Cc9bEjB651b7d2Jf7zrd5MBWjTuv9Xiw7cdi 4ZZ+6z5dNlHj35uvX3SkXs/l+6KV3B5WE1N+vaHscxuWEVMpRkmZHBzuNeP2 3/n8JeTzl/R7Hvrf4/i9+f+/N7//r87n/6vz80vKv5920MS/9viJhkU+nQt9 y+X8z8+/X+Dbc2eEm8RzeL7RS9dBc9rmKFkLF1Ta4RtuWNW4os2hoHwlfOD5 FYc7Rsr5EfGhB28CI8pn5Yt/0/OTGi1aHMpXapwvdX5FSJjEj2zyjngOrBar VDtgP73O5gBllt/BgavuHzdEz7Bf8vmpHGV7txt2Hvl3DFaV/a0rF/+230/Y dHjxhGBD5NUW67J75ivzxgcM6XXcYAhNHZ9kY/ebP2+05sp4kwDDq5NdHj3a o+Vn4b/SHjB2/D/sMO0Ds7/Vx2dg4jMw8RmY+AxMfAYmPgMTn4GJz8DEZ2Di MzDxGZj4DIwe9ovogdEDowdGD4weGD0wemD0wOiB0QOjB0YPjB72u+iB0QOj B0YPjB4YPTB6YPTA6IHRA6MHRo/+/dlv8f4w7w/z/jDvD/P+MO8P8/4w7w/z /jDvD/P++t//1Z9Ps1/Hrj+fZj6hPEx5mP0q93WpD1Mfpj5Mfe4zUx+mPkx9 mP2V5L+o+zF9/EZ+j1fdv8jv96r7DZj9Aoy/D+Ovy++5qf42jL8M4+/C+Ksw /iaMvwjj78F8X70e/C1Yfl9Y1QejD0YfjD6JF6r6YPTB6IPRB6MPRh+MPhh9 +vsAxO/oDzD7deJ59B+Y9Y/7i/Q3fT4i6xEs+VVqf9Lf76L95b6iynI/UWW5 j6iy3D9UWe4bqiz3C1WW+4Qqy/1BleW+oMpyP1BluQ+o6y/MD7w/7c37w7w/ zPvDvD/M+8O8P8z7w7w/zPvDvL/+97CJ79I/mN/oD8xnfH/mK86rOI/i/Ijz J86b8I84DyQ/T35fWI1PkX/E7+fir/F8zr84X+O8i/Mz/DUjp40tt4/W+ifM /6f/8f+Jh9E/9b93JPeB1fdBH88j/oZ/BWPXz58Sj1NZ//vRcn5IfpcaT5L8 LpWxs9/EDhPf4v/D6KO9eZ/1hk37uxc+fe++Cb+vHH4s92XNUoliJx8Qdtp0 /uC9eqnC5APCtWYuH7G8Y4Yw+YDw2AMtjRq1zBEmHxD22r521PMOecLkA8Iv VmZ4B/YqECYfEO4/36b0sQFFwuQDwu4TT49dN+KFMPmAcOLwej6Tx78SJh8Q 7tp3Sbk+374RJh8QXtkxzr7hwnfC5APq+z+/Hw4Tn6X9Ydobpn1h2hOm/WDa C6Z95Pcs1faA0Q+jF0YfjD79eT/jifmG9YXxJvfp1fKMb1h/Xs/6Q325X89+ Tx3/sJ3ZsH7+LwukPvfrqS/37bmfEl91crndGlf76fFKxVK7b4//xPdiPWA8 oZ/1AWb8wKwXMOMHZv2AGT8w6wnM+IFZX2DGD8x6AzN+YNYfmPEDsx7BjB+Y 9Qlm/MCsVzDjB2b90vcnyYdTWX6PRV0PWK9Yv+g/lJd8OZXxp5lf2b/wffW/ 9879EMqzH6U88yd29nfYuZ+lz7f9+/7FH7t/8Wfft/jfnm9cUv5wSfc79Pcz 9PnGfzTfV3+/oKT8X/39gz87H5jxqL+fqx9//9n7Dvr7Dfr7Cvr7Fvr8tZLu D+jzg0u6T/B784d/732Dks5j/+r7CCXdP9Dn//3Z9wv+u+8T6PMV/6r7A+RH /uH7A7r8+v9t+eC/Nz/7z75/8Pd9gr/vE/x9n+D/zn2Cku4H6O+jlnSfrmvF ocYDbGPFHxzlf2Hxq/axyptmDo0ffxD6Xj7y37+f8K/9/QTWB/n9v/9hvy+g vy+p/z2Zv39v4M/9vYF/9f0E/X1b/e9llHR/QX4/6Ve7C6sK5xtKus/wbwOJ rCE= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl1dwVlUUhc8hQEIAEyAENCChd0IvoYWOIL2JFBULSgcLdhFBaaG8OI69 zNi7YxfriE/23nsdyyj6oGNby/1l5GHN2f+5+55z9trrrnv/9svWzl5TL6XU IadUoPEEYaTQSThRGCV0FkqEYqGx0FBQevJ9pwrLhfpCIXNe5xRhtNCV+xpw 3yphpVAkHCY04vo6Ya3QROgntBYqhBqhG7ljhO6cpZfQUygV2pB/uLBbqBUW CXuEHcISoY/Q8pA8x+XCEYythK3CFuYGsP+RnLcx9W0TLhPagQr2HywMEtoK A7mvUhjK2AFeO8PRcKFaaC8sFIaR0wXuzW9voRlnHQWXBdxfCJ/LiQvguBhO G3LmYtZqyPVGcNmUayX8Xkvse04XesD7GfTAvJ9JD8z7fGEefVjEGZvBTSX1 7xP20oOW8N76EN79uy9xK661gdMtxM65lN7051o71q+lt+Vw3457NgpncbZq eK2Eh07wV49emLft9HUIv81zfXjpBlclcFA314P5UvgoYRxDPJv9S9lzJHse xT4+6y5hpzBXmC6MF6oY+8LJpBTPg+ueCAfma3IKjZqHKSk05xrbwoV5mJBC 9+Z1Bnv72rgU2nJPpqXQXscUWqxmnZnC0fyemkLHHeBs1CE8jYarTcJF6X+t 1MDVZuFiePGeY1PopM5HrN291Ox6rcN18DaA+iuobzL1HgNf5mowtQ2ijqmc sx/1u/Y51NmROqZQYzU1On84NVezzkLyL6SXpazhtUYIxwkL6J3XOJZ1zMcs OFnAWatYw89ML3IXkr+LPOeUUL/3WpziuTJXu/ndPIWnLRVacJ/PUZbCB+zF 9lVrx1qp87YlcLuU2OvYZ45Poc1C7i+ityfTW3NqzVirp7G+67KHr0nh1Z5b wb3GStZrTOyc87i/PnOrmD9fWM19q5l33JLay8lby3oncWaf3c+N/WUHubXk Wzsb4NBc2wf8XNqrNjLns1/A2hvocSl9OZfeWI9nw+UKzloEH+ekeIZnUZvr qkmhf3uDvcqe5WfRurf+6/xzM3PujT3O/laZwjf9/NlvN7Fef9Zybhvy29IP 5x/J3Fbm11N/E+pbT2xv2876S+CsFRw6tpbm8rsFXFpz1sliYnNsve0idx/5 VaxZS/5Ocqo44zb29T57WN+eNI4+e34v5xlPXMW4j3gI67jupazjPe8wfzn6 eYvwIT25y3zl6O1tQnmOHrpP1rm961VhQA5/udp9zdG/34QfqXWo5h5L4T29 FN/P2f8U/kqhjeGafyKFD/0j+CXjvmWN9XKc/Rvh6xTeMUZzT6fwmImKn0/h J18Iz6XwoReEyTnmR2l8MoVvzVf8LDn9FD+YwucGKX4khV/OVXyzxkuEaYo7 5/CQOTmuef4doSaHV77nXuTwts+E/dTyDGf1OR+HC/Pwq/BlCm98ivMN5bwF nHk/vHidA9Tp+a4a703xHuii+Hf01VPxH/R2mOI3Unh9N8Uvpnhn9Fb8MroZ nKN/7l1/xa+k8Pq/hStSeN9rwqcpnosPhJtSvDPG5qjftV8HR+bnLeHzFFqd lIMXczJa8Zsp3hkfCXen8PJPhMtTeO9P8GJOvuJaGTxdxby5OUCvfxC+TfEc zdP8uyneIdMVf5fCqz5mrTJyfyF/vHIm5PCpl4T34edG4SD59wg/s85B1ipD X9aQ9XMle3tff5ssS3ybau7tFLotVtw4xzXr+vUU2n44hdYdP4r+rL3ZGr9P 8YwXKS7M8X/Cfeueo3cPpdCuddtUY5Mc/zPuQx/WxgMpnrf/vtk13pri/dFC cfMc/y2qNPbN4dE3sLf3vca9zeG5IzSOzOHX17oPOd4Hpe55jvdcA40Nc7xX KjTemcI3raOBObR0vTAzh79Zp7NyaNVzPZi3lmfk0LP/S7XP4ffW8pDMt4vG tjm+rys1tsvh99ZXdQ6NWct9Mt8uGm9P8W78F52wDik= "]], Polygon[CompressedData[" 1:eJwtlGdsjlEUgO8Ve1Ob4rO/Nmq0UaNGtFXV8nWg1QhVIwi11WhrJU38VSP2 3nvPWCG2HyREjMRIiE1iJEY8xzk/npxz7n3vfc+6J5A3JSO/jHNuJJSF9/AB BkMYPIcX0AXC4Ts09c7NQLaDl/AKekAADsA7GAoZsBbeQCa0hNdwDeJsrTZ3 LUf2hnFQCbsajEZvLT6hV4RR6K3gD/yFftARbkID9icjC2E7rIFUSINHcAVy bE18OwhDzMev8Mvil5jrc9deZD5MEp+xfyIjYbb4gL3B9AK4BY1Zm4YsgkOS F+y+yPYSA3obGI5eCxqh70dOh6mwFVZBAgyCbbAakiEEj2GjnZU735oPBRbD ddgJ6ZbDc3ZHyGp22XKSZjWK4GwkjJDcwxHxEzseGQW34ZnVrhjqsLcbORHG S86xf1vu58Bn+GS1HQYf4RhkQ5bF1sHrtxLjceiMnYjsBPHol5DdYCD8gOas zUQGrTZbxA+rUROvPhZbDpthD4CFTs8ke+1R6c0FTvfWmS7fNPRasyKr8VO4 AfMthyvhm/ku//wCdy33ku96Xnuu0HKSir0euQgWw1VI8hqL9Hii1xxJbuZB T2wPsehzIeD1Djk7y+lbyMReYvXMQr/n9O2VQIrXHAXtn6ekzqwlIaPhjOQS uz8yBu5IX3n1XWKQt5Dg1Zcc67U4r75Iz52X/0pOkV3hopzDTrEaVUcvB7no Y6C81zcqbzPXav/EaS9LD2Sz98DpbFgKD21NdMlBEP2w07ciPZiOvdnp7JEe jcY+Yb0iMXbHPmuxiY97nL5ZeasyA2LQT0qPOZ0Ru5z2sPTuBNjh9M1IbiXH fdi7YLFKjDWww7zOorYQhX7U6duQnr1vNSmxf4Sjr0BGOJ2Jy6Aya3lSa6ji dabJLJO1Cl6/kT2ZabHYp612UrOq2KXIXk5noOg1WRtra9Krdb3GIj27z+lM kVkiMyiEvsnp2/4/c7zGJLHIHTLLWnjtNZlp/wBPrZ86 "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXXcV1USh7nnInaBWNi4roliJ9gdq2uCimInBjYmIAuKigoiKAYGCgai IIqL3S0qYq3d3WLsPM5zP69/zDsn53xnTsz3/t6le/ba5ejSqlWr8+NPHXrb 0GeFbBNCR/eqVaseIUdGuVvofUPOjXL/kJ1CDgs5NGTvaO8Uev/QR4f8J8oD QnYOOSfk7JDttH2m9vuF9A3ZIWRQyMCQf4f00UavkAuiPjhkj5BLQy4J2Sfk 4pAh4AvpUXL8aSGXsXbIwCp9Oi9kt5DTtXdMyBnqY0POVB8Xcpb6+JCz1b1D +oacEHJiyHlV2sJG/5CTQk4mJupTQnqWxAKOfs5j3KAqfTtdfKdZP8d1WON8 bYPrAjGBZbBt1C+0jXkXqcF4Uax7YcheIe1Dlgv5BzETKxgvFhP1y0tiHBZy RZRHhKwW8ljUJ4XcHTJcrGAfof9gHKkG10ExZ2jo0SFXihuMo9RgvEo9hLWc x7hrxATGq+2nfpt1+q+r0j44b3CPwXWzOLB3k/ioj7UNLJ0D27Whx4fcKg7s Xq89bI1zLHhvUTPujirn4tfjxmMy+1zS3v0hd4oPe/e6NvYmivVGY4keo40x 4r3LeYy7R3/GusZN1qdoD1z3qfHjv2ri9ID+gfdB9YSQUwPnKSGrh1zuHrJ/ D9kP9kfFOsm20frzsP1gfETNuCfEB96OYbdtSLuQWUK+j7YfQp4WN3ifMi7U XxIf6z9jP36sEXOnhn4uZJr9rP+CMca/56scQ/1F27D1smPB+Ibrsf6r+sZZ niHuJ0Necy+pv27bU+J+P+SDkFe0x/w3tQfetQLns6HfCnm7yjKY/6cG4ztq sL8nVvz+1LVnuMY0sX+oZs2P1K+K5SXHfRIy3fkf20/9Xddhjc+0jU9fGAuw f24b9bVLYv8y5Ku/+THdOBGXr23Dp2/1h3W+sY369/oGxu/sp/6jvuHTT2p8 +lkN9l/U+NSqJA7WnGmM8OM3Ndh/V+PTr85j3J9/82OdkuU/QqqS9sBbSmr8 qEtq8LYpud/gnbWkBm/rkv34N1dJTGCZrWQ/fsxZEgd9c5fsB+PsJfvxb46S mnHce94q7t+6JTHOE3qxkrZYZ76S/hCPhUrim9W7hT/FO4bGjwXU4J2/5DzG Leg9bOP739r6wtrDj0XU4F1UDd7FxYJP65XEuERIB/vByl3h3nOfl3TMvCHL iKOt9T/cn6Ws49/SasaNMR6818vqGz7x9pPHyE+rGCNwLW9c8GMFNX6sqMaP ldTg/aexYM5g8yE5eGX7sQt3gEeQs3nneEN4d+A8cBy4DpwFbgJXgO/AZeAH 5Fh4BzkdfgE3IXfDX+Aa5HL40j6h96qSH8Gh4FJwIjgO3KLJ3+RIuAB5lnx8 QEkOMaBKu30d23AX+EPDXag33IV6w12ow4n6aHuC/vFm9tYe43ppj3EnGnvW w7f+1lmDXH+e4waJ9XTbqMPj4IPg2q8kJztVHOT5wa53ofWGM/UX92DX+It3 Vskj4Ylwxl5iGmK8Bnl+hlctPKPhHeiGX6AbnjKyauEH5FXy61jP8j320TZG 37ANN4ATwZOGuje0wRuokydHW7/eOvO48ze4/ljXu8y26/UDDnKVfoxxTsOT RhnXEfa38t5wf+ACU8Td8ID7tHebbXAWOMB48U2wDr47rYPjLuvgmmh91ZI8 /ij3Bl52cdXCjcaJ8VbrDb+ZaOzH6TO8A540tWrhLlOMBfGeLD7y+P1VC3eh 3s81h1QtnGmS+zPZOu8F3Jb3o+Eo3GHe79a+j8whr5HH1yzJM57VBvn/cbE8 aZ2YPmX9bvsfEzv5v+E1T/9tHLmVvIuf5P3n9IGc/IK4yOkNT0FPE9Or9pE7 vxf7E9p7zbi8oF1wTHfO4/ZPF8cb4gDXm3+rkzc/q1q4xYfaI1+/I8b3rMM1 3rcOvg+sN/wGTrCceYW3teEuH1QtvIdxzzr2LbF+7Npg+kJM4P7Evhli/NT9 f0lczCe3f6ld8njDTb627zXnfeL63zruIX1ofPrB+IL1R+vMb2XeZT65+hft zbTecJGZVQsX+a1q4TQ/2TeX+RGs2PujauE6P4u3Mk83vIQ682czN4Opjfm6 4SVtzKXzmmtZe27zdMMzyN9gndM83XAd1mDt2c33+I9t7gZ3lfP3iNgXNyc2 /GDh0sIz2jmnvfVZ3P/24lvIemX+551q+F/jx8KOa3hM29LCPxYRdwfrzIdP wBfwGw6xZGnhEEsZC9qWcP/mc2w734OOvg0LiHNO/evg2h1dgzeG78urvQPf eYaej743QjYI2TJkw5LfxXPV4VvJ30gaLgI3GeqbSd5qeAl9I0OOcy5rwz8a nrKS48C1in1bhWxU8pt1k5J8nTPVpeQ3HG9MH/vHe9d407ijW5ccR33zku8d /RuX/G7hPm1akitzpnYsyW0OiPIW+ooPm5XkqcR4/ZJckDifFHKCa3QWJ3lm PefM49pdxMmaXcVwhTGEz6yjb/iFfxuLrau4Gd/buBM3fjvaXpz4tLXrsAdw BXhCJ/FThiPhFzyEXLaFfp3lnJ5V7hNz4RUIHIN5rLOdY4jBpsaK36mI14FR Hl6Sn8FtdinJCQ+q8jexf1nevSQPPKRKbsYYeBm/iTHn4Co5GGPgd/TBCWnb tWSZMfwmtqt2+C0Lu4dGee+S/PPwKufDP+FuCFwX7tatZPmwKn8X6uZ4eBe8 l9+p9iw5F5vMwSb9/LbGGkdEed+S4ynz+xv1I6vkt0eV5Lj7l+R8xOSyktwP zsmeH+i+D3PMUcaQcX/9Tlbyjhzk2AMcf6X9cC7OGf1wmUOIjWfv8JK/P/Lb 4zElefZ+VdpkzKVVntNDHM+ZgKOyJ8xhfHexDRX3odrEDvoIy930GT6P35T5 TmDPd/JsYIvvB8Yy70Tnsp8D3V/sg7WH95o7tbp+H2sMOePcty7GhfjAN4+3 jF/o470jZ5R8F+BbrN9LbLTDw26vcg3KU517mnZoO9UxB9vOmqdr83bfHOqd tXGGa7F+bzH0sZ3xJ1sf793iO4r7BZ/nHva0/UzLOziGO44+xzLfFP2MLWOo H+s9ZQw2dnQM/cSZ76uDvZvct53dn/7u+zau28t7STt3dqq473dPz3Xeztrk jva3nfEDtH+wZ6qvOLkf3JN93HPuMPeXXDDCfeTe8914gvd9kNj5VuX37sO8 04zhbqLPt7ynY/ZQmHOibw5jsM295xu1udOUD/fd4G53Fx/fwNxr+i9yTDfL eymDxdPd8bwP3BPuC+/oEG0e4bvC7/O8LZcYB94K8O6pnU7OPco4DDQ+3HXe hNO0T5m7MMq4DfBtGW77AZZ72j/Sc0h8+V4b5lzeEerHOYZ+xl+hTe4Kd6aH b84o2zd0zGqucaXtYB8m/stt543az/Ye4hnlupNDfi35HuxWJ7cgV80T5Y9K nmXuHXeON6pttH9S8gzeHrJNnft+a5S3qPO8bRa6XZ3n8PNo37rO/WfsIo7/ Iurb1hn3rUIvVGecsdFeO6yzaZ1rfRqyeZ335jbnMP6zKG9Z5zmdL/THJe/c 2JCudd7TW0piAs9z+omPv4TcXfKdfiFk9zrj+iDnvc58zj+dSp37MD5kuzrP ySah56/zThGnLnXGaqPQc9f5brD+vGIA18Z1YhtXcj5z74jyDnWebXgqvw3x HTMz5PeSb/kCdfq/ixhfLIlz4TrjS2wXrDMWxGGPKE8rmVv2jPKrJflL6zr9 wZc/XQP7i9a5H+zF1SF/lHyf54j2NnXmgykhy9aZA34LmaXO3LpY6C9L3sul ovx1yTdm+Sg/UPJdfzPk3pJ8Z+doH22ZGI8pcsGQ9evMSeuEfqokd1szyk+U 5DvXhsxeZ85aIvRXJd+MTlF+pCRf6xzlx0ryuJWi/FBJrge/X974socd3MeX jBexWiv0jJK8at0ov16SOz6uXWyuHvq1khzxUddm3WVCX+e9WzXK00tyR+I3 mzF8xf1gL2YNfU3Je828u5xb1bkHxP9J/cf3Z4hHnZyXuL5sbCeG3FcyV94U eoM6eeYKoVesM38/bUyJ58PGhZgsF/oG575tfInt+6HfK8n3J4VMLZk3fyR+ db4HN7g2c/GjrtMX/F6lTt+/C/m2JP/ijGxf5znhvC/umQfvnGImrqvVGdub vUvcowlR3qnON/xGMYGHb50N6+TNnIUd6zwP7OEade4j85Z07rtRf6ckd78z 5J6S7//Kde5NV88pZ5TzyVleus7z/E1IxzrfUc7F2nWejf8DDrTysA== "]], Polygon[CompressedData[" 1:eJwtlFlvTlEUhs93VhPzPM9qJoSWojVVVdE0TdM0IlJVRSmqRGnSxL9w70LE TE0JiSnmKcQUN+bhB6DGmJ43a108ed/37LO/s/faa3/ZdU2VW9MkSZZBFuwj vIHFMDX8Q5gTz0otSU6iDZkkWYEuJbehG8nL0bPwMuY28qyE8RP4Dfgq9AUc gjUZ/825jB9G68il6Ht4AvNgCTyHV1AMCyCb98+gW3i/Bh1NHmX+rVryDzgP m7VG+AO/YRXjjehbeKTvQgkUMvcouo7xcvQgfNS+YAb8hX+pz63hnf3oF60f WsnFzD+Or8dXokXkY+h6cgU6njwO9pDryWX4U+gm8kp0PvkIupZchj6Gr1pP rPEpfFf9oiblvH9a++P9ajQlZ8zX1kSehr+JzoSF0IXc1by2qnknfGfYRq4l 98D3NN+71mD4LPPfWk3uhe9tvhfVqBu+u/ladWb98P3Nz1Y16IPva14L1aAd vQDb9fswxryGqp2e3YE8nhWhs2ESfgLk4ndCBX6iuW+BazDZvBfyoAD/Ovay Cx1LvoQ2ww64BbnmtZgFN9Sb5MKo0T19l7wIzYdf8CD131IPTWfsdszVGkeQ R5r3ns5gGH64+VnoTPeiP+WhOuO9ezV6ST18Lnq0Id55BpXMb019z1Pw12Nv WuNn+JR6b6vn8hm/H2st0B7Id6N22sNlqOLZbrQt473UHrVXT6k276L3m6PX VeOW6PlB+MHmd1t3egB+oPnd1h0egh9q3rv6D9C3ruBzUv+m/IfU725O7O1A rEV7vBhnpLPRnVBvf0v9bqjHOzLWwbz31KP/AWP2gZQ= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGm4llMU/erdR1FEg1KRQqUUEYnM80xmKkkjzeRW0k1UciU0XA0qRQmJ Ukm4KmMhKUNJmSpjIhIha1nrPt0f69n7PfM5e521z/fVbtejZffSuVxuaalc LoOtlnK5eyOXexMf3wFtgFuAZig7HpgB/2ngOqAT8DVwPdAZ2Ai0AroAXwFL gFnAZqA1cDPwA3AD0BX4E+gI3Ar8BLQFugG/AO2AHsA24CagJ/A70B7oBfwB dAB6Az8DNwLdgfuAIcBQ4AvgNeAZ4GSs/SRgHfwXgP7AnUBf4DagD9DP9nZg DpDndnfYZ9tn3Z7fq4DngNnAwBJtW2CeE4G18PNdNgBYBsz3vMuBBe73LvCi 274ELAQGAR8A7wDz3L+v11jg/Q3zmXd2DMpjznLAg/AfAIb7PEbasl9Z1JcB 7of/MDDCbccCD7lslMvYr7BEWTX0qwpMhD8eGON+E2zZdhIwzvUrgKU+z8ku Y9t9MUYFYDT8gM2Ae+FPBR71GDVRVgOYYv6QU+QWeXgUMA1+c9hjgOnw3wde zcRNcpLcJEdZ95jHnuaxuRZym3xsbS6RU+QW+Um+k/fkFflIXpKT5Bd5Rk6S m+QoOUlukqPkMHlNfpPb5CY5Sg7OMm9W+1zIm2LOMa7P2+dZ5Zkz/V03wN9z 7fdzHblDLg1xfIebFwX+/jsT58izXIhz5FmpEOfIs7Xuf1cmzq7zGLwr6zNx jHPne7559rkOxq3AbRjPQvOkmHPkELk20msaYS495LpR/iZnR7kP68ilMebC VMdvuPuMcB25NC7bzT9+Vwr5ha6b5DHGO+b8Jn8nu8/DbjvWsenrs2e7aSXm JoeeyMQn8uvaTByc7jbURfJyUSY+Pun2J4Q4+nImPZ3juDVC2RHAK/CLPCb5 utQ8IAcWZ9Itruv1TLqTZ87MdpvZ5hH9T4CV/mafWW77KfCGx33DHCJ/avgO 8SzezqSJ5NJb2W69ybc/yLFf4Db55tFA1y102Rr35xyNfR6co6n3ynNp4vOY 7n2/6vOsHIrfI/A/ynSfi7zvxSX2tMT74tm85nLO08z7mePzyvOe3vSZz/Xa uK/53jP3Ugv93st235NlLq+D8tol7sxy75dtP/YYh6L+EN+lZa6b7xiscFy4 3g8dK2oNtayVY7XabVd6z0U+y3d9nkU+B57TKsf4Oe/7S58Hc81nsIOBzzPd X/pD7fNuMvex7m5gQ6Z7fbfr6FN7OQa1gDowxD7HYF6hnpL739jvbMvvTt7P RrfdZL+L7Sa3Py409z2ej9oxzDFhnptnMN+RU9RT6iw19vtMen2LLb+p3dRZ 6jW1mvr8ayaNbuN2PO8dmfS9t9v+6HF+9HdXz8H+1HZq/tZMur8lk6Z389hs 08NlW9y3rb+5lm8dX67tN6+/p8/4H+97e6ac0ct2u9t08Drb2+5wG/bb5b7t 3Ydnw/zyl/fV0d8dXEafb6p/3Z9nfnDomz7fGKVDXNvsdTNe1Iedme7KNu+B +2Xer+5cXODY8f1QEfZw39kUyuVc52Ghb/os28PtiTLOGSPtP2hb1j7fMPv4 bUBUcG5g/V5uQ5RzXhllf7Rteft722fbeqFv+nt6Lq6lbuibfqHn4l64pyr2 9wu9Vzhm/dA3fZZVdBuikvPfBPsTbSvb59nVcO6p4DHZj/X7uw1R1Tlssv0p ttXsH2CfbRuEvulX8Vwcs7HfTo97zpr2D7TPcagx1C5qW8NQHctZf5Db8/1A faS2Uf+oh9RIvh8Ote7xXVHHOrnLsWfcqfdHOBcybvV8/oxtfZ8h993A68/M H8aCXGvo9ZA7dV3O8Zg7n/K+Glvzj7TPNfObuZl5mbmG/gyXNXHOPtr+DLc5 ukROYv5+wmd4pHMY8xfLZ8I/NvQ9022beo+0rOO+qfnU+z6+f9Q+3rviHNzP 62nmNWxwm/W27LPe4zf3XA3wu+zwpLO/hPxJuuM94fcI3emKKOsUyoEfwrYP 5c8tsN+HNO872I0hDV0D+1FIxzfAfhbS629gvwjpQlWM2SWUS1vCvy+k0dND c3Pey2GrJ+UOrvcEr5k5hG/K4lxEn7mJuYZ5i/XbYH8O6WkNjLEkVM/3J/MW 89QUnl8oH653HcuZ09hmncdn+TDP08Jz7YD9LaTppTH+vyFduzm0N+6rEWyv kGYNA1aH3hCvwx6cFJ/6sPWS+H4YbLeQnl4PWzspvrTzHetD4NdJukOnwN7p OzaE9yb0pmmB8jt8h5vD7xe6x+Xhl03KAS9yr6F30juw7UJvnzKoz5Lyxz8o +zOUo/ZD2d5JeeBG8jr0FjmKfAnp3THw+4Q08Tj4eSFdK85/zGn8D6By0vvp QNilofPuz/gm3d2zyNlQ7jgb9utQ7juH3Anl2dNhJ4feCTNhrzI3nidPQ2+j Wbxzobz/Auzc0HtnEWzb0PvoXNifQjn3PO41lJdnw54RejtfAPt3KGddBLtH Ug69GH65pFxZKSnGjO9U2OGhtyDP+FGfcyvYR0LvuQthSyXl6FWOH2N3Puwf offGmbCfht45d8FOCOnA7bBNkzRvErAw9J5bwLMJvRXvZ9vQm7I7bN0kHc2H Py6kP71hGydpYa0kXpKTt8E2SdLXAcBJSdp5GexFSVrZF2iWlKsGAqcm6fsg YHxI93inHw/d62mheDAWT8JeGdKop2CfDmlv19AeuP4ZsFeEtHdwiK88Q45d 6PHHhmLPuE8kf0Nvfp7TpUlnNTo0H+fivsd474zPAUkx2mp+8sy5v0u8x32S Ysz4Us8+CWka73ou6b7vCvGD3OgQ0kdqI+9Q8j2KpHgz1rxDFXyPhoZ4Ro5R n05L0ijeuZ2+dythPwj97/VXiB9cZ+eQLlOTeaf38r0+G7Yg9C47HX7NJL36 OHRneF/I67We9wbYhknvNmrA2yEdWA67LPRf12LYa0K/w96HXRH6nVAEe3Xo t2AV3t2kd95NIU3hONd6HVxDa/jnJOX7dSF+k9tfhu487ztzxeehfNGRMQ/l N+aNr0K5ow3seUnvjOs4TpJu75l0P3k3qStnJGnL76G7zXv9snMJc3LLUO4h P38I6Qu1hbq+PcSLrSGNoD5cnMRXcvWCJI6Sn+T+heY/c+DmUB5k/vkllIM2 hbSMOvZ/zgzlTa79IK//P7e64gU= "]], Polygon[CompressedData[" 1:eJwtlWmw11MYx//d8xxrJVQjKlLd65ZExO1ma4zdoCiy7226SdZsXRpvbGV/ gUIYxlpZohUlW4lSISkmWYeQpv3zne958Znn+5zf+Z31eZ7T4bIR/RqqKpVK IwS0yJXK7rAxVSqj4EEaj8Rvg+0C46EXfitsLdwDnfG30nc/9GR4HV7D/xKe Qz8P76LHwP3og+m/M7Ya7oNu+FnjqB88BQvouwQmoCfCLPQgeBrdDz5GfwGT 0M+Gx1Zb33AfffsIfkf/BsOktUbmOh9/LHolnIM+E+ail8Fa9C/wa/I/w9DP wHz0W3BueA6NvRzeRF8KC9GLYR36H/gTPRweQB/KnM2wNXAc+jzsXXxboT2g j4X30avhf/QG+AvdAD+j18DQ5DU9hD6GMdphu8IuOksYybcN0J+2s/F7YF/Q mrEnZN+N9jwA2x+/J/ZF/EvCe9DaFyWv5Y3w3WlNfdCvhr8t1ZkqDvi/CXYa /q7optlzXwu7oZtna8XQj/T7CdYm72EzegusQ4+AcejDFXPYA2AH9I6wPnlP GR1wTXLb8egL6Pc5el/sJtgYPiuN+ST6CRiInglN6F8F/yaP8YfuJhwLV8M0 9J3hvoq5Cn23hdemfz7RecNs9A/wt+4m/K/ueJ7WnZ087+C3QQ9FT02OmT74 AzUH+lvoiX8T/h7QAg7UWWnfEOXuxmCnJ9+h7qoROyP5zk7DPxUm4bfHPyI7 J2vLmN3xr1NcwE5wWPYZ62ybQw/8G4puCifhX4jtAPuL7DPW2W5mjqPRt4fn aqv1wVm0dQ+vYSz2vRIfytFDsmO+pqzhG7hKMcW3D+BEvs/Ffzt5zgH4D5dY rcPW4Y/GtoaWyk38vtCtnEF9dk3qUvp0wm/AbuPbFjgqO0eUG3vDGfinw0vJ Y7TX3rJzXznYNTumFctV2qNyKzs3dWet0bNpn4LepHqB/2jJnXrFCVwc/lc1 rjffby1z7yWLv0/23TfCELXjz0uOEdWeVtljqwbpbO/QmSaf8UHZNbO6xEh1 ds3sXPZci38KdArn5GpYBUOSc64l3wbjT06eczH6SuU0+kOYjr47fDeqYZ+h L4eX0XPge/RKWJM8pmqBavSSUi9WoL+Dwcl9Fio34RX0KngcfS98nZyzM5Q7 4VqqtmXo5aoRyWNMCdcc1Zqv4JESI3XlTOZjPw3notb4WPhO6kvOKFcXhOdW zmoti8K1VWvS2zQ1PLbeqJElB5V7eoMGwZ7ZZ6Mzu77kjHJFNXwmzAq/FYrp muwcUu6oBuguLsJ2DN/Jydk1QrVBbYr9jtm5pRy4MVwTVAtUA28Jx5BiR2/u FVpr+C50Z0t1luG3UGd2c8kZ5YreZMXqnPDbpJgdFa4JqgV6c28L57RyWW/I 8JJDyh294evx/wu/XXqDtgNDigqp "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHfY12UVxn+g3/PkyDJnmQO3KKiIhiPMTM3MkWkxAmWUIrJkBMgQQZYM UTJMSs2BgJoiQxMBV24zNmIKaCY5QkkFyez+XOd+r/f9477O833285z7Puf5 /Zp07nVhz8a1Wm1uo1ptO9kVVa12YtRqc2Qr2edl7xK2U/k52TuFRio/K/tH YZrKXUqt9obKfxDaCO2EovoXZO8WtglthfbCbqp/VXa2MFToJfQWhtn2Eb6q Pi/L3ivsoPKLsvcIO6n8kuwM4WsqvyI7U9hV5b/KzhL+ITwj3C78T/iLcIew h/rcL3uf0EO4RLhU6Cv8UviV0NN1nbwvbGfvC9tF6Oe+lwkDhMuFbsIQj2fc 1V6D78+EjkJ34UqXWXu4z3qV0N/zMdegBn0H2zLXVtcP9Dj20lW4xnNwjjXC fOF6YYzHs5fRnpfvEe7LOa61Zf2RtpxprMdxpge85ihhnOvw2yTPxRwTfB72 Mt7tw7yPYW6b6HbGLBMeFK4TJnuOkf4e6L0uFf7kdZcLD/kcrwuPev21wiOe e6XwsPe+Spjr/a4W5nlfjwl/9pr/FhYKNwi3CjcLvxWaiidHCL9R+SPhQ+E2 YYlwk/u8JizwuRcJU4SpwjT3oYyO5tgPh2q+Q4Qb7Sv8Buemez7GNVd7M+GW Kvk+wz5GQ3Af/sFruNyhSl6jP/iEFtElvEIf93oN9Ip24TR6mul1GQOv4BNa RBNwDz2hIfiNntAovNxSJY+vqJI7I+xL1uvhuYgTaL2T1+vptjot8f15lTz+ tffHXfTxnvr6m7X7+Zu1+/u7i/v29r7hyECvAVcHezz7Gl7V67ZXVa+lQfYl cait9zTE4+ti0FCvM9zfvVw3pKrXzAivDV/h52Lz4CaPgxd13MeO99qjPYa9 jPE3a4/1N3uf6PGsMcnf347kN5zeJ5JbcJ24Sqwl5n4zUlcPea/jPC/7ney5 vhWppTlVveZp3ztSb2jywkiOdfS5x3uu/SK1RHyBy3Ac3jeJ1CGaPDBSn2js 8Sr1RZ+DVb+pSs0dEKkfdPtElbpCe2gOHTDv0/YTPto/Mq4t8P3SB83sG6nz eR6Phn9XpYamu99TVeakdh4z3f3g+gDfAedER3D5p5FcR19wb7b7wslZroPb aKqTAec7G+i0i8egqW7+RstdXXe/60fbV/BhT637tyrj3QUqnx8Zd6nDjnK/ B13mTE/a72PsT+ZDRzO937HmyBj7b67rptgvxKIJvlc4OtE+mWCuPOq6yfbn JPebb05ssI+n2C+L7Lv3hH/Zt+PtH9bfKLzpfu8Lb9vPP9ZZ35Jd53HrGnBi if1G+2Kv826Vbw3O8EGVMbGD11nltbjvl3zn+PZZ+5cY+VwDHz7fwIcv2IfE zpd9l/jzRfuQe33Fd3uC9ny89QZHXrXPW6juHfutpcrHWVetZL9j7eHDpfYj nCLOXmYuLLOf8edy+3Shz0ue+p7mONU6xLcr7N9TVHdygxix0r5urbrvWif4 bbV98n3VndZAV2vsW/z8un19ptrPsLZ/IHu6dUtsIPd0NF9eM2dOinw3sqcf yp4V9bl6rbm0Xvi7z7LIfIA/xLSTPJb2f7oP98h9PuA7WO96xm3w2HXmB9x4 3PxYaG7BsdvMnY1e89Mq49ANbiO/kw/gK/xbYk7Brds9F/1vNI8aR/KIuk2u /0+V7076b67y3VA3N+VfCBdr3EWR+Y+5P3H/syP3xH6IP8Rfcu1Ftt19js2e 83zPQf4hPpID2tgntUi+s+bHDdYl75K74f72kdz/r8e293m/sG+Jf19Wqalt 7kf8RCsR9Vr5SqQ+jo58u/BuQQe7R8Y5dLNj1Gtx56jX1i5Rr6evR+qAt9lB kRzkPsgZdfdOvsHXvMmOcO45LPJdRftU96EdPX0jUpeHuE/duKbeJ3WHu/5H kXMxT12MID5M85hbzIl15th5kWemnvmOchk0cw6b7vLvbZu7jD3GZeyxLhP/ WzgHkKNbOVYQD4gzdTGDeEKOONJnYf/k7paOM+dGtlHPeGIOcYW3wQmOV4xn HeLPrarrWlJPxAxiCHHlUNUdUlKXB8seVHJfh8seVvI9cqBsk5JzN5U9omRO Pkr2yJLvhQNk9y+5x+ayzUrm85Nlx3uvw/F5pBZaq36C7xcdoAd4OEu2W+S7 cYt1gjZYr7Xj2wzZRZGcf0b2afOefsxFvDpG8x9d8g0yEz5G6pZxD3ss75kz Hfc6qu8lwk/0vVi4KVLr9G3r/vNkF0Rq/QnZUdZzK40bY25xX6c4Po+T7VQy JrWUPa7ku6mF7LEl1x8tXFoynrWXbVcyT97MfRTHUJU7l3zjtJFtK5yjuvlC m0hd3+Gzd6jqYwpx4CnZJyPvkpxATqnLn+QLcgj+I9/QTn4gX5BDlsoOiXyD XCP7ZmS8QE/nmnvczSO+H/IDuYM8Qz4gL5ATiPHEPuIenCAnsc4maxI94gNy EHkGn5GHmI84zVnRJPHwAnMDLZ5nPW51G/XXc/8l2+EEMZH2sbInltw7fr42 0tdbfVfE3gc8D/GW9wQxjLfBo5G+x+8TZU8tqek1worIuMkcF/vOp8ouiYz7 d0X6D9/x38ktkfkNLU6P1ON1so9F3sdI2fsj7wytDLNe9kOLwl6cUzi/pJ8G s27Jux6EjkreI5y6MpJXV8seXzLm7iy7U8n/UXaQ3bFkXP5Q+CDyf6D3hPcj 88fQSB7Agcmyy32WvrJnlXwHXCWcUTIG9RFOLxnLegunlYxl/YVzSnKuyEbJ /3UG4oeSvBkAr0pydBfaS8b3Xdljyf+T9pK93Pe8SfajyFy1Rfgs8j+kz4Vt kTlpe/WvSuahL4Vayfw0W7gv8s3xBT6M/M8JzXWP1F0/2bNLxsrNwseR/3U1 Vl2jkv9dEXv2Lsk19tXTe9tTdXuU/C+KeNbL/NxNdbuXzJ2fCJ9G5td9iLsl 88MVkXGQ/vBrlTlG7OC9hbbWYiNz+XrZDZFvgmXCzyJ/MxB7ekTGH7izr/lD zFgdGTc2yr4b+Z/f3cI9kW+QKXAn8m2xUvbnkW+DN7ibyP/b3pZ9K/I/wnfg bOSbib53uj9xa7I583+Qm9M2 "]], Polygon[CompressedData[" 1:eJwtlmWwVlUUhj8unLUBSQkBJS4gICBKI42UlxKxL2JgzRhgY3fXjN2ggAiK Iraio8IoSDs6NikNIiGISPi8vufHM+tde+9zzv72XvEVjx47YkxRoVCYAOXg +ygUboHxWaEwB95DPwm70H/A7+hRMBddBvs1NEiFwmHYGYyNDD+jtaPgC/Rt 8HLmd3yKfgx2oLfDITx7If4SdHXsN9CUsXrYdxj7G3seLEBXwD4PX8Ju/BLs R/AxbMU/C6agH4ed6DWwAX02zEOXxX4IH8DIzM+U4Vvn4y9CV9a+4RztAz/D dmL+Huw2/KbYfTAaFmrv2FfgXvgMfzXMRTfimTrYt/EfxvbAb4M9Bi6Dt2BD 5mcmoSeHz7oU6rL2cKidn+dMvQc2oTfDdPRTegd6HUxEPwCf626gN8++EZ5r l3/rWVie+Zvj0d1Y0wo7FJ6Bu2A9c8vgznxM+iTdAbwaPsstMAHdM/m3DIPn dLewKvM3XszPRGexAuahG7O+LnYm/gzsC+G5jfAguivzLcN7qoa+CLuUuRrY wL8Auxi/qs4ZXgvftWJombTiEH0AbtVZwF+ZY640+Yx0NkPyvT6d/z7t+T50 Z9Y0wzaHy8N71N50plPRpfAVei28hO6SvHYQjNUc7GVuHCxAt2D+COWBzhC9 WHGH7os9Bf8GbH8YAKfiL1UMMz8QOwL/+vDafoqZ5DHpRlBHuQaXZP6m9vYr 7M+8x9no2+Egeg/UT44pxZJy9GT0EuVN5j20Td6T9lIMR6OHw/HohnAiepFy hvV9sKfh3xje6wnQPnlMujFcqnxLjh2d8VD0QvT76F7Y3+AXxUjmPQ9j/rrw XG8YnHyGOrse4b2MC39be2qV/IzWNoAh6GvDa3vCUclj0vXhzXDNKMljfEW4 Rqk26YwUO6ugkMfQduyfinl0hGvBtrD+vybw7rIwDV2Fsd2KNZiCXx57LuwK 6/mZa8VBqBSuGf9i/1EMoyuGa9vesFaNK/DuA+ipmZ9RLtRgrGaeEzXRh8L0 zGOqXeWS96IaplpaRWvCNXU1diVMzPwb18NamIRfFK7l68JaNf1H7A/hWrQP fkL/HNaqmTejv4PZmXuEautm7SFcY6vy7cqqQZn3UBFdHl7HrxbO5QrJWjm9 BbsJJmd+x3xophqIfVf3o1gP59Zw7HHJNUy1qwV8Cx2SY++TzLG1PFwLFGOq lXqHnlXNVK61S4515Zxy4djk3FJOKFfbJMe+cvZ09Mjk2rES/wnstHAtUI1R brROjkXliO6mNtQK35F6kXqeep16ku5iTbh36k5qsfZixWnmZxRLe8K9TjGl WNkf7jWKGeVSy+TYVk4pVndCymN2DHZOOPdVI3S2W8O9TGes2CpK7nWKMd1V 9eRaqzvTXVVK7sW6M8V6Sq69innFzsZwL1UMdU/uCeoFraFP8n8C1Zv22HrJ PUm9SD3tDrgJmsAs1nRMvkPdncaOVC2BruEYGIS+BtsNukNJcowoNjTWPHmN 5lRzZ4VrtGqzevaZyXeouxsc7qVnJGv11LvDPV69Xf8p1Avuz2NLPUG96aH8 t6lH9U3u8ertHbENVSuhQ7jnq9c/opgK9/xe+I9i2+Zj/fCvDD/bKfzsFeGz 0juKk9doTj1TZ3G14j58JgPwr8J2hi7QP7nHqrdqrEnyGs3pP9TA5P9U+i+l d+wI1yjVJsXMf5NFRDs= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0+dXzQEYwPF7EUIiW0YpRSGbrGzKrKzXjtf6X8yysjISMrNlZY+Msskm IzMzPp28+J7P8zz3d+6559x7o+dnZSwMBgKBq4pT7RyiUIUpQUvV2Qtd9M2c ylVMY1dFqdo+has5ldHqpu/2GK5hLN9wOi+zBwsZz13sGaz7HL25m724h314 jf25j/24nwNYysE8wEE8yCG8yWQe4lAe5jDeYgqPcRSPczRvcyyLOYYnOI53 OYlnOJElrM/JOmt+qVdaqef6og+q0gTPjNdp8x3NNq9gnk5qjv0Un+mpyjTP rZz1GNRIjVCO20Yd0XD7UT5Rha5rrtuNQN0X+BdFGmjOZo3+6Lf6uiVpuXmD 7muv3uurlumxXuiRPmu9fumTXuud3irD+6xjOn8ykQmaqbX2GfxR+7tid01T rv2eruijdqpSO/RQl9TJc9vZkQWM5EV24Da2Yz7b8wLbcitbcwvb8DwfaLPO aZNmuWdqiTmCrRSulmqhxe7NGKZQNVUTLXJvxMZqoIYKUXMt+P+/+QfOWGlF "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{346, 345, 349, 773, 764, 765, 763, 767, 766, 672, 769, 770, 768, 772, 771, 673, 775, 776, 774, 778, 777, 674, 735, 826, 718, 762, 697, 760, 696, 761, 671, 348, 347, 346}], Line[CompressedData[" 1:eJwl0llTT2EAx/ETl0RZIiQpUmRvI2tEZQ3l2rXh2hvoDfQKDIpQtJkJ/8i+ NKKyZyzZIlmKKzM+z7j4zPf8nqtzzjxpBw5XHIqLoihGzZgoOmi0awtpY6Po u87RVHbSbO/QYZ2tKWynyd6m33SWzqSc83aZDukMTaaUc/ZW/arTdRpbaLRL 9Ism6VQ202Bv0kGdopMp5qy9UT/rJE1kA2fs9fpJE3Qi6zhtr9WPOkHjWUO9 XaQfdLyOYzWn7Jd0s89+oK85xm77ovbTynHmOkvnh+ef/OIEGc4u6QijPKLS 2UN9w1tizHN2WduoZb6dyW/Pf+ilyu7Rdwxwhb3OOvQCdVTYfXqVBZ6zyWIX 752dZI/nTn3FE/bbj3WRXtOFel1z9Kku0Ru6WG/qUn2my/WWLtPbukKfa67e 0ZV6V/P0hRboPc3X+1qoXboq3ClSw50L9y/8T9LD/wv/JvwPMsM3kUV2eM/w zuE9SSGev+7xEP10EaORo9RQzZG4/3f+H9CTX4A= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VTVlEcwOGDL2CChcFSXaDyIUzAjncDKvkS5ogzfgNFjPEDuLBrZYuj Yi9ExUbEbrExMDHQ546LZ37nnHs29z/3DklUxxcnhRAamB0LYRa7kkNYzwaW c4RlHGUj9exhDAepYx8H2M9ornGdy1zlCqNo5CLnSXCBci6xghtU0EQlzayk f0oIc7WfztMMXaWDdb4O0gWaqat1Kws5zCJOsJZ1FJLj3lCGcdY+T4t0gmYx nAb7iVqsk3QEIzlnn60lWs0SdrKD3WxjO2uIuxfXLcykgDOcZqBnA5hhnc8p TlLFXcaxl1qOU8YhSjlGDZvZxFhauMVN7nCb8dznAfd4xMPo/XnCUx7znGfk 8oKXtPKaV9F8eMs73vCetmhefOQTH/hMezQ3vvKNL/zgezRHfvKLDv7wm8n8 JZhHp3bRJKZYJ2sKMbqSylTn3bUH3ehFT6Y5T9fepNGXPkx3vtS3XUUlFZST oIxSSiimiELmxP7/E/8Ao5dtbw== "]], Line[CompressedData[" 1:eJwl0bkuBEAAx+ER9iXcm6Ba932f0bitXUGnR9z3VShEFosliEIhFr0HwIP5 RPHLN/9kMs1E55cmF3NCCMuK54VwnBvCiU6VUloZ3etJz3pRVjH33/nxp0Yj IYxpRBMa1+Pfm0o4J/mmW03bd3zQkabsBLO6UdLO8F6HittTfNWQ87B6dGB3 cZ/dvGYn99jOXXbwim3cYQu32co0m7nFRm6yiZds4AbruM56XrCWa6zmKmt4 ziquMMZlVjLFCi6yjAss5xkH+cko51jKH5awWAOatfv5zSIWqk8zdi+/WMD8 yP///QJy2zCw "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1369, 1368, 1474, 1622, 1747, 1660, 1746, 1661, 1748, 1679, 1890, 1680, 1700, 1699, 1623, 1750, 1751, 1749, 1753, 1752, 1624, 1718, 1719, 1717, 1721, 1720, 1625, 1715, 1726, 1703, 1725, 1681, 1724, 1682, 1702, 1701, 1714, 1516, 1476, 1369}], Line[CompressedData[" 1:eJwl0slTj3EAx/HvT34l2WXLWhFZCnEnRFlKloOyZc2holSYIeMPcMD/YL05 5cAQCiXXyi5Zs2fL8jIOr3k/n+9zeOaZ+SaXlBeWRUII9VRHQyjlArtiQxgR F8JIhpHIcHY6H6JDGchgBrHDeYIOoB/9iWe781iNI4YofdnmPKJ9+O056B8t oZdffOcnP9jKV77xmR6+sIWPfOIdH3jPZt7SzSve8JpNvOAlnXTxnI085RmP eMJjirnPA9rooJ0NnOYMJ7jMYeo5whVOcpEiHlLHVa5Rxm5G+e/RNHi+Tjml nGXPv+97d0rPc44FdhJjGcN4xjGBG94v1ArN1olM4qa9SPfqYk0mhUZ7ie7T HE1lMk32Uq3UZTqFNG7ZuVqleTqVady2l+t+XaHpTOeOvVKrdZXOYCbNdr7W aIHOIoMWe7XWaqFmMpu79ho9oGt1DnNptdfpQV2vWczjnj1fD+lRLrnPxzkW /X/H/wKAMV4d "]], Line[{1473, 1430, 1434, 1435, 1436, 1437, 1585, 1678, 1855, 1677, 1853, 1676, 1854, 1695, 1852, 1675, 1850, 1674, 1851, 1694, 1849, 1672, 1847, 1671, 1848, 1693, 1723, 1669, 1846, 1668, 1729, 1690, 1709, 1667, 1687, 1666, 1887, 1886, 1643, 1885, 1686, 1696, 1689, 1891, 1688, 1710, 1644, 1888, 1670, 1697, 1692, 1892, 1691, 1711, 1645, 1889, 1673, 1698, 1882, 1883, 1879, 1881, 1880, 1712, 1713, 1515, 1473}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlnc81e/7x1GSyiilZGREQmmYGS8jpayMSENZoT6loUnKSjuJygplpCLZ yRYh41jncIZzjmMfDk6hlPqd3/f+5/14Pu73+/G+7vu6rtfrUvDwd/AW4OPj 8+Pn4/v/p1eSpQVBcRyN5qJqRx/PotR8/4FtPuMYejMd1j0yg6XW90efloxj XZfDrhyNGeT2fzmzVXgCGTe7TOYDf0BiRPD4z0MTELlWV3Wp+zsuvHXLT0ye wEXdnwUWlt+hyDqe93BwAhTWnozsai76DMXHv6hxcH1l78rVplyoaYzEGfhz MB/oJjhdNw2B9ULJY3kc2CX++PTNbhrnHq+70zTDAZHVF6rXNwW362vWCClP 4qcvZ3vx4ync2p6n3Ok4ieJwC1t98ylYqXHy1EMn8cZFutJsehLCogeTRXIn sfpm5NY3xyfxRcC++BJtEreiNuiea+fA+FkC5eDgJHb80SFxSzhg+iSp75iY hO3iK5qPUjg4uKTu1bKZSbQoHVxkdoeDite3DOl/eN9H7l8reo6Dx3uzAzMX JlHFbet4fYaDzJ/Duf5/JzGiUftN/zQHK+5oUnX/TeK5/hoBgi8H/u7Okwk8 dlwTo5HgwwHf/9YUTv5vccBlDyzfwWOuU0jcdm8OZBvuSXrxOHJ2nPLHkwOt 1Yc2N/B4nHni5lN3DtoNVHU1+KfwIXPJCbXjHLAz5hHF4/VubTeqj3JQ76UZ cUVwCkcECssLd3Pw4mtB11HhKbzqvZ5crcGB9hJdDRORKdQ/tRsbWM3BNr1j dxVWTkFFjuq9YWECYiWsU89Vp0Bw35pocXYCC8EWwdWYQhlpkv9J/zjuar54 keQ8BaPnyuJE13EIk0RDNp/hxW/NchnvZGOuv23KI4wXX1aPfc4BNsQtf/9y TJuCUDt1zbbHY9jXdFYn8MsU/obc8BPpHEUma7M0gTUF5uLdP1nSo9B/NEva JzCN2Xe+ZUf8RtAn6+NK3zCNfoN7Pcqfh/HkAmd/pOE0rEyF8n+LD2ODa++3 JI9p1PqX345QH8KGqa4/lbenUZIZlvDVehCblmeyO95MIz6I/4hFwACC3XfM ljZMw+kiNzk2lYUNJlVDR4amwSf3K+5EVz/eaU6siePnwoB96/exFf1oiUmL PrieC0WJam/HfUwEu4mkjupxsTUt4kizIQNdWo26w/ZcLMgUJ8pe7IORQ0vD ghcXyfFrfL8FU3GM+cOacZ6L3Q58JwITyfhGatmy9yoX37rUx42be+Bu4OfL vcLFgU2ifk6iJFQsdFLfneMiruVzhbRnNxKeiy3hP8YF+4SGwuTRTjxcftn4 thEXc+9O75e60g43w9krOqu4eE168FXFuw2ezQ4KppRp7FiomjaWb0Zmotcl kbhp7E57IWIt3whhHbkru6ynobSWPqXrXQ9hFXv1hJkpPD8VUDE8UYu7Xj6b NJ9NQVAxoEG3pBp8d/PXr9OcgrqUkqd8aCVO64VT14dNwmO/IF1auAyPH4g2 azZwcFe6Js857BOMBmgrs4U4uOJhM15qUgy3rtRVLLMJtClZOgwYFOJxXeWc eOA4vqpQcv398zHrEdh2/CMbpOcDJ6WJH5H7dJEjfWgMP12WRTBO5YL6kSUR LjMGxdhjYsscckBedjj0i9Io1sTPECMS3mG7rmvN8JYRfMwWXayxNwuGNZKZ Kw2HceJ9rELl3kxMrn+XstVuCOKrd0/lPUmHQjDSfvkM4g/T6bOodBp82DFH BCIHIGl0qH0v5RXqagu25b9nYWdU4HKpb6kgPL33w7m3H2IykWmHB1LQlrNr QVaEx/VqvlSFFOQMVmcrWjKheFst6/bfl6AMC3MnzRl4HUPY0P8iCU6lazXE EvqQ+HRkuuVxIuzYbcMujVRIJOT/PElKgDdHlSW4igKt8cbRjycTUP/wu6FR QC/evo/xWKmbAEE3349CkyR81WKEUMwT8PK4Y71bCBHvTjVylt5LgIkqKUFZ sBupdAuREKlExCqFjJm97kTln/aLlycS0W1zpdv0cAcsQ24dlhJ6id1XLn4t VG1HtWSAjqJfMpwPJIkbixCg2d0iT7+fgsaNB9PFRVqhfP9Jp/mDVORyVkqk qTQj7Z5GoPmnV7hNoHR3eDVBfM9umuzaNBhliNTQFBrQkcJts/XKQKyU+yBb th51otbzpVuz8EhT8s5jxy/YIC+a2HDvPWznpy5TymvwzitSZpdlLrwUc7WP HKrGoaTjDfnZefAUbl23bEMVqo4/zT4fUYi0YzdvPJWpQHQ8Y/YDowQRIZzQ XIsy6MxLPWO2l4EvXrv9QX4pQvQcU/mLqvDf+32G1BOf4D9jfqjpRC0kLw4T OixLkJHuRo49X4/uOZbrap9iKMY9/ETgNOLi0fmI6o4iLAlg0Ws3tmBi5AHl rVsRXB9cehPmSMBPWmblVR6vd/9O+s+JgIQtlu/28DjfM13c+SAB44lnXq7m 8dnD9x3gTMCi6bVx/ceKELI8PUnVhYB5zp6EXB4vN+JOrzxEgLNLdo41j9nv ue8HXAkQz1ZijBwtwh+bigfFRwgwk3qjGcHjBlvHJ/eOESC37UBFxqEi2NdS 0wj+BBhXPRTocipCevhKMeVQ3r686cwK+yL0lt9riIwhIPXX3sf2NrzzDKY3 /swgIHoH9cJ1tSJoGmyQOOPRDq2Ut89XrShCea1Yoq1SB7yXVDn/my7EP5rP xgujHbC1Gi9XoRbCduHoxrSCTuxd7PzIv6kQK4TWZ74J70K09ibszi/k1bXC FTF1InQkuZ/n3hUipKbKY+NREihZkyM1PF6xQs2s4mkPVnxo2/o0txDpGh2Z NU968bAuZjj/UyFmYn9xC6PJcPQ5/0f4ayHir8qtno+lYG1pk3VgTyFEm1gn x+KpWJ7om82ZKAQnwFiflkLDwr5t4BctgotM05WIoT6MTPy1mdpZBMJ7LfuP axggnfWse3Kcl489s7USxQw4pcZ/K48qwsfW39H1zkwsj+8rtf1ahL27DCfU fzBh0eEgrbCoGPrFc7PZj/pR8LdqLeFAMW4sKmjJMGXB/Ut7QER6MbTkNAR/ cFgItDp5bCV/CT60ib6gxA5AeUnHr72eJTgjf0aqSnsQNc4ZB/ibS6C/fUWz QusgiAt1G6UMPuFpgW/5S7chvOI4cbbXfcLZSJv4sIUhsC3jBrNdSiGdalAy EzUM1/aHH7y4pSgZ3dI0sG4Ekg7ilTtjP6NAiVjrFzuC8qYPvxdQBlupxaer lozi12jjyXfcMhyOeN1lcmYUHswn1arZ5TgV9FnCtXEUNQnC/GaPKqCb36Tt v2kMEWN7ctKuVcI+aUhP7toYHH9ufv5atwpjcuXj5pVjKNDvGI4ursJqh1if qnme7gZbrU41rEboPpbwOQ02XupLGrfXV6OyT2fxpoM8f490i1Z1rsELCyHN nEts1OWJEVKlavEvT+S3VCwbdlXJXNGhWljd5VYaZrF5/u2be/vzFzxq+7PM L5+NQ9ZDKorxdbi/18OxvoCN7nTJ4d8h9WjmjPo65rAx5SQoqHnxK76K/ase TWEjgOarQjzTAMulrUamD9nYp20WtexCI1Y3lf34fpEN/cZUd6HKJkww9nZR bNjQa966onh9MwIPHjEul2fDYlzCZ0dEC+TK7s5oTIyBv+dGVvjfVtzU230l MX8MS8WFVzmZE/BRy+HWiYAxBF1VO1Et2g4Euj4t0hyDRU2I/HlmOy5dNk1p HByFxEaanOHnDuxRWPyj8NkofKKf27yr74Thn94okx2jWG/H/8aO0oW78i26 OfUj4Abrld782Q3ar++e/E4j2FVWdd9dlgRVEr1YhzyMe0MLRwYse1BXZp++ z3UYuw7bWpZe64WuOoWg1z6EbUlcMYccMi47CJxYZjaE13O/yVbSVJiq2n6v jhpEQd7kBedIGh66f4341T0Anattn9yz+mAjRO0s0BvAn2Odd9Lq6OBLyrQi xLIglaM0lfsfA4f8XPnyJ/oh8VLoVNsUA0bP2OVMk35UdpR5CB1iwsslYyb3 AxNPY8Reun5igh2iOqUpw8Tcfaf97RL9sHHn9+y7zYDLI73vl0/2w3jTHv8E Bh0DP+wsD+b2gxseP2ma14dbKoS64Kl+kJuyjNaF07BCPH7jahUWPJ05Puku VLwNXjhjdYAFN/vD2+5vpYBi9i/gylkWnm3R/n1zGRnjNc+Oi91iwevzb+m9 Ez0ItJnrKAxnQa35bX5mDwn0F3W7EcRCRUHnLY9WIjR88thFJ1mY2rlx6yZC N+y1byqGWbGw4mquJUe4G6WfK1p+bWIh9pzfsQybLvBzuLpX//RjS/BIvlBi JzLzkowCGvsh2XU7sGCmAwsjXIPrj/sR+T15r+6RDpzc7GSlZtePF8UXfARa 2nEjep1XP18/+MOO61wwasfyKNWYl++ZoLJifo6XE/CE5rv+giMTLpZ+r7Nt CciyksDlWQYmXfhvp9PbkK5s0FL7jAG1Q8bH683aQFeR2XZGm4EsN7mJ9PpW 7OqxaOBm0LH0Zv0O8dOteP53a7LClz5skjvQI725FTXhA69FBmnYOCArvntV K6TtC5u1VtCwafKWyJxyKyQOv7L8YsCrlwWr7ATPVphUpXx/fomCzyRfwydN rUgMfPLW8DMZD0vUhzYfbkNzXXvRDxEyguvF1hGWEtBZdD1QyK0XQy5y7KAI Xp9k/Ry4WNWDlDWyJzyk2rFCWs15RLsHTFXnzddq20EUObfyWwUJS1tG3f4L 7cC1mIX3u4+QMOgZ7XHXqRMD6ucf7VtOgsi00qZ83S78cWdZveLlbf04g3p4 czeWiYV956YRUSMz1HxThQjro0kFX+4TUa7AWTTtRMImzCV53SPilAB3h8Od Hkjsab/TkEzEPvfLdt6lvVhrxZRubCLirXOdZuMAGS8jyuZVlpEwpu2z14Kf ipd6md6PeL71umpsRGIZDQZv2i7HVZGQ8unwJcV5Gg6O+8u3a/Xglf6uGZOW PvCRh6Syi3sQUvos0egWHc+yQtnRe3uxKnNh+eWlDLRmf3fo6u/FwbvjGSJg YBXfLpPsSDK+s7SEKz0ZcF5yKt9Ui4KAGYXfdZcZWKM83ZgwREG60v6ID1cZ 2OlYc+BtIhV6D2tN951iID1SSMfEiYYDVKGAaGsGbE6I6a9Z3gdX8/9ef5Bn 4KOSTv+27j5s3Pel400lHU4HPqo3P6cjy0FWck6eDs1r3tYZmxhItgustfLj zaGHBfcuC2JA2VJuWWsiDduuVRnbfGUgyaK8saaSikav4cIaISY+jWzrjiDy +m/44L8hAyZsdqWyQwbJeDwSq3/egwm7LVHzytO9OPbs5T3v60xUaubnEhd4 fj+ULasQxsS4zSmfHIkeFJ1UYswEMZGSGlIQs4OEnkvOG+V9mRDcOm+6xY2I brvXWVYWTLSvvVZQH9cNjRXCno/XMBH0byh8/0gXtjunxXmQGRiOsvXfbt2F ZLMYzQexDARaiF++8bUTUNa/K7KPgbnqu9c+HenE0mVntSQ5dAQubo5YEO7E CHMoyM+cjtTrGpqzHR0Yz1tIPv6sD7nkLXwTRR0IODk6vZRNg1to8lxbYQec L2tbyFnQoLex9aZOWwdivT/EjWdSIfD25bCHQCccHhio7ZOkImhdqpaJbSeu TD4tfxBNwaynJffox06Ej9l/jpGj4FLOgPvA5i48Lkq63MDrpzbnM/wvCrvQ Oxilp3CajIhLoQXf7Lsha2jSsXMLGSNPttNO/u5GNLmkcpcAGTMxUY7jOUR8 Cdd+sGekF0dbzlzfFUrCowyT1ypDvXA9v7rB36UHEUtdJgbne8FdtTv0tGov Gj4wY3WUyeD3vBqmNtmL7O22d294krG71q9fNIMMhaBFNZR8MgyZa/5TsKTA 3MKuWHs1BeevfO2zaKeA3OXqoh9K4fnij5BjxlQ8W24v5/mbgpt564udH1Lh yGc5KnCDChvZXTLq5VQMzpvAdDENQX7OLW0tVMQ/c2tUfkTDqMgvO5kqKvYb 7y9JXsvTfenUB+9jqRB7L1caldSHsBD9C9UHqJhbn7CYIkNH2b7ut4o/KLhK zS64EE2H9ecLyQJhFPzUCg648JsOcvqdJYN8FGyU0QqIU2OgtyYtJvI8GWMX D28Yc2AgWPukilVtLwYVCmm3zzLQEHFctUy0F3R019/j1ftz84LhZ649uDF0 s+45j/e88Ok6kUWCmWLDJSbvfXm7UTuzRSQIdK0r3erEAF2qsY11mojAgiI2 YQsDbpV3Ug8Md8Nny4/fCrx4krgb5xhXu3Hs79I01ft0rD0eL6Sh1I23DF9n K206Pijlfb03y8v/uqzmTkofFllszY4hdUH986Hh0Ft9+LnK1fdmfRfq3gcc EVPug9JO2ya72i5cTRuQk/lGQ/alguvkFh4fSTm4LYAGh1Mqr74MdqHvW8pc rgIN3L6ch+HLuqE9dE+O2kWFC1TdPAy6cYNpZJ4ZTMWIjIIrI7Ib3dTeqhQt 3r1ruYt9YHXDbzCXteYnBf7xhhb21kS8uvNmw3gjL9/bbLKmK4iI1I7rS39L wTaDiHMX9EiYFtow4htPwZNdUSKhhSSsS16eKRhHwbn1P6ILdvTgySrFur/p vLx1/YpMed+DWJJcRVQVBS1qHOeFDb3QWSeg/WmYVz/O/8lW3+3FUwHDOaP1 VDhpXH5tMNyLW9cjivKdqZBxUI/W0CHjtJrFi/AEKlbIF8Z3BpBB3nyqaXaI ims7nOZ+pZKR+lz+0E5dXr11FXrPlJGxc5YZZHOPBpuKEav0OjJ6zqz+uL+P hl8N6pKnefvUCqsU9e19gH/fP7lXZJhcr1Oe5d2/svzZMwJXybi2lP3ViMjT dXX9TGve/xV+H6w0UKTDufOkbONALxhy2z6Ge9AR5NF9s+x2L4KNM2fEYukI qPQJfs8739LwQQm7EjoKxQ7STPJ7MOjwuNH0Gx3GnTOxyhY9oJSER4a30JEs uDucw5tPjBUT4lx4Ou0wUiy5cJ4Ek8UhGUmpdKQJsip8JUgokA+VaL9ER9g1 2aKxSiIUi36UTRnxdJ3ondRyjYjm6bUXvf/w/N7ZVIVpRsT82p4T/fl9EKwS KzgvQ0SG0K95M58+9PfsemYuxJt/Mv9K+Un1QWoLw/vJIiKcwhrjZVtoGNvq KymykgiZwYz9M7w5zM+0KJS1lQiFjnX6BuY0TH2ZulNzhIgGzSAiQ5gGlzDF 1f2xRIRom5dcJFMhYnr9pTiFCFMrd/91RVR4Bf3Jq1UlYc9IeNrdJCoqiorz NYJ4enWvQbothorn/Z//7M4hIVxb9JVOFBWRDzs3fmSQ8H8++HOD "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlnc8Fd7/x4mGrIpIhFIaSpkl8mpIGRVCKQ0ZEUVGKiNFUaGIkL1SZBb1 yYhkZo/LHe6w50XhXqR+9/d9/3Mez8fjfd7nnPd5r83XnE1sl3FxcXlyc3H9 /7pfrfLo2OgsvsX0bLd8MQd25Zve2DVzaN5wyeDUzCy6NfN5Z4/NYfEpYSBk xyx83CmeJ1zmENUYUfnLdwYPUg2EBeLmoE1NSA+m/EbWyrhGrZo5bLI+/qn4 8G+01yQ7tk/PQeXrSO105i9cubrvXJ0kC0LrIZe38ReS3qTkix9noTwt1PHx i2moGilJfLzMAvfJNfv9Dk5D4svt7JV3Wfiv4qO09tAUQsoePxMJYyH09eWY 95FTkK1hfut4z4JY0Bn/nONTYHTVGul9Z8H9YdSCG3MS6S8mDtg1saBQ1n1Y InkSze77VZxJLNRX6n5zN53EwWv2f6wHWXjxutrm0apJCAqGGOv8YqHWX91I u5SJExJdbTlzLHQsv8FtmMyEkuxfR7FFFo6nUE7efsyE2r0rEl7/WLAIcJjN dmDC9xFXaCmHlyIeya22Z4Lrf8KG3f+EifUzxU5HOXxxgdD23YaJ+6OdhAAO +4fxmcpYMyGZpJcwyMtGsLjMavcTTLycqHU5zseGHFQqaApMbJJK0U8WZONx 0LjetTVMGPj1KrElOfyg10mgaAL/yknMg9s59jKt2crOE3ivJhBpr8zGk4Mi ZRM7JqDo70TzO8TGBW2nMo2+cVx20wvyP8lGU9QVEdGEcbT0/yLpXmZD4E3R K/v14+i20THKc2Oj8HBPa2foGLg/SSWWBrGxzUbhvxOrx2Av4urqFM8GU/qP U1bgKLr6Fu2/5rMRoZB9ZHLFKMzMA8LLutlwz+Gyeyo4gtKzxOpdf9lQPmga Ub1xGI2Oin9GN8/DTJe19YjiEOIYvXdHj81j9Ve/5qQTg8iyEieL2MzDWtPb LsZuANRR5y3Gj+bxjlevc+RZP2S/ZmfHZcwjsUXagutmH8ivDkSJ182jPvDo fcq5Xpim/93zdHAe+Q4BQvsMGNC/4jHx+d88TORvO1Xp0pHfmyFwQ3QBf6bS 5+YjqMjKNdxjt3UBDkG+WZEfKJjvi93jvncBFc6JHfYdJCzVZNG01Rfwc6cx Rd2yG9v7KaR7yguQdmje/ZWXgEesrX/z5BZQ6SETP97UjqyJkoFnfAu4vcFw vL+4FVVH20Nb+uZR27g32SamGczxjc/cC+ax4+EnsVu8DTAU9qBFe3DeszMs jO9rLc5abi8K3zMPY3ZdgPfXKpRKXzKXbmVjQUZR53nJd5gmjNeH2LPhJnbU /IJ4OaTXO/7ZPMtCOP/CAe2QYmydsdWq9Wfh1i8P5graZ9hc+zdM3MICpcLY 0kezEEdPynrtLpvj5PUJaTdGAQYTpgaums/h2uYY+Zb6PBxQtfy3bnwWNsvW 8I32ZmPWKu4N4cEsXA8pHf2RkImZfxUOautmUdyYlJVdmgFPNismO3UG8Wb8 zS2q6ZgfYTkW8c8gJDLik5dGCg691L3HcPuNIlOjRU23RFSssbnG0/MLaldu C2ocjYVy2wfh+hO/ECqlujK8NAojZaTJ8k/TSJeO1DleG4H9SYbBZluncWX8 4w1h/XB0dVxdSXk9heOTJQvVii+x5aOsziuBKXQphnh7/wyG568b+4z5J7HI /cHD7vtTcCeG/PHgZYK8cXJLikIgpqsupo7mjGPjgZm9H44HgMfJkHzJbgwu RJK48fBDHLkgFN6waxQSs5J068kHcCXERa37Mwzx4s5dDiXeWOLtp/wmDiHd s/POOrH7qFAbdJb7MYgEnFYX6/VEtcF86cmvA0iWff2hkf8OTj0IesJT0o/S 9Sr6Y4/c4bcmuYVZ2weNZ8Rwv4Nu4HbS3pxK78UNQ41e7HCF2niQGC+ZgQID IV9r6du4eltRVqePDnHNSdoefRdIiQSYuk3ToHT1RluorjP28Ac+8lWjYhtV 7a277i34zH7lcwijoGBx2TehZzfh9qv08RIPGepmxj4f+G5iMLUhY10wEeYH 8vLcvjmh/6tS98dPXRCxNn3r+t4JOVzU1LP/OlF7t5f77YATWi8VWIc7dGCZ TF6RsMtNbHJ0090/3YbAn+3lJ07cwmAthagY0YqWG3ZCsk7OqKZqnH1q1AKR km6HIhcXvCs7f2v6ZBOIY6T1M2a38Q/pysd0fkLw05C2xrArfLKcyiVDa5FV edTEs9cd54J56nKlq2H+fPWtC2aeuOfRWjbPrET3Pu8pbfP7kLxpnJ3BrsBf labB2X8+KGKY3lqtXo4INYdRhsZDdI4M+wjolEJ39/PYMxP+aJPTSbnt+R88 VhfM8EQGIeaoltGiShHK5JwDe1NC4W88H1Rx/SOelqfbTx1+hfSuyp9XePLR sq9lpfrlaBw3eK94+Hc21siW+XMvS4SvdULsI9Us2Kk9uC9ZmQJN/zRrcsM7 BF9sunSu7C3ufEgLUV2XgcglbddpTr70tfZkmlWn40nflxdlF3OQ5fNCpzMm DVI5W+9JnMmHpmGNYcWzVHje6IzbVvwRUl26XvUVKcgtfG1p+7sQRi52Jy6v TkEHt9gTcfsvmA5845hsnYxdWhZBW6SLMfLOuLiqIQlmeu5SNzeWQed18HK+ 40l4JCE9S88rx4FD1VL2UYlQu+5239z7O8ISeke3P02A2fXgYl/eKuwmmI6u S4/H2YWtrSEdNXBc0A/iF47H/N1oZvOBevygiU8svIhD692XSz/qG9BhLmHX Lh8H780izqbPmrFk+102oi0WTt5t0mc1W7EUqpt6MjwWFIbhrxU1bZj/UWCx yjYWO+tzSpbsOmCZbmU0pxeLoMAiw/sSBJzukDupdTgW341SNrpKdePDkwqJ cYNYmD+yX1GwjwT+I0cTZhxjYXd97lyuMQWOmxM/nkuMxbLfsdus71Ohc0FH cddALIwLzrUUm9ARKVxY9korDkllHd2ldgw42h6raEqLw7vluXbBd3pxU/7E 7PZN8bBTP22S+qAP99Wr/Dpn43HmI7n6zcoB7LGT/KQwF8/xs9DktlUDGPFV HH/I4XABO5F8Dj90+Lujm8NucwwVLb4B/BR6fkORFQ/6wkOjGg4nnOvIC+Cw QvNxB5PVA+Bh03SV2PHYIyP6yp5/AOcteiZ7OFz16la2r8AAQr7/zHo2H4/K bpMvEYID8HytJ3qaKwG824Zabm4YAM2/nbZhZQLOip3vPCw3gJXRSfxjggn4 Y/etRFBxACflRyJ+iCag+KKub8eBATytf59LuJAAmdPtMdqpA4jecaWzNDUB rczWGmn+QTwnW6m7TCZA5ZPPyHmXQUwYr0rqP5SIY1GqpR1tg7B61Xl/3YtE 2LZ8oPkoD6HlqN5bJ4EkXIpfq95fM4TXez0CW0yTUC4YZ+BhNgyvzB87F14m QSuMvCGmfBh557odTzcnYU/0k7gc+REIFFX/qRFOxhm1O7lfA0fQMGF++JpJ MoR/iT6t6xvBuFnjSYmoZCRZLjAnDo5izFh23V9mMnZv/WculDSKrcnKxqL6 KTBXFR5f+XcUm+xKI8+/S4HtrTZTKbMxtG8Rqq/lS8Vsk4ZNRPoYZA3bt9jc SkWbQSNP2eQYVBYqhBUIqcjVi/YaVRnHup5Z8ySvNBxe/qcqLWwcZ3azzsbt SMdMmqmwGmc+UjTKKNjbkw434X0KlTsnIG/J7e8S8xbnjX3u3rCbQK+lHOXe pQzkDy4+UHszAUzyBjnufAdP56ojktUT2LjD8ovD0jtc6aloXBqdwKnIYYmF xfdI7bdfTxRk4npvs1XR8izklPG+f7qTM28OPdkzsvEDBp/VcfGCif+eDuzo 08yGYYbMKakzTORccy9asM9BK4Hi/PQCE/377yU/T8nFX8fFdcNWTKhg0dHL PQ/h8xvzS22ZYNymsAaN8iFv/Ae7OfOnit8HQuOBAtwLvrxF8xoTwv5W+9/v /oh6IQGBZxx7Rlf3rWbv/gQRYYstUZzznHPPZmkfLMS2FDW+qiNMRFoIha4w K0IhKWD0ihIT7pku/T0+n1G5qTcuWZqJsGczP9X7v6BYZnm15womxhaHHuRc /gpiggg7bmwCTW6/1RSZxdA3bszZ0zSBQy794mmvSpE/UbZWI2cCWnt0RJcZ fYPP57LYyucTsF4erC0dXg4pNW+FOo6/i1QM1NOCKjAR5R6njQnw0HZsCYz6 jlsXaQbKIhO40HSXwPpUCYmx2vF9/ePQzx276sX4gWHrQ6s2FYzjxuY+v7BN 1XAYTtre6T2OhVzXFwUONQhJ0rmpqjOOpHt3xE5V12K/t66IyKpxOH1rE6xU qcdWK3eibu0YHFmXBe8ub4BQxEEiwWMMw0+Ucn9ONWJ33pHNrpvGQHz1WG52 thmHT/Cs+FE2ihDL5yEeq1uR7R9pfcdiFLW8tmOZ8m0Ynb00ozwxgtHR/K84 0453zsfG0+6NQDsupPZzXQderz19cVXvMGSv//dXw5QASdk7Vo+1h+H7yjMm YLwLF3oiKt6FDqH6rdHOpy+IiLMgnJbm5OuU6GOJ0xpkKF/751C6ahCWqtev tvVTQAuzkY1WHoAx43rL3HMqLPJmVwoa9cP6tkzUpT4aMksa0wqf9YEW7jMx +5qOXL+MOnZpL7g8bJ7tVGFge6Z/c+UoAwPnr752qmTgAOVl3ql1DLwxUZEp 0+lF/Yii3CZ1OooUn2mIfOpFCP8CRSyPCkgHOtwT6kNVoVlSwAwFgpe1Nh0x 7oOSjFWsnTYZX2z21+e498HillvuQzoR+4Kcp1mP+0CUj25rCu6GEC0m+2VA H5bdZGSf1+2C9JCe2jmXPhDOHL+4fg0BAh5HxBL0+iA316LeMN6Bo8kOSvvW 9mFyveXZJWo72FGtvqdqe2HgaeXQONyG23piekkuvfiuxevE5m9DlPLKWAWB Xli30PY36LUi8cCwh2o8A9ZBkaEKqS1g68sf+XyQAemDDmXLFFvw8qu419oO Os4IfS3+HM3pd9H6W7Nv0LHKgg83/zTh3gsbRss/GgpjjoTOPmlC9Ps14pt2 0cC89Nnt7/4m/DzyQSnNnIrFd/dWyAo3oZJfoDg8sAeZ7ySaB/ib4K2/aLYQ SwHLfUajkKM/N02P7y0mY0/6DT/N1014qBawN2SEhKrW3J3R8s14aHFIu16e hG9cNcFNQ824s7jBlduDiMMjHsRzTi3wj9lqp9XZjQMEnl7qYgsaw+pLlU52 Y9lpw/jHya04bV4qatTUhZs9NVcELNvAuu9vUHu9C+yD34NIO9shKLo09Fq0 CwSHJqvpVR3gW2ZiH9xBwLVAZUrfXAfYmdSHphkEKO3K/9Ux1QmvpdPm3sEE 8IyK8/j+JuByYny+pz8B6/Oyvhxa7EKC8BO79OcE+M91Ke7lJeJLyjmqSRoB 8o+Lx0+sJuFKTRezrIEAC+4bTvf5yEj7dnmFFG8X9CQdNUlLZCTau5WE6XWB nxIcVNZHweqagIWdWV14rLyNsJnYA3OdvUGHN3WjLWhkckUBFQN5O5Joj7ox l6zpv+YkDcaPtFl7prvB8BQRTamlwf16Ppf5dSK4DnL7uUnQkXMlv+NePxEi Y1er1Y/RQfCdeVZwnQTbI4cGQq3oOHys9IHwFAmxD1dnRLnTIRdWnBfpTUYE V/JMqDcdLpHrlCHAifMSJePme3QYDmmYVJRRsNm68fwTezrGf+xiG7n2oPfF 3s72k3RIJL1crNtKhUaLZEejJB31L+R4frVTodijuUuniobrVVyx3j40OKm5 KsgeoqGBuy8zSJhjN6qIVpdMRcmtSPFdF+nwLrGQnJ7twZaKR/J3k+jI+tZn d06rB8wTAQ1tDDoeEmxtnjtSICTzMCxIgoEJPlGd7jAyZpy8te7pMmDWuVIn t4CEgHtCHgXXGbhrFsh62EqEaiY728ubgRPqRspfOH7z31602iqAgUi+Ay2p Yt0Yr+jU0HrAgLCzG9P1WBe6Ip11Dt5kQG7l6ZDNXpx/NamQFT3JQOF5239b kjqxx7mzQFKEgV0/d/ySpHSAkkPfb9hCB1WAyn1FuQNvo755rn/EeR8fnR2S 3o4GMf3wAwp0RNRStrzZ347Lr3ebHo2n4Y9ARnrDSBuOhEba+lKpKBV87NVe 0gbCF5O/dTJU2F8JZDbltYGv0mybsFcP9NW/BdpWtCFH7cWdgh4KJNLFPFij bRAWF37jr0+BJNuvPH53O45230mjV5KhNBCQIf24HXbxQ+6FBmRsuvn859Cv dnDbv9zxoI+EoDCz3yvdOyAbS3xqEkxCpeDC6V0rOsGfPKncr0tCuAW/RuTb TrhtdLFWFyZhsuaCXbMNAW6009+/TBBxSo9YuXJ3F2wKDaZFe4kQULpcrczq Qnn/R9/YMSKklgvdEaroxt+pX25n+Djxpul3yzyAiK0NZVunNEiceeqF6B9N EkjfyWe4vUm42zmw7xLnXmZhnR9bG0lwClm86HaHDEfZDZf89pChOP58ijVN xivLSG7uGDJiaNt23z9LQYDt3w4ZIQoKA2i612Mo0JGdU1qZQEHghXO7+6o5 dWieKtys0oMj5ee92E0UvAov9vX72QOGAlNL7CMFlq0D2iusqFDl11r47EHB BtIs9+EpKozTR6xUN1LwVy7eRNKDhvKea+WhaWR83O9/rGCMBmdRHtFTEmSU rTifv38HJ4/qY2eMfUgQCNiSttGIjtKkFx7/dRIRLVhcz+1Ah5Thu+q8w0TE S7zd+eUuHSWJZ51VM7uxpdSlYsyXjs9W1065re+GvvmpwyFedNTcznG7+5jT J1U+ZbfdooO3nbdKaomAi+OGdHULOjJiEpbmfQnwSVmM8NCkY8sR+cQrggSI tdw+GiBGx3KZtwb6mZ24Lar3iNpBw7Vt/mqRZp0YZ1fV/3Sl4cvYcP9ekU4c jZQ1/cFHw/ShnwZr+zvgLxXS0BRHxcOXWx3qajugX6CydViRiqsjjnGPKjoQ baFqNfq9B7lTdRd5mjqwms7N8LzYAzlZ9d7ciQ6ECJo8G1vgxGPc2h/PZTrh P6P++1QqBZXfjEo0r3VC8tJb0TPmFGi1/7i46lMnznuO9h9bT4HDhh8PetcR wOiLWLudQQavj2zADW8CSqpbheK+kqETbMe1OEGAr1V9xe9kMvyEVJ9+tulC 9/ah7cpRZPgqKLgk9nTB6lS0j+gbMoqy1cZSzbrR97gvSDyTwxccH5bXdaPL 4vBPn2oyLkZ8VBHdT4RPtsx9MyYZu2lX386/IYISuJPpvYuCWAmZiCfcJDjs +5tKcuXUHe/M53GmJGxyVsnlq6KgdsD/1GwYCdam1ba3pDn+qEuLU/pCgtyR lHfHvHtw4cKIPLGaBK/Bt+7vyT0Y5/c0PVNGwojFDeNCDSqWmKWR3xJJeLwp pifgFRUuvX0HeW+SQCb6XHWZoaJY4EGU1UYSPm0Zu3z1BA1v6O1SNR+J2Pv2 on9JEA27qq6dT9YmYnDbXH1JIQ3vnyemFZV3o/34Fc3oBs5/2zqLDKAbbvof VmdwOPd7Pnd/RRdSPOfsastpCKEujYS5dyH995+Jt5z9TTuM6yw4fanIpFB2 PoejXzZIuqnahc8s6ufwDBrOUMJ9uGW78H/5TN9H "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFl2k4ld3bxiMhKmPR01OGRFGGR9GgTlJCk4SEypzSoEEUTYZQSRQyj2Er mbchpMyS2d72aGPLPGWO8u7/p/f+so7rWNdx3utY61y/61oytjeNHbhXrFhx j2vFiv+NxGvXMxrMZ5A3X8pnFTSLSW2/nSHuM9D0U21QFJwFfaRurUzRDApe OmXvWj2DP7rctqHzM8iMvRLdIjENgXNGXQyNWThn1uos7Z6C57/i8SZPZjHi fumXxu5f+PI5fAulZhay64Xzb+pO4vHApXdH187h0uXNy77WExD3r7x9y2gO LbvZvDfExhH512j92dg5VAVEKWRtH8VF3sin5wfmYNSh5V1rPowi9SssJeV5 /Hz//LBR/CDygsamr96ch2SLhnzgUj/oTQ1a2R/mEXv++Yuzzj+xh2f6wJue eZgM/no9PsQGzEa548UWUKft4CD2oBdZMpLLNocWkJ3/92SdRA9ShcW3Wdsu QF38ma5TBQs2ZSPTuZ6c/D9b82w1ulBVE//jy+sFGHuqTNYt0qG8ZFCtGLuA Z+uLJFeRqSA2EBvikhfgfffK4PHaTjT7bl5qSlpA6lZa/cpmEgQUa/RcoxZw +XJzVO5YOw4653wJfrWAVmfT5KibbUjyyc5V5vzvLdshEVyt+JHf93C//QK2 D69cXEhqRqqDAFeG3gLCOz5WamY14rXRYIb/1gV48mf2Nh5owLF9tia03/Pg vvTFSHy4DvZS7R/LGuaxa+nxftWyGnxMFXpuHsGZd7SyEM6vQtaicArVeh6F AexW26YKFHpHWNDF5tH2peHNTNJX3DXqqP+WN4fz05PqHawyvLdRFyk8OYc5 78JzPPPFcJA0/lvUNQvR2TkuD98CmFY4FLQ5z8KxrFdi45M8eA1Ie4pNzUD0 1Yj2GmY22FYbbz29N4PSC8IRnoqZoBXJ/Cs5N41q1qm465ofkLT6w0CZ6zQk 5scWWppSsexqNj/RMQVa5tmnn/STEZk9Oly+ZwpXV6bxu1gkYGPih9V6Yb+Q 3rgv/zMpBisaEw/Jd05CJ/jAJcs1EYjfYb/74NwETEbrDzk+fQvrn1uVuDdP QMaR/+wrrmA8UHhIHH07hn7uqeGi0JfQffRA7/qKUUS6vTa+bO6PkMMG1Vsf DmPr09NLWty+2JA9tl1PcAgveb91brrghfa44yql6QPgT2stKNZ+ghcDK8Vf SPajnqKuKOPlCZeJJQXD2D6k/Twp1O58H08PaznzHGDj7b33drv53FA6lJ5S ldYDEbPQMwc67mK5rGWKvbsbzk3poq5ad1DSZxpQVdyFcI0Gv03/3IbDCUGx 0nI64Nh4RlHzFnYktyTEr6ViqGiH6PQ3F9h9XhXZuUzClYBiw4VcF6zJ3ljD PNkO99WyPiEKt7Dlz3TMkdEW3K2c5f1X8jbEz8T6XyE0wemF0uKa53ewHGd4 rmzuO5SnSzRin7uiRt5zvJJYC5/7PTujVNxhYVjKfZVShdbOitM87zwgu8bU Yn1IBVJvJp3WdXkMQ6F7v02ff4Ulb0r6HgkvaBq9/S3o9gVsTWOREC5fuCck CV1HCZot1GrcQ/1xcfsP4n67IlwcaLhmMv8SFoRUXX4KEZ8sj5RI7gzGO2mR 7lKffPQQPsQJLoXgdemOXotjeVC4WX3SelUofFRlNbylcvHZJXP1xtPhoEZr Vk8K5sAm9mMof3cETjkGrncTzMY58YBf7IpoHNovR577Nwv8H7WjMlbEI3fd BhU68xPOnwreH+iQALG0XQsm4RlQaVK/WDycCP3oCrOHth9hoqSjvj0sGTz6 FVo++ICSgthaLqcUvHvCDk7alY43cZHf0+3T0Df4ziBAMB0XC+aVXhDSIH9B Zl/eIAGhdz+Kqo+nISH36p+ttQTEVowFJ+8hYNXZB7s7UwiosKKVdnsSsH72 8Ru/JAJ6dxqUrfEhQDnjQ7xmPAH6zcKN+14QcC+EbTkQTcB/zSWjTiEEaO3m 6tOOIuDy/hgurjACIiP+9/3/mCrEe3sqnIDAXzs81GIIcLha7HqSk6cxE8mq 4+hWyKa3cb0hQFjfJncxlYBbAVFMYhABtaf2hKlkEiD6yzXs2ksC3homBDgQ CfhKciClO3P01q4SmfpLQFHxTc2dxwmwHFRwPqOfDtPoHIsJRQL4tgQVeoWk Y4zvdfesAAGCviLSAYx0XGUeNz8qlIYjQ81+5bYZ+Ie35d5quVTQK2P0bolm YVNq6+wL/RRUy+x75/E2G14XNK9Leb7H2ZGqMZn9ufAxk/0uVZaM0a8Tj2R5 8+FlYfR5cm0yllfpTJxZJOKhx4YNH32TcPbdlLtEaSEUjCm/9vEmQap9pmwm thjSofeNTgUlgvu4p1tEYgluFHhcjJNOhLHd0NH0ujJMp8md+FmUgAiZzZk9 z8tR7HAMUkYJIPJl6ScMfYXLDZ4f0ePx2KZoruVrVwFHzX8i+N7Fw2TNN/X7 s5Ug5r1jCxpwfOXZwzyWXI3KpwGnz3PHQ3bxBO/b67XQ9J0wOOoXh2rxh6+b jeuRa7uX2Twai8qIl6v9Dv4AfWwfn9ftWBCmrGVE1JqR9rHS57VsLFwJzCGd 4BaMnrkjqdAXg3XhbhX1K9s45/nfkmdRDE4p/LB849eOb7UPm1tjY5CUYTyi tImEgKwN8W5RMYhOKzmRdJ0Et31xdV/fxUB2N5uQUk7CagPl/sywGNyWcuxU EyejZjE5TDs0BvkSnwK1ncjwOJp0//bbGKxVOHipsYSM21V37uRxYvNyfTHT y52IjXu50zk8BsNSq3TjxSiY8CvY+zI6BvW1Wu7+Xym42hR6eW1yDOQoG8PY LlSIFgRVsjNiMD4U8SdAhobG2oYw/uIY3AmWyzvRRoN4nfVUWlcMbrl4KY09 YKD4YrGGq0gsQv/V+Wi7rQsd/I9clk7FQuvcgwIJJxZuy2n/bA+PhV7tW3Fn rW5M/Ge5Mno4Fqf9+Ni31vWg/fE33VmDONzh5jm7TO/B+TfekkE5cfB+uqt8 IaUXol4X98nLxKP+xsib5Qg2vr5WlLvuEg/ViC35X7z68GhlUBKrOh6z3EEL tEs/sVnK6s4JuQQoLa/iNVDtB/FXnb23fwJEVJR3n5rqh/XYVoFLUwnwt597 /zRtAC8EFay/2Cei4rHhpa+nB2Eb6H/vOT0R8ScoRoqDg2jqt+wvjU5CYLUH fw5xCG2nBv9scU7GgAF7r+PlYXywO9rtLPUeRplNIyXsYWCs/rYO4z1Gt8ZS g8+MYIVdvwchOQWnNl46YZc5gvADLsVE11T8HG7wzlge4dzPDjUfozRk247Y dOmOounko8DdHO7s+6zhY/xwFFlPNN9Mbk2HZsDIFb2MUbxsskgY/vcD/Bel uJntozjRP7a72uMj1G7Id6f9HUWi8hFNobEM/JBRTLTaPAaPdpnfznczsfGL E+/3/8bQureksdYvC1pElTQ37TFMmsZOylhn42WKSHXCsTFYq5aJpevmYPLq vfmTBmMg21fub/4vF3fXEvee1htDmbWU+WrlPGRuyls6hTFYjphWH72QD281 WyMB9TGcsVJ0/RxDxOYPGt9aZMfgEPWK/t9EAdYZzBM3CY0h1pv13cO0CANu 5WcxPwpfs6uh1xqL8VB1gfGAOYr1y4tbuy1LwHzNbpr/OorDJ2Wni/6WInne tbMtcRQCrqp9zg1fQJ9jPvN6PIobk+XbvlDK8fVJnYTd+VF8C7FW86R+haOl 8dJN1VHE2+0hjQ98g6bBZFkUzyhK9I+mR66qhH11o2trxwgkujPCFlSroGjW 2fs7aQQx7KWNPs7VOKbvYDV3YwTPdtU77u+vwUjEXZutyiMosPnn0Wr3OkSE MmO/DgzDRNZ/w90t33FB47NNWOwwVIMoJBa1AQyTY062p4dR2+Bp+yajEe4z yfm9v4fwxyxxj/HxZrxNybxGih+C9A3dKm3nFjRO1ScX7x5CEdVfbe5dK6ys pCd6ywfBfyfs2lxbG0r9h42njgyiROtJpOemDljLLtS/Kh9Ao4P9pxs3SHA5 /dnPXn0Aeupc8qbfyeC7Jk1WjuH028or1QxUKahSEf5Z+Ocn0iSPVvVHUtHN ML/BNvmJ2sRR+yP8dGw6lH89K7EPVVTBLMZdBoLUHoxp97OhGngjbLGRCfWd ++ZfK7JRpdltoSrMwpcvhQabHHsh9llpx44cFi6NiPx8HdmDI69XXW407IbY he09PbXdCHSYPWlK7samqmmiwS8WWMUx6u0mPZib2RBvKMlC4WiNolV5D0yL hazu3GfioPZY+D8SvSBYv+W7UUFHwfWL0l5mvXjyG/7HxWj470j4zoduvUjV 1sflYgocjKcW05714mRiq3yjcyc0ouIf+Xv34vQgoeqmIhnystvVV93ohdO4 vPe2hQ6QvY3M3PV6MeC5YjaC2o64ze+3fFrbi9uq56bVWtqg9WiHck9lDwJy s5YXmK0w9Hv/J+96DyzcGngiV7WCe/b40j8CPdhAUCsw0mtB1G16r150NzLq WYTZhGaIlERbBst3I2R7327+jc2YKk7TtP7Awqy/RZTTuSYcFJh2E9rFQt9F nilabiPOjQxafbbswvx74c5FvUb8WD0QXXSJibBdw+flhBthv07lftMVBgy6 3HXermuE7e6Bpr0P6Rhgd9R56DRiyIErITeahieFv3+vSGtE3pNnJl71VOzI tA7ap9MEUQG1x7f5Of3ngfX+a3mbsULlZcDPcxQ8dXDUyvZuhuNH3i5WUSfM nh1ILZZsQYPP63dCKp0YelVmIVXZAo27Kb3kAjI22cSRfX1aofvQKd3ahIyf gkpb9pi3wWP8jWY0DxkjhC3lfAfb8d1SscioloT6ShVfe9UOsAxs4qTiSFAf jHE9pEKCo5JN3wt/EiaXa15v1iBjyH3ZfNmbhJT316JVdTjrUE+ab3xNQnnl m6uXT1DgP6/98NAnEu6WplLenKXiwOvSrd40En4I+rBeGdNgxrxSXSXBqYOF 120uHqUjneltKmdLxpGzF+zNtzOQemZtaU4RGWbEunLteQYnv0PPY3MnDJcX RC7lMEFRFw549LITW9Itu1+YdOHms66pnFUUeFlrC+xhdKHXMkuUx5+Cmeo0 uYxtLBw6++HdGVEqnj+bq9E5zcJpseUzN5Ko8OX28TrvzEJWwLoNUvtpOBGs baT4gIWnRx5/2TVOg2/xdXc1DxYMn9+sGkql47BukNlzTj53bn2IqC0DHXob NXROsNCb3S58dBMTLgWfXvlvYeHfQGsN/hYmHs4Qli7UdCHfMKeq4UkXVj95 P62yvwt6Hz1qfouxcKTgVOj1d0xY7vxVNmHDQqfE6XMb+hg4LGK8j53JQjZJ U8FjHQNi3hlu5VMsPHrQcshFkY6TTKLvolI3Ji205LQP0vBeT1n60LluHHVS vHLwOBUCc0X6rne7YVvwU4FoToGPnumOXq9uJKhG/uq90omPwcfid3FiaVup b51eZOj4NRU53e6GeOXdvVdTSfj6RnXalqMn/X2z16eRDgxS6mZ51bphER7d xtLuwAF3RVnTFd1YHj50cn1KO9TwVSmwmoXA78fOrd3SjmvMOxUyviywEw2s 9qS34W75feH0gyzc2nOk4v3xNjgr3zmX3NuFVQI+rvKcfst/jcSrcL0uCP0T uKje0orfSs8lmalMNHgM260jtuLwM47pBZhYT5tx9MtuRZfNY9FkFwbynvP/ PlfRiogdlnppDDqUc/od/wxxOHzhmmD4WTqq2IN2hQocfSkK266dhodFDXuf u7dhb8jLhHQbzr5Z6oao0ttAng96n71ExSNW2IL0mXbou/Td8ObwdsvTdkep 4XZEPbK5xD5Bhd1G+zqLsA6kVu5PNxenIsDO8/fiKRJCzknqLExQUHLqc1i+ MBn58oWFT3oouOj6z28GiQyDK0HS5wYo+JrzXOJtdCfGFkQ8o7moIO4oKxux okDMtr9UbRcVSt4VBnJinPNTDNMrv0KFgvVOUlMxFZ/SmTzl+VQctCcorzai gRiofNVTiIaB5c67wU00LPBvvy/pSkONHbf0gAYdK+XkdEPYNByyy/pg6kOH v5WdZrUlHYljW0eGiHQ8WDuQebuTDuu9hQpujXS4ib7ZpWXOwMjc41S373To 2yIvp5MBu8hut5WZnHex1YsqGTcmrnvQBL5coeODh9bf0rVdON2wSZpvJR3E suTMtPAu0F2MFJse03AwprxVlp+FTxMXxFP7OOu24Csm7mNBLd40yH8/FbFy xDWtF1mgaYePp/pQQC2+X6Rwj4Xow78u69V3Yv3Zwu9Tj1gw0Oki+oh04vez CN219zkxByMa1mQ4J00/H7NnYTP75+7CzyRwZ+o45eiysNF7e3nddhLm1uxo 4JFgIUT/6qTLhw4kZTcainzrwuNWrXq2Xgd6rB6KO+t3IXj9g/Vef9rh6/Mg JpLFxOkBLgEzMoeHvscElO4xoSLaxz1b0Q7S2g5moyATfCkiWy9z4ri8bxmi yQx4bPO6ZNbRjhejEy9O6DDQ3dAxvnGhHTxPTduD+uj4uzBByNnVgVi+awPJ IXSY/VLL+3GrAxkan7J5DOm40zEhVVPRgTw+pVlrQToYZjnjZ+RISA9ZpU+k 0NAcHvKUP4gEOWKf7Lt8GvzyxBUOc5HRllLzyCCOBlsLSr2sOxlyjlT3b2E0 iJaNz2dMkKHuI+hMjKIhWMNbgsF5T1D6xiUjM2jY1tkRV0DtBF1O/gvhOw1U +zM/nPUoWDv4zpA9Q4Pp8dRHx9Mp2PvJgy+Uw5nAqHjZFI5PewuuvrFwoqPM 8UmltyEV+1MKHD5l0MFtVCfp4M2pW7tySobm6Qidua9r+IEK7nsFLUb6DOSm reHJ+0qFXsl4gFAkA7qeKr/jqqmgXPrebjjCwJ+a+/NPOP7evM1iNmU/E7Uv H2cZx1EROhFE5n/GxPirikXRe1SY7a//0dzAhPLfy0R5bSpi8g7dusfxX0Jf atWuZQruComqh3D4EVKj0jSbR0HM9T6h/ntd0L3cy3XHjoKkX6xp55gu7D84 L5y+hoJVpSbmJkUcHgscvf8ppxNeAUKeEvVdcPD+vT3kXCe0BP82uTZ1QT9h a5rlHzJE+vkXPeq68HGd8cDiezKes/7s8i7k6JNS+4+cJcNr4lGQMkc/NkLe pJuXjH939lQ4uHfBrUrB7OQ3Eo51qCVfP9yFlgR+XtWHJIietWRvXsmZj/S4 6qRHguvnvUuTJUwwe6f81KVI6KYvuL28zYTkeOAGE34STtF5JCPkmRB7drVV mJuEoP+iurJoDOwcGJfes4aE6uDGFJ23DCS73SaJyZNw2GxS6YExA7bDf6Rf cvh0pdJH4oAkA8/enmEK+5AQdu8de00/HRuqjzfkVJJg5tuR011GR1+wwyiX CBm5K/YdDE2kQ3bF2dYV9mT8erxBP4rj31+q9bZpxWSY149HL7+iY+4mRY3C uZ8/x8u/Xwun49ut7o8PHDl+e5l/ZfcHOrZp9s1E5ndCdjnG2LyOjks2ygaB S53YKng6xXKcjl3GxM3umhROXbF/oMDLgLKXp2buGQr87H5Y7hNloHyEqB18 gQLxwKd38rYwsDjswvfGiYL/A/Ce2LM= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdV3k8Vt33RRq8DSoiSpIMTTSQkJYhGZJQKUpSSZqUSi/RKG+TJpJCRaSS CpEiYyVk9jz3PsO9z2AsUjKURL/z/f11P+tzzz3nnr3XXnttre0Bbr5yMjIy 6bIyMv973rQ/W7pCRQjIWNZsvtoPBZm965YaCJGYr7zHdGc/Cuo29OvcFMKa G7ykI6sPOesWJaYOCqFyr509MqkP/DNX/lsZzGD7qY02Pzx60fR1j7VFP4MJ kXbtCzJ78Nwi9NH1QBY3vmv9GVDtgRK1Ptyyi8XO9C2Z5y/8wNCPFQGHIkT4 618SYtvWjYkGn8OqJojxOthNZZtbN/4mFGzme4jR5epk2vHxO7JyaxU8k8Uw r110ysXhO6rzbs81lZHgUfnI/Kx93xAf8DZLZ7MEAynixf94dSHMep6SYrYE kcEyj6y2fUWwV2KIdLwUP+IcSqIPdyKhqmLHUIgUMW+UcNe7A2v2qWmot0qx jJmTEOn1Ba8ebNo5am0T/sz1ORy65zMkDcf1LmU3YdmxUXsnh7cjcZrOv8UL m5G6WHFt9NE2uE0zPhiY2ow5bVnhT4+0YqjpR6GaWgvMl1buUT3ZAm+X36Zz z7WgPf1ewMSoZij0VCh4jWjFdUtOUc6xJuQV+dwqCmpFhu78qjl+UnzILTun zrYiMrw7b9w2CWrLE03nL2vDpx1lqmd8xKhcqCY2CGtD+MHE98fkRXAfdPE9 mN0G72mlGoNuDISTrDw0xW0YisTEV88EWBPXHnzqD8E5gfkzp/KxKiZzZb9C O8bMUvJpv0ojOOn3ozFj2rGSc9qrXYXCaePLAfv623DZy0FP+RkHVi4TGxU4 bbjT2LXOz70RZiNrimST22CQEKDLmdiApDmpMzJ2tOGClq2dKVsHJ3nrogzl NjgHjgxzLKxFkKV7PP2qFbq64TYz/Wsw/4XK4kXOrTgv0l6XE1qFQsOyiEVF LbisYHN2zM5K1NQvf9ep3YJ+g4k+xhHlyNr/hRk63oyr8R/VJZIyPElzbVap bIJPcsAD2aMfEPewPqJFqQkpxq4bFC3eY+6/k6YObpLisf9XapnJOww2KiW8 jpegSfZKePS2UkSNrr24SiLG9ONGh1bnlKD1JUf3rL4YMUc3JucZl0BGqzNL /zKLFQqP392tLMYTpyAnBb4QjjylYLP4YkzmDfOurxDA0Dh4TnlyMRa366pe zefh3u37sdebirFCpDSZ2UDj95iM+YKNJTCf8Hx71FgK9668mc+VLUXg54D+ BSwHlMkV4xBpKT4zXvtbfjSiurnjXVrNOzAJ9XoPpzfiZ1b+z11t78ErfDJi 6uYGVD/euUN+XhkmdN5yKUuvR8y9wDRO3Ec4uRhsn69cj2534yvDZhW4vFHh SkZkHaaUOno6KHzCgZ0s95VaHfJru9mfo6px8dXpM3de1WJtwUnfcrVamAx8 aMjYVQvZX1+NmFV1+Hz1hPoG3Vrk4JnTiQv1UB32+5bVUwN7Wea1RkEDQpNn 7H+bVYOu2zp3JstyEH9J8X7jpRq4CfIsdV24yPv6eeS44zUYGWTyb94jCtxj 7UeOn6qB+eF7T/ijeRihNqPUMq4GK8ONemz28LHiXd2mUxXk+/q1MRGfBNCJ z/E3VqrFh519Oy1jGcgz23bvsq3Fxgn+1E8FEUrqXjurnalFs33xf7ylYiRx wio4H2tRwfdVrhaJwRt+cFWf3FflJtfD8IQENd6tCg8C6+DFtZ15d6IUNjzd b/zGOtjkhXmOjZHCc6tjuj/qse725w2545vgpCBu7K+vR0PmQmP+9SYobmM+ Pw9swOH3nhrXh5ugUCvTVaXRiHmeo1bpr2/GYZ+FyRcaGjHeTmWGN6nvGVF6 E6ZGcXAnhU5Z9bYZiSfU3z3czIUb2/18VkMz4v75ZrRpPoX5sofSXLjN+KnJ l0CeRsyR3SeNPjZD97TF9ftKPKRsnTwrIbEZ+h7aoZjLh5gRfs72bSb3PdXf ZivAqKpDao9VmrFt44OP2juFcCtfnBGY0wTXvq86xmcYCMaWrmxZ1QQ1uR45 pQQWV+KMX2eWS+FRHOY656YIzz5pHzBeK4Wz+t/3L63FEGTkGxl8kmC+oFf/ QrYY0dRauQIrCTbo9Frc15JAbkbk2bEZYtybIfEOOyfBlrVZOvbTxBgtevjw vkgC1Y7RdX4jRHh/Vr3smoEUcuM73FDJQO1hwY/Wg1KsrPFaLrgmRKZKzMEt KVL8NVgXrrlRgCZJgy+vQgpjQcW8MVp8uOX4DJ4VS6E88CcgoZvGtlTfD9Ut UhiWVixqrqRwbOt0nXN8KT4eyImpzOTC6OJ7w8YCKU4m3Nul9pgDc6dFw85R Uuww8Rq9MaMRY0qVvb4SPbBLkVMprmqA09GBePlJUpy/l7nbXKYBb2vL683e SqAnef3a0bEeSavMrh71loDq6AtUTic82eAY935AjE7lKMOdc+rwZlHoNdcr YugG9hRlE31b3LVyppWmGL4jxw9YHazFmNUW8zZ4iaA76GYzzrwWCeFPnUaH sThkypv/TbMWIwZlrOYnMkhW0nZ6OKMWmd+s/un+JETQ4KPAxqW1eOLdeFh5 hBC906LCR+6uRem5iPMtJN/Xjoc2p2WQutxq+WzVLT5GihTvqSnVYTJ1SOPl Lx72qGqsDLpUB+WJChud9vLAlHh3ZajVw3Sd+2n3jzTemKdrKQ3WY+qyT2NV /WlUyWoPGr5oQHv3+iVrptG4FBZz0f1II9ydcxO7WQrb/HdLYMtBkPZER04W BX8bl5Y1M7ngtpXop96msFe5c+YNOQqOe9dYDlylEHflWyO/nYLIz4e3MoZC LufZl/c1NIZVbCZ1pVGgU8fn0Fk8/GerWryqlqxvr+fcuc7HNdlTn67J0Qhl 10zL9BUgZ3W+6K8VjdEfEpYOzRfi9KSSjDeRNPRTk/XSmoWwlemvEDTTOPRH L23NRQb2g66OM7bwIMguWf3ShIXbtbmBX8Q82L4+4bjwPYvtO69M9z3ER9/D zK3TF4mgdrrqRexYojOPx8UUhYiQ92Di1CPpAtQpNmeYJolQnvTyd/l6IaJX 7x/0fCTCuUZu7p5vQuScdkvCDRHiT4bbNJFzF1v4V1vtEMHL/6rUQ4fFn/37 JipoiOCpl3ahNZ/FXSUzq0PFLCStq0ti1oow89OtkyfdWOTHOow5LBBBPlXx P496BrYPQ/jWhmJsNvwiXWHDwHSAKTy0VwyjvxPDzqYKETtmS3p1GuFfw9tJ 0YwAmjNu3zhO+te4F3xh/xgBdH31s+aMlWBC+53o0QZ87JKOnlWlJ0FEZYjd DFcefj7wjH66VIJdK/YuPRFEQ6H7YesBEwlUnm07bp1EQUl6MnP2XAkc1prG OdBcOHn5XXRSlGCatdt5relcHHl5kvO7Q4w1b9apTjjFQXm12XSTQjEKF48M H9nbCB29laWLLorRu+LGiPfBjRg3pqjUwVmM9K8mguzJjbioGDnu7zgx+O0h j78WNiDbyHnmx6siHPu1o37hmQa8KHk1XVNWhF+zrln0ezRggperguYhFtZV 0o177RoQWbqpM0/KQFshO+6YYwN25fn/er6Jgfll86cF2xswOk3r1tE8IeR/ lzl4xDUgeX4eWzZPiNvTH713/N6AC7YRU1KfCvBX88MxH+9GmIcdzvniKkC+ p+/5l58akfbrXO+AvAAD908GjrLnYOuUtXYnP/DxIoTqnFPDwbpwJIhj+Pj5 c5xOujcXdvK8JbZBfATcdleX9nOx383ocNxOPp4Ui3U7rlO4pJxx664PH51n ZN5VLqCxImlcXj7hn/4jxbi4ThqV7onquWS/t36yjfZJPKjPOFk1ooboXoLL 88MOfPDatj3+MJXk2daX3cTwYVbwQLP5kABmkVnDIzwFWCq8Xz+CFsBiWf+k wHwB0hf4HIy1F0L04MCeJDkh4offB7cWCfE8pVX7FomD09Q/6WNXMNj9dtDQ 3kSIG5u6hmXyGVzO+V5dqSuE+Ytw7/fLWMzTGnW6fVCAb7d1etwyWDj7KavU 5JLzvJz0n80SgXWcq2a0TQC5II+Tvy6IsGZD7G6jPhKnc9L+c80ijLj+7pT5 cT4+vd5o/FtVjJQt2jYdfTxwOnyvjCZ9+r/Vxy0Ld/BQF2G7ScFRDB9xoVty FQ0tZ9lNwevEiDjUzZaY0Pjgse7afDcx9K+qPVF7SMGJa6G4aRXp61+Da32n E77GSy9fWyiG8SIN9fF3ueiPnBL8bpIYrxSWJo014OKGGsffhyvCvv3FkS3V HLyYejAtMVQE13LLGQlnOIgtvH4/Vk0EmbOfW546crBo7LPd716wyLbx2jNS n4P1Fy+veWLLYk586fLx0zhID+LPyhQwCPbOv5KkzcHZ7CqT0UEMrl0WRGlY cdD+Iln5lCqD7stRYesCObAJ6faILBHi6+/mw3eyOTj/qdvLMFgIv1ROYM0Y LrYaOqd2LxdCTj3fztufi5R322Z1TBDi14DWt3WNXJi9q5EUfxMg82+sld8q CuPUXzhniARQOhu2bFo+hZ3BVcLrrADPztyyoBbRGCsrjZB0COAbljJRIZmG yc/oW59GCfHo9E5NO0Ue1i6ated/891FZkrGoYM8LFzuM65kmxCX5vv9W/uO h9CnS3L58UJ8/H7cfu4/xI8tPb4xX0y+X7y9irOCj6PNFR9fKTEIyaWPanrw 4erSqya2J1g0V/Ya8W8qiUGzT51kICo7v3XaYT6a/7mrJcphsEWdO4cO5MMk o+6UdReDVElhw5A/H4EaLt+/zSb98Aa7QLqJjw1Zw6aL/Vj4ZX4pu7GMj65f 82YKU1hoTfjtNHs8H5n312eUvGPx63h32L4fPBT+rhmrK2WRm2BesZTDQ/wm z7eCIRbmfbkPXmfzwFNQ5uepipCe2cwsiObhbtafJYmGImRzVzlUk/ubWIy4 ud5YhElaq6Lv+vHwYDD7b7OZCD8Xe3zZsJWHlwbNPa6WIhQY8+z71vMQdz60 744t4XejXnrYah60Z160mblKhMU/7VQvOvKQOcLcKIVgx+d+DjEOPPixB8vm 2Inw+8JHmyR7Hp5aPh7YS7Ba4KQl+gTbSUKUnxG86v+fPAi/vW39RnDRO7l/ jAjmbr6buMhehHuD3O7Xq3ig719vf0nwKXX9h+9tefgs4NeZOJC5z75Du24l We+2xesNwU8kPnuFNjxMiP1yvdBZBAujCyVWZjwo1Cul3lsngvqg3fCNheQ+ UccNPTeJkB81Y0adLg/h0oXFXVtE+ChnrT00nYfHB4Q7VA+IcKYz2FK7l4aM 2ijlh6R+asc/OnawgkZJ0vf+iPMi3HTR/T3nPg2l2Xc6n1wXITIiOjH6KI36 jtGfRseKULV2x/VeRxq+Gbt13ONFGMwyujFhLA2/7M5Uuzsi2MX943bhE4Vf p0cUDJLvA5c0NZtdo2A6eefXtLMi7O358LzTncKd0KV5TwJEGNobPdJDi/iN vLdSH3cRtHucjOZ858Lg34lBnQvI/gUfqzVfcXGxtVDh1DCLCoF3Vv1/XCxN L+6MLmfhf6k2fdYOLg7suhpYeI3FzsisJekOXGQsuvo2cQOLwX2WtRXmXPBu +P9l1Fj8jDHMu2LKhUKm9UMFEYODx63Olllz4bqj6+hE4t8+B6bseuzBhSz6 fCg/BtHHdk7tDuVivCC15psRA9dh+oJLGpf452U2KQoMfGQyV81t4iJENcH2 V6sQ3rq6H+JnER81NMksvkqIH50l3tf8KGztVc38+VaI9ZvlPpU9pxAff0VL O1cIFF99qPObwupW82n2+UJs1WAvTLahsTR0lHdPuRCcAw0epudplJ8tmBZI 6nf8JlflwDIa0pjdCrxhIVp8Lf05wzR6NsepjJvNwL9DYXHVfB7Uvife+uDM QOX5xM6ZLjzIq+n3PQhjMHxm9+shUh9R9ExW/zmDavlZFQOHeaDUA2SqJAwK NP76KR3hwd7t7EpDDRLPyn6puy8PyoEht46ReJoOz7uSS/ic+ykz2uk8i5aC 6N9qGjxMtjW6fCuLRfnk2T/oNhp6cy9Ex3NY3J73zPjZExqL9rm+UPzKomN9 lPTibhrdM3xcdAZYvEKBbNBsGpGv/t6JJzhRUrtnr4RCX9uehSVdLKwup061 IH5mOltXuodH9jeobTzmT+HgG+6gBfFjhvH/PBs2o/DsScRltVgW0098/zBa hcK+zbLJxQdYbAiwGXg9yAVc/jDa1iyig0KKKzq5mDUcoLtCmUVDytTKkM9c TPpgvXlUG/GdwjK3mG7ij2yiZ64n/fTc91i7YHkKgvu9I3XuMIg6r1i0WINC kv0fz7mhDByiPUvCl1OY9/rGdsMdDH7vquSu9iF8ztCZXrOWwcdtr1osLlIo oqSGgdYMdEbpyvdlE35sVjnnbM5gm957j0EpBfeCXSt3mzHoKqKzKUUaM1b9 8u4CA7dK2SOty2lo157783g1g2XJWc4vdtEYUSqbOtqLgaFvaxXnEo2PChZV jocZ8Dw/5M9Lo7Em1ikyOpLB8YzCnnelpD7n3tXveMJgxnUj24FGGhWLO4as Khj8WV+9wZ+l4bxW0ptO7v+0U9N+nphGTavy+lEjiX4Pq4+MENCYM2iSFqzF 4sCmkILKWhqM+vQtlstZjCr3mRJcRONJpcnPxPUsnq2vrjYk56+8VLbqtz9Z X6OZ8+I6jTEJZ0Rvj7N4HV/9pfEIDfHVjm1Zlwi/YsaM1F1Lw+ARHbT7JovD d5w6buvR2O13LzmR5LPy0+xi6i+Fzq+q1nvJe525U+2CeRRYgdob1cvET1qN jRgk8fyWN327GZnHTgWYr8ggc8oHTcW598j5povvHH8VSuFwMX/cRXcWwZPn NDTvpcB0LUs6ZcVCKfSkZYo3hdRHX8fOm8dirtcVzsJNFO5lHWg2Jvy4k7hE J2EDhTLvIcppiPiB9Fn7mI0UVOVHXp5C4vVLPudm6VYKk6Wbf80lvt+pqEVR bg9F5s7c8WYFJN9XtT/LhRD+Xq+1Z54yCHqs0JYfScEn9OOd/+6SfJjqnAtL prCfl7T2WhSDq3K3fE68pdA+7m7qosvEDxeWv+ygKBh+m7Ll/HkGy3tLDDp+ UDggWPA3iuDkx91/k8aTeEbWTygk6xVeblOMm0P86eDA4e/RDLSWKkVZEj1Z 4JZs8PY+4e/ukXdfeNBo/uJglEDqf3KZX9uCfTQO2PdKvhcR/fj7ZIReCPEb UUeHRzWS/ee33Tc7S/zbrPk62u0Mvtx8mGL6Hw01ybdLUb8Jv3xzL/wbQdY/ Ha/3fByLZR1PjXJO0zCStZ7bRfTj5qTZ84yDabi7L9OtX8DiYGXHd7f9NLrO DSZ8NmfR9OC9RfhWGv4pBmYNdiy2GE546LKGBnfHvFOWriwMUk5K1pjRmLw4 w+nYJpK/1UOumkQv2KnKMy23EL+hsXDIg9zfLLml9CrB6qYGn+v7KUw5vMU8 1IPFyv1ZfRuInkyOXWhovo7oybLRk+9VUUjOyp2q6cjiyfjPFuuJ/9Ku+Nc5 agWLVPfYEzLPKKxdvUVPdRGLzBC5FsUHFD7P/BK4bBYL30S9vE9xFG4GX4uM nMwiabJ2i1csheA/7HkNeXKe3fopNwlezjeR9PQRP6kVoNVE1quX3Lx/nMSv N375fnWiZ/RLr5GqQuKvrM7t//WEwiyNcGp6HYOdTTvG6edQeFfyyJRbRvyp 1vWrK0spvNy/YCiU5Mdhpd0XYR2F8kMffWTyiN8fSojdRPQjr+pC+49XDNJ+ fvq8tYcCT+7Pms0E1w383O4pT0NYLImf95rBtyZbzmtlGrs+Fmy0fsvA2TBj WZ82yaem4oJ9pYRvpobqN4j/DIrRm72rkszDc44e1rOgMUmv01KeR/5fY+l3 TwdSz0FPi2LIfbwrkpU2uNDYLnenbOwAA/mepNm0Kw2HJ7t6nRRY1CxJOy3v TEPzSGeXy1QWygF9C91saXQYRjTMI/P11IBwuXPLaFQvDTuqYUj4ceawebw+ jYGIoJh4Yxb8Z1t9ClWInmzes6rPhMW0ja2x0Qqknwy/MfAl883BAdoj7A+F RVY+g31LiT7s9ZvU+o3C+ibxhOIlRA8e36ld0kxh2oIMyy4DFt0Lre2KiX5U Lu7VzNQn+fsesVBYS+Y73dLq1UTfKCbCpLScAkdaflmO+IW4SK1dye8ovNq0 fJz2RBZvklq14osp1Mg7PP0zigVbd/PtyyIKY8LHZLNEH/K1AxJayXsf95hn U0j++/Y7d0x9T/qHdu+X9k4GXnpDdbMqSP/I8HaPbSH54QcYVZHzra6NuOtJ /MiovZvrGmkKs9ktuZv5xI+nxRV1Ev7++nnI5xCXwdq8H/crOimUVk1csJrU p7HihFbVXxRy69NnfG9gcPrnkNBrBInfmu/D6zkMlGu1UudMoOEzZslBL5rB wj/LiidOpSHXWhzHEP5VejYpZc+kcWv8hPteTQwOjE11OEPiv02YmDOug4FS TxN/tAENOFzJPNlD+g8u9CoRfpjlV263/cMg5dVXsxiCI187r+gk/D/Z0+x5 z5DGtflGX0aPZ1FsOqp36zwa0aGcbUuJnqaKpoyaqUNjxz2P3wkkvqU30ryn zSD9K/ZLaB3RC6XS1gJ1ku//A6wrpNE= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.46874999999999994`, 0.3749999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.48874999999999996`, 0.3949999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.3999999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHVUV9n6/9ExsTtBvbYi5pjIwUZFBrsYAxXBrsGcwY6xC1uxURHBxPyY yKAoKghISkhIlz1+/a71eT3nrjPr9+N678z9ln+xXuvZ+7Df5+x4nr3386lj N33AhIIGBgZNixoY/OffxQt/NzVeEaYbe2eZ7kczT6X7jWlBnoOfCZcpeOPN Sisf4WHGC8p7XTwuTP0RvSLCbna5LfVh6sPUh6lf6PTb4AETHkp9mPow9WHq Dy1uOGlW92dSH6Y+TH2Y+ibXqjh0GhIi9WHqw9SHfeILRNjGnFcKTK9vX8gh QrGd6lqneICfcHL26OSZO4KEKf96U7Wzr8xeSnmY8jDlB0+q3fLBvVgpD1Me pryuW0PPM9avpDyMvbGRafNtwYlih7FvzWvjMW/Ma+FPjzs1+zEpVYnZ23bp xKnBuking6Waj9upWOn69c9Z+EiY9wkfXWNr1rrjNeE2p9ccL1Z6i+Ky3Tih VtQLpbZnWd89rreFsU+xNIlPzIhSrCrt7HzV+YnYVz9tuKPRmdA/MOWp7/pp b+awJTFih7EbBh+e0dkwXniO58n0OlsT5P9h5/3C2ClP/cg1XtOK1EwWthzn nZp8JEX0Yed9a8ufNdNNedwsXfof74v+B9P/YL6P9v1p+yN29GjfH+WpT//D DmOnv8H0L94PjJ3+BdO/eD8wdvrbnkIft7qsfaaMXz9hk5N7vHJjQ8icAd4+ SnuL2RuUG8nKoo2Tfh4+er2uap2UpY0HH1Mq9I8rEjXhhPKy0Z7jp3eHKh1i 71j0OxyseNaOsSnkEKe87+vwSJfwSFn+LN3af36SlB+28pOVy9o0eZ98P9rD 8747vLmtX7nrSpp7nr9XwRSlgVd6tyifCHmfwbfWpn53NUyxKniowZa64cKb Xgzdcnp3tNJy3e6QrvNDdSYeJwebzJihbD39tOm6sUHCuY8MnYN6PxH2iF5x pPN4P2GZr/Q8s25en4A2t4UdHj6MuWd4XpjxZ9j4wNX00Vek/8C8v7ZOm683 sL4gHBXmftl7pk7qN3+fHLpm4H2pD1P+bu24EUf97grvfpY5bFr4b1I/pfl3 r9dfDZD6MOWnrfw8pF3aI+FDe1c2MTB4KvVvx5RNGuIfJPVhypd0Wn8ibnWg 8NwftjX6rVywzFeUh5m/mb+ww9j5/zDfn/5Af4TpXzD9V9sfYfqHli+GuR11 co+U+tXfJz5OzHgl/5/+iV7WY5j1FWa9hFn/YPQJ6/sP45n5k/kDRs/7c6PK bakbK+OZ+ZH5B+b9PLKfUmbk94ky3/ms0qU4W8WbM9/BfG+Y8j+sfN3/yq5Q mR9hysOMZ5j2wOiBGc/wyqwblWtcjZD58eOY4haOF8NkPtyydvTN0t2DZL5z z5m+pF37+39YP6s2GpCdWjJNyfnb4qkO1yOUJmd0QQ3tIpQrB0Y6DzIJV+zG upy+ez1aMd0XYpUxOkjpF3HCzrnzK8V3l+fERqd9lbvzC+x7UOK1sujWyjvz LILNyywPOZs26VfhF4Nfj5nte1A4MGzzoyXbLglbOLm7/dj0uvC2geNjn6be E/ZznRlgcdlXeH+4bvrZYgHCHZf1tHec9kR4zkb/qQurBwmXbTtofKvFz4Ut u4ZN7m7yQjgucazdh81hwsa5iY6lzKOEI/zbtYjpHy38buCH1q8bxgj3Om5+ xudFjGJidOhg63svlDclY6LMm6r2cc0KnnvsGSfstbiH6alx8YrllcX2vunB ypli8RPPOat2/yLFW53vkCBcY4TV6Y0pCdIfWq3Yujet2itlzvOa6RNNg2X9 p3y76DJeO28nCa9oPdBkzk/JyrRy7hOHV32shKZbXhi4RLUfvFy5xc99U4TT S444Nez3FOmPYxzTFg5bl6zYF9ra7eTRh+IfvG+w6lB24i1lpnWvJgtXq/VL bDU6MzYwTXj4qzFNOq9KV1JzqjmPKHNI/Ik22xYWmm8UfwN/gfIyX+hZ5gs9 y3yhZ5kv9Mx8wfoYs/3wnc1fxgt2xgvMeIHxHwy2JfmXiQsRfwJ/Y8O+hldb 1omV8owvGH/CbX7lwlOCA8S/YL6yWujQpPwviVJe628M69zH22Ws+j7xN0Rv SsqRqJcnlf0luxRpNeeE6Fu9fVXRdUNP/EHv+RoxyY0uhCuBk8Y9NrMNUTKM rOx1pnHKgmv9V0See6wY5UVNbTUiSelzvdK+t6cvKNtvt1xQ+12qcuLniAVH d67X8TznmYdnOd13V166TQmtcjpNKX/1sumEVWfEP+H/4W8Yull2MOp4Vfmh okVjt8mpisFVn21jnl1TtuYkVPuhq6qH9aVNC4eZ2/tdFP+K+a6r6WG/tt0j FG/P+0M7zowUfyblcObQ0Kfh4l+XL2Z74pJzuPKmc9+oOz9GKx4jva4F2L+Q 9cC92fBlBdq/UOp6++67fCpG8VtkuTGw4TOZ/8vvnLDZY/NTxdOowcY3Car/ XHntDfMHO9JlfWa+ty55LdkxNlTX4v5aS91gV/OKJef71CijslMzr2oT3gQK ezbL6XzuQZAw6znPK/+DyeaP556IPcQ6aYpHVIDwrOiui9M3/iacHO3ru7b9 A2H8Lxj/gOe71+0w3bj4HbG3rXuuwdIxt4TTHvTc3djurHDMwwFN7c5dEGa8 in+m/347y252f1D0nDoeXIfEFw+/KeNb/DG9PTd13NO5x+8IOxaZ9XLPZz8p L/6X3n5goPOj4g/8hQ0v+qS5fPlOlBd/S28/Ytsvvt8bdT6IdAhMGX1Y9bdY Pw/VXdm+1MJQ6d83czzmzZur8t8qJzy4NTpIuFCPG2uHjFOZ78fz7O3zIg/0 fSL25e1q1SphqfJDL484tzF+wpvK/Dj+6USV+X4w34/nDxrgbzih/W2xb8gx XtuppcqHphmP2/vdeWHTJgvt0supzPzC88x7xF50Nbwu84WvgcXF7Koqu14/ 0ybhqo9w+OgCF66fV5n3z/jjfVvfdngZVT1SuEfC3Jx5sdEy//H/qxptLt00 7pH6/AXKhkGvVS65NyF7zPpnwk2mlm3zcI3KzMc8z7dvSPTSg8FiP7ngjGuV oypbDp/b79G1MGH7Jq7rO1xWuertTzp/7whlXeXdb67MiFCSJ9Va3bRghNKx TAXnSnOjRC/zCfo2d7w6fZCLun6cufnL7B+nxCrD1l1oN6VzmGLaNnJ0J++X Ul+7Xn+ocDutfS11/a+2e0VWl9x4Kc/8hH1Cqu9UIzd1vVk2e93MBl/WkwWd itwv4flcCZ7v0/tvY+PF/112Q0mrfylOcRtYO/VtVqAy5oLz6P1LXin28/zT 3n5+pvxcN9giu2KCuh7r13ee/9jncUqBlqq/kGq1NcOw6GspL/6+3t7B9fnk V5dVf3Bog93T0zemKubbU757bXdL4gPihaKz7WwCOqXK8/APqH94fkSyX9c0 pWDQvsUGsXuUwasbDVo5Kl3iAemvvf2jjQZsl/nq0tqOHeZWXyxsOPVg94eD 7ym7b+7o4P/gtWKxsLhxwbQHyrI1Zj79LJMVzwuZP1Q3ClWMfOOXbdoZq5hu d2q6rdITZfC1yLDzFxOVIbct4mqsj1SeXh7cdPj4FzJeezxLapHc31uH/w/j /8P4/zD1fWs9jKnadJPUh6kPUx9mfcSfaXlJZ93gQ4zw4+2rPoSXTxCeOucH t61NXguXGFhlcJ+u6cJBO9MXG5zOFK63emBwmHe28Oy5l5pdupsrfNu+xvIt AW+Eyw1xfjE1/J3wmB6xLXonfhA+06bXqno5n4Q/1z0V8fnzZ2H04I+hB0YP jB4YPTB6YPTA6IHRA6MHRg+MHhg9MHrwH9EDowdGD4weGD0wemD0wOiB0QOj B0YPjB7tfi7+Lvpg9MHog9EHow9GH4w+GH0w+mD0weiD0QejD0Yf/jr6YPTB 6IPRB6MPRh+MPhh9MPpg9MHog9EHo0+7n068gV4YvTB6YfTC6IXRC6MXRi+M Xhi9MHph9MLohdELo5d4Ar3a+AJGL4xeGL0wemH0wuiF0QujF0YvjF4YvTB6 YfZzzg+q87x2hwzRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+h3 vHWk0tafM0U/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPo9/YtNHg wrezRD+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+j/9nuU9vmFskR /TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4z+1UWbByb1yRX9MPph 9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH7zOWcr2G7ME/0w+mH0w+iH 0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj8cc3/k2z7p0bI/tvhY3aMFisYLG694 3d/bOEn42rhzv09rmyrc7OD1oPLHM4QXbapjknY2S/ih84qlv93IEa4+PSnk iF+e8KRR/Zovfv5W2Luf14qRMe+Fi3WuFN427aPwUJP5rcq//10YPdrzX+35 NvEp+xna82ziR/qD7Dfr9/NKl4jNHR6WIXx3rv33D2tlCc+LS5pjPj5b2LT/ 1POebjnCsdczsv+Wmius7T+0n/4D039g+g9M/4HpPzD9B6b/wPQfmP4D03+0 7xf/nveLv8j7xL9AL+stzPoDMx/DzE8w45Xz7VLZi9cVC0iX/QD2k+nP7C8x XmHs7Mdghzmv5PwPveynMB/AnGdy/sf+W7uwvY6etu4Sf8PsP8yoHd6qjsU5 4Q0/LZlq3OGQjv1GysPE7+wfYoex8//hn1wH7r7yNErOY3/VrT/cPvelcIhH 5rsKBeKEG+0fbJNe8pWw0/rLx/yqJgr7LDL6dLResnDFKUsGLmmRIjx+ZPwJ W7M04eFH6xnUrJchXGDfkFPFm2QKu21bPeRN8yxhm3VXCsR/ny38dlmK+9NO OcKuC42H3eySK9xzts13Hr3yhNMmLfXY0++NsIvd+eFrBr4VNh/xqtDc4e+E 4/pX9Rw/+r3wut59Rg6Y8EG4TZdFRSwmfxQOb+/h1WzmJ+FlLaJta8z9Xbhp o/LFiv/8+Q/n3z17hT2pFaXePyF+ZL+N+yAw8xf9+1C1BaXq9UqV/Su+L/2Z /RC+N/c1YMYvz2N8Mn6ZD1n/YO4DcD+E53GeT3s5z+d5xFOcj3O/BeZ5tJ/9 D57P+6K/oofyWuZ9MZ5h3j/vF+b+DPWZz/j/2Nlf1O7X/aPn+9rzduZ79p+Z 72Hme5j5Hma+h5nvYeZ7mPkeZr6Hme9h5nuY9RX+Z+8LWNd26liw1J93X+Dp lbA6Pu88dfBDi6UbA+8d02nP07Xn5fmdh2vPu7/2PFt7Xk37zNqWr3LYI0M4 JupcYNlimcIZh7YPqZStsotVu4rLrLKEj5Wp5rKqXbaw1eUrA3M3qTxi0d6g dwtzhA0amG+dGKRy2aRalabczBW+uOXW09BqecL4I7B2v5jz1I5xtuFvZ6jn qfmdd+d3nq09v2a8af0FzlPl/E/vP8j9C73/AOM/wPgP2vMA7f7/1553/+Xn yfr3If6DXk/pleHdFq28ILx/UIEdAcP26P6vnzcznzNfFSru0DEjIErO6161 U94vD1RZez7Tbe2yZ0Z5L8X+JHvH7IE5L//h8z7iJ/5/rdgPv5kaxEn9zQsS Gr8roPJLx76LA0u9Ep7+dHRtw5IqE3/xvOu37jjFV0kUe/PhZ56fqaays2WF ZmvrJwuX8mrof7OuysRvPG+k69q6e5uniN2/3dxl9i1VNmoYFtqlc5rwqY3p 8+d2Upn4j+f9omvscKJuhnreu7bWzg31VA5f2r/boi/+H9zg0sgKOxqrTPzI 8x56rL+x/It/KOfjC5alObZQ2WTWhV1D22YLzzmmc5z1vcrEnzyv5v7MimO+ +JPYAx0TuvcwU3nR2GoZrbrmCt/dXvdmvy4qE7/yvEnrB0/u9MX/lPP/4X33 1LZU2c/m556lrd8Il1+xqnLjfioT//K8K4su36r8xV/FPsvyTOaHv+PqFi/3 Jn3xX2G7Oa+nFPo7Jn7mecWmGFXNGvVe7DfbVbAMHq2yQ/Me2Xe/+Luw57gf 7kSNV5n4W+4jjlwyzX/SR7GXbTh3/9nJKnsbn+jt+sU/hg0Gnqt2dYbKxO88 z61P/F03p9/FPqpyWM76uSoXKV3KdeEXfxq26VplhssilbXn5f/qeXbXj5VL OfzdeXN+95GYn9kfYD5e2TjrfPAElV1SnrUNt8mU8uwfiH/g8lNO75PqemY1 fKiT9fYsKc/+gvgLBd+1vpam1jfweXHhZmi2lGf/QfyH6Ytmm7ZW+WKrUbmt jHOlPPsT2G3DP591navypAMv2xy1y5P4g/k2a+ex6U4jIpWdi7rtWN0x7A/3 sbTn59r7YF97nk57op1t3jiWVM8n8M/xV2D8bRh/G8bfhvG3YfxtGH8bxt+G 8bdh/G0YfxvG34bxt7V68MfQA6MHRg+MHhg9MHpg9MDogdEDowdGD4wemHiA +5r41zDfE6Y89zkpD1Mepjz3PSkPUx7m/cLU534o9WHqw9SHqc99UurD1Iep D+MfES8Sb8LEmzDxJkx94jPqw9SHqQ9TH3+e+jD1YerD1CcepD5MfZj6MPWJ F6gPUx+mPkx94k/qw9SHqQ9Tn/mL+jD1YerD1Cd+oT5MfZj6MPWJb6gPUx+m PPEP5WHsxEPEZ8QTsDafDZZ8L42d+5yyv663079h2Y/Xl6c+9zuxw9i5zwlr 812IP4lP5PxCrxcmvoB531o76zfPY33m/7H+0l7tfKZ9P9r5Tfs+sFOe+Qs7 jF07X2nfF/MPrM3/RC/9B8Y/Ij+G/TFt/hP7bbA2P4j67IfDlNeeH7C+8f/Z D5f5UdMe8rfY/8fOfibMfiVMPCj76Xrm+/F88sWI3ygPU554DDuMnfgKO4yd eAk7jJ34R+J9PWMnnsEOYyc+wQ5jJ97ADmMnfsAOYycewA5jx7/HDmPn+zO+ 6c8wdsY7dph8Q/of+YYw+YYw+YYw8wNMviFMviHM/Mf/h7X5dOz/ML/I/WZ9 /2e/HCZ/kvlT8vX0zPN5H9r/x34S/0/uF+ufz/45zHmW5E/q9zslf5L7xfry 7H/D7J9Tn/0q6st9Y315zgNg7fkY+6eS/8v9YX158llhzg+oT3xGfW3+IOcL kn+pPz+hPvuz1Jf9Wn15yU/RM+eNzFfa8zzJD9Kz5AfpGf8IlvwfPeO/wPgj sNa/YD1iPBzT+RUaeSFb9OFPSH9uXtC+86/q+qZd7/AnGC8ue1ccPfMoU9Y/ 7XqIf8H461u8eHydCtmyvvB8xpfZqzsrnExUf4bnMV4zB/S6lzhDvW8Uvt1p llvbS7K+sj/IegpTnniU+QL7vMXXqvv6hMl6S/yEnfgJJn6CiZ9g4ieY+Akm foKJn2DiJ5j4CSZ+gomf4CZVq/ez/aIP/wC9yWUWvXvdXf29in9XPinP6+Jw s+ZPy1X/tszkns8MgtXvXWN+o19MDbMV975nnlT/z3j2SLOV/hZf5tXQ1l0a GoQoZwM2TTUpfETXPunC0kE9XyhZx8asa7hmy//5/ND88kHzy//ML78zv3zO /PIz7TKvFauYck7G+/L4oVEdSvjJ+N4bt2VeeESQzFfuKxq3y+upzp9+5b/X 2bwPUf2fr8zndLKoc89xfqSizRf7q/I788vf1OZnavMxr02ZvHK+/y2Zb5mv I04XfmzeKlNZVLfzT6eGPZH5lfm5d93bez7P/sJ2nmefRb9Qotv1Dapa85CS Umli78t9wpRli59PXbPETdnwS4PUCVmXdO63XO/dLZyplHx72jrE+qHOJnHi itQ+WcoQL4uqU84+1533uVuk1ZJsZe+qkiVDZgYpG3acHncn55Jut9mbWnuW hiieGwOPOvrv0dUcd8i0QYdgmV/d4pb77vsyfr9vNPVtua63lectkhzHhkUq y5pPMXtS+oFiuLyH0t8lUlll4z3YeZDvV+ebFtp/9dHNoEhlaf8zHz5/ClEq T5hSI2+pq672wdQiAbYZyi91KjilFb+rm71hV6dRJzOVdXGFpzmOfarr76Yr EpKQpTj97tnHoWqYzrpe0UNWVXJkvXx+sv/xDfVz5HxZG3+gL6fL6c9N6ocL X+kyKSzcJkxYm9+Kv8b8fKNv/ZMzKzyS8m2tTmWVuvZY2Hu50bHruc+Ef1n+ Ysn0Oipr82E3RASELV3wQtHmO+Ofpqwbv3HGreeK09sBTVzKeunMOhcKdBn+ XOKpxc0OOzaIDpf4e8ubI/eTSkYocT0e5RwwuSbjgfZr86sLD8jYUeWSu7Sv jk3IT8cqHvtDe8kvxj/meb8eKpHWzPGqWv5wFWf7KzeE32+osct13X3hpRu2 2xSKu6f8s/mjxHdyH6N2q9VbHaLkeb03dXw+wzhaeJfzfhOrJjHCCz8vql7/ 5kvhEaPWuVdtH67EzEg80KvqeWXO9bL9Gm0NV4wjxvXdN+GSxIv8v9/SomcY PIyV+gnTCi5r2DZOuN0o+9CCXV8JV4vsfj8sOF6YeJLnTfR3M7oUmyD2Ff38 mkf2SxQOMjNdeXl4svClayXnbElPEib+5HmF3Wf4Tf3wWux1TbaEb5uQIjy7 Rl6rGTPThAfvCazdu6jKxKs8b0CPvZ22FM8Q+5jCp+8eNVe52KfI6Vu7Z6rf 2+zRK+cyKhPf8jzXNgZbplbKErtnTtkaS/qoPCylq880m2xhS5NWnUfWUJl4 mOdl1B2faFknR+wGcXNm2g5R2S3sWM0+trnCO2u4bG3bUGXiZ55nXsHXvF6z PLFbPwu5385O5Tw/w9n1Hd4IvzJ8n1SutcrE2zxvQ0GT7Z/bvxX7/ttmxhWm qdzzyrTfDOa8U+eT9z9apJqrTHzO88IzN75+0f292FO8XOekzVd524mntcKd PwgvT7rl4ttHZeJ5nmfyMrvLRZuPYjc7WOjBbytUjtvZ1unS2k/CgSH1Uw8P UZn4n+ctChi6c7Pt72L/dZNDnaObVW61evfDLTs+C9fzXdPN2U7lvzo/vOCr NTs+d4uS/YiPNkUHn6sUpVyZeiK2XKFHSoMH25b4NY9SHhUt6FjC+7ESsmvQ kUvDopTAnZt7bu77VClStGHxKgOjlCJvrAKzPJ98db55TZvVj1ItotT9zokn LnoNjVLqedsN8jILVKoeDmhWon+UUvlAkVltQwOV2hnLj1ctF6Ws7GYde2FN sNJ97/Vb35tEKb6Jh4ceP/n8W/76t/z1/2/++tfmp//V+eh/dT55fvni/eul tdvsaqfr4l3a42CRDNnvGdp55volipsu7fghh6JvI2U//ppv0/FWtlGK9ven eL81K/3kb58VKft3tw9tSD3Yepvsz1A+vGfjpUcaf/FvS8fE7ooJ0Xn4nQrz eJitbLGfZvPzjhdyfsN+z4HaFWOPRGfL+G5Z4mr2r7uzlWLRrcqebBMi+0He eYPSD4yNVL7fFjc8dKuPYjjZftMOQ09dwTeBC2O8MpT391eFXqvvq7u3Otmj 8YdMpZj1m4yRqwJ128s6TUpuk600Ke5q+SJPpxv2bk7TtcMylZhjVX7e3SVA 98u+4f2e7lLzp/Cn2T+AsRPfYYfZX9DeN9Tu18Ds18Ds18Ds18Ds18Ds18Ds 18Ds18Ds18Ds18Ds18Ds18DoIX5FD4weGD0wemD0wOiB0QOjB0YPjB4YPTB6 tO2n/9N+mPbDtB+m/TDth2k/TPth2g/Tfpj2w7Qfpv2MV9oP036Y9sO0H6b9 MO2HaT9M+2HaD9N+mPbDtJ/5hPbDtB+m/TDth2k/TPtlvtK3H6b9MO2HaT9M +7W/N6s9z2a/A7v2PJv5j/Iw5WH8Ce77Uh+mPkx9mPrch6Y+TH2Y+jDxtOTn 6Nd/7fmj/L6sPn6Eif9g4jeY+Ev2A/TxE0z8AxO/wMQfMPEDjP8P47/DfE8Y PfjjMP4zjD+Lf8f+IO8Txr9kv5D3D7Pecb+N76XNt2P9gSV/Sv89sLP+8H2Y r9HHeIMZbzDjDWa8wYw3mPEGM95gxhvMeIMZbzDjTfs9mO9g5g9YOx7Zv+X7 MD75HoxH3j/jjfNzfq+W8ybOezhP4nyH8yL8E+4LsF+Fv0U+HPk4/P4q/hLP 53yJ8yrOkziPwl8ycFpXb9tQtb/A/H/tfqD2foD290O1v68j9zn17UMv9WW8 ch9C3176H/oln0m/3yX5THomnqG/wtp8P9pL/hRMvh9Mvh9Mvh9Mvh9Mvh9M vh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9M vh9Mvh/M++f3f2F+/xfm931hft+X9YD5Ema8sj5gh7GzXmCHsbN+YIfl93L1 64nsV+gZO+sLdhg76w12GDvrD3YYO+sRdhg76xN2GDvrFXZY+3vAjFfmO9YX xrPct9aXZz6BteftrD/Ul/vX+vLMN/BIE+vu/u9ypD73r6kv97G5PxJTZnyR vSqX3fVkmWKu3sfG/6A/Mf/D2vhU8qf0LL/noZ8vmd+Z79FLecmv0jP+E/MX 8QL/X3ufjPsIlCdeojz3sbT5l9/uB/xr9wP+p+ef/qv3DfLLH/1H7yP8s/mc 2vPx/PI7tefnf3a+J+ML/0F7Hpjfeb32/H2/peGA+n+336XNx9PeF9Dmz+R7 Pq7N/8znvPxr80P/7PP1/M5P/+rz9/zyGbX5Sf/V5+t/1Xk6+VT/r/N08q/+ 5fP0r8zX/bPPy7+df387//52/v2/9/z7zz6f/rPPm7/lv3/Lf/+W//7vy3/H n5Dfo/tvli/+tefn/+7zb+39Um3+fn7n4/J7OadGXlmeO1un/X2R/M7P/wNT br33 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmlQl1UUxs8BZRcQJNnhTyAQJKgBKiibYKG2kLYXKCmappm275HLh+pD 09Q0077v+z7Vp7appn1fJnOyclqmZaZlaqrn6TwMffjNvf/7P++95zzn3PO+ iVWbBjcmmVm6myVjPBrMB9XgDNAFGsB+oAAUghyQATLBiWAEpIFjQTuoAWeB FaARpABsbzznBNABakGq1njuWjAKssDBYAGoA72gCRRr33bZj8oP+pAOssEU sEnzPHAa6AT1YANYD3LBZj2bD/pAMyjXc+mKbRgMgUlghvRgDIOgFVSBuaAN JLRHifa5BIzJ5xT5mCFydE6ptCzS/ynSY0S/OZ+sZ9JlR/330b4cp4OZ2qdE 2tRKH9eek5XPGmk9pL2T9TtVdhXag34dKd33B90aedZx4CjpMSbbIv1fLJvN 0j5beucrZpeGScpJg2JYoPwwti6Lepkuuxr52Sa9K/kfNioEWy1qbkQxvME4 sX6g4qhQLmZrTl+3KTesp51gBzgAbNfetF8kTUuka6nmBYqVa0tAv/Yu00i7 xWCW9jpC2jUqzgbFdahF3bBmWKtTLeq2x+KOFf4vx0XSbL70WAoOkh7JyjXr c6HFXSkQ9dqjX/ExfurSIh0PAXPke0L70ecBi9rel35By3ywRTGVy6ZFY5Vi 67aJOuyR/83SsUTP9un5VvnBZ7kv62Oa9OuXny3SkWeskI6NiqlTcVGD5TZx B5cqBvaVZdLkcIs+Uqe4DgPzNA4oxjbtVSXfBrW+XPMq6bREPrLOe5Ub1jR7 EPsJ64/3Kk1nDyk/rE32xyytDcuG9/R45S9TdrQ5D6zUHitlzznzf4zFfWAd dUlz3kPex2o9P2oTPXmN1s4Hq3Uu/18rny8A62SzWs+k6f+TZLNOv7Okw3i9 5yp31ID1tUO5W6Xz0rTHhbLlHd+qHLI/nGrRI/j/ybJZI594FnsH7wbvBfv2 Ros6OUXrfJa1cLr0YL7OVc7oy3b5Q307pCH7KHshex3vGe/MeM8506LGlikH tGc9nqP4WONnW+R/vXyaJl/o01TFxNjY79hf2GdYJ2OalynWDYq3Qn6Wa6Tf Cdlukz3Xdmq9UnYJ+bBFZ10H3pbvN4F/pGWO/MmWfhfJ53Gf2FtKNedZt1Ef D9sbwF/KZ53yR61uAUkeuc3DeJl8GJYt8/41+Ea6XUnNPO7MI1zzqKOPwOXy 516wR5rdw9x49JIPwdUW9/FTcLt8eQC0ePSwh8Asjx5zP5jp0XueBO0ed/pZ 5tjj7n8GdmnPr8ArOvctxujRF14Dczx60BVgwKMPLcLYBy7G/EtwjcV7kmvX Wqx/Dl6w6D1Pg8Ue/akH414LH14FzR49cSHGTo/abcXY5lFz/2njoc8n4GOL vsU4ntE+exRDkzS72/TewvxOixrPwDzFo0ZzMGZ61GmBR39nDT0n/7jnY2Cu qwdjfMrC/37M37Tolcx5tkfemefXletvwXcW/YjaP2Gh//Og16P+uPejFvsz V/dZ5OtSi+/PPNXIwxZ1wtw+aJHfXaoJ5u4q+UR/fgE/W3x7dnvkknn8AXxv 8T1LDdKkQ4fHtwLfQ/M88s1c/wF+t/g+zfLwif7UYV7vcf9LMb5o0Tt+Bb9Z 9PEqrCc8vpeLMRZ5fHu+C96xeA9VYK3So2fdpTwxR3+C6y36/V7VK3ORiv9z PXpLA8aXLN6vP4KfLN4HtVif4fGt/QF43OL7grZlHvbM+RTl/WXQ6PFuZhzv KZbd4AuLOme979Z8tke9slarMa/x6JWO8WaL98Pf4EaLd0iTxxnc/w6Le8s7 +77FveWdnQSbWy164b9g6+sQ "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPF7q2LEiD2iqL7VllbNorRVe4+atTUIwktqrxqJpPiA1t57 E3vH9qESImYQREgk9t7rf3LOh1/ued77PuOec88NzxibFgxxzg1CKF7iLdIR wHr8xGAMQYR3LgpTiWNxDffQFeHYinzMj2Ycg3rEBxnroA0OYTU6yBw24g+G Yhji+P9exni0wGY4fhvBMBJrsBzt0BFlmauIicQxeIqV6IWeOId16ISmNpeL VPvPdjxBd0TjFhYhCZ2xCkvtW3qjNu/aLyNaoTrXOfYuyckNnEYP+8a19g3y 7rl4gLNojG6SM+5fwtgMk3HS1ihra2S5WobWlrMVeGj3RiAPd9EFYXiMRzaX hgo8fzFjitMchXG9i7EGmuMq2vLbPMt5IeLCGEdcEneww3KTbLXYwjDKaU1k b2xAhu2RgswXQAmnz5DabsJwq7GsNcD8FFtzDPEzqTumSZ65vs9YGnPwDxcx y54he2sbY9DpHvuNC8iyb8jP/GW7N2i1jvb6bKn5AnzFADTBZ7xCH/THB7xD JPqivNc9Jntrgu2Ncl5j2SPXpc5cZzPWl+8mLoPxtoZixMWRSVwKIcSXGGdb DiO99pT0kuREalWF60lWs/l4b9+SiJ2o5LUWUsNv+IIoW1NV5iqjptNnFCUu 4rWWmfat0rPSq9lW+zzbO7IHFqKl170qe/Y8fjnt/Zn4bv+RuYGW+79OezfL auW99qrUTNYa6vUskDU3ID7stPdlz360mkgt+jndC8+d9lqc1eKTzUlN3lhO JBfptvYf9i2Sgyu47bR3paclF9W89pbkJJZ4D2MtWafURHLjtTZSs9dOz8CA 7Yl9iPf6X+n53fIcr70jzziAul7PAjnjEomPyjolt7hpOZTcyRl0DKec9rac mWeQyj3tnZ4JcnYkcz3D6RkivZ/A9XSnZ0CK1x6X3pb/HJH7vJ6t8s6GxC+c 7kW557jUyuu3JCCJ+ITF8s7/riSkWQ== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXn8T2UWx93nUpZCSpYsGVFk31qkMkozUymlok1jK/u+y886ttQ0TbJT IkJSMghhEDJ2ErKESGQZVEidj/O+r/v74+Pc5z7b55zn3Od8/L4lmrR/ol3I kiXLw/ZPbLa12TaGEobnDJUMBQ1/M/zVUC/KkuVRs4+YfdzwpD2XM9xgeMZQ wXCjoZGhoqGA4SlDeUN+w2OGR21efcNAe+7PXi8YKhsKGRobqhgKG1421DAU M7Q03GwobqhtaGBr/N3QJPLnpwzNDE8bnlGfjalquMnQlH71NbV2NUMRQ3PG NjR0MbQwvGx4xfCs4TlDS+zzhlbYFwytsS8a2mAbG+oE59XO0D4Tx8OG84Zz ho6RcxLfTlhx6YxNeDSCR9dMvLphxas7thVzGjKnJ/zEqwf9ajc3btUNRQ2X rX3C8JOhX3C+fQz/YF3N6w8/8cowdID7AN4pZoPgJ16DsZo/kH719WOe1no1 U2yGsI/41jUOvc0OM4w09GXP17Fa4w2seP0TKy7/Yj9xGR75OvLlTfrV9xb9 4vhvrHx9j/nq/5NxGGr2HcPoyJ/FZyzrjjBMgJ94jePda4YxjB0O9/bEazz9 mjOddTV2ImvIp8n4I77vYsXpbTgqTlPgKO7vY9XfzTh3NZQ0TGI9rfVBJj+6 BH+eBt8+nMMMuMi/g4Ythq2GWfCWr7Ox4vsRVvvMwYr7x1hxn4tVXD/Bivun WHG/xfhMNfuZYX7kz+L2H6y4f8F+2mchsRPfRdgPDZ9jZxqWwlVzluCD2ovp V3sBa2utZawt7v9jnOatwAdx/y9W3Esb53lmVxpWRf4s/qsz+fElVn6swWrP tVj5sQ4rP77Cyo/1WPFYDi/x2AAv+bcRq9hswi7jzFbAdwvz1d5Mv9q3Bue+ zbA9kx87sPLja6z82EtctP9O3smnb7DyaTf+yI89WPmxi/51xF7fifJpH+vJ jwP4II7fYcV9P/3quy0430OR358J9++x4v4te4rrUXwQ3yP0q/0D78T9GFYc f8TKj5P4LI4n8Edr/4RV3yn6xfH/8NZ3UyY4x7OGM/imvtOMVVt5OpZYnMvk 02+G4+z5C7zlx8/4eYT+3XD6lX75dAErn86znuZcwjfNu0i/2rqH9N3rfvod 3+S37inVKNWk7MH3Fpc4uD/yNQT3R+2ywX3Navaq4P5o/6uDW83Pxhj1Dcd3 3TWqZ6pfqmc5gu8jn3IF90d881CfxDFvcJvF7HXBbWTIhxUvaZLHbMzDhmuC r6EYXE+//Lg2+DvFWzpE+kU6pgG+q06XR79IK1RAv0gzVEQHSStUQqeo1lZG p6jmVkFryL+q6AvphmrUW+mG6mgZ6YYaaBnphj+jaV6KXE/lD6mmaQo/8WhG Wzya05Yuk56SrmpEXBMt0IJxuYP7rZgmmkZnkDN47C/gv2pWO/brQFtrqI6r 3j8QXN+0jVK9opqu2q66nBGlmiap9/3pS3RSazh2Zd1Ex3RjzwzyU9qwH5qg Pe9ejVIN1DVKdcAbxKUja7RjbB84DmCsdIDqaqIL3mS+xurbGAEX1VzpA2mT IbQfCq5RpAnESTk9DB6DWDvRha3Ye0Smccr90VGqkwbh00j2TrTOSPregmui V9Qeyhqq5YkebUkcB+JTopNeh/fbzNfdqfvhELx0D+mb1L2uu/Fr9latH8/8 ibS13iTaitdk2olemQzX92iL6xTaiV5RWzqlC7VfPqgWT8On6bQTPTEHfro3 Z8B3Jm3xm0U70SKJNpFNNMtsxiW6ROsmNXsVY1VDl0apRlG9LxVco8yLUl0y P0r1x0K4LqBvKv1aW3eS6sRpfFrIuDHMnx6l2mUR/FTfF8N3Ke1EP83Fv2Vw lQ/LaatvBe2ZrKF15+HfyijVMSs4e93HZ6NUr6yOUo2yJko1ylrWVU3eHKV6 ZR37qN6uj1JdsiFKdclGfNjAuNc4s3Hw2Mq6if7YHqX6Ywe89W5blGqOnXDa RVs8dtNeBsdNcFK9TvTIHsaJx176xGsfbXHdTzvRFoejVJccgOtB2uJ3hHGJ nvghSvXEMbjqXaJHjjIn0YVfwuk4c1TTVIdPwUnPie6QPYFvBzJxPcU4tU/T 3sPY43BV3U70yBnGJVrzK3xQrVbNrh7b2RiPe6nzgfp6En6qwaoVqhk5qF36 /3hjOKr/cpTqkkSnyP5CXC7Sp7bWyB5S3SAdMSD43yD0N4Eewe/cXnDU2KvR FNIWWfnOIjSB8lprZEOzxNR+xfcSeysuv9E+AV+1VU8LUtNVZwtQ61WziuOj avGN6AHNk0bJHVKNkiekGiUvNb4Y9V13dVHeqf4WQQ8oFtI9OdEs0i650CnS K9egLQqjK8SvEO/uN3sX95T6bkJvyJ/c6J27Dfdxj5XlbBU/3W/3M1drlORO 1thSjJcGKY8WUltjdb/VDP5/IX2j9wT/f4W+077BtUsD4leRGCoGNYiDYlCd OKh2qb52x6fK+KVzqMRZKN4ViLliUAVfawX/v8EhYlmNeCoGVYlDohGvw+8y +K6/O92BhumD7pL26W62A209S5M9Gfk+9+CjfK2J71qvFhxKE2vFSTVaOkE1 vwf5XJc9H2Rf/Z3hzuBjO5ttxzkMCq6vruiX4PzqZDonndHtwc9S+a8x0mTS jQ/yrPWz27ecw/AS55Gfc8wIfk7yU7pRf9d7wt7Xp61nxbJZ8LOSrq4X0NaM 198AZR9hvGq6/gYxKnI9rTnS4dKj0tl6p3MTF51PJ80L/jfDx4OPqc9YtaXL lXdPBz9/5dGzwfNCOfJi8FxQXjQMnmv14Kq5Ov8mwfNCefR88PxSjnclhnU5 F+k4+dEeX5SnrwT/5tswRvePntsGv5cU41bEvCOxVJ5oXWkb6YXe7DWKmHfE X+V+i+DfRG3m6nzuIgdKMrYT4698T8HPT2v2DL6Hvt3O5MQV/U8MdX/2xy/l b3f2eYBcqQOUV8r5wYxXznRgvHyR3z3wvTbj5e9DvE/+Vid93od1lLv94J+B b38JPkd5Lu7Ke+m+O+kbyr59iUM5nuV7L/wdxd2Swfs++CI+ut/1f7x8xKUn 6/ckXppbB25t4atnfV+yg3nfn2f1TzZsCp4XtewbWhj8273Xnj8Pzv0+e14a /Jvfb9jDGewy7Aiex13h0IUYDyB/WvPcm30HwuEOnkvgRy/ipe9NZ6zvabvZ zcHz/SrjkC32v5evMRwNfuYV7N1Hwe+t2+15VvB7q5o9fxL87qhszx8Hv8Nq 2vPY4Pf+bfb8YfD77DP5Hfu3Ucrs9OD5OdwwjjwZYnZb8O+utI25NfY8Hmr4 hpycybpaU2ssZp0Z7K19FxBrxWARsVac58JVPOfgm/wqbrZY7L8JlDQ7mlwt bM+FYv/dYL3hltjzbzaxUBw+MEwltu8abo79e35f72L/ziuaXRb83i9jz0s4 6zGGieTVSrPDgt8bejeN9xPMToFPFZu7PHidKGfPXwSvH4rffGL4jtnx5PMq YqE4yKcJrLOauCgm3xkOBr9Dtf8+OKwlD5QDGw2Tgt/ZS8jXu8mdreTPt5yT zkg5u5O8/Tr4uepMldd7g+f2FsPu4LVAWlYaTrpM/9/tSS2Xr5Vi9/dXw4Xg d/fPhvPBfxeK9ENT7L/55DN7fez15hC+ya+89i5P7L/VXDJcDP571FnDueD3 /mXD78Hv92OGH4PfldKwVWOv+UXMFo39Tj9hOB7896iThlPBa8wRclpn8b3Z w8F/18pv826I/TeTM4bTwX/jKmDvCsZ+j38a/LvSNxWbzRp7fVLulI89f3KZ zRn771HXms0de32aZ6gRez1XXpSNPTf+AKijnns= "]], Polygon[CompressedData[" 1:eJwtlOdviFEUh9/33tp7dKCtDm2ptkqp2iKEIKW1ZymKBg0SH/oH+GKvCpHY xF5BhPhixRYjRmLF3nvP5+ScD0/Onefee+7vnMTissIZLgiCIoiAwAfBYgZa wxioTn8pNgfGw2Y4DXmQBJ/gG4yAaKd7PXvGmo8GtOtBHO2JcAnWQX/oC9WY qwJNaI+Dw/AYCmEWzIOXMBgyIJ21O7Cp0Anq0F+GbQsT4Dycg57QC+KZr8Am wFSna+t7vYvsuQZXYUAYBPnYY9CR+TnYZHgFLyDS7nAULkIfi8ERO1POag9r 4Cz0kPfg8zb2DgyEglBjWQv/xRbTTNq7sGnQGZ7DMxgUqo9KzC/BtoEiWA1n oDukwC24Kf5DPeMe3LWzCrC12V8TYp2e2ZD2cmw7mATN6CdDOet721vfwBB7 cyPmVmBzYTIchxPQTeIE/+CPrIPRsAFOWSwSYRH8tblsuA43nMZa7rxR1nHG NKd3+I79DaMgBt7DW4iCobAbWnmNVXOnb4mmX2Jvkth0oD/bYrRTdONVKxLj BfAZhkMWbIcWXt+SantTQZJCfKTRTvGqBRn74lTz0eZDYhPL/BSLUZxoGZo6 HcvzqmnR8kyn2lwPpU41ul/uzZqu2HTRAO2tTnOrHK7AQShzmjOizVXYilA1 KrH5CMMsRg/hqehH/lr+gfUnsYWh+kigv9KpNkst9puw053+QZLXP0y0sb2i Pca6SJzgkZ0hviVH78MDp1qTMyJY66Cx0xoguV3Da+2QHBct1vWaq6JJqQ2R XrUoNUL2VvaqdfERJb68ai/eWWy95rLEOJv2HtOC3PGXaS7bNJTL/AGLbUvT aui1tolmc2jvs7fJH6x1WqOkNvVzmusXnOaG5Pwh+1P5S8nRhdgfMFJ06TQ3 tjnNTcmRn041HWNr5sJl853P/i325+X2p1+d+hRfUlNfw3zIdJqTMV5jIrEo sbl3TnND1jxxWjMzTAMfnGo+yzQitaSq11orNeU/DtqfhQ== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmYl2MU/dV3P1uUtCjCE9myxWP3WEoborRnMm22pCkazdS0aUZJKFpU QoRStCqyU5FIKqHVrj2TUgg5xznzNH+cue/+ve+95y6/qdm5R/OcsplMZl6Z TCaB/AN/9gH9gBeB4yOTeQzyE6AB0BwYBdQFbgIWA9cCzYAPgXpAU2AjsAG4 C/gUaAi0AJYDjYFWwArgOqA1sAq4HmgDrAZuANoCXwNNgHbAGuBG4BbgY6A+ cDPwHjAVGAN8AEwDxgILgPHAOKAj0B64FegAZLn/FJANdAK6eI5rO3uc/XnA TGAisAxoBLQEnva+24HtwJ1AN+BJn5/tsc4+ez2wDrgNeMb7ugK/AHcAd1t2 8p7V1gf18h0wB3gW+BmYDDwP9AJygB7AfUB397cAm4GeQJ7nuLY3cK/7xcCv QC4wFBgMFAJ9gfu9dqD7BZ7vDwzwugGe/xvYDwwC9gC7gXxgCPCA92XAowOQ RbZpW9uYdiR3yKHh3sO7BNYnwEOJ+DcMeBiojrFKobXkZlXzk9wjH8nLH4C5 wCTvedDnksPkC3lDTpLLDWxTcpMcXW7b0sbkJ3lKvpKf5Cn5Ss6T4+Q6OUlu kqPH4i4vQY4EaoTuRx8iB0cnB7nXxfbNcp88mZCId1zT3u0O1muh9TzRe0v4 SW6RL+vc5hy5RE6VcLKEU/TFbl73XCIedfe3eRY5N8c6y7H+yC/y6k1gfiLO kVO9PJ7jNrlETpEv5A05lVdqLq/UHLnUx9+7w/fkXIHnSrg12PcrObuP5/p7 3UD397ld4DnuI+d2eyzP/SHmAeeHun/A7ULPkSvDPDfc/cRcG+o5cu3RRBx8 zGuOC/HyBbRfSeT/2bbjONv0aMxXMD/eBt5KFEenWJK7r7lPrrycKJ5lGWN9 Hvk+0ncYYL309XfG+1vdbV/aZ3oibnH8XeBV92ckin2dPEZukVdd3GaMmpUo xtFGU30H3uUd33W8vzHJfPgR+DYRv9gnf3paTna7ovVEnVa2f1CPsxPFxK62 W2/bboy/ze9O8zvb+14zfP8JfkNH332m739oSNejfPYsv4W8JI9zrac5fscC v43vej0R7yd7P+1V15JnXuNvzvM3qYO5fjfv+771xTjzWaJYsyRRvGMMYtxh PGIsYuxaaA7QXov8JsZExhrGmY/cbmY9bva3Fnp/U+vnDetosfc09Tc+9nlL /d3mlkt9n4a+awPfl+0W3rfE363nb9W1Xub7LtQX+UDeMm4u83lfJIqnrSzZ Z2xlDGVsZVxd6TZj6zeJckM7S/aZJ1hDMH4xdjEXrip1xkqf38R7mFO+SpQ7 21qy38b7vvS3GvtOjTy2ymvIzer2edYaa3w2bftTIi7zHut8r52+2z0eW+9x 6uBz65B+xriQ7fPW+o1r3Wc9c5v30//oP/QjcpMxkjGdvN3k9t2W7Hf1d5ZZ t+Ty94n4yHtt9N2qOh89nog7rA/I/9+AI0L5mmPbPH4Yxrbavnzvdt+Fcofv sMP9bv7WTrcZKxlbH/JZzAf0ucNx5i6PFfvb+QbjNf29wO1+3ldcan6Px393 O993/91tju31GmKfz6NkXcv6pBzW/+n5Pz3ONn2V/sPYMtB7uH6X75DrtX95 nDmDubnI8m+3/3Gba44M9Qd57F+vKbJ+Cj2339/M85vzPZ9x/VMm1C6yTpmT qOOKrpEe8Vi4nbrNtcw3FZwzeEbZOHhGRfO8fGgPx7nvEJ+z1/rq53fzPYP8 jqN8H55X3nu32ca5/iZz3hOJ4gT5RC5tNc/YrhaqmchJ3oM5lfm0smu8ER6r 7Fxbxe0R/n4Z34HvOMZ55VjXhI/7nCqlcgzHH/Waas7FlZy7eSbzNvMucw3H jvN4Vd+TOjzGeqN+GO8Yr5lbGXcYaxifPsN87VCcaQd5n+/QFvJe3/MS3jmV b96Cdi/f51fIHSG/rYT5Cqn8qgBjXUJ58hCMlU3l/+Uhj0jlizdg/vBUdhiD 9lWh/NmUb0xlzxZon5TKhudDnpPKTu8zV4ZiyWLID0LxehTkFaHaYSPk2lDc uo68CNm2FeTJqbjQBjg1FYdupC1S+fnNaNdIxaOlaH8Uit3PQF4T0v1WyIah XH0Y1l7vGMT3Hek3VoO8yT7/B305FO/2ciz0O2k/5F+h3wH/Qh4IxW7qLKy3 BPLCUPw8Hu1mjgvnQm4IxeQTMd7cPlwO7YtCce8HyPqhGuQCjHcM1RybIH8O 5YBvIeuFYj/tMNq2YAyuYX4ejb0Xh2Im7VzRtr46ZD+ur4KxJqE4VBPtlub9 l7RPKLe9Bfl6KG9/B5kdyjc/QnYI1Uln0bahHHcO5DehHHQK+RiqE8jZT8zb RyCHh2oi8jfHHL6Svhji/pmQi0L5dxh9N1R/nAH5XigfnQo5K1Rj8K1HpXov dd/X+qde01S67Yb2QPvdNshOobrtbMhVoZzeHXKQdXga5LxQPXM65JuhnFsL cnqoblkDuTpUT4yAbByq716CnBKqt2pCPhiqwfqH/JO+OQDy0pC/L4f8NFQv PAt5ayhevAj5XKgWmw85J1RXzYZ8NVQ/vQI5NVST8X2X+Y3UZQ/rk2+63O/K hzw9VV1wAtq5oZpzJOdDNWhP+l0oBjGu3BOKLe0h7w/9luC+Qu/tDVkUqtXI 2T7mLWNPnVTx5wG0B4fidi2MtQ7lhjJoZ1L976Ez+ttDsYh832LOfxiyPe1O 3n1v7jGWLAzFk9NwRlaoNqf+xlmH5Owk83Y35J5QDbSZZ6aqqeaG+EQuMUbu CsVJcn+B+U87f21bU3+/hHR4bcgn6Y8NQj5M/10X8gf6Au32mm1XDFnb8flJ tMeG/s9EPv5kTk7geaFav1EofjF28b47Q3eeEeIieTgU8sxU3OPZ/c0xxt13 Q7H3nRCP/6+9Qz5G/6Kvrwz5e51Q3KHtyK+Z5ti5qexH270c8m369dOQE0P/ G6sbirmMt2el4je5zZh9tuP2ilC8YKx4I+Rj9K/nQ35CH2EeWB/KBeT+ZPP/ q5Cv0k/J92nmPP1mmX2HOec85x3mgSWhXPAfU6XBBw== "]], Polygon[CompressedData[" 1:eJwtlWm0T1UYh//s9xD3sjTcul2zWq1lZRVpTiuVJjJdM30SRYm+NPehD81p FVcTDRYiQ5krV4ZoXqhkNUpkSkpUhFDPz29/eO5+3nv2+Z999n7f97QeOqZ6 dN1SqfQQBDzCn0dhRiqVesDT+A3wNl4LP+Kb4Ht8MKzGV0Ff/Au4GX8G3sHn w1X4ZpiDT4JW+N2wCF8GK/CVsC75N+7HHwjfOxLa4NPhA3w2nIvfA4vxN2EG Ph4mJs+Zhr8Oq/Ge0Ak/qyiV6jPWEE9lnBJ+N82Zhc8Mz/1Iv8/cc2A83oT/ PxVes9a6BG7Fm3L9EF6Gj4AWxEeJy/Fv4GsYSPwtrMM/hw34gOS1t4e5ye/w la7pnuR71uJroH/yPSPx1vx+HcZGcAtUEu/nWkO8LT4075f2/DB+HizEf4b1 +JfhZ+sZ+/EOsADfDLfhZ/IbBWNjGA4VxPu41gDvAlvhLeJXtMf4h+Gz7gf3 4ffCsOR36og/ls9/KlwfzqHavL4d+E7YmHzPOLw5dMbfg434DzAoOcf24Xth FL4JPsE/Dj97PTyJPw4v4u/CtfhumIe/Cp/in4Xnak8vC+eQcme5zgj/LnxW euYu/Beda/Iax+B3hnNvArTEnwg/a1ZyrVwevqaa2YZfE94rrUFrGxvOHa3x FPa2O/Gf+F44n3iQchavYKwi7s14mPggXEA8WDWAVzKeRtyT8QDx33AS8cmw J3mPGuGN4Xf8djgRb1LYNadZ4Zwtz89oUPjMdda7iU8vnONl+RkX6l7VNF7F eAbxAMZ6ELn2asJ7qRo8tXCONszv2I74bBibfE+pcI4oN7bDRcR3EI/T2hjr E3fLa9kFBXE92KlcVT8onLPK1bpaA3Eq3Cs0R7l/DLYl10ArrvXLc9Xg/oOj 6gHJc1oWrjHV1jHi5sR9sh9JrpWDsCW5Zu4K95SafN6H8H9gcvKccu4vK7xW nUFHfCDXp+msGI/AX/AT8VadofYJXkv+X3vmdyjce3TmLymX4H38eXhQtQYn hHty17xn2qtfoZZ4qXoI3kc5h18Bz+Ez4Tf8unBtqGcsx5eF56oHL1FuQ3Xy b0zGr4QXknv4FvzqcC9XTxgVzpGq/I6jw2faLOf0pPA7aO0roQU+MexvwGK9 h2o0+ZmdtRfhteqZc9V7oJdqXzWotcCK5Heajc8J927NGYI/G+4l6vnzYH74 3t7Je30g3Pu05w/jN4XPUt+kS8M1V5lz8pJwjVbkGrg4fKY6S+X0y+GeoF5w /IzC76h30xr34H+Ee5d6Sv9cQ6od9dwbwz1BvUA9V7n0b7h3K6eUq3UK14py dhHxwvC7aM/6hnNcua1vRK/cQ9Q79I3qkXuGeoW+GdXhHFdu65t1PJcK545y 6n9A9BWj "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHfclmMYfRv39YTsVXb2+MuWltFUWkqUEvLFp50oTURWZCaloaQhLUok ZDXILmWXkSgVKj6Vc5zz/t73j/M793s/z72u6zrXdb9PtWu7t+xWPpfLzS6X y1UAn5LlcldGLjc35XLtwafi90tofwJMBu4H7gXOA84HFgKTgPuAD4HqQA3g J2AW8DjwGfAc8ADwBTAVeBBYA0wDHgK+AqYDI4BvgOeBh4HvgBnAI8Ba4AXg UWAZ8C7wLPADMBN4DFgPjASeANoClwJNgRbAxUBdoAlQG6jj5+QL/B75QqCZ +SLgA7/fGFgJTAGGAy09Xz3gSs/L+S5zX32gNdAAaAhcbm4EPOn52gBXuM3x rTyOYyrB/neCBwPtvD/uqz3Q3GfqYOZerjZz/Y5mzneNmXu51sy9jPL61wFd PJ7jupo5rsRnoy07m7mXG8xXATeaua9SM/d1k5nzdio6a3Pblf7o5nW4rzKP uRXY6DE9gN+B64GewBbvqRfwh/fUG/jLe7oZ2O499fG+mnnNp3zW7sBOn7kv sNtn7geUC+3pNmAJMBroDzwNDLAvEt6pCAxE+2+f+Rbv8QrbaxwwCLgD2CPk yyFJGqIOatuf7WzTYX6X/qaOqC1qbG+MqwwMTdIQ447xSg1RN4xRaoKxz7hh bFJbjGNqa4RtTW09bJtTW9QTY5faop4Yr9QwtUsNU1fUeq0kbVHHjElqmtpq 6PGMtxapoJ+8nshNUkFLTb12C/uC613m8c3sp3Y+Qys/a2Jb0qYrknR4iW3H Z429p9Yek9dYaz/juDbeS1vPxbXbe728fvi7zD4s9Tj6slMq6KpDKujq6lTQ VcdU0BV/M24ZX9d57U5uc+0Sz5vXWJdU0FVJKmjphlTQ0o2poKVSr93Fv/M6 5HjGDeNtsPfRzWvcDdyeFFuM+Vs9ltrp5XWpnd6eh9q52fMytvt4D9RdT++f euzhs1E7fb2nQd4H16KO+nkPFdBemqSnsUla4rvUEPdLXY1P0gz3OiZJd+xn 7FMD9/gZz3OX+4d5vWeSahI1wzhk/DPu3kuK6ZpJMUPdMTaPCMU2+w5Du2oo H3MMNZXPTdRLXYN6qWdQL/UN6q6BQY00NKiRRl5vuPfFvpHun520JmPk7aQ6 OhF4xefn2eck5WjGz6/+zRw218w4eyOpPtNev3jeUT7DCJ/jTWCe7U47TUjK LYPcRx+8at+wbzEwv8gf4+zTt/yMvjokNGa+nw2zb2jvSbY5bTy5yPbPFdlj SpGvphbZflrR3qcX+eF5+2EB8GJSTh7ts/e3H2YW+WGW/bA/9rmoyC6zbfMD 0L+hyKZzbGf6eYb9PMBrDLSd5rlvjO2eX3+B9zDP/htgu7xqe060f/O2ec32 4V4WOQ5eTsq5tWzv+R471v572nZf7Oec4x3Pw3kZ6zW8pyXe83K3+9tmr7vN vqV+h+su89oHhsbwHdagj5I0dWRIM8y/Vc2N3b/Ce67uMYwr5pY/k/LLR+6v 4TU+dlzQn9/a3oyRT5NihHGxqiguVhfFxZdFcfG144Ix9XlSTDFnMZd1tg+/ T9Iq4+JHxwW181uRzzc4LpjLNjoGyJuS9LXJv5nv8rmP77LmrkuKu83u7+lz 8/zMp4zBn5N0zzy7xXNsdbuXeavHdvbYEs+32etSD6xbrJPbfEbm6AjdRfL3 kH9SIV9vtz12uN3HvMNjSz2G77JWMF939RzsZy1knSjzu7lQrmdO/9f9rCXM +zv97i63+5p3+R3Ou9vvlnn8LT7HNttqt9fgWGrl/SStHBQ6Zz6eWUvy8c36 kb+TVfT9qqJtMsRnKu86ROZv3uv4PPM7vFdV9j2bvyu5JpH38L1rT7f5/NDQ b7bZt5ffudNjhjrmGB+sD8M8P+vXPq5l/8+J/1WR6cy1gX0y7e1E8AWhHLMv 2ntl2nsO/G/Idr3Bbf0fLaG/XCZbl6Fve8iHa8HfhGJoG3hryPf3gi8O1YF7 WEOtYWqSGqeWaZtDfcal9gHtfRf48pBfmAdYO3kfy+cFtp90m/mBuergUC6j nar47FvAG0O+/w28PqSbn8HrQnpg3wb3/wA+O6QRnuk7n+tb8FkhjWwCnxuK pV/A54T0xXV+91oZ7FTTMUbbV7L9ueaPXpd2+tO2+gN8XkgvzOHMs8xzrdF3 cqZ7x9dorw7liR3g6mGtgf+2L+i3XfYdfVXB/ioPrhHSyE7w+SFd0A9H2hfM 2czLzMlHg+8OaYNxtK/j6hhwaShXVwM/FMq33GOr0D5pj59skzbUQah+1GJs Z9IIbVMxk30GcM3Qf+zu4NPtX9pjs23Cs/7l83Lv/3j/9MlX9ksP+i1U587k +qG8ekZoXs5J335v/w4FNwppnbbZbftw/Yv8Pv38q309EDw4VP+qYe/HZLqb 3AccFbrrlICvD9W65uBDMsXjTSFf0j4jwA+E6tXtoXk5J7VBXzDGeQfjvWGO Y55+4t2GftjPvuAdjHcO1vb6ITvShi3BVTO9eylwYCadHQauF6rn3cDHhmr6 ceivE6rbJ6F9YegucAn4jpAuT0P/NaF7B+fo6nn4zaZD6G7SkL4KxdGgUHww No7CO0dn0ifXHOJ1T0BfA7QPB54AjnccMo7ut62mgKeGanPdUE5hPhkFfipc y8EP2p7tQufhWZhvRobsOh08LfQdaDL42dD3oTWhWGGcUFtfWl8zwC+E7gET wOND32PGgEeHvjNNBE8K3SHGgseF7gePgx8Lfcd6BPxo6C4yPKQfaucl2jv0 /eld+j90b5jP2AndV14BLwh9l3qdcR36LrWQtg/dOd4ELw7dD94GvxX6RjUL PDP0rWsVzxq6i8wBzw3daVYw1kLfsZaD3w/dIZaCl4S+q31CG4fuLgfDrs1C NWklzxqK049p+1A8VsE7LUL1p2Mobhgzx2fyN33NesJvf6wpB4CbhOpu01D8 MfYqZ8oXzBVVPB/zOWvU3q5TjUM1jPXrP/Vhp2o= "]], Polygon[CompressedData[" 1:eJwtlXnwV1MYxu/86n2vou1XWQqJyM740zLWsZQ1M5axZ9/aRKoZOxPRviOk tGmxJEUiiRTaS0WFUJqENGT9PPPcPz5znnPv/d5z7nmf5/227ti5Q6eaoij6 QF24MotiNWyLongD7kf3gHnoD+Fq9LkwF/0mnIa+F95HPwfr0GuhM3o7PIR+ GD5GnwwPoh+Ak8LXuqHvSa+l3zQui6Id84XoOoxrYAWMCu/pZvSj8Cn6bWjJ 812Yv4duwngT7Mu1hhrhZ9iuNbi/C3qi74J30fPhDvSdMAZ9ItyAvg1mo9+C S9D78L4G6XceCwtgM/emQVf0FTAivIeDePZ25u+g92a8Fm6FWcxnwI3o5jxT X++FjlDLPBmbwelwH3zAs6PD+vr0XnRtf55dxnwrupbxJ9UKdoa/8Tr0Y7AI 3ZTxbrgcPmI+B3qhO6VroWuvoWfA1+iBqnn6mvRXcBR6JmxAvwpHol9P35sM n6CPg+no7/XNZVUD2BOalv5mfWsJc3Q2MJhnN8Ex+lb4Fj0VDub5E5i3Q7dg PFq1Sj87BVpx/wCYiW5eefPA0loenScvwpDwO+vprKHgWk/VKL2m1voGeqMP gXHoBfKUzhoGhb95HPpwmIheA8+iD4Px6BWwHP0FjAzXZCt6C3QL10TZuCZd e2VkEvoImIReG/by2em15elp6TPW2a6HWdUZ6Ns3KjOqJQwNe7AN+pZ0Fk5R RiuPypvfwRD0ofAKehm8iG4LE9CrlOF0jVVbeWBJOlPK0hbmi5U1GIb+AXaj /4Ld8iack+4J6gUtq+y0T/cCZWiM1k6fXT/onvaovKkeUpe1Av5VrwnvdSQs D+/5fHQTPZPOiLJ1YTobylgD7u1VurY1VS2WVntXTcam96C1V4d7ySrlJtxT lM2rqv0rozrbhWkv64zlpflZnWXYu3PT3pGH5ZXZ6drIM83Yy8WV9+ule0cH xkbpHqLe0woWh3vQfty/lHnj6pnLoEXprI6F35nvgj/kJajDvRroET6z9cpi utd20TX0P+na/K3MKptpLw0I1/Jz+DFc0xfQz8Mz6JVhb49Oa3lcZ39BlV3V 4E/tJb0XeeA/dFF6Le3pM+bHw/DwGuqNyrSyrB75SLrnqdepxw9mHAh90UvD WRyU1srkynTPq61qNkLeSmfvadiDe2Vp7yjj56X/Q/TfoR6odw9Ne19rKHtT YF04g+pdi9LeVg/biN6QPssd6mm6B7+GM63e07p0b1cP6st4FjwZ/g95Av14 unaq8anoNqWzIY/1ZxwAS8L/gZvlLegaXmMiejz0R38Z7j0T0lo96KK0x+St +lXtXkpnWTXUbyene4veoay/nPa+Mr9J3k1/m9acmvaIvKEz2Yn+DbqHPddP 3kj/N2rPDVm7Uems9WJ+BmMfeSrcs89EP6U9hc9kB/qX9H+v3jkqXUPVThkf jh6W7l16x/8cCzQM "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0MlRAlEUQNFGQW2gkXYIgI2JoGurWLMiAIhDHCJwBI1DQCNwZwriADiA Csrp0sWp++p11f+/ulRrVOqpIAh22SKZM4RExBQtl1lhiSwhB77lNSLHKgUO 7dd0nZhNNjiyv6dsvk3u0Std1EtN640uaDv4e0wrifb0lwtmnPNDlylnfHHK Nx3uOOGaY3acs82+ecIn74z5oMmIV14YMmCPJ5554JE+b1T//9scg2kpZQ== "]], Line[CompressedData[" 1:eJwt0Uc2nmEch+HPJvT26UQnIqIPJAwtwQLYgD3oLeZECdG7mRr1qEfvZReu gcF17v/zO+/sDTY01TeGBAKBZgY5YZ1o4x+N0iGN0Q39osOaoSOaqZuao381 W8c0V/9rvv7TPJ3QAt3R7zqtxTqjJbqvpTqnP3Rey/RQq3RZK3VF36l2r+oF l/Rwzh3X3FDhm3KW3AfUuLu1nwV+ei/qLGfsUmvb0zde+eZdRJf7N5MUek/p Vx3XU7b45b2tLzwzSpatU/t44pF0Wxod7l7ueaDO1q4pmkoiySTRZg9qArHE E0erPUIjCSWcMFrsRxyzxi0DXH3+6w83u0KI "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{332, 331, 335, 731, 722, 723, 721, 725, 724, 647, 727, 728, 726, 730, 729, 648, 733, 734, 732, 736, 735, 649, 708, 823, 693, 720, 672, 718, 671, 719, 646, 334, 333, 332}], Line[CompressedData[" 1:eJwl0mlTjXEYwOHndOpUWlSHSkJZs2drEvIdfAEzXhte+wRmSNkKhRkkOy1G RKiGEK98AspWKopClq5nvLjm97/vOXPmzJy7eNfeHXsiQRB0sttjJ0UJQVDH /GgQLGAu8yik1n6OFpBLPnkct5+ls8kmTg7H7GdqFulkksFR+xmaRjKppHDE PkljJJBIlMP2gUb44/2Pv9QwxW9+8IufVDPBJON85xuH+MoYI3xhlCo+M8wn hhjkIO94zxv6ecsA7ZT7PXe0gQN84CPPeM5pTlDkc+f0BX3cY5vdXX3CeRaa G7VYL+gZTrLIvJiX3q+4T6W5Q59ykUtstWvSs5yiwvxAL7PEexlL2UyvXT1b vK9oDw/Zbu7U5XpVS/SartBHukqv60q9oav1sa7Vm7pGb2mpdul6bdZ12qIb tFs3aatu1DYt09vh95IY3gAxkkkhNbwX0kgng8zwtsgimxziRMP/3B3385oe 2miklv3si/y/92n5gFxC "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Ht4zlUAwPHfbENRopTotmSMXUxG1gWzmQ1hpEySKaRMK6tWrVqsWiW3 CkU1t5SKoqglVKSrS9HNpbtuFF3d0uc8/vi833PO877P855zfu+bUDS2oDgm iqJMLzWxUdSF8XFRNI7TmcJkBpMYH0UXaCmXM4GbOIsHeJD7uJ8qzmQWs5nJ 4zzGGTzKdB7mIh6hMzMYwpN04Qm68hRX8BVZ7KQbXzOUb8nmG3L4jmH8Qnd+ JpdfKSLJXu7Vc4mMYzhsfIT/aMcBDvIP+/mXdP7ib/bxJ39wKHwHZ1fNGEoo pYxyKqikiolMpoHPTNW7tYJU3yGNFNJpy43WC8kwztS7GENH82K9gUG0N++k d3ItHcyv0xIuC/s0P0/voI1xMi241Ly5DtRzdLSerZeEe9UBmqDXhPvU/uG5 0IJwjzpKT9N+2lT7ajMdqadqHz1FL9YmOkJP1t56kvbSxnq1HqM9tY7ma129 Sm8nj4n0YBLDuY1bw96J9d44alGbeDKs19P6HMvxHEcH6ydoQxpwIo3oaL2c 1sa/61528xt7aGX9R/2J79nFD7S0fouWcWV4dsLd6c2kcT7Twl3zNAvCGXM9 Y3mIC7mHynDezGEu1cxnXrgnnuFZFvIci8K98QKLeZ4XWUILlrKMl3iFl0lk Ba+ynBpeC/tgJW/wOqtZFfbNm7zFGtbyNkm8w3rW8R7vhvPjAz7kfTbwUXju 2MRmNvIJH5PMVj5lC5/zGSl8yTa+YAfbSaXQ76Y3vehJPnn0IJfu5JBNN7Lo Gnv0P+5/RyyXpA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1337, 1336, 1441, 1566, 1674, 1603, 1673, 1604, 1675, 1620, 1832, 1621, 1643, 1642, 1568, 1677, 1678, 1676, 1680, 1679, 1569, 1662, 1663, 1661, 1665, 1664, 1570, 1646, 1658, 1623, 1645, 1605, 1818, 1622, 1669, 1670, 1567, 1644, 1657, 1476, 1443, 1337}], Line[CompressedData[" 1:eJwl0slTD2AYB/A3/MpafwAXO1FRyZpDBzOuHUw5NsOxVDe6ddC1RSGUfd+X QsgSyS5LtqzZy5Jd6NM4fOb7Pt/39Mw8I3PyMnOjQgh1LIiEMJ8qpkSHcIWr tHCZSyTRzEWauMB5EjnLORo5w2kSOMkpjnOCBiZzlGMcoZ46JnGIw+znIAeI Zy/72MUedjORHexkK9vZxgQ2s4UNbGIj46llPWupYR3jqGYNK1nNKsZSwQpK KaeM0SyjiHkUs4jFjKGSKpZTQgZTySOZUTEhZMl8ljDcfF3e4Bqt3GSE/ra8 wy3auEt23+7+FspCCkjhPg+4xyMekspjntDOM54yjRd08JxXvCSNN7zlNe95 x3S6+EAnn/jIDLr5wme+8ZWZ/OAn3/nNL2bxh7/0EOzxT86mn3d/oogwgDn6 GDmQaAYziHT9UDmMIcQRy1z9UjecS07k/133AgnabbQ= "]], Line[{1440, 1409, 1413, 1414, 1415, 1416, 1552, 1619, 1817, 1618, 1815, 1617, 1816, 1636, 1814, 1616, 1812, 1615, 1813, 1635, 1811, 1613, 1809, 1612, 1810, 1634, 1666, 1610, 1808, 1609, 1668, 1631, 1652, 1608, 1628, 1607, 1829, 1828, 1599, 1827, 1627, 1639, 1630, 1834, 1629, 1653, 1600, 1830, 1611, 1640, 1633, 1835, 1632, 1654, 1601, 1831, 1614, 1641, 1824, 1825, 1821, 1823, 1822, 1655, 1656, 1475, 1440}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdV3k41d/XRSkyRakkSUpoMpQyLlOTikJFQsr0JWRISkRJlCE0EWWoJJXM hIwhQ2S8873m+bqGlKTez+89/5xnP+d59ln77L3W3kfmgoepAw8XF9d+bi6u /+0mMfwN1gfGcaa1X/5c9Bye5yf2Z0WNw+/XcurP7h+Yay5+EEwfR+KKljFB qR8YP1Ec7bR9AhfizvPFu83idV7wzFm/CfBbzXla1s/AulPthU3pBJoOq9IP aM2gh2Ic9fDfBMxJGUmtBdOoDpFtmdNjo/i3Rub5fdPovvR3883bbOx7ZR/m XjYF9juFf3I1bIicWUkPPjyFhL7yyKElk1Ddqumwm8QBd76VZqfSJBrjcpen 3uPg6PcVLQetJ6EWuFlkAzjwbpULUw+fhGNx8jmusUmkqFvHvc2bxPmdBwMd rSbxSWeDwBPmJL4MqUvub2HjHwM5C4OT0D23malZyIZ4HK/eOfYktBVdTlu8 YOOP7MXcoh+TkBydPRB5lw3fB8a8oouTMH+a6k3xYOPoKq32JsJONFy1LsCN Dfm4yMdhfyfxPYMzL+3KxtWl+iaG/ybhtHWHRLUzG8tJs/KphP3loXTRQyc2 uP5/ceD4/4uNN8Ux7F2EbXI6Rni/AxtDO1qo1v87FxSq5bdnExGm5JYQdqBz itl7OzZmnWVCJbg5mD/rvPGkLRuFMiZmVwnbysxM7sc5NsSOTilv4uXAw188 wuUAG/fFJH/X8nHwoTv50c+dbORRP2e4CnLwStFXIHENGxFNDTrCKzmo9oko OEPkjVnF/rBVjoMO6ejAAq8JqJyLnxzT5EByU6fkwZFxZIisF7U9ycFauZua 1AvjCFnxd12AIwcastFJx5lj0CwV4TH0J/yr7eq/ajOG67FmAksSONj5b4dP dPIoCpI/zbALOdDn5tkpMzyC62UhWlydHPitcK1t2DMC0/LyvbunONB2n92x J3QYQkw1bh/BKZwVvm0hTBtCRKzto1q5KegczLQXUxtCaVDY9aQjU3DWXV4R c3oQHwMrXwe4TOEC7Zkgd+AAlPTnvU+ET6F65XqPnsx+3PW/P/j31RQ+sJ+0 1TL7MJ+t1+BZMYUT5E+lpyT6EML0a48hEXWpSr2kZ9GLG6dCag6xp+A4V6Fh lNiDkqTaO2y+aUjoRyruf8rCOq++Dfs2TqPzn1m9jyYTKlam1N6d08j7PCKw 1JIOpyf/zAqJuvfQ8uCUhVFx3fc+5abmNFQebWT6NJDBpXlISkR9GpJtl71k N5IgWRP1TVdpGkt7PS/23u4Cz5vrFr3rp5Etp7JofqcDeS6N5Ua/ifh9V7/J fN2Gzerhx+99m0Kxnvw72+FWWD5zfMt4MgWrAEXWvUffUF+1KSLv9BROaZxr 63nWCB/LhG+vBaZw8cc6I/2+eqRpzn25TuSjdUL3j7NLLZwMZKckrDjYyDN3 /tjuGpzKdJRcNTkJWih3rcLuKvSb+WRWSk7CJ3dOM8WxAk9ms94E6LDBLzpg W5hWBoclrz2CLSdgGqKY7kr+hMJBuZJp93EsTDvd6nQoQuvafXKdQWO4vbE9 x0e3AE1ip4O4YkYRkqcUK2qXh7/r1VnrU0agL22nNl6eg+u1DzQ8I4aJd12Z YrYpG0ULdNz3H8LlNPOQxuAs5PY/VZ33GMSrMPaqh8rvkRph8OeXywAKDT5F Felmou6Es/dNt35o+27bpJSageTCIg19vz6w3TImfhu9wdN9XScr7/fi+C1m /KByOh5FkeZN3vRgRZGLm5nJa+RHcN5u+MZCUoB40GLiK3hbC4pc/s1E+TWJ +EbxV5jvffj35wwd/Pau32xevMSB8aPOZYI0VDcd9/hu/xKOK4XPTRtQ0P+J eXGP3UsMpWh2xzwl4a5UQIJpzEu8bzyW4MXfDTvvmmXuMy+RqyMWcupRJzy7 dLmE775CnsOAE0ejA4IdmXHUYwQeQZutc7/aYGcWSw87mI6nlwdebPj2HVd4 lZdV+r7Bhr7dYjLFrVirbUza2JMBI6ecVXaKLQi65FXv3ZyJCYne7wrizcg9 utHXaPUHZD3a5Ga0uxF7nl7VKLP9CN2Ysy/TrnyFiXRh+L6JbPT6BJcfGajD S5Hbt0WLc8HY93RZiH8t0H2fL7whHx5LK7Qa935BefLQ4UiFIsSiw+YRuxp5 uZdHnHRKcJN82Fu1pQq3LR+nVjd/RvmuJN/mjkrEBrTb23hV4qJ0/EDdnwpE 5Ej9W1pfjSsx2jllhhWwEHz+MdatFmarE5pnzcsR4e1Xluz0FdVda/1GznyG wgvyU/7iJpxLf/A8LqoM71gyLjLKrUibeqTn9aMU3dRfz22U2iDMn9GtH16K czlDaspnOmB7sz/zz8FSjKgsUXyV3IUKNn958/ZSnD9h0cXiJcO0U5nrl1Ip Vt64r2wvQgWliKqVfrwUZ/WeHorYRIdHyd6Mh0GluPtbRslLlYnph1NrYupL 8aKE2rw0hYW1Nc3ZIVvKCJ1wVlBJ60GQWWKGe1wZtG61/HctqReegZG59qs/ Y8Z03QGbyD5EvnRyin39GV/FxwO/XO4n9Pao9/4j5QjuPZPBc3AAL/+EZWYu lMP8vG8VXWAQE93hixk2FVidEn8ypnIQyZ+zkjprK1DYUXi6ynEILOEji1Jq ldg6MlzhvTAEdylryRPvKvGUoaj28+YwslRLcpNtq+Dj9KDWVWYEDZEL3td+ V8F+aN+7+KgRGDXduvM1qRr3yn9d+jMyAr8G8x1uR2rgqlivIbB3lODF9vFD izWoM7a6o+s5ioaIHY4GxV/gq7L/kCCh70JHaw2NA2oxtjbZpaFqFEV7xdWs jtRhtb5hTSllFO564pO2UvUQzYwYWj4yihbFgCP3jnyFgq7dv2b2KIJ3tHRp hDTA62d79/DgKEZogbvPNzfChP9ajFL7KPieGIoNbGkG97agRfn8UbDFrB6/ u/cNqcdY5YJRo7AXl7aP+tsCox1VtiQb4j4HvSsKFa1QPf83xlx+FPwektXd d7+jdpbpLT02gjrTU9lfLrfhESMqrvj5CMYu+zuW2rXj8JnOsz+NRpCeNld7 6GwH6PdTxHQ4w6hb1+bQZdkJ38NJ9eSoYWx6fDYj37YLSwTi3y/dNowou4Jp IdduzAppm00UDWHbYB2TcZ0E7R2b+EoNh+C47eNBZhkZtncvjXfnDSLfO2Pb riVUWFa9OrZcahABB9kyqodpYNdHlD0LGIAUW959JpyOgUvfg/909UOJz32Z 2BcGLD5KiXxQ6McGXNDq+MHEW35VIUvfPmQGCXKviWCBHGqU0lrWC8m9e+0p HBZumRfFxqr2YlZUWPqjSQ/MfWa3h6f3gP9zknUOsVvYJU9pru8BafLD2r8/ e3D5X8p3PcLPhE3p0kL0wk9lg37wHyb6Ta/sFwrsxa/i2GWkHgYY66K1DXJ6 wd2ibrO8gY53nvveR/f1wng2XormR8Nxg/ZLRUv6ELX+iI+VMhXkpl0LcmJ9 GFspz34wR0ZcJ7XkrXAfRIJKo683kjA6VFB3a57AeXWgmpPTDWfFjr927b3Q i4l2j87qQrXfd9tLBI8ajxy2SK3uhHSI4X87LXtx71oBfc1UB9R2x0uG8fXC P8tJ0ke9AyG5PFyp73tQMMRNJye1Y+5X6I5Gox5k6ybE8Uq3QzAmMNChlwXe mXtlVmVtYBtvlW/2ZaEksjF1xq8NeVknDA1XsGApUiKXdrINDeuWrfmizYTD 3Zm3fIfakDDBq7PKjYG0zQkBMRZtMH/pVFLyig6HhaYp/zttOEy6czF0lIbv y4Q5HU1tOP4n1+KTNg0Pz1b6eO5sx62ZK3KyKVSknH/DP/CqHSl66nsl1lCx 5nHRF989HXg4I6YekURBt1tf6ZruDviXJ9wR3k8B19sfC6fud+LlUuNrrAEy Old6bL1o3AVhhQjvhddkdFzY5Ssk1Q1q1sc/kv5k/Jv7ZtMy0w226IbJBjsy qDQ/7p5vJLhe9b3vcJaMhgOrGCffkvFY+rHPFnsyeO13Tm+7RcGWkbkEmUAy Lrk/Kw82peJFiOg263QyNuzfur9oLQ2SJTxXKxlk3NqUExXwjYY5A+HDcrIU WFq9dZjzpkPHVEvezJuCY1FIa+RloPNJown3Nwr+S8hX3nOLgehz1rx0oi70 d7aMzA0xoGXomhOaRMVR6eoPDmrEPDUU2hInQsPi6klDMzcm5kgjrdGhNBj7 SqTwRjIRpNaquchF8OOzla3cYyYuzFQrRd+nQ/80Y34ulIlwlY/bL6xhIPFT 94NqGyYODNMGTF4wMFC5RuCFNBPv42OVVLcwIR/D+4PcyAB/IuMXO5WJ3KED 36YcGGgOi3QsEWThk1D05dscOqJvBjiM67OQcePQPNzpKMj+ZL3Fm4UwrUif vh4agnTuLT5KZGGorjZthzENvO16bbGfWTi5rMKgM5+Kp33522JILISM9126 J0lFNi1GImichTjKoPucAwVjUY2K7rMsrPjgsOJCPhl+tXI0T4K/TQUfZxOF yLjSeYuzpIeFcvdrXyW9SKhJU7dbqGWBmy1aODzQjb52k8HbaQS+BAuZJ4QO lZO2Z4n4scD/vGNAg7cbx6zC/A8cZGGwT9TyYl4X3EjHn4+LsGAfFP1c4noX dH9Eq2S/Z+K/I+IxPae7cHXzzs+Z6kykq34wLTXqQl+3i3xJKwMJ1gXpHmZd 8MxRdQt0ZcB3IOfmKXdiXl0yPbRekIE5xdaNNgldWM7smnXJo+Poo0Juha4u pGobMX450CEbSlPk39SNCgNbiUUZOhbWJ60W8O3GnKeCju0IDQPt0cw/nd0o eFApXFxKw5Ef/QrXtEkwEQxId3hGw5q/3Im8H0gw8OBZYXaXBrFO5p4lMmSs PW2RczCIhue+E6SgODJ0r7ofqr1Dg2nQfEUKDwVppiGLG5/Q4NvY8STPlQLj dQVll3JpyL//jnG4iYLC8da/yWQathizFfU2U/H294Zj4XwE/oVdij2uVFw6 uDmsU4eOL9uoTV3pVED8GM9Gfzq+c6z9dDqpaD4QFzBSQsd0k3hs6gwVVTmL M19WMBCSlv9mxVIaBsOb+/StGOCsiv9ZykXDVpmgvj9vGZh6X2c4NEqF7gTL O+0nA+nvk2I1a6iwdj2owAcmHqtVh3ZFURHF0t296yYTwaM+1VuPU6GXwJ1g WcCEk/1ZqRZuKn6qvW6W6mMiNFJRMD6LAu+lg3x7eVj4ebsrzdySiH/a76cs oWf/JJRvyEtRkNyTcn0bkf+JTNdN+j0Ej8fpX3REWdhc3ibjR+iIttUJrSsr WXDuVX79yI0M5Wmfjb0EHw69KdljsY+M/ZHiP9KXsfBxgv+L21IyAq2XXB9a YEJZOlzAu5OE2lffs38OEPPyW+8V029J6NxGSZOqZGKl0OZ4Fz8Stj9oEuUm eFtm8KDJ4AShR4PvXNQcmbi99cjGraok2DxYPn+RmLNqI5p2OsqQkCgwr6dC fOJPRt9QFpEkgeZf46VN8Db8ve4SqjQJxS/uBvLFM7Be/mq5xm4SvCDbX+TI wP5WjlWwEQlzj/k0rqgzIHCqujndgwTzKxefeYoxEJTvUyaeRILC5+6dCdPE PL812XqhlUT8rya1Yih0iGd/fG3HT4b01PyvLKLP6Wa0K2sZkiFxc9COv5qO snR5gRs3yahWDl+9UEWH8LSAZHAOGRlX41aN1dNhWJ38ebGXjD+cvb88O+hw /dQaUitCQd2Wha8CA3TAQvRU5z4K3pzz0djwm/A//ybC5CwFccxDQjMEvjSx 3Iv3fCmI3jeV0rqLgbqxO9FCERTUSDGWuB5jIMlNNsYxgQIPRvCEM8FHb82l m0ZTKLCatnfjuc/AI1Z+Tm4qBb28tOteRL0d7TtF4yP6ytRI1PaFegbiK5zk T8VQoCI7XTUywEBczAb9rUEUXBAeupvAxYTsTYFEGRcKhGbLLQ1kmTBZ4+H+ Uo/wH3vuuJAOE+9I/JXFYhQ8ly3jHzNhQnSExWPMIuOu7LuSsxZMGMdVKB19 T8bqHJE65zNMPM/aXu91g4w5rmMxGceZaL1S9lTrBBn+EUFRilpM3JP4L7VE kQxa9uZFK0KfNRR/O4QT+qc7lJZlI8LE/ppQ4fJFEi547GmP+8XApUSLVUEz JPisVX/ewGLg5bsLLAabhP/aHHe2EvGdXhHWUjlJQnPix0/O2Qx0l3gFDfwg gVc4IPXIMwY01zYbsbjIUMovMVt9lwG1LcqFcivJiBbRU4/wYeDrcEncii1k RMSo+KsQfcG0fMBLVJPAy181dMGSAedmteHj5mQcWpVsmGXOQFhd0N/1F8jQ kR1x5z/JgMvIJ6rkZTL+D5J37uM= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c8Fd7/xykj2YWikKT0oVAKiVcLFdohiUJW6pP6mNmJRKVIk3JtZVMZ IUWyst173eUaWdfmGtHv/r7nn/N4Pt7nvM9+vc9bwfbfM1dXcHFxuXBzcf1/ /dNJ1Vx1aQbNqQ+3Wj2exboy+cyHSrNYUTIont07gz9u7c3q5rMwbmg3dJCZ AT4O3V0ImsVdvtcTy27TcLq8krn1wywW6WVf25um0PSwSi2nfRZxGz7qG++d AuVM3Y2o5Vm8G6G/bU6YRA95p/XXrWwU0TwDh9ZMgltixHv/CTZWvUpgbAmf gJCdUF+BAxuMl3uMejUncDUtgsHwZ+PYS+YjV+Y4XpbaJZbFsqH/W0Y57ck4 2hxrLphksWG1XDgYfGgclpMuSver2LAMTqG3Do4hiF1WzNfMRndv5axF3Bj4 lSVkb1LYGBHSlH1+egy3L8cKf//NhkBY34EHfGN4MFlvumKKDflfXwJ2lo6i QmzivhqbwzVh12LfjSL96bncC4tsFIT3mErdG0XG49hvgX/Z+DL9YSbTeRT/ 6GnbVXC4XX+X4mqnUXD9r8zB4X9lFF4ha5+Dw0e3j7VV2o9id6GJSgCHQ97L XpC3G0X74EaZRJ453Nhy6eEvo1Hc69849G3VHDIlRRWfq3LsuvTn3UJzmNUg DbmLj0I0OIHgKjOHwFMrdhz4zIJkQi9TUGkOXZ/Fbp69xcKj1e9mYtTm4NJs l7mkyoLoRvYr/n1zsKd+79EdGMEVrQdP7Y7M4aqAjYpg0ggCeUZud1jMwUjh RPlp2RFsKPr8YNh1Dg0aecMlL4bR8k2t7F3gHNYRAsL3SA1D78m5kanoOaS/ 0El9/2wIdz5+G2SmzCHbIDRIaN0QNkhFb1atm8PS6RDnDoVBTKSKFrawOOzZ Lnp99wDCJOfivovMI930pbOz8W/YRlyzHtsxD8Jv1btuzv1QM/mP74DxPJgh G9W0HvbhHvXYwUSHeYwmyM95fOyF5ajW+I7787jPctMdjO/B9+l687HkedDr Y25ZRDGhZtM6+bF8HmZlVvauD7pxO35Q9Vz7PCb6DrzviWTg6dVTA7H98+jN aDq+WY2OrKZvMqem5qH+2UYw/xwVNQ1bg88szqOs4NnwlQdd+CX2w9RsmdM+ 8seXGDUSLr2Wdapiz+OlcMnRW1MdCGMMZJn+nsd381Tv2x1tyBA2Fsyvn8en 7B/mKqQWOL7udm5LnQfpoVaj6p8myD1NPpTjNY9w6smL3QGNWB+Up+mEefD+ /Penz7E6BL/x1zr8Zw7jCzJeW87XIG+PE+vSmzlkHa/t2iRQhTFTU4oq53yv Vc9cmpCthG+j2ILIRzb6xat6BOTKIX/giq+2ARtqCnVuOijB5VVaY9UNs/jz IEHDo/MT8sy7Xxx3nkXVrcDuVMdCMA+VPmrinkUeSXyrtU4+PvPXSA89n8FW 68fHBY1yEfrrcL6C6gyk3V8q35TKRkigjtx82TQM3AvL9nN/QJyhp8LAqWno ebZMeR9Jx/5g3Z8XmVOQC+nTrOtIAf9YfUbwqSmcu2xz01s4CWQhgsaB8klY JZaubv2QgLnM2iFttUm0Uo7HuR9/i8rS++nT7ybgodg3c6XlNcKzFKO7JSYg YBeoa0J+gQelB8+YR4xjrfPnDZEnYnEz85TWK55x8FgWtQTJxeBwwD+HS7nH YFhRNaiy/ymOR0DvKdcoqsJbN1e9jsJzD+Fbw7wsbDEMvEdyeAT3fPV7f3KG cWfAadZFLAK6gn9WmjkPYUuN5bGs0/fRbuehO7tzEGuHjQguwqE4dT7XpYh7 AGY2aQEFqiHQLOGasu3uR9iBKbm7ccF45xFjl9TQhzVznowXp4MwxXufvLm6 F7Ui+TYf9AJx63K9VmduDwoOKVtsu++P2sPm7AvvmbiyW26Za9oXNm2Bnzbk dUNlXoF/Q84d8KZpdkZUMeA4uRRPy/GBOfTHNWvpWLPmQ6AWyxvNXrOM25to eKNk2SRs7Q3b9GBCeSQFq5YNrzGWvDD3MlRHUKQLRNXx5541XpiKrLv0mXOP /awvuF4t80Jy1Al5n1uduHIxy+PGjBdyTjEWtrS1w8vVxPazizeob8NSP5xp wyOFiM1Gsj4g7cj4rjjSggqV7GtlwncwmXBpXUl8M26uFq/cp+8L97vC/hVO TejL0m7en+eH68LW13WfNMLl3sDRxBsBuOnXZSpKrMPWJsHZgPVBECPYVR60 +Ynjcb8WBH4EQ0lO7ZKswg+Us3iv32gMgcieiogb66tQ6BHpxtgfhn357Ze8 D3zDs52vTr9XfADClxeksZivqFPv1c98/hABd00GB8Qr8PP4r+5pYhS0klUa sh2/4O39Ym2Zo9Gw+msom2VZhMZNB79n+70AqoZty6YL8XCHufPQjbdQ3Pmm d6I5HyNG0srLCwTwNjSLtUznYtfvtHfuf1NQuSGXS4TDeYp1pde4U7Gnq/jP salc6My58tmuTMWIzyhP6GQuRPSe+lnwpsLPxVi6ciIXxbX6m0/ypyJUulln eTwXAj4e0wYCqZx4qxrtMZYLX1We6d3CqfjtpyQ7xsrF9WFq+mZxjr/iT52O I7noD94stUYyFSrKUY+2U3PBW5r3Onp/KuKTu3YsN+TCTeDkgJV9KmY01JP6 ynLxe+TXfzciUyH9ZguDnp2L5QCNkpqCVNh1WLPeyuaiSTRX1NIiHZFT/Hdd n+bgr3bYnVsy70Gui7fgE8nBjmMKAeuWPkB7fTvhyqZsTMwfpTusyEZya0+N nUYWutgkeePYHLD5rt8U7vsAp0rPcDmzPBRLfOG3zHsPBit9SNCgANMa22W5 fmWgIqq+oJWzz143Tu6OWUjHqpvNWo4/PkHoq1B1kGY64o8Gbp0tKwLJxuiw rm8a5AdVu/OpJTDKqXip05wK0bqWhialMmzcERLTfDIVt80abo2LVqB9iRoV xdGZLUGBz6kbvsJ45HLy3qspuMKm82trVeLDe2GZ0MVk+C4b1AbYfkOpQfOx wy+TsdflfMw/8d8h4mWwcEgpGW5rtIaSTKthmJAWUlGahPBiWlaRdA2m5pTJ x2ySEPN2+8L4ilps+uF5zU0oCftl2q89F6iHX5ZFT8O3RAife5NWsKMRi9xF o/MhidjI7XMlSKsJpdHRMlcNE3HR+qj/WkIzNNhHep5JJEJOSPq85KZW9OXG ms+MElAkds7OJKcNfEc/3ZkiErBXR0peckUH4gsvfTGrJaDywH+En5c6MZN4 aBWxkoBNQwoHdlUS0bDNAbs5/KnXsXxiBxlF8pt1t9UQIFP+X1/42y68c8/8 4d5GQJDrSs0rklT4+rzfuDBEwLgrIf5PKw3k4DtiZQKJGPePm009xkCguMGQ s3oiZs2LNLWVu3HrNTvnvXUi1rkfawUPE3cEK6W1YhI579txjQ2FCW61ebeq pkQ8uby88UR2D14ovA+WlEjCncdZ+3vv9CJyHbtVwyEJBcrbeL6c70PgwfNZ KyqSIL91qN1FqR/11NAmA4VkWG3YTeQf6kc0k6pREZ6MRPvtI6OE3xBa55yt N5+M6o27DxWdHEBMRW5h1L8psJc7WqozPoBdV9oHnoykwFiaq8gjZBBLvCb1 8jdTsfWsNoMgNIQLJ9/wnzBMg/nBoVWN1UMwmkiQPqeSjoiRZ+LbHIfhelH+ +bJcBuLEbr38OTaMZ9bHHmoovMfmHn0RHrsRzMudUO7X+AChaFMN9W8jSCG3 PVY+nYmfscN+sWtYaP1yY04yIAu2o3UaF8+ycN8xaoBcko2yfRu33w5jwTzi 5tybuBx05jQsLReyUHy+hTvQMRceC1fzbIkssM9Otnfo5oHw7nbri3EWBv+W mQ/J5IMUcPXLMU7cuhDKXCfIW4CLO8vYbatGcfVneGDUQgHOn7SbtRQcxV+x q+uIi4XQ1Vd3r+bYmxaJTUcEPiFeuZy7nXsUoXLp/+orfsbNnVvuybFZkAqX YKkfL4L3SWLlhkEWEtzs+iL8i9Ft4EJW4cwnwnCJ1L6yFEY2FWlnK1ioOnd3 hh33BT1SbZ6rk1kcfXNbW2laDuMTNL+YUBa8wlYLrnxQgdMrO/Llr7Kg8fGJ SJ3XV3yRXBVXc4CFA/mKhgm3KxGouOtvnDQLYqzi4WGfb3i38U914tgIDut7 2Vs8+Q5dPpaNe+UIYl8X3d1VWIVOp00yF5+O4OWDsKS2/mqw43jCD9uMYKzV bjxqaw0ajppVr98+Aj9Z3zPZ//3E4Ydq1l855xc98UL1WnMtigrV1ijkDyPB iFQzvr8eogbMAOnbw1AvCtJf3NyI8oLt65U3DuPuNnXdDLEmWOmON6uVDyHp wA4F2oZm9JxwJQ1dHEI7aeubpl0tMIjQ15aYHIRDSr+YwPlWLKctNDsHDWJ4 jnd9Z1Ab7tdqJmYJDKIlUJbd3dkO686XyhF+AyBMx2WOa3XCVfvMzJWB31ic iplkviXi7rcmA7Hjv6Es1FUiLkxGnp07z2NCP24R9CwP+3bBJyNFf2GiD38L 0vQmEymwkVhurrXqQ9QaF0uFGipK/BW9pSt78UHW6IpuPw07FGKd9Tf3ojzR POzaIh2DJVrMLL8eaARtObvSlQE+5fvHDSaZKBPZtc20nQGZzb0XbtgzMcHU c0rQ7kacAX00oa0b2sZLSqufdWO2xSPY+XA3JEQH+p8MdmOblNLOy7kMPPoW subYHiYeS7ht3yXPgPYbnQMV/kwMG/3uN2PTYOy5V6S5mIkTCafVBQqoCL8j UBg4wATXG70amgcFH3LGXIX4e7BRMungmUNdCD6vUzgj2QO6xX8C/evJEHgT UyrE4R1nP3utXSLCp1mlz5OnB9wz6so6E514XR17/VMvE/a+f3rD2R04rBga nfSRCfnD37OXxDsgnXRm8NodJopNTq0zPNSOgX/sNtzVZEJpxVJXdXgbQvvf dL/q6cbek7cORg+2QoRsfvgRJ0/QqCpr+9e2Ff+wLJ6eUumGxan35M7pFuSr G0Z0/WBgDyVblTehBVT/Ld1ytgzE9xZKzDu0YNcJK7NeNh2M44XFIYYtME6T il27kw530sTQSbRA4UkYF82ZBsGAF6eop1pQtXxPajaTipUng1IifFrwNb5Y OOMPBSLc0T+jS1pQO1M732NOQZr9xJ+Va1sxG5xqteNrF5Ijs1YXBbRiZUbF +kIdTl6iW65txtUG8fMWdLNKMup47xvoRbfhhKmBTeJFMmZffP4Wtrcd/b0N SQO8ZHhYU3atHGiHd6rCkX1fSeitvSuukdyBqudXVns/JCFylRfZ+FonIsUE hCxdSBhrsXI+rUXEzLF9i67mJGgN6mWt4SOBEpSsuvo8Ca1HtSM7Z0jgzr0n a29LQkdMfN+7z2QgyFZ8yJcEnn4FZZ//ukDqcs0gJZIQm+49k7+VglMlxadt O0jY+ZT/PK2eAmHPgTWpa8kgp0gwOu2p0Pq0Yn2FJRktN4LeEkeooB7a1FCS QcYm0SI3LzsaKg65Gh3Z0gVB+4m7Vr9p4NMI5BlM70LdlzcXEo3okI3/Y0CW puDnGYlv8j50rN7Rb2b6iAKT/Hc7U2PpqO/o39TDS4WNjdo5ehwdcss/B/YE UOFs5XL7UxQdrAfmo+Q5KiSkro1a3qRD9ebqcHs3GpIDnG2U9OnIUbMj23PG bbMWlHqxSENxgreq0x06CjaXWhU8oiG0STmpbgUD554aGwQI0eA08ksq+CAD sYPJlHEvKqb2Tdr5ezHwYmy9hhSRgsr5ua6oFAZOHF9vzr2TgjBBX1pZLed+ mci9KvbvwvEiQb4TvQwEfVBt12gk44T9LZuSCQaqM5utQ3aTYciRU/NZBgri 4GQWR0LyioIK/UkGxoukrP4Kk0APPfm4vI+B/HRmZlIYEXRuWopVMwMOwnyD u4SIOBvwura6kIEUomC/eVwnpnsM13dGM5DpruHiv78Tsi+dReYdGNDaw0za 1t0Bvc7rKVWaDPwaGrrh+aoDW3RGFyuX6AiaUvLf5dyBnT3xKcMP6bjIKhFP N+3AOm4fm4OydAyFBLgXGXXgti01pjGLBnnfV6tazTrgatHgYmZAg96/zMh5 7w7sW9zKY9BDxdmpIUZNdgc+y52LSn5ABeXgSLb3bAcCv1r6y+pRsaQj2vfb uBOesav+DC9SkPovf/3rzE4EBB1sGPlBwcfPN1I71hMx/zH4cVwCBa76+9QS HxBhE5oYuyWcgs63tn2Df4mQ/dRSYOFPAb6bPL/vToInv4njz0AKLnDTW64N kMBXI7Tqx2MKiIWlmWnnyVB5d/eHSwYFL1Q1xJ8Vk+EUKHgy/hcFPu2enRSJ Loh+MOFVXKagccHk8lPbLnhHenK91KRCr9ryhw6hC1Zp+eX33KgwDf95p7Gl CzbdH17zfaaCr1Sj/vZMFzp2ZvuqrKDhIaPBdysfBflHx9JmTGkwyj5724yX gkiprFynlzSsHpXTGpvqgtklpYUYJg0qq1VsDFu7cOtU60fCNjrKW0r6VyV3 4VKGty7VgY61GrGWyte60F23c+9QBh2P9wh8dpPizE/b9uGhbjoi1tRf8fpE hv1BpamnXAwol82axDqRsd78fZm7IAOS101WH+Lo8969vpnK4gwsm85kRNaQ cFt9WjWXw2KOTUYud0hYLeUXs0+YAb0/tkppu0gwirm+TYKHgbDQrO29Y0TE 4trmeyw6JHeNZzYVEFFgnzUYUUfnxBfnvXuCidib/vL2nUQ61tfLbpm3IOIA n59Wngcd20dVZr/qEBGy3BicYMh55yG7Rya2ENFrvIFQIcHp3575N1WGCMWO 318COfvhxOyV+cphmYXax4fe0+AfbOJRs5WI3azmfRKeNIwme+1/qE+EFc+c QbgRDbc0m0abLxNh6kPbPSVLw9q+fS7CkUR004/pXVyk4tGfujSvMiKCjuRd DGBQIdMhUSE3y/F/Y1a3pYEKydkzX0bVOesV2lO6+zsV0U42XlccSDgWYSGm 8pWKvS8EmjVfk+A18os/gGO//N+FGysaSbAaxo9mTn+HMJ2YgCUSRB3H2EkU Kv525ImGKpOR88zziPU4FfFnj8ZuOEGGhf1aMZNVNMhSfS55XudwY6Z6rwoN eyQLj6RHkPGb0PHa4SwNZ4Jl+P/GcXQ/WFyd148GjZpqW/MkMhSfSxSPp9Dg aCt5UeYt599B2HPa5RcNWnLqT/95TIZYdptI2zQN3385nW1xJ+M+/6XnFZJ0 SL8iV2ee4/hffNLGpUFHVmZzVjQn3wgOJ6hlG9ChRRVs9FtBBn/8cJzWWTq6 F7IG3dpJWD6eM3LxAh2zVVNKrmkkDBokv9a0oGNAySDktB8JNooXCKqn6CBn pvbUcuLK/wF4vHxy "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFl2k41tv3xlF0SkSGSEqmQyUyRBnuZEoIqYOiKIWTKIlKaSI6ylzmecgj GTKVkISUzB7PPJhlLJWx8n9+r/77zb7WdX2vtdf+rnV/1trbz/gcPcfDxcV1 ipuL63/7xVL367cX52HsW2zmFDmHQtXr9a0yC1A6neNVPfUTn/dFaPvdXMCM WpBnR8gP+Gga3rcjLqBx75zQgO53aDs6Ku3ZuQg+wVc9QvyzMDIfi+q4tQgN pXWyt2a+4ldH+V0WYxGHC9p4XU/OQNu2dUFNZwm82fqy63mnUH9UcVjj0RIe 8wQGyRHHURb0KdCSsoTtdpXvTjePoUu5/GXP1mWYDxWFV/SO4Nf7QB0Jp2WM sOqnNv0ewm4iW9Qlahk7aBOvD+sPIqGtUWGiehmLuyqvvo3th1xoVMkcdRk+ xQpms39YECMmGzTMLGPsaOvK6Aod2PZk4snCMjQShUakd1CxEE/S/fRjGXp9 Wd++3CKhQOtjpt/YMqhWZI2VW0TEfbx8MrtnGTT9oe2bE3vQxGCPqFUug+Qd 9a2qowsPNY6fWc+JxzFhr5a5bCecdNgOeq7LOMqlTjgo24bmmLQhtvIyxOcS J9t1PqEzx4mtOb6EvJg9dJGwDzCsCJx5nLUEw8miy/9uaEKtjKzuSbsl+D+f yktra4CixJ8h2d+LeLSrKn+mvh46maLHgzIWoa7GV6LeXouEEuM8MYNF/Dbw orXeqMaJVbaRSX0LoH445BB+twqT8f1/JP5dwMYQ37o5Ujm+HxxKH+Hkv+me vuhE4Eu0WwXerHowj0srW+LtzpfAt5p7lbbwPHJCxi38ZF7gtPwvU96kOQip SXPThwm444ydFdvn4CtE0TAUegbxkSuO7pE/cYXHXqZdIgdqiQ8p7fQfiDaU uruwIRP9LFrw0Z0/oPa1fXlWJhW0E+OSI9bfQRpdfLVRPAHrTDfX6l2fhZzc Z0976TiMKEXHnc3/BkV/7vmXC1EokH/YLsT8Cn25y275Xx/h2mWV3KrNX2H+ uyZoz0wYhuYIgXtqp1EpUT3DVRGCKo/js3VLk/gxn7t7/t493D0vMqtrPQFd qa1/jv51B5/LS48bVn9B8IicE0P1JsxUbTx36Y6hqfekgpDsdcimLCYlBo5g XrD8oJ6mP7ykCY4itCEIboj4Q+P2Az2dv6DHfhACZr0kCWdfaMjlObxP6Ide GIHHevgSmleV9d3iZuNkVrfFNNMHhX4Nwd7SDDSHRJ+99NYbvs7ZLY0ECnTZ AgraB73xd4qTDzutD0VOBHu+d96orZHtLvvaAxUtZ9M7opdwcU3xixtxXdA9 JW8oZnAZSyRrAWPuDqTv+qFOG/FFr7yeZ1JpK6qWz8idZfvh3Txd6t+6FnS/ uK017RqADSyN61TpZkg89nniGXwDunUXZ7d9eI/7u9pPfXMPQtODu4auL99B dK+L6dOku1C6GPVOv/QtbCZrDj+IDEZww+Z7+9xr8KB3b+wt9TDsNpnRTwl8 DX29R/31BY/A1bLw7MFQJZLtj4w7i0YjSY/f2SuyAsZFywqSozHoTVMQ22Jb DjW6Yt6573FYx0p6r6tUhr9MBMwPHYhHxYm9omEiLxHrs87hCTERcfIfVvcI l+JWZRXvqpoUtIk13ueRLUHGFcaM3u90vMj8zM4eLUKa9+JOYbdM/LW2Jicl 7QW4jafES8ez0LH0hCjqUYilZoFCzyc5cOeDs77Rc2zlPb/N2T0PiVONZFvV AjQ29wsPn80Hv+Nd0771BRh5QXWczc+H5P2yjPRxAjab5+7+MJ2PlQWp4Bct BNh+iss4p0WA94GYiJU8AhyuEd913CRA1V5ZIjebgMz7RoYr9wkIlJW3tsgg wOjx+k61cAK+FHtqzKYQIJVU7e0WQ4DKWnqnSTIBQ3JbGv48ISAp8X/r//dJ Z3rodDznnC7Dao1UAnZF7c00ekqAR82nU+0cv2I7hHdMc/w8L6ovXp1PAHfX ztOJkQQsF78X0i8moKv14gGTRwQU3nS+F1BJgPD2hh8yFwh4mUOd27NCwEcl myAcJmDmtpNu7aEC8J7mCcpQJuBeprW3VGwBugdXPTFaSwBqz5YfYRZAa59i 4/Bf+QjKqaV99XgBzwHpZ5KSz9DPn78+WaIERJq8vPy+PFwdOdEvlVaKja/5 txzzyEUXm+dBnlkZjBvPjnHn5eCEi89OHokKuAvFVkR8y8aAt/CZ9RurMENb 7nx6PhtmZx163ImvYPhNLtRpKAti22nJpFfVuCxZcCLm3yy8zW6dXV1XA7Ki 6+zUQib8XHYWxY7UQYdKHPs7MhNN1S3+gkn1SKO0vn6wPRORu3Pky5bfoXHw TIBkbQY+v85Jf+r/HgYqk18fuGaA+7O7exZ/E5Jnnz+6LpiBpKdXY9LfNKNN 4rywQWg64uwYlN2hLfjJ5fnIhjsdzJaryfXen2D9V517tWMaqIV19t/d2nBI 8I7yhc5UODV0Tfxt0QnjTplt2v4ce1vpxbDnXWB1p4gvqaRikG9WS3BrD044 05xG51Lgvvd3SnpmL0g2fra6nSkwuyIu36bZB5VG3ujzn1KwqvDHWuXQPqhK UjvVmlJAV6N8F6T2YapBOTOhPgUeF0pqb6iQkMxNepLC0cmj69/lPe6SYBp0 1lT3dQqW98196CaSwN9laGFUnoLr3l45AnfIUB+0Kc8tTYHcoUPzvLsoON4h VG/PsQ+9pDyPo1CQ7TY/cqQsBaeYezdGh1FBE/Sg3alKgU+d0qouHRrExcof DtamoPqaNJ/yOA2iBw8rPyZy4lV2F2NFM/Bo3eT+zoUU2Oi4rXLQYyHYs+at 1t+pEP3hcCTiChs3NpZ0WLmkQuHQDVuKWT/ydh4ML85ORdTvriKi5ADun2te s/g1FaP/2nU5jA1gYb+EVodZGgikcmuLl4OYW5AxDaxPQ8HDMO4juUOQbqux aDdNh39Q2GOxiGF841YiGVHT4ftLZcj0wggKLFt5NPQzUJWcKE3RHUXmARuf 87EZMPL8Zi+2Mgpzjw29ETMZmFM17oopH8NLUcvNIbaZsDn/ZKOa0xfI81Vs UnqdifH32iLr5r4gQLpDW9UlC1+Gyuz4m8bBe/0MKUMkG70n9r1QC5jAnXfV 7vol2VBotuVL/DmBh/UUMv/xHCRqSM6EnJ3EjS05q/h4cjGYNXMgoGESr2b/ wu6qXJz47kUdF5mCUPix/Ai/PDj5LurbOk6hcM3ZWzr7n6GuRz+fN24KJzb2 hhpx9Pj0v7/2mDdNobSfFNfGzIeysJr9gekpvNB+s2dpXQG2t6jJtUtOw01b 0fmH6XPMCVqF3d0/DZHJj4dVYgvRIWZip3x0GuHaxCS5ry/AR/CKNDszDZ5X QmpnThUjZyJWSsprGtJdPvHwKUGd7+NdhEvTuFlkHPlYpxS5PtJKzRy78dEX 4Uv8L9Gxni9F+uI0elqHagPXliHO36193m0aMyGGx+XEyjEuU+Cq4TiNy0J+ Ysu7K/Dx2A1fy8PTILglHUy1r8QBxvSJDJ1pZPFYxBMiq2BScG6dn/w0ttf0 FjWSXuGQRbHYosA0nkkwz8WrVUNcSLzC9ucU3OR27PAlvIGSpaxLIGUKP+eU imlatVCsmde8/GYKYzdNBZP76nCmoOC9dvIUhlMD9+uZ1uOzpuaZz9emcMk3 YkR6F6f/Ba1+onhsCkWiu5KOSzdgeFzj730qU6CFdqUab34P566fq7+vmoJ8 FfF+8OFGLDW6HqnrmkS26NN30uFNCIoS+rovZRJvpYr2RdCb4TJRmABOvkXb zqaZoQXcl29P5ipO4hNfikRh2Ucs/OiVMhyZQH7D5PV1+1thqnnBezBzAs2k 4srBus/g5b4dMOg0AX5zf3eHY+0IKVHW+CEygZfku/luSx2Q4TYZnGgeR+SD URlfcifsIs34Mq+Ow2TD8ofmN104aX9hdHzbOPJyZ/78zOuGkVuhUVbTF0hG qJO1NvUioanncbXmF+gJbVicfkoE4ckT15KEMdw7yvQYliOhJ+HK/I5vozCc U9sj9YaMCeOlb7P6owibqV5d5UDFwaNvBP4EjYD9LPbC9DwNZisL5Jvlw+C6 pj0zF8PA3ZK4o+PMISxT1pPzqUwEn6Uv/lAawvWaxGUffjZax1oi+7wGEXad JBCayUb3Zpa6z/MBpC9Xiqio9MMvTv0BdbgfU6/DxlnP+7H3WrjgFel+DKY1 X5WWGoBYns1stx0bGgrGlKBrA1gFlkmWGAs8C18Lye8GcKaQLvAjjIHpvNaA Uz8HsKSyag8fHx3XW6pElwQGcZl3wa6WSgVZrSPfa9MghHOyt3O9oeCnJjkt W3gQNh975rcSyPCRkxlm/BoAreOhmOUzDl+vOIkXUQbwIOD5f4+q+vC2ePzk Qv4Aotleds9pRHh8/i46eWEAv3Z+fKcqRsSzazvuL8oNQGiawrY/1ws3ZQPz xu5+ZNecWreprQc/LtxrEbnRj/UZbQ4SVj2wSWzOaJDqR6jjhR2Nw91YsIiP KHrNRpv96liz+G7wpGnWEI6zka0l6p/i2o2fx/0z6AMsXF06LhBt3I16v2RX ZWkWxnwcutvQDR9Slb6kMxN+3yoEKEe7IWpl8fZYLANTK7eCo+9143X+SIpZ Hx0Zq9U8ndq6cVPZ6IOREh3T+bLn/uzpgbzw3WTJcBq+eSTdmCvqwRqykdF2 LhrSy99K+h7sRWVDmbApp0/UZPwzZjjeixBiatlGeSoCFU6Fd2UTYX7zH+fa HgqubXR8Je/VB41R3nMa8RQcGEnxoYGEj+vEvsl5c+ZhN53HBlJkTKoaha91 oGB+3px5bIkMpXb/EPVjFIx3sBtWyJzvAvJUW1wp0ApdMZMuo2Kv8/svvbcp 2LHnbGthMA1PnCflzF9QoJ5n2TVrTsfHbi+3lTEKbFQVehI4779NLid93u6h ovKksFdzFgNHfPKKDzygYvhuoKH6HiZM7m3m3TVMxVXaGrkdBCaSjX6/G79C QzGJ4r1akYVinoWzBUM0FOhdTdU/x8LJ6unVgyfokOCJ/TrwiIXsZbcqcSId r2PGKu+kskC8pOD61paBrQmH//sdz4KmV7unTQcD7ldbxP+7xYLPhOm8jiUT cb01aTHWLOwYEO8daWbizPYQ7pcbWHhzMjiOYMdCRw//30NFTKwbeiR9m8xC xJGVe877mbhMzyoKUGZDLL/vxKkKBkw8SsOPu7Bhr7avUVeOAYUm7/XtkWwc vTbnbxdKx80DBtuWK9mo8Xr6gWuYBoNScWV5Ihsv9O24Y0DD9D+NTU1f2LhI icvWT6JCmhiknvCDDf/gepdNCxTIawjVxf5ko1lBYS2vEwXmYeTS2Uk2Jg3K Ppa1kCHNzLdTo7HBOO1oGnGADDfXAubqd2x42uRLljeRoBTVMuCZxIZjaejD UUsSuO6MiJMusGFlcZP46Esfoo12ftiqzYate7HmjtQ+fH1dE+H6i4V8fqPr Lz368PHf5lNrHrBwzL606YFlHxrCND+tCHL+22p25/VDfVinJxxFS2JiY7nd ZM/JPhBNhEM7djEhUbjmon1IH1wGIzZkfmDAlDXaYPK+D0JW532SLjKw3SBt 03kREgL4RjY/kGHA+bhVheAVEmSOPEss7qcj3okYrM4iYX9VQ8ZYKR2L3h6E K8fI2FIXLBwdTYeKlW+SbgcZpk12NRl36GicPAuyBQVW/TGrXgbRYbF+dW5K MwVdGuterQ+nY/hnnMwqPSoi7PzfleTQUVO7waw9n8NVJWt7l090DLYnyiiu o2FH2cVKwhKd8+5v9yl2piFL/vXprxoMHFwbnJucScMLrzAefz9O/CSJlZJe Gtosa/3GOfcr25Iem75Ew2mFbvPWbUz8UXbpGVpDh2oFrdXSk4nD1mnS01x0 FO1U+91dykTeCNWykzPPjaZIj2fOM3HW85wgq5mGmsgvnWL7WKA4WIZXPKUB tz91FPpx6lFv4JiiEw0U+xZ/IQILppHC8zslabAlhQ9uJXLyg7XK1A4qjhTa 9HL9ZiFZ/2FanB8VcQ8/hydx+F8aUhQyKk5FSECJR64wG+7O34OkqylonWmv KhZio76xQNOCo/N8nSSawFo27suYO+7fwNF5u2A8YY4FMymXGftmMrQbW1Wz O1lQsHwqnRdGRkeytj4zj4UZ366ugZNk9L6wHC8KYGH9G+7nlvvJ2Jsmpv3J mAUbkU97neTJ+BP1mH+Ko7PPO/ljtDaTIZJrIPKZ06/cXJPXFHB4ZN8cY8z7 jImtdQWeukpkSEiIx4j4M8FfsLR5O8g4cu5pUKgZE7JHz2d1upCB1Omg8q1M pF9PfbUlnIz5AdpS3C+O/k06zjnWkBF3+9kUo58B8V3VfCWzZCQXbG75084A kUHwVOXM4/9RZq/KNTLAL+ogwDjP4WZO1maddwxoO59pa87gcPBE4QaDJgZu Jx9Vu8fh6ib9N9uNOTzZJ6Ko0sBDxfKWbU3NTAby7NIOuqpQ4Wmw9ZridwZI L7Td3Y9ScaJ2MrmQn4nh9NdhGy5Tse9j+9Wov5kosybwtnI43sa/2+qXCRP/ TWxTNEqkwipbcv9bLyaC6Dn8ltlUyNUfSzkXx4Sd0wbe7iwq7lvJuFx6w7mv gmbcvwlUKAck9PixmZi2PRywOoTj79Wnt0o8LOR8CdUke1LB+tQVcHEbC/Gq NvL2hzic/RDt6ajNws+L6r2SslSUB/f/ErJgobFPNtP7OwVlp1VI0f+w8PCG YrT1ewrSK/TuVzmyQBUmMkXjKCj8V/v7x2MslBtsVR5zp+Ab6fDtq4dYaCVt zis6QEGV66ZTtVosnBvdlzK/jQJlK8p/Xzj9kVKqHDTDRwHjwPuoy5z4+GUC P9vPkZGnluYQ/4WJ6BFrbuUZMnhkvSS0OpkYMMi+uXuaDNGtXPu1qpi4ryAj r/ydU3+e1jOX05kwJPIrEX6TIXvMxLjoIRO1sfEBIgIUrH4pnRjFqZf4lE03 82UoGC4wSUg7z8SHtcdHw7UpqLx39AHZkQnufRmfGmwpuH/zbYaSLROkbfs7 vS5S8E/3RAXTiomQPfaHWUEU6LT6OBA5/cL6vsezqFAKtpf0kdU59qH3ErN7 oij4Pxp+AC8= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3c8lf3/x8kOiZCkhIYGpUW680JaNNDdUFJpKCNpaJF1jCIpI1IoSt2V vYWGUCjzONd1zrnOQXZRhCT1+3x//vF4Pj7nuj7v8XqPS8vR3fbYJBEREQNR EZH//XeZ/fvr3nO1UPuaa2h/cwQd4j+eHoutBXNveeOvfSPwuW3QCIOPGIw7 d6AvbBjPjlQWJL7/iMLtUakr2T8gFOfmxR3+hE8WY7sVVvwAvUfMZKp8HXlk 6GeM/xCyY0J0552swyWh3av9nYPIto41nfGuDhp7uzZM7BuEXmD0kMaqetRe GSsVL/8O8cgzViqP6iFxcjDF1uQ7dGpshpVUGvAtUNSlp+IbHLbeqn6S0IBf JkvXulh8g7te1w4P3Uaczlj0ajRpAOF/wzS8sxrxTMVnY0ddPy5MH//b4tCE V83vimq6v0L8ueeXYtlmSPBDJDvVvkIiwvq+XmEzFg3+/OJg/wVdV2RbdJ3Y mDJKBXmm9yF86t961bUtuEvfuWLR34tB9orxKAUOHgU59Seu7YXA/Qm2zKag pBvf7XWiB1/1+zO+LqHhpRFeUvGwGzGDdpLFxlzUdVqI13R24UrgGKtsIw9f 7rZfrzboguPzGJ5gBx8fmzZ/zfXrhGef9ibOvwx0uu63TWruQObMfzg3PATI Q//HZtUOdH9YoXjLXIitrRIyJ/d9RmrST9m7FUJILY7oUkxsx8eBtcPx61tx 7njsce/PbXi812HctKAVeet7ZiUvakN0u6nzIp02xL4aP1ns0Yq0Uv2jY/5t mFxu6WxYJMSrU5us7NhtGNz4lVMoLkRYRO2uuSrt4JmfPVX5gcHkxYONWza3 I+tzDKv7Fh/b68vqZrm34/CO1WZWh3iIsyqZon6tHVMauk54GXJhLbQ07Yhu x+f2CDXVGTQ2Sr3YYEdYUj1FJUeSAmtHcn9wcDuenbEd7xLlwPGH+9sS13Y0 p9j06cm1gHs+5Kr/hnYcY5fYtM1nY9EIpy9GqR0Jpq7ha3Y2wzzYIra3og0j u/+rTHJtQqZoq3KyWxvUQsq+pzxshG/SIbOpMm2oMXdy3DzSALF+/8mZ8a24 UzdqtPBEA/Zyd45O121F++UdM2/8rIdrRLN+fYYQao+ypE+n1kNWWdhvZSRE 6/uJ6Mhz9VBb4Hvmlp8AtfnOumEH63GqSeVCXCyDCDl52w9O9VA3Gbm/spAP vvgs3cSwepRuZXXv7+RBabuGztpacu7I4Xhr83C5ovN9qm4DXPO1h1juXJiJ Vv56eb8BDy8uf9v6kUb0Q2XjaYsbkXKVNjO0JnHreD2rvrgRRZtWzrdtpbCg Tcp3xL4JETkKNz38KQjW9Vs3yDUjtUQi7tEKCtywBdKn3zdj8YnR580/ONhb N+PFnQg22KWDJhXvOEiKFZ3acLAFlT1Og7Mec/A8Yomvx0oOqrVz5jpHc3A8 Z0NrgiwF9T3RjHYkB1fkxa87t1HwGvi2Ni2BgzLvvGFBLg2xyyvLzuRwsHv4 fWoK8YNXV7bvdBMHdgvvzLAkfr7M0lio/ocDT4tLUX3VPDhpPezjLaOQdulo ZoMzHwsjaqs0XSl0zBpx8JngI91+K22RTuGxu7jPC38G74ODLCXlaYguTrhu qiyAtNF8s+pAGo+SL7omJwhwspb7ukOGC+Pig17tYkJEDi0bMrnDxbvPpZIZ C4Tw/+Gqkb6Yh3fqO4PGjYV4blS//085D7cFVwSHTYQY/cQT7zzER8Wu1Lzy 5UKcyLKSm0bsqFLIV1o7QwgHJZPGhXcYfBAeqJPsFIC+0ZRavUQA/RrRhG/+ ArjNnOxa8l4AX+Nb//T8YTAa8N7pmR6pR6Ojd2qPM9Dac7R9l7sQtoqc0Kel fHxpG9MLekLucY6kIibzcTbDTWUKRwjZutTwyO1EF04rtgz/FiJX82VwVjgX V+Iv9rJUW1Hub6bZSHQxM32p1Zu5rXhi3L+GK0Wjtah4ZsE8Ut+5i05jC4W8 q7f1Cme0Qv7o65SGGA46w2w0WaKtyGlu+TMx1AJLC6mWtYwQ42FhsllHWpAz 3N1nlynE/AU9xfu72XiheHP6PS8hLod9LuMHsDHHVGjXbybEkFePVLghG+qN WVU7SZzrM47HrxZnY7fiJpGkQAHqk5bcVOttxnW2SsEjcQGuHl/YM9DdjJkH Fa13BDPIGwrzGf3bjE/aP1/XTWXw0YEV8kWPjS2DLN/OdD40fxnstznBxsdl xz6o7uXjLUe9vyaTDSp+mvVTEidG0e1mnHQLQtMfzI2t4mFntMLWLOcWmG+b HHf7Ng9lAQWxdHMLyr6d9RI9yYNMFTKfbOJg7tUIc7mtPHD3Hy67XcJBlN/u 1IS1PMx6Fe7zZyWFaxmLfE8Z8qDu/rnC9hmFi9xxb1Hw4Pz506DMbBqfdSNm zrLhIfFU2l6DEBrdhmpKSm487O+I5z3spZG7lR0uRe7XVJf5EbeeiwaW1THZ Mh5KVsquvHuL6NKwcEBliIcbdnGrPRu56HepK5fX40PJ55H2TmketisvHKvy 56Py/snaf4x5WDYyUmjB8OHK3XNfcScPqn+UpmnNYSA2MNW1ehcPAVnrLm10 ZJA5N3xzP/GL/Xi1wvNkBvURLL+Za3gYaVez29HOQCaxIUJjJjm/mFZsOEeA 45WVrbwhLnpOnje/bCfAutJN+46Uc/ElfqnxyssCPLphHtCdzEVlgXuLcpwA 4gv01eX9uHh0yKfwe64A297q26jac7H8y6eJ5DoB/olXeGi5iovuJy0e0j0C 7D5k6/hdjgu63b3Wu1+Ax7OlPLXEuJg3wvf9NCTAHf91YqZjNM47f1gy8ZPU z/73k7YP0GBP4ZyX/CNAxQUb160dNJZqvT4YSLhn2U8Pq8803lRd7xP7K0A5 42lr2U4jXllzhj/hLCX5KVvaaOgvsFN7TdhQ5LFjVSsNkf//E0J4WTltE+Fb Kzt2ahJe4xgrUymkoaE06Z4JYS1K1X4jYZ7EE2VvwqWWagMWAhrS8loOxYQ5 p8wd1jM07p1xvDhG+G9c01MzPo3iT/o29kT/xRMyegsbacS8vhD6XEKIbJ1X lNh7GkczU0V6pYSo03v6qKGUhqd2a6jyZCFcnokEx+TQWO60l3dZSYjwLvUl IURPvzQ8bniTPqMQ5nFmij2N+6MftVU1hVgelqxwZimNJhfnTFMdIUSCcub9 mkTDpujN4Pg8IcTN87v72BSeaw3ePUH6XKPVpznxdyiYmppZ1ZNzNnOuLXAf hayw60bWWkKk9w7LOc2hoBkY8nKyOuGOoPGeHg5yut39l00VQsnNt/1JPgcL DmVd+EX8M66Ji1x8nQNTbZ3LrFYBXEJrzu3bzUFu/K0QVaKHxA/WWw4v4cDP nxlSYAkgz/JOb5Lj4F2/3vKOHQL8yPv6XuZnC5orJVdNURdA8I45pdrfgljP KJVxos9KSYMDDYRn+9UJZdIZDG+IPkuNtcA7cmnrinOk3050cP4ocaA4u13P 3YTBRdmiwSlGHPzQrxH7R4Hw7KunDjhxoKLuIPu+i4+S5jqVETKX7lb/Xfyt ig8tqwCVNB7hfI3nq7P5iNvUn2BI9rSIBS+l6x7zcci/ZYPhYQrOOTy768l8 bBx8uCM0noKYTNSWJal8XA07LpXZSGF30at+60w+dlB5j82lafitSPL1eM1H c4aliqgRjQ/P1cZ72HysMWzt5R6mMbZB5fvENzI/ciyvjrLIHK/z8edPYYgu dT5nJJF5eSa0mreOgfJGl3+vFdF44nOX0jnNYGnN4ytXymn0/H4XNZPU81mp FKFoGdGfiaOkeRMD329XOu2e0eDKPfTcKCrAbbcv5kdCadyutsnT0RXgRXqf y2Vy/9SHb7cYbhIgLPFcofUyGhJvZ4n/e0AAkf9Oe5b/oiCbWpz08aQAIXqT 7ha9pbDJ2nJRgKsAO2Ny/MdvUHjlKnOp4ZgAtxaNl06zp3DhiFHpnd0CNG/b nb2GzO0mbYUGVVMBrA9W5RrJUSjxGrk3m8zDwObGIzWjZE+4u+xzk4oAjW4T Cte6ORjL3MsdmGAQ41q6MpHhQOLqjW+6HQxuZ22zU6c58HpnPt+whkHnnTGR NsJiq8W632czqGkzP18s5ODSoR0nWPfIPnxW2XprHwcFLltzxoIYLFv+5s2s XxxM/ege+PQsg5yog35JxJ6kmf3MBOmPJ6IbTQ20KbTMXu7BtWGwRtFA5qoZ haPDTWrzNjLY9PvXmM4RCq0Jj6ZOMWUQa/ogzz+Qwq3zLw+HgMHyC/EciVQK 5k3Tu7dYMLA27DU3rKDAdlm3pXEbgwOzL5h/InvYcHSP28X9DE7/3Hfv9U8K Of0cVWdXBnMdvgxvnEyTuVCq/8qHwZlwPdM2FRp3bb/7sKIY1Eq3aTnOpHGT fnbyRQqDl8b5BkGESzqrZNNyGDCpofds1WiIny55plnOYFpw5BpRJRoH6Cjh wwYGAeq+IgzR46p1o8WtAgZp/0kvspigUPbU9umtPgZ+7wpU4wcofNY+PnFu mEFR/ArFnUIKR1L9bEzJnhJW7qeWUkvB+MkVK1syr5uLCgTzi8j5fNF5MVIC VGXaGIQ8phBTlSw3VVqAoaRYllskhd79vbI8CQGqh3dOP+1HYaHbPY0lRI9s uSNP1TwoLBNTZm34xUBY//Ub15HUT+iNKO/vDJzrCtjT91DYUX1ofFUXg3XF NoGK2ykcbMsMmkwzKDW109y8ieyXL0L2TCd6YO9LvXDWgoJUTmeveCkD/00F q65uIP3sklL02QwGs90Wmyy0pOBR6/TqB6mX3DkznKbaUjhVutheIo5B1zwf /wyi35IM+1iZCAYPqrnXTp2kELj+0hTLawyMlRP9Ei9QiF5/ZPsgi0FznFFF RBD5Htl5vHJqAIP9KfN2RURTsCr/XiBDzk3MFm9TI3pgTb+itDuEQajZyNuE PArH/s1743mTMGv7WZB6etWckFBBvgeqPUK1d9dQqM1+sSWY2LdkRN4+sJ5C buFoY38ag7cKe7vyGyj81k8wXlXE4OvqGp1ZdURfqtnSD0i+9/VtXaD1gYLD 76yjt2sZpJcr2Rx+TcFI160nlPSDMrrn9v/ub0081WxEkfkf2rgv7T8KI5Iy RzW4ZF+4xDViPaBwo3ROfCLhvceKdrFiKXDyKh98JPEOGA3sEIkg+tYVS3/N YSDXE3B1fQiFbBPpm/HNDIJddrVdJ/nNyq1sCq4ne3j9B8h4UWSf3VdVQPJT OxIg0k7ix/ZN1j9WyWBB+YCm/nkKA8nLRCpeE70NBygMnqWQ2R+/UPklqc9v K+fonqPgWH3eOSiPAW9x5cmX5PeZJnuddmSS+Ok80Lp5kcJ+l6d/4p8z6E3Z ZeNJ7lvEcqVmPWEQnXIsuZPYw7t22DKR1MvpbgOjecTezayb3msfMvj7QTKC F05hRfpm0b9JDMwGoubnkfyl8vzkuwlzh7zCHO5RUMwdde16QPTfpDX/2kMK IQUBi/TI+xIV/4sLeULsCcpedzGVQf6LvG3bXlCIurtmXsgzBiGZ4Q3JGRSC V78UUyH6i33zj55HFgXtVbGLm0i9/mx4K8wifKTC/bpXIYNtd05f886kYBnf W/ahhIHPZK0Vv9Io3AkeSmGR+CgOnnruSPbNEmmpmV4k3zYlG2ZPkHpzatz1 92AFiY/MgPEzYp97FLsgkMT3/NG8y0sSKAya3dTtJRwZWR2RH0ehkR+1JJKw nH/BSx/ir/zqLe3h5PkCh7/Psm6R74E93MhB8v7fX7PzPUl8lPu+D6S8If1U Plm5MJQCXbmmp6+MwYR4fnr7NQr2MeuODpF8uVC1EpMIS8xVVukm/jzSKacU CZfqXZIcJvm77JauKX6dggydcciM+B/g5RVcSt5XGHmr9CrJ55svO/0zyH1p j71cLpD5zhxg6W2+TeHXvDXPNhL9u472PDWIoeCbdmbixwsGJbbaN9TuUig4 sbrpIjkvj5FLSLtPYe6bivsF5PkOXU5AZhLRX/a6gRvk/Sneqw0HSHxcF9m7 /G9eKA/5lmxOodCWeUHVkNiXnOdtkU1YTGXjwdR8El95rxEWYcWMSdczC0h/ HzhUbEC48oFhfSbxz1vjQ0Z+MoX/A4Xu6Xo= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.48, 0.3999999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.5, 0.41999999999999993`}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.42499999999999993`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVle3r5EYo0Rj74oSe8QSNViiLFtsQVRUrIkGFUussUeN2GtsIFE0 BrF3VGxYXisqKiKC9CJNeseC7XrHeJ+5z9iOMzgev+/e3HPzF+MZc83N+u29 9lpzrbnna+EwxW6MqYmJydDPTEz+91+neW+ami8LN/x0bYnhh/aequulyUGe Ax8Klza99Gy5jY/wYPNfyx0/vU8Y/6HdI8Mvd7oq/jD+MP4w/kWPPA+2G3NX /GH8Yfxh/AeVMJvwS9eH4g/jD+MP4295ofK4b+1DxB/GH8Yf9kkoEjk81ksV mVLPsei4SDV8krtFCX9f4ZTcESnT/ggSrn88s0u0T6Qw/qkbqp5IbP9Y/GH8 YdoPnFD76zs34qQ9THuY9oYuDTyP2SZKe5j2MO0b1WzazCU4SdrD2J2ftjo6 Z2Sq8Ov73zb5ITldxW63Wjx2UrAhatbOUs1GbVE2ht798ub5CXO/4T2rhrdv 2e6CMP6um82f1IoOE38Yfxh/mOcDtzqyal/xLzapiT0sE5KyooXdX2/PHrwo Vq0MaPBHw2OhYoex094seNfUDmYJwjM8D2ZaOD8Rjlp1fHKxGinKpuKWDucX PnjP3mPU2fSU3WmqtmeZW9vcr0p77i9M+xPtDRPvN8mU8cj9YTzC6IVpj37a 6+8H4w9mfKEfxs54ghkvMOMDZnygF8bOeCnfL75Y9JgDysbUo/6mOhEq+Mqa 9E/Oh6sNYYM2HXGLUZfWhcywO+uj2nScvk5dSlHz109YMGTE74YqFmmLGw3c K/y44bZ9R9xCVcH34/wMT/zU0oeZtvfmJsv1By9/beO6JkP0oR9/7k/buGsd e+8Kfq8/p8P375l1OEqY8cL45/l+smujlW/Zi8qj6q+l6nZPF73668HMBzD+ GYef3jtumiZ2/j/3k/8Po4fxhx3Gzv+Hv17rFtJ5bqjB8ujBgZZTpyrnIwGN 1/4UJJzvZ7YwqOcD4aMxy3Z3GO0rLPOnkafVedrLv9VV4XF378beMPMS5n01 a/TX+cwR3jJ+YZ6H1ayNF+vbnhKODj987uw0g/g3K0gJXdX/pvjDtL9eO37o Ht/rwm4PswdPjrgt/mnNPkn9/by/+MO0n7z8rX3rDD9hj+3LvzIxCRD/q7Fl ku3vBYk/TPuSs34/EL8yUHh2H5eGt8sGy/PleTNe9eOjW/fwB7WiH8vzY/5h voYZr561Y/sWHRcv12c88v9Zr2HWX5j1FGZ9hPXrHf3l/YSZz+BtRV85u655 KEz/Ybm+cXygl/kF/2oFSfeTshLFzvzM9WDuR8HJH8tuqhMn7wfzMf2Duf9+ jhNLD/smSa7H+8P1eP+YP2CuR3vuB3b6D3M95jcYf+ZvnxWGtIU2CdbM3zDj Deb9mzv4izmVWoarvPmXTU5Mj3gvfsg7/V3OurGJKn6LacsnR2++t37fXNTU ZkqlDJWS/Fum9bUIdWjKfA+ntBjlGLqoSeizW6poiWXNhldOVfOvLL82p2Ow demlIScyJqwWDhuYOnL6rZ3CgeEb/Ra5nBHuOOvw/h8aXxR26T86LiD9hrCv +zT/juduCe+IMEw5UdxfuN2Sbo7jJz8QnrH+3qR51YKEy1gNGN3C6ZFwj87h P3e1DFNf+FxwapcfbEjsYV9Mvbs/u8sOtXVbc1/YvulMq4VDLglzf+FbPxS9 k7/hioK5vnl+0vhS1tHCkfdaN4/tF6Nqp5VVSc/8pf3wAzu3DGwQ+p7/i/4v W6Y2iBXuvs/6mE9YrIoplz1buUfKeMA+qonpyfue8cLHnb5remhUgiqmRnao +u697B1VZYPDX5r9XrESLbzaPhGuPtTmyPo0jVvHlD6+5Wqy8LKW/S1nzHwX j7xcaNbF+aG8H5aua6wP/nZf7Qtz6Nl4o9Z+57lKzRd8nyacWXLoocFv0uR9 8DLpHHngcIra9GTNwcod7kl8Mzj5aakaNa6q0C4D8hw3pCmTPQFjd62/qGyD v44e0yFdrve5c81jPwVmCA9JHPlVhxWZym7T1uutfvKQ+KiVy7yic2smXCL+ ob3Md0aW+c7IMt8ZWeY7I+v3Azw/3keY90f/fPX7Aey8jzDru96f9xcm/io6 rV2om1OoxGPMR1EFMzvO9oiT9syfMPHZ1RC3PfNaPJB4jfn09E97jvofS5L2 +vjN5cGm5SkztOdN/PZUpa1vs8ZN+l+pU3JsmWsnhO0HucxJ2xiploYceh5a PEY9P/pZ7uGHASq5q2Onsa+08TgoLW139OODwr+WHhZXqUSosvrlbPs/70ep rFE2jUpdfxcvPV55dMX0KPV0RODvuQGRavXET5z8TwSpvabNJzYalKiq/FnD pYi3v/rTzfeNX4VkNevQSreuT06pjV+UMdvw+l1/naaVjdkSpe3HFt7uZVH2 iHLdMC8s+1iGap66eMoPpTzfixeZX58F9jCvOmeXQf+8vKrHpjQ8FSFMPMn6 JvenZmJS11qP5P54lJiZkbovUrnvbrznYmS0Wr5ha506FhdVyO7NbQb00OJH /f9j/fR6eWTzS6swsResGP9dSaWNJ7dtdsc7m0bLeus/P+/N6zOnJf4mXqhd YszN5J7pMh7rvm69N8U5WnnP9LI/+WWUrF/sz7gf7M9g4iOY8SPtjeMNthx8 ysO7fLis36dHV/Xv5xWmGmWVPdwmQNt/tfGvmXJ8a6b8f9Y/25IXUsbHhRqa 31zTwzDQ3bpCybk+1UtrPKvJ8apjngUKezbJ63DyTpAw/ed65fpYbnx18oHY Q2yTJx6N9hf+JaazU+b628IpMbdurWlzR5j1GOZ+cP3DddpOMS9xTexWdU7W XzzyinDGnW5ujRxOCMfetWvscPKUMPOdxMvG8bClzMbDdz47qb3/7vYJJSIu y/wo8bHRnp8+KmD2vmvC44v98njbW19pL/Gw0f5X/4V+Je7cEzY77ZPhujFA 2kv8a7TvHt47ofczbT6NGheYNuJdnDPAbk7z71+HyftQZXPSo8h7AcJnjx0v iGl/QzgvvkvnJ9W8hc+NPVSsZ/4h4VmrqwXvL3JGxjv90a+ftlfHPY6uFiX8 3ZPZeXPiYpSX4bD5seg77/kzHmm/sd35KQNctfn42OXfpv8wMU7tCD0cdPNB uGr7akil8iGP38Wd/f5a7hOukpKa9PeMfSzXI17H/2X5qxltamnrdVW3ZTmd 8hPUbzf77LbzDpb4fuUfFVx3jgxVZhW6LKoRFaeur8/f4pwSpJrVXzAiu1Wi Wn33m4EWJYNVwvJhA/YuSJD/x/rN9cek35pUc7+2HiyZvnZa/d+StPXTuD5j v+9zP63I19p6n27jnGX2Waq0l/2F0d7W/dHPiee0+HBQfbcpmevT1eKCKiaR Z6/IfgR/1m/a75obmeLbOUOl2U1InVd3u7ry+Tgf3xGZ6vR0zyUuCY/keU99 kvdwSaS2HudN7DTAduI9YccBvnmWw28KzzGteaOT5zV5vkWru9Qddfm28Bxr 8/brPgsQvuQbmrqjtLY+V1u/eqX7Ze18zL3nvZiadpvlfTyzpl3b2dWchIvX un2xfq9Atb6fa3Bq4yeq5MCJid+43FCnzS7Unh2Uqn7pujb/7Xd31QDbsZvS B6aoSjftHRutC1Xn7E0GO5+PU3anXCol9nmg6tx70vr6rSTZX3/3MLl5Sr+z BuIRmHgEJn6F8b9V625slcYbxB/GH8Yf/vqMwbb+y1hZL+9vXvEyotwT4Ukz +ux3/ipV+PP+lQf26pwpHLQl08nkSLZw3ZX9g8PP5gpPn32myZnr+cJXHasv 3eT/TLis/cKwSREvhEd+F9e8Z9JL4WOtuq+om/da+G2dQ5Fv375977yVeAo9 MHpg9MDogdEDowdGD4weGD0wemD0wOiB0UP8hx4YPTB6YPTA6IHRA6MHRg+M Hhg9MHpg9MDo4f1CD4weGD0wemD0wOiB0QOjB0YPjB4YPTB69OfpxNfog9EH ow9GH4w+GH0w+mD0Sbxv1AejD0YfjD4Yffp8APsD9MLohdELoxdGL4xeGL0w emH0wuiF0QujF0YvjF4YvcTL6IXRC6MXRi+MXhi9MHph9MLohdELoxdGL4xe GL0w+1mvARaParfN0vbzRkY/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPo h9E//sruis4LskU/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPo9+8 acOBn17NEf0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+M/oduh1xm F8sT/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4z+lZ81C0zulS/6 YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP3WM06UH77+qeiH0Q+j H0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPrh2JvDnvfKjJHzZ/Tp8+OyPzUy +03uD8x5D/tLzoP0+XD2g9x/Od81nv988Xlc/pDwLOHrsx2/uVsrR3hOfPIM 69G5wk37TfLy3J8nHHcxK/fL9HxhvV72C+jRn68S36GHeIj+s35yfdYTmPkV Zr6Bef9gxuNqw++72uQ/fi+fRr6K/HapXKe1xf0z1Uz3/m7eAdHv5ZvIn3He x/mm0946e4p8liDPF+Z+mC9L7XfWPFnsMPYLo06+mWyVLnYYe5OdF4PK7csS Oyz59w0WlhkncrR8h5Gx3124bPHtS3lih7FXm5Icstv3qdhh7BN+7N3M6dFz scPYz/Y+vmxYbIHYYezFO1SMsMp4JXYY+yDLuS3KFbwRO4yd8cV5Eu8TTL6X fCXnha3Dt4/3HH5Y9uMw58lTa0e0sOh4UnjdzEWTzNt6GDgfpT3Mfp7zTuww dv4/HHI0+0X5IvEy/mb9fm6vb5Uk4QoTF/Vf1DxNeMieuiY16mYJ73dZaf+s WY7w8yVphwO+zRPuNr3vJ0e7PxV2dfAasqr/c+H4flU8R48oEG7VaX6xjj+/ El7SPGZ49dlvhBs3LFe8xIK3woz/0b+P2TDrcIKcx+vPN2jfcMfAvpklE4WZ v2Gf+TVf76mbIsx8Do8elnBgePsMYeZ3uMif9odKfJUtzHwP913rXSThm1xh 5n/YfZ754Mud8oVZD+CMCYuPbuv9TJj1AbYemlh09pAXwqwX8NqevYbZjXkp zPoBR7Q5erzJtNfCrCf6+818yXzD/Mj8yfzP+gqTP+f7F9qzHyNfz/dAzHf6 7ynw5/nxfvJ8mR95fvI9j/H5Yuf5Yef5Yuf5Yef5Yuf5Yef5Yuf5Yef5Yuf5 Yef5Yuf5Yef5Yuf5Yef5Yuf5Yef5Yic+wM77Jfkg4/zG+RTPg+9XOO/Vn1/+ V79vYL7cmL6wVXmX6P/29w1v5to5L/mA7xsCvMMtfF54GuC7HRevD7yx19D7 ZJW5Px2KkfPh1I0x9apcixdeNXV/gF9YknCDPlMXLstJE46tVKOS+bIs4RbF nCa+2JAjvDg/7mrg9jxh//juVT33PxWuHXhoyhqv58KTr5X2cbxcoJ1fn5he o/PdV8IlPYJ/qRnyRpjnSf7tx+hhuU7/4XsD/fcEhX0P8LH5fn0+n/vd3qpc 5V1Hs4Rjo08GlimeLZzlsdm+Yq7GrjatKyyxyRHeW7qq64rWuVq+9Jx3//wN Gg+dvz3oxbw8YZP61s5jgzQuk1yr4sTL+cKnN10JCK36VJj4EdavJ9zvGb0j 1lpsjXovHuD+Mz/RnvkIZv6BmW9g5heY+QRm/oCZL2DmB5j5QPIlhXxvUNj3 BPrvB5gP9PEx+V3JRxrjZfnexhgvw8TLMPHy7Igds1u1fCz9/9Nj/v32Z7Tn Udj3CPr8kz7f87HfHxBf8/yJp2HiZ5h4GSY+homHYeJfmHgXJr6FiWdh4tf/ cn7e+DwlPjU+jy+WR3SZv/yU8I4BRf7wH7zN8P97/v7GHVO/0ipOxuOog76/ +thr73+RVZsaLJisvf9/jR0a2HK59v7XrrOxY76f9v5PLpfv6h+mvf+XigxJ P5Sovf8lsy90WZGjvf/DY2q7ObzR3v+D95dmdTDT1ouCS0ndqlbS1guP09Vy itV4K+y1tYT551EaF5b//th89vKfupQY+h/yx+99H2Mcf5wPMN6WN8rxCh6j sWvaQ6uIvtnSnvMDWW9cZ+b1PKjNNzZDBs2y3Zwj7TlfkPXH9EXLCxmav4lP 2KnLobnSnvMHWY+mzJ/etKXGp1v8mN/CPF/acz6BfXjE2xPuszWe8NfjVnsc nsr+hfFU8bxj3dReCfI8vl3UdX6uX6Lwya1NH+x0SBYOHVGy0cHEFOF+c54u GPxruvBs68CgkW8ytPx44xGbP7utxSurv7C98vkabfz5VLuWGhuoxS9hr49X fuKqjcdKZg06X4rR4pmG6RUnX/XQxufoF6u3bE3T4ps5EXOv/3lUG69eSRkZ M55r8Y7Pnchqc7218WsaYvdd36La+lXpfKdpA3w0trt5elvjMtp6NvrgnpvN AjTW5/cL+z5K/71WYfl+/fdl+vy//vs2l05xUxZ8Ga2Gpn7S+ufT4YV+H8D4 iFnY99n4klo+hnibeAQm3oCJN2DiDZh4AybegIk3YOINmHgDJt6AiTdg4lMY Pfr4CkYPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MPsRvk8lfobZz8C05/tV2sO0 h7lfMP5874o/jD+MP4w/38fiD+MP4w/jz/e0+MP4w/jDrMfEz+wfYfaPMPtH GH/2i/jD+MP4w/gT/+IP4w/jD+PP/II/jD+MP4w/8TX+MP4w/jD+7Ifxh/GH 8YfxZz7EH8Yfxh/Gn3gffxh/GH8Yf/YD+MP4w7Rnv0B7GDv7B/YzxK+yvzF+ Ty71fUaW+j2dne8xJd9htDO+YcmfGNvjz/eZMN9fwnxfCfN9Mf2Reknj/4f5 fzDvl75+kviJeJr4iHid+IfrMT/zfuvvh35+0+vHTnv9/KW/P8xHMPMLrK9P Qh//H+Z5wJy/U0/I+SX1SNipR4P19VScP6JP749+9HE97i/nL7DU8xmfh9Tz GRk7zw87jJ38EP0hnoE5b4U5P4XJN8GcX0h+wcisb+xvscPY2e9ih7Gz/8UO Y2c/jB3Gzv5Y9qNGxs5+GTuMnf0zdhg7+2nsMHb219hh7Oy3scPY2X9jh7Ez vpgvGE8w56/UO9Ke+YT2MO2pd4Spd8Sf+Qd/mPbUO8LUO1JfyvtBPSlMvShM vSjMeqBnyRca3z/Oo2Hq63gfOL/AX77vNrbnvBrW5+PYv0q9Kt9zG9tTfwmT b8Kf81P85ftsY3vyszD5XamP5zyVem++1za2p94ZJj+CP/tn/PX1oeRLpN7V WL+MP+ez+Mt5rbE9+WRYn49m/oaZv2Hmb+qPed6s3zD1xzDrv76eVF/fLfVU RiY+g6VeysjETzDxEKyPb1gfGe97Db5Fh53KlfeF95n1gHwt95d4h/H/uJmp Y4fV2nqsX5+Jd7gfrtuX7Tnmly3rh379Jv7h/n5fokSCRflc+X+8P9xP/h/v Z/vEa8tmWWrxF9fnfc62634jaaoWb/F+8v/018dO/7E7OJk4hNYOlvjiC3OL hi+2hr23f+I8jvUdZn3X549g79/Sz5/tFinrN/tJ7OwnYfaTMPtJmP0kzH4S Zj8Js5+E2U/C7Cdh9pMw+0m9vs5Vwub2j/dS+npg3tcunR8M6LBYi7fvNtjp H31fe55vt5U8Oe5tjhqQ0dDatUKkun2y2tSRnx5RQw2bb5T7OUSZNyhIa9Pv uOGroN1fzW3ybj3Z9LDel2EHDAer7l1R85dwNbTpwPAb5+b92+uDL1b7efIS kxi1K6R1g4q7bhdaL3zscNUlP34do6YX/7nBVvf76l7rU41Hd4hRDs6Jn6T+ UXg98b6o61NHt4hR871Niw6NC1RLWqy17175XbxT78TO5JC/f70x44Px0PBF mvfWH6Ml/i2sHrmw+uOPrTcurJ64sHrgpeau52t285L56s2LDXW85/rK/PRo 3gSHwFaP3tu/fL1tgo/J1V0ST3Geqq8fDtg8I6GUWYTS1xezX+lV0qL52T5R Sl+Px3o3qqBNqRHVY9R/Vm/c5+denl++G4//Wf2xaaU6pvuztPXx312PXFj9 cWH1xfr6YX29cOfO1hXbV78q6xfr3x8b+rgMbJKt2m/7aWnXvx7IesV6F+92 Mf3ZhBzlWOHwyPkzI9SqmC8sO57zKLT+OGJ3Wku3BmcNNda+WHPqk2zVLrG2 Td2Vdw1221flL+iWo4pVffR1RPgjw48dRi29+WuuqjHKo2n9tsEyHuxHJdjN KBUiHHbt5d3BDpHKrm7XaWO/Oa7a975VqU/Gu7jT99ybuw8vq6IHvhnz1+wo 1bH4oLT7FS+8V8/8psngkdYnotXS2JSy65eHKrt2+yt/sj9a/Wiyas6Xp0JV ys8LV9zZ525o8eTA8qrDs1TtAY1mPGl13TAr6MR6s33ZamLtLfmnlgYY1l0p FTYyNkflbOz59GX3cIPj8/zbGaXzZP73Szd1Caucp/I6HXn7Vb0I6f/H1i/P b5PRb9Xg8Pf2ty9Nhm1ea7Ou0Hrlao3HF9SxilJNTQ4c7GFzTtmYxbyJevD+ fvhfVV+sr9926LljmtOzEInHeng7Od7KDFYTR+ambH190kD/WV/1vy/wqV3W H5XPHJb7adE3ZObeCnvfmz+oZ6d/XG+1x+cZTcaf19rvqrzQ0fuScMG66lvd 194UXrxuc9+i8TfUf7f+l/vB/7/0fb2D08r7yfWsbA7llLpwX/js0pp7L+Y/ FP5tadiiKRYas9+X73Vqt1jpPC5a7D03tHs01TxGeOvCHZY2X8UKz3s7v1q9 y4+FOR/gerczYqaa3I0T+5PJpksaWMULt/7RMdS0c6Jw1aiuN8ODE4Q5T+B6 Y+/tr3km7onYl/X2bRbVO0k4qH3T5eeGpAifuVByxqbMZGHOH7jep4en+k56 mSr2OpabIlzGpAlPr/60xdRpGcIDtwXW7vmZxpxXcD2777Z/u6lEltjfxVzX 91hrXPx11BTnrtna+Gjvl7iwtMacb3A991YmmyZVzBG7Z16Z6ot6aTw4rbPP 5L65wj0sW3QYVl1jzkO4Xlad0Uk9LPLEbhI/Y9pwe433h++t0Wt4vvCW6q7O Vg005vyE61mXv2Vdt8lTsds+DLnZ2kHjp75m0+uNeyacaFaQXLalxpy3cL11 ppab37Z5LvYdV9ubl5+scTfvybdNZrzQxnvBDx3TrTXmfIbrRWSvTw3rWiD2 tOPuMzLmauxyIKBWxMKXwkuTr7je6qUx5zlcz/JxbqfTfV+Jvf3OonduL9M4 fovVrDNrXgsHhtRL32WvMec/XG++/6AtG4e/EfvqDeMs9mzUuMVKt7ub/ngr XPfWqi4LHTT+0N8DuFveb+irm9FyvtRikdc3TSdFq+iJ10tH2FxX9k3S+3y/ Mloln5saEFL/hir7uMm62E9j1IoT3dpVqvPhvyfQokPStyltYuR8Kv3U5pIn GsWo22ds2oTY+qkuVndcDlnHqIZmT6MPjv/w3x+4nLpq+rIGMdr5ldkt05Xv /l+5mtt2BtYPVNe+LR7jVjpGzarlZt+g09//9wr0vydS2O+BfOjvG3zo7xf8 3X5/oLDfG/jWw9ujZKyDwexyiuPvxbLUr8HxbdbXi5Z8BOdT4xqecvfNCPm/ /nsE8ffHuh/63UXOi+T8bm1CkYyGWarMHtuLO0qHGkJn2449fSNX9aj5okLg mzDJd3E+tbRmib77HuZKvPXp1dyYLutyVbHJ66baOofI+dWWHRPq3xgSpjo+ v9r2+g1XQ9S0ua8mNvM0NFjSe95MzyzlMNhmUPSgW4YexYqX7fEsW/nVWtPJ +0igYfngtE0vmuaqX/eVPGVlftlQzvTo2dCB2SrqZEBXu5/8De2cdpVLdtHq 7TjvYX8Csz/R55s4D6I9THuY/a/+vAfmvAfmvAfmvAfmvAfmvAfmvAfmvAfm vAfmvAfmvAfmvEfff8Yn/YfpP0z/YfoP03+Y/sP0H6b/MP2H6T9M/2H6z36Y /sP0H6b/MP2H6T9M/2H6D9N/mP7D9B+m/zD9Z79O/2H6D9N/mP7D9B+m/zD9 h+k/TP9h+g/Tf5j+c55A/2H6D9N/mP7D9B+m/zD9h+k/TP9h+g/Tf/3vL+vz /5wXYNfn/5n/aA/THmb/zPfE+MP4w/jD+PN9OP4w/jD+MPtPfX5Vfj/ZuF+C 2e/A7Fdg9htyfmXcL8DE+zDxOky8DRMvw8S7MPEqzPOT33c26mH/ChNfwsR/ MPEaLL8HbbwfMPcD5n7A3A853zDeD5j7AXM/YO4HzP2AuR8w9wPmfui/v+C8 kvEBc/7B+SXjCWb95ntTxp++/pX1E9bnk/XrJc+L+QJmvoCZL2DmC5j5Ama+ gJkvYOYLmPkCZr6AmS/044v1Bmb+hpkPYeYX9PJ80AujF0YvjF4YvTB6YfTC 6IXRC6NX/3vnnH8znpgfGT/Mh4wX5jvyf+T3yMeRzyN/RzxIPMzvMRN/4k++ kHwk+UHyjcSfJrPW1nUZpI1XmPNEzhfRJ99rG/8f/ZPf7yb/aXyexEv0l/NF zsOYX4kXYb7/ob4WJl/LeR7tYamvNV4flvy2UQ/13DD1tTD1iTD1tjD1iTD1 tzD1iTD1uDD1iTD1uTD1iTD1ujD1iTD1uzD1iTD1vDD1iTD1vTD1iTD1vjD1 iTD1vzD1iTD3n98Dh/m9ePm9cOP44v1hfmX8yff/xvaMZ5j3A3/mX/ylHsDY nvEOD7O07XrvRZ74Uw+Av9QH8L1LbOnRxbZrXGbrgyXKWqsPIJ5AL+strP/9 b6m3MrL8novxfWW+YP5AL+2lHsvIxEPy+/zG7xn09aD/5Ps/Lt//sfn9wupd PzT/r8/PF5Z/Lyy//j+t3vZj61v1+e3C6l31+e9/df0r7zPvqz5/Vli+XZ9f 1+fT9flzfb5cnx/X19/+3etr9d8v6OvZCsuX6+tlC8uff2g9rT7f/qH59MLy pf+ufDv1fv/q/Lm+PrCwfLi+vrDQ/LeuPvz/tXrhD60HLiwf/6/On/+TD/8n H/5PPvyffLg834/Mb39ovvpD88/67zUL+37sf9rvC7BeyO/9/c3q8QvLFxf2 eyT/1O9/XP3+/+l8t/77TP3vTRSWD5ffCzo0zHtp/nRDYfnx/wUCln77 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNV2dw10UQ3SPUBJJISAJJKCGRXiX0EjoJHUITISA20AgRsGJBsWJESAyE D45l7L2XsfexfNNxRh117BVRxzb293yPkQ9vdu9+e3e7b/f2/v/SdZsWb2wV EX1TRAbkOmA80AdoBFqAYuB4YALtgJOAiUB/4FSgDmgPZAMdgExgA7AeaA20 BbB98Jwsj9sZnMvwmjb+dhpQD3QE9gLNwCogz2fkAKcDW4FcYBIwAOgMDAO6 ASUed/KaoUC+v1UCA73fPsdZCwwBBgNdgO62LQKuAhrMwwjv3RPYDVwN9DJK vO5cYBvQA6iwbW9gpGW5Oe7r+McCY4AyYCkw2jb9nIdk7vubq2Se2nh9u8PG mc5BW3Od6fxk2W69ZYbtss1RvXnN8pjcHeHveR5n2ibb3Od5vMpc5TtXteZt f6h+Gv29uzlqsE6bXeb3KOB8YJk5SI69lTnubR5LzHVPc1bub9s8z333ODej vL6v453nHHfxmHyyPpcD1cBkxznAsU8L1RPPPAE41jnh+sGOnxjodVNCddbN ewzyPtcATcBCYDYwFRhuybhZVzvtL2OYHqozxjgjVEOMcWaohhhzVahOjjRP 4x1rmXmh/RxglsfzQ3VWZj4mHMbBRPPAOCY5lqHmI98cTHFcLfa72BxUmoMR 5qvEPs6wD6Ptd7n9mGW9wnEyxgWOh7GsCd3JWp9fbR/GOh7uscO5ZB54/1mL OY5jrmOpAZaY5yqfMQ5Y62/MxWLLQuAYz3d1vmq89nLbFTqWpfaTfWk1UOA9 V3gt5dHWGetKx7vSa8stl3mfs7xPvuUq62vMQYF553yRUWv+z7ZdgflYFKrv GvtEHy4ATjYnrF3WcB/PbfA8a+e4UF1sDvVf9l7WyImhGjnUO9p7DXXWD/v/ Jttzv1NsU+99mJ8629Fmo/X25mqtc5Blu47+Vuczt3sN5/Y53kLb1XtdjvVc n7nFOuczbdPkvDKnrBe+H6yfM6zT/iKPcz13pm3YW9jTS4HzrLO38x6cE7rD FzuXzN1Or6H9pc5Tgddwnj2K9cB+x1q4xHYF5m+74yWvFzrWLfaPvl0Wqkvy MNc5Zk5We68C+77D/q/xGtpX29d8+0JfewFXWi+15HiUY2N/LjbYu4scQ4Nj arBND8td1rl+d/z/PrKPH3oLqZdZ7rZOucc6a7zRZzZZp//7PWYea5xT1g/v R7N9W2ibQu/TbE7Iz17bsjfM9j7ce5/tm21De/a1reaQedjsXLD2NzhHj5Oj pB5J+VhIXwR9cRLvfwF/h+p9OeY+CfWGftCvDb0TnwGfOz8/AQ+E7vIQ2DwU 6sdtoN8X6tMLoC9MyndryHtDb04W9NdDve5V4PdQrxmN+SdCfZp12+LYfwF+ DfWOOUl7cZ9ngElJffpNYG7S27AU8ibIK4B5ST7Rn3GQE5PuxgTImqRaGg/5 VOje0K+qJN9eAqYn9dTZSX5z/kn7Sj+fA6YkvSd3AuVJ9+Du0O9V1vjtQGnS XWlyfTCfb3jfcT7zNXPyDvBPqEd/CXwUqtOvgXtCfZR+vRjybQX0l0PvD315 NuRP/yRe/vvtCf2t0Fs4FPrbobfrR+CH0NvzvM/jWd8A34f685IkTsnnAeC6 EG/fAS+E3u0O+J6ZdBe57luvbYu5+0Pv8M3AV6F+cCvQI6mXMIdPh/I4A/rH ofd4KvQPQ+/0F8CNoftQjflPQ2/mGOjvhd71EdDfDf0OqIT+Qej9PgjcEHrL uG5m0toW54I19op5JIfcY1jSPty7Imn/gUnxMJbOkHlJbxLPGZt01kjIUUk9 tytkt6T3KRcyJ+m/SyfI7OR3DvKuUE/nfRqUdKf44/Kgfeb9SEl3ZDDkg6E+ Phz6I6HeXQy9KOl/D/PwfigXD4fuJ+9md8hbQu9qPvQuSf+ZWAs/ux54Jw44 v78Bj4Z+WzAPk5NycX2oR7A/MFfTkvLF+pqfVGMZkK2SfrP8CfwR+g1bhrk7 Qn2qF/TbQm/nvx5MFj8= "]], Polygon[CompressedData[" 1:eJwtlGdsSFEUx+8tCRJ71iq1atYsOmjt0UERM4JaQVQQM6XTikTiK2LvLfbe M3YiSEiIIEYkNjF//5z74ffOuefe9949Mzpr2oDsCOfcaCgOm2A99IJUaOWd O4xsCV3gCSRiW4CM0jn068jBsBDasT6u96Ab7Icm2Dojm8EBaMo6GdkCPsMf GAr94TQksJ/j7B8bYS10hb5Qib0KEIM+Fp7BB8iA+rAKKnrbS4RbsAXSoBPs g8bsN9c94IHuwXousgjqoO9AToOpUJn1amQSjIP78BbSoRDuQSPOzEYWQA30 NeFfE+Gu7oVtBjIf7kBd1tnIPLgNtVlPRuZCLfRtyCkwCdYpttiWI6OhnDcf 5VsWXISrEB9icCXkMDXY3kMx3hmBjIRDyiXrlJDToyEHiv0A+AUvoQ8MgYac 3YOcA7PgIbTGNg+5GKqjV4Mm6BOcxSrSm66Y1UPfhZwJ0+ER/Aj/WgpHoCRn Rjn75j94F+46DFLYO6u6gh56z9s39O4SiPIW07wQszchprkh59ec1ahqczg0 8JazgnCnG/IVW29kgrNai2M931nN7Q4xkO/K8c7gk3xRTjfAJ+inc/ARboZv ydaes6WgjbNvRnurifxQY5fkF7aeyA7y2VuPqbdWOKulQdiWhZoa7q3mVesr 4QwkY+seYhTjrUYLQ85eOavxopDTk9DRW2+2hXPy01ts4/QP9CRvtZYTcpPp LdbKUQn0frAIfSQ8DXfWXeXjdmc9pN5RjW921oO6u3xQLV9QXJzV9Hf4ArGQ CV/hd6i9FPgJJxQDGAh74Vs4qx70Xg+LvWZQT/TLIZbKaTzrU8FXxagb6/PB V8X8eYjpynCng8FH+aaZsNVZT6oX1aN/4bGz2tTMqspeGRiDPh6O6V/eZqVm oHqjprdZoB7R7KribZZohqWhp3qbRZqRL5zVrGpVMziDvXRvs1MzM8JbTBQL 9XRp1uW9zYJGUNabTbru1Fzvepu1sSGWr53NUsW0v7eeVi8rp/8B9rakKQ== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXW81lUSh3nPTwlBbFFEFGPVddfublRsbGRtWUXFQgxQbEQUaUEvoaiA XYjJ2qBYYGGuXSAq5q6rO4/zvJ97/5g7J+bMfOfEzPze2+mYXgecWpo1a8af KvgOwa8I2jToH0FH1Jo1OypoZLRHBHUO6hZ0OPMxvlrwY4OfFnRttAcH7Rh0 VFD3GDs6aHi0hwXtGjQ0aEjQzkEXxdyZQWcFXRf9UUF7BN0QdH3Q3kETg24K OijoxqAJQV2DDilpsx9rg64MGhjUP+gM9Y4JmdFBXYIuEOPpQRfKkRsbcw1B +wZdLJbeQUOCLgm6NOiyoD5B5wRtHnLrBs2O9hVB5wadFzRAfn7QGjHfV0yX uw65q8R7gVj72r9Em2dr72ztDa7lHoHrWjmy1+gnc0ObYBwmx+ZwORiv1mfW rFkS16igEc6DfXyMjwvaP2hG9B8MmhY0Wqxgv0Fd2L9JG+gYK1YwjpOzf+Pl YGxwHXI3ipX1E5ynf7drGFsrcIwMfnPQreLlnG8Lul4sUzhj+7c71uAYeAcF 3SUm9N5SS53oukNZsN8pR+4e7YPxXjm+/kt8zD8iDmxOVe+t7hl8knsHnxz0 kBy8A0r6dL+4B7mnDzuP3gf0G70DOa+gtYMe1SbYnxALGB9zDD+m6zNYnxMf uNaJ9fcFfyroGe1j5+lajtN/XB2sf9Z51s/UH/zoFHqWDFoqaJGghTH2Q9As 9wWML+gPfd7Kk7V8Ly86D96X5NicU0sZsL2iD+z3y87Tf9Ux/H5NWbC/E/S8 Nt/QN7DPreU9Bvtb7gX9tx17XtwfB30S9Lr6WP+u+vDpPTnY35eD/QM5GP8t B/vfjA0fBX2p7bnamCP2T+XY/Ez+hlhmK/dF0Juu/9x5+h9qh/34St34NM+9 APvXjtGf7xh+fCN/X13Pui8LHMOn7/QHO986Rn+hPoHx7yXb39fyjvMuR7un D3n2P+sb2H/VH/bjF8fo/yEm7P/HeXz6rxw/mpWcB8v/9BOffnOe/u+OoatW UhY/WpbEgc2qJF78aB7tH4P/FLRoyXtAv0XJsZ+d+1Qf1nNtCd6qpD58Wqwk B3vrkhzsbUpyMC5ekoN9iZJY8Xv5krab+5bwE+zrl7SzdNAytivf3B/ux3K+ PdYv6zz9tiXtYKOduvFpxZJ7AfYVHKPf3jH8WEne2r35RP87OIZPHUv6g52V HaO/aknfwLiK8/S3Dfqr73+yd4TYTMwjB5KTVi9ZQ/SqZf4nV5MLdzS/U1sM tl4gZw+xjiB31+MIb3KEtQP5m1qDOoUaoJ5TyZujrSkYG2cdQV6u1wT1GgFO XsZGf+eI0eQXYnZv9ZGPr7d2IF9j7yLXnOU8/QnWL9QHyF0mJnIv+ZM8WK8h rqg15vvB4iCXDRTXIPt1TPT7On+l9lhXrxGuUY4a5HJtn6udep/cO7TWWDcM Ex9j5O+/lKwbRmqD9z5Km6PtX6LstWK6vtaYh8cod6h1W19xNbinDdYd5yjH XZkkDvLvBHHdZL9eW4wTBzn3FvFOcI78Sf66X3yTlGOMuPeMa6Y6NtI+6+o1 wR3auMs+PpGfp2iH/EueJT8PML+OcX5yrbGGuEdMd6urXitMlZ4T0/3ielpZ 8t10bZJLiavk/0ftg+8x++B73H695phWa6zJxmp7unJT1PeQ+J7QHu91Hd8s c8T0meKdIdZpjs3QNu9vVq2x7kF2sDYbtPOCuu7Tv6f0YZZzxJgOxiHwkU95 28SztsYZ8JH3XtE2ue8tdZFP56j7dfvs5Rv2n3R+tj6wrp4D31Sunpvr9cBn 9sFHDn2n1lgTvKs/jL1da6wJ3q811gQfiPVD+zOVnSsW7NRzPvwjcXyu7Xn6 /5s4yEk/qpcct0B95MGvxDLPPvjm26/n/vn6TZ4l//INx/dZd3EvUG6u+r50 b74QEz58p23w1fMkuMmr3+sTGH+oNdZM77n+F9egl1xZrwt+de5j1y2sNdYB yPEdemTwbvrwu/sC3mbmRWxX5kvw1cyp6G1lvkPvIuZL7Cxq3qzn8lbm/xal sUZobp4Fd0tzZz3fL6a9ZczX9XzfRkxLlsacv4R5sZn5nrnp3o+Xa411Q2vx LaveRcz3y4pjefvgame/hXm9nT60N+dvF7Sh+bWNObuDb6mj/bbm7I5N6oD2 4uvUJLevqlxLdWPvZnWTM7cPvrF5As43MLmCuMoYcXqbkrlkpPfsD8/yqpLf e8Refn/Y1BgEX9u4yu8J/A7B7xG8ZeZ59+QPYuJt3vvf3MvFq8AddHQTXejZ qmQ9V7S5iXg2KFl7La1P7Bu1B98vmxkPLw/eq4l/G5XMZXWf8Zf6n98IeNOr ewaraXPLkveU+nmLku8GO1trC/tbiQ1c24gN+9uKgf3b3n3+Z9Be8Bi/MPhJ UC1j+A76zdlQS1Hj7FKyjjqulr/V7GT7+OC7BR1fSzlkqH2OK7kGmWOVByey uyo/VBnazO+ozHB1nlBLjF3Eye9Iuwf1iPYJtpGBd7a9Z8laDhnqKNrUXNRX yNR/L9pTnT1sIw9usNV//8H2idE+smQc4Q7x+9I+7tWJtpGh/qAOoT7ar2Rd hww1G23mewY/IKhnLX872s/2SbaRZ35/x8crf3K0Twl+cNAptbRB/Undx9hB jvMb14G2mWOc35TAuLc4me+qzonqPDXat5R8k9RY1LjIg507ylg/ZajDqLeP KZkDjqnlb3m0u9fjbcmYy1g3ZY6wjSx3/zDv/xGuIT4z3135w7SFTHffMLLn e3c5u9NL3q1jtQUmchLv9ijbZ5a8i9zD3iXv6/HqO9ozPbfkPeAO9Cl5t7hL /UqeMfvGHeri3lxU8ix7+i7OUuefe+l+XlbyzDiLM4o4avnWiQNruK63a/H7 NH3nLVzre+B9n97k7ZwtNs70Au/MOUUfajnfR5nzivvluzjPNve6r37B+9lG 34Xq7F/00zfNt9MZYjtDX3h352j30qLP0b44+CXeMe7bpY4Te4iDG+sb32bE jMH6i07iLPUw9ew1JeM7fd5Hf/EwTt080fdysbaQHVQyNtO+RplB9ieqmzb5 4kplBqhvoDI7iw08azsHLr7XbnB/2I+hnh3vbII+sifEKWINsYTvyTO9J8ij e4QyPYxJwzwvYhXfsb096+FNdAxXprPrz/I+jvJMea/g6+NZE+Pq+q5rIjPa s+5im/sMH+P4XraZ31edJxkXh+jvHmLo4T1kT/ZWnu+xeizkO7keD8c6zz7d 6F51VYazg4+33aB8T2VYc55njQy6D1QP8/zGTyzj3d0XvEWV7+lgxzkf8ijx rZfYGtR/srpO9hzRRcxE9hblD3Et+fBQxxn78467lpxM/iYv893C9xW1xacx dkSVOfmLoO5V5uSDgt9RMiffE/SMd+/j4N2qjJH7Bt+vyvdD/if3UwMcFmOH B10d/ZlgqTJvM3Z/yfFng54u+RaWqrKmId7ND9qiylphXtCmVer+OmijKv34 Kmj9KmuRp8QKzrWCP1kydh0Y7dtK1il7R3ufKt/hwqApJeNYlxjbq8p3y9jy VY5vXqVt7O4Y7Z2qjFuvBW1dZT21c/Bdqowvuwbfrcr4tUmVWLdwL78suZ+d o717lfFswyp9AP96Ve47Mne61+zzHjG+Z5Ux75ugBSVj7bYxtl2VMe4J/cTH 7YPvUGXM/qnkuXKmtwfd7T3Zqsr9ZW/XrvIsOcctoz27ZI02xz7tzYK/UrK+ ezlo4yrP+FttY7dNjLWsMqe+GLRBlffsBe5DlTXm6sHXqDL3HBC8a5X/h3tV G+ifEbRulfEM/lzJNnftE3FyTz/Tr3W4U1XmqjWr9BMfWfe5a1eL8ekl81zF HanyfbQLvkyV+XjV4I+VzJedov24b6ZttCeVzL/4/ZL3e5VoP1qyJuoY7UdK 5uCVo/1wydzfIdoPlczZK0V7Wsmc3T7aD5bM8StGe2rJ3L9CtB8oWStMDlqy ytqgefB7S9Ymy1Y5xzi4WleJjT1+vuQ+s/ezSu5/q2gvXWWd83r0t6kyf/MW 7yr5HtmD5dwHznAxz/H/TnLLpg== "]], Polygon[CompressedData[" 1:eJwtlFdPVkEQhs93BjWWWBJ7R1QQFZVYUGkiIiI2NASiiGBvgL13hcTovzDx wlhi7xpb7DX2bozGG3vvz2Tm4snM7O7Zs7vzzkSXlueVhUEQFEEUJEkQ3GAg AfpBF+Lz2DjoBf2Jb2G7QXc4AD8hCybrGuavYbtCX7gDTRmbiJ0DW6E68Tjs +EgQPMO2JZ6JXQOPoRXxNOwyeA7RxLOw6+AJtCaejl0Bj6Al8VTsEvgMd6EH pMJDaMH8FOwieADNxc66AJ5CG+IZ2FXwAtoRz8ZugDfwEVKgNxyC35AT2j/P QgHrN2G3cJ+X2CjiQmyivhP+JWxn6ON7XYB43/MevNV39TO/gg+QDD1hJ3yD dP9mF7yHGCjnf4nsf0XzBEmwzd8g1decga++Vyxshy+QBh3hIPyC7NDeaD/8 gEyYBIfhD+SGlpMa/O82tgKKoBrxHvfHwk3VjZh2VCOjxTSk2qnyu+SJ+el+ llHElX6mfPwd/pYbsSPFcqK5WA+NiZtAKX5pxHJdSLzZ309zcc7vqjnZ62+s c7omwvwIsb3GQC38mlDMXsXEtfHriPkTGDuFjRPLZXvYB98hIzRNxzMXKzZX DiF+DGhR5es3+CexZREbuwgJYlpSTVxXXYjVitZcPfy6Yv8uIW6E3xBKInbn +vgNxOZ07KrmViz3WnOX9a5iWlNNDBerIa2dtaHV6gDGFoZWs+liNaG1MF81 QdxBTFsFnptOYnerdC0MJl7umlCtnnYtqWZV+yL2rdbAbteIakNr/rXnWHOr PeUI/NVzhlbTWWI9QGt/KRyFf6qD0Gr0uOdQc6c94RgExHmh9RDdawjxSt8z W6xnaK/QM+eI1bzWuq7JEOsR2hv0TZKJP7m2KjzXKYzN9ZxrbaSJvZXWSCr+ fey80NaccA1o7rWHvAutB2rv0xrPFOtZ2qsW+9mHieVG76C1OFBsTmsyV6xH am9cHVrvGST2Njn+NkPF5vSN9CzNxGpXz/QfUWOqog== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGm4llMU/erdx5CiFKVBJUMkSRlDIjI8psxTs2i6ScUVaS43kauBJLqI ZqQByZwyVSpDkjEpFaEUUtZqre95/FjP3u959znfOWevs/Z5v9rturcsKJ3L 5ZaUyuUy2Csil/sNKMDDJqA9cBvwM9AO6A68BZyNmCmwJ8O+CNsKWAu0BroC vwAdgB7AOqAN0A3YAtwM3A58AywEXgJ2AJ2AO4CtwC1AL+BP4FagN/A30Bm4 E1gGvA4UAd8Bi4DZwHqgbab5/wDMA+YCc4BC4G7gVaAfMAhYAXwAvAy84vd8 19/+PcAA277GXUAfYIjj+H6+xxsGLAUWAPe5X6H75LBXu2EHAm8CbwDDHce+ g4FATAYMhb8EeM1jFvk9f/NfYCdwL9ACsecBq7zPXZ2DccBoYAzQDO/LAmvc NhJ4yO9oi4HyeH8A8DD8SrAVgbHwHwVGud/jwCNumwRMBEqAKoitDDzmtvGO rY62asAT8CcDTwPPGE86doLH43xrIbYm8FQmbj3j32EOlwOznF/yiHyaDjzn scnHJuZkc9gzQ+/JT/KySyYOF5gf5Da5TE6Tq+Q4uU6OkYPkInnYE+iYibfk Mjl9AcY8H1gN//dMXCanD0dbHeDZTHwmZ8ldcphcJqfJ99nmBDk719yY5/WR V/2c60F+19c8etk+Y8jN/o7Nc7S/McT9d7qdfXa7fYDzP9p5HWxukYPkXZHj zvP6yI8m3kvu8/nmUbHnx37D/scnjksejXHMKOeXvCGnxjnuEXNkvN9P8DN5 NMF8GG+OPOl3JX4e7ffsR36VuP9E8yXPL1pyjpya5P6rvP77/W6yOVTH3Jnk Z653mseY4rhC7zX3/pwQ56iF54Y497bzNdc5OgltJwLvwP8EWOwcv5dJ8wqN 2f/rN899FzvffZw/+jzv1Is3nLOPM+kO9//DTPpFPryfSe84z48y6R1zxTMx 0+ti/9edP2KBxynxXnM/T/X6uP6mXsdMz32h5z7H68mvY5HXMstr4PxXZtLZ xZ7j+54b68a7mWoH1/eB1zjf8x7kuX/odb3mNXOep3u/p3vuS9zOvVnm9X3u fZ/ltS71Wps4dzM8pxX+/f3Q9insg5l09UvYEX7/hedH7pe1TlKTPvP4jCW3 yKuvMp0d9h3p9ocMthd7/771nlFP2OcB4Gv/Bv19Q8/0qVG/ZtKpZm7nPPdx 3xHe++8z8Yg1YK339kf7rA3UzXV+/5P9brY/OYb6uN6xG+wX2G5w/FqPS12l hv7sfrQbHb/Rz9RZausmxxZ7jdzDzW7nujp4ne29Vvo9/H6zxykTyhPXTs3d 4n60vzmeHKL28dz8kUmje9rymXq9LZO+97Ld5pi8XlOrWQv+yVQPtru9t+12 92Wd2OF+Hf0bN7vtL8d39lidPB79O/0bW92vfijfzPUAz5/3hLpoS74PsO7v cjux27FD7A+1zTm+VMhn7FGh54F+X9oxBHWfYxTZH24b9pN9xu7tc0Ges20v x9QLcXGE87DF+7zT8+bvNnVdfh5+Od9JmMeqsCf4ntAAtoLPF9/vb59gXSF3 xtgfa1vePu2B9iu4nf34XNE1ibpW2b/Ftkq+txxkn7G0B7uddYF1fWqm58qu YePcP99WxWMeYp/tDUPP9Pmummtbif2nbKvbr2GfsdyPGvbZdqhjOHZVt/O5 pusfbS3fPSb5mX5ttzP2+NA6ucZGoXdsf9brZL9TfYfhetnvMI9zhPeBfuPQ M322Hen4XeYZc01+1TVnyJGjzRNy5xjzhLaefWrYseY/bX371OPjzBNyoYFz yjwf77UwVw29z6y3rLsvZNqzRl4j19HYc37Hcaxlp4TuiF18dnkWqQPUN7a3 Mm/PCvXj3nCPWBNPsz/V+8bnfL1kjeGdgXWK/gy38Zk16wz7MxzD53w94xmZ ZtvU8zzL/vPej3LeE56RZvZZ61hrWdNYH9i+xuvgOl90exnH8+6X/9bJUi53 dUg/r4Z/TVIevgJuDdX5k9B2clL/V4D+oe+Y+mjrEarbV8K/Kim3y4D2/t1i 2HdD9XI97NpQ/dgMuyFUe1bAdgzdL36H/SVUb47CeN1Cd4Fa8DuH7hGspbyP FptXrNmstby7tjCv1jiGXLqR5yhJe8k31t09d1zYDp7nYtgxoVp/BGLrJOlX O9hWSdzieBd4zO2wf4Rq3U7YHaFaVYr9QnWsH3OXtFdnwi4N3VMuhl/kc3h7 aB+5h5fB3u8zVg9+95B2N4TfM6THnONcz7Mx1xTS30bw7wjpdEFo77hvD3Pv Q3e10bBfh+5hzfB+QEgvD4JfIam2VYU9OKmG1YStllS79oPdO6mO7gVbOknv y8OWTaqjvFudY25fiLZhIS0jv5ub/83RPiikR28DvUP3uxZoHxLSzdPg322u s9+55v9q55j5/QT2wtA98gG+9xmcRR6F7mgjmVufX3K2n3n7IOwLnhfft02K mQO/ZdI9guNN8ZiMneb4qZyv5/MqbGvrQO2k/eXeXsNcJdXBNaEccP8vZf5D mtMSdlPoTnU5z0HoDnYl7J+hO8/1sJWS7hJXwf8ndF+6FrZMkl5dB/+ApDvJ Ddy/pHsLz3Qu6VzzNy/y787gXLznXEdbr2UE7OVJmn4P0CRJd5cAfUP36OGw lyRp6sdAn9AdfCjPRlJ9GgicnaTTXYEjk+rDbfCPTaoPPAf3+iwMZn6TtLwX cEJS3VjEvQ/Vgfs4/yRdrws7NvRtsIDzCmn+fNg25t502HYhXRwPe0VSHZoH PBb6ljgObY+GvjfOgF8S+n7I6wjv7JND43LMUxDzROh743T4E0PfFSfCLwzd 4XhmeP/j/pNHh5tLXUL6Re3i2ari80UtXBfSwx9gvw/9d1UuKcfMb+UkHpAD P4Y4xDy+SV57fzivmZ4b13R00rqqJ3GC8+EZ3d/nlGu9IWm91yflmPm9Nimv zOm3sN+Fviuo0xtDWv1riLvk7ULYUaHvLer38pCGU1NZA6irn8KuDP3n9wXs qtD3zy0h3Wf8TTw3oW+t1bBfhv7b6xSqQ6xB1KeK1qgDk3hPzjOfDZJyujX0 Pya/QajN28LfIqEztuf/SdgtofpCbathfWM+r0vKKetvc5+Lv0JnkueRGv93 SOephftaD3eFzifPJmtFG9eLG5M0gvrQOomv5Crrw+5QjdgnSS+oFTx/N/kM kuOHJfGcWhvW2/8A6Gfx4w== "]], Polygon[CompressedData[" 1:eJwtlnmwl1MYx386z4mKkFCNoiQit9siiYgrW6Sxb6luslX3llTWZixZyjr+ MAZjxi57i2QtpbTYkkpoM9nSZEuTiM93vuePz32+zznn977POed5nve2ra0/ q65BpVKZCAGr+HMGLEiVyjo4Llcqx8L76NnwCHNd8DP2EMjohvAbc9fA9YzN hi/RTbCPQXfmd8EeBv/BDhjF/GYI5hKMTn7G48wdgd8Ie7gCQu+UvVZrbmTs KPxdsbvBU3Ai/t7YangSjsffE9sZnoHT8Ftju0JjdBP4g2eNgacZOxm/pfYF jRRr9l605jnGBuAfpH3Aszof/LbYbvAE9MqOpQq2wJ9Qx283wl/orWFdD+31 LPgXPQEGMzcMvzf2ZfzW6P1gHHo79Gd8KixFz4S70aczf0A4hjvhVP0mvMft 8A9sSj7jNsztn/2s8TCAuenwBXoZNFXs2WexBSYzdyZ++/CeH9a96Q6wB8MQ uBy/D/ZV1rdEt4JtyTG/wfiM8N4WwXXoJbA6+U7Hwkz4GP8deBM9K5xbk6C5 7hK2osdCC/S+2VrvWKb9w4foNbA7c3tkx34t/M3ctvBZ6wwuZu4ieA/9GQxi 7jL8Xtgp+P2wQ/F7YofjX61zxV+IngW34PfRO8I5dRvU4DcP59wwxQIrWDsV JqJPYr5FOKf2QjfLjk17Gs/YYvgmuSY6MleHfQt/iWoA/Tv8lJxDOuv78ecm n7nefTt2n3AM2su92DnJe1Kst2KbhWNWbt2H/SA5xxTbHdhW4RhHqo4ZW5wc Q9/smuhS3jFXvw3flWp6Efoc1hyKXYXfKbsnqBc0gCvwny+5XIN9CF6Cz5PP 6OzsO9ddd8QenV2zqtWmqlH8R8NzDUtu34VtE85x5f4kbLtwDZySXeNdy56q ddbltwGD8QfBa7yvB37/7JruXp5xMxzD2KfJOdIhO+eV6zuSc7cHY41LDqv3 3FRiVQ86N7vHqbfpTPpl94huJebRUJV9t2/DlegppXb6YgfiX5Kdix30DPSo cpaVUov3hOdUk0Pwa7P3opyYgO2dndvq0crlBxh7PTmnx4XvTHe1c8m981jT qeTgCuzX4V4/XfGhv4X56BlQG+4Z6hW6w43on2EE+gf4Bb0prEfCr+jNYa0c vgHdk/d9gn4X5uMvCOeScmpeqSHVznKYhn4wrNXzvgrHqNjWQmf15vBZqoe0 wx8erlXlsHrDyvBa9YiF6I/CvWhlcu8bGNbqgUOVmzAv+cxWo68K71094IWS 0zWlxpbLh2nJZ3QgcyNKrqinv6LcL/WiPV+qXMg++8n4F6IvyD4L5dwJ2d+w 6lKza+A7oV4Kc8LfmKpyZudnfyP1bdQdjik5r1zXN/l72BDuZRt0R+gfw1p3 9mI4B5V76gn1JeeUa+rxS/WecG/VHvW/wFpYn/w/wfrwN0nfIsW4rsSsWLXm yOz/AfTtV838D0xzDZs= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHf4jmUU/sR7HkUyol20d6EoJSEq7T2udldTRvpVEpHNT36RrIyGklAa ShNFJDLTECkZGRUZDan77r6/6/v9cV/nfM/7jPOcc59z3u+tdVuby1vvlsvl JpTJ5cpCNohc7gzg3SyXKwYeAzoDB2JsNeSHwP7Qf4L8AHgPuAe4D3gG49el XG4X9JrQ10JOBY6FvhFyBnA09A2QnwD9vHcX4GCMr4H8CDgU+jrIacDh0H+G nA4cCX095MfA3tDvhWwFVIFeGWgJfV/IVZDvA8dD3wQ5E+gOPAy0B7oBD/k3 z28HPOC73u/fXTxWBPTwukeAJ/zscaAv0MnrPgM6Ar2BE3HuLMhPgdlAWz/r ZJ1n9PR+HYBelo8CfUrN7Qo8aFv7+0yOjQGGAEOBOT5zEDAKGAAMBEo8t5vH uvseT3qMv5/22j7er69jPsLrOXewn/f1ecWO2zBL+mO4JW18xrLEdvTwXZ+y 5F1Hem/aNdrz+Pxz3+NZ4CWfwb2f8zjtfd6Sdr1gSdvHei7Pf9G2cv0434dn /g7M837DvYbnvOx1nPeK59KX4y1p4xZgrm3bCnxhWxiTIsdpGzDfdm0HFjhW FcCHbyAnZOIU+UPe/Qksth1/A1/a3r+AJbZrGTARmAQsB14D3syUo8zVydDr QtYBXoX+ludwfn2M1QNeh/4O8IbXTrHk3J3AUt/7a+Ar35v5xZxmbjO3mGfM N+Yi84+cZD1gvjJfWA9YG8ht5vFU35V5PN3+Ye4y75l3fwCL7H/WA9aG9l7P fCL/f8yUx20y5TTrDfOHtYQ5zfxhfjPPOvgZ13W0TZ29V5Hj1MV2k//MjTxf h9u+rp7HPcj3Pra1u9fQvh7+zbN7+jfPKPaafD739HnMi35eQ76T9zuAhZl4 2tnPi312f6+hLSX+3c3rSnzeQO9F28mRsb4z7e1tMEcGeR35PCIr5G0+jymH ZIUcHuYzRnhvnjHK6/M5PNAY7WdDfY8xPn+wz+7rvQfbDubcs1khb5/38zH+ zbNf8l7sG9McN9oyzvf8DkihnFiRKR/I6ZMxtjlTfubzlnyujfGKofz7NlMO MpeYH+T+m17P3Hg7E3/IMXKQecM5k7JCznAec26K16/M1P+YJ5VCXG1rO5f5 HOblJJ/LfZkj7QzmDnOEnCGHWf/JT+YXeUdOTs8KvYq5k+9DM0utm+W19PE8 +3mvkE3sP79l6hODfN5U+7bIfuY5v2SaSx6dFPrNnvarJTlFH3/u/WnHDNvC WH7h83m/1b4fY7vA8WUMv3QcGeOFfk7uLnbsiUV+Xh425EIxZiyXeo8IvV/k Y0nJurebYzzRHPm3VAyWOY7nYLys96UdS3w+x77zXPJhuWM+x/fv7Vitsf8Y 8+8z1cZqWPsDZOtM8V+VFXj0k2O+e+g+K+yL+fYZ47DWcTgbz8vZ74zJOseF XFhfKv4bSvl+YykubDIfyJefzZnPHNeOjttv5sCZfsebbH/vsM/5/lTZ71Xk 0RbHmvZuLRXn3x1rxu0Px42x/Ssr9Kx/HQv6+E/7mTH823Fkn9np2JbBmf9k 6o+M5y7r5M42+4x82W7OMD6M4Wuey/X5tRXcB7lf5nH6oJxz4VtziHMZj/Lm 2J6uE5xfw++Trb1fRe/JfGJetfH9yLmJtqWs7Wkc2muC+VDJ82dbJzcaeZ/Z 9ncVn1XVOuPQBPIUn8s+uI/rC59X83zGiX2aPKwe0lt5rLr7NzlyXIgjPKuG 55Cn+4V4Sn4dFeIXOXtAKI/J90OiwNNaUeDmYVHg2hEhnjLvDwrlykjHdpw5 e0yIs6zRm80rvrec6vcT3rNOFN516nicsq71U6y/6njVdszI/RNCtZDz6rnm sk438H+ZtzxOzp8Wejfi3Gah39Q5drrnTPba/Lr6Hh9v7vJuozB2fRIXmofy inNegOwTitunkLeGasYSyAWOwR2cC+wRhfda5tRF+L3Y8a2Lvbt633eADuZW dYzfFapP+0K/J5TfL0P2DPWlxyBPTPIv+dvEfmsIeZZ9UkzOJNU45kFT10au aWaf0B/Nfa9u5GTSHo/T/0nPmVuNzOd+kPsk1ZoS6A2S6kUv6Jcn1crLIC9N qsfDgCuS8vVKyKuAc0OyfUgfQJuTagHrVkPbz7tem3TfJ+mnpDrVEvoBSVx7 GPqxSe+29SHfC433Z9yTatzpkO+Hat4TkPsncfRAyHpJ7xcnQHZyTp4MvYt5 cwz0mSFOnAH9g1CN7A35Sui+7Kes77+4JrFGsD6MC8Wbsb4E8pZQrXjb/CA3 Dk6ylXYeDn1QqOaOD63h/EMxPjBUHw+D/lSoph+SFAP6n37qYW4wDi1s235J MWO8aiRxgnyYwFx0bGslxYD+nwV5Xqj/XY3xm0I19ULeO1RbLoAcG6o/12DO zaH+WjMpTozREdCfDvWGI6EPDvWPR8jTkJ+YW6ND+fUoc9Fcpr8fss/5vWFE qA/Q963s/w/p11DvYsxbOu6M832OdeeQfbRtBvQHQz1qKmTbUM85Cs+HhPoW eXpjiKtHQx8a6mGfQBaFeuB85mKo/n4MPBDqgdMh24V65keMW6i/TYO8P9SH O4Z8Sn8elMQ/cq885O5JdXxhyNf08w7GPPSNZBl9HKrpd4dqBOvDN9C/Dn0X uS1Uj1iL6PvmSf7n/Vok3bEC5B5J307OT7ob73VvqNawzqyAvjz0HWgreRHq B0sZk1Cvqoy5eyV9C9kTslJSjS4DmUv6DlQNsmpSfqwkH0O9ZzWwJtRLVgE/ hr4/3QlUSXqvmQL93VAf3QRsDH1z+pVcDvWqwNws6fvTBUkxZnzJtfOS+HZD KJeYR3ND3CVvGyXFiTFizp2TlHfMs7OTcq1hEs/IMcZ8nuPO/GuSlIMXQ16S VFvXAxtCPbVpUuwZ98ZJnCPfdpHvoX68Bdgc+h5Grl2YxLeykOWSeuq5STz7 /z2LORTqx+wzi0K9Zg5we+j9gjVgdqgOrINcG/r2tpMcD31ja5bEV3L1PziV 5SI= "]], Polygon[CompressedData[" 1:eJwtlfm3kFMUhr9unXOUSN0GSkiieVBRGu/VvU1ESShjLHP3GsoyE9YKa/UH ZCZTlqnMQ2ZSGjSHqJQGSWmelOf1nh+etff+zjfss8+799dibPWIqpKiKCZB LXghFkXXVBS9sZXwFLwINeBQKIqLsTVZb4PdTPwY9n2oA78Tn8PaUFiGfxBG c/0o4g7YLcRvYZ/M74rYWqyVwDfB73waPtAzUAZvwzNwmPWEfQ46cH83bDkM wh8IS1jfD5dw7Qjidti/iA9j/4Wv8U/DXglTc67VcDT31oXvgnO8DhoTbyWe A93xX1ee0B/aau+wnLUVUCd5j9pbe2xIzkHfbovdD3vhK+JW2FGwL9rfxLUz uH8y/j/4nbF3whPKmXgg9j5ozz1do/ess5iS13UmB+Ai+JP4VGyRfEY6m9bY X2E4rCNuqrxgJGwgPgm7As6HtcTHKg+4EDYSn5z9ndAyX9ud96DcT1EdYQT8 QXw89mV4AFYS18S+A8NyvaWRh+B0cuwVrbFn4SUoyWd8ebRGpI2fg2txl+qa 9zwDO11nDLXzXrZCi7ynIfmb+tYa4nZ86x78utBFe03OUbkNgFfgVVjNvTfD Nvy/4Yvgd+6CHfBlcA1eg2lQFfx+1f5QtLZ0BoOxc6AB3ET8ILYT3zwT2wOu yJpOuUbPYzsnr1XkWtyb966anMfauVDgnw1XwSxYxfrHcIG+CyfCeuJu3PsI fl/ok2v9cPZ75bP+BY7LZ75S34JPg6/doDWe2Ub8AzRI7gFpvxO8AY9Dv+ie 0Nkugyb5jFW77dHaUQ1Vuz3RWlEN1WvHQMfonlNtJuL3jK5RIj4yuZe+De7d GslaVg+rlw5Ga109pdkRk3tNM2QTdku0tj8P7p378btH91C1tMK1Xaz9CF2S Z15lzqFj8plU5GektWHJtZfm3oyeUWVZk+9Gz6TyrLHboRX37wueSROkDeID wTPxDuLWybNRM+TuaI1Km5p5VcqdeCdrC2CczpZ4B/58uEW1Jd6Nv1CaJT6B eDv+PLhNtSbei78YxqtWybNxKdxK3JJ4D/4iuJp4NtTPml0HG/VO+Iz197CP 5l5STzXk2Wv1TPCMvAZ/Ul4vxX4PY6O1qZ5ajL8EGueeWY5dCp8Ea6YJ77s+ etZKc02Jb4zWnmbiZfgjk2eh+v8j7KXRs7sednP0meus1QPqleHJva2e0exb Dc2iZ6D2qpxL854XwUIYF5zjPJgbPQsaYefDgmhf99Tn3aXJvaAaqBc+jM5F PVGPtTHYWcEaH0I8OLn20sD/sxKaR8/Ms1jrmXx2OuM1XF8FM4NzVm/+Fj27 1aOq3U/Rs1o11L1ro2evnqmd3EPqHf0D++L3SdaSNF+OX5asHWmgh2YTzA3W 0PqsAZ29cuzPWr/kXpHmmuE3T/5X6ZlK/IpkrUnzA9QrydqSBntr1idrV5re ED2zNKuksf8AlPUYNQ== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0M0yQnEYwOFjJmaaERJCqJSvdCfUonIDZtrW/ZBdPlIK90GKm9Da1NZz Zlo88/u/7ztnc7LXzUpjIQiCKqeE70WixIhT5C68Ow40ohdc8m0+09fwOy1R 5sdc0Ddd0nOKvJv/mDGlz4QxJ+4veqQ9PdaR5rWrh/qsOf3SrHY0rU+a0aEe 6KPu6YPu66f+cs8Hba7sa7S8dzVFkh22ubXf0E3iJFjnxn5V11hmhRhb1Of/ 8R+yxCBw "]], Line[CompressedData[" 1:eJwt0TVOBVAQQNEPFNgqWADu7toAnwQrWQC0rAZdAu7utLg7CQ4hweEUFDdn ZvK6F9PSFmwNCQQC7frSqzYV79jPOA4wgbtM5jCTOMIU7jGDY0znODN5yHxO Mo9TLOARizjNQs6wmKcs5TxLuMAynrOSq6zgGqNZpXXzk57VrQcF3EP0YVxR uXmZZ2owd7FXi2q0L3FO9zpWs9sJrzWrensn71RnzlGusjThls19NvGAUYxU mlLV4dajK43qXaHuYbo1P+pGv9rRj771oiG9aVtB72sVoUF7IrdYw2qFq88e yw1e6kKf/3/7B9g1R6I= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{348, 347, 351, 786, 777, 778, 776, 780, 779, 680, 782, 783, 781, 785, 784, 681, 788, 789, 787, 791, 790, 682, 755, 828, 725, 775, 691, 773, 690, 774, 679, 350, 349, 348}], Line[CompressedData[" 1:eJwl0tlWjlEAx+H3q25ASGQqY5TKlLKQKVKoUDKcuAAuwA24AVfQoVAtY6RC MiXFMpcyZAjJMqbi2auD33r++z34Dr69Uw8dKT8ci6KoQdVxURQOzZwbH0Vz FKcm5zS+Yil3KqYrzqns4w5uV6RG59nsZQmL9c++rFn2S25jkcbsS5pp93Ar t2jUbtAMu5uF3KwR+6Km2y+4iRv1176gFPs5N3C9hu3zmmY/YwHX6Y99TlPt p1zLNfptn1Wy/YiD+qInOqN9vlfpsf1dJ7TbuYVfVasazfNtvuKVoDe+7edr LuRVLuAipatMP3w7qT32NQ6pXwec3/KnruuG9vrWyjqdUoXzO7ZpsX2TGdyl cv1yPq1K+xa/6YMOOr/nEt5mJu8wix+Zw7vMZjuXcoDLeY/L2MEV/MRc3udK dnIVPzOfXczjA67mw/C7StRETdJkJWlKuINwP+Huwr2GOw/vIbyV8I7CGwvv TxMUC/+Xt9unTrWoXtU6rmM6Ght/4/8BnHxhWg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0UVSA1EYhdE/dIK7e4rtwIAiuBTSCTqAIdtgR0xYAOwBd3c7FINTX787 etVvIN0qbGYiImUhiZhnj8FsxAFF9imx83fORQzpLsMcccwhp5wwwjkXnHHF JQVuuOWae+4Y5ZEnHnjhmTHeeOeVTz4Y55sfvsi4UzDhO9EsZZSTY9JeqVVU UEM1U/Y6raeWRhqYtjdrC0200cqMvUM7aaebLmbtvdpHD3n6mbNv+5cbrLPG KissU6JIyhKLyf8b/AKWai/D "]], Line[CompressedData[" 1:eJwl02dzjUEYgOE15H+I3ltE772X6IkknNFLovfeCTIEQRAEQYjeyxC9z+ii 80dcOz5ccz+773lnzpzdk5zITcupEkKoJKtaCHlVQ8ingEKKKKaEUsooJ9Vn z+tdvUN2UgjjyCLBeC7Yz2dSXOttTjPFuiy+z3Ymxnf1FieZbH1Kz7GNCdbZ epOx5kyGstV6sObpEC3VQbpFB+hmHagntL9u0r66Ufvpce2jG7SXrtfeekx7 6jrtrmu1h5ZoN12jXXS1dtWj2l6XaVtdqu20WO/zhMecpZxDtPF8ib5itHkM h80ddLm+Jt2cwRFzR12hb+hk7sxK8ypucJ1h9oq0hc7TZjpXm+s+baSztIHm akMt1Do6Q2tqbWqRxhV7V9nNU56RyeX4e5PgDAU8iufIQ3ZwiYvxPPjDX37y m1/xXKjkK5/4wud4brznA2/j3eFdvBN8ZCff4x3iG1P5wS6SfedpWl2naw3d o/V0ptbVHK2ve7WJztbGOkeb6n69xnwqeMA9FtPa81a8NC8i1XxQR+lIXpgX 0tJ8QEfocJ6bF5CS9P8/9g+BPHJ4 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VQlGEAx+EXFbC7G1vvdjcgFhbGQTEBBduDZ8UurJsHDwZ6cnTsVuzu wsLubn12PDzz+8+7Ozu7+31fXGpWcmZUCKGA9OgQ0sgnPiaEPEZxnFROMIeU 2BDm6kY20IsznOU05zlHEhe5xAWucJnebGIz89jOWHYwn/WMpC+5jGAXO1nA VrbQ3PcoTwXKMc5ZRV2olXW8VtIJWkUXaTVN06qartV1sbbQmtSiBhnOdtPS bsUSu7ZO1D20ttuw1K6jk3Qvbe12LLPraqbuo73dgeV2nGbpfjranVhh19PJ eoDOdhdy7Po6RQ/S1e7GSruBTtVDdLd7sMpuqNP0MD3teFbbjXS6HiHBTmSN 3Vhn6NHItbSTWGs30Zl6jKZ2M2bZN9wfuawjh2xmk8dwr5fxvrKUpDSlGOa8 uJYglmIUZajzaI2hEEUoTIrzoFH8tv/yhyH85Bff+MF3BvOFr3zkM58YxHs+ 8IZ3vGUgr3jNc17yggE85RmPeUIByTzkEfk84D79ucs9bnGH2/SL/E/c5CrX uUYftpEY+Uy/LVvHcJLRnIpcGzKi/z+P/wDGSHqF "]], Line[{1502, 1458, 1462, 1463, 1464, 1465, 1598, 1668, 1844, 1667, 1842, 1666, 1843, 1698, 1841, 1665, 1839, 1664, 1840, 1697, 1838, 1662, 1836, 1661, 1837, 1696, 1716, 1659, 1835, 1658, 1719, 1693, 1710, 1657, 1690, 1656, 1877, 1876, 1629, 1875, 1689, 1700, 1692, 1881, 1691, 1711, 1630, 1878, 1660, 1701, 1695, 1882, 1694, 1712, 1631, 1879, 1663, 1702, 1872, 1873, 1869, 1871, 1870, 1713, 1714, 1545, 1502}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlnk8Vdv/xin3ikpJSUVIkgahklAPiUxFRSohZbokrqGo7i0UIWkyj0ml lBAhVzmGFJXMztnH2ccxH5zBkGT6nd93/bNf7/281nqt9ezPej5b8Zz3MZcF QkJCysJCQv//PGNk1l3pNoyQNsamMzE/4ffNwm+X+zD+GxKl77j7E/T9tjf+ KRLobIXIyNoJ5Povr/4oPIK/Bi+YtS+dwN1dS/0nLEagpzzhkeY4jvxFcZYy 8SOoy72lmVY2hpMVA6bBHSPoTAyUf6I+hv88P79fuIYDdz2qvMWrUaQpbjdM OslBjb1lqpDaKJ5cHgTiObgi88+tvUV8xEYF1g+3cEBMN/T8a8DHmOOjjymS XOwl1FtdmniQblDebqrHxZh8tHz1LR68T97uv+jKRbSy1eXtujxkXr8ftPge F9J1X1zFern4+KzBQbaUi4HgjDR7Wy58foqJpHdx0b7u6QXlbxw0rw9iRQ9w 4Z041Pi4iIPF9hu9ArlcnGUF9GmlcXBdJjzD4ScXQRecfHrCOJC3kQvSn+XC Opei9dKbg0cZQx48ARfle7JPenHA+SPyaMacgK8GE6KeHASkTG6zmuei5N24 WLE7B0PSrNXZApbsC82768aB0P8GD67/GxzEXs78uVXAn4pzpfe7cCCszRiy FXAO81DbKmcOWsRuN78RcJfTav8aJw4OGMYViQrzULp+rWWAIwcPvBc9cBTw mmYDN2V7wfxtsVNfRXj4o6fNW8qYA5etu9S0F/HQfpIqt2YHByyKrNrjxTz8 qTykoyXDwbHvIZOiy3j4Paxw30OYg/bE1dP1Sjx0HN/dwL40AqsQlyU62jxM mN/3f8YdxgYf4UArCx7YavHWvp7DKD7rE7L0LA+PW1qsNrGHsH7cyN3bj4eM kCWbUz2HILLcInrZPR50kiePbMlnI3g9+31LDg+RCl5xFjODeH9025WSTzwY 5mvnPrYYRILj3Z2FTB4inDPPNT4ewBKjq5qUKR4Keot87kz3o1YtN7tDko+/ 795IiTrVj0y7/a7xGnyUaN3YkXO9Dw2VmTMOlnxU+/q5DL3qBXXq4jtZTz52 VjptrGf2YJr2+Wv5TT6yNlbFEGt78EvjQOiOFD5oHylN5ae7IXLzkbFjPh/v 0hO1FDNY0Hyl9F2nmg/5yFVXKOwuODX+tpYh+Lh6oxviXCZ45u3ajcN8nHhM nDb5TUJRd+as1hQfFaIvj9qoMlB3pdxCTmgUP9IfxOV40HEzPUbbSXgUUS7V suxyGqT85s16ZvgQcffuatlARerVvRX3Rvn4rnWn3zyxHSZz74OE6Xxsj5yP V85tRfTNtBT9MoGuN95t3tWMf6Qf5V68x8dIY+6Has0mCDfvW/LDjo+JwrLM 0MwfOPhvlOs3OT58knLnXpz9DotfOddH23hgyfstTyuuBz1FYc1QOA9W8T8U 75t8warz21R8N/Gw50mG+p8/PsG1eReNEsTF6QK378ykalA3BgSIJ3KwT8z0 tvzTSvzRceC2x+sRPCpocNFnVyCE0SAWXjqMkd2Nh3rqPsDETiFp4OMQAr2q hKOU/sMb/3+UhyrZ2NMU/LugpVTw/lpoQfUg+r0XlM61FCM3j+hSqh3AeedE lZfr3uHMasNT3fX9OBurlP8qoxD+mvEN1i19UFkSM1135i1afgfvT+/qhbrb 29hk0wIcFYkOzx/vgcmXArkQp3zU7OBuMJHogdjK+JVZ6XnoXJQhP6bWjV9m pqKF82+Q9KZlhawtC2mvg0f2zebiab9i+xXvLkxH1ZQ3yOVCVa4sr+o+E4G0 s4e8rr1GhUpTlsI1EjE7E+5+kHqNjL8WpP430IkE69ixVPIVxmqH+lT/osMm WK2UT3+FU5oul1fO0lDcY5QeJfYaWR4fm5ZmUWEeNL5Rwvk1JPP2yamPteNM N6Nq0cZcHC7LUFA714a91ibOwbvf4NrbzNgYbgtaq73qbQ/nobbwlEtDYjPW uu6Trdmaj/M9p1a6OjbheNDzrhbtAmSGxB1p3N+IuA9dPTKBb9FvnamTqPUD Ezn1VYyRQqy9JaORHfkdWRct0pXT38H1Ji9hs/VXyJ5iW53cW4plf26h85zq 0B393nzb0f/woWZuS3nuZ7wUf0dwJj7i1cSVgYLdtajV33a4al0l5u5QLO1G a8BabXu06kE1rP8tGEpmVmN5uvzIT9da2C9pnnk9U4XmD2pFn1PrUCzcph91 qgrElfPPq0u+YeaCwnvXwUoEnIgXH9b/gdljxCXrO4J1K7N3v/3QCOaZHhNj g0qIW8lkeFo3A5+caLqilXA4uPHWWqFW0IpyFx7opOD5vJ7fio9tuEtZaeVb SYGeQp/rVHQHjkpdeD1aRMFintdamjsN9/IynEeLKSg6na2qc4uOZQ2XDjd9 oaDiV4WScRYDVxK9NrixKBjLoY8HbGKido/KCcrCShiJS92rnmQijlNnELC9 EjWDzgG+1V1gHgjRW+9YCZPy08bCUSxsffUs0CGhEmXSx1+sNeuGbMdxKqOj EhLfLtfHC/VgXORh+RGFKqSqypuGve5B5OamGrmQKjhGv8nNDuhF37mZFU9H qpAv3Bolur0PMQbWL33OVUN+SHWNanMfyn8dZ8kI/LXa+JM+59aPwiPjzgau NSj3lXrRMtQPR/OrWxPGaxCxat3S/Y4DuLSsMbAl8hOiMtdxF1YNYMevE21F m2thtyMuXEpmEESitfTC77U4rsUO83YchIaknkPElc/wePmtUilpEIl5f61t tfmCd5Q5hZnGQaSHHfhgqFsHY8PN9pd/DyKQ57Pg0ZZ6lDFnth5axUbyvIxa pNJXsFNnfSeV2Ijq7F3HUf4GI98FHWwVNpIujtpFaHxHw9eg46c3sLF7i5G3 snED2If2fDqxko0jSS1LajR+oPnJsq/1c4Og0P27y6t/oI8brh3KGoRvsplQ p10j3D212zdXDMJxLKHkiXwTktTIUo3oQRRl5oX7DTZB5ZiihP+xQfg8SFvI L2kGx0ehLW/5INbvOVFUEN2CwxWshNDPA5BivlkJt1bEByw46HFlAOXKd9LE jdogOdHRW79pAE/1MsQvbWrHp3Qr97lv/bCxuf/yq3gHsoeKLpr79GORlP7c AX4HDKZlr40v7YcGGXhnooOKdTtWh2o978PAwJ0VAxU05Mqo/LbQ60PTlLvC H9kErjbsjvL/1ovmnTOrdIrpcJSg2dgY9aLmZVFEAKUTSn+W5l4v6cEzFvW7 WzUDnpePmwaq9GBMPFghuZzEEQ+f1LYH3ViZY3dwvw0Tbg7FKYemWXh9chNr ZzUTFWO3E2OcWODcMdlit6ULxr2Xd0V96oJGG/NuSXIXrgXslnMU6YKz1u3V o7+7kLzm9oIyQyaado0YzxqxgPBCSvFSElt5a6zlvFnIGR75aSnMwIV9Tnk7 77BA9R+POTpLR+dfn41EU1kwfNs5lriQjs1y6f2xj1ngHf4ZPLWKgKjud9vV SSxEbPDwVdWiodDyyOBsGAvd8nytShcqfiqy3o67s3BNg75s57MOsBgeMem6 LAxoZEcM9rbDLtywef9CFs5lGavH7GuHbui3kFBKFyweqtXo5rYhbcP6u0aB Xbhyas2DPO02vGyPSf1btQvK229RTne2wsGvR2+yjYnO84vv2aa0QnpkPrEk hInU+qBNQQGt8Hv+ueyaGhM257bNmLm3Io98deFLMYlPCOet9G9FYkTw4s8y JBo/nsilx7fCXlr4v4mTDNR8felp2y/Qv94SGsrpxKM7hyUsTrVBfPZOYrNG J3Ycm+4c/9KGuE8VAT2f6IjZduJZsHk7+go1ffs86aDYCycfINoRvutlgYki HXd7BPZf6sCRzNziLf0EduTGfzq5hooe/zBN13ICM2W2p9QoVNy1uRqd8ISA YrL0GUcPGuzXyZZuTSSwykgoOVqSwHvTpzsdUgmUdhpkX31L4PfN9q1mbwhs oO4V2XSYDqZwtaR7CwFTew3VrWN0vGioXK4uRoeUw6+fl8I64Ub5WJdnTsf0 VGaBhggDz6yPGnYm0nFixGDteQ8G9qQMOzzi0/E+Jesht5iBihJEPbfqBOkT 2RkxzIDhF91FXYWdiMhSeZiyiETAFHO7uCwDS5cm6O0Q1BPFcXxkLoGBxXLX REsnGPh73vyzlRQJiyX+YZ0UBs5Np4hcDieR6b1WMSmAgdn1ZxTURkkcy5GN NV/FgFDK5JtDm5k46PzvtuCnnaCaFdqstGJCv8/5U/uWTgTol9yI8GaidM+i EtoLOtZGmZUvCGPiVIqp2OAmOkidGHuNh0yUiy5plntGoNiGCJSPZ2Jv7UpL 3a0E2LMSYWoPmMicZwQnlNJw/f01P5/bTAhFBvmrCvrH3P0xhyVXmEg6KbHm hjwNG+6FOT1wE+xH/b3MIyYVoU+ObXp6lIkZww/5Sq+oOCz5K2hcm4mALqHa ghAqBlwL8vasZ0LVbV1TpDMVHzpGN2xewESX9FR22VEq+OXRjQpVJGxL2y8O m1KRnXyx6lQIifaOtuZ5Syo0o1lhDYYkqkoGNKTOU7FsS8GAohiJad1DTZPB VCyV6PnwtpkB/qtpHb0cKu4lZ1U8FfS1Fhvanj2dVFjtO2Laco0B2kPV+yul afiY95vMPsOAf/SDd4etaRC/32NffZABMRGxVTdiaVC+/Pdq7GZgQdc176ft NPiu0pj7uZ2BLrUlqnUyBFTWf8iKVWMg21n0pqwtAScD+9o4LUFdEMFbft8j 8PfpbbKWRgwcE5axna4mIBP88pmz4P44OEdu1+ASCMvbvGnAm4GrTIXJhBV0 WDQdc1kRxUDsDvGXRWp0DOePv1rxgoHGffp/HDCkg84yPy/1hYEX2zYEqVnR cd16bcR+NgMa2xemptrQYZVwQaJyscCfOKtQ8jgdj3N8jklvI5GuHGD3RlDX YdqXQi3MSYh4TV96to+Oq+seG1LcSdRMqSZ6baFj4w4PY1YoiaLw0xsogv3Y qhvT1VNI7Ay86+U5SaDrxC+Jg/kkBsM1HEElcH3/xP66ShJGZjd1pEoJxLUZ 7CdaSbzp3S2tHU4ARYeW6jBJVC7V6HC1IXBA8/K/oiwS62e5c2KbCLRFeJ5r Jkg4HnS/rztNQ79o87vo7yS2SX9TfttGQ8Ih0VnfMhIO7+BXKqjHuoJb+yae CNar6P9X8SkNIuQxef49Es9e169OSxbkQWHaVrF/SBSPyepT4mjQ5Cx70y44 32entnR3AU9arjnOtSaReFJMxyaJBq0Zabt2AxJxFlUeapk0nD1jFLtInYRb 09FLt17T8E9mNoctT0KmWzmcWkaD6+I8z0RJEhOD6pLDX2k4USpc/vQPEt1m Rcu7SRo8WN/8MMPAye/IXzNOg6ykCnFDcM/VhfKNhxYRCPLo+ujNZ8CSv0Sy RI6A1tk7RXNcwfd3N348qEEgihZULSHQ36nIlv88SKDCK1SkXTB/yfnW7Up2 hCBf2JO/ZxmoWmuiU+clyMFQ2jxVkDMm3Lpdx64ROBIgeqtiFYnIF+tsHMMI RPyts4+vJPhft1++rDmKwHRavGqupiDfk1g+n+8QkN+q/ltfcP71ms7z0REE RvDXwwWWJJ67juekhhC46DPi52RHIqphOuhhIIGyWz9q+1xIuNuFXVS6QODZ N8ORhT4kTsxmlWicJnD0q+0r3UskRHtvZ6kdIrDYwDTzcqAg3+wXPHywi0Dh o/I1HIHOFsX8CyUC6iataqt9SfD2pp0LEfTLWfYidqoHiaky9c2d4gTokpl5 R5xIvG+lGaiKCPLprAspYivw/4x+a4gwgQvpwykyViTK0nay+wR8InfvxZOm JBZln3LvXEjg4/SjhKkDJFoWJN/XEyWw4s/F+Vv2kSB77JIaFxM4I+Gjzdcm cWBSafzIcoG/MdR6aJF4fcMsmiZFoOBsIUHbSYITr3kxbTWB/wNH2V0R "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlXk41dv3x8lYUlcZknRDRchUSNG7EIpuElJUMkXKUIkmDWTKlIqimWQm 0SAyZbrm2Rk/x5Ex55D5cON3ft/9z+d5Peuz97PXel5rbTknbyvXZTw8PDq8 PDz//82KVxV3WD2Dqs8GSg4xMwhef4waLTMDI28rIv3EDELWGIpWWcwgP/28 bFDINDYL3L//960ZfN1v+rHr+xReJL1cq/t+BoRgy+EEySkwJAUR3zKDikoZ fPSbBJHJu0yXM4OGtGeZoZQJnHqVIrFWbhZtKxfEgk0ncKZAYkLBbBYXhU73 Kn79jbpvlU1OXrMwlxI9y6PxGxGMJD122Cy05V/xDLaOo6gn9NqK5Fm8v1nI I351HFcc2lkFxbOwSnVqc98wjh+veAdGOmcRtO2hRVz4GES+bH6bzp7Foy2G Ptp0NkoaHrS/mpjFhiipPa0VbJRHjTfFzcxiNL0+6f57NuRW6D28Nz8Lk1Ab R6tINvr/mEt5L3LjN64f1/Vlg7bN61Q7l8tE5ivuebGRao4k3aVZSOf0ejZ5 sqEV/70licvk+c1W6z3YEMzyGG7k8uqlJOuyc2zw/G/Nwe1/i41WWbKkFpdT lgwCVrqy4T7wUsWFy02n3J7lO7Oxzf2PZS2Xc/Ks5xcd2TBzEfBS5Z3Ddb6A p+an2dgu+uleLJdr/lRefmrPBrtLNcRfYA5hEUobU/dx8z21yth++RyE+l74 129hI+yWztc9onNYRl91VFiEjWtSN5jrxOag+vjHDYdxFtrdksfllefQoBvo e9eIBWLXb0ai4Rw8H9DrTyaOIqV3bu2tk3MQ7F5+69vUL9irX+6p8p1D8qug lmtWv9B+7ZKnb9gcTra+0/P+OIKGv9xW302fg93Jk8bM2mHYf8zxX1s3B91A 9d7Rn0NwdyVI6wfn8MxHaaeq0BDEvR4phPNxEPpiK2GmPgjrqCN8lhs54F8a bJx2GMBBW8UJR10OqO0KRmMx/Vgy6LGZsuUgct3QwvbAn+j8LDcsfJmD5KqN 6nf9+vBviS1vwAMOPrqIpQX6MWE4P6ks85oDsS2Hiltv9UJr146ohjwOEtOi K3dFM0C5/tL+XAkHFiv/ChM4TMBvLtOmtoqD6pcuEeujaDjWRNVQ+ZeDX+WO mtu1KZApTUj8zo2/71afmZzvQUF1uA6+cJDx8OmBS/QuyC2lLVx/w0FC9b6I FqIDhi8aqq3vcqC6mk/ddKkNmcVNqTXHORDVJrasMGhFcUp6wvBmDv7eY3LC U6sZ/UGM06yhOZjkvY25rtiAJGaJoULKHLy17gsV29VBLSfBY852Dk82xQ1t q6rG/vKVjVNcH3qJ0v3anj+Qn72z/fO7WazbukyjxqwCJhoe1ZOGs7jxdccX c/syJM3vC3Ynz2CTVJlnOErwNtiimXZhhpuX6J8fW4rwbpInX3ZhGt9uOM3s dfqM27kjq1b7TGNcVaRW6l4BjG//jLvYOwUeVkFzDn8+pEx8as5YTqH/0buL TcW5yGl0Tx8vmcS3WLUb6cJZMNY53bVSZRJfhA7EUnrScMwlp/bu0wksFFxV spBJBWXd1TeLghOYPSkmzCpNhv3OtSsk/X/DuZP6NvvLGzCqwrpU08chvvjr 0bOgl/DdMfcwpnwMJ/jOt+4KT0TIczv3D3fZKKsX+m9vdwJUd0SunTrEgoCx 3Qevh0+w2B7sWyo7iuncztYn7x7Bofx5ptX8CLxZYokt/HHItPYxa2AMY3c5 w2vybSy8b+mu0mwdgo556Lm1o9F43OKf4Fs/iNWBOy1JvyLh4B/V49U8gNBV G9+SdR/gI+1C44a7/Xj0J+juGeNwMNanSRYY/0ShfPL1b59DYVhX9yFGug/8 A3JNAndCkMe/et2fxV5s3GMhHx5zH0xp5VDDKQYcBZ7TainBWHygt8n0N4Hd 8n5/1zgEY0+7YlGtJB2MYJ1H11cGwzXPfcXT41TU/Wl8eW4gCBqGbqRmEzKy 15jFNbOCkNygIfPVoQcRP2w/3VQPxt7AOe/C+C74yG+1c0gPhljyJsNDEx3o sbydp2R/H4dKr+TKXWyHhkV4s4ZJCI5ULgtYIdCGaJqw+K6Lodw+GTSc/dyC 7Bqx8XMdYVBLkh6eF2pGw6EnepZ3I7Cjv/5wi14DPMV3MqPEo7Byem1Tcl4d mu5tHr4oE4vY558f7nWrQVnyd7+ApYfI2/f+27x1FRrWOLkfMX4M14P+Bl/8 K1HFMguomo/H+WiX9W115UioP1bBp5uI0xVLWuKmZXAzk97CL/YSVjsjLZy7 SyC5e/VchNUbnL1eZdr/vQjr4t/1KrNScM9b3f2o2Bc8yRPMrfRIh90jpW7Z ykIc/CyStXkhB3UORK3Wvx+xqiB76Sg7H+G+ex0PnM2H6LoZvvyzn+DwzKP2 kdIHrDAa1VbwK8KHjpuzazfk4d3v389P7i1FqofvEHxy8P1KqZutRwUk3KxX tUxkofn4xYqit1VYkpRSTRzOBKf9yo33WbW4EOMh/mplJsztHu+gijTAaLeH DtUuA5siup34ypuxbbjg/J36dATHzaZJ9reiyGlUfOhsOozL901oinVA9Fq2 T6J0Ogpl16gWOHZBZkhv0nQ8DfuMhV51NfYg/tlej7q+NHAOuvEfPkpB8Vzp 6glWGh5mG3SYX6HB+WVeW+rydOTqbk+5mUSAJae/b0g7HTVHjDXfMRjoOCJH q/NNh7TXe/ba8V6MbbUa8i1ORwzNfrULhwmlJAshaYkMRHbffa003wfFIumW 5TcyEKfVJ2o0/hO0H8G7XrMyUNjss/Sb1I+GBd8RswuZUH+8IY1UOABG7Nag OzOZ8JiWSRcIGsQdEbOKtgdZuL3p6cH+fUNQlmVkk1SyceYQSdVobAg2f5/P 0+/Kxp2yVX160cPYfNO5MDciB6k7wvO2bhzBz6JjPtLhuWDKhm3uqB6BnlOi ylaLPASL1Os3Hf+F2FB/rxlKHrqmPejr2rmcuFyOdvkDplabnevZPYriVu/O qrX5MNnJ46j1cBQFUkrfUr/lwz/jgaZuzyh2lf7xuO35EamHDFPbxVi4XSvc cFyhAM7zvSm1YEGsnqnRI1gIvaW87u0eLFz5KFRWNF2IqpSQO6UhLJwadh9T G/8Eb37NeNdEFhrdUv0vznxGtKnn9i/vWFicVpz4JPwVg6rLGMIZLHSmGryw UixC8nsN3wtpLHD0LyPK6hu0Q19MV75h4UzrhPyXiGLYy07LVcWzEG7Jr6DU UoIsp4EE3jAWbKMPVu9UKEWvi70qy497X6vDeTKGZVgQbNLpc+Ty0bk6bfly SDPHHEu473vEkfBATdEKXBhzDuZVYGFtcueH03yVGDnPLphcHIV329TSCoEf aIjbaVbRPYr7Ktsu31lTBXdey8yI7FHkuSbI8atWY3ReWfHUnVEY/KBkdxyt gVD67VZYjqLo73GOemgtnGebo3M2jOKMXeDC9bo6LFr9QxUf+IU6Sc6Z7nX1 6CjY1uSa9Qv3lPfY2fk1gP1WfiTW+xe+5odq8hCN0Ch7rhqk/gsCV88Xl9g0 Y7fq/IDi6Ai0VF6XFVxogaOcW5DHuxGEhnzSD/VvBe8JrXFdwxEczqtMEIlq A4+d2suvPcNIOHZA9nlWOxzVut3L3Ych+81Z6ERnB3IjTkptmxgC72C3mpxg FyQKbWw7rgxh9K9MWoRBN87c3c35OD4IzcsWh9SDe7CZR5tP5ewgrgV9NPu3 kQTCZeRw4L8DyJZq3p4vRcEug5tLTNUBaC0c6r+lRIW+yQ/buJR+LB/IHnXR pmGx/EXGlFQ/VBtI6Qb6dPDHORi7hv7Eo6DKFYW7CYhG+uvZTvZBN6yrU1mK AQu195JWDn2wUFn6aRbBgE+8w8Y/FUxEObhLuU8z0Ee/MyKhxIS2X7343uO9 kB/TNvCL7IUSb/XuyJxexMlqtq78zYCmhKWl8nwvuoqFF3/aMvDX5T3r1+gx oS+3T0krkICV8UEjz/NMbP6vrT3Fhg4r1zJ6fBQT3zPWuQbr0KAbOpuh95YJ ftrD/J0KVEz55rlppTHxQbcwSc6aAvY58yDtd0zsDpXQGY8m45sN+1bgMybc BW7eS+sgYdOfOjX3+0xYGKRo7d1KwocYnbOeHkzsrROQjeLWtd7yqfsGEyZS aitcbce7wWOTezlQnHteV0zxeptuKCsLnuKn9CKg5cj+mcYuVCZNmy8l9uKU T4dnkH0XwtJ8oltteiE3/SVmy2In2jUb+/tW9mJzOGmdyKdOPKfSbieVM3Az 5MRpjaBO5H4r4D/qx0Bul+QtJ9dOVIlU0fk2MfD2uNLNcIdOrHzdkOjwjADv y1+nORc6oUjrjw/j0OG6yLf07kknzswGnFzhTEdMVyNtb2cneo8r6kx10yAQ T7bZrtyFbOHD11gnaAh67BMfF9cFnYasdbojVFhdu/baZGU3MC2bmB9Ohfyl R5Gkx90Ydkj7eV2FiqhXgqWlJj3YvXyHfXsfBZQf/GNMfhKqT5Rfjc2ngFFm M7hUR8L+PRtdJBIoGAhQr86OJeNLi7DKuVgK/iT7rHx0jALTGGaxwQsKim5e +fpClAqV1MWGNcUUXOf3ddlVREVH0Vt/tV8UqGnc/XzVhgZ1L2/WB66vUo90 lLSpNJQ6hJ9/fYkKes3+sW0WdJgLbOkZqKZCcAXJfzCZjsHNYTedFGjY4tVm 1cakI1c5X37wPg1DTNNu0eUEHiRzZA6McvP3Cp11kiJQtePiii57OohlTx98 FiUgeDDn6Id/6RirUeYxGaWjwMj9prkOAYvz5Pm0Qjrm28I89jwnIJG9Tb32 Ah01g1u+m8wTyLqsVl4sTof8E/fruooMdAX9w1uUR0Pgid36t80ZuPHCrpJj RINpxaXgQx4M/I7cFZrZSsUZdoJpcCAD62OqJlzcqMCSMikxioHm7tuvrRYo cAysDQmIZyBI3Op+Yhy3j2WSfqs9Y0CirN11lxoFsTfebp15wsDoRY2Q2WYy do7I2ilz9zsvdu66eI2MZdq2Zma3GdhA7z07pULGKw9FLYonA3YBLbZ3+kl4 pR+kbmTNQKblOT3zTBJ6JBemTusxMBaXHc4XSMKVFQILUhsYKOrMuCV0moTz VRYxBdx85TlRCm7mJChxXIOliwmstt9e3XuABFrRliZxbt9KNMmET1qQQN8Z sWrAgICz7+P+tLNcX+SabcZ4CSiaPVDOuUfCTX3Dv9/X09FC0dH3ziHh8CJf 5u7ndIi2ZWps6CMhSCuP+eAKHc/Ky//9vJGMhokiQS3uHLCca01SPENG0FGx Fzf30pHc3G994C0ZyfRPZWc06dAM2283RJAhUrWpwFqFDjOG3pLfBgo854pT 16jSUVSrYBJoS8GgLM6q76AjSuT6m4JICv4hTY0o7KNjD8UjfraEgtCfAwZH rbjzcPyve7bDFNw4ODjP70FHeaWQj8QqKlxunDQ5G8P933RqW7U2FUL/VBgK fKPjalbW2iv/UBFNUWt4NUyHXEDsPVU7KiKuhVkPrSPQoZBMKThGxSraxoRC EwKkyf3xFw25XkvZ3lnjS2BQaquk5lYq0p2i0yzjCXx9gFkNXioaf9mkSRUS SPyZ2NDeScF0msk1nwYCUUu8JY9TKcgY+aPSQCEwKRgx3e9HgXZ/uadAH4Gj UlbxkiYUzLr/TnJgEvhx1DlMX5qCN4LbyrzIBFJJz0Pkf5NhO2nWqMg971wz OWw31yfjWvrZD18IiHTVvH9cQMamggKVM28IHBjZEEB+Q0adtEVeSRSBlkIP HuFnZOgN8IweuUagYsfw/qXHZKzfISbyyYXAp5B81fgnZLCe/2cUakng6aWA 2eBEMnJeZU8f5vphvU/vqkcyGRuv6oUGqxCI3HtDsD6XDDfhA3/iZAhMXc5h bywlg13ubt3I7dPGFAGJxhau33fUH15aRqA0Q3to508yztc43s7izsPVWYs2 +XNkPPVxfD/xmw43L0mFSAkKerqfnds7xvXnk6VQliYFLw4fcjTjxnk8g1+l mlNwVOYj7eEsHanWGzoOOVEQ9114wZvrq2r7ptrsKxRYNQY2SK0ikDM01aV5 j1vfrLrRjA0EYvKLrodFUDBML2MZqRJIb9/yPjeKAjfV74rL9Ln1dHot/usB BSX6P66JmxMoWyq7UnSfgj385g8r7Ai8CNl6svEG16+Xngr7nAk8d+1uDPGh wOuf7W8ongR0m78bPXGmINjvSqPDJQJsk5OklzYU4FCAzburBKbvZ1NNTSk4 a8+4FRJAwPNimciePRT4h13Y18blHk7YgXx1Cv4PNs3Plw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFV3c8Fd7/poTSIqVlJikjigrlKXysEEVJJTQklC2ihaTsEbK3KztlpFBU Rijbve5AZNxrZa/f/f71O/+c1/t1zuu8X+/zPM/7OUfY4v75W2tYWFius7Kw /G9+KHr58PqEBRyxj1e5GjQDfeOKsJ2tC9idG1kW8mEa16r6M/z4F3F/28yJ zoh/+BhRYNN/cxFit7VSGL5TOHP0P9kNWYvYGL3aePflJPxoV+S7RxcRWS+i oR0zAdVeJ1uC0hIEss45Gjwfhwbfw9vOz5eQXLtmnJNtDOFLAUL/GpYgP8l1 K2InHb4cavT2zctYdfjUSVUfwX828jF1Z5chJbI7Utx/CNfP8u2sClzG1I9V lsKAQVwdOligXruMAq9nwo1Zf3Dr0CnL/IVlLFoNnDhA64M9x3u5cyIruNr1 2HXr4V6cuznr4ogVBNUdumEVRsWQjZC1vcEKDg4lZ2zYQ4aKCKMj/dIK1Iv8 WQ8pEvHlYczAU+a6uLLgaWHvTjwvi1znp7wCou2Hk6rzbXAt8HK/IbACgt2D 7XxvWjB4IYKzd3wZQ7u0/olb/kLNN8nf7B+WUfJ34kpxVSOmSwffvHi2DIdK V9+vaxpAusvRL6a5jFP8Oy+GO9aiJavuBj/HMtrOG26K2vYd15MyUVKxhNvu MbcGadW4PzJRf95hCWObXLnUer6gU/NFoZHgEri9dVr2sFWhpikrRO77ItRq NuwSJnzGqJKY9uS5RVToLudv+VkGt0bFsf2/FzD67j+99XeKUf87UGT79QW4 GLMqBH0rgsD03RWvv/OgOLRuKLQvRM355Lx99+dBF5HkOW2Rj9eSblkxU3OQ IKUHPBDJQd4l/pu+LnOYH7K5sDJGwESkf5/T3CyO2x8xiBXKwCTbQ5P1F2Zx Nii8dGomBeL9pp6fcmbguEb3werZJHTS9Kwt1s+AmKTk5M4XjwOl65JSb09D tmAkdK32G7xY4aZt+fYPRSOF4048kQiW/muxTfwfji9c2PafcTieKQqMrQuY gmF3uscIeygKUvYVHJyehM6brp6zm4JBo79KyjObhCYtJvhqmT/mJR7FNeVP 4PvmedXbqn4Y+8QlpcM+AdKvXrdSs+coqSo8pWA+DmnBCv8vM14oX6aUHPMa g7+EK/fjsae4tW9bQrseA/0BG1UMFZ5gfHH7c4ueUWhVrByfGPDAnh6rE2c8 RuBjolNWxuIOJZ5331glhgFhcdeZeFcsu+YGiw79ha57j6hwpjP0V8I5vJ0G IfLQjMJW7Ig+04W0Rd4B0BSPfrou6YDPVtFNPrX9kNrFuqZsyg5Bsa8KY/7r w9irwPrFkPt4bZ7yNrSHhqn4hgxvmi2amjdl+wdR0V8v2TLzwQbR/SeCOUXJ MBBo9JMgW0NUzsbG1pYImf33UktfWyOzyTXm0nQnLvuZu39qskYava4kSLkd YhJpG7SLbfBrOGG4oqUFQyGJbLZ693DFstzza/YvSCfRtubp2eFCFuJjvZvg p1dqpk+0h9EbiarCPQ3Y/tLBxJ3oiNl0lRNC22pRf5vcueWGC0Ced/U0+4bl 8Mo1Cv5uUDqhvN174SvY9VX2PHngCT87EvdEZxUEd31+IXbwKTqrZ5tb/lbg zDaVpJsHvOEmI2z1w78c9nMLq3s6fZFGmvYXDC0FW1dYzZ2b/hiuCh7wYXzA H5+HSa9Wg9F7buljedR77NQf9S5sDQWfnAtn8uUihHL8SH3dFw7Rkt95PYff Qeue1B4cjYSQdiqX9O5CMEIEPZ/WR4PvR/iL23wFaFNRE+B9H4tz0rWa98Ty sWt6u0bSfALeFtNLLo/lYsLi+JuvFknwvXvw3tq0HPiNOGZ9H0rGmbH4U6y2 2WCcKvaoCk9F1tgcxUf9LW76Sz+qv52OWd5Kv0aZLATEvXp07EYmEqiqw0ub ssByaL2NdWYmxjoyxu+PELDceGTUkpGJkOpQhQO1BPi5p22SlifAabjSQiSD gGu+jdQKDwIGDQxOVKQQQJD0NJ7yImBvb1DZ1UQCHKm+FPFXBMwk3hhaiCVA SeaBi1koAbtyxiS0Ywj4NLlQsxRBwJvo/43/n3MeqUgPRxLwq2LdB/k4AsRD 2uiKrwngTTp/8TfzXJMX37+QmOdonm+O35hJgNoXNdXHQQTce2gyq5lHAM1T 7r6IPwGc5u5mvh8IeHbXYTD9LgHZUeGPrVYJoOeLMmy1CMiinbTZq5WF/5x5 RV3FCTjEvaSSHJaFrBatQ184CFgvGSK2TM7C9Mc6aYm1mdjfKMsdei8HDrlS DtiSgb1OpU6KAvnQLmq1Oi2RDivjhbDB9ALcfK6c4nYxDYtPrTXYDN+hYTkb p4NT4RLIz28m/h5p686fnexIQcfazeNUsWKUbslafK2dgpIiuRdvR0owLZUa +KcmGWRSg93z5jJU+RlIBGsl43eo9Ae+jnJwcqnz6LQlIc69+OMqSwU6I/xs f91JAuMxx+xQRiWOPo3L+zybyPSlBTctri/M+kNVfwUlQkPqw+qK71foHTOx yZVJhKxA2vikQA04zKVXlt8lQJ61v3+0+RvsUrzUyTsScOtJNOFV/A/05X1R vOoXj+Q7xqdPvajD4/iB7Q2tcTAoNmyP9fsJooiaer5yHOK5LSuLbjTDdciK 5EmMRdj1Uz80q3+BcuZka7VfLHLND99vOdYC6Kb5v9eMRd93nVSFslbwWZrI +vHFQvDd5yku3Xa0TtVnvdwSC6t1MdPnEtrBufC6aD9nLBa3BonunWzH7Mb7 HcassWBdTLWw+a8Dx1pfJ4gsxuDaKwGnk9EdEPFsj306HYOLLHUrvvQOfAw2 9Z0ficHveng/juyEqOKPK+/7Y+Br+J4qpdoFlz/H+bIoMeA6kHDBZrwLQ+zK Yw2kGMTwBrziSeiGpkGHwTZmbGeZUjujR0ThW6c/Dj0x6NRh4WCsEvFxg4vD n78x2K37UiAtowct3+HotBqDnwaCWzefpyD0YztfqhCz3sa4lyaPqFBYOBK0 ejYWFoyLQyHnaajNnlzY+TQWdZ1JVFfRXlR+uXTNryIWxSth6/one/Fvg8mT cfY4vNWc4a0q74PkSPRkhHUczN5GdRLy+vHRpc3gLykOD4zWsJlH/UFHsPGw sUk8BI+cSwl0HkA5/1Zry7540B/OqUiqD2KNxnOVJNcEtPss13iv/4uUIcUH +lyJmPjk7SNT8RfNWsGZ7GaJTH9+4r/ZcghxdX8dGkoT4axN/63EOsz0nZpB VaaP+gSnscT/Gkb1bYu5d4NJqKW9j9/mMwLTxTNvt9sl45NUep4p2yheGLHs CF5NhqT51otHHUdhHdhctfV1Coz2NpXztIxiJqPrZsDRVMgNhOz02E+HQd2o yNrOVHw4ynOaZk2HfFM51dkrDdadmZ/iM+hwuNqbOSafDkr8SfpMFx1b+RUE noyl49nUJt8tbAyQ5bnXvpjIQH/IFn4uWQb2bLSTfcxCQNiJdFy7wEBZR9vx /L1Z0NqbP/LLhgHVoB2X7Jn9ccVD+snQIwYU5IWN9z3Kxi/hu2K9Lxkwarod IFOdg5KbHIeqQhj4JuM0z7UrD64uk7lXwhmYZTugFaWcD6/2cD/TMAaG2bb4 l/AWYHmDwdWngQzcvfJ6NWO6AI2m7yv/e86AgGzxSAutECImJr8lHjJwjguP c7vegeA9oRxhy8zfUmKR21MEueNikfXXGIiPV9XTY7zHIR+KyTodBmgatxM2 bizG1Nar01YnGMj9ebR1vUoJtlVnrdcXYeCMZb3HYd9SmJ9Y3Gq/gQEWlpt1 PKQy9HSF6nSO00HxKOvWPlMODXK63Ms2Okz2h67cL/4EuYmmLp8SOqZC7IZ2 owI/JSxma6LpIJv699nbVIJHPejHGTcmHkGWJeUWVeiKVTaqNqDD5ebhg59v fcHs93z35gN0hB/dHkxz/gqHfedqdBdH0eJMFwwIq0byfIeAcMMoeDrOHxGq qEGU8SsdqTejuLjn9dWJuW8wyDG5cuHWKA6FczSFyf3AW9vk+YTDo9hq7DPY 61mLJ3fFBdfMjiDnVelnzrY6MGpsfa58HMGn39P6gooNGP6jFRrAfAdttrJu kMr5iZLUnaluiiNwKTqTuF+6CSQpllus08NQ9TdyUCtsBtk++RVbwDCKFXSk P3b/Qtt7V/9P/MPwrXvSWL+lBTLm++h96UP4dedWsKd+K6LzFVQVxIdwL/tQ 1qOYNlwTeDbhn/QXDCXf7zvH2mEvXuZXyfMX/C1sO8S0OmEs6UFueDiIja3O 7zgyuqDdJFHznTSARc+4sPh1ROzbZeI+LD8A+X/fXRp2kuA2WP6yMvsP6s+3 m4uK98D9Ud5FOcE/sFCwK7WXJYPn7nV6UkA/klxOfzM8QkHpWVOKx1wf9mvd Yt3PS8XB2up5A7M+DAQES5m8oKLYKiv8R00v6JUCqs7/qCiUikfKwV40nb1X v+8SDcqmY2EV/jR89lPWE8yjocvba5F3nIoJaXPHE4s0CG0yOVVoSEUm28ut NxR7kc2efcPRlQJfv5cBX6x7wVt+XqZEhwzOsobu94G96A601k2V6EFtihtP b3Ivfh58L5G1g4QISwMRg8xeTJfxPPLWJOKoUjWhLbUX+5f+FKp7d6OPfjQ6 O6oXlNQo1Zm6Lsgss0/KevcivCdC25u/C/XiK4YUS2Yf9Huxvs6jE/sVDgdr qfVC3DB63/OhDmTK7K6s4OnFDc8DpFP6HXiGT3u9u2hg5EREVdW14yLPmmfU aBqWZa1D0i+343KY1v7DRjQE5G9P1Fluw4OThXrNG2loF9W5S33fhtdzsSVC X6jQPem029SrDc2vbs/ZuVDx8kQKf/itNjhyCzfdF6ZCtMeYan61DVbDUaTi WAqs37Jo6di0IaPT65jOMhktz6/anw1vA/ndsYgdlmSI7356gLelDZZJw+Ji pB7ov78lseNAO2y07iQKmfZgRrhPxj2wHcORGmnqDBIqtC+2CnF0IJJaGOke QMLjFr+qlMAO+E7u7a2TJkE/o1njFDox5SCW6D5AhDJvkZv0Uiee7GRjuVlE RLX4WU+Nyi6YWOn1j0cSkSy/W0n2eTd01GXKpYKJ6JB8uzWJiUfnVMWF7hgi Blw/fw1aQ0Ls3ZseD0qJUGLf2W6bR8JH/S3BxoNEtDfuKj13tgd/qoNZU/eR oPQwqGJTSw9SE7Yr37YhQTZurNRIjQz6Yo1ieAUJJfqcBrlxZBgWHTapEO0B 3VnIJLGPDMVFz8p9IT2IN1Z27+OioKyto53MSoZIaEKKPx8FylOuXNucyEig 8Px15KTgRv6bgMl+MtwbX65w0si4eDb5eL0BBZeuRShJpJIhYS2Yt62EgqWR CznsRmQEd698L99ABTftxp2ZmR483czHPXeUCmJyU651QA+KHfc8mD5LheGb Ls2HKj0g3f9kyzCjIs7O+cPSPxIuC4dwlzhQ8Tg9xWMkjQQdhdyXR55SoZgv Uqx0kQS977XeWv5UZBN4lTvZSZh8PO3xj/mvz3FbmU4sIeJD/3TXsSgqHK00 T1jZEHGv/Fy9YDQVn/s7rs+IEMH3JPdrCHP/Ja7Pd64XdGN0aJSzx4cKJVp6 Er9ON0JaG5dW7ajQtK375jndhT9fPEkyF6m49llJ7VReF+LdlGcbjlERP9GR 5+PO1MeX7V/UmfpfPk7sHrnUhWJCkbY4lYKC85PqDhpdOOVsLOeURsFas5TN q+pdkLZlN661psBHScj4lkEXEnCs8Y4cBftoSQUjt7pgHS1ed5+FAvcn39Zn eXVh/mCJaUszGT/mqAgidEGhpmTyWjoZWRdU4yzbu0AenhPIfcrE+cq6/f2c 3Rjf1t9SY0bGoYwhpyq1buxWeOkVr0HGyTq1ujavbmzr7lk2OUbG+LzfP/Xq btQ9DnMbkiRDL/dgmgYbESYbzgRxSpCR7rRUKqpChEcET4GODBl+IZt1DDyI yJQwGtp/kowqo6BxuwIifNfrThjoksFRonZtH4UI4+2+XZdvkLFOl9XxIBOf HoW3Wi6eZNjkaOgM7SfhLlFpseUNGVuHLC+sVSbh221yZFQZGc2Td+v19Ui4 KHPaZZBIhlbxlkIqE+/8MzWHB5h6TnSL0526RIIhLWRWbB8FnidrpOb1STi0 Q2ZcRoMCU6+qDFkVEoa1tvzebEXBjlN7EwMlSQjcrX1i0JfJcwN+LlFuEgr3 TjxlTaGAvJNLgX+CCF3n4zW1pRS0nW54UfiTiHVOjOyWego21+l8FMwkIqzT wWGVSEHi5r9DPM5EBPuMRCn0USC/jn98nSoRbxM6/jXTKCDQVo2u8RLRouBt 49XJXH8a/0R4pBt3ZsdEbX5QsKFKZZH+oxuXVf7spRdSIBc4njuQ2425o9dn I6IpqF9D3/gurhvmg7Kz6x9RsFfSef5RRDcMVXk5Bs2Z+ZskpFlfd8O39dL9 PHUKGk+9iHke343Yik7JfKYfhbwLGFXJ6ob3nh+5mUIUtKfC+UNpN7jV11Zt 5KbgIn9nulhDN5JVdvceZaPALiJaoJ7ajQ922aHGC2S8Xt682DrDzF9UkR81 RYb2XCWvyyYi2p7N5MyMkfEsl0oc3EeE9XE/vyvMOLO9MtJegakn1niL6Aky 1ARZW2x1ieB/5Otzb4aMmx++ftO7ToQf9XaSBBM/RYa5HMs9Ig4WcahlrmPe 74R9Lbc7k1+fV5RebmHy/8ZPTQMvZr7oXwkOuymI8uK6lOZHhEq1RymLGAVG V5SiNwYQIXRSvaVVlllvdrpwLDO+Wc7REXqKgoCMIQ3PV0QYUpoK+jUp+Lij ccPIcyKKcq/e97hAgUxB657DT4jo3qy1Zsc1CuqU9r6LdyUiUHtcuZ7JlzEB dm1+SyKcyMnxDQ4UPJY/utnZkIg/gsGxdUzf3ZAi2i93htnHpYT0fjyg4MTG e75N0kQc/1Q1sM2FgueHz/F6CxARlJAjrWhHQQr7mms63ETUx26SmLGkwCxq 5e8vDiKzr9ZWC5hS8H2TzRWrNUz+6WoYqV2i4Nu0aTYfKxHjWtGhJvoUDJTa 33Ngxmybvve90aLgd3Eu8cpaIhTPafoJMvH33FQvNs/Uq+MR+bv31CjofqOp Msp816gHG7Z+U6FgomS92Qw7Ef8HLXgepQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwVlnk8ldsXxknoCokyNJDSQMos5d6ezLNQSaVM4aJSKnOUVIYylAg/mjQI ESpjkUaUQodz3nPOe45ZcUlkKN3fvv+c8/l+9rvXftaz1trvq+wZ6OQ9R0BA YK2ggMB//+sjDRNapnkYDJ7r7Zr8A9Wj26U+r+fDXbvtE9U/AXGNib1FAXxc DuVkqypPoHWl8u62B3zsbbRaaRYwjji1ygnzQT6ma2RU+xu+I/LwYJ7o2i40 pJpS61W/o1W+ZKFBUBfm27RVBYSNoVig792Omi7wjK5umN/5DWJFDr3Owt1Y dIXbLGryDY2NXsl/2nUjw1Z1oKJiFOHfwg+9zOvGu331P5YsGUVLf5XP6Zlu VLz0ee+4YASj7WNKnvY9SI4PpfHvMPqXX0rdc6MH+1WlniwTHIbl10jhNKFe zG0Q3e7A+oq3i0bH0r16cd24eg715gsMBXV9t9T1wrS5L+DJ60HozGpU7VDo w1DZgpYj7QOwtbAZOHy2Dz50+qf4p/2IfiXtc6C/D4yLSXOvF/ShMsQ46JVp P9IczlsYPOxFWsfX0W3Z/Zi8JJTvXdsDV1uhu0Ez/VDyXZWefq8bSYuPXl1v P4Bcpa+Swje6UMTs31l/dQAGd7wT1t7hw8p6ldUsm5y77hmbH8mDjM6o3oEF g/h9J/KndyMXeh6MYFH1QcRmeWpdrmJD8eGu0E/ag1h8/iWnU5jCUWkfMcd1 gyiw36QT9zcTAkF9kYnig7C4G+dZ1tUBuV19P+rpAXzSmX2ceIKBlvlKI8dv DUC25LGEteJn3K9PXOG2awD1mpO7lvHasFy9rCRyuh/O8ZwDclWt8Bp8EqEY 0o+7TZeWLjnxCamauwwEu/uQOyVfFu/4EcN5TpUj6IO/8qJfuP0Bu41na3gp vVj4/DUroa8ZtY7tdEdnD+RdU6PM/JswV3M3/+2SHjxQmeIcWd+IkctmftF7 uvEqzoDXteYdLn2Vz7iY0YXc3z0N5/e8xduU6MotHXwkzlx5d6TuDdI7rvLO L+Fjo9HExIzLG5QaXMt//xcP+jYH9f5Y+gZDKyYM9zK4mO+e8Iec0hu45NxQ 67XkYHO9y0CX5xssOFP76ONnCkPFaeVze9/g+ISjz2gdC6eTYqbywt4iVlTi Xc4zJsT7bL6V6r3DvL6lYataOjHsIetnqtCI+2PH/DPGOuARrpF7VqUJmUmK R3rWdaD7wqPYjN3NYD84Hdx6jAGTtbol8aXv8fX7m0yJ95+R2FSrqKbXgoiW NTeliO/hrt8nX+Z8hDH3jjfi2vGj6wPO1XzC4ZeR3++ItePNpxFVx4lWyJff +9f5SRsGytO+DM5px0zmtf2JR9vgVMh5eZzEuZQl+qXEoA07xnc8EDdn4IHw ZLOOZBskP5vpRoV0oMattjx6tBXDEmpuZiWdyCswogXoVth5dCpdH2Yie1fc rAqzFeanzp/LVKdQqR68Z5rXivtnD5oGlLCxbpe1/r6pVmRE7Dt5QZ2L7uo5 ng6KbejwvzWcnE3j6SPfZf2Obfi0zd7ClvTvtFRWlv7lNvyoFREsVOLjLPOG uhu3DSKynKWrn/BxUHPxvAS9drinpXl5bO2C9ea0NwPp7ZhSUW8KedqFCEV2 brngZ0xfWNndt6Ib7p/meP5O+4xQ+5+Nqcnd+NUgH5WgxcDyD+ui5vV0I7i4 51J+JwOtQXczk5V7sEs+5YVIfAfGpNrqQ616cGezspO9USfKvH/RDvt7YHly R76qABO6a+461h/owYYF4sOGL5kwyG0TC9vegznZFlOKF1lImrq7ZLlWDxYY bjsjHEchKCx+7NZUN7yzPGUfxbKRSm9pkHjYjYPVLx4rRHOw96zM9fEd3bg/ 3jQre4ILNzOjpxVDXViwvde1xZdGrJavc3VwF4KvpRg5rOVBTGLbIfdJPirk Os2OXeZh1fgrmc9H+dj3s6ko5jsPz6Pmiej38rBYY9U0w5KPa9syU9Odebi9 R/j31xQ+GFEfTOcl0djk4t4f2cjHpksih8WPccFwcFFKG+ejzmULU28vB79c rVKyJbtgYJLj4GHHxrPLG077yXfhSqrRGkN7CnHWafstpbtgwlozs96dBTUR RY2pX3zcUh2OMDvPRNxBqfH7TD7mq3fs02rohEztzMJ/8vk4Uq25WkWhE9Fz 8xsKAvl48ebC73bi+6kVkfoCG/hYr8jwDZftgEzWnGC1Hh40/xXWa3rOQOC+ GrdjGTxsa/zpP+c8A8lFOtniVjxELCvz6vmbgZFzbetW/qBRenD2fYMvAxuH ZsobDtBgz9ucdO4MA3meN21sWkie501tb5czUH9tvsMGZy5cnea5Hppk4KRu hNTVfg5c+apJTTYdiOi6sooVy4HHUb+BZ8UdYLjxD/3cyEF88VOfucqdcCv8 WZnXx0ahbs3gipxO7Ji6kqhXyIZb3qi5vzIT9qevJr+NZuOYbXvnogIm/qrr SRjbx8ZJKnWK4cJCi/D96TJbNja3B66RIPdxm1XTt1EHMjc5JQOJDyhkvem9 oe/LxunBlOIcUxLHrkWh+RIb1zaU/9BuYeNRRY5U/Qs2zjeyZoQtOND6Y0fl jBAHvc9lQovzORA6sEYN2zl45m2gWTjBQWe9203cIvdZW+zUTjUuFFWv696a 4YByb3FttuDifFed4Xzix6oIfbdeey6+myhajWdz0fVp5JWuORd1cS+3mvO5 kOXUmW/VJr755i0XX02DEVHgNCzDhUSusZyrD41IXkul+RAHw80K2/fm0RBv RYJnDQen/IprDLk0+mwE//Q5x8HFIqOBdYI8iIoqrN60n4PHGSl9wtI85Czx dKnV5sDqTPjhXGUebCWLXu0U4WDUWPUGV4OHEce1c/d0siGpHWXx+E8eLJtM OSr5bGhIe99wAg8DCy4eLcllw6JjVQfHiIeyuhlz7TQ2jIVuNjmb8iDcfs+2 IJ6NGxrX3WrNeSgfSwhYRupEDY1+nCZ8HPXVElFsTC7pk9a34MFJ0mnmdyQb 1o9CVgcRFpoTtnY0go0tT/pWphBuCa2s/JuwBT980UPC//3yw9kQV/kw2EQ4 1L+Bv4dwtIJF2SDhdRcKQ1rD2Iizi9m42pKH88m62Q2hbHDzbcPdCff3mz0s DyH7Pa6nZxNOGln66E4wGzyLnDCeNQ8d1SdixA+xsSOUeixtx0ONe+XPwx5s vDZt0tHezsOWgBLBJmc2ilQSOFsdeYhtLw1VIX1mqSdyJnMPD2M92hGtS9nw pyYm/d156P4gaZH1lUJR31htiTcPB+IbGe+qKRywizYI8OOh4uzx+YUXKUyG j9XkBPBwilfsHHeAQr2yQcm6QzzccYhbHKREwam+R6eJPG9Ye0YmvpuFBtby kgcHid8icr8PF7CgdTpg6Q9XHvZcbjUuDmFBU620t8eJh5fB9QvfWrLw8aHo s8fE/7U+/mVKSixYUT4l33R46DrQqPhllAkx57UqeYo8vK76n2ZbMxPfy8/p RIjyIBIjoLeqjAlN9W8S9qS/brZd+tl7m4mv9nZL8wtpKDSGNA/lMlG/qDXR MYLGMX3Z7Z/IuqPyBs8wGxpeNpE+04+YiNiYMVkoRyPPwPePRyR+gZnhzpIB 0u8nzL6qfWOCPjH65d5zLpq3njF9upyFaaG7h4/mcDGeXlkZ7sBC+8rE+NwY LjI2RMyPvsBC9DdZ6TOBXGTqrH3wknwnyGzUWbb6IBfbMuae3DnDgmvp+8R9 7lxsXbi8xUGbgtfTR/nPvbiwOfJaQ9iXwkq3f32eHeZC+iLf93s6hVzm48O+ p7mIare4EPaawmUhz98xmVzcMRm9WzhEYU302/c3n3Kxu+m53J15bKzvh8tW JhdNYrZpswpsSAl7jzb9InO77Ix28wo2tPnLVV6toHHooq56+nI28kVnNlea 0FjtfoHCQjZ8A2RjXQ7SCPRS85z5RYFvslMr+gyZX4c/lDW7KKhLiphszaLx +XmazLEXFKrLdGy6imiYTh1rdrtOwYWq82I9I/4uDP7T9SgFuxMhCcde0/jy j1wQ04jCjReyc6Ze0jAeyvevl6XgXe6vsaOahlz49usx31hYKJEk0fWAxmhd Zu5EGwvXyqSP7r1Ko2DLtxi75ywMXjubfCuSxvx7yxbIlLPw7bOL7wNPGjX8 s3JqpSw4qgSu+rKdhqZ7pLDtExYmL7o9XLmVRroILuc+Y0Fo9p1w3wYai39V mqQ0svD++JRJkRKN2zUhjSFMFqof5mxkyNDIZG/2y/7Cwv7axOmbYjTsp1Mz DWbJevq4lt5cGp7mmrcTpSjE9GwrvCZA4/lcOSZjFQVLjYmd1f9y8XO3j76f PoUqZ1SdEKRh3jC0NM+CwpmZ23wjEeLfwvWz/7iQeTNhVN6RoHEn6qaaNqn/ OnO/aHnSjza6rEKBIApSjfnmwitJPRoVdJTCKFgtOx3yiej379jBiomk0O+W 8rN7M41/woWr7AjLBshSBWakXov/vfoulMxvdN/Cuw40Gn+2q3uQeD2nDP09 99LYUu2efs2PgqRy3qYLxL+q7wfXCbtRiNAT9lb3p3H2f/XHhR0ofMwfPJZx hIbHR+dNPttIfaO0vzcE0ohYsouxS4vC643DAV8OE7/3SDhRJP9CZtX1YD8a FXtZKW/kKSTfT/syQ+K/8+4tLSB+7UyvfKG8j8yj3yS7fT6Fr/HKn3OdaGzW Gp+yFaPQUKL4oseWRqIa038eWQ8tuFy/34JGdkK7krgEhfc/zvnoGdPAno5p LRLPTebe5tS/aEj63i2yXUTBQS6VTiZ+aNbsq1RVoLDC0CPJUp9GkPte9yuK 5PmTDe8adWjYVYQ8cFKhcDVD+OUXLRo9xZ+5G9dTmBIZPLiOsMGQaFk3yW/H IZX7wYRXbw1+u8aAgumKWwdqtWkM886dqviLwpJ92YqULrl/8iLn+BhT0JO9 ffzeJhrRIx+LxcxJ/0eqBt4zJP01kO41bElh+6nfRgu2kfreOnlivTWFZx/F RJNMaTgZJwQzrCjcNlS41GlJ44rdHA158nzCyPmcIuJHVqr1rQ1m5H5oqzJk kv4efccJ8iDzdI5h+EGf+Bcc3twuTPT8c/WYfOkOGnzBRUVHiF6VeqMlFjtJ P6/7IT2kQyGq+HK3AOHW0R9ZrzRIP8VMXpwk+y9+FUvR/+97XmbrWTtHUm+/ cYcAVQq0mZ6vOjlve6Fde/RaMv//W3hBzo7GjELXxrQ1FH48NEoYtCb1VPoc 6Ey433qP3XOin/XPWqEawtKrwjaXmdNwj/S0KyP737YKa7D/y/eI1ILVJL5i aX+pLbl/fnsrj02oUbD1UJ1SIPUNte7PmyJ6nh3quwAjGs+o2yPLiF6XRSfS 64h/7h0ONhakPvUoGs0mrBCrKnCA5OfsF+LeTDgr0EnDWo+CmOImAyuy32u/ 5r0pMo/1DIvmpST+B9FtF0OIP9PpklAj59+6Lh9/aTPplzL5MXeiz3Bjr4Hu FnK/WgVW/DdP6Tc6mwIIP+kfmf5B8okx2BCyhbCagcgTTZKvLR2RW0D2ux36 MznVikZLo+/IWRL/sefulFvEH3E0bhfaROar2V1wJ3n/fG1fsGgX0RdeUWJ8 g3Bgm4lwHtGvIKFqmEj48XjaXVnyfrg9qyCkTLjWXsayWZP4Ky0ycZzE02T3 ClHED0kNA58scp73XddX9oR1D5VsKyR6/ggKt1UlHHVKsrqOzM9IbIC8F+G4 msP7h4j+lKHH84YJ25l4hYHw0b4lp0tJfLvMarVXJN/9H8rfZRN/o07HDsYQ FtmXGJtC9CSJK9wLJdy6U5sTRvQ2Sgl53yR8+MTbv011KchAa/044aqB26f5 hN9+kDRYT+IvLxa0WU7ybdX01LYiHFrhcEmPsAlPKOZvwgHjubNWhP8PJ7A6 Ww== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.48874999999999996`, 0.42499999999999993`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.5087499999999999, 0.44499999999999995`}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.44999999999999996`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVte2t7EGiMaeWLEbo1iiCXa2wW7UEI0tYmJBoh5RFMUeOzasKBrU BAv2gmLBxouoiIiIgIKA8AKCgPQiioUv3xjvM/cd25HL8ST3jHPHzV+MZ8w1 N+u39ypzlfk2njBj6KSyRkZGEz8wMvr/f5cufNvWbFWMbvz1Fbqx3b2U3r7T H3gNDxeuUta3yHlQgPAoswXVT58/JIz/9/0ex/h95S/+MP4w/jD+5U+8iBw6 KVj8Yfxh/GH8R5qYTp3VO1z8Yfxh/GH8za98MrnbiCjxh/GH8YcDkss8tkk8 q5SZ0dyu/OTHio29R2OT0CDh9Pwf02fueCDc4nR2r/iAx8L4P9tc50xK9wTx h/GHKT98aqPP79xMkvIw5WHK63p96nVqSIqUhykPU/6zBm3bbYtMlfIwdtfn X5ycN+6Z8Jt73dqMTctUEndbLP/JPlIX57S3cruJO5VBusHfFiwMEeZ9w55r bbp37HpFGH+37WZPG8ZHiz+MP4w/zPeBvzix9pDxR1uVaf3Nk1Nz4oU93uzO HbUsUVkT9umOlqceiZ3vA2OnPP6mkfsdepgmC8/2Oprd2PWpcNza09Mr1k9X BtXa2ePykvvv2PtP9MlMP5ChNPKqGrjLw1/K875hyp/prpt2r022tE/eF+0T Rj9Med4H5bXvh/YI097QD2OnfWGHsdOeYNoP7wPGTnvifcDYaV+R19Znlrsc o2yOHrn1hLte8d0YNXuoT4DSuafjRsU3XVm0aeri0T9u0NVunLH8s+EHhRNa 7jp0wv2RUvz15BDd0xBlZXj2kLvz05Qa3z6pGD/piDLK+c0gt/VZoof3gf+g svtabG0aK8z7o/3zPcvt32IRVO2qsq/OgsrN+mUKZx1/fvd0WfV7075g/h/v BzuM/XMX9yir+Y905iePDjd3cFBcT4S1dhn/QLgwxHTJgwH3hU/qVx3oYRsk LOOdgWc2fT4w9At/4cnBwYk3Tc8K079MP/vtcvaPl6R9wbwPC6ctV1sMOScc H3P8os9Mnfi3K05/tHbYLfGHKX+j0ZPvPYNuCLuH546aHntb/DPalXu24XKo +MOUn+5cMqJTVojwvt3OrYyMwsTfP7Fq2oi7D8Qfpnwlpw1HnqyJEJ77zbaW t6tFyvvm+/N+Yd4fzPuD+X8w7bdvv5j7DeMT5PsynjAew12SrvccvD9S8WqU aF1+8hNpT7Q36st8DDO/wsyXMPMfzHxGe6K+jB8w7QlmPNH2D9oP+hgPdpV/ 7eq2PlypW5x6LzUnRd7H+ZjDnk7H42T8o/3Tv7HzfrDzPOw8j/5C/QNW6zKW DEq2pL4w3weWeCLDOrLm3VglY+fca8XtH8v4Zzxk/ZPmDaLfmW9ndR74WatT KUrYlKCOWzaq45v5I0uT9U0D35kvdxcvWPNbwywl6Hp0SD3rCF36K+MBGcGx St3Kbuk2XwUKrxgY/dh43Slhr3vfFnm98FLgoRMC23aMCRS2zcrPqbgnQtjj 2IqBs3//C1uFNzyzcfhjpY5pjNu9OgnKR08PVVj51W3l4SG/jjeaPFMWXXO+ Pq9npGWVlVFnsqauE44e/mycY+Be4YiYLSHLtl0Q7ul0/PDY1leFtw2zTQrL vCkc5DEztOfFQOFfY3UzzhiHCndd0dduyvT7wrM33bVfWPeBcFWL72w7LH0o 3N8q5h+9zaOFn6SOn/BqS4ywWWHqlMqW8cKP73Zqn/itXvjlsFcdn32aKNzv kOWpgOhEmf/HdVhgNeWIXhl1blV9W/s4aW+Un9imrPc9ryfCp5f2aXtsYrIS FVDDKuZilHKrTHJOX1/VfreiSYezXZ4K1/t+0IlNGSp30lc5vdM/TXhVx2Hm s+ekKznzL6w6/TZc4ocX52t2zU68p+x6kuF32kMtv/fix+0Xf50hnF3p+2Oj 3mZIf0oZauFa80664hu0stqqiLsSX/jNv7zecoi/Eta/TvtWOzOU1GvK9FE1 /ZS2ux/3SDPJlOd96Nrg1PiILOHRKeNa9VidrZxvV8e0ivc+iU++2Law/PwG yb7EH5SX8cnAMj4ZWMYnA8v4ZGDGJ1gbr9C+sdNfYW28EpyTtv+zWur3YXyC tfHKtHHhn5+LSxW7Nl7pfr11ycDV6vsnXrlZtnlDm2gPqV96cUuHJjXDlWj3 kP5jq6YqbnWvVY/yvK/08bS8FXBHff7IjIwD8QlHhRdUGZP0sckj5fj5MT0G XouT561z3Dh2RdN4ZYFzq+xcJU4ZV37hrYHH4pRm7l23OUyMV15ERkYeKPdQ GWDn1v1zhxTl7JeeV1aanVcaTT34YWSZLCXV6uLmiU7xMl6GuGQ3Cf7+hDJw 3rqYO2eylACbkiY1R3u9Ex8xPo560nHjmYDfdNr3T3zk8PJOUuyWh1Lfsncv 77l6NkrY1G7ameTpV5X6w3uNHD1EbW/MJx9FuW52PRIt5emf8NTbS13smlyQ +JD5MffuJte1I9X1CPVlPQETH8B8Tylv+P7w0e8urjngFyPrgegKUcM2t4lR 9qw6ZnujKFEpHtYw6Ev7aGVwucsXctap8bBNrcXbd+7Klvow3wypdCV9StIj Xftb6/vrhntY1qw0P6BeFZWd2pyuM6koQtirTUEP7zsPhNHD86p/Y77ltfd9 sUcNSZt2Mj5UeJbeamn2ptvC6frAwPWd7wgz/8G8H55/vGmXGWYm18Vu0dS7 xfJx14Sz7vR1/2zCGeHE4KGtJ3ifE2Z8kPjR8L13Vt1y/M4H3mp/9BiRbBLr J+OJxIsGe2HmxLC5h64LT6k4K2FXSZCUl/jQYP9t2JIQkzt3hU3PB2S5bQmT 8hIPGuwHbAYnDy5Sx5+4yREZP/4ehxXP2fql97poae+T9+1bGPZTlLCvT9nY PmPChM2TqzeZ1DlUuHxRcvnTI28Ix31TcUt2NT/hjY7HR6y29hEmPoFjX532 Nw72kfb/sWfnBzeP+QmjRztfDfGfnBBfN064z9O5BfOS9IrdvHk1428Ei39A FfPe1qtC33ke7R3/LV0vz/jOTR1fT/n97Dh2WpKy8uQsr43945RLPmEj9jTS K6Eu3ZYap/weJz5wf+68PEHxOf5xv0qDYpW9xs4TTColyvOJd3neqxr+WZ0b quNzHfdVeV8VJisVV2VG/Nw3SuLjrS083VKePVRifZuGfpWcrBx/+ZFxa7tI pUdYaPM1vyTL85k/ed6kzED7BofV8X6Fo8vMFj+nqvOXYX7Efi/gXkaZz9X5 NnOQa47pB8+kvMTjBnsXj4f/SLmoxlMjW7jPyN6UqQT82Od1yEf+Er/jz/xJ +f3zH6cHWWUpD0MtRhRN2q202XSoc5Xx2YrNjqA1r2c9lPZAfCvx3dk5P5it DhYm3pXva4g/Zbw2xOtwq8upl2ZuvyF24gc4rG75Ti0WhKnzmSH+hVu2mRNn 3/2hxPseA+7qGwzdLv3/wvquXebWXSq8OWbT0SOvHyntOnrb3nmcpPgU9zp8 Z2uEMvrk4utTrZ4qy007NDi15r5ysFKdtNHRqUrtD13cf7l/U7Gz3Tn/Rdwz 5XjMxPii3cGKT5OBobYT0yX+pz6MZ33C09qnf+uj433BvB+Y/gbjH9gwOLF2 683iD+MP4w9/fkE3pMWrRJlf721f/Sq2+lNh+9nfHHZt9Uz4w2GfDB9olS38 YGf2UqMTucLN1gyLjPHJF3ace6HNhRuFwv529VZuDS0SrjZiSbR97EvhcX2S 2g9IfSV86ot+q5sVvBEuaXrscUlJyTv7lcRT6IHRA6MHRg+MHhg9MHpg9MDo gdEDowdGD4we4kH0wOiB0QOjB0YPjB4YPTB6YPTA6IHRA6MHRg/9DT0wemD0 wOiB0QOjB0YPjB4YPTB6YPTA6NHuRxN/ow9GH4w+GH0w+mD0weiD0QejD0Yf jD4YfTD6tPvprB/QC6MXRi+MXhi9MHph9MLohdELoxdGL4xeGL0wemH0Ep+j F0YvjF4YvTB6YfTC6IXRC6MXRi+MXhi9MHph9MLMr2e/a/ywUZcc0Q+jH0Y/ jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPon3LtQC3XxbmiH0Y/jH4Y/TD6 YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9Fv1rbl8Ar+eaIfRj+Mfhj9MPph9MPo h9EPox9GP4x+GP0w+mH0w+iH0R/ufmzb3IoFoh9GP4x+GP0w+mH0w+iH0Q+j H0Y/jH4Y/TD6YfTD6IfRv+aDdhFpAwtFP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y /TD6YfTD6IfRD6PfcvaZGjabnot+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD 6IfRD6MfTrw15sXAbP0758esV2HWo7wPmP0m1p/sR2nPi1kv8r5l/9Ww3/TR h0mFo2NyhG/MtfsyuGGe8LwnabMtbfOF235rf9brcIFw0tWc/CaZhcJafawP 0EP8Rv2YD/FnfoAZL2HGD5j+BNO+OO8JsZtWZcyXqXJ+Wzl/qYtxaLYyx2OY +6WweDkP4vyM8yb2B9nPXHqwqWeZD5Lle8HoM1v17FsfszSxw9ivTPR+O90i U+ww9jZ7rz6ofihH7LCcL29ubJ51Jk89XzAw9uAlq5bf9i0QO4y97oy0qANB z8UOY5/6w+B2Sx++EDuM3Wfw6VVjEovFDmM37lEr1iLrtdhh7CPN53eoXvxW 7DB22gv7R/R3mPV6sfcP1bY2TZL92E4xu6d42RyX9TTMfoVDo9gOjXt6C2+c s8zerMs+HfurlIdZj7Nfih3Gzv+HqT/rR9oX9w9g9NPebDdM2ux0PFn2V3ge dvoL7VHuzxj+H+MF7wvmfXEeTP9jvGA8gekv3HdgfGE8YXyGOW/lvgL6tOfV xPfcp+D+BYw/4zfvp+Wvw62zK6VI/2Q8xx6wqMEbz2bpYmd8x247JvmITfcs sTPeYy+zZ8Qxk1a5Ymf8x27tcqlM8pf5Ymc+wO6x0GyU31eFYmd+wJ41dfnJ XYOLxM58gd3y+5Tyc0e/FDvzB3aXAQPHDJ30SuzMJ9hjO5883WbmG7Ezv2Bv 3bK6scniErHTXtgP4Htp2wfrT9of7YH5luev023Y37kwQdo3z4fZr9Tup/2z 5+v/U+fpYXm/3vNumKXMOGsSlrM4Ufb/Krve//nQ9hThYzN/af3DiXThAdbj o2rezBKevWOb/6TpucL+zi9qf7UgX7i6k82M+s6FwuMm+d0s2lIk7PVds/rh e14Kv+21ZtbJI6+Eh3TMCFx77o3wr02sG066VvLe5/Nhl2IaB7z00sHBPZdv irh5UEd74byqtPNs7Xl1aefNf/Y8WXteTP27W1T/ZP/JHOHEeO+Iqsa5wjn7 to+ola+y26BONVcMyhM+WKWO2+pO+er54cVLwwo3q/z9ot0PXi4sEDZqYen6 0wOVq6Y1rDXNr1D4/NZrYY/qPBcm/oEZz6c6DanV5L+cn9JfeP/a82btebL2 /Jj+pY2XOD+U8y5D/CT3HQzxE0z8BBM/eQZVm7N0WsI/fR6tPX/Q7uf/2fNn 4i3eF/EVTDwFEz/BxEsw8RFMPAQT/8DEOzDxDUw88y+f/xq+p8Qvhu/xkXNs r0XO54R//a7MjtBRu3T/18+H8y/OuTNmXpK0z6v77VsGr30ivGVnj3nVNz8V HrP8ywfL96YKt5tbofntQ8+EX457s6zLxQzhu8Pv3l+iyxYO/m3CJ/Mm5whb uA9Udj1Tx/+6mwLsh83OE3Zee3K7U5E6H0z9udWNtksLhCPmVc/4ttxzYR/7 jXVNXVRuNtnJqk2VF8LGY/MckneoPGtk9E7jesXCIwaNuOW3X2X/vpbZSS1e Cx/sdqnB7lMqV7XY10fX4a3w81Zms+deVtmnTUTO8c7qfPO+57Xve/4aFDCj wqD/ct6pve9B/2C9Sn9w/izvbOQkld0ywi1irXOlPOtZmT/c5hQMOKqOh4NG j3Qasj1PyrPelfmk7MuOV7JUf6OA6HN+j/KlPOthmV9mLHJs21Hl8x1+KOxg VijlWS9jt4ktOeMxV+WpvyV84TnhuawHaO/EX3yPXkceNe60MlmY+BlOWL03 JHNXmjDxM7zEbsrCA96ZwsTPcr9gX+1tJ5LV9k78LPcRtixKX5OrtnfiZ7jt Mn1P2zdqeyd+lvNkh947FBM1HiJ+lv724+HMurXU+Ij4WfrbN5V6P2+kxkvE z9LfLB3c75ur8RPx8x+dP5d2P+jPnj9r70tpz6Mb3vRcWGuW/p37afol1kVT Kqn7/8TTtAeY7w/zvWG+L8z3hPl+MN8L5vvAfA+Y9w/zvmHiTRg92vNvGD0w emD0wOiB0QOjB0YPjB4YPTB6YPTArC+4v0j8C7NegdEP4899R/xh/GH8Yfy5 H4k/jD+MP4w/9ynxh/GH8Yfx5/4l/jD+MP4w8YL2PjbMehFmvQjjz3oRfxh/ GH8Yf9aX+MP4w/jD+DOe4A/jD+MP48/6FX8Yfxh/GH/Wu/jD+MP4w/gz/uEP 4w/jD+PPegR/GH8Yfxh/1iv4w/jDlGc9Q3kYO+sb2f8y3DeW/CsDS36Vxs79 Q9lvN9hl/0xTnvuHMPcLYe4Pwtx/5f9LPpvh/8HUH6b/aPPbiI+I54l/WC8Q 3/A8xmP6r1aPdjzT2hl/YMYTmPEB1uZDUn+eD/N+Yfbvue/L/hT5I+xnkb/F /id2/j/+6MfOepz1F+8X5nna/WP2R2DJzzK8f8nPMjB2vhd2GDv/j/1r9FNf 4hOY/ViY/VWY/V2tXuYv1tfohbHL+ZShP8h+s4F5/+RzsT7neTDPY72OHcbO +h07jJ31vKyXDYyd9T12GDvrfeyw7NcY1v/YYezsB2CHsbM/gB3Gzn4Bdlj7 vhlPeN8w75t8OJh8OPwZf/CHKU8+HEw+HP6MV/jDlCcfDiYfjvapzW+T8yvD +ob9aZj9Y9qvtr9r8+Ng+g/7Lfw/uY9seD7nE7D2PIn1quQvct/YUJ79cpjz G/zZD8Vf7hMbynO+CHM+KfnNhv1Ryc/lfrGhPPvxMOcp+LN+xl+b/8d5i+Q/ GvJP8We/FX/ZfzWU5zwU1p6nMh/AzAcw8wGsnQ+0+YGMh4xv2JkvYMY3mPlD +zzJ9zEw8Rss+T0GJr6CiZdgbfzD/Eo+6EFdUPkx5/Ll/RLvkP+Z0K6sXY91 6nytnb+Jd8indNu9yvNUSK7MN9r5nfiH/MyvTUySG9fIl/9HfyOe4v+Rn9o9 5foqJ3M1/uL55LPmDu13M9UhT8YH4gP6I/nUzC/EF3xv5jOez3hAfbX1w45+ 7IxH/D/+P/nFMPWr+/Zp+bf6KKlP3zE+Px/qGvvO+o39SdoXTHuC+f8w61eY 9SvM+hVm/QqzfoVZv8KsX2HWrzDrV5j1K8z6FWb9+kf5rHK/vX6iS4Wlavxe GNHL5mmg2j58f1tavqAg79+en+qw0z8o8YdoJW/9R2V/vH5K9sf/1XzU4R/2 Wzu4sl453/V+hcM631LzU3UrHh5+tFiv3Ey0S1rSNUApMepcbsJ2vVJtdoUB /TqUnr+6N9NvSuE9vVLpk1Z+V7eFKr80nDbyVahemXBz9/46CWr5P8pvXe/0 wT++8dYrr6f0UUxXPFCS0pa13nJYryxS5lrlNSs9/3XXRJ+rq3vplZN9fRaO NVXtf5QPK+t9zk8amWx63Vwv8Xlp+bKl5cP+2fzX0vJbS8tPvbXC/0KV3Wdl PFx31NGlbUqQjH/Va1gNCl7/8J3109E+4z4pH+st8Rr7taXls+7/vHLoMiu9 8kf5rfc8GtlduqRX/ijfVeebdmRcsF75o/zXQt83DTvO1St/VT5safmv2nxX bX5rlPelwDw7f5nPmA91ExOebmuZq7yu7uz6OPm+zF/Mf8/KlgmpPSHvnfzY VnfOLAix8dG5jBg69GCZXMXJocd0W12w7nrP/HwLqzzlzNJ/fD2oQqTO+GyZ smNn5yv1J+5r26JLpHyf7bfdq26vHKXYD21eZVr3MF9t/mz1h95F5Wx//z4/ NzjsV/aRsrurctQn1EP30ZdWuiFjcpSwJmluEWNv6FIq1ZwVvz9Xsb7+nfOS Q2G6t2FLCt7E5imzXCodqzQ3Rnf+hnEXT+MCiQ/2Veu9Z66pep+1vlfRs1kV flU2e48aP9b9sayvO+d+csBrc5ziM6/f+Fubj5eaP3upZMN3nqseK0MO1HEM j92uLIw52+CKdcw7+oiHPA6Fdel7KFrWH9Hzrza7OShGcb04I+D7MQd0Ke0e R7VcF6M4/mTWvnK/vbq/Oj9Wmx9Me2Q+0uaHVxias+OTC8fl+zW2jppzsObB d/ob+dD8f563bt+HWW2mXFbL7/9kid0lX+HijfV+8XC5Jbx843br8k9uKv9q Pip6+f++Xzc/OrNGiDzPYtCxvMpX7gn7rGxw8GphuPDPK6OXzWisMvGU3Jdp 1GGN6+R4sQ/Y3PWhg5le+Jclv5oPapUovLBkUd3mfgnCrO953u0svYNRcJLY n04vu+JTiyfCnX6we1TWKkW4TlzvWzGRycK1h94uCfCNl/2AK/3W3/mxQbzS 9sWeNXEu3sryFtFJcybGK9V/Wx1yd/x5ZXCRbXxmA70SZh/RqVY3P9kvoD4/ 3T3c4ELSU3n+qsFB7eIGpwo/6N7W+eLodOELVyrN3pqdJsx+As+rcNwhyP7V M7E3Nd8au21ShrBjvecdHGZmCQ/fFdFowAcqs//A84b22d1tq0mO2MdVOHHD 01Jl4zdxM1x756rtq3tIypIqKrNfwfM8vjDaal8rT+xeBVXrLRuo8qgMq4Dp 1vnC/c079BhTT2X2N3heTlPb1P6NC8Ru9GT2TJsRKh+OOVh/oE2h8M56bq4W n6rMfgjPs6wRaNmszXOxDwmPutVpgsrPg0wdm08uEk4xLU6r1lFl9k943say 5ttLOr8Q+6/+3c1qTFe576Xpt41mv1T7S/HYnpmWKrPfwvNiczc9i+5dLPaM 0x6zs+arvO1IWMPYJa+EV6ZdcwscqDL7MzzPPCH/q/PWr8XefW/5O7dXqfxk p4XThfVvhCOimmfuH6Ey+zk8b1HoyJ1bbN6Kfd3myY09t6jcYY178NYdJcLN Atf2WjJB5ffNb9/q2GNev/V62S+alFjuVOBovfJF1fj+zc5eV+w941o9Oa9X HIeZHdj56M5758P/0Chh38jf41XKn7No0i746u/z5c75FXLjg5ULOdt22N3V Kymfbm08t274e+fPzzp1r8T1pF72mwb4hfesc+f3+DZss3e/meHK2v6nPl+6 Uq9ccp41LP/+/718+9J+L0P7exjvm5//vvn2/2n586Xly3fbd2lfpcQJOlO/ dLsNFXOU5V7eCT8FxKnnHf/h+fPl3/Qcdu7pNtlPkv2y8L3LOrXMUQ6bVD2y p9sj3axaXZal+OYrRt1OJh6apJ6HsT9VpdzUrSkB+bJ/tHj8zv1dlucrb7fp bs3Ji5L9q42Lf63YofEjJSu26ujOeed1Z+a5TLb6zks3pErAAuNTv8fD5yc9 fbUmUFd20YBLC/JzFbdcs621IyJ0CzwmXDb+LF/2Y2KHfuq8c/MeOU9hfEv2 eWvnUCda4lW72majihU/nVG5Dzd0H5arxPptqGS6LFRXMCEzsmRTnnLF0bF5 9IHHSlgFj+uDz/4i+8M8r3WG9S1970fyvI9vWOYetIiT/SK+D/tBvH+Y9609 H2O/iPIw5bX3GWhP7AfB7AfB7AfB7AfB7AfB7AfB7AfB7AfB7AfB7AfB7AfB 1J/1KfWHqT9M/WHqD1N/mPrD1B+m/jD1h6k/TP1h6i/raUP9YeoPU3+Y+sPU H6b+MPWHqT9M/WHqD1N/mPqzvqf+MPWHqT9M/WHqD1N/mPrD1B+m/jD1h+U+ uYGpP/sP1B+m/jD1h6k/TP1h6g9Tf5j6w9Qfpv4w9df+fq/2/gH7E9i19w8Y XykPUx5mP4D71vjD+MP4w/hz3xx/GH8Yf5j1Nut/1uOSD2VYb8rv8RrWi/L7 u+QfGdZ7rN+ws/6CWT/J770Z1j8w6xeY9QfM+gEm/oeJ32Hib5jvq60/8TFM PAsTf8Ly+8KG9wGjH0Y/jH7ZLzXoh9EPox9GP4x+GP0w+mH0a++LsL9Je4HZ 32G/k/YFEy9w/5X2qM0PZf6Etefb2vlS+3208yd2xg+Y8QNm/IAZP2DGD5jx A2b8gBk/YMYPbX2Zf2DGc8n3MIyPMOMN+vk+6IXRC6MXRi+MXhi9MHph9MLo hdGr/f1s9stpT4yXtB/GR9oL4x/nkZw3cr7H+SLngcSfxLeU57yS81DOJznv JL41cnJptm2k2j5h9l/5fpxPEh+iT+6PG/4/9ZPfdzb8f/YbGT9hySc17AdK PqmBsct5uOF+Dvl1cNTJ3Jc1yjwRJj9Se/+J80+nDRcPBtVOFTv5knDNacuG LWufIUy+JDzas5lR/WY5wuRLwoe3rRlR1C5PmHxJ+MWKjONh3QqEyZeE+zpa lzvZ77kw+ZKw24Szo9cOeyFMviT85NvaXrY/FguTLyn3vb5aVLHnP14Lky8J r2ivt6k3960w+ZLa981+Oe8T5v3BvC+Y9wPzPmD0w+iF0QejB6b+MPXX3neg /dI/Gb9p35LvYChP/4G19xcY3/GX/AdDefoXPMZ8SO+7LwvEn/wH/CUfgvtA iVVsK+5Wueov91colmo+BPEL7Z35gf6CfsZTmP4CM77C9A+Y8Ramf8CMvzD9 A2Y8hukfMOOznMcY+gfMeA3TP2DGb5j+ATOew/QPmPEdpn/AjPfa9iT5hAaW 36MxjLeM74z32vFb8g0NrP29E8ZH1vPa/H3uy7B/wPjZPmi01cfnopUFqf7u 9czmiT/3NWHK66MLn3U9EiXltfnKf98X+e/vi7zv/ZD/7fnWpeVTa++jaO+T lHZfpLT7IKXd99De5zB7+rVVjcx45Yu+Xk971ohVtPnefzafWns/orT8au39 ib8635r+S//UnieXdl9Dex9De/9Ce99Ce79Ce39Em69Y2v0Hbb52afch3jef +33vS5R23v7P3qcgH/PffV9Cm9/5z96PID/0ve9HaPL5/7flq79v/vlffb/i 7/sSf9+X+Pu+xN/3Jf6q+xLve//hfe8zvO/9BO19We39wr9/z+Lf+3sWzGfy e4f/Yb//oL2PoP09nr9/D+Kv/T2If/d9Ce19Yu3vmZR2n0J+X+rYmEsrCx11 /2n3K/4fceWItQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdl1dwl1UQxe+FQKgJhCAESAgQagidQKihd1SkRmyAgoiAWBALgooFgSfF rjP23h3bWMbyZu8d69h9sDGWUc9xfwyMD2fufvvd797dc3Y3/3Rbtm7e2kYp pY45pcZajxDGCL2Eo4SxQm/hTqGd9mzQulPYITQITQW5k89YISwXCoRlwjih r9CSfYXAe31XkdBcaCEUs3rvGuEEoZUwXugnlAjrhXVCG8fC9/u+a8Id9UI1 7/1Na/YNEGqEUmGg0F4oEy4RtguLubOYGC4WhgiDhXL2dhIqhS74hmF3FSp4 31noA3/m5QxhE+8XCCOFKmE433UXemBXwn1vOGpNDm3hqQhfJtcm7CvkeTm2 uR1EzF3QsC/+leRXyPct/qdBEWe1xFd0AJfV6GF7tjAJfk7B7/cnC/3RrDH3 uh7mC4ehg/lugK9T0ayGeMuJeTHP7dlXwbuh2J3ZVwl3dfBqPkfA6b53PfDv IF5/e5awEE02sbccbnvBayO0cB5HC0vRtoT82sJN9QG+/vhLycnvNwqnkfvB rH4/NUUNOcZpKWrCcc4jzg7CxBT1WgbfQ4l/Mhqbg1Hk7zxnCLVwYe7Hwf+s FLXXk3113DVHmMnzOuJ1HVwIj5VwMBYeDuE+n3GecG4K7c3ZGDir5WzHsE04 H41Xpai/ZuQ9mfgHkWcZd7sP26DNQmJ23lNSaH8o+fTkrmlpv+7Tic29Oxse R5FnHRws4Nvp5OP9W9HGurQihpZ8M5NcZnH3aPbOR8tdKeaFdVvE+VVwPxf+ R6JNFectSvvngOvANXB4ir44KEXNN6C1e3U5vDmfSfjtW4HfdbkUHXZyVgc0 ORINPeuWcP4O9nnPsZxTgEar4aAZehXCxUr81mkxMS7Bbs8Zxx3w3Sr2n80d Pv94/N6zmWfbt1tzNd9auF9DDcyD28E8u0aLeb8W3znCidy1mmfb7dhfik7u wRp86/GfhO1zPJ82stccn56i7uaSg+P3rPBM75aiRzZhu0cnwIPP28D5Z7K/ As09d1wfU3hXAWeb4aGCMz2LthBfG3Ldgu2zt3J+fYr+8gzyLN2Gz5psRyOv 1t66e1a7b8dzj3OoTFFr29lzEf59OfrZvTUELTrC9xp4vlVonYN76+Tacl25 Bndytu/zrOiHBvXo08D+zpy9i/OXELPzuFF4Hx1uFlrk4Mwz6ZgUc+4VoWeO mXKlMCbHfQO1PpKizz4WHiSPXvI/gF0h+x40HCL7sRRz5RvhxxQz6HPhsxT9 /4TwLpz00P77UsywObKfTjFvXhBG55gVdVqfS2EPl/1kinnQV/ZDKWbhD8In KebSpcKMHDUyXesNWi8QpuV4tn2tMCmHXvVau+Sovee5z3c9xX2+6yphXI5a +UX4NUVtO8a9xPYofJmrx+HCPFwuzM4xt74WvkjRl+Xy/YRWXWW/mKIH+uXQ w1p8INyVYl5Wyf9yiln/G3k6x0Hyv5ZiDg6V/XqKmV4r+80Uc/Ml4R3OHyX/ 2ynm8XvC7hSz/Bq4MA/dtf5MDd4tfJuivx37d8T/LBovJL+3UuQ4S/YbnGkd XiXOvfBrrj4VPkpRqx/ybPt7nm1fz7PtCTrnS2LYI1yWor+s+RXovpu7fa9n jee7/+b2lq9PjnlUqLVpjt/X2T9WcvxOf5h6ci311zogx9y5N0V9//ebV2tp jt9oNVqn5oihudabUszov4V/UvzN+Ev4M8X/BMXac1uKvv9d+CPF35tnUtS9 a76V1ltSzHT3mXvM/VWi9Y4Us+xqoVOOWXx/iv5x71j/6hw1UKC1SY7edr1U 5qiZ66xDjtlibSdn/s65D3LMtrIc/8t4Frp2huWoH+e6B87dN93oHdfa4Bz1 5lqemKOeXV8jctSY7/wqxb3/Ai1YAEE= "]], Polygon[CompressedData[" 1:eJwtlGdsiGEQx++p2nvUFiqo0VKKCi1RpfYOEbspQag9gtJa8cmM2HvvEXuX 2CQSESt8IEaIlSA2v8vdh1/uufee933vufs/F50+tmdmhIgMhEg4BDWCSAo2 HoT1EkwyDIbNsBI6Qhd4CZXYMxXbC77Db/9eLdgHr6A3dINo9laH/qzLwj04 C92hPeQjthTbEtLhGhTk2TBsFjyHK9ACesA76Ep8EbYnvIY3vi4Hq+CF760J xdi7G5sJoz23/Z675ngAqrKnNbYB3Idc6Otnrk3sCzYBpkFl/CrQj3UUPIB1 vtZvXIWtmqOf6QYUZ/8Y7Gy4CaXwx2Oz4SE88lokQklie7ETYBzcgideyxzY BMuhDXSG61CEd0ZiZ8EF75n2qrnvjQmWu75zFOrip2IbQzPWl7B9YKb3di12 iliP6+PHQTTr6fAB3ntt9Z0jnpPm0gj+qISCaScGnsIzj5WHPMTyB+t1He/l Ro9pT3+6plRLAyCJ+EfNGeaohvCTYS7rSVA0WI21tqPEYqt9r+4pHayGOV7T EsF6kO2auAvHYQa0FftXFHsm+j8/qa6C/aue9jTYM13Pg7zBzqRnGQqtWK/x 2Hx4LKbpLNeEaj2NPQtcHx1Zn/HeL4QTEM+zdtgmcFt1FUyvqq/L2lf8TmJ3 Itd7qL1TzZ6CBPw0bFOta7CcNJfJcE6f43fQ96BQMA2pdoaL3f3IYGfRGbBH TJOqRdVsGdbLsLFiNfoMFYJ9Ow62iN0BPZuesRqxg2J3S2fMW7jjZ9EzNSR+ 0s+qOTfGP+25a44R+D9cC0PgK3zzXumdTCR+3s+iNamHf0xM21rDmviHxWab an4bFOBZhtiM2QGF8UeI3SGNbfdaZLg2YoNpXzWyGP7CIEiCf2Kaj/Fn+q2d YlrUb/7yd3SvzsgU4uvFZqHOkF1iM0pnk84InY0Xxe6uzsgVrhHVht7BVNYb xGadztSKwXqgtdc7+x8+KqAg "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncz1UWx33PNzWIpJJB+yYSmpGaZsaYrWZtmEw89iWyeyhL1kgLiogW kUgLobQokmUw2bcYW0IiWSJFZOm8nc/39Xv+OM+5y7nnfs6599xzft/nquad 6nS0QoUKtfU/qfPqzts5tU4KFfqn8385v8cJoQ5ONRhzqu1jdZ3+5u2/OtXx 9v2sc6pmoa+N0y+cHnYq7XSvyzzh1Mupt1NnH+vkdLvTA05dnX7j1M3pQaea Tl2c8p3ucHrIqafTH5x6O/Vy+pPTnU4tXV++U3vhx46u3r/PqZVTlyRk6D+g MWx8UPx+p3N8zSVOF7MXupw6OPVwauvUzqmneHvZwXxHpzyL/fs69RMW9mzo 4w2cLrWwGdlO6PR+d6daTv0lC97Hk9gb3QOFr5vTAOGm392pjTA9onnGBomD 92HpY81jwo3eRzVP/wOn15xedyrjOPo4H+L0ZAE7RmkNOoZLL1ie0jzYn9YY eEcKE1ieEWf9CM0zN0zr0DVBc6wbrX3wwbPi3JcXnYYK11hx9h8njr6XxMH4 sjCht4nb1diprNN4zTM3UXuCsYTPnXJ+2ultrQfXJNkPrjeFg/2bu3wzp3JO TZ2elw/fSKL9gtOrWocdU5zGaP1kzY+RTX3k61eEhf2myx7wviUOpmmymbkZ wogd74ij411xsE8VXtaUtzjrmU7vaR6MjSzOHEwfFrDjiNNOpy+cPpIN+OC/ 2ps952iMfT4WB+M82QD2+eL4da7mp0vvWqd1TgulD+yXO573nS92+l8SbTAv 0jzYlyRxd8G7VHyW0zLx2U4LtCdYV8gG8C7XPP2VGgP7KnEwrhbHjk9l80Lh nS/d68SZW695MG4U7k+cNomD9/8FbLrCor1B8zNlz2bJLpXv12jPz4QbO7bK zuWanydM2zSPTZ+LY9MW6WPNDtnGuu2aXy2fceaT5ZvJOu8rLTDudtojvNhx UJjY8yuNYfdecezeJ3vYf7842L/WPHNfyr/47xvpA/th4QPvt+L445Dmmfsu iTu0y+l7cfRdZYH3qNMB7QnWH2QDeI8VsOm4xsB+QhyMP4pjxxnZDMZTsgfd p8WZK2QxD8bUAjcxRE45IrxmYRtziYXsYWFfJ18UtpDFpuLePqk9f2aBGzvO s7CP/klhBFMRi3lsKmrBselqyZ/r/HwL21hXzGKePu8R7wBv0gUWtmE3uYXc SL4pZYHblNOrKe/yZhCD3OGLNJ8ql2I/NlFL/Nvn704iv6aaIw/x5pMjWqte IEe3U61Bbu6gGuEsDuV28ne+6gXyYFfVC+TmB5VXydHUKtQv1DE9VS+Qg7ur jiB/36UaonMS9pCLyd/g6Ko+9neXP7K64QH5ppv64OghOfSSw8m57Ndb/fYa y+qInlrTSTUO+1Av5Ckf95BvBgkLOTOrF+Dk4FbCkuX7AZID00D18yXbN8nV Clnt8IjkXtMZzhTGx3U2P7eoDwYnkTvJReOlj/z7pLAMU5+9h6uP3hFaxz4j 1c/qg5Gyb5T6AyQ7XHuP1hw5vJFybV/tOTTJ1QFj1SfHjklyNcE46RqvflZD INdHa4bIJvLFW8I3IcnVATM0Bz5y60StJ/dNEUZyKTm1mWoCfAlW3tXXZcMk rR+jdVktMFly1NHU1LXll4naH9zkzGlJriaYLtsYm5rk6oAZSa4OoH+ZRe5/ X3ZPFW6wvCc57uUTOm/eD94R3hswkRuI7T2aO6Y9yHsLklzunyObyKuzhWuu 5rI6YJ78uED96RqbK0xztJ53kLd8l2xYqP3Aukj9LPcvSXK5f6n2Xq4+ulao n+V48iK+IA8v1p4rJZfl/lXCtUb9LKduS3K5f60wfao+usiDG4SJ/LZJ+2zU HLjXa82FFjmD9zSrFZAj9j7ROuzZIl3YQB7bKqzb1J8vLGuEe7uwgnuH+szt VH+ZdGwRbnyc1WJfSO4D2QCOrCaYJdu4B7uFl/y4N8nl6cNJLt/v0z4H1Afr QfU3a/5r4WPdIdn0TQE5ctAp+e4r7Z3l+++Eg/t4VNgZOyJZct8PSS6vH09y ef2E7Dwi3Pu1T5ZLT0ou1W9BchqYzggTRI4soXxuOsdvtcaUwwsrx2X5uIjy MPn7XMvVB6zJ6qesPiH+zlNNwT05I9zk7KKqC4orn4MdLMVVUySWW1PSAit9 7lxJYS2lPnaio5jmzmg/k93IZb/HRutuHdI5LfS5x5z+gy+dr3D6ldN1Fr93 eV/5bnCbUwNvV3V+vd6jfsopvL03WeQY8ksVrS+jNwtZYqKCxW8D4qyMZNBf 0aJO5S7caFFbc08rW7x96KhkURfi+2ss6iH839LidyHvdD3skF6+VVxr8b0C vOX0npcXftpguUH6qRmohagXGKuscfasKGzsWUkY6jq/WfvwzeQWp3pJ+KCK bGesmjDg09vlw19a1EjI41dqpLwk7K4g//DtBbn6SWBCnhoBP90o/9xqUUch Qz2DHmoZvp/cKp2sQYZ5fFlVZ9dZ59wwibrubovajtqFGoY6iG84v3NqksQ3 nF87NfL2by1qNtp886HfOAnZmmqzHhnqo79Y1GfUZr+3qOvQyfcT+k29/UeL Wo429RUy1F98L2Kumbf/bFH70aYeo813GPZgX9a1wA6LWpDvS6xp7uN9NJYv GfC08HZfizlqNXI338KIhTrq0yaXU4NSf/5dMnwrg/8jk09CHll8iU+zmvWs f5Pw3x3yeW0LnXUVL/V0b+8Ufu7jPWq30P61pXOgxVxp8bpqn/2GJ53gulfY 0EtcXCqf4ueOiuX6igfiEB/01V1rrfuJfxro7FpZxFtTjTXUeH+Lt6CR7MvX /aHe49sNbwLxR11F3MFbSU9LtZ+T/mZqn7VbtjPWXOOsZx312F2SwWfEP/u/ kOT0Mnaf2qzlnWis8f5qD1bcYy9xRoxSx7dRzBInjBHLxDmy+IffMFls0a6v +OM3T55ivG0B2baS6aV72VzxS6xW156ddTfAC+6y2pvfTrwb8I5q19A48d5a 2OopdjtJTzvpz9M7w9rsjbhdNnJWxDaxPMDiN2FLxS6/x9rp3nbR2eLrPjp3 fqPxRhDLyPIWNNb7QBsdNaUnex+6aYw7yO+3popj/NJJ7wPvQi3N95BM1s/u L78DszeAdjO9AWBqr/fkIcvJPiSZWpJpoveEs0BHnuzK11vRVzbyjvfTPWmg 8Tz5CX8Rd40kM0T3doB8yP3qX2C+f4H7xvp7FePEM+u+cVpmcS/wXb7OpUbq ucgin4112mQR3wO0Fgz7nJZY3NPDTsstzpyYBzfxfcD5Uou7+b3TSouzBTe/ Z4id495fbXFW5/m+r1rEbnVvP2mRQ24WFvZd5XR9Gme+2+lRi/dnlPMb0jj3 W5wPtsiNRbz9hkXuHeT0mcWbNsn5RIs7j46d0nO+y0+xyI0XeHuqRQ5816lM Gm8cdlybhi2jnW5M43yvcf6dRSzg18vT8O0Ip6vSiCP4txZtfHZlGn4D+w+6 t1d4+5BFHD3j/Lo0zgU/VUjDV5c5P2gR4+x/QncM2aM6x2edV0rjPp/j/GWd TylvT7eoNS7x9tsWtUZxb39kURNw/vPk95I+PseiDijt7bkWdclF3v7Yol55 Cn+ncceGenuMxRv4gvOXLN7VBc7nW9RuRV12lkXts9hpkc6Zda9oLefzgc7o mM6ec9/itMuiftjsfKtFDjzltNYiFrdZzDH+o9Mai1i/zfedrX3POK2ziEtq 0q8s8tcXzj+3yH97nb60yHOM7dD4dt0n7tJG5y9a5OoNTustapDHLezH9pEW 94O7Qc17dRrvPbr3SD9nddLivDirmTqvwj5+bho5dYbOjPP61ClNIy9hB/+M w5ZyzvdbvM/EX/k0YvAtnT3nPtkiNogL4rhsGrE8TOtZSyx+aBGP+K9iGj58 zSJWGX8HjGnUyFWcV00jxz/vNM4i7wzXfeWucke+trgnb1rEG7FmafgLX3HX SqRx33hveHd4r2bp/Di7CRZxToy/Z/FmcVeftogfYud1i3eEN2SaRTwTy5Wd n7Z4n7nLF6dxn7k7N6Vxf7jXF6Zxt5/TGuSJj2JpxMhPrJrDxw== "]], Polygon[CompressedData[" 1:eJwtk1lvjVEUhr+zvhIhhGiUolqatqq0aBoRERExpEQUVZTDEbf4EW7MM5UQ IsQ8hiBuavYDjDHEkJjneeZ5s9bFk3evb+2zzxpLcosbFlmSJOMgD+5h3IWp mSSZLEeaJFvRHPZY9DE8gSkwnW9V+Fs4z+c8Bq3E3oLOwx6NVmBvRrPYo9C+ 2BvQZuzh6B04CTNgEpyDizAQyqGM+5vQudwfiZZib0TnYI9AD0NnvvVHi+E+ PDCPfRp3CvGt4dzEeQh6HLrxbYBigYPQEbsC7QNFnNehs7hfh+6H9qnHUgSr 4BrUQG9I8Rks4P547KPQFbsSLYFbsD1yq4fu+C6hjRnPuRh7PTobexjaC3st OhO7Fl0OV6EaesAjeBi5qQcr4AJU6S7fPqKfzGurNwfxXhtoVA0gw3mneqc3 4Dzsirf1xm6o485CtIXf/0X/mfdePW6LLw8KzN9cCrdhIjTgb0VXq5+cS9Hn 8EK+yFm93Re1U4+fwdOYJd2p5e2V8d85dGjqOSq3bMS2By00j3Ew9jJ0Cf5m 9QW7HZSphvAb/pjPpmZSvatO3VcTtVWNmqLGN+C6eS8nwI6omWqlHqt2V/Sb qOG26HF91OBs5KDYe8KZyCEbMZ+OmBWraljA+UTMYj/4DF/MZ1s78h39Yb47 2oGv6DfzXdAOKPebEatqkM97x2L2NONv4Z35LGumOuE/ZD7r2pkO2AfMZ1s7 8BremM+edka13Bu5qKYv4ZX5LqnHl9FT5r1WTX7CL/Pd18534fdHzHdTO/Ee PpjPunbsP7qCel8= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm811Ma/nHeLyPZRctMaQYZMQvDaC9tUimF66LSTaHltt6aW3MzUZgs bUqZTNIgzSDRYhvao2QJlbmlLIVQVG4q8jzzPPdz++P5vO/3fM8533PO+5zn fX+/2gX9OxUemcvlNh6RyyXYiyOXewu4HA/nwdYFfg28iucGwGXAMqAh0AZY ATRK6r8KaAy0Bd4AmgDtgDVAU6A9sBZoBlwBvA1cCnQA3gWaAx2B94AWwJXA eKAzkAe8AMwA7gdeAmYC44BXgInABOBa978K+ABoCXQC8t12NbAV2AIUAJM8 9/XADfY5RxdbjtsIbACuAx5w327AjYeN627LcZuAUqArMNl9ewA3HTaupy3H PQRMA3oBjwNT3P8J4EGPmw1M9TjGZAnsYu/7Pu+rDtrPBubB/xXsZ7ALgIFA X6AfMAToDwwA/gIMdluR29h3F7ATGOS2Ph7/FbADKASeBJ7yWosPm2MfUAYM B0YBfwVKgDHA39y2B9gNDAVGA7f5HfsO87oOAgeAkcBvsZdzgOfh52APwd6e xBPyhbw5A+3VgbvhzwWeAVol8bY1UD+Jt+QveUzekr/kMXlL/pLH5C35Sx6T t+QveUzekr/kMXlL/pLH5C35Sx7z23d4T+Qe+Usek7PkKXlJzpKn5GJNrPf0 0NmUeN/F7kfu5ZkT0xx3PpNj5Bz5SK7l+5lc6pYquMjnUvtd/I486pEq+Mfn LfbZ79Mk/pFznyfxj5z7Iol/08yDgebF2Y4J2xgfco0c6+P35NkO92f7PL+7 2e/ImcGO/RifG3lX5DGDfSbD3LfYz7vtF/kdeTPC70r8XGa/2O/4jdv8bpSf D9gv8bvRjl+tUGz+kcS1Me53h2N8V1Lc7vaYAV7LEMc13/FbbJ9381T0PwV4 GP5vrKm8t48k6VlnY5zneDRJ+/L8PMHz0E60PytJvxj/fyVpE+P8WJLulGvO g/Z7Op5sq+G1jAX+naRB5FoV75t7rgp/uve8CPgnUC/pno31OXDtM7x2coe6 MMX7mOm1T/J+8rzGWV7zZK+7m8c85nUeHZqnnIuPu70S2o+JCl4+4b1URtux UcHR2d5r7ZAuTPeZzUk686NCe+Z+nwb+4/bxjkdn82OE+TLH/diHukItoaaQ y+R0X4N3gTynDj8Hewsw3+30X0vSI2oQtXl7kpY+m6RZ1KvnPCfvyJtJGtTe Z/my478w6a7d6vle83q4tv96nn7uw/mpn/Pdv4HH1Pc3Fzmm5CP5Sl69nqSJ 1EHmmaVJuY9aucxzLLffxna59/ULzLMNtnfSfEs8ltq6wnOstH+57UrPs8rf ZvvqJC0u11/61OR8z8s5m/p8mvjdqlSh4au9/pOxniNC+YI5caHXtsbny/m3 OR5sp45T36nt79jvYMtn6j71lPrb1Xaj/XVJ+aCj7TqPbe5nzs2c9b77MEes T8oTgbVt9jzr/a6T97nB+2YOest8aOG5ODfv34tJd+5Dr4fjPk6qdVjnUN9L 7dNusr/ZflfPvdZ7PCvEj3p+V+p9c+7/uY3jPvI8KfRtfjcLfbvA3/8k6a7x Tm6xv8BnXui2rW4v8HN3x2Ct40x9+jLpflNHqaf3wv/JMWZ8mWtYo7Bu+do+ 5z8u9Fzotm/c5wS0702qQwZ6/CBjp9uK7A+13WWf9jv7zDHMScONMrexzvne bXv9zP7fevwgj9vjPseH3rF9qc+U53nQ++Qef0iqsdj/xNDzcLftT6qXCOY2 5jXqAXWhtde1z+9Huc/ttgft/2h/pJ8PuS8ta687k3IEn+/0N8rcn++PdJ+T QnOxnfcv5xgN9Z55ruQRed/VPCJvGH/qOnWe2k8tp7ZPddx4Rjwf1iSVrfnb HWPGlzUM8wdzBmuYSs4XhY5vP8eNsedaHjafxnqPVVyPEczxox1DnvVwvz/N OXK/98k9sq2K917Vdd3fPUdV1wrVnY/ucZ9qh+VXvmM+ZV7+pXNzDde07M+2 GvZ5n5jDenlcDa+f+Yk6Tg3n3aLe9fYaano9XHdN75G2ltsXuj/vJdd0htdM W9vfpSacGeJTNe+LY6ln1CLqWPlvJ9ah/O1FHaNWFVOHM+X7ezi3994c9o+Z 8uNM+H/IlANHwD86U01wLmwf84l9j3P/02C7Od/UgX+r78Op8E/JxIVerLUy xbyIeTlUi/C3Leuwa+C34Zln0pf34b8TykPDYA+E6pW25FGo3hnC+iFUK/we 45Z5nvPh93O+yQMiE69Xw18ZypEno22a49Iy9Ex/OvxWmWqRQfCbZaq3WvGM XQ9diLYTMuVx1hSsv3kOjAfjwpw+Bnai43IfbNtM9Usj2AesmbNgT8oU8xah eTlnbdie1qB7YZtk5iFs9Ux3rhps1Ux36y70mWRunIm2m62nE2Cb+i6M5/0O 1Vs10aeHtXgs3/secb3NvOa3YdeEaoJXYF8IaRhjda7Pmb81WNNwzaxr6PM8 WGvUdZ/esOdkuqOF8H+XSZv6AnUz6ensUFwZ02dh24dqwJG8f6Hft7fAnpVJ A7gG8oZ37DLgkkzaNNd3g3GY57j09V3kehY7PuzDfEp+s0Ys71vHcVzgvZXH lz716kPYD0I1zXLYpaG9/gDbMVRfd4b9KaSp18NWyqQTlTPdK37zePiPhs6s KfyGmfLoEp5xqI4sgO0eyrcfcb5QnfQp7JZQjdAYtixUn5yYiU/k0jewX4bq nn2we0K1TAfYFaGc1gT22Ez17RfwPwvVVTfCnp5Jyw/Bvyr0W+Em2FqZtH83 /J0hvcnQdm3oNwR5PdncHgzbOlO9zv019h73Ao1CGrUe9s+h+pDnusFnu4j7 CP2fxLV/7/X/yL2G6psrQ+fOM98f0hTqSS6TXlArjoF/XagGGhfSMurYi7AX hOrzdiH+kXtPwT4dquEGhPSR2kjuv2T+M24XZIpd/9D94d2ZS96F/g+bD7sg 9DvhihCnyef/x9bxzQ+dHc/t6tBZ85zrwW4O1ZaMyXbHhef0ns/qEtiNoZp5 B2yDUH3LmH/luF8E+0aont8GWz9UT9J+Yj/h+9eEas/S0Lyck1zbZL4xzt86 1rtgG4ZqZn7zc3+XbV+7/ahMOYb55U+8c6HfI+Tsx+Yt4/+dObA1tGfud15I 06nnc2CfDP3XyLvL+049oc5dGtK6lvjWI6HfbRfBLwn97pnC+TLpFN/PcB9q /+sh/acONbAWdQEeCv32bZeJu+Qt225we2vYizPVQwNDukxNXhXaJ/dIvVwb 0swLGf/wf16ZtJg6/GYoNowL89u6UI5jnjk/lGumhvIZ9/tqaC7O827of2H+ LmM+uT+UU34GMjHlJA== "]], Polygon[CompressedData[" 1:eJwtlXmwl1Mcxn/d8z2tWpCIyJU1e2M3SMstcVUX2bcsJRT+MMbYl5ZBsrVo s8UoJZIiEdnSJKTJmmnRQkyihGp8nnnOH889n+e8731/Z/ku1X0H1Q2sqlQq Q1GgSfxpnSuVdalSGY3G4y9FI+GpaBh8V5hfRjW8ewS+Bn4FdYDHhllz98EH 8c4/cAv4KLgzY3/8DHQNvC9zG+E/0D346mxuBt+P2uO343eGH0CH4+sx7oI6 wF0Yr+P5TPQC3JK51fAo/Q/clbkB8Cx0N7wPc7/BTeF70f74zfjm8CXoUTQp ec+3wtvRd3DS76ADeX9r8p764dvh/0r+Rj34POae1FrQ9fAhzG1L3sPR+EfQ ZPhx1BHuxPNWjIPxVzHujd+QvMYG8IXMPZW8ptPhzsy1ZhyG/4+xN3oCfh7d AY9AU+D6jDeiw7IvV2d2DFwTvrsGjGPQscw1LGf0IuNe+PXwGHQ5fjf8z/Ca 5LsdpT2U+74NTjxfDgf8qu4YPYufgzrBXXjehvEh/J2MrbK/pd+8HTXCr8Rn rQsdiSbi30r+7Svwa5PXMAU+Cw2Hn0Gfw4vQGfAn6Gt4KVoAn4kWw1+En/VA S+Cvwqx3voGXhd9diD6DF6KPkr+ptUxFbyev6R14LnoX7obehz9A8+Du6EP9 r+bgPmg+3BPNT55rmx3jiu3f8ftlx6BibxP+4OyYV6z/i5+mXFJMJq/hgOyc Ui5twTfB75SdS/0U03Cz7FxQji3gvU/Da9OeGvLsYvwqeAWqhV8Pn+UINA9+ L7w37WmO9l7yW3v+Ef5BdwAvQsvhn8Jci1bCK8K8WDkNb0S94KVogs4ezYan K8Z1DmhJ8jur4NXh/z0brYPXoy/hnmgtvCb8THOnsp9T0MNwS+ar4PO1Jq0V bYL/DP92b/Stcjl819rDm/Ab6DHdbXLszgyzYvgCuH52LisHe+le0HPJObcF 3hz+9jL0N7w1zHXoXLiSnZuqCdvw56DvtRZ0aHZNUy3bgd89u0Y1LTG/J/5E 3XE4J0+GT8quFVW6J3hcOBenocG6a+baMo7FD1Vu4KsZxyXXgoHh/1VN2BHO 4Shr+jhc81KJ2cbZNaV+iRnVshvKWlXTIjuHczlz3e0taELyHb8ETw7nsnJ2 YjgGdPevJdeSHnyjXakps8I1UrVxbvLdzA6z7qgufIY6O9Xki8IxrVhWDbkM 3xc9nVwDlTvTw7VIOdSnxIhiQzVrhmIpHPu60yt1XuiX5G+otvcvuaYavwf+ eNQ43COHKxeyz141XWc9JFzrqsveRjK2D+/xuOwepd7UiHHX7JqsWqyepW93 Cz/Tb5yQ3ZPVi5uEY6F7mBUTbbJrtmq11lyLHx2uPfpN9eau2WetHFZvubrU HvUY9d5rS+1RD1ZvG1Bqj3qcYunBcK9RTDXHt8jupeq56kU3ldhST1Ktv5lx fHLNPw3fMTs3NadeN6jEpnreBvRrOLdVA/4HXwocCA== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGfYlcUVvIh71t57BAUFGxpsxG6MSTShyQeoFIHwoRSRD2kiIEV6rxpM SAKo0WBQFBuWiGikSRFFsIAYRAhoBKIYS0xmnpn73PtjnrPvufvunt1zZnbv W6tjVUWP/QqFwhvVCoXqsCdGobAlFQovAt8Cy4E5wF/g75ALhX+h/UegCdAM +DfQFKgArkOfr2BvAP4LrAAeBP4HrAQeAqqhz5uwDwOHor0O9jEgo70G9lGg OtqrYP8M/AdYCswGEvyrYR8B5gItgA7AwfC/BTsPOBDttYwX6A3cBnQGDod/ PuxfgV7Arf6tC9AGaAtUAjcCNwGdbG92X9pWfoe2NdDV790CdLNtB9xu2x64 02NxjB7Ab4COwOOOvbt9XEtL4A77i/1aOqaejo9jVfm3Sq+ttdfQx89c0yRg GHAv0M+xMsa7bBnj3Z6fcw7yuJxngH2M9wn36Q8ciz38EPY54B735fqGeE+5 30Nt+3h+2r7AQI/HOYY7JsaywGOPAEa6zbgGe+xefr+L1zDKvzPGMR6XsU/2 Wjn2OMfHMcbbMsYJtoxxoi1j3AA86Rg2Ak85lveAhZ7zI2CRx+AePAuMBd4H ngZGGwMc0wfAM45xrGNkTJuB5x3XJu/lOMfe1/tC/r3gGF8GXvL6fg/cD/wW WAxMBWYANZGXGsA0tJcA091nptvsM6vMVxd96wAPJPGXPCafyVdylPX2RRLX yTtymvwmz2vjvVrAfWg3CnH+T0mcJl/JE2oGec/aJXepH6zv3cDfgClJekAN IMdY76y37n6Htc36px6Qx6xtcpr8Jt/IdWoG+Ub9IKfbOe5Kv1/kcGUqcbhT KvGzm8dlXZEzRW6zH7XnkVTieWf/Ru151L4i54sa0NVjfZyknZO8hh5e2z3O 81j37ed8MybWeU/P3cvPnK+3nzl/Hz8XOdzP+0Uu9PccA/xc5OEQj8u5BzmW ge7XxfNz3Cr/PtA+1uIwz80xilwc7LEqPW5VKvF8qPe9yvMUuTfOMZFDIz33 aD9zvjF+HuS9GZNKXB2fSlyd4Hkm+fmYEMfIwyNDvF3o2Ce7H/douH1HhHj+ lPeLsZDvR4c4TK4eFeI8+czxzg31Py7EVfL2hJAWkJ+vJfGNnDwplHty9ZWk Oic/T4Z/T1Ltv5rE2+kGuUhOkk9sz/BY5PnvgO+AZUln3d+Tzt1mfmeW+5H3 MzwXOT3L45JH5CA5Qe7NsY/jzbaPuXnO+/625+ng52edC9Y5uUbekEfkeCuD HGltkBdtDHK2rd8hN9vbznf7naTzr7vneMY1MNL5YV7WJ509/b0G6hI5/W7S mTHCzw87rtHO2yhjocdjHPO8jvHO4TjHu8bxTnQ+WWOsmxft2wlsdS53AZ+k ku7SR72d7JzzveND+r7I+V3snO5w7un7DNiWSnWzxPncnlQ3U53n15M0uXFI Z99w3pY6dz8PjbvNcS/y+s4Oafcy53y5886crPV+cC9Xlu3fm2W5XVWW29XO LffvrbJaWOfcMoesG9bMeSG+kDdPOk8jnMN3nOu5jquFc7je+WWdrnCemf8N frcexjvHvGU+Nzqn9eH7cRlX33POWUfvuxYuwu8XlmkELWutAXwXl91jaFnv l8D3kzKeb3KdXAbfpWV53ex9vgK+y8u04CPn4VPgH0lnHOtoi2vpp+h7dZlG fOyaYR1tdf+r8PuVvn+zdj5xPVwD31732eo5pvj37e7DOtjhGuP8/3Qf1tRO z8Ma3OWxqV2sxSXOCWtmtvtRq1jbe92eYrvHft7veSdoavAOwVr90u0KWz43 8xzbHNsFWMv51tx9Hqd50l3ja8fAGtw/VIOs929SqZa/L6uXH1KplguhWmbN RpT4fUCUav+gUC2TkzV8h+H96kehnLDGDwnVODmxX4gTrPfDQhp2Sui+Nc17 wXGmeq+o9bvtq+nxfxZ6Z5rXus/7w3vU6b6DsV8t6zif6/g8mGk/faeF3mHf X4Sei+/Vdh/yincO8nGWx/lDEn/II/KSd78z7T8j9Fycs679vwz9Rj/Xcarn 4nlEfWG9cIyz3J9naz3z9DHYyqx64rl8njVhJezS0Ppfgb0zpHMLGJfvkI/D 3oJ3G1LvgCWhGpoI29t95sBOCJ2HQ2AfCtV6C9gVoVriGX2FuUlNvsz85TM5 Sx6T3+Q7NYD/axpYE3gHqG9t4bl/iTWB71MHqA3kLrlc5Dc5Sw1gHOQq+cL/ 0VeZy2OpLVl7xvvGBa7/0bAXZdXBCPIia69vhL0J+FXIDg617wVuzuL0ZMYY 0t/psC2zeM+9aZ21PyPRbpXF+46wD+K5CdAG7Wawv2aswGFZGj0V7SOzdLkB 7BjXQU/g3CyetId9IKQ9w8iJkC6cCv8pWfeyz5O0hRozDc/HZJ0HF8KOcu3W Q/ucrHtTfdjh5kk7tO8P6Rw1mxpOXee41HT6mCdqOHX9NtjLs86e+dyHkJYc lzU35+UedArtw62wl2bxoTNwZdZZ8gQwNMTjrrDXZM3dBbg6S7MWA01DZzP3 eLzrkDmpDOWlAnZ2SPeOyNpf7m1z9g1x/9Cs/DF3h6DdN3SWHov2QPP06Kx8 MBeHo31X6Cw9Cu27Q+dnN9hrs/aiCmicVZfMbdus/PYAGmbVKO8Qjcwj/m9r ZL6wX8Oy3xvbzxxeG9LuJvazD3PG84w82GONo74thB3k+FnH1CnqBrnEPeYZ zlqnvlBbrg/FwfPkDtZ4Fj9v57tZ/OzOPlncY413DNX5POebuZ4b4n9zr+t6 r5Hfq+a5D/nGHD5tHb7O/e9zzbHeeoW0ibr0WiiXzONWzhn6jhXom7K+XR0A e2DW2dA/lCfm6CTYE7P072tgX+j71k5gV+hc6RfKPfPeh3Uauh8dDN9BWd+r vgG+DZ1hXwJfhc427jFrhft8A7mclacBofpgbXyA9oeh83ILcxU6LzfDbgp9 nzsBfY/P0u/TYU/L0ry1wJrQt7eTyfssXawJWyNLw2rD1srSzjNhz8jS3bqw dbJ0dy+wJ/Td7nPgs9C3PWr5AueoGvoWsr7hfQHsDp395Nar5td6cij0PfIH 5iF0lvM8WR46U9aRT6G7wsyQTlGjloW4R941h68i6+68ClgdunPwnHk9dNbs gN0e+k5ZHX33z7oTfA98F/q+eDZ8Z2Vp/Dbg09D9YyOwIXRO/h89nOQK "]], Polygon[CompressedData[" 1:eJwtlnm0V1McxX+93v0eSSklDU+zpEGlQVE0E+L1IkOFXuahsMyWITNr8Y+Z aI5INM+GZczQXOaxOZKSSlQ+e+37x157f+85595zvuc73EblI8tGFBUKhdGg GNwShUKVVCisygqFaeBP7D/Aq+hieDhjU/QMezt4H30TeAX9EbgNXY05q9Fv gbHY48JjA0AZY2OwN6N7w6/p3eB37G3gM/TnYDd6IDie+aOwd6BL4LXga/Av 9ngwHD0JbEW/C55G3wu2oH8FNVl/J/bb6LWgOvbt4b2tAUvRX4Cx6D3gUvQh zKkKr8Q+D/4yPKYzX4aeDH7T2UFV5t4a9pXO/IJ8ATah14O70LWSvz0dPKdv g53oHnCBsUvgFdiV4QlgGM/6w2eDoeAf7QksY04pfC7jp8Ol2C/DT4XPuhHs ztdoboL3gb1gSuZ3FLO2CLyBfRj2PWGfaX0/+RVcDJZjV9K9gMHyAXZFeDU4 HyzB3geWoQeBT9B75XP0hbpD9MHM7zoADs3fuQm+SD5HV4CzZJ/L11Xgg2A/ eD3zmh1gCFiKncHPhs+ss67L7Ov7w3cvn2uv28Oxqj1X4v0JTM18p3eAGsl3 r5joLF+EY7kFPBp04tmxcF/wEmiP3QTuo3Ogh8FvMv/wPBaeD9+1YuJFdFvm NIB7ggdAG+z64We664rJvtedT4dngI/RYzLrwYyfkT97FO6I3Sy8J+XOQ+HY Uw49jD6B8cbhPf4N/lJeMRbwk6A8OZb0PvlyV3hMPlXuPBP2pXJId7lSMZf5 ThWL48O5qJhcAj4FZZlztAvjM8Ox3VIxiz0SPhV0BwOwzwEbGO+FfV84p0vy HGiNfge9CF1PPse+Fj4RdA7XhtLktaoRd8M3hOcuzuzbB9ENI/cxdk/QAV0T 9EDPhWczt732hH0V3E5+0z6x58CzMj87OnmOxmqARujeoBP6SNALPQ+ew/yO 4W9dHX63vqm514THtOYo7JNAK3Q10B+9GF6Y2Ue6u0fgpuE7PA77LHAKug44 E70IXsD8booBxQboiq4dnjsiPKY17ZJjtk/ukyHY0/SecEz1w14Iz+d9J4dr yRPh2FNN6ZCcA33zPZWDQcm1QTXiGNUenUlnC+vr4C7hZ6dhL4DnZfkz7MvD sSEfaO/Xh7+tM9TTWUFb9BG6d/Tj8gNoDr4K56hyUzVfufBYPqacaJIcM4qV Wjo3ej48N3MMdcW+Am6tuNN3sWfBMzI/q5M8R2PVwQqwJlzbxmXuDcvDtU09 Yj16c7h2TcLeAm8L18bJmXvlznCtUs/8Fv4R7EdPUI0Ir9HconCu7gnXauXs T/C6cO2cmDk2S5J9oxidDddN3utM7KHJOa7c1h1/CD4I99pd6skaC2vl7AXo n8EB9VqwKj+zzqqcV+3eAArhGq5avTW8V9Vs+a52cizLhxvDPpEvtOYbcHO4 N+sfQrW3cnKtVA1WL/ov3FvUk26E39O+M/9DTA3XUNVO9XzVjoHJ/wqqIS2T a4xqS10wMdxT1UvV89WbvtM3MvcoxdaV2G3CMdYt2YfynZ59H74j3Y3WqBa1 Sn63apJiqXFy7iumlIvNk3NPOflL+M50V/Kpemsk9zL1WPWyCsm9XT1Nudcs OXeUg8qVpsmxq5xRbWiRnPuqEapd9ZNrkWqYak/D5NqmGvRD+E51l4qx/wG7 hEJ/ "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt02dbzWEcwPFzUIhCREYlIyFlZldkrwdegcsLyEsxsrOFsmd2RpJE2SMj s7L3CMXnXHnwvT6/3/2/n537JC5cND8nGAgEypWs0BymtopUJ6Vombr4GKMP 5glcw4nsqm76aM/gWmYyVt31yd6DeezJl5zEK0zgXsZzH3uzkv24n315gP1Z xUE8zIE8wsG8zqE8yjQe4zDe4Age53Ce4EjeYjpPcxSLOZp3OI4lHMsL/KHx 5lI+03Ot1hO903u90nmNce8cb2uOeRU364zm2s/ylG5qtn0l7+ueTmqWsxWs 0TTzEKUqRUXOrmmmeTm/65u+hn43ZwOUa96kg0qyH+JjPdJTPdRbbdQ839/w hepVp6nONnAKv7APE5Wt9fbJ/Mw49lKW1tnv6qpea49qtVsPVKHO7u0KvSXu ZDQvsyMLGcUCdgg2v8NI7mA7bmd7XmIEt7EN80NvlGWs1lZd1BbNcD5dS83h bK2WClMrLQk0P/SgGo1/1aTF+q0/+qlfalAL9xb8/3/8A3+uZ7U= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{336, 335, 339, 740, 731, 732, 730, 734, 733, 645, 736, 737, 735, 739, 738, 646, 742, 743, 741, 745, 744, 647, 708, 792, 692, 729, 669, 727, 668, 728, 644, 338, 337, 336}], Line[CompressedData[" 1:eJwl0ulSjnEcx+H7KRVRCmWyRFLWbCHH4RA6AB2ADkD2bFlm7Cpr0ZSskQkp JHIG3mTNEhK6ftOLz1z/7/3i+d8zz11SXbN1WypJkk5tT0uSauMkjylJT5LX /K9/qrCPcjUH+VfjWmU3cCVf8Y/GtMI+wuUc4G/90jL7MMv5kj81qjL7EJfy BX/ou0rtg1zC5/ymryqxD3Ax+zmiL1pk17OYffysT1po7+cCPuNHfdB8ex/n sZfvNawiey8fqENVdjt79FinlfLsFI9rh9LsdL1xHtJb1Wm9Zzd5RlOcM5Wh NXri2U5tcD7Lh+rWLlV61slzuqDN9nme0G5ttG+xUVnOTZzKdVqrp/YebXJu 5iPd0Rb7NrN5kdN4idN5lzm8zBm8wlzeYx6vciavMZ/3OZstnMVWzmEXC3md BbzBuWyL/1SZ8c7xvnF/vEvcH3fG/XFn3BN3xj3x23FP/Hb8njLiG/G9vtOQ etSuRjWoTrWqSU1+2xM+jVuy "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl08VTlVEAxuGDF6ytLhTZOOPWLqQUFbFFbERn5A/QGewY9y6MlToGuLAL u7u7we4W7G6fMy6e+d1z45t73ztf05JxhWOTQgiVNEsOoVMihDKae5ybEkKp 9qaMcpaR5/kW2kOXaL6O1746R/vobG3NTnaxjR1spxUVbGI9G9lAS9awllXx OqyO12UdE9hCPzbTn61M5AcFfGcgP5lM8F0G61+GkOQ8VWvrcE3REVpHp+tc ilnEKJYyk1nx99LO+xrQkOXOHTRfO2ojGrPCOV17xj01lSasdE7TXjqGEkYz jxnU99pIratFWk+nabIO01o6VBM6Rf8wiF8U8ptJnGAARznOsbitzyyM2+n8 +J/qAl1MG/awl93sZx9tOcghDnCEw3EDTnGak5zlDO05zwXOcYmLcSOucJXL VHItbsZ1blDFLW7G7bjDXW5zn3txSx7yiAc84TEZPOM5T3nJCzKppoZXvOE1 WbzjPW/5yAey+cwXPvGNr+TEfd0TeXSnG13JpQudySGbLDLJSPy/n/4B7k10 +w== "]], Line[CompressedData[" 1:eJwl0UkvQ1EAhuEjdGUmWBlqpoghNqbSVsLWHyCm0tJLLCxEiqJS3ZgWlvij HrF485zv5uRsbnw32irUhBByStaFkK0NIa9IF7rUlYoqqayK2t2t8oPvWo6F sKIlrSqpqu/nyjin+KayNu0nPutMaXuNr3rQhv3IiiKl/t7kixacFzWlgj3B U07yngmecIx5jrPEUeY4zGOO8I5DPOIAsxzkLft5yD4eMM4b9nKf3dxjD4vs 4g47uM1OXnOen2zjOlv5wxY2a04Ze5bfbGKjZpS2p/nFBtbH/v/RLxxJJjs= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1359, 1358, 1476, 1615, 1728, 1649, 1727, 1650, 1729, 1675, 1882, 1676, 1697, 1696, 1618, 1731, 1732, 1730, 1734, 1733, 1619, 1736, 1737, 1735, 1739, 1738, 1620, 1698, 1889, 1699, 1890, 1678, 1885, 1710, 1884, 1617, 1883, 1714, 1713, 1712, 1651, 1677, 1876, 1616, 1360, 1359}], Line[CompressedData[" 1:eJwl0llTz1EAx+GT/IuULTuhUrLdC9mT/cJMsrRhrFFdoJCrXkB4FzFdyVLk FSBly1bIlmwhksQz4+KZz/me39Vv5iTvLttSGhVCaKQkEkIRdeyKCSEuNoQR xDKcYRS7j2gMQxhKNEXug0bxx/kvgxTymwH66OcXBfzgJ9/o5Tv59PCVT3zh Mzv5wEe66OY9O3jLO17xhtds5yWddPCC52zjGe085ilPyOMe92nhLq1spZk7 3OQ2t8iljvMU++da3aMXdKE+1DYecJRH1JDg2zGN1+M6Us/oaK3QUVqpY/Ss JuoJHasndZye0wl6SsdrlV4k03mvLtKJTKLeXqz7dIlOZgqX7Czdr0t1KtO4 bC/TA7pck5jOFXuFHtSVOoOZXLVX6SFdrcmk0GBna4mu0VRm0Wjn6GFdq2mk c81ep0d0vc4mg+v2Bi3VjTqHuTTZm7RMN+s85nPDXqDlepomb7mGaioi/9/4 P0XmYIc= "]], Line[{1475, 1430, 1434, 1435, 1436, 1437, 1577, 1674, 1847, 1673, 1845, 1672, 1846, 1692, 1844, 1671, 1842, 1670, 1843, 1691, 1841, 1668, 1839, 1667, 1840, 1690, 1708, 1665, 1838, 1664, 1711, 1687, 1700, 1663, 1684, 1662, 1879, 1878, 1634, 1877, 1683, 1693, 1686, 1886, 1685, 1701, 1635, 1880, 1666, 1694, 1689, 1887, 1688, 1702, 1636, 1881, 1669, 1695, 1874, 1875, 1871, 1873, 1872, 1703, 1704, 1517, 1475}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdVnk8VW0XJTSRkqFBChGlXiqiyCJKExWVuWQKiUR9vCqSJioqc6IiNFAZ M4YyZ5459557zcQdMlbkO9/3/HN+67efs5+19l77OUfG1t3YYQEPD484Lw/P /55/9wUb8wSNwkP+q6JVyBSUxXmHSkNHYaqdNzR7bQoW6Yxj8d2jyHkk2HQv ZxJcV5EfJ+XHMH5W6MPi+QkcVzycRr84hjMGWwkB4wl4ed+UVs8ag4anXDg+ jIN5seWZ4MQYpCKzaGby47j9ZcfBnu0saPKGuki++okFX1Jcst1YiOG8EmbL /cSFPUZCt96ysOhW9hrDVC7iwrJm9/Wz4EQ7OV64h4vlFZtaOOvZuLAhYkn7 dw4CD+j+cjJgI0pCWnnNTQ7E/SZKjruzsSFKqsRZnYNGzVuLkyLYOGUv62xK snHGeCjGsZAN4tMj3XsmbIwl22mG9rJxibtVXLWGhSIHzUvCI2xMmhy8K5PJ gtcrP6l7HDbWzEm9VnjOQiqfss7cFBu2RzvVDtxhwVfoUOvFOTbcFkfwXndn wV687NLKv2xUsoMXqF9kwSc1lCeHwg5VozpcFxbkhd8FWs6zUXrzbcE7Jxbq 2mu+plLYp5m+5P55Fnj+vzhw/P9iYedVbenNFK7s+lKo58DCc+WFMKbwrV0u cjL2LPweS/ZJpPDy01YriHMsJIi4pU397329gN2RZ1kQUDejHeTlgG+2Nt7Y moUzxwbcr/NzEGepnP3pAAstuW3ZHxZxUHvbyVNRhYWjmxM/kks5KAkXfZW9 hoU3D8otlwlzEKK8Z5kVHwsBPP3a92Q40Bfdqj307xg29jT8SVHloP7BzKXc yVHUy1dKuhlwoPut+GmiJ+UbXz3ZNnMOdo1ExN2c+EHlV3pIXuBAVNHEVsn7 B6QaZRd43uHg9nBamHDJCPYKC/yWe8FBUrPQp7jlI3hyf+E8+zMHrOKSYz52 wxA9fO5eXQOl/6zC8gMFQ3jYJ/k3b5Di227mmLVmCMv7Iws+zFH55oXy/HwH sUxt6JfPWi6ev8wznkgawHTsemMjNS4y3pWIZ3b2I+6+/3spIy5yVZcVaYr2 I23RDpFOey4GvWmta0z68FKxrtTDhwv3Fdt9R6N6MUfvNu8M5iK86rLH2b4e BO8YYPLGchFRl3Jli1oP8rj/amp94KLXfLlyvC4Tl5fL+gcXctG54I6khBkD zQUSq+rKufjmcoejwqEj+uLG5YPVXJiHJLmH76Mh0kD/V1EVF0aPzQvqkroh c2VFsf5XLnwVffu81nVBMrTGyy2Hi1VxDd/3JHQgW9/EvS+eC/0nsyOz9W3Q uXlvUt+PC76QXX9U1rTCWVF7JP8UF6/1ilNv3WiGgsaAR+hGLsbyigOezzfi vqRNvtwwBxMSObdEYxuwR8IpeSKJ6lezzMLPSXW4JLb3xFNrDpxdRkRCDn1H YeIS6R/9bCx1s/T45l0F1m/FVk95Nrq2XdnlblOB7L2b9gSZU/Pc2qb98kYZ dK/q8msHjmGb1mL5sfqv0BUaz4pJHsX6grpnmcdLIZ1oeSam7Ac+C7JV9eeK YWl4q20tYwQN3CWvuxK+4Nc649TWmWF0025s3B1RCMPm+FoLkWFM8uRrtFfn w9fV+9UypSHwPfi110ozD2ZfdlvKGQzC6l3DgQnmZ6xWaaanOA5gw+2t7Wa5 OVic4T77b1A/7tw3k2suyIZPYqSHSUYfXl/4/u/uoSzUmNbFpeT2olV02CFw TRYefXblFFf2gCmYKmjpk4mK/NFNikwmrjfZetnyZSKqR6xnDx8TEmsPnxbL zMC+MI27/ygzMLk6KzblXgY+m428UKmmwzL9Uy6PXwYwU8YZOETDL7YrwsMz IJOzXcSQ1o2olfuZDjUZmDDexVewsAsyNkZqXw0y8b5oRvuLSQf4dgydOfc3 EydZaszp0jZET86ZPeJkwTR6p36PcSvSBPwXNkrnwJQeYDbI24ITRw3Lqp58 xmaR8MvOdU3Y3XLZXPxIHtjZzkG12Y3gtzS488+xAqwMd8u6mduAAZkvjw+/ LoL3nXvnyw3qsfSAo1bYfDEuF8XT5Wxr4bXNZanmVClak5KbhAtrUF0SzVDY W4YH+iZx5SbVeJXK02PcVYHNC21v0WWqIKmz5+Wlpmp0LTg/vXNjJcimdywF xTrIizV+d/GqgJN9zMHCqAaIbx+LF+grx5N0+xgHrSaQEcUyIpfKkVkVZLV0 rhlr3y+7nSlRjum5XE54eyusu00cVNrKkDN0TYFW0Y4pk10L6O/LEMZXpZxe 2Ylrvle6/okug5P+YWnhlm68kie931N4l+0xn2O9NAhs2XduhtqvVvvs4z02 iY8Vqb9rGsugPesX8mOGgdyAbedmFpbjtKt1JMFloui6gpDjkXJ4fAqySyV7 kHv5CMTiynH/tLnJ0JdeJO4K2rf6bzmEbE6tjQ/tw3P/CLtYlwpsStt89PLx frCynlXQeypwYYWE16O//WjQvyKh4liJ8cPiuS9iBlC4pnrJz/FKyPplvSqT G4RFjt1IeHAV7OYCXns9H8RKU02BZ1urUXI1ud5FYAhvg89KP2yrRjqNez7C egipv/ZPLbhfAwH+rbn8yUNY5hRUEKv3HaaO5VlNPUOYrzL4EyBZi3Q775pg iWGEc2TPhMzWQntfToqz1jBEHE2XWA3UIWN5c2f7qWE4qygo3O+oB7+D9BEF +2GQxeJ3rZ0boL5RKDHIaRgN6SL6R0caENl3SFicigf0i8f2uTVC6PLImzzT YVwc9Fv+e6oRnv7W0sb6w7jOKl13NqAJ2y9kD0RsGYae6MRq4bXNMChe9/7v 4mHEcx/PLs1qhl20rsYL5hCc3FISJUxaIBe4W0IoawgpPo6JY+Mt+Bz2Z7zw 1hDKLh9OMohsxUQbX/sGoyHYNl6jtWm1QfjKD96HYkOYqv5+16CvDZsNVwWd bB9EhIfHTTxsR+Fk1Iv8iEHkWDy4AssOjD72crXRH0SKp1C76pZOXImO8Kgd G4CZUmvZ6V+dkJ8Kc7B4OoA3YiWM7xVduPgf80XmagNY4/v4wYewboR/Kh1Z 1dKPz2+fvl58loBB2vamPvd+CBrsSGmRp0EzxOO18JJ+0LYVXw8VpaPQcDoq 7m4fBDxrJw1n6JjruJV+jK8P5ucS1KcaSWytzhqqvdaLm+NVN9WPMaCnpzPd NNGD1rnVNs2pDGw7r6Gs4NoDz8qqzY3UfaOfHXvoZS8Trytsdh04zgQ97pGG vBUT3yVOtds+YcLoWdnMyzYGpA6s8/u3iondug5uwicZOKsTGCg4ycQnIri2 +i0Jlrjb3zKxHpSqJTbq5tCxbO975ceKPWiz5Eq61NMwfeUhf4hKD9L3l54S nySQMW/ETFbqwYUTZeYSywhYTXd1RazuwcmGDkMPzW40qb+RTJphorZ9RaV4 QBd6xJzU3WuZ2KGTO/igpxPOwuOLq6KYCEsajuJadyLwmnV7OsWb7qo3OzrR gQ2fnAO1JZnIfvdKLTu5A2N6N+76UjoKvZ7fFbvagS+Hzez5IxkwtAiRPW/T AZaCdX+LKQOdfpM/hCj8W83GSGktA+WVC9fOeXZgz51CR90iEglpEm5jMR0I 2P9P45FjJAJk3EVONXfA/qtbAP8wHZJMTc1Lkp3YyLn+NvkBHV7VCbL7PToh pXPpp4wmHdLdo+lvmzrh/37V9OgoDYEP2gUijnTBY65aqjmVhm1H9y6s/94F 3/g7mZzrNEjvPMgoM+5GgumHLYLWNKxXDT7E7eyGa+SmzOeHaViQzSodOUMg RSrCon8/DUFBPnP36QTu1K1QGzWkQTeiZ9fcKRoumIvHPz1Hw2/hP4VEKQ2n H68+/9yPBnX/VhuNjXSo9xXMZyTRMOd2ZX/cFTr4R33rPFqp+PMFdpK5dLxc tC4yX4wOd6W3u2Um6RCO9llrakGHv43xxShJElrivWk9CXSYGdev1dlGov2J jbYwm473R6M+eimRoCudvp20m8TFYZVry1aTuCKX2Bl/k8TdUfMSTSrfuo7v F6TLSNyaLJ52LaPja/bokD4vA161sxEqwXSscH9WqrOOAV5kvJE5REdi1Lq4 x1sZOEyu72xfRUdmrf7ZtD0MbP/DOd3dR0PL1IbtNw4wcOpl05G5jzRY+5et /EnNQ8vQqzl+qq7hnkrV/FS/53nq+NOo76hC9dS7PEsGWpklZUmraPDkD9SQ OcNAkX6qZMgggT2mtiFGFFYVLdGaziUgcP/fpB5zBmj3Ig2YngTct5/8q3yc gRODyfYnNAg0Cyrel97HwIYHDT6piwkQkQ8e5aswEH5w1qOivxuCR2N2SUgx cOfkf4oY9d3Iuqiep7+YAeWTBafSy7sRKjlhFDNAgn37F9u7qhvrDnDrNCj/ DadmyAq0d6P7rWrrnyjKj9wTRN1YN9TOt+/Y6k0iy7/iiaAQAX0v1fE/1iSS +H5tYW4jIJR+/MaOQyQSL6s8YxkTMFv0vGXVHhKnH/4s9vUh4CH77V2WColF X9KcBuIJ+Gr5N9G2kmjLT6n49I1ARc508/Z/SNRUkApPBwgkTuXYK6mSyBtV NPLlp/43r6nslNcmMVAibxorRcO+V7QquyMkNA+orXTdToNFqAXWW5IQjFBa lQAaZiS5Jp+dSMwLRZ8gDtDwQjN9eOYqiQsL7R6/p3ytOlF/xu82NV+VuXe1 jtAgmF+0jvOURPSY/EDZQRquzWw5NvWSxH5hv5BQPRr8+3Ut9n8gIWnFm8XW pIFr/Gd5TD6J5I3OLO0dNMy7WsnEVZKINQyXTpKjwVwv0uVdM8XHrTHWTJwG oaJGrUcECfOdWvZ/KD0/8vXVN/eSoOnUTG6bIBAtuv+J1yCJ8TN6+bd7CciK zhVdGyax9Fm1SlAzgfue75fMDpGQsnQOrC4moP6zovdMP1W/WolzHz8SuCDz WVKJJOF/J2Z3bQIBi8VqnrNtJOJuhh/yjiHAx/742qeWhMWS/4g2hBGw9Xi9 +vBXEo19YZeLnhAo9lC7JZRLQrY8c838UwLzcanqxyi9KdumMxWiCASeV5UL SqLqzZ9g+SmOwKq7Iw1r40kot74IW5BMgN0ltOsl5RdJ8cjgok8Ect1nH54J I3GceHx+aSEBKdbhjWZPSLyK65MVqSSQsExsuyuFzco+xEs2EXiSXTpuRu03 3FjwKbqLQK2m8vi3SBJLOkfsFJgE0n6eaDCIJVFIe3TtUT+l/+/0YskXJG6M nkh0puZnxHiv8/pEio9jDlNsiIDWKTWHTSkkTL+t1X9NxVVECrYIvidRenVT jQblr8al9vVvKH0eozouE1S9FZMYO/vTSUyWWMzwUuetfBmd4ZdF3RdLV1wv p1F+D97L/zKHxJufvBHaFD8Zz8IfOlS9vsoZ24W0EXjjKLffKo9Ejm7yFoLS E+s09mGCwsGZ+sf31xNILy2WXEH5Jcfxqt9gDQEFPttVN6n44xyGSm8FAaWP q0J1qXxjuyvU46l5sBSNrvemzmvflGykUUrgovA3AWOKj5K3VEIe1X/DLyGq vyi+lvZF07IUrrCiXYj6SMLbYVGwDYVzJkY/6FD6LkeVmBMU3vw5tvFXKomT Ql9jQ0sI/BfXHehi "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3k4Vevbx9ExlI4kSpIxSXVSZMjQFyGEFCqpkCgN6qgoikiljgyVuRQy ZJ4zHTKEDJnnvffa2zxuZNo6yrve3/PPuj7XPaznuu/v/TxrSV68edKBg42N bS87G9v/P+tyFYrcJRfBbvxB7lzgIoJ+7ztjdGARhWHl6xuOLmJrk/H9XttF TJ/0kRBxXYAef85HD9KPUejDP5oxjxrbE65sBYto2hf6bIpnHvHP6+xKiUXo Ly08tnSaQ7nHpqoMriW46myOeNj8A6qDJ8q/711CW9X2tA7NH8i+0aIndHIJ 5695BVAzZ8H3dJ7roesS0jT29EnJzaKmQss2LXAJ1zUD7u1qmMHGx6HElaQl TPtdnnH7ewZpYfmiaV+W4FN5iP5DeAaCSUWxbt1LcE58oPXTdxrsko9mvk4v wbJGS2y5jwnV7XKpHnNLmFGMX91czkTMOXmRfUtLWGQxbpskMOHr1ahC/bkE o9QOw7f/MMEmBY7nv5fgR5c9seZvJq6GLzUOk2w6oVFq7cyEyl8ywbqrS/C1 KLySe42J23I1x2JJvjIZZPanExMBuxd2tpBs+LulrfAyme9/iwXH/y0mjmvM du8j2SbAelnAgQmzstKM8ySr+cVEldkzcWxho1UxyRY69b+F7Zjwk+9YFmZn 4afb7vcuF5iIy+d+5UpyKE/OgwZrJr4dM0sV5WSh/16d5jltJtpv/bxaxsOC qtvOjDWyTLR4Hqq/sJ6Fzl2+sRXrmRgg1Ot+bmChIO2/sfAfU/hS6H3WRZYF sZgrcaYGU2gMP6BnfpiFtgbF4oqYSagErBpGWrAwMHUJtb8nwKop36Z7lQW2 PCV/JZsJGDOotiZeLEgF7xAZrBiHQVxi8tg7Fh7dDzquRhmDq+nOUI5iFiJj /S8eWRmF5Nzq6j+dLBi9fPQiSmoU9du2R92fYSFi9MPRcdMRrFk6/rOUZxlG Xfy7GY+Gkct2PfK4+DLG4+N61QqGsD1Yws5HfRm94suGaqmD0B9vGIHFMqx2 /PX77qcBCGTdKLnstIzfdqzABxn9eFFvx9vrvoysuka52X8ZsPvdyHLzW4b8 VN6CXzsdXSWP1+x4tYzONvmAjcMEDnsStyrCliG7btvYEwUaKubz5ELDSfvL xB/sA31gikq7tAYtw+XVXt6nWT344T0jpv9oGZa1fOtq33Xh4IbBvGbHZXhk 6lJjEztAs8nZ7aBL+rsJvFnT1AZZi2699VuXwe0qGdy1qRXLdimew4MstKcs nlu52wyvC1Ui72JYMMu8IaX7oRFCY/PutmT9u/OW1doj6tAUc6em4tcSThlv CPyvswZd5UX1d6OXoCvzqOy25Vd45ib266kswUrxLw07gUq8vcsZsunbIlin y1Ts15XDxNbj7waLRVz+5/7Js7dL8WsoIN++bwGa3XWfjFWL8cHQ2ab+/ALs sth1tlgXoO50IA+TMo/KHK8UibY8qPhmLX+ymke7t5PVYlgOLjga3mtsnwMl Jn/zg5gsaD1LtRE8Pgd/9fReseYMdBX7ij55/wOfGPO6vJMpmKfF8DJmZvH+ tWmiSHwSPK969SjrziKlTLD3Un885tXMzfPzZ9D2JGd750Qc2r+GdQftmcGy 769TziqxuLHjsIe8/jRSlAriNpV8gNwFfdnN6kxQ6CVlgwPR4PhwYouq8hTu 2BQ/S/74FjlJ7uo0lUlcLnKfZ8uIBK3p4IK61gRcWH7K4svhUJKYWeVgjiFN +OU6hYlQnA4w9Hv/aRRDWVdSC1RDMLRHwHDD7REk7zYvU2h9jQi+sP69RsOY Kg/S1k15hZSVyNaCfUOw2rX74MaiYGQ8D3xkKzGIhX62qOLFINzk5yqrFBuA 9LCFyq+zQeA1rPKt5uiHtruNn0lsIBwtV3eVLdIhcGtEYIkIQMhxD8HZOQJK KcbWnx0CEG9y7aHbFhqsYmuMs/YGIDT2xlD8KQpmm1+mLcoHINHJc3pzZi+i agKrD1wPwErzVhdnqR7sjypwcSDz/d1l6W6d2gVRR2XHUr9A1L54ZzFd34F6 ucPsio5BsDRbaZoTaMc2J7pegWYwvGUN2Jw9W/GgfNvlI6avUKP0ggjhbUHZ 5iq/3LevoZ+dXp98swncJ4o+P5APwRfO8vKX7I24xCgRzOILQ/Od6QSH2jp0 2NakyelGwHasTWzbl1rkUew1k/uiECM362xmWA0N7tA9CtwfEHkxoGmPaBWu NC279EbGQpfripLSgQpY717RjCiPR732wv0a7y+IsFo5IBbxCR0J8w6LG0rB fvXZv9d10/FxzyUVmYfFMPdTG+BdzIIqUSHeqF2IqJ9us3w2eaifLZb9ZPkZ XlJPaCGuhbDj3E6xzsqDR8qKj+fpUkjI9TccN83Fg0j5dHu+CnDqn8iN3JkD Ds5dKgU3v2Lf8i+d75eysfA6/5b+3VqolB152FSehRt++y34W+thFPNE66p6 FvgpUj7rnjXh+pFi48CmTFj31QepfGtB50mDtSceZKI8Mmdd7BI5/8sGigxk IuJCtuQzo07wf/O5GSiciSaW+qWB4m70X8lzrf0jEw8mtzD4dfvAcZorT5Qj E1sUuP/Tt6NCds5dt3FdJo6VWUs4+hDwYLz6KiuWCUWTDM3pZjqov218nqpn 4uhX2Q5BKgOGCeVHzS5m4qDB2TfsA/2Y8YmXZwVnYrPQ54cm9AGotl00//Ut E5nOci+I1kH8OHD72vjaLGTNWpmtkOet58K8teWJLNTrFAqYBg/DK2Moi/Y+ C9ZvXC8Mnx1BUpqF4IGFLHBnNnOoCY0i7pVmGtuJbHi0MoOEv4zikETky3U5 2bCX9az6YD2GgXe0DYLbcqDVnaegODoG843m/3Kn5qAh+qNj9Itx5AeEtvnr 50JLY5hTcPMEPvi9SrAcz4WelMELX/8JHLGyFpQJy0M67wWV39MToO/Jjmww zodXdP1IoM4k1mxVDt3N+xnR8e/UDz6dxAU/8eRdrZ8xJ5T4R1XJJLJMDcyK YgpgvmODJ3NkEpEjcWJG8YVoK2OTyeGbgstp64+SeUVIOyEbFyg3hfTCTfYW LcVYLDoZcl1tCtGX7uix/SzBWe7cnH6dKZjkqKUcky+F4EMBDV3dKbheC0i1 /7sMuyvxLgFTyGuN19O0/YIsqknihNIUAuqtdtjzleNAMVv/N9kphH9vSUFl OcZSqultQlPoOi2fPe1ZAffIwQBPtikIny4QCtKuRIgB8Xjn6CR8VqWubD1U hSN/eszmVk/i3MnzCefVv6JA7WP9a/K+7jivcOGFQTU8/4jM4b0/CXEB/rQa 2xpUL2aHHjeZRNCBwHRl31owi9yyvMUmUXZdoG86+xu0Wnfd/zw5AaVM95Ps U3U4aSKTuvJ5ApbiiqX2Sg04u4e/t9VrAtpC4coGzxvB+S7tTrruBMAwjA8e /Q5aUMPzF1wTUBCX3+gn14whD15vm6/jqE7ts8RgMyr8W5R2eI9jr8hDe62P LeiSSR77fmgc+1qS15o5teKP3iGRU9NjuLlzS94blzZo3S478NtvDBaW03cP PW7H+hfu22W3j4H3ttF/hyM7oF1TcqIuZRR1Xwtyb+Z3wr5WvWji4ChU9+pK nevsQtCWvXfeFoxgsPrNn2dY3eAtEYr6pTyCJ9K/+O6L9ELg0BeJI5nDIHiG v4eq9cEr4c+k/B3D4FTj9zYhz1cVb3fjojdDqE8P2b7mGhUS+nLK9WxDEI7z 5+owpCGas/7W3seDEB8L/ldZgkDyO0Zr/JpBeK9utHeZJLAkZPQ+w2cA6muF mZdP0aE4rWTSwjaASYcx4nsGHaqvNsjEePZj3eHQL+/YGXj3QtO+coWB0omE zPUWDIxd4xQTv8aA/7UFydZIBtLjdvV09tER6z0WJ97BQHQVYy+3GR0+/Y2f z5H3iYCaIF9iMAF1yQGe/VL9GHa8tVgaQMMdY26/pwf7ESAWLRgYQcWS9cLn sEP9UDtm/1gxlwIfxRiNtYr94E99c3N8tg96HsznjmS8qNCVzHb0YVw10+Ie Tz+qusashd/34p70nPH+YQYcB9Ick/h70ajt8jymhIG1D6kc2iE9uLVB9PuS PwNGwuEhDn/1gEfQVsP5DAPi37jW2vZ0w4TeztKTYCCc87m8dkQ3nFWeGP47 REf+Hjcq43o3sh57hHEn01Ehv+PyoHk3bkXrxOg705FpHaeTb0LGX93D+0SR DvuDW1OCrbqR61z2+dICATP+XXpert2osXp8McmCQDBz3nm6rBt8UVnhHF9p YKsTSBvZ1YOzE2H12+xoWDnLMWcd2AOXrdL1x3lpeNZ6S2fPml7ccZ3zOl5F hZaMSMDqo144ifvvdPCnwlRb8z87zj6os568e2RPRRqPxM02/z7QcsTeHzGk QnGjj8vIJgqcD/xT+acmFT879p21CaPgk9nYZ+7DVBx2Ki86IkiFt/S18L+O UbHeXVzi5zMqlI676p4h87n3zP5jOUPFRSeNIr0nVKRe/d384RgNbt4STz9k UFH20T86NpwGf7efjlwMKhR2n0yP6qThvr+5AZ8wDSliKlxanARG1kkUmJjT kGfI4Zu6g4CC6u7l88E0TGy3XrFSIpDy3utG7yQNZS3l0sIkm/4iOmdVCFQW eBtZSBLg4uZy5r1NYIe7SwudzCdwQ6v8egqBl41PzF4zaOg221K5n07g/bmP c5V5NEgLty/p89Ah0mMe2/qYhk3/3bk/uZ2O/uCgJAkTGqpunXUlA+C55a7o uk00nFb1CArToqOXsGyld1IxIy65qmdC8h92j0ZIfYq3VHSwWdHB7hYoxzSi 4mS46z59GzoMb9+2Z1+lINVnP4eJLR0qglt5tQooaHib2+t2jg6LDUd33blH QbmI4x1TCzpK1mSvrtem4MWzk9yuBnRsU20N30b2p2cXX3bSIToSj0ikn5ju w9j5o46EHB1Jmxzt7Lv6oCo9/6BNmNSfQ5x1UG0ffHjOruzgpqP6ccL1kIo+ dI6mz3SOE/jKfyZ5vqoPBnfy/e1rCahAVWHlex+cvkWrDSWS+vPKXf+dIONF VI/tfUHg6kUNdqfFPkiWXxq5e5OA+MJKsoIABX++dTNqPkPWt3T9s4gDFNhf Z9N/o09+/+XzG5w3p2BVJ0R2RpVAxMsGax1XCmS4Z33G5QkUKz6kbougQERm C+Gwh8An20WX9iIKjq29xyNDcqvNwJe7vRRwpJx6/X0fgV7dtWK7lij4T3Vs 6zzZ905p13gjfirklIn+zVoEjk1VDNvIUOEUaXwh1ZiA0NHGSiFlKu5qfF0j bU2g/8yUqa4OFVwX5uaGrxJgtv02miB1L3nwpJGjBwFBjcKAfSZULCfs4xPy J9Cn9jHohDEVt5s5c2+9JVDgMWyTfZSKLPFNUmtSCbQ4GhhWgYpag/2j9DIC z7zfhszJU6G/XoXi0UzAcTz5lrQoFeecfMyUqAROrVF+OcNJRQrXy8zCIfJ9 zxtOTTApUJ17OvVrjEDi6IEEn24Kzuwz7FQl+7NoVd/8o5ICa6V7bD3kf52C 96/QQ9kU5CTMH75H6lfK+lkq30cKiraeqyN6CYRo5N3/9paC1xTXDI928hyt zI29QM6v1t3xQ36NBG5oIabpNQX5K8pc2tUEcg+uiG58RUFo8hZ7opTAJu2G netJtvWzGgn/TCBGozr+PekfkLRwODqTAMHxcD4mlILEBFGX70kEOAfNa8ej KNB27KgfjyH7Pc0pkhBLgegyMSBF1utHnJ6HczIF6x84JYeGEfh4em6eQu6/ 7XBP4qk3BBialtovi0k9SFm2XHpFoEryW4BkFQUtDmf68sh74FSnqpR5IwWm xxXP+pJ2tulyW/8OCnSktrhFk/EvZ868fkChwJ2nl6OGzF+yd0VokkFBScOp 9MIoAg76e1+WDFFwenOxjPwHAvPCcnUjI6QezVJ7fOMJcJtXW9wZpaCW2La1 NpnUv+p41G7SfjBmZ8vHDAKPPiWVnRqkoElVTborh8CrFfcjlnQKthm+G/qL rE8L2xmxf/rI+ZU43v2lgMBtUZXfdmT/cpJN6hwKCbT5KqRWd1KQ8DZO+gfJ NZWMZ7vJ/f8f4vt5eA== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFV3c8lu37FklIZnqliJCkIb1ldhBKvRkpDaUhJTMRDXnzppIRsjKy50P2 KrJ3ZkjG/Tz3Y8t4Khll/p7vX7/7j/v6HJ/rvI/7XNd5XqeE2R2jm6wsLCxK a1hY/rd+dLZlvlk0nhbr8avLtcInN6hpoGwVwpLPrdg3NCGPc4A15d4qHmSo 6dcIN2DSnbv21fZVJDY1tliY1WLuEJfotuoVfLytrzw1WQV2ESHB+asrMHsa cqk2twKjbYK722aW0Xz51doaizI0pVK7rNyXYZg7QfHuKMYs+7ybp8gyDp5Q dt439x4REYJP+9OWYLQRi31mBVib7/KETXUJtzET/kkwD3xJEuse1y1iLMRc VJktBxaHNK59Pr0I4ca4sOe7syCuo/X9v94FiGodfOS1MR061D0JWqoL+L7V cemEDgUmQva/R8L/gF3bWy+fIwlw0vWf7/oN9jscci/y4iDXU9pKCv5GVR2r +s7xaLAOynCYSs7Dx6/Y7vPFcGwy+FNn8vcc5KXa43qngyGRb/NnSW8Wtsdj tE44BoBj67dtvLYzkNfTOl5v4IdFr0/tmwN/4Ux1+Lx2uxfSchUXb5dPI26v hp68ggdkvgg2sdb/RDCx1lAmyR0RbsaBw70/cEPEzFCa7oa4fsum8Z/fcZV4 0Kp81RWeX0uqp7QYOBnXs1dz8CGkJnyJVJNJNEvur3ANc4bwoUMTo77jcNJQ +F7Dew8qRguaGuQY3LWoYW82O2BNr92xxoUR7Oub7uD4xx4dHJdkH6oMwyGC U6n6hy3klN8fzVcbBOmfHMWVYg1xtmAhI7t+NGqiuUjJCnU3Wi4qh5DorZa9 xO9kiejBFGWzKALe1ru0KRqW8OUKWrPjSzd2HzLxlvlsiUfHOZX8fL7A0ODv ErqxNQ5JuWk1B3TAWvtiofeEDaSjLhzsrvsMO0OvhI9LdghYWZS03dmGF8LW fzY22kO7W/XmuUvNeFBAG3Ezd4BC51+DwhmfUH3W/+WQ8T347LS6n6NRj9KB aWWtdGew/5QTP8dTi9SRORuay0ME6nxcORxcBeHeEDaPBlfM7Iz15e8uh21o 7nCr7VMoCbjoSR8tQ/bsvGBn+DM8vHZYtYOtBB+mz2feE/WATrbtaP7PIvze YueisOSJO36KQ2HrP0AzzMPT/p9XEPGctPfSKcTeNZ0BpI8/hlSl65oS8xFQ eluTryQA5qdvstWb5yFG/YjoUksQXv2zP1taORf87afDJSXfwF82KCdOIgdc 4lIsVqVhUNtZzMq/LRvlo5tHw9+9hbFNv9k5uSzMyrJ0OsxFQ1HH9ZT8XAae UtcLR16PReLFJcPM1HSIdj7a9WcsDlE8ybh69x3GeHfqygclgGXV5rH9iTQU 29QvnbiVhF9HV/MlDqRCWvHsyQizFDhHKNxl402Fg9Mf51/JKbj/eK//rkkK 8veGqQoyUvDF2D8zsIGCUTGtxKWDFNilsttqJlNwNbO1MvsxUy7rt1tXPAUr LMsVY+4UvNb+oWETQ4HPRY82CW8Kii063rFGUmDdO8+4HEBBaslHHv0ICtY1 qrAuBlMQHva/5//X/0Iq9EbeULCQ7vDwMPO71scUecUQCvifyVO/MHltMn+g mckTPeP+TjCFgh0nt6xY+FFwymjU+0wmBcEePBZsPhQIOpEuwQUUdLdLblOx okC6tZcWvkqB7pNY8VxdCs4YyfLcPZGKZRPw2u2kgLclXGJLUCqI3O8+Vuso CIzcpx5KpkLS/vqu5eVkvPHQvFLomI7UmH03jdYl41fXJ//rO7KwYadSaIpY EgaHZNcvZGSjKvecvu6xREwMp2Rdu5qL0IGOcvfHCRAZ0R61OZyPjXeW5QrK 4yGgUqC1QaUQ2cphAcoK8ZDRfZQjxfIBJn73WYxT4xC36WTpiZEi/JzluVi0 Ow41F174izE+4nKA8Gux/Fh8VDG8rSFSBhXWKVflY7EI7K+lxOSVo+nmfDlP ewwChDmeBotUIk9tyX7hVgz0ZqdiZ99UYV04x5P4tTHwLBW0SdlfAz65xi/X jKNx3rBV4N5QLQwqz7KHZkfhxnzGm9ncejxyL7uouy0KboLS9aHRn8Alxp1V eDkSd2YP2gymNYOjXXt7R9FbuGN4kPGoDVsbDfdmGbxFKu3tiw99n2GRUlgf OhuBBxMjcQb6HUhyXSdTnBaBRFm1nKDPneDmK96ofzcCpbsubREx78Kdk00V /joRaA160C26thsa6h5S33ZHYAufu/zCzR70K2V1PRCNwOTeozssW3qRrKO4 ShOMwMrm1k9LqgS207wrS4UisENRO/lAOhULz59ol22LwM+8p233t5P4c21T ivfeCLTYf+vefJIONFkr2P0TAZc06XJFiX4kDW2Z/sHUZ39oIbf2XD+4Gtl4 4mMjUMWWZiRYP4Dl9m3FW3ojUHao7PW/wYPoLV2Un93yFhZ/zYq5mA6hUUfk ZteNt2jfcPyJqPgwQlfPcFvmvUWN7Nn5gJ5hvLS9qHJlQyQcNojUHvYZwZEL U8dtrSPBoSHN++zQKJ6fSjL9ORaJlXrH1+TCKHh2FKkctY+Cb0JoTXn2GE5w yraVDkaBvamcu0jlG3xPFq7dbhqNO1Uh8d+LvkHXZ/cPNSIappxium4HxlFl G/rgwf4YlBeFL0XGjiNtWu3DK6cYKBkSMV7rJxB2iafboCQGP/tLKoIsJiAf ZYgcjlio3GsIFiqbwMQXq2u6zrHgDFOrDts3ic3qB4bXjcfi/MVfuakBk/hy U7igxywOO0T/GNp/m4TE5oNKOfQ4nHLS8Ob7ewp8ug/bXtyIx3WPyCPJzlM4 fuvMXaOJePhODKhpZk5BWSjrgNCDBEzvbRbrIaegp2CidPpUIg4pbI8uEWEg eusza47dSShTVbmvcJzZ99axyV4USoZX+NiQrhUDp2uCLO+tT0HzzKR+7TMG fOVbHF5zULDJ9WOkZCgDqwwi7Sd/KiS6HquGJDLwQexbAm1nGkT+HtaVzGCg LuGjNuXEOxTwXOAIy2Ggz7hakHI/Hec5Tt1PzGWAr21djGpOBk4fPrS2PZuB AZaXf6r+ZKLtyvAu33QGZB45VbjWZ0Eo+sLXOib/f1GGTycjs2FpPNboFsGA 7u/dzr6uORh0i1QT8GNA/2j0uzqLXCRtKpkrdWPg4b6N2auX82A5c0ztvT0D Lrvc98ea5mND/f5AiasMtMrLR4tYFcDjo22Z4CkGxHW5+7qfFjL79rBA9GEG gtwEGgxT3uPtAag0SzCQ/tF1fKb3A37rX4qL42KgllNpTFm0GHu1XV+JT09B oGKzQLDlR0i5NIxrdE9h39hMq0ttCWy5E5ZZSqYg8fL4X5qPyuAptiSSEj6F jVEljnxx5TDV9y1VY8ZP+LfGVduACvzdsMMlzWAKXr9ftAT6VuL43+WRNJkp RGVnfuoLqcLiXH5C6eIklONMX75Jq8bPSamoAy2TKKSznBMvrwHj0F86J2Im cZvjwZqX9FrcMHSK+HNnEo671KRYeerh13k8aLf6JEJ2hvrl6jRAuGRXZy3H JE65/XU/3+sT5I6Xjea0TqCc2m8vQDRCVbPI9WvQBCLO//BuNmmGeZZrufrp CRTvu6YkPtYCXWyN2sw1gdlzzWyDmm3YULBpj24Z83x05iVnCH/G41Rv5zz7 cZQv8dnIT39GFreugLbYOPj9Phxg6WzH0j7Prv66b2A/GHiRZ0cnNqUIRvlp f0NwOP/qs8dfwEmV12x7P4ZBeW36bloXTO0XuKOkxnCu91m1mk43/AWapoVe jsJWStupRrcHp7TdbYMFRuGXc/T23D+9mA2qGRMIG4Fci466ql4fak3W9FaL jsDWf8dyz0kCWvIZxHT4MA4I0VTnjlJBfbNHcE54GGl1sXPBijQoGfRcV/Ef wm1h2VMpW0i8FBS4CY4hOE2zHNk4R+Iwg40l7PEgHEP8q9qv07H+lZL19x8D 0DnyqiS1nI4//BWxK+YDkPdq7vMV7scbzw7+4J5+mKSaSwSa9eND9UaX1wb9 CPp6/chYfD+2i+/4TtbRkd62j3uIKaeYvOG3kxYdJ0P2e3KuHcDGr69/Rrwg 8bvGheCVHECUbEJ/lT+NOQ8YC1YrDMBC40X59WYq6iqWLESVB6Dh3XsuXpCK AxWnB04qDSCJY4r+wpyARkpzfcK+AYin8RbMlfdh060c9TfiA1gciEmo2dUH E5VtM5T1A0g0FKCnRfdCmrfjddlwP3QDrht0buxFeDJ93rC4H02bXeNyXvfg irOmUrhXPzilSiZaZXvgmNkRMXqWaedZt4T7nd2waGq64S3aj8u0bVLvg7pB coXKdpJ05N4aI25YdsPazvzw2ng6LF4JsAkadcNs2xsb08t0DCZZTOkZdDPn i97V55vpUBZ1vvDoZjeO6TMSptNIqJg3DBAB3WBv1lWeUiBBHGQhTJn35INK FjYrlTS0/Tss7yfXA3+ykyvzGg1V9Wvf5fn14OvOxVHBDTQcpFY3ta7pxXLJ sE9XDRUnlEmVTNdelBQ9ULR/RcVY9/tT6qx9cEyXVpAwp0KKd9J42rMPVhXy Wj4nqChUEku8xE9gXmefIr86FbNxB2QPBhPgpVxQ7mZiVTnvPf8KUPHLTfku cZKKS+totmEvqMx55pferBkVjvqWzWe+U7FHsZKHfMbEO76P/zpJAzVww8xw NhVngiZi9r+lYaFRbU/ZCBVXBB0yPQka3laLO5dI0PAf7x/RTG4Sv/6Z8zxw nYba1kiJjl0k9KTPdjnF0/DlslFl6GESWzpj28ZHaGC3luxkOUSCN7l5PYcc iWSH2YVzMiQuJt9mv2BNMufFxx7iXCQkpBwyzXJJjH0XHE7ro0GdUyf6zCwJ c7rlJ51YGjoKLuc0MuPhm6Gs32JKA/8Tvp/O++l4O1LxRFKIhoY9AQ5K2nSI dC2PcNRRkVPSzNpkRMcag3NHtz6kot4oirKVGd/ALqeFOnkqnj07f0zrGh3W qbI8ikME5Dg3LfAysWPSqiiRQSCk/Ot5VlM6CmyeSTe5EnhvOCh/8TwdusZO L1NPE9gZVrxgakAHe7rihWU5AlI23ElmOnRoNOl8l+Ui8CbyGleZMh0BdvPs 9t/7AON2jxZ5Oli6rx+f6e2DjNDtmCkxOtK2WN0obOpD0epk4X0+OhK77ULf Vvcx+73bupo1dKy7+jHTqrIPuT0r8T00pp8Nb/V71/XBedNgQWQxia/vrgq8 6+xD/LDUv0Q4CbH1J/ZUjPVh//OxVTtXEinnZKYiWAl8tk1SWblBwpXLue7X dgKlqZbXWA2Y/r/y30HHo8z8uRJCVh0h0fWDrb/qJoGk12eFvA+QiGQzz5zx ITAm66PIKU/iyDfJUYVcAinvNzTMMOPJfzJaSegrAT37m4rde0mcvrOiYjNP YLPQ4qUtzDz409DKcZJZD0ae2CZxaDHz4F833TVyTDzO29B7msm/9LVtlyoV nfpc52rMSBQ9spSJPEaF9JNPFfP3SPi62tjfPUVFg6poWYoHiTUmmhbTTFzs uY2siSZhrXM4z4Apz5cgt7iST4Kvecq9UImKuSVTJ4kGEi03jmUQ0lQ4iwnf 0e8m4WcXExXAS0WimrsEyyCJvbtN6GlMfasmdQ9yfiOh/rhiM5UkQNngfcV3 nETGrGVXYgMB41p1g8VREnd/r9mPAgKBajGzZkMk0L8n1DONgI5jSroHSaJy XGo6NI5AAVtid2IPCS6eOR6vCALWkUbZS+0kpFc8laxCCPxFCT7c1Mjcv7XA pRRIIHfm32Nnqkl47pB9OvSawCZpv67mjyQahmUtzwYQGGFl2yqRR0L0fsXT ySACk1G73Vnfkbgwb6L0KIyAoLxKbkECiYQ1I35x0QSaQ3wCHKNI1G5Ue8Wa TIDjXo3f1TASNbODDYqZBJ5RKsNfBzP7y/bKlrZCAq9Nbj0cCGD6b2uRxaUK AjJ+9UcqXpNonFX77fqJQNYHZ2tB5n6aoLhFRzuBlb2VOZmBJEpLbgVy9RK4 ljJqfz2ERLaLg9oY039yp5OPTTL/t9U+Lek483xtM3qfw8vUJ+5ulMCWUQLU quXHXnHM+nlUd//NMaY9Tbc6tiWTWFVMLNFg4m8m1Yt+zHobOrvVo2OEgIJX zIuMTKY9lz1YDJl83PH6swbMepHZnfXuB51AocIbVp4CEp1tATI3qATqnZ7d V3tP4v4/loXPewgcbj4e8+UDiR6LG/eefyHg8PaHUVcRiZ0Uk3SfzwSGDWLv HmWep0XTIwEVzQT4fE+r7GDivXdaxXWY9j+vvH7bjimfe1spd7CWgE+w3YbD TL5hxYV08WoC/wcy5bcg "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1nk4VlsXAHAKKRHJkKkyJDJXkuGuWyRJSZkypYQrDSKJNIkUKWUmSmYy lQpFpkQpmYf3TF4ZLlIyllu+1ffH+7zP79l7n73W3mvvc9YdPX3AdREHB8cw /v78O94r/Wlq0Qa3zAZVHO7MQNrg7qGsmDYolHJPqxqYhshWifS5wTbwTsoR LFSdhjbtMzKxJu0Q27sxO85tCpYLmuhvyWmH1toBmfhnkzA3sZXq5+0Aqcx5 bzGxSUh78SVwaWAHdCm/b1Xz/A41Xy8vnvjSAfE6xmzL1gkQuP9hNtepE8Jb BY7b7p6AjbV7zdMHOyG1Z9pLouQb3FnEfYbnZBcwSs4fJdS/wcWgXyF9E11Q wbNtr9Dpr6CTKihcE9MNhhlDfG4u45AuLaxxdGsPyJwlX//y+QLmwQlfGzp7 wPNTFFd60hgw2S4rZ3x6Ie9LUp9J5yg83cC31FGNBWFm6U6av0ZA7pbkWvcB FjRHhM2kaY9A7ZuohIp6AlbqUo1fLf6Fv6T7i1QfkdDOUZay9MowWCyR1Tb2 oyDYW2mzYMUQsO0v+FzbScPdNcYSojxD8Mi/7LaaBAOxyo/yNbUHoXHOtDgj nIG0Dv+cjDMDYPJPhHWnYB/wN3bcyA39DCPL5dmBYX1we4P/v6E5/TArmLzO dbYPHC6EDgR1sGH9VpEYD2s2KIsMWOUsY8Md21DzoEw22GbyKt436YNfxZbf 2gbZwGek2uJ+hwHfoZaJCtF++A7Nbu8raRDgNzs5tKUfkpskDI29KVAV8L7E NuqHX2Al4iNGAseClKUr9MM+0+Z7ed0sEPa9aO67vh/SjnMFj7zohcZxCaeU eTbYSUfsmH3eA+vcP8T0V7EhPnny2a6ubgjO1aWzzrNBYExG+cvqbpCdu8d9 V4END00nf4Zd7gJxryLRf971wXhPyEor3i646m5uPeLdB2aGJUsOlneCnYyi sdTqPogY3run8kYnBPv8UBuuZKD1qp8l27sTpOOuJPG7MVDpHZny3q8TqoyO XlwtyEDIFasek9hOKDQ5x1cbSMP8jlHbkaZOOK3XNsX1mYJ9Zw+2cEh0weJr JUnVNhTkaKrtTLrQBSrFC3n+ZST4PhfOGBHqBlOTwy/PbSKhqllyVXlVN1wn LTVufiLgoqk8IXGqB34rfbLVCSLAcYyVrbW+F2KDM1INTQhwfrbPw/pzLygP P/jOL0vAMYXaxOY0Fuxc7XKrQIAAPXL/Lh5nAvxdrUU4+AkIbpl9l7eKhHWv GsrzJQk447RGjF1Bgk3u0tN/bSMARmYf29tSIBlV6yZzjABj2invTB8FJbYr l2YlEhCRK/JezYaG6LGBuwosAuS1sh6al9JQGuWQy8iR8NchlW6pRQzIuamA tA8JjpyuH32lGXAsrWqVfUvCOf6ngWfVGPAOKogAGQpEvmgK3NvCQPO3g9pN 5yjIChgf89nEgJ+11gvpegpSC4dirJUZ4JxZfGTzKhqUaoaE+SUZSK/PWuBy pqG6SELXkIeBA42PC2Kyadh3pa7KpocG2R1GFzm+0LC1w3XiZzIN3IVGQnqi DDQkymlQ9jRsCo/Vqd/IwP7KCIM6RRqsToSuyAEG7ho85bKeoGCjT9buBgsG 3B/lOsuUUdAoU7mC/ygDl06Ynku/TMHw9x8irl4MSB5TVvXcScHRdOXAQW8G dv/nbLhXlwJDZcdAK18Gnhj3damqU+A548D9xA/HdytV88tToOGatuQ/fwbm nk61fhGnoHZB4P6WAAZ0bnitbBGjQCh+gOM0mvdjlmWJKNYNLaedjZ6T/ZQQ J0LB1utEXR36t6GiwVL0hVUFu/rQ//9bRUHGg8PFv9CTvwsixoQp4J9VWiFx gYG+RfO6TuhKoa9PDqAdeD3itq+kQPyssGI4ur00eVZeiILmxdGeteiTJz7a 8wpSMHRipmf0IgPqnj57R7ko2P6fxkPOKwyouax58ukHCY2lrBKuIGxv47cu Gyfh+npZwelruG815lyZ/SQURnfknLrFgJNdrqdfPgn6t8LT1kUxYCK7eaX4 eRLUlS7NC8YzIGCqe5c0JKH+pImmYRIDy/katokLkRCf9Ea75j4DpvvPvVnJ YN2eujOpgvbglpRXTCWgQfvvmCocv6zTKPCKGwEcKntuF95joG7xbotHGlj3 JjkWm8MYKDs0unZ+gQXE9Z7ZO5cZuGpNcn5uZ4G3Q0AHrw8DLs7Lwh8WsiCi /B+nD4cZEFRpm5cLZUHDbffkE6ZY1w+Vix56sGBbZuzzB1in3p/gNa8NCxTm zawkpRjQWydErTBngb34zdQwLgZS4iVb1C1YEFWetUKURcOWJovBfAcWnHZY 0WxRSIN9xBavVC8WvNJcbl9+nYZyx4Mb58NZsD+7PEPsKA27zuzzjshnQb2i qR3PDhq+eUaIiGC8JeHJ47Praejcr5Cy4zcLngXJjW0SoqFI99yzWmUCFD0V Nvdy0BDi/87ZzJaAG8Q09+A07tta55cPQgjI6bK/p/mNguRLYay4YgIMFvTG /b/i+8RKPkEFz3XzlU8GLpMUZO5KmD/PSYKY8Y+5wHkKTvl6Kb/Gc66a1Kpl soyGJdx/GejvIiHlvfeaMGkazKcSPqm74D32UotDazMNuk2pAwZ+JLiWfdVS 2ksD2fbZwvkaCccnpcoc3LF/pjyLDCVBIvJy25urNNwOOOQIISQklTSlnkmi 4ZrcsquGgSS0nB3KDn2K/e3O/mo5SYJkpKaseSPeO0x3y7gdCQeOp85qETQE cgYLFRiR8JHcfhXG8dyH6RUFKJLwnFMpZvM8nnu3uOM0LwltSUafz3Ey0EJZ cwSPELC7wpzrLd5bb104jzMfCJBOLMp/ie1C1unaGiUEeC2fGoFfNLSVlwx6 pBBgntejmDFJA2QX6epGEKBOE+MXh2hoummlv/gqAQf3Zic9xnvo9fGbtZQ/ AZmNN/uF3tOgf6l9ZbofAbZLk1VlX2M+EYJDm7D9zvWGllTM7+w2j4QLFwmY b5HgGcP77Mmr4ArJYAKoyvB5swc0+DbbHcy+RUCVV2cURxzmy+1zJj+WgOmF wy2akTQMXBomnuJ5cOf5OvQzjAbWIy3PnfkE1Kv1sl1Daeh4Zs81UUqAqUbj m5MhNOyt/LxhXx0BGnUqqzjQFd4RzMJHAnTrorl5sB7tyOvOdDcB39ZXTdjd oCHG4PyD83147/92+d4UTkNa2N9SicMEyH5uT5DH+XvXRC6THydANGnKUjGG hnilLvaS77i+0wZPEhJpMCyesNs1RYDY9uCPJx7S8OGjjuB3tKiI+k39TBqk RCViBdHvvMhtrXk0eGoFkB8nsH+FnMLvIhomU95MHsHnl7aIpcU/w/XyDdXk /rN/IqXsoDKsL+kdPrOfCeApvRYS+ooGlW82R8toApR740qb8Dvkx46Mnaa9 BETW1X7fV0XD/bXeVmQ7AW6/LeKEqml4p6BkmdpMwO2DUsYyaP67MYdfv8P1 yvVYFIz9gwUkl9vhd5mgKN/MJD5PbYlIUUE1ATTr6d85OF/vsMch8UoC7OuP VXViPAHutptzXxKQ0vlYqfg5Da6+fO2u5RiPgefiE7jfwhHRU/pofZOwJVsx P4WsRkIY+z835Dbsf4z5cI3V8FTg/kQec+DNxfN03qbm3WsCtibqnG/IokHE NctYvBbfy8tCj2zF9TvobMyRhfFJqt2bssug4fmKzCYtjN/Ec+6YCjrNWqb6 MtZ3olrg9Em0z8wA+0++pX6ZmXNoYZu+OwEtBBi1r1WoxueZDSZbLLQScJmv 499ynO9AJDtRCdfLRsuvrhvrU+8Eb8EMevcbHhd+jG+as8rJvYOAsT3Bvb64 f68kthcGovv4PC17MB8b/9xVG9GjVIvWhgLc30ehR67g+Nh9HXut8D6MqvYV jWjDetBy3GeN6zF6XM/JBee/HsKm5YppcPZXFRLF+KpO7C8vQy9wnG58gfGf 534RKvoE9ys+R8gO69dPfUeuHvrG0+SS5ZjvhHlAngS6u3jB1Oc9AdlH/Eoy cXy0o9kzVVwfv+jxzCmcL+FUsqNZIwFP9W+zJdGm/+hwdjTgd9Az9YlNGF9X nX1aLZp/s3jwAYz/SvUS5eXYX5gmlwbm0zBs/fNtDroou3mhFfMtq7oGl/H5 VtWHXY+gdd4tvDuN8z8ebD+mjD7iVCXu3ITrv3HXwh+/tg2t0cF4vUdfbrVH 65E+3MPoAF5z2zj0oRG6zgTze1MZIsRGjybGLgpDe632yNuC81ffjb6Rh35f +PL2LXR0QfFIAXrbgfzIPnTh91D9OHRI9y/2Doyf2pJUfAgdlFa1IQo9ob/b ZBHaRkS97gPakJPvdxLOH+cUfe8bOiixOkUTffjUxbfz6DyZB6wmjH+DmGrz OHpA+YedJ1rlJvx4j56d2aMph64xoZwS0XfPCrrNYf7C6gMPjqB3JZVqj6JX 6VVxKKEtx+sf/GlX6s3PncF4Z9Yu3SiJ4zUN4yrb0MfmymuN0ORjvfpy9Kkb UevPom/+rAt+jJbR2J+Wjpble26dg+bsO2X5Cu0VkVCTjb667tXrVvT/AE/4 eDc= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.495, 0.44999999999999996`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.515, 0.47}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.47499999999999987`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdQVkmzuM2KOSfWtGDGsKgYFjnqmkVUDKuiqyK6RsyYcw4YwLSKyqqo i6iYM68REYyIknMQkJzMer1V79On6ljf5Xr3+7669/fzL+qpnh66zztnpntm +tSznWY9rlCBAgXaFS9Q4D//Llv4qXnt1aG6MbdX6kaaeypdveyfew5+Jlyu kNfrNZbewkNrL6h4+sJRYfSH9wgPvdH5lujD6MPow+gXOfEm0HrcA9GH0YfR h9H/1aDkpJldn4k+jD6MPoy+ybVqE34eEiT6MPow+jD6BafVH19kQrjow+jD 6MPe8QXDR8ScU15trXEmwTxaGTHVtZ7BE1/h5OxRyTN2PRducDr9l0jvcGH0 B0+q+5Pf3VjRh9GHaa/7paHnKasEaQ/THqZ941rNW2wPTJT2MHLnvNYn541+ Jfzx8c/NRialKjEuZit+nxqoi3D4s0yLsbsVS13fATkLHwnz/GC39SPMW3W4 Jtz6xPqjJco6KVN6msQnZkQqdT3L++x1vSWM3PWjS+bQ5TGKZZXdHa8ufSry df4NdzU6FfxV+5KBh6Z3LBkvcvSRz/Z0T6/n/FI4Yv1p+2I/JEv/WnnPsZdS kw+niH2053nBtD9jrpvyuFm6jBf8ZbzAjBeY56v1Rzt+kPN7wowfrT7jg+cB I2c8wPz+PA8YOeOB5wEjZ3x4bQ6abX3JW2nXadZmxStZWbRl0uJhoxx11eul rGg8+IhSaUBcschxfykXQo+5OXhEKO/6THike/lIWfUs3erh/CSRD13z0XLn xjR5PvwehQ9tM/OtcF05WGNBGeMeqfL/6Q95mkfew9OFUsR/nmfgzY2pha+G Kt17hD6tExmt/LRpT1CX+cE6k5Pug02mT1ecT/g33TTmuXDuo5JLn/d6Knwy avXhjna+wjLf6HmGUV7vJ61vCU948CDmbslzwrwPJRsfuJo+6oqMB5jnZeaw 7XoDq/PCkaEely/N0Il+i3fJwesH3hN9mPZ36sYNd/O9I7znWeZQ+7D7op/S ovArx6tPRB+mvf2az0Papj0SPuiypkmBAv6ifyumfNKQh89FH6Z9aQfHv+LW BQjP7be90f0KgaK/c0ftl3UiQ0Qfpn10o71HT+wJFrYsdLCBk1GYzD+0h5l/ mY+Qw8j5/zDjhfHD+NWOT3hvkQ/OOzc+E24fe7tT30OBwowvLWvnM+Yr3meY /jzrxvQvMiFO2M5x3FYHj3ixl/eB58P6DbMew6yvMOslzPoH83xErh+/2M/8 wfOo+S7xcWJGgsjxF/9g/OH9Y770XqtLWWoZb8F8CTM+YNov85r1cfr4CJlf YdrDzB8w8ymMfTDzqZajzXw8PUZFKyWbhqV7Xg75aj229buxwDYzQUnxsQpw TVLnT7vFT6902OPz1Xq63antsSWNvsxvW+cWMlp/X3k4bophaLNXyqKba27P 6xRoUW5V0Jm0SRuEQwa/Gj3L50/hgNBtj5ZvvyjcycHj2Mim14W3D7SL9U+9 K+zrOuNJp8s+wvvDdNPOlHgi3GFl9/ET7Z8Kz97ycOrCms+Fy5sNsjNd9kK4 Z5fQyV1NQoTjEsfYvt8WKlw7N3FiGYtI4fCHbVvGDIgSfjvwfatXDWOEexy1 OOUdovLYZoXOPvaMEz69rFvz42PjlWOrrLMtp4bJeLoxYO/ssobBSq1ZvTaM DotTSp4uEj77daDydnNTo9+d4kX/YTED03PtXwobDrc8sSVF5bZR5U7vvpUk vLrVQJPZc5KVBU32pNWfHCDxQUZdK7MKPz5RetQ64Oh1Sm3/5+WqLRf3SRFO Lz38+NBPKTLeHnWyuZL0Mln50KvhvoSJjyR+aHekcfPBS24pmVOs+rkcSFFM in06cnLVTaXiirONop+o/ZVyrnVqTECa8LCE0U06rk1XgkZkXate5pDEH623 Lywyv1a8F/EF7WV+0LPMD3qW+UHPMj/oWeYHPTM/sP5WfNR0Ws8v7wty1lsr 49Xmvh0iJT5Bro1PTNcU8n26UP29mV9gbXzSe+iKJ+VLqc9fG580zz5sYfCH +vyITypX2FH2+qFQZdm8HfdG/BCrGLcfZrtoRajS8/3khZXaxCqJC++XKDfw Sx5RZ5RbsFGi4r6us8e8/f5K+zYe7j5LEtXnk5JyODLaXTHtNHbH2AwP8T9n zLh5w0Pdvnoe3V7OzZkXG6X47JvnPrNghJK4NqXs7SbRyqas1Ds74yKUPk3X haT1j1Ku5FTy8o4NVwzrvase0i1amTmvaZ8M6xfK4TfGtrp1CUqW7mbEncEX lFN3zcvULpamTOmXVm5pqpo/vK1/NvT8nR06/v9O/wldR7meUJymDbBafD5N sZ9U/73XQU+Jr7CP3+dgYOI4lyvXlZzKf71sMyhV5KxnxaqWqfl400WJ91iP Sj3d02CtXaqyO7x5uwUPw5SMw/s/12odowyxLVvOr1W4zPeMl4PzLY2b70uX 9Zv53ar0teSJscG6lvc29tQNdrWoXHq+t2E5lR2ana4x7nWAsGeznI5n/Z4L s97TX8V+Jts+nH0q8iCrpCknI58Iz4zqsix9y33h5Cgfn43t/ISJ72DiB/r3 MGo/rbbBbZGbGZ1tsGL0TeE0v+57GtueEY55YN3U9ux5Yd5Xif/0z3t3+W0e fsXPqu+D65B4g7Ab8n5LvKeX56aO9Z979LbwxGIzo/d+9pX2Et/p5QcGLn1k 4PdQuOQF77Sd2/ylvcRzevnhEX3j+75W54OICQEpo76s47SX+E0vX1DOJraq QbDwOcOY5Ebn1fiN9bXypEmTnJODZbxanfTtnlVcZc/Hhfb8nBEg7LDx4PUw /+fC/N70F+QRUr7B1acir5jZIXVV0BPhBOOEZS7L76v9udT3iejuJ8zvDfN7 03+7yB32M6rdFrn770MatrC+KRw0yHHvym5nhN/8UrpJiSfnhZmf6G92U+v0 tZZXZb5wqvl0celAL+E1veftzt5zTzjPv92A08/vCvP8WQ953ts6XJ02aGe0 8KkbS2aNnBIr8yf/33Srj3vtoo+kv1vFS2SN9n0svCTGr/7LD8+ELzUwKdS9 psrM3/Q3pGjOyQ8/BYr8h5vO/vsqBwlfOWCzdJBJmDpfxl61Odsr9Ct/iIex /32lW2nt6qjrQ409q7M658ZLfD2xscfh9JKxyuYuG4se9w+SeDri1rbIRl6B SrhNA6975+Klf9Zz+huX6jO11jF1vVk5a9OMBl/me1lP9es18sfej1MK/qSu P6mWzhkli7+S9hKf6+XtXV9MTrisxne/NtgzLX1LqlLe2bvk1bG3JJ5Hn/Wc 9ofmhyf7dvkyX0eMaH7wlItiULhF+0W26RKf8/xM7do09br0QuJz4u3catU/ Vr8br7j2ehhVy3qHzD8XN3ZoP7fmMmFThw4H+vlFKnWrP75d9nSEYjz8Xv3q E0KUKlMvGJb/HKvMmznhol1wgDK1VzeHHkNfKteaGZvNvPFU6T/5yuL9rxIV ky0Fxrwu460ceWjSdUDiK+VN2fjU2MwHilJ1X+aG6cnyfnV7ltQyecAlHfE8 TDwPE8/D6PvUeRBTvelW0YfRh9GHf7qos2rwPkbWy8c71r4Pq/hSeOrsfsec m7wSLjWw2uDeXdKFn+9OX1bgRKaw8bqBgaGXsoVnzb3Y7OKdXOFb4w1XOT15 LVxhyNKQqWFvhUd3i23ZK/G98KnWPdYa53wU/mx0PPzz589f7RcSP+EPjD8w /sD4A+MPjD8w/sD4A+MPjD8w/sD4A+MP4xV/YPyB8QfGHxh/YPyB8QfGHxh/ YPyB8QfGH+1+K/Eq/sH4B+MfjH8w/sH4B+MfjH8w/sH4B+MfjH8w/mn3i4m3 8RfGXxh/YfyF8RfGXxh/YfyF8RfGXxh/YfyF8RfGXxh/iXfxF8ZfGH9h/IXx F8ZfGH9h/IXxF8ZfGH9h/IXxF8ZfmP2Jc4PqvajbPkP8h/Efxn8Y/2H8h/Ef xn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/yfePFzFeXGm+A/jP4z/MP7D+A/jP4z/ MP7D+A/jP4z/MP7D+A/jP4z/MP7Xbt5ocNFbWeI/jP8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+M/jP8w/sP4/2zP8e1zi+WI/zD+w/gP4z+M/zD+w/gP4z+M /zD+w/gP4z+M/zD+w/gP4/+64i0Cknrniv8w/sP4D+M/jP8w/sP4D+M/jP8w /sP4D+M/jP8w/sP4D+O/xewzlUZsyRP/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH 8R/Gfxj/YfyH8R+OuWfzpnd6lOzXLTti5FaweLwwcvLN2qtfDbhUO0nk18ae /WRvlirc7M/rzysezVD3/7bWM0k7kyX8YOnqFfe9coRrTksKOuybJzzpt74t lr14I3yp7+nVNjHvhEt0rBJmlvZB+FeT+aYV330Sxj/teSn2k79qz4/JD/m9 YfJn8kHyee15Mfkb40n2Z/X7X2VLxeYOC80QvjN3fJsHdbKE58UlzbawyxZu PmDqOc9jOcKx1zOyf0zNFdaOP+3vpc13kDMeYcYjzHiEGY8w4xFmPMKMR5jx CDMetef7xNM8T+IT/GW9hlm/YOZzmPkN5n1n/+Dd2d8qOBnFynnWo/FTytm0 SZTz6DLZyzaVeJKuzHEduOeKf6TsZ5Jfc/7Ffij7q+wftQ11meg5wkPyUZj8 fXrdMNN6nc4Kb56zfGrt9gd17JfRHiafZf8LOYyc/w9jP/u5G3SOh9rlRgsj 3xryq9OJPVFK0MnMt5UKxom80f7B/dNLJwg7OF4+4ls9Udh7Ua2PbsbJwpWn LB+4vGWKsJ1N/F8jzNOEh7kZF/jBOEO44L4hxw2aZAof275uyOsWWcL9N10p GN8mW/jNyhQP/59zhF0X1h56o3OucPdZ/Quf7JEnnDZpxcm9fV8L77Q9N2z9 wDfCFsMTiswd9lY4bkB1T7tR74Q39eptYz3uvXDrzouKdZr8QTis3cnTzWZ8 FF7ZMmqE4dxPwk0bVSxhsPizML+39vfhfWV88T4wvuQ+jv79Zv5ifoMZ35wn 834xfzG/wYx/7mMw3zG/sR7CnJdz34L25E+cn3MfBKY99rMfgP9ae8k/eR7Y x36Zdj/pv3uezHzJ/iXzI8z8CDM/wsyPMPMjzPwIMz/CzI8w8yPM/AiznmnP p90tDk/c/U88n/bdYJPu9F+cT/tfCa3n/dZTBz/otGJLwN0jugYDrttv/obz 2fzOV//u+an2fBR7zc0qVjt0MkM4JvJsQPkSmcIZB3cMqZKt8k7LtpVXWmYJ HylXY+fattnClpevDMzdqvLwRS7P3y7MES7QwML59+cql0+qU2XKjVz1fM3p pn9wjTxh1nOY+UF7Xqo9D9Wef/J+aNdLzt/kvEi/fsr5vX79hFk/YdbPv32e qtnP1u5Pf+t5KP7K+qq3t+yasF8WrTkvvH9QwV1Phu7V/f9+/sj8y3yiPa+v Xtp8wphHkYp9XLTp3b8ilGa6CjuL/hgl5zXa84LFJ+ekRDWLEfmuJ27Dt16L Fs7v/Jt8A3vidQanJ/vEir7fvuAu19rHCRs6dvxjV7cE4TanphbvERAvTH5C fyv3Px35Y9RLkU9c9Gf6zAGJwpcnF+1uNTJZ+Jljm3MfXyUJk9/QX73Ff5QM fv1K5MVtJro0npgi/Gvvh1lF5qQJz5jycfS5wiqTH9Ff1AnP0HvFM0Tu77Lb eHonlRds9308snumev7mFrPmfBmVya/or+W+yqaHKmWJvO6mDwv6WKrss7J5 g/bW2cJB27uHb62hMvkZ/S3bNG/dkjo5Ip++cPTTBkNVrj7LaVHl33KFG61y bzWlvsrkd/T3aGFYxLCmeSL3mnSnYSE7lcfb5vmnT3wt7DCr7IYeP6lMfkh/ tSd3atOm7RuRlx3eaEn4NJUvDBje2G/OW2Fv25lRP3ZUmfyS/qYMP7yx/C/v RD6i16aASwtVLtLZa+mR5e+FK1u/MPvUU2XyU/q71qtEzCurDyL3aJfRZPta lQe1/PHFcsePwnadOzgGD1KZ/Jb+Sraf0u7e8E8i/9Bw0PJpziofrrPGZOQf n4XPtNwfe260yvmdl5Y2cSloYafmt9r7Icy35LPMr2saZ50LHKfyzpRnZmH9 M6U9+a6sxzvn5PRyV9cfy2G/OljtyJL25MOyPhd62+pamqpfwDvk/I3gbGlP vizr9bRFs5q3UvmC6W+5prVzpT35NPIRYZ/PuM5VedKB6NZutnkSrzN/au/f 5Hf++q33Z/7u+av2/o/2PBb/opb2fz2xtLqfTzxNfAwTH8PExzDxMUx8DBMf w8THMPExTHwMEx/DxMcw8bHWfuIn7IexH8Z+GPth7IexH8Z+GPth7IexH8Z+ mHic+3vEwzDxPczvB6PPfT/0YfRh9GH0uR+IPow+jD6MPvcJ0YfRh9GH0ef+ Ifow+jD6MPrcV0QfRh9GHyb+4v0mv4TJL2HySxh98jH0YfRh9GH0mU/Qh9GH 0YfRJ99DH0YfRh9Gn/wQfRh9GH0YfeY79GH0YfRh9Mlf0IfRh9GH0Se/QR9G H6Y9+Q/tYeJl8gupJ9Lft5V6IU29E/f7ZP9YL5f9GD0z/rT63Pfj/8PIud+H HEbOfT7kMHJtPQXxP/mMnAfonw9MPgLz/LVy4gP6Y/3n/7G+0z/M85D9T739 2vlR+7y08yVy2e/StGe+o38YOfMZchg58xVyGDnzEXIYubbekOfH+ITZz2O/ mP0y9ouJT9i/pT3rIXJt/Qr1HbSHaa89P+H/8f/5PWT+1euzfw4T78DsH8Ls D8LsR0q9lT4/ZDzA2v0R3jfZD9Uz9lJfBVNfRb5I/zD9k/8hh5GTzyGHkZOf yf6EnpGTbyGHkZM/IYeRkw8hh5GT3yCHkZOvIIeRk38gh7XPn/mE5w/zvKnv gqnvoh6P8Uk9Hkw9Hkw9Hsz8AVOPB1OPBzNfYx+srRdjP5P5Te7b6t8PzoNg zpOY76UeTc/0z/PS/j/yMakP5D6svn/2x2Hqw9BnPxV9ue+qb895Fcx5l9Tr 6vdXpV6V+6/69uy/w+zvo0++iL62Xo39f6kv1Ndzos9+Lfqyf6tvL/ULeuZ8 jvFzROdbxOZ8towv1gNYW99GvAYTf8FSj6Jn4iOYeAcmfsEf4hHGX3SLQuM7 blDXQ+36SDzC+N7pstrt1KNMWS+16yfxCe9LHwOD+HqVsmX9oH/eB/OE26sd TNR4iP54vzKte9xNnK7eh2G/kfUUZj2Fed/Jj8m/kJN/weRfMPkXTP4Fk3/B 5F8w+RdM/gWTf8HkXzD5F9x7W1Y3wyw1HvgQZV0wd1i0rP8Zx5/FL7aJlvW+ ybADH0zz1PX9312vKPFvQoeBeYvV+Pi9rUORTrfU3/uVs3nc0eQsmS/Naq48 YPMxW9mTGd3qN+dQpUTgny6J4Wdkv/x/Wo84qN3vCY2bREq8daRG0IxXy6IU K6NtjSt0vKQsqPsq/IZblOLaOdvA6sHVfOsXT1XzTnM0iVaqdDo/4e5V73zr GZ+1jQuOHB+teJTr2sW+oSr/R/WNjdvOv5/yn99peLR4U7Opqvwf1TsGnitU vqZ7lPJpcbX2k9eHKEm/ZE4Zsi5KMd0/uN/R3/719ZB/t74xv/rF/OoPkzz3 TqqRd07ml6o2Q3IPWvvJfGLpXsPsTswLief79+xgZPdniMSjQyf3mP3k17Cv 4nvmD239olHmtZWljKKUf1TPKPmBY9kityt/e30j+lNzT4/O2px/vePkFQXW ZTeOUtcTTf2jtt4xv/pGbT2jtn7Rvn7bRX+duSXrA+vL7WqFh9Y3zlSubXA/ 6GDiL+sB68nDPgG+G4ZlKRscf0zI23JJZ1rj8ajjnzMUd5OiS9xfP9B9Sml3 PLRjlmJfeJpZxeGhyoSkyDt9Wp7TNW9/0WvW8y/z+ZHKt52vbtX9sXS/iWWT GPl9Fn5eVLP+jWjheX1L/bzvVqQSNM/RtaDbESVoc0iZ4AuRyuOm0eFF/Ny+ uV7S6dbKEpPGRKrnDZ2tq27OddX9uPCTxe7hGcoio0FH7629o6trOaCMq2um Yja+QrVevv66mXGZZfcGZim9tnZ4Mb22Op5yClZ0fxAYoYx6Pmp0R7eNX9VL Eo8x//8w9mDzBu0DRX/I2Hjr2WWC1P46n/jcpH6Y8JXOk0LD+od+NX7Jn6pm NOhTzytMubAiYEWe+VHJl+YbzDHubuOk+7Dg5OJBddT8Sr4f8MK8UVLGaV2x VuXGbgsJV7T3RbT/T+6XjPEyW74uQvKndg5Jlyu1ipb9A93UmIU/dIhWDB6f rR1X2keZeC7EaM6gaMXv5YRdZyf5KZsKhxjc/T1a9hMGFOk3uN4XLvmTteen fk8Vg1mlBrQfHa0M1708uuWSv2I8q8qmg22iZX+hWvQI899aRCsdJobYnP/h hTI68/PRYa+jlNbbxtp1sgyS+GVRatXqtg7qfTeev7aeuah1xq5qFz3E33r9 g+YcqXzkK/+pzyWep78NB0ulNZt4VW1/qNrS8Ve8hN9tNvzDddM94RWbd/Qv EndX+FvrNYn3+f9efeq7z6j0SPozszyeVebaY+FLq2oduZ77THjJqpDl0+qp TL5Lf/fToqYXeBAr8pf2hVY2NIsTbvvb+OBCXRKEa0R0vRcaGC/c3O8Xl827 oiQ/js15f3Na7yhl64+TRreYelbyYf7f7w+P1boY+1L0V/f1bRHRN1H4uXnz NZeHJQtfvFZ6tlN6kjD5Mv0V9ZjuO/X9K5EbmTiFbR+XIjzLMM90+ow04cF7 A+r2Kq4y+TX9WXdz+dnJIEPko4ueuONmoXKJjxHTnLtmqr+3+aOEpeVUJh+n P9fWBZymVskSuWdOecPlvVUemtLF275/tnBPE9OONoYqk7/TX4aRXWLPejki LxA3e8aIISofCz3yQ+8RucK7DXc6mzVUmXyf/iwq+VgYN8sTudWzoHttbVXO 8y05q/6E18IJJd8lVWilMvsD9Le5kMmOz+3eiHz/LfPalexV7n7F/n6B2W/V 8ftuZKdUC5XZT6C/sMwtr0K6vhN5ymnX2WnzVd7+l3+dsKXvhVcl3dzp01tl 9h/ozyQ6u/OF/h9Ebv5nEb/7q1WO223mcHHjR+GAoPqph4aozH4F/S168uvu bSM+iXzD1gn13LapbLpuzwOnXZ+FjX3W/7LUVuVvrccufqfi0sVf8omb5slu Hr1ufXN9doXOo8e2GhWtNOzgNXfLgoffXK89cqlNiU+Do5WqP50+f+z2s2+u 3y5yd28nD5co2c+4nDZwvGO/KGXIhMbtGxz8Xt/9vb77n1vf/b+tXju/+uz6 ddeWWWc0Vhdwz7vO/GJf4lP7ypeTfw7RVW128+aSZ9lK1+fv99X4PVjX6XiP mCaXspVJFwbPvdAsUFfbMLGMob26XzXS+YcmBn5Hv6rvRg7Xb1KzmK7zDtlf on2fCit67miYoTj+5l/6cmaUUmVXi+tXf76lzHD860Hf3Cild5Tl2hMjg5Sd hr3elprrqXN3tr156kSG0jv22fqKl3102Ukn3W+mZyp224rnTn8boAsJqjuz k1G2Mmh9i/fXx9zQZRWeMOZA/0wlrPWscAvXJ7qEjjZxTTaq+0Xkd+xfwOxf wLQnnqU9THvt+YK2npt8kP0lmP0lmP0lmP0lmP0lmP0lmP0lmP0lmP0lmP0l mP0lGPvJX7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2HsJ7/Gfhj7YeyHsR/G fhj7YeyHsR/Gfhj7YeyHsZ/9AOyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7 2b/Afhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsZ/9E+yHsR/Gfhj7YeyHsR/G fhj7YeyHsR/Gfu33X7X3Cdh/QQ4Tf3Cfmv1YGH0YfRh97l+jD6MPow+jz/1y 9GH0YfRh8nP264gPtPt38j1Yfb4KS72KPt8kv0ROfgiT38n3zPT5GUx+BZMf weQ3MPkJTH4Bkx/A/N5a+4l/iR/Z7+T5yf6nPn5l/5Pnra3vYz2Eteep2vts Wnu06x9y3h+Y9wfm/YF5f2DeH5j3B+b9gXl/YN4frb3a94f9Y54n7xPPj/eH 8zPOrzgf47yKejb2u4iX+P4s8RH6nIdxvsb5F+dn6NMfv4d2/037fV+536r/ f9jHfp52f0/7/mjvX2Af7xP5JuMBxn++90p78kvaw7Tn+660J5+kPUx7vudK vsd9W5j5inwI/2CpX9TnK1K/qGfk1B/yPKg/hKk/hKk/hKk/hKk/hKk/hKk/ hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hPk9 +V4wzPd/Yb7ny/hg/oN5n5nPkcPImd+Rw8iZ75HDcr6in/9lv0LPyFkPkMPI WR+Qw8hZL5DDyFk/kMPIWU+Qw8hZX5DD2vsIzB/Mh6wXzC9yH558Tz9fwdx/ 4D4ATH+8r/Qn9+X1+gUcNhlv/1VlGxOrrg/f5og+9+XRl/vz3C+LKWdXzEXl 8n88XalYqPfnpb5Nz1J/pmepP9Oz1J/pWeIZ/fgjnmC+ghm/3O9CzvNHrv3e NPczkHNfjP9H/sP8xPuDnPwCOe8TcuJ35Nr3i/UcOf+f9ZDfi3gC5vfm96M9 z4/1Dbm2fvb7fY+/d9/j/3o98d+9P5JffbD2fsm33g/R3v/Q3u/Q3t/4797P +J/WA2vvO+RXH6y9D/HPrhfmfSZ+0p6nfuv9C+19C+39Cu19CffE890qN1Hj e219qfa+iLZ+LL/7Ddp65fzuO3xrPXN+9yPyO3/+V9+fyK++Vltv93fvR/yr 7kNQ3/fvug8h9YX/1+5DfGM9+z/7vsP3+wvf7y98v7/w/+79Be19BO39Au19 gfzO/79/v+H79xu+f7/h3/f9BtZ/+X7gN34v4VvvJ/yrv6+gvf/wrfcXvrof rPkeRX73G+R7S8dtrqzKnaXTfu8mv/sP/wESbijy "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl2dwlkUUhe8GTEgC+VKAQEhCAkkgEBIEEggQAiRgUAQFOx3RqEQQ7KKC gkr5of6wj733sY5lLP9U7I69Yi+MZSwzltHxnDknM/x4Zvfd3Xffe8/de/f7 qlevX7QuKyKKUkQftIeDVjAKHAOmgTHgSDAVjAZngnbQCLIBXg3usRQsAX3B SrAC9AP5XpdjuJbfygP7ea4A5HrsIDAdjAXFYIDnTwDdoBCs99xgsAGUgFLQ A9aCgSDj/fj908EM0ADWgGNBf7cZrzkbzARNoBIMBWVgPKgAVWAn2AGGgXFe w7lzwSYwHNR4bbWp8H6TQYvnJ3jNSLAANINaUG/tk+Mw2notsXZ9/Jyzj/bZ 1jHPvhTs85zruI3xu9n2Nc/xyfdeuX6PWk+0XbV+ps5F4BIwyT5R/0Ee77b+ GX+D3+rrOJR6jto3Ws8Njlux9au0RtMdH461Ow7DrHel363w96tsS42fW2wv 7d4MFlrXZD2zHJ9q78U47u94ZVln2n4UOMxxKLDttLMtdB5p26xQ7GnLIttZ bvsabfNQ+8KxXV7H7821vrS1I3S26EtX6AzUgc7Q+Rhp/1rcnwcO8PP80Hmq sV3T/U1qP83606ep9mu87a6w7W1eT21arUGD49TrR7t9oX8z7SN9mG3dSqxR xj512k7GZY5tYx6u9dpm+19r+5bYthb7VWsdDgZT3HZZk8n2v8V7z/f+zY5z nf04wn5zv0O9Z5P1py+L3S93u9g+1Tvuo/zeAr9L/Y62rhxb6G8dEqpT1D7H vvSz9gfaP9bD5R5fCVaHas4WsMxrOLfCe5wYqnGsbxeAVZ5f5ffZ3+p1XMM6 drz7vbWM+dztfaj9cV7XO7/G65fZvr5ee5LXX+h3+jtm3R4vdD9jX5fanoz3 LbSeu6zzqaG4DwnVje2hc7ENnOw92fa4z/p5PhgRyjfWlyK3p4RqDdeu854b Q3Wk1PNc13sXbHR/re3gGubHaaEzzrPLWsA6wPifEzoDPO9nhc5Lifcqtv2b bBvz44xQfmyy3Rw/z33uPdvP7FeFzulI29Nj+5c7xv0cw63WcLVjQP15jrY4 RvT7Ir+73TaNcNy2WcPeWllm27imt97tsD1sd7q/y32+dwtISd+/CfxnG28A 79kW5gVrK/PgNtqVZPtO70UN7wA5SXaxhnVYg7tAXpIfPO8r7WM7xvaG8j3f cxxvwPjYpDv5ATAuqYZ9AN4P5d494KtQDn4E9oTyejf4OFSzPgVXW6vnQFvS tx4BE5Ns/AxcF8rrT8CV3mePn9m/AsxJ2rMDbSe4GP23wLSkOvUG/UiqcdeC eUl16Gnql1TDngFfh+rIVWBu0nm5BnQl1Tb6dLf9+ga8GKo3L4EPQ7X7SdCa VP++tQ91/s5ToW89b32n2O9nrTPfeyL0Lm18M2RnGfqDk3Jmr/Xi+gzG8pPy bCDawqQco72vh2x+DLQk3QNfgi9C9Ztjj4bGGcP7Q3H8AXwfyj/q8Z01eZDz STlJvXc7jtTplZBWjNvDPl9V6N8butMuB0OTcuRx8E6o5nzuOY4zbteHYjeB 2ifVnVK0l4VqxS/g59BvYeoxxJr8CH4K3RMv0K6knPwV/Ba6e/4Ef4XujEtB QVItmoz2tdAd+TLPY9J9XIO2NqmmvOtzQD3vs2/0qzop9ox7Lvp3hmrnKPTr kn6P/wF+D/9OTzqLPIfl6Fck1T7GcIDj2B/toKS6OhxtZdJv5EloXw3lbWOS rbSTP6RuDt1F/4IbQ3dIPcbHJNXNh6wp9eQeTUn78LwU+8zMSMoZ5ksf9G8N 3TfUviRJ/1lJecuczUb/9tCd9w/4O/S/5O1Q/vA88L8LtabO1Lg5Sef/AbDR 9h0= "]], Polygon[CompressedData[" 1:eJwt1Fdsz1EUwPF7q2aMmDWKtMa/2mr7pw2totraxJ5BaBAVSmyCVlviAQ9G I/bee+/YPEhE7PGCxIq9N9+Tcx4+Off+7v39fneceyOyxvXMCXHODUIoHuEh wpGG5t65w8SmaIcY6susbTqu4j46ozuiaI/12haPFpSPE5PQAatxTp5jHn5i kdUHoiH9lxJbYyq245l9OwYv8Fz6oRuu4yi6oC3uYTFSbUypfO+09c3Fbdyx vom4iVtIRxBPcFbmja5YiadWln+uwgq0R0ebyxp0sjmcsD7S1gwXUYwxjCDm oxbluphMORb1KAe8zjUOdSgvIbZy2uczFiIF/XAJJeiTTSzAefzBYOThAhzt wwhzcBmlqY8lFso+UD5IbIJMFOEVetmev8Z79EHA/v0dA2wMP/AN0fbsK96g N/ojhO9vIo7EcPzDBmRhKH5jHYY4zTmZa33emWJzjqS8i9gYbfDWxhSwf6TR /phYHXMR6nVNCuyfZahfsbYc2SfqR2yv56M49S3E0RiFBfiIvkhGJdorohrl CXiAHU5zr6X8l7YwQXkiSlHeZv8ag/LUK2C802/UoFzTa18ZcwOvey57LXMu R7ksqjp95xM+IMrGVNtrzkiuTMJORHgdi6yR5Hq41zbJeTlLGV7PluRjSa85 UGhz9l5zMt/2ZKvNQcYuObLR9lD2TnJ2H4LUZxJn4Z2tWbLlyHJbY1nbSKdn 8aTT3JczudnWXNY623Lnl9OzLjlUmbYqXtc6zOb+xWmuyxqstxyS3JGcvoFT 6OH0DB5Dite7Kcna5MznWp8zklde7x450y+xFzOc5nyC1zsgaM9krvuJs53O OdrrnSZ32TRcszWRtZA7Y63TnJZcljP41+kZlLMnOb4bcV5zOQGHZG28nj25 U+Wua+T123Ln3XV6pvOc3inp8q7XtZUxHUAi9QynZzie8h77tjz7DwQKoBk= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe8FtURhtnzWUBFjUJijcGuGGNJoolJjElMs8YERGxIE5ArQaNJbFiw 94qgKBYURBQRBMUGWFCwYgFREBQr2GPBOk/m2d/HH++dPbvnnHlnzuzM7Hc7 dB+w35GlVatW68efRsidQh4c2Djw28BeVatWfwv8Ia47BFYM7BHYLNAm8KfA JoGVAn8JbBpoHfhNYM9Yt29gl7j+ZWDvuO4e+EegU2CvuLd5YJVAp8DWgdUD BwS2CawZOCzm/d01+8R4i8CqgZVL3u8Gv7jeMrBa4IUYvxl4I9BDPZ0DxwQO D/QJDPRZz0CvwP6BLoHeygOci+zqGuSBgb7KgwL9lAcHjlAeAt/gsVWgbUkd ndVxpHyxaYASf/xTCafu2BxoFzhqOY5HK+H4LyUcu5XcswUdcd0xsEbg/RjP DywIHKsNcD8+0N/5J8oJLu1L3j8ucLI+Qv8g+TE+1/UnBE5yHc/Od6+TfNbi vqe4B9xPl8e/sQO/BH4QOM81rD/Vudh3jlzQd5r3OMMeJe+fHbg2cGHgIvft 65kM9fk5PjtZLpeo4zTXDfLZ5fI7I3BZYLDj/7gfZ3up63h2lb6A+8Xuzb59 gtvhgXUCw9TPvKudi58u0E/o7h3zzgo5JHCNz+B1ZZX3sWH4cusG6wP8OELb 0P9i4JHAo4Eb5IodNyqx7+bAFeq6RR/BcZT30LluyTk3udddgUmBMc7F7rHa A6/blHC/XcmZjHY/dNwh1+sC45XXB+5UwvdW92bfCd6DOzlpZMiJchkpt/tc A5fJ2oYd93sPXnd7Dy5TtBk77lWy/h6f82yc3OH6gHvcrl9r/dO1Ae5TXYN9 DzqX8TTvjdd3N8lvg5L7PBx4yD2wdYbzsOMxJdwfV8JxphI7Zimx4wkl/nhS iQ+eUmLH00o4PqOE+zx1sPfLSvZ+TjvhuGFJvs9XmVcf1h/Puge2zqkyVrBj rhI7XlKiY7Zzp3v+xCzv4ivqxI53XQOvBdqDHa8qsWOhEjsWKeHymhI9ryux 44cluS+uMtbQybsxX53oeKvK9wc73lZixztKOL2xnA+WyBGfLVVix3tK9n7T uexLTiE3kUs+0DZsOjC4rRX4Xsn8gU94nzcqyfd/gS/kB69PtQMunynR87G+ wAefKPHBCiWfcW+Ze2DTN/KGbyvrBLwacf2R+33pXM6kxP0Pq3z2lffwQVVy Hc+o9fuE3KPKWkfNopatbZ0+tMr6Tx9BP9HBfoH6vYn9AvV9U3sKavZm9gXs t7k1nxq6hXWeOv21XLCHXoVeg55ja2sgdbqjfQR1ehv9TZ3e0vpMjYcHtZg6 Co/ujjtpB+Ot7E3oA77Vf/gOTr20+XPPhDOr+wZqdN0rUJ++X7LW/ld91Enq JTW/mzW4n/FC3NS9BfeohdQT6krdi6CDekJ9OF8e1NyBPmePY6tmz4G+uoc4 umr2HwPkeozP+riOMTWS2KQ29ZcHNZga3sMaNkAeJ6qbNYPUx70T3JcaWtd5 JLFf91u95X6K64/T1rPlOEgdcBrsXoPkdYE6ztNHLY6P147TXVP3eb30zRk+ O1H/sZ6cxLv8shzJG7yfdf6d6V7U1ktdf7lj6n9v6yh+oQ4O0YahjrFpmGO4 XuV4vZI1mDpHXSLn361t1Nbh2nqtY85khGN4X+1e8CXfXSe/GxzXPcEN2jrc NRc7l73gTb2ibsGDujdRrrfIC65jHNe1/zZ13+qzuj+gHpM7yN2L1DfWefhl lPqwYZx71b3CHVWzVxgv7wmOR/h8nFwnyZW9Jjsepf8m6/fR3iOXkz8Xa8MU fQ0naui9cqdu3i+nBx2jb6pj9E9zDL/pjuH3kGN8R818uGrW46eqZj1+umrW /hlVs/Y/VjVr/+Pa9qh71bV/VtWs/U9Uzdr/pPbPcE3d90yR67PqruvoQrlS M2fL9QX9hL4XHbPXHMd1vZ9TNev9XLnOc8z7Sfxdol9mqxt+1MH5VbPGL6ia Nf7VqtmXzKuaNX5R1azxjD907kLtZz/e27H64j65ko/Jy6/EuzWf79LSrJcf V82a+qn7se8HrvncZ+zxheNFrqvj+iPXLHYPajf5eQ3rzqp+t5J7Vvc7l+er +d1K/mvrNyN1g5xPneJbkhq6k3V0gbyoO9Rn6vQyff2u96hfrUvzu3cV6yY1 biXr7P5yqr9126q3v3qoS6xvY/3tKu8D1fOVuus+6W3PaYnP2/j7QGfPBL51 f4Rc6ppl+rTupViPrRvLo7W/J3SS+yby37Fkb4e/f1SyZ8Ln5CvyJ/lgW7/D yGf8nrG7+/6i5DPm/djvbGraDiX7XWL+5yVzMfu9H/K9kt/0H9IjwSHwCf1V yd8t6BGoedSo7Uv2+rxD25X8hpnoea7lmf605LnSF+0sj/b2KdvYn2DfDvLB vh21t73z+xtfHY0xuG+vXnT+pDT9sa1+gNd28ulb8vubGnWk+o8zXjY3Zn5W sl+hV1lZ/xFH6FtTnvwe1MH7S0IuDezn3BW9z/nTa9I38RsQvSB94O9KXu9X JZee8qGHo6ekn/xVyd+P6nW7OB/5a6/hu3fJmGZfesE9nY8O+k44/rFkHLH3 riV7VmLqz8vF2l9Lxu+uzqOnJJbJGfhmt5L7s2dLyXeGvm1L7W7rGXYteea8 651L86y6eM5wP0j+WxlTvGP0gd2Xi41DPG/8Qq9FH0EMH+q5Egfob9Hu3eTc zr14PqDkGbOePLRvydzT4pxDffe+9t3m7Hb3/M4K3Cnfw1zTTfzfdvNGi/u0 VxcxQy90RMl+iDja2Tjr4RzirYt5kDxEHuU7hG8O8sE3ciJnfOuY/Me3B/FE DuY7hzXkX9bxjNjnHR5pbA9YLob7y7Ov3M6M6+khHzBWNm1En+Ee9wXu1qeT AxOMC9b11S7yBOfBe0b89lJXT/X2cF5fz5C1h6uXd5JnQzyjnq5dxzlXyLNf yfejn/ucqW/7eP1pyM+Ms/q3QvpoftCtGsZiyKEl88pRgXuN4WvYu5GxuHrI ISVzSbu4vqpk7mkd15eWzCsbxvXJJfPXxnF9uj44OjDNeB4YcpJxuFLMuaik TU8Gnir5Hl6pPnRdXHIecy5TH7rWD7lBI2N93ZDrNfJ9ODewQiNjnL2vc/8r Aqs2Ms9drQ3wH078NbJWDNMX+KERsjTyW/zCwPn6eaO4d6oxOzhwhn5uE/ev NzbWiOuRJXPuanF9Y8ncOiZwS8ncOZ51JXPYWH2Ef9AzQl3sfYH7jw45qmR9 wL5zStq4VlzfVLIeEIN3GYfE5hTj856SfsfnxPLUkvE8MXB/yVz3oGfPuT8S 8tHA7wMzSo65nhmYVfL9fzzwWMnf/tsHh5tL1qFLPPv19PflJX3+QuD5kv8H eCfwdsnf5l8NLCj5e/+Xga9K5sEvAp+X/N16TmBuyfyLL1dppD/xcdtG+vmZ wNMl/+cAl7UbyQffrNlI/7wZeKtkjlsceL3k/w0WBV4rWSdmB54rmffnBV4q +T+NbwJfl/z/A+dMLuCsOYdrPYvzjA9i4+yS7wPvQv37EX3id/aJSgE= "]], Polygon[CompressedData[" 1:eJwt1FVsFUEUxvHbWQqlWNECLaVNKVDcoaGE4F6guJQmTUgID8AD7ppCIBBc g4QXXIMESdDg7u7u7vL/Mufhl7l7d3b3zJlzJiFrYPoAFwqFMpED+7jYj0bo GBYKXWa8iAi0xBBcst+J2IXdaIgOzN/LuMd+6x3ncAY50RyTsB61MYI5UUEo tIjfpVAD6zADxWyOnr2AFvaOSObPY4xBNeTjegFjLKqjMNdLGONQE38wFpXQ Q+/l/jLG0ohXDHimeFEOB3HA1t6YMYH5kxmzue7H+BxPkdeeKc79U4zNkIHV 2IA6qIox+IXuqIid2IH2YT5nH/Ee+dEZI/Ea6SiPN3ilddp/U7AFKSiJ8diE ulo7vuELCqArRuGDvTsZP/HXchFl3/6MLhbDDVxDbrTGIRx2PhfpxHya8SjC bc3HcMSum1huXip/lqMJWItayOT53xZDlOVkK6aiAeojjHz+YyyInhiK6xZL GTzAE+UPeZCL+bO1D6iCYbiDtkiyXPxAN8vJYhQKfK2pRpaiaOBrRTUxGGed r9UE52snFPhYVEODsA2pSGM9J+wZzW2K0fhqua+ARxazYk1DbOBjVqyZuGJr 1NpaYTNKcL8PYz0sVNyBr231yHYsR2/LmfZeNZhhNZDI71mM0eiPudrLwNei eiYu8HuivchSDXEdjsrOf3O+9i3wvaWeUu29QyfnazCaexutFhSDajEm8GtJ sVo4ablQTXyynCgXqrHzzp8hOjvU045nx2lP0At3cRuRtocrEc+cvrammbZG rU09qXs6U3SWaM4aTHO+F1RzquVbaON8Tessu2q5jrBv3Uc7+6ZqLwh8LKrB t873ULLlYIXlULkrglXOnxE6G1SDN52vwST75j0MR1n7xgvne1y9rR557PwZ pLNHNf3d+TNDZ4VqVmfJHOd7XWeKeu+4872m/GY730PqnVT71kPna03f1N5O t1i1xxOdrzHVls7Y/8EUooY= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHfYj2UY/eW534b20B7UVVZGpBLK+qy+lJERsvMZIXxKqVCJhoZ2Ee1B 9SlFqChK2gMRRchsR0njHOd81+ePc933+77PvJ9zn/v5/cr1GNR6YKlcLjd3 r1wuwY6LXO5o4CE8zAYqAWcBVwGnATWAl4DyQE1gJlABOBN4HagI1AJeBCYC 1wLTgHuAEcAcoDJwNvA8cBdwNTAPOB04B5gPVAXOBd4BqgF1gIVAdaAu8B5w BlAPeAuoAtQGbgJaAq2Bp4DrgJHAKKAJ0AJoBJwHnA80tq0PzACKgAbA9UBD 92lqn/2a2bJfKyAfuBC4xmOy3QV79Mu3beZ2tM2BMV4L13qRffa72Dbf7ThP nuNwruPypfu0AUrhrHbBDgY6A+2BDsAHwGKv8WNgEnAz8CkwGRgLfAGMB8YB y4ClQEegE9DOY3UFLvW7AqAn0AtYDawCuvjdZW67FlgDdAf+AW4DhgJ9gB5u 283jcb0rvOe2wAZgPdAbGOA+nDOwx/88ziCgH9Dfe+7vtj8C24Ar3G6g224G NgF93fZyjzsFmJDEa/KHvCP/yG1ynFwnn8lr8pu5QF6T3+Qwc4K5Qd6Sy+Q0 c4E5Ud4x6uq9krfkL3mcQmd2a1JOMD/IP+YKeUoekkfkWMNUwlE+F9mv72/k FXlWzBtyIt9nzucbkjiUt0e7FqmEl3wu5iWfR9tv7nYcr2Uq4X1Tz9/czzd6 LvZZ6vPs4DNt4/6LfbZczy1JHCS3yEdykBwjH8e579PA1CRe9vBZ8czI+dZe z6WOLTnXyTHm8yr7nf2tp8fo6vPg8xr73byOTh6PekJdob5Qk0b4HDg3edPP axng5032C/yNXBuYSnjJ5232B/gbeTnE447w2d6bpB08T3K80G2yEO+ZP78A dwC3J/GSnD0VuNM++Xp3ko5y7F2pJFd6eo19PB/5Rv48mqSVjCl5R52k7t2f pH3ky31JHCJ/HkzSUPLigSSukAcPJ2kZz2W95+rlOUZ6zHY+9/bGWJ/1Z8BH SbzoYA50tB1vf2dSrjCOrEnkHPnG2DBGw+HnQrEpdDwmOD5X+ywZE+rhh8Al jvfde5zDPY4N1zXZa3k2SSPu9HiPeUzGb6L396pjlOdYPuw4zPC3PK/3kaQ8 YQwmOQajHOsmjve95sAYx7qF557iPTGORZ73iaQ8Ge/vz3iNrHfP+Sy57xe8 P86/xGvgPh73Xl5O0ruajsF076+835NrjT1vnu0M+6/Y57p+9XMD9+O4Nby+ qT5H5gBzhvpMTpFD5A+1dabnfDtJi1nHZyXpby1bPlOLq7gNtZo18d2kuljR 7Sr4O8c6x2O/5j2+kaTj1G7q9ptJ2k09n+v3p/tbZX+f53Fmuz/XU8nPnJN5 QF6Sk7yPUEeqO9bUPupeNa+1qtdLv47bLfR3tiVHyU/y68mk/OFdaIFjwrHf T9KpBf5WfCeY79h847Eu8b5nOm5LPH4rj8Gx6nn+RV7PIj/X9Xi1PSbzk3lK /n4N/JFU95krnyflK7WeGk3+f2W/jS2fqTPkAesE86uz/S7GKr/rZp/3h9+B 5e63zHN3cUxXeM6V9tvarvS8ix2Ltp5nmfsut9/R86z2XLy3rEu6e3B/37o9 v3/nNsQar7GX/d62a+1/b59teecg5ws83mqPyXbrPUaB/b62G+z/YJ9td/i5 t99tdJvtnq+7177DbTgn7z3MtT+BLW7Pd1v9nmB9Yl7utH+l7Y/2f7LPtn/5 mf7f7nOlv/9sf6rPrKNjtt1r2+h1cA3Uv0+StHarxy1eC8ekzlOnf0vi8Bav u6+/c27WA2r+XtZ91jveNVnz/rU/zJbPxXdQ1tch7kt/uN/xudBzc6xB7rvL 49DyzjbMc9MfbJv8nuOE6xHXxHpd6Ln5nvNzvTm3od5Qd6g/rAfkPu8iC/H9 0FDuNYPt6btic9hevg98B1szVCvGwt4S0qFvYKuHasuNsDeFtDbLMHem3BiA d+1D9f8f2L9C+VkWdr9MMS8Nu3em/BnP+UN17BR+D9WTOrBXhM68NuzG0Lmd Cts7VGfOhz0wExeawj8mE1fy4B+Z6fzrMSaZcrsB/EMycbkR/MMzcWcd/LNC NXYZ7BchDbsWNj9U+5bDVgnV0rNDfdh+M+yWkH79Cbsj9LtnG+zW0G+jP2C3 h7TsV9hfQr+TDsP8DUO5x9/E3/t38U+wP4d4zPj97RgOha0Uqr/7oO9JIf05 GH79UK4+AFshdAdpAXt8Jr6Ugb80pMkTYE8L3V94bsln9x/e1Q1pGM9nX5/R Trw7IaSxpfDuxJAGHgD/vJD2lIHfOJRPr8K+HKpn78C+FaqX+8M+HqqVD8K2 DN2TuI/ItJcD4D8XqimH88xDtYOcXWDeHgT7SqieHgw7K8TzQ2Dnheppadg+ oXvCgbAvhmrrEbCfhWrQ17AXh+5G6xnL0B3rZtijQneIVdx36C61hvsO3Z8Y g12Ow23knnnbAfakTPpyMuyRoTsc49ffMTwM9r1QbX2TcQrdBQbDnhzK9+Gw V4XqdAHshaH72hPkfugONDCUV8yp52GfDtXkl2BfCN1pZsPODOnB+7Dvhmr7 R7CLQ/eFz8nTUH0eBFsupLcjyJHQve/6UO4x76gZ3UK6wXUN8dpGc0+h+yN5 2s9cHQV7Q+jOO5LvQnfK/WDHhO6UXUP75967c/6QjtGeYp/61COkUcz1cs73 ytY63pu4j0+9lxPw/aLQ/bFWSGuoM2eGNI76xpg967h9EuIc+cYzX+Fzpx58 FdIEnv9qc6Ad7IaQ1lULaSL1cHfOhfJuN8fNc3LtIfNtGOyJmWJF3q01956C rRy6734Z4iu5+kwof5g7k2Enhf4DKx/K592/RXgOof+9mN93+P1Ezhm6r5M7 U82fR7j20L28Ykg7qBvTQnnIHJwSyiXm0Wuh3GPeMT++dY6QX6+bY0WhfGOu UQNmhHSAfJxuTtYI1RXWlPuZH6H/8I5GPJqE7gEfhPKEOdIqlEvMI+YZ6wRz jXkz17lDLi8xn8tm4jE5/HZIF6gJ1KH5IS06Dm2OzfTbd05IR6ghzI9FzhHm 7srQvFVDNYD6f0aoFrIO/g8pDab9 "]], Polygon[CompressedData[" 1:eJwtlXnQllMYh1+d+5GQfZtSfIkySSlSKnyWss0YKSpaNBMhNaiU9s2Sklal RSUtKG2T0jItiilJkaIN0b6QdsT1m9/7x/V913mf5znPOfe57/spaNG2Xpsi uVyuLwR058/TMC7lclOgdJbLPcZ4NP4B7MdLwBj8G2iPd4IP8S5QHh8Bg/BX YSB+JryDf5TsQ+Dj5N+K4qNgGj4YGuH/wSb8CKzGV8Ft+BeaE68J4/FJsBJf ATXwZdALfxm64lOhDH4teziNt4MvGX8VvldzbserQE/8XWiMn8v92/GjcA3j 6xifwf8OjD/j/1yohi+EZ/FSXD+MF8Joxu9B5+Q9PYO3goF4FXgeb52PZz14 Er+I53fhx+FPxiVhLP4tNMWv4Poh/CQ8rFjD7OR3LsIXC7x68rvHwvTkNXyN rwnHrqbmxNeGfSVcibcLn+2bUBH/EYbi3eAJ/HzevwM/Bj8w3qgY4rWhMr4V huM94JVwTigXJsJZilvYhyjm4TOclM+nYeEc0Nl/Al0VO3gbnwzz8PnhWN8K LfEHYQL+PizFl4T3vkQ5gC8Pu3LiJbxHOJd1Bk3wS9nPPvyEzpDxgvDciqFy v0v43aqBMeE9aO2K6Qb8e6iVHIN1+PpwLPXbQ3i38Nq0hxK8qyzjATpbuDjz GvTu3fArfjP00tnBANVKuFY6wjncfwfjn/Ft8EK4RlQbqoFiXD8btuAN4EL8 7vDcOxV/xkWhfvI9u7nWEP5SbkBwLYPNyfcU4FfDi/gfcDleN+wHYSR+fbi2 lSN98L7h2ukO53F/IePftDe4hPG9jPfje+E0Xls5hm+Ef/B/YQP+KCTuL5LZ tSbV7v1cfyu5hvfhe/ROfE1ybT7AuH9yjd4Aj8AwxnOSe9Uh5XxyzxqElwvH Vj2qLM/fx7gf/jcUz5zzynXF/LLMNaja0x5ymXuEeoP20BEvFu416oHHdDbw Br5eMcQPwmvJa9ilXhWO/Soox3zNwr0p5Wv/aPhZ9YBq+O/h3OijNeKnwr1D MSvP80/le1Omc4W94disg8GqzXBtdYLnwj1LvUo9soJqE2Yl95TZ+Bz4PLnH 9deaMueuYjxNcylnVZvQPLyHlI/hdP5/Gr52C/yE3xjuJeoRj+M98/1GPXAb flO4d4yACzL3RPVC5dDQ8B60dn0zxuPjwr10BszCZ4bfpTW/rtjDyOSe3iIc oyyfQztV6+FY6v399DuMwnsr5/BK4VxWDu3Q3OFrmnOqahPmJsfgnnCOK7fV U+4M14ByXz2zTriGVDvq4VUZ/xLeq2peuXE43OuVI8rtA+Fvq3JcuXQCvkvO qauYq0241lXDU9SroGrymibma0C5rzOtFa451Zq+qcfDPV+9XnMWhGtAua+a rx7OUeXmarg93IPUe/RNvCvcY9Rb9M2aoLMMn4XW0CA8h55VTP8HpIcrgQ== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHv81/MVx7+V9/nUXCamLNTSbO5zSah1U1EUuqkkrdDNiiIqpRhTzb0x t6kUyViZy8SMZdjMmDGXMbNcCimXqEj2ej7O6/eoP16P8/68L+d93u/3eZ1z vt+Ww8/qM65+rVZbUa9WayBZL2q1HYQLS632jLCvcIAwVn2HV7XaPWpfJuwj 7C88K+wnHCi8INwmXC6cKHQRugovCguEK4RXhNuFq4S3heuF64T/CHcK1wqv CXcIVwv3CnOFWcLrwiLhGuFfwkLhSuF/wl3CL4X/CouFOcKNwg3CZOF5Yb4w W9hRZzlYsr1wtHCk0FboJhzh707CoUJrobPlYcJRlm2EY7yunfCY9fUQTvA8 zn+81/PdoeS+hwg9hY7ep4nsaSz8Qu1jrYe5vTze2XMPsU3HeZy+3r5jbO/r 82DX+8JwYZwwwHpZt9w29hdOcpuxgR7HrsG2m3P0sW70nuI+3vZU7834GV4/ yHvW6R7q8b4e6+kzPek5w4Qh1oeu020ruk6zDr5P9jpsGmFd9I20xN6PvP5s 4UOvP0tYa/vGC2O8H7Z/R/e9s/ArtVfalrHCmR4f6vfjnQ8XPvHeE4SvPO98 YZT3527WC6OFicKykr43SfjMtp4jbLQd53nuKbbpc+s61+/JnvjiTSX9d5rw jbBZmCLMLMk5uAcH4Shc3UZnamD+XiJMF2YIl1peVJJP8OCgkpyAr/gl3LrW e8O/a3z+o/zu3D+cg7vwoaH2qYSLS/IefuOj8BvuwhO4CC/hFDEAvuLDxBbi B3EE3s/xeeEx8aCt7ei61Tt0sS3M6+Yx7IYL7a0XvnQsW3jbyTZ19Dx0nOjz YNPR1sU4/nmc13HWXtYLP3pYVy/Pw75jvL6D1zEPHhNffqz24yXjQnfha+Fh +wV29y5beHSmfaJF5DvzRk+U5Go/29fHa9ivr7+xCY70t11wYZDPhl8N9jhc qOMlEl9vqb2+J/zFuobalp7WMdD2DbGup0ry9ie+m8Her7fXDfH5B3jP46xj gHG67YCnZ7kNT8fZJnh6tucRu8baTvaGJ6O8xxh/D3YfvILHcPinJbl5nufV xYgRtuUM6x/kPr7h40TrhIPneA2cneB58Ppc70ccGO+1dfkAf7m5JFenbnU2 zsX9wsELSt43bzzDffDzZ8KvS+ZU+FDHVcbgMb6AT8C5273nrSX5D/fnlcyN cHmPSF7X5Rj4CCfgKDrR1dq6DjPgaRsDvsO5R4Tfew/WX+l1jBEf6nIkvIYH Dwi/9fnhLjmdnPibkvGVd7m/ZO1Ql4+RxLE9I9dxxvqR9zjV93FLyfjA/gtt A+eb7zNy7rk+OzbNsV3k03nub2ub2vk+FvhMxLzbfE9w4a/el/u4w/fBWe/c Svfirc59l3Xf4HNN8h0s9flu8jftJcLdnsMdL/JdPlqyvpnl8fs850bfF7pv 9v3e5H2WeM5MvxE54HfCQ9bDmmW+23keo/+P7p9k+bDn/MHvjb5dI2MWsetB 28faZur/bmQ82i5SF3roI74Rh/5Ucm1362nqsaU+D/ewm3UQh7hvuAEviCnE lmHe6wnr+XPJNjFw98j1T/rc2Pwj9z/lOU+XbKNvuvXDJ/Ii+QZfCs3/tnPW 30vmzgM9/reSHKzLqftaMu8A+8s/S/oRceDTkrEAn3qppJ/C0VdL+hH38Y7v Ez96s6Qf4V//ti/gv8+V9Gv84o2Sfoe/v1ySq/jaipJ+jA++VdIH4cE/Svoy 9/Su7407eM93QhxaXTLOrvY38Zc4SCwmVhE7V5Xk6Qcl4+84S76JxcP9Pcz3 9IzvZI31ELtH+F7O8LyVfouPS8b38b4z5kzwujVlS532sfWs8tqx1rXW9lL7 ECfwpboYzZ78XimueYjhX5SM46P8PdJ9tInjxPr1HidPbHTfOutk7ZfuJ5eQ n7/yXGygDmMveEBeh0+bPIeacIP1T3TfJuvZaL0TfY7N1jPF7clet8F21iL3 Ynz7yG/a+G7l3EC9F/bnS93/c+tt4HoCuY3nFLcZv8hjF/vc6/wu6GhoPcQk OD/J567ntYx/y3Metn3Y1shr0cn4tp4D34nvxFj418hziFvEGuLM2eo7osq4 2Twyn1FLbaSeivSTDtxDlb60neQOVb5tM8kmVd4vc7/w/PaSX0X6VaXxRlWe c4P6voz0v4bq6xh59gZV7oH++mpvU6XPUmPwmwF/xi7sI7+cJjk5MifvaJvJ TQBekl8aez7jmyNtwp4dqzwD9reKzIXUB1/z7pF8wK5SpW1diMNV+lIn7r9K Xx2t9qrIfNvU+1C3Ntb4zlX60xr0RfL5KM5SpR8eJNktMv+cGflNe7jah1VZ m4xRu021JZ9zF8SKtZJtI3k6m3eOjM3MHW17PpP8PDL2dCb2VunbfanZ/Pvr fckPI3nfTvKTyPjTR3KU52xf5Zk577rIecxh/9W24QPJI20bcrrbs/1mvBf5 oIW5c7vk/Mh4tkuV98VdkbfIbd19n+QzYji5hxxE/uqPjkh+nCj5bmT8beF3 nOa55Cfi8AmS70TmA/LCrs6P8IL6g1y13Pv2sGxmG5ZbVz/70k6R/xXQbuJz 0dfYdjZ3m/6Rksd7PjkCnct9xqb2E+qEJp6D7zS1nimSV0fm2d6S70XmlRmR PsH7wtfxkZwdgI7IeHCyZKsq48Ve+FHkWfkPaVy4Zor0M3yM81MfzzAXaBMr 7pK8IzIH09fS/dRDe7o9RHKfKuMgc1qZR1Elh+HvtlXyH+5/FOlzq6yjlfXU q5J78G59pO/it+RT3pH33xQZO4gbn0byCk4Nldy/ypg3WGhdZe12sOQhwi6R sl9ke29hlu92muSFkbXatZInReaWSyXnRMbHpZK9/EYvS74SWU88JLkssi5h z2Mi931J8sXI/9Vek3w18r+xqyRPj6z7bpS8IbLOgot9zLVb0BFZTx0qnUdH 1nDXS14XWetdLnllZB12meQPI+uoqZIXRNa1V0T6EGckNsyMjA/HSt4aWeO/ LvlGZE3ztuSKyP8Fn+XNI+ukvSTPj6zNlks+EVkbPSj5QOT/js/gX5H/HT4N nyLrsLmS34/8LXGN5CW+zyc5d+T/kfdKjojkwSP4b+R/lj+QXBhZ53C+xT7j m9xr5P+OL3D3kXUb8XKY/fktxiPrtu7YUGWt+7zaz0X+l/ko7xxZOz4u+Vjk /5pL4FPkf5YrHW/JO7tXmQOI/7upvUeVtcVtkXfE/RDPFkTGNO64h++5aZVx n5i/p9qDIusJcuauzps7VRmjic97q31KZL0A/+4M18FV+iu+2qJKO7DhPvXd H1mP3i15T2RdOzDSh/Af7mae74eYtNT+vCjyrrnnrpLNq6yj9pM8NbJW+D8T 18sn "]], Polygon[CompressedData[" 1:eJwtlWuwV2MUh3c5a22qczLUuAwq98sJufbBVySMW+63xrjN0DnphsmQMEpU JITcCkVKRVJKhIRKqUjposs0CWkqSeT5+e0Pz/yf/d97v/t937Xetdrd1Hhp Q9OiKAZCDUzLoqiHUVEU30Ff/Dh4GZ8IP+Gnwlv4GjgdP7Esiv34PYvrj/lt D6PxJXA+PgQ+wgfADfjxPL83v/tAf+gG73DvPXgA7wdv43dqDngHGKNvwxn4 M/AJ3gnOqcbQuyPgTHwEfIZ30Rj45TAZHwcd8RdhDt4V7sbvgZF4PRzN3K7l +gW8qcbR+uB1rr+H3vgd6bEmwHz8ZHgTXw4/4KfAWHwV9MJPKL3WljAXToI3 uLcMhuNPw6zwmm7GH4fp4T3rkl6Dvtda84Ln4YvwGn7GT9Oe4GuhJ34s3wt+ 6+AV6AyPhtfYiD8FM/EW/Dak16S1KAbjFR94FV8AffCr0nv7Lryv9cBr+EJ4 CO8O43UPrsbb8f09eIH3gMNLey1cAI/AFO5PhbvS39DYGuM5/FmYHY7hAM1d McA/gI34ZXomnCPKzXEwP5yjF+ITtW58EIxVrsK88BijNPd0rL/WmpVr8Fh4 jMH4E4pROAbnKfeVM+E9vL9ag+Y+Cdqytiu5nob/AwM1VnquGmO0cif9rfbh WF8E68IxH5nOOeXaXK4Pw9vAbuUm7K+zBb3wnTBGuZYeS2s6kntHlX63b3jv r+F+k3QMrkjPUXNTzLW3F8P68B4PU75U61VMDuTZA6A3vktnknuTlJP4t/Aw fgvMqJ5XLkyFReGcmKmzDoPxxeFaMiPtqinztBfwJP4jfKi90p6Hx5itsw1D 8KXhWvJp2lVTvlTuw1CdtfDZnJN2ndGhGrvKL61JZ+2b9Ld05tbgq2C4zo7O NL4EhuErw7k/Ob1WnYF16Rqn2qaY6Wwvh9XhM66zvxBWhGuAatXS9FiqWYs0 ls5c+BnVztXpb6uGrtDcVAPCY56bPlM6S6pBrYhF69KxV0wOwg8uHZs+yv/S NUa1JatcnpA+u8ppxeq+dO1WzBTLKemzq5gWvN8Etugswt/c2w2/4d1hD/5v 2vVM8GzCVrwH1OB7lX5X/9XhtdAT3xGO7fR0L1GM7033BPWCl8J7vyxdKxUD 7cXKdG/RnihWa9O1TTFTbs1K9xbl2O3KXb7XqqoJyq0F6VqsHNPeL073DsVA ufV5upYrx5RLX6VrsXLqUMY6pPTe6gw2w5vDtvCadvHsX9AY3iP1vtvStUY9 8FadzdK1QTXowXTNVa1VDxqUrom1Vc3Q3NWT1Iu0hrOhQ+lar5pfj3fFm0Mz OIbr66tY16R76Y3Vvf97qnpr6dhozkeU7gl1VU1Yn+6h6p2qARvSPVO9cgP8 gm9K996NiiH+J2wOr7kl4+1bOraqSepFl6TfVU/ajP+afrebcgb/Pe2b4A98 a9obYDu+Le36xnXVGrU29bD/AKxBN3g= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0ElOAkEYgNEGnBUUFUR3LL2FCZ7AhXHtAeAi4HAAGVTUa4gKR2DtXlGc BadXkcXL96eqkqru/G5pqxiLomibdcI8zjRJ0mQCG3MkmWWeFPvhjC6ywDJL HFhf0RxZ1ljl0PotG+aOzuiFTul5uFfbOqln4S3a1Am90TE91bieaEKvw7v1 WH9pRP8fciU/1PmixjctulS55IhN5wvsmQcMeeeTDyq88EqfZ54o88Ajd/S4 542d0T/9A5diKnE= "]], Line[CompressedData[" 1:eJwt0TVOhVEQgNGfdaAPd3cNJGjJElgAFOwEtw083N1K3CE4BJdNcAqKk29m crsbautobY8IgqCTUW7ZJeQ4pnE6rvG6r9k6oVk6qTl6qIU6qwU6p0V6pCU6 r8W6oKV6ouW6rGW6ohV6ptW6qVW6pb/UmLf1hVeGeeKTL97ZoNK7dT2l2Tyk I6zSYl/TJY5psg/qFZcs0ug2oI/UmuvIZ8aep9N6QIO5Xy84J9c+pd/80McD z9xxzx713vVqhmaSSjpp9LgnawoJJJFIt3uMxhJJNFF0uV9zww4fhHn7/8c/ 1lw/9g== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{332, 331, 335, 702, 693, 694, 692, 696, 695, 625, 698, 699, 697, 701, 700, 626, 704, 705, 703, 707, 706, 627, 685, 791, 670, 691, 648, 689, 647, 690, 624, 334, 333, 332}], Line[CompressedData[" 1:eJwl0llTjnEYwOHn7ZUs0YKGsiWfqA/gwGkzOrFkL0szlEKyZlRCqYmDZvoC qSRpsy+FEkUq2jfXMw6u+d33/+x55k7fm525LxIEQSNZhj0kxwTBSWKiQRBl 2RzRgBPmRZaYY4F5jjPDLJNMM8Ux/vCXMSYY5yij/GaEX/zkCD8Y5hvfGeIw Awzyma98IYc++vnAJz5yiHe85zVvecNBXvKKbnrp4QCddPGcF3Swn6e00UQL zbTyhHaesdm/qddctpnPaTU15LHd2x09zwpzgcZqKlt4ZD/FDnOhPqSW0+z0 Vq4XKCbDXqT5nCHdXqEXWWm+pHG6lTQe28+yy3xZ67jLbnulrtYSXaVXdI1W abyW6lq9quv0niboNV2v1zVR72uy3tAkvakb9IFu0lu6Ucs0RW+H3xXeinub YpoZZpljngUWWWI5PNLwDsO7JBr+x/CuvA/QSxMNVFFKPjmR/3f9D0C2bjw= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0cdNAmAAgNHf4AnF7gAcsNcBnAC9OAKJykkTrwq4iYqJvWFviL33uo4v 8fAW+L54amxwtCyEkKIpEkKCPMnyEIZIkKWfCTJMMkyOKcYZIM0IUWaYZZo5 8lSwwCLzLLNEJausscIG68QosMUmO2xTxR777HLIAdUcc8IRpxSp4YxzSlxy QS3X3HDFHbfU8cAj9zzzRD2vvPHCB+808MU3n/zyQyN9WvbSQzdddNJBO220 0kJz5P/BH26qNdw= "]], Line[CompressedData[" 1:eJwl09VTlUEYwOHFAwh2B6Ck3d1i14WBioqKio4zoh4srDsTC7vrSv8g70zs 7u54drx45rfvd2a+md1vT35FVUkyJYRQR00ihFLKKKeClVSSZAPV1FKUGkJW WgjZHLLO0WnaWQt1Pcvoaq7QFUylk7lA17GELualupwpFJnztYq8uKY9k81t dZK203JtoxO1lU7Q1rpYW+p4ba7jtIUu0mY6VpvoGG2qC7WxFmtDHa2NtEyD jtI/jOQvC1jLCLYznB3MYw2r6cAPfvKd3/yiI/W8M0EKaaSS63l9zSCdBmSS 53mSXOv5+oxhPGUocymM56MHOcB+BvEwnhP7qGEv/bkbz5E97GYXfbgVz5MC 75ulPblCD64yI+7Lb6u0ku5sZCeZbGUb1WxhMxlc4jLnuciFuFdOcZrjnOQE 6RzhKLXxLnE43hGOMZ2z8U5xhm6cYyY36MV1enOTEu7Ql9v0o47Z3GcA9xjI A+bwmME8YghPKI3fzt43aQ5f+cYnvvCZbN7zgTe84y1ZvOI1z3nJCz5yLfH/ P/cPt89fsg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl01VvFlEUBdAp8LV4cZeQYG1xKFYcElKc9gcQikMCj7g84EEDFGuKu7u7 u7u7FHeH9YWHlT3ZJ7k3mTlTJqVfUt+IIAgyiA0FQQxplI0Mgnkkkk4r5tOZ +KggSJED6E85FrKIBSxhMeVZxnKWspIVVGAMYxnNeMZRkWmMog3DGEpl93WX G2jLetrRgypm8fIx7ZnODFKpzRM6MJNZzKYOT+nIHOaSRl2qOq+nTOIZyTyn V/g8s95yBMOpx0syeMFrXlGft7zjDR94TwKf+MxHvvKFBnznB9/4xU8a8oe/ /CbC/QGNPGeWWchEJCEa67PKbESRg+w00eeSuclJHqJpqs8n85OXghSgmb6w LEIhilGU5voSsiTFKU0pWoT3wM70oRPJtCSBVGqZP+QR93jAfWpyh7vc5Da3 qMF1bnCFa1ylOpe4zHkucoFqnOUcpzjD6fC35AQnOcpxjoV3hsMc4QCHOBje M/axn93sZQ+V2MkutrGD7cSxha1sZDObiGUt61jFGlYTw2CG0I2RTGUKg5jI JCbQlcm0ZiBdSPcu40L//9N/jQF+hA== "]], Line[{1608, 1403, 1407, 1411, 1412, 1413, 1414, 1547, 1632, 1836, 1631, 1834, 1630, 1835, 1652, 1833, 1629, 1831, 1628, 1832, 1651, 1827, 1626, 1825, 1625, 1826, 1650, 1675, 1623, 1824, 1622, 1682, 1647, 1665, 1621, 1644, 1620, 1842, 1841, 1605, 1840, 1643, 1653, 1646, 1847, 1645, 1666, 1606, 1843, 1624, 1654, 1649, 1848, 1648, 1667, 1607, 1844, 1627, 1830, 1693, 1829, 1828, 1608}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlnlcTt3XxkOop8lYadBEEQopFbmUBtGgRHqE5pImJEM9IYVIiSgaFIkG JSWVZiXN80Dd59zNd9M9oIGm9/ze/c/5fD97n73XXte11jkydp7mjou5uLgE FnFx/e+5a2GoQzhtDH1z7zZZh03iZvOV2eTcMdCyE3apuk3i/PZpdfFF4/iy tlKJ+WYCF/f0SRscHIfTscbUGPZvXBZRurE5dBypegbLa3R/g3OupqCweRwP sj/aabz6hc8BF0S5hZhIZOl/thP7haBay1a1Q0xsrNRerhn1E7AOYpgFMiGw u+GagsRPSH48J2pWyIRn043ixNcciEx2TChPMKFuYB+muYsDJbmPfcNbWHC2 mnrlX8nGCwd3UU1zFr7OJJnH+rGx8a7JRs5lFgaXXL5bp8JGkeEfNYFYFgIX YpL6v7NQHXjGK6SUhdw1AWU9pixccbEadRtgQTivJdKmiomQ2+/XXh9lwbrw sHHuByb+NpneD+GwMCDmlbopholl+jmGT6ZYON1ncS0ziIkLXfYmz+ZY2Jn4 J8Dck4l33hr8KvMsGAdEyom4M1HIzyqspfhF5ItF3a5M/Dt/y95pgYVQXm7J BBcm+tT1VbIojo/jy7/lzATX/w82nP5/MHFps5iLPMUfiTEBQ0cmKjIy6o0o HjUqL9/iwETn/qaoZxRblK8w49gy4ZpJWg9SHH4/XOzTGSZepP8QU1nERlSn usx/p5gIlVZV38HNxg6pIF99AyZ4bj38vXU5G/ZFvf8p7GBiUiLZRP4fNhYO lf6SEmciU0BDT1KAjerVc2+VlzKx9qlBygkpNry/3q7L8h8HY9JLTW0HGxFW c+lBM2N4JOGXka3DRuPzEqNrvmN4GWfR0XyUDfd1Nmln50fxpMHELcyBjdbi A2+VAkcxJ7nvP4X/2EgWldEybBxB5yPNj50RbIQ17/68UXYEtcZ+kXGpbJw9 ez/S9uowfq6XfuFdykahT4p6YhsDnhlcB463s2He4PktVo2Bt2b7/+wbYaOh e/HBZTFD8GkzMFDl5sB2LONESO0gpGzjbdUlOHButkkP4B5EwHa+63t3cvBB RPK3/YEBHFMVElfT5yAl/uPhgrv9aOb9zC92goNA+21CCq19OLLeJ47mzEG4 4kW60cY++PyOSvK5xMEr5/rZHt9e9Is2PdwVxEGh3JELOg97cDdTagEPOQid mr9am05HhsuqmYCnHHCvZR77/Y7E03bTNWORHGRXvQkpXkFAxptnwSOCg5Va OgHGQd1gBUhtXhrCQXoejbmKrwvMvez96f4cSC/d0xSX8B1JOa6vFJ04UBES 4fIY7EC2ovnRCD0OEpq19/Hot6PNM3SLlCQHdtqdDZ3FrRhWZcWsHmfDLMSH ceRoC7bc1xSp/8jGd2398a6FJiQy3HMLL7PRvO1LU3t5I16rnD5sR9URC9pj aw40YIph/ag9gQV4D6UR92rh9eS7SksNEytcPF3TJKuR1TgZHTM0DiPxpSOD k5Vw+WCsIzM9BoO8m+fiVn7FpcNd8zpcY6j1TbL/4FIOYkb3Q+niUdBZEbN/ J8ugxpZIU1w8gry5alPPT6WIWae3vY5rGHIuT2X1Xpfgu25/bxYXA/sm5fRX XimG9O1jPi+XDMH4TYPECVYhXunaFQnzDaIj1UhFOrkAwny8MBIdgPH463H+ F59h3K58WntrPx5Aa/hFTT5+Kr6+WWjQB36pZCgr5uPr1K97lud6Iap9fEtn Th7ifaMM/SJ7QKsxH/D0yENte/I/jtl0aMRM7dYwzsNmz59iOnkkJLbMNqpb 50H+Wm7ubWkCiy52rX75LA+CzTcqrsd1Q2S6Teccdz68ifeq/Tu7MLH1l6VG TD56JBKt9WjfoRp1XMTE9jMKn3at2nCtE+I+8wozFwpQ/fmnd972Dlx0yB6I Li6Epm+a0GqudjAFlf+mGBZDqTbr/Y6hVjhFycaL3itBwMuV6UIDLeBVdmdZ hJditjXj8+vpZhTnqWqdLyhD+qaGG0zpZjw4ZDnnKlCOLF+rexGbmuCSLDG1 4k8FxORkq1NMGpGv6h3kofgN/rEHJVxlGyC++k52ZWI1Qgo+rovuroMZb3eF umsdJmg2pYe+1YL91LbomVYjlJPVfHh6a7Ate1/q/EgTBG35g8Lka3D5x90V Up9bkH/H71vFo2qoWrwvPpHShntWdbH5ctVQaOLsvpPVgWaVKPOk9irYRHoL iDV+R0aoCO/I2yrU2naeMZvuwuIJUtz0VRX+mOsvcXXuBi1I8G97XBUcE2UM H7Z3Y9HeizS/6CosjuMezdSjoTCDWLH3WRXMHouEFmTTUJwpxRaKqoLdtENn rByBC72ijF+RVfDdvfHKgUcE4vVyfPqo+cp/J5SjuUjUfKIntsRWQfv03eei 3SRStbSKC5OqkN+akfXlXzp02/4Rv5FVBft1VV5KX+mYtHGQ/PulCl3v47/x bu+BY+SUBn9nFdZ3nNohHNUDi1JlTiSrCtzdwh0i8z2w8W69HCBejdPtPesO Pe9F7OjmDf+aVmPFBll5ie19EKsSacm5Vw2xVAXr4aI+dChNuqnVVSP5tsHE Vv1+GJaLfvATrsFzrmdKARX9qOrNXtjpVIMHrd9cX+0dwBK3bUI8BTWQrMr0 dkkdQKKj7LHg7bXIHKDNiW0ZhHLDoH3xu1qc+tw9Exw7iKmmpZcUVOpw8OSQ 2BKqro5OhnMZltThps4vwdmTQ9jA1qzItqhH3mGc50keQl0mp2UJux6N5x9f axwZwo3dXxLawxvworhxgEeWAeaWNytGJBpB+2Ap42bKgGBwUZN9aCOWNkzp DvkxcHX7tIsPdxMivuBpeAwDPqbLPzX5N6HkeCKjN4OBHiuuss1zTfBX69iq lsuA5QqhINXrzUh8dkz2aw4DNIHg7nfcLYiNqghIS2Og5OyeEKMHLSh+ONvb +5yBIAc3mxrRVhRJDCfrBjBw4LaNU19SK+jetanh9gzUGk6biBq3YWJTvNVz DQY4uruOj060gSV81OYILwPD/D/uD8a3I4Ur0s2jZQjP1pc9CzXuwG+7q4YR UUNgqMeut5uhfLv267vDVkM4HJin8T25EyMexy/zCw8h623sQccT3zEgOWa5 v2EQrG+bOr2W/cCqyu45vaBB/PZWGO/7/QPyIfQN18QGYRRRqnGX7MLQ6//s V1F6yXm7n4ku70bOyYXAlt0DaLhmZG30kgbXHv0bfqX9SHteJlPmQ2D/Gv7K moP9EO1wbpPbTyLddtmiW/V90NzGjn85S+Lqj8eOZ4/2If7MByOmAx3Vf9PB KOlF4ftd9t3FdJRcNq+pVu7FqizBp1MCPQiaC+e9lUD5ddeviJMmPfjTnClz V6QH8Y/9tc7f6EGsdfG0yWM6npukO/x51YMt9GloC9PxdVj1w+q8HrAXNZ1y PkCi6NKZ6P0lPQg/t8k0150AY3/YxKn8HghJaS0Pf0fD19mhDXFve3D9scjx d9w0fMnZc/1aSA/OzVrUW3t3Y9Zs30KCM1UnM/6m1+a6UFYuWjywpweLhE54 OMd34SVtdfsGvh4Yuvud5DvVBfVpV2mNDjp8d0gWtVJ9didHbddgAh0Oio/m C6W7EKPn7lDjRsfKsI8pRzd2wf6Ev4GVBh1rfDzIgn1dWPjLaqnmoUO/F2SF axeS8dLy8AcS4onusTmpXUi0CRZoPUUidNm2+qKZLijdDV9+ay0Jn0Z2pZ5l N06PrOXI/iCwknvTzmf53dixRPH6kjQCd+qXcvhladilKLWY9z4BHvpmD/F7 NFSU638ooPSrvOM8d4tFgxfxUL3Cg8BFJl/xHl0C6wRK+U57EghPPNwyR/Un yX0VL0suE4hgc4+epc65mPXGduUdAtYBvp8815HgvVQz4RhDQK6mRd3UlMTK afc1NTkEAqQCZ5/4ktgmsTHZsI2A/bkh1ro4Eh/t3t/WmCcQnGSlNJ5Por8h yV1YkYRYho6kVjVJ5Zc+b2RJ4mSCqMySOhLe/VfMnQJJlMqmhgWWk9DUXsUv 9J7EkzQV5l4qT2/8/tWW/E75zb2KuzqSxD88j+WfzJP4c/eg6Q8fEjeq6Crt QnSUOqZUS5qRWDcR/He7LKVPwmbBK1T8D8IOzT1TpsPvVNOedpIAMyLGfGI3 HXkF5vqP3hCINBMsvrCHjuSQoj7/iwSc9wWlBWjScfBIbGa7HoH2xS/UvqnS oaLovXQX9R3WqH59kVeJjvZXh6MeLiGQUaaj5iVPR/cn3YXcXzSsOvDu9bgk HaYNWqX3h2mgDYmvZ6yh43OijEJNPw15XaUvivnouGXb9HXFAA2c1/Mj1Yup +tGQSGil1r8YDMhJ+U1iWWxBg/dPGrY48HdqDlD5MRH11Zqn4fJWKfqbDhLn 3BOqvPgpHwSGlu6uJTFyXD7QRILA21jVi2u/kHgU/ltefBsB15B7d8wLSEzb aMrL7yMwdWuf3/AnEo49CzsbTAhovSoPLflIInivtO290wTq/uSNpVHsEHNU vM+NwLk7u4V9qPXm6XID/10lYLdK6Mh3SlfLkqdTooEEpsNKlj0oJjFcZtFy P4QAlxZ4dStInNLxGq2g/OVkaHb7fQ0JhTLyUe1TAo4GE6+2t5Ew/Gf3GmYU gVANHosygsQS8oC0fyQBwWOduRVDJDrPH9q/7jH1/+plUpHPIuH0/uvUJWp/ W+URhu4kCfrBaLFj1PnF0Yt4t86QaN66qO2iL+Vb216uk5Q/RGoKd9y4QICz Ole2e4GErPDm7StcCSgENz+Zoziq/YtFjQMBt4TxyEsUeza8m5SwofKRkPHW inr/GHuvn7g1AV//5PpSqt+15T6ObjtBYNIj+GHlXxKZ4SIZ5scJdP7cPx84 TaI+WHfXYwsqntzbdaup+I4OZF4JP0pgidLf4Ru/SCxOv3FLh+Jjn8IVWWwS SfVZm2P+N89L4/Zmkji7M1XiHvW+uu7KCZkxEmFxfIcmjhHwu1Owg2eEhJ11 TH+5JaXvBtzaySDxU1fDlrSi5h9v8TQfJLF3K2dnBRXvqN/1lb/6SRzu5xhV nSGwp+9v9lqKfyYGvC2xI7B+QXEgu4+E1wlu+9uOBHIYJk8qKJbcW9Q260yg QLvYSZ1aP2ocvVWQylfQ+xzh9ZT/3CwUn9PPUf7XEGg0oc6TvCSpsIrqvxZS ctdSKb2kYzWXJlEs/+VYtPAwiSGbLudkio2z/wr6UPG7xMZu2kHxhekTB7JH SfRNqR20pPy11fXdbAl1321hey+oU/sPzrQmhI+TSFH6mcU5S+Dq1ej1MlR+ qodtbsa5EBiLPhPjQbFXeNx9ayree+0M5ZsUC85wLag7ERhRjV1nQ3El36at OtT9rksb0ddQfDPk9dWblN4dVt62KdT+Alqr/GfsCfxWFGlxo7jiefybeorT J6ZSt1AcfOGC8XuK/w8H/asA "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3k4Ve3XxylTCqE5FZVSJEOJ0DckkTyFJpVQVISelCmZUkSSQoXSMZQh EscsmTIUHpQhh72PzBwnMpyDyrvf3/5nX59rXfe67/Vda917bRkbZ1PbBTw8 PBt4eXj+/13l6Xs/SHUat4LDtp8Nm4acjQB//MFpyLyeSrVTm4aOz5K+hzem ca2v4OMmuymkjGx/4kmbxr4ty9JtaZO4LqPV7VwzjTSzZ0rpcxOof3Yz5RF7 Gq53dGLPnZtAf5VFbpskB17MY6PfPv3C8ZlwGtQ5YM4y7e/s+oX2QKeW8jMc KF/dqDmUPI4AC++HZ7w5WHFY1yhi4ziS5rPMNaI4OEGz1kqvGsOKQoXlL9I5 2Pv4t6Gk4xgqBpppAZUcfPAS35W8fAxLGfTy0Q4O9jf+6Ynz/YmV2/3VWsc4 qFrwbZb5nY2hFYtVTSY5kF0oUuD+kY1D/92vL+dw4Cj+UHBbEhvxjOCFu+Y4 +FYxkzMezEYRN6aZ9peDAuG8iOZrbOiFB9jPULxq4ZDSHic23kdnzhyd58C4 xE841oENB5cNvskU79C6KcN7hY1LPlt1vlH8V/5AcfYlNnj+93Bh97+HDe+a yyXyFItEKIivtmXjyW2a50mKjeL0vny5wEaNfRY7g2LT12KWytZsrBNZYCHA y0VDhLjiU0s2XpaHFZ+j+B8Pbc0/Z9jAt/7sT3xc1Ob9bRfQZSO7vUxruxAX TxMXycnJsbE0INk8ZDEXNYV1s1aibOy/v35mUJSLtnuim99PjkJ5/+aZjs1c pL0hnNuNR6GxM8hSZS8XEUP79lYns5ChWnCQZcKFf9+nF0eFWGgNDa/iv8AF Y+72jJHDCHSmRoZvuXKx0japJKxpGAUd7evzH3Nx8YAvPZ09BM3zs4evpnPR +pQ1FSkxhOPTWwdCq7h4x3ultUdrEEKt9uYSBBeWZ0TKtR0H8D2ke4w9wUXI GQde84R++O2plVotNAM/af+PJNGHlN0jZ0RkZtAzoPvnYnsv3DuP3X6qNoN3 vv+IHWL0wPWFd0nsoRnc/JUpJD7wA28rZA4uPEnxrbnqM3PdiA6Ou55lPQNL KXvrlpXdeFOYoPjk8gx2K+h80dBiYnRkxOiRwwzcK/76JzQSENU+kTNK2dXl 1XSWPehEZtDqpr/nZvC42+NljG0Hbp+d1E4wmoFIvkR/6tl2vFdz2fNZcQba rU6/26+1UnUk8fSG8Aze2HtZNtG+QdPgs1duFxfShQffH/jZjPvM5e75yVz8 sU7bxDjVBHF2LavTkoutEg86HBT/g59Iwu31wlzEDGTn3eF+Qd/VHcSuNA5i ENMSKlKL9gjVmFldDgxkN+/ytq+CEdfphF3zNGYOxOZmLa6Ezp/6VH+Lafj2 X5YVHC1DlFrfVdvOKfjZrAubWFSKIznWfFtPT8H/2eS8VVExSppd7nY0TcLy 9L3tBVUFsH/H4A80mISL6LgeFPIQpbP1xsaiCbwWNbML/0GHrMG3hQ93TKCS /nXsMzMLZYfnVkTE/QIUTU4lrX8P8wiN4ocz45Cs2iNzNy0DzSy37iFzqs/z HfTnX6RB8Ynb/PWsMbz+xzAujDcFKo6VB5skxqCvNnQq/tNr2JYXhEmOsqGh Yn9qQWcimtt+RwsWj8I7JJL1TD0BSZKBqmuesLBvG01JvokGg8GC9KLrI1Cb Vyhc/eIV+OmiB9XPDCNcutjHaHscZqZMzpUYD2GjwGdRF7sX6NF/mZIwOACj 7blaWy7GoPyaBf1tZD/6zc8mJ9c8x92e83/izfqw1mB40+E7zyDn0DmwbWMv 9EIGzy8KfIo0aZv6Wp4eMMMMdn+qjYKXqqcvl92NlAGhSxl6URB661K3gcVE 7Cn3a/XsSMQZG9Ue+EmiPNAkLaUqEvV+SlofZQjUvFPK4auJhPay9htXnTox kKpu/nosEnYLzTzan3fA0dHD5ceRKFy//rJYq7cd4TojpaqdUcjI5GxuPNyG gPJEA3bMU+hydq1iNLTAXD3Z89rDZzjH8jcscPgG7URxdYnc57CfqCzukP4K HfO3VlIrYjDY26xeyWqC/qW3mtVZsfjQ2pEi6NWIPbs+J9xSjIOsGVN9/ekG 4PT7jFRJGlwdo//Ycb6gcDpky8q2eLQ9zsgXbKgF64C85oORRGS53GIEtFdj f+I61//OvoHpCyNGuUQV/ij/dr6jnootziZJ8+6VGFcJ33LgYTpijiXz1QlW 4HLI7srOvEwMOqZI8heXQc0+xdOYm4Xr9gG19Y9L8fE2a//BJznI3CBgJS75 ET6baHaeEfmw/+4ZlaD5AWqP6LpaQsVw5im5NR5dhPF8Ofa2uY8YCy4aezNT AJeKZMng6HJsWB7hIBCVjx3lKj0VsZ8g7aRRp0LLg8L2xJ/FJ2own/RT1r0h F9ZOl/9anv6C46y4gbtrc9EloZGemtSAsBbJezvv5cDwgVSl9bom9CpKH72y JAeftS571wt/xWnbSo7+WzredrlePb2qBXs3KQ9OXqBDKjXlPa9uG/S4z3eU KdPR8pBTGOj/HYWiFd+XLqPj53m1S1FfGVQfvaJfXESHopvp/PwOqi4yTSVP LaWjQLp3SkifiaDMyPevttJhdNxda865G7tLR/8VNaGDX+uUrkjED0gLzo8H +9PxYfnWdVXpPVj/nZ5V9I2O3hPqT4SnerGX+UqkZF0O+n1C54S+98FE/dR5 uWs50NzzQ1g+ox8/MsKnnb/kQH7Q1fO5ywBWV/d7rtqZC+dYuf4BuUGE0wSF sqNzMSgfv3VRwyAiTXZqdYnkYWmS7n6dC0N4+zreYH9QHsLPlhQsHxrC1GkT nkeL8hHU+Jxvn9UwdOv7y5XK8jFDl1K2Gh7GGgEpc52AAtz9Nfln/twIaJXt qWamhVga5lvq/WEELhu1H4vJF8FaKkxQbTELhVn5hTtFi2HAs1fNypAFRdqe ZT5zxbBW0FQU9mSBph7i0PrrA0al7RcviWPhmZHj0TWTJTguoNMlUMhC8U1e FY35j1AJTO61rWMhVsWkY1lwKZ6byvRZt7FQFKsSc2N1GUoueSTyd7KwRfOL 9of0MqTbsX+qMFiQGUrK22tQDhGxlUsTW1h4XBawP6OvHIdXS9RzvlDna+MX Xn+/Ak/3eQxnlbCw1NCb9Ui5EtKzAif1Mlgo2T33W4SshKLRzfyFMSwYn3m7 PTb8E0zrRrz23WUhvjipW8ewCvIZBd5KjiyI6E+95xOoxuslIgcWm7EgeOwH nHuqwShIXtWrwkLXG8kjQdU1+KfaM+DyUhYCv7lnHc2qhd7nAsEPIyPY+SzV 51PCZ8w1GD/9UzkCi+08VmTMFzioCZ5A7AhKB73mw6PrYK627k/4vyM4xEc4 fYmrR0tR50JefSofxvyzm8ca8K/fU98HwiOQsCmfl5dthKqIyyr1+mEoOrZc X9TWCPslhSrCocNoNO7NdAttgp+HZ7iA0TCy+WwPqR9qxqd+dsJOvmFsLNwZ yiP4FdTdmhBYNISUeR66e+1XXAlYel/82hBWOXYluhV/w7XMqx1ZYkPQGHBN epjdggBe2TVKaYMAZ09waXorChvrhF/qDkKOb252JKUNu18uC1/TOgBnhiTn 8+t2rGi0vNpgO4CPoqTGRPx3bBWYbGOP98O27CyzzbUDzZcX3FII7ccOm5v3 Vx9iIG1bc/zeLf3QexXzM2l5Jy7LL5Q1+9CHc1NuVy2JTkyOf03NN6X6RTeQ s4bWBd3aF7O5/b2YvXilMf0sgQyHm2sSPHqpubazycKMhMH3rRO9zB6cetie YrOWCe33sXz9Bj04JsEQ+u3HhFTYWCjx7gdK91Yv39zJxK5D/CnSa34gKdNi e5FcN7ZFk8niQd04sSbEcsCuG6ctL6XIzDGRlv81bmNUN9h+UYFlN5iQ+Cbv oZ/bjYHE+bx3LBI+5nVmodXd4D02ucxhAYlfQp17XnzuxmSS+8Xl1H3CSfKi uZd2ozk6z6bAqQsy+vLP3VO74Z1T8H6uphMBRst6NIO7cfKStZWodicWhyhF cqn9Z2k+NxXaGbjXvHtX0L5uaDh8zCQCGditE5WnLdGN8Cz/2/zGDPAfv51w qYeJkGWpens2MyDnURd9MJsJmYgtmeViDGxTbrzNf4eJoaNfF2SJMPB18w2t bDMm7kx9NP5PigEPC9dzGVJM5FTfeH7kAAMF777qvflKIqXZ9L6ULwMH+Bpk 3d0pfRU+GHXWMUAc8n9mu43EmvO2fQNbOtHvGSngMkAgbzLi7fXgTsz5sM6t zyYgfb6zOXmiE7xSfSznBwRM3WTPNll2oUf2mO1iFwJjjvVrnGu6kM2o4Oy3 I+ArHKRtSelVtb63dp0tpZsPrxormMDFM3ymt5wI9Nu72w4SBAT/KFqI+BHo UzRuf7uVhP0Ll6dOMQQe/grat+EiCY8fQa/OlRKQv3rE1/YZiQyLQm+VEQKe wnjgVkxC23RObmQ1CVkZfhuikYTwk4a8GCMSJhKldimtJEKflTR63CJxKuLE lX/+I7FBP/hyfyoJ94uqrY+o9eo7uT9utpHYXZEZfPYVSc0jM7en50lslUkZ yvMi0e/EuFkozkSG9WHHVKoudwbl3YqTZmK+UjtKgTpvMcNGNU2eiX1q8osf /ybgtWJdCO8uJvTtNpVzmgicVrYoS9Sg8nEtkx6RTMDYlvM4jZqTW/3Mld2p uNfNXuzZp82EorpN1b1zBJo3K01FaTJReJjX3l2bwEElD1PuHias0hIa2qg5 x1/PRWCZChMnRhTv/RYi8B/n7VDMdiY81puqKE13Qcww5NSCjUyU6/xOdxvq Ak23eWX+KiaMQ+hhtB9dmMsflZETY0L5TSlp3N2F29yL2+j8TFC/ki1jvV2I trpRd2GGBP1b6T99rC64hjQu3jxE4qVyxBI5bhc817/qyO4gEThis3eVAIFR jydqNg0kut7N3x9fToDgFBnaVFJ2f73QX1sIuN5uba6jdBYQ8T19QZ3Apqvm ZvF5VD7ublCNMSRQ4faquZ5O6T1Pk+K3ICAQv2aRHMWNjDvKm64QaNleUeOZ Q6Lk4ePqR64EoiR9vAPySfhrLrNa6E/g+HxN2hzl/83sSV+jEAIQK9J+XE4i xifgicljAmKa69O4NSSkDab/ij4lcHJJS692M4l7rUdE+KIJvKrMu1rMIHEn RSXu5nMCJi08Kxi9VPx2TyKGIwkcqlvquHaURMCi+VK+RwTq9/qFrZsk4Sbm pOcSROCRt1IpjdLLUXVmVb8PAe/Qo8zAPyTWx7y/t9CNwH3PmrX1VD1N/t4S e56qe9n+zUsP8DAh27iaz5Xqky3ZVYa9lD11LmXt6/NUPXQ9PVr0l0Rl2Zck 2hkC2e9pZ1dS/l48iD5ocYpAk4cEKT5HYv/a9sHW45SeI7TKSi6Jdo+3JSvN CSweu/vMcJrqh4cTQyvMCHwVyi3LnyDhLHZIr9aUwK1x7zcjYyRKnb0276Ts K71KJfeyScR/Nq4Ctf7f0rWBhSMktFpH7QnK/1mbK/I+VP5DBUXVWCcJXLe8 Gx85QPXP6d4QQypf8Utv8wv2k1j2gnasjbrHtQinWpLS7/sq47wLVDzjUZmq khTrDwTrDlkTiOx0pr/sIfHvA2wzvUhAsqtq3Iti1Q1JEyGUHqO5AgdeU7wv O6g68DKBC4tlNMSp9eV+qcF77QnsyJ3grO0jcWRiw4M9Vwm4fTZa403tX87R 4Dg6UvpbHv8sMkjlS0K0sJfi53EKexKp8+fzyPZkUvzMSmH+1zCJNqUjv8Uo br+x9XIuFW/AE14NL8rfkR3afnbUd2BQWLG03oHA/wEhyiyc "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFl3k8Vd33xzUokSgpU0UkRaEkhA8apJkS6kmiEmnAI4pKISqZInWvmeKS KSGZ6xERmZPrnnOvebhuKcnsd75//c4/+/V+7bXWXtNer33kbK+ZXZjPx8en OI+P73+r4a6DU3Nzc3DWFTi2uaQEMX1JKy48nIPtK3pFr2kh7sYnXE0Zm4Wl D4/uUJKPk7LiZjusZ7HCyV7nQcJb/PLcG2BQPoOAV43zbEey8dvcNIQrOwMF uqmanF4mlm7v2LbnzjSEtbKLi3XT0L/D7cjO9imkHtUNEvySDCPxxmkz0Sng oWxl8q4kTAUwtrP3TUJ+tXIYbV88mGoLAvZgAvXvx6etEYWq/VsMtumO44ie 4aXlhyNxrr1oQBh/8SDd8rG0/VMsfxZxuX7/GO6egcH5YyFgSLIE1536A2Pa rXyNt49R7VdoddZ1FLvF3p0eK/MHsfjhmsrw33jaKKjgGuKL7W8HVv8N+IWr 5RL7Sbt7+NQZUSnwaAS0m2erZ1pvo833hnVx5E+cNzoc8ubPTWwNIcpc7X4g rKv5uFrXDeSnjP/7r+kwVDfFeRWNucI/P1Rn47khzEgbjD9/74xFJ3M/fgwZ wK8TDoIyC66jz21BmumjPrgd6xRK4Tlh9+DTOtPXPbhc8/lF6RtHjN+8d6iA 3oUPDSYqLR2X8PEJTUCxmIPaM4eCnT7aI1P/7XaBpWyYTKtzVAztQfxdq3BK gAXxsYO5t2CPe6fptxqEv+Nz5JJ6k2WXMPmaFXExtgU4Maj2rM4Bd4rcrEIS mzD5ocohxesyDE8LJ5S2NiBtjnU5I/4K8q6fdmdo1EN/o9KS4g3XEajwveSL Sy2ahPQMNn5yhsqUckPTh2psOT8bn17sio1JHZF/zKrAHQnn5UndgOovOyWL NZ8QdqRjL8HzgIfM6A39xI8YjlHKTjK6DYZ9zY4/3WVQa/n8tFjlPuzSp9wT TpXCw66IQZzyxd4Txzx+ShVjlaTPj+cdD2Dd6qxhs7gQ5kdlQ51LHkL0eHpU mUwBzLYde9e47Al2sDZz11rmw9zgl7TitRAEh8+fLs/LheqoQN/P2DBILEl9 ne3yFmvuDNyzzg1Hlrw8qbEnBwtOnl5UsTQSzWEPOQs2vwHtnnL95owXqBtN usRdn40I5wMxXglRsBYx1qzfkoUXGg5ucb9jkSsbbmAwnYHV+avjIm3iccNX VqckMx2ptnpBhv0J0PHxubvX7TXSHW0PJD9Ngpum9ZzQoTTYT0zuar3wClXu GpWm21OxTW6+q6htCup3ONTzRFLRUma/MSA5BT5ffee+chkYNInyqBxOgaz0 upHRzwy0iexzqddg4Fp2p9GZZAbWitTKvfRiYKmtke1QIgPDK3VMSB8GOkQF ttyKY2AbP7+39GMGFpVIJS6JZmAsJu+TVRgDfhqjAaZ0BuarSV2diGCA9uJ/ 3/+v5w5lNXVGMtATvF9Ym9LTsz+rpfKMgReH2xZ+p+yqSvWeLKXsyFxkTkmm MFBjm73ueDADfUMD889kMjB0MyWsjzoXJwKlEvIYkBKbfNTmwID6b8aSyjkG IkL4w4T2M+A/JfqhyCQVQvnu+70VGbDn8Z/xC0+F+x3to5r8DJiaDU+sZ6dC WuHcmPFEMgr4woOue6Sj5ezNAvXZV7gvaHBknVIWQgyFpFTFXqFOU6DLIS8b a+n8/X47X6LLIquj3SEHpVY7Cvwck3DMta332N5ceCsE7/JPS8S9Y9qtZQfz ERvPsJaTSkQx/11dQbECBPc+2LM7NAELt1W1/DP5HgsGtyXEiCYgJlV8o9WC Ygit/KvRHxmPhT0Pg1+oluJTntzTb4rx8E2s8DlZVoZstngAkRmHvbemuKWK HxDUZOryyzAOa2yL1VJefUTi5TZDp4JY9O1vKPxjUIFLyyqI2LkYfFpu7Hxl 7BNyLVWWNJnHoPS9S1JqZRVSdk1pnS2MRvV7AbHVudWoT1+infAjChl6/lGr vtSC5WUm1mgUBdux5WcWhtbj4URIWnw9HeUG/soCvxowozE8Kn2NjqDX/kcy zzfhy9zV51fW0PHSYWk5s68ZcbbLYmvaaQgo9aCtudWKC5KrLV1f0TCwvfH7 W8k2vOdZtuv70aAvoRpk7/Ud44aFvQJXaOBtTNkU3dMO3+rXO6+eoUE5+uuZ /uMd0OvYfE/kJA3+ven0igoWAuoCXUMpPqL/Sidem0TKh7CiKGsagp1m1v44 ycYhu7Rzq51pmP2ibWSoygF3flZtTyANTfrpm27wd+K1r8en0GwaLoil/D3R 1omKGvODrwkainUEifxXXWCcqLlRK0aH4LWSDWHXurEn1cMy/Bgdxcxp4T/q PfCwjq58FU6HhL/OP2LDPVjbvVQ1m6QjYrw2cHdcLxhrHhy/qB6F6/H70/gO 9kG1yqRIPyoKrraCLzqW9uM0p2/zoEg0BGQqeA/K+3GOO+L2wzUaTeerPhod GMCTlZlSR1nRSM6VohtWD+Bc/5bmjoMxsK0N25doOIivVnH066UxKLpfHk/L GkT+mIRT785YmI5ZbXFcPYR8RvGitbmx0Fwx0W1zYwiSoxb/3JaOg1LJZaNv tUPgcuiXjnrFoTxrJiVZn4u7JiOvUzhxUHV6/mtRAhexIc2u1w7G46GdxNy6 CS6SbeOvBBfEQzxg2QWpvcP4onZfdUI5AVEuUmfF/IfhOmFVHJ+QgOddb1kS ZcN4L3l17f01ibC50mKjODIMs9Tl2t7fEpE161ovpMLD1p1EqA0tCaquvXGe p3jQqlKvUL/4ErHNs+Vhd3iQ3PP7rvCuV/i6Ifu8FI2HkBuyq1ZLJiO+3CUz JIOHZQwF81t8KTB3FRLdVszD4NtBL8eRFNS61BXNr+Qh6aPCJTlq3v1c+uP0 ty88JJ541ET8TIW3YX3TP195MO82KOubS8Njl9Pr1lEcbTz3008yHe+N34gG U/IPxePvN7hkwFxErEeIshfpLxOUy8yEoYPiTaNSHhQLI1zPpmZBe+ERg8e5 PKgEVxkaXMtGYpnUzk2pPBy8n+36WfcN1kXyBR+J5uHZi+I6E7EcSPxnYikb zMOkhMPpFb9zsE+ec7bgLg+GU7e7JFlvYeQQnSJ7jYdTDqV26xqoucInzHM6 w8MLQa+em1/zYLyyuPTlAR5iXF7n3GvLR6v/2qI6TR6MT9aJhHDfQTBbwa5f joc2WXP2rNB7eL4NKvgpxEPV34sWSjsLEbKMWdk1OozMYp2LMiVFKH6zMtmv dRhORYz2GMsSPKBf7z6bNwxZP21m+oIyJBXO2NqGD6NyQ8rx2z1lmCl4I+55 fRgWDVueL2ssh7yBpv2zA8N4luV4KOPzB9Q5nQmOXT+MxJrVdYlfPmKOfanV e5yLrYtmBlWZ/8E2eHO9/Bcu9heWujz+Q82p/uww52gu0peyEnqkK/HfAH3Q zIkLp3Cdy7ZHqqDQFhaSpcWF8qHrjySefIb24+RzrvO5mM9UaTNIqYHWVSVP m5dD8PuxZd9QZy32Gqvo/TEYgvYyQ7X1a+thKSe+iWgexN+eNz4XrRpgx2dl 0mQzCPu2vBtrExphUTRWE9U9gPRtgS5vxprwJCbjnITNAKYi7/6zxLwF79R+ u6GpHxcFA1293rfi+Wy+3Fb9ftjkvEmtk2/DmEF3xeb4Ply5726/6cl3pFwU Fs6Y7sXrqhpS9lc7yGMC3Y6mvVDP2en54XAH2nPCv5vH9cBVTTEwk8aCblCy aNpgNypXZunuayJgrmVWMaLeDceAiw++j5BwUF5jNO3ehXRfq7eeHmzM75hZ 21XSic9XmxVYPWz4rev8PinQCX4hvRWBChxw7gas5oZwIPGnVc3bioNxY//d e2U44GuMNrb3pfb7pVY0p7HR8zjDWfIlB7euLCixNWDjXUelalQhBw3qh0Pt c0nqXaJVKl/FwbDKuPnUGAHVs5b5K2o4uMrmetfuI5Cl5LYku4IDzwhhc75s FlQfB/0RL+BgyerFw3qbWJDyfBfCpeyLqyY0bszqgMVg29Y/gRz4/1Y03Lmv AxUuZuv5rnEQ0aliXTjEhFqKj3L/IQ50a57saYtjYntEakfgRg7KhyY/P7jA xNT6TeP2M2yczwjJdt/JhNJxed1nDWxoJdP/7pBiIk/zLmPpSzYu6WRvkRVm ovCGf2YGla/kAiPf8yJMvNSXuXHgMBuM/TPNC2SZ6OyW0H8mz0bRL/WjLXpM dHO/RZwZJ3FlsVL7I3smNLY3p1XHkGh8p7P7EoMJZW1O9cGjJPY71jRbjFPy rReruYIknicc3mls2gHJkdr7hxsJ3L96s2F5dgdqrDXOv35J4K+idffzlSzw XRa3+OVLYG7qzTDTg4US3a1ipdcIzLMxqxRhshCh2hfbcYEAUZYhPKNOYNxI l5VznoCmWk/9Xh9qtWNK+V0mkHaY3nKrlsAG6eQPt24SmEh7stFThISL/IbY zCcEPojZybntJ/Fjaa+/RjKBJ3fcL3a7k6hKqr8jXkHAaS7O8kk0iUn+Gvud nQT8bb1jo/NIrF34a4nlPKrflI43H6wikcX/vPSbHInQzefK2Y0kaM5Sf2V2 kyBiTaRLW0l45M/WRZwnwX+yqMe6mUS0R4R/gR8JwTzPRSZfSBzJuVu95BWJ HTPFq8VKSZjRmcZEEwmlk9Xekokk9nXM6IbMkDjZWmSifpeEuN51ttByql4i FTk+5iSCjNvKrWTZeMUa+bpZiYRPjfTnf1XY+Oo4yZSbIOAozv1utIONvbq9 9VrVBFTux+ZX67BBW17eIhhN4ETo/NwJXTYKGt03X7pFYGChU8s2PTZaMubR 3U8R+PnJNDtuFxt6aeWShXoEvhEan9202KBXiZc8UyAwv18zbHA7Gyk6asKm IgT+PDh1Z9dW6t70ZtWKzbLQ/YRfJHkjG7vGZM4O/2QhedfYPCfKX897U/6N fSzk7+hLqpRg49TiHZlxnSxYhYadGhVlY816WWdZDgvHX9t9Yi1iY+N3LQPN bhYsbLSdPSZJlHp339/DZWFH+5ZlX/tJcJ/sen9pnOoXm2sCJt9Jaq7G+mcs pvqm9OPgfirPp74e8pGWJPBF07Vf8AOJdsk9Ru+VCQSfO7Yp+T3FgcdXJekT kDXZbixO1XlLQrL6ElMC9gb5qWpvSeg+NBjWtCWg573VvZjity424lHOBFKl e0uv5FN14jrtqrlDIHxDY1VvIYl3St7Kng8JDDpbrPtUTsLzv/MFfqHU/vpi GVGqb545T3oGPSPgWiam01NHQjNn2sX+BQGfdzr6Uy0kDvoePL6dRmBI/La/ MIuEd2oR5Kl9L8e6D0QXiZEDpm6ulL6DRZSWziAJTrrehH0YAdPRgKzRHySa Ig+dN6H63E9oym56jMSb+Y1eF6h7Ne/A9OSaaRL2TUPfcqh6P7IR6do9R8Jt t93dRVQ8FfRtuw342Jh9xicmcolA4ZVlDxZQfPXMgIKFDUG9t/cUrp8lERVu 6aVL9YfPnW2cLVMk5tX3iI6YU/4USowE/CWp/yGv2dvHCfAvEzI9/IdEbI6B W5cZlQ+B/9oX/yZBf8gRq6d4X6z+i8qfJCSTyQNalHyZ+mkZGo9EnH5v8LIT BCptRI0fc0mY/+vL2U3Z/xgoo/ySine4yHV31UkCy32DR39Q9f+htkD7sSWB 6cWk7adeSj4kb5XfaQLb0pVFNvaQOKy+i5NlTUAjqG35qm7K3/aXezrOEZD6 eehYMJXPgUcxIUxqjqQazX3xp7haiab52J5A0MpxpR8U35KXT6p3IPAgvb2S Q+m3rPoe2kfNGU37uEdq1HlQezClf4WAttI715w+qn4d/u7tFH/Z2lO+Z4CE wAU17xqK/Z2C73yk/Hf5T7JrC8Xm+m+MxKn4tkbmL1ZwIrCJuUmVRrGkcWtX KGW/8JYGc5Bii3f1YpspjnVcmS06TELRbi5p1JHA761dDRoU903wnymh+P8A VNlKFA== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk0lOsbAHAplFC2pJTklopLK4V6JGWLlLgS2bJGlJ2kS7Y2SrnGWt1k SXZuGCJcKXFlzcx83zdmZG0he5b/03/OmTPnd95v3vd5nnf75Ow9zzjy8vDw fMbvr1+BrG0ftG70Qq3dHQWr2ClgFLV9ri7vhZWRe4xPr5uCd2PZlX2CDBDf maVY7TsJ7e3vJZI8GHC+dHsQVTMBYvlaK5ZaGBAf0PhaRWYCjKRNifUqTOCw P7P9In6Ar4jPmq93meDTK7exb24cEqyOW/6zjAXcBpp2lfU4tESHZKR7s0Bm 0cItvGUM4oJz9fI4LPAyDH4MhmPwgu4gPXSaAM8hDROzj9/hr9a/Nbt6CHhg mpKxSu87DCR4pc9YkaD0eF7zePw3iAg4c9WUIEFD/Sj5LucrwIq4cm9lCpiJ e71a27+Ag9b9+pFgCkI+T8YqM0ahbFpLSKWRArGObJ7CqRF4Q8/sUFvLBqET 5aan5Edg9n3QnUVzNrQVR1U+vDAMjWMVaVtesuFopvd8v/8QCN79Mh6+xAa9 lKzdO54OwoA6RKw17oNQ+rW6ht4BoA8m2OUm9kFctrdgvuwA1H09LMoa64MT PZ9dIrU+Q3q4JL+2Dgdm3tqemPXsh/ZQr+EnsRyQDpAonn7BBT9tqaqGdg7E 3rRuGh3nwISTqdeQDBfY2sqNS5s4sMp5T3mGJRdOid5T4jHvA/fvF6fpd7gg ksBUraOxobW1b8vVCi64aGmH33tNQWHiGZjq5MLPdLW/bIdJ0FOdkAohuWA0 P/x4lw8BdrdyzSO6uXDCN3E1dyML7t+OYn+q5kLuXrv8k2wG8K0aVotN4ELd YOue0/W9INKZPT1vw4X5+8MbR+s/wVfTD5xijK/yWZHrWk4PzNdKfjhayYE7 xY4hQ5PdsLtzJOzVSQ6UKrxRo+3vhjU6379w+/rAZTbodszLLtgR45El6NMH JcuLRq7qdkFYAv+dEN4+qNTpMvNd1gWHDFlnnePYcO9yXuSd3k5g5d+8SJdl g90qK7MHbZ3gPZF3a38RBTOTHvNH+jtB52vHdV19CgxaY6q3S3QBTahapyOZ hNbNjUrbvbtA3e/w862VBGQ4X15cOd0FkYPOZXdECWDYXFQ8ENoNY1eitU2D WBC9TMmyZWMPCFJtfPxTTMhmhqZ2NfWAbFhmTMdNJoj/K2yzKvITgNxUScp2 JvS3b6T1n+yFVP92x5leBrxScb9WvYEBarV1g/pPGGCevXX3xxEGTJ8yfirj yQAlusrJ1iUmjHEP+oVZMeD4jnK/lBrcJ/bHzrn/wQArrsbz3kACzI3yX3Mu MEC47PVKgZ0kPPHLDBq8wgD/CLnKufckVAi/dfSJZcDPK6wdQbspKDLT9b1e xoCdwY3rjb0p+NcoVWqhnwHLHBcYy/IoSMrq8ZVWZgLPnb18Zl8oCAsL7bO/ wYTUwrvDtzez4Q+ieGBnKxMku4u36h5hg9FLpknZVhb4/rOn7a0pGyimXF1u IAs+rVAeTLdhg2PTEdnqjyyII2eOBNqzYe71h4EsJQJE3sgkrrNmg3DxuSr1 SAKmLhsI65qwQc5E7udpgoCiizMcSpMNcf6h/uQ+EiasRPPp8my4FS1/cTCC BI8uk/uFfGywUhY4Ft1Owu2z+pcecChw9v3gOStMQX7yrXrFagrMv4GchgoF WpJrD2gnUJClr3q96QQFB7fav17rR8Fv7pkNulYUsKLnFeXMsD6u95PTPCmY FZgl3+yjoHY9ry79BgUyZ+Y0j4pR8EB2dcHDWAqatmeJN7JJKIzy0/95nwJx j9zh2U4S6KJd2qceUkC/Ir98/zsSnHqNaXE4rknzPgm/ahLOeQcavk7Eum6Y bKspIkHTP1l+Ch2Spk97VEjCCosVzUo0Ctfp+wC3AhL0zUp0HNCt57K9IJ+E 5/Kbfa+jnUJLxrPzSKD9/0NBri47SALdHP0kswQ9kJUqEPqShHmPiuxWtHFn fNJQLgkGTOEEviQKijctNle/IOGvf5+d0UD/8V/Q+oc5JDgnhZJeaNc51RDX bOzf9DfZ6ykUaPM0L9ankhD3VJMekEbBBuvSTYoPSJjjvK+wfUyB4uKZiJRI zJeus0X1KQVukbakdDAJVpyFpytfUODeZGgXqknCn9vN6nILKVBTGDX/sETA uNBov3IZBZrEQo1DAwEbxQ4spL+iYF+XSSntLgEJjzKMJcux3U53c5UFATMG p6Wm8fn30ho/9DcQoHW4PW817m/+F067r7JZENBhZJ6QQ8EtiX0GD/NwvzyL CqAwviNlq55N/cmCG6Gic2qPKAjWGOxuPM8CWoxnwpcoCj6alGnLarLgS8at F9Y+eC66vFnSlGFBus+2hMM2FGTEHRd/IMACQ5pQ4DE8P/7jpr7MXmBCNVdk RhrXyeCuP/K60ftP5hy12kRBXkX9I8DnR91txeNXUrC8v8+CuZ4FZ3XzvRzx nE23i5+J3sMCs1Td/n2NJATaSmWtMsHx8yIuy2eRsJBifkIS70Ge3zo0k++S IGCuRF2gseCiZXvLJ38SlN14R9JqWWB9PJqYdiKB19yamzzMgl1pGlMjliRs d7opsFecgEi/PN97piQEVN/sPKdOANG8uSfVhASfY280f7chINZlxOLIGRKi lnmJ3IwgQLnM1S/ZgoTIGWGpb89xfvbnH+B1IMHzHv/R/94Q0NDasq/Ii4Rw g1bpZrx3f9h6/ODewHl3yXFsGCRwnCS/DlwXRS9F2F3jBLD8RjbVZpDwTFot zXCaAMsWo86xChJ4Lq77fniKALajvvLjVhL8RtepvvxGgPtKAX9hDgm2FyQ6 QrkErD/YMZs8QcK6v/eJ5XcS0OmuXjO4jALhaeFJ9XoCKsPNdilhfX+W8f8p W0jA5pDnzktCFAg6ZaUYphIQaHOxyXItBQWW95JoMQTE8B40OoH7eF5e6mqT HwG1hQtZ3ejafxiJ1xwJcDNeN6uCVty5xmOfOQGi6rx7A/H/XouU5El9AnqS t/lz8Hzh15Gl8wIBDv+lkyWCFJz/pnw7Xo2AITWjMHEBCvqnVue83ktADo2/ R2U5BSJ+DHDfTcCotNjU5UXcN6oMI1d0pbigfeYUCYbFowW++PzZggGayTfc t+2PbI+pEuDnndGeMYjnRPGN6mANAr40rViQ6iPhTXCYXqk23lPGLO92Jgl7 mgsa3xoQ8NB479PvPST8Tuf5/YApAfcv/wjw7iJhr4XdpojzBDy6QX02wnPq R0SnuakDAfxLy1j26NxLX+lGbgR8+5rzPAaf/3jUeKWaF9bnwpoth7C/5a1/ vTbE94G3Qlpql3px/uqaZTz9CeAJT01cwPHPFuSbpuF9xHc8X7WFJMGmlFZD BuG9eYMMoGO87duPZR8Nxve2bbyaOf0kdPc97+7B9jDX3DBHzO9zZtjXd/j/ eBGl0+O4PxoSYzftDcB8DhVEwxcSbvEVte7C+Yr5bWwKsD6XBmgKH70JqJIo sRn+juear9WYzhUCxGUPOBwaJ8E0nr8k7TIBe/htnHV/kBCS0Hzh0SUCpP7Z eJaFll4bW5rngvmWy/Xx4vp68k5EX8AJ58+hvqsO23tqfvcvxfo8mejmVUEv d5ZRbrIjYI48eMQM+6dLGiwY2uL64GRbfsLx2z1GLOYuEDBdkn5IEeOLEleW CEI/EG0S98P4wXbn8hK0EHtNDTGC99dN/sAI3H9pbs0lf2K+Izy+vA3Y35hb ruDVIRKOT1u1nLDH+jf4+5RjffgkuKUUxnMtzcv0CnqoUS6Ae5GAimn5vJPo DVs28/Ti+k0zWMWjj678KKZYgfnM18qw7dH+UlJWoc4E7J+y00xA2xdlhm/D /J+0hUQRaEaoyYYctALlNHEKxw8PKGqWdcX+Hl63bEPbbJkPtEHvkawKOofx bron3+6OVmBO/iDR7Lj1bUboq9faadaYn6ugm6gguqz9adwg+tyr9Njb2P+o s2SM6Sju74KW/jGMZ1OkS0ASmrO4f+Mp9E/P0q1VaGlhz5XFGP9k/u2YanRU mLr+LvR3wYQNz9B6bV75VZjv3wquN33QW/gu1F9BCzpapKuhxcQiz+uh+6bj xSZxfHeFFRaA3jJURS9G87y1kTqDHg94dSgQ/dLI8HgQWvnj34n6aBWX0dKC X+0Wt1cpo916yyJIdJQ8q2YDeiRcw3kNxnNysKFgDVpjudjzw+i5a+pWQmgv EfaSM1p8T83or/aJqsziO2ipMzn60ujCd33ROWglm1YVBXTsgFxLDdrnib3e QfQB6DBpRa++63HuFPqIzlGyC50SajrmhE79khbfge4/fXNnCLoruWH7O/QB noqwOLSCDiO3HD0bljKejmYllVtnoP81kq5/iRaCx2pR6JbDb/l+1UPs+KtG N/QtCfuGAjTHbPaFKdox/lR/Ftq8/BWvDvqasHRuKto2LdhdE70jX/TCfbRA 9V29X2bGDiZEoUsuK3dpobM4ISahaLVcHgc99P8AKMGJsg== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.49874999999999997`, 0.47499999999999987`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.5187499999999999, 0.4949999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.4999999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnGdUVVe0qFGJBQtYklgi9o7doCbIVqNREQ2KWIkFxdhAjb0kVow9Arao SbA3VLAiGo4VERsiCAgCBwEB6UUURV7eGOeb+43tD64vue/l3ptfZ3xjrrnP nHu1ucrcjZxmDnUua2Rk5FzByOh//y5f8q6duVu0bsL1VbpvrXyUPgGu4T4O j4RNywYUrrENFB5pvriG7/nDwuiP7vc0+kqva6IPow+jD6NvfOJVxFDnu6IP ow+jD6M/opLJtO/7PBJ9GH0YfRh9i8ufTvlyeKTow+jD6MPol5nZbLLxlKei D6MPow8HJpV56phwVnmxpc7pZCu94uji1ahSSLBwWt64tNk7woWb+2Z9FRf4 VBh9h2kNO965+Uz0YfRhyuu+auFzanCylIcpD1O+Vf127bdGpEh5GLnnyy4n F45/IVz84Mu236ZmKAl7LFd+5xKhi52/t2r7iTsVW92gIflL7gvz/uCD6xyt On9xWRj9Gf0tklKy40QfRh9GH+Z9w11OrDtcsZqH4lW8J2fkigRhk4j9s3qY JClrQ1vsaHkq6j35XJ9jWY08nwvHrvN1Lf9ZmmL78c4el5Y9fE/ef6JfRtqB dKWhj1nQbq9rUp73ByOnPPqnrXQzHrTNkvbE+6A9wfgHUx5/Ka/1n/YD0z7w H0ZOe4Cpf/yHkdMe8A9GTvuoOSSxfJzzUWXLkxEeJ3bFKxFXN2SUuxStFJ0Z W92jyTNlt/Fbz+0bHin3J88wHfN5ihKwOXLuUL9ApVvPOZuVgDRl6c/Tfhg1 bpOudqP0la0cDgmfjz5ycL53rFI0cMp93fP7yupHWYPvLUqV/xu5pth2+4ZM 8Zf3gT7vq/uz6z0H7Y94z76v+0U/bBCnF9a2F215mP6rZZ7H++J5MPbxvpHD yPk/uOPGXZG9F0XpLE4ec7CYNUvxPBHaZuOEcOGC+ybLwgc8FD4Z73agx6Rg YRkfDTy7yUubkC7XhKfcvZtw0+SsMP3PpNXvl7LG+Uv7hHm/lvPd/2g++Jxw XLT3Rb/ZOtFvX5QWtc7+lujDlL/RMHH0weAbwrse5Yx0jbkt+unty73YdClE 9GHKu64pGd41877wvj1rWhsZhYr+tQSz1OH3wkUfpnyV+ZuOJq4NE17wzdaW t6tHiP72bebPG8Q9EX2Y8vqWuw+f2BUlbFt2X3OPJjFKuf3ulsHV/5D2QfuF qW/GK8ZrmPbq0zDBznhKovCkTc5b5nsnyfMYf/h/5nOY+RlmvoWZP2HmQ1g7 v2E//RdmPITp7zD+wTyP8ZL3ta/O4qpN+2Wo9hjaI++L8Yvn1y1KeZCSrc53 9CfeF/2R8QHGXsrjD3KeD/M8xjMYfcbrwJ906ctsk6wZr2HaD0x/PLple5N7 JXFKtYpt33w5PPq9+X5px9sNnrR7rrwb9aPT+b6hMj7vajRpRprZ7ffma98B k45X6ZipTFtjZxT5SYzyMOhBWJmez5Ts4IAzBVseKYOuj0sy7pqi/PhFv5Kr IbeVm01ql8vt9kJZenXN9YU9I6xNV0eezpy2XviJw4vxc4L2CodFu99fsfWC cM/53ke+bfOH8Fb7Sc9CM24KB3vNDul5MUj4txjdzNMVQ4S/WPX15KmuD4Xn /nzPZUndcGEzy2GTOi1/LNy/d/T0PhZPhBNTJji9cY8WNi9ImVrVOk7Zsyxy 8Fm3CN0nK2J9C/58v1dWu6dt8r4vvLFWouvk3ZeFqR/YO+1uu7Kzrikwz39t /6bzixYJwv0OW58KfJKgeHR6Ocv1u4dS/n6WW3D09qj39Ce2LXvmgU+isO/y vu2OT0xSmq8YHmVZ96m0J7+Fd+98vjhKudx4c1rE60Sly3breZeqRCn5a2KS 11klif698pU6ne3+XLjeaNsTP6er3DXe1HfntVRht872FnPnpSnVjj6cuvVx mMQ7UwZdjmwxNERZ7Vzp7r4Atfzei590+GFgunBWldHHR75Ll/5jc7znzMXl Xih1B7bILjS/rkxPLmcz2l0tX9mz/qkJYZnCo5LHt+7xU5ZiVTS7bN7Y/RIf ddm6xHhR/aQA4h/Ky3hmYBnPDCzjmYFlPDOwjGcG1sb31A/9FaY/aetPG98j p7/CxANafW18lnLVeserSLU9ML7B2vjs+ymNXT26qPVD/4eJx0IjD88O9/CU /48dvfhYqxWqP+X7XRs7zytGefPG4e7qmARl+PNfxz/b/0hZZFPzaFjbFPV9 pqcfiNMfEx58bYo+rm6s8qO1ae8qzeKUpM663vND4pVhg8fUfO4Sq/icjWrp NUuvFJ1t+ay912Ol323Pwce9kpV2NrFGH206ryiNHlVzNslUJk0/GHLrWKzE N+NqJzjnJp1QIifXvtrOL1Mxjtl7cl6mz3vxHePluorTT9jkH9Jp32/f5wvy Fz6LFyb+Yz6h/IHHZS4EnFLry2Nh3/GPBz5VTvxWoZ8yRo3/tM9n/up97vbE ebfU/j3j/qAFHifV+t43tm3bsePi3osP698e5junSK9syZzulJiixousj/CP 9RFMPAITT0p5Q/uA7dyDitv7q+sRn9AdIdNPXlPM3Fe5Vjusrk8CA44/qPV7 lvw/89PgKpfTpj6L0nW4taG/zsHLulaVRYH1TFWe39a3jnNhmLBP2/weZ+6E C2M/z6vxjYX72zMPRR45OHXGybgQ4e/jey/P+vm2cFp8UNCGbneEmS9h3gfP 927SfaZ5pesit2xypvnK8VeFM+98vauV02nhhLtD2zidOSfM+CPxraG+d5q5 e9+pcEbtn17DkyrFXJHxSuJZg7wgY2LogsPXhaeW/16/uyRYykv8apD/br/s fqU794RNzgdmbncPlfISrxrkBxwHJQ0qVMe32Clh6eP+jEMoL/GpQb7YdMyz TypFCZ+tl5DW8lyMErjT0enhjGjpD+uj71ac1EMdD/dYLR6bUU8dDwPehVUy irok3KLLugWfLjoifHLWOtMtX52T9o89zGf8v/sXl2YO264XPnXlxznfznim hHRK9N9ndOc9feJhyr+peS2zWwN1vKyzyy23V0GSUtuolWXE2CiJnxu2DIiu WytSud3Esb7zgyR5HvMd+s4ZQS71j6jj7ao5G2c3/zFFnY+Irw3yB4EP0st0 VMffDFvPbJMKL6Q8/Q15d6/H05MvquPziOa7Zmb9nKEMjTVtdKPPPSW95fiX 435IU5oHFhQ9LvNA4nni++oTjrc61ChNsTtlbjugf6BSbXjH3JE56v8xf/L8 /YuepgX3zlQmO7b6pX7OHmXeGtfjVyZmKS39t56r66DGQ++8zPYVu6j1Hfm6 kt/ogWp8tPJWGfeGP6j1v3XesAmfP1TjoZTDjmtn/q7Of+VfdTepuFONfzpU D6jfbJk6vvYu23DFhi4REr8TP9t29nw70ixZ6TbAuY59+QAlOKzawhqjMxSP wKyVX72+IPsLrA9m1lizPGFWhox/NxZ6zEw5mq7cyLz3IiUkQNYPXgPuxdcf uk3694UNX3RfUHe5cEjv4oi5IU+UqcYmP0z4sz319NNHFpqHKwfL/VDlkcuf 8bb59AntCx8q5ql3Ctzfpsj6ue+j1A5pQ/x0xA8w8QNMPAmjH9TgbkLtNltE H0YfRh/ueEE3uPmbBJkvH2z76U1MjefCLnO/OeLZ+oVwZftPHWx6ZwmH78xa bnQiR7jpWvuIaL884TkLLrS9cKNA+Nrkeqs9QgqFqw9f9sQl5rXw+L7POgxI eSN8qku/n5rmFwuXNDn+tKSk5L39TuIf/IHxB8YfGH9g/IHxB8YfGH9g/IHx B8YfGH9g/KE94w+MPzD+wPgD4w+MPzD+wPgD4w+MPzD+wPij3S8m3sQ/GP9g /IPxD8Y/GP9g/IPxD8Y/GP9g/IPxD8Y/7X438TL+wvgL4y+MvzD+wvgL4y+M vzD+wvgL4y+MvzD+wvgL4y/jJ/7C+AvjL4y/MP7C+AvjL4y/MP7C+AvjL4y/ MP7C+AuzXjs7rNHjht2zxX8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y /2H8h/F/6tUDH3v+kCP+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP 4z+M/+btWjp8dC1X/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/ GP8f7Tq+dUH5fPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8 X1uhfViqTYH4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/lvP PV3T8eeX4j+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+wwm3xryy yYqX/VP8g9k/0p4Psx7k/cDsp2jPd1lv8b5l/9Kwn1Kt8rOCUdHZwjcWTP78 boNc4YWJqXOtJ+UJtxvictbnSL7wsz+y8xpnFAhr/SOexn7iN+xjPkSf+QFm vIQZP2D6E0z7Wq/btL9bgV72szh/rZq3fGPFkCxlnpf9Lv/QuPfOSzifYf3G ft7yQ00OlqmQJPUD45+524shfuapIoeRX5545p2rZYbIYeRt9/4RXuNwtshh OR/e0sgi83SuyGHkd5e5rbwdkC9yGHndmamRB4JfihxGPm3soPbLH78SOYzc b5Cv25iEInW/38DIK/b4OMYy863IYeQjLBZ1qlH0TuSw9nyZ/QjGA5jzLtbL 7Kd1jd4z1cfRW9afMPunsxrGdGrU84zw5nkrXMy779Oxf0h5mPUr+4HIYeT8 Pxx5Mud1zTKJ0t7mb7p4KLh2inCtGSvsV3RIFx51sKnRZ02zhY9sXTu8sH2u 8KtV6d6hX+YLfz3HrtzJfi+FtzudHbXO/pVw4pDaPpPGFQl36bW0fM/pb4VX dYh3rLfgnXCbljUqVvqh5L3zXeJx9nO478D7z/R+ec+3bLrsT2vX+zyv5W8O dllVkoUZn+U8dWn94oNN04QZr+FJY5KOOlplCjN+w2V+HX68UuscYcZz2G6j f5mkz/OEGd9hryXmI6/0KhBmvIczp608uXtQoTDjP2w9Otl4wajXwswH8MYB NmOGOr8RZn6AY7qd9G07u1iY+QJmPGK8ZDxlPmC+gLl/wfk74y3zAfMFzHkx 91Oob+qX8VFbf/Rf6pfxk/pDTv0ip/6QU7/IqT/k1C9y6g859Yuc+kNO/SKn /pBTv8ipP+TUL3LqDzn1i5z6Q079Imf+R07/057f09/ojzD1z34O9aOtb/YP aD/UL/uv2v3A/+j5P+1t2NWFr34q0v9t5/8pvdbmNvwL5/+h/tGNAl/76OC7 PVf+HHbzkM7tsYlH02fxsp/b5FyodXRRovBVz10v3GukCo/73mln/9YZwj+2 3LavxCtbPR//9PWrJ965wuYVvv3mvF++ep728spB9xsvhS8nNX07I+SVsEn4 2qH9Y4qER99IP9Ik5a3wkTN2Je/y3gnTXjgfOzDo6rCFH3DeXtp5eWnn4drz bt6vlWWNT/efzBZOiDsTZlYxRzh737bhH+epvN22a61VtrnCh0zrbP+pa56w 7UV/+4ItKo9euif89ZJ8YaPm1p7fhatsltrg4xlXCoTPe1wNjarzUpj4E9bO T7zf5N++cFjzf5zn0r9434x3lGd8gxnPYMYvmPEKZnyCGY9gxh+Y8QZmfIG1 5/Ha8/b1r3bNGlCknkcQb29e7toy7Gi6jAfaeJvzVTkPNMTfcl/FEH/DxN8w 8bdy0Xvs7Ddq/wu76ZpSkqm+/9LO87XnQdrzkQ89vydep36Jz2HicZj4Gybe homvYeJpmPgZJl6GiY9h4uH/8Hm4of4k3jW8/2prYr5auuac8G/DyuwIGblb 9z/9vHzzEbNzthWeSfuz+ClyQrkGav8Odvaq5m+p9u8pfaZcmjVY7d+rq9c+ W/OM2r9DjZaaZAWo/btxdtz44GC1f8+K++rCwcdq/75y/3DVFQlq/64WUHmS Y6bav8eemOnftUjt3+UP7nVuZlQibHd85bH01yqXdn78d53Xsj9Ae1rTKvds hLPK29MfWcbY5Uh59g9kvtg+L3/AMXX8sB01Yv7gbblSnv0FmT/Kvu58OVPV Nwp8cu5KVJ6UZ/9B5pOZS+e066zy+U5jCzqZF0h59ieQO8aUnPZaoPK03/Vd Djq9lPUM7eXpjrmVW9ZMkvf9/QHLbefLq+1lyXwrv9jWavxgtupdLxdztf3U cTB23tZbjSdOTgjMbGKptqeYOskVm59Q44vmDW8Nyjiktq/WlWzGlbmoxhvz TdscCDqttrfFr06ci7mhxh833m0u2h+gtr+g59Wr+IWo8UitzFy7ZcFqe6wd Mc/JM0aNT5yeDj88+rHaPicHRvm5pqjxyum7/sWfJ6jt9fy5HqY2+Wr8YnTZ fFj1TLX9lnZ+rr2/9KHn29r7V9r7Xf7hyW2Ml8YpZVuf//bRsvj3zuup//hl doVTq6jnK8THxAsw8QBMPAATD8DEAzDxAEw8ABMPwMQDMPEATDwAEy9q7Sf+ wX4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh1kfcJ+SeBVmvQFTfzD63L9EH0Yf Rh9Gn/ua6MPow+jD6HO/E30YfRh9GH3ug6IPow+jD6PP/VH0YfRh9GHmY+Jj 1osw60WY9SKMPutD9GH0YfRh9Bk/0IfRh9GH0Wf9iT6MPow+jD7rVfRh9GH0 YfSJv9GH0YfRh9EnPkcfRh9GH0af+B19GH2Y8sT3lIdZHxFvSj6a4f6z5JsZ WPLbDPcT5XzCIJf9KQPT/iT/jv0ugz7P4/4ichg59xWRw8i5n4gcRs59ROQw cu7n4q/kBxr8g/EPxj9tviDxFfE08RPxOvER9QNjn3a81L5/7fiJXPYDNeUZ /3g+jJzxDTmMnPELOYyc8Qk5jFybv8P7wn4Y+2H2w9jfh8nPg8nPg8nXIT6B 2U+FKS/3/Q3xIvujyKkP/GM+Rs55BO1By/wf51fkh9Ee2P+B5fzE0H4kP8/A yGlvyGHknI/x/5x/wez/w6wfYPYvJX/PsN5mvIB5P6y/kcPIWY8jh5GzPkcO I2e9LutjAyNn/Y4cRs56HjmMnPU9chg5633kMHLW/8hh5OwHIIeR0z7IJyTf kvZIfiVM/iRM/iTM/KFlOW80tHf2q2HyyyT/0rAelfxL7kMbyrNfDZMfiD77 lejL/WdDec5nYfJzJX/bsL6V/GRNviH74TD76+iz34K+3I82lNeef2nPI9kv RV/2Tw3lOU+GtefR1Df5stQH8zFMvizMfA7zfG1+MfEVLPk7Bib+gSVfx8DE J/hLvEF70rcvO7nHenU+085vxBvYv32P28FT93NkPNPOf8QfvI+BlSolNaqZ J/+nzZckXpDzMQPzfsn/pTzzO+VhypMfy/vFH/qTVfJ1t/kWanyF/fS/nKH9 bqbMUuMp+hP+YD/PR877Qc58yH4Y8yHMfKg9r2E/g/UgctaDMOtBmPUgzHoQ Zj0Isx6EWQ/CrAdh1oMw60GY9SB8dn3jd5579RKPJNsfDHd/rZf4Y3zJ93GX 0vQSb5hv2lCvxjy9ov1eBvur9M+mvp51ni9R4+kyOUe8d15S6zN3ytp47/hc 0S8srNDqVHaecqbxzM4phXrFy8HlsX25UOXMqIdNejWKVxwvruzzfdxyZYDb FcVj6Z/xz5eOEdP3ef3lfFXTe4s93il6xcNnZGatEL9S81cHtFnu3T9QrxQt bjEow1qV/9/ms45Zsad7xCO9ErQtya/H6bBS81vbtA4o83l9vZIy3Wp8z0Oq nHzX78L7Pzf7Il4JW1Q00sXsn5f/Sv+hvSR+0rjgXLl4iTdLy4/9q/mupeWz lpavavFJ0OTKtudkvNpXufvYT3V3ZHyqElTsW3NOpC7fof8v1zbmKWt75TS4 3F1db3g4Delcp2KszEfEs4wn2nzXoP1pI68lxMt6g/Jhnznet7Px/dvzYZsX Z67bujNe1gv8X55TydqJJ6L/0/NltfmxpeXDlpb/arzjTPvx767J/Mj8OjI6 pvumBjnK0rIPfE3nhMp8yHz6mVuWQ7MhuaXmz6Z84zGkwXU/XWT0QBef4mwl e/X804lt7+kOrQvMPtI9VzlQ46R9zp0YZemqbjZ9E8/pereMzDaqGqf8ajXn eULwHt3we/6Li9rFKhNT9wXGjjym+2XZbxa2rROkPSwpWVq32RW98OFqY6Or xMUr4fZuDwMjTr2Xj5vUeNgb60XxirmN28QeRU+VPv2dV06su1f3+VX/AP2o bMXyypSYk6du6AKXPLZc92uO0jiisX+V9FDdkOTjF8aH5irG4wovV3aKkfXV yIad1npOiZP/Z35n/vhs4r52zbtHiHz4xKShc6tGCuf3OlHSulmMsH+vadEx dtHCgxZ+tPCJY7ys//5qPm+gyeR+Sxar60Wrvf2HjjOLl/VTafm8TRfWn9vx 5Z/r5LCVr5v3OyHrx909f+nww+FTutqjPNwWfKmuL4cNu3fV8hu9xEMzwxds 2zhRr6wvnuCe//tl5bB1Yd9zG/RKX7OVU3oFXFGS43TG3z7Ry/5K9eKaxYfS 9YpV0YC4zrduKxXa69K8M/RK/UN1Mxtk3VYuDypedOqdXvZbOmZFnWz1Sq8E lzVzGvP2ofLYckxt38t62W8ZaH4zccshvdLJ7+qoMT6PlV8qLWxtvUmv/Bht Um6bR4TSraxxamxNvcRjJ/bH1x9V9c/2ZdNy1Wjj6L89/1ibr83zjw2Orlk0 Tb3/SnvS5v9/NDR7x6cXvKW9NLKLnHeo1qH3xkvy07GH563fVzmz7dRLavn9 ny6b7B8gXLS53i9eG28Jr9y8zc448abwh+YD4z//HzCw2bHZNe/L8yxtj+dW vfxA2G91/UN/FDwS/nH1kxUzG6nM+p7n3c6Mn2V095nIn7uWXdXCMlG469jJ UWV7JwvXie1zKzoiSZj9AJ733b0j9S88ey5yt0HB7WMHpQiHW7Vbc3FUmvCF y1XmemSlCrN/wPM+8p4V7PLmhcibWHjEbHVOF55T72WnWbMzhR12hzUcUEFl 9ht43tC+e770qJQt8vEfnbhx0FrlisWxMz375Kj1aXU/eZmpyuxP8DyvLkYe Lh/nitwn36zeChuVR6b3DnS1yxPub9Gpx5h6KrOfwfOym0xK6d8oX+RGiXNn Ow5X+Uj0oc9sHAuEd9bb7mnZQmX2P3iedc0g66ZtX4p88KPIW12dVH4ZbDKn 2ZRC4WSTotTqnVVmv4TnbS5rsa2k2yuR/3bNyrymq8pf+7veNpr7Wm2fRd/2 zLBWmf0VnheT8/OLJ32KRJ7u6zU3c5HKW4+GNohZ9kZ4derV7UE2KrMfw/Ms 9Hm9ztu9FbnVXuM7t91UTtxpOf/ChmLhsMhmGfuHq8z+Dc9bGjJip7vjO5Gv 3zKl0UF3lTut3XXXY0eJcNOgdV8tc1L5Q/P5W3T3L7rpr1dWXKw8Nqr7jQ/O 7y+0XdvOvkSv3Gn8y5r24feVeXXyjm79k4OOu43XV3jwwfn/p/qNG2UZpVcG B5XN7TQ57IO/B7DEpNCnnJNeaWnRKtchMfIf/30A7fc7Svsex4d+T+Cf9r2A 0vL9TX+zX1jOeaJuz4N9kZPKZyvJFWrsqeERpevTffH6Vb55SlP7ad6/OkTo ZizOHZ/xXd7/9+8BfD0izy9o9zbZ7yKe2/aNk2le82xlWmNHZ/1uH92DBtFX entnK9dMe1u0Sg3SJY6otbtieo7SbWfdCV+bh+tmVSo3a2P9PGXeFxNcOiTF K0fW2413cfVRHFa4bBhzLF75utvJMK8aT5X+Qdt8lqy8oqtdnLL0k8E5SoLp qgvZASG6atUzuk5bo+bPEf+yXoFZr8CUJ96kPEx5mHhSe3+S9R37RzD7RzD7 RzD7RzD7RzD7RzD7RzD7RzD7RzD7RzD7RzD2s/7Efhj7YeyHsR/Gfhj7YeyH sR/Gfhj7YeyHsZ/1MvbD2A9jP4z9MPbD2A9jP4z9st9msB/Gfhj7YexnfY/9 MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jP/sR2A9jP4z9MPbD2A9jP4z9MPbD 2A9jP4z9MPazX4L9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2K/9frH2/gL7Ichh 9mu5n8x+EIw+jD6MPveZ0YfRh9GH0ec+Ovow+jD6MOtN9t9Yn2r34+R7xob1 F8z6CWb9A7N+kfNsw/oDZv0AE//DxO8w8TdM/AwT/8LUr/a+h3xf2eAPjD8w /sD4I/stBn9g/IHxB8YfGH9g/IHxB8Yf7f0O9lupb5j9CvZbaR/afFvmb5j5 mPaAnPma9kF/175f7fyNnP4P0/9h+j9M/4fp/zD9H6b/w/R/mP6vtZf+jz+8 X+yHsR/Gfhj7YeyHsR/Gfhj7YeyHsV/7/W/232kPjF/UP+MV55mcJ3L+x/kh 91HYz+P8n/1C4lH0OZ/kfJXzSM5PeR7th/ak/Z6T3Oc2PB975P6O5v/5P/ov +1HUH4z9fH+Z8qxnKQ9Tnu8tU172Gw3lYeSsR5HDPI/vJ1Oe9SflYcpzHsz+ IPfRYeYP9vfoj7DkFxv23yS/2MDafGLeL/mW2vtBnGeTb4yc/EuY/GOY/EuY fGSY/EuY/GSY/EuYfGWY/EuY/GWY/EuYfGaY/EuY/GaY/EvZLzfkO8PkX8Lk P8PkX2rfJ9/3hvneNqz9fjb9g/7N+E3/kfwGQ3n6H3xIF2w85lye3N+BuR8A 83zaG8+XfAjD84zmb2y6dYTKYywG97n3Ol/0yYdAX/Ij+H59gumk8ntUNvvl 4SrFWs2PkPw6A0t+mIElP8zAkh9mYOIj+R654b4I/Y/5ifZP+0bOegg59YWc 9QZy7kchJ55HTv0iJ15GTn0zXvO+ma9h6ov3T3n8Z/xFrs3H/fd+x1+73/F3 3+coLb+4tPse2vsa2vsY2vsU2vsS2vsR/93ymf9qPrH2PkNp+cWl3Xf4u/OP 6d/M59rzw9LuV5R2n6K0+w/afOd/ej6z9r6KNv+w1PsR2nzlUu5LfGg+c2n3 J0o7//1/db+CfMx/+v0JbT5oafchtPmk/+PvP2i+V/BfLb/9vfsVH5jP/nff n/j3PsS/9yH+vQ/xX/c+hPZ+Q2n3FbT3D7T3CbT3fbX3Ff+7fU+C8VW+//iB 32co7fz+P/v7DaV9b+bf7zn8te85aO83aO/rar8PUtr9B/k+0/Ex/qsL5uj+ 6n2I/wVbXliq "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl2dwVlUQhvcQIIEEhCQSEggQkpAAoSgl9BBK6OWDCBZERQUJSkQELCgq CigqUgL8sDv23uuMbcb+U8cZe+86trG3d2efjPnxztl77p69u+/u2f2+shXN i9a2M7PyZJal9XhhvFAlHCvsF5YJK4QJQrVwsjBRGCSsEZqEHKGr0EnoLKwS VgrthY6CzJt/J5fnbOB7WZzpwLtDeHbdOqFGKBIK+Ia/Xy+cIXQTegjdhXxh uFAslPLchTOThMHoFvHO7Q0Thgo9hU3CRqEQ2wV8q0XYJxwtHIbtfkIZch/h PGGz0FcYwftyOBtEjBVtzo0RatkbiW6lMBDuE3mohiPPw25ykeCpA/HlE38H eOvE+1yem5Bb+c7m/Upk920tseZyvmsb7gr4Rmd0fO9yYTQ+d4fXQ4UFxFYB X6XkYx++O1cHhQPEcwW2xhJXFT72w0Y5NsrYq+Wb5fBdhs1R6Jdxvpq45pPj njx7LrwmlwizhMn4Phj/p5Jj/9aJwnHkxM97nRSBGs7VW9RcKTaGYCcfPdfZ aP/X7zSL+nD/Gyxy7/HsIgb3f44wnWfnY3ybmCYQx1xhBnzMJBcD2BuLzQre +7f2CnuEDBxMhIdRfKuC+OrwdTjcFMNHPTHOFqYIh8PBJGIcSWzl5NZ1+uJX A/6MgN/WPM5gfyExuP/NFrWYh4/z8NO58zvpd3MM8buNncJioZdwlNAo9Mae 2x0nbLOog56siyxqwuNeQOzLOZuBq0Zi9B7odVuCzlLs+3ok8jEWte5cncuZ EmwcgZ0W9Erg0fX7gGVwdQ46bqcb8fp924/NXthczne9x6626L3O2zrOeb2c YFEvW4XT4dNr5ySL/HtNe21Xwa/3gizWVdjM5jkHjjP4kEeOcrHdzJ73mTXI pyL72Yt4zgFN2M5FbrXXjP9+7jT2lxJvBi7WouM9ZA/cOk8+D7w2vJd4TxnA 3gb2HX4PvY62w3UxvG8mDxcLZ2K/CH2vmUvJawl7m9g/C7mQ9Wz212GrG3Fs JZbzLeaEf3MKzy57jcwmltXwlYNfrt+fdQvyLt657PV7gcWd8LtyIfm8BP8K iWk9/mzgne97re0grh3E6bLX2mXk+iq+1/pdf/aeMRauK9Hdif5m9LyPjUbH c+E1vpt4nadtcDXZog8Xk8+98NCInOH9dnQy6PVi3Y3s92kfefS4Wthbxn4J awuyn9vP2VMsar49+wfa5OgA/vwm/G5RjzM0qGam4GyW1tkpOGjU+g7nPhI+ xvcl2n/fot8MkvyoRX+tkHy1xcy4z+I3mHPzvfCwRY+6R+iXIm/ttb5q0dMy kuelqPWvhRvg+RvhS4v+MCXFGdd/VhiRoge/LLRLkcM3hIYUfX+R1sXClZLf FH4gPxO1NylFnb3ouU+R2+c9xyl6/+vCtBTzYKrWvy3m4XTJ/1jMCvd9Mv5c L9SlmAF3eE5S3JX5KeLxWO4SSlPcJ7fxIHZeI7Zx+PICteYxZRHXJ8KNFvfq U+Emi7n6uXC/xRyYIN2XLO6Oc/OMBT+VKeLxWL4TvrWYJQNS8FVH3M9ZxO4x vUJeviAHzv9XwrUWd2dwCk6dT+fmAfj5V3jIYvbeInxmcY+97g5Se3uQvTaf 9r0UvWCo1ict5vM4yR9YzNphkt+2mNlvCX9YzKp67X9oMRtrJb9nMbNHSn7X YjbfJhSl6ENeXwuoMe8rfk/8jlxjUete5z8KP1nM1L+EPy3m8M/CExZzw2vq Zou68vwsJEfdteanmEldtXZJ8T+jo9bsFPMpV2teinlWqLUgxf+PHlpvxaeB kh+x6Om9Jd9pMZf6Sr7bov/1l3yvRU8slny7xUx6Ch6dwyFaH7fo9X7/qlPc waoUefIcPWZxh/3+dtKak+I/05wU+fZc/yr8YvEb03kdnoJb53tUCs49D+NT 5MJzVZMiX57bueT3Oove4X3DczsmRX7/A0XFEsc= "]], Polygon[CompressedData[" 1:eJwtlGdszlEUh+8Ve++9WlTRahurqtqi1an0pUZEUAQxShArVhclxFfE3nvG 3pvYEkEkEtsHW+0PnpNzPjw559z3/u977jm/e4JycgOTSznnhkNpeAmPYDGk wjM4C/OhJ7yHfzAEGsNhaOWdi8OGwREIIY7HtofncAX6QpJYfsuEEPzlcAoi iHtgo+AYtCNOwEaCx0+FpfjDYDOst7PSIY7fYiEafyFchy2Q4XRtE6y13NPg CXyH/rAMfsALu+tA+3YDJNsZknt3r2fLHdK8niHfSk63YRv0kX3wBu7AIlt7 DOF8MxdbDPehGfF0bAE0xd+HnQHT4CG8hUwoggcQzJ5Z2EK4J3UnnoLNhyr4 q7GxkAN3oQFrE7F5lktd4nGWUy38NZbrGKd+gLUVtvYXSmCA9bg8v63CdoMR cBleW+07wSFoyZ5w6ZtpJYp4nmlGtNSGeI5pqj7+LuwkmADZXs+Us1ZCHeId 2PEwFvoRZ3nVSldohL8HOxVyYZ2dId8GQxD+AexsmAln4JX1PhtOmKZES9KT k/AJskwTLbz2oMjOqE5c22ut2kJF/Kpeax1qdz2HXeD0znutp9JL6XE1/LJe 39co2G85Sm7S0+Zee1xoGihHXAZaO/1Gal+JeKT1IB7/htVCNLrbaiK1EE1s hI9SN6dvrKFXzeRbzet51Uie1XirUw1L70UD56Eje3phO0AGfrrX2sodP8At iLH/2Gk9lV6K5rZbD6V3ornKXmsmtZI7JMrZXrUiM6M3fpLX2SEzIxL/tNNZ IDlEE1+SnGSv6IT4guWWKDUhvobtDClO30IN1kY7fRNf4KfTt50AYfx23Ols kZnTxOubLDBNHXUiEOeGOtWsaOMXDDKN/IanMNjWSkxjoi15MzW9aka0IjlI Lyt4fTvS01DprdfZGAF/4J3TWSpnHoSvEHA6A77BZ9sraxehi9e7S01SvM4Y mS1L4Kr0xmutpCY35Z5eaxNjd0v2ulfu+B//r6Pe "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXnc11MWx/vdr31LZOxLdqNIEUplX2aYGcZYspctSwmhJEmF5JEW2bKU 7GtDlpAtsg6DImsYjG0wxk5z3p339/X0x3nOXc4993Pucj73+3va9Oy7T5/S okWLA+JPFXqz0INCDm+0aLFH6ANCHxxybpSHhnQI+WPIgdF2SMiuUd4lpEeU z3Js25CzQwaX9Ncq5LDoPyHkkpCh+AsZHu3DQrYMuSDk/JBtQi4MGRnSOeS8 kBEhnUIuDmkK6RZyScjokO1DTgvpH7JiyDkhQ0Lahwx0zhNDTi1ZHhBypm19 Qgap+4JffVLIOSGnMC7k7JB+ISeHrBB+NjGmofb3D2kd9TNCjwg5r5Fl5hoW clrI6cbc3/pFYT8qZDvi1ha8o50b3xeKD1wjxU19sBjBNMp+2i5Sg/cC/THm 4pAh+m2yn/qjIXeG3BUyRnzgPb1kHONDJuqXcZc1Eiu+L10o1sttA+OV4gbX VWrGX2E/fRMch69b7GPc1c4D3mvUrMf1IePEM0XN/Deo8XejGow3iwm/1+qD c3eT/fTd6pxgXDXivTv0YyEPOh5ctxs/uO4VxxTX7Bp936W+LmTl8DMp9NSQ OxyH3T0hkx3/90baUB/AmQn5XchtYmG++40HvA+owXSfMdM3XYzE8ZAaHw+r wT5NvIyZISawP2I/9ccbGTuYB3tvuA8/h3wa8lnIk+ImjudcI+afaRtr85Sa OWeJlTieURPH0/bfp9+5IW+GPK8/4njRGMD4DzXYX7CfvtVK7tXLIf9034jj FfUTIc86J1hfMwbwvmo/9dm2gX2OGoyvq4njLWN+XrzP6PtNNX1v2w/G98T9 UsjqJTHOC3nX2Oh7R9sXtSM+7uL7C8XE2r/hnP8SN3F8aJyv2j9LTB/ZT0wf q4npA/0x5t/GxrhP7Kf+ufEQ6xdqYvpSDd7/qInjOzEx5xol4/s65BtjJY7/ qpn/K8exNv8zBsZ/az/1NUv6aIQupdnfj2IF+09q1uYH46Tvl0aeJ+L4VU0c v6mJ43vxMqZFyXjANd9+6txh8gS5sCo5P3HAgweF3j9k0ZK4iWOZkveE+Rcv uS7Ms0RJDcYlS2riWKzkOOyWLhkP45cq2U+ds8ld5L4tUnJ+5mtZMh7wLl9S E8dyJWOmD16Gq+FsOBl+hqdXkK+Oj/KyJfEyZpD8DBe2lR/h6XWjvLE5cceS uZd8BWfAgfAitvALvHW+XE37CDkcu5HyGxzZVHN1I7n6VPlylHwOL3K3uRMv 1H4byRM1T8NlNU8PEsc54mKOodbxda515htm/Qz9wVvw52B9rVSSv4cb0wXO XfPQ1bbBG5c5Nzw2Ur9jPDc1B8N5cGyT9SH6anK+UY4f6ria80dr18/xg415 pPODHY67VHyXWR9h23htrxArc1xpveZj6nDO6e5rk/HVPD9Ru4fch+fd8yFi OlFMA/ULB93caOZmOA6+IcdPazTz9BQxYQuf7VTybE0yDtrgtXH6mCzWW52j 5vgbxAt33a4dHMR9WaUkB9+tj3vtm2T/VHFMs2+iPmruvc356Cf/P+Wc9xtP zXMzjQNueUB8063XHMz6wbXk9RnO84h9NWdPd//JO9ca0wztRtvG+SMeeO0x 44C7njC2mdbrt0KNdZYx1Bw8y/5nrU/Vx+Pifs6+6e459Q1Kcti8RjMfcz/J H+QR8h9+4ZPX9QcvvSJWeOdl8b1mX821sxvNXDvHOGZrV3N5zYPkyJ/EPdf5 ag6eKyb45R0xvmedueGgefr6wDo44J8PjfMtfb1i2wfi+Ei7mlM/sp8c/q3Y 4aNPxPSpdXzBQZ81mrnzy0Yzv34u7s8cM8zvG+59zbtfuA9vO454vtJXza/f iPVb63PE8rG4vxMruL+3Tt8P1ufp4+tGM7/WfPujdi8YAzg4my+5xjXX/iKm FnJSzX+Ly5+VfA4++KySP+HRReR5+hvyJ+NqnkRjt47fdmc0mnn9V/HCo0vJ w5zHpeVS2paUG+HIZeXPlnJmzaMtSzNPg3ucXAm/8Z23tnW+Kfn2hX9+LyY4 g7foer5HNw3dZqEchOae0b+qNmuVfOsQ7/qO55zCt6s4jv2fb5wblnxjsU6X Oif5vpXYDnOeNuZS5llXP2NDjwnp4T1e37nwt4H3Giwb6r+1cbHOfOvzXQ5P Ms9GzkU+Iq/d4fll/1n736L/ct8f7Uq+J7D/c+jNS/6ewPd795DejVzftr49 +N2gnTab+yah/Cfb8XO2fo5o5HugvXuxlTh7NfLbf4uQnlH+i2Xs0e0td3Qf sWF8B2MEB/Pim986Oupzb8vY71DyDQN+xmzpneV3DHAc2cjfK7YOOaqRfdxr +LNLyTfS0VH+qzbY87vHtrZjx9uJdw1t2+iHOmN54/ytpC/seefwduKN07Xk W+uYRv5+0sUy83RyLsZjw7j9So7BZh/xEy/7g89jG/kbRVfLzEHs/I7Bb0U7 uA4nl6xTvsT246K8V8k36KFRHugZrPkePdl23gFjG3l+d7Z/Z9spH17yDHEe 8LerPtG7W+a9yxud9/lu2vSw7Q8l3+68g3kfY7tnyTLv4x76PVC9l+307+l5 PrTkWeQc9ix5tjhLvVhXz8axJfeVdT665Jr28swc6JocF3pf9/SEknvJPuJj b/2cRByuOT/M7ece7es5YexBrifrdkRJTOBhPQ5xTVi/g7XZUXveVtzjQ41l wd1ybckV+OW3iAX3TJ8L+rVhLfdwTbhTvcTM/TjKeI8puRZHejePsczcvDnH exdONC7u0FDH9i65Rkd5bntbxraP9n1LrhHrw3cEv/3xXUNOPqVk/upX8lz2 9l701X58yfxef3ugB3jXjncvsOmvzxUt1/nwXHFie4L23Z2PuVjjga75hJLv 7OHmNPJX/dvqWa5nW+vkHmwHaL+TfnZ0DL/L9HHNyXHksiGWe5rDwLfgm8a5 jjBHDrbcznnbLjS+rzjhFfZmjJjH6XOI/skHfL+d5n7xXunnORzr2aJtuHvd yfqR5owm14d8xrfiKdrwrVjnvBHu9Vb6YZ7O2h/tHpErseWb8SL3lHw20rPR 2TJ57nztGUvbhdp0sdzZOc9z3m76rX1S7u85xAa8XZ13O2O62Lj4HZrcd5zx UidPtvK8HW8ewGZ715i15q51108328ba3sM6e7G/dsd6ZvEJf94Q+vuS976j 57ODe8me8k5obZlzxbjx4qFtgu39bcc395j81cszOUF/fCNzx/BX/+7JO+C7 qE8pmXcnhkzS/wZVvBlLvjOuDbm+5L1YI9rfKPlGWTvKb5Z8H10TMlk8e0T7 XG3WjfJbJd8uG0f5nZLvlftDZrtWH4ZcWTLv8YbiHbaycz7gvPeE3qHK30K6 h96+ynwBFuZjrvtCdqoy1t1C3xj6zJBdq6xTnh6yS5Xz/BLyQ8m8uEW0dahy /TYP3b7K/Ngl9HZV5qBG6F9L8sqKUW5dJTfMK4kPbF2jrVuVOWXx0FWVnPRg yGpV5nQwXu2e7B7l10vyJ2u5ZpXrSaxX6fN9Y8P+3ZD3SvJAu7DZrMpc3zH0 llXm65VC31sy/7Gui1W5tluF7lRlXt40dNsq+WHb0J2rzNNbh96myhzJvq1T 5d7NESs4F+xhlfv4Y0ipkqPXCv1IyTdxmyg/WvLdyhr/5Do/wVmo8g37mHar 2/Z4yXbWbFHXrVXou0veIc7jelWeSd6qP5fksuWj7a6SXNsyyneW5ObVo/xQ yTc1+zbfvWP/ryt5BmaUxA3mp7kjVXLwCqGnlnwbLRflO0py+MP6xeeyoW8v +W5YmbYqc+o094D1XzL0zSXfQBtF+cmSb/YrQviHHW+Vp6K8SZXfFjO1w2aJ 0DeVfLssE+XbSr5LVqny/nB3lo7yrSXfH0tF+ZaS75tFqpwD/5yF1zwP/wcV P6+x "]], Polygon[CompressedData[" 1:eJwtlFdPlkEQRr9vF3vvgA1sKIiIiIioWAgaY8UuYsEKqFgSEuO1v8AbL+zG 3jUxsffYe4039t57LFHPk9mLk9nZfd/d2ZlnJ7G4vGCei0QihRADz3DOQ0vo AJvgQvCXQHMfiRzBxkFrOAdVmRuKnQRXoCZ+AXYmXIPa+KOwpXAZauCPwE6H S1Adfzi2GG5AXfwxWAV2FWrhj8TOhq/wBfpDHrRj7RS2mcawA95BlrN/1sNj aARLo3aXB5AU7nQv7Km9EuE61GHP0dg5sBy+wwCYwP83sfVYH4udD/fhCbSH VrDCWQ6Vu/qwCp5DcoghgX+PYeOhjXKIfwLbFNrCAWjCXCF2WdT2PgSx4YwX cDfEmqJz+PaM6gItYB08CmeX8f8tjflmHHYhbIe3kOmsRnGsxUJjZ2fuhPeQ 7axmij2X9UXhDqcVh7dc68zKjKvAENWf83p7O1NnLYA+2hsSnO3xCXp5W8uF foxXhlgrsN9gIwyEfPgFPxUb64Owm+ElpDrTXB7/rw61XexMu/netKr69vRW M9WqHCrhx0BR1GL+B39hIv5g7GdowPp4bF/YAq8gDYbBNngDGc403JBv92FL o/aPtHlQ+znTaDzra0ItNXdSdfZWa2k2wjjq7WzF9Bv7x9ldFdNhfedNW3pz x6Uzb9qRZo7qnt7eojSlXO/XHZzlvIe3N6W3NDfcJZW5qeFOW+E1pDt7g129 vTm9tVlBKxnextLM2qDBlKDJDaFmqpXeyJ1QE9VCmrodalwRYtoFHyDH2RtT LtNZnxFyuhs+SiPOesDeUBPVQhreEzQk7egNdvLWQ9Q7dCe9/UzmSpz1AGk5 C7/MmaYfOutZ6lVJQUsprE8OmurI+CJ2irM55SaNuWkhRz/grGrlTKPJrD11 pv2iEHuON63pDt299RT1EsXQzVtPVC8sCbnI9lYb5aSztx6p3qgzu3jrqeql ypFiq+ZNi4rxPyXSo6Q= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWH28z+UZ/uV7PyqKlCQvRYgQ1bbPWltb7y0vKVFReTt0HHHoHC8dC53E dqazIjRlXqIlDVsvRrGiWinUrA5qpcJaJJSaKHZdu67fhz+uz31/n+/zPN/n ue/rfvn9mvYb2rW4Wi6XW39MLpdBnhW5XDvgUTx8ClwH3ApsB7oAtwBt8f5c YAb0mUBH4CZgC9AJuBn4DLgeuA34GOgM9AB2Al2BXsB7wFLgD8BeoDvQF9gF 3AD0BnYD3YA+wFfAjUA/YCFQCowC/gUsA2YBW4FrgZ7Ah8ByYA7wJvAYMBco BoqAQZb9gQFAS9zpbOB26POBQuAOYLD1gUaB1/zR74cCd3reEGCkn0uA2Z7P 9cOO2u8un3+45w3xuYZ7P84dYcm9Fni81HMH+uxlXjPCfjkTmAb9B5AXAFXQ Xwb+ZFu9Aizy918FFnuPPwNLgNFAC6w7CLkJOB/6ecA70O8DxgH3AJXAb4AK 4DBwCLjXY+M9N8O6asBE6A8Ck4D7jV977gTvVw4ci7nVgd9Cn+x5lebHUtuR 3CRHfw99KvCA955myXW18b4WMCXTvIc8l/wkT8lXcpI87WTOkJvkKHlIrpFz 5DC5zxgg/8kpcqs19j4n5GfGCGOCsVETYzWA32XiMDlOrpPzjAPGAzlMjpPr 5Owcc4k8JTcH2LdDzJMCPxd6XpGfydOi7Ahv52VH+Fzs9YXeg5x73OODzKeR 5sxgPw/zmhI/k2vkVan9MNn2zfNyuPcd5rlPes8SryG/RnlemZ/bhGz3VCY+ kUu/ysSvKvOAnN1kPowzj8b73QQ/0/ZlPschj5f7HfmY5yAleUYOVnjeEz5j sd/xbuQleVfp9ZN81we8R6XnrQVey5RH6OfJfpfnHznW3vnz6UwcnGbbkYPk 4sOZYjTPX+ZRxu1foL8NvJUppz5nSb7+NVMMkAsbgDU+Q3/zZ4DfzfIY4+MR f+v5TDmo0PeZ6rPM9R63e/1c6xW2I221IlMepJ//linf0df/BF60LV/KlJtK Pfak7bs6U44mB1Zl8vlI82CRx1d6j2JzZLHfv54pH402lvh9Y9uJNn0hE6fJ 5ya2N236DPBspvuvB/5uWzYLveM492hr38y2fQtsy+W2x3zbjnab5+/xW/Ww bj/kGNtjRXYkvlb6Lgtsr6He7w3b9wnbqMR2WmWb0B4v2ya866u+L/281n56 zneZ6efX7K+F9gHtfwBYB4zNlC/fNyc2Z4qpMV5PjnW0JOc6WP7DOmvlBn/n 3UyxyjgdZ52x+I3fcZw1gvrdwMZMsXy351FnbP7X7zjOWrTa9y332Vg79vus PCdr0GbfZY19SRucHDor70G+sJ6RM6x3G72WeZz5nbn9E+s9LPnMvL8jU37P 52XqzPOsER9lirt87uZ75v2t3ptym/f8yGu4538y1YN8zaDexZLv8nViu/fb 5r16+vs7vJY9DusEa8SXmWpSX5/lc5+Z/dEun/EL67195y327y6/6+V1O62z tu32Hnus97Hc4332+tsc3+fzsO9izfogU6zUDfmVPiX3v87E8e5e383r9vn8 rMt1gOn287f2bxP3LewnmXeY0yeaFwfNje+sc/5poeexHvvec7jusNfmn8mv XGicY6dDD/ckHDvGOsE6McEycx/CmCPnyLfwOOfWD+3LPTmWPJ+o7npTaZ39 wHGh/obvG4SeqXPseM8hargOTbY+xbKm9ereh3NP8Dh1yhM9p2HoHcf5XMu1 qsJ343cbu0eiL04K+YZzG4We8+tqew7j+5SQrynrxpF4PzUUd5T1rK+zn8ba P/VtK9r7dNuQNmvg89AGDX1m3qPRUWdo7Fx9hvXpPv8ZR9UD8oe1jTWA9S9f Z5u41ja1PsN8a+qa0cz9JH/vMGcyXxZ4j2auo6xdrd3vcay5awm518J33Gyd nGVeZn/GOlJkfZBlS+utrHMuZSv3cPwG+xv2NmXWR1u2ts64OWD+c6yNx3l2 xmd/372t79vcd+EdGeOMb8Y+89C/M+Wfr/D+Z6Ec1SphD9e5ltALHOc96Luk uncF9PpJdfEm6C+EauAPMTbEsdEGekWott0IeWpSXf0x5FDH4UXQ73Q8tIc+ KZTT34Qss53PwXjrpHuvwVhRKPffQg4k1dtzIQudF86Dfn+ojt4BeUFSP3Ex ZKlj43zob4Tq7VOQC0N171bIl0L1+WrIFkl1mlxpZy7Ng+xg2/I7HZO+NRd6 31D/8hjkNeYqayZ7XNbDqZDz7QvKjtanhPblnp2S1nPtpdA7J+XNXuRqUs2/ ihxO6id608Yhnp6NsX6h+nwJ9BGO52bQx4d6hTOh3xvqUeZA3heqx6tDd+Z9 OyTZerE5Qq6QG3UxflJSTh8ZOl8d8+LmEDfIhRXmA33ePeT3yyFPSaojw6H/ PCnW6cOeIT8ug1zuWCiB/GlSbugCzA71Pcw5rPdVzkvsP96xf9rbngvow1Dv RX+usk+5hr8xyi25D/PVJj9TL4b8UVKuot+4P3Pd64zXUL9GP9wW8kUVZNdQ L3mQsRKq5TnM+S5UexP3S6rHz9KuoRw5DrKb7/sN5JehXqEG5lZPqse1IWsm 1eNZPEuoF/oE8sNQD/Ip5NZQf0MuvGI+DIO8MCnXXgF5ZVL+vgry6qScPRBo l5SnGRODHBfrIK8L/fb4nOcK9Sx7IXeFePHLJLvQJg2gl4d64jGQb4d662oY /0Wo96ANMtthKd+H+s7vyYdQbzOKcRbK7dsgfxLqr47FuktC+Yu2Oc724b23 ++6DQzHPeK+H9/eE+vhHIWeG6vkivrf9l0D2CfWk3DuS9r8MslPot8SLkJ1D v3u43ybv2QhzGif1PfThMvtxNOTlSbmLdzrge52AsUtDPRXtt9s2/II8D+Vh cudb84f3/th3v5B+CPWlF0N+HeoVL+IeoV6U3Nln/jCX7wnF7GWQtZJ6MPpw h/1ITp1oXm0M+Yz+oq8O21/k7yFzuE7SXtxnf+gcPAPPvtPn/yx0Jp6Hdz0+ 6b7k40Rzssr5kDH1LmM39B/e9SHOkW83hOKKMcUa8nCojjwfqj2sO+9Bvh/q R1k3rkmqHRvoq9Dvn5WQV4b600cgHw/9xmEOO9l5jFx7yHwj39f6DNMhnzE3 mCObJ+VJ5tEmSbl0BvRpofpwV+iZ+ge8U+g/SHKB9Yx8YHyclhQj/4/dUPwy HzdMyslvQV8f+n90S8j39PvTkNeGfg/9D2BB3LA= "]], Polygon[CompressedData[" 1:eJwtlWuwjlUYhr+sZ01UlEPtzS61J5WSdNKBqGkiKcpGkkMoOkyho9iNfkXT DJ01HaSmQs6JlEQqOu0KMSFKTScyUiEhXHf3++P+1vV8613rXe961rqfykHD qobWKpVKY1Co5acql0otaKenUulm2tOJ98L70JPE3Ylb0r5BPJH2RTQf7oVm wFejj+EaNBruxvPNaYcQN4P7w9PgD1AXuCNaAn+NTqC/D/FU+H20AT4PvQN/ hwbAL4XHzkCPwe0YcwRtBZoUfqfepTU8ArfMXnsZ/DTqQdyKdi7/3Ul7IfGh tLXRML2PONEGGo/Oz+bG6ArUlbgp7QTG30t7MfGRtEfpWTQZfUrfKjQOPjd7 c8s1Hu6EZtL3EbqS/64hbkb7vGK4M5oFL0MP8f/L6BN4FDqbvrPQbHgOupG+ 5egb+B/0MNyc/t3wMfBYdEp2XyPlTO/RGOIv0SB4GVoD79J/Wi96C16PHocv yf62Y1Fn5Ze4kvZZ+h+lbZO9d03QHegc4gPJ33yTzgJal7ymu+GL6D88nLPr 0fHEi5NzXgZfy3+vwovQtxqrnMMbk/dW36C1a4/nwLPDZ+EL1DV8BmuK/geU 5yIfOqOb4O/DZ3UTWgA/p++CV6I34XnhuTTnD/CP4WevQ63h9eG1vK0zC6/U HdBak/fyMr6hYbGnHbJzoL3Xf5dn50i5OVr3RnsdfveK5Fx2zO5TThvCjdAO 5Sr5LkxFnyXfCeVqVfjdylmVxqEF8CS0VHcFLYVf1xh4IXoXfgVNK86szurn 6A94m/IC/yLBv2oP4N5oC7w5zD+h3+GtYdaY7fCf4bF90B54L9oC90P/wrtR 3+T/dsB/h5/9De2Ed4VZz8wK3+GyIif7af8Lz7UV1dXdRwPgv1CCa8lj4G3o Z60tnDt9wyL4PQl+DdXh2cPQ9uQ5DtBXyp5bc9SWN6Abkp8JOGfPrf/q6e5n v3sgagDXz2blbCTzXUo8T2cLvUBcjRoUd7CnzgL9C5PPfHVxJnQW9Ew5fb3C a1XOKon7hnMpzzxJawt79f85hqfIM5LPyK1wq2yvkafcRnxmtrfIQ4YQtyD+ MNmT5PW3aI+TPf804sHEe5S7ZJ5Z5EL/PQNPKO6f5lgBd0MTk8/gWrh7+Czq G2vgr8LeomcGwreHvUwep7u0Bm1IvlP6lunhs6lvkhdsDNcCeUIn+ORs76pG i4mXhGvJFFRBX2/iyckeI28aSnxI2KPk9cPhHPZ8edv94dogj5PXjwjXOnn+ GdmeXl7sUevsGtG4mFO15amwl6vGqPY9GL5rqoGqnU+EvVM1VLVWHi9vV81V LRgVPiuqCapNd9HWCdeoC7I9t0mx5vbZHi1vrouOy94DfftOeZaezfZS7YG8 +NTsXMqT22bX0IriHR00V/ZY3ZF+xCdm12LVbHn3PcW75OFdiK/KroX1w7Xw vjCrJq4Oe6a8Ujk9CMtPIKM= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHn8j1Ua/aL3uRMhlaZl2vemUJY0LTNTWX6FpNBUfvalLFlDkiU/yZKl kCVKKYpKg5kxSFOIlJiR7JKdTDGlidI5nePj98f5PPd773vvfd7nuec89/te 1OzReh2K5nK5nUVyuWKwjVMu1zpyuc+yXK40bAPYvwCvot0CY9+g/VegPnA/ UAb9DWEfAM5Aex3sXOAJ4FGgI/Bb9K+H/RtwLtobYf8BXIH2Ntj3gIvQ3gI7 HzgP7U2w84D/AZ8Ds4EL0L8Z9p/A2WhvgP07cBnaX8IuBC5BeyvsAqAE2sWB F9D+DlgLzAGOAY2Ah4HOQEugFdAJaOHf7YDGQBOgvW1ToINtM6CL57UGiobW 6wb08nN8/8c9n78f8b75QA+grfe5CnPfh10EPGa/+GxPj7f3s/n2qbvH2dfb Mabvffw+9GsC8CwwHHjK63JeFvKxH9Df/nJsgMfp19P2m+/xpNfmuoPcx9wO 9t4cH+n5Bd7z+NpDPN7HYz38Tin0zDDgGa/HtUbY1wH2u79/D/Q8+jTKa7Hv OVv6+6Ln05eJns/fk9zHeWO8H33nueD+44Dx9oW+j/X4EOePeW4OTPYa3HM7 8K9M5+p578/YTAFGe58dwAde/yXP47OveHysnx1kn172+Gjnk3vyLO4EPrSP u4DFzu0RYCXwKvAp8InX3gt85PfeByyz7/uB5fZlFTAVmA6URxzKAa+hfSNs VeAttGcBM4CZjgFjwTNcGeOVgDfQ/hr42L7XQV9toCTwDn6/6fnUB+oHdaRW aE+ueQBY4ZhRZ6gl1BTynFpCTaEeLHAsyPv59oX8Xuj4UG+oK+QV9YC6Qo5Q Y6gf5C21hzqR77U6+n2oGdSelp5DrpFTx3ne3uuSaw9nJ7SAz1G3yNdWXret n6PGUP8eAnIhrWmT6XyN93mg353sB/nBs8YztwdYmuksFwtpSlf719lzuF8X /6ZP5G43+0V+9PS7kVO9PE4OHec6Lbm3G1iSiStcq499aec1eti/3l4rQtrR 17Hp5f06eV5vv39379nWa3Q3BtgPgrw8zm/aZz0+0mP93DfMe5Mfg7zHYP/u 5T5y7zchTRnqcXJrjP3j+ED7UuB9erqvwGvx2dF+lhw8riu0o7zPaI8VuI++ skaxFjW1vxOc4zz4UtM+jXA+J3rOJP/m2uTiZO9P7k7xHi97bJTHJ3n+Eu9x LdY9mkkDyplT5DO5R969nomL5NsM+z7F63Kc/Hw709gs/ybv2SY3V2fSiGmZ uM4+7vGfTLWfXP0xE1cf9PszDuTmbaHz38ggN/MNcrCxQZ428RzyurlBvrcw yPGWfufFji05x1rZ2mPkLzmxxv409O9FfuaLTDX/Ic+nlo4zqM/UcGrnAceI uVnqeDP2yxx/5mO5+xjHj933iudz7qFM9ybm4nCmu9JKj63wPK71kff5AfjW sa4Yivs0x/jfmfTw/5nuQGu8Ltd7ze+01u9VNvSebDP26xz7u0NrT3ce1hfK w4ZCedjoXLCmfeWYMJ+bnR/Gabv7mastzhXz82WhPGxz7JnDrc4h16UON3Xs dzj2jN9+x5Dx2OOY8IzvKpTznc4bc7LbeeF6m7wmc7KvUK72OsaM99eO+UHg v5lq5R9Cde4tx/6Q47rKv6c6bwf9/BrHf7Zze9g5uB5rlApxbbVzucpjR5yj IqEaQP2/BfZnr/mzn2H7p0x30znuO+q53I8cYy28w3WEen97iGPH/E7fe53b vRfPQLXQHNaPk0P6SG2805pEXc1zf18/X8x+1rTOU4NrhHS/q9vVPbbSMeK+ d4XWLe54lHRMqnv/bn6mhH2g/pS0LvE8cd44n7tTfFc/yf50dV8J9w93/nk2 6ng/8uVW2Aq+w5wWunMwbrxXnOq7BXWhjP/P0J7mewm5cmaIHw08h7wjV84K cYX8+F3o3PGMXxnSF/Lg4tB553k8P8Qb8vJ06yA5dGGIN+TcOSHOkTeXh3hD rlwa4hNzWNZ5ZAyudl6Yq987X3zvin533t+u832MqOR6wFiwNky1Le9nKrjN 8ekeYz/jVNoxmel1yBGiqmsA83CN8/hH2CqeO8vPvOt5lT2X9ga3eeZZt3jG q/iZNzzvRs/9zPyhz38KcZVzn4a9Jek9h/D8J607DKiG9k2wG4DHQ1qyHrZn SDM2wvYKacPnPI8hPVsL+1hIk9bB9ghpz9uwI0K1bg/sDp+hA8Ben5v3mOcQ PzPzopvPfA2f22PmbRvnlPxk3xew3UPaVtRzu7rN58nxNewL6XFH2MuTzgHP Q7U48Ww1r3+b1+eZaY5nx4T4tAX2yZAW3oH+oY7phWhfkPT/+2LYS5LO9KfA lcmc53lL8uEK2Ob284GkdX+tZ7APJtXOkcxh6L/6Zei7NOl/7a2wg0J6eTPa A83VP6M92GeoJdrTQvq7GbZ3qD4MgH0/pIn89jA1pDubYJ8Iaf9W2D6hGpyP Z/pxbaBq0hj7+/KMJf1Poq7SR95b+qN/bkhDpzB+6YSmUq+pb0etL+RLFYy/ FKorldGeHKphldCeFKpDNyTFhTHpDHt1EmfKwb4Qqn/Xoj02VFPvhd1t3nH/ ViEfyqM9LlT/KqA9PlQXr0N7QqgWXo/2xFDt/Ar2ntC9oQn624TqUlO0h/s8 r3SOmd9m6H8udG9YHMof48Kcd/HZq4j2i6Gaeh/fO6Sr9cjLkK5ug20burOQ hzeHuNwC9pGQXnWCvSpJv1gjeS+hdvGOWsftUm6zNrBGsQ71M79qep0wvzJz ieee9xxqAfWCWjHX/eQC77/cizrHNfK8DvvqFvKBbT7LOsZaNdRaxzbrE3WH eke9Ku7nWEOvwTuNNteS+zm3rvet5bVre6+SbrP2zbB/M63teX7vRknnmGf4 dXODvOA+5Db3egftpaF7CfVpV0ijmOftzvXOUJ6Yow9hnwppMHM+x3n/AHZU 6A4yizkP8YJ6fJPzuCR0Png22oXyzVyvZi5D9wuewXuS73Bo35t0ZuokaSt1 tW6SLlOT6yXpNbX6XLTPSfqGVx9YaB+Wwy4L3aE+AVaE7gUdgEWh+xL1eH9I k+n7PM+d57XY/g72+1CNPwn7ZEm1/EzYsknfCw8BB0PfL38ADoe+WRbFeJGk b5bHgFxS/f4JOBr6BvkjcCR0VzgL42cn1fL7kmoP606ipiZ91ywDe2rS907W kAWhOjI/xDHyi+/X3u94Hp49P+musC+kF9SKb2C/Dd0zTsZ48aT7xymwJZK+ lZaCLZ10/zgd9oyk+wq1qn6SXs1mPkN3UGpM7SSdobY1TNK3O5PqJWvlMyF9 obY0SNLiX78r0a8kbaRu3ZWkXbWSah7rHfUvL0kDWWOpTTyr1MIaSXpYPan+ UX/uT6oHrAUFoW/TvCNQ/+5O0sDnQ1rG81wzqcazvv8Cg6MY7A== "]], Polygon[CompressedData[" 1:eJwtlffbj2UYxh/juS56kWRU5ouEKPW2VCpN7VIhbxpaWrS099BSP3R09Ado 0k5EQ4ls7aO9iSTKDIU+53E+P3yO67yf6/k+33tc53XXjhwzeHTDoijGQWPY GEWxHt4si6ItcShsCOtveNYgi2I4+nt0e+I8GANtoIAgX0/8gXxH4hD4G3aG r3hWQ/4c9I/ozsSjGD9KPAT6wypYDa1gOO+sIf4FU0t/YwDvTyIeDvvAxfAZ NIXxvFOSbwRvoTuE59o4rTXn1uhW8C66K8/+g7PhO8a7EkdoruncTzx7ljgb tqEHEM+DjuR7EH/h2T/EYfAtuh1xbbVn2qvWxMnVHmjtG0rPfSC/P6BaQ+/0 GjT3Ptp3eFp7pm/DNPRzsAa9CWaiJ8Jhmjvjf4mbYRp6F2LL9Bo091r9B+OH tEeM64hzYQ58yXg9PIw+gnf2D8/pMn2b8b76X/LjqzPS2RysvUIPg4XkVsFQ 9BBYgP6z9F5sCc9FezJOZ0t+b2I/eAnuh0/IrYN61RMsQq+GF8lN0Jmj10J/ cgfBYvRHcDe5p6r8QOKR5F7QGuDAsD46PVc9OwM9GObx/h+wiGcLoZHqAr6A z6EGmsHJvHsSfMi7y+F49CCYhf4NpoZrQrWwkfGJ5E6A2ehlcCr6FJiD/h1O R58Gc9Er4Dj0sfABeil8qr2AJlUNdyd3AXEmuV7yFONtxOmMd6vO/tD0XqoG 5lcelPcawOvwGtSXPuOzePdMmI9eWbrWt4e/pZrvRe4i9F3oPYnn6ux41p34 szyBbgczSj+TtzLtbXlMc2uY7gWaYy169/Tc32d8BXGJ9hg9WZ4k1wX24Nl7 pWt3a9h7qmH1nk1hL6kH3au64/2+lQdVq49UZ62aVW9YF/aaesTjxDfCXtuq M0CvkC9Uu6pR4spKq8dobe015/Aam6N3SnvnHcZN0M3Svert0r2jLXQL95Db NY907csTd8hHaW+oph9Un4AWYU8dQ+4xnWG45z1feUJekMdvQ++XPit5agrj 0TAF/TW8jH5FdSuvwa3ounRt64yfrGpatbyE8Z3aq7S35KFbNI90LcoTPXUW cD06yF0OH4e1aqJT+sx0Vup5F8Liyjv6zXLisvBcWlZrVc+pq9a8Q3oPtXed GO+Y3mPtbZfwXdE0ndOdMZbYN+0Nee4SxiPSXpfndXe0SP9Wd8h1xD7ptcpT uoueCO+V7qSRsKDyxih5KN3D1bt15m3SNa9a15l2Znw+8dfSNarecG24N9dU Xr0m7BV5dobqGLaU9ly3tAdU+z3D3+qa1vrmUuKVYS/oDEeFe7x6u3q0ets9 4d6i9V4avhN0F6hnqpc+EL771FNvgn7pXqWec7Ny6d6jnvNMuKeql+pOuQG9 V7qXqWfJW/eF7xJ5rEd6z7RXvVXj8kH4LtYar0LPCntLNaleenX4XfXUGzWv dC9UD53O+NXwXbMZ/gc7Bxbv "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0Ms2QlEAx+HTIMql5J5yKRQDT+HyAJk1ZM7zkKkoFOExKMoraNrS2OU7 axl86/dfe5/J2bmj09JJJAiCMtuEO0qcSVLMscMFGz5o6Te79h49e1Mf9Yd9 +4APu6BP+kvR3uLZHjDkiwf6dFl3f685bWpe33VNG7qid7qqb7qst5rRG81q R5e0rota07S2dUGvw3/SK53XV/2kyguXHDovUbFndJYppklxHr6PJhhjgnHO nMc0TpRRRkhy/P/Gf1FVJRk= "]], Line[CompressedData[" 1:eJwt0UVOQ2EUgNFXYCMMKe6uE6R4gAWwALoinDVgxUpxGOMuCU5IcBhwSBic fPfel7zJn9ob7ewLBUEQ5Z1ndkh3nNCwTmqGHmi2xjRLZzRHj7RAFzRf41qo x1qsi1qkCS3RUy3TFS3VVS3XM63VDa3RTU3ROrbMDzwyzB2t7m200EE7ySSx 7nu1DukYa1TYq6hk2X5Cj3lQR7liiW63Ab0lYm4mj3l7rs7pIV3mfh3hklle +eaHG+655ot9PvngiWle2KPJvxoJMWXP1F1t0Pq/B2Jc0nRbLzjn7f/dfgHA bEI7 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{344, 343, 347, 770, 761, 762, 760, 764, 763, 665, 766, 767, 765, 769, 768, 666, 772, 773, 771, 775, 774, 667, 740, 810, 711, 759, 678, 757, 677, 758, 664, 346, 345, 344}], Line[CompressedData[" 1:eJwl0llXjVEAx+H3NEmGFJVMTcYlMmfWRNz2EVx2waUv4ANYrk1H1koDHUQJ ybjMjqkokizzlOEDePbq4lm//34vzsXZu2T33oY9sSiKOjmQEkWNDud0RmoU TeePfZZc+7lu1S38ts+QYz/TzbqJMTvBNPupbtQN/LI7yLaf6Hqt5Kd9mql2 UtfpWn7Yp5hiP9Y1uprvdjuT7Ue6SlfyzW5jkv1QV2gFX+1WsuwHulyX8cVu YaJ9X8t1KZ/tk2Tad3SEt9yjmXrfd3DX/sAhqp079R3HOUyNby/0PHn2Bc3X Krbx0fkItXaXjtLEUep869duZtqFFHDR+QTHmOXco3/5x0t2+jagn4iz3fmS vmeQXc6vdI5e1tl6RefqkBZpr87Tq1qsr7VU+7REr2mZvtEFel3n6w1dqMO6 WG/qIr2lS/R2+F1ipJBKGulkMCH85+E+wl2Fewx3HO4/vI3wbsKbImLMGx0h SR8J4hxkP/ti42/5P9WvWU4= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hecz3UcwPEvh1JGsjKys0cDiex954yzR8apzCirbGXvcsqo7N2g7JEU oimyiqzKSlH29vw8/PG81/v7+d798ft8Pr/Lm9gzoUeyKIoq+LErJopiWZgi imayljWsZiAf8D6fsYhnWcZHLGYpSyjLYX7nVw7xG2XYyz528wt7KM1P7OIH GvIjjfiZwRwggf005iDDyJIyippqZm2mWfVNza4tNJu21Bz6lubWVppLW2se Ha759QXNp221gI7QObRnOSv4hJco6n0RdphfpLB5jNbWWnxj7kgh82itqTXY bk6koLlO2Ff7PZThjGY8k0liGjNZRT2/W83f9NfvqW4eEPZK43QBU2ni+V2d wRs08Byr85kS9s5zkk7ndep7rqvzqGeOpyr9PFfWvlpF39FK2kef195aUd/W CtpLn9PXtLxO1nL6argP2jPcF50U7oH20Gf0lXD+OlFLamctrp20hI7TT1nF St5jGmMp5v3LupM64XMw3lxKu+i3xIb9YYL5Se2q3/GU+Wm6mbvTgbmMDPfM +ijdxlba8YS12vo1X7GFNuQN563xfMlmHreWk5rmL9jERprzWLgHuoH1rAtn xtBw370borPDufFxOB8+ZxCz+DDsK0c5xhFOcDzsP3/yF39wipPhPDjDWU5z jr/DufEv5/mH/7gQzpeLXOJ/rnA5nDfXuM5VbnIj3Atuc4dbRD7H3XB/SG6O IRkpSUEV6w/og6TiIVKHe2c9jablYdKTjmrWM+ijPEImMlLdeqLvRjOa0oTG JNCIhjSgPvHhO0RczP3/c/cAcfGbAQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1366, 1365, 1491, 1617, 1763, 1643, 1762, 1644, 1764, 1679, 1889, 1680, 1711, 1710, 1618, 1766, 1767, 1765, 1769, 1768, 1619, 1771, 1772, 1770, 1774, 1773, 1620, 1724, 1725, 1723, 1727, 1726, 1621, 1722, 1730, 1713, 1714, 1681, 1733, 1734, 1735, 1712, 1721, 1529, 1493, 1367, 1366}], Line[CompressedData[" 1:eJwl0llTzXEcx/FfcUqyRUmyRbbKvj8BsitLyt4yzZhRyK7k3h0lZMl4CLjG uCEpa/blGVR2sr3+08Vr3p/5nplzZv7nn1VaXVgVF0K4RU0shErusCshhOzE ECaTxSQmstN9vE5gDOMYyw730ZpJOhmMYrt7mo5kOKmMYJv7ME1hMEMZwlb3 ZB3EAAaSxBb3BE2kHzH6U+Iep/H8tYP+02J+84ef9PKLzXznB1/4xleK+MRn uuihm01c5wanucseblPFTc5Q6ncbtJp73Kc1ujPFZ3v1AW08pIyp7tNotzvY TTnT3fbpIx7zhApy3PfrU55xNvoet0bN0xrN1QP6nKX2MprsGXpQO8m3l3PO nqmH9AUr7JWct2fpYX3JKns1F+zZekRfscZeS7M9R4/qa9bZBVy05+oxfUOh vZ5L9jw9rm/ZYG/ksj1fa/Vd9OztIq7YC7RO30f/oV1Mi71QT+gHSqL3hKv2 Iq3Xjyy2l3DSbvduX6OJU9TH+t77/0LEXFE= "]], Line[{1641, 1447, 1451, 1455, 1456, 1457, 1458, 1596, 1678, 1861, 1677, 1859, 1676, 1860, 1707, 1858, 1675, 1856, 1674, 1857, 1706, 1853, 1671, 1851, 1670, 1852, 1705, 1729, 1668, 1850, 1667, 1732, 1702, 1718, 1666, 1699, 1665, 1886, 1885, 1638, 1884, 1698, 1708, 1701, 1892, 1700, 1719, 1639, 1887, 1669, 1709, 1704, 1893, 1703, 1720, 1640, 1888, 1673, 1855, 1761, 1672, 1854, 1641}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlHk8VWsbhlGSpIioo0klRYoKpXRHZEglU0RKhDqJUEmdkgZJEWUuikSn VGgSJclU7Mk8rrUNeyP2QJOovvd865/7d631zM+7XvX9/nYHpCQkJBQlJST+ 0196V7VkGIPwL3+u5RbzDTlSUipCahAFSwY9612/QXrn+/ZvGkP4/E5714uk r8g9FW9w69AQZsYumBrT9QVDS1e2t+UOodrpBLPf8At8RqZo5guHoCbLSolI HMFDtktXwDIBPE2dbxdPH8GhcxUxMvsFUIkz/5QZPQw3n1FeYLIABe778rOU hpE0K/DoE6YAn1RNt29IE8PGduha4UQhwkvTMkU6YowUxQZdWysE0y/kifN7 EdLVfENL3YT4cb568rYQEcQ2m1wdwoT4vGWkzFFXBCZHN9EsUwhXu+RJj+qF cO5qyL5eLoTJxJZp3jZCzO8e+GPAFyJYbt3X7EoB/hxztuUOCnHxqnKdZ54A E0sZHy4NC+H37LvT2lQB1rCsXDV/CJEaV2KlcVGAq08rFMt+CeHhrntMy1+A 0B3b99r9FkLb3mT26GEB0pwd73AJ32kp+ll5SAAli7b6gD8kv2Xc7ERfEp// 6+9XhPM/2L064yOAxP8fEbz//whwUNL90yLCfyaLpm8/IECWs3a8BeFfjz9W 6XsR+/P3NGIIj5TNdZEmc20+3/qkkfBft7OWNOwV4Pqs2tXzJEVQveugl7VH APmncVJ9E0QwmGH0jGMhAMe+a8+TSSLIUJto1VUC8IQvzYJlRViUfP1c8BwB gjjyLwymiiA1tcirb5IArUzprPVzRRjr8e3ZGT4Eg/w7/1A6IuxW0VJUlBxC +/h9E/WNIiTZckZ+hg/irm+C6M82ESYEqSbxZQaxNlQYEbpHBGtr5ba8mM/w 2qV4SzNYhBzN5Qa8zgEwgzXO90eKYCXfIC1cPYDL0eZPi9NEyB6pizsY3Q/L 1/0Jt/NFCDs2UfrXUB/0E3MfXy4XYcGhqDUudn2w2FJwPLRJhBK1A2/0i/iY cca69rVAhPZhj7cxIh42fa9tlpsohq1k1e5QHR4epQY2e6mKoWQutDlytBcb Qv7xfbNUjFNjrWe+FvVgmtlIvPxaMYKtEz/mTO2B9byi4W3mYrhaMWRXeHZj Wh/vwQlbMZ61TjlkUNKFNTfVD1BuYqz4lnvGoI2LIhvnpE9eYtjvufPhrCQX 5llRW3V9xfA+O/HxWT0a6073fJT2ESMwJMUktKETmR4mM608xKjUVXHKdulA /OqHG8edSP5VGS2dgjbsVEXZEksxJPu8l9+42QrL1tGR+BVilLw+//67sBm5 Ues3sOXF+PkyqYDt1YQxo9trZvBEmHli1NttuAEYtpiW8VKEwTux++nEerwN cWA0h5Pzc6ec+cChDjKfeApzLEVoGbsVJrmUg4gVIvcOGRE+jG/YuFSRjUpT ISvNXYg4QVNzSyoTrp/ilp9MF2CHvYbvMcda6CwOnnCyfgi13obZ57d+wiUR c6D+zyBsT7b6G4dWw/7ixb6iRYO4tJUxubKjElOc5++xNP0MsWrLdvPACnxQ G3c/tmcAyaGVzsOry7E+2bpa5UQ/nl+1K1s5/wN0kueP113vAy/75tV43TLo RFxS1njEh1zNvBm/vN5jkfFbJda/POD0dRl2Zil6b52zZj7uRVLaw6MFk0tR 6BBUHVzYg/g8Gab79XfIoTukGZ+6scRFmCq/9h12FdfOfMjrwjt5u8d9P0vQ Z6Zhfn9KF2LtNm0PelMCq6yiKO21XAxfcFvY9qwEVTM1k8/60/Bs6uZIUCV4 m5l2/aoHhZvFh7vXzX2HcC+/aoUfHSj+++4JXc93kPbz9zih1A6BQddRnvgd tBp8deV3tcIwP2Jta34pdueu6kkvbcaRpeHT3LLf4+GWGvGznU1g634v9GGX 4WCRN5Up3YiniXlxAWQ+Oao1HQ/a6rH2fLWEJqsCT5zk5H6w61DCsFbR/7cK VzWcr7zhcVDdcu6rqOwjjkmqHFkxi4N0Y46T9PxacBaFWVz2YkOux+D9jGKy zyi7KTM/siBR13JQcxsbA2HHtzRUs3B56sQJdYQnzLaPiCe80j8048x2NoxW 9NU4EjbjbLDU2sGGRqq+qgphOfmtXxoIuxit926sYuHNt3v3z9myEef6Qn4X 4ct5QtWWnWzUPFKoaqpkITbRJ0PXng2WlFW8M2EfD7ktlx3YMDdZc9/rPQu8 89WKPz3YeNnPVAh5w8JYvHLuMX82np+OY8W9YiG0qnLG2Gk2TBcJ6WcFLLzY mWZ85QobaYkjosQLLESXDAUYKHNQfkOgttmZBYH06p/Jdzlw5XB/31vBQl/a LK/kVXV44moR9EiGhck5HV+VK+vg4i2rHlvBRESSVnKfez3UzrbPjrBlIngk MmbxiQZ4Wud/FvczEB5yVjouqRG+xlrNP9MZZJ6BYUoxTShf65hbtZeB6BPa 0duuNMPf4h/296UMnJrI/ts7sgWJ+/bW1Egx8H4jMyjKrRWdLS+nnuiqhe1+ +zdL9NoQs0TUWlZZi06PpIzcSe34p+Vc4bn8WkyV/uwU196OU8tu+IZlEPvb 9Qbm+R1Y3xjZ6ZhQizGXk0rnsjtxOPWv7Xeu1+LGRT0GnUKBaeKmNSe2FqUp +1UrzWkcX7dO83JiLYLmHfvpVkwjWn98XVZmLajnF9Yzdbk4Uv8tyeB5LWrq 6wbfZXARwawaHa2vRciTCxX6hl0w5UiG3P1Vi4TuxQV15V1Quruf9WgFAzHp 4fyxbd1oui0uyPBhYOfvfWHLmd1I2heZoJDDwOG/5vdKWPVgStqzoCtCBnpM 9Yz0yH3rlKJ19V9jJvZaK0jFavTizYGchSU5TPz5sXSj2p1etOq611+axkJ4 8XaT9dN4kGw0b/hhQ3im4UmdAB7OeAb6HYxhocfz3UzHCh50iqUnxDWwcEF3 68AqRT7cswMm6M1n45bmri9uO/lIvjy2T/YwG/3pJvXHI/gw3eCm3FXERrEi d7/2Mz4W5xseH9HiQDMwttCvi4+mOWbHo9I48Jp7ffsTqT68PHv8m5FKHZy8 pGQCVfrA0Mo+kBxbh9A7P8PmzO9DWH/sts0K9dBXYXR9nduH6vTYKS2x9Vh0 1jxgsXIfrolHH/ya2YAb93QUH5N4MrvFQsdbDci556UaOsCHsvu6sIjFjUi/ 5lVuX8PHj0nakbXvGnGrJy+JkcnHmHv14tPuTdCKkG/xPcbHv5JHwuV/NUFS i93aY8LH07nez0dTm+Ex5cWrAVk+FC1td70wasGykLu9Uxk8+HzP9XrR3IKp vDTdmmgeAsxv7jx0rBV/WFkbUm14+DaF67BJoQ0Q/gnmyvBg57Q6YFZvGzzj B+kvmb3wN9xzOrKgHUn89C/PN/TipuGzlWMnO9Axd0PEhLoeGH2vKmk36MTg wOjzPJ8enFz8be+jvk6sSr2/J3qsGwkmBVl/rlEwXdDf5xnTDYWTf22qmEHD NPRc4c9F3ZDGml1nPGhM99V4OuVBF5Q7neQOZ9F4ZF6/f59eF1Lly/dN66Th sCrptuZbLlL8QwrV5bjw/njC+awtFx0R77fdW85FqFqiXHA/jcKlmyqbTLmw L15wazSSBte38wG2c6GtnnSgdxWNNX/lhN/awcUve6MEdjUFHcNetR4LLgJ0 b7nMNqGgZlNnbEju/9UJNuOuNZ1oC/Z/1aDOhYKJk8n3vztRvHFBnOIkLv4w klQ/z+9Ev5rhelMeDYoTHNTK7wCDxYl9VUajuqf06rSyDnx3aHd5lk5jYjTD 6fTTDjB3sZJdT9EYH1aXq3ncgbbKqnQtBxpG0jnmUW874PF9LW90BY2yvJL+ PZ0d+PHSbunrqTSClv+eelOuE0Z/Jd0za6fwtSMkf9fmToz2czd4ZlOIsX59 oDy8E4aBWOdzisKPPBsl6cpOpJwvUIpypiCdNa/CQ57C43ulTa82UojLnT3g bk9B/sBeyUQdCnMyDJurEyjYNATbxy+msDjk6YeKBgoXhnPpDwsp0Gf3SahP IH1wtKryNCgo/UrREcyise+QmTFrOYWXtkbGU5fT+BSgffyaIQVjl750+w1k j8zJjvbmFDQny27Kt6KRauSWE+VIwU9/y+FlpG/v3xmymT4UjqvFh3xypSFV ethVjtRf3ylrWLiPhl71nCHjGAojtw95z/ekcdN3ucWbTAoLtqivWEP48BE7 1qQSCpfNrgQoEXu5R/JQbaHwIb4giuVCY7Yxf/MiMYXac9oJyjtpHDKUHzAn ffjdVbG+vIXGg06mvj+ZLzV+p6fWiMbDpUH8fiUa9Y75ZqfJHpqd41/fn03j 3osRfbWFNJKfG/XkzCX7SlH6uECFRnj3yOsJC2h07wjIFk4h/fndmNRMuP+u 7KpGCRrZyg+Hx+fT+Hl/VobKIIXGxAcDXsTfP0+xeU0bhYCUgtizJP4a5yLa iEmhyFt+7ltlGqdCTOzlqyjMynpodXU6jZjNMjo7yinIyXI/WJM80ss2zTta QUE7J37NVmkaZuzTvqUfKRzRKdrST/JuXRyoa8Wm4HDwhbvrTwodG1u2eZC5 FEuZvj/whUKItnGqUxeFW5eYEZNFFFavUOJd/ExhxUpZ5U1DFHbVmufsJ3Zf n2kODJP3u64Ne50ap5CxqfnBN8LWN2/3vJEk+4s8Wp9J+to4d+X3T2SuN8qT ysqJ/8bd1kvOk7ouTb+20EJIQSbs9yruJBqvLdh+M8g+RlvKbvFkCJ/Jj5kx QsHtnoxNwuT/+p7os/orhfCn8fpfCT9Z6Jjn+53CYfdVLFlZGgnFJa9SRsl5 /tT1rpV83yg0l309RqHgSrDeUcJzAiJPF/6i0NJo2dVI4tNF1xyi/1Awj1bm zCR8ba+mehKZT2v5foEhqYd/qmv5MdLHYueXlyaTeqkkvYSFUjS2yCoE1pB+ ZhVPSU4nzNUL0r1B9MGL8ftDRK9Nyxo6SPxSwhVlFIjdwi2TzV1J3MaJVv5y hOsjhXadvyn8llJYyCD2KUcUnBlkfiUxu0f3EX7kc4npS+r2f5po10jiHH5d eeBfsqf0YMtAELYM7QwPJ5zn/dDiIYkbk3bOuonw5/UudzQIv76deyqS+M+7 rnbDj/QXVxKwNITEV1npwaBJ3qvp63PtyBysgo5uPkV4UQNjQJdosaXbvg1E k78G3JAmfpFFrcfVCT+TPTm9gjD/imjdEsKPpBvt9Ekem0BFE3PCUSY8oxOE F/Wk/w4gXFhR65VB+HKyx3g24feX083eEV6eWbqGRzghoz+ATdi1oKZHk8Rd Ox49+t//cPO9yaODhAuHt1lzCH/V8rOqJvzQO+Lta8L+CfWT5Ik6nmcciidq qlR6Xvs/v2LmmC/RGfxli0C0q+Gj3/r/6unNvLaF6MYJe4/PJTrOSZaxItrx 2OOoDNF+Tt8TS6Juyc8/80me/wGxIqz5 "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1nk8VN8bB3Bki1AphEJFSXu24tsn2UmWFoW+FSVFWmhRURJCpVJ2Kkuo lCU1Y8u+Z4mEGvcOGds01syI6ne/v/vPeb3va57nPPc55zXnqDifsTsuwMfH t4Gfj++/cSJApjTQeAppo3/UnMKnkLqwyCbGcQq6Qf7qF1Sn0Bg23dQXPIXe jN334/b/hEGuaYdS7hTizMtMLSMm8bHcTTGkYwofsiycWzgTyJ0jv2jB7yn0 lRILqmwnkPI6my9XmQs3VuX74IJxbCYX/jppyIUa1/ZnkMY42g+8Hd14nIt0 LykDo2djeFeS+UYgiIsXoj4frRTHsP3K2y+P47mQEnJxOVM6CsdiCdMXOVR8 jaQS020U73aOi22v4SLX9yDj1sJRvDE1ULdmcHE1wNDR99oIMtX5n30d46J8 Xpre4BcO+E7b2sr95AIjMT4TRRyM1wrds+VxISmUbiyTwkHC1PTe4BkuXMaW nLUN5SBEQDyF/oeLhSm82pSzHBzoaTMV/8tFcXtXxyJPDtZlv+9xorzNeIVq oDsHwj053q8px8lWvf7pxsEe/4t6XyjzP2ELvD5Bzf//hwfX/z8cHC+vLV9N Oe0JvW7ZcQ6e9B4ItKW8svTQ9i8uHCTf4xdMpiwhb2RkdpRDfXexzyRlZfqR YPq/HPQK3GcZ8/NQ2pYmouHEgfKXB3rnBXl4u+P9yrSdHASsEFgYJ8JDtiFn Yps6B4af6CdKxHiY4dqYsaSo73lyb1uPBA8947o/06d+ID4v+6HDch4KX7y8 pWr7A5xoA0JTm4e+mJU/zr1h4/zplBhPcx5yRA+bH13Axoy0rbaQEw8jbNnR 2ovDOFropzp1mgfrDyEGgcQQNowq/v4ezINW5OEeK74h8Mcs8jB7yoPXrzTO 5KpBRO6lecq+54F3XopYtH8As00fBc0beNC88mDJntB+OO+10GsjeLjyZ0/u vxUskHcmtbLGePDnTHmPzGFh4N+psECRaSwbtV5TKdCHCO/N2r+XTCNQPPLd IvHvKI5sTOZXn0aXrr3lEcVe/OlbdtRPcxr0wtum/2j3QL3I1vGI/jSiTbST bA8woVx2d1XkjmkUh4fH294koaJyZ9d8g2lY95QcnTlBQPQe65us3jSufa+J EtvIwPGvZm3q66aRnH1UUELmK+JexNRqyk7jvuVxi61LOqG3WCxWa5qHhlEp N7buF4iun2zWbeXhpvLjS7Hen3Fk7oF8x1QeyDwf/dL6Vry3bhP+eIYH39Wc iG//fEKmeUPSayUe5G2nWiRdmmETobaGUc6Ft3Ryx7vjH3F99Hi/ziEuShUu XNtsX4ep3qqpMvYUhlaH/c2IrMaPhMjKRK8peGuxOjKUKpHe5bL7z/hPuBqu Djf7UYZFu9eOKHr8xEsOLdTsVwk6XGJzNMlJTD+o9PO7WYwJweUfLthMwt1M wtDHpwCdPM1jf4sm0Nh9uYHRSAPn0ZbfXeoT+JtTzbx++R3u0D6m8R6N4+2z EPd2j7d4t9L66Tq+cez08hOWS86BQ7HH7BaPMdyPlmSZS2fDV3Wp18vOUSwv kusJ8niDQwXTTHnzUQQKWj6zE8+EVUKxlbbmCGosbvmmBr7Aqt7+sPbuH2h+ esNe9Vg6qnUeG0pHsDEw+yA7Ouo5JLOqApNth/HRufS1iXQqOj8Y2ggqDCFR LKMrtiEZwTUarJsjA+hZs1SlJT8JHm/2Nxg39UOCpH142f4M9uILPPbms3BY 90LAFvlnkL/x5/qLU31IDDBddsTpKdQyfK2a1n5HlOpzjlfCE7xLi9ex5uuF muxsgHp7IjLi4lQSvjORs+XuCv+DiRCQMeuT7yRx5o538k3lRHg53A9HPoGF H+wC16sl4tvmgOJfBAOz3L3h6icSIV9fGSi8/Bu07ovs8mUmoiZq58Ea0S60 DRko1LQ+wYfH+taFSzqgNvN0MffhU1hG+DEW2LWja+NldsvpZ4gwZMbJvWnD 3OOXVtz3TcI64ajlRutbcSrE/2tAVTK2RrGF1n9sQcyQWKXm7lQ8YI36RIY0 o53//RZXhTR0MBeI1ZQ1orkpsklFOwOmmUs1Vok0wHLpoK6A7yuMT+glNsfW QtJpw7k+3Sys+EfV6OrFalQZuNomRecgdizj56OIStS5qwau9syDrMoVh83s cjQmo6e6ngbP0ymn/lwpQ9gvKSezykKE/JUTWaNXihNCy2Jj3pfA7fQacafV Jbiwhb3lq2c5vqgtOmfkW4ysZn3FkAdVSOvqpPFtKYJX2mAM/Gth+qYx212u EDY6AndXljWgQ3yJ6R/1AtxpWrhk35pmFKjlDZ46lo9Yk7iYowqf4Kknah9d QQe/TzaraFMbprpX5CeY0nHW8e3AoZPtGH8UolgyRIOk+Oqrzwo70Pooqe3s SxpUQhlyF1d+RbhXTe6uYBpovPyehGgGxl2bDxlQbrgaHNoSw8BEYbmENmVG 1NItQnEM7NVOKl9D2X7btW+68Qx8i3C/rkQ52SYpyCOBgT2RSgaLKK+qubfp aSIDZ9Scmn8H0bDZbuy2yDMG1Jt3XOqnnFnt3OuZzMDS2HqtFspWEV072lMZ iI3akc8NpOEQ/XUQWcTASKO81yrKxMPRz8OfGXjTn3fgyC0aBOPWS/B+MHB0 t7tLUgANi4vrxYSEu+FTb2wS5EfDNdh9eEd0Yzz56cD2azQY+f8bpkcn8Gzn xIr3lIvCpSblzElYfL7l0XWdho7Vn24o5pFYXndM1JnK33hEoC5EgokhXQeZ p6E0PGzZFOp+nIkPY/GioQ9pONntpp1eyMRAQn7k4nga9FE/qSbdgwMevzl7 M2hg6nlKv7vUg7/rt5i8p9EwV/jCQV5XD07aKO5fV0eDwvlD/9Tp96LxpOn+ dAYNB12LDMUSetFhPTK7ZIIGl1yZtTEzvbjge+5g3WI62F/aUnfe/A4hWgt5 VJ+OLyfiN1cK9kFqwb4Muisdgt8shr7e7ANtg3/Hq0d02EQ/97aa7YPxwPYI uSo6zq9zFmafZWGn7i7O11907B+KlX9MstApabxik3k+ZPVnOhrP96NHsEnB NSEf2XV/JvRn+rFMbK+nJjcf6aKJG3p8BlBLCiU67i/Aul3un7s5A9jFVS95 ml+AGumLyzwcBqFauF2lcUUhDvGsEr8UDqJz7NFwzoNCLJUx7fKTGYKvs7JZ pkoRLo71RgheHUKUy2YfH1oR3Ho4NNvWIUS67pFu3VcMw0UCe2yUhyFZpq3o N12MvStnk9nOw3C+q7nRJPkDKoWyBiTjhyGzze+rn3oJnI4a50U2DGPe1saI 7bdKsH8PI8/+5zA4mUv4l/8twTEpZxMNZTb8P18VovuV4lip1PqoHWwEpe5z GRQow2bl7kC+A2xwPHPrE8LK8GPe+U1PT7AhuveOUKVcOQp/X78deJYNDZnc dbYvynH5n5FvMV5sOGVFiunsqEDYwbJzKefY0HM19D7dVYFX6p0Xd7uzcWNG yDw8vBLuOsUz5w6zYav8Nn2bRRWy9iu7WFmzYfENXa5i1Ti0Nlz8nB4bZUtS HcWbq3FTRyXUbiUbBvXLtJTiajC4xNLKVoyN2iamQ7R7LfbNqwjN/zGMC4rr FdwN6sDyVQpraByGXtvM4xDFekileZ+iZw4j4k13U4FOA37Vav419x+GUYFx nqTjR9Q3zvEfp86VBfr9OTZBjZjyk97WozSM3LJ5Qcb0JriNjQ/pDw/B1OmW zyefZjSL9tUsfTuETi3RqjvyLahesaEz5soQAsptKp4Ut8Bm4npL6XZqfYU2 aShf/ARhJ7dNgb8G4e9mPTF3Uyusmk9lxOcOorjMUX2a0wp5nZd02VODiLXo fnmN+n+ve7v2ovCyQQh57Xq3+PxnbI78G3+laQCo04zU0W6H5xmZgNt+A4i5 wXtoOtMO69EjpKnGADx/FZ1t6vsCqxNzI30q+1HPMhENbOqAptU0We3Uj/U3 tI4rvO/Ere6rFd5jLPAu2K3ZENeF1kZP8mMAC0VKzx0srnzFfeu1WusWsZAw 6Ww4aPcNtwVznk0n9eGJrBHvrCwDD+TzNnro9EH/u1Pmw1YGDsi887es/w63 paP6YkHdUN//QHve4e9oWybFfbKOgMCMcJfGRC+ypFVrN9QSYI0+bNxwuxdB V3i2HRok1qSY9Scv64V3241MPi8SxIjRjZMve5C+27TidxaJgb1Jfpf0erDr bXezVx+JS0UWFTFNTIgcy83ZOJ+JqBAt8Wg3JnwlP4+s38SEisHQv5tEmLjy vXpRlBkTP/Y9fCT7ioT36J6vvL1M7OlwsqAfJ5FQJT/P0JGJX/lDC8+tJLF5 hXNeM+Wdm2/mirQQ2HmKv1nCnonrXi/u7zlG4Jb4vUJvKyYgcj9Pfg4BjegH zmFgwmgH2/VxZjcUNq2+o6TBxP2GKyreDt0YaJ/JfbmQidUWs8WpMt0wmf+q W4JLQrlDTnOUycDn0hR1Fer+0Lt1MmCggDofqkef0ugkPrxV5U5S54HFK7nW 2BgSi4clNGyo88dHx13fz4eEeMnY6Dzq/Hkq4vpY2IFEScfFEfl0BmZGZvnK 9UhofrabsfzAQMTpgnnrlEjsDh5Z7EDdQ+iG/h7pgtS9NzVq+gd1PpgEH8kU 7iSwIlR3/nPNbvCVF1ZxMgms38h6vvREN5peGSTtu03gWOpZtcn4bsT+PLzq mBuBE2FvF7a1dSOwfybK2YLA/C7GOZoMFWf/THNsC4HI35qfW+2pdQ/kVy1b ScC888VMYCSBtGuXH7goEshoMNjuTvX344/8rabyBMKimTFZc0h4nOOE1C4l kGn4Xq9CgYSlMP+p/WoEdrNu2HRsJHEo/eekOpVfvODJfa+dJMiv2cl+hgTO FvASA2xIHLAvHg/fT8CEKzZ3gSOJnD0GCYnuBMJFn1zTcyYhQoRpTvoTaHPN atByJWHyaMkqVjSBOftMZw1OkKgaPJZy5y2B9D/2qySo/SHqOWRi0ETg9oTh dOxhEj+eVOnrDBCwuxBSEWpP5S8/OFn7h4CNhbCHrxWJwZfKA9vnkmih/bor RdV3Squj/PoCEkrl9+ratEjIat9fvUCOxOzKl7J71Ums5fOWk11KwpodbByq SCIuKjXPTpmEW3pFlNt8EuWFhz6SKiSOrNmivUuIxPXFC0eGKL+Ri63nTRF4 mRiom0L93ps9Rt/HIqB0slbZZBmJii/JtwY7CCh3mR6XoPpoMRJ6saaRwHBE 2SELGRJ+o64bq6qo9UjXLBam6nPMXh1sWU6Ax3rjmCJOomzZ6oMtlP96vei9 KExi+HyOy6tqAhuYR2xL+Un4l9w2U6Ty3RPRijo5Q913Oy6mHGwnULrYOIQ5 SeC1oaRPEkHgT7e+rugogSTlBG+jQQJczz2S3WxqP7yyLEwZJ2DWfYZrMUzA 7433CmMqz+EK11wJyunlvu1efCTmup9o9KP8Yv8u8yEBal9n5EcFUvECXl7L f1P7WNVRgS7CITDmebMljapzz5nzekMj1P5R8UkYFCFx0/LomYXUPM0/salS lER+8KqRZKq+Vru7R0ypddK9xV5rySVQnydjeJgyfwubOTxN9cHXWVqesrJd RunpWQL+0eeqg6j4n/l9XYXUeocmvjPKo/Ibfc5mHqPqDBLbmpZHzd8Xz2St pfpjbm7RR6fW6zL731NtlEVaeE+yqHrTeyqsHKjvuKwZaJhM7ffWiWMPiylP fv70Tyw1BudW6whQ72N5cxnxVFyGtYnMKsp20i3bsql5fLY6lf/nE4IzFaVU HTeJL8H/9WXjo7/d76g6F2/5E3udsmJeepUV1c9knkUWl8pzsFeVFfCLgNvj uEhnyufl1s+xpLzxF1ejkcp75lKG5x3Kz5eufGFMeabkztG1VPxg2O5zD/8S 8JK966xM5X8QkN7RRs3LGXCW1ftNoOr0tKs9Zf+64m5HalQ7tNlRjhrHaPOk 3ai4R8WrGudTLli0U0btvz69cD2gTdlNXVnMj7KF08tX1yhzXRwc6JS9jAY9 3lBu8bPO+6+u8KP9/izK6kE08a+UX8lm6ohReasbFXy7KRsrzOqtp5yqdo38 z/8DjWafIQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFlnk8Vev3x1EicwMhlEJovnVLoU9JuTcRkpJKGYqUIRRXSSS5hCjhmB1y zENIEUXIUIZEF2dvhIhTZor8nu9fv/3P5/U+z37WWp/1rL33kbdwMLLm4eLi Ws7NxfU/FZRfOr+wsICvoaLerNY8vNPfG8hgL+DcYs3wAIM8UPuaXrvJLqDl w53W+n3ZyH0Zzetq+hs9ExZ8wwVp4C3rWj8ZNg+n4GGD9r4U1C1Lkd/0fg5f ZCXcS3KTYBm8ym7lh1/4MeKu/++ReESeUsqdbP6JhapbHgPrGWCqJ88od8wi 94BOSUpVOOY6tqlnfp2Bhr5uzoaDYXg1W1uuNjeN2bNPjBPtQtD6/GX7jt4p 1L8uKnh4NAC5kjv+9P04ieTUuYKD0/dgvueVuGPjBKy+1AqVBfrgvc3LzYva xtHLUpotbPVCRaaWsvLXMcS33L2/2OgWPI94mkjUjGLLYtMlFXNuqGxznt3y /AckRP18P6S4IiTUXCbG4TvMjbfFGIs6436Qxbp7gSNglA3cEuV3wu4M1s8J q2/4fNfsJuugPUIjwm40Wg2CFVO03+aKHRKKmrMNeAZQvlk3trDWBpvbRJhP 2r+AN/5D+FbhS5ArO2oS2dMDh6H6vJo5a/Rd9VnMWt2NOaFwpw/XrSFzUe5Y umUXnAUuPym5bw2buPMqT/Z9hqq6msi/gRfxPXHFtsrsVtDTPxTaPG3At2ba Ty2vBXyNagFsXEZ1SUN/V28TrLKSXQ67XIHykucnLfc3QmysW6ZK1QGTs2/6 n/s1oOTgPxu2qjtB+lDCCafWWuTt3Es57XaGw+5S1+uWNTgrrF7YFeGKFeeH LAY2VkGCzRt90skNUvVDs7I5FVjOZH+qf3cTIuMz7Jof5TjbNbB05dgdXD2X e1TaqQzPVPQMBOTvQvCwyFrFbaU448nnHZl0D+tK1AP2r36JH/mP3HXv+eOt ol2q5tZixB73XnjQFojxxpQ7G22LEKR9Pmb2eAh2Sf1x2aiqAF2rXWrhG4rX MsJnnG4/g88OIRd2zCPsTN/ob6ifD4UCeq/ybDhk2hVnU7bn4cXS/JwDcZFQ LuS1VFfOhXOpYuKeyGhEzD9oGN6Wg95FBYdlRuMQX27UlMedjcyIYsMs8wSI CXgv++tZJt5x9vjFDCTC5p6jVJVbBs6sEd+9LYyJ2Puvta300zHZukrH3joF oovC+y13pqGTa3Ng2IVUSPRZ8FaIpSH/XHvMhqep6K+UELs4wsIl6xIDn5FU OM7oJR2tZaFN68/s1J0s5J0tPHP9KQtmrqffRt5kQcHu+q7fSSzIHeit+OTD wow4/8t78WS9prZJPICFlHNGQ6IxLOg5Rn43CWWh8d/EDGMGC1yMAJ6ZxyxE Rf7v+n/N386fSz1hQSI7zG0v2eenPjSmGM5CZ4h9RweJ+246sC6PxOFr4GOt SWUhMJ7W2x/MggdXxj3rbBbq7evd35O8Zw73umQWsnCXGg/wsmWh4OSpt5wF Fp71KDm76LCg3bW3i+tIGiwaxBpZiiwce2H5se9RGuy4Ig6uXcxCvM6bmjg6 DTeNYy7/mniK6M3NbbU3M3ElufjOm6kULNA6e7025WCroLtTFn8KVviEax4p zcW6YNqfRzUZX8IWxB8456O2TmlG8DQTtWaDf28xKkDQxm8S8hFJEEnNv6Fy pggPniq0cPMmQbr9IfNfhWKMX/nuaPZPImq3q3WMCr3Ehi1Nd6npBBg6Se+Y lyjFt8WBTK1bCRjslLmkrV0Gi3J9NQ2BBPDrKjSo1JXjnX2gVFFIPCSC/p0e +uMNFobXZ+xcGw9Nrdxlms8qEKdZ7p/pGAeZdI0EXoO3cGNz+/nmxsJKylOf n68av1z+SdTiiUX5qUOf2Z9rEFjKb6xhEYPp2mCx0ZpaPPTpSOMPjEan35Vo 96EGTEn8+VCglQHb3WPGMimN6BpipD44w8D2zVNeZnzNiPukdcZ6IgrVRgev Sf7Tgum727VKGVG4YvY0dsf8RxR/f6D4zjAKqj46WRrBn1DdncSpFI/CzxiO lcuWdkQbxkZN9EciU/BISVP7Z7D2mFzwrorEV+bWCDeHDhht7t7mmBOJJu2W qWbBLlTq7czazYzEfK3kZGE6G0/uzJeeSohE2DIDLWclGuLZqX6mTyPBLerY 9GCKxttnKdeqCiIxKSB3S+BtN5rlguX+qI+EVuVf65pCelDhqeJpwxOF5M+X F5w7e3El7d5EhHoUxocaNqn99wWlMW5T2deiECk7v8Qjvg9mz+0F+XOjMPfY JPzWuX58M6udPDgVhX8ZtFHkigEM+pY9F9ZiwDS//7hR2QCKhbYek3jEgElI wosTF75CZnH5CfFhBuYURAxvzH5FlGhsYc3f0bjhfl0yy28Qx8JVjk9kRMP+ fNQ+MaEhqG+Xf3npdAx8ljtdGf0wBKOw0T4Z8VgMnHPxMvf4hnNMJTPrzljU 9nmMiIsN40Co4+rc7DiYG9n8IRYyjL8uRyYe0omHUvKrWav5YbBceb10S+IR b6/GVjk9Aj2jgVNVuxKQeGKFsXnqCD4tvf+KUZgAy/LAh72DI4g8NuVdrJ4I pmb5Sru1HLg53ChZWZWIA1XmF2/pcXDoqd1A6okkHHV7SLtc44DvwO1VkjxM SHloxMY94uCVbfvJwAImVrkoO6zO5kDZNU1vlWMyloeu/qxWwYFkUunxpu0p uLrNcLVYMwf5rYKJ7T9TILKvUty/kwMP5qVwg7qnWBU0EWPRy0F3vrD0haRU zK/RFNozwAFj/pLcLvJeGqxQ/RnwlQO56TnhPEYanim/6ztH1usVRDtWlacj 6pB3Vg7Zr2ErKln9I4Ocd7D0aBcHS3oZLxS2ZIHB6Ja6/omDXSF9gVFu2ahT 8zS908DB0WwfU12bHFi1/JOuTer1vdQWd2h1Lv5KUPPoK+Kg9ZZLh3drLnZz U3me6Rzobkxw2/kkDzymW1QUYzlI2ZlyJuJ8Pnjt7okPBHNgYqafN7L9GVjr apa89yL+HzqVuQgWYGk0s4dy5OC44bpi+5ECHNGRzFhznoP0uxGPZdsLkUQ3 yAbpEz8Lpu9EuJ7DZpOYxg41Dsxq7U3D/yxGkE5OcBw5n3dV2QOq7i9gcvrZ ono+Dq7pVjO06l6ieK1qavbICORGv9gabSrFR/FMyf3NI6ielNVuiH4FPp6z DU4FZB7GnDvLNpbjyw9ny5jQETzkm2WwV7zGZ1MXuU9XR/CPd+mkKN8bpFee FeHTGcEoy1CLwVtB5iEuWFpuBE9adpeWi1ZCerzH5+fYMHpuSS0UKb6F10U1 v5C3w2gG2yBLpwrPwhSVqh4Po8117FOlazXmftqI+1qS9Y4bj0RyatCuyWNf tGUYzrdP1S0h/wc0cvY4KTd9g2LpdIHm6gZISOS3/rL7Bhv+uN0xdz6g52dX b/fvIbT3jbStXdQEZj+/CsN/CAGiLXKbjjeDKRx64LfgEAxkudcsZLUgiHXF +7fvIDasEjVbvrIVpfvPeeVPf0XDrr5gzdufkJM1sPcCeV6fXdKZyRtuQ9t3 +QyvigGocMmO8Zz6DPP4PO0auQEo7LhRolryH4bFRCN3uPTD5PzfnTkrOrFu aIPF0rd92CW4T67pVBfKJ5Qy2Mv7sCx2w8hzXza8JB5MPjb/gkvH5EuaH1G4 KvVe0DSzF3UujEvrxWk4OJV6eRzoxc7cqMD6UzTUnT3HPdt68HHhjdTPRzSC LpRKzzv04GXojjrTdzTo5VF9IYI9MMxO73k2SWP0zpWulrRuiLl8vzsm1Q3h j3zGZvrdmGde3Ce1qxu5e5d6F5D3o+seT/9jR7pxQqk66yKThq2/+OEOk27Y PTfw6D9JY//FiyV/n+lG6+XR+o9Lacjc9lc7ZdqNQDXb9kk/CsL5l7d0kbj2 AQld1sIUJnrW3a3T7AbH90zZVSYb1o2doqobunHPSPXdPj02bsQz3ggIdWNR yG/fKj42Zpn7xu+M0LgTtMk2u6ULCq+LDsXW09DRfDVmkdOF0wEs7wtpNERk ajWEY7qwXvp98gs/Gl+DfT4mRHTBfEtMNr85DV1PakomuQvhcVXMTWo0Nk8I MiLfED4voKC8kobJUS1hW04Xwv4aD/EZoKAuE7I+R5ENA8aOMuFsCisNhZ7e tmYj2HOlRextCn9XOVwcSWNjIbrf8a4phRUzxrGbxtnQuD/k8UKDQtbkH/pM dQpuZkEZ48oUKpaFK/J4U7j81KktVZbCydunFv6qpJB+02GxqjRRge5jzF8U Ogurm91lKNR8LNNMk6AxVa/NPbCegirf+pkTm2g80sV0wVayX/pRV+w+GlfK 3fcqgcLS9DbbK3o0iprpfTcMKXy6sHemnMyFzphJ5LA1hWBHo12F52l48kRG NXlQWL5J8LS7NQ3v61/MboZS2CjHq69zicY7E8+DBiwKVQ9iftlcpKF/g0vg 7FviVyzabYkFjeq3j207KDKP/x2XjzpNgycp/eaSGQpBWx6wPxrQUElN/pS0 hEbT+NU+q0M0DHcZazJEaahZ1Vd/J303Dg07W0d8fZdaVC9M/HCzXStUZWj8 Z+zvengNDYpb0vMNUZ4sR1mRFTQG/UyD0uVpON6I9arko2FuVrpIaB2NE2pK x2xIv6qErAZT19LQ2j7YbdlPwXNC/QhDlsbYCj1L7U8U+tyvJZ+QIt990fxv ynUUftmPbjlCzrslT0HgC+m/wYoAyS8iNDZKsDuXVhCfh7NPepM5Zg4jaIGs s/ulBF0W05it3rNZsJbCtrIDhiJcNC57b2jf0URh1mNQoJD4v2mS6dn4mYK3 /++y3jEKZtGeezb1Umhe1qhSxKGQe5Z/CXOYwr3zEtEbiF6jnstnTlJYRnGL r/pG5uX6ZZ7P8xQUXl07e5JwtEKmvx0PjQs/NPfsJvfHROmp+JI6hj+773s4 QmHv9ObbmqTPqxYVfTn6nUJiAs/iMNKf4Sd8mYajZJ4esPT8+MlzHt/R5jdO gaW7LkmO+Epu515oJ3lXZ2v7mxP2aYwPXEXqX2TVc9SY8Hq3vGbdnxRO8ORW LSVsNFtcdmmOwmSMqbI/iVftGHXb/Depf8pcpJPkU1lqWrWS9OOt6OHtQoR5 3j86SRH2GVm9Zj2pL2OspOANN6mzTs62kdSfls7StSe+doyrCbouohE9kqrU Q1hK1lxoPVFZCxaPPPm9fvF/RwdJnNPLpN9sJXz9zvnQlAUKHS+46ZWEhf3D ZZpJv9yNgnRKyT7/38WcGTIPAWpH12kQ5m2xa2giPuif2npMkt/SxKDaiHBz 1YOeJYSp/zbUWRPuf3927TWSByqb+4cJUxF597tJnhtri9WrSLxBN/2MFYRb T27L/ED64HjwrEsx8W83e0rRgeTvSfdtuUb46pPxVyJEb+5acxdEN0vWTrGI 8pZxSuWIrv3wjaNB4tTqch8RJfwq4eX1SsI9TQ8j/sfyF7fyrSF12CX1lG4g HLU+TMqG8KTEdhsDwi0jsIsi/KZYMuAe4fC5ocBXhP8PB3GRTw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwt1ns4VNsbB3CFXEuRa0mSW4kS5VLeg0JuReWSKHItyqFQhCRRycGIkxQG NUVU4ihKiiQKITPG7D3jfo1cK+n3zvP8/vB8n8+evdZ697vM2qPoccbeaykP D88k/nFzKtlseKKTBEuv3cuPJs2Csn7iqhP8bBAamb3rNDQDkquh3nYfGybl FtKOLk7De+pwWO11Nrw1fupwafM0SJ3vt29sZIPByCe17/5TkHDjk3G6LAfo bz4JKGd9B8WQVpmDnhx49yjgpyVnEiRrKXm8RRzwc4/z/6M3CXV5h+oLlvbA yJkXM1ORE/BWNfuPxeEeUGkqnpZ//A3ie94rDeX1QP3GKw65EeMwnDwwN7yk F0R9ngvabxqD0kGNTV5HeqF2hY+Z/dwIXE4XXGH1uBeOhJLL/VjD8HUwhn54 RR+4DylN6eUPgTq1vsrFpw+cefm38V0dhGtOWXq7Kvog/vODgONRAxCgoBOZ LNkP7Te8+R/s74e1Pna5ht79kCSqlTWn1wcG6/Qk+R71g+kL8SVxO3tBjmqd +rqnHx7pWYdFWfTANH8Tp0NmALTpOhVP9ThAdYqYCjccAK3SQJViIzakVPzT rGozAI+nwx6OyZGwFF54pBoPQIq8/FpHdRboa/leVZUbgJgAfueBg0ww2Cn9 rL+zH/yuu7HbnjJAoJHKdyy6H/Z2nUxftYcOwbXMn8kS/RAsuUuT4O+EN3rp Hm1pfWAb/jjl39kO8PNfM08T7gPF0Rt6mas74LTrTET2uV7gdZ3X3e7WDtcf R9C2MHpAOZriWNDSBu9NCxJTDHugXCnIRTegDY7tdWLV3uFAQbTzpJJWG+gc 3Cd/AvfXWyO2OEC6DcoKpN2W/8uGsQ+9a2Nk2mCx/PSOkbVsaAnQDfDe1gYm YsHZU/kkJP+mVK5zb4MzqfmyEzokhG0306QVtMG4o6/1HwoBmcxrI3M87dBu KlOn84kFMvGnA4ZPt4PRRNkrFxUWnPp81quF0w46LfMb+K53g/Zvk+Rhzw5w uTqp7LLAhLULR8TWTHdAjG7sD/8LTLi4fV21RtJXaJnQVFHnZ4K++8e1TTqd EKZ4M8X7ThccsfNKTOzphFwvxd5UtS5QXLy1VbWJDu/9rvEtq2fA7OvjBs9e M+BtnxGplcoAtvfcxK3jXXBvcVfKiBcDGg0mRN8tZYLI/p4Ns8CAWAljikE+ E56C9t9Cigyw4Zi7/TbrhpUv1o0xBRkw6VPtLjnQDWTG/T0qc3SY1x8TTItl QcZxil7QBB12bl6fdraNBY2zFBHHETpI6TgYWioRYLrhl0XDAB34qD9afwQS YCsgHvamD+scdwn2rSJAxjVHQRvd3BVobMRHQrHLPWU9dHJquvGMAAkdPhfa jNG1lUs9H4qQ0Fx5RX0/+pN7eb6rGAly96Q3HEefD63hFZMgoZ9aJOCBnvMP CgpA3/90Y/YE+kSPKfMjWiuwdNwLXSC3w3jTahJeW8iNeaMv2oYGOaN7xFrH fNDPw6Nz49FlxV0Tvmi7a3Yt5ehD4jtn/dCOHsOL/eivir2/T6I/j1hulpIk 4XSHStOHUTpwQk2mhkJIWN1mVTn4mw5qFYJCLq0kOAoLF81KM6B0l8GqahU2 nEmcZfbrMqD2sGm9zSk2NJ8N0HjizICHf0/WldDYMGV//kJTDDp2saSWzQZF wTGn8hIGhF5taYyS4MBo86Wt4xwGcK5IUvuNOJD+a+eBGZkuUKo5aC6B59ax yUS/cIsuCEm1PXUskgOuWSJmKy50wWiwHG8aBT+3CDbwL+oCU8WM+x0FHAi4 HRB4mNMFrOyKPsvnHMgslWZfl2FCBWu555pqDvyRPuK325UJ6k5XSv6r54BX o3anEpUJtn93Fzo2ciB37o1W2xATbm9f8dzuIwfqnoimDWztBteMwF6eOg6c 9Op0EbjWDV6XKdubKjgwJi8ZfJrTDWmMZhOJBxzIntbojrdmwfvyJfzM6xzc hwQZ92csWB/peinOD+vTzj49IEnAO1OXe+omHODTc9ytGkyAtooOo0GKA+K3 469YNBDQUnpV3G2QDTyvZrSpUrgvI5Ovrj5ig9a430UwIeHJwKE/HH82iCjk j8w7kvCM/VggCt8Tro30ItopEjRiXe124v7Q5G/z7ruI+5yaMmLCy4bAiDTr 1hu4j9aTW9tJEuqKzcb33CZBqnBpt/xrEoQGZUqS75DAX2/hxPyPhAarv3I+ 3iVhYB9LmfqUhKu0hsbv2SSovtG9EVSIdYhMGQlQSfhTbNVsWUCCAC04xBB9 s5ivqgjPHdW9myPPoF+0bH2zEl0SL+9ARY/Zs5nBeSR8+6C8owpt2nonUBmd F7hb+Cua+v/Md9JomMBMmj+WF4/JDFSPFMb7Ys4H7TFAsyl/fdqNjlIL/ycr F58rLnU8EO379uA0D3qdlApBRSv4LQ/0zCFBJorFn451SjsPnbXOJIG823Qr 9AF+L7fkSBmlYR/LanL3PsRxX5lp+kkkZDo3GS7B5xRhH9WGBBLeJTb+yijF 9VIcdub6kJDA1KOTL3D8vc8a8eYk2Kn9KBp/hd9Ldl65tDoJnrSaSGY1CRtz 2qKDREm450FZX49WWGNmf7KHgAAlzlaiCudl39mVRyVAbUX3Qwnsu0y17oGF kwTQXR3OVRaTEPuXomeBPgG+D8gSHexjq5eQ6EsxAjxKzHPpGSRs2pGToTfG Ar1+n0bB6yQcPbPJi6+VBQb7VCPpoSTYlwtLplewYA//IZVbJ0hYdspOc0Mh nvOKXbJDtiSYUNhvOx+wgM+aV87fgASryLTjbx+zwM28vixfhQRN/9Gs+koW HLgpUyiA50Zz1pe/ylrwvFRLVB9fSoLsA7lcy1EWCH079BEGCLh25JW0kQgB pyZt/stqJCB6Sf1K6y0EvFL+rrK9jAD/tNuphnYEGOiqJMnmEXBahvWl/xwB GmHLSi1vERASdinb+DYBJyqcv+bdIIAGzy644XnbS1Nd9S2OgEPvnhsEsQiQ MHfI744lwEmycFfHAgGCFU6L+fj5lvsEw3UFCX4Hzqz3xvFD3V+s36/BPtrN NfmkESDKUysVhc/FVL6kOpFNgKZttViEJgm1gauumj0mYKFAT6F5O34fNprb vagkYJPZ2GPqDvy9sHH9y/sfCbj8paRn604SaCbXKOEMAhoaR8Ze6ZIAuiES ZYME8O3ekpqljfsfv7xkdIaAGbabvCLOX2M1WRSH/RI+I2LWguurJKswSwVJ uF250jF8HQmrlAcn3JaToKNAf/MOz2PrmtlnkSvx/59yXHQ3Xifa+MuUxUkI 8pqLcOYnYWb+TVoYelft14Y+fH6yXJ6grSKh8MMV6rVJAkScQ1jT+J5RqApI 52BdPsaOlRk4T/yNLS0LHAJibtltaBMmYWctmVlFEOCiqGX0L763VLc9cv2G /T3lHnPiJL7XflgUFCaRBLjlBS1eXEJCxEnJUoleAnirVAznfxOwSImiDOD8 ki/fnl/4QUCUp5HmhXECwqyCjNbPEbDMR/it2TTu6wXtCQ/sh4CHhxAT73M6 /KPqA14nyADzOJznTtg/K4vQ39un87x58DwJX0X7jTZ303n0Gdfl8FywfYjj PTck3Z/HPnJSg0qyZwkQnhZTIHjxfIkr0v2E61FuTjpfxrqPWW1LUcZ1jE8u /hpEN2dHrE7+SYB7b6iiOPbv7593LvJg3zZtMt7DjyaH6m96YR0uctsFG/B+ G917NqWLBBRD7wdftEn0qHrPHwI6o5t1h3G9Nfk1l89hnZbGd4cd0NHJ1ek9 6ImQaLVyrC96o8UtA6ybGjJ0Uxxd0FUun4Lujd2vr4Bp7R2YU46p2FBtaYrj 6DruJU/Q6eN+NBlcRyXhvkYC2rGE9yIf1iG+hSZrgc5YGxO6H+usfeSdOs8d l7JbdhafQ06JZ5KKNvUcEx1H24TuU7NH14s/2auG938xDPYVQidfjNFMRRtQ xslMXMeVYfjPWpw/vD7Y/Dja51zPVDjajBhkbEPfYGQ/YqITl8wkrEQ/arHU NMQMqKls/oXXs8Qlz1PQP5WFGr+jad45cv1ok/MHbabRENAoJ43rfuvRShLF 6y6M8bv70COhrmw99D02O9UP3eV36WAg2nGTDS0UfUtBufIhWuN9154QdN7G Yi82OriFxvFFS4eE/SfA7X9yzsWDmNqdlxsluPfVjIyaYCobRKjIY37I9Mnf xn3ua1aVSpgKVr9T12Py+ireV8Wsdr8UtRKzQLZmrTrmideH+ZdiPvx3QF0N 01GKb80grmtflTuxEZ165uWeVvRc2zle7jzvSr59rUEfWwifk0Xru25+VoF+ mlMWy52X6kC/UoYuFFhmza33jtC2Z5VcNx8qXMTsL/Vz+YD5/tv+xO+YFhlm l+mYRsXs+mHMxrrN4dy8l5C0ZgBTblhPfgHTO8N2Hbcur1fVvXzcOg5onh1F 5/tnGHL3edkT4UzufPKXxVaJoFcU+2r+QM/qwzthtK1+0CJ3nro4gbfc+zdH 12rwcPvTHGUviGnWrpy0BHPK4V3mMm4/tszc4fal0uNbLXc97+Ho67yYOuay qtzrrTVln7kW3X23+g/Om/SyPZ7rBKdlNtx1AilHpbg+LOGY+RM9GrM6hjsu rW6awq3rf/7arB4= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.5, 0.4999999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.52, 0.5199999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.5249999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdQFdm2hzGLY3YwMaKMcRTDqINhkDZHRAXFOGYdzKKIWcw5B0bRUcyO EbNiOIqKEURAQUHCIedsDs9bdb7Vt9qa4vmce9+79eYv6qvVq1m/7t57rx3W MR8+yW5UfiMjI9siRkb/+Dt/9ocGZktCdcNuLNL9YuWptL868bFnn0DhUvmv vlxq4yPcz2xW2ZPnDgrjP6DT89BrbbzFH8Yfxh/Gv+CxV8F2ox6IP4w/jD+M f1/jYmOntA8Ufxh/GH8Yf4vLFRx/dggRfxh/GH8Y/3yTao4u6Phc/GH8Yfxh n9h8zwfpzyjJ6yudirOKUgZN8DA39r8nnJQ9JMnpt8fCtU6mt4vweS6Mf5+x 1X68fyta/GH8Ya7XtavtecI2Tq6HuR7m+h+qNGi4OThBroexb3rR9PiMocnC 7x/+XP+XxFRFv8Ny4a8TgnXhLrtLNByxVbHRde+VM9tPmOcH718xyKpJy8vC +I/vbBGbkBEh/jD+MP4wzxtuemzFwaIlNyoe73dk9lugFy4WvHdyq2KxyvKA 2r/VOfFU7DxvGDvX4+/seTjdfFO8cPiKkxMLf5ek2JhsbXXJ9dFn9s4jLqQm 7UtRqnmWvrPdw1uu5/nC2Lke/1NWuvEP66fL98bz4nuD0Q9zPc+D67XPh+8L 5vtBP4yd7wXm+0A/jJ3vBX0wdr6f4OurUgtcClXenB5cZmP1aGV7wXeb3FYF Kn6jx5ca+FOCcnVtiLPdBR+leeupa5WrScqcdWPn9h+yRlfRPGXhD30OCJ8L PbTf5Wi48qabo58u3k9ZHJhu6zszUSnXK6ZwxKg/lH5L39u4rUoTfejHf/2z vhuPuUcK87yIn+8Dxh/92GHsP652D2k786nO4vjhPhaTJyubjgXUWz3ssXCu XzHXx10eCR+PXLKv1ch7wtJ/Gdip+ouu/k29hR0fPNDfKnZGmPZR7Iddl9KH eMn3AaPP0mXDlVq2Z4UjQo9evOCkE/+Gb5KerrC/Lf4w19+sFjNg/72bwu6B mf0mht0V/5SGBZLXXPIXf5jrJy796NAszU94z46ldY2MAsTfW1860cH3sfjD XF/cZc0fMcuDhKf32Fznbplg8XfbYhZfNeKZ+MNcH1Vn+8Fj7k+FbfLvqbWx epi8L74H3g/M84d5/jD/D+Z7pL3z/xhfYcZLmPEPZjyDGZ9gxhu+L/4//QHM 9wXTP8D07/RHBfZusLxX5oqyp9KsEjU6par/3/C98b3TX8L0F7Tnym8SHiZk xEl779gp9FHVCHX8w79F9I3W3fcGKyPXjFrvcjRW+kvaF/2B1h87/w87/4/2 yPPwWaZLcbWJtUY/zPuDaX/tN46/HvsgUikdO7fw7azQz8ZfmxLlJi52jFfK X8xfwMcjQPrDgFsvqrgvu/vZ+JlTNd/GLi3SFKtiOqM9uiBdCffOsx59uv+H bYNtx1S7K1xcmWdZZdFJ4YfjFgxpNO24Ak98/PFerXe3hbMOltLNrx8k3GDU roppg8KEgz5EVB25LEz5OHpP5bDh0cqH+KJOT3wDFeul/kUjuiQotrYmTXqY 3FOmlk5R1rVLVuZcX3pjRutg61KLQ06ljV0p/KxP8tCpd3YLB4Vu8Fuw+bxw a5ejh36pd0V4s/3I6IDUW8L3PJz8W1+8I7wzTDfpVFF/4ZaLOo4eM/GRsPM6 3wmzKz8WLm3Ze2Tj+U+EO7cNHdfe4plwTMKw4W83hAqb5SaMKWEdIfzct1kj fa9I4df2b5sk19YLdzpofcLnmcoj6uc//dAzRvjk/A4NjoyIlfyhZFqM64JP 39++uQN01W6r+UTxSXUcWn2Ka9i5tNULolV/38LGjc+0iBc2HWBzbF2Kys0i S53c6p0ovKSJvYXztCTFvf+ZgKLtHku+kdDJdU3zBf5K3IPo1J981et3Xyzf aG63FOH04gOO9PuQIu1p/kmHLdOqJCuHvEc3axlzU/EJWVrO4p+u/2ZTlRPD gtKE+8cNrdtqWbqy67fMTr6eeyU/abp5dsGZVWKvkn9wvfRvBpb+zcDSvxlY +jcDS/9mYPo3WJu/8H1jp33C9Ed3CnXrUuVksPRP5AOWRSe6N2kQK9dr8xt3 u8B2YQPV50t7hsln+lp2Or7GYZ/Es9XyScOK54KUwrFTvZNC1PfbNyVlX0TU YWFbb8eoiMrhitl7ZZJ/owjxL1x2967cnHDlzH7j6CnuUfJ9jSk083D7T9/X Wt2sNWNSniilL04x63ghTpkzeV+nFt7nlKGrzRcuKpmmDE1b6r7m1wjp/+oM HrhsSb3jSrXBEU0ivdKUo4m3l1ZrfvKz/Ij+rvHc9Ek9/LbqtM+X/EiveJqM yBcs8a5fGjyuWYeQz94H48t8sxnelSqFip32AzMf4P8zH4AZ32HyMbne8L7g relOvY1T1Hz+5p5HPf2ePFWaVRu3aHH5WGXji5zX5qVvyHjXyHfAkjnPvZXr Nyd/7HtczcdLVp89+LBHusTH+GBb/HLSmOinuka3V3XW9fGw/rb4TB/TUiq7 1D9ZadTLIGHP+jmtTt9/LIw+7le2h8WGd6cfiT3ENnH88Qh/4SmRbeenr7sr nBR5586q5veFGa9gnhf3P1q9xSQz4xtit6x+utbCodeF0+53dP9h+Clh/QO7 esNPnxWmvUs+aXi/W0tvOHq/yGm1vXk4xBqHXZP+QfJHgz03dUTA9IM3hMcU nhK1/eM9uV7yRYN9l72rn/F9X+Fi53zS3DYEyPWSHxrs+wZ1j+3+Uu1Pwh2D UoZ8yiu4XvJBg31WqYHR5Y2fCp8x1SfVORumLG94vEB902fy/T9LWHqsX3CI sM0Us8O65EfCO+u9tE8+6C9cbWyV3ftm3BD2DvPLeZtxTfhmf9N1EzeeEyb/ gA+YtFtpvtJL2sfQRpH6Kdt0wuhhvCH+DS0vTertFiV84tq8qb+Mj1a6Fmoz I3mvr/j3vtup7D0T/8/uR3vB/20577TmVdXxq5L7kqw2ubHSHwXnXms+4R/9 0e2w47csQ5Uiz1rtL63EyP0Yr/AflXpnQpVDccKLpq52qjUvQR1PyJcN9oc+ D1Py/aj2v6k2mzKKFUmW62m/2Ft4PBkXd1Htn/vWcp+Uvi5VudYlZsbWLb7K lQGbwqNXJCkDprdztt76UPJz8vURrz6sfNkmSXF+aNVs+0IfZVr4Tx5D36j/ j/GP+++d+TzpXts0peez3ALbGv+uRBkfr1JoVLqS1DPOwaXAE3mf5J/w4NrH 3pQ5dF+YfBQmX5T+1JB/wyU7nzSb53xL7Izv8v+GJTgeTQwQJl+FIx1WZb7v cVVpss9ils+QVKVBuTmlj464IPNz8v+XU6KupMxJlf52YnuramW8UhSHWdca lBqkk/mBRxffyCp2W6S/OL+qZYvplecLl2/yzCT/iMfKppSwlzEL45XO4YV3 xVkEKGWWdu/VtESiMtl7TPYixxBlbGWvR8sTYyV/J176tw6BiY2Sel3Q8Txh nh9Me4Lxv1P1gb5ivfXiD+MP4w//eF5nW+utXsbTh1uWvQ0rGy88wbnHoU11 k4W/sa/Qp2vbdOHHW9PnGx3LFK6x3D449EK28NTp5+ufv5kr7D3adPFG/5fC ZRxcn00Iey08tEN0oy4Jb4VPNO20rEbOe+GP1Y88//jx42fri+RH6IHRA6MH Rg+MHhg9MHpg9MDogdEDowdGD4we8jn0wOiB0QOjB0YPjB4YPTB6YPTA6IHR A6NHuz5L/ok+GH0w+mD0weiD0QejD0YfjD4YfTD6YPTB6NOuL5M/oxdGL4xe GL0wemH0wuiF0QujF0YvjF4YvTB6YfTC6KU/RS+MXhi9MHph9MLohdELoxdG L4xeGL0wemH0wuiFGa/O9DZ/Uq1FhuiH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6Mf Rj+Mfhj9MPph9I+5vs9k09xM0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9 MPph9MPoN2tQp08h7yzRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0 w+gPdD+yeXrhHNEPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6F9e pGFQYtdc0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPot3Y+VW7Q uheiH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh/W3B77qmh752X4q 8z/0w6zXaPdDmV/xPGW9kfWYb6Jz+4dmCN+cPvqnB1WzhGfEJDpbj8wWbtBr whnPQznC0Vcysr9PzRXWxk++TPzkZ8THeIc//T9MfwjTP8C0F5jvh/3KEtnz Vxf1T1emedi7ewVEyH4G+yPspzA/Y/1u/oHq+/MViZXnD6PHbElyrwtmiWKH sV8ecfrDRMtUscPY6+++8rjswQyxw7Kfut7cIu1Ulthh7A9clyy8ezVH7DD2 ypMSQ/bdeyF2GPvYwd0bzn/ySuww9gvdTy4ZqH8jdhh70VYmYZZp78QOY+9r MbNx2TcfxA5j5/tgfYT2CzNfZf+K75v1CfoDmP0s5s+s1zUL3THGc9BRmX/C zP8nVwtrbN76tPDaaQsmmLXYo2N9kuth5q+sN2KHsfP/YfQy3+J7ZL8e5nmh 37OavmdBxxjRTz7M+gr7+ehPO/rC92T+FFnf4P/T/ugf6D9g9vvY7yce/j// j/vTnxJvnZ19eqYXj5P2Rf+K3WdOlff7aySJnf4W+8iBsX8MskoTO/0v9ny/ Oxwxrpspdvpj7D1Xe+WL/Slb7PTP2D1mm/W71iZX7PTX2NPGLjy+vftLsdN/ Y7ceEFdwev/XYqc/x766S9eBdqPeip3+HXtY8+Mn6zu9Fzv9PfZ6dcoWNZ77 Uey8D94v7x/mfTIfpD/j/TH+cf+VujV7m+dGyffG9wizHqddD/rv7u/+Vfu5 dSvWfPpLizTlpw0VLtbvqJf1qsBJEaNifokTdrI9WHb7tCThUvUn6XqtSRMO WWJqudguU90fmea6esjgbGGXkdH6lmNzhW/ad2pR3uWl8LftjqzLXPBaeHjj UnEP1rwVPmU+1erQtvfC+csEb1y0/+NX7w8HeIWa+7z21MEPWi9cF3TrgI7v hf2YL90vzWu/M6/9TO1+JfFZWZatsPd4hrA+4nRQ6aKZwhl7tjiYZKvsZtPs 20U2WcIHSlVyW9YsW9jmopd97nqVB8zZ8fj17Bxho1rWm359rHLpxKom46/l Cp/beD3gaaUXwuQjMP1huFemycN/2s+jPfB889rf1O5n1upQ+8PJkep6L/lN c5uKT99dTJH2pc1v2A+T/RtDviP77YZ8Bybfgcl3IlILrG23L+pP90u16+na 9eWv3R8lP+L5kQ/B5D8w+Q5MfgOTz8DkLzD5Ckx+ApOPwOQff9l+puF9Sj5h eB8ll4a1m7P0rPDO3vl+8++3Xff/fb+z/vNfY8w8o+X7XDR/diljuxjh+5ca bnh8O17YfEi7y7oxCcJj3F+2Wh2RLKxr9c0YlwUpwkVm6pLavkwXbrQ2caWb TYZwwJEb9+cUyRKeN7d7lFM/lb/fXvv7fuVyhP3Gn2zWfaTKk1eumtGk6gvh 7waZrK0zWeVrM9P9StZ7JTy+28yYAnNULjnGvmaS5Rthr5bPW0YsU3lwv/Oz b7V9J1ysbpsNXptUPtrJNMDD9oPwgEr747fsUrm30n3u2t7q+JPXfuJftX/H /JHvfekPWWeCR6nslhJoGdYzU65nfinjh9u0nC6H1f7Opn9fF9stWXI9808Z T/K/bnI5TfU38nl29trTbLme+amML5PmTG3QROVzjQfnNjbLleuZv2IfFPbx lMd0lcfuimq6f/gLyaf5nsmveN5zH9xv+eZSrDD5MWx6ZFO8Z2CiMPkxfHHF wM2/JqcKkx/Ddc9sqLYun5rPkB/Ds/bmuowtoeY35MfwvY39fTtUUvMd8mO4 4sIr1c1rqvkP+THs6GQ+610jNR8iP4bPDV3iH2yl5kfkx3L+pmdirdOd1XyJ /BjOaz9Te94mdvfp4XYtI9X2qdnv1O7H8j4jXXu+HFNcXR8n3+V9wbwfmPcB 8/xhnjfM84V5njDPD+Z5wTwfmPwPJn7yGeKHiR8mfpj4YeKHiR8mfpj4YeKH iR8mfph8n/Nt5J8w8weYfBfGn/Nw+MP4w/jD+HN+Dn8Yfxh/GH/O2+EP4w/j D+PP+Tz8Yfxh/GH8Oc+HP4w/jD/MeK89zwsz34OZ78H4M9/DH8Yfxh/Gn/wa fxh/GH8Yf+aT+MP4w/jD+DP/xB/GH8Yfxp98H38Yfxh/GH/mA/jD+MP4w/gz X8Afxh/meuYTXA8z/5H1LgNzHlXqdQws9TgaO+fZZD3aYJf1JwPzPUr9EuuB Bn/ux3k37DB2zrdhh7Fzng07jJ3za9hh7Nr6FamvMuiD0QejT1tvRb5E/k4+ xPsh3yEe+ntY239qn7+2P8Uu632a5831+NM/Yoex0/9hh7HTv2GHsdN/YYex 0z9h19b/8TzRB6MPZv2f87KsZ1JvAVPvxP/netbLqOeBqc+BqbeBqZ9hvsd6 DCz1Tob3L/VOBsbO94Idxk78rF+jF33sZ8CsD8Pk9zDrjTDriTDr0VJPZZjv 01/AfJ/M/7HD2FkPwA5jZ30AO4yd9QKZfxsYO+sH2GHsrCdgh7GzvoAdxs56 A3YYO+sP2GHsrEdgh7HzPVEfBlPvBVO/xfvW1k/J/pFh/sL6Msz6L98D/rx/ mPcPS32cYf1E6uM472q4P/sHMPs5+LMeib+cbzVcz/4cTD2j1L8a5qtSv6mp D2M9HGb9HH/Wd/CX86+G67X7Kdr9JdZD8Zf1UcP17CfKeVPDfiT9Af0/LOc3 DPVz3YyNY83LZUs9Gkx/qK23pH+gvWOnv4Rp7zD9p/Z+Uv9hYPIvmHwKlnoO A2vzI/RSD5hp1+lWwuQseZ7kN9QDRjXMP7rVSnW81I6f5DfU47ntWLL/hF+m +PO9kw/hT/2hVdyNJS4Wav5Ee+F5a/2x8/+wW/3RJdTp+3AZr3k/rJ/x/GGe N0y+ADO/k/W3y77J2/ZEyXjNfA878z2Y+R7MfA9mvgcz34OZ78HM92DmezDz PZj5Hmy22O5c8V56ySee1P/+9JGteskf/O3KPn09Uy/5wrfXp7fMzI6S/MCj TB2/b4tEfTZ/YT2X9mc0vulEo1lq/hw1ZJxT27P/lB83+G7csydqvlXTJ6h1 vZhspcbPb+vtaq5Xvu9V+IcnQ64pB0eUr+zqpleajTtk/GrcfaWLyWrXVQv1 yuFR3/QoeSJAqX7bZODYSnplR0XTKTutg//t9Yem1R2dytSIVFwqDe8QPG+f rsvbuDYelaIU7+0jfm/43Zavrjcsd/j+7yvCohTP+Qv9pt45+79efxg45eWz 0Wc/jVt+Qe+9EtX6kj+rR+zrfOrG3pWRytLaBef97Kza/6w+kfbH97SjabD3 irGRkk/mVb/4tfWIedUb5lVPaNtudyWTA2elf2tw2fT2qnoPpL8NT58XtXhu sM7r6bvTumGf5hfjf6+gu/ZEZ1Xnw+GFXbIV75A7xmfWB8v8o61T+JbGa9T5 xr+6HpF8P+DYeJ86AV9fn6itP8yr3nDl+KVXv7e5IeMJ49Fd147NO5pmKvat zGs+bBalOO55/f0wo51KbvR3Oe8WRCmnjk/bUer+4c/qFTuWzX+l04sLunk7 78w6+zZDsXweH2c20vdTp97b0uWnLKVftcbLNzlGKKwna+sXK/SYkdZc2a3r XGS6db3+GUrWoLll3IJv6iYeGTh0inumUvbE4NHdSwTqfo1ccbClb5ayzXWn hU1dvdxv9sc5lWteixLOq/4wtVrbGVE1ohRt/Sn5wKznDvHhhfUyPz+xcMqA K5/a0cKXR7eMnX5VWd/FrceBT+Mi8/MtJd6szliuVy47+M2eNfGOktToReR3 n/pT5ucdHYPCD2381J/O3fbhrdUjZeUbj326dnqZn7dYPChzWi29cshrRIP7 QU+UyQfc3NeujJL5edVGdvHtJ0QprY8k9a83O1QpP2H6uB9KRynvSqeu6648 /8vrH7X1nF1r+UzYeyFCzf9f9E7fNSxcsSvyvNGKgHO6ym4mo+1/jFBeHdwy qqPnSd3FQz5+tYdEKikdC/hdtd+u43tmfNTW/xayy/itwvmj8v7Me4ZMO/Dt gc++F+pfiZ/7rdzzTVr9MZfU6/dWcB3tdVX4zVrTbR6rbwsvXLulZ8GYW8r/ tD6R58X/v9qt5mGncn5yP0ubI1klLj8UvrC4yoEruYHC8xY/WzDJXGWeN/f7 bsSeBrVaBIvdYUSsnXOJEOGcNsc+1q0ZJuzVZmxoWM9QYean3O9uWuRkowfR Yo+fmH9RbcsY4WaDRz/N3zZOuFJ4+9uhwbHCU5PdJ9/y/9Qv+VnWXLPtjOx3 c/9ffQ9VOR8dL9cv6X6vYXj3BOHHVg2WXuyfJHz+cnHnjemJwsyHuV+ho5Pv TXibLPbqFhvDNo9KUeMxfdF4slOacJ/tQdW6FFGZ+TP3s+uw4+eNxhliH1ro 2M391ioXfR8+aVP7TPV7sfKLcy2lMvNt7ufR1GjjBJMssXvmlDZd0FXlfilt fSb2zBbubNG41UBTlZmfc7+M6iMTOpvniN0oxtlpkIPKh0IPfNd1UK7wVlO3 TZa1VWY+z/2sy92xrlH/hdhtA0NuNxuu8ot7xabWdHwpHFfsTWKZJioz/+d+ a/NbbPnY/JXYd3pbmZWbqHJHr4l3jZxfq9//m19ap1qrzHoB9wvLXJf8rP0b saec9HBOm6ny5j8Cqoa5vhVenHjd7U5XlVlf4H4WUdltzvV8J3ar3QXv312i csxWS5fzq94LB4XUTN3roDLrEdxvjn/frRsGfRD7yvWO5vs3qNx4ufuDjb99 FK5xZ0U71+Eqf2n9cuCe9R1KDdcr9Q9tdyxw5YZStY/TpZIz9Mquo8FzfUr6 fHF9c5Eh/fr0cdcr5lvGd7fo46v8dnt87spP849IkwGOY9r4f3H989Rh16cE TtArgwPWrp2fHajULf9N4V599cpwv/LZo/M//uL66Oqr8w+IvvdpvO72m2er 0U//39VL5/X7B9rfO/jS+ur/a/XTedU/l9ppP6PAqBG6HQ/3hIwsnCH5TAeP +N+9hmQrxXbV9zVt91hXtGXshJAK2bIeLOd7/o/XS9f6ttbTfB+2yHoP9w9f 0/ZJz1oZSkqvK+5Vn/vrxoftCbiyIEu5emx5h18vBsj6GOtHzhaJd9esz5L8 7uqpa93CO3+a75wOaG83zF/Wl4znLYmvkD9KSZvrXMnW9bkyeJh35V2XPXUj dmy3/XA4Q2lbrFBUi4p3dcWv/h4wIiFTsS7yblSLvdd01i/GbF3TTa3HYn0H vTD6YOaT2vUg5lP4w/jD+GvrpbXrPzDrPzDrPzDrPzDrPzDrPzDrPzDrPzDr PzDrPzDrPzDxM18kfpj4YeKHiR8mfpj4YeKHiR8mfpj4YeKHiZ/5LfHDxA8T P0z8MPHDxA8TP0z8MPHDxA8TP0z8zMeJHyZ+mPhh4oeJHyZ+mPhh4oeJHyZ+ mPhh4mf9gPhh4oeJHyZ+mPhh4oeJHyZ+mPhh4oeJHyZ+1juIHyZ+mPhh4oeJ HyZ+mPhh4oeJHyZ+mPi1v8eqPV9Af4wdZn2V88qMPzD+MP4w/pxvxh/GH8Yf xp/z3/jD+MP4w8zPtfubzM+Z78HM12DmW7KeYpgvwcx3YOYrMPMNmPkCTL4P k6/DvD/tfr/8HqxBD4weGD0wemQ91KAHRg+MHhg9MHpg9MDogdGjPU/B+ibv EyYfkPMUhvwJ5nvQ1jcyXsPa8ZfnSfuFab8w7Rem/cK0X5j2C9N+YdovTPuF ab8w8fK8iBcmXph4YeKFiRcmXph4YeKFiRcmXu3vD7N+zfulv+F90r+w/83v 17Lfx34e+3Pkf+SX2Nn/Y7+QfJL9Ve7PeQeY8yLEK+eZDffn/3G9tH+Dnf9H +2N9jfcFY2e+jB3GzvwXO4yd+Sx2GDvzU+ww8fN7rqzH0R+Sn8LMP6ifZD0S Oyz1k4b1QqmfNLC2XhEOOZ75uly+GHkf1Btq3w+/x+uy5uKBexUTxE79Ifzt +AX2CxqlCFN/CPffX8PouxoZwtQfwoc2L3d42TBLmPpD+NWilKMBP+cIU38I d5zas8DxTi+EqT+E3Yaf6b/C/pUw9YdwTK+KniOHvBGm/hBu2mZO4dbj3glT fwgvahQ5yHT6B2HqD7XPk9/35fmzH8DzhXmeMM8P5nnBPB+Y5wGjH0YvjD4Y PTB6tOcZaK/0L/T/tGepNzBcT38AH9DdKzjwbLb4U2+Av9QfGK43clldY3Nf lQda2Lb3fZ0j/tQf4C/1CPwet77UyMI7VC697dEixVqtRyBfof1p643pr3if PA/aO0x7ghkv5PeMDe0HZvyAaT8w4wlM+4EZX2DaD8x4A9N+YMYfmPYDMx7B tB+Y8Qmm/cCMVzDtB2b80n5fjFeMJ4xXjF/a8Ujq+wws9X0GJp+V39s2nIch n+F7g/Hn/ArfK/0983HaM/0ldua72Dl/hp35JHbOo2Fnvoad82nYmQ9hp3/h +aCH/AxGD+2J69HL88aurWf++3zOv/d8zv/2eZz/9PrxvOrB8zr/oz2/oz0/ oz0fM9fs8NH42pFK/MU9xzOnRiraevOvrffWnkfJq/77S8+r/NX14vQfjKfa /Xrt+RjG29Y7z/TuFfD8s/M42nrJvM6bfG09eF7nVfI6n5LX+YM/O79CvefX nlfRrtdr60P/7LwK9aT/cedVNL8/8J9WT/+l9fBfe37mrz7v8vf5lb/Pr/x9 fuXv8yt/dn4lr/MoeZ0vyeu8iPb8h/b88d+/n/Hv/f0Mxiv5PcQv/D2KvM5r /Kt/r0J7HqT9LsuH+S6r60Ha3wv6+/cs/trfs/irz69oz6toz4drf39Fe55F fv/qyECvxblTddrzLf8FC4GeeQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdl1dwl0UUxXcpBikh1EQQQgihhgABhaiAkQ6CGAnFGhAwShUVUVDAFmwE X+x1HHvvfcb+aO9i17E9WBnL2M6Z+8vA+PCbvd/+99ty7tn7JWVL1tStbpVS 2ien1FrtkWK8GCSOFhPEYHGRuEzsK0aIKlEi9hJ6NXmOxaJBtBHHiYliqOjA uALwWK+1TCwV7USh2Fu0F51p/V5P0UV0FavESlHEcyfe89i2rFHMb93EiaJR dBQni7WiuzhYDGPuWlHJe42s7XVHWhPRR+wQzWKBKKOvrxhF3A99RotqMQT9 rMvFokmUivPEOFEh9uO9cjGAuAztB6NRJ87SBW0K6cuctS3jCnhuILa228Wl op4cDqV/Kecr4P32/9O9kLk60FeIll2ZYyL5reOsvfmteI9cue0hjhGL0ONU MRzd16N7FTkpZo169LTup5GnSs6xAM2bWbeUsWVoNxYdW54HoO0l5GCMmCeO SOHfGvJQTn7KmP988nQgOg9C41bkpTUMRYeenKkH56jco284/SWc1b9vEKez h8nsy2eZmsIT3s+UFN7yOQ5jrOeYxTs+/6QUHrUGB3Aen3m62J+zee/j2fuh Yho6zUzhw4G8U8O6K8mDfbCNsdZlBnp4ztk816DHBPSYyz4GsH4547eKLeTS cxcyfw3zVKBNLfr4zq5Iccd9vkNS+OFw9u09j0aLajSbglaj0MWa2P/zRS/a +rT7PteT683oW4I2c9n/JnFSirpRjebOkb0/J0XeZ7Kngzj3bM7kGulaUMfc 88jfOHJTga7TWGthCm97n2eKJczvvB2Fxu5bTP9GsTxFzfS9WkSeG9GuiJwc m8KjDbzbjvcbyJfvhO9Gf34/njF92Y/P6xqwFB12sNfe5HcqOe7M2kWMXcZ4 tycQL+e5HXhcAb81ss5C1ljAXCvTbh9eiGZnidX87nbVHmMdt9T2LSnun/vW 0H+2WEdsXHfsx2Jie8DfiFOInTPf0yrmOJv35pAna2m/nJEi/+eKc1L4eB1z dUfXjZx7BWcoQptNaOA1N7Ou69MG1l/LPO53PdzK+WpZy7XG99L1qoLW9avl jtiH/l43kW/nehzjBpLjJnJex/hqNG9ifBPPZeRhG/3d0N1nbCZ3vcmf63Uv 2u3E69Go5Xvrc7hO1jPOe5jPePeNYc+lzNlMXE3steyhBrS9VXxAfm53Xw7t q9U+T45GKH4WDV52m+P+Vqp9OoWvPxaPo98A9T+Soq78JH5mX3eKDjlyeL81 yJHDIWqfTFGTBil+jHlmKX47xZ0vVfxQitp2jajJ4dcfxMQcGsxQe4vaC8T0 HM+Ob7BuOfR8yftl/z7HrhTxVV4/R229zjrl8PHdojCHB0erHZPDuy+IX/DR ePX1yVEn7xVdcni/b479eW/lin9McV/fFzen+LZMUP9XKfz7oPiW+Hrm9Zxj 1b6bonb2U/xKivo+UvE7KerjUMWvp6jpr4r3GPOG+ATvVWjMaylq/XDFb6Wo R5MVf5rC21+K71L4+gvxeYp6vQvtrNU0jZ+U4858wzt16PErmljjFxn/vdiZ 4k55natZ6zPxEf03Mc7xh+KBFN8B7/0K9r+TdzzmSvxhb/ib4xreEa+9id/+ En+n+B48msKX9mQ3tfelqDdFiu9JURcvF4NzfLcexnP2Wye1d7FOe8V3pKjN /4p/Uvy9/0QKr3vdp1J42n4uUHtbim/RMynujO9LK//fkON743tj39vz11q/ HHXquRR3z/fOea7KketeOf7vcG2wp2pz+OpG5zzHHbff++N5e2dUDv84b1PI XYna4hw18k/xR4r/Y34Tv6f4Rtojw3L4pK3aNjn+R7HXBubwm3M+NUfee6rt kePvVu/l6xT7se/KcnjvP6z/BYY= "]], Polygon[CompressedData[" 1:eJwtlGWIkEEQhnft7rozMDCw8DzzPBU77mwRW1RUVPSw+ywUBP/Y3d2t2Ikd oAgG+kMxUX/a9bzM/HiYmd39dvebeWcrDMnoPjZLCGEAZIN8MYT92NEwEh5B OmOLsfWgCv5JbBK0gYrElaA3fiKshdfQTWvhMVyErtAOXsF1SPU1J6Ay37fy PV/AS0iGMnADdkJnaA5XYDt0ghSowbdnsfWhLRyD8oy1xNaBd/AeukNpeAIb ISHYmnvwHLrAbOWAb5f7WYOgIPFBbAaMgbLE5aCX76G7rIEOfqetsBJaQ5rO ZO0XbG2YAttgteciHf7CMmgG/eEHLIWm0BduQk72GIKdDrchP/Eo7Ezti38e 2wDaw1s4Cj2gJ3zUvVizxHNwxNf09H8+A9Wj1VI5fKO8E0/1PYrgH8ZOgHFw C/IwNhw7A+5CUeLx2Ey4A4WIx2JnwSnPSZrXNIm5y9hG0NG19VA6CqaxQPwN 0yeYJhsTf1KdYQ6UJE6BufiToEC0M3WWNKu5db5Wa4pFq/Fs/4fC0e6c6TXV v27w2uifz0GtaFpSTi9JR9Fyqzsn4KfCfPzJwfz12HnBxvJGq5FqMwJyRcuZ cjU0mLbaM7bQNdYR/wK2ISzyWm0Jpn3VrC1xO1iA3wQOBNOktKgct8FvHa3X tOaa9oqWW/XYM9eQtKMeUi8mMz8tWE/Ww68brZc0dl9ajFZ79UcF/OPBekk9 esg1IS2o5vuCvRl6K6RJ1aoE8USv2Qd44HtpT/VCYrTcqSc+Q6lotawJX+Fn MO1XhRbMbQ7Wu3pjvvuaqq6R3Mzv9VwPU06JNwV7i9Sjv+BfsN6qJnkxnz1a b1fXGP7pYG+bevaPf6O1/aA+81c99+rxrNH20LcDYRfkIB4crEd3BHuzVFvV eI/fUXdTzxTHXyGNBcuRav802FsgDaj3f/vZTX3v3a4dnbHKNSOtqGf0dmSJ dhe9IU2i5VS5lCb/A13entI= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe8V8URxd/uFaQpYg3FqBANMQQFE2KJKSbRkER699FBOiiCAoIgKop0 BJUaQLqIICpFSTCA9CKCFEFApAjSpAkIZL6Zcz+XP+bN/W2ZPTO7s2fufbc1 6VCtfczJyfmr/UlM1zFd16ReyMn5o+nKpqubPGTPVUzXMHnQnn9nUtWe25rO Z1KLcaarmdxqUtOkhklJk9r0m/zMpKONa2bSPPg6rHeHSX2TXJM7TV62vi4m XU2a2u8mJnebPAYuk9ImzU2amZQ3qWDS1MY+YdLKnluaVDRpYfK4ya9NGpo0 MClj8pTWf9zkBZNOJp1NnjZpiQ2TZ6RbCwu6jTCh25p0k25n8qx0e5P8tkYH 0z1km3VaaI0WWqOXyZPB4/G8NLh6SzPvueB28OvFyzC+JA3GPtJg7Kmx2G1s GBqZlDW5wuSEtZ00eUU+gP3R6Bj7mwwQXtYcKI29QdLgHSwN3iHS4B0qTSzH aj7zXlMb2IcLN3j7an1i9qYw0TZMYxl3n2HrZ3qkyejLMI6RZo1RwcfQ9y+t CcZx0mB8V5jof0uYWGeSML1uMkE+0FfI1h1heprJFJM3hLGytVcyKWgyWfPo myh72BqvNbE1Pbgd8L8jH8A+UxpMs4QLvG9rLD7NVhv25ggf2GeoH1vvqX+C sBBX8uZ9jQXXQZOtJttM5gbHjU9Xmw9TTc8zmR/8GX8XSIP9I2lwfSzN+gul 8WmZyYeyXTi6veUmixR3/PtEGp/+Kw32f8sG8VgiP8G+VPoDk0+lWeM/Govd xbLBnBWX+bFZc8C1Sv7gx2pp/FgjjR9rpcGyTpp11kvjx2fS+PGlyUrZXqk1 WWOjMOHHJmn8+EIaTBtkgxhcEz1OW7Q/y+XHNmlsf66x2N2uNfFjhzR+fCWN H7uFG7w71YZP+4QJLLvUxri9wk3fHuFjza9lg9/fqI1x+2WDGB/V2qzz7WV+ sE/kFeesSPT2AyaH5BvxOyx/8OOINLa+Uz99x2QbvMel8e97aTCeFG4wnpLG p9PS+H1GGuzXRsfyg8lZ4QL7OWly5YRsY/e82sB+QfjAnhPdfzBeVBt+XJKm L0TvB/uPssF8zvJExSiJ7g9rxuhj+d06On9wF3O/kNPcj9zpcFwz2cAWeQIP w8lwM3xdzXSl4HwLr8I91cTDKe/CL/BNW3E1dhnXSX1wPZwP99cTJ8NZTcS3 cF4z8SqcV0ecDLf9VnzcQVg7CnuuuLeV/KANruoq//Az5cgUB5wCx6QcDM+l vMu8lKfhQtaDs4hbAcWwe/C7kDhxV6Q83U3rwDXwU8rrXYSpp2x1Un/vkPEu c1rqd2f50UtzusiPPiHj9V4h42nmNxAn41Mj1TVthKmvYoEPcFz/kPHuIAl8 MVa44KuUe9Fwz0D1jwkZTw9WG3fnzJBx/ICQcfxAYYRLhoeMa0fL52Fa7/7o 3DxC+OgfJd+Ga1w/tY0MGR+DG77i3p6tedz/MzSPnOBcXxWdg6dqPfYv5bjJ GgcPP6r6oIbqSs41+TJF44Zq3nhhmihbQ9Q2LmR8/I7wzVKMwA3fTde42erD 3hz5QL6St0GxYOw0+T1D8/NEv6dOCTf3I3nLfcc9cSRkvDs/ZFwLV01V2zxh hI9SzkQvVD9csSJk3JzOhyNWhYzLF8i3RbKFH/DU4pBx7VKNS/kt5e9FwsE6 y0PG5Z/Ip2Wa/57s0Qf/7JSvzIEftoSMa9eGjF/Xh4yP18gGnJNyIBo+ujL6 /X5Ga2/QfLDCHdtCxt/rQsbHG0PGr1vl33bNSWuC1SHj7E0h49cd8m2z+lIO Zn5aryzRervkM5jgkd3CDjftEY69+s0a+/Qbu/v1mxjBRweE9aB+g/2Qfqc8 d0o+fKe+lFPhJHJgrvYn5dFjwn1Yc1JOPS58nNUTIePUk/LjhMalnHpa+OBR +PRm25fr9R4IDjjvvNaBIy8IN23nhIO8SbkUfUn7uUdrppx6UVgvyG7K2WeF CR4lD8GbN3rOndZZ4Tcvt+2iv9/iB+9CzPmpyQ3iiZ3CdFQ+59E7U17ZPa0z tVuxvMXab9Q9Ncvk3egx+En02ppcKRH9LiOP8yk+vCPvM/2RSTmT66LXJcSw WPS6kP0vGr2eJm+KR6+liHd+YYbrHtGa+bTmTVoLTiwjfikknNxP2C4qm6xZ XDaZV0JzWaeYMBSWP/hSQPFi/dtUM+AL/F5Sd2919dUOzu+3qt4opdqDdr4D 3G5SN7jm3q4T/FtBKT0Ts1sU25+rhmH8r1Q/5Ab/DvALk8eCa2oPvlfU1Rye qSVKq26htrkjZu/ed6oO+WX0Z+zAaRXFKXwrYL36weNYVhyNwNfUILxf32XS wJ5/E70WahR8X+9WO98o7lE7mtqpYfBvGuX0jC3aqU0Q7PANYYQwwUVVdH4r aM2ywsb3DdZubM/3Rq+9OBuckXv1XFV+YauKxjSx9geic/kIjeH51eDn5QG1 /yV6fVkzuH5Qz7/XM99/0H9QO/UiNSj155+iP1dXG7+pTavKFvUqQq1ZWfrP Gl9B/jbVWHBQ4z6sdvCT1w/r/DPvIY3hLHKu2HN8/ZvGM/YRje+gNaj1/q74 4DvfjvhdUOtU0VzOBPVGf9msor3A73/Kd+q6htoX6hO+F1B/tole0zOf71KV dMZYs6rWBW8NnX9yhXqdfLlfY+5Tf02NYXwt+UjOkXvkW0mNIwbV1F5buQM2 8qeNMHRXjjKumXKBb3DkA7lCTd9CucI7ADnCmuRwXeUWY8g1cq6u5t2uMWAs JcwldWYbKD5l9Nxa+Us+lxY+3hNyla+1tFY9jQFDrnDmCgN9aU7T10p7Rcx7 KF+ps8nHV0wv0b6RZ7zDNNIY3m3S95rmamdeY80trzEN9cw48vUujSmr/qYa c4/slNe+t9K54nskedtYuc7v9jqHrXQWywpzG52llppbUc/9dOe0kB/ltC5+ 5Jfv7G9r7TfPnGd4ML2beffjDm+nZ9rbagw5Uiyxmjg6b5E75Ftqo73GfGEy J/oZ3Gbygfb/G5MF0WNTSRjYk10m86Kfte0mH0Y/O1+ZzI1+Fjjz/4ieF/U1 lr3+2vT86Gd5i8n7Ol8HTD6OHm/enfhWx3tAccM/PvpdeI0979HZ62X62sT3 tJDpnTpX2C6cuP2emsP4q03vFgawX5U4puei99H+mT0/Gf3+wY+CifvSI/oa 2Cc2VyYen7ymt0bP5cGmj8vncdFxg3mISdHE+RC8e3UO15veEP1OJMZFEo9z d5MCiefjs+xP4rmD/jL6M/07oo8h9vkTj/9Y7Td7/bLix/vWD/b79ei1w9Mm fbQvJWzsxOhccbM9T45eR6wwWRr9rl9rsjL63bwxOm4w9zc5HP1e7mjyefT7 86DphdHP9QmTSbI5w2RA9BrkJlurk56fMFkenS++Nz00eh103uTN6LXMKZNh 0WuZVZrDeHCtFjZi/Ez0OF80GRm9PmI/12hPnzL9YnQuGGM6JH7vLyZe0fnw rehxISbPm1yf+D0wSTHCl6MmA6Pn8gD5gy+nTaZEr7fOmkyNXqtdMpkevVYj z5LEc62LSUw8f8H1qrCxP4O0R6PkD76MNuGfO9Sbb0TfV/Z0uGJEfGZqP9gL 8v7t6OcBvBOEuavJFYlzymvR407MRyjuRYRrU3RsR0wfi363/WgyLXp9eaON +Tb6Hdtbv3mm/5zGEI+TignxOKOYENf90WNLHX1d4vcfd8ANid8D1LLUj/// lm36gmLInZEn8Xujs8lL0e9Gzt0hnb1PTdZFr1VeMN03+l3dLXrekrOc8WXR zznx2Bw9Jv8DBg+Dgw== "]], Polygon[CompressedData[" 1:eJwtk/lryHEYx797RmKxMcdc05IkLUkiQpoQapn7nv0B9oNjw9yJTLkZotnk F8fGH4AhR45y3zdzX21ZRLzePc8Pr96f5/t8P8/n8xyfnKLiggWWJEkeNIPU 1CRZyodpKUmSg5bAKegBreESXIQC/CPDVw0d45/LcMXcN4l/0oi3gvUs1n3Q c7ARRsAwqIIs/slH02ARnIRsaAXN8S1Dp7O/J/oJ1sF87IHoYaiDoXGHTP5f g87D3193xl6Jzsbui66HYxG7jG/p+FexnsM6Fz0Cx6EbdIKW+MvQmfh7ox2w 16KF2APQa3A1cs1D2+Jfjc7F7ocegjMwWHuhBf7l6Az8vdBbcBMmY49Cy6EW usMYeAxPzM/WnufoC/NcVNOH6CPzWKrRXfSeee+mYt9G75jHnoL9FH1m3gvl 9BJ9ZZ67anQffWBea83AO/S9ea6q6Xf0W/RqHKSQz4mIPQHdDb+gM2TATvip HkM6bIeGqG0b+AFLYBP7x6NnYav5eghcgAPmsTUz++AfdIV2UAF/oItqDxti xjRbw+ELLIQi4o9F30K9+WyoR+rNaRgUPfoLeyOWzvgNeyIXnZGQ7/44OxOa YFfkppyPQmnUvr3ygs8wOu7QiO6I3LPi7M3md9MdauCg+V7NgN5CZcxOdsQq j9lQzA/w0fwtaCb1lhabz7be1HW4YT6bmjHN9jbzt6wZL4bzUauJ+LegX6O3 6kld9ES90Bt7DW/MZ1tv5j/+2nik "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdWHmYl2MUnea9v8ee9bGLTHuSpKi0adFqSTQRpjHtVKgohRbZskTUtNin ZN+JJClrtqFCFKWFUGlT2c5xzjy/efxx5rzf973v/e533/Pee39TuXBQl4G5 OTk5Cyrk5CTwN/hTAPQAHgP+Ac4DBgGVgFrAC8CxQG3gJeA44ATgFaAyUAd4 DTgeOBF4GpgAXAU8C9wBDAHmAVWBesB8oBpwMrAAqA7UBxYCNYBTgHeBmkAD 4EngNuBK4HUgD6gLzAWqACcBzwPDgKHACKAZcAbQBGgInAqcbj4NaGpuBFwL NPaa5h5zXQsz17UHWgNtgKttk/NalVvX2tzC88gtgZH2pS1wpsdc187c2vNO t1/Xe24HoGO5dZ3MXJcT2i/uW2ffo4/FwI1eOxUYbRvTgDG2kYu1FYCZGI8D xtrGn8Bi4HHgUuBC4CIgP0kXXYEvgFLg/CTddPPzhd5D7uUyYCnQ3c+7eH2B 7XHd8iT9XQxcBlzid64EVgA9gT5AoZ/3NRcBq4FVQC9gANDbc/8Cdnpuke3x nduAtZ5LDVPL1DS1TY1T69QzdU19U5PUJjVKvVHX1Dc1TK1Rc9QwtUxNU4fU Y56/7wJ/NzVMLVPT2+3H+KTzwTNBLfJ8ULPUIvU7OEmT1Be11zhltdskZbXL 6+uSdEbtUFPURtuU1W5zz2vp6+Eecz0128rryrTbKmW1y+trPLeR/Whebl07 v++zJG1RQ6OSNNjGflB3HVJWux29rrOvb/CYaz5K0u5ox49xvNB+tPc6ap1a OitJ+9QvdUUtU7Nd/bybbfBZvq9LPeacT5POxhg/6+H3LfU43++mfqjLMv31 8byC/z0r9HWRr1d4zHmrUlaPhbbR26Ae+wMzgFu9938n6fimJM1e4TlPALck 5WbmQubXhl7He9TxTtvkO25PypcNDc6nju5Kyl/cT2ppqPeXPMzjO733HD8E 3O3riUm5spnvUU9NbXeI7T0M3ONnZGqUmrs3KS9Tb48Ak/zs/iQdcI/vS8qV 1M6jfkZNTU7KiR28jvfaOE6M1+VJ2hrtOdQU9UiN7XAsuQeLkvIUz+SupLPI eK0HbnasR9pX+vlAUn7sbF8n+b2DvBeVHMvbHeNrHBfGZFaSPs/2d0903Mri 0tJ7MsHxu9L7SjuDvQeN/N33OSZT7BP9+RmYnrJnptjf/ivwS8rqe6pjU8Pf Xt3xnmI7xbbDmrER+C1lz/M0x5DPH/SckqRzyDPYxWOeM9ajEn8vdTTD3zHK +8j9pUaY76gT6ohabOz1jFVXx+CpcrF5pty655J0ylz9alK+fjMp/zIvs37N Bs5NytfsSyrbLvMDa9aLSXm/tm3QVh3f47NaXsP7rAWsFy97PuvCO0m1oax+ UAOsBW8n1YNqvq7qe/M9/42kWlLXzGvWlSr2P8++089zHOvJ3tM8ryn7pjn2 ea6/v67fN8/2WN9n2c4cr+G7mItYO/tZBwvsL9e95Ri+5et6/lbOqW8bdRwb 6miR7zOXUnPU2XtJNa+Bmdc8azwT76es9j9I2fP0YZJG+N2LvUfsMZYk9Q8f +/655k88hyj13pZ6Deezf/ghqTf40vc5d5OvOd5gu7TJ8/15kt65njWA+f93 4Nuk/uSrpJ6Gzzf7urvvfe05BPsZ1o8Cj3ual3vcw/YvNi/zmM+/8xxihW0U edzLvNLj7z3m3C2+7ml/l9tmvuNCP2t6P2p4/Srb3gr86HvUxZokbTAnsvaw 7qzzeKCZ18yTP3k80L5vsQ+8t95zqAnmIuYn5hLmljHew03eix32p5/3fLN9 /tp7wG9hb8B8V+y93Wqf6c82+7A7Kadfbnu0y5z/h8f9zLwuqwesl30cg9W2 SXvbbXOX59DmeD8b4Hu7PKYmmXeopdkeU8vsizb6uzn/L9u5yeO+trHbtjs5 NszVZXmHOeZlj5nrTsO5/jFUEw4Hrwvl1kbg4aG8vh28LXQu/wDvCPlSFbwx 5OcWcNPQGbgU3C/kWxG4IORjb/A+GeXxXhgflZGfuzFuGTpLXHe01waenxnS 4h4Ytw/F9RzaC/Upm8GbQvvZH3xMKM57Y/5ZIU3Rxyvs5/Xg38I5HXxbqNau Aq8O5Y4jaCejenZERnb/0yR4RSjXDAQ3DuXUTqHv4beMBO+bUd0agvFxof7l b3Cr0Dlnn8naxrp2OOYemZE+uuDePaEadh54WajGH4rnfUN62xPjwzI6V01C ftxofbBnZX6+Fnx8qN8ZBq4c6o8qYF2b0JkeBx4b6gFn2if68xT73lAdex78 dCjfUyOnWicrwQ1Cfc034PqhfuRh8IxQzWsHzmR0tqijEdZSW3BuRuf76Iy+ n9/+Uyh2JfaH38I8XB18UEZnvsRxY3/AWpTr35u/hvaVe9ohFCPGpzvGg0N9 xgbwKNewPPB+GX1vM4y3hvLHkeD1oT5kFuMXOit3g08M9WUdQ5qmnm8GnxDq s6iXbiHNtObv6FC+qQE+JKM8xT08yvvYAtw8VCu+5HkK1bZXwC+EavkScL1Q X3MI+ItQHTwD/Gcot30IfjdUVxeB3w71CJ/yTIRq6hvcz1Bdnw+eG6rJF4DX hnoCxjvX+ulKjYR61lrgMaH+lDbm2M5d4DtD/5u5LnRm+O305X37w9iMd3zO B/8Q6jtvBd8S+h/M96H38V3VwJeFesMXuUehHqMi9yHUk0wA3xHq59aE7NJm ndB+8F3F4Kmh3m4y+P7Q/42o5Wet5/3Br4f6E8a+1PH/HHxwqMc4ObQHjP8p Ia1T54zrx47tYuoz1LfQ3+fs8wGMcajnmUQfQ31n3ZCeqKXHwHuH+sD3wAeG +rqa4J2hHuIZ8L6hPulscKXQ7wpq5CXrZDp4Wuj/VctDuYN54yrwsaHfW19R j6Geie9Z6HctCPlKP2tzn0M99oHQbH6or6Gm3rGulobyFHNUw1AuYB7gefo5 dKaqgPfPSEvU2jzrjeevYkZnkO/p6Xe9GdoP7gXX/WId7gV+JPS7pU9Ir9Tq xFDuZt7eBzwzVMsYpycdK8b1Icd2dmge53CvPvB+vRbSFnXFnPdEKO+dRB2F fnsxB5SE8gBz24Oh/FYY8o++PQDeM9TnUzufWD+8N8D3/wXts6un "]], Polygon[CompressedData[" 1:eJwtlXnwV2MUh78659ZYxshSUVRKWQtR2QtpoYV/bBVlhjHRYilCEb8U7Xsk ldKUkLFWQ0hDUUpIUyhFe9qkhXg+Pv54vvO833vf9957znnPW7Nzt5u6liuV SmWQ8Dw/Q+H1KJUegDvxGkWpdBgvg76Md8GX+FMwDp8Ab+EPw334OdAdH6h7 8P2wDH8aRuJj4U38IXgS3wdf4/2gPz4QXsN7wKX4PZqje6EmXhlG4VOgE94Z hoSf2SX9Dnr22dARr8D7b8D3QnvGRzBeg++GDoyT8Vp8DxyH19E34Vvgfrwi /23Fb4TejB+DcYoF3IXfCi+H59yC74El4Tnd8cvS7657bscPww/4LjiWtWsz bodPhxp4JRiBT4YxeHkYHI5ZBfxueAnvqZjiAQPwmVAVP4019+P3QkvNZ7w+ HIPTGVeBMfgrMAQvYFA45wMUD3gunINT8aOYvxnvCjczvhwmhmOwAz8jHZsZ 0BpvC8/im+Bo5rb7Px9652p4df47pFqB2xgfgm/xnXAM12ppDXwaLMA/hQvw T2AEXh8exIcqpnqXdK7fhlfx6fAufq5ihr8B5+Fz9E34LHg//N9MfEb6Xv03 DZ+qGg6v8UK6xlXbs8O5GJ925WQSPjn9bM35SfeqRvBF4Vz+mHbl9CS+70zG O/Df4cTCe0C1r//+TN+ja9ozg9N7UntxFvyBn8D17eE9szNds6pV7cnjC+9R 7c1tcDG+Fkbij4fn1k1f0xp70zlQ7JeGcz8o/SzVgGpjlGIYrpE5+AfKAf6h YoS/B/PC/82Vp6+dDx/J0z4fPsMXpnN5IXyBf572BboH/zh9r3I+W70lnbt6 sEK1ojn6NlilWoBHtZbiq72V9mHwDb4cLgrPeUe5Sq+ldx6d7knqRfrGevhw xTxcY0vVm/TO4TUW4YvT79oAluBfpV33NMBXaw28t74B/z5dq49AmWoVuoX3 hPbq9eneqj2rXntHem+o516D/w0rwz2jKX4QVoT3TA/VBkzCe8EUxTrt6okb 8UvSvUp7vhle4hmrwz2wDeMjGW8M7/EX0z1GvUU9vbn6C9d/DvfIKxjv1jeH e5x6QRN4JtwT1ijW6W9Xza3DG6ZrbzT8hjeGPuGe3k9z071LMVmpWkjHSjHs JU/3qidUk9rL6bPhvxwpd+leqRrQ3uuZPhu0B9VrbmDcP9xzFMtrYVU4porF ddqj4Zhsw7ene5l6clH4DNHZsQ7KFT4zdFZozj/pM0VnidY8hesnF+6V+8Kx ujK9txSzqlyrVvia3umv9Jmgs+A72IJvTZ8F6oGb8M3pXtgG1qdjolgshsqs Valwr/81nEv1YPVe5fRA+gzW2bs8XDtXp5+lGtLZ0Co9V2fEVfhZ6XuVU+W+ RfrbVQM6e39JP1tncCPNTedWOa2e3oPae6rJfwFhkil8 "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHeYlsUVxT/AmdeKvaOGJrAUaeLShQQFQZqCdBAUcRHIqoCgEgIqUSEC UWygSATsDUhQEQUsRCORGEs0xsRYYmLsGtEgnl/u2Wf54zx3vql3bjl3vrfu 2CkDJ9cslUo7apRKtSTLUqk0R2gqvC3cKcwV3hJ+7bG/CyuFK4Q/CfWE44XZ Ql2hofCqUF9oJPw8l0qnF6XScrXfEFbQJ3wizBeuFf4t3CNcLfQRugonC+8J q4WrhP8I9wrXCP8QVglXCh8IdwnzhA+Fu4VfCL2FLt7rj8J2oYHwtPCUcIfw bIo7txPaC82E5kIn4QShpbDV492FDh5vIXT2eCvr2kZoK3T0OOt/IpwklAun eQ069fIZnT1eZpuXW6LHqT6P/Xp4DB1PsWTseevVV/ix9WS/nl7XyeehY2uh n+czd6IwShgtnGX9sNlAn8c5Q9yHT/p7HXc6w+PoONj3Yf0Aj7P+TI+jy++t 4zBhjNczPsI6sfdwz+H32R4fJIzzGWdZ3wHWcbQle430HgO8pqd1GuvfrD/H e3CnyT6D8fOtB3tMcR9nnmd90avC45w/yXdg/QSPs/6nXsc5jwi/so0fFhZ7 j3Gexzn3C78UxgubhPuEBcI2n0v/A8J11uUC35mzHxIWWfcHhYXWpav9TCyu Ea73urXCDdb9cuESYYawVLhQmCbMct9M4WbhJuu6S/heuEiopVyuKUxXe7Nw i1AptFdfuVAmFEIWLk3BGfAHMQ0nwBPwBbwBT8AXcAxcQswTu8QPcUZ+whNN UnAG3EOekMfwCvxyUg7d0RlOgg/IT7gBziAP4YxrbRO4AY4hH+AMeIIchnuu se3Qg/wq93noRF49l4IvTvQZHTyPPCfPOnoeupNj8NY8j7e2b7r4vM5e08p9 na3fyZ73G+HGFHHyuxQc1M336eiz0a+H7cVvco2cJMaJwXHWhbzo5zPI0V5e M8Bj7NfT69Glt+d197q+1rWX53HmQK9/MUVuD/W6IT5/nbAkRZ6xL7lcxRln eH0Vl/XwvoM8j/v32U0P9qvimMGe91mKfCF/XkjBg6dbX3JxuPciR8ekar6o 4g/kSOsyxmN/SJF75/oc7FfFH2O9F3lJLo73OeTfBI9P8X37e+8R3pf8m+i+ Cq8Z5b4Knz/J8/pa92E+b7LHhvsczq6qE8Tl5yl4BI5om8Mf2OG7FDFEDn+d goPgo1tT5Cw5/2UK7oBH/puCs+CLb+0/4u+rFFwDf32TglPgkZ3ClhQcAJfA KZel4Ilp3v+2FPwyNQWvzPK8Sd6D+8IZ5DDj8MpMr4dH2PdiYUcK/iKe4BX2 YR7vCd4c8Ah5Qb6Ta+QvfNLctpqbquv6lZ5LPpLv5Bz5CA+08vp57mMM3mhr fxNr51rv6+2/5jk4qsx+XbSbn67zOn4vdF+FbXm+fbvE9pho/1T4zPk+F52u tr5T7BPWHaJzD87hv4aSGyQfFTYK6+3jZjl8MNX+oO8i9zcVlqn9pNfhpw2O D+Z2yNE3zTa+PQVXY5u7bB/uvcJ3R8d7rOdjKbi7iW1/p+2P7Vft5qvVtje+ Wmn/4Ie7fW/8c6/9wL3X+e7Y9f7dfHKf/XKYdD40R7weILl/jnn45MHd/PCA fXGQxg/M8RufPGS/HKG+w3PkDP5Zax8dpb4jc3Vtf9j+qq2+/XLoQVw8Yn/W Ud/ROXKGOnqTfXis+o7J1TV5jWPqR+o7Lsc960nWzZHDn/s+3OU2+2yp8aj9 xdmbbIfHhd+mqMvr/bvSvt3oOLjFY5XeY4P32TfHPrxDWuSIb2reMylyvdJr NzuWTvA4dY+a/kqKfCQGnnYc1M+xvtLrtngtOj7hfs56zjHTMse+1LzWOfi9 m9utcnA9c6iL1OI27oM726l9Yg4eR1Kb4FK4sY1/Y6Ntjh/mw/tDrTt34I3S yudTA3lv8P+hcYr/D/zm7fG62409/rLbjPHWqZeq3zrkzkspzuL81zynkeVr PreRzt3D7yvs8aZtst3nMZ8cejdFDmHfP6fIRXLonRR5xrvrrynyjxz9S4r3 Ezn3fqrO43+myDn88b1jgDz+KEX+kYv/SpHfjPMWRDfy8uMUXMWdPrUNyfW/ pchpfL7TPuc9+b8UOfBFipwjF6d53+keI97JEfi9pt+QnFnDNuF3dp2Y7jns wbs0eT72q5Wrx2u5f5bX/syycJu3RG3nb2PJPT1/T8+hfbxkKYed6NvLa5F7 u834LtuSveCEBY6LfXLEBjkML8FbV0n2LSIPsQdcBLeR483Mz/iVHCQG2pu3 4XNkM7c3Sj6WI36ba7+5OfL4WLWPKeItsFW/n84RQ9TxOuYlamyZ628XyYU5 8rep3/LU33raY5rvT0y2cM6Tc+RJd89v7zVzHH/U3metPzWikfa51PG9zGvY H781tp3LNOdy++ASoUERc8u9P/edwngRtl3Bf40i3j09JE8RGqhvoDA8R0wO kByW4110suTmHHnUU3NPLaJ+ThX6FMGRp0n2FprkkJU52tQQai5xe5D6Dyzi fdRPfUNycNEB6tu/iLfVIZIHF/H+2ltyryJiLRWhE/rUUrt/Dn7bV+19iuD7 2pL7FZErdSSPLuJddpjkoUW8146QPLwIfx4leWQRbyX2G+o9V+ewF7aiXnSw DXlzdXDuUPeom9RJ+BGe7Gv/trGe3IG6SM3jztRa1vGbWrnYOdrIebfFOUMu UK/wCXUGLm9tvobjW9pu6E1dXOuYam39uSd1l5oKqL/U3v/b1z4hjqmz1F7q CfWGmkLcU0fhFGoqtZV6jh2ptevMN9RZ3hecTV2+wXF7gnUjR+flyNNFOb5n LbetTnSMYae2thWxSJvxGbb1TOdZuXOto9tT7ZOObpe7zZqttgV2qKpnw7y2 g+fQ1846wMO0mTtdsn4RPrmM/Coiz2bBIUXw1sXCzTl8dYVkryJq8lbfnZpO jW1pXSrwYQ4+I6dbmJe2SD6Zo4ZdiH9y+IH9zsyx563EQo6aMBK/F8GDcNKz 5qWvJb/K8S1wNv6xnc+XXJPjHTrTvAAnPJMjn8nl5yVfyFELyeNBOXJ5Pf7P UZ93Sn6fo27BlxtycOYI7lIEX68VOuV478I9M3wW50+wDk9Jds1Rr1dJrsxR 25dL7lFEjHfm3jneCy8SCzm+fZ6N34vImXGcVUTsjsWnRcR3N+G5HPXiJcnt Oer3R9gmx/fO7yS/zfFN9BzJLkXE7nihexEx3VBycI568rHkJznq/bnYrYh8 GEWuFVF7xuDzIrjgPOG4Imr2aGK7CO77TPg0x3fWSZJFEbX/FbVfzfHmuJ0z c8TOG5Jv5ngTvIwfsr8l5+BucmWx78x978hhR2y4THJpjprzruR7Od49EyVv zPEN9232zvHueQs75fg+/YHk+zm+HzN3iedTNybn4MN3mJvjW/LrxG+Ob95f SH6Z492Dn5+wr+Fi/jNQq0vaZ1eOb9jfSO7I8Wa6QHJbjnfbHMlmRdR+7FGz CJt8yN453mGP56i71Fy+kc92zNcooq7AP+TWphz5tUByfo739Q+9o86n "]], Polygon[CompressedData[" 1:eJwtlmXUVkUUhV+QOSOCKKmICB/5YRd2ARKi+AO7FcUWC3XZQSjdCCImoWAv CxUVCxEVDKQlJKS7RXy2+/3xrLNn5t47M2fOOXNLOtzZvlPZQqEwAsrBnigU zofeqVBYB/3Q98EI9GfQF90VPkJ/Cg+jG+VCYS9sObgfSmjvYayAvhu6FZ9v gr0EHoKRtDvDX+jlsBTdHR5FN+H9jN0bBkN3+Jixz2E2ej4sQneFi9FD4Av0 C9AC3Qc+0XywCN0GxmguWIY+B8Ymz7kK3RZeQy+Hoejm8DL6S/gRfTa8gp4D 89CtYXTyGuqy1s60v0bvhmHoC6AjelKyHgPTk/uekS/hW3R97HNwW3iub5J9 dQ9MTPbZr+iW8Cp6PvQuvqNntcde6EOzfVUKPaBetu8bQU9onH02jWEjbIVV vNsD1qA3wAqtDbahd8EadE+Yhv4tPPdTMAX9U9gXT8Lf6NVh3z0Nv6NnwQJ0 F/gTvTjs+27qC/tIvqmIXQ/nwuvJa+iPHgAvoRvqm+GYU6wpBragz4NxyXto nR2jis2G2H+gkB27vWAn7XYwPnlPFxVjSrGkmJ6JbgWjktd8GfpFmIJuBm+h a/C9bejB8CHtW+UTnY1yQmsLr3UGTNS3w7qRzlCxG362AXyns9dZoGclx9oP MDs55iajvw+PlcJXii2YmfzO1PAZyPd6Z5JiJzyXnrkZ/b72gH4CyrL2MtA0 eU+nojswXhMOgpNov4EdyNgB2JNpXxfWB8LxtMdh+zNeFVs1+xmNbaXvTPQN 6NpwiN6jfTocjN7OePXsOTWXfKix69G1ws+clu1j+VZ9p9B+EzsoeY1XKPYV czobuFy5CVPR7aCcak/2WalPuTod5iXn7B/hmPw/FpNzaUZYK6d+Cce4Ylvv zA3XGNWWhcmxMSesFSMLwzGtWF6cXAsWhLVqwtJwTVMtW5Jce5aEtWrQjnCO KbdWw8pwDil3liXH9vbwmGL853BNUy2bC8+jbw/ryRDsPWX7Qj5SLVurbybX tH0ZOw6q0LeJ9rpwzivX9czmYk1QLVgJ/xZzSLmzNjl3doe1cki5uin8rHJW tXRFeO2qqU2Z65pwrFSD/bL7pDczXhl9ItSgvYX2veEaqtqpmqi74wH6yoTv kAeVW9m1XXeG7obH6CsfviMm6OygQjEnj2H8Ks0L+8ORtMdi+8gX2MNoP47d p/iN8rSPgkroDcl32SPoFL7TambHuGJ7B+OXYkeGfa+c+gB9SzjXVLPGa97s vQ5IjuVq2bmimH5HeZf9raHJuVUp+2yUY4ejB4ZzX3tSblbJ9pVy9D3lGe1d 6GE6Y+0le+19Ff/oNtm1cILOCFuR9kZ0P3hXeUd7J/pZeFt5np2rQ5J9cWXY V/LJXXCTYoKx4XBW9h609jrYC6Ft9t2u+2p4+A7S3aM7sX4u3kHFMy3NvrNK iz5uRrtj+Ft1w7FxLbZ6OEZOyPapfKm+M7LXrLWq5ujub0lfg/A/QPPsPWpv Jdha2XPo29pzC/SN4bF6MArugPWMTYPMePtwrVFfJ/QR2XeVYujobJ/L14qx OtlnorOQjypkx6BiTz4/NvsM5PvK2NrZa9DcOsNW2Wems9IeBoX/EfRvoH8A 5e7V4XeVw6OLa9Za9U/xHxKGUXY= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0+dbjXEYwPFzcMzIrhR17Kwyk1VmGb3pvTf+AP4X2XvL3lL2nlFmRmRH iBCR+DxXXnyvz+++z/Piuc71e6ILFuUvDIdCoUtKVXCOqJ06qot6aLiWBmcP 9NQH50yu5gTGKV4fzRO5hpOYoF76ZE7kWibxNafwJlN4iMk8zCjLOIBH2J9H OZDlHMKS4H15nEN5N3hHnuAwnuQI3mc6zzCNZzmSD5jBCxzHi/yu8eHm/+KF XmqVqjTDfqamK0ez9M3+q85rrHklt+icRpnHaLROm+9prvMKbtZDndIcu+V8 ptuaZ77DOn1RsQbbLeMmFWmQ+RifqlLP9UQ12qg8v7/nK1XrrabZbeBUfmY/ 9lW21puzWMs+7K3JWmeu0C2900G90QE9Vqm6e24/u3Ifu/FGcG+4l7Hcw868 zk7czRjuCu4Yr7EDdwb3jjvYnlfZloVsze1swyt8pG26rK2abZ+rJc6tGFFY LdVCBfZN+qvf+qNGLVaDfqleP/Uj1PwhzP//TfwDXxdlyA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{335, 334, 338, 719, 710, 711, 709, 713, 712, 624, 715, 716, 714, 718, 717, 625, 721, 722, 720, 724, 723, 626, 686, 769, 669, 708, 648, 706, 647, 707, 623, 337, 336, 335}], Line[CompressedData[" 1:eJwV0sdSk1EAhuE/RLFRRBT7glvyDnDBEhcqqMFeZrCAoCKIA1aioKMRNHZg 5RVgUKxYIiiiWOk8Z/HMO1/mT5mcU7p5y6aKWBRFKcpzoqjMqNGDfOUJIwxT Eo+iA7pKH+sXsqy092uxPtLPfGKFvU+L9KF+5APL7b1aqA90iPcU2Hs0X+/r O96SZ+/WZZrWN7xmqV2tS/SevmKQxXZCF+ldfckLcu1dulC7dYAMC+ydGtcu fU4/OfYO7aSNdXar3uI2x/jGUQ6xlVGO85QeLrLe+y5oim2stk/oDQ6znTVe u6S1jPGD79RxhEp+cpJe+rjCBu+7rHeoYq1drzdpZ6N9VX/RwDin+E2Sv5zm D2f4xzUmaOQ/Z5nkOtM0MUUzM3QwxzlmaSHyvefDnQif4U5NMMkU08wwy1y4 fJ6Jhf87nEE4j3BG4bzCGYbf5JksGZ6RJklTuKskCJc43N95B0dqGQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VvlkEUgNEhX4sVKQ4LaL9SKrgVT+AnQCltWNImsIC0uC5wKO7u7l7c 3d2KO2xhge04b1icPJlkFpO5ufHCktziCiGEclJiITShlFhCCFOZxhSaM53e JCWGMFArsYa1rGQ1q6jIclawhGUsJZH5LGAO85hLAqXMYgYtmUkrZtOHRbRm IW1YTC7PaMdT2vOcvryiAy/pyGvyeE8O7+jEB/rxhc58pgtfyWcQ3SimO0Pp TxEZJPuL7/qDidR2ztQ6+lN/MYm6zllaT3/rHybzl2x60oseFNDYvUY6gfGM oyvfaEgaYxnDJz7SgDijGcVb3lCfVEYygheUR28hheEMoy2bqUIhAyihBUMY TGXWs4F1bGIjVdnKNrawg+0ksYvd7GQve6jGfg6wj0McpDpHKOMwxzhKDU5w kuOc5hQ1Ocs5znCB89FcuMRlLnKVK9TiOje4xi1uRnPjDne5zX3uRXPkIY94 wBMeR/Mkx55kk0UmGTQjnaakESc19n+3/gEAFGvX "]], Line[CompressedData[" 1:eJwl0MtKQkEcwOExj1nRBTeaVlZUj6HQxbTsAi4irEykIgXtBaptr9o9qFbd P2nx8Zv/zJyzmPnWRa0XCyE0yUUh7MRDqLFHnQYtzujQ5Ya8u7tsM5zwnY7o jHbIWueYZJopTu1vMdvf0zbHzJmbekKVfP++npO2zjDEpnlQNzSpDU1oReNa 1kiPdEDXNWhJY3qov6zxzSo/HPDFCh8s80mdd4q8UuCNfVL+19UXlnjmmice mXC+qON6pQ/cM2Ze0FG91Dtuo/+3/wPB0CWy "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1314, 1313, 1439, 1596, 1716, 1640, 1715, 1641, 1717, 1664, 1869, 1665, 1681, 1680, 1598, 1723, 1724, 1722, 1726, 1725, 1599, 1728, 1729, 1727, 1731, 1730, 1600, 1733, 1734, 1732, 1736, 1735, 1601, 1682, 1836, 1666, 1721, 1642, 1718, 1720, 1719, 1597, 1316, 1315, 1314}], Line[CompressedData[" 1:eJwl0ldbj2EAx/G7+JeMMrLX1QuwU3YZEQ3kJJtEB1G9B6c5TbmsZERm572A 7BHKCpGtZYt8uhx8ru/9u5+z53mSCkrzSqJCCA2kR0JIppzcmBD6CLEh9Opf /pDDL37znZ/8IJuvfKObL/SQRSddfKKDz6zhAx95y3vesZp23tDGa16RyQte 8ozntLKKJzylhcc8YiUPaaaJB9wng7vc4xZ3uM0KrnODRq5xlWVUcJBiDlHO AZZzk70c5gj5rCXKe4vmqPMxNrKOAe4Gcty5mk2sJ+IuhhPONWwmj1h3+/Qk pzjNBirZzzTPS3SQluoZpjtv0Rkax2Bq7Zm6VWfpEIZy1p6t23SODiOec3ay bte5msBw6uwU3aGpOoKRnLfn6U6dr6NI5IK9QAt0oY5mDBftRbpLF+tYxnHJ XqKFmqbjmcBlO11361KdyCSu9H8j3dP/PXQyU6i3p2qRllHlny6jkHyyI/// 939d9WMU "]], Line[{1623, 1396, 1400, 1404, 1405, 1406, 1407, 1546, 1663, 1835, 1662, 1833, 1661, 1834, 1675, 1832, 1660, 1830, 1659, 1831, 1674, 1827, 1655, 1825, 1654, 1826, 1673, 1689, 1652, 1824, 1651, 1691, 1672, 1683, 1650, 1669, 1649, 1867, 1866, 1620, 1865, 1668, 1678, 1671, 1870, 1670, 1684, 1621, 1868, 1653, 1679, 1863, 1864, 1860, 1862, 1861, 1685, 1622, 1829, 1657, 1828, 1656, 1658, 1623}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Qc4le8bB3ANItKgqUWHEA2FFL5ZJam0aKhQRkdoICGjSKJkFBUR/UpL ihKhZKtkj8j7Og7HPCOSEf5P//e6zvVen+tZ93M/9/scWRuXvbaThYSEBOT3 7z1rq5BQFa8Xu22ZSpZhg1grxzkRLdIHE8st+nU7BuF3c91DTZM+vDllr/gz +DcOfR/IPhTah7xJLZ+aagYgMpDjMvqV+EWq9rFVA4hUvrNgkQQXznNkrBVC +3G0zqXYwoCLWc1zY2yE+5FeHb3j8EVi/28F+wN/gSXbrbAshYsEraBiW/Ff oJdHvklq5WJobVbHzGgBDnRVyLVL8bDY/R6zeaUAzgGu12lDHjQiw0Otc/g4 7aR9d4o9D52LNy6Xd+UjKx/6Ptd4CLq7PX1ChY8iN0fL3U95GFIJ/JP8nYdW JeFMt1Ie1qzRC529nYfv0lsZ/E4elt6uuT2tiIsNfaccNbg8IHh0vlwqF2Om kekX+nmQu07pHLjHhU6F5njaEA8O3uKVCQFcpI5/29ozxoNIXN/9qS5cCJgh QWfGefD4tftd82kulP+4fvhNzNwqI/mWyUWLznWW5wQPXxfqJ91w4EIhnzqX Q5ydpjx20Z4Lof8/fNj9/+HiVnDENllivXUHvuy15UJU/PoNfeK5EreBk1wc rtafF0h8Nf3N1gU2XEyeERZTTFwRLBwiOM4FI9BZevokPpIX+0l8OcqFS0dC 8MMpfOx6cX+9hTHJu5S3l4YIHxZShVNH1biYek+rq0SUj1tPP5u+W8JFSevs qoPifIQVfW64JkrOdb9K0RoZPrzdrzoUBfZhmLW0MlGZD1c33WYrUjfmgU1r Xmvx8ehxC1Sv9+Jn+7alh41Ju+2R+Cmze2E8HlYfa86HdJd4be69HkzfONnD 2ZEPkTCZy/zebhR/sPLf48uHrVSu8DSjbjw16jE1iOBDQ4jjFp/YhaSfDzbp PeJDNUE+w0q4Cz6m39KN3/JhXXlv58jpTmTJG6y3KORDPd76zIpGDiyNjHaM NfKxJsKkbIEUB3rh5dMye/novxvUkbW/A15m2i4BY3xstLv6yi+uHWXne/oP SQgwvpkp8quXDRm/moANCwW4++LVlf/02XAXUnwwkyGA+EhBkO6DNvi5PTjE URFgMHJeuOMEC1FOsd+WaAgQyl4W+F6OhU+7nR7M2CyAssQuOQezViR02dml EWdqTTP6GUQjRzPg5cyNAuw1bA9dGU7htpmN2sq1AkTKFbzQZLRgSMZcYQpZ L9K7nqFS0ozXH9wOv5YSoMDkqrOVdxNSuZuiRof4EB479Tu0txHDtkmXvtfz YZTYZ85wa8DW/VO6mal8BNMLD+jOrUfvi9qA+Vf4uMhjLBL+WovEVdWjSmZ8 9CzKVXkZU4PPLnU/hBbwcbix/JKLZzWeqhobi7zjocrw/I7AM1W4qdxkNUec hw5jyRph9UoEJPkfNtvHRURlo2/4ggrkrdVWKrxF7gNNq/J8tXKELFCV9Sjs Rd6e48Hmjl/RHsES2PX34HLaT9qwvgzW2bS61+IevJGO/zTtfCkeX1cZ8dfv hklTlJX65hLkH5dxkLfvwgPGiNBNlWIwhwrzEtQ7ka2XFyD2qxBiKusOcqZx sLGp5JLRSAEkLjuu5NHtcBa1SPusW4ACvYkj8/PZiNTQYYmQy8F3vyjUU9sw 2qKyJMY+H2NZcw88espCmtE18AzyUZRgEWmR2oq2ZAUxW9N8XJY9ZdpdQKNg tcK6xb5kfLRWyfHvFJ5I5Gt1/8iHhblRic/aFmTsjrNMOl6A3KvnWtVSmqH3 JylVYkYhfJbe8hM3boJn86f9gW2FsGj8+NF6rBERwm7lOW1FsJ86L8DuWwOG dokbxEqWIE7tWK1qRj1GTv+xXmpbCjm5scaMzDqcVVwTs7GzDJOv8H/8qa5F O6V64U3MV5yzrXjeOLUWU6e/SBG6UI6EF69tZknUwCqDl9j5pAKlMf4nazdW Y5Czr01BtworJXQYdteqoB8NwefRaljZPJ89e6gSPizGy8jmWnRNi+3cFFgJ 0bB1XxN/1MM7XKfIRrUSvOBzv7dwG9Fs63dFnlsBurXBzkyyGUoVcaFbCivA /C8h/zPJg6n+X82o1Ao8NP82EidPo7PF14DxqgK6lzuaekxbESwpl/f3QwXO sza80lzGgkeGrmdsdQWGhUdDhtkssB0PZQvxK/AoIGhXTEAbelcovVopVYnP E/6ijxewMdX48rur2pWwPTlvc3QCGzNvv0ecYyX0hVt3KSxux9aEcI2B+Eqs nnRsYkdIO4w9OxyWNJI6HVlzVoPbjhtXrFrfzKuC2pvtTBh1YFjadYv5wSp0 rzINZd3qQMLVFS2SqVW4ZnN2bwrdAfcalSDhGdVwKjOKfbmcgw0VmuuSnavR +XhLnvZeDn4xtJ6fqamGfLVISJY7B3d7uF0snRrEU88avMI4eD7852LIsxqo 32GY5Mdx4FGXvnB8YS2S1SvVshM5yHBVu1QTUguDqdHSHvEcqLUNaL6cqEXB 9p+jfVEcNFsucpIMq4Mrw2bUx5cDxtdQts7yeqT/d/RYlzUHWhtkcuPe1MPf qvi3pQ4HxmKOA5FGDbA2PW5GzeHgqLfX8eCGBpwzO1u4p60D7e2xEl3MRlDt wgoXXnXgifgV9rK/jdhprsUautCBOzrj0bEhP2Amuz/MUacDZj1dgat3N6Fh 1ukTbZx2/HnQX9ck0Yx7kjft/rvZjn0OV8I185sRLW+qla/WjtW+Z260n/mJ geEivlotG1k7E3vipVvQMInrU+fORrl42iqdly0wsZtW7kfOs8hPOOSdFoWb vd5/h7LacCVjyq7VmRQMXGJl/h5rQ0azcqnnXBrbtY0/6wi3QT8n+5HxNhou dHimfQoLPnt2XKvwpKH1sTZymTELc8UH71gk0WgQE88w7myFc+QsamkejTuC zPGqsFaYvmnZnFxDo1RhbX8QWnFmXGpPagsNnlDpOpEhGo2asq/laRoDoepv czJprFv9tnTJDxqsWcMn+gJoGDyd6VLyjcaikTzRxEMkDt40jk02jSXuBj/f adLob/Y6tOoJee+IuF+/lIbI6Td2B8Jo7DC/IxEgSUNp/s642b40QkT9i9VF aaSzfOa6O9Mw5hYqTkyl4b5kJrvgKI3oaf6ej4nj52rP37SThqfCBN0nQmPv rZgT4jo0Viwv04kSp6GYs/a3vSqNAy7sheZzaPyuvH/Cg6x79vv0KO4iGiet j5zImkHGezOZ2itJ/0BudcZfCluyo6v3qNM4PIu5cJwm95l1/uFsQxLHu3l9 riUUpEfszkoeoLFtCq9oQxoFZUazQqstjdHLQbYGDyno0Wdja91pfNokOanp FoXNXsWM78EkjkkLC/0CKBR42bAXxNI4Ur3x46gXhXrPD2oWL2mE/ZF+PuUC GV9MW23JofHBfd8HQzcKPvVtbrFfaBwLWz33hDuZ70OZo2EDjarWRN5bTwq1 poNekWwaqUGDIZn+FPw6E6U8uTRmKK/Pb7xOQddJ1WnSII3ra3gJQbcpHLoz I8pwlIZARTJFm8RbGLTi7elxGsuUBwMvvaTgba989+UEDdOD+rlNpN6Oqnse 0Sd2Pft2459CCsk53HPMMdIfQm0+lRQmO7Dm2o/QyH3pN7S2mULcQu6EB1kv Pki88kc7BV7ujZgWAY2U2St2HeRSeHhr0L2ql+T39bKBiN8UTjIe61zn0DCp uqi+luRfMs1h/HIrqeuZXCpCiEbZzh/uT5po1C6Lz9GfTM7f86alYh2NpiJH SmMKDStm5vlVlWT/2WqKV4i/LE9u+/KVxqUW7Wxd4lO56c2LSmmM65kkXSbj X13zubS8iIal+SQmi8w/wrWXU8gndSrZYhI7RsEwP+G9N/ku2vj9naLDJP/j fc9GP9GQO/OI4TZAQUgkj3Yi7edDbIc28Cl8yZ8+I+YziddC4nZAL4Wsi/Lr dcn/4iqF7cuDuyiYpu+arkjWi5ud2b2XQyE6VXMbo4SGeZL+9+QOCmJ+b9W7 iZ0YcouXENvud/J6RuL1j3pWnELy52BcqneijMYaXfsAS+LHH+sH5pB6MP6b 9YVB/NDn75b3xJMN4znCxGWT2LP3kv1L5G39O8Ym59XzJ4wi1l0v8NEm7Q0s p5lj5Dv1KFRg1xGPyV+T+1ZOo8c94HYqWb8l5m3rnu+kPpZUPUkh8SomarDC ia+ZzjfI7KTwXs6h5Q7xpvUON7PJ/k5Hyp45TWw7Ulh1vpuCRrnYt/XEQxvs 8xb0ULhfslCll8x/94559RPifZNzM+4R8+tlepaSfB3Y90PJkPibfumaS8TM PRGvekl8cTrDst+JX3hdeRhIbMvWTxsn9tGbf28lcaC8QtrMPnJeq67q1pH9 sbwTBkWIs9ceL4skPr/qANVF+kfedl5vTaylsN22kFhssO+FPrFvbvvVu//m O7yUvZrY7PHlnaf+uW1xD4N4NSPvrCaxooJqxAriPCsxUxFiSkTKV4m4b3fd j2yyn+PDxzp0iZNvnlviR7zgvFLUUeJmg1Mr9hG3jKnO8CPeYKcar0Fs61f8 9SGxg6uztRKx9f3BwI/ESWKpvxSJveXeK9QTyzJdFNSIlX4XFXGIxZmBcXrE TXKNLgJiyuKSyn7ipxFxrAHin8/1jY8Try4q9v3nZ6EN0kxiP9mx17+IhTft 1HQlXleb8plHnLLB49Ql4sdp90Z6vv6rRy27AOLyT8mGncTP1SQ9rhPX5x/c wSb+H1Mm2U8= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1nk8VP0XB3Al2uyVpbQgFKmUVMinRYVKKC3Ck0SWQomHx5KnokWWIklK k6WFkiWp7PtSSPbtXjszjC1mFPp9n9/9Z17vmfv6fs/5nnPmXplzTsbWc3l4 eMTm8PD89zndvCPqyslJtJocVjALnsTF92dvb3WeRKTq0+XjSyeRX673qDNy Eg/NSvd7H5xAnsl4g2PhJFQM4j+F+f3Em6+OWUf7JyGrxHY26RxHcLyHxb7F HPBujS+5c2AcPS3CnvtVOMia0+MVkjyGhg8B740MOLhZ5OHXLDuGyndiXlaO HJx9t5zR/3gUXzYu2OUWyMFjSZk9euKj2GfkjuIXHFwqyHpjlzmCOsWq/aEf ObBh+gu3nR/BSJ/h45YKDuRFii39hEdQwiPl85TiIHvRG79A92G0ZT/b2jDG weGlYc+E6tnYflypunmCgwNilZk3M9m4eWQRs5nLAYOhf2FJDBvdVTbXGn5z cEGEcvx8h431jnZB1bMcHL20Ms7DmY3VMVV/S/8h8fxS9/55iY2jkUqnbIlz j6Q/cHJgI6DZY1Ma8dnk4B6mLRsl3u2SzcTZzkbPXl1gg+f/Fxc2/7/Y2Dgo 3itP/DPHZ9NaazYUNJhlh4h9F/fP77Riw8hoYeAjYqrpVIO5JRs6slIHu4hH 9/B0N1mwEbNVirtxDhfZT2pUTpix8SnXaFhmHhfSj28pae9jo/r5SVPR+Vyk Mtc071Jig7fRaPvMQi6et64RMRFlQ5Rz/maPABfbBsye3+AO4ZWekPrwai5E Ajd/0TQZgklCUefJLVxs2id/vOLDIGRvUOYrdbiom5b34ls+iAel3913mXCh wN/gnvsvCwyPcd50ay5EA5ru1w0yUbviRoCdNxc+2c3TSqJMvLPbYBUcyoWf 1otVzloD4I9fNLP6FRePKrSfaTv2wy72R/uSL1zk9QUMaMT34WGJYoLVVy6E QiYmxLp74Xf/vtKCVi7i1vHoeCv2wuqn/aZWNhd7V0R6XFbuwWMz5sKzs1wU mDHeTO7oBttIpO/6oinYOAvn3jnaBfmQii3blkzhgukB48+OnXCd3vvdVnIK t6rXS6wL74BIccxp0eVTuPsm4olvEY22aE+jteT36LdKXr+4FC5tvG86JTSF t1Fuk3cq23DZzI2hRvb71/xZb1leC8TuKuR97+FCRiK+KOd7E04HSqk0FXFx IH2JQcRMAxx4BVZbPuOibZ5w5mOdekyaRG0PcuJi2SserkR8LZr7xvJCd3Lh yXeRYS/zAxoKMlJ7ujh4G7TRWH/TdyQGVBr7+nIwWGIo6tBQibEhv6AzYhzE 2N/Q/vOqArLtzQ/nknmVlzDwdq0sxfGrjgG5kpP4smzj07/3FqNsJOT2SPAE zqifGz3ypwDiNxkbxngmUCaoqMf7Jw+XHpYsXn3pJ/z0coICNXMhfPRXcl7d OLZE3FrLMs+C0wvheCGtcQhSm+jx+M8oc0sPWs0Yw/pDPkYmBzNgm69qMcI3 BpEcXYEptXQkB8/dbeEwCmsFtS2vbdKwo1GVrVgzgnQx0wyp2hSI1esKD2uM IHXL9m+9rskovLj17tXDwwh+ec4kYP97qKRI6E7MDKG6PrD+j+o7HJs7LaOT MQip7ZvVRdUS0buHbangxYLt9MzmhJtvsN7M2Hy9PhOjEYk/N0q9xjZDt5AE 2QG8ztPmyeh/iUy+FZ+6+fpRK/7hQCsrHseORvYMjvdisia/1UU6Hu6Nq/7N H+xB8XiItq1rHPKrFRRlH3Vj7MkyQa2KWCRqbnXgN+lC0q1Ms2VmsSjwrA6n 5Tvx0stANlsmFiZRu4P5F3bA6LxYQo5ELOKOZfN5/Kbw10oL9hLNWJxwK7zm zt+OTtPo3cw7sWjyNbrqqtqKAZcvap68cagJrzBu/KcZFLvnXP/LOCiuKXwy 5t4IE8mYjZz0eBiLzDClXtQja5d2WbfwK7S4R40eG6/F9qt7vqtkvIbCCeHe r3Y/4Fb8b9ySjwlYM2deefPcGog8MbN7tOwdrlgeLZn9Ug3xzcGrdjm9R1NS 8ply+SqcT19asEo4BQ2ylydKF30DVdnbEjSaitt69XzHw8uxRetiQEBzOpYJ l8sbXC6Fd8idD80nPkPC/lehYVgxXuxdJ9frmY3VghK8SdxCnDhy+MpIUh4O 2up/OhtRgHiN4fbN9wqhY9QyMXQpH9LzY9TVW0sQRO32VHxB+u7BgjFGazls Ahh/XRrPRbhyxNJalUrElpttcr2Wi/yooLKP7tUo1FurZ708FyM8QpyU0e+Q 6w4LSvTPgd2ui3mZvj/gsz71WMNYNrSX6p9TWlsHwWUpb+P/zsbD1uSd+U31 0Odwr95dko3ToW5bcp81oi8rcxl/URasrr5ldzg1o4Sa73r3ehaSrBzV+aNa IaOs+S3pdBaUjWd+nfrWDsnTZ5/O08/C8I4sP3E9GhLuHT6lulnomhG1U1vf AX/x204CJlkwV9R3OczXCeOOMquRS1kIvaEjl9fSiYF+Jn/MgyyEa6QFSSd0 4SVybC3zs+B/6N0RqSvdCHlqFe42nYWDctGxrzb14NRA8O2JQ9kot4t48HG2 B/+0GoYGv8zGdUGbR0I5vXjfoazqIJQDVQ/xmnXOfeCVYBUVXMtBTcD6G22i /Xhy5eO2/l85eOUaX3Qsth/O825+jkIuAqPjQ38qDmBLiN+9pf65mHjx09zs 6QAKPRe+G+vIRTTHN2ViORNz7hgWMdblIdjbMKzcnon1kh6B6lfycCrSYuR0 MhPWWnn77mfnYX/54iqDYSZcoy6ffyiYD0HTJr5j8iycPMFvtv6vfPQuilko cJyFsg1/71JPzYfHVh2GJJnbVN+ibX1SBdi567NvRgyZ4z2TjXU3CpA27eny oYCFPYU2nn0jBVBxS1HoaWWhcUlezDzLQkRZWe5cOMKCnnNspGRtIWzSTNOr ZlhYJl3FJ6pfhBXR3Zwf/INQ5XwObMsvwkMr6kf04kG0PfcusLUuxpX9/q4G AoOQzG6rfCxQAj2tl/fc5w8iMVXR4kRGCU7zvIrtJuspMeZe8LctBecIlbCD 7GdoGX5uycoyWO30LJptJ8+7fhVGX10ZLk6oh78uZ0HcY/b90INyLAi6uigi lYXynatSzl6rwI5Y1Qz5MBa4L84t+nr5Kxx73fz8L7Ogdmoxg9f+G8ROxvGK H2bByUzQt+FCJdpPucdJr2VhNbOdJeZQhYkAVvuPKSbcPCfKsnZWQ2JNnKvd NyYM7D0v2uZWQ+1q57q50UwcDFMVtz//HQffJvFIWjPhqBX51X0xmf/X/DFv 1jExV+magO6HGoS31uxpHRjAXReLgOuWP7B4bJ9u+asBfLEeqCsTrsXm/G+m wdYDWDI8JZieUwv5tBKmzpoBJLeLf61zroOBiZjrvKZ+/GafUHwnWw9NEeb1 /uB+8A6d6v9cW48kDWV3wf398Jw0ZTn6N6DG88/OB9w+VP3I3PPwTCPowjWq RyL70FzQp3hoYxMmSy3nrNLoQ3y5tobjTBM8nrZLHG3sRUF56s6akmb4MBwu b3XtxYzf/i3777VgDS/5ZxbtxT8CLsfD9Fpx8nZSYmBiDyxU10l38rZBLn1I 5atOD7Bv3saVaW0IM2R62bZ1g5up8mT56XZsuG7tNeDWDekGsZDy0XZUGSTz tIp2Q/aAXg+8KbiwnNjV77oQNXJy38dfFCLk180/Y9CFFIdmTYetND4xMyJ8 xzvx/H2anN05GkX2wmEKUZ3ooD+b7btL47Nz4ZkK3U4cczKyn5tAg11v490z 1YEjb+dfKCukcf7jPYOOpA6YhQTuqWugMTa78v0qhw74sNTlPLtpRK5cJTCs 3AH1NIawAotGi6ZfdOgYDZElG5uODdKwURlZqZVDI+qiSfD9fhoOXkKf+B7Q +HP03YO/aRr2Pf73f9nTOHX8kXdcLY29UYdCRfVpbNigLJJN3mtSoqQyN26i 0WPuo2+VRuMNn3Gp3HIa5v4dTVsYNE7X2exOXkRjt+y3ifx7NNxN71G3eGjM Sq/Jjf6bfB8pEB42SSGzzWSrHsl/kzfvmlUTFHLbeRmqR2i8+JaQUUSee/TF qi+ZO2iYtX/sLp9HI5fHWRbyNG7u4LcrEaLh4nrcfFaMxpFNgftPrKChpyym rTqXRtP5ap+J9TSSPZxXzumlcGOiJk1eg4bl5hdX2oopfH3YQtsZkHOsX24V mUjB8czgNRcrGgvzZ4vxiELAp7s/n7jTCA2KeJnqT8G6S03NMJCGTNPnyZx/ KLyM68wRI3ka9b1bJulC4e53wSSvVBr8ew8ttXCiUPB4on4XqVMni34yn/i1 4cmutO80hk5V9G+7TCFs8onKnTYa76X5mh+4UoisP3AnoY/cL3jfocSTQqDQ 7DrJEVKfy9yb3jcoLH36GHWTNALEf/lb3qOQLZUdMvqbxlSE4RO5cAqLWIdn r/8h5+C3XUotjkJwvkuW0twOXAt3PJGYRmE31TujRpzP8KVbCihomX+oFObp gOoRM2vVGgrsbSW0yjSN21xJV02Kguk1rz4eDumbOUM/XzIptDxUkZgg8WS0 Up57f1J4ZBmWfolJI3VMt3yU1ClAd+p1fhep0wc//WZS55P3htq1SX6KrrKD laQev89zPVeTPnXPSwtcSuq42+LjWolqct9v+d8yxPt+dGzXLaeRZTz9exsv 8WGHwVrSZ9/52wxD59AYfpRYlZdP+srqcs3kLIUKA0Xz37k0Fn8IvXKczNf5 1bzCZsSlMgqP4kkflcwonk8h7l2axMEohd+NXXeK82jo6LrcMh+icLF9s/Ff BTTalatrFEh+qd6Vhw+Q/Vi/jNj/9lPQPPP+akAxjcbK2fnKfRS2Dg89+l5C Q72kXEmG9JP6sLiXcBkNZ83n5pY9FIRcIyx2kfgf+gTP9nZTmP8m+NfxChqP E7etTCQeTLC/bvSVBmOSE/OWmCFpeuHwNxpqDeovhoj7X6yOka6k0bU24+hZ sl7ch53b84j/2RDVPkXst31Du0YVeV+o2NT/juy/J0k5L4A4/9jDoqskvtVe ihs+Eut2frHWIfHPe/ZJNY+YkXnjldgA6SftK+y3xMvlOrY0Eq+omIm4Tqy3 lr0ymOSv7cb21CG21W0f38Ki8DYuMo9L9tcy5XvcSuxktHY6hDgj3szo3CCF xnAR2bXEP75W3C8gPsP0ncgg+QS4WrXOIecbLKfVdZyYkdCgv4Z42qt78jfJ 3zF6VYEc8YyP0/p0Yj7b2gdLiNdG5p/2Jg6Unq4bJ+tdjWYy/zuv4ZO+CaXE Esmx97cSx+yxmRdOLOjyylWG+IzEwkMGxAcsjq1aTrzzqkgtP/Gb96cFZIk1 vYIXFJH4SzlOR7cR37l7Pe0ecX7FgomjxIkpk8vOEt/QUzzpSKxSp3xIi3h/ Um/H/f/i2Wdwfx3x0AFf3xRihyJbDzliiSHjl4XET1ec2/afFz6ZCa0h/nE6 2VSBeHmIi0Y78f8ADIverg== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFl3k4Vl0XxoUQiYz1mhoo0psMRQN3hRSVBmSIMhZCkggZ0mCoSMosMj6a pMwRQhLJLOI5SMbnQaZS9O33r+/8s6/fdfZe6173Xnuf66y1cjluy8rCwsK/ hIXlv7GhreK/YY9xV0fRTjEavu3Q9Rj79hdNA/KRY7GZmAp2qxVe8hcUrvdq fk7FlXaJgW8Si3A7LfMs9nkyfoyccLRa+INfOtMVVd/isXeqjqrs/Y3WoAjj zk9RsHfnP+RaNw93C1M/ro/3oV8f+tSy9BeuFrn47IsLR+Cn08O7C35iBec9 lS6p27A3iAp1KJqDkq6O4I5lQRi9eMllXdUstDuihqmi69gwnfs6KHEGl1QG OmQvBoClSc/Y+MY0HrfY1vBWXkVp5rIQoytT2HNhscqs6AqEpa/My3v9QJbv u1LhG5fxNtrel914EsrrB+kBfm6wO/nj9xKdCUitnpCkybki6axwVMJtJi5u rnC5mO2MDHUhESH1MWzPrdrtqu2IabeUubDVIxDRaVaNKj2H17b5NywDBxHs aHvn8Dk71JrSp09sGQBbqcgF4TEbNGVRq3YI9aNZv8NSS9gGp5L2Rdgq9OL0 Ly7n/HfW8G+l3t/y6wbDO0fxhagNOM6MOJ0/9gUhP9b4xBy0RYaEiE9scSvq fe+EL5ifRWDIfKX0m2aEs07zSCnYozFGtFpyrBHmt6ZyVV0dwenl2b5F5zO4 L3rsrlN2BudIzKmKiHo4TVy5rlt1ARYFps3qPbVgNQrp4X5/ERGMsCw9hxpc vsPVprjFHRO+HJFLFKvhM5acxcrricXR8CPmue/AWXJzNMPBBxwblMuFf5WB rT+jX7A8AMOpnKfrA95Cd1v6yJWJQFxyXKFduKcEbus4LA3dbqKIdeZ9oHwx wi9MCW8yCsbQyfs32VCIU3FzWacybsO2gNX6kGc+njI/qhTuCkeoislIVksu KkVfy704H4FkNWv2f0NfY53W3la1oEj82nhEIu7kK4RLCXcLDT7Eh4ysnWlq OZgJoY5evxeDut/LjFb++xL7dgyuzwuPB7tG7FyhcjZaWQfSO5mPUD5151Uc xwvobExm77ZIRu0LFvUzBc8wo3R/F/fgY3SteV4+7v0Um6RzVlZFpELfZNf4 taNPYGK21Z3fNh3HtaBzalsWNBM749dZZkJTz1Y/cGUWakfZDT6nZyK7gpuX yaBBqN4tW5uRiYHMVvH4Whr6awyKr6vQcMvCR/xOBg1Lx0P8wnxomCoW0OFL pUG+/iZfQyANxa/GxSKSaDi1se85fygNvAfmY4UTaAjml7EwiKBh7AvnjZNx NEg5NRbOPqAhNua/5//ja/a7X75G0ZCZwV++i6zL29usueYhDWo3z53vIXHX 7Jo7n0HisMX+rpXOpOFcw14ohNEwqhqzw+kF0b0jtiif5PWW/VCQn0fDh7yD H7ba07Al5kaOAEsWuPTZPEb30xA/Me+qoZuFjOuXbQalaTAces2r/iALLj23 laTZaPg7c+gxf28WDI/0ynNPZmB3wya9Rv9naOsPvcgcT8cy4ef9d7dmQ0Pt Qijn3zTYWwkoPnn3EvEr3ns9lEhDn45o2B2fVzgQtF/tu24qlr5/M7PWIhcj a7wXdG+m4GqLlY2DYz6EpCRD4iYfQ2hJpGq9SiH00kIOnbR9DGkjurSyZDEK gs0rFXqTsTnAm0NNrgTVFofPf7FJRltZzkbXk2/xUrc8lGciCQWdJzlVWstw 9M72X0qXkjBdp+SurFGB3JGBLyeWJEGlQvxhS9k7LDjXHJfc8giTcaIif8yr kOMg2CXgkAjBVG/38yLvsXU373BLbgIWrzN/lozUgGOp/64i/gTIlFQlGnXV InD2oNHTrfFw00s30+b8BINNVn3rL8TBao/FVuOiz4jSKO35OxkLwaL2zBax JlTv8XToD4xFZGtE5JO7zfAIN3T4JR2L4GRWevHKVpi91Gu+1BKD2EfBaZEp bdgsOnc/nJyDMrqiuse+DrgJCt4NM4vBrQEWi1NjXzAk77Duk3IMEtW9jiy9 2YXDncWsR0Vi0DMQp2Au0417nMJyIawxkMqyPK1Q04M2p1tTc3PRWBWXErd6 O4W7O1pkxWaj0SCz9cRtzl4IRG6f8/4TjWl+oSjd9l6kpwUxMrlj4Bw2pauW 2oe2y5ss27bFwERivMKJ4xsixs2XFdrEYP74E0VNzgEINmCrBdGb+tXXYVvN ABqezVqFVcbAb/8DA6mA7+jwnjo3tRCD6NQnexwVBxEqnvtKVT0WCavb87I6 BrG96aok/zXiTzzjWeTlIZyTZyRsr4vFbv3AU2w8w2AtN5tyEIvD56gMjskH w+A2bzS/6BKHbpP8o5dER6Dmn7CYNR+HRZNk65n6EdyS/iZ2gNwbaWFrdCxc RvF+Q3ZcjkICTDtnbvIsjCK15KuGQ0cCYvgmGm97jsE9cFaDLSQRXOF4HdJP 2EpxtbTWI/w5KN7+Egz0pN+v3MuWhFzz3w9T7jIQlrDC1O1cEs78kDcabWTA pOPfGa3eJHwQDJoNFmCi+YI6Y93pZNBXihyl6TAhvq+b7w/p33V/jc+zuTFh 2dVxvdr+MUZPFj5f/ZCJVQXxbb6zj0EtiBup5TAxmzsqvjEoBRuj3uzyrmGi Nt5Bu1oyFeECxaubvzChJZJx+WxRKk5Nnu3mHmSi+B+zu+w2aYhusQ3QmGQi W79B30QwHb6+H5M1fjJhf3A43LcmHY53F7ki/zBxY/vyveGBGQgwGuJ9scjE m9R83mdamXjwc/LZKGEd6wmhWR4aMvZpL3uwwMQCt2PK3S80PLHxPTY0z8Rk r/afuGdZeL5/vYboHBNbBaxaaouf4B8rjtu8JP9Gl/4C3ZankAoSii4bZsLr mMomx7lnOFz0s9q8l4msMfsUX5kXcDjcF8TZwcRP8eCNTgrZqPMzLGmvZ0JM bm/fSGM2lLzKwnormPheZ21r6/US95f/GVXKZ6LSJTqMWy4HR+5tSW7NYsKw bkZyWU8Our7Oan5OYEL11/UH4TGvcHyyt2dDOBMU67WuZP/XsPypZ7fOj4mB ZNdKD9dcbPlll7PTiQnZnQJmNufz8MN774STKRNFYvvlilzzUcKndrlgP/Fj pvbbx4ACaOyd+VdYiQnlH4WCY/GFoM+rDF4VZ8JNfqv5PFsxmr5pqs+wMJHw yGzc3OcNzMxeBI/1M1CZK9ufwlEKPVuZVwZVDPzw17pkkPIW5ZZclRJpDNxM XJfvSSuDu3fmWtVABnbrNGyfDymHQyV7YdhpBlh22njaXa6A9vrdsiI7GXh/ iF183PEd5Pbd/FYgwMDFtb89Sx0roV81cdpueAwymV/c/FKrsOyy/YxL3hie x+nH0Earcen3tHiU/xiuGImV6+2tQQLrCYdynTHcrb5oYZb2Aco0rc5WnjE4 ZJp/yBb9iCe04qMldaOIuuFiyhZdhz7ZORnrkFFMP7C6/WHmEzhkhc/2S42C tleRZ03BZ8QMsiWmPhtB23LZlLWsTfDTTmyLVB5BYo+aX4NRM7g+r7WueDmM nOvB7o8EWxA6aTr58+wwjna90zzS1IKC/K5LS8SHcd/bfcvhiFb8Pp78glk/ hAUX1fUsJ8i9uKJBt+PqEBLOT4qWCrbjT+qweJf8EB6VnitrbG7HTEDIldXk PvmocybMK6IDmSP6XsXXBuHMqyDAPPIFXgHmSuPyg9glXp9hwtUJea5PLUPN 33Fy997lXnxdeKSTu6f72Hd43bHXe8nzFVEHa7L8Pg3Adb64+uT8V/xNlMjP 0x3AHz71sZ6ObmwY5uMOeP8Nu108rw2n9kDxwj/nJrW/YZ3lkhKbU3SsDhdy lnvfDwPZ3U+TFuhwqfvddPxQP2YcZPleaVKwE91+O6qtD0Ep4/zXfSgYdDGX rj7bB650t5eqNApTzycZ3xd7IbPBZylfLQUJL57ls4m9uJQ4kfuATuFKgdor 0QO9UOwuLIkboTAgEKb3Y55C9Kbjd46PUdCqdOZ8U0xh+57IyOzvFFwc3kkW 3aDQ2MB3/3MnBfbRQwk/jSk4chY0dX6gsItf1tt4G4X0v86r5l9TaGiifw7/ h4KMFt3tWAKFKrsT5opcFPrPxjpNBVK4MdR69dBvOj7niTI67SkMHvrkfWWa jlqzuYUBfQrV4+bzx+bp2Lgl4nIT+e5EnBM6fXsphbFtza42YuRvRPpfLWFh CqwdXBffslKwemecaypHYah/6k1dJx3ne06s6t9DdDkY6B3Mp6PvkAjnQVMy f/4lx6Y4Okp5ecx0LlFwMpjXPn6TjhwF4XsVdyh8rZJls/akw5cht7ohjcRd DNWuvUAHb7qF92vih6Jhwe1GZzp6PI75Mz5RcFBY7M5ypeOhPOsHGeKr+/Oz O+I96Mhz2rV/gfhqV5CXKeFPR4ZQyXLdaQpGFWH6kSF0dLeeWC71m0LkleCw 8w9JnZWlFkl/Kfi6qMhJpNChpGps93dJL/YvVUyWy6bjyOaB9R6svYj28/y5 voSOj9tdOg6Q94wD5veUPtJx80d91bFFCmzs5praHXQoWCsVLvyi4CPmPcz5 jY7tTG/1pyR/qXzoSTDpWHY/gD2fSeHANb+q97N0RNkWPHQZomDdOvo4gvSb ELtmjkQfqW9QaeHYEgp7Kg7qLHZReHRG6VUF8funyokkw3ZS7w2TyzlsFDZa OI+yNlNYYb05TZ6d+LYjV0akgcKREg/1nYQ5nCvaYj9SkDKUNh8l85vaxUyi ayjsFAn8eIjw5IU6RYFqCtz7t7yRJPHXNT4Qu/6OwrXFLp4kFhLHI9WzrJzC B2mt9k6i7/uxgKWFZRRG8q6J7iN9MikZtsWUsH1rencKqScg2vT5bcITGnlT G6boGD3AK6BK1v+V7bFJnyD7H/up7xfh/fFPgoyIH6YONnWDFeScVJs8wRgd 05NDD2ZIftYlKzPPjtBxUWNHxqoqsv+2dgJNQ3TwG3qo6hC9baffOvgPEr9i zlzwfE/hTeWF50MDdJib3J8wJ+diI5Nn7W/if93XgTP/kPq7ezbQUwmvqAlb GVtHIXtZ+rF6wuoRkssb6yko/yr7akzWT/ps219E+mukTkpJ/jsd9qVfHhoR PzfJc6rKkXxL0z09nhD+XmfS7070ZPN5nntL2Hrp+KOiYdKf2fZDIYQ3Lzzb 8JXo39F6sng9YTdflNeM0vHzjD3/IxL/sJtvigepd5hjrIyPsOV91bhBwvsD huVuED1N2fG2Egw6/HkfPuIm3MGY1ZIh7O2tU1ZD9PuX+P4jTrhrxcLxe4QN ow8OsRMON/D7bEPYYUysvI/E09EYU9EkvEFbJqOAcICsiOBmwmo+H1yDCbM5 c9MkCfuFGR40JryER2BuNeFVTU7UBsJT09Op4oS1hDJF54j+wggFdxnCtOor 7rWED/KLr1UmHOE2JfOYcKuZqZ0W4Td3jH8EEM4K0lUz+i//gPdZO8Jqz39s tSf8P9pxneQ= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Ak4VN8bB3CypyRLCxEqEelfklJ5SUJIuzXyk1ZLskSLrOWXNUuFhFSk kq1S9JOQkH0Z69w7izFjrFkSpf878zz3mefz3HPP+33POfcq/+N51HURHx8f Fy/e/2otR8OIHSz4u6JXySF2BvjYX0tpHiywsrSyudU+DVenBsxmPrJAeJN/ 4QH2FLSW0978ERwEKW5N1vDyKQgat7tvYj8I0/MOrKdqk+Cj+MI1LW8QNPrr LFpO/AA/0RL1hYVB+Cqj5zOQNAHWgcfjUu3Z0NpfueZS1TiovKAWDhWxYc7V b0BfeByk93d/pYtwQP1K/8/0/FEYOPVZavYcByR6P9ZQtUbg+pWR4uAKDhhn dW7/08iFv77WkedlhuCfb4HzaZFDcNjcOTXx9BD86Ruxu3OaAzvue02EFQ2B wLcAzicpNsScy/174vcQSI4lq1CpLFg8GVj0+SAXmjoWxdC9B2CZr6m+QAQX 3piFtxEbmfBRS1tmpogL5g7XjCNm6GB6Wq8rGuv6jwWffN5HgxzrYN90Chck LowIPMkg4YlW1hXHGi5w9NbdiecnYKeT9hJ6PBfmNS55hUT1gQ5TL+rGHi6s Kkk2GnfoAQnhD9MCNUNQ08BylvDogq0XgzLHdYZg36+WAmZpJ1yov9y4M5oD t76pp7D2dYA9v/f7dS1s+Lv1qPCHv20Qo+vrsFqYDZQXKjfkxlohv+/+SS+B QUjbRHUTGWiBnyPV3dGzAxB0KCggS64FojVF/x3kMqHeLufg8shmkB+bHFrM YECrjFYZ/7ZmmGy8VhVOp4PWHgvLGvFmYFCs84ZGaJDlOSlpI9sMqyU4FIYI DZxSToXpWzTDcwvC5dA2EvgbhGOv5zXDrJHQQyldAlSM3Af1ZFsg8v1H53uK VODjxuw/k9AC58U6jU/L98PgA64EqLWCVE/BqpDNfWA0zr97obUVFJdcM604 3gueDR/TCuLboEDb0vBjXA9YvcpU2nm2HSRVb11nkt2w3Z72U9uiAwzi925N 2d8NUE07ym/UCT3ZE+3SGV0g56pFcQ2hwA5/odRW2S74yUnlz23rgkPzAQ0Z BRSgKQmNHxXsgf1WIlrrnCgwekYi6uXuXugyuVFiqkCBvf2rRlX9+qAzVnUn H7cTohK2vlHJ7wc+V36z3TWdkF2iTAqyqFBCDjeO53fCmNEcbF5Mwqh75phi dieEWzlO/0olwSYtM+V7TifERc0HLajSwDLVK2fx204w9KgvEMmlwbOLxo+n 6jphhtpGVVxPh6UxhnIFnE6oEVKQiEqkQ3m2If8VSQoktF8l2ufoECNZ6uyj T4GTHW0vS04yYIDaqDyAfY6bqgrBJwYoLFpFedFMgddOUumjUkyQMPymJSbW BUc0AyYEjZgQu9TJL2V/F5x65HB7ixsTwqi/vwiGdoGTxaDGpxgm2E+3/zNZ 2QXdF1f0CLxkQsUlhURZkW4IVNHd6FjBhMMZu/UULbpB7XaHlHorE/R+9W15 59cNblfdA2q6mfBB/fW9jsxuuKcUb5BAMGGlQdkft4Zu8MsMo2cwmDC7Ud3X /Vc3jOy5FSvIYsKZ49utv23ogf7CWIVW9IMxEvZs6oG9RyZkW9DqHk2D+Vo9 sHLaSec72tjgnLmqdg8op1UEVaLpVNlzj3R74Jzw1O936G0VYtkSO3ugUkz5 zlv0ibo6dhD6k32qSDFaRdJGcxJtvPtMYCF67Om9Q5q7esDMz+F9AdpMQt/L Fe39lD2Sjx7ROpX4GJ0+IqrC80PO6HsK+lnAp2Nv0GLKk72Sej1w6rJwaB5a qrpjk3ZhDyzVuvFkCPsfTTAUNNHoBWWjuJrpJiak2izut33aCxpzrBypEiaY Kq0uurOmD3L/G5E7n8wEl9J567n4PrDy2FPL78uEKyyl9RzhfhhW0xBpNWfC 9ZBvJpsv9MPFMLOhz+uZwH9bZcW/3/rh+88sv13zDCiSYXXeW0+FVeJ77Yqb GPCaeH9g4AYVyq0SH2c8YQCdYTKp3kKFDXye2Wd8GMCe5Bpd1yFALCFmVfNO BthET3caxhNw3WdYOuc3Hdr7TuqLDxLASrZxi/pMB5uJ1F/lq0lYdzc+SCKc Dgva/YsLd5OQ/zTctvAgHdwXipIGD5PQH2T+8q0KHbJGXjXNupDQCOcXsudp UOFc92bQhwSD2M/SrzposNCr7fshlIT68CcdtHwaDC9PD/GLI+HuhcZzZ6Np YF0wuis3ngR1NWflr7dpEO295lddIgkfUtT3aAfRoKX+S1fXfRJMFE0YrwNo 0P7a+kfbQxKGl7032OFNg+X7GjKEkkl4OL/B+94VGthuDlyri/Yg1tUOe9GA 6+zlcR6tr1i6zxSt5/5bLBhteNpDdOYyDVKSeT8SLu9dTMlCSw0IrSxEaxjf fHoE/e5lSEQd734f/dpfT8yT9PjYPG/+FUm77NF+XxaNaaSQYBsrt+a9Bw0a Dryzc0AbJ9xUkUZvd20+ueMR1jcMXlt0jgYJumotf9JIsIz4dNDZmQYWy5pY hekkZF3LqVOwp0Guc//bE5kkXDDkVrGP02BzWovGbA4JdV3e88e202Cj+cSW R3kkzLIUm2/J0uD0EX9z20ISzPiWN9+cJSGyptzWrBjz1Zo4OPST4JD0a38E Otut7YlqFQkvFKuujheQcE+hxu4l1rEeNJ9QfYX9Wd0u4+3TeTeGSFoWCUeV Qw0OXyQhxTZe9iuut+yE4HbHEySIE3ntMlEkRLWeTa7aT8Lq0Qr5XzdJiNbf YWi9kwRBXZOKJW4kLFM4/bNUi4SvoXpRTrYksFzWUHQ2kfDcefZ1+AESaBks UWP03NRWXf7tJJQ8yWM44PgHqkItBiokeNWXibF1SCh2czJMX07CoMuDOAsD Et7S47NcFpHwY8ZCetwCz+HAlnNhHAKYFZJRu+1JSLRTkyttIaAgRrf9MeZv eiF4M+4TAZVswbyEayQ4+6epLX1NQMhWumHGXfx+D1cLKWcQUKbzls8W940s txl5lESAndLdZseXJMQyVN33xBJQ59guLlOK9dM7aclRBOwSlGVvqCWh95J/ u0E0AcWxMXn2HSQkO2SSRXEEPPox2pxI4Pq5NNC97hPAUXl95usg7s/lDe5z aQSIplVsmR0hIWGJkbz0cwLO8PvNzU2QsN2fOcDNI2BNYGHa9SkSKkvfVP+v hADj7zoOj6ZxvoJ4elIFAQKpC0fD0LGGu9y76gjotbAuOoXjtwpcXF/eRkBR h+3m4z9IqKDO/C+YIGA60i5FZ5QEGa+5z//heg1MmfnLc0hQrj3bqvODAAu6 VNNVBr5X68zaamYJ0HUh8vLw/JTbcvp8/hDgterKR+kuEjgFjI0afLgOvdJM disJ43zSgd/RiovcnBwbSSisas8rRa98/tchoY4Ev9x4MTl0E5F+90ENCdc0 TQdlFgi4HTgp6l5NQlmz79qcOQLkBWKDWypJkCo+oFA/Q4D4ivwVB9Dlh+ZJ JuarPvizKhkdIDJx7MAYAW7eZHUinmfZQflqtWHcD/+UMws436aDyg/zsL9a 27bXmbx6TXdyBvD79p+jbu1h3K8DUwX2auhk00svTDHfUNn8zecsAr4kVR3f Wk8CZSbjhT3Pi0XmhL7jeZn+cWUfuu/4WfFKdMMh0XfH0a3q3ZvPNpCws5NN jUQfCVmjNIoWFb/2Yxq90VTzhTuuxx6j1ZuCsN4IZf3Fr+ij0Gy9lk2AXPcs /zw6wq3OsBZdXRymsayJBLlUAY4P5t+764GrCLqKZftebogAv/QLmWwc73zl e1YuOm13fGkpmvyU5K7JJSBdXuhUKHqoKcIzDe1SLnrWCL2cGrP0NzoxY/jM X8xXuO1yigmul6P5teCP6BsX7qyLQteu32DA6yfictSeYnRduIfuarRq+tSi SjTfyspbndi/pDLVpwyt6evKl4GOOU0Te4ZeXOsV7YeWSVBVjEAXlCwXdUQL t/hauqLdI58vWKKdPhT81EeHhOd8MEYrHhOClWjwlDi0H20fz5gfw7xP3255 Y4o+G590rhDdWGlvYYd2lGutv4VuS7742xs9u6KEZocWMQruiEM/O/952350 v45rxyt0lqX4PT20cM+oQjU6LDTv5W7025swRUFvSIid4o3PeWozxUTDnxWG x9A7HsbncdHmpTvjXNDBN94KjqC/X/L08ubVv3NZfwjN4ovdGIy+916khvf8 iX+ebYxG/8+npawP7SmkAInoDyYlue3o7H9VO+6jt1hqtjWgHwl+oiahG4ot WN/QRk8u3I9HXz1Pkf6KLrs7sC2Glz9yWJ2Xf1mswZdINL92uxXPgZFKbv+i i61DG3gWr8o2u4MO0ZSM5j3vpx3sFo6GY74BNby8+HKEouXc5G/x6jnadFN4 +Tmnc2/WoZVPTf0KQj9QioTv6I0Z9st494sjs6J5eZfkc2t5lq+VO97Iy9/L tubNJ+Hu/4Dncfmb9WHoJ5mBm3kO6egI5dUP+O1TzHte56RkNc8bWiX9eM7x VP3Bc0L9Wj2e/w89+920 "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.49875, 0.5249999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.51875, 0.5449999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.5499999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVde28JHYo7FrjIpy7YolFixRlhqj0WBXbMRYscRGVNRrRcUSe8Ma gwUkVhRUNOpRNIgoQhAEAREOgoBIBxVFP78xzm/uN3bG/bwmN2+8Nz7/OuM3 5prrzLn3anOtNbfl2BkDJ5ibmZm1LGFm9n9/ly543dzCJdow5tpyw7edvFT3 y9PDvYbcFS5nfvnZSlt/4WEW/6x46uxhYfRH9HwQfaWrn+jD6MPow+gXPf48 YuCE26IPow+jD6M/tFTpKT90vyv6MPow+jD6VherTfrCLlL0YfRh9GH0i8yo 71B00gPRh9GH0YfRf7Kp+umkTvGiD6MPow/7JxZ5YG/0UUOm1Pn81m8Jyn6a m2WpkEDh1JzvUh13hAtT3vBlQ6+TfZOkPEx5mPKNazVvsS0iWcrDyLfmtzkx b/QT4cLgL5p9m/JUGfdaL5s4LcIQ67S/bItxO5Wtoc+A3AV3hPEfdl9j36l1 x4vCbY6vOVzyky3KrXBv1jBno6rjVT5gj5ufMPLSEQdndi6dqGyr7Oz865Lf Rb46tOGORifv/4Epj/5sryMZllsfC8euOTW9eM1UqQ85z0df/utxvk9TD6WJ fejzvGDklEf/dCfD1OBmGfL+8Z/3D/P+YZ63/nno2wNy7Nc/D8qjz/uHed88 Dxg57x//YOS0hz1FX211XXtX3XGYWm5k22R1eUPk7IG+/qp9l1kb1OVUtXDj lEXDv1tv+NQybVnjIR6q0oBHxR9O+EX16Bn9e+2H8argm0l3DI/vqBV3M/oG zU8R+bCVhbaua9Pl/yjf4FTGlw/9H4i/EVfXPv3o12hV4D2qwpa6Cerzdbsj u82/b7A6cWSI1cyZauvx0KbrxoQL590pvSS81+/CJ+JcDnUeHygs44eJHevm 9w5p4yc86fZt42+lfYRp36Ub//xrxncX5H3C+G/ttPlSg75nhB9GHzvv62gQ /RYFqffXDLoh+jDlr9d5NMI98Lrw7rtZw6bH3BT9tBYfPVn/a4jow5SfvvKN Xbv0O8IH9q5sYmYWKvp+xvIpdkHhog9TvozT+l8erQ4TnttvW6ObFSJE33W7 xePaD6NEH6Z8fKM9h4/vvi9sa36gwZa6MaI/9WurxOTMh6IPU/5stKe707FY 4U1RQ7cc3x0n4xHlYcZTxifkMHL+H/7o4GbrwAqXpL3RnvXtFab9wx0SrnXp czBCmPap12f8oP70Y/lBp8zTxD/mY5j5FWa+hJn/YOYzmPkJ1s83jF/4f6D6 P8vW6/lUq8/U3hkvGG8Zf2D8H79+wianY4ky/vmvMqQtsU20YfyDed8w5Ye9 XBS2dZc2X8KUh7EfZnyEsQ9m/IAr+t2pMHBjjIyXjXq32hz9KlTGw9JT1gT3 en3zD/Nhej3/oDJd05Vd/DSn2NwYtWfsb6WvrUhQn3UM7dW8VJhKmjvZWdkn qzpjExxihgequoWGhVZ9n6iFV1dem9clwqbcisjT6VN+FI4a8mT0rID9wmHR m+84bzsn3MXpmOe3TS8Jbxs0PiH06W/CgW6OIV3OBwjvizHMOF0yRLjj8h4O k6f/Ljx7Y9C0BZ+FC5e3Hjy+1dJ7wl93i/6+u1WU8KPkMWNfbo4WtshLnlzW 5qHwg6B2LY0D4oRfDHrZ+klDo3DPwzYn/aM0HtfM3DvY65HwqaVfNT86LlGt C9vhtMguWgVZfbaq/ipNHlS8VCufDo+Fa4ywPb4xTeN2ceVO7fRLEXZpPchq 9pxUef+Ro/ZNGLPvsWoe+aTP3BPafD+z/I7BX54MUdMGNc+ZG63p7z9fteWi b9KEM8qMODrsdZq0r39UuTRhkbX2Pj/eWuvkmLB04eFJo5t0XpWhirZ1XH/Y /JCsB9psW1B0fq3Ey8z3lJf+bmLp7yaW/m5i6e8mlv5uYunvJqa/M59uzNlf w/Nt+0dO+4dZL9w72PbnVKtIWT+wvvB6qRo7LUyU8vr1xIFn9aYrZ+150n9g 1g/iT1raoYfxR1T2kLSzNm28xL6u+Rk/dxl34A/2nryyeNa3U9+ub4LcJlS2 jlA++SkNqgYnqame20vUuheuitaziTq/5LEKdJ2yYdqzs8r52Yy8/RXT1djC n9al+Ow1UF/mwTDPTx1PqIlDPDw2X0pXA589HXXL+ZSsP/g/1huwfj1yIsvu 2FcvjMqzskXrHrNitfXt8XIubedFyfgYW8Qu68HnUWqy7UzHc60S1b2RlvmV HK7J+Ot1o1bH9WWuKcfn327af0ZbT9qt6v1UHciQ+Y3xsm+Zi6mTE+4bWt5Y +7VhiJtN5TLz/WuU09ip2anqE56FCXs1y+3sfStcmPmQ+ir2s9r8yvt3kUf2 TZl64mGI8A9x3ZZmbLwpnBoXELC2/S1h1k8w8yv1H6vbYYZFqWsit67r3WDZ 6KvC6bd67G489rSw8fbApmO9zwjTf2R9ZXofO8tvPnarhLfWft3sEkvFXJH+ Juspkzzv6bjQuYevCU8u/kP8njeBUl7WTyb5z4OW3Cl1K0i49Fn/dNfNoVJe 1ksm+SH7Pol9nmn9M3ZSWNp3b+dFysv6yCT/Z7mRCVVL3Rf2qWFMbXQmRsrL esgk7+s3Kf7hZ7HCXz2emzsvQVsPMb/9WG2+u+vwKGnvkWYXP87YGSnc8R+5 o9o7hwmntT/1/GHXe8K0D+rrOyLlm8ZNQkW+90ur086TQ4Sf3wwo7XowQHj8 s242ifVuC9M+YNqHzM8dvR/Nzbsm8otlOpxqNPuKsNnPA086rfESDnnRo2qV deeEiVeob/ecah8t2HRexg/r5GJn1vW6IjzbffsnBfMChEvOqxF95Nl1YWlv pv7L835ZyS+9fW1tfqq+2yW7a54Wr/L/3dsebfNpwyCpz+5URZ/Wg0OEczdG jU79Pky42/xaN7odDRVmvKW+uKGJs1743RP5lukHyu5fHincss+UC0P3xAgv tj5exysqSnh0v03eq3ZHK+fCUsXzvn0k/jEf4s+EpwHTankmCS+ftc6xweJk bf4yrV+RB/sHpxX5XBvvn9puzSxd4omUZ3xD3sHt3vdJ57X5YGiD3TMyNj5V bZaXTXBIDFKWexe3V66p6uttAfkDq4XIelnWzzVuPYkenapOOFS23HrfXxU9 HHZpbeET5XbpZJvHv/qraU7ZBvVRmvw/8y//d3D+g9TAbm/H94BJRRK//0nF 73UvYumQIetdntdOs5Hpe3dcVi2Xm6cPmPBUBX5Xcl/lO74S/7Jebmc+of+i 1U+l/Y3p679jx800lVTM27HtY4Osp916BcXVGrhdxrNzazt2mPvZUuHd3z9L 3zEmVDXqpja51EpRz40Dpi93D1cdik5ov2jHYxX2XUr7URciVcoor8vx5kmq IMZyxeL8WLWpWniVQXWN0r++upvSMnWAr4H1NMx6GmY9DaMfUPu28dOmm0Qf Rh9GH2Y+ZD3x+TlD3wYvjcLB21e9jKn4WHja7H6eW5s8Ef54ULUhvbtlCIfv zFhqdjxLuN7qQRHRvjnCs+aea3buep6wn0ONFVtCnglXsFsSNS3mhfDorxJa 9kp+KXyyTc9V9XILhd/UPfrgzZs3wvjD+gd/YPyB8QfGHxh/YPyB8QfGHxh/ YPyB8QfGH/1+IOs1/IPxD8Y/GP9g/IPxD8Y/GP9g/IPxD8Y/GP9g/NPvZ7Le xF8Yf2H8hfEXxl8Yf2H8hfEXxl8Yf2H8hfEXxl8Yf2H8ZTzCXxh/YfyF8RfG Xxh/YfyF8RfGXxh/YfyF8RfGXxh/YeJvn8GW9+p0yBT/YfyH8R/Gfxj/YfyH 8R/Gfxj/YfyH8R/Gfxj/YfyH8R/G/8lXD1XZuihL/IfxH8Z/GP9h/IfxH8Z/ GP9h/IfxH8Z/GP9h/IfxH8Z/GP8tmjcaUswvW/yH8R/Gfxj/YfyH8R/Gfxj/ YfyH8R/Gfxj/YfyH8R/Gfxj/7+4+um1u8VzxH8Z/GP9h/IfxH8Z/GP9h/Ifx H8Z/GP9h/IfxH8Z/GP9h/F9dokVYSu888R/Gfxj/YfyH8R/Gfxj/YfyH8R/G fxj/YfyH8R/Gfxj/Yfy3mX26kv3GfPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y /2H8h/Efxn8Y/2HjjZHPe2fEyf7KUo+67kVKJApbuDwZ4GuRInxxnPfr6dZP hZvtvxRe8XCm8MJNllbpp7OFby9xWXbzcq7wZzNSIg8F5gtPGdWnxdJ7z4V9 +5xyGWksEC7ZuUqMdfor4aFW81tVLHgtjD/68zriL+JH/fki8QvvX/YTTftD n3yckDc8OlP4+lyHtrdrZwvPe5Qy22Z8jnDzAdN8vDxzhRMuZeb842mesL69 YC/tBaa9wLQXmPYC015g2gtMe4FpLzDtBaa96J8n612eH+sH/GM+hZlfYMZb mPEHpj9yXlk2Z+m6kiEZcv7xWUFycHJmksSH7CfSftlPoH/CnBdxfkJ7IH6m v8OcHxFfsp/SLnrvZC/7YxKfwcS3M+vEtLLs4i28YY7zNIsOBwzsH1EeJr5j Pwg5jJz/h+e4Ddp9IfShnH/9aFh/sH1e/B/Ox7zqGPsXnfRIRZ7IelGpyCOR N9o3pH9GmSRhp/XnPQI/TRb2X1ir0L1eqnDlqc6DnFumCY8fmfiLfad04eHu 9cxq1ssULvKT3dFSTbKEPbettnvWIlu4/7oLRRLb5gg/X552LPSLXGG3BRbD rnTNE+4xq/9HJ3rmC6dPWXZiT59nwq5jfYavGfRc2GZEUtG5w18IPxrwqdf4 7wqE1/XqPXLghJfCbbouLN7l+1fCMe1PnGrmWCi8vGWcfY25r4WbNqpYstSi N8K0J+IH9lP05/W8P9or8TDvk/N2WN//GL+Yj2DOSznvR5/3jz2ch1If8R39 i/sGMPVRP/7gL0z7w378g9kv0u+f/Lvnl/rzRMZP9u8YP2HGT5jxE2b8hBk/ YcZPmPETZvyEGT9hxk+Y+Qn+d89Dfa0OrHze5c+fh4ZeiLb0f+FlgG93WbYx 7DcPg/488H3P8/TndfrzOP6vk3XFagdPZAobH3qHlS+ZJZx5YLtdlRyNXW3b VV5umy3sUa6666p2OcK25y8Mytuk8YiFe8NfLMgVNmtgs3ViuMblU2pXmXol T/jslquh96vnCzMfw/r9Ns6fGsSvPrHqv5w/vev8Tn9e57fZe+1nwdr+JvNn E7sD/Zff1PZT9fMn51NynmKaT+W82DSfwsynMPOpfj9Wv1/6vud9f/n8zeSv zJ8mez9ZGfPlwpVnhPcNLrIjZNgew//v53OMp4wfUWU7zkmb+1D1rlTQpMi1 ePW4yq7Wq4bHyXmEfv+6XbHCNWMnGEX+YL7FpU9c4v/l+QXrf/6v6eRllVI3 JUh5l9zRcZ0dHwmHJ1y3rr4oSXjBsKTJv+1NFCZ+oL6bPXtfcfN8LPK6dxut z12dLDzLb11C8LZU4ertTlRd6JMiTPxBfRMbVJw29MoTkV89ldnhqFuacIX9 gzetPJYufK6K07VWt58KE79QX7FiUdU/iczQzn++ts9paZ8pHKk27LMYmyXc pMDCNzdLkxP/UF9IVv9xxmda+aXtrvQqMylbuFGL7NwX03KE56Us+ySkUJMT P1FfnXif85c+yhV5SIN6bo9naTzPwu6b8Pl5wgGRSeOPltKY+Iv6pod8Wn5X uXztfVVdne+3RGP/shf2e7k8E64a0PvXlVU0Jn6jvsuGhQ6zazwX+fRiabb7 1mpctbDW87WbXwg7nDtRYaylxsR/1FfmZNzFfg0LtPef2+/g/B0aj09z7jvx p5fCPh4VJ3VupjHxo9xn2te9UtPWr0Re5pH3i8EHNfaJTjzU7ZdC4aKuTpc/ 7aAx8Sf1HVvvObm4ei3yEXer9W95UmPzW71e1jrzRniwS1Tl3O4a/13nc8Sv jKcrG2f7REzQ2DXtrnVM/ywpT3wr87frnNxeR7T5xnb4UKe+27OlPPGvzOfm L1pfTNf0zfyjzly5nyPliY9lfp+xcFbz1hqfbTUqr5VFnpQnfkZuH/PmtNtc jaf8HN/GfWy+rK8ZL8MG7Rx1zyZWmV9Y1mOJh1Hpz//091PedR6oP6/k/+OW 9H82uYy2/836lvUozHoUZj0Ksx6FWY/CrEdh1qMw61GY9SjMehRmPQpjP+sf 7IexH8Z+GPth7IexH8Z+GPth7IexH8Z+mPUy971Yn8Ksb2HWdzD63A9DH0Yf Rh/m+cHUx/0y6oOpD6Y+mPpg6uN+GvXB1AdTH0x9MPVxv436YOqDqQ9Gn/tw 6MPow+jD6HN/Dn0YfRh9mPUW8SDxJEw8CRNPwuizfkcfRh9GH0af+A19GH0Y fRh94j30YfRh9GH0iSfQh9GH0YfRJ95AH0YfRh9Gn3gEfRh9mPLEK5SHWd/K /piJ9fktsOSP6OTcX5P9XpNc9k9MTHuCZf/QpE993G+Dub8Gcz8N5v4Z9SGH kVNef7+e+JL4RPbjTc8PJr6AeT96OfM/9TG/Ux/zN/YxH9A/9c9XP74il/0o 3fOkPPqMjzDjG8z4BDPeUB+MnPEEOYxcny/G86F9wuxfkU8Dk4/Bfhr39ZHr 80/Y70KuzzdgvxDm/8U/U/3sf8Psd8PsT8OsD2H262D282D2hyU/xxTv0f9g 5lfiN+QwcuIx5DBy4ivkMHLiJdkPMDFy4h/kMHLiGeQwcuIT5DBy4g3kMHLi B+QwcuIB5LB+v5fxhPkYRs74ghymPZHvw3jG+MF4BtNeye+Bye8hn4v2SD4X TD4XTD4XzPgBk88Fk88FM15jH6zPF2I/SfK9uB9q6i/sZ8P68xzJRzIx9fO8 9P/H/ib/J/c1TfVz3gSzPy75l6b4TPINub9pKs/+Ocx+Ofrsj6Ev9zlN5fX5 S/rzKPZb0Zf9V1N5uW9vYs7TmG+YD2C5z2FqH9+UKpVoWUmbHxi/aY/k28HM n7Q3njf/L/kQJmY9BbM+giW/wcT69Q72016zBvb8LXmmdh+F/oh9ch5n8of5 Bjn5eDxf1ju05/gW5g6df9TmU/38ynqH/uK618X95B1tPUR5+kunpGsuTlZZ 8v/kI8I879wGny92NT6U+TmuXJOra76N/0P8w34j8zPM/AwzXsA8Lzj4C4dO W8YaZf4iHkROPAgTD8LEgzDxIEw8CBMPwsSDMPEgTDwIEw/q/RmX4/tZ3tO7 qnTeuOEhPxhl/VDVYF3qU6d4pc9H/+/Kj5PxokG4X/V52nq7pWHO9contfX0 +TBVcXiQtl67siIlKTgiR1UrvrB8o45GVXDP/ZMeZr+oXbPruU5bbVQtbYvH 1gmIUCWC11Wx3xan6saa+96MP2lYdbNf4NRrcWrT9eV2L385YmgXPq72Bd94 tcyj0+rs7c7/6/PnOl1Oankn0Kj0+SL/Kp9uZNXMoMORccqjzAyX2LCHqsau DbNqX41TCxr3u16myl/Pt/ur+XXvypd7V37cJs+gKiVenZHxxnfq6xZmO2/L eHlgRHIjh0MRBqfG/bZfGJmjXs9wyzn6OOIP8UDUAe+tq/e5y3jJ/tq78uvG mDXt53DZqPT5RH82347/b93xxrLyztr7/Ff5d8fbtznduGKcNv+8Ix9Pn2/3 rvy6OrHmP9zfcU3Ge+aLw5WfX29YLUtNzGpuF17HqHpXGDi48NAhpQIiii32 MyqHzPW1XSrdU2dn1ugzvuF5g/3wycF3XmSqdb+bd+mzM8gw3rtx6amfZ6th dVqt3jrpoTzvXps63ptpoT3/5ecevBmzwKhenZp5ZMqZ0+qLwx23OXgb1XTP EutnvvJVN3uPbVvXLEHlF8t2ntDWT63pmnQ0uESC8v0oZobl4LvvnQ9Ys8qc IIfsWJE/GbJ2xCfj9xtG9Gl9efawTHXsxeYei95cN1SOjlszckeWKrpqd8UN ze8aFkdN3FE5IFvtWrLPyraJUezX5wvq8wEvnfHqPtIzXuKTCoWVCj3S4iW+ ZH5021NrVF6JPX/IH/Ts3djWpohR4u1fGvg9tgiMVyWXpd9vnh6tmiY57vE8 8ra+tU5W6UtiVPduhbvb+Gj7D886f7uqR/s4lWnmEFfzho+B9sX8os83LTYw c0e1c8fEP8v+kXM8Knv8ob+Qj8n6l/p+PPBxerPJv2rlD1Zb4nDhsnDBhhq7 3NbdEF62YXv/oo9+U382f4/1Mf9/+Zv6Rxwr3ZH6rG2PZpe9GCzsu6KWx6W8 u8KLV0Q5z7DUmPU19dUcd6B5gw4RIrcblzhwdtlI4dyux980qR8jfKHrlOiY /tHCxJ/UdzM9bqbZ7QSRP55uvryh9SPhdqMc7pt3SxKuHtv9RnREojDxKvVN DPKsdS7hschd+gS2iO2TLBzeqfnK88NThc9dLDN7S0aKMPEt9RU7NjNw2ssn Iq9rtSVm24Q04Vk18lvNdEwXHrInrE6vEhoTD1PfwK/2frGlVKbIRxc7ft3d RuOShbEztnbP0tpHpztJS8ppTPxMfW5tzLZMq5Itcq/c8jWce2s8LK2b//T+ OcJfW7XqPLKGxsTb1JdZd3zy15a5Ijd7NNvR3k5jz2iPmr3t84R31nDdat1Q Y+Jz6rOpFGBTr1m+yPvejbzRbqzG+YGlZ9Wf9Ew4qXRBSoXWGhPPU98Gc6vt b9o/F/k+v04WlaZr3OPC9Jtms19o7b3g2y5PbTQm/qe+mKyNT6K6F4g87ZTb 7PT5Gm/7JbR2zJKXwitSrroG9NaY/QLqs4rP6Xq2/yuRd9pf9NZNF40f7bR2 Ore2UDgssv7Tg3Yas79AfQtDhu7cbP9a5D9ummTpvlnjVqt3396y441wvYA1 Xy4Zq/H75vO2t+22+YfGCbJ/YdNr3r4pRRJUnwETB/Uc4KfWnrm1sGjDBOXi U297TJK/KjJ9cN+kdglqqJP5/dA7t1SC0dc9rmmCGuNWxr7r7RvvnR9ctXJG zx+bJcj+SGHxJl9Nbp+gak1s3qta4W31ZWxB3NkWCepVixWLHP8ZoubYVFw8 qnSCcuixq8fOz++qyYvmta759v9njx5vl58f8rfnG48Z0GrRkf5GdcfjRPdJ je+rlFjrL5u3NKqOFg0fnkm4/975yCPOn90VFRIn+x1f/CMl9Zt+carRT4PK Bt//kK/8IV/5/52v/D8uP/kd+cQvatRJWOwxzuAQsXhz/+KZ0r4vhi7vfntw jirYsC8iu364wX5bE5fHpXJU8qzt3zxxCDd8PLJcgW3FHLX/WvWug/3f9rdj UQnuE36V/aGfu4yu+ebiVdV++qTrvkaj7Gf9ltDOyuPt+pl4ZklHw82Gb8cX 4hfnWZt3hZdMUPrvA/F82f/KuDf4Z9tF8errrm/WfjzMVfaTKN/o9j9+OlE/ UxUUWK66VRBi+MhtoU/9Rdlqcf3jg83MtPMx9rdOr+uf5bcqW/rj0Eveztld spVxz09Jv/4cIvtfjgEXg8K+jFeNggNiN5x1Ndxa3qbY7yFGVb5Y2eykneHq 7iJHx6+Gvm3nL/d0CUl+oLoVXXJ00kMvw5U67be7/5KpAkNrenbvcdMwpeY3 A+4+ylKteoyt8ezaFYNDRqp30V5avhj7Uex/wOx/wOx/6M+X2L9CH0Zffx8T 5v3p96dg9qdg9qdg9qdg9qdg9qdg9qdg9qdg9qdg9qdg9qf09tK+sBfGXhh7 YeyFsRfGXhh7YeyFsRfGXhh7af/YC2MvjL0w9sLYC2MvjL0w9sLYC2MvjL30 T+yFsRfGXhh7YeyFsRfGXhh7YeyFsVd/P4P9D+yHsR/Gfhj7YeyHsR/Gfhj7 YeyHsR/Gfhj72a/Bfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsZ/9IuyHsR/G fhj7YeyHsR/Gfhj7YeyHsR/Gfv33TvX3L5g/kMOsv7gvzn4zjD6MPow+98vR h9GH0YfR5/49+jD6MPow+zH682r2Y4j3YeJ1mHhbvhdmipdh4l2YeBUm3oSJ F2HiPZh4Deb9yfddTfazfwMTX8HEOzDxCu1Xf9+E+ID1Nfu/PF+Y9YTs/5rW VzDvR5/vyHwO68+79fM1/tK/YPoXTP+C6V8w/Qumf8H0L5j+BdO/YPoXjL36 9yHfYzaxfF/ZxIzn+K/vn+zH8z7orzx/+ifnjZwPcp7I+o58PtarsP57ouhz 3sh5JOtJznfZT2W/FXvlPrCpPv6f8tJ/THLq53kQH/M8YfT5XinxDf2Z9R7M epr8SpjzXOI9ysOSX2mKxyS/0sTI+X+Y58nzIF8SJl8SJl8SJl8SJl8SJl8S Jl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8S 5vly3g3z/V2Y7+vCfF+X9sX4BtPfGP+Rw8iZD5DDyJkfkMNynmSaL2S/xsTI mT+Qw8iZT5DDyJlfkMPImW+Qw8iZf5DDyJmPkMP6+xr0f8Yrxn/GB7n/byrP eAJ7GAKLjjyTI/eLkFMf+QDUJ/kBJn0zp3X1tg3VeKRV3+5BL3JFn/wA9CVf gO8bG8uNL75X4/K7fl+ubLR8AX0+vn48ZbyHGe9hffzPeM74ynjO+M74SXnJ 3zOx5O+ZWP99Dd4X46f++83cT2H+5nnC1M/74P3Qf1jP4x/3zbCf+lgPwNTH +6I8/8fzQK7PB/5wv+Xvvd/yvz1f+u++L/OufOn3vU+jv4/y7943+bP50vr7 He/Kn37X/Y//dH41/Z3+rD9Pf9d9E/19Ev19kOmhi3NL/pf7Hvp8Wf19GH1+ 3Lvuc/zV/Ou/eh/kXfcL/u77Iu/KH9bnE77vfRB9fuGfvf9BvuL73v9433z0 d90X+U/f7/hwX+PDfY0P9zU+3NeA/9P3L/7T9ynedd/hXfcXPnx/4sP3Jz58 f+K/7/sTrG/k+4bv+X2H972P8Xd/D+Lvvu/xP+2+hv4+tv57H/r7HPK9q6Mj L6zIm2XQfz9If9/j/wAFGAQz "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl1dwVVUUhveGhBJKQhJAgUBuSGgJIRhCCShVFCtiBYNAiBQJIIhdRFFE HtQHdXyw997H+mjvvWFhLGOZsYyOjo6Ojv7/rC8jD9/sffbZZ5+1/lXuuYX2 jYs2dEsp9cgpdde4SLSK0eIO8Y9YJ44R08UYcbyYIcb5OaFHk8/oyehz+nDP ayWimOulok30EovFCaJI9Be92btWrBGVYoVYLvqKctGPvRWMpeJk0SHKxGD2 +f5mroeKU8UgMYRnSrCxjdF2rhedYh9xhpgpGsR4USWqxTniSDFBnCVmiUa0 mIEvBfYPF/uJkaJOXCp2ihFiIuf53qFif1EvpojJohbNStClFe27EYdx6JzR tXivGPRA157suVi0YEMP/PW5Y4mzz5gkmkUN7+uP1gvFbPzth7YD9opBOdpX oOsAdB7IvcFcb0b7QcRiX/Z0Eh/vW8NYgR4N6NiMHgX0noCGVaxVo2sBzXeh dRP3atF5B1pMReM61mcSw+HoUop/y5lbr2PFUWjWHf0d6wOIWxU0cM6cFHlT zXUjNs9NEfuR6NrE+oEpcqWOeIwmnjX4X2CtlfWDiOko/JvMmQvEfK4PS5FP taxN5Xw/PwY/PE5nfrCYt5fe1by3nnhUEb8BxLaReNj+SuJXQXxms+4cdC72 wu85nDuJ9zXj91zsb8YGv/9w/ByFHwvwy/YeRwzm4Wcte/3MtBQ1uhBbxhK7 Lv2Oxm/X6yHEsQg7rcMRKWrSfru3rMa/FuJUhx3zmbtHrUzRf9zflqXoV2Z5 ivzp6jVec987EU1K2VPGdRuatXFWX+xazP0ObKrkmQ7O2CqW4Mc20c6z7djX ZcsKnrtArGK+hPOLiF8H56/iXWXE0jXmXO6qVffJjeIiMUxsFxtYPyVFH/c5 F3Jdydo69pjO9H+PcF9wT1jPuT5zC3uGcfZ6npslzia+rt8zU+RjA9fDOW9T il7jd2zmPacxH8roa/cm5/jpnLGJ54fw/i3s78SGYWiwFnucg+emyFPH9nzi tYx4WP+V6G49V6NLJXps5xzXqHuU86qF+SjGHcwLxMK9wTl4Hs+537gfuU7d /3axp4lrx9D5vpVY3yb+wpbrxGvcv0n8hu03iF/w6RbxB37s5MwafD0Jfz0u Zf6heDZFPT1q23LU/dXWOkftfiam5bB/hsZrNV4ipue49vxKxztHTY/W+FCK ntGk+cQc/n8g7k5Rs5+IF/F7iu6/g26vOrY5+sRkvzOHpi/5fo4e9LzjkKNP PSfeRNP3xXsp+stu8VEKe2zXbuYf826/t1brD6ToeY+LcTni+ZRtz9Gj3hVX pMilz8UXKfrUV+LLFN9idwn/ILgeJmnck+LZQZrfS8x9RmmOcx5GI+tTkuO7 zvldprFvjjx+EPts2xvi9RT97ioxMkfvvh9/7EuN1go5vn2s5TXo2ai1CTny /h5iUE+cH0kR61fE2Bx9s8o25vhuas0RA+tfn2Of9wzRfGiOer4PP+1jc474 OXZ70NE6ZH+35qjXgRorc3y7jdBYnaNHlGusyFHb/TRenqKWrUd/NOmp8bIU 9W7NeqFbXY6ccD5007xPjn7i/H05RQ6PyZFDzp8XxFsp6qI4h3227W1qwJqM 19oTKXqFbemdw55fxY0pasi2FOWw509xa4p+/DR5YN//Fren6K3OqSfR5Hdx c4re77x7LEXu/SvuTNFHvxc/pPgdfcb3c/Tx78S3Kb73fxbXp/h9+Fp8k+K3 8yfxY4r/AZ+mqGHX7+AcNeN6+Q+NyuaZ "]], Polygon[CompressedData[" 1:eJwt1FVokFEUwPFzp2KArdixiTWnM9mcsdmtc8ZQUXGiouKG2L0pCsaD3d1d WNgBimCiog+C3d0d/8M5Dz/u+e5XN865kWkZKekRItIL2XEOV9AOHfESb5GK aDzDbDRAVxQMIkUxmjgGJYjLYCxxDZQljsJ44lhUIN5FWxNNkI/rvChFPBLb cNv/XQ2XMReNfEwn8RVpmIJT+IGByMRp/MYQZKEI355Hmyg2xtJcz6dNEhvj cixGS7TBUiz0sSVjGRahOVrjDP4hHVNxAp/QB5Ox39/RZ+viGq57HIWLOID2 /s0luIUOqISbOIr63nfYx6hji8M9PEIKKuMYVqItGiKS+S2g7SS25nd8Tsne dxzv0ROTUJznd9JWR1O8wH10RjcdE/f30NZCM/zCZgzFYLzDarH86YGneIwq 6ILv2IhBGIBZeOL3EvAF69Ef/VA+WM5oroxDPHFcsLWZDiE+SzMNGajH9Q3d V+/7iLXoi95iufoK3cVy9rVYTkd7319s9W8NQ3a+lwPDiUviKraL5WJj5OZe HowQy9lcxDmDPat9+YkLBMtlHVOpYDWhtTBGLBdLBos1J7MRR+gzYv/8KZbD Wb5mmvuFuD9KrAYKB6s5rTXt24Fiwcame5hIfF4s12ZqHnGdEGzt4jFH14Hr GZ4v63wPdO21pjb4nuleaU1t8j3XvdaaWuV73sNz6KHvqe6l5uQa3wNde62J FWI5qv/Sf1bl3/toa6MFtvge6NprTcVw/5DuK1rhjY9Z30/13HoudvZojl3w Oetc9Ux5IFYjWhuaw7W4d9fnPlGs9ssFy60kfBM7QzLFcvCPWI1rbWuO79X/ BMt9HfNuVAxWK1oTBzU3gs1Fx/xZ7IzSs0lz8AjqBJuL1rTWfg2uJ4idAbHE 1YPVtvZdEqtRrU2t6Q9iZ4yeLVpjelbVDDYXPbP+AwAdpUI= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHl0VtUVxXMPrfNQUWtb0QptrXaeWztLEIgJCSEUUXEeCAJSEJAZxIBV KaSIDSAyz4MioEyiCCIWQUhAVEAQFRUBh6ooUq1nr/N76+WPvfa777vDPucO +36v8fXd2txqBQUFn6eCggbO3/XCJY6WXv6ec1Pn5o4Njp2OHY4m/r6xo5k/ /9D5GMd7/vwT52Md7/vzz5yPc3zgz2c7X+p8meMX/ny847/+/BvnEx0f+fPv nU92HPbnPzuf6vjUn9unaFvs+Ku/+5rjiD83dT7q/JnjV/58guNDf76cuiWO zo4OjqscHelLv1/paOUo5XdxGfXErR1Xw+WOa+A2jmvhCsd1cFvH9fDfHP9z tHPc6LiJZ8V+Mywdv3O9Jzk+9udKdF3h6ARL4y1wB96VoPuP3u4Uxyf+/BXn zc57HF2IQdr/jj7pKlb+Lea4yELXbY6e9TQOdnSjXTfiVPte/C7tvWHl8nZY 2vuhVfkegI6ujqGOHox1rsXzHY5BjlsZpw99KO6BtNNvYxx3Oqp4dzXz8E/q qY9h6JOu4bB03QWr73/Afen3GmKrIn61v5vfFcc9cH/HvbBiGsmYytO/HEOI 5Queq9Gb5fU+4te7EfQh3aNpN5QxO5G7+9GkmJ51LHUsczxIe8U9ltgU0zhY 2sfD0v4ALO0TaSftE3invgp8LkY5T3LMZOx/O6YQh+KbCkvvdOLRnCx3zHbM cczgndpPTtGn2s+ivxrq1qB9Dizt89AtvfNhaVwAK+6HYMWRLPQ+7FiIdo05 l/7U1yO8UxyLiWGaYxHvVF7Cu+nwaGJ7lHczyP1M4lgGK47H+F2/rSAejb8S VkyPw4ppFayYnoAVk1nE8aRjdb2YnoIVxxpY2tfCiulpWHGsg6X9GVga18OK YyP6pOs/xKM53AArjudg1dtE3VXModaj9tbzvFMcO2mvdlvqxVELK446WHFs hRXHNlhxvAArju2w4ngRVhwvwdoTL8OKYwcsHTVo1N7YhS7F/QqsmHbDiqOB hebN9fpS39rrOsN0fn3f6xQ6t0j5uaA99gbxKI59sOJ4E1Ycb8GK421YcRyD N8rP9vNO4x5Ag/J6iBikXf57ifPFKfekq9AmT5Y3y4elUVrfoT/1dSzeKy88 Dr+VfzSy8GN50kn4rfo+GT+Rz52C98rnTsVv5XN9yYHOnRPxLvmlPFk+LP87 Hh+WT73OOtiKDnlce3RcQfkgce+izZX8lvlxB/KldvLOzLNV713ytDvlPq0c ncCdojTlvnsTfXSkrLErKWe+W0k9eULPlHter5T7cSfG70y5HW3ko/IVeZp8 Rn5bhOdlnjQ85XeF64ivC31Jd1fKNzK+vCRb9y+l3Hd785u8ZSg6+jE/6qs/ ZfU1gLL6Hkg5u7tcSzxq1wfdg6inOAZT/raFfw9BVxVjZ76b+fAwfqukv/oe rPh7oFf+l92lNGevptiLW1Luu9pvOhd1njyJJnnZCDSNpPz/FB4s75E+eVY1 Y4ymrDHvo6z28pQJxDCG36Rd5939aJVP6VzJ/FUeI2/Rmbww5V47Hr0TKFfR xxj0TWS8UbSflHIvnI0m+dBUdGS+pPYzKKu/mZRfS3HO1qXcp6egfRb1qnk3 OeUePAut8qa5KffdecxhDX1kHjwfrQuZh3G0m5Nyb16Q8rvIWMZcRI6kazFl 6ZYfPYq+pZQzf12KxuWUMz9bR/wqL2HsFdTLfHdFyn13Zcp9dHXKvXMNY2gv Zd64njEyH3065T69KuVeuzblfqx+tX9GMOeZn21NuY9uQMdGytK1ibL6fZ7y NMZenHI/lhdprWsfbE65p25JuafWptw7t6XcLzP/3M5vy+hPMe+lj9qU+3Fd yv1V7bUPtf+7pvzuIu3dfd9X8d8h87PM38TyPZ1P8h55mrznAGWtee3NasbZ T/tvWOxb/X6GxX1Ua03/Zc7i/8zpFvVUR3W/ZdFXibwPDzvT4l6o9SkPOcjY 8vev4/GZN+8jbvm3fEnnsDxL/9d0FsnvKnh3lPelFv/ldB5/059Po9zWuQId 8h/5UObbh9BRxzivpfz+8QrzqvNuD3Oyl3Itdfem/G4hrfIXxSofO8fCv9uR Bz0XpfBnebBiUi5PJ2/Sehr15cnyRXmivFH+XUbc8njFrruA7gHyUnm77ge6 G2xy3mjxn3WzY4vjIoc+HDzs+JHFWt/FPOgeoTuE8qp7h+4E8nbdR3QXkf9r fow50pw3YN5bWfhN9xS/n8n8NnQ+Dw/Sd4fG3M8U3znEqN/kU3ewXhqyZtRn IR6mdk34vvFVizWnuajgO4buGrqj6f5UzPptyLhaa2ewVs9D5xDWzRHWVDnx K/asL/VzvsV9Tve2CyzucLq36Q6n97rjaT2VMKd6dz73P9W9gLbSfyFtWzr/ wOLbi/T+lDuf8v1L7mGazz9wt9P8/9ry+f8td7hCxmjKnF/EvVD5+LFFDJrP P3EvbEY+u7PuLub+p3X0F+6L51JHnt/Gos3n7J0WaG7E2ilijTcn/60t7k83 pGive5TuO2rXkraqo/1ZRN1i6regH/VZzm/qo8651uI7k9bgzy3WpuawFWtD a6At/X+HddKMPFTwvgV1moMKNCvGcmK+kHWmNVbGXmoNDrNGitkPJUBaWgHN W2nK96r6sAbutRZ7u6tjrMW3On20u9NiHyjHbdBQSFyaoybUlZ4HncextqY6 JrK2Zjumoz15n8PZP41Yk2eTy9bkXLkvszhjyhlX81tIHpTzS3nW+zLa3JDy 9jpXS+lT77c5v8B6fcKxyuJ7oe6q2XepSV5ux15QHA8Qy+uON1iLbzn2k4+3 LTxMGt503mfx7fA9R2+LPf2QY4HFt8yh5FT5zP5D6ly7y2IOlP8xjgMWa2eg 41OLc2S+Y67FnrzN8YWFdw0jp8rnO46OzEtfrUGLc268Y5rFft/lvNPiO+hg x1GLb7Lqr5I+P3buZ3FuHnT0tDj7pWUAeto7ZjHvI5w/sThrlb8J5PBy504W +6W/Rb/q83ZypPxc5phiceb0YjyN9YhjkcUZcbPjFuZRa2oy6+pex0cW573W 10zW2CDHZxZn8CGL/Cq3jzmWWpxlSxyLLb4rv++42+L8Xe5YZvGNWdqHoF/j d0PDPc4fWPhHZ0cPcj6SvCgn1c6jLLx9peNxi3OhxtHF4gx40bHd4pvrBsdz Fufmy44dFmfihxbjaaxnHestvm0fscj7WayLeayNjmiSnr3Or1p8255BrpXn w+ROeVvteMriTFcO3iUP6xzPWJzpux17LM7ftY41Ft/Ftb76WKyxLwE/yCkf "]], Polygon[CompressedData[" 1:eJwt1FVsFkEQwPG7obgVl0CAQghS3F1SaEkfSEh4oHgLhAeguBOc8IJrkLSQ YMHd3d3d3QIUWigUCPwnMw+/zHe3e9/t7sxchcTkToMkCIIEROAzFyP0Bopi HdajKuLCIDhFPIeGyOB6EXEhyqE8ruAGmuIH4xnEMRAUx03cRXNkMn6UeBL1 kc71eeJlNMZ3rjcSN+ALv6sR+2MeSuMf95YTl6EdvysTZ2GYj5UkfsUohCiG FVgpNrc9cw4Qj6AuvnE9Q2xPupfCeIE3aIssxmf6O/S/i2AxBqISonxt0/1Z XeMqrEYVxPL8buJ+1Na1cf2R+AFDQjvDLExABLJjG3ahJtKYM5W4AGVRyM9m C6r7GaUSU3xv+s5MjEM2lMBarPG1aE4Pozty+xkk69mhI5KY85T4GL/43crn HkM9f+a4WA41d3ovCU/E5hbEGbGa0VppQPyDyVpLugYsxUTNn5/hDt+z7rWG r2WwPhfamv6in68tnvgbs8VqU/+jGw6iDnLhkFiONbd6LwHbxf47Bx7gHn4y 3oJ4UawGtfYaERNxX2ysAHrigthYXlwTq3mt9SbEXrgq9jsfbovVvNZ6M+Je sRrQ3Ncijtez9dxozrtij9hYTj/752jtOehBPC12lnkwVt8t1lua4/d4p+fE 3BhiH7xEG0TiOnojv1iPnvU96V60py/5HnTt2oNzMEWs1kqhM5agImJCq8X5 KCNWk5rbTWK9Gue5m+vPag7v+JnqWeo34DX6ah5D67EBYj0V5e+Y5jmP9z0N Jb4V25v2zEOxmtNaa4kTYmekZ6PflNFIF+t98Vw/8rma81diPa69rWc0HJ/E elu/gSORJvYt1G/IVnRBB+ZH+971AxrtZ7BPrAa19rTHn3kOIj2HOz3Hmlvt 6c1iNam1qD08SaxHYv0dmqtbYrWjOfsPg1Gxbw== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmYj1UYHe77C4lEIcmWhpkyDWUpI8pMyFC2CmlKRElKtEfRvqloE5KI Slq0qKgQKiVpI0LW1qd9X895zvk95o8z537fXb573/e873t/03jwqN4XVMzJ yVlTIScngS/Hn6FAS+A+oDKwP3APUAmoBbwP7AbmAJuAU4EETAICqAE8AFQB DgDuAjLAfsCDwN5AbeAm4EKgP/AwUA04EJgOVAXqAA8B+wB1gUeA6kA9oBDI Bw4DbgFGAwOAycBeQE3gNuBi4HTgDuAMYBDQDGgMNDHXBw72M7kBcCbQEGgK HOp2I+Mgz6ENHrUd8suNPQLI87uBHs/5Z3lMnu3LvR9u5rxcYB4wF2gODPbY Ao/L9d5zvQ/u/Wz3twJWA28DPYAngMeB1sBR3lOhnwv9/XM8rw3wPHAk0BZ4 CrgaGAa84vntgGeAccBw4DXgVeA4oCNwDNAe6GQuAjoDx7q/q5+LjY4e+xww AjgP6AIc73HLgWVAifs4pgPQB+gJnASUeg7XXgWsBLq570SgO3CymWN3Atv8 7lNgjdejhqndfZP0Sc1Su9Q8dUQ9UcPUddhOBbYp9UZdZ/ydE7wn6p9xw/hh HDFuGD/UM3VNfVPz1DX1TW1T+4yBrBbpX+qa+qXeqOVB7qeWT0vSKvVFPVBj ZZ7bwHMal+ujxqg/6ot6ysZBVlNz3G7isdRlvn3Y2b7JTXs028jPHJtnexR4 TqGfOa6lnwtsu1buO8rPWV3yeajbnENNtvF46rCtxw9xP/dBjbfzXGqW2qT+ zk3SL3VJzVJDRT5/vvd7AzAxSVtZ7VKXL7pd5PkdbQPmqgG2N98Vl7NLF/ue uqP+erqvq/uWuV3scd09ln2lfs7qlfPfdrvUa1GnvYGLkvIl90D99vP7bR7D uSs9j9/blaT785PitdhnGw+MSdLQxqR4GAks8vk7+Bs8b32DOqT2qEHqr4HX KHN7XVJt4PMlSTmU9r40KffR5pcl5bWCcmtx7hVJuYy+viapDtHPm8309VVJ OYuaGJuUWxvaR8Psw2eBBfZ/kf3ewX3D/Y45m7n7EGCrbUNbrwUusE1Z00Yl 1bX+9j3tQY097bUG2h9ZO40uZ6eLfb5hntPeth6T9tSXsd7/YNsoz2fl2Vv6 G+O853NsI9qHMXJlUpxcB0zwuvTJtf4Ocw3zVzZ33Z2Uv6j1ibbJ9UkxMMLz bvRcnvXmcme6tdyZbrfPmAcn2T53ul3DzGfm0oy/Hf4+28yV1AL10dT7m+yx U9yuaZ7i8WN8xjL7dYHtSr1QT9TSeNuCY6cm5V/m8Wz+pT3ud5t5mXcQ5nrm +Wlu1/a8qR7DfEitNHf/NK/JHM3czbw9I+m+Usc8w+uwj7meeX6m23XNM9Oe GjDde5nlNVkDmNNYv4+2j/nM/DY7qU7UM8/2+Pe9V+btZm43t//vtT2re041 98312M1utzDPc3uJv8s9zPd+Wns9rlvL+53lc7H/SY+nfh9Le3Q633M3AO8k 3U+o64VJ8bkCWJ9Uu19KykHU5wtJNaCtmc9t3Mccxbjo5DbvIR95frZ/kd+T X3abOZB3F94rFifVlXbmxf5Wdlwn73e191zs9yX2B+ewHr3uNTnvYz8f53dL PZ65eJnPSF7u9htuc8wnfi7xuxUeQ6z0GiWez72U+j339mbSHSg7dpXfr3df N/tzic/L/rc8hjmQ9aaXebXbPfxc6nfv+j3rDGsP6857bp9i5nM/81q3GbfU KPX5RVLu5fMHSTWjzO/ZZk6e4D6+p6Y+TNLVRPu4g/35se281LajbVjHNno/ PN8Gn2ON+/h+pNs8x2dJ9z/mK8YiY5fxOMnvmd9YW1lD+ybFCGOG9WiL2y3M fB5im9GmrCmfu93LzOdsveG6rNfb3e5r3u697XC7r3mH907NMR5aea2dXm+7 +/v43S7P3eRzsqYx3zHHZfMicyJjeUggn4Z+k/UG7xXa8zZwk1Bc9QFXCq25 DvxBqBauBb8X+t1QHdw/VEc+An8Y+t1QCs7JyL/r0d4Qiv9e4EzIvz3Af9ue J6HdPlTzd4JTKDaPAFcJ1ekd4F2huP0O3DQUe7+Am4d0/zs4PxTHP4JzQzHW Bbx3Rvb6DO2KodxyfOicPGNl9PcNaaYauCxkw93WK89yJt59mXRX+Jfnzyjn VQJXyUiL72LMmnDdAg8P1dd9wWeF7hd/0OYZxVgmIx/Q/sXcZ6i+bQR/GvrN tAm8OZQTvwR/HYrtEnDV0B2Ke6/s/Z8A7hzSSz/wV9Z8K7SHhu4xK8ArQ7n7 K3CEcsU6n5cxuwrv6ofuI6eDB4Xy/D3gu0K1cyr43lC9pG+/sX9vBd8YqiGz wTPDtRH8YKh2PgaeE6orVTOy40bb9eiQbfPAv4biuxn4p1CuXAB+PFQXDwV/ H8oNjcEnh/LHYSFb086HgLeHcklD8OpQvmkR0ge1cSf4tlCc3ACeELqXjADv F7oDvgg+IHSveQ78bOje8Bq4Tuh+9xS4VujeNzjke/q9JWMldPf6C3gyVN8H hHxPv1N3+1h7W0O+p9/p27/s38NDPqZ/rwVfHbpzXQW+LHQnWwY+MHRv+hv8 ZyhPL6YNQrX/i1BcMaa+DWmLuvo3FMPUfGEoHrgf2uYO22cMeGzojvgDcGXo TlgzZC/a6jvrj9q7FHxJ6H8z3O947/kf8H8h3RVRhxnVgFFoXxi6j04D/5aU r38FpoTuZn8C80L3ot+BGaG7FvU13RobTb2H/j/ENR4IrTMutG/uuW7If/Qd 42C3Y+FEcPdQjTo/FD+MnT+AR0J3Ifr/BWvgJ+D60B1sCbhiRvntabSPDP0G oO1ftf3pqyvsL+aknqG8VDukM2ps/5CeqCXmxS3hOxK4Qkb3u8tDtqad7wvZ iPbpina30H2fMXp/KE5/Bm4J1YJ6Ia1QJ4zpyaG4fp17Cf1WOQb8Vig/M+bm h+KuLXhp6F7+I3BN6A5/Cjhl9JtjEdqtQ78BHg3Zjnbj2i95/YHgRqHxtNNI 26od+I3QbyHWk4XWJM/9SujszB9zQzmE33nG3zoPfG7o/4X0A+sNffFESDfU DOP7ulCMPxzSEPVzN9q/JP0uuD1kL9qK7yaF3jOfzQrltBqhOGeMLw/ZhTY5 OJRDmT9vCumD2mBevDmUG98MnZNnPCNUV5j3JoZsSnv+D4sFatw= "]], Polygon[CompressedData[" 1:eJwtlXnwlXMUhy/n3KSytBBZUilZimaaSHZjxjITNaaFNC3Son4/rVq0oFBU xhqTUCY1LaJlshSNQlqVNk0lLUwLZR9Kns987h/Pvc/73vt+l3PO97x1upS3 Lju5UCiMgYRufJwJ7aNQ6AvX4z/Ah/gmeB+vAZ3wQdAHrwb34wNhHX6C7+Hw HtzKddViobAf7w3tub4PRuLtoDF+JZTh6+Hb9EJGaC64Ef8VluNb4A68CTyN P64x8NPTY+neRXhbeAofAzfhf8BX+FaoorVDOd4WeuAPaU34WGihvaSffQwe wDvCMLwbVMKP8D06vIeTuG5T+v/DcDP+N6zGt8EN+C/wGb4Zfobb02vvCF3x g3w/As+E19ILxoXXFMTu2vRaNMcB7YF7O/g+A8r4rR88h3eA/vijMEFrh574 Ib77hcfU2u/k3hOlPXTGH0zPrZy3xO8uzddMNYAf1rjhORTbOvBkOMYz8Jkw FT8XzlesYaj2Asvwc6ALPhgm4s/DJLwGvIi/kPbX4SX85bSfBRPw8VA9/Mxo za2a0n/Deyvn+tnSHkcpthoz/J+B6ZgoFuMV53TMFCs9o70NSP+mPY7TWPBK eM6xio1qPHwviX0rrpurVmFPOsfK7UfKCb9fka713cqZajG9Vo1xF94UNoZz sAq/Lj3WHDiB/wf18A3wNV47/dssuCd9JnUWlYPTmO885RDfpZrU2dEZDsdg mHKpmIfvTcHfhCl4TZiKv532t7QGfC68g9eC5viFMDt8Bt7AJ8PZ4THexacr x+EamKZn02Pp3mx8Vro2NGZ1fF66V6iHTMJfTed6smoI/zxdK11hEb4QGuLT VRP44nTv6QyvqVbSz2pNQ/Eh6bOhPdfU2dOZCNfgfHxBeizF+GP8E5gRnmMp vgQahe99oVpJn/2ZcBxWpH2IYkr8G3HdB9+r85XuWepVy8K97xau7w33wIb4 7/BluCddhv8Fq8I9o0K6hlQ7rcK5vQ1GhXO8Bd+uPeC9YFC6p6iX6Myrto6n a0c1VlW1mO7l6tHqNd3TvU495yB+AK7Bl8Ap6T1pL1rzxRofPg33sNX4+nRv 7w4r8QvSZ109YzleK5079YAG+FHlNNzDv1Htpnt7j3BtqcZV26qx79I9Vb1U e6yL71bOw++gY6WaV60rRz/y20/KYXgPh/DD6b3ojCq2l8OacIz/xY/BOrwN /JN+B+ndo3s78R3p3rco/C7aCvPD76RTmbti0c9uh9/S7xi9W1bAn+l3gHr/ ynCvvir9rlHPrsR15aKfVc1UwItF51pr3MV/v0/PfTVsS+dcudYalIv66dpS ThTbS9JzK8aqrUvTc6vG9uP70mMpRoplvXSvUkw3pnOiXMwLv7s3pF3v8LXp nCvXc2GzYpn2D5QT9YL0WdQZq5w+Izobqtn/AQ+iG88= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHncjlUaftG53xZM+CzZRkjZKSGJlChbaMGHIUL4LDEm7Zlky1iaIntS kkZR0zCVaWqammaqaZuKImtKlrRRUXNdv+t6f+/3x/W7z3ue89z3fe7lOud9 zhwyrvfYkplM5kiJTKYU5KGUyYwEBgIDIpNpms1kHsH4FqA8UAnYDBQAVYCX gAXArcAmYCNQEXgeqABUBqYD1YB6wD+AhcBtwGvAIuAO4HVgMXAn8B9gCXAX 8DTwFPAA8F9gGfB74B1gOXA38B6wApgK/BN4ELgd+B8wDbgHONs+VAcuABoD TYCGwK+BWkB9oAZQEzjHa/m7gee4rilQB6hrHWcCtYFG1sHfbwJLgSlAM689 C2jtdXzvfNuj7vPsH22e6zjxdwvPcd0MzzcHWtlv6mppHfy9C+gLXA+08f7o 70y/1xa4yGPaaWdJ++0tafNiS/rYwZJ2LrGk/UstuaceXsfnV1ryeSf7cSEw y/YvB64o5ktH62BOuton+tLNkr50t6SNy7w2t7/azkdP26S+U1G3pwCzMe7t d+jLn23/auCaYr5ca9kF6GPZ1bHsal/6WXb3fpo6t71skzYGeP/0ZaAln//G kr4UWgdjttW+DAY+sU/XAdvt0xCgv9dS7w77NxTYY5+GWV+hfx+wbfbw535/ RFL/sEerAvvt6w3AXKAIGA+sB/4AjE7iAfo9CvgOmA/MA74GjgBjkniA/c0+ nwxMBH4LHAW+B24EyoV0c/4mYILXVcB8eaB0iCvIK+SXn4AfgUnAZ97X8CRe Id8UOOfMPfuInEGeYG+y78kl7FlyDDmAPUyOIa+wh8kZ5AnWDHuUXMKeJd+w X9nD5DPyE/mCvEL+qOt1tNnIuth39W2DfZrjGMp69qO+n60FHkriwlrWkeOe htbFumNPtLN/Tb3PDq6B7tbHfmxhO+xZ9jB7gjXY0fZa+FljP2ttO+zZHGe0 tK5Gft7K9tr4nVyfX5LyvNA+5bkjxyWUbVOeR9rZ9wutK8cdOS7pYF31rKu5 7Xe0Pca6mXVQV1fHhjbYp+zbe5M4pbPtd/GzHAf1SHnuyHFJN+uiT50cL9rr 6Xdyfd435XmBPflsEndc5XfYx73sB59fbd97WVeOO3Jc0se6sqj1Y0l9Qf/Y m4UpzxcDUp4v+JscRo4YlMQPg22L/HCdbZMThlg/+X+o7ZEfrrcf7DP2IfuO fcleZE+SB0bYD/LGDfZhThIPkBfYg8McF3IA+WJcEgeM9xr2MPt6bBLnDPe+ vgI2JPEKn7P/f+f8sqd4JrLXJ9unPybdM8gF5CnyVTWD/VjdYF/XMNjvNQ32 OPvpA2Bl0pk50fppm/3Lfq9t8O5Qx5hqv/g++aSWfZxmP+nDdPu10uN6XjfF ulmTTyTV5aPAn5K4dFXSGdzWz1d5za9CknXEO9Zs53odsLpYDijJtwnrH4d8 LEnO8XPGYFGxGCz2PspifZkQb3M837ljjO9L4tsnrW+u472gWLwXFov3g453 QWgtc/+wY9zcMVvieMy1ziLHe1mxeC8vFu8Vjjlj+ZBjmwlxZS5/Kx3nEpj/ 0DY/spzp2C91/Gc5tozzGudgtOO32uOZfre559Z4PhfTIttca79Kwu4W613m PdR27NdZ976kPhnu3+udr2c8Hm25wfOlQs84f3qoDnL8Qske/0sS73COZx7P Wp6zf/OYZ+GLSefiGZabPP6rxxWtn3o6+/3nnfcXPK5syd+V/M5G26SO56xz s21Xdiy2OJa8V/w95Wvn5ZSvnVdSvnZeTfk6/VfK1+m/U7523nA+yWufOA4b vU/ul7XzbsrXzvtJPcp8sjZmuBbeSqo7vr/VMfzY48GW/D3IOX3beeUZQP4j H7JX2BusZXLrdvv1qcdDLPmbXEzO3eG1Oz0earnT68nFu7x2t8fkaHLmF0n1 Q/v77cPeJB4fZrnX68mtrLd+1rHbtji3z+v7W2+hdXM8wu/ssS/bHGf6/6Xt 8gzgHe/bpHOK59AB+3XQ45GWB72e59Uhrz3s8SjLw17Peud5sN42tzkX+22b vh2xbdr9xmP2S4R+jzG4rsjreJ7l7pccT7I86vF4r+faY57neBB0NsuKAzj3 g9d/hvldobyehOeZrPw7BTJltedf8PynUFy/hNwXyvF3kEdCefoR8vtQPnpB VsnKRheMbwpxQXfegbOK9VcYHwjlcifktnB+ID8K1euE0H9ynhU8R8hN7EWe d+RN8hbvDPz/w5qf7d+DvL+TQ3skf5JPH3aeeS9hTHhPqOi7AmMzOBSfDc4B Y8+eOCnElzzfyGXkMZ7jvLvfDFzOu0bo+QzIqSF+4Z4+9b62QzYJ1cBByOah Gt4C2dg+B3xoGaox5mSP87Kb3yVCdcvYbHV8PqffoV5jTr5wXhjXQ45tCeg8 P1RvzG1J5/c45lqEORxyZojv7oOcE+KgUZDXhu4pNSEvCp1Z5Mj7k3jyKObO C/Ug83/MNcDaybp+rsJcNYxPJNXRCdfS15DnhnqcdfSNa2my48vYHnecmUee Ub8knZ2M2Y2OWwPoviB0/o0J+Uo/+S2nv+tnNGT1kM/Mw8fOBeO6w7Fl7Etl Ff9WGJ+cVS8zV/udr4aQ7ULnS2veN7Lq/caQbULn5AeQl4XqsQnmr3EM74Ks FLqLnI35KqE4VoWcHjprzoAcGTqbqlFH6Cy4ErJH6G5zDt5tELp/Mf97XQPc 33zvcThkR6+pjvX9QnFjLfzsemDevnXumIfDzgXvUPy/Wtr9UeAe4dnAMe9U nC/vcWmPJ7qnKni+wO+Pcy8edx7LWed45/aEc13GNnmv3upeZl+fCv9LZ8Wt E/0++W+CbU+0jp+t507MtQ/d+1jjP7jOy2ali3p47+A9hHfR3N20s+XpHvNM LOuY807Beb43z76OtSzrPXLfZTye5Bqmn30xV+Rc14P9s7K6264Hngp9/3uR /Rf6zsf+m+cefAny5dA9YBVrOXS3WMl8hr7/LYVcEvrWeD/kA6E7ytxQDbF+ noZ8JnTnqAr7vZ0P1sVY18arkK+F7hnsmw/dO51CNc16Xg65InTXWQS5OHQH Wgi5IPR9dFaoplnP70C+HeLgOyBvD931yJHTQjx5T6juWfOrIR8NfStdA/l4 6P70JuRboXvPu5Dvhe5kbzB+oTPhda4NfQetjD32DJ2Bd0N2CN0TyXP3hrju 4lCtsE5u43uhPN8CeXPoW+ylkJND32RvhbwidLazvwsdk/dDvMCaYa9PCfX7 E5BrQ996a8Cfmlnx1yvMVeg7bkXMFWT1zalriEfIIc/R39A3YPYxe569TD4m p1D/CxhvDt3nnmVthr7FDgxxIvnwtKy4jDzWEONGwGkhLqmQVS33CfER65PP O4fWbAQ2he6X6yCfDN1f62BN3azOxXKQ3UL3lf8DHGDBag== "]], Polygon[CompressedData[" 1:eJwtlvnzllMYh9++dd9PZKfFkvq2Ef4B+zZjb1BmGDOUylIo+9JGKKGQFi1a 0J5EiUraVCqFUpIQky1NalqmosX1mc/zwzXnOs/7PGe5zzn3eavbd23dpapS qQyAWlBdVCprs1LZGJVKFeVj0BYmUJ8GF+E3wut4F1iML4QX8LXwOX42jMG/ hS/wpdAHXwf18edhDl4XZuMfw3P4V7Acbwl98fXqA38QTsPHwgP4/XAqPlh9 4F/DS+Exj8WrYRi+FMbjTWC4xgI34fWY4z58PzSn/km677c0Bnwl9MM3wFC8 EQzFF0Fjvl2d/q0G5XnQS3Og3gbOwhelYzEansAbwhB8OrTW2GnjP/wgHI9f x7MP8Z0wEm8MbyqW4bmtge/Dc7wb7wYzwm22w++FSeE16oR3hkF4PbgEvwde wa+Gjopl4b5r4x2gfuFYFHhz/D7KydSD8uJ0n+pLazA/PUfNbQ18lI6hYrc6 /O318Gq4DY3tDhgfHqPWYhIsD6/JDfgJ9LkL360xUr+zfL9O6dfAe+FnMxUr 6I2vgvb4iYW/Tfx9vQvPUl8Jc/AWMEqxhLvw7jATr1mu9Sr4LrzmTfFp6W9H hL+dB9+E27igPBM6C5rjOfhDMDUc44fxR2Ac3haexq9Mr73WrBFj7Up9Cl6h vBAe17ipD4TP8E91RsJ9nlL4Hf22Fy7XWYHZ4TM0HW8GI/Evwz4jHRs964n3 gFnhPboeX5feC3o2GZ8Iz4TXRGvRivqe8Jocxo/AVq2l+kjPoVLGrMBTewbf Ho6FckhVGZP9lPu0h/A/YQ++F34PPzuEH9QeDfdxLN8eBzvwzjBIZyF99ror JukzWKM8EzXxWrAtPIaneH5bOjco5k+m90iWZ+wA5b/psajPa9NnUGdPe+IY vA50Co+hSn0Vnrv62M37u6BjeA6PpvdUzXKPbqX8S33iv8Lf+La0dwivdVON uVzzZngTmBh+dlLhM1mUa1Cb+lGFY6sxDdNZS+eGHvAPvj3d9haNCf8DNofH 8Iv6hp+09+F8/NzCZ0vnqWXhHKbcdTTlb7Al/a7a2Iz/DO3CbezAd6b7Ugw2 4T/CpvA7o/C307m3Z3ivN6SPI+E9r702FVaE95xy3WhYEs55Y9Jt6Fs9Uy5/ F5aFc7py8XBYHM7JJ9N23cJnQ3fSiHSMFBu9Mw5/B3qF27gCv7XcH3P1Df4a NMAXQIN0ztbe0Tt98T7pXDoPXsT7pb0+XKpcA2/g3ZQD8JfTv82H/viAtKuP BoVzsHLvgfBZ1pg0Fp1p3Z3L0nel7tDb02uktekfzg0L0rlXOUJ3SRvqh8J3 yunUb6F+OPxMc5+QvvsUA+21FoVzu/bcBsqryraVs3Q33lyOTXfkmdTPKHz3 ag11l69I382605VrP0jnHuXcH/CN6dynPaG7fW469+qO13+FJen/BvrP0Bu/ LB073VnK7bPSd4ly/JB0DtDZXxi+SwenXXfSQMU+vXb6TzAlncOVu7XH/gcd +z4w "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0DdSQlEYBeCH+JRgLCwsLV2Ala6CGUsaF6D7QMICzGLag2Kq6VyAERUz CgYM+DFafHPO3H/m3n/uyNRMajoSBEGaUdo9JE4vgwwxTNKwgygRQjrJmXXL GF0kiJNv3yH76GGAfgrOjxjTD4O/R7fED5u0OOCbDT5Z54t9mqzxTpEP9nhj lQYrvLJLnWWeWeKFEjUWeWSBJ3YoM882c0zYb5ysfs8DN9xxyyxXXHPBJRUy nHHOMaecUGXy/79/AY/BNt0= "]], Line[CompressedData[" 1:eJwt0Ucyw2Ecx+G/I2jRJdFbomWIzARncAQztlxFF26AEKLb6ow6enCWPAuL Zz6/97t9o5MzE9MlQRBMscEj51QZNzWkWa3WC23VbW3RnLbptXbojrbrrnbq rXbrgXbpofbonQ7qsQ7oif6RcJ/qK2+s8MKwPckQKUb4tf/Q7+5j2b3GETHv XuLse9+Qdi/pKnlGvff0mScuGbNdaYFvtmi2LWqGT74Yty1oVJtoJEKYeXu9 NlBDHbXM2Su0klLKKWPWfs8DZ3ywzvv/fxQBQnox7Q== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{322, 321, 325, 675, 666, 667, 665, 669, 668, 598, 671, 672, 670, 674, 673, 599, 677, 678, 676, 680, 679, 600, 654, 763, 639, 664, 621, 662, 620, 663, 597, 324, 323, 322}], Line[CompressedData[" 1:eJwl0llTzQEYBvD/yfggvpKZLiTRiRbN1LGEFi0okki4dU8braKVIlT2SMtp 38uWhMhvxsVvnnfmmXmvnl3hzN0ZoSAI6gg7YvnNoZggmGWOKWaY5iATTDJG lHGSGGGUD3xkmDBDvOcN73hLIq94zSAvecEB+hngKc95xn6e0EcPj+klgYc8 opNuuthHOx3cp40HxHOPVppooZm9NNDIHeq5Sxw11HKLKm5TTRFbFJLGHurI oJJrnCXYEQRn5BUqiLBNJodJ5g/nOMICi8xzlHRSWGKZ69yghJDfxfIqqfzl GOVcIEZ/Xq5ynBWyWKOUz5zgEyf5wkW+cYqvZLNOGRvk8J1cfnCJn+SxyWl+ kc9OovY0wSRTTDPDLHPMs8AiSyyzwiprjDNIB7Xc5DIFREL/d/sPlGB65Q== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0DdOQ0EYRtEfPZtkmwXQsQPWgkRFAWIBuCWYnJPJJpkcjEn7ggaByTQc RHF0Z77ppq0339FXFxFdpJKIhDwP9KQisnSTo/3vno549Nbp/KQDOkg/BYZ4 to/oKMOMM8aLfVKnmGCGaWr2OZ1nlkUWeLUva5ElVlnhzb6uG6yxxSbv9m3d ocQeu3zYy3rAPkcc8mk/0VOOOeeML/ulVrigyhXf9hu95Zp77vixt9JCjiwZ mmmikQbqSSf///wL1YMypA== "]], Line[CompressedData[" 1:eJwl0+VTVUEYB+CDFwwYFbsDsXNsRUUJEVFRr50zYmJcbP8suxO7u7sVuxPR Z8cPz/x237Nz5uy7ezJKyuKJpCiKKiiNRVEW2eRSQBHFxJlCglrJUdSLnvyi kt/UZHLIFGuoQRqpjFLvQXqoy0nkUs88TxbQnbrm1WWclDDmp3E3vtOVH+Tw jS58oTNfGcFnOvGRjnxiOB/owDva855snpDJI9rxmGFMIINptGUWQxhPMdW4 x33u8pAHxHjGc57ykhck84rXVPCWN2GfTAzP7XWoPEMbTtOawdTxrErv5xrP YTbHOcYf9TQ5khbUtrZSbVz4RuP98gB72MdektS3yx1sYRtbidTHyir+hnfT jzEUhR56b6rMZyYzwrcxnd6MpjD02Lr1cgNrWMfasGf1VXI1CVZSFvqgXiqX soglLA69Up8vFzAv3A9Kwj1iIX1YHu4Ry6jPCvqyiQZspCGb6c8uGrGTxuxm AIdowkGaUs5AjtCMwzTnKIM4SUtO0IpTZIXz18Opocfc5g43uMXN0GOuco1L XOFy6Le9XpAXOct5znE9nFHs///5D4zeciE= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VvFlEUBuAp0BZf4FYDChQtTkJw6A9oghMWJJBgLbAgQHApbsXd3d3d 3d3dpbjD84XFk3fmzL3J3DNn4tqlJqeEBUGQQd7wIMhDOgUigmAg9RhAfQbR lIqRQdBMdqIjhRlGGkMZwXCKMIrRjGQsYyjKeCYwjnQmUozOdKEFvWhEb/rQ njpE05UUWob2eZ9ookh1HyNPydOc5CxniFU/Ly9wjktcJE69myxLGdeNZQfq Uo7LXKEv/ehPeRKsbSWbcJUkrtGaSp61kT3oTgVucJPr3OZWqJfc5R53eMD9 0H4e8ZiHPOUJiTznBc94xUsq84a3vOY976jCBz6SwWc+UZWvfOMLP/hONX7x m5/85Q/VCXOmTARkITM11CNkJOFkIys11XPInGQnN7moFZob89WWZJKoTSLx pJFgzXFOcIRjHA19Gw5xmP0c5ACl2cs+drGH3ZRiBzvZyna2Ec9mtrCBTWyk JOtYz2rWsoYSrGQVy1jBcoqzhKUsZDGLQvPEfBYwh3nMJZZZzGY6M5lBDFOZ xiSmMJkoelIodEa9ay4bMpgGDKEg+fUsX/j///cfWRKBBg== "]], Line[{1596, 1390, 1394, 1398, 1399, 1400, 1401, 1534, 1620, 1819, 1619, 1817, 1618, 1818, 1636, 1816, 1617, 1814, 1616, 1815, 1635, 1810, 1613, 1808, 1612, 1809, 1634, 1655, 1610, 1807, 1609, 1659, 1633, 1651, 1608, 1630, 1607, 1836, 1835, 1593, 1834, 1629, 1639, 1632, 1840, 1631, 1652, 1594, 1837, 1611, 1640, 1829, 1830, 1826, 1828, 1827, 1653, 1595, 1812, 1813, 1811, 1614, 1615, 1596}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk0VV0bB3BTQighyRRCgzRHqL/I0KtCbxJCrykUSoMMIUMhRaJCoUFF hZJQpso8d82Ke4/h3pB7r2iS6tt9Z62zzvqtfZ797GfvffY6ys6+e934eHh4 mOT++1zpmCNwRmICoy9mVx2M/wqmeUzvA80J8Mvqdm/W/4pTA4qPBr0nsOGy wUvHoC/gdj75HflkAgM8HtMhtdPQNgu+dWl8At8P+sYvU5pGRTnt54wGG8/7 2hcsPDcF9Wy6fvlBNqZKt/NY/fyMl8Vy/hsT2PCqzv5nZ/Bn9Bcc+GP/ho1Q NTV5V/7PcE9bL7hhig2Zo8f/yCVMwmRsyc0iFQ5U/KoCZpQn4Vm5pJBlyQGP eOJMcjEXdldvhgoc50Dw8ESpyjEudvAdtvZL4ED8/Z2RuhVcMGb5XNfmcZB0 SN+ru4GD5ou1HVubOdD28RWjjDnI7jvRnDLGgVR7us7ZKjb+Wy4XHcrhwEZc y3Eyl427Q8c0Dk1zsGnHWbWQFDbkkw7l6P3gILHpyQHVSDZcw7vmL/zNgehs 5RuGDxvnPIrTLxHLLPZtf32UjYzZkKXCfzjYkRelfNeLjexvK5Ijidcd/vY4 0oMNwfM6u94QWxyaE37qMBs8/7+4cP//xYZPXEKfIrGk8WMTGzcSv/pswVbi KBhtNnNlw/ukuHMQ8ZHd8zeudGbjz9P5IiXEdcwFvqKH2Kh6E/boK3F2pS6L 7cDGXkZ7ggM/F9cCPZ92mLHx863eyOs5XFTPnlCnbWDj7OXVD1WFuOgvyZZk KbIxfU+hN1yEi+jllSaSImwYmHq1bJDlwjM+sVYqZgL0rIWeIRpczCxPKwmY N4EgUbmlzpu48HLoUJe58glHF/p6DRhyYVnwclG17CfcK99U8dmCC+GAqwcd s8Zxxqc645szF+tHRpX8ZsZgNOFtMe8UF6f2l64PsB6Ds2wMv+Z5Ml7J8BML XoxC7M6LWZtrXGR0Pw8bkBuF15lNsZeyuOAZrY5JPP8Rz0QqRRsLuNDff8N5 6AsL/Xlld7nVXHTzh+RhIwtL00ofr+viYm96o85/gUwU3N9TEjvMhZg9bUtZ 7Qg8+nxbvnO5WLRNq6hXbgTW6hv8An5y0aEUa2B+ehgL8hRLRAQmMRnO5ivo GoJRPnvvI5FJDGjIK5fpDyGfzzKmfcEkNI4l1fMeHsSiwrkVrIWTuK6wOL8s jUIyt4k1TtolLqxq+KePgWLBPeEsEi+/7NprORUGKKZc1QjPJNr0z/f7jAxg wEmi5MtnLu5Yua/wut4P7VQR65UU2ddxD0/62X5AQ1jl+BZSH09AaHPBhz4s a+A6nLpL1ivETD/RvxdKs5b3FIK56DLqsRNZ0YPVqz7lBpP51/lzVW8NtwsL DPgvDyuQ/bFv0ES1qRNJOlTbwVayv01bxxeWduC2vXCinx0HDnTzvrUV7Wjh fanKLmBDI9Vjb0IcDbJeGWlvedm4+UInx+nMO7jxTN7qNZ6A0hVt0e6wNvgJ WBhIhX8CTw+/5xGzVgiNv9lkXjyO5UFOcbGvm5FTWuK+fWwM9XI++qWeTVg2 9GljuuwYXuq+eta9tRE7Xtaf+2g6Cmog+9egbgPsrsepnNH5iG/LDMcOq9ZD 04Xv0CZNFupTnHzKTerwfrWumpMaEzvTNm9TzqyFbeze3ma1ETiIZT0LWVUL 7oNrJTNaw0itv8Q6OVKDi1tSNwkbDsG6O77FrLEG0aESa945DeJhbnd9b18N biXw2I9GU4j7bjiQuLAWv1Nt1j0tY6DGqMLJ7ngtxhh+zI5WOlyjMt1NhOug d3VRgaHhAFyTvd/wvKuDR7hehAftA1qsmiYD6+oh/ISvrCT0PerOxtqMcRpw pE9H3G9nH8ptHsbfNm1CVcTpyrtavfA0697Nam2GsZXIZiOtHvRsGxdtjG6F av5OwbWm3TCaL7RxtrgNvrJr1PXPdEFnscQ+4+p3kO6b1pIP7UTWlF1grGM7 JqqMxwtyO1DZ8Ywmt7QTb+cKm1TxdyD+YdabBIFuaKm5VigEtaNIXGA4VaAX lgJxQjkS7eBMLHm0QeY9bDRXpZ+ooqG0v8tBeH0/2KIKPY8SaNA3q/FQ/oeO NdbVN/JO0CARwNe3K4cBQ7ZFmsgRGpi8tV6Fdykc2ShVn3ScBndhCV1Rt0HQ 9hlqr4+gwXdvT2iS7BDmrIy0bE2nQSpLVoFVMQTH1Tm6Pm9pEKa8fi6xGcb7 j11cNS4NSfoup8sGhoEoMVnlZe1wNq4Rrd4/guQZp4KbpM5H9UbLwipGcPCO VR4zvR37+H/bhMsyYS7gcuzgcDvOlzHmJbox8SeisfDllg4scPJToT9mosTW Id42qQO2zx8xAoeZyPbh9Q2d6kC0ZkTEhBgLfmev2ETs70Tf2teNxStZWFH/ 9EpDaSfclx/dvEufBYWkHZk1al14O+/O019GLJwR3XFiKqELiuGNLXOIey5/ 7On81YWb0oPhIbosuJnPLp850o0yDd3HLqtYeHtSuTyrqRvdGnPd42RZ8O1Z zXyyugfBq/gdhvlZkPavS2q73APHL6fdqDEmyrdY6rVwelD+OXXyUwsTXvfX xnla9uL4mxYPt3wm5PJTdh/O70XwAz+fjHgmXNct0b08vw9XXHIlWEeZMPLO nbjv3Qd7ZsNgmBkTT4+4SmbzvkeVSva4+TwmhO65zk278h4rDfwdTBtHgMzM C0XyH5CQ6R2rHTMCWk6GtOmdD9iYwzWqNx7BmnNzt91W7kf9rMf9a7wj+EMV SWml9mM7t65yZdkwLgbO1h2eN4CG2yZmAgHDMOAm3RGPHUAsT0hHhMYwltYM FzydHUDkIfvq1u4hJL3YdYnhTMeo+g21q7FDyOXvtHMopeORHvmWDIZQIZTO vCzAgLiR5cueH4PwkpWxyFrGgH6SwhqHokG8KqxqTt/GQFGWScjBgEFcKQy0 Wr2fgVQD6szCTYPgN5rg73djgMlZpL7uOwX1jU4PfHwY+CVUF/7rDYU72vfT y44xQBO0eJaYTCFSXtr/hTcD2u8HGgZ9Kbj9GHbf7c7AftvL1cVWFCTedu07 ZU/OA/HepFe65JzYsr9PZg8D7tt3mvitpECzvd+ibczA6T+hVg9UKaRqJmaM 6jHgstW/bUKRQuitH/XW6xlgac3JVZKnsKvze9jt5QzcjeKIS8tRyG6rOs9W ZODhVDftHvFbwSBpe2kGXjLzJbMUKAz/kO3hFWUgj5K5O76Uwt7n8hIZf+g4 PbU2QlmDQqX6tpmaj3RUhW3b/VuLQu+skWh1Ox1ax18fUtShINPpNd5cScd1 ibIPqoYUWC5ai/nz6Wi3KOUt3kVhbVXG95O36Uh59tI4zoaCWNt9046rdGxJ ux+S6UJh1NpVcTKajqPGKyrsyPwo2Le55ITR0dmUd/d0IAWlbE09WiAdAT4x 8eWRJH48aO86fzoUb+r/FrlMQXnftaGYU3TI5PuEbL9G4cKeXOdi4uer9sxV TadQ9rDdrJC8L3rj6L9x9yjkhjYuUAmig2F96ktUNsm3k2/HvVA6OqYjM1Wf UDDJUnzOiqTDOzD1zLk8CvrpBUqZsXQYRdsmv86nsMpRc1orno7kH08kxZ5S iD4Qtq2S1GPwblqjm7Qnaw5e0r9B6tXRU1lPPP08hxN/k44atdOL1pL+uG82 07Mz6Riyyj8/SPLZd7OWnb1Hh+RqRwW7xxQeMa4/UMihQ/7khxVnyPg4KTKb qnPJ+Jw+2Tnep/CqBR89n9Gx63l71HZyPqa8TbGVKCT1LY2KNc+koBLVINf8 go6RxKrItFsUtgfP2BQV0XGQ7/MxE/L/EG6z/RGHeFr5lP6BFArsr99XBhCn XTRanHydgneRxaAviW8JmrR3J/N54NNNnXmkf06UVFEZ2c+i5R35QQV0nJs5 knaeWMCgRnj0KR0S/vP1s4lvHB8IOk7W/5xCk6QYibc31utekUfHHi3lvlTi U9+SVkeQemJedNrNEG9O9FOfekKH9XvzWAeS/8E+2uZAYnYeU+k1MZs/Rmkx sfHIPiuVGxT826XmNT2mw6VApj2EWPafgJwk4uBFkp0dxJVtS4Xdibe9hpAh qU9HfDb5ADGvIF/RTWJrDZnvbsRzfpePDxErP1apuEBcJB42JZNK5rdXtbKI WOmbnZQu8e6S01b8JL+FxuMlFsTmczfO+Ze436tAYQ/xxc/qqenEDs0c1a3E u+heBxnEz1oaBFWIpbMWC0mTevv2OE/zEvsdyz6sR6waE7OCIvkb/+tNsSF2 Xyx4o5TYqu2slDPxsaW712QQi426qTkRFxrHn4wl/lBa7/8v8YVQZasQ4itl nXZGxKaS2ikBxOkrhyzXEwsnv4oJJPbdfMJ5BfFDU+fmYOJgQV5DZeIPCQ7M UOKOI62qS4j9r4tHRxBX2axXlyJOOSrme4G4tfHrvvnEu6Ko/y4SJ+dPBc8j 3qud6xVPfP1x/oAQcaXjDeWrxIVSMfZziT3X/OtxjfjaJKNJkPjErf2aKX/X oyNw+G+7icAnyVvED2QYtsLEgg+tbdKJa5M11f/2P//FPuG/9f8PkNZHuw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1nk8lU0bB3CyRVGhhdKjnRZFEZGfFKFNlOyiIq32JYlCaaUUKfXYiwil bBXHEpJ9J8657RyO3TlKvPO888/9+X5m7rmua2buZY3NVYNz87i4uOZzc3H9 d+098/XkMfsp7N2uvdU8aArLkq63OftP4XJ6iuQv3ilU3Zf1CkyewjPt8heF ypNI3EprvFA/BVURWcZejwkUShrJFbOnYMBHq93VMA5f68qFWyTYeFiZRY9R HUd+0qnMJypsSCwJkxx4MwbWqTiT38ZsJIcOF3lIjmH/4qw5C3c2rLoLOque jOJi0uvorKdszH2zkLq5eBQHdXbeKX/LRiTPLeOwjBGIuviHmH5hY9WXoR08 1iOo/rj3iFUlG242A2/jF45AoaxYqYViIzz1TluZyzCil1dUlo6TeEXSBkfr WHg6e8AydIqNG3LKJzfnsJCmo2phNc3G6B7uztXRLIRWrS1bP8PGxgMlP7fc ZUGj60p8zywb0rohXfoOLAg/nxPcNsfGutbKwfrLLEj62p51Jn7401HB7CIL x5ViPmURb/e//IlxnoVdnKnWX8SRlhq3Y+xY4Pp/48D2/42FeVMZa9cRZ82k HJQ9x0Jn1vr92sQLHukpD55h4clLO58HxAy+1cpO1izM/r3+oYbYwVrGlWPJ wti1s79WcHOwaanl8A1zFuaU9t6u4+FAd8vaqp/7WVh+6urzB/wcrPrn4lmF LSwcGbq0ZJ8gB463N/imiLKQvzd+eHQBB7kSQez9v4fwZwG/fJgUBxH1Jduk TYawzDCX8VyOg43tc/SWnEFolDTJTqpzUOFrK3xw7SCc9/MpJx7lYKokoXPP Aybuf7qg/NmCg2ee/A+CpgfQfWFNNpw5CD849c1wzQByZApV9tzhoEhpPGCZ fj+6xdc9/Dec1NP7ItchoA8CEeqJ9okclB+3HOaj9cLhwUzKkywOVNzb/t6a 14uaq9Ys8WIOzhw+qPZKtwdzRV3OPI0c/M43VfE16Ibt/lcbUjs54LoyKCVw rgu80zz+IkMcuM1GLkv07USpWbq12DgHhzb7vhyP7YDrsUVinyY5uLxStdO7 msJM7Owr5gQHikPM2BE+Cs6LhvtSRzh4fUJp9dw+BvI6H9u4dXHwS+Rzj7Fd Ox5URzvPVnHArWMRsfj8Lxgue9x+7DMHeRre4vMCWnDS8UXN9acchDixNRS+ NkFEo9or5iIHdaIqZbRFjdCj5R1jqXKwLP9JQIdXPdgljsJP+Tj4dCskpYKr DgLXxYv0k9lw/ZrUkyJSg1nz5x2CumzY5Ez7sfSqINsp71PRPAW/ySvPDtiW 45CtIK389BTyXm6Zdrj7A1Ee7buO0CcRHPsngTldDH2eULfXRpOwkBgemEsr gnJnM9fSkglkbhDgbXxXANbMS73GVRNQbe3Oeh9Bg8+mtQqnL48jW0L6fl9i LvQH8rJ1GGMwig0/arrzKzIr7e+6GIxBhMcxMY0nB30M1W8RhaNYxt02dUs8 C2bKNa7ndo/id/Rxgb+WGfjwjneb5bsRjG4+JTL46xN6jLY9nLdmBDpiramZ gel49efGYXf5YSzpvHrCxuIj0rbOleRvYKGmq6TGzegDuNQD2nzfDsKOk7Gv aFEajvH1d61VZsKfYT+5gDcVgrV//MLr+/GgqsLB6uR7XIqq4b9xsw9nAwK1 TaaTEPnAXGWdWi8aWvyMk/reQe/QzZYYvh7wVFmIQvIdOicv0FhtXWhYskaq +XYiVuW+Gqgq7MTi6teL62UScdGiaOLw1Q6YyvnNv8tOwCX2xfGcHRQ22Clk WC5JRPq/hbc2z2fgVp6KxjGnRPgoKOas6W/DvWs7/nVb8Q5G0NfL7m+FQONn q+88STCxtSiaXNQCqO4LrVBMxqVit/ZUE3JOTr3xCkt7jz2x7YH1hQ2QMJQO Kdibijnd2Wt1fPVIfxtXoHkvDSuG260UHGvxZzyxRlTyI8b03vMX8NSg8XX4 kuSJdJBjHx+UXYWTchkyX9ZmwMXb+XHyhkrkGKy5zPU+C6J5V/yWipeDbpdC Xxf1BdttNu56rVqG7nhJzRyePPQMCcUOhJVim3t0o9YUDQLHXgVyJxZj75Be v7JwEcKay7r8zL4jXSr5pXRPMT4Zr84RUivCqdzK0vxVZdjODvKYf7oQ8z+n 3Gw7VAHLrKD3SbQCHBLJ/sB+WoWNTwKdUnYX4NzkoVshUjXgdc4+kZ2Xj6XF CZ2XvtXiwBmd5jtm+TC7u7/H17Ue8o+cIjv48xFcxNW3UqMRDSkVlbE0GuIV veIYks3Y8Wd3WsY9GoI//tRs4W5F/K5N2QFm5BzvbvAX2NeGmH8z7FT20SB3 dhdDQ4KO28mMeSvkaRiammqMcmdgY/eB5Xababj/aM9lZysK1+ZFDblvpcFt 3KthhWYHGM8vnX2jREOqh+3Tb1KdEDu8KNNCh4aIVhFa8UgnKkZ6lEWsaZjH MJVvyuqCevb0sJIvDYGffYJb3Lsx+0/WztNxNJR9Wes1b3MPolu2b19VRfrr z7N/VPYgRMLbkp8rH+sEFPpGz/eCtymSp2BXPjhzKuqOk72o430eOnuZeEL1 o5trH6peDUo9KM3HzQWfLYNX9sNsWO1O7ooCPFJ6UZXyqB86Z2vPRJsV4Nrt gOvSjH68OO3d5hlVAM+DWVXpMgMQumgmuXqgANB5m89lP4Bej63DFxQLkbhu +/3wqAFsUVsTCL9CzEjFTIrWDuC7S5jEjdpCqOvIN838HcAPlsjzBRuLkMQz qUutZcIyr9Kh8loRprTq7fZrMjHsKmyi0F8Evw67pGYbJoxWUUL1pt/Rk+do pH2dCdGkkDUhld+h7kn9Mg1iQi399+LDB4sRYcStUxvBhMelz2EdtGKsV/qw /lQcE/SHF/apoQQ6nx1rriUw8TtKZkojtwSnRs7PpxHzFjQ/a9lXiszlS50i 4pmQPHzUmz5dirHGW0/OvWLC3mryptPnH7hU8Cz4CIk3pCihfc69DI4LK5UW ejNxYLQh6r7aT8hcuu6vbMdE0nreuGy+cmyy8Dx49CgTLRsHvhTXlOPDN/u+ DwpMVN49Nn0npgLBPaNuWeJkfKT8xUr3Srwp+yUSPzGAA0MMYY5KFVAlK1bz cwAnduQc2EKex4QfvFR6NPkeVlRKmqhVo0f6aHWg2wCmGpjJRnnVqEh7beKt MwCGTMr2Ka0aJEd2xGetGCD/VaJJ/OU1+OqwMNmytx+XGyPbDU/WooRl/CMw vR9hw/VL49tr4XC7X/y4bz9CZ8LW55+vg/W3rWcr9PpRqZFibT9eh1Tr3PXL xPtRqHFaMjiyHqyq53WGFX1wvTHLE3WkAX1lNr6c230wnz73TPh3A/yff726 Vb0Poo6rgjTiGnHejeumxEQvSmzSp14fbYJt+pZG5tteaBt+OXx3sgkWCfYn asx7YRLE99c8vBkpp4T7Zhf1YnU5f1XwyRa014Um1aT3QDeuiPfBglZskXox rGfSA3tbvg6d7FZsrOU+9eNvN/yWb9jx8/QveCgODmZGd6NLxclt8+wvCAd2 afrpdMPqYJrWw8dtuFmkpx8+3IX2kPjzpdvb8VdxkZLcvS6I529bdutbO8pb fcrrN3WBfb1gMd9eOmJUXQQ1SzuRIMvZ2p9IR67ei/dSVzthuiflhCAvA94m ihLzJTsx0jCiY7qZgRZfi+WPf3Qg8E9mbYImA+nRQ6alwR0Y7xQO1DJiICG+ motp2oFldd8C7M4xEDscoLNatgOz+jvrTjgwEHPH3vXmHwo/1WdKzMh7Zvuj iydkaih8aVu3p+YaA9O5jWMrkyk8etR+J4/Y7ThiWQEUNCeb5KLcyH/H8+oZ zlkKY2sPzkhfZUDnSa3jQj0KlqX3ewfOMuDevDW1excFduVkY4wxGU+/FCu3 gYK8+KOFvXoMKD025PhKUhCuTueV3cuAZ+GCkTfi5P12K5UmuJ3UIxOwzVmU wkIxbtdeaQYokdqvLmIU/h5x0hITYyAu4v5T1eUUPEXat1XzMbBrawj7pBSF UfUnHqljdBjKhVcYkngWm3z3xrfSIRXMKCiRozDIDvtF+07HnYKJjUdVKPAv 0jq6Nf0/ewf4H6BAm+Xj542iY8j/buIlAwrKTI2XJx/TsX5eFc3gNAX/Kv94 oQA6cjYFHyq+TKFPzPLupBcdkVr6Bg7XKMiCPtLgSkeq3Y7Z+bcpCAq70m2c 6HBu++N5OpiCyfHF8lqOdCw5o6VtHE5hcudDRxXSHz0/wH9bFIXjocXp4y50 +EgLvXR5Q/YjQkttiScdy63271ZNouBQK3Vr1w06DAb0v4WnUOCrcDIQ8Kdj c6RpYGoaBQXB6UNq9+g4k+FnFPeBQqXXi6agYDrq3imKRhFb9Nwfsg+l46Pu P/l0Mj6TL0OBL4KOH3WZjvdSKayKveiiSeqP2rflev57Cr0yg0uE4ulYmbZA 4Q2Jn7wuz/MQOZ8rjR4cPJlI1l87K3AmmQ7vE8eu9JB8g3re1K5Io6O5p3Op YxyF390jnZEf6dD9rXl0fgyFqENmV8I/0ZFku6M4J5JCUpdco28GHeX85r+/ vqKQd09xxDWTjoQUVZUtL0m+bkzvf4kD0mTVlpD10jP/ZLWJWFjDes45jMLd 2A/+u8n9f3u1Eo6FUhBSUfJnk/kvrNt05cUzCtPVQr33yP5WPqOf0yZu6F53 2JjkM/RYxlKdOKSThyb7gY57pVFCNsT9Px/xCJH8a1z+2f2WuNFqlyF3Kh3n T8YLzCfzv70w+GRpCtnPRzR1T+LYlQbeeu/pUBL47jBBXPCT9dSGrIfXstn0 RJLf+ZC/SbQkOr47JXQZPyf7wbyjaEN8ZjKvd5y4xaBpqSrxM8q2xYXUV3D1 ldo+YteC2/5NxIO8XmPniXUv16SsfkGhbHNDWDDxNfdYKXVi/o5BoVziyUkP TQPiUo8091HiTRUPrcyJ70Ds3AaSD+9HryYL4vzciGxj4ugkqTXGxOZVTz+H EPcI7onXJRZbLyJYSpzU56OiSOzMVSLDJv64U/UfKWLj90aqUqTeq8lBhjzE XmNCM3uIjU0dffpJvrU+4ZH6xGcnrSeqiCVe8X+1JJa3NE/OJnZ3eCtjS7xc cM7wDfHjPPtiO+JWQc13z4gFa/WazxBrq23TDiT+ckqXYUacOeDD7UO8OWlc +zhxYKi+ryexwZ/Fx7SIJXfMqbsTr/8uWidPvFv0cI8H8feaDXHSxAH6Vj9u EK94M8RYTuzlrBfuRzz9WqN3MfHXDtWU/+L9D9fsi/0= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Xk4Vdv/B3BpkERS4VZEUSglhJv0RuSUqKtRyJCojGVOJWOZpdIxhkzH PGQocy5llqmQztkcM4dC4Ua//f3rt/9Zz+t59voMa6+1l6iZnd4NdjY2No5V bGz/Gx2WqIt//vxB8IegmGeJCZh711FZ9e8fJGt+i26YiYfgPLfuNo8V3LUP aEw7EY11SZ/7N6guw57JXUtIROChUGagHOdvnPwovpNdLhxGO67qRfctQdl1 XkFLIQRm5TIaY8WLsOoPMze84o+LxYuEW9wCjLbKzLff98XM+hNnHEJ/QUdI X1f8phdEGlfbdQb8BLsJ46pUnwcSohPQYjSPJcNb7Xrb3WEt433lDuZQg0UF dlMX7KjIXad9aBb/SctfNrBzhBBXUbHK5HcIDEb8Wgy9A4HssNr68hncta0o 7HlvC/7BMVas5jQU1ddJZFlZoU6fz1ysdBJSuaet5i7cxCz7iEuP+ThW1guX 1W+3gHGc2p6Px0dh6bP7zQ1fc5RNvs1d7h+Cd4uCsqPadZhUHDmcWzIIscb8 wwohZlCxiDsavsKAVEMjNfuSGZ7Qi1o3n+5Hzd/vjDsnzKCbLixRpdKDnFsG QT7q5rgmlxJ6proL8bHBi69vWODV7cKN70o78M7mQ3v/qZtwzJTjzxz+hJOa Uom5r24jZPnKqUSVNigvxiXRXWwwMyevwOPWjJjpkxeqHezBLyHke6ayAR47 7Ruv+NzFpJpov5bWR9gFrzPKWXbEl1VS18c21OGOm9eA5KwLDjSfs6ug1oDj GFudncF9WAsPHfi6UAXVOGoFEjzxn3OnJq9vJWLjdHeYtHkjtSC+ZYNWObyE Nlvd0PMDresap658KdKYEz+y5fzR8J6lVXXqLUwGqzQdvIIQLe/r6u1TjBZ6 zEGPfWHokBAvmCEKse3dgPzKxXCcNhrnWRPxBgrPhgqOOD5H3fXSJ/tNCkAt De427I6ArJSM6Rbko5XNIrLVJxKLUjncDw/ngXXeRr/vSQxYL8ub1RVy4XC5 5Hn75CuYGgWs5uHKwUH2VH+Rawmw52fd5i/LgtP3/ke+w4lwj5Q0b3mYicAU 5iXz8CQMObt22+llgFbV61pqngJ+51bD4wrpkOTgX1dmkoZdPCX6snzpqFP8 m9MzJQ3fH3P23GLR8Jz9aiH3VBrUNFxcmA00TIWE8pnL09A7W9OekErDBY0E Kb/7NMT3ebcJJ9Fws7l700dvGh7+5HCNiafBwcd6zcZAGgxOKdZvj6Xhrcz4 er1wGgoSFHZejaZhbkUudP4FDVGR/3v+f2SXlTvR+5KGGW3niWPkPMPdy/w7 ImhwaperZpBx3V6P8cWScbz4wx0l02ioZ3cv3hVKg73HkqJjDg2mD6hrXpN5 O/3nuKqLaFAvFpIcvUmOrocuyrGlIyxtwzvbkzSIPntq5nw6Hb3iAlcUxMg+ tBxPBb1Ix9B2+aTj7DSIVSuIuxDpWHX8+LZbU6nonMvUDvbJQtjwGmbiWAoi d7RSLsjnovujs4nIz2QU2Fvcj6rPw13nCHsRvmQoF7hqTPsUgGeb8urJY0mo FSXSNW4Vosm9xLDL6TUGV/7NTXQrxsnzpS5v6YnwieyPmz3xFi9Fqg78/icR /bPvxjUOlqKaPWJatykBVp93G8ocLcfFjipJC90ENF4zX6bcqoTxpMPGxc/x EPIamwv4VoX1yae9VvTjwZXPt5RHeQ83/4gd4/WvMLbcSgloqgH7Y43exZk4 nCgfrfx1uxY9nQafHCTioEiZ+Fgq9gETa6+LptjFYtN42AmbpY+QF83mGqqN geaaH672kw0Q25oi6/M1GllucY3pu1vwxWmX+h++aEj+Zz7Y2dyGtWryXDWh UZC2XX0r7FA7pLcHLVB2RiGZ04XdN7ED3EcVgkqLI+FmGrkxTLwLutHXlXRM I+F9KZFdtbgbWfk7TisJRmKm70tc98Uv8BkEs6KPihmnSn7dPz0QWTqwpJVF hfotNvfZ6D7cVHnkt/yECpUL023qx/thNbpV9JwtFW1CvY9/D37D0RunJ4sM qaD8Q4my0GSA8P8nOuc8FVufUinSggSOVjjcrdCjwiuTw1pijIBtzxE1W30q cnd3MRWLB3CutbPO1IGKqnNJ/Nd/D0L28+om6RdUJDeFOHUsMtFjE6vWVUJF tGy4ZFD1EMykDTj3DVLBoRFY9OHRMIaV7gRUbInEsONDS4bCCD7f4ao9fjoS rlveJxsOjmBJSIhdzy8SxlqO0lO+ozD/VuBC+xAJZVU7s9vCY+A9azr1mzsK GR9FqW2ZY8igtFzboB+F7f2B1cqHxyH+r5mIKjMKZ8o/Xf61PI5XC3y9NPdo zOkM9L/MmUDbV/aNFsIxEJeRklClTELC/9SLksYYwLhW90oDeS9ctRNd5x2L 8Ro5F2OlKWgRbKvaTsTBg0grqn8+heXHBna53K9QKsyYHSWm4Fd3UuMy4xXM yhYGv4myIPB3k2+NUTzOWL/eEHGJheb6YBX/1ngIdF2or/RkwbJTdJeNZgL0 Vaq7upJY+LOW49D5+gS8keoSEa5hwbPHTeknud9FowL2t/ey8Kxi08wl8jxs /n3TY9sUCz8epSu733kNUwtLt94lFo7UzTvbrE+C6uqnHmNrpiHbbdSlnJSE 4kOyASNc0xhjefT/0khGyNTxYQPeaWSOnF0sHE/GEsVBvpBvGm8cn831vU1B 3waheeUt05B6Km+dEJYKzwz6zrzN0+BZOaKgaJeGVc5mJi4805iJ4c37dJGG X0VMsT7OaTx2DNBL00iHD1/0eQEyv9nCP6fnlTPwkmkqob9M9lukKT+vnImV lw4Ha+ZZ4Cgh9NZrZoERou9jS/YT9MBR7tzlbESu062xY7JwPCDecpNDDrbK Gfh1kf3f1mFs0DyTi79NL1qnt7Hgp780ws7MxaHm6fn5Whb8HxQVMR/lgWZL lS1/x8LPeLu7PHvy4ZI2d3J1DgshNWsLX8zmo8Egra7+FQtlh2q5S5oKoOz1 YLoplAWp6vaAsuw3oH/5h8LlwYKVTG7FeGQhzjNTKjxtWNh7YehhQEgRjm5J 5DhgwMJfv7JiBoOKkcSvPrGGwoL5T5t568oS2NQFpnbIsKDWwWH6/s9b+Ew9 cXEVZEGDulf3rG4pOARNPEZXpjBi7Hb7fkYZfuZ9PyvInALdoLkwW6ACRoEW XL8/TIHRzfXg5LNKdKbd83qcPoVzqivaIk+qQJmP2NQSNIV8teKMbbrVMNLz zy23mUJiiLxq8o73WGT/IqqtM4X9hu5FkzPvsfzLe7/V/ilczucYWNNSg6x1 9Dd866eQblL6mbW9Fko7X+2zaJ+E/4vm7xaudXjRVJblEDkJHTuKrN3wB4z/ EkwRMprEVvoLc6Z5PY6FKHOeEprE2h97LFxnG+DuHKvwrWcCIzEyjzKfNuFb t1JnffgEJOq8jl9Wa0H67XqdQK0JOK6/fkvsTyt0Iv7e57UwDsV1PzhZzDb8 cp2WzU4eh4bYjPuf1k+QltusJHh2HJFhDw2JynYopMRodMyNQTxRoOpxQQfK VwdzrESMYUk+OLOS1gl55a97/z0yhk0MacahhC7U7nTzNv40ihRpu9Gr1G68 FFA1/Ov2KOSzc0oTgz/DrWFYWZttFMb6d9h0Pb5g+Z50jPHzEdDj1IRCrXpw a4ptX/veEaTVbfRMvduLpO+Pok6lDuOrkxkoNn1Y6uFUPLFvGE6Wqr6FV76C W2LLfH3qENrbPjFvyPajOajab1lyCI1rRuyEF/rhpp61amMOE3pnRfK4077h bMzknKQSE+UG9p6DqnQE5H4U8q8bxA0Rueq5TDrOP6n+/dpmELlRR+8ZrmGA 55xyVO5fg7B9my16WIr8T08HFik1DkC79TjrCIWBLV9Gcwq8Bsh7h7+g4RoD IpJZ2t6qAxjiSP5sY8tA2nOzrd/XDGC/6efnxS4MsPx3WRxoI0DhmLt4wZ2B bEMZrVOJBCICDSJX3BhYNkrnVXUnICh2P8XVkQHLhTLW1FUCpRLSd/ysGJiU ohzkVyOwWubR3IgxA0aL17XNpQmYftildkGPgXs/cmi2uwhcHGNV+akzkBSc XXKVn8Div0Ue/x1mQHPn4u1APgJVWyMoeqIMBN7jKD27hUBGOZWTbzMDKnev FE4LkPHODVinrWJAfeTsfB4Zb36P2rfOYTouLxV0MyQJHEgM8tzfTEfg5iti rUcIfPGWKlwooUPJKHbJlKyPi5GcYppKh3KHYKi9DoHkvOR2eyodX02atr3S J7CgU1orHETHMa7Gd7E3CPC2tvBe9KLjTLbJJsk7BLK0Q/Z8v0eHqq4A74b7 BGY/fN8/60SHj5rAxxxfMl8R40fHXTrk7mjFOIUQ2DJSnGF2h44rl5xeUyII qIm+22tNWqGucKdwLIHUQl71MvL9fVuEfX+Q683rpiOxi4yX8Sov/mMqAWfD yPBQVzps9ohZtmcQ8GYrYa+8T4cpj95KXzaZ30PJx82T7C+9/NuvXALK/228 FupHRy7rgadyPoG0dwZBXYF0OGxXMa8gvTFQmmfvUzqa7yVIRJKWkBO8ykv2 nxQ2wh6SR2B76uKh53F0dPOyrlfmELB0SlnvlUQHLXuVhHkWgYD8Sc63NDqu ndf2yU4n6znTmyieTYeAit9YA1lv8UjmcGUeHb17OC7Rkwio1P8U5ymkY2Pc XWPbBALPiupbFIvJ/d0qE6UdR+BCWAGvEfl9brlNhD+PJsDNXaGXQvqKd+/a q5EE7lJqlkG6eDjnfcJLAtlvXv6+RM4fOnCs5Ca5njZfzi9vK6LjLKXpr+QX BPJNpZO1yHweOT5z5qTHDxXk2b2h40fZ4ld10hMdi2XPCuhofb38WJm0R8vu kpJ8OpiB1WHapLdvCB8ZIOt/4pMUbEf6iaMYcxvpUU753UmkN/JS9r/OoWNr qf+tw2T+rd83XrMl+1/74L7iV9IRzOblh1lkvVlD2WFkvQpifc+6yPNb2sMp AioBf4N8YxvSvtM+El9J0+o2rKiQjik8+MCE7Ld+OtMZpMNbvpzrIC1aF29i Rdp6oD9aNIqAqy/X/nzSh7V0JHRJH+8b5F5H5htv1Np6jfQSjdJiQFpRs73o MmlxTeltGaRDHz8rUiO9z4BDsZ90t+rbmP2kW/0E2zjI+oN6vUr5SKuo15+S Im0pZzS0QOZXeXz0hQbpGkNJKp30IdHnmy6TZj9/8/cH0jxZay3NSD/RYo7k k7aZD/a0JN0rzsWMJx0eP33jf7bmK1EIJx0hKdxvSnq1gfpqX9L/BzdyR0c= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Hk0VesbB3BUFJJbyul3aSAVUV2FMn0jwxWSqRLRRKZSyFxExkJEkSGp VESGhNKkEnUzHDqm2GcfUYnIlCJ+7/5jr70+az3vs59hr3flIQ8LRwE+Pr7H 5GHeyYvvvHCRrsfV2cLL7OLH4V2N6E0K9ZCacvLp8xuH6urealPfeliwWXgy Poa9YTXFZ1/WI1thh9s/Z8ZQM2zf5SbUgILuxP3bxcZgxccezVNswHDrj2ML c0bBkREYOGfegFUvxTU79EYxtalnge6ZBhj7LL07/WEEgTF2jh65DeAWXm67 7DECgR3fvy/kNKDO0P+/cvERzDE+uluZvxEIu/k9tXwYMybsEfa6Rrwv6nwY 4zQMU5vrfX0Ojdg+c9A1ZO4wgpQ4R80vNeJBVoh/R9EPZHx6UStW3QjnuJJH 1Qd/wG9uOKUw0YgTvitxXvIHkpsejdyTZ+NWeOa68+whTHxYeDjdiY2tUqpr BMOGYCU7W6Ykmw1HbX6T/q1DODbrzcmpTja86+fum+gfhKuVd14oqwmjB7m7 Vp4YRMdRIUsziyacHR/qVZv6DnuWjEhNahMWddgcYPl8h/aUeIY6twn7kn7u 6fk9ALOojStK5ZrRIqLzYHv0AJziZDX1XJtRXe7VK7piAIYX5u8YyW/GOKvG R/9pP4btROZoTjfjQxi/l615P4xYb/kcTD8g4fiEyeP+b7DcLV7jkvYBi2rD ovbEf0Ne6Zz5zl8+wFR+b7Lxlm/4stN+rZweB78iNkR5cvpQxVFZ75vJQeqU 5MGswD40qM6Iu/7kQGFXVDe9ug+RjllbhMxaEMFdleva8hVv0us935e1YMym tmAw6CsuC0m8zF/WiozWSQedtV8hNjWkmR/Wilg9k1kxrV8wMKZz+31vK4wL MzJZsV8QKVfkkra/DeLZk2/KVL5gbG3XucTGNpyL19go2P0ZFxrcMm7rtsN8 vKbDPIn41bPyd4XtGNA6dEDE6DOCI1zkL27ugIfKk3sqQ73wDSkuTSnpgLd6 CD/SehHKFjlVqfQRbPnrdTeNepH8TFawMfsjJA8/8pw92QOzGO1o53WduBnj 374yswdnMzrdm/M6oSYUmvJdrwcnW/d31st24eXvUnelwU8oqG7zXn6pC9c2 pC59nP4Jtre+1Vz61YWoEB4VafoJ7YHm8SJ7KOz5XOiQyP8JxjFau07lUUh/ /iS8u7wbfdV++Q3jFObbRmmc9+qGZWrVxStSXEhILszK+Kcbsht9ZVyUueBP 0z7PFujGX4ttvjXqczFpW32Un8ODiFfkdmo3F3+l/ly5KY+HqitPV1135EL7 hsS0RygPc439+BU8uVAyltn7zJaHfZsGbPS9uXjawvf5sRUPJqplaaY+XJhk JVu8MyW+U9yv68dFhk/MjQEDHhxWq3vJBXCxfc98nsw2HuqcOPesiOtky0R9 wENJaPXDMGLqzLejtdo8CKZJJBQTF5rdG5EiLnS1Gq4lXrOw8HW1Fg+BEgWG NLGWcMuNE8SttyMvTBBnLzEJ/h/xgYX+rxcEchGSN+D0SpOH8prY5drESanR O1nEXQ4iO9yJ+6dbnNw1eDi7ZErvKvGRh+33n6vzoN1b2217moucNBWBJZt5 uMlTlRIJ5mKd1vVDZ5R4iH0qLXknhIsN68+1/FrNwzYt6WnlUC7uVv7nFLWC hz5pm2Oa0VyosRdR8TM0jN5G6jrFkXkWdc0u5dLw2yNb/i6BC+vwd+YTL2mo b3ijH32JC9f9Nn5779JYKj3LqZJYkDNjxr5Io8QwTS+AxFcmjg+HnaCRaKBT F36B7Otka36mFQ2Jrm/WOuFcqO+xNhbQotFC71okFsSF+G0D3Qh5Gjl1k5E7 TnKhqDOq/HspDX69KEVzst8U823pq8VoTP9iLWGR/Y/maj+7PZtGuqmw1RoD LpIvu8dcnOEivPb9oWEVsl8kuLlOc3FDyNepS46LWSlBfhV8NDr6XB7oLOHC akOR2MwcGqeiK5sOC3HRZjnoVjmfRlD0/95ODlPgl1BUOCVJw/fwuQqfNgrx ozExRTLkvLT571NVFO76bjvNt4FG3Ge5X9O5FHKPvHJV0qZhy/Lo1b1CYU33 7Kp7pjRSI+T8NCIprBdKV/9jR2OZgG/JmwCSf5ZIbbEbjT9GsqeLTlIYm2/d 7ONPo/zR6epiNwqC8gfvCEXQkFJ7axDgTOG79KC2WgKNfVInDxUepSAWlH7y z1Uav2zklfldKPDod9abbtAompflIuZOYWbBaH472U/H8UTVoBMU9BZK/eC7 T2MoZ4H7yCkKm4XieiqLaYz97N4gG0QhZ+CFjWIpDaVDZ1SqQilomReIeD6k UXblekJ8NAUhdbuaEmLbxEFly4sUZDnba1nE/5XxhLsuU2jOlTaveUDjkUZa Ul46hQiDH3nzSmj4vFj1UTSbwhbJJ/V9hTTYYStiBnMoTHWVxkcW0FjbeYtl SO4Hs0jfHb/yaFS8rzYSvU9hb5vbnd2kfnf4JmgWk/tkucqpkhwa82LLjt8s pVCt82SjFunX46vOXZFyCsNL3wsLZtH40K54K6qCwrw7FFZn0PgkcLxH7RGF WYrBQflkXqGO/qlbiTvl2JwbKTSoWBnf+yRecG/GV+Er5H/4p6H/Ecn30rmF n0qm0ZXzsSCwjEJwjJgpi/gSKztL7CEFcbXYqbwkGp7X7KYfPiD9GAmaxRLL zBw4Yl9CwVz+WVE2MT6Oev1F6l8gPE+DR9zbkiDfXkhBaaJiiy7J15hSN/6M 9OvL9zO4gvia6qGhNwUULAolc3GZhkHEO4tb+RTORvA5iZD6Jtw8pxruUdCd d8Smmfi1eL+YIbFbiGH3BdLP357LzWfIPOXtCzrWpZL9DJY1fSeuf/xc9h7x ttyzB+aR+Laxi8KiZB7+ncM7txAjKi5Jj1h9Y9cGH+JlGycdnYkzH6y7W0ls xrGb8Cc+rZuhJ0jqudBguCmIuPrvuoidxFXBP9d7Evf8CRhPIDZ9lcTnQGwQ 4ixRR9w+uTlRn/iIpdu//KQ/xdKJc2uJ9aX2GG4i5gjMqRcg7pewxG7iT91h 3l2kXlkNdX034p8BlkNPiJ/77tPyJg4vedqQTWwsWhHiRWyQr9ccS3wvjp3A xLeGGy4IJpZSbaPsiR/qHVvsQ2wlvjvNjDjQPVjGk/jwtL7jVuKP+X4bvYgr ds62kyO+flh5rz+x9kKjlMXEPU+OzA0lDohSHhAm3tXMUTpP3DHurjiHWDX+ tPUl4i+dV8NnMfEKFndSiauK1trNJva2n1mZQTz657GnIHFkbZ/1NSb/8pxt 84iXaIS6ZBE3j0yaizL9bF2cyHh17n6TBcQmNetFGWdWsDwWEX++tswwkzju 7IPFS4hXvh5WSidWHUnaLkksINBsf5X435v2Foz1AppWMfUs+7fkIRNv9mt5 VAqxtcYzM8aH50u7M3YZiehm+v27ONCZcUBBij/j/spjfoz3a01IMn49FnqZ cb6iQ74E8f2O1bWM3zsr2DJu9frBz3wvQDlBhvENzputjNPF1H4w9Wvw+JIZ e+xLnmD8iuf8hDF9S1GMie+zvVPHOE1zcDnjCfW8Jsayvi+UGad63G5m/H+I Y/sQ "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.495, 0.5499999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.515, 0.57}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.575] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHd0Ttn38IPovZcQMlqQKGG0wdUZI7rovYXRBaP33iPCYIjeQ/T+EAQh QSJFEmlPmkgvIlHy+q71fPb9rmv9VsY7Zb2/9frrWZ91zj7P3veesvc+51yz 0dP6jMttZGTUKb+R0X9+ly74XN90VaBu1L0VumGtzikdb0/1OdffW7h47tsZ q7u7CQ80nV/K5fIxYeQHd3kdeKedq8jDyMPIw8gbn3nv12fcU5GHkYeRh5Ef ULDQpJkdvUUeRh5GHkbe4mZ5259s/EUeRh5GHkY+17Sa441tX4s8jDyMPIz8 260Vz0e1ChN5GHkYedgtMtfroeEXlf6TqjV68kCvDJ3iZFbwubtwbOqI2Bk7 fYSpr+tQ+9zZHlFSH6Y+TP06Veo3cPCLkfow5dvfNXH+beRb4U/PfrIc9iZe Cd/bdPmEKX664DkHijYYs0vprrPunbbAUxj74SPrhrZq3PKmcJMz644VKGav OH3amzxwWbhS7VyJR3ucXIUpL+R3aHrrQpFK97K7Wt9Y8kLK13rV3ml+9tVX TH3k7c6dTDTbHi0cvM5lar7KsdIe5Twfbf2uY67Gxx6OE/2Q53nBlFMf+fOt dJOfWSbK+8d+3j/M+4d53trnoe0PlKO/9nlQH3neP8z75nnAlPP+sQ+mnP6w x/jjdscN3orn+MnFh/wYo9ze7G/X56qb0rztrM3K7Vhl4ZZJiwaN2KSrYBa3 vE7/o0rWL7aeumhPZaV3Yg+PeW+kvHOXwBdVQ8KU0r0j8oWMO6EMXP2pu+OG BKWWS2KHELfXYp/f3Q3xeW4EKlkXhpe0r65XGm3c7d9+3iudhfPJ/hbTpyvb z3jV2zjKRzjds9ASn59fCDuHrjrceqy7sMwXBp5R/V23501chW2fPg1/UOii MP25UJ39NxJHXJf3B2NP0znbbtXqcUk4JPD0taszdCLfICv21bq+D0Uepv79 ahGDj7jfF97tnTxwatBjkY9rkOftphvPRR6m/tTV2TbNEjyFD+5dXdfIyEvk XcNLvLHx8BF5mPpF5mw6EbH2pfDcng7mj0v6ibzjDtPoqiEBIg9TP8x8z7Ez u18Jd899sJZ99SCRn9zVIjImKUTkYepfDjx+ZM7pYOGtAQPsz+wOlfmH+jDz J/2B/kR/gJmvkIeRp79Qn/4C019g7EGe/kM5/Qem/56rFt7L2DZCxgPzCeMn 4fQ7D5fccWI/6zPMeguzfsKshzDrG8x6BWvXH+azPIe2NXUveUs5WHF+0Rpd 4tX2DOOB+YP5l/kIbqG/19b6kJ8ydtO4rXNOR8p86LZGF7eke2Qb5kOY/gBT f+rYLdHtxofL/AlTH0Z/mPkSRj+Y+QUut79qldf1Xsv82f7E5UZvB3jL/Ni+ WOVlmXbuX62P81t0WHCsa4KS4PYs6/GI10rp00sbhxz5In+3UptP7V8qnXfV 7VlraozyvkO+M2P+cFfGZP5S78DAt8rCu6vv/dbWr03xlf7nEyatFw7o/3bk rEcHhF8GbvNc5nBFuO2c08eH1bsl7NB3rN4r/oGwu9OM522vPRLeF6Sbdr7A c+GWKzqPnzj1hbDdFo8pCyr5CJdo2m+s1VJf4a7tA3/taBEgHBEzavSHbYHC pukxE4u2CRF+7dGsYXjvUOVWzNkP+5btVA4PvVDf5svzpbzLsTZn3QLCld1G 86Kd7vvpKK/bIq1y/XIq317tZTKh7jPhgIxHq5d5eAgzHuHVFca/qLDzlvD9 rD7HrF9fF3aO2fDJPOWu6GM/d4d9sZ73vtJvjGXuC8/ORQi7LO1U/9SYSMXB pb//MvMXUt94XsDBNF+Vn0+NbJQ44JVw26aTPo7KF/BV+x75ClpdbBEtbDK4 +5ktcSo3Cy3ussv1jfCqxn0t7GbHSv/1jV6vlH4RrbjaVH8cWdFX/BejY3nq dw16rlTMjAm0faPKH7hWruGiX+KEE4sMPjXwc5yMjya+s0K39VD7Y+HtVc6O epkgPChqZN3WaxKVmqO7tXUZelj8myYOC4znVYm8jf9CfZmvDCzzlYFlvjKw zFcGlvnKwDJfGZj5Cma8wvg7Ee2qpV857i/+D/7R7appl4wfREp9rT+0ekD5 +BuH1efHeIfxf0T/uLjDIWEnlQib913mrrrw1fs+e2fxrGGT9UrEcZNe1xb7 KYv7vii1IzJK8WwVFJ2cx0+ZmX9mUrsfopUKtxr6HLC4ohwafdv2Tjn1+W9r eWNaP8cwxcFoQkzkx8PqeDA7UNrhvLPSbmjNDZXuJCixtpNKLfdwEf8Jefwn 5m/k8ee0+rJeMT+6OUzZkz1Wr9Qq+UPFhtVCxB87OenMpVHGgTLfFxnrrBu+ PkCZ51Z0V9UekUqFu9YpeW/ek/Wk7fD1pe1b3FO6/HLDePdN1V92LbR+xMpD ibKeM//3KHIzdqL+la7hww1ddf2d2pQpMs/NpLjKcyxdKo7LeCl8zjKt9YUn PsKs77RXqqfFto8XXki5f483k51DngvPDG2/NHHLY+HY0EePNjR/Isx8A7P+ 0/7p6i2mmRa8J+VNq1+otXzkXeGEJ5131xl9Xjj8aZ96oy9cEmY8iT9peB+7 Smw7/ST/BbV/O9lEFgy6I+NP/EdDeXr8GK+5x+4JT8w3M2xPtrvUF3/RUL6/ 7xLPgk88hAtddktw3OYl9cU/NJQfHmodaZ2hjtdg25dxI76s89QXf9BQPr/4 EH25gq+EL5qEx5pfCpL64v8Zynu42oaFVAoW7hQ9N+03ver/sV4/Kn/zcYSl Ov9/NHNpGXvaW5j3T/2Ngy2mz/3spa4fj9u7Zma5CfM+qb+vZQvLMvseSHnl VptaLZx+Upj4iPrH7QrPbK9clvEUe8RkgKOZu7C8X8N4wb4PpV0TmldV15uK u1eltEtX41/a92xSM27B4ifSntXWKquat/URZn6j/sEBB3ueSlDLp1qfCT4y 7bXwZcsrIe/XBymnA46O2Vc7Qmk/Kz6o9cdApeOIy5bNFkaIvqwv6Dcu/tGU KsejhFfM2jij1uIYdT0w+LOUP3N7FperkTqfxnffnlQo/1upz/xAeQsn31+j rqnz7YBau6clbolXzq/fMKJBE0+lQryZ8cyDsUpw3k4nC455Lv4z/nTxwIe3 6i6OVSrvWb22WK7HSpfpwyzMj79VfOfN7WiZ5qZkVpnQ+13hOPl/1jP+79C8 17Hu7ROU8Z1/nDzyzB+KdbXIWeMmJCo9TtZ9+1PIbaXuaP9RryfFK7anHeot an5N4mH85QZ3SjR32B4v/WO/Y0PfBf5xys1HfQIsW9wRf9rpZ4/QKn12yPi/ sqFli7mVlgq/t5ww+I6Dl5JhMajGMMs3StTDruELonyUnd3Keu45Fa10tor5 /WyhV4qpl6fRXZMoJbiM1YkKpsGK1j/q5P2mYWzvqzr8aRh/GsafhpF/VPVp eIV6W0UeRh5GHmb9YH1udEXXo9aHcOFnO9Z8CCoVLTzFrufx7XXfChfuW75/ t/aJwj67EpcanUkWrrG2r1/g1VThWXOvWF65ny7sOt5kpf3zDOGSNksCpgRl Co/spG/4c8wH4bNNuqypkfZJOLv6qdfZ2dnC2IM/gT0w9sDYA2MPjD0w9sDY A2MPjD0w9sDYA2OPNj+I/4N9MPbB2AdjH4x9MPbB2AdjH4x9MPbB2AdjH4x9 2vwm/hv2wtgLYy+MvTD2wtgLYy+MvTD2wtgLYy+MvTD2wtgLYy/zEfbC2Atj L4y9MPbC2AtjL4y9MPbC2AtjL4y9MPbC2AsTf1/sZ+ZbrUWS2A9jP4z9MPbD 2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPZPvHu47PZFyWI/jP0w9sPYD2M/ jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYb1rfvH9e1xSxH8Z+GPth7IexH8Z+ GPth7IexH8Z+GPth7IexH8Z+GPth7Pfefcphbr40sR/Gfhj7YeyHsR/Gfhj7 YeyHsR/Gfhj7YeyHsR/Gfhj7Yexfm7/Byzfd0sV+GPth7IexH8Z+GPth7Iex H8Z+GPth7IexH8Z+GPth7Iexv43d+dJDt7wT+2Hsh7Efxn4Y+2Hsh7Efxn4Y +2Hsh7Efxn4Y+2Hsh7EfDn845H23xFDJRyw9Wv1IrvyRwqar3va+avpG+OaY C5+nNo0Xtjxwy6fUsSThhVvNLBLOpwg/XbJq+ePbacKVpr3xP+z+TnjScOsG S33fC1+1dlk1JDxLuEDrskFNEz4KD7CYZ1Uq67Mw9mj374i3iP+0+43EK7x/ yccZ8inFCuvTBwUmCd+fO/7Hp1VThH+LeGPXZmyqcP3eUy6eO54mrL+VlPpD fLqwtr+gL/0Fpr/A9BeY/gLTX2D6C0x/gekvMP0Fpr9onyf+Ls8P/wH7WE9h 1heY+RZm/oEZj+xfFk1durHA80TZ/6iUFfMsJilK4kPyc/Rf8gGMT5j9IvZP 6A/Ey4x3mP0j4kvyGc0C9048N/S0xGcw+cDp1YKszNpeEN48e9kU0xYHdeRb qA8T35FfoRymnP+X+gb98VeJ17X7xdTn+RB/zXbqu/u6V4js/8La9814Yf6D 2a9m/xl57X4c+2+0RzzB+2S/G6Y92sce7IXX6zYdap4eJvpjH0w+Qhuv/9n9 Mu3+FeOVfBDjFWa8woxXmPEKM15hxivMeIUZrzDjFWa8wsyH8J/df+vYrmqT 7X9h/83reqCZW+Y5Hfy07fItLx8c1eV1vN7J+V6o5FN0mR9PRlcKEz5ktzxl bGCE8DD/+wP2WUUKt+vbbb9Jaozwh8sbjft3eyMc0qhUd69C8cK/7+jnUni0 ym0KTFnYcVuScOWWxRqE3VR5c8Zzr6p/pAhPqjNz1c1HKgdHNanz4cu8Dl+v 4Bu486XKFr67lvhefCdcoEBLq1mhKi988NHH5c574YEZf6ztEaey+8WRFpue ZgkfjcoVUue9ypUO319u6/9R+J3PuB/zGn8Stt1u/qpDxGfhzg8ebwgtnq3m T79xv0u7n6Xdr+L9tmpaqvwh5yTh8JALL0sUSBZOOrjDpmyqyo7dm5VZ0T1F +Gjxio5rmqUKd792vW/6VpUHL9zrk7kgTdioVpvtE3xULvGmatnJd9KFL9vf 9XpV8Z0w6y2szaexH3P49UaHGf+1H5PTfpd2f2tEsFJxRQs1f8n6aLuvyJYJ /mp+VLs+sl8j+wuG9VL2gw3rJcx6CbNeavOr2nzot+6X/eX9KIO9sj4a9C22 OqjDwtWXhPf1y7Xz+cA9uv/f96tYv5iv+68y3bvuWfif3l/AX0e+6JuRue7V 0ot86piorm2jo4Tx56l/6qG587w20VK+rb1z+rvPscL4+9T/+WjS4IY2b6W8 gdmcg2fKJQoTD1A/euXV/NFT1PKo7H21rXYmq/OjIV6g/v1GbQM8XdXypom5 Fxc9lCpMPEH9UmaHG570VMtXBo9/GeOcrs6fhniD+qNLFFizKkAtf+nhXvf+ 9Qx1/jfEI9Q/l/3r65FRavkPt+ov2++WKUy8Qn2jxGeNW6Wo5TNP2/vN9/qg rg+GeIb6PYIbry//WS2/s+edpU2wOr8T78h+msfO0JSC6nxfYsPglY1i1fn+ n9rfIR5i/K6uk3LRb5zKjnHeTYN6JUt94iVZLxxnp/18Up3fug8aMKfHjhSp Tzwl60fuzMY3E1R5I7eAS3depUp94i1ZT6YtnFW/scqXrYanW5mmS33iMcqH BmWfd5qr8qT9YU2OjH4n/jPjs4LlyXqfLgQrhZ4GbXRzDxd/l+et3V/SnifI ab9Jux+GPqFLemVMLKLmV/Fn8T9h/E8Y/xPG/4TxP2H8Txj/E8b/hPE/YfxP GP8TRn/WX/SH0R9Gfxj9YfSH0R9Gfxj9YfSH0R9Gfxj/mPM4+Ecw/hWMfwFj P0x7nOehPZj2YNqDaQ+mPc4D0R5MezDtwbQH0x7niWgPpj2Y9mDag2mP80i0 B9MeTHsw8pxfQh5GHkYeRp7zTsjDyMPIw6z/xIPEkzDxJEw8CSOPP4k8jDyM PIw88RvyMPIw8jDyxHvIw8jDyMPI498iDyMPIw8jj/+LPIw8jDyMPP4x8jDy MPXxn6kP429p71PAcl9BU855IsknGsolX2Jg+o9WnvNFMOeHJB4wnA+COf+D vpQzvmDKqY+8nO82lGvPexPv4C9L/tfw/GD8XZj3oy3HP6A91n/aY31HH9YH xqf2eWnnW8olH6Wpz3wIM5/BzEcw8wv6wJQzf1AOU669n8TzoD/C5Ks4/4// wPlv8p2cF8T/0ObntOXa9mkP/agv9nFfwxAvEJ/Rn2DaI38Jc/8AJt+J/rRP fhYmnwrjf8Lk+2DygTD5W63+rM/EM+gPa/OfjF/shYlvkIeRJ56hHKac+EXi XQNTTrxCOUw58QnlMOXEI5TDlBN/UA5TTrxBOUw58QXlsPb5MX/x/GDKmc8o h+kv3GdhfmU+ghlP9B/6L/1He1+E/ITcH+I8oGF8kI+Gtfl/ub9iYP6f/sn/ 0T9h5nvkYeTpv9r7Klr9yb+hv5wPNOjLfgdMvlzuAxriObn/xnlBQ33t/TDy 58iTv0Fezg8a6mvvz2j3Q8gHIi/5QUN9OT9tYPZzWH9YH2A5T2C4f/RLwYKR ZqVTZT3leTMfcp8JlvPshv+T8+wGxp+C8Y9gOZ9uYK2/g77cb0ru0+VBzPQU eR74K9xXCmuQe3zr9ep6qF0f8Ve4H+W4d9WRs56qP0N97kO1irq3ao5Fsow3 1kfGF/cDmR9ZX/2dkzNL54qQ+Zr63K+Daa/P21FrQl+o6/Oysk7pwyzDv4qH yH+xPsOsz7DkWw3M/AATD8LEgzDxIEw8CBMPwsSDMPEgTDwIEw/CxIMw8SD8 2bzXb2eTw8VfsPeeZr0rIkzR3nf+t+5b0Z65160jQ+ao/nRcsUdHip9Q/eV5 v57qYnRf9ceOlvFtlvAkVWk0eHWlQanhSrGZqUu3dfdXnvTds9u8Rrgy/uy9 qpeHBSl6702fvceGKS29PTtdsFP3d/633rei/71dvmjayir+yhmTudk3eusV 7fn8/+k+1s7AqslTh4cpk2pkxraeEJLj/Sz3gA/re2SEKGHxKZtnxYZ9v6/1 jfe1crp/ldN9K6+iWSUze1+W+bR9lbBddsYeMp/bWiycd9/dT2c748Gtx/1T lbY+TxP/aO3/VbwS00xX3+fpZfGHyA/+2/e1TrhtKeU5PVT5s/e3tPezcrqP dbXnkppb9fdkfWJ9W33iRO+CpZOVWs+avF468JqueZlCNWIykqR/duga6Ght maIMrGa1drttiDwf2w5lf1xmGqpM6VOz+ORWXrdnH1t09eIavfK0QUjzTSne iuXBfvqdo/RK8J7MazN6+OR4/2uF1UabLuVDlWlWk4qdcw376rx+qENy8acr D+gObyi9ymvAf/YhPmwaXuuBLiX3+qyBDsnKR4t6Lx718NblfrCpbPl7an75 f7ofllQ43w3Pi+ESb44bGnjXuLJecXLs6GHc+GyO98PGpU5b47wvXPEzDbu+ reU2ZWj3gzfK3AmT55HT/bGRheJn794YJv75vW6N1xzzDVMKm3uUy2t7SNcz 39bVWV/WnwPts3V1dh3QhSbc+BQ/N1zyAWabO2y42TVccb1u1qLqzUCljN+v E5ybhYk/Na2f38f9Nb7Ep7Mt+y2sGCrxI+ud9n5i3j5JO8tfOS3v16yX/+yj ZY5+NR64z4d/T3vrDxZOsJx4Q61/qPyS8ddvC2dtNvndaeND4eWbd/Qyjnig /N/e78K/5/9v/1Lz5IzSntJe0+6nUorefCZ8dWWVo7fSvYUXrwxYNs1MZfx9 2qs85mD9Wi38pNxmTGQfu6L+wmntzmTXrRkkfL3dpMCgXoHC+Gu09zghdLrR U72UR0/NvaJ20wjhZsPHv8rdPkq4YnDHh4F+kcLEv7Q3weN4lSv6aClfZe3e INg6RtinVf3V1wbFCl+5WcTOPvGN8P3EiVYN5uglXp646LfGlevplaWrCkzJ ruOiLLMtnydjvF7Z3KmI062fryonEkdkPHD6Mj68Co2cceyOkljkdt15a/VK Levz1uaVb0m8jX55T093n/LhrfxfdQv7IIdxccKzTN5ZTZ+RINx/z8tqP+dX mXic9vp02vuTfcEkKR+Z98z9I21ULvApeNr2jslqf2vlGbWkuMrE77Tn1MTI fkrZFCk/l1bCZFk3lQfGtXeb2itVuKuFVeshJioT79NeUvWxMV3N0qTcKMJu xlAblY8HHq3cbWi68C4Tx+1Na6tMfoD22pR+1KaG5Tsp7+Ht/7DZaJXfuRea VdM2QziqUNabko1VJp9Ae5tzW+zIbv5eyve5tjItPVXlztenPjayy1THT9aw tvFtVCb/QHtByVveBnTMkvI4Fye7hHkqO5zwqhq05IPwyjd3HR91U5l8Be1Z hKW2u9zro5S3OmD85PEqlSN2NZ1zZcMn4Zf+NeMP2ahMfoP2Fj4fsGvb0M9S vn6rrdmRbSpbrd391H5ntnCNR+s6LBmt8rfeHw2/VCHoxnO95E/Ouk97MVen V7asszc1Mb+vzLib2qXGQ72y13hRpMXgB8rEMyX33ff7zz2t+aMftHdXZiwY f+62r15pWiF20uZZj7/5Pmrn4aWu2t3XS36m5NIas2O89MqQGSYlfBd4Kpa9 rS/1faZX5jd2ujV34jMlLCLT99oJvZK75Oz7jSd7KdPzLwtZd+WLn+GY7Bhz +MU/fr91y9ZAm8ud9Eq/yZEJ5+v4Kr3tX41plxiufCzdskLGWH/l8Z6JYybY hyufx7+/PHJYwDffh3VZ2qhOxIkwxf5sjW61ewZ/vx/7N9+P/X/t/mtO91X1 v8dZZ0WP0TUIGdytVb4kdb8kfcK8fN1SlY6Zy3ybHfbWvV/e4pOlZ4ry6Gxt 72brfXRd7YZ5+BRJVRqvDe5r/oNe8imnTniNGHlOL/sTb0OP/rDiy3gmHkh2 a7i99C697E/ksR1dJMQhVNlV8l6LKGM1f9/w/fLZPWeFKpHlA8aO9AuV/NfE qf5typ53lPwT/ueMQnnGFqmZpBQp7LIwrfwL3bMh818f+C1FafvHizG/d1b3 w8hn2ftUT2iyJEX68/CrCZ0atEhRIlbYrq0Z/FzyXS/K5GuW+CpU6TXbKr5c zBVd8w6RI2sZuej6/PH+h1HHk5Q+e5pM62n3WPdo/vtn7cOSJb+UNmZ7o9CS +yX/xPxZ4qcuoVNrqP5ww75V9M76OzrX0C3ltnZOVjo2yF38w91wZfHkqfmb Pt8r+T7kL/abXqL2dTW+IL5PTeu02+n0ccUmM8+U2wnhkh8j30J+i3wLTL4F Jt+i3a8iH4Y8jLz2vKH2/AP9g3wXTL4LJt8Fk++CyXfB5Ltg8l0w+S6YfBdM vgtGX/ov+sLoC6MvjL4w+sLoC6MvjL4w+sLoC6Mv4wt9YfSF0RdGXxh9YfSF 0RdGXxh9YfSF0Zfxj74w+sLoC6MvjL4w+sLoC6MvjL4w+mrPd5CvQH8Y/WH0 h9EfRn8Y/WH0h9EfRn8Y/WH0h9Gf/Ar6w+gPoz+M/jD6w+gPoz+M/jD6w+gP oz8s+UtD/gf9YfSH0R9Gfxj9YfSH0R9Gfxj9YfSH0V/7vU7t+Q3WI8ph8p2c fyafDSMPIw8jz3lp5GHkYeRh5DlPjjyMPIw8TD5F7v8Y1nOY+J/8CvG7fA/U UK7dr6ac+Fe+H2WIX2HiT5j4ESb+g4nfYOIvmPgJ5v1q9SW+gYk3YOIF/GHy sTxPGH9E8rEGfwzmfWjv47Few9r9bO16rNVfuz5TzniCGU8w4wlmPMGMJ5jx BDOeYMaTVj/5XrCB5fu/Bma+xl7t+CMfzvNnPPK8GX/sZ7L/yH4l/iD7i3zv Ev9Oe14FefYz2e/E/2S/l/kNe2kf/w395XyxoX30gWmf50G8Sfsw5cSLlMPY g79NPMb4hbX38+Q+n4EpJ36iHKYceznvYr6vf6/EIlHCczZdO+peIUbYbWGV T0dqxAojz/4uzPdTy0xe1ndZwzipP3ZI5ImhrRKEBx2pYVS5RpJwrj9sThWs myx83GGtTUaDFOFeG6/nivwxVfj9irjTXj+lCTstMB14p126cOdZvfI4d3kn nDBpufMe6wxhx9EXB63r+164zeAo47mDMoUjelc4N3ZElvDGn7sN6TPug3r+ qd3CfG1//Sgc1NzZxXLGJ+EVDUOHmsz9LFzPvFSBgouyv3p+fD8W5vuxMN+H hfk+LP0Jf4Nyzn/BzH/0L77XijzjlfqMJ/oDzHpBf4WRp79Qn/4Cs54gDyNP f6E+/QVm/UEeRp7+RH36k8wPhvVK8jUGRp7+Rn36G8z6hjyMPP2R+vRHmPUQ eRh5+iv16a8w6yfyMPL0Z+rTn2HWW+Rh5Onv1Ke/w6zPyMPIMx6oz3iAWc+R h5FnvFCf8aKd35mPWU9Yj5mv5X6HoT7zPXxU52485FKqfG+Yctrjvgftyf0P g7zRnI01HAaoPMSiR0ePzDSR5/4H8nIfhO8lhxcfm2+vyiV+f7FCaaPeB8Gf YzziH8CsxzDrMaz9njDrLesf6y3rr3Y9k/uABpb7gAbWfp+D9YV8ifZ+OueT 8Kd4njDtoz/n95ivWK8u30vzaDczTJkf47rbxPQ3He+P98l8RvxCe8x36Md5 U5j2iz11/aHf5FBpn/UZf4Dnhf74gzD60D+YH5l/8f9g5lfmaxj/hv/j+fD+ tO3j78K8f+Zj2tPeV/9+/uqvnb/6335f/58+z5XTfX3tea+czktpz0N9v9// 797v/6v38bXnoXK6n5/Team/+/4+8yPzn/Z8Sk7nsyaNDOh35r/OS8n3QrKH 1/9pVqiivX+tPS+mvf+a0/mov3qfP6fzVTmdv/mr56+098+193tzOk/1Z89L cf83p/NR2vvD//p5qG/8nsHffd7p+/ml7+eXvp9f+n5+6Z86v/R3n0f6u88X fev5H+15nu/fR/n+fZT//j4K67V8z/Ebvz/yreeB/unvlfzV80b/9vkg7fl8 7fdktOeH5Ptdp4ZcX5k+S/et54m056m09wf+6fNG/wdl3f0+ "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlldw1VUQxvcgGEhMD0lISHJjAoQ0kJBQQjE2VCyIBSSIMSCgoanYC4qA wJvKOD7Ye3fsXRnrq733XhjLWGYso347+8twH745+9+zZ+/ut3v23Pr+tfPX DDGzYclsD61HCdOFccKtwnDpl2s9WugWmoTjhBlCs7CnIBNzHzms7iePPdfl un++Fwu97ldYKCwQhgoFwghsK4QSoVToE04U9kKXj20pa6GwTFgqFAnlQjG2 Z+CrWlgprBDKOJNLjPnY+plVwoBQKdQLNUKt0Chk0O2D3CBsE7YKdUK7sC/y ZKFD2Bsum+BlEufGCFOELny38VsZOG6Gw1xiLYCnHPTD2BsBp3l89yLnsFdA fgm7YXBZiN1gzXxvvEXNUxa/JeTQQe4l8FkOlxXYrRVGCSPhvAqbAbivgJsJ 8DMbvmrJu57cZwqt6LairyXOJnLPwFkDcTVi1wWvrt8ibBamks84292Xzq33 2zHCPPLeTi0nWvRRKRwVk4fntR91yhBTO7kcKfSQWw8+XL+/Ra94PAda1N7j myN0CmOFg4UDsvLown6W0AIPhwgHsdfGXg26qfj0/KZn8dSdlesM8m2B3xrQ Sh6t1MPluRZ92Qh/nfgfzK2OWpdT4w7id/uNwikW96uTnP2s3/FFFve9i7hd v0k4TBgtHA4vzslkeOkg9kOJfw5204Tj8TuUvOdn5X1sVo0XwEMO8nDWhchH UD/P7yL8+jnviXnw6jmtJK8p1KOLvOeSu8+0JRYzqk/ot5hF/u33ze9aIXIR ax/yyRbzy+UNwgnEdrFwEj78u5c83G4p/jwmv4el7C/GfgUxV2K7DNsK9lx/ Cb9dRHy9nC3lTBnnliN7r22mdu77VPz4eimy98Y6i1lwjsX9H826Cnk1ciXn ViP7udM4ezrfVdiu4ew6fqMK/+dazJfz+HYbv2d+9/werbeYR9Ws6zl7FnI1 65noB/AzOLP8TDlxnU1s5cQwkrgHsPX7cb7F/fee9X7yXlpEXb2GS6ir89xP DYrgeKPtvjvO81jy3kRertuC3u+hz8fBO3uBRW/6vPE5lSGObVm2Lvss9/t3 IfW82eLd72d/OzbXC/8R+7XCu+R0ozAkRR71+HV779nF5Hi7kJeiL+4UClLk cZ9QmoLrezzvFLw+4JymqOUXwicWc6FBuh0Wd7Ra8iMW82+25Ocs5sQEyS+S e6vk5+GvWPK9Fn30jfA1fhqlH5OiTi+7jxTzZIbWmcJlFus1FvJVwqwUd/0J zznFrBiv9RmLXnvaa5KC+xeIw2Po0rrLwv9E309RpyudsxTv4bP4cj8fCjvJ y/09RT2/Fb6jns3Sv2nR322S37aYsx8LX8HbZ8KnFrOyJ0X+nvvrwgfUK5Mi Do/hPeFyi7dhtPSvWrwxVZKvsHgbxkl+jd7aSQ08zi+Fuyzelk7p3rGY087T kxZc7YJr56Fb+ikp+th5fcuC24+Eqy16u1b6xy3e1++FHyx69W7hc37L6/YS Pl+Ba5crtT5s8abtIH/P3edon8W9y5HuFovZ576np/A/SWtHiruRq/U2i9n/ p/CXxbvyo/CTxdvwj/C3xX/hf4XrLN4Pr9Ub1KtMfu63mDePWvSx9/Cvwm8W 71aS7gaLO/SH8LvFf+3H4MJ5+EX42eK/udekLkVdvBeaUvSDc9+egn+v4fvU 0etWk6J2U1Nw7Tx7HaZRC6//qBQ9UKH1QYuZmi/5DosZPVTyTXDpfdeSovce gnfn/H/vRejq "]], Polygon[CompressedData[" 1:eJwt1HdszVEUwPF7q/be8UpQ4zVWKaLDeHZtakQFqUYFoUbsTRuSmv/Ye++9 d6zYJERixSYisff2Pc7545Nz7/v9fvfde+65t3zqkKT0MOdcL4RjOwp654YS h2MnitAfQRyFPShOfwxxHPYhQL8RsRqWYiFaoBW24A4aoCpu4RTaoBkuYDla oz6WYIE9S8RZG1PGqod7uI86iLS57CaOdTqnkzZGor2zH6V5pyGxOh7hPOLQ Ds/xzObWFjl4dz2xH/riOh7Ys0xcRR7eGUCchsWYj8bogHeYiXh0wgt7R561 t9xuIw5zmuO5KOY1txGW6x3EkU5zno/+ZmI6BmEOCnvdmwAK0d5FHG1jfsYs JKAzLuIPkjEJJbz+Z4TlbBEeWy4q4wme2nolJw8xT3Jov/3EbNurbijqdU4B m/NlhPNbH+IUXIL3Wl+TcQ356Q8mZuAKctJPI05FbtobiQPRH9m9viPPUmVO 9E8QY9Ac2eivtWcpuG1rlrVKTf21Och/98BpqQOv39bFIZSjHyLWQC3a0V5r bYLTWo6hP9FpTZ+T7+i3tBqSWq7p9V2p6dq0XxFjnX5zBBW87n00KtF+Kd9g vNVORa9tqaF42gmYbmPE0Y71ujfyW4j2Dae1n4W8XnOaYTkr4LVmM61m/u8V v82wPTuKIP0mslaEed0z2aveyOW1xqW25Qz8wDdUQVerre/WTrDaKOn1LpAa +Y2VluvuiOLZMfuvpniN907PRlByzvMztheS05u2xizLURnaB5yeXZnzXWx1 Wptyppc5vUNkbbLGD/jitPaj8BVv0BFdsMLmKHNLtrX9clrLssZVcPxnT6c1 +8nGlLGSsMFpjUptyh2wzumdIXdFmn272nIpY2xyeobl7ErNl6K91+ldKXei 3BUfbWy5M95ajoI250jeP2y1E0JZ+ged1qrcuWucnoEUp2fuuKzDa67ljPwD 2NGj3w== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHm4VlUVxu9eWDbZpJUlpjQ5YFhXTCOeBonELpPggICAgHBBEeQiIlxA EriCgRDJJCijeBkEmQVEBQQZBfEyKYIRimlmpZmZ5npbv/Ns/nifdfb5ztlr vWuvvd79nTqde7e6zUpKSv6bSkpqub3cBz9x/NjxA0cjv3+lY5vjJcchx/l+ /9dumzhq+3WZ2zaO7/r1dxyN/fqGFPebOro4rnVc52jLvWaODo6WjqsdHbGt HJ2wrR03Ya9xtHc0d7RwdOae5v3Icb3jZkd/RzdHd8dtzNuJcRviKscqlh7Y do6eWPm5BXuj41ZsB2wL4u6GX83bGz+Ktw9WMd6OVQ4u8dyUOj5OkV/F289x B7Frvl746UgszeD8kGOMY6zjTviIxyBiVYyVWM0xGKscDMEqxlGOuxwDQU/e v4+5NMdQnhWPu7HiMYJYleORWMVShR3guBcrH/c4KuA4Gn/yMQ1/v+fZctZh EvNWwXMIsdyPVSz/cwxzjHf8gevf4a8HfMbAX+8/4BhO7BN4VnH9EavfJuNT sU/BKk9TsYr9Qazinsh8I+FQib+HiVvxHne86Khx7HCsdaxzzHSMI/5ZJ/GY jVWMc7CKcS5WPB7Byv/iFDUhn+a1NMPtEkc1fMRjPlY8FmDFYyFW67AIO93x GFbzzsOP1uRRrOZ9PIUv8ViDP/lZBh/xWI4VjxVY8ViJFY9VWPlZjZWfZ+Ah P0vxM4v8zYfHOqx4PIkVj/VY8XgKqzzVspjzaccT+Klm7Yv9lyzWRdw2wUc8 nsWKx2aseGzBisdzWPHYipWfbVjlaa9jg2NjirrYiJ+d8BGPXVjxeB4rHqdY xL7bsQceytMLWM27HT9rGRf5q8GPeLyCP/nZDx/xOIAVj4NY8TiELXr/Nvy8 jN0Bj6Xkax9+NO8R/IjHpyxiP+p49SQef8KKxzGs8vRnrPJ0GD+K+xyLfqI9 /Brc5FM1q32off8XOCj2wdzTb29yTzzeworH533O91L09DfIhd7/gt//V4o+ /1eeVSx/I4/i9xl/5h8p9Ew6oP6tPv5Zv//PFL37c379booeLj39jdsrHG8z n+aSZkpLpamn+fX7KbSw0EXpwVf8/ocp9O5sC92VT2mstKwNcbRlXAlv9asv +bMfpNBR8ZSGtSe+drzTnHsaFxrcMWUN1lh625mx4ujCuGXK2vhF9/Vv5ih6 gWpDZwadIxoRa3fypZ6t3j0gZd3tmbLualzO79KYQpOGpqzZRd8fyFyFrpfD QdrXC5+aQ7pVyhmngjVTD+hHTP0Zi3Nv3u/AHIrpVH/v7+Rez0kLhqesf1Up 6+5g5hjK+FyLOh6W8llEcX3Z7/2HHBf6XZmyvo5MWeMLzR90EudR+NZ4NONB rP/olDV7BDwVb6HPstpTxZ4/SKzSMu0f7W/tc/UVxS2dGs87ExgXmjqBuR9g rDmkUdKUEgv9Pln/ZhLTRN5RjJMYF7o7FR7TGKuupzMew9zTU9bvyfjQ3DNS 1vIp+FwGp0L/FqastXNS1tq5xDGPcaGFGp9I0UMPpKzZs1PW2vnEUc07hR5X p6y1i4h9MWPFqr69hNiXMi40e0HKZ4VZPKf+Lz2owt+klHV3Ob6lQavxvYax YlnLuNBUjQs925KyNq9KWc+2pqy761LW2vXkVVqzMWXt3JSydmpcaOdmuG2A Q6Gd8l2c+camfG5Ywfvq9zX4libsSFk7d6asnbvIi/Rld8pnjpXw1HvbU9bj vSlr6h7i2st4M2u9L2W91Ph17u1PWTsPwLmGedfgR7kr/g/0Sfm8otj3+b64 1/E1y/p3jDmkczpLSn+kQ2/BU7pxOGXtlJZq70rnCg2ULTRNVjV7lvs4nX14 qUU/6kusx/G9D26vwe0E47v92WOOHzm+abGfx5HrI8RU6Lp0XhogLZCG6D+l /qep10ovpK3SN+nRe9zT+9JXaeO3/Pmv8o50T/9P9f9R/VF9UvpTaPmb5OJt ctTA3/upo66Fj/dT/j/5AXPsJkadSXQ+OZMzis5a3+C8pXPj1zk7yqc0WH7V +6X90tufWeiBtEDPGs9rLRPncp0FdA5oTj6kx62JS3rZKuVzlTjpTKEzhPRZ ZwedUYo86VxS5O80+CneWsQsHqfA5dMW3I7CWxoj7lq3s6gB4XT06AzWVWuq 2M/g2qhNcdGZQ2cPaXhDC/71eF+6Jk3Qun2b88lHjHU9Dn/q/fV5rzbPns0z 9bn+LfVZF73s6ljP2aiMNSi+Iyi/yq3OUfoGcVWKc4bOWzprfY/7+i5xId8o rqIm9b2jq19fTDzyex7fPnRe0ZnsfL6DXGBx3QRfF3J9EXH2JQd1OVeoDi/i /778fx+/mvs8zoK690Pu1yaGMuLRPnsnRS2XMqdyfjH3dX4RB+2pCsbSduWv Prm9nHfF8TKe7wr3y9hf+v0S7tfjXeVBPC6F17lcn0MOLiA/pfiQ73mO2eSl LnuwAi4N4XatYxK50O8NyM+p1NI75LMBc7yumrKooROOERb1Wsr7H7P279JL 6ljEOowe8SF9Q+/U4f4bbquo73r4LWMvNySGaW4ns04zHdPhvNjRzmKPLnV7 o0X9rXDb0SKO1W5vstiva912sdivqt+bqeGm7HPV70K/d4NFTW9xe4tFv3nU 7fXEs8ltD4t9vM1tLwtujalF1ekv3T5CLT3jtrtFv7nS7TqL3lF8n9KZ9BUf D7LoEeL3MBwfcvyc9a20eE7PDHS8ZNFfBjgOWPSd/o4aiz6hnE0lb7sdLaif nW6ft1jbXY4+rN1Ii/XQWgxnjf/fj1h7rfvT4mTRK2+14C/u/dy+YNGrJjj2 sPZTHLMs9pf83IMv1eZc6nOi4xqL3vC48mfRcx9zNLLo79WOKyxq80lHE4ue u8Yip8rnckdji/6+w9HMQqsUVwWx6axxmP6+SnFZ9PRfOa622GtD3L5q0Qs6 W9SNakb5voucK993knOtz4Os0UbNYaErv3DMsOhLWpM7WJe+juMWvX+w46iF PtzvGGuht+KxEi6dLOpYNVzm9jkL/ehmUVuqq/lwUPzj3S6w6D33OQ5baNF1 FnWsGt5rsd5a64OOURaaWW5R36pt8XgWLkeY60xy/xT5f9kx2kL3lMsnyKdy OZR4WrnVh231tNZub7eow54We0z7SzW1waKuxljsH+2dNhZ7UvtROWtJ3po6 tlucA+aQa+VZZ7cXLTRScR0iNtV+a/yK6374qr6WWNTYVubVnB0s+oh6yGaL vCvnbS36jvqF6nGRRU2qZpdZ1G1zC87i296iN6kvfQIO/SSR "]], Polygon[CompressedData[" 1:eJwt01tMj3Ecx/Hn+SpylnMZ02QtY9m66KoLF4iL1pqzHCo585/IeRSZG6Sc JiY21dQyxpjGtIxpOY7Vsoww1w45x7y/+34vXvv8nuf3+z//5/f9/p6EvEj2 RgmCYBqioBcfkYYVYRAcJ49hPBKwCY8xGYXMHyQPIQ7DUY2LyGBuEvkQa/Gb 6yFkBGWIx1/utZLr8YdxLHkCczERE3Afq/GL+cFkPeowm+ux5BmcRRJmcq+K POfjZLISpzEjtDX7UIFxGIoDYnvUvQ3Dczzzvemej6LU58bgCEr8t7qHLF+j cwFy0YgB+MYzmsmV+Ml4ELkOLWJ71Zq8J+fhE+Op5DsUi41T0IXDmMX8FPIU 9oiNtUYLcRkx+MyaD2Sm9y7VexnxWmtPd+ENRiMai3EVffGFNTVkrVjv9D/z yTsYiO9cXyEX+doYr2W5WC+0pgVoEtvrD9asIR+I9V57uIy8if7o5no+eQl9 vAaryHtivdaaPSWf4F9oZ24DHqEntDOzmfELsbMXip3FQu+Fnsm7Wgt/F93D beT5XrRHt7Dce6XvdANL/d36kXu9Jyl+5vaL1TjV3+kamYOvodXwLXZ7bXvj NXYiymv+CtvRC6OwDR0Y6fd2oNPn9DdFaMMICOaIfSP6bSSiAQu891rDdJz0 uencO09eEPsW9Jt8SW7xWukz27HVn63vsATXxfaue/oP6ux5UQ== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmcz+UaHfM+mkyZwRBhxlohigymNElSkiRXN5G4LkoL2hc1pKR7W2Sp qYgWJUahqZSlUq4SN62funXbt3uzLyFb95x7znzGH+fzvN/v+37f5XnPc57n 92sydHTfUZkZGRkfV8nISLCvRkZGC2AwHtYDHwCHAaOBDRi4G7gN7Y2we4Dx aG+C/R2YgPZm2L3AXWhvgd0H3Ip2d+BM4G5gK97tB/6O9nbYg8ADaO/kRmCv B/oDpwNnAJlAFnAjMADoCtwMDAS6AfcA2/DtAeBwj0/A0UAeUBt4CJgO1ACy gQCq+ozjgBLgLK9zJFDdbc6XY1sNyLXlHNOAqcARwNn+riZQ65A58mxzvI8c z3EfsAP7/QPo4e+OAuoeMkc92zyvmbzvB4Hf8F0V2NeAPwPFwLlAT6AOkO/v 6YPzgPpAAVAKNAAaAbOBhkBjoD1wAnCi39X190uBpz3fcUBToBnQwrY50Np9 Lfx9K+B4YBGwEGgHFLqvLbAAKAPaADOBGcAx7jve8/X3PfMuz7FveAbyh5wi t15CuxzoAHQGOgKdgDXAaqAIeAtY4v4Gh/i4yGfmvsYk8XuXuU2ObzC3yXFy nRwjZ8ld3h05u90cJu/IP659kuflHZHLOx0XjI9N5jnvnHfPsx5r35HX3XzH 64C1QJdUyb/q9gWfszyump/JiWw/l7hdNVXyNcffcA7ycqrfc1yeOVIvVfK1 VqrkK59r2mf03VzfT4tUydG6nreWx/b0nLX9TQPfHcc19HOvJE5xHDlZ4DHk ZCOPIe8a+5tlSVzsDVwAnJ/ExXqeh2OGAX2SeHklMBL4EzAc6JvE1ab2N/0+ 3XvMTZWcrujj3bTyc2s/z/CY5u4jn09wX1s/l7nd2n3tzQn2Ffp5odtt3Ufe dHRfkZ/L3S50H/l7ShKvO3vMe0lc75fE8WKPeTuJ9xcm8YS8IkcuTtLUTKOr +y9J0tksj6NOkz8D3a54193vm9ufjNlLk7SP986c0cN3/pekuOWdUo962tcj gCF+piUPyIFrgaF+/muSZhX4XW/fcVPfezOjj/fCfXXx3vr6zrm3VfYN/fiO /UHfDUrSenL2uSROtwSuAy4CfnX+Yh5jPutmX4TnneF1z7LvsuyDQZ6T64/0 WPp4gP08CrjKe+1h31XEyxD7gWca7vmXA1cATZK0fYTH8ryXeZ7z7Ov69vdg +/+OJP2i7lBLSuyfjdY46tvYJN2j3l2TpIPUwPfdph/G2C9sPwL7qO+FY/7p 76nVNxxy1ptSpc9uSeIO17zda2V7P8ybl/u+C9y+2s+brL/cL9cY673xu3H+ tpf5kW9eDDMvxvv81O5JSTljv3X4Tvvk/iQdpxZzLmpitt+x76C1nt8y10xM 4sQ+c2Oi+bHNuWGrcxL7yJm/Jb1nbqCWlfqOmC/u9ft7/XzQ60zy/DucY5hf yFfGNuOaesU6po7XmGA/5Xr/rG2Yd6Yk5Z7Hku6skc89wXsmd0aZP1P8DWsJ 5qbJ9slkP3Me1hocw1xWw/vI9dylnp/8fdh3Uuq+Au9rmve20/mP56vteXgW aipjqqXPSu06DXgBeDOpflgBPJ4UU6wZZnk8dZ85gz5+wm3mDMY0Y7uNv5vp b2d7HPf8lNuNbZ/0e+adOX5P+4zbrwPzvO48z892a6/HtfL9fUP3zfX55vg9 Y/nlpNqFdcvipDqJZ2Q+KHObdoHbz7vN+d/wM9vUbGp6pp/LvJcF9l07Y6Hn LnS7g/262P18Lnc/9/Ki3/F88z13ufd8sudY5DGr3Mf3rFv4e4F686zPzPOu 9Jk5/tWkmrXY/ljqMb3dzrdd5vf/8Bqcf4m/L3b/co+h1q7w/c7yPbX0OVZ6 XWo/ecV4Yj5gHu3kublGP59jlfvn29dt/B1zKjlJns70/PTHK94bNYp6SF19 NynfnGr7rtfnmmv8vp/bRT7TEs+/2t90dv97Ht/Ffq1qH6/3M9ekFlOfx/k9 f6+N8fvRnm+151nrMSWeZ53Hsy6gjpNL1C3qFzWTmk3tppY2w+/CPSHtqAX7 YShmcmDXhnLDGthfknLg+Wj3Cd1tbdhPQrG0ArZKKHf1hd3h9Qei/VsSr5ei /UdS3jsM7VNDuTAf9ruQ34+G/TLE9QawX4fu/FHYh0I6Pgv2sZCerYQ9PJQr noadHdK/H2G/D93DO7DVQ3VEVdhTQvzaDrs5xIO6sJ+HOFITdn2Idxtg/xvi 5vWw14bu5HvgqZDGzoHdnVQ7pJCP6J8fgTdD+SwrtFfuMzPkL/pqHWxuSNer wa4K1QtHhvb9/xoX9sKQLvxM7oXqiSNg3wrVzj+R86F8yTmyPc/7sDVCevkV bP2QRrwEuy+pZilCOyN0L0tgDyTVHQvQ/j2pDvoC7XohnZoHOzeUAz6FrRPS hm9hG4Z04TPYo0Ka+hFsXkibF8MuDOW8n2CvC3F1OuyD4fwJe3cod14SOj/P 3gR2S9Jv483AD6H4+jdwVyjPfon2uFBO/BrtB0J5+V+MnxDnP0f7ylDd8gXa t4bqh12wvUJ10z7YjqG8+hVjJxQ7OxgjSTXlM2gfE6oXn4c9NlQvfgc8Hsqz L8MeF6oLGRMXhOLiddiWoTrvdNhWoRrpG2BaqH54O3SvvNNvgUdCeXx1iAfk QHe0zwz9NtofimfGMs9xrs/SORRvjLVi2I1J+saY7hqK60awhSFNOw12k7Wl AO32IW0bC3tTqA6bSBuqma6CvTxUz10De3VIY8bD3haqUybzbkMa1CV0f7w7 rrnN614E2z9Ud/bm+6TfEMvQXh6qRbqFeEPOnAwboRpzp3WHvu3HM4X+c2oX Og/PwnOc5LP0gD0nVJtSz34NxWzT0B3zfiv+C2A9OBjvhoTqYP6X9kqoLucd vuZ75B2+4Xv8D2ynUC1EjgwyT36GfS5UnzIOyh0Lv8AuCtVUt4d4SU4yzsoc ay+G5uWc5NqzFXzjfYX0cyTsZ0l19X7HOWP8oGObcT0/tB7XujkUG4wL3u0t vt891jVq2hMhTpPPk0Lxxljba42gPvCeS3zX1BJqPfVkV1IOoP5TO28M6ecA 2ItD//8xPl5wjJBHV5hLN4T8RV+Ra3eabwdCPCAHhtL3of8OmRNmhvLC2bC7 Q7/NqCX3hPSE+eHJUI4YFdIC6gBzS2kov+xl/IXy6DDY4aHfPB1CukBNmBLS F2rLlhCnyWdq2NSQjjEORjsWmGe2hnLNZbAjQv+hTghpFvXq4VD8M/Y3hmKV ccq4ud+xc19Ij6hFM0K6QE34H9JQhyQ= "]], Polygon[CompressedData[" 1:eJwtlXnQjlUYxl/vuVWKKIQWfP2LwoxKDBIhSyFZsuSzt5BQlpFKm4Sxl20Q hoqRMAyVZTSSyprKUhN/JIxllM+a3+V6/vi957qf57zPc577XPd9CgoHtRuY z+Vy70HABH4+gitcHJdyuRroA7AM/Q0cgCeIX2L8jzn7GXsTj2B8Dmqi/4Q1 6M1QH32CsQBegBf1XxiFvsD/m6CLwwDd0xzp8LM15384A32hJTzMvUfCujz8 AnWI+zE2hQfRh+FL9Cbog+4FTZLXOAg9MPzu0cTfovPQGt0LXkEPDt8rYk6g m8PLxP3hSfQ5xiGaCxOJJ4VzdZX5U9CTw3o8147DTuJZjFVgAXq+Eo2eDO3R exk7wVA4C8egEF6FqtwvgGfR66Eaul44lxuhOvonmIv+Gj5GfwITlLu8c3cU ns9yOJd787Tm5DX8DXXD31YZZqJnwLW8nzEVPS38Lbq2VF6AqcS3QWf0PsYu 8BqsVO5hOroMfIVeFd4rXbsIy4m7MTaTB2AxcVf5Ck7Bv8Tb5R34HP1Z+Fl6 51VYR9yDsQWMQ38I7yd7Vt5sDA2TPdoC3Si8t9rDy7CGuDtjc+gZ9rC8OxwW En8a3pti8A/sIV6ovYAH0L/DcnlH60fvyWpB7ztPXBmeQW/TnimX2Vp7ah/0 bngc/TrsRZeDxehFsDvsmRtegX3hNejdmrOL+M7wvfnwG7oSrEB/ofyhT0Jd 9FrVB7qCcoheCn+g7wvfW61cQ1fizoyNk73YkXhY5smWYc/L64Ph53BPUC+Y Bx3Q5xkbJT+jb7gmVYsj4WC4JlWLWmNrdJuwt1vBr+GcKpdao/buEuxM3sMj 4Z6iXrIq8/IGeTTz9A707fK8vA9/hWtGtbIOfgh7XN7WnFLE30N7dLvMa1Wg Q7LnjqKPhf/bIGV7G/527fEh9D3htayEW9HfQR/009BNvSvLpTz9I/Ed4VzN gYfQV9SDknvWRXStsNd3qMbUO+Cm5BwUU67D3lGPugW9FXqjn4Iz6NPhtW6V X9EnYAO6DRwP9wz1Cl17NNwz1CvUc1co38m1qJpYQlyUXIuq0bVab1YrqrlO 6kXwWLJH3kG/K1Rb5OcD1WJYqyaHoIfCmORvUu+8n7hjcg89iz4XXrv2QLVR GK5F1Yh6S49wrdzoMfJmuPfomW1Va+HeKQ+q1/cLe089fwz6TRiLvsSaxqLf DmuteRM6hXOlnqtv6xLuZfrG2uE90t6opt9Aj9a1vJ95d9gT8oLOnIrhmlQt qkfcG6451ZrORJ2F+4mXJJ+JZcM1rVpWj9kYrhHVhjx+V7iGVbs6g8uEPSUv qeePUK7CZ9VbWjO6afgslcdHokeF72nNJ5N7lHqTekTpcA2pdnRGlQ/3JPUi rXE7umS4VuTxInSzcK+Th7egbw57sS1sQ5cI14I8Ogc9O3wW6cy5DkouJw8= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVmHu81/Mdx0+dvp9fpZvut1OdTqczuutKKV0pJClFdFOS7ukmVhJpi4rZ FNLGEFYsM81m7rVhtImFlRahJoSUhfZ6Pt6v83D2x+v3+Xw/1/f9/f78CsfP GDq9fF5eXmX95Kt9LsvLWyHMFaoJDYUGwglCPaGuUEWo7+9vhWPCpUJVr2Xu 58JK4WyhklBHqC1U9hl1vLZYaCFU9HwtoabQRCgQqguNTEcNobG/63tfke// ThgnbBf+Lpwr9BN2Cn2Ft90fIjyd8vL+JPxG/X8KbwrnuX1LGCy8KvxNOEf4 q9a+LPzWZ//D52/T2FbhMcbVbhd+x161rwib1X/DezjzNY29Ljxu2UF7c8uD ttByoW0m3CBMs8yWClMtyxuF6dbJTcJMy36ZMMP6uVNYK1yBrHRnVWGS+tcL UyzvHsJA4SzhOmGykLPsTxZOEr4WDgsXWe4lQkvhQSETylk3La3LxrrnErVj hZ8KV1lvPxFmW5+1zV9T31eq81oe4/7lwqwsbPA+IV84XkFQ+7113UR3FQg1 hPv1XUHIsz38NwubvEwYLYwRJriFtue053lhk/rdLYMzhWc19oywEb0LL2dh w/DyjPmBtj+avlu0tq2Q1L9V7fAUtr9a7SrhdvVvFp7PwqduEV4U5glbhZeE ju5vE+ZjW9o3NMX4GrXtUujyHq/v5Har1yPbpy1f9LLBuukv/CsLP3gYexce UP8Rta1TyOug8KkwTBiisXuFy9U/X+1dtpl3s/AffOeQ8LlwoftfCMOFL/3N +BPa93vhIa895DWPaaxNCtoexZ9S0Hqn2unCOuxObY+cbAE5puAf3n8l/EXo JfzSukEvBzS/X/hzFn7xRBa+8YnGDqbQGX6Ez+FLr3gvfv2R5j9OIbsX1b4k PKr+PrUfECPUf0PtjhTnEh92ZBEr+rrfR9ir+fdT2MRbat+E/yx8lpiB327R 2JPCw+o/xVrhkSz8jhbfw5f/kIU/77TMuQv+kSW+jI8/mYWfE6ex3ytZr/Pe TjG3R+17wlNZ+Ds84fPvauwdYYv6u9TuTnHfDvNGjDpdGJRFXDgtC58YIHSz PfXz96me7+85vvEhfKk0rvTweejrDMt8kMd6+uzTvGe7ZQkNH/ssbJI43DuL ePuJzx1umvtaPp/7XGzvA597gdA6izhDPP1GuFa4JgvdLLOdEHOIQcTDzbYV 9IUPEG+IO8UpYhLxkLhIv6nlzl5iF/ZHjMAHkfty6/FZYU4WcWOLdYzusC38 lhhCzsB2sc89lu9Qy7qr5bvT30M8Bh2tLHf4bGM5thXaWcbthQ7WQzt/9/TY KZZ9G+/5SrhbuCuLfLXdurhaWCCMzCIfvmY9IsuFwijrbbv1RIzqZH13M43Q 16WM/Hp7TWehuWTbLEUc6+Mx1hK3sK3zrecu5hu6yTUl5qPY3/DWwt+trJ9m 5o3cWmReC/3dNAU9nS2bIu+HtldNP3kdH8Z3yEHkFmImuYa8l/m8Nuaxpenr 4Dvaeq6F6Su9p53nir22veltZflgbz/Kov5pb132MD+tva6Ddckc8oOfTt7f 1fJab330srx7m6/OlnUpr+d4HB2e63HiLX57ts/rZz1gbwOsG/wRH8VX8Vl8 Dt/DB4d6HXZbNl4O9t1dPNbHuh7iO/ZY5/0tJ/jGrheKv18Liyw7xrDfk3wW PFFTURNVyX6oq+pZ/tSLDawj6pVGln8Df5d4rLF1VM97qMeouajBqKHIr+V9 dmXfR0wnjhOfqW0qeg/1JfGX2D7P+kSvpXVeXeu0tr/xJ/yM+gk/xO9GZBHf iHkDrftu1klr64NvaouavgMeqLlOzCJWla2tavk+eKa2qm4+kVlp/V7Vc408 z1ltLG/u+yyLugGaBpk+aLsf+aAn7lZbJ0V8wI7qprCxe9zHJtcgK/VvzaKG o067OIu4uiSL2Eqc4RziNjVPTddF6KK+6671Huds7LZeijupIWoLi31nPd9b w3UjtSD1yEbXJEusw5wx2bo8VfXIoBSxcI7aq0wPc1Os6xWmG1lTW21wfcXc VNsKmGab2ej72NNKa1ekyDXIfqblz7rp1g2Y4Xnops6mjm2htijFNzV/I9dL D1pGyIe3UZUUNXM1vwWwYWrTlKImZaya6z3egBVS8HQUOlLU0r9ALilsskRt S8edF/Sdpahz0XsT1+Tkk8op3g4FHh9lmgvc522BvWP31OfU9hOz0G0D03+N z8U2FnsOOht6DWOcfaLPHG0dj/G+Gt5bDr5TnI/881PogDuP+968FP1xllme 5Xbc+yfaLq4vo/+l1vN9xG3hx/hKLmLWIsuG+h/5rLIcR1j2vAWQ/2rhNo/j Dz+zTBb6e6RtYZltYa5tDnuj5qD2qGH7utG2Q21BjVHdtnNTGftabhu7El3k oo4fiw2ov1v98chT/b1ZxC5oLzCNq0znenwuhf9diNxSvJea26aIdSOReS7q hovxs1y8nyfgm+p/qP7l+Kb6B7AF9Svm4h1+hfoNc/E+WWAZce9ojZ+g8Xds p5ssi4dSxCDizzbbN3VF71y8Jdb6HGIrNonu8Rl8fpjmv0vxxiDmrLHsu2jv wBQ8Ez/qOrbUNN8dfd7dPhNfp4bE19d5DprrOj4RA/GhdR7nHOIac/dmEb/I uT00PtjxijcbNQcxCl/kPxf8caX3sJ7YdEcpf/iefYT33Hkp6lno53zO5A0E H+R+6hrqG+rd7inen/DVS7wvSnFPOdNQuhYZ57vlm1jHO3izffb1LOpF6omb iZf2hQVqW+XCl2amiK3Q3lVtN6F6inZqij5vIPRMDUGdsCuLWqGR1kxOkYt2 eY66YUkKnaGvvmpXpogT7+v731nUJe95D+uhC1+Ftu65eH+SN5jf7bu+0Peh FHFxXxb1TdlahzrnWArZdfTYPt+Ff3xrW/nI4xeYlr2mgbEPvT5fNFyUQn7/ EfZn/19jcWee1oxI8Zbd7/Fhbvf7/H5a0z8X+WCpcEYu/Oe6FHpdaRvif5LS /2voE+v4z+eo54nfR2zbzH3vtdR+B30v+455nnXEdOLVAylyW77vOOwzsX3e G/jGl5r/yvHxM7WfpngznSwa5zv+HjZN7D3iPvfssRyRYSet7yhUSmGzPc3j AK/r77V7LGfkdMCyKtHaufarYvVb5OK92ETtlBT/bRw0z9Q8hRqfZbkM9Dj6 oS4oykW+Oqr+N47vR9R+7TzJ/x3kZnykvPv4FjGgMEWdTj1Pf777xFNiKTwt tj8SX5t7zTS1t6XIK+TlZl7PWeRnamPyLXmXOoG4VuRcyTf9S3x/M9OAvdyQ wmbqOLfCFzmGtyy1JXlltsdmQ2cu7AZfIt6g9xkavyNFfJwHXbmoRzal+E+K 2PZ4iv+DNphOaBpjuxpr21mrsdNzUc+Rt2b5fuxxgteV/sdX+p8f7XjzutDn XJviv61Jli3yampQz/CeINeRX8l3dXTnxBS+i8zJhcgWOyNHk5vra82kFP5a U/3LHG9e8Fnz7A8LbLfEUfgmZt7uc9Ej8Xu11xU6LzCedOaoFP8lc+fVPm+N 74c3ahlyGTkNPorNC7qak/3wFmC8wG1L20mRbQN76KC7TslFXY7eyYWjrE/q GnJEJc1fmuK/c3Inbx/q5SoaH5Pi/8Lq6o9LEWup0ajZFpu2Et9LfuD9SY74 H8cJmfg= "]], Polygon[CompressedData[" 1:eJwtlnnUTlUUxl8fZx9FVJrQpFkTRWmSQiOlTJVmFZK5UlY0kqgoiWqxpCyp UBTKGIpSUkQhFCEJkQwh/Z71fH/81nn2ue+977377v3sW6Vlx8YdigqFwkgo BX2iUHgK+qdCYQCci/4KxqGfgX7ourlQqMhaCTbCFviMYw/CJHR1eBL9HvyK XgtT0Z2hOufWhAPYe5n4Y9ZPwr9tA73Qb8BQdGb9GX6BycSdYCr6HHgaPRq+ RteAnujx8DD6FK6/B70XGhI/BI+hW8Cc8DPpWT6Equjz+H051iLioawXE1dg fYL4O9aa0Ev3CidxrAFxd/Ru+BG9XM+A7ggL0UtgIroDzEd/Hz63PRzM+S2J Vys3cAhxPeIbk/fKEF9O3Ai9DCoStyHejN4ERxC3Iv4DvQFKE19GfD16CRxJ fAVxk+TfHEh8R/haS+Eg4ruIV6JXQDniusQ3JO99if4mnMt28Cl6WjjX98Ns 9Nxw7h6AdboXmI7uAiN0LWiFfhweQVflP/ajC+jn4PRsXRaehSrEO3Wv6MV6 H9pPzuEy9PnQOznHq9C1dJ3kmminWiiu1/Ks94RzrNyugWaqReiHfhVuQv+n mlbtwF/obTBTtQP3oStw/lr0eriFuATxfPQCuJW4FPH36EVwO3EmXqxagLvD OVZuV0Fj4n9hDroGDEe/CcPRb0ET9EswED0XrkYfy/l/o5vDP8Q7YTa6q95B uCZUC1tgM/FFqvHkHrwz/M71rpcnP8u97K1Lfqbp6lUYg26rd4g+mt9sTf7P V9Qbuif0YLgKXTn7v5ol10rZ7GurZq4kPop4I7op1Cc+NDv3jZNr8fDsXKom fyO+APoke4Jq/YDs3KnmVcuRnVvV9AbiC6Fvco2dyLGTs3tPPd2XY52gm+49 uZfKZ+dePdWZ+HjiHck1dilxIfvdN4TW4Z5SL+kZ6hCXzH7X10Ft+VS4dhro edSf8Dq6MvuHZT+znlU5TtnX0LkL4dpwTpVL3eOQsMfIW1pDNfQEeDf5mj3Q 9bK9Vb85Ez1InoguyXoccUfWIcTbk71oILyW7ElTwj2rXn0feoY9XV6ud1oj O2fKlTx4DIyFkbp3GKfeDutRyb3VHgYl99gT4RpW7aqn9qL3hGt7GDyPfiHc +yX1DtHDwsfqJPfyCt1jck+vDHu8vF176v2fYFKyB2iWTA4/i2bKD2GPlbdO gC/CniQv+iB5Nnwe1poRC8IeLO/9COaFPU7eppmm2fFt+JhmyKxwj6g3xsJZ 5GtmWJcKz4JF4f/WTFgangHyft2zvGk1TEn2qE3hGanZOCO59tfDtOQe+D3s ofJO7TVCvw09kj20N/rU7FlWBr0mPFM1S/Uf43Xv4XcVMDE8UzVLVVOjlTt5 VvI7lvc1h3nJHrg/XOOqbe3Jm5oqR8kedUy2B6j3tyXPyu7h2tXMPC3b0+Xl +9i7hrVWtherXuSdNyvHyR5alN2D6j3tyUtbhHtFniqvlCfKC+WZ1Ti+S+9U z8e6O+yJ8kLtbQ97uLx7Fpwt7wzrxHqJelV9Gp7p+7QXrkU9Y6VsD5N3acbK y28Lz1J5ur51XgznVt88tbN7VL2pa2q2PcpaIjzjZoR7Vr0qj90Rvifdizx8 a7imVEuaOaPU+zAi+R29o14M94725H1/hmtHHtg/nBPlQjNjQPibKRf36LnZ 31j6tirN3uDwjNVslWfIK87JPibPkDd2Qe9K9kh9O3Utfpf6huoQ9hx5jb7J TsiuyTLF55xB3A1dVJwDzZK24VrRTJF31c/2SnnY/8ecZOE= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0/dXzWEcwPFvlJWyN3GzV/aW+Bccf4E/QD/2R2SWvbeyV0JKVmRTZG8y QlYi4vWc+8P7vD7P833O99x77nNj87PnLkiIouishivMSWqrFHVSN/VSjg6q o0N72YH7whkuZhfuZ2ceYFcuYXceCu/hYfbgUj7VS73QHj3QTfX1vIh9eIz9 eItDWcIhPMVhrOYIlobPzzKO5F2OToh/r1E8xwzWcBIvcCIrWKfJ5ot8puda rceaan+apmiGpuuD/feaYB6vVeZ1Oq8x1uM0Vmes72iWeSXX6rSyrMv5SA91 W7PtVfGd3mqw9SCtMK/RG9Vqjr3lHMiTjPEE05nPATzONBazP/PYm0fZk0fC 78llvK/deqXXeqIbSvW8kO1ZEO4CrzOZu8L94E624zW24Q624na25tVwl7iN LbmVibzCFtwSxS/c5gAv85826a82qlmVuqcNuqT1ynR+phaZm/RHjfqtX1qo H2rQV33XN+WqXl/0UZ/1ST81L4r/B/4Dwctmmg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{323, 322, 326, 674, 665, 666, 664, 668, 667, 574, 670, 671, 669, 673, 672, 575, 676, 677, 675, 679, 678, 576, 653, 737, 638, 663, 597, 661, 596, 662, 573, 325, 324, 323}], Line[CompressedData[" 1:eJwl0tkylgEAgOFPB92HS5FIWSrNoERCtBKlkpoQKjWRnHeaFtrQIqQoFGmx JJHt95PcgANP08Ez817AG5ldmFwQEQRBMzkihXUSNwXBR04wwHEGSaCfY7zn KB+Ip48jvOMwvezgLfm8IY8ettPNITrJpYs4XpPDK7LpYBsvOchzsnhBLO0c oJVM2ojhGRk8YT9P2cpj0mlhH4+Ippm9PCCNh2yhiVTuksIc5cxyid1EcY/7 3KKBSkJUcJM6ClmkgGSSmOcyJxlimE8UsYedfGaE2zRSzRJV1LOLBYq5wRXC 1PCVU3zhNN+4yiglfOcMY1xjgrOMc44f1PKTUiY5zxTXmaaMX1xghots/tde +s0sc8yzwCIhlgizzAp/WOUva0wzTBct3KGOcooi/j+7Abw2bYE= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VvlFEAhtGv04YlJMgPwG2NBRYEElyLFJdSHFrc3d3d3d0d1kiCFHeH tkCV4nBuWJw8c9/MTL/eZEonpyWmxkVRlMWN+CjKiEVRkt4iLyGKypDrdRNt SjO+cttWqA35Rll+UZ2fVOOe9/TRvvSiNynctffUZLrRg+6k2ztqJ9rTgSTu 2NtoW1qT55yo+dpOy9GFAufO4fm0q5ZnJ4XOO8Jz6i6twEG+Ox/QH3pIK3Iy PL/zifD/6CmtxBl+O5/WP3pWK3OJOC4S4zJVqEtjGpFALT743DUtylWKcZ2P 4b61ODcpEe6XDHu6lgx3QKlwd2Ta62gRalM1fEfYw2doRUviucIb78+hhdfN ucB5Xtuy+cs554ia1AjPyjGOc5ijHOE9+9jPbvayh3eMZBTDGMFw3lI/3F24 t3DX1KMB9/3d/jqAfgxiIA/sqZrGYIYyhIf2MTqW0YxnHI/sE3USE5jCZB7b p+l0pjKTGTyxz9Y5zGIec3lqX6ALmc9iFvHMvlSXsYQVLOe5fZWuZiVrWcML +3rdwDo2sZGX9i26lc1sZxuv7HEU+O3lk0cuOWTzhc98IovM2P/f6j+pG5EQ "]], Line[CompressedData[" 1:eJwl0Dsvw1EYwOEjKlRJanG/tAaDUJQYmiBN+AAMNosPoJ+RurQDNve6VOmi iuhg6/OP4ckv582bnJOT3i/sHHSEEPbY7gxhmhlmyZBllRxr7NIkHQshRZUa r3yab2iTr+jMD9+sMEWLhr11XeKPLMtM8stHdFfUaJcXJnhinGcWeWSMB0ap sMA9I9wyzB0ZbhjiikGumeeSAc5JcsEcObrYZIs8dW8raz9n9FHi3fxUezkm zglv5kXt4ZBujkjE/v+7Df4+MSs= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1280, 1279, 1405, 1576, 1699, 1615, 1698, 1616, 1700, 1658, 1850, 1659, 1676, 1675, 1579, 1702, 1703, 1701, 1705, 1704, 1580, 1707, 1708, 1706, 1710, 1709, 1581, 1712, 1713, 1711, 1715, 1714, 1582, 1677, 1858, 1678, 1859, 1661, 1853, 1689, 1852, 1578, 1851, 1693, 1692, 1691, 1617, 1660, 1845, 1577, 1282, 1281, 1280}], Line[CompressedData[" 1:eJwl0llTzmEYwOEnvCVLSYSkGUedZMuS9U0KjZkcFGVfEsIMJ47lG8gB48jy HbJvkSVLIpR9zZIlZM+S6x0H1/zmf88zz3/mnmdkxZaSzXEhhDoyIiGksJWp 8SF08IG3vOcdU2jnDS95zSsm08YLnvKcZ+TymCc84BEPmcQ97tPKXe4wkdu0 0MwtbjKB69ygkSauMZ4rXKWBy1wihwtcpJ7znGMcJzjJUY5zjLEc5gi1HOIg Y9jDLvITQphNIbt9Z+tpreMUZznDKPNP2slHvvCZ0ebf9Dtf+cmP2D/Md2gN pXRRQjHT+MVv9rKP+UznDwvYzwGqibprm+bpdl3ITmbQTRl/KSc4E9Ueukjj dLH21DyN6BLtpUs1Xmdqb12mCbpcEzVf++oK7aMrtZ/O0iRdpf11tSZrgaZo hQ7QNTowtlsdpJWaqmt1cGzvOkTXaZqu16E6R9O1SofpBh2uc3WEbtQM3aSZ WhTbgfc9jyg5ZEX+v/1/v4JlFA== "]], Line[{1612, 1370, 1374, 1378, 1379, 1380, 1381, 1538, 1657, 1835, 1656, 1833, 1655, 1834, 1672, 1832, 1654, 1830, 1653, 1831, 1671, 1826, 1650, 1824, 1649, 1825, 1670, 1687, 1647, 1823, 1646, 1690, 1669, 1682, 1645, 1666, 1644, 1848, 1847, 1609, 1846, 1665, 1673, 1668, 1856, 1667, 1683, 1610, 1849, 1648, 1674, 1843, 1844, 1840, 1842, 1841, 1684, 1611, 1828, 1829, 1827, 1651, 1652, 1612}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak0lVsbB3BuiEppIpJSaUAuKkPFX0qGpEJlSCRCFCnxka5kiLoVdUmS lKE0GCJKFGW4ZD5mzuu8h2M+5yQ+EfVt317rXe/6rb33s/fz7L22vKOnufMf AgICTPLN/gv7d3Mm1UdgIfrPxuO3/4tzpg7qCuYjkJdQdRhV/i9apO/S03dG UH3TzFrz7DgOL+kTWlczgpiT6sI+78fwRF45OFaMC6X4Bzu1l45hcNz/m/Ue Lnz38zUNL33H6IZp5+c+XLyj5jmHfBtFv539pvhULr4e4IwFXhhF0rxbLirN XBy4t9s64ec3jK56o+YoxMMBHSlbu4hvSI296rddjYfyqx/fGsp+w97kjcvT jvNQ2Cm64PsbPu4ktzaX+/PQM//MgT0efERFWL/bep+Hm+bZChkb+DievXj3 YA4PLhfFP20t4+FEtzlvsI6H++pSJfX6PPwx75v+9mEeJLXle0U+c6ErapZc yOdBJW9gdd0rLpzc1Ov1xnkw3pA/lXWfC7vBnxVFkzwkSqnqvbzGRW6V6A3N XzwkrWsoKDrHxcFAn4Lnsw7ZZfbMgwsIRzJX/uZBdGihXPQZLpq09439Tawk u0vpsisXy3bU/Cwjtvq0cfd5Fy4E/t/4OP3/xoWl2cVgWeKS7qxwW2cuHOR1 5mgTiwSb5R9y4iIm01fQm/iVwAatnY5c3J8rNJlO/Mlh67iCAxdhi+kBNvGb S248iRNctJ6Yx145h48UtkHNfmMupC+X4LAwH27PsqwebSP5iL/7fW0uHxoP vY+LruFim9XDtTlifMg1Z6dFzOeCH6GUtE+Kj1OtayT0bo7g3/kPXnqt52OD yc92e4kRoPjtmJoaH4dDNRcUxQ6j26Nvc6QOH/0vNz1VXzsM6+yAGT9jPmQj XrvezxjCthTJuR9t+GDr/Wlwce4QJO3u/F7szkfiUh+tQ86DaM7W4Hr5k/2n 2XIqKgZQwr7Z336djxWigykhagOwnbZbfjCGePK8uXpiP4qNjTO+PuHD5q6+ /fXF/Rg6gcKIbD7WXQFLxrIPo1cfl7p+4uPc0Eoq/BEHcQPbX7t+5SP/HE9o D78X9w/G1l9v5iO9dU1ynVEvHjWvm/cvkw8lu9pLn9N60OB28cPmXj4UXmvn vF/Qg/V+QqwXA3wsqn/s7uDLhqetdilnmI/e/JntRs9ozExITesQU6yJwTw2 C+udJcoL+vhwjLzyQ3AzCxa51yLOUny4HPS0ifLtxrLfocxTjXzcSvziUJlA oYy76Wn2Zz6EPj5WkbFj4mR/y5hXJh+Xolv2mCp3ocP9rdK2u3zEeDBuKRR3 YGHO3ksZXnyo8XYzpz3aEZ1oK7+B1Hvg9rOn71Ta8Lelhwoty4e91UZRO+FW eEzFirq08sDJELT7yWvGi8s+AsxzPIQsU1XJG2lCkHAAs32Gi79+Fb8onGHg on3YxAy5ZysSJiP2sBvx3F9yV0TRCM5152QL9jRgSNqMI7ZkBPfMEvTO/KqH pEv69Fz7YcQ02dTNqNbD4Eb72O/UIaQlbzMx9a9D3ViIod3QID5st5sYzqqF U9uSZZe2DOJ2nYawQ2wN9pomdoWfG4CC7fMTwU+qcez8HtPiC/3gPoz3XxTz FdeVwuZcCOiD3fRYu25JFYQYS7/cDefA+6SZ3OTaKpgGMNdXxPVCyqCXm5dT iYMfFvm5vOmBW4jf+6sXKzHHKnl/cBMb8cayXSz7Sli6+JYOCLBhVPRoKZP0 G6YwjDQ1aLSOtnUNZFVi5YydrdE+FhZRV/tuba9CxMBSu0Uu3Uh1DfUeHKuC WMxdaQc1CoZWqZOD3K/g9NDyMm+74HXEc7BjbQ2WuI6bvbLthI6Mz22lO7Uo 9D0dukW+A+Myy3dKxddB2Sum0ke4HQJ1WWX8iHq4ljuLa81tw5x7jlHNdxvQ z5bPF1NoxS/jsz/+yWtEqsYziXrZFpwILdpV4tqE0ice94J3NyPM+vWafXot 2FkgbGJ4uwmfluTV6mq0ATf07m2d34TWG2FTh1Z2wCIjczoqlwHtgA8dpi87 wRNxK391noGswspqRV0mBntWDS/SZeB5Eyu+rorCqmtXxsylGfDPVHTb9Kwb B+Pi3df/wcDrOZ2Rt0+xIKNh0mkw0QiJnzKr5SRp8CiG1d/Emfcv+CkV0ZBT 4TzoFWRgaYr0fk8bNqT+s7v0wHIG5ErtDgkNspETiaZWVQaiYxPLnTx6cEE9 uvGlBQOBJnayjqwe2BRfbBQMZOC7w3ptaeNebPG1rl3zkgEX2bDFvU97EVfn 6+XYzYDBm4APh0Z7kZd1eOEH+SZ82CY4+lmHgzOmpkxNUieWY1SUeAAH2knS DdJvmvD9XWeF2wsOMirSq/MEm3Fjv/73FXUcqP9k3PS1aMYRlv5qy0EOpKjN 776mNWPq2ZItBj85YFX5q2n+asbKoEdsQaE++L9pCtl9tAUVAhOWEcJ9UN4a pmVW2QLv+3+I6vzioHVG2TASrVg+2nd0IZcDoRibnWq5rVDoMtYPauYgWCQw /bZiGx4UvAhi5nNwZY6YsGBiGxpTK4P3xnDwLXM+b2RxO8LkRNySPTkQ6UgV rwpux8ilRJ9qAw4eRFZsXfGtHX2+18rPS3PgX9W+RcezAwkSX0Xy6V5YZB1d cbW/AzKt6guU03vRIrYsz/h4J5i22WXhXr3oSjFokqjsxKhR8jwPjV7I5bjH Oql1YYsMR815ugdxFdyOvqguXK4xesAt6UHVq8Q75kNduFuepuUT2YOgxrPz 2MZMJPj2Pcw06UHSiYY8v0dMNEk0BBqI92DKo6xWfICJH7XpA8kNbLTbig98 2kxh9dqNISrxbIxtFqtvcKCgl/uvlpoLG09z4588vUWhaUNc+pAGG9eW5alm vKHwVzMn4uY8NnYsP866XkchpfzlsDpNgwoVkW/ppVAafryIW0jDwP9knNkY Bbui80eKE2gkPK8/N/WTgl9SgsLHEBrpYtHzPH9TWKtAV9Seo+H4MVZRnbjg 41GNDlsaXUI6peVkfH3Tn8Ml+2mI/qm1KHOcgkXx5WxHXRqSyqZfnEcohEqt PRu1lUZNgEDXHDYZL9y8hKNI45PsfJNdLRROu4sZ3F5PI29rCgIqKbgGutsf WUNDZ37pmrWFFDKdH+j/XkXjSnDn2vAMChXvhS0siA8X1WiNJ1GoTH7iukKO xoR9icDUHQrFksyzbWT+waMFT9hBFE7qyKuqKNAwiWe5C3lT+H5+rv8rsr6y wuGRf5wolBT4Zk2oknynFzQUWFGQcNdemK9JI3nnL2aYGYVTO/0PpZB8XjO9 HqfvpeD0OVX1+T4aHnXaCtO7KOTsCNA2MqNxb6dbhqUmhUHZeFujIzSmDnxn BG2lkLxA1yyY1Ms3OtHagLx/Q1FdGpQDjR2BcXtOqZLz27FK/qgzjW+1aZvj icu+zHUacKXh7O1r40XGr5t2j9vuTqMt6E/F9+rk/My6Iic9aMgcWW5ou41C /sLMUj1yPjWflmzU1qAwETJXd4UnjQUFC/V3aVG4kvQ1829iP4dM5UM7KGSl jKzKIK4OnGEq6lBwNOW+8iDWrFTidYOCd39EbxmJ1y19ydtKnwLHebVW11ma vLP+iUEk/2NXf6+sIusbcQaCD+0j9zH58KM0sr+kmxGJpYYUZix/GYSeoXE6 8HnJH8ak/0N7mpkbDSfJ0tYWYvF+CYkdJL9PbNNQcxMKH0+HiB1yodGR5xgd TNy/cFz73mkak5PiTn7E/8yPPStCLBqVW7aHWE49Oe4pqVfNsWm1+cSrayKm LhCX20e/rSDxPUzENs7WU/nA69ggYmV76zRD4lXMlRc0iHdUh/0wIL464qI/ YkThYa5CshlxMKuzLIRYZMXCa2eIdfQHHm0mpuUVH0TNxl+kNcIk+SV/d68o JF6XaZybQpzS0qY7SHwjzvx4IHE7qzV8KdlvrbHlJifiVf+mntYkrpPbm3+M uLJ6ON2SeDQ09MQR4t7UH1NniDWsijxsZuuXG53gT8xMbLjnQJynUhZ7lVi4 tHqHK/E6mTDdMOKWx401XsSb97O6rhMnZhxo+s9s/HDGlwjii41CfcHETn9t 0Z91w5br1lHEL2c0xWbn57F2jyUQM2+6c4OIs7+cWfeMWLxFcWZ2/YRym3cZ xNX5dYI+xCveRzTkEA+Gx0V6Eo+039LLI37q9YXlTlzVfOFWPnFpkmG9K/GC F1b8Wec+t3M4Tfz7vHn8rP/KlrrhRJzj5eY8O/+K4sMJR2J2cebLXOIbwl80 Z224pOfLG+Lyn5IrZ82YyB/KIrYKKPeata2cb2Imsc7FZb2zHk8SCJrd72F9 a+9TxEFXrO++Jl66sUpsdj3rDItjr4i33U5Tcib+H47bFFY= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Qk0VtvfB/Dimr3qEkpSShNXIUmmrzENdEmSModESColTVJplKSES5Oo zCJCSmaZ5wyHY3p49GSI55Ghd/ffa5111medvff57nP2+R1ZJ+99LlwLFixg k+PPedJ2u4L0+Sk0bKxdbxMyBX+2rr1txBR267eMK0xOgv9+/ONvBVOI35bs 6yk/iZ8qL9kSA1OIuhdSoO/xEx9FdieM87IR/FzMwKNiAk8MI45WrmOjhte1 aZHyBLKt9vDEGLHxzOOvrpCYcQj7KmocPcLGnX1FfTai4xhMXPJ2zWU26ozd 13NujyEgqJNZE8VGTmzx5VHBMaifNrNMTmajf/0FvZ/po6hIknPn+syGr3f3 IjPbUcz8e26kop4NN4Gk6X6BUezJK4/m7WPDy7TTQ9XnB1QW+mi8+8lGuMtH Oq6eBQZD4eEeNhvKTmxbOoeF0p57FtQ0G3Hu95y2PWNhvGqfn/csG8KOqoUv g1mYmVGen5lno0Tc/F/5EyycejAlpP2bDd7nXbPZnixo1vstvkgcvKVu0NiD hYijmUIFxKa7VixucWNhqzb3DYrYyigiI+YoCwv+1zhw/V9jwXfEzW8VccEP b6lNLiyIWFwe0SX2DajonDzCwl9tQvVXiHl5Za5ecyTzvzJLLiRGZoKLuD0L c0f3XuFeyIGXhP21OBsWkueTPt3k5sB9iXmnhSELepd77YR5OWA5mg0t+4cF bYnXh27zcxBOPb/AFmPBNfl9Oq8QB9sLOr1GZr7j7NpkHvPlHAjwN9i22HxH xeaz/03Kc+D0QkMh/vMIll3x+jW+nQOZQ84fN8mPYK1TfKzxTg6CvUrXGz5i QjDio9i4JQeey8Y8P/Ew4RG6QMTpGAf2Ld0FTUrDqHoqd1P/PAevJ8w9ppyG 8HJffOK92xzs0Lwc8iGKgaeNGeV6kRzU63+oL/o2CE647BGreA5ylzau/rxy ENw7G1Ur0znoVqrNPuI+gAyZUC9WAQcK/K4X+c72Y2ewf1VXOQfWLdfP2IX0 4ZoAV1FYLQea397f70jphfnCozK8jRysmBrL5mujceNZ6EYl4vPhYuanBWkI lku0/V8dBypr186UGvTAWjGUGV3BgXfgwTdJQd0QU7N+75vLQV4R94Drry6s rlaUOBrHwRxD6vFp/k6cieA2vhHMwTqDAl99lXYMqExEspw5eH9hVXHamTbU rin/+FmDg+m3DveKG1vgZStbuVmQAy4NudmwPc1oCjWQONnAxkyAWTi+NSI3 18Km9Qobggm7P61a0oC3uhnJYeT70t1zOObiqTpkqz1lnCicwjFkKOSP12Bk //y/ZgemsLX8Y7i3XhU0vdRFVvVOQlqvaHVfbQUMDfMsm49NwuvDrrm66DLM +r8I82D+xHeJBxG9T0twJzXf64PGT2xW6PmLMiqCb1FkSGbQBGRJMbimUwjr pd+nwybGEeJ5+LxZ+yf4zlbE2jqOo3n2/TJR/QLUVOTP9VePQc/5o5ywZD6o nX66Q1pjWCvseadfMRfmv88fE04chQxvm/aLSzmQvMS7sEt6FO3FEuMcnmw8 VQpMSF75A3T4/JBBbhZu1TME8wRZuHar/UJgZCYaOtozHl0cgdm9xVHWW9+B S9SG6bmAiaHTbkEW4hnIXKSTdDh0CFO7NOTTlNLxfZ1Ut6gKA6uGhP4LvZSG C4c6HCfoAUQmiV1KmEmFaoSd8fKX/eD9vWtoLjYVR6zn7U6f7oPMfQG5bLdU HJSSUyo+0AsfsZtJrH2pWJN6904MLw2f/w7oRx5JxcStsPVjVd3YU/T6eMzz VEj/fhgRYEUhL09qIl8kDSl6BS8GtDthEdB7+Xt8GlLv6ixmmLRj6eDv54re JJ+U80vDwDZ0eLdUerlm4Jmg57bS9hYYrDFSD7j/DjrOvAd2WTVjeZjY9PBo JoTVTWqy3jYCLKELO4ffo/Oqu7KLQgOScrNDb+p/gF9+oopwQx0k+9Ra67nz wbPwbHtkbC2ynZfHREt/Qn+E1x5P6Rok7sw5v4n9GY567qon1augVrXFxVuy CM0SrX0H71VCi7n4UGNgCXTndB1DllXgu29UJbdOObY8zhBraiqDSkvIvInJ V4w5CHWoFJTiR9l0z+KUGlK3tFon6kqwJKPzzsP0OsRwmSBWsAT/5L39uTmz AS92+QdNuBRDJNuOP7i9CStbd9bQ3UXQzvfS51rVimhJvaT7Z4tgnzGRbXn+ G7Z9VZOaUStC4m1rh2ifDvAv2O9syVOENvNTUiuOd8HoRGOjNf0FJRHeatkq 3TjnF2rT8vULlL8uHpb8pwediwPd0758gZus6pvHK2ksXfcukSr+gksnPjFa BXtxjrr41rOe9G+8KlvB7IWVLEvXn/EFN9MtTbM+9eGpidWwGl8R4vniAk2D +3Eg7zhnQLEIhRrO3a/0BhCU4vCi63ARNKUuhGiNDIC9vVAg8H4RPOxapXpv DMIkELKGlUUY29sblr+EAXdp6adxQsXoCHo8tTmMgSuW7pvUXYtRdE/fniE7 hHdB4S23y4rhVSfebBw1BJ1UJcde5RKoREq2yy0chgN93C3yWQlGTJ9u9bYc hnBM0z+rJUtx6MnnLeKRw0iO3B43H1qK3O/xZaO1w9gUZt315e8yHFc1csud GUacS9ILsUdl6HUe1+CTZuJv1vbmq1vLscZqkb+xGhNPnuSZaX0rh8rpjT2y O5g4ZjfK/e1qBdJ+WQ/omDKxYfp1BY9KJeZcD8T+Rewdw/vLp68SmgssQmNI /8ORk+atkV8ROhz7hkeTCc2bc7qc/VX4P57sRj4FJvi3KniFi1Zjn+RY015J Jh4oxtuljlTjwLUzLepzw3hx2EbjVUUNNkvnGWdSw3Ab/uq75EAt8g6H+BgX DOP8GLfl6bJadN+e7joYPYz22fk7e7Xq0HgxIE/HbxjPY3vWn02rQ/Gz86o6 ZsP44awsU76+HiVS75gh64dReNL/UmBSPTSiB7W2cYZIXXYN01RtgOZcaLZq 6RC+xiQOZ+Q24NbfB4OyHg5BerWxQ4JBI3Si5uz6HIawqotPvKGyESl+FWd7 FIYguKz4CtOiCfV8DKpqkoHcZI3YV2RfO6qMPS79yMDeI68T9vg0w/7FlYD6 ywxUzzFFMnhacPLm9uVzegykPm665BXRArVz3O2eXAyYSt1YJbKxFW9MM5/v KRzEBhX+E7LvW8HQuKPx8cogqDhrQ3X9NljIht9g6Q5idVRSV295G2QU9eN5 Fwxi4ZabX5I9v8Httai1csoAdFPlHmcJtmOLSMaFWrsB3Dl3oU3naTvSfyR3 ay0aQKff15goxQ5Mf88qq/3UDxPt/au3pnegKevBwkHffkiEHF58W7ET6sIT eW0b+hG+1+jirnudKIrzGV/O7ENei3rl2GAnpNYphq5N6YPjwupIF40uCEQP CGwgdbQ48LrHo2tdmD7hNmuu3YetJk+Kr5V34Yj3hpfVfH0QfRgkZcRLQelE 2p7ixl6M2NjGOeykwDXAb/Uoohe1c3wbay5R2BAgrpHt0Asl/t5LokkUonrE lK0Ue7H2mIJXeS2FPpPmM6HzNM6NzdW9YVIY1JUrPNNIo3q7zIHL8xR4xIKl +VNoDKQ0H/Xn6UbLQZVvYrdphNw7mzjA141bDnflI4/TeG6Q0rGcePcmeW0n CxrNvpfFk7m7MfrKe9lq0OgWumF0YJbCXpaX5JXNNDK4pjdsZlEYDch6KyVH 4+zd6vnWTgqn5Zd5XpGmcdj5YIPCVwrZcvEq+ktp8KUb5/TmUEgLXKM4KEFj SvXT0qfxxLz2Hb8kadh2ynD1hVMQWBZUIricRkRYk6XkNQoRquLtr0n9yp7X fBB8moK+9Dqfk2tpaAZay3w/Rv43o0JORfI0HhXrZtnaU5BYs7P/hBKN6E1t vAOWFExWvPP+V42GgK/9q1umFF6JzppoadGwlhtZvHsHhQRnl5dL9WmY/s6J XqFL4YfR6yMVxjRi1e7kb9KgkGIYmbN+L42Rx9Uaj7ZSCFk9nfb3fhp1H6+3 bFOhcG08tPSUNQ1LufF/fm6m4PahzszQjkbU/ic8bzZReD/8M+GcEw1k91zf Rmyp6GEh5kpjZbnzxvPEXwOHVi05RoO78u7V/WS8/cMwm0APGjN6ukMvlSgU 8ynwHvWk4d41oCa0hcJK5cKVGt40hKNKtTpJntk5LrPtJ2jUCD5u6VanEGb9 qTCYuI83qnBAk0IkSz3FhFiA8cCsQofCwzvi0fFk/Lr+G7kn9CiUu+rK5HiR 91WQXKBuSGFrU9Yye3I/fxtm/AXyfGbSJTcxSZ5ff+e2a5L9aWdpNBDgTmOF jFziuV0UMu7/OytP8v9a90rTcDcF3T5D7b/caDgm8tQkEot4LE9YfJTsT5ff oSXEDKnr+fvI+v9bOjmVQ1xj3cH87UJjX6a9cgxxtf25M3nE49H+BmeIT11u dr9BPFzW/+vP/JmjyW/tic2H1jOEiXMT5ecNiN/N7jhUS/JEzu0T30L8YNG2 VH3iG4dUvRWJPYqvu3wg+asyG/12EudRv7YYEMul7Bf1I977zMe115hC4YqH LsnElAhzKpq49EmB8gBxnGtAnhfxxm9O1UtJftGbG6Msid2MY3P1iUejzOVM iZtEUyudiOtt8zvMiLP22/8+S2xsFXnNhjj1h+Pe68StK5R8jxNvHgvWvUPc HnjwwwXigDrdJ3/8/KsGXzCxkw+76hbxWoeRpFDi12uCxm4Qz5608I4k3rfc 4lAQMds+afVz4rRRyuIysf9v3/QE4h1+hjIBxD0vPXKSibd88D7iRxxzSMEs g/jHsZahk3/mn40NzSIua37b7kWsbdb0IvtPnp0VFh7EpwQLWDnEub9KdrsS X4rz6vlz3Xv/Tb0jxHW9d9PfE7cofzH7s/4d4xHGf+aboHnqHYn/HzAB0u0= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1nk0Ve/3B3AhKkOmTBGlT2iglKnwppIplIoURSGfEOXzNUskUzKVrnkW VyRkKjJUyhQZyny5Ml3ulVTK+Dv99Tv/POu1nr33s/ezzjrrbL/ibGLLzMTE xL6Oienvetl/PSuxaM6yPu4nvY6HmZvUsVOMVQQqo1SmPBYL/XGlZt0r6Ey2 Xn52MgacBgZM4W+WoVJlsD1lSyS6jaM6LSuX4Ku50DucGAYr3l92j/wXwWtp LiZ+IgilCXnSD8/9QcicYIlCfwBszr94YKX4Gy6jZ9Qqpe5g7nhq+5DkAh5y WwdNznjjewC3r+mnn9h9z1x3KNodcgeNQj49/AHhYZ2rLMr/oVlociD52jyu tDIdzkq4iQq2Rvklg++45J/3sn6rM7he8Vdt2zAHjSwbjRYtB1wwPTXp8WIW ISPs6efN7DGy3X3qF30GXMF5YyIptmjalc3DZUsD71iJY0nZVYjmSdokC0zi X9MD+5gdrsDVnRb56f4YJMduObJ4WKM5bYBvl84orvroUt5wWyOSXbxxX+Qw NrhfKjVWsgZ9B83m160B2Da/V5YVuwK3Td+EUl16oLZwKfpa7VUscPuVbuvv xrbJrM0kL1toOmRksoV34vSxsZPqpdcQGn5JdMr7E2y2Zol8CbyOQ2Hj+7V0 2/DTs6fSkfUGLNUGetxWmjHwZu3muT03EfAr8EIHZyNkguV253e6YitthKfL sQGu5keEEwXdsSXlEn/LnTdob/v9ltvAB+UbbJJ0/9RCj7d3ze6uP0ieZopc oTXwFxFdVCi+i67+bvdEw2qM1VWNXDsYhHyvVIk5tVfYk1Hoq80filqrsqV1 ZyuhZcPyru9yOAZDAjmXI8tRJW6ikS4QBTXNqgPHGKWo8d7K/UszBs1xXUs8 aS/wzv1ATLb1I5AinDOF7UvgFzMz0dPwGD/GWPqZtYsRNX43dL1nPNxCtd9H KBZhT0Vmdqx/EqJ0fSKjVJ5j6twnqWVaKpwagvJFNhfiW+AKm5tlOqgjDLJ7 TQEy3ZUtucYzQFPpmnHwz4cYd0IGZ0wWqmSG/Q6cfYpG5iXZGzZPEHFrOyuX ch4CuCacL1nlojBS5GIHXx5MXiaXqDzJxacHt1j7GWRc967L7JvJhXfvbNKu ZjKm0+11Thwig0f+av2LHDKOjJ3N8fUhQ+78NOu+LDIUuywK6u6SoalU/S07 jYzfse/q2e+TQf5Uc08imYylp4KTxjFkcOwP87JIJENEo+n2j1gyEuL/Pv+/ ZqWnjn0hkWG5kr+kTuQ13Sm/KPiYjCCV9BEqUddmjjnpIVHH6INj6b5cIt7W M5A3koyhbUfjvQrJ+CbOvCWKOLf6Vu6DxjIyFg4+qMu2J0M8tEb0NFMe7AN/ 5i1rk/F0Mew6WT8PHRqrNx9JkRFcphfdFZuHnK6Mcsd1ZMjzqpK7RvLglWf0 jpuWg1ChsiG2kALED2gKt48+QXXohGSP8nNENyX9oNKzUbr5nzmptiI0LJ3S D2TPxsMyvqj68BIUzT/ctSSfBe/3zPVPXUvheIBljWSXCemxZQV6UDkCop37 5NoyMBobOiJqUoly3+QsYc0M7PAKvnxC/RVoZRUtbJXp4LS6GsKuX41repTi AtV0qHMwjGY9azDs4ev1ti4NBcwCuloTtbjs1OrVqZWGkPdB6d4m9dB3C6OR YlMhab3S+r8vb7AqdYk1sSIFPF+caHzu73Dy+M+QX9PJuBxhac6v8B7azAeN FuSS4UqaJ3NubMTaBQv9b3eSwPZSNNR6uQn9g2+GiiIS4aKuZdul9hF97rW/ n1YlQOm1ffvT4XbUyIsxOg8lwHHP4/W5RzuQ6vBiq19VPIqYlDKqSzvx5vz1 4S8m8Xg62uHyQaUbXVeOOfMsxIH95xEl06bPuG8u9+pKbhz09jGmc+17YLnh qiuPXRyqto5zVvH24X9pYmf/PRCHQumpaYuifmw4eY9rkC0OuqxtNhmmg+hu PcHdM0ZCTbRWpdbaENiNVD1aW0nw6GjRuHF2GHcWT8oovybBVWKAKVhmBDTD YxWxZSQUCvgEVS2OoK/hnacLYa9t7km0Rip0Ulwel70l4YN8f88a51dkdTJz pg6QMGTsK+ywaQwrwQEG9AUS0oSP9EZ0jGHZYUgvWyQOFQelxEVjxiG8Xvrd Za04iCZMONvrToBnblG1+kYcFs0YHMw/J+A5bRtlmx4H6Qdb5+JJk1gTzK5m 743Djo1XhDj2T+E2l4ut+ZZ4jN+ufXz29RQctXw9BU3jkS/3STX2KA3KRgbv MzviYb4jPCxZYBq5H09s33IxAWLaIhbUxml8mDfSq+hIQMKQe8EZ/Rm4uH52 2ns6EVEhXhHJL2cgY/XhLefnRNT+yfqkJUbHw41p/7FYJ0Ft+viOGhc6WKy0 vr6fS8J+GTvBoEo6Ls5pK4qHJCPA4V3i3AId5vWJE+1SKXgmUWZ+dB8Dp33S kivfpuAVKcwx6QIDz9a6YxZTU5Hzg9uu6z4D8UVVmV+J93Od7mYRoRIGTrGX iK2Vp8Hd6beyZAcDuV4H72kqpEPM9JS0DY2Bdm8Ogczn6eD3Nm4RXmHAyvfM 9V0HM8D7OE5Pg2MWTvyn6j5WZiBgO690zpZZPL+0qpp1PBNdAqqFa2KzsBsp dlumZeLi0B1Pux2zOPydN0GElIWNlSouIv/MQoq/IENQLxtCbhyqGYRVd9qo 8a17gnbLkquOO2fBck9KUa7mCRr/qapp3j6L03zWHJF3c+BZze+8btssbu1n iblolIuVXRmTEJlFhO/5pz47yFip3OibwD+LJX5b77AVMp7/u+SlwTWL6emN LCWUPNyTnXx0jG0WD8JoNf80PoXDsk7Fq1UGJGQqA/lf5oNVyd/kxS8Gllhe mD4rLkBDwIChMoMBE99FI9mSZ4hzdfpsMMZAolxxBGOiENY6Uqy2fQyUB3Tt XXn4HPeiOC7/+MjAjij1L+2qRaB5Tj9frmcgPUrEMnmsCLknVlZvlzHwNf3b 6QhSMZR/Fv/0IjPQ2/Mnr824BKNSPmqziQzsVjuUuOfwC/hpaB9IDWNAKv2g X5RcKfJZfoR7ezCwjhxWaryvDKqsYvK3bRlwOd2p+lKpHPMpecpppxkYv+Ci KmlQAXONBKU+NQbE5plT2q9XYtGh0HCnNAMT/maysj0voSx8/fxNDgYsNltp yphVQU1+IEGTQYd//BFmw8lq7GyICAtoo0P2es8G7vAahJ8wdJAupEO7tbbC Ib0WEkqxNyUe0EE5w/3fin0deEJ2eC060bFa9ymFV6UeJeMyv90N6djwutL6 NfcbuJNuNz7YQ8c017X9AvQ3UB9lE1LYQAfPtBGPeOdbqFvsdbw4OoOQzvQp t4sNUPJUfjKROQO1VDI0fr/H5ne7L2tbzSDdvmgvF7kRQREKb02FZ5C/djzz gFMzKtXnFde3TONeaItC5rFW2CzY8RzznoaIsfLrP7vbiP9DhHPtmoZMEe+8 nWI7rLkjDFToNBgaCtdI9LTDUenrlYRiGrZpSu0/5/sJstX5V9XcaNjHEuf3 dGcHfJiXh2VVaFguaNhT3dqBFBWP7Ju/p7Da/Zq1IbUTCtMv297nTCFok5fR 6K0uLCfLOoyenYKtWXSM+IluXKoLYFlYm4S4gqeL2nw3dBQtzryumEQZX22I ROpnzCqvcfznMokART75f/S+YJvQcuRR6UlUiSx75Xz7AgpH2sPzgxPwl07i XH3Ug1NC21YmYyZge+WnyIMTvaD5F+4T0ZzAaX7xpnvfe7FY/61ZhT6Oc8Yn Wzji+jD71rE8KWEcqyynzQ2V+nHfLI6erDuOIQGpgOCWfjiubYuLWxjDYa5V vU0XBlBSMjlMyxlDSPwma/XhAShybQmrPj8GbXuvNmOLQXT4PlQu5xhDZ8X4 2YHWQfQwqFIqdV8xrBRxL/XQEKYrVl2SPL8iIeLbdc+oIXhs4Xc7rPgVKbJV e26MDGFvW7GI9Y9RzEsFfK2RoOBFZxDD6/UomBg9PvPnKHBhmmgtvD+K49/9 /AwDKdhuQR7ebjEKW7LFnp1PKeDaa/1rWn4U0pE8boNNFLAWaUltZx8Fx3et uplRCmz5G/xbRqhIiH6mIr5EgYxHfvhSGRVty4sZ6azDIP96JtcdTYXxq2Xu d+zD6Jz9GaZ8i4rPbIqJUYQvSnHsoZtRsWlU5088EZ+3e2n62VEq1gdEGlJX KcgWuGy9S4GKF64fa7vnKaCd3sXeIk2FpLngXr4JCjQqg//bKUkFF4dqu1Av BR+UR3d/E6Wi0Vrv/AWi3yiznQV0ISoUnLQMNV9R0OQQRO4TpOIPsqZ25FOg z0EV+h+xf/+XZAUtgYJ0n5W5WREq9i4tf3ALI+bTb+FaEKdiwppLl9+bgpMK JDk5KSoqv9dy/nakgF/l8jlNWSrqB59k6ltRcEpaunFYnorQ7PV+ksT9Ljdd bWhWomKOt8XPS4+CYlt9KVtQ0UQ6xCelScF1ueAb1TpUbG5iHVlSoRDfXRfT SGMqKs5MXPxykAKTX94byKZUnIhfrfLdT8G3dRm7aRZULB/lvVAkR8GTXpFw rStU/C49q6pAuKEmPy/PjoqCyBnXfMIBXqFPpv6lgvfsW0afPAWCW0VEnR2p iD1ctxR9gIKXwh02ejeIeiMTA2TiPOps/MtQZyp+Jp/VWVOkwKljjeWYCxXW t8/nuhL9MV2wp4UQdvw9WRh8hIL5bNJeC8KXlGjnfTQoSBD4s66GyB/LifM5 pEXBNrdX/R1E/S0HM0OTjlGwOZauWepEReCKtBZZmwLXDo6TfkQ/7NRZc1Md CiyCRL21HajYuCoQO6hLQY2YSsQg0b9tUt/3ceL++FPoQQn2VJTyqZkE6FNQ 3frWKOQaFRvEu97VE64fFDLIJ+bnfitmX0X4oW1tAxthly2BL/7GM1nq6z+y pSL5EYudNGGWhvJ+I8Iy9iXZvUT9tmaX3EOE2V67qQQTDo5/9H03YUntYYFD hJ94LNXJEa60lXccJfpLuZWlok7Y1XxPCYlwdOzH3DOEE0T9ikwIX53izXIm LOVYFS9IeNo/ziWCcPMEpYpKzGscZdrw7G+8TqVROeE817oDbYRTTSz3PiIs lxkSwiCsMfyY4UE4de+1MQ5iHpKbRKglYQ/PwF4FwurmVXRjwmbrNApMCDt/ FVY3JCyi8njtOuGI+DOxJoTX3Uzd6kN4oZjP4G++5UaruiDC0bHqJGfCD9ZH 54QTFtliz32X8IpaeOd9wmJKyffCCet4XEkIJRwaNqEfS3iHvHfM3/z/A7MX HE0= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd03k8VekbAHBaDIrG2LNNFBMh201dPNZkGdmmqOxrokRCypJBIkuDFCFb 0kWLtkHIFmGyXvu591xrXPtSiN97fn+cz/l8P+/7Pst53nPA+Yql2w4WFpb3 6CHeKx/4Luse7wLLej75C4mrMPBZlq3FrgtaTWriqRKrIKNw41h6TBcEzZML lgpXgHmDLaf3RRdw3JI+q0RagRsNYm6x/V3g3f59s6F1GTxSlSWecnZDpMFl B4r1MrCLTGuzkLvBpsRB++rYEoh+XTuV4dUN8/6fxSVDl8A9zepc6MNuUEqw TWGKLUExf4puWVM3fLK9xxCrXwScL72lfLsb9sYopRnaLUJHkkhsFakHaqtY ptW3FiDbYyuh07sH2EuFrgkULsDbLs9zm096oGQj57aU9QL0nWDSdXt7IDey 5XvlLwtAYdLWtvh74WTsgR8fy+YBY34wD7DuBXqNGds9+3nYsbvN8FVyL3QX m/g48s5D0K6b5rVtvTDRfcdcPGMOnJ594ihhpwLroZJOLuE5OPBL7TPcnAqG 4V1sGrdnIdtHk+PqAyoknH79XW2NCUZJpIueQ1TQWV0JTbnOhBUdizyqRB9E nXIVlN6egZskXtNWpz5QT/K5MJY4AzqV+1yrX/XBnOseHjXuGeDbDD4bxdoP /kX3eh6kTYNnwD5QNuuH7fEdou0y08B72UWyL70fXF0ldrbUfIMBmxrlGHo/ kCP6NAsdv0H5Xz/0ikkDMOKvf792eQoyc1QLxWIHIG6TjZSdNAVvdpOvrPQN gGk/G8lEZQrOiJg760kPgnvmvo21wUlwWsCEP4QPQgpkYOLBk5Dw6JlZLnUQ fmNEBguKTYLMo58ZfHJDsKRbWMDRNAHLauVsUiFDcHux1Ebn+gS07uQMsugb gvX7tEcbwmg97YFt0dFh6HUzM2mrG4eYTDay9t/DkPeHFe2n3zi0KIyUKXYN w9NRqv6q9DjEqz+3TVYYgcJOgaqa9jF4dS45XjByBEaWH0Q73xwDh9+reaa+ jkAJ7iOvrzgGdJ4fKfJCGDz/3ojNjI9C5/x/Udy2GKg95n67kTsK4vWLH9/9 g4GHhH+EpMsotM3Wbp39jEEEKazygMwoqL9MVDywhoHiMaZBwywDhkzsDFi5 aJCer1mp9IkBo2ryBTGiNLjNz3n3xwMGPC49Jq4mS4PVGs0SDl8G7G9uGxQh 0aCUka1lYcyAYt/MKjNtGjQzi5ZqpBmQvuATy69LA5NrSiYHf2dA+RtR1jY9 GkjHOMdkCDNg2NPUKMCABoV57YnSvAx4y3wWzW1Ig8Op7qYNexkQIDWYQ0LW SLXlkkLe2beYYo88yX6DJWIPA/zj152jkf0Gag9hnAygpoVoP0Le0Tern4B8 in6DrxSZk5rnq4ncke9PrUW+rGpTMsPBAK1GZlIPsj8lZTUD2WJ8fH4TWeK5 SO46OwMcomZlD56igUh1RZgtMrs8N5gg9/VdTnz/CwMMakKmm41ocMfLbyqY lQEDiUmLx01owFs6/t5sA4d1A0pwhikN9oTfHSet4JD+KKxw9k/Uj63yeeU5 HHb4irlPWNHAWqb2qFkHDuZKT2eDbWjgO/bqvt0bHF5ZDUpVnKdB9ButeOsM HDqnZcVq7FB9GkkqMpE4tBWEc2XZ02DTRiWu2RsHXOtsBCsyx+k7nLmncagk 2w94ofNmTxyTttVw4M/xkhM6SwOZaxPiFRI41IkOrhpY0OAzRUWEshcHv0cp eQrGNGDELSgXbdKBkZDMwYnmF7Fr3Cdyjg7vvoUb7Ufz3vXwEp8VTofEPMvg g4dp4PqQ7/CFfjrEeLEMxYvQgPqTh0u5mw6KwZnRFHSfftb71rt30mFrO0o3 dxuDm5MfneK76KDa5zgaPIrBhTD+EBKVDnqGVwe8ifvZWbUvZJgOyRTV2PkS DE6ahUu+GEP5+BOtbVIx0Bo7IuCI6qmcS6zAQjFwm5M8KL6O8u/jGaJ4YfCx WvRWzG4czj2p4umywUApOotPnwcH15V/mb+dxGBzSjGa6L94JPBJBwmD3iYj 3wZ5HExK0vXpshj4P0yy2EnGId9PaopVEoO/uEJHFAxxkD/spTUhgsGJXtsJ QUscSPz0K5ro/+Nt2Op9ch4HzSYucokABr7bA8waFxxGZYssMWSXHe2egV44 CKlUcYeh/VHBDuWdV3BYNWCJ0EDxVvffbp70x+H9Ce8fbeIYjPR/bey5jkOQ QdGvCyg/Jynk64cgHOSsWk5eksEg/KKV5rtgHB6eq7NWksNA8llhzBKygHeI 23cFDIQ1HHhrkP+QFM2iKGNw8eOopCJyxkz0PU3Ub46nA48lilci9G7j8XEM 9PJS9h8PxIF+JupFnQYGByTYlZcCcLg4bdr6QxsDlpXFjR5UX3UrVTBBH4PH poGpD6/i8E/M2K6bhhg4y1A77VA/PJKi+k1GaD7DjaFkHxyiXVw7gk0wILkF 9epfwiHus++hXFMMvjA8jkZfxEGy7Hamxp8YZA3vddP2xOGYj6TGPWTZn4qz f3jgIHw0/kw28lR08RC443BS9ZZAKLJdTcWXSDccFLGgI6rIVSZkpUVXHFwm OxK/oPgvSgOLYpC9VO5lWyAHC91k1UW2HJKraEH1UMRZTYWRN0raQBPZYJdW AAfy95Vn90uNMYizavLmRv7w325pKWSLZzK6B5GPXz+55IL6Y65QWM4jZ5/a w11xCoPzVZJBecgNhWFbR5D9/dbqlpFPtDnGVKDvszPb7LUhqlddq5DsjtzZ ONmVhpzDF/ebHLHu9tVyBNn915llNuQ086E2EdTvSPw1xVV0X12GDu03Q46T i+hZRtawvMsWgCxRILCwjjyRn06JRSYXN1/aTczD7bXHQ+TiLFkpXuTewe2C fOTm6jAeKeStBLPR58hdUxrmqsgzB6ufliEr+Hiyn0b2lTNmEq4v65z0RJ7n OWpM7Hf7JBUYjmz0VOVcHrF+IaM+Bdk+yC6SyPfnlpdNAbLtmZSZBKKeS041 L5AbuKfeRiH/OsNq/gG5rMOK5xYye8uATjUyVajWlOin7Z7Y+CfkNe+tR5eR rSfD2+uRX9WHG3sgm0LlzzrkwzQ3eWdkAaa3Uy3yZrU9twNy5vZQUxWyu+e3 dDvkMpHHV/5FDswodiT8Ssfr0Dvk9J7XVMIJTVES5ch1Isca7ZGXGtfCXyJH nZTbIOIZf2zzKUPmSrYCJ+RWKGgvIfKd+BlJ5Nf+mzeHgrxMUi93Qf5ioB7/ HDnujo6NG3Jyu7cJ4YH3lWHuyFmK5FTCLpGhCkQ/Baxah4jzyWMvgwiPnjDM IEyuKwon3EWJ5ybyHbk740NY54vedcIbPTQjwnFZZYdLkWtv+fYQ8evzS70I 9462BBAW3NNpT/iS31sDwjeAm0R43MxSjzC/+P7/n3+Qmm9IuOx3OQnCUi8H TAlH0gUFCcfts7UknCfvyUPYdYh8lrD6VU0uwkcE684TNvTz5yS8ntboQDjW oYWdMKPcyYXw/wAG58Q/ "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.48875, 0.575}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.50875, 0.595}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.5999999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHd0T2m3+CO60VsQgkGYEZ3oORijhiEhRGIYRBtdtGH0XpOIjAlDiF4i kaiDrxoEESkSEtIT6VWLIddd6/vZ567j9/5y3Zn3rveud/76rs/aZz/fvZ9z zn72U/ZpOG6mlYOhgYGBXWkDg//8Xb74Q0uTNZG6H26s0o3u5q30vjIjzHt4 iHAlwyuv11r6C480+amqz9nDwuiP6vss8mrP66IPow+jD6Nf4uSbcCuH+6IP ow+jD6M/omy5qXN6h4g+jD6MPoy+2SWjyV1tIkQfRh9GH0a/2MwmE0tMfib6 MPow+jD6aU61Tyd1ixV9GH0Yfdg/sdgz+zg/ZfjUBm3u3YpX7Kd7NCwbFCCc mjcmdfYvYcKmPlnfRPs/E0Zf901T71ODk0QfRh/m+q/qtWzlGv5CroeRb3/V 3mvh2DSRw8jfP+zaYnRKhhK323zlpOnhuufz91VoNX6nYqkbNDR/caAw/QMf 3GDfrV2XS8Loe7zfnTNyRZzow+jD6MP0J9z+5IbDZSq6KOXCPWd1L5co7Oh9 LKvh9mRlfXDTX5qdevKJ/PkGnxml6qYqljV2dv992SO5nv6Dub7f+PMZqQfS hU9300172CJLaeBd+c4uj+si53nAX54HGPthrscfrtf6x/2Hub8w9xN/YOTc T5j7uavEH9vdNoUogROnVbLr8EJZsm3qz7ZjtuhqNUxf+dXwQ8J9+kY+qh8d q3SOv9FjkGe4UqfgxcMX2UlKtaEJpaIdjioj1763dNuUKf2NvegX+H5fxaWR yvgXfm1TRvHfIxXvBnFDSkxOkP7kfsG0h3/IYeS0B7fZ7B7Ra9ETnZnXseFm s2Yp208GN9/8Q5jwy8Byy8L6PxL2illzoPuEAGGJN3qe3ejVgKD214Un378f d6ucnzDPa7mv9v6eNeai3G8Y/83nO182HXxGODryxIXzs3Wi36og9ckG69ui D3P9zQYJow4G3BR2D8kZOSPqruintyqetuX3INGHuX7G2kKbjpmBwvt3r/3a wCBY9K/HVU6xeRAm+jDXl5+/5WjC+lDhBd+5NrtbJVz03XaYJNePfir6MNfH Ntt1+KT7E2FLw/2mLo2iRH9aP7PEF9nRog9z/dnIIwfnn3gu7PR0hMtJ9xi5 3zxv3F+Y+wdz/2D+D+b5I14QH+GCgZMDdcmByuqQrMEPFqWIPYy3MOMnzHgI M77BjFcw4w/MeMLzjL3EE5jnGSa+wMQ73ife7wlbHJzmn1CZeMP7jZzxgfhX 3NPZPKDKZWV/7Z8qNO6bofqjfz9oj/ed9uDWAba9ap55qjx7dz2mwQU1HhC/ rmyNcLQ6769knnj1wMcwXeIX+twf/OF65PSP/zpd+jLLRAv6A+b+w7z/9l6t jXq2U8djk5L5D4L94xWrLkk6A7+QT8bXiGppL35wUMdP99EL3WsPyVS8hni2 bdYqTNfkbPkgs4/tJZg2PT2v8K5w6MhKHzr09BXu0mlM0Ic3xxR4fb+Ok+rU uy28/IfmWwouhwhfMvk9aVJGpPCsU1u69l8SqnS647k1YdnH+H5t7Y2FPcIt Kq2OOJ05daPw0+FpY+fe2SccGukcuML1nHCP+SeOjG5+WdjVekJ8cMYt4QCP 2UE9LtwR3hOlm3m6TJBwl1V9Jk6Z8UjYcduD6YvrhAlXNh82oe3yx8L9ekX+ 2NvsqXDCix/GvXOOFDZ5+WJKBYto4WcPOraOGxoj/Nb6Xbu0pnHCfQ9bnPJ/ qvL4Foa+D70ThH2Wf9vy+PhE4Qelyrb165wsbDzK8uS29GTF40INm7Bb4Urh 8xhr93dJIu8YU8ln5/UU4TXtrM0c56XK+1V3w+RaaQYvlMGlS7Udtfax5Bdu B9wrB5R5pIzwsjNv81rV33ehZuufB6YLZ5UfdXzkB5W/2F7v1A+hmcK2SWO/ 7r4uS7E3/SnzdZWb8j5uLLy7ZpPXAclX2rsuLrGoXuIV8g/0JV7pWeKVniVe 6VnilZ4lXulZ4pWeiVewNp/heUVOvJn27cDL/Zs8+ST+WLUMvLqjjNr/2vyn z5xjV4f6q/1J/IDJf9KnTOmuCz4s/285zvt0SMxTJWjppjWJkxOV4PxX6W4T byh199Ra5HJD7f8R6ekHomOPCTt3+X3mMLdYZWM1+/VtA54pmx9aut64Ga/s PlXypOmdZ8qkb0JdW3+MF1fyjga5KRGK9bZKJVddTVLirgUbRT8PUO5U73f5 5rg0Za3xAIcro88pKelLdFvqZCo7+0V6Hr2j5v83905fWinfS6k9/sBMz+uZ itN8p1Qzo9Of5F/Eqwo1jw9ND3PWafuX/GvYWte+KbPCxX+THnmdfcJU7uJu 0t7BLkqJr/hui9evCYqfXcxUS6dIia/kW8kPW8+PzlXfJ8aX3An2+XvXq/GI +CnxKeBe9ZjTURKfmR9gP/MDmPwAZnyQ6/X3H8Y+/k/mCzNtM2sfzJL/I94P Ln8pdUr8E13r25v66YZ7WFQvv8jfuJLK81v41HZ4HSrs3SK/u++9MGHspb2q 35k5/+H7SOQRg1OmeUUHCc+J6bU8a9td4dSYO3c2dbonzPgD4z/tn2jUeaZJ 2RsiN2/ka7py7DXhzHt93L8ad1o47r5V83G+Z4SJB5Kf6u/fzsrOJ+6V9lXf Rw+bxLJRVyV+SD6ql7/MGB+84PAN4Sml5sTuKgyQ6yX/1Mv3Wi8LLHvvgXC5 s/6Zbs7Bcr3km3r5AftBiYNeq/Hm+eTQ9DEf8wiul/xSL/+pkl18zbJPhP2M 41KbnYmS6yWf1MsHX58cG13nufC3yQvyF8bHKDVT7j46dPyJvD+WrX6Mft5H 5afNuyzsvOSRcOU5kWtmG6nc5dmw7jt/vS58ZMovI8sEXRP+Q9l4e3ionzD5 h7wfrUKHdul3SZ5ft5rfGY+KvKw+z9w//fuI/e+qXc/sVF99H2u7r8nt+TJR ae1SNur1ykDRv1ny9tV1lg8/aY/xCX2HjDvT6x1R4+2quZtnmy59oY4n+nwY +UP/h+nF2qjxN8Nye3a50mnKq2M2cUu9giR/jrlRrf95+3vKOWvnXt4D0pQe LX0N0pcHKu1Gd/C19kqV9hnPaK+zx+Mfky6o8XyEqfvMrG0Zcj3jHXLPRc9S A3plKkNuFguPzPxNueDZOOno5CxlYTnDJtnb1XyM/BBe6J7gVvJugDD5Ikx+ J/FVn+/C+aGLVm609hc5+SF89vB997a2av5GvgBf7zyx5kLbJ8oXjjV2mrZP UkbtyNw9+4enkn+vT24xuEGqul5TK9uz/MPGOuXCkIl9e8zKUHLtF7jmHLgg 833y8+cnEhzb7MmQ+Ola4caUpKR0ZXXF+++uLr0q+btH/wcx9ax2SLw4t6lL 5wV1lgvPO/VbDf+9kYpF9RYRD4olKvYjij10uB2s2DZt/nX57ilK9RKuE6c3 v60YhW0ftrp6uhL1k+vkGaaPldreHfpO0SXL/PrbkJTWqUPP6+h/mP6GeT9g 9O/Uvx9Xq7mT6MPow+jDbc7pBpu+i5Px9eGOde+iqiYLT3f87sj2r9OEv7A2 Gj6gV5Zw2M6s5QYnc4Qbr7cOjzyfJzx3wbkW526+FL4+0Xi1S9Br4So2y55O j3orPPbb+Nb9X7wTPtW+77rG+e+FCxsdf1ZYWPjJ+iD5Ef7A+APjD4w/MP7A +APjD4w/MP7A+APjD4w/2vVL8jn8g/EPxj8Y/2D8g/EPxj8Y/2D8g/EPxj8Y /2D8g/GP9xX/YPyD8Q/GPxj/YPyD8Q/GPxj/YPyD8Q/GPxj/tOvHxBv8hfEX xl8Yf2H8hfEXxl8Yf2H8hfEXxl8Yf2H8hfEXJv77DWv4uEHnbPEfxn8Y/2H8 h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8n3LtQI3tP+eI/zD+w/gP4z+M /zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP479Jy2bDS17PFf9h/Idl/UjP+A/j P4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+B/iftx1Qal88R/Gfxj/YfyH8R/G fxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfxfX7pVaMqAl+I/jP8w/sP4D+M/jP8w /sP4D+M/jP8w/sP4D+M/jP8w/sP4b+F4upr9tlfiP4z/MP7D+A/jP4z/MP7D +A/jP4z/MP7D+A/jP4z/MP7Dcbft3gzIipH1EPyDWY9hPsX6hHb/kfkN/QeT nzOfob9lPU+/nlHxi/iXtpHZwjcXTOxwv36u8MKEFEeLCXnCLYdO9/M+ki8c fzk778uMl8Ja/8g38Yd8DfsZ/7GX8ZH2GC9g4idMPIF5v2CeN9ZzmP+wvs98 hf3ICnnLN5cJylLmeVi7XwyOlvUl9mvYP2A+xPrZ8kONDhYrnSj3D8Z/kzVp Q8+bpIgcRn5pvO+HGeYZIoeRt9h3Oazq4WyRw7Jf6tTQLPN0rshh5PeXrVl5 90q+yGHkdWamRBwIeCVyGPnU7we1Wv74jchh5OcH+ayxiysQOYy8TPcaUeaZ f4gcRj7CbFHbqgUfRA4jZ/2qY+TuKd72J2Q+BjN/ntUgqm3DHr7CW+etmG7S eb+O9Tquh5nPsf6GHEbO/8M8D516zN2qXEmV+btWzvPN88/7S3yD2Y9iP5Dr yf/Z/2K/HeZ64h/912zP8CFZ5ZPk+SUeIvdfUu/9wcapIic+Ip9gl3jUvlum yImXyIv9ZnO87Nc5Iid+Ih+y+WKxxA55IieeIvdYbDLyas+XIie+Is+cutJr 16DXIifeIrcYlVRige1bkRN/kW/uP8DOyuGdyInHyKM6efm0mP1e5MRn5M2b VS1T9udCkbM+pF1v+O/uBxLfh703qpH8Gft/QcN3x7YYkqm8n97EY2rFOFnf 2WWZYdnQNEm4c/Mzb8O7pwqHl/350Nbhmep6vOP+o/vNc4Q3ji9lsLRXnvBT q6k2toNfCjfrFXii/ajXwgvbtC1eeeJbYf8GbrZps98J16xccMr/5/fCEwpH l9q/obDI/cTgi5EN/d966+D7PVZuC711SMf9YD2+bbOBSVv+y/6Bdj/tc/fL itrvwp5u5lWNPL2yheOifUMrl8kRzt6/w6ZGnspulh2rr7LMFT5Uqbbbuo55 wpYXLlq/dFJ51JLdYW8X5wsbmFpsnxSmcuWU+jWmXX0pfNblWvCT2q+EGW9h 4k+dJbOaTf4v+z+Mx/RnapWznTb9P/bH6pofW7SiTNIn+2Hvvr5/KM1TXQ9k vA4omexdkJQu74d2vGa/RNb39eO37Mfqx2+Y8Rtm/Daq8upQqajY//Z+m3a9 Vrse+Wf31xjf6U/Gc5jxG2a8hhmfYcZjmPEXZryFGV9hxlOY8RPm/sh4qe/f imujvlmy9ozwnmHFfgkauUv3776/5WAw6n1scrw8bwNHb3j1bZ0E4eLRDY/t LEwWTuk61POPNi+E911OsfnOKF14XZ3aQ3z7q9wgMKLYKqNsYZclsz74tVZ5 xuVuI79vlCsc92PoMKduKl854eHVuVW+cFu7Tsd/7Kdy+d0lStbo+ko97zFg d7G+w1S23zTZLrvPG+GgzgYjvxyr8rGf7vvcsypQ93e/muD1/keVC6a0LnP4 +z9Ue2vdKfFkgcoDbF2/Xzn1g3q+pLSZnd8qlXOH+JedNUsdH/6n+zvMX3h+ 136V6xfuoLJbeoh51JAcuZ75jcR3t3n5/Y+p8cjSdsT8wTty5XrmPxLvDd+2 u5Sp6hv4Pz1z9UmeXM/8SOL/zCVzW7ZT+Wzb71+2NXkp1zN/Qm4fVXjaY4HK U/fGtj847pXklzyfzH/pvzNZl60v5yUKkw/C1oFrDBy/UPMD8kE458Sgk183 UvMF8kH4zq1yJ2fVU/MH8kEZ/8/MKG75lZpPkA/CEw8E2zbtoOYX5IOw33Zz b8Oear5BPgiXWOVe6rmlmn+QD8JWcz7YXxip5iPkg/D+H8b5uk5Q8xPyQTkf pdkP055fKGp/Snu+QrtfdXLptf7bDGP+4f6cdv+N+x+zbMjrKeXV9V7yT+4v zP2EuX8w9wvm/sDcD5j+h+lvmP6F6U+Y/E1rL/kJ9sLYC2MvjL0w9sLYC2Mv jL0w9sLYC5N/c76J/Bwm34TJ72HuF0x7nI+iPZj2YNqDaQ+mPc5X0R5MezDt wbQH0x7ns2gPpj2Y9mDag2mP8120B9MeTHsw7cG0x/kw2oNpD6Y9GH3Ok6EP ow+jD5NvkE8z/4OZ/8HM/2D0ybfRh9GH0YfRZ76IPow+jD6MPvENfRh9GH0Y ffJ/9GH0YfRh9JkfoA+jD6MPo8/8AX0YfZjrmV+Qr5P/Sj2H/jyjnNfWs8xf 9OebZP1VL5f1HOpT9PMrmOdX2x7nn2DON8GcX4I5nwRz/oj/Qw4j53rO6+Gf 1M/o/YHxB+b519bTkG8xPyCfIr+H6X/yJ/qD/ud+aOOttr+08Re5rJ/pGXu1 +sRLmHgHE69g4g1M/KB/YeTa+iz6C3th7IV5fukv+pPndaNui2enl7EK9Q2s T3M+kvP7OVZ9b72YlatEeOW8rVYsQWG9k/Vr6m+obxhYtmxiw2p50j7jM9dz 3h45zP2jff6P+0d/YJ/Eb70+/rF+A0t9jv75kfocPWvXf5HDyOkf/o/1eZj1 fpj1WZj1V229Acz+Acx8n+cZpj9kf0cfP+gPmP6jngemnof1A9qHaZ/1BOQw ctYXZL6vZ+SsNyCHZf1Iv/6AHEbOegRyGDnrE8hh5KxXIIeRs36BHNb2L/GU /oXpT+qdYOqd0Cf+og9zPfVOMPVO6BOv0Ye5nnon3ifqj3g+tfVDsn+jn++x /gyzf8Xziz7PK8zzCvO+sB7K/8l5TX371OfB7DdIPaZ+fi71iJzf1F+vrWdi fwR91lvRl/OZ+uvZX5P6Mv3+HPqsz6Iv67X669mPg9nPo55LGy8ZH2DGB1ib z2rrEYk/xBfkxH+Y+KKtn9K2R74Hk7/BUo+gZ20+hn88n4xnPH/Uz9Gf5FfU s8W2MpzYfWO2xF/Ge5j8ivowt91rDp4KzBF9bX0W+QjjM8x4Q/0d+Rv/R71d t6Qba+abqfke7wfjH/+HPnLsQ879Y32Q+wNzP7T7NTDvN+svzGeRM5+Fmc/C zGdh5rMw81mY+SzMfBZmPgszn4WZz2rtL29yoOkXh58q5V8cca5lHado69NZ L+b9Krnl+wJHx2xlaezYzLlbQiQ/ob+rfzeuRjtPNd9+61rOqMPVPKXY6n6L PRfHKe2rF/StGhD1v16/9ir4923FZ4bo1p7y3V77irpe9z+tX/tu8Jb3fkvi Jb88FxKe8KZ8guIYVmdpjQ1nlMVvfF0dv0lQWjYamPq42ZUi692yLr9uUdEx QZl33fTIkuRbStezDl3n/pSgGPfdsUB3quh6uCcGPr8YTkpQApwye11Ofai0 axj/xtTyYzwb6pJWzLPoern1J1yMCg0TlIWbbxb23hT6p+vnam0ffOq3zDhF W0/xj+rpJoX1S67cJUYZXnN1c+MqRdfX8T7yfO6vYFpY+0G05NNF1d8VVW/3 Z+vn8ruE3DQ8cVbiV3uHLiF7s8N1Lj5jWmR8l6dcaVPnWf6cB5Lv/zTtwJMd rhEyP5peeZNbtdNqPn557yWjPRM+nS8Rf4qqv6vmaVjryRh1fNPW441Yt3Xx 8/nqeKetz/uhTtDmoU3V8e9z6/UmZnY4M/RhjMyPGI8qx6ya1LHC59fzaev1 iqrPs2hi5WfV5qaMV4x3IS09p1WrlCPzjzFvIwOclTxl8c4VukapccrapUuD 2+Q//aS+79Dd187O6y7oLG8H6mq8ylZ85p1zKVnm4zzZvpZBv998ddWaTzOf bxynOMbc/OnIytO6WL+x06q8j1NWr+3ex2Sok67j9xOfGPZKkvtX+3nv25Hh 6v1s86GEjbkuXrmz2mdkZOwR5Uzj6Krd98YrikMDY49N+5XxzxaPyhkVrwSa uXjH31f7n/rB5HL1fztyLkYpZdPJ1W5MrOK3q8SSfUf36c49elii7ohspctv F5I7W97SlW404vRU5xzJB3aeya7Y9bifLnmG4aqm5glij3OJa03TJsQrq236 JOe3dZL7J+cbGrRdv31ytFzf36nL41kmMcK/LttjZvm1Ol4uLlxSp8nVWOGi 6guNj1yoY7Y+Tpk/zKW9dcphqbfwSi3nnR7qpDtTfnGp5n7qfHTMinvJVh/7 m/kB+Zv2fSHf6hpQq+OIHvEynwu2G2hR+Fus5CdG496HDpgRq1zLNnao2zfm L68v1NZb0l7G3uKX9rRRz7PR39r625JW2b8YnTsh/jUcEjHvUPVDn/hLvSn2 0N7G/V9ktpjyu3q9p9GyiRevCBdsNf7VY/Nt4ZVbdwwpkXBL+HPr//Cf/78y sMmx2dUCpT1zy+O5FS49FD6/ut6hyy9DhJeufrpiZkOV6T/aqzt+f0vTzuEi txmfaOVYIUI4v+fJwq+bRAlf7Dk1MmpIpDDzd9qb9OBIvXPxySJfMyig1fNB L4TDurVce8E2VfjcpfKOLlkpwukL80aEt0iQ+f7D7o+Nk8smKJV7GI6c/uUZ ZV3ywVprhyYo81/Ybmy6/KrM9/n/kidmBUx/lybtNTJziXJ1SBeea/yq7azZ mcLDd4U26F9aZdYDaM/q291dXcpmi3xsyZM3D1qoXOb985nbe+eo979bYNKy SiqzfkB7Hu0NXKbXyBW5d35l4xUDVB6Z3st/xpA84X5mbbvbGavMegPtZTea 8KJfw3yRGyQ4zra3UflI5KG6A+xfCu80dttu3lRl1idoz6LaHYvGLV6JfHBI xO2O41R+FVBubpPJr4WTyhWkVGmnMusZtLfV0GxHYac3It9zvZtJtRkq97k4 466B41v1eS4Y3SPDQmXWP2gvKmdb2tPeBerz4uPhmLlIZdejwfWjlr0TXp1y ze3OAJVZL6E9s9i8nmeH/CHybvtK3Lu7RuWEnebzz216Lxwa0STD00Zl1ldo b0nQiJ3O9h9EvtFpcsODziq3Xe9+3+WXQuHGdzZ8s2ycyp9b77vx/M166xcm yPpNz4C+icFTEhSXG78UmN6+oSj1nHpnL0pQTkRVvBNR+t5n1wc79vyifpxd gqzvFNruszKck6DMzr0YPPvxA+XgB7tsG4sExWtRw/FxAz+/ntjj2zn90yLi Zf1n1beTK64snqCk/mZeJ25NqHK0Q8bW5s7xSpmaCxZO2h2uLAoLy1l19uM8 6Jbuy+lnHv/T65Hn1c476loYq5S7m+ixb+9zpaF1640dCmKVyUv2WB04/fzf rl65qO8XaL8/8M+ub/6r65Xjf00fVJA8XtcqetSAbqWylfPPcou5dgvWrUiY s2+pW65iYtxjTr0Oj3S7jRaWMnHMVbpc7JR71CBQ5/Qg1GfEV7lKjX3Xkgpj 42X/hXxqc5O5gQ5/+CptbuQMOzUrXtaX/tXroTft8skxKf+LrHfRfm6P0nOW Nlb3I3WZ2S2fXsxVdNfdL27N+TivbPJFJ4uQp0rdpH05WV/66Lwa7phS5uO4 eijtwqjVJ8N0K7cc9/i+dJ6S0GZfv2H77upGP7q7w/9ZjmJXM/vB4YgYpWxe l5WxLWOV9i1bXB5reE1nEzDyaqveav0X8z38gbEfZv4Lo0++iz6MPoy+tn4Z Zj2L+816Fsx6Fsx6Fsx6Fsx6Fsx6Fsx6Fsx6Fsx6Fsx6Foy9zG+xF8ZeGHth 7IWxF8ZeGHth7IWxF8ZeGHuZb2MvjL0w9sLYC2MvjL0w9sLYC2MvjL0w9jL/ x14Ye2HshbEXxl4Ye2HshbEXxl4Ye2HsJR5hL4y9MPbC2AtjL4y9MPbC2Atj L4y92vMtrJ9gP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2M/6DvbD2A9jP4z9 MPbD2A9jP4z9MPbD2A9jv/b7qtrzJNr1bZjr5TyJfr2b8+row+jD6MPoc74d fRh9GH0Yfc7/ow+jD6MPs74g9VD69R3teiPrDcyP5Xut1Lvp57fMX5Ez/5Tv hennjzDzP5j5G8z8C2b+BDP/gZm/wNxvrb3ML2DmAzD5O0w+zvOuPW8j35/V Xw/TXzD9A9M/sn6t7x+Y/oHpH5j+gekfmP6B6R+Y/tGe79GeR2F9mudJWx9K PgJr9+e15z+190ObbyAnXsDEC5h4ARMvYOIFTLyAiRcw8UJrn3y/Ws/yPWo9 y/el9Ux8x3/iDc8P/U1/wPgP4z+M/zD+w/gP4z+M/zD+w/iv/V4y+xk8H8RL 9nvZn2U9mfpL6g9ZX2X+wPeBYe33XGmP/V/2l7lezhPp+1e73qv9XrKc99e3 z/449rJ+DGvjH/+HPvYgZ/7N/YVpj/1t1nd5n2DGE9Zn+X9Y6lP166dSn6pn 5KyHIoeRz99y4VBArRfiD/WfcPVpK6xXtE4Xpv4Ttj3Y2KDux3kSTP0nfMR1 vc3rVrnC1H/Cb1alnwjumi9M/SfcZ+6Q4l59XwlT/wm7jfOz3WD9Rpj6Tzhh aC3vCWMKhKn/hNv3XFKqx49/CFP/Ca9qHWNvvOCDMPWf2ueX7xVzfoH9BOQw /Q3TvzD9CdN/MP0F0z8w/QHjP4y/MP7B+Kc9f8L7wvkJ3hfef55f3i+pj9Hr c74QPqQLKGF3Jk/0qY9BX+pl9NcbzN/c2HWEynZmg3s/eJsv+tTLoC/1M3zf Oa7ShFK7Va7866NVioVaP0P+w/3Srm9oz8tozzPCxDeYeA7zfsHEd5j3Cybe w7xfMPEf5v2CGQ9g3i+Y8QHm/YIZL2DeL5jxA+b9ghlPYN4vmPFF+7xJPaie pR5Uz1IPqmfyX/keuP68EvkvzyPng3geyWd43mDa53qeV+I78x2eD87vkQ/x f7wv/B/xnf/DPpj/43nneuzhvBpybf353+eZ/v/nmf7q80v/1+vv/9F5qH9U f/+5552KOs9U1Hkl7Xkk7Xki7Xkh7fcB/my9flHndYqq59ee5/mr6/t5/7Xn 7eV9/czzQ9rzQdrzQNrzP0Wd5/nk/JOmPreo8zja7wNoz+d87vcCtOd5tOd3 ijo/8a9yvof65X+18zvaeul/1nkd6rM/+7yO5nsX/9e+1/DJeaDP/H7DX33e 5+/zO3+f3/n7/M6/z/mdzz2P87nna/7seZmizrNoz4drz8c6fdN4n41HtOTH 82ddbFXVNFpZ3nXdz3U+5p3a7zX8/T2Y/93vwTCekX9/7vmVf7Xvt3zueRrt 967+/t7LX/u9l88976M9T6/93lBR54Hk+2zH7S6ufjlXV9T5oP8AuWWQ/A== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdl1dwlkUUhndpAZLQAkkgiRJCQu9FpCkdjJQgVlSQIk3ADiiigCCKdG7s bey997HeqmPvimXseqHjWMb2vnMeZjJePLP7nW/37Gl7vv+vXrB69qomKaXO OaWmGo8Vo0QvcbwYLXqLmWKf6CYqRKkoEy2EtibrOFnMFc3ESWKM6CsKWVcA Xuuz5ot5oqVoI1qJ1qIto/ctFUtEO1HCOr/vIIp59trmnGG72vN+kVgoirC1 AzrOECtER9FFdGLfmWK1KBdHiP74OkgMFJVisKgS1WI/MXFs9oqtokFcIUaI OtGHWDpGh4nhokYMQUd3sU6sFbVQTZwX4mshOelN7FrhdzF6W+B/E+LbgjwU EOdifG9PPvsin4fuAva3/l8O2qCrENkw7K3jXQl6d4odop7nskZ5KCW+J4g5 xKMTce9MvCvYs4LRes8VY8lBKWu85zxy43xMF0eTn5nErYoY1xLDaua2+zJy NFScIwaIfsS+jjX7yKH3bieXI4lzL2LchFw0BcezGfb1w68KbD8oG4C8Etv9 fo04H/trsNvnThYTeB6folZs21TWWsdE8mG7x6Woy2rGI4nDtBQ1Z91bxKXE bjc+1eHTqEY+jcanJeTBdTApRT33xKex+GW/x+D7QHTbr81iE+tmp7gbDfgx DjuH42Nto9yXc85EbDuKs33urhR1NgOfJqPjGGT12DIFezYSL8dqVor6qOLd XHy038fh937WHYLNDcy7Ma/BFtt0OD7M5L1reg6x3Mv+Q4nlicRpBrZ2FdvI jXUWYE9L7J1Ojt1LT0Xu/uVe4HvYjty0hYXIvG4e+gqZFzHOZ+5xAfP14jT2 dST+JehbhM652OE1F4nF7PX701lzCmscV/fq5ehbzLoi9C5BvkEsY+8y9hz0 aSlrXDe+M64x14PvoGvg8hR32PfXPXxVipq5WKxk73KePXctur+4Bs5K0d/L wfIyZGezZjXPleTAd9N17R6zBpnr1f3C99H1ewEyj+savfe8h7iEs32ma/NC YrWbdT3I83rivIBYFxHjDcRnFbrKsXcjdjpWm4iXe+ZmZL6Lvu++r+6ZW5CN JJ51jNuJ7VZi65ps4LkG2TbmO5C7tleQA9tTzzvL3ZPGEx/LdpKvGczrGXch X4mejujegdzx2YO9a3muY81eztqD3DF0Lc8nhsPUrH9NcU/9u6Y8R7/vrfEp bJyu+TMpesnL7PH6bhofTdFHe2j+eIq+9ZP4Bj+s+0X03yPa5MjVQI3PpajZ h0RZjlxN0TghR6wfsK858nmfaJ+jZl8S7+Gv4+/vkPvPzc5bDn+nabxV45Vi ao5nz8dorM2x/mcxOkcvs41D8Osm1nnNj+LDFL2oXrI3U9TydWJ4jnp6Hn/s y0iNXXP0z7tEYY469Rnum+6Dt4n3U9S44/QdsXpVvJPim/SteJf8jpKOL1Pc Lfs9OYfvQzW+naLX3sjZPrenxtdSfD9uwQfb30fyN6i5Gs1f4axBmr+V4lvy iPiesz4Xn6Xo4x+Jq9BTnSN2s4jZC+S3TvNfUvT0O1xfOe7r1+KLFPU8UbJP U9wjy35A/om4JkV9Ot4HOOsAZ3v+gXg4Re+3jmvR87F4MsV34mryNIG62E9t uJe4/7qf/Cn+SPH7/bEUdewaHqfx9RS981/xT4rf9deLETl6xF/i7xTfwgLJ bkfv+Bw+2H7Hsm+OePbTOCBHj2vi/w05vnPPprhXvlNVGitz9J4nUtwl36Pm Gpvl+H9QovH+FD2gteZ3prjHN9i/HP3XOe+eI++ui8E5asP3aRJ3qlTjgyn6 bP8cdtvmCo1dcvRF10ivHHXi+/RVijv1dIq+4J5QrPHuFN+udprfm+Ib5fyP zVEDv4nfU3zv/wPDhAXs "]], Polygon[CompressedData[" 1:eJwtlFWoUEEQhnft7u6L3d2BdfVeC7EVFRUVFTuxGxUF8cHu7u5W7EQRFAUf FAMDA8Su72fm4eOfOXvOnt2phH4jOgxPEULoDalgDTyHVlAGMsUQ9qADoT98 h69QFjrBSzgCbaAtFOP9BGiPXRhKYpeCDthF4D18gY7QGlbrW9aXoKXhKBTH b4xWgxdQFH+C/yM99i60H/SBZ3AZ6vqZD/uZdJYkOAXl+aYpWhNuQR78UegM 3Rl7OdoQesBfWAYNoCvchie+10z4AUuhPnSGh7DB76oz52C/A+hwGAr34Ckk w3zYAqugGbSA3Lx/CB0NI/2u69Hxwe78CJrwbAFaA65CWvxe6GS4DpnxB6BT IWB/89x0U8zxP6NVfM8HcA4m+RlewWvPRVF4qzjyzWK0HVyBbdDSY5SVtX3o EBgE1yADz/qiU+C46ga/CVodbkJO/GHodDjjMdDda8MNyMb6YHSa18Zm1ZHX SDXWLqB1IBHuK848mxcsJrWx16KzYDbcUW6i1YrykTdaDmd6jAvh14W52OO0 L/YntBLMCba2zm29sxI+eCx0plqsf0Qr+j8LRDuD/j0WckWrsRleA7uD9ZB6 RznKHi0m0z2G56Eqz5r7HVtgt4SF2PWC1WYS/iKPv3rlkq+pZzJGqwHlXj2R JVpMFUv17GOvmcmeQ8VONalaVAwT9e9ova5/pouWU+VSM+Gi6i5a7NVje70G lHvlbDukwe8ZrCZ3BuvRPsFqohH2Jq8tzYAG+BuDzQLNiD/wC8pBl2Cxzc87 YzzGyk3BaLFVjlTLhaPlTjX9Du56rpXzCqydDtbrimlZ/BPBalEzQLPrZ7De 1Qw7CWeD1WKy32WH3113Uq//9rPV97P+CzYbdOaDwXpYvauZsjVYzyhXyllk LXW02VIBSmAfCzbb1CP7g80MzQr1SGXsStFm4cRgsygFfvdgM0m9WzHamno4 ZbR/aG+9kw97hfYJFkP18ptgs0M9/R9fvKOM "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHe8lsURhe+OaZrYjYYoISiKSGISY4zRBEREQKRdiaiJSBERQQTBQhFE uqJYAak2QFCKVJV2aVKkI4iA9F6kqIBCYuZknvf38sf5ZuvszO7snH2/kg0f KWxhBQUF5/vPaS4vcXmL42LHTY7yjoscDVNBwfeORo4/eb2myzscf/ZyLZd1 HFd7+feO2l6+2WUFRzGLeXcyV7oror9QYx1lHFUclR0lHLc5qjpKOmo4qjsu d3T2+Y86WjtqyQZHacetjkqO4o46jjscZR0nU9jd0tGKciPm3+9o7GiDfMDx GLKJ43Hkg44nkE0dTyIfwpZG6GpLWzNHe0dzx8OOdrSp3oG2Fo7b3b5qjssc NzpucPzH2zudYu/TSK3zN4v2jo6Rjv6O1x3P4I/86IoPsr0bUrZ3R8r2HkjZ 2xMpG3shZfuzSNn7Grqk47+Opxy9HS9gi+x9EVt1Pi9jUxdHX+ZpzVdok42v IqX3eXRKVz/Gyq5vHNsc2x3DmPMaPvfCxgLfk+dcDnQMSlGWbYOR0j0EKXuH Ivs43kDK9jeRLzneQsqPt5Gy/R3kq/jRhr0ejl3ydQRSfryL7A96Yncf9kz7 9Z5jAPZvdCxxLHVMwA6tPwZ/5MdYpPwYh5QfHyDlx0Tmyd7xtEnXJNq0l9NY +33HFHyQ7R8iZftpvrejXH7sWOaY4ZjpmJqiXfMno0/zp6NvNGNHY/tMpGyf hd2ydzZSNs5Byu+5SPkxDynbP0FqzSL0Sdd82uTHQnz4yLGANtV/ZOHHIvrk n+7Qp/g3lb2fhh9LkfJjMf3T8C+LtdFInc1KfJNPa7FJ66+iTf59hpR/q5Hy bw1S/n3BPPnxOW3S9WML29c5tjiWO1Y4NuCDbPwSKT824cMyxhVh32baNH89 +6H5WxknP7YhZft2pGzfid2ydxdSNu5Gyu89SPnxEwt79zr2YbvW3IE+6dpP m/z4Ch90Dw7QpvpB2jZh90z8OUSbfDrCvsiPr5Hy4zD96tOdVn5SbvoW32SL WdxBxfRxfJNP3yH3cOY6e8W8uK/QZY0U3CcOFBeK98SB4sLq8JLy/okU/Cfu KQ8fii8qwlfim8pwnTimJnwovqgKP4hvqsGB4hjxsXhHnFobrhOvKCd1wUdx hfKM8qrGikPEJVq7NfWM8zQv4zzVM85TPeM81bV2W+ryrR112dqeuuzoQF2c Jt5Sfq8A5zdOObd1wo7O1Ftje2f2qxV+DGDvdUaVeCPI3oy/W6ecw5RntZ5y fu+U85n6fkjBYeIJcY/ytvK5OKov9YwzBqecO7uxjy/Qn3FYxmmSL+NPH8bJ nxepZ7zbPeW82wP0O2Vt5dFhKecb5fFkwXMDsFs5Z2DKeW5QyrltSMq5ZwQ+ iy/7p5zzhqac81TPOO9NfBrG2hmfDScmuuJrT/Rl3DaS9TK+lK7s/aE5yjvK JytSnjd1l7L8si3l3DYm5dw2NuXcNg77xlPXGhOoa82J1DO+mYEPk+iTD+KC ydgqDhAvKKaU15XfZ2PTSuybTl/GZ9PZm8nolX1FrDcOP1UXnyinLko5n81J OZ/NTTmfzUPffOrHUuTZXSnnxdnYvoBxGXfOwoeF9MlW5f7FKeewJSnn9Sn4 sYy+Is5kOf4vxu6ZtGncKPrk02D2d3TK+WwVdiv/r8EO5f61+K/cvg69G6hn XLUB+zZSl02bqGvtzSnP+Vuoy96t1DOu2ppyHtqFXcrriq3V7OeOlPPWzpRz sMZe4HfrZ3yjZBy2G916g36NfeKnA9h3kLrsO0Rd9h2mnvH6avzUvP3YfYRx 62nbl3LeOoKtR1NwlGw9Rn0dY/fix3H6Mq46js/fYvdRdEnHfHzTPp1rwUnK r094eYXFW0/5RXlGueVClz8n75zBd4ly6i+pZzlUUnlI344JHedZ5Fn1n2nB r4oj7a/2WZx1jsWbRj6dxfqKsbMt3mqKnZ9avCHkr74lf+24K8U33el8j14C p6j9epfXYV8B9ssGyfMoa50zsUfrnMW6suVs1tWa52CbbP8FfsnXM+AytZ1P u/i0GLx2gniSr7/iuzn77r0I3tc3tfrqpvCpGOUf2F+tI10X8zbQ97L8vDvF t+3vHA1SfC//1vEvL/+Gt4TGaE5x+FHfxeq7J8XYEpQv5b2huRpXgreHUJL3 hr67r3DU83Ip3iH/TtF3Ge+QK3iT3JviPVCad4v6Luf9o2/5S5l7Je8i6dT3 u+r3pXg7/YX3U23qekdJVxneNvqv4CpH/RR7UJay+lTWN7V0aO4/0XE15T9Q lu5rLd5tWusai/ec3nDq/yPjFV/nEmN622mM3ntavww2yz7pyfqlq5C2a9Gp O3HhKffoOu7SP1z+3fFIijfSjZTLWdSzssZk7yfJjki1t+QcqrK3iqmbiDnF TgXuhfpvY4z6yhOH0lHuFBvKsVYxxigmy6OzLrF5veX54AbsKsZaWcxWJG5L YltT4vxmdBdnjGJV8hbKitNb6Vc8ViJW9TauQqxKZ2XKsl/7qHxQAf3y9zuX nS1yTXH0NCH+q6C7BHoU75VYV2vpP5lSxLP2thpxPtXl6xY2KuZrEPfVKdcj 3qsxV/J2yqUoS59iX+/75imf34wYr0lc6T2vWK9Pu+qKcfXXYsyVlKWvLGM0 Xv97KUc0IFYLidfSrFWPu6JxLbhHddAxyzEI/2c6Blrc20mOvhbxNcXRz+I8 P3L0t8hNcxyD2Zt5jiEWNp509LTIlycc3S3ysfQqJnWe3zu6WNy56Y4BFmc1 3zHUwg/dy79a3M1mLt+mbaHjDQs/9N2gN2j2nSepd650HEZPY8dX7IPkXMpN XB5hD/e7nM3ZyacD+DXW8YFFjunk+BKb7nSMsLjv41zWtcgtD7g8xHmtc9nB glu0NwfZn/st1tNajVzutbinmvcJc9e77G3BSbsdMyziX/u0i71qSJ/apaMI PTrDPez3Tsc0izjXOe/jrJ/hDLT/nzvaWfDhZ44nLXjyG8fdFvx2l8vxnMVb Lh+yyK9Htb4Fj611+ZwFp77jGG6RHz91tLLIHy1d6o9n3V/d1+ct7uy7zLmG vXyf/RztcqRFbh3mGGORb1e7fNaCy1/Bn9MZ+x7jVzp6WXD/MkcPi5i8x9HU Igce055Z5OyljjYW/K/30eMWb4cJxIFiYBRnr3O/1+VGC67/vz50KjYXWcTn Y+iVzvbstfZZd2ibxT16yWJ/tbcPumxucZfbch46i6ctcpz2Svdyk8Xd3OyY bJGr73O51SIf6r5usbizavuQ9vout1vkXtk+EfsXu1xiwVU6q66cVz3WkP6H iQnFg3R8jJ6OLjdYvN20xyfZ50eJD8WG7tkCi7vW2mLftedPWdwT3ZFuFvlC uaKBRewqbpWDd1jkYd2JLyzuhWJtjUW8KRZWEQ868+Wcu/hCsSbe/B8h0E3J "]], Polygon[CompressedData[" 1:eJwt0/1PT2EYx/FzLiGLSFiz1tLMrDWZRW2t+RsqRcpTJGP5tjwUZWwe5pcS 6g+IhYkthFRKeSoyVmMa1sysmZm1ZrNhel+7rh9e+3yv7zn3Ofd93fdZVhrJ 2y9BEKxHFH5QlGFrGAQryBbsw2qswlfswGauJ5FX0Io86jXkuI7FRuoE8gX2 6BjqNPIztmET9VLyFtqxgXotOYFSFFMnk5Mox3bqVPI7dmEL9XLyJ3brM6lX kvdwX+zZOocb5E1k+DvOko2Ix1zcxh2xdxdw/Qx5DgsRg5NoQBzmoA3XkR/a M79hJ0qoU8iruCbWC72nhGzGEoTQZl/0Z/3lehF5AYvwh7qYbMJi/KceI2sx EwvwDkcQhfk+1yq/V+fciz6xuWgPe8iHYr3UPXtGPhfrpfZskBwS2xvt8UHy tfdG8Aj9Yr3WNU6Rw1iHLAzgsdhZ0T05TI5gHmZgFNX+OxZ1+OBrmYVPOO+9 zySP4r2vTddcg7c+Vtf8BE/F9lrP6CvyJf6FNift3ZTPTXv4S9eNCNezyVP+ X7aP+Uge87nMxl6xM69nPd33vsL3Js7PzgHfy3jfuxOI9j3UvT7tZ0f3vF77 gsLQ7inAJX92Lv/9Jiv9LOSQb3DIe689jIjdk+Nr6CK7xb69IupO8gESxb6p DvKu2Len77xMHhfrrX7DX3SffayOmQa4VnF0 "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmc1+Ma/TXv85uptCjVtNdMi1KpVKhJIUw11hIK0YhIC1G4Ua5d2fes IcpSVJQlS1GUsiSkQhJNSoZ7L5eL7jnOmc/0x5nn/b77+zznWeZXUDp+0Lic TCazqUomkyB348/SyGTqQp4A/IXBapAPchDYC3gMSEAt4GGgClADmAnkADWB MmA70B24B9iNfapDdgDaAG2BWUAAtYFngarAPsDtwFhgMHANcApwMvAkkAX2 Bu4GxgMnAXOAXKAOcCcwDhgCPA3kJb3lRKAe0AhYCCwACoGmQAMgH5gB3Ac0 BIZ6bnOghduNgZaWTYACS+7xHDAPaAYM87pWQOs99mhj2dLvb+k9Gvtu9YFT va4d0H6PPfazbOMz6/vetwLnA4OAKcBk4BxgMbAI2Bfo4vXU/QFAJ2B/4BLg TKAr0M19nW23Mq/r7Htw/eley/mn+Y78vhQY4b3LgR+B6UAfoCfQCzgcOMR9 lwGlPnMZsBToDYwEzkriTF+vKwL6eR37VgDLgUOT+EbekX/FPoNzVwErgSOA Y4EBwEDjSOAo4H1gDdDf767Qd4nHuR95Ra6RczuArR6fCpyX5B/kNv2DfkIf IcfJ9X/YDjyf/kKfoG+Q8/Qb+g/5TO6HzzzMb9gF/ADcmMRh8jrXZ/DMP3Pk H0PMA/L9JPOBPkFfIZ/JKXKrkec18TfnNfX3fW7nex752TxVcr1FquQ6v+e5 zTWtrLN2qZLfrVMlv/m9wO2CVMnj9j6jtffgvA4e45vJmR7el7bp5DWd/c15 Fdwc7nYHzyMHu3peN3+Xuc353yfx+wzglSQfIHdfT+IxeflGEkfJRXKQvOtj m0x3Hzl+cxI/e3qc/F7ku/DNS722yGOH28ac28/fy93u6zHygBwlf4s9Rp6W +Jtj5PEAry/2GsaAwbY5x8i7Y4CdSdw9O4mPx7v/oySOjvL6Eu87Oolj5PSY pLhSz+D+5NFW78/5FyTF1gqOkZMNDHKSvJqUFDtoF3KT8ZwxdrPtR31dmBRz yYuLkuIg7X9xUqyhbSckxVZyhvmCcZ3x/XJgovc61u/kG7vbhhU8GOE7TLT9 u3is1OP5vh/vtsU6o16uTIpN3T2/zO1twKtJPGAeZG7MWB9jrDPqYLz3pv7G 7qGncdYTz7/UdxhkW3LtdUmxhjaZ6zczP97iMw8CPgGuSOLxMOuROtwAfJ7E 4xEe72q9TrAOh9p+tN164DPfY7h11MX6u8zvnpbknz28H89l/iCPpljvo31n coi56J9JnKvq++d53mT3UzdXW+9cd21SbOXe13v/nj6XfndTkg8emBQnp7k9 yveg/cs9j/ph/XBDEud6eS39kZwiz9r5jEnWT5F129v2ucs2ZExnrGcMvjep Xd2S39XMgUfMA8ZHxlbWA4zhzyTFcdr/Dtuf4zM8h/IBt5lHHvL+DT0v330P ev/7vaah9+YZdX0+71FRjz3qdo6/mStnJ+Ue5rbHk/JTLUt+M1clf3Md89Ms 95GbtyVx+SvbnXp/wnOYz95LysFHuO8J75/1udyP+WyO+55yu47vO9N3mOMx 3jPPb8z1HrN9Fn2Q/nAw8K15QA6Qa3OtE8Z5+gk5y/zFWo213/NuU+dr/d3M ffM9Zx3wUlIdVeD1hcYC97V1e1/LhW5Tvug2Yx1zQ8ckfjFukGP0s5eT4hHP Wez5L3h9odct9tqPPVZo/TJPMEewHmIu6eu9X0uVNdWbSX7Mb+akIs9b6nX0 Vfoc64pPIZdYnxxf5jlvuc09Nvq7t89e7ru8k1SfVdxlhfuX+E4Hu+9d93O/ tz1/k9cf6vcvsl6L/cb+lqvcJtZ4nJL13NGWH7r9gb8590t/9/ceq93e4vVH 2/a0L32XvrjWfYyJjI2Mo4yFjKulvvsm33m+bVNo3W+0fmj/dX4T64oN3oM6 +MJ6WO379beetllX1AF5w/z4tdsdfedvkvLTZo8Nd98Wv4V7v+f917ifuYx1 znq/id/M5QMt6T/0ne/cPs6S36Pc3ur+W3xPcpkx/tykeM6cwfzIWos1BmME 4wPzP3M58zi5vt1zGY8Yr5g3++D/zitDuXMXZIcQd76HHB3SyeeQuVnp4TO0 N4R8Yzdkj5CNa0CeGMoh6yELQ751OmSV0NohkCeEdJiD/apkdd9/oe/nkK1+ gewc4jrvx9jLPNAafRtDOeQnyPKQXk+FjKxi8m9odw1xOqFvckiHf0B2C9mm LeSXId1cArk9pNe9Qm/mey+AHB+qBagz1q+sPZjHWI8y99XB/meG7J6FbJBV fq3PO4ZyX3vI80O5rhSyCLgK7fMgzw3lyRu9J/NkBnvUzcqXxmJ8XCg3Hw85 IsSBwZBVQ/XXTsgdoVjbG/LkUEzpC3lDqM7gHcP3PANyv1BtxXu18924d673 /w8wIZS/36EdQjF9GfUdynvM8+XWR0f0/Rjyvy6Qv4Z8tDvknyE/OzD0Nr7r ALR/D/niu5ANQzXR+5BNQ/VUPuT9oXhArrPuZ13RBH1rQn5Pn9hhv6Dc6TZr k13WawZzV4Tqt0MgzwrVSi0gPw7FibO9vsTnlPus6f5m3F6HuS1DdRw52Mo8 JI/amEvzIJ8O5fL9ITuF8sCw0Nk8tyzEOfLtJcgXQjl1TMh+tN3IEIfIH3Jq UIhXCyGfC+X11yBfDuXp7yAnhWzyFMdD+fwiyItDfl8CeWGotkuQ34TqyXsh 7wzVUlshJ4b0dwVknVBdfB31F6qvH6FNQjXRLMiZodqHsYF+3tFc3mUfOQp9 X4Ri0NeQW0J5t1HI9rQ77zjA9zwS8tNQjTgcsjhUI66GbByqFWpC1swqN/RC Oy8UB6mPV62TZiE+kUsfQB4WqtFrQdbOKpf8BjweqtOmQU4P1Yj1Qm/me38B hobqzBmQDUI1IHVzufXTMxRrGGf+CzwcqhW/Cr2fb/8Esl/ofwD603L71Nuh 3/5YL9G33rR/vQH5V1JtdlAobpKnj4bO4P610f53qM6oG7IZ73Mt5DWh3/Om Qk4J/V71Cv0x+beVrN7Dt1wFeXWovvwVuCdUA28K2YO24LrFobXk7CLz9kXI P5JqwpWhuMOYsxayeahmegby96TakjytlhVXq0J+G+JJQcjH6F/VeX5WPkg+ 5mXFSepjSUgn5N1j5l4NjA8M1VDVQvtyT+6xLbTP/4C5oXr4+dA327TJh7YL fWu+/Yt+/GzIl+kfd9tH7gpx4u/fZkP6oq7+9gn7xfWhnMp8+mSIZ+TYHbRJ 6DdU+uhs++mt1H3of55zIEeF/jcjZ1eZt/SDzfaFmyFvCv3mSt0vCOmfOp4T 0vP/AaLRgAI= "]], Polygon[CompressedData[" 1:eJwtlmmUjmUch1/u/1MxlkHLUCppFUnZ6pPj+KCVhpIlNCVLWVsOJWRfJjOk MJVOq5yotJAtKmQrSylLkpTSiqTVcv3Oz4fLXPf7Pu/93Mt/Uaeof2G/8rlc rhgCBvPPL7A45XJ3Qkt8C7yDfwYt8A3wJr4FbsFrZvwG7wFDGB+E9/EiOA0v Dw/iQ+ELvA50xu+Hh/E/YDl+F+zCL4Qu+APQCP8bVuMfw3V4Ae/7Ce8Goxkf 4m9fmAL5jDN4BB8GbfDjsBH/Wp9pffy9F0rgJsb/hOf+Clrj3WAE3hhux/vC GHw4XI//Bku1F+iJ94AO+Cjog1fK/F1zuJrxf7AOXw+H4Z7ws/2hH34f9E5+ x434EfgI3wnf4BfDHfhDcDP+f3iuXZDHuyoxfhTfCh3xTtAHrwC34UUwEj/K RTfHr4VejB+DVvg2eA//HE7Bz2LOfTo7CMZnMN6rtWnN4TPRWYyFJvgx+DT5 jKeE96i9PQk1Mt+J7mI3XIp3De+lu+4cHxCeS2vuEF6z1qozKVZ86JzgCSgM 70Fr1x2fzvyXaE58jz5TvPHZZt0NPMv4Gagoh0n4BLgVn6o14tPCZzU9OZYm hr9TTD2FTw9/pzlq4ON0Z3h7mKHzgqfxmTpz3l2RcTOtHfbjeeFYmAyn8n0F xk31HijFJ2vP+DTYjJ8H7+JvQ+XMOalc/BIO4FX4bFtyjumurgnvVXemsyoJ z6Uz07OVw7/Vbz4J57Ryeb5yOhwDunu983x8KwxKztGfwzGm2FJNUCw0C+e6 YmIQfrdiAh+fnFsjGZeezLFX8TnwvPYCc/HXwv4iLFTswWzlLixR7Qn7HJiN v6KcSp5jvmqPzgB/WXPgL8Fzyc8s0NlB1eQ55+Gvh9+l38zSs+FYyIMCfK1i ULkD56hWwEC8E7ygtYef1TsG4peFY3ccjFIsQrvkPa/Hzw6f7RvwAf6h9oxX h6X4svDeqsEKfHnY9cxq1SKYp1iDVfjK8G/1mWqfapRqk2pgPuMqjLfjO5Jr cdtw7qomd8E7Q0HyHSlX2oVrsXKmXDiHlDv1oR7jK3SnyTVQta03jE6ucdrr mHCt1Z4Vu1PDua4Y7oX/eTIW9Jv2jG8In5Vq1OFwzVetXwFnhnNIuVMGFyhW YWFyTRqv9YVzTXc0QmcBhck5uA6vGb473dnl+K+wJLlGN9R6dAfJNVW5/3i4 lqgGDMWHh3uB5qwVvkPdnXrcueGcVC6qBzZQbIXXrjPS3FfqjpLfoV51FaxJ 7ll/hXuMeoue+Tdcw1W79UxZuKeql6qGBHeRZT4L3dnv4Z6gXrAMqmbuseqt uvND4RjQ3auHlstcc1VrVQOPhnuget8G+B7fF65NqkHqzXtgUXKP3ot/F65N TZJ7V+Pwb9XDqjN3tcy9YFPyWdcPr01nrl7QNPydekJd7T3c69XTdyhWw7Gm O/4B/zFcG1Uzv9Wz4d6uNV2E7w7/X0A9cBNeO5ybqlFv6W7CtUA5fwI20SXG "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHnc11MWx5+p7v0iZCf1pEVaaN88LUqSJko9LVpIhaS9JopkZmiYItMo kjFZytJiH8YSRohSZBDGUGMYwzDGMJaxzHzer/P5vX798XnO/d57v/ec7z3n fM55fo3GT6+eVqOioqKO/tSUnJ8qKvbJFRUXS/5CclRRUfGwxu8J64UrhEuF w4UGwltCPeEIYadQKTQSnhfWCAuEt4X6QkPhRKFK6Cr8TbhL+KXwkXCPsEj4 WLhXuFL4u3C3sFD4l3C/sFj4t/CAcLXwhbBE+JXwrrAO24U2QhPhSOFyj1sL /xTuE64S2nq9qdBeOEpoJnQWWgpHCx2F5kILoZvP5b1Onmvp72nttWOFY4RW QhefwXN3v9dO6GGJzmt8J32EnkIH6zzO6x2MZrajl9fRf7xlZ5/X1N9wgnVj S2+v8/yosFw4V+hru/mmfrYPu35sif5Btgu/9fccNp5siS0DbAd6Blqi/xSv s3aS9aBjsM9D/xCvoX+oJfqrvc7acOtG52mWnD3CEv1LbeepwjLL0cJIr2PX 6Z7nm86wxJYxlugcLwyzzrG2D7vGWbJ2ltexZYf1cJ8TPUbPObYP/Wd7L8+/ ThEn+Ps878WWmd7He1OEM61/su0706i2TVO9jl3TLLF9ks/jnRm2lXOne53n R4TrhAnCY8L1tn2E9bP/CeE31v+4cIPPJtaJJWLuVuEW2/4H4be26ylhpe16 UrjR37RdWCXMErqIWzoLb2q8bw7OgXu6SlYJ7YQsJOF8zbeVbCOs1vhYybkp OGovjfcULtR4o3CTv/Vnwjzv+alwkZ+fFm723cBdcBhcBkfBYXAZ3LDY3wrn wU/kFXwGr8AjcAxcCHfAYfATeQc/wUnkPLwFn5G38Bl8A19sEFbY/3AYvAU/ kNvkNbkOl8KX9a0D3ijxGZIYuiwF11bavnbe18L+6WjdnFfitvbeRxyTZ/1t axf7tZRXp/ks8rXEeciutvXY3d4h34/32fBDD+vs6ecS33X3Oyf4Hc4ix0/0 +wOsn33wQIkzTvK+Ku/tk8o81c86+vuZb+6VytzEeSWuOtn7SrzZK5U5a4DP hRPgiGtT8Mgon8t9DbUt5F91KnPWEJ873Pt4n7wencqcNdw6Rvp+W/v7q1KZ j073PnJ0vL91sNfRR/6XuGqM3+nrtcG2Y6z3ofNsnzXM55U4bJz3kSPk3c8l X0/BZRNsB7E50Tom+ZnzyPUZ1j/Za+ib4ucSH021zul+Hus59hGf5AL59VUK PqImfZOCj8iN/6bIE3jn6xR1C576LgU3wSnfp+AXeOeHFBy00t88w7p/lCPn 4an/peAmOOK2FFw0W6ipPS+n4Kc25qQ5KXgF/oBr4CM45IIU/AQHwSfMwS+X CHek6I3glDtT5Gel75i75qx5vnfe+TYFt8KzfxRe9DvwwJW+p9+l6F2IF3If /oEPOpsb5/oZLmpqwFfk+toU/RfvwQOLfDZrCz1HHXjYfj9Y5x2Uwx/kOLzU ynKJxxPtB+rdgynqGTH8UIo+hhzaIvw+Rf50zCFHe446TX7AOVdbz3n2OWdP 9n1McqzcmMpxdoP3TrOfp9rHN3kOn9/sOexb7u/aKjxrf890LMyw75mjvnSQ ne1dX2rliI/Zvvu1vkPuco3HB2jPZq/hk3X2A/d69273fY/vHJ/c5bvHV+vt K3Jgse8Dn99rvy/zfZ3qe3rAd8Xe+72fWLs9Rf3CD8RKa/vhQfuFPLvPeg6U zf/ZzQ8P2V/3WHdz39kjvjdq0K4UdQifP+p7PULnNMiRh3UlD8vlvH3MfsRX G+yvSq3XzxHr9SQPz7HWKUd87LCfn7Cvyecn7f8mWm+cI7cbSTbMsdZU8shc zuenHAPNNHdUjl6AOHrcsdNCc81zuf5vdJwQC087HjYJz6ToT1Y5ZmbZx5vt f/L6uRR5+mqK/3OYp15ssd9eErZ5nn3kNXWamNrqs9Hzgs8nlvm+qdbzkt9t KXtf8x64CY4iVl/z8yzbuMnjV1LwSEkn48bWt93vbrPdC/wdr3j/aPsN/x4q vYfk8Dc+ojZQB+GJNxwb9CX0TPRLf0rBmT8Rupk/53qNHov4/LPH9Fj0frwz 2+e97jPf8ZnEG7y503p2edzI6+/4HHLxL6mcf39N5dx6P0XOvWXdcDJ5+WGK vCQXP0iRr8T/P1I5/z5J5bz5NEXO0evWyBEv5OLnKXiRXCKnltov1JLt/v7k vjS5l73QPuB5tu+tlsd8/w7ff+H97KW/3du9Me/vac5nfQ+fCR98loInLvae +ZZ7eXx0jnM58xjJ2n63tvcwJv7IPfJuoeZGFxFf1K993SdQo+s6358hL3Pc b1ftrSqCF18UtuTw2x6auywHHy2gVy+Cd5jLRcxfCgfk4K9UxDPjl203NpMr 5ANx3k57zvf3cAfH2H7uqZW/lzjsnqOOU6u7+d7IdXgADqhdhE3YU2HOYL6j 5uf6jugfWpg32NPM+7poz0Ua1/EznAMPUUO6+v+XltrToogz9i/i9xRyqFrj VkXkSy/NPZ8j5htorrKIvmCK5oYUwSuXaDyyiP4CP+xnX9SxX/je4VqfrnFr YbAwLsf59TVfr4h+6jDJQ4vopxpKHlFEP9VYslER/dTdfFMRObmv5Kk5cv8A jQ8UvtT4oCKeGbM+1HuGam5QDm47XOO6RcTLkZJNiujRjpJsWkQv1lyyWRH3 eojkwUX0g1X2HX6jLrexH+GVNv4u7Ovk2gGoI3DYZslnc3AEfEzNI0epafQ2 9DvooNdhjrpBHYGDsa+Jaw2g7pAP1BDqFzWNe6zn+kUOUPuojfis0jXuVsnj c/BVK8cIPoJP4VVqbKk3GuWYIV7oLfHNoeZe/NHI9Y7aSM2lpuEzajBzrFET qZ/YRG1d4Xtq67virqmXfCs5vShHXnPHVb5b+skuu/ES4zd9552dO92dR/gF Duvs/VWO+Tn+lg4et/F4tc/p5nm+u5O//YoccUPMzHOuwmH87ni58+VC9heR 3/PQX0QOLM2RG+TFBZLti+CDdv4uzpsleXsOLpnBPeXgEuxtb3tW227uv7XO 2JDjDujt2/mcYUXkGPk1WxhRRD3Hjv2dj3De1hy8N1GyVhF92ZkaDyqCdzYJ PXPUrzGSA4vgjhdycAE88KrkOTl6z+3YnqPOEdfPObbn4FvfbU2dUaOI30HP 0NwpRcT0WOHoIurWE0KPHP3iCmI5R69xFjGbo5c8XbJ/EXG/XpiZo6ah5yrr GiHZu4g4Ow2bi8iBkUKfIvJkGPlbRL5NEooietIvNf4qR00dLnlcEfnwjfB1 jt93R0n2LSLWbxbuytGzfCv5XY46d6fkdTl6m9GS/YrIgd7Y6Pk7JNfk6IG+ kPw8x+++x0lek6MfeCrHM+P55JljiZq2MUdde4M8yNFbTMjhG/yyn3ROzcEn S3LwNVzNXY73fb6C/hy/Se+S3JnjN++PJT/J0XN8JPlhjt+/35d8L8dv3u+i M0ePAvfPt20fsJ6jj7lN8pYcvR61YqBtYG6V56+XXJ6jT8UP5+XwxdvEUY4+ 6S3iPcdv/MTm047PCmpXEb3O3pL7FNHr/KD173P8Bv8p95rjN/vPmMvRP8F/ 23Jw4F56b3KOHomcODdHXpBD1TnyaKXkshw96TrJm+x3/LzWPmX9Wu+hvlW7 hv4ff5zegA== "]], Polygon[CompressedData[" 1:eJwtlnf0z1UYxz9+fJ5bURSyMn4N8/cr7b2MqBBKSvPQ7kRT85zGOciI5EhK P1KEUkZJ49RpaiGjkiQj2dkjq15v7+8fr3Pfz733c+/3Pvd5nvst7t6rc8+i LMvKoAIMjSzrB1/lWfYNPIRunrIsaBOchH6QdhxjFWivhIfhDeze8Aj6VOYc RlsR3oV34FfGFsFj6DMYP4K2svrhd/iLsX5QxFh77OfR22ExujW8nXvOfHQr eAu9Av5EXwKT0X/DP+hLYQp6A5zNeiOxv0MfRfsznJOsJ9E3grYlTER/C9vQ l8FUraU90W10BvQaGKjfonXQTWkHw2nJZy2BJ6EMZjE+Adai28oP6HUwGd0C jkXPhtfRY6EYPQc6oF+B79HD4Tn0ycm+bwYDwneku/kahqDPTPZlKVwl34W/ 7Qab0dvDZxkEc9ELwr7rAzvQ/8Jm7QVPo18K+2IhLEEvC/v2WfkYvS58lgGw Hr0p7OuBsAd9ALaiB8Mt6DHhs86F3ejLYVruPV9AD4M30fWgM/pV+DF3jO1H t4PpudfUWP/w2TVnELor529eiMHltKvCd9UfntLaMB+9AP5Dl0+OrSE6E/a9 8EPumC9h7H7seejytB/orujbr73hC+zPw791CdyJPoTx93UWeDl8Zp1VMdcd /SmMRz8DXyq3wt/Wh1m6y7BeqhhUrIZ1A51Rvy2slylm0HPCWjHTlr1nYI/S fMU+9nVhXazc0G9TTMm/6kueozGdqRb6YqilOMC+CD1NMYCuSVsXuzXURe+l rwb6QqiBvRt7dDhmFhbiuQ1j3cJ71Yf22DfQHg8n6O6xr5dP4TjlWrKP5duD fclzNHZAPkpeU2vtw56k3C/Ek3JoePiOdbfKuYnoCYX80p0vDcewYncVbAzH rGJ1fe7c3BDWylHVlkWwMneNKZccM4qVbfBbuGapVmnOynDMKdZW565FK8Ja NWlNOGeUK2tz15LVYa2aotr2R/i3qca1ZL9rsGtDnULsZ8l7KweUO3thS+4c qqxampzrqrF9wzVXtXYmzAvnvHJ9ee5a91NYq+bdjs75/j30ULg1XCNVG/vC rnCNUG3YBPvCOa7c1m/YGq4xqi0bc9feLWGtGqxaujP8rWrqTMVC8t2WQQv0 dPpG5j6zYu1a2mPCMae35FHaSuE3pQP2h7Sjmd9QOQ/jwrVTd663qrdyMvxm fRJ+s/RWLWa8FH1isn4AqqPPh+qM78I+C/0E+kioEn6rHi9ovVmfQY9wLqtm /YK+Lewr+TCYf0fYl6oJh2LfFa4NMzRHZ6Nvj2pF7txtkBzbymGdraFiLvcZ 5ZvaybkpH52HnkLfi+hq4dyul5ybyvGPsZtil6N9Lffcatg7c38zFfvo5LOO yJ3rNZNzWTn/EXZj7Ix2TG7fdAnvJR/pbTqXvqrhN+q+cM1UrdSbeErym1hS uIOOyWtqrca0jbCvgEbhPU5PfsNKC3fcCfum8Nwm4dreKXxXqvH69sbw3WuN Vsk+lS8VM+2SY0yxdbDmJNcg1R75tCNtF8VAuN7XSc455ZrupEnyb9De8uGo 8Juvt15vRFXGqiT7Uj7tSf/NUARjsZsl34F8r757FEvJuahvxoffdL3lemMO 138lGIbekbu2Xq07CtdY1eau4VqsGn1B8h3q7jTnbqiYHFtaQ3dTKXkt3VGv 8Buns+rM/wMSrFZ8 "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0+dXjnEYwPHnoaRsCmUmshUys7XLm1557Q/gr7FJ9kqSyF4JkZW9SyQi KzPrc5+8+J7P9bvO/ZxzP+f87sRlKwqXh0Oh0HmNVzBHKlo91EdxileK1mig h+L13jydGzmDCRqkD84zWcRZHKwh+ug8lJs4jC+YzqtM4iGO4GGO5HWOYSVH 8wjHsi54Vx7jOB7nBN7mZJ5mKs9wCu8wjWc5lef4RdPCHf+7Qc+1Qc+UYZ+p xcpWlu7bV6nAvJ5Ptcg8SSmaqFN2t5RvXsdtOqElzid5VE90QwvsbnIh7/G1 8sxv2KxWrdVj1euR3mmr2vRWjXqlJs332y2cx89M5ijN1WbnOfzERA7XbBU7 39U1tahCL3VQD1WrAZ4rD+4AD7A/rzCWZezL/ezHy8F9YSl7cR97s4Y9WcLu 3BvcLV5iN+4J7ht3M4YX2ZW72IU7GcULfKAdqtZ25drnaLU5gpEKq7M6aZX9 H/1Vu37rl1bqh37qq77rW6jjA1j6/1v4B8efZCc= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{335, 334, 338, 686, 677, 678, 676, 680, 679, 598, 682, 683, 681, 685, 684, 599, 688, 689, 687, 691, 690, 600, 657, 733, 639, 675, 619, 673, 618, 674, 597, 337, 336, 335}], Line[CompressedData[" 1:eJwV0ksz1QEYwOE/G5/DV8qKqJDSjEg3lBqpyDUjXShqa4+SSKE6uVYol6lQ ieN6cFAWnrN45p139868v8SMvCO5cUEQtJIUHwTplhwzm488I8QHIpxmk6e8 5x0bnGKdFgboZ40sVmmmj7escJIwT3hDL8tkssRjXtPDXzJYpIluXvEndi+/ aaSLl/ziBAs8opMXzHOcOR7ynA5+cowfPKCdNr6TRg032KeEepLZ5iy13OQf pdwjl3PskccZUtjhFvkMMswQWzRwlCjnuUsZ/7nNfVLZ5QJ13OGAcka5yAiX GKOCz1zmEwV8oZIJChmniEmq+MYVvnKVKaqZoZhprjHLdRJiv9NNmBVWWWOd DTaJsMU2O0TZZY99lpgiRCetNFJJMbFIY30eAgidd48= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0DdSgmEUhtHLD4beFbgOZRMWYuiwVXANbAFDgTlgzooBzGlHZsAzQ3Hm mXnvfM3Xny8OFVIRMU4riWhSSkcMZCLyDJNjkEkKTDFCkWkmyDLGKB/ez+gs ZeaZ49O+oItUWGaJL/uqrrHCBut826u6xSY7bPNj39N9djnkgF/7sZ5wxBmn /NkvtMY5V1zStN9onWtuadCy3+sDdzzxSNv+oq88884bQZ9bLz1000WGNAkp gnbS+ed/YRs5NQ== "]], Line[CompressedData[" 1:eJwl0LsvQ2Ecx+FfnVO9MGgFMZpJqCqtxNDBUFGqiVgxiYEJgz/XXYJJXVqX RwxPPu835yTnzZk5PO2eZCJijySNqCURDdZosk6LNh2OyHlvlTpdJrMRWR1j 3DnDEJd2og2d0mE9oMO0vaO7rDBhp7pPyblMsGx//92LH7b5Yok+VQZs8cki 71T4oM0bC7wyT49NXpjjiVme2WDUd4/1kREeuOCeO4qeF7Wg53rLDXm7oDk9 02uu0v//+gtQUCRV "]], Line[CompressedData[" 1:eJwl0l1TTVEcwOF1cmrM1EmppEQdldIMH6HSm4w73FHNNEnGDENdxPQmit47 XeETKcq7RCi3XOSke8+eLp75rfXfe/bMWrOT3Xcu3Y6FEFIcjocwRj1PKGCS Qp7SwDJHeUkJK5zjDWWscZy3NPOJCj6S5DOtbFLJN6r4Ths/qeYHp9jiPJ3U covT3OUiV8ghOzOE3/qHQRL2Cc3VHf3LfQ7Z52qepnWXB/yLnnGGs9TRRXt0 Xu9e0AH6+cU2GRzkMjXRPXkvph1kWW/oV9Y5yRda+EA57zjBe5pY5RivKOU1 jbygmGcc4TmZvh/nqvU1iujhHnsHQujTm1znBr3RGc1TusQ8iyxEd2A+q3NM McM0afPHOsFDHjEe3aX5iI4yRD7D8f3/5z9AKkRi "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl01VvFUEYgOEt0BZ3bSlQXMI9Vqw4xbV4cCf8AFyuG1wS3AnuENzd3d3d nWfCxZN3ZvecZPebc5J7j2g7PCaKou8kxkZRAstIiYuiPfRmN33YyyjS46No tE5lCrXZzwH2cYiD1OEIRznMcY5Rl5Oc4gRnOE09FrGYhSxlCfVZwwL6MofZ VPccNbhs3Y9L9OcK44l1b4Bm0YEapxM0qw7SeB2s2XSi5tAhml1zkZOazHWt Je2sh2oG7WlFbtfysNZ6HZPpYj9J8+kwzasFyE9B1rtWSztoihaiMBvCLLVj mJ0WoSgbw8y0U5iRFiOBTWE22llTNZHibLZvoOnaUJMowRb7RtpFG2tJSrHV vol21aaaTGm22TfTbtpcy1CW7fZp2l1baDnKsyPMSXuE2WgFKrLTvrX21DZa icrssq+ivXR4OHu/u5H0I52WpFKNqmTQwucy+U5m/lrHaESa9W/+8INf/AzP zTe+85mvfAnvxUc+8Y4PvA/vzxve8pLXvArz4TkveMIznoY58ojH3OchD8Kc ucs9bnGH2+E8uMFNrnKda+G8uMBFznKec+FcmcksxjGf1axiBitYyXLGMp1p zGNMuG9mSRSP/f///gdQYoDp "]], Line[{1619, 1398, 1402, 1406, 1407, 1408, 1409, 1553, 1660, 1848, 1659, 1846, 1658, 1847, 1679, 1845, 1657, 1843, 1656, 1844, 1678, 1842, 1654, 1840, 1653, 1841, 1677, 1702, 1650, 1836, 1649, 1708, 1675, 1692, 1648, 1672, 1647, 1878, 1877, 1616, 1876, 1671, 1681, 1674, 1883, 1673, 1693, 1618, 1880, 1652, 1839, 1724, 1838, 1837, 1874, 1633, 1617, 1879, 1676, 1651, 1655, 1619}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak0VdsfB3AReSmipDJUFBooZKx8lRAlc6HJUOk1UJEh+iupUFJp8JKh 5PUiNEjSQ4YGKdN1DRfXcO69Mtx7z5Vown97e62zzvqsvffvt/dvn7MX+wQ4 7xcXExNjkGfy3SYKt3Z35eO3epX2roQRjOauHZ0dwseZZD0rSbURDPJ3fI97 zsf82JAI373fEFSqmWIi4CMrJS+8KGcYsYzBn6paAiR0fGQnTRuGkZFe89o9 ArDD8+PLD38Fn2+oonZFgNvdf5//0TuE+Z0Xlyb+K4B8RMg14aEhjMc1T0nu EyBurNlHdliEUIXL9wwVhdjIjPxVFyWC2XrTNh8I0dqUZls2V4T0TwUB6geF sLjhNC84j0bc3FXDjtFCaGZN/1/0QRojyww3v00T4knV59AnGjSkTvVYRxYJ 8aDdr7CoTIgdEhJV/2sUIrxcSbubxL28ICuzgi9EatfyrvtlAtAWv9JEIiH6 csulih8LoHLhuOOCESG23emqFt4WQHlxa8H6n0J8YSX9NDsnwI7I8Yad40KU z2HtSfUXoCrgpaiSuOdnlPTVIwKc4nHEdSeEiIpIFJ49JIBa0wWp28R7To3P DjooQHT/cHQ1cf5wjOFRPwHE/ms0DvzXBPBelbh+AbGE4bHEvfsFUIgOCltD PNewutZ9nwDxuxj8g8Qfry302+IjQF/CoZ0pxLvVstaaewlwRsmsvJ7Y++Nu ez1yLlL9fzq1i9M44+KgVGwrgN/P02acqTT2dB+J9zIU4N2+Xaf7pGgonuw5 rbxYgMo1A/MHpWnoFpu/5M8g+7/+ycJPkYZjm9KIXQIfc0PSdEIX09hfX/19 riIfHyOuvlfTocGVW1SkmTqIYG3miKcJjevn9+k6Lx+EkPnrwUpLGnd/x8sH vRrAuvJKsTJnGpkKiZsnZg+gxWCavLc32a+/qO1mUD8GswcezAigoW48w6CR 1QfDm7uTK8Jp5Bab7vay7kPFCgb3/EUaolfLqS8FXxCK2DiX6zTqXIUsjZVf YKTFOlqSRiMy951i6YleHF3vetw5m0blLdYamzIekHH97qwXNGxcggJ1lXiQ 87l58Oe/NEyH+26OBnKh+WjbB/kKGqmpw7kGzRys3hmz2uM9jQVjHkZnLDhw 9+amMqpoZP/rdeB8HgV/bjApAo2syxucSng9KJ1elDryjoZxY9mjy9o9MOa7 7Z72hkbR28GgdUHdOC6IiIsm+RP1rU30q7ow/FXJ8txDGqESrn/zNLuwQpnl qXyLrG+sb+G7+Z3YK7K09ztLI8PNoC/iWwd+TKs/V+dDozo9w+vhnXbMMAg6 dwQ0apdXSrlub4OmRsnmM0o0eONNYR5aLPzK4fllNwmhcfH166wZrcDT9viT wUKUNZwcc5RsQX6hZfoUOSFSWKl9B2Y1Y+olvsJougC2qo/VFXWaoCcdlHN0 pgATykNBfy1l4tEsCaf3x/mwnV9aEmjciIas+pxdtYMYSWhs0vdmIGqbg2Sk 1iCuvTDXDrvXgFHl4bzA8AG80Xg75/dIPW5Y7PA89qkfNxUWykZ71UPCxV86 SbkfbmrS0/ntdfg0z7/r+599UC2IktM6XIdKdd2qkJNfcOSCC72NUYs5OqZ5 18/1QtX/AqNEphade+0Zxrd4UNsqlhkfXoPPNwJtp+Zx8fHJeMW6hTWIdoof 3FzLwfpshmXz189QCxmqmvWdgp2H3czekc84P7DHVXs5hX82BF3006zBF7nq piUHeiBucs664EwNPmrAMiSiGxl2mvr5urW4pX/oTXlGF+L/MRDdk62DIusi bVPYiYFgeodLZh1kNwYye+3YuNSwZVW6Zz0msjZM5Iy3Q21nh1iWTgNOFAdN T2xoQ6x6Sr2XKgPJye1sl7cs0Hu5nb7ajSjXUraJYrZiV5m8LW8rE+HFW3Ze n9IKhdgdor9imnDXajgqf1ELvmo1Ms5qt4DBMXOP2NcMjVNh/Y+7WuF8vUmi tqoJMS/vP4h81AYnacuiFPsmRFi/KY051QF42P8QDTIRNv2srsiuE9+bKsZG HjDx9LOygVhsF+6Xe1WLBTLxotddrN63GzJG/xO/5spEfLxf1RH9HtyWk33l YcNEnpJc1/ShHtxwsL1mbsvEvUgZv5x0CsxPH5xc3ZkYfvD5sPp6DozCftl2 nmDCN6NLbfgdB8+8m2odbzNxbKDYw96cC1XLgEWbKpnQsIN8SwYXcSGNnFPf mei45Pngzncu3NW6rrXqN2FVindW83oelm3I/Ox7ognKMp0nhoJ4cOW9/2FS 0IQFFT1LPdJ48A4wme/4swnBaXbhtsU8iKKstk5YNGMkJrJKqYEHx4LfbkWx zQjySZzfweZBLyawV7yxGfcXl7KTOTw81Dw+cmBhCz5sfvranPhyDdsu8nAL ho/opSWR8ZYemeaCly1YMeRQsb+Rh017tzzeM7UVU380Gtm/42F23Tqpc46t cHh35GlPPg8P7rpO085pRe3W8o6CZB4aDScWnZJmYWVBge/CSHL/FLl9lPNh IbBo2p3avTxYzPoqinvFQqJ3pbm3OQ8l5VFKSbJteGHKCHRX5iG30zaJ79UG M8sFy7RGubi0olR9y5M2/PXcdGxVAxejLCubsN9toM4qZHx4zMWc4bGpinbt iHAs3fMsmov6+oUO2YntcE+mbr3ZxUXerTmvlVrbceq4p5mJIRfadVUMLOgA PcvIwU2Wi0Cf3iKFHR1I9x2bvfULB33spRUxCR2QOKhC2VZwoBJlIJZR0QF/ 7Zm8k2kcyIRuCvj+owO7upreyIdywKRtJEuXs+HvvFE/wZkDHTHaWHU7Gzdk skbkVnEQO35326YINs456GjkzuTgeru/ZEAKGyoZv+5HCCjkW6ov7HrFxuJ7 DY8u1lOw3fd4rpDBxuCzP88fzqdwaG7fvtl9bKRYRKydeofCfrueJa9+sHGb GVVmG0UhaceXjQ5SnUBcn7jOUQqMY1+PWMl1ovZyenqSJ4mn8Nfq6Yqd0LCK e3XcjkJKQM+jGqVO6L+/2qZlTsFg45pLL+Z14pvK+8p4AwqREkc1xYlbnnEz Y8m9UVqnqTJM5lObjCCmQeG5af7QOwXyX5mlb2WqUAj7kFr1VLYT/MGP/AEl Cqy38QMu0zoxe/Wgco4ChX//QOHwOBsXdhRaJctR2HaF3So/wsYt1yATD1kK Bw+s8VHgszEQsevtFeIP+1+v3Mxhw/qqu3M/GT+9zPexqI2NK3J1E4tJPPdv uW7ipD7v7H6zQxUpOBjqyqhUk/697tp28ynIfp1FuVWykdoePttelYJkJDcy v4SNcMm3wZsXUxj6NP2MbhEbxyx+R8ovpbBJ3ezQkwI2MpKuqsZpk/q+OT1j UT4bQzaN+mkrKGScqMXEM3KejRxd6FDY0iv1ahFxo8yCmpe6FOaqSzeffspG 5+hTyT9WU5Av3iA9i3hbwq/jBnoUVnTN5NQ9YWP0T11TE30Kx6RfmxcR1x/V E80j9R5ZIe9NE1sWGP0RtobCLT2eWwyZ79XvUOJlSCEts/T3LpJvrKYmhUM8 YkobOD5nQ6/9sdt8IwrLQ29l2pH10n9XH1Igzj79fO3aF2zIOh3Z003GZ+dK q5qR/bkKrUfOE8+R9M6a9ZKNvMaaO/OIn+oFfyoivvDIQuwfkr+HN3evaSEb Mawt1ubES2nLkKvEUtL7c7snv4+/142/Je6XT999kzhbr+d+F3HJ6MAST2L3 gNEZvcTFToO+xsTR1BItDrFqSutDVWJjRnkCi5gzkNMmQ+xj+uLSJ+K0BFa1 GPH2Usb4a+KkrkHzX6Reybp1R7OIf64IlvpJvE8nVz2F+IZ4htNkf/HaWOfJ 9a3j8GeMEzc/5dtEE3soiZhTSLyvY++Nw4glpjzcLkW83H7LpgDi2pJDVpP5 Zd9rMH2J95zsVFUgLtqXHeNJ/KxFrG3yfJSTV9u6EIvp7F+2kLj7W0a/PfHQ lMUNS4izlplf2EwsV3wteiUxI8QuwZrYJG7RVz1iq2Fn9qSvePyx3ZC4aiw+ cnJ80cyr8pP1uZei/cyO2Mnm0e1Jf0i7fWwy/hqBz+pJ/0qIK3Qglh8fMzUi HnSf4upEPMNLUnMy3qewVitn4vCkQpM1xPWF7KJJWy0tDTAgXmbu/J9zTlXJ TFo6Uzlu0lTzWp4+8f8BSVW7Rg== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk0lVsbB3AJhUqilJSpDJEkQrr+V1cZGgzpUohritKVSiVKpAyRKQ00 UcoQIeHeyuycEDJmPCeO8eBkPOeYbt/u22u9612/tffaz/M+e6/9blknL0tX Xh4enh/k+fWubFM62h7BRm1Y7Va7KDZeZOvxTGWwISPXf53WP4PJZ07MzgY2 Fq2yKi9IzaDN8K72JTYbLSs8zzw7OY29fdw9LWs50KzmfTpdNAWn3JJgRU0O 1K/udaxSmIKGVuyF0xYcyErscrkWP4n4vXNHE89yMJ+V6x0kNAnfvjjnglAO Zu/JLxy/NYEjG1SaPyRzoHh2RjCOfwJrAuoEz+RxwH/gYJp/1jjkouKoEZUc JBh63S85Pg6BK63CMq0cmO6sGfh92TikrmU0yw9wEC/llll+9gdO+p+UeTDD gcKJPBWxBhbUlamcOQ4H0m1iOzIKWfiYX6ViO8dBsV/uv7bPWXh7zvlDwQIH OtT451tCWTBYjE1Z/ZOD9OrL7/jPsdAa+iTsEHG20ELIk7MsNL01cwn9ZZ7+ R1pnWNimnqZVQTwLxeFadxZOF/3c2EscZbhJJuEUCzz/b1y4/b+xoNqg2ruJ OCV7PlPDlYWAQd4yPeJVAr18P51ZYLovuXaZOEj3cMODv1hoPP9S7R1xdO2P DnUHFmTLR1pZxJFORbLVdiwox3x2M1jKRfFiOU+zIQtyYnmHo/m5CMsyvTej ysKaN5nhncu4iF/JyFZby4I2X56UvBAXpqfOqAQsjmFJQajLxg1chAaH67g6 joF3n6ecpyIX7y1mZ7Soo1jnEKUsrsXFivzTahU7R5FYEGyxZh8XGfNaDf3P RhCUw3fZ9QgXiR5biy+IjkAmuu5RjQMXu1XO63wCE8dNXa8me3GRxNZfssln GD/d9W8MXOMC4WZB23KGUEW3+ONeOBecxUcxIVOD0OW3iEuN5yKYd9suut4g 7D0Urss846JE0fFJX9gArMxOSsWkcRE4FFog9bgf9zP3m9OyuVivya8lXtiH xbdKW5e+52LlfPYevW4GmMPv/5snjtHd8EZMmAFBj/8KKO+4CIiPyFAz6MXN G3MlTllc7O/95LktoAcOt9p1G1K48MltNMuu+A7FY9rnv8VxcYHT71EZQkdr Ud9Bcz8u6OlKhk3J3Xj1MFnUyo6LUd0xB+X2ThTwv+xeqs2F/sNdGjHKHVDg WfM2TJgLZ0b5h6nYNrgYnTVb38HB9QOJH83Fv+G6Hpt/hOz/LKZffMGbFphn jY4rWnEQQn8gnPGzCb+954lYushG0uQGqqZPI4b0p8TUnrJhdPTkhhvCDVCK FuV31WEjfkvZyXOB9diV3LXd68sMNB9t/U9YoRZGEW8T1tvOoNLdZ53ckhqk zqrGqvVPYzo62pRPpAp1WvZZF/+YxsJv+iYl5RSYXf43nvZ4CvmH6Ve6yioQ Lq9gJz41iSsrNJ4F8pWT/RRx6pHRJC6Gq9/8M7AUybRTr6mJE3CYme+M1yhB VwU3pHZ8HHX7dlzavaUIP4xebMgyGkff1H7zes2PaAwXrby17wfSjcxa9CP/ BVU0S3tf6RjUbf5UZA8VAi6+1rYHR3E4U+DgtZgC3EjSk1PrZWJ7F62+zD8f B0Ybl+feHsaVeZuGK8nvoRfS+D1Mdwgv56ay2ufzkLjv0jax+QFQivgfet/M A48N1+tCTT9ehL86ydLMQ7cX858X6X2oKuianlmRh5IykZVlBxhQYLuvo6zK w3V6vJXVfA8ejK5mhpjmofMC/flN6nfUlUQcUSnKQ/FB3YF0KzqCRR9WbPZ4 j4yu/qUX93dDI8q2VPJQPtZbmmRtd+gE02uhketegG36WhpPnrXDwIeTHltW iN+LhQ9G8rVBUijwVordvzjXuG6x5U4rTMJeJOXrfUS6Sjbtr10tKFJ5kTLj UgSOwBnPnbNNqLlvMLnCqwRylJAeu85G2Lau/5LYWoqsJx5T4m0NiFQw2LHf sxx71Du2jFR+haV5uuLV8EoE8Hj4Or+uR37dzXHKBBWvDs5adSzWwl5oc9xU SjWky31v3wv/ggO+bzefS6vFlKaI1G6TGuhw3Spdr3/Fz8HPbq+1qlFiFPVi nVkjKroEkkUOVSG0ytXS27AZkUm+qV9DP8M38KJ0+IlW8An8/u3mEBULJyNz O++0IWpq+UruKSoEPshYuzZ04Efb1wsJYlQks3pP6n7owrCBT5lxAwWhLhld mqk0KNmWF9x+RoG39dGJuybfIVheKTruT8Guiz0fnPR68PTvPCcddwoss3Nm Nyv24qxZXdU2RwqKmnxbbwkxsHi6MCDNmYKqOg2dVwwG0qK6tTO9KWDz5fkN Z/fhjWfsMcMwCn5TN8uW9O7H2sWe2Zg0Cib0EkNPyQ8gwr16/AvJR9Y2o9mW OgD5oA+39JdQIf0gsqjNbhDKxZVGBtpULFZXqwr2DaJG7HwlLlDR8aotxcp+ CMdLvA/vplIRNjR47be+IcyFplfwyX+Gne/TVm3rYQjM7/BvufUZZTePmnIL hiEcu3wti/UZjou8o8bLmZiWtFnxxr4KR66xByZMmDBZEHwQ2FCFY/rGo6nX mdAxrfgyaVKNJq3dPgKpTPgrxcvFUaoRd2FPegCVift+k1xf+xqIp5TyRvYw obRGwVVitgbpEpUTryeY6FC1Pst++AVpIXKSbrNM2A1pm2bvrcUf8UVbpOeY yB9LLBxm1KLWpOnr1DQTaQlLCs3v1kHttYheC5OJ5NIdrxP06qErOdp4p4sJ zyqz7KCRevStP1/wqZqJbSs1WhJOfMWfO+7VC79jwvyeekhNyVfIarFlVB8y YZ/X7KOs1ICKxOvUpKtMHBqRnLkT3YDgrGp66wkmXNzrpGtmG9B+V/6lrC4T iilVfxc7N2Jh9HLs57XkHAiedTeoa4TvV6sS/olhJFd1mOQcaMKbNM45Jcow zmc8dvUoboJcQymb/WgYTu369Tt0muGVvr84yXMYXUeWVVVlN+O2iMVhS/1h cJMiKueVWhAXVyWwXYSsR5qGf9jzFiRrij+wpA8hbHyDyG6JVuQGrV38njWE oHSHpzsTWkFvnbc6cmUIOaWzihc3foPhRReakcEQsj+8mE9N+IaqOFbMhOAQ jq0esfGXaENdQMKnvxsHIcC6su5xTBu2Kjxy6E0YxOHPflaFy9vxs3O9vZfz IP6xLN0d7N8Owznlxzqqg8hMttvULNSBQmvbl6cHBpCTcfpGcWwHDhk32wQk DSB3+JbcZ7FO5C95Z1lkPwCHbGmDG5GduFsrL/z3xgFslwuMivjZiXu2/TJN Hf1wPKHXmeLRhTc7/EN3kP9n1JeNJySKuyB5VzUl6VQ/2iWuvbJa1Q2VodzH DM1+DCW52Ftbd2PZibGE9Xz9aJUz/mdrQjeaVRR8HVv60GktaNzY2g12eLTj t9Q+LL1p7e63koYn6WmX46/34aKDxYDiYRpovpPzy037cIkrpcMNomFXrr1H 1YY+ONWksoPf0sASqb7NHGPAJidz3bUmGh486rT2pjBgO2Pm/vwHDakL4set XjAwKFI58w8fHd7Zqzf5BzOweY3p1QQxOoS3axlXeDCQ47ZaVWwTHbw+kt0L lgw8lREWmJClY2c5b+0IGAis8cteLk/O72mF6uZdDDy+YG9uIEcH61jgrfvK DOzMv/RpQJoOT8vSP1fLMmDKbWuBFB2CJVOXZCQZMPRZkLwrQUd084rLL8UZ 2Cs3eX7lGjqeOPu+813NgGxGcVOKEMlPZCRi6UoGlp6LqHzHS4eB82VRIXL/ KHtuuCxgjoZjjTq+VuS8kg8wHfhjkga/WLXBN8TRdz37dzFpmGhs4Osh4+cj gkIu9dJge3T8ShmZb+qlBPNKGw2DFt2r1EUZCFnjnXqnnoZDr7p+113LgGK6 gV0tldTfibczYgMDKZnJO41LaegPmvw5vImBV7L9N9kfaJhv6V0mLcfAf3cb l1ILaOjJl+JdrsCAg5ebxfM8Glx6LCYjSD10vetXueSSfO6cYT9TZeBsm4bz RDYN//GMeejtIOvxffOCArENV1PGcScD4tJPYvrIejo91qOIkfpmp+YuWUH6 vcMKzztoMsA3Pr0iiDi4wNLziBYDPru1v8wRN43W3P1M3F2arhaaQ8Nij1LI pt0MHF++ZJ88id/F/KpoSWzy2m8ZhXjrIXXpM8Rme0xPn3lHw0bx972exPZa ERoiJP+M2c3PbIl7vx1/zCaOHykJUSQeVl+lUvOeBlzNM+km8eo6xP8Nyach ynFc+Dbxx+tr4pVJPU7vGdJWJt67M5/7ljiyOfveF5I/JfG89ZZCGuqtzSI8 ic03bJL3I+796+jbtcTu3aP5BcTtYxn7qsn3z7+xm+4m5v89zOQOsdU++sAE 8b3m0XobYgF13Sk28ddJ/gYl4qVqOa9HiH88iZQXIk4TV45tJY5aVvRwVoOB f2TYYx+JWyQ6G6eIa8wyo5OJN6e+ezVDPLxpZnU48fO/PM0WiG/cpqucJc7h vdwlSObT1jYrsSEef3lCYT2xoG2k4yHiB3q3/bcQmzZ6+h0gFnnZmb+duPNU k8x+YgnZh7m7iN1KQwJ+9cv0qA7vJrY07kk3Il5ZvDJDmzjOzvenMfGrsctC OsR7bXydTYljzh6U+uUrOh/LDxKfGi2d/DVeY1256GHiL/ddn/6yFWO17xHi tetF1/3yHwcDs8yIVeaW+f6Kx+v2NtOc+NNiZqsW8Sk1ETcLYkH1x8a/rLk/ avqXdf40qdQk/h8nO6Tz "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF03c8Vf8fB3CiUiLZGmRWJBElyatomUnZZdP4llKpKCpJlLLKVjbXbtgk I4lI2aNrXPO6Q6LIxe/01+/zz/vxfJzH573OOZIOl02cl7ERh52N7V88yuP/ Lxxgl7i+6pBtGCw9rNO4F5aQqrtb5q1ZGPQClWJY7Yso0hXbFnA8GDkSajPs xQu4yEs+HFD2BOUWpi+uJLFgv4UqNv3xERxYTPUsy3moONU17B94ADGHj4/Z Nv3FePSxwxu/30PP/rRhM/osinI62xrq78DHJrLzZv0ftDa1U4Kpt7C4Lqne 6MZvmJOb63UU3PGQa3C7keoM1iuTRZ/qXIVW+vmFAo5pPA2s1Uv9exkWYint rYlTCDh+ZDKF9B8GT3MY1lj+xOI7LhHZc+cgNvUqhHfLJDxp7gdjmc4435yq YJxAx8K+fQESpY7oTfimXbV9AiZtlyyytzlA5KdkR82ZMVh07OoJ6rVDbcKv kvbOYcRzLckWSdnBocN4QadtEBfyOwsty2xRLGqXslWzH+cbwo+oGdhhZVAO i7nQg31CO9Qb7ewxvcCdpSTVCaOkk1Om0o5Qky9U0Yhqg9MJkeY9005o91Dj HT7VAi4tL/O7OmfxQHbUbsHwGyji2j0JchfQaeS9XprVBHNny8tXii/Bq8uc UvK+AUcKfJ+9WusG009WYm5ddVAu+WKgXHUNbod+tXHr1OK4ig0fN99NpO09 Wr/vcjU6hm+vEVS9g9Vb6+myfz9AmudE97Wz97GX52+Y59MKKHfvcul/8QBb l0Lc958qR5k+J1lX2A+jD7mKzQ6XIkVxnU/rtD/YeLTpH88UQ+LIcNlFBCL2 c314dXQhuD9e1mTnCMYQ58Rc2Vw+qsaFdpxTDMVBaa+tF0jvMJ+nLmtn/Bxb nkt+vX75LV7bjtWdLQpHiH+5jo/eG9T7USvWuEbBRbXV32jva3w+dyKs1TMW P1QUuzI08vCnouuX8fgrhJEDvzbw56KxgFO153QCGr6H1Dyryobu8gXN+OFE sPodwpofZIFLYFtnWUgy1F9xmDWaZiLUgxSxxSkVG9v4Euv3ZCDly2AJl106 WoMeKjoLZGDu1Vr33ynp4HGQIWszSZC43UHOpKUjOKHK2LGBBLOVjovyqiS4 cupI16aRINx7v8f9DgkDLeq8Gskk/Bz1ai19QAJZYnliTjwJqbY9vRxPSKiZ fkaWjiNhg6/kjGEoCXrSbGk2MSR4Zx5/+OsFCdFR/87/I9O6s7gtgoSu1Nlp LeLex0NrOPnDSTjxTL11iMjb62FGe0zkEbSOiVZOJ6FM2PIOZxAJc+Er3e7l kpBoO//Wm6hbsIfT4lsBCU2R1KZz50gQD0q0uciWgVcvOf6GHSYhjRUn16mX ge9KIu1LUiSMbN5ZLRyeAa5ARc4sNhL6NB4byg9mQEoixfDXSBp23svoOvQk GwmJh4rPkVNxk3NomeS+PLhITyZpjqRA5PLTjBOtr1GlKqaQsZCMNxdyrgg9 f4tuIZG439LJuN8y8OC8Vz70kvqqrlgkIeua3YRdWCHIDfUVbRWJUCt167W2 LcaBcqV2H6VEGLYIqpvol4KHW/PGtrQEHJy/urbbohwD+7pYXnIJOFY+7+AT UIEX8y5+e7LjIWIfwXJhfkDsDrFHNxTi0TG+9WaidRVk/0sQ3+n8CkrG+05n DlSj9PEfvRu+L9G3zGOdk89HHHwnWcj5Lg7s77vZArU+Qddin+iWX7GgaSXf LhT+jNRF00NKB2MR5vuMdJS7AVG8I6c9jsSAVC9MHTFtQkClwUWbi9FY0WW/ 5ddUM5wNZXzM+6NAN62JVTb9DqGiK+7RjlE4LCSt919dC2ZcnuSfmImE/Jej Tp76bbi00fZS7vNIfJJoHJ3obYfCasEr9AORoG6Up7Hf7sRxifjdhnMRkD/L xl4s3Y2ZKI7R8fcRCLfb89uitgccVP97z59FINSRNBzh+gOXeCuu5Z+NAOsM NUxifR9CHA+vLdONQPOQroyOYz+ElXQDxFUj4BW5wSRHfQAyosnLrOQiULF4 q3/TmkHQt3f5TElEgChw9XzvIIqtVzHHZCLQyCPiVL93CBdkQwOs1SJw2ky2 45LGMLT26u6xJfLPyzuE/5wfRrU4+zcFxwhkPjccUsgfAYkvKtreJwIL1zWE Ap1HcWaTwLe01AjUvdYpJK0Zg/bAFsesrxH4dCfYRztjDOlDpTHSCxFQ5Zjs 3qM1Dt5MvqZPOyLBdivd4kndOF46rGezdIpE/hAb2UqXil09PiKNHyJxcvYt T86yCZT0aHa9l43CN6VVsx0pE4icrHb0DI3CV7a9YS6qNLS4OB9zXhGNyvPP Pdfn0VDJcz99/l40nmsJNX5eT0fAjtanjewxeLO1M0/3Bh3e+vfv3fGPwQUy p6hNDR2dPlbWxYKxOGzcwshZwUBySXxbX2ksdgk5Qu4IAwecU/dknI9DcpTp bnVPBtYXbnft2vQSLZP9oXnJDCRUOrLt73yJY+94/TZ+YmA2nzKQF/kKB/eF +H0dZODowP2Gp0rxqEgxUhufZYAqtN244EU8lEQ9I6xXM3ElUiG0cTEex1Na FH6KMGH3vsjl+4UEvOuWjjKRYuKVdvmF2q4ESDs5fuWWZ2KOLz8mWz8Rqa1a QcFKTIQJ1aac70uEwUWf7qldTHRRR6n0m0kw+P1QZfluJpLc7LmMhJLRYqb/ CIRbDYez4wuTsUVbfc+SKhPO6zZKLtmkwORVRk2gChOk+1u7fLlT0asWemYz kf+PR4Di8fJUBJ/fcHGYqO8uIL2VdS0N2yTV2NjlmJidn7WQ3ZkOv47usYDN TFz2FhSk/UzHX/tvCWHrmXhLOl11tZiES7Q3c9sFmRDbp1jd65eBWxRDMXse JqQEXE2MrDIhfKnaWH0FE481+K/SdmVBvsa6sGiRgTjB6Zkq7WxYXBAKOTDD AInr2xSPdQ70o1/cNZ1ggHZMr2+dVy4CHEZd//Yz8EdzhdjjU3mwUvmZs7Od gRmZ03HZzDxs9jG2nK1nIJRvkSUc/BrdK+XijSsYEJ1PO+Vy6g3qdr72W8hj oKmEsuX25rdo3H2odlUiA5/dNlUGT7+F+uSsllsoA+zt/daDze8gsTVFR8mH gRcODWMZ+fmQOhlUruXGgEOLzReZpAJovw4+HG3LANdL/W7RzkIYKIY0BB1j IPLhFZrNhmKsy7jbarGTAQ+dpAy7SyVgNe0oGRdmYD99ttenqRR973en72bR cZxfVE0G5eDmuf52Vz8d319WikfHvsf15N148JEObpmSqQKOD9hGtnIlkeiY JX1YGq/4gDa/dLe4QDpodZdsWT6VoLreyDBzpWNeWDl6yaAKqdSzZV+M6Li3 LcHDO7ca8W6qZSxhOihs/NsLZT8iYCbGyqWHhqCdBT5+ubXId3JaPRFDg9W3 rooAgzpsXbTjv2pBQ9ah7vVCrM+YnYoWpPLR4LUrslu+vAE2LRsy9D5OoOij 3/JrzxoxxPFEI9x9AmZRmRqqrl/Be6yppUdyAgztq/Jbspuh77l9zd56KoSK jao2pH+Dw7LrjB5XKmKocabeqd+RX8NWwMlHxViDbXdiagv0FKtOrMwZx6xi pVFuaivO2BmHGeiOYy6trTcxuQ0/TFuaTQbHMLLLpsb2ZTsEBLb3Z3uMwfwb m4pLVgcspSbmlDnHUCOiovEotxNB0lzRHs9GscLu9A/RY114sYqj0fvIKGj+ j7NburvAuun5bOPSCGgvJr0lz3ZDv/pzYlTRCLTyk0Q8ad0I+jGcvv/aCBwf 1zY4X+jBOm7FHcZKI4h5bV9xt78HzZZH8kXow6DGJauaH+lF+Cg5L+/1MHLZ HzD4Unrh/ee++vZbw2jyGvUPYvWCFnGiq+TAMGwoLztqDX5gki5/K4B7GB5a QcOlL37AV/1k7ofOIcQK0SJ8O35AWu2Dhm/6EO7dbaEpiJPh2zxHtnMbwv0T v3c0WJEhPlwndEZrCDr+ZaTBp2SQC0gPwtcO4S1vVjd3ERlmbo5fNg5TcM7k vvd0Fxmxw+ZeP99T0Hj773HLaTLu1PmaccVR8GmzRS4bVx9+/7o4dfQuBVHj ea75Qn1I2R1b9diZgmepItMHxfvw6KSrefxxCiJX6llJSfXhpZxviC4ocA// dH2DdB+WmeF3qDIFH1Ydy06X7INvTqOUgRwFTF0F7Cfu+1hpcmpvouDoc4u9 OmJ9ODFX9h3CFFxzj2pdL9AH/lN8K/jWUfDy15fJ7jV9+N7nLVnPQ8HuWpqy zIo+HO73vJPBTUGDuDpLbomMe2syDQNXU/C1eFKfZ5aMKy5jmgaEnzcJz/2d JIP/p3N+HWHuaxk8vFQySNUZWweJ+0e1DlEL+shIKirnCOWlICu9ImR/Oxl8 lRzqIvwU1G6/u+xrIxnSAnUhG4j+MtsOZfrUEvsqiR8wX08B5/DFFJsPZDw7 vGgfJk6BYKBAgnUpGfQxgbxEKQpGv+aeO1dIxlV/H1cXYv7VTfEzM2/JSFlt yO8gT0Hl9aU1b14T7+NHb1SVIrGvTyJnz+eRcXbwWqfPTgrOJCesHc8lw/+n MitNhYLJg/ni7MTzkc/6jlqqFAgHFt3zI1wqkEQ1U6NgmZTR4kkin4OAexnn bgrmVwVvGyB8s8J17ADhbSrT4jffEPWWlhQcCS8+TbBd96+fAoMjlwm3dWRt yCJcqbRQfY7wrInLlkPvyBh1vDZjQjj7aDCznfDPug1jOwk/fars8j2fjGOJ y/K6ifqCzt8fZRWQsVOwsfkqYUMRfhN7Yv5g8+dcywlPNVjrTRKOihXniCb6 9zpj6m1NfJ/dWrbv9hAeu7iQlEo4UdS+ZmAXBSU27hqfCTdrLmrnEc4VZ4kO EA6t89d5SNiJn7eSSbiqPzTfjvDvctuM34QtF7SttQkbrpHR+EP4xg7F1m2E 9c2+NE0SXpIbMOUnHPff4Zihf/8HL+eZZYQfmazObCWccinm/Syx79Pc215X ETaV9TaaJmxAP3sql3C+yhTrF+FNJSrOsYR7u/+O/ybs9V6k+DFhrVuOQizC 4kZ7f3gSFj5WlfIvv2rtmJIL4aDAF5q8hKlOjyTNCasyVkSJEW410Sw6Tjiw YU3J5n/ztn8M0vtnVX2GHOH/AUrM+1U= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Ak4VPsbB/CxdEUkUQnXlrI2tyxFljdM5Cqy3X+FPLiSSqHbPlnicpOx 3KhkuyhkKQllu1lKSkIMZoZzxhwzQpH1Uoz/75znOc95Ps/vPe/vfN9znqPh d941QJRCoRSik7wa1iS3HWL1gi1jXNUraQGMz9kJh0Z7YbbuvMNa/wWYiIgJ 0ZJlgkTDjq7sqXn4j6YV7WTFBJuhv4ShZ+dhoYQVWXyWCdt3j/72dmYOvnCG U60eMKG+lmOXEzUHJ5e46RveMqFMUatIRXEOqHcPqe2YZcL66hu6EVWzEOdo 3HpYpw+SU25Ec2mzMLRF7exprz5Yp6H/JmtwBtLoP7+LSeqDh+x/hZ3XZ0DF W2/To6Y+GG/lqpdrzMC/3wvkemb6gP6prTylYxqWnPkTJ6j9YJPcLLZydhrU 1my4mHyqHyaHdRsb5KeBtneg90JuP+ydCZwTbfoGJ/N6ghRY/SDbXeO29Y9v ELxllUWXHYCdFfm6Jw2+wavKI5XZLgPQM3vtH73nU3CFwr2zkjIAQs0xD0+l KYg6IKNe3DUAtRFr00cSJqHQw+n9cxkW/BLqgUVLToLP7vpxHQcWqM+wzbWS voJlDp54PgW5NC3UUuQrpER3/h7UzwL6CaIoOPwL5Gc8eGCgzIaAsF8D/dd8 gaIuYWqHFxt+0bZ3oqRNQLtBrppPJhtUMhTGnA0moKt4LFlJwAa6yMXmtBfj QOUt3pXbyYGnvo+oqY7jUHA55aZ3KAd28nrmD4yOgZJcwt+bnnNg+7GgKx23 xmDri4myHascmGauq1pQH4O+AN3OavtB2G5elfvl1Wdw1zlSzU8YBJ+JrT4t AZ9ha1l4btfHQXB/l+FZKfcZNpv8+aFQaQi6Kh9WsStGwSdZZI2o3xCI6m2z kPUchd85PAnJR0MgOPoyMlJyFFYx8RGCGALnfrXRiAYBjLTPYwP6GLg01qpn nhSA8P25lalgDNJ+8uk5tRk5jf4ssBgDoVTWgP4HPjBqmJr0YQzcrfa2OMbx wStWryNQHocKQYqGgz0fNLdnLPrvx+FueSqtZh0fYhWrNz0+hUP6nk4dm94R qL/1duVcAg4K3Vzde/+MgJH6rL9WAQ6q2sft/7o6AsfbJRupDTi4RW/mF7qP QJio1afibhwc9pRMsnePwKFj2yyqCBxc9D/NrpUbgTO22eGnZ3GIpyfUKM8Q oPJ0vjtkAYdRKHP+NEHAnw8YaieWcLhRXOiZxSfg3inFEsNlHCLrRp7ScQJe TIy+mBTi4P13nVoIiwC7H9N+Rqs4MCwE3n0DBMS+XtN1GfnvGZlOC+Rz8car dci1f2pfyO8ngNPrLoEhi/tOdf+GLEIhDy705YdYSiG3vbs+vQH56kJmWUMf AXOulhwNZDwpRi8UuQw7nGOLHLvcajnAJKCp/AYtANnKcTwakH8OYb6PRe49 TiwX9BIQ37o1tFOEC0Zsm/T6jwRYRFjukhbjwsqdnGF+GwGq17t0LcW50Oza WKLZgtZbL0f4reHCIQO8I6wB5dFoPOErxQWXPPHauDwCbHVzu46u54KH9XsH z1sEvMQ+mR6V4wK1RWgwGEpA3zyj7Zw8F1hXBr4veRKQGGV9qUSBC8fYgg2P 7AnY7muTu2ETFy7fHjZlGBDw+G6cxhSqhwRlKboCASay6vQw1C+Lcm+X3SoP +pxj/notw4VAz+/vm77wIFi/w05GEs3HXVuqdZAH4zEN9WEoT/LM7WW9Th4c ZTmqSszj8MjMREqskQe/0hLthFwcDhptWayo5EFJgkJNUDsOV5XebBwo5YG0 cCy+vxKHn+oTtDcW8WBjqSz6keGgse4aX6yAB+3bLlfmxOKgGLXWzQ15VToz 6vV5HGTM8pyKUf3p6z+8itxx2NGiUtFdxoN3TZGXeftwOJptdGAZ7afMMdvz ThOH/NG2I8UNPDBt60hJl8YhicLoPvWWB3vu6jtcW8RAtOf0Unc3D7I5Desj BBiIpUh6MlC+lG2UYQoTA72Kkh+xn3nwz8jULxqtGCiPFnsZz/Hg5lAOo7kG Aws5yhNXNK/huIvTdU8xGCuPWV8uSYC12qDVYCEGa+ndDbryBAS8vuXwNReD fsOP+sXKBJxdZbX4ZmNAC5ZO7NEgIDjcV4SdgYH1SFzQEW0Cjp+efLz3AQbs K75629D7Eq3Tp3mnY2Akn09x2UVAmh3nPhV5v3+P87ARAdzZhyvJyH/4ZOgP 7SHgx1iSpyjqR030p3nvI0Bf8puZWRYGv85oP2qzIEArmBc/k4PBv1nCPnsr Amp8F7nzeSjfhY71YkCAac66TZsKMLhmIFukjryeczpH/zEGZ/6T2Pga1f/X FOlVWYrBjWo+DbMkQDvu/kEByp93/WDhQ9S/6HAhtawCg6urFz9bmROgk7J1 C6UKA0OfRJMPZgQ4UU1LsWoMPBSpX/1NCXiuuY7v9BIDhop31Oa9BARqXRX3 RPONzxXQJ03Q91r/SuINsun78Dw/ZCGtNVqxFgPxS9Y+hDEBUl6qD/6HXJQ6 2x2CrKAaFRyD3HzzDC5FrtuJKOYiNyr/bvEMzeuogJX/FHk1+/tFf+RsOW/z J8iMhhCnFUMC3LZ35aciC+Tj6p8h1zPCngQh/6SrdukG8haVL1ZGyFWLXZLe yJP35A4uoOcbxVlSh5FZRuPjD5Ej1Oy9HJHr1G4yPZAlDfSljiHXSvsFyyCz l7tLQpCtXpme+Ijyl7bTOxjI9jTD6XTkxV1O06XIZubHfUKQLbJtI9uRzxq3 qLog24bdLh9F9qtr1jJHztQOOUlBeYyKdJZ1ka9KP15WQk4tkqRvQ96VLEqj Ipd655zQQn7Gv8vfh7zPuqKdrOfrvBSxQeZdyQjfjdzyQZWgIZs+k7Il+wfv DEwi7fZcXZ2GXDGlJ7BG9nMPNnFE3r9jgmaFnCfosT6C/O34y/tkf/yNZpAb Mnu1/cxe5Pupu73dkePzXTX3IAsOJ66S3pIcsdYEuTmj28sDuTKToWqMbKKX HkW6ie3rZ0R+71qWx0iHvnQONESOFdZ3kvfbymaN7UauNX6rQton6Lc20vIK g2Lk/oHhDZJkfQGxau6KPH8Ov0b68x33TnKeR6Q38khfUPIrIW3z1F2T3G/o 56VS0pdS22ik7bwtX5Gu/h7uTNpV3JZJ2qlsypE0XeXUOGmBS/5+0qkHbs+R vpM/a0L6iUTyPGlOTMou0kkBSzOk1TPTqaT/D0gyUOs= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.4800000000000001, 0.5999999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.5000000000000001, 0.6199999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.6249999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVte26MEWW4IldkWNXcGKGI267RWJomJvWKImdoUYNRhRYy8oatAY VERi74gaP0RFBSkCAlKkIyC9qNi4vjG+39znbV8e15Nz7rvvvfzF+I255mLO vfdaa6615vwa2yywmlnKwMDA/BMDg//xd/WKd22N10Xppt1y0E3qflbpd2P+ o7OjQ4SNSt14sd7CR3is8Q/Vzl0+Joz++IExUV69vUUfRh9GH0a/zKmX4VYz H4g+jD6MPoz+mAoV5y7uFyL6MPow+jD6Jtdrzf7KOkL0YfRh9GH0DRc0m1Vm dozow+jD6MPoP9tR53xK93jRh9GH0YfRHz23UQe/O4miD6MPow/7JBvGTEy4 qOj6tjh7xjJFmTjPpXGFIF/h9Pwp6Yv2PhKmfasGbdvtDk+V9jDyXc/NTn8/ 9ZnIYeRvA78ynZSWqSQcMF/zzbxw3RPbQ5+2m75PsdANG1GwIkAY/+CjGyd2 79TturDZqY3Hyn/mqFQMP7KwR8VkpdHZKvf2u3gLI1969nh2411PFYsa+3pc s38o8g3BLfa2PPP4g/ZPNp6bX65+urRHn+cB037Q9CuZ6a4Zwue7674LNM0W e5DzfrCf9wPzfmCel9Y+7ftCjn3a9rwf/IGR835g3s/+Mm927dkcogTM+s5o QudUZeX2uavGTdmqq904Y02r0W5K9RFJ5WJn/q6cbZQwvMzsJKVr4q1ew46E K3VfpQam5qSIfOz6txZ7NmdJ/9r2M7bO3GF7MlkY/zpscY7os/yxzuT08dEm Cxcqu04Ft9ky7ZFwYUBF+0eDHwqfjlvn2mOGr7CMbz0vavJ8SJCZt/DsBw8S 7lS8KMz3VbHVb9eyp1yV9wHjv7ntzj+aW14Sjo066XllkU70271Kf7xx5F3R h2l/u1HS+KO+t4WdQ3LHzo++L/oZ7Uo/23otSPRh2s9fX2zdJStA+PCB9a0N DIJF3zuhSpq1/yPRh2lf2Xbr70kbQoXtvt7d8n7VcNHf42T8tGFspOjDtI9v uf/YKefHwhalDjd3bBIt+t8NMklOzYkVfZj2l6Pcj9qefCK8I3KM4ynnONF3 eXsgd+xPCaIP037AwKiHDWPjhV9dmFzVsUmizCe0h5nvmF+Qw8j5/3DpIzvN fav+Id/rjW0RS62u+Ai/Gjo7QPc0QJjxov2+4fCbmzNLX4sSZn5gvmE8w/S/ NiTb0n95mvjL+guznsKsjzDrHcz6BbMewawvMM+D+ZLxyvzE/MbzOlznh0+b DsxU/59+fOEv8w3PM+vkc/9zpdT50ednXYa9RXJP5keY7wGm/cJafVpnF6vr HUx7GHthnjfM/Anb+NWwrFkl9IP1zmd7nyvbV6jrWYxLg1+7jclS3IPtR1W+ GKrEN+/fpNXO9/PlzfW3vu8V3tNobcT5rLmbhCNHP5u65N4h4dConQE/7fYQ 7mV70n1Smz+Ed4+ckRiceUfY12VRUC/Pe8IHo3ULzpcPEu7mMGDWnPkPhZdu 95+3ou4j4Srmo2Z0XB0mPKhP1Lf9TCKFk1Kn2bzeGSVsXJg659OescIx/l3a J4yIEy4a+brTsxYJwgOP9TzjE6nydNNSFwLPJgmfW92/7YnpycL+5Sp0vNj1 qXC98Rantmc8VWYXb7ObXSlC6fJL7fRmVVV5lzijc/u804TXdRppsnRZury/ TU3uVu7WNlVJWNfj1L3cMHW9Xri+7ACzh8q1NT2XupdJF/1DnjXbrxqaIZxd efyJse9UrrSrwZlpoVnC41Kmtu7xc7bistktPe2b2/L9Zx0Y7DfT4Kis/2a7 V5RZ3iD5Bus5+jJ+9SzjV88yfvUs41fPMn71LONXzzJ+9cz4Zf09ZjRrUWkD 9X2w3v6Q2Ll6rUOPZf1lvDdOy1zjNzBF2mvjCa+W88tapajvg/ENE0/MHXcl wsnxlrLOoO0UG1/1+Y7JyHCNjT+uXF+w6scxeefEvonr9jc2Dvj1A3vrOK/L 612YrPT0f3ez0sbHypFrNWuvGp+ihH1asHtUQz/FS3njpfvumZIS4xmUssND OfCNg6uDcZbSt+Oi0W5hh3T0d7pBt7RNnc8o+XOajDK5k6U0T618MNHmvMQr /D/iKZj529J2+mkPt8fKmX5r11azSFGuJqfWvFo/WuKvfU4dbuo6RynxMzvc 6+CgxmO2efumTnbLlvWJ+cyy8vX0OYmPde3vbh6kG+3S8/PKy33qGalsa3qu zswXocJnTQt6XPB7JMx6Rn/VvjbZ+ebCQ5FHWKZ9dzo2SHhxXJ/V2dvvC6fH 3bu3+Us/YeInmPWR/k826brAuMItkZs3udB8zdSbwll+A5xb2ZwXTnhg1cbm wiVhxofEV/rnu6/KzpN+n1xQv08X6+QK0V4yniSe0ssLM6cH2x27JTyn3OL4 /cW+0l7iJ738t5H2ARX8/NX3e9kna8/OYGkv8ZJe7jpxWPKwF+r4ezI7NGPK +3Wd9hIf6eU/GE1IrFnhsfDFegnpLS9FS3uJh/RyS+/Z8bF1nwj3f2pX8H1i nLSX+Ecv39nt2oJRe9TxfcbrxyWTvlPjH9avN5Mmhde/Hynf+6yr4Y9nt4oQ vhdlZHq+aqjwZHun1rPOhQnzPdGfl4v/qjO/BIvc6tV2gxf5gcKf9zA4tvH2 XeEBaysdzi3tL8z3BPM90X/FuysGrQ29LfKzxXHOX7bWCc+r6BB4bc8pYefq ETGmQzyFiS/oL2jC+q9sgj1k/qi7LKD2Ly1vClt3nLy43Nj7ws2fWdkdrH1b mOfP+sHznpl5b14Dd3U+dFiyZVHzH9X5UOIH94SgSoMeSH/3XjxP9rwVJDwr 7IbjwqhQ4aCOXZ2ufxUszPxLf/OrGvZZMjJM5GUurVda5EcIH95lmRFTMUa4 36SiM6uvRCv+bxpecricpFTOuZfV6tvID/wj3sSfQJ/ADMMO6nyeabErp+In z5Rt9UOcOr8KUuPTuGs2OzL8leEjFho0TU5XIn5rd/HwgwAlLtogtPLVdOmf 9ZH+urqEfZviqa4PY5o7L8jenintWT+RH1kek+7bJ0tZdX5paIuWBxVP8/q+ d+ZkS3wp7+9Wx6nzkyMlPvXa7FUcONVP4s24zg3a2szVKQOUApMjyzKVbb+X /mK80VXZ7xK/nrvS0mmVe6Z8Tw+9O98+XZChWIzq32DUbS+Jb10G+8c1sHKS +cxjc7eudnVXC9+zzBldtihYedJrXvW5FmmKTevxpw5NvauMO9H+q5v1M5TI 12aGE2aGKd5mPkeSg5/K+OgfktY+fcQVHfEtTHwLE9/C6N9r+CChdpsdog+j D6MPNz+X3TfWJ0bdf3voLJu/ThAOdPr5dXS1p8Lzln7tvqv1M+FKI2uNHtIn W/jRvuzVBqdyhZtuGBkedSVfeImdh6nH7UJh71n11joGvRCuam0fOS+6SHhq /8T2g1NfC58xG/hz04K3wsVNTsQUFxd/cH5FvIJ/MP7B+AfjH4x/MP7B+Afj H4x/MP7B+AfjH4x/MP7xfeMfjH8w/sH4B+MfjH8w/sH4B+MfjH8w/sH4B+Of 9vyQ8Ym/MP7C+AvjL4y/MP7C+AvjL4y/MP7C+AvjL4y/MP7C7Ccvjmoc1qhr jvgP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+z7npWmPXqlzx H8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/Ddu23J0We888R/G fxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfwPcT6x265cgfgP4z+M /zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+b/ikXWjakELxH8Z/GP9h /IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/O+59Hz1idufi/8w/sP4D+M/ jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4DyfcnfBySHbcB/dT7D9WuzU5avhJ ssiN1z0bccU4Tfj69Avv5ptnCpse+uNRtWM5wit3NDbJOp8n/MB+3Zr7NwqE 6y5Ii3D1fS48d/KwdqvDXgpfGXZu3YSEV8Lle9SINs96IzzGZHnHaq/eCeMf zP5Ie7/G/oD3DRN/sx/g+5DzNf15ymeVEgvHReUI37ab1flBwzzh75PSlvac kS/cdsS8i2fdC4QT/8jJ/yKzUFj7fWnfhzY+Rs73BvO9wXxvMN8bzPcG873B fG8w3xvM9wbzvWmfP/EVz5f4A/9Zj2HWJ5j5Gmb+ghnP3HewH+O8n/0T94Of 5q/eUj4oW+47uA9gP8Z5HOcFXaIOzDk78aTsX2D2gwsbRXds3OuC8LZlP80z 7npYx/kI7WH2P5x3IIeR8//hZS4jna8Gx8p9zibd1iNfFsYLR5zOLapumCTc 8uDo4dmVU4Rtt3q6+dZOFfZZ2eDt0abpwp9/99PIn9pnCM+YkPz7xO5ZwuOO NjWo3zRH2PBX6xMVWucKu+/eYP2iXZ7w8C1XDZM75wu/dMg4GfxVgbDLCuOx Xr0LhQcsGV769MDnwllz15zeP+yF8B6bi+M2jnwp3HN8Shm7cUXCSSNqn50x 5ZXwlsFDJljNfC1s1ntluV7fvhGO/vL0OdNFb4Ud2sdNrGf3TrhNy2rlK6wq /uD+7cteS7YpN9LlPID3g5zvnfHL/MN6AnN/x30b7dlvcZ/HfThMe84vtPv3 /+x9FvONy/Zm7jsbJcn8wvkP8wvM/AIzv8DMLzDzC8z8AjO/wMwvMPMLzPwC M99/7P2Zm3vR6Ob/m/uz4KtRjX2KzurgB73WbA+946bT3g997P1PSfc3/L/u 5tVqHTmdI5wQeyG0Svlc4ZzDTtY18lXeY9HlcweLPGE3ozp7fu6SL2zheXVk 4Q6Vx6888KhoRYGwQfOeu755pHKVtIY1vvMqFL7seDP4cZ3nwqxXMN+/9j7i 5RmXbWP/F/c7Y+Or+sYOTPngPmev3VizUZ+p52OsF86+VVc5F2TI965dL7jf kPN4/foh94n69QNm/YBZP7T3J9r7I+15oPY87mPvh/BH1hO9PZ+tj+67cv0l 4YOjDPcGjd2v+//9/oZ4lfF+PGDH/rg1T+R8uXHXzRZDdsYJL2qZfbjZrwnC R6xNXIcOixcmvqW/3P47XjUflyhyXa2RRQa/JwkbfeLxdfTFFOHenQuGl5qZ LEx8TH/bm449FrPwqcgnPa/r5uGVKnwq+cc3jg/ShWOrX397ZWWaMPE1/ZmW bjRq94ZnIn8dmmA1PyJDeOjtAb8PTsoSXpXncHzB7kxh4nP684t/ajDUJVvk D8Y9sq/2fY7w0hGftDH4MVd4W+rRNtXDVDnxPf2Zx4WHGUSr7esP7hqW6ZAn fLvXtz9FbcwXjg6vsCYrXpWzP6C/te/ngeinavvvvvzV5P72AuFq7QPDLzsV CpvcnRdxP1OVs7+gv9Abvzl45Kvtr7YwdHDd/1zYpmGnto6HXgj/cPlh26NF qpz9Cf19cbp0pGOx2r5irZmP7Y+9FD772d61804VCfse7bxudVmV2d/Q3+Jf v2k/v9IrkY8td7/dhAsqG7x7FTnI87VwbadfoiZUVZn9kdyfbfFbP7jWG5G7 F5qsN9epbJk5uUPTO2+FZ69926FLA5XZX9FflZXtYpo2eSfy50k7oqv6qXww 2vvn4qBi1b8l0zZUa6XyP3ufw36L+XB9q7yL4TNV3pMRYh49PFfasx+T9XTP soLBx9X1wGLcGFtLpzxpz35N1tdSRZ2uZ6n6Bj6Rl7we50t79nOy3i5YuaRt J5Uvd5xc2NG4UNqz30M+Mbr4vIudynN/izc7avNc4knmO+19kvZ+raT7Hm2+ gfb+R5tPoL2vwr44++Ev5lRWz3uJN4kPYeJDmPgQJj6EiQ9h4kOY+BAmPoSJ D2HiQ5j4UGsv8Qr2wtgLYy+MvTD2wtgLYy+MvTD2wtgLE6+Sv0M8CxN/wsTz MO8Lpj/yf+gPpj+Y/mD6g+mP/CH6g+kPpj+Y/mD6I/+I/mD6g+kPpj+Y/shf oj+Y/mD6g+kPpj/yn+gPpj+Y/mD0yZdCH0YfRh9Gn/wq9GH0YfRh4jPicfaL MPtFmP0ijD77K/Rh9GH0YfRlPtPrw+jD6MPosz9AH0YfRh9Gn/0D+jD6MPow +uwv0IfRh2nP/oN4k3hf8v/1+XqSn6utN9DnK8l5pl4u5wt6Jj6G+X61/ZHP hD0wcvKXYPKTYPKPYPKL+P/I+f8wctqjr82flvND/f4E5nnCkj+vZ8mf18iJ H+if+ID+YfonHuD5aOdj7fPUzs/I5bxHz4xHrb7UJ+n/H4xc6o/0chg58x3M fAUz//D8YeTML8hh5Np6H54v3zuMnOfJ8+b757yS/H3qK3KtBt5JXZgn55ec n8LUfxAfcb5LvcbQChWSG1fPF33yv2nP+R3np8ixB0Zf8mf1+viHnO+B90F8 gZzzYDlP0zD/j/NomPNnmPNrmPNFmPNDmPNBmPNwmP0p8w+MP3IfpJ9v5L5B z/hHPQpMPQr7VfqH6Z/9J3IYOftJOQ/RM3L2h8hh5Oz3kMPI2b8hh5GzH0MO I2d/hRxGzn4JOax9vsyvPF+Y50m9DUy9DfrMx+jDtKfeBqbehu+dehjWD+Zf OQ/WM+OF+hfGG+OJ8QtTHwVTHwUzv8LUR8HUR2nrVbAH1tbPcN7K/C/5k/rx S30YzHk666nU5+hZW3+i/X/sX6V+jnxGff/a+hnuC9Dn/Bd9yVfUt+c+Suqt 9PdX6HNejL6cH+vbSz65nrnv4nvg+4RZv2Bt/Q7xH0w8B0v+vZ618RnzO/YT T/G+49uVmtVjU46sx6zXMPEU39OeA+uOnglQ4y3a8z11T7m1ztZEzW/h/FHu A/TM+qy9D4EZX+zH2T8iZ/8Is3+E2T/C7B9h9o8w+0eY/SPM/hFm/wizf4Sv lkrduthIjSfW3vWqWaemGj+scfJ4UM87QeKB2YnXjJeYxiva+uB/V70Tz1vb 39dfDoy5vDhH6Tlu3dvKoSESP/D/T9j3q27/qxpfe5b9ea3rxXwlMH3yZ5ZB Ccq+QEPzvI4xSkGs7Zhr20J0vRzfjm3vmaccDirt8bPR+/nRJ+9ObNpSZUGX ukM6zkhSDPoedc3/8fBfrp9a5LJu7Yb4JGXUkgHj+7l5Kl3edSpzPjVJif6x 7EHj52q9wZ/VV724lnz8bMNkJW/p4hHTa6r1Bn9WbxUyulvLooIkZcet6Vu7 HA1Slox/mfFF7vt5836VQtcwtf2f1WPdHN7s/unlScrVOltuDzJ+pDydX8qh hXmSErS18KeKQX+9Xovxc6LCBtf4HdFKpbmGzmdmJira+oU/q+cqatay1Vnb OOX+iQZJbuZ/vb6rpHquv1qf1cWl2KvA0EPmI+tHPsM3ZQfpWp97dSXTJk8p U7aJ+csaEbq8tAZJTYfkK4MS3vSfE+sv8fLl0itvbX0WIfuPcft723l3T5T5 mniT+Uhb31Xk6bo8/JA6n2vrvdAPy1bK22V6fVD/hby8e1Uj62qBH9SDjTxU ppLl5X9YHz6yPoz4xS3TvtKa3R9fL6atByup/it0T8A3FVbdlvWD9Wera1KN AZVyZX+yOXPv8f6d85Xmt68OOHzZUzf1h10T+hbkKPNWdCnV91SC8r3BZAuD oMu6hlnLpn56OFGpXdH6dGbNX3V2cV9vsBmbqBxz1lW76+Wu6zJ51uNSfVLk /dR50u9uVLj6vmo8HD/Cfdv7/cnCnZubBJ1QLnRwjiy4kajs2G813GfQY6XL QcN207YnKgtrzNM5tIj86Pq0yfuNthaYPlH2tvRq65GcqLhHzu0wxfeQzrDK Wb/l1jlKuTC73jUW39HV69t07sptucrQwHdPmzmq57n3s+IWGjxIFHu19Wu8 P8knaNRxw67ZsdJ+8I5uYQuN44R/sT9oYtFaXT9XFK+s28wrXnhx6ylrfuj3 D/stTf3bH57TRm/0T5T4ucf8vYvNKv/D/k5THxd+quumOaaJSp1fG/jfsjwt +60vO09qPaTveZ1dhzGX3dLV/Zj5F/tnP2yonn8s2zC8ed57btLbYb/VzrtK j12XB7x7v14aJHgke/R4oGxablA5pEyCnF8MjegyrM3leKXS42qOLkvilBb9 zHa6Tny/fu58Udu0KE7il4AVAQdMWqv5Szw/bb1mWaucvbU8TsrzaTw8Ypnb 524fjHfqF4mH6W/T4UpZpnOuqe2P1LKfdfWG8Ktt9X5x2XJXeM02p+Flku4o /2x9HPEy///G0GbHF1UPkP7MLU7kfXo9UPjK2gZufxSGCP+4NvKnBY1VJt6m v/rTD7dt3jVc5NbTk62WfhohXND7VHHrZtHCV3vPjYoeHiXM/pb+vvF3b+CR +FTk64b5tnsyLFX4Ufe26z3HpQt7XK+81DE7TbhaqVWr7JOTZD+8ta/15qZn kpQb+69XupR9Tva//L+yJxf6znv9TPSbmDhG756ZIbyk3vOOCxdlCY/eH9po 8Ccqsz+mP6v+B75yrJAj8qllT90+2lPl8m+fLNjVL1d9390DUuyNVGY/TX8u ZgaO82rkifxsQZV6Pw1ReWxGH5/5w/OFB5l07DGhnsrsv+kvp8mM1EGNC0Ru kLR00URrld2j3OoPmVgovK/enl3mLVRmv05/Pavf69nU9LnILUMi7naxUfm5 b8UlzWa/EE6p+CqtaieV2d/T37ZSJk7FX74U+UHv7sbV56s84Or8+wZLi9Tv 99WkXpk9VeY8gP6ic7c/i+z3SuQZ51yWZi1XeffvwQ2j7V8Lr027uefeEJU5 P6A/k/j83peHvxF590Nl/O6vUzlpn7mtx+a3wqERzTKPWKvMeQP9rQwas2/n xHci37RjduOjO1XuuMH5gePeYuGm9zb2tbdR+WPrXwsNl/SpWeX9/Ol6+64y 1vuj62FdmpZZ/3V+kpyHlH7zZGI5ryTF2696wbqMj6+Xtapw5VHRlCQ5H+k9 NHWVzj1JCTNr9omZZ4hSbLxtxIomSYpLXpvjs7r/++trA0f6DnIdlqhcHDfF xrJ/lHLJqvzBHa4JSnCvGcf7hcQozQrn7e46KEHZNK3C+IHVYz+6HrdKWac8 wx5xcp5Rfv36ha0/j1UWVKpcx2lyopLR4P7cGk6xyszya2qvqPJ3/e7f9bv/ c/3uX63X/VfX3/rX8ryyrNUM3csU89Ity+UoZo5FC2+NeKhz8fvF9vSCPGXf SvdJwZ0CdNFWAQ+mNctTWryIWbItO1HuPzjPsq0e8mP7V+Ef1O86NzM5Yzbz iZzvnby3ybXlrL1yPkX7xXaVVuc0Ue8LfazNjF6fy1NSMkK8V0x4KOdb7wLv jqpilKzMzV0a6mvqrdzd7RJzuUaysvyM80nvjQ+U3qaO7dzqxis/9L6W4jUm Xvni5jm/Q73P6b7fs7xnxNEcZdM222fDgh7pCg42uPbaMF9ZucfGbKT/fV3L RrrDkyNzlW4Veuyt1vim7tmFxnMDe6vnW8TvnLfAnLfAnLfA6BNfow+jr63X hYmvYc7H2H9yPgZzPgZzPgZzPgZzPgZzPgZzPgZzPgZzPgZzPgZjL/tj7IWx F8ZeGHth7IWxF8ZeGHth7IWxF8Ze9uvYC2MvjL0w9sLYC2MvjL0w9sLYC2Mv jL2cF2AvjL0w9sLYC2MvjL0w9sLYC2MvjL0w9jJ/YC+MvTD2wtgLYy+MvTD2 wtgLYy+Mvdr8FM5bsB/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeznfAj7YeyH sR/Gfhj7YeyHsR/Gfhj7YeyHsR/GftYP7IexH8Z+GPth7IexH8Z+GPth7Iex H8Z+7e9zavNZtOftMO0ln0Ufn5FPjz6MPow+jD759+jD6MPow+hTj4A+jD6M Psx5jNRn6c+3tOetnM9wniC/F0p9pP48gP0/cvbvcr6l33/D7J9h9r8w+1eY /SfM/hFm/wfzvrX2sr+C2R/B2nwd9hPE39r8Ds6red7aekjiDVh7H46c8cTz Zzxp7dfGF8gZXzDjC2Z8wYwvmPEFM75gxhfM+NLaJ7/3q2fma/zVjj/uC3i+ jEfuR7nP5P6e80vq+7T5K9rfy0Sf+1HuT+mP54992t9rkXxqfX/Eu+KfJt+G /hkvnB/wPmHs5/dI6Y/9NN8DjL38fif7Tb4/mPmJ/R3fEyz1l/r9l9Rf6hk5 +ynkMHLqKfGfekqYekqYekqYekqYekqYekqYekqYekqYekqYekqYekqYekqY ekqYekqYekqYekqYekqYekqYekqY98/v0/L+iQ/4nskXg5mfyE/h91jRZ76C GW98j8hh5MzfyGHkzOfIYeTM73Jeo2fkzPfIYeTM/8hh5KwHyGHkrA/IYeSs F3I+pGfkrB/IYfGP3xPWzwfk+zAfkJ+hzfdgfDKfSL2Fvj/y92A3nW+ZCZfy RZ96C/Sl/kLf3sB2S9PdY1SeYGLZz7+oQPSpv0Bf6jH4feAEoxnlDqhc5ZeH DkpPtR6DeEHyCzW/Zyv1hnqWekM9S72hnolf5PcU9PGD1PPrmfFBfh3tWb9p D9Oe/DHmT94n86f294zJvyF+4v2Q38X7Yb3n+cP4x/Mhvwx7yBekP94v/rC/ ZT5lPiCewB6+L+xBn3gAff4fcvajyHk+rBf4g/8w9vJ90R/zD88fxl/mK5j1 mP/H82L8aPsnHoP53rCf/rT133/nO/21fKf/2+vf/935UyXVx5eUX1VSfpQ2 /6mk/KaS8pdKyj/6s/yif7b+/mPzfUqq19fmA/2r6/eZP4hntfkJJeUfafON tPlF2nwibf6QNh+o/ribnfJnqOfx2npvbX6Vtj60pHwf7e8DaPN/Pvb3ArT5 QiXlb/yfzicqqR5eW0/7sflC/1X5QdTv/mfzg6j//W+fH/SRvwfxr87/+Tuf 5+98nr/zef7fzefR5ueUlG/zsfkzH5vf8rH5Kn//Xsvfv9fy9++1/Nf9Xgvx htznlJB/89/t91RKygf6d+fzaPPvtb9fU1K+j/y+2okJV9cWLtFpf99Kmw/0 HxVaPUc= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdsllUUx89tC91S+pa2tEApXdDSUlqgFAFxK+4CRStDK1SpCsVdHODC +kH9oMa9947zqxr3whkljjgSRzQajUajcf1Pzq9J3+SXe5/7nOc+5/zPued5 a/u39GzOMv2SWbaGQ8VCMUvcKH4Qq8Thols0i0IxXuSKo8QiMZtr38v3WS16 RR62iXt7iHxRIKrEJFEuKkSpyIhjRZ8oYq2Y5zKME8R6sU6U8PxEbH3fcbzz BNEvynimAN9XiB6RI9rFUlEnThQDolJ0iHrRKE4Wg2KK2F/sKVrFGWKJaBNn sY/vd6mYz7PbxLBoEHNELfv24otrthktpuF3Ib4OiWpRQ06a0bAbvbPRdTwx Z7Hf6HUBWreQz0TcuTw7T3QSez7autYziKNujO6l6J1By2LWJkI5uRwm7nqu Pa7J2FZgV05cVehdzT3XYSr2g8Rdjd5taDeETlVo346/tWhcT84r8PVg8jKX WBuw30meutBlFvplobPrc4Q4BP2y0dxrZjH5r4U29tyLHNejXSfre1vUk+uy r1jGvQK0dI0PIB917LGYvUfwsREfF47xsXuMX4vwrRW9/Nk+9i/ExyX4s49F fc5Ej1rWO4ihHt1Hz+U8/Haf/UxttDgjS9HXfT6QfX3PgyzOSSv3l2PjPu6H ny1o6zF5j/Dz4HV5nliJjcd35Bjde4g3l3ke4wrmK5nn4Iv7tIC1Vdi4foeh 33J0r0Mj98F7ziX47TWzXRxn0We8L61l7v3tGOyL0LoQvfuwcdaxtobn3fZ8 cTT+7BAbLHpUL/sWce11nMF2Nfb95KASv9aPec96nstwXUb++rHfwLNl2B7P fC1xlmA3wHOr8DWPNe+P3gNPYu62F3JdydombBw/w15Hp1j00NE1n0+3qNPT LWrzNO75+kU84/ZbLc689wKvWT9Lfha2WPSLaYx+7b2jiuvJvHuINX/nqew/ yPtquL+Vfa4Xr1nUqJ+VMy36i58R72t+LkaYNzFuY34uc7ddxnUDe3lN56D3 DjT32rnAItcb0XH0TJ1tUXub0MJ16GTfBnTw3uVnrYt5I+NO1ofx1dcvZ96E JgPsOcK9LrS5GH2mqyFOE+dofrP4CX9ztHYFWn0oPsLPZq0/aXHWnhGzU8yb ND6Ov92aP2rRS2o1f9ii39wt/iLWe8U/+NIlm5eIOaP5AxZ98SrXLIWfrt8a NPxcfGFxthfo/nUaLxNXs5fvM1fj2+gzP4Wd29wp/iAPj+Cf+9agcU4K3Z4i To/rCWKbT6y7ib1e88YUdfAYMXu8t4vfyH+x1vJT1F+LxlcsetX74j6LnvmB eM6ij86UzcsWdT9D8xctevSzbpsiZ1eK8Snq2fOTUuSoTOPzFt8Sz2cNOf1Y fGLRf99BU9fTtbkWfbJk+6/Fucr1/4YpzslutPB4nxavUj/zdL89Rf29J961 6L+7xDXUntt2prB/Q7xu8Z24n/g99rfEQxZ9eYpsp6Y4D7eKXyx6lWs2K4Vu /s4O3vuV+NLiv+rX4huL78d34luL/6rfixssvhV/irss+teP4iaLXvuruM2i v/4u7rDonT+LW6i5z8SnFv+XJ+j9JSl62X8iL0Uvcs3GoZvnvJC8/y3usehx rrH/AXGdH7Soda/zghR59ZyWaj4xxf/NCo2VKXpTlcbJKf57+jfHvy/ewz3n b5L3Nt1/weKb5rUzKUX9eE3Vpagrr/Fd5Oh/YKfgJg== "]], Polygon[CompressedData[" 1:eJwt1FVsVUEQgOE5TYEEh+BQWpwWWqC0uBQv7sFTNEAKNDjBigUC5QF3d9fg GggPWAIECe7u7oF/MvPwZffcvXvO7szsFumZ0mZQiIh0RiiyByJZEUN/KO5g BqqgGW4ghvEptBUwT8d4nk5bCt9xDBPRB7+xAQORjGs4hSZojMvYj0pohF84 jknoj8y8OwuG0I/AZuTiuQZtOQj9fzRhSMFGXEUiorEDC1APcZiFbIHtrToO YBHqoxpmIp7xaf5ckX4cptKvjEz0MyJcbE3vcBjj0Qk3cddjFel7vYiGvucc zJ1NWxPDkI7nUBSmP9j3/gcDPAb5GZtDWwsjPNb7fC0a8784gcke4/SMZwjs XbrGc75n3WsDzMcVj3Vpz9VP9POcPfcY6N5b4wg+oztSPZZzkeAxjeZblzw3 uoaHSENVtMBRfENvTPBYfUBXj1nA/JDAcqcxOIhXaIexOIS36IhxuIdH/u4o PMELX2tZfPFv6rd6YDFeoq2/c6HnXPenOV4vVqPJHvNPWOVzk1CQtUVglFi9 L8UbdPA1aX+Z515/Cwtsjv53JJbjPbr4nlf6N5I8pmvxA309B1obeZk/XKxG dmueeK5DG4/XHhONRXux2igU2Le0RvLRz4PyYu94jFtoipbYizKM1xU7c6vx Fb08R7rWFejma9axNWJnWf+zC8WZP5p2jK99ndhZ1T0885xoLlqhGP/dThsr tocz/g6dm4CPYjWW6t/UuydnYGdD76CTOC9Wu4meyyW+d82p1tpT/5bWXEnm lgjsLtI1nhWrKa0lPeN6l91Hc7E77QI2id0VeqdsQ1Hm1/Y1b8VOsbtDz3A4 Y9e9FrQmYjXXgZ0lvSM09gUCO6uag9Nid57edXpn3ha7IyI9J5H8d4/nVnOS m+ctYnebruGBWM1H+Zr/A1fwp2A= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHe0VsUVxd+MaSakaEyvpndLZCUGTaKJoCgKSEdAeBSRREIoFqoIgoIU kRKKgIooRXoHKQ9BEaRFIfo0MaQSk5AeTXP/cvZd8/7Ya98795s7Z5+ZOXvu d3aP/q1vyjU1NQdTTc1p4n+JP6mGn4vXCLuFOuFdamsi/pZwpq4vEn9beLuu GwkX6/q94r+Jnxfer+u/i+uFD+r6H+IXhQ/r+p/il4SP6vpV8U+Fj+v6NfHP hE/kiONl4VO6/neKeD6j6/+ITwif0/V/xb8QvqDr/4l/KXxJ178W/0p4QbhU aCm08vV3hNbm7wrXmi8T2pibCm3NzYR25suF9uYrhA7m5kJH85VCJ/NVQmdz C+E689XC+YrzPOE3uj43R4xdhTHCQGGQ0K1B7N0dN/HWOlZi7OE27nu6jXh7 O1Zi7OU27vu4jXjHepzBwg1uI/bvC10cz01mYulvvl74gZm4brRO9A1wWw8/ b+W4f+i2Wo/Z03ENNhPvEDMx3mwmrlvMfYVbzYz5O6GfMFQY5uvvCcPN6Bhh RsdIMzpGmdEx2nET4x3mgUatY73TsRLjU8JGYZOwSlggLBTGO27ivctMvL8X bhPuFib4mpgnNoj9HjOxTzIT+2QzsU8xE/tU8+3CvWZ0TDOj4z4za2q6mTmf YUbTTPM4YZYZHT8yo+MPjn22MKeBjrlmdMwzo+N+Mzrmmyc7T5OtY6EZHQ+Y 0fGgGR0PmdGxyIyOh83oWGxGxyNmdDxqRscfHfsSYYXjI66lDTQttx50LHPb XOdjiOd1pfuhY7U1EPsaM7GvNRP7OjOxrzcT+wYzsT/mMYlpo9vQscmMjlOO fbOwzfER71Zr4P5xt/G+HdZJvNvdxv1Ot7Fmf5tij7NPdrkNTU86PmLZ4nEZ Y7d1ou8JM/r2mNG310z/Or+PPuxX6go14k/WsS/FmmX/DUhlb7NnnrFONB00 owMP+qb4G8Iht6H1gHNBn8NuQ2tV06mPxxwrMR43o/UnZvb0jx03Wo/4HeQG v8P38L/nrJ934Xt4IF6IF+E/1Hr8DU/DP/BAfA+Pwd/wNPyjqmusKzwQ38Nj 8MmXHDseiO/hMXggvofH4HX4G16Cp1Fj8YnK21ql4m3c45n4JJ70lxT+TL9n rRU9R621LhX/a5OKt1VeB7dPxec6+rfUyNpUPK9TKn7Zzujl3+F7eF4Xx4gv dLcG/KWrx671s8obBqfio509Nnnsk4pnDPGYvT0e/annA9wH32CtMTa+wPo/ mWI/9EvF83jGWabeee3gMXhvVcvmW2dfx1H5Yn/HPtBjo3mQ76vzRNtU/G+Q 9Q9w/8priWO154S5eSWF5+Ef1Cf2/dJUvG1EKv43zO9ij41yH2r13an438hU PHK4xx/tPpUXjnaMeMRY53ec78n3eN9XnjfeOse4f+VtE61zrJ9VnjE3FR+a kYq3TUnF/yal4m14w/4UtWlrKv43NRWPnJyK/01Lxf/uS8XnZqbic7OcF3I6 OxVvm5OKX05PxZvRU/n3hFQ8b14qnnd/Kn5W+Ru8MBVvezAVP6v8bZGfVd7G s37O49BUfG6xx6O2L/d4K3zP+Ct9zzpd5Xu0sV6WOI7VflZ52OpUPGxNKh62 NhUPW+ex8YcNfhdzsTkV39qYiscvSMXz1qfizY84lq3ujwbq/DZr2O57NOzw PRp2+v5pj7nFGnb52TK/g/dSB9mT3Tyfy/18sWrPwzm+M2p8BqceUFP5duB8 Tl2kPuIJb/XvqBHUUWo9dY56Ty2mJlGbqbPURX5X4/pWeRiedo7avux34QPU d2oqNZ763tw6D7kPOg/7Hm1HfF/nuI4613gXHkYdf85x40/HfN/C2tBF/Ug5 1tRm53FfKv69x7k86vE2+N17nVd0HHDe97v/VrdxT33Dy6j9eP2bcozDGewN Odbgm3P4EB7EN9pffY0vUXOpt392f2J7Y47+rLVrdN0iR7/qLPL/s4na1gqf zVGz8V088DHdrxA+LawSVub4jlwmLM3xfUmMp5wPYuS8O9t5eotzhZ+/an34 Mx7f1Fpfs176nZajlnDmzznq7ilrIH7OAng8/n6b52Oo+9GHvqfnqPU87+f1 RF1/W46Y6ENcJ/18CznO8R1MHC97XbEWWa+s1bP8nX5JivV+ntfnK34v7+Qb vpG/7d+R49v+YufyAzlip+2dfg/nonf7bNTIv7/E12f5bHRGjnMbv2HO35PL PL/Pc8XzM3y2IzcfypFj4uOc0NX5/kiOeWCvMJ8nnPuzvZ+Yn4/lmBPiOtMx sEe/mGMPsJfP8R6s8X4kH+zpz+fY043FX/UZhT3NmiKP6P6KNbJXTzjHFzkX TdyX3F6T4h2s05Ze46z7S1PZ88291uu9Vqs9QFt1TmUPV+fU46nUnRZeX6d7 jTX1Gm3md73oNXaZ1yvP6/Xb3jn63SoMdt5fEHp6bY0RRnn+RvBuz/FJ5461 eIHzg8YLxXc4J008l5zPrxIP8lrht439e3JzfoPrxs7z80L3HHni9xc4d+e6 PzncKN6UY54413Jmor43031zv/M68aEcteN28de9BjqJD3if3ykel2MtdhD2 5agv6B5t7dOFGTnWYhtht/fnLnGd180k4Z4c/3VNEabm2CfthL056kEX8ZEc 9exr4lu8F1qKe3jt3SUen+P/s+udC/IwTXxvjv/PnhB6ee525uhPX7R2tl5i vNZxMn5bx4C+9tZIDjo6D88yVzn25THx5Z7n4+IrctSGZ8R9c9Sv9cK6HP+9 HRZuzFE7nxZuyFE7+1sD8ZP74c7/k+I+Oepcrdcc662rcDTHvqq+J6npzOfV nlPW4DCvw0eFJTn+o3xAWJjjv8OHhEU5agF/aF7oNTlQfGWOejZbmJOjjgwR RuaoOeS13rmdLyzIUUfmCXNz/E85NMf8MXfbxI/nqCk7hO05/necIEzMUdda 5cgp+WydI6fkkzw95VyRjz3OySxhZo7/R9mXN+fYm91yzBNzRL4POufMyX7P y+siueUL "]], Polygon[CompressedData[" 1:eJwtlGWIlUEUhu891qqoiLp2d60giz/UVdcWC1ddE8VV/KPuWhgYYHd3d3d3 oyiKYiDYHYjdrc/LmR8P77xz534zc86ZUzwlLSnVIpFIMqSHmpiZkB++RiOR FPQmVIWX+OZoGnxmfAeOMj4JleA5vhvaCzKFNY3RvpAFXuH7o80gB2SDwTAI avFbTrQaDIDskMDcDHQOFIB7+CHoUPO1tfGT0emQD+7il6OroRg8xPdAe0MM RGE4DAv/zYWOhlFQB58bHQNjzceJzI1AR5qv1Zoa6BTIC1/wU83PoL01Vx3G Qx74xFxT8ztnC3caB5MgFm7z+0Z0K5SCx/ieaB/IDAYH4AhUgGf8vgbdACXg EX43uh/KwVP8InQZFIEH+LnoQigE9/Hb0F1QBp7gJ4Qz6Sw686Gwp/Yqj56D NvAGnw49bp5z5boiutI85op1UcUVVpiPfzDXAD1mvvZf1GupEbSMek3d0ti8 luLRgdAF4kKNXIfUkIu4UEs3oEqoqXXmMVEsiquOYDEUhu/MJaDzoCB8w883 j4liobl6sAfKwh/mEtFNUBJ+4eujB81j8Re/1zzmirX+0xrOhlwpRpvNc6pc 6hs7zGOuWJdGl5jnSLnRGVuEGMSHmNRFt5uv/Y2vg641v9vPqNdyK/O3FBNi cRoqh5i0hfPmuXrLmn3md9DZVSOHzXOiXKim+kF387eRFSaa17hqOzbUYhK8 jnpNXoDk8O306DXoDB/wH+EK447wnnFG9BK0h3f4DOjOEHPFWjW4xfzOuqve wHrzHCj2qvHZ5jlU7tQDOsBl829pj07oVfO9dIZ26EXzs2lP9aKu5m9RPekM nDLvZYrZCWgIL6Lew5aa17BqV29omnlPVC9Uj1kQaky1pTe1yjxHyo16zizz nqVepR7aJMQ4a4jhf3bhqsE= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHncz1UafXmebC/S22jGMpbemiyFJkWLMMmkKExNRY3JoClF2otIC20K RYv2EVOWYkiNmGRithoz7dPHzptsEUK2zplzfp/XH+fzPPd77/d+733uOc9z f7/GfQf3HFSxqKhoWYWiooB9PYuKGgKXobEYWAK0BE4GVmDg18Ad8FfCbgRG wF8FuwkYCX817GbgXvhrYLcAt8PvAZwG3A+sxbOtwIPw18NuA8bA/wr2W+BG +N2AnwPXAm2BNsDNwEXAKcCtQHfgVGA0sA7vfQO0hr8Tdi9QDX4CRwCVuDmg ArAPfbuA74D9truBYegbCuyBf3pojoPAIc/3fUXNQcs5CnNxjoohewA4M/Re +PuFObiOQ57jYaAM/nZgPPxxoTnOCr1XBaga5XPwmzu97sfQ3gC7wzHkvrn/ 4sP2eqTfZwxq2bK/A9AeqA6cDdQAjgIaAHWAukDNw75f4jF8drQt5/6RLed+ zX0/Bp4HrgTOAaYCU4D6QEPPXQ/4A/BLoDPwC3+/NvAi8Bugk8+UHCFXJsKf AFQG+gBdgBbATGAG0Aj4GdAYOBY4wbYUmA3MAo4D2nlfNdzXwOtqBhzvOZrb co43gblAkxDnyf0V5jn5vsr8pw6oB37zp56XPCf3qQFqaLHnpi6oD+qEHCD3 qYHL4Xd0POd6LNfAs6YmqA1qgtwnD6gDcp98oA6oLfKYOqNWyOeBsP1C+tlp /u41h/a5XdAA2+T+fmthrzl70EhzscD7oijnPdtnhPwDh3G9wFuOLfC+kjna 0Ryq5Xmr+mz4TjW3Oa7Y7Qn2K3lcTZ9jVfOwZpRzne329os9rsQ8K/C4JMp5 zPa5Ic5SA5PNR44nt4/x+GdCHOf4cV5LBY8v8TjmMWqa2r4Ofv8Q1+uYF+RH XfOO7Sn267mPHGrsvlK3Z9hv6D7y8/go5zrbs+yXuo+cbhrlnGabumkFnOS+ FvYX2+eYpSG+ngcMBgaFcj813clr7+pn1APrRDvHmBwjP8mvnqFcXOAbufqd +Uau7jbPyNU9tm3tD4G92u2LQ7mYHPxViGfk2K9DeZbcuTSUN8kL5o/Ojmev UI7jOVY3J8iHq0J6Y/vCUJ3h2if5jMmJK0K5qbZj09Tx6ezzZE7rC/zWcV3k mDX3+C6O7fDQurnmen6f774EPBfiXZlzwXrr95pQPBiz7o7bANgLfH5nOi4H Hcsejuf1sL/z+fwVON9rYfx6+ixae8/cL2N5SUi3HRyX9gbjU8sx6OUYUrO9 HZ9zzAnygTXooVAdYrwvMx86+Ty473cdrz5eVx+vrY+fd/F59zMHunov5Fk7 n3EVx3uA49DF7VY+k/6OLTU7LaRHnm0375ecGujv8F4xxD77bwpx98/AXV7D Gt9jVvtuMNznSF3cACyH/3aozXUOsr/cOfm20PkU+lg7OPcwz//7UI7g2llf 7gxpirn9Fp//St+3+O4e5+jd1hnH7XLtZ71ca/tAqHZy7feF6g1r1j2husVn 7NvimFxvzlBD1FV47Ei/yxp3d6jO0Y7wPKs9L+vgqFDN2+p6Rk5wXVzLaHPj IXNlm+s6x685rI6u9LNRXhs5/L758khII8ytzHWs66zLj4ZyLmvkGLc5ZoPv SaybY0M+70tPhu4Tld3Hd8o8dqznoR6Y35nbK9nneGrl8VA/2xPcz/meCuWY +aFvFPon+jnnGO/nxe6r7vnGe853gD+GOPxKqK6Qw9NDeekntpPsP2ufeuzt Nn1qktqr5zbfKdQ45pyCdl+Ico2+HMpNk/1t5j3WG9anRl7TFM/J3PB0KB9w vVPdX+L3j/LYqX53IfCn0B2Me33CcWD/qx5DzPA3S+0fZzvT/uv2OZZ3JN7P TvT+GCPW5gUe18hj3/C7xCzPzbXM9jPaOSEu/QWYZ3+e56e/yN/jt07wPE2M uX5GbpKj5DZj/ZrjwXffC9UG5jbmF+qYMZjvOPT32dd3PBZ4/dM8D/fFXMhc c7L3tNDrn+N1F9bC7zU3WNeb2VJLLWzZbun9veV9ve++ll7vIj/nvYV8IaeY n5iLNjoPMY8d8P1xqP2P8NtxVYi3zeE3Te19OWzV1Nkshn0vdd9vAnt66ruf wX6ROsu2sGu9hoA/J1WL5sG+neL9ibBnpPLtf2E/TsVsE9Ajlfv/CbsyxOd/ wP9Xit/85nrv9+/w/5b6XfI57GrHvA38NSGtLYNfOcV37meJY/wWnm1MjVkC uzSlpbNgv07l+I6wHVI150tge0qv64AdqRq2CrY4xU3OvdRr42/xGf49fizs m6m7yXzYd1J6rgP7TeqesSkVO8btXdhFKZ0vhF2Q+n1WAXZWquavg92c4sG5 XHOoJmyFvyVVt7m/Nt7j0bBlobtIGfzuqfw8m2tP5YXefDd013gE/gOp3M+x tTx+HOyYlGYmwo5P5e7bYW9O1Z9KsKel9NEN9sJUzmH8GjuG3EeR91IztR/u pRrsipRWNlI3Kf1Ngn0yletHw96bqlF3wd6Rqo33wA5P1aEqsP9J6XIf9ZjK 9buBySkd90xxjnybCf9g6B40Df7+0P2lJBUv7v3TFF/J1S9TvJ9uLjQzH86H vSB1RzsVttTn/hnwTKqWPQu7PXS/OyV1rozDhymuk+evwO4J1XZqqKJ1dBPs 4FQ9v448Tem7FWzt1H3gyJSGyfcXYXeG7p7b4NdL1UPq43/mRmfYI8z5LzyO Yz4gl1N3mytgj0ndQfvCXpX6L4fxvtsx/wQYm6rjn8N/wdw+D7ZL6u71bWj/ 3PsOx4ux6ke+pO5ezEMfpHJRH8Y1da+6lHpK3fk+BAamctrVsANS/1c9xz2l 7s2bfcY8316wl6f+i7qY60r9X7XVvCfn18LWSNWQXY4d40aNcj/cy1z4jVJ3 6ymw9VN3r5dg66bu9w/CfhS6O/1fQ9bR46kYMT7T4TdI3Y+poSesI2rrMevr UdiPQ7WJ53ytz5rcv9/875o6M57XXvOGnGHubJ3Kn0/Bfhq6I91HDofue6/C /z5076G2nra+RlA7obvcSfBbpOrYRak8SP1yXQ+n1lYddnWqpnHukan5l8G/ LXUXZW64NZUfGJtRqfgwfi87hozHVMfkgHVIDTKuzzu2XNew1NpuSPGAHBjE +UL39H8DN6buujyrN3xeh6xzapwaGmIdMTdsSOUH5pKhqXxCvl9izt+Smpdz XpPSBnVxNvz2qd9+d6b2zP1+Rd6l7ork45XmJGvUJ6k6xTOZkDqXHwBrYp3s "]], Polygon[CompressedData[" 1:eJwtlWnQlmMYhr95r8ueXWKMH9kZa4khpU2LNkpaSPraKEqhDCGGbFEqKVQU qhE1RekTJVKUbSxDkiWmJJJk345zzvvH8d7n9TzPey/XdtetHtJpcKWqqup+ SDiKn/dgdlRVLYUm6LWMQ2EgNMRuAVejB8AP6M2M1bAcvoNmPBtU3p+LbgRn oq8Mz6U5BpQ510Dj9LsL4XD0HHgY/RJsgnXQHXrDy7xbz9gTpsEx2F/CQvQr cDx6J6xCt4Zd0M3hKvQVWgN9EQxD14MV6M8ZL4PH4WLsHnAduj70T+9Re7sB OmOvZmwfnkNn3cLYN3zm07EbwKXo2mGnbip7bxL21TdwefHZt7z/Me27XnAs eiMsRi+DE9D7Q//yH/n+JOgTjoHOtiv0C5+xDnow3IyuUTzQR5T96PynoE+F dnpH4Ouh66f3VgtaoVvDNegh0EexSp/9DPkJXQ3D0Q3CsW2azg3F+Eh0y/Ra WrM7+k3GjmGf1sY+r8Rfe+iNfovxgvCcRyseME+xhjboE/Ws4j3NQv/BeA50 lf/gF56t1Nlgg96V9Vtpz+mcVi7LRz3lb8UJOsEInQ1uR29ljZHyHdyh3MYe jr4evq/4m2Hoa2FU+NlN6BvT/9V/lBtd9U3JkVHoW9Nzjdac8gt2h7KHbumc U67pP/JFX+wRxSeDlLtaA72FOYYqNmmtPWzV3uQj9IuwXzqnlEvnw8/ofdO1 sEI5g/6J8RYYCV9j75P+7yI4LZ1DNSWnT0YfBEvCOdcB3REuQTeFJ9M1q1qd WGJxQHptxaRfOoeUOzqTcqGXfFpyYjT6LrgbvY0z3Yu+J4vm2UPoSfCAzsKz 3xmfls9KDtypWCmmFc8xVt/qjNhjsO9Dj0nPpWcT0RNge8VzTkFPTs89Dnug elG6NuTz2ei/GCfDJPgb5qZzrxHcptxJx1Z7+JdxHnY3xsaq2XTNqFZ05s3q B+la05zbYWo6F8+S/+AJ9SjGhvAI+tH03nYw/0z0b8XX4+Ew7F8ZJ0CXcGwP 5VnnEmP1wuPStaGeuCHdM9Ur58Pe6RxQ7NVz/ixn1lnVgzeWHFLuKMd2Q78L s8J3xB7o9fBcuGZXqt5hJrol7IX+AhaEe3SN1k737uawDP1auve2COeaepB6 j3JudbqmVcuaczr2Dsazw2ecptgV38lnbbHbpX2hb7qoNsO9XjWX2IvlU/Rj MAO9s/haOfUs9j8ltorhfOz/Six7hHvxgdA23JMXoQOahfvd++kept41Jxwb xWx8idHb6HfgKfTB8GraBzr79PDdtjytdcfVTe9Ze1XNLUS3T9feFHhdtQdT lTfhWOyZjq1isjTtc/la33yVvmN0tzwfjk2ttFaMtoV7hHqD7hDdvQvSa+kO XqJeAYeEffgh+oP0WZ4J58bu6bMrR9ai16TvQp25gn4h7Uv5bB36M5gbnvMj 9MfpueqE7+Y3sGeE7+hV6RxTbunZp+hP0t9qjnHoB9O1rxr/H2g4LRQ= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe8VdURhS+8d+ZQfYB0LKAoSBEQRAz2AggWwALSpBmNRrFjR7F3jMYK ikIsGKMxGhNjYoxEgqgRjV2jKPbeqIKuz1n3J3+sN/ucPbvNnlkz575Ok6eN PLZ+pVLppz81kh8WlcqRwlThKGFFbaWyRpgalcr2ZaVytd41ESpCPeE+4ULh GGGBsEq63wu/V3u15DrhLrVXSq4V/qj2RcI04SHhEuF45tP830geK/xVuEw4 UXhYuFQ4QfiTcLFwnPA34XLhJOHvwhXCycJvhfOEo4XHhVOF6cJjwpXCKcJ1 wvnCr4WvfZbGQlOfqb6wkWWN0EyoFQqhzu94buNx2KO5+0No63fMt7FQCg2E Fu7neUdhkLC30N7rMfdKbC6cJmwhtPY6m3gfrNPBujy38zqM39T9rPOdx3YS Nvc+WgqbuZ/nLT03+93Kc7GXvYQdhAFCF6/H+lu7n+eenps9dnU/629jyTq/ sN62wulCR6G70M39P+0rcp4e1tvC+2oa+Y49bOe12Usf75XnXtbtLPR1P3vp Z8leerufMc0050bCGWpv7/5utgv309D30sP77mzbYJddvDZ72dnz9vH9DfC4 Xd3PXnazZC87ea+MmWfb7ins7n72MtDnR2+Q58N+i6x7gDDUa7OXfTwvz4Ot yxzD3M9e9rVkL0Pcz5jVwirhTGE/97OXuUX6M36z2H4wXFjic46wnbAX/vOC 93GwsNRrHCR8L6wVzhZe9L4PEQrZvla4Q+1Xvb/Rwsve9yjhde/pUKGJdBsL 64rkEHgIPrrNe20lvCcsFyYJjaQ7sUjuWia8LYwXjhAmC1OK5Ch4CD76qEi+ O7xIzpvisdigje0wWzhLGFMkp8Bn8BpcMt32gMPgJ3gBboOf4BG4Cm6DR+Aw +AzegOfgnUZF8hwcBnfAYfAT/AB/wqPwKfzUxPuCP4hf4hwOg3d/qP2Zs6oc 1tRj4Ga4tuL91Vmv9B228NrMV+W5ZtbDp/CtQZ6rre1CDBGf+DHxit/29Lzw Q5WT2nkMfAYfdfS8HazX2uM7eX14o8pzm1iP/W3mPuYiJrf0O2KXGH7Gexzp eeGGKp9t5TFtPG4Lz9vFevBPd++tyl9VPutqPfiAeBxgm23u9Zmvl8/PGr39 zLzwQJWr+rivp226o+ftaz3GD3Qf68MHVQ7rZ71OHt/DcxH3xDJ3QJzCEf/1 fR3oeYn9Km/t4jG9PG5g8TNP7eqz7e255hfJU3t4/d2tR74lx4bHD/F6cNR/ hP29BvG+j+9lhOdl/WHuq3ITz6s8nrFwzgE+C+vtZz3in/id4DOO9H3DPwd5 H/DMwV53qW3A3uCZUV4LbhntOWcUGdfjiuS34T47vAU/HSa8KcwpkgPgLfgE foGT4Br4YlaRuQ0f4hkeqfIN8pdFxh4xSFyeW2RdBZfNLJJT4BM4bKrnv6DI 2oS4vtk662uTJw+xDZkLniHuryqyXsCHieWTfEfE8ol+hx5cVOM+7rE04JwG 7jvB4+A2aqeG7pvu9p22z1jhep+ffEpdeKbv8UbhGtuXc5zvs9STzdYXmRfe 8h2Msz3OKZLbx3nceJ/7PJ/9piJru5m291U+Lzl9lu2PjS/awDYX+9xw5IW+ B8536Qa2uWwDm11u21CLXuA9Y5srbQNsdoVtFpHzMue1wm+KzBENInNTa9vg Wr/nTLN9rluKrEGxzb9txzM8xw3Wn+nzHm3gB+SeGbYv89VprSc89iyvx9jP hVvdrpFOfe+J9ed4D7cXmUdbWYc2+eiHIuec5zlme57fFckLexj072l93vcX mju348NlpI3Icyv9DcD9UgPc6Xtf7e8EctzdReqstS7Pa5xn/1mk/91TZP6u 5sUFnnuB+xh7b5FzYivu81HfG37xgP0CX7jf/oLuvZ4Tf3mwyDghp//Z/oL/ /sF+hL88Yn/Bj/5iP/p/kecaax/5R5G+A189VyRnYdeFvq95fq7y92Lbc6F9 ohpTTxYZVwutj53hWjizypWLfCfc4b98j095zuFen33AiXDd037/tJ9HWPcp zwm3wt3w9rNuj/TzEu93sOes6j7recgtcPAQY6l1qdM+KLLW+l+R3F3l6xes +0qRHDfK79CD3+G7F60LB1PbTfK7lzzPS36GH4d5nqGWr/j9eI/H98gt5ANy ATniNa9bfWaON6xzqCXPo637qtvc+Vuek3ghZ8z2uZ+3zSd63Ul+t9Tn4nm5 +znTu36HjahLpxrL/W657Uj7C+Edn+lL4X2Pfd86k9y/zDpHes5feZ0vrUMN /InffyV8vMH6H/k9/Z+6DVd9ViTnfmwd9Od4T6wFh8FBY3znX1nnCMV+/zJ5 qr65gZr2MLX3iPz2P0Syc5nj0D0yUn9fvtsi594ffo5cc7RklzL3eCDfkmWe 7ya1r4vkkeMkx0bmXmKozrUrdWwr17It/K1B3p8PX0bywq2SN0fyy3mSMyK5 mLF1/pZkXBOPhf+oIeAB6nxyCXmk9O8btKmH+c5vZZ1vizx7w8j8Qa1MzFMb kU/XeY0pfsf3G/HexPmUdcmta91eZD101ns8tdNkt5nnbPdNsE3gcbiFnMr6 1Jut/L1MbsVe2Ik6sVY27hPpww3UblRm/P2gd70jff5byRWRvPCd5LaR/FAj 3aLM2F7NniP5ab1kpcz4+FLtnpEcNVRycqQ9uqp/mzL97yq9WxaZe96W3CZy /+9KLo/kzYbS3S6SH+p8Fs6xRrJXJKdtKZ2DI+OGmq65vyHx72a+X+zQ0n6y 3nZfZx9oZvu0tC/RruaPGtuspX/LQG7s9kDJId5zY/tfdf0WG/hSc7e5D8Z2 tGzptQZLvhFZE1EDrvAdzvedkmeuVX/ryBqrfpm2xs7rIu8A+38j+UVkTijL vCfuaHvOVSbXNSnzvrlr7r9emT6ALVfanj0kP4zMI90lT4v0Ye4hyrwL7vYz 3y9+8bV9A9/53v7Db41TInNgc7WblsnjHSTblMnFfSV3jKyJFkjubg7pL9m+ TN7GNoNsn9ck94q000GsHxkHraXbokxefyfS5/C30yN/92QPqyJ9Gn/+XPLj yHx5jeTOkTXsR5LvRebnPSVfjczHl0iOi6xlifEVjv2+cE6ZuWmA2jtF8kYL +wH+AEdSR1Fnkmuon6ocU8/7Rwc+beT7b2gOWW8d/Ade4T3rzvUzberciu02 xTFAzoGXyg3Wpw13HeNn2t95HmrdXjrHDpE1LN9K7HOc91Xjvd0jOSFyzTcl J0XW8f00dkwkP/cjpsrMxd0lNy2ztmqv9/Mi67q5npfc0U7ylsj6rY3ktMi6 kVqIdec6jmrj5zxc671hQ36rwubwx0DHY1vJGyPrSWLiK8cF99OtTP1n1X4m 8rdn/LGdfXKjMu+VO8WnWtqvHscXIuvFtmXGFTFFjrohMk/dIXlnZK1JzpkT mXc2LtMu2ORe+iPr1yslr4is5e+XvC/y9/XbIu2CTXrD1cKaIn3wRPsh+XaB 7/1iyf0i65cL8anIb67ZkbbADltzJ5E5nxia6Dg6XvKyyG+VhZJPRP5+v0tk bBAXV0vOivyGuDQyHthDB8mZXusFyecjf6d/UnJRZJ19feS9cqcvSr4U+T1A fr49MkfjIwdE+sm39l38raPej4ysg56TXBpZl78i+XLk/wewzbBI+xwe6cc/ fctxJvvkI5wp8v8Vd0veFfl/j4ckH4z8vwR88GkkJzyKX0R+PzzMnUd+V8Bh deYxbNzBZ6emODeyrjhfctfIb8P3IzkU/jwnMgbw/70juQz7wzcfRHLORZLj I78vl+Czkd8/j3HuyP+lEH+nOAZPlZweWdONiORTuJRaiZjk7J9Ecjp8vlvk /tjbyZInRX7HEsevR8byCZE+xLkWs6/I/9XAtUdF8tUD2Czye+xHTCj/AQ== "]], Polygon[CompressedData[" 1:eJwtlnmwlmMYhz9N9/2OGDKWQZTTLssYfyhmZJvEoHTax1gmYynVQYvKVikd bZJooZqypEmU9pREJUmLJVkSZYtQluJ0wvWbnz+umev53ud93+d9nnv5yrpV lPeuUSqVKqEmDMlSaTAcZvBMlEqv4nVhBD4fluFnwGP4ItiIb4B++Ap4AL8D nsQnwzv4WuiLL4f6+Lq0j4LueCVMx3+BvvhpMAx/GmbhL0Av/BV4Dn8e5obX 2Ae/F/7BH+G3l/DT4VGtHT7Fm0At/C1ohj+hZ+KXw/f4d9AGXw898QYFv+H7 oJxxPcZf47ugN+PbYDw+AerhS2AhXgnX4Lf/f70KuuHncv/f2hvowfh8xtX4 Q7CS8ev6BnxxeK9fE+E9X4ovhnvC71iAz4e7w3OuxgfARHwtdMTr8/xvw99w EeMO6XfdBFfhO2ENfgGMwx/Xnob3pC73tmP8ML4TPsEb6x34argFP4c5B/GB 4bPfBCvDMdAZb8T1PfiPsI3xR3Af/iY0wj9O+1hoio+FmfiJ0AB/Lx1Lo6EM Xw1L8ZFwl+Kv8Fn8qjPVs6BPeM4ofGQ6Fp6Crfhm6I+/AQ3xLWkfE17b9vS3 aY2a+yGsCt+jWHwxHXuKycvwOTBcsaCYxF+GCnxeONbf1ZmGY165siJ9tsoZ xebc9FzFqGLzbL7nj3CMDmQ8SDEajsn302vWWrXHmntz+t2650zGXzIeh/8c jjXFuGJbMdeQcS/G+xXrcH8655Rrk+AQXgXl+BbtAd608LMUUwcZ/6UzDs9R 7LZgfEM4hhULOkOdnWLiBMbHQ2f8M50pflJh7wLNmXte4dxQjpyCn1z42hdw LH4MdMK36wyZ3xJ64EPCsdWF8U/hGOuPXwo9w2fSjOtnaU/CazzAtT+hXfgb 9uP74Hp8I/yA70nnflu4Fd+tGhU+g716V/raBu2x9i7tesaV+A7lED4onFvK SeWicqwaP5ze2/YQrK0mdFDswVH40bAt/M3D0zGu2J4Kv+G/p9eqbziCuTXg g/AzSvi/6Wfrt1qMj4SO4WcmXhR+l34rK1zjVNt26550TioXFfO1uX5c4b3X Gd7ItX7pWjwNHlQtSufWFKhQLUqfTRU1+MJ0D1DtVw1RLbw2HWs676n4s3CI uXMYT8anwOzwb9/gu9K1UmcwDZ+enlvN9UvwEem16MyHKtfTvUo9YH26hqh2 KAcXpmu0avMC5TPf1ia9tztUE9I1RrVlSbiWrIFl4Zqi2rs83etUg99O9zD1 Ls1pwvO6Mt4bjsmZ+Iz0WtWjlHuNC9dC5aBytXU6VpSzqtWd0rmpmv053ipd WxVT16XXrLWqR6rWzEv3YtUc9cbZ6V6nHqnesCj9reoRk/CJ6bPRHquXtU+f vXraqYzrFM69rvqNa1+le4N6wsX4BBgczsG2+HiYFc6x0fgV6d46A+5M90j1 Rv0H0Fz1FPUS3aNetyq91+p5Y9LP0L3qAf8BU1g8dg== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0bkygwEUBtA/CIIUKRQpFGqj5DXMeASjjvcgkdISRGyvYAtqnZYghNi3 2HdOhuLM982dW9yZ29430JsIBUHQTwfVHiZClBitxGmj0cJP8Lf4LWpkiJRe J8PU0kA9w+ZNspkIUVpIm2/RqW/ILxb4YJ5P1nlnjldmeWONF2Z4IsczeR6Z 5p4sD6xSYYpbJrljhRsmuCLDNctcMs45Y1ywxCajLDJCt/u7SOqnnHHMCWWG OKTEPgcUGWSXPbYpsMMRPf+/+AV4tz2M "]], Line[CompressedData[" 1:eJwt0Mk2gnEcx+HXDZQhyVSiZDqG6py4DStrF5BbKdMtGJOQdUIcoWPM5XgW LZ7z+b3f/+5Nbu9sFvuCINjimFfuiBhPdEhPdVgfdFrPNakVndGWzmlNM3ql 8/qki3qtC3qjfyy5b/WDTw7osGbPskqeHM/2OuvufX1nxZ1mlhSXtkcK7j09 5IIN31U9440mP9yz7K2rvyTccaYYZ5IJdr2N6hhRYoxQtg/oICH6CVOyv9Cm wTdHfPX+7T82aSmf "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{315, 314, 318, 639, 630, 631, 629, 633, 632, 567, 635, 636, 634, 638, 637, 568, 641, 642, 640, 644, 643, 569, 622, 723, 606, 628, 588, 626, 587, 627, 566, 317, 316, 315}], Line[CompressedData[" 1:eJwl0tky1QEAwOE/b+I1SkSEZkgnITHlRIVKXXoAyVYhRLRYOiGVVqdNu+04 B9nr3n1P4Jtx8c38HuCXEq4PXU0KgiBCuShgl6PJQTDDVz7xhc9k84GPvCfK NFm85R2veMNrjvCSKSZ5wXMymeAZTxlnjAyeEGGYUUY4zGOGeMAjHpLOAIP0 cZ9+0ujlHnfpoZtDdNLFbTq4Qyrt3KKFNlo5yE2aaaSJGxxgnbPUUckO56gn n+NsU8AxctggTCHf+MF31rhGLpuc4DJV/OU818ljixBXuMA/qvnFSX5SxG8u MscpZilmnkssUsICpcSoIc5pligjQS0rnGGZclap4L9fFlgkxhJxEiyzwip/ WGOdDTbZYpt5oozRRzMN1Cbtf7kHTGNk3g== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1HmYTmUYwOFjiDal7EVMRXaSohSSmpA1e2QLoUaUKKUQhWixtNlTpAhF ZSmUpSzZihY7M2NXKrTI/Vz+uOf3vc/3zsz5znuuL7VTr6bp2ZIkSfMjPXuS 7EhJkttyJEk56nIvaeSjAuWpQ3XW2V9L7+QOalKDteZdtRud6cJDfGfeUTvx IB1oz7fmrbUNLWhFS9aY36/NaMJh66Z6RJtrAdpy1PoBPabttBAT+c16gv6u k/QqpvKH9RT9U6dpEd7ntPV7ekZn6DV8xL/WH+p/OluL8TFnrefo/zpXi7OA FD4lOwu5loPczk5718RnZiWrWcUO8xX6NV+xnGX8ar5Uv2QRS1jMN/FZvHc3 hSlKKiUoTXkqUZ8M8tp/BWU4yX6zLI7GfeMAeWhMBlfGfYq5PbdqqbhflKYs l8d9ZZ/3q8XZxLnE3+Uy9pI73ucG9nApu7iE3ZSM+8HF8Tm5KO4DJdjEhXxP LjZyPbeQk7u4gHu4jpupEn/f9azVdfG8sYH18f/Mt+hWNvMjP8R1mW/Xn9jG L/wc129eVQ/xOV/wGTlIjWcr9trTSBvSgE+YH79vnkni9TyycROVySSLWfxj z0z9Wz/QokznlPW7+pderSfi+ry+T+tTL87QerJu1+NaOPZ5/age13QtyI3x GaxrxzMYz4vmpxIV496YddcePMwj9Iz7Zv6Y9qYXj9MnzsO8rz7JE/SnX5yP +dM6gKd4lmfiHM2f0+cZyGAGxRmYv6BDGcKLDGOL+XAdwUu8zMg4N/PR+gqj eI1X4wzNx+hYXmc84+J8zd/Ut3iDd3g7ztj8pO+4LDLJ4AD72cde9rCbXexM Of+9eA6gwbzV "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1271, 1270, 1408, 1558, 1684, 1597, 1683, 1598, 1685, 1626, 1844, 1627, 1648, 1647, 1559, 1687, 1688, 1686, 1690, 1689, 1560, 1692, 1693, 1691, 1695, 1694, 1561, 1697, 1698, 1696, 1700, 1699, 1562, 1664, 1665, 1663, 1667, 1666, 1563, 1662, 1670, 1650, 1651, 1628, 1673, 1674, 1675, 1649, 1661, 1434, 1410, 1273, 1272, 1271}], Line[CompressedData[" 1:eJwl08lXTmEcwPEnvCXzkHlIFMk8vDYtyBA6p027FiWxro0oa+fYGP8IQ6Zk HjNnFjJlCiFEhowZP++x+Jzvc37Pvefe55x7U4pL80riQgi1JEVCSKSc0fEh 3OUet7jDbdK4ST113OA6qVzlGpe4wmVGcYGLnOM8tYzkDGc5yWlOkUINJzjK cY4xgsMc4QCHOEgy+9hPNXvZw3Cq2M0OdrGTYWylkk1sYTNDWUYZBaxmJquY xXIK2U4W25jNIsYnhDBGG5jDGtayjnQm2C/SudxnHg9YzCOyech8HjPW9ems sC5nIY0sIDO2zxOesp4NbCSDie4r1hye8ZwmlhC1t1RXUsE4XtLMC17zKnYe WnjLG1p5FzsHH/jIe9r4FHsmX/jKZ77zjUm085Mf/OYXk/lL8D5/tIPGMcW6 k0boSALxTDVP1C50phtdmWbeQ3vSnd70Yrp5X02iD/3pR9R8oA5iAEMYzAzz fN98LllEySA58v+f+Afm82jc "]], Line[{1594, 1374, 1378, 1382, 1383, 1384, 1385, 1516, 1625, 1831, 1624, 1829, 1623, 1830, 1645, 1828, 1622, 1826, 1621, 1827, 1644, 1825, 1619, 1823, 1618, 1824, 1643, 1669, 1614, 1820, 1613, 1672, 1641, 1659, 1612, 1638, 1611, 1841, 1840, 1591, 1839, 1637, 1646, 1640, 1846, 1639, 1660, 1593, 1843, 1617, 1822, 1682, 1615, 1821, 1835, 1834, 1596, 1592, 1842, 1642, 1616, 1620, 1594}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak4ldkfB3AkKksUUk2WkKWZUQkj7nypVNNQTeLmlihLdiqKQspIKSSl bIUipSyVVBi0UmRfwr2Wu9hy77Vny//c//s87/M+n+c953d+53cW1WM++51F hISEqsgr+AZuulUR5z8E3RIxncMxE0gt5oQEJA3ByCp2tefSCZwLbXWJbRrC hpJLnzr/GYf5udO0z1Jc/F4yIGmRNgbpzIxMje1cjDl0bzWdHcXtnZv+ygjg 4rdV28dDj45ifceKEZVMLpbHB+x/yhiBqZZiv0o9F618GfWkYyP4QpdRzZzl Qm15gM2L78PoTZD0zdfggTKuoewXNIzK9Z1x2yx58LnikuAkO4w7R6kGdqd4 iDBeW/hLNh/lj92606N4MFd03Mxy4kOWmpug/ZAHxmId+S8qfJxUcb8+XMrD DM3suFsJDw4h4uPTLTwY3poWlqLwkKrzbNycx4Puidvpe8u4qI1IM/tllIeb SWGsl9lc7DAt2jg0wUNUTdY7g9tcyO41+Phqmoedd4Ikai5yERX513zITx4u pFlcPu/NxedFv1l1EmvQEnoDPLkwsKElYJ6H3D2W/55052IwtK7uHnHomUNH PF25oMXcG6gh3hlQSHM7zoXQ/x8+XP7/cOG14dQSReJKpq23ozMXiUa6yzcQ 5yffDXdw4iKG84eqA7HOlY/1tGNcbK1y1rpO7DGkbmftwMWn4QKtMmK32ifq +45wYSvn++yuCB+pXjKLtXeT8V5IRZ8V5cOxWitxpQEXKQ6Pi6zE+LjxIzBT dS0XpfSjxjqL+MhF/6ypNBeuGk8qby7nI6rDmW14Ywhy3t1pcUp8pPjoe6ev HALlwILuddp82OuHXbJ+8B1B8zYZe/T4OPcoUF5703dkx+VJS1D4qNv8d8Xk 20Hkh1/ZOL2bD96FvxtWqQzCOn/y2BiVj8ONS7WswgawLF9qw7QjH8efZ/NN vvejduOcvqQPH6Nnj48H0/pxf+am+vpAPqYmLnq/r+7D5a+/l1EvkvmapSh+ NO+DXx/FMTyKjwDnp6G43ouJH8G1zHg+Rjrfvyjo4eBaxcYFp+/ysUxfPDnB hINVByoc8ICPd8MF1z1T2JAOsijdlsVHp1us5n+ibBRWrvaIeMyH5EzFLp2T LOja5qxfSvZhntdgDJXNhMtb7vlK0j4uNdwmbi0ToRO/Kk2n86EpGenn496D 6iZFakECH1cPN/huKu6GTkb9R1mSn3WNNtV4RTeyGFOWWsF8JP1FPTN3tgsJ Aaoicu58ZFD2109Vd6Lzi6jCiBUfVK8yu9sFDPzqQXeZJPXtlK+InXajw08r TS15KR/Pbd6HhGzuwJbsdo7FVx4uxpuqfl/ejtw+WkWpPw+dqz8orhdvQ7Bv ja+2Ag9nlUQeGUt9w47IYzbr8rg4andRZZNGK849dLe3Juf7Y30+TW9PC2jF XT/rC4bgwnubdojajN1/rM9zVBlC8MGpEwkBTUiwPSBlEv4dvmI5HVfzGlEg etIzgj2IhgBD4/65BijnXEtx2joI/3/fpQbbN+Cm6k8TZvIAlOUjx7Ub63FF QSFVeKIfbe82nmTS6pFwVsE2e08/dGeVdj4fqUPEwxvfKh360CrnLcwOrEOK enF1m38v9tTk+L1TrsPtkRXJhTEcvD5y+8bunlpE/fPH9oFcNnrLrveXlNai 1D4y7lkLC7Jv1O6nv6zFo1NidyQXsfBalGPx6kMt5NbkPC80Y6L3sM89/mAt ZrntrZTwHkQI8U65aNVhpfOkvldqN5xbSmhn4uvwun5T5JrqLnwYTO9aolmP 8zrr2mgSXRhc2b6/qLUev1bd/62RrNPEBprO8scNmAvv2f/sNB0JfpNvXRMa sfZE923Fgx0I8pDLLHnQBJkvYvI3DrYjVNO46X5lM6IvH7oQcroNISKy2esX tmLSJ5ulkvcNtR7byjusvkFB7BedNl4rdIU8qBaMNlw6FZFZbtmKqqC34cn+ HWDlTDbgUwvURSMCFyxnQIhiR/9i2wKrvgNj13I7IVdgGD0m0gJGwvaFRuld oNQ9XHG8rBnP5dP6C527kTSvOzAa0wyrgc5lV5R7kEA1bYv1aUbqqmeL/Kt7 oNZ964O9XTPObFn6qcmLCYnS0pEHZF9QQueWJ8wzcTAt37n2cDMGslVmDC+y yLle5XzGoxnF2dQ/M8dZuPM139XqYjPMDtaPmtDYUDEqvY/UZqwrV6bez2ND 3s+NavC+GVv0y4xeTbGRK+y5ZZbXDLGFMn+0G3GwYJ/LvhsqLbik3Jvp5sXB rsjrj9ZYt6DsZW7Y81scbP6kN9VxrQUyr/YVC73gwDpKPUaD1CP+iJve5UoO DF4EpjgsaMUl06yt7i0csLS3fFlk1oq9TVFDTxkcrFHrls0634plp0yWmHZx 8LuFfVfTf60Ib7ryfrSDg9GvxVeqhL+hmuLbNdPIQeKOTbqJ278hVuGNyjoS /+Rn+ej+S98QLOP8etUbDkp0p6J8Kr7BpE4u2iOLg575UrWBRW3QlfpnOP4m B5pFGUeVd7Vho8S1DUvOcxB/e/JJR3gbpCpDu9RcOVjnPr1sorwNUZ76HP19 HNw4ZEfxmG2Dtt3J3tOGHAzuFK8d3dwORw2WxWYlDuix+RF+Hu14cIc6f1+U g6ILM3PN99qhrvG1c2yADQebxAOL69sxLmr5Zm8dGycDn/TNCXdA/8H6Za2F bNRQlCSzdTuwU+Nc9ZO7bLRnZrhtce/AnydsLogHs7GVsac8OLUDOcEtSocO s5Ej4Tp0tr4DFX0rrjebsNHATgo1E6Ij0f/xrXtKbNynFT7v16YjaoY+1CDM xvRcuXXcXjo0gvTMIzlkP3SJlzqdoKNrH2+uvoqFl9Wzcp236Cj0t1AJyWXh qO4zo98K6GCnhPbeu8mCi7m1X14NHUfsqSOGQSyE6ooPfGXTsTuiU5fiQvpT jlGGJ+nYmvRc4d5+Fiw/c11CxRg46hBUtcOMBcYC8xqmLANFLkmmiptYeHo+ IyhBkQFWu7fiIi0WmrXKdDhrGPCIz36/VJkFNeNz0sOqDKzpdkhUXsGCRFeR V6c6A9didI5qyrBQpfjYr3EdA8Ip9AiFJSxIN9orDGsy4CSfYN0hykJyU5+B oRYDplne4klzTPgu2WfGIO0DYq9ftv7BxG7RyhP2JF55c0z+mzEmDIMtWcpk PMNg7RchI0zUpKaxTpB8mmbD/j48zMR0jUVK/EoG3DIPXZAnfpBKjdaQZ+Df r+WHY4iTRfQsRmQYCFXaZpNK+j/1LtFRlSL3UchaGWkSf/ej0hcfFzMwO9r4 6PE4E7ds+w4Mkvr4Z4g6Wk0y4aDmHRYtykCbCG81j+T36Umm7yMRBoIVHSo8 p5kQ7zk4cUqYgdheZtaFGSaczPj5wUIMDD9lngucZUJeQ9i3dJ6OYt9wUSsy 3+kRWcZG4vSzejTpn0wYh8rWV/8k610UGfeEOCxHIuQacblbbIguuT9qqJ94 9sRLMtSb3hA/5PedphHzJvc1rRFi4Rmn6bsPcWfrtlP2xOIXdvnGE9cahblf Iu4Rjt36kfiH5+r+O8RDzKyYKeKMOiW7ZGInDWVzY5JPDz8iL5b4atideX9B vp/V1wUTb7bobcgkpqjkpDsR/9VhMlpFbGPOXmFBXPXKdbCPWM92e58+ca6c i+Qs8doddrvViLNFguZESD2SdC5SVgus+8hsEfGyapE/5YhpDWvlJIm9OnrM pInbX0s8lSZenLF/y2JiWW6NqQxx7Fix3EJiesCHVbLEuSrOafOkHoFMA0PB /xSzVcazxHeXuu4R9Pc6p+06LaifUNCABPHaH4deTxF/eeMcuph4LLqwWuCr vX0G4sTGd8WogvbJjsobFhLb2FqpzBAfeJ8YtIDYpaBIRBB/sYMnRZhYeudo 7BxxWMvH2XkyX9f3Tz/9JLaUueMlsIKmYpwgP72JXZYCZw36igmR/KMrbZ0E /q/+lZHAHKfUKIGXTfyyTWDVyLqXAvdTVY0FLpp2qRYYmckbBa5N7O0UOPKa vabA/wNFcogR "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak0lN0fB3BNWUpiyhJppYgsyRb1fgsVEqKkqKyJ6i+vJaJolUiFbEkp S4uSemlspVfK2MYSwsxYZmyDyT6jyP/x3nPuec7n3Pvc33Ke56538bZxJwkI CLCIOf/UkxpdFJ46hYBdI8qOd6cgpESK1fs0BdF1BaU/myfxSVTB6i5rCm+Z p142LpvE9O1Z30ghHgofCspZ20yArMCs9FHkwToidbr6/TgmI/P2Ge3m4bDY rtBq+XEIqya0/3Lkgd35d9qbqDEoViV6Jl0gPENy6SGNQTt7Q+Wq+zxsGzFz G7s8igWKqrWhL3jo9OF9dxMYBT2fXC5YyMPNta//Uns5Ake/Lt/fVB6aLe8K 29iNYDzzi6RTK/H+8zizvEUj2GJX2K3Vz0OU4qLwAK+f0PeRkPOd4kFDiW0e R+PCOUJ3Lp3Pg9ZC0UPXPnDRNnZte+MvHoLuh7JvP+biS4texewMD97bo2tf hnNxNi3mpeIcD+sYOj3d3lwUZfvfcSDcwjU/d+0cF6WWP0/FEE49/0VL8QwX 7nZzulTC+UIJOuWnubg0nJ3CJhyrevjrAw8uBP4bfJz6b3DRV2TkvIrw//xq hfXcuaBEqJTqEubFhVOE3Yj4siZB5whP+CXqv3DmojBwVDmd8CVO56T5SS5i ArRobYQfZR4eGXLkYsjMfN9vEh+hyZONB/ZwYfqvvsRKQT7SHwae/arGRS4F m7cK86Hi/TraTpqL4eIn9/cu5oOxJkf8z59hDBTLKk5K82FxwduwxnUYwyLb cn8p8HHko4hLVPUQziZ4Odpp8lH1j4T6su1DKL7bbSm8g48os0kv5ReDuKO5 mrJ0Hx9C5W/r38sPIva4Sf8FOz7EjH3cpSw52B7DzTvkxsfiHdLZ8TcH8MLd 8cOT83yker1wqi3vR0x764ejwXzMRIk+OC7aD42bmz9eus5Hb9d1X65dH84Y bFouGsXHZe0a423Pe5GWoG/fGcvH7KqUsu8fe1Bs+pqflsjHmifjWuhgIyr5 9F7LZCIe3cemQ4QN7ZDNbDaxvvbKc59thizslUmhn4rj4316x2SFfze+ekRR monzmxfmaBtQulCpkhSjf5WPEBetxC2kLkRqHgiIOMdHklz4KppwJwTHTc+l 2hD9eHa8QEePid+C+Q/it/LROHPvS1YQHQfK0v9JXMJHiYhmTlZTG0iSpRsb GTxk3JUnLTFvBfaYPAt+xYO2Emd3cVMLTijs7a315UGINmj78UIz7MtXB3tt 4uHsI3vBb/TvuECuDb1dP4Vb0jfJE86NiL7VW1HrPwX6VxlWmGADfieSQjtX TMF6ZpKbW16HRPfVK7yzJ3HzfNKG9N005IxzFNV2TYLUZq7mplKDn+KU0Bra BKbCy1Jtjaqg56nXKvXXBIYsi0e7V1Gh6hZPM30+Dv/hA2fctb+B82pI7pn4 OBo3xUtO3CiHrtuuIjP/MdwofsYVEP0Ck7tfm/e2jWJtp9pBl4//omz5IvIt jOLZSSuLYw8/49qKsQ3MjBHIqbYvTn5UCunlZ/xmxUZgtWfG5NrVT8iwblMR zeAiRYy2vzy7BFkm3UmxesN493x5N21zMaKe+0VLNw3CWs82PeJnIZR9tcXz LnPQOXnoZ+hkAS4mWIvu1BkA1VqhKF+7ADIBJm91p/twq9Dp2sUsCo4KhFwc qezFwNjKJbpmFKiHeP6IeNmD4EOx3yykKYjJV6ojHWWjuCBBd6c4BfDZ331c ngWpMleVZCMKRiS1LFdPdGGXW+qmjW8oOLBHOSC1oxNDOnxyh3UBVudsV91f 3IEZx+CDdJVCiNQr5dUwGDhnejRn3c4itEWsKpPbQMfsxrynYRHFkOeMpLva t2HH+6AzrD0f8eaiKKMu7wfuhZgPeGwuhU+VsJCYfgua5K3zS459xuMW8ZJG ehOKC2vFGwv+xfcC+cHJtO/Q8cl2zDb7ggU1DpqONxrht+yc9n6xryiclhgT vtEArcWpEaHCFXA2OnVuxeN6sGVqxt4aVKJPR2GNeHEdPOQWtu8bq0Zov6O6 NocGWvfl5anjNGguFank362FcoqKES+1Hg7V9JOG7jXwGz74QtajEXpJrT+E TlVjweIHyV5WTbiYndiaGl2Fd1Y3n362bUG0zc3SS+2VWCqv+f7J/1pxKfBt gK1ZJXJYa8QcktqJ+4zGXtRERYFT0U+HagYGhPKqXgVTQWlK4obPdeBfd7UP 8QZUjN8N9jki1YW3RTIVpuJUnEy2jxdQ6MYnZ9L6IF4FHHFWYedGFnSl7L+T RytwYn+ih5wsG93eD/ap/6qAl8WxbdYzbNxOaJKQJVPxl1burf01PQhLN3Y2 06bCwnCFjUpkL3JdRWWcXKiY6j+g+UqnD5qpmXGKyVSEUJJtpGr68HYF8+KV NipGtJ2PyNv044rbXGS7aiU2f5smMRr6Edf4V3XWjUrEzZx94YMBeNqkfGb0 VuLiOz3nsqQBaGzLXZdoWYUTv+4LfGMNwPjb5AaJYuK/Y1Ij3ddy4LSh1TZJ vRomM0yHs8R9edR4sP5RRjVUS6MeXvub+M5v2yx8uK4G+qerkjff4eBRvVXz +X9qoN6inkJ+ysE+hhbVz6IWN0pMl31+zYGaWfHZNf21kM4QXlWWy8GfIlL0 1E0arrswTFxzOOAxt8yZSdYhYevh53lZHKzZbuNrcaoORp7rxB8/5EAq7LiZ fUEdlpzVcaFHcuDjz6btFavHkBvdYnEQB+4qHw3afOsRb+tVSD/BQdnWYB/z 9nocSxc6kbGbAzm3sA1Oxg2ottYVnVzPwZKI0cLeVw1gZRgPQ4CDqWNKr15J NkLyFH8Liz6A0vQl7ZcuNWKlbLaaCmUASmkn96r1NoJW9ynNJmYAjv5L+/2t viN6pMlE78wAqkYirQ0p35E9rpNibzwAafIBM8t1TRi4ZxdNlxtAZL2Lelh4 E7KTd6mzR/sRmGX06+lwE76/fdgXVdGPmeaq4xE2zciMeuQ6mtoP70n9bqH8 Zmioluiq+Pdj3ONX3uZNLYjKEgvavKcfqgHfLadjW7BJxf2wulQ/nKNU4/Tn WmATEka27+nD/25NH37t8QMmXp/Kv+T14eGObR/X1fyAQ3rqg/s3+7DSerj0 pEYr0gde0NqO9MHeTMYp810rvHaucfoo04dAsWPX+9XbcGV46W+J1l40eIWW UZ+1oYR0UlQmpRfrl3RcIJHb0c9hT0o49yKso6vWKaAdDHLoaQPlXtzS03ag NrbDqvR4MnW0B6QLwav1NtPR7+4Rwy3pgflL10VFAXSkmmoHN0T1IFaru/di MR1DFIpEwokeuB+KZ0gtZCDL38LdVq0HfpWDTbt2MRCgXHdGQqAHb/JOioT7 MWDL2BjX2syGD0ld8dYTBuri7+zLzmUj8ZDPzNgXBoZK00MC77GRt+CVelg3 Azp72jLX+7JRfUvh3doZBp42JQqO2rGRzxaVNxBn4smykqrFYKNHibyTKs+E DGWvlrwqG5HKlOGCjUxIW6pSaHJsZKSwkvpUmKhrJ+36KsZGmcy71bJqTGQF GEk+XsiG//PTfX+2MPF6QjRn+jcLDoZ0XS1VJjJrXqkHTrGQU9ppraPMBIn6 xOXzGAvvlsR0/VRgQk1GetRqhIXbWl2ULWuZ2H4hIOzgTxaO/C1w1VyOiWWz Tu0ehF/7xayPlmLise3hJ0bE/pslxxo2kZlYc0Rw2eNRFtL8ybJaYkwIfMs1 3zfOgnK3gP+nxUy4Tpw3Jk+y8De5oFhThAn1LLmEWcJB5MaV5UJMbLq0RayP yO/QuvudwYJMmAYUcSt5LMheZYodWsRErudy4Sw+C6zXZ6wtFhL1x56JD5pm gbz0z2pXEhNKD+L27P7FQuaPjCMGC5jwM05rsCPqP616+JSFABOypxyfW82w 4K9xviRmjoGejp7lqrMsFH+0rRIiPO3t4DZA+NoyV5WnfxiIDprMj/zDQlt+ bYMz4Qn6ymdL51igtXebGhBWe2/KvEBYJadCXYkwzXmnLY3w88io+4rz+z/5 C0kJsFHft3FInbBiosTC/YTPZAjFHiScJxLkep3wbdv7EVcJG0i61j8jPPfC 0LOQcJXsbGYO4TUaJh/GCbO0Wz1fEz4ydvmJCpHv4MO63DTC3qevvHEk3Dmd q3GP8D/hhg13CB9TDR8MJOy72HhdPmFKbeaAE+HzAb5FTYS992RuNSf86uuN 48OESemhv3UIZ1R6SP0hnGng3q1I+OXXGMnFRP+OhiiRZQjLtHrfEScsKR3v vpTw60rtlOWE32w1il40n0+Y/fi8uy6GnJ0l+pG2YvltCcKG/g8Gpwln0e+O LyWcYR3ZwSd8Z7vIjvnzyQc9zefXL4V1TQkSZhpUnP9F2M70sfNCwiqbrjT8 Jhx/NKZ8AeF8A+mxGcK2DvJPBQhrGGoMz8fzK49nzxH5/3UjkPKHcKX8m4B5 n7ZtspkjfPqyg/G8rx3fVzrv8jdb9Oft4V7Am3eN7RGDec96usgIEPWoXff9 bz8lcExt3v8HRx4wpw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1nk8Ffv/B3BSoY0soU0iJdkiIvWS6JuEbEVlD6XIvUoJReVS4UZ1jn0P R5Zku4rILluyZD2qc6yHc5B9/U1//ebxmPk8no/5zPvzmddjPjMjZnvLyH4N GxvbArH/aT1d5Ikjm8Yjtu8Gdf1BuGYy89N2ZBUccRFZ5c+DEGGiLPb90wpy jC7RToo+Razm9RDfqGUUrXloE/rUD9XeU1d9Tywhw8oybc2cL+T6v9M3sRbQ efbirW2XH2AdUzxnImMexjS9BqnfHnhK0Vqh3p+D+5x40IyrO7rKK0af8c4i 8JWN2Q1ON1TxWCbafpiG6eGo0WAHV+TtKcj1ujuFv2BjtJR3E6o0jd2HlyZh UiB9zrD+GmLds8qGIycgedFKReiXPRjL2uQuk3EEf7kYeT7HDgJpVcv95WPA qld7dqkNTu74b723KAPzRrig7WSN+KcSewdEhnBCrb86t8gSP2vE9PWd+iG6 3Z97fYUFxl8+13zj+wuWgbPHCxotkNm8/6PTUh9uBs1NX9xihZP7Xu1+l9QN lwq7zoliayi5xOU707/juZWtaRbZFkJ97QvW9m1QKL/mfPL+VRyY9259LtWC hyorlkWdDki7wjU3LNWM2c1cT4zrryOxKD3QvrQRTv2t2ndcnPGSp1IxMKgO loUce1YmXDEf2Tx0JLsGVRH3rDvT3dAomd9htbcKnC0aWjEcd1G5k7q1yKYc Mwq5fVLbvfBafK/++cVSpDLb7p3R8wVX2MC2A6ElMJPnctXzfIwurl7j1kvF 8K+/Kjq+4IfGS/aCbnofcdirxVW9IwCi+7m1tjgW4mdljiGbWCC6tkulDiYV oKBbdHhd/7/QVaPX316bj0NtjKxDO0LRqyiQt/d9Lg4I3mjS1HiF3athxQbu ORAI2N4ymkYCefLrphiD99Bi+3yxyS4ckQ/OZ1SpZ6OFPWLg6e0oJN4SEQxT f4fcx1s96gZj4Zd0+oHctiwMZfLz6F+Jx5SDeuvVygzQHiUUqvcnID6gTJvj n3QsSwbOu4UkQeXN3PD/Lr6F3wSdOWCXDJ3xtcc8jqZhjYfwdKFVKh6EOliP 8qfBOSMktPBNKi47m/gksCi4rRn+y2c0FSscBSqRdRQMWHmObFWiINT8sUR7 CgWPFiSzXbwoOLC1kud0EgVkicLb+Y8pSCp2TcyPo4BTJ+N/bM8pKL3l3Lc/ moLmm88OngulIHzUK8U6koJ1YmvjJl9TEBH+Z/v/tkJisbCFTEHwhHAX/lz3 VXntFhIFxyQ9YgaIutqhl0YfEXUeue2UO5JKgU/tF8+5YApEqDVNflkUzH5y ee9CjBsmus63I5+CvcKa6fLXKLBWb3T2Y0sDeXF/oKI2BQFNeds5dNMwoMP2 230vBYvCHBHGpDQg76fvwmoqvmYzOTx+pWFa5xydh54Czrzr8nrBGfhrsNjU pjMZrspv3yudeAfHp3/f3NX3Bs86Pvgd6szGpyN8L72nksB1/sLhqYgcbP6x erdSOAmDCxWcwf/kwc6wzlRTNxFhdfqifLEFcP9iFROUnYDxG9mu9TcKYRR9 YWTbngQoXz829tDsI6opxln/kuKhpeG8UOpQjH/C53XTBeIxJ5VSvTOsBK// Xu0Sj4jD3QxjgQ2zpdApv8+Vty0O7LFSZ5SvlmHKxbpY62gs6o/HJ6ozynH6 ZUaVgEkM5IQbqSuBlWjh7DLc7RON7m7Xe8fOVuNs1jqh9I9RCKYIvvYTr4VR f/b4lvVR8F9vNaouUofqsF4nNY5IKHy4x8Ph0ohAwY+Ma2IRKBlnTn5a2wzj 6pdyL0PCsW6PosJJx29YiZMv+8Ybjk6LwMr4rhZsWorUM4oJw6IZSbfQog3B 1M9iWqph0F34MsjPaoeFfa/Yrx9kmHgdf/87sANPbfnKnV+RiefqtMSFI12Y yU97kmNCBu2g/ePlrm4s73B8srKbjDpyPceJf3phOrLdOGeSBPmzrGd5Sn1o qugPPN5EgqrMjUuzf/1An/YxOk8uCTdz1wYXnPkJ/s1mkklxJOh3Bk7Y7vqF 2nyBo56vSDjzY/5HPfMXDmgW9a4Ek+DXx2GQqUKHtdXGWC0SCXmlAzlCyv04 JnwnUC2RhPeBnxNNlvpxy2lHNnc+CUeO9mcwCgdwblvNxbONJMg2Rotougxi IV3AI4pBwmf9paUh4SFIqAlcS9lMxuv1PcKRhUM4kh3nJqJEBptl3qTq+WGk TGzwT7EkY2Wf70RtzzAEFQ7Ubgoi40nB7hlnqxF0Tzk/Mxkko7T8lIWwLANX SOasl7ph0NmSb5T8gwGdS+415Ulh8Djl4sZnPYoqvUGRAI5w7JzZEfasaRSD YndO3HUMhyAlJDZYfgxk61QN5a/hGOJOMYx4Mgb/oF2Sd49H4E5eQfv2hjHY Zx5wmM2MwP2Jg3ccNzJRlhvx7IFEJMic32SKNZio32062RMdibdsz2LUXZgI XZOZztCMQtnl1Dt1sUy0Dtd3bWFG4W/V9ZdfVjPRoOnnsCU2GiTZunqdQSZy Cn1dSk1jsBDELWjJxgLJmn1qPV8sBL/MLLELsDCsyjfS0BKLiq0vrh0WZ0G2 lqP+iV4cWn5mXCmRZaGupiG2KycOMaUR6sYqLIQXXs7vl41HDv/rVL0TLFBD qAYZGfHEd/KUZYomC491rXXV5BPQ6yBQxdBi4UOkXmJYfgL+Ti/p8tdmwfyj GL1dIxHdhlMRX4nzV81Li9c1JcImvlie6xRR3/JHmopNEnoTVThsNVjglSN9 EJ5LQh/VXXPNcRbUIw+Fyr58AzOXKPMNqiwsbq7p+PdwMpYdpw1ClVi4vOGn jEl7MkLt2sLT5Vhwd33F/epBCvKc7Y0dD7KQohiQcE06FXRt5pEGCRY+h+zr YPSkwuvn1osDu4k8boc+/fGeAv9d518kCrFwwtPO+8W/aXjBJU5Zz8tCw5jE 3H63t7CrOXpOgIsF1Z9RHK0W6VAw4HdtWmXCY2D7xTKDDBSn3ShTnWWirqNC Q0wnE0rk54vGTCZG85zfRPpkIfZF6AYpGhN+w2prK23eocdZnT/gOxOqFFP1 PdzZmF06L32rjomFH2+Ln+Zno32E9aX7ExP7BvoGpZ3ew6a2Z+ZLNhM2J72E FCRyoOBra6GaxITgO04Pt125oCWl8CyFMHF9rOn6mFge9u2zlex+wISp98bp GYV8cCSKyTU6McHrPCA+oFeABr3tHvWmTDT/I2+wxf0/XE/qO9AAJrz1zlIl 4grRuvW6ZKgUE+o8N6WV2j9AUiGw05yPiVObefi9hItgzzx9cOfCGMpTOw6o OBZDsXqGr/nHGDy8L3eEl32C8qxVpmvVGI4uBW8uel0KzxixgtPkMeib5da2 93zGhZ33umqvEuuDoz69Srkc4jeVfTplifURtiThl1gBS5dNO8ynR7Hr4ZfZ b8T/iINesb3Cf6NYWPO7Vy63GncXU94Z3h3FDdsMlW8XanFUsdsl+/Ao1FIV TsVy1yEp6EaN4QgD9NiXhhJ19YjjXVFGDAPPQnY4ZZU1wN3Y52yNGwMKJWeN kosbsfXqxhTdMwxEORv+Sv/YBJHPSnpfdzBgnqNhL2f5Ffs+5MZbMkegFzf6 PaXvK2zb6u+xlY7ANqy4wceyGYyH/a+4Q0fAS7fcsNDbjLvO6ed07Eag6zbn +N3iG6RmonvqFUfAb1tZ29n7DbEcFFYCxwh49sXblVi0QMerIr772zBq2tuk dk22IN18iuQQPoyuyrKqAL9WnGCu1zSyGkawV3/VC6E2fOaS0iyRGMZqMpmv LKUNE3y1cV+Hh8B3p1mQcqQdtmrnUt9mDmGjfsPmRwPtON36/auK3RCUYsID VkO+Y7se3YKdeH9+btDQOKXSATXGyGubhkFkuT7w8W7rgNYa+YO5jwdx6ZxZ 98SNTkjKcnWbHhuE0LihyeJ8J17sucVImBqA2iGR3bwPuyDlVHhjOmsASwtD cRULXaCaWb5IdB6AUbtRXsPNbuz0mZlflhkAxV5rjL2tG5dlPbfqT/TDw1W5 w1yxBwzRVP/Wgn7YqCWcZPn3oNVpnL3Gtx+kCm3XxW89OOKrwGli0I95suaD VoFevNDbrRy2px/x0qpjw3q9COidbUiZpmN5Vi8s0q8XRyYmYlpq6HgsKdyu ktMLg78UsDmejkVloScfv/ciMMnukPIDOlBLnZCd6oV7lr34Lms6vI5bb43m poJy3yXS5zQdEU9LKBtFqDiQFJuxVYEO0Y/xlbfFqZiU1jhzV5SO921hc7f3 U6HZGJImJESH8twbNf2DVORJxeiU8NChVIqj+w5R4dkUeugKNx2CmsWaO2Wo 8DL2NunhoOP4LcUTxoQ/yTfSZVZpiKp3DB8k+p8/s+YMFmmoXbIODifqWc2Y V1+bpqFHaG3RiCQVlrwLxz5P0PBLgP+7815ivgNF7q0sGiyMl01f76IC7FpD aoQ93cxlCoSpEG2rjo0gXPJytIVXgIqEJ6OhKeM0nLvNd6mOh4oXkxGy4pM0 6Nv6SptvooJnOCYu8zcNaeGzOUZEHo91/0vWJ8aHLEnuw3oqTHT3mY3N0NBY skwLXEtFwJHu6PtzNLBZHQ2uWEOF8mMZA8Y8DZa9/iFm7FTsrAg1O0rcj7L9 suRVNipszne9V1qioXuktTlptRcLAcxo/mUalG5ILvETVvCYN2wj/MY6Qfnt Si82bTvVfn+Fhkp/d+urhFmOSbXriLyupKyUqRLui3mgeI/wT1ZUmDhhzoVi 7w1sdNwrzPmtRtjkrZ+gI+F/Zd4+cSa850udSAThaDFezwzC2cktgZmE+YUV 58YJd9Ra/8ggfN7X00GBmI8F5/WyWMJvbss0ORHuKKVKPyN8fDU0PIxwcjIb uxvhWe1sZjFhz9S87MuEI3m9BboJD0Y3sLQJG89MNYwTNuta+XCYcK+W7B42 Ig8yW13QXsKn5X0PbiAckW/oK0hY8NIeaR7C078HpTcTlj9dxM5HWKcWUesJ RzjclOYnHDYREstOOM9ku8wfF0ioh64QeVy6lxX0p/+jWxN6S4T/D1If2TY= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd03k8VWkYB3DLlaVRqUYlowxtMoVsUT0UhVHCUNzCJLILUZYoa0JKYSJS JFshayaVJZFU9st1z8E5livhZrv2ec/8cT7n8/287/t7n+f5nCN9wd3Ejo+H hycLPdRbx7l79Zv37ZBi8e33c7Ez8FO8XaGoqR36Ah9f8rk0A2zZuusfZttB VlnCx25kGg47zP4qJd0BXTKVBVne05BVJcyt0u+AMM+Hop5C05AtKG0U6tcB jKRPfpLRUyDLEO0/kdMBOjZ835mbp6BT0ilyY1cHxB/MPVfxYhLo1qPFnFWd IDXookboT8Ip/lbPwQOd0B+h0JYy+hNOm231W+XUCZjSV2X2zZ/w6oWHWU9q J/yyNStKcdtPeDafLe3V0gmpUWs8/6nhwP6YcvN2GgM0N00HWLlxYP2zmLZf VBnQIfZtNSbFAZWk4PU3PBhwgN1V7lQzASlqEUonchkg3Wt+YsFtAkzOGXzx IBig+lLOu277BMgwGUFrJLqgWZv7CgrGIXftm1k5oy5oIUWwgd3jEPQuzTEg tgucMht1dKPHwMbn/cMnTV1wiIyzH1/4AQIhLVAg3A2ymQqXrvn8gP2xZrFv jnVDTtxjg5z5UZC+fuR8l3837OY75eYfMQoum1eI7HfdMH9mor2UdxR2X3E1 zeZhQttS32ha+Hc4bOQeMX2ECYMiXIHpjd/hg9Le3Tl+TGjSsjmUljsCwVbq w71FTIhvULhQrj8CFaB27tE0E2Ju6Zfe6WFDXQV9HU25BwJmrkxgV9lw4XMe 3yH3HihujLJ/KcGGV/0TuXbPe8A7Ra5zd+0w5Mlf9Awa6oE7pQ37DW2HQd86 zyhIhgVMeoncdpFhSCxLd4insyA9xORAddkQVOpvqR+LZYGSmV25l/MQrL4c +0mjkQUvbFuPG/w6BN9C/mr15MXgwh76wum6QVib6/COqYTBWPOtpNfXB+Gp SUBuqTUG4vsSBjo1BkHRZSZQ+xYGQkMevRJLAzAa+q9lWR4GN+5IJAjWDoD2 RrPJ000YJB/jLCjHDkDieT2GzggGUr4tj/SsBsCy47lk/jIGZMf0V1WNATgU us9DVAwH6/m4Gdg8ANx8c8Nr0jiQNR66ulwS3pXJRAgq4PDMtvybXDcJFocf 27UcwuEz/ejvnZUkrHrsruMKOHwQS5ZoLCNhXU3z8UltHM4Vpwu0FZJgrFGS c1EHrUeMZnJySXBkXH5RdRwHVV16jUwmWh+UF1tC5hV/aXD3GQkrB5y01U/g sNP/k8BSBglr/1Y/4oU8V/RkyhFZPf1D/l3kjD/mr21H1uvz2/gSOf3yYZHO dBI2vw50bkS2aP8rMQa5SzarZJjKK7RU1EE2/6ivIKOH1vdDUOFTEm623b16 Hlmrt4lnG7LPVHRUIrLSem5J9BMS2iud6M0GOIz4NrT2JpPgV6pvN2uIQ5RG GVMvgYT0gRsDwkY4PEhUTqi9S0KLu/FmYWM0vwTnz6ZRJCy8qV+4ZYHDmysx jZ6eJHRgxx552OBQr5M6qEAnIeC74namHQ7FKjYrvrokiB4/SmM54nDmi6iB piIJ336qb7rjgsNeH9G9tlIkPDV8U3XKDQcvU0uJHzQSGnqSi5+64hCe7hii NEZAfd5ydqMTDtGXd9XSuglYNl7hF7LHQaM720S9ngChOsmGOGscHC0DVTLK Ccixz0xLP4PDFhNutnQuAR8dIt3+Qf0uRYYq308moHioKPeRJg6G5l83WMQS 0LDnvrHsXhzij9q5SoYToBzT55O4BYdkocoLUUEE3KZnvTQRxOFs9Kfqs/4E OJqfCnw+hYFg8OcuTV8CFu1Z7J4+DO4lnjkzcY2AdhooGTRg8EUsqm3YjwCT NEVxq0IMkhYXiY0o759jjoe9kjBYPOBsNx+KPOvb3xSKwdlLn7Tkown46XI7 LfUyBsJMMVWDBwSUT8fLC1hhMM5qCeNJIYCvB+//qofBSM2fe32zCLgvlrZg oIrB9xnhXYtFBFyMkDO/tBMD/+CTwvLvCAhYWfcnbQsG3CY105oGAux1PSen RDEYffvB4l4rASfur7tHE8BA8Tp369UeAp6cnFvqX2FBVH/0Wpl+ArrVvOce LbAgf8/F78ZDBHgK8+lIcVkwWvxwln+UADH6INdkmgXv6U5XNCcISBB3b941 yYIQvZMHFycJOF4YaH6bw4LcJofzf84SYNoqIeg4wQKttpvsffMEeGmFexWN s2DATu7Bi0UCzlYEG1kimyi2hn9ZJkBrfIbrj5xtX/MHm5eEvxn+/dbofJhr 04AA+l7wycbCapQfiruu/0uABB0n4oYbuh/Mvd1WkAtirKIOovo4V8zG960i AUyc0mmzyJGCmjTkOPfljNeon4rTN2KT0f7hCcUu43kWRG9iPxdCVl8Jf1iB +l9q+fW6DbqPZ7/21/FFFpj9a11dyI/+l9plec4SmpdK2C5BZM5bzoaqZRZc NWfzOPCR8OO8QJ4tmqeFSfogA9W/xvLbbgz548Y2vXPIzMkJK1keDDRqbYeE kS/Oey+cRd4RMVNazUPC80h2cCBy7W0D3XDki6q8FonI5g/KB02RGTuCS54h V0qt1MshpzyRT8lFnivI5RNBvomLV+cgsyo9Z8ZXCFBfQ4vLoPK0d5X2ICem mkYmIafc+/3IV+SozLDhGMrGsQ/rkDn7ncqDkE+lRg9WIXMJ3Y+uyHUS2+jv qbzrTJKOHNFxdUc1sppUFmaAzKueAdT5l7bbD2siO2973NKIrCFbf3kncmZ+ ZE87sorj6j3iyCNzK+t7qft3eimKUOc7BGzYyCf15fj5kGNTjFQ4yPFLO0cW 0fxS6+xsZpFz1hjkzyHH1YWsX0KOOP3jF8q3GSHuPKh/h5KCDsp9WkEb+JAb F8YOLiCP+eU8oNy5KeAVlffvPScXypnNV72XkIdOWv9B2bDdV3oZWc60rJcX OZx3RxHlH3vzYymbpuyQW0GuyrivRfld0u1rlGUSwmiU3yoHlFFuTm5qouoJ yLk5TDk442gK5Q9ntUV4UH+/XeD6UN7w1lCGsnPCanPKouljypSD3htoUI5Z 1XmMct77LxKU4+yP6lPOkeOnUT55Z+4EZb/J6KkVNI8wWp8K5aRZWYKy+p0p ScpqyyEDlMduCQpTZsenj1MuzJFapOp7XMCZp/xaw4VLOV/oGS+VX37pt3nK SxUMfsqdJRULlLNkn/xvyfNbVyiXhbT9v/8/hy10/A== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.46875, 0.6249999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.48875, 0.6449999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.6499999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVdf2qFGJitHYry0WVKxYogZjXbbEhoaIYoHYNfYSFXvvvWBFY+wl giJ2LMcWVEREiqKg1IP0jg2V5xvjfHPfsR153CQ3b/zeeP7F+MZcczHn3qvM Nfdcx3LoxF4j8puZmVUuZGb2v/8umP2+YZWloYYhNxYbfmztoTpdmRDs0SdQ uHj+Ky+X2XoL96syq9TJs4eF0R/Q+Wno1fbXRR9GH0YfRt/c/dWjXiN8RR9G H0YfRr+vRZExP3cKFH0YfRh9GH3rS+VGtXIIEX0YfRh9GP18E61Gmo96Kvow +jD6MPqJGyp4xraOFH0YfRh9GP0+Y6p9dff3aNGH0YfRh72N+Z46RZ1Who61 PU70jFVO4/dYWvj7CCdkDkqYvC1YmPZ1KzdstPlRnLSHkbu8aHZ8xuBEkcPI 391v1eDH+GQVtctm0U/jHxmeOe8t1mjYdmVr6PFD1mw/YfyDD650at205SXh Zu4rDxf+YpMq8mj/pDZFjKqaR4nbO/dcF0Y+1eO3VEuX58q27PY2F+c/EPmK gNrb6px4/FH7ZytPTij4ZYK0R5/nAdO+y7DzyQkHkoQ9WxvG3W+QKvYg5/1g P+8H5v3APC+9ffr3hRz79P7RHn3eF/7ByHlfMO9rp/lbl62rA5XfyHHFHb+O U3PWj5nbf9BaQ3nLpEV1+xxSLaJvtOux/5Gq+CbuflxarMg9qkXZmY+KUaV/ iCkYPuKo6rfsne3W1SnqqzWuIR1mPjZYH/+tj/WkScrFPaD+miHBwtl+ReYH d30gfDxi6YE2w32EZf6aeHKNF938m10XHuXrG/V7kdPCjJ8idX+9mDrIS543 jL02zhsv1+p5Rjg81O3C+ckG0W/0JuHxSvtbog/T/ma1mAEHfW4Kuwam95sQ dkf0kxoVSFx70V/0YdpPWJbr0DzFT3jfrmX1zMwCRP96VIl4h3vBog/Tvqjz 2qMxK4KEp3+/uc6dko9Ef+uWKs+rhj8RfZj2kXV2HnZ3fSxsm39frU01wkR/ XBdrY1xauOjDtD8beuSgs9sz4Q1P+m5yd40Q/T3vdqX3Wxgl+jDtv+sc+qBq eKTwm1MDS26qES3rBe1h1jPGE+ON8QSzvqAPo894oz3jDWa8wfiDPuMPOeMP Zj1gfWH+wm+6j/IzPPdTSwJTe96bGS/8Tbsp69SVBHke7L8w+ynM/giz38Hs XzD7Ecz+Auv3C9azAvs32viUvKz2VZhVrGbnZK1/03zDX9aTK+tCpvY6761S 3F7cO5lfWw+9lxuS5tsa27IewowPmPaDh0T3T/GNkfUTpj2MvTDPG2a9hAv3 XB1jVfmJrJez6rmmWI0N+mi/67JiQNmZG7T97NsCTRcXGZiiEm54z7+TEKRO HHDY+eW+D+vjtWU3ZrR71Lb4khDPlDGrhJ/0SRw85fZe4aDQjX4LN58Tbufs duTH+peFN9sPjw5I/l3YZ89k/3YXbgvvDjNM9CzsL9xy8XcjR094IDx1/b3x sysGC5ew6T28yYKHwl06hI7tZP1EOCZuyNCcjaHCVbLjRhdrGy789F7zxlE/ RAi/ts9pmlg7Srjz4bYnvJ9EqZpXXd0CJu9WdUcbSj358HyRn1zwbcNjw4yq 1PHl1Q80DTEg91xtjKx3+KHww7SXt23M/YVTdh0rMTvVV5j5CA/123PZyt4g HNep/MV2lheEr6+dsLx6mWtiz7wAz8JlG9z8yL57BS2anG7xXLjSAFv39UnP 1ZfmnX+Zd8Ffa18r/unLbwOE+117+CIxLkT4fPSM5iOmPRFuPWv56Z+/D1G1 F80Ibl5L6795RPGT26/HCy9tam89dVqCjM9q5w59adY/Tk2wqfavNgMfSfwR tG9XATXogTox8nGNlyUTVJ1O7b4P6u+vfLdVv2gxPUH623vhX43ndk8STi06 4Fi/9xp/7lL5xJCgFOH+sYPrtVmeqqLSAmJDL9+U+V7Cp/q8iQMOSnzTbPNs 85mVjVeIV9CX9cnEsj6ZWNYnE8v6ZGJZn0ws65OJZX0yMesTzPwl/plkWf9w 1cWxItfHP76OGY+KfaY9L9YrmPin6Bq/h+su31ALfs45a/FAe359k5IOhEf+ porsvew45s7Jj8ZTBdelGe2zjcq/9piaNwfeVd1njbLZ5JyoercOHFzg+jkV ld4+x6669vxzSl9P+aZqjIrYnF7cd8leGb/bdhbsXXD6CXVv0r5vztxKUX7Z TZzXuXlKPIU+8R/rMfoS/+nsY3/qsH9Z59gjYRI/Zgx3yvp1Rahqufrcg9Bd RmV358lFu4gnasSa5XUbp2nx6BWHUamZh1NlP2a97ln0UsLo6MeGxrdWdzH0 2dO2TNGZ3pWKa+zc4GSFES+DhD0aZLU5dTdYmP2Z/kp9b73x7akHIg/pGT/u eLi/8M8RHRakrr8jnBBx+/bqb+4Ks17A7N/071ajxcQqFjdEblPjVK1Fg68J p9z9zrXuUE/hKN9e9YeeOiPMfJB40vR8t5fY6Ha30CltfO5xMFqEXZX5I/Gj SZ6dPCxg+uEbwqML/hy5M9dH2ku8aJL/aj/fz+LuPe39n/VO2boxQNpLfGiS H3DqYezxUptvz0YFJQ36ELfTXuJBk3xWccfof1k8Fj5dKSqhzpkwaS/xn0ne 8/qoyPCKz4S/fT49a0Z0hLSXeM8k39jy4sTeW7X5fOLqvCk/jtPiPfZnuzHu 6yKvPJHxPPW+YVpypSBhxgvty7hX/nrq+gCRj6s5+Buzx7eEef+09wyvdK7Y 1Zsi9z+cv+zWOHdh4hnaL6r33cDvc87JfHrf7X3E+o53hPGX9Rr/RiTfHl/5 iLYeLZ6yZnKtedp6RP9e6zsMXeTkK/15RX3R7esHQcKsb7Sv+NnJVcd/fPjR /ye+5P/d976flO8rbb9JtnVJK1IoUVk7HXCM7fRA4lHncLNZ9uXuq2rjloz8 5fcE6Y/9AP0Wex6Ojb2grZd9a7lOTF2fLO3ZL5Dvn/k0wadDivqpcXu1f/Ru VcvLsXWRsanqVSP7k/Mf3ZV4kfi3onn7ZXP8EpRXuXZT490N6qc2LZc8nZWs rF+sP3F9ppecT4lHj0SHbZ/hmSzv6+tt5fPXyp+syrheafvc4prEq3u63ouo 3GuLzN9zq1u2mF5xgXBczyJjE9Mfq132gc2dhsWqlmWape6uG6hWzqwa4ewY rzzsqmUFb7mldi68Z/m+ZpJKKD//Sqt9D5XnS5tbBuNziU++DYxvnPDDeQPx K0z8ChO/wujfruobVb7+BtGH0YfRh2udTO0Y7v1U4tmvzhl61sqJEr6/ZXlO WKnnwuOnfn/EpV6i8Of25fp065AqHLw9dYGZe7pwzRX2j0LPZwpPmX6uwbmb 2cLXR1Zassn/pXBJh/lPxoe9Fh78bXTjrnE5wieadV5eM+udcG6NY09zc3M/ ykexf+MfjH8w/sH4B+MfjH8w/sH4B+MfjH8w/sH4B+MfjH+Mf/yD8Q/GPxj/ YPyD8Q/GPxj/YPyD8Q/GPxj/YPzT5wOZr/gL4y+MvzD+wvgL4y+MvzD+wvgL 4y+MvzD+wvgL4y/M+fB0b8uH1Vqkif8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+P/6GsHyrrMTRf/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/G fxj/YfyH8R/G/yoN6/T57HqG+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D +A/jP4z/MP4Huh7bPL1glvgP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP 4z+M/zD+ryjUKCi+W7b4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/ jP8w/red6lnaaf0L8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/ 4ahbjq+6pUZ89D2G88CCQzUO5itkFHmVpYk/nK8SL3xp2Kn3E2yShRvsvRxc 6nCa8JwNltYpnhnCvvOXLrpzJUu44sT4kAM+L4THDOzRaMHDV8Lne5xc6hj1 Rrhwm7JhNilvhftaz2xS6s17YfyDOa/ov5dxPpB8qYmJxzkPMD4kn2TKJ3zx eXR2/9A04ZvTR37tWzVDeEZM/NS2wzOFG/4w/rTHkSzh6MtpmdWTs4X14wv7 GV8w4wtmfMGML5jxBTO+YMYXzPiCGV8w4wtmfOmfN/EUz5N4A3/Zf2H2I5j1 GWa9gpm/j66tTi5wMVQNXztig7ObUfL3nJ/4nlcsc8Gawv6pcl4jv895jPwU 5+3mobtGezi5yXkFJl81qVpYE8t2p4TXTVs4vkqLfQbyAbSHOe9w/kcOI+f/ w/QPYz/Pl/nLfGX8wDwfvncyv5kPrG8w30/5vkN74n++n/J9FaY99nAemrbH 3tUrIFz+P+dt/XnzP/2+gn9/9D2E+YKc+QIzX2DmC8x8gZkvMPMFZr7AzBeY +QIzX2DWK/g//Z4zJ8fBp8r/4XtOgFeopfdrDwPs227R+qDfDxm6q6ZHrNdE SP5lpt2SLqN7Rf5h/j++ck7v6P0xIi/XyDa76hij8PK31/O5XowTPlOszL6H C+OFrUJXHbcLTBK2TwrtuXZHsnCU01H3xdPShGcYH7zbG6JxY9ti5oMWZgjf Dvq699wYjRe0mjyg5dos4fI3d/zWL01jv3rBHmV3vBAeeeqdWbO3Glep2KJQ +oFXwmf3DelbvPBr4XEWv/zo6/FG2HzT7+4JpXOEL70yO3340lvh3gvrmntX fSdcNG54kcW33wvvm7R2wN76ucJ/9/tJXt8/eP+tbUqV2388TTgq/FRQicLp wmn7tjiUzdR4q23zMottM4QPFa+wdXnzTGHbC1722Rs0HjBnV/Dr2VnCZrXa uvwUrHGJ+Kplx13NFj676VrA4wovhNn/YNY7fb5f/71E/32k2c2Ya5dmaPk2 9p9x61t3bZlfy/fp9x++D0g+27QfyfdF034Esx/B7Ed5fY/Qf5/R5xf1+b68 vsfgj+xPJnu+WBbWcc6yM8K7e+fb5t9vp+H/9+8f7E+stw7X28VUWvtM5uPO htveF9oepa0vpviX9rdU3O5OA6NF3qLYoGNXTsRq64kpPqb9iCoe3XOmPRf5 o8Ra/abdStDWD1P8TPsC76a/Ork2UeTTfFLMrcNThImvab83VB0cdTBV5Kt6 h/abPDtd+35mir9pX+1pgaPrn2nykI7qhO3yTGHic9pP8v0pd0yCJq/TdP9n dVyyhYnfaX/l4t0+373Q5M7VCzkV+PWlMPE97b841sjNMr+2/nqXHOv57Ddt /SX+l/oIV5f874pp63GZfPcLe53V1mPOB7R3W/myX0gFbX0entZk0Jbr2vrM +YH2b2Y4njhlpa3Xp8O3npnkp63X/+n3B84HzL9ldTNOPxqh8dakQJswu3Rp z/lB1uut07K6/qatP7b9+zr33JIh7TlfyPqd/3XTSymavpn3kzNXH2dKe84f sp5PnDOlYVONzzYZmN2kSra053yC3Cks13PPdI3H/BrZ7ODQF/L9lvmV1/cR p0tz7TaUfqpy61jtPxsQo/7s9wv992X99wz99xfsjZhv93J0US0/SfxJPAgT D8LEgzDxIEw8CBMPwsSDMPEgTDwIEw/C2Mt+iL0w9sLYC2MvjL0w9sLYC2Mv jL0w9sLEp9RXEL/CxDsw8TxM/A7TH/UZ9AfTH0x/MP3B9Ed9B/3B9AfTH0x/ MP1RH0J/MP3B9AfTH0x/1JfQH0x/MP3B9AfTH/Up9AfTH0x/MP3B9Ed9C/3B 9AfTH4w+9TDow+jD6MPEB5z3OD/CnB9hzo+w1GOZzlfow+jD6MPos76hD6MP ow+jT3yKPow+jD6MPvEr+jD6MPow+sS36MPow7Qn/iUeIt6E9fXusNST6uvh TfUnkp8zySU/YWLiNZjxKPX35CdN/dE/9SrIYeTUpyCHkVOPAlNvAlNPAku9 r8le5MTbkh8zxcswzxeW+m8TS/23Tk58Qf/ED/QP0z/xAv7K93sT69dv/fvS r+fIJX9kYuar/v2gT39yv8Ykh5HL/RmTHEYu92NMchg56x/M+gWzHvG+YOT6 +yo8f+YHjJznzftgvqwyrN3/TXakor6ceu/0Xp1/j5uUoUKOp78une9DXGmq RyZfSb0b8RX5TerHu1tYGC1LZ4pcf/8CffonX0n//D/ynzD5U5j4DSY/CJP/ g8k3wuT/YJ4HzHmJ9QRmPHI+Qg4j5zyEHJb8qen8I+djEyPnvIMcRs75BjmM nPMMchg55xfkMHLOK8hh5JxPkMPIGb+sV6yPMO+f+xYw9y3QZ31DH6Y99y1Y n1nvmO8w75v7ETD3I9gPaA8z3xiPjF/Go/4+A/kx1kepXzPNB/39HvLV7Ddy v8LE/H/GO/+P8Q7jP+0Z/8gZ/3p7OS/K/Snq3Uz2kT+HuU+BPvk99KW+zdSe 7xlyH8f0/QN98oHoS37Q1F7qc03M9xJZn3T3MYinpH7XFB/BUp9sYn28w/rH +GN9Zn3gfg72E79wXyWyUf6RbValyX7HfggTv3A/ZuuupQdP+GnxDe25D9M6 9sZSZ+t0FXV108+uP0fL/sh+SP6J/Q9m/9N/n4CZTzDnOfjLFm187g/R9kfO d8g538Gc72DOdzDnO5jzHcz5DuZ8B3O+gznfyf97W+67xCvafj2pZenEM2e0 /Tm/Y//rbt8aPzrfWC3ym3yp2jM1fHK5+eXWRCr9fdJ/6r4M76PM/WDvjlO0 /goFTe9pOTlNvfc/WvRQxSDZr/n/HTxqlby7TYt/7fu6fDHiaKZySaiUkJsT qeLa+NhG7I5QWfZOddLcAw1Nxo8d4Xg6Q93ta3vMoWuMmrXkuEvDzw4aKu1N 2zz7c6OyWt7Rf3oR7f7BX71vM6TZNJ/WG4zKq9WSHu/PafI/un9jmVFrcqtb RjUo8Ku69tM1+R/dx9lWt/hvjXcY1Z6z/odnFdTkf3Q/p2KDz29+lxSjuu3o c7WlW7BaXWTJRednMcrZ1ar8+lyt/R/d39l5ybJYnWoxKnZwzBnra1r99l+9 z9PlfXhUjbFREn9vO7ZsmffJCOW+u1Bn5Rilyjl7+DdsFqFuzLNe0Cr70/0f /f2fvO77/N37Ov3vhUx573hO1t96GYemtJp931AvMmvV+qYZKuDA5zvsWoUY elUPc3XqlKmCNoUff9pdO8+kudq7L+3wWM4zv1it7Tzvlxgt3vub93s4T5Sv 0bCElbk2ftn/Ktf32TR+wr/th3nc/2F/C3HZu7ZFMW28/tF9IP39n7zu+4wp 3L3S1ds3Zb9jv+xcsZZhRqF0OY+4XI8+1K1+plr54GTi7WJGFRmZ7Lgsfrtq 4W79cLyDUX1xPnuA5wh3pZ7dbdKqYJQqH3t4V80NEerQlbk5nsYLhqkN+r2c lJGm7qRETDLzjVbkextZnu52rHq06rL/TfVX25/meb+o2apk16Ybn6n9jp3y TTGPUbsqPIj9MnGvoXvPDZse9UlT/l/Y7Ezb9ruh8bB0y3Wr01XzgSMf5+8Q K/+vwrNOt0IfGYXzuo+U132j0oE7Fy0s+nH+4o/uH32zuuD+2r9o+YYis8f/ vOW3D+PlZWfLsasuq7oFLSrtPGtUId83c/Nad1VFrZ58quItLf9wcb2XddwN o7rUrdCBxbXvKOOWoSt8Puyn5+b1XfLZbh8VMKH2ixartHzE3O719xWb++H/ fT4szrvHAzWyYm7Le3ZG5VDdeMEiPkDincpdIj+Prp6hzjcuWcG7TIycF+5G Wh3t4hatTt+vWLNjzGnDwnIlgj2DPpxr1/nfbDPc0+BxevYBr9kx6lCHOtHj Ml0N+M9+r78/91mvtG3lzrnJ87e0C5l2qMyhj94H982I7+lv1b7PUxqMvqi1 319u/kivK8Jv1lXasWfNLeFF67bYmcf8rv7q/SXie/7/le5Wv00u7Sf92dge yyh26b7w+SWVD13ODhSet+TJwomWGhP/S/w2bF/DWi0eidxhmLHX1GIhwlnt 3XPrWYUJe7UfExpmF6r03yOl3qVakxUuo8JF3nVDy4eTqkQI75i/29q2XpTw 7Nw5Fa2uRgpzfqa/n+4dqXwu+rnIl/bwafSsR5xwcOuGyy70TxA+d6no1E2p 8cLx12ZuuDrRqLznfrlgQEdP+V5J/5+5TfIZn5Mo7WtYbwrbPCJJeEqlF00m TU4R7rMzqFrXQhpzXqe/Xt/uarXJIk3kgz9zv3mwrcaF3z2b6NIpXRsvrf1i 5xfXmPM9/e1pZrZpfNkMkXtklai0sJvG/ZI6eE+wyxTuYt2kjWMljckH0F9a jeFxXSyzRG4WM3Wyk4PGR0IPfdnNKVt4e6WtLja1NSZ/QH9tS99uW7PBC5H3 DAy51Xyoxi98ikyxGvVSOLbIm/iSTTUm30B/6/Jbb8n95pXId19vXaX0BI2/ 85pwx2zqa238v/mxXXJbjclP0F9Y+vrEJ53eiDzp5J6pKTM13nw0oGrY/Bzh JfHXtt7upjH5DPqzjsxsf9burchb7zW/e2epxjHbbZzPrX4nHBRilbzfQWPy H/Q3x7/v9o1O70W+asMoy4MbNW6ywtV307Zc4Zq3V3acP1TjP3u/8dS1ERVT bhqVYfeMVR3L3/zT9x1XdA5Jfvhhv7gWnHSjSc69P33/0fzeuyGFn8dIfmd/ i4npT9d8OAcFXtibduXP349cNLWrxYKwaMn39C+YEpXePEa1bl+sxTmHx+qH 5YPuDe0Rra6unlqodv6nanqlYSvjD0WrBTFLekWdCv3H71f2LLDN6OwSIfma Vs+D42+aRSirGmWTSjT5dP/y796/fPHr7v37zJ7+5fuY/+37lvfKXTg/re5w w6tYmwJ1CqapnpOezogd/8DwZHp4A/uxGcqs2PjQrBF+hoH+iQ0XWGr5c+Zz qxKH/C41jpZ80u78c70M+cIlX0c+ssS8Do18Poxrv+xhfZtc3Sb5JeLDDPfi 64bW0L6vtTxhmNvpaIaKDdo93LjjgeSvLHyn7nnc2qg2jO83subyQNWiaZ8b X22OUv4qe86QyeGq6cxTbpUcI9WA5NXZbvMj1b/Myi8cNPSkoWjplr4uB9LU jNzl60pmBBsC9zwadu1thvpXTo1qvV7fMWRNOH3ixcN01S7GdvJNdc0w75eE 0hOVdl+H/BT5D5j8B0z+AyYfo89vcX6iP5j+9Pc1YfqDyW/p81kw+SyYfBZM PgsmnwWTz4LJZ8Hks2DyWTD5LBh7OR9iL4y9MPbC2AtjL4y9MPbC2AtjL4y9 MPZyfsVeGHth7IWxF8ZeGHth7IWxF8ZeGHth7OV8jb0w9sLYC2MvjL0w9sLY C2MvjL0w9sLYy/kee2HshbEXxl4Ye2HshbEXxl4Ye2HshbGX9Q57YeyFsRfG Xhh7YeyFsRfGXhh7YezV15OQH8F+GPth7IexH8Z+GPth7IexH8Z+GPth7Iex n/0E+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Ff//uK+voPff4bpr3Uf5jymdQ/ ow+jD6MPo0+9NPow+jD6MPrUi6MPow+jD5Pf0H9vJr/B+RbmfCq/H2Q6X8Kc D2HOdzDnM5jzFcz5COZ8A/P+9PUUxP8w8TtMPM54lXoUU76BeJr4Vl+/QH6V 56m/30b8AOv3f+xlPsDMB5j5ADMfYOYDzHyAmQ8w8wFmPuifn/w+qolZn3g+ +vlCvprnxfyps7uPXWrRWMXvS/J9ku+JxKd8z+T7pr6+g/Z8j+R7Jf1TL4E9 Ui9s0icepb2MV5Oc/uT+pil/JvcJTYw+vydJe87HtIdpz+9H0p7zMO1h2vN7 kZzHGG8w6w3vg/nKeIZ5vty/4/yFHJb7d6bzk9y/MzFyzkvIYX29Bey89sIh n/Jx8n6851R+d7BmgjD+8nudZcYttF/YOEnkwx2NR51apwj3P1jT7MuaacL5 fnE4ZlEvXfjI5hUOLxtlCNut8cpn/DpT+NXiJLeAVlnCe2ZX6Xe1fbbwd1Ps Chzv/EI4Zcyi4zt7vBTeOvR0/5X2r4TbDog1n97/tXDMD+U9hg96I7ymazfH XiNyhJu1n1Ow3di3wmHfHD/ZYPI74cWNI5wqTX8vXL9OqcIWc3M/el78PinM 743yvvm9T+Yv6xnM/KU9843+YMYr+jD6vF/a835h9gv0YfR537TnfcPsL+jD 6DMeaM94kPXDtB9JPsXE6DNeaM94gdm/0IfRZzzRnvEEs9+hD6PPeKM94w1m f0QfRp/xSHvGI8x+ij6MPuOV9oxXmP0XfRh9xjPtGc8w+zX6MPqMd9oz3vXr P+s5v+/Kek79Csz+w3rJfiD3QUz96esDDxl8zB3PZIo+90HQl/shpvZmzmtq bu6rsaN1z073XmeJPvdD0Jf7Ivy+blTx4QV3aVxix4PFqq12X4R4jPnJegrr f+9V7uOZWO7jmVju45mYeJH5TLzEfgSzHlAfx/7C+2S/1v/eL/VHxJ88f+o7 ef7EUzxfGHvJR+l/D5j3hf3kK1iP2E+Qkx9AzvqJnPM4ctZT4jvsZ7xhP/qc j9HnebFf4x/PA8YfxhPt8Z/xjlx/P/xTPdb/3Xqs/9fvz//T9V153a/Pq/5L X7+lr8/S11/lVV+lr5/6s/VPef0ewKf7///s/f+/ez//z9ZP5XWfX19f9d++ 38/6zn6vrzfR13Pp67H09Vf6+qpqNqXUvH/73qO/762vP9Pf182rnkr/+wD6 +qo/+3sBf7ceK696nLzqtfT33fX3k/9qPRb3lfX1Vfr7zf/T66n+7O8r/N36 q/92vdSn+qdP9U+f6p8+1T/9Uf2Tvp5JX5+UV73R360fyqu+59Pvr3z6/ZV/ //0V9lvi2bzqg/6n/V5KXvVK/3S9kb7eXv/7NHnVI8nvcx1z9FqSPcWgr+fX /56Svn7pfwENyqCS "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdsl1UUxu+lUOiAYlvaArWDtn9oochSEJkKKk6KoEVFEauCA3CDiixR vrnj3nvEPeKI+7N770UccSSOaDSO58n5NemHX+59zx3vuc8597xv84o1i1b3 Syn9J4rEfmKaaBcHiN1FhzhYTBfjxNXiHTFfFIssvMcxYrmoFqViAOMDGff+ ZX1sS8RiMUgMESWsWyq6RbmoFIMZr2Dce1T1sdWInZjbJRaK/mKZOFIMFbWM e90IMYx1I2k9fpzoEXViLWONYpVYKerFLqJZtIo2+qPEFDFZtIgLxK6iINaL dcwdi66Zc1Rwhmlo3A89ytAno9UAxgbyvJB+EWOlaFfM2lL0q+C5hPcMJp7j WDuJcxQYq0THFs4yiuca9KpEpxp0reIdy7FX4XM7/vagYS3rrftwcbLYmb51 bmBsJXp7zUwxAR9miYn4tYcYj+7N6NqKxgX6vXEdwTna2GcbsZmKfx3ocKBY QHyK0Mf5M0N09nnXePaZkyIPWnmegG97oqn92DtFTtg+T8zFl71S5MYY5s5h n4vwq8B+s1jbQcx6/ZqOb51o0YwvM/r4OBO/hhCTSvSbzZ6OzzQ08Hu38+7J +Gm99sVX+3l8irtRx5nmMdd+HdTHr/n4Npvzt7CH99otxX0/LMW9dv46jwfR dtE/lHnunycWsafHD8FuFrNHGf1y2iX0t4p9RJPYwL6D2K+LPa3B/mjs2C9A G6/vZu/lKeqaz+66dESKenI4z+U8+z74LpzPmO0bxVF9xl2PqrEtw96Dtq4t I3muZ/xo5vdHoyLe0c3aavxzjGvp288V+FzNcw/jth2LbRPzPMf30XelAY03 oNV8YuD3n5nifjbRrqJfz7N9PxF7r81rGtnb7/B938I8zzkFewOtn10X1tBv YN+17HEq/UbGVzN/LWMNtKfRty8n4efpjDWy7gzWno2fTbRnMcd3wDWl9266 P5p2Pf1z6HvuXJ7bsJ3LHOfLRuLl3Hd+lBPbTei/OcUdqyM+m+m7TrimFDjH Vvy03XXMd3Mq/QLtNuzr8Nt259cJaL4d+2hsW7BfYq1z1I5rxZ8pcqFEtjuI 2QOiModGn4mPUtyxWtkeSVGH7hMVOWJwj8+aiZPaJ1PUoTtFaY4zVat9OEXd GqH+4ynq32T1X0tRS6ao/wYaO/eXoudLPkeO2jJJ7VVqLxSXsd5rL2e9107M Mc9zbhcDc2jwtGOeox5f6tzJUX9fcPxz6N2udkeKdz3BeXwWn+lLzvWsx3PU yFtF/xzxvFH8Sy7cLT5NUb/fF1cQi7etX454vszzVM73Iu99BT/c/0R8nKit sj2T4r3293ly5ANxJfng8z2V4oxt6r9Jbr0rLk7xLdmBpt5/guaMy5FPz4mW HDnts37FeW8WOUcuN6l9PcX37GtiYP3rZH81xfepJkeeOcfqc2htnceo/1aK b8Vj5IFzwHXNddN35HNxF7r9IH5MUbuLNfe2FPfnQ/EFOfloirx0Tv4ufkvx DztUtvtT1IMi9W9JUQf/Etel+E5Yj2E5NPlDXJPiu1El24MpasbP4qcU/8i/ iF9TfAs7csTVMfWZCjnONVjtvSlq2/Xi7xT1wD9MN6X4JjgmzTniYi2H59Dz e/Fdin9za/keejomY4nLQynuku+R4zae2P0jbkjxTerMkRPOh2/Etym+ef8D YRHiIw== "]], Polygon[CompressedData[" 1:eJwt1HdsTlEYx/Fzq/YmhJB6K0G9lFbsvUetqCAIooLQaGMHpVohNf9BbWrv PWKP2CviDyS2EHvvzfeX8/zxyXPPPfc9773PeZ4TnZSamBLhnOuNSBQNnJtD jMIoHMRR1EZbHEE2Wtu993iGDuiMQvx+O3EMUuzZ+Whhv3mKl0hAVRTn+R3E cRiLEoznEivYvTuYhxDa4R9yMAD98AgPEWvzbzELDdAJLzAT9e0/87H+BmIy huEiHPf6E9JxDBUZTyBOxGXkYTyEmIEL+IM+mIJz+IZEpOE8fqInJuMzZqMh uuIScrFeEnEqfmMl+toe5GZuHXEoBuMK8nNvODET12xPtBfNUJC5zZbrESjC eKvt3Ui8wjvLRRgRzK8hDsJAbMRNNLIcKvfFeGa07cEC1GGcRayCq7htuZ7m fK0UZj7V+Zo5i8VoY9+8xd5R76ZnanAdixiup+MDvlhuquOX5Vi57YUbluM0 W/MEKvH7lnovVOM6HPh3m4TvtgfKfXfsRmnmm+i/sQdlGDcm1sR9PLDv0fef QgzzrYh1rRaO29qqif0oz72mxDgcQohxc2Itrcl1XOC/rR4KBD5nylWy5fK0 zWVZbcRzb4blK2/g9zzTaiAy8DWYYXv21/maTbeaue58zapW1WNB4GtMtaUe +WQ5Vm674C7O2Le1xwrna1C1p5pe5XyPqbfUE2VZb6/lSt94C5ssV8qheus1 OjrfYzud72n18ng8xhPnazUez50/A9T7OjMq8+xJ20vlPJrxYcul9viN8zUc tv/4geVWGz2wzfmaV62rZr9iqe19N5RibpftvWp8iT2jOfXsMltTa6ln1zrf g+o99fwi52tae6M90tny0XKpM2a18z2lXlJPl+N6n9WGai6K8QH7dtXMeufP IJ096mmdbSUDn6sQFuKe7Y165D+A/aM9 "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHe0VsUVxd8cE8XejQgsNSv2GksCNkQ6iMKjKE9UpFdFLCAiHQEBERAR eEgTniBFfSK9idhiRdSYGEtsYO8tRj17nd9d8/44a9+Ze2dmnzNzzp7vO7rT daXXWklJyY5UUrKbYw1v/MntYm/v41jb8Ty3g/35QsdL3CrdnnDb6nao9x/i 9k9/3s+xjuP5bnv6czW3c/z50hRj67m1dWvk1titldtFbvXdWvJe7VL6Gri1 cWvImNb0qd2OOZq4XQY2dbscbOZ2OL584M+HObZwvMKtQ4pn+XIlKI5XgeLS njmau11Nn/heAz9x6Qw/+dSJPrW70CeOHRmnMV3pE99uoPiOdxvkdqtbd/q0 fi+3Mjj3rsK9DyjufUFxvxYU3+tArX+LWw+3nm796JMf/eEtP26Etzhez3u9 u4k+8d3JPAPdbqavO7x7wXEC7cFYb/jeBorvEFB8h4LiOwwUx+GguIwAxXck eIPbKFDcR4PiezsojmPdBsB5HKh43AEq7h8SZ8VnIrzF9wW3DW4bsWVuy93u grf43g0ncZmEb3o3Fd56N5lv5dMUUO+mMU7cZ8FJZ+ETtzFu093u4b18upd+ +TQTfzRmBn1qlzOH9mE2KJ/uA+90mwtX+TEPFMf5oDguAOXH/aB8ncMcGr+Q PvnxKXwr3BbDVbweoF/tJfSJ+yLGyb8H6VMMloLlxLscP5aD8mMFKC4PgfLp YVA+PQLKp0pQPj0KyqeVoPx4DBSvz/BjldtqnuXHGlD+rQXl0zpQfqwH5ccG UH7onCrPlGOb8Ed+bAblxxZQfjwOyo+tYFF3K/FjGyg/ngTlx+dwf8rt6Sp+ PAPKj2dB+fEPUH48B8qP58EN7LlyYkgVTuKo/FHeKP8/TpFrOqPb8UffvAJq TFELlGM76JNPr4Ly6Vu3N1NowGv0yT/pi7RImvSl2+tudVPo1LmOf3f7yu2N FHrzjdu/U2jK127/SqEx37u9lUJHCs1QLf7B7e0UWvOj2zspNOZnt//y7f/c 3kuhDdK9g9EVrSftuIQ1WtLW2q1oy59S2tKx1rTFow1trd2WttZuR7vQObWl q9JYaW1vYqma+53bf5j7J7d3GVfG/vRMWfM6wEkaIc1QvVeN7ZeyFuq7Qnt6 wbsjY0oZ05H4SQe64UMn3n2Uorb2gLd0pEvK+le0VbdvoE81W7V7Vwq9GZCy nhX6JuzL2v141wKfroCr4jEoZY3sA6/++FnoqHzTHUH3gzK4ShcGEq9BtLvC S1w7w7c/56A9MShq6LyUdU5nvaizc1PWuaEp69ywlHVueMo6NyJlnRvJXMrD iSlr3ihipPo/JmVtG5eyFo7Gj/G8G8wchVZP4J34TmKNofCexDvV4VnwUM2f mrKeTWYN1XLV9JdT1LUt8JvGmBGMm4LPk1lDvKUP0+GndWamrGHl+DeD7wo9 m42fM3lXaPxYfJjDd8U9o/BvLu8KbVsAv4W0xXcRbXFSza9g7cW0tabq/JKU devBlHVracq6tSxl3Vqesm6tSFm31C50S+1Ct9R+McX9Y1PKGlaZsmZsTlmT 1sBVdX5Vypq0LmVdn5+ybq1NWdtWp6yFK1PWsPUpa5U4vARuxreNfFfo1hb8 3MS7QmvFW7VMOd+ZPVsC99qef534HbERn1+ost6LrPcy7V9S3OuVs7tbtIta I1Tu/sGiBqlPtVw1sQn8tjOX6rpqejPG/cKcqj3/Z2yhYdvxU7wKbRRKM5sy l+aRXkm3XmW9d3mvOi/dacR30pHmvP+Zbwot3JGyTj+TsjZLq7fy/hX2WBr/ VMpa/mzKev8067zPWtLoX1PUDN3ZSizOuLRReim9kmZKg6VXX6S4T2h+6ap0 VPom7ZXWSvd2s9BjabH053t8bej9syw01SzuVeJ7kj/PsdDY4h4jvxt7330W e5Us+FXAVfuh/N7DYl92wkvzas7PGFPBvmnvtXcfcT4+xO8/WsynO/ZvKWqP +IlLY/bnB/ZI3+5iff2OrcbvW8VM4xU33VOkuw2Y72PmPNG/KbeYS/O+w1mo aRG7C3muZRE33Wl0j9EdZl+LZ9119re490jvhfvTr9/Xe7tdkCJnDuEeor4D 6a/DmNrE4CDyRN/p3qK7gNavyT1Ga+7LXaoWv+vr4vcBcJBWHs7/A9UdjyBn P+BdGXPX5P8CtaWt0uW9LHifQ191OB/B88X4cSjrvk6M6jJ3DXS6Bt8Xc9Rg bAPOX0PmqYVfFfLVIg+miJfFvg11vJWYjnYbjp8H8N/FBZyDt9nDXZy/nVXy pD57+QZ5cbv2kD2uTmxa8N2bcKxHvmmOcYqHxfgJ2luLd4Mcb2Y/jnYbBZ+W FrVS885zbGZRP+5XDCxqkHKoCXmk/GtEDlYj/prnbMebOEPb3Lpb5Me9jg0s 8uAJx67k2zTHiyziO0lzWPh/suN8i9p6guMMi/zf6Phni7pwp+OxFvVlvOMx FnVksuNxFrXmbsfjLXLpEcf2Fvm/1LGtRV6tcLyM3Hvc8QyLPVnseJpFjRvr +BeL2rRS586iNqx2vNKiZlztuNaitpVZrKe1LrdYQ/NfZTFG33ewmEvzyKcx +NXRcZ1Fvh3lNoQcOdLxFos83eL4V4s6tN5xg0UeLnFrZZE3My3qhWrFQ449 LGrJIsdTLfRpgeMpFjpxuuOZnPlKx54WNUl9l9L/mGMvi5q4xq23Ra3s69bH omYvc+vGvvfjnOls/M3iHOsM6wwO5BzOtdhv7fVsizquujnAcZhF3bjR8SyL XFdu3WaRX4Mt4qKYKM9GWuTZCGKnuE23OEM6P6XESPHRbyHdF3R/V2yWEx+d l3s4M+da5I9yp7VF3BXzOhY5pvw63+Ls6tzK7234rvg9TAwVs0eJm87pRM5q XYvaoRzWvnWG2zUWZ13nQTFeRZy7WOSPcqf4fS6d034+wJ42tchh5a/yYKpF LrSzOPc689rzhey7cuguizxqYVHXVNPqW+StcraNRW4oL+pZ5K1ytrlFjVB9 UH7cYZEjvwMxS+GL "]], Polygon[CompressedData[" 1:eJwt0/1Pj2EUx/H7OpKVNdVms36wmX8gLZr0iOQhsshjWo/ziyQPEys2MsYy pjFWy1iWWVbLWGS1+SMUUom1JCWiRLzPzvXDa+dz3fe+93Xf5zrfZUXlOYcl CIJUhOARixx8ckHwB9XkKiSRF1FP4TQi/LVj1JVYiDAUoQuL0cP9SupJrHH2 mzTUYYr1OySRr+I7+Q12k1vxjzyK8+RzSCZHUjegAdOs+7GZfB+/yYM4SC7H fMyxXk+9g1/k9ygl6weH4C/rROoVTJJ7cZOcjj5n77iWfAs/nV07Qz4r1gt9 p2ta8dbZN8SRj2IBRpzlEr+XXluBCoRimGvF1G4s8T0/RC3EBHkeNQXX8cPZ HjXkC2K9SGH9irrd9zqGuhTHEY5ErmVRH2CW/MHZXrHIcrbnDaSKnYXu8YJ8 xD87irofT+Ew5uzdOxHtv2Ev2nWA8IX7tXrWYmepPdVZWK57OJuJEygQe7bO TAIu4Rv3X+MAuQOCr6xfis2kzmK0f1aZWG/0mfeom8TOfgZN5C1i36ozkS3W oxj/zTobO/3Z6Ixsw0N8ZD2EXHKLn53PzmZlhz8rnZnLWC02K/rOF8mrxN5d zyxe7D8R5s+gDXvEZll79Bi7xJ6tM95IzsSAs5m+TV4nNqs6c0/I+3xv9Qye I9/3Zhz15Ayx/4LOeDN5q9i36Jk/I+f5s9OebsRdsV7pnv8BaCuHPg== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm812MW/nXPaaOVNtFml2xlSTVRDBMjZF8jSxKVSCqTpWQtxYQi69Dg wzAMwzDMoG57EkKRRLndSm7LTZvn8Ty/j/vHued8v9/znvd9z3nOcn9t+gzs NaCkUCiUVisUAvwN/LkxC4VFeNkc8jTwj0G9IU8HXwC6FHIp+CegyyDPAF8I uhByF1Br0BWgmXj3KehiyHuC2oD6gmbh3Weg/pDnlGivgZDngX8JOhtyR9Ae oHV4XgUqB52L506gFqDzQZ1BrUD9QLPx/XPQtZDngn8Bagl5Mfi3Xv8DaAVo Oehr0Deg782XgvYO6Rb1KC/zOWmbe3wHWuL1ZbZFGyuty+8/mvPbatvi9zXm /L7WnDb2D93xJ9C+of1X2d5i73cd3s8H/8p3pM/ou599N+5zQMjGBtBG26P/ NplTt9K8AnQT9IeC1kNuG1r3C2gU5NtB1UFbqtjbZlu0MdLfdoBGQB4e+l7h s/CuNfGuBBSgWuYJ2mp7tLUznmuEdOuYU/dkUAdQU1CDkB6/PwCaAKoL2hVU D1Qf1MicujeArg/5mO928nra2sXrxoHGgmqDngM9YxvENjE+3dgmxkuNT2KK 2CK2iXfintgjlmc5R5grzBninNhnDhwfijHjUc/77+IzNfC5OxrXjHcn45px 7+x8It66OIeIV+bT7iHcLjZWitgtN36WGIfLqmB9ufVWWLeIV+JyTCieW6xX 5m/7hOTvjfvlXrfCsS6vgu/VVXC2yedYZyyW+9s661X4mbGq8HrGYiqoGWg/ x7DM6zcai8X8WVMF38VvW4xhPm/1816hsy+17jZ/I4a3W595UOkztTOW+Xxg 6Pt2+3Gl7028F4zlk8APNbbPAJ0OOszYr2l8F3OgpnOrlvVrGAc7GYNNjY9i PhS/1TfWJxgzdargnvqHgA7ynhP9voFxRptNjPc63nuqcd/eebabdYiTNsbV qeBHGWdHh+rxYuOthfHZNVRniake4Af7rlzX3PlAvVbG8FngR/obn1t7zz+E 4sR9jw3VYuKTdY89gb3hmBAWGctuxkeZz7un13YP1dBVxjPjwzj9MVQfiZGH 7KOGoFNAJ4Zizr0Ge78S+zNMBztevHcn3/0Jr6v0Pbr4Lmk8sH4+ZR838p15 92n2R2f7gH7taN+2tK8pN3VsmtjeYbbJ2tjT33iuk3y200B/CmGVPjjWPqTP usXvvaa7/UP/HRfKpcG+/1fOl2PsZ/qM9Yv519Z+3OC8OCGUG/RTD/vpcZ+N Z/wb6HDjj/Hsapzw3H825trZ/8y3w72O+o+C7g/V557W7+A4n2pM0n8XhHx/ Saj+LnCdvCiEC9Zf1mvWatb03vY//X2O48na3de69OGZ9mNv2yWGuZ79gL3g 8pC80O/4zD7RJ9Q/KA8K9QxiiXg5LxTzK0PnYW/gXHFNaLYYEOrr7DGcM/r5 XORXh3oM7Q2yDv3Ryz6kL5g/S32Pq2yfvK/XzvF+s+2PK31+7sm9FznHuAd7 HG0fYfvznYf8PtdraI9n7++1xObpxifP28/3Wuv6zlrNXGDeNQ69Y5/m7DHE MnWJxyGW+e5G66x3ja5w3lHe7Po+Mn6v4Tf5/STwYV57T6heVwPdHJpXtvn9 vaH6cKK/8T2//8X6w2yTdm4J7bXDe/J5u3sJaw3PwvuzvjMfa1mubT7K8mjL 1Y2zA22H9m61PNl61LnNe3FfrrvDdrjnnX5/t+WC78D78lx8d5d17gvduZp1 x1h/uN9TfjhUHxv6/Qjrc7+xvhPzcpzfkY8PzWMk9if2mAaWG5o/YPlBy3WN l8m+42P+Vtd6E21jos9DzEzx+Rp6j7HW5/dHrEO8THK8uM9frU+fPeozj/d+ XMsaxb7LeePJELY2G2N8buczELus4U9bbuz9x9nOUK+tNM6p1977T/EZGnkv 9utnvXczcz6z/lU4X3h+6j5nnfaWiza4hnWSNZh1mfhn7WENYg0s9TNr3kf4 f65lKo6raCfVNx4Gn5zC93ugqak6/gj4NyHsT4L8Ycon39KHqf2+5t1S/eHv 4O+H+tCzKVu08zrkDSFs7ga5Ueoe1H0hpb8G9Hyqv70Mvi6E99W8Y2qu+ZF3 TvWZN8E3hbD8CuSfQ3nyFuTKEDZ3h/yu47g/z5iq6dNB81K1szV4qX37NORp qZyvB/5kKi/rgE9J+bgVdRz3vVJ61Pk/eIdU7JqBzwzNFPT3RyGfvwOalapt 34EeT+X8fuBNUvV7emoP2n+fZ0thel/wfVJz5Ryvof4e4CtC/Wom5Bmp3vs/ 0N6pejybmErNHW8xB1L9nb4sC/lzKOTrU7WcZ6zlc14L3i/VQxjzpcbZVZAv T/UP3mNZ6C5bQO+m8F4BejWVc5tBb6dybjD4gFR/uJm4S/We2+j7VG/7wfFg LOjXHc4LYm1JCG/b7CP6Zwz47an5ZT3otVS9O5cxT/Xvn0AvpWrr0eBzQzNX d8jzQzPXvZA/C81NBzE/UnPTHPC6qf6wawo3xExbxjA1K90J/kloxqEvh9if xFpj440YXxvC+YupODFGF0M+P5W3l4H3Ts0TG0FvpPrT/eBfhGY35m55KH9X glqk6uihjHlqpnsihV3i9r++A88f4EelZvN24G+H5rx/g25NzSr05Wj787c4 O9Yjwd8MzR6jUmuoz7jd4tgdAv6f0Kx5H+QaqRl0oX1E/7wKuig1I53Ac6Vm o8fAd07Nl924LvV7D2PVMRWvpuD/CM0670HeGuoHl6Ts0ubJ9HdqLqyWyk/i pwfzNf27EXin1O9MPO+41JnHg9dMzccDwV8PzU7E7CDjlj4YkfLDvyBfl5pz XoPcNzV3DUv9jsa5iDauSdn5J+Q+qbnrhtR6rl3k+DF2V6T0qMP86+8c/NS4 JCYZt3tSsfvc2CVu26dqDfN3IuTaqdn9LvDqqfn7SPAjUv+HXZ06N8/MXBzu fJznPKHPP3ae/PZbGujBVI8lTi81Vhc4H5gL3HOC92X+ne0cJBbuNh5KwGeE 5suXQW1SM/YrkM9J9a+zUt/4/kvnAPF/Bniv1G+KXemD1Bx/HHim/ne6IGWL dhjPsY5pT/BTUr9TNgf/IPW/xGnModT/DNtDvYp9ilg7L4U32u5i++yH7DHs L++A/xKaXZjHFzqX6e/j7XPi+iFj+1dKEbib "]], Polygon[CompressedData[" 1:eJwtlXmw1lMYx9/e8/xhzDS2qEG4lRaV1LRQaVFp03ZTSTJcSUMqRpSiTMkt uSpUri4xTGmxZ4+xtEhoUVH2rdCgxZKlfL7zPX983uf7nN95f79znuc5zykp G1s6plgoFGZAQDd+esKlqVA4HXqh+8Jl6DOgH3ogXI4ugfPRneESdG04Mfyi UvRF0Bb9JPZcGAyd8JdpPPk/s/C3Yc+EjnA0/kKYiH5Q4+g92AEwEIbib8HW 1bf1Xvx24XefCnXQH2BPgTawGxoydjG2PzRGNwl/S+/YAG9Ad+gDb+s94bmH CcxJ6Jrhb+md/2o+/nzsAlgLH+I/pr3DetiE/wS2FhyHfh3uQy+Cd+EF/JnY AhyPfjP8rip4C70BHkb3hmPQz8B0dCW8A0/h34E9UnSsi9AqOeaN0HWhR/Ke /4bX8Oclr6EHejm2XXKO++CvwLZPznFJOIaK3Wbe/xf2ZfwK7L36Pjrl5/2g FXoptjUMgvfw38f2Td7DSjg5PLdO8rN1uTY051ievRJ+90NwA/pGuBa9g+/f g96Brg8XwKcwJ6wbqqbQg8JrvSJ5L/3xh+c9DVFthp9tYc6AcA2rdjXnKPQu 7HjoAldqLmxl7gjFBD0s/N8yxTBco6rNm3Mt/IddmFwT6/HXhWtBY23QGxWD XI9dtVbsadBBZyac48pc48N1tsLf0ho2o08I19KSXGuHsS2Sa061Vg1aJtfc kVxDqh2NbUR/h20Ci5Nz31t7yjXQMXyGdXaHJJ/VDmGtM3sNehSMRG9jPdcp N2E9irFJ6MkwRrlhbDt2Nn6nnLPR6OvDc7fz/Fadbfik6P+MQ48NP1POx6Nv Cud+tGKMviWs9Z9nwzWjWrkTpqBvD397nMbQM1RD6F2MdQ/3NPWyoaq7cE9T L1MMNinv+OflnGyF8nBu6iX3qgvD/1XPGom+Gj4uOiZl6KvCtaKxqTqb4bXs xJ+OnhbWWtNc6Vy7XeHVcI9Qb5iTz+o/2PuTz2w9/Prh3tdcNYD+GXs29IT9 8LS+kdwjlqF/wZ4DveBx/B+xTaEZfA+PMjYJOxn+hFX4s5S35LMwTznIZ+JL WIA/Ibknq5ZqhXulamp1rjHV1iH2OB/9BboRdNM68ZtB5+QeP1Oxy7FVjfwO zzF2V3JPrEJ/jT1LcYca4TOwJNf8YvS32MbJPW4NvBReezWoUG1hGyR/cx+s YGxKcs9siW4d7lU6k6XhHqXepDvtJ52jcGwVs2/gkfBa9M2vYFF4b1rj5/BA OJfa81r0mvBabsux/iFrxbx6OAeKve4c9dZDOfcVOfafJfcW5WB1+I6oyjVR qd4TjvWEnPsD+SxMy3v9DTs1ec8rw3ea7jKNNcdvEe51itFeWBquFdXUr7A8 XGuqoRfDd5buqrtzrg5iy5Nz9nz4TtJdVJ5r6Y88VzXVHv+j5LtZZ+x/4jEG hw== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWXeY1dURfcDeeYCIKEqTFEJHehOkqqBiA6lGFBDQ2KKICIpYMAZj7xpr VFAwEBsaiWAghkgMRgNLXToIAktfylJ2yTnfOe+DPw5zf7fMvTN37pnZR53h d/S9vWwmk6mFf8pBrs/LZC5LmcwGyIsgF0MuB2pnM5mzgd3o247vtcA64El8 XwdcDEwClqBvJfAHtJdCFgCPoJ0PuQJ4Bu0hwCXAC8Aw4FJgLLAG41uBV9Ae DlwOvARcn3Sm54ChQC/gVWAEcAXwOjASuBJ4GJgILIOeP0FeBfQB3gRuAHoD Y4A7gWuBbXnal/YU2ib6YIcl/bAL2AhsAna6j98H8rSe/tjt8R+Bg+6jvr3A ZmALsMfj/K6OvesBdYFi70fdx4EiYD9QJmkP6jvic3Cfw57L70Peh+uPepz7 ZJJ0cP2EJJ2lwDGP81xlk3RTR57PQd2/QvssoBoQSXtTd0oa53elpD14xmzS OHX/hPYWoC9QI2neqUDFpP1p32a3K0CektSX8TzqK+u9K3r89KS9eZYqSWfl d2XPLQec4XGepR9QHqgKnObxPNtUwXrP9Bx+35sUd0W+l1N8bq6jb+iX2t6b Zznbeqv4/nhWrvuZx3mW/t7/F0Atn5Vr6nhvnuWXnsPvmra/suOiuv033Wua AY28N8/S0Hr5Xd9zqaOxx3mWbbQLGAg08DjXTPXeTYHJPuM5jpetjumPkuKg OTDTdrawn/bbV//0OdoAc71HayAfWAx0BBb43G2BEuAYsBMYDQwC2gMLfe52 wA6gELgaWA4sA7ok8Ql5ZYnPd8Dn6IH+bkB34EKgq7+PAp3dvwooAM5P4gZy ErmJfEVOyjdHkecW++0e9B7FjAHgwSSeI2+tMWdss7/IVeQhcgL5jFxF7iBv kcPIF+Qq8tMmc812rydvkZPIC+OSePCnPHETOXW1OanQazb77fINk0fJhWvN STtP4q0dXkO+JL+uM2ft8rzxSXG/z5y05yQO2+15NRxbjMdC8wT9UtExzxgu 47jle9lp/sjxWbHX7Pf7Pm69RzzvgDmOY3vMHzkOO+p59yfxV4l18U3yzZf6 HHy/X/iMLZP0khtyfEbJNQfNd9yPeskVyWfie6cu8ha5ibzA/cklnMfx6ra5 yBxWan2VbT/3OM3f1EseyHFVFY/RRzWsi3rP8Dyur+mxCvZrjp8oq9pHlXwW 6uK7r+W5fKfkiNm+r1bWSw7I8VZtr6nsddxvQBJP/dy21bWuM60vx0+U5Ajm T+ZSxiDXN/B+7wNTkjiEe/C9N/S9tLBe7t/YY+Qk8k6TJH5r6j3IOc2891Tr 477kAL7jzraxpe+b/NPa5yDPtPG+c+0Dnu3XSTzTAfgBuCuJe8gxfNOdkvit uW0nN5FDzkt694u9L3mLnNLN4+SaC6yX+sl1g5NqJvII+aaHz813R37g29qb 9K5zHEI+4fvt5vnUy7fKN7veXNHLfeTJtvYhdZFP+HZHQd7ic9yYlHvL+65Y /2zxG+/tu/tNUo7k3f426bu/x/p4/k1JeaOJ46N/7i7yxKHkzz2Qu5K4mnZf k8Sftybx12rbPcLnpa1D0gmbhp5k6zDbS99cZ/+QO4fbf+RU8il57mbIO5Jy B+93lG3vZ/tp+3rgXdtGu2+wfbcn2Ua7bkvS1d7rb3Gbfh1p3w6wj/p7/DbP 2eDz8WyDHFOMgcNJfEV+GO14Y/9+oCiJczcAd1vPvqSYGOtxyq324Rj7kXPG 2Z/3uM0cscj2d7C+0dbJvcZ7zkHIAz7Tfe4n5z+QxK0lnnO/+x9Kehfneh3P S877X9IY+0s9h++i2P08w+NJsbGKeTqpDqDtufzK2GB9/jvPYQwxrzOn/z5p zgrP5fdy583XfCePJuXsXB0wyboneYxrH0vSWeD8+3LSPdFnT9mH9OkTSbHG uY9ZJ+Pu6XQiTp9NitOJtq3A+f3FpHhk/D6fFL+c87DtYsz+MSn2ySnktTr2 8Tv2M+/hbd8RufO9pJhkvDJuGct8b+RJvj/G71tJ75N9Uzx/ir/JlYzZN5Li nXw61TpmAH9J4tlpwAee/2d/5/qnus2zTreOGW438/g0r/3QY808PsNrmVvI weTkj207uZX8/O8kjmY+mGnfcM4n1jMrKWeQ3z/znBaWn1nP18C8JN5n3+fu /6u/Ob+e9dS1nOV+rpvrtXOSckkuT8z2ui89v6X75rj9d7dbefxv1tnAOut7 /CvP/9S2Nff4PK/9yP20l/lrvs8z39/0z3/sK3L9Nx5rY/kvz2/o+Q08d0E6 kRsWeJx7/sP7cs631sN3y7zGuvp74Luk2nuh29TT2N+N3Pdf95NnmEdHu3+h 13a0TvIA+WCR2+zL9143BWqSrHh0YxJHcN0+9PcI+Z65i3UYOXwH+rqHfMk+ /m1JvmLOYZ5mjj7iMfYzp/PvB3IUawz+/cO3M9nfbA90m29nN3RfEIqdkZDr Q7mB+WyX9ZM3yL/k5XI4e78QF3b1GZi3jydxIusD5gm+YebWTZh7Xqg+oj7m S9YbW9DXOfT+tkF2Db2nvd6LHDXW32ucE/e6vx3mjgjZQX2F1vmg27S9HMZf CPHh1ZD9QzYNg6wMG9ah3QvtI6F4KgP5VCi3Xwx5KBQ3l0GWhOKGNRj/HuPf UDei76yscmdbtKtmlSeHo10QysEHIC8KvZvvIBeGfqdpBXl96J6XQS4N/U6z iH4N/U6TD7kkxHffQ/4Q4jXm4fX2b3v0rbMfamL/BqFcWAvtIaFabIvjgzX9 4+jLhGqUNZBrQzzbGnKlz8N5zN+leSf+huzuez7muyZvM7/eazBnM1/TNyvt H8of3ebfnmuAnkAf7HNPqHYp7/0q+N72OO76YnxCqG7I1QTMEXw3N4feDnWv tv4C79HT+6x1u4vvrPNJ87oby9y3CVjhuUdsO8/Uw/N7ep9Vns+8zdhhjmuK szwT6qM9rGlYeyy1XuqkDXznfONDQ3cz2L48bv9ei/5Tszo7/cmaI1eHFDuu 2XfQ/RP8XeS/Ddk/wbpKbe9h20NOOO79OlmWuL3L7Z1ef9jzud+hdIIj2e5g Wez2ZMZsqCZoBnlf6PfEEuul/rfQ91qotngV8qVQjXINZMWsYmRMyC+DbWep 1w5CXzYrX5baV+x/Ef3PhmqjIschY2NA6A0w/q9gnGfF17zb5b6LR3hXoRrw fMhdodx5Ds8Yqt+fgywbqru+JgeEfovle3rC5/wKck7od9mekPtDOY8cUC3E A7T1Fdv7AORVobwxn3wTqo3GQXYI1eOPQk4K1aS073nbOBHyoVDN+zHkJ6Ga jNxTL8Q/qyDbhOqlz8nloZrs9Kz4mlzdklwYqr2aQ34QqgVnQX4R+h16FN9l qO7uBlkYqksaQ1bJilfrh77ZXgD5Teh36LmQ80K1JjmpnXnpzhA/0id3Q0bo 7bSgj0P130zIT0O/bTOOxjuWyNm3hjihE+TmUN22OsSz5NhiyEtCNVF1yEah HNcFcmuo5uPdNvH9Pg35ZKhOPQp5aai+mAY5NfRbfink5aEapBrsrg5sT5K9 Q+33IN8P1dCMl7scMxdC7g3VRrT1XdubxzsP1diVyAEhXpkOOSNUc1dg/IZi 9m3IFKq3Kd90O9/8wnjm23rD76sj5MZQDf0tzx76m+H10N7ctwz0Xxmqd76E nB2q4/mO3wm95cCcgaG65EP6L/T/FS+Hcirz6bmh/wvh/4MwbzCfMXf8H5Is ZJY= "]], Polygon[CompressedData[" 1:eJwtlmm0llMYhj+ts5830SiJiMxLGhQykylJqtOKRppEqnNKIgkpGSJRSchQ lKJSJKSoFBVNGs7hKE0cJSJDpnDd6+7Htda13+97p72f595vra6F+QVlcrnc JMiDYZHLDYVBKZe7Gz7HN8KLeEu4Bv8HluEr4EF8ONyD3wtX4b/DQnwxDMHv gzvxgXAt/h98hq+CXnj1LJfbjbeFSxjvgln4m/ABvhie1r3hY7widMOfgVPw tuFzz4MO+CFcrwT/CtoxLsu4CC+G1xjPhFF6ViiL94Ve+j8TMAd/F8YwvhoO w+8PP3spv9fgWt0Z38J4D1TXu0EBfhq0wG+GnvguyOP/bRi3w9fC4fhD4bna z/Wq4g+E53ov4zV4ZbiJ8fMwCM+gI94P3sMXwFN4M7gOT9xjHb4eVjJeGz63 BSzCK0DX5DmcgZeDG5Ln4Er8F5ivuYZzdO8D76d3uhz/SXOCz4MueBXuV4rn wzKtJTyntYWP8E/Ca9Ncc4j/CUu0dnAp/gPMwefCbXiPA/PVGy7CS2E6PlM1 oPWEG/En4R38UOicvEbz8fLQJXlOPsUrQffkZ7oA3wFTtfbwKn4wdMIfg254 Vd5np+ZSNcR4K7yCT4ET8IMy1+pZcDTj3eHarAtv4G+Fn60p1ML/Dr9rQzge /zfcK2dCf/x26IAXsd7H4X+Ee6UBVMPvgD54GzgW/y28NmfAMfie8NzVg57h OdTc3SpUWzAA3wo18b3htasPd2ltw//tC6fi/cL3qqkaxkdAe9WG5gg/HYbh Q6EGvjO8NnXg4XCNq7aHJNfi9RzbkFyT6tXl8Gxyz47EHw9fayPvX6js0Jwk 96C8TrjWdWy05jY8V8MZnxx+Bz27ekq91hIKk2uoDPfPZ9wfX53c++0Zf5Gc AQWqn8zZsAP6qB4yZ8N2mKBa1v+53yPqQfyFsH/JsYn4S2EfwbHxqnX1dPI5 qq3X9Y7JNTY9nDnKGh1TFtaFkcmZqN6eDI8m9/gU1R40ST42CX85fK8Srj8t nFnKKl2jNx6Ze3+bepzxOCjO8zMtDGeosnNcci+9DaOTe2oMPjY8tzpnRbin 1ctas7nhTFQW6hz12ofha6nn3g9nkrJoLMwO94R64QlYGs4EZcH45CxaEnZl knp5Xvhc9bSyaVb4XGXUkfj2cC/WhlbhNdbaqsbL4504thnfBN+Ha1S1OTs5 uy7TMyZn2M/hHlLv6JiyqLHmJDmTlIVXwILkTPwx3PPqdf1H2bxONZGc0avD mausnZCcPavCrgxaH95DtXfqnF/DPale1D2019ZTTSXvudr7Lg4/u/bAbeE9 RnvLZNUg3iCcvT1gC352OLuU2a3DPaleXKMawmuHe1mZo2w7N3wtZZxqbWo4 C1Vz3+FHqefxGcnZeT5MS87Qb8JrorXQMWX1heH/KrN17rfhrNU1cpkzUNm3 MvlboT5MTP5m2IyXQGvVevK3QxNYlPwNoWw+IpxNyugT8WqZ91b1+yjGneHr 5IzSt8RJjBslf1PoW6BjuDb0TaBvl2awPPkbRntTU1iavEfp26R5+Fn1jfJX OKOVzfrP/nDGK9t1jYpcf1P42bck752Nwt8GWg9luf6j35TpxeE9X3u95qAo /I2hbwvVQEP1dnhtNSf7wnuAsl9zUoFrDQhngd65XOZMU5Yp4waHM0FZoAzU Xq1vDn1raM8eGN4jtDcoMyvxe+XMtaI5yzJnorJQGb4BrwKtkr8B/wdn0Vxn "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0ulWTlEcwOETkbnMZayUKZKSu+hLl+AC+OImSKGSzPNUocwyRsYQyRQi GSNDpsyevd4Pz/r99z5nnfOu9+y0BYsKF8ZFUVRPFmHux0CGMpzRpDCRxexl iBv36GCtCvfqMk3Uah2mNZqkxTpC94Xn6X4dqSX6kCe0s5t73CDZ9QM6Vg+G 9+tNTdXjOjku9pvTtEUz9Yxm6Fmdqrd1ujboND2nL5hhbtRHPGYVD5htP5tZ 5DCHVvvnyTeX631mmrOYwmnrdD2lt5hnLtMKTjDf+qQeo5k861J9TifPOBr+ W/tHdJKu1Al6WMfpIR2vK3SM1ukorQ3fRpfrXXbxlA7auM4g13fqAN0Rvqte 0wTdHr61btP+2qTxulX76Bbtq1fDudDN+o9NUeygXJG/bOQ3G/jDZX6xnh+s 4yeX6GUt31jDdy5yh0ousJpcz59LkfkLX/nEZ3pYyns+8JZu3rGEN3Txkte8 4iMFUeyM/wdp02Ud "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{312, 311, 315, 640, 631, 632, 630, 634, 633, 543, 636, 637, 635, 639, 638, 544, 642, 643, 641, 645, 644, 545, 624, 699, 608, 629, 565, 627, 564, 628, 542, 314, 313, 312}], Line[CompressedData[" 1:eJwl0ulSjQEAgOEvdyJrEmKGEipZ4ohKixMxTuWoqOGHS8haJKWihJwihNJi ilAUKUu6Av/dgmfGj2fmvYB3aaQ2vyYuCIJewiLEH9YvCYLHHKSHHHpZR4wD dBPiEUk8ZD/32ccD1tJFNp3s5R6JdLCHO+zmLmtoZxetZNFGArfZSTOZtLCa W2Rwk3SaWEUjO7jOdm6wkga2cY006lnBVbZymVSusJxLbKGOzVwknrec5Axn WcY7IqSQy0cOsYkNTFBGHk/Ip49xxjhHMu85TA0VTFLOeTbygQJqiTLFKZ5R yFOKeM5pXlBMP0d4SSUDhHlFCYNUMcRRXnOMYaoZpZQRjvOGE/z1zGemmeEL X5nlG3PM850f/OQXC/xmkU8MEaOFOi4Qjfv/5j9Wn1Y5 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0zVs1HEcxuE/bXEZgQAhKQy4Bnd3Le5Q3Frc3bW4OxPSFqjiA1Kgjktx nUggQVaeC8OTz+/7DpfLJRcZHRsVUygIgu/cCwuCDJqEB8EZGkd404hsd1MN 5zYVSLBF6QD60p9+xNt7ax960IuenLd30+50pitdOGdvp+1pTVvacNbeQlvS jFx3c83TVhpBR/LdHfShdtLCbOKxe6M+0c1ahG08c2/V57pdi7KTl+4d+kp3 aXH28ca9V9/qfi3JUd67j+gHPaalOMFH93H9pCe1DFWpQXW+2SvpLU3QHxqv PzUx9Ptqsv7SJP2tKXpH0/SPpupfTde7WjlUMjjNV9sp/aKlNYeb3pmU9/6s 2XpDK4Y+m0Mc5gDv7Ae1BHt47d6tBVpMs7ju3VAbUJ8X7ji9pvW0LnV46t6i V7W21qImj9zD9IKW07JUC31XdxWNJNF7kA5mIEMZwkX7CB3JcEYzikv2sTqO MYwnmiT7RJ3EBKYwmWT7NJ3OVGYygxR7rM4ihjnMJtU+T+czl4UsIM2+WJew iGUsJd2+QleynNWs4rJ9ra5jDRtYzxV7gf9gPnnkkkM2WWTygPth//+v/wAR cX+u "]], Line[CompressedData[" 1:eJwl0DlOQlEUgOELGAsLFBwSCiMmYGtB3IiJG3ABsigZHAq0AxwQCgdMHHbh AJpo44T63VD8+d457+bl5i1vlte3EiGEDa2mQkhqUlNKK6sF5bSmq3hmwmHN 61YXdtfxnee+uvozl9hTQne6tMtzVveaU06/9jc851L8XjyrM43sTvnDDrM6 0bf5iF88ZkZtfZqb/GCLMzrUu7nBNx5wWot6MBe5okK8u3mfr9zlC/fiXbjD AWt8Zp0dVvnEbT6ywmFq/D//AcMyM3k= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1235, 1234, 1370, 1536, 1674, 1578, 1673, 1579, 1675, 1630, 1818, 1631, 1652, 1651, 1538, 1681, 1682, 1680, 1684, 1683, 1539, 1686, 1687, 1685, 1689, 1688, 1540, 1691, 1692, 1690, 1694, 1693, 1541, 1696, 1697, 1695, 1699, 1698, 1542, 1653, 1806, 1632, 1679, 1580, 1676, 1678, 1677, 1537, 1238, 1237, 1236, 1235}], Line[CompressedData[" 1:eJwl09VP11EYB+DDhvzARFQsUNEbvAADAxNbVHCD/wCQW9Eb3XQMFeMfETux uxA7ELsTxMYOjOc7L559Tu2827tzMkoriufHhRDqaI0PoYmidiGkJIRwg5tc 4zqNdOUqDVziCpdJ5gIXOct5ztGFes5witPU0ZkTnOQoxzlGJw5zhAMc4iAd 2cd+drOXPXSgll1sZyc7aM9WtrGJLWwmifVsYC3rqCHGEpaSRSUVLCCRjWRT xTKW041bDGEF1aykO7cZyipWs4YepMRCKJHDuMNw7lLKfXK4x0MeRP1zfpFM jeoZj5ALyaRnVMtamRzJI0bxmHn0tZfGaONycllML54yhieM5Rm9ecE4njOe Jvrwkgk0M5GW6H5ek8crJvGGNN4xmbdM4T3ptDKVD0zjI/34zHQ+MYMv9Ocb M/lKPt8ZwE9m8YPZ/CKD38yhjQL+MJCgD4XyL3OJMx8U9c1bH0x69OaJ0Rb/ /y/8A+RFbGo= "]], Line[{1575, 1338, 1342, 1346, 1347, 1348, 1349, 1502, 1629, 1805, 1628, 1803, 1627, 1804, 1646, 1802, 1626, 1800, 1625, 1801, 1645, 1799, 1623, 1797, 1622, 1798, 1644, 1660, 1618, 1794, 1617, 1662, 1642, 1656, 1616, 1639, 1615, 1815, 1814, 1572, 1813, 1638, 1650, 1641, 1821, 1640, 1657, 1574, 1817, 1621, 1796, 1672, 1619, 1795, 1809, 1808, 1577, 1573, 1816, 1643, 1620, 1624, 1575}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1As41NkbB3C0tbGphEhR7l0oiSj0bQvZTUWphNwpNFS0JCTdpMSWEPUX oVyKpbSR1EoXIbcxgxnXmUHGzE+uLfE/s+d5fs95Ps/vPec97znP86q6B+z3 khATE/tAPtFMP5Uk9SRxCNj/cLVT3DhCj1wSHqoYQohJS7a6+DiYjhWBchND uOdssCDHfAy0Bqsklo4AO8Tvp2rdGcWM+ub+IlcBrLgaLjrDI3Cm1Wem3BLg QP3biPOHR1B7hLu5pFyAc959/Hv0b3jo8jTbqk+A9HlfOOEO3zCgG1J3YJEQ 3RWt0Te4w9jzx5YTrYZCXP76xsz8j2GUZu3VancQQodZuGvDgmFcX18R5xAh xM1kvzJONoWkEgmvN4lCaMyxiHF1o3BhMk7K46kQ9u7yzj+UKeTGTs7bWSWE 3u3FOmYvhfjLbk2na7sQm4W39x7YSmbm5NJySoiw7S8bfqkQYLfm0JZto+Q8 nrZPXuUKkLdY+9vLCSGSBsQ1rySSugrMt+tNCeH3a8JPx6MESIvp1UifESJk 6pGiu78AZ3NuCSeJlX7raHI/IcChnOP5NrNC/Bx2rsbDV4AXRV6Oj4mnH5yW 8DouAHOGtqGZuEGmMt/rmABi/w0K3v8Ncq/jlX3yxOMKriuOeQmQcKqmdh1x 7sK87mOeArx28U48TFxzqzPGx10A411L7C8SD9T/fsqPvMte0/olBcQKnM4E mrMAjbW63e4SFILyvsrE/y7AdxvqX9mfKFhcVjWt3kzetd7b9Z+5FM5q2/Us VxdgorJLxv9nCn22RU2XFgmQyQ4NqJOhMKFbOkfyzhB2nm/vfLucgr52kuFc lSFcOWz6zEqTgucl6d17c/mwjFCHx3oKVuF3VrzawkfqpZxmGSMK+Yl2u9bU DKI85kLMsZ0UXlr01tWuG8TIF5v1H/dSqNK5eiT+z6/IrnIRNzxC4fMFieYF PwZQW+FnV+BOQWai500/bQD0Tx3XjP1IffvypBp7+1E5G6TQeJpCg8kjxQjn fihe0ZZpOUdhdNK64Ul+H5SmNwiWXKTwINh6fr9EH+RpeoGx0RTib/n53XPl Qduz4t3vNyiM9NRK7a7iYm+w5AmbmxSE3S5qUXpc/Bv5zCGTeF/HdwNWOgfR n5uHrGMppF986D+jyIH0nKHOALJfuKql+ohjL+47fZrWjyTrA9YPxef0wKBl ScLTIAqN0rKJy8R7YO/YzJj2oqA655/wPrdu6O79qXaLHYVzw4uP+3zuQmAu 3+AiKLREuCxaadaFa3HiJye1KWw4F56jQ+tEhm74mtvzKNRfudZP39CBtYW1 4kf/EULfIVpu/3w21Ot8i9VOCpESYCVwHmsHPSvlgqSCECqZb9+1jbXBqMcv KfuFAAeDcm+9nt8GZclT/fH7BQiUXRawTLcV4rZJAy79Q1B0Up4v7c5E18el v19wGsIE2y17wVkGhj9FMjOr+TiwW38y+lELPMf1Igc28fF3gMVGDT4daxd/ WepxdxCRUk1bUy3omMgy5ypMf8W+H3PdK4ua4Sg1t2jG6SscZ5YWRus3Q1ON Zf3j1QAUdQ4+5lc2weJUv27RcD/28Zs13Pc1gS7VvLZGux/bTlQvVB5txLTa 324Zrn24O2ZulFLYCHv95iyn+zxcGw4qjbrYiIXKG2PHOriwFb9m/tivEZFD miZmWly43X81Ina8ERpuw5msQA4uuQ8yM4Ib8aH2y6vmB72gNd8vCMhshM8l X3uJ1h64JUp/0+A3ojBqapy9ogfX0+IXxO5pwutFM8o5J7rhKVMnvPKhCbnG rUbBH7swpGQVMm7fDGO55GuGel1YbS7u9FyMjrRpeX/PXZ1wufRO63I5HWWh b1+bW3Qg8kxXj8TNFjCt3TdRsyzYnZc1k25ggCMpN9vb2w4NKY2ocv1W2JR+ bvEUtGGf2tSadU/aUObKyrm2og0TUuMnMrewUCihn3vQj8SdSnHoqmdjUKai v4bBRBozYXq3XyfU+4+F/OTCRB7zkM+zyC6UKZ6tXD/DgPoov1HBshuzBrzk zCIGBnlec59L9ECCaXt0kLyzpuTLuKniHjzxdn73ty0DhgtWm/x7uBcyY2eC Ro0YaDvXU+I51Asb+7sTL9Yy4DfHaOY6uVezHbuO7FnNgGrAqQzrrxyI7Wj4 rLOBgaZ7lvRxWy7mB/RmfTdjILfdTbApj4t6tuyPiAMMpL4YC+KPc3F+yTr5 fH+Sr+xGld5mHqw6+uribzLA43WGa/rysN1O19CBnDdFKCY3epsHfsLGDw97 GQgzUNP/UMZDmVWrkLeQiSOh2fkHm3hYucmhf7kpE8HG77tbe3n4tnNA+MaX ibddRx2sBTxE0QKnPVOYOO1gI3ljhAcZbekHWdVMtLxK+OE8ysMz/VV6ulNM mHjQawKHeaB73Nr417pWFL/dQfMY5IHjoBrb79GKBSELT0t285D6dX26X2or HDWTDjWR/Eq5xY5UQyt6Cx8sdnzHg+M6rYfGP7dhyqjiuVoxD7pNul8Wm7Rh OFZBKvkBD+lhy1z20trA5mSlKsTyoFp+tbvufhtuudJpwhAe5OZbzAuuacP2 D+Kmbp48XF9F1W/83oZJfRW3zH08uGwZ5gnV2xEstj+gbysPW0t9CmNc2nFl blRp+Aoe5pp8fJCR2I4TZWFtdTNcaNVO/djyqR3yY+WM1T1cyLY+dnWfIH3j l5LF799zkaunqLRVlQWHFdND9flcmFtfYA1YsuCj8rDKO4ELBpP3v4zjLLg9 5qxKCeeizqnaP/QqC+yDu1hNx7iIM+ybTcpg4Z5E8YmGA1yEFkSf3F7KQu63 vMU3f+XC7qxxTmkdC95nQmxnSb9tD1syuqeLBfmLzkpL1bjo8Ka/3y5k4dFQ wNMKOS6sN3a9ZkyxEIzUKN58Li4ovO5LJX0vrLxFTWGag5pF6/h3lrDxz62v r34d5kA1zPuQgRIbe6zG/Qz6OQhJlw5qX8lGx1jE5vIuDpy1gimOOhv2Kx+a 57VxMPK+oD5Ni43QmaiWL3QOsjaFHb66mg3dG9n5xxo4MNxcsNZxDRtyb0Nk N9ZxUKTyw8WH+KNK1Rj1mYMt474RFIm36LAtDqzmYFZ2c6Qq8eUka+nYTxzM maA1qmqzsejM3XoF4ue9u5wMSL5W8SMa4x85sD4QH2muyca59oI4cVG88bw0 Rw022J6WwzrEE8MmGyPJeV13/FFEI9ZM++JSosaG9OWU02XE6jElUWLEPamh zxeR/CyrbZLXVdlIOcO32UN8L13j0Cpi/toShxji48XDhm9WsbH7teLbKmLe uvDdvsTrHUyfzRD7urkoqRDblIXfMyD1yY1oXk0j98dcdvdRInE6ratnO/Ev 1SsNB0T/91wumVZhA43d+3VqOHhRPPC8ljj77LM1bsR5d8SVC4g5f4Wfukbc a9nUdI/4QXOy8iNi885mJBHTjMLOFxH7yyudv02sHfN5qow4+uSVX/8klr39 76dK4sBk2+3xxGfMVqpUEztWXzIT+YJB/uovxL+ZrLcQxY910uqbiG9MftcQ 7bfEdNcyBnHMnJfJd4jNrg/sbCW+mEzzSSZmZbyLbiMWTo/6pxGrZa+Z305s m2ekmk28TTXgoiietdyJkUdckjKrKdrv5BMbu0Li/ojgh83EzOW26cXE/ryd zo3Ed4T3g0qI7SIsJeqJq2P8Zl8Qe5ke8K4jvqtBf/Y3cddhFd9a4p7Bs3yR 5durumuIJ0OnOCLH2ctkiZxi+b86kdvKtiWKXHrY57/1/OO5CSJbyhxNFVnP zThF5IBvVZdFPmPQlSFyrNcfYSI3/Xnnkcjm1duCRHZ9bp4vMvfnFTSRV8e+ LxTZY66zh8imWk9fiNyhoekk8u2jceUiJ1opHxJZstisUuT/AzP+eFU= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1nk01OsfB3BrlksqRCUSktZLKlve5BbabCUpuWWnFFokKaUiIS1kuVoR yV5K9q0Y+zKWMdYZZobGMpiR2+339XvOec73vM5znufzfN5/POerfPaCtYsA Hx9fHzEXv+k6F/zVsudwSePdplNRczjNkyJtbZ1D2OeS/pPfZ+Gz4eMt7swc 9m0ccAzjn0WbULvriZVcPL86r2q1fwYaUjHSJC0uVglpJ02+4yD7+G4XxSNc UOOX+slKc7DxUO+glTsXR3Y871IKmUbmMUVh52AuoiiCwrcXprDg6GtiE8eF 5/ZTNcX+U0jR9pFUzObC4HWe59mFSYy3el28VcoFN2CfpGDKJII1n4paNnIx f2c9h99mElU2fx182MuFobCRjrHAJPqvPMzSZnFhf+SP3QfcJnCFkZJpxiVc UBuj3siG1nl16QPzXGz9TzbE4xMbjV+ba0wXuDhMoXMrk9i45apca/yLC4WC sqpd99lQWBO3Suc3FyHJfcXlF9hozW9Y50lYs7U2yvM8G0vvhismEl6rueqF tBcbkl6tKxoJx14qHytyZ8NZ6bn4KOFZF89X0W5s8P1/8OD6/8GGIkeBI0/Y Nr1ki74LG3c+UIY1CeeKuAssc2bjw73EMifC5ZdP1H85w4aOPO3JM8IKabfb nBzZOGec6/CN8Ou/u+SWOrDBEY/aVSDAw4lO+77yfWzcdfM9+UaIhyXsFfYR 29hY/h+VFL6Eh3ulAn9flGOjP8rm/kVRHuZcrlZ78rERVJJsQJXh4Z+Qjf4r 3H4gU7Wz+MU6HhysLk1ltoxDU0AxsGAzDytHbL+sMBqHMs9wQmUXD3lp/pel c8egZmIYQwMPseH1H8PUx+DfQ+GcPcxDn4KcG+MkC7f/ynM4eoKHhNMmTd6x TOi07wstcOKBoqIllNfNQIxNrmP4OeJ+8HI8tp6Bf6/ZSjb58aDGf9vo98VR LC2M/zf4Gg8bLYSkz1aPwK6N2d4SxINARGy8yQAdhnVNgorBRP/jWadnhejY Tm/tdrvFw3IjfrlBLRoy5s2YOYE86IuO0YM9hpF75ow83xUe+P3L6GfeDaG+ aFXOcaL+nh0kcfmJQfQFxXiXOvIwxc232L9nEArHm5/5mfFg1BM0IWM+ADMv TpAOkcdsBN36e3Ufjj5Slt1B5Hm+XimnV5qKZWZPKZH9XIi9qlsQuU5BMNep 4kYOF+ezdzIkf3YjOmSyZ3cQF777HFY3RHVhNELtx899XHiLa47p6HeiyKRb a/v8HFT2vn3fn9mB69fNQ+OT5+BtenFy1qgdXNLt/1oOzqEl8Cp/yUQrNicc 2+IzPotB7esjYV9akGPv9FEudBaykc6nPic240/Th62uSrM45W6v6ra9CX49 0rP/5c7gfefWY0NWDaDrSbrZacygUM/Qq9SQhKFfWjqrEznIux+SqeNSi2KV iJWWEhyk1YcWGpR9g4qkbsZ0wDTIO+vXiB2sgZBejB2dMYWaU6Tbf/JXI1Bd dWzGdgqKisY1SX2VON3+ZU9n9SRU6MqP4vsrsDOUfnfzrkkwBKsGqvgqMEop XZrGZWOrvkXeUpFymEj9E04P/4EyIb3M37plmBK0NE/dNA4yx6+yf2MpTtCE yRs6WLAcsvokr1qCg8qyUmYPmUgwbf1263QxfNrtxFMtGXgj/YJs2FqEEK3K qTfrR1GalSH0KqAIL8TN488LjCAxueAz16YITS9OlId/peGRqgm/1tkiOEmq bzgQOgxWh+BHg6wiHKqWcTJ1H8K0TXLwct1isKtGYn7ZD8JMwZHR+l8x1IK3 CzY4DiCptlnvNV8pZC9094iO92E8ITGhWKkMIpObjzXpUjF4eV9sWF8Z2D4x Rz1SKdjZyxnsLS5HQ1LKBpWcbsTorK5dqV6Jp5Wzy75PdILEOvZTor0KU9F8 tvcdyXBdu9pIprYGXk9nUvL+bcdlCXGD4+K1aN1W4Fxb2YaQ7VO77BJIeO+a s9cnpxVbtepCzgQ1Ytyz+PmtihZYxYgGz3Y3g+Z51pPHaYY2WzWF759WtGct HRU0aYaF1u73A3fb4ba/uOfHiSbsCvCLvfmIjNqabXVxpxsxqnXniVxBF6Ss V6paRjUg7khNutV0D+DqeydZqAGxTvLUPXW9cOr74VMWXY+vZVuMZJL7kJS4 pfuhdj2K/LM2dRkO4L2WlbL8GAkO+3mng9QHEaOrviY6j4Rjq7zCZcSHUPjx whfThyQYeDwaOUcbwtr3wSEZfiSkbz26JzV/GErpa+os3EngO/OnmOE1Gl7L 7A0bIHwvaGBBQpOO9M8aypsvkZCrJ2FqRSHeA40tjXJhJDRuiAx5e3UE9dpR fGkpJFirK4VwhEdBfqURP08iweVJqbvvvVFkZoso6fNI8O5P84maH0XoRPgg aXc9nmq/0aZcYaCuxt238GY99O5p1lEGGejU6AviNNYjqLBfYqMBEyrhQlvu qzYgb9irxe0+E7bZjhlvbzag9IlzJKqZEIsiGcT0N8AyN/unMZcJbmJQaLFJ I8hxShUjiiz0iDy/9Oh9I5b4hP51dw8LFZz8YjuVJuyTb0gNs2XBYWLELSKp CWd0G9T2u7FQmMdfcHxpM071xr0R9GFBPMFi5bsjzdjxveEn5RILjiO9diKP mnHYW4BV4sfC2U9jXw+0NuMDh6d71ZuFw1MiOCTbgjLzHYVZLizE80d2Mu1a 8FtYbZB7ggVysYdw57sW7NSctFxjzoJmu3qfyXwLordJvfTfyQJd2TlD5EAr Kryfyj1WYkH1gMGaX/GtcFGs+tIiwoJFdH00/3grLJer8UeymUjzHMieMWjD KtnEcsl2JmpKd/0oiGjDQqfrgfDPTOSvSDD4OdqGbB/u7o/PmTAYsUrNN27H h/tta6T8mei+r9BSHt+OmC6dhG+2TGh/7B7+Nd2OMIO5EuGdTMR3Z53bf6AD nK3BaawVTHS6eZsFvOyA8C4Z5uNJBkyXGSRem+3A6xua1+UaGfDwqCjxsiHD okyxa38qA/I3vNVDs8gw373DNfgWA3f7a1NTxTqRKBVYMHCCgYr88x7JZzoR TldE4A4G9nhslHYs6ISe/9UiD0kGtMQ6J/LFuxCQdvxe8ego9HQMZB+c7MJv u9ziBxWjWGK9abtWRReoM8uGDj8eRUmQk5eiajec59LCNjmN4mXnEzG14G5c e+31+K+do+iX5B3Z0N2N3rA0ZpHoKIz5T2ZLbOnBQb/wSznUEWRYX22rv9aD tMZ/JgzyR6AVkf5MuKoHGvbF16LCR2B/YHxsUJQC+cmMqS/OhJWU1l42o+Bd y9rqBoygLe/oCOU2BW+mqPZdCiPoKVzzTv8zBYq/dEWHF+gIext2pZxBwQjN WJrTS4dU8vSKVzK9YMTnVIqV0VHCb0WWNugF76L+HdVkOjS31pnmuPdCpaPb OeAuHZ0LboYTkb2IzHltJ+xBx6pY6SOns3phXlpsnWpBh7N3xh/RxLthJ2i/ XF+XjqRD0bnyg734ozrT9pkaHQ1VZO/bnF78vXfH3nsydDw3EpY8JkCF8k/P zz3CdByZEdaXWkrFkS0n0xzmabi7sl93gxwVq3eFWHazaWB+n/w6pUhFxaZj 28g0GmaNDA8eVaXC/ufN80O9NHwri6hqUqci8NGb7TlkGh7MvVzbpkHF3pTv EgstNESuoN/5uomKpBsRM0GNNBzWdmzrILwE1/IE6mk4+vSFqBHhh1Ohv+Tq aLj5ZUpCk9gfPmScLlBLg09iwK1h4vyXdbs597/TIBlbKhm8gYoOlyuf/Ak/ 8BefVlOjovAVfUU24bX0fimaChX9MzWc5cT+Snf9oOr1VPyulHkdRth/ofHa NsKHmLaR7YQDF/TykpWpMP/15K0SUT+jR3rJZsLHBSI0PAg/WWMqVLKOilfV Ys1ZhEM0h8VOE75t9SZlmnCsMeuQOGFrgXRRTRINNb7PvyYqEfnqFqSEEQ64 EPPNlDCZJRPXQVg1Yv17EcJ+KprKskT/nLXVpC4i3xsmc8vMCZP9NHoLCHe1 fo3yJew3H89+RTiTIsV+TNhaRHL7I8KpYoZ3PxJukzajPyC84Lizso5wZtLg +EPCs7XnA8mEQ0dlcx8TNvTtrqMQTmh36I8j3K5iK0kl7H0jTGzx/HDzdf8u rs8mWdW+JTz2gNnUQ1hUYY/2O8Jsi1jvbsJbGySM3xM2cD0+20nYYeDe+AfC vqlqAYv1Yt6Y6GQTltCPkOggXPda52ku4QGbHvc2ws8c1/rmE7YhfrJaCAc8 Vh36uNj/Q7+CZsJlkz6znwivC7yS2UTY3ljy92IekuljDxoJ7w9eFveZsPWw y9cGwpSN1vRFrxR0/nPRaufIk4v+1q6YV094j2V5y6L9FESfL5qf/OTzoh3c pp8t+kltzctFv1ttH7fo/wG2axnO "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Xk0ldsbB3AVirpypQxFZhKli0roS6hQqXRVQoZMISoSSpQKKdPtHPM8 nGMqIklkiMxRZg6RwzGdQ5KS+L399XvX2utZn7X3ftbe+4/vK27tetp2NRsb 2wIx/tToeqlVRNFicEfu4I14iLlXLdz21StIal0clOh5gAv7DnfNX1jGE8+k 0tUb7mHk5BXbF6t/42fiZj9XXj9480rz3y7+hZuz63Jp9j7YL/rdjdd7ESXZ L0Xvp3iCNj5ICuP4iaXI/UmFv65D7XSWSVHaAkSdZu8uyl6Fgq1SR67Jd2iX 1jzq+OKCNZBbKGj7Bo7T+jbvcx2xUjo3l283h7Y8g1Vf/eyQm20vsYn/K9Rq rredFrgE7v9kd2o+nUH/6uyVbQwr3Nlt6ZjjxMT212fatc9Z4rJxSh80JmGW JFbZzmGBsyGpiSwrBnIG46N9vMxwido+RBGmYyWvZTT5zQVcPnR2fK/uMNam u3EuKZnB1+WOjkjiIOqO5HeKvjbHpYkRZ7WLfehI+FtbaJclrB5FBvIWdME8 iSumXdgac7d4fcXUO5AU6r8uYP0lfH5WI6vF+QnezQ7L7DftcNW64HL4hjYw TKeHxDwdcevGpF9vaAu0ZxMka6RdULh35+9k20a4qi03iLS7wVBJfjomrA6G gm2CPU+v4/4T2WjW2lpILVr3bPp2A/fyvQ9wnq2GfFa3s9SKD3Q+FXTkLVVg mDmS+E7FH9/W6e+aJ70F7+d5WTPre/jJ+V78hFUZzj+XSdQYuo+tQTrBWv+W 4mgTl6pZWSDMrH0DBl1LoG8gmu3CHgLtmWNbPPKKQbKcChGqDUVrbqisL89L XJl3PCvOHYH93Ww/DV4XouK35sDuPf+BI6626eWtF3D7WONjlEDC5ZyuKssz BQiQE0o7YBoN6Xgn/hXkI7A+MIl6JQ7hlN8k84PPwWGkZ2Q/moi6V/4zx4We YdJ8C2fzhWSs2EhcW1WXC+PqyLKhkRS4/iK3cQXmQCd7WXtPeBp8IsP50s9l Y54n/UG2TQaC6+XuC6tlQXLZ+9TVixRoGGUdduTPgq4u1cU/nYLA+Du9iywq gihSOD9FwVHVdFpLIxWOqs4Ni8pU6OhJMkcyicqM3+xwi4pByTDZU2lUODT+ 7Zd/jwreaDau8iQqBmQZP5eCqdj1+kLEzngqmK2Z9wwiqMjrZvO3jqVCpD2i afYpFTHRf77/V6sgrqE2MhVzmta5WsS+SJEDp7lJVGhUrtdjEH39avkDfYg+ bpHat/ZTqGje3Hlp+gkVLnv9qoOfUeF0zpZx8REVn3ee2Dr4kori5ifNS/ZU qF++FRTHlgWKkfDVXl0qLiclvZQ3zMKhHwvXf4hTUZcpVviIlIVrm054mqxQ cGboeHTlcBZeWh0stBjKRPi2SB7p8FzY0hT5n7dnYESQZ6+g9nOM6I7e8+xO R0RX3cE3tHxwaGZ2TU2moUrybqRj8gvMygWoneZJwy4JF0vZ0CL8Mrgr+Nsy FU9cz9g3GBbDwiHFXbgsBX7RAVfcd5RAhpsVaiiRAvLuuekfO0qxYauIm2pY MqwSdTrkjMogfPxLih9nMuLC1SebYt5CyIGDvScgCQ2lM5lGayth/cB4m+j2 JPzbc+xm8dYqSG3JEtx8OxHhJcclfxyshkyY7lN6TQLS37Jpel19B4dfB/46 L5iAiIHrUeQXNXDuUNot4h6PfeOe51M53kP4gJF1SFkctmZPqMpl1eGfZMn8 jZviEB3kTSXbNmDNofda8u6x0HxqGSm0vwnxEnbt1p9jIOAc1JQt3gLBcbE4 nbMx2LdcWsXzdyssWP48pt3ReHDyK+X+tjbUFPYu6R2JxvvV7ivB3h8R8mZZ IOddFLjGv473Mj6hkW/tngqjKAg3C0+cs+vAKbcfKBsjQ1G2rjlpthNl0Wln 6I/IMPBY5OEK6sbQIvOpvzoZs+l+PZnyvShP3S4TPE/CrfQzgemdfVC+F+ld X0JCgtLxvmuBNGSFaFTHPiTB19oiMEJzEI/PhWRfsiAh2HLhUonXZ3TaJduH apJASci0LDcewhhn+usnUiRwNKWsj9g5jEknr2/9fCSc705b92tlGBuNgxl5 7CTsFB6MtTo0Ao9iI2sdwlMtpwTltej4eexx9QduEqw324iQ1o6C7WQGu4AA Cd5aOrv31Y5iTH02JE+OhPIWDe+rPmOY55ArUAYJ3zkXNnXKMCBuFm1paErC WmZ8mVgdA4WSOa+SvUhQV59pVbk4DoVetuzxOBIOjbGUhKbGUcf+O6K/moT7 JcmFc1cmUH7Byf3rFjJQWvgt7NgkVpnVFddak3HYkKPqJ2MSQ2cnVbYUkVFu 4PNd9+oUwnIiTxz5KwqCBp/TdMemoDgzYdd5OQobfxhKdB2bhlJjqoJxcxQ0 TY4WfUydxhYOVwULlWhU2pG1FqanQSYPpmckRmOhQmkzXYGJpg0TMQyeGFgE B0wIWDPRI8WaWIqNwYeefaROMhPm3gf1zu2KheqHpTbZaib2cpVRi2tiYaVw +99+OhMxFX5rxqzi8GXT+F2fVSx4PvTJKV8dD4P1PWzHBFhQGB89L06Jx92L R7zN5FhY96rIavFUAsS8V009UmWBr/+lvgZbIvG/ZaiEg4XIrQe7JusSQVHn yqg6wsIOg9DXjw2T4GfQVGd+nAWRhkua9kVJ+PreQ2n8JAsF793rOSWSceZi xN4Pp1k4KbKRfi08GWNnOl7ZGLPwuvgj/cWaFEDZopxBzDfV86Z8upmCPMse xYhTLOirPhOU/J6ChzY3Eq8YscCzl3Ei50YqPFpO2+QcY6FZ9pm472IqtoU2 ONrrs0BTHzhJ8U/D+ocLh4v0WHgp02GuviEdrSEqMRnaLFjnuLgdjUlHw/Hb Mkc1WQhOX609tDMDXz+Tc1L3szD/RZRPtysD14bqzdiVWeD2u3Mw4GEmysQX WMKKLHhbBv9XrkGBnYO0/rQMC1Jc8Td4FyiQF7XxuyPGgp/0p3oykaMqrb9O twuxcITPb/SaTxb29330nuYjzmv66v68ezYyOkwrxLhZENvbuI55IwehL2J7 frER7/vQeo7kn4u/nNa4+C4wIXuV3Xjn0zzE/BN5LXOaiT1C+xNG85/hJGf5 JY8vTHjfCtdf7fwclChTq9FuJpZlFBUb9+TjdqDCCqWBCYGjUnXjK/koVw7P qy1lIrzWeTGhswAzYYWjajlMvDJY4tz58gWSNQUGlmKZEBLq0WhOKETBZpc4 rkdMuCaFkavDivAhSmytqRcT8q+3mRiEvIRhaz5rzI6JIQpHUGx4MdhE74rk GjORt268qMCpBG4PvpvGKzGx+E6ZHnSpFK+N+BY41zMR57Vfiu12GRR+mu9o HJ6GoFGYSG3RW3idtAhpKp6GwcCdMCqRy/XRfR2soGkMm6Z1TulWQdTbNGrb eWK9osiGB2zvEHQwg4ebfxrS9gwhnu4a2LFX3A6qn8J+nrYbGg3vETCq8yHY awqzt1K/c3fU4+aRsBF+qSk4BigdSplvxH8d6R4G9ZPQEsp4cUyuBWtDJVe5 Ok4i03iLqZpKK9RfbSqbYJ+ES+Vf1sP/teKiw4b+uOEJPJiZyByab0VUdq73 0NsJHHxUwid8lshl2UL7t3ETqLCN8XV51Yb+p8LsB70m0Oyb2v5G6CNul+Qo 2/47ASNLGRkGkdt7Lbaaa+6ZwPVeH7ax5Y+o5Hty+/7KOHhN+kr+vvsJRWEs T5vmcTxka/PgY29H/I7sHzMx44jxuJgVEdCOy8OC/+g7jKOqRHlUfU0HbsvO FQeqjsP7d8Hj8oIODIto7ayYZiDSmOPwolknKjgchs5nMGCQeddi46ouiL29 EfL8IgPPmdt/7ErogqYCr4qYMAP8SYFfEpW74dCbnMTeOQYTte1VVRXduDHx hlIcOYZvD1T13YV7MKtbs9nDYQxiwY0OvG49ePD9Zo72wTFUXlt65lvZAwlR UYrK5jH887yVlMvTC91lhxyb6VG47eMOiTjbi3NcaZHDRH4r1Dqod+T1YuWe 1Rdf8ihsLuxR5F7pRcpPCa+7l0exbUA02PBoH7IuSqSu1RrFxk0G76uD+1A2 KCYtITiKk/VjQjm1fZg3qf0x8JWOjG8cKQZLfcj+5/gR3VY6NIsf+pyQ6Uee Yr3FjkI6Fh2NBX8Z9kPvQNkCXwwdvB8KLoS59CN+6g7/T386hE2aNpx61I87 KWttWp3o2LnoXe2f3g8dab3A4LN0LDWmfrF/0w8q+02PLXp0DGTk5Bxt7UdX ecA7SxU64o9mWToMEetj+YTOSNPBODZxn2umH7l2rHs9AnTctL2i67zUj0ZP m9Hu9XQoRX8ZbOakoXBMz1htFR00cuVxh400+NR1OQ0tjKCF4aNvIkTDKQq9 VWFqBJNcJhfcxWh4UJOoUj48AqUl54aT0jTsknyafbhvBPITSQN2cjRc/6Zb 6tMxArugvqjt8jSorET5CraN4F2kwcBHwtbcx64MNI8gKyXf8BVh5QGao27j CA4XyTd/20EDScdliFo/gm2qGtUtRL9fDv06zXUj2P6xO8tLlgZ+86k1XoSp w8oVQjI0uF/5Zn+XsON2ywPvpWgYnyxUriNcqpHJGy5Jg17TdZ09RD//0GWt OQkaZLl367sTPutkHmdFeCEyl/s1YfKmr6794jRs2Wf5hK1hBIkuB17ZEH4s bqdzmDDbnXXKC8T9OZ45fg0ifPX85iskwsrPvj1vIEw6pEQSIhwUKKUmTdyn b5aX8mI7DXv+3a59g/DC/IZV1oRz09nUywjbsp+bESdcFuWstEi40uNA14wo Dd0cW58qNo3gs6efXyXhHGf+QlvCKcezZ1MJJ0Q7RocSFlBLuhZJ2JPrSV4u Yb5D0WIhhFdLSZlUEc5as342mLDS1hdFHwhf0NpFfkzY49Bkehdh9ifxH//s 75Pl0u4nrK+qcz2KMKcmFw+NsKuJrkMs4aiVqt9/5q16nU8nEJ7Q04/54/8B L+ekpA== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak4VOsbAHCVi0mLZKksKW5MRKRs8SZlX8clZclO9qX6I0khW6WISEUR 2ZNKli5pkSwVmjEzzmm5Z8ZWxjr6u6X7nc7znOc8v+d7z/t97/ee823xDqf5 LRcQEChAN/kctB54KKtFhx1F6cpuWXxYsdL9nIMFHWLdH/nHmfJBqPV0fGQ4 HaRiJi7pDMyDgXitDeUmHS6VPRDVtZ+HVR31Lne76PA+NlqliT4HXkFfDG3m 6ZDd+G5Dq98cbPnYv1dEgQEvPO54+f6YhZeblvQxCwZUmyqYzhTMgl79PqGV 8Qw4ZnTTK4M6C2LYnojpagZs7OqoTnw2A1MGO91uDTOg0d1ydNJzBnptLCVl RIcgy45ZuEZ4Bi6eXDwcqTsEpfL7+nY1TMNiXR1zIWwIHLT2nv5Om4YyisE9 VskQtG3HjDYtTgFz6ZYBlTEEGdfPNbwunwIrJQW5GREmKBSbizi4TsHuXOGf +/WY4EiznNwgMQXtop+94qKZEL+jo5KZxAMOMX4xt4oJB1nmLVFfJ2FhnZR7 5WcmLA88PJrkOQnpg4n7eiVZMBrE29GNf4PdzJmj68xZYJLNXK7t/w28BVZl xCSzYCqMplLH+gqu1T409b9ZYCui/fPEka9gf/Wuk8M8C9LsNvfvISZg9vBa qSUqGyQMUsb6T06AxKloLTs3NngtUSyd1k3AzTUeGm9y2eDt8rO9ungcsqo1 uqk9bLA4xj8qpDcONF3f5JxfbODOySi4MsegRoBO275zGK4zDUO7E8cgt0tH 3SxgGBZWRoGB/BhklbBiKq8PAz0keJz+fBSKNdbrnH8zDN7PYg/VRoxCrHLp RsrCMIz+nEjjK47CjWiJbUsqGLzS/5yj2zcCfwT2sVKcMdATt61YkTgCchnS 8pwzGBi5STef0h0BT9+UY253MdjFnigZ4XOhiGVjo9KJQZ1wZmxlMxcypouG z3IwMMtrMjFK4oLmpCOlSAAH42XfMQ17Lgx3WE4/2ICDrV15vswWLgw0l6XE UnFYVq/8fGGJA8OWd3sKdXFor5y6SOAcoJYb/KNuioOngNdiezsHck8ckTej ke/7rwov5YBsbrf0dzcc/n9IyGcgnQNJVSMx+kdxqCnrWctP4oDP9B6dYC8c tKVDFNQTOMBNXp+Z4YODzAojm1MxHBioV6rO98MBNze2x6I44PpE/HAPsrhX SJktsqJFHusXctSIqmZ7JAeiEp/u3OWPg15Q2JQm8qquf99ZI4sYqmPjERwI 9CcvHCIMVzJKkHt6M2bPILtoT7x0Q35wknGiANny3bdnksgdN1/49iAvpWsO poZzYPc5T5VfyBo5Y5sWwziwZNbUrhmAw3SqYF4IMm+w4PjWYziI+g9dmwpE 9QaNJCwPxmEm1OhVmg8H7E2/SPaH4KDKvvZR24MDDJ8r4VfCcMjR0iyZc+FA +gFZ648nULx1alyWMQf09meojp7C4cxqE7VHqhxIUFZpbEvEQS2rcMxOmgML N7axY5JR/34UR1sJciBGidf5ZyoOQsqy36/OEDBdMch0TsehKLhuKphFQNdz E6/LyLXn5Zz7XhCgkiDrKZSGg67m2GJGPQGylU/KxlC+I+y/+o4XE3Bff+dc AJovutxJ3/sKAWoSB8Wq41D//PY/UEsm4IpUHJMXgYNvZ7xs8XECcrWHQs+h fmipZ99cF0hAgrhxV6sLWs8/6uc0PAgQzviQM2mJg4SeTEetMwHHHFdVeuzF 4RPru5WlAwHuCrwyqx2oHymLJztsCLhBT4j8Kofyi3llD1sR8OWxmo6ECA5x bw31LiFnhnZ7R81gUGGhyM1E8YrCUeyjGAZHntcouqF821Mclbd0YfA6Utfp Kppv9fmX28YeYcAYqG9guBHwQ370DrsEA+6goCPdh4BPDrPla3MwWBaaq2Id TECZ3zYj80QMIrR0pltRfZEtbavjwjHU38eJexIIaLt9p73QEwOt/PrU/6US MLb+PKXAEf1fpcmpdpcJuIe5cJ3MMbirqHrgRj7Kf3u7db0RBv5DzzzN0P6m RihpMnUwmGvYPLGxjIDZwY0Zk5oYONH4B6Kq0H5UaXoMq2HgGMwD+/sEtDYN rr2EzoOI/VECjx8SIFVmWMNTQv6sGlP+hADHhPHtk1swULf0naW2EhDkKXJB Wx6DNcq2J/ntBIxXRHvdksGgMYnr9R71/8KZQ0W8jRikNGQVMzsJKIqquDe3 AYOpTVVDO94Q8DRw89ezyJubritNdBNAHQs5GI1swJg2VutF9aYtmFUhx26u laP0EXC5Bw8XR/meFhiU5SETVQnOech3XJ/2cpETmwPGVTZhcMkarxN5i/pL STAeRWbAnLsgsp7dvskitD7KrnepGIqPF7u51kwWA/sNK/RLkLctK13NRPaL 9DH2RL5QukT7Sw4DMV4yRRaZj+H2Tcj1J/vc2Gh9EDB3XAjVXyudm1WCXMPl TexHHnNs64pCdt89LxSJHMBqCLVAjv/Al8tBngsItFZGtv+uE1SFfGSdNlsU eYH7lteC7Ja84MrvISD74g3tN8iBDgY4jmwfmnnwLfKdvfJ575BfPvdb6kP2 jeD1vka+HCn6Rw+yydAh2ktko9vKlNfI18KpsS+Q0z61iLxA1m3SkCDHt7ZJ inSQ4xdNW0jPeUvrtSPTxI6efoW8N0y3+G/k4/1Uy07kG7b3jZ4ib73iJ0nO d/YnId6KXPGwkU5aJFCuo1me/P7ju7uQk1r2dDYhP45aVvgGmcp/vJ60zKZC k25kh/7VBU+Q853zO0mrUwRNSZcu8DV6kGWfnJYi3WrSFEc6lsr71Yg8tTun hnQ85YcwOR6TKf3ld3zfhT9JZ9sKEqQbSiX2kpbR2MokfUBU/iDp072fP5D2 kWoxI210f3GQ9MinICvSHfM/+0kHiVNtSWvV6b4nbdDcRyMtHPFvD2nb9LO/ PWFI++3/AK575A8= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.45500000000000007`, 0.6499999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.4750000000000001, 0.6699999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.6749999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVsfW8LEEe2+xIUZFo1iCFQsHu2KXaOwVa8QSsZtg740idkPsxi72 9lgRERFRFAWlPSAgvdp5/dY6v33WOq4srje535v7ffmL9Vt7Zth75szMnj2z n+qjpvQdk9fExGRoAROT//N3wbyPDcyWhhhG3lhsGNr6uNLhyuSg4/0eCpfI eyV7WXdv4QFmc0ufOLNfmPqDOj8Pudr2utSHqQ9TH6Z+/iOvn/Qd4yf1YerD 1Iep/0OhwhN/6vBQ6sPUh6kPU9/yUoXxrfoHS32Y+jD1YernmVJrbP7xz6U+ TH2Y+jD1X22oeDKmdYTUh6kPUx+mfr+J5t/dvRUl9WHqw9SHvaPzPB8SeUox tK99/FjPGGWIo2f1QgG+wvHpw+OnbQoSpvy3VRs0dH8SK+Vh5G5ZTY7OHvFK 5DDyD/db1R8al6hEbm+2aJzjE8OLmb8Vazh6s9Ld0KNPxjx/YeyD964c0rpx y0vC1C/8ZPfUNoWjpT5MfZj6MP0BNzmycn/B4q6K0/Hfk6u7vRR+sfLEZNMq 8Ur3cpvbXHR+IHL6B0ZOeep3GX0uMX5PgvDJ1oZJ9+snK+bHS/ps87wucsYP +xg/GH1hyqM/5fX2MH4rAmtvqnPsqTByxg/9YeSMH8z4leljNA0bc1BxWDtm w8zD0cq2/O/dPFY/VPzHTioxuGmsMn/9xJ8HDl9r+Lp6wqJv++0TPm4e2Tv/ eKNiHXXDtsfuJ1IfrvQ29n5sSoy0P2DZh+4eq5NEP/SnPex92228v+Glv7SH vnr9YMYPZjwYT5j/992arcHt5jw1WB79vZ/l1KmK25HAemtGBgln+hd2Dur6 QPho+NI9bRx8hWW9UXlajSy7gCbXhcf7+UXeKnxKWL7Xb3+9mDz8gva9qoz9 zWa6XLboeVo4LOTw+XPTDFK/4dv4pyvtb0t9mPI3zY2D9vreFN76MHXA5NA7 Uj+hYb5Xay8GSH2Y8pOX5fRvnuQvvGv7sromJoFS/3pkybj+94KkPkz5ojPX HjSueCQ8q5d7nTulnkh9j41mL6uFPZP6MOUj6mzbf2TrU+HueXdZuNYIlfqT ulhGx6aESX2Y8mdCDuydefiF8IZnP7ge2Rou9T0/bE8dsDBS6sOU79Q55EG1 sAjht17DSrnWiFLy7XZp5lvq8mffN98X5dlPYfZHmP0OZv+C2Y9g9heY/QLW r//od2VdsFPfc97CrN8w5VmvsG9XxbnFanZO1PRRv98n11Yn5rsY8tn8Yn2E WV/4/0mHs+6dyJsg85X1AH2oz3xvYTt9nXIlXuT0L+1Rn/aYz6yf3ssNCc7d o21YP2HGG2b+OvlmTNq+JVopnzCjZfrmZ9Lemot35re6/eiz/bGsoa/11T3a /mc7wyTkhEOSMmiCafvspyFKt7AxjYqe+bReLR51eYF5kPJb2+CsKyc/rZ/X lt2YbfvEpsSS4JNJE1cJP+v3asR0n9+EH4W4+C90PytsO/PwgaH1Lgu72ztE BSbeEvb1nBZge95HeGeoYcrJggHCLRd3Gjth8gNhp/X3HOdVChIu2ex7B6sF j4W7tAv5sYPlM2Fj7MhR71xChM0yYycUswkTfn6veaPIPuHCb+zfNX5VO1K4 836bY97PNB5dP6/X/eNGZc+u6F/NWz81tAkMqLXiU/+Pj+7XyavoA+H+vdc8 XX3hmjDjB7foOqaivekVBab9e6aFrE5ZvxSuPKj7kfUJL5Xy1QKV/KPuS3lv v9lzpoQ/Ea5041G+Wa7BSqtVXfa8bqnVbx5e4sTm63HCSxvbWzrNiJf9xvWr 2gvDFsYq+ec825Xx+IESGXv7UL488VL+t/PlG/3cLUE4ueigQwM+alzEreqx kY+ShAfGjKjbZnmyUrN/TuS9MrdkfjqN23Wj6+G94m80cZ+Xf07V6Cv4D9SX 9UdlWX9UlvVHZVl/VJb1R2VZf1SW9Udlvb9KfzL/pL/V+aIfL72/ipz+hfF3 mK+w+blydlEXYqQ95iss/k6rkpMO9/CT9Qn/Y1KR5i2WfqONF/7Qgfxt2t6b v1/+/y87Vvul9DwkfPSK8dHy2BvKPKNP8RNPtPH8ISFhT1jE78LvylxPalHN qBx+U7xgvbHa9xZYoql3/R13lfE311RtveCVcnNrQkq19LNKnfkmfc0skpRd fSwKTjx1TLFe/nRdOd8kxSnfwJ7WWSc/85/oD/fwfHYBC10N+v6tuHVpWttM jfGvWN8p/2L2xyHzHP1FP/wtfXus/8Urdx7s1POhyOskHfc756Mx/jz64c/D 7Mew+GsqX79nXmLHBs3//mV3gbJWKx8ovhOMZzLMNH/c8tn+kS0OJsv/Y33v WfRS/ISop4ZGt1d3MfTztClbdI535RIaz6x/ouKY7EfCx+tntPG6GySMvrRX upely3uvByIP7hk36WhYgPBP4e0WJK+/Ixwf7uOzusVdYfYbGPtp/3AN6ylm hW6IvFkNL4tFI64JJ93ttPXbUSeFI/361hvldVqY9UD8SXW8Npd0OXy3gJc2 3zz7RxcKvSrrh/iPqjwzcXTgrP03hCeY/hSxLcdXyou/qMp/tXf2L3T3nvZ9 nfFO8nAJlPLiH6ryPUN6RPfI1tabF+MfJQz/5EdRXvxBVT63xOCo8oWeCp+q HBlf53SolBf/T5X3vD4+IqzSC+GOL2dlzI4Kl/Li76lyl5YXp3zvoa1nx67+ Mn3opCjlyoxepcac0fanRecMZ7OXafvTmqzhl8oeuy688yfPWz1zTglbWbzJ aV3eS9j//WX7tlUvafNL1Uf8R/X/j0n0cax6QFvPFk9fM83il1htvVfnA/L7 3vcT8nyn7U+J3d1SChd4pXzcnr5ky4vHSlPf4UOmvX6p/LLwetHEO5q/iv+6 o2Nv1+DdL5Uz+/22Wg18qAx80HaD1cQ4+X/sP7Rv7fn4x5jzr7T1zmLrlOT1 iVKe/Qn57jnP433bJSnuZqdaJ+/aqdTqYW9uMenTeXnTcoejO4Okf0xvVk2f UFNjX6/kcote+Aq7FqvS+E3cHeFdFyfnK27jLf35bGS7GA+r28J7NhYNc0g2 KJW6teiR7Jyo+LSr0qae8YKcd/F3b9XPs+CbS4my/kQcDDF9VzxReRHWfMTc XtfEH/bsei+8at+NMt/Orm5pPavSAmG74MenIn4Okf/vcMjWwuK1xuuGNGrv 0eqZ0s7FztZyboxi2rFVj/y+t5Vp476ZW7p+gmJxcZ7D6+H3laWVZoeGBsTL +bLjw7hG8X3OGdhfYfZXGP8Ipr5PNb/Ir+ttkPow9WHqwxYnktuHeT/Xzstn DT0t3kUK39+4/F1o6ZfCjk69DrjVfSVcxL5CP7t2ycJBm5MXmBxJFa65wv5J yLl04emzztY/ezNT+PrYyktcA7KFS/V3fuYY+kZ4RMeoRl1j3wkfa9J5ec2M D8I5NQ49z8nJ+Sz+hX+AfTD2wdgHYx+MfTD2wdgHYx+MfTD2wdgHYx+MfTD2 4d9gH4x9MPbB2AdjH4x9MPbB2AdjH4x9MPbB2Adjnz7+yPzFXhh7YeyFsRfG Xhh7YeyFsRfGXhh7YeyFsRfGXhh7YfzlU99Xf2xunSL2w9gPYz+M/TD2w9gP Yz+M/TD2w9gPYz+M/TD2w9gPYz+M/ROu7Snn9nOq2A9jP4z9MPbD2A9jP4z9 MPbD2A9jP4z9MPbD2A9jP4z9MPabNajT76vraWI/jP0w9sPYD2M/jP0w9sPY D2M/jP0w9sPYD2M/jP0w9sPY/3DrIfdZphliP4z9MPbD2A9jP4z9MPbD2A9j P4z9MPbD2A9jP4z9MPbD2L+iQMNHcXaZYj+M/TD2w9gPYz+M/TD2w9gPYz+M /TD2w9gPYz+M/TD2w9hv43SyzJD1WWI/jP0w9sPYD2M/jP0w9sPYD2M/jP0w 9sPYD2M/jP0w9sMS79DdR+GP0x8w/iv+N/0n8SL1vFy8SFTmwJAU4Zuzxjb1 q5YmPNsY52TjkC7coI/jqeMHMoSjLqekf5OYKYy+6Md+jT7sZ5RnfYdZ72Dm P8x8gPk+iAfjn3O/VCx9wZqCAckSTyb+jL9P/CTy9uDXdsnh0r8w/uKCfTX2 5ikQLXIYudnSV33OmcWJHEZ+abTXx8nNEkUOI6//2+Wg0vtTRA7LfdiG6pZJ J9O0+wWVkfs5L11050qGyGHklabEBe/xzRI5jHzisB4NFzx+LXIY+bkeJ5YO jnwrchh5wTblQpslvRc5jPwHyzlWpd9+FDmsv7/kPMt8honvcx9AvKR5yPYJ x4cclvMKTDxrqnmoVXVbL+F1MxY6mlnvMhAfojzMeYd4D3IYOf8fnuFpv/VC YJjchwQfTX1TJo9ReOba8/t8v44VLjtpof3CRgnCA/fWNKlSM0X4gPuK/tkN 04RfL044HNgqQ7jT9N75jnbOEvYYdWrgSvvXwsY+Xx93GP5Wuy9tO9/U9sf3 wosbhQ+pPOujcL06pQsW+jlHmPHgPEF8gPtfxmPJw+Se9+bESfxQf16kvVWG tbtbZEYIsx7DdXb2651cNEaY9Vnup+ZX/bC3Zrww6zXsMDj64JDWScKs33Ce Hf0PFaqbKsx6DvdecyFPdNN0YdZ32HOe2YCrbTOFWe/hpImLjm7rkS3M+g/b DIrJP2vgG2H2A3hNV7vBfce8E2Z/gENbHD1Rf9oHYfYLmP5mfnE/x/0Y48d4 0f+UZ3woT/8jZ3yQ0//IGR/k9D9yxgc5/Y+c8UFO/yNnfJDT/8gZH+T0P3LG Bzn9j5zxQU7/I2d8kNP/yBkf5OzfyJlfyBkf5hPzDSZ+po/3/Kv3mf/u/eVM x5rfeH/B/WXghZDq3m+OG2A/20XrH93aZ8jTccmEpALhf3if9muN7uX3VjOK vE3esjcGN48VDgkPmVK6V4LwpbA+6xwapwgXvn/aqChpwoOuVGxVuVuG8IEj P7tk9c8Sfr094uWDUa+FO63paHNk8lthj3kH3VfMfS8cM7HYq9HLPgrLeKr3 Ebnd9+V2X0d/tW5WusLuoynCkWFej0oWTBVO2bWxf7l0jT26Ny+7uHua8L4S FT2WN08X7n7+gn3mBo0Hzd8e9GZehrCJhY3buCCNS8ZVKzfpaqbwGddrgU8r Zgnjz8H69V1/H8f9G+sLctYTmPUDZr2AWR9g1gOY+Q8z32HmN8x8hpm/En/P 5T4woOS0XrWitHgx/uzvJ84aYopr8W69P8t9lNyfqP6t3J+r/i2Mfwvj3+rv F/Xxc308Orf7RPF31e9Z/FuVxZ9VWfxXlcVfVVn8U5XFH1VZ/E+Vxd9UWfxL lcWfVFn8x3/1PlAdD/EH1f4sviy0/fxlp4V3fp9nU8CAbYb/3+8LY8/sHLl5 Y5g2f1puer4oMkqbL18PX2X9Vpu/PbItmqeU0tbnrInZ0x6W1dbnToMG+xw1 19Znj64Gs1WW2vpsbFFjxpgW2vrcpM7yu7YdtPV5UYVX1av01tbnQNNes7MH a+uzedZJ/8Bx2vrsk2icc9UxR7tfGaV49Fmj8V91/8V5me9n2bdpp56M0dgj 4WGz0N6pUp7ztKz3HjMyuv6uzf/uA3+Y2XNjmpTnvC3rf943jS8lafVNvJ+d vvo0XcpzHpf9YMr86Q0aa3zGalimlVmmlOe8jnxIaM5Jz1kaT/w1osneUVni z/N9nDu74Xl8ovbe64Zd4+X7H0dI//ZpEmu4U0Zb70d++67xsKRo4eTSxyct qBej7acFboSXNY0XXps6q2Lz9hrviFm19m7VJOF6AYp34iCNd476tuq1Str+ 4PBksXVfa42T+qydvt1C2y9Oer9cX7+jxjZtU+/MstL2j7xnusUU7KPxmkb9 zO1ttP2k995jrY1DNA6tdn5mAzttf/F0L+NmGK9x3RJV7xXqr+03SYtnxW11 0njuxwU1okdq+4/N9BBl5gKNc7sf1L8H0d8X6u87Gd9w597ZE4pq8X/8S/Zj mP0YZj+G2Y9h9mOY/RhmP4bZj2H2Yxh/C0Zf/A/0hdEXRl8YfWH0hdEXRl8Y fWH0hdEXxp/m/RX+Noz/CONPwfhPMO3xfov2YNqDaQ+mPZj2eP9FezDtwbQH 0x5Me7wfoz2Y9mDag2kPpj3en9EeTHsw7cG0B9Me79doD6Y9mPZg2oNpj/dv tAfTHkx7MPV5L0d9mPow9WH8Af17V5jzIcz5UOKZan3Og9SHqQ9TH6Y+/jL1 YerD1Iepjz9NfZj6MPVh6uNvUx+mPkx9mPr449SHqQ9THn8dfxn/Eub9peSX qCzvo3Vy3mdJfokql3go+TCqvw7zPUo+jfr/aY/2ec+FHEbO+y3kMHLeayGH kfM+C+b9Fcz7KvTXy3l/SP9Ivo/aHzD9oc/3wR/Df8ffYrzwp9Cf/YT5px8P /XqNXOLRKjMf9f1PfdqTfDhVDiOXfDdVDiOXfDZVDsv5Ul3fYNYnmPWG/oeR 6/MF6F/sh7EfZr7Q3/Q/84N4IvkW5NOk9u18K3ZqmsTHyScg/6ZboULR1cuk i/+Jv4n9lCceST4MTH6LvDflPkdl1j95f8p9msrI5T2qKoeRc7+EPtwnwdxH wdw/wcTPYc4f+vwKmPsFmP6FOa+zHsH4I/QP+USc5ykPU57zPXIYOed9OV+r jJzzP3IYOfEA5DBy4gPIYeTEC5DDyIkfIIeRE09ADuv7i/wpmHwo5hPrH+sx zPdN/hLrF+sh6wfM+JJvBJNvxPxgPpCPBpNvBpNvBrP/6Vmfr0R8GiYeLfmZ arxF8hV5f6qW198H6e/riIdSX96TquW5n5V8M/U+l/rET6kv8VS1PPe5MPe/ zG/2C5j9nf702L507zH/VMnvg1m/6D/WP5jyMP4DjD76/EbJT1AZ/wjW+0Po z3i3jrmxdKal9p6J75nvVe471e+V/YH1g/w4vk/2A9Yf8jnpf/wnvq+IhnnH tlmlMd8P/w9/gfkBMz/IB6Q/+R7pb9rDfuT0N/IrzqY3D/c1yv5+Kdsx280x +rPzGPEy9jeY/Q1mfsLoD9Pf8Mc+5kP3V4+R/Z/zKXLOpzDnU5jzKcz5FOZ8 CnM+hTmfwpxPYc6n8Kp1VTNjJseIPzLoyBhD334x4n84latxa9yj6M/OZwef /tjRdEaYMiLnp7CL8RGKPl+d+Cz912FYsHeKwSjzta/ziO9GT0lRrnTxr6yM fCT+AuPrdW1zvfGumr99Z2XD0zN3piuzN7bcXmtCjNLybHH/HjuuKm2sZ3qd GhGjjK5Z2jHrkK8ybkzZ2oVtI5XbJVbVyH8nXHnbYFLeXX4PDYNsP5zbeixN iWo+zdg3yqicKB+U0OXKEUPsgOL9J6YZlaeND63fs+GQoWmrFc1Kn45Wcipu XxMQuPRvn5/nVvCnFhVXRStvWxVolVlXk/9Rvl7V6NbvCvxiVMwu1j7g1FST /7v5e3mrbDye/SBS/PlrVvfnbnwVrkwMWxlZ1DlSWTglfMX+qHClkvXYVutW /P3z/fxG1Jxduulz8W9zy/f7s/l8262+mppy4qys55N/XPZjqU3+hgqd6gef rJqmmL5veGKV3T1D2OrMtrULpim/l+5afPfwYIN5t8iwSzbpSl2rept+3vL0 s/NNyjaX9ZEuB+Q8Svz2r84H9Hd5HH800SjnD/7fuC1NB/i8eJJrviD7Q4tt y4usnKt9H/+38gdzyw/U5/+hz9SELtGPPNOUEe2vV+h7zv+z80/BFbO+m109 Xck8ebjjoXfRyq1Ax/alft+r9Ol8c1Z+kxjl/du3G+sG7VOa25ZcHecVqUxu /LSVW83wXPMLLc7bHr9R9oJhRXgVt50pKcqdpPCpJn5RMr4vJ+ddXLuZUbh6 7S6NLv4UpbRbbyxe873W/+Qffn3U7mZc2gtl3OWUOqe/MSquA5pvf1Zkl8F9 zdSBTfulKIejdlS8evGW4eR00/E+K1KV5sPGPs3bLkba/7P5hYZFOQ6N9mjn uabHHAt0fvR5/OSP8g2Hld3gc//7GIl3sB90bznJ5UDgZYX9jXgH+0evVedf vs/2UdiviXfcL9MwveOn8bHddapmn5QHynTnCtcSPo2f69KYcqXLBSrnNrRP Kj9Zi3+UKX5sccHB0UrehOMlJjV9/KfzG/X5m/r81sDXJhn1Ps03/Ltfvw50 9v7ZqGRE+19/ffC0gf5if9fnA3/VN2VThbOHte+jd/CMfWX3fbY+kK+KfuIv 7CqSVH/CRa387grOYy9cEX67rvIWzzW3hRet29g7v/GW8u/mI9If/P8r3Wr9 Pq2Mv7TXrPuhtGKX7gufW1J13+XMh8K/LHm2cEp1jelP2qsyelcDC+snIu8/ OrqvU7Fg4Yy2R3Lq1goVvtB2Ykho7xBh1i95f2NutcJtfJjIu25o+XiqWbjw Fuedlt3rRgrPy5lfqdbVCGHO67Q37t6BqmejXop8aQ/fhi96xAoHtW6w7PzA eOGzl4o6uSbHCc/1LzrpofWn+frc9McLU04p9b59eXl1+xhlmMvKry4NOSPn f/7fV4en+jq+eyX1a1i6hrqPSRCeXjnLauq0JOF+2x6Zdy2gMfEB2uvbcXsr 10IpIh/x1ZGbe200LvjhxRS3Dqna99PaP8a5hMbEE2jPs4mJq2O5NJEfzyhZ eaGdxgMS2nlP7p0u3MXSqs3gyhoTf6C9lBoOsV2qZ4jcxOg0bUh/jQ+E7Kti NyRTeHNlD7dmtTUmXkF7NmV8bGrWzxJ5z4fBt5uP0jjLt/D0WuOzhWMKv40r 1Vhj4hu0ty6v5cacFq9FvvN6a7MykzXudGHyHROnN9p8eDvUNtFGY+IhtBea uv7Vsw5vRZ5wwtMpaY7G7gcDq4U6vxNeEnfNw8dOY+IntGcZkd72TO/3Im/9 W/67d5ZqbNzcbObZ1R+EHwXXStzdX2PiLbQ3P+CHzS5DPop81Ybx1fe6aGy1 Yquf66Yc4Zo+K9s7j9L4S/OXm9ZyL9RvWoxy1NPrVsKDG8LPPMumDL1x64vz mw9m9rG+92l+1TgbNcdurL/yeuusl2Vbxij73R3Olxh2/4vzn70KpJ+w/3Qe CTAvkT68yqMvzoe+8HXohYb2RolHhQV0Cgn6dP4x5hmu+C0MVu4vHu3V/W2U 8t5n2bbseqFK05j72b9+iFKu7CtSq1u1/3w+9bo8W4JfxYVL/Gtlse2N3jQN VxrOX7Esv/3fL99a/3sI+t9v0Of7fml+9l+dX31249IaqRMdDNeTSl8qY6rF uzpnLt4UXzlNOTo8ukifWr6Gq5cPXlr3MFVpnNp13S+/Rkl8aFfYvVt2O8Mk HkQ80sdtfZPzB6L+4/nauf2exNGTHrN+/GazxKPwLw+ENo+K/SZF6bn2xNCp Q68Z7Jyf5K/RJlV5X3rHrTdlb0m8j/hZ5IsgR99uqeKf2S+p+vBOvlSlYLcm /dMnXpX42sa2HQreHhStlNznv3jgfg/D0GIx5c1eRCq2FUZdTPMLU7zqx93x 3hKhtDYdY/7zvghl2dlD5dwnffK73QoP6JxkVKqE1B5cauEJw+PlZr+N3p2i OEzd8l1QmceGU7tcii7PTlOiUqO6J6YZlawub2oNaROsjO95bUGhVQ8M5WrW is4eq+W/Ed/ifANzvoGJv8DEb/T3X8THaA+mPf17T5j2YOJh+vgXTPwLJv4F E/+CiX/BxL9g4l8w8S+Y+BdM/AtGX86/6AujL4y+MPrC6AujL4y+MPrC6Auj L4y+nM/RF0ZfGH1h9IXRF0ZfGH1h9IXRF0ZfGH2JH6AvjL4w+sLoC6MvjL4w +sLoC6MvjL4w+hLPQF8YfWH0hdEXRl8YfWH0hdEXRl8YfWH0Zb1GXxh9YfSF 0RdGXxh9YfSF0RdGXxh99e9niP+gP4z+MPrD6A+jP4z+MPrD6A+jP4z+MPrD 6M9+iP4w+sPoD6M/jP4w+sPoD6M/jP4w+sPor/99WP17F338Haa8vHdR4/G8 T6c+TH2Y+jD1ec9OfZj6MPVh6pOPQH2Y+jD1YeIj+vtx4iOch2HOs/J7aup5 FOY8CXMehDnPwZzHYM5TMOchmPHTvy/Bn4fxz/k+YeIT+vc38vu5vBdSmf6A 6Q+Y/pB4ntofMP0B0x8w/QHTHzD9AdMfMP2hf/9D/BX/Vh+PJT7O96HPb8Yf gvFn6B+9f8N4MN9h5jvMfIeZ7zDzHWa+w8x3mPkOM9/134c+Hs/6y/izHvC9 0J/YB2MfjH0w9sHYB2MfjH0w9sHYB2Of/vecuS9h/FnPuO/m94i5j8Z/575Z /3uwyDkPcN9Pe8Sn+f/ynl+tz3smyst6ocppT+aXGv+U/lYZOfEL5DByiVer cpj/z+/zUp54A+VhynP/zvfB+sj3AdN/5FPDvC8gXkx5WPKp1Xiu5FOrjJz4 LHIYOfrB5FMzPuSfwuRXw+SfwuRbw+SfwuRfw+SfwuRjw+SfwuRnw+SfwuRr w+SfwuRvw+SfwuRzw+SfwuR3w+Sf6t/P8fvMjCe/r8x5j/nH+Z/3IPL70up8 YD6y3jJfJJ9FLa9/37fP4Jt/8Ol0qU8+C/Ulv0UtbzJzTU33HzQebNmzw703 GVKf/BbqS74LvwcdWcLBdLvGJbc8WKzYaPku+Av0B+sn9rN+sl6w/vD/WU9o T/L9VJZ8P5Ul309l8XfU9Zv9m/kI835H//vUvMdhP6T/8Zdg3tcwHuyX9DeM frSH/ryXYv2DaY/2GV/WI87fzF/eIyLnvIuc93fIOV8i5z0ecs5zyPm+6U/8 ecaX/sM+7Ke/YOzh+6M8/YP9yPX52/+8T/rffZ/0d3uPlFv+/Je+V9K/B9K/ 9/nS9zr6/P3/9nz9P5tv/6Xvc3LLz9e/3/mr8/VZf1hf9O8DcnsvlNv7Hv37 nf+2fH/9+6s/yu/Vx0v+1fc/X5rf/6XvhfTvgXJ73/Hvvhcinzm390D6fObc 3vfo86H/du95/st/H+FLf/8gt/dFf/V7oH/e9/zzvuef9z3/vO/5V9/35PZe J7f3N/r3NH/2fUxu71fk99hY73Xvy/Xvb/9f//0V9ht9vP6P3qP83X4P5Uvf x/zz+yj/2d9H+d9+36N/z6N/P6//fSD9ex/5PbVDgy8syZxuyO39z/8A8knb 7g== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJw1lldw1VUQh/ckJlyMJAIhCUkg1ZAACRAuLQFEEAvGFrASAQENIhIRLAgC KigdHqxj77079vKs44O9l7HXUccylhnLb2e/+/DNOXf/p+z+ds85t25xX/fK PDPbL5nlqz1OdIgWsVPsEiPECaJTjBQni6litCgUmmq+Rj9aX6eIb27bVxTw e5FYKDKiR8wX+4hi0Z+xK8SZolQsFUvcPzFIDGDsMtEr9hdlYiDfy2kHiyq+ ua1SDOF3CfsUsWcx654t+kSFqGGOrzFdtGGbJlrFcLFGrBbVrFfCWuPEWFGL hlvFAaJd1IlGsUfsFt2sNZT9NotJogm9ili7E73z0bsQTXO6F6JlP8YUMM/j G0U+E9oXMa6DfOahcQnfxouD8LNLZEU9sQ1G3176JWhfhr65HJSRw3LG9aFl 7lsV8Q4l/mHMz9kq0Xs4frfgZzd+1aFfFm23opl/24XuE8UWNJ0iThTz0COP 2PPJYQ0+5aOz1+TRYrY4ED9a8dPbMfR9XhvfBxC/63GYRR3Uillo2sTvscw7 RMwkBte7Hf/niAmige8TifFgi9poxsep+OlxdOJ7C3nNY89G9nUfp+HnNvRo wpfp+NNOrK7t4WIGPuzAnyzMxB/Pq9eE18BexnWxxmzWWS/OsDinE4g5i78n EYdrdSR6HcveDcR3KDFuYpzrd6k4yqImPdbj0cD3WcZex7CWrzPXom5yZ68b /8/nm9u9Juah317m+9w9jKlnzy76nosjxGT8m4/+fr4WWdxXa8UpfD8VewZb D3ZvF2A/zeK+87m9xFKKzr30L2StDHH2on8/fMgw389zEbYe7J7POcSVOzON zF/CeuvwI7fGUuzu+2Lsbjsdu9fmTtZzf5fj5yXkybXys+93q9+Tfv79Xqig XUH/LPo+9yJ+e3+DWMWYVaxTwdiV9KvYo5r4LrCotYvJcR258pw1M24182ro 19KuoX8u/Wra87D7/udg38i4avzoIz6v2bXkdwE5y+DvBsYuJ85StFyPnqXo Mph9NrK+n/vN+O++bMKf2cTpMU5hTBPtFsb73FnYt1ucf3/Tt9JvIrfryO9c 8lfP9+2s7bXvZzyLvt5vYJ2drLmN3973+lvImhn6XqdFutBvszivP4vnLc7R RNnbU/j9gXjc4i54W7xDrDeK/BS63iwKU/h+u8V/mOX47+fWz3mnbK9a1L6f 6b3Ecb14j1ztwO6x7GZuPfP9t9f2qBS+up9t6n9vcae+LMakuEMnq71O7WXi JdGa4s69ytdIcW8+LX60ODcNsjWmqNfRar+zeFs+EteQO9emJcW+T4qaFPf6 s563FLm9VfRPUUd3ipIUtXa3GJSijnyN5/Df5z1DXbgvP+FPvexPkVvf5wmL vaao3yEuV/8b8S1afiI+tjhbY/V9XIq6eUG8S81Uy/aIxdvyIjq6D2+ID6mT kbK9ZXE+fd6EFHPvFUNS1HuZ2iss3l3X6X60+kE8aPGOeU4eIC/u77UWPn8q HrJ4X4bJ/orFGzVC/dctzkat+q9ZvMPvi/ss3puKFDn2/JanyKvn9EpqawZx XE0sruWb6Ol7VqbY91G0cB2q1D5scTdlqTGvt6Ep4vFYBqp/l8Wd59o0p9Dn d/Gbxf/0UtnusbiD/E/Sfxb/zb8WX1n8f/lSPGbxdk1KUaNen/+Ify3e4L/F Xxb/8Yv1/Q6L+/cP8afF+/qL+NXijSzQmJss3qHPxRcW73ee7DdYvG9+jrOc 5fEpatrrOaP+LRZvjOfhM3LheahLkQvPw/AUufgfHoL2Aw== "]], Polygon[CompressedData[" 1:eJwt1GdsT2EUx/Hz1N57h6gRraiqUorae+8VpBoEoUasDrQEiaQvEHvvLfaO vRIxEkKQ2POFF/Ye35NzXnxynuf+7/8+9577/G5kyoTeqREiMgi5cROP0Am9 cAOv0B1zsRh//PymWI5mQWQhtRauoxLz6dRsXER+5iOpGTiPCOZDqWl452vq Wj3xF79Rx9fYjRfoho4oyH+3UMdiND5jEZqgH374Peq9DcA/LNF7xGCU4v+7 qNMwBS/xDHG+RkV+r4B6fuwaHvraWViJpWiJBbiK0pw/lTobl1GU+XjqTFxC IeZjqJnIx3gTdRRGoAjzbdRUjMMBVOZYC2p9fSeMN1BTkIzneIMeYue8xj20 82MXkIf/DKemYxWWoTXa4wpK8Psk6iycwxp08B7tQVl+j6XGYC/KMU+i1kVg vI46DENw3NfQazfEPpTnnOZiPSzOeAd1MibiFhKD9U57uB/v0UdszxQO1sOZ /o4bMI9HFON5KBPsnWT5OywW7JlmeQ8LBOt5pvc4V7CepPs95w22JzO8p7dx BJ39fh6I7dE070lcsAzo3p+Do6jKsVbUeNwX2/PZ/g40C2f0GcUyoXuvEcfm e3+TGN8Ry0qO9ox5QrBnS/Re1Au2lvbkpJ7LvI1eBzUYVwvW6xl+79WDjfUZ TqM287bUxqjJ+AQ1wffAV/wUy0ZtsaxJsGxo5j7gi1iWolGF3w6K7UV95kjm x/zZ9Z7u+jPl+BrffQ29dn+xbH7zsWb0Kd6KZb0rDvue0N7rN2cFnqCL2Dt/ jLP+LHpss9g3QLOvmTrk19Rr6Tdqq1imNEuawZ1imdesa0Z/4SP6YiA++TNH +7Eozj3lvdYerhbLiL47fYdrxTKge1+/YevFMposlrmNYhnXbOs3L5Zx3WDZ 0UzEMK4TLFuaqe1iGdFsaCZLBvum6LdEM/MfJdOe7w== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHeAV8URx28HlBKNJpb0GJJoqsYkphgjghwcp+fBHRxHS5QignRBkKpw iIQYiChIAImIGqMRzYl0KdKUJoIgIFhjAxWlRCxA5st8Xt79Mffdt7+3u9+Z nf3OvmvQuW95HysoKDjT/9Ry/DQVFBR5u9jxCsfPhG6Nvd3I7WVvN7d454i3 Cx2buB3ydjPHpm7/9fYZjpc5NnE73dunuTX29iC3bm7XMX+xxZrljmVu5tbG rcLtZLdT3Fr7753dSrx9pdvn3m7v2M6tvlup21Vux7y/rWOlW123lm4t5Jxb lxTzVLjdwHxd4FKpcXAStnPrDrZ36wF2cLse7OjWE/yDWy/wj269wavd+oDX uL3i1smtn1t/2uLRFV5t3AbAS30DwWvdbgS7gW3g3dp9a+VWm5jJb609GH/k xzC4iuMI+InXqBpcXnPr63az2y209dtQfNb44cyh8Tcxt2IzmjkU17Fw1T6P g4fe/TNziUsV78rX8W5D+G0MffL7T4zTb7czTuv/BZQf03hPc0x0Gwn/v9bw 4y7W09x30Ce/74R3FWv0wM9J/K7f/uM2wW2m22TmuNXtbvy8zW0qKF//BorT FN7Ve9PhqBjMAOXTPaB8egP+Exg3kDj+nT7594LbSrdVbvfhj/jOBuXT/aD8 fgAU9wdB8foHKD8eAuXHP0H58TCoGD8Cyo9/gfLj3273us1ye5M4zXF7jLa4 Pw7qvWreFfdHmUMxeII++bGc8Rr3JP7Ij3mg/JgPyo8FoPxYCMqPRaD8WAzK jyWg/HgKFJe34L7UbVkNP1bBb67bCnjJ76fBavakusZ7s+G9mmf5sQaUH2tB +fEMKD+eBeXHenwQ97fhtcltA33yYx3vLiKuynvlxHM1/HiemIr7FlDct4Li vpH5FI9t+Czu20FxfxEU983MrXl30Cc/doLyYxcojo2oD9Lf3fgmP5pQK6R9 e+gTl7Ms6obqh+pGoeZIUVMud2yYIp8m4nNTapE0sRV1Q1p8Fdov7S6mbkjf i6g50s8rqRvS+pfgK35laKr0vQV1Sbqvsy5tk65VUn+uhrM4FuKPdLtLyuuK dDurHz1SXmP0W1ZjupM7c8mlypTrvbRQuiJ9yWqP5no1RV2RXquWSFf7p7xm SEey+tQz5XVFOpvVql5wHcD4rG71Zv1BNeaSNo2B7xB4icdQnrXGMJ4173Ce NdcInl9PUW9GwluaLL1WvRnFs3wYzbM4VfE8gPWriN3gGvzGwm8Q+zSW38fx 3B2+6uvEGv3gPZ74tiF2XeGnHJuQ8royEX538Cx+k3jONH0GY6R7M+EqHb4T 7pN5Hk3fpJTXj6lwkcZKc5Xn0pnH4TeN97JaMh0/peFZzZnCGhMZn/GQns1J uY4/kvL6cV/Ka8b9+KO+WSmvE1ndED7Ivt4Ol6zGPMA45W91ymvS7JTXmIfg /ig8sjrxGDGdBe+sDmnMUNYZn/Ka9DDvVhMjnRed67asKb3VWVJt3cd+ZvVj Xsrrx/yU148FKa8fC1NePxalvH4sTnn9WEJMpYdL8WE5z/JpBc9ZzViR8hqw hjhJb1fCdTXPWc1YnfI6sTbldULP0ipp1q6Ua/R2uK7nd3HdwLN4qB5shvdG fltGn+qGNFpa0Bl/1Lcp5XUu82ELc6lP95Kt8N7Gc1Y/tqW83mzBhx1wzWrG jpTXjJ3EfR193+AbpBgfduNzR+mx27luB/z53ZTroFDn+qDb3hRa8x55MIE8 UJ/O9IcpNFTjsnuGYv9+ivufzs3+FPcDxeOdFPV4E+toXWnJRyl0bSTj3mOt N5lrJnN8kCJfPuC3Ocy3n/n3wkl89jGv5vw4Ra0sYp2D+FBBv3TrcOI7zO2r Fs9qF9IuYn8PMU57v4eYfs1iDb1zKt9d8uvrjp84Nk+BR2g34/3mrK3+SmJ5 gNho3z5l75ozTzG89+Lj0RR1Wd+Y2f1emnK5BY9WKb9nS4d+4X2/1Hegt7c6 Xs836c8dv2kxzxbHF9zO4y5QwTdRXdotvX2SxbdTbb6f1G7h/Rc5/sqtJOW/ qX6ebxEL+av1vwUHfdt+Wd+9Ke4ruqM0BM/kviI8gzvNzyxyWnHQ3eZ0xv7E Yg8U/x9Z7J/2Tly+DZ/fOJ6jb13GfoW70XDH7Rb5PdrxFYtcq+BbWv6uduzJ Gst1Z2Gs8Y2sOdc79meNhW6L3c52W+fWDx7PuvXF/2fc+hD3NW69iNFat974 ucqtB/4UsJbuQcKWrLtI+0N8RjrutDhDtzjutjgnzzne6PY9tzr4dTLWir3b 5DjQ7btuG90GuDVwW+a2gnidhU9aS/fDUmK7wfEGt++41bL4f4Riozudxmhv z2a84nYx75amuMvpDql7nOJyPEVudCSHlD+l9GstjTuJsccZq/cVx6OchUS8 9H5j9ltcSnhH72c5rftaa+ZswdmRLp5CvL7gVpYiLvXIB3FS7DRHA2KqsW15 R+9rXH3aWkNt/R9DmvdFC31oz/zlKfIjwVm/af3OvHsq79dhz7TWk45LLc6I uNcmJopjAXlyocXZvgKt0PmX79Ken1qcx8vwUzx/bHGWitCfCxmrd8/n/UvI C3G4lHxRTC6wOJ/FaN0FtA8zr+bUWf+hxZmV39/H95b4rnyuRe6ofQ75pHYH zltH9v0iYqW8PI05v2ShCdrz89hHaWA585QSV/VLyxXXH/COaqLGSA/HOL5u UVvEqyX5NM1th0V90tm62eJ8HeM8tIf/b1lLc1Qxz1MWuqBz8IbbPRZ1a4/j dIs6p/39PfF80XGqRR3bxdpa91XHGRY1cKXF+VQMbnLbhj+/ttA7xc1q+V2Q eRpa7Lf2WnWvCfuif15OtshNrX8pHJL3321Rb6QrIyy0Rf5djI/dHAcTw2sc n2YvtO+qnaqXCxznWmj5IdatIG9/Ry5VO15nsYcn6p7FXVR6PMpCk6Vz8y30 50RdtaidqoH6Fm2HX/qmzepqU/JWbX27VtLXjH71NSdXdS7UrznGam/JV+n9 EgvtOvE/XTh+Dk+dEd2nGpFX8q+Q2KrGjiOv7rWIUdNMtyzO41G06f/zMadi cwnx6eR4rUVd62wR91bMUcI80vU67N3bju9YnL19yh2LM5nID+XGXRZ7r30f 4u1jFneQoY7HLe5K0i39r1jadav23+Ie95bjbRb1VudG50fn6l3li4VmTLHI IeWPdFH6WJe8Vl4qJ6VbZeSS0dYZF5bTrzH6f4F0VGflJc6LzsHLnIW27Idy oJK1lOc6Z69ZnDX5Ic0tR3/Uln/d3Z6w0Cf50IF93Oz4vIVOKW8bEf/PtFcW 52m/24cW2vqJ8sLiDH3kdsBCp3S/GGZxx3hffC20VfHuQswV767EvB5zl7Fm Y9aVXqk+ScMOihN7eVg5a3Eudc7mWZy1+sStDM1UHT1GrnYkJ6Vr0q4S1upA fz32Srn0seMRi3w8Fw7Kvf8BcIgyUg== "]], Polygon[CompressedData[" 1:eJwt1PdvT1EYx/F7HxoRIYjYqwitqlVFUVLrD6jEb35oEcSovTex94xfbLV3 jBiJvfcIIcSq7q2qSng/eZ4fXnnOuefe7/fcez7nRKamJU+QIAiGoirG00lH ZRgETajjcAAV9BtT03AI/+g3o47BPpTRb0gdi/0op9+IOhGHEaI59M8O4i/j Tak3cBMNMIhrk6lHEYGW+IzF+M5YIUbRPo3aqINvWIpMxrKwQn8bSfhI/zz1 HPrTrkedhhOogdZ6DxYig/ECvKU9F19p5+E97fn6P7TzMYX2MVRDpM9lNOr6 nEbqXBGNwdw/g/oCbTGE/k7qLHyiXYRTtE+iJmphF2bjC2PF2C72jN6bgx1+ j47lYqvYb+iz2fQ3UZ+gFRKxEY99rr2xBvfEvn0XrMZdsbXuhHV44GsVj7W4 L7bWcdiAR742CZ6FYnTzTKyi3hHLSixW4rZYFmKwF9vE3qUUI/yatvWdh9E+ 42ubRH84dQ9KQvtmm2k/9bXrh+W4JZa9aL93i38LfUazVoiunrkif6c4v1bi 7xzv73Ad1zAwtExewVXU92sLqB/EsqCZuUz7EgaEds8SzY5YVjWTZ2kvQ5Rn 5AIuimVRn/kj9k76Ln0xD+/EsqeZm0P7jdhaayan0j6O6r7Gr/BSLOuasUWa LbEs657RrD9DG7HMa9Zmop1n7jVSxbKp155jOpJDe2YSjqAKWvh/V/pcdQ66 FyrQR2xP6FmQifZiZ0KeZ0yz1REZ2C221/WbFIhlUrPYWeysKEV3sTNDz6J8 H9Mz6Qd1PXr4Pb/FMp/oc8jyzMX4HPQsykYHsTNJz4YUsb2pZ8QvsT2ie6OX 2FmX63PVM0/PonIfi/BvUYae/k1yxDIf6//xU2yPJPg9OteH/u10zv8BHCi6 Rg== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm81nMWfvmet+3eouVq064s3abbrWgRrXfcm+I2hhSVpDB1NZrKUJYJ Q2Io1zJ2SZLslLIlJHRtiZRKEaFiPjNjhmHmeeZ53s/bH897vr/v77udc55z zvf3tht/wYiqAzOZzOYDMpkE+TN+nolMpjHkAuBboD+wHTgNSMC9QAAHAQuB LHAwsAioBTQEFgO1gUbAEqBO0ppLgbpAE2AZUA8oAh4DCoBDgCeAQqApcBcw EzgTuBWYBpwO3A5MB0YBdwAzgDOAe4CxwBjgKaA+0AwYDTQHWgOdgY5AJ6At 0AJoCbSzPBRob9kKOMvzOgCHud3Ga7TxGrm1uMbhllzjbM87AjhyvzWOsuQa Xf2OfcVei2uc43ldgF/tt0Yb69LCNmxim5Z4Deo3yfNKgR6ez31WAMuBbkBv oLvfn+uxxwC93O5u5Pbv6TVK7K8i+6+P1+D7VcBK910FTAaOBfYBe5M4dZ73 6QvsSeLYTR6X2/9qYArQD/ga2G3bfAWsAaqT+EbekX9rgdeBMuBE4NfACcAw y3LgLeBNoAI4GRjqsZWWHPsOUAMMB04BTvLYrcD7HvtnYKrfMy4YDw28zyBg cBL/GQeMB/KfccB4IP8ZB3V8Jo4dksR5cr/Adphs+2zz3hckcX+UfU/uk+/k ALnP+CB3GSvkPrnLOBiZxGHOIW9ae05bP+d43zblec/ncW638hxytYNBDh6R 8rzvmPK85/N4t9unPNdzvO2Y8rzv7HfkWG/7fYL9fLj3IO+6eH5XP3NOiZ93 u821vkniykTP4bqlntPDz5zT08/L3S7xOO6f418/+4Hj+vh857vd0+OOtY86 +cw8w0rP5Xhymnw4PonjC+xvxkG1/c735A35Sv6Wu588HeZnviM/h3p+uecw vzFHFvodeUq+kr+Vns9n8vQ3Sfw9xeNyscF1yeVTPeYPSfm1uUG+tUj5OOHc Pybl0xyXyMOWBnlIHt0IzEriAvlILpJLs5NyIn17URLP2H9JUp4lvy72PPLn L34eZ7v2sm25NrlCnlwL/Mn+uSIpl9E/lyZxgb65LCmfkheXJ+XHUp91jM+w w2vQv3OS8hT9eyXwO7d5hin2PWsfayBr4Tzg97bjaNuR9mPNvDCpbtKu09w/ yWfieeYC16R8TplqX9S3jwvtd/JniG0zy7rT9jNs+3OtW6l1nW070yczrSv9 Od1+m2AbFdu+F9vm59mOtOF1wA1JeYR6X2Xdq5JyNO2xISkn5s5+je3AnPZk Ul6bbDv29di5HjvWe4z0vHmeOz8pfhg7L/qZ7UHuH2yfzPGaN9s+vKu8AlwP DEyqL/Pdzz0usq/JQXKOfHvJ8/vbP7ftZ6e/7mfjO23LB5NqT0PrRz0Zh6xN t3hf+okxXmbb353EM3KF9SJ3j7ovqXawhi30+0Xeg7XtAfezXcvvOPZl7zXA a3AtcvHxpNpMm/Nu8GjS/aDA/azXDyfVJNahR5JqEsewZj1kvZZ4XCPvU+29 GB+MNebBup7LWsa6+R4wwmssTvmat9hn32c7D/A5lnmNOt6vts9IHYp89mVu L/VZeeZC25w6kQvMreTD00nxwvveOmBLUq1nrDybxHfee5j3mfN3uH205Qq3 VydxiH5kTDyTFHPPeUw3689cz1z0udvH2TbP+/1HSdwir15NurcMtC3ZLrNt V7ufa6zyOpvs4wFeb5XXrLGtaWfWCN5phnst1g/yrtztCsu1br/hNsfuSrpT VPosr7l/s8eVeew6z63wflz7be9bYbneZ9jid+z/xDoP9F41PvMwrzPcqHEf 9XvBur9rHfn+Uz+zzfr1QVKeodzgNjn1sW3FWN9om2+0D/p7POf/FvjQz2yT L+RNU6+xyeus997DbaetthXjjHc+xu/11pM6fub+BrblZtuQ87Z5r+0ex5pA vpF/rDW8w/De0s19O5PijHwgt5hjv7QdacMv3H+c7bfLZ6u0jif7PcdVuW+r z7DLa1Enco85i3ws9jl4hylxm+dZ4zHUcaLPWez1q1L+fv6Nx++0Dowj5tr7 k2oLazvvDbwzMJ8xrzFf7ca3ZkWo3uyFLA7FzA7I9qGYawe5NVQzs5CfhurW QMgrQ7V2J2Rkte9naH8eitXxkCeG6kQG73uH+PRPyMpQPfsBckSonv0dsiTE 3Y8hN4Vyx2GQX4Rq7L8gZ4f0/xnymBDvf4TsGYqfMyCnhGpUwr79Qrxjrtpj Tu5BX+dQffsb5EmhGnkaZKus6uRktE8P1a6zIGuFdLwP8v6QfQsgW2ZVP+d7 feZF6tQgK70moX1+iLOMF+bi/3+Loe8on/MAjD04qzw+CH3zQj4bA9kkK850 Qvur0B1hH2SXUJ4aDPl+qKY2wthzQnwbAvlR6C5yEPonhDjcEO3GWcXGt9Qr q/j/AO0NoZw7F7Jp6D7FPTt6X/qhg31BXrQ1N4qyWpdr9gnpQ13uRfvOUJ2s jb46WeWGXuj7JRTrz0I+Gap5j0A+FKrBPUL+rrK9eHdnjp1K24bup3ttT+aN S9DXNXTfqfY79h8Z0pM6LoZcGIqBAbR96I5VRZ3sI/r/1BAHZkGWhu5f5F13 n+cJyGWhekv/jwxx4ArIotB9cxXk8lDtfBeyeSgW34R8PXR/ORCyJlQ3L4Vs FMpRL0M+H6rDr0GuDtXmdyDfCuXN7yC/D9WwujhDvazyaDf0/SOUC2dAzgzl j0/I7dD99EPyNnQXm8Y4DtXooyF/CtWeZlhvaKiuMo6/dizXDr1jP/PHl6Ec 0jfEV3J1LWQmdBeirm9YX559vc//NnkSyv9LIH9MumsdGjofzzaKHHA+Iy8e Njeupb1D/0U1C/GVXJ3D84b+r6LeJ1j34yHrh74TNoZihvFySMhn9NfV9Hno DpqFfmeH8vxNkDeG/uu6gbwL3U0bh3xGf70C+d+k+1KLkL/p61+AlaE73guh Z7bp2xftX+r9YEj3/wCPh+5vT4We2SaPnjOXVoT+K+R97CdgaejeSD4+Zk7y LC+FzvNv4J5QzqdPXrVfyKk15tV7obzDnDM9lOuZ5xmXT4dik75aZ39tDuUX 5pZHQ+fgGcj9y23P/iEb0T630Vehu/gdtF/o/8JtkGWh77GCrGKY8cuccXco b9TPKg4Zg01CeZk5mTWkMKs6chfaPyTdAZjLzwzl81sgq0P/ZTL/1QvlwNah eGAsjKbtQ9+yzJ2F4XoNWR76rlsAeXPoO4S8qGtuPBCyL217IW0c+v5mjlkU yjOsjawfrB3XhWon6ybPOzF0Ztpgi+3APbd737GQ40LfaW1C8Uw+Xwb5XdL3 Ldf43rr/D3XEgKA= "]], Polygon[CompressedData[" 1:eJwtlXnQjlUYh99x7scen88uKlpoUfaKSv2VmUbTUMhS+kIon2yVFmQLoUJZ CmkQMWWrSQvZxpbKki1Gsk2ZFkqLUl2/+b1/XN7reL7nPOfc933uU7eof7vi ErlcbgIEjOGf8TAz5XKd4Rq8CEbhj8Ik/BV4He8K1+JPwRR8DfwODzJ+Ub/Q F+8T+Xc1B14FOuGTYQr+GszGu0F3/I7wM81xHT4UpuFrYbq+DXPxB6Ah/rTm wD+DEVorTMfvh354ceS/DS/jv/H7RPIeKjBOmgN/CQrwUjASHw8j8bP8Dkqe 8zbGrWEAPhHuU9CyXO4r/DDcwrgjvIDvgUp4ORiHT9Ca8M6KWXIM2uPnYQv+ DdyJfwer8cYwDv+V3yHJOSmv9fK9r/VtqMg44FntDdriP4VjtQ+a43/B5uRv nIFqvH9Ue4cO4TVqbVpzp/AetTet+VX8HL9PJueoDOOavH9CsdAc+EXQDx8L d/P853AuDsCN+D+wHf8cbsb/gy+TY3aP8gEb8YNQFq/FfKfwdnAv4wvhdw9p TnwQ9MA/UA7wGtAFHwpz8TdhnmIDb+H9obscFuDzw8/mw7RwDar23oA/YV74 b5UjxX4y41n5HCzE3w6/WwCD8SEwLHlNhfhwGIh3VEzDZ0pnaQbMUa2HY681 zgzXtGp5TnKtl2H/+5NrXmerFOO9yWfsXLhmVCubkmt5anjtqunSmWtAudc7 vcMxPpg/f2Uz50i50TeU2xnhbyvHqqX94diqpv4O50Cx36ozEu4BOvuKSXWd dRicnIP38HdVU/giWIYvD3shrMJXhv0dWKta0Tt4VViCL4WFyXOsxj+EyvhS qKO9w3N4T1iDf6qekjzH+1p7eG69o7M7Nhx7neEN+Prwt5ZBTXxnuHYe0hnR WYFq+ArtGd8W9upaM744nHutcY96ARTp27AR3xSeW3N8oVqHVXgN2KFaDs+l /1Pv2R1+Vz3oYnwvPIM/DKO1lnAvU4x19poxLk4+g7Uz9wz1itNwPf5IONfr oTzPy8Fj+BhopH4CG5LPXDflMtwbR6t+8B/Dvbw13IqX4P3dyT3nMONLoVdy zc+KfM9P7smKxcBwL1JMdPYeD/dWncEG+Gn4GP8E6uFHlePknrdL5z+cC8Xg B/wq6JN8B+3Da4djoxooqViyvmN4CzjF+ArojT8Ph/BLwrUyHNqEY6ZYaQ/1 1TvCvb4vfIvXVQzxEcm9qJV6SHJPaor/Ee51yoFi2Th8FhXTu8J71N50h1yJ fx9ei/agvV+tmk2OQUnmzzL3Uv1fZbwwc28/ktyrbw/3EvXsKoyrZn6mNf0b voN09+xIjoX2pL0oJk2Un3Du1aMvx0+G96YYHcePhWOnHCjXusN0dynnujta hM++7pAb8LPhWlFNXYYfCcdWMTsTrkHV3rrk3n9TeG26AwqYv2Lm3r4z+e7+ Jfy3usN1N7QMP9Md8ZFqJXz2dcb/BzlMItM= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe8V8URxZ+S3YuKimKJSi8P4VGkPYp0EZAOggiIgoqiUUHBXpAigr1L IpoAajCIqImVZgkae69R1KhRDEKMLcaoOd/MuR/847zZu7+9u7OzM2dm72t0 9LRRp2xfUVFRqT81JF9OFRV75oqKRyUbSc6TXCBsEG4VzhJ2UH9N4SK1HxJu EKqEavV1EpoKf9bzMuFM4XFhqXCGMFuYKZwurBcWC+2EWcJpwgzhAuFUPz8h 3CacLVzo33n/QeF6oaXwpHC7cI7QMYe+lwmrhUVCa2E39dcWLlf7SuES4VJh s9BMaCh8JjQVGgifCk2E+sLOeq+WsFDtq/we838kVGInYY3wa6GNsFb4jdBW WCfcJBwgPCBcJ7QQ7heuFfYXHhZuFFp5D7d7v08Jy4XzhNeFVcIcYbQwSThK GCUcKUwUxgiT/dsQ4XBhrDBUGOfnkR57hDDCcoLQVxjmsb2EwcIgobfn4rmP f+d5uN8b7/fGe43BXvMw7CebNRbuUftgr82a/SyZ4y/C74VzhaeFO4TzhWeF FfaLu4SVKXznOeFO+8Izwh9S+AvvTE/hN38V3hY6CP1to5Hez2G20wDhUP/2 N+ED2xV/qhY6CQdZR/Y3zeeAnq8Ke2tfL0h+Ivmp8KXadST3EK5O4TO72t/O klxkOxwleYfwmtrzJJcJ96m9S4538DHiqqZj7zXJN4Qtan8j+a3wXQofr+nx yB3c/k7y38J/1P5e8r/C9yn8v451q+W10G2F5EzhLbV3zzGOfp6LHH63VLK3 0DwFL/xC7VtSxM7nKeKHWEBH4gGeIP6J/fEae4MwN0Xs1LYOtb0W7Zcke+aY Z78ctmAvN0suFl5MoRPvEHd1c+hK347eOzb7inNg/2rvm+M3+rdiP+Ebzlry Q+ELtZ8XXkkRU++pr2+OeHxdsleOvdzr815lvO7z2azfPxe+VvtjyY+Ef3nM C56TsW94/Ft+pv8zjd0kfIWvSr4jbMUO1mmO53jJ7Y36/V3hnyn2X8t7X+j2 /32h0HkJFXqukNxO+CGFbXayPZP6svBTCs7tIXQXaqhve+HHFLy3KQX33an3 3s8RT79LkRt+K3zBXvHFtI0r6/s92nDoj/r9B/wvBfexzoEpOBHZLQVXIrum bbxQ8gSS2IWz4Bt4h3glbgemiNv+fj7W48YZjCVm4afhnvtIv8Mc+C6xDn9O crvkTiQccbQlXAY3DPJvJd8N9+/0w3nHeCx6wN0nCSenyJe/8jP5bIpwnDHe Ok73++yjXo7xxE4DtesLS1Lky6nCCZ5jnN8vdUV38uLxHjfDa/B8queeYh0H 26ZlDihzwkjbaKz1Yd59zA34IXH4ZorcVaX+ljl49sMUHIod2+VoH5KCv+Fo +Bmeht/haTie3AafkuuesM3I8xtsMzieHAD/kx/I8eRG8iE5Ax5u5fU7Co9Y D3RonIKPyMtb3Ia73hfes25t9W4bYaPaB1gOsl2npG0+daxt0ZoYTJFTptp2 E92PHu+kmA/Zy2t+7HX/7nZj64c/jbGtWPsD64NuPW1bYg4ugl/h2Uqf5QSv fYLXx6972wbkLOKMeCvjG9netsMfT0mhY0frWcYhcUkctvZzGavMtdFjS1/v 5TXJj52FLinqh2o/97Eu1T4n1iR/DrR+PXz29E33Owd5jlaej74Wngddq9xX bR27ety73k9Pj+tt/ao9Xx+f+Uafeyf39fYc8Ew/26G/n9n7AD93t94DvF4/ 6zrA47p7XDc/d/Ee0BF+pz6mTiUnUY9S58GJ1IjUi/A1dTA1IvxLvUjtSP6m pqR+HWqdyxqtr3WAi+Gwkl9KPjvZcrJtjySWh/s99rC91r05Rf39tm2N/ciR 1KPU9OQz6uzrbDfGlPVRy5+dSZX3fLBt2s1rdPEznEG9c7/PHF2IKWKCOCEu qL2pwakBhvh82PM1KXIL+egi6XxEEbFOLqSepoYm55CHyDvECnFf1uWb07ba /h8e84zmeS7HM/VpC9dmzNXSNUAz919s+xDjHdxmDLZ4x/0dLVt7DD7Z+mec QGzjn/hhW3NNyTv45AduD7Js537WqbI+6Ll/jjsZ3FBl7uvsPmqAu1PUK/Ns tz/adtQyr7iemSD7zVb7Tyn218x7/yRFHQpfveizYl24AD9t6zOb7jOEI8ln 5BbyzAw/4wf4eGtjkeeAu2Z6XGmXnrYDbWK20nukVsS326t9Yoqc2N55ETs0 8RjGVnr/tBu7n7Ed/O4Mydty1Hnw9unWY436TsqRi06XXJ6jVlsneUqO3LVe clqOXPSI5PQc9xBsxh13fop7JG3uhPf4N/qrbVv8p4P1Zx9neD/kd/J6ffc1 8l7m2Q7Nc5wnd4i6rvcek+ya41yp6fZzXYfe1LvUmc09z1yfb2PrwDoNbBPy czvnndE5avS51rO+x6yVPDlH3qY2fz5HbI6W/xyYw1cmSe6u5xo5eAQ+IdfU Ud/kHHXWjezPeyEXLfYY7hH8Dme97OfyzJGc9aNqT8jhy3w/eCyFrao0/5me 85c56mTqZe6EnNUsj13i8fjgmrQtz8Gv5LVzc9zNODfyFHUGeZLctNx9nNMy z1PWKNQnY6TDiBx18d5qH5NjvbK+YY6y7qGvlcaMyRGf3GNXWt+cQ9elnvdW r8keVngOdL3J9iO2Vju2Vundu1yXkGPINXBxc611TY678jDJwx1rY9V/aI47 BvwOzxOv8Ds8D6c31Zgrc9RqlWpfnaMOGyo51vyGj3LPwd+6Y4Mc/NxD8qkc HFvp82Hsqz4f3uHbEvdHzruJ5r8iRy3YWO3Lc9R2jdS+LEfNx1mtsw24g76Z g6PgpLU+z1vUd7TPYmWOewsc2UzzXJWjBoXbyRctbMv1tmd9jVmY4746UnKc /R/fJM9Qr+1RRO7huZ7aC3J802qo9qU56tcGal+So34lr8Gn6Lka3srhT7Mk OxVxD8cfv/c+xqnvNPU1zHEOX/o82RN+xr7m5OBuePvwIt5h/NwcMXmf7fGD bYYuPYvQBxsMKsIO8CA1PfX8zuqrVUQtcG0O/3jefvGtfa2H+h7I4ZdDi+BE Ygz/GlaEj3WW7CLsZf9e5XM/NkdsEBf7SO4rpBw54EL7ON8uFnh8YQ7mngxv NTJ34e9881jkeNnLMUNccg7E5qGae1QRfAB/4F9wywj1jSziew3n3L2Isz5Q 8v4cc3Ce3YqYCx/5wjFxL9yQ495wRA4+govIn4/nOAti7mvHE3tDP2KZ2oKa A858Ar/OcT9+NkecECPk2K32zbJGoY55Ub+/nKP2fzJHjBFfGyQn5rhP7Ch9 d+Ken4PP4eBD7NfbmY/xzd5F+OfgInIbnNIVf7GexNZPjole6n8wB8cRf32L iEHObVSO/R1SRG6A1wYUkUfhO2K3XxHxe5Dkwzn4tI/aD+W45x1cRDwQC8R9 /yJiH74ZWATnnKN22yLyW90i/IZ1ydmz7Td84+1sv+F7c5ccfaxzgtcij5HP 6vn3zh6DLx9vf+b8j7MPYI8ptkmVzxNupFal3qGO7uy58Enq0PnmBO6I1EHU Ro28FmO4q1H3UB9dar35fsMcnTzm1RznzVm/kKM2xXfeyvHtb4v3UtYO5EXy BDnifPW1L6JGWJKDI/DJp3P43Cbbp9prNXObeoVznuqz5qxO9HlxjzjbazS1 nuhOHhhSRC4Y7z1RA5Z3DO4cLRw3LY3rbcs94YYieB/9iCH8mfr2Wr9Xu4hc RZ66W3K3IurlWrYZZ02OvTgHn6Abtdd877Gj9dyliFxFniI37lpEfuTbId8f L/NZld+MqU2oJ8hVzMf/Bq5I2+5R5b3qJNseLoZfyBHcv7mHl98Dpvq8ee8c 25GaeJbXO1VrtSjiezY2O9fj2qjv7BzfK9nDVdajnfrPy/E9dLr1pa7oqP4L cnwD3b+I2pR6AjznGPkfW+EQxA== "]], Polygon[CompressedData[" 1:eJwtlWmwiFUcxl+Xc04oQnFJXVyipoXQQim7i8JVaFFpWiWalmnam6nRp75E yZLKHimkfdGILIkiqaSEkiSlUNZ+T8/58Jvz/M/7nv1/ntP0hlGVI0uKongK qkGXVBSdYUYoimXwSyyKn+EZ9F+wDd0N3kbvgU3orvAW+g/Yid4N+9DPQj/6 Ggil1K0h/pHyp+i2Y2EmujO8iV4PO9Dd4R303/A7uge8G9znQ+jW9HccZS3o As/D53xrBYfRFfAB+hD8g+4F76MPaA3onvCevsG36O+j5z4GXkY/AW/k+Wjt v0bPRXtQytg3Er+EXgzD0U2T92omjCAuJ16hvuAe4tOJE+U3wXN/GF07eg1n Ej9AWROqw+3QjLrl/DsLOhAv1Rmgm8Ed6OZ8X4meDSOJWxB/ip4DHxNfA0+j F8K16MfzerbDePRZ/F+DshFMhHbEdSkbwyg4lXgV/74CdxK3JP4MPRduI25C /ElwjkwlnqJ/gsdIfOtDvAhdUL4AY2A18RdwF3psjptQXsb/lyaPpTFOQ7dK HutV6I2uSF6r1tgL3TN5b7UHfTVe8to15x7o7sl7pzO4BH0xTA+ecwf0BTBF ewUXojvCVPQS6IS+CKahl0I3dNfks9WZVFfuQQlzn0RcDX1M8lonEj9JOYi4 LOfIXsp/o3PvOXgE3ZbvdaL3vB8sgM18q1COoefkXGmovFTuRefqON0p9FDa t9S5Eg+ifBDmo0dDCd96E3+IPgJD0Ut054JzaD56HvwQPOb9OQeVe8qJA3Ak +u6Mh6Poqsl9TdAaiK8iLs9jLqR8Hbagt8KxfOurOxm8R/fBGdQtIJ4HtxKX Je+tzuQW4lOS91573jHaE9bnfJqEng1fB99x3aV7iTcE36kN8JVyVl4B69Bf wq7gus1aa7Q3bAzu67rcv/q8Aj1DbYLn2B89DdaiXxQ6x+i7VA6VyTmtXC7N uXw3rAvO6SvRk6PbDg/2mn3KgWDP2R+dE8oF1R3Ke669PhjsdX/C/mDP+y7a o+RNuzVn5Ub0WnXn5L1b1CbYg3dFe7C8d2+wV2+P9m55trx2Y3Rf8tzB6LnR e9M22Ht/i24rD5aXFqz5cLCn7sk5qVzUHOWtB6PnLo9V7gX+PxqcgzH5juhu qK5Kck4pl9RnzeQ7pbtUhfra6FrJc9kEQ6h7LVp3kkegV8kD0TuhPf8+RnwC 1Mtndy51J+YzPD/Zs+XV9ambFe2BjXIOTY++cw3zGf7fVnOO7kO50Z+4Qc6R SsqTiKPWCfXR9WBycJub4eRkb5Gn1E2+47rbVfNduT5a684M09z556PgPuQN j+a1yCNugsbJY8mztka/oXo7deYDkt9Yva2a4znJni4v1xuzHJZF5+4OWKvc hRbBd2Q1ek30XqquDu2PT95recQKvq2Mbqs9vxq9WOsIfmPO5t8J2pPoN2x0 tCfIC7QmvQU1ks9Wb4K84/Jo75KHDIQhyW+B7o+8c0D03SnLe31e8tlpzzVW m+S3X2PK2/TG6W2Tx8kbx0V7jTzyP3vvNxQ= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0bkyQ2EAhuFD7FvEzoxCbUnJdaRSq1LJtQSdfRdLcgti5w7oDBUa+y6e fyjeeb7JyeSc/KdvLJMaL4uiKK1+hV2pWjUqoXZ1q1dJTanDF7d5owF7UKd2 J3d4qyE7qTO7i3nehd+ye1SwL3WtK23pQifhnq5vspU5tvGYLdxgM9fD8/GI ca6FZ+Yqm3jIBq6wjsus50H4f1xiNRdZw31WcYEVnA9nwT3GOBfOh7MsZ5Hn mtGupjXi82FN2qXo70C/8KNvTehdH3rRm16V1ZOeda9HPehTo//v5hfvizQE "]], Line[CompressedData[" 1:eJwt0F0yQnEcx+FjHYjjtXITYYayibMEC6jVKFpFIaRoAeQtZCZkmkm6EEvw XLh45vP9/+ZcnXA3H+UmgiCIGNLnmmnHik7pocb0Xmf1RGf0VEN90GU91yWt a1yfNKkNTeiF/rJiN/WdHvu8kXZfZ41NNnhxvyRrF/WVNjvej/rDmBqLbgUt ccac9wLzVL3vyNh7esC2vcWtfUyXG0Z88cERA1qs+jbFt11m0r7SDs98/v/D PxvNMLM= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{319, 318, 322, 702, 693, 694, 692, 696, 695, 606, 698, 699, 697, 701, 700, 607, 704, 705, 703, 707, 706, 608, 672, 741, 646, 691, 616, 689, 615, 690, 605, 321, 320, 319}], Line[CompressedData[" 1:eJwl0sdOlAEUBeB/4El8JXbuAEsibRAFBUSlGLFQBASkSLAgKqO8ADu7zgzM MAxVVAgKShHFQlE/4uLLyc3Z3ZwDueGsolAQBAMczAiCLEeZHGOUR5QSp5Vd dohwkhgtbPObIU4Q5Rq/+MlDSnhDMz/Y4gHHeU0T3/nGfYp5RSObfGWQMC9p YIN17lHEC66yxioDFPKcK3zhM3cp4BmXWWGZO+TzlEt84iO3OcYTLrLEEXLY o548koyT4BRHySXFaR4zzHWCzCBok/0c4g/l3KSDkL5d3uIwf6mgjxtk6Dtl mkomOMMkXUxTxRRnmaGbOc4xy3ne0sM7qpmnhvf0skAtH6hjkQv7v7GVGHFG GSNBknFSTJBmkimmmWGWOaKMEKGXBqrYH2V26P8m/wEcBXQq "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0MkuQ2EcxuF/nVNzNyRi605cg7iCLixJXAA3UtWkqHkealbz3FuplaDU IxZPfifvl3zJ+YbyEyPjmYgYJU0iEiZpMJ1G9DFFP8MMZCPenI35ftcZLVKg xCwf9jmdp0yFBT7tS7rMIqus8GVf1w3W2GKTpn1Hd9lmnz2+7VU95IBjjvix n+oZJ1xwTst+qVfUuOE6/fvhiDvuueWRBzI888ITdV5pY9BdOXrpoZsuOumg nWzy/5a/lXszXw== "]], Line[CompressedData[" 1:eJwl0+VTFlEUB+BFQBEEQcEAUbG7O0dRUVFRUOxCHRvEzhm7u+OT/kV2d7di tz53/PDM79yzd/Z999zdnJKywtKYKIoqSIiLov6xUZRLHvkUUEQx5SSHPfRj AlnxUZQk0ygm23q87EMldV8ZK6vJOdRQ1ySNDNKZpt+bTHWinE11dSox9LL+ S08i63HyDz34RXd+M5afdOM7XflBEZ/pyEc68InRzKOUxUxhKgV8oD3rSAr/ nzHqL3RiPcl6KRSqv9KZDXyjC3VdqypnEa+uzGt1S17Rgnzq6FeRqUymObXD fjmTOPUj+ZgHNOIhedRzbahcxUoacCf8HitYzjJucD3cK8yWpZRzmUvhjEhh CWWc42x4Fmc+SU5kEeksZAAzmB5mYs9peYYTnOJkmLn+MXmcwxzlSJi9/kF5 iH0cYH84G/2dchfb2MH2cBb6m+UWNpLBJmqxlYHsCTNjd5gne8nlQjgHzpPJ RQZxlSyuhBlyjcHcIpub1Oc2Q7hHQ+6Sw32G8ZTGPKEJzxjOC5rynGa8ZAQl tGI+C5hLOyp4z1ra8o5RJIZ3iDXqNrxlJAnhnWG1ujVv4v5/v/8A0tZqcA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl09VPV2EAx+FjIHZ3ELa3XpiAqKhgoGJPRcXEAL3wD8DuulZnbU6nGNjd 3d3d3V3PmRfPPl/ewXZ+7/kRm5GdlpUvCII/REcEQRR5NC0UBAfoy376cZCc 8CwyCCboUpYQx1GOcYQTHCeeU5zmJGc5QwLnucA5LnGRFlzhKpe5zjUSWcZy JrGKAaxmIYtoxV3usYa19KITJT1vKXLtdfQmldLOyrDe3sBGOlPW2UDNYxNT ws/vbLKW10FaTitSgUascNaFHnaGLqYPXenpbKoOppI9RCtrExpTjTRnVbUK 1Rnq5800tZsxza6hw3QLze04pttROly3hnduJzDDjtYRui28WzuRmXaMZup2 WtqtmGXH6kjdQWs7idl2TR2lO2ljt2WOXUtH6y7a2cnMtWvrGN1Nit2eeXYd zdI9dLA7Mt+uq9m6N3xfdioL7Ho6VvdR327AODvX9zOH8WSSTjeSiachi+jo d4v7mxIUoRhF6eA8UgtTkEJEhM/pPL8W4K+dTwNS7N/84Qe/+Eky3/jOZ77y JbwLPvKJd3zgPW15w1te8ppX4Z3ynBc84RlPSeIRj7nPQx6E74bb3OEGt7gZ vktWht8NunvuiZrOIfpzmGbh+3Q3scRE/P+f/wcqyoHb "]], Line[{1622, 1414, 1418, 1422, 1423, 1424, 1425, 1556, 1664, 1845, 1663, 1843, 1662, 1844, 1691, 1842, 1661, 1840, 1660, 1841, 1690, 1839, 1658, 1837, 1657, 1838, 1689, 1704, 1653, 1834, 1652, 1707, 1685, 1701, 1651, 1684, 1650, 1881, 1880, 1619, 1879, 1683, 1695, 1874, 1875, 1871, 1873, 1872, 1702, 1621, 1836, 1655, 1835, 1654, 1687, 1885, 1686, 1626, 1620, 1882, 1688, 1656, 1659, 1622}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd0wk4lNsfB3ASaUeSJXs3khLpL7flmzUpSqWisoYut4hIUikRhZJSESK7 Qot4kDZaLGnBjFnEMDMZzLyiSyX9z3Se533O83nP9vu97+9oewVu95kiISHx jDzi/kZDSW5u5RDSeeH6+y79h7CxhnUPOUPI+R+nR3/kG+zHA42UlYUIqdbc UWv2Dd+k14aGbBZiW874ho3xo2AHxfLeRgoxdJnp4cobQePVj7Jad4WoDasK rHEYwcqDv8d62oQI4HmWNjR/RdO+fxzmTBAXUDbXtn/FzooZLQXaImyT8r9w tWsY7ycVNO7biFDHqZuJoGFI5j5pNTwogmaj+UrNacO4sCJ/v3q8CF6/f5o2 51A4L82ZdjdLBNlgw3dj+ynoaRu9CKkQIcZka6+NGgWJ5p1+oY0i2N5PKV1J 3qs+9Hh/v0uEg7+0rR+YiSBZY9K+5Cvpb8ibdzwR4qzOs8V7vonA0vgQ3FIk xNPRSMkz4yIsdyvbyL4mxP3X/r65P0VQ5D2Jlj4rRIbphV0vJkVYmMkZsTks BDNrrE3+twg38uyrHP4VwlsuyMaTuMhKpdrZXwjDNyMF5cRxqRbf9x8UQvNU lTOd2CTZQN/LTwiJP42C758mhP7knrZ5xEmtU7P9fYRImzuSr0escn5UcPiA EAP2RXZbiY0LgjOOeZF4Xnv3hhGH1+klRnkIUZevcyyT2Oq7THW8mxBZm3Jr 9adQGIpSuvrVXoj0//ztyqUoSGlVq4WYCRFvO6a6SpqCsvcUrZmLhFA40mha KUNh5mu3oGo5IZwmPI7Pk6NQlbnY8tn1ISxmKXRKqlA40/aXtKXOEBya8mln tSnQLEITFMsHUb9l1o/UJRRm7H13e67FIHI60l+tN6bwAMfezW4fwNvK2+tk 1lLIfZmVoWE2gP3nGN/pNhRU+xMUnbMEeNW8j1/lSKGnxaV3y2wBOC5/SRTu ohA4+ciuJKofGXfmORaS/678JKxP/fsXTDRvGazxphB0r6/ZJewLOIkaGYX+ JP8zeYGqb/j4vSGnoCOQgtrAB8dhbT76TqiHbAmhgICKsS3RPHy5vq5aLpTC a/0wh7sDXKS9X51kQPxXbdjOW65cSC4ydckm83/Zx2193NqHeR9efo4MouDS 6rAo074PKRIOS7X/ocCO5xyUSelFsfHS7EQ3Councgs0eBxoOF+S6NpGwVIt PXGRFQdhfQYxRhsonB3dE3a4qAeFjoofbxtSuFWgaeen3IPN0oMdTkrkey5f IXfxUjdWjXW5v/4hQpm587oDc7ph8tEkQ5PUdcdTl729g11QdZ3M0Sf3ZYFO 0FjyRzYkk6rGghRFcK9LKYxrZiFhW/C++GohjAfZvzI6mcjTXlcmtVcI9w/Z ffXjDEw7v7T1yH9DkF35Skl2CQPPZd7GHUgcQkF/Q2zsP5240vPjrKbUEOiF DsUxiXTwSw0WlIUMYt+avNl33tBQ2XHkmHb3ACR71VtPq9AgHZenEb5pAP5h 5uWMUx24qD4+llcuwG4LT+XEsXbcePduPFFJgCWC3Q1xZ9thFrFxyZTIfsgH RAvaNdoR9aw19WzFFwQJ9dmxj9tgXjJYR1F8LHywlV3v14ZptkWZCUZ8OKdL hc8wbkP8duNav2Aeoh4Hvf0l14buBnamXzUXpZeNwwNk2nA7z5hpJ8vFoUdS MRZkvDRDMjxnXx+Kcw4NxC9rg1f03+nnr/Qi1V34TDegDR5jDSGXP3HQaF6W F/myDeluCmrqWhycOxy4y2BVO6Y7LfdyDe+BoKxzXmNdO05+XrbGntWNk4mr R4bdOkDfGGTRtLkbxwxY6bqKNOxekF27PvEzLtToTX/OomFuAdOw90YXNEfG hqQq6XipKjDNd2UjbbXMYm85Bny1r1aG2rJgKtjXtPEcEwWFOYoGLkwc3CHb bD6TjYt3X3knlDAgn7Y+65ZHFzKLCiZuzmfAqrr48njVZyRlSbmdLenEvz+X 7DQ42I1TTM+nFY6d+KAtmOgf7sb1BfulDSbp6PJ18kwgeQSlSJz4XEWHWx1j XOJnD6ZLRxlxTtIhG/tNbW84B6ev6g7bb6FD59WBknYRB9MKTIXQpePuVsmu No9e+ExUMiYoGuwk1HqyZfvAdpMLruqgYTZn+uiv4304ITfcOFJP6oJbF3e6 uw8Gac8Msqtp6Daf8WrLWi4YGVHmLY9p2HnP50ldIheKWqsdMqpo8BZaznRu 56Iv+XKGw1MadBw3BhfP44G1ytrbqJGGNE+tt/6beJgImNHpzSB+UBn98gQP 7DNz5lsJabCXfCEIyOPBv6Geu0SaDue/fXc6v+ZhVnJuVbwGHTKbDCN8ODzc Uysz4ZnT0S/QLg8e40FuFUvq0y46ug8fabKYxkfyye+jw0fp0M645RijwMcc A7aJXTIdS6xkND1V+Fhj0eOtW0qHQvQVykudjz1d9y/saKKj+K6SwpAGHyeu zL9d+oWO5ZT+rN3EFn0q3LkynfCjPM8L1fiIZT/atFu3E6dNSk3HF/Ahe7eF e3BDJ1pDPcvLyXm9h6Tlivw7YbYtbmhYlo/83gVvf6d0Yv6s60l7f/Fwc+85 J/Nast/cqV99KB6SpN6NGvZ2IujNi6VHSX5xOpouNbIMPHkbmUX7xEPf+aOK LYYMFP8WSH+q58G4RjHSaSsDQff7RbcqeFjUYHBnXRADh1omOz3zecB21umL lxj4qbyCY3Odh6w+74l1DxnY+kn/jFMMD3Uqk7NT2hjQGl4YwQ7hwa2cu+Pq CAOnfEeXyXrzYOka6LlNjonlGYf6+dt5GDin9rzTgNS1326PBCsSv2/wAlsr JlZt7OD+NiXzP9m63yP1PrnGLNBOj4ets35mKgYx0XsmWN1IhYdaaIc5knvh EUGxlGfxoOPl7H06lYmqpO6TkhI8pB1P12vOZ6L8arMhZ5QL5ZjQdS4VTLi5 Rs18IODi94ctfvYvmIi4bvXAt4eLMzPrlb58YOLAc/MmOqk3KwYzVvIzE6sr T1e1NnHBK3yoJOhnYujSRJL+Sy6Y3bbOwq9MRKqmr3xWQ+rT40fpjh9MxGba 2h6t4KI8Vs5zjwQL1llHP+iWc+H3fuFhJxkWcjb8T/JOMRfyRt0R72awkJs1 5r8pn4sZutHQmsPCyoTckt4cLiqnFFvHy7FgSZNgWd/mYvOCxaVQYCEz4oe7 bSYX5/Yc/3l4HgtrT+bGvL7FheUJ63xzRRayauVl7qVzcV+vsiaP2GyP1IgU 8eBT5r0h4q+1rsui07jwkZd3VJ3PwpWyiAc6xFM2meaZEKdOVNGYN8n6skKL tcTXuCy1IuLwbPeINcQ1evgVQ9xXWFKxnPj1Uc1HfsQ9FZYB4v3SvVXYLsQr ru+zlBKvN1CJ3EVsXJuqPkjOv0vzcROPG3H88jqIHb+U57sTS/JPlL0k9vTl Bor36zhTJF9KbG9XeSmY+KWzzp0MYvfGspuRxBpO34uSibv0ZDnniKtDZ1jE E8vuFWy7SDxmzU+IJj5VT1O6TCxh0vL+NHFb+ptTKcScKKlLJ4kXLj/05Brx J/ZT/Ujioto46+vErYnXnE8Qh1m42N4g9rk21BNBPO2BgkBsx/W9RWIvL/Bw uCmO7/bxNLFd164OEdvP432K2L5qsYliTxtc+MdhEXpZYs+X3JYqtoWvc7HY tSXJOWK/XR/6SGyVN4P3xXaz0f3jv3f+eir2qExWmdiSls5NYjurzP+zXrnl /CexZ6kq54kd6a3UKfbU6UbZYmfOke4SO2Tt+gyx/w9ZsRNm "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Qk01OsbB3Ah6sa1ROmq5J9SSrJ0W8RXRBsqRSJKSKmkkmQpJIVEyyUk W7KUImVLZchw01jGPjNlnRWTLTNi8v+57znvec/nnPe8y3Pe93nUT16wcRcX ExPrJPrsaBIy2veWNAH7bVKrj8VMoEZeVUGzcgLM5BL207sTSH39x/aO/gn8 eW6LnlrZT3h2GaoslhJAZ/Lnwfvj45gb+P557yoBjG4VKKZsG4e7Ymx2n4kA 4idDZI89HcPRtcfcPzoIYHFPhpQ6fwyfL+79dfGyAMoxh5IoAaM44F4RKIoU oNj4wxzb8RF8f9EkOp4mwOTMFk7JpRGYrI6KflwkQFH6t9I7E8O4FHj2M+Oz AGuzxnyn0obR0rtqIooqAOs4Vad+/zBUGEHUzC4BrsS+EyPP/MDBC/ELtAYF sJ3x37fd7QduLnGzUxEK8OKRSVzdVz4usUixvEkBNndQko694yPAOUm5dEqA 9aS/NaWe8mGv+rL/pkiAYFf9BbXhfLzLyhftnSH2H9RSTb/ARwhlaJ8fYT3L qlab83wYLcqNzSRcmPWJInGWjxZvZh2VcFi5ksS703z4dP/Pg0t4o6xSXrQH H2L/NSFO/df4qH90NG4R4Zcjyupw54PrZ6OlTXj4yaKBxW58dJWFWjkQji8t Sv7XhY82to7HbcJk8r3ogON8fOUfvfqW8Jt7D8u0nfhwbauUvSIuRHT1nMcb LfjI/DN7UFdSiOAWntY+HT76btQuHJgrxBTZf3eQCh+9N/tCU6WFyLitSSbP IVwiXkVVFGJhy96szZ5DGIoYZR1dJsQXvS8ZaW2DuNYg/WKTphBqVDe1dotB XJUmUd03CuFuzXqcVzaAkXHPtbwtQlAK3/iKdAdAMk5VidgphD53znmc4eGX eYNYsjVxXzMJ3ussLgyC+5+tOiKEW2zTqf5BDg5PWImtdBbCZro5JnALB9mh tH3/uArhQ5WZpx7JxnHt8jlBHkI4LZi5ENrDgiDDXOGYpxDnY7t3BIqx0BG2 8dEuwiYV197uW8tEQ6vHP2bE/Fsf6DVHHPsxvcVlv62LEJ6StDqVuD742P7c ctNeCLZeyJhyZy/Cv8rLt1oKoaTRa9S3she6UpSeQ8ZCPO3/nKPm2wN+Hykm REMIvVofv5bb3dBfGy83j4in67GCwFrrLlgV7DNS6BZgumHJafHsb2hXMoz7 +o74L94eXpwlDBhHmE55hRPvj7HUeWMGDcfcmPZ6NgKs9KHlvjTtRFKxw2bb JQLInhX5WwjaccXxenf21wkcZDjvjL7ahkuvK91rrk2g4neRzoxSK55Mbllj rD6BsxGKA92UZjTRCjlPq36ivXZI7W4qFfphu0uCXH5iOtNX8VxUE6qDZ8a8 psZBLpqqnbrbCL4R3Wnug3EsX6r5OHJXAw5tcJDykx3HnuGhjBVmFHx4XVhQ emsMyhqFT2Sv1CEu4Wlj8dQonHLb6WUd/8JwqEt9v/coHPffGPt2phb250Si Pf0jMA2mhgdo1GCip8vtuP0IOjn8Xo4kGflVOm/1KMNYIny57qt0NV7WG3EP mQ0jp9dtrarWZwTLVByKVfyBGz5owJoq8Ko3DlplDWFr9dba9XaVMO2pKYkk 3l2g4I1lxisSxCXlWHdHeFC1+WMztEl4sEJh0c4cLrb/+rTiRH0FHD8Wmtp5 caBrXKq1MKYCMZ/MstbtYCNZ+5nZ73MVqI6Q8plUZyEzfZed1akKzNs9JpvP 6If0tP/B08EVsIlJrrB60YdayYVNuh8rMCCV7u0T3Ysz4QVJpOUk5MrKB6eE 9oAjtl+8Jo2EHJJJxYbIbmgcXtnqvasSMtNum75bdMHYNu/KEfkqsP+QzTdN +oZyidNcD1EVCvKi3/2WY0Cox+TUy1Xjwo0Fe1ao0UAZj2SM1JFBJxtc/8u9 A07f7fqErbVI1Fy8uPNbG9aKZIKP6NZBySNC/cytVsybU5SS2U1BfckmbTH7 Fhj2bl4edKkReQZzWmcONoNN1RhNXU4FU/OMsuACFUZLL89rGm1GiaRWVPqr JpxuzVULHmjF+icqDoN/NOF+8q3NrhIduJN/RnswpBF627WGgvRp2PaTTFPU aETaDkv5I/MY0BtbkH8vpwH2dRCL7/0GmQ9myT6rGiA+nbi8u7wLpEq5qJOl 9ZDma35i1XajS2uJp6xrPQKURnwWv+rBp3jWj0Mr6rGOzFmRGtWLeBPDpcY/ KLi1Oq/17PE+5FpFOU9TKJAeyPOq0uyH3YSaI6uMAsUl/xux6+uH5g3akWtv Keji7SzCfSYkXeYetyulgP8laMv0Rhb8a1zWmNRSsMlmce+pShbMy1/QVIg4 xcYMXssxZ2OE3F3UNUOBSIlZveE9G9n+JkYfdOvh0dKzzH87B7J7Jhdpna/H dGLu0O1cDpxX38iuza/Hgv3e6orSXKjc1W/2nKoHP7c7n3WIiymPko4Flg34 arenoOEBFxlqR5u/pDVg47hMemg1F0VNM5XMqQasEv7s+GeIi6PMyHja+kaM qJ764C/Dw+sciepK50ZIODs1LNDgoftZykn5B42Qz6hyv27Aw3wV04t3yI04 4SFpwTLmYalvQblgqhG1A+mGujt56LO981xXrwnbv2wa1zLnQc+1XU3uTBPa vY/+Djbl4fTk1rrzqU2wTs3OJW/n4Z/x2B06HU1g/amQ40esHz2q1Ty8lArL st/FTpo8sBMrzEddqPCIdhdLW0ysp3w3RSaLioO0TVbVc3kYMHmvs2yQCn6M oMNglAvj2Pd1krrNID3YIGfxjYsUxkP9rCvNWEya9EYNl6h3t+N4pc2gvhKV OeRzIe9pm5Qm2YIURY2Rw3Fc/JXyiptr3YLkTFup1wFchPN32g7Et8C670HZ wxNchJ6fn7qnuwWskFan1eZcJLqKzF5ptiKgd45n2FoupCNy9kl4tUL/sR+J LMuFoeXWvw0KW2GVWJIpPspBQkzHdcpMK7zWk09+pHIQaOW0jbS3DdsoZM3U Qg6ar7srCx+2QVVr18j7RxzQ7hk2HaO3YWnz4VMrfTn47rjGlLGiHaLbR/ay jnAgDHU44O7WjrhlokbFbRxYP1//i5PZDlapNP3dUg7SX5qWr/7VjsN29aVW E2xcTV1un7i3A4tOZdWyGtk4J1CI0o3vwC/mqEH8SzaMFW5ldnd14OQz7uVL EWwMcLROp2t04uS6AJcIDzbWPWyvv+reiRPch4d5FmzYmVzPrEjtRFdO1aPA NWwEZvvGnuroRNyrtNsOC9iY+8qu+JoMDVy69pvIH0R9HH4Y9acRDWW6NgEK rSzcHxZ3MvKk4bmn1daR9yzk+X25055I5J+8kyH7U1mYkDLNWF1DQ0V9cXlI OAuP415bnfhBw/sYx5YQLxaMAlbFf1hIh4XPQLKFPQtdDNavawZ0XDm1WPOz GQvxjeu+fXamw+z5FcHlNSzk253x9gyl46b6sjkP5FlYsktR8uwjOhIMO8JX SbKwzoYp+/AZHRJf1B9VCJnYHKa2WbqQjsJ05QBbPhPDZ4vpvE90nBCV7Wrr Z2Jy7taO43V0dHr0Mw0YTKLuh73x66TDOXXa1rKJifOOysE7mHT8iBXY9NQw UfOCPjz/Bx2bDQJbvn5iwvZsqv5fAjqMeBu8uCVM/H5Q9+uNiI4Jf7HPCwuZ WDVw772sBANk0fVmrVdMfFkW6/OEyHsXr5o8b89mwlzubkKhDAPBqtIzhc+Y MMiK+J1F5PNh1z52eBoTuYwPZz4qMGAtZCWopTBxusCJpr2QgbWhtj8PJzMx Pt/7rboSA1VDCxslnzCxMdJvJoqwSWWIzskkJiaWzt/RSfji7ymfrkQm/CIS zOWUGVgZyrpwlXBEUQdTj/CoMCZjFeHE+jWauwmrG2ltYiUw4bXt/tmDhOXt hfrlsw42cjlM2DD0u1MSYVpK2GUbwn1GDjqhhIXl/EZLwlNj9KMXCB/dfe3y TsKtfl0fXAh3G1SprifMUFjz7CBhuaA2e3nCY2Zfg6wJf7/qOD5OnNcgZ36V DWHVf5PG6YQP1N1sdCDMClfaQyZs9lp40I1wy5vbBm8JP/cN6zpPOEXo6p5J +JfagTpfwhf+fl+RQDjeyTTmOuGFiZaUWMIJKdJytwjHazcqRBLeax12KJKw 5/wty24RzltxIOAeYVungoFgwgMmUuYPCNdK7DW4TthBefnwI8LDWrY3AwkH jveS4ghruw6FBBAmX3aciJ+Nj4I0y5+wKNO74TFhzsq81Fn/tp63L4FwWIB0 1KyDBL53Z50y4Bw9aw9JvJj12Ka89Fn3GG0r/s+TxcWzdrkfXjjr/wMRFQlJ "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Xk0FNwbB3CSVC+VNlpUUqHlzZqSfFFKSK+t7JK1VIrqRSnbm5ItGoOx E0YhFb22EJLdyD5DwhhjmRFZss1v3r9+95x77vmce+9z7znPee4Vv+piYL+C h4dnntv/G28HXR3jcDggvdwbf4DlC3GtTLV1vhz8s/ldn26zDziyHqGeIss4 Yraly5XjhVNrT76bK1rEEZe14oHBHiiaXiuo6LKAAJ/Ladv57uPt2AAzfug3 LjITT/uEu6IiwyRLxm0OfRkT2c3tLhgZvkNZ3DSLs5nmJec/OGM6ylCn/O9p mN3kq/tU6gjDaKt332anQNTk2WpcY4dueRO6ffgkTIKz93UFXYWHq/KdA0sT 0KxekNR9egU57T02bpvZuDZlNrtdyQp5zqPRMZ9G8SJAsNKtwxyWAfJeByqH cVB3paPNP2bYeny/k6UbHReteR028pkhXLVMRellPwSSh90XCGYQKefXjxbp Q8LmYMl2KQtoT2c+q+qjokEj5eT2CisorKc7WhzoxFTi77P8Gja46L65WW6s FQlqCi1bKLYI+GVi+tKmBbUmkRSHTgd4ifL+Sj/QjKKQD/vOfrwOB5Jhipdt PY4LzOXnJLvASaK9JvfXVzR710pmsV2hdFZ8imeyClvOEN0n+u9D9lTYTiO9 CuxrmlRcGniAMyvz98gslyF2cqS9WswHRNOva+pJpahcYTwwru2HySee/ImO JUjxS8jdUPMPEuJjr5dYFCH9SEb/xtSnuKjzmwD3AjhDvSGE+Rwbz/pP/P3x I9JMCN/WkUPhbbFhkSmSj6QBKSup+Rfw8huV/Fn+AWU3jt8QkniJgwdUo/J8 36Ohok3bMzwShBS9oG8m79BIZ55U1Y/GxIxR6LJGLix7hPZIX4tFhfijWQ7e YuvNRpc99AQEXlQSPbozB0d0W5MumSdBZlxE2rk2C/wGv9VCBpPhE3pLgfns DcxUn09PhaUiZ5ftjmHT17DfGFpx1zYNFdKZMzknMnEyQFL8T+sMqLlV8vZs zoTK70OPL7zKwLVAmQLdCTIUBgUJCmMZaHbgFCzXkeEpHOhAlyejbVg3eTKd DLMPy3M2D8kYMVZ2MU8lQ64reuSNHxkEcu1AZSIZb38TR38HkjG5NMj5M46M gzmPF7XCyaA9pyjZkciQqlxe/ZNARkz0f+3/Y++90oPNRDJWyFFuq3P3+Q4G 01dFkmH0mlnH5Ma1PXI3+y43TqXB0rOTGWSITPeJDYSQoem3zSQ0hwz54CJ5 g+fcdYGVx+j5ZKjlyBXVO5JBT9Zj5vJkoqPsBTXgDBnr9heaXtTJhGhTl6Kf OBnWdTFRpZGZ4DxRd/60nIE/b10vXjmQicO3Ge+6e9MxLtk11xyRBcG/mm7o NqfhiTxnqun0W7guxc6otrzCXqupBIH+XKjuyUofHkjFy+5I/sfp7xHrSlQN XJkKsv5TtjoxDww3TqvapRTI7QoxcTb6iBiW1oB1bjJO9y0nE+UKsMlm6fPT Lcn45t4fHSVfBAmbhaArvkmYqFIzP2VaAm/BC72hs4lIuBtQpPuqlFsvifGf 7ybC1jPAoVSwHAKFdjdnhBLRSSSRn4p/RpNKgmaMSQKoq19vPaxZAXZ307Fj CfH40mA3sMG9Euz6kU5ndhycivUfRhRWIWbPhbRhrTiwrTWIfELVaAkz3H4l NBa3LStTnr37Cl7qOlP6DxJ2SVykCLjUov6yYsE8SGhdu0ftlUY9Oio95A+Q Y/C6V67R6kgjcjvpMj93xuB+n+UJH5FmqGb02w7HREMqOS6VIEGBXeUPe8lV 0fie8LQg06cFq45bxJQ9jsL1LqeeJfY37PZUIDFWReHsTLu56802CFzevrsj hoh9tvlHUufaseF45EizMhGkU/JXRkI7caUqo0lsKBJ0ksdOC9lujM36LDmQ IuHHsnlO76VirWTNwS6zSLR/VD+hFt6Dv5rrdjVKRELDbmZhWOs7DJreK6ZP E7CuM3DbPu8++HspuTQ0EfDC3/Fdn9kPtHZcvZ+bS4DXF0KgjXw/PJSvJdbF EHB99Sd+59UDkP6xQjTAn4B0S77HxmcHEZb8LKznIQGm/ruSWafpuE+fr9Tz ImA3RYyRKziEU6Qsf1s/AjLbnPiC6oew81O7dXYIAU3b3bt7fRkIjl21tTae gNtiV/SVjw6D57y2sul7AhxVejmmlGGsyhFo4K8nIM1y8Lf4NSYsvlR/8x4m YEu4RUzMDBOsB1fYPqsjsV+psnLUYwRy/P63NxlEoq71EPOY7SgsJa3y1SIi UXzs0YwDZxQGifP+gd2R6EtviD4aMIbHRrIeBpJEnK3ftdF9cQzeR52WN3gQ YbD3ppyszTj4rq9zMWgiwppXp1Lt4zicy9K9P0hHwTeUIuXGw4KJwd35gYAo 2NdWm7mqskBeXiLHMKPw8ek0yl1ZUP+7bCjeNhq7G+99qklj4Yf6ClmR/mjU X/DRq2lmYcTgxlypXQzGqjYTvSdZ2DmeQ7EdjcGI39SCkxAbJiUTwl33SGDR vRVK9rIR9cS+mcMXC2sxrSEfeTbe68uplhFiQcwKLAlWY8NWTFpzzaE4XGvf VBWmzUY1pc2npysOGz/3PuA1ZEN3VKxbMTgeLbN5xAET7nxj4fd1mgnQitmm XGrBxhU508N5PIl4vEI7mGPFhp/STQlJm0RYW3l+nrNmY4m2uL6/IhH2bXvo Y1z7eS5sHZNKQk/Iwdz1XD+w3LVmIjwJ7xqmB7ws2ZgaWEu/w0nCk4KVgRbm bMjKf/r7wa1kdIhfWKrinp/6tea8SF8yjkTzpjYasyH5Vt7nL6MU8FfzqT8x YEOHihq5uhQ0auvMz+mx4b5mXLX2TCoaiBf2y+iwYX/zkoB8WyosbhY0PD/L hhNH+KjdtVeoopE0yOpsaCb0q7rypoGRbe8bosLGnEK9rGsc13TXRiixod+U 7+BxKh0zBTrbymTZKFb+GRH3Ix3H+0wshA+zQUt1ZzzNzkBoNbFjfB8b5wKz 79X7kKH0/fxMgBgbh4cLU8PMM/FFUZOvbwsbWo3FZ5ZPvkaVtX/WNDd/P/c+ eKgq8Qb3vUgKX/nZKKVF53sKZ0FjTd6TS0ssSIWnR4T9lQ0eJxjycPP/dmED c4GUA5f0UFu5IRbqk9uT//B8i8Itfx1idrEQqlzgFn84F3rHyob3NLDg7F4j O0DPRRTB6X1bKQu9jINaZuXvcFJg+ekfb1mY/SC9sPDqPUSnPHYEJbAQ9ezH 3KqXH1CuEqCtH8KCvqMv5ePzPBy90zti9JAFOXuK+quv+WC7/NI4ac+CImXc 7uvmf9FmdS1xRJeFFHKV/cPbBXjS8HD+sjwLBKeaWWFaIWoFbyS5i7JgHG9g 1HC5GGk/bDQ1Fseh9PJGibNVCcTf0J5nDI/j10T5wpUbn/DeQrDjVus4HB6J 3szzKYVTACMivHQc8K8oP3axDPEPGZbCmeNYzqgvPvOjDDOREvzMiHH8o+/6 /c2tcijFuTtaPhrHpn8zVlhwyiHbu//SCadxhBWf0NGN+IyiNZTIB/rjWJgo z713sIJb368PSyiPY0hkcLChsgIjGdWWR/eOo7nIq0X1ShWufD10ufTHGDT/ KOBgfTVW6Eu5aseNwbM38Evqrq/4FW+TnXFnDBsi2dmnFGpge9qal3hmDNNj Exv8LtaC/sTQaffWMTwz39jf7VIH6a/rG/WGRsE2630d9bIet09Z/6mYN4rF Hu/ZpeIGRL01eEP3HYWsgkqHllsjrityXqdy3ytG3pHy2webUCqUarh8ehR3 Cb+uqvc3IaN2L2VOYhRSEhuUNC40Q1G7rC6GbxRNr/v7vMnN4OmstBntH8G5 M/eaq5QpmDC6+oaaPQIbafuWyDoKdqwNqFHwHIGvq+mZh+YtOCt8QHmb5gho 3RmPFpktSGeoTGStH0F4bKFS3P1vkOl4KrS9m4mSbebT1/a2YqEkcsaeyMRR tdjWrJpW3Exz3sFvzIRSZ3lciHMb+ANkDHU3MRHGCFZWF2hHamSI9YuWYSjY BFmti22HyFHL29IRw7C/kPvoknQHjFe8fuRoPIxc4zab3Acd0DYTFU6WGcbK UmrKVG0H0n/NRGQIDqPC2b1+tUgntMpqJJ4zGThOTmzos+6EikRko0k1A8qC Wutvv+rES542j91pDDgMOOef4u2Cy9Xq0sseDLw3nAx4dqkLC2vKidl6DEjQ 5hOtXnWh+/68r8oBBl74Tdt3jHchn/dP8c08DEh2vDi+U6Yba9T0hTRoQzgk 3rSVx7wb5ef0qwIrh6BsVzLB79eNb+83flzKGuL+/4YBmhndUGC+XRUTNYRU msKLztpu6CemPrL0H8Len3bXuke6EeDwJOXMnSFIVHwyChKlwli4g6FvPITN dpgJVqPimMPz31tUhtAofG7axJaKinK9b677h6B2yDzf0YeKgVmX55rCQ6Bk a1PkSFSYvNO+7sihwyLTafvRXCqSCP/MZ7PpCMqnyhSWUnG6bYfE4iAd5w+R mB71VGwu3iFmTaWjJyz7HKmDCuFOVfnKFjqI2yYJWj+oMKpgMUXq6CBvGLxA ZlJBO2Z65FwlHUaXogV8p6joVKVk8RXTsYKqLHlrgYplPf2dO/Po8Ap78e8n Xhp6R9XoV3PoKIoScytcRcOB0wVC2Zl0XL9+zCJ+LQ3Zf9s97kijQ0FqISJe iAbHodWiJSl0OBLoJxjrabDVJr1US6LDrebR+ThhGp6i0OVcAh03KOs9v2+k wcdjML0wjg6SYvTG6k00MDO0HzyJpUN4bVK202Ya4ssf7IwhceP1lE22cu1d 52XLiKEj6dDIXv4tNFzNJtwL4vrw+fOeklz7t97cpMG1aoFqoCrXqXFiDfxc X6gy99XlWvCczuO2aDqUbPRUDLn+92CPTg7XaR4tNgZcD1qu1PDh+ugvuV3n uDZ0cv/DnutHPrmfFbmOXhuSaMz1or6VtTjXjxaCJC9yLaTQsl6Q64Ypu3/1 uJb7XLd/gntfxscNvEZct/sL8HZwnUNz/GLB9TlRztxnrhVa7k79F1+4dkjh HdcfHLJWuHD9P6UB7hA= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd03s81fcfB3BdlkLSKCRRTlgKD7nUL7xqUu5WKZpLtMixROWaSEhLJKWE aNjWKpqfyMxl6aJsrZpxnMv3K531OY4ctw5pkvY5++Pz+D6ej+/n9v58Xp/l e6O2h85UUlI6T5vim5824HB7Kw+h6y1WBuS+hc+ET+erSB6436S1tWm+hfmB V1sLLvKgFy1bFV44jrChwrKoJh4sI2ocHU3GIQ/T04oR85C1XsxLbhpDdN3M HPGCbmgtMTAc+nwMqywchcb23cgIqwzw6ZAj0d3qgdv+bhiFaP7QzJUjwOfD ed886sAPq/zmylGg3qK965duOJWM3I2seoN55ObB6IFuaNjH7YhwfoPD57ar qunxkTmYt8WDjKLBUltm68oHx9qTb5c9CsPfS7dMx/IRpvF2Mmr9KIaP3yo4 WMaHw3dXzbbJRmAxmOqZ08VH/jgv97sLI3j0p3zOfWUB2KCqRNmmEZQLnRuM 1gngcFKp5L5sGPkNR1bcCxNA+iTCqDZ4GDkFJq9+uiBA2tciaUbPEJbmBvKu tAuwYH610QKXIdRZyBbpfxBgqFW4jd88iCHlQg1PcyHCbl6vjHcchOqMT3y3 BgpxIHf+cMNjGfbU89o5WUL0JhR3FvjLkMJPV6n7VYgEpmKrLTuAEPt7ix3f CCFKfvQimzsA1RceJtLlInin7LD2+/gac3Vcb/K9RFj485bAzJLXWFqQmmeV KILT0X3iNU6vwc6xbfnwowg5F+0mdV/0o0PvVHNElwiPjhrduJTej+X+l7Rv TougtGwq/keLfmgkJw7IOAwaz5HZR8VSuNlxqjO9GYyLyj8dy5ZCl9dbvDGO QairZf4GSCGw9WsLKGRQHuU/yH3Xh6QvTYt0Ghg4BObZNtX34aXAdEdVF4P7 etyM7GN98JdPhX8xzECUxK3w2NKH4XSXgbVzWHBGFgye0OpD9phJR+YSFjpV x3pbJRKM2hTdzTNl0fHHgN7kQwker+aoO9mw2Hvf3czhmgSTK+WLqjayqH7S lROeRfu3WYW8dGOxK+FQT0CUBJ7h5XUjO1gs3Lo88sNOCeo9ExylO1mUtpdE bf5CAkPeZ03PfVnwOiUoc5Pg3foHITd2s9i9JyhH01mCvEOXQ2L9Wdw57Tmv GBLgUm1SOXWVn4uRBnVMTU/0M2rN6LLDJx0l0E022jRF7bjOeWLSQYIfOOrf fhrAYu2uvrY66qDce+Om1A4q3RXR1Lmu8i2gvizeFG1GvfCp9OxOaub0DDeJ vQTe0cFqadSi1St1Aqitvp/Yd4tatfqUXscGCUzNGi8LqTVOLfJxob6anvVr dhCLjaY3yKiNBB8nHH6xDGbhlymX/mQpQXzyuYa2EBauvc5aaWYSyCpHBr2+ YnFdQ80g3FiCFHt5eymXxZ81hcocDQlepgaMkIMswr7tnB34nkDqOd1sfYRF rdq48VQfwW63rL+K4lhEGnTayLoI5J8n6poksvBxNsrRfUjgLMxuSk1i0VW2 +Z/pKoKcFeOz7I+x+DQ8ztO7kMBCNu2VTv+vdPjRtzuTYJ/HwVkpdHw6J7gu PI4ADhPNXyjmVxXrC/YT5Hn4JOofZnHrwOMXM/wJgnm3R5ojaP07Bzu+dydo va6eIaX1NZ/XWKwG2v/j4N2/6f2uK1lgTqwJrMqnkoc8aL6ks073rybwnqyM 2biJrtf5IJ1vTGD2rKlDheZrttWJK/ErCMps6h8m0PwdcVzbnmdAoN1Cyoa0 WJywFv6Vr0/QZHv3xo4ZLAxU3rTNWkbgtbfCWmmI5j/PoSXAkKD8zvCxdSIG M5vt0yw5BLGH59ZYtDPoxf/CDT8j2JwdV6nyMwNLaXssY07Q4R/tJ77GQPyV V/1yGwI3J55O+iUG3/JvWz2wJ1gSue/3C5kMpjh7AnI3E3ATHF9oJtDxsS+r PT0I6lMf501GMLDh3m3m7SDIste2WL+HQdiqO1Nq9Ly4l29Lm3wYMH9M9otC CDSFHl7R7gyM1yzdaRtOsP+eS7y9EwPri6P9WgdpfR4X++fZ0/d+PXko5giB jXhismItA50j262Vj9L7dhGfbVzN4HHAa6/64wQPr7fsXmLCoEImGMvPIDgy PiE6u4JBakXD6tvfEJwIftoqW8agxHlxnHE2waXGylG1pQzqxx7Fz8ol6G7d wP1Dl8GiV506QXkEeyS1Ug0den6ZXSMuF+h6OoU5LYsZmOn/NtaZT3A96P97 WhcxeLri7+0LLxG8X3HyxGstBsPxIeY2BQQjfbXv/alL/a/MV79MEDMubZxJ zVE9Z15JzQ1UkT3TZJDBOUWW0jy6+UaZ/Eyd1JoxHUHNN1N/XkO95vwF3avU kefO/FpHHd779Xgt9cPfvpQ3UkuLr6o+pG4zJOkPqNPvzY14Tl3sfK72KXWi a9Hbbmr5ZwcGBdRPepRjGOqqDm/Nceqw+XNTeqjzAnvTFtD96cZnxQqot7np W5hQh11z1/uTuuiouusG6u+32N15RN207F6NO/XbbbYFLdQz9ndW+lGPfNx9 4A71qIHShhDqi6ZamdXU0/Ypk/up/1E7duom9XKOs10kdbK3Xug16kfvZtod oj6rXKryHbXDymq7GOpmnjiojLoySb8njrox8I2glNpZp7QsgTottG1eCbXq V+z9RGrPpzYPiql/WFcWd5T6SXAOKaLWum0zI4m6yTZ0scJXDuuvUXjib+3a QmoPiyZzhfklzmcUPh06ZKhwQmx6isJt1e9UFRYaHD+usPZVwahi/p4NyacV dl8fKVb4k/lTFxVOrTvGKuybdeiKwtmJj18ofEZXXKTwx6SsXoVFbp7/Of/k 8H/mmk8UKvwvO3yhfA== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.4387500000000001, 0.6749999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.4587500000000001, 0.695}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.7] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUV9eygJFgwVhRY0FRY4kF1KBiiXLsBXtvxNijxhosscWC2BuiSIyx oNgL2PtPUVCxoBRBQXoX6WDX51vrfHPuOq48rjf33nffev7F+tbsvZk5v11m z5k51UdN7TvW2MjISClsZPTffxfNe9fAwinMMPKao+H7Vp5Kh8tTgj0HBAqX NL78fFl3X+HBFnPNvE7vE6b/0M5Pwq609Zb+MP1h+sP0NznyIqTv2DvSH6Y/ TH+Y/oNMi078uUOg9IfpD9Mfpr/lxfLjvxsYKv1h+sP0h+lfYGqtcSbjn0h/ mP4w/WH6P91Q8XhCq2jpD9Mfpj9M/wETq3172ydW+sP0h+kP09/Q/hvPYz0T pD9Mf5j+sG98gSf2MSeVulUaNNwUkqTYT95Z3fS+nzByl7wmR38Z8VTkMPK3 /t9ZfZ/8TInZZrPkx8khhohZu4o3HO2mdDf06JMz754w+sIeK+1bNW55UbjJ kZX7ipTYqMzwPJhe3SVRqeZZ6ubvO72FkUes9JpSqHKK0r2cW+sLCx+IHEZO +y6jzz5L2ZMqfLyVYZK/VbqMj5znhz48P5jnB2O/Xj/989Trh5z2PE+Y5zl/ /cQFQ35Ya6hQPXVJ3QF7lTJ94gpFjj2gVHqV5J+UkSA8eNnb7q6r06Q/8pTs H1KmbwmW//+7yRsX19WByr1xk0oOa5qkfLtma2i7OY8MlkcPDrCcNk1xORJQ f83IYOHce0UXBnd9IHw0ymlP6zF+wrL+VJ5eI8/ufhNv4fF37sT4FD0pzO9d tO6OC+k/nJfnCWOvzSznS7V7nhKODDt87ux0g/Rv+Crl0cp+N6Q/TPvr1eKG evhdF94amDl4Svgt6Z/a8Iunay/cl/4w7acsez+wWdo9Yfdty+oZGQVIf++Y UskD7wZLf5j2xWatPRC3Ikh4dq9NdW6VDpH+rpstEqtGPpb+MO2j6/y+78jW R8Ldjd1rb6wRLv0ndbGMT8qIlP4w7U+H7feYdThCeMPjQRuPbI2S/jvfbssc vDhG+sO079Q57EHVyGjhVyeGl95YI1b7/UJ2T2tdNF77/VSmvWe1mN4m4+OE x6wdu2HW4XjZH2gPsx+xXyCHkfP/4S92O9v4lb4k8/3yutAZfc/6Cr/qNv6e IfGeMPMfRj/OQ5jzDea8gjl/YM4TmPMBZr+H2b9h/X7MfoR97hXnFq/ZWdsP WE/sX+x3MPsJzyPtcN5dL+NU2Y9oz/Np3sZhnXI5RWkRe61Nj90h8nzYD32X G1IXdo+3ZT+E+f1h2q9oXGiR3Tjt/IFpD2MvjH4w+xe8t1LPKt2+Dv5of63T pH7NsWe18+huntOeRj+lKUsO1DE5NSBY+Sat9PXm15KU+VeXXfulTYhtyaWh x9MmrhJ+PODpCIebu4SDwpzvLd50RrjNrMP7v69/SXhTvzGxAc98hP12Tr/f 5txN4e3hhqnHi9wXbunYadyEKQ+EZ6y/O3lepWDhUjb9x1gveijcpV3YTx0s HwvHJY0c9do5TNgiN2lCcdtI4Sd3mzWK6RMl/LLf68ZPv4kR7rzP9pjvY41H Wxmf8PeME/Za1LHBodHxwncLmVqfbJEobD60+5H1qRo3iyrp5eadLOzUuJ/l jJkpSon1lpYHJgcq6zuMCCjtqMl3nfuq0YJuqcLpxYYeGvxO4y9dqhwbGZQm PCRhRL3Wy9OVcRfqRxom+Mh6eGTytWnNdx5yfjfZNM9kTpX4y5zH9Jf1rLKs Z5VlPass61llWc8qy3pWWdazyrKeVWY9cx5frl/vxvAP8xc58xdmvU6MdK9i f/2OrF/8Be+Bh01/tE2R9vgHgw294ueaXVeKjOsZ2jBCe56DUlP3REYfVJau LNFpmucJ+f/NLAZ9cSHY9SN9HB3WTK/9a5IS4dN/rvPj20p5iwmzLq18qnTY fMyj0ddnlQJfza50rW6aEjrWJS6kr4eB/kcKd7p4N/OYsuePUvEz76QpRWcG F8hoe0L8EZnvqv8Bs7+YtN01JSswVCl4tc1NpVeirHeTBmerLN+fpGxsvL5Y paah4r8MVv7w7heu+XfWP9+wqXr8gVJkzQ9Wu+pr/p7b94mB8w+my/nC/tSz 2MWUCbGPDI1urO5iGLDTtmyxOb7mJTWeZeVVcezzIGFPq5zWJ24HC3MeMZ5Z L0vnNyceiDy0Z/Kko5H3hX+Oarcoff0t4ZSomzdXN78tjP8Ec74x/uEaLaZa mF4TuU2NE7WXjLgqnHa709a6o44Lx9zpW3/UiVPCrA/xr9Tn71bK+fDtwie0 +bpzYLxp+BVZT+JPqfLcZ6MDZu+7Jjyh0M/Rv7/3k/biP6nyHf0W3jO9fVe4 6GnfNFfnAGkv/pIq32PfI77Hc239RYwPSv3hwzlEe/GPVPncksNivzJ9JHzS PCalzqlwaS/+kCrv6T0+OrJShHDHxNk5v8RGSXvxf1S5c8sLU/u7auv72JVf Hb6fFCvtxd9R5a/LeKc1r6rtpxW3OmW1zdX8G86vaXvamu5uHibrJ8she1/M uRDh/pvrv67vHigc4DPHPrWaJmf+MV6TRK9jTU219pMm39iWUtZfuIFns/YL 4n2FLUsHFXwXc1eY+Qcz/xg/o1+HwxtO+Ig8Ib5XYNVJl4RDH45os6rSQeEx VhM8OhW5IIw/wnhF2uU6dC17WvYfI+Mt8z0Kewu3MtR+aNbMT7jN8FVlNra4 Jiz7vbr+ed7+vv6pBb7Vzptn3V0yihbW9k/+/3zzSpPfj7+t/T/bsPJtGj8Q flx59/U8u2Bh+9T+o23uaHIb9/W92q8IVC40r3zc55dk0Yfzif/fYufDnxLO PdX249pbp6avfybtOb+Q757zJMWvXZpypdg3Lb8L367UirIzaTc5Xfw9/r/v ytSa0ypcUe4OtvmqgNMzpW/2O48dvS/IfRF/sfCWzXbzfJ7J8+/41HfEQPNn yt5aXouLb74q/uTOrnejqvTdLPvFmdUtW8yutEjYvsXAvdbvbiideswOqN00 VYkY023kln3+yoLQGtezwz74j36VSz2L1Z7XL68nTj8y6pGin18dA5MbpfQ5 a8A/hPEPYfxDmP43q96JqVB/g/SH6Q/TH+Y84byt7ZXePtL3ifC3Zww9a7+O EfbfvPx1uFmi8OQZvfa71Hsq/GW/8gPs2qULB7ulLzI6kilcc0W/kLCz2cIO s89YnbmeK+w9znzpxvvPhUsPXPh4cvhL4REdYxt1TXotfKxJ5+U1c94Kv69x 6Mn79++FsQ9/Aftg7IOxD8Y+GPtg7IOxD8Y+GPtg7IOxD8Y+GPv08SbmN/bC 2AtjL4y9MPbC2AtjL4y9MPbC2AtjL4y9MPbC2AtzfznZv/rDai0yxH4Y+2Hs h7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7F/wtU95VwWZIr9MPbD2A9j P4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jv0WDOgMKemeJ/TD2w9gPYz+M /TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPY3/g1kObZhfKEfth7IexH8Z+GPth 7IexH8Z+GPth7IexH8Z+GPth7IexH5Z4SOGGQcl2uVo8RGWJh6iM/TD2w9gP Yz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD22844XsZ+fZ7YD2M/jP0w9sPYD2M/ jP0w9sPYD2M/jP0w9sPYD2M/jP3wioBvttQ59kjuuzE3hr2wS48SXrS3hkeB wvHCFk5P+5y1SBa+OPrEuyk2z4Stdl0KNtuXITx/Q3XLtONZwncWOi25dTlH uNLU5NA9fnnCE4f3aLjo4Qvhsz28nIbFvBIu0rpcuE3aG+FBlnOszV69E8Y+ /fsP/GV+Xxh/Ff+Y+SDxHvV+X+LL2NwhYRnC12ePa3qnapbwL3HJM2zHZAs3 6DP5pOf+HOHYSxnZXz/LFdbPJ/RlPsHMJ5j5BDOfYOYTzHyCmU8w8wlmPsHM J5j5pH+++E88T/wL7OW8hTl/YPZjmP0JZr0SX+Y+wfuo4tmL1hS5ny7xZeLP 3E+IDzHfuc+xvmHi9cSnuZ82C9s2wdP+sPj7MPeladXCrau3OSG8bubiyRYt 3A3cx2kPc1/gfo0cRs7/h0Ourn72xYWwj94vLA1M73l3TrIyc2e/recDIkW+ yrB2d/PcaOHQo5kvyxSIE66zfUDv9GIJwrPWntvrVyFJ2Hd+lbceNVOEy05a 3G9xo1ThMcPiD9i3ShMe4lHTqHLNDOECfww8ZFovU3j/phUDnzfMEu695nyB +KbZwi8cUw8HfJcjvHOexeArbXOFOzn0/uJo5zzhtIlLjv7e47mw66iTQ1b2 eyFsOzTBZPaQl8JxfSp4jvnhlfCarnbD+o59Ldyk7fxCbX56Ixze/KiX1fS3 wo6NouzNZ78Trl/HrIjpgvcfvd/h92K+cX/ifQfvQ2F+P35f5PSHuc/r77d/ 7/sS/fsMOc/VeIWc5yrLea6ynOcqy3muspznKst5rrKc5yrLea6ynOcqy3mu spznKst5rnufo38/4/pu5PeV/4f3MwHnw6r7vvQ0wHfaLFkf5LPXoI8X6983 5Pe+gPFa2ZiV3300Qzgm8kRQqSKZwhnumweWy9bYtXuzso7ds4T3lqzourxZ tnD3c+f75W7QeOj8bcEv5+UIG9W2dfkxWONSyVXLTbqSK3x649WARxXzhDmP YH08g/h4fu8L7GoddPHoo8WHOA9KZLtXbGeuxaP05wHxc4n3queDvH9SzweY 8wHmfNC/n9DHt/Txp/zeP+Qb/1ftkfNA1afEsvD285edEt7ev8CW+4N/N/x/ fz/AftZm2Uj/eekJylePrS3GzH0i8Tvb5oesvlv6WPky7VvLQxs+jn/in7Le bVYcnjC0TIT0H2K/YGzxW1HCB7pFX0gKihH+qXHL1SvKRWvxQtW/ZbxzX2+P Hl09VuTPW3Y0ux4VJ9y53oHxO1IThE3NjJsrVvHC+MeMN6jAuHWVWiSKfHPF 4oa5L5KE44tMLzfQ5KnwvoxbcbkdkoXxrxkvN9Lquwe9tfaNXwT99G2pZ8KO ic29i1VOF+7o7+x82F6T458znsvl3MTl47X2E3/qWSzHJUPYbPSiM9G/ZQpn PLTc8e15TY5/z3hu94bbVb2itT879Pgo/x1ZwiP6xhW/5JGtxdt9N+QW89Xk 3A8YL+mS985Xt7X2Rey+OnfwUI6wZ9suY9y8coU3nMrplvRAk3O/kPlypPbz 4BCt/cAWc0suO5Mn/K7R4fMOl54LR+wZ7H7tiSbnfsJ4y7at6uEVq7XfWydi 7MhrL4R7VitVutetl8INNl18sT1Zk3O/Ybyg1Wm716Rr7XPKt7vYyv+V8LaS M36sF/xae/6O1XrNzdXk3I/k/J3X99WPr7X2HQrvNasQ9kY49V3IpYLRb7Xn //NSjwEFNOZ+xXg/Tzzdu33hdyLflGc6ITtB41Zp35WNTn2vPf9RSa8bFdeY /ZL7FPvjsrpZJ0PGauyaGmgT3jtT2nPfkvPUdWZO14Pa+dB9yKBZPTdnSXvu Y3K+Gr9sfDFN62/k+/jUlUfZ0p77mpy3U+c7NGis8Wnr4bnWFrnSnvsccvvw 98d3ztZ44o7oJh6j8sQfZP+zGJg4bkrFEGXabc9OB4omKaWMXi0f9jfvm/EH d6SPe/HufqKifx+if/+tfz+if1+DPlELez+fUEyLz+I/4s/B+HMw/hyMPwfj z8H4czD+HIw/B+PPwfhzMPrij6AvjL4w+sLoC6MvjL4w+sLoC6MvjL4w/ib5 IPijMP4UjP8N43/DjEc+CePBjAczHsx4MM8TZnzyUxgfFv9PZcaHGR9mPPJb GA9mPJjxYMaDGY/8GMaDGQ9mPJjxYMYjv4bxYMaDGQ9mPJjxyM9hPJjxYMaD 6U8+D/1h+sP0h+lP/g/9YfrD+Hfc/7g/wtwfYe6PMP3x/+kP0x+mP0x/7gf0 h+kv+UZqf5j+3B/oD9Mfpj9Mf+4X9IfpD9Oe+wf+oj5/HJb8SJ2cfBjJF1fl Eo9SGf8WZr5JPrv6/xmP8cmfgcmPoT1y1j+MnPb0J18GOYyc/BiY/BeY/Bbs QY49MHLay/NS8114Pvr8XYk/qvcfiVervxfM/UXyudT5oJfjjzA+/gbj4U+w 3vS/r36/Ry7xRZVZv/rfk/6Mx/4MS/2K2h5GLvUpqhxGLvUnqhxGzn4Gsz/x +8DI2X9g9hd+L319CM+b9QUj53nz/FlvxCepR4DJrye+Sb458TPyv6kvyOzb 2SdpWpbEP8lnZjx9/r++XqGbqWl89TLZ0l7fX5/PrY8H6t+n6PszH7g/Ek9g vcK0J74MUy8AE48mPs7/Ix4OE0+HiZ/DxJdh/FOY5w0Tf4b5fWDsw1/ifot9 MHLuq8hh5Nw/Jf6iMnLuk8hh5NwPkcPIue8hh5Fzf0MOI+c+hhxGzv0KOYyc 35P6EJh6D9Yn+zH7K8x8p74Dpr6D+c18Zb3A1OPA1OPA7I8w9Tgw9Tgw5yP7 OayvtyDeJvVP5N+p64l4Ocz7Gs5XqedQWT8+8VrGl3w6dTzeH0k9jvq+if7E d+kv8V61veQjq8z7Kc4rzhsYf4Pn7brNyePYvUx53jC/v+SrqfsJ5wVy6pfY P2Dk+A/MB339iOSLq4z/Buv9Nezh92+VcM1plmWmnAec7zDnB/sH9Ts8X/w1 5k90Q+NxrVdp+UeMx35DvRD7C8+H91nsh9hPvRbM86vUyGSsX+uEj+5zxD85 32HOdxj9YNYjzO8B7zbpaT08Wjs/uN8i534Lc7+Fud/C3G9h7rcw91uY+y3M /Rbmfgt3Wh6zbVJOgvgfceO9L3uMThB/47qPt+m6SZp/MSLnRZcnXWI+uv94 R4a/Xf1h3la++OWvvuXCPvIX/lX1PPT/0tzZ/e7kDOXXK1n1QvcFib/B/6sV WLRTwbWa/3/kcJkUT5dsJTjUbmfLsA/rp6n595P7HFWyqwzxepyXoCztEzs+ veod5dbRjubuvyYo1isHt3u4JkDpWm7NwtVLYpRyytY9TbKilCDToafb1Q1X PKbnDNh6L14xKjo/vN/TQMPSMuuLPT6YpTisch50+494ZcqGknYzK3rJ+4P/ rfoh5qvbpbYmnc1uKg7DD7zt/ZV2f/ir9UWnSlmWH/IoTvHufme+897HytF5 B4KKHYpTRjyq51i4z1+vP2L9DY/oPqtyryjlbaF6HSc0j5X7h9IwcMRCt2hl Rstzdmsr/PV6pf4W3vttrz5R9Pn6f1a/9FfrlS7/EPH1qy/Pyv4bcWvHa6ub 9wwPLkxZHF8xS+lws85Q4x63DV283jw5GZWpLFm0zDHXMdSQ6pBUs0qLbGXM LePFMzMeyf0mbE/DwEjr+I/OF+KX+nqnkEEHC/fcpvmv+von5s+SzRZegfsv Kt5f+B9yK5ao6OtD/t76KPS56Nh5sONzrR6D88sq4FmPNiX+5jzLp37K7MWj enZVouQ8wp9K6uLcaFCENh/+rL6K80zy/fOpt9LXU0n9fK0x06a6ZSmp2XsW +db0/+g+NLTB76F55bOVkNJVpiUdSlA6Ga28GWC1U6ng/dZw9+wTxb/e8HNu JeKVs72OrLzZ9rwhYHXBWVFpGcqttKhpRndi5fdLnGLs+I1NnPCCsfcjX8R/ 8NPsS5j5VfJSOjYb02jQh9/ntHO3oduV88qJ6m7pthaJSh3z0Gdra3kr36YZ /7ToA7dvavyF63Bv2Q9Kt7/88LXdDWXfm0qGBVdilRUuhpcz7SOUwl+EbLAe 9+Fctn5+otekSKVE8Dzz0n0jlcKTm660bBP3yfVi+eX/L9vyRx83S3dDhF/v ai79M5RFKZ5Om6N8DO9WPx+X5pQp9jA/XRws9nRx+uBfex15MfPxKqViRIcb YSHafNfXn+VXX5b1jXloCZ948efbHqrUr5RxgrK3gpt96B53Q1WHG6Z1Cn3w 39sM883K3WWwbFrxetlzCRJ/ST7iuyn8QIIyQjnXbHvrB8rE/ivn1srV4i91 r8xzbOr7Yf5nWflbnX+o+LhGl9jgEq+c3tzut2r7Q5T743yCnijR4h/lprmu CqsRrbgtsK+TuCtGaXu1xKK7HeOVZXYFdvlWOmNgPnO+6+sbC/bN2FL+zGF5 HtV7h87cW3bvR/sB9X/484y3yv3LNKsJF7T2u8svHHf+svCrdea/7VxzQ3jJ us29TeJ8lH+0ngx/n/9/uVutg9PL3JPxbLofyip+0V/47NIqey/lBgr/uvTx 4qnVNWZ9M17l0e4NarcIEfnA0fF9ZxQPFc5pe+R9vVrhwufbTgwL7x0mzP4i +TnVrFe4jI8UedcNLR9Os4gS/m3hdsvu9WKE572fX6nWlWhh/F3G+/Hu/ipn YhNF7tTDr2FEjyTh4FYNlp0bkiJ85mKxGRvTk4W5fzNewcPT/Ca/firyGpYb wzeNTRV2MM+znjY9TXjA70HVuhbWmPs64/XtuO27jaYZIh9R8Mh1D1uNi7yN mOrSIVObH63uJSwsqTH3e8bb2cRo4+RyWSL3zCllvthO48Gp7Xyn9M4W7mJp 3XqYucbEAxgvo8aYpC7Vc0RuFDdjuv1AjfeH7a1sZ58r7Gbu6mLzjcbEDxjP tsxN25pWeSLvGRh6o9kojfP8ijrUGv9cOKHoq+TSjTUm3sB464wtN79v/kLk 271bWZSZonGn81NuGc14qc33V9+3eWarMfEJxgvPXP/0cYdXIk/12jkjbY7G mw4EVA1f+Fp4afJV15t2GhPPYDzL6Oy2p3u/EXmrXSa3bzlpHOdmM+vM6rfC QaG1nu0eqDHxD8abf3+Qm7P9O5Gv2jC+uoezxtYrtt7ZuOW9cM2bK9svHKXx v7q+NNfZdknJD+efa/rz3TOH3VB2DHJ1npeZoMxJ3Z9ncvaOsnlYcsfj1z6c Cw9LxS4Ycv+T61Edt4389W7zBKV5v3qF1/UNUt4fHeI8o26CsiS+2dbmh4M+ uV416+KUSZG34iQ+5LhoXknTvnFKh8WOeY+W/+vrWV0cq61/VytWSc7et+qt WZTStvx24+SH0crq+etyh9yJ/lzv+v+83vWfXd96ZrNTjcyJYwzeaWYXyxTS 4m3T3WvXyCqbpQwd0btyh15+hldvEgb1up+pXNq2x928eKJSwaaJr8P880r0 uon9t1fQ4mfEy37u/cfR985PPqqX9Y+cWm/mfDeJXyGvV6ZV5tCvMxR7m6/s Ks+7aig38nruw5aZyqrT18edHukj8T/iZwkbnz8Z2jlT5otXjF+fFkaZSs0/ 3jbotveKxNcMnVNHHxgQr0zrl2Jz4Eyo4t3T8f3qa0+Utq3uBzY1jVfcDsRd 3P1a84/NKq0r5b/LyzDBJLJBVfcMpX+X4Cflmj403No29c2IrCxldNPuJRIm RCnla2waYuUQq6x59XJrbY8HhktXjtfzGaXVS3E/JN4CE2+BiffA3MdhxiPe xnj6/FOY8WDGg7lv6uNpMPE0mHgaTDwNJp4GE0+DiafBxNNg4mkw8TS9ftxH 0A9GPxj9YPSD0Q9GPxj9YPSD0U9/f+d+jr4w+sLoC6MvjL4w+sLoC6MvjL4w +sLoS/wAfWH0hdEXRl8YfWH0hdEXRl8YfWH0hdGX+Ab6wugLoy+MvjD6wugL o6/EZ1V9YfSF0RdGX+Ir6AujL4y+MPrC6AujL4y+MPrC6Aujrz5fh/gP+sPo D6M/jP4w+sPoD6M/jP4w+sPoD6M/jP7Ep9AfRn8Y/WH0h9EfRn8Y/WH0h9Ef Rn8Y/fX5SsTPsAfGHhh7YOyBsQfGHhh7YOyBsQfGHhh7YOzRf89Snz+kf38A 017yh1R/kPoF+sP0h+kP0596B3lforK8L6EegvclKtOfeg/6w/SH6Q8TLyK+ RTwWJh5B/Ih4Akw8QOLF6n0e5j4Oc5+GuQ/D3Gdh7qMw90mY31Ofb0F8Cdbn R3FfgvX5S9xXmO8w/hvxXPxPfXyX+DvPX19fir8E4++gjz5er/eHsJf1BbO+ YNYXzPqCWV8w6wtmfcGsL5j1BaOf/vnL935Ve9jPed7679Py/oPnzfrk/TH+ Mu+D8edh3gfj3/M9S94v678vyXj467yfZzz05/02+wf66/cTyW9XxydfCWZ8 ng/xCZ4fjJz4AnKY9918H5Tny/2d/Rkmf4f369w3We+w1LOq90GpZ1VZXw+J HEbO85F6WZWR83zJJ6I+FaY+FaY+FaY+FaY+FaY+FaY+FaY+FaY+FaY+FaY+ FaY+FaY+FaY+FaY+FaY+FaY+FaY+FaY+VZ9/hb/M8ySfDtbvf/gjrA/y7WD2 Q+YL33OVfFV1P4SZ/7L/qnIYOecHchg55wlyGDnni8STVEbOeYMcRs75gxxG znmEHEbO+YQcRs55hRxGzvmFHBb7+P6wun+w/3GesL9IPYzannxGeK/Bz2TY qWzpTz0M/aU+Rm1vNGtNzU2DNB5m2bPD3Zc50p/6GPpLvQzfC44pOabQNo1L /fbAUbHV6mXwN9hf2c8Zn/2X9lIvqrLUi6os9aIq4w8x3zjf2S9h9kv995HJ R+I85/niT8Hk0/G8Oe95njD6sf7I92N9sZ74f9hHvhjnBcz/4//z+2Iv90/+ H/mEyLnvIcd+/j/6Yy/M/2N+sF7ZT/A/YPZv9h/+P/sJvwfM78H+Q399Phfn N/ryfHk+6Mf/w7/AXvrL/qP6JzDnO+cN/19fn/85n+zfm08GE+/8v/49g//0 fLX8vp+gz2fLL58sv3ywT83n+rN8rH/0ewyfml+V3/cb9PlX/+zvObAfsf/o 8z3yy/fS53fll8+lz8/S52Pll2+lz2f7s3phffzl782f+tTvSXxqvlV++TL/ 6flY+u8x6Oux/2o+1fb0ncZOf5Pvy/248R8bnBRjjfn//+zvPejrxfX15P/p +Vuf+r0Rfb7XPzs/63O+1ed8q8/5Vp/zreBPzYfKL78pv3yl/PKJPn/f5/P3 fT5/3+ff930f/A/9+64/y7f6T/tez6fmf/2787n0+Vv6egf995T0+V3yfb9D w84vzXUw5Jfv9V9UllH+ "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNllds11UYhs9pS1vaQgtd0FK6aFlaBBQQcCLOOkDQuhjVSnGAWxEVKONC vVDj3nuva/fekzjiSBzRaDQajUbj9n3zPU168eSs75zfOe83/v/W3rWL1xSk lH4XhWJfMUtMEfuL2WKqOEjMETuKAbFZ7CKKRRY+4zhxrKgRZWIY6yWs+/yD RbcoEuVD1keK4ewbLUYwV8mcbReJw0SpqB6yXs8ezx0lekSVqBOjWNtJzBUd okHUsj5ejGWuT5wgxolTWGsTzaw3ijWM28VKsUKMEWeIeWKaWC36RYs4SywQ 07mDvz9RbBGbRKfYAb0z2k9Fr4vETOxno30hayVot1QsERXsL0b3bmwKGZeh bzFalqFlOXZL0LIcH9ajZxnzI/HJaDQdhX61rFWz1kO/knH9ELsGtO5Hv2b0 a8RuLJo3saeRPQ3Yjscvrdjsit4d+K15iI/asN8Tuy78Mx3Nd0fbyeg2BV0L 0N+6bcAHjvMDxEJ8NZfzOrCzX4rQd1Cnrfh4BnbT+O5uKeLAPh3gbPfnY9vJ XWZxF589h/O7eIvP28Q+9/dh/3TuPpt7beYbk/j+PM6fyT0mcvYenN+IP8bx /f04by/0mkzr8c5icYqcdD7ujdZdaLSQd/jcbu5jO8ec4+2QFLXA62czLmKt G9tubNwvZ28F7SL6Xj8UmwVoYR3O4X6l6HEgWjrOnTOuD5WMq6CHuQrmB2vO 4cydK46gX429a93RKeqOz1gnljHvPHJNdH2oZ+z+eeypYt8x2Pcwrhmyv5o9 KzjD5y1nbhnjGs5YR9+2K/HjkXyvirnjmTfOGfv8fNHLmc3Mt9B3LjmP1osT h+zrw8btKvqmn32n0Z8gTkpRE71+AeNB29XYuD2Z/qkp8ryNb/bx3cH8b6K1 XStvqEOfXt45hvN9D9cax/6ZKWLD8e6Yc7w5n05PkR+OI8dNKe9eyx2Wo5HP dCw4DirQcj13W8XbWnjHhbzF+e0aMpHWNcV5NJOx+85J53MH95vP3Fru4fsP YDOJdoAz77Nvc9QUz2/B5l3xdIqaUuQCl+M8296bwv4d7GzztngrRQ7dJH5M EVO3iJ/R4BrxNTpdJ75FjxvE9yli7VIxPMfby9QW5/DBf+IvfOYcWoqG93MP 36FetnU5fjM71V6pdqOoUb82h/+uEs/hw0rNjczx2/ugGJtD1/fE+ylq0MP2 T456NV7t9hT9y+zPHFpPUfum2m3otxUN70jxv8i+fV3cnaK+vSEeT1HzXhZX 4MdXeL/fPkpnPpHit+I18WqKunmx+DdFXF0iCnP49zHRnCNuXhKXc4cGzT2Z ol4/xZrnmzT/TIp6vJ13+l0TNN+SI87uEn+miEdr80AKfW4Tv6aI30fRxXtf EM+nqOPPivYc8fsIY/fvQYsudH2I707OoeM2fOtYcM35THyeov5+Ja5OUev/ FsNy5G9JDi3aiZF/iJNfxK0pcnoGvnFe/CBuTFFDHV+lxNiX4osU/1W/Edem +A34SHyc4vfsQ/FBiv+5HTnibKP6FWpH5KgF34nrU8SptWxDz5zDf/ad86mA nPpN3J6iVn0qPknx3/kPcWeKemcfjs7hx9YcceOYsQ8bc/jR8fIiMfOTuDlF jf8f3Anbxw== "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPFzq4lN1AwRedsKrdRWe5caQVQQGkQFQai9WiER64O9au9N 7J2QGAlifLD33nuPWP+Tcz78cu/zvM/z3PeecSMZmWlDokSkM6IRFUQCYpln 4gA+oCfG4Q1WIB3d8Ae/EcFgHMZPDEQ23mMVeqEHjqMi35/CWB27sRCNUQeX cR0tkYiD+IwMjEcM725hrIqGOIRv6IcslOH37Yw10AinsQmVUQ/TcBOpSMZt TEdttEIu3o8Otvc47METtMcozMM5NEUCzmIXavq9T1iDPuiNa75msu+pEN+e xVgfw/EQM3zvbTEfc9AAKTiJmaiLJtiHV+iCMdiI82jme9yPt+iOsdiL50jD aJRg/dmMzTESebjOHWyvQ/EX/zyXWgNfsQ790RdzUYHnJ2secQGX/HtTxb6d EGyu9+7iClqgNb54zrI8RttQOlguNWebUSRYrjTHxZkXRTXmI/DU96R76YAX HhONRSe89hjo3rtiB8oGqwXN0QnPqeZSay6W3yLBcjlRLDfFgq2lOSrH/Axj PCb43ncy1hKPAdfHPBZa03Fcxwf7lj7zTqyHtHfSPdfl+X2S5/yjWI1rbWuP fBfroWyP+S8c8bUHeS0U4P1hXhMFmedHFbF7F72GUjz+C8R6TNfSNV9imcdG e/4eHonVXhJWi9Ww1q723FqvAc299tgzLPFYd8QN3BHrnUpivXQfbcR66qpY Tyd6DTzwNZP8mZViZ4SeDXrGrMcPDBA7Qx5jsee6HUqx161iZ4f2SF6u8wWr Xc3RIn9Hn9We1dopGazWtYY0VoWD9Z7G7ChOifWW9tBysTNOzzbtoaUeM42V 9lyOx0D3rj11y2Oge0/1/77Bc6V7+A/2MaEI "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGm4V1MUxu/e5nlKegwffG4gY6WSQuWidGlSN24pQleoJCpJSiNFgwr3 NmtQCGWeI/M8z/OYeeb9Pes9z/HhfdY5e5+991pr7/W++/8/sKa225BcUVFx e6qo2Ep2b700EA7Ve12K9nXCT0IT4WDhF6Gp0FzYInwvNBN+F14V7hd21hzv yT4h/CW8JjwgVKj9DdmHhK31/JbsI8I/wuvCg8K2an9b9lFhRz2/K/u4sL2e 35F9TMh6flP2YWFXPb8v+6RQKbQW2gjfCIcJ7YUOfj5cONb2COE42yOF421b CLtrzg9kNwl76vlp2aeEzkIr4SjhBFvW6+hxLYUTvX5b4STbo4VO7mf8yW5r 5xyT63phs3CM0FWost/4e6ot/p5mi7/dbVm/hy3rnOk5ThF6ug3fe9tv8tTH vuJjL/fT19dt+HiG0MVzPevnfkKN5+4m9LfF31qh2t8Msn/4dZZjwPfBXq+3 xxX7c459pW+gv2X8AM/N+HM97nThea81RLjAa+Lvee4nvqFuIx/nu434LnRb jb+tdC4uchsxDfPa+D7cFr9G2BLfJbZnCyNtieNSW2IdZz9Y80pb1rncvuLX C45jtDDK44h1rHNKfFfYMtdl7mf8GI/lu/Ge+2Jhuuejf4LjIY6rbYljoi1x TLIljmtsieM6r00cV3lu5ppqP4jjRa81TZjsccQxw+sTx7W2zDXF/Yyf6bnJ zSxb4rjeljVnOwZ8v9H+sc4N7qdvnmOgb46/Jb65tvTN9zjWr7NPxPeSfV8o LHA/8d3kdnJ5i+NhzM1u473ecxDHIlviWGxLHEvtK3Ess8XH5bb4uMKWOG61 JdYlnoPxK91GHC/b39XCbfYVv9a4nfe1bsP3VR5HfOvcVuf95LwPcNs6j6O+ 4SLqk3NNHVOf1AvnjvN3l/0jvg2Ohzjgcjgebr3HMdMH98PZ8OzdHkffvY6Z +NATtAWN2ej56ENb0BB4/D5/S0xoC7oBp6NNaBRahbagIS1TyfVwKLqEVsDR 6AnaAo/D93A8vNzb8VGHaAs60DaVOsFc6BL6Bv9/m0JvyBc60NHfoWPoVSv7 3cH5LHSog/3r5DHo7EFCY4/p7L5Cb3h/JoVOdEmlxpzofvzu5TW6/W8PsV39 XR/vIXGe7PE9vMeDvF5Pt+FflecqNKZ7KjWpyj718phKz40f8Dc8WXA/doD9 gHsLbcH28/hz7Afa/ohz2cZ+V9rXvo7huRSaVO31B3t8d8cxMJX6VON9qnSe quxLf+emxj4VHEQN35Githd5PXiacw+/UIPzPAY+H+oY4Odaz0tdwcWcI3hu lNe5yGPgbLhxtHMw1OPxa5jHF1oy0mtf7rkKTRqWSk0a7hyM8phCn0Z4DHw2 JZVcPzGVmjQulRoz1mvDq/Dv+hRctsS+j/eYQicm2fdxHo9PEzwePyb7u1rP PSaVOjQhlTp0tX2f4jGFpl7iHMG30zx+ht9ZD+691uvP9HuhH7Psxw1+Z73Z fmcO+O5mrz3HfZO8t3Ptx3zvd6Elc+zjAvdN9xyFVmAX2qc6r4FP9X6nH75e k0o9WJpKzViUSj1YnkrtnJFKzVjmeJZ4TKE99anUjxX2g3XQiDv9zWLHs9Lf 4fta+0Q8q9xX7T0b4nwt9XqsQW1wby3uoNQ6HAmHwivwK7wJP8GRcC51DNfC m9Ti5yl0Fx/hsw9TcFVxx4UzDtLd+1ThxxQ8Cl/DhfA63ApHwhNwPTwKH3yU gle4H37sOLhffeJYFmu+w3L0o1FoEryOhqBbaAUaBQfBP2gOGgNn75NDh+Dy 6/Q8U9hJqBZ6C7+yT7LTc/x2uUIYm+O3zkbh2Bz+3St7fA7/RspeKiRhgnBV jt9AX6TgemK5Uu/jhW2EW4Q6YQ/hJmFhjt8rDXPoEL/dRut5jLCVMFGYJGwn zBbmCLsIU4Vpwg7CAOEM4TeNvUx2VI7fWPOFBcJuwjxhbo7fW9cLs3L8zpss XJPj91kv4TThZ83TSXaF8Kmev0vhG/vb0L8x0cuvvV8Fj2P7eS8f9f628B63 9D497LYvU2hAteuBe0Zxp8ByN/nK52qz9/95n4Eubuvq84rut/N53eQ2csFd 5BCfe+Zb73P8pL9t7fPdxufycbcx39Oes5XPLv2LPQe1eLdy0DjHHlPTGxwD NfFZCi4hN1/Y32ccz2af6y8dO/dAammh8/G188idnNzDnc0cS1PvAblv79x8 57ZXPNdqf7vFsVMPDzn38AV3teJettF+f+b18Jk6edDjGuWoGfabmnnA/fj1 gn2Da+7zvJ313aoc8/1gH/D9TrXdleP/iaZCO/9HQTzc+bjvHeA+2u+RbZIj H/RTl9wLT1Lb/jnigjOoJ87ZYNlzhT/9LWO4g3If4yxzJztY/Wfl+H+DmBr5 eT/Zvjm+XyvbOkce4Yy/nYsmnquxc/ub51+tb1vl2PNlskfkyMu+sj1z+Hy0 7B3CXsKtQoscuYb/qGnOFrX1R4rYB6ltYI7/Y+BL6ptzSV32cG3CzdT0Jsf3 k/PTXW39csQL5+7lXJ2ewye+gePhHs44vA6XUA/wXx9zYCPvFfmBL//03jfw eeAsVMk2y7HP36TyjFwoOzTHf0Lny56X4z+kBuY4YqyVvSBHfom9ofkEbYGP qUn4rMacdmaOfWpuf/axbx1ll+bghpU5OIuzuSbHWeQcHpKjVqm/I3PsE3vU XPbsHHk/Ksdeso9tcpwDzkBb2dtz1Bbnrr/zeVwODaCOO+TQBmp9eQ6f8Ofw HFoFZy2Src/xX9QxwoYctdvSZ4LzgLbDK2jz+hznlRjRN7QF3kTf/k1Rz0ty +IEP62RPyMEj6B66Aefu7XNO7kcIw3P8h7fF54NYLtb7sBzzHpqj9qg75rvN c+Jve/v8H73mnGU= "]], Polygon[CompressedData[" 1:eJwtlFWIVVEUhu9ejt2KDz7YHcw4YxcmvthjY4Bj59jd3d1dKIqimG92i9jd nSgqYse3+M/Dx/rXveecvfaqQimpyf0tFou1gjjYgVMZroRY7CVMQk+DdHAS fxu2IlxGv4Bd6KpwFf0KBqOH+wfhGH5DbBJcRL+B5uhm8AH9EZahV0E2OIs/ B7sAMsFp/A3YLZALzuOPxU6EODiBvxq7HnLAOfyF2KWQBc7gT8fOhgxwCr8b tgf8QB+GzejScCHojH1QE67j3wBPziD4iz4K8ehk+IT+DL3Q/eA3+gjsQVeH a+jXMAI9BgyO4880xeSxpMcuNsXssWbGdof8cDMoxtroA5AHyuPXN+XUc/kM +qILwK2gGAaiC8LtoJjzoluYYo2HYehCcCeoRk2gDjzFfwc90fmis35CU3Q9 01nvYTS6MNwNutMEKAL3gmritU00ves17oLuCt/RSdDHlDPP1S9og24NCeiv UNZ0pp91CTqiO8E3dCK0RbczPVsOOqDbm7Q/MxVdFO4H9WyZ6I5+N+9Br10C fAmqoee6tykWz3ldU496b3pOPLep8CcoxynozqZY/E4DTD3iveHPzEcXh4dB PTwLisGDoB5cAiXgUVCPeqwzTL3gMY8y9Yz3SsCON/W893qaKNeTIW2Uc6/F ONN/XpMpppn1WU0b1Xqk6Vtecz97OWSNYphnmjmftYzYtaaZ8lnKHsU+1/Sf 32GFaWZ9VrNGd11k6l2/cyPvHVPt3kJJ9BrTtx7j78c2NvVC7qhXh8C/oJ6t ht5t2iU+Q0NNO8V3iT+zDl0KngTN/ErTGf5t3yGH4KBptn1masBe0yz6TFdC bzftLt9xLdG1TLF4T1TB7jTtPt9pFdBb4XnQzvOzN0LOKIZNph3lu8l/a2DK gd/d3/kPbJmxpA== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHeUl9UVXPbeUAMKRGBVmkEFRGMoAlY0EBRRFA3YC3ZFQCKiYuwKKCgr QRRNVEqQiHtSTmIFQYpGEBGkI6zABlY60izRzDizx/1jzr3f+1777pu59/1+ zfsN7D2gsKCgYE2VgoKAHZMFBVWBTnjoC8zEy/8AN8OfBbsAGAB/Duwi4Fb4 s2EXAv3hvw/7caHGvubxN8K+B/sRsBUoA/4LDEL7XNhPgCvg/xqoB1wDtAcO A34BLMX7lcBg+PNgFwPXw28ENATuBOaj7VOgH/wOQAPgLuADtC0BVhVqns+A zcAXwAZgLbAcWAEcHlpnHbDea3Jcqe1qj6Nd4/FrPMfrGNsYOBI4IjTHRmBT pfnKbEv9/aWV5uO+lgFNQ+O2AOWV5vjStsxrLvO+r0L/dkD9UHwYS8Z0m9fg t+7yeMb+KPTZDrsH2Afs9PuvCtW+A9hru9Mo9/hhGHtvaO7moT1yzNHwWwC7 4U+DnRya+zHYA7DfAg/B7wa0Bn4ZWn8/8AD8rkAr993jvTyJ54Ow3wGPwj8e aAMUAv9D2/fmJDlFbo2AP5wEBqoCVdz3GaAYqA5Uc1sAtdyPbTsqxfspPI8G MsRPcpxcrwO/BlAT+C3wq1DbJdbJh+Y5tULOT4Q/zutQI9TNLGuEWpltHVEr 1Az3xG/6oVB8JsfJ9VPgNwudY1XPV9NaqW9ttLNWyKEO1sRyc2q1uUut1A3x vL31QQ5Ndpz3mlNrPKYoxOsV1sF687hCD+utp1V+X6EH8pkaqNDWOvN2o/m6 1n0r9LCpkh7KPH6zn7eYh9s9vrzSOe30uwptlHvMNvO8mXm62fNudb8KDZf6 eZfnIucYhwN+3ueYbPc78pLc3+W5KnTCd018Phvc74C53cI62OW5v/IY5iXm qvnm+bce0zLEd/Y9zpog17uZ+z+Y92EeXwz0sja6Wlt8T9194z0MN985ttB8 r2qOV/O7n5lTNbxeofVTbL5V8zvyvbZ5Xcdjqng+zjEpxPsTrI9D3f9s4CTz j9xsZB6SP/XNW74vcnvHUN5faU42MJ+Jhu7DMYeZw38N5Z1jgBeACZ7r1FA+ JWfOge0c4ubJoRxNTrHOMe+TpxP8nhxtG6pF3ONlIR028RxNzG+uybW/hn9s KN6Me03Hg3Hp4n2RB+fC/iZ0zmeFxrD/FLfx3OtZ21y3h8dX5NYW5h/zxsBQ 7mCc2rp/Hce9tnnQ2ufOGLdznHvCdne/h4H7Q1zjubfyuAtgT/T5tTG/mFfH h3If12EOPyPE996w5/uMGddOjmcTx22zc0Jnx62pz4Dxr+txFfW3o8+dZ97B 597cZ7nFMejieLZ0PL9z/M/0GVD7p4X0zxh0cxxY+04PaZrf2jV+yrlt/I1T zd9ajlF3x+GikN4Yi98BF4b2Ti6fZ5+14HJgBua7KVQPWJ84xwWe5yTHqsix 7Ol1OG8v72G65+I89HmP6mteXBk6T67fx+tSX70993neH9tZl3uYP33cj+2s R7eFahJrD2sS6xHrKPfM+nVLqL6yD8/hupD2+J7fxjrH+w51xbOlFllXqEfW OY7lfOQp+co6yvfXhs6WfLza424P7YF85j64P87Bb74hVFvnmPfc723+hoVe 5xbHub/nYjtzF2v/z0P3IdZyzlESuqtR62y7w3tjrR3svr8P+YvdxudPnK9Z m9l3SMj/1G1D3P8D53f2HRryl7htqPtTB3eH9HFf6F5Frm5zjdnqmkF/t+0w +6d5DPuy7Q9uZz7n3YX3nFGhukJdkOMPxk86eCTEdeZ91gbecx4P1QzWoQK3 UxPUE3W+3zWF/ZivqOl7Qjpj3xGe5yVgpDnMtifcftB1jjVupN8VeI+jvC77 jfa+qtnntzA3MUdRr9QucwH1+7S/N23HuD9R7Dmm2icHXgHG+v2zoRp2iDny R/cZ6+fq5sUgn/s4j6ljO94+tf58SKdF5hRrRy3Pzzrwp1BN4vsS+58Xyr5o /znPy/2c7zFFPts/+3x7Ob6MG+sF722sO2P8bdXdNsXx5voTPSftJPvMm+zH e8gJfsf9vhyKKeP5F8/D+Vm7pnkc4/lqaFyx41vLfTmmpd9PdTyf8Lyck7WC +XeP15/m+Q+YW+QY89x0x5O/QZ/y79CjYL8I5Zun4a8L1ZlT4J+a2uMo2LWh GjIf/vspbs2EfTvF3dWwNVIaOha2bqoOr4Wtl6olU2F3hurJM/BLve4U+NtC OXUi/C/Dv2P43anzeRz24VQuIBeYZ5gbN/McU+c5i3FJ5YQnYYen8kIn2M4p TbWA3e61XoK/xbEbB39DqH5OgL8ppIfGXotcWof2Rqmaczbs6tAdYYfjxVht 9Tdw/x/C7vfZb/d3ct3XYKentDeX55uqu0thj0ud7zLYFSlu7XLsGLcy7497 K/c3cP8lsK+nfvP9Dfbvqdz0Fuybqd95HWDbA5eGcj9rAGvNv9H2Rip/nQG7 MnRX+if8f6R+X74D+1EoR82CvzeUb8iFuebDHNgFoZxDXrxrblCPJZXOrcTx 3Ac7O8XlV2Frp/Li98Di0D3pbaB/qu68A/+OVC17C/5NqRr6Jvx+qTpVhzFO 8f8NtF+Z+sZzYKuk7nNHwjZO1fN3gbtSdeoF2Oqp+9DJsHNCfB4NP1L3p4Rd nMovM4EHU7WpCWzTVI7hGX5snb4HPJaqTc/CVkvdz2YAw1I5sBbfp/LRJJ5/ StMvw9ZM5WZqqLV1xO+bZ423YmxC9eg++Hen8utD1ESqvl4He3XqbrEqxS3y 6irYy1JcGMq+qTvFzbDXp2r/AXIklQu/Bhamcvpg2AGpO8Ht7Ju6O/D9Z+6z gvFL5fIifmPonvQNcEQq1x1PLqf40IbxCOXStvB3h+6G/L55qW9slhrD/uTj MSlOHs7vCv0OKIXfIHUH5DorvRa5OSPFz+Wp9bgW9cA7Ie9Ci7hOqG7wrIp9 XuTmZPOT5/OKz+jzUH5kblwfyqHMn/enzpjnuwD+wVANZE49xLmCMb7RceZZ PeDzYp57NJXrNoZyE/MSdXl6SpvM2cyhzE+9yLvUf3sXwvZO3QUvhb0k9X/e NSk9UAvkwrXmwyMpHpPDzJcjUznzYtiLUv/5URPjrQvy8UVz8nLYfzlufeD3 Td1lR6R4T853hL809DuPXLvCfOtJ/aXuqeTsveYtz2G6c9P8UP0g529NaZ56 7wq/W+q+fkNK/9T+mlBeZk5eFcpljFXDFCfIh3tSmqfeyd9B5vCZsF1S/5Uu CuV65vkTYZekeMj8cVYqh4wlx1N3TeYJ1j/miu5cJ/Xf4aGw01J1kPmjRyqH 3JnKZcxjP+rG2hmYynfMddTiEOvxOdjnU/fC/wNcne9G "]], Polygon[CompressedData[" 1:eJwtlnmwlmMYxr/5ntsfhiEKlUonlJoIRZ0Q0iLtJ6VU1BHhSLKFk5RiytJC 0zKlTsM02dsx1mhf5JwQkowl6yC7ZPldcz1//M593e/7nve5n+de3q+kfHTZ jcVCoTATAurwZxNMT4VCFXRH94Zh6GNgFTTA74mtC33Ql0I5+liojX4DpqIX wZHovfAUuik8i96I7QT3wKdQA92gIXwP78IlcDL8CVv4n0ewj8JI9LVwHXor gU9FT4Fq9FjFgH4f2wO6JOu3oWu+1oL7zeEgz1+Efx/6frgt+R0rtH90Z5io PeNvDa+9WLGia0FHdD/YHH5G92bAWsWJfwe2FCajJ8E7Ra+xQ/Hgz9XZwPNw Fv4g7CaeuQk9GrahR3FtO+zBX4o9HP6G48J7mwP/wL9wunKhM+XeeNjB/9+C fwF6GfYMGAI34I+CiuQ1anLMpTkHt3NvrGJQnIoZfStsL/raTngTzoHLoZJ7 42BM8ppj0DdHjh2/An19OFcVObfrFFfOcRfuLce2hivgE50j19phj9cZo1fq jJJrrG54z31yTvdrb6rBnI8H0A+Ga6GGNUvQTcK1tQe/GrsGyuBiaBXOgc6+ r/Kpswy/61T4GB7Gb4utDyeiTwrX5n7VELprOPba0Au9AtsmuWdWw2nhd2uN CeiJ4dyoJt7Dbkiuxe4wi3tnQ6PkGlKsjfB75Zibopvl+jtQ9N5/RvdOPoMO +BeGc320zhi9G1sneQ/9VWswQnWkfKB3hmtrFryKfk09oVrj/a+gXw6vpWvr 0RvgoeQeUi8vw5+Q3NPnof/DzoPBqoFwzapWZ2vP+I3DuViA/wJ6NbRET0ru vTVhrR5sg24NA5N75BDVNsxHPwYDwzNJs0h7qg7nSLlZiF9E1wvnegC8jv5N dQJTcm70jO4pRyeE19C7deYH8x4Uu3pWa0c4dsWwXPUDLZLPYG14hlblNdQr c/HvzD3zIyxVjrDNYCP6j+TZMQ12aX6FZ8PjsBv9C/YUWJI8C//KudJM1Gw9 QteKnrGaFQe0r+SZ8Yxmr2Yeejx8DVX4HbBN4Futg3++altniv4KezdUwhfa J9fOxZbAoeh92HHKNazDfytcK6qJVeinw2vdq7jD34RFuUY7h3tGvTIUFqIP C+dKayrW58LfBsU8TbWSe08zYQ7+58pTckyaHT24dmXyDHkS/VM+W/XIE/jf 5b3pzIfjD4PNxDsSfyZ6b/KsaQ89w988fev0zobhD2P/5G+eanFXrm3VpO61 yv2tZzRrO4X3ppn7EXTDPzO5B69BXw1biv6GlaLbh8+yMSxAf5nPWjn6AP/D cC0opx3lJ/e23qneeQkmJ/fQYvQ3ObfK6RL8H5K/vZq5mk19uTY8eUZdFp4J mgVXJdda/fAsUs19BrPDZ6MzP0p7yfNR56vaXxn+VqoH5qHbhfeimi8L/0bQ bwOtqVk+ILyWZvr6XOOqbdXwvlyDlbnGhmq26sySc6bZ2Db87dGMLNe7wrnU mQ5BDw7PWv3P78k9pt7Sb5oXwzNes11n9mvyTNAs0G+Wu9Sr4W+fvmn/A+In ICM= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm811Max39u95yvW1K3TUWiQaRFaV9EaSwRqUSypgwZMkZZhxn7VrKN ZKeYMAzTmDEiy1jGMnbNyERElm63ctOez9vz+b3yx+c+53e+55zv833O83ye 55y780lnHnFGRalUOlZ/6kmel0qlE4UvK0ulNyQHCAcL/xb6CwcJC4TBwuHC W8I+wlDhbWGgcIhwq/BbYbjwrrCvcKjwvbBKmCwcL4wRjhG2yqXSaLePE472 s1nCUunyuXCv9fpM+ELtz4WxwkphRIr57wv7CcOED4VBwmHC/cJXmrdYWCFs ENYL16v/CuEM4XLhdHRU/2WSE9FV7YskTxa+U3ulsNHzebbJv0/S828klwi1 Xnud8KD6v0bfylh3s+d8qv5FwlHCMv1eI/wgLPe8tUKNJc8ayz6rK0OHhZrz sTBSqKf+CqFO7SRZKWyldmNhB2F7oVpo499b63khdFK7rbCn0EH4hbCX0EVo 5HmtU+haX7JKuF2YITRI8Y6GwjYp9M28P4W+yEqhndfrnMJeW0sWKezFevyu ELb1WtiM56x1oTBO+FZ9u0h2tX7the7C3kLLFM/QvZWwq3+j927+je3QpV4K +9bzO7fzPHRcLtQIO/u723t+U9toR//mnd28bjfr1MTP21hiyz1s6929VjNh J6/Vxs95dqlwWgqf+p3kePvCxZITUuz/a9qrV4Un9Pt1yTeEJ9W+T/IBYB/H 1/F74pW4JVY/cv9hlvwmLl7WvFeEv6j9WQpfxA+/82/ab+v5O8Jctd/0mvDA W+p7U/ir2i9Jvig8nsKXWWes5WK3F+j5R8LfvQZrwSHwyevCgcKrwmvCAcJA jT1I6Kj2JnxFmClMUd/2OfzhHMlWOeLtNc9nnQHqGyKU1L5LsnkOvnjd7+O9 I9R3eg7+uUDyfGFqCg57y/bjPf39rv6e20+4SH0XCtPYU8nLhAv8/n7W4X/q +1j4RwqOXOD9gZs+tm2fYA+FP6WIYfrhr2fUN094VO2nWUN4RO2nsJ/wsMcu 9DqfuM0ac9kTYY7alwinpOCS30v+KgUn3YZ+Kbj5D8KpKbgQ7uI7sOeXkl8J J+CLwhLvI4Bv4edv/e6R/r7/2see1/tfEB7z2C+8zhK3WeMDPf9QeErt9yTf Ff6m9nOSzwp/TpEXPvfcY+xbY/3Ni2zL+zW2RQ5OfxBbCrOtCzodbtv83/Me 1fOWObj4Ed4jPKT+hyS3y5Fj4Aa4Dz6Cw+BNeBSOg2vKnLGdf8MJcA2cASe0 8u/27oMDalPwy6QU3NTS4+CAnkKPFJzRy7/vxneF3sKzwrwU/sw+Pum9ZDxc 09b7ONd7Sc7C78hb5LJ/pshn8Az2hmvgFvZngnUo81aNv6ud9W7s79/T74G/ GuTIH2elyCGMhduJGbi5q9djXpkXkWUeRTazbRr5HTu5r7nwktBH+GUKftzB 67X0HjS0fbf1/Fbu4/dMj+EbiNku1olYgOdOsS2x6Zkpaon7UvDDff5drg9o U2PcKXmH0ELY7HewPjUJvrbU+Z4cT37Hn2gTR+Qv4psc9orwcgp+g6/v99yr Je/xXlPf0L/Y8gHrM9vvK9cQszx2hr+HPLzJejbwWnfZjuQUuGS8bfsvYYjl S7ZzH7fL/vac7YMfvpiCh+cLz6fYd+QLP2vP95h7PId11rjd0e351gnbPORv 6Wub9PEzxlCTUGvBc9Rb/0nBydSW1JXkXHLwvpbUAfgQ+T3ZJ+r5N7XFBtdm 1BTrXbNRW6xzfVbtedljV7i+w58qvNYM2xjfKtdkyz2/1nM2uRakvmvi9Xgn Nc5GP2/odViXemqTa8E5/uZxHrvSa232enWum4iRpt7nmfbJSn9/mbOIjXJM IFtah+aej17oV239mvo3sdbD9qyfo47EB6glqZkq0pbabl3lllqK2uo33vMh 3k/29QDrtsb1K7m1q/cPHyBmvrGf48vEQrmuKtdZyHKt1/5nOiLL3IkscycS riLm4ehyzbiL173L/oW/wQ3tPG6w1+plO1V5fwb5fTwjt3f2vL5eh9/7WT/G EZfEJ77dzP7HWuQ2+Bd+JrfBv8QjZyw4Bv4ZLzvvUwQfkO+JW/wfHoIP4AFq LLgM3qYWJB/AaZxbOBOs9hlhmc8R1GfkBvLF0ynywUTveWH9qMnIGeSFdfbr Wu/rMvv6M3r26xR5hP2Fy+CN/fSu04Qj1L5S8nLh5hT+CR/ho2uF9SnG0F4n nJOipmMMfLXKY1Z6Djzbwv0bUtRpNe6HeznrcOY5MsX5kHMjNUJDyW1y/K7z uDFel3dTX61OMbfO4yu8zmq/i/YM69fA+tAm9r9JUT8Nt805M1IfcsalnqIW ulTrtc7B/dQac1xv8PyPHnObx7PO2cINKWIITqWuhFfJs1elOI9Mtn6jbINS DvtcmeLsii7ELL/xAfibepb4vcljeLbcc2u8D2u9L/A0HE18wE/EfIV1wh97 e39WefwGt8t2q7NuTcwb6DBM8hJhuvqvE67x9+LjE3KsO0py9yLqM+Y18dmV tb/3u6rdz5rXei3WwebXun24nl+fw763SzYVzk1xf1BnH+Hc+oP3Fhsst49N sl2w87a2TTuP2Wy/m2/7kMs401ATj/V+fus95Rs4O1Fn9skRG+g/z+8t2e9W 227rbX98E59FjrYNq22H6fa54dax1jpP9b6yp9Sts1y7DpAtx+a4v7kO/xFu 8bgz7Bu8k/gbYTnF7aGcdXLk+1rJ73LUCFfZRthnV63fN8ecnOPb8LE26m9V xNlys/rX5zhvTZO8IcfZok5yRQ7umOZ18fOqHPalPUPtQTl4sZ3W27GIWv7I HGc24gC+g/fgqC56flKOOCR3kkPhQXgT/oS/WAtfgGdv0tgbc/gCZ8fHfH5c KnlAju/srTU75IhLOBquhgPPUt8h7u8luXMR5wu4GE6GN+FZ+PanuyXHBjpP 0vgTzAkTJYfnsP1RknsW4VO7SB7h/pZqNxM+ULsHZ5Mizux9JHvniKX25Isc HFWu9akV4HH4nPqhp57vUMS5bG+1GxZxL9edmCriLo69vNHxND3HmZZzILGP 7+yfIm+Rv6hLOE+fnSNnocd0++duOc7e+Dlnsnt8LluHz+c4o3fj7FBELddF 7bU5zsvw39V+Z5WepyLqvkrJUhH3BU0lGwnvEaeS9YV31O5KLijiXmKEv4N4 7ESM58hTHSWvzVGf3OL30P46BZ/AI3vp+aYc9wOdJb/PUcPc6OesS367wjlu jxz3FHDCGMnORZybH89xtqTG5W7geNsT38G3zv6Zj+KffdXXT1iBb+fYY+xK 36E5+k/M4ev4+XFq3yGcnyL3jPN6rYvwFfyEczPnZ3IiXAq3wDnn6fleReQD 4nV7xyz3CaNtP9YlXqnPiL+dHIP4Ywv75LE5uOY8+9lE+15PdCjCrsTMBMfF FNuP9RsX4Yv4IWd0fHOQbTHe82odS8TR3hrfXVia4t6laxH8wfuoR6iNuc+A i2+1j55mvZh/qvvgiXPNFeh0ijnkZPKzcy33Y9iPmq55EXFCjLQtIpbQlXts fBD99/Xvge6jzXj88m2PuZoYzxFH++fgROzLmQYfx2/vVN/dOc6gcPY15m30 eN/v+cDtYV6bdxBHtzI2xzn1fY9DB/LATOeCwTm4FS5cJPlpjnsB8hJcSMzC T5eaoxbZd/AJ6iPqKXJoJ9nh6Bx3OeRV8usox8hSx0kHjRmd4w6xvdojc9wT MZY7/WNT8B98B9dNxa45aiLsdLFtRdxMduxQf5G3qcE+Ud/CHPXsGPv5cf6W eR430DbizEEeq3EuW5aDC4h9cn2jHHmNewx+k/fxA2ov8hF5k7qKHEe+o0ah Ptrac5lHu4HXqfG6tMnp1JfEHTVz+ZzNPSG80tf6Zq/J3Rj8wX1XuSY40vZv 6D0A9LMv3KPCVdxzoFe2no38Leg2O/uOWP335vAzfOzhHPdl3CtQZ1BvcF6Y 6m9mHTiFmuGn+jZHzONLjT2eWgLZ2HOrbItO1qe+x3SyfTkrkeerPKaRx2Or ZT638E76qmz/bt5L9pH7V3IF5zDqi405aozF+FqOM0on2xU7k+eX5PDvL3Lk J/z8ZsmvcpxRvsyRR8mhnBkHpC33Rv39LuqCcTlqg/K9AzpRy6zKUc+szJFv 2OPujlvGdbXurHtgjjqDdTgrDvK4DTlyId/W2e/kG3IRuQ1+2KqI/MR+kz/I X8TIDzlyFf5EnqxwroRbDvZ74YRD0xauOsT6NygiH5f/ZzfUupJ7C+df+JVz HxxL7q12/uU8PNjfQG5fkyO/c4dEbHFeID9v4xzdz37Pd/0Ir3l4dg== "]], Polygon[CompressedData[" 1:eJwtlnnQV2MUx6+851wmjGUsk1JvZEmMfUmDoUhpmXdk/au0aUXaqYRQSpZk iCxpZGlRqZSlkpCQJKWSVHp7RcigsX2+8+2Pz8znuff+nvs85znn3F9lp75V fWoVRTEGKmBCFsXjMCmK4hmYj78JnfFXYRLeHDrhQ2AWPhdewW+G3vhJZVFs xGugL+PTGG/Dd0E7xsczXo8/CU8zvhw64oOhGm8Jt+IPwFk8ex5U42NgAffq wTD8NXgHPw6G49PhPfx9mIl3Da/9rfSz2sNC/N30s12gFnPvB1fhK+FD7jWA u/E34F/8P1gRfuYvfC98hLeEE/BvYSF+H2zGN0Gv8LWdeCtYgi+G3/Bf4Qp8 OfyM74Zl4Wvf657WqL3Bn/gfcGX4nQex1trQGl8F++MVpdfeCko8S/tncDB+ SOlnr4bD8ENL+2o4AD+w9LOa8x/e9Xd6b9rzUrw+jAjHdCVeCSPxOXAGv+3I eBQ+Nrz3LbAoHINeeDOe2YMPUI4wPp/x7vAZf8z40/Rc3WEdvlFnhvdUjuAT YTL+HLTBu8No/JdwbO+Ch8Mx/g5vBL3Da1Ash8K4cExbpGOs2BY60/QZ6Wya wO14t33zPwRf4l/DfLyHYoqvVk3gt8A1+InsZ0M4569jfArjzVoL3MC4CeOt 4RqYw7iu1hyumS/whnBPeM61qg+4N/zODekcU24pJgPw/lozxTqU8R7893Qu KUcG4QOhpsJn0gO/hPfvxatgGOMu8CA+Hk7Gn0jX+lFwJs92TteeYrpMuZ6u hW7as2KZrt2dcBF+bfpsO8BP+C5oEc5pnV1rWBo+wxrFJx1rXeuDNy4dqx9h OOP71YPw5jpz/Hl4Af+BPS1Pr0lrmRXOzQ/SrhxtnN6j9tYPmqqW4VF8YDh3 2sIj4TM+t/SZ66zVYy7Fb0v/Vu9vpl4Ed4ZjOhIfnM71x2BI+ppcOfZJOqeV y7PDvWkxzAj3KPWWFel76jE6+zUwL5wDU/AX03udwngGPhNeDp/57HTPVa+d Bm+ne5p62evh3JqX7tXKsZfwqem5dvD7fvgd6V67nfE0zZ2+N1U5qd+mvZpr S9I9Vb1Ue/gqXROqBa15VbomVAtzw73h87SrR6hXL0qvTT17ujw9t/ZUR7mV 3otiPCp9Boq9cqBrugeo9pWz6iUXpnNZPeUCvGnpXqDzVG9RTiuX1WPqMq4H a/F2cDp+k+Kr/cOppb9R+jZtUT2Uzknl4iYYm/6m6Vs2EQ7n/hGle2cb1Qx+ ZGlfE861sxnvCOfcOaW/Yfp26dqIdA2pdpSDDbhXv/Ta1sHR+DGl52oLx+J1 Srv2oN5yfXqt6jHb8K3pXvYUXKxcTHtt1Qy+Pe36pk/Gn02fvWrqMj0Lg8Lf 4DGqBZgQruHR6hX7zkPXxqt20r1H/wG+Sfds9eoF4V53Yzq26nmVjBuW3lv7 cK/skI6temYV3qh0bfYP97716bnUA/VfoX069vrPoF7WM/2setr/1t07wA== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0TdOQ0EUBdBvkjESBQUFBbJcQMVGaFkCLRIsg2BKsMmZBZBDSUVvTM45 55zPFxRH7868eSONJlHbUFMfCYKgjirCnE+MYkoopYxyEmHfoU/1iw9++KYl nNfLifxdlEcuScuoWkgBRcRotb9IXJ5X3xnllRHemOOFYZ4Y4plZHhnkngEe mOGOfm7o45Zprunlkh6umOKCbs7o4pxJTunkmA5OmOCINAekOGScBdoZo41K 76qgWd5jn2122aGJDTZZZZ01GllmhQxZltii+v+ffgFOSEPY "]], Line[{167, 197, 188, 273, 168, 272, 169, 274, 189, 282, 171, 281, 172, 283, 192, 285, 173, 284, 174, 210, 286, 176, 201, 202, 146, 199, 289, 290, 288, 292, 291, 193, 175, 295, 145, 198, 190, 296, 191, 209, 208, 170, 280, 144, 147, 206, 207, 205, 298, 297, 143, 278, 279, 275, 277, 276, 142, 270, 271, 267, 269, 268, 141, 195, 196, 187, 204, 166, 203, 167}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{300, 299, 303, 607, 598, 599, 597, 601, 600, 538, 603, 604, 602, 606, 605, 539, 609, 610, 608, 612, 611, 540, 589, 692, 575, 596, 559, 594, 558, 595, 537, 302, 301, 300}], Line[CompressedData[" 1:eJwl0ltTDAAAhuHN/yBblJSZSEnSbHQgZqn7bpqhUrurJMdVOjhlqRw6EIqi 6Hze3X6Ba/+nZ8bFM/PNd/0Gm2IN0YxAIPCdsBHiL8cP+PjBN2aYJo8vfOUT U3zmGBNM8pFxxsjlPR8Y4R2j5PCWYV7zhgRHecUQz3nJC44wyDP6GKCfbHp5 SpwenpDFIx5zn4c8IEg397jDXbo4TAedRLlNjEzaidBKG7c4xE2auUEhW2yz SYgTHKSFk1ynngskqSRMPjuc4gpVpLjINQrYpYir1JCmmjlOM0sxP6llnhJ+ cYYFLvGHUn5zlkUus0wZS5xjhTrWKGeV86xTwT+NLLHMCqussc4Gm2yxzQ67 JEmRZo9FpkgQJ0Jjxv8O9wGaNE/m "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl813McwPHvriLSKEe5WopOJpUzUikmyhyRI4pcWW5SSXN0oQOx0uko FrKUsXZvbS3NbrRG7vvoQofj+Xn0x3Ov7/v9/T16/Pp+vlvSqHGpaTFRFKX4 kRkXRbmxUZSh/9E3Poo+0dO0F715x3yKRhzLMbxnd7Vew5UM5ypW21+uVzCM VC4jy/5SHcrFXMIQ3rUfpIMZwAUMZJV9Pz2fc/nUfJ5+pv01hovYbL5QGzVF 43iGLeantUmf1WbM5nPzLP1C52hz5vGV+QX9Wl/UA1jAN+b5+q2+rC1Ywg/m xfqjLtWDeYWfzMv0Z31VW7KC383L9Q99QxOpIZkNdtn6AWt4n7WU22eFZxrO IDyr8Fwos39L3+ZNVpIZzoR097rxjzON0QQOpCWJJFPFv+EzHBWeCZWuGzjC 9VaOZK95k+7TSv1Yu2tDeEeoD+cRzoaj2eN+k24K30FrqeMjdttV6N+6UQ8P /2/+Mpfpn1qubShklzlfd2qBtqYz282n6jbtqYdyEidSYZej6/iQPHLZaF+s JRSxntLwvey7aFcOC+9MuGdXTzvXO7QxfFY76SHhvaEV53A2v7n3evi3tY5f eM38q3bUE6jmIBbxvf1C/S6cS3h/KXZ9lp7JGWTwUviu9rWc7roPz/NceD52 NWxlrvlL7aBJ9KA9VcSHMyOB4zkuvFc+W01b17GcHN4587V6HSO4gevDe2h/ o97ESEYzimz7W3QMN3Mbt4b31/4OvZPbuYux4Szsx+ndpHEv95Bjf78+wH08 xIPh/OzH6yM8zEQmhLO0f1QnM4kpPBbO2f5xfYJ0nuJJ8u2n6XSmMpMZFITn 5/ejjPWUUkIxRRRSQD55sfv/Rv4P3xS6RQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1250, 1249, 1400, 1555, 1690, 1602, 1689, 1603, 1691, 1628, 1853, 1629, 1652, 1651, 1557, 1694, 1695, 1693, 1697, 1696, 1558, 1699, 1700, 1698, 1702, 1701, 1559, 1704, 1705, 1703, 1707, 1706, 1560, 1709, 1710, 1708, 1712, 1711, 1561, 1653, 1654, 1631, 1668, 1556, 1681, 1680, 1679, 1604, 1692, 1630, 1402, 1253, 1252, 1251, 1250}], Line[CompressedData[" 1:eJwl00VTVWEcwOEX5YKiiIVFeC8WioV1XVgzjoG6cPwEirGzVrbO6GCgK/tr KNiJ3YqFid0dGBj4nHHxzG/O/8yJec95E6Vzp8xJCSFU05AaQh2zYyF0Swvh EY+p5SEP6Mo97nObu9yhCzXc4jo3uUEBV7nGZaq5QoKLXOIcFzhPnDOc5SSn OUVnjnOCoxyjinwOc4QDHOIgeexjP7vZyx5yqWQXO6hgJ51YxVTmMYwcFrCQ UvqlhzBN++siXcliljCWJ4xhON15yjM2sokR9OA5L9jMFrZSSNJ9p+s4XjKe V8yg2LmluowJvKaEkfTkDRPZxnZmRc9zzUxdTi+GOp6k8xnFaspYwwqKWEc5 a9nAenrzjve85SMf6MNnvvCJOr7Sl+/84Bv1/IzWj9/84RcN/I3WkxTv1ohA Ko0pNk/TdGI0pQkDzJtpczJoQSYDzVtqK7JoQ2sGmWdrO9rSgfYMjr675tCR PHIZEv1vGiefAhIkzSfbG6NJUkScbDJi//fPP9Ada9A= "]], Line[{1595, 1365, 1369, 1373, 1374, 1375, 1376, 1511, 1627, 1838, 1626, 1836, 1625, 1837, 1647, 1835, 1624, 1833, 1623, 1834, 1646, 1832, 1621, 1830, 1620, 1831, 1645, 1677, 1616, 1827, 1615, 1678, 1641, 1664, 1614, 1640, 1613, 1851, 1850, 1592, 1849, 1639, 1650, 1845, 1846, 1842, 1844, 1843, 1665, 1594, 1829, 1618, 1828, 1617, 1643, 1855, 1642, 1601, 1593, 1852, 1644, 1619, 1622, 1595}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak0VfsXB3CF0iolSfoXTxFF9cyK9CVk6ElpLkMoY5Sk0fyilNk109Mg lF6iQWgyptRNGe49ZpdzE5173VKa9P95v7XOOuuz9hn23mf/zhK3ww4Hp4qJ iVWQY/LcNlGteYbzEfmWFzUdE75AL+ypQZIkA9tYVd7JwTE8yzUJy1vDYE1w 1VN5zTEkGJTwk70ZBOWY6NwM+Yxr/55I989gMCp+Iqmh4xMSDB/sX1vHoGpx 8wodi0+w0KmdVTjMwCFGf86yWhGkFzmygmQEaH7zmuq2FeH8i7Dr+boCvO11 nf2ifRQq6dNbjHcI4JQR7OrmMwrX1cks4yABjLr1XXSmjuJA2KBtYYoA0cES u5svCdG33WGJV6EA1ZKJhwv3ClFSZVblVCWAmDl/61UFIfbedrG5wBbg9cIN jbZ3BKD9bT8zfQJsUpc1X65P8shdzI/9JICW4/y6W1UMWgwrUn2+CHDeVnH/ +0IGxmlitRu+CWBXcCjVOJVB9aatgfN/ChBc6aBdEMHg0bFZ+f0TAmzJHhXT 9GdAiY/P0fgtgPJ6+ci1hxgcW809FEBc/edlU2sfBtPsSyrLiZ1yo9bt8mKw 2CvTpZNYOrOp0dmTgdh/SwiP/xaDtAZV9lxiHQWf334HGdyZOJejQmy75ElB 0AEGI2Yvda0m47+mL4hyY9BtKVXrQyw343wNaz8DriHs4onFwnVuXXNmIOCt UxdOEWLRhB1/yyYGY9L/mNuLC2G1dDdbjnznHxPzr96UEGK8LkNPqMrgQYPD RslppM8P79H9cxk8blxk6j5biIPvwpxcsj6iP56X7iAvxANtge0+tY8QNdlM bVEUIuBeztGb90bQW/lS772qEMnbemLVrUfQqD4xmKAphBKrWO5G1zDab698 +E5PiKKBWzPnbRhG6LHXLBUTUn+E+M7C4g9ojS2aFmkhhM22nV6Sih9wzlO1 cNRWCCOpCrCTh5BsIKEctEUI70N39Mqkh7C+PV1lzg4hztf0yXjEvUek2iH2 2B4hBjItg1n9fOzvc85UcyL1iUWr8cDHrGmUZ5GzEK/Tw1OeXKPRFLDbI5r4 pm9vSoEMjWWlW6bXOwpRp7RTVv3vQfw85ScZQJ4nKC7WafsxgNQzjHvidiEU ZOTKd50eQNTBqzKvSH6LzVc8FDXwsCQ4XXOc1MMkak4xV+bhoQnPU2u1EPVm g1cjI/uxx1cxJXUR6W+3RJQE0wefJH6wNek3Y3jXSMutD5JmX8taOwV4keBV Ftrdi4+soY3rybyXzg46ccKtFydW6pXdcxGgcXh8x5PLPXDb9+1RCNlfIxvy ZAQp3ThwZaHMskoGczaLB2tkdUH5ZFe1EZmLaY0JmWZlnYgeC/GwE2OQ83WF 4dLuDog2Wst8yP6IG99WbHu3sAPepdlB2bofYXdhc1DAQQqFkadsDt8YwTml uJe6aVyIRT+X4C4ewc/pwuv1XRzQ5YnN7ReHUXeOq9BoxIGUgU694/gH/Lk8 fdn3m+0QRmkm27h/wObd0NbXakdKuHbC4VdDmNaVo3y4vg3XnxVoJRgO4Wef n6jMrw1Zf6gX3Q56j0ZGPdRRtg3cZhVF8/t8NOutyS980wr1kprnR77TEHev vSFd0IotJ63idcxpZLdkdWuwWmERqdq0K2kQvPSY8Jq0VnTceZZ3fnAAVUnO ZeW3WpG7YbG3jekAVu4NOSXOaYXINGhhRwgPsw7ZhIYta0MD6zYrur4fJ7Ka BH/FtaEgcdPvlP/1o/3GmZZq6XZsvmh+dNHpPtyzvNKjn9+Orv3MQunBXhRz Xp0f3srB0lSF42v29SLmvubxObJcxKh0n8kv78GPkJN1N3lc7PAxHB5nd0NG 0/XWtVoK+S498p9LutCZVFDWPrsTuW9tFIrvdSKud8gswrcL1mlfI7w6OjC2 M+W7WEs3Iqz80vf+0YGOGOeHL5V70aLeOK8slEKO0nXptrZezGUdmVH2hYvS 18csZsb0oa/tblz5WS7kD0illuj1o++yX4OVGhciN++40PZ+yPhHD8lwORhz cB0oOcxDUWxI5qcsDpiligdn/uThq/1xYzEfDkybJTktZwYwGO+ddsKCg1Ud c6e9YAYg9W7L2sblHDTo/BE3c8cgIjpcJxLnc2BcYmU64/Yg/MzC+02kOJAV t/CfP4OGwDnTbIo4B4ecTY7XbafROu2Bh48EBzf/dl95IYWG7VProfUzOdDM sR7trqch9ex0TaA8B4/5UZsMhDRKXe3H1ZZxYODrK/dRho8w8xutmQYcJHv6 jm3Q4GOFk1Gfpi0HpYt8O3ea8CH655WxmBMHDxUrlg7Y8KGl6dvw/AgHEulN X7oc+JCsdEk3jeJgMy/0NHs3H77vexVWkfotGnkLdRz5EMjX5Tve5mC7dfn6 w058tCu6W+fXcuD/sGZGP4ln3ci/wSP9+0sl5CdnLx9D2xw0vzMcRNqbRafv 4qMpUMu6TYoLbp5N0yryvuiIzzbLl3Jhfj1WNX0TsYL2grdGXCwYfKahbMHH F9crmVUOXFw1/82avo4PFKYktHlz8cX9D1a4Lh+FYY8T5oVz8fXPgOa7pN6J 6lWGvqlcFLU0zK9fwsft8yGnOEVcHNhVV8BW4MP7gL/0nkdc7HFx9uPP4cPc UG50hE2ul0imlKbz0bLFYHCEz8WusKS3Tj9oHHKLtVs3QfITCzw5i/S7ZdPy i+9lKdzr+TXVZJBG4dXwT1PUKNwdatX/QdHw8J8ryDKk8Es1vsOumcaK8lHz BisKGcXMiOFzGrpKLVHZO8n9nlLHHz6h4V7DN7xK/iv/qFi++HSfhryEo6ph IAX7OtPGvn9pPMgOLg4Mo9DgLGkaXED29RYVx2MXKFTnZjyqyCPzsVqtYBuL AsvuhQQriwZPmV2ukUtBe8cDjwkWjbrtBvvfXqcgOnrf+3U8DW5m4Urd2xSU 76to74uhoe+rEhd4n4KRLzs7+SyNNllJn/tVFKRjz+5yD6fxaqgKi6opGPey 5R4F0/hS62b9uJ5Cp0lVfuIpGr8P3Mt59pLUc9Hj7ILjNGZbmYk62BRy5dw8 DAJpWCv6qei/o3CmZ93l1iM0KjVEnUwrhf619JVefxpBGt6eyzgUZALUSyz9 aLy0Tj4o5FIoNbiQM+ZL46/DnGD3DgqtGbbneD40lmslC+I7KWhYD6RIEK8I jZd43UXhwfAxkZw3DQvv+rUV3SS/JUV8Vy8avc1rir16KFzYOJjV6UljqvvU lUPExWy/W6eIlXarXLLqpTC+N+O4FrFK2e6+WGLPCaVj3z1ozE3ndecRB7nl vfpA3GG/9Ukp8dO8yoZO4q8zsiqqiXss89e8IW5MihNvJn4z6/W3WmIp+lJD F3HJzqr3FcR5RSc/fyaOcYpKKyQOvpuoML2PQsSrmbpZxKkvtWznE/8Ks3of Tzy7tMlNmThD+F06mthK++XalcRrZT1ZwcQBvZvP6hEH3uweDiJmF0TZGRE3 lNhvCCBOeOG+dz3x3gPFP/2IT/37fLUZsSRHutR3Mr5NFG5OvMY8he1NXCI7 67cFcealiAwv4tpO9mdLYpnV0m88iW8dESZvJFa2erV50tmm4eOT3iGf98OD ONn77EYr4pTsa5WTThRNHJ20oWBx+qT75oliJ73auSZi0v0tSJv0ckeF05PO t6zOmXT1cPmxSf8fiVYA4w== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Qk01OsbB3CyJNJ1I8qSpYU2FYoi31KWUtNmLVxRZC2UkFQky62UtFxK dHVJlCIqRY09ZMaMGYayxG9mLGMJM6n4//o/57znPZ9z3vc5z3nPc55X2+PE gWOzxMTEWsj1e3+tKB+xgTGJtw92LHdJmgT9g565JGsSlL9+xYSem8STxvmu m4ST4JdS127Mm8AU+8b1EWUhODJR8jzuOEyYt3JXbBBiuEQtcePacexKjP3+ jiIEnbNlXC7lGw5Pznm81FsIY/8+HT+xbyiJeRzoGiXE3cxPJUUhY/COtpjy ThGCn1RvcXhoFPG5Md+3PxbikZxTW5f/KDwF69VG3wrx3f3JDHN0BNKUgn3q H4XwX0/VUkofQbHS6cQClhCeLvMbinaP4Ftt1fP8HiFU5C4aG/wYRl9w+QtF gRCUxsybu44MQ+zE28gekRAHY158j6oXwFrCov7ylBBiStw7h4sEaF1a5677 k6xXI6B0330Bbq602VL5S4gPLkuN3S4LcHVVsbvrjBB1u1O/xJwQoFvBTPky 6cL5jnpmAQLISG2mPiXt/++ZZ+O+AohLFxxlk9atHgnJPy5A8JyEwgHSixdE 9yV4CyD2/xDB6/8hABH1dqfSb3/L4lkcE+BiivINPdI5/xlFaB4VILBRSm0/ 6azesdLWIwIwtPzSwkmf2czfnPyXALVXrOY/JH3h7FyhrasA7y9vzDWaJQLV 751fqpUAC323xldIkG7UuS22TgDXYdc8ipQI+4MTbaMWCXDySoIyS1qEhXJ/ H1GUEODYj5pepoIIPxpOGyBgCB/+UxjRVRVBevZriePtg3jCN9vSpCPCaleu ovueQVw7mdX6caUIov7wNz+pA8ibKWSpGoiQrL7HSNlsAB6jd+ZwTUV44BZc qRPaj7D5j26s3CHC+pDENM8SPv5Yprqe2CUCxXxxesAMDw1L1/So7hNhneIa VuceHq6HGLbXHRRhftEJY4+HXEhN8m+M24tgQZhkZ/0koO322jbUQYQpWvaL 65oEFHvWZSnZiZC9zH+Jw+4+yD+JX8KiiDC3wTzROboXs8Pk/alWIni0ORcp fPiKAZVrFj1kfY73n+4Qk/mKow45KdAX4WUk7eFrhx5M6dyN7NMQIZ2qsKEt rxtho9XjGeIiSMYppKyt7MIp5/IpUacQAurk/cjmTvz5Zt9DtddCiOyNzhzZ +AX1LzvKTa8KYb10MiP5RQeYtXrp112EqKZOuL2xbEd3buYDe10hMkJtF2cK 2mDja9dYNzSJ9HB6sW5eKzzhzBjImMSvvczRemM2ZpFN5kiZxOiCl64ZnS1o v6OdfWtyAvvPTX3kZzLBNDTVX5s6gfMvJKykzzGgoGCY/mzTBAQXPX18TjQj aqUbJbNlHN9pVfNSz9AhMC/fcSVwHOLyxI91KTQEd9OUrw19g/xmed0965vQ 5TmR9cbnG5I0AmIpgY1IYqjP8L+OoTTpRKlmez1q9kU09bqMIe7a7brqkI/w ol9V9GwZxaG3//jfNqqD2ZP6QDnKKAoS89vWqNYipPHsrJCaEShZpv57RrsG XlasQg2LEXxaIl+dbV0Nk0vNUdcVhnGn/k253vYquMnLfPj6aAjR+ophfwVV wuSdWDNhOYjB5WO+Mw0V0GpyYPWN9mP3jyvH7++vQMXag2PMXD52Zi6l3vlB xQ51ZxvXIB6ctEz3z9RQEXs+TZxvycWgg0A2uoiK1F0vdJ7qEUgRXxDiWE5F z6OpFdf7epHZkZ8TNkbFCraiU1XxV+w0i/dr3FOBbzP0VwNpPfCSLXBMoFUg rzveJzylGwn5FdmnIypRWqLVUvOgC86p9f8xbauwMiRNf1NEJ0rGqEFWltXI 6F/Y5c7+jNtv53HzvWsQaigBH/sOPH7d16hUVIv8q2bx+REc2PPVVcTefURx GePihZZWbNcr39Gs0ghqQ2Y/4wgbZwJ90iSrm2A9nO5erMbCrghBEdWTDrZ/ wvChGSZ6uwpz5eQZqJi+Fq0xhwk7/TvHPDqY+PT4WHzsBgaizAPKyhpZ0Lnm WWx9sRmB5Vk+Ee2tyBFLDbXm06Hdv7PTZ5oDWWbwxfALdFh6th2equxAvj5z 3dByOuaNTXX9mfQFs7S8FczbafgnvXNL/aouxOiZCjTu0eBT+a7t3dxu3O0d nrY7TsNinonTT243nA+EMz6Y01Bg99zSpbQHR1QjVZwX0yCeMJ0sFvsV89bm LFwmTcMSrUG21/ZeqHckGiT2N6Hbz3QkYKIXlWnWRGtLEzh3qo0dUvtw/m6S bkVDE17JGOx7u56ASdz1l98bm7A9N7ksqZRA3Ku8WkprExZ1qLGkTbioMNyQ XEjmO5HUZncjm4ubBR7CGCkaxvl5ixW0eLgzN1J/tyoNn8dfZ1nG8eB+hDgt ZUhD+0MZ5dIvPDgqETqqe2koU/55V0aPD0rF5wGZQBoWGk7Noh7lQ3NW5DaP JBp+VrXu8rnNR8b62KGqFzRM3B9iHyvjIy7JS9jFpiGet/zxzGc+AvOfhYRN 03DdKsrw6CQfIQcZqRbk+9KXK+2+JtOP7uKc2jl76di52pVydEE/2ELz+Adh dKTlFvc81eiHQaVTXPtDOo7sXv1STacfQWe3FaQ20vG3pKrd1iX9+PJM41iZ iA6ttH7p+9r9SHM2aV21tBkPl9uff0De79S8WbvtcDN65maofyTzBxUxK6KS m2Hw571oL7l+GNdsPlVe14ztlznj49N8SNJB6RNjYFnZd/EvI3ykP+gubTFm oCVdcyC0m6yfaX0yPJCB2JacnVJ0PlpPN3aUZjEQnu8nSy3no0/c6GNJFwPT IRsTqE/4MLdNuiKvzsSL8umu1Xf42BHiue6xAxMLc8xLVkXz4R5v0x92nYm9 ii7F3f58OFkf/Ohfx4R1SICpnyMfNvOXXAgVb0HodPd/ndv4UKvevDrBpAVi su6eB1bzMS86/FDa6RY8OcRwkVTiw1DLq+Hg8xYsO7D7n44fPGyVsXF5NNCC uaVGiQNfefh2eM3VS0tZkFjf9wcaeAiKcgzmHmbBqj7iV08RD+c0LqdV3WBh kPUysvs+D6d+jUsurGZhQ/SY03ayXxSEQXHvZdjYbXPribwvDwE+lu5ZNmys rXNyzST/sxfNxdx3sWxEEtq/ZA14KHzEUpV7z0ZYLXvCToWH55a3/a4K2Tg2 sqkh7hcXH4YGr+xc3YpIrfuU3F4u3Jf7egQdb0WU9KVTnBoubicdeZmd0Qo3 6xWpZ/K4iLt8Y5kUOS/CiR792GQujHK8F2RLtaFo3UKuRAQXnismZ54atEFp QcnQqAcXZpa7viU7tYHh4sbctJeL05YKeW/OtmGp7sSlHDMuZCjiWyzvtcH2 wy0Zk1VcVJbnfDzwpg0X32uadqtyEbYkaI0kqw3FXvuG0+S4ECsfSmNOt+HT 1n+jCsYJlCy++sdqHQ4cH43HHOsi4KsjG5u2lYNZT8+eS/xEIKl9b9TTQxzM vqp9b7CMQPCmzFLeSQ7uutaaOT0nYG9Paa2M4eDGobuLUh8R8Htj7FJ4k4NM 1/HjF9IImBcY2qlmcuC6XPNhezKBDR8YO+3zODBMcVA9/zcB6TanZyUlHJwY cZfixRAI01UPr3rPgWqh2vqKcwQmji8aHK7hwHQRs50eRqA5/afPrUby/tDc Z59PEXCn5zdJNHOwrC7B4lUQAYpnQHVECwc77nkEbz5BgLHfYkaDzcHh+MbF soEEVtiJl8S3clAueKYpHkDAJjptM7WNg43q3k9V/QkEtkVP0DgcFOfoJxzw I1DBnY5/007OWVs2L8uXgOSM0OJ0BwdGLG2fRaSnDWx/qnzmwITqtvOBD4Et UYqFj0j/uLT9jBFpW7dFstpfODhkmqnGPk6g8tbQgSukR60SUmJJZ+tlOtp0 cuAQ+qlrwpvAr+IVIc2k1e3yLv9N+pos56VxFweLzjfM3kJac7lB/UXS39Nn tkqQtjRnfi0hPeiRzmj1Ius3vniwk/SmXV1lr0n/qZM0+ydpIvmk1L+kBfOy +hS6OfDI2BaYTDrlDz05LdIv7f5yukxaUTn3uy5phaMBM+dJx0xcsdP/fb4r kYgg3aqt7WdI+vmrJ02hpIfss88Zk1aZ1o8PIV2d+ap8M2k3NXvuSdLh67Y6 byGdpx7XGEia+epcAEifLShbHEA6eKGGyjbS9ufeVfmR1mDb+VmQ9r2Z/NyX 9NYoavIO0gzurNHjpCc/h7Vb/vYZyT5v0oTXdJAV6TIXGd/f5irnsn77a32C ym//D8ZD5UY= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFlnk0FNz/xw31RKKyVKhE0pNKlEeW8s5SUkohZc/aZCtCoZQliYosI9l3 YwlDdomsJfs6lFJmrDMVWZPffP/63XPu+ZzXPZ/7vu97zz33fsQsb+jasLOx sf1k9f9FAkNzaXV1FStpAxpjdG8o62pmFlL+QrAzOEA20hMHzed3ERVW8NRg b4yQrzuk6MHTTm3LkBt551utfQtt0mfs/7u9BJuGfQeWqm/CwidQwZ+xgHVH SelOeQ5w1/zXl+fuPF5xfHp4f5aIXVM6ej51v3G0PtVjo5kNeE4pOmYfmMWo dvLJ4deWoNzkHrGi/ELHR8eK6PKrOOzsH17N8ROD9cfdy8dNUaS34H9xnoGO 9faOup7GcFNkWyJ5TSJ0PPydfoghUveYV/yxGsOTE21qbQlXsKdAKey4+Ci4 LxBf9QVcgYqo6+XPOiMwyyIt77E1RKnS4dtSlcN4KNdqoCFnDM+F/YJ8Dwax vMoTIs9mBq8gwW97evpAZ7dVPzl/FR9POuTzZHaDPVdCfD7WCoy6Z6rJ0p0Q +SBv6ptni6E4Lp1SQjsUrAk1OSQ7ZH/zn9WSacFu4atfqwJuYLzL2jK/qwkO lN7k4K8uaLMrOeg+XI/Mmc1dWzrc8VBAKFFC8x0E9DnPqjR7IX2XdWnj6ls8 cHLZe4TTByJ/RCvjEquhUmwtNCrnhyi2KJ93jlUw3h3Qc57yEM1FFuoTVhXw WVFWU30SCGn3oHa5B2X4wb427kR7MIb/FTm+XF2CdqWdayqfhkDOJpmtcVcx tsp++rZ38jkWyzlDxZqLwBW0d75OMALHDxD+NQgshMZo30ujRyS4zg5o/TWh gPH9zNiH09EgJhvMvD9ZAI+hVPVVq1icefZdyE81H2fdA57MfEvAFZXggoGd eWhzVMkfN0rCKbX8RxktuWB7/tVR9Xsybrrn56YF5yDgR7RXRWgqPG7ZdfMb Z4P/yaiEmlU6nNYutispZWF2h2Ar0ywTQrgadFowC+UKEno70jJx7qd4y4sf ZHTou4bxTWVCvcb2yP4WMhQf8IV0HCGjxc/YbDWDDI6RlHMmd8nwK2n6Y51K xobjglmZfmTcunpP7UMiK59zQnA+iIywuKuHDseRcSUn87lmGBmX61+22cSw xtXD9X5EkvEy+n/t/6PbfZfw1igyzA8KS6qx5h2S+1TMQSKjO8VLfpKley+0 9YITS4dLRsxcJZO1/t3J0IFnZCwR2qLC88gIPy9y+2QwK0+e++tEMRl/NCx5 E6+REd35t7KeLQuJEWIiyhos3Qsdl5zPZsEtz15lixgZ9lt1K5ikLFwWCxSS /ZuJxiRZDvVvWdidSPS5P5QB64T8YX1SLjzn7s1Lt6RDZrm3zvxUPgKv8Vle b0lDWAEhWoBWAIF/CihWQ6m4I/3qw7HcQth6DeuaLqeAcX/dk7H411CNZq6R 1U4BV0YnZ6hJCaKs1zdZpScjwfRYkLxyGUQV+3ijuJIRHCerlXOsAm8Eietu uiXB3eFE3hvLKljqBl2NGk9E6N7sqsN51SDcIG8qs0lEoe2S9vDmGpg3UUyG lhMgWjY4zbG3FvnZNqL+8gnwboqf5jj7Dqpnz81t9orHsm3Cv6e869Bzijks 0xyH6xstsiRr6sF1uEbq2a44bJWJfzvL3wi69SYZWMeCXdS2wrG8CUauTgYL hTFo+JibNXn7PWzqLZSUN8bASPrhQoR2C04ZhO986vYSvK6Pw20UWuFzI6PM nRaN6zROicgd7SiUGOL1t4iG401zGxWpDtx7lrpq2PwChoTuRYvATmw/GT/n gBfQMyW+L5nrgvTIivOP2ii4PhmZFnftgWESzxpRvSjYcyj4YbUXk9+0NJSY JPx8KyVqQ+rHvl1oCyKR8DVptif7KBWGV4XibTRJsJbcZ0qhDUI+zInTjJ2E eK6ZlOCYT3Diao/90BAJbdTWvdIbRsqbsiieiEjY/3wsh4Av8C/MmQm6HokP 7z/q5Fh8RcsTbRfKqUiY9zx37VIaQVGaWuySVCRSqsJ63Td9w5FmVbHbPJHw zWXce3rmO+QLRS7dX4nA66b1ZdfcR2HWEHjKazECbiI3vOQNaWj8VTDg8icC 0XVOl9fJ0EFQW0lvWBuJ7rURlRuW6KgYYPKNCrD86f7iayhmvcNam59q7YsE J1sW95LNOHzNj7zzUotErqbZ+Kt1E6DQBNp4r0Yi4f1DPbHYCTzp+8c60ScS l3gvhpTvnkSM8zrjLUWR8HByaa6on8Tof2Ut+lORUPbl77LQm0J12J8/5ftI cG9P83BsnYKJt+eLN/YkCK116aMoTCMi2HNurIAEb4V3MRwR09ijWBDbvUyC n+28k+jINGJqedbs14qCTk9DLFmCgQoPk7jk6Ch8SbFdFTdl4Lmim7Mt2wt4 0XTOlpAYaBZNr9pj/wICzjvCTOoZsDi6bW34wAtQy5385icYkLtG4rl5Nhqa +4ooYlxMtPRpagS/jYbE9us0WTEmVmpLQ6sUXkKfL/mjhhwTAmTGw7HCl/hi e554Up2J1SP6I7OyMdg4L1c7e56JTWx1FzsoMVDa9Kvzx2Um6lIGbZ3lY3Gu xsa93IyJ16v8tS2VsZDwdA0ot2Jiqv95H8E0DjYSlxzfXGNC8Ees8ChbPPpd RQMO2zGxWWGr8+3MeOQG5Ujb2zPBPrpeuEovAemqlYpZLG5y9/Q3IyTiic6a X+IsbpQkyr41SkRZ+7D6ynUmjJro67mKE7FkfF/xCpGJhu8pIhz8Sdh+sdfw nC0TfNPy3QznJLw9b3qewfJDzCQ6d3UmYY9ltaeWBRPiPsLRpf8lw/znXoId y79itKdW+stk4NZ3jyvGTMiZeH9IJaTgmFOWr8gVJgwy5jMq7VIQzK0pXarP RJChy86o2RQUNXuoSF9gwn7ZYWWtbyr+pEc+cD7LxIZbhLDt/GmQdCriDzjF hKF3ZgAjIw0zg9GVTqpMjJxx7w05kY64L5fVDh5jQlpjtkbgUzpm3G+8rpVn okfSXEE7MgM3uN1gIsNE2MxcSb9uJvyafevf7mNCSSm6YECQjC0psYQf4kxw EF51OX0mIyD1jsm4CJP1XxqtlORkYWr1AEeOABPVY1N8Ka+zYbFRVdmYm3V+ wuvjuxpzEJv9brGAwASB2vfs0bdc2Ok7jOSy6pqqaaXCP5x5IN6xddOeZiB2 xERdYXs+tr91Eg4eYcCEe+ev8G/5eFAbJGDRzcCceuF2s8ICnJRQoYSz7qPV jgXdzmAKZDjIxB3FDOz4dMVayrEQRm8WUhbSGABvXmeEcxG6sqSsVcMZ0Ike PHrb5zU+PHZ3TrvPQGum/R2BuGLcXDS8tsOegSv6Z2LIdSUIHR7jT77EwIsy znKHhVIQLyx5HAADu8YlCjq2lWP/GuMb66UYMFMo57FWr8DIxkQHPgEGbieq hivcqYTDtkaREyvTOJEtfM+kpAq1ZFufkNFpLItHVXSzVYMybLNhpWUaFwXZ 8+Li3kJ68c7EvuRpJOYVR4421eB3YOiLLtdpDIk942US3qFsM3PLrMY0fnts E1E4XQeb1gnhYL5pJOmt6nDH1IO37Mt0/KcpCFEsL99dbED1rdRzx9OnkKIm s0L43Iii0q+/a3ym0H/4Nd2xoQmuoqStV0ymkEBOszOjNMMot+wjp/wU8owD LxGT3uNpeWrvZ94pHGN8+W9r+AcofeqOptEmMV/ic2n8UAu2DpIO1LZMYtP1 IyL3PrbAIYsqoUuZRJgJf3+u/Ufo+rz68TJqEuyCfVGX1rfiBt1NK+nuJPgl 2hXOkVvhrRF72M5iElILd+7JFbehQPn6X+bhSRSuMbC2tGhHlID+9A+OSXgI 60tto7fjeV3h7aDuCRxyqK3ptO9A3cxB7qHUCeid+x7yL7MDWuWqHf+4TcDn 9NoMI1Inagd8vosdncDQOY4dmYpdqP32c8VvcRyPNmSLKfd3wTjv0N+7leM4 RizPPevcje6slAumD8bBe2SVV2JND2aEkzxcT47jQ+bdGonQHmQGbgvauGEc g3vaZKuHetD6foQmPDWGvOyLXp8le9GUKrm5uWUMDLu/nTedepHtRRWRfDUG sZzuqGuFvZjLMTx/PHQMNN4HxiW/e3GGK3ur0K0xOMwOzIZf7oODeMiUkeYY knijBr5Q+vDQTpnxascYNvMJqieu68f4f0s7pefo2G2pazZ6qR/UBTOxyXY6 iv8e/9oZ1w9hYoP4r1w6Xvn3JTrW9eMgPURi6CUdb3jnVLjG+0E/GvQ4KJAO pbBHXBTuAQyoGHX/cacj5nGWoduBAQxt3PdF1paOz43zLhZnB0BpWJjaa0DH SERf8WO3AQhtX3i8ADpy9VsUeWMHcNvXaqPRfjo2dTdy7q4ewHHJbd9PbKPD eG+y78rnAVRPCfkn/ENHafuhyK7lAVQ97Gi1naNBWrR4VnsnFWFEsm/aCA13 HVU9Dh6j4tlC53upDho4dMrGf16iYnOJW0xzDQ3BOZ5tmxyo0EMYu34RDcKe oWsXvamob2UoxWbSEB1zl7kphIr7pxseu8XTYFxeZXA4lgpvoRWJ9SQaUlc2 DppmUKHuqnix7hkNrk+XE3vzqeBj83D3DaTheNTuJ/2lLL1Dv+7t8aMhMYs/ 7UU1FWP75SZDvWnITNwSerKeCsKjM9+zPGmYUWGU1L2noqfM5VC/Ow0+RZMc Sm1UbJc+o1N0i4Y3/pI/uzupEAuWCRd3pqHk7YVjVT2s/b7hvbz+Bg3neVd+ 8fdTEXksL87AkYacA1JOswNU8Ns+zfhtTwPjL5tqIZUK+ljLUyKLq2MVJM0H qViz+ePMmB0Nm75qTy+y2LGKPdGNxWldHcoPh6hg7m134WFxaUtXKPsnKg6k LljnXaehkvC89AuLpS3Qt47FV130/cM+U+Gm1/DpAZGG/wOOE4TZ "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Hk4VdsbB3AZEqcoQ0kaFPIjTRoo7lcpQyoabnWKcEwloVJxZeooZVao bqFEoyiphLolSQohDnvvHyX2MXNIl6TuOv2xn/18nr3Wd6+13ndvTZ7PVjdJ CQmJJHKJ72fOmE7sV6jH6bpnmvZx36B885Tx5Xn1WDa0Vd3K6hsCz9kWelnW 4/6Nucf/qh5CWNqknMOe9cjMMpdx5A1hz46G8UsS6yGpe0F7QutXCLoyRquL 6mHJd58w6v0VHv4aY3tb65HjM77YVPIrDHZypD7LC7D742qj4SuDuGFfl+S0 WAAuNzTF+49BaCVU+uo6CBBOXZ9/tGYAthY+I/wzAkz8khuc5T0ATlxWQWiu ABqnpSKXKg3ga/hqvj4twJUX+jHrikRYWC3jFy/ZgBnyfZ3GXiJ4m0i73F3S gOC1Ky46TxbBKfxn4PDeBsyfa7OiuLAfkRfS5kRFNgD8hx9jD/bDbdeH6KN5 DZCJGMifpt2PyaGmfWVMA7oOjT2NfNWHJ4E8+18TG5Fe2OG3TbcPyeOfaQys aoShU2WG4FIv0nSdmCL3RqTFN3hfn9oLY3vV0ID4RuzJunQ+IKUHZ26f32yW 34gbhgpV1gY96BXKzDorbITN1fmd5Xe7oWyaskdOhUJvVaLvkeXdyJpkPbvd lMKBT1s4Q2VdOOuu/t7ajULSmdZBQ7cuKA5nbLOLpCCtml5qKteFnqsrZnY9 pPBvjWDK6+ud8PkS1xxEUXjlMGZnaNmJrjEra6OfFPL28ibwBzqAmvoMi9k0 YvVS39VldKD4o6inzpxGqcqYkottB5od5+lJuNF4E31A9du4DhQ8SFsrxach XJB/Ia2wHU02pw6rpdLIqpr+OjGwHcvvKb3we0xDm6N+RHdNO46v93G1fk9j RsGx+tecdszySdEpaaaxf0GYbTclRPDtP7MURTQO8NuH9bOFMNA8MNr3g4a5 tNpT91gh9pWMH8iRZfDL0HL6bV8hRlvzzjlOYTAofOpXtV0ITkiqkoI6g0bl 8B1PVwkRmBLa/laTQUWWrrL1XCH0Oba1ofMYPD7bX5GlIcTikS6BnjaD6cPF hTrThBj2dtUq02EwosMPfzxFiGNRcuwuXQZm6YY1eyaSvPfnNoQSP7ed0F3L EaL6REjcTWJRsLTJRuKDE+i8SuLdFUrFJfJCbBzIRAvxmw+XlcKI9ezjioeI 5QXXfU2JpwVdNJf7H4Mlx/2ejsgJYZJfUKRB/JNTofiY+PrMZWnmxDP2nxEs JJbVmMnzJFYP2lR3c4IQAzphMgnEf/WMl9Mkzv17/92J+gxqRiUS2yWF2Dbg tPTEAga7XsULSsZYtM9SKW02YBDsbMd/NMzigyOVsHIRg8PNqlYFgyy+JVyc l7OMgY/GnCJuE7GUv/lGYwYF/mUnvcpZDIWUFGmYMsCjRTT1hEWPT+otAzOS X+PcEHuDxVoTzpGotQwClb6b+CWz+Bjx/GvrOgYv7A/bGYeyuChxaxu7noGe zqDdVi8WG5Wln+QSO3SEuUXuZlGRsSLak4x/xtsvl7uBRXJSyTN9knf0lKtF qgmL73bnmqeAwbi4Ci3dxSz+3VnW403W95oqYSdrsthrOlUpaimDpZ+SW+NV WGzYmhiUpsegaaGVJ1eehWP1/uom0g/dsxVvaUmy2PfH56KjagxqMyPC8kbb MJSoHBulwOBTS2l89bc2dHM5+WulGSSmXtu6YbANlvmn/skfpFEsClk+rb8N 7zI1mb4WGrKDLjYr+9pIXuTkZTU0quYbPl9Ing/FsdEvXtJw/agTmjTQhpuO kV7FD0j/27KeKiR/3/3+aXvSaQR4FNfxvrch9U2zXfp5Gk8kKyPX/WrDxpHJ v06R70v5cEscT4bF9LDhR8f8aEjVv1tTymEhGf8uO8CdRpC8YiaUWAxcXLw/ hksjsbNs6h01Ft4rJA/c3UTjU7esRecsFtey5tx+u5ZGL6/Hv1uL5J29eoM2 oqG2uULluh4Li8dmRa0GNKr55+SXLmHxT+0LqQVaZD/O5U3GK1lEp/luSppB I+f0yoh8Ug+u58kGaRWyv0vdIffXkPonyo1zmkQjIUlx93wL0h+ie9kxsuT/ 8bLzmhap56o/sxKPSdLw+vxD/sEmFn5Cb+uRHxS0gkq1k7aQ+cH6CvbDFI6Z 5Yxr384ic7aBR9BXCoUry4MLd7J4L+9nZCai0DSdu3kO6ZfKql6XqF4K6k5p t7TtWSx7G+5k3U2h/865hY0O5Dzevqz06KSwPnJcl4Ujix0n1Hjv2yl0LVW4 FObEYlTQvMZfSOF0RYBHhDOLVy7+Do4shXyRh8CJx8LJOuHy8TYKc42ydVRd WFzyVIvJb6UwWnjI/w6xbqWN/gxi+XTBiLYriwsBqglpXyio8LAtgrioTumT EXG8uf7xBuKf2bKXv7RQOFppLK/hRtZ79lD9FeInfG+L7cQpib2aPOK/ubXy fOL0CmMZJWJN9QzFV8Str9dENHym8IHlLxAR7zqZvT6HuDabdVByZ0G7xD5K IJ6c6mGkR1yb6RVzgrg9KGbHamLbkXueB4k5feFXLIkTRs7znYnj1zNWW4hb unZwucRXL0f37SQO58cUbyNe4rkoxJ6Yn9fdZ0tcnqST5khc9FNi6yZijS25 r5zF86NEDjbi92e8dHAh5ppoTttAXOQ53dOVuKbsiJk1se/CZHU3Yqve5XlW xDNUZGPFjvEdXCf2SHJBh9gvU9SlxdZesWq2O3F0n6DJkviA57g/xH5+o/Gt 2Or5TrZif8mxeCZ2vqicK/bIvmuPxT4fv8lR7PJVkx6K3Tq2nif28kWSD8Te pT7sIvasyNIcsU+MjLmKjXKF367yS3YT+/8SGdli28zr++25VSG/XbpskrvY P1tcftvZXeu3/wNzGrzb "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.42000000000000004`, 0.7}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.44000000000000006`, 0.72}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.7249999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVse2wLHE3o1dUYI9WIJdkVFjbEGjoMTeNdglKMao0ajYO6hYYrBi FBVFY/fDRhDFgiBSRHqTXizYXt5a32+f+44rz5t3c++7bz3/Yv3WzJ5v78PM nj377DlmY2fYTihsYmLSvbiJyX/+XTTvTXNTlwjDmKtLDCOsvFX3S9NDvAfd Fy5f+NKzZTZ+woNNv690/FdPYeSH9nwU4dv1isjDyMPIw8gXPfI81HbCLZGH kYeRh5H/umSpyd92vy/yMPIw8jDyFheqOXSyfyjyMPIw8jDyhWY0mFjU4ZHI w8jDyMPIP9lQ40SiVYzIw8jDyMPID5pc77Ob1+NEHkYeRh5G3vB5I+9j/RJF HkYeRh72Syj0aHjsSdWkTvMWbqHJavg0D7OSdwOEaXd92vrod6OfSDtM++s7 nZqNSElXsTvbLv5mWqghynl32Rbj3JWNoe+AvHm3hdEX3r9yuFWrjheEWx9Z 6Vmi3CY1y/tQpplrkqrnXcF/h8cVYdqjVh6fXqx2qrKp4t75/MJ70g7TTv9e 486kp+5LEz5hZZh6p1mmjE87zw99eH4wzw/Gfr1++uep1492+vM8YZ7n/PWT FwwZtdZQ3SxtcZNBB4RrFiTfSc5KVJUHxBd7POEXNXjZa5stqzNUau6oVMet IfJ7O4q+ct2y+r66PXFq+WFtktVna7Y/7DY3zGBx9NAgi5kzleuRoE/XjAkR zr9damFI73vCR6Nd9nUeHyAs683IjuZP+9xtfUXY4dat2OulTgrz/y3V5Ofz maPOyfODsaet88aLDfudEn4c4XX2jKNB5FsUpIattPtN5GH6X6sXP3R/wDXh 7fezB0+PvCHyaS2KPFl7/q7Iw/SfvuytfbuM28J7di5ramISJPJXYiuk2AeG iDxM/zLOa3+JXxEsPOcrt8Y3KoaK/JbNpkl1H4eLPEz/mMY7PI9sDxO2Kbyn 4SbzSJGf2ssiITnrscjD9P814uB+Z68o4Q3hX286sj1a5D1e78we/GOsyMP0 79Ez4l7dxzHCBT4jK24yj9P+f6F7Z3YulaD9/4xMf+96sf2LOsQLj187YYOz V4L4A/rD+B/mI/OZ+QjjP5CHkWe+0p/5CjNfYexBnvlLO/MXZv0svZ/ZL3Bu itjH/gmzH8LsbzD7Fcz+A7OfwOwPMP4e1vtv/FeRvRvbBlS8qPbU+L5s/Z6a /2A94u/wjzD+59K6h7Nsz/ipDK+ngccLp4n/on/Blw63DUm3VfsuTuvUpVTx l37LDWkLbRKs8Zcw8wWm/3cLPI/1bpUk/hWmP4x9MPrA+Dv418MLDo/+IeQd /+tVbODZqje1/eqHrfMGjHTMUJFFp08cvTJEjbvhlNj+frKaf3nZ1e+6hFqX X/rwRMbkVcLhg56MdvLfLRwcsfH2j26nhbs4ex0c8elFYTe78XFB6deFAzwc 73Y56y+8K9Iw40SJu8Idl/SYOGn6PeFZ6wOnzasZIlyh7cDxloseCPfqFjGl u0W4cHzymLEvN0YIm+YnTypr/Vj4UWC7lrEDooVf2L1s9aRRrHBPT+tjfuEa j2tW2OeOd7zw8UVfND88LkEdcJ2RUPPUHtXVZYlDm9+fN+21htocWZ+WpJbm TRnYdO9DA+1dvijkva/dA+Fe7SILLjjdFS5VIc5reoVbwqxXuGqee7efV/gK m366PLfRuNPCkSYHzKu28RV9xo6aN9WszPV39GsXXf64+5UUYZdWdhazZqeq QxfHTnne+670z5gaWP6HU0HvyO8+W7Xlgi/ThDPLDD08+I3GpV3rHBsTnCE8 JHF0087LM9WheoMjjhuuy/q03rO735uvDkj80dptXtG5dRIuEU8gL/7FyOJf jCz+xcjiX4ws/sXI4l+MLP7FyOJfjIx/gVlPMP5iz5I2d0p3ChT/QXyz4q2j y6AhqdKfeKbUuvIlHDpdU42fra68LF57fl+npe17HHNIdVlu4TagtPc7z3+J 0xrHhj8kq5zeN7pkVr2lhix/3aWq6xN1bf23Q7sOOKPCjqXHftNMe/4T0v2n 1TmYqLZd2VWoTcWd2nyJsjzjXs1bVTzZs9OD2xnqxOKXYdtX+0j8JOvPGD/h P5EnPtPrx36BP7LMmfvptsBkZRrvOHvd7ocSjz3/YfqKoo2CxJ8mex4fuzL8 ngq7uKlKg/ZavFo0pmGPy4czZb/Ef/YrcyF1UlyYoeVvq3sZBnlYf1xmrl+t 8ho7NzteY8KzYGHvZnmdfW6GCLN/Ml6lryw2vvK5J+0P+6VMPfr4rvC30d0W Za6/IZwa7e+/uv1NYdYrzP7K+F7mHWaYlrwq7W3NfRouHn1ZOONmj+1Nxp4Q jr1l++lYn1PCrA+JF43P273CRq+bxX20+ephn1Ay0lfWk8SHxvb89HFBczyv Ck8q9m3MjrcB0l/iQWP7z3YLb5e8GShc6le/jC0bg6S/xH/G9n3D+yb0faat vyiH4LRRe0Olv8R7xvbvyw+Lq1oyTPhkrdjUxqcipb/Ed8b2flccYh7XjBL+ ImlO3ndx0dJf4jlj+8aO52cM3KKt72O+PziNmBon/SV+M7a/rHwlo31dzd/X 2O6S0zVfi9fYX6PMbwwf9lW4rIfEKvs8nVYHCzO/6L9nYociGXWDpN32eOOd Zc74CzNf6H/L1s6uUMxVaT8xrVLQuBPewsQr9LfpHtrA4exZWY81L7VZsGS8 v7D4V+N6w747fnfSCn2m7QfpNq5ZpYpr/ovxd9Uu7bfud/8m+9fOptV/d/TC 9udPFZtUO0TVmX817MjrZHVpsmfVfr/eV58bJp4uvjxFfh//z+918HgwJfHs E83/Ndw+I3N9uvRnf6B979xHqQHdMlRGwbZ2y6v8rMyduiWPmJ6pLvjbhjfr 4KsWTWz9uNKqdJWlVrcqcf68nB+JB01a2E4eejtdnt/tLz/ZNbpRupr4U8iG AxGXJV706B0YXcd2s6y/06s7dphTc5HwtRs16w9q6a+UrVW5VKs0tTNyxsyW GXdUsQPL68Qmpqo1X26+0DrwgdLv51/cT2mZOuCMgfgPJv6Dif9g5P3r3oqt /ukGkYeRh5GH8cfsXw2PZ37+2O+R8GenDf0avowVvrN5+cvISknC02Z9ddC1 6RPh0nbVBvXplikc4p65yORItnD9FXahEWdyhZ3mnG52+lq+8JWJtZZuuvtM uKL9wvBpkS+ER38R17J38kvhY617Lq+f91r4rfnhR2/fvhXGPvZf7IOxD8Y+ GPtg7IOxD8Y+GPtg7IOxD8Y+GPtg7NPnm5jP2AtjL4y9MPbC2AtjL4y9MPbC 2AtjL4y9MPbC2AtjL8z55ORAswf1OmSJ/TD2w9gPYz+M/TD2w9gPYz+M/TD2 w9gPYz+M/TD2w9gPY/+ky/uquC7IFvth7IexH8Z+GPth7IexH8Z+GPth7Iex H8Z+GPth7IexH8Z+0+aNB310JUfsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y +2Hsh7Efxn4Y++9vP+w2p1ie2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD 2A9jP4z9MPavKN4iOKVPvtgPYz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gP Yz+M/TD2W886UXn4+qdiP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9 MPbDK4IabW18LEzOi7G/DXveJzNaeNEB8/2FiicIm7o8GXDGNEX4wjifN9Pb pgs3230xpJJnlvD8DWYWGSdyhG8tdFl841KecM0ZKQ/3BTwVnjyyb4tFD54L n+l73GVYbIFwic5VIttmvBL+2mKuZaWCN8LYp3//QTzM/xcmPiX+ZT5IvsR4 Pi5XOi5/SESW8LU5E9vcqpsj/F18yizr8bnCzQdMO+l9ME847mJW7ifp+cL6 +YS+zCeY+QQzn2DmE8x8gplPMPMJZj7BzCeY+QQzn/TPl/iJ50l8gb3stzD7 D4w/hvFPMOuVfDHnB95Hlc1dtKbE3UzJF5NP5jxCvoX5zvmM9Q2TfyffzHmx XcTOSd7DvSTeh8nXzKwXaWnWxUd43ewfp5l22GPgPEt/mPMC51faYdr5fZjx YewhPu8Qd7VL372h8v4N5n1C6OXV6UXOR0g78jDnQf356e/Nt+vz4cxvzrfM b5j5DTO/YeY3zPyGmd8w8xtmfsPMb5j5DTO/YfyJ/n2APr9/cv3P7t/+N/n9 oHMRZn4vvA3wrS6L1wdfP2AoyE3Li68cplY2HNO17Lgk1bTpiElP4sPlPFux dtf1kwZGC/s4OY+xWBUjfKyghFW9qfHCA2yty8XtThDuG3Y3+cGSZOHMlsXO bzubIvzktPvmtTvShNeWv/1N/3vpwt2/bGm2Z0iWcNVnfVYtydPYraPbnAUT coTHJx6NHmmSKxzf5HngYMc84ZMhldp1LJMvbFljeP3WC54KF77uvLZK9WfC i0v4fl9+5XNh25PhcVnmL4TvPjO/l+pWIOyx17rjrRYvheslLW/k5/FKOGvT ng2enV4LT3/wZMFurzfCXRYXS1rc863w+/Lp/D+t2laqtvdolnDsY5/gCiWy hbP2bLavkqvxFpt2Hy+xyRE+UL7GluXtcoVtzp6zy9+g8dD5O0NezMsTNmlo 7fpNiMYVUupWmeqbL/zrpstBYTWeCrPfwPp8Bfnj9+XXkxzbmpW7oOV78Pfu dm/sbRpp+SS9vye/LPlQo/+X90dG/w/j/2H8vz6fr89P6fNJ78vfvzc/brRH /L1Rn3LLIj+fv+yU8K6BhbbeHbzD8P89f85+gr9cOuScY+2NkX93/pL4E3n/ Eg2q7nkVJfJjSu9P6D46Vsv3GeNT+hcaF366+JY4aX+bMnXTyzmJwsSv9P+5 657xl44kSftP/q3VifWpwsS39O9cb3LF2defSHsnz1dPHDwzhIl/6R/x5rNL nz7KlPa0bmNvrR+Vrb3PMcbH9L+QMb+NY4HWbmXp98mUKZo/JX6mf5mo6NU2 xTT/usas6dweczT/SnxN/6GB3WMbVdL8bXiFdXfMlmj+lvib/ocuHGxfxFTz v01Nchq8Xqf5X+Jz+j8/XGZ9VBPNH3+XOWj+w+2aPyZ+p3+vHTMTzrbR/LN/ 1NkgnwOafya+p7/7quBOm7tq/rrq7TpN1p/Q/DXrlXid9bmsSc7J0Akab0m7 3zayf7b0J54Xf75ldl7vQ5p/shnytXO/zTnSn3hf/HvhF60uZGjyJn7hp3zD cqU/5wHx9zPmOzVvpfGvliPzLU3zpT/nBdqHR7494TFH48k/x7TeP/apvC9k /fV61GJYZ7tQdeeJ48cbaicrj2rFC2z+5n0g8WC58Q/qV32VpPT5df37Sn2+ XZ//R5/ohf2fTSqj5f+IH4nnYOI5mHgOJp6Diedg4jmYeA4mnoOJ52DiORh9 2Q/RF0ZfGH1h9IXRF0ZfGH1h9IXRF0ZfmHiT9/XEozD7OUz8DRN/w9gPMz7v /xkfZnyY8WHGhxkfZnzqCRgfZnyY8WHGhxkfZnzqExgfZnyY8WHGhxmP+gbG gxkPZjyY8WDGoz6C8WDGgxkPZjyY8aivYDyY8WDGg5GnHgN5GHkYeRh56jeQ h5GHiT84H3K+hDlfwpwvYeSJT5GHkYeRh5EnfkUeRh5GHkae+BZ5GHkYeRh5 4l/kYeRh+hMfE+/o65dhqbfTtVPPIPXKxnbJhxiZ+AtmvunHo94Bpp4Bpl4B fWlnvcK00x956hdoh2mnXgGmHgH9aUd/mHb6y/Mx1ifwPGDmu76eVPJfxvhc 8qXG/xdMfA0zH/TtxCuMTzzCeMQbrDf9/0O/H9Au+S0jY49eHv8s5zWjP4Xl /oPx/wHTLvcbjO0w7fgrGP/D/wOmHf8C4z/4/+jvH/A8WT8w7TxPni/rqfGu Qf0zyyQq6q9XGdbubZ8fo6hnJl9GfTH1wtm2Pa8nz8xRD49mv6hcKF5R7wpT H01+knot4jV9fo526pO/LFkywaxyrqwXqdczymMf+vP7PC+pR+b/YWzn/MN5 lvFhxqOeHP2RJ58Kk4+Fyb/C5FNh7IV5vvBsD7vt54IeC/P/0OtPPMT5DP1h 2rEf/4e9MOc15GHJtxrPZ3L+NzLtnMdoh2nn/EU7TDvnLdph2jlf0Q7TznmK dph2zk+0w/rngz/n+cDMB+4b8P+gfp/9Bv8Isz6ZL8xH5ou+Pp78i9x3oX7K ON/19fDk59nPpF7fyPw+81FfX6//ffJ7/L7UTxl/j/cJcl/D+P4BefKByEt+ 0Nhf6j2NzPsK9g/8P8z+z32DLTtd9h+7nS3yUh9rZOIbWB/PMD73D6wSr7o4 W2SL/sQn3EeIaVF4YudVWeKf2X/ZT2H8HfdH8M/sr+w3MOub+x7MP/Yv5hv3 j1jvnNec1549EFA9WfG+hflKf+S53wMz/tk232/bVTbpnfMU+S/2T5j9E8Ye mOcBc36EOT/CnB9hzo8w50eY8yPM+RHm/AhzfoQ5P8IDL4w5E5eTKPv3uRdH G097ou3XwxcP/OVHz1jZj5sOfXrfdWPEO/vtP+s+hdy38iy5Z/TULGXdvlpH x4xg2a/5vW+vl1mQu1yLj0181ZHKK3PVF+3Gt/y6zO/zYUFNh5FeGwxJyWGb xz1PVOc8okZ4mv9+Hvzc8Wpgs9/34SO33izsGKrONqv+XbersWpsxImuvWvG qIHfFbZaMSdSmZvnjgxNTFDlfKL935YINtQIdcjoekDL7/y73tdgPawu6p8w ZG6Q2pGQnV23vxZvv+8+x4w9fqfGjEpQAT9lhXs6au1/dL/jfMfCGbPLxKu7 jodrbzin1Qv/0X0PqRfpVjM6NShatR88a+vLXXFKX3/8P70PwvrsXqXI/tN9 ElRkxKiwyX2jZH9I/D7n2oS5D0X+w/2R/3p/pND1UnXTxpyR/cL+adld3Z/f NlxpEuxoUTVHjb1QvXQ3z4eGJmvbPt/fKlftGh0+eVrPcDmf4M/JR/6z75c4 LHIM/nl+vJwv+P2VrjHLjnlq95P+6P6J28TF3uunRMt5g/3OstC61R06vns/ hf3t0NRddh3NtOf9R/dV9PdR5L62Kl992IYc5bxveUrHjXfeOZ8cCr60cHa5 XDV08dXll6eeM9i2qOTRNj1L3ciInmlyK06eb9L0wksatY0XHrZ3r7vp8iT1 ebXwboNcAtVl61ivusOSVLl1nRNLj72r2gw95R9cO14FlTtaquqqKFXd3X6r xbHHKnPoUO9CI+LVwwYz7i/u8FglJJf2c94a/977Mfr66/kPihS377vH0Kjk Z0lZdllquKF60QlF/QyLdpY50niJlk//o/syJyfuvD57vHbeSbcYdGiKW5Jy n3tyUtysw6ps9pVP6jomqYDmAx/3Ovbze+/PFDSd7HAzNEFNs21QfqpV0KX3 3acpl1XKZ9ZPiRIvbyuxO9HNJ1FFjPstY6HXQUPt6neKtZ6fKPmKiobkZT/1 SFQOl0IX2gc8UA0LHnxcqauWr4j7dmlC2GcJ6k3rbtUsP45QFSb89pvtlhiJ h1rN9fGqNSxGVRhavk3da7Fqhp3J2ad9ElWqabGpc5xOGoqfubwv3zlRZQR/ 1O625XED+rOf6+9zfWSbtbXaaS+ZD2b9H84+8PGBd9Yj95+I1xlv1Z7SGc0m ndf67622cOK5S8IF62pt81jzm/DidZv7F42/rv6n92eI1/n9S182OORY+baM 19bmcE7ZC3eEzyytc+Bi/n3hH5aG/zjDTGPWJ+PVHrenecMOodJuPy7BdlbZ h8J5XY+8bdogUvhc18kRkf0jhPEHUu9Sz3KFq8Njae+9oeODmabRwtsW7rKw aRorPO/t/JoNfGOEiWcZ75vAg3VOxyVJu0vfgBZRfZOFv+xy6/OHQ37fp37q fPSb+E0qxKr5srNDUqX99IUyszZlpghz/mX8j7xmBkx7+UTazS02RbpNSBN2 qvXUcqZjhvCgHcH1ehfX+GDDvZXrXdPOyzvC5wzrejRJhZtbPepj7aOOtHRL vnM+SVVw9X36oOZp9VO/ERbOgUmqnV9U5XlOvqqVi1/U/oAktc8lZuyqjIty 3kY/2y92dtpUMkt+b/RHR67tt9a4xOuoGa7ds7X5Z3U7cWF5jTmPM55Ha5NN 06rkSLt3XoVaP/bReHBaN7/p/XOFe1lYdh5WS2PO74yXZT4+uZdZnrSbxM9y HG6v8cGIA7X7DM8Xdq+1xbVtI4057zOedWV/6/rNnkp7v/sPf2s3VuOnAaWc Gjg8E04sVZBSsZXG5AcYb11hi81v2z+X9l1XrEwrT9e4x7npN0xmvdDWU8GI LunWGpNPYLzI7PVPwrsXSHvacY9ZGXM1dvslqG7kwpfCS1Mub/HvozH5B8az iMnt+mv/V9JutbvozRsuGse7t3U+vfq1cPDDBul77TUmX8F48+9+7b5x+Btp X7XBwWz/Ro0tV2y/tWnrW+H6/is/XzhW4z97Xy9qTMCquRe1fEgL050hjW8m qcovLu62LXVNDanf/bPSfknq1GSXVfu2Xlc//lrswpndScp7Q8v2k4rcVJke Hed5+CSpMeXGVr8T4/9Pv//3aJD70qyeScote/dGm9d3VcimiyVCUhPVwLdv RpVwvq+eDP2hjWFbohq5IMetf7uQP31f0Kd47nG7Uwlq3/3a2Y2bh/3T7w+G bS5qcX9KnPIfPOqLztbRkm94k7Juu2VElLqXXOfRLNtY1dlpmtWY/TFqSOHO QVcrxarTXfoXmZod8+H+4V98//Cvvl+4u7Ltuqle4w2rn2bMevuRlv9ybjnk Zp9yOeqp7/r9GxbeMPg67Fr58kK2KjzmvEW7uQEGS6v6ueUDs1WbluU8WlVO lPyQS53PrrfZrb3P3pZkaf4iUHv/nOO60CfZVXtfnFWm96MfHrhL/ku+j9J1 fI8Ysyw1+fH3bf3dLxuiux1PXNU+W9Ucmlbc6eh1yc+RT6unOm9+203Lp/Xo sLPaxVdZqr3Zt/kHY30l3/bm2B2r4IBwZbryRdTyA4mqav5PqYt8f4/r5l4t kumRpXrUq7jK3v6BIXpL37SO6TmqRK3woi+rRylD5Uv7DpknSD4Lf3a0Rvm1 Day0+DalzsuBcXvjlbXr8EOd0yPV9ZGJi1fvjFZh1dpPWL0pTh09YHnqc997 hokjuszcNDJHJexb2yLURcufsb4Yn/wNz5f8DUz+Bub8DXPehxmP/Bvj6esR YcaDGU9fr8H/m3wbTL4NJt8Gk2+DybfB5Ntg8m0w+TaYfBuMfsw/9IPRD0Y/ GP1g9IPRD0Y/GP1g9IPRj/WAfjD6wegHox+MfjD6wegHox+Mfvr6DvIB6Auj L4y+MPrC6AujL4y+MPrC6AujL4y+5CvQF0ZfGH1h9IXRF0ZfGH1h9IXRF0Zf GH3Jn6AvjL4w+sLoC6MvjL4w+sLoC6MvjL76+hfyOegPoz+M/jD6w+gPoz+M /jD6w+gPoz+M/jD6k29Cfxj9YfSH0R9Gfxj9YfSH0R9Gfxj9YfTX1//I97SM 9sDYA2MPjD0w9sDYA2MPjD0w9sDYA2MPjD367xPq63H07xtg+ks9jjH/S706 8jDyMPIw8tS3Iw8jDyMPI099P/Iw8jDyMPkk8l3kT2HyFeSXyC/AtOvfp0u9 gvF8DnO+hjkfw5xvYc6nMOdLmPMhzP9Xrx/nN1hff6SvD+K8QDxHfpb4VJ+v Jf/N89bfDyT+gfXv3+X7E0bWxzd6e/TxDu2sJ5j1BLOeYNYTzHqCWU8w60mv D/EELN9bNdqD/+b56r8vyvsGnjfrkffRxM+8/+X7ibxP5nuA1JPo622QJ17n fTr98QeMTzyMvrTze4xPPQSMPVJPbvx96oVgfh9/ijzxPfcHeZ6c//GvMO2c 32mHGY/38/w/OH/jv2Hs4f088rxv5zyKf4DlPqPxPCn3GY2sv69IO0w7z1vu SxqZdv4/1AP5za/zen/9VOGPp/5o92PLNOHxwxJ+GW6VIYw89QEw3/8csr++ Se36WdK/0E/2h0s2zRY+6LbC/lmLHOH+a84VSmiTK/x8SZpXUKc8YY95poN9 u+YL93DqX+Roz6fCGZMXH93R95nwlrEnh6y0ey5sPTSx6JwhL4TjB1T3Hj+q QHhN7z7DbCe81Oq/us4v1mXKK+HI9kePN3N8LbykZfTwWnPeCH/auFKJkgve vvN8+L4pzPdNmW/Eu7RTPwfjX5k/fG+U+Uc8xHmTejsYf8x6o/6O9QLTjr+W ei8ds34ZX7/eYNnPjPKw3j/Qn/kHsz8iDyPP/KQ/8xNm/0QeRp75SX/mp/g7 434r+S4jI8/8pT/zF2Z/Rh5GnvlNf+Y3zH6OPIw885/+zH+Y/R95GHnWB/1Z HzDxAvIw8qwf+rN+YOIL5GHkWV/0Z33BxCPIw8iz/ujP+tPvV+wffF+W/ULy h8Z4Q+ptuI9klKd+FD5gCCg67FSuyHMfCXm5n2Tsb+K8pr7b1xoPs+jXPfBF nshzPwl5ua/E94Fjy48vtlPjCtvuLVHW2n0l4k/Wn76+i/gGJr6AiS/Yz4kX 0I/9nt+T+6ZGlvumRpb7pkYmvpZ8oLEeTvK9xuct9VBGpj6Y5098yPOF+T3s ob4S/0R9Jc+H/W/gngvfP1+ZoL5PvrK9lul38r0A7KFekHgDRh/0Yz7g38gH oA/+mviA/Rj9iE9g/fcMsJfnA/P7zC/8I/sF8S6Mf2V/QV/2B+IdmOfFfoI8 8SLt1GejL/8Pnhf68XvErzwf5NGf8wXM/MTf8/v67yt8qEf8c/WI/9e/H/F/ pb7xj75X8b76Qn39oL4+8H31f8zncnUej9jbJ0ENPRgw0Otv6vc+fB/j3+v7 GP/o9y/eV1/4vu9j6OsP/+rvZeCv8c/6+it9veP76hHfV2+or7/8o/vs+nzl 31tP+Ge/t6GvP3xffdm/uj5R/30J/ftV/X1/fT2i19rVg23/pr6dfJDTpE/G VrJK/NP1iH/2+xX67wvo6xX13yPAPyL/v12v+Ge/j/K++sa/uh7xQ33hh/rC D/WFH+oL/1X1hX91veCfrefT1+f9o/Vz+vqjfpVrjI/Pj5T864fvL334/tLf fn+J/V7/vvTvref7d/u+0j9aX/hX1w/q6wX1923037vS1xPK9/8ODzu3NN/J 8K+uJ/wPrdVdVg== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdw1kUQh/fSMTG9vwFSfBMTBIEQQAlWrKjBoAQNSEwsaJSgomJBrIRv 6ujYe69j73639y7KWMYyYxkdHR0dHf3t7JOZfHjmf7e3e7e3t7vv2zI81r8u x8z+ELliPzFfdIlLxWWiQxwgFogZolgUiEJxsFgoZjLPYZ9VYlBUo5tY20Hk I1sm+kSRWCkGRLk4QiwXJaJS7ChKYQp7lPF1X2pFBbp1fKugFN1DxFKRN8ne 1xpFDXtMEw3IpvPNiItEN3EYRa9VrBUnimb0ajl/DPs2sQuxTMR1BnHIxw+/ z5BYI+rRK2A9h5gWEPuZxHYp8lzsS4lRH/GYsCnmjOXc1+d7iz1Ep9hX9Io5 xL4KvQruUsPeVcR0Ir6+tlWMi7nMM8RrEJ0q7pRh3kDcpk6K7zTi2YJ8jLi6 fASdDDFuY74If9vxr5G9dxO7iqxF3nYwHmfeTowquV8Ob5ELHlvPjd3FLGwP FEt4wyz7t/NGXezRSwxcvljM5myPcTdx9hrqQe5287H1Mxdy7izukMWvBfg1 G5+y3LuXsy62yMse/FqEvBs/OrDNMvZz9uSs44hvk0UueW0Ucc8l+Oiyw5Dv Y5Erc/B9/0k+HsQ9hsQwe3q+eQ17LZcw99wrY+zyTeJYi5z3tT50/buM8eGM 3YdzmPv4UPzLY+42hej2Y+t33YhOIfd03SPxzXXOF6stetRRFj3IffN8HcQ3 z+MBdMoZ+z3Ow6actUF0z+UM338NcWlifRV7buQOefiygn1Wo1PN9xj069mr Dhu/Sy7xG2I9g46f5fnmOb8z8xHWV+B3OTLPg2ZxPGPXPcmir7n8AtaamHsd eg16na63qFW3O4H1zdg3s8fJYidxijjVos69LrwHzUM+yj6jzF1noi94T1iH vJXz17LnevyY6Atj2PXzBh7/Ddi4/unYtCHbwPgsxq5ztEVOVCM7Ex2vA8+/ IvY4DX+8Fs+2qH9/q028xTCx87h5jXqtdhKDM7ijx+ZCzu1Gr5NYbiaGPcg7 uOMI8nbeN8see7HPSu7g/g8w9/HN4k+L979SdKWo6XJ9H7foHzeK34nfO+Jq /OmQzjX6XuLnppj7+HU/M4WP0/V9jbdtTWHvtm+Lqyzy8F3xCb6+LGpS9KkW fdtSxMj3mJpin2yKNZffLz606JEvibcseuKdwpuxx/sVzvOznhRVKfrf854X KfKtKcXZi1l/wkKnWePtFjrPikyKN3lElKbIg3tFQYp3q9X3aYt+WKnxFRb9 t0zjRy1y6in0XOdukZvibV23LoX+m+Jyi77v34oU48d4G3+X6hR39vuWaPyw RS57jW8hR17kDvPIi3HiMEWyBy1qaC5yz51bxd/kSr507rGo2wdEUYo8zdH3 Lov6d7ut7PmfuMOi91wr3rDotf+I2yx62C/iOose95e4xaJXbuc93E//v3mT Ra98SBSnqKvfxA0Wvf568atF/X0jvrX47flZ/GTx37NBdo0p6tDf7RmLt/te fGfxv/Uj8R6557nwHD68YJHHHsOvxVcW/39/ED9a/LZ9IN636FlbiLvH4WNx n0VOfiG+tPjt3CY+taiv+hT15uPPxau8g9ffNuS3i38t+sdn6LnO/80m2uo= "]], Polygon[CompressedData[" 1:eJwt1GVol1EUx/F75+xCUQwUcfsrbjJzdnegosNGRYeKE50dmzNQEPuF3d3d gZ2goIKtCHZ3d3x/3PPiw3nunu3ZvSduyeRBSalRzrlOiMYFxHnnphAroTjP B4mVUReXsQnlUBMFeb+XWAF1cBu37H195OP9LmJ51MAp/EZ3ZOAEvqID0nEa /9ALY/EQU1EVTXASP9AFY/AM01ANzXAcn9AOaXiD6aiOljiG92iN0ZiFvOxx JDGCOSjDerIiziCKdR/iOMxAdtapxBjMRC7WQ4mxmIfZqI1GKMS7fcSKqIWr 9j8jlp+NuGS5Uc6OYgHq2Z7PIjPfSCGOxzlcsb+dgO9Yga7ojBu4ae/1vXt4 ZLmLR26+tYM4AsPxFI9RFk0t10/sWTn/ZjlXrjviNV4iAS2QxYc9aS/94XzI mXKVbLk8TKziQk5jWccgjueJ+GM1V617IJMPZ9ZZ++IF7qMxmuOBnSnefnbH cq5cN8QvrLJvdcNHLEES2uILltlZ2uMv1theeyIr/38zcSAGIKcPNVethyCa 9QY7az8Xeu+V5UI9qNk570LvaIaysd5OHGbf9KzX2dl64x0WoQ1audCrpfmd SVb/CM+lfMiVcvjThRnKsJpvsT1rr+rJbcjBerALPbnTaq5aq8cXW06UC83I UsuJcqEZXO5CT6mXNGPr7cw6a4rV/q0Ls5RgvfPchdlTD622nCqXmuGVVhPV QjO/1nKgs2umruEIEtEACy0nyoVmdC6u2zv1zAcXZjzNcpbHhxnU7KmnP7tw p6RbzfeggA93le6o3cjvwyzqTtqPwj70jma0KM93Xbj7RuEAivlwt+kOnO/C jKo2qpFmvYgPv6uZv+jCHaO7RTN8CCV8uDsTrTZbXegl1eg/amOjSQ== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHmYlmUVxuc5bmlp+76aaYuAkhuCyCICRrIvggoOiKyyiTggIoszDgyC gIgCDjCKAq64hFpGablmGpntWWpZGaiVa+jl/evc3/XNH/d1vvd9tvs855z7 vDOHjp46cErU1NTcVWpq9pF9R/Zd4VjhDaGt0F7Y7XfdhdeEV4V2QkvJtXcK /xXaCEcLI4TvCH2EU7z2OKG3cKLQ0eOdhJOEHh4/XjjV9gThNM9lXk+/6+B9 WddZGCb08t59hS5CV+FnQjehvzDAv+E/0BZeg2w5f7At5w+x5cyhtpzxXZ95 snCGz4TjcFt8Ot3jXbymg32eK0wSJgtn2gf2q23FcYz5wWu03/H8c6GfMEo4 x79Zc5b34MxzvQ4/JpjfcJ85wmeO9Tj+nWeLfxM9d0Qrfux9vu3ZQp0wThgv TGvF5QJzhft0v6v1mtMdkxl+x7yLfR68Znod3GeZH7wusuW8Cz3O2Gyfj39z bNnraWGkMEW4xD7A/T5hi7BVuEm4WlgjXOq5U4UF9gfui8wVn+Z7nLG1wmJh iXCZx+HeYH5wv9wW7gu93wyvqzP3JbZwr/cerG/yO+5mqS35coUtPq00V/Ze ZQvf5cI8+7TCvJl3pd/x3Ghe8LjK6/DjWo8t9r002I/VHq/3ndV7bJfPWiZc 47mNjhN5RC3+wnfLvOvsD3780uuahY3mDccW88a/DZ7D2HrfC+uv9zh+b7YP cLzRFo6bvN8Kx3yNOW61xdcbvAfrt/kdsb3Zdp1wiy3nbzdX9r7TFr7P2I/b hDvMm3m3+/0G77HEPtzldfhxb8lchOP37A9+3O1xON5jy9it5sJd7vBc1o/3 fVPn99tPfCJnqYVRxjS/Q7PRcjQdbUen0esH7DPnoOFHCUeW1DDqF315VthZ Usd/L/ykpKb9UXi4pD7/WvhRSR3/jfDjkjr+B+GnJXX8T8IjJbX7z8JjPof1 aCcauqdkv+lWqv2gh89Gq7vbP3ya4vN6eOy3woMl+wTo6fVwRat7mcdpfu7g dz3NqY95dLbfPP9FeLyknlMD5BX59jvhIe/xnPCo1z1VUq9HlmpfGVSqfWVw qfaeSi/CDijVfjPEvIb5ubfjPMwxQVvPMj+0uqLv6N4k+8C74T4H/URn6Rvo 8yiPoZ0TSlXrJ5vfWK+BE5pd63jw3N98x3iMe+lrXpW+MtZcydFx5j7Bz0P9 jnlPluzT/cx3kjn195lwrdTedj+jq+Q0ukBNrDdXdHRmqfaPSj+Z5TG4otsz zH2mn9FIdGO5edV5PXeB7qK/5Np8z8WH2Z5X6UM8T/H4PPNb4DXwXejnir43 +Ww0dlGp9o8G86r32A9KatMt9qHBYxO91xxzbfT6So9Z7LEmP9f5XWOp9pWl 5orfy3wvi8yVZzSs2TGZ6/PwZ4Xvq9IbVntftLTSE7BrvB9au8r+rPYzd7HS e8FrrdfDZaPPZqzF8ceHdZ7X5JivM49NXsN+13sN593gZ/ZCo283X7TzRp+H Xm411y0eq/TXlaXaPxir9R1NL9Wesc1cbnWMmn3ObaXaS5j3fc+92Vy3mxN3 sdlcK/1ss3nTD+gble9Lagh9RVvRRfQYzUX/0B70FC1FU9Es6pJvebQb7fxV yb4Ft7+X7MfwRafRTfTybyX7N3mBtqH1aCc1+nxJDaBmX/a7Z7xXs/d7qWTu 8D32YkkNRA//VVITXxD+UbLe2Qud7+65//T8vSX/Dtndag3z6RvoLBqLxqO/ aC/9h76Cfn9Bf8ycH+nTV2VnRfaqA2UvivTnYNlFkXvtL8sfQNzp52QnRt5x o+xRkbpfL9s28l73k50Uee/fkl0Yefdfk50d2efaRK5hPj0EbUWbGaNf0uvg RF+kFy3R3I8IT+j3B2UviZx3hOzcSP8+JDs/0s9vyF4aeR8Hyc6J3Iu4/bWk Dh2gd9Mj47rLcZ3n8ac9h3i+4jhwT4f5ri6QPTQy/vh0uP0in7iPrr7rRxwL 9tjjfTraz07Gw6X6d9qjzk/i80XHaJrslyPjOU72s5F5PUb208IPS/r6TfvL fXzddzJadqTwFncse4bwpn4Pkx0kvF4ynp93TInVkVHl8Vgrn56wXy/7Xsht 6op11Bp1ixZTx+gB31v3OWefct5u8zhj1P0DXkPt7fR+e31XxwjvlaxPcp2a 51uQ7z40YIeft/gcvhmpIWqBmjjROdTRZ/OOnt7P3Omf1NmTfkedPOR1N3m/ HfaNOFS+lx703JecN9Ry6M5qhW/r9yGyDZFa8wHZmZF12Fl2rfC2fq+QPT5y fY3s0MhvzatkO0TqxBrZjpH6sVT2lEgN4HuUb1C+P4dHrmftctlTI/N3meyx kfnONy3/j4Bbs959NNLnfWQ/HnnPCyJrnnqfF1lL1NHrPov9i96dGfl9vEH2 Y5Fx/bf3b+d4/a9kTjZxH5G1xPh/zIEcHOE83O3YEv/KN3cb7/Gex1Zrbq/I +14p2zOyVt/1HM561s/8HqDxT0Ty2iTbPTIn3vJdwKFPZMz4fY1s70iN/lJk vRHjT8oOjOS9x3kJ31GRd9He/PY6Vwfr3dmRfxv0lT0vch31d45rcKNs18j6 of6GuAZbZHs4vp+KrG18IT4nO0bnyu4b6etlkXlGjl0cqYnoITnS4n26RJ7H Wetkr4u8126R9/KC7wNe+HJcZN6QM5fLfjiyR1b+1qLXto+MPXE/OjKfyKWv RGoi9cO6xV5LrK50vMjNK5yf6yP9xMdjInOFPCEOVzsWxHyV405evOk8bGfe bZ1TbzumUyM1HT0fG5nf3NtnInVzp/d4w/5Ojuxt9LUZkbVKnU6I7GH0r7rI /kHvuDCyR/6/30fWKnVKTMY7Lp0i65aabRfZIx93Pr/jPDkhsv53ubaIPzlz kt5dG/kN8j4lwqFL "]], Polygon[CompressedData[" 1:eJwl0/tPzmEYx/Hvfc0/oLEccsghOT1PSkRzqPlF5NCoJRs1NcY0ljHGGMtq Wi1jHfhXQs6ZKVEiKoXEmJphfuB97fPDe3vV8z3e9/VNLqssOGpRFGXTJDrM HzPodoiiXvIfk+gOfkUH8TS6hXtoO95G3/B3qsJz6S5+TafxArqP+2kK3kE/ 8DjV4QzqxB/oPE6lh/gdncUp9AC/pQacSV34IzXjbHqBX9IxPJvacR+dxPPo Hn5DV/Fqeo4/0UJ8xnRtf8aLeAk9wgO0BxdTGv5FhbiIfgb9rwTvNf22gvJx Dg3jr/SPdpreNUb78T7Tsb9ps1+bnuLPtBVvoPf4C+X5sfQMj1EiPmBa+zaq wTHqwEOUYHoGv7efs9G0R743fs3Jpnv4tf2em0z38GuP0G68i+JB71iKy0zP mh60d1NpImgPc03v4M/u73wdr6FuPErrcSv9xRmUha+Z1t6PmYUrTXvlMzYT HzHNms/gfHzKNDu+h0vxJRoM2qPF+IJpr3xmkvEJ0177DFbjZfQ46JxF+Jxp tnym1uIm07P6DM3Bx02z6zO0HF82ra1fYxVuNM2ez1A6vmJaO5/hOK6lJ0F7 shLXm2bbZ7YAr6M/QWs4HR8yfWv+Td3EN0x762vWgreY1t7PqcDlprX0b+4/ doeIcQ== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHfclsUR/Hh3pQSNjSICQUAlYEGMCWrsHRFUFCyoKCiIhWoBBSQgYixp tmhMYjTS0dCLIh2DVOkdpCkB/SQEpKozmfl+8Mf+dp977u65u52Zvfet2bpj sw6FoqKijaWKigK+exYVfYngFNjFsH/i5YewpogHwI+A3Yp4MPxo2E2IB8KP hDVDPAh+FKwJ4hdhnyC+Hv59+H/BAvEc+IWwFoiHwI+BXYa4Cmw/4qvgq8EO Ib4Q/nzYPsS3ww+FHwu7jouF/YD4Tvhh8ONg1yCuDvse8V3ww+HHww7CJsAm w+bBZsE+hU2DfQT7GDbdflJBa+ceboCVCo2b6XGMp3g8/VTYv+0532x7ztcK Y++BzUBcCM3B/c89Yr4pXttE2HzPy/kW2HO+ozA2YZ/5OxO97ivQVhV2APGl 8LVhpWGfH/GdMqHzXgpbXtC7RbByobZVsBVuWwz7Ddp7w5YUZPO9lmXOW8n4 uT7L1Z6b738Smm8dbIPfrYG1Rvt6+E1+Xua1/DTUdyNsrdu4lmfR3jfU9lBo rs2w4xAfC/vCuCI2idF2iNvCvkL8DWwb7D+wXX4utrFtO+y/sK/9brH3wX12 xBwdYDsKwjmxTEx3RdwF9i3iHvBPhOY+E74ybA/iS8yZDwp63unvkDvEPjlA vpBD5BL5Qt4M9Jq2wr6EHY328rCVBXGEPBvstRd7zcQ28U7cV3H+iaGq5g3x Uc08IE6qmyvEd5H5NMljiL/JHjPVzxwzzc8l3OAz+TDdY4nr2X5XwodZhcN8 KOHXbD/PNGbm+HuzCoc5MM/v+oTwVzYOc4B5IfYXeK45xuBCj1nk53nO5SKP WeLn0sbyAo8h9pZ6zHI/LzLu+Ezsr/DY8sbgCo8hnld5zBo/c8xaP3/qb89z P2J+nftt8HNf45n9+4WwfkyIIxvdnxjf7DFnIK4QwsaJ8MfDthTEi02ekxpI XaQ+XoD4l7CKIUxtN3bIj+3G2DbjiByoh/YT3JfYL/YYviN+d7rvLj9v8Xyc o4t5UOx+xP3ugvixx/2Jq0PGFLmy1334/L3x1R/tzxmXxOQBj/tZSLuJl5Nd H/ietYB1Y4jHE9vEZE3rH3NdK1RvmPMa1vGZ7ksOsD/rXME1qWeI25VgZ4fm KtHcNNa5zhdc19Y7x6t9HjwXnmF9vD/dHP55SOOY11+EuE1en+6cEzcN4U/y uaw05oi3OiE9JR6ah/SIWtAtpDs8315eL3NwDnxd6+NBn9cE54TnvttrPN65 /sI4I8YawJ9lLSM+KlhLmQdqykSv63SvmWfJ3DAvPL8aPlue9yk+z/QZMhfU L65/kHNOPWLeWJtqOUfMW21zlbXp1BDneH514jAv6pob5/l8Nxpf1Dtiilg+ w/vg+Z0WyhP3Xc973+p+JXut6P1W9jnsNUbONSYrmlPsw+//ymtg34buTx2+ PA6f2ZWhdREvxA3vMaxf5zhHzGEDn/lvQ/XjvYLi50O1hNpKzeX9oZHbWPNu CdUP1ifOy3sS685Fjvf5PK4OnffNodrDesN6dGOoJnG+Rh7L+sSaynrKuW9x /8ahdvYnfusb2/u95wke19hr22X+k/vkNNdPrg3wt/kd1jyuZ4A91zfCe23i /RIj14b4Oshr4jiuvan7815ErqbxUsaYIdaa+3zawz8Vqumsp7eFeDTUOkIN uSMUj3Ubn8eYp/eFuMpxLdzOukvN5RwtQ/E4t7X0PKzRd7ud2sF6SS1pE9L6 Eu1ubWyTK/eGeDDc44d5XCuP5Xxs552WWs37Cu8kD4fqwWbPf795Qby2Nc63 O95h384x+VHOHHkgNJ5re9B9OEf30DNjtrX3WH7zYfenf8Txo27f7P218XqK vW6ueYPH8wx2uJ1rnOE9E/udvEe+Zw47Oabusfb8D/FjofsZ53wyhL3vED8d esd2vn/c/fnMscX2Xd0+xPgYbPxyLmpn59BcJXe/np6fa3gmpL/s28392dbL c1Izuvvcurid/KDG8Z7BO8YKxyvNR3KfHOQdiHch9qXv4z7EIu8M1GEa7xNr 7NlOXeeZdT7inPu6nfvq4fWzbz+3vxT6zUO+Uk+oV/vczpj1bp/5TC5zjdQp 6hU1u6zXeYnbuY/eXj/XXMnf3eU5+C1yfQvstFQtOQ7+2NQcJ8OPCGlMbcSj QjVtMOKBqfMeA78zpMfjEH8X0uOnEX8U0oa3icMUX86HL5PaXy/4SSG9OBFx hdQe3oB/L6T3fRBPMTdeQvxpqBa9hnhJqG58BiuVvm/BV0rlpxv8hFA9fB7x zJB2/gCbG6oDS2Fvprg6D1ZI1ZXx8HPcpx/i6aE6dgXiy1L6eBD2sffYBW2d UhrxiffGfU323v5/l/YeuP6/MS+pvL0NvzzE7aneM/c7y+vmmt+HXxvi0jTm N3WXmeH1cW3zYb9P1dgVsL+mNGIh7E+pWvsu/OoQh3ne242bxxGPC90jHkU8 JnS/YH3/dajGv4P2VSFd4RkXh855sfPBXLwFvyykYf+AvZKq94tgf0jdnd+F vZ66HwwyboiZNcRyijMnwA8P/Z7+M+y2VL1Yj3hvCMsbYUNC97bXYU1StfI1 xNelatOp8JtD97A/ptbE9bwCuyBVK19FfEmqtg7mmlLcfANxs1T9mgy/P3QX +Qb2fYizHVL8IXf+AmubqjVvIr4rVafeQnxfqh4R++WM/yfgt4bubUch/tbn 3BfxtlAtfQ7xjlB9eBnx16F72DOIvwrd28iV0im+HEN8pXKWqf1wL7cjvjVV j2+BvzF1t2gKf32q9hM7C0L4aYT46lSdfwT+wVTduxv+jlQdpn5Qm6hL6+AH pPS9HXybVA1uDX9PqpYTg5+HcHgh+Zq696yE/T1Vt3rA90zV4PLEdeq3VFn4 oalvBfUnpO2Xcq+pe88k+N2hOx0xMiqFk9HMbapmHDJ/yJ0itM02xl9N4ZKY fCeka3Wdb97nqLsvoO3F1F2EOXk2lRfm7Xep3E0M6Q41Z6y5RB6NN8fIL+aw fyqPPIOGPodWKdwQMzyze31u96cwRPxQb6it1Bz+R/hk6q5PvPROYYb6fVJK w4mRp1I4OY+akfrfbkQKH8QG83ytcz0ypPvU/BqcO3WfZv4fMgYuSvGH3KmP +OzUf37tUxwg/hsgPjd1d6ReXpXSzCvhh6XuF9TLx1KaWRl+SKqWEZs3G5/V 4Kum/pskph4wrpjzi533rtSK1N2MGLncOCHvq6e4T+y3MP5rwddM/W/XOKUX 1Ip6zHnqv8+j4Sek7vHXpDSC+rCJOU5hgrWxis/qzpROUaPIj5bmyL6QdhBH dYiR1G+S/uYO6/CZaDsr9Tthj3FMDFMbOqb0gWfW2efGvR4I7Zd1jLWKdYo8 vsFcJhc/NB+J/ZHG/8uwoaHfGjeldJOaOTpU41nfP0hxjPxqntJBauCPA6wX Aw== "]], Polygon[CompressedData[" 1:eJwtlXnQl1MYhn/9zhOVMpWoKClttH0tWkhE67RQTUKadknpEy1Cg+QzMu3G Fq0oY/naS1GMrTK2Uche/MUMgzDtrnvu88c1z/2cc973PedZzttwTOngKcVC oVAGAX+mQuFj6AiXwHpYB62gLVRh0T7sZdAFvoVVjJVi74Rb0RNgOHobLz6C fRF/GvY+OAWnoTocYv4jbDmU5LEia1/C/lL0Hm7Hnxh+1wj89+F1aANVYSe8 Cq2hIvRhbV+4Dr2BZ/7CPod/G3YWHIcTee0+5v/Grg7v/V74J59ZZ20JS+Ao tIOCzgLPsn489meer4OuDWvQ3Ribhr47/O6R+Me0DrrmdwxgbiAMQm9kzSHs YagDnWAQc9eH54bg/wT/5r3ck2O1MuemJMdiBTTNMVkLW3n+AewR3tEf3S8c C31zMHpI+N2bGBuGvhGG4m/Gv0E6PDc0x/Z5aJhj/Bosh4vhKriFtSNgGHoL z/yKPQnt4SD+KOZGhuduYuwC9AJsXbha78VfqHG4Bt7An69zsf5y7Nn4FaE5 +gr4Hl5QjJNrajx6HGwtuuZeUR2Fc6F3TEJPDtfOdvwt2Cn4F2IrwH/JOeiU a3wbzGC+gWoRpqLvCufyPZ5vjV6Mrg+9YC9UC++tg/KCXoStBz201+TG0txh nq+M3gXz8DvDaPSYcGx0hk3ozTAb/zzVJHoHNkEj2IFfNRwb1dTn8AR+C2xN 2A9P4Z+LrQVPow9gx8FYeCa8J+1FYyvCNa1anoxdh/8yzFRsGFsbrkHVnsbW hHtavTxVtRHuIfXOxOTYtGWsd45R+3APqXf6wDL8r/PaCYo7fsdwrvoq/zAL /6J85grhHlbv6s75Mp9JZ1EPtkOXwOmiv7kcfTD5LJPgU+2JsUuxNXKvzMMf nXvmccUKqiWPqbZ+wE5PrrFy7S3cS9Nzb/2Yc6Me+xDmM9ZMtQrvQhl+E2yV 5FxXUs6Lzvnb8DB+Y2xl2KjeDMdaOd8Z7iH1zpzku/W7HGvdsW/pu+FaOBNm o2vAGehR8Cb69+S79ZHk3r0/PKce1tqa4d7VM4p953AtKgddVFvhXJTjz0Rv z72gnJSq13LvqEeaqF6xJ4ruqfq6u7DH8M/XM+o1OI7fHb8uul6497VGc43C va81vdG9YH3Rd7juigaRn03OdYdwLSnnLdBtwr14Cv9BxTrHRjHW3dKMsWuT 75imqoVwb55Uv2ldeK86w0Po3ehKyXfcXPx3cq6U099yjubkNa3Ce9C3eyqm 6LPC/0b14Fe55lXr+gd111lhQHJNXInuGo51P8YWoT/JtXoOPIn/RXIvq8eX 4n+W3Ouq6ebhM+ksOuNj6A+S/426g3vo7OG7S9/8I9eIakM1/6jmcq2qhrup NsJ7UQ4WoPfk2tYdrLutZfisuuO+yT2nXrsj+d+9Mqz1Dx+Ovjn8b9E/4n9C o/dh "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXec1cUVxR+wM0+XtixNwIAQQIzGmEQEUQJKFMGCLWIvYC+IBUwsMTbE EhNNjCbRRLFXjA01KihFBEHARQVclC6ylKx0RHK+3vM+yx9nZ97M/O7cuXPr bMchlx8/rH6hUDhDfxqoXZUKhQuFC4R5ZYXCUmGJMEeoFr4QZgkLhPnCmVrX X/hY/bPVDhBme26Zvz9LY0ekuu+We+5z015suis8N1f4SvhSqMyFwkK1VcJn XrtI+NQt62b7e2hP8/esP0d7DkzB+3R/w9zLotlG+ED919W+IYzWunFq2wpT NT5Uvx8RjhLe1djbwh3qPyc8L3Ryy+8fC301P0b4lfqrhQXCzy0XZIEsZ7rl 3Gdo7vAUYzM8xvnmaWy+0D0FrROFCRr/yPOc4TSN/TrF2P/U7ifs7+/med8G QoXQVKjvtkkKedUIqyxf2m+EonjPwkr1y7Sumb9PQqV/1zONxsIOrWuktqHw e+EGoaWQheb+5iZhclnwv409PP+d+ruk+F0wPWiVa/9dhfIUd/ew72+xsEg4 ULhFmKLv3xOuUv9YYV/hc+EE4TjhW6FWOB455JBNT86ifpmwnnsROgj7CJ8I ewg/FU4XDktxJwvVVvsubk+hFxOFg9Q/QOgh3JZCj94XTlW/Xwpdq6d9CkIf /T7Ya+HhZOGQFHqKTr1jvfqP2leEUSns6J+2pZncs7A3e6Jfws88NkP4ic/B edpjY+5zrleEV4XOwm7+3RoZikY74UPxMErtbcJF8Kn2MO5A/V5qDxG+xna8 H3sNEe4RDhXOE270vcPXtebtJc6Twi44710+M/xB60ecH3maZivOVSwUNqs/ Qvgsxd2ix+hzSb/n+S4e1Ppzc6zlvLMtnyc09qTwB+Sn9kDhGvWvVHurMBgd 0j7d1T/f+38o7OXzTTedDzzH+J1aO0C4xHKd5TV34DOEi1PY1u5CO+ErjS0S HlB/uNrHhd+oP0HteOFO9d9XOzGHXLCRm1PYyaca+0z4i35Xqf1EuM/zrJti PcMG0P/nNf8iZ9PvF9TulmMNv2+xXtLe6m9PSiEbdBI9RnehN8p6jH4/LRqt c/DzlNpncuyP/o/2GvaGnwmmMcp7YTvwjv18rO9mCn9O4a/uTeGzsJE/2U4+ 0vyMHL+n4o+FP6aIF39PETMma2yScDd3pXZaDv2bVBY8cY7R5g99nqf5z4W/ 6vcCtV8I96Mjaufk4IOYxf0Qt/DDzOOLK6yb3GUz6yu/8VMtUvi1QdZ3/P/Y FPbU2esq/N1/hbbCnsI4oY3QNUWsaGW7wGYrTXMPty1MA9+ND8Y3rteZNgjX uo/fxY6x5y7CdmKAUFsWvhkfXfL39U0Lf7vO6/DDa/27vfkt+Xf2xN//NkUc YL9K88raWsdn4vRDKXw0PuofKXwW97XR8YS4Ao/Eh0aWAW1jy4a2ic+dLeNK 7599B00tD2JLuWXX2n3otjONppYdNIgrD1qHuN8t4mO1sEbYZL6If9dp7nHh W/XHqH1MOFp4UngihQ98Rnha6Ojxp4RjLJ9HLSPaMf52jMfxmcP97SDzPNb8 M/asx58wXWi+nMJvdnY71v1W1puWHnvJ+rPVZ+IubzCtcq/t5PXEUvSlofWA 828uC73YaHmgL+jXRs/VWF7cFd+W4nPButU4R5w+xrJGt9DBkh53ML2V1oOx 5reV73WrdRBdY78tzgsYg1bynbFuTgp/Syz7l3BkinxgrvO86dbRgnnlPJyz dL76qe589XyG1d5zs3UAu/retrHdPKzx/lss323+vdg5GLnaeOtftxQy2+z9 J1p3iR3EE+yGeLHOtKFFfMFfEPuWmN486+Ym38Ui30ON72+3nXS/teVZsqWS bbXxuibmra3ljdxLcqUtyb7MerHc/gMZLLVv4NxL3K7x2deYp2Veu873vMH3 8Dvbxre++42eI1fgvqpMn7POL6vL45EpcQRfTnwpxQxiBH6fmEH+QOwkn+ib IrfC5xMHiEXEJGIc8Y6YRjy6V2v6Kd5fniKXJl5NtrzJ72Z674/8u5Sjf2y+ pnuOWEKcIK4Rj4lzxLK/pYglxI5lPlOpLoLGrLK6PJu8mxqFWoV6hLoCeVDb VHvsE6+b6/2pfeb6++WmDY1GOfJ1fE7pnkr3ttT3Qy7/pe9htWW92DRmmY8a 78fcCtOu9t0u856lu2ePF1PUPNhzFXaY6vLnKvepBTalOp9EH1+KbmxMdb6T Pn7yIvG5l+7oixT5+Qa1v8SvoLsp6htybXJ2cmjyevJ78kzWbvf6bV7PODkf ueRg06ndaT10fpGiNtjg/jDyVvGwNEWO1Md6dR15Yo6a4ky17YuRax5DrVSM HPco9Ruo/wI01W+k/pvqH0serf5r6p+tfsdiyOtGy6iled9gXqhLqFV6+JzU DKU6g7aXZfe97etirb0gx7fkxeTH+/l8B/hc1C49PXetv8VOkc0Wy6fWfECH GmBlitr3MuGbFO8A3M2aFLn31SnqW3LzS4WaFPXXv7nPFPUB9Rqy7O12mfvk diuEU4QK8d4sh+8lTlU4Vq3V3JIUtR73gJ1zF5eq3Ucy/Mrn2GE5XOc+5ztR a5pqzTumsdh0ulsW+/ustdaZrdab46xnWy3DWutNaew760+THGPQgY+1po9s vvQ+Cz3HOHk/fgefU+05xheZt96+n2qPH+y53jut62naC03/dGq3YtR+p5Lz F6OGOVn9lupPTuGn8Ff4sgeoQYtx3/gp/BW+CX+KX8XHcSeX+17wa/g3/CH+ Fz+MD3wrx1sJufZj1hX8D3aMbWPLI1PUSeRLh5oefp98hzqJnOelHHULNclz OWoM6ovXctTAo3y/6Dq6Wj9HLY2uks+R182yD0RP8Z/o3T3WvaPc4lvRZd5w WMfbTB+/z5DDnJtC9+CJOhZ7RNd5+0Kfj/Vv+uS15Lf4TOrmN107E4dO9hnJ g8mH8eOHa357jnwReuebzsMaeyiHvMqt/yXdR3/R/+tT6DS8wUOpDr5Za65w LTnC49DsmqNWR/6MXe315J9X+C7uocYShqnfLUedj09enqIexOedpLFK6cl7 3C+6lOPtiVrwJteDvYtR08LD7Wqvshz3VHtQDnvElniHwY52+C45G+9tY3PE 5SvNH3kq31/v8xIriBk3mPeR5r+fvtuWI1+nFr/L9fgOy4p90cNHrTc1lhHy GUgtmIMeb3uv5sgxTrHOc4fUzc+6dn7avHW0Lg9znzu81DQ532XWkbmO0+gb 56ywT8NXNM3hZ7pLbgcUw5/2VNujGO+sLX1Wcjlssr91+5oc7xTsiUyIF9wX b4rzfb+9NH+QsC7FGw81IfUgeR+5KbnfBPe7me4R1mG+G5Lj2xFqDymGDXCf fYtxJ+P9PTXs++538/cDrOettPYU5KbfW3LoInqIjm+1npOvk7eT22CH2Cc2 u5b9c7zxERe4D3zGdPsdfM4Qj1U5P8OvzXSOdrhlxjp81gznUAO9V3PxNjgH 7xvVbsrhC2rx4TnqiQ1q1+eIXcvULs/x7sBZ3/PZyeUnWq5vpIjtyLmr6Hcp xrsjOULnYug+cqf+JxfvprELc9zbW/6ed4BJKfw08lyo+eocuSQ1wQfe89MU ORVvktRV5FjUVm+bPryR296XQ4+rvIb1U02H+uJ+zR+Zw+bwH9gw9ru32kty xJZ91b8sR8yE/js78cnZqWV215ozcrxHTvQc/E9xnzUdtOasHHXbu6YFn200 flqONz/0l3yiu2XE+wg1SyetOSfHucdZVl3cjjM/6Dn5VGfL4G2Pv+451pMT Xe+8aInaxTneA/BH2Cu2Qzypbx9OrkXeRZwlFyMHJYciH0u2X+y4bKd+E+dq Bccm6Aw2XXKWFmqb58jBG+bw9dRt+LaG7pf2YP9yr/uhps6R21NXrXQeTw7f zHTwLXxP3KAuZC2xEJtivrHXsD9+iRoAe25s+g3MPzkMuUwTn6vM/qqB+W7u b8lByEuQz1CN3Z3DD56HzuaIN/DQYqfvWpgf7B3eyBPwK1c7XuBvRubwOZX+ hvW15gl+8K8X+M44O351V8tmF9Oc5jwGn9FYNE/IYWf4kr6epxbgbvrYJvay fUGDeAEdcpmh7pOnwNcg3xV3hty+Vn9Fjreu1WprcryBTbedYbvkisdZ177R /Koc7/jDTY94h68p5SktfB7OXoFd5rAb3pl5M2hv3e9iGznB8oA+b+TInphP HVywHj7qs/3wfxzRPDpH3faK7Ya3g/G2S3xVUWsG5Xh/ekTtjhzxpp7G++d4 AyvHt+Wws+9z5BDEI/wAPqCd7bGrbRo/RC2Iv6JefMFn/z+8nbck "]], Polygon[CompressedData[" 1:eJwtlnf4T2UYxr/J+5y0915mtpDRJDukjCIrRNnKRaUkSYXIKEShIaFCWihC ZlGSVEgiI7s0SOtzX7c/Ptfvfs45v/N9x30/583frkej7nlyudxMyAuFslyu CHybcrmG8G7kcu/Bk+gVPFAbneP+VOppUJw6L/UMdEFoR/0g3I0+CFdxrzLs Qd8DJbiXUc9GF4IL0S25thq9Ciajq8IN6NugP/qBY+/rCIV5vhJ14+QxdkRf wbUN6I2wl7oQtEW/CIPQvaEDujMMRNfg+Tz8barx8bcA9Xp0KahM3Rkaocvp GvoU7s9DF4Fu1KWot6K3QRfq4tSb0T9AQjfg2tvoWRCZ10hro2vHUxfTb6Lf gr/RteB19BQ4qvnAIdZ6MvUe9M9wE/oFrTF6d1i3gR3on6AOehz8o/lBg+R3 HkTvh7roCVAAvT387J3JYxkNPZPHdDLjK0ldGD0XTqVuQj0f/VHy3tehnp7s gTzU9cNzeRNOoL5VnpF34Azq26kXoRfCmdSlNcfkaydRNwr/1hw4LfOaa631 m/kye0Ze0TvHoYdAF/T9sDO8JlqL8fAx+mJohh4Ck9AT4WF0XziE/h0moevD MvQKGIauBr9o7lAPPRFuRB+GV9C72JNqygJ0on4VGofnoLHLI59RfwEj0NXh Q/TC8FiqQs3wnmuv88EI9AIYfOx+X/R1vO9QsgfbUl9OvS7Zo+O198oEuor2 EH0J99eg18Id1GdTL9HcoGl4D7T2i6FVOHPK2ufQgvo86hXoT5OzcyDsFWVo EXopDNVawMvol6Af+tFkLwwOZ0ue+B6dH1qjx+g30JdCi+Q1+Qp9GbREj1KG NT9ohX5OmQ97Tl5bAEs0P2iePIatYQ/Lu8/DGvS68LtqJHv91/DeyfPKxq6w N5SRr9HfhX+rJmxAbw6PtZYyjN4WfndtuDnscXlbPe6WcMaVbfUwZXNfuNco o/XQz8K9yZlqGM6EsvB+sherh7MtT8pb8pS8JI+V59k/tMZ6NzyCLpq5t+2D ftQlMvea/fAY9YBwr1yKPytl7pnqleq516OPy9yr80MZ6rMye6GoMhTeU+2l euSj6NKZe9sBeUxjgybJPVnZPT3z3ijDV1Kfm9lrxeAv6iPhrPTRnoYzq6ze l9ybnoL2yT2qvPyQ2bsloY/WHnqj90JZ9AWZvVkcyinfmb1bAh7S+lEf1dzg P+p/w9mSR1eHM6ksDtf/8+xK6meUZ5iGnhpeuwHUU8IZU7b6a348/1pY74CZ 6FkwEL2c/3kHPTus9Y2coV4Iy/L6mbnoeTAIvZJr88M9QVlX5uXtVeGxyePT 0W+Ex6J3KCvr5ankzHwa7lnqVZqDet1ieDq55ylrX8LI5MxtCntc3h6dnLWN Ya3MfRLOuLKtd3wTzoiyod9cG86YsqV3zkF/ED4LaE69wj1WvVV7WpD16kDd S+9K3puHw2cJ7VEV6p7hb+8RuFr+gcPJPe0G7o8N39M19cKK4b1VT6yAvibz 2UJnguXUZal3Jvfw38J7rL1Vjy+D7sG17eoF8EQ4Y8qWevgw6grUu9Hd4M/w N0LfBmVQvWwLjE3uaeqtzeSX5B47JpxRZVNzLpY5o8rmJqiY+Qyks49+Y2jY 4/J2V3k+c+aUtS1wLXpCODs6A6i3t9aeJvf4izJnQlnQmWlU+BsiP/VIXouR Ya01US+qG86eetLwcE9QL+iuPVcWwlrf1B/DPVC9T3PWWe6u8Fi13jp7ac20 VjqDXZo5k8qixqizw4mZe53OEO3DnpAXlGl9a5pzbWXyN+f8zD1EvUPX9K1r Iw8mf/PyZ+4R6g26prNW1/Ba6cx1Tuaepl6mPdFZsFN47XUm1Fmte3jvdWbT 2e/xcBZ1BvwfuGlvZg== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0ulWTWEcwOGdRFKIlCg5GaLlQnx2CV1AfegqEJWhaCRU5gbJkDFTJWSe yVCGUqkMyfDsdT486/ff7957nXedd0fyCjbmxwRBcIL1hHMcc0gimcWkk0mE Qo4T7+HDOluPhO9okc7Vo5qgxzRRt+q8mOjvJGmTztdtep/HPOIQd7hBivut ukhPhvvQm5qh7bpMT4f70h7N0jO6XM/qK1aYO/QBD9lJH9nWVxJhNau4Zf0c a8079C5drHPdrS95wVLX6Ww37+IZz8m1VqpL9JSmapumaYku1BZdoM3hf6vF eptGnvCUe1xnlvsNOlPrw3PRaxqrB8Oz0gM6Q68G0cPbL3+p4x+d/GEfv9nL NFeYopaf1PCLy/ygmkmq+M4lJqjkGxWMc5Ex9jDCbka5QC/lnKeMHPtbwxbz MF/5zBBf2MwgH3nPAB/YxFve8Zp+3vCJDUH0u/0P7+Fi3Q== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{300, 299, 303, 605, 596, 597, 595, 599, 598, 512, 601, 602, 600, 604, 603, 513, 607, 608, 606, 610, 609, 514, 587, 666, 573, 594, 533, 592, 532, 593, 511, 302, 301, 300}], Line[CompressedData[" 1:eJwl0llTjQEAgOHvtKm0SDPZUp3KUrIrxFApynCacd9NK9I5yk7HviROtmyj Y+uayJbwC1z3f3pmunhm3h/whjtjx6KhIAgmiYgG/rMkJQhG2cwIm7hPPvfY yB1quEset9nATaq5RS43qOIa67lODldZxzBribOYK6zhEpVcJpuLVHCeci6Q xTnCnKGMs2QyRCmnKWGQRcRYzQDFRMngFKs4yUr6SecEK+hjOcdJo5tldFHE BEnesI9CUumhlwjtNPCe/RyhgLdsoY0mPtDIUZbyjq0cppmPHOAh23jAdhK0 8IgdjFHLYw7ylDqesJNnHOI5uxhnNy9o5RX1vGQPr9nLnEc+M8UXvjLNN77z g5/8YobfzPKHv/zjE0kSxBmgI7Tw4TzE7EAe "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VsVGEUgNFHgQAJ7g7F3d3dtbhDcWtxdy1WHNoCLQkOBYK3WHEJsIQE trjDEoqdCYuT77935k0y8+aFR0ZHRGUIgiCdmIxBcCAsCI5nCoJCFCYXuTnh tU2kOmfnMi/NP0lz/qHbqOtcj1rUoTZb7WtoTapSnWpssa+sVahAJSqy2T5c y1CS0pQi1r6YFqcIZ8xF9ayW0FdaTs9pWT2v5fW1RukFnaoXNVrf6By9pLM1 RefqW52vqTov9F11gb7TpXpNl+h1XabvdaXe0BV6U1fpJ12jt3W13tG1+jn0 W+p93agPNFa/aWbNSQ4emgM9qPH6VOP0mSboIU3S55qoL3S/HtYwfaLfueC8 X0/ziBTzY/3LH75w1e6rFtQCbGA9SXanuEuM+Z6u01v6mw9cMX/U/JqPNOfl mqgnyeuch8UsYp9dcug6Fpqv6i/SQ+83z2QW05jBdJJpSzta0YbWof8lWUP3 gmxkoRENaEh9mtCY7T6/mTanKS1pwQ77DtqR9nSmEzvtu2o3utCD7uyy76W9 6UkfItht30/705eBDCDOfrAOYRDDGEq8/QgdyXAiGUWC/Rgdy2jGM4499hN1 EhOYwmT2hu6p5/YkyZwIPcMc4yhHOMwhDob9f87/AUwagMI= "]], Line[CompressedData[" 1:eJwl0DtOglEQgNHBn1BoaWPLikxcggvQpeALKMQCUFELxUe0cgMWCGIiiQpi QkFhIYJQeojFlzNzp7vZ9c21jVRErGo5iRgsRAz1pW9NNNOK25k+1ddUd+mI E9Y10b39lx+qmU/n97n2NC91pbpudK2ZW0+35hoTnutCx+p6O+Q7jzhmlW8s 85UV/vCAHe7zhSWOmOIDF7mkjKr2Ip+ZZ5sFVrjHFnfY5C7L3OYjc2xwi0/J /7/9AchMN+U= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1217, 1216, 1364, 1557, 1699, 1599, 1698, 1600, 1700, 1648, 1853, 1649, 1666, 1665, 1559, 1704, 1705, 1703, 1707, 1706, 1560, 1709, 1710, 1708, 1712, 1711, 1561, 1714, 1715, 1713, 1717, 1716, 1562, 1719, 1720, 1718, 1722, 1721, 1563, 1667, 1860, 1668, 1650, 1855, 1687, 1854, 1558, 1593, 1691, 1690, 1702, 1701, 1840, 1510, 1366, 1220, 1219, 1218, 1217}], Line[CompressedData[" 1:eJwl08dyzlEYwOETvhSiixI1X9QgSFkJM3qLGj26C4iFcgf6jG6RGfU6dBG9 RXQiSIhoIToJnv9YPPObOTPnnM37xtesLSpJCCFUUBULoZLCxBAGJIXwiUY+ 8JEG+vOO99Tzljf0o47X1PKKl2Tyghqqec4z4lTxlEc84TEZPOAhd7nPPfpS yR1ucZsK+nCDm1zlOtfozXnKOUsZ5+jFac5wnJOc4BS72cuE5BD2aI5e1Etc 4AqXyXX+Rb/yme98I8/5Jt3MeH4wjlEM5Ce/OMghChjE7+hPDnOE9Yz11jrd wkSamUwTkxjNYP7wl6McY2P0p7sbdCvbmEpwNkUTdIzuYic7mMZ2StnPdPZR yAGyaOneDG2hMzWmQzRJZ2miztZkHaqtdI6m6FxtrcO0jRZpqs7Ttpqt7XW+ ttMF2kGHayddqB11kXbWEdpFF2uaLtGuOlK7a7F206WarjnaU5dpD10ezYHm RvOjK6J50ZXRnGmexnVVNI+6WjM1X7PtRgZppNBsXxqpi/3fn3+mBmqF "]], Line[{1592, 1330, 1334, 1338, 1339, 1340, 1341, 1509, 1647, 1839, 1646, 1837, 1645, 1838, 1663, 1836, 1644, 1834, 1643, 1835, 1662, 1833, 1641, 1831, 1640, 1832, 1661, 1686, 1637, 1827, 1636, 1688, 1657, 1676, 1635, 1656, 1634, 1851, 1850, 1589, 1849, 1655, 1664, 1847, 1848, 1844, 1846, 1845, 1677, 1591, 1829, 1830, 1828, 1638, 1659, 1858, 1658, 1598, 1590, 1852, 1660, 1639, 1642, 1592}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak0VdsfB3AhGsgT/UuDMQ3SoAhd+SIZekQIlSRdNEhRFLoyvSSJSPWk QURCNJmletGgnlDdc1xTppPpnpunIsV/v7fX2uusz9r7/H577/XbW83zkIOX uJiYWDnp/35bwuav0RkdhNBrnrZbwjdseToaOrxYiPGO6+xv1Fd0Jt5Wuucq xN2Jz9mPlL8iO4NTaBwjxIFXnQ12AcPYef5CReYDIeJ5znv96/+BW2XG7r4W ITqOrDb6tO4ffK+1VpQRZ7FX7VBRSfkQLCtkRiMWsrBV8vB23TCEbmHEHfuN LKZYyYxo1X8Bo0TfPMFlcV/1gGUe9wuqrnWYTItkkSkbOO79S4SIshNvfl1l saTcIWYoVYSiFVnUt0IWi+L0pPxdRLh3eey1+l8sXD26jiv+TwT/bQnqUe9Z hDVkxYfns0h7x9+h1M3CUfzthwerSd63Bl96hlmsefs67Hy5EAl1rlJB31l8 /tuzSOa2ELUvhpInRlnMd4qNuXFBCA71/ErUTxYRK549tokQomVZnIr4BIv8 dM+l8n5CSGwazDUlTnA+oLrIVwiGp6cVQZwxp8mJs1+IdENu6hPiKrWbNfZ7 hSi2/Lq5nfhMW9O5HT5CiP3XRPD+r5F81bp8OWLdRvd1/l5CHJ6ZladCLLx+ e8EJrhDPiyY5gfjgXIF4kqcQkXF2w+7EdaPmmrc9hKh7lRAfRnzrDzr6sbsQ x3ucpUoniRBpsXp77u9C5BdWPxaJizDh+rKlwECIJIeyYk1JEWqPzWyr1RTC qU1hyGWyCObBXcsnZgpRSFctq5QRgf93bBeTNogBLQ+jBwoi7NEa0HXUGkR1 ykNpzlwRsqLvNMwqH4BRb7//VlUROjv2eUnbDaBHitolsUiEsZJcZ/GefiiY fbvxdrkI6Q6DboU2/QjYtFHuli6Jx1WMSCztA+19ov7sOhHUz4z9Wq/dhztW 0rNPQ4TbiwvO78zsxcWSZKXUDSKETmu1T1PrRcIOGeUaCxH64kYr7mZ8Rp/+ AYliaxF+TS/6vPQng7W652TGNokwRdWp9q0bg76soLArxKe6EoelqntgsCKm Md1KhLxdZescdHvQkMarmL1RhG/mF2PX3elGrfILVWkTEZx5SyRcFnVDIVpW OcRQBJmUXB/r2114XPY0m0v2k6fPud/0oxPbxebbeCqLUJMTs1TTtRPMZFXL C+T83myxK9lV1YFHlKaGoYhFdmOxUdPKDsjZzDjHecaijkryH739CcfzpeSD Elh8Oj0vdY3WJ3w2nyhZ6cri8vr4l7IP2tFoIrG1RoaF8yrZUycWt6Oep65u Qup4sG7f9qm2bWCGAryWkTrxiaoe+eLeijlNXOtZU4R4VDLNkhfVAvd5vdKx 2YNI+FKVfaG0GbHnlqjKbRhExZbg9xyxZuRYFF7RFgzggoa2WryzAG5mvZb3 HQYQbBbbXJvchICH16aH1/SjQMrq+yWGxjerKuMY/X6k7FN6Em9PwyMtYvKd rD6E549sPPCWwtr8bL8yxT58CA4wldlJIa13YW9wZC+mf+wr9R7no+FE0dQ/ RZ/xW5/+8tOFfPz5VnlwxprPKHA6WhnoyUdcnrpN0HEGuxzGJYeX85Fp3K7S 8rQHdpHRw4fk+Wh+LXTR/K0HU0zL4sKm8xF8W2rSFG43jijM7/gwlw/V8Mqi OY+74JiezbMw5iM5yFrvlXIXNJaNsQ+P8tEf9cLxq0cnXpdXrNRo4EMyZ7fY 0bsdcKw8u+OxNYXOB+aVQdIdMHksuTGWpkC/maEj5vsJeTaTT/FO0rAQM44c ELTj26W2i+GGTVi0N+WvEed2cJNbdN0mC3B0vyGbVNqGJk+1qLJ2AXq9jQ9p F7TipF2L457RZtAZ/RP9T1pQMm5f7avait1HV7WMDDQj/sddR86WNmiadKV4 6TTDxzB2xcUN7YjvFkysPyuAeHlrfHNrO3iu6dyksSZcWH2r1Pb4J+wPKTML 5zVBtSxp44hsB+6zRYdMJjehfNv+BWH5HRAIZ391uk5DLj50yV7zTli8iDPW dqWRQ3NbrUo6MdnlZt6juTQGIyyEAwu74Mm9JM92U9BaZBr3K7YLOaXRtX0l FF6nxGU6MF3Y4tjoUpdEYbaAKzZo1I1NYrEXPgZQ8EtMpdkz3fixWPONjSuF zOS5eqn13ZjYrJaRYEbm/3DyNZHvgZPu0QVrVlLwWL1gsMS+B722RWV+qhS+ HpUNCDndA3eFxuAbsyh49V//tri0B9Vl8ysMZ1AI91q4xruzB2wZbVU5lYKk GfXiozQD6prs4UppCmdWza5UXMxAfdJp+yZir2afhfdNGXAV0jY8IfMLNI5k rnVlsOlJd0GqLAWFt4J1E74MdMbsMkdmUuDtW3tfyGMQH+V+I1GJQn/0QuVz cQzYTB1WQ42C4OrIVeeLDOQP6i3jLaWgO8QPv3+NQXl+9pDfagocl3tJ45kM ZFQWvWzgUMj7oRQYl8Ng4Op2g+VWFOo/jv00zGcQU8Cuf+9E4ZJKuNGkAgbv 8nOqr+ym8L+Nkq/NiYc5gmwPPwoGz8VTnO8y2OatJC8dSuHW0tD64DwG4ZfL dIJjyD17aB/YTeJrXeQuyUqm8KC91qkmi8Ge6lsLIq5TaPb2YUwyyPq2PY0R y6WQvHbp04DrDNwiX5ouKKUQKAh1c0xl4DyysiaxhsImn1czp6cwqBr74ufc SOGUr2BVcQKDWeG8Ud82CokZBy8fPMPgbNNI8Yc+CuYOr3cZ/8FgzuF9A8lf KTy9pTNPL5yc31gC8iYo5AwE9W8LZXB1feDOhVNpCNKKzO4HkXjvcjPEZ9I4 8+thtGkAg2u3Rj/ZkvqrUZSLmurHwFh+j36BBo15Jp05OvsY7NRnN9tq0wjN mhp4l8vgsfV6dT1dMi55j8/zYHBMzcjnCIfG8bmKdWnkvU/qZPcpmtF4NW1F sfQ2Bg+7F37RsKIR0/0srmwrg7zLY/VPNtOIe/POUsmBQYfSFSbPiUbgaZv+ hs0M7rldMB3dRkPn1e+y7b8zuPFK5dIjdxrp1erRhtYMGke+2Yk8aZhY88Mo CwZB6b1JRd40QvRdkovMGZyZMqVlaD+NYJ1PG+zMGGjWcSpS/Wg8z7RrNTRh 8DL2Af+pP4knpazia0zqRS7EJ/go+X96YEezEYPEYougd0E0eMw2uWgOg9wU UzHxYBrldzQnsI7BgbOvNFtDaPim3jyvbcigM0X+nv8JGnrfLXLNDBhE2z5J eMGjMVB1RfuEPoNHC8IUe8No2O12bGxcyyCq4U26fTjZr3/mQXFisdyHCj4R NLreK0p46DGIqBbcMY6koZBWv6BDl8Hyg4lR3cQrrt29GE6sUfv3n95RNKzK vsjpEW/feND/NbHX9WXXf6xhYH+sraaL2NX2+5p+4jCD0wq/iHX3p480E+8t lDypEE3DcU/nxzri9aE3Viwh3nm8uuQv4q3xGeYc4snelmdKiF0KC+Y5EZ9c u+dnDrGnWYLRfmIt8/eSV4mflSv9wyPeVWB57Py/+UOKIxOIi4Qu2jHEJ3fu MnhI/DE0NNufOH6T7uk64n7JVZm7iTfPXPa+k9jvsHPlVuLwrv6BIeLS1QMd NsRv0kIWjxOHmKjZWhAPl1UVTP2DxtLQ6FgQn3tRoiJPfMz+lDaHmFNnNjiL WCI/fIcBsUTTzylKxIfHVWLXEo9f1LOZSxwwHFCrR3yl4ojVPGKuhbv+v/4/ fuPyMQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Qk01F0fB3DUU6ksSbQvLyV5kH0pvpUlS0+SEkL2VJaS9NBKpVBJlBJa bG89JR6ylUqyRTVmMDOWZ+z/+Q/GJMzI9v6f955zzz2fc8+995zv/d1zN3gF 7/eVEBMTa6T6v6P6DYugnN5xZNaIqbnGj+OR0JmXTI4j4nR477OgcVyRLr3h ICmET8rdsLT0MVyNcbSMVhFiVC7JIrZtFOsPZNRtNRdCbGLmkLzyKDo/3XBw dRVC7Y2k+nTMT3Q38U44nBaioMni+inhCHoNQj0VYoTg9LkY0E+MoHrB04tZ aUKEeW75mdD/AxVH9aXE84XYK98ypH30B7oULzirVgqxv8qywnxIgEU6cZd3 fBcigCc2ZJMigO6lytH3rULoZw0sKLQW4GQAj5nZJ8QqT0unz+PDGPHu2Tsy LES+wcflp92HEREnE5UzIURGov+9HV/4uJ3zh9S6SSES47/e8S3gY7uPWsfd KSF4zKVLMlL5uPiU+UNiRoiBUWNSdI2PqLpI2+BZIT7N8Af9gvnI++USnUh5 BU3h9KZAPlS6c4qLKY/seKbff5wP75v+nDbK/HXRBtn+fFQw+gRDlKc+79kd fZQPsf83Efz+3/iYNdyyWI5y2xAj2tKXj7gZwTJlyvFP7xZt8uFj4nqxshXl m4JcXcKTDy95gWoAZdNzcwQ5R/hwy0vZeIey7eprXH83PiIbaINj4iIkyY2V zFryEc+tFx2aI0KvwAq5W/kQN3hvXTRXBEMNcl/oSj48yFaO7DwR3HZFV9rP 5UOvsaa3W1qElD9ZO9RODuG+s9O7BYoieJn4Gv/WOYiRAIf8qLUiKKcb1uU7 DKKXv1TBfqMIGswba+bVD8D4l6xFqJoIN25vsm21GMDEN+PqcB0RuoofCR9G 8ZBSHX94wkiEOVOtZXerSTRnWJaMmooQUcEZdFpC4uez+qrAXSIcH7g0G+vF RaERcvzMRVimnGlGKyUQWSP/rotytdn6EaYCgbqNpaHLzUTwnH+TnWDSD622 bOE5aj+XLukYlaA+aMztlltmIIKWm4vXZE4vfr3Kuz/0uwiq1x6PX+b1IOvs fhfZ9SJIuM/PMtbrwf1leaYxsiJIxS+LL77ejU1rijR8qXqAkisroasL2lXH 5lRwhJi3c62O1Uwn5q8WqEy8pepbpkYzeXMnHh64Z4tEIXwrv9yy+vAPktM3 LqnzFSJz4OJSZ4sOqOkbl3/XEWLD5bZEse421HslN8VPjyPOIFNvNrEVg5bi r6wqx6EbHSGp6cKGYNxxrljYOByVVI8fFDDhEt4/eEppHMz//v1b79MWROvP 7tzQMAZRO+fV2sBm3Cg5sObuyTEIErdO++5rApkm7mK1ZAxb7vV46tgw0LVO Qb06dxSMe7knFJzp6Ai274i1HkXS8jqJgnONyBPOWqnX/0SW47urr6NpUPLY 89zO5icqqpvWVh/8juCohc9La0agibG3txq+otbd5ICy+Qhe1eovHA9sABlR oGL08QeWJC08EqdfjzCObHrC9h+Y2DoWpqz0BdELaJuLSwXYK6m8q3NrHbKS taKUDAUQP2qmr+RWiw0iMv/kNB97Zp9mN7jU4JNy8URf4hA6Ih4/a71VjQ0W KT1OeoM40tDQNSWowtxhqSn5Hh4ccr9mfLlUhZtDDDGpdBJOWQv9nutXwWnU R5zrx4V13Lp3hXJV2J5lHCVlSkAs/UFjzpIqmOVLHc1T6oedT19drVYVygaS dJV6enG+z3rodVQV/Iaq6EeLe/BBh5d1TKwaOosZgUufUHWxNc3Z6EU1nNp8 9O6mdiHDuk5z+FINtA1Xd2i/7ESKy41zVZG1eDKR53MklQN2vVGpaV4dSkOH /E/M+Qd+HJc1cxbXI7DGX7Eprh3+m6slyu81ID0iYF4qpxUar/U139d8Q5ys b5msFxtTdlKz3Kc0uB4blquUYWHIeujM3bl0iFb0nXTqa8Fy/9Gq9FgG9A84 KiVwmhGsd7GmQasZCdtI2p7JJkgy7QsLx1tQ+X0i85ZeE9Zef2j2romFuseK dRFxDIxlp6Vtqm7FA4uIUK9fdMg9OPB41+d2fLyrmPv2Eh03O9ZHvKn5BysX bi5XWUHHyGKPU4E+ncg1z9U+/bkRUQazE4oeXZha/1vI/UuNKAuK73dz6MYz TcXMN1aN+M1mf5Huth6cWWmzeP3aRjRwrFKUl/Wiand45d4ZGiQeSEa7cHpB iu0juwkaND4YXfjrQR9kUsR9M9g0aH69uTpuRz9o9YscIug0bGRceyVq6UcT K9U0pJGG0JcqN/1cCahqSPZosWj4jwpLMm+MQBHPNSmrm4ZbW71Z7U5c0LUq eD8FNFx8MPmr7xUXF0btu2IlqLpfbn9AZZwLvY7L0wMKjQivdlKd1CYRvmFx x3P1Ruwq58u+9iURc9F01teyESELhveejycRH3mK8c2jEQef/Np9JZ/Eq2CX sbTzjbC//yO4roHEQpkfYr2PG3FHX3l4dT+JnOSXalepvAqLEunmIhJrfBV3 avGo9WXHVMLn8kDLjrn5QpaOUxdkBioW8ZA4vaKs1ICOvZtFvVPSPCyo9JLX OkKHk+e4dw/laNMuaV40Hc/TmCkyi3lIerNd5nMuHQ/qPCPE5/OwV9rOWqyd jmd3LlYozpIQGh6P3CDJQMapFAXHMRIJaXSTRfoMkLY1+/7DI7FcuyAhy4uB gBfNId86SMzptLBtv83AZxxLSKWR+GVnY5texsBs5b2pik8kRP+dnW7vY+DE o5NfjhWSUPR4A7mlTbBddPJUUyaJoITn4Q/RhHb1N29+JZHwvZPTf/REEzqP vbovvErCJtjJKfR+Ez5ve9bXGUrl6zo4WfSxCTbVXw7V+pBY+k/GFlVeE1Yl xbm9O0DlOfrNrEquGSZPdtbXmpM4/PkKrXxnM24nsZSWUvclUTJ88EJwM8by DwemrCMhFfa9ZeZRM5gy6qbHpEj0DXKSTWuaUdj+p/KNSS720J6LG/9oxjr1 ANkZkosDfUXRwytasM9uMpvG4qIgLrxykV0Lzu6Sr1X5xIXdTbmV9MgWvJN4 pGH8kovFMgV7LP9uQUaBeZB0Mhflr3NjgzpbcO3PMN3nUVzEbevRdljMxKbg mIdSwVxkTcymzOgxMcYvcDZx5cI8SElikTcTxz2zPV/u5sI7INXd/hY1f3jJ r426XPgUZN7gFjLxutXpfc4GLiw6TbRJNhPz92cMqstycbvFLTZwiokYF/34 glkCUQoBxnLrWOheGXVlkk9gxMS3TA4spIUYGbhzCHiGTexKdGUh/aB7WyON QNB5PduSsyzsvlVeZ1tJoG1jq2r2HRbEd/UUfCwisFn5xbqQfBZkfFylZbIJ TLI84g2/sfD897PTBskEBofoGl4EC6bRD1nysQR6ttW02k+zoHXp4dZLFwnU fjXK95ZlI365Zbx9KAF+wvbswfVszFX0EPM/QWCT8h33bZps7PugMfjYm5ov ietL2sZGsW+1Riv1nnmW+28ZWrLhG9RsPeFI4ItQkutux8bBSDO9bnsCzNQO HeNDbLwpO3nk/B8EVEaOMcbd2FgV+e1xvjWBGdvmhrfebDzIzlkTZEnggnmH zV/+bLx9Uar+xIwAff7LlT0BbHCYoWqGOwl8LynfOyeYDWvz1U1iOwhU2x8P HT1JrS/4wOmh/g2PofeRZSFsBGns3sIxIWDpSlvlHMpGxDzzEsF2AgWF/qmM M2y09WYXKlAufnvoqddZNkQpntFbt1H5Rh9xqfuTjdX52rs9jQkYherWLYpg w7AktjzbiDpfbUWc+jk2tiTO65sxJCA+npFfe56NTUb7PWUpN/iafNtwkcor RIG924BArPMhZ7NLbHSMwu2xPoF46QID/cts3Huqw1lC+clTzS7xSDZ+D3Re 8UiPuv+jR6bWR7ERYpAZ9lOXQLahcscPypkB2i7hlO99NO+OucLGCr5r4HrK Z9j7z4gov12m8jdHh0Dy1Kp2q6tsSNoGJORR1v1w7Y8rlDl1yfa3Kd86IX/4 NuXmsc3M65SFNpKPH1CePOfIiKT8x073zc8oX1W5v/08ZdO4LXP/ojzODFl0 lrKA9t60gHLYjreGIZQh7xZfTbn7A/r9KC8lHI+2UHbzskx1+3e/2ld+PZR3 yDpOH6TsvWmVLJ/yGdf2d3aUVZFbLKRcqXNmqQ3lQIN5Z2Yph8ucjbGg/D+m 8rg4 "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFVXk01d37lSFDRZKUoUR5oxKVIrFlipQylDFTkTEhszKUEMUrM5nJNStD SIoyVebxFZXo3su996OolOJ3v3/9zlpn7XXWOWc/ez3n7OfZaeduaM/KwsKy wJz/w5W9E1xMUOOqmLumm+IPHdONrznKV8G3XuBRTbUfbEtCdqVoryCquu1z 1RFvrBn3Prf48A+Ofen5cbLfA2TJGv8365bhMfBz7rfTVQQeXpmUiP2FHvFt 97hMnOHqdFq6v+cnhGWM/ih7OGCbrEpWtuwP8ClNTNBuX8K82vjaYtIiLgT0 Gt/Wt8VWyw1UsflvCLNjHLqaaoV7NUqWhy2+gv9UbbZxowVyfprK3txAIL16 TN5H2wzfyWcKt7XPwe3vlV7ZPhPER1C/OQhQcDZVzUNrnQmcVY56LE1MY/q0 i7K+pgnaRVkkhLZMIUd6m9UhG1PcexLb4mX+AXyml9s0rMzh8ve2Zej+cSwv 3I/WM7qIDo5FTbfYEfy117XkqrZBVtSRBgW3QVxo/ZF80e0SRAOvmqaz9sM+ kZ91Q5QDHiTlP4tv7cGDhkrhKR9nJEl1ZnCxv4WDlO6hQGd3aGTKpinUdSC+ Y1Mw+4AnyBlEQ0zPa1CkOFZ4m30QusHCeceJVrAv5QoergjEl+S4Etc1L/Ht p2Q0dSEErBEOCjYFzaiqrfi8W/wWVOZVRWq8mjDJ1iEznhGOYyGqAp3OjbCi J4t0eUdioyEqXkfUYx+Xx4Dd02hYrg3i5+6ow126dN6yVyz6BI+LSEjX4sqv V4rcE/9CseT60peeavhGSzWqcycgI+aIes69J7j73IXjY1ASVNfMjZNtHoN1 /pjkiFoq1P8yjJx0qiDjGLwsaZ2Bu392WcyqV+K6WljtxFQWvpisxBrtrICK WOyOcPMcbJ6MtGzsLoOa6oVbvz/nYrx4kap+rxR7tkudiojLh+quE6UyliXY cvfvUYFLhXATbZJ+dqwYXN6jwzVWRfh680xdqWAx5syiw+fzizBY8k/Jh3kS xH8+m/82V4S1y+G5xm9JeLbUL9x8iIQRrVLldUUkzPJ0cJoEkaDy/MRnt3wS fk9X1OTfIqFWoEO+L5uEyIxlz8W7JOxwlvpH4SEJX13l1bTjSTgfEKl3JZ2E 9PyRYiKRhLTU/43/R6nBn0LvkknwSqvpVmfeO3O2v5kliYT44McRNCavjbSf nSOTZ3Dw/poTTB2XfBeKe++TECznFZ1cQYJ7wt5UpWgSOkNnds/XknAn6NRV nyskqEk+3T/KUgwfunHyggYJcd6+X+P0ilG2dLWmUpyEOl7lENHkYqjrf3Uq +1uExxM/GEGfi8Em7a6v+98jtMpkHa9OKYPXz+1KBh2FWDAT4nujU4mJrthy elsBNBc/uVCoVTj8wOms4VA+bIrmFYsfP0FgsLtm07c8/EPSHdxVWIMJ7efl Tep5GF3nOqp+uQ4kaQWjzRm52JCho2apUY/1G1qe263k4Gn3+jfQasQmBfkj +k452GesplPv0oRX5QuBwe+zkZOqwxrztBlvHR2Tc02yEX514J/aLS8RM9Ea MzCRhYDHRtly+1rgG6//NHlLFgpn1iZGnGvF58vLW4+ZZWJfbsa9nbdfIWBO I9K+4CF2sBQombe/Bs+Gjwfaf2fgPpfi7RDhdui/MbeeVM6Acqub5YeXHZh8 15yyFJkOG/ZJ47MhXfj15kBv0qc0jLrlSf84/xaRMVr5KlppaL/UPt2t3g3R Lo+93k9SwSh7mGYo2YtXUQffduxNBef7688i5fpgofch2DMuBT9eWlfX3+8H g1gfocqWApFsoXr+vwNQ7dGwsLmVjBXzqTKvgCHE/soO27QxGUsHAgcCOUYw PkMPSSpKgqgBTTksYxRVz3NHDp9OAq1263CWyn+wCq7fPbuUiJl1274JMsbR u9jw/ElFIjLNnRVt8icQYj4vQXZPRJ9lqMz8xQ9w6DyR+kkxEXmS2935Yz5i 3fFcNS6eRFzjkbizx/ETIp86C3dMJSBI5FURcWIKKtzH1yW1JGBzPAdVautn XNrUVB6VmYCGOJfGWf1psMRflwmNSICnevjLet8Z5JY2+3rfSECw2EV2mtkX CHNOKssHJEB1yvWbohwZhDvHkCBzP6UlynvwFxmK23kN48MTcDXihaVqLQWy Te1PJB4k4LlYSd9xeyoKrLIlzhYkYOug6NvBtbP4T9t4e0ljAsy40gRPpM+C 9Z1B2eBQArwKMqsoEnMQrpwOPrWSAP24/NsvXs9Bm/13ncq+RLROLx/fZ0xD XHocbZ11IoQ93F/RemhYtCbOSiclYtkn6+/wMTq0xLW+iPUlIpWzpr8piY6H 9FurYXzMfKtnO9nN0KE2FL/AYpCEtwGHSU57GOinZ+44k5iErGsK3BdsGQhd ub8xk5aEcvFgy8vpDBRUHe92PJmMc6/32AZ1MWDLOMBtVZAMlbNWprfnGTDf cztLZW0K9otvVxXiI1D/Y+DvgFMKWvayC977h4CV3XfiZ08KROcCM9iUCbix v++NVExFO4/IM4dTBIR4ZXnc8lLREjuk7neBgMDJuOG4jWkYqS59M2xN4Ppw nvJMcBqsM5ob2K4QsKFuPGj9NQ17hMwsHF0J9GglLJ/zS8fJlQN1U9cITP33 R1OENQM9T+4/7fUi4OlPR8P9DLzoI83c8WbGzxvQ27/9IY4XZCqd9CFAPHAy 9ql8iKdqL6S0mOuXnjkGqVqZ0Nq50FzEPF8dQ/+UPpGJo3vaD/97nUD3l2pX Eb8scEpKfxJi8n/eutjWwpMNSlb8R30PAqqCxP2v5tkwro+t03QnsMPnwHBm aTY8YllJ7G4EuD21KntWs9H2Zcgt2ZlApmSqe5RxDmZMTF6xORJYbd+V3lec gw8ufz7o2xMw0zRrahHJhbJivUSpLVOPxnSWaWwuWtOowR8uEvgofWMhiyMP my4GXaSbEaiIopYX3MyDW3Vn++h5Ajs997P7/mbWsw923XkGBII6PUx2+ufD IOf8m7NnCAzY+33u3VAAqVde2go6zHzceVt3qbAAyRbVzQvqBLSpe0sY6oX4 97qefbQKgT6B/Jd3PhfCaH73lj9HCehU8Ow+EfkI4s5hvloHCcwQE7xZ5kUQ XRAw+CHDfL+d1jEFzL7UipoYR0kCBmG0vBsCxSCCulrTRJh6eVwdzv0uhnZn kXu0AIG/9PoRbUoJLD04FxXXERCZIknwipTB5km/nz8LAWclyWp/s3K4NJj2 6X1nQPq4zI6RvAqsX+LOLaUyINrda6x0oxLevzXDUyYYeB+8W3tCqAp79ykZ lfQzkHzM+bF1XRXzH3PK2bQzoDCbwzlq8RhvHIXHqxsZWN3vNm7J8QQrwxSh RxUMaEc7JS6IV0NfZfNNN6Yf7j1pc95zqgaB5YKnpO4wcOum407t0FrERl5u 73BnIHKk909MWx0uf+iuP23KAJmrZEBOuB78iTcdi8FAFZuXmklQA6pH3j3/ bzcDy9WpFYL0RlQGRoWM8DDQw8dn7+7ahIL7e5n2oyNqVfHFSGwz8ioPOLO1 0TF6sth1+csLcHVeidicTod/rdFpNoEWaGz3VnjnRoezLqe4h14rNk/LT8mr 0kHd7HIhOPYVzh5P6D6zno4XKzLXDk6+hkl0w/dDozQkkjufvb7Qhpgp4bO6 r2kY/M6Q8uttQ98CX6/oYxrk8ngzlPTa4Rl2VLAykwZff0m5X23tKNukOcke TcNMX8COAo0OsPfLbRTzpYEq/OiAT1sHOvqL2sTtaGjNK2wSO9UJr/QAB/Jp GtKl+Ci3uzuxNkY3xesoDVmX+uceGHWhRLZJvmMnDSTbr7IHx7rwr4mSAmUd DQJravdQaG/A93S+yH5yDqsLrhykNe/wwGfta7nKObDF1efd3tKNaY2bys6h c5APTcoKk+nB5JyVp4LhHMSbvucbbu/Fu7Idik+Z9fXUje9i4429SMxO87eY m8V+296Vsgt9aLjIZrS5ehbWSnJC3Iw+9Po+NpS6MYsjte/kDoX2oz1EbGJI exZGFZcWg/kGcC147dYr/LPQXJm5aJQygFVRrmzRCSqm27Tsl6YGYODseV72 BRW/KtxWM/YOov6C3Y1neVQkGCUT+z0HsVybGN4XQYWeSYxLWu0gJM490vB1 pcLMsU16cGkQHpK8RK0BFULyx77UKw/BYaWx3OEIFav2PDvEg4aYunw1+kSo OGow6rpaPwRb5crylTVUTNitdTb6PgSusPDf3ykUFDUezhKWHUa7j558Uy8F ImfkVKTNhpk+KyyTe07BodM2Anlhw3hm9VF0bykF2d9DWaKLhzFvOypWnkYB D/F1eLp3GAGGXNSGKApO00P0a74Po3DbGkNDfwrOt/VtvbF/BNcsHoTL2VDQ pRPifdN2BFKK8gWeOhSU/0pMGf13BM2Bx2S2HKRg+KGDc/nzEYj0cttuEaOA FGA3uJsygqt0lzRXbgr8cp2n43aNQnyNJb8RjYwSDjZlDbNRmMycfujbTwan nD/f88BRzJpyt+m8JCPZ3Je7NG0UbUYdjmVVZHD7b06/UDsKzoTY+Zg8Mu72 HBDj6BlFi1a1YHcSGSli2V+Xp0fRedHczySajEGlG1uDlkbxPvRHL18oGexn cv262MagyVPDyxtIhsu7jXdVeceQkndZ0M+bDHGXfb1fhMbA3/Ws7uQ1MqZu 8W/rEx/D1X3lSz4uZBQytG7ySI9hRnNxA8sVMopuyTpkyY2BRtK9NGFHRlWA wZ30o2MgxkIecluTcYaPlcytOoZOHu2MYAsy/Fnfkxc1xkCRNQ48ZkrGFc0F TQfdMeg2bn6gcJ6MF2wPRa/oj4HNt8jP1ZCMk9cUst8ajYHzq7+L41kyZL6V VpSZjqGn7UJNyWkyzOS3m2y5OAa9k33acqfIePX7RCG/7Ri840/fnD9Jhiab 6wvS5TFUdTZIkrXIOHCnVijIkRlfi4u3UYOM/wNYFIQQ "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1As0VWkbB3AqoqKL0qkJxTiRQielUeMvUeZUZHSZ5kurlEvKLS1Dp5sh HZPQjUqSbhMxdBNOkyR3cj/n7Dc0bnu7JXJLE32v2Wvttddvve9e7/Ps9d/P Ihefn10nKCgoxNB7/Pnm4Mrsgqg6FMXN1tsdNYQ38S4TNsbUQTtVNXv/b0Mo Z5e/+DmjDppts8MsJg1Bpz/8o1d9HcLjF1cdCR5EiumiDSJFKRIPC3rXqwyC HyJ9E6IvRbyhtXVq7AAWpCYoRNtJceBIeWql8QAcKsF/4ClFX1iV0oeyfphe H2lbf0mKL5eGbgqd+3FaPF0xPFuKZq8pxTpDn9A40ugV+o8U3neOOIfGfIK3 j+8RayUZvhUVm6X/+Anvv3vw6K2BDCVTtkgHO/uQdmrLQxMnGRYS1bVmEX1g JJITTSIZLnWZmneZ9WGi28/ZQ7dluL2Wb2fX2gt3obzhdJEMn7baZcVc64Xj /Wa36G4ZytuUIiy29aKg4bKFeK4c2jGVX45M6sXMM127Pazk6PZwuRMa8BG9 /DWbN7nLYdJdWlb9sQcRslzpTxFypE+rKQ3374HzSj8rUZocDk8cOqIVehB4 9Y9AQ0aOkJb02z8c/4A9NjtW2SswcDi8wcp74gfoXEzPUddnMBp2wUp6uRtz Vj3MPb+RATdZV7LZpBt22xsiu9wZ2Gy0mCOr6kKTJh4tjmAwv+O3PPVDXWi/ 4Tyaksrg7+fqJEitC/Z5Dn4PyhgMa0pqVDM7sXfH05z1HQzWxh7Qkx/shPu6 HYHPVQiunGue5Ty7E+b6lecF+gQOEQrgFXagXGSl1mNJkHKTqGgEd2DwwYhI ewdB88jFetG6DvzhJRMOeBIo8/g+CZM7EDWv84cbJwgWWw14tlS3o/uTfzoi CWKPPhS8vt2OBRmjU5XiCYLk9a6FAe14PVPfVOtPApIfM1q0sx2BE0beWacT +AT13a20aMejnhTl0EyC2vX7S7J02mFTnd/2IYcgYCxaa79yO4zUMv+NKCCw Pv3M4K8eDhMlToKpRQSM+zeZQQeH7WdcnU4WE5Sd+9+C7BYOIcXWYraE4NdH JrH7GjmoOZ0bWV9GoJ4l6NZmOGQKN293o7Y5HOd3Tc5hQVXvFTF1p8/AstnU ytohkmTq3lr+oigZB9lXcaGEOuN3/webqSvLxi8C6R3fH6dQH1iiWt1AXR7H yyqUctg8cKKyh/psssj6DPWKOpIzo5xgT9MjXwXqb756lwXUO6tf1InqOOhP dtmyjTr+4hm/4VoOL7ws8hLeEkS4zjaXVXAw1hyu/aeCwHKqcLS0hEO8x7Wk uVUE87b3eNXlc6j5WOxuU01gtJpv1v+Kg5Nli7mCjKBbECASpnDQqC7ao/yO oEdYN6h2jcPR+NYLLo0EBTU/rdM/y+Fa/+FmnSaCi9f2tgUF0PoS3r+2ayFQ GrQzHnaj9Z/dKPyjjeCQ4UKDQEcOq7dFn0ph6X4l741rLTkECyzry6hfrbhv r7aMgyRgnYsydXp514tsLfq996yr9Wsl8Lrw1xfeDA6R9wqa9ZsJvIuyXipM 4vD7293aVQ0EUeGpFSsHWfy4d4WKp5ygMXHG0uZ2FgUij2Qd2t9ZycVFzxtZ bOkKcf2ulMD9WNNjHymLoCDvc8F5NA/vQ3+oqGAh79/X6SchKGk1sb5VwuL4 PrNNKk8IEjUMYp8UsEjw937rcY/gw2jAjWevWfB8/IePxhIUhja9r3/FQiR0 /nYwnIDjldlmUi9nNnz8TURgprpctzOXhZZMj83zIph158q/379hUbPGVtlz L0HaWH+LQSGLETZM45QTXY9LEubS853aeZYmtgRxhltfH6T1Mfwa+RVzgpPz b2l71rLIeRbwOXsJQdc51Fxl6P4EE3GiNu2nfaimjvabo7Ex0k6D9js/pFCl la7b8ExT6P9876o0XKeDRdYp9dMFYwwSL+/tm9bDIsn1TaPNAIPqGw1nj/az MCkr0IjvZDDgvaol+jOLxLydyblNDDIeD610HmWhZ5Mmv8swKB2dJ5EpcnD4 u7ptdTUD8Y7cZgVlmudCdT/fUgZft7alElUOtcdn3bbMZ6D87wJTDzUO0xy/ 7TrykkFe03THnTM5+OtkvnXOZHDIrkqrZTaH+6o5tj2PGfAqAgM1eBw+CAcf zPqLwa1l/PW98zlcaBMFSpJovRMHdINpXqTLHDPIPQZ2L4U7y3Vo3jSuJJxM ZODP05Ps16Xnf0tenRnPwPNzflPi9xw+B49s87/OIKKl1u4Sn8N32yYduxlL 56nWrzOsDTikvXsoXnKFQdAXx7nPDTkIV2562nqR9rPP/tQMIw5RmkYVfdEM Lt0qObx6KQcjdk6XbRSdt1y44iqa56HAkTrpeQb6bk67phtzsL07JI+j89hf Pym1mHr+nUhW8xwDqcAtJM2Ew7LFI4ZN4Qw8qvY6uZlyaHx6e3enmEFDOl82 TP3k8oVkfWqTr7nPDi3nkFuQ1ig+y2Ds4CvFIuoawyr5VGrV5wHnZwo4tGck xYSHMYgvUtTdQ13rYJRnSP3EeI1fDHWwkr11yxkGzeLrTA718dXqLmnUuram 9o3/+ZUgnLqh/pesAWr/yK88L+oMWxtzpRUcrueKLXdTm6rMnT+dOt0qbYID 9R72WKMmtW/m4wQb6hVjrUMLqF/86Rq0lnpHTuDLRdQXSu01VlFL38ad0qdO vv9exYzaN8zkMZ96Swx/qYD6Ce9d8eLx9wtnBZlSi2vmFRtQfx5W7Damlr+Z +tiQeo7jhs9LqbWSzGVLqJ8+yrcyovZTVWOMqAd/WfPSkHpfc4VkKbXoROZk PvWlsIMdxtS7Th6I1KP+aXHvblPqseOhHYuoezbVOS2nvnHsTO1C6plfHIfG XdYU0atDnR895biA2uGQzHPcFgZBJeN+1nRjzbjrDxmz4/azzZo3bt2x6V/G /X/V3efD "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.39875000000000016`, 0.7249999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.4187500000000002, 0.7449999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.75] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUFle3uNHYUIwtxliCEpVYQI0a7I4xFmyIvWAFrFGxYlfsvYFdYwe7 gqhY0NeKgg1RRAGV3gSkWrBwvWvNsydrXPfyeZPv+93f/fLXu56155x37zNz ztlnz95jZu/UfVh+IyMjp8JGRv/56zLzYx3TRWGGoVcXGAY291TaXBwX7Nnr gXCJ/BdfL+7sJ9zXdEZpr9P7hWnfv/3TsEu/XJH2MO1h2sO0L3D0TUj3Ybel PUx7mPYw7fsYFx09sc0DaQ/THqY9THsL33Ijm/V+LO1h2sO0h2mfz6n68AIj n0p7mPYw7WHav1hb/kRc80hpD9Mepj1M+16jq/x063q0tIdpD9Mepr3h1x89 j9vESXuY9jDtYb/YfE8HRJ1Uan5fp+76kARlwNhdZsaBAcJJmYOTJmwKFuZ6 t1cNj00b8kKuh5F/uNfMcmBiihK13Wr+iLEhhmfOu4vXddisdDZ06ZY1864w +sPuywY0b9DUV5j2kz0PvTRzi5f2MO1h2sPYCzc8umx/ka9dlWfLvMYVqpQk bO1wJiVpX7LSuezmFufn3v9MfqK5Ycw9y5dKFc+SN7ftuiLXM97oy3jD/D/M 9ejD9Xr9GG+Y8YUZ3zLdYgo9H3ZQuTt8TAm7nxOUWWtGz+43eJXhO7Pk+TV7 eQhXyEm4l5AWJ9f3Xfyh88YVqWIv/8f16JPTaeRdQ/xd6X9bgfduG1c8UBY+ eGlzZ3qi6KOXwzw/MOPH+ML8P+3hn1Zufdx6+hODxbFDvSzGj1fcjgbVXjk0 WDj7btG5wR3uCx+LWLSvhWOAsKwPKk+o+qpjYMMrwiNv3466XvSkMM9P0Zo7 z78cfE7uH8z4WDmvu2Buc0r4ediRs2cmGKR93ZykJ8t63JD2MNdfqxLT3z3g mvDWB+l9x4X7S/vkul+9WHU+UNrDXD9ucW7vRql3hfdsX1zLyChI2l+JKpnY +06wtIe53sR51cGYpQ+Fp3ZdX8O/VIi037jBNL7y81BpD3N9ZI1t+49ufSLc Of8ec9eq4dJ+jLVFbELac2kPc/3psAPuzkeeCa8N7eN6dGuEtN/1YXt633lR 0h7m+nbtw+5Xfh4pnOM9qJRr1Wjt/oXsHd+iaKx2/1Tmes8qUbYFRsYIO64a ttb5SKzy1d51VgGlLnw2n9gvYfY/mP0MZn+C2W9g9g+Y/QBmfYf16zX6XVz9 eHL3M37CrMd6Zr4xnxu3mrRauZgk/bGeYf+e8jOKV2ufoumvzg/aM/9ZP+As k4CEA4uCFK9jgc8SAxJlfrN+oW/qkVd3vPInC9Oe9dFviSF5bufYlqyPMPcT Zn4vjztz5XVuvKw3z/pZO+RL1+yfVm5gWfOn2v50tX3N8Q5TU5VZlxdfndYq pGWJhY9PpI5eLhza68WQSTd3Cz8MW3d33nof4VbORw4MrH1BeH0Px+iglOvC AbsmBLY6e1N4R7jB6USRQOGmC9oNHzXuvvDkNXfGzqwQLFzSqqdjfZdHwtat w35rYxEqHJMw1P7dujBh0+yEUcVbPhd+eqdRvahuEcJve7xr8OLHKOH2+1se 9wvV2MEyv/c9zxhhL5e2dQ47xArfKWRc/2STeKVO9iPH7+88Nlx+Fm5sYpSg ZDRqX8zz90Dh0dnjHBaFXxLmfsGlc3cWHHLFoMD03yiihNfmK4nCixr0sJg8 JUkxuvC6f8EqgZ9dv/vst/Vmd0oWfmnS/3DfjxoXc/v++NCH2v3tFzekVosl L5XkRQtD9pb1k+d98L0Z+Yoc8pD9veH6mQWmfx97kf2a9jL/VZb5r7LMf5Vl /qss819lmf8qy/xXWea/ynr/jvFgfsA83/rx0vt3yJkv+uuZrzD+RubmGyO9 C+yT6xsY53MveuOY8J42fpvG5w9SWuTOdnJpk6T4DrhXq5fjNaX9Un+b8CTt /vRJTt73PPKQ8LCUm2O/PxCnJGyp3KdG5CPl126l3k2fkKC0qlMkrKBvsHLt atvk+KgE5evtruXbd7+tWBh1nN1u+wulzfKfS3R3OaN4dXA8bPJTqmITMuaG 1xPNX40629q1o9Wn+xYwZ53V/VTFOmvqqm4h3p/5P6wfOT6pOV9N3GLQj8eC SSsnmM/RGP+I9VHmw/eRcZ/msoyHTb5v0rpHP1BSHM12vVmfqJhc6OXzfmKQ rMf4O57JvmsmntL8Kf3/s55vHtu4yoTnQSLfsc1Q2LfRQ+Gi1lv2mM4IkfU/ Z4rj/RkWD2V9xZ/GXvxpmP0TZv2G0W+i4/AzBY++lP5Yj21MfJNGRT8x1Lux wtrQa1fLb0ym+1UsobGzpVf5Ya8fCntaZrXwvhUsjD70V7qrxbr33vdF/tgm ccyx54HCEyNau7xc4y+cFHHz5orGt4TZH2Dso/8jVZs4mRpfFblVVW/z+UMu C6feare1pv0J4ajb3Wvbe58SZr0Q/1C9X5tLrjtyq7C3Nn939Y41Dr8k64v4 g6o8O8UhaOr+q8KjCk2M3JYbINeL/6fKd/aYe9f41h3hoqf9UjeuC5Lrxd9T 5fsGdInt8lpbj56NfJg8eG+IXC/+nSqfUcIu+lvjJ8InK0Yl1TgVLteLP6fK ba6MjHxe4Zlw2/ipWdOiI+R68d9U+bqm5516btTWu+OX5kwaOCZarhd/TZW/ K3MltXFlbX8qv3VRxi/ZsUrDqoM6j6weKvPvzbC7GTnZ94WndZtdv+Kqq8LO NcK87M6fFu4//mKZev29hLPaLRjRcOg5mU+yH6jzlf+/53cvOd9P2n6V0tkt rWjhF3I9+wvyJrse/RZ3VltP+5hvdXq5JkWuZ/9Bvnf606SA1qlK+USTnx/Y 7FSqFmp6e7rTS2Vjm407vYo/En3XflvizPBTD4VPf1185VLfW8IeJz76ZhTz 1+RDuq0qPOS62OfnO3jA7yVvClu9MQ0aVD5Q8Xa16z83PUl5tjpjWWOvO+K/ 4f+VnzOwQr7aL2T9XFzc0bH5pCRl+YwNK346Eij+5bng4nti+15Sri9IKv9+ dYqycmW5y+Or+8r5FX9z1SO/dyVDUmS9+TrMvV56/RSlTrTNiSZmV8Qf3dXh TsT33TfI/PNZ0bTJ1AouwvXOd3EqkhWkmKxJv1EuJVGp1f/57qn2N5WmffJ1 PNomWc6DbR8k1kvqdsbAfgqzn8L4LzDtb1a+HfVd7bXSHqY9THvY3Ovlr8/9 nmrnWx+Djfm7KOF7G5a8Cy8dLzx2ctcDbrVeCBfrUa5Xx9YvhYM3v3QxOpou XG1pj5CwM5nCk6b6WPpcyxa+MrziQtfA18Kles8NHRv+VnhI2+h6HRLeCR9v 2H5JtawPwrlVDz/Nzc39LD7E84F9MPbB2AdjH4x9MPbB2AdjH4x9MPbB2Adj H4x9+vgWzyv2wtgLYy+MvTD2wtgLYy+MvTD2wtgLYy+MvTD2wtgL4z+e7Gn2 qEqTNLEfxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2HsH3V5X1m3 2eliP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2G9ap0avglcy xH4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7H/wdbD66cWyhL7 YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/G/qWF6z5M7Jgt9sPY D2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0tJ58oM2DNK7Efxn4Y +2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y++GlQT9uqnH8iZxPJZ6mMv4e /i3jA+O/4c8ynhJfUc+PXxeLzu4XliZ8berwn29XzhCeFpM4uaVjpnCdbmNP eh7IEo6+kJb5Q0q2sF5//BP0ZT9HP/Y72rP+w6yHMOsDzHyBeX5CLq9I+ep8 2GfvQ/CHiXfiz/I+pnimy8oigS+VJtFXW3X5dC7jvI6/TbwUf5n4RdQNuzcd X0bI/YGx38Wjqnu+wrEih5GbLnrR7Yxposhh5L4O3h/HWaWIHEZuuftCcOn9 aSKH5X3SWjOL1BMZIoeR3567aL7/xSyRw8grOCU+3hfwSuQw8tGDutR1efRG 5DDyM128FtlF5YgcRl6kRdlwq9T3IoeR97GYXr90zkeRw8iJJzQK2z7Kc8AR 8fdh4kPjq4TXN2vlLbx6yryxpk32GIifcD3MeYF4CHIYOf8PT9nVY+u5oOfy /D0+lv62TL4YYedVZz0CvksQ/mbMvB7z6iUL93OvZlSpWprwgfVLe7+umyH8 ZkHykaBmWcLtJtl+daz9K+GN9if7LevxRjim23eejoNzhBv+MqtQq9/eCy+o FzGg4tSPwrVrlC5iPDv3s/cv+vMT8uWGVXsbZ0cKs/7CNXb0sn1pEifMegz7 zfr+g3u1JGHWZ9jRLvbggOapwqzXcL7fex82rpUuzPoN2648ly/250xh1nN4 10zTvpd+yRZmfYdTR88/tq3La2HWe7hl/7gCU/u9FWb9h1d26GjXfdg7YfYD OLzxMS/LCR+E2R9g1iP9+DIfGH/WK8YXOeOPnPFFzvgjZ3yRM/7IGV/kjD9y xhc544+c8UXO+CNnfJEz/sgZX+SMP3LGFznjj5zxRc74I2c/Rs58kPftarxI H7/4R9+XsZ9/033MobL/zfuxHKWLz9Q/vB8LOhdm5vfW0wDfbjV/zcPrHobm M5acnNj1scSPfLcVKzxeiRDuP+OBt3mfGOE3fbcNeTouQXhjI4fi6xcnC1dY UXZg9a5pwqNnTPc2sssQPjfqqXH48CzhIv1+GeIz8ZVwX2v3065z3gh7NDIu Pm55jvAr87EOHTa+F27z7f2z1fZ8FGb8iXevTktqdv4P8fq83h8xPs2tSpfb eyxNOOq598OSRdKF0/Zs6F02U+ONnRt9s6BzhrBHifIblzTKFO589lyP7LUa 95+1PfjtzCxhI/OWbiOCNS6ZWLnsmEvZwqddLwc9Kf9KGH8J1q+vjEdg0fyd x//hfQr+FePDesD1zH+Y+Q4zv2HmM8z8hZmvMPMTZj7CzD+Y+QaH/njT5fwf 4pn4h74Flx62nZSkLLh45ZizuRafxF9s88B/asEGWrxW7y/yPkTi96r/KO9n Vf8Rxn+E8R8f1ro5/dnXYZq+fbsOrTki/B9+v6aPF+vjpV/6Pg1/kvuN/wjj L8L4hzD+IIz/B+Pvwfh3MP4cjP8G46/B+Gfyvkq9X+KPqeP99eLwX2ctPiW8 o2e+TYF9txn+3d9nTTRea77B/Lk8b72jS7TKdzhaOOtySLLPFW1+u+7auWVc qDa/680d0a56hja/445teptSQFu/rXa86+pfUlu/F64a7LGvkrZ+P5x19f3c Gtr6/cOYH3vYNdTW74l2Kw5atdLW7ysdX+aW6qyt36Nbmx3O7ZYrnFz8q2Gl D2jM88D5k/u/uGbGyZBhGm9MfmAVbpsu13M+lfV945SsDoe0+d25Xx9nmw0Z cj3nV1nv879t4JuqtTfyCz116UmmXM/5VtZ/p1mT6jTQ+HT9Qdn1TbPles6/ yAeE557YNVXj0TsjG7rbvxL/mftbJOtwYvWdkTIeJiucBnbqpK3fHkGTNoaf jhU+NKpR0fwOcdp+6dXsV7e7icLW1rmnz8xIEo5a81Vah7gU7f6b33Bwck0V buUzzMYoV9vfr8xvX6RML239X+3hvy+sqLb+l554eFDqEI2fbbB8d/pbbT+w H1rilP8YjS0Wrevm+oO2P3jaTirmPk3jWZOz94+to+0XRq1Chros1DjAod9H 66ba/mFTt9kZu7UaV+hxoWe1dtp+ssN059eNtmusf9+vf/+kz0fQ5zs4178z tNDKEKVn7b3Xq9f5/H2c/n0a9ztiru3rUSZavB3/kP0XZv+F2X9h9l+Y/Rdm /4XZf2H2X5j9F8a/0uuH/4F+MPrB6AejH4x+MPrB6AejH4x+MP4w+T/4yzD+ NIz/BOMfwdwfmP7JJ6J/mP5h+ofpH6Z/mP7JT6J/mP5h+ofpH6Z/mP7Jd6J/ mP5h+ofpH6Z/mP7Jn6J/mP5h+ofpH6Y/8q/oD6Y/mP5g+oPpj/wt+oPpD6Y/ mP5g+iP/i/5g+oPpD6Y9+WK0h2kP40/g33OehDlPwpwnJb6otsefpj1Me5j2 MO3xt2kP0x6mPUx7/HHaw7SHaQ/THn+d9jDtYa7Hn8f/xb+U+gI1f1Dy3VVG Tr6Q1Buocom/U/9AfJd6CeK5Kku8Rdc/+UUw+UMw+UEw+T/0jxxGzvXk/8Dk 94h9av4O+uvl5M9hL9fzPMOMn9R/qOMF8zzr6z/w7/Dn8d+4f/hn3D/9eq8f T/36j1zej6iM/rDEy3T9sT7DrKcw6x8s9Urq/YCRsx7BrCcw6wPM/Gf89fnl jCf2wswPxpPxZT4Q76OegPch5NdTv5Hevf31hPEZEo8mHg5Tv0I8m3x94pHU s1Af0snYONasTKbEu8lXRx+Y/iW/V/WP9fFxngeeD/wV5MTzmX/0L/VOvI9R Wd5HUf/E+zSV9e8TkMPIeV/E//E+COb9kj5fH+Z9FMx4wtwvmPGHiffCnPdZ /2DGj+eV9Y7xghlP6mlg6mmIH9A/TP/EE+R8rzJy4gvIYeTEG5DDyIk/IIeR E49ADiMnPoEcRk68AjmsHz/Wc8YPZryoJ4KpJ6I96z/tYeYH9Tys16zvrF8w 84v6HeYf84d6LJh6K5h6K5j9WM/yvlCdn8S/Yd6nMj+Ix9Je8i/V63l/KvVS 6vtX2hO/pb3Ec9Xred8K876W+ct+A+MvMB4bty9yP343Xe4P9xtmf4HZH2D2 B9ZPxov1GKb+DcZ/0b9P09f7Sb6/ynr/C/u4n83jri5ytkiX54v9iueJ+jKe J/Yj1g/qtxh//DGej8i6+Ye3WK6x5K+r/eGP8HzCPJ/Uo7G/4X+wP8Osb9SP ST2n+vwx3vy/1HeqcsZb//7LY2xi5TXFTos/QXyO/VT/PgZGPxj7YPonnsP5 GTnnZ5jzM8z5Geb8DHN+hjk/w5yfYc7PMOdnvb5rpn/wjJwfrByz3Na+8+i4 z85nExeOeWDSMVKxehNRc2jx8M/OJ8RzmZ/xrZuWuTU6Tfl4vFmHoj8Hi//B /bnk8/XJyPmav2558t3KG3MylVqOORdLu8YpFT5UOu99OkSJm98z7vLVcCWl dFCdiR9jlUoD2p46bP7QcGxr68CDuzOUO9W23ardNkG5+P6hh/3v+/50vdiF 0x0iCjknKHO+NRpVsZKPMmmaTbPmcxMUm0tdP1R1zruebGwfL/9q4xOUJcaX V5vsva50OjzteOFeCUq/Ks1u12/v/0+vNwtqrWw35I9X9PUF/1X9mYN1Db8q vWMU+5FLWwaW1eT/03o0Wwf/czeSI2X+bpqZUtG0YIRSdcngHQ2na9dTr8Z8 8nge+vjaslhl0K0Dr7eHPpPzRc7kVavud3+i1D2c/vsy5//39W2sBzzvJ+wP pr03eSL+95+tf2tTq1HFZz5nZD2/+8OsVnY17hlObGpiP6l0htL6zSHX1QGP DQ4eC2/VqZOphL726jlsR6icl0YtCu05bUq87F/4x6xH+nq5UVbf9C0+VNvf 9PVz+SLtwybM1vY7fT3doKYjTNo00Pa/L62vi7B0KbH3RYycj9ivVtad0r57 2bzr774NrmUVfDZCzk/sP/uGW06suubz+jz2m6adB2Q62cb/5fV6edXn8X8L Oua3cVqaoWScuWR5PvfeZ+e1ELuJv7YtmKko3964qHz4tB5uW/2oUkKwMrtx 16SgtZFKllvpZIfYqDzr/ZK+qzfUb8s5w47QnPnTXqQpfV2uZ1vmxCkBN99U /j3Ex7DJ8tK5QRfjlcNGDQItJ/5uKPZxdtKjtfFKumXzBz1n7TcEN6+z+Gy/ JHl+fHxNJru+1J6nd50iNlfvmqCssx1Y55bTAeXg6t7Pbo2NV076P3Ire+qB 8vPMqivH549WKgdXXDb6l0ilXItnRvMcIpT2Ft4pgypp6wH1hePLjvYtM26P YUL7UsdseqQpreyD19f50c/Q2L1t06ku6cqa88ljlmTGyXlvUZeAus+6JIg+ R37bn9i7aIJi4pdx/XniZHme2O/8UyPGG92Oluvjx+Vf8KNVjHCjQcOf5G8d J1z+WZsbYSGxwlvCz6ysYKGdT/H/rK9lnsyuuvxP1ydu2e2+wu1pvJwv6F/q 2fKoP8zNd39HcYd4ZdrF2s16Tj1ucLCKPbiuUbych5Vmca7GRRLkfDhoxyi/ yz5a/Mj8sWfkrSWxyqGe5dfvnxP2p+sR9fWb6M/90NfzFuyetqmczxGx18z2 8RSPbzw+W7+oT+X/6G/5nmKplqPOa9fvLTd3+LmLwjmrK27ZtfKG8PzVG2wL xFzXxvcL6wWxj/+/2Kn6oQll7kp/Vp0PZxT3vSd8ZuH3HheyHwjPWRg6z8lM Y9Yn+qvksKeOeZMQkfd2iO0+ufhj4axfjubWqh4ufO6X0WHhtmHCrIeSb1Sl /lK3kc9F3mFt00fjTSO053vuDovOtaKEZ+bOqlD9UqQw8QP6K3hkfMDYdy9E XtXCNXz9sGThSRVf1R8/IVW417aHVToU1jjAOn+9TrMSJN6w5PJxozJjE5SA O/c9Vx3xVpxKVatv+OR/VZ/bxvKFzyWJN/D/3dtub+ZqnCb9DSl49Jp7S42L fHjm5NYmXbv/ze/GzS2hMfEI+tvV0Mh1bNkMkXtmlaw4r6PGfZNb+42zzRS2 tqjfwq6ixsQv6C+tqmOCtVmWyI1iJk8Y0FvjA2EelToOyBbeXHGjm9WPGhPv oL+WZW62rGb5SuQ2Dx7faGSv8auAopOqj3wtHFc0J7FUA42Jj9Df6vwWG3Ib vxH5jivNTcuM07jduXH+RpPfas9zzsBWKS01Jp5Cf+Hpa16EtskRebLXrsmp 0zVefzCocvjcd8ILEy9vvNlRY+Iv9GcRmfnLadv3Im++u8At/0Uax2y2cvZZ 8UH44ePqKXt7a0y8hv5mBfbZvG7AR5EvXzvSzH2dxvWXbr3tuilXuNrNZb/O tdf4S+uDFzs63247LEHiQQe9p5zYMC1Bmae89O/59Kpi9mLgi+UdExQPF1fD sT5fXk+81P7nbWPitXjRBP9eo1xKJSi7p7zK+TH8rlJwy/rSDUokKO7DzU/l FLynlKhccUDqznillllZ+1MbgpR7P/Tf2v1GvJJht8js2233/+n1ySXWre1y t1ycMqfnmVFWq54o5wPuWDqVjlOsV3iumr37yZfXL/9qbDG2YIzEvy63PVw/ MCRGefP+0czpe54qzbZf+rCkVLQyNXp+yaJ1IxXLpyNiTD2jlTIVRxxaNvLf r/5Z//2DvL5X8FfXS69YZ/o2PsXR0PNjgOWLglo8LvHYg3y3C2coTW0dAqo+ v2HY4z/O6eL2dOXYUPMWtfYGGMbMHLo60F+Lz0VGtHMrPuiusuBgpyyj+dr7 6PKHcjoVLBQt8ax/dj12yaY/rF1ab4vEx/DnNo9fuW2EWZri0rvhz+NOXTZE Vbpi2sMqXfG8NfJ8zZzrEn8kXuca7eF2pmW6+FMdXU79Nurtp/FxjztfqPJl iedlhdwqP6VQvNLc/27umwufzgM/2F0o2yVK6WZvf3552SjlZrb1oBElw5Te v/40pYxvnGIxpk+i+VMvQ8O4W5Uf7ExTWvrttl7n/MjgMG/S6BYJGcqQBaF1 Bo15piyqubL57BaxysA+1QxemTGf/MLT07+zfar81DvYuPbdCCWuo2+j9l7R SmD33+4NCbtvMMm5c2pwf60eD3+c8xDMeRnmvA8TX4LpD/+X/mD60+fDwvQH E9+Cicdx3iUeBxOPg4nHwcTjYOJxMPE4mHgcTDwOJh4Hox/nbfSD0Q9GPxj9 YPSD0Q9GPxj9YPSD0Y/zPvrB6AejH4x+MPrB6AejH4x+MPrB6Md6gH4w+sHo B6MfjH4w+sHoB6MfjH76/BniIegLoy+MvjD6wugLoy+MvjD6wugLoy+MvsRn 0BdGXxh9YfSF0RdGXxh9YfSF0RdGXxh9Wf/RF0ZfGH1h9IXRF0ZfGH1h9IXR F0ZffX4R8Sv0h9EfRn8Y/WH0h9EfRn8Y/WH0h9EfRn99fhPxNeyBsQfGHhh7 YOyBsQfGHhh7YOyBsQfGHhh79N9f1ecb6d9fwFwP8z6D+gHaw7SHaQ/TnnoD 2sO0h2kP0576EdrDtIdpDxOfIX5M/EwfTyZeI/WnKiPnPC/1p+RzUG+qstSX qiz1pCpL/ajKUi+qstSHqiz1oCpLvZZOP85jMOcnmPMPz68+34rzBsz5gecf Jv7CeYH4DvE/5PK9XLU/GH1gxhtmfCWeqI4vzPjCjC/M+MKML8z4wowvzPjq 87uIZ+Pf6+PbvK/gedTXl+MPwvp8C+TcH55PqV/U3W+9v4dc6hVVlvpElaUe UWWpP1RZ6g1VlvpClaWeUKcP/hSM/wLL97NVe/XvR9g/eH706zH3g+cRZrxg xgtmfGDGB2Z8YMYHZnxgxgdmfGDGR/89aN5/8TyxHpOfQD4A+Qecj8hvIN5N /ao+v4z8B/IR9N+rpT/OZ+SH0L8+30yfn0X+G/dL/70pqVdR/498O+4//SHn /7l/2Mf1xF+Qw+hLvgXxcuYLLPXsajxb6tlVRs76hRxGzvMo9fIqI6eeHfuo H4apb4epH4apd4epH4apf4epH4aph4epH4apj4epH4apl4epH4apn4epH4ap p4epH9Y/n3w/Gub70TyvfI+Z8cV/IV+GfE5Y/31lnj/yY3i+mG+szzyvUi+l tiefE/YwBBSwO5Up7amXor3UT6nXGzmvrLa+j8Z2FjZt7rzNkvbUT9Fe6qn4 PnVUCcdC2zUuueX+AqWlVk+FP8P4sZ4yfqyfzG/WF/6f+U9/Ui+qstSLqiz1 oirjj8n3uNV8KfZDxhP/DCafifFlv2T8YP6P/tCHfDbWE5j+6J/7JeuNet6T +Jqab0j//D/6wvTH/ZR8UvV5Y/+BWb95PmHyh/k/7EN/ff/sd9xP2uvr7//O 9/pz+V4nr3Vy3/OHfK9/dX5XXt830Od/5ZW/lVd+lj5/Sp8flVd+kz6fKeJj i1l2/00+0//17zP82e8t5JX/lNf3GPT5UX/19xlYb/Bv9PkNeeVj6fOv9PlW +vyqvPKl8sqH0n8/4v+370Po8+P+q3pxffzmH823+tLvQeSVn6XPv8orv+V/ a34W9fZ/Nh9L/37qX52fpf8eQF75VvrvCXxpfhXnwVOz7riumxiXZ76V/vst /27f9/ir87n+zs/6Oz/r7/ysf5/8rC/Nt/qr86fyzG/6k/lK+nwN4jszlKcr ctxiPqtH+L/+vSD2D/37hn80n+h/2/eAvjS/if1oQhuXpgttP51bq3tXWO8W KvHnvL5X9vf3hv653xv6V+d/6fO99PUU+u9p6fPB5HuDh+3OLcyeZPjSfLD/ AM0x6gs= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl2dw1kUQh/cSCIQEE1IIJCGVFEJoURQSRLDGFhQVpBiRCEiQoBQLdkRE Qz7Ye++9f9dx7L2MvbdhLGOZsYyOjr+dfTK8H55573+3t7ft9pLa5evm92WZ WU4yy9bvEWKmmCjmi3bRKo4RHWKyuFBsF3v6PqGt5jqWiMViuBghhrI+jHXX n5cxt5vIRbZCjBZlokiMZL2Y3wLRI5aLQmRHIVuADte9UCwQQ8QqsVKUiHJR yr79xRzRItaIXjFGVCPntqwTfaJS1IlxokrU8+uyG8R6USNmiSnI7iEaRLPY XbSJ8WKA2B0mjhfdIl9cJKYjPxRfcslDK7FrJ/bZxDsH2SximYPfw5BxG8fi Tw6xcb2TyG0iV3nsySXOI5Er4HswB0XEvpi1UcSylLUyvrfhzwx0FSG7Epli 9pRjX8KeLPZXZKxVEfc+4l3Bt8e4Frlq5AZzU0d8m8lBL/vKyFU9e7aSC6/h vcVU1rKIeTZ2zWTuYDFXzOaMKdhQz97BuWnMzyGnLejy3HlNeh20sW8/i/rw uaPEPPKzj0UNuQ/dxDsPu9oz9HWg08+fhQ1t+OP6+8mD67nE4s4egO7ZxGc6 5zWz5jKNrM9F5jxsdTsPQs5lSsir5/QQcahowne/Y3ux70D8PJzcuM4u0Ymu fuYnWNSi1/FwfD0aXwfY38hZXeztZNxE7OZl5O1IYnYp/ncSrwXE8DR0uj1b 8K2R9YXY0MV5rt/v7AkW/cfXFmOvyy7KmPM+mE/OFjPeLE5k7xliKfJLkfex 97cVxPVY9A5hj989r4PTWfP5M8Uy9C/DPh93My5kT3eGjh70F/Ndgl09yGwi 357rMvLrvXG1OJvxSRa91feexXcJc6uRcXrRUcG4Eh0ns+6/axj771pkevmu hD50eE2vxzaf8x5dI05h7LLn8F3J3KnI1LDX7/5Gi949OLcBndXorbFd71Ax MViFnedb1I3XzL7kw3OxiLx6Ho8jN54Lr5fNxHYF8SrBrnM5ay12u81zOaOB 9Y3IeJ1eYFGfHZzt5/q98T7md2c740Z+tzLvd9x7sveiGYyb8XsTvvvcNmT8 nC3oWYI/+bartryuvXHfYFF314v/kLtavIp9bvNAho0D6PT7vgNbdvA9Abl+ bPtW3GfR294Wb1jcwRv96BRx9Tvtd9t7+LXiH/Lwnbjfohe+KF4irlO0b2IK P58WtSn65hNiXIp+VZfibD/3MVGeIn4Pi7IUvXO0fh+kDqo13mmxdye6fNyi +cYUOdiOrW5njea+sXgrPhAfWvTHmz2fKWrE1+9F5m5RmCJPT3Ge639FTE4R w9fEPRa91v14HBu+Fh9b9D3341Fq4QvxpUVfe1e8Y9GvXyfWHucnOWMGfj9k 4ft4jRtS1Ijn5HLkX/YcpvDxLXEltTRKc5dZvIvPia8s3olbxbAU/eJOMTLF nbhdjEhxJ54R9Snesyr9vmDxthSnWPP5N8UV1M8YzT9r8Xa9Jx6weHeKUuTb c12h8fMWb15rCltbiJHnyN+Uv8U1Fn02WzI3WfRI/xv5FqPfpagzr7F8je+w 6Dt/iT8t/l7+hLh4TPzMsSnO/V38YfG2FWjuLot73pTCH/clV+PbLHqk+12Z wvePxCMWb9Xn4jOLv03+FddZvCded83U3vfiB4t30eNRmiImv4lfLf7Gn6q5 aeJii/sxiTvys/jF4h319assZH4SP1r8r+Dxfp+Ye619Siz/B/Q78Bw= "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPFzq/aeIUTUSLVKq/beO4IiCKJWEKNEKd1EKhFB7L137Ngz ERISfLHF9kHsvef/5JwPv5x73/d53vd5zrhRI1KSJkWISH9E4iEuoR264QES g8g8YlfUYF0dCaxbYSG+oB+aozzflUMi6wZ4govoge5YihvoiFicRwWun07M xQXcQxfMxjlcRQfkoB7XxiOPdVPsRGn29YnxKMp6K3EKUnAS+fhsFDEdx/EH QzAD/7AWwzEMS/S5uX4+MQYnIOyTCTPxGgvQDL1xDD8xEGn44DnRXCThGxah hee4EL+1mTgR4xHBfj1xNEbiB1ZiEAbgKJajvf9GCa7fTpyGqcjPfiNxHMbg N1ZjKAbjKz5r3rxGZ1CMeyYTs3AWJdmnErNxCgXYjyVm4DQKs59AzMQO3EFn r8liPPPeiMZNPPZad9LUBatBuue4SLBnyPIclApW4xx/p+eoyWeziD1RMNgz ZPo71grWI9obek1ksGfO8By+xUfPfRyu4wiaiPVc8WDvnO098st7Yobn/IrX NM1zfghVuaet/4bWMoH9XK/HZbEezhWbGe2dw2K9qT2ks3Of2Fhshg6gMp+1 ITZCDOtYzPFr9qIi+9bEhqjLOi7YrOR5Lb97L2lN7+KW2KxpTVZ4D2nvaE/W 5t7oYL2s//EKL1AHvbALZfi+pdhM70bZYLOtM7zHa6K10Bn9hJd+b1+895xr rvuIzcY7X+uMPMU17w09A27jkdjZou9Yif/a5++qOVknNhM6CzqzG8R6XHtb e3KVWI9rb+sMLxObEa2F1qQK1x703GrN9ov1pPainilRfF8t2Fmh77xG7AzQ 2U/GJrEZ1dnUnt8idqboWaIzs01sBnX2Uj2Xb8TOAs3pX7EzQ88KncH/bcic Pw== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHe4VsURxu8OliTWJCaW2DWGIiD1wgVEIkVUOipFpIqiCEZBuXQ1Yq8g UqQIiooXEJEqRQRRUQkKUewtAQGjRmyYovM+8zvP8sc87+5+5+y8M7v7zp7v pD6DOw6ykpKSf6WSkkqONbxT0+0s7+/v+JljU7f/udVza+j2k1t9tzK3H932 upW6bXBr7HauWxV/t7Lbx95u5FjmtsfbTRwbu32bwo/87fB2Lccz3HZ6u45j bbfd8ulY14JfqWN9ty/Fw7GB27+9Xc2xqtun3q7ueLrbP8Xb8Uy3773dy629 Wwe3rm6t4dkNPM+tO3i+28VgG7ceYFu3S8B2bpe7XeTWxe0l5lS7N346uvUB O7n1BTu79QMvcLsUvNBtI3Ne5tYTP+J9t9sot9FuA/CjOK4kBnEfCIr7VaC4 DwLFfTCoua8GlZu/gOI+wu0K5r6GMcUxhBjE/VW3/m7XuQ2Dr/LxMrlQDOWM ie9wUPNey3x96XclhpH4VByvMfc4tzHEIO5jQXG/ART3G0HxvQmUn7+CQ8jf QHIzGtS8t+DrerdbQcV0G6g47iAG5eZOUHzvAjX3zfgZivVjbe/Bn+JY5Vbh Ns/tfmIQ9/GguE8Axf0BUHNvIh8T3R6kLe4z8XGv28PgfW5TiOF2t6mg4ngI VBzTQMUxHdRemwFq3kn4UW4mg5p3Fn4Ux5P4k59HiEdxPAoqjr/BfY7bY/vE 8TgoP0+A8vM08cjPbPyMJ39TiWMeqDjmg4pjAag4ngKVp4Wg5p2LnynkTOsz lpjGsjaLiUdxbIb7Erel+8SxDFQcy0HFsQKUn2dB5Wm92yK3Z9xeAOVnNfEo jjWg4ngOVBxrQcXxPKg8rQM170r8VNAv8icNb+BWN4XWSl+lL9Jvabk0/cUU Oi4tk3ZLG6XpldFX6WNV9FX6eDr63YY4ZpMv1QjVCtWM2ui3dKwu+i19rI9+ Sx8bUB+kj2XUB+ljY/Rb+liD+iD91RmV/lwGV2mINFF7XOd1eMo63j1lHVd/ Ius1J2VN70EuetIX1170pU3SpSvg3ZvfCk3vk7KO68xL+y6Hm/RF+2o0/Abw W1fmG5Byneidcm3om7KmX8lcw4i70O7BKWv31bx/DX3Ndy19zTWEvuYeSr+o EwNTrg2D4FeOv0K7y+E7gr44jaSv90fRL7R1FOsjvtLWQgu0N15JUef6p1yf ruI56cy4lLX4lpS1WH2dSenAfYzp7E5OWeulm4We3p9yPbgR3tI97ZHinBfn XnhPyvp+R8r6fif5uhkf5cxxW8o1aUzKNWlsylo8k3ikbxOJZxL9Qk8npazR U1KuZzekXAMmwE/zzUhZx6emrN3TiGkWvotaUuRiNr+NZx3UL7R+esr1QPO+ zzr1T1mjdWZU9//OuLhKZ+bCo4J+ocsVKevyvJT1cRlx67199XFFyto9P2Xt XgBX6csiuC+mrzMsLV6SshYvJX7p4cKUtXg58S/it/dS3Fd0Xj9weyOF9omr tHhVylq8OmUtXpOyFqtf3B27EbPeW4kfaf26lPV6bcp6rX5rfEpn302hvxr7 0G1LyncpYZeUa8Z6cr2S3BW1TbyKOqp8f+S2NcV5eyvFvUr7cVuK+4T25Nsp arNy+XqKOrcEXspJY/xvgdtWcide2gvaK/2Z+80U53gT/sYx9zZ8bcbfHOZ+ h/m3EH9ruG5l/hdZmw340G/SQt35/+F4Jrn7mHUwH/+EOavQbpLi2U9pi+Or 8HyFHG3kfT2juvEya6C4K+GrCb+p9qme7Ofj2+Ggvuqg6kl1xvXd9Bnjam/n 3YKz9ovqwCfwF+eafHPp++tJb7dzO9DtF25f+NifU9Qm1VPVonqMn01ftVX1 5CvaGv+C5/Wuvq0+p/2fFN9vpazD4RYc9jLeCG6/tohdY/9lXGO/YfxA5myW 4htNvpunqKe74avvvu8cW6Wocarvqpk/pKjvGtf3mvrn8JvG9U2ULDjJ79cp 7gya/5f4Opu878Tnhz4+1GJPHeC4i3zWoi2en8OtGTEdZjG//B9qwUFr/luL 9TrN8RALnsdb+JbfY1kb5VP5qERO9sK7jLwaudVaHMe7x7C24vB7i+9t7ZMe jkstzpNqqXRfOv2Rj11vcTaOsohNcR1hsRfFU/euEou7Vyk8dK/TPUz3v7rg /1PcBY+24CEOu+gX+fkDcSkHRzD/7yy4iueRFjzOYp8fSXs7zzXF90/4Fy+1 lZMTvf0ri3U82fEgtxbePtXxYLeWcBRXxXIw+0fj37F/WrLXtR86sTdOYp5T LObSMydY+GvOOdAdtAPPnszzOpe6y7Zh/j+y1jqXuvsW2lCZ9dW5qML/GxrX nbjQhqrkSliN9jdwasncpzG/9lg17tY74NCUvVyDfOr+XIe10O/VLetJde7i O3i+Lfv6DNZxJ+12xF6bebReNbm76/da++yBWtyzd/N8e/ZDHb4ZlIMq5KG7 4zMWevoluS00px73fsXeiPu99v7xPKM1LCMnauuufwFjjRg/BE1oxX48Fv7a L5q3BXN/w37QntI+0Fo3pN0CDntod6LdGb714KP/ippy9r+HTyueFafOjOu5 C9kn0jVxF0e9q9/PcXzAQle+Yv81Z5/qO6cT49JK5UzfQaU88zW8i2cbsj/3 0G+R8jvF3q/Pu+LbBM49HVdY1GHdxaUfuie+4WNbLDi97/aB25+0ftIbi/O/ 2e11i7WaoPksasVzjn0savgyx+EWtfRd8bKomUMs9FfaO0znw+KO0MXiOT2z 2OI3jXd1fM+iDotLa/jsYu9q/19noX3SvYmOkyy0Qe+15N2btIYWGt7bcZXF veNBx5kWWveO8mRxp3jacZGF1m9ze9viXIpvOdyaOU620B/N14s5pzpOs9Cz Z91GWNx1dA66cRbe1JjFmV/tNtLiDiRdv9hC27U+l7BGax1HWdyNNN9y5lSO l5Bn/b6GZzaJi8WZmGHBSXwW6gxZnJsF2msWZ2WWzo2F9j7q+LBFfRKvlXDr a7HGWt9+js9b3AdHO46xuCOsd3zBov5vUC4t6sNLWlsL3d+oNbGoB1qTR1gX +Z8OB/mfDYeHLHKtPD/meJ5FHZ3r1taizl3qts6iTl9ksZZaxykWe0L7ocKx vUU9fsKtjUVNne/W0UIbnnLrbFFP5rida1Gb57l1sKjrW7X+FvXhcbfzLerr z7Rp/tc= "]], Polygon[CompressedData[" 1:eJwtlOdviFEUh9971KpV1Kqq1vwTrC8+2FspaqvYo7b4Yu89Y4RKbLUJIYSY Vd3DKIqIiIiIiIgg4jk558OT87vvPON3b0pGZupsiaIoDWJgKIsd8DNEUW1i b5gKpazbEwfDVvjGuiZxAGyCz6yrEdNgJ/xiXYc4EDbDF9bViftgL3Rk/Q/6 otfDB3QV4kzIFvtWU5gBp6EqNIbJcAIE4mAWnBH7dgJoMWehBiTCGlgAZXz/ LcxHXxLLrR1kwjmxWpJgNUzxet/AHPR5iIVk2A8HxHLvBPPQF8V61Qb6wDp4 HyzHaXBSrLYGsBYWQTn338Fi9Ap4Hexaf/RG+BSs5n6wAT6yjiEuhOXwKlhN Opul8DJYzkvQK6ES/RS6ew+09lzo5jVqbTkwHX1K7Nvx0MNz1NzyoCt6N/xB d4Bd6F7wF/0bhqC3ww90LeJ9WAVdWNcjDoIt8DXYTB56T7QX9b1XD1xrz44R j0Pwb2QRD6tBoXMwrzyChu4ZnVWlmDe1/gqxGets28JzsRnpbFqLefuF31OP a+7P/J7WcJR4xP+lOYyH2/oO66Jg3r4MdcU8PpZ4U/+DLoQr6GHao2DPLHPP xvmMRhKvis0mH0ajr2sO6ALYg54k1jvtcQbxLlSgi+EaepTYu/pOntie0b3S xL3zxLV6KFdsD+neaeTeSBebrXpEvTdCzBvqQfXWcDFvqMcOoQ+KeV1ncA8m iuVSArfQ48Rq1x7dQU8Q65Xm3FPMM+oV9dAN9BixWrVnepaUQkuxM0W9Ugwt 3DMlYns0ya/pWZMPzcTOnBwxD8e7J3SvPPZadc8UiJ0RCf6OnkWF0FzsTCoS OzMS/VqZ2J5P9py2QTmkwHfdU8S50Mqvpfozei/W710Q2wv6zH9Fhq8q "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVWHm812Mavf3e59d+S8m92hepyEjdRGOMkYhulFKN0tSEwjQpJkurGWMs pYWQJHEJId1I0qCxkxYlZBa0qZuiLKnbMud8zrmfe/1xep7f9/t+3+V5z3Oe p9t86LW9R2ZycnJ2VcrJSbCb8c+DkZPzLR52hr8ZdhcwDf7WjJ7fB3877F5g BvxtsN8B98L/GnYP0Az+eqA5cCewBc92A7+Bvw/2EPAA/B2w3wO3wO8H/Br4 O3ApcCZwPXA28DvuCyjB2B+AO+APBM4CHgJ24tmPwD/gDwB+CxzOaK2fgaPw uxpQHagJZIHKPDCwH+8PAJWSbCkwBf5k4CD8Lkn7TbBhn3NnvcaRjOai5XwP A9/A/8nvuD7XOCdpjrJ9lM1Xw5bzVfGeuJdc75HPHgeKgKpAV89RG5gHPAJk gL8BvwfOSIot74f3VMfrcZ1j/B3jkZ/0ri5wrp/XAxrYcuz59usDLYGmSXf7 EbAWOBoYBvQAWgB5npvzNvQcef6uvuf+2NxoBFwEXGieNPJY7us4oIm/exKY DxwLdPdzrkUekmvkXF2fj3f7LrAMKAA+BT4BxgJrgIXAROBioJfPtBgoBk4C 2gEnAm19tpq+h5OBE/yOfGZOMDc2wv8MGA90AH7lsVcBfYBOSblD7jMHhsPv 6fMVeCzXZO4wh5hLL8FfApySlF/MOeYe+c9cYc6shF/omLX3OqcmcY95wHzo Zy4wB8gL5hO5yNxifpCTzBXmEHnPfGKekf9/gR2ZlHvkFzlITiZzqZq/J1eP VMgf/p7ssaXOv8OZX+ZMpPKcyfobzl/Z+ztS4ZtIv8wTrl3G0fr+Jtf3VGS/ ivdHHtb2N3X8m3PU9e+avmP+Ps9+rudtap5lPa6GvyE3ydG19vntuqR86Ob1 jknl+dPQe83zXfH3fPv53lOex17gtbkuNY06R73bkJQzhX5H7rTwHlv694X2 mZvkOrl6fBL3yU3yljwl99v6PblHvt4E3Jik931tyW++I6fbe2yBfy+xX5Yr 7fyeOdfJY95LysPeSXlwehI/iz2+rePSzOfon6T95MsQx5L3cVlSzThkHSWH 91tPyeED5h45XGrtJocP2p5tf1CSjpNL671uQ6/HHOHcf0zSQd7d++YE+XBN 0p74+w9JOk5+DU3SR97Z5b4/3s8VSTrFOxqcpNe1vWYDr9vcd9bMMWvvuPEO e/lORyXpVNkd9/ScI4CrU7m+9HFsu3p/3Nsqx77AZxrsPcxKqg3UkRtg/+w7 Z1wvTeVxHeDYjoa9xPfHGA90nBmDQY4n762fY9nFd8b7IqfIrU0ZxW6I75R3 MtL30sPxauHzDbPf3TFt4vNd7T0sT9JWnnuHewjWOMZsuOPEsaM9njG+0jFk rflThWej/Jxnui6JLxf4Xut7nRFenznB81Dz+zpufPYcMAZoAyxN0m7qNjnb 3zH5p+PA8cwX5iP5vwCYALSyHW9/o3+3Bu5KqjesH9OTagnrAfN3bCqvRxzH nJ2UlOP89pmk3/TX2Oc+WRPHea22Hs/a97SfUzdYq+70ecmL21I5L243F5g3 rCvMHfZpN/tuWctmJtUz9lFTk/qTbe4XWcvuTnp30LVtmtcc53NxD8wt5mQ9 n3u64zDTa+xxzZns+TkX/VL3PewPvvaa9zhuryatzbH3J43Z6x7iXu+RY2d4 /3x/v9eiZlM7mL/k3Sx/uwL2X44na/TspPyak6TjrMez/Y6aPjepTrM/ZJ9I n/Wa9Yt9Xi1/N8fj2fewZuR7HN+V+Lu5nv/RpF4wY/tYUq/InHsiSU/5jrWc MaO+FXmtKn5e1Siq8Gyen5HT1P125kqxufNUUn/GPb5pzrX2fvm8sfm10N89 m5Qz5OG1STlJLZzkd20892KvybgucGyf9zxtvI9ij3nB4zn/Sq/Ndd/yN238 /kWP5xyLPP5tf0//DZ+B+38tKaaM2SqfvWOSnrLOdbB9JUmLmPcvewy1jTwj x6gTzP/OHs+aeJq/W+5v+ey9Cs+X2Z/qfXAPE7w/7m2Mz8Zz9fb3Bb7z131f POs7Pi9zaoVjuMhn5nlL3FNSR5f4DNw/NZr9DXsb8uSDJP3+0PFt7Gd8R/6s dow6Ok6rvB+uv9R7WOnvCz03+6UyXvNdI3+32mfK9ziO6ebx3FeR1831Pa5x HPh+ncdP8nPyjnpPrafms0b9NUm3qBNTHNsn8P/dJ0N5/nToN/2FsAtCef4a 7OGk+vYC/OdDOf0/2FqhevU47LyQPt0DOzWkyy/DvhjK5xLyIZT7j8A+FNKb 2VwzpHFVs6ipoX0fBXteKG7/hq0ZqlH7YQ+E7vUQcF+IL/uAniEOXgR7Qqhe 1cCcR4drIOyIUFzfh303pDsfw1YL6e6HsBHqKd6CzYRq/hrYyqGegv3kRnNy PPeTVPdehb8spE1fweaFaks2NC/n/AB2X4g/uaGz8VxVQmtw/uqhPXE/n8HW COlNBmfpG8oR7n2l978R9ucQPz+F/TykQdfzeVKfUjt0Z7yvE2FvCNXpQbCX herYj7Dfh3KxOtbqGuopqP3sw6lXm/AsP6RNTWC/CfVqm2GPDengHtgWoRzY DdsspDU7YUeHepbtsA1DOlUJ9s1QHk90fBlb1kP28az1LRmnUI4UwvYIacyE 0Hl4ltbcf1Lftgr+KaG+cC/wg+N2Cex3ztmL4e9Kilsv+DuT7mUD/A6hGrwW tn2oj+wO2y/U122B3RrS7h3A0lA92gJ/bqiGboI/I1S725H7IZ36inkZ6lua huLIGG4DngrV1tdhTwr1lNuBxaGa+DbsyaEedCt1Ify3APjPheov4xRZxao3 /DqhmjMAdmCo5zuO64S0m3fS2PfSCHZHSC+bw34b0tRRsA1CvWoWc1fKSrt5 P+yrWpkjG8yT8X7Xyj7vlHVznMfzboczxiFdn+Cc4thSPDsY0v1usMNC/fKX wDWhfot5wHvlnVInTg9pRR/YzqHe+j+wp4b62i9gO4V66xLYs0J9M8+RfJZa sF1C/e+5jHfS/4G2wT8z1KMfCXGI/GH8crKK4ZVcM/R/i7thp4T+VjcOdmzo b1Sfm0PkD/Wpf0ijhsLW9RnvgL099Pe8q5h/oR56CPfuWFFfp4c0dlqIT+TS XfAnh/rUweR+6O8ZjMeXjgl1grwn529iLEO1IYX0jlp3K/cb+nvkbdxLqA8u TdI7at0t/A64Ff5+aw11ZgzXDP1dk1rbMaS3D4TygblA7X84pP9zQn97ZY/K mvNsqO6wJswK1YVHQ3nFnHomlCfMkfmhHCD/WX8eC9Ug3tX5ZfeVVMNYv6jN y0P6PJMcS+qJqZHXef/rYNeHesc3eL+hfmhJKA+Zg4tC+cZcY317KVTjXglp AXWAdbI4VCvJu/+ae/x/A2PG/3eSg4fNQ2rVOyG9ot6sDmkONWBiSAdYN6hT 1KhzQnwlV6lVH4X0qtB5yL6COrEipBW7k+ora+uhUD4zl5kfnzhH9iTpPjW/ Xqh2sm7+Hxqjxy8= "]], Polygon[CompressedData[" 1:eJwtlnmwlmMYhz/fc3+KNmuyDYfCTGP8oZmaUpxWS5sTWlTategcQkpD+yLF adMyhEQhtJBGCKVJaMhkiUgo5JxKdYxErt/83j+u81zP977f+z3v/dz3/Zyi fmUlpflcLlcOAU35czbcnXK5gdAC/xVewzdBbfwH6I/fCHn8Q+iFt4I38XXw JH6UB1cxHoIhcBcM4NpNMBwfCbUKuVxj5kX4DrgG/wlexjdCB7wj3IpX8LyW 4WfqWYPhfeYnwRL8Gbgd7w7X4SPgAPzI/EXGBnAG3gUG4O3hTPwo4zDomOyV 2bvrs7VcfwOO5P1OWmsJlCWvuRm+B17SWuAUfAf0xa+Hnfg3cCG+DI7AH9AH hsJ6rr0VjtVi5q3xy+CeLGar8JVwmOuLmPfG/2IshftgNfM14Wta49X417Cc eT24Ah8Mo/C3oSb+HfTDb9Bn+Dvh367i+8F+FGAL8xJYwrVn4SDX5jK/Ev9A n+HvwrzwZ/LHYKHWAuWKPd+ZgO/Cu8MkWKG9hT+5toD5cu0NPJH82W/aO+UU 85UwFf+esQdMgeeYLw2v5RD3d8Ib6h2ymCzDXwhf0zNnKF+VFzAt+d65MDP5 OyfzrtWZt8W3woOKD2M3mKC9Yr4fOuM3K+b4t4y3wTjoynxgOJeVo6/gr4bf TXt2UDnBb2xjbJS8t5fDLcl7PAf/N4vdDFjAfD5U5h3DBnircK6vh/9gA/Oe jC3hEu0NrFXt6bqeB53wO6Eav32aag7/BM7H92mNyTWttdUP77XWeDFeAavx NbAYfxpmJ+fAuXgfuF/vCk+p1sN7rXtqFpyDyr3tii/+GdyBt4GP8a1QG18K x+Ah5l1V+6oZvF24NgdBDfyrcO0op0/HzwrXqmpwPD4WmuMTk3NtMvPJWc5t xK+CDck9Qk1OPUO9QjncPlwjqg31pP1ZTigXtEblRptwrSpHlIvTmU/NcrIc fzzcm6arBlXLqmm8cXIsi+D15JhWZHuivVBPUK/qBfcm96zz8L3hd9celuL/ qOYUJ30H/z28t8rJ4+GeqV6pe7op1uHeUAz9VetZPLVnw/G/4T18THIuXBCu NeXEsXBPUy/TPVX4FqieHMPjWc4qV1VDqpVx4dirZh7FH4Frk2M0BZ8ELZL3 5JdwDil3ViQ/+6NwLug3yvCfw9fGJj9rZrh29cxZysVwrFUjh8M1otpQzL/E Tw33XvW4nvhuxtHJMVauTAz3IuXMA/iYcK03gy/wYcpB/HnYjdcJn3U6M3bh tcK9U2dgk/AZprNLNVY3HGPFVmdOsXpRuDY3Q+CfQm+8NYxQLYV7SdPks/ei cK/RGXxOOAe09zpjdHZsD69NZ0i9cMwUK52Z6p2V4dpVDx0azoniLAbai2nh Xqo92Yyn8NmtNQ3BdzLuyfvMGB2OkWIzXjmBn0juPTrzH1Z+ZrWrnjRS+ZW9 i2p6kHI16xfKwc/xauFeoDNSvetSWJfcwxqFe4h6h/ZgG/NCOFbqIX3D/5Ns yvJZvXhUeG3qyTm+eyLca/VM9f4e4f8FdAYcCO+J9kI1mbg/X3Ct6sz7H3wn MWI= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXecV8UVxTeQd18SMSIiihRpK7DAIiwgHQMSBXFBqtKLVMGOYIvGhoKA vRJJogImYog9do0xzd57jSV2EmNiz/l+7vl95I+zM2/mzbyZO/eee+a3bWcf PvawBlVVVSP1p6HKJlFVtaNwWlFVtUxYKCwSlrs8VDjO5WLhCeE6tz0pbBaO F44VFnj874TrhROEpcJ89x0tzBXmCY8K13rcX4WrhCOE14S/CL/2+CXCYcIx Hjff31vsvseE33jtHwnNhB2FnbWnpsIK1d8QtggnCmcLpwtnCO3U/zOVpwrb q95IOFn17iprhWqhg9BeuEHtHzCv0FjYTm03qvy98J7QVNhB+ETYRWgirBZ2 FXYSbhPWCrsJtwvnCS2EO4TzhZbCSq/rTOFx4bc+hzuFC4RWwiPCJtt1sDBS GCHsLYwS9hf2FAYI/YV9hDHCaGGYy3phiN9l/LvCO8IBwkBhP2Ff4SjhEJ8Z 6+so7OF1dPJza6Gzn7sKewl9sKG/308Y5DXu53Ux90/dTznc7w33eu8SLvTc fxeu8Vr+JlwtHCk8LGy0XzwkbCjSv+4WLhJ2F+4RLhbaCL8Q1glDvb6f2GY9 vT723cMla+wW6RecRV+vC/v1su2wfW/PwXOd2wb5XLFTdZGx1djx1UPlnpF+ 3thxt8Jr/srrxg938Ps/jnzGJ49VeYX98AWVAyJ9sXXkeyd7rY09Z8OyqqqB 8KXqP1DbD4Vfqf6W8KPImKhS//eEL4oc38jxcJrnYf+F+qPM9X2jtq+Fz4vs a+R13qjyZuF11f8k/NO+dI3a7hCaq75J5Ubhefwk0ueG+t13/T5xRSwRRzfp ncGR8TNe5WXCSaqPUzlTONzf395raBW5txPtP1/Yh4ivz4qMsfc9P3abpPdv E9aofi+2UP0SbKW9lsLX2EnldsI3qn+q/n8L/1H9A5Xv82yfesA+cqX3z15e Vf/ASD76TOV/I9fxisrXhI9VXy88KBwk7Ka2iHzGL3byOR6s8kPhXPv7Q/bz OrX9WeUcYavq/xI+Vf1zlf/je9hW5Xv0FTn+D0Xyz6vCP4rc+31CA71zqcoy 0lfwk6ba985l9jVRuSO+EhlT3ziutldbI+Fbzkxl4zLtiD0K/NX7Y1/Y5k3O SNjK91UOiuRKvn2Z0F54TnhbuFX4Uv1fsR/7cOlzv8prPcL7Ic46FBnzNUXy EWfKebbFZ4rkHPgHjiRmiX/4b4if4cHBfl7n8yTex3vcCI+BO+C4CW5j3Ngi eazCazwfWHzHuXDHO67Xu2+43x3jfp4neU2jPNc4z8V3Bnl9Fa6EO8mpU4Sp RebqacJ0fMY+yLfIkTOFWUXmzBl+Xuhx0/z9vp53nsdPti3gu97Fd3xd4W/K Sq4Y6PVNtD3Yw5VeA7493/NN8fvjvTdy8tNFxuyzwlOuE7d3+zzhRHwODr/Y 58qZwvfkBvIC+ZB8QC4gTxL/5A447s0iuY34J4+Su8jD5GB4Gl9Cb+BXzSP9 Fv/Fd/8o1AqXC/cX6WPkbTiFfIh/ET/thF8KLxYZ0+SaF4r0IzTCy94rOgXd g+Yhdp8pMn7RU+R7cj16Co2FvkJDobHQO2gBtM4y2+xZ2+qWImMGrUFMw69r bMuX/A77e817RMdNtx+gv9ATS72+N2wr5oLL4d633M48c32eB3uf1NEHs332 +G8XnxVnVOMz5JncSk5EM3R1P3br5pLY7+n+TrZ5B9u/zm3ENT6ItkDj7OW5 mKOf3+3u91r725W8ztwDPI7nXn6vxmP4VrX7q71WdOcs76+zx9Rts+7KPrpu s+8unhO/uNTv8tzb4+nv4+dar7uv91fndcLtPczD6AVsjOa5wmP6brPW7rZZ z21s3MN9HdzPmOc1z4vkEn+7xmsZVPlmkfxS53XCM/AU/ISGIB6JS3I/8UWc wfvEI3G5t+dlb+ROYpbYhWuId/gSv4PPiH24YLTnhxvq/TzL7+JPU93POqa5 ZPwMz8G85CRsfYntQFy2sn3IDcQ49wL0OLkGfY4ex7eJG/LMatuthcd38hz4 EJqf+wR5HO2ARkE/EGdoemLtLK3hsDJj+lx/F9s3jMxrl9ou2BtfITfDRXAS GgIugpPOKVL7cJdAZ8Az8M1EzfN4ZD9reN/voKO6ROaWjio7Rd5HuNd0tJaj j3eG+Z3O1lHtXW/nOZhrqNtrrDPf9TeYYy+Vfaxfe/t+9HPsFnlfqvb3O3r+ nvZhcjRgHD7M2F6R+rrWYyvz1Lg+wX6A78Dv6H/Gwn1wKPz5EbovUtOgBeBx +A3N+LZ1Izppg+dYZzuwR/LERvczFzwIB6K7d7eexP9mex2r7SfoWO6U3NPQ 2re4byeP3+S5ucOxP96p9j7PsA2xCZxP2dMxTu6AT2lH97Wx9iN3oe/h5F4+ q1M9ts7zdLbN6TtK2BzJ+4+hlSJzyMMqF0fmkIdUHhppx2NU3h75nUdULonM RY/iz5G5CK5HE8D9nE97n9ENPrNTXFa7ztqbef3cwXcRVhVZ7ur66bYLNuH8 9/CcjNvZY5u6zvvk0ubOyyvdt8q+2sH+1tlro75YsXiy6jcXaQvuBuQv8jM6 u6K52RPcSn5uEZlXn1DZV7ipSH36ujUq/ne1fRlugP/gh/30rRsi8yvccb77 56t9VOTZtnAct/QaHvR5oyngC7jiGfsBZ8q6iXVinN9AOEM0APeAg8JanliP 1PJ3Y79IH20ZqQ3YC5wxwbwBJ631Wlg3XE5+PC7ybsl5Et/rbZOKBiLXoIPI x+SR70c+00dug9vI3Z2039mRv9uwvyttY2KO2Bvmc2Renl937BBTxPAar7Gd 5pkWOb6i/9oU3+m/tsYl/v7lenepeW+5ykFlxjHch6YhduapbWSkLuuh+vmR WgqNhb8vt303u63GPolNmBcNx3y9NPaiSE02OvJeir8tUHt9pOZiLuIMrrpT bVt8Rv2xTeSZcnd/NjKPcEd8KTK/NNc8p0f6xf4qx5qveqr9gkiNuKfq50Xq yPaqnxl554RLSvPJrmqfHHlmHW0b1r9e9am2w8v2EWxUp/cvjNSd+Aq+Tx6q VfvaSG3dTfU1kffPzqqvjNSV10XmP3LfLLiozN8auqs8N1JfdlH9nMjfb7qq vjpSu9eoviry9z9ii5L4OkFte5fJhbdG/r6AvyxU2yKhbeT9mbxObLL26WWu H3ssKdMmp0RyAfHEuCMjx8Lx/O4Jz0+PjFVir4nnJN+zrlFlrukAlQ9GrpF9 1Je5lyllcivnPa1MDsWfLo70Cfxhf9YSmZ+wPb6I/V8pUn+QQ1qqbZ8yY6vy 2yv+Q+5Bgy5xTJLH4KE5kfFGrMFhR7uPGLrNcQRnH+M+7l9L/Yz/zizTh2eU yfX4/UJ/k3w4W+1zyuTEBW5j/Fy1HVImx3D+I8v0gdFon8g8TS78xLa8S21H R94hWBe/Q8BBB0T+jkO+7qfynsg7PzqI3zDgSjj1PvMqWonfAC7w3Ft97k9H xhUxBd8/ac5/SuUzkTqJOyj6pd7nip5Dw33oejOXPBOPQzTulkhegl/vdfxu 9bfRFcTfQWXGIDExtsy4OBB7RGoOfHxMmX4+QuUD5saDy8zB5N9KnkMnEN9T y4zxSYyL1CW7qN6sTC2Jb37sNcO1+9oHiNHxZcYpMTexzLibgJ9G6pJx+HKk 7qn8po+f8ZvA8X7Gz07wM/4+1z6P/x5iH55sf8K/0PAL/IwmQd+g8/CFefYH dAnahfzO9xd4DcToCnMXfDy5TE5G33NPQO+j8Wf4Ga0/089o7bPNOdh1jm3L c505sI/XQz7t5jWgnV6OvAtx3u9E/ibF2WLvRbb5VMfDAn8bexGXb0T+fscZ XBXJL/jbc5E+h7/BwXAxPMY3e3vvta6zFn4jQV+ic9d7rawT35lv/+HcFvrs sCnvwAEnqRxWpp4a4TmwzRG8U+b/XtBB7fzdRt43/H8//Femrm9TZo4hv5Df tvidVmXyEVzE78RoQ+7/HdRWXeZvea1V7l7mbyW13hNarrF9me+h8fhfy1k+ tyX2NXQffWjFKZG5ijx1huq7laktmGulxw9R2/Hm63r7X+X3LUo0Bvm/b5l5 jt+eJtm+lXsj59lf/f3K/L/NQJXLIn83H20/Zl401IZIHTXD6+Xsh+r9EyP1 ae8ytfX1nnuRfYW8/XFk7uZecm2krhnj7/MN4oG8AYf/H/nBKPw= "]], Polygon[CompressedData[" 1:eJwtlmeMlkUUhT8XZkZAFhGWFXRXVrH3LlakKkpbpSpVULGwsSRWjDExxsQI WKiK0pFqp0ozxt5AQAUFdEEQG4iAgOBzcubHk3vuzPu+O9/MvWe2YkBV5ZCi QqEwAmrCjalQuAGmhULhc9gZC4W/YAR6F+xDH4R/0c8Hz+2Cf4KfeRl9Fe8f RTxO43oW9jD3HPRnbhAcy9hq8r+JLWFR8DeeQE+H79DVsB19NSzUs7AX3QoW B38z8a225EvR/8ER5O3Il6EPQX3ya8iXow8jPgxXMlY/eo1F6DbEJczv1zfQ reG94N84Dd0C5gevaSv6t+i1DIPX0N3hWfQCuIzvPUheD+rCnXAOY18yNwNa oR9j7Ggo1W8jH5p1SV7bI8QG0Wu8G85j7GvenQWryLvBM+h34C70ucx/hZ4J VeQXkK9Cz4E/yXvCcPQKaMLcTeRj0e/DeO0/Y42ITeFpeBXWMPch3Ie+mPna xM3kQ4jnk69Ez4Y7yM8m/0J7AVPJp0Bj9DwYrb3M75YR2/PstTCR/CPoge6e /K72aALPjIRv0GuhH3N9k/+WftPNWn/yb9We3MOzo/LzFcQ+zPVO3iutsRe6 Z/Lea4+6obvC9OA1V6K7wFT0Z3A9+jqYhP4YOqI7wGT0J9AZ3QmmoD+F5ujO /N230HWIF5FfmLz3c6E1+snova5J7AcnMXY4sYqxcaoR8mbEN8m7EB/K+nF4 NNeIakNn9BJcTl5MLIdDUCO5dl+AMfou+SnEoeSNtN/oMegaxEvIL01e6xuM HYMuS17bONUEcQVsRW+DBsyVJr87Wr9Ba0/utRehFrpucq+NhGL1fnKvjSJ/ ILon1AvFubb6KAbX2O3oM5P3Xp7TBl0OQTUkD0leo9YW8lnfC+uDz1x7Pwd+ CD4D9XpDni/KPb+RuEF7p14I7u0C8/uCe3yZ/CrX6wZ5RPKeai/1zHJ0h3xW G9Vz6LfVv+hNMBE9KboXG8LA5BpW7crj2sMM+F7eqPpCz4R1wXvQFz0rutcm wHz0gui1yFPmoifDt+gfISafgfb+QLB3hWQtD9tE/lP0by2FX6M9S161M9jL tkVredqeaI+WN+8O9tod0V4vz92Mro7+1o5g790Pe4M9eAv6l+g57cl6nQX8 Hrzn8uJ6rK8Q7ckHou8Q3R36xpHJNaNa0TN1kmtKtXQw2NtrJ2t5vO6K3dFr 1Z3xLnpe9FnoDOVV95P/HOxZXWGlzizYM09O3nPtdS1iL519sjfKE3U2bcmb 5DOaHe1hZbnmVGsDVJO55tTL/aO/pZ6+JfmO092mZwbCqcleJ0+5jfyMZO+Q 5/QmP4H8A/R4OBF9fLKOeS3NkrXWNAhOS/YmedKt5Kcne5M8aTD5Wcl3tzxu YfaM8rwnVyTf0bqbdUe1SL4D5P26c56K9gD1vta0VrUH29ElsE61HK11xovQ i3O9av/XoFdH94LeqeD7TaFlsKe8Hn3HV+d+U203hy3BNb4UvST67tCYvLFT tJfJIzvC4GSvV//3IP4RfffqjlOvyUMa556rJL4S3XtaQ0myp8nL5BHt9P9B cm/rTpJ3jo32Rnno/zrFOEA= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0TdOxFAARVETh8wQpqBAwlAjwVaGHbAAZieEgpxz6smxhxZBD0jknOP5 guLoPsmWZX/HrZl0W1YURRkaCTuPQkqpIEUNtcQ00xWuuXlOj6mzY3bsSp3X E+rtBnbtKl3QU6rtFIv2AUccMss+2yRdn9EyndZy3QrvpVNarJNaoptapBNa oOPhG3RDEzoWvktHNV/XNVdHNFuHNUfXwhnokP4wGP0dyqp8M8An/Xyxwgd9 vNHLO8vs0cMS3eHcPKeJTvuFVx555okO7rjnmltuaOeSK8644JwHWv7/2y9Z ZTun "]], Line[{223, 215, 195, 280, 173, 279, 174, 281, 198, 283, 176, 282, 177, 284, 199, 286, 178, 285, 179, 232, 287, 181, 211, 212, 148, 209, 300, 301, 299, 303, 302, 203, 180, 307, 147, 208, 295, 296, 294, 298, 297, 202, 220, 306, 221, 219, 227, 146, 207, 210, 206, 226, 197, 225, 224, 213, 175, 218, 196, 293, 292, 231, 172, 278, 194, 201, 200, 222, 223}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{309, 308, 312, 672, 663, 664, 662, 666, 665, 577, 668, 669, 667, 671, 670, 578, 674, 675, 673, 677, 676, 579, 643, 707, 613, 661, 584, 659, 583, 660, 576, 311, 310, 309}], Line[CompressedData[" 1:eJwl0ts21AEYxuH/uBM30hGtNjYZ7SjZtFNC1NikopZtqWQtF9BBhUIUY5jB TKhUJCqlyJ14LAfP+tZ3/P7Sy6rDVaEgCJ5xIC0IDnlOum8Zo5cTjHKD32zw lOO8oZZf/KSHfEao4QfrPCHMMNdZ4zuPyWOIalb5xiOO8ZoqVlimm1xeUclX vvCQHAa5xmeWeEA2A1TwiY90kUU/V/nAIp0c5SVXWGCeDo7wgks0c5dyDrPF Py7TSgZ/OEULEba5SRuZbHKae9TznzraOchfCrhPIzs0ME4h7zjDBLeY5CxR iojRxDTnmKKYOLeZoYQEpcxyhyRlzHGeFBf2ttHGBFEmiTHFNHESzDDLHElS vGeeBcZ5Th9tRLi411xov79dm6xhLA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0DlOgmEUhtELuhE73YqihSTaG02k0dJdOFCA84iK84yIuBE7f2aktuYk FidPvjdfdccWVmdXUhGRZW0kIklHzI1GTPLtndNlxskwxSJLzDPBDNP8+L+h m6yTZ4vEXtRtCuyyQ8O+rwfsccQhTfuJnnJMiTNa9gu95JwryrTtN3rLNffc 0bE/6hMPvPBM1/6mFV6p8k7PXtNPPviiTt/+5y4DfunTo0uHNi2aNNL/dxwC cqs6MA== "]], Line[CompressedData[" 1:eJwl01VTlVEUBuAPOKigYneiomOgoqLYXVcq6owdOKMzBtjdnVfq37G7u7sV 6RDbZ48Xz7x7ra92nJOak5edGxdFURVFCVGURmfSySCTLKZQRqdYFHVkFMmJ UVSiV8kIdYp6pEyjjArKKXV9qox3PYE4EokxXr8DScbF4TvGf4nUpbI9xbSj hOEUkUoBbSlkGJ9pyUda8IkhzGcRCxnLOAbzgeYs5zd/GMoXWrGCfL7SmjY0 YgA1zK/QfCtooK6pbijrkU0/autlyTHUpbq6wP2TjKt4zBMehud5RG9qua+P XMoS7nInzMOz5YwO36ea+/LVE42/cYWrXOQyl6ikB2eJ43TYW86QzvGwdu84 Kn/JY7IrE8I71XPkXKaxmFd6s+RspjOTGbzUPyyPcIBDHOSF/j65n93sZQ/P 9XfKXWxjB9t5pr9RbmIdG1jPU/3Vcg0rw/6pV8nvcq3swhZ+qDfLn3Kr7MbJ cLbqE+G3JU/J7pwnnnMkcIGeXCfGNRK5QQa3wp5zM5wlt+nFfZK4RzIPyAxr CWcZ5h5+C2HN9A17RUrYG+qEPaU/k6lPDguYRzPe8448mvKWQeG8wjrJpQlv GBj2IOwLy2jM69j///Y/5GKApw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1EVsFWEARtFBinuLu7u7u5VixR2KW2HPAne3BSsIbglWLBDc3d3d3f1M WJzeb/5KXmYmzR83IjY+URAEUb5kiAiC9CRQLVkQXKAD5+nIRUYzLHkQjNFl LKUGl7nCJa5xlZrc4CbXuc0tanGXe9zhAfepzSMe85CnPKEOCWxlC9vZRl32 sYmd7KATaxjPGzrzmi68ZQLZff6umk27aQ6dqI00F7nJSV7y0Ji1vh/NALu7 LiaWFuRzlp8D9kEmM9z1JC2oPbSAFqYQTVjnLIaBdk9dwlTiXU/R9fSiqOs+ WkR7aztasp/NNHPelDi7mPbVQzS3o5lmF9d+ejj8vHYM0+0S2l+PhH/TbsUM u6QO0KO0ttsw0y6lA/UYbe1YZtmldZAeDz+f3Z7ZdhkdrCfC98juyBy7rA7R k+Hzsjsz1y6nQ/VU+LzCZ8Q8u7wO09N0C+8/8+0KOlzP0CO8jyywK2q8ng3v YXjfWGhX0hF6jsp2FUbaG7zvo4gnjk7EUJ+qlKYgi2ju57P4vaxEkpkomjnP qJlIRwbSh8/GeRpNS0pSkyp8B5wn1xQkJRkR4bvmPLEm4a+dSAMa2b/5ww9+ 8ZOGfOM7n/nKFxrwkU+84wPvqc9LXvGMFzynHqtYzTg2sptdrGAlY9nDXqqz PLx33HFfthFJJjJG/P9f8g/Ax4jg "]], Line[{1617, 1408, 1412, 1416, 1417, 1418, 1419, 1560, 1662, 1859, 1661, 1857, 1660, 1858, 1694, 1856, 1659, 1854, 1658, 1855, 1693, 1853, 1656, 1851, 1655, 1852, 1692, 1722, 1652, 1847, 1651, 1725, 1688, 1709, 1650, 1687, 1649, 1898, 1897, 1614, 1896, 1686, 1697, 1892, 1893, 1889, 1891, 1890, 1710, 1616, 1849, 1850, 1848, 1653, 1690, 1903, 1689, 1620, 1615, 1899, 1691, 1654, 1657, 1617}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1glUTdsfB/AkY1Ki8dKg5EVzKEnfhIeeV4aKEhoQeb2GRyVEniYZKkp/ lKmElKEJvSRSlBsV79zbPN576tY5V2lO/be31zrrrM/aZ++19/7+1l5H08N3 235JCQmJHPL8fAf5xW0qU2Fwu7Jcx/XSAGxuUpHNmxi8eLXWnynvB2usFfN7 MIPKRe6nE+X7kdBS4hmSymA8WivDxOs7ZB6fpH0rGYzWeYQ5lvUh8PiC2BUD DAr4Bi6lxn3wORx/fI4yi2K7NX6h2b3I5aqWrjBn0d66t2piVS9KtAv6M5xY TDzK25Jb/g3rDSR8Av9i0aJaI1Ld+w3zzi7wu36RRWOS5KGCITE63A7qatxn 4RPL22RwVQwJu2l6Li9YcO7EbdriIEblsk83Sj6wmGfhbZM0V4zlkQm27nwW eetULWoesNBX+ixhQrPILSx5sN2IRfBi9SjzARaOsspRp18yiF33RhQyxCL+ 7NTylekMlnT/+yZ/hMWqkx2p0lcY2J04IsuOsbAy2N/Rf5qBxZfHNRoTLPLl pzoP+TCoslHK3klMmeucnfsHg4x0l7OxxP2Gj7oNvBkkx4RseE+cbBkTb3uQ QVBW2KJ2Ym3/T0d2ejGQ+K+JceC/Rs6dzRTJEPMDDzkc2c/ggt7VrxziK2zh 1jP7SE6rm9PMiI14Uw6neDCIvKXou51Yd0d48Us3BqH/szD2JU58ZehI7WEw aaFwzd+TxPDLCzaV3MxA53107BVJMR5rr329biUDF0pP7e5kMUqM9CtSdBiU ptSJsqTEELkaa8vNY/BUPuyphrQYk22SbHbd7MGGQbnhhXPEcE93fLPUoAdh 957U5CmK8d219Ven190YHTiwrYEjhvZzXa9njt1oDbSNuKohxhHOjuOqjAjx C93LvumI0TC8z2/USYSWlkvPXPTEsLhtemZuaRf60pUmvhqJscS8PPuHRRfO eh475LWM5K4zGrEntxNLyuty5M3E6Byw/Ny6rBOJZk0ZdeZihAeZcK1e0Niv v1hFsFKMisUvbwvn0cixXirYTFzteGP962AhTjilJqmS8UlK6geXtQtwa0Ki ztlUDEGy9miRkwBFyVknFAzEKJuSMLnnUwcS3Cr8dy4mdeibWrDVvgNhEVrV +upkPtp67OKXdsTWJ9jVyokxXzrTqnFpO5m/2jyE5Guie92h80IbPvVobeij WGTeL93dPtyKPxZM3uuVwWJXZUP8fN9WuDhsf6gWwuJiQpTp9+4WcCepZrqv YzGsa7yiKaAF3nZaM47NZGHtXh3nJtECxbCUt8b/MBgyDX8YHdKMQaMy1oHU VffytDj/8Sbk/fg66ivL4PqBKqfjnCaMmG1tl3nWgzmp3qoDto2QDG89nbel B0trt7mWxTRgzEyvqUfUjaKdk2i2vh720h5Zpme78VpzWCJqdT00Hy9KVhoT IWb2uENvRB3WXomxpf1E+MYdW5kpqIV4d7D2ubYuzPghm7V1Vy3KM7KPVTl0 oeTWo6rrbXzIBU4aCXvXiYI0n90HQvkoGz8dZreiEy+LhuvvLeFj2pDMYn46 jd/TswK9hTxMHS2/s4ER4qnJv7FJ93hIeG1ycYG5ENfszT9pnuIhY0jYZB8h QNymugUHfXmYO2Q8dJ/fgfsRyhv6jvLwRn6h9EeTDvBEHM9DcTy0F/yWbx7f DiMV7pfI1zzwb81PsxtqA19et2K+JB923X1TdCzbUDPu9nWqHx/75NT0P8e0 Qm77wk8bh/iIYxstvIQtqNCWGTuaVIuO9mLuV7sWlP7Zu36eXR2Etoa/NBc3 o9H+ZNllxXpsCc+30rNuhrS9FNeWrYfKY/2guPgmvJPI8w/82oDTpx7u3Ptn I6pCB51kNJvgad+l3+TTgO0lmmOxls1wO6n9QaeoHh+rJ2Y9edMMF7O8VbYL 60G/cw8r3tiCgLp3vW0JdUjWEs2w5bbgHJe+mahch7DbywO+2bXiXKOl25wH tZDMOT0U/bEV6Yo2AvlfazGsdslDYX0bMh5Nzj7M8KEr1VJQlt+GU+NNzeEX +Pg8EOG917odevvChMqr+PhDZ5BTVNiOgM4TeVb9PFwrXq5+ybAD/hUtH6Lf 8uDhu/+xa3gHQmXTSoKSeLhfKh/pWdMBm4pjb/EXD8HzFP4Uqwjw9t1fz/W3 81Cd3PfvfmcBFoTebrhlxoOO5tKRZfECrFNw1pypwYNjUkMvVSKA+VTX+C5p HlLXP+d9/CZA+uDUvLe9FF7mtuSL9IQYNahYfbCJQiF3VUb4biEULf0/vPhM 4ULxNY5puBB+Xw7wuO8o3NOtSvFIE6J6pdmUjkIK0+8GZTkWCZEZxkZ5Pqdg lOxkoflFiPeDuzrLcyicGZQ6/6RdiMT4vKycZxQSyjU8P3wTokrBZYL7lEKo uVuk3JgQL7bKTtQQ7wlUd54tRcNrn19NLPk+1qZPxXQmDa5skAk/m4Lyjukf amfTqI4/6nkul4KzvGPEFnkavLDYlKh8Crp+wSeqyP30QuvLi8IXFERR0s6X FGnsSf6goPwPBcFDZs8zJRofhJ/OFxRRqJo35WmUMg2f95kf/d5S+B4boX2X +GNwpb1GGQVNOnnUkvj5ClbtZTmFjdvzZ4eR8c7eouemlWS8t5HRRTI/5+b0 qIgqCrWiHJ8QBRpSmatLsr5QkEmw8XUk62HqTe88pCiMvd66fMlcGqOm0S+P 1VLgyFx1kyDrn71r/Pr8Bgq7B5epN8jRUJRROn6F5JHQl1T3VpZG0Q3jodYW CtcCuQV5ZP8+PIuBGe0UKs7f+ZEnQ6OpEJdsBSQfpWTH9Fk0Drt7n9pDU8g+ +/3OA2kaqXefvNvYRfazUfp6ITnP7FfW9rO6KcR7bE1tnUFjx+WR7oweCpLv N39XIlb2nrV5CUvBQjLxnut0Gg2FVtsEYpJ385rNZ6bR6NwkyTlK6kfhb+Po wqk0FMaz1Ov6SL2sVfCbRczLVAiY30+hTq3VwGcKOa9pE28sByi4H+mXb/yZ bx+vVGmQgp7lUSt/4hnpvo+biHcv7KqRIV4UEq2VOETB5PKM6dmTaeBJZZrl MAUznwB1N+JC1fQRtREKT35/6MpK0giN1OK2Eev7dVhdIK5W0WAvjlLYe252 hxnx44K051pjFN4NOzzomUTDXa95Thpx7jVnTiZxSpfBUMgPitynw/Y2xDac mzc44xTacjhzeyVo9Blmb7xCHG61rTKX2LD7VSdD/NQoLzKKWNuodsxkgtRb y1DQgZ/9a5UVDxDbllozm4nXHc2x8ic+P5y0ewNxosbOa8eJx5UiDW2I26Cy PJzY7mOlx2piNc+gBReJM0fXsubEt9fec0sklp7dxV1GvAaDAXeJT97UI796 NP7p6xZkEde0cmN+If5tYpP4+c9+ZadILeLO/tKCYuK/9t/TVCf28h/2KCU2 7Z1fOZ84VV/naTmxsZdCuipxd+PAo8qf64te+UCZePlJPl1LvNjxYIw88eEF nWrtxPMuB4pliJUN3WaJiA+yZcdmErsuybcWEzOhKU3TiP05n/d9Jx7hxHGn EPstdgwY/NkvVfOrFPH/Af7W1Aw= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak0VV0bB3AqDdcUjTJnKtKgiQb/oleRt5RGKWSIDJUMvdUXaS6KBnkp qUxJkkpoMuUiQ3c8JTcz55Brdi7Cd75vr7XXXr+1937Wfp699tY+fGyn+wQp KalvTP/fKHSr7WcNDmJn5B0Dx1uD8GIp2zT/GcQP6adCLedBLH67dXiBKo1h F4fmHVED8EtzCaxZTaPkne7vgOp+XEvTMhveScOEML6yUqUfj85drcv3osG7 li1YFNoH3S+cItsQGoWrAnVfiXvxuWBOVfwdGq5jt/103HqxVkan6V0yDVtL xfDBuh443P7ZFpNDg/V9dXm6Sw+MZQOKLcpoKA8lCgRkN7z2XX1ow6fxwtRs Qnx0Nwb2a23J+UVj1nLrQ+VW3UiNcVcPJ2l4F1YN/dPbhWnGH/4p6aEx3X6b +psDXdDPn/fxyDCNBR5sR8UyMTZlzYh9PUKjTnsw+58sMRwrbfJG/tDoLkq/ 9ydOjAuOehobxmho5k6suH9JjMvDU0tCx2mk/flkvPWYGP0jFk8SGKtIv36q 5CtGYo04IJ/x0XOsvd+PijGWKWdez1jGOm/zI08xXNVNtboZu9V6VIcdEUPq /00Cj/83MbIzntYqMn5zJ3PM2l2MjSFN2ZqMpfu2Jhu7Meu3xXmAsWmq9swB FzHsLxXJOTGWylvy+YOTGGw4PjvH+MFU75SLB8Uwmx2dmyMtAZ22QOC8WYxL K1cpdE2QwLKyO2fXMjF+yCelaE+SQNZ+wwJnVTFGrWwv28lIIO/4UxImI0Yb d9vcP3LMfqvpn0f9O/F7IMBmZIYE7QMh8842/0aCSWPatnkSmJlyxqr3/4bb TaPqQU0JngyfDKziduApi7OrX1eCc9JTjm7f3gEfy54ocyMJMv1sRM9vtiN3 ucawzFIJnCd5ufwloFDrT+r8vVyC1yqJZS/nUziVZPtj9koJ0hafGLoaRIKe HDPPg/FJtSdpwd/asMf+mJb5CgnWvF0UbLi0DcUsJe21TLzqOO/IWw6t8AyT kw9cKEFrTEQy52YLDsh//vK/8y2Mvai3o6IZ1+ssZlUw+XQvESaEKDdD7tDM TGkmf9WT/CCRcxPe+vNWJPXR2BskLKOzGxGp17jwSx0NP+/iYo+ZjYBGWQj3 E41rMoQLVjVAqkBgI4mh4eLteuOOez1Ykh47bz8aDyOdvKZY1sE5WTnSFTTu e/HzIrki1Pc9J1XlaPxIuBB/4FQt5m1R+8DhD0JpTquL9vKfmJd7/Hzxv4PI iDgWni1dgxBj37S2rYOI6WrJy3/8HbGXrxcYDg0gqHPq3EhHAltOdufKPRnA tJx1Ax5LhZj3fsM9uc0DMB4aOZGiKkCYs5V6KtmP8sp7ltVqfAyNPXjrcKUf Uuat6QEmPHzz/8v2gU4/bE5Y2m86wEVyb/ltpZQ+eBwX11zy4eC5qEZxz4I+ RLuJH/tGf0O2OKJLN7UXVeZzJ07PqEak/d/6Rga9OF8z95ny/irYSXuWTE7u gebqBdwYw0r8ozz4yUqvB+wS66HHmhU4pxzafzSpG69l/GwDVn4FZ/f3/JjR LkgTD8jgxeVwvF4w/j5bDE29vtLte8tAfV7fkBHciS5nBe8Xz0ux97rJYMzG 32hRNu1sNijFRw2K4zKrA2lXi++IStlgsf76kNNHYU7FUN6EcDYmD5WrqIlI DG1uP7PyGBuLXMzLkp60gXYfXWsYwMbDXwc1D5xqRVhT2imbx2xAEvNo+6EW aFiHNY72s6G8QeGE165msA+ejTPyK8WRiHW/jjo0QRSj5qcjVwZbluy24WON 4IqoLVerylAetbsu9W4DLBRXXFz7thz5y5SerPtPPaytOe8OLq2AnXHRuhyp OqQ4xM/27amEyeya/UOmIjiQG3YlS6rxZTQ0SCHhJ8rD/F0a5nMgUp/cUGhS g4CXqqlsby5E3VpuZOd3ENmnyWIBD2E+onDnKgK1+7e6lRwSIJL3dZcORwhf 53OVZRMJOKfrKm3qE0D7GTfnW/53WK4RmQ8sE6DhWNRzKrIGvsKVETeu8wHu z3Y7v1rUx25yCB3mIWhDlnrqzl8YUBx4fTKEh7TjXIME1XqUpXyqMZ7Dg0jH w+kdqwGs20NmCZ+58NiYFnSirwFWRk/KWoK4+HjtktowtxFaQyk8i7VcLP39 wasruQlRj6ClK8tFWZhSUKBvM1wrN0ert3DgJX1htbleC3wa491INgezBMZX Lle2oDrXvMo5i4PL640Pszxaod1U9+bCUw42R+2f3yduhbzswlHvWA6MCLnQ Qs82+J2VzZSO5iBb0axmQnsbejdt8f1yn4O9KidPv9pLQm6G0Zq0eA5qC16E FLwmYZbjf7viGQedy5x2r5KiEHGWHe2Tw9Q95LfcVFCwDPyrhizjoC6hfGS6 P4WaB6e/5oo4+BixtGdCHAXvJ/++8+3jYJ3Nae3D7ynoXc4/NJvJb7FaZmwH n8LVOTUzR3W4KGTH3TYiKSwdTIj7uZ4La4MrqxcPUnj+dbN98D4u6NmbXIlx CvGDjTaPTnIRXTns0ibTju7t7x8b3uIiNrgraXxqOwxPnTWm07hQ2lBunDKt HXdP2ziQJVy8OC8Vuo2Zf/jIsNSH5MJHtnswalI7WB3Ux4ZpPMjv3HZpfIzC 3eOXSoyMeFiw7adknKZwc1tb3ApbHnYVhktauyg4dpQatPvwsMfOcSPdSuHO pOJ36yN42D1fNMNDRKEwJc9B5wUPKjXxvQd5FMJb5weaVvCwyUHlg0YZhXTh hpFv7TzsiOzLTv5EIZFM+dI6lQ+NipI/rDcUeHdv1Qfo87G68lyY4zMKe77G 7Au25MNv5fLO1HgKZ9x9lTqc+LjQv3vtyB0mnoNJYuUZPtpN/t7qeI1CY05R ffRDPg4nnNuy/SwFDfpx8ZlPfLAUF2b4HaPwQrV/+PQvPjITFUoKD1PIjYxg 3R3lw1ltbvuOPcx9We9fyWb+xUTlG71aNhT0k7wOzjITYLZIPny5OYV9t9T5 6sw7Mkj+kz6+mMKjKazgxPMCdESGpGzRolBVt64246kA0xxeLlZSZuLNOvKv ZbEAXv8uy3GYRKG4w1f9aJMAPj/uFOnRJBYv8o00lBbi+c03sv7tJO5nennG zhdioaZuz/RaEgaGwz+XWgjRm+8z26WKxMXNc+aPOQmhIX/D3qmA2b+dx5px VohETl7dlLeMdT0FodFCnA385rvnGQnJcOG+pCwhHlVc6q14QGJa4vhEokII /Z1ZmXJRJFpHL4qWtAjxlP01X/4yidvPpHLLRoTwl7frYJ8hMYdtOO3TdAL0 nvYiE38SFtv5eZOXEFj/qXzU3I3E05c6LR+tCfBZpycJmPdjYnqlGy4EBi7G RXFtScTuCzzcFEhgYcS+/bMtSSRV5e2TXCHgjj/hoWtIeJZvOlh6n4Ci6SuT PhMS7pOz9TuTCbQu8bR6YUTCa4XdlO7XBKyqVs931yORqhplr/KZgELGsNmI JjO/5sNgaimBe6suL7JXJbHFylKb+EbALvbGQ/s5JK4dj4wT8gmkmltoHJpF oujEr+LQ7wSqSldkRc0gMXBGJ6T2J4Hj6fY6HUokrugfN+j+RUBXweTUkekk rBauiC9oIBCzZ6hzoiKJZX1Zr8aaCDyG0wpKngTrjBdXqZXANbWtnY1yJOwz rSaMtRFQ1lmY1iVL4vyUO/IlFIF5sckzFRgvTz1o2f+bqZfRhMbT00i4HRFX Z3QR8HmZGqI1lYSd6rtfMr3Mf20foUJPJkEm3g+e0k+gXGxQT8uQGIkuTf88 wNTfybVLjfHtzhD9aAkBj1f7V72eSKLRLKPq6TCBuDPlhi8mkFg9ta5QYYTA 0fee34MZh4bMdD3BuGBKfaIVY33OwN4KxnHsok0qjMMczUy1/hB4pEce7ZIm UTZ8OcqX8YnQqd9KGd+YdrD5DeOdv06tSmJM1Vwzb2EsuWYxI4Kx1RshT3mU gHS95Y4gxp1WyRXrGbcX3qt1ZqybsXK7B+OsM/pPbBn3eF4PCWcsWaQQacY4 66FbWTXjq1Ld/XMYb73qIpIdI3DDs6B3SIpEs8XO8xsZX/KSMqhjfLP5ovsJ xq65P8zYjE8NpU9mM35p+vH4A8Z+0ac2s8YJpAx38k8zrvsSL7+c8b7DkwI8 GPc8qFLazTh9StjJ3Yz/C2PIuPM= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFVXk01P33p1So6LGVR/bHEpIo28PzIkqRFqJklxRRWmihVGjRgoydMXYz CC1SEbJkyzZ2WjDVDGM+WYui33z/+r3Pued17rn3vs7r3PO65y3vccbm+DIe Hh6CG//Dov5ffFww+XhQXvvSpQAMF2zObylcgpr1K3HSq3NYv3vINNNwEY03 Px/cv9UfZ1ddiF149AvrnXvXRieewkcybalu2QICcyK9FRgnoM0S9a5Q+Yk9 Sl/7F208oaSiJql+eg4t/jbbiQJ32LyxNu6mzyBOFxeH3F0RkyEvc5BnGtXk 6mGpVkfYllabJthNQk8y+WqStQMKBW32bB/kYNWViBFZHEZ3GYNzOHAcjmPC Idtk7LH2ZdTR/NZvCLkoNHbumR1mk2se385kQDogv6tQ0x43et0p/oxh/Gd9 NPxB0GGsZ/V+UFz5CZLitByxdAfICmUnznwZQDhlZB25zAlU9b5Nr216sVNY e5n2RTcorefzKTfownUyw7LG9BgaPG3f/zXUgedOLXkLnl7w7m9qzL3XBh0j 8xP6R3zgWjXkaf2hGYBYSPC+MxB0+uF5iNyAuznqd8/VnoO4dajMq+o6WB0W jNUoDERLotyhFUY1qN2+8Dd/XBCSB4ucNyyvhoFH39n2z9cheMU2ZA2tEgYf xePj1oTigLayzPnLFVAVMhZMuROOsnzvm05nX+N83fcnj9zugFHW5/3z4UuY +UeZ9KXfQ7D48FVa2wuEvJu3LXCMhAm/YPTKraWovmAfVtYWjb2NoXWWPc9A l/A/H7AYgxFjoXDyo6e45GZs+vtcHNjlo9pxnk+QUbpDws4gEXqDrQIfLUtw k0T3jTqaAtvAHVH65sVw0KHQhobTkJSTRklXLILL0B551aPp+KGjWE5rL4S+ BXuqbDQDe9r7BGsfFmApyOmXfVQW1qUcK9N0zofpAF/mN48ciEvzT237l4Yv 40bNIS55SE5ZZyYoQQP9Sl5lfVYerjmIDMhPUvFCs/Bc93ge/hg7HQpqoYKc Ifq1UIeK1L92HZDIo8Lynq60TTAV9zeo6wRmURFi93ZFeigV14cfl/dQqFjt +WRxMoIK/dgytl4qFTnv7q/Y+YgK5TbHxyeTqUizCV9LxFKRlPi/9/+oYBn5 vDmeCnc665QZdw7N7IVFbt/Q1N9vJ7i83z6c6fPg8jylugaacXVsrwp0bHhI xR71AsPkIioEOpmhmveoEDS6JTxbSkXXQt2D/Seo+LBCw5XFQ0NXVFVzsRkV OhqD3o+taPCyE/p0UI6Ku61LxrviaWDoSnprL+bBbr6feDJKw0FRpaptfblQ pn9WnEoqRFeZQEhhbQ5avgn1iVkVw23dgaGa6mxE7R2quz1RgvCNLYa01izc FVOhv3/xFLmmP0ipY5k4L8w6+qfgOQ65HW3oM8iE0X/v+R6ceoFwC+MR90cZ SLValSdi9RJwTosYmE6HfOU2irP1a/icV5JhOqfjQgjHUP9CBVbePXhBp52C EtlwJc/qSsw908w9aUmBWMVBXkupajS+uSKbUZ2GO8ozu8W3voXXwtTN9J9k 1Oosir2xq4G0V0/VRQMyujjlKbS7tTgXERPTFpoK0y0h+rrv69DGsFxp35sC yddvA4rk3kEpwqDvl3gK+jQfbGI2NOCnQLE0xS0ZllIFD43vNGHMTFG7pjQJ lVumX3W5tODzFl451vokzJ1gf8jd24rRZpJfYmgiIpYGmqpU22Ey1zfjMp+A pb+sg4N1OyBz6ZmKqGMC6lnx/S9Jndgm26fR0RQPhl8tTXR5F9xtXO63WMQj XHeW4nu9G3PJoV3oiMOnYxN/u6/uxVh3doSvVxwyolvIezL6cOGKrXryyjgU NHt8g9kAyvV8qn2LYrFO+84GydlBUKhiilYeseh/59fyruADsjvEmHdlYrH1 2fzqshOf8C5a+nbYKAlfnrPLKdGfofDl4klyMQlrD61tcTw9DL0PYZM7wkmI SMmRqdg9gjPa9259cSOBbLnvyU3ZUfyKzNVj65Lgl+fn5GDLgKhn2MANSRJM PRx1L13+Al1pA6FZARJIWwqpUo5fUd/UsWcZLwlibqOtHK1v8B6NerV6KQaX c7xWqCx8w8bSQeUbPCTsPrM3zbyUCRsn8tZPq0iI6lQOWHuchb3CRPRjURJy o02uha8cwzLOWfNQRRJsc70XvySNQYWlUf6Lq2fre3sRksI4dryx+uuwPQlV hv9ZStePo6ArfTNxhYSZYsqxzXZsWNrQI+WySLjq1mUQ3sFGVF5YkEsHCZKn NLYsGE1glZSGstayWKiUhwi5JU5AjWmmqqkbi5bvJpKXmRNgEALaPH6xsFcJ Oz2uzoFzxt1ljjmxGM2orzU8zsGZMoX73UQsrIyefHqaxoGU/N50F6M4qGYX OWu1cbDy3sxo9r04LNaIdMTPctC2mirs8yEO9v7ex2+JEYhOCTgcuJXrj/0z KnabCSy1Tm+j3I5HUK3IGwVTAlMNQfF1n+KhKbCcPniAwDnvhmPNBgkYVL0+ sMOZwLWPXbopsQmYbtk/P+dF4Cxq3FSmE6D7dcvKK6cJHJfnF3KzScT2kOv5 2y8QOCFLdbevSUQUzV5C4jIBEb+BU0G6ScgwyWzzDSbAJyyi0JCfBO1w/asP rxF4VLs5XF8xGRmjgQYVIQSyVvEvb05JhmzbH5LGdQK/XkjNh2zg3lcJvZKP mzsFaB10iEvBcUP3Fce5/d7iOSW/xVNhrEqO8+Ly8Q7JJzXEp8Itz/e71FUC NnWZU9VSZEg7rn8cE8TV7xlswUknIyddeVM/V1/Yycs0W7U0aBmIb529yN3P lEvSz2dpiEx4ksQJIDCkVPxjUo6CtNUzRU3nCVQXJ2QsBlOwMD8W8c2fgHSs 4sjsAAXrTSj/DvsRKOxNqh8xTIf9+9wj5T4EXh7YHNeSko7GK7tkg08QWMix q3nNk4G5b97tCp4E9rn8ZpR5ZeC/8DU/S9wIpL72/UfuYwb2RZnsyXYicIFv ycrmSCai/ft5g48QGP+y+NapOxNydAey7iECN9XrhK3tshDEb2LdvZ9A6QZ2 p1ZfFmwGSXxHrAhI9Az3B1zLRnCWHyV9JwG5ob0N/ptyoNbz1LcSBDa8Lxr/ tz8HS4OM7GIDAsupU5mTD3IRbdvrc0GHgPh07eECizwsfX1fL8D1zw0e5p2j 26g46iQS2/8PAZKCtbHQJhrWNDycd9lIoF7qdsdPpXyYeflMxoty6xX31azU C7BTocf/piABVb5LUharCmExqNbWv4wArayfT4pVCMemAeOFBQ6IYwO+n9sf 43iuYcrIFAcZn4fti98UYeEHf1P0GAd56xeclKqL4WIhovdmgIMuA63v4YUl eD75frNcEwfH9egaFVlPwPJMWlZSxoGWm3wNf+5TwD1mp08Odz4psiDt2TN8 MJVp3BnDgYXqaLr4jeeoWqQdeh7GgW3MzgeVtqWosqNM5gVwsOuJyXqaxgs0 nCCnyXhx4MrR7fi4ugw/9piHidlzEOh8bOrYZBkUQzSn7+zkQGLW07LD/xX0 g4op9Zs4mPOIVs7iKcdfCXUEbQ0HsdnB+59RKhApPRGnzZmA6KYxt5cHKvEw R8fEqXUCPBInBf65U4WNDEatauEENNJdb658V40Sxwfnzl+dQB7/bXte0RpM FLBldlpN4HxBIW+XTy2k5ZcrvJSYwBuji1enW+oQoBs1OPuJDd19UoMReu+g N3x/fHMuGwGZTNuQvAa0DvJdoviyEXKaLLwk2wizuQCeqw5spP8zK98Z34jh +yVK23ex4U6iDH0RbsLTWEZbszYbht8Zsorcfyw1Im7RTJYNJ60Bj/M8zRAV Vm+mrGbjUtf0cvXYZqR/2BSgPz0OVkxYW/GmFjisqwwvGRhHTWund19FC8Tr s0NF3o5D+vBN+YCD77Fpe4i6B3UcrsdWuZwVbMXNCfaMbsQ4Nr/Y5/W9uhUv lAedBU6NozzfNTXxYhtO0T8zvlmNI4NeNBch3o4dB7qNhjXGUUGdbBy0bwfn lK+MnMQ4RONV5/zi2/Em7Xl40J8xhJv3BG3tbUej6R/7eeYYJvimWRISHQhr v3E6rXMMxqZ31jqe7kBb35+QP0/GYHBINu1RbQfm79P1W2PGYBloz5OwoRPm ruI5UgFjuOxdvLTbpxNyCpVyP+zHoL5DcuPtl50QEf1qfsZgDIMqNYMD3ztR JTVNzvxnDG46XiLdynQI6pIjt60bw4/MePPTjnS4MqwfKP9mweft8DrKQzo+ aW6uvMpkQdVLUOt4FR3J6a/mjbtZcJwx+jgyRwfP9SY6bxUL4wKcy+HqXdjN Dis5lM9CuIacu6VLF7LPhIUaxrOwRjGUohXZhZz91tmloSzAs3lU/00X7u3Z OtTsz8KqNvG235+7QCv1TXzhwYK+qOGW/GXd6Je32fLnEAtHkkbEdil2Y7yg ST3TggWVc1dWtO/oRq+88HimIQu3pR7OWLl3IzT+YwKvJgurJUb4kpK7ob+d 7JcpzkK33p3Mlo5uDKrHXixfYqJhV9ciP18PvOeiXlmwmDg7Vn/7knYPRgYe 1Bt3M5GsWiq427kHpCHTFbFvmbhuprn9dFwP9CaOertTmUjIjrfObejB74ha te+PmCDfu5HpNNCDY8aRUTMRTDBqHEXVxnuwUTPowZFQJgwm/AY2/OrBqtVP /5YMZoJ9lrFRW7AXt8Qd1HQCmNjF6B+4tqEX+2e+5mWeZsI+adfJMrVeFHaa 8xp7MZHrg+bUf3uxgmfv05MuTAjlvuYxt+pFXGfGGtnDXD5qo0mlQy96XqZe OHKACW1XVd+gU72QvX5Vnnc3E2leC5P0y704uDagWN+UyfWDV+rArV4887yf zv8vE/8HHrhpdA== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Hs8VGkYB3A0ko0mVkm5LmXCCltsuTytqFEjtJFrLG0XqWxFlkqKdJMi 3VQukWyaUC7FRioq99HMvCcRss7MuIx7krRPf5zP+Xz/OL/zvM/7vK9e4L5N f8rJyMhk4fP9LaM1BUGNb8Ei0NHYN3EclG7vta6UvAWP0Xr2FYNx4DxVtpf8 wIdSs+wcVt4YNL2tjVpuxAcfhoua1HoM1Lc5qNxh8yGiazpQp2UUPHWTLjeF 8OHaOhOTNp9RkIz+sbcukQ+K/KlNl/pHIE8aK8kq4AM39NtFt/gRyMg2frWN xwfd0tR6e9YIaN5KXjV/mA9MP9v0gsZhqJyad++FugAcCfwREzwMCnLtHZ+s BWCpbjtuozwMTzcrq1VuFUDzcON7hZIhGJ6bmGRyTAA6fU3bDXYMgW4Pm7ch XQCaHv2nBjSH4E/Dwt0R1QJIblCaaqwZBK2o30KaJAJQsmU85v49CEYjMcPB ykK4ajmyp8p8ELgZY3l+pkLYc26ffkW7FGI39k2UOwtBb8l7XneQFA7Sye5v 9wvhce7+ESIYgK68fbziFCGcTsp4yPQYAJX3N3pii4Vgf1JGXaejH97bSut9 +UJ4JtOTxDvQD2HqfuXew5jHoxP05vbDqctF07QqgbjDOnd2ZfbB7+XRdxaY E3h6puXneLs+0ElsV1NzJsDbHjzl9bEX+koXVk9vJ2CWpCbbl9gLSm2yzSSW wLwJE89qs15oPh2U0ZVGgJHDyP65VQK/0BffbS4l8E/y/V3jCRJYwMz2CWog cNWwO0KfLYHFFTfLbLsIGL/L4rTNksBnbmsRc5SAfmKX9e5GMQw07jwly6Dg me1JLdNUMWS0paz7VZWC5mgb2Ru7xTA/4eZSgTYFF7KTc21Wi8Hz2DdJiCEF r48skGnVE0PcFkMdq2UUKJmIBo/Ki+ErQ69/tSUF3lkc3Rm9ItDuPvs6xYaC ndTBE448EZx+8lfsansKDkPA5yVlIohxGdp4bg0FrWvVDR4VieDXwPJLDQ4U OC+6vcYzXwRPnQsjFdZSUGGcOaJ6TwSPZRUWW62jQGpuzvuYLYIKpqOcOzrY 09Q1AK1+yfHVfnT85m75tiwRSLNVDl1A5wlWjXihux/dY6ehTcxqDy1Aszsj 1bjorFDbH4S3RWAcG99Zjt5inROdgt7If363Fj1m/U1uM7pA/paxGL1nddzi 5kwRFHbBlZlsCpbq3oveiDY5W9irj35y1lOlLkMEcZVZDg5OFLz4KH+j4oYI 9jpoFvusp+Byy2+hr66IwHK6MjB4AwXTP9yx6EnC+khXSCiHgj8erju94LwI 3F5n1Z90peCvPVsDFSJFsO3VyxT5zRTMt87X9tshAl9JSNm4B9aXU0rJeIhA //gv6UFeFCzbIsltdcR6fkyf7+5DgYbUKYpY4nqjXcND/Sg42zd98LOeCObE yh5P3UrB4ohOhhsT++ftO1eKbisbKM2ZpmHPnLtVMWju7jfmdVIaClrCrXfi 95ZhEWuSumj4qSpgfRHmR/a0uPIENDy+vnTC35OCXPGJhs2vaOgY/GCih/Wu FJTstCynQd5FUarjQkFIdNpXw0IakqtVfY5if9S0LvG7c2kwnVFg6Y3zsPoR U8v8Ng3XWKwD9Tg/BaMJaeQmDUcOL8scWEGBtYVG0f1rNHA6cjmVRhRMjeY4 G6XQsEISZW2lQ0HL/S7brCQaLhxh58f+iPUeO+FXeJGGaNV/QxoVsB+zNCqm 0YRjl7piisB5dovpmmQahM99/mwYJFBmmrB1LeaNHNG3v/cfgR1/7btFXaHh v4lQn0iKQFWAZwmk0mDkFrzl33oCYzVP0mXTaAg9U+R9uIpARTmH9TWTBr8K aVdZCYGAQ87F6jk0uPIeZBy5T0B4mVVvc4+GHG8V42e3CTiUvWz2fUCD7cO8 6NjrBIrdbzJDHtLAMiyayb2A94FC6IvOEvx/e1JYaDyBDYzJZFPsZwR3tuXL owTeTXq0cyoxX5ZlkR1O4LoGcV35AvubyVRX3Id5cnc3DdfQcGLaMF68g8Ci PvkLh2ppaE7zG1XxJ+CS/eZ4RyPW0+8fM+VBgOO4KW2whcZz/VblmguBxOBV 2/KENDi9t0gkbAJBye5yGq00BFxPn8izJ7DyE3fUup0GsbNRoKItAaqcUbmw k4Y4XsJ7OysCzMntfOVuGg4a1DjPsCCwZeYT7dIeXM/z3bfZPxN4tiL5mK6Y huezr5nJLSUQVW3p5txLw6ZcxQSDxQQa5up4O/TTMOab2RHyE4Fapuqd7AEa MvaPvxDpEPDa7360D+fTOanU9ZIWAcs5paKFQzSYBTtJdi/C/PyCKothGm7U vYnXWoD7vb5X/cMI7tfpQG3Ledhf2p3vMUbD5zd5k3fxvk5pXHQ+fZwGdtOn T8FzCSj7WzOqPtGQFqQUsH8OgRb/ZSsrJ2hYuO3UbOXZBCqlS26FTeI8ciYn D84iMKXJs3n+hQaX14ele9CJ3Vurq9FPvD6Kt6OdbEY4b9C9M5dK/NGcfy42 1aOPtrMHPdEJhTZuzegNw7ZTbug6wXjDWzQd9lLHAT3/S+KLVnSce7i3JXqC G8XtQudGmOSx0Okb6s6J0RXL98a0KuD8hlY4zZ2ioUQt3Owiutiu9/IKtEuW MM0J7d/2a4wX+seI6hkfZhLItNr57Tx6vZB5NhJ9rfjA9mfoPuOwlkXouyMs 0SDadqTmZJU8gfHnJvlaX/H8tWone6Gf2Mm7bEIvz5XVnGAQ6OT9bXQCnePp cPUmOkPKj89HF/dFn3JC65/YlfMObbVqQ1npDALJyg8s9PH+0ZUzUbBG/+u7 ixWILq8cENfL4X5ptdVeRa/tj7Xahx4Ie7T8FdpuTtAsLfT9RzKeQ+ii39cU 1csS+DjgPFvjGw0SpzrGGXRweaZkFdo16vBvrmiDofDmLWiVq8JxbfS78HOR oWiv1I6eURkC4RvXxMWhPdcmOVV/97y9ghvoOZ9/SUxH93Og6AGasf6K/HH0 tw/aX56izbOq1u9C3woHr1p0VPEBe3e0s2qnHx9tLLFTdETr2dRGtqFn9SpK zdHKXKNZNHpvyDE9g+/5i1Sl/ehnszWXLESLIqm+YXRNzf1eVXSsUOvMODq/ q/yBMlphiSbr8/f1enF7FNGmGtlKX9CJHOYxBXST9zhMoZeUOHDl0anr2lhf 0f8DAlZJ/g== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.375, 0.75}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.395, 0.77}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.7749999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHl0T1fX+EPNoqaqmiJqKBVTKKHkErNGaqgYixpiCqGCqrFmlZqlpqIi aCXEPIR8K4gpEjJIIonM8zwaEvLzW+t+9u26Vl/19On7Put9+1fWZ+17TvY+ 95x9ztnfvW+jCQ5DJpc2MjKaW97I6P//Xb7oZWuT1eGGr66tNHzZ1UPp5TUr 2GNYoHDV0l5P1lj7CI8w+bbGyXNHhGk/qm9k+G89vKU9THuY9jDty7g/DRky 2Vfaw7SHaQ/TfnjFStO/7hUo7WHaw7SHaW92ufbUT21DpT1Me5j2MO1LOTS1 KzM1UtrDtIdpD9M+bXOdU4ldY6Q9THuY9jDth003bXf3Rpy0h2kP0x6mvaHn Rx4nbBKlPUx7mPawT0KpyDGxZ5QWDVq32R6SrIyZeaBRxft3hFPzxqXO+TFY mOe3FXY4/s34NHkeRv7C/9NWX6ZkKLF7O66YMjPE8Hj+z1XaTNypWBsGDs5f 5CeM/rDr+jFd23e5LEx7R49fsxptS5L2MO1h2sPYC3dwX3+kwrtblcfrT84q Vz9VuN/ECxmph9IV61o7u3kue/Ca/FRXg71/qyzF1KParT0HvOV5xht9GW+Y /w/zPPrwvF4/xhtmfGHGd/Gm6UtGjvvB8EGj9BUthh0Wrvs82T85O1GpOTi+ XNTkX5QRa15YO2/IFPvon+f97Oyrjv5EY/TZU6Z4m/OGQGVVYJbNvYUpYj/j A9Mfz8PtnHaHWi0MM5gd/3WY2ezZyjb3gJZOXwULF/hVWhbc/4Hw8ejVh7pN uiMs61vlOY0LB9zv4C081dc39kalM8K8/0ot9ntmjbsk4w9jX8f5W640szkr HBXudvHCHIO0b/M8NWz90JvSHub566bxo1zvXBfeHZgzYlbEbWmf3uadtB88 70t7mOdnrSmx7ZTpJ3xw75qPjYwCpL13bLUU23vB0h7meeP5P/wSvy5IeMHn 25vfrh4i7Z13mCQ1jHok7WGej2m+54j77jBh69IHm21tHCHt7fuZJSRnR0l7 mOfPhR91ne/2WHjzo+Fb3XdHS/sDL/bmjPguVtrDPN+nb/iDhlExws9Pj62+ tXGc9v5CXGZ3q5SgvT+Ved7DNHZQmanxwpN+mLx5vluCzDfmM/MLZv7AzB+Y /6dfD+yXMPsfzH4Gsz/B7Dcw+wfMfgDj32H8NesH/fAnMOsHxr/A+GvW7/PP pvoZkvwUi+5zNypeqeK/8W/vuGzpeKf6FeVgnW+rNOmr+RvWG+3xD/gXON/4 TvLR1QHKyeP3H6fc0fwH/sxrY6jjkAs+SqZb4b2TpdOFaY99PmsN6cusEyyx B+Z9wfiLA5/fCXb11fYv48mNbxhqpIj9m+36WGzL1Par3eU3GXVfkqkcbuUc 4/lNoCGkb2b9S6/aB0QbV/tpq4/w9F1n51b0Pyps2XySW1vbMwq8c+Pginnr 7wivW2Xx2M4xWHjx1TXXvukeYll1VeipzOnfCz8aljZ+7q2fhYPCt/h9t/28 cPf5bke/bHlFePvQSXEBGTeE7xyYc7/7xVvC+yIMDqcq3BfusrKP3bRZD4Qd N92buahusHC1jl9MMl/+ULifVfiMXmaPhOOTv5pQtCVc2KQgeVoVyyjhyHud 2sYOjhZ+NrSofdpHscJ9j1ie8Hmk8cRWpU/7e8QLn1zeu/WxiQnC98pVND/T OUm43ihr903pGneKrnpyp3eK8Or2Q80c56UK/3zx/bZLPksXzjIedWzES40r b2tw4qugTOGRieM/7rY2S2mb5hG4Y4aPzP/r9s/7xBYdlv2/w/ZFZRY2SPBi P6e9+AeVxT+oLP5BZfEPKot/UFn8g8riH1QW/6Ay/gHWnx/084/1B3OesHUx mn7Rcrs8b3eiTdTgFgHKzXFhbt8PSlXmP4sb19XpuvKsuaGoYo42nsPT0w9F xfwqPDnj1swGRxMV64lrCxdf0ub/YS/fEc0zg5UL9/wnzspNVswve5TZ5eSr bFtn09LGNU15aHow2db9glI/b2vCug6ZygR/n7G9Pnko54mnbYs3Zw/xUL7N njlyVmCmkllq3+Ri0zOvnW9Y/31cLE+O2HfYoLef842pdVbnhu/fFf1SXWe3 8xjzQDj+5a8BQVWDFLO625//djBFObqjeG5brwDxn5x3HD3nBO4M0Oaj+ONV hv4+B7X+8EewzYIuueOXB4m/47yL/px3YdlfVcafwuhD/3LeTXL9eMDxLOkf f2ljfDl1WlyYoe3NDf0Mww5Yvme80KdeVY3ntzpZZ/KTIGGPVvndTt8NFkY/ +qvxudmW4tMPRB5qk2J/POq+8NfRVsuzNt0WTo2+dWuDxV1h/DeMvfTv1riz g0nFayLv2Ph0sxXjrwpn3u2zu8WEU8KxvkNaTjh9Vpj1K+dB9X3trLbF7W75 09p6OmCbUDHiN1nvcv5T5QUZEwMWHLkmPK3c1zF7Su7I83LeU+X7hy7zq3j3 nnClcz6ZzlsC5Hk536nyQ2MGJgx8ovmHx1OD0se5hMjzcp5T5d9WHR33fsUw 4TP1YlObn42Q5+X8psptvKfGRNV9LNw7aUH+N3HR8ryc11T5li6eDl84a/7n xG9L535pHyfPy/lMlRfV9M60aKj59zq7V+f2KEhQTIxDPqw5IVzWYy/jsRu/ 3hwiHGvT97arubb/Vtu3d1olbz9h68YOUbPLafuxWd/n9uN8Lgub+HpVLn/c U5jzgaw3l/1V1s86K+tjzIOrJ1aP8tbWC/5dXd/o7+/jn16qnba+M6y3ZVcq nybPs18g73zg4YzEi5p/Hd5st0PWpgx5nv0EucvCyNQ7VplKn5Bl5g3X7Vc+ 3NXOY8fsLGV5q6rzxwzQxofzkJwvol9aPP5EGx/ORzDnG/F/6vlN/NvGcdEn EzX7OR/JeJYuZ+/66X1l4rI2P9YvTlVMSj0aGNvMT85vnP92z5+3IFVJE//r uXzF4XpOqYrdtdhHn2Tdl/Oll0eDxT8u+E35yWOEz+VtGUrzMBebsE2X5T7L efPXH/Je7ovKEP9WdtfgDypYZihPm98K9LXzlvPogf73ohsM2SHr+/yGLp0X 1F0uPDprYJlLDQKVnF2hNUs9T1EOrhnYa+PWW8qIRR2nNbROl/tl78CUtqmD LxgYX5jxhJlPMO1vNfSN/aDlZmkP0x6mPdzsZFbPKJ9I7b583mDTrChW2H/H 2qKIGknCMx0/P7rt4zThykNrDxtglSUcvDNruZF7jnCTdUNDwi/kCc9dcL7V +esFwt529VZtvf9EuLrtskczI54Jj+8d17Z/cpHwiQ591zbJfyFc0vhYZElJ yWvxIuYH9sHYB2MfjH0w9sHYB2MfjH0w9sHYB2MfjH0w9unjXcxX7IWxF8Ze GHth7IWxF8ZeGHth7IWxF8ZeGHth7IWxF8Z/nPmi0UPTztliP4z9MPbD2A9j P4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2D/t6qFa25bkiP0w9sPYD2M/jP0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2O/Sevmw8p654r9MPbD2A9jP4z9MPbD 2A9jP4z9MPbD2A9jP4z9MPbD2A9jf+DuY9sXlMsX+2Hsh7Efxn4Y+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2Hsh7Efxv515dsEpQwoEPth7IexH8Z+GPth7IexH8Z+ GPth7IexH8Z+GPth7IexH8Z+S8dTNcdsKhT7YeyHsR/Gfhj7YeyHsR/Gfhj7 YeyHsR/Gfhj7YeyHsR9eF/DRj81PhMl9F3thznucfxkfmPMb513GU+Ip6v30 3cpxBSPDs4WvL7D7xLdhrvA38SmOlpPyhFsPnnnG42i+cNyV7LwPMwqE9fpz PkFf9nP0Y7+jPf4fxh/C+AeY9QIzf7iPy/lXjW9yfuX3mSp5y50q3M9SOsdd 6z7w1T2PeADna+KjnI+Jd8TeHP10QFa0vA8Ye5cfbuxaqnyCyGHkJqvTBl8w SRE5jPzyxNMvZ3XMEDmMvNXPV4JrHMkWOSy/L21uZJZ5KlfkMHLfZatX3PbK FzmMvK5DSuihO4Uih5FPHzuwzfKHT0UOI78w8OTq0bHPRQ4jr9CtVkTHzGKR w8iHmy00r/H8pchh5MQnOoXvneYxxk3O9zD3rdmmEeaNup8W3jjvu5kmnQ8a iMfwPMz9gPgKchg5/x+mfxj/g/7fG35wsSiIkfmFP0LefN+wQVnGiSLHPyH3 WdzghWuTVJHjr5BPGp3wy5iumSLHfyEv9ZPtsYof54gcf4Z8kNOlUgmf5Ikc /4b8wCKTEb/1KBA5/g555vQVx/cMfCJy/B9yy1GJZRaMfCZy/CFyp/4DRg+Z XCRy/CPyCIvjJ1vNeSFy/CXyls1rVKi4pETk3Pf198s/+3sG/vahfcmSY//F 7xeTqs642HJJpnK9x61OQS6Rcn9fVnLs1oGUWOEGj+fOG14qSdjz8qcfvlsn TXjknnf8r7fNEi6+nHCl26EcYWu3/u/V8cgT3r3HfXq+Z4EW3/y++lX/m0+E Lb6dV/tY4DPt95BpYTPXRBUJPxzR7fpXaS+Em/X7uW63JyWvxasDLoU38nnm YYB9u6/YFHTjsIHxJ/7ZbMKUrDm/i8++KZ5Pf1071qjtcjxbODbqdFC1CjnC 2Qd32NbK09jZutN7K61zhQ9XreO8tlOesPXFS0MLNms8avHe4GeL8oWNmllu mxKscbWUhrXsfysQPrf1akBYnUJh9jOY9R29p92j1b+Lj7PfMR4fTi0zfNzv 4jXy+9y6sePKO6UqDSt/3jVqsxZ/YT/sumXeuPqWWrxKvx8ST5b4p7o/yu9D 6v4Isz/Ccn7s8blL+4CwP/17gz4+po//vO3vC+yXjBf7I8x+CLP/wex3MPsb zH4Gs3/B7Fcw+xPMfgSz/8C8H9lv1PF9d01Ez8Vrzgrv+6LUj/dH7DH8X4// rzOtPSg1RfOP7ar1+/pGZLRw3KzAoGPGccL+mVUbLi6IF/5u4J7vJjTR/OfM eyF3zaukCDc0m9i6TlfNn1Z22/9NSpMM4SuVWob7D9X86xc3TtcYtC9b+Ljj s57Xzmr+9tCZ2tNa/pqr+eOJX+7ed1Xzv/kuiwzlzuVr/nno1eyF9zR/bLUt qlbs1ULNX1s17TssTPPPW1f0tL9y76nmv9ut/6ltguavo+cc8d4Z9lzz540y 8irnaP677VeV6zgmFGv+vdrgAUnFmj9fOsjB4fOcl9rzFVYWBJXW/Dvzl/M/ 83VNi9wzIZM1dk4P7BgxKEee534g/tt5Xn7/XzX/Yz1y+HybHbnyPPcH8eel n7W/nKm1N/J5dPa3sDx5nvuF+HeHxXNbt9f4nPnYAnOTAnme+wfyMRElpw4s 0Hj6/pgOrhMKJf7OfOS+yHhsW+aw9L5RjDY/1fOb8NhOLdd+kKDNT/X8Jty1 JKRbW20+cn4TrndzVX5fbT5yfoPLLbm5M/iENh85v8l8tW+Z5eGpzUfObzJf R2/q7XRTm4+c3+DcAXl7pgRq85Hzm8zXLsNzraK0+cj5Dd7cwrOfSZo2Hzm/ yXz9oOH+Z4XafOT89ke/5+p/D9D/vtxsotGGBk7a/qT/PUT/ewbvO3rZoCfT jLX4Juc/xhtmfGHGE2b8YMYLZnxgxgPGfpjzEox+nCfQD0Y/GP1g9IPRD0Y/ GP1g9IPRD+Z8S34F51+Y8zHMeoJZPzDrBaZ/8jXoH6Z/mP5h+ofpH6Z/8j/o H6Z/mP5h+ofpH6Z/8knoH6Z/mP5h+ofpH6Z/8lPoH6Z/mP5h+ofpj/wW+oPp D6Y/mP5g+iM/hv5g+oPpD6Y/mP7Ir6E/mP5g+oNpTz4O7WHaw5x3OL9zP4S5 H8LcDyW+o7bnfE97mPYw7WHac/6nPUx7mPYw7bkf0B6mPUx7mPbcH2gP0x7m ee4XnM85/8r9RM3PknxllZGT/yH53qpc4p3knxNfI1+deJrKEj9RGX3on/9H /ghMfghM/gdMfgf/Dzn/D0bO87Qn3wMmn0PsV/M15P6jk5MfxXjwPPMdZnwl P18dT5j5rs/P57zHfYTzHO+X8xrjyX4F6/cH/fvV7xfIJX6tMvbAEi/TvU/6 o3/8O3IYOf4Zxp/CUn+ivj8YudSXqHIYOf4Kxv/wPmHk+Bvep77+g/fDeMGs R94P74v1R7yQ/POQqxsy3vEMV8jHJr5NPhz5yzlD+t5Inp2rzP/h4uE7HyQr 1C/MOzB096WAKIX8buLh1DOQ3/1ZxYoJjWrmSXvykWH9fOD/Sz0K8XKV5fcB 6lP4fUNlfbwXOYyc/0+8F/vRj/g9zO8B+nxqmN8PYMYDZrxhxg8m3guHHs95 VrNUvDDvDya+gT+FWW/EO5DDEn9W4x8Sj1AZOfEQ5DBy4iPIYeTES5DDyImf IIeRE09BDiMnvoIcRs56xJ/jj2HeP/UhMPUhtMf/0x7meepDYOpDeF/Ub7De 8ff4L5j3Tb0G809f7yC/z6j3U+LXML9fMT9pz/yEWQ/EW+lf8uPU/vg9S+pf 1N/DaE98lvYSr1Wf5/cvmN/PWK/sLzDnB+pBnPeudj3hlyPjqz9P6+s/WN+s V309hf55ya9WWX+eQj/qUbomXls93yxH3if+nfVLvQzjw/mJ+pWYNqXtun2v sb5+gveL/0Uu9WqqnPoR5M3dlz8pCkyS/ZfxIR6H/frfK2D2V5j5CTP/Ye6j 8Ob6ISdXmGr7L/dT5NxPYe6nMPdTmPspzP0U5n4Kcz+FuZ/CZo6RwbfNtP3/ 0Fdr7VqmJMp+Psrq4tDGoxJeu79YpRwsmnouRtnZM9CzboUY2a97Od9d1np9 xGv3A+K9rIcq/qdqjJ2WrXh9NH6Ey6Jg2Y95n4t2j1j49Hfn5Zs7S567OOYp mzzT7dfmJSrWLpbdZrQJVdZ4N3X7+t1Ixb5d2NBttRL/9vqX1vZBvwb1DDIs tu3+rOlPuUpa4/q97Wa/8ncNHRv1+snVkOBlPtM7M1mZNGvj8KNu25XaAw/2 7Pz01T1nVfG5xmP3/OX6mfb7Z9Tf0j5FyXxgN8b16cU31tMkmX9g+aRKilIu dUDXCh/fVEr2vj8voVKKEm9SoenhVVo++B/V27Tzrlu93I/JyqWL4V2+qXlf 8aiSkDdqRLISHRKR3fPkX6/HYf10O7FqxdLzIco1+y6Jmeu1+8Gb6nV2eU2w LLUvXnlqMX9n6CxN/q/W72z86q57156xcp9otXDVy/3topV9Ob2G3tiuPf9H 9T34C6+G+WfL3EhQEtf1aX7bLkruG0bXV1hc2BymFNnkRp5Z/+Z6IPwR68ey ptPIOQvD5Hz7V+uF7IZX80uqflH8uU0DpWDGcH/Doxfeu/zefXU+3jOl8YiM UEPw+cKEu83zlPpfPh40PP+R3G8WVnmwZJ17spwvuE8QH9bXFyH/9qdrJ3/4 5MRr9UbI4zPbRHcruf5a/dHdaJvJ+wO0/e5t65E4v8zov6eG7xCtfuCP6pPY z44XH7cd+fj1eiXuI35lW96duUR7H/9q/RL73fre3Wq4Lc9VvM4Mvlu74/3X 7i+R1842tivOVfxvKF1W3YhRmhgXTitXLk6p7BZpmtQ2Rllbxvhg85/iXquH cvqszzjD9UsGk6Xl3f1SspXgrq3XXByZKu/r/GVjx61Z2vur1HlL2pdRScrD G+MbXOsRpDzwr/7pJ+eTFDfjJxevlwpWrrxw96zVPU4ZYBb87c4p2vhRP2X3 xf05DzYeNHiuznF0G5KtNCm7tenT/j6GXPelN2+88u9T7h1tcD4uSf6f3won B5dX++WpaUfsIsw9lM6rC5wa5Wv3oTfVQxmO+fdvHqTdp6bZuXuffeX/pL5c V9+U/WDDsLz2WryjjUWPmu91SFFerrEt8b59SYlTAsueaJWitFlZz+94fW/F 2ap4wZzWiRKvKDKuv3Z2eIJy0Cmmas/EcOWXGxf8mvz4yo8Uzyn/7dmIv1wP 9Vo9WNJ7X18ZmCzn+7TWzuG9arw6r59vs/3r8acNIS293QPfe3WuO/ZOv8Vm pw0nNq526vvKf7ec17v+hCO7Jb7E/q+vByw7JPvH2ufd5H00GhQ67/B7h19b z9TLoS/9fX+wcmaraZ7a8y61l9ld8hJ+vrHergNON4VXbNwxqEz8DeVfrW9i fPj/Xp81/XVOTT/pr6P1sdwql/2FL6xqcPhKQaDw0lWPvnNopDHrmf7qTzzY ulnnEJHbTkwY4lglVDi/h3vJx00jhC/1mB4eMShcGP8h+TGm5uu2TY0Sef/N XR7ONokW3rVsn5n1x7HCi0oW1236W4ww/ov+bmdGzzbyjRN50qzSKz/qGC/c aaxdWGmrROE6j3vdDA9JEOZ+TH9l3WbfmVmUJvLGZlsjtk9OF55br9B89pxM 4WF7gkz7l9fY+vMnqfGv1u/iA/u/b9zXQ/IL6H9I772fbq2YLc+PL+t+3dVS 4wovHjts65WjzZeufonLqmrMfZz+DnQw2jqzVq7IPfKr1ftugMYj0q18Zg3K E+5nZt5tdD2Nub/TX3bjScn9GuWL3Cjecc4YW42Phh+uP2BMgfDOes7bOn6k Mfd9+rOsecuySatCkdsEht7sNEHjwjuV5jad+kQ4sdLzlOrtNSY+QH8bS5vt KLF4KvJ93l1Nas7SuM+lWbeNHJ9p8//5l90zLDUmnkB/ETmb0h71ei7y9JMH HDMXarz9l4CGEcuKhFelXHW+NUBj4g9yn4jJ63FuULHIu/5c5u7t1RrH7+w4 //yGF8JBoU0zXGw1Jl5Bf4vvD9+5ZcxLkX+/eWoj1y0am6/b7bv1xxLhJrfW 91w2QeO3rX8097Ouvck4ReIhqyouvT04/NU94vatyiO97r51feS53q1LP1qa LPGRk5cjb7zvk6wMG+vYIqH7PWXi6DJLR1slK94hj+4ubv/311PWaWZl6eyQ pJjc9n3UrvtDpeqivabVgxKVMY+rW5c5FKpEPjkc/Y19onL0wurAMtUfvXX9 ZeZ4r2fd7eMlfrOwv6f3heA4xXTDM5+1Z6MVp5EDLsTkxil+XQwXY7f8U6/5 tvWab6r31tdr/7vrOzdsMXmWlDHJ8MXLO63SymrxqdGtbCwGlspVzI8XVj80 xcdQKy/ya7dlOcr4tonjavveMUSe8p7t6qPFq1ifecWpGZbVk+X3BeStnb7y MK4fqNS0sHX7ZVKcxJP+p+tJzacUWW39fpfEr2g/aP+Z7AzTbOXAHqs+7z64 aqibVfhTmw45SleHzWMS+2i//xEvm/PNCNPdXXLk/Gd9089QqzBbGd9i9IpJ o69KPM2hx5W9U8xSlAIrI98jE72VyeOdAsx7JCi3rpbqV8cjUmnVa6JiuiZW ufXA2O2xRazS9PPjH618Ga3cuxtqZeEfp+yd3WPPnC/Cld5mW8Y3fZComPed ci206KTh5SiP/IP7shULe/Pyvs4PDckzdiUrca/2VdNRjhZej5V3Zq1o8dA2 QSn2fVq0oOCB4cO1LuuH2Wr1RMTTGB+Y+yrMfRgmfgRz/9fH57hP0j9M//r6 U32+OEz/MPE5fTwOJh4HE4+DicfBxONg4nEw8TiYeBxMPA5GP+7D6AejH4x+ MPrB6AejH4x+MPrB6AejH/dv9IPRD0Y/GP1g9IPRD0Y/GP1g9IPRD3+CfjD6 wegHox+MfjD6wegHox+Mfvr8FOIT6AujL4y+MPrC6AujL4y+MPrC6AujL4y+ xE/QF0ZfGH1h9IXRF0ZfGH1h9IXRF0ZfGH3ZL9AXRl8YfWH0hdEXRl8YfWH0 hdEXRl99/g7xJvSH0R9Gfxj9YfSH0R9Gfxj9YfSH0R9Gf33+EPEw7IGxB8Ye GHtg7IGxB8YeGHtg7IGxB8YeGHv035fU5/Pof5+AeR7m9wrqBWgP0x6mPUx7 6gtoD9Mepj1Me+otaA/THqY9THyI+JLU16nxIamnU1nq5/ieFPVyKkt9nMpS D6ey1L+pLPVuKkt9m8pSz6ay1C/p8l24v8Hcv2B9/hH3FamfUO8jzGeYeA73 D+JFxB+Ry/c91f5g/j/MeMKMp8T31fGEGU+Y8YQZT5jxhBlPmPGEGU99vhPx Z877+ng0vwcwv/T1r5zvYP15jPcn9XgqS/2dylJvp7LU16ks9XQqS/2cylIv p7LUx+nmD+cJWL7Xq75PfT4m48V8gfF/MPbC2AtjL4y9MPbC2AtjL4y9MPbq vy/L7z+8b/wfv9/zfUt+n+d+Qj2lPn+J73uSv6H/XibtuQ+Rz0B/xOvJDyJ/ Cn2lfkLtj3ws3hf6wPrvy/L/WH/Em3k/MPrwfVX6I97C+4XJb+F7pMwX/CnP w4wX9bTE05HDUk+rxrulnlZl5Pgj5DBy/JPU66qszw+C37P/buh3bdNlPKmP hRkfvkc70rWJUf0m2SKnXhY+un2d7ZM2ucLUy8JPV6a7BXyaL0y9LNxn7qB3 jvctFKZeFnaecGbk+qFPhamXheMHf+AxadxzYepl4Q49FpfrPqNYmHpZeGXb 6DH1FrwUpl5WP984P/N+yS+E2X9YH3x/lvfBeYR8OPIRYfYfmN+z6A/m/8G8 T5j3BfN+YN4HzPjDjDfM+MKMJ8z4wYyfPv+I9U0+D+sV/8R+gz+Q+ii1PfmV 8GHDnTKjz+ZJe+qjaC/1UurzRvOdmmwfrvFoM5te957lS3vqpWgv9VN8Xzi2 6qRyezWutuvBSsVSq5/ivMX7Yb3B7De8T/Yb/CHjxf4D469h9iMY/wTjj2DW M4w/hFn/MPsXzHqH2c9g1jvM/gaz3mH2O5j1DrP/wax3mP0QZr3D7I8w6x1m v9R/f5n9kfnAfsb7lXpilaWeWGWpJ1aZ8zv7EedXxh/m/ZCfib/h/Mr7hHnf 5E/i3/EfzA+Y+aP/PjX5eZz/WG/cL2Dy81h/nA9ZXzD2M9/JB6V/xot8R/Z3 mP75f6xvxo94Gv6O/Qn78Kf4W5j2xLtorx9v4g3orx9f7sesX8YT+xgPxg/G HvwP+rBfMB9g5gP7C8z5i//HeDN++v65H8H4H+ynP/33IP7Jr/zvza/0ntCx yOF3+ZV/dz7l/7bvcejzN9/0fY63ze/U52e+Kf/yTfmVb8qP1Oc/vil/UZ+f OPVyuNva/yI/8f5TrzYxl0KViENhQ24+1uID8r2Iv/j9kTflG77p+yT6fMR/ 9/dK8Hecz/T5U2/Kf9TnO+rzG/X5jPr8RH3+oT5f84++P6CPX/7ZfMK3/f7J m/IP9fmGb8ov+7vyEfn+wtvmH+p/P9XnI+q/1/Bn8w/53gPn+Z5Hp3l3PJz4 t+cj6r+v83/t+zF/NX/y353v+E/+4j/5i//kL/6Tv/hH+Ytvykd82/zCt83/ e9t8Pn3+EPHJovJF71uFxr9Wv/LP96z+s75nxX6p/73vz+b3/ad9r+qv5huy n5Z9aVNjxZIk5d17dZ6fKa/9HqX//t8/38P67/0e1n9avqU+v1Jf/6T/Ppw+ /1K+j3ls9KVVBXMN+vzL/wdoywQA "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlldwlkUUhndDJ4QUEhJIIMSQkISWxEZTFFERrKCIIIiAgICAigVRBAUU gdzYe++939sVFcvY9cJhLGOZsYyOjo76vnOejLl45ttv9+z5zr5nz/n/ukVr Zq4uSCl1zyl10/NoMV6MFMeKCWKUOEFMFGPEVLFdNIqeQluTfZwsZoveoq/o wXov1u2/sMtcf9EH28GiQgwUZaKI9QE8i8VpYoEowa4U22J82PcsMdPnEZWs 28disUiUi81ik5gkqvFl26FiELGsFCtEjdhHDGG9nmetWCNWi2H4GovtfqJB NIl9RbsYLjrEFjFNzBNzRT+xTeyPfQ/O0oc8jEK7CWjfDb17YluAlj05dy9s lomlooq1QvyOJreZXBWypw86F2FXzHtnDsrQfgBrpehWwVol7+vEQZy5iLVS tK9kfwUaW+sjxOHoNJB8dK4NRfcV6F3NuzWuw64Wu87ceO0c0UY+lrKvklzV s+dcctZKvK2sTSMPzt9kctmEXiPRu4C8WOfjxAx07UaOupPvdnxeQY7HEd9Y 4q/nu57bmuJuHMB6GzZz0dt5OiTFPWkRV6WoQdfiTnw3EeN4YpyCro7lfHEe 7459Qpd4JxLzNmJtIa5JxNaORvV8fzLfsjYHo9UUcmn/hxGr/VzKmmM4Cn0b +OahfHcn883ixBQ17HnfS99p95MjxXQxAq1ndDnrMV3OdHyXHMzkjNPZP5W5 WfjsIKZG4nXcB4oLiMM+dqC197te3OP6kRPnpoTczGa+N2PHPgd7z60Xp2Lj uVMYO5aTsPEddZ1U4Xse/i8SCxm7flyH5bCIOdvOx6YEm86eeTq2C3kvIZZ5 xLCAeducIS4mBvtezPhMcUmKfrhBLMF+MXuqYCnnqGZcw3MZ42X4quE7y9nn 9xXsW46d52uZH5aift1zfZdWpejRNcS1irHnzsK+c4991DP23o1iLetr8TmM 76xk7D2DiWcJ5/R53atcS77nvr++K93J4YXk0bldj7bzyV8JediAn7NT1MZw 4t2Y/v8d2ZSiB6zBzjbuV5tZv1xclqIm1/HusWvIPcR1tJ1xI8+tzLt+Xect nME9wfU9jvkmfNl/K2eaw7m24Nc96nHxKXrcLn5HA9dTR5dYOojBNb6L7+zi vRm7nXz3VvE6urreXHdTee7gux+LVxl/KN7DpkIN+ku+P1LjETnO/KQYmKNX jdbzbc7epnG7uFLjoXruTVH7d4o/yeGzoibH/M3i8xT9p1Vzo3L0yr3Y2eZF 8UqKnvi0GJRD77vF39yFR0Vhjrw+bF1z5H+4nu+j50fiEzR4nvjs/0ZRn6N/ +hzXcpYhmns5RQ+r1PgFYnDszxDbc+I19H9XvJOi3w2WzUsperr1uCWFJta4 JYfOb4jHUvTxe8W/Ke7y/aIgR/0/KHrkqG3r/UQKzf3NsTm+az2eSqHJm+Jq 9Nwt9jDew5rHb4lruCdfoIs1sfZj0N815l7pHvyT+DnFb8C34psU/2d7yfah FD2iVOOSHHXzm7gtRa/fzj3zeYu13j9HzTXliKOZ/O8mtiLN98vxX6Ovno+k 6CW/il9S/F92rsrJ13WiNkdt+85+luLe/iHuSFFj14u6HLX3o/ghxX/wr8TX KX7zvhPfp/jNu0GU5ajhv8RdKfq6734z99810ZCjLvwf/4EU/fUfcU+K34Sb RGOOOvU9qs5xlzz3QYp535GqHPck63lfir74H6zI6zg= "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPFza+8dQoQKRYsWtRNbxd5BELWCGLWKVqtGRBMR1N577xF7 SyR8IkaMGBF7773+J+d8+OXc9977vM997jn3Rg5M6jo6QkR6ITs+Yy16oBty BpGdxFEYgYtYjkpojLPIy5wxxKl4jfloiI46j7EVxCi0wSkE+gYTp+ABCvF7 PDEOC3EPrVEZp3VdjA8jpuEk/iIRqbiGYoxPJLbCOVxGc2TgDHIxPpKYjjy0 dxPHIglHsRrN0AjH8d33Y7LoYkW2EoZgEK5jr78rAXu8L8HfeReP0BYt8Q3r 0Rs98RMb0Q998Azz0ADtcQK/0BcpWIR41jCXWBWLcRUtEI2PWOBr74Jj+ILu mIQbuOlrifK9WkZMFtuz26hN3xzf82y0txOHYyiu4Ajq+TvvowBzxhFj/dlb xLpi/6HfvtJzp3sQGSzHmtsZ+Oc1oLkfgB/+zSm+RwWZXx7TxWqiAu2l/uxM RASriTTPSb5gOc/wnOqzS4jTxP6jXLA1x3rfAZSmrwmxDnIHq2GtXa3xQyhL X1P/5t9iNZfqOdO9rsl4pu95DdrVg+VitufqMLG+WM6i+R2DWb5HsbTjgs3V OedRMVg96Xn6KlaDWnt6Bi95TjWXWqOFg+2J7sUErQnaVYLVhr4jR7CaT/cc /sFm3+v+eIznXmsxuIML/m5dwwaxGtXa1Brc5P+hzybiFV6gGjqI1e5Lb2sN v8UTtEMnPPV3xnif3g3v0VnsjviAd7qP3rcFeub0rOkdsU2sJrUW9Q7YIXYn 6V2kZ3qd2BnTs6Vndh9KBvueeKwSO+Oaq0xf+xuxu0m/oQxzD3otaM4fokiw va2FosH6tJ3sa/0kdtZ0zfkZz9KaEDsTu8TuGL1b9E5cI3an6l2qZ7IUY/t9 bVqDxfldItjdqHfqf1Floxc= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGcUVcUVhZkBUaMoRFTiSjO9dxCNgkiQBOkCiigoRbpIkY5SpUtRREBA QKpIkSZoRI2aojExEVNMNJgogrHElpCYxPOt+d56/Dhrz5u5c+4+Z87smfvO 7jmk43W5Ro0aB1KNGjUD3wr8aHS8GfjfsEZh54XVir6aYQej/XTY78JGhf00 7IKwS8L+H3ZO2PfD/h12NKxxWO2Yd1zYX/VdT/8fCTwx7FC0Twg8PuzlaJ8c eFLY4WjXDTw17PVonxJYJ+y1aNcPPC3sH9E+I/D0sHei3SDwzLD3ov3zsFZh XcOusA3PbmLrsCvFNmFXiW3DzgofHwv7Z7S729cu7Oqw9mEdwnqGdQy7NOwa +/jdy75OYT2cx5ze9nUO6yN2CZsZNjpsTNi19l0W1j/scvkPOCaOgSJxDBKJ Y7BIHNeJcP9lWF/Xa4h98BpqPHAfbjxwv95xxkbYB/eR8objDfb1kXc/+R40 t9TEWPvgPk6E+3gR7hNEuN8owv0mEb6T5ATfyeKwsCki3KeK8J0mwvFmEe5P m4PpYTNsk/cnzXM//V1jLmYZG3FsDlsWdmfYLfKG70L5wWuusTG2IGyiY/N8 lpjmi4zd6jziWCInamGR8RDHbY7z+3b7iOmOY+L4le3FYUv1MUu+4Gx5g3PC VsiVOFaKcLxLhOMqkThWi8S6XB/MX2MfcayVK9x/LZf1Yevsg/sG++F+t/OY s9E+crBJXCpfcj/Od44zv/caD1y2Gg9x7JArvLY4zth9xsPYNp8l1u0iYzud B699coLLbmMjjl2O8/sZ49sTttfYmHO//fx+QB/3hD0oUkc/Foljv1yJ42ER jo+IcHxUJI6fiMT6kD6Y/5h9xPGEXOGOJqPf6Dh6fm5Yw1S0GZ1Grx93HnN+ loqmt5Iv60AdoSHPpaIjo0X2C3XMHmV/nqhmo3cnqdPo3mTXmlqpo5ajlad6 DqCZFf1Fv+qp62jo6Wo5WvmLVDSdvXqaet9Jrugh+ljR9IrGd3MM/e7uO+DX w98VDR2oLzStl5zQALQAPUbz0LpJxrEgVXW8t1x7OaeD89DPp1LRl76pqt0D UlWvBxlPf/NZ0e7Bqar7jJ3pWQQXaora2mcMQ5zT3nf2cD0muT6VNRslV/Rw hH7ZX2NSVaPH+hy6Ml1OY5xf0e5xqarXE8zBSP320vfwVNX38XKEC9pX0XH4 VXR8ss+iRXNTVbunpaq+T5ELmjbTHA/T32j7ZqTqGTDVeGY7p6Ijs83TUPNE HPN890TXtqLT8x0bL685x+SXmGp6r2ktP/SMWq/s1Uflgv4tMqdo3WK5LvE3 3Jf6u6LdS/WF5qxJVR1fJhe0bXmqavdK+S33uYqOM7ZQHxUtX+0YfNf6Dvit 8/cqY9guD7Rgk1zRuQ2+A/1By473HtdWfpudU9H0jcbMvPVy3OL8ihZvk9cO 3018W30O7jsdW+mzW1P1DFuhX/R3j/Hscg7x7PY3PNg3e1NVlx9IVV1+UE4P +Zt37/f386noY6tU1ev9qarRj8jvMde+ouMPy+Nxx5iPxqJPL4T91t8vhj2b qhoHdhWfdd6fU9EU9vRfUrm3oy+/T+V+M90c7zUX3NPR7lHO4Vn29J9S0VPe 84dU7hCL5QEf7m/HeR9Hm/+Yyrm+Xh8HnPubVM5Ccs5+o4aoKXSQfTvMvD9h /H3CJx8cnEN/S2XvNEnl++Il263tbyPHF83BU8b8pOvwwjF5POg8dJszBT3m 7KuRy/n3ks9c4BjnSyc51D7m24TvnxapnI8plzPyGeMn9udcA3L5lu/6QSra y3mH9vOd8vfA5ql817wSeGEq3zVHAi9yPZ93TfnGeUM/zH/dOA64TuT5Dfub yxfeTc0Ra8S+e8V2U3+zH9uZA3JROe9pNzJGvtPON9ajtv+Vylnzw1TOOM5f zh2+rd63/91Uzt+LU/nGO6rvLs7l+2VnPP+pXNaK7yn8/iiVWqNeqdW3XQty /sl4ZlguHLir/C+VOuFb723f9b58WhorNdrUtUWLK7VDu4k+8EUNfBCW9d9J /p19Hj9trJNafufyXfmu78JfLX3+x7w1TtV7VUP7PjCHr5p/1p3vXH43cz0O Wy+vOnbI2uHORG1w5+HdLfXBvaqd63uCe5I+5jZz3snO5X5F/VEn1CZ3LOqK ejzFO9kRa/GwNVXH51+z3cH1PcM71mHf18w272tvTdb1Pof+w414ub+xl1q4 tvVsv2n7Ut8Lt46uA/e5i32edifH68r/PfPS0pqp7x3xHfs7O6++fmYG9rBe qUfuT9TtXsZz2VsTAru6J8cFXu463RR4hXt4D3nNRRNv4D3q1LcCe+Wy3mMC L3OfTwm8Uh05Yr7I26jo6+K+pdZqW7cvm7u2rhFrcJF13sC7L9wbyJ9Y+F+C /TU78Gr31eDA/rns9eFhQ3LZ0/uYl4tu3U8uc9GeQ76X9eoX2DuXvTI9sLt1 j9+zcvWdtNm/kwK7qVnTAq9yf1a4ogGfC1xljMR9l7EvDxyRiw5/NnCle2pr 4M2uHf626PNrgdtd96/m8hzPLA68JJezayn7PqvRgTe6F4hjm7HcGzjVOmR9 NrtG+J6hf2LaZFz3BE629r6cy2/a1MUGawPuI+X/lVzegf+NgRPdU7fg2/wv IH+5nMmfySUX5GEJmMs5w7oNde1Yz4Gu6YCwj+eiY9cHfiIXPb8w8M5cdK1n 2Ddz0SfW81rX9OuBO6wffPTVz+34yOVcp8bbWOcdctFidGx34Nm5nL1zAxvm cp/YFfjpXM5nuAySz62B5+ai8fMDz8nlXsJevC+Xur4tsFUuZ0DzXOqSmmyS Sy7IA3U9x9r+RuC3rb1GufCAQ+Nc3oH/poHLcrmPtMhln7PHvxC4Npc9uCZw rDXPPl6Ry16mTkdbq+fnkhdywp5encu+/nwu85mLTtydi1bge7z+z8slfmKv /IfFt8V3c8kXuaJmF1m338nljOR8pH7vsIab5aI7rAX1Ms+aYQ1nuY7kb6E5 hCv+uL99L5c1Y73QtnW56NCXcqlLavKLuewT9gi1uc/6/BByleHw "]], Polygon[CompressedData[" 1:eJwtk2lLVVEUhs9e9C/6UDbbTJNTk6W324eyrD+Q0kCO2WhzanMUSVFURESE RIT0KyKay8pmRCIiRCIkKsLn5fXDw3k295y913rXvgU1TdWNkWVZKYyCmywm wtKUZV9hP34AvuPlcBA/BD/wZbAX3wffkr/Zge+EPnwRnMFnwkr8N9TjDToQ yljf5zkD8vgQzMI3wB/8L7Tg2yHBwuTfZsO/5Hc24RuhBP8P3fh0WIH/gi58 CixPrvkOXggV+ADcxieHe1GP1/C1I2cFz82wJbx3KazG58AD/D3cxadCJT4I 9/BpkMN/wi18Ujg7ZbQHbw1nuwTq8K3hvZXJLtgN/awXwza8eSQrZdAG7eGz 1MN1fHz4XWU+Bq+GT8k1VoRrVq2v4BR+OjwLZZ7H18BH/DXk8Cr4gPfAOmUX /vYzFOHn4Q3+BI7hx8NZq+fD+JFwtsp8vbIJ7/UFSvAL8BZ/qjuCX4F3+HMo wy9BL/4MbuATwlkpE/VWDi+TezyBnwzfHc18NF4TvjvFcA5fAI+Ta+7Aj4Zn o5kVhGtUbY9gbLhn9foQVuHjwndZZ3bixeHe1UOt/ivhu6I7qSznhfdSphc1 23Cv6knZzg3vrYyvanbh3l/AfPxseBaq+bLuYjgLZTQM1rJ77A== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHeUl9URXXYGKYsYpYlRARuCWAhFUGJEkKCiIRgR7KJibGABFTtiREWI IqAoCOJiujGWRA9IVRQBaUvv7AKClIBkkcSSe8+9e9g/7pn5vfd98943796Z t9ukT/8e/QoLCgrKqhQUBOxpWVDwEZz2wJHAFEx+CvwW/sewnwH94M+A/QK4 Hf402M+BO+FPh50L9IQ/GQigLzAVY3OA4+Bvgt0G3A1/Juw84Gr4LYGjgOuB 1kA94BagIXA0cC8wC8/OB26C3xZoAAwAZmNsAXAj/DZAfeB+4BOMfQnUhb8Q dhlQCqwF1gErgcXAEmCV7VJgtW0J8NPQe2v8Hv3lfp92BbDelvE22DLeILz7 YCjesaEY/P7NleIxBve2CChzXMbbYst4j+LdR4CNXmeR930txloBdUJnwfPh OX1VaZ3GGG8EbIW/y7nn/L+BHcDXwG6PbQf22FbMlXkvx4fe3en5zc7lCaGx vcCT8AeHYh/w2D7gJIyVw/7Xv3d6LweBb4D9tru8l2/9HMe+cyyOnYo4TUPv 1YatAdQEugDNgP9h/DTY5qH3DoOtAhQCxcCbwG+AScDvgF6h7yz1d75l3pK/ 5Dw5S+5Wc4zwelVDsYtsOf97YARQHRgGPAckMA4Y6Wd/CZwe2jt1QW1RYxfC PyWUH+qIeqKuzg3xhmc52fvlHqgd6o86pC6oIWqJnKcOqIfW1gF50tIcIc+o F2qIWmris+I5t7GeqIEesJdaewvN0WXm3Qr/bmWNLqqkn5WV9MPfx5j71FFb 63ipY621Biq0tLaSlvibfN9i/lNDGxxzk7m6ze9v9tg6n2FpJf2UOW6pn1vs Pa7w7+2OtcN62OO4u8zRMuemgiM7/A719LXXqND8+sJD+qnQ027H2m+fc6yf rJHTPVbBfepmv5/Za86Xe+6g+X/AeiDPT7YO9lsrFfO7/A7HmloHnHvGOmlu DVAX3xdKEz3N73LHJg+rmNtVPVfNv5+zTx4+FeJuMz9X05qs0EZNa6LI7/ws VOPJqZHWQU3/rmMujbdmWgBXAWeGetFZttQMNfQT4HDXnn3OWbtQrSe/zgnV 7jXmJLlXYg7UN8+5Xr041AMamJ81vDfGPzvE4xLHaGj/xNCazFmHUG/b5vyV +yxYk+8I1eWOoXfKfZ48G55Lp1B9ZM5fD50rz/TnIX2SZ+eH6izXY53o5Ocv hu0civWrUO3jedd2neH+LwrFImcvC9VQrt8d9gznkXtu5pjdYLv6fZ5VS59P XZ8ffe7rF64dzF/rOJTXNs4tc9be+mde2zq3PJN2PiPmhjlivbvUuS4xx5t7 X6x/5/gc2YM6OM+N/F3MD3NznrnAc2Dd3OQzOt95Y447Ov/M8QXOA3nXytyr br6SqxPNwSLzjjyc4n118d5GhWp6Rb67Op+NnXfukTqi3qihscArfp/ncLHP jhq6JHS208wb9nHG7ubYnX3GzA3zfUMo33zvcr/761DtJkev8LrUOPfV3Xsr 9twPhVqDfY497tZQT2LPYx+8EvixUDpn30l/A2tFOGfXhc6fHLkmlMtm/h5y iX22N1Dg7+zs/fd2TMYnX/qEOML1uQ9q/LbQ3qidK70u90we3RzSIudvi0N9 uq/PaIzzcqG/tdi5YM290znmubIGsf7McF2ebts/VKPZZ+8J9dqZ/s1nOUZ/ nuPdFeIw3+vn558O3TH47ey17NOMMTDUg9mneT9lz2a/pk7Y59jj7gs9P9/z D/h5jt3ndTnGOd5vK3rkRttB9tlTeCf7T6G0+FBoHc4/7GceC90v6RPsuxts Oc5741brjf1ui+c4xn0P8PeNDsXa6Nr1RBy6X3Afe1zfBns/jP244wzxPvks 68oQ+72cw/TeB3n/PLeXQrrj+gOdq5dDeWfOqWH2Kmr6+dCdjHGob97VagGv eo7jEz1Xy7/5btgOcxzuZajnX3Cc6t4L93SE/VHeG3VOvVMTr/kdPs++Ocb8 ZIwXvS7PZLRzyH491jGGeq9clzxmzy70muO8bgv75DXzPCFU5zg23s9M8Bzz z17xbKieDfY4+w65TE6T/yOclyLbN7wO8zDJee5tv5fnJ/pbenqf1CxrM2s3 6zPHij0+3HlhTliP2Z9Yk5nv4R4/C3+TzknVgBLY6imOTIf9OJXv5bBFqRhP wz6Z0sdS2MIU9x+BfTCln6Gwy0K9qD38RaFetwp+3VS9XAF7eKpmPQ+7KtSL RsJfF+ozq+HvDtXyV+BvCtX+FvBPT/H/NdjSUI8aDX+Dc/Eh85jS7xuwW0P9 agdQL3V204E/pGr4sbCbHX8/8E3oDIsx/lWovw2G/2hKDxfALgn17S+IFBcn wM5OcSBgn0311zLvlfvcFtoT9/M58HbqrLd7Pa61ELZxilcvws5K6Xmzc8F9 vg47MaXtlrB/S/GF8U5yzHdg/57SxIfcV0iTbeG3Sd0ByS3+/cN+8QHG3k/p oxls89RdYwrsgZDGfgQ6pO4r3wNnp+6PTWBnpPrku7B7Q/WiCs85dS95gBxJ 1fg/wp6Z6iF/TnGRPJwFTPO3fwfMDt2l3gVuTfWC96ijlI46pfbE/fwD6JPq a2/Db5jqdycwD6E70DvANam+9j78e1I95QzYKSH+j4F/WOo+NAm2RuquMzx1 rjzTZ1Lfxu+aDFszdQf6J/BwqmbOhd8g1S//BTyR6jXHw9ZK3TVfgq2auld9 ANyf6kH1qUFrdxz8aimtLwSapu50J8PuDN1Pdvk3/WNgfwidy03wr0/3fNib U3fDa8mX1J3gLs6n6tMRsKem7j08D95XWG/Wmovk4UpgWKqm3gvbL9Wf/5ri Inn4JbWfqo/7gPdStfZbYGqqLo+FfTXVz06hXkP8KUidGc+LOiAnyIdy4KNU /WpEvoXq4dHwF6fq55LU2lz3oOc4fhzs1JA218A/KnUHnJ+KxTi82zGvvCeT C6yJ5MMVsD1Td6NbUjwjx9aHahbr1WOps+e5M69XO7dXpbhIHvYix1P/e7sh xUXycGOofrF2rQ7VRNZD1pvHUzWHWvnEeplHnqV6zFzY2qn+/ALsmtBd4TMi pWvav9j/FPZPqR5BXtxoblAf1znnS0M1jvWN9f6pVM3vSB2k/jd2CWy31F35 Itiuqf8vdmFeU/fXISnek/MlrimsJ/w/KPsHe8cCoHXq74DurB+pO+tl5Hjq /47nUnOp/2WexzNJ3YkXh3oM+wv7TDv7y0N9iD1oTuib+b2Xw/ZI/Y+T+nvL GqTO2OeotQGpusCawFpO3pAzM0M9jP1rWqiHsX9R929a+9TB3dZCnRTPyLHb U/WLtWuyNcWzoObusO6oy77WJnvpQ6l+OihVF1gT9oT6Insia8aIVN3on6qJ rIfU1gLri7V2YKresoaNT9Ux1pKXU/WEdW5UqtbNZM5S98b/A4FK/aU= "]], Polygon[CompressedData[" 1:eJwtlnnQllMYxt95z/1HM2jfpREhbZaopI0iLVq+JCqqzxJCltJ8tqJSCTFt +iqhqVQaW3ZRTX3aPi1EdgaRfcseftdc54/fnOt+nvM+zzn3fZ37eZuUjim5 tlgoFKZDwPepUNgEvaAZ1OFiXTgTfQxMRk+CSn40nngceixsJb6eeCL6DhiX PCfQ98PtxHOgNvpvxv5wDtxCfCvciN7O/Brol/Ub4gXwKWyEnnAkHMK9bxj7 Jq+pJvF2xj7QAw4nbhSeu4/nTUHfFV7rG8RHo3egz4US+BYac60b47FwGPpH xn7QHRoQN4QTlRftEX0DjEnecyt0a+hC3CR5Levz3rSmm7lXBtuK3mNV9NNa E3oebEZvYewNc6E5cQs4Dd0Q6qGrwcA8ZyO6gvFfnjdIeyB+nLEtXAKnEi9n PAGGaJ/Eq3QdRsLVxNcI9BaeMRP9AXoC3AbXaW/he9pjV/QKxjZwEbwL93Kt A2Oj7JVXc67kmQmqdbiW8sBfUCtcm9nKC3ol4ykwHDoQP8Z4EgyFdcQHk/M9 APbANK61V21hA3p9uLZa84cwi/h0xiOSvfUPtM4eK3LvHdUhOafNiL/LtVZO 18Ferj3CeChUoF9n/I/nD1aeNTe8Fq1pteqc4wbyVLKnSvJ6myp34doWYDT6 KthcdM7l5ZegU/b0KO5dAaOT59yN3qtzAWVQnfgFuAddDkvQX+qdcAZMJ347 50Y1aa9chHNZE36BbZoHLeAp7v3MOBWmwPPEv6mmMENrI/6D8QGYCZWqZTg3 uvYcug00z8/cij4Zjkc/qHepF2Q9HwaHc6ZcXQYXE7+Vvd0Ozic+D+qjL5WX 0K/BLHS1ZG8PCt+Tx58InxmdlcnyEbpt2Os1kmutHJblmq8Ne1De0zPXhNeo tU2DKugvGCcln+GvYGk4t01hufwZPmsHqc8K+TeyN4hnhHvcnFyzPeivk3vl YtipfhPeyyLYhd4d1i2Tz2Z/4tLkM7oPHiXummssb/6Z58qjDxMvhgO8+07i Z8IeKc81XaV+ABdmD78Y7qkLco3L0S3DvWoifAYLiTszHpW9OT98Tx49kD0i b8iDQ5XrcC8cldwrf83eUs9ULS8I11o17YPuBXXRI5K98mS4dvJMd/SbjLWT z/hx4Q+RvKEevRu6yWN5jrz3bLh28mAP9FlQR97SGtQrw72wHlyutehMF33G Poa5xB0ZG0NH9K58VvQO9bqzw89Sz9Oze4Z7ld6hvfQN91LtqZO8Eu6NtaBU 74Yrk9+5Wn5N7gWqSTviyuxV9ZNh+m04lxXMH4keEdZ6hnpl73Du1DNfyR6T t+SBn5LPtM6yvin6Nv6Q/O3WN3JAOCfKhTz2fnLPV6/XN1nefyjsJZ2B35N7 gM6+vsHqzZ2JhyX36PvQ7yX3fvXcLuEcaO+aswy9P58dfVNnE3+U3JuV80XE n2evyePziD/JtZAHbyIeH/4voW/m/zxDCRw= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXecl8URxo+y+9JBwMNTOhxI54ADDkRaQFGJYqxBUUQRLIAErMFeg73E ktg1Suyxpnd77wUFFBDwsIDgWQCfr/Pc5/jjudl3d39bZ56Z2ety1Nz959Qv KSlZpD8NJN9NJSXfC1cKaxuWlHwtbBSqhW+EzcJ6ocbfnwvf+rtNLilpLfyg 8jphk3//mX/H9xMad6XkRx53q7BFuF71pwh7CL8VThYmCl+q7XvhO+E6fS8U JgjrhWrhQOEx4RO1fyhcq/IC4WfCF/4d6/ujvpcIG1S+RPJojz3RczHmLcJi YZZwvnBEirW/J7lFuEo4NcVaWeda7XWN8DeVV0t+KvxV5WuEXwnjhQuEI1Oc 30WSR6U4s4slZ3iND/F7yeXChSpPT3HGT0muklwmnKPyYcIalc+TnJbijM+V PNx3xfpOEsYKVwvzhXHCFcJcYbSwo9BF6Cy0tewkdBR6C72EdkI3oauwk9Dd 3x3cvqtQ6nbGau+6nh6rj8fie4gw2P36CX093kBhgOfv698cLxwnVHieoUKl x670WD083iChsc67UY77KJXcMUc7ulZPskQ4WNhf+AVnxPkJU4RDXHcAuiOc KfxauMF3vGcKG5gnjBFOF04TJgllQnntPjTnfh5nlbBSmJxC15l/m21gm3V9 kPpXCJ2EP6n9Y9UtFTrqu4OwSHV3CWcIe3G2qtsnxRzYB7aBzlarfr3wD5WT ZMMc9vGw5FnCvSo/JvmocJ/KrSTXee/3qfyIcKfP5LMUdrTG35QPUPsvhVEq vyb5hvC426q93x1U9/l2ddjkoSnq1rv+fvU5QZiq8uuSo3PY6hLJ8diMyg9K Xi78QX1aFxpXeEnlrarbIvxf5XMlb/T5rPM62cthqttX/Ter/I7wbQp9n6r6 yar/WuXFKj8jnO07/c73+rbwjXA5esc87FnlOyXvEG5W+UnJJ4QHOX/Ja9iP yrPQO2FvlU/Msc+pnrsmhb3drbq7cvDKF8KXPp9HhK9S7H2926jHnvqnsJMS rb2e8HQKG+eesfNXU4wHR32gsT8U/sxeJN8VnlR5qeTYHNxxr/VpL8u7rZ/L 1f6x8BeV7xDuSbH+d1Q3JgdHr5Acl4ObvpLcIPyL9XLvwj9Vvkn4vceHR9HB Cdbfm1wPvzEP4xT6Xc6hx4dYbw51/7u8ts1q/0b4j8oNdAb1hWdS6MfNXmdS XRaeTeET4H04/3v8j/A/dEGyRvhvCv6Em+HQr1W3Ufi3ys01RjPhhRQccLvX 0kh1hfCcypelsBVsoaXqWgkvesw7vB6469YU/HWjcJv33kR9mwrPp+DQAb7j NqmOd1tbdtjuu42/d/B3J9e1tX50sb4M8Li1nIos9xxd3YY/gDPhz/s9JpwN jzUXWng8fEOp52gkNBZ2dnvLVOcz6IePaCo082+a+Hsn1zX33O1cB4cO8jrG eS2VqY7fe7mup785xx7+zVC341OqUvgLzmB4Cr/B9wjXse+dcvxutOfr4XF3 83lxTuM991DrDXKYMNJj0G8Pz8fYE9zOnDtr/DLzwETXVbm9d6rzfx19b319 dpwx8Q82utL+HdvFTp90G2XqaMNe8BGPpvATSL4/caxAn2WOe6hf6liBcYiv 4OvHPFdTrbdJDv/Wwv5hL/ejD2P0xH/miJPwGcRMG9z+uOft7XZitz7e3097 U/3L1i+48gFhF+4/h2+enUIvy6xTXa036Ed360iZ7x7drI01am0C397e98g6 Wdsar2G4z76f7+onHcmxlvZeG+tp5buo8m8eTsHF8DD89JDLKxyTLbd82PUv sscc94ANYB9NfNfDrEPwBHxxotAghe1gC5OsW+ggtoUdYc9DNN7gHDbZ2OPS Vri9tecoddue3iNj1U8RgxN7t80Rf89MdTHHJsdBmx2rb3XMTVvDFHEx8THr rHGcTMyyyfE6sfxGx+dNfVel3k+Z74y2Rl4vv23q9VbB8ylyAdbTxPt7wDqC buzg++WOWFtjn00L6whzsL6UYr01Xiv7bub527mtpX/HPmmv537N3beeZVPv u6HvB98/R9jd5114Dclzk3uwF/ZJG7EIMToxPf6DPGGaz2ydcx3us/DdYZfY FrZDbIGNYsv4TuJ4fPql6j+/iPhks8eo9j2t9bj4MHIJchJ8FTnMDO+32jkZ voq8ghyD+OmYFHkO9rrWd48fJQ8hxzjW98M9YeNwQS0vofurfe8l251f7bk2 8t1zb81d18D30NDn18J1fA/NoevELfATPLXKd77VOsJZk5N91TByKuIe/DU+ H1871bq1zXqKXWKfK6y75FW1Od8XHqvGZ0Mb8fsNtiHufbPv/iWta/cc9zJA sn8OH7KreR7dGJYjFicO7y7Z1d+04w8qrEP8Dr/Tz7yHniPbuVzuOH9f20IX 8xTjdcuRgwzwuIzZ3nORA/C7jo45u3scyt3ch/IHKfLPBV4DPAh3PiWckYOX yGfJFckPyfeJickbL1P7HkXEphfkiLmJt3dR3UJz+GmSnfT9pspvpeA6zvBl 7wWO5Sxv83mOknwuxx0Rk77nuHRpipiN2I2c4JXsHD5FDEks+bTqdhPOSmEf ix3Dv58ivyXHJp/q7PNEklf9PEXOR5kcj5iuWY54dHkKX4geEKPhC/GDxMUt c8Sf5EPkNuQv8Cm8ip18miKPmmK7aW1eWJYiF73ed9TduoG+V1rn+R7mdcLd k6yHi20bs3yGlfYF7KXc/RlnqPn0BJ3D/jnizT45/HFrz00ufIrPj3xwofuw /g0+W3LF67yntq6fbR0lTlrkuTlDvtGdnrYb4gdyY2J3YviTfYf1c+hbV+8d PfwoRaxPX+66QY6+6GZJjrs7FGmdQW/r5Wjnfrf5jt+2rZJP3aD2c2wj5Hrk WuRxo92O/b1ufSRWH7Nd+8ocOQ9+/nnJZ3Pwx+9SnCW2ht0TdxI79rL9M954 6xpx61jbCmOfqfZ7cujRPK9ntPvNd198Az4CTofL4DS4mLwBTiOGwQfgC+D5 t3Lk28RbxKULPD+58ic54hC4gBxlsnX7Jn939dnsY93irohhm+fI0eg3R+V1 wt+tg6e5L7nv7Bw+CmBz+Kpy2xd6cWkKXUEv2kgP5+awD+Y80/PuqPqTcvgW 5kYfiZH3KeLdgfiIWHqh91dpO0Hn38+RxxILv5oj3iLWOihHvo1ebRRe81qw CewHuzjOdawN34aPg/PxhfhE/AH+Er+JX9gvh/6he6z1Nyls+laPw3gjfDbs o7PWf7r5c47KB+bI88iV38zhNxdYv8d7X9gzdk0O/VEOf7osR95OjF+qca7K MTfxBHEFvoo3jBrr00VqH18EJ821LaDn56t+TBGcdInKE4t4R7g9RzwBT54t +UAObiNuIH4gVuB9lzcQeJ93zR9S+INNKd5LajkdOcr6fqV1nveSzV4HNro1 1XHx1dvp/lXW/5G+3+zyiFwX7yKJkeZp7YtU3iUHb/Nmd1CK9yjemfC58Pgh buP9bKC5faXb0b1q9+E3nTwWPAavlJhbrs1xf9wdNv5GijwO+abLc4tYE+s5 OQfnHu89/eDzgM/qm9MutU7O9rm97jv6OMXZ867RwT4BPu+h8cqL4LBdJXsW 4Yfxz+gZOtZbslcRvrq/ZL8iOLKvZJ8iOHKg5IAi+HWm5LFF+Lmukl2K8M/o OjEgMdVs1c0qgg/QD+wcH91ddd2K4FryP3hqrWNPuAlempfD5mf6nrf6nrGJ vb1m3khXpOCUyb4b7mWG+hxehE86SphaxNkdLRxRhC/B7jb6LHl3PDWH7l1m nWR8+OZKc84B1g989DGqm16E/ztCOLCIe+KdbEMKjjhW9VVFrG86tl+ETswU ZhTh2w4XphRhe0eqfHAR+5yGrhVhM/f6XrnTKV4D+kfssNr7JjeFX+H2V1K8 2dX691dcfsN6MsrntMrjrXZ5ssdd6XrqPnUZO+Z9C87Ab/Amh5+B23iXOtrz MB/8hv/hLQ0OuN/12B8cyfsZHAn38NYId8KXvFfBl+jQJt8D4x5jXarl0y8d BxGHkF+gP+Tn7B2dL7fvWGLdQqc4H/pQV2Y/i90d5j78lrOhHjtibOIYYhX6 Ex8TZxObEN+SP8LX+O8K75F64m36UY9Phy/gDXRneI54bKDbB/i3/K6ff7vE czMva+nldV4h+VCON9PjJV/I8Y4Az400v/HGgN/A9zHPcNv+QM/L3Va4fqB5 iPHZ9wiPA2ducf6Jb4LTKsx7w11mzMHm1cJjDnJ9leuzx6xyn87u08m+B3ti /FLvnXO9Rbg5R3w0RLo/uIiYbqhkZREx7yDJiiLiyuGSw4qIr4l10LVq56bo KX4NX9e2iDmJF4hZ4If2qutQBIfCNdM8xp6qm1SEDc/PEVvgq8lFrs7Bt7U+ Hn18XHU7F5FXlRXh41t57unu28a6hM6yVuJa+Iq9EasSr/D2xzsNcfo4jXNh jv85jFJ5tyL+X1RmHUQ/h/ueiWt+4poUZz5afc8zL3BexOjEZP09NvEFeolf JW7kPZLYAR9a+y7JNzHvyCLirGGeh7YJqrs4x/9beOcc67GGpLpYlbgPX0eO 8yPxkIHj "]], Polygon[CompressedData[" 1:eJwtlnnUjlUUxV/67r3moWU1UFrSPGueNMiQhAwh8yyl7zNFWqYiQ62G1WxW CtUikoTMQiQVMmTIJ4TIUObUb6/9/rHX3eee+9znPuees89ToW1e/dyCmUxm KsgBJVImcy5YHTKZ9qBqzGR2g7nwF8Ag+H34d8F3gybYL4F+8DrgXnyNsfvD d4Ih8AeZ2wvfB8rAuzLXEf4yOB+7O3Yn+CtgGLwqcwfgB8EY7F7gafgo8By8 PP618MqgH/Y7YAS8HONIcH/y2UrC3wM9sCsy1mKuAePY6L0qgXfh08BkeAnG D6O/Wd86BiyHPwWawgeCcfC3s+8bDXrAL2D/NfBSoCL8MXAc/gt4MvkZrS2e jd1gxj3BMayZHAN9+xGwCt+r4DB8OqiB7xOtz/HcxdjlQGf4T8Hv7on/x+Az fAR/OHmvseAR+EXJa4+CbvjPS469Yj4au1pyrEvDJ0Y/o7XjdKfwZsz9Df8n +C6HYu8PvtMB8LuZyw+OYV/dJdgBfx7chW8pdp/gOd3tcOy/gu+4NvbX2M8E v6MW9qNgQvBcdZ0V/6HgZ0bBqyTnUin4bHAp9nrsXFAPexaYqnwAbyp3FOPo mJWG14F3CM7xe7ArJ+dqXzACXzfs8tmcXsx4K/Y2eG8wA/sL8Cn8M7AQfhP+ LfBnwQLsG7B/hfcEi7Bvxt4K7wXe0rdil2XsopgyngRL4K1AYXzFwSp4O3AK 31nwLbw1+A9+Dv7l8DZgv2IJFsBbgBx8hcB38LbKMXx7wTfw5uAN5TP+Mtka PKS7BYvgLUGF5DvXXSumS/Ddjr1dtQfmYF+WnNt5IOm+mBsW/M668C+jY3OE nD0BrymNCP7Gg/AaYFDwmY8qX8Hg4DMUZL9a2EODv/EPeHXwYvA3VFPsVafy sf98+HU8s1m1CP5V/oIhwTErhq829vDgmM6DX8PcJnh3MBf7CuwN8K56B/ZV 2BtVK8G5eyf2b8E53EG1l1zLI7G/YpwJpgTnnGrx4+jaU02+Bp8QrSUTg3Mn F8wLziFpWR/sdcGaJu1ojn0sWEOmwxtGa51q4nPlD2gGnwS6KNej99acYvN6 tE8x2gjfAH4nVrOC7+I0WBp8J6rdgTpzcA2Ph38QrXX5PFM/qwnSAmmwtH2y 1gRr/BppD5gB38n6tfCfo/lM5n6Ar47eS2tWqB6jtW2acga+MprvYE2B5BxX bi8L1vb+YHyw5pbFf2Gy1irmZ6JrRLWhbzoeXVOqpcXBuXUsmivHNsE3R8di F+9bB18ffVbFaKdiBeYEa+6e6BpS7agHKhf/BPODc3IrfEv0XrOx90XnqHJT d3wgukZVm3qmM3wZGBDcU/KllWB3jt95JLomVYsLg3M5kxwL5XSp5B6t3vx9 cO0VwV4ZXINFkzVE2qG5mKwJ0oIVYBvrt0efVe9ULR6OfpdqUrUXkteqBlU7 JZPfpRq6Ft5EdxRcc821N2sKSpey2tkouteWz2qdeq56bdms9kgjpA3SIGmz NFtaLY1uk6y50tpCjI+DvOTervu/Bd4apGhNbgvvEL22sO49WXOltZHxoeQe p96mnjUl+h+hZDbnOyXXtGq5WDa3OyZz5fik6H+EEtkcbJesidLCIox36C5A 0WiNeCC5R6k3qcfL1zF6rdbclnxmnVWaegm8d3QvkAY0wm6FfUZaBq5OnhOX ZlWCtwQhuqcoFu2jv1Uxka8dY070mhuT70h3ox7VLLlHqTfpzlok9zD1Lj1z PXZTUCC6hz2RrLHS1ozuI1kjpY06o9a2ifbpmbrJPVm9WBp2JXZDcDpYUxsk a6609lSwr2U015r62C2wT8BPgnrJPUe9RnONkzVc2n02OBdbR3Pl5OXJe+hZ abr+/d6P7u36B/wfIFaDsQ== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0vlWjVEYwOGvUoZEmVVoQMgU7qO1ugQXoEsJIVMUZazMU8aUuYiEzKVS hogGU3j2On886/d+e+2zvn3OPtnri4s2xEVRdIoVhDmRiaSQxkzmMo9sCtjM ZJtTeG1eoNs0S6cwlTdhv5ZpjqaSxlvP03S7Ttc2XajXdbYe11l6Qudok6br yXCOuNhZM/RGOJOe1kw9o++Ybz6nrTxkK/fD97O+kuWsZhW3rZ9lnXmLtrDE vJQ88lnGLevPWGvu0Ke8opRmHnCPl+yiixc84gntLPbZnbpIO8PvqjPIZYfn mzTynGM8po67NJBsX224G63RSXpNJ+hRTdIjOl6vhnvUw5qgh3ScXtF4PRjF LvtAiF7Wf1QzRhV/ucQf9vOLffzmIj+pZJQKflDPCHsZYg/DXOAO5ZxnN2u8 t4BN5m985wuDfGUjn/hMPx/5QAnv6aObXnoYoDCK/Y//AxnfYUg= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{310, 309, 313, 622, 613, 614, 612, 616, 615, 540, 618, 619, 617, 621, 620, 541, 624, 625, 623, 627, 626, 542, 593, 668, 576, 611, 560, 609, 559, 610, 539, 312, 311, 310}], Line[CompressedData[" 1:eJwl0tkykAEABeCft3Bll1AzFSmSkVQqyyikkHHhUjeWKFS2NmtZqgmRtT2y RyIP0BP1NS6+OXOuz4msvlNUGxIEwThhoUGQqxyTR3lOFc94yiJH+M5tnvCY byTxlUq66eILiXymgk46+EQCHymnnUd84DAL3OIhD5gnnjlu0kYrsxxihjJa uM80cbznBvdoZopYJimlibu8I4YJSmikgXGiGaOYeup4SxR5nGOFLIoIZ4nj 5HOeVbK5RgQ/OEEBF1gjh+tEskwyhVxinYv0kkIPJ+n7vxcDpNLPKQa5zEtO 84I0hrjCCOkMc4ZRrvKaDF5xljdk8tcnVlhljXU22OQnW2zzix1+s8sef9hn mRmG6aKBGkpDDn73D2IpTQw= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl01WIFgEYhtFx7cIrFRNU7AK7u9u1W9fu7u7u7u7uWnVDwcDu7k7QW+MM Xhye+d6bXWb4s0X1j+yXIAiCv0RHBMFpCicMgu0UTxQEJSjGVXdJ/a0xmo29 nltoS5rSnGbssUdqExrSmEbsttfXBtShHnXZZa+ltalOTWqw015JK1OeilRg h72MlqUUN9yl9aaW079aVW9pFb2t1TQBM7jrnq73dKYmZC4P3XP0kc7TxCzm qXuRPtMlmoRlPHcv1Re6XJOyhtfu1fpG12pyNvHOvVHf62ZNwVY+uLfoR92m qcjKF3dO/ap5NA3pueS+qPs5QBEuh+xX9AhHKcoxrth/8osfpLbd56znC3zj kfu7fiZl+G444zmdpuWT57sarVk0nvVsYB1v7cn0Dqc9F9KCFGAVKzllP89L VrhfaWbNRCxxLOSJfb4+1gWaiNk8cM8K/3eNCL8rJz3n13zkDf++u334bjS7 BuTmujuHXtNc+kczagb2eW6tbWhFO9qG79beUTvRgc5EcdDeVbvRhR5055C9 l/amJ33pw2F7fx1APwYxMPxO9iE6lMEMZ1j47ewjdRQjGMPo8Fvax+l4xjKR CRy3T9YpTGIaUzlhv+b3fJ544oglhnOc5UzE/9/9Py0liug= "]], Line[{959, 765, 769, 773, 777, 781, 784, 814, 963, 1020, 1019, 1044, 1241, 961, 972, 1042, 1243, 1043, 1018, 1213, 1215, 1214, 962, 1056, 1231, 1232, 1230, 1234, 1233, 1048, 1017, 1240, 960, 1055, 1228, 1229, 1212, 1016, 1210, 1015, 1211, 1041, 1209, 1014, 1207, 1013, 1208, 1040, 1203, 1010, 1201, 1009, 1202, 1038, 1225, 1060, 1198, 968, 1197, 1073, 1196, 1195, 1223, 967, 1222, 1072, 1194, 1193, 1221, 966, 1220, 1071, 1192, 1191, 959}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1245, 1244, 1407, 1596, 1734, 1641, 1733, 1642, 1735, 1675, 1906, 1676, 1697, 1696, 1598, 1741, 1742, 1740, 1744, 1743, 1599, 1746, 1747, 1745, 1749, 1748, 1600, 1751, 1752, 1750, 1754, 1753, 1601, 1756, 1757, 1755, 1759, 1758, 1602, 1761, 1762, 1760, 1764, 1763, 1603, 1705, 1863, 1677, 1739, 1643, 1736, 1738, 1737, 1597, 1249, 1248, 1247, 1246, 1245}], Line[CompressedData[" 1:eJwl09VSlVEYgOGFssHGDkxU7MDAmPHQYCugYktvQGdEwQ70GsxjPbAOxNGx E/smvABbUWzFetZ48Mz7fetkr//f8+ekGksa0kIIT2lPD6GNukQIxRkh9MoM oTc96EkWRc67aXc605UuFDrP1E6kk0GCJc47aEf+mtM0sNj8mz/85BftJPnO D77wja8U8InPfOAjbSyilfe84R1vWchLXvGMFzxnPic5xUEusJnzbOEihzjH Al7TwGWucJWlbPIMh7WRPuat2lePaH/dpv10uw7QJAWctp9hJwPtO3Qdyxhk z+aa+To3WE69s6O6i8HmoQyJ75CzzkriM5h363FOsCI+j7Njuofh5n06TPfq elZyiWYK439Fk3mE7tebFJlLtVhzGMmt+A60LN5bRzGa2/G+Wh7vpLmM4U68 j1bE39SxjOOufZVW6modzwRa7Gu0StfqRCZxL74rrY7318lM4b69VFNaplPJ 44G9XGu0QqcxnYf2Sq3VKp3BTB7Zq7VOU5rPLB7ba3SD1ups5vDEPlc36gGa fDdJ5pFHLtlkkUj8/77+AQp1ZEY= "]], Line[{1624, 1358, 1362, 1366, 1367, 1368, 1369, 1520, 1674, 1862, 1673, 1860, 1672, 1861, 1692, 1859, 1671, 1857, 1670, 1858, 1691, 1856, 1668, 1854, 1667, 1855, 1690, 1709, 1664, 1850, 1663, 1712, 1686, 1703, 1662, 1685, 1661, 1904, 1903, 1621, 1902, 1684, 1695, 1896, 1897, 1893, 1895, 1894, 1704, 1623, 1852, 1853, 1851, 1665, 1688, 1907, 1687, 1640, 1622, 1905, 1689, 1666, 1669, 1624}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak0VdsfB3ApZY5epFJIAxmiUpH6puFliheJkMxUpEGhiCiVokEDSTKH SJqkzEMy9EjOdU3XfI+hc48hUuF//m+vddZZn7X32fu3z/6ureDoZebCz8fH 95J5/v8m718Z36ZDIb3yt5LtrXE4GdeqtOlS0OCqvJt7eRwV78dfWh2ncD/M dVC84AfoO491/B5SqD6e1PJ27g/EVO/wMiimMF9q6+H9tmPQtmoKaSApyFQ+ u3sqfxRtmSv3KIjzMHhEZT9HaRQvCqaCP6jxEGrzTdE7YwTZQtMyD4148C8R kW/YOALTzEafPDceiiwctrmVDeNtYwepEszDUumLUc8PDWOy1T5y+BEPssVf JNXHaCS4zbskmcODvq/djpBIGuIDAuORxTzYRdgJ7tlPozZBoXh3HQ97veQy 1SRpHEnTnFnVzoOylKCGXgoPHmvfV2oP8hAgJ3V9rjoPEZfPrA+e4GHRtQSZ 8+8pSEcYZflN8qCYrMPnlUJBXuzqo+O/eViouS3IP5JCmX3kpOUUD+KhgS4J QRRqW5trt8/wwNZLCejwpODUVaDuxVg76UncLA8KC9/4XYpjvOnpn+kVxyhE j4pU/MvYKORVzG53Cqmzqnu4jK9HOflZuFHg+6/RcP2vUZBq/ywiyjhFud7U x4X53uOLlAxjs8Ph+tecKfwaNF6twfhrXZJVuiOFOsu36/QZywqNJdfYM+c4 I7zenrG4wwkNnh2FGOXVZSazaKzv7s+xMKYwanMhUoefRmmqQk+DNgVxc8Qr zqaRnfQt8ugaCrndqZTQHBrCwcvuSksxOThjahYuRCMxyKUkL/47MoUUJePF abzfYl3Rp/kdJsZjbn//RUPV20nTq3wIuqdr715cRKNgrO+6iu0QTi5eUmu4 lEbeVvFF4z8Goeq0XXm7PI3dHgOlP+0H4R+k80dvJQ3B28ENm74OoEim5or1 Ghp/tuj/ZWQwgDgt4Xk3lWkM+HyuZpf3w2vf89LmtTTO+Qzdu7W3H27BRfxG KjSeB7E95L+QyDQ3ORrA9CvpNz5hq5I40fY4SkqJxg3pwIuVkVxoCmZslWPW C+j9PGTJz8XE6XqJlOU03AtXicz27YOE2/3+N0z9gY0QMx/rhbHoWJr1fBqb 8x/Ytp3rRcEqkb1PBZj9WynN3jnTg1yHaoldA0yezYLKltj0IEUiafxHKQ9Z Xoqd2cXdmHgmX54YxYNxy/MprfXdqMjTk3vozoNAl8D0WEYXBl4RkUs2Mvn4 en98n3oXytgX3H1/UxgJi2jPye1ESX20468C5lxrQ1uSDDvxY+PV0GYmd2yv iaqdVR1glXOjExZRWM/+5GRxoANfjbbWt3/8jvZHVIB5HQdb71aULrL7DmGN D992CHOgvYNk1/8eQmSFa/0Bi3Z0PX9ddfPBEMo9598Oz26DQfqLtaXqQzA2 q7GatbQNhBkfUZQyiGyLYwu3n2yFWoFG9i7ZQRy8IvrzTksLxiwkRxVvD8Bx ndz2uzYtGMwe/q00ewBnzLr2/aSaoZFQJi90rh/1icdrHt9rxpdUtfKj/SQ+ XX7pf8aoGbd3clI4h0n4PFz+7uqCZswT9XrUlcpFrJ9l2rt2NkqO2D59/6MP zeyrgnQpG5N/+F319Pvwzb8m+koRGxxp7XC1p73IVKttor+y4SxO7hOd7oG9 ob1YxSQbPK1YZUPHHoSd5KhmbWhGzcNbkVq13cg377tgH9iMbcq5yq8lu3Fa Nq3XdaoZYjLrxu45duGWH+1WfL8FD9yEdzYVdkIyy1k+dE8rtvps3WCi3InG JtmX+UJtiLO/0PT0SQcisgZ22HHawB2+NvewXAeCNOXGjUrbYSDe3jlqwUGe SUOsXQ4HmR/8Za84t2PRde+cAdcOaOZrVajcbMMppwTLGxMdSEvOezRc1Qqz 5dmZDdc6Ua2/az5neSuuP7ByfyHThQz5CL+5oS0ITO6a1kvuQldp2MWb083o /FC1aUS1Gxtv/6OaFdqMzdGf009ldcOgZGBxuWwzgqRITqFSD9hHtDoNCtkw nyRElWN6EL7BSK/Rg83kZ2KdnkAvZO5UacivZKPyor9Nq2sv2Jx+udk9TTA+ YagrUNSLlGVLE7wzmmAQJEGMSPRB17LKsMG7CQefeW4Yse9j7hnz+JV7mqD1 4XXMn9Q+6H9R9vNe2oQ3HhnWxX19GFwrdZIaZ2Gf5lH61zIutMW9/ZsJFi48 XL/J1YQLKi31WXQeC/lzuCUffJn+iXnCifEstBEb9mTEcrG5MWA86AYLTfzH rjXlcyG4ZtuV8PMsRD0rlZtq5OLUSzG28nEWdgRbi3sOchFvVue6+jAL4h4t 9NlpLvR1QqIP/cNCR67aLLv5JIR3ycnE7WZBpVPa03k5iZ/nFeVZ2ixovDcp K1Yhkb3/r9HedSwk6H4782wzic1Rm2SLVjDr5xwZffU3CYGR+IOUNAvSkx1L /M1JtEv4pOuKsmAmoNnnZEfi1kI+qyB+Fqai54TkuzHjH/OUH0wSWHXdYrjG i8SSACx0GCagMqZgUnWOxMkpz55SkkC27mBlVgCJ5G/POxo7CKh5i5xICCGh t7/EKZBNwDbnwrv6ayRM4rTXZn4l4OeupG4fTqKzOMvDtIaAhGDGpmN3SKQE ia09VEHgNTETMvc+ibyOIPpnIQFJBzuF3CgSa/hNn8zJI+DTb+Y+7zGJjw7W WqdeEwh+nb9YII7EtUKPm1ovmPpWLbEoiGfG31g/YJBOwDmJ47UtiYTCmE5u ajIB1n7X6LAUEl+0ZO3UnhKwfLIqTCuNRM2Y+CGpGAKXvF18kzNIrHWYrWP5 gMD9rBGHrkwSl5bufj54h8DtDSK3Rl4w9bZk6tSEE6h+FijY8pLEvdq9q0ev Ezih78yNe0ViZe+f3TahBAo3cyJ3vyFRwRfVPxNMIJYs5VW/JVEWllTfGkhA dF6a95ZcEk/SE98o+ROYSVQL6X1Pwoo9fKDEl8CC23E2Jz6QiHQfn594lgC/ gYst8ZHE1Dn13rLTzP9RS78oX0DivGrAkRUnCbS52bmZFpJgl1mb53kSuFtt XOhUxNxbkUV1IccJuJtOxjsUk1D7NfLp/FECV8+mjxqWkIhYtSI4xo3Zn1HN cYVSEn7KdFSXCwE5tdOP+hif2anBLXNi6qtLe91UxrhJbLTDgQCluKstu5yE 77nwEA17Amk3OrmnKpj5M0TmZ9kRqBx+enD5JxK//DemHjhMwEv9hVMu45+O lyocbAgsKXr36UEliUFDUeuyQwTuGaj/NvlMYnjznURPKwJCwaJPuIzXvXO5 tN+SQN1g5TLXKhKrfRX6XQ4SMC3KHP/C+NbAv2siLAioTh/9oV5N4rB/rBjn AJPfLbqt/ozzIy4P/cPYyDNd6iNjR6mHN9vMCUTvoZ15jF3P63UHMp5pmBJa XEMiLNmUvYGx3JrhJh3GxITisnEzAmVnh4wOMm6bGzRVynhhV/w9D8YjIXxG MYydbKszLjJWpu9SpxhreuSI3WG8Ym+3qRljrwXRS+MYR2WrxW5n7Hghti2V 8e8t716oM7YROz+Sxfh/lyK/QA== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1QlUjdvfB3BCE5UmGdIgMkUqEtFX8zxK0oikRLoKN8qVTCGJSoUSGkwV aXAppNSt03imUlI5Dc9z5DSfc5p4n/e/13rWXp/17LX32r/9XXurHwxx8ReZ NWtWPfX9f6/Hnr1zv5gAzeOH13nd4sOz5uW5nzIC/HHP0P7lzMcavaCW91oC 1M/Z4Ot0aRxaJX4mg5YCdDpKTmdWjMHO9adizAEB1iZWrE+WHsMOKcOXv04L kHtSblnK6VFYCXuey90QYFtEptnqvhEEELsThGkCNEStrM3yGkFkZg8nI1+A 8ro1j698HUZutOMyqU8CiCgu07HzGoZEcPl7o0YBmn4+1bvSMwQ5S/lWw68C qPp1PJmfMATdTrnotB8CMO6+8OabDuHstRXWh34KoJ//8bsTbxCWXvSP8aMC yH1JE1uwbxAGv3QiNaYEyBez9eFW82B1zijPbFoAL6NKx+TXPFxeLq9xcEaA A6Pnv3jd56Eswro94rcAZOCzO9sv86C+N6Ll9h8B/ktcdGNTCA858u4huZSl ugufzRzj4ZFKzsx/lN9cLJ5HC+Kh42FgdA/lkD0LH6YE8jBvzmGTEcqevbIR 5wN4mPW/JsTh/zUezBNN3klRnlU24WLvz0PdCfXQZZQ1bb87bD7EAzdXqUOf suoxC3+RgzysnHXeyIVyt1j/2yZfHoLj994NptwqUmT90JsHPS1TQeRsIe5t NJD6YMnDK45SWoyIEKdf9FwZ0+GhwDg0Jn4Otf4ei1gTZR56DIb+TZwrRHWK 9miOKA9+U0SP6nwhYmfeHHx76hdon2xe/14oRLJcukYjMYBmSSmeziIhejcV zP3gO4CaW2Yn3i0V4tOxo+S+tp84JBO3OFVFiJex7nfPuv/ETjJzQFdDCHqf zj2fe1wER/12stcUgiAluNEcEs7y6QU/VwuROU/y21k9EpEbbfNk1whR2p/R wLlGYFhxQK6CGp9bFD/o19ePuzWinDkrhdiSm2rxzKofflVlES3LhdiaRUtK Od0Hs2djUkIFIdi1Vgr+eb0YE/6zP1RCCOXdXkeDB3vA+bJT3JXKAyd5caD6 th7oWJoHvOAKYFjf8PjPdQ7SWqyfX20RINrrUmRCzw9c5apVCsup/Dc+Cwgz /4H7vY7Xq9MFWHUyNn/zsW5I+H3I6afyv1mXVe+W0QWzJ6ZX420EuNOY/t/P 8k6c956tNr1EgM+Xb6jd9PgOD4mG9MO9fNyI7/tLQ6ID0lZtotK5fHy0U9t3 sK4d/wR/pemc4GOy40T7kidteDR1YPLRCj7M5eKMbtl9xSUf/eK4xnGk+r5w NlnYigXPzt0KCx8Hjx/7IWyAjWDNbHXa8nEk6NQmX+lkQWbV1JTUpzE8Fsvo mupn4tvGiCevfcfwvczBIGQuE0ql7QWrZ0bBKV7mmajHgEJZwvqpqFFoVtMl /7amwyCnYw9HZBTWkwoqo383oyLooULSxRGsnPn8S6msCbbnCFbxnBH47xgM UlVqQvXaHPWui8NQ27sjpUW8ERY19ZdT5w6DXWxRJynWAPskZpPXlSGszRdd paNZjyWJ6kWV5YPo2zjgtGtdHfKe5xY8OcdDaklG6GFfGlj569+XGP+C0JTb Glhei+nufQbLZAZwhKj88squFkdx99mzPi7OtY492f67BrV6KV5iNSSsnvaO X2bUoN3Hj/a0mMCJgW0rr9TWICRgJHVeZD8Ul3o+EufWIM5c3NPDpQ8bdMts 32ypRZWEPD93Wy8CjlTP9L2oxRq02bbq9GD0W7P9BVsalrYUmcdu58B1ofKW cvk6nJiINNy/+wfUtpZ+1Zpbj1V/wruYEd1YTDshGq7cgN5L93Zr/9OFmUtr Rv8qbcTxaV/XCu1O+F7QL9zT0IRJw/5na251oJJWU676vRlruvW765S+Yb2M X1fNAgbC6C66ZFUbVniabZDYx8Re+/zx96lf0Rnobzn+iYXzj922x99sBWu+ 95IR4xaEvjW6VvGwBeaym8SyW1uxmdmgdvQRG+mbr5yX6mnDrbe68tJDLKxL HBwbvfsNDou9tGpdWXhjPtJt5fQdWocneRfrmRjjv3fzmNeFfcknnHe5MxGe MvuvkC4q31XPO1eNMqj/84eYxd04VVzjeu4Bg7q/SonNV35gqfKhktcuDLzL mhHG2HFg40/jOyowQFQ72qwT74HqtLKSaBcdFzL9ZdtKelByW1rwqJCOAtG1 hZ89epGV/atC5jYd7XdCb4YO9aJql+5G95N02DCHac3hfUi+fTAs3ZuO2WMn 1RXH+sA7neeoYkdHYLE5mXewH6znx5JGd9ARKaF4JqW1H4fFXGgBenSI92kl GhgRUKmM2Jm4kQ5e1r6TskkE2nZpiRRuoKPvs+qJgu8ESpPXXVXdRMepHo2e TGUS40HJcVZb6PhgkDzg40TdV27H7xVT8x8KX6duGEFi8dOzVXMs6LhfqLHs ZDoJ/ZXlHc3OdMyP0hw3LyOxtCF+sZwvHbuUtjx4zCKRKRe5LTyYDpeiPbkp BAnv7gcTlZF0KE3lusoISDyoOdNREUvH5zTP+NrZXDgzM/2s0+jI6lSMDZHg ojdreZROHrV/j4TGGGkuVklauft8pGM6fnjJdVkuZu8snRxi0BEuEenUL8cF LVp9ZQZBx9c4h0felENmDyg4z9ARzfC3dFvIRWRJ1VmeLAPKLH7AKikuvrOV fQI0GXA019KTpta7fsHDIm87A0q/tUwt5lLzf7h7/a0DA7IBsq7C3yTuVxkX OxxkYG6vW4TrBAkTfuT7e6cYcABHEDhKIlY9NCM5hoHXB/602/wiIflqwR3j +wwM+UgLJftJJD5OeJmUy8DVqzeKirtIrPRd3nj7IwO0vRVf3NtImFpl/b25 mYHMTNfcCQYJryMcw6t9DHwYb8lQqyNxPHkwyWGKgY2Xvs7zqCRRnWBvcl2G ibNpas65pSSa1GtTtmsw0T1hs1CtiARHMubYfn0mdOI5nsW5JPLGPUemrZgI Gj63KSybhMGe+UuN9zPROTq41D6NRGdntHf2aSY2d4cRwYkkKppzlHVimRDa 6tq13CDx53j7sr4MJvpUjs27fpGEaLbi0dpCJmiXRlZcofLhujpoN6eaCYXe yk20MBLNOf0K/R1MGAiP+LYEkYiQUQ5ljjCxoW84zuYgiT3x8CgSZaEJap4r PEhIZNbXJSxhwfFuxWIvFxL80zM1Z9azYPv+ODlmQyJMWvWtD1hY09oiUmBC YuPEwCtxFxZ+j9U0ktupPNLsr131YyF2NUcjmXpf3f7V/sQNY4HlLF1VqEUi SqTfSSKKhfGpTb6pq0mcl1UtvnaDhelQ/qGyFdT+9CbaQ++yYEIqHVBRIVHl k/APLYOF3HeHe/9dQp1X+TeLiTcs+Eo+CI2TJVFWqvpO6wsL+nsf0HQlSRSf yZ1KZLLwNVVRJmkOiTovNZb3DxYsac3BmTME5DUyC/N5LJx5ILnIWUjgw+Kw hslRFgzbUsVE+QRkCzc1/xGyEMhvftg6SkDpgPvKzzMsaJ/ina8eJhC69JSk uQgbn5z+7GkeJACnced6cTaGjq/VmRggkOfelN4ozYaD8rCjB5eA24H9G9wU 2HhUtyRiqJ/A1pr0mKAlbISuj/9Y0kvgzaKdcYoqbAgvFhx9ySGgvC3c3kKT Db8j7CyFLgJCLsa1N7ARYtZbK9lBoH/SyH2uHhtFx68Xn2kjEBnrIcbbyob5 pYZ1jq0EqhcYOsvuYOMm3fZMBJtAhbWV+E2w8byk5MAwk4AUEXT0xS42AvSl PoZS5uvRwt8as3HB2fjfKQaBS6+eby0yYaOraRPnBmXvYx8fPzZlg212oWEF 5cu+stkXzNgoXL5a/hOdwDv31dp+5mx06jbqeVFGrZdgiwUb9Bj/lt/NBNaH qo5NUu7RVrmTQ/nvIZrkG0s25iw7RBWQgP02n3x/K2q8USBdlPJznuH6BdZs PO0/Nq+sicD21wKnHMrdNgzDcMo3beR6t9pQ9TZWUTWg/CHaRzfKlo1xjnNU diOBkC3iY7ft2JiWZolvoGw1fXbtaXs29ESCPlY3UOe5zdR/swMb9az5dmGU 7URGxuiU9+w17tWinK2v2XXNkY1hLebT9noC/qbCpEVOVP2tR1elUf4/4fKd lA== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFV3k01dv7NhSVSipJdCmSighJpEchQ5fqZAyVKeHKkBSZkoyV4ZjnmXOM RcqUeYjMY0o3opyD8yFdRdLvfP/67bX2etaz1n6n9e79vvvdZ+FIsmZjYWGZ Y+7/4VLffg4mqKj+krbWVHABy9K7rdSYP1gd0fnX2NsZGpECGyS//obObj5/ w0oHWP7D8VZYdxXRlrv2xaXZwu9AsqbGrRWkDisNnSq3xl7S45Sawp9ok/pl IN9kgfgquerETT8wPTvczBl4HbGaAR99jv6HJS49kwc/TTG+cPZdzL1FtLR7 quSxX8HF/XcP/uW+AK010lzfDUPEuN6V/2lCIPfJ3RMFDfoYVDbdWSQ9AxUD xnmFIj0kpEtukiN/xVv+9BzaEz3kS86f6HaaRMn1iP6xU/pYr61zU65iHHrs mye/PTOA+SPZLrfqjxAYWmOz/2mEzusxnrK5oyBklox1JU1RY5Zkqr13GDIH D1uM4Tpod1e4lTYPoMbnR91zfkuciFYe/lXRi8qSwDeSqjewziw+XfpKN/Qv mKYPKdrhSXv74NaqDhRoiGnxyzqiZl627lpQG2IWzjpvKXeBriT30fgXzXA6 nL+SnugGZ9kzqnknGnGhQIK1y+s+bktZiLesqwensPrp7i5faJ67eT6lqBbi Kzc1hFb8sC2dYfvbuwZ5VeEP3e88gv6RvMncu1UQnE8+5vd3EJamdu3vj65A 5hKDK+BxKL4lx419HXoJ1nTaSLFaGMgc5128FcoxOli+S7QxAn47FEz1P5Rh 91gqVecbGenRq/V6saV49CDIMcM2BjzfzmRsvfkcSnKOn5Vk4hH7Q2BNQucZ Erzk5U4bJOF371stJ/USqGv3bWJ8SkWOkIVe24FibOb7MtBrnA52Z/6L7n2F qC7oEvD8nIFLc54fjoQXgDOSInA4PAutQ+jbdzUfAus4NtZa5GDxsfhqthIV JZSHWjpX8yB2xrLHfBcVHa+IF6lZeVC3+dpxbYECE0liomImD77Y/Tj1LQUB P8t7k2UpcP/bvFg4j4K8f7ge6XhSMBVCrHhlUSAenU5OfkhBfHzX7Ps0CiYs kp4RIRRI5Ez5KyZT4PH6wb+qkRTQeTxXbBMpyOjy8WBEU5AQ/7/1/zhh32fb HkvBTtH+NVWm3M68a5a/mOeeRM99ZTD1RjkKUMyYejQ+rmtQZ/rhGrAlqu4p BbcrRApSiikgXdorKhpKwdnG7pzlcgpe7/E7dMSGgl83XZyWWaggxAfUXFQp 6M7U/P7mPBX+Y1f4loUo4HcTUHGIpWLRLOJs7WoePPMCbaY+UyFnXffp9FAu Bu9FGPAkF6Kv3O716focvBkOH4ROCdZf5R2arM6GBs/30aX5Z1C7K3bVoi0L Imqf7xVWl8Job7bs4kQmWAYnRnxKX8B+lm/6zrFMOD7J+Ojm8hLFwnq5p4Mz EHp7c7YFqQIqeTNyBC0dlxacFLj1qyAwIMYheTkdFCUPD3XPGiydo2xIb0pD iggR2fymFsZmXnY/lNNgKFCpliZUj0tC8Yl7c1Oxp96t4eXxBpx07T3i+iEF u9UHKgqvNOKYv0ZpgkAKRNtqeKefNmF3S0ifklUybC+Hv6/vawbLB8f768qT IPfpHYLFWvGp2anV7FsiyssO1YV3t8GL66jFM8VEcHVu/l4b1o7bGpaCPk8T YPn1NEnJ5i3YHlp6aM/FI7dS/uSqfhe82oN9Ewziccb3j/AXyR5oHKGGLL+J g4RQYZbwqV64BoZTaeJxOPuX8EPbhD6cv7W8tTM6Fu01Iq1NGwZASyu4Oswd ixvWuxd2Bgwil7TljGpMDLw4/D2Wtg2j0oDQJYnHoPCDmX5D7gimPVO26zRH w+ky/69IzVEk+AYEudlF4xXteX7jr/eg9p34nMMfjQTeI+IdZWN4fS9hUaov CqxGlkLbnP+FcI/zA3tyFPKCix2/xXyC+a/916pMo+BuHjF93nUcARc03IIl o/DUXnvb2QsT+LjxcrvG+iho33r0IVzsM/67WhU6PUjGJxZW0lvDSdQGs1Q+ f07GcMHxMP/7U7Ay+52xJ4WMWmo7Jcv0C9K/rn74HkYGT9udDA6Zr3gYcdc+ K5AMc9/358ZXvmJZPmQo3p8M1yl/nxfl0xA7sceJFEBGmdKx35rWNHiyH3xi +JiMK7+N51M46Ojem/RKOYaMlftjxkQCHbGfDKcyM8mYLLCuS94/g412nawl lWSot/kNVbTMYAfrR4v6ITJiLWdXSAazOOIb/UX2BxmaBflDh/pnUT4/cMlD IArxsY+4d2IOBUpkVwHVKLRMuXJ8SZzDgE8QudghCuyN4a0WM3MQufVg18eE KKTPdBodk2JAQ4nLw6Q9Ci/tXcyHbjJwbC+1wYYzGhz3WgYKMxlgU76oeFgj GkaqoVsf9jOQSenaQAqOxnymW+PpFQaU9oiZJndGI3rli6g3P4HmzSuNQzti MCR3RixRhoBvr9OfPhNm/qmWsi/OEWAY8Us4Zsdgh41JWoUBgWJ+hnrYfAwS v0/csrckIPYX24ygciyOm5xWtHMg0GbrY8gRGguZdx5KCncIjPzhDVcejYWP kfwt3Cdgp/JTgV2BeT9/SPDe8yWgk7bdzjk2Dm84JHkO+RM4Wiy26P0zDux8 BvtyAwik7dIiHzCJR2BkwT25IAKUg/Zm5rXx+I9sULsumICZX6yy9IEEJAyE K6kwef32idiIxwm4Gvhah4PJg2vqF+X+S0CvzdYlR6b8cNi0rd21RARI6m8K DyRwSkxbWq4jEVIfFo/fYdojm9vsiFZIgncgaeLwIwJq5XFG4blJcOyOZ1Q8 JJC62Tfn0O5kbC/4C4f8COiHXvlmFZKM2/mQ9GbGo8S1uu+yUAr4ZKsvK3oT sA+WUGZ9mYJZstO1EWb8ew8tcblfSkWcURenmTsBEoNc0MRIha7MKrXDjcAr /nmVuxppOK69QBVzZfo7FRvJEp8Ga7mlMkdnAupFJD/5n2m4Y3SfB7cIqHa3 GVgx+9aFKLHAZTsCLSTTa5HV6dCUu9CSakNANHrtT9u+DNAsN8rIWBHYv72/ cBuzPt78p+S/kusEyiRbQpO4MuGU2EOomBKoYU/OdYjIhFJyetlzQwKBOmRE 7cmCLn2Uvv4ygdJh1zTh3Cx4pgvuVdQlQFOpExI5kY2y4I5GXS1m/q9o25yc ywZnxbu8naoEtG5miTTn5SDZ4XdL3ikC1PTJwknbXNzUkVrcKE8ge7LjeLl0 Hlb+rVqRlyLAsxOix7vzkCRcXtt0iMCSyTtrNWcKhqSrqo6JEgjw3Ny0wOyv r6xUTb3+IhD298uP2nVUqK/4bM3dTUCQV1yUfTIfGw5Py0dvJeCxY0+K9fZC jAxT+YXXERDPuNtZeL4IqQ6KPOrLDAQ+iW/YGV4MrQYOP1YGA9mXvZ3pNSWY MdkwPfGBgS8yptzcdc/QvU0geLSdgSPsbNzVXc/xfFrk6PhLBkYGF/sP00vx NvAfqXnm+8vI2O0StP0FKGErnqxhDPiEjjMWNcpxo2S6kNudgbGooWueIS+x ZaFYc5cFA1FD0pxCo6/AJrGJxqPNgC53sf/97gocv5jw1kmBgYlb+Uq6HZXY PFthrCnGgMCzMb6HnVUw2zseGLeDac8xi41lqBoFmWvZ5iwMTFcWp2ZN1uDH Aodl1uwcHpd513M9fg3FkokQq09zoPLeCko7Xgubtqbhxf45BB+s4zMar4X3 p7vFpNY5qPp90iFr1EGt/XrIg8o5DGuz9h9brkPkto6PsmlzcPS8GltaVA9t C/5NEo/m0HhoV/WQTQO6NCbdnWznEPOi9ekl0UasXW0c2KAzh3tsP2/1fW6E X6nl+jWpORTq/9nBktOEOuMCxSvb5yBbcGHC3a4ZjlneDPHvs4izvmQ+It0C 586z426DzPr5d8NONWoLOL89s49omIX//nPTwqKt0KYHDfgXz2Lxj5qdXkor upZM0/WSZqHd7BnSuLsNLp1CPuuCZzG1i7eQRG6Dk9Q44u7MQisx4t29A2+w UH3j4MWrs9hWd9HY9eUb3H9tlTt7bhYxzYZWO7XacZK0RHeVmsWGnGDawdF2 CFPTL87zzeKfk0OdXnYdCK2PtbjBMgvpsdLW+bS3EOzc9+Nc5wy0rrFv4+7t hAvX5MGHCTM4d32Ek325CyqxpEr7mzMoY11rfszVg/zW5HcXTswgrYEU8SWq Bzq6niL3OWeQ37TC0/msB6MrdwT1ftORWS84ad3VA5fgKTOVRTp8g9yjiuk9 qK36Fq9Co8PJ4VljHkcvUoYuO+n/S0fA0BbRi/t7caNC0NdnkA7ejT/cs5R7 4dCdZ1XbQcd+Dcrn89eZ/HafkGEtHcvLvwat/XrBHtLBx1tKhyj7DqX5zF7M UdccV3LouNfzXZrW1ItJM/dTGxLpeNXrvPHCVC9kPCX8EEZHryWJSNzcBzZF VbZJXzqUzp1oYZPtQ6nziHyHCx1erUsZD4z6sE5WMH/Jio4zpHEePq8+iBSV NtoY0nHQPkahq6IPH/foezao0NGel3S/e7EPtwMjsxcP0/G6zNJb8Eg/ttg1 H/3DS8d7koRy5bV+5NCCar+y0nH5zPsvJRH9EJhfqSti0LDHIzRSepTJhbdl B/bRsK9oa0+c4AC01y49vfOKho3utuFHjAewtDS66pBGg993K0e58AGIGG29 Yx5Cw8Xl32vrGwbw+pAe5yk3GsIdzhZ1dA9A7b3lt3QnGhKNszLExgaY80hY s5Q9DT4nSyX46QPonkD3JPP/IPI8PDF7aQCMEzrWdddpaCmJKIr/zZzHUm3J U2Y0xG8nrzqsG4RWPcfwLhMa/g9/UGEI "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Qk4VtkfB3BN+4IkTbSIiIqILGWmLzIZUkzWVJaKsb6WvBQytomKpCJr 0mYtRXkzEUY1hH943/feyBKK81pKWcpMk/+Z+zz3uc/nOc/v3t/v/M49R+GI 336378TExK7S+7/nSCAb6tTKh8Z0gOKhpClEje280dTPx5x+8X8bDKeQqGO1 uWOGj2r96vMGzZP4sG0jK79KgJNhCSJL10n4ZAfWBRkIEDZlc7xgYALbGty9 yxwFSFoptWondwJRPWJHB04IcKnSon35kgnID/AefJ8qwGWepZ9d4Tgk12kM W5UKEBsf2mNqOY4yfpJ7I1+A2ake1ccGP+GUjdWR4XEBbF5Ld+TFfcKgDyNW s0yIFb/ocjQ0PqHG4cdz9ppC9N/cI7+96yPqbN5EVVsIYdZgVro6+SNiYgvV vDlCaCXrMZPbPyJs4QtZznkhLLY/GZwRjeHiwZLGrmIhuOt4PN9rYyjfp8/5 X4MQ6Z3X3ZIOjWFLG//T/ndCNBVW2jSvGYNh//7eurkMTA2t3JuKPiBeOkl6 hxKDjZ0h8zJUP+DVAv3LfEMGLqMmLhfuvUf2Kg+H4oMMGuwyKwKN3yM6meV0 BzF4XnpVdWvXKHryJx2lkxkUml/hzeOMYv4743eaRQwKzulaTi4YBQaw6WAd HfevHxUUj0Di7dsLZe0MHPRUovIdRuD27Y/ZluMMfCY49humh3FW/1VtyCIW mj876DjfGIalg/1zF3kW2TLu8xXshhH219Lr+losHvdN53ssHcb2Acf3G3ex mLV5n/aB1iFEaN25f3A/C66R+0adtCGkmQTzPjqzuDRyZumBY0NQJFu7l/iw MOjlrNXTGYJStK1TYzALSfHCfOtFQ1BLsW+TiWDBceT/5TciQswsaWFZLIuV c9UFyS0iCOK3jJScZbFQ8umTS+UiLAke+Ef6Agv0ab3af1UE874Oa9FlFo28 Xo+SOBGMnFsa5qey2P3n3tg90SKoC53l1l5h0ZZT+OlbuAgv36u5q6WxmNtv bd4QIkLEhR+atdJZDO/Zq1QYKEJq76ssC2q9Ehaq1AlF6Q7u1Ln6/ZduB4hw d/K0WCS1jIPdOmXqU4/PvEygRtbtoLf+ImSl/3ex8P9xEXuDurOk0u029d4w Mdmj1AsLB9XKqEcWr/RUpN7gYHm/ibptdYxyrp8ICtHdCgPUmjggt466Tzc7 YoZa2B1pmsMRIdhjpu9LBs1txEzyhqcIWysci4cyWcQ6KXtVHqPxEcbTgiwW clZTn4ecRVhdOjnIy6bvS9Vz3HJQhJOJb5/vyKXx8sM7s0xFyPR8pIabLOJr Jmb56tD53sNPar5N68susopTEqF1lV7faD6L54xkH3+5CI/v1abmFbI4e5dY /ThPhNKYRs7lYhYt/UFy5COB5YBM/KM7LJIGn76r7iGYvVvEV73L4u+TyzQT XhJEfhjb94WOGw2daZOrJUh6nbxNnzp7k/VKPCDoVWtX+VLE4o3daanWfGrJ uGseBSy8ai++vZpB4KObEClN8xP1NBpUnCe4mTXfVPY6C2NxcaOWWILrEroa qbRea1v+ppxwgtigUxXXab/ffWtMHuISCFLM1ttcYrFzfqn4b/4EP/+a1lqZ yMI8dNtCTR+Cjd7caxl0/f0WE51k9ytB7mlhp3wYC91pqR8cjhE8KwpfHRTA Qtq7caT1CEHgVGRM+a+0Pt+SjOPUxk8euMwcZmGRcubGV+rFogO/udqwGHI7 zden8ft0DPSHzVkozZm7+Jsbgd2wBPdPQxb5Xk803DwIhk9J5r3Rpd9vtB5V 8iYI1ue/tlBnEXL0hLYCh+YnXnZlsRKLxZ/lV5gEEMjnq3rKr2Jx4l8khgcR cM4/PHxmGYsc/fygqhACtyxxJzP6f5tM363+GkqwLUChQ3EWC5U+r6oHEQQ9 Lxq1fb4wyGlSbbCPJoj64Yuc4hiDQ9cY0vM7ge+CJ38YEgb1w/c3mJ0h0Dk5 OFL3hkG5vL9UcgKBn6WSax7dX1bpJNuXJxHYzo+TaGphkGHf7lZwicD7NeMX V89g3bhfhPMVgio33rOXNQyUi5ldHbSfzrY9FZkVDEJTkpavvkpw21spsK+U wa2O9EcquQSjxXVXMosZdD84pS52k2Cn87366lsMouu6jq7OI1iTVTTuncNg xfrIZ38XEOS3GGqnpDNwbd+85FoxgWdC5+mtlxkocL2KlpYQKH/trNVLYjBo qNVodZ9AeNbc3vYcA1kJS+VlZQS7HTauLYtjcNuwW76crsfX2rrNFrEMqkdN eDvLCdSXHfdcG0XjXTOe3uERVPsUVZuH0/lylljZUUGgy/LWfw5hkNmeptj0 mIB/IXf2Crp/Z7B66merCF7cf2WU6c/A/pVCq2w1zS+kSC7cl8FVzbbZkTW0 f13rp+U8GASHqkSRPwlUem086o8yyI83VmGfEgT8PfA+7QiDxz3zHjo9Iwjz WcM75cogpdBEvYv6rHazK9eFwY5aTTXr5wR7eH4FEc4M4p98/qmWepd1mVOa E4OaZQOzVf8iYB56P2w5TOuLL5aKopbWeucqQ20rrp8hoHaU+yXH7RCDBV+M phTrCWT6kh/W0PNpTk/uCR/qrAHDPAPqlsVbnuVRa+xenlflyCD8YuFQD3Vb brHNbmqpTJflMg0Eg+39NsIDDL733eFtSq2vEi9x3oGBSdNN9Xbqyc70qjB7 Bh3E0tL6BUG4qlJLih0DA+OJWxXUti66EkJbBgmJZj6SjQSVJsEB2tRhOoHW 9tTDN1oOedkw2L5w19N71AtSrSJarRncdzStmqA++YeX5mHqOe+nuKpNBOes OeVzqJu5BkJL6p/yJzm1+xn8lJRR7Us9Fj3P+Dy1SVZkeCy11KY0xFKnTS36 EE+dLXnxdSh1fmq3bCJ1r8TMokBqj1kr5iRT7zZf88yTmn9n8t5l6gdz42cd oZ67fHB9GvWOFSNv7ahj/Tuls6k1Y+fxLaitv09PzKXOHBkv3UV9i1ufeYu6 YuYfXwPqDE7azwXURtxxJ21qucqYruL/4r9+t06NGn2fZe5Rb3m+KUuZ+net Xf+UUpfcfPlRljp1b8qmR9TFEkuyllJzj1dbVVL/H3VlGms= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.3487500000000001, 0.7749999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.36875000000000013`, 0.7949999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.7999999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVdfW6NFgwWvF3lBiCVHsxopse0WD3QgmRrHEqIgSCLH3GhVBrDFY QBPRYO8eKyoqKopIEZB+kN7s8nxj7N/cd2xHni839413v+/zrzN+Y625zpx7 rz3XXHPPtS3HOQ+ZUNzExKR9KROT//27YPbb5hZLowzfXl5sGGMTqPQ8Pz0s cPh94QrFzz9bZhckPMriJ/NDx/cKIz+6z+OoC90uiTyMPIw8jLzpgefhQybc EnkYeRh5GPmRZmWmzOx5X+Rh5GHkYeStz1af3HnEI5GHkYeRh5Ev5txoounk xyIPIw8jDyP/dH3Nw8k2T0QeRh5GHkZ++JT6rW5eTRB5GHkYeRh5Q4/PAv8Y lCzyMPIw8jDyn9dt3sI7PFXkYeRh5OGgpGKPHeOPKl6FbQ/+OPap4jjN19Ls brAw7W/udG42xpihxG9vt2jStHBDjNvOci3Gb1bsDAMH588OEUYf2G+lo02b TmeF2x5Yubd0+Q1KzMpD00vWSVPqB1a8vs33kjDtfcefzEjbk67YVd3c5cz8 e++1H7YxTL3TLEvk6Y/9/B/2w9gPY59+fP310LdzPeasmzL3q29+NtSwTF/0 +XB/4SX3swbd9jAqlQcnloyd8JsyatkbO5/VmcrLAZNDDCkhSoeus9Yq5zX7 +b/zax+5DjkZpGQGFN4+VDxdabVm66PuHhEG64O/D7eeMUPxOhDadM23YcIF IWXmh/W7J3wwbumeLk7BwvJ8qezSoLD/3baXhCffuhV/tcxRYe5Xmc9/PZP1 zWm5XjD2tXPzPNd40DHh2KiAUyddDCLf4mVaxMqh10Qepv+V+omj/YKvCG+9 nzNqevQNkU9v8cnTn8/cFXmY/tOXFY1onxkivGv7siYmJqEifym+onHE7TCR h+lf1u3n3xJXPBB2/9Lb6kalcJH32WiRUi82UuRh+j+x2rb3wNYIYbviuxpv aBAt8lP7WielZseKPEz/41H7/NwCYoTXR47ccGBrnMj7vtmeM2phvMjD9O/d J+pevdgnwi+PfF1pQ4ME7f6F757RpUySdv9Upn9g/Xh708mJwk4/T1jvFpAk 8q6Bv2dZeqWIPEz/Wi9T76RmJwuHTJxaweGLVPEP9IfxN8xnng/mM4w/QR5G nvlOf+Y7zHyHsQd55j/tzH+Y5w9/gn2stzDrJ8x6CLO+waxXMOsPzHoCsz7A +HtY77/R95Pdnu2CK51TdtX8qVzDPhniX2DRR33e6Y+/oT+MPw1abkifb5dk iz+FmR8w/ddu+b6E3xaj+F+Y/jD6w/hbPX+W3ua7mUXaeuST7OR6c1GmMufi sss/dg23rbDk0eHMKauEI4c/HTvr+k7hB1GeIQu9Twh3dQvYN6bpOWHvoU4J oRlXhYN9Xe52PXVdeEe0wflw6bvCnRb3nvjd9HvCrutuT5tdK0y4YrthTq0X PBTu2z3q+57WkcKJqd+Oe+UZJWxRkPpdOdtY4ce327eMHxwn/GLoqzZPP4sX 7rPX9o+gSI3HNyt+5E5govChBb2a7x+fJHy7pFnrox1ThGuPtjuwLj1F6XDN 09Wulb8yamef8+vfXW/al7YZau36Q5pS2Ml+WaB5hIH2kLd15llcDxM+PfeC dY+Eu8INF9fqN67VTWGeR/j1gm/990+6KDyiUmHTCn7HhLNTTs+vHHBe9Omb 3uNus6dX39Nv56lqLecOSBfOKjt6/6i36cqMzNczE4/ekf5jjxzqZtro/nvy //Cq+8e3D7T581Xy2CZdlmcpbidKRZhe1J5/qzI/rTk7cK/EG229Z5t61E06 T/yAvPgHlcU/qCz+QWXxDyqLf1BZ/IPK4h9UFv+gsvgHlfEPMPEFTPzC875u 4jGXwr4ZSgengXvrHrmi2EZMrVXhmXZ9R6an74l98ruSGdlui8vWgPeuZ4ad V3aZUk+ViT/+WCX2yi3FouXls6YH3/GJ8pccIk8qy7dfrFeig3a97wTdSS/W yqjMdBidcK/GRrn/5fcdW+fjHKh4VBtj6R+WqfhUuNJl75SjEj8hTzyGP0Oe +EyvH/69YmS3GsmOd5V2q2edmFzyqTLKb2qR5y8hEn8Rn008MG1bq2FPlVpH ziTvuXRdcf/1+xWeQ9OVtxbVllc9Gyz+8crODsc+Nbsv8aH1wsstAr8MVeLv pDtMddTixRmrhi/o8keWrIf4y0Flz6Z9lxBhaHltdV/DcF/bKmU9gmpX0Nit 2aGaE549EA5slt/lyM0wYdZHxjP/0trz9ZF70v5okHHqwdi7wjPjui/IWndD OC3u+vXVHW4K87zCrJ+MH9Cgo7OF2WVpb9fgSONFYy8KZ97svfXzcYeF428N aTruyDFhnh+JJ9X7s7miZ8DNUke0+ew7Isks+oI8bxI/qu0FGeND3fdeFv6u 5Mwn24qCpb/Ei2r7r0Pnh5jdvC1c5nhQpo9nqPSX+FBt3+M4MGngM+35jJn8 IP2b3eHSX+JBtf2nCg4J1cwihI/Wjk+zOhYt/SX+U9sHXZr8JLZWjHCvFPf8 HxPipL/Ee2q7Z6czzsN8tOf/jwvzZo2ZmiD9Jb5T219VvpTZoZ62HtTcujS3 W0GS9Jd4Tm2fkHF9Wt19mv9YPGuNS+N5WjzHejz1cWKTsFhtPRjluCLixcsH wsxH+resP/zepMB70t7BNqeoxqYbwswv+idfXZWVX+yytP+0fPeWOTMOC+Ov 6F/t68kZC9zPyPPettW0mu5Lr2ms2ivxnGpfR9+H3yef0vzhyMZbnbPWZch+ k/GX/Hb/8221Qt4bj/UA+d0ej9OCu2dK/JgeU3tvD/905egXWy51PvWrcqTz kxIrXbJk/LGDczaU2pOmdPUrYXmu9T3ZD15Z3WxEP58LiuvjoJlzN2coh1cu OzHw9VnZbxKvzZvVd+SRlAzlwvRuBd8EaPGdb7/bcXWHbJTn7cTqTh3day14 7/nudd/YMm3wSQPxGky8BhOvwchfr3crvkbT9SIPIw8jD6flfZPmsilM/G3j Q1k9YoMeC7c6YRjU+FW88J2Ny19Fm6cIT3P9cp9Xk6fC/xhafXj/7lnCYZuz FpgcyBFuuGJoeNTJPOFZ7ieanbhSIHxpYu0lG+4+E640Yn7ktOgXwmN7JbTs l/pK+I+2fZY3zH8jXNRg/+OioqL38gXcL+yFsRfGXhh7YeyFsRfGXhh7YeyF sRfGXhh7YeyFsRcmHj86zPJh/Y7ZYj+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2 w9gPYz+M/TD2w9j/3cU9Vb3m5oj9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9j P4z9MPbD2A9jv0Vzq+ElLuWK/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M /TD2w9gPY//9rfu93Uvmi/0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w 9sPYD2P/ilItHhj7F4j9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD 2A9jv63r4cqO6wrFfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyH V4R+tsnqjwjZ/xDfEG/FX3N43j8rTtoX+DfwK1YqSdhi6dPBJy2MwmfHH3k7 vV2GcLOd58LM92YLz1lvaZ15OFf41vyli26czxeu5Wx8tCe4UHjK1wNbLHj4 XPjkwENLHeJfCpfuUjW6XeZr4ZHWHq3NX74Vxl6Y+4t9xKPEg8wHyReo+7/y /0go+CoqW/iK+8QvbtXLFf4x0ehq65Qn3HzwtKOB+/KFE85l532aUSCsn1/6 66+Pr2hnvsHMN5j5BjPfYOYbzHyDmW8w8w1mvsHMN5j5pn8/RLyB/ay/MOsR jH+G8Vcwz+8209dePqvvS/xN/E48zfubcnkL1pS+myX5Afb/xOPkJ9jPtI/a /l2gY4DEvzD5ihn1o1tbdj0ivPaHhdMsOu4ysN+iP0z8zP6Kdph2/h9mfJj9 iz7+/7/N7zLf2B8xv2DmF8z8gplfMPMLZn7BzC+Y+QUzv2DmF8z8gplfMM+3 Pt+cnVfh06//Kd98K2bFmdh/yjeHno6yDHoRaIBvdV207sFVf4Nr2/JesWaP ZL+4fUa3bS7DooQfPR/k5l8nTjjdZ/JPWRefCLuFV2swpm2i8KofWn7mH5Ek XOV4zJ3KdqnCVsOe33fMMQof9vafEzw+XTio9YUFlc0yhfd1POF9oUu21r/0 lWoTKuYIP7eq/XRbv1xhk+efTetaJ0/Lx9aY3819eL6wfcrqy7WtCoR9SiVs GvJtofCOh1k1n7V5Jpxc2Duz2bTnwplXh84IVV5o++vk33uaebwUtjl2IujA gFfCS8LKb0tc8lp4zZ7adVeOfCMcemVmjmH9W+For/mznMYXCc+0f3xn+f8h v8v9tGlnXn33wWzh+NgjDyqWzhHO3rVxRNU8jX3s2ldZbJcr7F+hps/y9nnC dqdODy1Yr/HoOdvDXszOFzZpbOs1KUzjisZ6VadeKBA+vuFiaETNQmH8P8zz rc9HOpbdVLrCP+U3WR98+lWNrL0nTTk9MupGn1dafgF/O2q6Z5P4vhmS79D7 W/KZkn9T/a+8z1D9L4z/hfG/+nypPv+sz5/o8xsfyjejv/hf9f/LL4vuMWfZ MeEdw4ptujtqm+F/en6WeA5/+NbTI/O0Tbg8P+aVHyo+ltHCxHf07/SlWV+r qbGaf0o9fGuhVbww8Z/0X3brbvDtBM1fBf3k0aFrsjDxIf0fOXnPXZiUIu1O ft0bZ41MEyZ+pL9bD8cmHd48lfbiS8rc93PW/CHxJf3LVNrwvXsZzT/atzIq B3to/pH4U95nmhReHFJN85e+9Qf6rPxS85fEp/Tfl/VVjeafav4zu8KhdCcH zX8Sv9K/MObcdLPmmj+1LarSo+skzZ8S39K/d4jl1cSOmn9dm/njltqzNP9K /Et/73NLa1/opfnb6MfRWYXzNH9LfEz/xACjy7bBmv+1vt21d+gqzf8SP9O/ 7faB193GaP74p7N7th/w0fwxzyfxMc/jss9zj4ZP0Ngn/X67aPsc6U/8LP7a 54f8fr9r/sfuq5FugzbmSn/ia/HfxV+0OZupyZsERR67EJEn/Ym/xZ87z5nV vI3Gx1t/XdDaokD6E5/T7hhddNjXXeMpvz5p6zeuUN5X8bwtCva5Zt/5gbIu 061Dh0Dje++b9O/D9O+v9Pli/i9uvv2z78pq+TPiPeItmHgLJt6Cibdg4i2Y eAsm3oKJt2DiLRj9WL/QD0Y/GP1g9IPRD0Y/GP1g9IPRDyb+4/0u8SFMPAwT D8PEwzDxMMz4vC9mfJjxYcaHGR9mfJjxef/M+DDjw4wPMz7M+DDj8z6b8WHG hxkfZnyY8WHG5/0448OMDzM+zPgw48OMz/t2xocZH2Z8mPFhxuN9PePBjAcz Hsx4MOPxvp/xYMaDGQ9GnvoA5GHkYfpTP0B/mP4w8QjxJftJmP0kzH4SRp74 E3kYeRh5GHniU+Rh5GHkYeSJX5GHaSeelXyVvp5VZaln1bXzvlvqWdV2yZ+p LPky6mnJl6ks+RqV0Yfx+T/el9MO0877cZj33zDvt2HeX6OPvp331WKv+j4a e/TtvH/Gfvozf2Ha9fWEku+i/pj8IvXHKkv9scpS/6uTJ/6gP8z/EW8wP2D+ j/iC6836JvXFuvmgX09ol3yeypK/U1nyd7r7z3iMj/+nHaYd/007TDv+F8Zf wlI/r84HmHb8F4w/Yj7AtON/uN8w7fr6du6f1HfrmPvH/eV55n7yPFvtGG6f VTZZoX53leHn3R0KnijU04ZfXJ3xyZkohfpY6k1tki8vdbPOkfrVnCF9rqbO yFXcfj7lH1wjVaG+8gffoVtPh8Yq1NuST6QeiXiQ/CP1rT7bl/r9EZIj9bID zMySLCvnSX99/pz/43oxPvsh9r/EW3DQnLpv/BqmKeQfYfKT6KuvF4XJl8Lk R2Hyq3DHhMtdB+4OF+b66q8XzP2AHx3MeVG5WKIw9w/GXuI39nfYC0t+VN3P SX5AZdrZv9EO085+jXaYdvZntMO0sx+jHaad/RftMO3st2iHaef5xN+zfsDM V+rpYerpkWd9QB6mP/X0PN+sF/grmPtH/TtM/Tv3H//Peor/h/EHzEd9/ba+ /pt8H/5fX99NPl/OE6j5f9ZrqUdXmf9nvvN/zHf9/5Nf5P8l30j9IvWNKvO+ gXp1/A3XWx9fox/PF/X4jCf1nyrr4yvG537j73m+OO/A/cW/83xyHgF7ia+o r3/SovjELquy5flkfawydeHQhS3Txd+YTs3vW/5oqrRvjj3UbMdc43v7MfJd rJ/69xMw6yfMfISZzzD+EXb94nTP0XHa+sr+lHb2pzD7U5j9Kcz+FGZ/CrM/ hdmfwuxP4fUlE5ZcjdbW9+f1F5pEuhjf26+tPtGuvPecCCU069raxjeS3tu/ VDtexzS5ZrxS6/DsbmNHPJH1uf/Eby8XK/lY0Z9P+3fV93O/mpgOjX3d2qiE eMSXrO8VJOs147VxaGqeMylbmffrkkk2l8Jk/Sb+ujNtwLN9U/KUCZWCwq5Z Jyvx0VtXmQ6IVvYPq2WZ+fyJ0jLUpX5MowSldXu3n7eOfKzsmVc6pNO7fhXd dl8/832QIf5g1Dar2TlK1znjfd+MfWDoa2776a7NuUqLeSG/ezQ0KkMLguad 3BhguOc3xdz7gFFxsbpocWWvdt7gXz1/ML6w37A2ae/8Vs/uJ847H//geYS6 owas8LpsVDYFu5tZntHa/+x8Qs2Ly6tMr25Ulu19a7Ps8F2l/YbAYRGVjYq9 abJViRta/z87v7DyaH4Hh4GpyusfylYvFvzgb59nCEle+7mlX7LsH8b8cmhE 9cREZW2Ca5PfrsYq5g13B17dkajsHV0zs3jHv3/+4dY3t30PbYmX/Ue/SlHT x4yJU0JXDRkT/YfW/8/OR+A/+m+a/kPNN0nKp1GTzpvujVTKfb5k39jeH89P 6M9PPEwacdZt6R1DB8cZNWz/kav8dtYmOGLSKYnHZX/f8oJTJY9cxbTc5aLB U+/Kfqqi36BzOypEGOZdXNNnboM8ZVT+sU5fDnh/f/XM16tHtUsHDDD51L96 HgP5O52v/3JuifY8sL6Ot1+VMsdXW28/dF6D9XPSJ3e+vjFVm/9/dn6D9dR6 z67h1lbafPxXz3Ow3/l9zajV9V5p+53Epi8+WZ6XqyQce1HqXLBR8eq4KKhN 5C6lWLeNgZceGpUjQZ/YvRn1m5IR8Xh76OhkZXO5+QeqX45SBlQeMOiwabxS edzXLq9rJiiTbu+reyIhRa730oHBLWLe+Qe43NzHg9MGv3suDDsnD9/zSBl2 7ETJ1nPe2RkXU+3+micfPD9Sa0nF3IsWDxWnkotazi72rv3myhnu+3cZbM4W LLIYkq2E2TRfduqrtPfu95+dJ/nQeRHDl4OWlvDV9k9jvr1WKeXM+/mdPztP MrFaixG+jYwSf2/qM+F5v8+MypUf3iwKKhVg6Jw59pr7u/W4p/PDb8y9fAzV HKrO3vZUy9c4N73h/HuqUQl+Ps98Wd/zSpkbjk1HJr3bt31RZtPh4ReUyLvP Rzkc1fI3nvGz6/v7GRXnnZFrQ3ZeV3q5WXUvu8CozO7WK7ut600l1PPyg9hE LV9Spe+zt1VvRyjzLWvPmrg9ReKzncV3zIvL1d7nEk/ozzeVGJK9qfqJALne lvaPfvCv4v/e9ed8EPE5463a9Y/MZt+d0frvrj5/4unzwi/X1t7iu+aa8KK1 G+1NE68q/+p5EeJz/v/8gEa/u1QOkfHa2e3PLXf2jvDJJXX9zxXcF563JHKh s6XG5CMYr874Xc0bdwyX9hHjk4a4lnsknN/tQFGTRtHCp7tNiYq2jxLmeZf6 mvqtV3hNjpX2fus7PZxhESe8Zf4Oa7sm8cKzi+bUanThiTD+hvFuZMbNMLmV IO0p04sv/qxdonD7rydGFO+eLFwzpue1qPAkYeJzxisRMCN42qun0t7AekO0 94R04Vm1C1vPcMkUHr7tQf1+pTQuuLriTVKKUYku7WdobHlU3rcy/pBe2ztv MMuW/mNLHLjiZ6tx6Tcxzl49c7T5YhOSPL+CxuzXGc+3rcmGaVVzpT0wv2Lt hf01HpXePWi6fZ5wX+vWXRxqa8z+nvGyGzil9rXMl3aTRFcXxxEa74vyr9Pf sUB4c20fr3afaUw+gPFsK1+3bdisUNoH3X90rf04jQuDy8xqNPmZcHKZl8ZK bTQmf8B4a4tbbyzq8Fzad1yysag8XePep6ffMHF9oc3/l2O6ZthqTL6B8aJz 1j2N7PlS2tMP+bpmemjs/Vtovej5r4SXGC/6XO+vMfkJxrN+ktftuP1rabfZ aXrzxlKNEze3czux+o3wg0eNMnaP0Jh8BuPNuTtys6fjW2lftX6ypZ+nxq1X bL21YVORcMPrK3vMH6fxXz1P1rRPl7J+94xKvaoNcj95c/kvny9LXTd45pWq Rsm31LxVbL/dqVQlrlfrA/eC/vr5s3bBwUejK6ZK/qXvyTbuBtdUpXvrheXe VHugOI9Na97EO0Vx6vxmYaXj4Up0JTsLp7AUJWbMnO525x/+Pz+/tm/erGtV 7idKvme2bTfryDaJyqpr9ZLqnf7PO9/WafTimJLlY5Wb2aMer3FOUrI9PB4f ydXyT+Sjrg83P+dVI0mZV/9UXq5PlPK0R82d55KSP56P052Pezi8d7JV7v33 xv+z83KuFZ6OH99igsGi5N7khyWyldfmv1x9UeWqwcbU0d11Qo5y3Px1z6MZ Fw11bpR6+KxVjtJ8nuOYk1mnDb6WVcIbpmYr4a+sejSdrL3P9XzR27Ps5QTJ T5FfNH++wH5FQZyS3buk/7KX4cqtUiNCx9inKj9eq1/4cP1DyeeRP5s0Y2GM lUuqvI/Y6tn80777UpSAkSYBu7o9kvzaMO8HBdsSt0i+i/iydEh0L9f62vtH e4+242p65Cj1MnbUcbqe+s7u5hua+R83eH0btfzURKNi1sJp39HqtxXP/PM2 X1xJVoa8HVDj8NxIZW6JHWX2rUlSRsfcbuVZLkZJ2ZoWvfNcvHJgR6k+ikO8 0qha9MiwZk+UolVhVZanJyi1br/0fpsXbFgS32fr2ss5St/z9S/Nq3HY8Pba yYrLf8lWOsVVf2Ry/KEhsnepgikxuYpVn2VW6yqEGtpX8RgzYIh2noX8G/ka mHwNzP4YJp8Ek3/Svw8jn8f4+vOBMOPDjA8zPkz+Tp+vg8nXweTrYPJ1MPk6 mHwdTL4OJl8Hk6+D0Y/9KPrB6AejH4x+MPrB6AejH4x+MPrB6Mf+GP1g9IPR D0Y/GP1g9IPRD0Y/GP1g9GM/jn4w+sHoB6MfjH4w+sHoB6MfjH4w+uGP0A9G Pxj9YPSD0Q9GPxj9YPSD0U9f/0K+An1h9IXRF0ZfGH1h9IXRF0ZfGH1h9IXR F3+OvjD6wugLoy+MvjD6wugLoy+MvjD66ut3yO+gP4z+MPrD6A+jP4z+MPrD 6A+jP4z+MPrr64fIP2EPjD0w9sDYA2MPjD0w9sDYA2MPjD0w9sDYA2OPfH9K tQfGHhh7YOyBsQfGHhh7YOyBsQfGHhh7YOzRf89P/35EX7/E+xH6w/TXvz+h Ph95GHkYeRh56vmRh5GHkYeR5zwD8jDyMPIw+Svyb+RzYTlPqOaz5Dwh3+/h PKHKcp5QZTlPqLKcJ1RZzhOqLOcJVZbzhCrLeUJd/Q77Q5j9Hcx+jfkKk//R 12exv2K+w+Sf2N+wHyH/zn5Gfx6R+A0m3kI/ffyFfXJ+UGU5P6iynB9UWc4P qiznB1WW84Mqy/lBleX8oO76sj5LvQzfD1WvF/6beF//vUzeX1Afw/ceeR/P +3H2G7wPp75FX+/D+3bGI/8Moz/zl/wn1xemP99fpD/5DfrD9Od7i8wH9sv4 Sxj92e+wH2W+wPgf9p88f7CcX1T3j3J+UWXauf60w7Sjr5yPVFlf70I7TDv1 BlxvJ4ek3xxtMt+7/nzf8iu/hiZ1GmZLe7FfRuw3a5IjvM97xYhnLXKF7dec Lpb0RZ7w88XpAaGd84V9Z1uMutCtQLj3LPtPDvYpFM6csujgtoHPhH3GHf1q 5dDnwrajk03dv3ohnDi4RqDTNy+F1/Tr7zBkwiutHqzbnJJdv38tHN3h4KFm Lm+EF7eMc6zt/la4qZV5abO5Re9dD77XyXzne5lcf9Zb8iXUyzF/+F4k/Xm+ 6M/zQT2JfM9RvX/MRxh5njf6U68C87wjDyOPPfTHXn39HPIw8swn+jOfYNYb 5GHkmV/0Z36Jv1DXJ8lnqYw884/+zD+Y9Qx5GHnmJ/2ZnzDrH/Iw8sxf+jN/ YdZL5GHkmd/0Z37DrK/Iw8gz/+nP/IdZj5GHkef5oD/PB8z6jTyMPM8P/Xl+ YNYPOa+k+n/qO2HqR/GnrL/Iy/kltb++HtTfEGzqcCxP5Dm/hLycZ1L7m7it aeg9UmMH60E9b7/IF3nOMyEv55v4fm18BaeS2zWuuOXeYsVWO99EfCb1sOp6 y/PKekt9GOsh8nKeVGU5T6qynCdVWf/9EPw//099Gc8v8RbrI8zzTz0k/oL4 ivFh/A31jPgn4iviLxj/Rj0w8S3zg/pi/fygfo54jflAvAxTj8z8IJ7j/sNc P/wv/pn7wf/zf1x/6pOZr+RLme+08//ow/zk+pMPw3+y3tJOPop21h+uH+sL 6wmMPPki5PX3k/wC80N//9gPM1+5X1wPrifXH8Zeni/6c725PrTrv8fwsf7x P7v+8b/b9y7+0+otP/R9jQ/VY+rrKfX1kh+qh9TXO/7VesUP1Rt+qJ7w4/dD /rO/H6Kvb/y73wv5q/WQH/q+iL5e8t/9vRHWK/mekK5+7EP1mfp6S319pb5+ Ul8f+fLlsZ82/tP7WvIDTlvKRLXZp50nxL/p6yH19ah/9v0B/Xkx6if/6vdN /m695Yfq7/5uPab+ex767y3o6y0/VC/5X74e8i9+L+bfXe/4sX7xY/3ix/rF j/WLf1a/qK9H/FB94d+tF/xQPd/frp/7+P2oj9+P+hvfj/pQveB/9e9F/dX6 Rn29ob5e8v93/aH+PI/+e18fqk+U7x3udzi9pGCWQV/PqT8/pP9+3f8C+8B+ HQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdzlkUUhnfpaQQSIJCQQgKEGEMgKqigkthRIwJGBAWJIgJKVOyKAioI 3+y99zp2LD9AHXvvMpaxzFhGxzY6Ot73nOsd8+Ga3efs2X3Oc+85530n9PbN XzsgpfS7GCj2EzPEzuIAMVO0iYPF7qJdrBCbRIMYIrLwGUvEYjFKFIvBrA9l 3ecfIuaKQaKk3/pwUcS+ClGGrRybfQ8X3WKYqOy3XsUe244SPWKEGCNGsnaJ 2FtMEdViNOvLxFIxVtSzViOOF71ivKgT41hrFLXYajjD7z9dNIlmxjrOWyNW i4niUtEhWsRUNM5o3I4+GU0Gcw9taDcAnQprxei1QMwXpeg6lHOGoFkxmpWw VoRuZayV8zwc/Sr4phq+twzbSHStZM9ivruStTFoWoG98FyNdks5s6DVZLSs Rqc69K7Hbxy2WrDvBHEi+taja3+9m/BbKybhv5I9DWIPMR39rbfzeRDatqHb gWJf7idzR4Xcbce/k3N2EnuKaZw5H22s9Wbuezcxm3tvFdvEVs6YRkwtvH8m 7+ngXNv3YX8r8e5FDHPELLELMc4gzunYHdtysTFFDs/mrF3x6eR854TzxjXV hd17D01Rq4OIuYtvmYo+hXfuT+wbxHEp6mgue4ehh3VxPZYyL2Gtm/eXMPe6 a/wI5t08e36BmMc+n30Y83n4DCPWuWhoLQ/izvzOBcTgvF1CnBeKRdjdN45O 0bv83EPsi1izzTm8DD17sNu/hrXxnOt5FWt+n2vkfDR1jOvFQr6rCh/vO4bY vO8inkeh6zJ8FvItpfgei31dirpqxnc58ZwqzkpRD64v97UGcQJz+9SzZvtG 1mwv1JLryLXlOprIvhX427YS+0nMbd/EcwNrqznjbOZT8F3Vb30N9ovFydgL 76jHtga7x1PwX0usk4m7lzs5TfRhb0KfRsZ12PvQyPqcib2ZM/uwrybuZtbP YO+52KcwnoOPa+W8FPXiPHXuOj+d1+u5O9exc8L5cGSKXHSOuXbnpKjBPuLw u5ybzgnng+98Q4p7/0vcnCJPV6Gd9XHO9eBfqUb2GPG+K95M8Vs4QvZH+O6n RFWO3vOsdczRK+o17kgxf1pU5+g5N4k/if1yMTpHL3vc78zRYxo1Tsz/98Kt aPKCeDVFjxub49nz7eLTFOe/KMbl6FvNGq/WeJm1yPHseZPG11P0xkmav6Rx i3hNXImGVzgXcui6gHitcwcxtRKX5y2Mm7FvYe6YO/FrQYPtxGnbNnzuE8U5 8tIaPJFChy58fMY14mXu/y7ff45auk38y93eIH4jX24Rf3P/E+T7Aflxh8g5 6vweMTTH/e/g/nxf14lfUuTgA+KdFL85r3Bnvq8xOTSahfaf8V0/iR9T/O8b KJ87U/SF58kJn1+m8aEUdfYhultzx/gRcT4oSnPU2PfihxR9+T1xP/EM0frd KfqFf3RvT9Hz/hA3puh5n4iP0fI5UZejxoo03puiNzhnn+Hb3xZvpfjN+1Vc n+K34h9xa4re+rO4NkVffliU56jtN8T7KWrka/FNit+578S3Kf4Xu1aeTJFH X4kvU/x39t37v6Z7Qm2OPHYOfy6+SPHbaY0bqCPn71Up8u1RUZGjj/wH8DPb xQ== "]], Polygon[CompressedData[" 1:eJwt1GWIlkEQwPHZ8+w4A0URxTPOQ0/sTs7GE7tQ8SxUjFPsOBtPMOHO7u4O xG6wwBbjg93drf9h5sOP2ed9932f3dmZje6R1HpQhIi0RySO4jNaYhzmIGcQ GU4sieeYiapohGP4hrZIxhpEML8nsReO4yc6YjzO4jLqYCo2IBPz+xMH4DxK 8JxCrIxNuIjqKIczyBxs7hS8xSxUQ1PMRR6+H02MxWlk4LkvcTLWIT3PfcQ+ y8t4N7G8v+MU0gVb+ySchPCcSJiIw5iP2v7OE/iDLpiAI/iABIzFbGTn90OI MXiEGaiCBijId/uJFVETV3wPsZ6jAny/j1gBtZCV5y3EwUjCSzxAfTTGQ9xH nH+Wg/nbiMMwFBmD5VBz1w9Zgp2JnsVAfPQa0LNvjl++R91bJ1/7UzT0Pfz1 HGluuiIyWM411701dcFyqrnsjmd4gjL+H6m4h3iUQhquoS5K4z0W+lqa4TdW +rs64xMWoxVa4AeW+1o7iNXqazQRq9nvYjWptdjOa2G950Jr4h9W+1q74Tpu +Flo/WmtbvRcac3ewW1fez2x2l/re9ceeINXKOtruITN/l81UIT50cF+qzVQ nHGxYHufhnMoGmyc4mf7WKx24jyXL8R6UXO6C7mYP1KsB5Z5TjQX2oOrfI+6 t0Ss8JxqLrWGF3jONdcJvvZ3Yr2le1jkOddc6x2xBF/RRuwOmCfWI9ob07Fd rAa19vQO2SpWw1q72hO3cNPzoTnOHezO0btmlO9lp491T1HBekp7SWv6i9gd lOw1cEGsB7X3tEf1bogJthZdUzbGO4gjxHpoL/IHOwvtsas4hEpiNbgH+YL1 pt4RB1AoWC/qnMLB7iy9q8bgLg76ON5zs1Ss1jRH/wGtAKQb "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl3WUVlUUxece7O4ubAQRMZkBBiQFhxgapIZQQRgcGhSGcUBCRBHEQVEM BFvsAhQVO7E7EJbdnee3zn7r8cde58V379mn9n1f7bLy0pFWUFAwJxUU1HJ7 hdvljpscC2WXOT511HEc69jgOMZR3/GR40NHXUcrx0mOkx2tZU9xNHcc72jo OE32BEcL2RMdLWVZf4ejgaPY0UzXrG+j/U51dHQ01W9OdzRyFDrayRY52ss2 dpwh28TRVb7x2Vb7sb7TZj47y8K9VBbuXWRZv0ocOjgqHAMdZY5u2pt89FAu 4N5TFp+9ZOHeWxbufWThPlj+4HumnhFHP0eJ/JaJKxxH636QUKr1a/T7vo7u 4gWnIdobvo/p/QjH2eIN33Nk4TtMFr7DZeE7VHuw91myrB+pPeFbLtvfMUp2 gOM8WXJ3rvYj1jGKgRzc6ljsuEp2lmO2Y5xiwP94WfxPkCWOibLEUSke+J8m i//zFQ/+H1cOLnBM0TVxTJVl/STtRz4my7K+SvtViOME+a9WbYhpuuxYxwxZ 4rhIljgu2cz/hdpvtGKeKP9zZPF/sSxxrNXauY6Z2g8e87QfcVwqSz4ukyUf C8UVjvP1jJgul4XLFXoP9wV6xppFekYcV4sfvGrEY5bqN1vvxqq21O9KreN3 T4j7Esc1uiYf18oSx3WKAe7Xy8L3Bln43igLx6Vax5plekasyxUP3DO9457e ZLbQmBV6D8dbFA89eLOe1Wi/ZfI5QOvQkoGyzOdTjttTaFk2V/Ql2omOoqdP O+5MoXUvOx5IoUvPOO5KoZvPOe5OoZUvOu5LoYmZ9qEjLznuT6FrzzpWptDZ 5x33pNDYVxwPah33aAKa9WgK/W0qrmhgsTg1132m49y/6ngohc6+5ng4hc5m Z0Ar8Wujezi11X0j8W2b8vOAfXsoN8zwC457tV92TrQQv46qU6atPXRP/fqJ dyf9LtPZXinX8VLth3Z1FT/26J5y3e+ccr3uKd9dtT47Y9rpGb08WPsN1X2J uPRN+TnEmtUpzo8S3aN5fbQvewwS7wGKBx5o+8CUnxO9U665Q8V3kH6X9R/r s5mfl3Idz/TwMr2DH/o2IuV6PTLl2jpOPtHI4SnX1gkp1/TylGv6KMXBnI9R LsbpHn7oWUXK9Xq8uI/Ru0wfp+t36EyVfKNzk8UVTUPv+Cbh26ROynV5Usq1 vjLlOj5FXCt1j79q+cg0ulpxVGn9OdpvovJaoffZWTgs5To+Q79D62alXK9n p1yv54g3mjZXPtGehVq/SPf4nq86ZVo8X1wX6L5a6xYotnnaFy5Xai/yO1PP qDcaulQ80OurxAPNXaKazNKa2Sk/ezMtvkbveVYjn0v1LtNitPk2rcUH35D1 HEenXLuvS7le3yB/NeKdfYfRy79SAwvdQp/WpdCnd1JoK9dPpjg/4I/Woqfo FpqKhqJb6CLaivagi+gpuoK+opXoEJqKhqJVaDA+C7X328oT3wlvpuhB9A/t Y745f99SbdeJH9zQ1ffFHd1FN9GP9Y53U+jZ6473UmjCKr3jOd/WnBOcEWg/ Oo5m7+D56G/B90dHXwu9/M7R1SKeLdx2sYh1K7fdLfb4zXGuBY9t3PayOBvK 3O5skSd0lzMG/f7FMdQid3u4HW4RN2vwiT6j9egR+neev9/P4tvzZ8cgi5zu ZOGD/Xdze7ZFPnZxO8Qi3z85Blj43s7tmRZc1ihHJarDWtWikepEjdDVD5S/ QuW6SLW8X789RTXm2Ubl9jjFcK/eF6mujQXONf47fOVoa/F71n2ktdRhR9UC vtuLMzHtqriIdXfFS/72VA5Huf3D7SMp6rO1asQfs70tfPN9/kYKnX5X/dR0 s17poP5apx6j1+lp+jmbgYZaw/ti9eXtes+MMqt8a9O/9Dc9/KZ8j1BvrpbP E9WL9CGzyvfQCuV+vTg9rJiaiPsa8T9JfXOy+K3Ufovln++sKo/7T8VZo2f4 +MHR22IGvnf0sJjhCrd1LfpjvNuDLGIY4/YAixgmuT3E9I3s9lCLmaaGn6iO X8DX4izp6PbbFNpxhl9/k0JTSi1mjPkay28t4utmwQk+gy1mhnkZZjFvzBpz tq1mjbMKTUQPPxYPZv0sC71Dd0b49e8p9GWgxSwxR9P8+usU2neEX1c6Nvl1 gdsSi3pjk67h3sGC/7+Odha1b+G22PE5NbDob/LAs+Z6jp/2Fr5muK2nPDez yBe5muDX9S36ZTLzYdFHU9w2sJjXVm7bWMxctdujLfr1S8dpFt/BrS3uucb3 Bl33tKg9de9joXfoTj8LvUArjrLYlz0XqR/5xt/Hop/opSK3LS3OoVPd/q3c 1/Hr6Ra9Sx/NUIz7ur3Qou+p82jV2tx2spixvSxmlX6nVuUW9TrSok7krdBt Y8dnKXIzUfkhZ+OUN/J0vnJ1ukW+NqpW/6WoF5qzMeX/GTZs1kfsXU/2U9Wl tkXf0/PE8VeKWA6zmAH6nzhqKRb6vbNFz3NubGkxnwdbzBUzdaDFXDFTh7ud anH2/uNoZDFLTS1ihsv+FufBGs3ZJvUY+T5GOd+gesP5f7cQQis= "]], Polygon[CompressedData[" 1:eJwt0/svV3EYwPHzeSKX6CKRSMm6ixHKoqGty7SM1Wq1WtRYzW1apjH6hywh pOZWlEuUihTDmsvfUJH3s+f88N73dc6+O5fP5zkJpdXFVeJ5XhYFUCMHCTTo PO8H1eH91I+nqQJH0mv8hR7g7dSJJ+gJjqU+/J3u4lDqwON0H4fRK/yJbuNg asdj1IwT6R1+T2V4J3XhSXqEI6gbf6abeCu14VFKw3vpLf5J1TiKevAUXccB 9BKPUDY+R0n4N13TxaAX+ANdwhcpGa9QBj5Kw3iO8vEFWnb2nzU6y/EivyfJ 4UL66OyaB3EDzThb40x8nL7iebqMr4jdK4X+01WxZ2mhPJxLp5zd8wxe53eJ Fuivf029Vi/98Z9Zn1XX5BhOpVln73BCbM10rfQZDuEmsb3XPcjB58XWRu+Z hE/TL/yNirBQq7N33IKLxdZWz8Xhp2KzoDO0Az8U20udmXBcIjY7OhO7cLnY 3uqe671ixN5F76nPfoSGnL1DAd7w10bP/fPXRNdC92A3fiw2qzozgfiG2Kzo DGzD98RmUWc0GtfQG2czsw/Xir2rznQWPkyr/po/x+lie6Xn9uBKsVnTbyQe 14t9OwMUgu+IfQs680H4ltjs6ww/wwfE/qszsgluTHds "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVWHm812MWvv3OIesgZOxTDNn3FpEkKVupTFEGaSFLMrt9HRGNSou03KvF ragp5ZJKV5tKo5QKTSVbhRYKyWiex/P8Ps38ce453/f7fs/7vud5zjnv/dXo 0K3lHYWSkpI1VUpKAvoR/LkqS0qew2A92E9CPwu5APbT0AMg9WH3hO4HOR/2 U9D9Iashz0PKIMdjvAd0H0gd2E9A94VMgrwMGQe5EOO9oAdCToFdBbIK9hnQ AfkY9gv2ORhyEcb+UdDezoH9KfQnkIthPwM9CHIW7ISshX0S9E7of0OG28cQ r/0ipBwyCjIMUgr53Hsvvivz+qOthzsOPCvPPBIy1N+P8fsRkLHWfP+SNdcZ b7/0N8HfcO4/PTbG3w2x3/WO1SuQdd4Xn5tiD5eEfJ8GXYCscTyJD3Ga7HNy zQ328TrkDWPA9196bDpkqsdehUyzroBcDp+XQSbCnmI/k/x+vPf+pv3w/df2 NxMy2+9mQN722Cw/T/FeNnp8LqTSY9zLHM/j2Dx/R3+bPXd+Qbwiv8izTrDb hea+B1kI+RdkuZ+XWDj2LmQZZLHfVfgcxKQtfLSBLCqIb+QmOXoD7OshS2FX h95u3z9BdkA+hNQK8b63n9/3Oswjcp85wNxhPjGvmDvMIeZSq1CMFkCaw74y hMM+IfwY34Nhf+/9VzHm5HSY7+QMc4VcJXeZB8wP8pO5srIgnjMnVnluwXk2 xLGvdNzpd7h9fVYQf0sLu/KBPC7ye6y/H1H4/xwY4z2N/J93Y/z9MPvkuy/s Z1RhF/+meh5xGe/vJviZ3J/gNZgP5CN5Sb5P9vN4+5rsbyr8TC5X2Be/meLY TvL5p/ibqX5+0X65zlfeW4W/Iben+5sZfi732uOMQbl9sEaxbrF+EdtKr7Gp IK7zmRwnf8kDcnmB7S0en22ekPtzveYcj8/03Lne0yyPdQ7lxrewj4WuAfmh oDxgPrxnIZfJ1e8gWwvKn8UeI48Pwnfb/B3zg9+Sh8yJ5fbFeeT9B5A9QvWU Z78plDM/FpQrH3kOObbG3GHzYZ0mJ3cP9ZIyx3S2z8N3q/zdQu97sb8nh4u1 mJwvtf7U9m4hHpd63lrPrRriH7m3V6jOEuu9Q/WXHNnucy3zPqZ7X78K1VA+ f2OciMcBobpGLG4LYVzpd1t8nsMwvr/fHRiqa8R1v1ANJXasC/Xdg8m9fV0T DoeuFvJFPLYZC9YGYrvI+93hOB8d2h/XPwL2Ia5f1cyLecZ/u8+40Byg7yMx 59chX4zTnu47J0L/DP14QbjtND6rjWURK9apIs6sNUWsWLOKOLBOEYuVxqnY i8kDcuAz40SM1plb5FXNUP3lWdcbP2K3wfgRO+LDGsp8PQb6P+ZfMV6M1dfG kjjeYZ4uN1bV3FMYA37Pb38Twmy+48TcKOLAGk3f9FE9dsWVMec+bwlhUN2Y HG4cN5s3c83Zo0LxIPb1fH8iX4jlHONcw31qh/f3kdep6bUY+1PdJ+jvt/ZJ X3V8Pzs35J89qTv0ne5h7GXEmPjW9lgfz6nl8U3eE/dzgsd7e7/nuueRFyeH uEDMz4xdmJ/t/kTftf0tOXK6e1Ld0D7pZ6NzY6b3Xtf7IRbHGQ/i1M599LxQ 7rC/skaxf68o6N7GvsvcahCy+3usgefz/sR7Huc2DNkDPNbQ83kn4H2LcxuF 7IEea+T5rPW8Q3Bu45DNHsD8YQ9j/+K9lb2Bc5uE7EEea+L5Ezx/onVT261D /YB9grWhhesDc7SZ85RzL/X8K0L3OdoU9sIJ1hx/DfahIV+sN11D717zORr7 jB1DvuiD9Y397K2CdHPbLWxzP9P8jv2OY1d5Drnc0nlAzFqZ/818Ru6fnOpu /vF9a+cd9dW2mQNtnHdLbPOedk3oPsf37UPceAd2l9C74ndtPZ98Oc+5wLnt HVvq62wvNZ+WuFZcb17Rx7X2c6P5Rvvm0DNtjnXw/N/bP/dDfDo6nly3k8dZ mzuZ18TiVuPCvO/i/TOuxID9hevf7LWIG7/hXeVW28SRvZg1iPXnd44nz3W7 /RCXOx3zx33GbqF6xrPyeblx5zesAd08vsL77ez9d/V+K5zj9Muaw7VZA1kX Wb/ZY1jDtkL/IVQHekLfm6q/43n2VC1/mWdM1fiN3KPPtQn6Ce//Gbx/x3Gf xHVTNf5H2OvCdRVjb5sHPWDPdTwegP1UqKY/DXk0VdNnQR5J9YxK2A+m6v3d 0PekePwX6LWhOt4L9oIQzg+nfNHPm5D7Un1jG+xPQrWLaz6UWncqZPcU/q8y Jqn69w1j49g+C12eqvt9IKNStf9JyMhUXf4W0te4LIYenYr3QOhBKZyeS/ml zx3QP4XqaQ/I8FQt6AX5LtRz+mKsT4pH7zJXUtzYDHtaqB5Pgfw51dOWwi5N 3RV6Qw9N5cCQ1P64t79Dl6Xq1g+Q70N31ZmQ+1N30qrQzzsm7aFHhu4CxGR2 CJcrYDdL1d+m0I1T9ZrxmxyKIbnwSogPxGFGCAvu9/XQni+CfUGqH7SEvjJV +xaGzsD9T4dsCeViG4y1StXrcsgNqZzeCfk51Bv/hrE3QrVucAqDzo7xqlCc GYMPQnGYB+mZymni+XEIU/KiquPwPnMo1NfnMBdSNfFLyIDQHZM8fSvEVXLk 8xBPNkD6h+r9o+R+qu+UQFdJ3bluhB4dulu1hf1C6F4WsDN1HxwcyivmFPn4 RYiTe8EeErob1oN9TupO8FiKT+TS2bBPT/XyA6GHhe6PDTg3VYtPhT4xdT+Y z5xM1WLWgJdCdYC1YVyoPnzInEvdBSdCuqX6zQrItam7I7G62ni1Tv3mxT57 L/QpqXtFbej7QncP5s2iUO48AH1+6p5wP+y6qX4xIhQXxmR4KF6MFbl/V4j/ S6D7he6ghzB3U/czrnNWai3GbM9U3IY6jrT3gd479ZvWH6HXhO5D1WAfkPr9 7DDoQ1O/CR0BfWTqLrUSclPqTvwYpF3qPv0V8yB0NxwTwptYN4d+ONTrL4X9 UOg+8yB0o9T9p2EqFowDsa1jfJl/lzkH6ePylB/6uCTlh3nZxLl5ccovff6C uXG/Bnp56H+AQmrf3PN1KSyJ46hQLWAduCV1Tp6R+drCOdsdenXofn8bYxn6 f6B+Cr9fftuEfaHzfbdUPWIOdkjxiVzaD/b+qbtsqflKrq6HfU/o/5b+qT7E HnQS7LtDvYw94U+pvnBGimfkGLl/pvlPjp9snnOPXVP7JH8HmMPE/K4U7p2g x4buYcfBPj51nz4W+pjU76AHQS8L/T/WEXaX1D3vBOhaqd9QGZvbU/FhL/pr qh+VhWoB6wDPsdVnISYHp3Dpl+rB7L/sA3ukegHX3De1bufUPM45Gvqo1O+7 NaBrpv4fYPxOS8Xwv2YUIcY= "]], Polygon[CompressedData[" 1:eJwtlXm0llMUxr/es6OEBqVZXZKbJiqEtAi5kqXuUgolN0OhWogyLBaLolDd UhoUiWueMmSmZazMtRYLkaHJlKHBUPye9Zw/ft+z93ve77zn7LP3PmVV4yrH FqVSaQoE7MtPC+iaSqVvGGiJ3QYOxV+Hfxc6FRpBS/gCzmf8VPQ86Ip9L/oD 79ZG18MHsD80he3wKpRBO2jL++2gO/a3/Gdv7EbQGX8t/gb0EzgAmsFZjC1B NzC2OzobboG9oDn8C1thH2gPr8A/2W4LH8E8aK13mWMmWsOc49DP8KdrPvzB 6Er8q9CfYD/4vvB/Z+W1tM57+zjPpT1uhE3Je/+SZ9PQLfnbK/DnotU5Fq0U J5jO985FR+kbMAV/KHph3vunsLNwDOoxNh79D78juig8p+YaDX/BgvztA7Vu xiegKfkM52h+aAAtoCHjV6C1kmPeHP9KtEjOgVUwjWcjktf4M6xJeW64XGuB DjBD3+TdDnAY/ndaM/ZE7Eg+45eSc0i58zvj69Bl0Cav6STer4BjtVbGb8V+ D/tMGAKX4T+jdTBWH+2m3IRq/J7Ks3BOKZe64XfC7hhe2+HJsSgLjykmnbG7 hMc0R4NwDir3OiXHohX+ITkmO2E+HAzlyWdRP/yuzqQ7do/wWmbiHxSOiWLR Q2eKfQEsw++vvMVeiH6lItQ+8e9D1+PXQZfgP4/+ij8mOZbtw3Mppr/lnFGu qKbmM7ZA38D+o3Buf4j9d+Ecn6d8gVWF3xkRrmHVbj9YjP+kcp7xi5Xj4R6g 2lcMmoV7hHpDF/xjsHtDL+w7eXaczi5s9+ZZf/UG6KNz59kA7NPC9gk864V9 NMwqPEdf7BNhduEc6Il9JByV/M4p2P3CuaE5+2AfH/6W/rMIbRyO5df4n6M1 cDLUhXMYezDvtQKO0NmHz0rfCOza4XfVY1QbTcN7VY3cD8PCZ7OR8cHYZ0Bf xRZ/IHZleG9z8Qdhnx629c5DUIW/B7qJZ4vRofi75TOfGu4Jo3LOV4drXLU9 EhZi3x3uVVX4k/OZ6ayUU+8m14xqRT1kG+xI7rU7GH8KHaszQAfADdhvoFsZ a4zehP8muh2/CXod/mvon/jbYFeugfJc88qVzcm9VzmzEr2N/5yNDk/O3R+T e41yeAZ6R3hMOXgt9ss5V3WnDMd/IMdWMRqJ/3COVT3tLdeEamG5zgf7Oexf sBvm2lwNuwrXaF3G9wz3StVYHZ11OJaqiYnYL2JvKXxnvAOTdGbJd0B5+A5Q 71dPe0S1Eq5d3XlzlKvhtQzMsX062VaMH4XR4bVv5p3H0Uu0JsUFfyl6qXpO ck97Fh0f7m3a0zX6frhXVib34veTz149+QWYEN679rA2+Yx1troT1VuvDv9X PXZy+E7SXTQIbYJ/T64V5WAt/CJ8t+oOr8k1U5FraDncGM4N5czr6PXh3FGO vIXeHM415ZByYYVqJjknbg/fsbpbh+VYv528FsV8DP4TOTaKyUX4j+XYKWb/ A2S2CCY= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm812MWxy/9nucXYYSiLlKEhMqWPVmSnWQd22RJhuwxYxbrzDDEyDBk xNiFkKUiS4sUlfab9uW2dyvt2nzecz6/168/Pvc832c5z3nO9zyfc76/27jT rR26bltRUcGfWpLfpYqKYcLBwm3Cu4WKio+EI9V+R/ID4U9qny8cLfxFuEA4 Rugq9Nb4h8If1D5PaC3cIbynvr7CRLW7CX3U7iT5O+Fc4S7hffV9LNyvdgfh WGGwnvsJ/YWH9dxROF74m3CRcILwrcY+F74QBgmfec2DGrtQOE54TDhJaCP8 Q7hYOFEYYt0DhGtTrP1GGOo+9A6z7oHCDGG8MEEY6f2wcbjwpfCVcEMKHd8L 44TvPP6DdbNmrPUyNso6sOVH782Zxlgy7yfpnCy0FapS6MaGqZ6HvkneA7uq LEd5j4G2b6LtYt5kj49GvyX7T7M+bD85xXmnC1M8zn6rhG00ViHMtC3onm07 2L+WxtZIrhXmeT32zvE4+8+1ZP+lwizrqHYfa5YUYg/G5lsHNi6yXbyTxZbM q7EO9llmyT5rvIa5K7wHdv1sie5fvJ51y72OedN0lqnCacIUYaF9sNb6sHGd JedYXYg57HdKCjsX2sdD/I7Xe26NzzbRvsOvq6xjk23FxnbqXym5RSimsHVD Id7BStuTU+hlbNsUOjh3IYWt2JhSSObVTqFjo7BdCsmedVO8P9ZNT7HnDpI7 ul3huctt30w9zxDaCzs5LjjHbyyxZRfrY/9dLbF3Z4/Xsi0l36/2GVi/m+dy 7vop7MbeHinsaiA8Z/saco+FekIT4XOv2VfoZZv2FF713nsJPW13Jdxk+/YR +nrvxnCbz9BImC3MEs4QDhMOEQ4V5gnVwpnCXOEAoXmKuwcHcBfh129TcOwi 4SvhZmGzsEmYD+8Jg4QDhcOtuwU+tz7ab6Z4T3vDB8IIoWUKHoan4Wu4FQ7+ tBAcCwfDxXAwXAvnws9wPFwPPx8lfFII7oRr4UC4HL6HH+F7uBnehKfhV7gS boaP4Ur4tY3PzfpvHfPXpeDZrwuhCy6EE8k15A3yR3/fkRL3D/a8AdbBGHsM s96BJb8WIifA6/R1TsHFI7wHnPe9dY30c4kjagplzv3Re47yvCG+t6XnKt/T oZ472rom+Q5jx1jrgrPh6/Hem/EJ1jXZukr8O9k6ZpsPWA/XTbG+aVs9w1fV 3n+K17MHHDjde8z0c5XPObtQ5tw5tmWW5+G/cd6nnu8Zd+wn78OaLnquI+yR Yh3ctcT7wXMLC2Uu5hm+hCtXeo8lHitx7grbVGNd7LHc76Pa48utFy5YZb1r /Mw4XLWxUObftda13s+npuDfBd57rdez5y+ex34b/Hx6Cp7dXAi74bEttmOj 5/EO5vsc6Kpl/kJ3wTwGLz1jX7Gmtn1a4l/msTeclrx+Z3MTdjCXsRKHwk0l jq5tm+A6uK/C4zzDwdP9nmqZH9ALNzbw/BL/7uI9dvMze9bzc8Hjdb1ffY/1 8JnQf1OKmNg9BX82tA1wbKVtgmP39Bl6m6vqmhuox6iX4FH4D66Eb/exPXB4 Y9sDv8KzrVLweRPbA4/ChXAivAvnHpSCQ1nTLAWnwpuHGodb1wi3WQ9HwXXw yvIUnAk/AXgPHiIvNLJfzk5RE8OzjFH/wlsAboSr4CC4CA4EbXxexo7znnD4 Xn5H8C88CAdekqLW405fKXlpiji+SrgsRYz+YkksrPM4d4Vx6hTid7XkKuEJ 23tWirwAx5+TgucXp8hj+H+ZsCBF/roiRf4gd+CP81LZH+en8rkvSOVzd0jl 8124lV872rfkBzi65JuL7R/qzEt83tGSj291ZiQc085n51yD/M6xeYzwW6Fp ivt+pddhfyefYUWK90ruOd1+bOd113jtzx4nV6z0M/ljjSX8fX2KHEb+WuE2 /rkxRb4Z4bWdPWehfc89ecqS+/P7FPeHu7PQ7e2Fyz1G/y0p7sV+Pidt6oFF HmvqWOnqd3prijZ5FJ+dbL/RxxixenuKGCPfj0/xvUcdQh1AfUBtAKgJiMc7 U7SpG/Djvan8TXen9VBL3JOinrg7hR7afTyGbsa7Od7w2R/tN2LqvhQxRSw8 muKeEFN/TeWYeiBFTHWxP+s4Bv+cIgaJtYdSOdYeSRFrvId/+l1c6rjCL8Tg 31PEIPbe7TPim9vtw+7ei/fyP+HlFFwGh/awDaX3yvt62m3e739ScG5D9/3L c3Z0PzqesR54+Vk/N7D8t/U8Z130v+A2OuFTeHYno6d1v+h2pWPqSdvPuuet p6fnoecltyt9vl4+Yy8/V3r8v54Pn+CX9vY/vocHmPuK58PPX6TgaLgejoPf yAWvWf8bbsN976bIDY3c97rn7OJ+dLxlPeSPd/y8t+Xb1tPbuuh/3210kj/I K7safaz7A7fJNx8Ln7jNuvesp4/noecjt0vz0dnY8mP3M/6h579p+/byuV51 +1PPb7yVX3if9e078hq5r5/nDHAbf36d4nuhqfv6e87N7j/QvkcP3ztf+nlf y4HWM9a6mnrdN14LF5BTmxuD3Icc7HY/29fEaxiDn4Z4Dn3j/Ey7hXW2tBzm NnOHWmfpzLyrq1PwIPeldVG5SljqdcO9lny+xTbOdZu8T07ckKJ+m+7n/3+v 5phTWscz86+SfCxHDrhGskExfHG92nsWwz7q2PUpaln2WuzzzvBe7FPKx+x7 pNbdneMM9dV+Pgdfb/K+pVpko31DvuXbb77nbPZZ+BablCJXr02Rh6rcxxj8 Sj/fGOQdcifj1P7f+B3g/7aewzhnoFagTuBs4+3/btb5iX21KZXrqE22F99P sP/xwZIUdcNNmt9E5xxpP62zr5Z43v4p8ir59zPXV+TOT50LVng8SccFOe73 RsmzcvDTtuo/LwdnrJQ8LQfXluoJaokF6rs9Rw2xXvKMHHxZR2svynF3t0ie k4PLZ0rOypFvTpBcnKNmOlrythw+Wyq5LAffTZGcmiNnTJecluN3xDmSs3P8 vjhZsirHb5PEE3esqf2BX/gGIZ9Qj5E7qFdrtoqpGvuKWoPagzqE2Fjmd9Ha PsRv13oOea3ac860bji6vcdXes4axxBxMsPzmNPd87Grs+ffkMp1D/NP8Rmw f7L1VBnMoS4ivsf4vNTU1NZHCD+k+G2CmHmYe5Cjdq4t2SdHnXCD5LU57O8p uU2OOvUpyVo56tQicZEjRx+hd3qz9STJl3Pk6/aS63LkubMlN+fISR0ki8Xg 9PPVLhQjZ5yp9oYcue1UyZ9z5Ol2kqtz5OBzsacYOenkHHwEF3VUe/ticH1B 7Ydy1FdZ8vUcddF8yWNz1BvdJZ/M/m0Fe3PURC9IHpajNn9A8rgcNWx1jlgk DrfDTznu5sHas0GOGvYDyXdz1C69Jd/MUZMRy8c7no+S/DxHvXWQ1u5u/a0l 5+aojV7BBzlqxDe4HzlqoLaSy3PUEPtpbVPhR7U7qe+KHHf/Usmdi5GHiFX4 oplje57jmdif6vip8dj+jtcFnr/ZbeL8EOuBc8hNixxXt7hNriMOf3J8jnCM EW8THHPE22nel+8F6n1s5/sBnhrl+d/7mTbfDXx7UCderHPtWIyagDqKGr2L 71m17eQe8bsnnH+j5jcqBkfiF75pD/DecCG/XTyoOSf63V0uuWsx8nFXtY9w bDzhvbb3OdFD/b/B+7EX+QvOIPfhz8V+Zu7sreaTj8hNq7y2jkHfDvbNNL8X 4uUOx8wabMxRk34m2S9H3d9S9rYS5qhdW/LCHHXWvZItivEt9Sz3Jsf30Es5 7gb3gvjq5RiDp+eZq+tq3WU5apwjJR/P8T+hW+FR3/0RksNz/F/oB8mROb4H sOXKHPbAK/ACnACX3Gc+wa/d7du7cuRm8vJ4tcfl+J9SD8mnc3zbvZqDU+CT vTW3c45vpJaS+xfDt4fnuLfc2T3Ud3WOWmqAZP8c//tqw13MwbGVmnNdjnpo J7UvyVEDtuKsOe5CC8mTcrx3YpeYpjbgLr7m+9hYa7vkiG/u3z2+g7vh+xy1 3qOSp+SooQZJDs7xjYTt9Ww/MQiPEIeP5OAXuOW9HDwLx+4heUiO2ICT4A54 o6Hah+aIw2H4Jsd3Wk2OM3Pe++nL8f1NXByUIzaa5fAjNgzFHzn+f9g8hy/w A3z2vjltIGfK8X04UXJSju+6MZJjc3zvwXlvm/dGS47K8X+/ryW/yvG/ysoc /sW38G7fHNz7Vg6+hqsXSi7K8X1IbnkxRyx9lCNXkaeOycHLcPKvKi0l8w== "]], Polygon[CompressedData[" 1:eJwtlnnQjmUUxt947/MWEZWs0WeXmIZBKYUS2ZMlRDKJmKgk+y7ZijZRkgpD JbKFbIUkO0kpJZq2Sfu+qN811/fHNfM7z/M+z3vf9znnOk9e70EdBhbIZDLL UBZtj0ymKLopZTJj0GZ4I7oCHokeheujEfAdaD18LmoHD0e74PNQB3gcegMu jNZm/cztcN1cJvMtXBVVg4dxrTt8EB2CD6Cr4YmoMXwaPQIXQsXgg+F7N6O9 8G50FTw+ee070djkPVSHL+Q/NsOV0Bzip1B/eID2AJfh/jZ4O9pCXAS1h0eh d+C3UcPkd14G34lawjVQD3h4/vpPodvgkrxvC7w1+Sz2hNemM/ke/g61SN7T dLgQaquzQa/Cy9AqzmsI8ZPwE6gv3A8NhWvz/pPwjeixcE6Uiz7oJfhlNDj5 HcvhFeF3rSZeBa8M81CuXQc/gLpp7cm53hreu3LeHP5Fa4BnoxnwINQmf73r lFvUAB6GTuq8UWN4GmoD/4sWwC+grqoP1r8O3oC6qH6IV8NrlVPiIH5FZ6Ec EhckXqK9ac/Ev6M58NOoHZzh/kJ4MWpF/BeaB89H3eHzub8xuQZGEtch/iI5 h1r7hnDtag9vwjvCtX+lzgxeEz6rNZxZAbg6zx8lXk68kPhF9Bp8L9cWwYvD vJJrd8GX8PvdxHuSc/16+KyU877wxdzfqVpDH2i9qBM8GR2Gi6OO8KTkXhqH bk3uqcnwg+G1KScL4OeVo+Q1NYN/RLNUK+hT+FQ4N9cm99p74Xer59RL+9GE 5J5S7b8b7mX1wH1wTdZ7HG6G9oV7Ur2oZwbDtbh/IrnG7yGuQXwMboKOEX+C psDXoCPwh+G9NkLPwfNVs1nvYSm8JHyWqml5zaawF8lz6vPu+/Pr9zTaFs6h cjca/arzRaXUS6g0vx9FfFi5Rn/A5VFpeG5ybbUIs2psGjwCHYJ7JZ/l9eq5 5DNVb9wQfrd6RLXXEj2bXIM/weXkCcnP/A1XkOck/2Zu2APlfXejEsSPh3t5 a9a9XoO4cnLPTxFz7QDcE1WRl3Kta/I15aYU8VdZ5+hS+PKcvUkepdqvGfZe 9YB6v2n47HSGyl0Z4jNZ51Be3TvsNfLscsSjVTPwjuTebE+8NLlHs8QVdebJ 1z4O51y5fii5lt9XzSbXdI7fV1IO4GXoAvgEmgp3Tu6Fj8LPqifkhQ3Q9GRP bKi9oi5wU/QN/GWYZ6DPw2eqs9Qzn4V7QLWv/ziH/++o/oVXoArEY4iPwLuS vaUt8aJkjzmLOE85Tb6m2r5IPZJ1jcvrWqsHkz3vjPoflU2+Ju8YSFw/2UM0 i5qgmckzSd7XIXwW8sAf9Gx49uk38s5biNcne6hm1VvhWtfMKsb9qsR5yb+R t3aWPyR7rGrvz7B3qga1tn/CXqk1qlanhmeBarYSz38dPsv9yb3yW3gWqGdU C+Vz9i7VhHrt57DXqOdqwePVM8k1OSQ8gwfk11vB8AzULJF/6Wz/C88KnbFq I+Xs/aoR7a1ozrNCe1Su8nL2VuWsDvEzqBVcL7kWC+Q8G1STVYgLE6/U3lE1 4uI5z6KKqDLx2TnPngrJvV8q51kuD5B3lM35W0Eecjxcs6pVedrDcL38/fRG Y8PXxPJs9WqjsHeqZ0uofnLuffW4ZkV/7u9NnhkViQcQ70u+Ng+uG95ba/VL znvQ2jepp+V9Ya9VTxTJec/aq2qgUM571N5U85o9/cK1rhmkb6E+4d7WN5G+ ZXqFvVLfNLXhCah5skfo26dn2BvlLzPhWeFcqsYnwpPCa5Wnlw57mLxL7yip 3kY9kmtErJpTremaemt2+NtHPXY0PDM0K+Qhmu3dwnvXjO8U7mn1snL8P8j9 U/M= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0tlaTlEAgOH9q1CSKUOl+FGduQ3nLsEFcOYmkqkyZJ41UGZFZAyRQhpQ piSVyhyV3vX8B+/zrT2s/ay99o5v2LR+YyyKoirWEsYppDKXBSwmi1zi5LOZ GtJjiblztDrM0a06T89ohp7V+bpNF2pteK6e00W6Xdto5wWVPKGJZa5f1KV6 KaxDH4S16FVdrnXaywrja/qM55TylNXOr2EVD8P69ZHmab2+4jUltNBFN53h fd2zkh7jN1wh2/FlzdGdukQvaKaeD/ulO/QxFbykg1buk+b6aZ2tp8Je6z2d pSfD/usJnal3NVmP6ww9pkl6J3wrPar/ORIlPt5tmeIwExxiklv84yDjHOAv jfxhP7/Yx29u8pNyvrOXH9zgG3sYZTdjNNDMLq5TRqH1FFBs/JURBhlmiC18 ZoA++vlEER/4yFve844vrIsS/+k0t+Nhcw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{297, 296, 300, 580, 571, 572, 570, 574, 573, 489, 576, 577, 575, 579, 578, 490, 582, 583, 581, 585, 584, 491, 564, 640, 549, 569, 509, 567, 508, 568, 488, 299, 298, 297}], Line[CompressedData[" 1:eJwl0lkz1lEAx/H/YysJKUVZnzQphWjqrjeQpaxtJLQpS2hTTxmFKy+BQknh Hbj1cizZkszIZ8bFZ75nfufmXJxwS1d1ZygIgjHKHa4xzzYvooIgjU5O0MVf e4ce5zmptLNlf6bHeMpR2vhjf6IpPOIIj9m0P9RkWkiilQ17sybSxGEesG6/ rwk0cIhG1uz3NJ47HOQuq/bbeoB64rjFb3udxlJDDLWs2Ks1mptEUcWy/YaG qCCgkiV7uf7X67qrZbqoA3qWEs4xSD5X+Of+k6ZTSgFDnOcqO+4/60kuc5Fh LtDDKbrJoJdCXpHJS7J4TRFvyeYNOfRRzHtyeUeYCJf4yGk+kEc/Z1jwpjG+ 8JVxJpjkG9+Z4gfT/OQXM8wyxygjRGinIbT/3/YAc4tBWA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0MsyAmAYx+FXuRFb0lQkRM5ySCenvQugYWecmYkk1mxclEuxrTwzFs/8 vvnPt3rHTs6apyMRUaWVjGgnIgace3+PRvzoF30GDLngl0sm/EkxTppJruxZ zZFhmimu7TNaIM8cs9zYi7rAPCUWubUv6wpLrLHKnX1DN1lnizL39h3dZZs9 KjzYa1qnSpMGj/YDPWSfY454sn+6wQfv9HijyysdXnhO/N/sDxmaIj0= "]], Line[{758, 717, 721, 725, 729, 731, 765, 917, 979, 978, 999, 1192, 916, 922, 976, 1193, 977, 974, 998, 1190, 914, 921, 1183, 1170, 1171, 1032, 1172, 975, 1191, 915, 1011, 1181, 1182, 1169, 973, 1167, 972, 1168, 997, 1163, 969, 1161, 968, 1162, 996, 1009, 958, 1015, 1016, 1014, 910, 1157, 965, 1155, 964, 1156, 909, 1154, 962, 1152, 961, 1153, 908, 1151, 960, 1149, 959, 1150, 963, 758}], Line[CompressedData[" 1:eJwl0stTTgEYwOGTPjVENylEFIWV/8VKIilyS5Gu2KqU60KFRDdChHKp2NaM 1m65lTYKZcxYiEXPNxa/ed73PWdzZk56fsnW4oggCIbUGhkES0NB8JpJvM5l vMHlfMNstnMbO7idb7mTXdzBm8zlGPN5m7t5hwX8wAPs4X7e40F+ZBHv8xB7 eZifeZR9PMJ+lnKcZXzMY3zCcn5hJQdYwUFWcZK/9U9/9UI/dV61ng+zhiOs 4wWe5Uue4SjP8SJ/6bL5iprVoquKVpSee36SDWzWkKrtJ3Rcz+wT6jLXs0nf 9FSdbqc5q0Zzk0r0yF7Mh/ykDnNd+B1N64Ha3Wo5o0vmQu3THt1128v3zGM3 d/EW36nNXMOFDClSnfYcnuICRihQm31L+Hs4pa+aU4v+6JV+6Hv4u7XJu5uV qY3KUpX7em7QOmUoXZXuaVyrVK3RalW4r+QqJWuFUlTunsBExSpecSpzj+ES LdI1++LQ//98HiFlYyA= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWQFEcAgOE5ONzhcHeHKhyCu8vh8MYzbq84hEISLFC4y+HuHO7u7g7B CQ75unj49u+a3Z2d7unZgj36xPeOiaIozsvK2ChKoEWyKIpJHkWzqMBMKjKb nlRKEUW9dCQjiGUu85jDAuaTjEUsZiFLWUJylrOCZawkgRSsZg2rWMdaUrKB jaxnM5tIxShG04fxVGYCQxhKGnZShUlMZgpZeUhVpjKNf8hGSfPrq9V4RHUe 04+n1OAJz3lGYZ8fo9kpZfyHDqMsOSjtWH+tyQtq8ZKijhfhT+OclDGurcMp R65wDscGaB1e8Zp/qUt5cvOGekxnBoPCOvjewDBvrUp948E0YCx5eEdD3tKI 9+TlI435QBP+Ix+faconmvGF/HyjOV9pwXcK8JOW/KAVvyhIjOtprZG20SRa SGO1rSbVdmH/aOGwLzQ+7BttH/ZDWDdNrR3CPtCO4V5rUU2nnTStdtb0Wkwz ahfNoF01kxbXLNpNM2t3jdMS4b56DrKRih+ei3c84RYXOEYidb0f5/P3ecAd 7nE3nJtb3OY6N7kRfourXOMSV7gcrokLXOQs5zkXrp3TnOEEpzgZ5sIxjnOY oxwJc+Ygh9jHAfaHtSGRvexiD7vDWrGdHWxhG1vDGjMu3BP+5i8mUonelLBW SXStdVjDalbF/v4v+R+kUoos "]], Line[{1580, 1321, 1325, 1329, 1330, 1331, 1332, 1486, 1643, 1826, 1642, 1824, 1641, 1825, 1662, 1823, 1640, 1821, 1639, 1822, 1661, 1820, 1637, 1818, 1636, 1819, 1660, 1817, 1632, 1815, 1631, 1816, 1658, 1674, 1630, 1657, 1629, 1841, 1840, 1578, 1839, 1656, 1831, 1689, 1814, 1813, 1830, 1584, 1577, 1838, 1655, 1628, 1634, 1843, 1633, 1585, 1579, 1842, 1659, 1635, 1638, 1580}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd0nk0VesbB3BJUlSG4maMMmUoNBff0iQVF1HKUDKVXEVU3KIiRU5SEqUk mq5UphtKZaZJ2uccHOOR42zD3seQMi2//bvPWu9612et94/v8zyvpkeAvZe4 mJhYIXP+f0s3DpYl7qegN5Cv63JtBBarTO3VDlIIrf1b4kjICD7b6hgcvEoh Z4u43PFXP1GQWum1uoBC/2Lf0Pnjw6jfZDX/RQuFm6VLip7aDcN8w+raenEa Os8ORpTlDiFW9sQ/z7VptARKqi5dNASNfqUNczbTWLBtf1fSw0E0p7m3Z7rR kJSWuFhnNAinDY6D507T+KZ0ZS5KBuBUoph2P56Gj0vkB/c9A7iktnRg7mMa rTopN9/SItiUqH78Xkxji0GmqeiaCDrpJlRmDY3xZi9TGxsREL3/aQaHxtOo 5vrvc0VY/fuWVz2fxpramPHqdBrDswMvmVA09h+ucfloQKNUNuFo+W8m/0Pt sLOvKWiElmcFjtH4O1T06Z9MCsYbNNxUJmhcHM8rGEygUHHL43zJJA1zE58Z 9hEU0ox2LnSZoiG4WnOpxp/CIYGDbhTjF+5nvEV+zFzZprrZjCdvsy4qHaVQ kC38g8v4cdxEi4UvBcdja1m9jLM0L6fY+1AQ+69E8P6vKLy2JlbNZjz7QqZx qBcFn/WdfvMZSyuukmR5UijxD6nXY7zZbeR7vgeF2QHDJuaMJ25RrS3MXu2T XWPsGO/QkteVdKcwlGZ9RmWaCOY31sk/2kWh/ElSJp9x/nu7LNd1FLzN02Uf i4uwMdakwlCPeS9fU+w7XQT+4FwjBUUKYyfrk8WlRHBcHBYzM6MfPdRirqGM CI1valqjVvajvTKqSThPhP5Dic89avtwVLR61hoFETjvVf2DPfowQ0qxSkVR hIPR0/bcnuyFY/qBnpcLRVCtG3HNOtqL0ob05H2qTD9L/H2nWnrwYlpQopK6 CCF2OXMM9/YgJdnnziBjqe2aBzlsEvL5h3woxhFkYckzZxK73+jnzWPsaubd 58IXInxVUOEpFRHuWOTxZm8R4t7XjAW2SiKcfMgyH3reDfWhyvB0ORE8rtiv jNDohrSR/8tzs0U4LjLRMbwtwGFxq0MiZj7Z9WqXwpUEsI/6+7aUiIbezjPi 81K7sKqxx4HVSCOtkt17Rq8LR2QeF7nm0SjYJ9r4z+UfsH0XVKceQ6Ow7cbJ lKFObLU1tdQ4QMPsTexwiG8n5J5/XJulS8OpbsXNKwI+sj6kL5cXUeDWRYYv 9+fjFVvs/d08CtkyaRRvvANRPS+P3wqmkFCkGSid0AEtrd9LMzUplHbMsG1V 7EB1mzohW9OPyRUv2hY8aod70285z2P9yNyt1j5h0Y6j1hGCJTL9uBb/4Xvn hzYcNXSwIJ70QW1RKVGt2IahrhZWv2UfLPirXTPCWrGzyDpK0NSLrdKfy2Po FnS7+zpX2Pdi6Bq1Y92fLej97FFcUN2DkLJTZHVlM3B92bZo8x5UJJ4vrrJr Rm/avMWDr0jI2LRV99E8vNJS0H+gQ+LIponyOWk8+La3mxjdFcI/2/yByiEe sjqW3VFXEMLXuKNU3ZSHYzPGQu0PdqNMMbKEnM2D7rc9iW9fCXCvQr/AbqIJ ONi1U1tKgHkYrr8rwUPk8YB4Xc8uLIx8JG6mxcMev4Eci8of4FT/0Z/owINC 2ZOlFcY/oPdunHZO4kEqyNxyNLUTrJ+tcov6eHgp1vdupIOPbYsJZdnQZhhV 9XMnTPkY/2mQvVyrBazAn/J0fAfI0soo6Y4WLImfNT1ivB38dNUkzdxWPHQT pG4IbEfN6N7AnpttuL+aLWFItmFgvfzAsU3tmFDJZ32f3oaStO1++W/aUVZX RMmZtYIaHFZNWteBIcvdhWHBLTCOvCf2V2EHdjYeDXtQ04w1x3Qdclbz8bDT /oXKGA+DdxOe1bTxEVadkb1+Kw/fW2pt/jzfCZclwQGBtU2IKJJu3P+rE/zJ 9rPzXZrwqPDeShefH/hNeV9p/t2IjAXNKRV1P5D8Jd//3v1GtNE74i3MumCa sevwdttGnBDXk7jP6oKa+ILoFslGrKh1ui/kd2F8no3gXEUDFliVBGO5AGOP gq0OxjQgTn/Ja36IAOkuXbkf9zBuCCO0/xWA2DqzVX1JA3bFFa8/OiBAgvLX yzW/uMi/kCuurNON6wmObvxKLhY5cZz83Ltho5R6SpjChZbumc7m693o8Nlz 2jiIC9JvTM+kpBsmE7NVF9ly8XzKkafR1Y0UtzyOhTEXB2YWNNnPZP7Nrct1 6rJc7H31Kc1TWwifioh1nsMcZDsTFW0Qovrawrm9XA4WjTSElTkLUXz2TdHL txyYaThIuh0XIvJRXqdvJgchHdKHl0UKQeckvvrO4uDPruB/MxKFODKc9rL4 DAesiB+xyplCGBg9mDXsxUHtPvufrTlC9HdxZux14OBcp88ds3dCWC+VN1cG Bz5x96YPfxTiIhcnFhpykJr4RW4fV4gDMponTZU5ON1nNXq7Q4jfuY3vrGZx oDn6r35XjxBjbuWuW0bZyMp75eQxJESyLiEh18NGd+7GJcvGhZgyjM3Sa2XD bPdhvcXTSHj1FU++rmdDpdG16o0kif2eG28UVbGxylI9b4YMieHRM9903rLx ppVnJClH4hT3S9WvHDZkIvZbVCwgcfU4T0nvKRsh9USflTKJC7qjc6elsMGV 6NPW0ySh7KCgnR/LxseRYf1YXRJKsz6uWHGOjcD4n/ERRiSq7BePBZxgw2ud lt58MxLhqzcUHvBio29Xd5rtGhLUjpUTvc5s7BP/JbPenITC6NgBdxs2qt6V WxtYknA7pz4VspmN6uOH/vi6jYTV2E9PvbVsOFpWsAx3kki59qXvyDI22n7p i+2wJbFyVKLIVIcNzs7bGvoOJNJ3JaSGqrHR7/9G7ZsTiQRh8MkReSbvi/sf Vx0goXZs+TO9WWzM35S9cbc7ibPHWmuni7GxNWhBg/JhEhoG36PDfhHwmz+5 PdObRPvE0uRImkBZatjrgSMkdsyqklIREqD//rRc3J+ExDx3BeMOAgpfS0Qt ASRWGVhL5TcR2GE889vlQBKh1v38xwSBZcJFeyWDSajGz1o/9YVx6IUS51Mk Worefp5TRcA54Jfl3VASHN1bz9rfEdDqH566epaE3FwPJc9CAgXSYkdWRDD5 g6fOXMolYPDDcjL5Agn2WZbSmmwCT88FeZVHMnm/GfjlPyag7/6p1i+aRKwS r1IqncBFi8tmxVdIiHmPTVNMJaBZ6u1ZEkvCMe53a/ltAkFWrCPhcSQW28V7 iCUSkF0xJJK8RmJPcYpzwXUC70+finOJJ8FL907IiScwLYklqGA8f2adX9E1 Ao51GyOWXicxvXSr62cWgc3JskkxjNPMkgU9cQQkW+LcBIztWvfGyTPWDAyS skggUSGeKfUllsD2yMnwD4xjT623SIshYKO2rHj9DRKZ4wEJ0VcIBHq+O/Sc sUbsyegLlwkUSrTNU7pJomPXr3CnaAJZl7nh8Yy1a766bLlEgJeQ+9cUY5vx Za07ogg49ExUeiaSSPyresQzkkBD4VO3D4zDROc/UReY+T7Mf7HvFglD/YC1 OecJzBh+8ryB8SePCPdHEQRWtLMGtiSR+DolkVsWzvSzz/5qGuNDJ1lN0xnP kHGWpxjvDFjXrn2OwBfkvd9+m8Q6RwzeOUtgi8q3oHDGNtliZXqMX0yZjD1n /D/M3PKJ "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Qk4VekfB3CUSiRDxVgmWxlLsjS08SURlRZDpkgYYVCUPUWlUooaRUUS iYrqb6coIoMx5Z57LHcs4drOxbVdjhLzPzPv85znPJ/ned/fe87v/H7nVXH3 tzsuIiQkVMVc/96X7TAPy5ajobrOTdv55gwuBnRefaVKY1h6REJ05wzyVyZq SJrS4KRVrkoKncZz4fz8WkcaXwsXlciWCvDl3W3nDn8aBRPcNKPFAkiZSmb3 RdOo/dR7avuJKZR0e33JSqLRdj4wgtU5icZ2zol1T2ms2PmjsKPDJKpSLRTc S2m0hImvNmNPwGBZrNyxP2jM3BVsXOk4gVNjD6J+aKZRoe+raN89jgH+dcvV XTRSLqXZJdwcxzXhV9f8B2iYjWvVG5mPY8N2TyldPo36WTnpXbwxeN5bkX5w moZAqe9E+KEx1KyyWdI+R2NgfG1lUy0fZnlV54lvNIKEqPyK//ER3uphWjtP Y7C8UrM6mY/kzAUUL9C4PfSZ7r7EWNTpSsY/NKzNNSfW+PORp3p2soyxhoRF CM+Pj5/kpR1YjK9IVm5+68MHW1np5RBjBfXEzQnefETy8YuAsfN+ctdZLz6E /huz8Pxv8NF/yChTnHHVPs0rB47zUZMpZiXLWDTIpGirBx/HVXiXdBkHNi02 WOnOx/Yzpq8tGcdVLx7hHuNDuW/JgDPjjE0G3NKjfKStp+N3CM8iejosS9aa j+Ao1Uh1kVm4LBJWjjfgQ+2aY6HIolkMe7uuU1Ti49NJT4NOxmPagTeqlvIh UtxTYSs2i8L7rmXOYaOYnZRSlJacxRaDyAdCoyM4b2V+RFt6Fnsdo7sjj4/g +m3nG8mrZxG6ILkzt2cYJXJWf7nKzULCaf64q9swirOKY+0VZvHyiqCl5AkP KwPuRzcqzuLiC66a3QSFOusNY/+6RXTPhvcWFBqlZfSOMPP3nD7fnPlgCCmh ui1hTLx+XlJd2twgBorz0zasmkVscmeMq+sgNO5EbhkUn0Wf08vC178PQCas rGqeyYdRvO/xicZ+zIv1v46aolFW6/HS7TvG8WpHznJp+JgZ/xHu0of/xbhe WsRi6q13SXFxARejQ2P168pp3ErIOJAhxUVzSrirIJOGQ2/9VVZQL1Kokcjb UUw9OD6ct3zUA4vV2gNlDjTyX8vkinC6sf63ZTvTNWjIBp+ZW/tDN143DGy6 PD0DVePqUw87u9Czejs/490MnlQU9+Te6YSWnwR385UZvGtX3ijv2oElNqEe V2xmcOZjSm6+aTs8tnhE6nydxrzh3l6DCQ5auqxzM7OmoZl5yS6yog3Ch0tD vPZPY9A5XpxMb8WEvXDCsECAQt1rdXcftOBW1J9jmXcFKP/qsd02txnl0d68 RZsFCHD2CLvziUSAt2FcUMsUbuhz1TRESRBPNB5lHZmCJKH7IkKZjTYTm35D po83jVXWO9gTIDhS5Q0uk2j/2+VG3UMWXBLkPy/vnoDYM8lumYUmkDJDGpfd JjCxSD46PaAJ0Tp/Zb7hjuONqdy9xbxPIOXjJlW8xrFmMEmvVeYTht0MXQ9f HoPoM/cvaeof0biUY1FhwceJg36SDV5/4ZCorcn75aN4MH10VJPTCELr1aLg 9mGo/Wh8aEtwI9ju2J9ZzEN4d+Hc4i2NcGwoyBh6QOHWd2FGCqqNyFdd9TQn fghDMz7VEbqNqFZc96vdz4PY1Rn4xznfRqSW7pxr1RxActnS1Ja2Rtz7ZZ2b oXQ/Vp0e8GsM+gulViE3tST6EJge4a1g+hHXOWl7j8pyYSurUEIafsKCibDc PsNenFQs35em1YQTjxLO/nasB/HiZTV/NzXhptEK7lREN6bSnzY7v2BBauv0 s8WHP6M/5q2TUBaBCxHqlv2fO3Gj/uLV9jI2+kOHkzbHduC8u3T3s0ESZrqy hc8d2iFnV7S2eEMLfh9YvmsEf6OiNiq54Vorqn/N9im14mCkPGJc80sb5Lvr d3O82hBY2/b097C/Mbp2XXHh9VZQTrl68QYd4Hz/OoLd0IL7Rbt1VWY6kWSx IuKSagsSJaNktlZ8Ruh0wx3caoYgm9/MqezGXMeR8ezvmrHHt0v+08Me6Gr8 5h6XSWKHXHHv++Be5K2V+zpiRWKvp1reIQsuItrfVY7PsHFFK+/VA9E+FHG0 3/Lz2ZiLy5FTe9MHs6YDTl7hbPjIbhVMu/fjanyr+SIbNhINXU7e+9YPNf9i zi2m7nae2MWmYwag8z7msvA/BBKVbt84IjqIY5JDbzy5BBp+nXaxDR7EY9W0 VsUGAruPLYkv7B9Es0bQzvBiAltfBWv0WQ2h2Si55042Aa5ugGBf8hD0DQ9w nz8gMDG4vcC/ZwgSR76ZrEokkK7a6l+qROFJnl2MxS0COxJENGIOUEipKdxT FUeguGnbnz9EUJj783nLj4yt7VtzHj+kUG64ftw8nsC9jvQaooKC98UVDU3M +pAEcty4lYKklLhr/B0C/fIlgVXDFK55xzXhPoGyjlqbbd8o2DWdPlT4kEBn QGmLnRgPkU51idWZBHrELTOSZXjg+r/ZuDeHwPmXj0fiFHg4pZeQYJBPYGE9 8e22Cg+hBo5FRa8JDOlp2eWu56HA6njTuWom/n4l/j+aPKhKOd073UhgY1nI 9Ig2D6uXin0430wgJamP91aHhy2dLKn7XQS8fFZb5DPu4Mv6vhok8CVSzoFm 5udZrrB/PU6g2qS5vFCLB5ofW3/vCwF2T0ycJBM/7dSvGsdE2Kg5G5b+vQYP AZnjUmLibLh/Fp4ZUufh8bM67dsybFyUUy+4rsqDfnjiyFcFNnzNJcZWKPPw PkPypKk6G8ZKrN3hSjyk+i894KzDBk0rBzTLM89z4Sd1TyNm/Vp9/UBZHtSz 7Lfqm7EREbO8WnwVD2/2aS+pYOpHsGmlYZYUDx6x+mFiP7NhZLlQsmsFD+Pc 4a41zmyoav6iLmDyq+Xf8bHfgw23xBC8XMKD0kbeSLo/GyeNbZdmi/AQxp/2 XmDq86asyaY3CxT05wq956PZuBv3wWXkK4XdM9Pb0+PYONp+yH0bTeEn/8MH R5LYUJ+3T3o6RWE6cIdKTxobXuXGAsNx5vvm9fY9ec7GubNqk8tGKIRXpvKH C9mI7htaEB+i0FDY/mPpWzZqH4oObuuj8P7DNp+VdWz4nbtx4G43hcAnEQEz TWxofvBtUOxkzscCmKu2sxEYfMNHhUOhfW4op6yPjbWsHQddmil0BT2xrhll 3lci9XMTi0KxRpmnDdOPTvHzUSEfKQxmOl+wFiIR/z71xeUGCjYqH9PixEgU fTGP7ailsGbTrOU6aRK2ZTZRIdUUMj2drRTkSbwTp/X2V1KgrOpqzqiQ8PsW HOrO1PtoSh1raj0JY+NICaM3FM6YCuN7HRJb91x00CqjcFMpumFMj8Rduz+u mJRQKBXZL4j4iURbC0WdKKKwzExHxXIbCWVF1rm1BUw+L29QSDQjcThnFyGU RyFW2vVksCWzfzW2Sr5i+q1+zSzfhkTNfJvNzhcUEhXOjIjtY86x3/2JtBwm H6+sF0c5kLBMSd74+CkFDDRVljmRUKoMTVbLosCy/ObV5kpiTxLLe3UmBblJ z7cuHiRMffldzzOY/L+fKfT1IqEd6tcbkE4hqoLjvdKHRG6qhYTbIyafT3O6 HP1I/Jl3nxWcRiHoKs/24EkSFzOz7Z8z/4Oa+cZDSwKYeIUXbb+mUthj7atz /hSJQYszEu6MowNfVNeeJmHiPujbxZxT7ioeoj2BJNSi3J75MW5WvjBFBpHo kT52cDnjFlbsu+xgEuaBaruLUig4CVf1Hg0hse/MBMuXMUuvxGSOMd/S10WH sTqrVC86lMTkJblr08kUln44cpnDePM5uTyC8UzWIyONMBI51aMOBYz/DzKy QFA= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFVnk01V0XVhmjMlTIEEkKqUQp8mR4RZFeQ2X4jKESylAKRYZEEdc8XcM1 XBRRSpEp8ywZklKIXPf+lKGS4bvfX99Z66y9nnXO3vs5ez3n7CNp52bksJaF hWWYOf9n3S+kLa2urmJ0oOj0mLobeuVf8tl6r6B7ria4QdwZpYvVXoGtS7DS mTNss3TC7arCtEudi1Dc5q4lX2MP1bE+7m/zvyFxuvhMFK8tlD4delWl9gsW xz4fCxewwtFBEfUv/8xDajl+KcbBHNF+/O6GN2fx4mff9O+Gc3Bwe3480eEH LKenaYOhpkgOS0yb3UygxExZneOACb7URJkPzE7B9W6m9jt3Y7y9MxsuZT0B 65wM8p+HxvggtJB6QnsMn3ze5cldNEGZPj+LFOkLvhQoLxetmELFLMLXwecT Qnj4vBdtzmNvrKpDktsHUKbs64SLLFCXLxnQTO9DSz255cwGG6hOCe+gjL5D x8yXM41zdqhTKrWJSu5GgmiYYKCUI2Z3s/3Lo9CJK8JNJW3il5E1rWIVlNIK k1LqQLCQGyozJ8t6PZtw6uk2jd+57ghapuwfzq+H7SZJ8Yiw67jB3rd3/GAd 1n4Y8Xzo6IPLC20+7uw1eLxs976z0h+1IUjmL60Co/W2U/7kXVBG1nqaBFXC 8UH4Wiv7YIjtFg194vcaaemKmnePhEL9gYqnRUo5PvUbK5t4h0PxuwS5afgF WIRHbGkKkfBxZI+KRhks39pdVHsRhSXFXt6NX59hrtJysHKCBP5kxlhzcil0 qdZWjTZx2ECVrjF1LsFcxX3eQLlEbDw3GWRm+BQhAhOrMkYpiLbrzyPpFMOF fFeBd4SM7OBa21aZImyWepoVYJYBSaewvbK9j0FLd4nTGs1EczVR6RtVCC+O GhuWRxTYcLFHslkXQGh5v0yiXQ6GBC+x8KrlQ3KP9JKYVR4K5j7TS7fmQ11F Z5cPJQ+6pR7jiT+o2B/cz59Oy0NzQnJQTRsV3MTd2oiDVPgn9V2SzaPCSubO YT1fKhaWD5wIplBRunzDLCmQCk6xmJaRdCqKe9+H0cOo2Co7NquWSsURN/E2 zWgqSqJZFZ2TqXgg0zFDj6UiKfF/4/82PDtHsTmeipEzl0O1mX78BfNzv5n7 jGZE/hLMuD/28badZ8bpD7SdPMHksWAhqFseQUWy55PxjCIq3BN+XtwWTsWU SujschmTZ6wPO5cTFSbXqn051+RDdFAj9bAWFd0f7KpGT+Xj2rG0juztVPB2 kpui4vMRsCKqZryUB/+QGwWbx/LxNk2az6E3F4+85k9uJj8GT7/JbZY3OZg4 qe512rAYAi6FRidfZkMozPPqkbmnWO3my3OvpaB4/orb6ZpSzGzyN3g2lAWh Vyvqj8ufQ3lDL0/YniyQOYOHOW6+wG9C5lKafybOKtw7YGJWjoD0bxqkkQxE 1MWu/4/la5zZGSS9US8DH9mjfn4PrATqwoVelqfjgat2Rnl3FTxCdcgrO9PB 0/ODnqNdA3Lij6Y3imT4lFjXPS+vxZ07zWLf5NMg0/BRfq3eW5hykrUKD6fi 3nLlXqfZejTE9Dj8y9SZ+/76bUnljfguWGQq6psMh+fDWTtSmjGntnuqwSUJ uny8ySdt2sCdd3XXZ+9ElJe4VZ8z78QWueQjFckJSKwq4nii3Q0Pe6fM2D/x MA60U2RP74G6id39TQ7xmHwZU7yduxfxzp1c9sNxOHAl13cs6D2Wdw8vd9rG IZny4dhf7n689hMmUn7Ewkcwg9ycNoANv3i2Cj6IRar3M/Gbqh+Qb3HbuXZv LBh/PpvV0oegMPldy24wBlTR2xVz2cPI1s8o0I2IgXkPf7WP7WcM7CpI6DwV AztWG/b+iBGoKV1ZPc8Xg+jy5FGG8xeU6jiPnP5Ewu+DmaHPdL4iX+2MvlQJ CTEDi3NjYqMgP3IUpfmQIOQSKR1uOoYiY4+vSkYkeASN/d53ZxxBMoXUHhUS xo/MnSyy/YaUhoLxQWkSatxZT+qqTCCLhzMhX4gEjo5U031rJ7Fc55pfwkvC NL84dezNJFIXqPIuG0iYKpVoV3D9jqc0oxDbjSS0srKsF+Cdgpl3cMYOARJ8 Vo85t1GmcNJhbPNpERLszTt218rTEDTgo80lx8z3xLpJvIsGryW1kUiQYFef tZ7behr3BS79Vj9PYurK95fu0DTyQuhuYZ4kiP96HvxEhw77hjyxRRIJW0Qa yJuy6Pi7wqYkU0aCMEnHSOEnHXpFwozyDySYaISfLlZmYMivx99pTQy6719/ JeTGwITtjU7DgzEoFt54P5/KQPuDuJh0pxjoB2wJNxpk4I6d1HeutBhosklY zq8yMP5jPPdkXwzG1dXz5LcTMHizp2svbyxGilSuGKoQOJJhbR56KhZ35RzJ t/QJNM5quBwOjYXSyllSoiWBFq6AUfGGWCRJVee5XCJg/TFi8262OFBEbsvF ehDgWbPv/fF/4mCRHqsb5UNg06bZbPOQOGiuy9rVGkDAQWmrtdm7OOQenxLS vkegouLvSpxkPFr5SUlHwgkoWh0R4LoWj7rEyvHVhwSCjNmXcmviQVq/uXkg koAftcjEVSABjkpxGb8eEZCSkvM975iAy45VfkFRBHydBw9deJUA1wrR2DQm toigahtsSkS8x0yoFRP/FIuvMXFIREz+bfN+pv8tDW4xn4pEnL32NUeQiY9m Lv9bszkJp7UzOmSZ+Xi3XmvZ7ZqEviXZQuEIAks6k7qlTUk4p3R2B+0Bs15N 0X12O5MhxhsSTmHyL7oV9bknORnvHM65jN0nEKVnuWfflhRMGk+uXx/KPO85 N22/RykIGYiQ3xZCIFDEkKtuQyqizh3UFAoiIP5ZLpT9YSpIVebV7HcJPFgc /muwMQ2LmYlOE3cIJIXn2s5T0jDPqmF6yY9Aet/yBRN1Mr5U2i4O3SIwTVr6 5vmBDPJxO5nj3sz6G/G6F6ulQ153m02cF4HbLWGHox6mI/4fgx+f3AloVNLU ZGfT8UdrudnDjUBPafToonkGIg80759zJpAVcKKapz4D9VTpTTYXCZxoqLp6 6UAmFr+WHHxxgcAfin/CtvRMHF/4aPHHhoCXrOoZyGVhsvTWUW2mXmqkrII5 XmXhjX6Vk+s5AqrkJu5gfQpSDLLVbxgRKBy+k9f8lYL56/4CVgYE7HPKGYzL 2dBw/hjwRpeAkaS7hNRCNgZKVg3XaRM4tlbV0D0oByYKVuvkQeDvBMVtcksu pLZwSqocJXBoWw0rNyUX7WrNEjbKBIgZ2spO5TxYpcyIuuwnMJGU4Xa8OQ+X Oe/nW8kRsOpmVXeyoWL0lKy10i4C3eq6rW/ZCuC33etRoyDzX3bbUEegthAW G91Z73ESCBnbcvFP7BNwLLRLOP9m4Fa0Sga7RjG+5QY/uzLBwLarjgYXtZ7i 1JVY3uD3DKwWzqi2ri3B89H1nw43MaDGt/NUXFMJ2Ky2k9xeMSB8IPZqb0wp aFpc3rKFDJy6vcf8gdMzyL7ewemUyoBTY4BA9fHnqI2+viAVwYDFcNOWbyXP 4TBXtSQcwgDJ48eH6l1loDULzdP9GJhTmdlomFIGw7s7W8heDPRbuM5HCLzA nO0ut30uDBSz5/nVD77AQY69CRLWDLx8dOiEC+UlniwslJWdYcDbl938hkc5 4iZfcP/UYDDvr+C9bp1XeKiXtOGdIgPXo70OO4q/Bk+Bh4u5FAPhkpp0o/YK nOfIWKfLykCJ0OzVv2FvkPvceYgYpcNM7W23tFw1VK8Wq1vX0uHJM7W6tLUG J4Xc3XPJdPTfOySmzVkL9rTpl8M+dJCL18i1WNfCXkQzpcuVjtOaEsYfX9RC 6rLfT4otHQ01QSFuvHWYECLzW5rQoXDwzDnvS3WgzAxc/sV8T4Ue+z0W72Wu i+8Y+nSIjpcjw+06eItiqarUrF10cMblRQ/lv4W9Spu37lY61rk8PNG4tR77 u/T/7WKjQ3748C+n1npoj+5PF5maRpn6yJKRfwPYVMP37e2Yhq8/ZUFEuRHe LZwXN5dMw3w9Y43p90bML5M1vsROQ0+zOT4ypQnnMinHKDenseBwXGuHTTPK 9rxrTDSfRmeP2eBlyRbof6l4+kR1Ghu5NckfP7fAQJ6j/4/oNIq4Dp6dSWqF 8p+Fv1ErNJjY7XwvbdSGRsFlj4cjNLDEmQaysbXDQaGoeU0dDXcZpomSpe3w Kn2avi6HBlWln0cELTvwke+XX859GkjOCdJanzrwSP9rRpYHDTI3SgR7LTvx nzmXbmErGixcN4Pa34lvAYrlvHo07LSl+xnLdCHfS18rUomG809vXRuy6cLk Cc/IZAka2tlv9tkndMFCZP/q0Q00aJrNPfrW3oXZam0Z90Vmf+zx+2u9phtv JBmN2pNT+HRWr0Jyezf20BaFyoankNuQZLBHrRslul8v2LybQj9rDt+N890Q uB7Gp908hW/3Aou4PbsRKlnqbFs1hY6HQZpCWd24f+pG09UnU/CInK6d6uzG Lb2hLuW0KfwXCSzW7w== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Xk8V9kbB3CFUpKRtsGUkVKplKls8YlkyhZNy09jGVQGTV8RZRuypVBC ZalQGlmSpjBFQlpF8j0nQ0jMqHMtWcL0Q82ZP+7rvt6ve+45z33uc57zrYto +77JEhIS5/j13117PK3NLrkBRFNnmf3pEYiDUk4uvtSAzM6u3i6fEZSb+Bb6 3m2As//B2U4Dw0jUEnIpbYDK6vqOs0eHoW07ftS6vwF+o1qfo2SGIS+ecu39 NDGOi3bL2GZ8BNP2/zFfTQz4NQxq4SP8DeNLxyHGL+l+wan1QyhXtmpWsxdj 0+lZvukeQwj5SzdJ84gYiS5//bN9xhBMVzYpLDojRrx6ziV2exBj+/rJ7Fz+ ftz4zFuug/CbUyQ+/1gM3TWdV99NGcSkkN5NBZ1imLiN2ty+OYDiC95uHp/F +NrMNN/EdQDG96JcW+cRlO+sS2tWGkDW3qO7560m+PiualFrYz++GCSW3LAk 0FGUnTwnph+ZZjIaSW4EsU87rnw27UdRWKFFWyhBy5hR9CupfswkOtN/Syb4 PEtvaXfiB6ClJn/SDYLvRtPXJmt8gJ0oOlfvKcG28/2BFnl9yE7NXuv/9r/5 lvSU6vch/1RfVucogWzt3JsRpBdOEl+SUmZQGGYZ7/I70gvN63aqdxZS6L/z WBan1gvHjKqaE+soVAye62VV9cB1yLnGcCtF1pyHqzMP9MBC8YTz5B8p7r5u pxYLe7C30+25hCeFhaF0UFpTN74fulbg6E9R1ZxiVpDajbfM3dMoisJ0yU7z KuduyKwp9rt/hiK9cL/S6lXd2BC88uLnNIpdhXGe+78IeKVgvHnuVYrhnptH u4iAHXXpsYZ5FDkbPFt+LhHw5JCcEimkuJO4UHEwTYCL1uXRjiKKhntHPH4M E/DWqDHd+y7F18MXLx7zEFBZu2haTDmF9rKbB0x3CPCxGnYIvc/jeRJ6qcda gKWF98ODFRQPs9VC87cKcFdfb7+rkuLvBbOuhJsKiKiwMNKporBfnJp2CAKU 5f/vYMUddnef7ICRgElyzw+4cmukB9z24laoeOLhz31Rqfxcv6EAz+yEfRHc wxpLzxVyVw8vtT/NbTi98YoXd2zh9p2p3PNz+uJWc78f2mR+lZsW7Ynq3yDg 4cYSzVJus+sk0YvbLnPbeD237HhEc7+BgBa12WVd3EK7zZ5D3N9ofnO57AHF h+CRqLD1Aho/+SvGVlMsjfotPmeNgEt3OpfvfEgRktA1q2uFgD+fVU+e/4hC 92Zfrs5SAaP3hmfPfUrh7BAUojBHgPpg5cy8GgrFlI+qFpIC6iek57XVUhTq /97ybJDBZ4ZTe9ELiproqLn+nQztSpMLdF9STMQ6qG2kDO6DmrqDDTz+8Ioa l0qGCev0NilCUZn1Vi7vBoOl0Uq9MG4tBQuvN+kMohOlywK4XUJuz609w+Cb ZyA7Jub1FGBcaxbJQFZKNCpwlyZU/KAewNATXjmswtdrdfakegcYjOKjvg2r oyA2e93ifmKIfmnjas/j/62ue3vdLobdvw/OfvCYf7+He3iJNcO9flnHZzxf 65pb78htYeiY5JERzuvjlt6UmZdMGL6k/d44wetpj1Cau8GIIfOwe0nSLYqb Vm6vV+oxHA648XcTr88lA1M/taxjcD71Wqn3CoX1t5Ux3d8x2HxjYPiO17dt Q6D6TO6db26UvU6kaE5XD5ThTu2+l9cUQ3GlKcA+l9uwPD69J5xiZeoW49q1 DNflbHuTA3k+poaaidYzRM5p/ErkQ7FiTvVpV12Gawbviw/z/VdV49qaoM+w fv27Z9ddKUZ0p08IGxjeeg82q9hTpG5VLHMAQ614dP+DHRRjUi8U2o0ZvBhb cNmK4nyRi5+7KYP1Ajv/A5sptkIxQvQ9X7/RrifSkEKsUKNy0JyP74yV7+X9 YYXtR0cnK/5/HI9LZqzi+3N2gDZs+Hh53ZQLGhRDWpGvpv/AsHhC0atdlec7 a350xU6G7DWrrpD5FNOixIWSdgxl50YOailQzJJ4oKRmz+B/3ry9exrFqo4d YmUnhuVe4yrSkhTbqtVDBpwZ/rxfc8hvnMA7eMqirL0Mklcl9xiMEMTkSUqs c2PweNWBhj4CB4fWGBMPhuDqgcdt7whq8smZhb8wRJBkKzveH1XOK4/ViRgs MjoL9F9zex5N+8Gb4VbOhc1BlCCuQGpp4WGG+kx77aCXBBdlJd/u8GPQL/4z MreW8P4/3azrCLcrk5V+xvvt+0rTff4MxwoSr594RNCxxfR+A6/PsD796q2V BPIHK20/BTFMFbfMdC8jsNVVdPnnVz7/xtWn2ksIBLmiroZQhmK7FzU5twg2 5yulxYQxfJJKFJfzft9VHjl5cQTDh6SWP1ZlE8yXisi7fJxhSr7vuHQGwZax +ouxJ/n+WbJqt0wqgaPb44mxWJ6PijIlqbMESuYGPtKn/6sHB9X6eIKvZg0N 3Innz9N1dMzjeHxDj4I1EhhMNOMbRLEEbX0HxkK4P3e6X0iPIZBrDrEh3I2h kfOaThK89JEtUU9kKGjJeKHM3bRF5HCI2yl6xi63EwRFQeWiu9zGAQlNrtGE 9+HAwEVJfL3MTzHexwkeiVKXRHLXt0WrJ0QR3InQGHnD3Rwo410ZSaAa/GL/ 2rMMIZaRjl0RBGevDk6J4770v/EkFe4XVYZX27iTp5oUu4Tz82/Pwfpl5xie WuqGlIQR7Ng0ICviVm199evhY3y9j6mZA9xC8tOEffx8tY4tVXM6z9C2Qn53 WAiBsqowfJdbZ/+C4ge/EvT98dPY1GSGv9WyHy3i/u5sYsoW7n9K0iy9gwks Jw2Zx3PfuxyT1hVEcHKTT8kTbsljP59K4FZfHpQncG9PXLbckrtO+vncqSkM +b5O6xS4BXK0YwE3G9xD3gQSzHhdKtbm3shG/Yu5X97yjd7EfU11jX8Kt6Ky u+E2bnP5Ao9Q7hNxOXZ23P8CliPlaw== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.32000000000000006`, 0.7999999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.3400000000000001, 0.82}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.825] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVke3uLFExZhYsBeU2HuvUY4SNdEPjb23YMOGDTFGjGKPYgWJUaMo il2xd18UJYooiCBVRTovvVmwcP2tdZ59fuu4srjeL3fd7343f7Getc8e9p45 M7Nnnz2vhc3sQZOLmpiY2JQ0Mfl/f5ctft/CfFWk4QefFYaxXb2UntftQryG PhIuW/T6y9XWvsIjzH+qcOr8QWH0R337JNK7x03Rh9GH0YfRL378Veigyf6i D6MPow+jP9y09PR5PR+JPow+jD6MfrOrVWy/HhYm+jD6MPow+kVm159S3PaJ 6MPow+jD6KdsrnY6oetz0YfRh9GH0R86vU7re7djRR9GH0YfRt/wTUOvk/0T RB9GH0YfRr9xrRYtXUOTRB9GH0Yf9o0v8mRMzFnF5UW7Ez9OSFHGzHK3MA30 E0b+LuDr5mOT05SYXR2WT50VanjqsPeLlhO3K9aGfgNzFz8Qxh74wC9jurbt clVY9H85ZVeiplHTV1n0VRZ9lbEfbnf8l4OlvtyqfDfxYppxf6rw6a6GmQHN M5Q6XuXu7HS/KXL6B3voH1jaV1meV/+fPK/7//QXTH+ZDYwr8WzyYaVT9/kb letGxXHT9CUjx28wVLVIXd54qKfwykcZ/e8vSlby/2H7wJD4QJ6HaZ/2Rqx+ Z+22Pl38Q0572FfMY0sHv/LXpL3rG8PsB130VdKPvbh/qmiqMP3DePM8/uj1 Yd4XPevbx77WzjvCrBaFG5qdODK02Zw5isvxoKbOP4QI5z0ovTSkz0PhE9Gr 9neb5Ccs64XKc+u+6BvY7qawrb9/zO3SZ4V5f0o33nMlY/xlGV+Y/urgsOVa g/7nhJ9FHrt0ca5B9FvmG8N/GfyH6MM8f6tO3KgDfreEdzzKGmEXdVf0U1sW S9lwJVD0YZ63W10wrGP6A+F9u1Y3MTEJEv2bMeWSh90PEX2Y58s4bDgctzZY eOH3ro3ulg8Vfbdt5om1n0WIPszzzxvtPHh8R7iwddF9DbbWjRL9md81i0/K fCb6MM+fjzx0wOHYU+HNEcO3Ht8RLfru73ZljXCKEX2Y53t/G/mw9rPnwvln xpXfWjdWG79QjzndSsdr46cyz3vViRlQ3DZOeNKGyZsdjsWLvr3XkQwLl0TR h3m+en5SQFJmgvCDKTPLjm6fJMx+C7N/wuyHMPsbzH4Fs//A7Ccw+wPMeg/r 12/mL/N9X7Wfvqj3bZow6xHrBXKxT50vPM/85Xl49h5784XHbik11oaOfTBY W0991xhSl1rHW7I+wvQ3zPzdX3RJ1cFTjGL/lttdkoatTVccb6z2+bF7qGXZ lWGn06evE44YmjJh/p29wsGRWx44uV4Q7u5w7NDYpteEXQdPig1Kuy3s5z43 sPulO8K7owyzT5cKFO6yoveUaXYPhe033Z+1uHqIcLkOQya1WfZY+DuryBk9 m0UIxyX9YPNmS6SweV7StC8snwk/ud+xVczAaOHXg9+0TWkYI/ztQcuTvhEa T2xe9EyAV5zwqWW9WhydGC98v4Rpm7OdE4VrjLI+vilV447RZU9tv5msXD2R 3ebXsWGGiHz38VM/9PeyLJvwxi0ChUs/tC7IyjcIM16wnfP2KV29vRWY9vde qtxqyT9ShTPKjDo64n2qMq9YlPP6TYEfPf+5S62TPwRr4zsyYUKTbmsylMs1 24W8qPyHvL/OB18/dNtzUPbvdq6Liy+qFX+d/Rh9mY8qy3xUWeajyjIfVZb5 qLLMR5VlPqos81FlmY8q6+Mv/Gc+wLzv+v7Rx1/IN/cp8OpRMUDb39Xnmc/9 H1fodX7Kx/M70KZHnRmD05QJkw+EO611l/ZsdpevvtvilPDbB+fT34ffUpx+ qd654jttPIenpu5/9vyIcIBvQGqR1snKl1uqrrD18hf94tUO3fdYEqjs8pzd x7lciuI6JaV80/f+SpU7S6Niz6cor/ot3jmh5CUlp1fmSKev0yWe+aLN+5fH p6Yo9WrP3tjV2Utx6Gqd/CQ0XWnm1D1r7PmzH8U3rBebN/3m3La9u0Hff2nW LpmlS2r9Q/zD+sbzTZpn76nhcVHs3/qs8S9Xsu8o23zcDxYbrcUrz2+eH7b1 jBZP6v8f8U7Qo7WN3yy7JfIjfRp5H864I8x4KofqH/Ipm6pc9cgbO+Wre7Ke Eg/jH/EwzP4FY0/UF9uynbwyRJ/1tX+Zq8ZpseGGVn+s/84w1N2yYplFvjXK auzQ/FS1yS+Dhb2a53Y7cy9EmP9PexW+b7bl7ZmHIg/rnzzzxLNA4XnRVssy Nt0VNkbfubO+0z1h1nsYf2j/WN3Os81NfUTeoe6ZBssn3BBOv9d7R2Ob08Ix /oOa2pw5J8z6IPGcOj7by205dq/kGW2+ug+LN43ylvVE4jdVnpc2MWjhQR/h aSXmPd9Z4CfPS7ymyvcMXvrA9N594dLnfdPdtgTJ8xKfqfL9Y/rF93uprT9P bYNTx3uEyvMSj6nyn8qOjq1sGi58tkaMsdG5KHle4i9V3v+m7fNn1Z8K90pc mPtjbLQ8L/GWKt/S5crsIW7a+nbS++f5Y2fGyvMSX6nyN2Y30zvV1vajajtW ZffIi5fnJZ5S5ZPT7syqdUhbH1fMd57b4OckxXOa1c/prhEyH6cfO13PaXKQ 8Linvdwazrwl3N1q5iL7RReFzY+P2t6i00lh/j/7B/+vs/vjGQmXtPVgeIMd szM2pcnz7C/IPRY9MfpZpSvP65bxXpO9Rzn9ICx5/7wMpdT6nx52XPJY+/+B TVZH9woW3rEzJMN1p7+wd/0OIxOa3RH2m9Kt1Zuz3op16fa1LX/X4rF426EW ezLSlLVnL1fOydLiMfc+96NrDdom7/eF9V06L6y+7KP51OtRcivjwIsG9huY /QZmP4fRv1PbP6Zq082iD6MPow8bc8Yb5/4aIvtRg1MZ3zzzfaKd7y4Y+jd4 EyMcsG3Nm6gKicKz7L8/5NIkRfjzwVWG9rXKEA7ZnrHM5HiWcL21g0MjL+YI z194ofmFW3nCN6fUWLk18KVw+WFLI2ZFvRae0Cu2VZ+kN8In2327pl7uO+GC ukefFBQUfJT/YD/FXxh/YfyF8RfGXxh/YfyF8RfGXxh/YfyF8RfGXxh/YeKR s0MsHtfpnCn+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/9Nu 7K/ksiRL/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP/NWzQa +tnNbPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8f7TjqOvC ErniP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+L+2ZMvg5L55 4j+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/hvaX/abMymF+I/ jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sPWlbZ3u7L0oZy/8R/m /EW8RH/J+Vw9j3z5eWzeyMhM4VsLp7T3r50t/GNcsr3lpBzhFgNnnfU6lCsc ey0z56u0PGG9fezP2MP+xfOs5zDrG8x8h3n/Yd6HncXfuritf/RRvpv4jPz7 FznLnEsFZsh5lvMc8R3n17VBDX9tdDJc+hPGn5g/Rr/qmxEtchj5Ms+6B4qU jBc5jNx8VcrAi+bJIoeRX5145r1dhzSRw8ib770WUuFgpshhyTdstmiWfjpb 5DBy/6Wrlt+9nityGHn12clh+/1eiBxGPn1cv5bLHr8SOYz8Yr9Tq0bH5Isc Rl6qW6WoDulvRQ4jH95sUZsK+e9FDiPnPNoxctc0rzHHJN6FyR/MqRPVxqL7 GeGNC5xmmXfeZ+D8zfMw8TLnaeQwcv4/3DnWp3u/D+dC3r8F7oN3XA56Jhx2 Iuu1WZE4YYcNlzz9qiYJV5zpNNipVarwyAP1TGrWyxQ+5Lp22MuW2cKvVqQe C/o6V7j3/AHFTnz7QtjN5uzIXwa/Eo4bWNVr0vh87ftQD8cS3We8FV7RKnpM jYXvhZs2qlDKdEnBR9+/9OcJ5KE31qcVuxIpzHoLrzNs8OiU91yY9RdutHvo gIwyCcKsx7CvY613B+oZhVmf4Umj4w+P6ZouzHoNF/l92FHTJlnCrN/wAOfL ReLb5wiznsPui81HePfIE2Z9h9OnLz+xs99LYdZ72HJUQvGFI18Ls/7Dzn36 jh40+Y0w+wEc1enEqeZz3wmzP+j7m/nCeLC+0d/IGQ/k9DdyxgM5/S3fG9Xx QE5/I2c8kNPfyBkP5PQ3csYDOf2NnPFATn8jZzyQ09/IGQ/k9Lfks9XxQE5/ I2c8kLM/I2f+ICd/oT///2e/v7C/O7j3yQgtq33vHXW/8l6r/+/7S9DlSAvf 114G2L/78k3Btz0NJ7xnJLy6Hib5zbzr72q3XRgt7PL7bf/kjXHCrR03LHL3 TBIOGDW0wfDrqcIXd21MLjEjU7iEc7YS45AtPGzxMLdry3OF90+/nLp94wvh 3JHm39jveCVs1Wf5b9975mv53U4JGU1OvxWOadi3d4nr74Xpb/Kr58+Z+i+q 8uffI+iPrh0qVPE4kSkc8+xMcLlSWcKZ+7YNq5SjsZt1x4orrLOFPctWc1vT MUfY+tLlwXmbNR7luCvk9eJcYZMGli5TQzQul1y70kzvPOHzW28EhVd7IUz8 BOvXW/x39Wp8+bqZ9n2BeKvLGueYlMvaeiDjqc5/GU91vsPMb5j5DDN/YeYr zPyEmY8w8w9mvsHML3l/9k8d7jX54+8jO6bXCh82WMsH6uNH8uuSD1bjSfm+ p8aTMPEkTDz56pLTL+sXBCmbvr/oWN/WqJSL8ehsdTD4T7+/6POP+nxgYd9X iC95n4knYeJHmHgRJj6EiQdh4j+YeA8mvoOJ52DiN5h4DSY+k+8d6vhIPKb2 75ero75xXH1OePeQIr8Gjthp+L/+PeTWZzV37l3zWN4vE5+juV9eeCpcy7tW Q8v5scJXdsc/yl2nzd+RS44vO7pPm78vRy9obnNZm799fzefVSZZm787nJf7 JOZq8zdpcUI1HxNtfe40o++c3WW09Xn1qBO+i6pq6/PjPhVqDa2nrc/1OjvM b9VKW5/9Wx0yN+9QILyutmNWjo/GvB+cP3kfVjfOPhs6WWO31EcdogZkyfOc T2U9d1uQ2+eINr+tRw536L8tW57n/Crre9HXba+ma/omvhHnvMNz5HnOt7Le z3ac36KtxufbjMtrY54nz3P+RT4mquC0+0KNp+953u6AzQuJnxlvm7jYb0fs iZD+sN7T1uXk4yhtfQ68FGgz9blwrxM/OHy5Qlu/Z510WlJtabxwrHPjurd3 JGjr98Y+TQLdkoWdZmQFLD5tFD48s3zo6hNpwrX7XnJs45cuvO9A6g3zWG1/ n+Dq7Zo7R3t/sl0HVM1P1/b7EyvqpQQ4au+T1cqzdiH52v7/ft7aHkfXavvD 5vlVb3uV0PYHa5vUX1e7ahxt41jDuYK2X+waOCD9B3eNWwyKnjvVXNs/jN3P 9ux2TOOfe/S8Y9VE20+6tKq6s+pFjfXfj/Xfs/Xfx/Xfgxjf6KUDXk4ro+XL ie/YP2H2T5j9E2b/hNk/YfZPmP0TZv+EiY9g7COewD4Y+2Dsg7EPxj4Y+2Ds g7EPxj6YeJb6EOJdmPgHJr6BiW9g4htY4mW13oT2YdqHaR+mfZj2YdqnfoX2 YdqHaR+mfZj2YdqnHob2YdqHaR+mfZj2Ydqnvob2YdqHaR+mfZj2YdqnXof2 YdqHaR+mfZj2qPehPZj2YNqDaQ+mPeqFaA+mPZj2YPSpL0IfRh/meeqPeB7m eZj4g3if8yPM+RHm/Cj5SFWfeBp9GH0YfRh94m30YfRh9GH0icfRh5ETnxPf Uj9GfA9zHtDLqSfhPISc+Frq2dX4Wurf1fga5v2FsYf2+X/UoyCHkVN/ghxG Tr0JTD0JTL0I9iHHPhg5z6NP/Yj0j1ofgv96OfUg9BfP877DyHlexket35Lx 4b4A46G7P0D8RzwNcx4g3uN9gZk/+vHX7x/ImU8w/sCsB/rxpj3aZ71HDiNn vUYOI2e9RQ4jZ72E5b6LOr4wctYvmPWI8YWRs/4wfjByfX0y4yX9qbtPwXgx nsxnxk++16r5Qu5PkF+kXp18JPXj5C+pB+c+QdcEn1UOzbLk/kHWoG9vJ83J lnw69dDk36kv536C265VB04+yJL7DP8wNY23MMuR9QfGXtojfiffyvgh53ne H87jnH+Jv2Ce574CzP0D+k++L6ks+R61v5HD+u8jyGG5H6T+P76P8H1MX08O 8z0N5vsZzPc3mO8hMOOpHx+Y8Yf5XgLzvsD0r8SPqj/cByH/QX/DPE8+RPIT KiMnP4IcRk6+BDmMnPwJchg5+RTkMHLyK8hh5ORbkMP6/uB+C+sH+w37B8z8 4T4KzH0Uxov1n/Hk/gXzifnBfIO57wNz3wcmXtCzfL9U5x/5dLlvo37f5f0m 34u+5H/V5/m+C/M9GPtYX+g/zk+sN9jHfgSzPsGsj/rvZ/r7Xvr4i//P+s1+ DrPeM1+4f8P+yn4Ms54zP7mvRn8RnzEez1sWndJtncb670fYw/zkvhD7K/+f +c99HOYr/cn3TtYf+pPxpr/5//QPcvob+Ysq3+0M7mf86Dyp/34CYy9MPADj L8x8gVnP4WH9fw9t7W6UeIHzNXLO1zDna5jzNcz5GuZ8DXO+hjlfw5yv4fyC Ct0snY0Sr8S4PAp2KG+U+KTyXNNDI1pq8Yh18SKPPDsmfHT+mmBXbfydBTHK rjr1/jiw/7nEF6OKW1cLcHqi6O+3kg+mvytUnfrAdFCyMill3OXHT30lXmC+ jkz0KL9ySqZiWeWwQ0ipxxI/REY1GR/X2KjUnzbUotFn+wyGy/mZ7XYalasl kzsUSz2izB5tEzFo24f1v/ubgwUB3krWb3PzMjoYlVJ2A/pdM/VTnpyq1sfM 8UO80SCkTrfjUYpZ/NPd5ZrGKFUSVpVN6fnhfBfda13nPU+Urfnjf7e1SlDe JpydsXSDryHoZKc563/MUobl1NzjsSTYYO07fmsb12wlupTV1IiIZMVu5Xfz fg46Jfns/6n7TweOLfl5WlCykm39Q8XsSwGF3oeqX8TJ1+dCktIgInxZQL8Q 5Zx92Xehw5OUmdalG530+efvSzFf7t6oGzLoTYTic61HxbY1tfOK06sYq8yZ 8YqlT7uMA/M0/f/q/aovb7/e5ZERI+eZGQtXZ1VcG618b9O9xUA/7fk/u3/F /K/TMKLtkDZa/fu/yn2sUWbnbMOHPJL4u7D7WRNO2K1wOhNgcLtc69fjJbMV v+RKS2JvXJJ4nfX2WZn1vfbMzVb6Tm7XznlfoJyv3laaMMGmdbhhnE/vTCtz LT52a7gtNXdCjlJ7S60RPVyTZT0nHia/rb/v9c60eIX0FVp8/Kn3v2i/2tdX DRW2fvp9sAEWaW03W8TJ/kk81CSswwCL9tr9Pv356VjBhVubZmnvz5/dHyvj HF/qaOpj2W85Xz1OXKeYPUz8y++X6e+TEf+/SrF5mpWrnb987f1NXhuzlboT c/3TNhqVziu8PfM77lMiwwdsHf80Rrlbv8uPTV1iCr1vNvX+oVoXYhNlfFf1 82v5tF+S8J4e+yZdP56ouFaY4lCxcrhS9vxJi+1fJSqZ5Tau87gXoSywO5pU 4kKsMiJ2WYrVKe3+CvfTtnr97BrW/7Gyt3+q3fhyycrc0pn12/vvM6zMD+nj ODBTmTT7ZlrTLpGGWiODr3uMyFGKXLhyOnC+UVnqUKdxlZ9WKheulrHfmqG9 f//sfbPC7o8te2reusT7ZIm/E8sf+Wl0ow/v94gz456N3WewjNvt/o2HUfJF Nb+vUHfjHqMy5IRDH+9y15TVXQI89o82Sr7IcNt+jVk3o2JW7jdT4567SsX5 fcNbH9fyRZ5Nn8Q7uiQrtzxdRra2fqjULXbz5a72ycrF1KtplRs9UqYUG7x7 cmct/3MyrmLZiY3iFbN2Vvl1vohWppR7833/ARESn7Xa4R06q1SE0tDsbIrv icRPvs+mv99HvKl/vnyXggnnMjIVl13pa7ufS1aetk3aUN72nIH+JT7R3xf9 bFDmr1UuHJPxtBgQtsCzoudH6wv3HbGH9tbt+zy9+bQr2vMeVZZOuXxdOH9j jd/cnf8QXr5x24DicbeV/+r9NPzn/1//R/0jc80eSHsdrI9mf3E1QPjiylqe 1/IeCf+8MsJptoXGrB+0V3PivhYNOoeKfNjE+EH2X4QJ5/Y4XtCkfpTw5R7T I6MGRAqznkl9UZ02a11sn4m8z+Yuj+eYRwv/tnR3M+smMcKLCxyr1/d+Lsz6 SXt306PnmPjHijzRruiKhh3ihDuOmxJe9ENcBVd72vOPyNB4Yc4HtPfZsTl+ s96kiLxus61RrpNThefXeNFmztx04aE7g+v0Kanxm8qG8AMf5l90+YmNE8NO K3MrhVil7TcqR2a8c75694LkB/h/g3rt+nqraaboT/js+K0DlhqXevd0tkvP LO396fogYWlZjckf0J57O5Otsypli9wrt1wNp74aj0i18rUbkCP8XbM23UbX 0Jh8A+1l1p2U9J1FrshN4uznjhmm8aFIz5p9x+QJb6/h5tKhocbkJ2jP0uyO Zb3mL0Te/1HYHx1tNH7hV3p+fduXwgml85PLt9WYfAbtbSzabFtBp1ci332z q7mZnca9L9vdNbF/rc2H/LHd0yw1Jv9Be1FZm1IieuaLPPWUu336Io1dDwfV jlr6Rnhl8g23O301Jl9Ce82e5/Q4P+CtyLvuLX7v7iqN47Z3cLiw/p1wcFj9 NI9hGpNfoT3HwOHbt4x5L/J1m20tDmzRuM3aHf5bfy0Qrnfnl2+W2mj8qfdZ D0RVTi6/1Kg41F23yMPoo+y5smhh/myj8vmi1PI9V93+5Puu9wzRe4ulJSsm 81Y+mDjpwSfffzVuKNcj5dckyR9dmDqkfZ1OScoI21mDf+v0338/dmTuEV+b aonK9MXzlXaJEcrB3iOnln8cr5TLrd5xme3Tf7n7sxd/KDI6YMwz5eLWPfbZ a+KVqzs/LzlHiZZ8Gvm1q6ZndnQfGq8YF/xmXnp/lFLzZJKn4UN7trtXjbML i1Qu/FT+dvH8hL/8Pq7+fv2n3s/V/75Ag4ZD0o2zgz5q78/u79qXTZk4seVk g3mJgwmPP8tUjlQ3KV0t3sdwpMze9LR+WUrw8NLDhpjeNAzd2XVocMss5YHX vNGnql8xfHW7TpHFCZnKvZaVbEonat+byV9+1yk73exw6D99H7iw3wtoO7Bk 5ZDeOySfRjyZm9so5ss62vdRr57GtzPts5T5hxIPxDVNVuxuvznk8+Fcd9Tg 61wrN0aJPBxz6J1jjHJ44d1KE8c8V5J+zP96jGmc8tW7Y7f7TAlWVgWVT1p9 LVkJnlbWL77GPUOTCvd9FnpnKePaR3jXa3/aUNDuRrMZuzKVrkPeHWof8tjg Z7GgiFt4tjLohtlQz8ZBhn57+7fu0T9bebneunup+XFK7xtrm/V4Hq10KbEv tlurMOXa/tDmJj9o338433H+gMnnwJyfYfJFMPkAmPbJ19G+vt4Vpn2Y9mHa h8nP6fNxMPk4mHwcTD4OJh8Hk4+DycfB5ONg8nEw9nH+xT4Y+2Dsg7EPxj4Y +2Dsg7EPxj4Y+ziPYx+MfTD2wdgHYx+MfTD2wdgHYx+MfeQHsA/GPhj7YOyD sQ/GPhj7YOyDsQ/GPtYj7IOxD8Y+GPtg7IOxD8Y+GPtg7NPX55AvwV4Ye2Hs hbEXxl4Ye2HshbEXxl4Ye2HsJX+DvTD2wtgLYy+MvTD2wtgLYy+MvTD26uuL yCdhP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbr65vId+EPjD8w/sD4A+MPjD8w /sD4A+MPjD8w/sD4A+MP+Tn8gfEHxh8Yf2D8gfEHxh8Yf2D8gfEHxh8Yf/S/ D6r/fqKvr+L7Cc/DPA+T3+U+BPow+jD6MPrcn0AfRh9GH0af+y/ow+jD6MPk k8jHkS+GyS+QX+L8L/lo9fwOc/6GOT/DnH9hzq8w50+Y8yPMeOrrjThPwfr6 Ls4zvL8w+R19fRb5Tal34/daqXdTWertVJb+Uln6i3wp/aWy9JfK0l8qS3+p LP2lsvSXytJfKkt/6erH+F5B/pJ6f94n/f114k+YeBH/9d8z9PEk48V6ALMe wKwHMOsBzHoAsx7ArAcw64H+fZHfU1bHk/2H8We9kHo3tf+k3k1lqXdUWfxV WfxVWfxVWfxVWfxVWfxVWfxVWfxVWfzV/X4w36843/H7p9Qj6H+PVF/Pwf1v 3m/yu/gLIyc/gxxGTr4FOcz/4/dgGS/yG/Q3TH0T9RTMV/ILjB9M/Q31FeTb mQ8w+wH5cdZDWO67q/lrue+uMnLeJ+QwcuyV+/QqI+f9RA4jpx6E+i7uD8Pc h4e5PwxzPx7m/jDMfXmY+8Mw9+dh7g/D3KeHuT8Mc78e5v4wzH17mPvDMPfv Ye4P6+sL+b1h3ifiY+YD9ZQw+wfvF7/3y/gQH5F/ot5S6mXV+Uc9D/VDzEe5 j6XON+orYeozeR9Zj9GX+1nq89Rfwp4Gv+Kjz+WIPvez0Jf7WurzJg7O9VyH azy6Wf+e91/nij73tdCX+1v8HnJM2Ukldmlc7reHKxRL7f4W8YbUm6rrL/VS rDc8L/dPVZb7pyrL/VOViYdYX4gHWF9g3gfq9ZhP7P+s7zD1YtTDEk8xftRT 6cePejD2W8aL+AymXovxo39433i/qBekv/h/tE//UD/I+wPTPv1DPoX1g/pP 5OQzkFMPiZx8AnLmF/3FfGC+wOhz3kdfPx6cp9if6H/0mZ+ML8z4Mp9h9jv0 ef/4/8j1vzfwd33cv1Z93L9bPVxhvz+hr5fT16sVVo/2qfVkhdWD6eu9/t1/ H0NfD/bP/h7Gp9aPFfb7Gfr6sr/69zRYD1n/9PUnhdWz6evX9PVohdWX6evJ CqsX+9/++x36ejR9/eGf3f/X3x+ifu1Tf7+jsHq3wuqL/rvq3fg9g0+tZ/t3 qzf7d/u9E32926f+/om+Pu6vrmf7uz7t7/q0v+vT/q5P+8/WpxVWb6avHyus Hqyweq2/uj6K8xXrs/7+hL7e/P/a7y8VVl/1v/33lgqrB/v795f+Z39/SV8P p6/n+9T6uMLq4fT3SfS/N1ZYvZz8HuPR0ZdX5s03FFY/9x8m8joA "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvdv1lUUh8+3LS20pXvv9i2txRZEVIYgOKp1YBXFIkOxKCLUtlqgOEHl ddEf3HvvLfoHaIwzjjjiinvFEUfiiEaj0c/JeRr7w5Pvveeee+9Z97xvc//Q 0sEMM/tdZIqjxVzRKTaI7aJKHCPmiS6RJ7JFjjhOzBczmWdwTo0oFxXoJqzl iknIVomVYjJ6xaJErBEninzmU0UBTOGMQr5uSyV6pWK9OFWUMS9Ad7noE1li lthXtIla7vYzGrHbZcNiSNSJrWJUtIoWUS8axCYxIprEgNhIrFKsN3LPHty1 gLvbieVMYuW61dydFnuLDjGDPHjs9hKzxW7kp4t49hH3TOY5E+KdTazbsTvF PJc4ZmJDFvMCYj0e3wJyUkEuS4hTBWulyNYyLiRvheRlKuvF5KQSvRpi08BZ tcg2Mq5kLYXd5axXk5NG9OpZb2atAdkIextZ89hPQ7ed+cXEeg6x6iR+o+ik mHcRp5X45PE9XCwSC8Wx4ihy1Uaup3HGrAmyPZHvTy49j/uR692Zz2bfTnG5 6Ob+ediQjQ252DsXGz2H88ljGz63cN4CzjyZPBWhuxj9IuSes17Rw70L8dHr cIk4QExnvZfxDvwZ9+UgsQ+yg/HTdY9AfwzfehgfSvwPE4dw15GsT2ffkgnj XmxbxJ4O7DoQnRnkopPzutFxP/uIYQ5j7zleq2uIwfEWPWJcdzk6Hm/Pvfei c9DLQrYK+Umc4+PzmOeTt2Xk51yxmjN93wno5GNHnv3/foo4r5/xavb4Xs/5 Uou68LyOEv9S8uh970Kx2aIvnWKRez/nfOY+Ps2iV7r+NuY+9rfnb7WK73rG fsY6dFy2Abm/sSHu2i5OR+614DXhte1v1d92Hd8BxlXMK9k3gKyMu0vRG+IM Xx9Etg67y1gfxoYLxBno+HwEG1OMW9E9c8L6JuRr8bMM2Rbkm5k3MR/lPP9u Jf5nMW7lezbyxRZ14zVzEXqus8KiJjyn3gP8vXVg+zD2e414PXmN9JM/z91D bmMS72sQn13/Z/GLRc19JXZZvMfHxGsWb+VuPy8J3+4UU5KIxb2iMAm7bxWZ SeTY++Ql5NF7Uho706y5/GbhTdRzcinyOfiVRudzcb9FL/xSPGjRnyZr3x34 nafxXcS7QON7iJf7UZWEL1+IByx6a00Sfrr8UVGexJ23i+wkYuPx9bfq7/4V cZ9FfypNwg634TlRmUS9uv87yF03Pru/RVq/wqKPvyhesuhDFZI/Q/7eJjee lxLJn7bov0+IDyz6nfvxODa7vY8Qpyfxx+Ufi08set5b4k2L97SFGvL6qU7C brf5WfGGRR+8VvxhUV9u+05ykWbu4xvFPxY19bxoSiLH14u/LOquh70eg2Kt P2XxX8Z9GJuwPsaZV4uXLeq9WfovUAteW96Pmix66gpy8q+4yaIf/S1usOib Gdp7i0U/8jvrkrh3kr63WfSJ98XDFj3+I/GhxW/yu+I9i9+ez8SnFr8nf4rr LPro6+JKi5pM6cyr9L1MvGrxTvyN+H/hayx6/W/iV4v/ubVJ1LHX8NfiG4vf m+/Etxb/nb8XP1j06J/Ejxb/nb0WGpKoh/ok6thr2GvnHYv6aUnCJrfnP6TA 3w0= "]], Polygon[CompressedData[" 1:eJwt1HdsT1EUwPFza9RWI0TM+rMIVav2pjVCjSAIDYJQI4hRbY0YfyBmVWvv IGLvRIi99x7/2Hvv8T05549P7r3v9+57v3fGjU4ekZQSISJdkRsHkS+IjGKc gkMoyHos41TsRwTrIYzpWKH7WA9jHI4DyBNsnoEcBNaDxfYsw18MwEB8xHtU Rzd8Ryb6ojde4yWqIQnP8ARV0QmPcAdt0RFL8Qv90B9z8Mr31sM+/PN3p+Ew ivD/JjBOwx78QB+k4hPmoT664w3mIh5dsBtf0ROTsAqRPG+kWAzLMS+LGswb YB0Ksx4v9s4KzMsjlnlDHMVttEGiv+uDxybevy0Lyf6Na1CA/WPEcnQE59AM 0/EFi9ELPfDcY6Kx6Oy5yMYgz8le/PbYTcYxnEdzdMA7PPXYa82U5N0lEMe8 Fi7iseciBlewE3XQEnmD1ZjWVgrOegw1dk2RK1gNZWAovnlOUv0btqMM9zT2 ZxYKlkPN3TjkD1azWqujUTRYTDQWE7EVpbjWiLE2ziCa9SzGutiM4sFyEee5 XO3P0pxKsB5I95hVZH2CcSZmoBLrS4xV/NpGRHGtplgN/BGrwTTPoeZurf93 zeFPz4HGXntgE4oFq51Yr531/i1aQ7uw0GOnNaq9uNJjqz25BdfQSqymHnpO NZftcQ+n0ATt/N4H/pvuOS1Wk4l+zwbcRGuxGruA42jhNXIL170W9J75uOq5 15hc9hqJ8T03cN/frTnR3n4hVpva43o2fBbrPT0j7nrONFcJYr2/w+d6BuhZ s1ysdvTM0bPjrViv6hlSmt+3ee61hhZ4DDV2s3HSc6q51JpYJNZD2jva40vE zig9m/SM0LOhcrC9+oz/PDejFw== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHm411URxu8ZbVEQRVQEBCQDRGQRlBDhsgpyRSsoZRXkiqYgqIh4AQEB LyL7vikgu5krIIICgiaKIsjNzLKybDfbV8ts3mc+3+fcP+Z5z5nfWWbmzHnP fH9NRo7rP9ZKSkq+n0pKTnI84ni2K153/LFLU5cWLr9zOe5yqctPXZq5XOTy mMvFLle4/NDlPZfmLjV8jVNdDnj7epfeLn1cTnNdTZeD7HMWe9V1PMflDW/X czzX5ai3GzjWdznm7dqOZ7h819sNHc9zedvbdRzPdDns7caOjVyqvH2B45dc 3vX24y6dXMpcrqYtm/uBnV2uAbu4XAuWunwV7OryNbCby9fB7i79wR4uA8Ce Lt8Ae7l8E7zS5TpQcWniNp7v8o63T3es5fJytf20/0Did5XLUHyQ7UOq+TQM nfwYjg+aewM69Ueg07pPuPR1GeRyIzr5NAq7Ze/NoOy9BdR5fguUXeX4L7+f ZL1bXW6jPdhlNCh7x4Dy43ZQto/DVtl+J7bKrjvQjWCNvvg8lnmaM5n9tM9d zBvpMsHlJny6B5RPE0H5dC8on57C9gqXSdX8GM965aw3gBhNYU/5tN1lpcsq l2nYJ5+mg/LjflD+zQBl70xQ+8wC73Z5AJQflaD8mA3KjwdB+fE0ts9xeaia H3NBxWkeKNvng/e5LACnuiwE5cciUH4sBuXHElB+LAXlxzJQfiwH5ccKsJI4 VeLHKlB+PIPtq13WVPNjLSg/HgblxyOg/FgHyo/1oPzYAMqPR0H5sRX7ZNdG dPJpM/7Ij03olhKP2znXbcyTH+LJC12+nIIbxZfiTXGhOFJc+e0UXCneESeK c8Sbp8KF4p0t7CmbasIB4qBacJ446Ax4TtxwDhwprjkL7hQHnQtfinfOgwvF NfXhS3FQI/imN2c+Bt/Ohy/7pMx94o0z4elu+CC+KUuZQ69OmUP7pcyh6n8n Bf/q3uoOiWP6p8yh4h3leHG3Cq4suFM4oNrZr8Vu8U/Bo9cxR3YP5DetNYG1 tbe4YxA2iTOGYeNw+vJ1BH3ZdCN9+SaOGoK9I/mtH2sMxZ9yfit4c1TKvHlz yrx5C3aIV25NmR9vS5kfR6fMj2PYZyx92TqOvmy9g75svZO+7LuLvmwaT7+c eIwnpjehK2PvwSlz5QRiP4pxskO5MgVbxSGTsGkqvxV8NBv7pvHbaOZNxmfN q0iZE6enzIMFL87gt4ITZ6bMibNS5tZpKfPUQtYVV8xJmY+WpsxBy1Pmvnkp c9/8lLlvQcp8tyjld2Jiyhw6N2VuWpMyJy5OmROXpPzeKKYF961ImftWYqvW WJ0yby5Lmbu1z89dXkrBGwX36T7orokrSlPmvnUpc9/6lLlvA/ZtpC/7NtGX vZvpa+8t9GXLVvqyext92b2d/j6XHSlznFDc8EIK7pNuv8vOFFzwYgpe0L3c RV/t51LUJbofu1PUE8qXPSnetjmsvYM4PJvizVDcitpLd/H5FG95BetqzzJw J/Y8yX6DGLubvZ5mfgVr72Ff7bmXfXfiWyfs3cU+4itxby/83oe9OrcDKdfK aosvVQ8fcmydombWuFb8dpCzPURb+uKd09m/wrlr7i/oq60aUu02Lq+meDvU LqWtt+OX/Ca96mq127p8yH7a67UUb01b5qgtzv4Vv7Wlr3dB784R2pe4/Jq+ 2m+meJvapaj5j9Dujr4HubCf8/kNczTmOPHUd4fq/NdYU3OOEu/furzl0j7F t8NbjC/qcnG2vi/eZExRP1Uy7yj6eT6mncX+H6f4JvpKirdGb6XeFtXq0nek r7dSNfkPaHdk3jvM1ffI92j/h7gUMfkf+yoXVAd0xp4SC/s/w7f2jP2MtuL3 X+Lz+xTrd0jxDlZhr+qQD1LUIj9LUYu0BNVXXfL3FHmjnPlzCn5Rfv6bM9b5 NmeOapg/4Kd8VH6/zZ76zpL+cpePXE64XIZdVdim77UTtP+ZIv/a4Men1c7a LOb+g3Ea8wp9tXU//pIiPz8lVzT3fZc/4aNs+SP2/A0/WzPvr8zt4vsst7i7 hxinMV1dt8qCG/YSF8VE36HH8Uvnkzgjob6N1f6cxXl0wPfPW5z7yRa/dUD3 BfTy9ST8Vc580SK20n3EXieYr7nK/U/IH63xMXn1Cbkl/SkW56R1/sVZ6hxf pa92dx+z1oLzPiBXlA+qY3+SopZVnGvw/a5zro+d4iHVpl1A8VdrYngataw4 QPWi7BE/qX4tBcVNOkfxkGrZrrRroT+MvrC5tuWxtdErH06nPj7MXuIh3WPV xLoj4hXVxO2woSZ2vsGYomY+mzGv0+9OnOtQZ+ue1qW2PkYcerGX6uyerFeX fY+hVz7oLtezPLYe+mbEvCm21yFWBxzLLN4Z8Ydq8T7EXPzQCl0T8kR8o/83 riJ/mlDTS6c7eTn5/iE535Qz1nfKj1L8X9OcvDuFNd9D35Jc0PgW6N5Hrxg0 IB901y7gm0E535jvDdlbA5tbOk6wmP+S40CL91N5pe8TcchBx8EW7+i7+NmR ODTivuguNOQbRnexAd85VYzpDTZmvNZuyN2poq92T8d1Fu988V2t2lB80BlO 6GtxHjqL6y3sls1XOO63eK92SGfBBxtdbrCoFe5xvNcifoMsfJNfnRz3WdQF DzsOtag5ThALxXO964ZZ1B9abwNrSvcI+omO0y3u6S7H5yy4ZLd+t+AL2dgC O5s5TrW440sdl1nw4xTHphbn+4Ljixa5IP4rteDAcsfmFufex3GzBc/ucdxr wWd3a22LnBKvdLPgFsW4B3F+VPfGop6a7HifBfcoBmuIw2rHIRY12RbHrRac PdxxhAUfb3PcbsHXsr0C+x9TXC3eCdk7C5u13krWXGFxHjqLp2SXxfvzuOJk wY/POD5r8d72dtxkUWM+oXhYcO2VFv7Il0rHiy3ezsXKOwtenmSRB8qB+Y7t Ld7yuY6XWNQBS5TjFnw9zSIuiskDjvdbvNOzHVtZ3OGFjpdZvA0LHC+1eHse dGxt8ZZr3kzmzrA4e537IuW+xfukHLyQPHzIsa3Fez/HsY3F2/x/2m+d+w== "]], Polygon[CompressedData[" 1:eJwtlOePD1EUhuceu8qfIZHYoveyOtHbrhZfsKzOqlGiJHrvIYQQ3dpe2EZE REREREQEEb333nlO3vnwZJ75/WbunXvPe27dzOz06RZFUQYkQCtuZsCNEEWv oSWeDdfxV7AP7wIFeDksxhdBMn4fmuCT4RL+FPriq+ER/gn64WvgMf4F+uNr 4Qn+DQbhG+A5/gd64avgIf4BBuMb4QX+DzLwzaZvq8F1CGwxfXsi1wGwzvQt P2AovhXe4LW4ZsFwKOX+LAzDt8FbvA7XgbAennH/C+bj8yAJvwcL8IUm9z1o hk+FK0FrGIf3hhL8DDTHp8HVoDU0xifBxaA9aIpPgctBc7bAvUDX8JeQZBrT x8qBPvgoqAyaow0+C24FrWEkngnVeBnMxlPhLn4bRuBjoCpoD5LjPfG9yIXW +Ey4GbRnc/Ge8D5ojIb4BDgfVONq0x763tWO/zsGn4OeOWrKhGfhI4zHj5j8 HFSaauS1qRlnsSJ2z6R/S1U8tn+TZ/M0JMQZLY8zkBj/dsqUEc+GwQpYCQ94 NhVGmzLm2fI97Ijv9vfwfEjDd5r2Lg+64vtN2S+EHXhbB38HnfG9/k1BPXIA 72Z6tgK64wdNXgR78E6mufwdr91201hew9w4w57d70FZOWlyz0yOqYe8d74G 1bKdKRteU699e1MtPQNL8KWmXk0JyloB/A7K3GF8rGlvvMYppsx4Vu5APXyO yetDA1MNvXbeo4fwHqa1FQf1QhH8DeqJYlMPe+/6b94LJRDFPeFnRx78DDpD jpvODD8rPEMT8ROmtV6A5fgy01q8pvmmnvVe9TEKTWeKnyW+xlI8HUI8p/dW WZwN77FdXDuYau0ZaGSa0+fyM8vf3WTqRR/jP1AMv+M= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm8z1Uavve+L9JYhkayhdRMKVESxtoykaiQlkmpVNyalmnaF9FUWrUT raJIGkpFzVpEyFa51qwhSxSyRN15np7nfj7+eO57vud7vue857zP877n/hpe cUOP64sKCgq2FBYUBOy7+DMJqAD0Babi5RzgHrQ/hZ0H/B3tz2C/AO5Fezrs fGAQ2jNgFwAnhOZK4C5gGvrmAl8DJcAi4AH0z4T9ErgR7TZALeBmoB1QF6gd Gr8cGIz2LNivgNvRrg8cDjwMzEbfQuBWtNsD9YAVXmcx8D2wEdgEbAHWAeuB VcASYCmw2nYZ0DC05hpgrden79/YrvActCs910rPdz2+bQ0cFupb7DU2HjDf JlvOt9mW823wHPTlO8/LvqMw17ewW4FtRWpzvkahOfl8E9ptgTqhGDEOjMcP Xo/r/HjAHLt9Lnz/+1D/TuAPIbsXOAbto4EdaAfsL7ClwB5/tx1ohv6mQCGw y3Nz3p88H9c8NjQfvyfR+G5fkfhR6r59Hss5jvNaRbD73Ud/Cz1uv/lG3k23 H5sd2+7obwFUNwfHmYfnAs2B8gbn5p6qAZWAysAEYBhwLfA48FgoDpNhPwD6 AVdaG5+j/xzYE4FyXo9zVAFaAS2BGuY/NUQtHe91Of4FYARQNaQjaosa4ze/ tV/UHXUzzXqh5qi9M0KcYMym2N8q1gL1QZ20tp6onzbmBfXQ1toiL9tZK+Rn e+uJGqC2aoa0UMbvdebmBj8v9rsV5vcqP5dpic8l1styY601UKaltQdoic+L /Mz3DULz0IcjQuuuNrd2mxNlWtp4gJY2eb4tfl5vLfH5SMdzgzWzzXrY6Hm3 mYP7zN81fsex5MJ2z7PV43b6m11+3mRdlOlqj32lhvaYpzs99177t91jJ2LM GI9jrmNeZH58J/SusTVUah39ZN2U2l9qg89NrMX9HhfmHMelOd/Umigw18i5 31k3Ncy9SdbPCeY9NXKQdVBsrhdZS+X8vprnq2w9VDPHq5uf4zw+nCv22/eX Q7o9GTglFG/G+jzYDubiH0M5tcS8qmU+dwzVieXmTx1zm6hrbhP1zO0xPhvG hRo91HvnOg3M+avsB59PDdWDNeb24R5zNexp9vX0UC4mT9h3pPnKsfU9vtQx Z9w6hXIuufBhSMM8086OMznQJZQ3GcNefkcenQ+c5TiPteV+GLeW3kvXUA5l fC4Cevodc8INobMrNA8KHJPmjuNbwEnuOzuUs8ryWwvH9G3Hin0XAN0814VA D49rYj8LHbfWjh3P5k8hHTJWbR0vxqe9Y0T/2ji+DRwL8oFx6OhYMw9fB3xS JH508DmzfnXy2TL+7cyBRo4l48izZw7dam129pnXNs9KnHNOcxx5ll0ci6Mc b8aa8TkzFNfRsM8DvwEuDtXFQp9fV8eihc+nLFY9zT+eZXef5xUh3nNPrL+9 HPf+IR1Sg2/4rPnNUOAyr9vM8WjqeJ7j2HHN3l63lTnB9S8H+ngt+nKJ/WH8 zzUHunutFn5/qccw5swN6fW6uf2XUD06GHg/FCfGaLL3UNH974XqaCXvizmD tfRs+9zbvtLnp/0t9069XOP5+/i86P+fvR+2q9iHqp632H13eE3W4wn2lef2 jOesaFvs9rMew7WYu5gPeTcmN/8a4i/9etXjyd/bQronH+8M8ZccvCXEcd4H 7rYPd/uZNZ51nfc23tlY79k/1X33h+5zfb0H3j14V+D9gGMHhu4QvA/xe96N eC/id/ye94YBofHz/P4+j2ffAPvAvkFei99zTq4z0mfEPbIO8m7EO+Es16qZ tg+F6taDofsK27yTPBK6l9DymXf1HdYe699sj+N8zA1DQvmB8w32t8wBj4Z0 OcQ+cAztE/aHfnBdnuV3rtms1+TmUyG+bnc/x1OnT4Z0w7i/5lhz3wN9VqPM A/ZT38PMGXJrxAFcG+a+F0N3u7L3bB8SqnHULfX0tt+xnzmcNennIs0x3N++ 7rmqml8jff70cZT92eN6xlrGdV7ynMP9Pb9ljnwlpEHmidH2n3n3b6EcSY4/ 5376MMFt+vZmKJezLlADFdw31j6zf3woZ4z3uAqeb6jnGef+8t7rRH+bfhc+ D55Ldfszwefa2OPL9sp1We/+4fGH+P07npN9fMecytzMerDXvCAvqQXWJcae +bkkcY9Mnd1e4D+pfL8QtmIqBvNhy6Xi/y/YOqm5dwP/TNWBurAnpXzYQh9S tWIT0ClV9/4Le3iqlmzk3lN1aTJs7VTdmg1blOLcp7DTUxz9AvboVF6eCVuQ yovvwdZK1bOfgY9TNecT2Aap2tMCtmEqt34J2yMVr1mwhSltz+F5pmre98Ck VJ2cAFszVfMW0u9UPVkAbEid5SrY7qmasxo4L8U75ivmeeaxRbCbU3XmONgl oTrXBO2vQ/eaKmhvSeV97nW197sGtmUq1l1hu6W1DHyQivGPQJcUX+YBH6Xq +smwX5mTO4EPU3WV85WYP4zbfPNnLuy6VB5aDLsopd12sKWhGnU82h1Sbd7v WHtq+jzq+0wYh/2hWDC3sG4Vm9O871G/PLP0uZEjnc0TcmdziD/kyLchnswG RqXyZ0fYtilNvw67PnQ/2gq8m8qJxV6ritu8u1e0new2uVDBfJhiP+lbf4/p 5xiyZjOH9PP3rKvl8d2CVL650mMY8+apsz7GetoT0hQ5tS3EqyNSsWFcXoF9 IZXvz4ddE7ozPoj2fan6dCrsKal1RsO+mqon5NSx5hXjdphjR542NlfvhL01 VTsHwd6Tqr2Pwg5O5Xry6IcQl8iRHfaf+t4V0jj5dZY5Ng32l1Dt6IP2N6H7 4wi0h6ZyzZOwj6Xq6nOwT6Vq8lxqK3U/o7bGW18Hp/IRcxE1PdG6Hgb7WSh3 cR+3ey+3wN6c+j1sBsek6hzXf94+NKNWUhz9HHZOKjfTl2fsz9OwM0J1/zLq LHUPps4aWWsrYFem6s9yajZVlw5K5RTyZyzsm6k6zRj2SsXxLdhDU/dvnl89 n+EZsMtC/0tdiPYFqd/POHaMx9/FWKXuUtOBR1L3lmloD0zdW6aifUfqTsVz ejZ1VrfBfhy+L8E+kKrp5NT95hXj/7A58FBq3K+/c6bW4Pxt0G5vrb0IOzN0 txmQWvvX30jRvte84lk+kTrPkbCzQncYcvwl85x9L6f634CtkfrfhnMPT81P jr9mnpNHQ8ylx1NnwXM4He2lof9Z11o/PPMzU7mMWlhnjpKf5F1Tc481YWqq LjDmFznufamz1B23EuySVD3tD1ucujdcDXtV6nfHDaEcxPzD+vbvVI1jTXs/ Vdcuhb0k9Vsv6+eUVA29GLZ36v9S5q1lqdzF2vW/VP3i+j3tw1LYE1P3t2th r0n9ZvwRsNixvo48St25b+Tcqd+GecaX+5yrwrZK/U9zE/eUuruz/lRO1aD/ Aw8KArI= "]], Polygon[CompressedData[" 1:eJwtlnm0llMUxj/f2ZR5/CNkaNJCRcJqUJqkSLUyNaquJBf3NlJpEdJKlkpl CIUiWsYWFisqytigbnWV6l5SQpShZYrwe9Zz/vjd/ez3vN97ztln731unZLy nmXFQqEwAwJ28ufLVCj0ggXQB/86GIY+EfbBNrgazoQVjB3ANoFuyR/pBkPR M/QeuheUoWvBkeivsL2hObyH/xe2EXSF/vjvYlslz1mKvxTbGkZBOf4ybBu4 DUrwh8AI9MnwH1wQXst58C9Uw7VwruaTZbwP9jSoh94Lr6ObwhL0H9iz4TK4 AX8J9qLkOb6A5XAxXKU5GG8WjsW+omOzFjrnGB3EWHcoRc+Ew9FHhffeD+qj V4bHntE60e9gWyTHrAoq4HK4Bj6H3bzzCvb4vLf1cEXeY0PG1sFj6GdhI3yH /xK2BmxX/LVmdI/ks66EnvnMz2GsSTh23eFg9Fp4NPmbzdHHKCd0VsoBdCU8 iX4u+Ww3wZX5jAcx9g32JGgL62AXzxZiDxCvIroH3II/S3FHHx3+tr6xBVZD O52Fzoyxv7F9c0wa4K8K/3Y+HIreCE8kr2kDfBrOxZpwVvgM+uU9J3QrGIh+ BLbCGugAQ+A+xibBnTrXonN7GzydnOM3om8O52bt5Fy9FX90ztky7Q1OSX6m XBqKPzLn1Ej0cDgVfXtybo8Ia+X4ZmiPP1hxKDo3+uKX5xxpij4OBiXndAv0 CVCCHqA8RbfN+9OZ3hRes9aqNQwO15BqZ7hyGn0sPKV9KD/CMVZs52nN4RxT bumbO2XxW+YzVq5Xh98tzWf3Av4D+QyrwjmvXFcMVevXh+dWzS9EXwJ1k3+z A/11ONfnqGbCPUm9SDFoh96e16oYjcfvAKejx8FY9DgYq3MtunbvCI+phu/S 2YbHxuNPQN8d1p/xbCr6QdUU+h6eTUTfGx5TTtyPnhzOjQn4U7TXsNZvOqO7 aE/49WEaenr4WxWMz1MslLPoKaox1Rqsx5+EPxv9eFhv4NkY5UY4F7SnuTor rSH5G7PQD8PE5G/MUW2Gf6t3ZqoWwnPrnfk6y/DclTzbhV0QrtU6qkH0ZpiL vjC59xwR1upB6i014fzkHrMfGod7VWPYA4sUQ+xUGBXuweq9Y5LPqmO4tnVm qoXR4THVxMvo3Tl2qknldqNw71WOt0G3zv1K+bgY/ZvqPLkHqzd+zLOHknuk cqtTuLaVY6rNYeG7RDXaEr0415rq5038n7FnwKV6B38PLMpzqPb0G72rGnwb /Su2IXRRTPC/x9aDjvAa/o/YBtAJnsf/Nse6PfTG35F8V6qmNFftcK/UnJ+g u4bvKu3pI/QH4bttus4DXgx/S3P+Am+F1641/QRvhOfWnn5XDYbXqjtPvfOw cK2ph6pX789nqZ69Kfw/gv43UE7o7qwbvlt0h1aE7wTdBbOTe/WH4bWpZ29F bwnfldPwf4BXw7FRTGoo98N3k3JKd8Nq5XTyHfEPLA//r6D/Of6EZeG7Wv9D 6K46JDy37qw14R6v3q5vhGo3fLc1y7m5N3ktytFa4ZxVrqpm30/uqQNyTvwP PBAlGQ== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXWcl8UWxn/EOwNSgqS70rBLuCBgKyghrYQgCiiCLQJi17W7+167u7vj it3des0relFSQpT7fD3Pfnb/OHvmPfPOmTNnZp7nvL/tNHPuhDl1S6XSfP2p J90il0qTU6l0WlEqvSVZUr9UWik5SbY91XeHbEdLfpNthaSR2iVJHckbksWy /S75VO0bJMdJ3pEslW2V5AO1l0uvkXys9vWSYyXvSZbJtlryudo3Sv4hyZK1 sv0p+a/ap0pOkXwjuUVyouQ7ya2SkyRfS26WnCD5QXKb5GTJl5KbJMdLnrbP JN2gCN9/SRoWoddJdlV7tGSMZL0ibKwzKw8bSneVtHB8+GgqqSepL3m2CN/r S5pI6rqvue2MaSNp7P4N7IP5W3k+8traurGljn219Tjm7OT38NdB0tI+yj0f MW5kzTxljou+9rYx5nnbWVtH+8BvZ/tmzoZaewOfjZaOl1i7eRy+R0i2lmwj 6WVfxFjpOJizhzXxDpL0lwyQ9LSNMZvYb3dJb/sglm4pct9H0tf7wHuVsneX nK52P4+rcCzV7y6QVEm2lGzqOJhzM+tejqPSfZvb1tsxVrhvK/vp43X2dbzb Wvfzu+Ve80Db+juuMvft4FjwN9hxMOcZki0kQyXbO1b6htnOmNH2S/6G2wdr HemYiGWUNe9t57Xha4zHYZvk8ezbRM9BXI2Vy0aSs9jjFLGMl+zomIh3gmNk zFj7o29n+8DvZPsmrl2sRzm/mzqmKbaNdn4HOFczPAdxvSwZJ5ku2d1t4nlY colkb8ketk3w8y72vad9ENcsr5m49rLmvZnup28fjwMD7pdcYB/3Ss7zPHdJ zpZMk9wtOcex7SfZTTJVco/kXMe7r/3Rd5/kfK/vAcmFnv9ByUWOcapzSr4f klzseMFUcBHMaqF9aS65Qs//lFzu+ZvK1kTyL7UflVzm+VvJtkT6NclqySrJ wZL1ZZ8tPU9yiGSOZK7kUGvsj0gudW6OkMz3u8cUgeVgOhgOxoP1cAH8AE/A I3AC3PCn2mslhxXBC3ALHHOk/TEnHAEPwAfXFcEPf9QProBPwG7yOMY5givA dbAbrAInwItnisD6ogiugB/AULgCTgBL/10E9rUrgivgFrAarAd71/N8YHYq angCvIYT6G/o/cCWPUfjWuPB0pYeA96Cxc8VwRPN7Bc8Xt9zg+tN7KuF++ra 1tjztbSvap5o5b42foYDT/Q6GNfWfXDgCY6dMWBth6KGJ8rtt72fm9tW5jk7 uI9nsKyb5+tkX/ADHNmlCE6gv6vXVmYb/ipqjQczwVDwG3yv8jxgcg/77eXn av6o9Jy93beRbRWeD399PEc/z0Fffz+vkCyXHFTUcAB4tIHmX1gEV+ADLAVX X7QN/CU+8BYcBiPBx3Geb2v34Qss3K6o4YZtPD/YCyYPcP8gxzTQ7xHLYI/H Bi6O8njwc4TnBmOHeb7hft7CtqGOZYT7ziyCV4YUNdww0nOP8RzEMtbP4Aq4 MNdx7Oi+K4vAmzlFDaZP9tzg50TPN8nPw2yb4Fgmu++VIjB9mmOZYl/Mzd3e 1fNN9fNQ+xhvAYN393tg2z4eD+7v5bnB1D093yw/T7RtRlHDAbPse4b9TrG/ vT33fp4DTAU7Zztfu/pdztE825njQs8BnoFr4GU1nmJb5TZjwBYwDfyY73cP l7RLgXv0r7UfxlxTBOaCt09JX+vnq4uoy1e4VoYjwKrbi6jXuI/cee5+yQI+ 1LGAjXU95ni/yzM4CSaBi9Te9Ws90368iDmouyp8d073+WCtrOmJIr4bOH8d 9U4HySLn+3znHO48x+eBfT3XtsWSO4vgWt47z/3szSXeP3J9gf2xlxd5H+i7 2LYuKeYf6r291D7I/Q3O/zHOJ3zW2vw522u5wnvIWbjc54F8X1UEx/F8mX2z b9d779iHG2vl9SbnFsyi1uOusyc3e0/Yh1u9F+TjLueE+vZ27+MZzid3fcMU PAc/nu1c8T5n8H7nhlze7XyS73udS3J2n/NGXu9xbsnfA87hmd4/5qyruR6T PsD5e9g5ZN2PeO3syUPOPXl61LliHx70Xvzic8M5wd+T9slaOPdwNucOPuas ldkGT1JXvFnEOX+hCP6Gu8tTcCpc317tjVLwOhqehX862QYHgfNg+sZ+Hz/N nFNwHnx9qYh3trD/Mvu6w33Yqaled/xo8GF/yatFYBx70TJFeyc/v+y9uNPv Vb+zyH2z7QduWuxaijP2ptdPLcXdpabh7i5xjcW7S4uo8YhnmWuypa7J3vG7 7xbRplbjvv7svcBG30p/p39YRB32fhF+VrvO+8C+6ae9xvO8b5/UbB8VcQ/Y wx+LwAvi/baIM86d+KKouRNfFXEPuIufFXFvuBP/KWKt3KdPiriv3I/vfUbY t5+8d6xjofeUfLztXC2wvcq2t7zG34rAF+7Nr0XkfyfvAe1x3v//2SfYxXtn eW+W19qrJbbVS7EHB9i2zHZi+8V5nuex1N5riqjFaYPvcAO1cX35+d1jqVVW +p3f/XyQn1fV8reilm21/RQp5jjYtj9sR9Z6TtbJvZ9uGzX6UZInNHZWCpyY I31TirtalZV3n/vnpQ9IcdeflN4rBfY8J71/Cmx4RnrfFNjwrPR+KfDjKem9 U+AN95L72c570dH34XHpmSlwC/yr9Dc+dWIP/xbwtPQ+KTAm297F7U7+vQZb T9v5HevkFPe4awpuWM+/bTR0DOQEG7VGZ/vJ5oQm/l6CVxvYZ2ePZyw4VG6s QMAgzudMzXtainv/GL+npcDd7o6NNT0qmZECsx+W3j3F+azGMnDsEek9UvAD 9Sff6kOcv86OoZF5lrPaK8c+sUcHSvfO8b3YV3quz+tmah/hs9Jf7UN9/srV HpbirjRTe2AKjOU3whP9W9BdxJVj3e2kh6a4Rw+S+xzYd6TPFudqlxS/MzK2 kXTjHBjRVLpJjt/52kuX5ZiXdXT0Ws7it4gcHHaY2gNy3A34qYvz0MB5yMb1 9rW4oL33YpH9Vu8zY4d6Lyp8xsAM2lW2V3qve/qMsV/kuavPTxfFcnYKTu1i +xD76G4/Pd3GT5XPMd8NrLXc6+1qv0N8X1OK+9pJ/Wem4OmOap+RgtePlt5K z+vU3l7tsSnwir0a7f3qoP7TU9QTf++P92iI9I6eaxPpT1Pg/ALpXinqmyrp 11Jg6S3S/VNg/MbSV6fg4vncCd+PPtJvp8DYvtIfpOCFGYrh2BS16gDpUSnq lt2kW+XA2RfUnpCitrpS+gTPdSf3NUWt00/6qxS8c3eK88fZmyIfg1PULFdJ T3X7a+nPU/DVh9LvpuC5SdLNc/DHNWof59gGSY/xOXld+uUU3Hur9PEpasTP pD9KwXnvSL+Rglt6+NyBS0dKb55jD+epvUkOPnjNGEKd0DZFrcm3FvVFufeL 76+2trd2+8AiMJc6DH4Bi+u5jV84A17gPoD7B3uepp6Lc/RXEWeJeopaixq1 c457xZ0C+9f5nlKj1UmBu9hKKewdfD65O8faD/tYHSvYCG9SYy1wzNRJ1TzZ yjGDC9Q91Xzb0meStbfwehfaD+f5CvfNdd6a+x0wltwlr6vMOSSuDR0b54Y2 /W0cJ2PxRdxwKLY2PsNbKyfb5Fh/N+lzU9TEp6bAcTB8bA7ugXfO48zkqHFH 5+A2eO0v55Sc42NUDj/nqD0iR40+PAfXwrPgxw45MGRkDk6FT4fl4EJ48NoU d4DzPyQHl8Aj76W4e9w7sGG7HPgwKAdnwBfnc99z1Ojb5+AbuAZcGZwDW8CJ gTmw4h9qv5Tiu3PbHJwEH42TnpTjXO2Ug+Ph9x1S9P193mTPOWq18ZxH53xi invOHa9U/wUpviV6qH1him+JnmpflOL7YUSK8Yzl7r7v+3uD9PUpzuk06VNS cAT39VXf2Z2lb0vxbQeWgF9//6Yo/aLve/cc+8fecac/8b1uk8MvPm+XHpni mxsMuM44cLj0zSl+F+mdAiOwg4UX+ywdIn15ivNbkWMPyP993LkU3zE/SS9M UeOSj3E5cgJOT/e9IB8758gJud/Y+f9F9p9T/M9trfSfKermRdK/pqin13H3 U/zfbLH0byn+z3aJ9NQc32ETc9Rt1GxrpFen+H9aHdnr5qjdW0u3zVGjdc1x jjnDDdVukON/bl+k4BJ4ZEvZjjLufCP9bYpvA/D4yxSYXF/v1Mvxf7wfUnAD d5azMCHHeSDG4SnifDMFJ8FHYDy4D85/nIJv4JrxOWpN6kxwHe5hr19JwVtw 1lLpZSm+Q8Dvt1JgOPw5JQXmTNO46ZJmKfjnxxRYgu2gFPbvJd+l+H/mSuZP 8T2zQnp5iv89/h+yz2Pq "]], Polygon[CompressedData[" 1:eJwtlnnQl1MUx3+9vfdce/ZkxpJ9KSItKku92hPeIjWUssYo66CsbTO2LO1F i0RJKdkZYyJTDCGJUEoLlVYt3hSf73yfPz5zv+c59/fc+5x7zrm/2r36VvYp K5VKQ6Ec6uRS6UwYlUql0fBnlEpr4SH0j1CJ7woYgX4HfsfXACahl8DF6Fnw KboW3I4eAe+hazDugd3wGPZvcAzvGow9Hb0Zvkcvhm/Ru9hQX/TZzNmCvVV7 wF4S9i3CboevLTyHfjN5L3+E96o9XYVveLF+GeP58G947SkwGT0AXkN/AIn5 +8Jq9EBYh68hvIT+CS7BVwFD0W/ASr0LHkT/oD2gZ8M89OdQH70i7JsIo9Dd +f2hjGOx32KcA/PRC+BX9C/wD9+3GHsQuivzD2B8InmtVeFYa82u2hu8j14P FzL3AngS/br2iG8mzE0+k2Xo5eF3V7HGgZqPPRh7LUxFT4OP0P11nvgvgqfQ M6AFujk8jZ4JVzP3cOx16LpwLfaR2BvRlylm2EvDZ6VvaoWvJTyDPUsxwtc5 vNZ4WIj+BhaidzK/A3Pbw/PYc/SO4gx1dsthL7oJvIJeAdWZ2xT7VeUmtMFu Dc+iZ8Pf+BrDy4o17IOvGfbU5DNXbv4XfpdydAe6KrzWo9CZ+Z1gJPpd2IJv e/hdjyTXyvpwrqhmhqG7Mf8gxjHYmxgbwWT0z1oD3UU5xzgEewPj5rDvYViE /i4cC9VEibnl2d82APbTu7PPbhB0RF8Kw5RbMFbxwt6LjuLbd8Ky5Bj0RNfO PkvldC/sE7JzW2d0PfaJ2WelGPbAPi47t5QT3bGPxd6UnHO3YJ+G/XZyj7gO +/js3FHO3Ip9Rnbs1GNuxj41e6/D4Ubsk7NrWWfeGvua7N6hGu6BvquIZU3G m+CU7NzQN6u22vDstuQaU2zVk9SLFOMb4KTsXFDPUG1V8KwiucZ0Vq0Yeyef 2bnY9ypm2NuTe9Ed2NuSe5JyZ3+erUnOoSbo/jwrKY8UY8aRUB0+1BrZZ6az 0m9UO6ph1a5qSL2jG2xI7iFHqN7CtaVnvdGnZ/de5eA56NE8Ky/2pFq/Uj0w uebr4j8Lvkz+prnhnqheqGeHqL7RNZJ/0wD7fvVo1Ro0ys6hKJ6dhz0GnYqY tAz3cPVu5UBjdL/i2/fAJHRTnlUrelQz9GEwLfnZxnDOK9eXJvfav8JaPXdX uAZVe8pZ1c5W9cjkGvoa/ZXmlLtnfKHv0rPkZ9vCNara1G/aoceFe/Fu/A+E 96y9qkbKsmtMtbUS7gznXM0ip+4pckK5sAPuC8dMsaqCidgTwr11AvYU9N3h Xj8O2qLrhH3qsepd1bLXUg/riP0CPJ6ck4p1w+x3K+YvwniNykfWaI+eDh/L nxzbLkUvUYx19/Ypck/1swa9Ovzt+k3OvvN0161K7p2RrdVD52F3gn7Jax6s Wsxe6xNYgG9+eC+KeQf0jLBPOaXcrJ8dK+Voi/Cdq7tW36jaqJd9t6tGjkbX yr47dCcODN+pukt1R18uX3avUI8ZEr5DdXfqP0Ql+jPFMHnPR+nssu9O3Un/ A0uSRfI= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0TVOBlEUgNHB3aEgSPJDaClYCmEFLAA6doEEd+dHWtx7aAnUQHB3lzOB 4uS7yeRm3puJ1NZX18UEQdBAJeGcQAoZ5FBAISVEqKCKFrItTOo+ReZiNsI9 ndKDcM9cyqY5V6f1kDxzPjPmHfbYJco262R5PhGeRcc1U9c0Xcc0VUc1TVfD c+uIJumwJuuKJuqQxutgeEdd1jgdCO+t/RqrS8Hfh+iTb3r5YZEvevigm08W eKeLVzp5Y54XOniinWfm2KKNWVop974yms0PPHLLPXc0ccU151xyQSOnnHHE CcfcUPP/T38ByJBAvQ== "]], Line[{220, 213, 193, 278, 172, 277, 173, 279, 196, 281, 175, 280, 176, 228, 282, 178, 209, 210, 145, 207, 288, 197, 287, 198, 289, 201, 218, 177, 217, 223, 224, 206, 208, 195, 205, 174, 204, 194, 222, 221, 211, 171, 216, 192, 200, 199, 219, 220}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{293, 292, 296, 640, 631, 632, 630, 634, 633, 549, 636, 637, 635, 639, 638, 550, 642, 643, 641, 645, 644, 551, 611, 676, 583, 629, 555, 627, 554, 628, 548, 295, 294, 293}], Line[CompressedData[" 1:eJwl0ltTzAEABfB/fRM9ZSaXKMotIrMhl1UshWqUrbSLJ5+AJPfStvduu6uL Ukm6kG/Wz/TwmzPn9cw50B0Px8qCIEhTUR4E9Uq9HOULL6jjM3fYZovnnOQT bWzym2ec4COtbPCLOLV84Dbr/CRGDe8Js8YqgxznHbdY4QdPOcYIN1lmiQGq ecsNvrNIP0cZ5joLzNPHEd7QwhzfiHKYIa5RosgTDvGaqxSYpZcqXhGik0dc 4S/NPKaSHU7RRYRd7tLDQf5wmm7u8497fOUMY5xlnHYmOEeCBpJ0kOY8KS6Q 4QE5GslykTwPmeISkzQxzeX/m/vCBElSpMmQJUeeSaaYZoZZChQpkWCIl0SJ ECrb/9oeLO5MhQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl813McwPHvjpJaIWsl3blCKUcqpQMxQkZItbQi50blDN25FaHkKDmK cjaKtbX7dIWhdmclZyhHkjw/j/547vV5v3/bb7/f9/fduqZlpKTHRFGU7Etm XBTlx0bRMj0sPoouo8F5qA7jG+cPGeDcmj70Jtdumt7GrUxlChvtM/QWbiKd m8mxv0FvZDLXcx3Z9tfotaQxiYlssB+nqVzFWMaQZX+FXskotpov1291tB7O 1TSax+s2naBteJXt5lf0O12pSaxmh/l1/V7XaFve4kfzm/qTvq1HkMlO81r9 Vd/T9qzjN/P7+ruu1yPDe+FPc5b+pdnaKVwr/jbn6B7N1S7k8685T/dpgXbl NPabB+mZnEEcH/MRI4mlgqOpo5aLiaGco6ihmouIKOMLz9uMBA4lkSRSw+zx fhzCCeGa8LV9PS3DtaEVLTg+XEMqPVZHY/jecB9xKZtJ4Ae+8vjp4TMMn1+Y ac6XHByegx5soimf0oTPOJaBDGEwvTiJY/iEeC6hngaO43MOIiW8X5qFzz38 Pq+jr3bjF7pzISMopST8rO+p5T8KzcUUsdfcOdxP4XU619DT+R/dHl6rnqod +JmOXMD5/BH+tsL70mp28YF5t56iJ7OFKt4Nr83+nfA82k63hffqnKzncW64 ruY3wj2hVQx3PofXWBXuE7stnO18FvcwPdxzdps50TmR/uSZ79A7uZ27uYsC +/t0Bvcyi5kU2s/RucxmPvPCdbJ/QB/kfh7moXAN7R/Vx3iEhSwI19v+CV3E 4zzFk+GzsF+sS3iapTxDmf1z+jzPsowXKLd/UVewnJd5iQr7Sv/zKiinjFJK KKaIQgpiD/x//B97Y71q "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1264, 1263, 1436, 1579, 1732, 1618, 1731, 1619, 1733, 1660, 1888, 1661, 1694, 1693, 1581, 1736, 1737, 1735, 1739, 1738, 1582, 1741, 1742, 1740, 1744, 1743, 1583, 1746, 1747, 1745, 1749, 1748, 1584, 1751, 1752, 1750, 1754, 1753, 1585, 1756, 1757, 1755, 1759, 1758, 1586, 1695, 1696, 1663, 1703, 1580, 1609, 1705, 1704, 1620, 1734, 1662, 1438, 1268, 1267, 1266, 1265, 1264}], Line[CompressedData[" 1:eJwl00dPlFEAhtEPZMCKXbELdmVnwQbiCCqIo2IBxcYoiproX7Bhwe7KRDdK 4sKOvWH5G67svWPv58bFyfPeuyDMnUx2ckP5+pQoiu6RGYuiNOrIT4+idhnu aE1b2jDRfUttRYwM0pngvoWmEZFKCuPd/+EvP/nNL8bxnR984RtfGcsnPvOB Zj6Sxzve85q3vGEML3nFM17wnNE84jH3ecgDRnKcjRymlFE84SknOMkMCmjv M3TglH2aMibR0d18PcNZzlFIhftNuoBOdoV2Du8W3oijzsdYSBfnSp3JZLo6 L9JGzrOFanebtYE4lc5VeoQEU8LfcrdVF9PdzqIbS5xnUUQP555csC+yjaRz nfbRYu2tvejLUudL5NsFbLf76TK9HN7ALmSH3V+X65XwOew4O+1srdar4f+0 i6i3czSp1yi2p7LLHqAr9DrT7OnstgfqSr1BiV3KHnuQ1ujN8H3ZZey1B+sq bQpvayfYZw/R1XorvIs9m/32UK3V28yxyzlgD9M1eoe59jwO2sN1rd5lhJ3L OvuQ300tVSSIk0cuOWTF/v/G/gHH2mPD "]], Line[{1435, 1390, 1394, 1398, 1399, 1400, 1401, 1536, 1659, 1850, 1658, 1848, 1657, 1849, 1690, 1847, 1656, 1845, 1655, 1846, 1689, 1844, 1653, 1842, 1652, 1843, 1688, 1841, 1648, 1839, 1647, 1840, 1686, 1700, 1646, 1685, 1645, 1885, 1884, 1607, 1883, 1684, 1878, 1730, 1838, 1837, 1877, 1616, 1606, 1882, 1683, 1644, 1650, 1887, 1649, 1617, 1608, 1886, 1687, 1651, 1701, 1654, 1435}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd0Qk0lWkDB3DJiDsVjaiQpkKrCcWQ8o82WwsNUypK2cleJhQtluxRSqpR ZBlKqWxpMZYon7zXkvVaLve+L973qoRI3/t9zznPec7vPMv5n/+z3MHLylFc TEzsNTv/t/7Hv2dTw1kaDuM2q47Ef0X8ZGnEyAUakYcPT8x1/YrLPz5LfMuj 0ZxomyeTOYa1mS2ro5to6KwUbMpnviAUUj4PJ2lEx4Tl6u/+gvUaGwlvZQbq Sc67THM/Y9G53JruLQx2isvXZyz6jOaGvkTpgwz2V2f3CG59wq3Z7nxHHwbK 9wONv6p/QpMFX2w6koGKGm+dQfEoVMYfj3PvMPCZihrV3jeKsXrf/LEnDMQd nt5zGRKhdqKE51LFwEwlY9ovRoQCxexHiY0M5Mqza93MRfj37bKHA50MFh+L 6IqaK8Ja46NxzgIG5DW1Ha53Gbwu4U0vGWXzVhmqpq9hkLJx5u6PSQYbw9f/ fKWIxhO95K1OUwxeBSs8ZjJoTK+qMauZZrDPPo32vEpjRimrbsUMgyy1dwkS oTTez+B14A8GjE+IY6EnjTD98IxU1mZXQut57jQeWTw4+4L1YJvQd64bDWex dONu1vFlOdb6LqyV5FcyrM+9sGvZ50xD7P9DBKf/DxoGY6s9pFh/VKv6FOxI gzs3tkWWtYtjQFzSSRraUe+ylrMWLQrgv3agIUV89dFmvZ2fd4Y+RiPIXEZn O2sTbVkTZXsaugl79pGs5bSqLn+2oPHv6b6smFkifJtM8u3bTMOmzmqbhrgI Ywoe3cLVNEoiVBXfsW54knJTchGNq23XlUMlRWihb+cbPxiBYdW63CppEXRN qESO/ggOlY9a3mZ737OhtFS7YRg5qjf/lpIRodr2n7irLsNo4yT/Kr2AzVPq v0nip2FYcIr2mcixeRMj5yv6D4HeW3M8baEIwvGrIz4kBaONZQkceRHCQv8w eHCSwnZnjswNdr9+vnyr7QCJ8XpCyoy9P6ctgTJwJ2F0+VSGGvt+6pnEWd/H hHgl+V3rA5tHTlRz87KtEP+mT1V8ZvMP8e57WNQIUGoaJrmF7d833p4pNRDA YulW5ZIRBnXPo1rNigZhKl/b8Vcbgz81Gfqi/iD+8id1blYwkGrYpv/tzQBG ggq/aOUwOGBbcMxi/wAOOvtGMOcZvLx9NT37KR9b5vC5XZasq0esK1by8X7b Bq09yxjYWEQw1Wn9OGLR2REjpPHMV8/9u0o//NT666l8GsmlxTsqcvrgP6/k WqEXDfX9YWsvbemDh7ivhvZvNJaX803ftPTiWPGVNYGtI1gwXj4ae6wXzMud f0cGj2ADR2FHwZcetJ9otx9eOgL/xWs7vK/2QHxB8T/qL4ZxvjU8ar1+D5w3 viaf/jkMsnV+zL0PPMQYCO3mjw7hc83TQ0WGPOzKrpi6HzkEcluyIKesG0oG ++friA1h04Shosuqbkxrec06cpoC+fbSvvrsLsgczN7fPkQi5u1sTSfDLmxQ Lk6yP06iTXlhL3+wEzJLXHlRrUIY7drmr5TeiY0ryiwH9wox23Gewbh7Jxpm 5r8ZZf/FSw5vg3d1InpwInFikQBGC2nF4+s60Vc352yCxyAiLcnG46s7USfb 9silegDMzYSSZwadMDzle4+jPoDNDsZVhSc6cWYzRXZF85HXD4V3dzohUSu9 bP1EP0a5sVuDhzrx6OmOCFX3ftgl7c04YNIF4TOmwSCf7fk/bV37B7uwPHNZ h9r3XsStjvy49043stwMbTNte8EN8wrW9eCh74z4LPOqHrgT4qaTaj2YUAwO vLClB0undDVL03pQmaJQsPk8D3ZfxoPtF/ficWB5evGtbmykDxVMXe9F2ksm cOR9F/K0nuWUKfTh5IrJM0YLuqCreEVfdK0PG1uTV//q3IkV1/99pyDXjwXn DvF+vO9A1ezBXT0x/dB+M2PjbNSBIC/3CB1xPqIj+nNHK9px9FqNtr4vH5Fb LOxUdduh0FV+SXaMj/K3vFNWJW2oKLt0lvYcQKFn7SV3szaYp5wrCeocwHnp M2usxj/C9NHZlmLNQShd5Mvn/PMRW0P/iZ4OGcSJO8lEitNHOB1ZqRdXOYh0 bePYo6s+YsqkUaVWQgAVJTetfSOt6Erj5MpDgLIO6+DmolbMXzJd1e8nQL6V 1y/u4a24xzm768F9AVwfeN0w3tOK+9ujtfa2CTC2dr/KnCWtSJLOkgiXEiIu Vs5qHtmCRSZ9y5W0hdgQete58kULLigqWdXaCNG/M03xSVILqoNnm+ifEcJd 32yTl2cLVOUVAsSShRgvko/OMG1BYZFVRXq+EC/9tdpnrWrBuwGF8K1VQvgJ OHqeki04tI5Hn2gXQr4x7XueoBl7XArdvEeE6KB8jiTUNUNi8Xh0wYwQbw7c 7x552IzJJcZ8x/kktmhMrrqX3IxyO25xjTIJCVunkbigZuwLeXhFYi2J5p2u 7b+fbMYnhWfTn3VIODSqeXfsacbTh5nyC4xIWMDGz1mvGcMh74MCzEk4aSr3 vlvZjJbD1R261iS4txOufZNpxgghFetsR8Lqxc5ZgukmbC71XLrImcTnsSTm +WATXI6/TJztQ+JTep1lUGMTSNnG04fOkgiOrfdSLW/Coq7hDWsukqhUc92R kdOENL9tLqHRJPx+vfg7fb0J84ROqW5JJM7p/xj4eqkJXwjx4NFUEou3SjZ6 eDZhluSu6GcZJB5e3ctZ9mcTBspGc3n5JPJi/CfGjZrw4afdz849JzGbNNPg a7Dnpa4r331JQsupWYZQZN9P/+Uv82oSJ38EpD6WasIL0cWhmHoSP9d7q/qP c8FXd/NwbyKRglO6cwVcZMoG/ES3k1g1V9PZs5WLeP7FKcVeEvHWd60sq7jw 2TOsvlVIIplfLtj6lIt5hFKFiCbx19w/QpZncBHXmMAxHGP/o26iZyiZi6nd A27rp0ikuTVuiAvn4rrr3ykVYhT8ltS63Arkov+QZsI6SQoLC3QeebtzIW1+ sWz7zxRs1gmsZ9lzIekxeUNWlkLjk/5MowNczGCNZspCCgc5MjXqJlyclshT 6VxM4Yqsa3ufHhdnbkurFKlQCLCbOd24ls3X06m4RJXC0VefDD8u5UI79/lP 89ZQkKZDvHkLuKh2LMhI06Aw4eif0ijJRaHy+6IPWhS8X2WFaH4jkFtWU3lL l0LqH7uflNMEmnvU6NHNFJYuzVQ6zCfAuZBjwDOkkBGk/GmknYC+TMWeU8YU Zhf6HrAjCDReM4jP3klBWXmvl2UtgdQQ01ZZUwqVhXmB+m8IeAVG85QsKLwM bwibKmHPY93Spr0UvnTE1ZwvJLCq5sJrY0sK1i/kdj/OJxCtbd3ndYDCL0fD 3nc9IPA8Sqg9Y01hwP4Wf/xvAjpVmT+0D1JwG54J675F4GyVtUDRlsIJw0rP gBQCwqRjWa8Ps7ZUD85IIpD9yMxM4yjb147U9aNXCegW7PzNm/Wnlnvjxqyf zSz47THrsXMeJTcTCZS94uwXsU5LjrAYSyBwl+JkathRoG1sY61ZPz0dstmV dWj280Ol8QRKuVLK91mvHarYORlHIElvUmmItY/uTT2wvlZcE6RpT0HUs0UU HUvAPOrkAT/WPnd61/NiCEh4jpUWsnb9oPxYj7XOtaraUdZBoXMUk6MJhNmc XLHhGNuH/lTG2BUC9+pOarqxVitpUzjK+vsRMc591rcdmnXrotj8Ry9VtrG+ nvjk9m+sU7mt5XLHKby4YnviZiSBP6ZNbcxZ/2oTuIPDeih0SVYo6/iUy7fr wwko/V594yvrbr8bVQ8vExDrC3A/7kBhlBE/oc66QdVhUzLrsFLRq4xLBCq+ fQ+sZP1fS8s1eQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Qk01csDB3ApL4Sip1IpdYrSZktK+XoV2qiQok2WiJKUyl6WREK2Qn9F QtFTEilJKsUry++6stzItf9wXS5+t8T9z3tzzpw5nzMz3zMzZ+b3W2J31txR XExMrIjUf1sFpXL2j5UMLpouXH0kagyiE2M2WusZZEalpDnqjsHs2nXOkr0M yn5wdqq4jgLcnHw7JwbqQ2svVuaMQDW0fEjox2CP9ZoD8r8ECDv8OD0zmoHp 3QWn5joIsFJjn9uMNAZeBT8uP2EPw3eyV0wtj4FhwdseHbNhdI15S0+UMgDn QrvK1yGcS1qlF13FwEFxRCDYPwTDUP2N7U0MxunX/C0cPhYYynR/4zI4skgi WyOCjyudH3TW0WS9D9O9ww34OFXkO5/mMzik1PvRpmsQHQsFMVIMg8ki/2nj FoNoaqpPjvzNYGXyljfvPvKgXh227egEgweWqjv6c3mYE3Zr3YpJMt/lp9W6 JB6UC2jbQeJSF2FxeDAPOlG3GvJEDDjGcmaTbjzwIhZplBO7jvHGv53mwa1t mX8jccU7re5nLjx8+ppe1k9841rVzAhnHmS0guzGiNWnntP2cuJB7L8ixMn/ Cg/3r7xLlCLWeOSbZOHIQ+aSJZqzieeu7fhu6MBDXvLCw6rERlbmQQvseLDK iPbZSDyy9qfj2HEeagL9YvYQr0/9GlJ7lIdcedpVaooQDZ9SW8/sIPln026W EetqVwwu0eZByuKh8JK4EE+7Wm8MKPMwukzwZOVUId4f/xRWI8kD/1D10pDp QrwKWqPe7z2AOkODzzozhGh22RWrMNQPDv9s90Y5Ml67bY+iaz8C6sOq42cJ Qbv/Mfy5pw+6RaPsnQpCfHt/dmKaSx82raT3ps4WosTX7k3xUxpzU1QGrxBr hhjvLZrsxbn84EcD8kKEZa1eftOiF/FHTyb3k3x+dcOTur97oGI+JBkkLUQ3 97zy+lk9sOHUHyuYJoTVrWqvw5e6cV/lXITDLwbONefeied0wf7p1YCAAQba dzKWhtCdODBlyb65LQws7z0yMtDqhNNWnSebvzDo7NEWJgV2IIWRaRB7yeC5 oqh5TnM7wspzUzxTGbz1mOO6Sb8d/lvuWT65zuDeBhWTxDQuTurdrlU/wWBq 9VnzKKoNrSyGa0fej3fK7tqCmW04NZi+7JYEA6VsO/4y6x+I1ONEDdeOoVK+ 1GzWkVZsXu674mPSGLa6VK7fsaAFRroBGSa2Y+jbIRN3l8fBBcVE5aKlY5g5 vbu4vq4ZVf5XSoKoUVRcjDgsH92EDNmts9z9R2FgrzrnhUMjBhr3sgSqpP/o 1OuifQ0ot3fTDPwygt9P20YsLb7h8863gvCzI/hTTNJG36UeN04coLxmjUCq WTbBKo6NCxrnW1/kChBjV3ncsaYOYuZf27frCHDA9Nnq6iEWTlqZ+3oWDsOO aYt+uIqF03l+DoMbh2EtUdIp8qGw3Do4enfxEDb32xota6vFAbNHS/7EEDbs 1+0Msq5FcZxK2ocyPrRVaHZhew2cRG+8K034kOYNSvj712CxexPbdscgLjZ8 +c6TrYGUzoyJcXIPP+nKFXu6VWOeQWrYY6of/PIEdiq/CgLBLnXXjD74abma d6VUobsgY5comEZCw2OB9cUqVImVMsNuvbDYFKEZe6EKqtddjdIdeqB5NeV5 wu0qyIxzRf+odSOJU5XCjFRhVvZ2Sc5EJ9SmzlaYF1qNC5/n7y3s6sBv3WUm 01RroLn8nq8stx2+EU/VlqbWoCQ9+/bJQS6K7CuytuvUoiV1ZepqOS4+SP5P urGlFi4vX7k839KG2n5u6I77FD60him1OPwAb8aNj8sSWOjPiWH1GLSiaHcE 1zCzDqHdT/3jG75j73tVtVkUG/v1jjrbxXHwdKM/N/HPb5gwwCn+2WYEDkaP uJ5uQMR7P4Me5yay710rEuobMW+RyFTMrxF/65yJy93bDBPvC0ZTHjfgx65C 9y4WB180mmsrBr6BOXToo9LxFvArxG7vN/6G3Qeb9Mb7W/G97WhA9rN65DEb lJOLf8DT0Mtj+tp6xE15dP1LQBumR7K9nxexMSR6IbfIgAvx7WkJW3exsaHv 5jS3P9pxZv19J8veOiz1/57G/9CO93m5CRrxdVAy629dcbkDnnPDB3bsqYMa u11DenEn1FMywzfIEscpGo++7ETv25kPiutZGJ2c/uxvoy5oVWSPvM5kYQsG bPZ/7EJZrrfUpgAWovZ9yTPQ64acv63uJQsWUvyb/mIXdaO+MOvaiXUsnBFL u7V8ZQ/aD/bHZsqzsPWfxkWToT04J2fTu/YnBXu9eemGDT0QSE9Ok+mkYOpd HlW+oBfhg7IbfOooBOXnh5tZ9iJUauGRpnIK5tbb/M4F9cLj9POzD15TKJXp wf8e9+KKsbJPRx6FQVHx/iMVvZg/Z7d2cjaFsd2hs+Xbe/FSe2Ag9CGFVcwQ P0TYi+c5NWWe5B48eHT+rrM0jXlZEh/07lI4zDulZqpEI5l70j/nDgUTuZiF z5bTWC3LKcyLp/DOvMZzch2NHpkQO61Y8s5eBx+I1KMRryrp+iaagqggoZtt SOMv3ZeBRZEUZj/xmPQxoXE5P0F/1k0KfR37f1J7aNQp3niYe4OC2qWY9cr7 adQsyHYOC6eQIKyRj7akUZEgKRsTRkGx7aqL1UEap4sOOpVep7Cu7VFqjDWN X859S2WJRcNfjGwPk7x0bXuPUApN16ROsY/QkOPoX+67Rs73t1TB1GM0QlJ2 5joSV31Vzp9znOy3RWTKD6HQrajQzSd+3mEnDCXeEPTPSIotjY4PSxTUiVc6 luWon6CRt+V8bF0wBf9XRY+Tie2j7naHEGetdmYzxO0WaqzNxJfsDEu32dHI P2y8vTOIgm6s56FY4rTGku+xxD7H7p9nEf8UT/cyIX7bxGhL2tMYd+qAKJBC uMeROB1iryuD0a+IW8Q/FNkQC3IPjV4mvuiarulLzEXjdg3i4nUH7qYQtznm 1dFXKYgNmPi8IVaYsscqi1hnMzuzkVgomR7hTBwfrfxaQJxt4G6yitiv4YaK jAMN27tWpe1XKDxLTZq2glinzCvoHnGN09X1W4m51dePHyPeJDdlxIZYK9BH XYV4QWCiiwexlbjZl6YACmZnRj0iiPMc5KQTifkZ12Y8JK5c4fzMhvi0Zsm+ YuLgW6mxi4mrnCutKeKt7rty2/wpbOYPnewlvi0It8gkXpw3sVhEPCN/4x53 YrdA+aTZjjQaWjL0J/xInv4nZwNi41iHnDvEtEoGy564bt8tliFxpGlIYDDx i6SHc0d8yXdP4Q/JVOJFWd3lpcRz7Y2V8onjJuNdY4izDAQHPxK3vnhww5m4 ZK3hQB3xzMT4oq3ET19t/s0lXlVv/kyHeHqdmXYPcapW5AY1YoXIOboD/443 qjSeT7ymRCgxTOzVdOfSNGLthTOW/iK+y4lfwyf/qfnVx55MOUnjlHOC6Xfi BpW5eZLEosjxv/KIG29FPp9HHCZeGx5JHDWweHw5cThbNOBOXLcxdkKD2OC9 x4lDxLKc2Ys2Edd+1mrT/zd/W3ThdmLh1UJNVeLzicH/7CG2yJH4OZ9YQi/z 1z7imXs94+SJjVcpeloS/x8AvwNE "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFk3k01P0Xxy0tKo/lSWXXZmt/LAnpndKUJWtRyZJEUlRalLIVKSRjZuxC o4yl7LuMnVCWyPIopBQz85WsSX7z/PX7nHPPPe9zP/d9Xufez2eDg7v5OT4e Hp4+bvyX7fg4E4uLiziH5WGMVa7gqxU/Py25iKY3q/yXL5zHuqhvi4mnFsBn v+AV4n8OfEejgy7pzcPx4xHvFmUHWMv7rG+ymIPNtcvhWnZ2+FEy1KYeOAN3 NQ/+oDRr5H4wLnt8Ywo+uFBUZXoCgs02zT8oPxH0WrS3d/o4Qmr9hOUu/IBQ eJb+kkUL5MYxzVTnOPBhnnKXGDSHYLX2762vRyERszQ/8Iw5KgusFST+GYHn whGDy5nm0D1Gf/hWehh7Xo26B6RbICOBz9r4yiAEnAoebbY9jn02UetddT/i wezO1C3dVvD9MqbK1umF7Hvq7R17rVHmvfB6T3UXUnwD9w+X2+GatwVduaID GTtEe1PbHZAed9VC07cNfAcC/u1Y6oQJbdYDm2XvkP7HuE5yyQXUDUfvE/Nr gpmy3FT/Hzd8n3nSZ3y2AevTB0IOx1xF9UrqScOkWlwUzTjEd/sGckdpVkm7 qvHHkFR6yNQLjg6XByQFKnEzMOBreaYvKCNG/c6FFTCV/fX35m5/tGqmeN56 WA6ePfcp6uYBqNruOu1xrxSlExYG3opBmBz1rqElF8Nj4/qSbeeCEZfIjLEY LkRjwlEySTIM3VVt/QakAlBtKgN/podjqlnZ22skD61TgU3F/RFQTpAm8Sfm ooVqNGx/goa1DSkF7m45YDk/79ooH40XJgJ0J7NsWPWfbj1iHIcsjmki/XAW SGvLTHU/PcXb7uQtL5VfYXZk+9fdJ5Owde2CHLMzE3p6P0eFPicjaKqzvYic gahao2s9YXSk5L462WeXDg2jo4XXHZ7DuG8q0WNvGmqW/Ir8YZMKa+2lErzr 0nBlltp1gp6KJeqXfFp/MGAk4tjzYCwVWjlFVwabGcibfZToq8rAcNWtx6qp DHDqS7cfusPAsnTRTSF0BgTE5c0j7zHwqs3F5ksiA6oVPwPGHjEwdclFB/EM FJ3ObNQlM5DO02p5MZbBnRfVnU1lICb6v/P/rMH6R6ghkoGx8YcrDnH7JDJ/ pU9z7936x3phnOv7Ie6L5jGuz8z0J5Y+l+OU7M2LOY8ZODHiyqK/YoD8lHZQ NJiB7cfv/+YtZGDrQ+b4NycGPlv/iV3LmwaFhn+9eA4yoPRo8+S8YRomPI4H Wskx8FUzUjQvMg1v0+uz2fOpmJmqWqY7nAb3zCCelPYXULsStW0hMRNCYclv OCXPsfhka98BsyzUk2qrOLkpuF75oMd8JhuWLvOTHWV0LLF8fDq/NhevD53c 1f3+Gayf/U4PrciHspbhrVUbn2F+QTKS5FOIQfFAyxueyfD1MLDk2BWjtMWx uuRDEtwmnUKNz5Yitqvb2RtJWCsk4Lc9uBzDXf12F14lYupyU8iRngoc2r81 NV8iESaHz+V8O1KJxljboR2STzG6okXB83UVVCqJc6Z/J8Bdan6DoXENOnXL gwSk4jES2rNl71wt/Hw6NkSqxuHGetG5xYp6fLwZlHPAOhb54ZN3ZZ41Ilw6 NOaCfgx488b3PXVpBul8sYeAWTRSZeW7Dji9w+bUvfKXL0eh8ZzCxZVGbUju Gm750xQJA+/c/bdetKPm+z80cfVIKNqffhL/93u05tz7OZ1Gg2xkR599SCfe Mpas6d1Gw1+y0k9dVn/A5qXjHQIlVNzenpcl87wbdmISua1mVMTNiq9+caAX dD4+TZ1xCkQFhVKCp/uwm6NNiY+igDgk3HQiqx/qZjZTugYURDPp5h6XPkE8 zDzCfwkFYlcP0qnUAdwRXGBW1EXAaPXWQ04egyCEO+fPPInAgJRw9QfjISwk BY332EcgKSssla7wGaZ04a+2ChGoHlC8b3JqGJri1R7EDBk7NnyVMPD9ApHC 7xboJYMU8S3x95mvULRzTX9fRUbL3JTpsMYIKMuvKotmk+FbQHbV4P0GE2KT tiOdjI+t31pvlH/Dq+1zRgZxZGQvtYw+f/E71jIrFw2jyFghU1woIjSK+Tp/ y4VIMpQlulVSk0fx56zN598xZBg5GNVEbBlDg2zTIOMZGT7PZcRL3o5hZIu3 6UIWGbnj0uvtbVl42D9basHlEWbfDTncx4KhY1LG+g9kUJ6o55MOs/Gpe2nF GIeM6pd7nFXobDSu8eY3XhGBQ0zHzy0/2SB9dqET8hE4OSSozdTg4OhualuA XgRMXPbwP77CgSJvZaDxxQhUjWj0hGZwoL/ixgYSLQJFBTPOUf9yMCmrXS9d FYHlYqp2FH4COs+srMKJCNByZSGzicDYvbFGN1kKNrSujwzeS2DfpXN8j4wp uOr7JWfBlMB++Xv8TB8Kpsmji3ZnCOzelnJtMpuCHRxS4zU3Ah5qzRdEvlDw Qb9Css+TwG+5EhdeCSo0V14vF/Mj0CK7L6LoKBXuMScsgx8QOP9Eq/tnMBUZ 81Ee+qEEMrvi7ko3UfGp8E7q/XACRkIrSYqraHAuPn0mnEKgiqSfu8qIBiXG W1o2jQCNtvdKdSgNz/vKGsSjCHwdZgzot9JwXYm5keDqAwXfSmJXR0K/qXLS IprAtOXlAm+rSNir2BbbcXWG7WkoxUXiwL4YpjxXW+aefho5GIlqlZm8PG7/ oyvq9GbFKPSL9fD95y8nI3e/3i0KsvzHwk5EEojz/F0fVBAFL8430l0uj5Dz Vi3RxSh8VRsMCaYSqPPJ0TlpE40gnjUDWlz+tVnSDeyyaJCEdPLbyQTuOF5K bZOJgbDDv5+5i0DCizzWct8Y0FYkjLaEEWCkP22P+BwDyYr7RhqPCWzJMyz1 PBKLHc/vdFNDCAQmqpSVl8diLFjpS/oj7j59jZ+0qcWhd5dhTUEQgaLd6tnF mXFQMy20Lgwk8NeD1HQvpXgY0vr1Xt4nECqyX0omJR6En/5QrD8BmaKCw4K6 CfCSFCf4fAlUDPWbD39KgMXZmlun7xIQ7jAZeuX3FI4DT6mptwn45Oa0712d iEhhhvbITQK6vfVKCs6JoHhKHhO/TkBrnd9l2dZE6IhQzClXCByrd/O4rJ2E LM3Y6/OXCNi36gkpMJKw0aLU5egFAnmDFuv0JZIhpObU+dCJwNVtr34tC0iG J433zJgDgdjzt+LnJ5JR4rwPmnYECk+6iOw8+wxdDkEbPKwJSAVQjjE6n0EH PUVRVgRODDWsv7eHjtUTG5z1jhGYpFfprIynw/vwlnWD3Pf80MP7/EH+FHwq G41yO0rgu7W5qaprCgbs75Wx9AlI76Ke8E99jrDFKTE1EPh1QHjk7NQLXKvt GOGocnkd4oMPmTOgqE+liSsR2NVgoxBakYaL/g8ZGVIEnPT2+bj9TMet0ZH0 HaLcOo+Q8Q2VTBz/caNdfxn3f9DlTZvuvIRvu5Py718cZDVP2z5ufwXB8isf DxIcyId0CQx2ZoFMm07485ED1sFwjabmbFyVcpyYauGguTBPROhtDjrZJ0wU yzigBxzgpffkwl3GRjCcwcH2fy1+3STyIOYsc0aFxoFQT/2XRrN8PNw2t8wi jIPGmej9xvn5WKM33mYdxMEj42vlfJIFsL7I12nkx0GHkO+bYZ8CeD0S2aRw m4MCq8u2XjsLYZqjP9F8iYOqfZtTbIcK8efjG/NdZziguvKE3Ikqwq7oaH6z Yxzw334fwzQrhmlhHWvnYQ5C+gJmwp1KsMNnWNFPlYOB75YqSX6lMHDzLjKU 40B9d7JieHIZKMn7HlBWcmBvG3RtrqEcPhvMj52ZYsNAW9DKafI1ft17V170 iY2s2LNiMe4ViBp7P1nfxUZTwcXC+2MVsI7x86ltYYNIz7oupMaE4pHNRHYN G1IzPI8yrjIhdd2lL7SUDZtZRV3rTiZU5ctipTPZ+N7dfDJ3TyVEl13vDExg I7zht1diXCWy07I2vwtjY9FrffJfvFU4lUUizfqyMZFIfZvMqMKT+v65CWc2 /hz8hFnzaoynDdRmGLPRxVxrkPy7GiNk/2A1dTYqhfUGVJ7XwFMjrD5aio26 L/23tUxqMVSz5AGLl8t7wFVPr7gWIQLfAsp+sLDzdsfJdxvrQC0Lmg0bZEHu 3VspZnAdnq3ZJOTaxsLpSzUH53/WQX9BmN+8koXlHkvMnmvXY49SIq9GAQsy 1VVNw/71eOZkKyOfzsK92Xa5l431GCMKCmUSWRC9WfR5TrgBt+y/7tpIZcE1 PkN5ILkBOuKn8td4s3Bf/W6IvGojAmvzecycWWjUUvt+j9mIlXTngwOmLJzt e6xaYvAGJhqaYu+0WCgXHuINbXuDj9N9rkryLNjZ1jUZyDShfsmawHFxFkhq 2Nnq3IS/e1eMDgiysL1HO18suwlKEbtM5nlYOCPjEy8y14TAjdNWulNj2FDM c1HYpBmKr1/sVRkZw/8ATo7ciw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Xk41dkfB3BCZG2REsbSMoxKi7R7F63ItFFxuTKk+FnarcXMpajsSsQo SyPzWFIpTCEVUtzvIVHKOulckqWbFH5n/vg+3+f1fJ/vOZ/POZ/zObrO3rtd J0lISKSx57+3hUZTks0CIZpmJxnxosRwUNHveWYgRH11yyKVIDHe75nwzd4o RIzUSiczSTGK2x7fLd0vRKRin9WRyC/4+Is2f4q3EBFBSVdT5n7B4u2Sry4L hGhrT6tUKxvG0IYbeUqpQvgdF3h8sB5Gt1VpbMA9IZQPrVWJ+HcIRf42Or0v hAiwO1CqFDaEc0Pltu5dQrSqvhHcWDiEdpWTKRKjQnw2MJOPbx5EsqeNRtAM DtPk+me99B/Eunzt5iJDDrN1ntD6uYMwyk/aXm7GoWsi4VQ5GYC150/v/trP waduWUBn+AD28IRzgjw5PG99aBm/eQDxIsqTDuPgrSUpPvL1MxSWNcgop3AQ jgvMNfI/4/2prKkFtzkc1DvDa/P6DLUsvY5JzzhsTLltqbz8M1wWHPKY1cIh Tr+xd+5IP25u17c7/JlDcOPD16v8+zF/eridtAyB6qM7TdZy/ViTfbBBfjaB 86XQKd/SPoEsEhcmGhC8/hbQLGH+CRv5zplVqwleLb1izuvrg9yfyecWWhFE RCYqSF/qw4qSwROPeQTz7uYZFpv04exp8u2OB0FwzIHkDR970SilrTTfj43f 2uEbnt4L65ZhT+NQAo+yHrNcl15kFGwTS0QTjDR39PYY9qJedktn5lWCR7d2 O0WOiDBfum7muhsEtfUeqvI1IhwLtNrRkk3wITvfreVPEZz+0NOYyCXI4Df9 k/+7CNfe5gTkFBI0psatjXITQVL5luaHIoJTXMhla2sRqmMsFz8oIag7ZjJR YyJCov0ZT/1HBPalNUWdOiI8+Hh1/giz5xuDnAQNEa4/eSlXUUZw98mOW3w1 EUrmthqFlRPkeGiabZwmgvZq6cJNFQTx4z6T1iiK4J/719F9zCrOyRHFCiLY BOjouTN76zRZrWUOyz9aGcgc5S63vVReBF23adPDmIu+JTUGMld+0edFMcs3 pfusZ+7sm5qdyPxP3+zusSkiLLT43+B15o0XZx5+yJy0WeHMHeYlV9QugPkQ Cfr+lDnBUr2nTE4EN4Ua92bmxS8kz5oxJ5QkP4x8TGD23uofRykRMmp9Mk0r CVoqB/VixilKNexMPjLPWsff2vyN4lyezvnIJwRlKjWPTb5QnJTzUlWtItj6 3tTWs4MiMHiShHkNQfn9T/aSQoqQVPFW3Vr2/zvH2tdlFIU7ewV3XhAkXR4r e1NAoajm3i9ZR5DfZm09nE6RruiXF1pPYORYoRscTfH3qLj9rJBg9FPuY8Oz FAtXfDGaYE4O6Gop9aZQGx6smsoRnLfr6pw4yOI7RS6Wse+G6pONn9lQVF7T XaTO3N6dsp5aUEx4v56eyuY7XRI/23w9Bd81Qu0qi2eaJv/uy6UUJnEWCTrP Cc45CxzX6lPUBfZXbmX5VejqXTLXofA72j5Xm+W/62b19xx1islK+5vvsP13 P+yrZKZKsaP01ZSZDwmGvnccb1GheJ7VULL0PsGZbvXZD+Qpni5KtZW9TeCy OiPFWJaCdlHX3ByCqs8/uGFpiu87o39Zk0kQm9X/slCKQiW9K+9BKsFS2VD1 NczVAq1bqxIJxN7uWfbMrc3c/LIYggfVGf5fmGMEHhtkLxDE+fY3fGPjGTp1 /eYqIAikKwssJlOEyyySex/E9qPYwLiBzZ+0Oenw6dMEa+2r68OmUEhsyqte cpTgwrwMR1sFivEdCvmK7Pz2z0g8uFqJYrlchIKiK8HBVUJffZbflpXFytSB oNrwXtrFaRS/Nf1ZMWb733k3EwzOoNgvlVK/ZSdBGC8ncK8axfDKwaDK7QTW Xi4hubPZ+m79t/qkOcFLU5VHY3Mo3DYOCA6sZ/XQUbp5gxaFs+wm160mBMZf LDU7tSnUdzmc9DMiGKiJiPXRoxAsrTXv02f1UG+h3DOPQotXyEvTI5CVKvDa /jNFjZf3nmhNgiO7g7viDShqdS9VFasRLHt9uqnGkMJhvYNFqgpBW2+nVtBi ih/B8dav5Qjm2HjcUWb10ORS6+syifUDbV+ZkOUUQ87nM01/cEir44c0rqDw D+3ocRZzaC3akKC0itWP+7jPM9Zf81M0xQvXUFTpfDzsLeLw+2jC8WXr2HwN Ucf2/cuhdiLZTtuUIjTFnx/YzuGQwa89w6DovJjmo/WGw5Bb80meGavntrFr Cxo5rBE9Nrq2icWX2v0huo7DoqkbhPe2UPiufPfKpoZDWOX19txtFKNjpica Kjjc4GX6hFhStMBpvWIphzOTXmQoWbP1+mvmfXqXg+Om+ht2O1k+Dnt38fM5 BC325bx2UyyZ37TWPofDrU697l/3sv3JD7x0JJPlmyofFG7Lzo+CeoZxGoeJ xTkjAfspiob9IzOSOcy5sD18iR2F8gkuPOMKhxjzCtk8e4rYoeU/vbzM4Y8f pjMmmCsP+Y2NJXDIslzx1IpHkZM5OrKceUg0viiReZuort07nt133XMc2pk/ 7M6IKIjjkP3LDFd9B4qK8+mn6mM5/C9h2CmQ2a5JxeNrDAfj3jK7F8wLvI5o LWDeVZLnpeFIcUVGaQsvmkN7eWHRIeaD9mlHrKM4jFjP4j1nDj6p2LYjksPe dX9LG/IpLsqIxw9cYvdn3PmBUObW0/nzjl3kUGB0nP+WWTThYqUYwcHPtGde uROF6qmBmNFzHH56sj44jPWfyd+7nZay+3rfyPizJc4UZ1bL3MsScLB+mFz6 mDlTw+nrrj843DT6OdHsN9b/qqKeNoRwsHN9H1TPLO+fKE4KZusfE7dpswvr h08EV2yYY0cbp/OZw4xjQ2YwX35mlH2aedb17EsNZzloa4pVo5ivqiQmJDJP z1nlksksduo/wWeeu0A6s5h5Z43F9fnMHQNm+vXM79bRe5/OcOgJlbrcxbzb Xie6mPna3mM/vjLf1Fo3JZw592rjYXlXCunUlxcdmVtdUkzmMAuG7o+vYH46 zcPKgHmzx6ltKsw7hm/cXsnsVkVK04M4NN57e5vP3Pl2qfMW5mCJPR6/M98r /eA3i1l6367WOGbLC3yD3kAOtoaa39KZ/w8wLiPa "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.28875000000000006`, 0.825}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.3087500000000001, 0.845}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.8499999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUFte2wNHYS2wxdpRYgga7QY3o2GLF3hV7x95jiVgQe0XQoIlYQFRU sGH/FBVFBRFBFBCQJr0JFiw871rz2/PWuFxeb+5999338te3fmvPPt/eZ+bs c86efcZkzIy+4/MbGRlNLmxk9LffZYvfNzBeFWYYfW2lYbiFh9Lx8vRgjwEP hEvlv/zSztJHeLDxorKeZw4Koz+085OwK+28RR9GH0YfRr/A0VchfcffFX0Y fRh9GP1BRYtZz+74QPRh9GH0YfTNLlaY1GrgI9GH0YfRh9HPN6P2hAKTnog+ jD6MPox+8pZKJ+Itnoo+jD6MPoz+AOsaje/ciBF9GH0YfRh9Q4fvPY73jBd9 GH0YfRj9utUaNNwekiD6MPow+rBPXL4nVtGnFPsXzY79MipZsZrmbFI04LYw 8nf3WtUfnpiqRO82XzFxWoghYv7ekg3H7lQsDT36ZC/2F8Ye2GWtlUXTny4K i/5az+mFqiZp+iqLvsqirzL2w82Orj1Y5OttSpexZ1OTDqQIn7AwTL1XP12p 4VH61i5nb5HTP9hD/8DSvspyvfp/cr3u/+kvmP5astn61yEjNxoqmqSsqDvA Vdj2QXpPv4WJSm73Sf6GZ/6iX65PbKHI8YeUwXbvLB3Xp0n/w/jD9bTXou2c TcrlJGHsu7zp0dy+Z32UNPcXfp75U4TpD+63Xk77jTc4PWq/8LHB7NjhAWYz Zyr2RwN/2DA6WDjHv5hNcNf7wseiVh1oPe62sIxvlWfVfNEtoJm38KS7d6Nv FDslzP0uVnfPhfSR5+V+wPhnPn/rpTo9TwtHhrmfOzvLIPoNc5Mer+13U/Rh rr9eI3aoy+3rwk4PMgdPD/cV/ZSGXyVvvBAg+jDXT7fLG9g8zV943267ekZG gaLvHV06caBfsOjDXF9i/sZDsWuChBf02m7qWyZE9B0djJ9VjwwVfZjrn5ru OnjU6bGwZf59dbbVDBf9qV3M4hIyIkUf5vozYW4u890jhLeEDtp21ClK9J3f 7c4cvDxa9GGu79Q57H71yKfCuSdHlNlWM0a7fyH7Z7YuFqfdP5W53qNGdO8C k2KFx20cv2W+e5zoz/U4nG5i/0z0Ya6vnJtwLyEjXth/wtRSw35MkOeV8cDz CfP8wTx/MP+nH0/MtzDzJ8x8CDO/wcxXMPMPzHwCMz/AxHuY+M14xF7iFcx4 hIlfMPGFePDV/q3mt8tcUvZVWlSyVudUYeIZ8Qe5+KeOX64nnnA9PGPPXOMF 7teVKmtChvv30+Kxz2pDio1lXBvsg7kfMPFkm6Vxl75Nk5WqYQeqGp49MAzr n2vU5gNfaVXPbv/Mm8LGBX+wrNnZXXjc7LpXajqdUODDTZvZpxzxFV5y1e7a L21D2pSyfXQizXqdcOiA5FFzbu0VDgrb6r98u5dw2/nubsN/uCS8vd+4mMDU G8K3nWcFtD13S/iPcMOME0UChH9a2WnC5On3hedu9pu2uHKwcGnz/uOaLHso 3KV92JSOZqHCsQmjx7zZGiZsnJMwuWSbSOEnfs0bRfeJEn7d703T5O+jhTsf bHPcJ1TjsfXzn7znESvsueznBkfGxgn7FSra5FTLZ8JVhloe3ZyicfOoUp47 vROFVzXtZzZ3XpLw3nPfNvq1e4pweomhRwa/17i4fbXjo4PShIfEj6rXenW6 8n75qPsJU2/K83osKNDW+fVBme+bbV9cYGG1uMvM3+jL+FVZxq/KMn5VlvGr soxflWX8qizjV2UZvyrL+FWZ8Qvr1w88jwEX4ucmr72nzffq9YzHpO/2BBrf /3h8mi9tfWLT8FTFsCi5cmqDXdKeT+F5XULzriuDuy7zzcifqvmbknIg8ulh 4Xs+91LyNU5Uvj5YwqN29h3NnozCzab86Kf8aOMeOcuQrDgt2/rbkCbnlPT3 DwsGt0mT9QzXw1sLfL9x5KJkxcLRdGO0m4cyb0wrz/Kh2vqmxqlbfuc2pilB myb4FjE6/dF6h/G+rbnvozZ19hv045X1jumQ0NcO9bzk/6fPP9DSZslV4Ypu 7Xr71PBVHhXqdLjWGG29szF44bCJV1LEHn37xMvAxCUDz16/JnLWT3p23vfy 6OzqKcoi0+BmXmvuSPxj/Ys/rH9h5j8Y+2if52O6R8cu8zzTpT3iY88SF5Mm xzw2NLq5vothgHObb0os9KlSSuP59T0rjX8ZJOxRP7v1yTvBwthDe2V7mW19 e/K+yB/1TJx6LDJAeHZU+2Xpm32Fk6Ju3Vrf4o4w8RrGP9p3r9lyhnHRayI3 r3myzopRV4XT7nRyqjvmhHD03b4/jDl5WpjxLutD9X7tLL3V/U7hk9r4cx4Y VzT8isQHWQ+q8pzUsYELDl4Tnlxo9tNdebfleln/qfI9/Wz8i97xEy52xifN cWugXC/rPVV+wKpHXI+XWjyJmBSUMnJ/iFwv6ztVvqjUsJhviz4WPlUlOsn0 dLhcL+s5Vd7Te9LTyMoRwj8/W5D9S0yUXC/rN1W+9acLM/o7avHq+JWlc4ZP jZHrZb2myt+U805rUV2bDyo5rcpqlxMn18v6TJWPT701rZqbFu9Wztkwq87S BMVtxK1npZ6Hyvg9f26q77y8EOGpe1ts2nctUPj9q3ORpZ3vCY+41WeytekN 4SLvmg2ZuuKycPtvbavnZp4TZv0g40e1l/kD+1o6P5wSf04b74PqOM1I35wq 1zO/IN+/8EnS7fZpiunVsqaBZZyVjrPWKDvnpCvFlhm1GhL2UP6P9Q3stOqp d8ggP2HWOxJv1PUU/KjUvqoHA68oXp2GtX64V1uPzfo10L/ly1Slb27TFnbN r8l6zLmrX1S1vg4yPrzW/9RyQeVlH43Hnx8kNkrqc9aAfTD2wPQfjP6t6nej K/6wRfRh9GH04aTnI5Nm7QiW+ayOZ3qHSJ8n2n7Ty9Czzpto4XsOq9+El30m PG1uLzf7esnCxftVGNCtfbpw8M70ZUZHM4VrrekXEnb2ufCcBV71va7nCHtP qGK7LeClcJmBNqHTwl8Lj/o5plHXhDfCx5t1Xl0r+51wXs0jT/Ly8j7Kn8j8 rPoL4y+MvzD+wvgL4y+MvzD+wvgL4y+MvzD+wvgL4y/MfHmqv8nDGi0zxH8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/F/8tUD5e1/zRT/YfyH 8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gf+MGpgMKemeJ/zD+w/gP 4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4/8DpyPbFxTKFv9h/IfxH8Z/ GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8b/NYUbBiV2yxH/YfyH8R/Gfxj/ YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/G/zZzT5Sz2vxC/IfxH8Z/GP9h/Ifx H8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/2LL8ztYXbO5/lE+G2b+xfqK/ZL+u7me+ Lh6TMyQsQ/j6ggk/3q2eJfxLbOLcNuOeCzfoM+2Uh1u2cMyljOffpeYI6+1j fsYe5i+uJ57DxDeY8Q7z/MM8D+zXWI+Rzy/5fNmGIgHpsh9mP8h6jv3umsDv d5gefyz9B2N/9M1hr7qlR4kcRr7MtaZLvsJxIoeRG69K7nPWOFHkMPKLY0++ n26eKnIYef29l4LLHswQOSz5iS0mZmknskQOI79rs2qF7+VskcPIK89IfHTg 9guRw8itR/RouOzhK5HDyM/28Fw1LDpX5DDyIq3Lh5unvRU5jHyQ2cImZXPf ixxGzv61edjuyR5W7rK+hVm/z6wR3sSk7UnhTfOWTzNuuc/Afp3rYdbH7L+R w8j5f5j2YeIL9odcXZ/61YUwed6IN8jXGTbub5HzVOTEH+SmfwzonV4iXuTE I+Q+S6q9c6mVJHLiE/Jxw+IOWVmkiZx4hTzf7wOPFK2XKXLiF/LeG87ni/vx uciJZ8idFxsPvtIuR+TEN+Rp1iuO7erxUuTEO+RthsYXWDDktciJf8g3dO02 rO/4NyInHiIPb3HMs/6sdyInPiL/wbRskaK/5omc/aR+//X35r+Jr9aHH0wY UV3LVyVdOGDnsjFNKRtSd//YgsGSL+q5/dzbgGZPhG+41fqh+olo4bGrU0KC feOF8004ZbvhaZLwno5LGnd4nSbsXOa79CVrMoXTjOx+Hrz9uXCbjMRdTZ1z hDdE9sj62v2lcLi/Z5ckr9fC9S6X33Pj2hvhRUcX5jjfeyd8e/eT7kvC8j7K xwWeDzPxee1hgO+2XbE56Iargf4nf5Zb2fzWlGmfzhejb2FetsL+YxnC0ZEn g0oXyRTO2OcwsPxzjR0tm3+z0jJL2LVUJcfVzZ8LW5473y9ni8ZDl+wOfr04 W9ioThv7icEal06sXn7qlRzhM9uuBj6u9EKY+QxmvN/tf3HK9HVafpj5Dv+z Mp7HVgz4OD9sZFdpyqLhWn5DP/+RX5R8mDofyvsFdT6EmQ9hWY818bf1LRP4 yfyzPn+iz198Lt/M/Ii/zIcw8x/MfAczv8HMZzDzF8x8BTM/wcxHMPMPzHwD M7/A3A+ZT9T+/NouvMMSu9PCf/TPtyNg8C7D//f8r3dpx8bL6j6U58vjdGav ytUeC7/3q70+dXCE8LxzV4I6uEYJ/35j6Oz6HWOEy+1cszz3UqxwqwPfVY8d 9kzYc37vBp7BCcKPVyTdcZqTLNxrQMWwiakpwgtGn/ilz/p04VeVMjpsXpEh XKzGpbK297V42qlofyfrTVnCQ0uZTB75RIuvjq+8Mn52yhZ2e29r+ClRi7ex z6p0NnF9of1fakL5b3O0+NssxOb3t56vtP97Yjk10yhXeIVPzPOQSxo73vXw vlvirXDg6c7dTvpqHHvhm0puFd8Lf+dyxHlTsMYbTna67mCsxW+eb9b7PM92 dbNOhYzX2DHlgXl470y5nv2AxGvHedldD2vxyHLIoPk9HbLkevYLEr/zv256 MU3TN/IJPX3l8XO5nv2ExPMZS+Y0aKrxmSYjcpoY58j17DeQW4XnnXBeoLH1 nqfNXMa8kHyujA91P0h/jEofHmHeLlSY9Zs8Tw9fVOnb4qkw6zc49dTlW0V6 xwmzfoPX29vNM0xMFGb9Bted3fO7+Tapwqzf4DGm6yc63tGeV9Zv8IkK6Zdm hWjPK+s3OH/hft/0iNGeV9ZvcO8XZ6xN07XnlfWbrDfiKl/96o32vLJ+k/VH 0NIKkYW09QPrN1mPXI+edr6stp5g/fap94H695NzX41+4Z4aINfr8/Hc7yib 3i8nl9Dylazv6E+Y/oPpL5j+gekPGP9h/IXxD2Y9BGMf6wfsg7EPxj4Y+2Ds g7EPxj4Y+2Dsg1nP8r6e9S7M+IEZLzDjA2Y8wPgP83/UA/B/MP8H838w/wfz fzD/B/N/1BvwfzD/B/N/MP8H838w7VO/QPsw7cO0D9M+TPsw7VMPQfsw7cO0 D9M+TPsw7VNfQfsw7cO0D9M+THvUZ9AeTHsw7cG0B9Me9R20B9MeTHsw+tSD oA+jD6MPo0/9CPow+jDrL/YH7Ddh9psw+03JJ6n67B/Qh9GH0YfRZ3+BPow+ jD6MPvsP9GHk7EdY31P/w34GZv+jl1M/wP4JOfsLqV9W9xdS76zuL2CeZ337 1BvA1BNgL3IYOddTT4AcRk79AEx9APYhxz4YOdejT72A9I9aD4D/yBkf+uup B5D+V+tz6E/kcj+oB6f/dfXhrBfZP8Dsf1gf8nzAjBf9/dDPL8gZPzDjD8Zf fXvEd5h4zP2CkRNPkcPIiYewnFdQ7xeMnPgEE2+4XzBy4gmsPw9A/0v/6Orf 6X/uD+OR+yHvx9T8IPXV5BOpVyb/SP0w+XJ9/apF/LVV880ypd41s2/nGwkz s5T5G8+53q6YoOjr0R13r3I57p8p9cDdixaNMyn3XOIFzPzM/cRe2qN/sIf7 hZz8Aft12tPndyVfr7Lka9T+Qw7r883IYf15AX39Lcz7CJj3D/CuAm/tHdc/ EG4Zc61tj/0hwuSP4XnO/ZzOB0YKc//gR8cyX5fLFyvM/db3F+s98i30F4yc /iY+079S76XmZyRforLkx9R8DXIYOfkb5DBy8jnIYeTkd5DDyMn3IIeRk/9B Dst6WH0eOW9Af1K/TzwlPhOvYO4X9fY8H/p6d3lfo+5XyVfL+Qb1fRbPD/o8 j+RTaU/yq6o+77dg3odRj8/4Jv7o6+953nmekROf9Nfr1ye0z/Mk63G1fzkP Qn8SH3n+OW/A/MT8BRM/GU+c76F/WM9w3uBpw/wTWq/TmP4mvjO/M1/DxDvO ixDfmb+Zn2DGI+c7mN+wn/HO+Qn6R/ZHav9wfonxy37ym6nL+y1vlKLwvov5 l+eJeI1/3A/Jx6vxXf9+if/j/znvA2PfjmqX77lVS/5o/6h/XwLjP8x4gek/ mP6H2S/D7Jdh9ssw+2WY/TLMfhlmvwyzX4bZL8P0175n3VefLnVdCZjW+8QW jyRZb9hdd9vreFlbX/hU/KnC967xsn4w3nzXMjnr6Uf7lbb3zDNPjdPOF5Kf pv82uLXqHjgjUUm60rjrb2Y3Zf6X81Jjx+1Rxmco7zf5rZre66GsB/b3bZ1c vWqycqV2xOVVXbca3qw7cDjUO0k5MvAHq+Hj7ihJJu7jy/jGK0ZrjM7sKvFh X1d67OHpVtHKaVPvfkvHxvzTz3skDPL5usNxH4O3h0PHtHmZyuz7Rgd9fgsy 2M126RqyWcsX/rvOgzQ64JKWmj9Z0dcrf+p8yBDb+YWsqicqfzQ6ZLLhrib/ R8+L8PwX61DLe2TncOXN6KAb0du0/cOfPU/CeFvn8Ghp/zvRiuW1N5srdoqR /cSOI3Z2Pp5RSoVfvvapGavp/6PnT7KuPDnrfTFU0dcrf+o8SoZt46pbnB/I +vdz51MyOoZZ2UXdM5iVSbdqXCBL+bpX+4XBFc7Lepn42ODx76cGWGcpWy65 TPJ5FCD7lQS7WV/V6ffY0PqG0W9FKmnr1Wd+Z+3nDHou8Zl88j/7fMuKd92v 3RqfIPsPWX91jlqQ4q89T586/2J5vMv2ZstiZT/CfOa/+XbKPDft/JF+f1Is Y+mVoGPa/f3UeZlayZMPne8cIvMt83WtzCOvir/S7uenztPoz8+w3j7Z6rQh JU3bvxy6tOeddXSWsjdiUOXkt0lK8PrNx1yv31T6n4/wNrQPVbJrXur88Mqz j87XTPRzq+YV80zuz6oetxtG9EgQ/mF0dNctPyUrI8oa+w+b7K34WgTU9S6U oNhefNN1kO1jpdTQBsPnpT1TthXa80e1e4+VvVbG8X0zYhSLDnOsDUFPlQt5 aSlpl2IUl157zpwuEq0cHmz9W2DcE8XF4fvePw/W+kvO73Ss0Hbq0ofKDNev q1f5EBdWLz9UKyxhn6FQ49BBab0zlGYH3sf2Hxdq4P11lE2Nx9u6a/uhdxNz To8fmayMWbalQa9px5T13+5INer5Ic5Gleve02TXZ8/j7CzapPyK9ERlWt/a paZaBF7Wn6dxLtmyfGJwkqx/qT+47JXlUHDtIUP7gR3a7umYJPmQ4HxVVjUp nqTM9nLasjDqvjLW4+JFv9cfnk+Lw0PL/hio7O4z0O/1f8uPhHkVX1/5g9/F TiXYB/wtf2JSZGpLZy3fsXX7homx1nHK6LF9F/cxj/ri8zn680msB+t9FetZ 6b62Pk4b7Xb/REqGsuxl8bxO9h/65VDd5h3HnTZMvjA+n+mNJGXR4vqmYbU8 DDyvzO/682wF+2bsqODlLs+TSe9H81y/cf0oHnCeC/tob92+4mn1J1/Qrt9f wWbC+cvCuZuq/Oa84abwik0OvQvE3lD+0fM29Af/f7l77cOzyvlLe+aWR7JK XrwnfNa2muulnAfCS21Dl88w0ZjxTntVx+5rUKdliMgHjo3rO7fkI+Hsdkfz 6tUOFz7fzjosvHeYMPFH6m1qNFljPylS5B8G68OZxlHCv9n8YWZZL1p4cd6S yrWvPBUm3tGeb1rUTKO7MSJ/Nj3/yu/NY4Wbj5jwOH/7eOFKER1vhoXECbPe pr2C7jNvT3uTLPKaZtvCt49PET7aM8k8sWuycieh1CizFw7KnCovmsyclSby AbuCanQtrDH7bdrv+/PuVtuKZoh8VMGj113aaFzkXcQM+46Z2vNi4R9vU0rj MdNMfZKHavvzzCbzndL+Vnc4zMLhWFdPxeGPEZMcrJIVu+7GS+pNOqfY11u4 Y1TrZMWmrjKvfjlv5eSM1W5GQ5KV3Q9dL7z4+YLs77HPuZnRtmnls+T/PLJL V1neTePBKe19pvd+LtzFrEnrYVU0Zv9Pexk1xyV0MckWuVHs3FlWAzV2C3Ot 2s0qR3hnFUd78+81Jl9Ae23K3WpTq/4Lkfd88Ohm8zEav7hdbE7tSS+F44vl JpZpqjH5BdrblN/MIa/FK5H/4W1hXG66xp3OT/c1mvtaG0+5w9umttGYfATt hWduTg7tmCvyFE/nuWkLNd5+KLB6uM0bYdvEq463umlM/oL2zJ4+b3em91uR W+wtcMd3lcaxO83ne61/Jxz0qHbq/oEak++gvSUBg3ZutXov8nVbJpm4bNW4 yRqnu9t25AnXurW2g80Yjf/V5/sW1PVKsdyepOS7MCRj92M/xT3j1bZZ05OU Gf27ehVxuffF5/8mfjfaqu6uRCXi8fzGOyIe/MvPA56+Fvy6/dRnSkDpDePD e4Qpd+q7rDitxCve+Sp9GFgRypOL9pGZ1eIV1+tFtq65GvEvPz94JarUE9dV UZKvMn8fOGWSR4TSv0jkq+GF4pVOBeu+XX8oUkmb7RN4es9/3nnDz51H/tLz iPrz2O8vt9gQ8XuAsv1+zR6rKycrPkOsU2KcAhX/iFalzsxJ+uz5xREbvfwj Zo43xJdcuce7YIYy4c7Nn2IDvQ09m76ee7JFppJrPW1hWk1vw/XxDlVu1M9U ltk0WfpHhwuG0FF9ZsfFZiiLqr6t5TA3SfJBC/x+NK03Snu/vnfkqxMhrbT3 3/HT9yY9eae9z/yz5yU/Oq+tOz/5ufPaA5ZG3YpwdpL8HPruNfs0d6iuvZ/s XOR6RNCMTKXblCdDDhVOVuY2WjKu2Dsf5ceDxeOT1j5Vqrjk1d1cO1YZnOQa FlMxXDkYsPBubslnyt13FR5abAlS9gRXXWx7O1HZVKhW3t0Odwz32/VNHXUp U5nrbm+43eeEwWifb5deuzIUi1vRC62zHxouvo0ueTUoS3kdt+FBn7oxSlz+ gR0yf49W7Iq+sPdqH2gIMJ5qP7Kb9n5F6vdePWwZ3k9bb9fNvvG++M4EZZJv w3rWx0OU96HtktM+7MMjiqxz31H4qbLJflvT9HGPlOBRvlP7zEpQGltk1Ww/ RMu/kW+kffqb+01/wuSHYPJJMPt9mPwCTPvk82hff35UX+8O0z5M+/p6F55P 8ncw+TuY/B1M/g4mfweTv4PJ38Hk72DsYXxgD4w9MPbA2ANjD4w9MPbA2KOv VyFfgH0w9sHYB2MfjH0w9sHYB2MfjH0w9pG/wD4Y+2Dsg7EPxj4Y+2Dsg7EP xj4Y+8ifYB+MfTD2wdgHYx+MfTD2wdgHY5++3ob8DfbC2AtjL4y9MPbC2Atj L4y9MPbC2AtjL/kk7IWxF8ZeGHth7IWxF8ZeGHth7IWxV18vRH4L+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2Hsh7Efxn7mZ+yHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/G fn29FPlB/IHxB8YfGH9g/JH8o+oPjD8w/sD4A+MPjD8w/ui/36h/v6Kvh+L9 CtfDXA+TT+a8Bvow+jD6MPqc70AfRh9GH0af8yzow+jD6MPkx8gXkp+GyZeQ LyO/ASPX1w8gJz8As7+H2Z/D7K9h9scw+1uY+6u3h/0qz6O+Hkxfr8V+TPLn uvos9keMB1jq2dT8rNSz8f1N6tlUlno6laV/VZb+5f0I/amy9KfK0p8qS3+q LP2psvSnytKfKkt/6urFeJ9CPpfzADx/+vPErD9hff0Jcli/ntTfT/36Ejnx AyZ+wMQPmPgBEz9g4of+/1nPSb0S38tV7y/zFfef+MnzQfyR+je1f6X+TWWp d1RZ6qlUlv5RWfpDZekPlaU/VJb+UFn6Q2XpD5WlP3Tfi+X9G/Uc1DtQv0D9 B/sdvq9J/QTfu6SeRv/9SepLaE9fv8D5X+4P+Sb6C+Z6vifK9eSTuB7meupB uN/kg7g/MPVD+u99Ml5g+b6H2j71HbxPIN7Ccn5ZzffL+WWVkfN8IYeR8zxK /ZzKyHl+kcPI6X/qzTh/DA9xqWVUtVaGMOePYfSpN4H5vqzb9jUDXzbMkus5 nwy/WpniHtgqW5jzyXCnOb2/Otb5hTDnk2HHMaeGrO33SpjzyXBsn4oe40bm CnM+WeoV2y0p1HbKW2HOJ8MrG0VZVVnwXpjzyTD3m+/T8jyxHmd8UL8JMz8x Pvieq9TTquOReiPqo2DeB6IPM/5g/g/m/sDcX5j7BXN/YO4HTP/D9DdM/8L0 J0x/6uvr5PyaGi+oT4WpZ2X8MT+hL+fZ1OupX4VdDbcLDDv9XPQ5z4a+nG9T rzeav6HW9kEaDzPr2dHvdbboc74NfTnvxveDo0uNK7Rb49K/3V+ptNHOu7Fe 43nS14sxP8LMV9x/ff0d/cl8BFN/CjM/wcQ7mHgo379V7YOJrzDxA2Y+g4kf MPMbTHyAme/k/bcaH2DmP5j4ADMfwsQHmPkRJj7AzJcw8QFm/tR/H5n5jfsr 58FVlvPgKst5cJVl/a/Ga9ar3C+Y+0m9KvsBxg/1gvrxQz0l6z/GC/sLmHpE xg/xhHpa/KV97GV/TDyiXp3/w3/qzxnPPF/MT1nLbL8/vjdRWZTg7VTF+BcD 7eEv+tjH/E/+i/FCPTBy8k/Iid8878yX+Mt6BMY+2iOeMx5g/CH+w6yX0Ge9 iT3I9d+/+Kt+819bv/nvrtf8v/b9kb+3XvRT3yfR13Pq6zU/V2/5pfWS+npH /fdR9PWKf/Z7KF9a3/i576fo6x//2d9TIR4Rf/T1V/p6y8/VR36u/lFf7/i5 ekZ9faK+nvRT31PQn8einvFLv9/yufrHz9Wj/W+ph5TvSfzJekd9PeP/tvrF /2vfw9HXT37p93E+V2/5z66P/Kve8a96x7/qHf+qd/yfqnf8XD2ivr7wS+v/ vrQ+j/2GrC9152f05xH++n7Xf9b3uz5XH/if/r2uP1vP+Nf3vP693/PS12vq 61W/tH7zc/Wa+vNU+u/ZfWk9p3zf88iw87Y5cwz/0/Wd/wUEhXfB "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNludvl1UUx+/TQlsodPDrkLZ0UGgRC1gcCCIuBPeoWLUKSKtFK7baOhEU AZEKUt64995b/wB31ETjiMb9xjjiSBzRaDT6/eZ8mvTFJ/c+57nn3DPuPc/T 1D3Q0Z+XUvpd5ItjxQGiTVwgNotGcbxYKOaIYlEgCsVJYpGYx3MednpEt6hg bca7iWI8slNFpygSq8UqUSbOEF1ikpgiJosSmICNUkb7UiXKWVvNmIMS1p4s OsQ49p+IrRpRiY16MRXZ+aJP1IkhMShmiOliGmsHRD/5qcWG92/mfYM4UOwt WsRi0S5ayeU8crVW9Io9xLDYT+wp5lIH525fsY+YRX3mkM8O8p7Pc+GYfBeM yXUxMbehn8eatjF1KSVfXcyLyVEJNZhMbsuJu5kYy4m9krU51o3Ww++6medY V0Oue8ldNc/15LcKeQ00jHnnGjSlOC85fO1jTS3rmlnXyujnTmIqpJ6tyC+j Tq7N5dTJub5UzKd+y8QR1GHUbgu5m0P+r6d+C8QJ4hhqmE+tx6FjezMZ5zOf xZ6t0M7a9eIK9l2S4mzsRfwt6B7Ce9sYEbvEUt434a99XIgvDeTUudqKvnW3 i+uI/2ixHDvt5KcFHxfjo305KMVZPSvFHS4jzg728lk7bsz+J5KLVax3fziK vWaL3cSwnPmR5HM5Ps0mD4eJ/fF9GfHPJedt1HeIuNyfDsavQnxzzzkzRa9x nzktRT8qYjwduZ870Stmbrn7ySm834C+5zliqyAXnpei04WNw/HfdVyBrXGs 60KvC98834ivk9Bbgm4HukWsXcn688Q1KXrXVdTG8i3i4hR9zP514281c/cf n4ledC3rQX61OBs990Z/GxqR9SC33lp0z2Vu3T50vH6buDbFeVqLr3XQx/6b 0LduA/JGnnvx1/GtQ28d9uuIb4gY7dc56Fm/H3sXpujdlm3muRG9S1KcGb+/ CDs+64PIm7EzAwaR+fz5nvp+uE+sR7aG3FWgN4Cez84GaueztpH6+pxemeI8 rKR+rt1qbFUQ0ybi8l1axPrxaugPkTv7voW9HNNW/H9YFGSR90fFhCxq+bj3 z0LvY/FBirv/tXg+xV17UORnsb/7nPudz+Eunt0H7hX/4vuTojSL/e8X/uCs Ib4V+Py+eC/FnSjW+8eox6uiJouzPlPj6xp3ikrNK7Lo03eLv8lfTrIpWfTy Eo1PcBbse20W/j/rnGXRt6ZlEZvl5ZqXZdHvWzXepvGGFOuGidE9z73RvfAW 8SnxvuYcS2eHxqkaX0rRE98Rr4hDxVviqRS9yvs/g+0XxCcpepx9fA5/XsQ/ z+uyyMUS7L2LTefcfXK0N45Qr53UxXLfMd81f2ecl23I/H4HcTmP24lvKXYd 153izxTndBj5AnzdzZ63izdTnNkR5F7TkkUenUP3S/dTn+0/xB3U/i9xV4q+ +Y34NkXvvllUZXGXbhKNWeT9RlGfRTxfiS9TfDe+EG+n+C78I+5J0St9fj8n pqfFZynuZZFsPJKiZ7iGHxHvrdiynZfFG9QxT+sfSNHnpmv+IXb+E/el6K0/ i59S/CP/IH5M8c37Rfya4pvn/+vfUvwvfy++S/Gv/T9hCtnm "]], Polygon[CompressedData[" 1:eJwt1GWIlkEQwPHZs7sVRWwFCwsTbM/uwDzMQ+XUU2zPvjMwPtjd3YHdCnaL iaKnYnd3/IeZDz/m3ffd99l9dmY2f7fYlv0iRKQDkuI+bqMeGuAgIoJID+IY rMRfdEYXXMFuVEAt/20VuvqcpfiOtmiHvfiK1ojDfvxGJ4xCYK01xGh0x3PM QCU0xhvMRGU0xVXfg65dG7+wAlHo6GsvQ3vfw1p9T9boSeyFffjhexuJT5iF KmiBQ0gWbO5YfMEStEErnMZ8FEVVXMQ130txXMYFFENNf5dXaOLvpL898LPW OXuwCNV9D2dQmPWnESviMFIy7kMch/O45M/W/6/2M9Sz05y9xkuU9DUP4J/n bjTWIwXzY8SeeQznUAMJOIr0/D6IGI+NSM04ltgfm5GO8UCxOR/xHqXQHEeQ Jtjc8cjI59nEshjiZ12E76b7+97xd9Z3rY9neIISaORrbyIOENtDkmA50txE +162EAeL7SkP40RiaUxAdsaPiOUwHNuRM1juyuM6cjAeQYzET7Ea1drUGjor VsNxnqO8zJ3jz56IP37GerZR/qx5vpY+M1WwM9Gz6It8jB8Sy2ASsjLOj8l8 HoZCwWpKa2kqCjI+6Z+nIHmwmtBa6I0MwXKY4GeQNlgO4/3MJFhPay9rj34T 6wGtfa3pd3jqZ91MbC9zfW+6p3t4jIao47l5IdabmqNTvkfdm9as1t5bsV7V GlwoVuOaa835crGe1V7VO+Ambvmztae24gbqitXkcRQIlhvNmd5Vu7xW9M5a LNaj2pt6x2gtfhbrZa3JXPx3h+e6mljtb/BcxPha2zz3uuZO5A42V+84vTvW +VnrHaK5y8J3Qz2HWlvZguVOa+wuTvheI/3sFoj1qp5hIjIF6wWt0czBakpr SZ+pd90HsV7SO+8/s22uuw== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHeYVdUVxedsTTO9mV5MBawxIiqKEtrggMgIg4BIkSIijIKAIALO0FRG BEGKYsSghhijsSR2jdExsYxYUERNYkwgKqImIaCmrfXt3/sef6xv33vuKWuX s855b79RjfWToqam5p5SU7OX7GbZ94TOwhvCI8IPhT8LHYSDhBuFQ4RjhT8J 7YUDhUFCT6GXsE3YKjzIPK8LrcKbwnbhd8LLwkvC/sI7wtvC48I/hL8LbcJr wt+Eh4Sdwj+FjcIu4V/C08K7wm7hWaGf0AVuJ2KPE/4j/LukfzfR5wThf8J/ hS3CW8IO4VGhP+O6Cg1CD3wbIHQTugv1fP+RcBLW394nhs8JA+nr8ecK44TT hZOJU60wROgtHC/8UugrDBOGw9E+nUq734fSt044BduHeQcx9wjGOQZj4D2Q 9RvoN5Lv9nUU1j6Npa/7nSEMhuMM1hgvTBVGM/eZcDKXW+A+UZjEs7k3Yu3T WdgRzF2L/xNYx3NNgdNpwjlYr3c248x9Guub73Ss/ZvMd4+fCV/74fpqIxfr hcuE5cIs1rYfs/fgPhfe5nsr7ecLK4UFwkLhAr6bVzNrm/s8rLnPYb5Gxk2F +0KsuTcxh8cvos31ciHWsb8Ia5+WwNVzX4o138XCefh0CXzd7zaeW4T58DKP pYyzH5fzbQFxacaPZXxvImZNfLsYLl5vBX09fhW+2Y/VWPuxBms/rsB6jiux 5n47HNcKV/FsP36Mtd/Xw9V5+CnWa16DP+b7E6z5Xs04x+lafDPf67Ceax3f Pd615n3gPb2Bue2HNcy65X1+A/7Yj59j7Yf18AChXUnNtC5aH61z1s4OxMv1 6Jr7GXN7Luuldc66Y82zXlpfflFSc61Z1k7rk3XGWmW9tL5YZ611hzCmFZ6j 8cP73/vA2uA9Zy205tUxr7XC2nJzSX201ljDrJfWmkr9OX+9mGdQqepsP3gM ZC3rsfWvN/70p19XYut378MGxtTCqzKvdWYcc43BD/OwNgwpVe0bCldryzB8 GM67OY3gvaLR9XAawnr15HsU30fzbq4jGW9+Y+HRAK+xpaqb7lfZq4vIzQDm 64k/DczlPV7RP9tG5vP46aWqlZPwzZo0Ad/cNpH1JjNXRR+nMJ/36Vz8mMq3 6fBaWKpaOY0Yz2Bt9/W+r2iD7TzWs35YO1yzrt2ZcPQ6c4jlBL5Pom02uRzP Ov4+i/Hm3QTXwYwbD2bCyf4106+ip82lqpvmen/Jeu3LOGuIa9R75dcl90JF H5ewnjWhonlL+WbfrC0t8F7Cu/el9+eGUtW+ZaxvTVhZqrq2Gn7L6We+K3iv 6OCqUtW+NaWqfX63BlnXritVvbsKjta1dfC6mm+++/i+U4sP6/g2n7lWlKoO XgMPa9/6UtW+a+G6nn4VPb0erht4b4HLWuK+kjWcy8X4YX9uIF5dyIG14b6S +uW23wh3lKq+2Hq/3lXy3uMav4X3YaWqrZ733pJnmLn8quQ5YT53M2Yi893B Wp7vTtbx3fZW8ux7pe+PPWm7m7G+Zz4sHMoc9zHPzfC+ifnuZ84HStbYjfj3 AM+3sZ7X+m1JXXYdbuP9ByX10DrflRg9SJvvtr7PWl99726Fz+343wLHh5jn 9yXPI9/PP6xL/LzI/tZhnwvW16fwt1PJO/YTwuEl79hP0m7bRnsPnh0f38t9 bvnM8tn3Bms9wfwdWf912v9C/4OxL/PcSh9rsO/bLwrHlPwtYB8Oo83n0dH4 7zi4tuto9/3W+r+ZNt/nX6D/M/Q/ouRvhKd4fqzkWen51yg2H4jM51t864if G1mzG/27M7fX8u8gn8WvkYtW3v3s8/3Vkmd8B97bk+dt5NW52kq+XqXPQXzb St5fInZunyaOX4usTcfvj8TQ54x1cDJtf6X9LPX9UmS9PwxPr/kHxjuHvpO8 UvJe4rztwHf7up34PEJ+W8np9j3isYOYbCdnh5G3N+n7CmtU7jp+bod/2/D9 MeL+KPwcQ9e/z+LnyO3zPB9V8jfdJp5db+/A3b/VXEOuH+9l17FruI1359O6 uJu5n6SPv7tGvMdcG66RneR+I2M7MdbaeiR2F88bGVupTX9zfT5Dn6fhvhvO m/DB822Bdx/6vLeHv+/T9jY+eg/6bub6dm2/wHPld7n7d4bLTnzZzJg61n8X Dlto9zwvEje3XaF6+V6kfvWW7RGZwzNkj43kNUq2c2T8zpQ9LpLLWNljIv0+ XbZLpK+P40MPOD4Pz13EyDEcrb5HR8Z+E7Fx+w5qoyMxfZbcjVDfoyLzf6Vs u0htPln28Mh6Xy27d6QGt8HBMdxLbSdF7pETZI+P3H8DZE+M3G/Wy8Fo5udl u0fuLf8h0jUyZg2yHSP39FrZDpHnwBDZTpH75hTZIyL3xKmyR0bWuzk2w9N3 R99dfM/6iNoWRGqmY7mUeC6XHR+Zu0/KLouMj2N8GXF22zjaL5UdE1kDztsK cue8tZC7S2RPi6zt70fG0TG0f434+KnItb3u5bITInP3icg1PL/ztoTcfTqy n/tMkf1K5Bn8Wdl9I/fmoZE5cPxnye4XeY6FbN9IrZsh+43IM3O67AGR53H/ yH7uc7Zse2J+juz+kfeD70bWsWu4yNZG6s9M28gzuEl2UKT+dJP9XKQufkd2 TqSGuhbqqYcPys6NPK/P9/qR5673ysGsZS5r4fPxyPg6tj7brIXWzK9GxsUx cd31ofa+EFmvrtW6SN7m/OVIHbeGe/2BcPhQpA/mv0h2WKT2utYWUm+uwfnU oWtqKHV1kezwyD21T+R4j3UtX0A9fzSyn/u4Zi+kbr8eeQ75DLI29IrUh56y /SLPEe/LiyP35irZiZE64/xMJkeLZUdG7sdvRubbuXZ+ziVHzvlU8v6xyDHu /5nIeT2n83AeufhWZD25lr4tOzvyPvjFyDPe57u1amWkXv0fO5y52g== "]], Polygon[CompressedData[" 1:eJwl02lLlGEUgOH3PWiaa1qSuWSKopjlmkvmlwpL1MC9LLfJJXcURVFUQiJE IiLEfyHumqkpISISEREhYSLp/+g+nA83XA7jzPOe50ysp7e8RxzHySUvesYf tbTvOk4GteMO+o3vUhP20HecTc/xCzrAmVSFq+krTqMKXElnOJVq8FPaw+lU h+vpEGdRP46gBbxBbfgV/cJ5NINDKN+1Mz3ChZSCT2kWh9I9fES9+DIV4D90 H4fRCT6mclxGt107Yyl+Qv9ce+0xLhL77FvUgBvpG75DL3Ez/cA51I11oPpd eoYW3Eo/cS59xJfEZqnP5I2zaBfP03scJPZe/cxknE5f8CfqxF1iz6YzSMJp tI3X6TX2EZut3oEXzqQdPEeT2FfsbvUOYvEYbeEVeojj6dy1GU3oe8XuTl+L wSO0iZcpGg/RZ7xE13Cf2Fn1DiPxgNhdLtI0DhDbHZ3hFPYXm6XuwBt8UWyX dAcHcZTY/+p36KwSxZ5VZzaKb4idRZ9hHMeJPcsqDePrYmfTM+ssw8VmrTO9 IrYTugt/XZvlVbFZ6UzfYj+x3dQdd/ADsffepHc4UOzu9Tehs06gNddmnoov iP0W9LUPOFhsl3UnSnCx2G7pzv0Hzv9l8A== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHnc12MWffvda0umDanMKBJtppCh0TRl39uQsiSUULYpQ6FSWigpZqVS b0hIi1Ip7YsS0qJCaWQXkUxKzTlzzvt5/XE/936f/bn3nnOf369mp9tbdy8U FRXtL1NUFND3ZFHRpzB+C3kUMhQyCgOaQo+GngBpBXsM9AuQy2E/Az0RciXs sdAvQq6CPQ76JUgH2MXQL0N2Q6ZAZkKuQft46EmQ62E/Bz0Z8hZkCWQp5AK0 V4P8DPs66GehX4FcBLs6ZA/sy6D3Qf8CaQL7DMgu2JdAHw3ZC/sc6CqQn2DP 8hmmQpZDFkAWQuZAXoVMh8y1ngEZiXltIW0g+332eZD5tmd5DerZXov6dWvu M83f07wHnT3vV/csWW+ZNddb5Dk815tel20rrBdDIrTGSn/P8dnPQ3tVyH9h HwNdCPWv8n7c5yG09Qutd0BojdWQ97we47DGmvPWWr8NWWf9DuRgzD0I8i7s Q6E/gN4COTC03nrIBq+7xvOW2fdlQ/2c8/6v9v/Q89i22fM3Qg7D+HKQTbA/ cj/7PvYanLfVmv1HYuwRkJ2wB0H3DvXXg64I2VaQbPEafdHWFXIW5HHIcEjz 0D2XOw6P4XsYpBmkLqQ85BO0d4a+KXTe7yBfQb4uaO9v3VYf/ZUhO2D/KYSr 5wv65thvCsIXcUa8EVPEFjHWHXY3yPaCcEf8jbFf1jg+xB3xRxwODt25Qgg7 xBnxRqwRQ8RSFecI8VDVOGO+VjO2mK/VjSHmLfFEnE0vlOb6AufpIn9Pdd+s Qmnez/b8Of4mXolR4ou4mmubeGL+zyuU4mq+zzfL/SX4nGNZ7L1XOndWez7z fEmhFFdLvd5yfy90PJcXSnHF74Ixsdjz3/LazHHmPXOhjPE01/PZxrzu51zh Ov1DGMvQ3qu8Vgmu3iuU4qoEF+v8vczfq3wf5vl6z9ng7zWO/Qb3MeeJgQGh 9rWFUjwwtwei/WHIIcYo27Z4PnO2BE8feV455zLXusm4Yd9w44O52tsY4lrk c3J8sddlO3Fxs3FS0ZghLj4rCEPEFvP+thAmK7mfWCFm2LfD392MG+5b2Zhm +50hXB1urP+Ith8gj8Ae4lpwlLl/ioU5zzxlndvtvOJ+Oz2XfcRCCV/vdd79 zjVgnr+JhRnW+2zXCPH7Es/f4zVYB1kPWRd/H+Jl5tFfrZlLTV13iX3GaoBz 7jchn9Kf7zoXmWcNoWuZf48PcS5z4cQQF3NO7RDPMuanhTiR96zlXOD69A25 gL5pHeIg8ksj6BPMufc7PtscE8aA/t/kXGGenALdIErjw3jQn3VCd+D5H3Ss uMZd0Cc7P3Y7TlN8v1o+G/1HDqIP9ztmMx0f8hR9zDpYwz4vY98Sn+THVvYn Y8L4MXb0TW37hLElrzGexH5N47+sfbre9zvBeGDukCuZI6ybx4b4gXWgju/I OBwXwi7vfaJjcZ/5eKvxUdHjK9oHtBtDn+m8pf9Ock4zx0+xb1lzGzrude3D 8tZ/tM1a2cixI46aG7P3eJ36zoVTjRvu2cT7/gH6dO97uMcyXiNCuOIba5/P usu50MAxP8PrsK4NdT4zrxmrC0PxZK6dG/Il6+mfIZ8XVHNbQL4oqI18Qa5g W3OPYQ7Wcx6eav/w/IzhpSEscl/WV75dySfN7IOWPssEx/D8UB6xraXPTB+R 31hne0D/xfsxBy8O5cu9Idy+Afvs0Hieme8Hfn9ZUF6Ec4M52Nr7MvbkTXIm a19br3NFqK6z3nPtNm5vF3oHlNR12nwPkG+vDXEu53E+MdsxVO9Z459x3xjP a+f1i81H46yvDnET3wScO948xfcE9+Q+3I9viPahdo4f73MUe2x7n5NczffK 9/ZlV/uzU+j9wXc+MXpDCHN8+7P9WWOE9eY/BeGNNusO8US8rTZ33Rjir7sh t9jnXKOT7855nb3OLT4Dx1Df6vPwrh19ry4ev9kc1c3nJ+67uH2778Ycoc86 2P+3+77s7xn6ps3aR46r6xxiLhHrrHc93Maz9PR41jLis77jzzyY63xgzpHb eLY+IVzyjvTXVvutV4hfhnj+DOcauZt46eXx9MkDbv/Ud+K6xHgf27w7+zmu kv3X1z482zZj+0ToNxL35PuHbx7WKOr+tlmr+tlmTWNtY93Y6G/a9N8d3ned 2/mGSa9JTl7hdfi+4hoDPZfv3MG+C/loiO9OLiJf7bIfBnkMOT69Ju/Y2+0V PIb+fMJzXyuIY8iJ5MNDfH6e8Rr8Xr4ulfdXQrdJ4bAzdKdUjlwN3S6FvfOh z0pxzSXQF6R44VboLimc3QF9WyovK0FXTHHZ9an9uNdx0LNDdbsH7DtTeV8f ek6oli6A/XPo7OfCLpv2B/RbofpWzJxM4bEn9BuhGnsv7PmhmtkP9tIQ9gbA Xh6qbwthvxuqM8Ngvx2qq4NgrwjVqJawL01x3FHQVVP+K0Cv9JiEvdrrHAm7 Sio286B3h+rKHNg7Qlj8jLhI1fJtkNqpd8NE6BdSGFrpc3D9Zb4Dz/+m78Dz r7Iv6IfHoUem8P8i9DEpfI2AfiWFl3d8T95xLfM+Vdup14Tsl2FflsqZSdBF KQ7nvb8N3Z2xZH1izeFdv3IujoddnOKGZ3m/FO7GQm8Icdgo2IelMPg89Ach ruF/Niel3kbTPY5jjoZ+OoXXMdCjU5xUmfdLce8D0ItCtWqk8czzb/I5eIaJ kL+navFm+4j+WQS9JfSO2Mr7pXCyAnp/6H3wFOS8VO07EPqH0DvpacjFqZp1 aMp33HcU2q9I1akGqRgzvuvp49Tb5mHor0M1YTSkQ6ru3JfKD+bGM5CbUvw8 jn5K1YUxsDum6tdY+jXF/49Bfxd6Fx4B+7kQTzwE+4tQPf8SUibFY9vpsxT/ PAj9eegN+ijsb0JvR2KunHF3MM8S4jfeY13oLvw9xXcP3w/N/V3yBhkepW8h vpP4juEY/nbiW2iY22m38DrsH+JYsgZ8CJmQ4tZHHF/2t/UY+pztI2xvhB6X qks/QSqk3pRPpfKJubQHMjn0O2YG5JfQ2/MAxjOEl96w70/V+IMYnxDH0k+9 Ur7a6T62EyvjQ3j5F+zqqTvthfwY4uZ/oK1ayh9PQn8felu/73Ecw1j1ScWL cRiYigU5hpxFnqnB+Kfeh+TXmuZYcuqxKV59jXdL1ezjoWul/kc8Bfrk1H+T J0LXSb1lXw/xMuc2hj4t9d4l35+T4nzy/UUpzl9s7P3/P7wQ95EHmHd9U7nX ELpR6p3aFPrM1P+apxNnqf9Bm9EfqbdvC+jmqf9EmzBuqTfrdOhdobcScdM/ hZ160HVT/xe2SnEW/U/Obp3KEdau9qn6dVUKn8TmDSksEUese5enat+1KUwS j6yBN6bqYNsU5ol31rquqXq3IFRvWGtYx+5O1bLB0ENS77wLUzxCDpkbqnOs cd1SGCZ+b05hnnhn/eyeqqHzQrWNde2uFBeQB4iJWcYFawx/G/P3yyeMR+r3 EPNreCrHZqYwTPxOCNWkE4xJ4pC/L14K1S2uRy4ZmuKTJ7ln6PcF+e9vKQ6c BpmSwi/rDPFD7EyD/ncK+8z3yc75SaG6zpr+amgcx5SHXpz63fVxiJfJyftC XNzY+/zTexFbU42v/wG32EKd "]], Polygon[CompressedData[" 1:eJwtlXmw11MYxn99z8tIUggJ5UYb035Lm8S0UBF3sjckSQv3RhKyZNyRaxhk KslO3K4WibqSQkplLI1d9owlMwyDVJLPM8/54zPv85zvds573vN+y8ZUVVQW pVLpTgjYlEqlOxDHEveFPbAD+kI32AXfwYnQCXbCV9ATOsJamMbzRxP38uLG 6BUwBb8dfwB6M8zC94aG6G3EXvmdT+H/IV4Hk6AMfww8yrP98evRs4m1+D7J 99YyVpWfuQvdHBqix0IVejKMRj/PM38Tn8RPTJ7T2/ACdIH94B24m+ttiPvD y7A4r607rIKlee3lUMm9V8HSIn8DDg7PVXPcS/we+kEPqIM1XJ9O3Mb1puhP 0E1yjifiJ8HFye/8WPuA75DveRNuVU6ICZ6Bm/CXEVsph+h5xCNhGCyHhdAO usLrXP+a2AxmwDn4kVDHt87Fvwf34tsSG8GHMBvfnnig9he9VWuEW2BZnoO+ 3RmW5G/o3X8Uzm0tHJdzfBHXRsH56EVcv0RrDesLGatAnw1r8SPxo9GXhq8t Zmys1hrWoxh7QLUUzuU4/O/wAVyR13wt16bCGM1V30BfAM8VnsMX8Cy+MrmG uqEfJLaA0+F4/FziETBEa4MbGWtJLGld6DnEw2EQ3Iw/BIrkPdmS90C5b5z3 /lNi0+Qa6Id/iHgUnAET8ONhSeEa0Nn6Fg5LPmOL8h4o9z9oz9DnhfdOa/qM +AR+QnKNX44eF86V3jlP34NT8T/hp6CvCZ8N5eiVcM2r1qdBA60lfDa2FM5F F/xpOSd14Wd079WwAFbjb0jew4HoweGzrvMwKDwmfRZj/TUXGIHew9g64u5c Sw2gN9dOCufm38LvXpev6Rud8GuIOwv3nLfw2/Ncq4lt8auJO/DNiZvwf+bc 1RBXab3hWp2ML0f3Cp+d3Yxdj34tuZdpz4do7eG5L2RsGHpoWFcw9hj6JeUU PV7zgdvxrYn7QD26XnUJU2GleiUclMeeDt+ja1fCbegNxICy5Fo5mbEzc81s QDcJ90L1mFPQ84n/Fc7pgHCOlVs90zO8Rq1taHKt9wjrFrl2Pk/uvaqhvuE9 UO6HJ/eWPmGtHpPQEa7trdyzXOtH/1y4xmbg1yf3KuXgr7wHNfkMdEC3U8/n /sH4OeiPknuNet49+HeTe7F60m+wkbGZyT1eZ699+FmdwfvQ7yf3LvUs9YL7 w71BPUG9qCb8b1BPGqG9DPea+iLnLrlXK4ffJPf88nwGh6sWw3utnqm9Xpn8 b9Sez8RvTv536h+yDP9iPmsDiNX4jbkW9I/V3j8erhXVgP6NjcJzmZXX+mvO rdasXvVlcq2qZzXDHxquDfWcR9Arkv+1A4ld8Z1hV+EzO1f9LTyXHxn7JZ+Z 6lxjLdELwrWnHq+9OSHc+7RHrdFtwr1OZ2o++uHwt7TnrdRbw71A/5hXoWP4 7OmMai7dw71Vc5qOfiO5l+qf9j9VMANG "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm812MWx6/qeb5I6XbTnuq67beFVBJKQxJCtpAthFB2Y5B1xmAsYxuD sQwzjDEzDMa+74SyldJeV4t2rZL5vF/n83vd+8e55/k+6/k+55zP+Xzvr+PY iaMm1CsrK7tKf+pLn5LLyoqirOzjVFZ2pGRyg7KyLyRPqf2p9JeS19S+WnKs pL5ko/o2Se7T2jO19kH1PS35XH1fS/6t9mfSX0leUvsqyTGS/0qmqO8byRtq XyM5TvKO5DrJGMlCjc2QzJR8oOffSk6UfCQ5WXKS5C3JtZLjJe9JrpecIBkt ma518yTzG0T7W8ki7/edpMZ6lmSBxznvBa29UnK0pIve6znpqer/3nNnSxZb z5H8UOec5dbst16yzOMrG8T7cP4Kj/O8yn3YssZnsPda6yWSh1Pss06ywftx ziD195T0sh+We+9tUpzN3J98xmrJKSnsXOZ9sX2uZLPtW2VfrvDzFq/Drnop 9uOcR1PY8ovkZ49jb5n713tdjd+nQYp9Oaeb2m0l7bBdd9tDcqra3XPst73a 5ZIkydab/R5FCps4c4cU5/GuDVOs5blJivNY18jj2N7U+7HHTpLtUpzV1ms4 s4X3Yu+W1uzxd89vJmnudcxr5fHGktbWO/rdyn3maZIKSXtJG483sa5vWxvb Rp47eD5ndbTG3irbh12drFvZ/x08t4vt4JzOHue5q/t416a653LJ6diRw64e kmrb2MHxxH6VvrOfHAu93beLZA985rW72abOHmtuWyttO8+7+h2Y18fzeO7r ddg+sI4t/Ww38bK7x3ke53MHeO9K27qn1/Wsc3e8y2CfjY1DrDnzNsk5XlfC AvJwH9vHmqE+G1v29Tqeb5WcbXtvlpwp6S+5XXJuiry8QzJRsjc+0D3Pkf6H 5C7J+bbrbskFtuuPkgmSvSR3Ss5LYcs9kgt9/sWSi2xXS+3ZQnIp9ys9THoE 7652heQStW+RjLev/iA5y/e2QDJfcoDkEMlwyYGSwyUHu2+U9cgUWAhmT3ct oCZQG5apvVRyaAqcpz5QJ8B2sJ8aAHaC8WB91xx4elSKOkANAXO5o96+d2oL dWCGsXihsZKaAK6Dv99L10gOsn0H+t2pA2PsT+oJNQGspyZQN2Yb+xd53+nG ajCR2kI9meM6sMBj+KOX7ZtlPKsxHpK35P88Y/KyOjWA50dSYPePdWoG68em wOKltmNlnZqwwutLNWCN7V3lecuMr+s8b6Nxfp3x7xfP22wsX2Xs3GybNnj9 Co9vNFZv8bw1xtctngd+su8GvzPPj6WoAVv9Pmvq4P1qn8m+4BlrNrkG8LzF OA6ugP3g/nZ+Bi/LfR7YW8J19PY+u5HH2GtH+4C9S5iavAfPj6fA7gr7dYnv lfPAjmaeC163TbW4D3ZxF3XrT/I5DT1eqgPNvRd2tfJ6zgN72tsmsLdUH1p7 XhOfyRh8CX4ET2I/sBFca6i7+ZP0fl4DTnbyHl38XOnYJEbJXXL4sFRbJ6p8 DjhaqgNdvb6j14GZ1ATqQXef38f7sgeYCR6Cr+DlQK8HC/t6v35+rvLcPrav r9efkQK7wUnOAJMG+OxB3hdb9vJzD5+zh++yZ6qtUdUex769vYbz9vEzZ4KX Q2zTUD9PT4Gz4PIXKbAbTJwq+TwFjn+ZAivBza9TYD114psUNQN8n5YC68Hr b1NgPXhdwk18MCMFjoP14NNIj89KgekXpdqaVKpRg/0O36WoDeD+zBQ1gzoB rlNDwPoa7wnuzbemn5pAPeDM4T6TuPgqRT2gbi21nSN93nm+t8tTYDNc9yHp K/w8KQUXBi/BVjB2lvGTugBe/i4F5wYLX/YansFw8HymsRdMZo97HRP9vRfY XuLT4PBc65Pd/nOKM8DNXXJosPA+6RtScMhq9X/i9v2S36fgX21yaGLnxhTc hxh8wM/j/A7H2t7+7iM+p0hucmyM9L1T7wb6LonPPR0j9O1rvw3x2HjvM8ix w9y9HDuD7PPz7Ych9vNg+2Oi57L+LN/Vb1J8m1GDhzqOOBM/XOX3WCn9T/uz W466iy/bmRcM8x6Xpajj+PZK+3dVim84/Md9XF3Hh9fYj6M9znxiDA5CvIGL 5D/4gZ+vta/x7fX27yn2I3EC/8d31JH10utS5F4r+xHsXi15xWvWSD6zz06z fyt8NzenWr/daP+O934D7Ktb7JMyvjVSYAF+u9W+2yL5KUWeb5Rs8JrNkk2e d67H8eNWyc8psGCi98Nf9bT/NjlwYYLH8fWPkrWpljPeZJvJvzvs8wZaVz8H dhALdzketuXbPAcukDcP+F23p37mWp54t+OIuLjHscE59/osuAe5hB8+TZE/ 5At15i8pag1cCT5ELk5yPBAjnXPUfvjMX1PwG9pZ/SnXcltsJ5475eA/cJOq HHnLM23Wwn/w/98cA71y8ApqPmd18jPjj3kO2AMXBDMqHCPNrIkZavuTKXDy VylinTZc9z8peCq19okU/KDCcfSE2+QMuQPuwduf9J1Qm1kLv0XgwZPdx75w 32dS1HK4L7z3+VTLfeHE8OFnU7Tp5/lp741+xrYx/qz3meq92IMcfTFFrpMP 5MVon8OcabbrXynwAf2UbQMbXk21Of16ipzmLt9NtTn6vv1PPZziOOXuP7av iYsPU2DzZN/5ttaTHUuTHVu0yUVyFszl+2W2Y5Mcf9xr8c8c+6iR+he6Td88 t8GSt1P4Hxx6MwXG7KD5c+2juV6zn9fMt//53lmU4nthvp9pl2on7YXuZx04 xR0Q/4zVeC6abw/wH97ay/+zQPfOEZ893GZ8XKF7zxFfp6t9pfGOOT09n+ee /h8Isd7L/cQ+OcCdw8va+Fu9rds7+86rc23MtzY/IMc6ee2jbpOD5FyVcxAb qn1ub/8fZqtjjW+0aa65qx1r4Cj4DNbCQ/jOJL/gUeAamAZ3Wu+54Cb4Od5j ax1Lc2wnPqJmwFVG2IZevjfirbNzv4vrF/agu7l9lMfIj2rbzz1sZ9/Azal5 Xf29+bhjroQTtIk9alcL86Vx0lf7fyM7yl8H5MiDx9iviD0aFzFGf2/pcxx/ u6l9vmO3u9rdiuB6/aQvUv9ibFN7P5/bVO3yIrhnB+n2RfDTSumORfDKHaQb FZE/XaW7FMENq6R3KYJjNpfeqYi77yzdqQjOCN/baD/sob5LdO4Pap8gPUGy fwo+sLM5Abqd+0scC3yudH9z/7+hpedU+pk28djWHOvXvtPhjkP2gacxt9L7 NPeew7y2o+OZuVU+t710B/OWcs9p4nWVPheO2t5zdtY7tiuCm1OfqeOl2k7t pv6PyPH+rD1Eeqx9MRLbbcMY7XFgjno4XHqM43yi9Fm+q+M0Z1iOOtywiLgh ZvpJv58Dt8eq/7IcfO156T45+NZQ6YP9jrtJ35IDq3eXfisH/veX/iRHjegr /WoODN8/h63YSRwdYvvPxt4c9bunzn02Bx48wHsVcY/nYkMReDpA7SnOo5ul T87BC56TPjEHNxytufu6n2+fLb7XD9T3To5aNVX60xz151LpgVqzXO2L1e6v 9hK1J6v9YY56doF03yKw+DW1X8pRo96Wfj1HHb2VO/O9naG51+bgL8Q0PAOO AceBC8GP+B8UZx5BzjrGweelHqP/B7fpJz7gbXAy+Bo8sMTR4HLwO/IQjsj4 KO/FPsTC0UXEA/wLPkp943sH3jypztl8K4DFFY4f6sYSjzc2Hhxk21d4f743 Nztml/h9mI/PqIvUJngi3BK+Sf7DF+Fb4AW8k3Ge4ZDwSjgg/BBuCHbAI7k/ 7hHOBl9bZJuwB8yCU7KOeKK+gtXkX5tc+z8CNN/gxFlDzzndudrduqljlbXl bl/iOyH3W+ouWxSBVbfliEtisq362hQRdxeq794cuHKe9A058OVw6aFF1Bh+ d7o/B08lR69znt7JfeTguHcTOzm+C1trfqsi7nsUtheBEYeqvU8RtYoYf89x frn07caZR6QfzsF/j+A9isCal3PkM7l8rPSoImL0pBx5RU4dz50VwYGOIZeL 8NNoyWFF+OMoyYgi4vJosKIIf5MrrzhfjpQeXkS8kjdvOnfAm/85d97IgR3g xgvSL+bgtQ/i5xzYuav0qUVg6Ec58AvsIl8/ds6S3587x79mP85Qe7H0khw8 chpYleN3swXSC3NwzW+lZ+TgrJ/lwDUwba70vBz8dY707Bw59J30zBy/E3LO Vz6rRnpRjt8et0j/nIOnrpJemeM3wGXSS3P8lrhGem0OvvhuDmwFV9dJ/5jj N8bj8EkRubFcsiIHp9wsvSnHb4m/SG/N8dvjBumNObjyNlpXrwge3AAfFvGb 5EMaz0XwrFQE1oPzh0kPKYI/gR/VxpBm0hVFcKgzctQVagp4DP6CvWAhtQSf niB9IvVefdfnqFXUKfrG5+i/IgfXhFcuNu6Q15Ny8FG46DU5sBVc/T/wr7SE "]], Polygon[CompressedData[" 1:eJwtlnf4z1Ucxb/43XutVKJUIm3tnZWRyCojWyXricxkVWSkSHsqqx2RkAft pBDJ3jMhJCNZmb1O5/vHeT7n3Hs/d73XLdW6a4MuuTOZzGSQA8bFTObslMks C5nMw2AxegmYBl/FgOXwpaAxejp4Bn4d43+DF4T/CyqCwejZoBl91dAl4IX5 3ooexvd0sJO2dnzfACPhbcGr8L5gCHwEWARfCFbmeA+vw58EQ4P/GQR/HrwF HwYOwG8HT8F/BCfhlcDT8LmgKvw98L7GMmcN9jMB3Rl9AtSBPwdaw//M8V7L MOav4D3rbMfBnOAztoU/SH/x7Bm19mHwU/AemtA3GD0cXiC714eE4D1/BP8Q jIWPUxu8G+gN7wN6wW9jjl3Be3gEfQN6C3wruB4+lLbTwGb0C3xfBI/Dl7L/ TvBrGbMp2EbPom9B74AXiv73xuS5NMdOsB00R38HusBb0V+CbzX0Xr4VwCD4 D2AbvBwYAP9WdwYvDwbCv5cP6e6z5y/Kdx0oC/qjvwRnMPfAaNstBtXQDeRH 8KPgrugx6lsE8sAr687h88AHsqXuUHcJhsBbMqZY9g438N0EvoI3Be/C35EP BPvAnYz9BN0xeM3R8DEaA28E3oaviPZ1+XwZ+BrwBbwfyMv/bdC/whfI5vAW tBXh2ws9IDoG5Pvt0Bl4TvLeW4JjtJ+K9s0HwCH40ejYuR/8DT8Y7cv3yQfg +6LvvkWwrXZF37Vs9jv8j2hbNAOr4euj77oJmAy/jPXXwbvrfuH30nYMfhxU UCyjv9bawbbaAr4JttnW6DU0t9rWRq+huXUnOnsNdNXgO9gcbQPdveY8EX1m nVUx9At8AZgaHOPKLavAjOx9fw6/kjk3wHsE26oYenmwzaagr0Cvhz8KJqEv Qa9VrIDP0Beh18C7gdbRNpOt8oKJ6AvRq+Fdg3NBcfTK4JzwqeIavUqxEGzr 16Jzk2w+Hn4e/SvgnRRD8ALJtl4IcifbXLb+WfkBXjC5b7/uLNrn5GsTgmOt a9Z3FHPDo3Oscuto2qZG5xTlkvHo0vBGIH/0HZWDz4iea698Cj4NPAZvCGol n0lnOQVKomtrj9F3oFymnKxcrJw2W7kMLMc2U2i7gP6a4GTwnbSBj9IdgpLy G8VadO6ZKB+RL0bzZbTNlK9G80nKIfBZ0VxrfAwvzJxL0O1BbeW77NyKyemK 7+izKMfdzdjG6Fwgd/RZGkWfTWe6J9kHZPs8fEsl/6Ox8olzk3OOco1sWCfZ J+QLmlNnbRhdG3TmyxUvIG+0z1VP9gHZXjF0fnJMKZbkQ7JNc/rzRduoYbLP ylfV1iA5JhWLiW9ddJPoveaAlFyzVKvmB+e6VtFcOa8t/U+g+wbboF5yDMj3 A9+Lk+fUXIqJ+vCm0X0x+izNotfWmS5NHqM+5Yib4T2ja/X24FrUG707uCaV RfdB7wluuxp9TbJvKgeoFuwGM4Nrwln0VQIH4EtBxWSby9b/BPfVjeYac1Vy DlDsb9SY6JyoXDgruBbtj+aqSXuic6Ryo9ZsLx79b8/gWrUjurapZr0M78Aa pbN3eFNyjVRt3IY+E10oufbIJ+fTPg+syHHO6hF9R7ob1VS9NXIlx7reHGPR RZLP2gEcic7xyu16I9QUT66NqpEro2uMaoty4Bz43OjY05qVk+fUXAfByOga pVw5JrjWd45+C6jmqxbWiq7dqolVwCv6J/iNUx3+JhgV/CbZCC/PP/uCa6Zq d8ds7tH+9Pbonr0bvUE0dkT02vpHc6uGqHZojf7Rbxy9bfRmO0f+DI4E5/Ci 8CrgUPCbM8JD8ttLNVp99aLPqjF3JL9R9TY9DPKj8yXncr2h+kW/Cf5/CwSf TTlXuVZn1Nr1o//VHmT7l6LftvKB/wBX7oPf "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0ulWjkEAwPHnFYosvfSKFN6yfOtDN9I5XYIL4FoskcqSQotdQvYl7Vkj pA1lTVJZkvzm5MPv/Geec+bMnJknuX1n8Y5YFEXHKCCMF7GE5cRJsI5ckmyh kL1kWBBn0HiDluhGXcVqhsw36b6wVjNJMGy+Rvdrlj7VPL0d9tKzulbPabbe 0xw9r+v1gr4NZzK+qA95xGO62Ox7s+br/XBmbdUXNNBLPwN08oC7dNPBaw7w hj6e8JxnvKSUFu7wijP0cJp2brHSnqfCPepJXaE3dZnW61Kt03S9Ee5cazVV azRNr+tiPaEL9Xh4H72mKbH5d4tptS7Qq9H8I1bJX44yRxOzVDLDEf5whd8c 5ieH+MVlfnCQKSqY5hJtlNNIGdvst5U9xt+ZZJwJvrGbL4zxkc98Yhfv+cA7 RhnhK0X//8d/0aNd4A== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{297, 296, 300, 591, 582, 583, 581, 585, 584, 513, 587, 588, 586, 590, 589, 514, 593, 594, 592, 596, 595, 515, 562, 639, 548, 580, 533, 578, 532, 579, 512, 299, 298, 297}], Line[CompressedData[" 1:eJwl0ukv1wEAwOGvJqWIaqsclWNCt8lVhPe9stFBkatLlCtXDblC5SzHD6Vy v+7PM8/mxbN9/oBPcm1LWXNYEAQh9kUR544EwVlaKKWZtyxwhp+U0MQbfnCa eYp5zSvmiGWW+7zkBTPEME0RjTQwxSm+U0g9dXwjmq/co5bnTBLFBHepoZpx TvKFAp7xlDFOMEo+VVQyQiTD5PGExwxxnM/k8oiHDHKMAXKooJx+IrjFFZZJ I5twFjnPbTIIkc4djrLEBbK4ygqZvCeOd8TTyjXaSaCNRDq4zgcu0sklurhB D5fpJolebvKRZPpI4ROp/PfCCqus8YvfrPOHv/xjg0222GaHXfYIMUkfTVTx IOzwtQPl+j07 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FVsFFEYgNGhRYIE1wcI7u7u7u7u7u6uxd0KhbZIcEIgwd1dE15x1/CA ngkPZ797/002OzN3N0fPYS2HJgiCIKmXqMggiI4Igr0JgyA7OUhDWg54bzUX rVNxiWf2f7lu/Uc3UsO6JlWpTjU2mFfWKlSgEhVZb15Oy1OaspRhnXlJLUUx SlCcteYFtRD5KEB+1pjn1jzk5Lh9Lj2hefW5FtGTWlhPaVF9oeP0tI7VMzpe X+pEPasT9JxO0lc6TS/oVL2o0/W1ztLLOlOv6Gx9p3P1qs7RazpP32uU3tRF eksX6yddqrd1id7RZfolvPf6QFfpQ12jXzWxPtKU+lhT6w/9zVGO2G9hK1k5 yjHzYxpLHNmI56n5ad2jSfSbXtXv+osnnLLfrYnCM8EKVrKc++afOWm9Sw9z l/P29zShRvLB+op+1CyamYUsYKfZofBMMd/+hkZoAt5YX9a3mkkzhufQeobu 0AyannRMYXJ4XeYH+Rl+D06E16yB7qcFLWlKc5qxj+Th8yIFyahLbepQi/rU Y5PPaqiNaEATGrPZvLW2oRXtaEu0eQftSHs60yl8RuZdtRtd6EH38LmZ99Le 9KQvfYgx768D6McgBrLNfIgOZTDDGcZ285E6ihGMYXR4BsL74ze/g3jiiGU7 24hhK1si/v8//ANLJYwb "]], Line[{939, 743, 747, 751, 755, 757, 824, 995, 1033, 994, 1018, 1218, 943, 954, 992, 1220, 993, 990, 1017, 1216, 941, 953, 1211, 1194, 1195, 1055, 1196, 991, 1217, 942, 1032, 1209, 1210, 1193, 989, 1191, 988, 1192, 1016, 1187, 986, 1185, 985, 1186, 1014, 1206, 1037, 1182, 950, 1181, 1052, 1180, 1179, 1204, 949, 1203, 1051, 1178, 1177, 1202, 948, 1201, 1050, 1176, 1175, 939}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1229, 1228, 1401, 1584, 1717, 1630, 1716, 1631, 1718, 1657, 1890, 1658, 1678, 1677, 1586, 1722, 1723, 1721, 1725, 1724, 1587, 1727, 1728, 1726, 1730, 1729, 1588, 1732, 1733, 1731, 1735, 1734, 1589, 1737, 1738, 1736, 1740, 1739, 1590, 1742, 1743, 1741, 1745, 1744, 1591, 1679, 1897, 1680, 1659, 1892, 1692, 1891, 1585, 1611, 1694, 1693, 1720, 1719, 1850, 1519, 1403, 1233, 1232, 1231, 1230, 1229}], Line[CompressedData[" 1:eJwl00dTFEEYgOFGF9YcMAdEzOjZKhOCGDCgwAIKeFkx4ElP3sxXvRir1AOY c/wpZoyYxQhiVtSny8NTb39dW7szPTt59RtTGzJCCM20JkJoIZ0ZQlFWCF2T ISQIdCGDQvt/+MsvOvnNbH7wk6985xsFfOYL7XTwiVl8pI13fOA9M3nDW17R ymtm8IKXPOU5z5jOfR5wl3s0M43b3OE6N7nBLQ5xhPXu53D8TX2kj3nIE1ri Ndrfo3OosU7rLkopJtNeFo3WTRxlLkl7q/QYx9nCWnubdS/7WE03e/W6lHl0 N/fghPVJtrHOvFX3cyB+D2l7a3QZ86k1b4+fpad1b3pRwEF7C6izbtDd7KTB vEP7aYn21T70J5tT8ZlqmRbqAAZy2lyk5fFcdBCDORPPRCviGegQhnI23pum 4rXqMIZzLl6XVmqJjmAk580LtUoXaQ6juGBerNW6RHMZzcX4PHR5PEfNYwyX 4vnoCi3TsYzjsrlca7RCxzOBK+aU1mqlTmQSV81VWqfVms9krpmn6Mr4P2KT d6aYqeSTQzZJOr1THYn/79c/aWxp9A== "]], Line[{1400, 1352, 1356, 1360, 1361, 1362, 1363, 1518, 1656, 1849, 1655, 1847, 1654, 1848, 1674, 1846, 1653, 1844, 1652, 1845, 1673, 1843, 1650, 1841, 1649, 1842, 1672, 1840, 1645, 1838, 1644, 1839, 1670, 1687, 1643, 1669, 1642, 1886, 1885, 1609, 1884, 1668, 1879, 1715, 1837, 1836, 1878, 1628, 1608, 1883, 1667, 1641, 1647, 1889, 1646, 1629, 1610, 1887, 1671, 1648, 1688, 1651, 1400}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1QlYzNsbB/BK3UIh2kQbpaIoicryjbSLVm6yhlAiIaRC29WixaWSRAoh RdctUSldSwvN0p5ppmWmmd/U/KaNKy3/3/+e5znPeT7Pc573nOe87zlHx/eU +xEpCQmJEqr/f+wZPVBHZIrAV4H+nuTv0K2JKnR9KEJwkFGg2Oc7jFyLTA2/ iLDXmZUrzBjDovaKiPPDIjxhJU1H9I3C0uTFFSdlEpZnlM2mN4zCJnZO0gtz EjbySRMSOSNoe7PpYqkHie7j9jdc5o6gtGjY8a8TJOQes/f43hyG203Dz+1R JI5f2Fe9RXsYjZJc9TW3ScS+VFfdXTyEaPch0/oCEtLHLBt0nYawsyK2/nEl iYp9RjIr+8W4GalzkfGVhPBCWIpCnBhdV0ff/N5OwmH5nd7bDmK8f7dUcWYv CSujfNkds8RIOLfyPE9IovZ+TYN2FgmWpj9nZIREjL76aKw+ta/l2RZrfpHI NNM0u1cigtTiwiLPCRKdWiqWVnkipEfszzg1ScJly96WwVQRJH3mfo+eItHr pdRWdlkExrByw81pEolLDOWzA0UwrPV5XkS5JO5qXWOACNlSUVfqKNtNbPoo 6S9CTWiiLZdyebvntNkxEUa64/KGKe/fsWaFy1ERJP5rYvj91yg3mj77jfLz i713Lx8RIa3snqcC5UKl4r6MwyK8pI/kqlOOShGl1PtS6z2yGNCnbOtyKHTq gAgOj04am1M+WTojx3S/CH0LSs1fU7aaNNi4yUWENoZChIWkGEbnE6/5rhfB yF9DroRy+8OVHtmGIqhlpDabSInhtMk/cEhVhH9qr52XkREjUlS7NDB/EHuK vcf8ZcU4PqiNkA2DaN5WJH1ophjFu9i63cwB7KoQ7SKpPDTZ5xnFnBzAjzCP bEV5MXWuQ4Eb5AegYnutQkpBjILVodtsw4VoOrvXfTblBT7++TdGCfSzzWaa UvMjKh9WVJ4m4GO8OPIiFW9Z9B/rA0cF0OP8cCOo9Vdoaqg7hQkwqSw/I05a DE1p+WK5mQIkxLk8kabyNx7nvN0jiA+ZpXdZE4MkpGTKZ7LZ/eBNXipT/Ubi pEtZmdKuflg8mDUn+BMJNTPvc4HNPKi8dfAzeEHVc52Rf9BuHlZoJcnsSiPx 3OKF1EsuFwVqWtyFoSQmDt3z+BLCBdHSPpO7jQTP06jZkN0Hm5ZstsYiEl+W DURtce+DJA7/VOGK8LkpSs6msRduYQHWOs9EaGwceRPk1Yu6tPnMBKqOelNt 05b19aCn93hvrpEIpVVjQnpoD4I9I9Ne8QexXcWkiFTrAc279un65EF8Kdyp fflxNxZIB64aNR2EV1vcey/rbhjsvfbtMH0AzOXTm970cOC9aXzBHCoP93ue fJBN4oAxr//ZcbkBpPG+ip5u5kDHuuMTcV+IMlfNQ5vG2ZCLTq6aXCfEL9bd O+2X2fiRk6SsXkTgdX1WLr534YtWRJidHoHlHuVZCyK7oHB27nvLOwK8MlSN Yul04e2x8ksZigLIMVeYODexcGaV5YOxa3x4vGcmLM9gwepRjwtTkg9W1emC wydYmJ+8+3puWD+8PCOKfu5gIffQdIx+Iw8tYwvsDluzcLJOHHt9GQ9KH98k /u7AgnGlXsOpKC52+8ezJo+wcCtfJWwrrw8f66avZqazUKP35eXBHX1Qznw5 ktDJAmdjxR7Jd724xeuPtjbpQvhDO/5W815kca96rb7ZhaLcgLlqZ3sgnbn2 UuwWNsh15Qovqqlz/fUjYbsMB35Zel5PNLqxWWfLOeYZDo7ncC0D/+CgKqbk yFmCg08zZTuvTrBRvsjVtNevGyESibxcKTZuDBf/LeB142Nc170rWl2wuG/u fPZYD5jWOqdd3FjouJ8eniXogca3y9Ob074hPp6TW3ysF+EmovGcgU4U0JZY 2Pb1IqB6mcc/7p2wi1VZp+fTh9BsAyu1Tx0wnGO7+WhDHx7XuHoaOHSgVskw 5+A6LgwbKutMP7VD4VV94pnHXCRbnljV6d6OA1PSGxvm8LDdfaoqQ9CG9x56 2wICeZhY6qoxO74NRdWSj+JqePjKkgqaWN2GKgMMxytS9+O2ucbe3la4hE3b i6n78vzAidXWma3wSIkr25bej4i+ltX27q3Ql9QIl23qh6SBjnBqbivWq94a 1p3Fx59caY3njBYkKaaO77fiYzA2sr34dgs4Sq6fjx3hI/HmhqfXDrdAceuW tu4Eqi5OlRq8Xd0CtYWeAfsK+Qj6+EaSP6MFZw3ua/h+4WPPpPbet63NkHyf t+WggA9x0PIHg8+bgVT5qmopAfa9OZ+0ObYZA6Wzzb4tFECz9NieFz7NqKs6 7ZBjKkDrlbRUL7NmWAgPMjbaC0BbU7JmXL4ZuVPajpI+Atxmy5w9xW9Cnjxz 48pAAQJG89Ze/9AEZbMDv0+EC5AS8kRsktcEeX11pczrAmy8YNzUFt6Eqa3r ZefcE+DGv8E39nk3oZjeyllXJEATK/XMnbVN0K0l67ZWCnD5/s+fgcpNMG14 dsK7QYDUFbmC12NMGNU5Fv7ZLgAn41O0bysTjm1sDXmeAOarxYYbSpg4Q2aH ho8IwFucXJmXxkThTvdHuhIE6mx0Nl+9wMQhOSVbFXkC/EiPmDIfJix09sYe UiXAK/hcvc6aiYD6MZ76EgJpXfZr+XpM5MTIVjsYEdjo/HJV9Gwqfqel0sm1 BDoNQ72chhmY09p9Zb41gZaed3aGHQysX2Z5FI4EImQvz1asYcCYI7tg0o2A U+w24XABA6qV9kL33QQWXs93qk5nYPhBS5q9L4FUTRmP7REMfNNNN60PIFBg HbxB34+BtwG6M2vPEsiw1Gxfu4OB8gjdD07hBBpP3q44bknNj59S9Y4hsM12 j2KhLgNLyhzYvxIJPJyc6/loHgOb//WN2HmTQOD1D7T0STq8LZy8Xe8QcDZu 7zwjpONnw498MoeAmKPcY9RBx75XQi2rfAK3nCW2l9TSoZ2f9HNNIYGQCPnc /GI6tEKtMpJKCMRtc9yx/C4d8yrg5VZJIKlja/WiODr+dCoYivtAQOGvSyEH QujQfxLYbNNAIFtGKbvrMB0vWHGWcQzqXRyfLHd1o+Nhkx87pp2AjGBo52ZQ 8XtOVIyxCew0iohKXknHghPjCVwugZGNi19paNFhuyk4+4CQwPNlux3p8+hQ 3m+ifFpMwGbWb4d9JemIV737gTtGILIybIXNCA01iU/9uscJhDX8Svbk0aCe 9/T6qWkCdD/fT6EdNHT/5h6fOUMITpUxN6uRhixpheQAWSF0bEu/C2to+Oqs ZRUzW4gry/xSd5fRkLvHvNxirhAP1P2C64toWHsy5F3KfCGU5t7J0n1MQ3KV ZWGashBT89yGtt+jIcc/sd5dTYhbjYpfzTNosJ4IvdigLsQL1dKyj6k0/ObZ GjRLQ4jzGx6vHkqgYV94VcJ8LSHU00bbRXE02KVUx3+gfG+2a/bUHzT0zTa3 CNYWwmh3SJtWLA3tZNhnNR1q/1n+PLdoGgKvPT1TRtku6d/MnkgavHUWG1su EWL5PbnB8Ks0cDR3mfxNWXvel4SlV2hIGyi+bbxUCOH8UQNmBA1TCoLoB5QX 9Svdtb9EQ9mFMRZLVwgHy+3p0hdoaNBT4U3rUf9eV6mh9Dka5nU4/DVLn/oX +bWOEcE0pJgYcgjKX4VHnfWDaPBok3v9xkCI/wGq9sHf "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Qk4FesfB3AqUZFsFboqEk604MbtyJeWq9z2LFdpIUIhEtWlRYulrqId SVJSkiVLiKIoFc2cYztK2R0zHMc6R1T/+d/3eeaZ5/O88/vOvM+8M7/5roe2 uU+QkpJ6zx7/P595qnNOnssgsPbtIufLI1DjpVUF2jB4szd/vbzBCPQbtUnJ HgYPpm317Nk9jDWcj1rlQQwS4zPyC5OGkLT5dNK3iwy4XSqtC8SD6ByN2Gue wKD+akPuwp2DUPFakWGdzsA9/5dKQdUAfnudWPeziEGGXsqJlTYDGNxoqRFQ yYD8wTPRe9uPa492FyXVMlDPjiclG/oRWUqPRTUz+EfQZraqQYyPLy8/PtfF 4NOvdQc6IsTgBMmsb+plcOt2634xV4zhCR+lYwcZSMl5O1xo7UNx/03pAgmD YWrBnctb+/A2+sZRyx8MYsJ77r14I4JmjPKCDtYKuu7ntTNEULOqmBnxk8GF k1n03VgRNGY0bdH7xeB7xaxHZudE2PM8lF/GWmpWeEynrwi2t9cb8li75EYu rvAWofC3mOAW1lkOfXIpB0RIj/y7VMzaQ/BkXpinCF2rv7hIWM9Z0swN8hBB 6r8hwf7/hgg/g83iZFmbNo3FOLiLMCNnurEia6P41o9/uokQd3PcWYv1FuvN LnquIoRFeJ00Yj2aMWQst5et59vfsGD9g3hr3b1LBB31xcEkazr/Wv+rdSI4 9yunuUpLMCGq1DHTRATu1mV6YtYeN3rW52uJ8HEsX3x8ggTDuqMJtVNEsLu0 9k65jAQD1zIHPE704l167MT9chIU8xNqJw/34EydS7LzVAlmTa5/ctavB9NN j8qkTZNA1Xp3f3YfDYf6efnb5CWo0vAeO3iYxspnCrazWM/gHGv3L6IwUrh4 gSdbf0Fx99SSaRTkwo36bGUl2KTx5mirazfovNjAcvZ5YidJLw1+JcQXU9n7 TeMMNl2NkBguEMI62D0ydpiBXEab+/2oLlyanDzTtptB8XDoxZDyTjz7IDv3 aCODaz9WFxnJdqK6OsTImN1v+/6Vd1De1oEPr0ttonIZXOwN67z+oB1DxpQw LpFB44HzPGPpdqS0Z333CWfwR5Wcq59bG3yrL1Sp+zAQpSoptVS34s4JJfrM agbjNfNLOBNb4bhO/3y9GoPWxGXZ0WtasCwn9bNd+wjueezboHulGelqPJk/ MkZgGNhvZFD3DTtjY5LLgkbgzXB3WSV8hb1c/b9LuSOQtivqMDvWhKqep6dL x4ehntudXuf+BV0G0bHJacNYaPFUJczgMxq9TJh+h2G8d3iyff3kRpy8v6pk 7q8hFJgpVjl/b8C087G82/eHQPvbr9WdxJqZuLjWZghWzwPKONr1KFDs2ry0 exC/+c8+rrq9Drcu/qqYETmI4JyrkQ+u18LDV7RyVGEQtywDypKKa9C5xzbn XcwAXAMP5ff+4ONr6O3f56kN4PKubM8HdnwoHZGIY2714+GrIo7aKx4UhBud kub0Q6d8h3+uJQ8FF/acfZ0kBvX60my9TyS83x3I2aMvhh533uSlfiRMrXfm fJ3aB6nDajRXlsSjZ+v07ap60Z2Zd5b/nMDL988c7WN7IM336ek8Q8DcOyWd d4jGy0cctcJ9BB5mMo2ntlLQejT3tcCJwJYXn5o/W3ZD7cj2XUpuBCoKjkWY mwuRvKjbxyWUwMg5s+wXkk7c6HHYWVxKYIXjwHHXqg4UzK9XqdMi0SNPZwzm tsOVq/Er7CaJk65nRyZmt0GX2ZPcwOFhg/N43I9Xrbho+yhWWM+DQbmChmFr CzbOfCjFT+BjePf51DeqLTiYI5+YEFwDrm2QLn9tM6iYxxJRZC04Ny4Fn1b5 BimBEjOYVYfg0R2+qSVNaIidtsSvvx7C2sxpaRe+IEKqVzNnrQDHFe8d0wj8 jLfqVHpcWiMao47qXg9uhHWU06yYuV+gYVQf8CFegOqLwXRqQhPWrZpU25Tb gLJ+132b9nwDz/SPWVZqDYh5ZRAt2NuMma9H5l06V4+z1n1/C2a0wGfcOsp5 Qj04V1p+aZW04E7Rsl77qDoMz+OoWHm0YuPtfGPugjrk1wqnj05tg4ud+ae2 8lq8aNn41jS1DYYbUs+s9K+F/KosUyXLdrgNDF1ePLsWGYtqPs3saEd4rLSp oLIGgRlZvWqnO2D7tWS68FwNEjs0DmdM74Q1R6aZs64GLzhlfYLoTiQ6bmu8 qlyDcsX4ev7kLmT7H+eZtvHx4rNVuKp/FxrWau63KODj7zviyJVEF55mmxsN XuXjWLvBRAVdIfpyQiYXHOYjR2z7ZaufEJtDT0dOsOfDZjsx3pIthKafU8g9 Ez7cPxpWaI4Lceu3qscOM/kY2kU8/GtFNwKF2xf4jfNw2CTxCePbjQiL23W7 OngwfH88LTS+G3lybVkPCR5kuC92Lyjthm5nYShVzMO04yfcB5u78Y/vCo+a JzxwV0YsbBrrxqbauub5CTyM+Xh9TFemkLJ1x8b4Szy4hWlXKi+kEGZh1qAc yoNZ5s9Td5ZTqCT/eel6hAfZjX51H9ZQUJLe33HQk4cGB0GYNLvPx0KOJqnu 4mFoi4329Z0UBguPVths42FxAV1Q5UZBEhRfM2jDXj+vZmmnN4UdZ37fMpX9 DieZCVYoHqFgb/N4zWVjHsKO15g/DabQFKCS968em+e1qXTfGQoKoStfD83h YTyuwmJXBIW7gfVmL5R5mJJVer0kioInN/G7QI6HjLzmZfevUAg5Mxr35y8S evK65xfcZPMabJmxYRLJKfLbtsZTMPe4MjLUQ2Lq+KuH5okUtLUttxq1k+DT amkd99g8vV73pM8kZoca/+6SQoFpFJkmkSSMfVo5Ox9T+EGrnhK9JZHyKWnu /KfsvOro2vMlJE6Pio8UZlFo9K1SdM0loVGu+MUwl8Iiw8j3oU9IVPv/eBXy nMJB/rHclmQS++uTE9LZ/nO3c5m/ZhyJpFtdoWteUpCxSK58EE3iX4Kz9nkZ hfS7cgdPhJNQD16SNq2Cwgevo9aJJ0nErR8UW1VS2JSk6SsXRKLS7YfY6SOF YXcv5PmQ0DrnaPH3JwoZiVqHAvaR+IPbIJ7Mp2Cx/FvSTScShU/an1yqo3Ai p4+jtYWdN991tV9A4UbClPsTbEh4fLO/tKyJgon3504rSxJF3OodW5rZ91u+ b++H5SSyndz6mVYKzxTFjjeWkNDUUW0N76AQbVDnlKhP4s+gQzrSQgpnDyco ts8ncSS6KMGNomDwlUsc0GTv1x6ok9nD7oc3j+311Uis/jnxTZeIQumbsAQN RRItgXNWy/ez69G/VoQpJDZBf6fWILsepU5J2xiB5yvVN9QxFOYtvvEuqo/A hvlHZJaOU7Bc/sFfr52A3ZbJt02kaEznFpgnCAg4DjS4CyfSSH1ebNH0if3P FjeP2cnSMND3s66vIGAivrL+1FQaC6urQkJK2Pq82fneCjR2n6z2e5lHoH6k yEx7Bg2d2++Ptj4jUNaZdF9biYbpsR39GlkEptyfcVxTmcafLctNPJ8SSGs6 PySvQuP7e7fYyjQCutGztzGsO1cpT5j9iECMQY6lUJXNq9F5EJzC5sv7pZNq NAJefuINJhOYmX6+6dlMGoWzTrWcSiKQdKVu2uVZNA7sXF01KY5Aa/672Ys0 aCwr3xxsfZXAfgEnPGwOjWjnyBSdKAInTtQIHmrRsHYs7okLJ1DsY995bR6N Mi/Zh7fYvmV0+GPbNm0amxTeczefJDA/KXkvoUNj89e9zz3+IbD7/ZnkRbo0 ZtZdMBAEEbDM8Wr0WEjj5m6vwPgAAtKVS7rD9Wic1Vn610M/Ai36D+wv6dPo PRymefsQgcCAQhmadablsEqcL9snU+PD1hiweRWPWu/6EHDZpzIcxzq8etw8 05uArbrwoIg12e7gknCQwE2VG4UbOTRmVYseXD/A5u9fb/iIdabsjCu3vAi4 Oj/rllpE465yX+4DTwKeW2rV7Vlb7Wkw4bkTWLXepnGzIY1BwY6FTmxf9r24 xHiREQ2hnm/kTxcCDoGpq5NZ5wm7vmuwtusPVRpgfZfz+nvJXnb9Fl69Sotp /A/NA4yb "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFVnk01V0XVhJSSbmRRqmkFymF+vDQS9GEDKEic5RSRNEsEpnu5ZqHa76I a86cWYWMkajM472/kFSm735/fWets/Z61jpn7+fZ+6y9j6j5rQtWKzk4OLrY +3+21VuIk21U1KO1hH0ibVCUdz5jxedlHCWtkBfWskH9LjueibJF7DB/TOaO sIDHr6LZwbp5WPAMdpPbr2ILp+WL+qk/2Fe7KDTveAXnw9uXf36ew6EXfKyj kUaIuFVdv5s5i2MpXVbn2w2gfDTzXkr6DLpNBfdmX9JDx3dRhnLyFA5cOhIR Vn8Blu38xX3RLChtOaDskqWDeLHsDiu/cbwd7pa9f0cHcTRWJw/PCDRs9K63 DevgyqlbTzz/DGBu3PTr0kpd8H8y3MSh24ftBgv2zo16kDp01+jyuq+oVb9/ dPTSRfhTObbLC3TDd4kkINBmjI6Z23nNkZ+QbrtR5Nk1U7jUjgxLRLehi7H/ Hl+OOZ6a/jZ2s2mB/NTzK3/HrCDPnU5y7m+CsM5+9cJxW+i0LJ1Vv/YBzYwo +4PDN8Fjsn7mkW49ggRSjbh970B1rl4xL7QGL3P25HPbOSM6sCKlTqoKIZto 76aOu+FJVaNzKW8FnDhNpV9EP0GpaJp4VHE5blhwX3atfwaVNqkxe79SjNbc Oc5S9YCPwWH/ea9iuKiQCi02e4E2ZLL8MqUQFYa1HfMXfLBGnz7tN16ANR+H ktJW+yOAM88842w+fDp8BJRogZgxzHONn8zFb+3SbLl2CtzMR8K4EnJw316a z1qbiliv8T1Xb2fDboWwreDOMDiVf/5joJsF0TUxppGnIyFI/dKZoMFA+WTr tidfY8Ag8ZId/8nEfO3G3VOGNHQUy/gqdb5G7vPz1b39cbisfWOmj5IOxneu LXn+CcicdLBPuJoGrjt33fXMk2BFbLJvUUwFaVN+d92VFNiYZ7/VFEpFuBqN opCQAlLTkVHOaTr4Kmw23p5IgbfBsafLDXR0KuYaOMrSMVppeUAxhY7EgEIz 1Qd0SF83DyUn0OFMErsf5E6HoFRv2lgsHWL/TseMedOho1ZiqRpFh1ZI+icV Mh1cjU/t7CPo8FQk/ZoMpiM87H/r/7bcpOVvbQgdsp+nn6mz723o2e/xk31u BafUjym23+x+/kktth+yj3vrGTYPh0LjuTQ/Os7y91UnZ9JR2fojiceHjoWy 93VcBXR8bbYtem/N5i/z74DYilRc8PwU2HCCjvfSufkbz6ZiE0d207qddGis ljvfHpIKnyX6Rr/5FNSV0IvtBlMxQZ2JWmhOxreGeKIx7jV+iA2LrH6ThMSa 3tkdugw4nRmSasxMxLFVW4RO/s0Czxda/+OCBEj0CjsNv8uBvqw26WJTPJLb Eun7avLwqarMdUokHtttaMsKHgUY8hiqL3GIw/T9nJvy1oXYNsshdOkjDVLC eY/GbYtRK5G0744cDacOL0OIXApxldB/0hJjMdGqVH3/ezme3VUW5eWPRYuv 0MPZsxUQN74p+nNlDKju63ctV1ZCw9wwQPJPFDzo/YSObjVyAtqYM8uRiHd9 tVC3VAOp7c61LzdH4sywnw2ptg5n1JL0jyhGYPjJlhtv6e9QU/v8HZd4OEJG dLw87jQgQ9GhQf+fMJybVZROvv0RZ9Bx4O6pUGhabzferNuCxvkfZT2xIbgc 8H0wPKMVfdTRgGLuEPQqRYW/29KOxJ63LmfcqNDcrefpQ+kAt1vLcsPfYEh3 V/z2FOkEebbZ+IVHMO6tXUGIvu7CUPgx03qRYNDKtUY9NbshOKu2sCs/CKtC olSWl77gqfaRCftLQWh/qZhsWtSLEykKwYu8QYjhzTq9+v43zEfpee6roOC4 lL/ejsjv8JrqdT/1hAIBufbDCa59oNmMR9SdpGCfmY1YmUE/ZqseHtgsSMH6 ta2qew4O4MijTV25HWTkmTmr6ZgOYk20tcqfODLK9tEOb3w2BEv7f4X1npJh HIERXothOERs72m3IuPVwgPmOYUR1E81NHzVIuP79h7rzStGsfzrVXW/Mhly NpuXBktGMbhVyM3kMBmkdj7a4+tjkNFwKP0iQUZ2csXpsbXjkBW7Hk3sIaOY fM/OiDYOQulP4jExMioSQhmHJSYgbDQsZb+XjKMtApK/GicwxxkpJi7J5vcm 3F/aZBI1+wLmquTIcI/fsxz5ZRJCshqyBWpk5FokdwlpMCGhfs7bS58db2+z kVMiEw1WprIt18g4t2LAzXmWCTuawstjj8h4OmQjW3uMBYEm0ynnYDK4tHjX jTmy4DKkrEvKJUPekpavkclC+O1x8dx2Muhhlqfp31hwaI8f45wjo+DIY/mZ 1QTm+F5WVIlQ4E4q9KraR+Ch6OhAGSgoirwv6qRCIIRD1uy9FQUWcSft9+gT uKhlaVT1ioLtoWvfV1gRIFtYPfXNpcC100uT35FAy8fASYFeCj5zKYWnPyTA CE1dr7w6CFWvs3m3eRKgh4hNrpQJgvPM7+S6VwQq/LXVVcyCcMfr8XwFmcCU W2qxJCUIQvMh2cdCCEgaDjFKaoJQVCpj6R5OIPmH8pGR30HI+bxXsi+SzffD j1uJksGQZDxM9owmQIoQlZu+GoykrpYtkTEE+NMckt4FB+PV5Z5hlVgC6Ydc rs6/D4ZE5YC5LxvXrTi0mMVBBTeP8Z5gNl6n2kOalKNiVd2vb9ZsXBjdVZFi T8WxG7/WrGfjKvlet5EEKqQVJMkUtv8Mm/61KT1UVPfNXVtix7/S9dJtXDAE jLTm37psHPlOvX3gSgjizBcir0YRMP9x5Vpucgios1w1F9n8ja9n6F6ZDkFG 2P4LyhFsfYTuxDelUJx2NGkQYuudObgyU8k7FKIljPLhUALKbc+V7nWGwnv9 IOdrdn6sdiQ9WHEoDCd9DyUqUgncSVuwyPIJw5oXO7mqgwjY1koVeI+EYVH0 xmY1Cju/lGCNALVwrAt5/rg0kACngtNsdVw4/IpXMWQCCEwvtrkcEo7AxtNF vSp+BDSv6Cbd9o9Az1SKmQa7XiILOj+9eSKxXnPM5pQ3ge441+5n7pGQe/1i pbIXAW/otZtwRCEpj1tWkl3v1mBH6nBEFE5KN3wIcSfAw/hSZ3A8Gg8zRqJ+ PSFgplDhXPglGqRPgR4ajwjwNoulCj+JQUnoQSNfNwKBKg/EWzbEYn1F9dfe ewQu7JQ9zWkRC4EP1gOizgTO7K6RTs6PRVMSVcmI/f5GzP4oV/DRsG3RpMrd gYCQRJOeri4NSYqTF0VvEhhyNrkwEUGDU1zpZN51AqeN5eg+QzSUJM7ZqtoS +JkrUSMnE4ffYo0FVdYEFI2PyqqvjMcmLMq8NSVA5WA9t+2Jh0Ke6Ja7hgRS dPIPtZYlYMHKjPpdm8CH3BKfNHoivg26dHNoErDfveGFzHwStjk2FqQqEfjP jYEuW/acV/XSNi47REBKxYM/s5k9P4uj38rvJaBH0jbX1E9D9ht37U3CBMr+ qKrfnkiHufm+xXNrCAQPKjibpryGmYYgxwAngQade7pj1zIwG27ha7DIgueR d6s3SGWirNfELeUXCxbpd8vbfmaCTs2gdxEsHLAQLDutyMCtxm0njCZYENc3 8mE9YiCAEPf6MMzCNf7dP/UqGZhKCHE52M+CRI73Sr4DWdCW+RZG+sJCE1f5 9keULMh69+V2t7FQKRH+jH8kC05bfvHuaGKhL73n+ev/ZCMNm1TO1bPwj0D6 U4PAbPz1sLK8VsmOf6SFX2FzDraGGOirFLLAU7Lz7YOoHPAQSs1j7H4VNO7f uVU8F39/tUpZJbHwoJZvL19OLhS1zIeyI1m432lv9kI/Dz9c1EPtAlmQbfVs HfybhwfXT1wb9WCBW9FsdF18PshjjfZSriy88VArHT9XgA37RZjHb7LQ9sDj Erf+GzhZdkfXXmLB9RszJsOsEO92u5r0aLDwUXKacsuxCK2HWwufHWVhIcg1 q/FlMdZMLB2tEGXr/+m/SzWhBO2TVIHYdSz4NpA2HCaVopA5Y+zLxdZzQKQw ybMUS37tDPtFJnjyuwyCf5diY/j216rs/l0oUjI+Y1eG5vSpaV4mE3qG/6rP fSxDR65WS/UQGwvaWJ04Wo6EYNEwl69MGL15KtwUzv4PX++t2t3JRGdygJcm x1tEf5dsqv3IxKqZFvG//m/RkN98j1XExLC88sTWXRUQEp/aymTPjx57xkND RgXWaX5jNAUwcepZ4jlDlUpw3O5/FePGRJVDnVrVx0rY9XDp3rBmQjT1Ap1P sgrRNWePFRkykdWh++rziyq0D3pf4D/DhCtlzxvSQBWedAiTbikxEbRX1Ziu VA3jaPeFnoNM1Lx4fJfqXY3ARZ2Sc3uYsOE9O/uysRp+C+8j5UWYOHCn/cES fw2+Osbck97AxH8BKmfG1Q== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1gk4V9kbB3BbCKV1LCH70lgy/Rtp/vpmSZaYoVKy88sy9hb56S8pKg1l yxIpGRrtiyZ/0zJR0YJzVCJCi+Jea5akZM7c57nPfT7PfZ5z3nPu+573avhH um4VExERyWb3v8/GfZGWtZ8bMGd1sKbn0XH4a0T6vfzSgMiwx57yKePwqxpS 9tJqRKF1c0/S/HG8fnv/ZJJ9I/6jJlWzsmwMfuUCGe+IRtxRd5MXrB5DwYC7 +7P8RpyQ8bxw9ckoup/8oBVf0wjTImmDmf6jmGhomw7jGzFPrDw3enoEdJbH tTZpAsFa9WKF30eQEV3uZ7aI4L3+7U9WP48gvUTWvXUpQXUWDTs28BGrBKUN gjUE7QOl5zuPfcTki2M2PZsJwg5kqlnZfMTDfZc3R4cSGE+Ex36dGMayNrtm uXgCjcGRHcHXhqHn71V6K4NAdk7xl56AYZgGKf2uW0pQe0LoHb5oGHXuP33x uEEQIitMM2gdgsHSPaFRdQQNq82aIwqHQDxMw3a2EGTqtT8uEwyhPltvuy5P 0CWu8+mD9hDOeTyoDPhKEHmmbml28yDau3am28lRNN5UrtKJGESVoqvKgDKF 4gxTpbXyg3AwL0sM1aeYNt6/oqdyADpDcVaXzSi+aswrUdo8AP2gTp9tayjC dWeNJIgOIGbDmdtPXSjm3snPeHGtH4bKBZojnhTJJw+Uz4roR8eSZ3v7AikM Uk+uNzPpR022m11rJEXHe4miw+N9MDC6X0x2UVSPNYm41/RBPU/vjw97KHa+ k+dkjvVheryq0DSZ4sqPxnIqoX1IWBC6JyKFok5WrdrMuQ/Hm1wO2qVROEne svda1ofo/hlaD9IpXgVO1AmU+1BkfdilP4siTaqp30C8D3dP216uyaGQ7fm4 /7d+HmqplrVRuRSBcyQc1/TwiI9rl1LKo+B0FggV3vLIUNc+eJP5T88LOaId PEJ2VLh75FNYhmw3EW/lIVtzePJX5l310UVJLTx+kCg5Gsdss9feTpJ5t7eY 0mFmqbOvDA+94JEVc+9lBnO91VMje+bC/H8viuaSKAsZ5gBfW49i5odaxVqP m3m8XCGmXM58yyZVMZU55Of8jErm72zJ4tnMoXXRU7XMhk6v/dKf85gg6V4v mHOjTnfMY17+DUURxym0O79YriA8Dl1P9xUtoBAftVHY8ZjHSMB3lUeZo2vE P95/wGPtce1KpUKKs9+XBBlV8wi8aqJtWkQxqOQRXnGJh4vqtILYKYo1v1so 5xYxy3+fnFFM8VktVuGvIzxSRjWk352m0JzIXCm9l8dc28/8VAnFSIS+d/A2 HsKchC6HUsry9o62iw+PrVqZX/XKKIReooYbnXmYqek4FzM3pf7mYA4e0aaH S+4ynwqc6/fQlIfjlMTlTOakfaMbXujwcIi6oa/KnC1b77RyEQ9JI71gMTZ+ T+qmT3QWj8SRuIYYNv+13ZNJWWI8vqVplqWyeP+62mBo+JlD4nBh+vqTFEt1 0lo3DnPIyNvU08LWbxbVqvqc4+ArGbBAn+2f9Q2Nfbu6OfBKx6kDy5f5J+jC ea85XKxbLlORSeHoN6U72sah6ZL7jDcsH6/YD1qvb+GwMX7NLx8OUahO9x57 9ZxDkfilmKb9FHblCzNcn3E46/ys5SLL9w9HRS0TnnIIG1vgliyk8NiQ5fcT 88vS802eOygkDb0XBzFL7V+weSarn5xF208NMtsKIs3uhlBYvHqucoeNR6aS Ow4KKN53ilncY/MJXlS89PGhCKbO4cPNHPSMdGUct1CkV76f/V8WX3lLTLXD Rgpjvc3PC1o5bH0zPeDzC0VEvspaGbae20Gxrd4OFPpbSEVnO4e7XQo5e20o FoUYP7zZwSFcTMHt/iqK3py5+oVdHOb1rpw0NKdQSJ8xInzDoc/xqcGNZRRu JWcD17/j4B4fJAgwpniwbuMR3fccsnznV/iy8ybLoGrdyh4O0opXW1M0WbwV 9gFWbP/PbV105ZUKReRa1SmLPg69buvkPBQo5OTHzhgOsHjqe/8vMo/CP/Ta 8tlDHHZ7JKXUs/Otoi7nzBv2PZ+YrxbzlqQoaFIZ1h3lsC/4q8kSEZYf9dI7 3MbZ+LJjd0wmCUaVpmqjJziMWOXuDBsluOE1M1s4ySFnxtCSjgGCMttLByK+ chA7l9D2tIdgY3Ns95FvHBx+3F4r9ZYgSCtePl+ER5h4sfmuVwSPtnlNprF8 I3ZXixaz81mjrCArQoLHidLkby6UwG+ZsnGTJI+iknTZrkcE1z/c1Vg4k8c9 QVrhvXsEFxcIfzaX5bG3s+Xl5G2CW88ahKtZPud8eRybep0gNLP+ZNocHtL2 Br2j5wmMDmRUHZnPY+HuHgV11j8Wb3GScvyOx7koIf/lBIGW2x25h4ps/s9T GrG5rB+ZdZ+ezerF2kVR8QDrPw0xzVPqqqx+2hbmKaYSVMYlNkgs5uG6TuuS 1kGC9JvffG+r88gLP+QnTCLAOq7ynAaPv1N1a4cTCebaJfemavJoW687+7cE 1j89VY77a/FIHni8x5r1u+X9jsFG2jzaN3FZx3YT/Ci6oq6aOXqF5aEJIcHB uAZrV1bPRbc+XQiNJbjSUq/Yzmyx+oL3QAxB3YOmRF9dHjVylZaR21n8qZtX 5erxeG66+MCaKALnDS0rLuuz9Z85/S44nCClrHPLRQO2fwVX3tJfCdqCdtpl L+HReLryiTCYfY9YPzfB9zzmyMeeNQkkMIm/G2diyCPyvLOPhoDArkvuaTfz H39W37bzJ1jb3XY4xYjHp7EzVqd8CTY57j2qYszjo1rVhKYPgUTCqrxTzA0t hdueeLF+3D1mrGDCw/7o4I08T4LYiV+vJzI/etBjnuRBIBmSFfyaucHVzNJp C3svdJVyWsqj/K3L3xbuBDZXfSbPMo+/1r30C/ufuJXvJDLFnOSoOuftJoIZ f77p02TnoehIy6P/MdeHz3S2Zf4HiJSzHQ== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.2550000000000001, 0.8499999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.27500000000000013`, 0.8699999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.875] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVVeXwNHYsNdo7NgLlijBEuSiUWNBBLuxF1SMBUuwkdh7F0VFY7Bh VxRsqDxERUVURBQUpPdeRAXbOGu9376zrpPl+CXfzDcz/vXWb+27z9373VP2 2XefazR2ej/bwgYGBg2KGxj8+++iBe9a1l4ephtzbaluhJm70tV72iP3gQ+F yxX2frnC0k94SO35FU+fOySM/k8/Pgvz6ewr+jD6MPow+kVOvArpZxsg+jD6 MPow+oMNS06e2fWh6MPow+jD6Btfrjrp+0Ghog+jD6MPo19oesMJRSY9E30Y fRh9GP3UTd+cSTCLFn0YfRh9GP2Bk+t+e+dGrOjD6MPow+jrfmjsfsoqQfRh 9GH0YfSb1mrZamtIkujD6MPow+g7vTA5OXd0qujD6MPow37xhZ4Nj/FU3t7/ vsWI5HQlZrfpkolTQ3QRDnvLtBq3Q7HU9bF5vuCeMPeDD64ebta242VhkxOr D5Uou0XpMe5CesqBNKWue/lbu1x9hZGfMdNNud8iU+xFH3th7IWxV9se9jtu nPzr0FHrddWM0pY0HeimVLKJKxZpe0TJOP7i7unCacJDVry1dF6bIe3BtMf1 X+3fbOpf4Yqy75v5ZRr8mC7M/b5d5xLaZd4TnfHJowON7e0VpxNBzdeNeSSc d6/kwkc9HwifjFp+oNN4f2EZP3qeUf9Fr0ATX+FJAQExN0p6CvN/l2z6x6XM UV7y/8D4b+qw+Uojq7PCkWHHL16YoRP9VgUpT1b3vyn6MNdfrxv300H/68Iu D7OHTAu/Lfpprb5KXX8pUPRhrp+24v2gdhn3hPftXtHMwCBI9H1jyicPuvtI 9GGuL+2w/kjcqmDhOX23NrldIUT0nbfVTqwT+VT0Ya6PbrLr0AmXJ8KWhfc1 2lI/XPSn9DCOT8qKFH2Y68+FHT7ocDxCeNPTwVtOuESJvuvb3dlDFseIPsz1 3X8Me1AnMlq4wGNkhS31Y9XnF7LfvlPJePX56Znr3evGWBeZFCc8fr3tJofj 8aI/2/1oppFToujDXF+9IOl+UlaC8L0JU8oN+y5JHa+rT08rVjNFHV965vpl DzOt7s5LFm5vMWuD4p2izg/662HmE5kv9HIYOfeHGU+MN+8NobP7XfAT5v6s lzDrH8x6BrM+waw3MOsHzHoAM7/DzNcw8y+MP8x3zBdyf/34Zb7zW6lLW2gZ b858B/M8YK53O9tqmIFBmsyPMNfDzGew49UV1+ZahJiXWxZ6JmPyGuGnA1NH z7q1Vzg4bPO9xVvPC1s4HD88ovkV4a39x8cGpd8Q9nedEWhx8ZbwnnDd9DMl AoU7Lu0+wW7aA+HZG+9OXVD9kXB50wHj2yx6LNyjS9jPXY2fCscljRn7enOY cO28JLsy5pHCz+62ax1jEyWc3/9129TGMcI/HjI/5fdU5XEtCnvcd48TPr2o W8tj4+KF7xYzbOPZIVG4xk+WJzamqdwuqtzpHb7Jwsvb9jee/UuK8N6LX7f+ tbf6f2eW/unYkHcql3KqdWpMcIbw0ITRzTqtzFQqzeznP7/3YVkPTbYuKDKv Vrw36x3XS//Xs/R/PUv/17P0fz1L/9ez9H89S//Xs/R/PUv/17P0fz3T/1k/ 7a+Uqpz2PlXkrJcrpjcfvfJ7b1k/GS+6C0caj5mYrtqflnYgMvqo4l/g8dVv J45Ie8MPVS5pUfvIR+0PbuQyPXNjutLR49D2fiMuKunnr5xu0iVDGW56xP7R rxt0XN+vTMzaVTfclVmrms3rE66u/xZnyjZ8viVDmWwQ66jrfVbiAemf+ngD Zn7KWDGsRp9MH8VjS4e73dzU+GDz3uIZx96lK2aLxl4fce2mxCsuZVd5nmpw Q7labc+dAyXS5f8Kb7vM6+KZTJlPGf9WpS+n2MU+0bW+ubaHbqCreeXS8/xq lFPZocXpb2xfBgu7t3jeyePOI2HmX9qr2Nd48xuPByIPtUqecjIyUHhmVJdF mRtvC6dE3bq1tv0dYeIVmPmc9o/X7zC9tuE1kZvW92i0ZPRV4Yw73V2ajj0j HBPQr/lYj7PC9H+JZ/T/947ym4/fKe6h9kfXQfGG4T4yXiR+0cvz0scFzTl0 Tdiu2MzoXe/95XqJV/TyP/ovvGd4565wyXN+Gc6bg+R6iU/08gPD+8T3eamO r4hJwWmj9ofI9RKP6OXzyw2L/drwibBnjZiUJmfD5XqJP/RyK99J0ZHVI4S7 Jc55Pjc2Sq6XeEMv39zx0vQBzur4PeXz26wRU2Lleokv9PLXlXwz2tdR58Nv XJbndM6Ll+slntDLbdNvTa11WB3/S2etm9HotyR1viJ+0Mvv+91PK/StOl+m WzpllSyeKv2b9WnSYpMLpkueyPgscDbIt7JXefiF9pY7hjwS9t83pdSiySrT v2nP+PqBkbf7PRC59xP7P6ItVLZ4YRM/sJ+/cM07F8c1dFCZ/g3Tv2k/qkyz khe6+4q8cAfftUn1VF73cvz4Fwkewl33mozZ1tJTmPmO9prca3qhIP2yzGcR c/I9d353Rdh4XmmTjv5+wvvsh1Z9YHVbqdkr9Xg3uzTF+sCBs5PdVDnPg/WE /3//vGcp/h/mQ6V9QKO5LV2VH4osqu85O1PiE/SrW5wY+s2v1yR+ce15N6pW v20yPs+v7dhhTvVFH80H3R4mt06xuaAjXoGJV2DiFRj9W3UCYqo13yT6MPow +vDwqa5GhoH+sp6k5I5KmbH9kXCj05k/RPo9U/dr53VWjV7HCN/ftvJ1eMVE 4amz+x52apYqXKp/1YG9umQKP9qRucjgRLZwg1X9Q8Iu5ArPmnO+xfnrecK+ E2os2xL4UrjCoIVPp4bnC4/uFtu6Z9Jr4VMmP65s8Pyt8Pv6x569f/9emPXK c4DR47odshT8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/+2u Hqji9Gu2+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7Xbtlk YFHfHPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8f+hybOuc Ys/Ffxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8X9V8VbByb3y xH8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/HffPaZSsM3vhD/ YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R+2rLKj06WFDz7Kr7Le rwpqvL3JqScij7k57FWvzCjhRW71DxYqHi9ce3mqzYXaycKXx3m8m2aaLtxi 75VHFQ9lCTtuMjLOOJMjHLBw+ZLb3s+Fq09PDj3g/0J48sg+rRY9fiV8oc/p 5cNiCoRLdKoSbprxRniw8bw2FQveCeM/zPOX/bJ+/1S2VGze0LAs4etzJnwX UCdHeG5c8mzz8bnCLW2meroffi4ceyUrt156nrC2f2n/b228gZz+BtPfYPob TH+D6W8w/Q2mv8H0N5j+BtPfYPobTH/T5tNZb2HWH5j5GGZ+ghmv5POIJ8m/ l8ldtK5EYKbsl9lvE2+3C9tt5z78uMR7sMSrdcPbGFl4CG/4ZfHU2h326dhf cD1MvMh+ATmMnPvDBb0n3dMl3pN85K4ib5yc1z4U7hB7zaLPh30fHHJ1bfpX l8KEf3Ht7+IVFCm8Rrd+f/u8aOHQk9n5lQrFCTfZM9A6s3SCsMP6i27+1ZKE /RxrvT3YIEW48pTF/Re3ThMePyz+yHCzDOGhBxsY1GyQJVzo90HHDJtlCx/e umrQy1Y5wtbrvArFf5cr/Gpp2vGg758Luy6oPcSnc55w91nWX5388YVwxuQl J3f1eSnsPNZz6Or+r4TNf0ooMmdovnCcTTX38aMKhNf17DWsn+1rYZPOjsUs fn4jHN7+5OkWM94KL20dNbzGnHfCzZtULGH46/uP8sc8T/ZH2v3KfzUfy3yw 5OHdq04t02T8s59j/MOMf5jxDzP+YcY/zPiHGf8w4x9m/MOMf5jxDzP+YeZb bT7Z4WibKSWc1HxYkFeYkV++uw4OsFiyMfiGm06bz0RuZlqx6v6TWcIxkR7B 5UtkC2ft2zaoSq7KzpbtKi+1zBF2K/eN88p2ucKWF736521S+SfH3Y/yFzwX Nmhk7jTxkcrlk+tUmeKTJ3xuy9WgJ9+8EGa+h+kv2vzdhk6LZi7u+HH+cpXP 8ijLiemy/9bOn+T3JB+ln08lv62fT2HmU5j5VJs/1O7ntft1bT4U+2Q+1bdf dkX4D44rzgrvGVBoe+CQXbr/7/lI4i3Gw7oxJuVCH92TfMsk093rD+WrHJS/ bdaarQ+Fx5cb67lvicrEZ7RXOKPpmKEuISK3Dx1Rt/Nxlcueb3j35bUwYdeA 7DLlz6hMfEd75scuevndjhT58W3p806GqdzQ6yenM/nRwpnXfTy8s1QmPqS9 Tp4NSrq8iRX5rCPeyeuLxglf21HPwq5CgvD6/atG/1JCZeJL2gvbknbOunKS yCusWuHctZbKY+akpNVpmiLcfIl1GeO6KhOf0t68GZ7jihunifzUBKsfXpuo /H7gmZ2PLTKEb4+u5hXTTmXiW9or3cS8RKRRlsjd6pV6NaSRylbVO+3vbpwt 7FnH3iOgscrEx7Q3rOq+kV4tckSeV2G6lUkblX833Jtv1D5X+KtywYaH26pM fE17x4oVO7utw3ORdyv08EA5c5XTXxWxfvtDnnD/d+1GL1VUJj6nvfw8u1Iz ur0QuVOW6euUnip/nzTJLbTvS+G96bvOjeytMvE97fWMvzvG0uaVyGMjXWz8 Bqq8NiTgjcewfOHs8PelOw5Wmf0B7W0P/vZC4xEFIv/2/rtDe8eo/MSvdf+N E18LKwHjxlUZpzL7C9pLvLat7Fd2b0S+2HvsO8epKjc9t/XI5FlvhTdeunkx a5rK7E9oz9Qjf3zE7HciDzzhN2DIPJXnHnz1vtvC92p+92jz8gHzVWY+Zv/C /LuiaY5niK3KzmkPTcOts+V69jeyvjr/8rznUXU9sRw62MFqW45cz/5H1tvC +W0vZ6j6Bn5Pz/o8yZXr2R/J+jvdcVbLtiqfazMyr03tPLme/RPy4eHvz7jO UXnyH9EmB8e+kHiM+VWbz9a+n9O+X6O9qIXWL+1Kq/lJ4jniJZh4CSZegomX YOIlmHgJJl6CiZdg7CF+wB4Ye2DsgbEHxh4Ye2DsgbEHJn7j/THxK0z8ChO/ wsSvMPErTPwKcz/eT3M/mPvB3A/mfjD3g7kfzP14/839YO4Hcz+Y+8HcD+Z+ MPfj/Tr3g7kfzP1g7gdzP5j2eV9P+zDtw7QP0z5M+zDt8/6f9mHah2kfpn2Y 9mHap56A9mHah2kfpn2Y9qhHoD2Y9mDag9GnfgF9GH0YfRh96h3Qh9GHuZ56 CK6HiVfZP7D/hNl/wuw/YfTZX6APow+jD6PP/gN9GDn7EeIt9gvsZ6hPYf+j rf/k/T3xM3LiX5j4VepL9fEnTPwIMx619+P9P8z7fZj397SHHEbO9by/h3k/ D/P+HXu1ct634x/X079hrud9u/y/+vfp/F/I5f/U1N+xP2V/Jfle/fOE2R/B 9A+tPvEI18Pcj/iD/gPTX1gPYe16pH1+2vUJOeMLZnzC/J8w85G2fdYLmPkc Zv6lP8DImT9h5juY+Qpm/uH5w8iZX2DmD1hbz83zYXxrmefD82M887zk/Zk+ f0g9LvlI6lOpTzZLuLbc4cM+h3rm7H4/3kiyz5F8pba+lfwu9c7Ou5cfPHUv W+qjexsaxhtVypX+CKOvzdfhH/lN8r0w+V7yydRXkk+GyT/D5HNh8rkw+VyY fC5MPhfm/4P5f2DyuTD5XJjnAbMfZb6FGT/0T+ZX5kOpl9LvPyW/o2f02U8i h5GzP0QOI2e/hxxGzv4NOYyc/RhyGDn7K+Sw1n/me/yHmY+Zv5kPYP5/6sOZ X5mvmV9gnjf12DD12PRv+i/jBWY8wIwvmPEAU/8PU/8Py3qrn/9hbX01+Vfm d8nH6seX1DfqmfcxjC9tfQ33Y/xQDw5L/bd+fUJO+9r4hvmF5ynxtX48cH6A 58l8y3iiPp/nx3zKeKX+HXu06yfzLeOfenf+P+Il/v/oVoUndFqTJfYQL9C/ YPoX5xWY/4kPWK9g5gvOF7DeYS/zEfX7Wzs3NLk1IFXWV9ZT7fsJmPZg+jeM PTD+wIwvmP0tzP4WZn8Ls7+F2d/C7G9h9rcw+1uY/a3Wvvknmy+MbHxPeVG1 x67gPikf7a82jvDoPXHqM2XP29lBrTvHfLRfWGVf2X/dVnU/4HI2cOCgdcnK X62/53nAS9qcfNN37k1Zn9GvmBW+J2hcluJdLGdrcefHsl4fDP86ucLCFKXH rrY1CtkHKXPNHlguXxejtL7oHNh9cawS4Wx83SDQT5d05OvRtrOylU1fl7sw 4Wyw7tXX5XpsWqvmd/7R+n/dhorbvSqlKdp69H/WeYCZrhPcV4elSHwe7et5 f3ZKshJ8y25tfmDwJ88LLC/eacfcEUmK729LavpkqvW2/+j5gfCDiV3WFEuQ 8fqoWkLejiZxil10N/edL9V62z87X8D46pU+b7dxjVhl3dW3S9bvjpX4/1b3 0w3ynkYphU9Ydj74Nk4xLDEq3tA2Svn5xYqQZ6P++vmEFUoVk2+bhCnaet4/ O6+w4XrhGIvUh4q2nvfPzi9YbszZ0DPsqm7JxlcmqxpmK9cHWB3oUixQ92pU nN1tgxyllWMN48gZXhKfMp6GrLCwGDEuR3lcpervBuUeyP4h/EbIhdhZT3Rr zxcOfPEf4kW38Q1uV7fKlf0F+cO/+3zE3G/bxxyKS5J4n/XJJtGqfvTukE+e n7A8cO/twIg42Q+wXiSVzqn0qsLH5ytYH+oNWmlrmab2nz87b2HiuLNd4If1 AGb9a+b8tt70Wp8+j1HE3cypj0HgR+v1leBTMyclqM+b9VrOcy3o26p8srqf mJBYuGrLpzmKoU99P5urKYpZ3Z4DMjs9UN52yxhU+0NctDqqwOT8yChl0WEb n1KOT5XE/qYrtwYlKntuHhpjqgtS2q5vtTzvtxRlVo0XbexnZMjzHLgruG7P 4ipPT05LmlkrTRn5R2whg4qHlLylxx1O1kxTum+YM+jCpoPKCasU0+SeH9an iKMtcs8EKEsL+tXrVjlROXfNbKmv3TMlO7XvxGf74pSlPrV6ps2PVhyKlr0e 0yxCmT6q6pDDUxOULQeLvMs//lixrbX3zPIWyZ993uTrnvMmHfz5rpLYbfOA kJupyp5XY+svLrpft3xihO1o6yzluK1PDbOdT3TH69n8UKVarlLfeEv4Vts0 8a/xHlPHrGJpipnDxaMD+v760XmVT50/saqye2gJNzV/0bx0s1K1lyYr9+od aevR87HEMwGrbbq4J2cpXo+aZFmdTJX4utD9OrqYkalKxqAW6ZetzusMa1eZ fHt3qnKu0ba5Hca760oViyrVNixVOVCx9LLNIb/r+lyuZGp37cP/PbJejVYz 3SQfxHqsPb9UtF/W9qrnj4u/Rtahv7hVdvto/HLeh3iW9tbsK5XRwu6Sev3+ qgsneHkLF2yosdN13U3hJRu2WReJu6H8o+dJGA/c37t3w6MzKt2T9kwtj+WU uXxf+MKyWm5X8h4K/7bs6eLpRiozPmmv5rh9LRt1CBH5oHHx/WaXCRV+3vnE +2YNw4W9Ok8OC7cOE2a+kPqUum1WOU2KFHnPTR0f29eOEt65cI+xZbMY4QXv Has39IkWZn6ivdsZUfYGAbEiT5xWeGlj0zjhdiMnPCncJUH4m4iuN8NC4oWZ L2lv4t3Dtc7HJop8eR//VhF9koQfmbVccXFoivD5y6Vnb8lMFmb/S3v9uu3+ fothlshHFz1x/aC5yiXeRkx36pqt9g+zewkLy6m86sXpVKeKabJfnmVdNSfz w3zS0d15Z5t0T8Wx9pQiKTXSlLiea44ae55Vpv5SvJr5u1TFbs+578Z856O0 fXh2+8SiaUrQ04gVzXd7y34b+1xNDLZMrZIj93N/Xr7G4l4qD0nr4jfNOle4 h3GbTsNqqMx+nPay6o9P6mH0XOQGcbNnDB+k8uEwt5q9hucJ76jh7GTaWGX2 77RnXumWeYMWL0Ru9TD0ZruxKr/wLzmr4aSXwgklC5IrtFWZ/T7tbShsvO19 +1ci3+NrVrvSNJW7e027bTA7Xx0/BSMs0s1VJj9Ae+HZG1Ofdi0Qedpp19kZ 81TeeiSoTvjC18LLkq863+qlMvkE2jOOzu18zvqNyM32Frlze7nKcTtMHc6v fSscHNowff8glck/0J5j4OAdm4e/E/maTZOMDm5Wuc0ql4At298LN7i1+oeF Y1X+3PNqoW42rb2OqvkNI0PPDgdCUxVnz5ue+VnXlHSfBwVbdKmKr2eTyMkx NxSP6SsPGwxNVb5//Hxw35w7yv5Lhxs67PywP1r07bZOE27908+/zZv6Vf8n xVIUq32Vmr0eF/zZ5+FmTqn5nYdhkuRrMm8M7TvZO0lZlnE6efndUCX9WvL0 KlUTlSj7yLL+Y58pRq2O2lS9kqgM/6Phodenw/7lztMt043Mu3wnSvJJ4Q4H T3XJi1R6zhxRucn5L+ft/tXP233u+bqR68/fi7C31SWUWfqHb9Espd5vgbtX mfvqTFpnRJ9tnq2YWOW4rp1ySbfpzeLYvrFZSu7AAZ0i01Ml30b+jfliWEK1 S4Xqpsn7EcOhTX62TlXffy+Yn36rtLX6fvrtKKethlXU97HPS6+zODYvQvJj 5C9XNQ6clnU9/qPzfwV3cvs7XwlU6pTe5Du0Qark9wKKzp2zfV2qElztWtE+ b9T8nsOxiwuSClwkXybfC+n1+8NWddT3kb0vx1vZ/pyteD967HO/l6/k/874 bHjcNTVFKWaZfLfe1ECl/v05jn7jEpTRG+YUK1EtUrl9YN+tKeeilR3l4iPq dI5Thvz84+zAweGK1cCSTecYJSrzbU9kHr8YrFgmRS4cGpKs9JuxvvvJyXd0 7navR4z0ylbW1O/jbT/tjK5wuaDxbV2ylO4la43YWTFEV/PWjsOVA3MUq6eH jBeNiFU6uBw50MU7RvGyCQ26NSxI12/36rxfu//7eSnX+Y3zkpTSi6/5edcL VTY2N2qxIT1O6b+nvm39FtFKUkbINpcdoUpFs+YbbRar73/Jz5H/gckvweSf YPIFMPkrmHyXNv+nzdfC3A/mfjD3g7kfzP1g8n/0R/J/MPk/mPwfTP4PJv8H k/+Dyf/B5P9g7GE8YA+MPTD2wNgDYw+MPTD2wNgDYw/jEXtg7IGxB8YeGHtg 7IGxB8Yebf0K+Q7sg7EPxj4Y+2Dsg7EPxj4Y+2Dsg7GPfAv2wdgHYx+MfTD2 wdgHYx+MfTD2wdjHfIp9MPbB2AdjH4x9MPbB2AdjH4x92vob8k3YC2MvjL0w 9sLYC2MvjL0w9sLYC2Ovtr6H/Bf2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M /ayn2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z92vom8of4A+MPjD8w/sD4A+MP jD8w/sD4A+MPjD8w/mjrr8hn4h+MfzD+wfgH4x+MfzD+wfgH4x+MfzD+wfgH 45/2+33a90Xa+i3eF3E9zPUw8TbnS9CH0YfRh9HnPAr6MPow+jD6nLdBH0Yf Rh8m30j+kvcB5BvJF8HItfURyMm3wORLYPIdMPkKmHwDTL4A5nlq7WE/D7Mf pz9q69PYD8Psb+nPMPk89rPkC7X1aOw3GS+w1Ofp95dSf6X5nhvva9hfUl/O 89WetyVehbXxpPb/0caXyBl/MOMPZvzBjD+Y8Qcz/rT3J56Diaf4/7Xvh+R7 pPr/n/WO/5v5l/+X+Yt8s/b7nLwvo96B+gDqG6gHoH6B/RjnP6knYj/J9zBh 6iuoV6Cegv0h9RPUH2i/B8j+jfa099PWe+If/yfXw+SX6P8w9SDa7z/S/2Dm Q54H8wPtweQDtCzng/XPQ84H6xk5/iCHkfO85fyxnpHTP5DD2vommPO7/F+c 39X+33zvE+Z7n5zv5XrO98Kc74U53wtzvhfmfC/M+V6Y870w53thzvfCnO+F Od8Lc74X5nyv1n++VwrzvVL6D98Tpb/zPVCpP6aeVs9Sr009sl4OI5f6ZL0c 1vZ35DByWa/0chi5rFfk+/SMXNYvvRxGLuuZXg4jl/VNL4eRy3qnl8PIZf3T y2Hksh7q5TBy6t2YT5j/5HyTfr6hnhSmHpXxz3qDvpx30l+vrTd10/kXGXY2 V/Q574S+nH/SX2/gsK7B1sEqDzO26no3/7noc/4JfTkPxfdkY8qNL7Zb5fI7 HyxVzNXzUMQ39F/WP5j1CGY9oj+z/jB/s95Qv8b/y/3k/LGe5fyxnuX8sZ4l ftP3f+IJ4muYeljqJYnneJ7UP2qfJ/V1xBc8P+JDmPpKnif+0R72sV+jvo76 ZtrHX+oztfXN2I+c+zF+yV/wPJhftN8X+FKv999brweTz/6/9j2G/6n6wT/7 3oO2PvBT9Xva+rxP1df91fo5bf2btr7tU/Vrf/X7FZ9b7/ap711o6+H+7u9f MH/J91I09T3a+rtP1ct9qh5OW//2qfq2JY6Hym78T+rXVoSvbT4gIUXRfq9B W7+mrUf8s/PX2vMz1Lt97vc6/mp93Kfqp/7V6uc+9f0L7Xn2z62P+7u/n/G5 9XOf+/2Uv7ve7u+uj/tS7/al3u1LvduXerd/Vr3b312/pq0v+6v1Yp+qz/ry faUv31f68n2l/73fV/qo/u5/+feT/qfrBT9Vz6etb/zvru/Tnr/Rfk/rc+v/ 5HuQx4Z5LcubpfvcekBtPaX2e4H/BoJk1/s= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNludvlmUUh8/bQUsHbW2RQhFKW1ss1sp2I86qBQEZVUEBQUELSN04AP2g xr331j/ArTGOOOKII3FEo9FoNBqNRuPe+vvlXG/SD1ee+7nvc85zn/m+k1Zv WrSxJCK+EKXiADFT7CZ2FA1iB3GomC2migpRgvxhok+UiRGiwNlBYpboFUPi NNEtqkQ5stU8bW+hWCBq+F6tGCXG8N4I3qvjORJ780S/qBRLxGJRj1wV3zla DIgmcaro5D4rxHLRzN4k0SYmiLFiHO87sdfOc6JoIUa+41qxRrSKLnTa8X8W sRribIpYL9aJDr4xGlsbxKCYTB56iefeYg8xTexOfgrYnor9AvEsR6eC92Ks q/BpAv70s1/BWTGuC1hXY6uKWNeSiwbkGnlfzLqO9zH4MsC6Ef1R2BiNz2OJ fQtyDegVY9GCXB93LOV94jAf2sjZGuLts5XD8lPMWVHOOd45sgZ2Yd1GXjrJ SRc6q7A1ntx1IzOHXEwnzr3c7WAxl/wMkucuzpyjMvI2E70C717vSW57Intl CH3rzUZ3H+Qss19kTUzjfC9kfLf9kXH8XffN6Fl/hrgQuencdS73cP/0E+vD I3u7DPrwo4J1JTGYw7dch4dw37PQL8PGEcj38V5Jvge4277crYfYHEhMPQtc i67Dc8Qi9s4W87Hj3j9ymKzniHvfNee6bGLvKPab+K7PPSuWsTcfW7a5RSxF vpqY1GBvCfJLWddzPg+ZeuTcCydH9rl7/BhyYd2tnHXg/3Li4Rpey34L+669 4yLnlGXP470Ze8ey9vnxyJuV2Cj2Q6tYHVnTPj+f9/F8ZwVrn5+AfDt36sDG KvZb2bftE7mz9y7gvZW9k9A167DXxdrz7fTIPtmV5wbWjtkpyEzmrKi3nj1/ exw+bkTX++7rzZG97b1N2OzkzP1+LvlwLrahb133kmu6h+8NobcZ3W7y6jpz nr8Vt+Gz9c6I7KmnxKV893bxHbG4U/yAb7+Ln7FdqkHwH/H4R/wROQNujPxd do5vFl9F5vhW8Q15ulv8hJ+u8S3c7SVxf2S/Pyvuwb8/xcX48ov4l1jVFFJn Bt//izvYRlUh933HQiHvOVLPCnGm1uV6jiik/x5ql0TOrkF8moIPrl3X6jJy 4Pi7d93b7p1HxPOR86tadh6OnFu29zd27sUf+/KEeDxyDjreJYWMue97H748 gG9evyBeJEcPilrtbycevxETx3E7ubtcPBY5W43nmmea55lnkGfF9eIzfHJu 3FfuI9/9Se7vPLk3Wsn9tsh6u1J8gL2rxUfE41rxCfl03XheuIdG6b6PRs5v z8KFxK1e+5fpeZH4UdwVWdPfizsiZ80z4unIWfu+uCJyRn8ubojsh7fEm5H/ 3Vybv0bW59vincj5/pp4NfJ/4nvi3cj/hq6FSurhZfFK5O9KXSHv57s9Jx6K /O16XbwROes/FFdFzuAvxU2RM+5rcUvknPpYXIPfn4rrImfw/zQuyqA= "]], Polygon[CompressedData[" 1:eJwt1OWLF1EUxvE76yqKqH+DL83F7i5UVFxR0WUVV1RU3EWMtVbXfGF3t9gt dmFhd3d3BwYG+H24z4vP/oaduXPPOfecKZmVk56dEkJog1QcwkHURh3MwH20 RTqm4Q5aoTUeYTY6oj0+Yin6ojfW4a6fHYJ3WIxe6IEzGIcqaIiLGI+qaIxZ 3kPv7oDrmIBqaIbXWIju6IYXmI+uyMRa3EIL5GIOnqITOmMbviIb+Vjgd+pd WdiPw65FOSxxjsqtj2sx3fVTTdZgMmo6xk14iS4YgRU4grqo6FjmIsMxLcMX 9HNMi1wz1aontuKT9x6FjXjmXIZjnmuQ6T234L3XjsR6PPBZDsUeTER11MJm vHHuediAx679MJxA8SSEMfxWwjHXSLWpj4deo2fbYbfPINc1SWFtAQzkuiye OAfFrh5ahaLcr8FvZfzEL/RHaRTm3nHvPRivHHOez1y5FOSZQc7pD3577QB8 cA1VO/WgeqkEz4/1ed0OsWfVqy1RjHsHHOtofMN2X+fgc4g9lB9iz99zjVVb 9cRf/PPeZZAk+hOvVYNCXKcmMR/F/NZnprNST2sWV7sWmslJIfaYYlXMO7DX Z6eeuoYrqICmuIxTaIAmOI2TKO//TcFNNA9xRjR7V71WM3gUO3229UKMtUgS a6+YNbvn0SjEGdbeN0KcTcWwy+/QWvXMPqwMsfd1xs9DnBHNRoZjmeraK6Yf +I5S7gHNxnLXXjNyDpdC/FakObezIX5LlOMFP5PmGPUtmxlib+qb9h9ILqMe "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmPdzVkUYhbOLZcYZC0VKqAEhGkAQ6S1BQKoIBIRQRAIB6SWhKIooggpW ioJiQ0DBhg0L9t5QURHLWP4De6/ncc+dyw9nzr17d9+27557v6+ocsHo+bGg oGBuKCioJW4mvl5oLhQK64TGwjNCHaG+8KxQV2ggPCnsE+oJ7wr3CjcI7wn3 CTcKrwr3COuF14UdwrXCm8JO4TrhbWGXfb8o3C1cLbwsbHccHwi7hZuEEqGR Y/xYuF/YKHwiPCBsEj4VHhQ2C58Ltwg3Cx1CypMcPxT2CBuEtrZHvu3MTYT2 5qbC6WbWX+MYThPOEXoLfYSOtt1C6CQUCS2FM82thM7mU4Qu5tZCV3MbodT+ iLebx4qFHsKp9tvHsRLjGqFGWCL09Rjrt3p+d+EMx0VMZbZNvLf6+WChv+Mm 3gFm4h1oJt6zzcTbzzawfZaZ9UNsk3iHmnsKw8y9hOFmajfI9rp5rMR7MsJ5 ktNiYapQKYxyDvgfbcZ/uZk8xpjJY6LjwP8kM/7HOR/83+YajBcqfE0eE8ys H2t71OM8M+sn2x69MN1x4H+KczhXuMA80nmMdB5ZPuQx6wj/59se66tsD/8z zPifaSaPbV57oTDN9srtk/qV2mepazfXdaEe88zkMd+M/wVm8lhoJo9ljgP/ t9vncqHa+eC/xkw9lpjJY6mZ9Ytsj3rMdt7U+yLbpB6rHAf+V3jeHOESM3lc aiaPleb5fj7BeV5se6y/3Pbwf4WZ/lptJo8rzeRxme0RB+eJ888ZpHfpU85h T4/Ru+giGln3iLqzD2gkusg5REvRVLQVHULD0IU7Q9I/9AUtRP/QJvQSjUR/ 0Eu0Fq1BX9FUdAqNRM/QGrQWfW1qf5zNjiHXMjQCjUQX0Zctzov8+jpeeg9N RUfRpkwf2zq+Eudc6LESx9fBPprbZ4eQ6ynr0Wx0Gu2jD+gn+gK9X28/vEPQ +yL7oL49bLfUMWZ6NNA5oB9d7RNNKAu5tnZxbtjo7liw0cdx97KPTJc7O+4y +yOOTq5jpunc0wOc0+Eh183+IdfNASHX/WwNz8+y7xFeT4yDnE+mm0NCrq39 Qq6bmY4O87zunotmrQ3pvC117GgL/UfvcwYuCrk+lju+sb4nDs775JDrKTqS 6deUkGvfWMc6zveZtk50jJN9n2lohXOdYh9DPXdCyDVorufNdrz4RkMqHct0 3/NNcrJQO+QaOjXkmjjD+VR5TaabVfY3xz4m2if34+3zwpBr9AUh16wlrm+F 52ZaOc9z0Y1FjqXa95k2XWJbPF/odWjKypBrZXXItbLG8a3wnmV6t8LxsYfL Q653+MjehaNCrt344ZyiJ4Uh17vLQ653V4Rc3zOd5fkqx0I/rQm5Jq52fGt8 f5Xrwxl+QrgrJB1Z6mdrbXeVc0YnODP0MlrQx/et9THaRngppHfxXtf7jpDe MeSLLqAPaAnayNx19neXc2Xuo64TY495/CHh8ZA0gHflI95HtA0dRD/QJPQO zRitWMqFj0LSZjQLbeB7F31H2/l2ejik87fVPrC/xbUgrpGycW5M35to9Wsh 6XVfjZUK71B/8fkxfbcS752O+SiNzYzJxzHieTHFPVg8RHhf12eLB8b03X2O eIRwUNf9xQOEA7oeJx4vHNL1JPFk4bCux4rHxPQdPUFcEdN39DDx0Ji+u/uJ y2L6xv9aaKrrhuJjxQtjqvXzrklD14V3G+819J/3VAvvyTbvC+8g3k3N/Ix3 YpH3Z4tryHuJ7/Zi13ir64y9e72Ovd/uvtjr/aBnrnZ/FNou75GW7p173D/4 3+kY2I8djot37C7HzrrdIf923xjy7/XN7hm0aH9IevScc2/gPXzBsexzjRr4 OfPqe/xJ122/bTH+lMfrmZ/2HHxvsn9i2uC42rhexa7HK86V53s8p47t13a9 73NtfhCWxlT3o8WzY6plFC+PqaexkZ2DGTE9Y/x74YSY4qNOB+2Tur7lWtbT 8/ox5YzP913XkzX2pfOdG5Pvvc71C+d7osZqx1SbJt4n9oi4ajmGBTGdDc4F 5/gz14JzfNj7NCums0QfnSRuFNN+sc/vuKc6aKxjTOezsfgr71ehrpvEtH+n iotj+m3aQlwU0x43i2kec1qJW8b0W7ZuTDkQPz17wLUv0VjbmPaps7iL8Iau 24vbxfS7eZk4xKRhDWOqIzXsJD4jpt/TPcQ9Y6p1N3HXmH5bo1WH3CuLNPZn SLpYpesfQzpLP/me6+PF37nv/vIa5i8Rf+Ne5nwQI+dmusanxfTbmj2sE9M+ 0kffhtRLBTHlQPx/CPzZwPn/13ax+bdQHZPGTxVXxrR//9c+pvqzr7wP0Orj YtKghrb3e7Cm6PrnkM7/HF3/6jX/CDUx9dPimDQLHeot7hXTfw+/eD1rf/N6 1v4HR/m10w== "]], Polygon[CompressedData[" 1:eJwtlFVvVVEQhe8eeMCDtk3Q4u7uVlxb3CkEAgFKgB9BcLcWd/cAIbi7Ow+4 u1uAb2XOw5dZ69xzz7Y1OzE1LXmMxWKxFMgMRTEl4HCIxSZCVvQn6gLYBSXx ZeEoehKMR/+hLoYlMBb/i5oBO2AI/h11PtyF1vj2cBk9E0ajf1DTYTtUxleH k+gp8AFy4PdQ90JzdCu4iJ4BWdD/qEthJ9TA14HT6KmQXYuDZejd0Bc9EG6j 50IPdB+4iZ4D5dCV4Dh6MnRFd4fr6NkwCD3UfC3z4D7kNJ9bfhiO/kJdCFuh A74LXEXPgkboZnAePR3qohvCWfQ0eAXJ+GvUDVAG/Yi6Ivied8O/pm4MPqcB +LfUzcHX1Bv/hrop+Jra4V9S1wff887mY+jbmlMS/gV1XfA9bYB/Rl0TfE7a +4/UfcHPIA5fAOLQB6Ap+jl1bfA11cY/pa4Ofgbx+ATzd+OhqvkZ62xPwGOo Yq5XwkMohT9CXQ4Vzd/RbzqT0uYZVPb0zgMohj8UZSDRPMPKrp4VRheBg+gE KIQuaD4XPdPelscfi/Y4Lzof7A++xlrmmVKWTkEF84woG/rPE6hp/tsqyIPO rT0K/o33UQaVPfVQMM+ssqpMaq8b489Fe97EPCPKhp61NM+8sn4BOplnSlm6 Evys++FvRWfeyzzTyvIN6G+eeWVd71Qzn7Pmqh7T2bfh2aUoAynmmVfWlUFl raf5t5Q5Zamj+djKVHHzM9NZ6c5oa97j6m19M9W8Z9Qrd4Jnox7+TJSR+uY9 oOzrWSbzO0d3zRb4CWnmd4PulO8wCr8t+J3xFUaY99qi4L0w2Hws9cQEdDbz s78XPKstzPdSmc2F/hv9pox/hmHmY6uHf8M487tMd9xI9LdoLM3hPxYpt4k= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHnYj2UW/vzOKZkaJc20L9pESqKyhPYpLUS7SowyM9dMpplmiiyj0JSP CH3ZlwifLBUKiWZCfSXZ14ikaBSNQss0933dt6vvj3Od8z7v85z3ec6573Oe 369au44tHywUFRVtq1BUFNC3ZFHRPBg/YbA19AOQt2AvhXSCPA6pibHHoHtC LoDdDfpJSC3YXaB7Qc6G3Rn6Ccg4yHDICMiFGO8O/U/IxbB7QD8NOR72XugP ISfC/hZ6GeR82F2he0NOhb0feiWkGuwD0KsgZ8D+Dno1pB7sf0A/BTkL9lro NZDlkD6QZyEDbRdDhpYbGwzpC+kHGeaxQZDnPPYMpAZ8ngMZAHud1w6BlPh9 f8jJeL8PeoXPPci+X7Bfjq33utGQkf5GiWM02M8N4Kc+5Hn7KPb+xnrf9DXG fvi8B7IbsgQy3r7oe4K/w7mTvJ57aQvf94XmTvW8iZBNkBchL0Gm2D74bozX l9oHczsb8ipkBmSa503y2EEfM/0Nvn8d8orfT/dc+vvY469BGmFfDSGTYbeH /m1o7hx/h/6IMeKRuCyDLIQsgmy1j7mQN2zzm00wv3HIx6d+Px+yoNxc4p24 nwd7u9//C7LBMWQstkE+gcyCXIW5h0F2wv4N9C7o/0DehbztPTXH+LWh71wP 3Qyy2Hl6x3MrYexLn+MK2BUhOwriGjnU2fhabYw19h4Ze3KEnCP3yEdyhZwh F8gz8o18WmEMkXfkB3lCPpK73Xy2Kc4Z8bvSeDvg7/L75Nka74EcIkfIAXJ3 mce4hhgmZsmb5/zM9SV+Jo9X+T35VGKf9EUsD7HvYYWfsU68jbUvYnu4ZZzf 0e9Iv+P6Mc7ZUK/jM/k00vso9h4Hes14+2oX4sZHXkd8TrSvCY7TRs8fab8T /W6Q98T9klul5fZXal+cN9Wx5rppfua76X5uaLyXOh/kyiteM8PPXDPTz+TH TK+9P8SZLV5D7JMDxCCxTEy3COHy84KwPMe+OI88mOt18/zM7832GN8tsJ/W xjXndHC/+Mx7muM1m30G7uWLgnBNbnxfUF1mzskh8ob8/TXsKuYS55Ef5Am5 VOZncqjM8/mOXHq/IA4t8Rz2I/Yo9qqK5ih9/Legfsba8U1BPaePZZlxwTr6 gX3ymdzpayEv+lmIYeL6WPj/2n4Ze+ZgluMwxbma5/gxJuyvG4ylW0N4IpbY hDc5XkfA/l9B76iJR2Lux4L6B/F4bqhG9HSsdviMFUJxZ8xnOcfM71Gh+sWx O50r7qsQqr/M/6Gh2kes3G4cEYuHhOrmfH9jp+PP2sC60N/x+9Yx4zvmdLH1 LttlzhNzVBk+f+Hady/0V36/xDlg/I/E+OGh5wzVd2LwatiXhzB1E/Rxodwy n3udz+XOMe2jQz1yifO5r1w+95fL5wHnlLlkTjsZQzV9p/kldIRierc5RA5s dRxfcx6IuYWOfZTrOzwD98+aX9ln/9g5Y742GwfEwB6ff7fjTZ4scvwYN57l Fvup5DvUCaE8HMQNMbPJmCPetjuX8x1jxvYD56eKexNrcg3fPaqHei37UFXo YzyfsWbMl9pHVY8zlqeFYskYnxKK8QZjd7QxclIoD7xHsRawDvwqxP9dzsPp IXzx+9Xd74n9Hwqq8YzB0Y4DMXhmqD+V+Azcf2evZx4HeJxYZd6au34xt+f6 jHeEcP9yQTXkPPOrdqjXsr/WCfVa9k6O1XYPZh/lOPsv19XyeFfPY49mHb7O tZhz69gn+zF7dnfri+Lne/Il7tl8x57N73CM73h/rhsa5/weXkN/PH9991fW GdqjjM0rXRN5x2roXsVzN/TZWR94z3jT7xt5nDjm+GznYZ1zcannTPYe6zo+ nNvEfsiDpuYCxy7zODlMLpM3TT1/jvF+Tah+LHDsiFvGj/a/fb4GPhdjVs+x 6uL8kbvEdDNz54bQPYxjrULPtDl2I+Q9f6e5/VO3sN3SNrFDfbPHGau7QvWU dayZ/dwWivsox5/PGx1Pxnq6OdfKe+AY8bfFcaNf1ue7bL/p89IX+wVxvMa4 5jz2Y/Zi1nreCVjn7wnVKf6Oo77H+2dd4B1lnGPDfZd5/21CtbiZY8WztPGc 9+yntX2W2g/zzh7Fu9N463Yen+79TPPcth7nWHvvk+dY67Pw/O0dn9beP/PP 3sX6y5rK/VXynntDD0/VoY/ID+9tOPOSqql3QD+dwvBt0Hem8LqTmArtfSTj k6rHY2Hfl6rrvaF7pfrMBsjoUC9dRoyHenVHvH8wdX9/DLprCqedoTulfh88 DtkU4v7r0NtCdbQn3n/hmC8npoyBhzD+lxRXu6TWc20P2NOM3T/C/lOKP6WQ 36Vq/Fewd4dq9BbIE8bqVuheziPvax0cq+ncX4oDM4mvVP+5HXpoiN/jICNS eVhAHKZ61eeQl0L1eyOkq7HaE3poqk4PSH2b350N/U2oN0+Evj/VG5+BvTaE A+7lWe/nSeiTU9j4Es+7QneuOZAfQ/1jEN4PTPXDLpCSVL3h/xk3p/rfw9B/ Tf1u28vYh/57YJ7HhHI9KpQDxp/YGRbCD3ExIoSNVrCfD/XV1aFcMo88x4TQ WRinF0KxOhH2sake9iIxn6p9Z0FXS/We2tSpXtIA+qJUDSUuXjY2Xg1hhXY9 6AtS/aMJdMNU/eO5F4bOXhP22aledCV001TfmApZGaoDk6FXhGoXsTMphJ/1 xHGILzcwF6He2xz2oFA/XwfdKVTfriPGU7X4FOiTUneIRyFXpPrUZ8Yca9VV GOsf6h+PwH40Veu/h/QN3d2InaUh/HwaxgfGd5i35Cxx3S2FbZ7jXZ9ljXFD zLA2fBiqD19D+oTuiZuJx9Cdt3uKt+Qs68R6n30Kcx6q03Mh16T63oDQGbj/ v8Oun+q/74RqEDnFeF/umLeFfjt0R3wYcn6q7/8eenHoTnYZ7EdC/et02A+F 7iTEyBnGSQG6Qup/JnJ0RoinxT4bz7UPen/oLtgMc55K5egnPBel7l6VyMvU XW0W5JPQHS4xdkjq3vYG5KbUva0z7JapO2VJKAeMP3N+vfNOPF5oTLZIreda YvNS47M6a1roTnUx7L+F7gnE+yXG/I2pWDPOdVLxYqyuTnGefO9nrBAnxPg5 xvm90G+F7tOtU3WKNWpgCMfE8OAQjonhWqwJoXsaY984Ff9Gqbwyp0NCnCff ydHzzNMHoBeF7vTfQQ6E/r+siPFDU/9Z8nx1U2fcTmyn77nUqf8pmecTUrkm Nvc4j6wZx7tu/BmyKnQHroKxo1L/fVaFPiZ192VdKXZt6ZOqxazDZdB/SOGc GGyTwuH75FTqHkO+nmbOVoY+MnX/PpW4Tt0lidMOKawSU+vM/f6wl4TuRx3N VfKUca2Riu1xqTNw/z+Ee0BBubo7lS/Gsl0qnsTImSmcHAF9eOp/X+7lWu/n /yIjKxk= "]], Polygon[CompressedData[" 1:eJwtlnnQllMYxt+ec2vfl0+klDKENNliijZliUZfJEsan6lsfdlCqbRvpD1l q+xky/ofQ2OmpM1WhESyjKRCRcnvmuv8cc19Xfd53ue5z7mX87aqGF5eWZRK pVkgwA+pVHoHNAaNwKtgHAu9sZeAD8AWUB+8zQ+/xW4FVbWGbsizZeB49CZ0 dXht0Ar9Ofpd7JXoztjl6HL4w/Bv4P+B3fA/wVFgA3oqdlTyWm3s3+Af0Axs xLdBceRYa4HE+6qBY+Gf6Z3YAt0c+yn6J+zLoAEoA+vB66AhqKkYwRdgL89O AE/Bp4E6YDt6L/YmxVg4xp3gRrAHfSS2km/dj60GuisGMBtfOfZnnpkInw8u R9cAk8Gj6EHYNazPhH+Uz7MJmA4m5djqys/6rdj9hfe4DowP56YfqAK/Bbuv 8J63gyn4+uQ9HcDerHMsfIZ3sjYOWx2cD15KPqOy/P3xYEfmO/nNvHBMikV7 mKH357OvB97MPvHdhc9utPKSz3CNziG/T3usw/sagNY6d56vD69Ujgv7lJu3 8ruUo1qsD8MeKFxTHdFngano09Fjdf7gIvhKfH3g8+BfwQ8pZ+im4dyekPyt Rug2+Zv1wjEpluOSv1U3zPXN5vAWoC16Drqlag0sKuw7Gt4s/O6J+GqGe0C1 3zI5dzXCXDmciT0I/oJ/AhqHe0i9o5iugg8AK9Cdcq28gd1VuGaWoVdh30cP xS5AL8R+je6PXaQ84TusXgVLwz2s3h2M/S7XUL/cE0vCParerMA+hP4Y2xdc Bmaht+Wz7Zt7YZ/2nXtif3KPqjfla62zC5/Fyei28JNAO9U+vnbwU8K8Pb7O 8E5gGvpM9Hx9N5y7LeBEnS2YVPgdZ8PPCedevzkV3j78rimqCfgZoENyjZwm Hl6Tby64FH2wcI1cqNrRO5Nzei78vHAs0wv3VqgGco9paGrGaLYck3vrcDJX jx0RnkmaRfpNG83G8FloD7OxPdH/wr8E3eBdw9/qyFp3eI8wn4GvN/xisKRw jAvFsdvQA7CL0a8kz5qB2gN6uXoafTX2QfQDyjG6K/pu+ChwAfw3fLfB7wrP gl+1X/jw8Cz7RTUGfx7+o/aGXQqeTp6NuhMeAf3DtaoZf1+OUbGphsfmGAfm mh0ZnjGaLYphEPoJ1SW6wK7ONT407+Fa+GPwrfAq6hvtKfmuUA/1Yn1O8lkq p+/lmlYt6475Q/sE6+FNsYdU48m9pxxcwbOLk3ulpHyiX8TuKDyv1uaeUC9o pq9M7qnBOQfPYG9QzWC7qG/gC5JrVz04JudEuVAOFMvvyXeHYlqGvT689+/R j2OvC+9VZzIsnBPlohu+EboPwryn5gO4Jhy7zujD5JgUS8qxPZuce8X4HBiC L3JOX1BPh3OrPevuf009kvwfYK7ON3xXybci+U7TXaaZ1ET1At9c+D/AZrAp eVbKNzJ5Rmk2qYYnw3cl50J31L3hmlQt9kq+S29XDyTfqWPgo8P/NTTjdXfd E35Wd9gd4RpW7eo3moUbk/87aCZWsPZkPlvt+X9VixpY "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm812MWx6/c59wiLaQkqVSkTDPKMpYZM2PsjMHIvu/7kKXsY2eGGcYY hhCRrSKVSvuGaF+0a5GUfUso5vN2Pr/X7Y/PPc/3Wc5zvuc5z+ec7/21OfOy oy+tU1VV1V1/NpUcGVVVzYXDSlXVryXb1lRVnUNbeKq6qup54S61jxP2Fv4h HC/sK9wo9NH4i8LNaj8j+ZJwvdpPS74gXKf2tcJzal8oeaywl3Cb0Fd9/YX7 1D5B+I3wup5fEQYKD+j5JGE/4UHhZOF3wrsae0eYIgwXXvaaf2nsROG3wsPC /sIfhIeEU4TfCyOs+1Vhn5JrhwlLhY+Fj4Rb1P+sZD9hlDBIGCyMFV4Thgp/ LLlunDBGGOKxyX5m7gTbxztNtGT/8d6TsTe9x2jhLUvWj7SNg/ye47xutuex z1T3sc80y4nWMdg2zfIerJkhTBLeEGZaMjbd6xi7qqRv5woHlNyX53m2gz0X eD/W/SB8KnwmLHQf+yyyZJ/3hflet9KSuUtsH+90kPaaI/mesNjrGFtenefN /iss0bXMNjL2gfUtsh0rvOeH1sU+B5fUvcbrp/odPvUerFllHYsdC0u9z0e2 i+fPrZv3+MTjyz02xzZ94XHs+tIS3d9ZL+vWCqttz7eW7HNoyf5vhHXuY82P 1ou+760D29f7nbFrgyXzfvLcrziTkvo2kawpuZ5zq+N+bNm0pPzWa1bZf6Wk HdheXXKc5yjZh666JfVhS72SEltmqj2jJLcQa8Q0sU6cjfDzZiXn8n6bl5TY 3rCkvdjYyBIbXxGaCe2FbUquZ92WJe3D3q0ssbGx1zHWtKSt9ayjntdvbb8w 1kvYQmghvCg0EXYQnhAaCNsJvUva19L8BCdx35733m3gQu/dCp6zfa3hRb/P 9kI/791W+JNQX9jWe4ZtGmC72wmv+p13FIbDP0InYb4wROghzIMfhaOE2cIs 4c/CXKGj0FnYQ9hV6GK5i/ALYZQwUvilsLvwK4+PE8YKXUtyPrwOv5MTyANw L/xPHiAfwJ/kAfIBfAx/w2PkAfge3of/4Vd4lpxAboGLyS3kATianACXw4Pk FHIROYk8AJcP8f37xHcEjofv4eEKB8EL2Af3DjfgyfHVtbw8wfE4yc8vex4c PdBjzH3VMTvCY+iAHwc5rhljb7h/jMfhmSnWCzfCORWuh3uJqSrH+uFuE38V Tp9q3cx9w3one/1I902yHewDVx9Ykrvfrk4fjamuzQmjN7qDM2zT1SV5f47X w6lzvQfcDA8zBse9Z5vg0Hm2cYGfp7iP9fD3Yp8B65f4mbHlPjee4Ri45pCS HL3auuDYFX7vWdW1+Wqm7a7kg+U+Yzi2kltWej22wp9r/D7L/A6LvOcHfv+F XtfF94A7gl74ldi6pqSP5ngd/Pil94BvP/OeX/iZdfDh99W1OeAL66IP3uQ9 4dtvbCOcCrd+7PF11bW5Ya33WG+9jBVzGnrhzA3e5yc/w7vTHU+V3LDe+9Vx vKG7utRyP5Ix9od/2AN7a8xH/cyF8BN21DVHoRserVdq+Rp+PMIxXd92NHBs V7h+M9vR0GM15sMmtqmxdVU4fUvb0cTPlXxT12jq9fBtK6+Hb1t6jyNL8mzz knzewvZgB7xKToDbt7M9lTyBXvh8e9sDz7e2PeSINrYHLjze3AVvt7U98HZ7 6xrm+IKL4eYebh9dkrPhYrgWjiYe4fK5jstd3b+75/EMR4/03M5+Znw3r6lw /F9K1vRwKHwFJ8MHcB3cC0feLdmtZF18qiU8Rx81e6XO3rfU1tDwM/p4hrfp Qy85Ee4BcDW8CODnoZb7u/2I96OmPqNkLcjdvcTP8MLFwmkleW2p5Tu+R4xz V84qWWsQa5eWfCb+zivJL8xdULLG4h6c5j3hzvqeSzxcJpztWNnF54Ivu7uP HH2B44lYWlQyx3a0j48pmafOL3kH6tt/x9qHkyQv2sjX3dxf7ZgibjmT43wu +PUE+5ZYHOC44gxPKrX+Ptk+P9h+w4e865l+9zck79nI16f6fDmfU3xG+P70 klz3luRj1nWA/Y+vDrdv8fOBPpuf841wrtDBe57nfakZbipZN3Tzu+9lX55t /5xjnzZ33/nu59wucQxcWfIbkrVvCv+zTUf4vA/3mVxm3cscK1d5zys22re7 96Lvcvdf7j1o9yx5N3eyL9Dxcw4pmQvIrfjpGo939PxKPdbTfqBuuaHkveMb mBqI+ueOku0B1emzv3o+ddX1jh/Gr/OcG6wLH/axT5mLX2lTew32vtjMvaT2 4m6ucP4gL1GTUauhA27sU5IfqcOo2xi/tWSb+owY/Hup5bZ7S8ZjpYZj3e0l 2/2tg/XUf8T7nSVj+VTH3j5+7zs8n7j+p+3l7vXyuRPX/y61cf2fknH6t5L2 o5+4JD4P8rveX/JOnObYIMaJ6/+W5JvHrb+Fz/BRnyO23+737eV53HFywBO2 C97HXw2N3h5/yu2Wnvuk9ff2GLmE3PFsyfzRx3poN/ZYI4/TJm/BAX09jnzO /eSal0ptvnnec19wu433f8L7NvGaylzmtbYO+snl8Eg/z+3vdlvv2dfzb7bf iTG+v/gWaeq5/a3n5ZK8xNjBoW+IyJyzi2RNjepZtS9W+/zIWIZPyWvkLO4N uZC4fb3kt00n9812/zD3821yuXRcEhn7O0j+KAxV+zrJayLj72bJ6yPPtaNk tWwYw7mrfUXk+7TGxsi7t5PkJpozouT/wPaK5KTO3pt9p9i+TrZlhPtfK/n9 1cHvMsRzqCnI/c0sB5WsA/jOwpauBvm+i8eZx/fdwJK+bm850L5t5uem3nuk bZwqjN6ob5R1d/FzV9vEu8BVt+ODyHv4jt+hg20f6rl72LY98bN8smckNy8s mUe/VjzMV19VZHzOk1wQGTuzJX8qGedL8G1kLHG/uFvc8Q3qaxO592LJ9yJj tL5ks0j9KyTrRMb2J5xjZHyOlhwbeVcbyLaGwmS1P1bfp5HxOEtyTuTdWiW5 OjJel0u+H3kPPpTcNDKG3yuZy4nLd/081320d7Z/5ttXzJnn/qP8TFz39Jwe 9hP+Ig9P9zO1x2Lr3dm633W7sl9HS+ZRW1DPL7GOSg30tvMSbWoh5DL3t5Y/ ukTmqDZq7xaZkxdYD7692vPRMUbjP/hsiM1pjpkq70md/r3mrI2M028kv4iM yyL5WWR8ni7ZMLIOOkzy8Mjcu0a4LTKXnSN5VmRu+zzyzDivMySXl6yfOPOl Pvf1wrhIXiWmZkTGFTG10HH1Iz6I5GFiZI3jhLNd6fMlTuc6Vj+KjAni4YPI mCAeTpY8PrI+2F9yy8gap6l8uK5krdGO/SPPZZhkk8gctJXmfF1yfhO115as X7bReNPIGGim/u9K1ik16vsu8r4virw/3J3xkfFNbB8jube56E3JCZEcvyzy znBf3o2MdeJ8g/BGJP9PkXwrMg/NlJwamX/gLfgCruDMT4o897qSW0Ty7fiS //chBuDuiSV5YJrHunp8gvupv7h/1IXUa9SO5Ge+Kah3qfuoE6nbyM9jvZ61 8A3c2smxucAxd5jjnhjkTlFfcu/g63fcZnym43mJn2lzNuQP7hHfF9S+1CBw 5Ci/+1bkjcg64AP0Rua4b0tyEHpWcT8i6412NfkbCWexmWSDyDvbWP0/RNZf zdWuF1nTfShcG1lXrFb7psiaZ6XaF0XWckdKdvXdHC65q+/sN8LmkXd5hdpn R9aPraS/c2RuDWyMzBH11N8tsoZ9XzgosubcNvI3HnxJHLXz7zuXRtqBDeTJ GyNz5SOSD0f+JkMu7RmZTx+VfCyyVuNdW/p9ycOXRebiZ4jByLptAHc6sva6 U/KuyFqQuoB3wP59I/2Fr+CSr8wn3SPPg7PAH3AZPtkjMg+Rg7aVbCHMKek/ OA4f9uOsIn/zoR6BV+ABfHam/fakZO/IevFxyV6Rvx1dEOk7/EadcmFkrRLS 3Sky7s+VrFuTPPac2n0jf5t6gdiJrFOHSL4WWYNuqrk7R8Zdo0h+hBur1L9j ZD0Bp66L5NWBkq9E/n71beQZc763RMYQ8TOYuZFxDY+eF8ml1DVXRtY2+KZV pH9uiIxF4nBaJFfCk5Mj+QKugCfeNldQF9waWRtMjORfuBf+mG4OeZBzjvw9 8FDJQyK/zbgTbX0v4NETI7n0fskHIr8l4M59Iu/oCZLfl/wWg9smmd/goUY1 yUXt1d4vMsc+jY2Rvw1uHcmzcOw9at8d+VvlvdgVyT3bRXIufMs+R0fu9WVk 3iJn3UdcR36f8Fvo7r4vLSJ5H85/Xe0Rkd8bPSJ5AU7ooPaxkf+/IVeQA+D/ h4j9yO+l/wOiXQZn "]], Polygon[CompressedData[" 1:eJwtlnmwlmMYxl85z/1VlsqalJzWIWaMsYT2SHs6hDbLkVbOiRJpEuK0at9L CCktUp1kmaRIkkqTNetYhihLURnb75rr++M373W/7/s97/Pcz33dz1dYXFpU UiHLsjlQAC0jy47NZdnrKct2QA/i7nAGegj0RPcK6xowDv0z1xtgLDQlPhsG o/tCb/TJMB89DH6FZ4mnayxYjH4GWiTf64iuBnejB2lc9D6uLzC5u7i2IM6Y 36vo96Ar8SXQB10KzdD/wEvo7XA/egSMRq9gjOno/egbYSK0I/6JazcYCI2I E+NvQm+Gc4grEG9IzsnFxKcS70Z3gLrEZxF/rndhGvEUaIKekJybqWGtHHVD 14eu6KLkucwifiw/p0L037AueQ1r0OUwF30lzEbPhKbJv5mg38I49BVQO7wH yv0HcBJza5KP34XT0bW4txd9iHw8QDwynJtHuXdTeM+0V/fCVegzoRO6v+ag 9UM7dD9og64JXdADYHJ4TprLeDiOb00K67cVo1tDG82Hb45CPxj+9kriBuj/ 4JXkPV6GXgot0TOVk3BOlIt58Bs8H37WCw7AfOLJXLvDL/Ak8VTVMqxCr4RW yiW0QkfOe70TniJ+Apon/2Y0+uHw3MqIf1cthn/bG15EH+TaGuYk19IY7o3J 19RYdBlcnnxPta2aVi2rxh/R2sNjq8YXoOdBs+Q1LA9/U9+apT0mrs5896Cv gebKP/HHyTW1KOwxeWsanCCvcG8B+h3NMZwj5WYSXBf2jLwizxajq0JjPYNj cu4J6gWvwb9hD8p766Eg5xwqdxuTa6s6cfvkGpNXDudrTZ7R3CvyvGHyGg5q fVAPvTrZS/XCa5OntLbKYW9pjcrl+HCvUU7ltRlhL8tzF+jbYS8PVY7QJzLG NnQJbCCuEfbubVBJcc5ekUduDntGXhkOVdHVoDx5zl/y/Av1ONWd6kv5hlXJ a/gK/XX4WaE8iN6jHoFeDO+jd6vnJd/bgn5LHlOdwhvojeHeuhA2oTeHtd75 Ef0D1JFf4BR5BW5BX609Qr8c1trz79Dfw/Lk3+zSXqkHJM9hn/pfeKy68ih6 a3guNeVR9LawXqQ9RX8GS5JzoF40N1xL6kkfoj8Kr7U2fIv+JpwLzeFT9Cfh Zxpju2opPLbmdAC9PzwX5VRnwxLtcfIZIW8+Ha5teVReWQhTkj0zWN6CUehl 1NxQ9JCwfoh7pegS7U+B3xmOvk/5KfAZcQ96WPhd3bsw3BPVC5XjKuhb4dpk jwxC3wEjk8e8PlyDqj15/BB00jvJPe9P6Ex8Z3IPLdJYcHvyGatetyLsdfW8 x8M9TL1La+yjd2GE8sf3jiafgTr71IMrU6sdwmfnFtUEum3Yy0t5/zR0FyhO 9uiRvEfkDfX458I9Vb1UOe9H3Dfcm/TNgegB4bG0Zp2N54a9rzNSvbthuFeo hx9BH4b66LXKB/qPsNd1r1bYc/JaeT5XxzPm1uSc6SysE+41OhOPov8Kj9Ug n0v1OPU25bRKzh6Xt+V59frV4d6snn9p+EzTWab/DOs1n+SzSP9R9O114bNF c7gofObprFPOcjw/X55FvwkViSvlvNfKkf47nBd+pv8Qa8NnoM4+neETw3uk vdGZfVn4DNXZqRr4HxMBOxk= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0SVSBgAQgNEfGAKBAQKBQCAQaFyCC3AEDgCZjg7uLgnXQqHj7u7u7vYY CG/2azuzG5eSlpwaFAgE0knkt0MJI5woookhljjiSeCLR5544IVnsnnjnVc+ +SAn8LcgiG8ZYgaTqwd/9+l+855mbmnijj5uaOSKBq7p5ZJ6zqnjgh7OqOWE Gk7p5phqDqniiC4OqGSPCvbpZJdytiljhw62KGWDEjZpZ51iVilijTZWKGSJ ApZpZYB8Wsgj0h0iyNILLDLLPHNkMsU040wyQQajjDHECMPMkPT/3x9GWFC+ "]], Line[{162, 185, 179, 267, 163, 266, 164, 197, 268, 165, 188, 189, 190, 186, 194, 180, 193, 181, 270, 196, 195, 264, 263, 265, 260, 262, 261, 138, 183, 184, 178, 192, 161, 191, 162}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{274, 273, 277, 537, 528, 529, 527, 531, 530, 477, 533, 534, 532, 536, 535, 478, 539, 540, 538, 542, 541, 479, 522, 628, 510, 526, 497, 524, 496, 525, 476, 276, 275, 274}], Line[CompressedData[" 1:eJwl0mkzVQEcx/FzKct4EbpKi4hISCVRVyrJ0lWUpbSRmxrurawJL8FMD3pt JWvETEWKRh/jwWe+5/97dObMCXfFGvpCQRB8pMTDMWZY42FSEDyigy46+W5/ oO20cp82Vu139R53aCHKir1Jm7lNIw18s9/Sem5Qx02W7bV6nQjXqGHJfkWv cplqqli0X9JKLlDBRRbs5XqeUs5Rxrz9rJZQRDFnmLOf1kJOUUA+X+25mscJ TpLD7N630uMc4SjZfLFn6WEyCXOIz/YB3dU0DREnIIN1+6D+0HRNJkESj/lp 79Zf+kQP8IwN91Pd1Od6kF5+u3t0S19oCjH+uPv0r77UVF6x7e7XHX2t//QT Cd7wlncMMcwIo4wxznsm+MAkU0wT33tfokRC+//Yf1VqQ+o= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{634, 633, 754, 872, 1005, 1006, 1004, 1008, 1007, 1157, 1158, 996, 952, 982, 981, 880, 1048, 1049, 1047, 1051, 1050, 881, 1058, 1059, 1057, 1061, 1060, 882, 1063, 1064, 1062, 1066, 1065, 883, 1068, 1069, 1067, 1071, 1070, 884, 1073, 1074, 1072, 1076, 1075, 885, 1078, 1079, 1077, 1081, 1080, 886, 1083, 1084, 1082, 1086, 1085, 887, 1088, 1089, 1087, 1091, 1090, 888, 650, 641, 640, 639, 638, 637, 636, 635, 634}], Line[CompressedData[" 1:eJwl1NVTFWEYwOFVwG7RK/N/sVvsVuwCW1FUVBQDAzFAMbC7Y+xuxJyxe0yu 7I7nGy+e8/u+d5Y95+zuoW5ickJSsSiK4rwUFY+is1ykgELiY6LoIC84wHXy YqNohs5mHyvt9+serrHMPl1nkW29iGnsti8i3XqvLtfp+pws64VMZZd9mu7U KVqoT9nOa7bxhis84TFTSXXsRCYwmUnhfc2fMd+6QOfpVV2gt3UHueFYfcRF 8u0v6S22khPOqw+ZY51JHzbY99b1eo6l1qk6k7WssF+nq3nA6bA2O6M3WcWS 8Hn1frie1h3pRHuWmXXQ4+FYPaHveBveiwSz8ZrBjXAuFpul6L1w/a2b0JSG NKYRM6lNHWpQi5pkcMff3Q3Xi5ckU828OlWIpypJ5pW0MuWpSAWGmpfVcpSi DKUZYl5CSxJDHLEMNi+mxfljHelfHcR3fvCFb3xlIB/5xPtwP/hAJp85xC/m 8jPcb35zmPrOvUDraZY20CPaPDx72kyztYUe1Vbh2dWWulhb6zFtqznaRnO1 nZ7ULrpcO2uedtVT2l1XaDddqT30rPbSfO2pazRRz2s/3ah9dZP21wvhu+tm HaBbwjXSy+G76qvwWyElPBOMYRxjSTMfqaMYxgiGh9+IeZImh/sQ7l24T4ym fsz//wf/AN6hk04= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWQFUcABdABFie4QwoWKD5x/8WCBqnCoXB3d3ciENzd3d3d3d0t6EII CQmcLj7O3u77enZnevptbNNONTrGi6Io1o+FMVG0gJoJo+gBTRJFUSoak5qm 5CNH4ijKL3+iPI+sbSPb0pr2tOOxvqPsRAe60Jkn+m6yO13pSQ+e6nvLPvSi H315ph8gB9KfwQziuX6oHMYQRjCcF/raMg2VqUQy9/yL/JVx/M5vJNdvkpvZ yFa2kEJfRX7wu9IZpzUuHdbzUbdNpqMhjShETusKyh2kZzu72MkPPqsq/3Jt euMMxmUoQqx5YfkzGcnMj7pM4T745JoM5kWNs7CbrOwJ70efkmrGf1uX0Tib cVmKk8u8mKzOZ59nMs9uXI6S5DYvIfPIUrImNfjH2rqyHnVoQH3+1e+T+9nL QQ7wRX9YHuEQxzjKf/oT8iTHOc0p/teflec4wwXO81V/SV7mIle5QsR1bnCN W9wkHne4y23uc4/4POQRD8KZ4zEJwnkKZyecN16G80IMr3jNn7zlDQl5Txzv wrsPZ4JE4b2EPQ/vNOxX2F8Sk9czZCY5X32f4njGHS5xgv1so7Q1cax33QbW sI614e/qV8nVLGclK8J96JfKZSxiCYvDPesXyIXMZT7zwnPoZ8s5zGAWM8Oz 6qfJ6UxmKlPCPugnykmM5w8mhH3Rj5FjGcloRoU91FeQFSlALZI6T0loadyK ZrSgeXgv1i/z7EtZwmIWxXz///MNd4GoAw== "]], Line[{1362, 1324, 1328, 1332, 1333, 1334, 1335, 1477, 1581, 1799, 1580, 1797, 1579, 1798, 1602, 1796, 1578, 1794, 1577, 1795, 1601, 1793, 1575, 1791, 1574, 1792, 1600, 1790, 1570, 1788, 1569, 1789, 1598, 1620, 1568, 1597, 1567, 1819, 1818, 1545, 1817, 1596, 1810, 1631, 1565, 1787, 1809, 1808, 1549, 1544, 1816, 1595, 1566, 1572, 1822, 1571, 1550, 1546, 1820, 1599, 1573, 1621, 1576, 1362}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd0gk01ekbB3BUIqLcVpGtLG22ilK+JaS0jBRNMnTJWhGZJGQyISMycyUl NRkVUzIpFV0iUtxrvfa6XNz1x+93LW1D/O9/nnPe857Ped7zPs85z6NHDzlw XEFOTq5cdv5/K75NURCXktjz3N/waNpn7OR8+21XLQnD8VzP+fs/w4BH/Sod IjFVYjYlf+UTYiaE26fVKehW9JKJXeNg/RGolWBGIWJDdORXi3EQtwdZjH0U rnww6BZljqGnrub85iAKGrFpL/Rnj+Gj3VzFub9QqIkIqZh1ZRTNTQdVZl6j 0BihF/d06SgK/U9mmORTeJTiferGwxHc++oZmlhKga4YPG+9wwj6XS3MjOoo CDdV5agOSKHo8G2DRicF2jC+ll2Sgp6xInKyj4LbDfuCbgcpLIfUptXFFM7+ Op6tryTF2rafVX+QUlDY/CacvE7BVNm3s+IzhX1r/T+dX0lhXXZ9On1S1t8/ qUGvnpG4+s3X2fY7hbSxhInkXBId+YujFkxR6Jq4ahCWTiK9JVmPL7PS/Q+P T18gscra26FomsKLo36nLp8kYeu9w6la5taHpgdfB5OwWETb2ilzcq/n2S+B JLycmgyGZB51H+xYF0Bi308FtM8yW2hEZ+72JyH3X0jh91+QmB9wfGymzIGJ V8wvHifx6rASX1nmm1aKqjm+JMyOvK+myZxOXetto5NI6Yi7pS3zg7ne0rnH SGg5mYYYycyWP2Tr6EViUi1MO0lm/R2tPgl7SRR1rFUTyHzdtNCaa0OCHWq+ Y7u8FHeVxlL2riKRzdtTniXzeZGSOWcJiVR3/r7fZ0iRqixoTCwYxuu9O9Zp zZLihHO8cR2GkfSXqtUmRSlul6z+PaRzCF/1C0DIfOSQldv+M0NYV+etuX62 FGFmpTE7aEOIFBYUc2X5EXmr3eYJBCRnCn/Llf3XsSw85fi0BG9zL5Umyer5 WG88FBUrQfq2L44MWb/0OpoRbYYE1Qzr/de/UXicNlTfkyJGwCsy4YRs3hca l55MXCYGfcBKRONReJdOMaMviTASpJLCaaCgbWXq8OyLEGp++rrslxRMmi45 ZJ0WYuz9fdGyuxRufznl8OeoABRDUsFNpBBY8WDQNUoAt1vBCy2DZfsd7DTD XkmABlOdoQ17KKia3zVVz+ZDVfjSZc0yCj6vVRTslfiYmVEcUc8nkfG2Q2px YRC3t4xX+z8kkZbZM1tRbhA+D7rPu4aQ0B+ZXiGfPIBFls9SuOtIrNm2nIjR GoCqS3KCGzGMYVu3M6KSfhjdmhWjmDcM27Khm68O98Nitplfl9MwVu8LON1D 8HBoOLLLVjwET7/nTpaXebB5dG5HWcIQnqfGKSib8RCjZTCbpTeENQblu0p6 +3A0dL6vsJSAUeSc4HuZffiU4xoUfYDAmZu6la7ufRhPPDgxKpLAtWRRhsPy PpwPo5lGeUmgFcUbMWP2YqFd3I/xbWJcP7Bx1hzXXoQ9yJkqdRZD9YBWQtYk FwM22RZlVSLYxQ4WJ73gQu/ECn9VGxGCz1WI7lziYrP5tIvhMyGWXndMf0vn QiG0lh9qLkSHhbxwfB8Xjz82ea1MECAmadjIaTcXQfmffGf28WHWu1Qp/igX q5ePBDPAh5aS4ggznosIenjaprxBZP0bctq0nIuHD9fkb5o/iPGYW+0r5vTC P6TT8nX8AG74+rtMHu9FqLWehDfZD7cfNON1m3pRHvVebtGufqgvtNgjZ9uH s3ENcz3u8pDENd6TmdOHBv+KTmclHhQu910pm81D5nydIs+oPjCe6xTQz/Kw 2KLWpIPqxfKXLfuvyebxoxZn7gW5XvwyZkBG0fuxzvCK4/qVXIybxK517+7H EYWG6cSFH6Efeid4LGYAp07keWm4fMC8u/13P04NwMnOU+9bZQ9Sog+oONEH sQ06Jklbe7Dm+QvD7VWDWGLt+rKrqhu/t/hM7V/Oh4tjWOtCl25YGTqtWfYz H+mXQuXChV3ovO2yxe89H042iZEbL3XBbTn/X7UlAkRv2a7w1KQLp1jlFnPo AhQUU9l7OZ3QrOLA+74AlW7fb7QFdKLmj9iuC1MCmIo+uB9T7ITS80IPxl4h JhP3XWj9uwOeH+PuLM8QQjnMs8jycAcS3x9t+adNiHePN6QUzOmAto1HkVhd hOISS15MVTukD0fUfOxFYBI68+ZeaMdP2uVeJeEisOcVl7HRjq2TpWPhOSK4 nJ6npKLcDu+doWFLZHs0+HdLqFZbGw6X3e5/3C+C49bC8Fe5bWj/c+LyVTkx 7v2wIrDwTBuOLLBbpaQlRmwmx4W5sw2rts53PbpBjF3Vp+tKtdrwqUuDW7dH 9t65XT92jIOf7c7FJ9PFuLXCwHa6ggNNb8+LVdFikJpko2IaB3t7jbTeMcT4 skZU9KM3B/0lS6PFBWJMPJUY1VhyIM9KNg6oEMM7f1OYtjIHFuK0iagWMf5Z Vnt1S18ret+7d+8fFKMs22SrR3EroqSdKiFfxKg7J9x/LqkVJh4BlvuUJbDR FT8O9WqF5Voj1gJNCVIrzQgd61ZMjgu8B0wkCKONBQVqtOJaecAQx1qChnsL my3IFlhr7hyddpTg6JLZvtnVLWDtXPdFw12CY8ygLmF2C3z+eldt6yfBGQfD e+M/tyCn+qr8jTMyU6mMvAMtuBhVVGJ1UYLDGuH2faYtSN1ruMg4TQL7pKya FLUW1EQyVM/dlKBf4Rfz82QzVIbj7Lbdl8Dl3e4nxY3NUJN/PhrzRILO7KTX Bk+aocfi5tgwJXgUtG13aUYzNOt/f/NLrQQbeb8l+0c149n8BPnDzRL487WF Wt7NOK9Ps63ploBR/9Oym2jGZb9P370EEnjvmLX9jm4z6B8E2+kjElR9km+m zWjG3wfdh9onJFBbZe/aK2iC2mJGfe0sAlLlOkOyvgnzBCHMreoEHNd8ZDs/ aYLws8/KjUsITOTr5tdkNeGqv863N7oEZvVYVjtfbMLK516tw8YEwGQebgxu QunXU5UvzQhs82j7x86tCW/tF7mutSYgWPWaaWXVhLxKz8A+OwIpiQal6ppN 0I/PfTKwh4Cu6eNB5++NOD4Ym+vgRsCDOfjbk/eN2HVxwUqaF4Frhubhi7Ma EaXjVePuT8Aqpj3voG8jHlcO/b07lEDanWO0KYtGxFsE1NyNJOAif2N748xG TDJnkCfiCAQu5AQmdzVgWOCT+zSRQERwfd6XogZoPBBY/ZpKID/AK/Lmrw1g tNsbjGYQOPtjp7qPRwOo5Zu92rJl9f0ifFU3NMAYjzo25RI4wbuncHR+A0Sn rm9ZlU8g08kJWlI2bpioGxQVEri14B7HuJkNl37OopZiAqU1K2p2PmVDe2n5 6hsvCJSsXbLKJYuNlx9VTqgzCaRL7hToxrGR+vDROutKAgPryzQzAthwXt9j ollD4EpeaojkCBt+199ePVJLYOxBdXf9XjZeMdOS4t8T4KdnmFtuZ2P13T81 r9UTsHtjnqW5gY1H36Yd/2AT8K5yv5WxWtZPjslbg0YCxhdP0730Zfk/a1fe byIgekMziFjKRvc3N652i6xfly0bOfPYYKTTfJNaCXRtIlJS/mVBovaBadpB wDPfpsdYwMLQojxOQjeB4gehe2JaWdDWYShnfCRgUuBwkF7FQojmApVjfQTe XesdPlTOQm7qTyfn8AgcDNZu9CploWPmRp0imUuVI85cKGGhu5a25UA/gdH7 f3g9fcJCVqFep1Rm8yqPhVOFLCx+NGN2ygCBoJ3yfJUCFr4fXl15ZJAAtzT1 om0eC7EMo5MGfALMgntsxh0WDLKiNwtkvsk3/ss4m4XsPO3RHAGB3BXB5z5k ssArL/Q/ICTwP6wRAx4= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd0gc419sfB3DZOyrFLbMSLdoaf++2VHaX6iqy/4WkpQgZoXGNyigiNxpK GkZDRgn5bXtm/vx8Dz/bD5X+v/89z3Oe87yez1nPOW9tp9PWrqIiIiJVwv7/ cTJtNGf5QQHIL6Xl9tET+Fb3JcP/iAB5ejYhEwsnoG28+dsdHwF++SjOmrQe xyOFxJzBcAE4Otla3Pgx8L/oa8UlCZBe8VXsNHcUbvF/BiY+FeCLs8d6D+tR BB6Q2X+gQIAbUTgwUjaCnVTFiewyAfb2lXV5bx+B7Mvi5DK2ANcPb7WxKhnG rBBxxp0W4fozK3Yt2jcM2tdj5ZpcASQfxKc41AxB22/Cc1G/ACuyzni+DB/C qOe7K5eHBeBmttx33zyEZCmjP7dOCDD2YmRvTdsgPpo+s3ScFmCN6y79jRaD mL/MgEn9EsCuOYNR/JmPq6a8AydnBMj4qDTgkM2HtKa7Mlfo2bW7oxck8XFI V1z7+G8Bqs2jIntD+TBrmh/AEdqjjv6c6c1HgXg21Sr0YPeMaK4nH88+0Cz6 hJZoj4u/d5KPBLuzWWNCa2QGugd78NH8lGc7LTRZYOpw1p0PkX/bJNz+bXxU PJ5+JCG0ZGuQ9xFX4X2UE0zkhC5JpcIPuvCR7jo3cr7QaUcdqtc68VFKzS/S FtprTP64miMfclMP+1cK3WnLWypynI97Vy5l3RNa5YK8krIpHx2GJQXisyYx GZCYs3k9Hz0BHJVTQiNbv/WSJh/uOdJf6ELTph+eYsvysfGp6hdF8UlEuMtu ZgcNYHVyhH6GxCTaO98pf5/sh26tXnac5CQ0Vl/fSjvfD+8nc5UahVZYIT7b a4JAi96ofFloF+PMz4mXCZoNWrLeCvfbek8pqbmMwjtZt44g4XlXvlsnuqpS WPsoQqLzpwB3Xlw4VXGmD49yLa51CP9TZ8GK16lsHqrmpQ2EDQrg1d1cFb2J BynNnR0cYT6U4s16dv/Ti9X8OZ1xDcI6Y6vmujYuEivGBtvKBXD/69UXgQ4X G5m1vMq3Anxj7VXq9+kBTTtJxj1VgLObzD0vl3ejpLeqtzJCgAfambqLdLuh 0+FwUtJbgMIp+ct2N7tQUWxVYmgtAN9KobNwqhP7IhfMj9MV4D8XbkUbru3E q8S2TAXBBOwmF7/PutiBc8u853d+nsC8PZpWqGxH1EptZ/NbE0jP7zdV0W3H bjmdlFibCcyq+Tav+Y/vONuzJpmaPwEXiwfrN/xqxc+7gXkJ9eMQiH7i/hpu AVNHIi4ifBz/VX3V0lXYDJPkUZ6+4TgqQ8Qex6U34Y25tfNg/Rg63h7M2POg EaIuVZzdV8YwfbR/qdPLBrjrSzyO0xpDivRCed+aejjShi5tKx0Fb/GmKE35 ekgE+b1NcxqF2eKjGWv+rMNTvdjrrb0jKJUxXaUeVouQDL7RHs8RhPYrPjeq qsGpv55o+g4NY22v3O9HejWw/xT8bvDcMGzvtNx/e68aC7PyurZMD+H7IbNm rmY1xN+aHi0NHsIaab2GrjwO/i6/Z98rPYTdb0ze+x3nwGXhbA9ZOh+LFUhK 2i82zkVZM5bGDmBKfc5G0QI2OnsTr5g49CP0P1d+3bjBxvqUw3OtjAgaB+Ri gi+w4W2Y0t+7iIKEXGn6yYtsqN7e+dcVhT4MZAwOKN9iw/BJxnpbWR7Gfi/n +eSxYfxFXebqVy7SIzsipGQ5KFjYPHogsQeaTgv2TAZwsHDGknIM6sYlzXDF RoVqrFrb0mng34XKy9uqTnyoBt3yjyO/rndCpGbpfYuwGoRrianxX3Tg5uUj jP3utRhLCShR6mrHUbUlqiynOoh9YLi76rcjh1dVrn6+HpvMYk6X/25DyKDH 1NLkBigW2BX+/tYK+WFW7rXaRviMLv4cGt4C7UnVp1F2zXAUOWBr5NyMbVoP M6WpFtyKif7Z79iEzPKw0pcRbagX+R4d598IldTvUWdU2jG19mfLjpwGxGzV ePSD244hQ/2r23/Wo9FRJyE/twOiN7S2iB+rRy1oWQuDOmF2Ro25nlWHBSMS ef3bu5A0Fv7xuU0dmFLGOlZTXciX+lTu11OLQ+eNpFsyu3GYczizLrQWHmZ7 58Xs68E7Rfn+c+q18LHJSAqZ6kHKd/HYk19q8HFTzKnLiVzYJbrQsi7UoLlt iV3N0l4s1mo4dnFtDaabS7ge6b3wHU80N5+oxu1FEnWus3mwvCzWTYqr8fGp edoKbx6aHItkjWOr0XM7VG9NMQ+KM9EWx92qofK0cR5fsg9tp13ibqAa8bV8 l6pdfTj+fUOumlY1xBy81U/59mGF2xGvcdFqbBnwyzC834fidtceRi8HL97d pbV86oP899KdTgwObE9Y2S1q60NyTE/XeWFOG+6GRUdO9eGhRl5TQyoHEQlK Dk+UKUTlHk85cZ2D84Kh/GFdCmffmPf2n+fg62N37arNFDZ9NLWKFuba3zI1 OsuMQuszLT+LfRxomJYEyzlQONpe+UJmHQeq0ttM7Lwp/ND96Z+mwUGA3alS nj+FQd99QT+EudznIGciG0nBPeT0RclJNh5rnl4+FUfhgo18WE4PG7uSbId6 kynUprqFk2o29j4MXSKSSWHjmfx7WaVs5AnsKOdsCiPOpQXcV2y0rm7Zb5BH 4dy1dMnZKWzcNJm1xbeIgs8eKZfuSDbIxuhFUhUUxgs3mBw9z8aP2v5l8iwK fjy6npsTGxZqitzEegrNRiVzf1uwcfixwoeiNgphI/st1I3ZUAukz43uofBw zj719yvZCK/SN5/TT0FqWERtQI0N5fzaq2KjFDhPijZlS7Ehnrb5UNYUhafb CgYmxlnwkw8KVBYhEE1fY17SzUL57hW62yQJDLYM8KVqWDBfHwZDeYLI7dHs ss/C+cZoGlYmsFDM1lB8zcKeexaihqoEunY+xe1pLGzSUK3aqEEgs4MnaRTD wi0/ywSZJQTeMy8fKAaz8Pwm0ypLn2ByeME1Bx8WlO19ojQMCOTtE8R1T7AQ U9kb5rqewCx1SZyVOQvOKnt0eVsIctc1u6/axkJ4YVmG/g4Co+Em81fLWZDM mnV1lQkB6w0jrlaNhfqSIt7EQQKynzcRJ8NChtldWqQ1wd6qyMNlo0zURsh0 9dgR4f/SYwNqmTjw4ehrpWMEpQHzglHARLCXWLycE8HNqLuPHO8wAa70yyUe BJXObUoKvkz0Z6yKEXgRHKLGZgysmLCkW66MPEvw+Ve9XN4aJiZ7JFc2+REc vBiidmsuE+Xj5WNDVwjW5ShKbCcM9Mh8c34fRpDRlqy2vYwBrkjTHPUbBL7Z LH/Xhwx8si2004olKIkLyLwRxMDCVIX2b/EE07P15sQ6MHCJMViqk0yQXuY+ TRkyoNWkPNH3D8Ffllnn9SQZ6A57Vi+ZRdCbo1lItdFR55B86PorguIW89HW 93TYrOreGJpPELVL9mJ+Eh3vzTbcmvkofN/SH9W/Y+lQ2TpA7f5EIC2h0HX6 Oh1DM+zbYUUEWW6HP0qG0sF0Zr4rLCb4+/7+0M/+dLgU/h00VELQbTPLMeMc Hd1/PJNR/0wweF4nKMuLDosb/MBdXwgQWWzf60LHzgNrjuWWEeR4nVlrb09H 7J7V2erlBDWP/NykD9ExXmH1PqBC+B78bV7UATrmPThWxqkkMF6lWCGym46A 8WtKWlUEBRc8l9htoYMd9aYrj0bw3iR9wQ9DOrRXDn7eziAI8Hac7FtGx/Oe 9KWfmAQbMv2NtDXpmHUh28+ATZC8YeE/b+bS4cnwyZtdTZBgsquwSFp4H7M3 Bc01BEmhkwrbZ2iQbrrtdaeOYJe0k7PBGA181695WxoION36MhrtNIi9E5MN axbWk1nPSug0VBZrzQlvI+Aa32ke+UjDuYkSr90dBHOJ7c9bL2hw3puvVtFF 8E+o56hvKg0VoZqhKlwC69G2IpskGkJzzdap9BKEVIrv8L1Nw6zyuPeyPIJ6 e5O+qls0lIUvujEhdDz7henxSBpcN91TbOwjUDoXpLQslIahoJUZrylh/u9e k1gSSEPV2OvnoYSAuY5I21yioSUtNvhgvzCfrDNzxn1pWBe4k/w5QGC+9esO vicNCdcjlK34BP8DC06STQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFVnk01V0X1sQnpVKRNKkopMmQ4dWjQaIMiVxzpjIrDSpEVGa6g5kyXHGR G5FMEQoJmWXITBl+v5eSkvLd76/vrHXWXs86Zz/nOXufc/YRtXLVs13KxcXV zun/s2f+WP1YXFzEyjjlVrt3Ntjrt7+yR/Iv+mctrskuWGLBbb5Jb/MCeCj5 m5S6zBGd5u/Ckp5HRttgYCaXCUJWXTGxmJ+Dq3jh4y5vQ1jor76g+GMWxRs+ vStc1Mc6gzinhMRv0IrNk1Zv08M9z65NdkHTmOS5HKHmcw7GL4UNxZ0JqLQG FYmydZEo4Lsy1Hoc5qH2mzKf6EJr/4noXUOjsJV1ERqUO4djQh0tlZ+GoOOc +sfbUQ+7R02UMo4MQHXOfIOZpj5q5bsP6nzuxZtpuWnf8QuoXrJ+rODLJ9BP /Lzr72aMtgrxP99ut2M3UcGXLGyB6hAdr90+LahYu6YqK8IKcqvv1s/pNsE9 6gN3c6Mt+KvY1nVvGvCoT10xrtkeUrolggXn6rBMS4v7boMLXg4fnBRTq8HT M943VHzccEd4cmb20Vuwv84OJhnfhIvtw5vqUpVIe0/eCxT3QE9L+Q8K3xuM LXNeIvLIB/Wyt0/llpXh1dNHHfGFvjD9uttfhl6KGW+Xa+6HH2AuTO3Z6bBi DCQHBItyB8ArLeadYnYhDAVPerCPBYPLZ0DN598CfO9m9nJ/D4NQiPCdSr2X 0GsTG1wdRUVXI/NM8HQeInfT6iTr6GBPce1oS3uBJn2r3IbTkXBZ6acveT0X z9rv0M8Jx2C+5+PwPoMceL79t3CbejwmfsU2Rmg8B1NVWbWu9wkCXmrJbpNm g/q9vYtNScJfrbLHzM5noKS8rWUPJqOl27XmFyMLLme6+enhTKxJSR+2tMxE t+yjC3JWT/H4ev2QhEoGJqNTAxPN0rH1joJ6mFAGZBV4D25mpiPnxxlb2RkW NtzrSjCZSEdG+6tukXoWbndoN1+SYQHS8hon01kYTBBtUPFkocC7mx3NZGHo /ZX3VD8WpEZKi6cSWThFiLWPBbHQnVDldCKBhQ7bd9OgsXB+LtTFJY6Fw7uT /SYjWIiN+V/7vz3vuW7ubRQLZtU6s2ocv5E9MV4znHkK/aOtMxzeLS/Le85w eBQV5uK0ODoanFb1p4axIGzOfy2DzcJohbU/VzALOVY5xrwFLExVlitlX2Jh 5qqy7cElGeB7cjom7jgLm1dt2LP3bAail/ufrNnGwpLK5syZqAyk8yp9lvmd DrHo1uW04Qy08WitdmhMw5vdG80DmM/w8G8oTuQ/xcTld8HD+s8xn8W9aSAz FUWhB6c2/skBqe6XfSWXid8GypEj9S+QcdHop0RNCpQW9Ay83ufj48u+f2Q3 pIBtPc0YDiqAZmbgBnv7ZChIilyQcypE7m+NXIfqJAz0bl9/5EoxxI+YTX+W TkJt1MeCZ9GlkA/22uoan4hVFa+26I+VITAkJHhyeSK2b30i3aT7BklN7irf Jh9jyLyMV6e6AnFu+xZNBxJwbefUVRFKFb5rn7+uPRqPTXu0lq9d/g4yi1Vj 3L/jUDNRpNdfVw2bkkbDD9vi0OYiMb7ueS1yUxiyV7hjMV8br73C4wPs5CZ8 43hi4C1uKRjm2Qj51/1b43dEo/kPiQ6jJtjw5hz84x6FLSFtCVfym9H58PFc RU8kxDo0DVg7WhHS55KzRzsSFpPOi/axbRgvNdR2qouAdGDjG4poB+h73ll0 no8AX49MSfeLTsjzMoSKRhk45usyuFW3C4KUG3zi3gwoZDAEd/H0oMldpMtf lIHGuxsH11T1YvOM4ZF99XTYa9T2Kd/vw7lQMUG7e3TUHFJYcSO5Hwz8KotW oWPZ387xrHsDuPRhbHjXEjo6HiTIOZkPYs8tvST3Ohoobduj7I4MQX4Zy/de IA2OymePe9gM45Cds1unHg3WAv/ymd4fgRnlYXiINA3U5w4NaTajiLHRbNPk p6FSyD/2vOIYJBC+6P6dijy5JU4xS77Aa0r+xMM+Kjy5jJp/l3yBtU4i43sD FSJU8beqjl9BjDYMaFVQEd1+Ldxh1Tg2VUuq7S2k4k/OrBk7cRwhTz/L735B hW3MsMyVvRNILB8NtWZT8Vnn8rOs+gmoVEdWrX5OxQqzbFdD80k8uPQfX+88 KqytA0cP9kyiVONEzL4SKvxjyyXXaExhUIuyIeEdFdLKKqHVT6dwcZ9ngEML FZMDO4y3zU1hzTbfXJVBKoZvr1pWokzgl84+4w8znPU2PssQv0mg2KX+sTAv DSKCyZ+6cggcPU+/eFyUhttKD8z9BwlUWTklzSnRwG8xISG4ksQOVd4Vvwxo oJP/iROTJJHFXCcl4EbDiZH5orUnSagEbPbeFE7DL1UpYo5Cou7CJ8evWTRs FgqzqrUn8TmO6Lfj5GcnpaXttDsJr5gDW33GaUgfMPMT9CWR6BCfs2UlHbbr zknlB5E48q0594AkHfy/bZXCqSSabM4em9Ohg3iduO11FIny8o2XcZOOnHyZ ew7xJHTcDrssxNMh6Dmy9esTEk7DX1TEquhASs9+z2QSRpcS3+dO0FGtMGJv yCSxrnSK+WQ9A6XZ9eIpqSRc3YnEMWUG6l2rP919SmLFoalhaxsGyP6k3KVp JLjiBXbKhTKwcSjs4XEONvrbRDV6yUDQISUBLQ5e21o52tjHwH5adJM0Bzt1 pB6O4o1AX/ORgikO3xMBoilbJgI/ky8X0zn4lEy5iaB5BDKVyTNiHHxC5IPB PCMCJauNlXw4eoZcGz0sP0RgQfi6UDVH7+ntYcSZ5ZFoEnr4/m8KCTwTXV70 TyTaJ2UHJDn4wt0FxawbkZDbS0xqcfZ7mr0osYsdCSvHzPf2SSRUzcwjo6cj IaI3am2WSEKe/UL8tWwUnC8WVWpy4rUkaf/qiFtR0F56bPjwYxKb+D0CtpVG Qfa22jXBBBLDbif7TZZG4zRX9dhsHIleW5GjJpRoOBCptmGxJGp0V55yYUfD a9eYv2gMiQTH3itRnPfGuPBqAJuTL6VDY0qfLsZAm3LKXyGShNQrsZ3yxTFg 6M/TSxgk4re/3WEgFYsgtdzWYRqJm5VZYbsTYrHTMSZvBSf/uQsRv9LXxqGx 9ZDk9nASK2c6x0cfxOHCbXXxQ6EkWoWPLxrMx6HU4ALlVDAJ5ZRzQdevxIMy TYd+IAk+W/GiU1/ioTkWUWvsT2LAkz//o2UC+N/fGDJ6QMJA2zc0oz0BNz5+ jHLy4+iXN+AW0noMk4nUO7fucfTdyaMKv32MYPkIDy9vEuE/ws2F1ybihSW3 UMVtEsXNZ/ftrUpEjG7pioZrJLo1sxN67iZBV/P8lyfOJKYn3X9SVJPBTJd2 kr9M4nBZtszco2T8rPL/EmhDIgCGOcWcf0Bth7dGiyWJb54+N9PlUuDw4cFt AQsSmn1JbmWBKXiymW6jbkqCe+cjv6V9KRhaHfbjqhGJ/PV2bFlJJspVW7qn L5CwY5q2n73JxLVlAfX2+iS8c1XWnK1kYsHcu+zTOU78Qy1sZNalIiyxPfWY DgntykllzeupsPgp5fH9DIc/wVmtuTMVvUt2ecSeJhEkoyZff/Qpym88fCSj xjk/fp+d2talofXlIcaeoyQ8cF9hYDwNAYqlGSPyJBR1zDt/1qajYuqPnvMB EjMRtrOinDrvIDsp8XoPJ75yofstYjNguZ6/p2M7CZE5rTF2cCbyTK7vLBIi UW9MF1jrl4UYlZYOmzWc+3JOteb5nWeQ4vea4+UhwY5wruK9lY1v96Uk7vwl 8NnRpnSVBxsi+Vdj8mcJyKivb2k59hy/pIfoJZME7rkKnByseQ67Wavo8CEC WT/ZeUy9HGg3Tp490MXxV5rYsqovB3sknC7FfySwy6rDjMclF59PsvM73hF4 IHhZzm8xF8vzQ04OlhBw5ONXcqC/gFG+g05pLgFVRkAvUyIPDxhvxR3SCRiZ DjoLV+TBUyP90HgCgdX5OhuyTPNhKj3ADzqBb980mJfJfGwxeMgtHEhASFaK u87vJcK44k59vEugyfr3xSLhArxyU7526TqBTsLDZFNOAWq00ii99gQyzcdL b0i8wv2cFV63LAko7rrqw0h+hWC1vfZLjQg4OfG52GwpxNals1s8dQnUWrHa WyMLsWA/zxpVJxBCUzkS1V2Iv//2jAicILAsiOnot6MIxBvzGaWjBP5pGjGJ tC2CoTfPUgtFAjdM+UY/ZBTByvuXhrcsgZUbzHpLpznjuQ0bvQ8QSFWzMK5X KIbrzvcWHpIEPkZGj815F6PZdL/1dTECFL4yHqXqYnzr32zqsIPj79i9/3t2 CXbt3Mv+s4ZAm/rZYJ6oUuyXqmvwWJzCfwHqYKfM "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Xk4VmkfB3BpMTUoUZYYlBAtjMmE+KImleUpUcwQGUaoKAlpKikTydpL osYuIgmlSXaD9znnZMtSNJGiznnsZBl67/ePc53rc53r3Mvv9z33UXbxtnYT FhISSiTX/+9X9yoKR+nzEdedsM0hagqVip92LbLj41YuL8VYfQpaW074VZ7j w3Pqa9XmyknkePi4TN7hQ+mATp7Y/kmUPnVKT3vBh+1wR69GzwQE+mbTXW/5 GLjVfDssYAIuFvVqeQt8JK8y3nhw3QQOGXSu2qRAQV5IwqmudhyKZz8MLDWh EKJQtMvYZRxyOzPKRH+lwOzViXgnMo7c1usBh0MovEGgZnXxGILDY8/PplKY NZDsVzo+hrNvXpeIV1B4sCRNYK08htX9vJBNvRSco5bsC2saRYKy3sx3i2iE Ho2w/Rw6iuBb3FUJRRoxO9d+yNw1igFepaqyAY2yda0py5eN4s/XD7K8bGnk F6n3BtEjqC14GSpylkaOtnr2dMQIkqys+/WiaRTKuoeXWI9gUMVZTDuXRiTv ju+EwgjUvj66IV1N4+Hjp49Uu4eRwe+9KNVJQ6Oz4ZL4tWHczzqw0DtCQyl0 f1rNhmFkqfeHbxdh4OZ7v6SFGoL02NsGs3UM7H4vahi7OISQyLRvLbYwuDDu skdUbwj7fa/3+RgyOFZcLKk1K0DmPfn/vDNncHfl8rDoKgFc5bWjq+wYWO7j dwVFCpD0vWS9riuDwUdut444CyDCWIg6n2IwVBv9IVlXgBumJl3b/RiYHk/R GpMVoMhNu/hEEIOQiiT9Q185OM+flF8ZzOCT1NqUhI8c4sfye1RDGZRrxcTe ecmhLlZf8UU4AweTZSf1/+Kg1OKg3nGDAUpyPGeLOZyIaTn8KYLBsr7JTa0F HOyH4+jxmwzsTfZsq83lIKXf9XAqkkGbkI4wnclBtblUfVUUg4At8Vt5xBpF N6M2EUuG3YlvzuBQ5OX83pT4vNF6fRviv63Cr/OIVXRr7qwhjqqeVHcgzvAx XNGRzuGP+HrmOHFq4U3L28TPpNu8/Yj98vh/2hOfjHC9H0ncYLPOpTuNw7nv B+lsYtZ9sbMTsViq+7tKYtVZt8S+VA5ePanhT6MZ9AsXXVt5l8MNx1Y2K4bB TfO/th66zWHS5IxKVCyDsm9+UsmP45B4NtTGJ45Bs7XstHwUBxOnnIq2eAaj Utt+/nyBg3fED00NiQyaFoctW32Cw6hsV4hNMoPXh7MdAx04aBb6m1+6x0Dx nNSUiBWHHo9kiQMppP9Ls89mG3MoXzRtdSGNjF8YIOjbwuHNs/Sfp9IZuF6Q W6mrwKF13cmU5gwGzt/pC1zFOcDxa5BiJgNDMaF2/UUcLH07zw2T581hN3aH TbLIn1IL5BH3FUBGjWXRekS09TEZv7TDUmKmh4Vj0En3Y2T+bXdjFgQtLMqG d8cF3GVgEiozWtjIolRrB0/iDoOTyqpaC1UsfDM8243Jfn/xiRBLeM5ChbH9 QZbUp2J287r9T1h4te6rzCF5cOsoz+YKWaSq21jkkHyZ5j22eptH3rdLy993 ieRV9c2UVg4Lyv/Vb1n+DKo/lrvczmLhNxm79JU3Ay36an5nBgsz6+duH90Z bPWaL69OZzG4u7VwwIlB2r6j17SJ5TpGNd4fYTBsubpZhPiZy3rHLB6DbmOv ci3iNUeGfj9jxqC3UWCYRGwx35BlAQZfeq1GfiTjq54xKtnxI4PpuMUvZ4k7 dqtF621jUNKfeOZ1Jovh+neOB9UY2GoeDX5J1kcFv3gYrEjyJh5j2JbNIkXa UrxsDQPPTwqDW8l+PDpl1ZVFSZ6Cs2tu5bIIlkNDoTADH3HjGiGy//bbwUan ZmiY8ZyMvPNZzOyeunyYnB9zQSvieh6y0FZI3eM5QOOPkt969j1iEXn/X52o HhrDqX2O70g9e3vb5z610rD9U2ByuojFl8SArMD/0gixqHswV8zix2dq6oZV NDQ7N6y8RPrR7tXooVNKQ/LfCpm5pyx4nqVWvxTQOCR/+q73MxY7H42MmWfQ yFSPEzEl/XSQSpoNS6RhFC21/JsXLK7LRshKRtH4eeccXVXO4qCS2OoPV8l4 rilx3pUsso66P5k/T0NlxUiqRDWLqqc58fHeNByeVLSN1bC4P2MRGeFKQ2ht 66XaOhbHTjcf7ran4e5lqPFHPemP0Ur+FR6N3+lRewOSt3O6yXVtu2jEvZ21 VeOzOPFS1/7WDjLfGb1li2gWEUHxSi+20Hi1b71GI0PycHHp5/0baAwJPw64 3MQiI2WFg4wojTMHg3V5bSy2npW+2jJFwcB1mQzVwULXfmOk5XsKoRd2hC+8 ZvExcPH7Y80UhkoGDQXke9i489tXbCWFedtOg3vvWDSNb1LjF1LoaeodWfue haadSkFfOgWdGOcfHD6wEDfQ/iKdQKGleLvfmQEWDwpyC+/FUiiU1zfcMsji 1EyC5t5ICkvC/jbvI/5UULFXMpzCr9WBr2I+sXg8YjS9cI3Cve7kb3Z+ZlHs ZGdkc4XCoF7DQhuxqVdebc1FCsLGy7M9yPfre8ql3iKIgtdn7fWzxDoHuOtD /hQEz6KjQjmSB02bhCwfCnlKrqJPBCwMXer/afagIOR9LL9liNT78oYlHuR/ 3NkYk9szzILxv6Xq5kihNr1sY+cIOS/mF8V6H6LAv2dUcm6M1NM/2v7mfgqS 7kO8wXGSj7Y98immFHIdhSe0yfkyoebfGWFAwT6oTs5uisVm13T9AT0KD429 45KJB2R8XSx3UMiqMlv/D7Gcz4O5cl0yv+6NZsUv5PyxtH5ssJ2CohX76Chx Y6X59hodCsUyCUwSsQc3L2/2PYWlKuaXu4hfvk1Y3K5FIdM1033NNIvAKIV4 720Urmwoi+URzwg5XpXcSqEp86L4deIexWzvic0UDp9vT39C7P/qJ7duTbLe nDVS/cSNnb/s4GtQ0MiN+23VDItq9ecf96hRWH0oyS+NmOd7YVJUhYJEw95T 6rOkP40wllYm9TyCg+nEz4e7pJy/o5AdWvat1BwLzyWnxY7LUdh7bXddKfH/ AO8I+9A= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.21875, 0.875}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.23875, 0.895}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.8999999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUFde3+LHEFntXFCUaYxTFFrEy2Bs2jJ1o7NhQo8GGYi+xI9ij2I0F wS4qV7GjKKBIVTpSLr2oqOHlrXU/e9Ya11s8k/x+7/veN3/d9Vl79szec87Z 55x99xnT8bNsJhU1MjIaX9LI6D9/ly3+vbnJ6nDduNsrdT908lC6e9sHeQx9 JlyhqPebNdb3hEeYLKrseem4MPqjer0Mv9nFR/Rh9GH0YfSLn3kbbDPpsejD 6MPow+gPL11m2k/dn4k+jD6MPoy+2fUadh2HhYg+jD6MPox+kVlfTy5u91L0 YfRh9GH0U7bWOpfQKVr0YfRh9GH0h06r3/LR3VjRh9GH0YfR13X7xuPsgATR h9GH0YfR/7Zuc3OX4ETRh9GH0YfR357Xxn3BjymiD6MPow/fiy/y0jbmgvLx acdmPySlKjH72q6YMjNY98rhYDnzCbsUa13/wTmLnwjzPPjoettOrTtcF0a/ 94QrqclH9KIPow+jD2Mf3ObM+uOlyjsr5zrpZjxtli7+8Tz8g9GHuZ77cb32 /vhfZXBcichJvymHai0q17BXquK4ZdqSkWM36Wqa6ld8O/SYcNrpPD/Ponql 2OFtbX0r3ZDreZ8wcu39R6z5aL1jQ5pcD3N/rX3cr+XGPSFdF4bqzNxPDjWb PVvZfiaw6cZxQcK5T8o4BfUJEHaPWn2k80RfYRmvBp7TIK+vfxsfYbvHj2Pu lrkgTPuU+fbAtfSxXvJ+Yext67DtRqMBF4Ujw09fvTJHJ/rm+cmh64fcF32Y 6+/Ujxt11PeO8J5nmSPsIx6Kvt68WMqma/6iD3O9/ZqCYRZpT4QP7VvTxMgo UPR9YiomDfMLEn2Y68s6bPotbt1z4fkDXRo/rBQs+jtcTV7XiwwTfZjroxvv PX5mT6iwddFDjZwbRIj+jN5m8YkZkaIPc/2l8BNHHU6/Et4aNtz5zJ4o0Xf7 uC9zxPIY0Ye5vmev8IB6kdHC+efHVHJuEKu2X/Dh2Z3LxKvtZ2Cu96gfM6i4 XZzwxE2Ttjqcjhf9eR4n0023vxZ9mOtr5yc+TcxIEH4yeUaF0d8lqvFhvad9 iTrJ6vg0MNevepY+wG9hknA7q7mbFW9VznwJM//BzGcw8xPMfAMzf8DMBzDx HSZew8RfmHgqzzOMH+LPvbU6vZN1vCXxB+Z9wIxPL5Mu9u6P9YrjrTW3F1gF W1ZYFXIubdovwmFDU36c++Cg8PPwbU+Wu1wWtnI4feKHpjeEXYZMjA1MvSvs 6zbH3+rqA+H9EbpZ50r5C3dY2XPyVPsA4Xlb/GYurh0kXLHt9xNbLXsh3Ltr +PTuZmHCcYnjxr/fFi5skps4tZxlpPBLP4sWMYOjhN8Ned865ZsY4V7HLc/e C1N5QrOi5596xAl7LuvR/NSEeGG/EqVbXWj/Wth4lPWZLXqVLaIqeO7ySRJe 3XqI2byfk4UPXq3eYkk/vdLXrnyRSmnBuszqky76/PH+aw/7OKDXkqfCVpev WYR28ham/WCbWuN8ex+4pcDc/8vtdc+Oe54mPDLhxyad16YrCyoEVhj66wmZ 39q4LC6+sG68N/MX10v/N7D0fwNL/zew9H8DS/83sPR/A0v/N7D0fwNL/zew 9H8Da9cf+E9/h5nvtO+H+bFy/fIP3x/3lvly34QSrm4198j1ZlcORV+KPPeJ /nC9/khk9Enh9m4vpidcTVF+rDIupGj8Jbn+g/nNku/K3lLqPB2b8vJkqhIR f8O137qrSsrsIz849kiT+bpLUM7S3C/SlAX1e5z9KspDKe4dcM72lTpfr356 Z+zLnWlK5fKlh05zvSjzd8Pb14wneR7WfWJfoz2z0rekquPFML8TL7ie+V6r z/zP+or4wPoKJt7C3M/+ReuKZ86niz7xZkDZ68lTY0N1Le5v6K0b6mZZtezC e8YVVHZo5llr0pvnwh7NcjqffxQkzPO5X+WBZts+nA8QeciApBnukf7CP0V1 XZa+5aFwctSDBxvaPRIm/sH4w/1PN2g/y6T0bZG3bXC+0YofbwmnPeq559vx 54RjHts0HX/+ojDjS9Yvhve7q+K2049Knlf7u9uw+NIRN2U8ynrFIM9NnRA4 //ht4aklforeW+Ar18v6xCA/MMTpSelHfsJlLt1L27EtUK6X9YhBfsS2f3z/ N+r4fWX3XD/2cLBcL+sPg3xRhdGx1UuHCl8wjklufDFCrpf1hkE+wMcuOrL2 K+Eer+fnLIiNkutlfWGQb+twbdb3O9T4cPbm0rk/zIiV62U9YZC/r+KT1q6e Gq9r7Vmd1SU3Xq6X9YNBPin1wcy6J9T4snLuxjmNliaq8ZD1gkH+9N5TfZGW ajxPtd6eUaZkilLTo5HHvOLhMp4isnYMKxkUKNx1evn81v3uCpex/Wi1ycJL eOPCdqU/XjuljkfD84nPPO/wwpfJvl3TFIfXIfYlerkpQcfMFx7/OV1ZFDCm mLf+heifXt/z+1Ev1Hi4tPH+IQcX+an27ZqZG9r/vrBbH7+oujau0l8vb+jQ fn7tZZ+Mjx7PklokD76iI97CxFuY+QlG/0G9xzE1m24VfRh9GH3YdqabaWl/ X4nPydljk+fsDBJu5JneLfLeS+GWl3UDGr2PEX7quvZ9ROXXwjPnDTyxvUmK 8JdDagzt2zVdOGhX+jKjM5nCDdcNCQ6/ki08d/7lZpfv5Ar7TDZe5ez/RrjS MKewmRHvhH/sEduiT+J74bNteq1tmPNRuKDBqZcFBQXCxPsL35u+qN8+Q8F/ GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/Ifxf+qtI9W2L8kU/2H8 h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn+T5o2HfuGTJf7D+A/j P4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/z/accplfIkf8h/Efxn8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/9eVNH+e1DdX/IfxH8Z/GP9h /IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP8t552rYrslT/yH8R/Gfxj/YfyH 8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gf7i+R8UHe918ZH/G+5D9mmF9Xf7L2NyR 4RnCd+ZP/u5xvSzhBXFJ8ywnZgs3HzzzgseJHOHYGxnZX6XmCmufz3yEnPgM E69gxi9Mf4ZpX+/NIfNsrtyT/CL5yXLZyzaW8k+X/RD7G+tquzpfcwoQ/2Hs Wxf4zc7GZ0NFDkt++f7ot33To0QOI192rMHRIiXjRQ4jN1mdMviKSZLIYeTX J5z/3b5tqshh5M0O3giqfDxD5DByx62mZmnnskQOI3/stHrFQ+8ckcPIa89K CjnimydyGPm0Mf3Nl714K3IY+ZX+nqtHx+SLHEZeqnO1iLZpH0QOIx9utrBV 5fzfRQ4jZz9lEb5vqoftaVnfwexHZ9ePaGVqdV5488/LZ5q0P6Rj/8j1MOtD 9oPIYeQ8H87vZ/dE9/qJ9L/2sbet+v+xz4F/dhuyxyswUjjEPfNdlSJxwg6b rh7zrZkoXHXG8iHLW+iFRx5taFSnYYbwCZd1w96YZwm/Xak/HdgxR7jn3EHF 3HvlCe8Yf2Hk+iFvheMG1/SYODZfuE0XxxJW0z8Ir2wRZWs8/3fhpo0rlyq9 pOCT/xO062nke4t/2L5jwzNh4iscfGtDarFr4cLEW/gX3abD7XKj1f8LDPEX brx/6KD0sgnCxGP5/8Kx7sejDZOFic/wxNHxv9l2ShMmXsNFfh12qnSTTGHi Nzxoo1eR+O+yhYnnsNtikxE3u+QKE9/htGkr3Pf2fyNMvIctRyUUnz/ynTDx H97Yp+9om0nvhZkP4Ih27p7N5nwUZn7Qtgfji/YiPtIeyGkv5LQHctoLOe2B nPZCTnvIfGRoL+S0B3LaCzntgZz2kvyVoT2Q017IaQ/ktBdy2gM57YWc9kBO eyGnPZDTXshpD+S0F3Lmb+SMP+Ts57X75/9ufp75f0CwW82HO9V8bqBXuOm9 dx46+LHVii3P7x7TxfW56V2pwF/yefVLDqrp1DxU2DwmvV2ee5Sw383L8afv xQlPP+DkPOFVonDppb2U2nl64e/dSzokrskQPvTr9Me3nbOEszY+/erA/hxh K8fWCxedzBPeOn3n06GX3gq/GvX+65Y++cLN+451LPvkg/DS9rcDX4f+Lsz7 Jt+ozWfzPjq1rVzjsHuGcEzk+ecVS2UKZxxyHVYtW+Ud1hZVV1pnCR+rUGvH WotsYeurXkNyt6o8ynFf0LvFOcJGjSy3TwlSuWJSvWozbuYKX3K+FRhaK0+Y 9Rasjc/y/m2uXirym5qfZn1W9X3m0Hpz1PjA9cQDmPEPM95hxjfMeIYZvzDj FWZ8woxHmPEHM95gxpc2/6Vdb5JPlvynYf0p//cY1p8w60+Y9ad9tb31V/e5 qzRJvOY3onyqsvlFRoNLTx7K87X5NW1+TJu/Zz1Kf2T9CbPehFlfwqwnYdaP MOtF+X/OsD6EWQ/CrP9g1nsw6zuY9RzM+k3y+Yb2kPWa4X2WXxPRzXHNReH9 3xfZ6T9ir+7fPd/fpPigerYBj6Q/2egsphrXfCG82fG+z7per4Rj9zUtv7hj rPDyxdleLYeo47PeqGtTEqep4/NGu5VVD6xQx6f7hqNRTfzU8fn7otIWJULV 8Wk9beam6Dh1fO4bGRB7PUMdn8m9v+uw64M6Pju02711bik1/q775mPCgKpq /G1Rz9y5U+0CNd60zF0SFFnwyfhlf0r/WPNt1oXgSSrv0D9rGzEoU65n/yrx e8fPOX1OquPbeuRwhwGuWXI9+1uJ50Xftb6epuob3Qu7ePOP98D17H8lvs9y nNu8tcqXWo3JbWWSK9ezP0ZuG1Fwzm2+ytMORLc5Oj5P1te0/4WoWdcnGgXK +1jReN30B9XV+Jzxa0G1QPMwYe/4Gne/66nGa9cz9y8fMI8WdgoYsiXAS43f rTdumTisV7xwXQ/jTusCE4QDpg2vVG5skvC1zbGJlsnJwrP61PO+7ZAqPHLm KdfcImp/KuEy97vO99X5/cPR9qYvNqr9a9jK4A01n6nzfV/XX+d77lL727Gf OsZkv1Ln/z2rijzZeETtfznjDrR7mqyuBxLnTmpo56H2x+6Di205maeuD9pN eLio23W1fzpbTYlfXVSdP9bYNAsweaByjPmjjuPKq/PJiy7bvsl/prL2/1Xt /7O0b5TToDdTy6r5cdZvzIcw8yHMfAgzH8LMhzDzIcx8CLPegbGH9QL2wNgD Yw+MPTD2wNgDYw+MPTDrU+oFWL/ArE9g1icw6xOY9QnM+gTmedQj8DyY58E8 D+Z5MM+DeR7M86h34Hkwz4N5HszzYJ4H8zyY51FPwfNgngfzPJjnwTwP5v7U Z3B/mPvD3B/m/jD3h7k/9R7cH+b+MPeHuT/M/WHuT/0I94e5P8z9Ye4Pcz/q T7gfzP1g7gejT70K+jD6MPow+tS3oA+jD3M99S9cD7O+Yb/AfhNmvwmz35R8 qEGf9Tf6MPow+jD6rM/Rh5GzXme9y/qS9T71SOx3YOTUU7D+Rs76W+qDDetv qSc2rL9h1t8w41H7POoxYOotYOopuB9y7gcj53r0qa+AqZ+AqY/Afq2cegj8 5Xr6O4yc69GnPkLev6H+gfeplUu9Ne/fcD3tpa3HZj3Iehtmv8D6j/4C0z+Y /2Dt/KNtL+18hJzxBDMeYd4XTPzR3p/5ASZ+w8Rb2htGTrxEDiMn3sFyfsDQ /jBy4hHtCyMn3sDEE1hbn6+tX6e9aE/GM+0n/9+SzzXUQ5NvpD6Y+vBOCbdX O5hlSj15pk2vu4mzsySfTv07+Xfqjak337Fv9dGzT9R40q906XjTKtmiTz0s LPWN1Gtr6tvk/yEDEw/xV/5/MrD2/w3ksLb+Hnv4fwvm/zCY/ydg8r0w/1fA 5Hth/r+Aef8w7xMm3wvz/wZMe8LkI4jXMOOR/kx8Jv7BtAf1+zD1++Q3JN9g YO5PvgM5jJz8B3IYOfkQ5DBy8iPIYeTkS5DDyMmfIIe174f5hPcD8z44n8D7 57wA45/5gvgE036cD+D8Bv2d8QNzHgPmPAbM/K5lybcaxpP2PAn/5+IP8Rgm fjL+uT/xHyZewMQj7f9b2vUN8YX3RTylv3P+gfmN+RAmXjK+OG/AfMd8CBNP Ga+cL5D1i2Z+JN4y/jnfQ/xgPUV7RJsXndz5F5W1//9gP+Of8xTMd9hL/OC8 hMyPBvuIP5yHoD1ob9qL5/O+kdNeyGcb7V4d1kYv8zfzC/k2ng9jL4x/MPMz TP+HGU8w+2WY/TLMfhlmvwyzX4bZL8Psl2H2yzD7ZXjy9NculV8my3pgxqSG RdZOSPpkPzXwt03beju8Unq3ajImv5M639efUXeEw5aYT/Yjpx87v1nio+43 qte/VOb18SRFe76D9x3X4URso85/zLNHmniUuHNf5nPG99EZv5ptHp+hLF1a /YhbxAuZ37et67jJNj1Zadg6rVqt94GKQ7ECx+BrMcr4BdsPue6PVQKDnBd6 Z/yxXji8c3HE7EzFfXTdhyUCnuumXlvQs8/aLKVojuX201P1SqlYu3mRDc/p 3g/p6rV8t15pntnymVufY7olpRYEm4XolSzvtI7VamxT/KZUTCv/Sq9cyV7m f7bDgb98PuVapZwfl/nrFZuqt2JjJ19Rzq03S0i5pVfylh0s1v7g9ULPr/RZ vWKny2y9cqHZfKvxU1X5nz3PQn8dvsq1aVjRQOVlUtWgGnPV/UJh512CDiae jfZMVPqOzE8dMEKV/9nzLztu76s4ZmaC7C9qlGlmOmxsnPLFSzu3ZbUKPx/D +BxhUTcza1KssnFk3yvRWbGy/+iTMePUrfnRym99r6Reuajq/9nzNBUz3uw7 6hKuaOu7OV/TsK2T65u2zyW+/f8+b7MsfvPNgbUeyHp6ctEmTTt/uKkLaTHc rVvVTKVySfPaXev46267hzqM+5ip/BTdq3HAfS9ZbxN/V7SOfTTRNkupbb8u oEOPANkfMb5Lxb1/9nv3bOXZLSfz5zf0st5gv0R+Wnu+Ryl43z80Up2fted9 0k1u7y+zV52vP/f8D+sd4xJXd3ZooJ4X+K/OAzFf73MpO2fz3P/G+aCKl0t1 znsl8zX7n5PZGfpdjdTzAXLeudzDu/EFwTJfM9+Xz0s/mGL16fmifU9mv07o 6C/zNfO9WU6VGfr85L98/oj9xLzTLZvZxqr7qW1F3L1rBWYp78ZOTNiUEq+c 9z1VpsiaKOXNtFeOMzbFK3lrZx48lhSlXJpYy3/whTDl46F6J4vEvVYW7asQ 9UVsoNK0X/iMsr8kF3qeaa5xXqvZc9Kkfwzd+7x+n5Iqf9fyeMfIKL1yukq5 9IjGZ5T1NUNMwh6lKAe7n10XkeOnVGr1psq3G/94L7t3h53p6q+c6ljeyf2H 14p96Pp1nndeKtbLShRJtX+ljO09v5vXigSlflDPJ8vDXihLzx/+9kBHdTxz fmriLOVsqJuf8m2d5h2r+qcozhYPQywbHdY9Pept5j0wQwksbml/0CVUF/Jb 8ZLx5bOVJ+dLOkeHhOhaOTves87PUlxmHb+44lqo7Ae/OD3bd+b7FPFnrMXA nbfC1f3gXz0/pVtgMu3jU3W/Wdh5KqPQ6PjqzZIl/1Nlp2fnwXFJSsPEDrtr +bxQzr5r+dbBOUnxeXBvesS9YKX3/jPlnlWKlvVdEY8WQXWLRSsW9aevXFU9 /rPPZ7H+1MprHura5UVChhJWvNvzlmv0sn9xKmFxbMgovTJm64wmIypc0Hk+ vbpk8Dm9Uv32mNeLJu2RfB3rG+15wi9sMnbWuHxa3r/poJCfj1U99kk84jwd 9nG/Xw59mdZs6jX1+sM1nCZ7eQvnbzbe7bbxvvCKza6DisfdVf7s+SvGN8/3 7vf1yTlVnsj92lqfyip3/anwlVV1j93IfSa8dFXY8lmmKhNfuF+dCYeaN2of LPJhE+Jt5pULEc7pcqagydcRwl5dpoVHDAoXJr5JvVD9Vuu220WKvM/WDi9m m0QJ73bab2bdJEZ4cYFj7a9vRgsTb7nfw7So2UaPY0X+2r7oym/axglbjJkc WrRrgnCtV93vhwfHCxPvud8UvxN1L8e+Fvnq/r7mr/onCgd1ar7m6shk4cvX y85zTk8SJr/A/Wx67OvoXDpD5D9+cebOUUuVS318NWt790y1f3R6kuBUQWV3 p46VOvnqJR/B+nLXoY4ZnbM8lVzlx4pfndQrX1+3md8s4abkI3i+Wxsj55nV suR+HjkVjZf3VXmEvus9+0HZwr3NWnUebawy+Qrul9FgYmJv0xyRG8XNm2M7 TOUT4cfq9LXNFd5lvGN7229UJr/B/SyrPLBs2CxP5AOehdy3GK9ynm+ZuV/b vRFOKJOfVKm1yuRDuN/momauBe3einy/TyeTKvYq9/Syf2g07506PvJ/sEq1 VJn8CfeLyNySEtY9X+R6T7d5aQtVdvktsF6E03vhVUm3djzoqzL5Fu5nFp3d 5dKgDyLvdLD4o4erVY7b1dbh8oaPws9Dvk49PExl8jPcz9F/+K5ttr+L/Jet dqZHt6ncat2ex847C4QbPljfzWm8yp97fnNFxcaLi9noJf9j2r7/EevVeuWr h93Hu7y9rQypeedESVO90tI4O+ROUV/lVA/PgNiv9cp6fb/qX/k8/H9+/nPU h7KJ3hNSlJ4FB0aNKRqg9GvhO+Krq8lK2WrWk974P1OOr3+yPsc+WbljEuic Hvf8s8+Lnqx4NmH8skTJXyV5eZSpmP1acam4zniATYRiOu2Gzf4vE5U2PT1e W1X51ztfau5/us6UrbGKnZOr5cOXMZJfnWv6Kj93bowyZfbmG4nR0coPV06O Km8b97/uPKr2PHth51N7fbmq/ahzk3Qe1caOcP8iQ0nrefNu2sHbot97W+ub X4300R3K73ni2LeZSkKdc7cXuF7T9d117nuv6AzJD8r8Uz/I1C5d/X8818ri +0cr1f+D/+r5110hzs2zvt8r+TbWd+vmJM3yNVH/71xl17REmSmZiv/Ifmub rfWR/OLAJQMbXhiYpNSffaVHonOIMr96eJvKf7RjfuW1/m4zIpVmnk6/HGkc r3y3rdyDa4OjlTFenepddo1QjN+VmXqozR/z4t6dxjVinit1a1exexmbpLQq eS8jaPFDJXNfb1PL2XrF5GQ/t/VbH+nurn9QbfblTMVtT4kb1Tec0xV1DFtW Y3eGMsh6uNWDFsE6x+0Dutk9ylLSdntVCpsXqHte6/jwfV2zlC4+8bcd6kUp 6Wef13nrF6/0rflTGatHIcq8th9djLYlKm9D3I0HvPRXTvT8YGHWXP3/h3wd +SKY/BJM/glm/w+Tz4LJd2jzgdr6V5jnwTwP5nkwz4N5Hkw+kP0u+UCYfCBM PhAmHwiTD4TJB8LkA2HygTD2sL/GHhh7YOyBsQfGHhh7YOyBsQfGHsYb9sDY A2MPjD0w9sDYA2MPjD3a+hjyC9gHYx+MfTD2wdgHYx+MfTD2wdgHYx/5DuyD sQ/GPhj7YOyDsQ/GPhj7YOyDsY94iX0w9sHYB2MfjH0w9sHYB2MfjH3a+h7y P9gLYy+MvTD2wtgLYy+MvTD2wtgLY6+2foh8FPbD2A9jP4z9MPbD2A9jP4z9 MPbD2A9jP4z95MuwH8Z+GPth7IexH8Z+GPth7IexH8Z+GPu19VPk7/AHxh8Y f2D8gfEHxh8Yf2D8gfEHxh8Yf2D80dZ3kV/EPxj/YPyD8Q/GPxj/YPyD8Q/G Pxj/YPyD8Q/GP+33ILX/L2nrw/h/iethrofJd3O+A30YfRh9GH3Og6APow+j D6PP+R30YfRh9GHyZeTXyM+TLyPfASOX/JUhH4GcfAJMPgBmPw+zH4fZT8Ps h2HaU2sP+1VYW9/Gfg5mv0b/hck/aevT2B8xHmCp7zPsh6Sey8Dk78jXcj3M /eX7oIbnw9gL4x9M+0g+2NAeMO0B0x4w7QHTHjDtAdMeMO2hra/j/yDywZyP oL9qvwfA+hvWro+17a1dL0v+3BBPYOIJTDyBiScw8QQmnmifz/oUZn1Ie7Ge oH2ZL2h/4i39g/hE/+F90t9g4i9M/4WJvzDvD+Z9wbwvmPcF875g3hfM+4J5 X9rv2fL/IfUufN+TehbqP6hXod6D87va+jm+d0p9EfUz1JtQH0N9ifb7muyX qUfi/xnak+fB5Kd4vzD1UHwvlfFLvob2gql/035flPECMx/Rn4jPPB/mffC9 ApjvFfD/BdfD8r0CQ/+T7xUYGDn9FTmMnP4t30MwMHLeB3JYW38G870C3j/n s2G+XwBzPhvmewYw57Nhvm8Acz4b5nsHMOezYb5/AHM+W/5vM3wPAeZ8Nsz3 EWDOZ2v7N9//pf+xv5PvOxjqWWHmO8YD39/lfbPeJh9I/SvMfEf/5Hu45D8Y z9RjUR9GvR7jifEu5+cM4436WPm/0lBfS39nPkBfztMZrmd8wsd0vsVHX8wW fc7ToS/n6wzXGzlsbOgyXOXRZgO6+73LEX3O16Ev5+34PnFMhYkl9qlccXfA SsVSPW/Heor2oD/DzA+0D/MD9XO8P+4n54kNLOeJDSznickPGtaD9BfWO8QL mHhFPSbjj/ZnPoGJ19Q7s56kfamv07Yv9YGsB2hP1qcw9XvaemnqS+mf9Efe F8/j/rwf6knpXzD3xx/6P+MDlvhvyFdgj/Z9sf+mPXk/rMcYj8y/sHw/xDB+ YeYz9FnPwvQf4iPXa7/n8E994/9sfeP/dD1jYd/j+Kv1joXVK2rrEQurJ9TW CxZW7/e59Xzaejxt/d2/2/dJCqv3+6vfKymsPrCw75lo6wf/7u+bEC+Zn7X1 QoXVK2rrE7X1iNr6wk/qBwupDyysHrCw+r//a99f0dYjautR/6vvO2jPg1G/ +LnfZ/mr9Y6F1Zv9q9Q78v2Lv7ueUVuP+HfXG/5f/96Nth7yc79/87n1k393 veM/9Yv/1C/+U7/4T/3in61f/Kv1iJ9bL/i59X+fW2/H/lDmI815HO15g3/3 73dp6/P+t3+f63PrCf/5fte/9ve7CqvH1NaT/t31mYXVY2rPK2m/f1dYvaZ8 D/TUaK9VuXN1n1u/+R9WDCtV "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvdv1lUUh8/bKbS0BSpFWmhLKUXbWhGtrOJCxVmkImpRkCEKSEGoE1T8 wb333v4DGrcx7hlHHIkjGo1Go9FoNBq3fj45T2N/ePK999xzz733rPdtXjGw aENRRHwuisXBYqbYVRwqZokuUSfGiLHiCDFbTBflooi9C0WvKBHniU1iiigT BfRGilJkR4k+sQO2R4kqzvC3WiwV/aJGjBOj0fX6COxVYK+ce0znDsvFMlEr 6tnvd0wSO4kJsCNrjcytO1lMRLeFr9dXiZVivFgv1okmMVU0s6+Nr/ftIlpZ b+fr9WPEElEptojNYpqYK2agu1EM4MM5YnfsdYs9RYfYjVgViFsXfi7CH2XE ZMg3pfhsBGsVw+ZVxKDAWinxqWD/SGJShV/riNUoYjJ6WPzG4NcJ+LofeTVr dfh8CbIK9o9j38lijWhAVo+tIT/aD7OIdTG6jegNxWwy8WlhbSKyZmw1xv+5 MIn1Zs5oHRbLqcSnnXkBn9vHKzmzjnkX92nljjsTwzbucZhYQNw2EWPH9yAx T/Rwzgz2dxDrdnzlvHEtHCDmi87IvNiDs3yvmdzFNuZgpwt/FWNvLjZ7ONd2 XNN7R9bOdrEP5+8n9kVnHvNOZPszno+tTvZ1s7eHtb2I1Wzs+y6HIzsysneU 4JcFvMPzXu7sNx3COyrxhXPGPeRoZGdgqwR7iyJ7Sx96lcPmzudq7NRgqw+d M8VidP2WA3nPYuxY7rxaT+yOJS7ee0pk7jZgt59znCerkI9F7r50fGSPs+7Z zGuwdxxjr5+AvlmGjTrG7kUnRvY7r5/DvJZzljL2+gr067lTAzaWIx+PvI57 D/XXs3hnJe84ib2uIddek9gqVmNjDX6wfBt+aUC2FnkDevXM12GvhbF9eyp+ buK7AbkZQHc1d/K5bcin8d3I+Fxs2Y7rwTXjenF+LSSm1j0NfRf5w5H5e7X4 mhhcKj6NzK1rxbf49ErxJTG7VfyKrdvF7+J08bq4P7IWXhV3RdboK+JO7nSj +BEf3Sueiqyzm8XPvP8D8WFk/RQKadc2fxI38c5fxC2RPeYHcQMx+E3cJga5 y7/sfUQ8HVnPf4vXIvvEPeKfyPy/XnwfGXuv343O5ZH/H1yHF4vHI/uI/bKV uHjPNmK+lng4Fn+KByP7lO9yH/d5gLd5/Kh4LLL3/CEujOx3z3G/bvzi/xxT 8Pv5xNExcz3UEhvXWA33c78oQXcQ/b/EQ5H9cQtx60BWWkj5IGvW38y4g/e7 Tlwjzg/3EedVO3od2NvO2Pn1fGSOuR/1ol+ucy7S9wLxrHgmst+/Id6M7I8v i5cifzdeEC9G9qlvxDWR9f+EuCOyhz0ZmU/OpbJCnmH7X4grImv7ffFe5P++ t8Vbkf8HvxPXRdbZx+KjyP+An4nLIvviV+KqyP71ibgkshcP+ch1+Y54N7KP O+bFhYx7USFrwPlfUsjacF38BwFZyUo= "]], Polygon[CompressedData[" 1:eJwt1GdvjmEYxvGzVb6HD6BSVKldtVqEBkGQapCSKhXUaGmN2HtviVCbJmLv +cbee+89a4v/mfN48Uuf9H5y3dd1nMf11MwbklOYaGbZSMIWvEJfjMVWvEV/ lGAbPmAgSlGJ/WiOclzBJdRGFjbjOXpjDNbiDxojFRcwEQ3QDhW4h84oxiY8 QQ+Mxk78wAiUYSMeoitGYRruopPWuIpJaKgz3sZkpKMjduAbijAe2/EZgzEO R3EEmWiFFfiO4drDP/zVWerjqc7sZ+2JW7iBFHRAtQSzRNThcyPt7aae+R6r 8ywJdZXRMnzFUO1xEd4jXzOYgQfoogw8y8vK3jO9r4w8mxwswScU6IwL8Ab9 NON5eIlciw5MwQblNQGz8BjdNZM5eIZemrGf9Y6yTdHaCzFA73ikmfosu2EV TqK1RYdW4xfqWWTkWa/ESGX+06Jz5frfWVy06E4yTuG4ZuFrrsFvZe2ZvrDo uHe7D9bByLsJf9LwzqLjpdrzF4uOeDcKLbqwXt/1TuzCAbRABj5adMi7Mwiv Le6Q3508VFl0uAzDLO7KNYtu+p05jEOohZY4iN367O/w7tZIiFmkK/u5OovP wLuyXGt7Z/wuTLeYvd8Jn/1SnaVAs5xt0VWfqXdppmbjnbqOc2iL9hbdmK+z 5OI09qAp2lh0ZSqaaX8ncEbPPOPzmlmy1tyrDDO0hnd7sbLLVxbHLO6eZ7LP 4jeiWO/4D2C9odI= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGm4llUVhs+7bXAskoNMYWCaihAeFFCLcCYGmQ4IyIwgCCIqMgiCAxqR MopgRJIoIKYNWlkpDk2Wmc3ziCiGkKaEpF0N627d33X48Vzr3fOz9l7r2fv7 OkycOeTKUldXt72qqzsk7Kawfw+0DuwI/CWwMrAz8EJgdeBLgcMCRwUeDhwe eE/gX4HPB44N3BBoFmgfeCnwYmBN4G+BvYENgTMDJwVODrwWeDVwd+DlwK7A 2sCewCuB9YHdgb8G7go8FHgwcETgdTl/LrAv8EaVfsDn7cADgQOBNwNbAm8F /hm4P9Agxw6BmwIfCHQJdLXuuMDpgQ8Gjg+cEThR3vsD/wjcF+geOCHwoUA3 +1LuYR1jTnM+5jpLvzsGTnVdeHzEulMCQwLnBM4NfCzQOfBhyw1y7BnoZNs5 zkXbzfrRK3C237Sd5zi49NEfzuEC/YT7+bZTvtA6/Pu4/jCmt3WU+zoHPvXX h4/Kq6ffi+UyMDBUHqwzwD7416hvtA06iPsw+8LxYi28Rrl2v8BFrsNcw22H 4wgt3Edq8fsSbV/HnSLffvqBD6Mt49NY14DvZH2A12VaeE2Q9+DARC1nOF6/ aZukn4yf4jj4TpcTPi0MXBGYoR0ll6n2xadp+sOYy62jfKlrNjqecWMCV2rx 4xq5wvGqwDg5Xq2lbbZc8XWWfZl7jnX4PU8f4HW9PsD3VuecGZgvP/heZ1/K C6xjzFznY65b3Ktx8u3vvi/SH/wgf4hNYhRdWWsdmoE2kHs3VqlB5BX6RW6h R2gGWoVmoWdoEjmJrqAx5Cxagn6Qn2jdkYFDq9QVcp38RJPQMHIb3UJ70AS0 DQ0j39FO9BIdQSfQHuIMHUJ7OtlGPjbIlRztIt8Gy/jTTZ+P0++ucu1uG+uR lz1cg5gmhtE59K+z/hDbNd090zEd7XuW/vRwXrQdjUfrr/X8JzkX+dpTfujO 2fI91zL8zrN8u+c6Tu7n24Y/F1hmrgGeNf5caBtcyNne8iVf+8ivt/3g3a9q ymXmqOlQf9vgRF4Mrpryc4L8Gm2D01DLcBpmuaY7w1xvuOWavgyvmvRlRNWk LyPlNMoyPEZbhtcYy/Ada5nYH+9eDZLjeM+pj+vcVqWe0reX/QZ6BoMtw4M8 m+q5cX6z5DTNNniQrzXtmW4bY8jVefpGeUrVpCMzqibtm6wPNa2CN5oy0z2a Yj/8QHfQGGJotpwYP8cy8U/OtpfffHkwfq794IjWLPBsJjvfNOvmu+Y8x8Bp oWPguMhyo+PYm09VeV+yl8ur1A64LK3yTUA+rggskd8Qx9U0nn0nvnjbfDbQ ssp3y2cCxzj3UudhjmVVahFzf9K10Mzb3b/FcoLPLZ73QPsut/8dVWrL+wKr qtS4ZnJfcdA+Uo/G7LAf/b/qdzPbmAdd+Zrz0men30fbhk6isY8G7rT+Jb+b B9ZVqcPN7cf38bavsf/X7UefT1ep1fWBb1iudwz1aNtu61tU+SZcZx/2db31 J/iNbn3CfZyp/0v0kTPZ4Fk8Zplv3pwbA60cTx909HHrW2rv9vtEv9HOe6rU fMY+Ebi3yjfzdtta2Y8+6O7r1re2zP3S0XGbrN9nuU1gc5V3TRv78Y2u77et bWBrlXdKW9v45k55yjbqD/j9/sCTjmXObVXeQdQ/bZlv3u/cF+2qfCdv85vY Jc57uQZjOwv68y79pmfDuXzLuRjLPfJIlXcJ73XuYO5fYuPZKuOBb+KJWPl+ 4AdVxgxn/pzn/ohzcX8Ts9yvxOpKv4nlPwT+qC9/CvxZDtsst7PvDsfC5SvO +d0qc4OYeabKfKDPD6uMXXj+qMp4hc+P9Rl/+T3yxcB7q7wveTfwZviCbTW/ H7IP/j2qj6vks9J9edg5vuw8R2kpH+keveBY8uxFua22nnwl1n5VZVxhf+03 8fWbKmPgF4FfVhmrz+on8wyMH4T9Sq43IexhJfPmmLD8WLzZOX7rPK2i7uqS uoUmcs+g9W2i7tqSGrbM/WVvN7o265KLP6syv9CbnQf5sVMf1+gjurLVM+Z8 fxf4fZVxvtky38TgT6rMcfTjec+IdX7uWs95lvX2/an9n/dcW3ie3/G8OKPv GQ/EFPFNLPGu2++6vCF3O3a9Zb6J4Zc9q7usR7fQEt6OJ8lzt+3U75Un+8O9 ssE5eXfWtOoVOe+1T0t933NQ3z322SLXtq75mvu/0W/WRKt4+56sRbNaW/+q /e+xnjp0izdxTZ/eMB526W+9dfusv9fvTfaHD7rVLmLkupL6vUF/0Fo05k3P mlh70nmIBbSCWCVm0AvihFh4Sh+J9yfkz5k/7v4Q79v1hfN8xjNdK2/uH3Tr 21X+j0FcPOYeoitPy2ez536f/fmvAR1cG350KHn3bJF/J891l3uyLtpPLXmf M4Y3ejvtW37fb7mzcxxw3bddC24l5uhbMk4fsA0d3mp/1t/mnP/X+ug7t+Qd eUnYi0tq37Fh55eM9VVhV5fMsRVhV5bMqzvCrimpoQvCXl9y/7qF7V4yv/8b GFkyXxaGXVTybG4Ie2NJjfl3YEBJTYNLW/mgKy3UFrSkpXryn0BjSX2eHrZ5 yXfT5WGnlTwnNKa1OnMnf2aVfAfh3wh9vIm5S+b9srDLS2rY0LCDSt4ts8Oe VvK9Rd0Q668J27Xkm+yKsF08u3lhTy/5bpsZtqHkO28xXEpqyeCSPuMvmnqR unob40pq81LmLqmJ/cMOK6nzS1inpG71CVuVvE/OKLnX7POt5E1JDRtecr/Y q9rved7io6P+HSXvM7ivk//RJfeLvbqMPS6ZP+zBLPeBvXvQtfB1jv6yH1e5 J+PCvrvkvTg+7KEl78WxYd9V8u6czJmXzOFRYQ8peddODduspJ5OIXZK5hh7 OcP9bF8yr8ipMWHfWfLuvDTsESXzeWLYw0vmeX3JWCFOJrGXJbXgfw+VUCQ= "]], Polygon[CompressedData[" 1:eJwllFWLVmEURr932zl2o47deGN3BwbOCHa3qCOKYnfrOI6jiIiIiIiIitjd 3d36R7xwPTwXC9YX5z1n7/3skz09L2dRZDKZXCgOlfgwCM6kTOYBDMYDzuNn YTleB7bge6A2vgx2J39XEu8Bh/BrMBwfBuXxC1ARHwCn8HtQFu8Dx/BbUAHv Dyfxu1AO7wvH8duQhQ+E0/h9KI/3gxP4HRiLj4GK+CUYgY8M37sCtMZnhc/+ Dq3wmeFrv0IzfCrcwN9CG3x2+Fl/QlV8AezAN0JXfDU8wQuhI94AHuP50Baf E37W39AOnxvu7V9oik+B6/hryOBdoADfAM3xaXATfw8t8OnhXn1MntU8eJg8 s1x8NFxM7sFSvBZsTp5RTXwJ7Er+LgcfFe6NrmmPd4K9yTXWxVeEZ70VsvEO 4dq2Q3U8D3bim6AlPiM8q8/QBJ8czsLL5NkWwI/kGS/Eq4V7qTM0693wJXnm u8Jn6qxPyVnZGXZlZke4J+rFB1iHN4bn+DNlNDxjzVZnjsPHh7ORBSvxeuHa tiXXXiXce/WgN749fPZR6KX/wjv8iP4TzpSy9C05i/lhVyZ7qvfwBj+sHQln TNnSd5vCGdDsX+kZwjPXrHUP7dLG8G/aqQ3hnqqXL2BfOKPKpnq6P5w5Ze0X /IMhfD6nXYL5eGWon5wZZa1heJbKXCN8IlzBn0IJvDscxK9C6XAPVLt2pDje DYqSrykT7pl6pcxqFpPC12omxcI7o125DKXCPVJvtAMp/M7Ru0bPrF0vgj/J O693R2G4Nr1DtGsTwmdp5xbjNcJZVMZX4Z3Ds36UXMv6cO9U04HwTmoXdY81 4R6odu20alsbzpJqHKrehc/SO/E/Ze6gOw== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHnc12MWffvda4xkGVLWCNGkkKVpGTPGMmQZJIzsZUq02V5CkRYps1ta tFnSVNp7W9+0iUiljXalMpElRWFkzvmc8/u8/rjvud/lud/nee495z7vr2bL js06FEpKSnZVKikJ4Av4c3uWlLyCm73gPwXbDP8LWD/YMFhT3OsPfAl2FfwB wJdh18AfWNDYa+G/CHwVdh38QcDhsEvh7wF+C9sJGwkbD7sJ94cC/wP7LfzD YF/C/x2wKuwr+DcABwNfg10AvxpsF/yLgNVhu+H/EXgk7Bv4NwKHAEfAzod/ BOxr+BP83VGw2bCpsGmwSbDRsNdhk41jYGXGsbArEONy2Dj4ez334vjxjj3d OBE2HzYTVu7rUf5Gub/B2Lci3i2wKfC/c7w3YDM8hvOa428w9lwjn88zzrRN clzmgjlhbv4H+wE2C7bAsbnut4yM/baRsRcaGfsdI9exD/Ym7F3YIvuM956R 8T6ELYMthy32PcZuifncEYp3GvDY0JyWOxZjLPG7/P4K32MMFub7wFWwDwry +Y2Vfs5x33tdnNNqx2WM2hhbBbYd/jqP5xyfxL3S0Lu/AK4BboBtLMhfC+uB +51D4/YPPd9UEC8eC72bwAjNZe3P5tgX9/rAGsK6wdrCGsN24NknsP/CTsX1 AaGYhwAP9nPyizwj38gv8ox8exp+b1gD2E/OA/eCXCPnyL3OnhfnwvonV8gZ 8os8IB8OM5/IgarmBOvyCPOJ9VnNfCIHqptP5ECxvqe5Nmf4eqSfjXesib4e 7ZrkNXlJ3o8tVPCKtUo+lfn+eMcmB87B/TOsF0VOTrLN9Ld/dI2yPsmhcsfl +NmuCcab4+sif+YUKvgz1/Hm+/oH++WuxyWus8m+N7NQwZm3ChWcebtQwZmF /vYC1yRtkXNW5Mwij1/s6yIn+ZyaSe2khlL3qJ2DPIa1vcxjVhQquLbS15Vc j0tcH6zHVR7zoa85ZrWvwzzgWNYW6/PjgmqN9ctaLTUP+H73EH/2M29Ybxv8 DdYd7/UM8eeX5somv8N+Qv5UDs1jncdQG5Z43/qYK+Ts0SGdZT6rmB+cD7ny OfAz2K9C/YmcOdx9Y6SNdc56PCrUb4r1yZof7Xws8z5x3Tsck/XJmh9rY92O M+6xz/HkC2vzmJB2M+fHhfSIOZ/leir3e7sde1mhQkephT+65gqhfeQenhjS Pl4/EMor9+jKUB/iHE4OjVnj/DOXzGNd4EnWpjNDOsXn9UNaw3We5Bwy96eE NI55oh6e7JhdgAf6fq3QM+Zxu/PBXDwOPMj52uHccA/rAX9t/X3ItcB8M1eH hvSN6zvB+s5cUY+K+aEeFfeYelTcP+pRMT/UFOZnr3PM/H7numHNsBaod6yF na4P+vucJ+aIe1/DvYm6enwoN987r8wp976m95D7faLzEt7n1c4zc8k8Xu4c sac/4nonT04H1rHWV/H+FPesjmua+Tnd77B3s18yNntZPY8b529w7cxtXeea az3P+s6c1HZeWLNneBy/Wd/fvQt4LmxbQf3lN7AtBSG1gDpQ0zXEtd/vOdS2 TjRwDbB2ark2Glk3GKfM8+Q+sCfy2VbXDDn+Kfy/+P4W5//3ofyzbzbx3FiD p7oOW/s+47AvNnUtNXHMra6dP4RqhzVySYi7l4XeZ0/lvBt6f1hfF4bqi8/5 3jDX2sWhWmOvPsVz6AS8199qF+Ik9/Zh1/p6+FeH+jfPYezNPJPxPEbjfc6d +s7+XXzezO+3CPVv9mze4zP2eJ6R2cuHOMbVXkvzUJzieft6+38O9Q+eAxiv hX2+29wxh/gZzwmDPL7YdzievYfxrrPPPW7r3LUKne3IHeaYPbjMyHPtLM/3 Zq+F/Lg9xLn2wNtcG9QAco86cJvH8n7HUH2wNsodlzH5PfaMheZuK8+BOWnt vPCb/Db/p6B+8v2l8NuE6n6bY7T0fdZPG98f7PVzP8jjP3k+d3vt28ynds47 n7f3O+ROB8+Z2NE+a7yT50bO3fezOXB+1Hae36gX1IpH7X9UkL6wB7P/sr5K XWOlrjfq6oOOs9TvsBaLmsu4a61FnR2T73JMJX+H36vsed3tuXF8D8dgH+/i +id2DfGSPp9tNq+fCGkP8XHXCffsHvuNfZ+86+rxHLvR39jg97t5DuxRPG+s 9jp6eP7Envab+H3Gpn5T36nhXE8v72ep46z3d3r5u7zX3fepZzz3UBtuwf/B t6X4Nx24I1RrD8K/N8WlR4ClqVrrBGyX4syjwCmhvtQafssU3+4Btknx6UXm IlWfs4H7Qto8E/6XId29IzUPzuEc4MRQH3sS/vRQr3sB/sJQX+oJf2aod/WG PyvUQ/rCn+19OQ5+jRQHTwDWTO1xZeAbfn8Z46XyPwD4bqjPDIK/OHQOGAp/ aUj734KVpGrpNOD4UO+dC/+nUG87Ff7rof4/JzQnzued0Bo4/3KvgfNfAP/Z 1BlhRmjNXO98+P9M6cXfgP9IcbgqcCzsbPgfcy9TZ8MxwFNSNfl3zi3FEa6V e8T1LvI6ucaRwDXmwPteJ9fIuPyfhL30cNzbDP8s2MvwVwLvhC3xHnF/hjHH qfPBe6G95j6/CvwgpFNc35uhNY6GXyvFqbdhA1N99xXgqpAOct3zQmu/mbWW 6gHNiam+dS5wa+iss9Hr59onsH5SmlQb+EzoHDYJ/uSUNs0DfhQ6gxwIf0ho r4J7H+JTwj8m1Q8rAYe6Vv8F/3Pz73j4g82XdV4b1zUc+FpKZ/txTak+9Sxr KtVzn4N/baqvPQ//plRPfAz4SeicNwDWMdXLegE/DZ3VnoH/Wehsx/r9NlTD A2EPpHpQd+D20BmxP/Oc6mtDzT2u5SB+M6QtVTgX6wP1hf+fUMOJfe2vBY5K aVwj3+fZgnW3PrT/DT12u3sEz1vUm/3xzpZQrZbBbkj1k3Gce6rP9Pb77COs kdWh/TwWfvVUP1kRyhNz9Bzwi1BfPZT7FNLeQ7jfId37xuvkGocBd4fOcAfD 3xM663wdWj/XPoJcCZ3DyOnDUrzeG4rLmP2AX4XOx4Ph7wz9LzEN/tTU+ZE1 8tdUnZAz3AueMx9K5Yk5agK/cep3O+rrw9bYhsBGqTPi+cTUb4GXAZumfv+b FNJK6uQFwAtTZ7vHgdNC54ujqRUhTnOf/p3aK677pdTanwCOS503uDdDUvvD 9T2fWiPX1z+1Rup625S2Tw31AOr/xcCLUr9TXgK8NHWmvIp5Tv0meiawfurs XpbKGfNFbd4V0g1qap2UrtYD1k39VjohpLm8fzbwrNTvptWAR7k22K/uT/Ws K4BXps7E96W4RB49Db9P6nx2JHB5iON3pbhKnlI7qQvUhPYp/pA77HsdUr2P /HsqxcHzOJfUWZyadHpKl8jjBiku35jiPPlOPWthTWOt7Zeqt2tSGkF9GBHq K6y9TSHNol61Sv1+zTMt++2dqZ5LHWL/rmGOTjFPmdsDnN+uwG6pc2dD841c Gx7qzezLt6b0iFpErW2W0tsxod7GvkZd6ZLSluuBk0P/G1CfeqQ06v8KRz1P "]], Polygon[CompressedData[" 1:eJwtlnmwl1MYx3/9zqPIWG6iVbSQUrdu2dKq3ZLlIutUWmi7N4qRnbnlDqNF DcNYmu6tW9aMUEkRyU72NSJjjEFIqSg+X9/zx+c+3+e853fec86zvLf16Cnl lcVCoTAHAkbx5zIoT4XCIh6Uo8+BhejTGBuHvhzOQy8u+kf1oDV+PeiGno1t DH1gGv5UWMLci/EfhYXQFjrBI/AQtIRjYSxzx4TfrXcsQ2/BlkB3mIJ/JVyY vGYn9Cx0I+gF8+AMxoZgm8Lf2qf2jL1K89Al8Au/7Yj/BHoVTEMfA1/Dt3AQ lMEPMJznw7CToQbW4E/HbmKNWeh16L3oI7CV+BVQV/QeR6JHQG3Rd7pHd4A/ ETsVHoelyXsphWE8Ox12FH2G3YoD/jidHc5HP4c9U+eEx6AOOkBnWJvvVHf5 D2tMZP4kGJ68p0XYWvyx2C34m/MeSvOZf4RbeD4SWwEr4Eb8ZtidzB+Ivhvd BAbCF3ofYxOSz7QfumH43WuhPrpBOH7KoU+x7fB7JsfkavQ14dxYyvPPsIfh H48dDyej52APhX6y+E9hu8BxcB3+9XCp9sHvV4bvRHehmJ6rXA3nbg3PL9Fc ODs5JntzzMvyHU7g2fhwbuvOFsOL+Ddjv2PsQ+yB+EfrrPBWzmnlckBfns3V GaA/TMe/Nnw27XErvA5dk2umVjHj+Q3Yzcw5NZzDyt3BynFYx9it2J9UQ+iL wmfRGW7Ts/Bdj1A+K4/xD8b+ytjH2Db4JybH/F14GL8dtj7sG87xyflONypO jB2FbQAXhHOiIufcCuVfeC+Tcuy/TNYTcmzr4IrkGH+uuOK3x+4P86FxuJb/ Yo3l4RxXblfCg/jvYPdJ7hHP5pxXrqsG26KfUQ9A99CewmtqraH6HX6EY9M+ n/3p8Nq6g+ehCr85dhe/WRLOOeWa9rwpuSeoFxyg94d7iHqH3rkBf2fOhWrs KzAvXPv/MjZX+Qob0aNz7L7JaymG6h0f6N6Te4hi/xG2YXIOKNe+ynelnHsV 7mHsSGxBPnp7zpWZ2J/hZRgDreANuI85bbDF5N56B/6o5B57J/pw2FP02Etw l8aSe9gL2NvxW2B34/dB94Jt6FMYW4/+I7n3VWGbhHuaeplqVrXaOzxXNdtD uaffML8v/iqdK5yr6jHb8ppVOeb3ojfks+oM6oVnhWOrnliG7gK/oXsn9/JD oFtyT78f/WY+u3K8lWITvhudWXvpGe4l2lNHdOfwt2Nr0Wt3D3+79I4a9Pu5 FlTzO3IMZuYY7so5UZ1juAD9Xq4t1dBg9Z5wLW9nvQ7oJ5NrUz1Rd9sv3Cv+ v2P0oHBv/RP/k5zzynV9A5Yl90D1PtVQNXpNjpViODT8Tr1rEP4D6LeTe5N6 jnpTf8YGJPco9fIh4bnq6QPCe9C7NUff8pPCsdM3fQGsVs9OzvHlirtigP29 6G9x13BsGuXcnB2uBeVoqeox37V+MwN/da5F5Vwz/Ka5fpVPJ6je89r6Bt2E vzL5W6Qano+/PteeaqQFfsv8/dAa30Pz3G9K8t5fS/5fRWf4D+u/DTA= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm8l9MWxg+dvd9KOo2KJgehiKSkQSNJlKSEDAnXeIXM8zVzr+Ga55l7 zWMurnkumUpzolEzaRINnm/r+X2cP9ZZ+93D2uvde63nWe/vVI4YOeiMzcvK yu7Un2rS7VNZWW9JL8nRks/Ky8q+kvxf7c+lv5Z8pvYNkmMlG/S8QrJScl4u KzuuKCu7Q/3vScaq71vJO2qPkf5G8h+1r5McI/lA8oX6xkvGqH2j5DjJl5J/ SY6X/KixSZLJ2NLzzZITJRMkt0j+hg3JPyUjJF9LbpKcIJkoOVlykmQ4z7Ix UzLL9qZIZltPlfxQHnPY7w3N/x++qP2R9DjpCZI5njtNMtd6uuSUFLZ/kmyV w9YCSUO160tO1fii8ngf9l/o/Xhe7D58Weo9sL3Mep7kZ+v5kno5bP8q2Ut2 d5a0SnEPC2x7nWS556z2Hku8fobke9ub7udV5eHfYt/lQj+v8Tr8Wm977LPW /uHXbx7n+cUU+/7hdbP9Phttl32215ytJI0k1VKsx946tf+QnCbZQlIm2cx6 ld9j8xQ+sSan2Id3/d3tJF0zxX6sK1KM43st28PG6ZJySYV9qek966awge16 1tjY0uvwt47XMq++x6tLGljX8Lthjz0bW2OjocdrWm/w2bAOHzc90y85gz77 2ETS3P7hVwvr+r5/xptKKu0H+2zrcZ63cx/vuoP9w69XJNtIdpTs5HYTxxP2 mvnMVjsWWrsPX/aUtPTaNt6v0uN17GtT+8/zrvabebvYBs+7eR0+tq/iS9sU sYK/u3uc55Het53k777L2pIOXrez72pLn3tn742PXazZs7f3Yx05Dg6BR53s H2v28d740tXreO7l92f9WZI9JN0l+9oeedlH0lGyt+RuyTme0zfFHvh1gDV+ 7ed1rNnf65jXz+Psf6A1ft0jOVfSQ3Kv5DxJT8ldklGSbn5uZ1972E+e75Oc 7/e4X3KBz+MhycX2/WHJJfalmjDnYOlDJY9KLrPvj0gu9Ts9Jrnc/m6m+WWS K9WuLj1berQkqV0uuUrt+ZJ5koF+19Y+98Mkh0gGpeAReAP+OFLtIR5/UHKR z+wByYU++0WShZLBkqG2gc/DvI4+eAdeGmteg9/guWVqL5UcnoKz4Do4j/to Zf/gBHhgnPF1nbEO/oGv4BK4C/6ZWoVjwHd4D86EY+A6+AoegtPgMbAY7oLf ppmjZpkj4Dp4bIb5Z47tTjeOz3XfUuMuHAQXzTTPLDQ3TKsyd4b5YJ73WOR5 s8wDi6rw0NIqPLTMey/xvEleX+LPH7wvvAdXLffeK8wfi43lq2xjTZVnMHuj 91hbhVt+87yXUnDM77a13newwti53jyz0c/YLXEINQv1xSTbAiNKY2A1mPyH eQVsX2SfSny40vvAUfANHIBfcAK28AMuyLZby3bxA6wvYTy68HuWeOAfkitS 5Dd2wcsK9z3mnGINeF4v/cU39T0XzG3qPNrf+VvisLp+N7C/xD8Nvb7C65rY 10aex5rmtsseYHYLzwNfd7INMLnSa7b3c4mfmnuPSq/H9g6e92oK7mnp/VvZ bjPnGc/beB/4AD5c774SpzbyHrt4DXvu6mf8AKd3835t/cxYJ58Te4OL4OGZ KXhlD+/X3mP4BCZ3sE8d/dzaNjp6z862i/T1HZT4prPXgFVg1NkpOKObz2a3 9Bd/trE9fAXjS5zT1bbwDxzv7r372C6+guUlvO/peR28Z2+fZQe/W4l7+trm SK8rcQzxBn6D2eD+1SkwG1wGR8FT8BgshxsGVRkDo8H1Q70WPB7q5yFed4Tk 3ynqZnBqqW0y7/oU3wcTjSdgJjl7a4o6fqYxh1yebJwES6cYb8HhqcZJcHia cQ9cnW7MBG9nGAPBVerhQd6fd6DvZPf/175Sw8Njc1Nw1tOS21LUH3Vy6Arf 61m+I8apZ8npJ1LUK9QqW2p+Lcl0tZ9MEX/cw7Mpvp9Y/4zkdt9NA82dbB+6 +H64v6ccT90cCxc7Hrj/8xwDxMX57vtRcmeK+oCxc+0n8XGB5xIvF7qPOL7E tomVS93HHhd5LuvPsQ/gJthRx/5d5nXE1BX2m+/Ka1JwLvd8ne+a+7nZd0Ru gg87Oq6IPe6HWLjB8TDcsTLR93yT75q4uNGxwT3f4rtewTrfJf7eZZ9Xsq7K Xd7m+yI2b3W88R3HOmJ1pO+lpe/pDt8dZ3m3z4Ozv8dnPMpnzl7EJvXBVMcs dQMxy/3c6zviHu7zXXCfD/q8uYeHfBcvpPiWPsZn/EiV+3nYd0Qt9qjvYZXk cUl/+/ukfcavp+zb1BSxTozVcO1G/hKzT/tscg4O/qU87D1nm8TCA1Vi537H D7H5rM+JGCemOT/w5Hnfa+E84L5r5+D3TTzsmOf55RT7wvv9/G6812spuKSl Y2d8ijvHb7CLPJ0leV1yUIp6jpqP2GNf1m7t8dGewzc/dR41HrXr635HfhN4 S/Kd+j9JMYf22ylsUi9Sp77jfT5MUWuOd9+7nkPdSV07xr6wnhqUceZR776f Ys63nvu++7H3ofvxj+8Wvlm+8Bi237Svpfd4w35+nGL+BK/72L6RT5+nv/Jm bIrY5Nw5f+o3YvarFHlGzI5LEcvk3Dcpcpc8+y4FdpIr5Bo5NMV2iJnJfibG bvf9tXTfVPdzD7N9d8QEsQHvgxOfpsAA3usTv8sMz+EeyV1yGcwFYxnjO3qO bfZ3vMz0fMa/95wfUuAj+braa5h/geyMKCJX8Gme4+s19R+eI/9elR6aI/9e lh6SI3dfkT4sR+4+Ld0/h33q80au0Z/l2yoHfrDPhTn2ekl6cI7cek56YA5c 4Wwb+jclbGzl34NelD40R/69Ln1kDsx9AX7OgSvPSx+SA2+ekR6QAwtn+Lw4 R+r2xq7d69lP7PN99IvkKOvlbsPdy9wmP351vIEZK30n4MoK+04+rfLZNvJe nMPPtnO4Bbvw8T4afyeHbX5fPD8Hhq1NsYa5w9V/bo6YqpkDvwZ4r+quY6q5 n7sbZvtHOc7BHbAFTuYciIdWsjk8RxzspPZRObCkndqn5Ni7ZRFnzTlfm4Lb yOWL1Ld3ERwzTO0di6jxm0lfngMfd1f7JLUXq/0E+xaBcY2kGxQRj/up/+wc 8byr+k7grNSuoXbNInKsQrpOEXFfS3qXHLmW1U5F/A76u98RXC3VK9Qh1NV1 c9TWjFf4HKjrtnBtx/ccMQYP1nD/AK+t5bOa7jZ5ypya5o/Gjh/iiO+mTfYd Yw0cw/hS1/6ANczd9G3nMWqqBv4ddbm/Kxs6ZiZ7jP7GnkN/Q713uxxnyG8C Sxwnv6U4b34fOFbjD+bgsG00/5IcnN1E7Utz8DFnuZfPs7r6z8pRE0yHm3Jg 0GzpM3PUIpOkx+fA1q01/+IcNcHu0h1zYM4Z0u2LyJPj1T66dFZFxA0x00z6 0xyY3wKdA6u3lZ6YA/eaS3+RgwuaEPs5Yu846dZF1Kknq922iPcfKt02Bw9X Sk/LkadD1N8mB88XavfKgdu1i4g/Yu8N6c454nuWdI8c9deJ0m00bwHnK71H Ds4fJ/15Dt46VXrPIjDjDvbJkSsHEBdF4O+3an+Zg9s+lH43By/2406LwOvP 1P4oB0/Odl6DIU2lP8jBrW9yxjnqywW+78G+/7WOAe57tfGHeKztmBxkjOA7 ZQtjBc/UKOTDIPeXO/7BpoW2udhxxl7kJ79tlbhivvsXeg7zm+qdLstR5823 r4OrzMOHNbaFnWM1/3SfG/sn+wCXUce84nzkt+PazukNVdp1nOO13E+ejlb7 iBy11FzvN9BjzOVbn/zKjv8K5/AmfDCmJOd+4dh+yfM31XApftNnPt+S/CZI fUWs8wwOn+Z52BvtfuaAfw2NgS3Azhx1MHHxvmODvLnOubO/9Chj0SPSD+Wo L6tpbXkRdclm0mVF/O+oZxG8CCc+miMfyIXHpUfmqK9/BD9y/L/rMeluOert LjnygVx4W7prjpqL+3nLd/SU9JM56tb9iuByeLx3ETwNR4Mlc4wnxEKPIuKh exE8DUd3LKJuGOWYmOcY2aC+jTnqXfikVxGccpXa/Yr4BuDM+hRxbgcUUYts +j23iBqF+uTAImoX6pYrpfsW8Y3RqYj6gNrgXul7cnD4XdJ35vj2uFX6lhzf te/lwCDwB7zs7ZhZI706x//lwL++jpO15FyO2nGp9JIc/8dbR4zl+F/fr9LL c/w/8Gfs5ag750nPz1GzLpJenKNmXSD9U47/JXbPcWfcVyfpEc6XldKrctSy g4rgdTh9B+lrc/zW1jMHxoFve0rv7Zg8UnPa5/juoe+QIvq3l74mx7dWZRF3 wPkTgw87Drct4nw52+ZqX5Hje2k7ta/O8f3WIYev+AlvdC6CO5i7bxHz4aVu RXATWPhJDjzE94FF+A/ujs2BvWNycAk8Ar5+nQNjuxRRd1JzHpiDG+CFr3Lw CpwCj32Xg8sm5OAhOAjem5qD+6bk4CT4CA68OwcPfi89M0e93icHx8AvB+Xg CTji4xzYDW4Po76SbK7ng4vAJnCJszmoiPPZp4g6mBoYru5aBF9z9gOKOP9z ctSC1IHwDLhJPvYvol6nVmefY3LsdX2Oe+VO/wREDfVX "]], Polygon[CompressedData[" 1:eJwtlnm0VlMYxr97fefdxkxrGTKGojQPhlJpEE23XIkMDbeRlpvVKPMszTQX CknGxWIZMsUqQ0pFWkkqRVHRTQMS+T3r+f74rfO8Z5+9z9l7v++zT5WyQaXl xblcbhbkdY1cbihMynK5F+F39B+wDN0bBqGnwvPoV+EJ9HCYjH4JxqBvTLlc xvUB4mpc98BX6LHQmLaLYSh6GpyAvo32KeiNsBb9PSxGr+KD9qP/gr7EK+Bb 9GpYhP6G9rPQP8CnxI9Aa8ZrBSP1bdAGfRncjn4S2qHbwp3o2XqevjNgPvo7 eA49F15Dvw4H0f9CP/TXcAV9L4c70E9BB3R7uAs9B0rQHeFu9NNwFXoU/Z9F 74Vz0X+H5zJO70SvCc9Fcz4P/V/4XeMho38N4gGaO3Qm7gT3oJ+BS2h7D95B v6s101jqn/caVePZqnAv+j6YQFsbuAU9V/NBH0v7OvTJMF97C2+g34TB6C60 H0APhB3EVWEM+ksopi2Sv60/bKDtbHgU/RmsQ28M6x6Q49nqxBO0f9ozdDfu FXG9n/if8Bpo7ithVziHlDvKQe1FUXJf7UkzdFMYjp4BQ2jvSnwQXQ7LlXuw kvX4hLglbS2Uc+hZsC+8J9qL5fA4ugMMRs+D3eg/w219YEo455RrqoEVGjs8 ttb8Isa+EIYQT82cuwfCc1EOrw+vidZCOfsYuj3cqtyDS9GbYBS6J2xFnwOj 0V+oj9YSPtS7eV9t9MTwXlZSPvDuJjAMPR1+ou2XcN9e2jP0UliYeU2WqC08 lu7VRM8L5/5+7v2K/i2812X6PsZuDiPQMzPnSjtYnzlnytDdaT+cawnx2+Ea UO6/BfXQN3OvQt4CDYgHEu/KfO8DdLk8B70AatA+VnuguaiGtRawD/2y6oX2 XuG2TVCbeADxDvS2zLmrOWkuyuEu6NOTvUGe0JX4zORalicod7SmWkvl0LXa 7+TaVk13U34n17Zq8DrtT3ItqsauRJfCj/IG1T/tpyXnmjzpauIzkr1IHnIN cZVkL5KHaO16F2pBa3g+cV/tIfEWjY8+JTnXtQcN9S1hr9SaHUNcKblW12au 7bbyyMw1Xj/sufLaDdCR+MRkrZy9AH10ct89cDy6TtgbtMcl6JOSc1seXkp8 anIuqKZaEh9KPBF9k+aATsl6NXSmvXJybqpmO2ns5LNAOVsXPV4emXkPaxGP 0xmQeQ2moxtxb3dmz5aXHEK8KrOnqO2w5HfpmSOSPV7evkbrK28q+HFx+Kxq VMjVrOBFDcJ7V1SovW2wJHMNVoTPRJ2FS2ExepH8Ie+a/FheAO9nvqfcrcmY WzPn8PZwTamWNOaIsAeo9nWGau71eX5n5jUYGfYkeZHOyC3hmlYtfw43hGtM taWc2xv2LHmVztzK+pbw2bAsb+/eGf52eXifQo4pt/SN/cM1pNrZntnLfw6/ S57eM1xzqrXN2uNwTauW9c0Nia9PXlut8SSuk+FhfQ/vP07nZ9iblZPaix7h WtbzC9BNtC+Z+zTTOOF/je7QDz0HXkE/CLPD/xz619C9aejm4WfloTPDOa1c fgHyyWeWzirljHKrTvJclWP1wv80+pfRGVA3/E+kfyF5tLynevLc5UG1wu/Q 2DpTh4XPUJ2d+oc6imePhIq8/ykaay/gocxz3IxuEfZ61YzO8qZh79OZvhD9 UXjtlFOtwjmtXNaY/wOOLmBF "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0adOHQAUgOHLuBAEogKBQCAQOEQfA8Uj8ADlCVDsVcoeZRr2RoEkNAHC 3nu0ZdOy9wgfCeJL/hxxxDnxqWkp30ICgUA6SXx0kCii+UIMscQRTwKJfCWb JxoYI9SCMAb0M42ME24WZFC/0MQEr7zRzAi/GKWeYfp5pI57fvJAH3fUckMN t/RyTTWXVHFFDxdU8p8KzunmH+WcUsYZXZxQyhElHNPJIT/Yp5gDOvjLd35T xB/a2aOQHQrYpY1t8tkkjy1aGSKXFnKIdLcIsvQ6G6ywxiqZLLLEHAvMk8EM s0wyzRTLJH/++x3gC1Lu "]], Line[{199, 195, 181, 256, 163, 255, 164, 203, 257, 165, 191, 192, 193, 189, 190, 182, 188, 162, 187, 180, 184, 183, 198, 199}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{265, 264, 268, 597, 588, 589, 587, 591, 590, 509, 593, 594, 592, 596, 595, 510, 599, 600, 598, 602, 601, 511, 568, 634, 542, 586, 514, 584, 513, 585, 508, 267, 266, 265}], Line[CompressedData[" 1:eJwl0llXzAEAxuH/tGgRogVZMlkKNWXLKaQo7rpwi6mGstXsq2lDsrVYotNX 7crT6eI5571+zy8cSzyJh4Ig2GHXOMvRiiB4yxse08hrImzxh0cc4RU9/OYX Yxxmhm5+sskoh5jmKhus85AGXnKFNX7wgIO84DLf+cYI9cTo4itfGKaOKTpZ 5TP3qWWSS6zwiSFqmOAiH/nAPQ4Q5QLLLHGXap5znkUWuEMVz+hgnjKDVPKU dvq5RZh/nGOAgL8c4zZ9bNPLLE28o5k5rpGghTitJLlOmuOkOEGGG+Q4SZY2 8tykyCkKnKbEmb3vNJAgSYo0GbLkyFOgSIn3lJlngUX2oooyzhCR0H5f/wHs 3DTq "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl8z3UcwPHvZpVUiEqnHDnSJVHp0kWuohGFCCW3kpJKjg46KObYvTHL 2BiWazYbc5NKKpQuRSWlEJXr+Xn0x+v3/Hzev8fv8fj9Pvt8V7PXkPjBMVEU tfWSFBtFiapcLoreVf24KJrHepzPq7mH+bxACdYPsZ3a6EG11WTzVmytFmqp BzTJ/H421z26T/fqffNmvFt36C7dqffMb+PtukVNdasmmjfiTbpBN6qhJphf y+vUQAvtr+EiXs+f2IQFbMwPeTP38RUu5ctcxpH8ha+xkGO5gq/zV77JIr7B Yo7j/nBuLOU7XMUJPMDJLOMkrmECf+dUruUUruM0HmQiN3I6NzGJfzKdW5nG j5nBw5zBT5jJTzmTR1mRn/FiXqKLtMN+Nj/QVfrSPpv/cXE4F9XWF/az+C8L wjmqlj63z+Is7nFf9mm/DqiR2Q+q6v3zVUWn7Fczh3n6TmX23/MbnVRp+D7M 1TLr5eHuabd93XD/9K31Ks5mZS4JfzPl6iuzOdzFuTzBarxclylOZ+i4eQ53 sg7z9LV1CbNZice4jv+wHLdzJbN4Ho9wLf9mLLexmDN5Lv/iGh5iTdbQR9ap nBG+nzYr2X4LU7iBf6jIOpMxjLTeegUzeE640+G5CM9MeA602vw3FVqn80pW 1xV6W28pLZxN+A0ab1/CCjxbCzRaY/RqOHfvjeLP7BzOmI9wMTtxL8uHz/FC 5vNS/sizeKamWD/MeLVXR3XQVPPH2EWPqpu6app5d/bQ4+qpJzTdvDefVC/1 0VNKNO/LfnpaA9RfSeaDOFgD9YyGKNl8KJ/Ts3pew5RiPpwv6gW9pBFKDefl LmcqQ+lKU6pSlBz7///K05RZt7I= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1224, 1223, 1413, 1561, 1721, 1594, 1720, 1595, 1722, 1644, 1887, 1645, 1684, 1683, 1563, 1727, 1728, 1726, 1730, 1729, 1564, 1732, 1733, 1731, 1735, 1734, 1565, 1737, 1738, 1736, 1740, 1739, 1566, 1742, 1743, 1741, 1745, 1744, 1567, 1747, 1748, 1746, 1750, 1749, 1568, 1752, 1753, 1751, 1755, 1754, 1569, 1697, 1844, 1646, 1725, 1597, 1723, 1596, 1724, 1562, 1229, 1228, 1227, 1226, 1225, 1224}], Line[CompressedData[" 1:eJwl00VTllEAhuGDlIUd2KKIreiMmCAKBiKiSBgbZeVK7C6srTFju7K79deI LdjYin2dcXHN/Zx38833RkZ1TdnyhBBCA/VJIdSxLDmEISkhJKeGkEIzkkhk sOtBE/ht/+UPg/jJL77zgyYG8pVvfOILn8niAx95x3saGcAb3vKS17wikwZe 8Ix6ntOfhzziPg+oox+HOEwNp8njFJM5wgqekM9jpvCUlTT3/6ZqqrakBWM4 6toxCmnlXKA5DKW1cxpn7LOcYxjlrq3SabSx29GWHI67NpwKe7ruYz8jqHRt tc6gg12k7XWmjmUkHZ1n6XkusJYlrq3RE2RT5VysB1jPUud1epJRLHCerQfZ SLXzBu2io7WzdqIrJc4X4+/b49hkp+scvcR4ewKb7W5aqpeZaE9ii91d5+oV cu08tto9dJ5ejc/Izmeb3VPL9Fp8RvG5sN3upfP1OgV2ITvs3lquN+I9j/eV WruPVujNeE/jfWSn3Vcr9RZF8X6yy87QKr1NcbxH7I7vli7QO5TE/86e+C7q Qr1LafyP7I3vri7Se/H9trNYbNf6zorJJZtM0kkjkSbfYmPS/+/yH7bzaek= "]], Line[{1412, 1361, 1365, 1369, 1370, 1371, 1372, 1521, 1643, 1843, 1642, 1841, 1641, 1842, 1678, 1840, 1640, 1838, 1639, 1839, 1677, 1837, 1637, 1835, 1636, 1836, 1676, 1834, 1633, 1832, 1632, 1833, 1674, 1693, 1631, 1673, 1630, 1884, 1883, 1588, 1882, 1672, 1875, 1719, 1628, 1831, 1874, 1873, 1592, 1587, 1881, 1671, 1629, 1635, 1886, 1634, 1593, 1589, 1885, 1675, 1695, 1694, 1696, 1638, 1412}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk0lVsbB3BSGYoKyZCEBkPoJhGd/qEUJfOt3ChUSHIrQsOJSqLJlJBG VyppIK7mSTmDeR475xjP8DrvyVSofO9391p77fVbe61n7/XsYT26/mHue6dI SUm9ovr/x/Q5P7ax2sSQX8BcsvPKKAoMZCva+GK0BY60hdqN4sb5gRL3mSTk rJJaXGNHEH/pjdliExKNwkGTL1XDiMqRmgzYTCL6YWOxvuEwKkaOrF0YSCJ0 M3PZ5OUhDKv1798fQ6KqvfGu3uQgWiy1NmlcJTFegTM1cYPwKNii1J9HwrB+ XMVJZRD+t1bnfS2l5qOY3eP3voHoffyvAoNE4pmOK7vWfYOW94XciEYSeWm1 ATIcCd7NFmUb8khs+D17K/20BB0mnNV0PgnVxkGvZfYS/JqhmDIhJqF2OGZE ZroEAvcg49xhEmSu2bJaah9tzWdi6GMkplsm+J3SJ9ExBOkLv0gog7WS91yM 9FA9D/3fJKKylTJ4d8VIuUUuKKEcoGCRMp4kxj7l9CD7SRKvd0ZJjE+J4eX+ 25xN+UcCJyYiVAzPyUXHWygv+qTg/yxEjOJPDs97KfNKs2IGgsXg3drDGaRc V3O6wzBIjNGiw4fGKG92Z2tsChRD6r8mwb7/mhgZyRvWy1BOtDF9cnavGCFn WeemU7bI2yibs0eMs2s95BQp2/RrNHH8xXjKaz2tQrn96aKu+X5i2It9RzUo hx/9y9h7lxhWZbk/tlOOn3NUt8JZDM1bR9ddpawdOb3ca40YbNNP1VWUhTw9 YtRIjPwd9PvTpKm8qtv4PdEQo9I8xHnJFAkqu53OpT4aQIhOfX0L5RtBf9Bl 7Qdg+uPNah0ZCQ5W1adwOggEqQxGTlDzud5KUkPRBCajZ5wOo0z32vVBS5PA 5gkzdhu1Hrs5UIl3WQQ/dsD1Lz9JFIqXe4rlRSizlFPSGSVRfNz0eGeiEHcn rF6zB0gsMXbscJsjxFfFLY6t3SR6M26pfc8W4EPpJjPPFhInjSRLY0wE2M34 4f3lM4mk5CJNhSw+Nmhtytz7lMQ07tE7LUp8zO14puCeQUJDbn+Ux4V+KBqu sMs/SWJPgu7dQaV+uDe82JC0m8SmVddpazL7kCs9+7KOLQmj7KaCj4Z9cMie mBapQ2LVHjM5/fe9EBffYD0XilHa4fRSYXkvUu8PXW14JsYFn9WvHzzswS+V jm3LIqj3F8vOMTDrwcbKT66zLMSQPdswxnzdjVzfcKmqbwNYdvmBcZ97Nzxf JswtyR/A0i6RDV/She8JDr7KAQOQWOQrbE7vwuof++PXTB1AWIn3HKZJF1iB OmpedwmsGCCkDlfz0Bav8LuTRsBq/QGVhGM8LFQVJro1i+C+bEP8PlMepCo2 +umFiaBI3D4QLuRC19rowqtpInzoD5Nb9piLrlTTpJjrQvx1402+SjQXMuz7 zG1U3jcci/J3X8uFr0W1u1a8AGGLOUdmKnGhH5XwOfQXHzPq2Xzpag5s7hUb ccL5CHuTs2pqGgfzm2OHBwb6UZ1xZ0dPMAci+oi8XHA/jqS/q4h14aAq3bDz Ql8fHuxKy6mz58DlvIapCa0Psz7vjgpx5ICIiXm8OrMXgW9LtGh7OSgovrR+ 8UQPRg1Tprpf5UCtPcvKPqAHByXth+qaOYj2j9zBqu1G73BbKX0uF5G2cu0t Dt3YL+1XnuzABXtXGj/yYxf4HKPjbnQuXDdpbn6m3oWJbffXJ9RzIV9WfKaM yluC0ayR4j94YG81c3Lic2GttypwJJ2H4ScOwre7ucjric2Mku7C1Qp9TbVy DpzPPuyKD+uCMGjRTDXuVxTvMF55ntMFCe3mNcMZX0FPz8yScu2Gprj0G0+n E12s3HflTd04ZnN2znunDtBVqkfcvHtA07zleC6hHastAhZLtfZAOOVjsHpb G2IypYirbr14+Ue5KNa6Df/k9PpZfOrFIxs3g7H7rWBlZ77706QPLNuYdVz9 Vux2qNR5c6UP3vHj/mUPWsCL25cXLOyDxvKyvWL9Fsj/HN3p6tyPFWVFt3Qf NsPQK+3cWG4/si05Rc+tm2HrXvDYZKQfdM/YblpDE+JU1hhX2fBxoT2lOTGi CU+8br/8dIwPWuvB3gztJpgELp03WMjHVt2Mn5fYjTioeqjarJeP0o0Sn0J6 I25aahyzVRYgTyf15JL1jWhfqNFqby6A5tBFOM9sRJxLNP2pmwBeNTMnBU0N UGRr0WpDBWDN17xVntOAgJqOmn7q3p00nnfq38MNWB7/IdT0tgDmwuWpSfYN UHsa7t9SIoCgYN4NU7UG2Fvhg3IFFX+X1fiZjnqsyXvssKFPgIdbt4ecyK2H TMbHpXG/BdBO/ZrO+bsePYqjLqpzhdDv/Hz3xNp6JM/byjQ0EmLGOg2RgVI9 bui8ShqiCWGeGTD6llOHnR4f9DNchXiXsO/K3cI6cBN404L8hfh8bo6vdXwd wp/QtzseEWL5vYuaIT510Nab1e5xhnpH5VqW8y3qUFh49OX1FCEu+lcdt1Sq w/cmycoVd4TIOq/1/D6/FnqT+3SWPBFC5p9zzhtLaxEcX8D79l4IF2UTmkxi LZI/Xqli1Qph5eEbWupTi6iwrYblPCGOV2/xcjCvxfndjaIxiRAsqUfRVxRq kT2Lf+TIpBD5aeHTo7trEO15WspOUYSzc+2ihW9qUBCprX5YUwRLrVTvyswa uJxqaFRaKsK5judTFCNrIH0jX1/PXIR1jtapxa410L1wqCRgnQirF+0WjhrX YL7b4VeyziKwM9e9LJWrwc/xCSWNHSLoXNvmy6ysxsjN3BN39ojQ6JV4tOJi NcytYrseUP/Q+2Z1O1XHajw+8cZa+7gIp19dtzCQq8awqVfEzHMiqk5ZvJDD rMLAiKpaTJIIIQ/yp6pcroJ2X+DXU1kiBM6TYdz2rMJI2s0e5X9ESJYt0q6S rcKUGOOjDU9F+JYpqyH/rhKXTiot6Hwtgp3ryjLZY5XgkUVbbRgi1L70M4i3 qkSTk//3iToRBH4fopyo4sW9sqbIqFOE/dkOlYXFFbjiLP1jB18EeT3jOQPh FeiqqLvDHRThxsG5I88sKzC95LuY/VMEhYpl39//YuPP3Z2vlk4n4DzHNpnz hY1rS7ye/1Yi4JP8QHpXIhsOH+/HlagTOK/bYnXUjY2iIbXpDboEjtkOyXG1 2HirRosPMCLwmZk85CNgYVrhqXl/ryDQ4RO4898XLNy233NPxprAi/ybYbQ4 FrQi6I//tKPiHZAaXuDJQs7v8VfznQgs3/zuvvoSFrIuC/b7uRFQ7k6VDIwz 4TNMVzPbTuCReeWUoDom3BXHfl32JWDWNfVexEsmYtsnR9z8CVz+3ZqwP4eJ uF0uj8i9BLqDDB3WXGLCr76zKTiYwKVnqvK8SCa8HYPVPh4gcHB2StyXICYe WTsb6IQR2PYmYq2qNxMuuXsTQg4RMKiT7/mymYmZIrXPeUcI+No1bGynMZEY G+jfEEHgB7HPwmAJE15/K9jGU/VDetWC+ouzmOhOIlMUTxKgPaxcMT7GQIJU MDs4hkC8XZSPfy8DV/zCVt48Q+BnTEmCdzkDxSWzXRzPE8gP21Dom8/AlvC2 jDsXCaRlNcU5JDPQ32eRUpBEoEF5vd1AFAMdnQqrjqRR9QrXNY52mAHtF602 J65S+f28VutJCAMHWGOTp9IJsMpdN9nuZcC3UP0B/Rq1vnfjtiFfBqpUHT2i MqjzERpllW1noD7dUz00k4qXrrtpmhcDHkU+B6SzCDCnMgSGHgzQjvsLnSib vaOOxY2BBR7Fo6mU/wc89vcM "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Ak41NsbB3BFkSy3rqRUKC2K0kIhvkIkuhWVJUUIV9lapZKQSFTCVZZS SEUpkehGhBkMY8a+lGWMMb+fsRtl5D//e57nPOf5POd9zznPec9zVJx9rE7P FRERoQr7/8e//QTheif4+Edn5TqHe5P4JG8du/cMH3J3xEdVZCdRd37oMj+I D/O+0CpDswnIr1KWY8XyIa2Ue3X/3XFstFKXWvyCjxttEUmDHWPIcsiJpObx sYCtzm41H4O8c32+WhkfKZe/77H5Mgqp+2Oz2nV86HpYulTqjCKgvLNuopWP xx83vU8uGoHyypFwz14+dngr9jkYj2COHCfiEcFHhvZ2Xix9GMfnCaafDPMR WaryMip4GEYabtfFJ/iIT1QwGNIehvs130f1U3y0BZbp72wfwmp9l47ZaT7s GmazBi2HkOtSxnz4m49CEYMsWikPrs+XdpNCTyhlSaVl82Dhf1LXaJYP21e9 wzEJPORXKHY/FNr3hpr64xAe/lzLaOoW+tYHz5hP3jwENWV5Dwg9nbnDJ+0s DyN3FWaGhW65eCrinicPfa+XBE8J/W2qryvAg4eh1F1GAqHTywSJvu48iPzX puD2X+OhMTvgk6jQ5xkftzqc5uFh6CNfcaG97tlLWbnyQA9TapMR+qY5uvSd hed31daVFzqQ7zCi5sTDTND3+yuF1g3OhPxJ4f4cPukq9OGSrZ4nzYWWuZaY KfTmwnUWX3bw8HHlUDJHaO8q5QItZR5mtZonVOdM4e3rmbBvC3l4ofNA02nu FFTiesXVggcx+pxMHRH6y25FWpKAREnWo13tQp8wqZ8ZDiBRVHeHvUpoG/cK 5k8BgZFDyqlfhOvHe8e4RwcTiJW+Sr08I6yHIbNypo6L/D9HZSqE9Zo/lVDz QZULu007XHNG+Thpzy43CRpAOucdXV9Y/9/56vx9PRy0vtjpd7GHj6BvM6dO 7+dAp4t2+WQLHydu6jXsLejHcnbJUV0KHzRxpU+ak2zQInWz3wnf44sASx5P n42j1/6IaXkqjL/el94S3Qf7Kc/jZRF8eNz4uc+Gw8KKdXOSw3z5eJ/vo9Fr zoKBa5jSzqN8dBSZps7J7UVq0daWgZ18xMzZbWi8phcblRe5HJTkQ0BYWH10 7AFb0XF8umUSPpoZ5iovuxGd7me7JW0SowdqJ6N/dyF6KMJE7ewkqu+Yhm1w 7ALnr0+L1bZOwuvAwhbb2B8Ijw8J9BqbQNpOWbWW699hFxzlsiN3Agpan0/H XOlEq4YbsdFpAivj1xIXD3SgduLuX/KSE5D08774Q6cdahKna13fjSOSHZO6 QL8NihMSVkHHxnG2Z/KI/dFWsPufTNB+jqHyveG2EzdbEGXkl5OdOIajvV9V ioubIfsrclHA7jHcmE18tV+2GceeH+0VKx2Fb+X0Ife9TQj5qekhMB1FXb7X +IOHjSiX3eU2Xj0CO5vLTsP8Bog6eZT4HR7B/Ph3Y22+Dahuf9vNbR4GO2fG v1nARCxnyJriOIw3izdmxj5m4g/D6KEqxhAkHq1WZe9jomeM9fVGHA+76Nd7 FUYZ+HM40HbnqUFc2DyhvDSfgYov2aK/tEmEMo18ODEMnJdmed5fSuB4He1g TxgDfgvMsyNFuQg9G2yVdJ+BefadAstpDhJb2rf3vWHAjeUTLzXbj7eXFJgF XQw0xvo/WF/IRgNrW16RERP0Z93tzyP7kKrRnfGknIld/u8m5c6zULp46fRb 9waEHfbJZ/j0Yl2O/fW/1jdiRroiV+JmD9Q2hhQ1zG2CueTqutL0buRVnva4 MtWE9RKFe/kdXWDW1cfrzm/BjJlpdfTaLvS8yyihqbXCy2W+fJPgO8Q+2cXE O7VBbNDsW3NNJ6jRb0zSX7Rj9km9w8WUDhyoM9D6sqoTP+KGz2rca0f55F3V X0+/I//l31pbktoQ6L/GvlCuC/7+p09VlbaC29q0Mrm1C5Op0hnPlVoxqdYp rnKtGwaZZwtkIlsQOmr7Q3FFD0LiLXSLRVtQYuVXbFfQI/x35okEhjfjhoGW M/VgL779M7tHTaEZGWpiPje7e/GBtST4w7smJPdo5JSdZUF/vuamDUeasPzA gOHvYRZML5YVO/9oxLT14027kvpwSPLrpH5EIwp3/yO9fRUbvskRQwp6jXjw UrB9fjwbe+ZWH54z3oDpJVrWbaL9mJpOyFDKbUC++tS1uR79yDu/Y3He5QYk eFotHy3th+NdS/llexogkyyTvH0JB9kb/Jw/yjSgMcBgl5MjBxFOcjuXtzJh eS6fbH7NwfMC1r2KF0xkeiissBniINml2Xh9ABPjesHmzI0DUHaSID8fZOIv haMbtR0H4HlvAXv5BiauFNjdsosSztcavWHNZWKfemOHWP4AytOLo6p/MGCj VHyJbB0AmXn2/aEiBrr6jNNeCQZgOG2WRklgYGjiwuAaRS7yZFMujF9mQOPg L8q0Fhf+AwzfJ7YMqD94Rf1ygAtxm0HPZF0G3i76sajPmYuFV7+YU1cy8Oxt aHnDRS46xBY2is5l4EyKqBMrjIsgaW9o9tQjfc6uV+secZHDbF4WU1YP7dtJ jlEvuZDWS6FLZtSj8hHf8UwBF27qKQtuRtTD5XMaTbSCi2X/aif+8KqHDf39 5F0GF34akx/lrOvhJx5Vsu07Fy/G9EwX6dTDWFCRrjDAhQvLzJ6iVI/PXmY2 x8e4IHbmVG8Wr8e2R7Wyi2e4eCOWU7icoMNW6uvaHnECqvf/Tu6so+MzRcpm zWIClUvzAs7k0TFyR57DUSSg8++9sk+JdFiZ/VhltJZA9upI6eJgOqz1lDT0 NhMYVfDpPOdJB/Hwdk+nNoHLJYcsLhygo1wyaNviPQQehw/Lnd5Kh/drR2b7 fgLqZp1uOvJ07JRSPmxyRLj/ZFF7Db8OEi8/nrM+QYDNyj357VsdmBVeb2Td CHw/btVs+rAO/e3MK4HeBDSlbyw0dqmD25zf4WmXCLhSPndl7qhDKW/ur1uB BPYk9uv/LV4H2yVbLqwLI+BXaLflGL0Wzz+cmXK7R2CBeWiwdmItstcmlFsk CPNT3DJH3GtBVXdWantKwCLy+ydf7VpE93bVyr8koL/izeGU+bXIH/mwY/47 Ak0iR627WmjYnlGwJaGAQPMvf4VnWTQsMqkRZxcTeHc/MIpxk4Zfd94uGasg MDYoeH7KVhjv2HSplEaAd83fwFCTBs/mvD9tGgicywlfmjJTAwdNZvSTDgJe ncF+YrQafMsyfBPFIqDb+DPGJqUGTVEGmetIAjtWG+Zf96tBsgNh4TNGYC2V 2XHStAY+WtoLz/4iYKU4oOI4rwY1z0NUB8VIrHlsH7eZUo2SkN10igyJvXpN tJDoamhrFB+XUiCxZ74gfIVtNd7YK+SUKZPw/Deu9rNqNZ7pawT83EDi8Uzg AonBKvTOVn1t20rieI/9vvKCKvjbXZDbqEvij2WpDTm3q6B36ZDp2B4SApEH 8VF2VVggs6rP0JzEHMkSI9XNVagPO+e74hAJnldqhtG8KuRKNkdGHyORuzZt edF3KlYn5c+mOJDghPeLuRZSQc8LLz3iTMJ34u0fEllU8A0mc+JcSXyWr1kx N4WKF/EdVIobiSp/tbKD96lghof78DxItLate88LpiJsU72Y+BkSzZZcvvd5 KryVEnQueJHI8tI0Ou5KRXXJvyvpPiT8r+5WyDlKxXqzDyaK50g03Lqi6mlG hWKl8e5jF0hYh3bBRZUK2aAlA7QrJLaOPSjLFaWCIWuyih1IwttkNF6jjwLT Gop7RgiJmWVRlRkUCizdy9OXhJNIOcfS/plNQeyRryq6d0n0iUdXGKZTIDlk fDs2igS3fJFxYZIwX2C5oD9aeD/F0e6usRQc2R7XvfU+iaWv9vzSv0vBzVt7 jS8+ILGl6gvHOpSC4lNXN7+NIXF7u/3B+GsUqGlVKvY8JFFe5b1E7KJw/YdP d8nEkTC78mRjkhcFEnLfcrbHk3htUWTHPE5B76sgqfEEEnId844I9lNwpvFV aHQiCZ+mlSwJPQpmRD46zksh4dBzhUZsoiAt+Osn+6ckUh/HvopbQYHfR50b Bc9I/A+Wgo2x "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFl3k4Vd0Xx0Xze70phUZTlKJJRcI3c4ZCEqXQLSIyZEhFZLj0Iu69uKZM 13CvzJIkRERJRdKoAQld9yCvlOl33r9+53n2s57Ps/ZZe+219/qe50hT3Y84 CAoICHSS4z9Li0r4zxxId41RW+5MBS0iXscgaRY5ny5NL2XYY3fknlB992nM j+5aNXPuJDZ5/w5Vcv2DRr+ah8s/W6Mw/o8wY/0knrI31PDyLXHSSrPOSnAC i2cKhsqdLSA6jj0+rJ9Y0eQeHh1sjgoha6+LHqO4p/u1V+eMGaxdxa6ZH+Cj 8GvHAp1EU/yzaOZTt/oQWFPL1va0mOLCmzuij+v7EXhnt8kBlhk6g9XSZh/0 ojn0btbNHnOobs5b+nHDVxD5fNHZDguIpK2Zjijvxv2kGltW8DGkhr+99vrR O9xZw2mOXH0CGpIeTbInulDUGisU9dIWCgOwKj37CkYf9ZQsrlDh+PGHyGn1 dpgUaf9SrXTAwL6AAR77OTbaHY0urXaGHdpU12q0ovMvs5HmSjfMF7UJEFFt QX9ivhDP6yKkOfzLxI0mBBE2X18a++JubKa6qMIjdJxM9hASvQr31BJXHqUe r/TvHj8fHASB6LljeY/qsLpUo9T/djBom7PXPmPVwEf9qEWDbBh8WJq+tsxq PDEKPM2ZCMfjvVaW+eVVWHdGk6qyMxJ3hrk5ihOV+Phuibd+z03cnortiLG+ C2KgetYmmo5PRkHZKhN3MFSqdSq6gYk8EdN0n9vlYBXMpTK1ErDdrF2x3bcM 9qWlbztFkyBoUeE3dKwUj15KejzTSYXC++AOP6MSPG9bXS7dnQ632HsWJduK Uby7pfSidSaGzmbs+fWuENFF7lWhPVng9gQ0zksogO217fJeMdmoEdxYuZJ6 G1K7Li2UoObi8rCib4BGPoy+pHtcPcWBwvaV81+I52OaFhAyw+bAtCdqN3WM i5Gd+nYGPzh4q3siZ28bF/XiDwVtlLlo0tP715jDxTmHPW5q/lyU52l6pmVz YWgWqB0TwgXmVBijGVxIXd0u3/8PF+J0CWu9W1zEyrWuBoMLbzrOuqdwcSE0 W5wXz0Vy0n/P/60YO29eE4sLHU/V0/rke1zcZYyQ817vvlfwk4ybeaht4UEy jmlnkrEpmcf9+tYNGTe5yBAL/lNQzMU+8aT3k+S61vx/qyiVXFR0RxxiOpJ5 P7u2S31ePlbVTllc0OZi/vKK0+om+XhfFh1D28CFs9ndI8sS85HRTsn69IcD LW+qWGVfPgYM43N+tOXh5MLBZdtyCyFMW27PLssFO+zFzvhjJXDP3hkoz8nB q7l7HY1zpUjPctyVWZiN2iNrVe62lyNTXJtp1MCGwJunGgkvKpA85lz3TJiN ncs79h+OrcSgWKWfFzUL9YmpusOeVXj7O0b4a10mnptZdOzzrYZt+MOL1XKZ 2FvSfH8irQa/ly2hFDAzoNk0WtA9XAfdTgFf7kQ6auZWqgYerUf/Jt5L0bdp eCwr9tiltQF6dtp7m5/egvgC+sztk43oemkYONWWipDfmctWL3mMhJ1vHhBf UmDKo893bG+GTM5Y5aBgCjaO+zeI332CWJ3Db8K+J+HZ2k/xciHPcGkz/XrZ t0QITYf3zdFeoE7H//H9KRZ0Tj2dNrdvR1v3wS3K5ix83Pfi+Fx1BzSvm4/M liegZZ5ihdamTuzaI9RoLZsAouDhvnmZr9Ez+mH2elo8Oihbeno3vcFzhT5W w8Z4hD47PGx6/y2Mj3BlnCvicPmRwgOPY+9x79ApF4pxHA54EL7Tf3+EbW77 Es4QE2ein5x2b+tG8kNvSjiTiX/7a6PXxHxGzgnR7mldJubSRzRucb4gr7bf 2mGWAfeKcfXQiK+IdDz9dWMdA4UVS5b1O/RAMNCIyqExsN7EScAXvWCHXK5y 0GKA0dk6WevcB3P9o7tlFjEQvN/OcnH4N6RFOkv7fKJj0ulm0R3Hfvi4qJZX VdNxxThitl3tO3gGV4WPpdFxuNhBNFVwAJ6rpoprwujoa+nwSqgZwMJvM7Ue nnQwT1EMw10G8TbGE1P2dJxihTh6UIaQJMsyHregA2Zjv2kZQyjskNWfMaRD ZutO9pbNP6AllXr44QE6pBTWmje0/UCeW0lG1346nt+3E2uy5cFCcdzmlhod 1KfewWMfedj958frCHU6ZmIGtkgZDYOflJAhrUWHTmCjvCxnGBcjEt/PO0iH 4aND9XWTwzCw8WvpMKPDLWZFfJoGHzfyrSqMbOj44Wq+VN+PD1bm+ceLztOR YNTir3eHD5vCSd+QK6TuRVZl7vlG+j/5erlH0TEn8bp6njCB1Td2TUWmk/k6 6FgaKhFQ7CdUc8rJeD1al50MCNRWHF5Bb6FjQ8aqc0EnCQQclbZRIut7sKVI KOgCgZG+bhvbcToGhgSyt14lwDf5kir8FwPJV07MydIIVP+KGNosw8CDSrYa 7yYBq+aR8Mx9DHQvF1pJxBOYVI66aWDJwOEl/r+NUwm8Z1SEmngy8L2faiaf SaBkvU5bdjSD/B5NjndkE9i+ccLaIJ+BA+YD++PyCDxhV0ooNTPw+fW1kVtc AulOZTfN+hgY6xy8KnGbwLnvHpcK5zHhtdnaXraAwAlNB56cJBPbkz/f7iKZ wuOnt6szMZ4R4KJfSCAuWz6z6AQTQsbq1Osku0r2e1X7MaG41XQ5k2TvfRG/ JhKYqJZLdQ8lecG2dRb2FUy8WSB6+STJa35//jbxiomu1zfSpEg+Pa1rdXWK iWvNjpY15Hr9k9Teg7JxcJbOGtUneUH+g812ZP8cFFGybSDztd6rN1njFYeA 0T9blUn+bDJn4JAah95kGpGST2BwG2uzZVMcbkxwI2bJ/dIUXjjEjsdhLqzx gi7JRbaVJlvJfo0c/eITxiHwNpe/X/5oPF7KjKQ1kPVSHb5663poPOol6cnT uQSuLIjp1agg/enxvcokK3haRdFH42ErGXRSLYfAJue5Kr9tCYjQCsnVIOuf 6Fp/bNwlAYf4EYKabAIM80VmC/ITEObEZe3PIpDz5F1cwUACSuUy/PeS5+c5 3NYhtZeFpLGySz/TCTi8+iB5OZQF6QNVUQVpBGLXJ+yofMXCXoZv3elbJOed qfwomwgjXYG/Rcn7oOTDtcy9lIg1jWcoFckE/COutZ9/lohGB++3R5IIFIgp z22VScJon40Lj0UgtFrOq1ApGU4PzaqjmQR4zVv0F1xMxocfE83uDAJHZuXv j99NhuluzkFTOoEDYyLx/tPJWJ+Qoq4YS2DFo56EW9opOHRIKmNhDFk/bROn pYkp2HEmrTcjmsA/jywSrfkpkBHwsVOJIufLL3a5oZcKulqM8NN/CEjweOcG M2+hdlmX56owAn5ZC7eLUdJBOfvpmFwgmZ8OZWyTdgY09LX9Jv0IUEV6rjgt yETjh8n86IsE2LF8CZkdWVhSXBJ4z4nABC1IVjcgC4G02jYlRwIx1IJf1NYs MGgpHslnyP0ZxRgFrmHD3S3JcdaegI1qYXXSeTZSAxQ4x20J2BXVvyqrZuPM /uRNBTYE/gp9tUrqNxuKK8vLso8T2BPVVLNOJRsNf3iHE60InD9qOcjxycYW V5NJmiWBdRKswsY72aBVhhR4WJB+p6UKk+PZSNpmNGhmTmCDM7usZk8OvgfR JBRNCaw9s01v1aUcFPPzVQUPEZitsjnNL81BXezMrmXGBFYqtX7bP5wDHuWC jIQhqR/qjOqZzblQpSYtXE/qzd/BJpKubrmQiBSOf6FL9vd9Wpb3nVxQejQb /bUJuFx8ISg+lQuL+CtxGw8QUNZseNCXlodyV9uycjUCU0aRlHY9DsYvxrbK 7yHPQ0RlUxfBAV1u+++A7WS9ct6946Vy8dzF62yVAoGfW33V1SPyUb3I1fmz NAG3CHWPLr/bGPuZKvZ6NYHOhYuL09wKsENy1dqU5QT+VX5z3cu5EIaS84/t WkLgS+ZD91rxIuwUZDtZCxHYZXjzL/2WIth/Oh7vPMPHEzF269SVYmQ9erfT 8RcfWY3cJQPiJXDVnMw4PMpH0ghl3s/9JQjzpzh94fOxuvzkTXn7EpiJXlVw 5/FxKfLbxuDQEtTf7x/8M0jq/buR12taS2A36KKwl9Rz/89yGtorSlFpEJPk +IWPg3YqouPHS2G7jnUt6gMfrzxWvtiaVQqanZckp4uPsntuy3eMl4L6wdxK op2P98qrQtv1y8D51Wbi38qHKaH+bXFyGdTO1Xh3NpH/ISJ/lz0fLkOQ5CED 6Yd8CJ91fbLFqRzKI82TTyv5OKGidvBGbzlKlda42BXz8T/Fi6Ay "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1gk4VfkbB3CJsrVQpEXRMBJF/YvK8pUhZG2RSiHLKDX2GFulENlmSIMY pM1aloiMZIxzDolSSWrKHVLT79hvKZn+v+7znOc+n+e559zf+/7e3/seFTff nZ6iIiIiefT69v28pu2VgiwD8dzPKw+kfECk+szDbd8xUCjd6B6FDyip/kl5 xJhBdr+s2ixGCB1HZc3HBxgcdTE8+NlRCIUWHfPYEAb/Sa4PcR6dwEGPG+4L f2WQ+2k01iF1AtPFLmUJhQwcy3dnr9gygR/FgxeYtzB4+2b1zc4n43gaeLr2 TB8Dyaa42K7QcdguvWm4Z4pB+ZOhCqiN435YwsTDBSxM+J8VbbrHIH/lwExJ TRYb5m07YZsyhuJIjVLdbSyqjbfOMjUcw881fm+vubAo1xH0x4+NwjF+i3Ro CIul6/37rcpGESa+36s5iYXTwkUrHvuOwqF7ZfClSyxqOn9ridEdhfJJCau+ Ohb+7abWJsIRPOgWvaDzkEXucXPxg3Uj0A2y16oeYOHZVLd2YcwI/PsGm89P stiy0Dy6afcI4uoifiCSHB7oVG98vmoEdw5t9DymxMFyua792+FhLJiMfCBc y6FEOvZjZsYwpBZaaFcbcfCv60T49mH8UR3x8qk1h115n6Z9xYbhoKlgGbmP g7C+SDrmryFUvUh2a/PgoH1Kav27xCHIefZMvPLhMDZ3RvTgviGc+Dte+DSE g9G5Lw8FmkPYuFvyAXeSg2L6x74dokMI2NflrxzDYdPqjAXdAzysPj7HVDwH mWPvv/du43Gj+X6MWzKHQzmyGwQVPNbPKxRxTuXgNdo4sTibx0cjlXcT6Rym d9x2HI7lsbhrjn7XBQ6/vpHSrori8b83dq7Fv3HYXmO4MjWCh0LjVFBkBod2 kfzyuBAebbvjzltmcqhc2u/6WwCPhiNmxQepDRpvqC+hVm6dW+lP/a97/+oc fx429u+LY6hLDdy9lanf6uVeTqG2cF63WODHIzfz24eDn6FUdwG1TPiRtALq IV+5Hz2pgxaFxZdSKxzXF1Onfhq03Oce9XfqjHORL4+I5Ps/PKGWLq8WrqHu skiQeke9Y817ttyHxzZv29+LszjEWy4V9B/hEV3Bhx6+yEFVfkpU25NH3Szf mhXZHESVampSXHkIWyP8HlJ7+P+SPOsAj2vFYq/DcjnwaZ/eyW7noX90d3h7 Poc3vEtC8GYecsvun+ko4FCg+Sl58WoeeqtdW2OvcMjwWmYvWMrDoXagavIq B9ms+Vvr5tJ4/3wWdPs6hzQr6zv4QpCqGvz7UCGH3phyiefvCTYXKzoVFXGQ 3NwRbf2S4GpH6tpP1BKGfWOHOgmmLlZqDFJLTSQdft9MUDQoIXeSujPM4uTd OoJtak9uOdHnSQYYBzOlBIdrFFeUXKP7qVz4H7lEEPr77LVn6fryXot9fJ5J IBGoaCxC139kMG/MMpWgVV2lVj2Pg7zzruHpBAL3+TYh0jkcclUVAptjCeJN mvRqaH6jpTsmAk4TWCz7R/7ceQ7PbrpoR0QSXHnvXb4ghUNQwIbG9lACyUap Xi9an9igsV85hKDZSFX+whkOMxIeqBkcJ9AbwamiSJqvXv6gMJAgKPFTehmt f9sTRkUa1EezVOsK/Wn+8rUUGgIIXDbrSkUd5bA27a+gHGqnV1+b93nS85l3 fk8tdeFsn1Q9Fw428j38THp/daeZsdK38/e41C+Aek2tcFRmF4frx6r9vlBX eX01k7Dh8LAs3vFiEMG40+bA+eYcRlc9+mpJ15cFaQlfcJi3lksyCCbYdQOC AT0Oa5YE6hvQeDZlTPce1+Fwd8/INtOfCRjvuYErNDhky7012kHjf3THXSBQ 4dDmYnfdNYxAvrhkY+MSDsO2k7f9wgm6w/Xc6+U4iCjlaV+NIIi7MuN5jxSH liuPonpoPiebKvUUZ9J+YVd2X/IkQe+1TxIhUywMdzSE6J4i6Jky7xCOs2gK n63sEkX/P0Y99p9/WXjZnYpuoftzJ7hB8LWPRednX0P1aLpfw2YCyx4W7+4d XRcVQ/D2x/jTjZ0s2leOuTym+2ssYdbsxrJwfjLerRxH8G6RqJlbAwu78F67 sngCbaWNLblVtJ8amS1aT+vDbr1m+uJiFglWZkdKEgksmyxkHuSzGAjaH62U TMDN7H3SncWiskfpn3UpBB2iz/aInmeRL/PXsq2/EETXV/dZ035uZp5pbfUr wbmHGu3VsSzKtE4n2dN6XLM8vS8kgEX4LHudwHSCsejEAmc6H0wjTe94ZRA0 +DzJ2GvDQvXEHLV1F2l9yqzO3m3AItRkQO1RDkHI4M4WEy0WwfywuU0egcBM f9BSjc6T0opa13wCxRfBm04sZ2E/f1z5J3o+jn9YFPb3IhYBXF1JQAHN75jz 8SOyLC7vHE32v0xwc8HT/DVzWNzqmixQvELwMurCYjFJFm/Ka17VU7deOBtL xFgkFTXZOV8lkDH+wyBzkkHO2cceptfp+fZxahokDF6X1O2ULaL5vOv3Qwed n3sNK0+0FNPnabbuNe9mYNX/cLMnPb+heywSC+i83aeqqz5xg0Au0UTOs4ZB Hx/xh1UFwYadiVrH6Hy+/EFL3L+KIL2r2EPpKoO4cXHxcWp98Q31ry8x8LQU 0w24ReMpVGu9lcvg0Bb7oiHq8Jdiq7KzGchkXg44XE2gpe0QkJbJwEmqMucV 9V73Z9aNFxj4Gh5Isq0hyLtp1jqVxsDUTl3/DnWH93CWGX1fcDXdUal2m2B2 4JRfTjKDvMQvM5Kpq3+JczBMYNCz60OUXC0Bbz7VPn6Wwf649WfTqLNubzdo jKa/9zBeLUv7V6+PwuxLUQy2HPpyOoH6UbLxpnPHabw6jgLPelqPHpWvy70Z qHg1qsxroL5Wd1njMIPlB2LcA6jT+tn6Ck8GYfdWCR9980zXEmt3BtqhfRM6 dwlU6su+fHBlMO12OTCR2taA6Jc7MzBy2xkxQD3ZfatqyUEGmn/LV37XSLDE 5cxoghODKOkPta7Ugzsz28T2M0gx3JyeTb1deGFZzF4G775/v72bOtX38+wZ jgzub5pTIneP9s/XwrRoBwYCtfg+a2rRMNnMebsZvLA4NhpDLSjxe9luyyCp wvL+riaC5C4nBd6SQeMsNU7uT4LptiG/OdsYlDq4HCuiltz+gvU2ofkc2X9r E+3//we/fiCW "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.18000000000000016`, 0.8999999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.20000000000000015`, 0.9199999999999999}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.9249999999999999] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUFlfX6LGLYu8NJZaowRI0KGocNBobNiygYsVesAaNvfcuolGj2CuI ir08iooogoggCEgH6dJVLNzctZ7fnrXGlcXNl/dr781fz/qtPXtm7zPn7HPO nn0ek3EzrScUNTAwsC9lYPB/f5cv+tLSeE2Ybuz9VbqRndyVbnccgtyHvBCu UPTOu7VWXsK2xgsrX7hyUhj94T1eh93t4in6MPow+jD6xV3fB1tPeCr6MPow +jD6NoZlps7p9kL0YfRh9GH0TW/VmNxxaIjow+jD6MPoF5nZeGLxya9FH0Yf Rh9GP2V7rYsJnaJFH0YfRh9Gf8jUBt/7PIwVfRh9GH0Yfd1P37qf75cg+jD6 MPow+s3qtWzlFJwo+jD6MPow+rvy2rotGJMi+jD6MPqwV3yR13YxHsrnZx1b jExKU2IOmK+cNCNYF+F4uFwr+72Kla7vwJxFfsI8Dz6+wa5Tmw63hNHvaX8t LflYqujD6MPow9gHt3XdcLJ0+Z3KxU666c9avBX/eB7+wejDXM/9uF57f/xf vG3qkmGjt+hqmqSubDbkhHD6uTzfC0VTlWJHd5g/qXRbrq8yMK5k5ITTiu3a z1bOm9KlPWH0j9RaWK5RD/X+PP/7zftCuv76SmfqdmaI6axZyi7XgO82jw0S zvUrsyyo13Nht6g1x34c/0RYxp+eZzfM6+3f1lN48tOnMQ/LeAjT3mWaHbr5 dvQNaS8Y+8wdd9xu0u+ycGTYuevXZutEv1V+8qsNgx6JPsz1DxrEDT/+5IHw vheZtg7hj0U/tVWxlC03/UUf5nqHtQVD26X7qe13YG1zA4MA0feMqZg01DdI 9GGuN3LccjpufaDw/P5OTR9XChZ9593Gb+pHhoo+zPXRTfefdN33Stiq6JEm OxuGi/70nqbxiRmRog9z/ZWwU8cdz0UIbw+12em6L0r0XT4fyLRdESP6MNf/ 3CPsef3IaOH8S6Mq7WwYq76/4KOzfiwTr74/PXO9e4OYAcUnxwmP3zJhu+O5 eNGf537mrcmuN6IPc33t/MRniRkJwn4Tp1cY8UOiOt43XHAoWTdZHW965vrV L9728/01Sbi95dytyp1k6e+MB/o3TP+F6b8wz9OOJ+ZTmPkRZr6Dmb9g5iOY +QVmvoCJ/zDxHCY+w8Rbxjf2E59gxjdMvNL6y3hG32udLnWZVXxnrodpL5h4 cWZyzO+uv6Up20029OtuE6ibN+vO0N/+4BPeWUnn+3sLu7fvGzb4/nnhfbZ7 35cJd1fgxffW3l9gGdy5wuqQi+lTNwqHDkkZM9f7sHBg2A6/FU5XhS0dz50a +d1tYadB42MD0h4KP3GZ7W953Vv4YLhu5sXS/sIdVv08cYrDc+F523xnLKod JFzRfPB4s+UvhXt2DZvWzTRUOC5x7LiPO8KEjXMTp5TrHCn82rdd65iBUcIf Bn1sk/JtjHCPk53Pe4WqbN+i6KVn7nHCF5Z3b3nWPl7Yt6ShmYfFG+E6w61c t6Wq3C6qwoW9nknCa9oMMp33S7Lw4evVWy/pkyr81mj4WdsvKpfdVe/82MB0 4WEJY5r/uO6t8luns56j3p2S+bOt06Liv9aLv8P8yPUyfvQs40fPMn70LONH zzJ+9CzjR88yfvQs40fPMn70LONHz4wfmPmX+Zv+6DZ939DxlXUyP2dl7Kl7 qsrhr/qrTWrqscjoM8IWLi+nJVxPUbLmTLvnlnhNrt/qseRa+wvXlYUWPy06 2VOd35GzHtByzabW2WlG6YpLm1MBt/LdFafsBanTolR9n9SF+7wOpCs36rRq US3ysqwXvpTqt6v24EM6rb2sF2DiAestxjPrLZh4DdNeXxbETnDxeCv6xId+ RreSp8S+0rV+tKmnbohL56pGv3rVqaCyY4sLtSa8CxR2b5Hz4yWfIGGez/0q 9zfd8enSc5GH9Eua7hbpLzwnquvyt9seCydHeXtvau8jTLyC8Yf7n2toMdPY 8L7IzRtearJyzD3hdJ+f9zUbd1E45qn1d+MuXRZmPMj6R9++eyvuOOdT6pLa P12GxhuG35XxI+sdvTw3zT5g/sn7wlNKzoneX/BErpf1jV5+aNAyP0MfX+Ey V7zSnXcEyPWyntHLj9n1je/7Th1vEZMDU0cfDZbrZf2ily+sMCK2uuErYY86 MclNL4fL9bJe0cv7eU6OjqwdIdz9zfycBbFRcr2sT/TyHR1uzhzsrI7n83eX zh05PVaul/WIXv6ximd6+/pqfKy1b01Wl9x4uV7WH3r5hDTvGfVOqfFg1dzN s5ssTVTjF+sNvfyZ17PUIt+r8TPNaldGmVIpStuacZc3rAqV8dTSYODHjw4h wu+HD7arOzhAOKvrvcNbFX/hBR03lBjV64Hw1LL227s2uKvKP2XZRLe5Jizr KT1jL/EX+47++jr5Sdd0xc05/orTaBdlUq9Iv32ObxVni7qGL6a9FH3md/jK +5qjfRY8FWa+l3ihXx/ALr18o+pZ75b+fnVTB4v5tZd/Nb66v0hqnTzwmo7n wdwfxj8Yfe/6T2Nqfrdd9GH0YfRhuxkuJob+TyReJ2ePTp69J0i4yYW3P0V6 vRb+/qquX5OPMcLPdq/7GF75jfCMef1P7WqeIlx2UI0hvbu+FQ7a+3a5gWum cKP1g4LDrmULz51/tcXVB7nCnhPrrN7p/0640tBloTPCPwiP6R7bulfiR+Hz bXusa5TzWbig4dnXBQUFwsR/j8EmLxtYZCj4D+M/jP8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+M/jP8w/k+5d6zariWZ4j+M/zD+w/gP4z+M/zD+w/gP4z+M /zD+w/gP4z+M/zD+w/hv3LLpkBKeWeI/jP8w/sP4D+M/jP8w/sP4D+M/jP8w /sP4D+M/jP8w/sP4/2LfWaf5JXPEfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH 8R/Gfxj/YfyH8X99qVaBSb1zxX8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Ef xn8Y/2H8h/G/87yLVey25Yn/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/ MP7D+A83cK/ovd/FU/ZjtIfsz/Tr8/JlY3OHhWUIP5g/8Yen9bOEF8Qlzes8 Plu45cAZHu6ncoRjb2dkf5OWK6x9vnb/RHyGiVcw4xemP8O8X/Kh5bKXby7t /1b2Q+xvrKrt/fHmsufiL4w96wO+3dP0/CuRw5KffjTife+3USKHkS8/0fB4 kVLxIoeRG69JGXjNOEnkMPJb9pe+OJiniRxG3uLw7aDKJzNEDkv+eLuJafrF LJHDyJ8uW7Py8Z0ckcPIa89MCjn2JE/kMPKpo/q2Wv7yvchh5Nf6XlgzIiZf 5DDy0j9WCzdP/yRyGLmN6a9mlfO/iBxGzv6rXdiBKe5252Q9B7P+nNUg3MzE 8pLw1l9WzDC2OKJjv8n1MOtB9o/IYeQ8H+b+MPED+/cX/7TLedML6X/EE+TB 9zalFbsZJnLiC/KNui1H2+dGi5x4g7zpwSED3holiJz4I+N7cb3Pxxsli5x4 hHz8iPjTdp3SRU58Ql7k96FnDZtnipx4hXzA5htF4n/IFjnxC7nLImPbu11y RU48Q54+daXb/r7vRE58Q955eELx+cM+iJx4h3xzr94jrCd8FDnxD3l4e7cL LWZ/FjnxEPl3TSuXNlxSIHL2S9r9yP9rfpN4WjT+YHTogXTF68S0VlFPvSU/ c3B799mvdwcKh/YNetL7Ybjw5jVmle0Wxgg3H59/p/LOBGHvrp7THp9OFp5o srHm8nvpwkUNTo/bPz1T2Pqt0XXHBdnCRyJmVbBenSuc4Rs4ocX2d8KWt9vf Kn3gg5p/OnegctzJj8IR+w2m6C59FjbdNF63T1fwVX4r4EaYidcHdx381HLl tsCHJ3S0P/kgbX6Q6zuZV65x1C1DOCbyUmDF0pnCGUd2D62WrbKzVbuqq6yy hE9UqOW8rl22sNX1G4Nyt6s8fPGBoA+LcoQNmnTeNSlI5YpJ9atNv5srfGXn vYBXtfKEmc9gxv+Jg927Ta2i5v+Y7yT/pe9f2vmOfJjkb/Tzn+SH9fMfzPwH M/9dcex+48HRB2o+UrO/1+7HtflF5kPsZf6Dme9g5jeY+Qxm/oKZr2DmJ5j5 CGb+gZlvYOYXmPkEZv7Qtr/MF/r2K782/KfFay8LHxxcZI+/7X7d/+/5yaw2 QVXMXjyV/mRwccmDJkv9hc1tFtqX/O2lcKeZ5YydXEOE51Qtc3uud4Qqd/a7 udwhSvhlotWmjEWxajyc5zy53do44XmPqrY/ueuN8IJBo6ql/54oXPlEeNzI synC1c2aeB67nCrsvvrYjqr33woPLz3/quvEDOET35sfmpCmxssz70LLbZiT JZzXYF+u5Qc1fuYndB4/fmmOcLeKX/rULZEn3PPlkRvKRpWdCsYeeVfxvfDe hyUr1XFWOSb94fuAuvnCCR5TJ+UdVtksoll/t6af1PY+5nf7uavKK323HN/Q 9ovw6l1mVV2vq9z8oW7A/A5qfKb/s76nv69tluURPEFl59QX5uEDMuV61v8S n51/yel1Ro1PVsNsHPvtzpLr2R9IvC76oc2tdFXfwCv08t1X2XI9+weJ3zMX z23ZRuUrZqNyzYxz5Xr2F8jtwgsuusxXeeqh6LbHx+VJPpL+zH5P3seCi1f6 rwgQZv0GB/7QteJt91Bh1m/w+g+JbavNihZm/SbXh7hH+6yLF2b9Bj+4smDr ykNJwqzf4HG7LTtaXE0TZv0m47FD8Zz5b9T+zPoN7tdscu9B2Wp/Zv0m65Ga T11aFqj9mfUbnFqq9TvDsur6gPWbjOd3u/rGV1fXC6zf4I0J747e/UZdP7B+ k/EeNCJ/f0t1PcH6TfLHmu9XtX/xq/lb03vK2eZ5qY3Oq+uNqGUD3k0xUvON rN9oDxj/YfyF8Q/GHxj7YeyFWd/A2MP6AHtg7IGxB8YeGHtg7IGxB8YemPUp 31sZDzD9H6a/w/RvmP4M039hnsf3XJ4H8zyY58E8D+Z5MM+DeR7fi3kezPNg ngfzPJjnwTwP5nl8j+Z5MM+DeR7M82CeB/M8mOfxvZvnwTwP5nkwz4N5Hsz9 +X7O/WHuD3N/mPvD3B/m/nyP5/4w94e5P8z9Ye7H93zuB3M/mPvB6PP9H30Y fRh9GH3qBdCH0Ye5nnoCrodZz7F/YP8Js/+E2X9K/kmvz/4CfRh9GH0YffYf 6MPI2Y+wvqeeg/0MzP5HK+d7N/sN5Ow3pJ5Tv9+Q+k/9fgNmvwEzXmDs43k8 n+/nMN/HYb5/w3zf5nlaOd+zYb5XY69Wzvdp/ON6+jeMnOul3kT/vVraW/89 mvbTyqUelvbWX8/70dbLsj5kPwGzH2I9SP+AaW/mP/q79v1r5x/kjBeY8QbT PjDxRfu+uT/PY35ADiMnnsPEW5j4yPuHkRPfYKnv1r9/GDnxh/cLIye+wMQP WFs/ra0v5n3xPhm/vD/5HqbPD1KfSj6RelHyj9R/kl/X1gt2Sri/xtE0U+oL M617PEyclaVUnb5i0IrWqQr1giFumR+qFIlTqC+l/tL5wJrj5/3U+NLH0DDe pEq2vC/08Z/nk09gP896Cya/qc3/Sv5ez8RP2ku+D+hZm39GDiPneeSfaS/s 53sEfGdryDzra17C+X0m++ne+AmTP4YtYu9b9j0aLEz+GP7FZdC+GwGRwrw/ bfvDvG/Yccv1E09qJgrTP2DaW/Lf+vyN5FP0jJx8DnIYOfkd5DBy8j3IYeTk f5DDyMkHIYeRkx9CDiNnvDNfML/A9G/qzWHqzdFnfkEf5nrqzYkXzDfEN5j3 Q304TH0475f5g/dPPTb9T1vPLPlX/X5Ze36A72nYq13/auuDtesV4gPtIetZ ff+iXh7/iaf0T+rZmd+YD2HiJeOB+nHmO+ZDmHjK+KJeXNYrmvmReMt45TwG 45/1E/Xi0a2KTvxxo8ra7z/Yz3ilPl7yD3p7Ge/Uv8t8qbePeEF9O+OT+XfY 8UYGdRtlSDxivuZ9E6+xj/eFnPiOvLdtjO/Maur8Pu9Rrv2pLWlf7S/JP2Iv jH8w7QEzv8P0f5jxAxPv4ZgLzRpuP6TO/+y3kbPfhtlvw+y3YfbbMPttmP02 zH4b3rv0VNVjvdO+2q/uMX+90cw8UBllllA9KSbpq/3Y5zYX7KpNilS63V1z 5+B+df3gEvrw9c3XMV/tZwKKfjOyXbq6XzFITJmy2jNJ0dbb8z6m3stKnNwn VXGrdtL+dgVvWR8QD9onjbzRa2yGYpnX4ZJFQ3W9sMP2yDceXZOVisUPPijW LlhZsuiB0ZVmCcr1ork1l5+LUj77VO8WkxSjzF7T1LXWzdi/Xd/vH9O3i2PF R7rpTp0iJjlkKgGlhsY2TA3UVbAtubn6qiwl+KB/h9HD05SN9QY/f37XVVct dvRDi8NpyrX6/e67Gm//2+cDovctWdt0/R/7myPDGxfzuVboeYGGR65FHCma psxWrM60e+GljNy4Jy8iJVUZVM4pvotR4ecJDPu5Bc7ulaqM891T08D02d8+ X+Bx4Ns5jT2SZb9yreyLWZ+LJSnGVvZ3it0JVe5Xzrc+/iJRiYiq3MS4098/ j2Ddc/EbtxcJst8Z+9h7VLndcUpy9ek2DzsUfl6B8T/1h5jLvc6p9fn/0fML Rxxa1axqEK5o63v/7DzDrZMfe7qtDFS09b1/dr7Bs/fNW11mesv6O9Tunu3J 7+/qFpiv2edUPFMZdb3C9i5m/rptn/1WffiQqTiVNwkLNbkp63Pica3nvvFO Q7IU2/fHshcufi77KcbvkRHvGr/rqK6HG1f5KaJ8Uw8dTH67sPMUXJ8x+vvm 9d3UenHm80GPbi28v1Wd3ws7b8F8fmjk0Gmr56v978/OXzC/W58Z5rjEr/Dz GBvdDo8qMydS5nf2S0tP95lbdpRa3818Pmp634m5w0Nkfmd9MOaSmc88+6/P c3imbw1o7+gv8zvrA+Pei+fGlC/8vAf7gwW+I677v1b3V82MDue0eJKlvK/U bo3fsTQlwSv1zOD5Lsqm6F9arjjyR/tfG2fv1+uc4tvUKnzY1GSlueOMLnNu vlSCYh+Y11qSoLxaaxz+w5AoJSf9h6wdKaFK+0q/utfLfaPYhRyeZF3yhXK5 puKV75T81fmSEudmPZnxMUX6Q0PTneFOE1KF61gY5/mPSFGaHOwwftaKF0p8 zbkGRsf/WBcl2pyuUS9Cadl66TCHCxFKiTEFq6z3JCgeAa/di5UKVm5Prr56 Ui91fHFe5eLuEnnlXvoq07KemAwMSVFOu60Mjut6VDcg3LND6/4ZypMzfqbh Hq90dk7N17wxzFYO5H4Z4PlNiO7LhPkhtSKylOoR/Tt6G4bKfm9unTyzWbPT xd7CzqPcq/v78dD96v5wVRWTuuuOqvko7XmVnKdm5/eMSpP1/uYxQbud7NOU gUdKR/X7/YyOeL+gfURHn6XOusDSD83jVqj5o/sVYl5/szhNsdzawbbP9ZuK 4pZTf3ffNMXequGZSaU9FaMlnxon2UTL+k53aWaVlc2jlYaeF2ont4z/y+dl WH8mzO28s/9CVW5/o43lp1i1foD1hvZ8VQnrjD01rp6T9jQZEPLLiaonvooX nEfiedxv45Gy6S2m3FSvP1pj2cQbd4Tzt9b5zWXzI+GVW3cPKB73UPmPnm9h /PH8O30an5ldxU/uZ251NqvcrWfC11bXO3E794Xw0tWhK2aaqMz453517Y+0 bGIRLPKh9vHW88qFCOd0cS1o3jhc+EaXqWHhA8KEiT9S/9PAbP2uyZEi77W9 w8tZxlHCvy07aGrVPEZ4UcHi2o3vRgsTD7nf4/SoWQZPY0X+xqHoqm/N44Tb jZr4qmjXBOFaEd0ehQXHCxOPud8k31P1rsa+Efmavk9aRfRNFA7q1HLt9WHJ wldvGc3b+TZJmP0E97PufqDjTsMMkY8p4frgeGeVS3+OmLmrW6baPzr5JSyr oDLj1fJ5zMUos4tS/8H9Xdoa7JxRLUuud8+pWGdFb5VtU7t6OQzIFu5pavbj iDoqk1/gfhkNxyf2NMkRuUHcvNl2Q1U+FXaibm+7XOG9dZx3mX+rMvkI7te5 infnRi3yRN7vRcijduNUzntSZm7jye+EE8rkJ1VqozL5C+63tajp7oL270V+ 0LOTcRUHlX++4fDYYN4Htf/nj7RM66wy+Q7uF565LSW0W77IUy+4zEv/VWWn 0wH1w5d9FF6ddM/Zu7fK5Ee4n2l0dpcrAz6JvNPh4j6P16gct9fc8eqmz8KB IY3Tjg5VmXwK91vsb7N3h90XkW/cPtnk+A6Vzdbve7pzT4FwI+8NPy0bp/Jf Pf/WcuGXh1YfUiVfExY09lUb11TFzjylwfBKPn/5fNyTibZLx5dJlfxNkQ5P m1cenqq0rGhTtfM6P6WWgVWThptSlEZ5kT4vnwYoJoYeFsf+mBc3Tlxg03zX 8//083URfWts2/0uUfJF7uXis4fbJirlH/UZ02/O/7zzdzWcStbv6RmrxB4Z e8j1U4ziY2N1dmgvNX9FPuvR+nYbj9+PUUZMO2VUe/sfduTeeFyjdJyy6aWF pYtRjBK2be93qxzj/u3P82nPB29MCgua8/vdr+p7/uy8X4+yqy2GX5ygc682 2tatRIbSta7b5uEODxWnq6+eGVVNU2Ydc469NddTV/nhIYc932Yqp9bVKTv8 1k1de9NS5SyiMpTdts/9W01Xv0enmYRV2ZKlft8lH2mw3uDKfqPXf/s8ofa8 s/Z84Y0S06M/uu2X/Btyx70/GE0wVr935hrtLn5/XKYS91rXd9N9T8lHxluf v51UK02ZXs3SYd+Dq7qUN98bmPdMU0aM+jTSZ4anMjO86FwlMFnxyxx7b9K4 IGXFzwEfL5xMUo45lz+ZUBCi2HhZb9mVnKA4zT4ZUEQXqdi09146d1y8kvt8 m/2GX6IVh+C14XsCwhWjW4s2L+7xRkltd27AF8M/7jPiy732GUnK02nrwgNP PlZGFIwsVX5+qpIYY5g//oqP7tXp3b4rPDIVb9cpUe7HL+o6RJeMq7A3QxmV e9N0Xr9gXWWbpo39vbKU5u6Z4+I3B+i81hn1jO2cpdRq3dDi8U9RylWjW6Xn x8UrF0+Zrx/3OUSZZLnOaJ1LovLl0p3cgo/+iq1LyHbXdur3I/J55Idg8kkw +SaY/TpM/gom36X9Hqg9f6mtn4d5HszzYJ4H8zyY/KA2HwiTD4TJB8LkA2Hy gTD5QJh8IEw+EMYe9uPYA2MPjD0w9sDYA2MPjD0w9sDYw34fe2DsgbEHxh4Y e2DsgbEHxh4Ye4gv2ANjD4w9MPbA2ANjD4w9MPZo62/Id2AfjH0w9sHYB2Mf jH0w9sHYB2MfjH3EX+yDsQ/GPhj7YOyDsQ/GPhj7YOzT1v+Q/8FeGHth7IWx F8ZeGHth7IWxF8ZeGHu19UXko7Afxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hs J1+G/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9ivra8if4c/MP7A+APjD4w/MP7A +APjD4w/MP7A+APjj7b+i/wi/sH4B+MfjH8w/sH4B+MfjH+S79T7B+MfjH8w /sH4p/1/P+33I239GN+PuB7meph8N+db0IfRh9GH0ec8DPow+jD6MPqc70Ef Rh9GHyYfR36RfDtMPkXyk/r8B0z+Aib/AJM/gNn/w+zfYfbfMO9PWy/F/hhm fwuzX6U/wuSbtPVx7C/pzzD5Lm19G/s1qa/Xs9QD6vdnUh+mZ/KF5IO5Hub+ 8v+P+ufD2AvjL8z7kv8/0r8vmPcF875g3hfM+4J5XzDvC+Z9aevz+D5EPpnz FvRf7fls1t8w62P81a6X6R/EF5j4AhNfYOILTHyBiS8w8UXbH1kPwqzHeF+s L3i/zB+8f+Iv/YN4Rf+hPelv8n+Y+ngM039h+j9Me8G0F0x7wbQXTHvBtBdM e8G0l/b/SvmeSP0Z/x9KPQz1I9S7UC9CPQ/1N+zfqbehPoV6GupRtP+vyH6a /1fkew728H0G5n0zvvg+QHvCXM//fzJ+yS/xvmDqnbT/N8l4gZmf+N5BfIbl PLi+/8h5cD0jp78hh5HTP+W8uZ6R4w9yWFt/hhxGTn0P7ct5bW1783+qp5zW D33XKkvknN+G369KPRfQMUeY89vwz3MHFHPrkSfM+W3YeZzHsA2D3gtzfhuO G1jTffzofGHOb0t9Z5fFJS2nfRLm/LZ832sdZVdn/hdhzm/D9Gf+r5X2ZH1M PpF6VvIPjCfqqajvgvl+SP+HGR8w94cZT7DYp2feH8z7gXkfMO0P094w7QvT njDtB9N+2v8/ZTwTX+T8n368U68LU+/L+GL+QV/OA+qvJz7AJ3RPio+4nC36 nAdEX84H6q83cNzcyMlG5RGm/br5fsgRfc4Hoi/nBfl/3JgK40seULnib89X KZ3V84Ks53hfzD+8T+Yf4intx/wCE39h5huYeAUTz2DqH2HmI5j6SZj5CWb8 w8RXmHgBM3/BxAeY+QwmPsDMbzDxAWa+g4kPMPMfTHyAmQ9h4gPM/Kj9/176 M+9XztfrWc7X61nO1+tZ+/9GxGP6B/WVzGesp2lvmPdBvTDrG9bP3B/m/VLv S/xn/Ux/gOkv1NezX2H8Us+pHb/Uq0o9i368sv+BqRdl/BLvqC+mvbk/96N9 qfcnXsDcj/YjX0p8ZP7CP+I38R1Gn/wm+tr2Jn/G+9O2L/kgxjvtqf1/kH/q Yf931cP+V9e//rv/30th9bmF/R9MYfW72vrbwuprtfWzf7X+tbD6VW19qra+ VFs/qv2/m8LqQ//u/98UVk9a2P/jaOtN/9X/l0P8JD5q69cKq2/V1q9q61W1 9ajaetPC6kkLqx8trF5UWw+qrff9s//f0J7Po370r/7/z392vWlh9YT/VfWn /D/J360vLax+9L+7XvTf/f+Yvqpn/Yv/z/Svrlf9p/70n/rTf+pP/6k//bP6 08LqSf9ufWhh9Zv/6npJ9kPEY+15Ju35jn/+D+7f6//gtPWe/9v/7+2v1qf+ 8/9v/7P//62w+l1tffJ/dz1vYfW72vNx2v9fLKy+V/5v9uyIG6tz5+r+ar3v /wFkMRc0 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNludvlmUUh8/bbVvbt4y2tEhLqVSggFiqYFFcOFEr4gCpVqSCMgUHoALi wC/uvff+B9xRo8YPxBFH4ohGo9FoNBqNxu3vl3MR++HKcz/nPve5nzPfd/zS tQvWlETEF6JUHC5miWmiUTSIEeIYsb+YISpFCfrHivmiTFSIAntHitliuthL rBNdolqUo1vD0/ZOEgtFLfftLupEE+8jwbJ6nrth7wTRL6rEInGqKKJXzT0D YokYJSaLPcVEMU6MES28jxcdog1ZK+97oDuBp/fPFIOiWZwjVoh2/OxAt4QY OFZTuMP7q8Uq0ck9o4n3ecTKMdtX9Ipu0Sf24dvniB7s7U2uCuRtOnfOJlel 5KeSdSM+tZCHauLYT5wqea8jByXIKtDdFfuFrGvQc44aiP1I9hq4b/SwfFej 2zRsr4Uc1HF2BLlq4r3A+XLi3cpeC3kYR346yN+YYbJl6LQOy18HdJGPFcjb OG+Z62OI82PJVRd6E4m9c3G+mEluLiBPPZz3/iRxITnrxZdpxHUddmz3MHEo OXdtrI2sgaPEPPI8mXsmca5nmGwm8ivFFXxHN3dady62LXONuD5KsdGHnbl8 h/VOjuzJWmzMwc7B4gAxFT9m4csOcRV6h6A3FV2v94ucHwdGzooZvHu9UVzE vZfzHf5O163ni/v6ONZlMD/+nz/Ho2Ofjsb2gsi5UAWu70r8ce3W8LSPRfw4 gtj0c7aWuM/D183YrWL/RHTqsVXEbj/y9sjacl1dTEwt3yrOjqwr17d7xnNp aeRMaUa2CPklYjH2LTsNeRG9et6XYK+JdTPPAdaXitPRtewM5IuxW+R9EBuD fM9Yzg1wtpU9y7fw3c3onoXcLEO3jXU7z6FhsfHc9Aw8l3U7+8tZT0Cvk5gN Ydt2G/nObZy3/prI/umEVdjoYu2ecs5PwV/fuRJd15Nrx/V1GbZ22VjN2U2R tWgd15Pr0PXgXvbsdt0+aVuFrPmV2LKdl8SLkX3h/t6OzSmc99lyndsZefZO 8U1kvm+N/I12zd0uvsKH5fjfTj63kIsa2akVV2v9j/g7cj79Jf6MnFu/i0fE evGreAifncOtxHkn/vh7PLz+jZxnN4vPInvvXvED524Uz0f2ue/zPOoDzyXP Kve5+70XvU3E0/NvI/ueI54nnk8bIudCNzHewPph8RuxfFT8wd6D4hdif7/4 iTjdLb4jTvZhB/dsJwbOxQviscgZ5Pi694rkwP0zCp83k3fnw73tvr6eHDu/ jv0NkfEv0/rpyFn4mng1ckZWS/46fr8j3o78//WyeFYcxPMV1u+K9yLn1DWi opAxfVy8gZ2vxR2RPf2luC1y7nwv7ons1c/FLZGz7BPxceT/u0/FTZH1/aZ4 K3L2fSg+ipytT0XWqOvhA/F+5H+9b8VdkXPCtf9EpM51olDIfD8jniMO68ml Y/6zeCCyh38U90X2+rWOcSHr4D8y18Wc "]], Polygon[CompressedData[" 1:eJwt1GVvFlEQhuFZ0qC/gh8ABAuS4A4BQgmQQoBQAgQIbXBoS1ukuLu7BncI FtyCu7u7u9yTeT5c2X3z7p49Z545p2R6ZmpGITNrgRSsx100w2Aswxf0QgY2 4AFSkYVbGIeqaIKNeIzWyMYRHEYt1MYvjEcF9MM2fEIP5GMdpqK6xtyJfaiB 4ViB7+iNPtiBH7ofhu34qrkOxR5MRilUwyY8Q1vkYBHeoQu6YgFeoxPScRFX 0RBlsBkv0QFDMAdPkaYxZ+ERWqkG8/AC7fXODNxXvb2G5zEGlVEf13FbtSyL LXijueRiK95rrnm4grGoojlOUQ29dqMxDXfQVJkuwUd0V83P4IK+XVpj3UBj jXkalpgN4FIR5/SOP1sP13BW942wCsdRV5kdwgHVv6ZquxCdVeMijD2B6wgU 4Jsy9Swz8VmZepY98dOiJ7wX+uK5MvEs2ln02lpUsui5y8rQs2ug2s9ES2Xg tZmO5qrRTWVQVjXwtaxGHa3J13LUopd9TZ79XH07TVnPR0dl7tle0rc9Y++N 2Whj0SMfLPZAPrrhrTLOU40KU5+TXMupRvcs9mCW5nwMhXhmkOaYJJGZZzVQ /03SvT+z12KP+972PbYfB5WNr2cNUpLYK17DE9ht8dvHP4W/6I/yFmfDcmXl Z8RDizMgWzX2vbpSWfmeLZrEGP7uSBTj90Tdj8If9USBvuFnS4kketl7eheK JzEXn9M/jeHveo96by+16BXv8ScWez5HNX9lsadylZHX9rfFWeQ19rNgsbLw M+E/GSauEQ== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGeUVUUWhbtKl1nEAKKAKLYKTUZAQECydNsiINkWoQkCEtVxMCdUDBhR EQOIiIg5K2IERRFFRJY5zOiMcfKYw8ze63x3PX7sdereW3XqxF313gG1M4fM yGVlZbensrJtJJvpYTvhej3fJSwX9hMeFeoIewiPC7sJewoPCQ8KdYV1wsvC EmGuUE84SHhGWC3cIKwRXhRuEV4VXhGWCi8Ja4XbhKeFVcIC4TVhvbBMOFyo EFoInYVDhGbCRuENYYWwSXhTWClsFt4S7hW2CG8L9wsXC+VCB6EjY9vZCXmw cBjSezwnPCssFLqwZ3OhK9I2vS5sIF4vCM8Li9jfe7YXumF7S6Gn0EZoK/RC thOOQq99PUJozbzefLeePshDhUvwo69QSVxs49Hs112oRp+f+23ldxVzvd9o 1lexxja2Eoazpr8wCJts+2Ckbe/BXNt6DM+eN4Tvtv1YpG2fh71DhZHCkcIA YQT7+HkgdljXMObbjlHMrWRuR/J2HLY7fhcKJwunCOOw2/aOIS7WfQLS9tby 3faO5Z3XjOedbZ+MfbZ3IrbbrhOJkb/9UZjEu0uZM0GYwjrbPhXpeJ+EtO3T hRrheGEG0vbORNreWUjbOI11XjObd+PwuRbbT+ZdLXYNw9bLsOtU4TT88fc/ 8N7Pc/DDfp+OtB9nIO3HmUj7cRbSdp2NtE/nIO3TuUj7dB7SPp2PtB8XIG27 ecUcY64x/+wu7JqCf8xD5qOLUnBNObFw/l3v5g73sjnIfWlucB+Zh9zH7mv3 tHvU/ex+NSe5n81P5iH3tTnJfOa+NbeZq9wb5i1zkuve/OS+b03evL/rzJxk HnJvm5PMQ+5hc5u50PxifrszBce6rs077mH3QCeebV8X3teSY8en4ILe+NOZ +e4J90a/VOKpLvhgDjAXdOB731TioJ741p15Fcztmko97H5wb7s/il63HMj+ lfjh/ap4Hoe9s7FvAP51JV9V7FPNczfiV51KXDOI/PVk/07o6I+9A1nTCxsH k5sefG/Nuh747F4Yyt7uo9GsqcXeolenYK+fR6J7PPNsaw3rq8l9DbZax1j2 cD9NSCXeKXhoDGsq2X8UeVxIzp2f4dhacMEM7LBdk/F/BPPakadevPP3gp8s J2GT8zArlThoKntMwtaCg6anEu/MxM9prKnhu5/de665DvhpHjG3+Ny8SWiA bvPjadgyh+eCX+akEr+cnkpccH4qcc0ZqcQvZ6USj5hXzLdXE++CU85LJW7y etfghei9TrgiBXdcnoITbfOVKe4H9uWqFOer66W4E7jurk3BO+XsOY99y9Fn 3rkGmyagbz7fC048G91Xstdc7KmHvqvYt+DNc7DxGnTOx47i7rIAG3138t2t vnBrCk7bh3cL0H9jCv6pzxqPXXfP8G3vFPVnbjR/rEHXvjxbZwW5Xch833lu Zq+bWeu8TyTnrgnf9+4QGqe47y0WGqa4ey5hfBG5mcse5uEWwHPMT+tY0wh9 SxkXdzjXojl1GXstRs++rPf8VsBzinuLe8P17jvkPcIBwkjdhVvk8PGBFHe5 psRsFTFsz3vfx9yD9/LuPsbWs5nnpuTiafJhn9bi+1ri0hD9q8nLKubXx4+1 xMO8vZI9fQe+W9g/xbn5ZIqz8xHhKWEv9ltFzn2m+hytg68rWfsk6z1/Cz4f iG6foU2En4Rjc+htw3vbUpe1he4nUpzTi/HrNmL/MvlynbhuXCuuJfOF6+lZ xg1Y8yK5W8Q3v3+eta63W3j2+BOhJsfYeV2Oje9YRw57FjG/OfG3PS232rsZ sXc/OO+u/TXs43PfddyYdevwZRnfGqNnNWtvZ84S5qzHrhvRfwN67WMFcg3+ LkWn69T3n8dS3IEc44fI0WN824M8biKX9nsDvrsXXmN//6Z7ne8tFY8dcsTe a96gBlYwbkveN271biNzPN93mqLePXadt5a+HXPkdgN7NeH7Jua4Dzaz7i3G 7ov7efbYdbeFdyvQZT1v8941WaF9ts8Ry0JX0Yue5378Rqifow9mSf6Sgmf3 17hRjhptL7lzjjp9TzgoR2x7S+6Zw5aerp0ctveQ3D1HvGdL/paCj7tpXDdH zJaTa9/r7qBmnM+HyV1d5CPksQ559P3WNrl/3L9dpW+3HHnrILlLjprqJLlr Dt19Jf+e4pyZqfH7KXj0YI2b5ujpIyX/meLMGaTx9ynOk4bmthx1tJ46sc2d 9a5OjtoZLdkqR9+1ldwpR09USf47xXl1tMb/TXHmuaZGUVe+o/m+4vvIx+iy HsdpCrH6QpiWozb+KkzNUWP2+0R8nyx5eI4a+AvPHv8L3+zXJMkuOez/TJiQ ox9/JvfOu/N2ErnzPt3Zy3MPY77jOp7YOgYTicPfiK9j+w/i7pi73o+j5gdL phzn9AfC0BxnbgP7l6N/t81RZ8676zFj20D/EZPjTtE4B2e5r4/S+H8p7gQD NP49xb3B9bsfNVxP8mvqy/nch5x+JXxLv7iW+1DP/SR/pW5/pY49/pw4Oobu XcfecR6ud81znEHfkW/n+j/UwTxyeAR5/IE6c419lOIcNR/+KAzJcedy746g f8dItsvBe+bvNnC4a+146u1AyXfpC/frCfTsn4SxOc7NT9FlPf4faxj/ZXld kxxrHcvKHPF0P42jp74U/GeY+adWsmMObnffT6f3vc+h7OU89M+Riz+zphE6 eqHHtXAM9eBaOIR6cJ6ryfWHxNexdb+W07P/B286Dzo= "]], Polygon[CompressedData[" 1:eJwtk/0r3VEcx7/fi9+Ni2vXw8U8jmEzD8PYRESEliRpJEnjrxhm87TbTVpL S9LSEkvmH/GDZ2aeFvM4Ucrr0/n88Oq83qd7zvecz+fcmNaeum6HZVnZ4A/h BBc8sC1rAZ7hWfANd0MOngtTeCQ8wuMgGP8FefgLmMaj4DmeDZN4BETjHli0 zZoivBh+4DGQjxfAd/mt7IFHQpBt1jzE3Q5zNplLxlNgDA+FZQghzzMGQhr+ BL7gLkjHM+ArHg6JeBL4ZB0U4i9hBvfAETjJc7bZ8wRKyYOMvfAKfw2zeCxk 4k9hQs4Kj/FUGMfDoB3f1dpIDe/Aj7nPttmzBd/WWsseb8k7WjvpQTN5S/eW O3SQ/2itpOZt5N/aG6l5J3lP7yI1PYVy5oYY+6Ae9wcnvgQOfFVr8QnOoZK5 YcZ+uIRq8gjjB6k5fqNrf8J/qGVulHFA73bM+N42d2wib2rtpSdd5H3tvdS8 inyh35JvBJBv9SxeqCNf694foYG8rrWVN7Cia7z6zRL8kDHONj16Q17Tt+LT 3v7Vs0uPy8j/tLdSo0byhr4d6WEN+UrvLnd8Rz7Q3ssbriCfaW2lZvHkBIf5 b0iN7wHWV2Bt "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm812MWvn3PawgNmnbGTGOGFhEikbIrMi0z2dpVF7Mw0q6mUrf9pm47 7dKmW9FVJA2pSVK2MjHKFKlICzOlrM8zz/P71B/nc87v/b7rOed5zrm36r0P tXgwy8vLO1YqLy+gm6e8vNdgfI3B6tBdoftCysLuCDkLchmkF8Yey/T7Eeg+ kEtg94QeAKkFuzt0P0hN2N2g/w65GHYP6P6Qy2H3hh4IeRMyCDIC8kuMfwm9 AfI+ZDJkBuRsjH8B/QakKuwD0Jsgv4N9CPptyAWw34V+B3Ie7IPQb0F+BXs/ 9EbISJ9VABkFGQwZAtns84sgoyFDIcMgj/s7f4/x2HDIBK/n93HetxAy1vvk fhf4jImey73r4z5XQybBnuL14yFP+HzuscU23/+kxzjvSqyrG7rLNN+De0/1 HhOsC32/kzD3G+itkKe8F8+cbc11T1tzv3/Z33Mgc23PhMyzngWZb839Flhz v48gz0KehzTEuQ1CexefsN8sv5P3WOK9uMcHnrMQ8qE19yqBLIIshmyHbPO6 5zyn2Pea7H2XeR2/l3XOPgr7P77Xi5AVtjm3Lb7/AbIc9g5/Xwlpj7E7QnNL QX/i8c6wO0HKeQ3PWQppjd/NQvddB1kNeQ2SYewz6DWQvZA9/n4fxvMhFUJY I4aIJeKFmCP2iCPihvhpBfsmSKUQjogtYoy4I56IK2KT+CMOme+bnHvEDfE0 yDmRyxHijJhgjhI36zPlNnFDPDHniTNiiBggzoitYd6LOZ7LdebmWH9jbo72 msez4zijLvS+o/2twGO5vbgH8/497zPceVHseBf67jyP+cXcme3fU5xXRc4F 5gSxMtHnjfX33DfmzQz7g7mfw9BU78X7TfR3rpnlNbm8n+/1c33HHJZy2Jrt uVs9Ps3nP+W9cljKYWue96Is8ps5tti/Bzum9Cvzjvm3zH7hb+Z9M+flUu+9 xOuLPZabx3XEwL89Z4HPKPG8NqGc/hj2jSEM7MqElRUnrKdNzBAPzPlVmbid 9YF1ghha6TkdQrj6FHa7EPZ2ZsJ0ie/ZyZggdvKd78QO822D84UYeh3yz0zY Ip44f1+m+jDIPmLeDvWajfYfaxvrzQh/Y54zZ5nXxADzrUkoZozXau/Psw5n 4mXmzleZcpTz/5epfjDvjmSqWzPsz7mO4dFM3DrnhPOG+83zHKtjmXhwoWNQ 7D3IDzXMESdDf2+f/ZCJcxmHHzNxHP3M7x/bp1Uw/3PoLpDTQxy6xD7YZ18t 8X68CxsB8iBjtsb+pW/vxvhuj9HHX3htc8eQOXcq7BSKzx8d5xX23x778E7n 0Urf9wffn/5mnSJOmOMHHEPG55B9xhjudxzp+/9m4ojNjitjWsN8Sg5d7zjR zx/avwudFwcd/y2OX5F9f9QxIi6+tW+Yd+TKAsf2sHNgm31d4tgecdwZk+8y 4aw07hKuATscJ8aoTKge0De/CNUq1qnbQmsyY+4U1x76PjMW6Ev6mRio5hrX x7HiWescL2JnLezG3qeU9y3t+zDfTwv5ievKeC3jU8q45fczPGevY8zztzsX 6QPufabv2dFv6eJY/ToUT/rv3FAMWUPLQ/7h3KrgdxFr5Yx91r/q7i8r+y2v wP5ZKC6MD2toRY9XNG9wT9ZKrnk1012q+D7lXbdXOb9+E8dz4bdxPNfOD+GT 78mzHxhjcutS5/45obyg76s5duzpyBmsGazZrOV8BzHSwjhhzWZd72Z9kWs8 517ovGV9r+0aX9v1vr9znfWMtayH53X3GPtC9pPcr5bXsg9gf8C5dUL9AXmZ fTc5upfvWtdrLw3NH+DvV3g+xy71HTjGb+zbuZ578pybQ/0JfX5tqP8jlnmv q7w/eZU+mp4Ju/VCb2oEfY3nUNe3/ftQnBfYt/W9lntfB3km0zx+4zt4HnsC 1t1vfA+OkfeuN/fVs6/GeP8G3qeS77/WezT0OPF9Q4hP+dY69s+toTfzvVx3 i9eyVjY21nivJs6J221Ptx/4e6vP4j34xqa2n/Hdmvr95EzW0ZedS8zDFzLl VHPbzJ2aziVyL+v0S85ZziE/c4zfVnhOyzjO0dyfvNTSc17y2J3O/7ts8w5c 09773BPimrX2Qyv7pJLHiWv6jr1EDkOtfWfmRSPHurLX5tZx391+O8/e5T3a eC17h3Yn3LO970bdwTbf29ZzyMesAeTknC/Yw+z0XsuN5XtDnENNLiNv1MTf xRck4Zz8wR6FHNUSY1NCNaQL7MWhmvZX2Iucb81gTwrVqGPQ3zqXmmL8tiQ8 3Qp9c1Ju3QR9XRLeroaum4Tpa6HrJ/HBBOg1IQxNgr0+lO/dYD8bqjN/gr0w VIueZEyT/P0035WEH/JhZ7/pVcihENcv5R1DvrkEc2sl1dVO0HNCdbI17Omh etgO9sxQDbwP9ryQr6/gO5Jy8wnoN0PcPQ32B6Ga05s5n8Qna2G3SKrHBdA/ Ou5DYOcl5cOs0Hk8awB0/yTMzQjdifd5EPqhJMyvY94m1ezikF/ok/mhu/Ke c/02vms17JOSeiP+L6RMUm8xEHp5CPMZ7LGhPug02OND/dQRxiHUm8zg3qE6 /RVxHKqhHZ1jzLVCSL8kvFAfMHY6OS6sZUtCufX/Xon4TsLKc6F4M9ase/nG Gusg62IFY4njrI/jMff+UC+4MuRT+nMm9Muh2v4w9P5QLfuI54b6p0egayT/ jQq9KdS38X37/MbPIYPNA90x551Qr3N6kk/pz53Qn4R6iq6Q2kn1rk1SnBij ozzfud0DumFS3ekO+6qkutYLduOk2tQT9o1JnNwe+vVQH3Y/7A2hnu+OpNxi Xu2FHmR+6IzxN0I9Xzfoy5P488/QG0OcMRT2pyHe/gx6QIh/djEWIa7uhTnf GU8DIT2TeoztsIeFepZl5IYQd26DHhr638xWyNeh/ulRrPs+FMN8x5GxY+6v CMXrBd4/qd70TcoJ5sNbofvxbsTue8Yvz3zf537JnIL8HPJiCGPEV5FzlPl5 ELok1Ps8H/pNm3nxgHOD/uhjn2wJ+ZT+3A39WIhv3w39pj0KekeoT9wD2Rzq q/qFeIGcQGGdZr99F8ZaJdX7ytBVknq1itAVkv7/dwb0mUk9ZTno8km95uQQ 55JvmyTlCvOkLOyzkv4XOBK6dxK+GLcRSbG7JynefBfzt2tSDvO+PZLuPMLr uXY0eSjUC4wiPpLidS7PSeopR/obxxnbwqT4Tg3VD9YO1oHbXQvOgT476f+X rDnVXXcOM39DfyuMC3EQ+edk6FOS+tG/QT+c1K+wzrwdqjWnYqx00v9WyVul vPaaJFwRU8Qc6wpxd0sSrogp1qIbXI/O45uS+uPrk/BJbFal75P+F3s+ddL/ YqslcQpzZkKIK8mTrHWNkuoda9Fw16MEHUn/630lxFnkK9afi5NqEDnpwiRe Ym2sl1Qfh4Q4l1w0jvyc9LcU+aBtEicUhGoP6w75kTzLOK4K8SA58MokLiAP sN42SKq5Y5I4jvw2McT15HnyxANJXHFREleSJ4clcQT5gXgtMmbJnX9J4s++ ofrN2n039LRQ/0veyk/irsuSuJI8Sa7qkMRXrKt1kmrrTwuBRi8= "]], Polygon[CompressedData[" 1:eJwtlnuQ11MYxn/OOaViKyVJ9xtJQ0izuW0SrUhjicWsbDOMlN0M45KttiK6 SURSiXLPJffcM4MRIaVCiUqTS6FSSsjnmef88fQ+z3nPt+/3vOd539+2H1Jd VhUKhcIUkMAA/jkPjGOxZywUJsBngHPhAawB49FnE/uD0+GngTHs745+B9wD GoCfWRtB3AgOAivQ04h3gAjqK/LstcRfybUk3pe8Rzm98yNwqd5BLI3eeyC6 VX7meeIkrYH16JPI9QTd0KPR9xMPRm+FLwO94MXJuWPJnQPvD3pEn7kevC74 NPgd0+B3E+tpLzgZfUryszrz0fAu4DZ4l3z2O0HKNVgL1oEd5JeCrfpu8HHw nt/1THIt32ftLuIosAdeh9iX3FngBPhY1l7Xd2ot+g5K4L2Ta19L/kx4n2Su Zz4AD4Fe4E/W6pMbBt8Gb018BfwECmATa7cT57KnXHeJPgx+nb4T3p44FOwG TaPPfAj54fDf4G3zXdSCf4PvpCX5KuIf6I7Eduhq4nZ0Z+JE1RHsQ9clPggu YM9O9FfgLfS72UtFxK7kjkmudU1wLbeBhrmmm1RH0Ch7rpS9/ZJrpzvuAT8R jAr2SHf48aBr9Nr58IHJ3h+PnkO8GL0Lvgp8E/1NRdnDy8BCeSyfYQJxHvsv I36IPk5eSf5WveNC+Gz5CBSDmegFxK/JD5Bn0VOzF1oQ9+veWetL3MzaSHkN NEe/h36ReBN6P3wDqNHZkp9dgr4FfitopjoGe2cxvF+0h+ajvyAuJldBvBc9 PfnbtWcneDV7ozFxl3wEmmQPjANz2D9IdQn2ms5YnD13BPxwvYNcB3Q3+Ezi yuCeuFy1AvPgp7K+QbWIfpd67gVwA/n/yP8AapN7Ur2omnROnjGaLUdFe/FQ 1tplT14P/xv+vXqDuBQ8BnrnHtNdvQ3fEnxnFyXPnNJ8R8+CYaz9Q35dcG+8 ke+iPJ/9NeKPwTWYhX6GuBY9kDgb/TJxI7pM70avyr1VSaxWfyXPrj7ZS1XJ XJ6aBJ8IFpI/A70AviLXerC8BipY241eDR5FX4n+C74muBdHJJ9dPTkE/nj0 /1UCngLXqEbkvgVPoK9C75XXg+96uu4x33kzck3B58E1Hp3PrLPqGzvAj0y+ iy/Ry7PHKvIdNIQ3SZ4Vn6GHwp+OfrdqPBk9OXtbnp2KnpK9LM/vAXujZ5k8 dAD5lPzb8Unw7G6QPNs0w/WtzZNnl775ZvhL0b2imbcy13RwvqPV+Y4q853e CF8U7T31mGqxBPwSXJPt6pno2a6ZI6+3Sp518nxrvTt51i0Pnr2N0G2iZ/Bw +HPR3pLHy9CzomefZo5mZUfVNHpmalZ8F/3boJnRKbnmqrX2PAzKk3tJv5lj swfLco9rlrdI7kXNdHl1ffTslWdromeSZpF6Ur0iz5TkntEsb4PuFD3Tr4Y/ Ge0Veahx8h3rbnXGIvgD0b+9mumV6PnR3pTHLkHPjZ6t8nAd9Ix8l/rNbptc Q9VO77wC/ki01+XxN6P/Rgm5h/8HMvYazw== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncl1Maxt/qPedJi9a3oj2SociSneyRLamIosLYs2VfxlhmMBjExFhn se9bKIWS0q4SaZEtiUop7ZnrO/f1+/z643rv85z9Oee+r+t+fm/bQRf3HFy9 oqLiKf2pIbs6VVRMFjoJDwpPV1ZUvCT8W+VzhAOEp4RzhQOF/XhW+4vClbmi YlBRUXGZ6oYJz6juZeEulf8m/FF4RHhOda8KD6v8rOwrwjMqnyccJKwVnhBe UP1zsucLXYUP9fy28A570vOFwiHCK8JFwqHC3cKbah8lvKDyBcLBwmvC4cJh wujK6POWMMbzvSu877rhwkfCCGGk8IHrWPsxjX9e9jVhrMfRb6PqNwhHCJ94 LsZNFz4Wxguf2k4wRrvfeO+X54kex7tOE8Z5/GTvlTUnuZ3nGZ6LNWfaMsc8 r0f7fFvaZ3uuKcIcYarX+UqYJXxmTHK/arrTCmGN2ye67UuP4/0WeG7a57qO tdeneC/23y3FWl8IC70Ge9mUou4boVB5vewG4Tvvj3W+t2XupcLX7v+t56Pf Irfz3j/Y8t5L/G6s2T3F2J+FxW5n78u2mG+5Lev/Ysv66zyO9Vd6Pdb51Zb5 Vgs/es0VHrfIdQu8j1XuS90mr0Hf9Z57md9/mffC2bPuWqF6jvs4Vu9xZArf 4Ew3ui9z/a76zcLRQrUU67Gve1PcYQ3ZWinW3sz8Kd6BfpXuw1opheW9a6bY E+tslcIyPqdoZ++1U8z3u1AnhWXuuikse2mSYi7mqC9UT7GfBras3yjF2sx9 nPvU89wrfPYN3Td5nZW+h6aem/drZsu+qlL4Fms39tw8EwPEE7G+jfuy921t 2Xsb7481O3he+u5oS9/Wfh/6tfJ+eW7rcbzTDin2x/jtvA/21c7tPA8RThSa C1cIPYUWwg3CqcL2wo3CaUJ74Wqht9e/VjjZa15knoOXrpLt5X219x2wjyuF k4SWwnXCKd7Ln4R+3u/1Ql/vF66FX+G7a2T7+GzuScG571XG/qq8xhnC6T6n LJ/tKNtZmCRMTGV9QTfQj5rqUwgDVbeHsIuwq7CnLWP3cRt1M4UZQhdhmjBV 2I071xzjZYem0CC0Cw1Dd9AZ9AadQU/gdLRmf+H1ytAj9ArdqtQ8NYQBKbQI vof3b1K5v30BLUDH0DO0ET1EV9ArNAe9QH/QKDQGzUTf0Bi0EC19w7yyznHH eHRg1BbcBwcxF5yPNqAZ8PwEP0/08/At2t+yZS7WHuPxoz0OzRlh3y/p2Ngt +k3yvDxP9jOAt2e5braf4Xc4f5rnRmvg/xP0flvbh8e5farfbbzHseYUz1fS MMYflUIzPvc+Zrltms9lTmVZU6f7mXOCu9Hh9V6TtrkewxxwMFxc0gn4GR1Y 7OeZbi9p5nz35T0Xevxcj+NuvvCa6Ae8i5597Tl+9LyMWeLnkmasdNsqPzMe zl9aWdYeOL2lz7Ce511qf5nqd2b9Y1Jo20/e0wqPZ73VXmOR11zhM5vn9yhp HmvvrTl2d4yxDryOX55mDiK+mRfu3+i5NvuZfvAqnLzc7Ru85u/ux3uiBTyj M3A4vF/SG57ZK1pBP9aHp5n3vhQahh4wL1xeeAwcC/eyDzgfDWA9+LxWKmtS 7VTWpDqeq77PtqZ5q8rv0MjzsnZjP5e0ijElLSzto8r9qGvqud5Pwa19U1lX 0IweKWKjucfAr+28P9qb+c5bOnbYXys/syc4vo331M7P7Km1+1X5rrbzPtr7 mX3t4Of3UuhHn1TWMzjtbfgphQ69m0KHTvKeOnj88Sm0mT2+k0K3eqay7rLO qBQ6gSaNTqFPaMzIFJqEbo1IoUPoE98RZ6bQgg9SaA+aNzaFJsG5H6XgX3QF bobj0ZVBKXQDzUBD0Bs0A53p7D604df4d0lXeJ7qcme3EQN7uW0fP89wmX5n ea/o1tY5OBzOBvA/vAvgefgYoDXwN0AX4OPbZC9OwXFwL9oKHwO0e6Tt4S4P TvFtAacxjvwPDmicYw54oIH9Aj+4JEUOCGds77P8vz/k4Ao4pIHK9YU39PxX 4dIt7hWL393i+6bu9hTfdiXfxeKft6bwaeqGC5fbf1rYL6hvaT+irpXvvKX3 2tt17L2P69rad6hrZ99p63fo67oPU/BSKR/C8q74aD/XdbDvULejfYe62tZ2 fOMvPq/u9pOB9hHygrNT5AbkLVNS5Bjc87mpfM/n+a67+U65F/ziHPsG939+ Kt//BfYB7nCw7/Rz1vF48oUL7RfdvTfu8TjfUXWf/WW+l4XCVyni6kthTirH 5BCfP2d/hc//RN8R9fgd+SJ+N092rvt9J3ybIoZ7e27u6Bv2koI7uMMrfY8L hPl+vjlFfkNu08d9udN6OWKGfHGx8EMq8+N1vtNfhOUpYp47v9b3vkT4MZV5 4Xr7wjJhaYq8uJ8t9/6z8JP9o7/nwwdWCitSmUdusj/8WbhD2MnneovPlnO6 1Wd1jH2FO/nVY+h/ss8JXyVvIbbxhUXC934HOOrOFL7F+dzlMyJubvd9EmfE Ifdc+g5EAxv6zMib8J0X7SP4AZqILt2fQiOpI98lt4ZLt3J8048yfX6rDD+6 3/0/Fh4Q/pAif37A74Ud6vp/pJjzJc/NMxxIrjwslXPsR1Pk2dQ95P7k3OTW z9j+M0WeTfswlzt6rU5uf9jz8BsQ+Te5NyDnJt9+PEWZvJw1WbuUi1NmTfzt HvshfR93n7+nqOebBfsf9yFe/5sivolD4vFI39O/UsQ0cf90Ksf9synim3h9 OZXj6dUU/E3cP58i7t9McRec/70urzEP08Z3PTqEbsEzfEONS+GnnM14n88q YYLvCK2Gc4npJ1OcFXw1wf13ct2TPivmnuT5J7vcyaCto8d94jp4Cl+Di67W Ps8sIiYYP9X7ba+6fjn8iJyH2CaeiVFilvjeSX3OyrEmmk6cE5MdVD8gx347 q3yeyrM8Hn6AAy5V3bocXEl8E+9w/ZgU8X+j54I34AB0gfi/wYAH4AzyiiXe F+9xTY53gQPghP6es8Ql+H8t5xnoRR1rBvlFbX/T1nF55xSaQRtnQh5S17lI J611jux0ny1zci8D3Y9x5DYrvZdbVHdzDp4gXonbe923pteq6+/lne1H9MGv yLXgHTjnYdVtm0PDBmgPF+bIX+qqXKeI/K62bK0i8rgGsvWLyNGqZBsXkce1 lW1TxL3Vk926iNytqWyTItZsJNuwiLyyldYZnSN+T1Hd7jm4bV2K721i+iTV 9SqCL1vg/zm4oqXsuzk4obns7Tl4pqX6tijibpvLblvEfW4j26wIv3tMfSuL OLPWsq2KuM/tZNsVccZ72m/53eAV9W+WI++sofbdfIZJ5VxEbFWTPdm/uVWo XL2IWN1KtmYR+XIb/DdHfNW1P3DvzLFnjnl6y27OkZP1kr3M5T3oI3yRIqfl dwf4dqifKfNdye96fAujpegvmsw9of1XGeQAaDL6Qz4Bh30mzBb2TXFn6DQa PdNt1KNdaD1ajfaTA5A7kG/yLU1+gq/Mczu+Qp4xxCDfgH/QRt7jEq9BPkDe sSZFTHPmxAC/15T4Y5rrn7BvwF3kWb+5DzzE/yTgIvQZ7iN2PvW8jG2UY5/w Of76nd8JXyRf4czI32f4fdfaF/f3OtO9FnNs9DzTvEYX732myzNc3neLZ3yq j/bQp4gcgVyN3wH4pud3CPR7lHNC8h+0pipH7k4/ftNt6t/ZQRP/5kueQZnv +trmk53tD1Ue29S/CdNngH2mo9s322eO9hj21dTzl37Tx/L9Xd/zUIet7jmb eG+U4cNfff53+13e9HdQPb8XXFTf82AbOHaImQbORTgP7qykv/Wc31Tz98ix vgv6cH7kUpwV70JdQ9fzv6arcuRrd3te5hyo+ity5DiMq/LYTX7mW2mc74bf oPrm4Ck4Ct4kZyOnuygHb8KZA1XesQh/7K/ytdaC92VH5shZPpL9IEc+Amdc 7nf5RHZcjvzjeNkHc/w/7GKs+Xmx7A85/md1Bnyfw9+Ze5Tnhz96mTeGyt6X I6fcj/2bu46WPaEI3uiu8iD7zLmyuxTh08fCrzm+Y4+THZYjFvaX7VJEPL/G XeXI89CNV60dZzNfETH6dg7uhrdHyA7PkdO9lWM8Y/uq7x458txHZR/JkX8N zrE2634vuyhHnvR6Dt6H87+V/SbH/wAXyM7P8X9CzniMz/m9HJqBXnyYQ3vQ nY9lW+fI99CZTjm0hnsY77uYKDs5R240Gx/Jkf/NlJ2R43+ek3LwO9x+guys HPniXNl5OXLB6bKf5sgR18v2zJE3zsHXcvy/9NYcmsce1nBXOf4n2UP2khxc u1T25xz/21wo+3WO/HIJ8Zcj7z9Rdq37c28P+Qy5z2N8p7T3cJ9Vsqtz5KNt Zafk4Njlsr/kyFlXyq7I8X/UqTnOhTPhPt/xnd6ZYzxj78gRG/gDmrmffe/U HPfNXfeT7S8k1XUW9s3BIaepbq8c307cz1jf0S6y++SI0+ty9KMPc5yeY569 c/g0/tyjiLyTnJM4uN+x0CVHDOD/t+XgZTj5fNnditA8eHpX15+ZI56J5UNl Dysi79yQI+8k5zyQ/RehZwewjyI0sqvKBxahxwer3LUIHT2IOylCjw9R+ZAi OOUw7qSInPgI9llELjskB2fBV0epvH0ReX83YqSI3PRI9ltEjrtR5U05vk8O l+1WRI77PzqnLyQ= "]], Polygon[CompressedData[" 1:eJwtlnW0V0UUhX/imxlU7ASTUEFSaelGxQc8RCSkG30g2IWAHVjIQkUlFBFR 6ZKQEHABAoISCtKthMTCWPpt9/tjr7v3nblzZ87M7HMKd+6bk5svk8nMAFmg R8xkSqVMZnXIZNaAYegioDv8FfAU/Ebal8OPg5PokqA+fDJoD38SDIIHns3p +0Se/gN0hnfgXQF9h+7HswX6b3gDcA86g56msZnQZvRW8Cm6JtgP/w18Aa+j MeGnov9dD+yC7wOfw2uDrvASjLcCvhL8it4JPoPXAs/DW4Ns+BDwOLwN/bN4 dkS/z/M9MBT+OugPb0n7v/DbwO/oY+AreF3QEX4D7cuCY/SCxgPN4M+Cp+Ht ac/PsxN6NM9z0bPhLUBR9BAwGD6V9bfTWsEw9FKwQ/EHvYPX8AO8GOgBHwM2 wq8HPeGfgInwooy/RHsD9qKLgz7BMTqk+ID7gmPaC16W/uvg68E76L6gW97+ j4VfSPvX8JZgFPoc9Cx4DjiKvgncHxyTUvCR0bGby3rGwM+n/xz0XeBj9MXo ufC7NWf0peh58FZgi+IJegWfgQnwa2lfBG8HBup/yXt7AqxGr4uORXUwAN6K 9nw8m6Cf4Vk6+Wyf1JrQL4MpWV5jou1R9AD4DO05/GHQH/4iKAjPoc9pxY9v xqEvR8/X2dUc0QXRC+Ct1QddGL0Yfq/2DH01eiG8LRiPvhL9DbwNGIp+EDyg swM+hH8A3oS/BarCnwN3wA/y/4/gZ/H9THRz8Ej0mdZZ/n/O8JdAV50F+peF v6Y+wWM8Fn1GdTa15lui56B/606Uj46B1q4zPBg+HLwafEa7w99WDHW3QWm1 aY7wxqBQtIfo7Ci+I+Dv5p2naiCLuZ+ZfNe1xoei16y1KgZTtTfRcx+uOeuu gS7wW0Gj5BgqdgflIcl7oNjvB7ejG8gzdFd1Z5P3QLHXu2x0I/RR+LFg7+qg mAV7ViHaG4IDwXt0FbwxOBS8h7PoO1N3lPmNCG6rHz0X9ZkGnx49d/WpolhH x2YD+h/4n6AheorWl3zGdbYPa8+jPUNeoRjnwP8CucHfLId/p5jBJzPeIvhC xQg+knfz4QvkYcHvVsJXRPcdpTnAfwQ1dBeDveSnaC5PWR/tSfKisei10XdM d2s0WAxfEv2vSfRZBf8+emzdKXln0+hv5aHKJWuiv1VOWQZfGv2t1vBLtOfL 68eBefC54Mssr0FesA2MD/aE7dGeLi/XO3njbjAh2CNnw+dE743G2BOdI5Qb 1EdnOTvvfOpMH4zOMcotE4O97LjmF+xp8srDmk+wZ8pLD0T3laceic4JygXq Iy/+OXot8uQT0TlLuUpjDoKXS/baU6CJzlv03h8JPnv1os+yzmAF5R50P/hG UDHZA3T3N4Eq6Or6p2IZfNfLJ/fVna8ErxbddzM4O/mduDw8H/yMZK9UDq4O r6kYw7eBtjq74Ft4B/mFcnf02d0A8qMDmB7sSRWiPVVeqneVk3OGcoXmWDU5 Byr3bdGdRteI5lvBecnvxJUzVJv0pH1tcI0yCd4k2gvkcYpNy+jcrBidVmyi awvdmQuS16S1KIepNuhG+6rgGqFYcs5UrtQaCyTHVLFUjlZu76Q7F5zj5XWK gdYuz1Pu7K07FZxDb0b30Z0KfndNsifJi5TDlEtyo71QOaVM8pnQWdAaL0HX BruCc+Jl8LpgT3DOqZOcM5Urd4NayTlVuXRn8Le1o7nGqImuhd4O3wFqJOd0 5XK9u0L+BfYF5zD9q0702PpnveScp1y3F1yUPKbGUg7Xt3Wj2zTGdclnWmdZ OfDO5JyoXCjPrZZcE6gW0BlTraOaUbWiap43omtO1Zry5Ka0NUuuhUqAksk5 Xblce1g8uSZQLaA9Um2pGkS1h2pM1W5lor1XNZxq0S7RtZ5qUtV+FaPHVg2o 2qFcdK5VDVFJ3pxc2yo/qJarHF3LqqYrkpxTlEtUc8lbN0XXYvLY/wDWZZGM "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0kk7V2EYwOEjY4aFhYWFhYVFuxa+RFsfwQfgcygyJ1QUFWWozGUMSWk0 JFMlZCiVMia6/5cW9/V7zuY553rfk5qZnZEVFgRBMWcJzZGcJoFEkkgmhVTS OEM6ufzhkFGiLMjTaP2rRzwjxvPF0F49Dk5e9DwUzddT+kRjtVMjtF7D9Y6O hb7LfFcHGWKYPh7zkAF66aeAR3TxlDpGuE0PHRxwiz1usk87u9SyTQ07tPGb G2xxnV+08pNqvlPFD1rY5Bpfuco3HrDBFdaoZJ37rFLBCuV84R7LXOYzZSzR zCKX+Egpn2jiAyXM/7/XBRrppogGCol3nnFcMM8yxzQzvOc8k0zxlgnGyeE1 b3jBK17yjnPByX/0D/PYX4I= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{270, 269, 273, 545, 536, 537, 535, 539, 538, 471, 541, 542, 540, 544, 543, 472, 547, 548, 546, 550, 549, 473, 516, 595, 505, 534, 491, 532, 490, 533, 470, 272, 271, 270}], Line[CompressedData[" 1:eJwl0llTz1EAx+HfP4NE+ytouohK0r5IWkV7aC/KEtJilEqbcukVeF9dqRAJ M6RUMpI8jYtnPud8b89J6B1qGgwFQfCKBYdEvvKFsrAgiKeUEgb5bB/QOC5R zCM+2fs1losU8ZA1+wON4QKF3OejvU+jKSCfe6za72oUeeRyhw/22xpJDtn0 8t7eo6fIIpNbrNhv6kkyOE837+xdGkE65+jkrb1DT5DGWdp5Y2/TcFJJoZVl e4seJ5kzNLNkv6HHOE0S11m0h+meDutvPaqvdUi/6RHd18f6Ryt0Xcv1u1bq X63SDb2sm3pFD7Raf+hV3dIaDahj271Wd7ReQzTy071Bd7VJf+lLRhjlKWOM M8EzJplimhlmec4c87zgyeF7ce3wH5EZ+v+//gGj8kXo "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{866, 626, 746, 872, 1173, 960, 913, 1012, 1013, 1014, 873, 1006, 881, 1064, 1065, 1063, 1067, 1066, 883, 1070, 1071, 1069, 1073, 1072, 884, 1075, 1076, 1074, 1078, 1077, 885, 1080, 1081, 1079, 1083, 1082, 886, 1085, 1086, 1084, 1088, 1087, 887, 1090, 1091, 1089, 1093, 1092, 888, 1095, 1096, 1094, 1098, 1097, 889, 1100, 1101, 1099, 1103, 1102, 890, 643, 634, 633, 632, 631, 630, 629, 628, 627, 866}], Line[{899, 702, 706, 710, 712, 782, 959, 1005, 1003, 1004, 986, 1184, 903, 912, 957, 1185, 958, 955, 985, 1182, 901, 911, 1171, 1172, 1158, 954, 1024, 1159, 956, 1183, 902, 1002, 1169, 1170, 1156, 952, 1154, 951, 1155, 983, 1168, 1007, 1151, 909, 1150, 1022, 1149, 1148, 1166, 908, 1165, 1021, 1147, 1146, 1164, 907, 1163, 1020, 1145, 1144, 899}], Line[CompressedData[" 1:eJwl09lTjQEYwOGvOmRL2QlpwZU/hpJ9DaVOu+3CbjSjLpixpFUke8k+41L2 yBpjRva1O8sFcsHzTRe/ed73nW/ONnPSckoyi2OCIOjS/rggGBAJgg4O4wEO ZTUTeJ2zWMOZrGUmb3IOG5jNRs7lbS5mExfxMJfwDpfxCJeymcvZyVU8zpU8 wVze42qeZB5PMZ9djLKVBWxjIR9wDdtZznNcy8dcz/NcxwvcwG5+1SV902X9 1Au9027t8dw2bdc/ewWvspE72atnarE/51tdUYN9B7/oiY7an/KNLqo+fE1+ 1kM12x/xr/pUZi8N39tcpbMqspeoWGfs91Vn3spKvdZp1bpt4afwbq7SCh2z 57CFd1Vj3sxdehV+Rh1028SP4d28QAs1T4fc5vMWZ7OeWazjDVWbN/KPfutX +Hqa4V7OHr3UD+3Vd13TB71XqaZ5drrSNVUZ4Xd2T2WaJmuKUsLfwX0iJ2m8 kjVBRe5jOU6jNEajVeg+giM1XElKVNR9MIdooAYpXgXucYwoRvvssZH+/8t/ mj5ujw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1EN0HWEAhuFJm9puU6a27TZJbWNRbWt3W7ub2vapbdu2bVvPnC6evP83 9+acO0km0V17tegZEQRBYV+WRgbBErolCILMCYNgLQ1ZQyPW0Z3OiYKgh45h NFnZwEbWs5lNZGMr29jCDraTnV3sZid72UMO9nOAfRziIDk5wlEOc5xj5OIk pzjBGU4TzVjG0YspNGEqQxlGHi7RlJnMYjZFaen+emszvtGc7/ThJy34wW9+ Udr7x2sxWjm31OFUpDitXesbvsafcPOXsq6XYYJzCdo4t9ERVKIkbV3rF5YI 53gEtLMrU4r4diRznOcygC52f50Yfj7a2e11JIPoag/USZShvd1BRzGEbvZg TaRlNaEmIDFJmOdaOa2i5TUpyZhvV9Cq4f1rclKwILwnrRZ+bk1JKhbaVbS6 VtXUpGGRXU1raHVNSzoW2zW0ptbU9GRgiV1La2ltzUgmltoxWltjNTNZWGbH aYzW0Siystyuq7FaT7ORnRV2fY3TBpqDnKy0G2odbaS5iGaV3Vjrhn97mps8 rLbzaj3tSCfPWkGiSEEEnz2DL7jHFU5ziJ3Eer2I7/vCVz7ymU8U5j0feMM7 3lKIV7zmOS95QUGe8oxHPOExBXjAQ+5yn3vk5zZ3uMEtbpKPa1znMle5Et4n F7jIWc5zjtxMJooZTGda+POiZ/h8hb8jXeV+V7KC5SyL/P8/6h9YT5Ol "]], Line[{1378, 1326, 1330, 1334, 1335, 1336, 1337, 1494, 1643, 1841, 1642, 1839, 1641, 1840, 1665, 1838, 1640, 1836, 1639, 1837, 1664, 1835, 1637, 1833, 1636, 1834, 1663, 1832, 1633, 1830, 1632, 1831, 1661, 1680, 1631, 1660, 1630, 1885, 1884, 1590, 1883, 1659, 1873, 1709, 1628, 1829, 1872, 1871, 1609, 1589, 1882, 1658, 1629, 1635, 1887, 1634, 1610, 1591, 1886, 1662, 1682, 1681, 1683, 1638, 1378}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Xk0ldsbB3CzK6IIlUoJGaJQ6RLfMiYpoWQoUkq5horcVJQiUYo0kOqS UEklQxJFxzw7hmQ6DsfhnPc9LyoiN79zf3utvfb6/PHs/exhPXuVV4CDt5CA gEAVv/83Gqyimd2c4aE8PE7D/eYktnuVC4rPo/Ar2FBaZNMkLim4ejtoU5iK WObTEfwDVlTmKNeGQqlR4Zwh7TsCVspWDntTsDIaMwlX/o55D04H7Q2n4L8r 2sUs6htO/Wr9bHOXwvRT4TrbqQksl6ed/ppFIXg27M+yML5LG+Uiiyjk+sat EZo/ATGJMyf2VlN4191mEpo6jqDQlPF97RQa715cl2E8Dqnx8p5EBoW3NlGu C7vHYJjss2Iph8KfLRYfHMPHUPRVAv0UhaokVZ24rWMwdrSl13+nEC8cGjwh PAahCesnwz8pzGhyZqsS+HmqTx5fP0vhrrr6pVurKDiKMdtf/qZw53a88vw8 HmwcxURE5iiovz1aYJLGw3C7Rq4T30+iZwajbvEw8OX80GO+/ZVvBo+E8aAn ve4xi+8Xjvp/evnxsEw+0Jbg+7ekDZHmy8MFRsnoBN+7D9B6Bo/zoByxJHSa b07OvXlqPjy849SWzvI9QWt/bXmMB4H/tzEc/X/jgaZz8KEg35/lZBdf9ebh 6fS/m4X5Zh6U6co8wkMM89NfYnx7+j87O+rFw5bcmCSJ/6x53ln7EA9l424f pfhuFD53ys+Dhwm/xPdafD90CEiW2cWPrxOas+RbpIQ8WbOFh59m7+MO8p24 QLYmWZuHBJMm3yC+y332BF5eysOOya7VZXy75lQKx+eQcNC96/cP3+wRuu06 KxK/HvX5LOLb2rgsUn+AQP73swdN+ed7QaCccTKcQMaDuczIXxScF6bYVq0k MEf3OMb9QYFrY27rfI8LbTHZ0XgehWNKs67rF3GxLyVqOIpFIVz+jQlxlwOl p5kDnV8pjJ94o6arzMGK1d5rEhopHGc+j0nNHsV9R5WW8k8UyspszaZNR1G/ taV00QsKm2qKuUI5I4B3UEYm/x1cWRfbt0eNb8aV6ZQQCharC93s0tm4HBD+ t7wrhS21CeRfWmyQNKcNekYU5nubmm4qHEZJ0t6bMospvGl7CuMdw2CNBZs0 fePh6Ca95MWDLAyxF8gEFPPvYdhS+NY+Fi45sWI1wnkwUtPZVtw2hCPVW7sc wEO2WtudMvch7NJ59mPbLInBJJ29Q+QgrHoiXlsVkOgBqy306iDOzESl5fiR UO+wVKI0BuG+OHMNTYXE2tNuasUtTLzLLgvdU0bgu5ChmK8fEyGS7s6qBwi0 dwhmGsoxcSns9cIPk1z035go9CofQNNfibU347i4WuukbB46gHcpatek1bhQ k/Mv2WY0gKW7Ph98/J6D9lfFlR2CAyhKS0xM3c2BuaDe7avNDLBUtF/k0kZx 22EqNiyZ76H8G3JGo1D0q7rc4s9ArV2dxYHXI7hprDevZCcD7KtGxgoafNNi e28ZMKD2y8zzbSobLyvFK7JVGOCe8HdMWs6GJHvNxIUlDFgk2iUuTxlGmOnT hvOKDPQKHbII/M6CqjgnbYkyAzG68VePObBwwfOc+xk9BopcRIe8C4ZAc6nk xNsxkLhWWejVyiG8OpWvHnqKgRZVAbpv/CC2+5clbH/MQInn/aM5fwzi54Ed U8p0Btq3PvMLjmLin6F/S7XmD2CjAJGxsW8AC7yqE055D2C3Vt66im0DcLmg 2N5fMQDpOH357NcM/n7m+iLXMnE8YrGXixYD8StE9RLuMaFZHufm7N6PGnst nr3oIOj3n20bO9MHqeVXR/SCBvGRI2S48kkvzqbMnW5gDuKWgotzbH8P6qU+ Oo3sHoKK2b3KHX/04JCD8tbgpiEMtX7w3WvRjcAp8SCmDQtinnI+D+O/YiLj gfqyUhaSb5tJmvK6sNBzzPC49jA8/spaE7a/CzTBkxsOxQ8jYPOd3c2NX+B6 2XstgxpGyHTQ7ZbdX3Dx0rm0aSs2ClYrbbb+2gnJr+EZ3LtsnO+XrFPy60Rv UyNblsGG1vzPfW7inSj1ELBkqIxAjBR/pp/VgWjPV4rNHiPYlH0Ze6068CX3 u19qyghMIuw9ijjtSB9nL0yjj4DhlhORldiO4UeBEsGio8iX2rMryrwdWUuy 43P1R1FUP/qpfrIN+9I7J1luoxi/y+z+I6cNG3XNsq5fGoWTdUlJp08bUkkT PYX0UWyf3FEur9mGZQqR27+WjyLNQ1tVkaDDaqqs3KN/FFYXw6pS39Cxku5t zZkehe7cj5qIs3TIpy9JzZPlQDLfzu+GOR3t24dLxzU5mFumr5MsQ8fSCtXn DeBgWd+5mcjeVkixd57wd+Ig+KwP886rVnCahVLmjnJQ5iH1cNXlVvT3RSQ8 /5sD13fLTsrtb8WAgdC1K9c4+GytkOGs24rEv71E/0niQMx3tXmPaCveWBv9 Of8Zfz7R6M5bfS1wWSC972shBwZsUbZcXgvsz0kMv6zioNjbc4YT0wI/luu8 rg4OzG6Enxc53AKNSdHfPiwOMgZyzey3tKCQKeN+/BsH0Sb/eH1UaMHxN3s9 hgS44C44LW0x0YxvS2sVB+dz8dqLenS6pBmhs7pTMSu5EKkxq22KacbOxa3V FvpcrNAxbt7g2owi49kRVXMulMPtrCO0m9F22nl8iyMX8X2Brhv/bcIG0dit KV5c5HQwFSszmnCzqOKA/Uku7r3Udol0bILa3Q07vMO50DSVeGkp3ISwHJ9P rOtchE91ru/Nb0TXM/JIdxIXRqUeTyUPNMJ2+WRHRhYXMhdnDFvEG2GhRQ+r LODCpzb71WR+A0Q68mysaFwsvalyyOZYA8ieU9PrW7iYWmWQn6zUAJ31V3bc 6uXC3rX71KHGelQOr6tW4XCR6LWRs+ZKPWyrMvq1+XWvQfbR7fIt9SAT19rl CRL4IiVnIfGzDgtM6OI0KQILV8x2duTX4b7ey/1eivy6ua41NuJAHeYXW94O VyPQMDFHhkvU4U73r7RefQJKea19l4pqsUTvmm4sCLD6d/5t5leL3wkG++/Y Ehgb3bchQrUWmweLCHFnAtR48JP79Bp0lZ8rLDzMX08zN4IeVQM3Ia5BQQAB deUQBbZJDcJj9WQXniOQviKRHfezGsoDydFtkQQq/VF7vaAaIguHn0jeIuDR qK+RFVKN0F+LfD8lEVA81k+P96iGuJiq5ZmHBHRmdhwhrauxrcTs4ZJUAq+q jMYL11cjaJPn9PN0Akvz01/yllSjIWZlm1YWgck9Z4fihKvx6f2r9KQXBIxP qPRMMKvgVH5KIOk1AYXoS0sNPlfh/cIUIiifwI177Dzr9Cpce6f6Wfc9gfFS hopmVBXqRej1VaUESot4jWEeVYhqK8zKphEoawp8t8KoCsKL2ofdawk4rVZR nJGvwmDbaZHuJgIh8zoEhb9Vgpa311mznUDbj6P39UoqIam9ZY99Lz//F9pK CjGV0F5eIzSPReCe+cfiCJdKtIe8mjlAEIgt+n3BTrsSb1OK1jp+I6BxOPHn 7rkKbFvsw6OmCTwozjwsPFaBvGjhH8azBO6LWkrPMCpg3m8cfeE3gb1GwSH6 rRVYd62NkydA4rhkhtaLzxXYmta4nylE4ujh5P47byvQlWAtYytK4qrGzOXG JxVIDln0PlOchG+Am55jYgVqe95n/pQgYfGicYFKZAVqzKdWm0qRkI+/90HJ vQI3egILDsry48+8KV6zsQL7Vgw26iwmMX95oafqggpsv+xb93o5iSUxV7Im CBpsXB4+IPj/fGC8tNSZOhqEBrJrWWtINGRkycUU0BBjKHNSQJvE5m5DY8s0 GsIK1d4I6pLgxc1Kp8bREKBhE89ZT0InNc/v3jkaLNUfS3wwICGbt8uBDKBh JcFqD95I4oHButjzR2hgvCiYVDckkR9ZXWruQsO8RfS0ps0kngeZPtq2i4bA kSDpQCMSF68L1NzcRkPPx15p+y0kdHP3hNgZ0VAlGO3vZULiIJy0VhvQELxT eP1JUxL/A77eWC8= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Qk41VkfB3AhydimJM1IEqM0CBFaviFSknWKCFlKkqiMQpFQUonGFo1m JBTZEkKlrt3N7pLtyrXd+7/XTXKtef/vnOc5z3k+z3nO+Z39bHa9YO3Bz8fH V0fm/5fnFmR2wYeHS5pbtznGzMDo6zvdzmAelkeo9nf5Z7BJsDdAIZaHNomC BMru75CQ06Snp/MgUNj1cuTGNJJV9Lgur3gYyBJ8/nf7N8zL3uanVvHQ8+jL 2FWDb/i7fv+JASoPUuvVdEZfT8GB0r+Q3M1D7YlJJ2OtKVywujMo+IUHRkPn Z5HXX6EbZju9hcnDtq5L3mX7voLRSFdY5PIQbKQuNtTERUKHuozkdx52NBPb Q0K4yFU/PRY+y0NKdltY5E4urjiqHHZc4OFNPXOhgDaJW9xT84lLPNgkeRwo PjyJEbZPod4yDws+R199qeKAuHVf6Dzp8R1JQZwcDq66n3qeSnqrVHHNmiQO ZHXj0+pIv6xneFrc5EBRrmuMS9qHT0LnqQ8HWRtdyqdJKyxNnv3LmwMX4ciI WdIi77V6w704OHvE1GSRtLVSc5S/JwcRcZaKP0gfcPTjnj/DAd9/aRan/0sc BK7Roq0gfbRStd/JgwMvSbEcAdK9Z03cjrtzUDMhbrWKtK3Y+vumrhwYFecQ IqS9SuVn9Fw4UB0avS5O2t3aLmW7EwenZjdr7CBdVCK7PfsQBzJ/HdU/Svot n7nfPm0OeEsbUj1Jt0gGG7HkOVAI07ILIS3OCg3IE+VAdMnvVhnp+aAaC99w Nm4p5Q8eJt0dXexhwMeGV5pBmDY5n95E34/fQghEfE2PCyLXO3NLXoSDAIHg w090NpH7kTO4lGlxh4XYkhgp5xke3H65tdzbw4SO6ECZLrm/blLa4vk7mIg9 k5hXNM7DpN2pFsf7Ezh8ffU92iAPPwKtdl6bGkektMbsi04eNrAujbxyHIeb 5OUM3QYeAg5LOeQ1jUHJX+z3PaU8hHjUfLouNoZlxvqLTPK8Fmlki8jZjcLI PfWZ3T0e4mNdbBgvRrBvVbF86mUetL6l/64vPII86QS7BnseDoIpmejNwEpT 7uDsHh5KSvdfD+kehrxYov1eOR6YufbmN82GMVdpHlvImUHg6qbh9ugv8L5g 2pZcPgN3Zcdm4Z4hZKfGDmpFzGCQqyespjkE/2u18+/NZhBFO6XllUCHRpv6 s1CJGTB2Ue7NC9LRfeGKZ0HLd7zID9rlPD+AHHuDhw9ivkPIrmK8Y7Ef33// +OE2eQ9pSu/LQ7v70PX26odXjGk82yF55s+mXlQ/+BgcGj2NmLldy5Ndn1Fg uUHMZsc09vSd/Nl2pgfm22U875P3VK2udEJ9Ww/cs0ZkYvy/4aZfLUfTpxsa LhZrc6S/YVfzwWYVCg1Zs9yL11KnELwhoCN9BQ261GTZhc1TYEa/U1t1vAtp Dp+OF2Z+Re6/3rdDPnQi4/DkX5vVSFMkur0MO7Gp4w6vtJgL0UdfO2w7O2Di QBPs3cdFfJGX4tTVDshpK3e/eTiJkwxxKVn1DrCO1m+UPcnB/m3qLupf2vGW I89+qs7GnXg//+y8doy74Q9DUQIWE7YnMuLb8Uy/yeTZNyYmGYKXI+PakS+T oW8xOoHTszq1xNN2JPncNo9hjOOlg8CB543tCPIwKY/jjGF/vMx06coOPIjS n6ssHMW5deE52y924OK9NZ2Jd0fwrsEsueRHB1KP91ZnBzEgYBr5JDS7E9l3 6Y0mIcNIZkw0F/t2oSm6Lyk54QucSk8I/WlNQ5nDwPr890PYfWu1bdmRbhi5 ytSEL9IhtH4VBSd7UHOrXoiqRUdKbomrYuZnXM3i/3X30gCYqcOm/EJ9uOxq ONX6uh8iyZLTvv790FysSLKM7cMa/9c2BdwB/HQk78X7qF5kf0xzPaNHxz+E YYnZ48845iaW4r5AR8ueA1cM6ntQHxS6NFQ+hJQIH0vZn3pwvqtV5dGVL6i+ P2XiurMbH2WDL826DKNkzY2pfUk0jEtvMKZLM7Dbs/zATVEaosZaj4d8YEBZ eWpOJaYL7j+f2dboOgKGwpCDp1wX6NHBbr/xRrA7O33fP6Wd+D6U6nssZBSn f9524ZxjJ47mrd/rvzAKfuqv1NvCnUg/LzBBPzeGtc5jxsPl5DmgtG3b3jqG eyhRzTjfgbhuIXFJnXF4Jfmu3PxbB6al6qIkYsZR97B/2JnRjvS7ZXl/9I/j mgQl+0FmO/bk79ETV5jA9eG3L/gvtGNQlpdo7zSB+JKiKXn9dlx7uO6d8cMJ SB+nifkIt6Nhoye7vmoCNkXOfqE9bXjs6FtBYU7Aqo1ts5zThrkbZ3oWxJmw DZ1dTgtrQ76WXZ+sOhMdkfeit5xoI/8Z/463ZkyMTj2csNVqw2/f7PTdPZjA gMShVeJtsD2jKHYtmIkcukSJFLMVx/45N+0Zy0STm/y56SrSQS1n7TPJ/pTN uixTWpF52bl5ZzkTO3Lp+UJ/tkJOyuusNZUJ7UeKdrNWrYgOfPN5rp8JfqWr FaLqrXAckOz0YDMhpjAWribWil9HRN1rFpiIl1F0MiNaMD93sdtwNQtNXce8 bZpasCT2zWVhHQtSW0u6dXNb4FPwr6OIAunIav/J+y0IzG30jVBl4Vn/zhuO 51uQ43/TcEmPbG/gLFp5pAU71Kg3hoxZCHB3uiyo2gIRvfBoIysWBm1enFIW b4FcwpFADUcWAm8Tm3bRm/EqY5n2+jQLzJIUo7yMZvyiNb+135cFOldiIcO7 GbZhiXY5gSz0hL0x7lRqxlicwKGqSBbkS0xE9w59QlWRhZFTHAsNp/uOV/39 Cc2PXTruPmah8vaEq6nTJ3z4ZMD3RxYLFnp9Fm82fQKX+jm1spCFKxJUgm+Y ikOa9KSmChbGzwfQrZ9QcbVudqixloWpirrCWmcq2iq0oj3aWIhcijM33kwF zds2Kq2PhbMB5xyKGE3gmG7RDxkl64OS5Baym6CfeTd4NZeF+jnvm6FeTbh5 vpxhOc+Cpk2MsZxqE8pMUpZ1BQnkfzeKffO1EZyptuUaMQJyMsYH95Y2Qtbr dO6yNIFHh5ldMaGNOBK64tLYJgLGiil1EWhEavjqRBMVAgPV65PofI3YoPJV aM9OAi7rzKdCKA1ICPcboe4lsGhs3mZ8pwGfti3RVhwkEJCYbyZt3YCoc/Fr +y3I+KrvhBX4GpD7ITuy0pGA8PKWBofCekRkvvFgehIQGjI4EOBZj+b4G/f9 LhPY+MHKS12hHi1/HvR1Jv/rGNfqOOPBOoQwF7XfRRHYsvf4vEZCHcTUH1eI xBOIzpWInbWsQ6nVat/iNALWS3Vu1hJ1CLqan9uYTb7DIQn7lltqoa39Isqu iIDg8rU+Snwtymrd+E9XEPDOlz50yrUWJx693LqHQkDDNKV1r0YtfC7Uhb5u JGB/2+OdLn8thESeFH5uI/DcNZ+r2VmDVcS1udweAs76uikSz2vwrxd1qzad gMLbrWWvEmuQVDXsuPCFwPXH/B55ETXoMJvY9GqE9LjD/aVLNUj3zW9wHidw ulJL57FrDRR07At+MAnotPoFKlvVQHii9sQTNgEfsXYxgf01UFo8YaHNJbDb atWyqjrZ/7t/6ZVT5HykT3k/k6uBjYvvSf3v5HpbNq4yZ1ej+8GU8tNFAmsV hOgJb6vxmU9oa4YAG7QkzZo/4qoh4CHTeUCEDc81D8KcPauxMFO04o4kGxlp U5H39lfD423KeKA0G932feupatUwt89Sld/AxkM/AZuAjdVQD7kjU/wrGycF R8SiRKshp09X05djY+ew3r7lBQqepvUTefJsPC0wNUv8SsHKy4dmdiuwkdpF Kzk2RoEJW+9H1RY2NJ9N1u3pp+Cn1AgFQyU2nMO060zbKchKngyp+I0c76Zq qlsJBXbvbZToKmw0F6o8eJpKAb9hwnaaGhvE0wqVxTAKNmRFTqRrsrE26tVL Ry8KWuIz7prqsJEb+mOngQlZ/14z/e/dbPhdrVC2VqTAcPEC7cl+NsZbAwpO ipPxEzse9BuxYZm7OHdk7iPmVxqumzVh43/rPHlW "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxFlXk4ldsXx5Xr0s1QKtItabioi3Ipc18RriQyJfOUKNVBpajMZSrOOU7H kQzHdA4yRygSSTKUqTQikSGvmZT6vfev336e/azn87x777XWXt+13y0uZ82O L+fh4Wkg5382O2KMnzTan4Opoju9nBA4d1J6UucXTIfchTO3O8LgxVHvvzSW EK/SnfxqlS1W2PdbGA4vgmr4sDzB8ii+lspGWzYsoMpqNWckxQIpmXUnE3Xm QHGlc/R2mUF9o/eDVTwz2KR2aqEuwRTiIY+fEdaTaKS6J5R1HIaQGvsnV3wc xz3D0i/8fhhrN+dMPpAYQdBVh1gl/8NoLBE5fCZ9EFtXXKNrCpiibbeHZxP7 EzYsSBTJuB9B8bd+dQ2BPlj6PRHsOG6O2av7631j3qOn/oXA0lYrVA9kpq9h 96Aj30Re++kxDG5Rs/2m2Q0511aLtBgHXHh+7VmAUQfYR/bmPHdygVtg6qLf jpf4o+fwapHU4ziVfY4vMKIVNi97d4xmemLtlPeg4s7nqPgB9u/sM5BXZcys lWuE+CZRcVEPH+gy9IIjQ5/AQ0pxgqp1AUOyF2WkZOrQ0dzab8ETgM7+CBM/ 4VpYiD9yPnE+CAS9du7y0xosianvFUwOgX+YB0ct6SGMhONW1q4Lx7oX8YLa CVXw9du7fGToOuzzPYs/3q/A9ire8LAt0XhTKf804Xs5xE6a/Wnz8ibGY4xS 1juU4bUA01gyjIorEtJdeYulcBvh9bCqpKNRyoE6kl8CDYmPEvnqt/Bt+ZDd 0UvFuPdeag1LmIWImx8yqNZFCLdWVGBrJ+Gy/IiEiVEhHila6Ya8S4G3bI+I 3O4C3KYEKKlZp0Gvu1pU5e1d0Oy2w66fjeSuj/u+38pDZ+marZaxGRi4ItD4 0CUXaa4hrj+csxA4vTGyWSsHv/b85Wxtz0HvMyc9wfU5WGgTOtmfzsGRxN03 bkxx0W5rpKU8yoF0gPNPkxYuFm6q95gocdFc16JizuFCRrZSS+UyF6emLn5K z+BC6NbWDzGhXPAWDyvNpnLRHTl5YyCKC5oR/w6DO1yESucZ76Nxoa1afYhy mwstPkbRKIOLRNZ/4/82hOUlUc/kwlBM+ak+uU81Q/HxOLkuNbDg4gx5bsm1 hOMHyHOO2kd8MiXjGKnNy0u8ycVs6QmHggIuHLssmZOkX2O79mGRcjIOpnv7 JXcufvx8dcxgWQ7KRpyi9utwcWTNVKDJoRzQSyec/pXkgu9Mk/vOhBzIFk/P 31jkwFmvSfLNQA52GY4PBzZnI4d+xedR9l0IN6wlthVm4a9T1Wb/WBdCynGo iZWRCZ8FkSWL5cVYbaPcJsjNwGqNjWdtu0qgo7r+QMmDdGRldl4833kP8Y6P K0r50zF8hf+oP6McdclePF22bKRoxg+5+lVAcllScNn9NBQ6DRbOB1ShYvGy 0a9NaRib+jdoPuMhvI819VhHp2J+Jnr4z5kafObrNT87kILpyKnS5da1YEjl LqA+GZzPUS+s2x6DsAr2Mb93B3NLA+f5neshUpXq0leWhG4VxukhoQZM19/L km28jQ+S/Jq53U9xzZbSc+ZLIi6WU2ReVT1D0MMQB+kmFvoezOeNRTWT9c8q 9nuSALG9Mht+o7aBpeGtlfuaiT0SX2ei3F/C419zEys5Jgw766KMHrdjW9vG Gwdu3IJmhM4/TPlOuA/WihYtMuDGvJ5rmd2FtmD77Pe+DFgIxTTIKbzC8GrL PNGFeFhJ7/4Q8ug1DMuFNqZci8fCstaKULs3CBZpaEmUiIeN87BcnNg7sDys /qaV0dEcbXAptPs98uMXclvt6AjVT1TgsD5C4/qxfeyVdFiJGysk5veCZ4+5 84nHNEiysljysX2QVDDZExxEw7RPu8Ou0/1YCK0NsdWj4WEu18PU4BPs1Vc9 E1yiQkFXUUX07AD2jJorXqyhoiRwUZ8n6jPSoqvFOHQqCr13EOKeg1DhCRsr OU1F2tCIXIHmEAyXyuV5jamwcKtm8v72BUbiCsw/FKkosqFUsqq/QF0/2dtI gorNnyeFVb2GYU+JbjPjo6J7UlqyV3AEm8aYdfdn4mCRHGTckDoCnxR5xuah ONzqfbDOUHYU9SclA9tfx+Gg/K7t21pHoSTbwa5vjUNllzFxwnEM0p6xzeaN cXgjdUuw+/0YDvUO8szWx+FuvJKtjtFXCL97GahIskVR9MVg7le09XxdnfGE XH+gwPPo4ldMPHVNmSP35x4yz/PCOCTyuoR7W+JQc+9mroH/OL5TDGvud8WB ZhqaGlU2jlVzLevVP8bBqmbUtXxoHKpVXyLERuLAX6N5vFKEwNfOyF/Cc3FY oVWhqrybwFTvdf2J5VQ0Dvu3BR8kcIm39UXcKipcosr/fuJIYJJPcrxVkorf Rpy6vlIILKxzMIuVp2K2Spbz6CqB4vnvfVWaVHxcW/nsQyQBuotZuc4hKsQ9 i+8/pxFYua/Eap0dFWu+cAOmWATsWfdEH5+hYnJhqdIvlYDe8q23y4KpWP1o B/wzCSRuiYkciqfirkDkMhMugb4/m+eMOFR8U3Y9o5pHYOxiDPGuivyu+4fb yXwCpRQ3fkYbFWT72ggVEvAzy+WlfKKimce0T7uIAKXQSdd6ngq+iKbBjcUE dNv4re1X0nCed4B7j+QxRoXBlc00qIuOTkmUkPlvOhhZpkTD3W2mBpYkr/tR M8r/Lw3KX1zSKCSvz98cSrGjIWBZ1y8fkpcWXFkEhYbcjxVdziRvOF3ZYR9N Q2yNQv8ekhGy3oHIpCHnRJH3POnPTqUgJf0RDclKdt65JHfUVe3yf0uD997v vpYkV/CVNfrM0dB7MFtkgYzfqd9l343VdLx3K/iLQTK7jSX4aDcdRFJclyTJ hMNlkc2mdNzMdw3LIPP3maTo55ylo+lXt6IMydtas6ucY+lQ2befml1AICJL KFivgA4XRdnN0iTLu35OTu6mI+7+33bh5H2OS3Ar1X/S0ZJ1rq7/LoE4sZaV G6TjoUCZTdhHcmDE+hbNw/EonXn7O4ushwFtn0b6hXh8910mM5VLQOeO4UoP Tjx4Yytdt5P8OiOrl/YmHo7Rt19Z5BBovMKW2y7EQPZ6GfJ3Reb7Y6XTRm0G Gq//E17IIcBRsSi4dZ6BCTs1oY5sAobCrV7BuQzcNJkrm84iYNrqvuZ9HwOt xh+DRUmm/vZc9pzfLfL+A2Oy0kn/iQYNlquYcKS6ZcqlEdj1xf6VqAoTqRUt C9Gk3lx07TT5HJh4oFfpNZJC9kORpbh8OBMTgr5LBiRXz+2IjMpjIooenpOR TGBPsYVN3jsmYltEJ9/dIbAJxo83CSVgJ7Pj85r/eHbPtw9aCag7VX7dMIlA 99U0taaOBLBPmom+JfXePkgvSfJioXFCXs+JSeBa0ItcW4FE/Jo5y9cTT6Do pYKwYHYirpYOq+mR/XLHdFpghcttDP/cbq8RS0CGEWDySyoJy5JNw6ViCMyc T1g78ykJO+UC4mciCGg6WLFGc+7gcsLgmfJwAknPNTutdiSjfEHqGCeU1Mu3 y9ssucnYake9Sgsm+8WAPT24MwUh7AtvzwcSED2hc1TqWgpSZEfEvl0hUHt4 /+tN/SnwsKzlvXSZgEg7vfLs5lQcj2lPm/Un6yXiQoTdTQVTt3+n2QUCc6ay ay1F0mA2lSQu5UvqWW25+32fNAy+lz/ae5ZAiFHBwcXqNHi7vXrpfJrAsIBm 6BZBNphSxVfeniSgPG4rJW/DRu9QmKOxB4HQvUJDtvVsaHtMjLa7EbjJEC/d sjsdYUZVEQedCVx49/2T/510WIfYGJfaE8jvSwhyFcxAjOUZi1U2BNKF9C/5 MDJAFZKujLUk4D4teKFWKhNiG2R2fzcl36s0bQf9/Ewc66xeMjtE6lNXf2JW KwtOp3aeYxoQ8Dofpqw6n4Ugs79rA/YT8NQzbW4oycYXmXMWOhoElLhPKCG+ HEhZcTeMKZP1y9l/SVmRi3ta8jsyFcj3y7PKN3uSi0gRnYEDsgT+B7FrIq0= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1nk8ldkfB3BRyi4p1RijfnUxjSU10q18UpYsyb6vl1AZWigZSxJlq4Qp pQwjppoSDT9bNM/zNJamqETSxLwYMpzHTgs1Z/64r/t6v+5zX+d7vuf7/Z5n lSjMfq+4mJhYHv38933B8ECpahyDCjkDgee5aaQfMjsxksZgUzL/RfHOaUR+ um1kWMCgOsrszIlnU9BLt2vNrGCwsJPTntk3he9ShrXkmhlsMawZ05KaQufk weI7rxnIy6z5xqlkEgK7pO2nxxn0uCh67rKYRNn83FDDhSwu9mleqRyagNTx SpdnK1nMe6SsV5U9AQPjPLUAbRa9D97pxppNwPhrbvqjEYvG1GfzXObGcaAx ZijVgUUdb/pwyc1xcM38yO+BLMR1TOJMvcfhU+K1go1k0eq7VlJ5xTheWf/Z n5XMIkKlcOZh5xjM+sr99+SwGFQXHazJG8P66EE+7RaL6hl1sxqvMdgtatWx q2Vx/XNLtMHqMZzpfbq/6hGLo7fDa4KGR5G7Wfx4TyeLu4c2XyqqGcXtE1+9 f9PPouPAg1jRuVH4OhdxB6dYyLI9tZu9R3Fw3oaZ0+IcrkwLd/rpjyKhc2m8 uTyHHbLLonRlRmH9Sn/iyXIOxtGyazRbR1Dwa16ncDWHlbr3F2hkjCA175LM 9a85+Cb3jCe5juBCae3YGn0OI8H5H8+tHYHU3lyuxZDDs9IVNgUzPMjJlw8r jTgskPgk0n/CoyJV4mTJDrr+/enQ7lIe2c7iUZZmHOZScm7mXuQReE5q6JwF h7Sl4be3x/FoCWz/KdGaQ4bV1/evB/MQrNssv34PhxC20eeGAw+/3JqkDurP m24OHLLhke4uJjpuy+G54q6/HSx4KCmHli+z43ApQeKFjQkPPaOx7BLqsZI6 AxF4pFWz+XXUMdGaUX8b8bAkIQWPqUOl2Q/B1GLy4xdfU5fmh1YOb+ORt31Y oY/6bdWpojvULpVqiUPU26Q7fjpI3ci6fRqnPiTDhelTZ6c2hn+gDn4332py Kw+P1/KeUvYctA8J1COpFW21DJdT2xgc05/dwiNG8KWUBrV9WEf8CerK1Iqn ldTHLkTkVRrw2C3zg5OZA4ddbl0Ki/R5WgfJP7dQV9uXeYRq86gtUHnj6Ej3 294iN6TJQ/Jk01NbZw5/Ous4a6vwsNknHJZ15TDU1qXRKMkjCMIX6W4cvjIW ev84Q1BlFtnd4c7hlf8B1auDBFuXXZEd8aD7u/RLYfFrAsn632xMvDh8Wehb FtZMsNrQJG6jNwcnRsnNsprgc8eGnmbqmk0C0w+3CL7SDAlf7MMh4MHOcos8 Arf8dMF/Tjxb5CWVRZDrdXngKX2+Pq49UyGFoM62M1ue+urymnCLGIJbCTte 9HpyyM+oa8w9TNA1sThPROMJcRHq3dtHMCwsN86h8Ve8k4gxERHka2U9ynTh oBFUYqHsSbD0/8MBnk4cvEqTP484E2wUXb76keaz7mnhutv2BAtCexa40/pJ eVkp276boNQqPzzBioOniYS0niXBX7FKoYnmHDqKrcsizQlSHvkm7t/JwbHu 1pJoUwJb+cDPQnBYbXwzebEJQVvER/s5IYcXmT5YsZMgXdcrrcKAg2DNDtOo HTTeG/1DzrRf1k7ViKlTrzf+tG5Km4O/pfPAnDGNZ0//H5laHM4GHfNbSH9P Hba5v3Eth/O+fTn61PG3LaI61Tl0SczrPUZ9VGSimaBKz9dxYttT6qrutCJ9 2r/Fdcazm+n6heJdbplK9HxWXqtro2aWqe4Uk+NgmRB3NobGu7q+TTVqIQcr odo/unQ/LxpMfOfR+fB947KMt9Tfmhxx+WGWzjO1nm+umxF87yOxbvMMi0Kb c3IBNB9J7oLnX4yxsJGdsjLeRSD84/cZxSEWgeKKRWoWBGygT/zyv1k49nZv +Uj9ONLUSr+bhcpfCuHtNL+BqzgNbzq//JKYgRIrAv79CteDz1j4O1Vr3LOm 9XD2n6W5dN5tF1bo3KPnk585+rGHo8/v9n9eYkPwcDalwKiOxeRYr8SNPQTN rppHQitYsEztlSe2BIKm7LAHd1hoVCULR+wIBjbzgxuKWUinXiPSDgThVlc2 Neax2BSi2LDKkcBLtu2NLJ3HXkdfl6k5EQy6B4tCLrD45WJWvgqtn5OXJ036 U1mse9JWKOtC81Uffm1XFIvf5g1N5rvRejnUIG0YQufvkbafSz0Iuku0D1/3 ZvHWsf3nO14E7488qk61o/8/JV+T40MQ3bRDvt+ExdJtp7KP+BFEFewrt91C 53V9TuwrWs+6oqsec+tZPC5Z8NOmAAIjae/3g5os7myNsEvdS6BSPHZZWZ1F aMGW5y8CCYoUzzv8bwW9z8Ti4zuDCKzNjqq4KtH7StkxoyOYIK7X/0OpDAvm qqSglfbPoEhMRW8Bi4mGX/3Y/QRy+7OCRHMM5r/xn+0/QDAx0BTdOMXgrvXY pPh3BPfsXrb58gyOdS5PVAklUJA2/Kg1wGBgbXrfmjBaH9zniKQ2BlHCX0+/ PkTrN8KxT7GVQf4ph76TtH/vFn6pUPKIwZnfTN0ER+h8CTPN9m1gMOrkOv07 tVbpouVrWQa1VRlNAeEE5h7dwtk6Bm/uL+35TH1vcKC5q4aBudVIWHgEgUzZ N/SCofEY34gYoHYe/XNLdTmD1tj+adejBEt+fNxSWcZANcXtfSO1/Kq5vX/d YZBT767meozg7XI+c+UtBoICo7Y+6iNOg9IBxQw2qtYIwiIJ1vjJ9+jkMsgy tDyvGEXzb+08l5bBQHG8MDD3e4L6/et3HT3NwCMw+80SOq/KyxbK9sbQ9ZN6 VkbG0npbFixHIuj+Cgd1fowj2GdiZGAXysCg8PnimhM0Hg2ZbTJBDPjLvfub 4mk/KhxWUvFlcO+HRV2PThLUpreFHfZiUCx5X0kngSBIYiCj052+H+U1nD9L nTQYtN3alUHRCUMfQu35ZljBwomBuorAzOsUwdhFjWEne/r+JFrX3ky92E8z 6vAeBpld36kaJBI0TV4bcTFnsHtYTsI/iWCbueT6SjCovywzP/Y0wZXHxndT DWn8X+huPXOGwOHxu/kbvmXwJOx48PxkAr+rA4ndGxi8EpnmfUvdkB2pcF6f QVqIPwKpW5yqjG3WMwixMezNopZ8q6ylqMfgpUTuLEP9LzZx9V0= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.13875000000000015`, 0.9249999999999999}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.15875000000000014`, 0.945}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.95] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVde2uNGoWGOPHSEqsYBYUWwbewkQ7DUaUbC3iB3Fhj0WUGO7xoK9 YddYjhVRAQFBQJAOAsKh25WXN8b55n5jOzJ8vps7fvf9Xv464xtzzbXmPHvV uefaZk7T+jkXNTIyam1sZPSfv4sXfGxq4hGlG317me7HDj5Kt+tTw3wGPhYu X/T6qxV2vsJDTOZXOn3hkDD6w3o+i7rR+Zbow+jD6MPoFzvxOryfs7/ow+jD 6MPoDy5VeuLP3R6LPow+jD6MvsXVauPbD4oQfRh9GH0Y/SLTGrgUG/9M9GH0 YfRh9F9srHEmpUO86MPow+jD6A+caNr84d1E0YfRh9GH0dd1/c7nlEOK6MPo w+jD6Deq09Rqc3iq6MPow+jD6Hu9bHVy7k8vRB9GH0YfRv/Do/aWP6Zlij6M Pow+nLDLeum4KeG6mNl7y1mN2abY6ez75i8IFKZ++MDqER1atrsq3OrE6kMl v/ZUznTQTX5kmSXtI6d9mPZhtw0TFw4d9YuuulnG0kYDDyrN1+2I6DIvUmdx 8uhAi+nTFa8TIU3WjQ4TLggs7R7WO1j4ZJyHd8exD4SlPxt4Rr2XfYJa3RIe 7++fcLf0OWH8Kd3otytZo34X+2Dss5696Zq5w3nh2Kjjly/N0Im+1dv0yNX9 74k+TPk7pknDDjy4I7zjcc6QqdH3RT/D6qsXv1wJEn2Y8lNXFA5qow8U3rdr RWMjoxDRv5VQIW1QQJjow5QvO/uXI0mrQoXn/LC54f2K4aK/dYvJ87qxT0Uf pnx8w52HTuyIFLYrus/cs1606E/uZZGcmh0r+jDlL0QdPjD7eIzwxqeDPU/s iBP9PR925QxZkiD6MOV79IwKrhsbL/z27MiKnvUS1ecXvn96x9LJ6vMzMOV9 TBMci41PEh77i/PG2ceTRd/V52iWmddz0YcpX/Nt6qPU7BThQJfJ5Ye3TlXH w+rTU0vUTlf7t4Epv/xxlkPAvDThtrYz1yvX00W/15hLmeneGaIPU15//GXA 6aIq76sxv1z9nplK5b5JJWKdjyhDVnyw27pWL+MZfZjxzvhGDiPHHpj2WO9g 1i+Y9QhmfYFZL2Dmf5j5HGZ+hplvYeZPmPkQxn7mJ/4fsccw/pmvfFfqMtzt kjsxX8E8D5jy14PzfIa76GV+gykPu91ccXuubXin8ssjzugnrhF+OvDFTzP9 9gqHRm0KXLL5orDt7OOHf2xyTXhz/7GJIZl3hR/smRFke9lPeHe0btqZkkHC 7Zb1cJkwNVjYdUPAlAU1w4QrWA8Y22LxE+FeXaImdbN4KpyUOtrp3aYoYZOC 1AnlOsUKPwto0yyhb5zwm/7vWr74LkG456FOp3yfqjzGsujZRz5JwqcXd296 bEyycECJUi3O2TwXrjXM7sSGDJXbxJU/ve1WmrBHy/4WrrPShfde/qbZwu8z hLPKDjs25KPKZbzqnBodqj6PoSk/Ne64MktptXlBsXl1kq/LemSQS383sPR3 A0t/N7D0dwNLfzew9HcDS383sPR3A0t/N7D0dwNLfzewtr8X3K/2etp/6X+D MzK8Y+OPKlt+ViaYWG3VIX8f2bikTe8jsn6jv7GW1xWv81kyf9D/HcpeTZ+Q GKlrdm9tL93APZ2qlJ3nW6u8yrMtT9dwfhUq7GOZ3/HswzBh5hvqq/SDxab3 Z4NFHuGQNvlkbJDwz3FdFmdtuC+cHufnt7btQ2HWe5j5i/qP17OZZlLqtsit 6501X/rTTWH9wx47GjmdEU7w79fE6ex5YfqH7AcM/+e2CpuOPzQ+qz6vPYOS S0XfkP4k679BXpA5JmTOodvCE0r8HL+z8IGUl/XeIP+tv3tgqYcBwqUv+Oq3 bgqR8rK+G+TeI+yT7V+p/S9mfGjGqP3hUl7Wc4N8fvnhid+UihQ+VyshveH5 aCkv67dB7nBrfHxszRjh7s/n5M9NjJPysl4b5JvaXZk2YKvav0/dWDTzx8mJ Ul7WZ4P8XeVb+rZ11fmhxg6P3M4FyVJe1mOD3DnTb0qdw+r4WDZz3QzzRanq eGb9Ncgf+T7KKNJcnT8y7byySxu/kPKy3hrkNnueTEq5rI6vweY7pmVtyFQW uzSK/rXBCRlfvj3KvBxU9bTSoJGp+YIEvXKw/W/NzQ8eEDnjh/UgpmnXPJuc SBl/y9Nyrn1fROWU0o0rbkkLFbZ1XNBjWWSYMOOH+vbNOLvd/2awyHtZOI2N CQ4S7rez1bQfXO8LlzYPj2wy4KEw4wdm/FC///iei6/Xvy3yb2K8qyZ0uyl8 pnPjuWmNzwibDJ5mvy/9vE47/zC/sP5q5azPe3oHxNXpt0XG38W17Wzm1Fws fKfcb+fbue1RXKKfnLkwJ0vs7/44rVl630s61meY9RlmfYbR96vrn1C9yUbR h9GH0Yd9k4s8G5FwTjk3wOyJqU22MmLKHrNSQQ+E0/NGpc/4NUzY/HRW11jf Z8LNL+oczN8lCD/asvJddKXnwlNcfzjs1fiFcJn+1Qb26ZIlHLYta7HRiRzh +qv6h0ddyhOeOeei5cU7BcK3XGot9wx6JVxxkPvTKdFvhH/qntisd+o74VOt eq6sn/9BuLDesWeFhYXC+D/hpndVr4U54j+M/zD+w/gP4z+M/zD+w/gP4z+M /zD+w/gP4z+M/zD+w/hv0rThwOK3csV/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h /IfxH8Z/GP9h/Ifx//GOY5vnlMgX/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Ef xn8Y/2H8h/Efxv9VxlahaX0KxH8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Ef xn8Y/2H8h/G/k+uZyiM2vBT/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/ YfyH8R829angt3PPrU/2z1+XSSwYGpWt2FXd1vGKe7DIV4V892vDU5HCCfeG v+6TFSe8+GC9A0WMk4VNPF70vWSSJnx1zNmPU60zhS33XgurdChb2G2jmYX+ TK6wv7vH0vvX84VrTkuL8H7wUnjiSHurxU9eC1+yP+0xPOGtcMmOVaOt9e+F B1vMa1Hp7Udh/g+t/3fmuLT2r5srPDcpzbXT2Dzhpn2nnPM5nC+ceC0779vM AmH+X/qXtn7teouc/gbT32D6G0x/g+lvMP0Npr/B9DeY/gbT32D6G0x/g+lv Wn9Zb2DmX5j5CGZ8Eh8ql7d4XcmgLNnftYnaNcFnxHHZz8Dsz6abRrcwsz0r vH7WkikmNvt07GcpD7MfYn+KHEZO+/BX+zdZP6h4TeIz19dHuPa75Cv89vvx gbrngcI7i7332rr2sbBN4m1b+z/OOXD4zbWZX12JEp61p/+O30Nihdfoftnf tiBeOOJkzpvKRZKEG+4e6JhVNkV49i+XDz6onirs61bnw4H66cJVJi/pv6RZ hvDY4clHRnTQCw89UN+odv1s4SL/GHSsVOMc4cObVw16ZZUr7Lju9yLJrfOE Xy/LOB7SPl94zwKTITc6Fwj3mOn41cmeL4X1E5ee3Gn/Snir07mhq/u/Fu40 LKXYnKFvhJP6VvcZO+qt8LrefYb3c34n3KqzWwnbSe+Fo9uePG0544PwsmZx I2rN+SjcpGGlkqUWFn4Sb+N5c97S7tf/u/E35oOIiuXW79yrl/HPeYXxDzP+ YcY/zPiHGf8w4x9m/MOMf5jxDzP+YcY/zPiHGf8w86s2nhjye5SZ7xsfHexv u3RD6N2Dwh2sK1XbfzJbyifEng2tUDJHOHvflkFV81TeatemyjK7XOGD5Wts XdkmT9ju8u/9CzaqPMxtV9ibBfnCRuadvMaFqVwhrW7VyTcKhC943gyJrPFS mPkdpn98Eo8y9Bfme218SuIphvlR4pWG+RFmfoSZH7XnSe35k/ZlfjTof70i uqvbivPCuwcU+TVoyE7d//V4Gfsh+qtD9ayHmc2vSDzkkmWrvQdzrgvXDG10 1PbwPWGn3iuVsX53hfn/2U/xf69olHsu3FnlrRmPraMdc2S/Rfu7S1TbHvwq QOobsOnyVyfDHwn3OuR98pevQoX1o/vP+63yY2H2a9S3zraW+aAm4SJP8Zg8 vFutCOHlY1uVfNciWrhx3cSQsl2j1HiQYb9HfX4fjrrfHhYr8k1mi54OaRAn HF8hoVmr5gnCLafafNPxcrww+0XqW/LjPyZXv5sociujHivLd0wSds868iy9 V4pwsF2R23lBycLsN6mvbgfnGo+in4s8IKZcK98BqcJ1Ames2ftTuvC0Jven HU1NE2a/Sn3Xalr6euS/EPmka2FxbpMzhK8ct2kzZK5euFzpTbVHG6nMfpf6 jrvNtzEpkS3yEoGBvjW6qHzyrtHPxr1y1OfvejypTFmV2S9T3/tJMRveVMxV y19rUafAXuX358b6JfTPE/YeU6H982oqs9+mPrvhXVJC6+Sr5Y9vnRk0VGU7 bz+T66MKhPP7uW66VU9l9uvUt6PPwQ4+jV6KPHfn2/vHnFXe4WUxa/ukV8Jd ukQ8/4eVyuz3Zb20Ke21tvVrtfzakaYrZ6icvnTjQ9c5b4Q9m3foNK+9ypwX qK9to6lpLp3finzj/FuznRaq3PbnfDPHZe+E40z3bB7QU2XOG9S3qnqI0sX+ vVp+gnlAx9Uqrxo9ZG6TDR+Em1Uo9sKqv8qcV6jvibH11jpDP6rlh66pV2OL yhGOVwNL7CwUXlQ4rnOZUSozH3G+kfV266z83kfV9cdu6ODZDltypTznH1l/ i75peVWv6hv5Pj1/IzJPynM+kvV4mtvMpi1VvtBiZEELkwIpz/kJ+YjowjN7 5qg88bf4VgecXsp+jPlaG7+mfJy746sJZdV4I/s19j8w+x+Y/Q/M/gdm/wOz /4HZ/8Dsf2DsYb+APTD2wNgDYw+MPTD2wNgDY482/sv7QvajMPtRmP0ozH4U Zj8Ksx+FaY/3kbQH0x5MezDtwbQH0x5Me7zvpD2Y9mDag2kPpj2Y9mDa430q 7cG0B9MeTHsw7cG0B9Me72tpD6Y9mPZg2oNpD6Z+3v9SP0z9MPXD1A9TP0z9 vE+mfpj6YeqHqR+mPt5HUx9MfTD1wdQHUx/vs6kPpj6Y+mD0ef+NPow+THne j1MeRs77cvbDnC84j8KcR2HOozD6nD/Qh5FzHmE/pM2fg9k/a+W8f2Z/i5z9 Kcz+UvL3DPtDmP0dzHiAsY/2aJ/32chh5Ly/hnk/DfP+mfaR0z6MnPLo8z4a 5n0z/iFnfGjL874Z5n0y/5dWzvtj/l/KI5f8KZ6HoTzPT5t/xXmW85zEew39 A+Y8BtPftPqchygP0x77E/ojTP/X9i/t+oWc8QUzPmHGO8z/r+1P1E97rC/I YeSsBzDzNcz8Sn+BkTM/wpIvbOgvMHLmK5j5B2Z+gZlPYG3+Lc+L+UPL8n7A 8DyZL3h+zBfEE8mPJf5I/ibxSvIpyYftkHLbY7ZFjuTP5vTreTd1eq7EK8l/ Yz9IfJj82q27PA6cClTnr+9LlUo2q5wn9mj1tfE+7fsKyqOvzSdmPiU/N96q qEvHNdly3iP+wv4Ppj7i1cS7aY/4Mkx8GSa+DBNfhokvw8SXYeLLMPFlmPgy zPOCiS/DPF8Y/9lv4q/kIxvOrxKfMjDlOY8ih5FzvkQOI+e8iBxGzvkPOYyc 8xxyGDnnM+QwcsY36wvrBUx/Jj8aJj+a+Z31gvkK5vmQX0z+Of2Z8QMzPmDG G8x4gck/h+nf2vcFnG+Yn1k/6L/k+8LMN6w3yJlfGP/4z/xG/yQfmvWN9Q9m /qO/k//Mesd6CDM/Mn7Id5b9jGZ9ZP5kPJLfzPNmf8Hzhnm+5M8zn7NfYP2B GV/kq7N+4S/jl3xw1jv8Y/yT7y3ro8Ef5g/yuXnezF/Mb9r5jOfN+yHmr5DC tcExP+o/OV8Sn6V9GHth/IPp7zD/D8z/CzO/yvuWB2UvjBull/Wb8zZyztsw 522Y8zbMeRvmvA1z3oY5b8NGcyP8a79V9wsDXEJa+41Ol/W/2/kyDW+8Sf7k fNPqSGq9x3r1vPIkr2+10tWfy/NeZJEw6FlUmjzfb8adCB46NEP50nxvnpfE i17My3X/0U/Wd8qbDAs9U++nbMVo6qhbIRPU9b5cd+86qQ565V2xVReHLtmr u32jVvzFcXqlbGPjAP+ih5VDju8v99idrnjODjk/43C4Ut5/v8NAlxTFctv6 4DIhcUpgVslSTZvd0z3wiLfNm5SjvK55ucT1EmE6fcbF6q8X5Sr1lvSpZVxH r2RcnbMyzvuMvL/4V+Wn23tOLud3OVNJTb/Yrf7Xvp/NV2+SNXmIz60MZWmH M/qmFkHKw4/eZy/9lKHYrt2yr8edfz6fnf5+bVPGGtuiT5QDvt9eHdBePX+8 c/Z4UuFSmtJvudVySzNV/3+a/854y+6qXxJgFqeUdWl+fmk79XzSeo1Dy4X3 k5QTu417KsP/+Xz5wHzT1kt3xyva/No/y59vWrfSklWToxVtfu2f5dP3qzH3 /djAUEWbX/tn+fXFfJ5fannXT9Yzp8iaA4oVXNd9d3hktMvLbOVkSM3y13sG 6Ty7pYYfeKmen01GGa3PdMhVdjl+0/D8mWA5v7C+xl0ZaW/RMk9xXljm2b6C TJlP2W8S39Tm89e7+mPt9ZPU/efn8vuXGmdV/WiZKecR6n/qYXPJt/yX5/8f 3nW/atPRqXI+Yb3zWee0z/yAet9Ce17JaDrB9pt6av/4s/sC2+zWnQvPjJX1 m/V/95xfX+/3VPsD6/X0D275pS9GyPrN+j+x7EHn8cs/vW8QYzvk2MbTQbJ+ s/4PirnT2frbz99H6HPZPMnfTffJ/qVasbpvuixT7yct1Ht07x6hnoeaGUdf mvif+S5DjDsvnaBXWqQOfnNvi7dSvN/UWLO+8Yqfp6nxkx7JSrueh8z9zaKU 7bu77EgtnqrYLhj5ulajx0pwwbBNN35LV2rnVC3T2POusnHrqa7bamQqxY9P fzDl3QvpL/UsPKM3O2cI6/oXbml594WStMhv+NuvQpVHKzouDu7+QvEMb71y 27EwxbLJ4H/EpT9XSp7xNfl1ZoxSas22GvtmPFesh+d87bEgVilnpd/WsNof 58qbyWXrhycqtavOCnDJjVHGHDxVY8axFKVPkKuXR8tw5W2d1TFWg9OUkmtM f+hQOlBRIurOd4578Um+uTa/vPlqR++wPGfd3DrtK+4onq3YLusY1eDpZaV0 0YRtId/rFV2DDk/WjNqvC6p0r9c+hz/OERdX53uFRuqqzXHt87FYnlL7zduJ EbPCdQdPvEnvfztX8UwOuLhxyFM570W36L65eKldcj6T+3O6JYcL62QrNrrm fQrH65U7xiOGHe2ySBm4M9S0t7Fe/j/tfZNP8sE1+d/ZN/y/+v7GGd3PPVr2 LPlrtlI7ZW9O1renZf9U5b2d13xrvZwXzHrN/X6onV7Zt3e59Zrwfbr3mxxG rLPRS/xqdeKFUcNM9Upc/aVROSnXlXsZLdJOVNcrgW7eC7tUvKE8cTtqXGOv Gs869LpJiX4bMpU2U1aMvW7lp3yTe8S2+1Q1HnWs4rhB5QakKdXb2h+1+qOf sb+rfXtyQJ/4bGXSkFoXB1T5Y1//+lTpeSXO6ej/7F+0942K98v+tdrF4/J/ mTlGzDpY5eAn8xf3dxgv1LdmXxm95YQravn91dxdfr8u/HZ9re171t0TXrp+ i2OxpLvK//R+C+Od9q9/3+DojMqBUp+13bHcclcfCV9aXufgtYLHwouWP10y zUxl5hvqqz1mX1Nzm3CRDxqT3M+1XIRwfucThY0bRAv/3nliVLRjlDDzneQP mbZY5TU+VuS9N7Z7Mt0kTni7+24Lu8YJwgsK3Wo2uBEvzPxLfff1cdON/BNF /nxq0WXfWScJtxnpElm0S4pwjZhu96LCk4WZ76lvXMDhOhcTn4vcw/6BVYx9 qnBYh6YrLg9NF754tayrZ1aaMOcJ6uvXfVd7z1LZIv+p+Ik7BzqpXPJDzDSv bjlq/+gQmOJeXuV5s5xdW/fVKzXrDh0ZnXJOqXg80Nz5j/3owe/Kt1p8SI03 0N6eVkaeU6rmir5PfoVaS/qoPCSji+9UxzzhXhYtOg6vpTLxCOrLrjc2tZdZ vsiNklxnjBik8uGog7X7jCgQ3lZrq5f1dyoTv6C+TpX9OtW3fClyh8cR99o4 qfzyQemZDca/Ek4p/TatYkuViXdQ3/qiFlsK274W+e5bHUwqT1W5x+9T7xu5 vlHHw9sfbTM7qUx8hPqicza8eNrtrcgzTu9x1c9TefORkLrR7u+El6fd3OrX R2XiKdRnEZ/X+YLje5F32Fvs4X0PlZO2Wc++uPaDcGhEg8z9g1Qm/kJ9bkGD t20a8VHkazaONzuwSeUWq3b4e/5aKFzfb3VXdyeVv/Q+XJWxRiPN4zKV+eHH 0lqm3P7i+3HvfRboHfZmSHxosHe5FQ5NMpXF1WLWJS72V1bWrOF4tneG8nJP wqHWdf/19+nst7f2mmv9x36hXcvtlaLDlJ6xXm5OH9KU2WEDjctMjPyX37fr dfWrERm/JUm86978d789PJ6oGB952eLu4ERl3dA+l+JzE5W2VXzb3qv5v/9+ 3v/1+3a7PRxq9P3llu7SytpuuxrkKMMGRVn2TL6iy77XZtH+mGxlZWzxHyze qe+/iac53bGcbe0eoiQmXDoQ1yRR0d6/l3yZjJXVlO43lUOzQ902n1XjkUvW jIu8VlmvTO5651iEw51P4pG7j3zbZ+PIHOX16FZV0gpvSXxybf6G9Zd3JCvf Tnc6MmZbvNI63NvRyzpBKb/1ZN9FG5OUNY0cz2eVe6acO1Gl+LOhz5Wj7V+s d2oepsw9vveXSe/TlLFBvfweP76v3B49M/PZwgzlalptl3ZRD3X1b63wP3Q6 R4nrvC/Nd/YVed9C/DVitFVkk73ZyuTdpjVMJ4frDtUsatz2j/PF7Tnn3AKa PFdyW7/fl2IcpziN+nh05oEQ3eIP9jlV2+cqZ9s2uHTIKlPxrmulXznAX/nB /sLlMvtTlbKdx+eHBEYrc9qadhg8Lk6x2fawt9vbZMXU2LG6e9NIxX3CknFX T6UqJV++jmhaM1jZXmrK8BKd1ffRnF+JP8HEp2DiVzDxLZh4A0y8QxtfJr5I ezDtwbQH0x5MezDtwcQTtfFDmPghTPwQJn4IEz+EiR/CxA9h4ocw9nDexx4Y e2DsgbEHxh4Ye2DsgbEHxh7iC9gDYw+MPTD2wNgDYw+MPTD2wNjD/IA9MPbA 2ANjD4w9MPbA2ANjjzZfh3gK9sHYB2MfjH0w9sHYB2MfjH0w9sHYRzwH+2Ds g7EPxj4Y+2Dsg7EPxj4Y+7T5QsSTsBfGXhh7YeyFsRfGXhh7YeyFsRfGXhh7 WX+wF8ZeGHth7IWxF8ZeGHth7IWxF8Zebb4T8Tbsh7Efxn4Y+2Hsh7Efxn4Y +2Hsh7Efxn5tvhXxP/yB8QfGHxh/YPyB8QfGHxh/YPyB8QfGHxh/tPlgxCfx D8Y/GP9g/IPxD8Y/GP9g/IPxD8Y/GP9g/IPxT5vPRvwUf2H8hfEXxl8Yf2H8 hfEXxl8Yf2H8hfEXxl8Yf2H81X6/Tvv+TJtvx/szysPyvs3A7L+5D4Q+jD6M Pow+94fQh9GH0YfR5/4T+jD6MPow8UTin7yPgIkHyfsNQ7wGJt4CEy+BiXfA xCtg4g0w8QKY56fN/+I8Dmvz/Tj/Em/T5vdxHqU/w8T7OH/S/2HJjzScNyWf zcDEMzlfMr6030fj/RPnS/L5eZ7a+83st2H2w/ivfV+l3S/z/zH+YMYfzPiD GX8w4w9m/MGMP+3z0r7vYj/G85LvdxqeD+shz4P1hf+f+Zn/m/mMeLb2+5Sc 18hXIT+DfBTyMcg3If+CfBLOn5xv+f4h+SB8j5D8H/JhyAch34X8D/JZyPfQ fo+P8yz5Q7w/wV/8I9+H+9SMV+LvPH+Y8nxvkvLE0ygPU578GJ4f8Srme5h8 M+33HOnvMPMtz4v5Bpb73wZ/5f63gZHTH5DDyOk/cr/cwMjpb8hhbb4Ychg5 +Tbk13EfG+Y+Nsx9bJj72DD3sWHuY8Pcx4a5jw1zHxvmPjbMfWyY+9gw97Fh 7mPD3MfW5l/yPVLJzzScZxgv5JfCzNf0F74Hyvjhe5w8T+ZPWL43a3iekh9t YMnHNzxP5DBynidyGDn+IIeRM36Qw/K9S8N6KfFGAyNn/UQOI2c9RQ4jZ31F DiNnvUUOI2f9RQ4jZz1GDiMnP435ivlW7rMZ5jPyf2Hyh5kPWO/Ql/tthvLM f/BB3YNiw8/niT7329CX+26G8kaz19XfPFjl4RYO3QLe5Is+993Ql/tvfG82 ofzYErtUrrA9eJnSSb3/xn6K/s36Rn9mPSNeyP+Fvtw3N7DcNzew3Dc3MPs/ +iv7G/bjMPnB5KOyH+T5kG+qfT68H2e/wvNgfwmTz8rzwX/GM/5SP/ZyPmf9 JN+c9vCf/Fj6C+XxBzntM/6IzzE/k9+MnHgZcuYv5MxPrIcw8x3zGcx+AH32 pzD9gfYor/1+xd/5mv9e+Zqw3F/+//x7IH+WX2ozyOWJ5f+D/NLPfZ9Em3+q zQ/9XP7nl+Zvfmn+pTZ/Upsfqc1//NL8xn/2+yyfy4/83PdbtPmTf/X3XJgf 5Xs/mvynz+VravMzP5d/+bl8Sm3+5OfyIz+XD/m5/McuL4KDQxZ+mt8YV+bd 6abLVJbvQ2jyHcNn2of7z1HfV/7Z90+098XIj/zS79/85fmUn8ln+3fPt/zc 92i035v50nzKz+VL/tXfr/l3z5f80u8rafMr/+p8yL/zG//Ob/w7v/Hv/Mb/ bn6jNl/xS/MPP5cf+KX5e39/r+zv75X9/b2yv79X9mf5oP/bv1/2pfmrn8s/ 1ebH/qvzUbX3m7T3s7Tft/zS/FT5nuqx4b8vL5ip+6vzVbX5v9rvef4H3Gji DA== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwBqwJU/SFib1JiAgAAAN4AAAADAAAAOzYxPTcyQDg0BgECBwIDCgUGaWow FhESQkEETk0QDwoLSkkMEg0OEw4PRkUICwYHDgkKFxITYmEkGxYXcC4qVlUY WlkcIh0eGhUWUlEUIx4fJiEiKiUmKyYnZmUobiouJyIjXl0gcCsvamksMzEB NzQDAQYFAgcGQQcDBQoJBgsKRQsHCQ4NCg8OSQ8LDRIRDhMSTRMPERYVEhcW NjICURcTFhsaGR4dGh8eWR8bHSIhXSMfVRsXHiMiISYlFRoZYScjJSopHhka Jisqbi0pIicmZSsncmkwaS8rAjIDPjozAzQECEUHF1EYMjcDODkENDgEMzox BEEDB0EIQUIIQ0IEc0MEQkQINjwyFFETMTYCNz80dk8QSUoQdEcIRkgMS0oM RUYMC0UME00UTU4UR0YISkwQT04QdUsMEE0PTlAUJGEjUVIYYWIod1MUUlQY GFUXG1UcVVYcV1YYeFcYVlgcHFkbH1kgWVogW1oceVscWlwgIF0fI10kXV4k X14gXmAkU1IUJ2EoY2Ike2Mkel8gYmQoKGUnK2UsZ2YofGcoHxobZmgsLGkr ZWYsATEC1pVba2oszY9PZHwoaH0srfh+jstMkM5QktFUnOBonuNslNRYbH4w mt1kisVEiK857O5x5uRtoPc195817YQu84UvhOouDEkL8vRyjMhImNpgltdc YHskOXMERHQISHUMsqA1sfw1hvUw6+dv8Oxx9vJyTHYQUHcUaXIvVHgYcXAv WHkcXHogbm8t5+lvb24uf201cHEuK3AqamwwKm4p6PEthe8v2ZdftLU65OVt t7Y7sIYwwsFAv8A/ubo8vLs9xIlD+a5/0JFT4p1rx4tHyo1L35tn3Jlj05NX fWssD0kQ/LI1+4eA+vuAp4LKFg== "]], Polygon[{{172, 226, 107, 125}, {171, 223, 103, 124}, {170, 220, 99, 123}, {169, 217, 95, 122}, {167, 211, 87, 120}, { 229, 177, 53, 109}, {166, 208, 83, 119}, {168, 214, 91, 121}, {162, 196, 67, 115}, {193, 131, 56, 64}, {187, 130, 55, 61}, {182, 129, 54, 59}, {164, 202, 75, 117}, {238, 237, 46, 113}, {163, 199, 71, 116}, {175, 162, 115, 57}, {190, 194, 64, 52}, {153, 219, 98, 99}, {151, 216, 94, 95}, {149, 213, 90, 91}, {147, 210, 86, 87}, {145, 207, 82, 83}, {143, 204, 78, 79}, {155, 222, 102, 103}, {141, 201, 74, 75}, {137, 195, 66, 67}, {139, 198, 70, 71}, {135, 161, 56, 128}, {157, 225, 106, 107}, {174, 230, 109, 127}, {204, 144, 80, 78}, {197, 163, 116, 68}, {201, 142, 76, 74}, {165, 205, 79, 118}, {179, 183, 59, 49}, {206, 166, 119, 80}, {244, 243, 47, 114}, { 192, 190, 52, 63}, {130, 191, 63, 55}, {186, 184, 50, 60}, { 203, 165, 118, 76}, {239, 240, 113, 47}, {221, 171, 124, 100}, {129, 185, 60, 54}, {225, 158, 108, 106}, {209, 167, 120, 84}, {215, 169, 122, 92}, {218, 170, 123, 96}, {212, 168, 121, 88}, {161, 136, 57, 56}, {222, 156, 104, 102}, { 184, 188, 61, 50}, {189, 180, 58, 62}, {245, 246, 114, 48}, { 219, 154, 100, 98}, {213, 150, 92, 90}, {210, 148, 88, 86}, { 207, 146, 84, 82}, {198, 140, 72, 70}, {233, 232, 45, 111}, { 159, 249, 127, 53}, {216, 152, 96, 94}, {195, 138, 68, 66}, { 224, 172, 125, 104}, {227, 173, 126, 108}, {181, 179, 49, 58}, {248, 176, 48, 126}, {234, 235, 111, 46}, {131, 250, 128, 56}, {200, 164, 117, 72}}]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVl/dzVkUYhb9dSqih19BDhxB66ARISCABTAREigiKIChVRQQVsaDYsGPv BREVURnLn2Dvim0ce69jRTzP7Pnmiz+cee/d3bt79t33nHtvz+XratfGTCZT FTKZeoqnK14kNBeuEXYLGaGNcIbQVrhe+FfNUfFG4aiu6yneIpwrrBDuES4Q Vgu3CecJK4U7hPOFVcJdwnbhVOE+YYewRnjIHODSUcgTGglPCJcJG4VHhEuE dcKjwk5hvfCksEvYJDwtnGneHYSGnuth4WJhrXCK0EBoJ7T3NeMeEC4UThM6 ef3GQoHQRGgqdHFsJnR1JG/dHPOF7o4thB6OLYWtzhPr9XRbK+Esc+kj9K3D q1Bo7XPo5zb29LhwqbBB6O82cjbQvDsLgxzhPtgR7kWOcB/iCPdiR7gPdYT7 MEf4DnfsJYxwhOMAr8/aI93WW9jsPY0SRtfZ33hzheMY7419jHVkvgnuh/tE R7iXmiscp5ofvCa5nz1NdmTcOM/HeiVen/WmeA6en+01mKPS4+B1trmXC9Pr 7GOG++E705F1Zpk3c5U5R+Sjyv3su9qRcdPMfYTzxTmjtTnmwj6WCccINcIW c5kn1HoP5OBYR+abX4fvcY4VwkLzhu9ic4LLAvez7+MdGTfX85V57VKvt8hz VJnXZPct9zh4LXVO2ceJjow9yf3wPdmRdfAbvARPOcF55Hk8JwhHMslz8B48 aIm5M44aREPoBB/Cb9AytY920S1+s9r3Rc4tZ4SvbPKz+NYaj8eT8AB0jh/g Segc78Fv0DPeg/7QML6Fr6B/tI1O0TB+g1flexza6RFyfoH28Bh009H8Ovs+ W/fUSZ77O5hfgcdl/agg5HynW8j5TveQ86kuzksH87s8JB+EJ96JX1J/+MpG 5xQe6Carb2J/t1HD4/w8murjuenv57mo6cKQ85qikPOjrD8N8nxZDxritXs5 X8yF1kp8ToV1+tDOsJDzo+HmgUZHhZx/DfVzIz0u63HF3hP7yHrPWK/X12uO NscJ3nOF20pCzmuoJ+qa+l7uNdHjFHOa5nvWQTczvT79peZU5nHwRrPl5oEW K0POa2Z4/QqPgxc6qDanyvB/PS/wXPjCPPNFi3O8do3veT/zTm7k/dA/2xxr PS7rNbUh5y/zvd4C37OHuR430XPAjxpe5fmzPljl/Sw0V8ah/yV+bqnvqduV nqPa/YtDzl+Weg/LfJ/1F84DPa7wHDU+n2XmwX7RXLFzMdk5XmROaBaNU49o DU9oZuAJzb2HxX4Gba7xWPrwhHwDH0CX5zkPeZ4XrbV233qvCafVno8+PAo9 oVv0QG2iV75zeF/ge7c6RxX6sHstpHdv9n2P3map/a2Q3iHDdD1ceEzXN4Xk rfUcucdn8eQ9IefL9OG9fMPc7Jxyj0fjz8Wab0hM32V8Q14n1BduCGlMdOQe T7/W4zLOye3Oy7ucpeY5pDhasUQ4oOtnhe/Np5/a+gv7dN1HsXdM33cDFQfE 9J3YVbGb8KCunxG+Moe/hZdC8r5e6i8U9ur6OeFXcx6rtjExfXvOVHwjpG+B kboeEdP3V5niKyF9uw3WdZGwX9c9FLvH9D07XnGCcDCkd81Bn+Ue55e1eKfs 99lvE64OqWapox2uJep0u+viKnMpd44PeR5qk3dVM5/9FSF5IWOvDMlXtvj5 cq+30/W2zjxaeOxmj6d+eYflm/cu1yF75v2B92/03qhTPORO8z3H681zrrd5 X3DkTLL/HHvrrLPPXHgHHfDccKRONzgHd4ekDd7X99bJ0/3OwW7XVX3XE5zQ OtqgzvKc460h5w3op6H391RI2sp4Lmo/ux56nKTznBjTP0eN4vOea4N5o+kf hG9C0tLPIdUudfub8JPP/3fhj5C0RNsvbm+mOZvG9J/0bUi1Gz3fd57zH+Gw c/qBcMTn8YXwY0j6aq852sX0j1Wp+KFr4nPhy5B02EbtbWPKYyvFljH9w30S kh7I4V/CnyH9530qvBCSdmdr7MfB9RQTDzh01HWnmM6jSvGjkGqqVtfvm3O+ rlvEdJYFip1j+vdqrNgkpho67GcY/55zTZ7fEebEVF9vh+RrW7w36pKaZ80Z Ma0Lx+qYeL4ofBaSbsjH9Jiey1NsGNN/6pshaR7dRMUQ07/syyF5B7X8ekg+ i06OUisx+e+rIfkCPOorNojJ17523sl5qdqmxFRn0xSnxvTP+h+XW09B "]], Polygon[CompressedData[" 1:eJwtlNWrV1EQhX97vHZ3x7W7uwNFUVT0PxD0mtfu7lZUxO7ujge7uwPFFwsD A2zF+hazHz5mzT6xz5lZs5O79e+SaolEoiskQXWS2rA3JBIDoQi6BGxF94Nk dBnYjk6FsuiKsBPdHyqhq8Fu9ADIis4J69G9IT+6MGxG94UM6CywFt0LvsEv WA7doQ7XGsB+9CBohm4Fh9FDIC/6DHESbIQc5KeJE4PveRRewEJIQCGunyVO Dv4NLcmvEocGf2dp8vPEqcH/sTj5OeKU4DV4Co9hNMyHv2Dcs5KYAgF9gjgu +Fpm8lPECcH/MQ15eliN7glt0LeJw2AO/IGb0ANmQzqunySOD/5MO/K7xOEw FzqQ3yeOgHnQifwhcSSMgmvwHBbEGjTkelM4iB4MP+E4jI01vwg1uL6HOB2q mq9Jq6dNyK8QZwV/x5NYE9ViTNzrOiyKe6o3BXhmU+zRa3ilOsFieANvozb4 ET2g3i+Dz/BJdYOl8AW+Rp0Ex+B7vFc9uQG/47eohqp9NvZfF3ug3iSRr4o9 SmveE/VCa5nMPSkvrom1+QcrYo0S5j1PiWvqTUbze9Wj7Oael9e1Zx50LuiD 3hDcm7nNtTz6AT7CkviP7+FdrIXWCprPjGZFNayFvkScEXxG5dVyrO0I7ll5 uyj5luAeL2Y+w5pdrVUxn1HN5i6oZz5jmq19wd9d11xrj/roy8SZwWfwAlQ2 f3Ya1DQ/M3RWyDOlzM8InQ3boIL5M7pXZ4RmqaT5Nc1UY3NPyosH4B60N/e2 PH0H2prPhjz/ADqae10evwWtzWdFM9TC/IzQ2XAouFebm2t5tjP6WfTOEXgJ j6KWZ/Wvjcy/Rf9c3vyM09mmGquX+czPGvX0PxsPqMY= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHecVsUVXd4dNSYiAiIqKmLsjSpFULqo6UgvUqKAS2ell6UuKnVBkaIk KKCiWEEJARMDAgJRAZVgQYpS7EgU0RhzTs75fssfd+/deTPzZuaec+68r0r3 /i37ZXl5eUdL5eUF/B786QTbhcbS8K3hb4cdh92E/x+FrwjfAf6PsB9grWCd YRXQ3h6+O6ws4rbwXWFlELeB7wIrj7gdfDfYOYg7wt8BexJ2J6wPF4P27fDL YC/CRsDGwf4LexP2BCyhz1vwy2E/Q/wO/DOwnyN+Dv5Z2MmI34Z/GpYh3gH/ FKyv39UD1h/WE9YL9oLfXwAbCLsLlg8b4Of8f5DbesOGejyfD/a8PMy7PU/u /x5+xzD35dznYT2VYMMRj/b4IbCRfj/nWOmY+x/lNvarj3HXh9ZS6HVw7jGe Y6h9P69vJ+x5r3mi5+I7J9lzXJE95/sLbBVsLOwln/1k2D2Ox8PutZ8Au8+e cz8AmwGbCZviNr7nr55jmvuO9Dpmei7OcSP2dENoLcVu4xxrPG4WbLbj6bCX YWthU72WEZ73QsxROTTHIdjWTLid5/H3wxrhefXQev8OexC2APaQ47mwJnhe KzTuH36+ENYMbXVCff/mdeXG5NZ4CZ4fhN8EuxzxFvjNsKWwRbBHYFeifb3n fAP2up//JxOvOmXiILlFjv0S8QH4jZk4RV6Sn+QauUWOkV/kHLlHrpBDxDo5 S16Sn32NI+KJHCSPyWdyhRwizskVcou4JRfJG+KYnCOfyAdyjjwjH4gv4rG3 nxHn/T2mX1bCOfo+nre/n5Gvj3tsvufJ8W+g58rh7F6P59oLshIsEpsNQtxY 4THkRI6jOU6QN8M8L/8n5kd7vlFZCf9GGk/93G+w5yj0mHF+5+SshEsTPW5C VoLH8e47ys/5jLwv9PrIs6IT5i06Ya4p3jM5McXtxMhjsCWZOEAsz/ZaZriN /gE/axji1Wqf00w/n+Zxs7yH6W7j+4rdr7L5wbiW8T7X4+ZlJXinJ/6bhjiz LlMtoMZT6xuH+PaK+3Eecqm6ucV1rvV7uU9ya6H7NA/x7VXE38KOZOISeUBu kUevZeIEeUXOkWfk+6eZtI/YogYsdf9FjnmG2zLVE2LzX5nqEPFFXBOXxORV Ia5uyIRt4p/YJLbJi5625VlJnSCP8n2uOe3M97y9/b5lnmOGnzM/72aqQwU+ l1w+d2fSYs411rghZt7PVCOJsQ8z6Szz+EGmnBd5vxu998/8bJX/3+SzIvdP Ca17qvPBXFR13oiDjzLpIHOzN5MuM/81nHPm8jrnijn+HLbHc32cSev+nEkr eL8gzy9F/4tCOeRZ7vBZPuqccY0tQneP484t878Y9nUm3WQuv4R9kokf1KiT Qnla6rYlztvbzs8XsMN+B/P/pnOy3ON7OYfvOG+5dy82Rra5P3NF3PRxPrc7 p8TcTud6X6Y6Qezvz1RviO2VzneB9x2h969xLqc5n7ud97U+z2LPsc9zrnJO i/yevc4L11IqdK4vOx9rncP9XgNxceAELBz02a93vpnra0PnxVrKu8FnfudW nyHPmPk55LH/hn3nMzjks2bfW0K17Tbn8IjP87BzyXnIua889pjnYkzsE+vE eV1zkWv7JpMubPG4Y+6/2Tnjer53vNhruDlUX39hz/rKdf3otRFTxBNxQ269 l0nLqVc1rFnEJOf9Zybs/OT8s06wHlDviZ1TQ5ynfl5nDWXNZl1vZX+6azzx clqIH6zvZ7jG05dxjWedruh7dhv3a+22s13jOV9pj+U9oKzv32eG7gfUZY6v 4Ls4x1X0PaBcqH9XPz/L/dlWzmtgWwW/i+PL+65PzFAnyfEqoXsYsco7xrme n5rF+kcNYxuf8f7P+/AFbj8/9P9wn/1Kn38lt7MP9YK6QfwO9zPWU76PdYs1 a4/XUWyMXxzCeEeviWdZ1XfFOc7/FSEMVPb62U5OXBbCFPd6ps9ng/e70P4q 753+asecp6rraDXHc/zeaidoK7FFvSe+GM9HXNN4m2/M1zPu2VbTmktMEVsP ZyWY7uT22tbiecYf6zTxx/q6wL6u11/P8Z/8rjqOqdG8M/G+NMwxz5t1vqnf yztXA7ezZvC+whqyws84B+8gDd2+2v9Tr67xuW3wuBvdp8j/T/I763t+nk0j nwn31MRrWOc1zfO+mnn9PN9GPv9dXhPXU9t8fNjPG3tOnlcz85S+uedpkYC7 kP5R06h35H5HzpOE4Trwg0M1YS/8vtD7hqP9yRAep8Ovdd5ro71GEg+2wl4K 1ckj8AWhOrMb/sOQJoxB39UhvayO+Jok7h5ifkJ1rCXa7gvVgfGIJ4e0fwP8 PY73w38UysMt6DMhVGeaIR4T0trWiKeG6kxjxKNCWlgf8bAQJ9shnhGqJ8Wc 25j8NdonherYevhxPrer0X55kn50hJ8V0owP4N8PafDv0T4oiSMN4UeE9KAw tL7/f4+G8sE5R4fWx7V1Rnxzci0MrYNreBfx2CS97g//sXM3MbR/7n186Fx4 JuPYFrpP/A7xH5K0oCd8j6Rvux6wLeY4ax3vmqw7u4i1UF3qgr5dk3SqL3yf pG/B2d4/9z4zdI48w3z43kla0x2+W9I33x3wdybp17RQbpiXy/g8SY8ugr8g SaNHkiNJejoBfn6oprWCPyOp1nxNXIfuMe+Fzojn8yBzbj7eCp9vPWkNXzGp pjyH+DVz52n4TebOK8RCqA63Qd/loTvKZu7HPLoV7Y+F7jRt4M9LqintqQNJ NeU2+KdC95i6iBeF7lgd4Ksl1ZHHEb9qrWgLXyVJkxvAPxK6V/0G8bLQXaoJ 4iWhetIc8dLQfaId/KVJNY776Oq9bITvEsIh99rN+x0AfyBUK+YQR6F7DDE1 17g6mzlJqsP3k4shXSmLttJJGk2s8y7yg3WbdxLeB5gD3i2Ou419WI/Ox7hz ku4Ca2C9Q5hrj7ZnQ/c56soz1hau6y2vbQfzH7r/vG7sErds6+V24n2bMb8d /iHYUcSr4Acn1TPy+3lzvGdIj6hF3N9K73FFKN/MdSc8fyF0jyxM4h7PZ0pI p6hRvGPxnfymZd8OSf1fRNw5SQ+5v7ZJe6Q2bHRehof0iFq0E3FBEu+Ind8m 4ef2kP5Se8vBl0+6YxGDNyXhkBj5VRJOToE/Oek3xZpJmCPeiOVWSXi+Igk3 xMzQkNZT579nPkP3+B+Z49DvlAn9T0r6vqJmV7Vuk7uXmL8ZfKmk3ywvTsI0 8Uws10vC85BQjWF9uTaJM+QLNfVK6+p3sGOh3ztZW2q5vnwD+zb0PXB3qMaw vvwEn5f0vUQ9+NSa8BX8l6HfYofh+dCk7wDWENYV1hHqzYXWnLtCuslcsrY8 EdLSBSENesM1s4U5Qh6UMRfIlbPMlyHU9dC9gLw/au5/Dv9F6J49KFTzWO8q JOkaNe00zpf0G/Dp8C1D2sU6vNg5qpykO9ScT+APh35XpjbckKQPrKUHPT91 ommSVlBTB1pXz03SROohfy+/Pul+MQB+XeiOeirXkvQNQO5WMn//B4+ZFDA= "]], Polygon[CompressedData[" 1:eJwtlnmw12MYxW/f521vLCENWYoiJYxlMJcmdzJGlGIYplu3e6N9Ie1FQ4ul bBEy0YxmSJTSIhpaMbJFq0r2FCWtJOVz5rx/nHnOed73+/2+y3me369x5YBO /YuSkpLJIIGKKCkZCbmUOJWBOvBa4G14bXJfga/BPvRroBlj54GTyXVDbyEO BP/Bj4Bu8FGMX0Gchu5IXAb2wOeCixhrBSrhDcn/o2dBAm+RW5O/qW/tBGPg fcEf8MVgArwf2AX/ANwCr5281vXoFvCWoEH4G1OJA8Cf8C8L817hdys3iLkL 0b/AD4Ch6P7o3fBWYd4D7Cicu4fx7ujt8KYaRw9Lnvub9g+vgv8KP4e4FAwh dyHxI3LV4B3g6+A1iO+BF8Hewt84gfETQV1y5eiT4N/B58Hr5bkvhfeiZ/oy fjd6Nfx87RmMJncV8RVytxLrJz+7AX08/DjQufA3dJZdwPeFz1RnXQ62Fj7z 05l7GuiitZE/Fd5Q7wjnGsObgProCnQj+BnJc7uiG8BPSd6LnnkVtNYc4nBy Z8PPSp6rd1wAb57sLd1hU/i5ye+W5/qE96S9/A7Wwr8BM+B/gcvlPa2ZXHf0 YOKV6I3wd8Aq3UPYOxPBxYxdkuzFKvRq4mfZD9PBRviU8LsPghXwlWEvjgGX qXaSn9U3O+luwf7CZ7wD3k6ehh+V5+A3qaZUhMQayR6Wd2sRD4GbtSd0Qdym uwGbCnvgCLw9WFu4ZhaD+3lHi7DH9K1d4Fjhb97F2FPo5fCfwTPwzsl8JXgS fSf6p8JzKnTX4GN4E8YmgtvRP6KXFvZ+b/WAXAN94L3Ap4VzPXWXyc82y2t7 l9gyvMbpYEn47v4u7N0N4dqTh6uY3yO5tj5B3wB/SHVS2JP/5p6hXhHEqxkf Spxf+Iy0ln7JtaA1qRa7y0O5Jusm9yT1ojrEYaCU3LfoBVpP8hr0bT3zmPyG /gH9IXgA3Ra9Bb4IjNN9obfBl4AXck9QL/gcPAKfn2uxrdYApoHm4Z6pWn0+ 9wbV7MPgRtU8+n0wAv4EuWXyarhXP01cUbhny0sHQLXsqQmMzw333jJiR/kL TFGtoQfDvwh7W3cyClxHbjN6IbgWPpLcmaARuBc9MNnryo2Hzw7/VrQhjkO/ Hq6l1sRZ4FHQOPeUsck1r1ovJS4In4nOYlVhr1Um90p5bhBxL1gDn6Uah98H ZhbO7ZOnwmOq6dt49vHw3cij67LH5C3V4HPhGj6Y+/ucvIc2+UzX67zDtar5 dzA2Kex11YR+C+sle0W/iUeJRXLvno0uh08O15J6xrzwHZTlO9pO3Bmufe1h v9YWru031WOJe8K94A15gGeHhHuVPBnomsm9YQ765fCatdZD4BrGhoe9qzts jx4f9qI82w49NuwleVQ/+kfz2qvnXnIszNVTdHcdkr2iO6yevAZ9u2b4tysl c/2GjQh7Rl5RT1fvOhyuTfWwrmEPy7vy4MHwGWjv8uzu8Blo7+pZY5j7YHLt HAYzwh4qzTU+M3uude4JZfDRYe+qJpeHz0hno/8c1+t94VpVTfWEb478btAb vjX830UeWATfFPaK7lP/ZZ7NXtV/mv8BlNs7sA== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm8ltMWx986z16vNBlKKCWR6dIVF5kSmWf3mi7uvcI1JuJyzfOcqSgl pSJO0ynNdRINpMipnGanSSUpM01kfa3f+3nPH+us/TzP2nutZ++1fr/1nLd5 h04X3lIzl8sN8z8lrmulXG6Qyw4uf3F5OsvlXnS5w8fPuH7J5VEfn+3SyuVU y+WOyOdyl/n4Tpdn/XlXl//7uIvrbi4P+PgF191dHvbxWS6Hutzj8pzfe9nl cR+f4/JXl/tcnvd7r7g86eNzXQ5zecuvX3Pp7fKsX5/vcjhruFzgcgR+XI50 +ZvLDS6vum0/lwEuPV16uUxzGe8ywWWg1nvd5W3pPi5vyhZ/T/s657m0dumf xZqs9Y5s+7oMlh+eD9N84i2Txs8YlyEuQyUDZDdcz/E/Qpq1R7kM0tqjpZl/ lMdR6vpdXffXWjeniIE5Y+WDWD6Qb+4td5sql6NdvnAZ6fcmuYyTbZn2Zbhi eS8LG2KZLE0sU7Qe86ZKs6fv6/kYXZdprQqXpS5LXDq533LXH7rMkH/8zJQP 1pglTezzXD6S7ceyxe4TPSeWT6WJZY7LdK0/V5r5s/Wc8/+82nptUtgTY6Xu EUuV5uN/gWLC50JpfC6SZu2Zvs7HLsekeNcKxYLvcr3nMq2H/+XS+PxCtvib L//4W6Hn3FspTSyrpInlWPe32PUal7VZjNnnr6SJZZ00fr6W5v3WSxPXN9LE tUEa/xul8f+tNP6/lH/24Ltq9350Wa14flZMxPKLNLEcn8LmB5efqsW+IkX+ knO/ypZ4NytWYtwiTYxbpYlxmzQxbtI85sxIcRbsxW96Trw5v/+9YihJEQfx Zik08dZOsS7zaqZ4N+xSiufEaCk0PsHPLYprxxSa+fkUz3mPYSnW3VM4u1nv 1M7Hv7uu63pgijm7ufRO4Xtnlz4pYt3FpbvLdrev57qXSw2XnVzeSPEOu4JX KWJt4PKO/DUSxhPr7i5vpniHhuBlin2pL0wFR8G4ISneZw/hLlgLVs523dRl H5fRLqNcmqXgC3gD/qjw8Wcu7V32c9nbpblLS2nmHqRn3JsEPrjs7zLeZZxL C5e5LiNcOrt84jLL5WTxDrwEP50jrgC74R04BC45JAX/wENwExwFV8E18A88 dGYKXuqRBUe1En+cK+yHC84T58AZcCB8BRfAZXAdnHejuOeNLOaDz+AyuAW2 gDusBS+A/2A3WD1E18N03ava857SrIXvgZrfX/PgBs4J3ijw2NvV7Mq0bj/Z DtKz4VkRo8H98apBuKVUdqNUj/gB10dnRa4anhX5aZTiHiu7KnFMuXyP0zPy lJr7Ub7H61nHFBxWKn/s16SsyD3vZUW+maJ503QND4DJs+Rjiu7dmoJvwHfi AIs/1HozdR4FvpkpfzNkN0ZrvJ8VOQYfrAVWV2RFPligeeD5PMU0W3NGa43J Wpfn4Hxb4c/2rMhVcxQHOF+ZFTkGH3DLDGH9LPmcr3eolO/Bqm3qmrXA+aXy CbZXyRY8X54VeWVFVuSGdVmRn5ZlRb5ZqTi+1HWBY9ZmRY7h+rgUnLQ6K3IM 6y6W7ZqsyDfrsyI3/JwV+WZDVuSbjfL3na5PSMEf32st8JhcGigMA8uI5Vet i+9Nul4rPz9lRZ4jjtVa4wfFtFlzChwDPp+Y4szAaHznhL/Y5eWX+OCKbVqr hvCUtWsKo4kpCaML/ME1MZUI6wt8tjUrct5myQ7ihj7iBOxPSsEfdcQLdRUn 82oJ91mvtnAcnK+n+HsJ74kT7oBbSsQLDRQbHLST4i9wG+vO1RmTO/DLbopt iHKwlnC6s3jiFPHA3sJ7cP/AFJy4h2KDK2aLG0aJH5qKB1rqel/NO6DaWtwr 15oFbmmpZ6el+J6Bk8BG+Au8vN71GSn4YZHwH8xGWgnbEXC+8D3QWvhPnTXS 3rIWXNlX+kiNsYMv8Hm6/MBBf0/Rx4Oz/05xTU++zOUljeel6E3BmYtS9JXU 0FUprgs1hqYOLk9Re9zr4PrianWCJh+vSFE/3Lva9SWpmNNtlQ//cf0P+b4y Rd7z/DrlGLlVmYJ7m2r/22u/r3G5VHb/SpGX5GShryrROZyaojdgv89Kxf0+ OxX3+xztOXwOB7P3h+i8uusczkvFPT4/Fc/2Ap1JG70LmD3F9SvaO977Cu3D cu3/u9rLi7TPx2sP2c+prv/p0kT3Ltf9tlqLdRan4H76h3baB/btUu3j77p/ nfaEc+igM2KPr9ZZXKa9q6PzvEpnfZL2t51iuVbx4JfcpedYIg3PU2v/1dl0 S5Fn5NVNipP+ZKnmwLv3puhj6IduScHHpbLpKPsLUzzj/pwUuVrgVzQ8dlsK 3p0uG8YTsziH23T/9hSY0Fg5xLiZ1iUW+o7hKeywobe7QzmD/l+KWqaHu1PP 58q+iZ5jR194j96N/uyuFPb0f/Rq9IKscXeKcTfdu1s2z2l+F/m5S2uCPeAN 2EJ/SR+JLZjcNwUuP5iiByVXydNnUjFPuyT9vyILm8Ia92v/H9B8+ldy/6kU +U6tPJKiVuhXH0pRQ+T78ymwh7p5IkXdcG4v6uzghR4p6reTzo6eCN1VucFZ vazz6iqbwribbKgP6gg8gjPgEnBju3yQ52DbhTpPfHIfvqG+H0vqmzW3vnRP 2cBn8A1c87rG7Cfc1C8FP8FZr2lub9nBT+BLH62RaU6J5jHeVefTR+u8prWY C8/11zz0ANmD73AbvAYnvpWCFwfIroFi7aX9eEt2DXWe9+kcTffx83aKfgW+ LNX6jaRLdX+g7BrKN9esUcBE8PB08zPX/9/go8Fah757ZYo+eoXG4Bs9+So9 b+XzjrM4p8N83M4C21bKBvvPU/DQZ2Cy25xgUcd8h1Fv1Fprv3+yBQ4e7uNT LDDvYNe7+PVIHx/o42ssMKu16939/kQfH+Hjxj6e7OMnfPyIRY0RwwrFf4nf O8qCwx92fb9Ffbdy3dDnjvXxiz7uYlHnfIdyj29GMIUeoqliHql79CdDU/Qo tX3eDvnoP4bqGeN9NJd1ylL0KHyz19aYXoX+gr5kf9mOlj3frRN1f7rLGPkd I5tmshsnP+M0B3tqENz8E09dJsiWZ+XyOUH23Of/r6eZckDnXaoeA26jZtf6 83UWdfCV68wi/8lfcpycr+Hr1LLIn719XD8fGLzS731pUTdwBXwAnqzSOZFL N+sZvLPKbUssanaD62Tho8p1TYta28aeW+T5D67Noo6+d/2jRQ394nqTRQ18 43qjRc1tdf2bRZ386jpvUSMF/iO2joqTuMA4YuTbjr6yUvmAnp+ijyHHFyjP 6T8XpqIt471SfHthV6E6Ym+pkY81t/CcmmmjtSs1F4yGo3sIb5cpLnSVxnAX NdVZ+VWmPKySPecIby/Wu67SM2K4QevTRy2SDb4+8b351AKvp2GbombxMUJ5 uJkcsHh3sORU5VId13XzkfMrfPyFBc4ucD3PAq83uexiwRG3uL7Ror+Z63q2 BfYvdb3QAms/cn2sMCfneo4F5nP+3yoHOM+fdKbkyGblyY7kVV7fFT7+Xbm6 3aWjBa+RX0uUY71cd7fgUfJxuXJyjUVOk8/rLWqDumjha29J0XPt6+OtKXq0 Wj5O+cCGeq53zMfZXODzjrHg4Vmum1tw4jcuPS14/25it+h5M5+XywdGf+j3 9rTgyRtct7Hoa7dY5D05/7NFPVAL31nUAPl/tQXuc0ZNXc+04OztFrVBXezn fral6Cv38HvTLfoA6n61ap+6/Fq1WcP1fAs+Jf8rlLcLdc2YPJ+pGjlG1/TJ /L8O/D44RW6DXRP1nULPXeinqY8l+t75IAU+tdf6zeWrUnXHN1y51kRP0vgj l/dSYOECxUA8fGPyP8HGWos1wFVqm2eFHnOWbIj3fa1J3U1VXVyrOmF8ve/H hhTnu9FlZ4uaWuPjiy36z0N9n48UNx3ien8Ln+tdXrbg/ZZu81uK/v0esDTF 98/XLi9Y9HtrffyQRW/5lY8ft+g/J+qdC+8LvrCP8Bi8Qv1S0yMUM7wHZ7TQ Pk3S3Gd9vSct+tp1Ls9Y9Lqv4NOiTyF/2yqHD/CY61l8Z1DfTVTjjfz+YRb8 M8H1eIvf4hr4/UMt+G1PHx9u4X+061EWv6FNcz3V4jc66uZ61c51rq+1+FYB P24WhtxEjaf4DqI+LlONrFbNMB7g+k2Lnhj+f96iB6BG66hOee+n9e4H+b0D wEQf184H94OxR7u+z+Ib3fKBNeAMdZ9X7cOHLS048TmLfWQP6QPoGfhfx1MW 58fZEXsHi/jLXU+y6PtvBZ8s/vdwpesrLL65h7oeZtG7D3Y9yOJ30UstMAU8 +XOftFcNXDfLRz5fzllZ1Na7rkdafDM8apFb5FVdiznYNwSTLOq6vsU143fA D4seHU5oZlFfD1jkPTlP//WgRQ92u+vOFt+Uu7vuZPGNTk3cq7poZIGDYOAH rqdYfKsMBNssfk8mB7spD8e6HmfxvTSZPLL4jZfaOkP11dWifqidnX0PDrKo A/pEahK/b1jULTULX1VacBa8VGHBTbe57mfBq2BzTeHz5xb8BDftZ1HD1O++ FtgKrraw4Ak4gr71MYveFa5bbMF3vV2/bvGd1tgC98H8HhYYAT408TX2ygcm wlevWnDWIgtc/hOTLXgOjoOHl1lw8T4WvAVnDfdxmcVv5nAs/T08e2A+8p6c P8miX6dXP9Oizqnxvj7uY/H7/PEWvT59fnuLnp5+/kSL7wS+Ef4AX3Z2OA== "]], Polygon[CompressedData[" 1:eJwtlnmQl3Mcx3+y38/DaLe2su2uQu7U6lAMkxxddLclkcQWGakkCaHoQJJV ERaVJEkqFEW3MzVhwjjGMWQcE6noUHi9571/vOZ5f57j+3yfz/k0qhhRPrxG Lpergjx4LXK53SmX6wEPwGjsW2AYejhcgj41y+U2o9vBc9jPQjP0vbAQvQCa oyfCTnghrLtCOfoEaIPuDy+i/+TYDSbBLniFc/dz7A6vopdBy+Rzk9CTYQx6 OhtugS5iPyuxV8Hj2LPgUa6Nw26I7g8D0TPgNHQXuAK9Bc7Xfnh+E/pcuBl7 JNyAHgpLwnvSXu6Djdh/czwLHoaXsV+CFujJegd6Oszk/XdhN2LtztXv2whn oOtybjl6BTTFLsP+THuF07FrYy+THxQD+SL8rbdjj0DfBNejy+BMdAn3r0av gSewnwx/+2M8swG9DlpjT4M30WvhIXQruBJ9HvRBXw210dsV5+R3KBde59yU 6pxQLJaHc0MxWYP+i2Ov5DVXYK+CB7W35FxYFI6tckK+Whr2pXx2KfpkuAh9 FVyDbg/90IPhD5gXzq0uMBB9AfRFV2jPehYuQw9STNCVMDY5BtP0rTAjz+em aG9hX+rcXo6jwrGeg72D41PY4zl2hir0bLhHsYOnw+ekdc/qsE/ly6mwB94K 655wHLop8dmG3sr6vbFPhLbyPawMP6N75bMx2LcqxuiRybF7O5xriuEbYR/L t4pJH/RJ8gl6QHItPg8TkmtypmohnIuqiQboD5RPygXs49EDwrE/J/ndxyp/ k/fwTDgG8r18UMy39OTce3oejsbugf2u8gTqYHfHfke1m1xb+6u/XTWm3pHP 9WOSe8hgdFd9I/pa+Bf9HyxE14ca3H9YZr0IPuXaNihQrkMBunHmWlaNydf6 Jn2LfH4nujhcKxfDEVw/EhajS6Am+qjMeolyUN+PvUG5qPhpPViavOcm6Frh Wv0ouXbLwr1QNXxbuOZV66PgV+zfYC66LvyO3hHW8+Bj9CfqWcnftEf1BPPl W+U/emf43nrJe9usmCbv8Vv0N+oZyk0oVWygHH229ojeCvnJ79iE3lcde8V4 C/aH4d6nNfeh94bfvQAOoQ9CUXJM9qMPhK/p3I/oH6AQPRu2o38K6zrwC/rn sJYPDmf/eZljWSyfce3zcCxrwXfo78PfojW/RH8RvlYFu9G7wr6Qj75Cfx2+ Jh+cEo6BfK+YZbwrMr9LMc9HF2SOdSlcGJ5JmkXqKcrFwsy9VzmpXK6XuVcr p5Xr9TPPGuW8aqE0c+9VTbQL17hqWz2pEN0r3Etm5bn2NJM0i1SDHcI1rNpV z+sU7onqhZfDP8k9T71OPaOveh10Qley3kTVOjyS55k4PzxzNWvVAyqwB4XX qqk10f3Cs0E9/kB1zivXNZPHq9fB6OQ1Dyb3WPVW9ZhDyT1avVk9W7N7cXj2 aYZrtjYO17LqsQh9B3RUbcL7qv1wbvaWT8M9WL23UjWGL1tzbh16rdZAN+Dc +uQZPlb+D68lH2j2tQrfqxmo2dkk3Hs0QxtmfqfepTX0r9Ay3Lv0z6BZ3Czc uzST9a9TEt6L/nnGoe8O+1o+aRP+J9K/kGqsbbhnq1drhs5FzwnHWv8Q16G7 QXtpuBE9NByLIdAcPSR8rUPyLF0fntWaqcP0rvC9qmGtpR6k3qM1/wdJWjKb "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{51, 1, 5, 9, 13, 17, 21, 25, 29, 33, 37, 41, 45, 241, 232, 233, 231, 235, 234, 132, 237, 238, 236, 240, 239, 133, 243, 244, 242, 246, 245, 134, 176, 248, 173, 227, 158, 225, 157, 226, 172, 224, 156, 222, 155, 223, 171, 221, 154, 219, 153, 220, 170, 218, 152, 216, 151, 217, 169, 215, 150, 213, 149, 214, 168, 212, 148, 210, 147, 211, 167, 209, 146, 207, 145, 208, 166, 206, 144, 204, 143, 205, 165, 203, 142, 201, 141, 202, 164, 200, 140, 198, 139, 199, 163, 197, 138, 195, 137, 196, 162, 175, 136, 161, 135, 251, 250, 131, 193, 194, 190, 192, 191, 130, 187, 188, 184, 186, 185, 129, 182, 183, 179, 181, 180, 189, 62, 51}], Line[{160, 178, 252, 177, 229, 228, 230, 174, 249, 159, 247, 160}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{254, 253, 257, 496, 487, 488, 486, 490, 489, 441, 492, 493, 491, 495, 494, 442, 498, 499, 497, 501, 500, 443, 482, 592, 473, 485, 461, 483, 460, 484, 440, 256, 255, 254}], Line[CompressedData[" 1:eJwl0lszVXEAxuG1t+gkOmwplcgpRSFKqcgp5TT2lFOocM2VG1/El1GIkswI pRop+RIhRc8eF8/81nrXuvjPmpXZPxwdCgVBMEa2iwgjzFMdDoIaKnlAFR/s 9/Q+d7hLBXP2cr1NGbe4yXv7DS2liBKKmbVf0+tcpZAC3tnz9Qq5XCaPt/Zs zSGTLC4xY7+oGZwnnQtM29P0HKmc5Qxv7Cl6mpNEOMWU/bie4BjJJDFpP6qJ HOIIh5mwJ+hB4ojnAK/tIQ2zG/uwuqev2OYPv9lik3HavLOqG6wRdf9d/7LA Dh/5xw/qPF/UWl3Sev2pDbqsD/WTPtJ1bdTP+lhXtEl/aYt+0Wb9qq36TUd5 SjsddNJFN8/ooZc+nvOCl/QzwCBPYuejNLT/X/0HawU+DA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl813McwPHv1qRSIblCWYgiRyKUVCorKVu712TdyrZC9zZNW6KTTjmL yVWh+1J0o0hJObscHRQdSsjz8/DH8/f6ft6//Y7v5/v9Lb5LflJeTBRFSR4S ykVRx9goqqsv8hN9+Zbv6E1btvESH/EhiZwVF0WVqUAlKnK/eXk9k3KcQRwd zGM0ln8dR3pa2/M3/3CSU/zFffzJCY5ynGO04xCHOchv/Mq97GM/P9OPX3iE A7zMHzzK7zzGEaZzm+/SXxvpAL1dZ2gTHaSNdbDeqWXaQgu0uRbq3fq6ttIi bamPa2udGfZPh2sbLQnfVd8K56il4Zx0RNgLfSdcD31ak3SUJussTdXRmqJj NE3f1Qwdp+k6XjN1rnbSZzVLJ2i2Lgh7oF9pdx52nMtD9KE33cx7aE+60j3M wrF5jnbhAR6kM72o47kN7qPplDGTI7xg/gWfs5mlFIfP03ymMdz6eX2OJRSF z9Y8BoZrQB5TrX8Mrwv7yzC+tv6GXnzGFraykclsZxI7WMinfBLOj0309x6L wv2gi3WArtQpFIZz1Y+Zx0jr+bqCiRRY54Tz5j2etH5fP+AZhoY90vXMZoT1 HF3OWIaE/dN14T4Nvx0Sw2+Fp8zeZnDYa80N788T1iN1LWt4g1KzN3Uve8Lf kGCWHa4vw7jHulhXs4q+1v1oxlDrpjpE79JXtURf093sCteBO8w66U5+4HvO M6tGR8d9WMYrfBnuX6p67myqcC7nkGx+vl5AdS7iQlLMa+glXMxlXEqqeS29 nJrUJp408yv1Kq7g6nAfkm5eV+txDddxLRnm1+sN1OcmbiTT/GZtSANu5Ray zLu5h7PIJIN00kglheTY//+H/gfseafJ "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1162, 1161, 1350, 1508, 1658, 1558, 1657, 1559, 1659, 1590, 1838, 1591, 1623, 1622, 1510, 1662, 1663, 1661, 1665, 1664, 1511, 1667, 1668, 1666, 1670, 1669, 1512, 1672, 1673, 1671, 1675, 1674, 1513, 1677, 1678, 1676, 1680, 1679, 1514, 1682, 1683, 1681, 1685, 1684, 1515, 1687, 1688, 1686, 1690, 1689, 1516, 1624, 1625, 1593, 1641, 1509, 1552, 1648, 1647, 1560, 1660, 1592, 1352, 1167, 1166, 1165, 1164, 1163, 1162}], Line[CompressedData[" 1:eJwl08dzTlEYB+CT5EsighmsECXNyoxuoXe2go0uNkaJ0f8YJbroootOdKKX 6CW6kK4GzxmLZ37v+5577zf33PNlFy4qKEoKIVRTkgihmAGpITRxLi2Eck5z ljM0mp+UpzjGCY7TYH5UlnGIIxym3vyAPEgp+9lHnfkeuZed7GYXtebb5Q62 so0Sasw3yy1sYBMb+Wq+VhazijWsptp8rhzIBNryxWydXM9ilrCUb+bnZQeW sZzB9EwPYZC8SEcu0IlLdLaWxRT11NhzmSza8d0zr8gurGAlQ+nlniFyGtPp Rg+zrrI9P9yXox+mzuYq17kWn2U+Q/50Ta46R13ACHrrh8uZ/LKep89VT2QU ffQj5Sx+W8/X56knMYa++tFyNs3Wu+vz1ZMZRz/9WNlfjpdzKOSPa+fLBcyj iIX8Nb8hb1LBbW4RuMs97vCA+yRRySMe8oTHJPOM5zzlJS9I4TVVvOItb0jw ng+84xMfSY1nIp4BPsfzFM8OadRRTy2NNJAez0X8jjTFPY/fhhZx/+IexX2O 7xn3gIz4DvYmmUCCFFrG35DppJJBCzLNM2WreA1taB37eNbsXSbN/os1VFFJ BeWUUZr4/3/9BwvJiBo= "]], Line[{1349, 1312, 1316, 1320, 1321, 1322, 1323, 1472, 1589, 1819, 1588, 1817, 1587, 1818, 1616, 1816, 1586, 1814, 1585, 1815, 1615, 1813, 1583, 1811, 1582, 1812, 1614, 1810, 1579, 1808, 1578, 1809, 1612, 1636, 1577, 1611, 1576, 1834, 1833, 1550, 1832, 1610, 1825, 1656, 1574, 1807, 1824, 1823, 1556, 1549, 1831, 1609, 1575, 1581, 1837, 1580, 1557, 1551, 1835, 1613, 1638, 1637, 1639, 1584, 1349}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdVglYzN0XjlDCZ4sIFSWSIp+Q8CYlQpSlqL9Ki7XSSpaEjLEkKSVaLV9F WvBJSmZrT/veNKZtmu03vzb0lab/5D7Pfe7zPvece855z73nnqUnvGzcJsrJ yRXL5vg6udlv0yZVEpYHl+o6hP3E9EuHU6pWkdhprGVUo/MTHJ6Pcv9uEvNG Q4YfnvmBIzn7fh52JzGXE/K1NWcQp428B2YFkwgzKL48df4gXq3W6NoQTcLn 7Pa2zKsD6Ovs57W8IcE3c2TEkv2objWssskjsWFAcKfhQj9wqtKUW0pCJXfp 5dYp/SjpeM4JayQRoBBhqxLbB5/1hRKPDhJ31yf1TNnYB79m+fMUEQnNRyNP DRt78fnqhfnd/SQ2FYVcNb7SC6MFnh80fpF4ZxIYMra1F5p3PPNChkkURUnu ExN6sU07bcO8URInByRj1WEyO972ixukJIZOrX+Trk5i9E2gXdmYLL78MTre SxA/ySeKK8MovjE5IUmCms4U+14ZzrdJ+z7/oQSbv0WkDcuw0TbGkuQgCc79 lRQ6JsNrx+pD93tIwOCvyB/HWSNMUeRZCW4uq+KO40av+bdbTkuwnvP0xzhm MmmOGqckaJK783sci23O2O84KYHcn9EL9z9Dgpy91D/7Bw+d8bjjJkGwUswf fc2erzfTXCV4FV3253yVKKXK/hMSODVr/LE/c/YDWyNnCfz6Y/74965865Jg RwmsV/5OH/f/xYtlvQesJGDnmZ4dj4/yKMnHaKsEkU/rCsfj9xM0+Rmtlun/ Vi0c5ydP2aTowCIJ4uA2q0DGHztrZDQ4k0CS1G1e928SbqoHo013ExiSehxe K+PfJbWYdbpbDNOo4e1vfpLQ9i1I/RYihq8Zd+sxWf4OOW/V2bVCDC13touD UJYHnYakqAQRRLGLJa+4JKrrJRx9NREe7Ju627yexHTz9ODXz4V4v7Yqflex jF+/0sdpq4X4wdRu+ZJD4m3tB29urgA5EcLkd6kkfBd7FgztFyB9INJq6CGJ JWv093rS+Xh+zaXnkT+J/UcmG+kY87GzhDrvlS2Jzo51Dg/zeuB98WDKgY0k +qIDa1TNe5D8rSLuozIJT5Jo3VfHw/VdfK1fpATpGSaTck/zYLDwV7xBiQSr F70Nl07i4bT9p+a9oRLw6lQTui53Q613PSd7nwTSNHnXS6NduDnWRi9VkqAj LFbcTe3CihLIt7AIFJho+p1c0gXLIvbdDVcIXLHxtTn8uROzpjan6RkQGJMW pSxw7IRuzoju1C4xvntnvVo1rRM5O3LFk4PFaHG0jmt/3QHDzxSVZwvFOKxm IJd8qAMxc8pMzLNEWJDpNCNXoQMrf3yzumghwsn3Z1x9me2wsvrxOoEtxFFb O9rG2+3YRb1+Wc1biOPqrbuv2bTDcHlH1/7JQjxxtnSs0GpHzKBbBjVQAK3r pt2WA1zQ+wdvekr40FVT+TmxnIt5fvL64a58OLdlP12bzkWAkxPXg92Do1Vv Zy+N4eL2js+Xzh/pwRM5uziD+1wMqXytHqzh4V2fE6ecwsXIDO6ghQ0P9Rnq 8aeoXLQ0n36rktaNzGbr5SGRXCg9vc/Mn9YNAbNwzdhrLmibt9wO8+6CRchs g9pSLhQ9Tul8beuE+78l2Yoy/9QrAzinD3SCop3u+WFZOyzFy5OjSjpQdK3s 96BdO5KoP/I37+5AJq/hZV9kO84+OLrS+3k7TlKk5zLIdmjyNTqcFdqx0Eag Q7fuwOy1/kGUC1zkhbxjbMjpwJ51vVMpXd8R8tfCMROtTrj45x1lExwoZ0f0 GIZ3onC4TTFzKgfFMxO3P5Z24uam3HPxG9pAPf/k7PSzXWh5Jr/N0peNjeZm CoH1XZC7WV3LTWjFz9CnH0usutF3ge3vwmkBd/7fCqWMboR6umcSq1tAX1xJ TVzLgwn/lgXzTjNaz/87yozmga3s7GY90IS6rKqc3l88xPlMUtU/1YRSjgVj sXUPRnKi0uf3NGJK0Fj22Rc9YI856hOejTDcxzuuSfagqKs26F9pA8Kqd+xL Ws9Hatils5MSGuCz0eNFqicflufvTo4ya8Bqp6Wp21/yUdKaeVwgqcfMdS6z GPV8fLCfRLkfV49mZu6zG/IC7CkaaFI9UA+1RXOWNekJEC8tCzCeUo9V9Eq9 uYcFEK+41ZTwtQ6BS+pUr8nuFcHJvT/xSh2MXJOfOD8TIO/gU4PfqAPHonxx 8icBgm1N7LWm1OHabNVY7ToBmNbFew9V1CJ8oWXnVIkA819JjU4/qYXB4XPV AVOEsNn8uXKHay1WZsk/DlsiBG3O+dIig1qY35fr9flbiG7zqJhWuVpsmeEf tGWXEIX8/YnJX2vw3G/mvEMuQtl7Z1OmX6+BVkP2q5wrQlCH+5RbzGpAmuVs jo8Uojwt8FG3Ug3+U1Os0n0jxA2VW4OKtdU4oaX1PwpNCANqot6yuGqEG677 Ul4nxCzvCF9l12p8fu9VSAqE2J3krqGqVw35aS+k8lIhfCfJnZwzVIXw0Og5 mrNFSMnQj//OqoLHJU8lF00RMgqlte4RVSiMuc1vWC/C/hEX3zAXmfxQj26Y uQiWLIb/DO0qONw2M2o6JsJW9YiRDQ2VCMvPSJvqJYI9ayxhkVsl4mMTU7fc kNVb49WcwKEK0DociimRIsx71zVX6WEFRijphcOvRHh0WGHqPd0KVH6crpT6 UQQG9a02vfQbngnqlRILRSieuKnS3+MbbgQ+/EdcL0JWXGJVwNxveN5MHH/a JYJxut/mPVnl8LNYZH97UIT8litZ7Tbl2PmWdoApL8blZVXPJwyVIf9MkOOx OWL0JTjNvpBYhmRTzUBbDTGso0OXzNlbhv69qbdZemJ476V6jfaXgrY24h7X WIyq8ntl5nGlqOgoVnfbLQaLEsvPsSxFiU71NIcjYqD689HVIyUoams2rDgh hrFuwirf9BLUW2R9YXqK0a5osmrFnhLULZLv1AsSI1u+e7mruBgejY90au+L 0aYWM6s1vBgsov0446kYdCeWpplxMe41/1eumCLGAzUdheP8IjzU33763Qcx Bp4PpGvdKYJJxPfiNUwxfpxL44XpF+ETd0WQsErmH/3ZPcumQtg/kk/va5PV aW5BngKlEOlX3OtthGJo5MTlX99YCIdDk5eq/hTjcyNnZaC4AN8jw2NtJhAo N/0V+aSmAO+P7Nq5ZjIBfc2Zmuo5BWhh/bw3okiAuHXSXymxAFRjenP2dAJy mfGmdrcLkPlfZbjrLAKa0sUHp3gVICBaUXmiskz+zJqIixYFuDjHzrt9IQGq Q1pil0YBrCqLr8eoE9j9RRq8fYSF4BnsQt3lBOxOXn1NaWDB/N6D9JhVBHoT g2/qpbBwNdq89Lzsn8qiiuu2XGZB1poVzNxEoCLar+7lfhbY22qMA7cRyBSm vzyynIUtTIWkDDMCO0xvZDd2MZEVs8pL04qA+MCFS1uTmViQ3W693JbAQbnc BrtzTIz8RfLzHGXx2k17JP2biVdXRZv7ThJ4oh40U0HKgLDGNqPYi8CpT3rB VCEDdwVl32N9CPjEfYyzbWTAauu73W7+BMwKeRk+LAZ6q7ZtXHaRQJpz+PSm LAbURSxR7SUCfNpAIj+OgWva3y9+vEpg8ZFj9vvuMnBJM+vI/WACvnJrd066 wMBChWd1h28SOCKhXp7mykAXuRVzKQSiZiZ/jVzDwDGa15WXobL+6K/RIL9R OuihEQvYkTL9bQvYt77RkZMaVP/1GYGV8Srd/yTQETnMkR56TsCf88bpky8d QaFMv8QUAn0HfcsnHqXji9++Cb5pBLbb36GNbaPDmS1Ypivrv+R5rnUpy+kI KHvbXPKeAL1XIvk1nQ6f4RMqB7IJrN/rqnJolIZ/fp8yvJdDYLOBe3kfQcNr z2XpebkEFKawH1dyaHC4Isnt+kKgbOIGBXElDWw57yh5GoGOc78oink0WGhp HGhiEHAfXmcakUKDps6P9tgCAn8HHPtNfUzDo1u9JdbFBF7fnRDDu0GDL70k +FcpgZcZPYYvTtBwQ9uTd6+SwP8B5KyuUQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdkgs01FsUxhPlXXKTUimh5Op9Kb0+lyj0cKVSlKQUKfIooSgqpFEqj0KU pFTeUkljUAajGcazEYM8Zv7/8RhjUsqd2mudddZvnb3Pt/d3jtYRT9tjkydN msSUrN+7rP3TXsNgMaynPV3sGD2KwR9HtAwoYqwJc4tbMypCWmfeHvVUMeY5 BNhdWimC4wWdhJW5Ymy8rPau4NwIkk8abAkpFaM8l2IRUiWEhu4CqzSGGOOT 3L0tjIWQfUm96t4shvuSvktJWcMIZb2gNHPFWNjVurvXYBgzI+f1CvvFaGvK 84rLHkJ6kaI8bVCMW5vU0leuH4JrlcBl26gYeRMLRkzpg1jydNHZU2Ni6OYc +Ss0aBAy+gIb4Q8xwrgqWQarB9GdLm79/FOMq2kXHMzYAzB+YPNdb0KiF8Oc F7VtADe18u5wJLyMwXafoApgdcaLw5PwQ0Xp1s3PBZjr/be/SMI+MbMYsXEC cLXfuI1LuNJ2q7psqACtKYO5ExLmz/KLij4tQNeRh/W/ee2TYl6YhwB1VuO8 37yFdL0a4C7ABPPXt9+sXXbCyeuEAFlWz37+5sBlmx1OHhdg0p/4Btc/IUC1 8Omfc9+zVt7OxwTw5P38U1/ZEXzD8agAAb1jf+5Pk4/stD0iwA6T5D/6udsZ vpaHJfmn+H/6U4zevMXkkACm8vfcf/c/38g8YMhSgMLTZhd/z7fjSb7rG0MB Ys4WD/yef5+Cevs9LQFCZTjU3/74+qx/HaMsQJWpuo+GhEW+PPLJVRK/Dns5 ZUv8TV05ML9WmkRhdn5TisT/KA3VdY1hBHh3s5YLvolRak/fdEeeQEKmWdE9 kRg/H/tNb7/Fx8EVrnPcBsToNfO7fr6LB9PKdyqNvWIcJ+28HTbyEDw4lN// RYzgu/3eaon9+E9zrc5ztuT/aSksM53cj7IFSWG6dDEM1m/7GXa6D0ezsqQP FYvB9NVQiujoxf7jwyfvZIixa8DDYLFOL8yrXXLDYsTo6/ZaFn2mB5WWRXLm AWJ00N5f1Kj8Cl+W4AXfSYz3ti1NK5Z8hRPFpZdiJobcEvMhc0o3iO9OY1t0 xaCeKIjpGO8C5+TMBTpTxNhLWcOneHfBYNKBibz6UaR/LExMKOxEa+DU7e3J o7Bc/VV0TrYT91ru3Op1HcX1zBV2/xzl4tqvXf7KBqNY8Oqx8kh1B5bqiKJu CkTw2Zl+QLipAxe+FylmvRThgPPrKTI+7QjuT3r52EOE/OnrraSCvsBGZf/i RHURDE7PI0yd2rAzytRmMnUEr3ckJ8cd4ED8Y7DqX9cRnNA9qG3s8RnKAa2/ ShRGwJ3R+Z4S04oYJ7W25hdCTL7lZ7+kpgUz/Ymcvl1CEL4RqfnqLfBQtlUw HRrGgKLVYlnfZszjJJX9d24YQ7JGuqKiJtioRg9Z/RyC8PbVKxlqTYgo4Abn hw7BP9Qw3Sa8EUMfKXFTFYdwrfptjs30RlD/Lt2SeXsQnZpBr42fNmD7gU/G E/MHAc6LhAq7BvjtKLN+bDeA7ZeenatTaUD4qrmc79oCoJT2KIbBhuLMosak cQKjiiwFxzQ2Vg8q3DnSzgfXnW5nf5uNbeTpjT01PHR09YWOxLPB6KyTi63o x7T8FXYNeWzUZUqPFND7UPGdnlfTyUZa2zuGa0sv3Mkb+kydBnQJNtIvp/VA 5vi23g/3G9Cjp9zHCfuKnIxZautXN6KkaOs/w+e70dv+iqHZ04jbWvWWyqFd 6DaSCfAoaIJWn/Oz3Q864fjlq79McjN6YyanMhlc7L46rPUgqQUXFgZpXlTm IrGyr7gkpxVqRe5jV9d1wGtqiW6EBgduptoLNgi/4Oiog9A5vg0NbrohiUlt CJ6xie6h2469qfbJLh4cZLwcTCk72AHih71vv8NnzD4tSzHR5yLFvGDD6xOt CF8ftXS5iIulN6N/xkW3YCLK/8qHt52I1ciwj2A0o97m2cf4wC5k2bkTrAXN qJmYvTh5dTeM3n8uFYc2IUAmScOivRu3s+VUSsWNmPKk3u98yFdUPsvpuu/U iBsmGUXS//RgL3fhybDmBkiptp11aejBhuo3ZTZ+DSD3bFeKsu6FLsv70HGN BsD6M/toYS+e35liWvCBjaq3Yfdvz+pDhzdFavt5Nq49YWa0evRhbKl9zMFV bNB1TPSU3vThoWHogXWCevSbxKZP/OrDsgiVZ2ZZ9RAWs39EbOzHj+W3jo37 1CPUVpByzqcfKdeZS4c31KNbvfBReFo/nC9dKFklXY+dmbQrlvX9kP2Lk2LL qAM9VyGgZ7wfrNVp7ImEOnxzVxqftoiHUWuh6dCJOlzwTJt+yIwH1Yk7ef3G dWgwbnF3cOYhwqNOpUCpDobMb9IXgniQiwwcXMxlwXNEulLvLg8Pn2vZz3nF gvrrWPvCTB505qlOLYlkYZH+5GEzGg99nobLO51YYFaPzhE38nA9LJzpasTC IW6wjRqPh0yjqf+tmsZCWx9Bbf7Bg+e/zgX6vUyo76RP9VbiY8w/cwpKmagt +/xKfh4fO78I6Y6JTMjtVS0o1ecj9ctBi5c+TGw96NoeuZ6P/llSOsu3M9Hx rcUxwJIP4cQ9YZUuE9L3zbSf7+PDnGK9wW8SExlHtmquPcZH5PEgs81Fn8A6 KdRb7s1HxNzpu/3PfIL3q7iWlIt87M6UG1PX+ITRnK8e9Bt8OKjqDAZU1CLa Vi/VIpEPeV0Fk0CfWviEt0npP+OjqU/Ta1S7FlqfpL9cesXHBXDHaxoZ2BA+ SeFAOR/2q/cR3OsMGE3cO1XM5OPmjQp/uU0MnJlDHctq4yPkzpJ3twdrwPGL n2rA48O9NNvTNb0GHS9lwtaNSvpRCbQ/dqgGNlvSj3KkCLi/M5hzbrYkf+15 5nxlAtKuvJ+h7GrkV0yzmjybwIs9s7wtL1WjodbB0lqXgOOkikpiZTVWuDx6 rLKaQENJz+GtXVW46NAccmAzgbHiy26G8VVYNsYwXmlFwOjWQNLdXVV47LLm WvweAuuS7W2r5Kvw9JSq/ZXDBPS6ffcv+0DHlB8JPTNOEjgj9LdLC6OjLjnY 2syPwM51mgmzzOkosy/ZpBlMQFt+q/IpWTqW/dKe/yScwCqOjr9pYSXkq8OL lt4lUBLp+tjkRCUerIut0UklcCV2bva6+ZWYfB7jKc8JsLqqnSfYHzG6R1s/ /RWBrCdtbI/oj8i9Lo7aQCNAy2jIdVj9EY57Nf33MQnEm7d+YLd8wBWGxfrC NgKLVPZKXbnyAe//fuvvyiNw4Vf4fi3DD5jOjN3iN0pgOTfm3bG+CgxRaw4L pEgcXpBkOvNBBYxYry9ylEjk2Ay7R12qQO0h/w3/ziCxXOqnCuVoBU767Nh0 U42EQxwi1bZVSPyX06uaQ0K67PquBQYVKFUkYgbmk5C71z32RKUC3qGXp0st IqF6hhJfzi9HUEb27LNLSPQPNaWVfiyHaGiyfKUBiWlXtQ/HpZWjMVtL/9sq EtNDzNw2Xy7HZR92gexaEp4X119W3FsOfy+OU/gmEk73t+Xr/12Oq3JXMtlm kvpwi8AbUuV4m/z0u8CSRMoRW73FLWUoXrM3smUXiXMVKrt+JZTBZKwxcOZ+ EheZzNO5B8sw55qBU7sziW3sLOpfOmVwMRe9/tddkj/DeZ+YoCFz1DfA1JuE esrDdsMiGka5ciO950lELMp1jHxMg7SCqPZ+EAmP6aJzerdpUH4/dn1LMIn6 Lp3YaZdo8Kz97NV5iQRvxpSlGzxpYBTrFvuFkUDojF/FDjT8tzHY0OKaxC+6 ofDWNhoO5+esUYgksbLpr1lFhjRM3Fw1hRYl0a8eDF2mTUP+++eiU9Ekwkz1 lW4NlcJRdlXdrVgSlqEKdpq0Unx6bT7NJUnib57dvPw7pXjmdJfd80jynol+ hWvcSpEyaNSn9YxEUwSlJQSlsNgi9XJ2NolPtITUFN1SFMy2lq3OI3FjoZ/f KaVSsIx9W1xekdCSOaTLFVLB2iul0f2GROSrCoboMxV8Dbec7SUk7l50p/6o oYLi0Jl7mkoiTc6NhRIqAhMYsddoJLp1HqVSs6j4EnL8dlw5CfJyDCcolQoN 4jwn+QMJm++djmcpVDRF7pmxm07CeCR1fnMgFRasTrlv1RJ9tdi5D9yo8Lcf X0upJZEdxveq3EdFwPDzabNYkv8go1hiZULFTQe9eHc2iYmFBSm+S6kISlQq SW8i8T/MWs/m "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Hk0VesbB3CVKDeRUtLgpgl1b4lExTdFpWPKVEmSOVIqNIkylqH2Occx H44hOeajI1yljMk8JZJCQsi+EZHkt+9fv73WXu/67PVO+3me991gfcnIbr6A gEAR9f7XcmhWY3Nzc5Cty66ovHEGGWSPJIc9h7b1to9a+BZ4yc8tivOahWrU 1m7BsZPgPrt13Ul8BuJHXbVtfU1hI6hvc+TNFNzmdlbHLzHGDfb9Sr99kwhU 3My8020IaL48ZD4wDhWxZ5d05vTBNjvQG3DoG9QfrBdZslYPm/vf7I8a+4r5 HG2rCI4ubCsliPTpLxDhDMqf1dPDEb2z07zAfkwq2cgZiBpgftuYSn3QJ/gs 3U9P/m4I2fkdl2+Pd0Mh2tQ+cp4xjrUZPGA6duHw87DGompTxF/arfCHbwdi fuW5f7l5Cv4XY8VlZNtgsr5T4LSeJaIkDzfvV25ByTL5mKGj1phXF+ApLNWE nIJvW1WD7PCZn5aifKke625pbVeln8c3tW7zCqkaSKaPtOwKvYjoBr814huq MLrqXH+mxRWc+cy8nH27ArSOA0k9Ozyw/IrwnO3mMthFNKZdHb0JazGa9LRY CSymrN4vPH8HIZ2v2Eo1L/DG6I426D4o+3G+7zbnOWSM26wcFvmjUG6jwr+x RShLvdfS0RGI4AdNtl3PC2GjsCrsvkQwJCZv1FcJFECQbDynVPIA7e1GHtY2 T8FX93mpe4sOKUmB5NHffHQ+cuv3ymVC319mWiX3CfQLBi2llMPBP6q348Wt XIQN2Y1GLY5Cfvi1hZvMeZAOLjrJVo/FP3d5sat1c6D9MOr0SGc8fvkrrWUq ZmOqsvHvBScTcOrPuCS795kIKS7Yp9KbiMq1g8YDERkoYvwcVn2YjA5W9dsz NuloL3M26T2XgoHJXx6rNNJw2Y6juOdMKoTUlh0/LJWGOsvwsqqkVHTKZ3Ce jnHRraa2QXY4FW/V+Qsc67hIdL57VFuJi4UvV6w2T+XifNyAqrInFy5Xipdw k7mQsfeLDvLlwqRrInmKw8WBycA/PgVx8VUvsecom4tos2sh6gwuWDwJ+csx XESyfxoOs6jvUf89/28lx06ol0VwcZlbtPUINc7t0s/FX6l+8SnFahPUvM1X BSYOUPOcjE+xM6L2sVnX05f1gIvpobAEXjYX4p6meUPUuou0lo5K5HMhJW+Z cc6ei2zXu4PH56WhsPiJiNRBahzvWuQ53TR4ZC27IrqeC7mP2xdpRabh4Jyt n+bPVBSfjzoy05eG9fYdtzfXPIZQa1jXAW4msnaZsEozU6AaxNV+fioH0X0+ WXsSHiHW/ZZflWAutBb5HslOTsbuqqgd7e1PoFB6v9syPwnrnP4ZWt+RB0eb Jpf+eUloSN0m4RKdj7YSX5NA00SwThRksz0LcXRXr1QfLwHLKujn3O8WQWtK rTdxZQI0389M8dOeg3vwTy0XXw5cLv+eWf7zBVruTwdJtcSjjaZKWJ4uwVRq +4ANLw4zKu9cV7eUwlmYoTrCYaO8PMlH0a4cfzEvjAxyYqFg807eW6IS9VVC /MicGGTo21/gd76CU9jHeZoN0QjduvqHSclrxHAno5WzomAksdrHilELB1lF x5qUSGyRF6lJiG7A9nAHHVp+BLbw5vQDLjThsMs6lYOLI6CKAptTVc04sT5d 2sUxHHW5TwSzlFph700ECLeysLQ2Mcg58w1CJMZ4xjQWhKvUY/Yov4VTytkL 0XVhCJi7l3a9sh2mIvvWbDMPg9+RJd3m1u/gahebzh5iou+eWGnvuvcQMpZb KO7PhI8ofc/xj11Yme+yolqOCadNE6ZDSR8hrWN/au0bBjLn1Hsu8rvhpV4j YHWfgYfFW2gZrB4cd5ydmNRi4OOHiXSaWy8WRjZ+oQkzYLAqjJjR/wR6w8Zp hWd0VNRd73Jx68P4ybGEAOpc6xzMXagU+hmqTa6na3TpcBfdqvnCuR8/1HzL 2jfSMbqGUfpWYwBv4sfZqwToKA6/1FO0cBBblm9rn+0moHjz9e5vLwbBZDW2 ilYS6DGvS9Rw+YJaAcX0N1kEtvlZBD8SHYLzPqGzo9GUtemFpxKG4NDivnLm PgHJlNmcArlhiCw6+nrOg8BIhsrel/XDuPZDsmKXI4EUJyFfZasR3GNOp49Z EMgcGlza8mEEH1xlTPJMCHgZ3Hp/SfcrTn86VyVoQMAg5NG7D2lf4f3Mh+lJ I0D3in/waeYruNUBpq90CNy9sVVmi+YoWouCEmIp+y0NKN3uOQqtwR2OClT/ l/1/szMKRjF+oLPcUJ/Av8ZGc2JDo9j0TnW81IiAd3abvZYECebPtPiDJwnY zpmdGN5FwuemsAbbkkCjRB5hrUfit3JXO9eOQOz3wPJaaxJq+V3aR1wI1EXa i0q7kVD6Y3eWuTuBC7YqL8V8SDj17rCov01A406PnUEoiV/v50qIAAJCtdw6 i3ASnHfbs5kPCfxjpoEkNonCGO23OlQ8Jf9sH6clk9h/rhhqjwh4bK95fJlL wrXuW5VZDgFCo+/i+UySutftyqOKCCwKKa12zyExtC3OeYbK1/GMhrTqXBIi cXLuHs0E3LPEWASfxGFv6RKhDwQM38bIDuSRMDl5dl/cFwJrDJ9t7X9K4snn b7LaEwQE9X4vTcwnkTTNCpym6iNZSPmRfAEVj975/YVL6Ajdb3n1HmXdssXi /lJ0dDdEe7yifHHx2GrzTXTU+DVkf6U8w/xCU91Jx7uiaqZAIQm6ZmKSN6j6 qyxUWkBZnuRoturTUbDYN2ec6j/1osJ7tyUdEjrBU22UJ2KaPye60HG6JiE+ h/JVOZl1a2/TcS0qa78v5TYP6QFOCB0G1uk8Q8rGZ2peX42j6n9e7F4JylLV QpdMc+g4HNao0Uj9z+tql3ztUjrmbacXB1POMB4I1WqlI0S3ykWb8r+pz/uO 99Mxvyr49SwVD+GIBH7ALzoglpCUTLlhpcPeJgkGZNdmORyj3Lwh8IqiPANj fQxzkopnVmKfxWMwwKl3e8ykrH3x7swuMwbYBQrn91C2Sipf3HOZgfTNHrMV VD7yQoJZ2aEM3HE5QxpTrg56nxLHZWB8pdqxnickhmV3Hc6qYEAmgb/8IuXH 8x8XbPjEwG/euMwElV/7vSoVBQJMOK8pZt6iXFc363Z1PROVMRGu8yg/uThb 8UaNibWi+SMEj8TIyStrzUyZkP+YPiRDecA1zOu7KxM6dTedsqj6WVV5aHjk HhN5tRb9NMoXfORaZzhM2M+SC75kU/tfzt+/oZCJVCe5Mn/K1jebHXV2hMH6 6MbpeKoeLSItrvk8DoP03WZ/XjoJzTVD7p8qwlBMaw1Rpuywl86w6wtDqLGX cH4aiYKOvPpFC1gIajb+oUq5jPbMbbssC7dmNFoLqHqX8NQRuaLJwvvlibKq lB3PPn3YYcWCip1h79NUEp1S18tbFMJh0bzN8NojEg9KuybVG8LRwpMQak4k 4WZjQrtrEgE7q/rGDA4J77fbmno6I2DsaJruFUdCdqdfvCQtErR9gkL8WBKh 3U2B3KJIDFVqhXyKJtH6G2Uxf0VB1ePtIdEoEgonir6tq41CisjeGi/q/H4I P/FF3iUa9/dt8f/MJLEuq+VCgXgMvq5gBmvSSZRHHkkseRoDabMVM4wHJL4P D280CIjFlp8OmqrBJIKMWpbfPsVG7Y3qH3WBJP6e5Eyo7IxDvoOms4kfiYCl gnN2IvHQdPYbq7lD3Te5bsv2iXMwbLn47DFPEkY7J2Vq2BwIbeW9yr1G4n8x IN8T "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Xs8V2ccB/AISSpEcpsIKZFLQuJT5FbGlNSPqYZGIhKKSKVmKjRbKpWk y0zSpIvfuRSRRIXmzlQolfX8foSiYk9/nHNe79e5fb/P8znP0QmIWLtVctKk SX/S7dtRhp+eZSXPItZLY8GPGSMwcllbsF+LRcs0xauV7iNgb2rMfmHDQvLp HzsE3cNgYl5kTniz2FIwL+dZ0jBMqzLG3u9gMX3WxjchesPQ7q0cWp3GQi6j 7Eo+N4S+hJjTUwpYKPqo12f4D2Fw/OnnZQ9Y/C15fYexzBByU9uEY10sRnXN 2opvfcDiCD01v48sDupI6W/b/gF243reT2ZxaN1cvHBo9gccjTRp+MmEQ9MC jR7VmkFMjLYPW7lwEFe9XfkpeRB5tk9fhG3ikNXI7ml1HITr8IIzGtH0fFZw jsrUQTh9zs+1TOPg6dD53K9qAHmbZP50uMTBiH/UZ3NkAH1KCbJhQg6VA6Vt r9cNoNj204WWxxwaVk9Y3dEdQLKgen5+FweroFJGdUQMh9H23t8HOTSuTUku qBSj0Z6dGyvF47GzZ3rOKTEuulTmJynz8FtTXuOyUwyvwLjDnbo8Oize8bM8 xOhqPbb35mIe6VcOfTpkIoZd3u1EI1seZ3y6EhYriZHnVKIQ4MRj0hEbbvuA CO1X3C7FePCYz/h1pFWIUKd4vHe/Dw97nYaTVtkiqIbyy3r9eGhmz2Ol94lQ 6lohXbuFh024W9LrQBEMPEzb7LbyaNLzH7++RoQHK1OKVm3jsXlELL/cUoQj PkWDr8N4HLOyrg2eK4JfWNh4TTiPf36+I2WhIcKNGjMmfwcPi9TD0+fMFiH6 ZL3j/ggeMT8abZqtKMKea+GlXpE8VvT8E2UsL4Lb4Of1P1Pb232vVjxNBIkD br3x1Cdm3Pu6hPr6Wf/ADGrmtuxcoZwIfZbq509T3ws/v2IvdYSdXMtF6m97 O+pSyKsUUd8a48ImporQtdDWs5S6cp7/nnLqjrND7GPqaTMuFjlRt5EQtZfU grIe3RpZERQjzwcPUxdGjzd6UD93Sbfkd/KQ/P7ypyOTRXgfvtskKYqHZ4sL 0zVOcMH0XbjtLh6ZVjrn3cYINGbMnDlIrbL5ukntMAHr5Fp9JZbH4PamEPte gtP9rxKk4+j7q/QKpjYSqFXWHlLey+Pz1OEMxQcEW35Xvt+WwCPPMHuK3R2C eMnmK7776HlzD/2YAoK5u1OtLffzOCpW3hJ3iiC0v+JhygEe+wuv7k7/leBc TtvFnw7yGPF8HBkbT1B9Y31APXWw4I3c53CCbWmNKi+ojUecz/4XQPDwg0Tc Ger4TE9rHQHBMRMHs0L6vPxWGYtUd4Jp5gcszOj7kjNPZ0xxIFjk7npyJa2n 7GvJ5VU2BFVyhXfFtP5R2cXxH80IXjnpEw/aX61VlVWPEcGpyXdrt9H+03OP azUZEDwo737sTscnKia8LE+XQNT079ILNC/CgoyJ91oEgR/XNl6nebshzPi4 Xp0gwi3zVGoQj0/PTBPPqhIMqTVU2m7mET1TLP2bCoFiBXurXkDr7Vl1aboy Qf0z58M/ePNI3GhUNKREUKL2MKWcfg8hE5EiE2putO6kkhudv3+d8vIVCexd Xh72d+ThXkPSfKjv6spGX7bjsURKXcOYuuOH8vr/rHiUeyXbz6P+9/aufZbm PHztLr41o04Mcxvcv4jOp3Fd9jpqtZhV7vUGtP4JIn2I+lBnZ88qbR7bJ+NK E/WC62+DK1R5pNrtSrf8Vl/rvV53BR53A79Gn6fmvRYqdcvyWBkX7aQwi2Cf kTg0WYKHKGBR7WHq1qxme7MxDp9q7kSMU3+ncnwdP8Dh1z/KTNNo/xt8Kkt8 33II7IzZokXHR0W6K3TqSw6G/dbzi6hdrx2LetTKQSgqF9vPpuMfoFmaXU/X O4njG+uoc9t9vlyt4pCrreCXRMc7MkeXaeY4vAwqUTOZQ/BO9sY19RIOsXkO QR3UE+be6bv/4tC9LV4nRY0gI07bseccBw0jvbPf5k9HEP40KpNDmf6yQh0N gqV3BAX6KRw+lr1176c+JvDtexXHwUlJubBFk6BCvjOgOYxDoSAov4zm4X1m 2aqRzRz8Ojw8rnxH82X3XL1qBe3fa1PIs7kEYZnuJfm6tP8i3Tn9NE/C1TLi 1RocNLtNN+yYR9BgrhXzlf4fvJUcYsTUo9uM5pTJc1BsCd6xU49goSD9WqY0 B2efg84D1N1XZWYs/cIiLuiMxCl9Auug4sihQRbhJfObltP8cvq3Yp+8ZRGa IFf9nPpZ+esbNdUsxnTU1hotIGhU9gz67i8WQyOpTzbR/Mfprn/+8wV6fU29 3Bvqz+PT91acZtFgG9wasYhga1/3sEUmi+52A8cR6o2pnYqlR1goaL3y2GtM sL7G1jv8IIt9Lw1LZpjQ+ZljfWJZPAu93pCQXOqKrPwD2lEs1sTejjZdTOj/ aYnDRl8WZ52j+5tNCZICltT5OrLwDP7bJsKc4JLh3wJtYxbtyfaiUQuCyfF9 3jmqLM4pb8zebUnzeLnF8dBMFr+0q22espR+/1oSOw9NYSF7s939BLWawbo9 ORMMiiu+hOpYEdRNH/Ek7xg81FwkOG5NkO2189P7ZgYmDcUSH+j6oLov+jfZ ZwwspBOfuC0jkFHKzzN+wmBSqX3HeepMv1YF/2oGNsavTIepN/sI7mdVMLhb 2lXnZktgi4apKTyDY4pNy25RG3qffJpyh4H14Jok7eW03/knOk8VM6hIHMj9 lZpz0Ij0Osug9uPtExL2BOE1UvfaUhjoZ96TDQPB7w4tSzsOMmjfHxJbSf1I VnvkTSIDiQolec0VdD2cqdUhGcegS/PAwyjq2n3xFYbRDCqlEq5WUx9+lDXZ IILB14Fz/jorCWpke6aahjJolv7HKI7an1Mtdt7KQOv9X3PqqSW8ataHrGNw 6VSyq7wjQZf54PvFDgxSXlmR5asIpC3uDY/ZMbgT/NOGFGouKaO5zobBvb75 Mxuoz8VtiymypPebbVBXdyL4LTGlNMuMwRO/o/EB1L9sSlgpb8wg86hx1Q3q 72cuupBmyMB2qyEknQnSjl69qa7H4L7zl74fqJs1J7QtZjEoii3k97rQ5xuE +n6QZDCaEdqX7UrwNGFv1ZdxIcZyc0QvqO8LFLUVPgvh9/qSm4Ebwa6XX1yN PwrRdUlhKJT6dE2JofcHITzCpQaKqJfHFgycFAnhm+1DxNRv/eU7evuFkHmy 0818Nc171XDtsjdC7AqeJLWLerEgS276cyFcAtPnqawh+B+LdC2l "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.09499999999999997, 0.95}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.11499999999999998`, 0.97}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[0.975] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnGdQVVnWsDG0qc2xTShGVBQMjdoixxxRMWDOqc2hDWhrmzFHFFS0Wwxg VsyKyjUHBEQEiQqSBIRLxoh+TtV91vnqWBbTM/PWvPNO/7r11Drr7LXOzuuu vU3Gzuw3Ib+RkdGswkZGf/tdtuhTE2OHcN2Y2yt1I6w8lE5eM4I87J4Kl8rv 9Wa1zT3hwca/lj1z8bAw+kO7Pg+/0f6W6MPow+jD6Bc8+Ta43wQf0YfRh9GH 0R9UtNiUXzo9FX0YfRh9GH2za5UmtRkYIvow+jD6MPr5ZtadWHDSc9GH0YfR h9F/vbXy2Xirl6IPow+jD6NvN6Vm00d3Y0QfRh9GH0Zf17G+x+ne8aIPow+j D6PfoHoT8x3BCaIPow+jD6O/PafFqQWjX4s+jD6MPox+7uM2jUckpog+jD6M Phy913LFz9ODdS/m7y9hPm6XYqPr1TdrkZ8w74fd1g23av7TNWH0z1rppj1u nCr6MPow+jD2wNjP+7Ef5nmY59HneXjxlim/DRm1SfeDSfKKBnbuwoNX59o4 b9ArTTe6hHRYGKozO3XMzmzWLGX7yYBGG8cECWf7FVsa1P2J8Kkoh0Ntx3sL S/8x8OzaOT38W9wSnuTjE3232Hlh/C/WYN/V1FGe4g+MfZbzt12v1/uCcGT4 iSuXZ+tE3/x9Uui6/vdFH+b5OzVjh7p53xF2eZo+eEbEQ9FPNi/wetNVf9GH eX7G6s8DW+r9hA/sXd3QyChA9G9Fl04c6Bsk+jDPF5+/6Wjs2kBh+z47TB+W CRZ9ZyfjVzUiw0Qf5vmXpnsOn3QJFbbJf6CeY+0I0Z/WzSwuIS1S9GGevxh+ xG3+iRfCW8MGOZ50iRJ919y96YOXR4s+zPNduoY/qRH5Uvj9uZFlHGvHqPUX fHBW22Jxav0ZmOc9akbbFpwUKzx+04St80/Eif5cj2OpJttfiT7M81XeJzxO SIsX9ps4rdSwHxPU/rfuzIxC1ZLU/mBgnl/1NLW378JE4Vbt5mxWvJJEv9u4 yylJh5JFH+Z5/Ykc3zP5VT5Q+dcSdbqmCDP/wcxnMPMTzHwDM3/AzAcw4zvM eA0z/sKMpzDjI8x4J+Ub+iPjx701uuSlNnHWjB8w3wemv5+q6hQ1tPmX8eXm 6tsL2gVbl1oVclY/Zb1wmN3r0XMe7BcODN/mt3zHJeF2808cGdHouvCO/uNj AlLuCnu7zvZvd+WB8B8Ruplni/gL/7Syy8TJM54Iz93iO31RlSDh0pYDxjdb 9ky4W4fwqZ3MwoRjE8aM/bAtXNg4O2FyCetI4ee+LS2i+0YJv+v/ofnr+tHC XQ9bn74XpvK4xvnPPfaIFT6zrHOT4+PihH0LFW12vvUr4apDbU5uSVa5ZVSp M7tuJQo7NO9vNndekvD+KxUtfuuZLJxafOjxwZ9U/n579dNjAvVKgOfnuyWW Buvsa8/e3eVL/Zh9iAxpt89PeHy+5T19ll0Tpn6pzxY7FhVcWD3Oi/kDZr6h PGn/Bpb2b2Bp/waW9m9gaf8GlvZvYGn/Bpb2b2Bp/waW9m9gaf8G1q4P8J/2 Dou9ycmHIl8eEz648HmSdwe9zPd8L+Z7mPEF5nn6T+/i15Imx4TqLO5v6Kaz c7UuX3zhvaqlVJ7f+EzlCW8ChT0aZ7U99yhImPJ4X9k+Zts+nnsi8pDeidNO RfoL/xLVYVnqlofCSVEPHmxo9UiY/gxjP+8/Ubv1TOOit0VuWftcvRWjbwrr H3VxaTD2rHC0T79GY89dEKb9yPxu+J67Sm878ajwObU+XQfGFY24Ie1N5nOD PDtlXID94dvCkwv98nLPZ295XuZvg3xf/6V+RR/5Che7eE/vvC1Anpf52iA/ NLxXXK83avt8MSkwedTBYHle5meD/NdSw2IqFg0VPl81Osn0QoQ8L/OxQd77 1qSXkVVeCHd+ZZ+1ICZKnpf51yDf9tPVmQOc1fZ/+saSOSOmxcjzMt8a5B/K 3dK3qqGOP5VdHDLaZ8fJ8zK/GuQTUh5Mr35E7T8r52ycXW9JgtrfmU8N8sf3 Hifna6qOTyk229OKFX4tz8v8aZC3dn02Nf6K2v8G1XOZmbolRdk64sfX9nPC pb8NcHXbVqyT2h8t7jWa9VMDtT/Gl2nV2CXzqnBIidsWMR2PCGcsmW59c5g6 3rWIaFl50M/q+6atvPrw8GB1/NO3tV36dKb6ftfuvlHV+zlJe7204afW9lWW fdU/Oj9NtEjqe1nH+AEzfsCMpzD6D2r4RP/QaKvow+jD6MP34vI9Hx59Xjk/ wORZzdZpyvDpriZF/b2FkzJHJc3eGSRc70xqx8h7z4WbXtL1rvchWvix05oP EWVfCU+f2+fI9oavhb/vX8muR4dU4aBdqcuMTqYL11nbPzj8cqbwHPtLjS/d yRa+NbHqKkf/N8JlBi4Nmx7xTnh05xiL7gkfhE+36LqmTlau8Ofax59//vxZ GP8n3zxUYftv6eI/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4 b9zE1O67WxniP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+P/U 5fgO+0JZ4j+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/i/trB5 YGKPbPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8t557ttzw LTniP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7DLU6uO1ykpKNS 8vuY7CHhacJ37Cf+6FMjQ3hBbOJc6/GZwk36Tj/vcSRLOOZ6WmatlGxh7fsZ b2HGH5j+CNM+YeqrXN/YQpETjiolMpdtLOKfqtT0KP1gj+stsR+mPJsKu9pe XfpE5DDytQH1d5qeDhU5jDz6/rC3PVKjRA4jX+Ze2y1f4TiRw8iNHV73vWyc KHIY+bVx5z7NsEwROYy88f7rQWUPp4kcRr54q4mZ/myGyGHkPksdVjz0yhI5 jLzKzMSQQ945IoeRTxnZy3zZs7cih5Ff7nXGYVj0e5HDyIu0rRBhqf8ochj5 ILOFzcq+/yRyGDn7hZbheyd7DD8h6xeYeMOsmhHNTNqdE948b/l049YHdOyP eB5m/cN+BzmMnPLhAge3WXqXuS7t733PSX66V37CrWNut+v1ZV0Pz3Pt7+IZ ECkccir9Xbl8scLzN11x9/4hQbj8tOX9l1skCw9xq2NUrU6a8JEdawe+Mc8Q frsy+URAmyzhLnNsC5zqmiPsPPb8kHX93wrH9v3BY/yo98It2i8u1G7qR+GV FlHDq9p/Em5kWrZI0d8+C/N9tetH5F6bQ+b2u3xPmPEU3lPw43bnDU+FGV/h 4JsbUgpcDRdmvIXX6zYdbJX9UpjxFzb9w842tXi8MOMxfG9x9Vy3OknCjM/w +GFxR4db6YUZr+F8vw88XrRhujDjN2y70TNf3I+ZwoznsOsi48E32mcLM77D +ikrTu3p9UaY8R62Hhpf0H7IO2HGf3hj9x7D+k34IMx8AEe0OnWm8excYeYH bX3RH6nPl+b5J7Zdr+4HkFOfyKkv5NQncuoLOfWJnPpCTn0ip76QU5/IqS/k 1Cdy6gs59Ymc+kJOfSKnvpBTn8ipL+TUJ3LqCzn1iZz6Qk59Iqe+kFOfyJnf kdN/kbOf1u43/974LPvtAM9wk3vvPHSwT7sVWwLvuuvazV3Srs9vtxRtvMvK smylg6fShKMjzwWWLvJlv/XG7135GU/k+V3nR/Zf8Xuo8OtW9s/s46OE11VS Vjb5FCtcP6eQRVyFROG7gX4RexqnCHsMedTp6IE0YaPu5ntWncoQtm21PX2U Z5bwH/XfdG1zL0dYX3HYHxUD3gpbFdJlpT9/L7wxu1ZP38SPwmGxq/cfyf4k TH1o49lpB5wGVshMF3a2aVl+pU2GsHupys5rWmYK21zx7J+9VeWhi/cGvVuU JWxUz3r7z0Eql06sUWHajWzhi443A0Ir5wizPoO147nEOwztRbt+q+XVocya i+p4wfOMDzDjAUz/h+nvMP0bpj/D9F+Y/grTP2H6I0z/g+lvMP1L235Zr0o8 37BehVmvwqxXP147nvtgh6vyZsnqIscWpCqFZjz3vb1H/b7a+BDrV4n/Gtar MOtTif8a1qMw60+Y9SbM+hJmPSnt07B+hFkvwqwPYdaDMOs/mPUezPpO+3+A rOcM36/k6oiOi1dfEP5jQL6d/oP36P7b492rR9RLzja98FX/lPW/4XutbpBx PniCys7JTy0jbNMVq6PNjtplqv01rEyDJj8cVftrxceX1ziEqP21QZdDs94V iBG+X2dadY+qan+dUKCF98Tman8tEP1hfvWean/tF/WyzJQzan91fdx5Uufr an9N8zrqVfOh2l+tT5Wo8DFQ7a+bf589NThK7a8RG4Nunk1W+6vZ4tY/bH6r 9tfAOVNvL/qkjr8rIi7bOH/4/NX3Yn8r85PzvKzux9T+bTNk0PzeThnyPPtf Gb/zv2t+Ta/qG90Lu3AjNFOeZ38s4/nMxXOaNFf5YrOR2c2Ms+V59s/Ih0d8 Putqr/KUfS9buI3NkfU37cEo+UCfhNv/33zbtKTLtRNq/Vo1H7N8zDZ1fn0f 5Oz+yEGt7wVpaWF+N9T51nJ7PaPWF9T6Dx3YrorxW3X+bW0abtY/Qx2/7X8s cj+wVJxwcKGDoUWLqe2jQnn/ORvqq/PzvLgpq2+YqO3lXMbOmh0Udb4ud6dZ c/vWavs5lnB64uLj6vw9uG9uqvMRtT29DS53fdAldT4/0m5Ml1/Oq+2r2337 cs1vq/N7jvndvb1uqO3N+WL45JKP1fm+S40GmaY+avuLd1NuJIap8/+Okpu6 FwxR22MLp4MV78ar64HY3LR9kTFq+1y1qvB01wx1fdAsZUCOZ+rX80vUUts3 k4ur61fWZ8x3MPMdzHwHM9/BzHcw8x3MfAezXoGxh/UB9sDYA2MPjD0w9sDY A2MPjD3a9Qn/D7P+gFl/wKw/YNYfMOsPmPUHTHn8/0x5MOXBlAdTHkx5MOXB lMf/25QHUx5MeTDlwZQHUx5Mefx/Tnkw5cGUB1MeTHkw5cGUx//zlAdTHkx5 MOXBlAfzfv7v5/0w74d5P8z7Yd4P837yB3g/zPth3g/zfpj3kX/A+2DeB/M+ mPfBvI/8Bd4H8z6Y98Hok++APow+zPPkQ/A8jJz8CNZH7CfYf8LsP2H2nxJv NeizHkcfRs76nPUu+SXsX2DW21o5+QSsv5Gz/pb8TMP6W/I5DetvmPU3TH+A sY/yKJ/8BOQwcvIRkMPIyT+AyS/AHuTYAyPnefTJN4DJJ8Bf5PQX7fPkE8Dk C/D9tHLyA/jePI+cfACpH8PzyMkvon7lecN6n/Uy63OJ7xv2F6wPaV8w7Vnb XrTzEXL6C0x/g+m/MN9P2z54P+UxXyCHkTO+I4eRMx7DjJ/UP4yc8Q+W/HBD /cPIGY9gxheY8QNmvIC1+dXy/42h/ujvxPfIPyYeSD4s8UPyU8kvtoq/7TDf LF3ykdP7db2bMCtD4u/kLxKfJ9+VfGXnvQ5up/3U8aZn0aJxJuUyxR70+b+K fGjaD4w/2v87YMojPkv+M0z+szY+D1M+/YHniQfSPrAX+2l/fC/eR33AxA/Y v7NehHkf+dX0L21/0473Wv+Q4w/28n8MTLwa5v8ZmHg1zP81MPFqmP9vYOLV MP/nwLQ3bfuBaZ8w34/1Ld9L8tMN8RiJjxiY54nPIIeRE69BDiMnfoMcRk48 BzmMnPgOchg58R7ksNZf8uklnm/IT2d+YL5hvIT5/uSTw+STc/6A9tTyVuDs NSX36aIquX58vSRV+iPzA+2JfGyY8Yj5BDnjB+9nvtD2F8YbxgvmE+xj/IFZ v9A/kPM9GF9pj+TDM18yn8KMv7Rv8t+ZP5lfYcZn+gv57rJeMsy3MOM3/Y/8 dsYrxhvGN7jQ8R1bFte6rFvwe8bJR2fTZLxBznzE+ob1Csx4zfkJ5iPWL8yn MP2R8w7Mx3wv+jvnCZi/+T6MF5wXkPne8D0YbzgPQP9mP83/ufxfTXthPKQ9 4T/fg/HPolUtpUKT1K/2w8QXsQfGfhh/YfoTzPeC+d4w4zt8LCa1m1IjVdYn xAeQEx+AiQ/AxAdg4gMw8QGY+ABMfACeMruIg9NRvayHpv3aPsnFV13/9HDx GnA4KknWN+06/rx2/OD4r/Znno4WbbY0jpX2cXFfrXo5yitpD91OXy62IytR 6r94z27Lj0xMVrTnF7yH57hZHn0g6xXmt1d+l9dkjkxT7KeZlbL4Mi8nrTtu OsB3m27Iy60TG5qkKve33E1YZHFayaerHmjmpVfSM3rsmfv+htL7B6f3G94k KSPzvXX7rlKI0sh4ev2T++OVJYtu3PLJiVJ8Pt72j+tzX1fffvXBJZPTlZpN qjUcbBKk810+2S30VzVe+e86TzHKLMgopnWKMjJwWmKXS6r8Hz1fQfts+8v8 VlbrghW79ZO6jbul7mfyOn+Rz71PWFKTL/tYuy4+L+6r+dPfOo9B/3Ct9GrG 0zVRyoOk0hufuqr7nW1x251Mc2OVOnaPNiiLohVH44kTnvnGKjYTpja4eeif P8/h+HRmr12xLxVtfva3znfc+r37x5zgCEWbn/2t8x5pg7vfqlA5SNHmZ3P+ o0uF8hfqVn0o8+U/eh5E/n8NN2pQ43d1fZq/VeUT9oev6zr+br/1t8Q0pWB/ 252XhvvrfFbWnTMxU93v105pZtml25f58Mia4akJT2Q+pf+tL16ywPqGmbK+ JV6uPV/SeZf5/v5f7NCeP/l7z5tc9kld3319suynKO/GkT71ve6o7ftb51Fq nck/9NTjBNlfMd99TL7idOBCxFfnVZjfcu4k1bH5RW1P3zq/0m9eG4eAFlEy /7N+8KqRdaHgXbX9MN+vHZ7PqUrZUJn/WT8UiQ7dVOnQ1+df3juarEpI9pf5 n/VDmEfKs1ctvj4fE//dudk/vtJ9vZ46vn39uw15n59hvzQsTdEXe5qudKhc eWBDj+Cv1ktrc3xe3fXMkPq12nV6kW7DbuXxerPWufNfKrUcL3XrNvLL+mj6 9OlGg8KVGj0X/zy2YoJi6tDZcWzPp8rS6CZ+I44lKUY7AvZknr/7pV7aNvhg nKL8uLFq7DTT7Wr+wKAnz9wDnulGjanfudSxDOW7E7O8p394Le2ttpljxI4J ycK/hbyYtqpRsjI0aOfHiysCldMnwsNG101WejQyKnjSOVDZc2dlk1VTvuwX PCsta9P1hbLfzGHRsY4xyplGj26ez4hRyj640X9Is0gl/nt/R2tdvJKcf8O2 JSODldR8dTYvGZ+oTLLZ6jm+rZ/i7mvWqW+C+v05X5TRNze3bAFPxcV72cXc 3nrlTWA348oLDurWtk/93bR3mnLnTqdrPbNCdQFDvEpVMMpUSqf0bDHkcJjs b2+Pd6nm9Lf/PcZtm+Sh7FTs9gTW7F5YL/7ph8yonG5+Rrkw8v6o9bHqfndh l0GZXd31So7Lk8vz5178av/7rfNN/+z5jabrbA8FZU7QLajepozLd+r/odrz y/L/k2F/uW/de//95qlKxUDz+nFhZ3XHjo86ZuSclud5j6up9uetp+6V9Rrv 7xfv28mlupo/of3/h/3C0Fle5SyGnpH1n8UdqxlRJdX9dN8hD187lU1VAkaU zcxeeUxXq2rI8hbpeokfXsoqbLQz/st3P7/1Svd615QV8cv6je2ml/ihnV3X dTEV9YpuQecju5Y+VMrMvlr3xecUZWu3B8Y2v3grpjvm2l1rpcYTp40ZUG3o Fx7c5af2+uv+Sm9nq4ysWDU+ePrcodFlDiQqP1W/fCZgefhX59eoz6BHbkN3 v0hTho1O820brVdsN93YW3D+Rd1OC5c1MUVTlUXtC7XeveGUju/Dek57PvC7 fmk7K106Ie3NxDZknnt596/Gd87XMb7wvvUHvtc3nnxVff5gpaUTPb2E32+u utt1433hFZudbAvG3lX+0fNmjIeU79Wz7rHZ5fzkfZY2xzNKXHssfHlVdffr 2U+Fl6wKWz7TRGXGY95XbdyBJvVaB4t84Li4fnNLhAhntT/5uWHdCGHP9lPC I2zDhZkPJN+rZrO12ydFirz71p+ezTKOEt699A8zm4bRwos+L65S98ZLYeYn 3vdQHzXLyCdG5K9m5F9Z3zJWuOXIiaH5O8QLV37R6X54cJww8yHv+9n3SPVL Ma9E7tDL2/xFrwThIKsmq68MSRK+dK34XMfURGH2Y7yvX+e9bRyLpol89Hcn 77hZq1wk98XM7Z3S1fZh5Re/tJTKuTYLWzyp9mWcWBhRs2iOh7Kv0+KmHd/p ld6VvPtWybks8RvKc21h5Di9Qoboe2SVrrq8h8qDkzvcm2GbKdzNrFnbYVVV Jr7D+9Jqj0/oZpIlcqPYubOHD1T5SLh7tR7Ds4V3VXXebllfZeJBvM+63APr Oo1zRN77acj9lmNVzvEuNqfupDfC8cXeJ5ZprjLxI963Ob+Z0+dWb0X+xy0r 43IzVO7iOeOh0dx3an94P6JdirXKxJt4X0T6ltdhnd6LPPmM61z9QpV3HA2o EbH0g/CqxJvOD3qoTHyK95m9zGx/0fajyK32F3z00EHl2F2W8y9tyBUODKmb cnCgysSzJD/Sf9CubcM/iXz91kkmbttUbrbWxcdx52fhOg/WdVw6VuU/ez71 8LiQ2cvX65XD85aYlyx6R0lZZunW4he9Ypm4rH9R27t/+vyqeeEn42+dTFH8 Gw1KS93o+z9+nlUZYvWylvNr5Z7nhP6O/Z4p23qZbgxyTVIsW3t9DDUKVfZ1 3eF+1zZJcTTbPNHuSej/+PnXjSYWg19kx0p80eFKr8iLtWKVzuf71f+51f+9 87H+oyNermp4WDe8fuQ8q7/lvzp82Vtu3SLsN7FQnzj3W7qRPXav2187Xal2 s9M80+LXdFHDNlrWep6mtLda2uRCkF7iWxP6jmlU79cYiU8Sj715xvxGObsY xbaps2nk6JuKZcCUJeGX1Pjqoo8tmk6oolearWvrO3XHHYmv5nX+lv3BYuvA Z7OHpivlz+cmt2tzW+KtKyqEVbq3Nlh33K+2/YPranx12cgtPxbIzFAeLjnh 8e5JnLLbpsLFPZ4vlVdu4+csGxWtbA47ZB18NFY5Ft1x551uz5XUUxNSy0/7 ss93H/Cs4+AgJV+JXO95RZKUQgVG3fP59FC5/rRdZ4dVycrWNPOAUkY+ullh 9o98T6UrZb+ve/OO31WJ78n/GdX8G3fel6ac6lXy45tZl3TF3o99eOxKmnJ9 W8Pibae+UqrVPLnAwjxKKZrr7t74UrIyccuMSU/cA5RF2XtqZLxOUEo6Od2o 0eC5Miw8wqfm+ihldr8CUYVLxysuzb08nUaGKtfPvHZz9UpQKu4bcTes5RNl +oorOy17vJby+X6sz6k/4lkw8S6YeBhMvAwmPgITn4Epj/gl5cGUB1MeTHkw 5cGUBxOv1MYnYeKTMPFJmPgkTHwSJj4JE5+EiU/C2EN8AXtg7IGxB8YeGHtg 7IGxB8YeGHuIb2APjD0w9sDYA2MPjD0w9sDYA2MP8RTsgbEHxh4Ye2DsgbEH xh4Ye7T5S8RvsA/GPhj7YOyDsQ/GPhj7YOyDsQ/GPuJH2AdjH4x9MPbB2Adj H4x9MPbB2KfNnyJ+hb0w9sLYC2MvjL0w9sLYC2MvjL0w9sLYy/yFvTD2wtgL Yy+MvTD2wtgLYy+MvTD2avO/iO9hP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPZr 88+IN+IPjD8w/sD4A+MPjD8w/sD4A+MPjD8w/sD4o82PIx6KfzD+wfgH4x+M fzD+wfgH4x+MfzD+wfgH4x+Mf9r8PuK3+AvjL4y/MP7C+AvjL4y/MP7C+Avj L4y/MP7C+Avjrzb/SPv/nTb/kPgzz8M8D/P/BOeF0IfRh9GH0ed8Efow+jD6 MPqc/0IfRh9GX3uen3gk/3fAxFfk/xRD/AMmfgETf4CJH8Ds/2H27zD7b5j6 0+bPafMb2T8Sr9LmM7K/o/3CxMvYz9HeYckPNezfJP/PwMQD2a/Rn2DilXLf p+F5mPfD2CP3gRrsh/EX5nvA1JfEww31BVNfMPUFU18w9QVTXzD1BVNf2vtN +T+PeDLnb2i/2vso2F/ArP/xFzms3R/QXhhvYMYbmPEGZryBGW9gxhuY8Ubb PllvUl9yf6+hPpnvqW/mT9oD8w/thfGa9sR4Rnvje9M+YdozTPuHGb9hxm+Y 7wnzPWG+J8z3hPmeMN8T5nvCfE/tfbfa/ELGX/KlyO8hH4p8HvKdyN8hn4l4 BPlG3L9KfIP8K/KHyK8iX4j8KfKDtPd/Eq8gPqHNJ+U+C/or/z/wvWHkxA+R w7yP+2p5nvggz8M8T34V7ZX4HvUPk7+nvU+W/gxr83fJh6K9Mp/Acl+HoX3L fR0GRk5/QA4jp//IfSAGRk5/Qw4jp38ih5GT30V+J/cLwNzfAXO/AMx9HjD3 C8Dc7wFzvwDMfR8w9wvA3P8Bc78AzH0gMPcLwNwPAnO/gDZ/mPuNJb/YsF+l /5CfDTM/Ex+iPxMf5P9i8gnpL/R3Oc9p6E/kZ8PkT9L+mD/Ql/Odhufpf7C7 zrvgsAuZos/5TvTlvKfheaP5G+vsGKTyMLPenXzfZYk+5z3Rl/Of3K8cXWp8 ob0ql979ZKVirZ7/ZD3G92Z+YzxiviDex/dCX86zG1jOsxtYzrMbmPUj7Z31 kuRDGZj8Z/JxWU9SP+QzauuH/7tpD+T/Yj/PUz77dfI5ye9n/UB9wvjH89jH +Ed8jv5L/jVy4mXIyVdGTvwKOe0ff2l/fA/sQ0574330B8ZjmPqm/8DMR+iz nsAe5Nr7P/7KJ/3fnU9KfXhYL/ppuLv+m/mkPgH1xif+G/NJv3UfjDbfM698 TW0+5j+bb6nNl9TmQ2rzHbX5jdr7bP7b7qvJKx8zr/t98rrvJq98zrzuw9Hm e/6r78dhvGR81OYnafNLtfmkeeWH5pX/qc33zCufM6/8zbzyNV+0HDmqTcLX +ZkhBy89KbEx5f/8fT/a/NIqoQufevmq/99+674VxuO88lH/7P1B/+r81a/y VfPIp/vfms/KfTb/bL7qf1p+5X/b/VDa/NE/e19UXvmm/+r80L/yPf/K9/wr 3/OvfM+/N98zr/xNbT7mn82XzCufkf0l4+1o+2O9yu1Rz2Npz4to75/7b79P Tpsf+Z9+v9yfzef86/65/+z75/LKn9Xm+/6782m157G059e0919q82nlvtvj wzxXZc/R/avza7X5zf8PZDeVSQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwBnAJj/SFib1JiAgAAANkAAAADAAAAQjoxJGgjSUgERDsyBgECRzw0CwYH FhESTUwIDgkKUVAMEg0OEw4PVVQQBwIDCgUGLyorFxITIh0eGxYXXVwYHhka HxobZWQgLikqWVgUbWwoGhUWJyIjaWgkKiUmKyYnJiEicXAsJSopGh8ePjYv OTgwMzEBOjICOzQDAQYFAgcGSAcDBQoJBgsKTAsHCQ4NCg8OUA8LDRIRYWAc PTUuERYVEhcWWBcTFRoZFhsaXBsXGR4dDhMSYB8bHSIhHiMiZCMfISYlIicm aCcjVBMPIx4fJisqDwoLAzQEcC8rDFALKi8uATECLzYuAjIDNj0uNDwETU8M MDgvQDkwMToCMjsDNTctYWMgLjUtRUEzdU4If0AwB0gIOkMyM0ExTk0IOD4v SEkIPD8ECEwHdEoESUsIC0wMTE0MSkkEZWckD1AQH2AgVFUUUlEMdlIMUVMQ EFQPd1YQE1QUWVsYeFoUKS4tFFgTF1gYWFkYWlkUVVcUYmEcVlUQGFwXYGEg Xl0YeV4YXV8cHGAbemIcUFEQG1wce2YgXF0cI2QkZGUkZmUgbCsnIGQfBEgD O0Y08fKAoew5L3AwcHEwcnEsfnIs67Y4bW8sJ2goLHArkNVb5pty2pNi77U2 sfA+a30o4Jdq3ZVmlNtj45lukthfY3sgX3ocW3kYbm0ocXMwP3QET3YMK2ws aWsoKGwnamkkfGokbG0shrI/isxPZ3wkU3cQV3gUiMlLb34sc38wS3UIjM9T jtJX8oWAfW4osO496rE+u7pCzotSs51AuLlB0Y1W6bA9tJ41tqA4tZ82mOFr nOdzmuRv15FeoqE5aGkow8RG7bQ1xsVH6IQ3yIdKwL9Ey4lO1I9alt5nvb5D ujy6cw== "]], Polygon[{{135, 199, 73, 74}, {137, 202, 77, 78}, {188, 192, 68, 50}, {139, 205, 81, 82}, {183, 187, 66, 49}, {133, 163, 60, 128}, {194, 198, 71, 52}, {141, 208, 85, 86}, {143, 211, 89, 90}, {155, 229, 113, 114}, {157, 162, 57, 64}, {153, 226, 109, 110}, {149, 220, 101, 102}, {238, 237, 53, 61}, {240, 239, 54, 62}, {236, 235, 56, 57}, {164, 200, 74, 116}, {145, 214, 93, 94}, {147, 217, 97, 98}, {186, 129, 58, 66}, {191, 130, 59, 68}, {197, 131, 60, 71}, {151, 223, 105, 106}, {199, 136, 75, 73}, {167, 209, 86, 119}, {166, 206, 82, 118}, { 170, 218, 98, 122}, {169, 215, 94, 121}, {174, 230, 114, 126}, {193, 184, 65, 69}, {185, 183, 49, 65}, {171, 221, 102, 123}, {211, 144, 91, 89}, {163, 134, 63, 60}, {214, 146, 95, 93}, {172, 224, 106, 124}, {175, 179, 64, 127}, {130, 195, 70, 59}, {196, 194, 52, 70}, {190, 188, 50, 67}, {202, 138, 79, 77}, {208, 142, 87, 85}, {173, 227, 110, 125}, {129, 189, 67, 58}, {205, 140, 83, 81}, {165, 203, 78, 117}, {231, 175, 127, 115}, {222, 172, 124, 103}, {217, 148, 99, 97}, {178, 164, 116, 63}, {229, 156, 115, 113}, {160, 234, 62, 56}, { 159, 233, 61, 54}, {220, 150, 103, 101}, {168, 212, 90, 120}, {158, 232, 55, 53}, {225, 173, 125, 107}, {223, 152, 107, 105}, {204, 166, 118, 79}, {219, 171, 123, 99}, {216, 170, 122, 95}, {213, 169, 121, 91}, {228, 174, 126, 111}, { 207, 167, 119, 83}, {226, 154, 111, 109}, {210, 168, 120, 87}, {131, 241, 128, 60}, {201, 165, 117, 75}}]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHW0lkUQxr9dFVsEDPQqUl4pKeWCIghISUorigoGyr2XKyBesVDs7sDu 7i7EQkRERUTk2N1xDAwEfX5nnvfAH8+ZfTdmZ2bnmd3vazKhZvjkXCqVbk6l 0jqSJ0q+LWwt3CVcKpSEc4U/1Pxb2F/tlZIbS54t/K72X0JTtesJ9YU5wrPC ROEF4XmhUnhJeFGoFs4QThdWaO18yVeEKcIC4VVhmjBXeE44UlgovCZMFxYJ rwu1wpvCG8IMYbnwnnCqcEAKG8uEJfYL/5YJ7wqnCEuFd4SZwjzhZaFG2M5r NxGaCJvbtx2EzYS6wvYe31RoZMnYYuEt4Xihseeyfi+ho7CL0MxxaiDsKGwh bCm0cOwbCq2EbYRthZbu47vcc7cSdrJkza7W21wYZ79bC+1td2Pv3dTz2ngO vu5siU8dPBe/O1kfNvb2evbpIbSz7s62CVu6WOLHbpbYvrslPh1ou7padwP7 X+F90NXdNrUV9rRkvz28Ftt7en/s7WVJfLt5nPV9bG8n+9PR84ozw99+3hs/ 9rYP2H6QbRwo9Pc4Y+Rvjc91kOdg1xDvje1DLbF9gPURg2GOHbYPt8T2wdbB +hHuI19GWhL7UZb4NNa2ohsO/ikO/SaMUbuvfdrPdjNvX/fxvY/twg54DXfh MByFl+Qw3IVz5DcchffwHz7DC/g/2rawHxytdFzhEDwm5+E0PIY7cBrukvfw uNZnD49nOAfgMbwhv+EQfCW/4S4c3dp6OcvG1tvU39hFDpfZ7u39Db/hekP7 toPPvq518E09oGbAr7Ze28i2NvMefLfzOLaSq81ta7m/C06W29YW/mbvlv4m XuRjhf1v7j0KHrbx/m39jU2tvB5b29sObO/g7zKva+2xRp6L3XC2o9HEfQUn C44iu3gO+dYrreFzZ/tWYbvL3Vdh3b29hv3JX/IYzvXxWMHPnraP8a72rbvX FLlO7pOX8KTIU+RQ20Iu9/fe/RxLdMHDgT7fap8tPg3wmvbev4dt7+/12DLY 6wtODrOffe3DxcJkYXVpDbeH2KcRXlPUqe6Ofw9/F7wd6T3hJFykthxm27Fv rMcuFCYJ/5aiTh7qmI0XDk/Buwkp7mDy/ZAU91yZ9R1onawb57X9vOcYrxtv PQfbDuLG/TtVSMJFQpWwqhR3d5V9h1PUBDjO/X6E7ZzkftrdHJvBjh97jvaa Sp8PdlNHNrGOibZnrn1n3ws8Rv9knyk29LG+Ubar0vPvkLxE+K8Ub4zJbp+W gtcbprjfj0rxnqGGUKPq2e8p7idvajx+ieej56QUtahOijfRVM8/JkVNy8Ll /qZ9dIq6l7wH7foG8+H9Qs9fRzg2RT2kTT2hBlJLbkuRf/h+XIo6ua5whdcw n/pBvsK5Re5nzmW2Axu28Fp0815C13rCCd6L9pXuZ+1VHqN/sdt1bHet9S2w /mxbiQ81b3aKeDH/auFkYX3LmW7PSlGTN0jx/uOO4X5Z6nn008cb8Z9S6GVt Q4O11MVrU5wx53u+1zD/Gu+BnmVuM2e552/k9eTGtj7nGp/1DSnyj9w7J8X9 yh2JLWdZP7Zyd3JvLrG/63sua7iPb0rB5399vzLGHX1eirXcqbek4Bs5fKb9 XWHd53nf0+0b85v5nKm78Bv+l/kc7vVZDNODvm6OGoBPL9qvRyUf87lwno+6 zfhLnlPtb3jAewD+rzYHmVNtPO/+Ks+Bhw8LjzhniNP1jhXxvs4xp4bd4Ng+ lCLn1rVds20POq6yngdS5Dp5Dkd5W8C7D4lDDv1POM+I/1Mpzp5zp37c6Pg/ 41whBx5MsTf7wkveKMmxQn9RG+iHu7yF5lgPdY63DvVsoseKOjbHfZWew5nW k431c/jdWfLTFDX4b2FEjvr7hzA4x3n+KeyTo47fk4LDyX7ctJYNz6Y1tZe6 SR81ab5tJ5/nreXTPMet0mdHHX46RVw2tL1zbfMsj9H/eIr4EtuT/F1w+UnH +UnHnTb23Gw9yFvcps7d73OEc+9aP+/Ahe6v9Tdt8nmBz4eaRM2ifk33HOrQ MV473Wt5RxZvyDedPzPcz1lT53hTbuX2G57D+CLPOcW2URuoN2/bX9ZRBwvu LLaOEz1G/6u2OXvdEq/l/bnU8Znp76KGveP+kz1npuO8xLr/EUbluKuPtZ21 tnGZY8hZ3+nzvTXFnVFw9vYUvGb8Ls+h7w73kzN3p8gx9D/oOFBL7rMvnNsD Ppcq74F+1t3jtTMcT+4XeDPf/dMcF+69TvKjQ45a1kqyPEetJB/4zU4dbqe+ 1jlqH+f+sM9ouvVgzzSNr07xjqG2LF9LB23qzMfCjjnq0CzHinj/JgzI8Wbq KfldivpC368p+g8i3jliNl5yQg5fx8HLHPHbT3JsjhzfH3054jJFcmoO/vSX 3DtH7esiuco2w/XfU/B9d7U/T3FPUA/+SlETDqF+5zgH6sGKFDXhfaFljnvh A7Xb5rgXVqo9OkfNnSh5RI6zrJE8KgdHD6MO5TjPz1LUI2pRgxz1lFraMYde dDZX+6MU99JItTfP8cYcIrlZjrtnoOSmOd6kYyT3zVGrOOddfNZtctiNzdVq 84cTdeRIyUk5zrhC8pMU926l2lU57idypIXzZCfJ9jnuVnJkZ+dJV8kvUtyj nB+28MbcS/0/pLhLeqj9bYo3Wi+1v09x9+DHIPuCH7vZl/s8l3zbU33fpKjF 3dX+OsUbsJvaX6V4JxKb4Y7PHpJfpni39VP7lxR3T1+1f05xP/VR+6cU99Yq 5zS50VvyxxR3IXf4UN/j/wN/LAyB "]], Polygon[CompressedData[" 1:eJwtlOdvj2EUht/nqO2LvUeNGDESK/YeFULU1lapKqpaGhERERGhEXvvUXvv /Z/4YO89SxFcd87z4cq5z/v+fu9z5pOaU5ReaEmSTIAU+BSSpCUP1mAPwEdI xV+N3Q8foAX+Kuw+6I1+gs2AHPgLNXmWh50FY9BfsZkwG8bhf8dmQS5UxB8E O9EXIB39AzsD5sADaMWztdh1UBc9DUrR+VABPQC2o89ACnog7ECfg8no2vCL 3A7h10CPNM/tHkxCl2OzYSbUwZ8CR9Dz4tkPsSXBY3gDTXi2DLsLvsFY89yU UxX0UNiDvgbV0MPNa3ULqqKHwV70DWiD/h08tpJY+zQ4GLwHP2GieS0UY3d0 D9gYPKfO6C6wAb8cvxJ6sHlsl6A9ugOs17d4Xx09wryXd6ATuqP5O31jKvof 9mjwGpTBePNeqSeV0UNgN/oKtEO3Vc8SP6Mbuqt5LIqxGXoBXEevgLfQFH95 8G80Vm5wEb0U8sxzUOx69hh6mc+SZuw+tDafhTLOKDbvqXp5N/ZmLlwO3qM/ 0BN/E/YwFJj3QLVXTI3UOziPXqKem+eo3PSNXPMZ1WzqNw0VC5xFF2tmzGdQ s3c65jYfrgbPMaD7wVb0CWiAzjb/7SLVFG1wCn0S6qOzzHWhdsp8pjXLOjPf fMY0WzrjPTTHXxl8prTMmjnN2s34bqG51m+eQT38AuwWeB17oNprB5/HGHS2 Yn4ad067thnexZ6ql5rxV7GGqp12bhT6s+Y++Aw/ijulXVIPXsQaKPdt8DLW VLXUDqsW/c3fqSa6a4rgdvA75wuMNr9rdKdoVvuYx6aZTdB9zXM7FvzuWmw+ G7rDMs17ol4cVw/Md0K7oDOmm39D/y2Ntcow/61qVst8pjRLuuP+A3qKnX0= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHecVtURhTcXC4nYkChFpKkxtqgkkUCMRiEKKqIIikpTkI7CIioiLXRF 2lIXll4W0EVQBARUAqKAYEsgKkWDwSQEaWIhyTme8/2WP2Zn3n333TJzzszs V61NtyZds1KlSpXGn4Dujz/3pFKlnsVzbdi9MtkPwe4GWQf7BuinoQdBqsLO g+4LqQf7KeiBkOth94buD/k17Ceg+0F+C/tJ6AGQG2H3gf4TZDNkMOQ5yKUY Pwj9LmQUZAhkKORijB+AfgdyOexD0FshV8M+Ar0Ncg3s96G3Q66EfRj6Pcjz Xp9rveD1hkFmQaZApkI+9P7jIGMgwyEjIJMgoz021mMjIRO9Ft/lew+ed7zX 4fPkk7772Gtzv79az4QU+Jt8n2Ocn0f7jDzHNL+fAJluzf0vwx2/ht4CaQf7 kdCehX7Psx+wL3n/2d6De871ulxvnjW/+xtkJ2QGZIfPOB+ywDZ9ttCa6xVZ z4EssubaHXCWR0Nrf+o1lkBePGm9l6y5Xn3MvQWyNJMUeb3dkF2QxZDPvMbL kFf8fTFkudfl87KT9pngmDBOe/zdikzYJmaJ3U6wm4fW2+v3qyGv234N0gXv W0BWwv7C79dm4gS5wbkNofd5vCfsHpDqkIchZSBfYfzfkH9BNkIuCvHnmUzr LvM9yBdyjtwjj8gb8ofcIZ9628cFjh/5SM6Re+QguUWOkV/kKLl60Bgh/v/r eNBH5A25QkyTT+TKMMto+40cIreIw6EeG2U8EePEOjm3KRMvOG+Mv+e6Y/1M ITYn+RtinFj/wHNG+pn4nOK18z1vlGOZ7zuM8vvRXi/HxYmeR05s9Xk/8r7c I4c5YoNcKfT3OV5Ns8y1j7leod8VeGy2z0f8kw/tQ9z7S1bCJX6/0za/n+89 l2Ql/MnxaYHf53vvgqyEVwuzEl4V2RcF9lHHEMc+ycSzRd632N/lvi/2nbc7 TiP9TLwv95mIPXKjc4gPn/u8y/2uubG/3PPICXLjFvOm2M/kAbnRwpzgvLth NwnhnlxZ6zldQ7z6O+z/ZMrrxFR315ovYTcK8Wq/z7HSa/Ywn8gjcmwD9JuZ 8sRS++tUjB/NhMsij/OcxDZxPtxY2mKcVMP8bzLhcajxw7lHPUa/jbAfczjf 5rHjmeoH8cs1iDni7YdM8SEOvs2EEWLxu0z1gDg6lqn+kRPfZ6oNxMWJTPl3 vv3yrs97WmjdXI6mLjQmiBvii8X8M8fqdNj/s28esF8ZmyyU7xiLM0J5ljn2 Xsefcb3P8aHfk/PbG5AI5cG19tMh+6p0KM8SCy0dN84pF8p9Gx3nA74TY3hK aHyzcTDYPr8u5PeyoTlf2QcH7QfG8PBJcTjiWOz1OVY4Jsfs2w8cm1wtPu54 feTYTLbvv3NcdjgeM+3jH7KSWnbCcaGPmU+X2L/0M3G2xzGg/zf5PsTMF/Y7 fb7PfqR/zg75l74913d9C9LatWM97LtCvuBzm9C78vYduUUOVA7hfpP9Ws7v zwutyzUZh5+Yj5Wgz/L8c0Ln4BlYv2p4fvL4PzLtXdbnYy75qb+lrmS7FvTP IH+GXcFn5Pnb+twVvd4FXrMm9Pmez7NU9jp5rp08dy1/V94181rXTeLokhAu OL+K93o8VF97wr7Vd3nT4495jRquzxzfbZ4whswHrB9D7dPq9iHXvtDrX+s1 +hqDV4UwSGz+PErW+EWU8OOKEGaJ01+G8gh7LfKZ+Kroe9IP9F/Nk+xavju5 yZz7aqb+gH1MnrnG3LrOY7/y2dg3sJ/g3N+E7H4e4zP7DPYT7DM4t07I7u+x Op7PfoL9B+fWDdkDPFbX83P9R673uCnUf3Dsd57PXoT9Cuf+PmRzDufyG/4v 0Mff5+ZyHvsbrlHPNnn8hxB3Gcc7jVVyj/4ptq5vXzWwvdQcbWCbY3/0HPr7 NmOR3GxoLuy3vda6kcfvsM331Ld7nHni5lDe57ka+2zkG+vgBmvWxbfNxaah 9xy7x+NNPYfjrHnMJayBjG1tx454aBYl+Zp1mjWaeZv2Ko/xmTn8fturPIfP ufzOms19WCNor/EYn1kvHrS9xnP4nKslxN5qY7iNscqxlvZbK9vrjNVW9ltr z/+nc0tr2+Vtr3cceU/ej3Pbeg7v1cl3YY5grmBeYh5nb8e+rtD2DOt2tlmH aU+2bu9x5nf2UuyjFtlebN3BNuNKe551R4+X8Rl4Zsajk89M3dnnpD+72IfN fC9ijzHo4hhxrV3en2NdPf9c/F9+ehI+6fdujktPjE0L1bonYReG6tto2MtC 9bAr7I5JXHoeemmoRnWA/UgStx6GbpXE55bQLZL43xT6riTc3Q99b1Lu6AHd LYm7laGrJPn1FcbBmByHsVdDdW8w7AWh+nkH7NuS8uhqYtx3uhBjVZN8PBB6 XihHHoaeb/sZjM8K1erXiAVjuAjjH4f4vQz2klBe7wd7TqieD4O9KFS3X4K9 L1Qnh0AeT8o/V0JPDfUjs0P7ca/pIV/Tz504N5SLhkH3SeohZtoX9APPyzvw zDNCsfkxLqG9uS/995h9uBlydVK/wlh1drymQVdLwjzxlWeMdcfY4FD+XB6K N2NdAfq8pPp3AXTFpDxZC3pyqP8qA3tdqC9gTavgNReHfET/LAzFjPFaEYol 4zg35FP6cxXsCUn58mVji7iaDL02VHur+MzkKHM1ewvWVNZh1mPW6PKYf0ZS /pgDPTcpd5aDPjNpjV6QsaG6fxXG3gn1ixuhN4T6moPQX4f6kSOQolBvuxLz T0uqpaMYn1B/Npy+CfVwJ6DfhpwJOQoZaW6u4dqhfFUpKd6M9QDo+5Lq4yDY bZNqHHHxaBI2GJ8uSTEaCPuhpFqZlxRvxro/7O2hXrMv7K2hHvQ96EPOS/2g b0+q6U9Bbwn1r0Ngvx/qR+m/pfbhAcg5Sf3VN4yLcwhjtTIUL/LmU3NnEn0Z qkXFkOeS6iJxtz6EPeZW/t/FWsb40WZflGFO6aT+8UvIwqQaVtUxzvN3Pf3t RY473x/jXqHcuJ8YC/Wv48mbUK/8PWRMqBd6i7FN6h2PM5ahmsL8sTuUQ5h7 dobyzy7P45yJxHWo5x5DTof+T9gLmZVUv3f4TDzPt9B7Qv3vJyE/0ocjQrmG eaaxOcR7nYKxN8yl2bA/D/UITZLix9gxj97tXMpc28b5tnUSPn78vZT5Nal3 pA/GJvmBebe5cy/P/kLS+W9g/k76vbMs9OuhuPOu+Un3vQL68qTfVmtDX5f0 22GzpN982UsUJuGemCe+eiVhjD6YlOSHdklYJ85ZN9q7djyQxAdy4Rrm9aQ+ uCCUT5lLWU8edE25jPdL6t2nhHIT89Il0Bcn/dbLOvBhqBZUhz09KVcwt9Vw frsTunHS/4rMbTW9zhPQvZN6RNalbaGcPIh5O6k/Yy09O6mekn/PJnGQ/Hs6 iYM3c42k35gbkn+h/DMF9tSkfvGsJIwSn8xJlyblpTrQ1yf9Vs1a1yip3p2a lI+Yi4qT8jv5dSs5l/Qbdn3oBkn/J7DOdzeGXwzVNta186HHh363qAu7XtL/ GDdC35T0Pwlz29Ck/EZOzzCvmf9GJOXA+dDzkv6/ZC4ZkJRP/g/jtFYx "]], Polygon[CompressedData[" 1:eJw1lnnQz1UYxV/f+xShsmVJGWLsRbRIkpAoUpZRJi00aZF2lK2UyUQlUgll V0qbbCmhPe20KEpFNA1Kqwp9zpzbH8d5zr33/f7ufZ7nnqtO/+t6DC5KSkqm gQBT+WdlKin5gcGAvwezGesKnwsmgSroI+E3WLMFXoG+Ht6O3gYfjK4K1wJX El8F2hLfyXwv4t7gJPRo9Fb4IPQR8HmglebAB8w10T70O+AwfRdcwFyf8N+2 Qj8DHgaHgC2MXchc3/Dc7YXnxoMDhdccHt6j9nY0qISuDKoT72DN33CBrgSv QS+AHwJlwFfoV+C9ybnR+i/hZawfpFyhd8Jzw7n6EX2f9ojuB69CzyB+Apyv c4NHwAP5bGXBv2Cf9gneZv3TrF2av91H5wBDwEh0BbgD8yPg39DN4VLhQlZM PsODyjP4nfnS8GnMnQo+RB+Lvg20Ccd7Cuf6LbCzcM4ngkeZ7wKvZWy9fgsc Chahb4VPDtfql8K5ukfnKJyzs5g7E3yMPl41Jq4G1qNPQLcnbgc+QjdLPkun 8FqdaTh8RnjuV/QUeBz4k7gO3JW5c8L5aInuR3xRuPat0feDZ9GXwqsZ66ba hNeO0n6JlxNvJU7wAPTloA3xGMb26Hdz7WeBkcQ/g/LgE/RA1l4RXqsefxNM BeVyDheEa6zaquajwP7k2mnPPZnvEd6L7kR94qHwLnR9uG04Bzr7cfAp4Zqp Vk3hi9GXhM96h3Iarolq0TjXvns41+qB/sSXhdfqjE2Jh+lM6IbwZPQS+Dt0 oe+Ad0DNfObNYDlrBsPblBPimWAZcWfGngR3o/ehN6t/1Q/o/cRfgxdUE/Uo /C36RXgSulT+zc/g59Q3+c6+pDsSro08aTpxuXxfz869dhe6Y+65CcTPJ++l E1ine5jc+0dpf8xvh3uBnsne9h3cLdnj1JvVw72lHu0crrlq3QKeE/YIeYP+ Zi2YFt5LPTA/7Gnysu6gNnpeOK4LloEp4dyq515P9gR5wU/oscS1wKbCZ5K3 bIRXFvYY5X5TspeoBjN1hxn7S7kr7MXf5F6XJy9WPsLfHoDeDXaA3rlH5U0v J3t3v3xXViV7l+7MHPWszoz+AiyRdyTfhYHwPPUdY/+gN4KFYQ+TdynHj4Fb GPsDvQHcSHwTaM/4WPQI4tnEnxPvBdeqt+QJqit6adhz5DVXwzforQnPtc9e MBTdIXvCMOIa4NPCYxOJF+deU48NQl8Tfova5d4+kO+jelxe1DHspfKk8cSL kntXPbsheU/ai2qUiA8LvyWV891el3utQs61eq7n/zknLht+O9TDi4hX5LvU F66IrhB+WzU/GVRF1072i3rEDcLe8C761dxj6i159OrkPWkvelPXgEBXSX6T 5f2nh71Eb4De2tZhL9GbW5f4GHBz4d9spLch7A3r5OHEJ4a95X3d53CPqbf0 fwK9Pa/BNZLfoPLoXcnn1ViT8Df1rQb6G+Ka4dqrZtMZa4beTfxeYS/Qne6U PeHenLO++U48pZ5Nfvv1Jk1IfjP1VsqTWob3rL02SvbWxuHflsfK+1qE5+SB equ6hO+63qyPknt+YO7R0cRzk++Cen4Men5y78vzyoQ9QV5QDQxHz0q+m7pD 49ALk71RnjgE/Xjy3dAdbo6ekXx23ZmG6Gm51sqJalk6/G3V9D+4EjqU "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe81/MXx2913+9P5WrcVCJaRihZhShJaZCRosgoe1X2nj978/v52Xvv +bPahYymQhSpUEJ0lSTxez0f5/V93PvHuec9zznv9/uc8zqf720zYtTAkbXL ysrG6E8d8dtSWdmXouNF74rGlpeVTRHNUftm0XDRp6JbRCNER4nGaH6y6MJc VjaqKCu7W2Pvi8Zp7F3RbLVvEh0j+kg0QWPviz5Qe7z4e6LP1b5VdKxohmgS 86IvUth0nGie+jNEM0VfqX+H6ATRQtFJohNFczX3kehj0Xz1b/dZ3kgxPkf0 qeenId/yZok+89h00XitXyH+B7Z5DN3TND5RfKroS++bLXorhewFom8si32L zLH9B9FCzy+0Haxb7HlsWWKO7KWcU/S1aJk5+8ak0POdx+Za1nLLRudPlou8 VdbN/K/e973oR69dbD1zLGujHGt+Ea0tj3ug3VzjTUUnS3+V7cOu1ZaNvN/N 0f+b59G90jqXmi+wzj8tG7taSW6lqIlofXnoQMbf5pwjp9izTvSX5bLuH89j S1kKji3lKd6Qc6QUnP2nqL1GvLZ4karl1fE4e+qmGMOWxin2o79+CpvQuUEK js4y3c0/4qcyn0L2hqKGKeRiS1NRPcuotLzCZ4ajs5HXJq9d7zvYyPOMNbMM 9O8s2kK0pWgT62wg2tQc/W2tm30tRBVe19Lz6NzMnLO2tk3obGPO/s09j+0j Rc1r6Ka9sWgrc/Rsb1nIaG/7sGsbc/RvZ93I3tr7NvGb/Oo33tZrWXea7UdH J8vmfKNF7UQ7ijqm8Cd0d7Bs+jt5DTbvYru3StV+w1vuZvvQ2UO0g2XubY6M XX0e1nWx3fR39z7OdKb37iXaw3ZgV1fP0+9pebxhN98XZ9rHY9i4v2hPz/cW dbbOfc2xpW8Ku9Hfy/tY18fzzPXzPPrvFZ0t6i7q7zFsJG+T78n7+3lsT1NH 23ef6Byf637Rub6nh0UXWv8joots779EV/ocD4ku8PkeFV3sczwmusT2Pim6 3HY9JboihS2Piy71WR8Une/7q624qyW6Su2rRQeKDhENEx0mGmI+0ONJa5eK TxI9IDrPb/ujaLno4BTYBHaBYU20vlJUV/SLxleIBot+E1WJhqbASjAQLDxC 7UNr6EbnoBTYB9aNN46AgROcf39y3jw6Be6BfzemwMwPywPrwDfwBnwEf8Ah cBVMBtvAZzAZbAMzwT0wCwwEJ8E5cBuMBefeTIGLn5TH/rnGgI+NJ3NNXztX g4FgGZiF3HnuYxN4BW5N8zz7wXNwm30zPT/PtNjYw7qF1sG+EjbOsU5w4u0U +Dq/PPIZeZV8WsJX9uDrxDFx+FUNnClhZ6m/0jllgfvfWd8PXoes5e6DdWDh Cq/71Vi1yG+13HKrLHeZcarK+1fV6K83vpQwknwzIUWdscZywaW1lrva+0s1 Afe1wvNg09gUdcC35dUYud57/nF/pXWW8ug668AfFtgn0F3Hd1rCSLCHteAR +IQMcKfwHBgBZiCLefagG1xiHbrBpnqWy5tt6Ddr6H4JO+t7f2PLBT/Bzgrr rvQc+8j/m1oHeNTEOpq6j6xm7p+eAieaWzd4Aq6Qw8hle6RqzGtpHZu7X8LO TVI1NleaWnkdY63dL2Ek/VEpcLGddYMvYE0JF7e0HVu7j4727pdwsb1t2tZ9 bNrOfXR3cL+Vz9PBZ25bw47tPXdGClzcwXaAKTvZjl3cZ08n72nn+R39Bi1q 2N7Ze7APTOlim8CU3WxTV/c7+I67+mxdvB8d3fwGZ6XAyO62DwzZK1VjbQ/b 0tN9bN3Hfezo5T5ye7tfwsXetrGP+9jX133s6+c+9vV3H3v3cx/79ncfbAEr DhJdkwJjwBLwgNwO3oAPYMcgz5H7wYDrU+R08jm4McRrmAMnDvfaYe5Xuc26 61J8X4Er/xO/wbK+E92TAr83yP6u0ppXxO/ye5PDwYJpzsnk/OnO4eTkGc7h YMRM52fywSznc7BmtvlJbr8o/u8U9X8z6V3kds5RTxPrd6aof/Gdl9wvxeFp 9qVnU8QnYy+L/puqYwaOnz6XIpba2SfOqeEno+0jz6fwb8ZeTfHdWfKnM73v hRR+1t13NNx384T4ZX53/Oxcry/3ucbbt6hVetq3LvQYPnGF/YQ56hD8E5+7 yGvxuYs91s+6+nrP5R7DFy/xWnztSstm3aWebyx76rm24Q1v9TviY/jhIfaR a1PUHmvEp6Rqv8NnPvC5b/bZ7/bdcW/4wm2p2hdutz/gO7fYf14Xf8b68JE7 7Cd8D+IPYBDv/58UeDLSb9rcb3WX3/FMvxF68d17/C687b1u8w73+S2oy+73 +3DHD/ieeZMHffe8yUN+F/wLf6vwOzzst+COH/U98w6P+455hyf8FrzVI34v 7v4x3z+xdZN9hzd/0m+4VvS06ADfC/dzoM/9rM/OuZ/z2Xnbp/y+nPsFn3dJ irgijoiJl3wOfJ/Y4C7x8Vd8l/jyq75L9L9mG8hLr9uWihx5gdpuQ3PqKcap +agnG+SYo65qaE5N9E6Kemu+19CmPmyUYx01x8bm1ETjUtQi33rNWO/FL8Z5 nLxJ/jzY/kFsUcNMTFEDMUbc0f65PPxooscne+8A0fcp+gO8n1qEmoJ6frLv gdp4Zor6mG8Y6nLi4r0U7Skeo09epb7nm4e1U1O03/XYVK+nXud7gLUfpmi/ 57EPvZ46nvqetR+naL/vsY+9nnqdup+101O0p3psuteDE5yBtTN9HuIXvyce iAW+C2bV8M1PUnV8z03VsftZqs4Z81LEOnmB/EBuIHeUvo0u1h2OLsI3ie+v U+T+cRoflCOemL8kx5rx4oNzxA2/+V2UI7ZPV/u8HHFA7byxf0saqfELcsTE BPFDc8TlWDA0RxxTb5NT8JlJ4kNyxOs74gfnyAFviR+YI0+8KX5AjvzxhviA HHml5KPIGSM+MEfOeFv8oBz3SI5v5toeX23u37WwoYXr/nr+5iOuf03x7cd3 3wq3h5qqfI9/eR1rqAV+dJu1K722tJ8a4CevIS7WuU/7NN3V2Tni4FS1z3Se bWKbiCfwoF6u/tbFzkE+dwufHdk/W+cQ6x1q3cs93sK/6bGeHEBOIFd0lN53 c+StYeLbF/Edv6P4cPWXpahNqauos9po/PIc+RrZlbazdxH3zp13VfsUtVex R+2TctzXLmofn+P8r+MzReSCDcUrivitt6F4oyL8sol4xxx56SXeqog8xX00 tt5OGjsyR86oVLtxEb8Tl3Iie2t5/VW+v0rfId8g9XN8h1Db0K7leCOvkj/f cBtcIKdW1Mi3DSyf+Qqvx74GzrOlnEueHOM2uRf9TWw/b9LMPlnP43U91tR+ C+Gnv/h7sFGultfI8ls4Blm3ue5gU9G39jPeCV3jHQ/I20LrdrfNz4qPylFD tBb/KkeOWoa/5MhPe2OPZH5DzlD7yxz5bon4whx5rY344hy57hnxdjlyWCvx eTly4+b4XY5cytt29R0+In6WY6GT+B45MGIH8T39Ll+If5ojF08RPzwHVreS XZfmqC02E5+RI5/PFZ+VI7/j40fYz0do/U45sPdO8dG28ziN75IDe98X3ytH zdVWfGmO/Pyi+As5fOFYrd85B24PV3vHHNi+r3ivHLVSC433yVErHyP+ZA4s P0rjt+eoJ0aI76T+D2rfr/bIHN8EJ4vvVkROmcl958CzU7kfja9W+wS1OxcR //zW9YPfvKXG78uBfado/nTLxOfLfJ/4QrnveX2KeCVvEC/81gb+TvCa8ZYP BoO/k7xugPf95r1805Anj/SapbZnsfWhq7XsuSxH/bfIcyebL3Eb3+X7hzw/ 2XqRt8wyseFP92kfx1s5xonlwvcPzz5vfbeJd+50vW2mjmSM3w8mav6wHLXh ZPGhOerHqeKb5Ki/q3xezsi9gweDfffrfN7XbB+2kXtqOd6xgTeoZRmrLedU v02Fz7vWe0u5qbbX/u711I9/pKiDW+o+O+e4s3ZqX5mjbh5WRH4kN9YVL4r4 Xxn3dJPvqq3GrshRcx9cBGaD14cUcRfcwzXYXkRt/V2OOCfGHxZ/KEdd+4r4 yznqygdyxAzxsmmO/EJu6S5+bA4se1r8qRy17LXiA4uoxa9Te1ARtfuNxHgR 9fQ+RdQE1APgT68iMAg/6lmEL3GOfYs4C3mSXEVu3K+I+oPa4yrx/Yv4ZhhQ RN1DzTO4iFqEOuQG8SFFfAMcVoQf4APXix9axLfE1cRBEd8SzxOnOb7d+xRR x1DDkFMf9Nk/FP8oR022UrwqRz23IkcuJg/3yJF3yDlrxf/I8T/YMsmsVURt t05jf+Wo+chDvzgXLRf/MUe9+Lv4mhw14s/iP+X43+wq8d9y/I83SV4u4n/A dcRrF/E/WPJuT+eEv8XX5/ifLTm4t+OoQxFvw7tsU8Sb8V7bFXF33Fs38SOK yA/bFnF33Fv7It6bt966CN/Cr7ag7sjxjXeC2rvm+O7pkkMWcrppvHsRfr9V EW/A/W9ZxLvypuRysId8jrz+Rcg8sIhaljqW+OhbRIyAJ5/nwBTy9Dk5YrFv jtxNe3YOXAFT5ufAM7CMnPqB8yr406MIDPosB86BcWDjohz4SL6/N0fO36uI Wpb8BsZ+nwNnwdUFObC1Xw5cAVPA85bG9Nty4AdyvsmB2eB1vyLqYGpgYuvo IuJr7yJqaOrn5kXgK+97IrWZqA5xlaOmp54Hh6lNwWKwCPzgjDfneBvepX8O HAVDz89R91Pzg1HTc+DUGTnqWmpa9BydQ9e0HPgENu2fA3fB3KFF4DqYXl/t DYr4/Xq/HFgLzoLnn+TA9P8DD4U/qA== "]], Polygon[CompressedData[" 1:eJwtlnmwl1Mcxt9uv3OOfd+GsSRbi6Z9QwuVttttlUru7ea6LWgs7bJlMBRp 77ZbsqWUGsMwjFAXWW6olFDaKIqoKHyeee4fn3mf73vOe35n+X6f86tWPKz7 HXlZlpVBDmrELAspy74NWTYJLif+B75BPwldaSuAe9HPQELXpP1p9Caog14G bylmwCPov2Fg8BjXoRfAEvQ2eB49Bmail8MJjFeLeDL6O3gOPQpmoJfBs+gR MB39GhxE/wnF6K+gJ9/3gPv0LdyA7gX367fgRnRveAC9SGPw7VJ4M3jOl6H/ ih5rIryOXg5vo9+BK9AZ329APwXd0d1gnOYGE2gvIc7j+TDxKzwXw0p0IWxA b4Ry9Ifsz070LviceA3xfPSdMCV4jzajN0X3/YS4CmP/R3xL8Bzyks9MZ7VR e4beEt33I77Zjd4LXxIXwWf6LY2HXkX7DvR2WJ3zHD6OnrPmugquZvzyaH0w eK8Pw9fBe16hsaPHWk3cX2PD++gdwWf/L6wPzgHNvWryXLWGtcSfqn/Oc9qH PgDr0AOgC33zYSx6IeTQxyTnWgkciz4xOVduhVbolnAPugzW6Syj5/YBv7Fe uRytdQbX0rc1DEfPhum0dYDb0S/Dj+gfovdyLfFW9LZorT2bge4Iw3TWMBPd SWeIXgwr0SvgXfR7MAvdGe5Gvwp70JfChOAzaosezHwSzyrER6NzTrmmPTyJ ttPge3QpnK9apH0Wejv8EZ3Dyl3tYTva28JI9FwYTlsRccZzqNbP8yzirei9 rOdQdM2r1nXG7Wm7Hkah56nmabuG+BB6KXRGd4Ix6AWqN32f7A2qiR7ElxDP D+7TU+tN7qsz7aX5Jp+tPGWR1irPUO1Bb60/ubZU0/XRk+VJ6N2qP3T15LmN hmboofIE7YXqHV0j2QvkAX2JayXX/oMQk3NKuSTP64e+KTl384PPoh3fDAk+ kyZQyruqPF8MzvX+xIeDc74fcW3iF9APQR/imsneI8+RNzSOHlse0SDa4+Rt ypmraL9NHhS8hkbEU4iP6HyCvfY43m0O9lx5U2vlaLBHnZnswfJevdPZynPl tTrjRtE5o1z5CY5PriHVjsbsQvuFybWjmsgnviC5r2qqBfpcmBacA6ck56Ry cQsU0P+i5FoaAY3Rg3m3H/0b1CUujj67ncG5WLcy15WTDTSX6LX+Ak2JpxIf DR5Dd8PJyb+lO6IrcTXiOcE53o344uRcV852RHdIzg3lYMPoO0d3jWpQa2lf WQta00B5a6V3F8Cg6DVo7vs0p2hPlZd+EVy7+6EiuIZ/j/YweZfeDYhes9a6 S3sY7QnygqnQUt4Ej6JvDl5rc/ofCF5zoWqxMteUc0Oic1y5rT590X2Sc1k5 Vwd9ZXLujQ/OzYmV3ytHm6LPg8eD76R56LnRd4/elVSegfZ+D7RR/iSfpfa4 Ou0/R6/9CViDbhU998eCa7Nh8req0TLiFtF7+RLcFX2n6i7VHXcGfU+Hipzv YK21KLr2NefZ6DnRY+uOaINeGL13qsnm6CXwRvAY9aP/I+i/gTy5XrRnyavk 6YX81qTouaxQTqJ/hfKcxxgX7dHyZnmqaq9J8tmrBpsRT4teu745h7azk71T Hj86+k7QXaD/LCOj7xTdJfrPUqqziP7tR2Bs9J2hu0L/geR99ZJzRR54Kro2 7wYFe/7/2RtfIA== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{51, 1, 5, 9, 13, 17, 21, 25, 29, 33, 37, 41, 45, 55, 132, 232, 158, 180, 237, 238, 176, 233, 159, 181, 239, 240, 177, 234, 160, 182, 235, 236, 161, 162, 157, 179, 175, 231, 156, 229, 155, 230, 174, 228, 154, 226, 153, 227, 173, 225, 152, 223, 151, 224, 172, 222, 150, 220, 149, 221, 171, 219, 148, 217, 147, 218, 170, 216, 146, 214, 145, 215, 169, 213, 144, 211, 143, 212, 168, 210, 142, 208, 141, 209, 167, 207, 140, 205, 139, 206, 166, 204, 138, 202, 137, 203, 165, 201, 136, 199, 135, 200, 164, 178, 134, 163, 133, 242, 241, 131, 197, 198, 194, 196, 195, 130, 191, 192, 188, 190, 189, 129, 186, 187, 183, 185, 184, 193, 69, 51}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{244, 243, 247, 560, 551, 552, 550, 554, 553, 475, 556, 557, 555, 559, 558, 476, 562, 563, 561, 565, 564, 477, 531, 598, 507, 549, 479, 547, 478, 548, 474, 246, 245, 244}], Line[CompressedData[" 1:eJwl0tlOU1EAhtHTiqJVBA2K1gHqJQ+AKKDihFKstBRLi0Kpyqit4rv4bF46 gDihMqhAEFg7XKx8Z//JPulJmqrUctVYFEVveechwQr341F0j0v8du7TY8zz mhS/7Hf1KK+o0cZP+x1NUOUlrSzbb+sRXjDHRX7Yb+lhZpnhAt/tN7WeaaY4 zzd7rx5ikuec46v9hh7kGU9J8sV+XeuoMMFZluzX9ABlxjnDZ3uPxhnjCS0s 2rs1xmNGOc2CvUsjShQ5xSf7Vd3VES3QzHvnDt3Wk3qCHc9v9L926ge9rB/1 ijaQZtW5X9d0QI+TYd35gf7Rh9pIlr/Og/pPc9pEng3nId3UYd3SMunw3vAu MuFd4T7ZcD/cIR/u8IhC+DaKlMJvC99MO8nY/n9qD/SCPp8= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl8z3UcwPHvZpVI63IUxVKpCOlWIp0qZNWIDnSXtlY5dmhssbONjQ7F 1mi1teVu65RrukUHKYoO0YHolPL8PPzx3OvzeX9/O76f3/e3hJEpickxURQl +ZLaJIoeiY2i8rgoOpGOtKQVZa6N4X/eZRc7Gc9Vrvfjcq7kCjLNL9XL6ENf LiHD/GLtzYX04iLSzS/QnpzL+ZxHmvnZeg5nchY9GGfeRc/gNDpzOmPNT9FO nMQM+5P1GT1V39Nu+qx21ZnaXT/Q0TornIGWh/vVDzVdKzRNn9MM/Ugf1dnh DHSOZukanajP6wSt0mxdq7larZO1RvP0My3QWs3XOi3UdVqiC7RYF+oUXa+l ukin6mIt0y91utbrNG3QJ3STPqWv6ZP6uj6tm/Vv3qSZffNwJuGcWGbWNHwP hxDHUrOD9XuN18Npwtv2B+l3WhXumw4ssZ+hU3SZZ6qRROt3ND6UffxLjddt 1Wr9UXeEv5FGVrGSH5jn+tRwP7xg/WJ4/1hhnxDeO+aHswrnRguOodT1vRxh fSSHcjRH8av5YbpcI40hln/sZ+sWrdRvdY7+om8x17pE/+JrXrX/Rn/mDV62 L9Y/+YoG+436U3gtdfaP6x98Qb39Bt3OK9TaF+nvVITnLrw+3J99kc7Tz3nJ ujC8t+F3ssh+bpizh0/CzzP7VNvrCUziMQrCMxLOkpxwnrqb31jNYrOP9Xht R6V1puZrWz2OY8NnMXzuyAvPIG2sW3MdA8kKzyTbeJ//wmeHa1y7lqsZQH8m mCfq9QziRm5govlgHUISQ7mJbPOb9RaGcRu3kmM+QkcynDu4Pdy3+V16N3dy L/eEMzG/X0dxH8k8wGTzBzWVFB7mIXLNJ3mWM8kgnTTGMZYxjI498D91PxL9 t4M= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1212, 1211, 1415, 1562, 1735, 1599, 1734, 1600, 1736, 1645, 1898, 1646, 1692, 1691, 1564, 1740, 1741, 1739, 1743, 1742, 1565, 1745, 1746, 1744, 1748, 1747, 1566, 1750, 1751, 1749, 1753, 1752, 1567, 1755, 1756, 1754, 1758, 1757, 1568, 1760, 1761, 1759, 1763, 1762, 1569, 1765, 1766, 1764, 1768, 1767, 1570, 1693, 1694, 1647, 1706, 1563, 1592, 1708, 1707, 1738, 1737, 1852, 1527, 1417, 1217, 1216, 1215, 1214, 1213, 1212}], Line[CompressedData[" 1:eJwl09dbT3EcwPETDWSP7FFWS5kXRoiKVFJJwgVxwYOy9852bV3ZFy7svec/ 4NatK2STPV7fx8XreX8+36dxfud3TnJNXXltTBRFn3geG0XPWBgXRZnxUdQu IYra05q2tCHDeUttRXMSaUG68wRtRizxxJHmvIk25a85RiNSzb/5ww9+8ZOB fOM7X/hKIwP4xGfe85EP9KeBN7zkNa/oy1mWcZCR9OMt7zjHeUYxiA6uqSMX zBe5RBadnOXqZa6wgsXOlusxjjORJGcTdDTZdLZ34ar5GqtYYl+pJ8ijgEXO 8nUMg5lrX62T6GqerN10LDmctA9hnrlQD7GWpfY1eoqh1Nin6GHWU2tfp6cZ xnx7kR5hI3X2DXqG4SywF+tRNof7aN+kPXWE9tDu9KLEfp1x5vFsMffWqXqD 3HBv2Gruo6V6M9w3cx7bzMk6TW+Rby5guzlFy/R2uCfhfrAjfL9arncoDJ+V +vAda4XepSh8BnaG50Sn6z1KwrWxKzxXWqn3KQ3XwO7wHOoMfUBZ+F/sMadq lT6kIvxN9prTdKY+ojL8LvvM6Vqtj6kKP8N+c4bO0idUh5kD5kydrU/Dc2nO Yo653jtZTA7ZpJBEIhGN3tsGXsT+f4//AUNea4M= "]], Line[{1414, 1362, 1366, 1370, 1371, 1372, 1373, 1526, 1644, 1851, 1643, 1849, 1642, 1850, 1684, 1848, 1641, 1846, 1640, 1847, 1683, 1845, 1638, 1843, 1637, 1844, 1682, 1842, 1634, 1840, 1633, 1841, 1679, 1702, 1632, 1678, 1631, 1896, 1895, 1591, 1894, 1677, 1885, 1733, 1629, 1839, 1884, 1883, 1597, 1590, 1893, 1676, 1630, 1636, 1635, 1598, 1690, 1681, 1886, 1680, 1887, 1703, 1704, 1639, 1414}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk0F3sbB3BLiYi3IllbRBS5VyqUvpbsS7LddJV97aKk0r1FWUKiRVqU kGxJUZKQNUuE/sh2yb79//+ZsSVL6Z33/Z0zZ87nzDnP81uemXm2OPtZunFx cHDU0Nf/7uWv2p5Xq1O4/PXtdvsbcyh4ypLVMKFwXkX0WbvUHOyzOVVUPSm0 eVkxgxy+wX78yQe3EAox3nlfXr6cxatsncnhBxRe1TuMlQvMotvffqLmBQWu gx+0jc7OwLqFV2JzBYWK3kE54fFpyL5WiQ5rpjAyfkVe6PQ0iuL9shb/pWBQ kd3dxjGN0xPerBujdPwkflHG3SlQG5y9jlAUNvY/KLqsMoV676lhkzkKWY2G +n6tkzga9K0peomCtIVSm+qFSYheSC7QXaaQIzT4Nnj/JMJ+3ZRcxzGJChsP t4lfFHxZfzbdp70yzvVP8jqFeic7/kLawqkS2l1S9Dyvy42epp1/Pq448BWJ bEXtJHvazU0MjZUpJGxmtycfor0iJNPi2Q0SXyL3sBRo/6V2ot4jiIR9WnmI AG1p7pXnNH1ISGl+P8lH2/fkmF3ESRJ3fjM256HNr7jrH4YXCSGxIgVu2ko5 n7okPEkUHH8Xz0l7m8mpjdoeJDj+Pybh/v9B5+dVaPxBr2NP++HcaDcSvm79 dxdoT09d48tzJSG6fFJmhrZDZXL3kjOJrcTvT9i0hYKocX0nEu5uu9eP0k5/ 4K1624GEGZdgVArtzAED7ZvmdP5bVql/0Ja2afiZpklCayHTnZf2M671Gq2K JKSPvul4Te/vASq+RlSSxO9LSd7CPyiUHmgXdX1F4KFkQkjiPAWXuiwjHVMC uikJvVaz9D6XZoZcnWDDOjVM/gB9npJ7rf5ddY2NQkfLX8cmKPBffbUzWYmN y/ZWGjx9FBxzvPxSMlhwPvui5lcLhcQ8SQZ7OwsZM6WFttUUPHTYnyVeMOHO 09khVkDh7dlBe4Y6EyGexil/pNH1HGWSUVg/geVLusbScRTil98gzHEC49N5 ed7n6XpdqVdv2TYOJbFawc12FCwzGKbuFuPoc/EXc1ajINh14zfZtjG4JEXG WYlQEL9ydRePwxgmgypMN0yS6Kt5JBc7OQql3ZBrqCOxk0Pc0DxyFFrvL4nc TiIxpFtyeVB2FBuLLHq1HEnITRfwbUwegbHU9q0BUiSS/BPi57eNoDn1cnZY B4FzO5+LZL0ehtb6Iq3aWAKnzuyr9jQZRs68/evrugQCy2qFY1hDuKEvwdwy xwaf4EProLgheHhPsJvT2Qg6fnguX2cIhhEv7htqsbG2kvHAeHQQjWsDczM7 WDi4JkG4P24QR5R7CC8fFlIVFo3yjQdxvzZ48gcnCy31dSkSqwch9jE9/GM8 E1VOO4ovMgawNVVrbpcCE4n57m/NkgdwyCz2WFjJBBiPLyytPTeA8Vt94u3K E8jdWxU8aDgAzrAXAYpPx7HjZtrKRtkBdGan6guKj+Pyxa71fAIDiA8PYlG3 xqCh1+Q9sNiPfNPOx6oCY/BgfqrPnepHvPZcr3LUKD66tRv3Uf2IEQ4pl+Mb hcrDaJn+2X4sp6/Yqec6gi87HwfsWDkA/WdmLR7Vw9DO+qx2etMApksXJhmK w5C34jXI0hmA19MO++yEIUi5e7HafQagEtCTtEJoCPv2rpfnp9fT/a37ZXfU IIJsQ9ucOgdQdu28vjj/IFKDb57n2DCIi88dVCPdB3DvxNWWHf6DEJrO9Djb 2I/nD02mG9oGcfmqy/Uj6Iel5c2yn/uHsNv609TsuT6sMo6z5kgfgmaraEpE yFfI8O7u0Fw7jC0Q01hM6oVcTsga84vDKHncuJlo7EF8HSGwMDKMQ1WV+nz8 PbDuPXhHzWwEG+9JLbPV/4XqP2vahCpGILYhpzH9QjcSyWzRSOVRSIj6UQF1 Xdi/f5Xf7L1R7LG3uVayrQvRx+Z+kgujKD7Svn51TCdkymb0zG3GYOO0YPEf jk4Ih1p3iT0bg8mmJY/0ix3Yv7bPOHh+DN/e8Byt5uyA+9f+hVqtcejdGZMO j23HT29RSYvQcVSHKpaKbW1HZ+Be9eDycaRzv9f7XPwFDbyamyrnx8Hv6Ngi Y/sFe35O/5Cg68KsdlfD7Lc2tGcI9H2n3z+lm1c+Fia0YdrE0rEhdgINpQa+ 33Xb8NvR6E/c7yYwP1Y8ZDDVCqr3iMzK/gnsj43KMX/SipHz1pUKK5i4e+JH RbFtK3quC0ZUyjLB17c0YijYim5HT4jqMVF+IupQYV0LqCYJEw9nJmRCMzVa w1tgmKf9B/MSE/4uGX/G7GtBrES4zZFEOp6vZnE2m4FFPfnbj4uYEN8Zn8Z8 ykBwjuOjde1McHCWPxB0ZICz3UBkmGIi3/LJ4qAUAyfn3upq87LwqDXhh9rX zzDLOuN7ZBML6+rtS7Ynf0aiQErlhT0srOk5qmrr+hlORPbz68YsZEVH7kzZ 8Rnhd17Gp55gIeFYswtjpBnt7x64tp1mIZLh47rp72aIek6JqISxsNgppvh9 bTMyfezUGuNZyL8W02x+swlsl6zQsGwWNp/xZPeub8I6TgPDHeUs7OBdxWX+ qBGGB3hZX1pZ8L19PcVCoRHtQl5vH46y8KSvyP1x0SdoLmmejplnYdeReqm5 w58gzDVaUcTHhmKgyGrJiQbcMV0Z97s4G2Z154y6whvw6tSM9bICG5dqas2X ZBsQmZK2R1GdDZODxf4ORfWIaY0okTZmY8vuNwPdlvU4o8bRZnOMjbYF9Qhl 6iNu3Ypw+urFhnR3z4ltNz4in0979YdAOp8TQYapfMQLn5pjayPYeDa4q/x1 Sx2mj+41+hTPRgTZFOB6rg4BmxUjiVQ2Al2q9Fyl6sB932QoKI+NcuELdmG1 tTi5ccAgqpSNrtr9jg8CaqEmtqZPuIGN75cy5CP4auHH/0Fk3790/gW5XTtT axC3IlD8NpONxByls6raNTjueCFPdYGN9NoGe7uhatyNIrcoriJQZipfaxtV DW4ZeZcwYQKcTjHSC5LVUFNulQ3fRkDy4FXG2JsPuMLlFpWzm8CUpHp5qdUH OG9NGBfUIbD/wJMmmbkqOKI6vfAwgeXQvSHVj6owcujSg0J7AleCLy7aGVTh 18KCuYQXgWtGOua526sQq7+wPteHwJveYOo6bxWMpDzW/eZPQObQciB7ohL3 nrkOPTxH/18bE9IaGirxY2aH0OzfBARy3U23v6gEq54SUw8mYGaQX88IrcTF l1vlLMIJ2G7THQ84VokSM0MF7WgC+8KzuXhVKqE7rxO95haB+36J/SGrK9Gv vja14C4Bv7TDWdk9Fej96+jCoUQCs+fTrVbkVuD4rm16aakEPA2jeK6EVYD7 TJpvVxaBVKIzYsOxCrxiyusOvSTAsIxMMFlXgZ627/c2FBFo/LGxL7KxHEv6 GZlfqgg4DFtlJkaXoysvUUa+ke4f1IcPHDcth+hMhpRIOwGlSdN7j4XKca8u eU3qV3r+eVFrhGfLsMUt/Gf2AIEbPjKekR/LEL5X0CxrmMDZ32u+3k0qg7Sj me7DMQIv15kpHjhXBkn/4s0hTDq+qoq7slEZPAUuNz0jCBjstp1tkSzDxU0B 12omCeg75jdunSqFx5zB0y8zBFS+KfBJ1JTi/fikZ+ccgffmE2qPzEuxKvcO j8ovAk5WRfTn+j0EqtnJyqtI5HBdmxf3fY/XVlz8HYIkRuUSwsNXvEf8Zv8U pQ0k/qMd8okvqQRFV4xs1Og+IKaQxc1wLoHZJeli1y0klmZiApa3l6BdkrA4 L0silEf3czhZjJfi/TynFUicIq3t/ywoxj9ZM2WWSiS4y2w57W4Xw/m1nWuz Mgmmu1pQr28xCnwkHXRUSPxV8XxsxKQYP060jmerkgjSfefpp1AM9Q8B+wT2 kVjVf7CpZ6EIQSp73Kw06HxCuSIHGoogLtl1OIru/3T54pSuJtLPGXcuvdAi IfldziT/VBHig0jfKl0SGs7BfwjuKQJPwf3YHgMSId1cf80svsPf1gLJXSYk /gtjQkqQ "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk0lVsbB3BdlFQaRKRLSKmo0HQN/UunwawypGueUkJCMjQpqXBLlNxG IUVFSmaOeZ7nDhnOMZ1z3jc6OCXle7+719prr9/ae6/17P3stZ4t7+h11OUP AQGBRqr/f3QoUCqTu8vHTPwrJes702jqTak1eMaH6h3aGwn2FD5KJoZ3pvNh WaQh6ac0hRvWhu/D6XzslrpYl+0xiXebX3l4N/DhyRJLu1vMQw+zIsu0m483 Vtr9Omo82DcZXWwc5GModf+zoFffME+L2c9j8zE/0/tL6vpvKDht+q10gg+t gN/bdVMnEOqd8f4An4/eUDKweMcEpAn5FZd/8iEnmPcpp3wcKQLuRdm/+OAt nol+GDCOBKmpA8fm+Hj7MlJ6YOs49l8QzTYV+A6eWdwRdtNXDK0IXP+BskIi znsf/IqHqzqeB1OOcp6zUaSTWL3E/oorZV+XmcaYVBLM0oxsQ8pt5pPlsrEk OpbXGmylXC0rI14cQkLm3wQtMcoNnrTwIE8Sn3ZL5IpSvru3a8zvDIkoP+2t CyhvyWkIPXuaRE+L9CNByuLpa+zc3UgMSn9qmEd553ophttJEgL/te9w/a+R eD7hqfKbOo/QVqtvTi4knhmGW8xS9rN4EungTKJyUPbld8qCguWD1o4k/APd uJOUzRhKfsftSSx64LZxgnJd8UeamS2J2OAlkdWU72Szgnbpk3gou+3oU8qi wf6n1HeSOOhSG+hFWfE8d5CmQMJUr0dEh3Js+/xCTzEqvr0VCSHUfa8Q4KQ2 3STQs+rCS3kqHzLNwjK0BQS8VOSi1nznY67zcn/cLS4ybqUw/Sap/JseZyUt 5cI/pufPbeN8DO+KJ/bEcRB5cTYoZpSP1rsdXt1cNpwkF9k/7uOjbyMvJ/cQ G3umBVxN26n3xlPX8Hk9hv7usE051dR631MaT5aP4dapnQZ9+Xz0nFFuZFwe xSYtRdfad3xMLzs60s0bgfk/P+0Rx8dJT8cfWzRHwLHSVwu+yocupzrd4PYw RO/0Tj48ycfNDKPCUOYQvH7fz39jwAddv1+RdmAI2c+yQxtUqfcnOUnOvmPh mF2vuoQYH7eTkw9prGVh43q367Hcabj0NFX7PWRCfknYQ8OcaQgMz7qs7h/E oeHoubKQaXhF7CwK2T4I4r7IiK7eNK590G7IihmA0unj2guWTCPsnX1t71w/ ogodg480TOHXv10S2/z6oc+qC7WLnEKsu3Lez5E+vFJb4OWhP4ULGYENxvwv aGAMydlPTsI1w5YxNdCLrtojj34+moTbrFTcRVYPWluPayfvm8Q2b62Xcr8Y iFe/UFc2xIOG7f2ltE0MkAeMLdNv8qBkIakbdPozTDghy+ibeOhsi5QIyO/G ivUZ+rS6b3iq/VfaMrluXAwzeHHr6Dd8PKk5G+zeBT2z56t5XRNoWmSUcbOx E/U7M9zn2U/gdEdn0km9TihE675cPzoO728RpVc7OxDqp/itwnsc35Y59565 0IH03Usrzs18xeb8xcYjmzqwYrT4U5TEV6xq7tFtJdrxZrPwzZ1sAkEKx3KF P7bjRrEEzaSKi5H2Nz9Go9thaL42My6dgx+E0Zb34e2QF2ljPUtgw7pxmUVz XDsUPi9dUBQ/Bu0t+wu/5rfjGDOhWTV1FPnPa1IYvHZs0S/Z9Qd9BIctNX9e 0+kA0yH7fObdYcRtr9zMKOwAebXSwvr8EET6d9jI2HWCxRcVdj3LwpWud3vn r+nClWyXtBWXmKhyT1hjxeuCSV8L7crTQVhJ1jlnDXbDPbma9bFpAIt+O+o/ GvkMn+8ZDsniAzh9uSTTcI6B49niDga0frh6Br975dKLEwqSn7PF++AmGNYa 3/sFL/6MKpwq68V8EWeb7G39MO51dE152AO/Ya2ah1P9GGKRu23CGVAw1lSP zB3A0BtGbGXcZ5z5Y0jtc/Agbpg5HO+hd0NjY3++iCYTBjl/Pq791YXwVS96 fn5lwkQv11/IuAtGuyst5h6zsHfSsnR7WicKX3Qca8AQcE/13CG5Tox9bNO7 1zkEC8cTVQ6PO6C0JNua4TSMx8a+9L51HUg6Lz8dzRrG26uRYyZZ7chqnbs2 YTWCF9VuGR7K7dh7mz0jMD6CpyNL8+6UtEGmzPewq+Uo1mlfroh1bsNSH79T 8z+MosWtbL3HkjaYqIpmigqNQUtfv00hvxX7JuVaHhuMIa2SLjHh1Yo+HRk7 xu0xVPq/btqq3IpjSW32LSVjKLJakHyE1YKQj05V5yfH8CnR9XVfQguy1eIf JK5lQyziUpafawvW3QqIkD3MxozdqFPR5hakp72WvePOxhoLU3M/XjPipc/L 3Q5n4+uNmO635c14MeSbrp7IBtFBupvHNcNqoJIzL48NF1GzPFPPZoju+Bmh 1sTGdbpNYxitGdVftzJ4TDaShR9EDMk043XS2eu+02xofFptYDnZhFnTY6e6 F3Aw50kPrqtvgm60hOV+KQ5qYk5USj1uwo17inq5KpSNF2+Ydm+C696RhH5w IBl+d5O+ThPmJYpksY5wYCBWk/BraRM6w4M/ch05eBIovu17ZSMaiKQNUj4c uG/98sD1XCP6RhJUr4ZwkMZXUlsu1oiiA+ri2jEc9AjVrGa/acCOpWu6pZM4 sLnF0iw1bkC/yK12jUwODD9IrPTh1SNt+e+Up2UcmL+Kmd/2bz1mNrmbuLdy 4FGVk1tKq4dnaWh78gAH+/cpLXw3UAcvrqHm8AQHG3QHQzuv1iE4nesSOI+L UOsNo+JKdUhN+b3l3DIuoq0vX9KsrUVUm6tZtywXsjeH85R8a1F8wnEyR4WL ciMRRoZcLfiKdwfWaHLhsY1xp7i+Bi9i940sPMSFI1lUoXGpBotXXZ4JO8ZF zfJLHsS2Gpgfz7N9YseF4K4o37qWatB2BBXTPLkYFnAr4PpX445FxzurYC6k i/y95NdWY6pTymqIqle0SxHz99VWYeEpQ6nxB1wYOLDmKQVUwf5h9Y2rCVT8 +vtSuJuqoBikcsorjYt67aB0ub5KTOgGv5nM5UKstDvg+f1KZM1mEpIVXJxa W/T3MeNKzKn62zCauPjY+dtbdmElNtj61x5kcKF+wI374VUF1r1S+lUwxkVa 0zldNcMKlByarxXF56LKkpl4nFeOe+uIt7VCBAyJe2cnnpSjLbrUz385gStF H15UGpRjuVhRxZM/CZTXCj24NVgGRZ6vtJwqgWvP0xZZXyrDq5g+5xYtAnn3 aF/6Zcsw7vyWWalHYH21/abS0lLIH94gLGZJQHzBbbFPZ0rBOHK87L0Ttb7c IsdHuhSVkiVEoRcB4arU2pDvJVgxJfnzii8BQaH9zeu6SpBmxLVVCaDmBXOY 5tklsClklBdfJGA674LuirgSrDxzqm5fCIF1Y6ImFoElsHC3Wvj2BoFbhICu 3ZESKKcOc/6JIMA4fGmH2cYSiM/8aDC8R0Dzd/Ja1T9KwORuERiNJWDic+3E IKMYakopBQ5PqP/Gdf5z53fFuHzyaEx/AoHFmtI/JUKKwVMffqqWQuAsIyyc bVEMjyyPMot0AgsTE1d2qhRDylqk+cgnAi/bdeprhugwVJeQcaUT8A18n0mP p8Mn75npghoCihb57jft6SixVVqi00pAYplu8JQ8HffVN5qJ9RBQvhd5sLC2 CAfpjZFXWQScrFuXmsUXQVF7Vjh4hIBlQZ7Idf8ieAvvVnCn6tjK6NARfeMi ODcLKJsQBPQuaQcnKRXhAXvGXHmcwPn6mIrlPwrxl5ZT4CEeAdnEzytV6wuR bJ9QZzVN1UHhSCdefCFOh1U8svtBgKYw0WDvX4jSf1Zvt5ql8hUQIWckWIg8 oQ+rfIRIJCy04o5HF4D5t8KqHYtJzAk4SwttLIBsgeCbRHESNs2H5Wgl+agv Uh6sWE1CZIvIWx+7fBhdfO3wXJ7E37YihPW6fGjtWpmUpUSiIOe3XwI7D7kO nyszN5J4W6xiq5WRh+jk5+8fqZIoPHFeTzooD8SZdJ3TatR+C5Zip2UeVP4+ J9qtQUIOTcOrduQhKNQwYA/135x6GlratSIPu9qv0//dTcJQJUpg1UQuRI9w xUlNEiU/bnwi6bngtwm379lDou6v1wbFUbnovKuTeXEfieQpW4Q55UJoKl83 lUaiZWuXzV87c7Ew9aZw1SES5u7ppmXMHJyd21x11ohE2NXT0YdjcrB4W0wM 8yiJ/wH+ULGP "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Hk4VdsbB/ATMjQZI0mZSxlKuQq3r4yVriGJMlQKDSrcupfC7SJC7H2O eYpD5BgikoRkyJCpSFEUSWanlNLot+5fv/08+1nP51l7vWvttd53ybuc3evK w2Aw7pL3v3ZYvv7b/Pw89hxTSA5JPIiDXkoQ/TYPHtG7b1Sog2CdffVxpu4n FsjI7YuUsAPfjfMFwdu+g55ttLUat4FWnNmtk+/mMHZ92sIhzxpVPZs9Q3/7 DDE9BZ2Z85aglubz1T3+iK8+icGCYn+gc6dYJVfzA9SMyop44szh1jt+Kevx FAyeixjxHjbHd8PQtUZ9Y3gbs1A4/vc98LjT0Kt75h3C18VWnJK3gPdJt4Ka c0O4GyIklX3VCm29i6XdBgaQvnZMeHvWXsTcXL4syKwfNnpaQQxfW1DKg2Hu br04Ut82P7z5AN6I5vtaCD0Du0PG3lDMGSI/Hg2Wr+4CQywh4IqWC15+y3s+ JPAEoVP1+onnXeHfunxXu107RhnSIaH+J1CjNGPHEWyBjkS0g6HvGRiz9y8b lmyCuF1gQ4W1NwxfmwZa+TzEa9ecJ/cU/sKYzlr3F4p1kNGxG9jXfwFB3k43 vERrEL4lYZ+u0yX0RE6itb0aeaNbLyy6HAh+o2vNSdercLj2UwfnezDs+vhS vNgV6C+2/nqqNRTF09qvs2vL0aN8RUSXLwIi4zO5DxbehbzoUFP9rShUqBqk eR2/g0cikq9eezOxtFM8hcFbipMfu40YedGYODdZ6FRaAm6bz2irehxO+F3r XhRQjPks9w1dfIloKnVWz3S4hb8KPDdW6Kag7ZOcXe+eIpzgs2EcepmGuSWX NEa0CpHYfsz4sR0bvyaarYP7C9BLQom9yYBHpciKxoR8sMrUrFdT16HpbZ06 ezQP00XTt5qPZOPq/jnaeXsuVI48rJRyysFlz6+u/ityYeNr9GdRZg6Ysh7J /TMcRN0q/SwykQOZO2YdAW0ccGVLjfU2c1DBeyX9cA4HG80POG7y4yCsnD1T cJ2DABfp81eCOIgvFh/7ns5Bwr8GqYPhHGw2eBi0O5WDU3E23fosDuKerf/m lczBo6rjs+OxHCQl/vf8v41U8POojeeAna0XZEbGZQdqH58g37HZ99/Pkrg8 5Ra3fidxhsOyu2zIOk5ey0mlozgYTItpKCnkIPzeevW3ZF7F4KWPlpdxEDHp WrPbjYO+EPtxhwW5mLfdnvN+BwdCu1OqvffkIpQOCOqW5UBEIN/GMSEXDlEK s3Nfc3BjSOLOyuFc2EXGaLxsvoGW9u3ninILcCB3nbF/Xja2Ku7doONQBOEq T6OfqVnYNHp/vbxAMRbWqQ4Ep1/HlGL6tEZfCZZrMl/uLM4EtTqhM7a/FEx9 2UbHHxnIsJsZU00rw+CRs0+DLTNQnHfC9tq/5fAql8w4msdGy5qi7jshFcjb puWZJszGbqcc881FVYgf+TU2eDEdbEsh/Ufz1VAx6n8VU5uG7ve1O2KdayBi 8HTwdNo11Eq2nCl6VovaynUmAZGpCDkBqJ+oh4dhrPnPiBTEWIiVDUk2YFZ1 ZYBqUjIaa267XB5ohNJzf7WdZUnwPXrHIbahGYzAY1Zx0YnwORS7NiSxFWo3 VZWZYQnIPczhfZ3ZAbVrvPJ+8fHw8SuJM/N+gkUu7JXPRuIw+vzpRbX2TgwF bau3NYmDT8+XprBtTyGrukpRpzAW+9cwvU1LuuGesmKoUikWuVkRnwR0nyOr csB4Y1YMdCICe7e09mCnmPSqQc0Y4PDFzK/uL6Dc2pL9rioaU4ceSM0p9eHH arO297bROOx0cKJvpB+N2lE/TL6wYJhrVj1c8Brdv09aabOJfxMcl703gAVp XYWSNixo5L9awZsyCJ9evRe7l7Bw1FT2/e8X32DZ2M0/9VqZ6M4vZ1/YP4SS A7wn/QKYMNZVzW31fYvq+87NPHpMuOn+/TCaHkbjx0vpKQwm9BQenbua8A5m Rxv5tNtpPHEpb+ahRxAhaHKvM4OG/tLCTU/Pj6J/5HZKnD8NK46t1vFdYzDV vPiy3IlG84bMvRmLxlGgqLHqqiEN97lkqqN8HIr3mCw9JRqCujf074VPwMbd +k2DMA3Z7ymWJfKTkNhe+K7nJ4WYzg6xiaxJPJuXe278hsLHfrdVwtJTmHSm 9IdbKORnPV/wzG8KHqlRjPflFAqHdQynO4nNVO/ezaPg2PpOfmbVNJK0+aPz 0yksjPHpOOQ4DevKqGqLBAqLwwN5YlnT2JLgu+YbTeHzioe6bi3TEOkrOhp2 lYKNEju68es0bipnnj4bTsF99QG1iDVciLkubdtG/KpAfIfudi6Sgv1bIyIo DNULhcvacdHdMnV4ZRSFmQfWnSanuCjZ+PlZDpPC48+jqjEXudAMOifDH0fi uyq41lzhIpx2UM5OpuDaq9HzdwwXKZJnecbZFBg2YU2FqVzsXJeiWphDYbnq vD33OhfSLUdcXxRS8J9dPpyey0Xob6Om+8sosLUiE1YUciGzOGhStJrCAJX1 NaGYC23G2CJGIwVpuubq/lIuTm4VXe3ZQeFgtqIXVcaFbIy7B08PhUUDM8am 5cTxuF04QMHT+2ZL/D0unkvJWXiPUTiXzO+ZVMFFJtZ2msxQmDX8nnOokouO 9HNPVL5TaPolLDpLvEQh1VKIh4aLhISBaxUXB/fJzWgK0LCMa+mvJe5ScFRy WEIjvzClmPc+F55el3+EidJILt36SYPYLES2pUKShp3upNBu4sqQ8CXvZWgM zqrN2xNHxr90UpGnIcrX2+dM7BykvNhvLRn/yv6XI3GSmfinLnUasUY5C/cR zx0Z6FLfQmPnntNCpsQSTQ99w3RpbHvRHriF+MgG4bp3BjSy47f6yRH/y10d b2JG5sezokXEIU/Kgn0saXx+3Tk4Sdavn23YVGBHYzFvRmUbccFaYevhQzTk LcfLCojPhKSLrzlOw/BtoXwksYbUTwEHTxq7dkSpeRAP7Aqhzlwg/X8eizIi rhNeb3k5mAbTfrZ4JfHYr/M70qJIv21q4Qeyn2c0XFwqE2jw1NyMaiLe9zFi kU0mjZtLV51PJebvfag8VUCjfueIqTfxusbgovC7NDlvLQEzYl4D1ZUmdeR/ eCYsZYi9fyz9yUPqeXngxjAuOc9lp/ps63tohKWeLqkjlp6ROjUwRCPCXuFU HPHbxZ/WMrg0vrGdxE8Q7xm+f0XxG43SAuN8PWL1ruM+ggJMfDGXWCVA7Dw3 qDsjzsTCJ7l/d5L8adh38NGAHBOh2srVqcTmwfdtQg8y8Zh3pqiY5Nv1ZbaC 4TFM0N3r5Rrukv2Zu9b2rp2JvMl68R6Sn3WpO1+3DTBh8Yqx9L989WjpWV41 w4SzccCwCfEmU6sjt/lYYFRlJv+4w0XGgEp07zIWLOTHdbqIX3DqLRZIs6Dj at7MIRbjqDA3KLJgxy9ldYm40tqxWkSTBZkPpxotiQP5g+2/6rKwW8Vl4xpi cfVWu2FTFoZfCEZMk/rhF5kV+OVC4lWYv71I/OWff9RU/2FhVrONK0i8NWrh ZbdkFkZZkTdjb3PRLm2e5acdjXG6gS1H6rFPWt/L0jEakVVaUoG3uJjaILjs j9xoZPq2RxoVcaEotNuvYi4accXBSryknqVenZOINYvBhMPVDw8KSD5TafxP 42Iw1pW2xD+fi5G3sd17pWIxXzdbfJbcB/8D5Oey9g== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Qk4lNsbAPAhJClRJGkhFyGSpejW67q5+ispSZEkhVQiURQJ0dWidJUl S24i1Mx3kGSpRJaLkFDJJFmSfN/MWAZZ/m/zPPPM83vO9505513OUXH1tnUT ZbFYqfj99cujdQILdlBQeJHRdroxCsxksfCFPQVlP5T4UY6jYDVsbbffnYLj /JXSu0dHYGTgS/EWfwp0F1TqHUgYgaltC1PyIylIzVYuFOiNgPIDXet1cRSU FNfqOzQMw5/nd7nWZlBwwDco8O6ZYdDYpZRw7QkFQrLdqFdtGGqOPuoMLadg Zc6UUdiHIfBf9vHx62YKRm0KH38JHwJtGyI90kXBjvygukmjIQg82eGuyqfg fVFE7hAtgN550vXO0xTYJ78ykGALoKHhj0VFUgQEujUno30FEJ3+fKPoEgKR kb4fl+kJwMFmcbyyOoG23YYVLgI+uOpkmKusIzASaPvpSjEf2J/j/1LfRKDR nLo3GMWH2N/mN4MlgYFEJ7UhJz5MjLpww20J2Ht4TIE2Hy7nyDApTgS8h6fz p6d5oCjTp/XYjQDX3/XNxTYe5DcnM1VeuJ67Gzj6+TwoEyYul/AncMPxu/St WB5sLa4/GHSewElWgJVhAA9Sz7k6bQrF9zOTbj5z5sGxuBmBQySBqwoDfg2W PBgfPOXx5QoBh125YroGPKjqS17Vf52AZgK/XPU3HrQeCvuefZOAf02Gkqoi D2YqZJK0/yHQ+/XEewVpHjw3DH/hfZvA6BygBlk8KL1rePV8HIFK8+8srUEG VoBB4SSaSWyUEfYxUC0ea3sunsDZOidLbhcDeRNhx4fRXia7lD93MPBfReXC 4wkE3G8YzB5/z8DhV8llZ9Cj3VkTQWjFiXfuYehSp04dEbRzgs+saPQa3yfJ EW0MeEvGN/yDVvIv77FEpyb8+mB+7vtskkKLx+71SP31/M1C57pWBp68HVj3 AL0lqehGNPpKZ9lrCu20VUt2IXqX1ohNCXotuDTFtTAw2B3VVIW+3mTaqIxO 5VRLmSQSyNypvtypkYGCDzPCDPTOB/v25NUycERjTpbsXQImShyhShUDCk9C 1wSiP6e4RGW+YkDw1aB5JolA5+1vd/4iDGRvPnXBPoWA3Ypqh01pDIRkP351 MRXz1Rtr4HOLAdZTKV7oPQLCtLqO15dwfdGUwoE0jF+qtZlGAM4vc8fF61/M j8SEkqs7A0py17r17xNQ7A8IfmTPwJJkT7M89IaNv9dWbWVgbuNR+XG0UbPs /4J/Z6DzxJSGVDrmr95KkKTPwG7Z0oAfOG52oTJhUoOB9O6QgNPo1VkPVW8s ZWDb/fdOj/D/xnoDuEayGP+xzNXpuB65Fou3cZIMaGZSL91wvasy8rWPizBQ kl9qOoH7SzcQJPr+pIGbO6LvmUzA/Fzm6vOjNHzn94o8w/iU6FUedRTQoJ3W yt6I8Y6r2qdXM0jD4+72Y/F3sH8cY2rMv+P4i9q577EeVc+E1V3ro+EryyxQ JIaAoatWZmAPDUZ3/BWVognklN2q7vlKw6o2ORX1qwRyuc4eT7pocDOP42r+ TWBzck392y80aG2a360WgfNLDYmuQQ+PWRkqhxGY9NQpK+ikYRvP/NCCEAIJ mcGZbuj6pRp5kdhvf+SyYrTRnOqQvp9nCbhIpL+Zj97b1Kxwyo9AmmLDAkm0 efeihX0+BPzWLmuTRVfv5Qc4Yz/neX+b1kDHCB1K2zwJfArOOmaJFlvX1ROG /a/D8vM+i85vb2jXP0Qg2La8io1+HiDKdON50RU5oz+AHs6L2ZO0D/cvXqug jetfqBtisM8O9xt10t4L/WJJZ6riTjyPWvvUCVqpzu7jQysCHlWHq+dgPDzc pCrMLAj8aZBjdRg9J7TVpRMI1M7ZpluKLn26kH3ZlMA1xbcrFmM8M4pr042N CJgWBPX7oM0mRda90sX8P7+xnot+qeAq5aCJ9TkQMGrVTYOxY7zCTxUC6+N/ LniK7iv/tOnhUgIv8iqDVTFfH/KrOMryWG8x4gUx6FkhfhNJ8zF+WjOarF4a dNyiRFZLEliwz6nFC31iWKWri0Ug4oi7Xz/6tmlxfM44BQ4Xj8ofwXr4yH03 GSagILY3tqgDnU1J20y0UuC4tu0C6adh5uMtxqSRglnzJLTVsJ5G/gtviqyh QPnm9MhtNPdkf1PnKwpCrNO4EgM0HN4Z+cayhIJyx0V9Z9C5mwO0zJ9SsORd iE4d2tk2ZdaWXAp8uvfzV/6g4ZCL8jbrxxR0hF829kdH9FSaTifg/WOxWliC 9VyUFRu+/DLeVxtOm03RWK/u9dxsPwoWiV3fbsyjIUhXZ9k9Vwr0gqV3H+XT sGbR/VXyThSs0DXZ2ob+lnLhbdweCpo1fW0tsF/uPhIR07RBP/D1z0VX5K3o 8bWkYEPSAxWjIRpuNQklm4CCmzqylwrQ19vt1ppvoODR8LN7xsM0JNUP6iQq UxCWyto2F/vxg3ZQfZs8BUfayxuC0aG6J2k1GQp2xUxbM+j6u80uoZIUHArp rDgopMF2x2zhDxEK8tVGjRvQfc1DM1cnOTAgbSs3bwznK8jdbznCAYX0wBQr dPADIX8uzQELuYftl9F1DkYOuS0c6GxJF7cfp6HTsYn9shTH92YXrJygwfN2 e55hBgeUC9+JfkP3p+nUcL04IF9zsbBikobAUJ/CVS4cqKrX79owRcOSo9lj V205MPXNrj0HnSk2I7PYggO6G4tylk3TYBgx52rFeg50ZUg4RKNttEOTGT0O 5FoXxTaitS0qL6lrciCEjB+Tm6Fhh1jRas+VHKh2W9qxG521prt43hIOjI4F yd1CTxXP+lIiy4FKzcLBBvTs8MSIM1IcKDXz8p7HYuDvdY6e8lw29EzuvH3p 13lIrQozzmNDY2beR1oUx78s0Hr2kA1LRfjnLWcxYLdVMsc2hQ17LKadU9EH DphVicay4Z6MacjoL2cnmNVEscGm7E3HdjEGsgZb1YbD2LA2Ozo2En1wq+5P zSA2mBzUFL5Aa8ifJh7+bPBJvyw+juZI5Xtln2BDfJBVi7k43j8+2/+dOsyG Y6o1itfQay6NaBzazwb1c8eb3qFNUsddW8zY8EnhzFi+BAP/B1oxO8Q= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.04875000000000007, 0.975}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.06875000000000007, 0.995}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[1.] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHl0TlfXwGOoqaaiWrMUMTSGBqFKrllFpEgTs6LmmoNUUXMUIQRBDEXM Yoh5CA9CREiQQWQg85w8mYMY8vnWen77rnV9Vt6+7fet9/3e/vWs39p333P2 c87Z+5x9973GY2cMGl/SyMhoYlkjo//+XbLgbav6KyN0Y7yX60Z2PqX0vDY9 5JRtkHCVkteeO1r5CA+p/0s1z/OHhNEf1udpxPVuN0UfRh9GH0a/9PEXoYPG 3xd9GH0YfRj9weUrTJndM0j0YfRh9GH0Tb0+m/SN3RPRh9GH0YfRLzGjyYTS k56KPow+jD6MftqGWqcTO8eIPow+jD6Mvu2Uhl/dux0n+jD6MPow+roeTU+d tE4UfRh9GH0Y/eb1WrXeHJos+jD6MPow+psK2p34eXSa6MPow+jD6L958E3L kSkZog+jD6MPx+40XzZxWqju2by9lVr/uE2x0vUfmLcgQJj7wwdWj+jctpOX MPqnO+umPmiZKfow+jD6MP2B6T/3p/8w18Ncjz7Xwwudpywa+sM63efG6cua 2x4UHuL4xsp1rV75ysntSff5YTrTE0dtTWfOVDYdD/zSaUyIcH5AhcUhfR8J n4heub/LOD9hWT8GntWowPJhu5vCk+7fj71d4aww9ldo/vuVzB8uiz0w/TOf t/GqifU54agIj0sXZ+lEv3VhathqmzuiD3P9rYbxww743RJ2C8oeMj3yruin ty6Vtu7KQ9GHuX66Y5FdB32A8L6dji2MjAJF/2Zs1RQ7/xDRh7m+4rx1R+J/ CxZ2+G5zs7ufhIq+65b6SQ2iwkUf5vqYZjsOHXcLE7Yquc/EpVGk6E/91jQh OStK9GGuPx9x+MA8j2fCG8IHuxx3ixb9PW92Zg9ZGiv6MNf37hPxqEFUjHDh mVGfuDSKU8cv1H1mlwoJ6vgZmOtPNYwdUHpSvPC4deM3zPNIEP05p45mGm9K En2Y62sXJj9IzkoUDpgwtcrw9snq+lvtOb1M3VR1PRiY61cEZVr7z08R7tjV fr1yLVX0v/3xYkbq/nTRh7le71Hg71lS5X21fqnUuE+GrJdKuUucyj3MlPUB M/9h5j/M/YifMPEQJr7BxCuY+AMTT2DiA4y/h/HfMP4Yxr/C+Ev8A/bgf2D8 A4w/0tqPP0DfZ5UufbFVggXXw4wPLPuV7kHzSxtlKSUnTVtyzydY5+S0zCOv KFNZY3ulv1eru8JfnO/Q3vt3T+GFNxy9f+4aalFlxZPT+ilrhMNt00bb++4V Do7YGLB08wXhrvM8Do/88qrwZptxcYEZt4X99sx62PWSr/DuSN2M0+UeCnda 3nvC5OmPhOc4+09bUDtEuKr59+PMljwW/rZ7xE89TcOF45PHjH21MUK4fn7y 5EoWUcJP/Tu0iR0YLfzS5lXbtKaxwn0OWZz0CVf5x5Ylzzw4FS/suaRXq2M/ Jgj7lylvdvbrJOE6w6yOO6er3CG6iue2mynCK9vamM6Zmyq891LNNov6pQtn Vhx2bMhblT/eVO/kmGC9up80jGe7zQtKz6+XcI34BRPv0Jf1Y2BZPwaW9WNg WT8GlvVjYFk/Bpb1Y2BZPwaW9WNgWT8GlvVjYNaP9Cc9fX9UzFFh9/lPU/26 62U/wf/BfgLGf8Fcz/qwruiVOjkuTNfmztpvdbZ7LGpUnO9Tp4rK81p61hr/ PFj4VMu8LmfuhQjTHver9p3pxtdnHon8iXXK1BNRD4VnR3dfkul8Vzg12td3 bcd7wqxXmP5zf49GX8+oX95b5OaNzpgsG31DWH+vt1vzsaeFY+8P+nLsmXPC zA/ZPxj+z21VN3rcK3tGHa89dgnlI6/LfJL9gkGen/FjoMMhb+HJZWbH7Cjy k+tlf2CQ/26zOKD8PX/hCud99K4bA+V62Q8Y5PtH9E/o/1ydf88mBaf/4B4q 10v8N8h/qTI8rmb5MOGzdWJTm52LlOsl3hvk1jcnxUTVfibcK8kh7+e4aLle 4rtBvrHTlRnfu6rz++T1X+1HTo2T6yWeG+Svqt/Ud2yg+otabitzuuUnyPUS vw3y8Rm+0+odVtfHcnunWSa/JqvrmXhtkD/weZBe4ivVn2RYbcqqUDZNrpf4 bJB/vefxT4mX1PU12MRtRqZzhnLzUdHyUjXCxd/v6d2+5bJnT4Qda8xs4Rr/ SHjc6gNBNU4+FN584vregVO8ha23fZlnXXRd+ETsmA2+c88LN87tEGr1OkSY eAYH/jTg1bXt94SJb9K/vv7R9QZtkfl8YW2nrx1qL3lv/fQKSmmTOvCijvvD 3A/Gn8Lo+za4H/v5lxtEH0YfRh/2SSjxdETsWeXs98aPG36dpYyYtse4/EM/ 4dTcH1JnbQ0RNvHM7BHl81T4qws6a5NXscIPtqx6FVktSXjanO8Ob2qRJvyx zWe2lt0zhUO2ZS4xOp4t3Pg3m9CIi7nC9g4XWl64lS98c0KdFS4Pnwt/Yrc4 fFrkS+HRveLa9E1+JXyyXZ9VjfPeCBc1Ova0qKhIGPsn39j/6aZF2WI/jP0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYX79VM9uPbuaI/TD2w9gP Yz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPY3+Q27HNDmXyxH4Y+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7H/t7Ktg1Ms88V+GPth7IexH8Z+ GPth7IexH8Z+GPth7IexH8Z+GPth7Iex32LO6eojnAvEfhj7YeyHsR/Gfhj7 YeyHsR/Gfhj7YeyHsR/Gfhj7YeyH2x1ffahcZRel8sdx+UMjsoRvOUxof79B jvDP8SlzLMblCrcaOO3sqcN5wnFXs3K/yMgX1t4ffwvjf2DWI8z8hBmvhqeq +u7Yc1P6C3N/q0+3dbmy+JHIYeS/BTbd2uxkmMhh5LF3hr+wzIwWOYx8ycFG B0qUTRA5jLz+yrSBF+uniBxG7vXjmbfTzTNEDiNvufdqSLVDWSKHkS/cYGyq P50jchj5/cUrl929lidyGHntGSlP9vsViBxGPmVU/9ZLHr8QOYz8Yn/PlcNj C0UOIy/X5dNIc/1rkcPIB5vON6tW+FbkMHLODx0idk4+NcJD9isw+YWZDSPN jLueEV4/d+m0+l/v03Fe4nqY/Q7nH+QwctqHuT+Mf6D/19Y/mTPooo8S07rk hC5r1P0S8h2lX29yXRskcvwH8tAbazNKXYkQOf4E+RrdOveO+TEix78gb7bb dkBmxUSR42+Q+yys9+ZA41SR43+QjxuecGREZ73I8UfIS+yyO1a+RbbI8U/I BzhdLpHQPlfk+CvkexbUH3K9W77I8V/I9VOWndjR/7nI8WfILYYllnYY+lLk +DfkTn0thw8a/0rk+DvkkR1PeLac9Ubk+D/kXzarVq78oiKRcx7R7sf/0fzV vkWVx8Z/c0Jh/x9by/1eUMYdYVPLMcpgk2DhSWWzt92yjRS2Gdv15bbuscLZ Xcsd/G5YorBzg4eDysxOFW75dmuR12q98AR968eXBmQLn3u6yXTLiFzhj/yf L5s5KV9tz2t4WL85z4Xdj+laN13yUm3frZFjSadXwt3WrIp8uvWN8Ib5aWaX 3IsUbf4t8HKEsc/LUzr4ftdlzsG3Dwp3Nq/2mfuJLLk+NupMcNVy6v6U/Afy rH1b7D7NzRZ2tepQY7lVjvDBKrVcV3XIFba6dNkmf4PKwxbuDHm5IE/YyMRi 08QQlaumNPh06vV84fMuNwLDahUIE89g/AHzRRvftP0n3kl+zxDvYOIdTLxb 0fjysTDn/cqHzpPEP8knGeIdTHyTfJIhnsHEL5h4BROfYOKR2GeIPzDxBia+ wMQTmPgBEy9g4oM2fyjxwPB/VXaM7LHQ8Zzw7u9LbH04ZIfuPz1/5uX0+rc7 By/L/LG8ZBJ/f6FOmP9T9hOG/8+xec7Z0PEqu6YHmUe+8yuPr+9ysDjtL/rr f9rusqfyQ+HDu0ZtcSoXKuzXrHl6JYsnwvHD9PqXHaKES9lH7rtqHi1cpaKy /8yZOOG9A/d/N8c6Xvh4apmBU+4lCSttpr5uMSFZuN/dgDcN49KEn1ZudyRm UbpwyiHXo6GFmcLXCt60uG+ZJdyjx8kv+5TPEa6UOGbpITuVN5lVX/bFp3nC I0Nuhy4bq3KMscOTNw0LhI/dat5q1HSVv/okolWY6QvhV2fWrfj6F5UXGykr z3YsFO7rnh1ew1HlB5n7Ipx7vhbe7mL7VdZGletHlTH7acBb4eSll1bd26Wy z+OOT4fYFb03/uz3xT+7zs3re1T1V1ZDB8+z3pIj13MeEP9c8mVbL72qb+QT fu56WK5cz3lB/PWMhfat2qp83mxUvln9fLme8wTyEZFFp/c4qDzl95h2B8YW yPMm5jvnOexzK1W5/qNlt4XZv8EVdK7JIVmBwuzf4N4LTbr3aBghzP4NvlE3 ov+TQzHq+Br2b/APr/YVrtclqONn2L/Bb8KmHOoVmiLM/g3ecdHs+9f6DGH2 b/DOfouWDC2lxnv2b3Bap5jH7aqo8Z/9G/xNi14tq9ZR9wPs3+DVtY4sTzNR 9wfs3+CwcpXCfczU/QL7N7jpi5lt9lmo+wf2b7BDUrDjIkt1P8H+TbufiF48 4Pnkiur+lP0Z9sD0H6a/MP2D6Q9M+zD7EZj2if+0D9M+TPsw7cO0D9M+TPva fC3Px5jPMPMXZr7CzE+Y+Qgz/2DmG0z7PI+jfZj2YdqHaR+mfZj2YdqHaZ/n f7QP0z5M+zDtw7QP0z5MezxfpD2Y9mDag2kPpj2Y9mDa4/kl7cG0B9MeTHsw 7cG0B9Mez0dpD6Y9mPZg2oNpD+b+PG/l/jD3h7k/zP1h7sfzWu4Hcz+Y+8Hc D+Z+PO/lfjD3g7kfjD7Ph9GH0Ye5nufHXA8j53ky+0POF5xHYc6jMOdRyVcZ 9Dl/oA8j5zzC/p79NecZns9z3oCR83yW8wdyzh9ST2c4f0j9neH8AXP+gDl/ wPgDbfs874V5nos+chg51/M8F+Z5LczzWPqnlfP8FXu4nvUAI+d6+f8Mz2Nh nrfyf2nlPF/l/+V65DxPlfEwXI+c+gvGU643nG84D3AekXyo4TzFfpH5BDN/ iJewNn5px08bz5CzfmDWH8x6hvm/Yfydtj3iCYy/Z37AyPHPMP4Txt8xP2Dk Us9rGH8YOf4Ixr/A+A8YfwFr62El/20YT9Y7+T7qJckfUj9IfVfnRO+V80yz pR4se1Cf28kzc5R56y4d9Ps8WaH+kPo4150rD5wMUP1Jv/LlE4yr5yrVB8aX iRp/RKEelfGH6Z82/wujz3yl3o58HfNROz/R53p46IHGRnUbZynkj2Hyx7RH /Vop943mfp9cFSbfCxf2mxSgSwoQJt8Lfx3n3bW/e6gw+V547h4bt8uBUcLk e+EnJ7JfVi8RL8x4wYwHTL4XrjF1qc3SNunCjD9M/kbyKQZmvbIe8O/4X5h8 D/ow+uR/kMPIyQchh5GTH0IOIydfhBxGTv4IOYyc9Yr/x1/A/H/U+zJftP4M /8l8oZ4UZn3ib5GzXllvrB/8KfWorD+YeM18R8544d8Yb+qlsVf2fzwfMNQj E2+ITzD+iflJ/S/xh/gE47+Y79T7Eo+IVzD+jfVDfa/sNwzxC8b/sR6p56U+ F/+AP4HLHNvsvPCLi7qfd+Ucv3c6S/wdcv4f9gfMB5j5QL048Yf/i/VKPTXx iv+H9U69NPGN/wN/QT20xEOD/fgb6p2Jv/g//DX2YB/+L7xl9UvNz2dKfGb+ km+kPZj+wdgDYz9M/IX5/2D8B8x5GuY8DXOehjlPw5ynYc7TMOdpmPO0tj+O Nh89a/aLtzLs+2t3zk7Vv3cejKtsf2Fq1BPFbdQnWzwt1Pje+dHN5HIXEt87 r5w6E9au4eR4Gf8BSY0OWk1IkvH+1Tlq0uCKqTK+JtY2NQ7apyva+uexAbOH ZuT5SvyW90l67BrhPTJLaT4welT4dr0yJ8E3qcItP8XmwLk6CyMSlS5e3Ue5 1Y75w/XTD0ODjm6dfkd3efR3/etPzFYsDx+xm/FNiC6usjL/wTw1v/fP1lcn dJ26d9grdf/+Z+utW6SYbm6VpZf9fURmmc8a1NQr00w+PpNr9aDYemybO16/ eK9PV9bsPdz74JvgP12f7djpgfv+4alyPoizvWM2dVayMvrshACltnr9h+q3 WT+7L+T4OSdGKz32Vd3pWDZZzg9Xr1abcCEnQWn68ZG7IzLV+s5/tt7b7vS1 8SdaxCraetAP1X/b1V3qML7HU0VbD/qhenBHv9tz748LUbT1oNSHw0MTR7fo surd/Pylq+dns+5KPD3785LpL/Xq/u/wrKbPdv7spXOt5zHj1tN3592glQ08 Zz3UlfEeW7lplnq+LTUivzCzW47SrMTLDc0bBEo8ZX2F92q+vvEXuXJeIX/8 Z+vPmzV0XrGqVoacF4jH5o1/H/sgLrDY+nTij1+5OjtvexRfr97YRDfdyTdO 4jPni5JV1s+vdlWdX8Rju5Flmna2j5b4THwvc+PR+sg8dfyJx24ZbRq1mR4m 8Zn43qldQI9lN9+vh6+ZkDqia7NHEp+J74dvFJg97/1+vXynCMuM4ObX39sf 3Rh7fd2qzRlyPvAvcbrcYf9speTGLuO9C0Lf2/9MCdzqa3MmR2lf1qi6Rahe 8TOx7ew1wlfxzl7rXF6foix75R6cHhWhlB+dnWU0KUU537dhZpdKT5XfW3y6 03ZnjOJ+6tq0yXMTlPDCkVc910a8u8/0g2dMkpXPRy61cJ8apAzUz9YfOZuq JJo7m14Nva0ct79XeVTjDKXd1Iu9Bh/fo6w2Nh+1a36m0vnZ44NNOz7WeW24 OKSRS45S7s2zGZt6Zsv8KuwckLi4iso/GV/yeZX6bl6PuRtWLfuIUmfhps/P 5mUqAfEpNV1quSvHpi89H2GbqQw+Gp7RafZNZdXJqfHLrdOUefsrb9Ete6Io L2bONJkRpzgEb+jiXileqdp3THqvWVGK04bRmZcDExWn9nudHVaHKokJ17r4 z0pRAiK/77hqRoCyNzB7cY0sdTx4P+G814Reec0vK1f3hfYyGqRXKluVrKfb 7K4r93PuMbf+WYpPxxbrllQP13m3M63b9VWOsj7v7injgnA5743+6PitAxbq eurV+URkm3dx5Xn8ovk3HJcrNac96rzW0lPpvXn69u2J6nlwrkv75ReO6hWn itZTW14//9758EPvR/zV9d7he8rPvTB823vvE+F/OB86bJh/roVZpmKR5GK5 OP+0LrqqU6WXm7OKrQePrDtw4re3d+q09QKLJgU0mHAhU3EtDG8/c6On7N/s HKZ5NX+o5qsefOzcPP1IhrKw+y2/HZaPFL8GZv1srNR80vO5Q6r3a52gVJwc 9YuVW+x775uwf5D6E8P5GOb/XRf8LCnpv/MHuXaDvBMz5fzk/l2TebtuZSpT bi590Ob+Od3kib1HjYnIVLq27mf9tLGn7mWPrg/uvchUzvaPcmlhtVt3oVbT 4NHZmUpshef2R7YckHwi+y/t+z8fDcra+tkFD5k/xgOezD1Y4+B7/pn3a/AX 3G/Nvo/1LSdfUa93/2zxhMvX1PW3vs72PU53hJet3zKgdPxt5Z993wT/RvvX +jU5Oqt6gNzP3OpYTiWvB8IXV9Q7eDU/SPjXFeFLZxirjH/lfnV/3NfK5OtQ kdv9mDBoTqUnwnndjhe1aBIpfLnblIjIARHC+HepV2po9tumSVEi77uh0+OZ 9aOFty/ebWr1bj8ALyhaWLvJ9Rhh4gv3u6uPnml0P07kSdNLLm9qHi/cYdSE sJLdE4VrPet5JyI0QZh4x/0m+h+udyEuSeQr+/u1ftY/WTikcyvHS0NThS94 VZzjkpkiTLzlfh95zPSb9ipN5I1MXSI3j08Xtq9TYDZzll7Ydkdww75lVSYf wv32tDNymfZpjshP5VWts9RS5SHp3X2mD8gV/tbUrMvwOir33j/mUORhNX/i afFZ4YnATIX5VcXHftyAd36gp18953p1LypJfr1+txr1zi+l3Zk68vUNZeLi BV7Pd2Yq1Q65ZHUw9pL8C/3LajQu+VvjPGnPKH7OrBF2Kh+OOFjXckS+8LY6 rpvMm6pMfob7WVT3tWjcskDk1kFP7nQYq3KBXwX7JpOeCydWKEz5pK3K5HO4 3/qSpluKOr4Q+e6bnetXn65y78vT7xrNeamun8KRXTMsVCb/w/0is53TwnsW ijzdc88c/XyVNx8JbBC5+JXwipQbrr6WKpMv4n6mMbndzg94LfLOe0vfu7tS 5fht5vMurH0jHPykSYa7ncrkl7jfwoeDt20c8VbkazZMMj6wUWWz39zuu2wt Em7su7rH4rEq/2+/z3a/0sNht5vqla11l49udyXgD7/f5pf0oubAvumSL8tv lzi/R7kMJbr6wkrui4KUUm8cXniuS1MmRVt7zIkIVe5+5xHzOidN2bBxctCW 24//5d6P63F8jdn4I0lKoyEFjidtoyW/6uG2t2WHgCilSmi9hLblEpVhEw+v /ioy5v/9+3Rlalbfaq+7qev8Uadnl42zlaw7g2PetPHSlU4ubX7u3f7gUZdt 9ilvMiUfSn6U+dvftV79gmdq/YDzriHzZg5Vn+e/mZh/bvwP6vPoeT1f9pu/ 4IYyuMul7JdX1PxpuV8vF8Y11CuvA87r34bdkvxpce/nyftv3v7ZC+yylWYd Z5/Z7eAt+VY3p001px4I1Z1Y1itpyCU1vxozc1TjUmk5yuzQI/fj3r5rt+aV Shs8fJSyVhb5dfelKsEL+8TUNA9XOpZxbVK5bYpSzTvoVrulT5VdEda/p656 Fz8tPq4SdTNeefLw/Oaqy54q0c+etQpalKR0jKrWpsGvIcoJJ9+0VjVSlVOl /B7rmvkp/Wx9Kpdem66Me97dIqHxfZ1XziS/3GPvzrPBh7bdNFGfv7FfGxZl 9Y3lrixln9Mcz3MbL+h2z2s0eMLFLKX5It+L3xtnKGereZyzbhGkrEo68Lnj wHhlp4sucpztu/md4D1hoke04v/lsaHdmyQqtVstnXFwXZjSsJbPnbb+yUqz k+mXS9k+UkIqXOtlYZMm+UOpHzPs18kfkr+CyW/B5L9g8mMw+Q6YfBtMfk6b r9TW48O0D9M+TPsw7cO0D9M+TL6S+Uy+EiZfCZOvhMlXwuQrYfKVsNRDG5j2 WT+0D9M+TPsw7cO0D9M+TPvaehzyH/QHpj8w/YHpD0x/YPoD0x+Y/sD0h3wL /YHpD0x/YPoD0x+Y/sD0B6Y/MP3Bn9EfmP7A9AemPzD9gekPTH9g+qOt9yG/ RP9g+gfTP5j+wfQPpn8w/YPpH0z/tPVC5LfoL0x/YfoL01+Y/sL0F6a/MP2F 6S9Mf2H6S76N/sL0F6a/kq8z9BemvzD9hekvTH9h+gvTX229E/k++g/Tf5j+ w/Qfpv8w/YfpP0z/YfoP03+Y/mvrrcg/Yg+MPTD2wNgDYw+MPTD2wNgDYw+M PTD2wNijrQcjP4p9MPbB2AdjH4x9MPbB2AdjH4x9MPbB2AdjH4x92no28rnY C2MvjL0w9sLYC2MvjL0w9sLYC2MvjL0w9sLYC2Ovtt5G+3xOW29HvprrYa6H eT7B+0Dow+jD6MPo8/4Q+jD6MPow+rzvhD6MPoy+9n1f8oU8X5HnfYZ8Coxc W0+CnHwETD4BJh8Ac56HOY/DjJ+2fc7XzC9tvSDnW5jzKvMTJp+lrffjfMh8 h8nPcR5kfcBSP2k4/0k9nIHJP3LeY/3B5Efl+4WG62HuD9Mf+b6hof8w9sH8 HzD/p3yf0DDeMOMLM74w4wszvjDjCzO+MOOr/V4jz//Ih/P+CvNd+3475w1Y u//Xzh/teQA5/gfG/8D4Hxj/A+N/tO2xH+f/1z5vlO+XGsaP/QDjS3xl/IlP zA/8OfMHf8f84v9lPsLMX5j5DuPfYdYPzPqD+b9h/l+Y/xfm/4X5f2H+X5j/ V/u9Tm09oXwvxFAvxfcaqYeinod6J+p3qGeiXod6JfIXvF9NPR75E77nCVO/ Rf0R9VrUG1GPRX0R9VbUE1FPRf2Q9vuH5EPIf/A8j/a1/dPOR+Qw+UfGE6Ye jfop/An5OeYHTL2j9vuUrGeYeMv8J/7QPsx81rJ8H8Aw/+X7AAZGznpBDiNn fcn3BwyMnPWIHNbWIyKHtfWY8OHNv9k9b50j/z/v42vHi++twnxv9cXydI/A b/Lket7Xh3vbDyh1ok+BMO/rw65jzw5dbfNCmPf14fiBn58a90OhMO/rw+26 LSzT9afXwryvDy9vEz2ijsNbYd7X19az8j1X1gffY+X/4/xGPpd6Z5h4zXzj +6jkm/AP5CN5Pg3z/UvWF8z6g1mfMOsXpj8w9sCMH8z4w4wnzPjBjBfM+MCM B8z/D/P/a7+Hiv/Af8r7pAb/Qn04TL0q65f4i768X2q4Hn8EH9T5lR5+Llf0 eb8UfXnf1HC90TynxpsHqzzc1Lqn/8s80ed9U/Tl/VO+txtbZVyZnSpX3f5o uWKhvn/K/pfxYT8AE6+lHtsQn4kH/J/EV5j4ARNvYeINTPyFiU8w8RhmvsP4 X5h4BxOvYdYfjL+FiW8w8RzGX8HEdxh/BBPvYfwRTPyH8Ucw+wEYfwSzP4Dx RzD7Be33f5n/zAf53oOB5XsPBpbvPRiY8xf+HX/E/w0zHrx/wXmM9Ua+Xrve qCfBv+Df6D/Xs19m/cHa98PIvzK/8b/0D/+K/9W+X6KtVycfyPrQ2kd/0Mcf aL/X8nd98792fTPj4bFmqN+9o/oP1jf7K62X+P8D9c3/ad/X+Ufrsz/0/R1t /XVx9dPa+uji6pv/aP2ytv5YW1+srR/W1gdrvxdUXH1wcd8fKu57Q8XVFxf3 PSJt/fFf/X0i/KF8n0hTb6etdy6uXllbj1xcvXFx9cXF1RMXVz9s0X1uwcD/ oV74xbD44B3/Q73wN2VsHH2bqs/PP/S9G/xPcfXFf/T7Tf/X9cja+uPi6in/ XeqT+f7Qn60//rP1tP9p39vS1gP/0e9v/dX1w391ve/f9bt/1+/+Xb/7d/3u /1b9rra+9s/Wy/7R+lT5XpTBn9+q0WJTRrr6Pp32fZ/ivhf49/f//n99/09b 3/vv/j3Av7oe+e/vB/57fz+wuPpvbT37v3o9uPZ9Q+37mR/6fqvvseGXV+Tb 6/7q+nBtvf5/AU0buIM= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwBqAJX/SFib1JiAgAAAN0AAAADAAAAQjoxJGgjRDsyRzw0BgECBwIDSUgE CgUGCwYHTUwIDgkKDwoLUVAMEg0OEw4PVVQQFhESFxITWVgUGxYXcXAsHhka YWAcIh0eGhUWIx4fZWQgJiEiaWgkKiUmLyorKyYnLikqJyIjbWwoHxobPTUu XBsXOTgwMzEBOjICOzQDAQYFAgcGSAcDBQoJBgsKTAsHCQ4NCg8OUA8LDRIR DhMSVBMPERYVEhcWFRoZPjYvFhsaGR4dGh8eWBcTYB8bHSIhHiMiISYlIicm bCsnaCcjJisqZCMfJSopZWckKS4tcC8rRUEzdT02dDc1hYQ9eU4IAzQEATEC LzYuNDwETk0IMDgvQDkwMToCMjsDNTctAjIDdj44Nj0ueEoEg0AwBEgDM0Ex PD8EB0gIh4Y+C0wMTE0MLjUtOD4vXV8cSkkESEkICEwHSUsIXVwYTU8MYGEg D1AQUFEQfFoUUlEMUVMQE1QUEFQPVFUUe1YQVVcUFFgTF1gYWFkYWlkUVlUQ elIMDFALWVsYXF0cXl0YGFwXfV4YH2AgYmEcfmIcYWMgIGQfG1wcI2QkHGAb ZGUkKi8uf2YgZmUgO0Y0OkMyaGkognIsbW8scXMw8/J2gW4ocnEsJ2gobG0s 8fB1cHEw7+50k89Ll9VT+fqIW30Y6aRu5qJqLHAr7KZyL3AwgGokY38gV3wU S3kIP3gEOXc4bm0oK2wsPYQ1aWsoKGwndYU9PoY2doc+T3oMU3sQldJPX34c Z4Akb4Isa4Eokbg/c4MwmdhX+pCIo+drpepvm9tbnd5fn+FjoeRnw8RDwcBC uahAjfWE15hW3ZxezpJKzMtH4J5iycpGxsVE2ppa1JZS0ZROp+1zamkkvr9B qqk546BmjveGj/R3uIO/nA== "]], Polygon[{{162, 229, 105, 106}, {194, 198, 68, 50}, {160, 226, 101, 102}, {164, 232, 109, 110}, {189, 193, 66, 49}, {158, 223, 97, 98}, {238, 140, 55, 116}, {156, 220, 93, 94}, {168, 170, 57, 64}, {188, 243, 118, 56}, {174, 212, 82, 122}, {150, 211, 81, 82}, {200, 204, 71, 52}, {144, 171, 60, 136}, {192, 137, 58, 66}, {152, 214, 85, 86}, {166, 235, 113, 114}, { 197, 138, 59, 68}, {148, 208, 77, 78}, {203, 139, 60, 71}, { 186, 239, 116, 53}, {187, 241, 117, 54}, {146, 205, 73, 74}, {173, 209, 78, 121}, {172, 206, 74, 120}, {154, 217, 89, 90}, {138, 201, 70, 59}, {177, 221, 94, 125}, {199, 190, 65, 69}, {183, 185, 64, 131}, {178, 224, 98, 126}, {179, 227, 102, 127}, {191, 189, 49, 65}, {223, 159, 99, 97}, {220, 157, 95, 93}, {231, 181, 129, 107}, {176, 218, 90, 124}, {237, 183, 131, 115}, {180, 230, 106, 128}, {182, 236, 114, 130}, { 208, 149, 79, 77}, {205, 147, 75, 73}, {202, 200, 52, 70}, { 181, 233, 110, 129}, {214, 153, 87, 85}, {137, 195, 67, 58}, {211, 151, 83, 81}, {171, 145, 63, 60}, {196, 194, 50, 67}, {175, 215, 86, 123}, {234, 182, 130, 111}, {225, 179, 127, 99}, {226, 161, 103, 101}, {229, 163, 107, 105}, {232, 165, 111, 109}, {235, 167, 115, 113}, {210, 174, 122, 79}, { 184, 172, 120, 63}, {207, 173, 121, 75}, {169, 143, 119, 57}, {244, 188, 56, 119}, {228, 180, 128, 103}, {213, 175, 123, 83}, {219, 177, 125, 91}, {245, 186, 53, 132}, {246, 141, 132, 133}, {222, 178, 126, 95}, {216, 176, 124, 87}, { 240, 246, 133, 117}, {139, 249, 136, 60}, {248, 142, 134, 135}, {247, 187, 54, 134}, {242, 248, 135, 118}, {217, 155, 91, 89}}]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHWU10UUxXdGEVwQUWpFUlJAJJaVWkJyRVAxMVCwpQxYQbElXLCVsEEB EQP02N3d3d167Ma497zP7/z8455535n5vXl138xum0nTx03LJSUlZ6aSko00 bqaPjyUfL5wtLBL+0fw5fFs+T+MGjSUarxZWCCcIB1uH0FBYJiwVjhYuFS4R jhUuFy4TZghXClcI1cIFwt9WqXG5cJUwS1gpXCPMEToKTYSmwk3CjcI8YY1w rXCqsFa4TjhdWC2sEk4WlgiLhWnCemGdsEDoIDRG7y3CzUKN0A4/GgntGb3v EObbClsJnYVthU7YVcac15oJXRi3FroyNhe6CS2ElsL2jK2ECs6zXTsw2u+e QhthG+FQzu8llCPb3t6M/n139LUWbhCuT5HjPuizvYOww+f3ww/b3p/Rtg9g tO2VjNuxtww/+6LPc4PR5/OHMPYQdmS0H4dh+1BhIPq6sd4aP4f9z78R+ObY HCiMFXYRRmO37R1FvOzfzswNYG8l5+yGfbZrDOuV6BpIPHZl9L4q9Nm/nRh9 3jh02KfD8WN3YTx2+Hd7CcOxfW/GkcK+rFvfQZztM/djzj4dgA+2cQ/0Ox57 Mlrv/uz1vgnsta8T0WdfJzHaXnNlAfE1B1zD5qq5/K9491dJcNCcNrfNOfPG 9eoeYF6an+aQOW0+mKMnUAPmuvltjpjf5rT5YH6bx64V9wDzvgk+lJNX9w/z uxkxqiCX5mgN9WBOu37NE9eyee/6Nu/NdXPJXHcPaI5/5kJbzi5wtMDndthh LnTA1k58N2bO+/bBplGpyOfOnOG67ZqKHC5wuhtrU1PU+lBs7c4+2+I66ks+ erDWHt97pyL/K/DBseqFfX1YK3C1H9+jsLXAtyGpyNsB2DSQb9s4iG/bNJjv Qh8pT0X+9+fsYfhSTv6GsXcE3xWcPyIV+T+Y/PXELtteha2diEGfVOTeLvxm N75d3+bD/tjq9bGc49wUuOVxL84cx++HM7cndptLu+PTGHRXos/fU1L0Vvs6 OUWvd+yPSnG3uabMUXPVPB6NXfuRg9GsV7E+PhV7RxVnTMAf+2H+H0gsxuNP gbcFHk9k31j2TiCPrr8WwPXfkrlTmXNfmorfh+BDQ/ybnIr3l/nrup6eoi+4 Jyzhe2PhmBR8t9wI2fxYxlqtFDU+hbgdl6IP1GKfZfPsUtY24dt9wJzze2Cm UDvFm6MauSlyGXZP4/wr2VdHOBH7N0XHDPT7N7Pwz2+J2eyZzbx/ezW/LxVO StF/SomFZfe9lazVFU5J0Q/rsnYy8V7NWj1y4B5lrvvOnStsnuJ9cpqwmXAG +bK8lu/67D0T+TTyaJ1HkEvX7fwUfc86zSn3Rr8HbmKtgXBWij5vuTWy965n bYsUtXwkuW6FTu/1+2ehsGWKd577vnt+4e3ifnBRivnM3hp0eu5s5p3zpdSA 585l3uPFyM7n4lSsKcuuMd9BF6a4h64g33XIueVqYuO+X6j9a4mnc3sVeV+E rYn8rCZnF3JG4T6z7PvO9i7DZt9frkvX4UzkGdjpfa5r82PJ//xYgv3np7hT bf92eku/k4KH57Hmu3YWvtXB9jXYvwo761EDa/DVdvs+rsu4Etn16zo2B+aw 5lytYN71fIfQPUeu/a7vmyOWhfeEe2IfzdXL4e8cfl/KubapOWd4vhmy42xO uX7XkgfXr+/mVsi+s+szrkWuxvcyfuO1lvi5Ct+te3kqcnY5uT0J3+dwjjlm Ltwr9MsRz2ryZ1/83nDfcU8wD/yeMBf8FjJnzJH5yOZAlo73yW0N+13b5s16 dPjvA/PEHFmI7L1PCt+nqPGtpeerFJxex2+tZ4zm30jBvdqSP0jRQxtL/jxF ndaV/FGKuttK8pfEeAF22+YtNP8p+d9U8ocpeuvmkj8hZg0lf0bMmkr+IkVN 1eCD+0YLzX9NDLaV/GKKXt5G8rf494vwQ4raLdH8hhS8ul34NwWX55IL53wG 8W9KTK8nR/bT/DKHjiU3hXvgEnL0p/BrCo621VnPpri7NpL8VIq+1UHy8ynu sduEP1Jw+TVh+xz95Vbh5xQc7Kq5l1P00OOoB5/fTvNvprgXO0p+K8W92Ery N+R8Y8mvk695xN99srPm305x5zlXO+TI13vExTG5TxiQo4Yd+6E54j9KY/Mc MXlYGJGDFx6bIT/CPu9x/ofnqIGHhGE5eoXrZUiOmnkFP+3jg8KOOXj0qLBT jprxXBPmXZsjc+TNfrfP4bt1l6H/O+GJFH/3P0c+nIsXyIHj7xrZJkedPE2e nCPXyD/UyUvUluvqceGZFNwxD94ltuZuffj7N3l1Tn8jl87jj8JfKfqna+R3 6sT9tUuOHus6/SlFrW7g/xT+u8Y5NPd81t1CRY56e1XoluOOHahxyxx9z/0y 0TPvFHrm6O3mWe8cdXRPir7pPmPO9c/BO+suRb85WpmDp66FBtTD/ZxXiu5N 0O93tt+kfkcO1lyjHH3etdYpR7095j05+on5PSgHx53nluTadV0rR22b31U5 OO7e1iNHf3uAM6zf9T46R827J/XKwddy5yTHnXgX37U4vzU2/AcTqrM3 "]], Polygon[CompressedData[" 1:eJwtkmkrRVEUhs+57sV1Tdc8TxEREpIkSZJ88xPM802SJEnSTULCP/HBPM8y yzd+AjJkKMOzOuvD037fs/deZ+/9rtQGT32PzTCMIrBDHCYexk3DCIYEdCJ4 0SGQhE6GCXQoXEAmvpOxGc4gHd/B2AQx6FgYQwdBCjoVJtFuiEJHwyg6EMLQ 4TCMDpAzoENgEO0va9BBMID2k29oJ/ShHXImtBuG0E74hR8wYV5qMueCfrQv RKAjYQTtghOw49sZG2Uf2gYetA/8gWGzatmkBtoPemUf3EAuvpuxFe5hSfdK zTLmNvRscqd8/IPWWoAv+IY5PfMRPMIUTMMnfMgZdM0z3OneGXiDd5jVNXXU P9C3lsyuIJtvXYwtUIve1yy9+q9jrSX/fIUXubdh1Uxj/aHkZFoZVuN3tVck 4zz8rd69DYrxq/rWklE5flOzlYxK8euarWRahd/RXpGeqMBvaTbSE5X4be0V yWwRnvRtfjljDfN72qvSwwX4Zc1GMszBX+vdJaMS/Jr2kvSEA3+q2UsPZ+Ev Tau35c0y8Oem1dvS84X4Fe096YF/2sZTyA== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm811Mavr7vMZGSJWSJdi1aSXs0M8yMpeVWSqv2unJL3ZRbXdq0CY2S rhaFEklZRhOaJWWZVrJOEhqhYRAGjeV55nl+n/rj/bzv73zP95zze9/ned7z +1XtPyK/MMvLyzt8TF5ewHdIeXn3IXgTgy/ALkG8BP5BWHvYNbDAWAf4brAy iDvCd4cdj7gT/LWwExDnw/eAlUfcGb4nbCWsD2wwrALGu8D3gn0NewX2EKwY Ngo2GvYDbDtsFexkzO8K3xv2P9gO2CM8PMZ3wa+GZYjXwD8G+wm2E/Yo7FvY VtgK2BCfoS/sJhgTMAJWAOsH6w+73n4AbLj9QNivsP6xsEGIH/f3yL0/2GuP tB9q4z7XwYbZ9/N3K/A+RfbcZ63XGwO70e/zvbHeg2uPs+fzm+1H2YZ53e9g 22APw6rgvOu8flPEF4X2LPH359q32HPtW+259iR71qQi3jsVNh7xU7AJsCmw qY4nwu6EzYTNgk3zGPeZ7j249pP+fnxntt/n3Ns8l/NuP2rsz7D1sBmwZ7z+ HbA5fs617/KeXG+uPdd4EbYFthw2z+/xjC3wPc4PzX3W43fDWmGsLmw+4ns9 Ns/fY4zz9ZzHF2Sad6f3b4b3aoTOtdHPS2GXhnj0H8QXwu/LxC3yiHwir9og rh/ak5wit8gx8oh8Iq/OQPxXr0mukXPk3tOuA/NCrpFz+T7XfJ+f3CL2ifut xkVfY4TcIi7JM/KJ+CS3yBtygBwit8gB8ozcIheITWKPWCTuRvlzDutDvVaB P+d4VeBzkCPkDPk03GvyM3FemB3h0gifdajHcpzMrTXae+fwSowR70WeV+i6 jfFaY/05x6Wx2REujfNaxf5MrhR7D2KTeJuWHeHtaK9VYozkuFSSHeESP18c 4t4TmTg0yXuQA1Ndv4lee6rPOtHP+f507831ZvjznxxP8nvE+2yvNct4yPHh Lq87289meYwYIbfmHLXHHK8108/JjRrmCsdbh3jyFz8jvsgH6jO1nJrePMSH DZl4Nt/7cR4xTm7UNd75fssQJ5/PxINSz2kb4sbfEFcKcWBTJj6RQ+R1ZcTn hHj+FeylTP3qZXty7B+Zeksf2wpj6tVMPYm4Iz+XwRb7GTmS02vygvglRon/ Qf5MjgywrT7q+RrP4furvAb7HXsge+HrmbSedX4tUy8pdF1ymvoBbHcmLM9w 7VnrtzNxnvWpFsIBx9mzn/L7H8LeyY7o5nrXdz/s/Uy5+2cmPWUNG2OdRrB/ Iz4upEHdvcYGY2JvJl1jbWq7/qzrR5k0mvu8l0mjFsEOeh/eH/Zk0lnWv57r ydrz7G/5XdZyi2vwuGvDupyO+Ydcz5WuZR/XlrVu7xxvd55Zt23OPfWxjO8r rPlW13adc1tkXLziNVnnHa7tWteGdXnSNWO9DmTqK8td/52u/9OuwRRjYZfx wJq8kYnL72bqH8R2TeN9ruvwtmv6ifPIHJ4dqtk+j38G+3umWnFsKexL2OeZ asez/+hzveBa85xNQjX+3LX60JjY6DMt8NwDnt8u1KsO+rx7XLtPfY5FrvNe 44Fn2e89mZt/uZYp1Ody/Ywx6/VFJr4tdl0PuZ6s2/euJ/sm5y1xfb5xDYkj Ype4bWA9KHVt/+v6L/P6y50b5uh+Y+Sw68yzJPdgcpV9aKA973k3OEfkAPFf xXc/jlOjGlinWP+fj6r5MSENIO6O83fn3IY+a0O/ex/isqFezh5PX9a8Y/8+ wffpcqG4h8fKeT51pLzv2SeGYurLaaG72ng/P9HvnhTSIGp0rRD+/oj4lJB2 815N7a7g+zrHTvH8ar77Tc7kKzoe78/FxgP1mdjY5LjU71a3TlHDz/Qcaja1 +wHEZ4WebTJ2zrOe8/m5nkMOkYcT/Lyy52zxWsu8ZyWvz1pV8d2CZ6zmvlvd 8WTXlb2Nfa2q57O+zE0N54f5OMm55XPOW+f3arovEmvsScRbV+eui9epZZ6z D9Z2L6zj+J5Mvs5Resq+yJ5InWS80GP13C8vcLzQvCNPl3r+BdZW4qu+MTbX e7P/UiMaef69xvECr8PxzeZLY/cC+iYeb2QNYXzQ+5Lv1FDek0Z7vTbel3cd 3nmKnKtmzifnNjU+ea4WzgOfN/cc5uR8j2/wszle72K/W+y1GDO/LVwL5rGV 80zf2rliXto4h5zb0uvv9ll5zk7mYUfnvJXf5Xtt/b2ozdRA6vAejL0Zytlp +O18RpKmfA0bGupXL8MXhO4EB+EHh3rOWMxdFOp/VyIuCv+uQvxYSI9/i/jG EO5bI26exMlL4W8I9ah34feGvsM5GD8rSb/aw98U6kvXIZ4e4uht3Md4ew9+ XyjH3TDnlpC+NkN8YRLue8BPCvWBLognhHpIJ8TFod41jpwwx2dyT+MwnzlM 0pY5iN8I9bAp/E7mRW88nxrqRW0QXx/q/7vh3wnpNrnFfsBe0AX+N0l1K3Qu mIeRoVwwD8NDa3GdMaH8MrejQjllPn8Hf0WSlt0DuySp34917pi3AvjnrQm/ Rzw6pK9/4DmTNKQJfIMknR0fygtzMhh+v/lSEso183xrKNfM82Tnl7m9GXHX pPtUN8TXJPWeiaG8M+fTQvlirobCD0m6H82HfRu6M80jHkP3pBmh2rPuw+DP Tup1szH+egjD5HE7a8KZSTgmhjtQT5J6x1zqR6i3P8z3zIX25GlSP7oacbWk /nUV4kpJve9K4iXUZ68I8YFc+CZ0Vp7zRfIe9jFxRY4n9Z1NiB8JcY579vS+ HeEbJ2lyT/hloTvKZYgXhO5qVyEuDfWNfohXhu4rfRA/GLr3dEe8JHSfyEe8 OHQPW06uWB+WkishXWqblGvmuV0SboiZh4h3a8UT/K7mNc/y66TzbEbcx3je yu8duk/dTt6Eel8v+AFJ96JneC7X6FX47SFN3gm/LaTBxNcdxthAvPd+6M60 Af7u0N3qUeI3qe9Whz8v6V5SH75O0n2iNnyNpPsHv0cPf5dnQ7ghZjYSnyHM U8+ecx0HwH/g78UzvuZzMn/XOofMX3fnkLx/wNxfC9839FuHmrEqpBvkXGfz jlq1IqRXg+DXh+4Ia+CLku4HvUO6Sc1k3skh/qagNpck6TP1rKk17QvYl6E7 5SH4r0L/EQ4JaTT1uW4Svontw/A/hP5XuygJf8Ted/Dfh+6d1OCFIf1pmMQf coc1GZFUl36IRybpWIskrBPnrElV14Va0sh6UiWJS+QRtb+l9b8QfnXo3sT1 doTWzBBH0h03D/7n0H+o1NHNrlF/Ytx8J47eMpY+hv8kdBcndl4yfojB2cbh AfiPQr+zWfPdXpM95P6QvnHtXV7/R/ifQnf6z4iL0H+9NZP0glrBfvipc048 1jMmicdaxiS1apbPcCz1Kek/4FHsj0m/k4aF+i57bkWMnZr0f/DEJC0mR8j1 zkl8Pz1Jm6hLrA37y///A2DNk/SkAuuQ9B9zWfjjk/5XPpl1SLrrs9+e655L 3rOvE4OVk/oHMcz/1K9O+n1IHeqbpEXUoV5JWlSG9U/6/VYOvnzS7wrqX/8k DaSeXZ6kadSqjkl6xV600dz8BTHPDFg= "]], Polygon[CompressedData[" 1:eJwtlnuQ11MYxn+dc5AkSWhFWY1ImWWHJDtrKpKGYSK1bRdtTBm1K4q0dBUy 5PKH0bjUSCm6KJcQci9CKnLLNbpJuuh+83nmOX88+z7POd/L+3vP877fLa6q 6VYdCoXCJJBAU/6cCo6MhcLNbNxDvBGshb8FmrF3GhgSfM1Z8LNBPXgFa3V1 L3gZfhDMZ30B+B7+BmjN3jnJ19Zn/SbQB/yO/hPUsNcf/Rx8K3hMeYC/4EtA Z3jgmv3wr8BG7YEX4DvAyeydBG6AJ9b/BTvALvQMsBu+H+yBzwRDk3PQu5sS +4HrwTfoP8Ba+AAwFb4NNOH6ouRn99BvIlajTyF+pBoR3wafBefwFLwL+ycS a9HPEO8G64JrUsze6cnPqptr3QP8GFzzRuw1BHPgdVQL+O3Juf7G2kN6L/gV /iFow965ybXthV5H7AiWwreDT+FLwAb4NPAo/PHo2q4HF3LvBaAS3pD1o+Fd iF+jD6mm6CvQy+EHQAP0legVMhFxH7gcfBlc4/PZLwUNop+5nXgZ+CL4TOZE 56B3ywMfaw9sUq2C312f+w8H53AGvEVyrXqqhsQJ6A7Ev9HLlWvm8tAK+Eqw GT4FtOTaM5PvlWf1W45K9qp+0zL052BjcA6roj2gs9czzuPakuTa6jctBYPk uXzmm4md9Az4f+BY9o4Bs4N/w+FoD8u7+4Jrd3zy2aqGm4j/RN87HXRkrxr9 CvxbMA9+h3qQ2BzcB/qif2bvPTBadUH/BF8EBqsXWSsCTcADoD9rv7D3PpiU PSUvfQIGqB+Se+9ZMCzZM/JKs1ybR5RjcI2Uy9zoPeVUo1yje2e+eoD9UeqJ YE+3RV+U7K3e6Pbwi5N5I9ZOgHclzkUH4jtgUZ5FWnszugbN80y4jjice4qj Z9KQZA/JO0V5NqyP9r5mhK5VjspN94xFTyE+gW5HHJPcs+rVtsRh4CrWVqNf A3eir0F/B39dGj4iera1II5Ajye+K68RR6InEj9Qb6r30fcTF6NbEbuqf8A4 dGP0UPVP8lm/Ckaiu6F/gC8E4+DPs/akaqfzR88kPo0uJ45G35t8lqWqCeiA XhXsoVvR5eiV8hIYD5/O2mR4We6lquheUU9dgi5LPps+rA0i7gTL4C/q/NVD yblrxm2LnrmatTvBpewNjn6Xcpica6zaLkDXwh+Onp0lxF3gluhnK8ct8IHR vaB3dtb8i66NzmQgekP07FcPzso1Kc81r4I/GO11zcjZ0T2hXtDM7gvWgC3B M74Oe0ckz7aXgnv3uOTZph5eTVwYPWvVA6OSa16an3E1fHi0V+QRze7GyV7W DNe3sV7yLNU38lr4XdFe0hn3Q0+I7mX16IzoMyrLntHs3AN2B8/QmJyzctU3 cW/0N07fNl3TK3uwTT7jntmjLbPnu0d7WN6VBzW7tkafnWZYRfZsq+y5A9H/ KGh2zdL98lv0/wb6pmn2HwR7g78BveVt9XHwjJoW7eH2uUcq4GOiZ9Ua9TO6 NtrrmmFTc4+2yzPkUHQOerfe0Ym927KX9M2ujPZUSe6JscTK5Gcrh/8BC/g1 cg== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXf812MXxn/yve9Pu7RlJD1GsvfeRUbISMqmZBTP43msZ9gzZW/ZNNCU aFCSSikpWlYlI0IaqHiut3N9X9/+uH7n/tzjnPO5P+c+17l/35bn9erYs1pV VdU0/dlYcmKqqvq70EHYXri1VFXVR7hP7dsk+woPqX2H5L3CpbmqqltRVXWB +p4XOgs7Cg8It2v8HuFptU8XdhDuFe4R7lb/dZKnCa2Fx4S71He/8Ijad2JT eELt3pIPCC+qfYawk/Ccnh8THhfeFd4URgsva+xMYVehjfCQ+voJA9XuKuwi 9Be6CDsLT5VizsPCM9gWHhWet+4nhBcsnxSe9Ti2n/Y61rwqXbsLuwl7pLD5 kjCgFDaY+7LX4/srlti5PcXcIcIg+8G8gV7H86ueiy8jrQsdIzyPda9ZMjZM 6G/7Q+1Lf6OffXrdOtC9t3wYJTnB+zjUOsZYDhfG2d5r3u8hnveGMNjPYz2X eXul6EfvO5bMnWiJjrf9PvjylnXzPFNYKCwQJtknfJlsG/gy1WvQ8YdsrRf2 FT7we2Bziucyb46fWbcuxZzpwmzrZWyW7b0nfGQ52f7gN7E2w7p5/tB9rLlL OqdJfiLsp/bHkousY4z9nl8K/2b4/WZaxzz7wtjcUujh+VOP49fn9gl/F5dC P7aWWLLuC4/zrp95HWu+8jh2llriy9eW7PO39gmb31miY5kl9r+3xM4Bescv JZcLP5aizfv+ZImPP1vi4wpLfPnFEl9WWuLLN/YFP1Zt0LfG/uHXb/YJXw6S Dz9IrhXWb+DLr57LvHWlmMPYHx7Hx9XWjd6qFL7iI/HLueFcbZSiD3//9Drm VUvRt9L+zvC33DhFH76nFDbw/RC1f5esIVnTbXyuncI/fC9S+M37Xa72sUID oVaKuczjGdvYqZ/Cb3zcxJKxuineE3/rpNDNc70UfaxpaB0l4VLhKK/rJhwm VBe6C4en8LmHcKR9aSLkFP42TvGePF8kHOH3a2TdjF0mHJ3Cfk+hvX2/RGiX wseLhbYp9qOr8zf5t5fkMX6/Ls7f5N4TJU+wL1XioD8lTxI6CpsKWwj/SMFj +AinHW+/Ntb8yZJ9hG2ErYSWwtZet6UwU5ghtOBMC+8Lm7FHWltHKAlX6Pk4 7+W2G+iA6+BAuAGuhAPhQngNzoQ74TW4Ds6DK+FV+BWehW/hXTgRDoQLZ6v9 kdAqBcfCgfAOfAiPwUlwKRwLn8GxcCbcCR/CS3AYY+R+OIB8RG4jP7EezoFr 2He45jn3wSfwyiMef7pU4TDGHnYfest8+bz7Bvos7ZmCF1+0jkEee2wDO095 bn+vf9U24BW4As6Ax4a6b4DPapnrhnmMWFzjHDDY6+CeO1Jw7eBShS9HeM1o 28AeXFTm2JGeN9Bzh3vv+tuXMkeO9thYP++TglPHlyr8N8E24IuJ1g13lXkP Oa5U4UjWwGlw1TSPTfE3Y+5UP4/xNyzz5CTbwB58Mt36yE8z/Ez+n1uq8Nws 64I3Zvtdx/l9Jnm8zHUfWtdkz2V97xT897FtzrcNcgC5cLVtL/DYO35m7jT7 Aoc9meJsPGA7cNBC24B34KH9U/ArfIM9+GWRdcApS+zXF15T5q1lpQpfLi5V uO0724AHvilV+O/bUoUjy5y51DYWeC5jB6bgwh+8jrgj/t5wDiUnlrnwp1KF /1aUKnxZ5k/k8lKFF3+xHfZvlf39zTYOTsF/v9vXNZ73teeuLFV4F9v4B4es tR04Yb3H4Q54AXtwyEb+biXzBOsZL3Pgn16PDcZZg95azv+HpuC86vavpnkE H3OqcGMyTyy3L+sMeKCWeaWJc3iVeaNeqnBefftHDm5g/xgvc2Bd80s1j7MG O3XMNa8Lr6XgvFEp+O9w+9c4VXiskW3MctwQI2+m4Dx4cUwKDoPPxqXgVDjv rRT8B+eNT8Fn8PrYFPwH78In8Au883YKjoTz4Bj4CD6D3+Cr5sLJKXhuc+Gd FDwEt01IUTfASe+m4L8TPA9ugufOSnEvIoeNTsHrbT0GF/4tBc/AZ3DZDEt8 28JtdJ2a4n4IV8Ep8A48AOA+uALAU3DLM5KdbBvJnY91jMFf8ACA3+EfQA0A n8Bd3K24f/3H7wCX5BySPHxOivsGufa/KZ7Jv7VySHLhv1LkZXJyDfVXF4bq +X/CuamSU5Ccy6tS5Br6yn7gw/WS56U481enOP+cLeKc88g5uCbF+aSPM8BZ IP5vEM5PMe/GFPdmxq5NcWaqWxe6ORM1HI/0c+apuTgTnKcjrHOkcGGKGK7l eGS8tr8tfcR7O/fVLcddivNArHGOOB/Huq+RY6qhx4jfet4j9oq829Cx1sCx cEqKuuVmyX+mSox2dOw0cTw2NjrYTk19h5SjfiMuTnNs7OFv3c8x1TlVYuoM xxXx0tUxQwye7jgsx9lDjq8ujrG5kv/2GPFydop6YL7kEMfNPOFZ2yYGz3Qc 7u3xUf4+5zk2Vkj+nOIcHuJvync/zN+Fb7dQWJAq+aWb+z8TPk0Vnujub/qF 8Hmq5JeL/E0XYTNVzm0Pf98lwuIUOYjYOt9x1M59tf3NL/F3Jzdd6lj4Tvg2 RZ76XliWIgd9I3ztee09Xs/x0tNxsVT4ynqJnV6On+O9H8TIT8KPKXLTcvzy vOPcR/y0dKwQJyuFX1LU7P1S1LIPwm+SVwrNvPdXef8505x5vg/xRd4jvji7 nG1idrWwymPszdXen06Oh9b+btf421GvkmuIQeKXeCYP35bi/1bM59yTC4iF O1PUl8QS5/hGxwK5+mbrwPeb7H89f4O6XkNdOsScfoO/IX7daltFDv3Uz7TJ fay5xT619txb3CbuyCnE2Nn2DzvVnPOo1TjHd6c4y31T8EtT4b0Uz7SZT233 finm9vb85p7Pnej+FPcW7jB8q3v9vcr3GXLC3R7jPsL9q6/34T6vh0ceTHEX 4r7EvYj7D3efh1Pco7g78cw9ijsUfvAe1HQ8M4d7FjoeTJX/VT5snY+mWMud 6vEU+rmDdXCsNXLf455T1nWbbT5qH3gHalR87Kl36V7EftP3pHV+mOIOyf1x G42fonlTUtzf4NetPQa/wq3wI7mJeNxe80/X/Olqt1G7Sw59rdQ+Mcf3mWH9 6ONu+LGwnXXPdntnzT9T8+d4/BP3/55CX4tU4Xj0bOv1zFmbYh39nC3yI7mP XEKeIfdQt3M34T4Bl653X03fx4kR+vjfHJxb23PKbbiZ9bNsr5Xjbo1jg7xD /iFvtbR/1CjUWkvsCzUMObGHQW4kX37g9+QdOXO/WudU4TfH7RzvVSvv5Sy3 iVPyDneQrtrD1jnO9Dr8z8ET9dRftwhfNpGsX0RNV0eydhF+HaG5pxWRS9qp 3amIXNVFcvscZ/1Yyc5F5Kr27JswHN8l2+bgqJck6+Xg1z6SpxbmWLWvz5Gb 0N0qh37uHfAKXFJL/TWLqFUbSjYooj5tLNmoiPoUH1vm8LMTPGwuri85MMfZ raY5O+SolVuqvVURNeb5kt1z5JKNipjHHMbIueTbc9V3To6asVA7F1FrN5Vs UkTNu6lksyJq5CRZKqI2byG5ZRG/S2wm2byIOreGZPUi3nULyc2LqIWxR57n TLMGLuFswzfwDtw12XFADFB3T3OcbOnnFhuMEcPUisNS/G+ZOJriWJpiXbT7 uM065g73fGICjoQfz+N3khz5mLw11OeF/aKGo14gv45IkW9ZA7fC4fy/a1IK fhvmtcyhJnohRU1EvULd0sYxPt3+TPN5aOG+ae6npqDGoO7ge1CjdDMW2B9i iPqEmoW4oSbgXFJzDUpRH/3Feym4Cc6cZ1+o455KUZdRQ72SooamRnsuRU1H TuE8EefUaANS1HTUdy+lqN2O056dUQTfwnlwHzU/dgvzIPtPzmlqyf8Em3qf 4DD2inxD3hlfqtwNaBNP1CjUItQs1HLUJsTTCvcxRg1DjUPtQ41ETcT5oX6i NqKGJfc19zM1FRxPTFP3EIPEIrUN9RFx/7314XNNn7t19o07C/mytvMkuRHu LMca7Wa2y12x/H9P2sQya8nLxGH5vsQ3qut6u7n7CvefZF2bet9YO825vYb1 lPz/T/T39t7e5XV17Qfnpo71E6s1XHPU8Rz6O+TIreTVK8ltReSxi9S+oIj6 jt8VL8tRlw2W3CRHnQDf9srBucMkX81RQ5C3LvceHsW4fR5O3spREyyRXJzj t8SFkp/miMXXc8xjzpeSi3KcqxvJbc5dSyW/zhGXfXPkYvJwM8kZOWqemyVv ylEjXid5bY575zU5+IAcexj2c9yZDpLcuoizfYDaxxcRH+TL/rZ7Mjk4B491 y5FzybeHwC/+Xl0ldyyCw85Se5ciOH9ntY92/J8quW0Rue+v/TZ3dJZsXUSO GKD2KzlquM8lP8vxu+4yye9znM93JBvnqJFmEiM5+HKC5MQc9dP7ku/lqIfe kGyYowabJflRjrwwKcca5o+XHJujxpos2SRHHYWOKdZzoXy8JEf9js0PbHc6 Zz0HX4+QbJCj9jtGsqqIfDpK7Tdz1IK3SN6ao77+VvKbHL8J800O9Xf5RXJF jt+TV0muzpG/jpT8LUe++0ny5xx5cFCOvWPflkv+kOM353GSjXLUjbzfW37H OZKzc/w2Pk9yfo7cPVfykxz14JgcfuMzMT7EcX4wMV5EfoPXuSuSy6kjts1R S2BztO2yN1O9P+TR7XLk0o5F1JTUk3zPt/1Nz4avhY2ITWGnHPnhCsmzirjH 7CZ5T477Bufyhhxnk/Edc8zhHPfIcZa3yRGLxOFavmEOHiQuRjo2+Obv+rvz DYf6O74suWsR5wu/OubwrU2OvWAf9uZ8FZFz91T7kCK48/gc9Ra11m5q71cE 5/2q9pocv9vjC9yMP7uqvU8RnLeL2nsVwYW7q31AEfXlfmq3L4IP9lD7oCJq YvIEtQ5ndn+1jy2CSw5U+4Qi6pJ91T6qiFrk4hwxTTzvpfZhRdS7+6jdtgiO +T8cQ4h8 "]], Polygon[CompressedData[" 1:eJwtlnfcj1UYh3/qPee0d5EklC0rsvfeIiLkk2hHQ6IpM0URkkShIiOSkchI w4iWLbOyI1FEqevb1x/X573u5zzv8zvPee5z3ydvp24tup6VyWQWQRYcjpnM UZgWMpmSsAP/Gd7Db4QX8XuhE94bBuMPQme8DwzC74Y78edgPb4RxuNF4SX8 frgLfx6+w9fB23gRqIkPg/74ABiJj4DB+BDohPeDp/CB8CReF8rhPaA+fhpm 4at4obNTJtOVuAvxXHgabwQV8Sc0R7wpVNez4Bh+Aj7AS8EzeGOojPeEX/B9 MBkvDvvxQzAFLwHP4k2gKt4LxuKXM4dFmhs8RpyfeAV+AiYT14BCeCsYj1/D +Gd4Y3iLODvxErwh/EScC24P/iaj8MT4x1o7+J34OugQ/A2P43mgdPA7/Yrn hvbBc26Ovwuv4F/BXvxaaBf8jts0H2iLvyPwvPzeF3gzmKjfI/4cbwoT9P/E y/Am8Dbx1cRL8UawljgntAn+5i3wR6E7no2/t8IN3L88eI3aEBck/hpfDe2I ixB/q9yBDsQ3Eq/F10EXPZv4NF4eHtZaEGf4ewtxa/7edsavhpaMPXLm94/D G/iFXFuA14G+mj+0Ds651/DA+Dy8BrxOfC7xfLwW3KDcjM7FpeTfOPxKxhcT N4A3iS8l/hSvB2OILyZeiNeF0cTnE3+C14bhxK/CIO095SxeNPndTypn8O5c exzvpz2K94Iyyg9+/77onFeua8/2xIsnr9Up7UHiPtG59zL3PxCd88p17dGH onNauaw9Xpr/7a9n4hvhduVO9G+3hELRe1x7W3sgLz5QzwyeU+HomqFaoT2n vZ4DRmZ5zysXWkLf4G/SLXqPam9qDw+IrhGqDZrD0OiaoFqg/8/J/BrCb8F7 qEFyDir3DgePVYh23ZODuD4cCs7RKsk5oG//E/TQ3kzOvb8Ecb7otZ1BfE90 jVJtUs3rHP3N9K06wnR82pn3G6Z3xicpz4P3/BR8avTYEO6Zic+I/hbDuXY9 /oK+QXCNa8xcKhIf0V6HgtE1WbVYNUq5Ujt6bsqZT/D5MJTnjSL+Av8Sxii3 uDYXn6f5Bd/zOb5MOZflexbgC6P/dxjXFuOLon00136IruGq3W/BN/i3MC74 nVfiq2As8Ygs76Xvo+/VnpqDz1YOZXkOa/DV0ffqGSvw5dFz1TOW4Eujf1tz PBLds9SrpgbXrgPwfnAN2xNds1WrJwXXnh9hYnAN2hXd49Tb3oUP8VnRa685 qfbtjB5TDbyJ9d9EPAHfBFvxLVAs+Jmbo3ueep3uORjdI9QbNCfV3t+i56oa rFr9B0wPrtl/Rvcg9R5dU63fHT131fwC0T1WvVU9rDdeLbqWqQY0Su4h6h3K kabElYiP4scgX3INV+3+EprhVaK9OZzDeHnYFlzTyibXPNW6LRCJb4Yfg3tO ueQepN6zFbKIs8Gc4BpZJLoHq/fq2j/EJ6EsPhMyjOWP7tWzievgp6L3ju5R 728YPaYzgHp7A/gouMdX5P9LEW/HdwTvlTJc2xy8Zyok12jVZt1TUvcn1wrl 54bomqZapjNKCbwj1zbg64PXomT0u2lN1GvuiB5Tz1Evaq+cDu5J6lVtidcE 9yz1slbEK4N7WqXkGq/avlN7lrh0tO+C85LfSe+iHqC1LhG99lpz1dL/czCc qan439FrqXfOlVwjVBvUg/9lrF50L9SaVWXspuja9jNUS+5B6j2/wCXE1WF3 cI+Sl4ke07XLiGvC3uAzjbws43uCr9VJ7nnqdQegRnLPU6/TPaq15Yl/Da65 zYkraw8o9+Eq4rpwMPjMkzs5h5W7OmPUSz4T6SykZzRJPnPorKEcr638JN6H 7w9+VrnoueiZVyTfozH15MLJPVW9VN9sSPQZTWcz9aBiyT1TvVLf+KLkNdTa qWfrrKGer16vM0eB5J6hXqFvrrOVzhg6W+iMpbNIUa5lDz6T1Eo+I+psqDk3 Sz5T6SylNcmTvEZaG525bsFbJJ/V9Ixi2ivJZyf1ywuSc0q5pDOMatP26LOb atR/ULCZvA== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{51, 1, 5, 9, 13, 17, 21, 25, 29, 33, 37, 41, 45, 55, 140, 238, 239, 186, 245, 141, 246, 240, 241, 187, 247, 142, 248, 242, 243, 188, 244, 143, 169, 170, 168, 185, 183, 237, 167, 235, 166, 236, 182, 234, 165, 232, 164, 233, 181, 231, 163, 229, 162, 230, 180, 228, 161, 226, 160, 227, 179, 225, 159, 223, 158, 224, 178, 222, 157, 220, 156, 221, 177, 219, 155, 217, 154, 218, 176, 216, 153, 214, 152, 215, 175, 213, 151, 211, 150, 212, 174, 210, 149, 208, 148, 209, 173, 207, 147, 205, 146, 206, 172, 184, 145, 171, 144, 250, 249, 139, 203, 204, 200, 202, 201, 138, 197, 198, 194, 196, 195, 137, 192, 193, 189, 191, 190, 199, 69, 51}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{252, 251, 255, 507, 498, 499, 497, 501, 500, 437, 503, 504, 502, 506, 505, 438, 509, 510, 508, 512, 511, 439, 478, 559, 470, 496, 457, 494, 456, 495, 436, 254, 253, 252}], Line[CompressedData[" 1:eJwl0lkz1QEcx+H/sZQkytqCnBJChpO0R6doUTf2yHauuuLdeCGuUCktzFgq 20TLkBYh78FjuvjM8/ve/8KxwaaBUBAEQxp2pGtWUzoTFwS7DLNAjzRpN/If TzNfD/XefsAd5jFX9/XOvsdtnuJJNeitXc8tnuBx3dUb+w7/MofZimrCvs1N ZjFTdXpt1/IPM5iuW3pl3+RvHuNR3dC4fZ2/mMZUXdNL+yp/8ghTdEUv7Mvc 4GEmq0bP7Uv8wUNMUrXG7Itc50EeUESjdhXXGMeQKjVif9eKHtufmcBpxnOG iVxlIed4lh94jl9YzI8s4ieW8CtLOc/zXGAZv/ECF1nOJVZwmc/UrBa1qk3t 6tATdapLT9WtHvWqT/2KqUlRRfb/J/T/p/YAssFASA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{591, 590, 712, 834, 998, 999, 997, 1001, 1000, 1127, 1128, 968, 915, 954, 953, 843, 1046, 1047, 1045, 1049, 1048, 844, 1056, 1057, 1055, 1059, 1058, 845, 1061, 1062, 1060, 1064, 1063, 846, 1066, 1067, 1065, 1069, 1068, 847, 1071, 1072, 1070, 1074, 1073, 848, 1076, 1077, 1075, 1079, 1078, 849, 1081, 1082, 1080, 1084, 1083, 850, 605, 597, 596, 595, 594, 593, 592, 591}], Line[{860, 669, 673, 796, 675, 744, 914, 967, 966, 1140, 942, 1139, 943, 952, 869, 912, 913, 911, 941, 1148, 861, 868, 1137, 1138, 1125, 910, 996, 1126, 1149, 1151, 1150, 983, 988, 862, 965, 986, 980, 994, 867, 995, 979, 974, 978, 977, 985, 866, 1157, 984, 973, 976, 975, 1136, 865, 1135, 993, 1124, 1123, 860}], Line[CompressedData[" 1:eJwl08VTVWEYwOGDFwXF1pU14x9iKyI2HSYLFYGLQQgYgNi6swUFuxa2CxN1 Y2x1oYO6tsDueL5x8czve98bc86dc0cWlWfEE6IoesriWBS9YyefWcInivnC LkYnRlGJjtJSHaO7dZyW6ViN63jdo5N0uU7UFZqq+3WaVuhUrdTpekBnapXO 0GqdpS2aobU6W+s0Uw9qnq7TXK3XfG3TQm3QAm3UOXpU52mTztUNOl9P6ELd pAt0sxbpab3LVh6zjWdc5Qk7eMBDHnGPMp87o6V6VuN6RbdT51yodzhJk/mU XmYLteYCbecY683H9RIbqTHn620O02g+ohfDe1llztNbHKLB3KovecFacuxy w32ymizzGs3WGm2m2jlHL3A+fC9Vdtl6kxLnKaQzmZV2abpX63WfPqeDZUyw ywq/Necop9IuU2+w1Hk4IxjCMIZSzDWvXw/v4T7pDLIfTH8GMiBcj31f7UcK fehNmn1P7UUPkkkK122fqN1JIEY3Uu3/Ejn/0j/8Ds8xP/jJV77zLTzXfOAj nbynK9wzb3jLKxbxOvb/P/YP81pvOQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FdwFWUYgOENJAQRSUJ6T+wyo5LeNTEaJAUdxkEULzQxARWSawsyiqY7 o2IDDaCAXayIKGrsGjsQLCDECmoAFSzB+ux48Zx3v3/3zOyZf/fkNnfMbo8I gqDMR1dkEHRyXlQQxEwIggeo5n5qeJCLuSQavZ7riONxnmA9T/EkU3mGDTzN Rp4lnk08z3Ns5gUSeImXeZFXGCSR13idV3mTN0jibd7hLd5liGTe5wPe4yM+ JIVbOINObiTfb/lEP2U7n/MZBda7NJc5jmv1Sk7maMY4k1tZxqU0u65F/+Qs DvM3f1HoXLcew/mO6/QqruZY5lpr1Rn8y0z+4WxO4TgC19TrbdzOfFqstWkP x3OBuUGv4bLwvswLtJcTuNDcqIu5glbz5drHicwzN+m1LKLNvFD7OYmLzLN0 CR3hPZjbdbxO03EaQSRR3GGtSE/VYp1ANHeaS3S6lupEjuAuc5nmablO4kiW mys0Xyt1MkexwlylBXqaTiGGu82na6FWayxx3GOu0aLwOdCpxDNgrtXicF81 gURWhnupJVqnSSSzKtwrLQ33SFNIZXW4d1qm9ZpGOveaG7RcGzWDTO4zN2mF ztIsslljPkcr9VzNIZe14fOnVeH58Jx3NYloxry7o4wwzBCDbGQ96xgg37U5 vvs7f3CI3/iVbH7hIAf4mZ/IYh/7+YFRfiSTvXzPt+zhOzL4mm8Y4Su+JJ1d 7GYHX7CTNLYxzMdsZQupLOWG8P3iZvLC54ZHHT/GQzzCw8Ryk9/YTx+99NAd +f//23+hGpii "]], Line[{1363, 1308, 1312, 1316, 1317, 1318, 1319, 1495, 1631, 1839, 1630, 1837, 1629, 1838, 1656, 1836, 1628, 1834, 1627, 1835, 1655, 1833, 1625, 1831, 1624, 1832, 1654, 1830, 1621, 1828, 1620, 1829, 1651, 1677, 1619, 1650, 1618, 1888, 1887, 1580, 1886, 1649, 1875, 1701, 1616, 1827, 1874, 1873, 1598, 1579, 1885, 1648, 1617, 1623, 1622, 1599, 1664, 1653, 1876, 1652, 1877, 1678, 1679, 1626, 1363}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1nk4lVv7B3CZo8NJishJg4g4nFT0i68pMrxHokiGg0xFOMmQyitNUpSj lFKOyNHwFtnbNiSZx2pH0aDsvbG3vffzPGYq5fe877quda3r88e6r3v9s+7v qsCoXcGSEhISzfT+72mXnqRktpfCG4sRXZ/MafzntXLb9oMUzMdn2coq0wjt klqieYbC0LxK+S2PKbzK6i/RukXhX6slOsuKJqEua6MY/ITCb/6nlxdKTWKH pmOTXDOF7YdmjBUiJ2CyVOOC5lsKvpZsxuOBcagu3smK4VIgBev44QfG4a57 fttbMYVziy4YEV/HECSR8IfnFAWB7Lrjdy+PwezUThmpOQomzdKNKkZjyOpO 2HNYYhTeFjJXnr4chdKfcnVykqPQ1TNXR9wobI96lhTSLnmGTUrmo3jYPLbk Le13DYO9SnSd0/JTVrdo35T44bTiPAVrxsKw+QWj0DBuK1NeQeHWlTcV3+j6 S5v2PKkoJXE7ymJZC+1J6uri6HwSjRarn2fSfnbogKx1Jglb7+9Vu2kHCJf6 658gkTBsK7uctqdvyYhBJIko+bMvVGi/fVdgfPQgicCjE5mLaGtclmC0hpPw 7k9zkqXdLGTEqYWRMLu9cp0U7XBicNgylITE/9YoQv63SLhu59//Mk/h+7Em zsVgEgMhQR4TtBPt4yIY+0mU3zx9a5h2bkp8vnQQCY29c+/f0VZvLl3sEUAi 6FPrwi7axFn1ujv+JJbctqEcaQ8rGd/r+p2EW8G91Oc/KEw6T9sqW5JwCOR0 bKRteOGMb5ghidq4ts787xTYMx4tfSvo+z+97Yn6QqFII0e4tZzACa36feGT FOIbi/CrK4Egwsk7i6SgUaTESyPEOFLWxaD4FPgpLrxVmWKccIm1OjNAgbUu RIm9UQyd66gZ7qYg52U+nvhIBM5u5eqbTRSmZl59iTARwffxE7KCQaGycPas baUQBss0Sx0KKTT/NByRby/EnrXFcvsuU2i8zaoxejeCe8G7iySO0/3ezxfk R49gc8aJ6WA/CovXX0hnDguQY7fbYYcFBc7eKfOfgwXIkL3t2LmcAlNeen6J iA/9+is5SydJqGsrm5sl8JG2KbzSvpNEKNEdvWARHxvbnfRTCkhcqVc7KXF3 GApXuT5DcSR2DPQosLcP42SvqNzSlISxSFhs1jAEhkhP6EoSABkoa+88hJjo cMs/iwjoqR1W1eofRO69O5e+7iWgr+22Zi5+EPO8z9HmiwgIQgUvt2gO4kNc umlSjRiPM7n3tjTzwE+7qih/UAwFtQUJhxN4SJxWsVooKUbmBo2Tz1fy8MVa wcciRwTC7ctJCTYXajafdTUNRLgUOq96KJ0Lg50PJ5RrhXhfef2I7+9cPBv/ OJG8Uwhp2X8bmy7noiNNv6CZOwKW52xQqIgD52nL1VuOjCDiTfuxxEYO+K0B C6/yBQjfVNoReYOD6j3Xxc77BJjZGJ629xgH2r88U+h9xUdOcGxjTAgH6bYr rO/s4GMz26/1hxcHG5Vb0xUbhnE1c+lnL3cONBfPJ+2zGkbDqFbxkAcHHgVq f7+qG0LYsvOcpb4ceNvY+KhqDWFmJK/DOoYDnWDBTGryII5sXHNKJpMDi8n5 /3gIeBB4uRnsYnCQQ9ooFHjykJ7FZuvxONDXmxDGdHHhnKQ3naPGRbiNghHL kYtoIf9jpRsXbpwA0d5ODrbdfHfjySUuBNa+fXn6HLjpfvrbn+Aiu+HRkFz2 AHiKMVpFrjzYx2+xl5QfwNT1KxVlDB4qtWSm2YqfobDNizOgNYjLl7+GrNL4 hMbUpsHyM4PIup0dd828H11Kswd55CAybpr8zgn7CC+x3IJdu4fAjZ/gP777 AUJWrpla5RD6/e7WRvS8R+mQz1jI+mGMtSaFHFN5j9c6F3O2ZQ/j66VCWUP/ d7DffzV54ZdhPFRd9fMEqw8d9i7SKZ58ZFU7LjjwSx82LVQ8ePERH6qs6sld Gb0IWiRXYrdAgJZLc8FZcr3gHa9+2u8iwP4vuUcN094ixUR5TXGWALomBosd VN4iL39Hzo/XArTPcZ+vKHiD9A8sXyelEfzhUTMmZfYG0Q3KxITdCFIL+7J5 7B48CtkdsCZhBH91u9ZwonvAVhyzDSgewUNxrP8Z1R6UrPWxXtw9AqZKvVtY TTd0ld2aM7+N4IYlz9YgrBvmvU1/mKwSYsBeT+qEWjferTe7ZmMnhNsu9rh6 +2vU2rlryAcLYdFAVNYkv0auktXKZ6lC6GjLa5uYvQazee1oXr4QlNOSJXYT bNjcz0vuqRbi6oFYI6/bbOg1bAza8lGIsXspBxRc2dDZf5F7/KsQMlubuEsk 2dit+eZX/jIR/n0pTHkz6xU0ElcO/kP/P3xHmTjzmFcYLOg8PeokguLhuqvi Da+wLOrC28FAESSlH/Sb9b2E8+ZZM7dEEfxWvdPesO8lGqx76h5liPCkpfR8 JPcF5JwHBWp3RLD2Wc95GvkCkv4fl95iiuBy9vwe3lwX5rOWqXm0iZCWrcH7 J7MLQde6Ljl+EGHUq/0HS7YL43klc7ljIohKhs5tTu0Eg3X4Sp+sGGUiJrtV uhN1J9e6L9cU43TiatuV6R0wrhZbxhiJUeoT/Mfo0g50T0jOjlmJcS7mEzVb 2I7gM+vU7+8Sw1cIu29b2rFB6vzZe0Fi6MfK/V37og2/GZbWzh0WI/qlCUMp vA31pPXXB6liej56PuBPtcL78tRHrytiyDpYndQ824rKsQ1GNnfFmL5jZxy2 ohUTZLBjHFOM2e/uypcZLTj3m6vVgma631+/O/ntasEKUwcpskeM8v1+LyXE zSCMNvjbDoqR1N5k7Z3WjJK2hOkv42JEjF+X3qTfjCilvz5rLiCQcWXtTf8X TSDXUi5lSgQ97xzsHxxpwkhfaXGTJoGyXJeiA9JNcL2Z5hGygYCh3f10hWuN +Jd17GOLbQQCerdsNjduREpk3hFvZwJe7eou9zsbcOuhAr+N/odTF26UXxHZ gJro6rmcUAI6ziOSYZP1COQZfJ9KIMD3jMqpS6lHTDU5E5hGoOm60t1HqvXw l9k/Mn6NgFXEXZuOB8/xRms2tqKYwFdzxuwTx+fwX1kWWMeg61d8S14iqsPU e0p2RQOBYP+WplPNdTixtsrIppVA1DrTwtyCOpzb7pbq2kW/18mgcGdyHZyr pzrsXhOQ+3AtqcCnDo05uczVvQTWyTnLX9hK+2GkcOQDgdJLETe2KNUhXSDK +IVLYHvGociapmfY3Pem3VBAINTi+EMy+hmcdeen1em5pBC5v2pK6xmYt4J8 ORMEHrsone+sr8WOtM9p5l8JvBw4vqkjvBZJa5izYRIkjlWWd/Sr1GIgwW5r jCyJoaPyHmNPn8Lsw6l290UkBvfOsArXPkX4ANaRy0ho75U0K7pcA7Ve9hOV VSSeb3d8kSFdg6p96Tpt+iQ8f/2cInO8GlVqH7LV6bnpmRgxUP61Csp/vjoh Z0GiYWtSxo/OKgz2ROXqWZEwH/wkL7hdhcW8WlNLWzp/6bjPRh6uQgQrIGuH PYl/tMlfLjpU4TfZJ2MOjiSY0omB9mpVMJCKLfjLhcRfGaecmfxK1DS747Ur iQzWT9V9rEocIphq0u4k1vxkWFZyvhIVPe4J6/eQyNu4N8B8YSUCIgxLZ/xI HPDzaP52gYXkOzyrUDqvaX3SvpG/lAWZ4XNaJ6Lo/HXub05/QQU4pumN1vEk dupEx0eZVqBfV8O+gs6LzKiW9C8TTPj3W8T+nEpC+vpZnbFyJrxXxYy5niVx /Ofvc47xTFQrtBTHpZPwqwrznt3KxPMf92NP0/kzyeqm6UpVJtQLgyRXZ9H9 T7Dk2QQD6aThu/JsEtPztlyFVgYK780YW+aQ4M6IuG0FDLi3LkPtdRLb5CzF 8YcYMCs+lWWVR+fTIPPvuv/HgNVAIPWYzrunboxefC3PQMAFc45yIZ3/jrQG RPeWI0S5mPAtJlGVrcg4nlyOnt31Jnj43/7zXRL1yzFRG3JSXEbi/wGESk9i "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1nk0VtsbB3BjSSiaEG4qRZdULg2GLzJcupmKpAypcCUkSnXrGl9zSYkS Cak0GiMykznjS+Z5eIeT6fWSod/53b3WWXt9/jh77X3Ws5/zlbZ3M7vIxcHB 0Ug+/593v+GbW0pkQ1S/T+bsvTmsorWkKn9kY+mo8et9vSxo/VgIuFDMxsQo 70q8OAu7wl6G5TSwIR+8eQPz/Cz2lKSXKnexMaxns68hdwZXzzndbxlm46GF QZyN3Az+8h1zE2KyYVekv+Xf59MIn0oVYM6w0ZG8/vX9bdPQP3T1l9cCG+nt Paw1qVMYNE2u+7DMxt1fj/uc908h5UfxWCLHPLjrej10Sidhembzw2nOeVwN CKYXXpuEUrmp4QuueejruUknK0xi+chq/XzS/jfmB17U/8CjYMtyFdI++oVP L+j8wLYJ5Z9i5Ps28ttkjIoIPCsqEuwn13cvjBOYTCNQkWf+bxLpuCgV77RH BGQkxU3Pkd7gJ6J6248A/b18oARpld0Lsk6uBKrmd13ZRDq3/zc7RxcCon4j J4RIRym9bnVwJkChOimsJi04G0JxcCLws7wrhpu0a02Dq4MjAY7/xjwc/hsE jh4SP7/0i40D/4baOFwkcCZ0pGye9F+Lvy46XCAw6tHrM0XayCr0gYM9AeE9 T/+gkS5hHV9xsCOQo/pb3yDptrdIdbQhoFcrFhFDOmflmOktQ9IfKEl/ku69 m5GRqkKgzSNQem6FDR2t0WcT2wmkph8USCRd+jyeOLqOwGDZzm9Ti2wwWGv1 6aFMFLAEtBPm2ciSU/VI4WdiUNhT+NUsG872VxQ07zJw6qD5uPAkG+ZB3AZR mxiYktvr3ktjQ2TmnueVRDpmnxXN9Q2wsUd2bdAKiwbtYyHrQ9vZePZ0l1uT GQ31RovUkVo2fBkqZjdzJhCpBeulQjaqeGX1HmybgL/w5Y9Usj5zdXmkiiLH sXJha/vt5+T3ERm88WrVOETvKcYcDmVjxONTe6LxGPYIBy/VubNhOJ1ofjZp FB8ENZeMzdk44/11QXFlBOqD9AudB9nYrSoo42c/gtUzFh3+omy8u3bSqKph GI1rF8vPs+dwbeGmSKD2MOalpGzvt85hKkngrt6XIXyEfK3Xszl4y2iOOPAN IXTnioiO4xwkA/VyVO0GsW6ppl9Dfg6LMbXldWUDKLDVN3hJsODO0LVQPzCA hBbhpIL3LPi5HdxcldaP5n/szhS4sDBqZ1WQL9+PtHsRPQOyLMifYcZOuvYh StK48lvTLLavWFs02PUiUfTSqnjvWUR50zltnHvA9Xtq/nvJWaS6/dT8HtKN 2ycPSl8omUGC+ODMqy9dUOBpvbb5wgxi4m5y2vJ0wa1Uf1501QwGn0hopJ/t hLW6ynDuy2mkH1VX8Kr4jpLwx4179k7DTCk8+6zYd0RXPV+zkDUFKZED3QUB HWiakEaC2hScgurj6nk7YGgpG0epmMT+qHbZxSftsFYuiF5vMgkHjU83+rTb QY0wztia9wPI6klXW6LiYaCvTTCVvCdmahrzFVTEcmbwTHxgIqbsw3nraCoK KVwnh6MY+DhQfFjqDhXvE3hsd/jQocpPY3mRXl2n6yPlTUP6ZkG/zodUBNzs WNxxawKVPtpSU0VUePoIrbUJGcdA2RHVgBUqwoQCj3ckjWEjh+D5m8btiFMY 8zD1HoWEZ0dZZ2c73lXJvKaQdaDSf3bUnzxfRKD0kw67YZgX3zrMZfgdzu8D pP7xGILNZ2uh77KdqDzIFUZ5NIjsM/yq7lJdGFDcXsauHcAtVe7DfLLdkFN6 f6VUeAA3hNYtZmn34FH9uLTWyX7Q+1rTpiJ6URl0UNnZpA/NM2LVIqN9uGad 8MlQtBey62kHtJL7cS7OIerP5W4Yi7T3mJsPwKri/JZXS12IS7NwW7d6EHdc tkS0bOgCU0LWxSpnEItK5TG2mp3g4VY/YHluCAOxaTRBn+/YWRa9xWXVMJaz XgQ2NHZAq9VCTSdlGDbqp/KL9nWgpPJJYs/hEcxvkj+ikNCOLm7TFP/KEdTz e182W9OOWRvu4KJTo1iQmi609KUi097RQ7VnFIkWPDVxPFQcWy1mK3ZqDAv+ X2ze3m+D/j3964UVYzgupGd0bHcbTowd8S+RG0d/2h6dC+WtCBlzKuz0H0eW flYzn1MrKq887G9rHUeH5fvaS8KtUPRKyaBITsCk0nWhu6gFwjRNpWKbCSxu bUi29WoBPeHssl3MBNoy4xIe7W3Bp7HMmOs1E4i1VjeRpDfjm0d2ZMr8BK48 ql4Tn9YMvizeupvbaVD76xV/rUszmn17xf/9k4Z9pU8rHfY3o8Hk2WXZSzRs G2M7Hppvgh6vzeX+UBpuyMoHrStpgpZ24imeVzScFsp84+7bhCvfXtTPfaWB /tP1vrpOE7r4ZYt3jpD9y4tPTmtNE9xNHfJnf9Egs7115nhjI245aCt8EaVj WYMjS+1xIzyusjIrFengSrc5TT/fCE4Zrj+MdOk4Nntnm9q+RpQmW7+jnKZD zVk8+hT7G37fymnvd5mOq12yo7b3v6HlwJuIi+Q9KL18sv/c3m9okyyxMoui o/8wt4ZSQwOU3oxoXEymw+S24NI79wYEP8//lZ1Jx9aNDRkfNjWgLTclzLKM jtbmgM7arHpYFD2ILmuhQ2LHl8YUi3qynxUZBwzRwRnz00R0sQ5vovdqpU3T EcEzOrQqqQ7ZYsbB2pwMCGve8D1xrA5GR2BquY6BDO/ho0NztTgX0q3EkmDg pdWNXr2wWthWNqb/vpeBpLTukf07ajGL18IfNRjgLeg67VlYg2zlTL5IIwYi cYh78GwNhvqrLrZbM3Cn2oHLbKUaaXPbr0e6MKDP5eORkFQNnQilE+U3Gaih T02c1qzGgy9J78ZDGCh6lq+uMVAF6XcuxbdjGWT/5XbaHliFVQ8Om4enMrCG j8Ow//cq1FYY2ElkMYC9tx1Ptn2FYN52KeUSBj5Ef1G2u/YV/NeoVgHfGChV nVSOFP8Kw0sCb471MKDj0jnwuaQSahS9jQ9oDIR57k7Nu1SJ231yxDk2A6Y1 C0+dRCtRpnKJXcjNxJTaj8iw9AowZTr+mRFhIuv7C/V4owrsl/Nu8Jdmwtnv tYL9j3L4H9f8dFORia8zRHryg3KY6VvxDaoxceWI+EVF1XJQZA5nlxowcUT4 9a+46jKsafPUVrViYuEER/cf1mUoS7w0Ovg3E0EpyXnxrFKYb90WXu3NBKMv XsQ/qhQSU7tclilMpJjfXIhVKsVyQLVl2EMmGolCtScdJeDSJebvPGeiZtMt Vf+MEvzJa5Y5lspE6u3qQ5sjSiBlYeWt8pYJOp2VaORUAv6NzoIu6UzkDKkI yOqUYIfXmz0hOeT+bENUE7aVoCbQwfduPhPS+U4mu34UY9XHPv6QUibU905a thcW49PsdJlFNRPR1n8lp94rxm1Db8eFb0xwuYnxhp4rhsHPI489qEywT5TW z8oW44bbyVi7XnL/gUJnx4aKoKz9Qk9klAkLznc9NO8iDLF22IcymdDK+ye5 ZX0RQgfW+9TOMnGIcVzA/00hRsIpazsWmdiQPqL7ga8Q+ZwCLJnVBHSPpAyW uHyBFzVty7QwAaXPjGKD9gLsPj2urytBQDLg6KU+/QK8+OVF2b2LQFje8vqd hfk4tFK2OVGR/G95Tu7jcMzHB7WXZ+KUCdjxv90nJJKPSe7kDa6qZH5cnAg6 VPQZ4pOfu8W0CBiF9dU7u36GSMhGrUQ9ApUjlHB5lc+oe1yZeZ3MZ7VPcinD K3n4LXjeV92IgNqOLuPwqjy0UIZ3TZsSWEt7ky35IA+Z5RVij8wJRN2xHe3h y8OptoiJZTLv6UjqCgQH5OKyxtU1P8l8GXU+fVU+by4GmozT7rsTSDdKKJcM /4Txorf2td4EIhRr3tls+QQ1OSXjdz4EnNN4uaeHc3BPqLN1QwCBAtrLFIfM HFhkrfN3DiJAXN0Vm+OXg00SQ/XpoQQmeK3Eu81ysJa+uIMWQcD9sueZuwdy 4BrvZrA5ksDHV2PuiSI5OFQ78lk1isBBg4TX62eysbP3YqzVQwLW1/lte1qy YdKexnGVzNuW7681jqdkgyV9uunxYwK+P40iSq9lo/IAoZnxlIDNnWiViwbZ 8DQVyix4RmBMXD++ViIbzEdpQXlJBHrtYo4NvsiCQtPfpu/JPE89LW7FpZYF 47r+seJ0AmmhNIojNRPVIl9HgnIJ/A/Ria/2 "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF03k0ldsbB3DJJUSDkrGiQVGaEJLvVUlI6EZECmkQKSU6Um6Si/O+ZJ7i GHPMmUsy5hAqhaLinCJDeEU3pPJ771+/vdZez/qs9exnf9deays4uB124ufj 4yuh939VUlrl99zcHK7reVq9Xm0F1+8n5y8Q/Y2IUOlB1QsWSAtV9XY9NYsc J+ZWpb8P46ZGIeE/M41eqSW+3MtmiJsYSrXf8R2p92aaWtxM8DQku17g8SSE yo0zPOyMkaRhkD4m/xUD+xv3zWoZgdUln3fuwSi8rS3arWGE6R9xZqo1Q1is 6NQ0vN8YaxWYk9WWn9E9XOXVYWiCpamVOmdPfkLgKddLgpvNMDtlal77nItS /R7bHtPD0OybGh3Z8AGWaj42KzZboHhq3Ihn3AWxDS2bs79aobStsM14ogMK ys4D493HYZjkJV4j8ho39q5f7ifvgPuswrKB6Ze4IrTwooyDE3TUfdnL9zzH 3zXPI5ucz0G7s1SgfOYZ/hE03a9y+gIOqT4X8xZrRJh0wLudBu5IVbM1sbv8 FAGdBXulJK/C8v6IKEOxDqHz2k3HWhhw6yt6zV1ag6y6/YE/zH0RrVVZbPCq CuyLE4mO125hmaCDTFhmJXR9dgneoG7jXjyP15BegSsTP19EVgUghK9ZHZyH mFqUUx/0PQhRor1cP5FybOsq0eBPJaH6pHrU0LUUrf1dky+d76LffVNfv2AJ grfwUtpTw1Ec061lX16E5oSktw1KUYiS99HW8S3EVJWdnB5fLKLSNl5dfPwB DrbNuM3sTECvtLV0iEkBAh9tj+zqTkLz85mijWr50Cl6pcM6mowRpd2HInpy UVkYkzzOS0EP56BnfGwO7FVn1f8IScMxOaUy/1PZ8DDxcCi0z0Czj/LqFN0s 8Ast4M3YZmLb8YLHD6SysNJU6URsaiZuqFxJ559k49Il92y+L5kQzPHximhl Iy9TqW7bDjaiCt+2n85k418+/nTV62wkvFWKK0xjoykz+vwdPza0RBLmz7HY 6I6I0OMGsVGWILfk4D023ON8lHTC2Fg99L7aPZ6NJdU+icORbMTF/rf+XzO3 zM+oiWajPnl5twF9bviDxrshus8nxj3xOz3XRlslWpuew3IR32JB5zhqs/l7 MMnGT6OCFyX5bHi2rJ3+QN97quK9r1QZG79EhH+onWYj2UjY2WleFkIUH2o3 67ER+ypLyO9gFnwuiduy5Nng/7zV8XJMFs54SPAVz2Si0Ls2WLM/C9zq/R1J jfeRLfD03OKcXAQ/Ufxtzs6A/FVHrWTbAojmSlUMxKUjvYHZeVK4EKWPV/0O TEgDO6z9mENvEbK4lW0uuakQte2r+sArQe4nx9GlUymQHczLLk4tw6GdEaqN hilYyf2Xd+7OQ5RrlZtsSU+GiyXPtDq4Auou51LHFiQjY7Bm/GpJJdyUTSfy r7Ag4cdhJ/NXY92TX8YdhUnoaNB3ZtvX4I6kOtOETITMwaxHq7tr4b5zmjvF uIcznH3UL5d6OHeaOol6JeDsPLd8KdkGHNvFuNlwOx79ce+WKvZzYC502v4C Kw4M18j0hOYmPDbJvbGDEYsJjdFBB1YL5p1N7M5zjcGkoOmq2pwX+Lkj5Z7C tWjsUV4U/MqzDZq9DMlvnChIXjmU0Pj6Fc6v2P2iZ00UfoyOGquiHQoKZftW MiNRka+6ebi8Aw9UHWP+nYuA/l85Ycl4gxBdhxt5NyLAyDORrWh7izIn1V2x QhF4fNQh0dG1Gz2G68uNw8NRdH23cbvKezjyCxst2BgOUkZTXWX8AwYrhQYl GsOgaq5KJJX1Qum645HHbmHgHAyQzqri4pk+R8NqVRjMqqYXq6fwkBq1cItB 510wFrZcFr71EXFd199/Db8LJV172bbjn/CxdNVY3d67kK2I1FS52Qd5B700 9q9QdDmfGJeK6Idbi5y9Z3Uo3ni5HnKM+4wWvuJe+eBQaJ3Qcz4ROgArYqw/ 0zYUTrISy8avDGKR3oGHu9VC0V7Har5hMIS43NQz0ktCsd3cUHFMaBjHDSZG 5ftDcISsbQ0oHcbUewNFiaQQTBXw7CwDvgDzTqqtdQpBZ/yRxD7tEbz1e9a+ XjcE/+xi1fOXjaDJiXM5Ri4ES1R4WnlrRuG/1SIob46E8+o1yWdujeKbpcfX R59J3Dj/If5++yi4fDVqG9pIyL68eadDdgxrvnkYXX1CwsyhdJOe9RhYZ8by d+aR6NDtU15FjuHp2iud4iwSJUaizgEVY0i6HZZkFUoihxvEqRwZQ9nQhg5h PxKSgnyfp5dROM3vkZzrSUJgJ6f4mTpF/+fmrf2uJBys2SL+ZhTYS5MTHJ1I /Co2KtI7TWFHslv48HES2S+lDYc9KdQZ2t4zOErnLZ1j4A6FTTy7XnNzEnly U7G9dym4PMwI/m5EovjcFofXCRRS5Pqs1PRJrNOZ3XY8nYJ9oLjNEEjs4asu EMihkKpesX1Wm0SDiJ+s2gMKp1RrT1hokLAXPHJTt4RCTFbXxMA2EnZ5/sWn yikEr/83MGMzCTFbiUNdjygYSq1MIDbS7zU9tbnmMYVM0THzkHUkUq//ytR9 QkFTZOtkugIJ5Q3K+89VUWDoxCxslafzzLew+auawiOxIqV5MiSkomy2idZQ +Mn/MgySJPbmXx2Mp32Wa6x+ZykJoYAmZfFaCsacrz8UxEmQu0OZnrT7HWRn 64Xpfv02gUba6ktV2K5/kIjr/PnrjzoKn3vremTmkRhc5LlLg/YqqrCm+SeB 5nAdfVvaYQOP8m9OE1Bg2FYwaJvJCaldnSSgxulzj6bdKN5V7jZG4M+iH9l5 tOf4p7vODxEIKLgkUEtbRfK6mXMfARtpXdYr2omRcsPOvQSq9YNNeLRTTxj6 uXYTkKnedW+MdpmtopRgO4Fsyz+tf9Nu7vyRndxKwGUVV0ysnsIzYSmlPzkE BI99kZSl/UDiwDVeNYHR2zUFG2h/k7oQ7f+IQOtkEL8G7b43vM66QgL1ZWnC +2kPnhLZIphNwKfhzCcL2sUOjTEHUwmYn7ZiOdFW8F+wKDqewJagiwc8aKe1 ZOxkhhMo8Z6N9Kc987Kzzj+YgPqKpo5I2uW7Lub7+RGw0twrkkGbsUTV3Mub wM6YfWaltIOHMq0vXSbg1RfHbPivP3Tb0wvnCcSuiazqpK0hRvnucSTQ8zex f4B2Q4JOs4wNgWMb5eqnaDtW72NNHSawos9ac8FTCu+s8+7MGhIQo1Y5ytCW lTo0KaBHYENGyq1NtFvtFvAkNAnwM8ajdGlLNXM6jVcSEPquW+ZO2+/jzNEH AgR6W7iMDNon9We/7P3CxPekto9dtE3PWtrFcJh46BL5W6GBgvayGM6+NCYe fDZ2Okf7ZY+Wr088E4wPR9d60+bJBCZWhDEhNM3tYtI+Gca/ci6QiRfp7/0S aZ9/u1en/BYTn/IeauXSlld6JeHhzYRM98uBCtppixqS1a8wseCgBfmM9vLd xlvjDzDxZsyrQJFDIaReY8Rfngnt92/qrtFed+9C0uREMHwXyra+oL2+VvkL qygYu/WW1Js2UtheyTjv4hGMNVLpHq20uTcDf5loBiNKJGziQBMF/W6uke7P IMR4ZxjW0s5Ob+lmFwahWTBzxPIZhf8By2+nzg== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Hs4VPkfB3C5FjvYQgirtMPE1lJJv+KzFk0MU6RcEsXQViREY0wuFeVa M+dbVEJN9WiFsOgeSUSpCCUVKkX9OsclFdJ+9o/znOf1POc53+/n831/P3MD wz2C5eXk5JLw+e9dH2ZjUPcLBcc39S7wOzwGVtlu4Q2/UrDR3m5BSegYzFmj 7rXXmoJu7dEfi9XHoCXlZOQ0FwrY673STWWfYYaH0DLKj4KDtyweadl/Bg+J snlfGAVQcyNN/t0oBOg9H/OLp0BAT7+hR0ah0jvkj6FMChyPtE7lc0fh+oFL 7jMLKLD6K3HrM2YE7E2U2ycuUUCvKL3KnB4Bl+8tD27XUED11nrI+45A1VNu ueghBc9l98tddEfgdYd/5tIXFChHL2TN7R4GxxL1t6z/U7A4m6czmT0MbxIm LcgE7j/y6PVzvsPQvPH5tdfTCXBUXHl8k2GIOhyeqa1NQMVO4Ow4NAR1xlzx H8YEzgwTS7puCJjcn9VKLAhc4Pc/H5UMwU/+hp2PlxGAOe2XxMFDwF84LbHZ nsCh49LH7bZDMBYwKa52IdDReDtrm/4QsEuzoko9CFSmU/erxhkw/71jf5MP AdtkD2/+SwaWhp1KN9xMoC1o3beHdxgoavi+5VowAaVf/v75fTEDA0V3WZXb CQxku8ncjjPQutWbP30ngVOfhLlu6QyYuKp0q0cQELAMEn3iGVA9YWTUEkWg ft2u3o2RDHQahOnyYgg4BXBs7bcyEHRLd3eakIB9UkfNFz8GTr77y1QvlkC7 2Zo2f18GHJ9eei9DP3tbzG7zYmBTk3XzAhHWoyCM8lzPQGjsg95idPWz+bv7 PBgoW0g3XkVzrjSknUWncjLPN6DVRQtrQ9DL9S6KnqAHB7izOWglgV9fF3rS FFxU0XFaJdxetMdlo+QP7gxEXYwoe4e2O0LJ7qNTlrTqfkJXKP24V4y2dmvp G0ffunKTvQtd0vanTCWOgLw3V2aFVkxc4quFVjt2ED6vZWD32WihBM2KMzY4 xkfrlo6oigm8HlSb5eDKwFWn8y8S0RX8I68nnBmIHO/ijqAFYMGv4TJwcYbr x4J4AtoOx1NNgIGIzD3u+okEqlQ/pFktw/NUWB8SlEQg4MRU8KtFDKiM9LQk 7COQpRLrb8hhQPbpzbvI/QSsdza39sxj4Jt4r5LsAIHW+C6T2foMpC+qv5yY jP2eP3nZcyYDLyTnhNopBFJOKYzFqjGgfP/QmW1or4kf9juUGBBsW5t3AN1Y G7pTU46BNbo7xkPRIpF3WuEYDYuWt9Cf8X/ZvCtegYM0aKXPKuSgVRabDS7s oaHet3CPDq7vruE/WNFJg2mTOb8R9zuluOPc+Uc0pB7bYuCM9axiHeTea6JB 1P/Y7HQCgYK3gSff19NguYby7txLYGPO/+Z31dKw2Gk/H7C/5dSuu6E3aOjJ LNVPwHxNlEZuH79Cg0eIYV1+NIGZd4q+8Kpp4BT0riuMJHCg+6PYupKGuvoR t7xwAoom+eKcChqsnMymkkMJiG1cW73KaWhOtqsJ3IZ5FXVpby6jwcbm2eJl IQQSNyh5nb5Ew62A88FKQQQ+6syap4EuWhJKtwRg3rzPXs8vpcFI6etSFT8C 33KCBYC26AjwWulNgN0UoTVRQsOZrl/jwj0JzNYQ3mlGh8YExp9eSyDWJmPR RfSK23bKba4ENtssEuSgPX7yzVJ0JhDipRaWia6L91wd4oj3QxzXfgitLque dg+wX08bDNPRvbfT1X9bQeBkjnClFJ1Rk3dBak1gx96/a3PRP4yVJr9ZEojf LLxwAf3awXRe0G8EQgOcbS+je/o+zUgwJdCb1Xf+PvpWVK5V3lwCqYIqbh96 y6DixZo5BDIKhou+orf1HEjox3nG/rz7oAbWa6lgVK6hievv7ylko41HubFD OP8M9svNc0A757q6Pp1GwCrOrDIAXRipx7kzToHPijw3MdrO/41a5QgF0W92 9uagu/rrRT4fKdAs8/qnCj2on+Gn8JYCxnz6niforzr5ReU4j4tY2exhtO3D LxkFHRRcnZ7yTB3P51HSgJjC+d0+M19ojpawNGPSGym4WVqosBp9dM9NzSO3 KdgR6eO6GT3pyObnXKfg7VN+ihDN2jq24GwVBQ/s0sqOoLMnHjk5FFOwZF9X XdV/3897seGDjIK7/cfKutGOGrbuuScoqGG/F8ljfgbCNz3uDqfgBU9vqhS9 gbfJpdOJgpe9eYd8MW8Nq2IVDxpQsIqrai6PeTSXd+v0VKXATbNmiocWS1b7 OH2VAmdQ5nwUzRPxLL37pRCjaqP6Ej1YXjSV8UQKCm+o5ex/MD9jg/s6q6VQ OelYfAKt43AvK/akFL457L3Gwvy7xLRJIhKkILKOCEtAB97TUL4ZJIWEQF4D jY5TeNUoWCkFpjba+3AVDRV6DuIKbSnYV7evsMD7NNRDMedoCahZvUq6i2aX WujbNEkgNaZ7pf9lGtJYgh7/VAm4fZdpBeN91Nm+oMF8gwS6CjmSJVdpOOVo 1DZ3vgRaNA+7/0D/Cwo6AtM= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0., 1.}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.02, 1.02}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[1.025] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHl0TlfXwGMoojTG1hhVMzEFQZBrCErRSCrmUmOosQmq1BTz0JrnkoqE EiRijPCYh5Agg4xkHmWeVBBfv7Xub9+1rvWufN6371rfu15/Peu39tnnnH2f faZ997kNJ8y2nVzayMjIqryR0f/+LltU3MZ0VaThuxvOhrHdPRXrK7NCPIcF CZuUvvJi9aDbwiNMf6rmde6IMPqj+j+NvNrruujD6MPow+iXPfFnqO3kB6IP ow+jD6M/3Lji9B+sg0QfRh9GH0bfzPczh272YaIPow+jD6NfanaTKWUdnoo+ jD6MPoz+8821Tyd1jxV9GH0YfRj9YdM/b3//Vrzow+jD6MPoG/o08zw1JEn0 YfRh9GH0W9Rv03Z7aIrow+jD6MPobyvsePLH8c9FH0YfRh9G/83Dbq3HpmaI Pow+jD6M/plvGj75vGu26MPow+jDcfstVkydGWp4Nv/3ym0n7lYGGQYPzV8U IEz9sNu6Md07WPoK0x5MezDtwYt/nf7zyHGbDLUapq9oMcxdab9xb1jvheEG s5PHhpnNmaNsOxHYauN3IcIFARWXhgx4LHwyZtXhHpP8hMX/VZ7bqHDgo47X hR0ePIi7VfGMMP2v2OLgpaxxPtI/mP5ZzN9yuemQs8LRkR4XL8w1iH7borTw dXZ3RB+m/M3PE0a5+d0U3huUM2JW1D3RT29b5vmmS49EH6b8rNVv7TtnBggf 2r+6pZFRoOhfj6uSau8fIvow5SvN3/RHwtpg4QVfb29+r2qo6O/cYZrcIDpC 9GHKxzbfd+TE3nDhQaUPNd3aKEr0Z3xplpiSHS36MOXPRR51m+/xTHhzxPCt J/bGiL7Lm/05I5bHiT5M+X79Ix83iI4VLvL+turWRvHa/xfqOqdHxUTt/1OZ 8p6fx9mUdUgQnrRp8ub5Homi7+R5LKvhtmTRhylfpyjlYUp2knDAlBkmozul aP6/zmtWuXppmn+rTPmVQVlD/BemCnfp6fiLciVN9L+ceCEj7XC66MOUz/Qo 9PcqrfGh2j9Vbtw/Q/RPdzfMeNg6S/Rhyo9Y/WbQzg2ZwpXzlm2s8ChLxjvl YeYDxj9yGDntw9TPegqzPsKsdzDrF8x6BLO+wKwXMPM/zHwOMz/DzLcw86e0 r84PzGe31xjSlw5KtGI+g3nesKx3haOdR0/R5luY8gEenfd7jfnreV1bfePH nqFWJivDTmdOXy8cMez5eMe7vwsHR24JWL79vHDP+R5Hx7a6LLzdblJ8YMYt YT+XuY96XrwrfCDKMPt0hUfCls79pkyb9VjY6Vf/mYvqhAhXsfhmkvmyJ8Jf 9o783tosQjgh5bsJr7ZECpsWpEyrbBUt/NS/c7u4oTHCL+1edXjeLE64/xGr U7cjNJ7YurT3Q88EYa9lfdscn5go7F/O2PxM12ThuqMGnfg1XePOMSZeu6+n Cq/qYGfmNC9N+PeLn7b7+at04axKo46PKNb44231T30XnCk8Mml8yx5rspSO 2xeVXVg/8YqsV6pc/Ftl8W+Vxb9VFv9WWfxbZfFvlcW/VRb/Vln8W2Xxb5XF v1UW/6Y/6emHo2OPKY1vXKo72cvVsPbki4uVBmvrP/48pJJv2rT4cEO7Oxu+ NAxzsapRaeHtuiYaz2/tVXvyi2Bhz9b5PbzvhwgzX1Bfta/Ntrz2fizysCGp M05GPxL+Iab3sqxf7wmnxdy9u6HLfWHWd5j5h/o9GnWdbWp8Q+QWjbybrhh/ TTjzfr+9LSacFo57YNtqgvdZYf5vWf/V57W7yhaP++W9tefvYp9oHHVV/EPW e1VekDExcMGRG8LTyv0Qu++tn5SX9V2VH7RbGmB831+44rnbmTu3BEp5Wc9V +eExgxMHv9D86ZlDcPo411ApL+u3Kv/JZHT8p8bhwmfqxqU1Pxsl5WW9VuVD rjvERtd5Jtw3eUH+j/ExUl7WZ1W+xfLS7G92av566uoSx7Ez4qW8rMeq/FX1 65ldGmjjvfbeVbm9ChKlvKy/qnxyxt2Z9Y9q/u7suHFu0yUp2vhkvVXlD28/ TC/VXpsPMgZty65Y/rmUl/VVlXd1efJ90kVtvAxvund21q8ZUl7WU1XuuvBp ml/vTKVu+fomQztNMfRu8pnfqo+08cN8bzOvWZOr4yMM5fIy3Cf/xdVcK2+8 tSVM2Olm3+hPfgoWPr1z3I/GA54IM36or8aFXfdt2weK/Eniz+YjJjwSnvXJ jI/77LgrnHn6YI8uHR4IM35gxg/1exaYJPiVuSly86FRXiGTrwqnNdvj+WiG p3DSHKOal46eFy4e0LKObYPf3tkPTDFbfzO+XrbiMsA/pr7tDhlv5zdYdl1Q Z9k747tvUGq7tKEXDKynMOspzHoKo3+3wYO4Wq02iz6MPow+fDux1NMxcWeU adcO19z2c44yZqZLQ+NHfsJpeePS5u4KEW7qldUn+vZT4fbnDUOavooTfrhj zauoasnCM52+Prqt5XPhj+0+Gzawd5ZwyO6sZUYncoQbr7ULjbyQJ+y44Hzr 8zcLhK9Pqbty66MXwlXtl0bMjHopPL5vfLsBKa+ET3Xsv6Zx/hvht42OP337 9q0w9pu2aT7so+u5Yj+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2 w9gftPf49gXl8sV+GPth7IexH8Z+GPth7IexH8Z+GPth7IexH8Z+GPth7Iex f235tsGpAwvEfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsd/K 6XT1Mb8Wiv0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD3c8se5I hU+2Kp98HF8wMjJb+dyzyt19LteFkd9cMKXTgwa5yqCau3tcWvpY5GsDm+1q fipcOO7O6D8HZsUIL3Nv5FaqfKKw6arnQy+Ypgr7TvQunmWRIdz698sh1Y5k Cy/e3NAs83Su8IOlq1bcu5IvXGd2athhv0Lh6d8ObrvsyZ/CFwZ7rRodVyRc oUfNKIvM18LDzRaaVysqFub56O3/MSHVyWpSnnCboTPPeB7NF46/nJ33RUaB MM8X/9LXp19vkONvMP4G428w/gbjbzD+BuNvMP4G428w/gbjbzD+BuNvenuZ b2HmH5jxyP6kc+T+aZ5jPGS9htlfzPk8yrxhT2/hX+Ytn2na9ZCB/RjlYdZ7 9lfIYeS0D1cfmlAuevIfSmzb0lN6rM9WyrhusfCreln4yi9hTrYXbgsXfeUQ YEgOEN5X9vW2nRuChLvG3+g5+K99Oxx6bUNGmUuRwvNc7Pb6BEYLrzdscu1S ECscdjLnZfVSCcLNDwyzyaqUJDx/00V3v1opwrcX13/j1jhNuMaM5XbL26UL Txqd+MeY7pnCI90aG9VrnC1c6jf748Ytc4SPbl9r/6JtrrDNRp9SiZ3yhP90 TvcI7JYv7LLIdMTVXgXC/RxtypzsXyicOX3FyX2DXwjvnHBm5Dq7P4WtRiWV XTDypXDC0Fqek8YVCW8cMHC07eRXwh17LS7X8/vXwlFdTnq1nvtG2LldzJi6 C4qFWzWvVsH457fC+BP/P+cB/f70/xofYvyz32a8w4x3mPEOM95hxjvMeIcZ 7zDjHWa8w4x3mPEOM95hxjvMeIeZP2HOT4E+kQ1vv/Q0wA96rvg1+Ja7cHeL ap+5ntTKx0V7B1epkCOcfWiHfc08jXcO6lzDeVCusLtJ7Z1rOucJD7roY1ew WeNRi/eHvFyUL2zU1Grb1BCNq6Q2qDnjaoHwua3XAsNrFwozn8P4h5z31flc 4mPqfAcz38HMd/rzEf4m851a/pPVUX0Wrz4rfOCbUrsejdhn+K+P36jrB/7G 85P13t/tbIKNp8J5tUaFnw/ltzgkLP6UHmQRZZMj+x/qW1k8tmyI40Upf911 wpno4VeFi8fnVh685q7wEt8rkcNTbwrTH/ZP4u875+UPOKb5y6CRw+cP2aHt r2jfZ+GQTrdq+Ut99UyudRg7+pGwT8bamOqOwZo9dWf3r304UJj9GfXVKbLI f3jpichHPLDZ5Lc+TLjwWC3L5YeihC+EFbusDooQZn9Hffbnbw/u8fyZyO9b z8mrOzZGuG7H4AEvHOKEXw7s/2bh8lhh9ofU19/yuN2wTfEin9aoi0ugU4Lw xWr7C08sSxLe1cLkWLs9icLsL6kvsZajUSW3ZJGXL200eN3GFOHhORNdJ+1O E+5UIdQ+2TNVmP0p9Tm/sDxx3fe5yN1i7rxUDqcLFzxsZVPXM1M4KOlAmQN3 M4TZ31JfwyelRy0MzhL5oej+dq/GZgsPDF1YnDIxR/s/JnQY0TJbk7M/lvl5 1OQytQq18tkBx/94Mi1XePftp9/cnJ0nXMF218mPXmty9tcSHxpwb2ReqXyR 97xiYnR6nsYpZ3sdP7ioQPOnXq/KxpbXmP059RV3ae0ZULlQ5L+ccLTftFxj Cze3UovWvBB2bzdutG91jdnfU9+Q5lvKHav9p8if7Q/1cNik8ertxiPst73U /LvBDa9dDTTmfEB9+z8rGLOqSZHIzTZ2K2O9R+Ng55kn2x98JWxt0qyCYyuN OV9QX3q5kd7j27/W/q9FB0c2cNO4sePjspWPvxHeXrz+2yGdNeZ8Qn2Whb7G 3XsUa//X9DKeRZ4aO03oNDrl3FttvGZknmnRR2PmI84zsr6WftnBN1Obn4xu R5y9Gp4n5TnvyHo7e7Fjmw4anzP/tsDctEDKcx5CPibq7WmXBRpPPxjb0W1C oey3mM/Zr7DfYr8Cs1+B2a/A7Fdg9isw+xWY/QpM+6zvtA/TPkz7MO3DtA/T Pkz7+ngk75vYL8LsF2H2izD7RZj9Isx+EWa/CNM+77doH6Z9mPZh2odpH6Z9 mPZh2ud9Gu3DtA/TPkz7MO3DtA/THu/raA+mPZj2YNqDaQ+mPZj2eB9IezDt wbQH0x5MezDtwbTH+0bag2kPpj2Y9mDag+V8o76/lPONynK+UVnONyrL+UZl Od+oTP28D6V+mPph6oepH6Y+3qdSH0x9MPXB6PP+FX0YfZjyvJ+lPIxcn8/F eYLzJoyc8wX7Cc4L7Id5f81+FkbO+072m8jZL8Ls9yQfTN2vwey3YPZLMONb 3z7vT2Hej6KPHH0YOeXR530pzPtQmPed9Fcv5/2mPB/1/SX26uW8r+T5UF6e v/p+kudJeeS8j5Tnr5bHf2DK8z6S/xN9zn+cdzi/SfxV9ReJz6rlOY/gXzD+ xHoI69cn/f+pX6+Qiz0qM55gxifM+IeZz/TtsV7AzOf4B4yc+Rc5jJz5EmZ+ w19gOW+q8xPM/AIzX8DMB/gDjJz5ANbng+r/X+YD4nfkFxLvI1+P+CL5a8Qj yUcj3zLHtv+tlDm5Ev8jP5N4Jfls5GPu3L/K7VSANh99ZWyc2LB6nuiTT0X8 lHw0/AemvD5/FHvJ9+yedGPVfLMcqY/6icfCxGNh4rEw9sPYB/O8YOKxMPFY mHgsTDwWJh4L8//AxGNh/k+Y853Eg1RmPOLPzOfMlzDPl3xWznfUB1Mf5zXk MHLOX8hh5JynkMPIOR8hh5Fz3kEOI+f5kB/L+GT+Z76Aeb7kw8LkwzK/sz4w /8D8f+Szkq9MvJjxAzM+YPwXZrzo4+36/TfzO/5N/ifM/MB6gJz6mc/pL+Mb Zv/AeoCc5yn7R94fqPnAEq9R5z/8nXxd1kPWS5j5kfFDfi7zIesnzPzJeCQf V/Yz6voIM38y/smfZX2hP4xX8olZj2if8U6+sKxnanvMJ8yf5Jvzf46e3+cj 06+09ZP/k3gn9cGsjzD9gek/jH/C+DvM+Ic5z8KcZ2HOszDnWZjzLMx5FuY8 C3OelfzYO1X2D62UJevxbsc2S24dzXjnfGR5t0ffqCoRSg3HgeHtT6S+c96w P2JTob+inRey0x1bh/6eIP/fT8cTvb/dkKycGXT2hnIv/J39+ZQ5Aettl6Ur JeXrprj2TTnV+56sr43SC1db1MpShntXaVTzzX1l6u4133bukqb4ebu0fdgt Suly2b95xJVIpWzuGssNFilKhU6X0+I3BSlNis59UviXfzxb1mVXn413DKt7 d7cKnJSj/LTuu41lhoUY2m3vsj38h1zFZ0C/9amjspWiwxtfmDT0Mvi4L71y bkK20u+TyfbRVY8YTs41clUmZSuXS3dyv1ljozJh4dYdEWOzFbeN8St9orR8 4X82nziuS+8Bk6z+an/eJsfdtuf+5fxi/K/K1Id9Zq7zU3akD244fJe2fy8p //haeplu5lnpis3N9fa154UooyMPNG60JF050K3Ug4Ne/3p+ss+CzoNCA9Nk ///Y8or7pNMpyhP/Zk18pmvl/9n85YqmHa3uHtLOCyXlM9fZUnnJzTlxij5f 8h/lN8c9mBgTfuqpnCcsLCq5TPcOVYxS7z3yW6KV/0f5z8w3r08kbfqxUZpi 2r13C2dP7bxRUn50QPSME8Z37sn6lNSrTL8X/Y7J+eS0T6Jns9WPDPOLbmS/ StfOrwl+5w17uuUqs0ZOvzVxWKCsT6xX4xc4jA+qnaeEBceaZ03RzhucP4gP 6vOxdw9fFjbla239fN/8bPZP62J++Hbe4eAS87VZH1eecj3fZ7OWL/uP8rfd t0/Nf/xpgqx/rJ81KttZTSvzbn73GI9Xj7/wipH1j/WzZX0bX/8v3s3/Zr2M iK92+GX0u/ng5p3PdNo98bGsj5w3r1SJGTZpxLv54mtLVe1oPO7qO/uLMl3H Ot3cnyHnjzr53srOuznK9QoTnMb0CHtnP3HxwLHOFT1yFbsbH0/fMS1N2Xy/ 5Y42AZFKokuU6R/jE5Xjx+saoi/EKQt221Y9ejVWmVHZfWTKhkRlfNf9q/3s o5R56RGB9T9KUaICJ9Wb2ClIGW3k3zEnLE0JPOLycNnLW8qDuVWn7G6RoSTk d0oIdQsxOPdZ92zRolylwptns7dZ54i/FHUPSFpqorHp1wv3zrbPVgY0b+27 3fKY4rzh/JvU5Cylhu+p4VWibig9OvS7d8orS1mQPclji3JbGfap84I2rs+V iHGfOh98HqY4F9l+0bdGstKvm9vVWz1ilfgtXgv274lX1lyyWJbVLEGptdt+ l9mpaGVkx+/aJiUmKVbdZt11dQlQWifPan3qxXPFYUNTh1hbH2Xw9/MnthqW qTyobjnV3DzCkF7+yuylhblKpdf9W6dZa+cp2777u2011vx/UL1nK2tP9FKm hftbL0vRzlM/PKtevdmpTKVjHSfrMOPzcr667hT8yPM77XwVc8iib+pk7Xy2 9tpmsxpTMyWect9ubG7LWn+N+6C3MS2DHiv10++E+WRmKD951l7TYnygnE+t yxzynXkhSzljfq159HBfQ96ikZkdIrT1tG3fke022+YoP3+/dIXPz75ynjsz 1nXn9nFavMonvZJ9PbtspXigcaf4qmcN+0Psl3z1v+8NLX+ofM98r8Sz2E/o 72d8ZJu967PzHvJ8GtqEzXOv4f7OfMH9B/yZ+tYf+jiz9bRLWnnXz5ZO8bmi +c8vdfe4bLwjvOKXHTZlE24p/+z9AcYf7V/5qsmxudUDpD6LQcdzK/s+FL6w sr775YIg4SUrI5bPbqgx45/66k081KZp11CR209MtHWqHCac3+vE25ZNooR9 ek2PjLKJFGa+kXyWz83XbnOIFvmAzZZP5pjGCO9ZesBsUMs44UVvF9dp8td4 lvf/6nxHffcyY+YYPYgXefKs0s7NLBKEO387Jbx07yTh2s+s70SGJmrjV51/ qW+q/9H65+OTRb5qsF/bZ4NThEO6t1l9cWSa8HnfSk5bs1KFmf+p7yOPOX4z Xz0XeSOzrVHbJ6cLO9YtNJ8zN1N42L7gzweU15jzOfW5dDTaOrNmrsg986vU XT5Q4xHpvW/PsskT/tLMvMfouhqf2zlvSu922XKeb+m3avCgvtnKysttM60/ OqOs3TX7a7s62UrU70eeegQalNzx5X5rVD9bsfyu2VR3M4Oc9+lPdqNJKV82 zJf6jRKc5o6x1/hopHu9gWMKhHfX3bnNopnGxAOoz6r6XavGrQtFPiQo7E7n CRoX+lV0bOLwQjipYlFq1Q4aEz+gvl9Km+142+VPkR+43t20+iyN+/nMumfk 9FIbL0Vje2ZYaUy8gfqicn59HmFdJPJ0LxenzIUab/8jsEHU0lfCK1Ov7bw7 UGPiE9RnFpvX65zNa5F3/73s/XurNE7YbTH//IY3wsFhTTJc7TUmnkF9ix8N 371lTLHI1292aOi2RWPztXsfbN31Vrjx3XV9lk7Q+N99H2mfUbv751ZnKd0S 9qyv9OaOcrmm29yTBZlKpP9Bj3qN/BXj2ptq5v6WqZz0DlzwIvrhe99fWnzc ynXco3SJ10wbkG3y5eB05e7BgE6zOv377zf13OTW7s+ZKVr8J/dq22N1kpWo 79dcqdolVhnqF5zVNylZ+ehZqP/ERR/uQ+nvQ22yqxXqf81FORH0WxOHn7L+ 4+5DEX+T+fsr611OZbPl/ULevthg62fa+1Tih9YzvV7/uDxUWWRWbPJVTe19 5YHhY2ZX33lNWXi0/ORaV7V4XXOTPztZNstUbtZoV2Vrg1sSr/MsM7hmteuh htMWU4enntHicynf70lR4nOVcVNTSk1fm6Fc+biVR/EfQUrpz5tlNM1JU8Yn 5owq3hWhOC89fH/cj6lKrftflKoW+lSJbrfQs2mPJOXFw6Adr1/HKmOjNz0d cipOqR8z1N06MkGp0PSbfeE+T5XJplViHH5NVvY2t2583jdcWb7MJfV2ZIoy qmyn5NO2fkrYk6/CVmxJV6weHPM98+UDg1WZJVXa/JGjVPW8HL15aYJy7OA3 ySlz45X29iHGrQJiFJvGN861skxSLA2LPM1+eKx023Y9r++Y5yXeL2P/SryM eA3MeRUm3gMTD4KJF8HEl2DiE/r4HOdN2odpH6Z9mPZh2odpH6Z9mPgc51fi czDxOZj4HEx8DiY+BxOfg4nPwbSPv9M+TPsw7cO0D9M+TPsw7evzPzif0x+Y /sD0B6Y/MP2B6Q9Mf2D6A9Mf4gP0B6Y/MP2B6Q9Mf2D6A9MfmP7A9If5h/7A 9AemPzD9gekPTH9g+gPTH31+CfEQ+gfTP5j+wfQPpn8w/YPpH0z/YPoHSz68 Oh9LPrzKkg+vsuTDqyz58CpLPrzKkg+vsuTDqyz58CpLPrwuv4V4EP2F6S9M f2H6C9NfmP7C9BemvzD9hemvPn+GeBT9h+k/TP9h+g/Tf5j+w/Qfpv8w/Yfp P0z/9fk7xMuwB8YeGHtg7IGxB8YeGHtg7IGxB8YeGHtg7NHnFxHPwz4Y+2Ds g7EPxj4Y+2Dsg7EPxj4Y+2Dsg7EPxj59fhTxR+yFsRfGXhh7YeyFsRfGXhh7 YeyFsRfGXhh7YeyFsRdm/8H9eeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7 YeyHsR/Gfv33yXjfxv0pff4b8WXKw5SH2d9z3wZ9GH0YfRh97uegD6MPow+j z30h9GH0YfT193GJj/L+Q75Ho8aXYOTEh4j3ICdeAxNvgYmXwMQ7YOIVMP+f vn19fh7neZjzO/4IE8/T5+dxvsafYeKJnKfxf5j4Jednxgss+Y3qeZl4LOdh xh9MvJjzL+MV5j6TPj+L91v8v/r8O/Lv8Rf9/WLOJ7D+vKB//vrzA3LGL8z4 hRm/MOMXZvzq22P/zv/L/lDu3/B9R/X/Yj/B/8P6zPNn/ud5Mz9iv/57hYx3 8k/I5yC/hPwN8kE4b5M/xvfQuN/K+xDiAXy/T+7Lqvkv5AOR70I+Cfks5I+Q r0K+CPkoxAP032cjv43zP+9/5Ht8uvup+vv6PB/+H+yBifcx/8PkU/F9Qf5P 5h/Kwzwf7l/D3L+mP5SH5f61+n/L/WuVkTM+kcPI8R+5360ycvwNOYwc/0QO 6/PpYO478zy576z3F74Pyf1n5Nx/hrn/DHP/Geb+M8z9Z5j7zzD3n2HuP8Pc f4a5/wxz/1nvL5yHsY/8Upj5nvGg/76jfv6T+4+q/5I/CpN/hj/I9wdVxr/x B+SwzA+qP8j3DVVGjj8gh5HjD8hh5PgHclg//pDD8n0kdf2WeKrKyFm/kcPI Wc+Rw8hZ35HDyFnvkcPIWf+Rw8jZDyCH9d+HZD3j/5f7Zur/rZ/f3A1+ZUef zRN97puhL/fP1PJG8zc23j5c49FmQ6z9X+aLPvfP0Jf7aHyfNM5kUrn9GlfZ 89hZsdLuo7Efw9+ZD2DWP8nfVdc/xoM+P5z1hv6xvyV/kPmf9uU+ucpyn1xl uU+uMvtP/I39F/M3zHxPPiz+y/6L/RlM/if5r3IfRN0/ST6/yuRrki/Ofpfx Tz4s45/nST4v45n9Fyz5K+r+Cn+CeT60T34m7TG/8D1gnjf/B8zzI/5G//TP i3gT/7/++XBeZz+gfx70n/7JeFDnA+ZX9nsw+xXmY9rjefF/wDwP9h/os79B n+dLf+X7s2p/JL9BZfyf9ZH69N/L+JAP+/87H5b/4+iTzqO6ncp8J/9Vvteu vn+jPO9v/tu+Z/Lvzgcu6Xsp/2q+sD7ft6R83ZLycUvKp9Xnw+rzXUvKZy0p X7WkfNSSvi+jz19bPar3CJsJlww/9dx8uDgw+5181pK+R1NSvmtJ36vR58P+ 3d+vYX6W7xvp8utKyr/V59vq82f1+bEl5b+WlO+qz28tKZ91o0O3Hqu/fTd/ 1bL98kth+7XvIbNfxX7mM33+oj7fVf+9n5LyX9/3e0D/7nxZfb6GPn+2pHzK /7T82vf9/s/75uP6hjuvWd7sN8ln0OfbyvebdPGav+v7Qvp8XtojXvTe+b3v +f2p983n/bvzbz/k037Ip/2QT/shn/bvyqd933zXkvJX3ze/lHiEt/+4MuPC s5VJRQUza1fxNtSef2FOzrYP35P78D25D9+T+/A9uQ/fk/tH35P7u/O5qT9m qc2LaZW0969iv3w/fcm8kReyFM/n218Vtlkr8X6rWw2iS4VdN9S6GmEe3CBH cfqt5ZyrS7R8AeL/DlOKw20/zfl/nw+uv3+ozw+X7+MeH+2zssDR8L754vr8 +f8BxbHClw== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwBvQJC/SFib1JiAgAAAOQAAAADAAAAPjk1aWssQDo2FhESQzs4BwIDCgUG RUQECwYHDgkKDwoLTUwMEg0OEw4PUVAQSUgIBgECKS4tFxITGxYXWVgYVVQU HhkaXVwcIx4fYWAgJiEiZWQkGhUWKiUmbWwsKyYnLikqLyoraWgoIh0edC4y GR4dNzUBOTYCOjgDAQYFAgcGRAcDBQoJBgsKSAsHCQ4NCg8OTA8LDRIRDhMS UBMPERYVEhcWVBcTFhsacXAwWBsXGh8eXB8bFRoZHSIhHiMiYCMfIicmZCcj di8zJSopaCsnISYlJisqHxobKi8uJyIjNTkCcDMvUlEQREUIATUCNjoDQT03 ODsEB0QIUFEUNz01OT82OkI4BEQDdjIuAzgEAjYDRkUEekoISUsMCEgHRUcI C0gME1AUDEwLD0wQEFAPOzwETE0QIGAfTk0MTU8QeUYEe04MfFIQYWMkJ2Qo FFQTF1QYXl0cVFUYfVYUGFgXG1gcWFkcWlkYdDEtfloYVVcYWVscH1wgXF0g HFwbgmooVlUUf14cYGEkYmEgXV8ggGIgJGQjZGUoZmUkgWYkZWcoI2AkKGgn UVMUK2gsbC8ramkoaGksSkkILGwrL2wwldBTb4Qwa4Msk81PkcpLj8dHcHgz R3oIjbM8Z4IoY4EkS3sMT3wQ9PZ49Yoz6et174kybW8w7vB3X4AgPHkEU30U W38cV34YeHA0MHAvg24sndxji/c0m9lfpehzmdZbo+Vvn99n+PR48u537el1 oeJr56Ryl9NXdXQybG0wbm0sdncycHE0LnQtcnEwcXM0dHUxL3Yud3YzhHIw 6vMxSEkM25xi1Zha0pZWiewytrc95KJuubg+4aBqvr1AwcJCxo5GzJJOyZBK u7w/6Ppz+bQ0tIs03p5mivEzz5RS/IyFxMND2Jpe+/yFxVHOpQ== "]], Polygon[{{184, 134, 57, 62}, {209, 151, 87, 85}, {212, 153, 91, 89}, {189, 135, 58, 64}, {156, 218, 97, 98}, {164, 230, 113, 114}, {158, 221, 101, 102}, {160, 224, 105, 106}, {162, 227, 109, 110}, {171, 210, 86, 125}, {167, 198, 70, 121}, { 186, 190, 64, 54}, {148, 206, 81, 82}, {146, 203, 77, 78}, { 144, 200, 73, 74}, {142, 197, 69, 70}, {200, 145, 75, 73}, { 206, 149, 83, 81}, {140, 166, 59, 133}, {195, 136, 59, 67}, { 181, 185, 62, 53}, {150, 209, 85, 86}, {172, 213, 90, 126}, { 218, 157, 99, 97}, {170, 207, 82, 124}, {169, 204, 78, 123}, {168, 201, 74, 122}, {192, 196, 67, 56}, {152, 212, 89, 90}, {154, 215, 93, 94}, {179, 167, 121, 60}, {166, 141, 60, 59}, {197, 143, 71, 69}, {229, 178, 132, 111}, {226, 177, 131, 107}, {176, 225, 106, 130}, {174, 219, 98, 128}, {203, 147, 79, 77}, {241, 242, 119, 51}, {246, 245, 51, 120}, {136, 251, 133, 59}, {240, 239, 50, 119}, {247, 248, 120, 52}, { 235, 234, 49, 117}, {223, 176, 130, 103}, {250, 249, 52, 115}, {227, 163, 111, 109}, {236, 237, 117, 50}, {230, 165, 115, 113}, {220, 175, 129, 99}, {202, 169, 123, 75}, {205, 170, 124, 79}, {183, 181, 53, 61}, {177, 228, 110, 131}, { 191, 182, 61, 65}, {178, 231, 114, 132}, {199, 168, 122, 71}, {175, 222, 102, 129}, {194, 192, 56, 66}, {215, 155, 95, 93}, {173, 216, 94, 127}, {188, 186, 54, 63}, {208, 171, 125, 83}, {214, 173, 127, 91}, {134, 187, 63, 57}, {217, 174, 128, 95}, {224, 161, 107, 105}, {221, 159, 103, 101}, {211, 172, 126, 87}, {135, 193, 66, 58}}]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl/dzV0UUxb/7IKEngRBaIEAgEFoIgdBCEEGkKKCgIjYkIoJIQMSGCqiI vfeGimXUf8He+9h7b2Mfy1jGhp4z9/Mm/HDmvrdvd++5d+/Z3Te4Zf3i1qxQ KNSmQqGd7NGypwilwnbhP7W1kz1H2K3nTPZw4UShs3Alz27bKmwRCsLlwgbh MOF8Ya1wsHChsE44RLha2CgcIfQSioRi4U5hs7BSuF7YJBwl3CicLCwXboan +V4qrBeWCdcKJwlHCncIpwvHCLcKpworhKX4qhBuE04TWoSLhVbhUGGsUCUM FHrDq4NQSdxdhP7YrkK10F3oIQwVyoWeQj+hE2MG0LebMIS+5fhxWwn+Ssh/ HWP8vQ/+Owpj8O1vw8mdOdZi3bcvfe17NLw9Zhhxe8yIPfoeR3uNMJI2cx+F 9fjBQhlx1sN1kHCAsJcwQxhPLhxfA2P83sS8nm81fhqFSXByHBMY5/xNIR5z nEh/95tKm+eaxnyOb1/mc99m2pyn6dg6ONaxtpPxaR97E884YSbW3GdhHdM+ WHNcg6/Z9B1EnHPw75jm4cNxzMea+35Y52N/rONYDA/7X4K1/0XEYO4L6Ov4 DiTfHrOQNveznlz7rsuDmMPcrUVr1PVgXVvH1rP1an1b59aodWltzCUOx2Dt J+HfQujMmnZtWcfWirXhPcA6dp1bQ9ZiB3LjWnbdWJfWsTVwt7BKODaFjlfQ byxxOV7rtYWx5u06dF1ar9Z0d3i4zXVsrXvPsK42M3c5nCoZ7xp3HdXQz/VW DSfryRqxFqt4zzVZRTz20zu16b8SHtXUQCkxD8T3UHyU8X0Q+e2V2nQ4HE7F zN2LmFzjI/Dheh6FzzG8u3ansEb27/psSG26HUkMdYyxb9drrt168p1rYzpc JzCX53C9NcHRfibhu5lvfeCY7z21e8TjvhP5PhWuNbQ1wq+Jb7lWm8mb164n HF3jM8jtCnKZ63NmatPnLOb1XjA7tWnMmjsjxb5fQRzW51y4zGFMrs/5cJ/L t1zD84h5AfOekOJMK4KfNZnvhbbWrs8rn1ElxLaQ8Y5pMWPM21rNdb+Eb57X eiwmN4sYP4N1q+ebNZifDdZmJ2C9dwbWZhfg/cH17rq1jnqAleS+BM6l9LNm u5H3Fsb5fTl97XsZ/r1uq1i7TfRx37NS7Pten+NT7KGzyd9aYs33X+fmzBRn Ug3xteJnKXkvwud6/DpP68iHc7CBHFhzDcztHGwkB1WprfabdAF6EY4vCw8I 2zxW7dXCTj0PlK3K4h7xvfAcPLy+N5Ev72/XkS/zugwu3t9uSVG73rtuJ+/O zw3kyLyuYW2Gyc/wLPoNlR2SxT2lv+yALOYaIVubxR1nquxT5HSUnkcLu/T8 jDAti3w7Ht/PfDfrrbY+WfCukO2Zxd3qPuHdFOdBP7X1zeKe1UO2PAuuZbKl WdzLnhWa9XyP7L3CGynOFef+ihT19zT8zM1nxFWsg/fqXdTcata7Bn4+k3we LSe/JeR0E7U0WfO9wJg1rFsj43bA32fcefDZQuztadtOn3NTnG0Z1u8J3+7j 89Fr5nOojDUzb2ulhbW0Ft4T3mJunzt3pdDBDnzbr2vzohS1/KbwKv7OTpE/ 93lQeIU2+zYnn7nWgfevCvJlH9bpJ8IH+LGGLkihA2vlkhT6MPed8HXNfpmi bhuVw+eZ1/YHnh3HO8TyknA/3B4Vvkuhv7dZb+etneZpn8W6via8Tw69PhOz WKOvhK/h963wTYr/AHP/CP7Ox+v5GviHJIt/i2LZoiz+FczlY/hMUNtjKXLz h/B7iv+AP4W/UmjvH+HvFP8inwkPpdhvfhF+TnHf/1X4jXx11JydstDhJNkn UtTmj8JPrJ9z8Ah52O1aSVHrD+PD829lDc2zi+bpnMV/STfZkiz2iHrZcVnU ynjZhizuRE/i234fJ07H6P1pSha1/oXweYr/Ku8X3ne6Et+ncKhT3zFZ/Et9 mELbrvn/ASexHqY= "]], Polygon[CompressedData[" 1:eJwt1NVvVUEQwOGz04u7a4FCcYdAIMA/0QQo0gItULQt7gFCcNfiUPQBdw0O 4QUJEiTBghPcvf1NZh6+7O7du2fP7sychLSspEyJoigJMZRicCBE0UjkoBXj 47T9sRVFGe+nHYHlKM/4IO0orEIBxvtoh2MpTuAqJmMKGjHfDJvp98Uf7EE2 FqIpc8doxwf7zwu8wWx0QR3mj9COxQY0YHyUdhxyUZdxQ7F+OqrQP0Q7GmtQ iHExsXdPwVPswGDMxGvsxFDfszj/LS12F6nYjmt+lghlmKsgdvZe+I7dyMJ8 VGSuqtjevfEFP3yuG4S5gmJ31ROfsAuZmItqzNXEOvp9dE/6e2mHYTH+IYj1 e6AG/cO0Y4KteYJnfrbOeI/P/uxk/MRfv/vuqMX6RLG7TUMTsZhprDbhHc6g KyZ4bE9iqsf4IR4gDjNwF3f0nJiOW7iNaf7bTdzQM/hvp/EWQ3yPe7jva/WZ rzwnNBdmeexeel9j+AiPfe8YPvqZ9axzkOd3pne1CN88JhqLeX73X72vMfjt d6R3syBYrv73tdmeKx/82ZozRcRyTHNrmefCL1+rORETi7nGekmwWMaJ9TWm WjuFxdZqDZ1FG7G7zghWGy0YbwlWIxrrBMbrPebxYjmjubI2WG1WYrw6WI1q 7ZZgvCJYDdcWi7nGWp/Rkf4l2oEYFKx2qos9S2uoPf0LtAMwCW0Zn/N3m4j6 YjWotbcR5cRqRGtjZbBvS1mxvn5jzqOd2Fp9ptZyY7Fc05puSb85+gU780V0 ENtb37GkWI1qbeqZruMytgXLycpiNai1p3eg3456Yu+m35BO9K94ruia5zgV rFY0B3Xv1mLfPn2HfEbGpWs= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHec18URPXYW7GClKoqIoOmxJ0qNCNLkIHTUO8CTdoCIBwE8A0o7TiyI EhSDYEPQeDkVsSAYDKIGNSLYY2JMrAgqFhDzXt67z/nH+8x+t8zuzryZ2d+v RfG4wtJUUFCwrU5BQUAengsKZqDxFDqvB9oCnYEvgPZAF+BboBPQDdgNdAC6 Al8DHYHzgVbQcSIwG+0dQDvgPKAEuAi4GNgL/AboDrwHPAbcBPwXeAK4GfgU WAL8AdgHnAv0AD4G1gGLgX8Aa4AbgA+BJ4FbgH8Ca4EbgYVAT6AfMBwYDAwB BgIXAL2BQZaFHqfs43mUfYFdwE7gt8Ct1neh78R2f9+NcgBQZMl9ii25zzDL wZ7Ls/UCbgeWAkOB26x7BHDJD/YZ4Lk89/vA48CiJJ8t9Dku9Tm4/9gf6Bhn H3A8wT91gNFoj3ffSGCC5aiksWG2Wal1lHi8yHe6AxgDTATKvAf1LXffFGAa MAm4Arjc83muqf6eZIz1Pr/zWo5N9zrqrofz1gUmo70SmANUAFd5H677vSV1 XwOUe3yG+3iWu9x/te9Z7Hu2hO6moT0PgNwC+SAwyzqo+x6v495z3eY+8yw5 l/w/JrRna8jjQnPvB1Z7bn30rfL57/T5y33XUtvxIMx5G7LK/dN9fsYj44lx xRhkXDI+GYOMRcYk45SxyJhkrDFeGbeMI8YcY49xw/gg/xgrjD9yi7FITpFj 5BdjkbHBuGRsFXoeuUj+MhYZo4yRt4BXk+K2p8f7WddAr2GMMnb7pNrY4xg5 Sx6WpNrYY4zsdLuvdTEOLky18VYTF0X+rom3olQbb8XWNdzfS90eYl3k9gjr KvH3H5NiYLh1jfT5qGuUv4d5zqhUmzsGWRf5PMa6Sv1dYt+WWtd4f9fE3niv IfcneqzM/uf6SR5j7E7wvsyxzNNtvX6y13A9Y2GK10z1N3VM83epdbOvrrlf 5jXkfHmqjSt+r7D+CV4/w2NNzXfqPSEUS3ejfV8S32tiiJJxwpgg9xlHjJVZ 1sN4muv+mrjiN+sJ4+petB8CqoEFQJtQjDGuyDfymdw8An2Hh+b9OSmOrwUa hGLvT0nxXWU95d6P+z+aVE+o75GkWkj7cu9Wvudk25p2WGZ/02/kKGOBNeLp pDw+wn1L3L8+qX6Qd41tp+nmD+Orj7HY+trZx/QvY5TxyXh6GfirffISsCGJ 188l5Sna8Nmk/FLucXKafB7queT/5qScyLs/k5TTyZ1mtvcM26jaNvw78Lx9 +7ekPFZpX622v7Yl5Tv2MT98Yhs0D62jv1vYDxXW+6D3eQd40b7Zbn8vsE/W 2C/0ycO2yQtJ9aDC/l9rDhwM/fuH/L/QfuXajfYZ/bUpqVaR78x5zHe9bZsN ttUy+3KE/bnevlvlvStshzeAB+y3dfbdGx6rtF03et/ltvVE+2qz7X+fbTvP 9tjiu6+0X+fYn5t8ZvrzL0k5aIX5QG4yZzNfF9oe/0q13Pm370o+MleTk2/6 rJX22yv25fP2Jc9DbjJ3k5sNQ/tNsK+2+5zMIY2dR/ieecm2rPK8Bdbxke30 tv1dZT9vTeIZz/6B96TP37VvX0+qMUvsq//4rr18P8bFZ0nxwhrJPNnQuZJc Zy0ZarnL7c/dph0OCX2zvSepjnbz9077lLWWNZhx+aXbXSy/9L6sy1+5/5uk 2sx6zLrLetzJuve4v+ab9bqD19fUdK7van273aaf9/NbiP4Pv+X4Rt7nfb53 u4clv1n7yWs++Mmd3rZfoc/1ne872rYbZV+zfZn7ktuU2e3GfptdmXQmtsus b6/35Xnr+cxhPaM9t57XdvSdaQPGLeO3Jg4ODPGEOaO+68dhoZzOPuZ75v3r kvoODfG52mPMMau8ttKygds7zBvm+aOsh+samT+8YxNzm+ds5rfizKS5R3pf 8p79rINbrava9mniXM/xZq4jR7tNPRxr6djhGOsia2Jzvyf5e4q5lbWzpm42 d+2kPNa59VXzmJw91nNm24+NHLct/C6dj/bxoe/57j/e9mzqOj7Te7awzdl3 gvsZb4vMo2Nco2fbPke7frDW8fcJ326sM6xJrEdfY/zbEK/PxG/Pm0K5sjvk spD9htLOWTm4iHfMyqOL0O6W5ePzgdtDOWsk5I+y9hnGu2Tl2hK022TlztMg bwjl7l+ifV0ot14J+WSo5o+D/EVW3u0E2THrPb4E6BKqve3R1yGLlzfS9rbh VZBPh+rNYsieWfwYA/w0K9+3gmydxfsTIbtm8WoI5KPoOwm4n1wAXkP/4Kwx 9t8DtDMPZ9MvWbXkbLR7ZeWDufRRVp04D/Juc5hvpTY+52p/k1NnYM4VofpV TT2hXNuZNgvlSf438FzIlw9Anps1py3avbNyUkfyLqtuVDF2Q7WlM2T/rBrA s5zj87RF3zlZv7d+DXl2VsxPBE7NilfabHTIbmsgy3xOcuHiEB/GQt5mvtFv pSHfjYK8tSbuaMMQl6j7spB+8uXSEGfIl+IQZ8iXS0Kc+Qry81B+/xTyw1C+ qIM534Vy9EOQD4fy6t4Qv8ntepiTsnL9RYzHrLx5KOTBWXn5IMj9svIlx7t4 Dm12S8huj0P2CL19eKf5vtdhmNMvFGeN0W6Sld8Zs63ta9pmge3zK8gGWXWB tqTvac+zsuzL9l2Qg0M1/FnIPqE31JGYMyD0DiLXrgnxjf6fE+LAlJAu6lmO drljiry4PsSNp8iZ0JtuEuTloXdHI8wZ5H2XQnYNvTevhmyY9Q67AO0VoTw3 i3km611Fn3xsv3wEeUoon/8Y4/NCeecF5pjQe2gm5BFZ77m+oXvyjhshnwm9 OTbxTqH/kybTt6Hc+DOsqwy92+j/782BniE/0UeFoXvyjhsg14f+r3oMcm3o 7XMq5CehN8PmUO5g3jgu62681xOQJ4feu9Mgp4beShX0ZygP9w/xgBxomZUX mBMOQfusUP1tlmVH2nAf5Omht8RJWfmCuWJgyMf0L7lZ3/x8JJRf6OudobzA nEDOHmDefsbYD72fToPcHXr/BMbPCL1z6JM77Jf90X9m6L3B+MiOkRfRtyX0 vyA5ss423AG5K/RW2wa5PfT+e5kcCb1reac9vtc3oXPwDFshXwn9Z0Z7HJhl k2vRXhmqWczfnRwv7OvgfsYBeUlOsm6cklU7WK9Oz6pZrCE/z6oj3SFvDr1N XgdeC/2v+SbkW6F37VFZ/CP3PuB46P9O+rO9ffoueRd6K79DvoT+42StYA1g /v9/TgrlJXL85Cyev0/bhH530cZ1s+z8Hrkf+g+V/P1JFoe/CHGRPKSvCrL8 9T/n68xc "]], Polygon[CompressedData[" 1:eJwtlnnwV1MYxn/Oe9AiRZJGJiVLtsIwRqS9H4WmSEWW7FvZxzYZYwwzilLS Ymm3VRJFRQkpKa1aqJS0WLJETEI+j+f88fm+z3vvufee8y7nfBv27tulT6qo qBgIGU7jp29UVLzGxcUwB/0hbEQ/A0+jezDmGOyr+M9hz8eviT0IRsAF+LWx dWAZfAFbGTsUPkYvgG/Qg2EV+kvYrnfBGTx7F/5E9OcwBN2Ta8dhJ+FvwX4H P6FHwFfor+F79DDYiP4WfkQPh0XopbqGfhbu1nxhJXoydEA31xrRy2Atuim8 nzyn8egJ8BK6F4xBj4V30O1hCvp+eENzgVOltSb0SHgL3RlWodfDeejWsAi9 Aiaip8I69ABYgj4JZiXPeRj6AViDXgqD0HfA6uR3TEJPhrXogfAgupNijp4G K9Enw3vJOTiHWLbFX4Kuin0zvAbNXXPoGY6JYqE169sPhd+lOcxHnwgzk3P4 CPoX+A1dA1sJLWA+/nK9I5xD5U4xb4PuxhwaYfvjb8A2g9nJORyl+WfX0hT8 udgT4N3kGmzHvX4l/orxZvQpMCc55xeFY76+3L9R8+WZT9ETYDb+hTAo+R0r So2qNrck536daiy5BtaHa0y1pWvKzfLwWOVIc98EPySvQbFZDJtTiVG4JlWL GtOaubTD34Curl5RrcH05DnNRHdUTSePWRPuEfXGNqjH89PwR6lptZbsGlDu D8GOLj1Yp9SAevUp9OPJPataWB1+l2pCvTo8/Kx6tmN2TaoWa2Evh8O59hH+ 6OReOSz72+oZ9f7Q8FjtAdvCPare3AGfhHtevb5JPR3uSfWiYrRDvawaUi/C TvSv4V7bmbwp7QO79S3oxr2D8T9APw+78H8PP7sL9qD/hj/Va7AX/W9Y6x1/ 6F54bCX8hd4d1nqmJu+uBXsVG8joyP72Huiu2OLPRb8A01WLWmNyTrqiF8IM 9JDk2p0XXrtqWLW6NRyb/2tWtRPeSxSDqry7CnRE/wMHomtAp+Q5VUNXz76n a/ui98uem57RXjm49Jb2TNXaZVxrUmquO/pJ9KPoxqUX7yu91qjsLfeE90bt MeeiuzCmHrYf/rXYkeHeHqf9BN2Z+3Wxd+K3wl6M36DUXEtsV/z65Zu3Y18M 732v6/3ca5PdC1Pxr8AegZ+wAdfB0Vojdn9ojL4GO5axC6Ah/tX4Y1RrUBv/ 0nBtKEefaT7hXKhmHka/Hd4b1P+HMr5HOJeq8fr4vcK1Pk/9jn9TeO9YCMfj 34A/PnlPaYZ/K/4r+hb0D8dYsX0Z/yx0i1z2Wn1D8QyfpaqR7eEzQ2eFzrQZ 6FklV8rZEyUGWrv21OuxTbLXrjkcq7M4OzeKUW84KjsWitG48B6tvVlnkHJx W/jsrl9ypZwoFw1KLpVj5bZuyf3NZS2qgcfCOYpS88rVlegczlklfofsWtC1 s7NjoLVXUY3A6dn/LXTG34t/ZvZZrzO0Lbp59tgDoFV2jag2qoXPrpbZWmfY Vdgjs3OlGrgFv2l2rpSTPopvdm70n+YS/J/De4vOLO217cNnq/bc/wCROzxE "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnXcllUShj/kPfMa2A322mJjYffqqrvqmqvuKvZaGIhggIWNIKKIYqBg IFIiiIJYSIeIYNeiYmOCintfzv38Pv4Y5jwnZuacMzP3nJdv/VPOP+K8JRoa Ghbqn6biH0ZDw7uia0pDw/Gik2oNDaeLTlL7P+Jniv6r9vailUTLiU5U32mi c9VuJVpZtJdk7F4XsU50ssbPEu2v9jai5UWnQOo7G7lqbydaQXSC6N/qO0N0 jNpHi05V+3zxHUSriDrq+0LRRZC+dxKtJlpRdK76LoHUXkO0umiKqJ36rhJ1 ELX1+rbq31G0quhSfZ+HHtHlln2x6DLRBV7T3uN8v1lyPnJPVbsNZyOaqfZU 0ZqiTh5H9rXWje1HauxK8S6i2zx2nega62PeMM0ZKmouutq6GbuhlmvZyy21 HGPdje5D563uq+R29J6GlNR5u+geUVe3e5t3E/UQ3SS6WXSH5fJ9n6i7+7rb DsY6e3/tvb6Lx+60DGy812OsW182rCd6Ru0WJW3oJerpudh+lzln08c6sesB y2Xua6JnRaNEz0jOcNHaoqdLyusresT7ZH8Peh2y19Gch8SfFD1s/cx7wjqY +5h13y963Jyx/t4P59HPsvkeWEuZ6H3KHNkjRQOsa7BtYt1Qy3qUe3Ef38+L BnnuIMtgzTDPxa6nzR/3GTxp/Y/arj4+l4G2Zbjnsj/OHntG+H64P3zoOc8d 5L328FmPtW50vmiOvFdqeYfIecH7Yd4k0WjRGNEGvueXRRO9N8bG2z50TjBn bJzPiz29atl8T7Y89Ewxx67ZloWMZ6VrpGhD0evWiY0jSrZnWMYQ2zrVMtjT TM9F5xvm2DLHsifa7sFe/5b72Ossz8Uf3zTHJmKmk8/3bc9lH++Ys4+PbBf2 fmI70P+F1zB3esk5H4q+dN+7rKFfNFr0P6/Dls9tNzbOdR92zXMfcj+2TvRt ovXviX8tuk3tT8V/Ft2u9mfiv4iuLWnrfHylpC3f1TL/EfvkuE7q/0D821rm RnIwufhKtd8X/0Z0fUnd34u6l7R1QS31zLbdt5S0+yfRDSXP5QfO0/v8sZY5 uL11f+r9sb5nybP7VdRS7T/Em4pPFk0SvSCqi5Yo2d9R1EG0SPOeEx8l2lzU W3SPqIlxEHwD55p5/ZKivuQQ0VKi+0V9RMVjyK4Zy/7Ez1riIPgJju5gzAFT wDdwA/zYzrjKud5d8r5/qyW+gJPgJbgJloKp2xgzOeftjb2czY7GQzCuR8m7 X1hLnAQPwTYwHYwFa1sZV8E1cgMxR+zxfZnPmvxIHiIfsR486VjdfS2xB1wi 94MBF3q8g8du9Fhb913m++vs9cwFq661vqs99s+SeHl9LXF1irGTNTfVGvGJ fAVOkNPu9DeywJAKD+FgDPFD/E21nlu8bq2SmHS3dd9s2eDwEGMVc3taRwfr qPC3wkb2D97d7j1393cvn19f7/8a6+/q8+1lGeTv+6wDzLnf3+T3/pbH972e +5jHurmvt2180Ov57uf7G26MfMhz+3ush/UsjnmVXPL60Foj9gyrNeJchXtw cGgjyZ5Wy5hftyTWDqg11hn32KYnrIPzGGRZfA+3jqoO6Gkb0T/Ee6iwsZ/7 +F5GesLxiR1gCH5M7BHDJ3oNOPOc14z2N7LBlDG2g/FRlkE+H2c9Y7xmpPvA CfAN7ABjRrjvlVojXlb4OdY6/lISF1+yjvHWUWEPORnMIRfOtj6wY2KtEf8m 2+6JtUb8nGBZ6JnqedhEnp9he2dZR4VVs2zrTM8DP8HL6ZY12/PQ85ZtAiPI zXOtg1gCkzYuefdgCbg03XhQYd7blkeuJ2ePNi5Ms45PLRP7yPOf2L65/sY+ sKPCTPiHtulzy8XGef4GO773GvSTS8EG8Aisw85NS+LfVz7jt2uNGPmFZYFr YBe2gn3gG/sCj36wnWO8T2SAXz/aZnDzO9sJ9s233eTpVs634OzP3j+5eoHt B8sW2gaw4Ffb9A+1DxVtYbwCvxpEW5bEvCWMc02Nf5OMZTWP1R0nTY1VdWPX kp7DGLG0tMea+fsht5m3dcm3H7h4oPguzpvg0ArGL2gl49G2Jd98jJ/v/Vdv qlWNU9BqxiYwircb7y9kN3fuPUB855Jvq2oec6aJt3P/TN8J9/6a7SKvviL+ MrlI9FdR68Vy0zrOGXuXzFn0HSS+a2l8q8CJ731KvmHoO1h8N8fzBHNi7kXx MSVr0b+VfAdXsbGR/X7fkjFD3yHie9gXDzfHR7Fxbefq/Ur6K776kvjYkrXK EyXH9vT+8AvqmcPE91rMJ1r6zrmHbXwX1GC/OHZ4O2/rfu52q5I5k/vcrjTe 5/a+U+oF6pi2ji18FP98VPws39NMc2rBx8Uv87lzzzv5DjnjvX3mLexL3HVL 2/+Hz4wzJFds4rN6z3ey62J32NpnxZ3s4zti7r6lMd4P8fkeUfL3CM4D3D/Q vtK+pJ+tudh9cOZ7+pxpr2sfWse+cJD9hLM/1Oe/gX0DG4jNw3wH5P+D7Ssb 2z/YH3FA3UYc/L1knCOP+vD0kjXi8yXroStq+ZsIY23M+a3kHLWP8hzqpRNL 1qDUeadbFnOo+egHG/9VEh+pU+F8E9fIO87zj7X8U73uRM+nlqWORB52UKee UvVZ78kla9+qZqXNuldL1nXUSsxlzZkeP9ntqt5l3Wkl5Vfn0M7r6WOM+rhN yflne10b66U2qfAc3z+jpF+Tw28umcfJx+eVRr++wHeCn15cMtfg++eUzF/k XHJvk+reSvr1APf/LpmX2p/WtG/i/2vbbuy/0nPa+U5Z19EyL3d7kfED7AF3 6LvCc64qiWcVPtHGz68riT3gzUDLWuRx1pBbkAW2sY7f+5APVmHLpbaZPsbA vM4l53/rdZ2tl9xwdsncALahF3uJe/IAeQXs62J7yM1g88fmN5bE6S6eRxss pM4A+xm/wXcEtt5aEl/n+hucpY82dcnNvtcKg2mjs2tJmT9bdlfPB3PvLIm7 3UriMTnxc+dHciN93bwWu6/3Xqsx7L2j5PwFXneH5ZATwfJ5PpvrfM53lewH 1+fZDnRiC+2FPkPO7xLLuMv9vUrmW96G1FlvlKyJqLv4XYD6jfpqhn2GO51m fxvjOYxXOZq7HmE5rOW9PNY+PtVzsGFWNcdyp/uuZ1kXa5k/p+Q7bXbJ3wLa uX+ada0Y8uPI/LJbXTk6MlfuqvZukTkdPbMsc0bVLolDyASnwDNqnZr1zLad e0jOvpG5f7Do4ZLv9N/xl0g/ZA11EW/2e0u++YmpQaIH3N/EcziHpzyv6uvt OfD73Gbd/W7DH7ReiPqJ2gmceawkzjVz/7Il65MnRZu5r6/74Y+4De/nNmfX v2R+BovA19aWQQ4i/4Bjj/qeH7YsbOlj+5bymc3xuW3uewdzqc/IhX/iu87s 68hY/Ep8Uck4xQfxRXz4s8jznV9rrId44zB3XuR83p7jS74/R3gO9dJHGv8k MjY+Fv+tZIx8qvbnkbnhJ/FfImO9ie53ich45P8r3vf/Wfws3hAZ+79iT2Sc /ybeJDLev8OWyDwxX/yPkrmlAZn1jPNp9nvipfJjfPg128/vA7yVJnofL/v+ uDtwbVxJ/B3gMXIv5/qSfWmI54F9T3otc490P2vn2AbupbLjKuulvqS2HOM2 MTLK8jf3fWLzFPvqJOt9we2a73nyYn2TPYe7YZ/UzFvYfvY11PvC9haewzlM 8Dlw1xvq/Daqp38vaT/Dxzp4f5zDNjrzdeoZGz3Uvj0Sp/uI3xNZp0wR3zhS 75biLeoZY1uJHxxZF24mPiMSC7cTX7+e8bGt+Ncla7oL1H9OZA03Ubx5JP5u rznflqzjfhW9HYlrC9WeFYlrC9Q+PxIr8ccPIn1yQ/HTIuu870VLR+79S/Yc iePfsO/I83lEfOfI2rorfhdZ3/wkahYZp8eI7xD5rrpOvHNkjfVtZOwRd4eJ rxm5r7mRMUO8/Bjp0/jzwsg4IUb+iIwB/P+LyFgijmr19HX8fCnxUk+sWll8 +XpizDuaOzsS48eLrx75Buslfme4FhPfP7Iu7iR+eWTt+Kb465F1Rjvx5SLf Ex+L7ovMVw+LrxKJbWtI5yr1zCPLiS9dTwy8SePXR9aGxb6E336E30XWge+r fWNkrfiGYxEcJCZGOi7eNxaCV1XM8I7AZyd4zTjHHb7d3L7OGwSfG2T9+Otg +/PrljPdeDraMqm7n3ccE4ujHFNjHWfkVfxmoGOhg+f87rh+1nGET4M3YE07 y7zCMf6c50/0HpmPrdjOb2wfit8RWQOP817IJ/Bhbh9OHES+RdYjHiPPZio5 tWTc17n3etYYrcS/K/nW2UL9m0TmmR3UP7+knJ3U/qHkm2ZntX8s+d56R3R0 5JviXbWvinw7vKf2tZFvBHIq+aT6XRLO74vE6nD38f/Je0e+A8e7n/j6QPy2 yDp/R/EN6omLrcVbOaYuFX+r5JuWdc947ST1T46sy8GNH4wda0T6Pb5A/jjP OWT5sE+rfS54VPI9CG8T2W4rvlPk+/IEYiISh8k9rZ1/QnyleuJmUXvZetZ1 TdVuWs+6EXxbZIwDuxYYv2riS9azzrxE7Ysj33xnIzPyPXshdxv5juRu9/T9 rlpP3egl5lZz3C1TT7nIjHragQ3EYjPHIznseOcx8tyqznXraXzbyPpibbW3 jqyDzoyMeeIdfznQPnMG9x/5Hn6R3Bn5vgKHv4nE4uaS0zKy3jpO/NjIt/rK kftkj8siLzKmyJfXOGd2ifQt/OrqSJ/D38glNzifgDP3RmINeetK564O4itE vneviPRd/LZnZFwRU+BV90jM6h2Zj8hFt0TmI3JRt0i/xCfJl3c5Z5L7b43M /yvU8+6596HiwyLfn4PFB4X/nkK8vX34BfExkX/vsIz4upE5h5g4wnEBnhwQ mR8eE3888m32gPiDke/eAeJPRP4dR1/xhyL//mK4+NORf2cxQnxk5Bv4efHR ke/bUeLPRv7dxEDxpyLfw/3E+0e+98CQFY0j+0TW4tThu0fW+tT54MMbkRgx JxJ3wdyW1A+RuA/WgeXg3cxIPAaL91N7k3rizvqReefP39EisRwcB0uJf85t g8h8RC7aNfKNwftiXCRm48PT1d408p2M/im2YXPN3ayev7G1iKwbqBkuUvu1 yHwPNu4SmSvAzLcicRNcrRtbqVmOiqxbDoqsY2gTB1vXMxbOwoZ6xuwW4lvW XRuq/+XIv2dZKzIXk4fJ3+Rfcu//AV19+Ow= "]], Polygon[CompressedData[" 1:eJwtlnkQllMUxj/57nkl7UpatEr7Sk2k0h6lpIQkrYo2ZJQkCcnWZEtTUdpL GxHJmm0sI8YyZCxDtEx72hR+zzzfH8+8v3Pfe+9777nnnPtWHzy295giuVxu Icqj1ZHLrUejUy5XFr0Nb0bl4dvRdvhP9CB8kAHr4L/gC5PH7EF30taX50O8 Xw6/hG7FLoPegDeicvA4tAO9HuaL0Mvwa2gsfDY6P8vlPsVuBa9AA+FLJLgb 6gp/he6B16Bf4J/Rfr49TXPAS1BTuDTaCe8Ir3069h9oAfbNPJughfALqFRy 2yC4HboUvgJ1huuzptXwKeYYjN0etcHujt6Bd/Fsie5Aa8M+lS9Hod5wMbQ1 7zlXyZ88myf7qDb2l/oGXBdtgnfybIFuS+67JjyXxlwb3oPW3gm9GvapfCkf voi9nWczNAJtw/4JTU320U3aG2qNfXny3heF+8oHLeHrwnP3To6Fd8N7U0yM F6M+yWd+DD6K/mbux9UHvgF1hiegD+DdPCsoTuR/7N/Rgbxjqhz8EboLnkzb DPgRNFDr15zwY2EeRFsXxQbnsRmuh57DnoOGyZ/0KQVPRP3kK/QkPAuN5N0Q 7C/gz1AVeCJ6Ap4Znlt9foV/C8eS1vgU/HR47C3Y8+C54W8NTz7797HHF2Jg NvxsuK/WpNh/M3yWyoFp8P1oOO8HYB+HT4R9d4S22uzt8/DaVqI62B2x28I9 0cVwM9o2Ju+hLXYL7E1wLXRIsY4OM9ejybn6CvaYQs6+B38YPotzUCu4CeM3 wBXRYZ1leKzOdEM4R5WbmmM+/Hx476N4fy88Wf6H+9M2Bb4vzNrjKfhkeG8z k89aMaLY0Jk/DE9XPuZ95v/C/4X7HqWtCGs7LTPPou0B1aKw7zSmJ1wJVcW+ LPnsSyuGk2NgGbw4XAtGak/JOazcraOYgWuhHnAvdDA5R5QbNVEZnV04F0om 5+Zb4dqoHFUsHinUBsVkI+0FXQk3lD8LNUW1pDYaAg8tnOeevH2vGqraqTMY y7tx6Cp4L22d9K3w2WtMQ/o3yFwrVJNKKHdQIzH6BP44nEvK0cr0bYK9ULku n8oPhflUc87jfQ/s9cl9aoZ90qsQb+fyviH2fHhucqwd4rkl75grjl0CPQOf oK08XA79A8+h7cZwTCuWu6LScKnMfWcn1/oK4dhTzZ8AlwzvpbH8T9+ymftq zgwOdEy5SdsZcNHMfJy2s+BimVlrUq7sU53IO2eqYjdj/iXwIlQduzn20uS2 ScontCw5hvrDNemzPLmmDVC8ZL6buiiH4AqZ93qSb9SAR4RzQ3Psg/ejGck5 eSD5TtNdVh0NC99pussUg3XgrWhS8h33Hfw9mqK5GL8X3oMO5T3nmYqVcKzq TNro7FD75Bq/Dd0droVDNb6wB629MvoR/iE8t+6I6+Gy4VjXHaq5KofXqjl3 wbvDd6nW0AeuEc6ljsm+WhrONfnsao0Nx36H5Ltphepj8h3VIdxH73Snrgz/ Q+jfQX2qwtXCtU136Bh4dDh3lCN1M69B316FGoRjVrE6Lzm2q2EvTo7xvtjF VWMY3w77a+UmWgtPRt3hKvRfAK9DlTK3iZUD+wsxrVhWzdHYipm/pTlOh/OZ a5VidEu45qrW6o74Fv4mnNs606bhmFQsao2NwzmrXNUaLoDrZd6b8l+xUTe8 VsXINXC/cK6oBteD64fvRu2xqGpR+KyVA63DNVO1Uv9UjZm7W9gXqln/A75w OzI= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{55, 1, 5, 9, 13, 17, 21, 25, 29, 33, 37, 41, 45, 49, 243, 234, 235, 233, 237, 236, 137, 239, 240, 238, 242, 241, 138, 245, 246, 244, 248, 247, 139, 180, 249, 250, 232, 165, 230, 164, 231, 178, 229, 163, 227, 162, 228, 177, 226, 161, 224, 160, 225, 176, 223, 159, 221, 158, 222, 175, 220, 157, 218, 156, 219, 174, 217, 155, 215, 154, 216, 173, 214, 153, 212, 152, 213, 172, 211, 151, 209, 150, 210, 171, 208, 149, 206, 148, 207, 170, 205, 147, 203, 146, 204, 169, 202, 145, 200, 144, 201, 168, 199, 143, 197, 142, 198, 167, 179, 141, 166, 140, 252, 251, 136, 195, 196, 192, 194, 193, 135, 189, 190, 186, 188, 187, 134, 184, 185, 181, 183, 182, 191, 65, 55}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{254, 253, 257, 475, 466, 467, 465, 469, 468, 424, 471, 472, 470, 474, 473, 425, 477, 478, 476, 480, 479, 426, 461, 573, 456, 464, 444, 462, 443, 463, 423, 256, 255, 254}], Line[CompressedData[" 1:eJwl0lkzlnEcx+H7UZFkSYlE2aVUZEnpsMguvAIHDhzovfQ2LBWtZsiSGvIm rNkjsiR0PePgms9/vke/uefObH/Z0hUKguAVOR5X6GCQBxFBUMJ9iinis/2u 3uM2hdzhk/2WFpBLPnl8tGdrDhlkkckH+w29yXXSSeO9/ZqmcpUUknkXvk2T uMRlEhmwx2sCF4kjln77BY0himjO89Z+TiOJ4CxneBP+CBriyPuEY15zyD/2 +csBfeyyxzZ/2KGXLX6zwSa/6GGZFRZZ4ifdzDHPDEPMMswCk6zxhVVGWGeK MreOaqmOabn+0Aod14f6VR/ptFbqhD7Wb/pEv2snz6iimufUUEsd9TTQSBPN vKCFVtp4Gr4jdPoP/Qch40Rf "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWUlVUYgOGfoVNAOh0klO4SGcIBJKU7pLvLG0BJA6S9kFo0wlqkwAWN kgqodHd3Nz57cfHMu/eeM2dm/9+sE9uxX6O+CaIoyuFLXEwUVWY9BRNG0Wbq sYn6bGEE8YmiaKWW5Do3uMI1rlKCS1zmPBe5QHHOco5TnOE0xTjBSY5ynGMU 5TBH+If/+JciHOQQf3GAvynMbvbwB7v4k0JsZwdbacg2GrGTUeyjMXtpwn6+ I727NtN02lw/1NGaUVtoBm2pmXSMZtc2mk3bag4dpx9pB82tX2usjtePtaPm 0U6aV7/XT7WrfqLdtKD+EO6o3cOdtEd4FjoxPEPtFZ6Z9g7PWieHGWnfMBPt p6V0qpbRgVpaB2lZnaHldaiW02G6kQrW3+gqVrOGFdRxPlNr6y9aV+fpcJpZ V9flTKOV/XSdG17PYIYwgCk09f1q+iVz6B/m4Kyq/sYkWtr/rLPpE+ZlX0WX 8SMt7H/SWfQM87WP06Xhfa3zU4B8dHE2IfwvWFfWWvxKZ75y9rkuoaZ1LXLR 3j6nttOxNLCupBtYz+9kdZaFz8LPhnuT2b61LmYRNewf6EPuhbtzn29ZGH4/ a8P7s46RLGB+mB+3uM1N7nInzJHHPOERz3ga5swLXvKc17wK8+Yt73hDAn9T RDnrhJqIGJKQmPLOk2lykpKSFFRwnlrTkIq0fEBF5/V8jsTzBdWpRlWqxLz/ rPkf7ZeH5w== "]], Line[{691, 654, 786, 656, 729, 893, 942, 941, 1102, 921, 1101, 922, 929, 844, 891, 892, 890, 920, 1111, 838, 843, 954, 955, 953, 1116, 1115, 837, 1090, 1091, 1087, 1089, 1088, 836, 1085, 1086, 1082, 1084, 1083, 1092, 780, 691}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1118, 1117, 1326, 1498, 1655, 1550, 1654, 1551, 1656, 1588, 1850, 1589, 1623, 1622, 1500, 1661, 1662, 1660, 1664, 1663, 1501, 1666, 1667, 1665, 1669, 1668, 1502, 1671, 1672, 1670, 1674, 1673, 1503, 1676, 1677, 1675, 1679, 1678, 1504, 1681, 1682, 1680, 1684, 1683, 1505, 1686, 1687, 1685, 1689, 1688, 1506, 1691, 1692, 1690, 1694, 1693, 1507, 1640, 1826, 1590, 1659, 1553, 1657, 1552, 1658, 1499, 1124, 1123, 1122, 1121, 1120, 1119, 1118}], Line[CompressedData[" 1:eJwl1FlUllUUBuAPgh9ByAJUUKhIikIcoBQR0cpKrWygXKsyU6l0NYkW3XXb bbdeGg44UGkTzlYOzUVOaSlmJSqClZjNVs9eXTz/u88+55vP+suamhsXpSVJ 0uDnxYwkaaEoM0l62Z1Kkj28zy52ckb/Xfke29jBdnr0t8itbGQzmzit/47s 4E3e5i1O6W+Qb/Aa63mdk/rt8lXWsI61dOsvlytYRiuvcEL/QfkQtSwhn6co 4GEmsIpCVrKaNkZkJcls+QhD+IDBDKDPeT+UH/E8LbzAWf2xjqtTD+VjiviE a/TLmaP+0bpqdbH6brL5Sa9Gb6J6GJ/yOZ9xrf6j8mdrblAPV9/DJOqN6+Vc zpm/0bhEfS+TY41xg5xHv/lxxqXq+8jhvN54vSnqK7iKKxlIIzfTYP4mOZ9f rK81LlPfz9S4jvEtsokL5icYX61+gOvVlVRwq/F18kn5m3Wd8Wx8Ee+HKnOj GMntxrn8al2d8TR1BSOpJI9Z3MFo8zPkGLlALoweoxybToocBpJLHm3xLq0p c0xNPLOsjueXM+NdyLGyRI6RpfIuOTzuURbLqvhW8k65L56VL+MZ2ct0nqCc p2NP8Ry38TiP8bv7eFYu4hkW08wf+gfkQfZziK/4U/9r+Q2HOcoR/tI/Jr+l i+84zt/6P8gTfM9Jurmof1r2cIpezvCP/tnYo7HPY8/F3uRf/f7YL7HP4jvH XiCJbxnPEd8q7i/unbS4dlwn7i2Oj3OTHnPeWToJGVwS9FMyi0yyGRDzsRdl LjlcSl6s0b9MXs4gCsgnpT9YDqGQIobGeeN+/H/10UUnO+mgnVaW8jIvZfz/ f/cfMRudDg== "]]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlgk0ldv7xynkaLhFSqmfzMmV6TaXr5CMTah+qExdGoSibuJGpuQaMtxb uWaRIfMYmTIVKWOGo3AMxznnfV+UoZL+7//3rLXXXp+19trPs/d3r/18pe1c Tl1cxsfH10qP/5/V16m0hP9BQfI/GcrW4XOIc/unbfYBha+VonJeQnN4fdLz 67MUCrWjch9Iw1kMx8pM3C2nsJJwUGXFfsFOQ50/o1opmPe65+R/+4yiyvCU 70wKH2qMzs44fIaBo+eJdxwKUgU8Vbe+GVipplpsmaVw3mxb7Jj9DAaf/Bxw /0Gh6KixnezsNLjC2Yuf+aewZjgk9O+/pjGn90ZJR2AKzJ3Z0pVK04hU2LQ+ W3AKwrJ7a6Vap/DhikPGXqEpSJnLJP/3xhQOtTD0NtEsvW/hSubuKcSbVzwP o9cbthr6GC1QcNeK1oul9/Nk7V5rFUThm6WG9eHlU7huknXz5GYKo+kaWn50 /mvx284s5pEwV41sVKX5uudpo08JJMJNYxP7+KbgyJLp6g8jYU+OtvnQ/JS/ sZb0JsH04DeXpzlF33h4szMJ4a4a4S00F7pZX3a+QsIxs7RElObkina1mksk biaNn2PQPPYg/jcxJxJ797fmCtDM1u5rOOhIgu9/MYXf/xckXs1LPJr7Setj 82JZxEUSHN7bXwmaLcRtcsodSOxZ53q8n2bRXcZyq+1JyJ3yc2iiGXdcPtjY khjiY1wtovmhZU1T0QUSGnozbZ+XKPSS/EcYx0koSu7nqdAcGDHv5qFFokHv W7MdrU9wUOl/vqqQkPE+djlykULTWJ5k9FYSSX4e3T1zFO5ppwsIlRAYMb01 dnSKwlHyu77IKQLS/qtbOGwKfQ5ic+7TPHgeP5hUP0Qhekh/49ZoHj4Y3XPu /0BBUc/XhbmPh6xxdv/3ZgpLIkd1ZUq5UHV4fMCzjMItOd/P+fu50Ika6LqY RmF+mUGzXD0HNs37g9siKdyerby51YwD5127mK+8KaQVZc3rT0wicEvZF3NH CuP9nYlmPpN4ZvDk/ugRCrtsh44lLLAR0RS8XVCG1n3x6TOV22ykJ8g6Mr/T OqyOtXfgZyPN5GN8WCeJTvfKkPKICSTvU/uqlUHC8x7TMl9hAryugx6/0LrH eFnYMuvGMds3QWyj73F7waHZbodxbFhr9nY/g8Q/61SZZmNjCNLrydaqIeAW 9bDazXUMohNOGwLdCYwSkwmnBMeg5Pm066ICgcuonNdMGUXoNfu1O3t4mHuY mnTJcBRtz85e2+HPw03lSW/LeRacxzepJKvxUCLrk+udzYL0H95Rexu48Nz0 pevCGRYuryiTNTrLhfSW1grZVSwsVBcmG3E4cFqu1ij4ZgQC0YMiqXc4UFWX FDsbMQLrlqDFklUc7Eivl7l7fgTL1J6pDcRNQn2vqDilOQK5q1LEBdVJfFco s1FaO4JPpp35dYlsiIupNYlyh3GbP37rGzE2+ltt1r1/N4xFxr1NvPsT6GWG j0a9HMagsbzVX3wTEFYVV0wtHIbNZNCPH57jMPdtqD6dPwz1IIZIwMIY7tf9 INaUDOPRoAp15vYYtFg5Ww7UDoPZbpoV2zMKWd3cjqXeYbQZPz23c/8oGMWe W2e/DiO09pvh3lQWDGJyDVbJjiDuMl/m6/UsFIuPyeuajSBWaGXax5AR9Kxj 1KUFj2CNmMCwHWMEyk9ayBMNI0gd+vLvb6HDkBiU8XAUZKFD+DKRRA5BIFnw wLgtC71GytktlkNorXN8r/yKhRN3ffh/S/6E5+e6he8pjkJqhfalrqSP8FX2 9T8fStfVSAYoFQ4ia1P5J4fPo5BwvKM02sXEpR/5ak5nx/A8pEStUpAJDxnV P65UjOEdn1yrh94AJBKzOxMlx1HQEGPt59KP++Ja0SbB49gr0Ph7amYfXoSF qTpMj8NXr+I3lS+9eMiXZeZqNoGI+KGDT4x6oXE5SX5v7gQOC1HnwrM/IJ13 uaxYgA3FoHjBHokPsH1g3CRizkaZtGSGZVgPdBWWHb8Zx4bmreX9Sqt6EDVV 62w8zMbrsMBqdlo3NuZU31ojPgmtPhcLXf1uIMLEJvDIJD4Z/pjtn+xCi+A2 B971SagmbIm3fNgFD1uBk7fpdxMW4zPjcbALmtaBNxwaJrGqWv0Mm9OJ+2JV bSOcSYjGtm92/7cTe4TaohTWcFBjH8Dy1+4EqyDh/K3dHFw6Uut7n90BWyOd CYY1B776oQaq0R146KNRIH+Xg5kNltkauh3YKnpkUSSRg5WbXguaz7ZjLs9E 8nMVB6lxt32sMtsREr96cS2TgyZTMbWNdu14N+yS93Ceg7WB2pnRjHZYd5pa hEhwEap2oYpZ9B43cgc4V/dwUVH/qTDN/j10K64b3TDngiw8rFgg/h7hKjH7 Oly4UNq0FBQS8w6sL3x9xcFcZK165mot+A5ZhO9H3WQuBG2rEs/dbYMXX2JM SxnNVV05/Etv0ZBu/NGkjYvjJ9+dFfB9i5ylw36DI1xYfvTeoyj8FpYJilER c1yElb5dqR7Vise24W03GTw4at9UJKRbseXOseUJkjzUHKe80iNbMEdEOlzU 4IEMD14nxGhB3liEi7gBD4+d3Qae+79B2cY/3zVY8yBkumvRWPANdM8r2D5w 5SGyvbA++sFrPD1FPXf34yHh8I8hnfWvwVj/wjA6hgcp1aTkDcnNMFH4R3o+ jYceUv9it2YzBLvlX2SU0v+S2riw4esmBCzw25Y28fCzrlb924kmhLQtc63u 46Gqw6pCfbARTWbOOsu4PLCud77Kcm6EsnTj/tDvPCSZhX9SWtaIEs0Cj6sr CbQ1lYRcf9IAj9wj05mbCQw6Kbj+d2cD4udV73jtIBCmM9ag0ViPxojv5hn7 CPzUNAhvsK1Hz6/ycwcMCPAYbRqDfPVYWhiYPHSawO6AS6sMU14hIvoWp9Se wMaNN8ZPKb4Cu+O41F0PAtekzitP59WhRL6g6mIggR+ZnOpa1MH92L1Or78J cBU7Sq501uLvmMnHnU8JRO2+IBt/pRYKjzxbbhURyDwirvmLcC0COi0HPeoI 1FGKQYLMGoyGx1snNxNQ8dfzfJ1Xg9YA7ZzcNgKfHdWMLAJrYMX4szm+i67n 9yznFOsamAZ5Rrn2E/jqNR6Ro1mDD78Ik/JDBIqKXFy3zVZj/QpOpASbwJ4B S/6CgGq8lHl6p5ui8wtd5cxJVEPZjew6P08gWJed2p1ThYfXgrJLlgg877VM 51t6ifHe/L+4IrT/0Dk9IWf+EoxS0eJ/N9B9bKLuVm9eJXSsTPw6pElk9KXF l4tV4jk1kxP9K4nfy+fOXPOqQJGHgi5nN4nTE/dmBkQq8DbuxrpntD8QM9Se dv/3BRSF36sp69N98FCg2kb1F+DVXdC/aUoirsDOK7m5HKKvxxtDzEnIDktd XbArR3rv0PJrViRuH85xSJApx1ZZY75m2o8ocu1Ez7PK8LE9ddka2s9YR2Qe VXlahpz3LjHatD8qnr+9UcipDN0CVVo2V0nUr1IvC91chursN6qP3Gj/JfVo V2lbKf7KWeFZcJOEvgz3pId/KeycAiTz7pAo2td6oeJAKfyPfhOK9CHxduie oXhaCdZeZ9U8fkBC/s2O7cUbSmChcPqBWjSJVHFLkz2hxcjT/7XyXBwJvwMi wtqMYlyNst+yPY0E74rkjjsPipA4wWDF5NB+KkXe2deuCCEveL6H8kkouEzc ED5QhLvLo3cyC0l4p5x4v3p9EWwOR2++XkKiN0FAPpwoxB2nRLefZbQep94c U6gpxMtpjxz+ShJLbabxjlGFuNi1TmmhikTfoLHVccdCzHjZKrBqSWh1Bk72 HSjEY3xj19WTiB9Z31TcUIAMuduNEa0kdnzb/E7OvABlTtpKa7pItGcwrUbH 83Fp7nA3Bkjo2VkUlHjnwzsvS2PHCK23e2aRnUQ+LJy1zrSzSdRtD4k9MpgH ne4/evN5JJ53HTx2LSUPCwWyGl5TtJ5JUa4dl/OwRsFDWv0LiWQjSsJJMw/B Idut2udJXKt8mf14bR78TzMEJL7R5+Of8/Vj5iJYJTX99CIJDx02f+WjXIQd c3cNXSLx/eOOE70WuagZPhBUyUeBWPPLDpkVuViM85c8tpyC4cTWDSnlOTCc qVHvFqTwf4BQhWU= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk01N3/B3ASRQtNKUsoWpSUVJaoN62I8hDFQ2Qn6bH0WCKyRLYi0SNr IdosWVpskX1fytj3dWa+hpgZUv3n/7vn3HPP63y+99x7zr33fN87LW7pWa/i 4OBoYff/Hxs+FqQ35TJhzJjYb/KQAfFRNxKlnAn96tRq//ZFNK0jEspamLB7 2HZ5mX8R9J/9Xnl9TCgabaPpGi/g2sJsSPMkEwa+naqKOT9gZPxr/UE6E4GW Hodf7vyBSUe1e9JMJtzOGT3JiJ9H5uocsaoVJug+pXfjROaxN9/9Dx8nC8+o l1JoKXN4nqFwgHM1C8LbI8ZlZOfgsuptzDtuFshzYtdHSuk4oSoTJsrDwpIw cXPRlY4sec2eaXZdX+6yoosMHbLZEZOibLcTZ/ffrp9FVOwawXwuFhqWLGhW p2Yh1R/1JZ+93qvucjPfUgJyhjOJV9g2Ebx2VvcVgSebuAYYHCxIflPLVo4l 4OooGRjNtvdmn39U/An4L4ZF72f7z5NmEwMnAjwt235KsH1yLcd5I0cCm5Ld jQXZjlgT42TqQOCf5dc5fGynW/l2XLcjEGl6x4ibbWqgpqCVLQGO/zUWbP7X CIxmXkhd/sPE0hZmkZ01Aa3r2mqLbJ+V6Ra6YUVgfvUHzxm2/WpUl25ZEGi4 ysoaZHtdTvfW2+YEWuY2tHWy7Vme5ux1jcCWgaPmNmwL7D0oXKJFQIlf1nTh NxNPF3nctykSWK+vXH+XbdPFx+YPpAjMBCVlcbNtF+jzmiRAoMAxOtt2mYmh IX57VjgNnpb61bsZTHAW7RShb6Dhqk3F11NzTAS7tVvXR1PRUDV89wuFCUGV xzx/i1LhpdZblTbOxPQD81iPlxToXigw1OplO9buOuX3DB7XJj9PZN+voWnx muemM7AaJSlnVjDh+9U+52DlNHSDFRJc85lIdhRjSh+axqSqqDpvOhNBN7rk j6ZOIXHhr4cuMUxElarULQtN4UypV5vvHSaSHgy1+ltNgvmf/XVXcybco9fK 132cYM8zYFmfZiJBMddYUmgC6YW/+P/ZxcSVieNiC3fHoftppS+Li4kMWSfH 97QxnFxP0ZAZZqA9cbPjiOUYSKrq1HUlDByVF2/YODyK+6fE3fbdZ0DL39Yn 8tAo3gQfETfUZmALVZzxPnQEiRr99E5+BjzdF2hBc8NQdPlrw2TrIiQ/8PTv sRxGr8/2iIaHiyAnPuhtHRhCSNUWyzLtRSS5z55utxzC3ylQ+7VmETPfyvsE RwchaV6iOJG9AMkDj+krvQO4krm9ZMRgAeqCMvscqP1wKWkuMFj+gYnqWMM4 Uj++caztf5b4A0uxlGOEdh9iLxYVr1P7gShFbuFV8b3I/WlQsDg8DzNnnzeh rB6sP0PanBYwD3UXyWdmtj1QUth5U5lvHnJpgwYFFd04TFqqM4+aw5rDykdN jnXjfHHv70jhOTgahq48LCGDJJl/b/8LOn4W8LwpNyJjxOTFpfCDdARF3KsI W0uG9AuLEk6PWeyQ+M+7sLYLKcvf9kbHEbitsalO+r8u8NntviRzmwahOy9t fJy7kMl7uTHIhIqX7/zv9Vh0gbzVIkLxIgVJsfZWvje68MMsyztTawZajoGG Iw+6MKGTNCqkN413LRzW6cVdYOy0OvbSagp9MZn/hq9i72dBWM3AfxJz9v/6 uhmT8Xyw3mqfyQRalljd+rNk2O7Vrb2vNY4S3sagstRubB/bn12mPYbwqPB6 /ls9aOM6m/vr+ii0Ft2loi73QsosIUnnwQga+As33L7Uh1Pk7ypZX4ax7NX6 ts6kH+51Bkf+8A5DIz/+nIfnANzVST2qukMokl2RkasYhGMc/4ZbFwdRxmq5 lRY6hERJxlsO0QG0sXZJ71Ichs3UnRAHrn5ENwmstR0bRtLfdTv4uPtQcfmo qvGjEeyjf5G2EusF/dfkFiHlUZh2RspLa/Wg8vita4t9ozgVxFUp/6AbmjYa e8K8xvBQ/NKaSDIZ8Rx8msUC4+hMPeLorECG1I2m3MKkcQQbKnE5+3XBsahT 6l/1CZjzPd2q9vM7DJOG/XLY7ycerdavfL+jgdR/V2rfJGIPuMglrf8O2uWn EssPJ7EzhNYsnfoNn/2zNf2JSYS8Lxh2Vf0GgcKIGamzU+gZt3lS0d+Jdgcl 5tWYKXx+KPDTKbAT3ydD3TL6pqCUMXLFVaQT933rjKYOTmN3rS4kizrw8th4 pajHNMRYxOMMow4wg2bv63ycRgbpp4s2ZwdGA7Ykef6YRrjIht933raDUeXf fX/vDEqbA/ryTduh2Wrcd8ZwBooGL61DN7UjilJTecNvBuNbOcxTatswYZY/ l5AxA/tj785k+rehj2kfZlU3g+zo2IVrYNe9/jNRmZ7B9vmNLaG/W9EQ2DYW wkPBjlY70eWyVrgYX7ZN30mBeueeD/cCWhHJ8BnrPU7BuiMa15PRClWH8WJx Qwpe5+f5XF1pwVNGt5nnLQpgJ+jN9GnBqHdZkFwwBSfakkeauFrQrtj23juR glhKwu64iGYMWJPcwvMo4PCr/GeraDN65fccvF9NwefW17RdmU2oLuCnHO2h YIludqdUqQkh40HJLCoFoQUNnHmNjVDYN5Y8/ZsCPflto+2WjZBWklDbLkAF deLNVdavBiylM+NTd1BR6hBHrMQ3gMuV93CIHBWj/iL6TeINCLDUbtY8Q8WJ jA/z9Ix63KxwsjlwhQqaYjtp35F6qET1bjhtT4VGxAZt1co6ePOmMBK9qNgY 7j+waFiHBItNmy6EUREVLbtnN1GL58fi7xo+o0Lq+O9diSG1mD50mah/RcWV pb92HN1TC4vtwsO5H6ko+mOiU1ldAxc1q77NtVT47F68zrhaA2/TQ6xQMhXK 61Xf0olqtAXLvDKZosL9wHOZuyHVCJJQcH7MpEI+fUeR0+5qvCKdblPioUFe wSjrSVUVWhnNrgZbaAjz5tNYsqpCXO1XST9JGoqvco75ranC3r5rh/bK0bBR wPgn19uvMGoixPRO0NAgnkY2MfiKX970rjVaNNxXPqNvx/EVebaaJRcNacjl KIpoC6lEXOWAQ5AtDbyyaRLGWyvRc045mupOQ05W5+43mRVwlbhw5nEwDeef xxp7ogLKk1e3BMfSMKTbqOLV8wXhnvJnOtNoIN18azJv9gUxPJ5G2wtpWH1t MFmbUg6ZULOLd6tpmJedeSTqXQ7TkdWm67/TYFGiF7CyqRwn7Wn538doiNnV oXTAqAzlLzmnKPM0OJ9rcz8YVwqP3+TDRhwEhMW8s5UulOJUroj4U24C6dus j0VxlKJkq5l2KR+Bz4l31Q8VlaDm7VrPRn4CwcrBZny3SqAQZ6VTuYWAxoS2 rYh0CcIG9t58IUzAmO+px4aaYjiIR+Vp7yAQIqIXoGBXjGvGro8a9xCYbr6x eG9dMVRm2yJ2ybLzy2X9/f05n7Fy7rSE4RECzkKPGj+e+wy9Kxbkx8cJXLE8 4Xdl8BPeN+T6JakTeBQmkxHv9QnfAs2VPTQI6Pd+3Gwv9AkqpsbcUpfY30dm 7rrh8REuoU0ey0YEEm/4qMwPfMAFrmEXY3Z+CvFzZjy98AE7YkmJWuz8lu6h Ps9ZWoRXNSPr2t0JvLDU0+46VgR513wlph87L21yzTJbXYSv/pGRGoEErvHU n4jvKGS/aHG9iGACARct1QNeFKLepre5KpRAhdhG3m1uhYg+slFrPoLApbMe OoKnCvH3YP9NrSgCpIgnr5oFCsGtF+v8JIbAIO/51RgqQMrZyecd7P9gNznB 1CKnAErFLG3uZwTKUv3MsbsAQvJuAhfS2OfRMEnqSc7Hu75/7fe/Ze/nyVka WSIf5i2l/VkFBIZ1b96ZTnuPU3rVN1tKCED35FDZwfeQGPyVklJFQOf1uSie 8Tw4Bz4I8a0nIBPdVCCcmIdb2xS+nGxh51VSZOqUYR7CGjf6D3YQaHOL8bIk 5aEouJxuQSaw7d65AIepXPzJVN+/p5dAp+iHtfxludhzYDlxoJ+Amo5ogk4s u76uOyx8iMDTbJFpSadcHFcMlpMbJSC230Q/6XQuEh7xLi2PEyh28dlVLpyL v0Ru3/g0RaDaaW1cID0HO59qNjpRCCQdmFo1VZODlAMFpkIEgZWO9I2hOjmQ n1IrEmWw8/DiK2Wt3Gzcu20sWf6LgFOBLe3gj3cIfL++aIFrFnYnjk/zqL7D eUWqFo13Fv8HiK2YBA== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1nk01dv7B/DcoitzUXFSNEuDZlHeZIgiv5DSYExFpqRyDeWcQ5zJPBUZ MxyRkCEcpcGUIXHKnKGI8Cm6hlK+n/vXb6+117Nea0/P3n/s9SjauprY/7Vg wYJGsv8Xa7NWzJMN5cYqt0p/n4QpLV78fMgfJAYGOoiqmcEj8KZp8eo5FP8W 3zhZfgJpCRnqMphFnHaBj9D8cehsozX6ZE0hQUCYsWypIX7tXX7qc+Yk6DLe vMBOAwRd2E8xEfsOtTtujDoBAxyX31MVFjmGTaFZRbvVDOBYnjmzIXMY/Mmr BisuHoXXqtOaf2sN4pjFfQcJf0Ok3d6pH2I0gCxT9N/jGuORoorvpYpeVMfO eRYuMIGzUw+NIdqNDh8k2w+awXrzz4MHd7dD0mBJwPOC07hiMRH3qYuPtP7c JNGM85g92SiyeeYd2tiU+jJhW1xur745OfIWgRE9r9KM7THdpV7Tta0Rrh+a txGnHbDVUNW4+WsdvLdRRQdMXaC29NFm3qIaaHQs58kfcodt49lH9S6vscRU 8cQP4RvYuo+XoaH4EtLpSr/28rxQceNGkp50JaTrNcUOHfHDkO2fH+n8Z2iX FjLUcqFBR97zrn02D6lv3vh2DPjjVPpD6wluGdZYmt4xKggEf1jckPvmKeZv /jpzdZiJaE+rfBmJElSufMrojQyGwZ2Fg+NXi0BLE+yRtQtDzIiabfKSQli5 SidOxUegYYAY0i4rQLFS3GOBtdHQWOO39iQtH7Jb+sx6f8WiKCJ/jbNlHkL2 FX47uTceKdNX0tSPP4ZvoqvH2Y5E9Eg0z5/dm4vfCnqd7qeS0esgWxD9MQf/ vrr+9G1fCq51TB+1v5cNxW3jXmPBD6C1lV4kbv8QS2utjsXbpKP+QezFfo0s LP+60a/7XCbeyZwIGliZBTm7j6701EykFg31b5jkQvn36PbvI5nYrOEhzW3g QtBkf+nm3Vz8s2JpuVMmF3GqipJbfbh48k/74uIHXFxvGff2p3NRVhc5LZDM hdbouukeJhc8O2WW0X0uqjV1aerhXGQ5j/hei+PCM6Lv2EgUF/fu/tf+P55t VR5+HsPFw7jkrfrkOvq4t80Xch6fzdSeTuLCuyQ0dT+5T91RjX/MyTzOedCC AoO5kPg+XVGcy0V4nqpkG3luD6EuQynm4njmCi2Fi+T6vN1XXQSyYPet8n6G FheKvLXUcMMspBisqXGW5+J0ouxxRmwW1p3Xt3WfzcTN3u5Bs89ZUNPe6+Ne nQGjNPcEm5wcNMjy5JGRjuPnKUZz5x/jg2v+ix8xach9eOJjkEg+KqYdU8ti H8Bn0aSpR38BcjSolOrMVDw7zFea/VwI+cbQmkUTKdhpOftHIrMYR7sy3xvq pEDwQ7PyQtZTiDJCVxxOTAbXzrQlMrQMWSdmfzH/SkYR20qGXsqDRAn3fLNz ElyqFh7TEnyOjdkz9+pTE7E3up+Iv1CJ9cWW7j98E8BS2+zl1P0C2ssXnTRw uI+3DjM/09xe4dflWLW/7ONxKT/hucKaKjjpEI7n3eIwUs505wxXI9rB808i 8x5O3H0i7fK2FpXftB9P2dzFvQvZ5T/T67GaJ6oqZhoLl8Ob240Lm1Cu68Jc ey4GAa8CJpR8m5F94YQ5lRsN8XVmUSrt7+C0Pr7k68Jo0KZKbBN0WuGgXpKe 4BgFqwePQiwq+NhO7Hza3RUJtrGI3mLdD5Aq1pWdtIjEntdj+8Q/tKHefvut HX0RuCipwIxz78BkZM/PdMcIeG/ZftlrVxd6fGrub/8TjuvzzGuY6UbyitFv wnHheK9v40ap/Iiz38XsAzTDIe2e6SbzuhdLr/o6TY2FobRh4qxOZh8aD+wM LksJQ4tQfsDjoH5cNt7hfNAyDExuqZuA/QAGjp1zqRMJw5WfvPQ7/p/wMtBs XuNlKPreD7aXxnzG3JpNNh70UGBlbbZ7/CAsJaKCrY+FojZCOEEkbAg5naun l8mF4h1DJcbZ4wu2jLnOuXaHoEsoRGaR3jA+Sh9OlAsLQVGFx/RjwRHIzw7v bTUKAb9dbFVZwQgMpfWUF88H4+bdt2nR/l+heIDQ3l8eDMrkjt8mqqPwEix7 9pUTjIJCRolo4Sjku8LVl9gHg79Bs0l37RjWqZ5zqdEMxqmCzk23qWMYdUKQ p0IwvKXkBHe1jqE6zu5WwMJgCKjmJ1VRxuHa2l3uOsyBx8WxKo7FOEYGhg/V NXNAV49ezwsexznPzon95Rwo8jsLnMvHIRjt0FSdwsFEcn3KvvFx/GmRmn3B 4uCIxwalvuUErp9Z21xwg4OPS/rtFqsS0G21XaVux4Fqan6pgCmBl7Xf34qc 4CAsZ5kScZlAl6hi5hA4qHkiaMbzIvBRqNkkfgcHvjaaQioMAjX6lSoCChxY sWPHhiIJZD9REbYQ50Aw4xPlUyIB9TYjK6PfbPytvMX6n0xyXISmxRtlY0N5 QuH2XAJb3xdTQrrYODuc3uz8hEBbk/LS3Ho2pKdrzBklBC7wiadiPDby3Jpq K8sIfPZeTEnMYSM59ZiPQQWBzdn36VcT2DjxR2VQ5zmB2QM7XtqHsNHVu9Lj fSWBqdyD5jf82DDwq2fKvCRwRyJmIuEqG3Ofo+2lX5H3l/HX6rJl4w7tmWof aZOI61xlMzYazgdKB74mcGvdm3UsXTYGaY+ixasIvCg55qm6h43FaSVOYaRn Xaz1Z9ay4bXG+8wv0tQoSYlaKTZCo/Jem1ST7xVyhMtdwEaz+6BzPGlWRdHB uwQLjSunPnSSXqLgsj6mh4UzTk7Jy2oI0KOvcfPrWLA7fHrKiHTz3GxGbxEL EmqlJTTSCqYluQqpLIS0KdELSPtoijm5h7DgKWlzs4/0g4HaOL43C5GtC23F agks25UkcvQyC5c6xt7tJ62sbxaibcyC4Wcm34m03oFIIYt9LCz5Yp2URFrc zmMvU56F25+qg1tIt+UaDr1fxEInd6RLsI6A2RbXUY1RJu7ODuftJ13qu9Da vJEJgWreMg/SSuemlkY/ZoLTf3E+l/QNV+Hy3+FMzCfXB3wl7bjppjTnOhMQ t8zd+Ia8X3iF5ndzJi7ptypdIL2oZvsOP1UmJJTn9JNJc/b4hR+QYyL3d5NE D2nepzC11mkGevO5suvqyXwFE2+n8RmQXL7uySXSVUuNJ7ILGDiwntn7kLS5 rOAzf0cGPja+ytZoIPPzpjiar2Xg29uhW02kK0Uq8uQ7g9D33MfaspHAjvbI wuMPgrB/Ot+knnRsaDFF0iUIia+iFA80EegcqJOzVg3CY5v8pgekz3rM8w8u DEKOWJK1xFsCASOW9xhfAuEd2/pVh3SYnsXz2YZApEiV7/AiffS1nSiHrFvM h6O35pKWqrtyvcMnED71x9pXNRP4Qrn+jqcXCKGni04xSIuMilL2SgWiWFki 6wdpyewmJbXDd3A+ayYkooXA6NCGg60Sd+AmzAydIb3v77KWH90B0E2J8DrX SuCM3U/Fe9kBKHeknnlGOu7KFccX3gGQeu2ppsgnkOPTQBe6EAATfm3N/5GO rX10xcEwAB4EsdyPdK9VGDGyJwC136w25ZJ+4VFGW786AF975Kq7SK9s667y WhyACO1V25a8J0BBefDYN3+4LUi02E96UE23ITbOH7UPx7T7SQdwSwbaj/ij JcrrF+MDgbFUinvGv3Rc42eFb28j0PfIIO9XFR1yahaCbNIqJyWfNMbSobM+ w/sL6cQn0t9WX6Ejx23Jv9rtBNaHUCpHDtEx8y7yagLpEPtgCRklOrbeattQ Q/r+FpcAC2k6/L9Yp38nnWN86GfxPA0K1qETch3k/yUdz2WM07Cdb21+iLTw JnNz524a2puHo6xIK0oqDtvW03CXsM+jkjavu7LzCVmXyrUk7zjUScAlQ3di 9TIadIeqr/8gvU/Tq581RwVV70CyYheBCqlSXdlBKqJFXzCOk+57qtZf1UTF Qa8ju7xJV5Xuux35lIqYlapxGaTdXI0ZQelU1CzQLGogfTzvpExkBBWfFMaT J0m3dxTOF/lRMRv80FK2m8DjwBiBtReosN6twDb5z8G7/F8coeKZ1LQRi/S6 v2XEYpWpcKQopL0k3RB2oKRu1A/6dVGHtXoI/A/PjH8+ "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1HtcTOkfB/CRYRLa0mV3sZV2EclGustDV6nl5ZJ00YaikrJZl2rpoiLZ kki3Oc+w9EKKkVQbfdtutpqENYysalebGOmZqUk/3X5ff5zXeb1fz3l9z/N8 z+d75u2M3BSsxuPxDuH1+W7NyialfsUBTytkkX/GEKnflspJ53Bw5Vn6zP7E IVIHuRoWthxs9TQdddMfIhcPhKg+bOFgZtqvf9TeVhFqbhUwL5KDSIfcKTu9 VaR/anV51wkOfjKKWOYxWUUW6JVPdaQcuIVvLakpGyREXPxFxO8clIYmD8i2 D5JZlkrH2r84CHuyoInNHCTWWxRPAuQcKIQf2owaBohHYNjpHZMoGBafcbmU OED+CZJr9OhRmL5qOKbJZYAcshyflWZG4cZKQ28lb4B0aiRpWzhRqPS6GMKv U5J3hlbFAm8KC6N9Li1JU5K1NrF9S0OxXpST6O42JRk9fjmrJZrCTKtPGwSm SpKlE/Cnw2kKJ6e+rq4fVpCDDRZJdQUUzLK+CtCVKMj6s98mny6icF5RpXK8 rCCdZwSVdRUUggX7msvjFeSARmRtRj2Fv41ffuwPVJDWovv7dNooFHop78c4 K8ihBSNfRsgoSL4PPzW0WEG4rhUa97oouHrOztLUVZDkyCcS/V4KnGSN9MgE I652PW8n3lP4dk2RPEHBiL+pi/SwgoLGyQT3nG5G1NbHClNUFIYOJ7oWyhh5 NMW4yuJ/FMKefVyU08pI+Iy1BimjFPJZjMKvjpHAd/1LfMcobKoMtK+rYeSb 3rQAk3EKA71FSutqRsKSlz9i6KCa6Q8rqxjJPOPOlU5g/VfLUtZWMhKqz2tp RC8d8RNroDtMst++QO9rKB6VVDBiK5v16T06Jl8vJAPdW9FybAgteCa5sh/9 OXM8nggqDJLlG9FKG+N6PlpdyOlYoPPEx1KmofXd/nTSRc9SKxbooOVB1nee lTPSL3uQMBe93lLqnIve0vBkcD46aDRD5Yd+d7tZkYg2nOl7Z+wOI4b9N+1f oa1rzEqLbjOS8eBN54pJIlh2veRm8C1GbvddlKeiO7rrQkxLGAmWT655oCYC OLs8QnSFkTmuga6dk0Vgvu6q5R9CRnhStZC/+CLw3f/P3bhsRrLM9J8VTsHz tH/9TVsGI1Y5CTP8p4pg6+8y8W+pjKS8Mp6/WiCCh5UWjSyekcehud1v0Drp vrXO0YycLB9391UXgY2psDouihEzcWaCED2eFN6bHM6I2GNs4i56h6VDz6o9 jBz5vuBCETq+VH3X+Z3Y3x2xOtvRSeZzdyf5M3I+34q1Yf296XYhv3ij725+ qIleNnrn1IbNjMSF3Ykzxv1xVdsmnm9gpFi7z2sW7l+6Zlr2kCd+z2v8Xd14 3i/fxJzJXMfIjwVfiIXYj//+db2StZaRExFWfi3Yz79fdDRGuGJePuzuqcA8 ha8ZDahxZiR1jlZwCeav9NZj/wgnRozt6t7GYz4Vs8VRQY6M6D5+O80G81sq Odp6dg0jOxqOiF98zrePvl7fakZmF92LC8P818+JvxqK9hJc0/rwmkLj2KvJ k9DylgrLPZ0UxmzWuxcTzOPiFcaydgq1V3Z3h6INEp0loVIK7+43+yxGl504 njiI8ydzUZkPr2Kk4j9RT3Qzhb2iWP4jtIuvu/kIzuunrmyPm2grt0a3aKBw 6KdG43NoE09x+2AlBW39GqOj6HYYWeJdSuGl5Pn5YLTcTuJQfoPCm4g2s41o rQO74/QKKTw9GDmyCn3V55xjFKVwyS/Aeyl674ELNa05FAyqQloMPq+v7ppn cpZCRk8CXwvd0bncNy+Vgny/etOYAyOSW9d1pydQkP6sbfgerb5UJzzmCAUP Hfa4Hb3whTCqN5LCDz1q0IT22Hxrhdce/L8tkrZVoLO07KbI/Clktl+3vYz2 vZAv8NlEIXDCpiwDve7+USeZG4VmOsM2Fr3xhk21lwOFR+l5NbvRl1Kdftu6 nEJ6lcxnI3rr+6eFXguxn3xNpT3aosGhddNcCq9z/j2xAJ29y/JhkjaFi7+q J2uj41QPp5dNpVDRP35sdCUjO1W5qa9HONC9XHjwDfqXGPv5Ri0cmPwcc+kk mj+RzbPP42BUzzJtEfpcV7CnZSg+3xS9rNke398h1HI35uBG5hzb1ejAF5If DF8KwURvfW2ZHSOdw2Mu97KEMDxJIF2MPhqaIPjOUwhvS/ZGU1ucl8n1R48/ L4Ck+Ql77tkwomk6dyRqZwGUXPYOlVljf19fC+L35YObefzFAStGRNM7ut0P 58P7cVMLTbTb5lPdK5/mQXSTatOjFYwE8OvVxoPyoEXx4/aPFowYRa0+fFuV C8WPA1YZoP8P51nrsw== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{-0.05125000000000002, 1.025}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {-0.031250000000000014`, 1.045}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[1.0499999999999998`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdQVte2wLGj0VhjoihKxI4lFixRjhq7aFRihaixBY1iDcZoYkGwN7Ci MViwiyD29lkREZUqSFGkSeej2ZXnm/l+68wc3h2uNzdv3pvrX9/8Zu111l7f 2XvttfdZ55iNnzF0UkkjI6PO5YyM/vt38YJ3LU2do3U/XHfSfd/FW+l52SHc e1iocOWSl5+7WPsJjzT9tZrP6QPC6I/uExt9pfs10YfRh9GH0S997EXE0EmB og+jD6MPoz+ifIWps3uGij6MPow+jL7Fxc/tvx4eKfow+jD6MPolZjScXNo+ VvRh9GH0YfTTN9Q6kdzliejD6MPow+gPm1r/qzs3E0QfRh9GH0Zf901j7+OD kkUfRh9GH0a/ad2WrTZFpIg+jD6MPoy+27N2Xr+MSxd9GH0YfRj9t/e/bvF9 aqbow+jD6MPon/zO7EH9TnrRh9GH0Yfjd1ou/XF6hO6R4+5KrSZsU6x1A4fk L7gnzPVhz5V2Xdp2viiMPRh7MPbgheun/jZq7FrdF2YZS5sO2698tcY9ssf8 hzoLr8PDLGbOVNyOhTRf80O4cMG9CovC+wULe8U57+s6MUBYxr+BZzV41j+o 3TVh+8DA+JsVTgrT/wpN/7yQPfa89A+mf5aOGy81GnRK+HH00XNnZ+lEv9Wr tIcrbW6JPkz7G/UTR3sG3BB2D80Z6RBzW/QzWpVKX3shSPRh2ju4FA7vkHVP eM9Ol2ZGRiGify2+Surwu+GiD9O+ouPaQ4krwoTnfbupye2qEaK/ZbPp03qP o0Qfpv2TJjsOHHN/KGxdck8j1wYxoj+tr0VSiv6x6MO0Px190NPx6CPhDVEj XI+5x4m+x9udOSOXxIs+TPvefaKD6z1+IvzKd0xV1wYJ6v2L2Duza4Uk9f4Z mPbe9eMHl7ZPFJ64dtIGx6NJoj/X+3C2mdtT0YdpX/tVyv0UfbLwvcnTKtu2 T1HH/0ofh7J10tTxbWDaLwvNHnR3fqpwx25z1imX00S/74SzmWn7MkQfpn3W 0Wd3fUqqvKfWr5XM+2SK/okuumn3W2SLPkz7kS5vrbeszhKulLd4jXFQtsx3 2sPEA+bjk1YlJ3ddpZf5CBMf0IfRZ77SnvkKM19h/EGf+Yuc+QvjD+s3zHoM s77CrJcw6x/MegazPsGsNzDrB8x6ABPfYeK12DfEI+Kn33JdxiLrJCviJ8z9 hWmfsMPCJDpQje8w7e/V6nZ2s+37/+uqy/VfukVYVV4WeSJr6irhqGHp4+b4 7xYOi954b8mmM8LdHI8e/L75JeFNNhMTQjJvCgd4zArqds5feFeMbsYJ4yDh zk69J09xCBaeu/7u9AW1w4WrWH43sc3iB8J9e0T/1NMiSjgx5YfxrzdGC5sW pEypZPVYOPZuh9bxQ+KEX9q8bpveOF64zwGr435RKk9oUdL3vneisM/iXi2P TEgSvlu2fJuTnZ4Km4y2PrY+Q+UOcZV9tl1LFXZua2Mx9+c04d3narb+bUCG cHbF0UdGvlP5E7e6x38IyxIelTyuWdfl2crEm0Nm9rkTofP/0/150Pv7N26u yabllVUeWmVZi5Md7gv3dvj853ZX7gozn2Cv5rfzT/hcEt6ZO6W268Tzuuwy 5q0sbuuVdpsWlJ5fN+myrMeG/sh8MrDMJwPLfDKwzCcDy3wysMwnA8t8MrDM JwPLfDKwzCcDy3wysMwn+pORse/xk8OK3Wz/CXm39+qU2HqV3azV/Ib5M6ji xbQpCQ91rW+t7qsb5mFVo+J8P5PKKju28Kk16XmYsHeL/K6+d8KFiXdcr9q3 Fhvf+AaLPHJQ6jSvx0HCs+N6LM5ef1s4Lc7ff3XHO8LcP5h4yPWPNug0w7T8 dZFbNvBttHTcVeGsO73dm44/IRwfOLT5eN9TwtxvyW8M/9e2KhuP3innq/7/ HsOTysdckfEh+YxBXpA5IWTegevCU8rOfrKjMEDaS/5ikP9ps+he+Tt3hSuc 9svasjFE2ku+YpDvsxuYNPC5Op4e2YdljN0bIe0lPzHIf61sm1Cz/EPhkybx aU1OxUh7yUcM8kHX7J88rv1IuNfTefm/JMRJe8k/DPKNnS/M+G6LOl6PX/l9 zvfTEqS95BsG+evq17I61lPjSy1359zuBUnSXvILg3xSpv/0ugfV8e40Z82s Rr+nqPOTfMIgv+93P6PEV2r8ybR201coly7tJX8wyDt5PPgp+Zw6X0Y0cp+R vT5T2ku+YJDvnR+bFtAjSynjnDo/0HGyrkKLvKWzyqjzh/Xl3dCEblaN1Xjj l7zy+gbfUGHmB+2vbbZ5GvQ8ROQ1bPJDexvfEma8076Cz3KTWxtuqvHrUMnT B5r46laEGpu8c9Ur9eeVums7/w/JF1hPVw14dcC1jl7x6Hc3ru7QzTL+z6zu 3Gle7cVF5luv0NTWaUPO6lhPYdZTmPUUlnhbLzD+i+YbRB9GH0Yf9ksqEWsX f1KZcnXfZ26/5Sh20z3MygcFCKfljU2btTVcuJFP9jeP/WKFvzqjG9Todbzw /c3LX8dUeyo8fe63B92apQt/YvP5sP49soXDt2UvNjqWI2y+wiYi+mye8Jx5 Z1qcuVEgfG2yyTLXoOfCVYcvipoe81J4XK+E1v1SXgsfb9dnuXn+W+HCBkdi CwsLhfHftGWTYWWu5Yr/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D +A/jf6j7kU3zyuaL/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP 4/+Kcq3CUvsXiP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+O/ 1dwT1e3WPxP/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R9ud2zl AeNPXZVPP0koGBX9Pp57V/Hf4XFNGPmNeZPbB9bLVaw/29b1wqJgka8Iaby1 yfGHwvG3bF/0z44TXry/gWeJcknCps7pQ86apgpfnOD7zsEyU7jF7kvh1Q7o hRduMLPIOpErHLjIeenty/nCtWekRu4LeCY8dczAVosfvBA+O9DH2Tb+lbBx 189iLLPeCI+wmN+m2qt3wvw/Wv9/SUydazUxT7jlkOknvQ/mCydc0ud9mVkg zP/L+NJeT7veIGe8wYw3mPEGM95gxhvMeIMZbzDjDWa8wYw3mPEGM95gxpvW X+ItTPyBmY/kHx2id07xtjsq6zVMfjGzfkwbs26+wut+XjLdtNMeHfkR7WHW e/Ih5DBy7MNy/qY570BO/qbNX/7Z8wPGB/kW4wFmPMCMB5jxADMeYMYDzHiA GQ8w4wFmPEj+aBgPMOMBZjzAjAeY+QWT74acjzbze+mtgwO7LV0fdnO/bnT7 LivLZWxVyD+Rxz/2DatinKPUHhuVHp14VeSNSvTZZ2t3vUh7/Z7Nwz/LyxHe Yt2hhpN1rhKQsfDbaLNgaX+vq2/zHbEqlz1c8VDfIQ+FK7zu4WxcKUp4d9tB JWyvxAk3sJuS3dn0ibBSraZX1chE4audv9qZ0z5JOFYfO9o/O0V4bK2XfQ8O TBVecN+z3KJymcJvn18pGDNJ5YoRllHu6/XCg37qGbzqssp2fu6tHXfkCu8c fbDx5ACVj5565zLkQL5wRr+Kv3d/oPKrfeNjLXyfCXfuNDOsTrzK/Tf5tTXW vRBe1SSs2YtMlbc5NVuVEPBKOPLzjktCX6qcMntd3OUHb4SblNsZ4VXmrbDl +FxL9/h3wr88K2yxqmphkfu7v3KtLcs75AlbnztvU7BB5dELd4a/XJAvbNTI yu3HcJWrpNb7bNqVAuHTrldDHtZ6Jkw8hyU+sP82xHM5HzPEO5h4BxPvtPsj 4onEO0P7T11ivlnockp413cltgaN3KH7jz9PYf01xBP+P9Yf7fkT/59L09yT EZP0Su8oj90+t/bJ/vbiN5vNY6f6FhlfWzJCLWMG50h+hL2g5Q6bY0adlvbD 60zt1a9GgDD9IX/iel22/Jzf77A6XqxHjXActFnNr7j++MsP3vqvviPXs7/T 883GTuHC5F+0n1ZnQeSQAlW+b0XYsEL7WGHyM9offFihjc78kcj1X54YYRkY L0z+RvvZA+72qtksQeTrSvxaOjMhWZj8jvZVmm3ODez+VOQWcd199r5OEyb/ o72X8fd/Oo1KF3nA5fJjRlfPFiY/pL31U3PrzrNU+cl79s4rNueo98+QP9L+ 2XjHhb/cUOWlLwdGT9idJ0x+SfueQ6NCbIJU+dBjrdsoxwqEyT9pv6m7VdNW Map8z85NK2qfey5Mfkr7+NZ7FlVIUeX61S8eFdx4KUz+Svs29cs+SMpT5d0W 2LUPDnotTH5L+8WVp1pcLVTl66ZeWX00Ro2v5L8ynt/dXbrzEzXePhplHr88 pbDIeCYflvW15Mu2F7PU8W3kF3XqysM8aU++LPF6xsI5LduqfLrNmII2pgXS nnwauV1M4QmPeSpP/fNJO8/xzyQfIx6Qz5CPkc/A5DMw+QxMPgOTz8DkMzD5 DIx91gfsw9iHsQ9jH8Y+jH0Y+9rzLJ4fkE/C5JMw+SRMPgmTT8LkkzD5JIx9 nldgH8Y+jH0Y+zD2YezD2Iexz/MR7MPYh7EPYx/GPox9GPsw9nkeg30Y+zD2 YezD2IexD2OP5z3Yg7EHYw/GHow9GHsw9niehD0YezD2YOzB2IO5Ps+nuD7M 9WGuD3N9mOvDXJ/nXVwf5vow14e5Psz1eF7G9WCuB3M9GH2er6EPow/Tnudv tIeRa+uRyE/Zn8LIyVdZX3keSX4Fk/9o5TzPIn9BTn4Ck39IPZMhv4DJH2Dy A5j5prXP8zGY518wz7e4HnIYOe15vgXz/Ir+IWd+aNvz/Er+H8PzKfzVynke xf9De/n/Dc+f+D9pz3iCac/zJ7kfBn3GE0x7nj9xf9Fnf0E+zf5AzvcM40fO /wztyXcZbzDjU3v/tOsVcumvgfEXZj7CzHeY+wMzvrGHfdYPmHgOE28ZLzBy 4iNMPGO8wMiJRzDxBCY+wMx/7j+MnPnP/YaRa+sZtfeTeDDRNumQXZcshfo2 v4V133qapynUm0VcXZ1Z6kK0Qv3VjtJv3LasDlWopxrlaW5Ux/x9nm+op/nZ w8b9fMhjhfqtTgnXuw3cG6FQj0V90padzp7H7+Uo1Yckln086ZBCvRTjBeb+ cX3ye/bL5F9wiT+GHynfLEfhfJDzOPynHqpL8nVnR4schfacL9If7JXau9Ey oOol4cvrIucOPesn/GqA/T3d03vC/D8w/sP8n9r/C16lW7u3Y8ET4UivnJfV SyQKN9k1bHB2xWRhx7Xn9gd8kSLM/YNrTFtis6R1hjD3W/t/kk8y3onvxF+Y +019Jkx9Jvsp7gfM9dk/IYeRs19CDiNnf4QcRs5+CDmMnP0PcljrP+sL/sP4 S30p8Z31gngEc3+ox4Spx2T8sZ/g+tr8lvjMeKQeEWa+E8+RE6+Jx9QX5gzt czNlpsrkA8Rz5PwfxEfGD/Wx+E98Y3xSP8r6xvoHE/8Y79SLSr5hWK9g4hvz j/pM4i3rOfEfZvxTf8v6QX+YX9S3Em9Zj1l/YOYr9azMH+7fwU0rhj9vlSvx pPG+5f617+uL7Nc4D2P9g1n/YOzD9B9mvMH4DzN+YeIl3HRroNGE4+r6yP4V OftXmP0rzP4VZv8Ks3+F2b9q+7f4XdzxahvvK8a37s4r1TFL1tsNy53qnjBJ K7J/CEw2avxyo5r/D6+3vnuZyETlRmzikGENo2S9HLTyt0/1u4KL5M9ZQU39 7dZkKMXVc/7+2bUdk9fdlvXySZlmuSOcshTLqIUeGSNClG0Htt51X5ym1Ozt dW3+5hjFPfnHPxblRCuTM0Z169w7RSkZPfCQqVeoUrfhT9Vy/NOURNu+swoO 39LVtiiTMmt8juJ1XdetZYBeGekb/NP8Gsd1y8Y98v79ll7pm/ypS7Uxbn+5 fnTV3t3DYtbrlV8WbL2QMv+c4lrjUtvyy/VKWo+bLlP+uFBsfWnpWZtdrTvr lejU1KpbO6ryf7Xe9PS+lW5L3mVJPl79VLk1U2dnKm+m9FIqOKnt/9V6VMZ/ zZy2w53MoxW9ScBbl35qvh74XTvLsJwUpdmelUEDzz1WBuSU6TO9V4oSO2/Q FuNFf72etW8dy6+6vlTz/eLqW+Nm2G2JOh2vxptTHt9Vynis9H8ePPTKC7U+ 7R/VvxIfxnwS2Sba66niOGCHbV+TR7I/SCkdeG1ETISifNKrz7zVqv4/qpcl /qQ1tfp+f6c05eKC6tltX6v7h+Lqaav02n7odZ0AWa8GPF66OnjbYdlv/Lvr bSvs6dVjl3uQLvmrhqFBqep+16N2hd2b2ucqJ32iX/6xOkTWvyYz1vYfeUEv 8Zr8kvNEbT0u8pTTJ236vztRpD7XwauqzxA7db3+0HrdJpZOPj2/z5D9BOtt pZ9NF5ZorNZnF9lfpIQEeo5Xx/8/qu9tUqrKr59PSpT1lvX6/A+p/t/0Llr/ O/G1fmH59+szzHo91Oax2fL/oT6Y9bJilS9cLd4UrRdmf2K665DSakrR+uEH jSN+7brpSpH8JdL0RGDkvkzZr9gnn3Jcdj1HWbrYxanAKbJIvmI14Ulm2L5c ZeKdIW1vX9crbX6dFtQnfKdSsuYf60d665VWNT+9/ezKceVImZoLnSOzlNwn 9ms3WgUr0dtPdSmxMUlxs+gYEPQgXgnu1PCTc4lPlFvze52x2pOkXP7ixOye Jn5K5owRl0JaZioHp9a6ttUhXLewVpvjCQ65ytCStba1MwnXLVvy8/rSk99z r51fu5ZXx9O4MsdueFqpfG71nTkXXbOVVY0XltllcVc5ZR3pu7ogXVnRtvJM zyEPlbdm9qZGM9KVDfVvrRuzKkpRhkTp/AY8VZobe9g2GvdEWetaZ8X66wnK havW+9O6JyrHtzQcvjszTlnx6JX1mW+TFa/ty0deCb6nnH+dHtWvMF0JLDh1 Mq5XkNLOc8eBQ1fTlS6uncJOzzuvlLBxnlhmZJbyYNjc/j8MjtL1D51TITQn V30fcHv2lcNV8xTjt49muPXMkf4vu5MWeGCBj7LGtIV+cpq6XyvR+XANB98s Jaqxex0nmzOyf6tve8TjxR11/xY+vqub2031vOmbn72NXd7LyccjG+0Oin0/ r7vPeXPw6IxDOpdLnycNeJ8/vc57Omj2pC26ljOWtXIYoZ7ffPNZvabVBmYq Lqb3+v6Qqp7nPPAcUu2Hc9mynqeed394bVCO8ue2ke1vRFyU/aB72fmHv7yk V5bdqNt+wLwzOvTJT7T1+mWG6rd+fuao/B9mgyN/3l9jf5H4QT0845nrrdrz SVaLKRfU9ns/XzT5/GXhV+tMtnusuSW8dN3mwaUTbyr/aj058w/7lwc0PDyr +j25nqX1kdxKF+8Ln11Wd/+lglDh35dFLZlhpjLznevVmbCnZaNOESIfPiFp 6NxKkcL53Y8VNmsYI3y++9TomMHRwsQXqZep32aFm/1jkffb0PnBTNM44e2L dllYN4sXXlC4sHbDK0+EiW9c73ZW3EyjwASRP3Uo6dTYMlG4w5jJD0v2SBau 9ajnreiIJGHiLdf78e7BumcSnorceWBAq0cDU4TDu7R0OTcqTfjMxYpzXbNT hYnvXK/M0ZkB01+ni7yBhWvMpkkZwnNMnrWZOStLeNiOsPr9yqnM/oPrebQz cp3+Wa7IvfOrmCzpr/LIjB5+DoPzhPtatOlqa6Lyrcae+SPW6GW/vyJk6eAo e73y7f5SA+dVuir7e+zpG0xM6WuWL/pGiXNn2Q1X+WD0/jr97QqEt5lscbNs rDL7f65nVd3fyrzFM5EPCo281WG8ys8CKsxpaP9cOLnCq9SqbVXmvIDrrStp sbmw4wuR77rWxbS6g8q9zzvcNpr7Up0Pr77vlmmlMucLXC8mZ316VM9XIs/w 8ZibNV/lTYdC6sUseq3Gy9SrW/z7q8x5BNezeJLX/fTgNyLvsrv0ndvOKidu s3Q8s/qtcFhkw8y9w1Xm/ILrLQwasW2j3TuRr9pgb+a5UeU2K9wDXbcWCpv7 r/xm0XiVP/T9E+VRxqZx9fRyPrLlVe992/vole2ezx0Ca99QnIJ7bv42Mlu5 NO7Mi8M5AcovibXWPS+tV/ZX61rKrMftv/39lZYrZr31yshU7GwX2LdpFPa3 v8/y6vDod3fCUuT8Z3qdXf5/mKUow66W15l7fHzfRfu+y82SDevZRXkoVo4D F9guyP7b33eZUe6bDmuOqM9vX2Zm5R+boz4v5Hyu2YExn3c6GKfcmKpzPeZ9 VXGvPjzS8oZ63vaTzvM7pUWWsmb0oa8aTrop5233+to2OhEbofsyOmjYHm/1 fK3h2Bd5G6JzlU+Xv3BwXhIu52sbfvdptc5Lr5wdUC56iYu3ktDEeHPfKu/z wxdf7tj5W5AS1aLN2iYXU5UXa6u5Gjd/pHRac7layMxkZZbL1qg3deKVev2f m7d+n7e22m1sNiovUWk00iXfKu2hsr3m3nFxqSnKd3+MPfvtumDlVucOzm8m pisVQ/PLeywIUJ7/uLL6w60ZSu3d1b5eNi1Qd6W623D7/TnKajtz58lW6Yq+ 8bGKXs+jlN7eMy/Vyo1Vdq+ZkrzM46kS4/xpobV/uKI7v3xp4+Zpys5qc572 8sxQBvmZb522J0LZ3bvZuc1HE5WS6bfPBqxNUPb+sL9zs/fr+4oBpabseL9/ 0L5fRP7IfozzGZj9KMx+F+b8B+Z8COY8AOa8CcY+53PYh7EPYx/GPox9GPsw 9mHO47TnbzDnbzDnbzDnbzDnbzDnbzDnbzD22b9iH8Y+jH0Y+zD2YezD2Iex z3zEPox9GPsw9mHsw9iHsa+t52B/Tn9g+gPTH5j+wPQHpj8w/YHpD0x/OA+g PzD9gekPTH9g+gPTH5j+wPRHWw/C+QP9g+kfTP9g+gfTP5j+wfQPpn8w/YPp H/Gb/sH0D6Z/MP2D6R9M/2D6B9M/mP5p61E4f6G/MP2F6S9Mf2H6C9NfmP7C 9BemvzD91da7cP5D/2H6D9N/mP7D9B+m/zD9h+k/TP9h+g/Tf229DedT+APj D4w/MP7A+APjD4w/MP7A+APjD4w/MP5o64E4T8M/GP9g/IPxD8Y/GP9g/IPx D8Y/GP9g/IPxD8Y/7fMYzv/wF8ZfGH9h/IXxF8ZfGH9h/IXxF8ZfGH9h/IXx F8ZfmHyD96fxH8Z/GP/l+zAG/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn/t 97B4nsb7Udp6Nc53aQ/THua8kvct0IfRh9GH0ef9DPRh9GH0YfR5XwR9GH0Y fe37mJx/8rxB3gcxnO9o65k4n+E8BjnnKTDnITDnGTDnETDnCTD3T2uf/T7M /p3xpq23Y7/NeZq2vo79MOMZ5jyP/S/jH+b8kP2u1B8a9rOcf7JfZb7BnM+y P2V+wry/oq2f4nkS91NbD0e9POND+z4p+w+Y/QD/p/b5lHa/wP1g/sLMX5j5 CzN/YeYvzPzV3m/ydZj8mftLvsj9lO8LGu4f+QX3i/Wa/5/4yP+h/T4e8516 Gb5fR70J9RvUk1CfQb0I+3Pqu/geF9/XYj9O/Q31LdSP8D02zgeob6F+hPoV 6sGoT+G8gOch2Ne+X0o9GucFA8qXTzKrro4fGP+lfsugr32fm/8P+9jj/4C5 nrY+EznzAeb+c/7GfIepD6Lehv4Qz2B5P9cwP+X9XAMjZz4jh5EznuT9XwMj Z/whh5EzXpHD2now5DBy6n24H4PXnC+R1D5P+IVTxtGQr/OFPRaYjrzSvUC4 95zBpbz6PBPOmrrUa8fA58Jbxp8ctdLmhbDV6OTS80a9FE4c8oX3xLGvhNf0 6287dNJr4XbdF5bt9tMb4ZiOXj4tZr0VdmodZ2cy751w8ybVjMv/VijMfOD7 idxfvm9IfNTGQ3n/zTA+qfeEmW/cb/menYEZv8wnxh/1lTDjAX0YfeovaU/9 Jcx4ke/xGRh96r1oT3yR7+kZxhP6MPrEB9oTr2DGG/ow+sQbmY+G+k6Y8Yg+ jL7EL0N77p92PqMPo8/918YLiV+G/ETOdw2MPvOD9swPmPwFfRh95g/tmT8w +Q76MPrML9ozv2DyI/Rh9Jl/tGf+weRT6MPoMz9pz/yEyb/Qh9Fn/tKe+QuT r6EPo8/8pj3zW/v9R/IT5q+872eYr6w/8H5dQGnbU3miz/t+6Mv7f4b2Ro5r zDeNUNnWYlDPuy/z1e9PGd7/Q1/eB+R7pvGVJ5bdqXKV7cFOipX6PiD5NOOV /IT5o62/Z/3HPvsPvn/Jesz15X1vA8v73gaW970NzP6A+UC+Tv4GM5+op2b+ yvMjw34OZv5TTyzv1xjyXXlfwsDEO+rviY/kv+w3YeIr+Qv7F+I59fPEc/rL eRzxhvcH6B/nGcRT3iegP5wHEK95v4B8m/EI8/9jj/+D6+Mv18Mf4hvnrYwX 1jP8Y33i+6eMB8aLjA/D/eU8nXjH/eT/o/9cn/mk/Z7Ix3rh/9v1wtyPgO4u d0f5ZhWpD5b49R/6fZd/d310cd+LKa5+urj6Z219c3H1yX+1vlhbH1xc/e+H 1vcWV79bXH1ucd/fcekUtunkwou6L4xDMv0i9crOp9lOvtfO/8N63I/f6/nP /l5PcfXY/9vf82G9le95aeo9i6sP19aDa+u/i6vn1tZvF1efXVw9trb+Wltv HbWuxLLzbkXrq/c0Wud8Y5/6/Wbt+Tz1str6a+33j4qrx/7Q7yP93fXb2nqj 4uq5i6v3/f9W713c944+tB68uO8ryfes+L4j39MzyD/0+0rF1ZPLebrGvvY8 E/m/vf78A7/npa0//3fXi3+s//5Y//2x/vtj/fc/W//9V+u5tfXWxdVDc54S 7Rdn+uCBXpk63sbJ2/OwrA8fv6f38Xt6H7+n9/d9T+9D6+HRj1s0+PmUiur3 nv881uKO9blspcbKGt2DF6+Q83XHuRaNN+iv6Z79umB5Zt0c5eDkY30uP1Dr KThvj/xj7MXG1XP+39XPa9+H/Kv19PK92SO255cVzNF9aH299n2F/wLE9Hm3 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlulv1VUQhqettZdCS6GF1oJtabG9lsIFlK2IigIKAlYUrVoQsQgohSJV qywiigv4ScB9F9y36F+gcYlL4hKNRqPRuEWj0Wg0Go36vp7nJvfDk985M2fm zJk5Z+4dt3rTso3FEfG1KBHHi1limjhRdIrpYrQYIUaKk8VsMVOUiWJs54t5 4jCxUfSJDlEuSsXhYihf2y0Up4qMGM4665eIxWIYa4vYw3tXiEpxhugSVcyH YF/N3P4GxCQxVdRib329GMWZxvC1/lzRLerEhWKVaBIN4gjsVogeMVa0oGsU rWKcaBYbRE5MEOvFOpEVa0SvGC/axVHYLRdniRrRho8WYj+atX347cBva8Ha I4ljkH2PIcZGztdJrUrIQS1nLiK/pdStjDWl5NI59V2YTv7z9SunbkOxGULO K6jbcHQV7DcC+zJ8VFKHvG409SjHtpLaVjPfLPrFZDEj0t0sKqhfPfVpIBej CmT15CGva6ZODeS4mZqPIS+rkDeyrpU6NZPv/Lyd2rRSj3ZqWEvc65C3octR z15kLdhbNpH96onD93YK8hz2EzjzNHJZTF1cr51iQaR3V0Mc1ehmIvfazgLZ bOT+HsfYuZ3DHn5fZ+LPdidhZ90s9rfNPHz66/efIZb56MvQZcit35Xv/1z2 moG/E4jR98Z3axjfhYyvFYvwswi5x8uI1X3Ad2UxY3+XMM7gy7EsRW6fu5h7 fB2+qoj9FOy89nTkzmkXOeli3xp0XexfS/7rqLXfvN/+TeJizn52pDdv2+uZ e9xEjhrRn4Mf3wnfUfec8yL1Kct3M69Ddj5rTA92fjfuBzn89rBPNzb5tSuQ 3yBWIrfsAuQrmY9lv27O2kLMPtdq6tvEuddydssuYo3vsd9GB/NefLQxzpKn NeizrLfe/c99cDI5Xk4sOXSW30gcjuGSSP03y34b2P9mdFn0l6J3//RvxST2 XI/c98P3yXfT9+40ZO+LA5Hu+5/iGXGl2CquIu+DjKfyHUTudZcj/1s8h90A 8inE4flEZAOsz+HH+p/Eo5zHa67A9ndRpIaxJeL/xvGSPseKYo1LxC0a/yte ENeIH8Qhcv+LeDzSb/gd4iPOfI/4LFJf+E08KS4j7/3EZd/7Ivnfg48O7HeR N++3nXjWUo8sddjD+k1iL759pm2cy/ttRn6X+CTS+9xbEIv1W/C/X7wYqcfd Jj6I9LZ9H/0mxzN3f8ngy72ginP6fdZwvu3Uzr52Rupvlu1A7rfi+9cU6S36 Lfm9+B37rdaxvp/Y+onVY9+Nq6nvY+Jn8nGf+AIfj4gfyZnreSu2r4lXI/13 e128EamfviXejPQ/7gnxK3k9KL4nB09FuivO16fi7kh98AHxFef4XNwbqU89 JL7lrF+K+yP1oG/Eg5H6RB/7uBYfizsj9dn3xLuR/j9+KG6P1MtfFq9E+j14 VvxFLp4Wf0Sq/9vinUi/Q8+Lf8j7d+LhSG/+P8NVygQ= "]], Polygon[CompressedData[" 1:eJwt1PdvTgEUxvHzNv4R/0KLGLVDgyIqCIKoqCDaIIhd3cNo7VV7771n7L33 3nsTtX1PzvPD583Nm/e+997nPOfWzMzJyE4ys3TUwAxcQQu0xAZ8xzCMwDRs QwNMxFb8wViMx3lcRnPUxSb8xEiMxkmcRRPUwUq8R38MwCxcRyu0xg7c0PEE LMRjdEU3LMYz9EBPzMNddEAGluIleiMTa/EVgzEER3ACjVAb23FVz56LM5iM +rrn1fiEQcjGHNxCW7RDFR6gEzpjKv4pm1o4jkmop2tewhTl6Zktxxv0RRZ2 4Z6eJR+78VD/XYA9eKIsCrEXz5VFEU4rc8+6MfbhlbIoxiF8Uxblmu10pOqe KvDDYvbJOKbMPKuGOIejOm6KA/igWZbiID4rqzLsx1s9WwkuWnTGu9JMWV/Q sWfuXZyJNItOejdmo41FRzz7uWivGXg3FqG7RUc861N6ds/cuzEfHS064rNa gC6amXdpCXpZdMq7swx9LDr0SJkX6pwXyrRY53i31mGoRcd8livQTzP9i0qk YBwSCf+Ibvg5vmvrMdxi53y3tui3vmO+SxsxymKnfmlGyfquGpsxRv/hu7UK Ay12bCduW3Q1z6LLa5Bj0WnvYlIidtvnf9hiJ3ItOnHfooMFyvCpReeKlPkd i87mayY3dc08zey1RQdKlOkXiw6W6x4+WnSmTPf8zqJTpcrwmsU7wd8Facry t8W7xTP9Dyb+rgA= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNVmdUVkcU/O5aECGSgBRF4KNrRIkoIRpFJWAXAxqjaSpqCiaaxBpNN58p pJz03nvvvffec9J77733mXPnncePOfv2vW937507c/cr7VjRvjwkEonBlkj0 wLgU4wagP7AYOADIBo4GegHpQAnQD8gCuoDeQF9gNyATGAQk9X1zYBOQAtKA Ur3bAhgKDAQKgSFAATAAqAByFEOlxlygSmMeUK0x3zz2fK0vBjZTfFtqP55R pjOZS5Hi5O+agBFAHbBcsdcAW+tsnlmrfZn3VhqTWpdUTnUaec42io9xNWgP zkfqezkwUXtxj2E6l3FN0Hn8NlzvePYYccScttVI/lYo3rHAOD1zv/Faz71G Kxaub9R3fttOcY8UH0WKYzWwUBy2AKOAemCSRnIzWSPzm6KReU/VyDNndotr Xz3PAFr1jrFMV27MaZbeMfa5OptntokXctaukXWbrZF5zNHYDOygkevnKVbG uKP243x7nTNBOVWo3s3igznvDExTjNR/H6CnuebpA/qBuqb26YH9gV3F5Spg gbnG1gId5rpfAywy98Y6c49Rl/MVI/mj55aYa/VQYJm5junL3c39cCCwh7kf DgL2NPfDwcBe5n44BOg098VO2pv5HAbsbe6L9eaez1HO5eKCcVN3RVozWnWK /Fates5UTZkb9Z9UPmWaZ2vPMuVA3UZeH6K9cnRmucXertJ8lMW+4VinOKYr LuqVeq5RrMM1Z+y1mke+rbXYqyOU/1DFFPmZv9tFtcy0uO9EfahSsXIvame8 8hhjsc84Rj2AY4PFvuXvIv9MUnzco1HrpqlOPKNe+TOmiTqvUuvrFVeD5syJ +m8ST82ac32L5pGHWyz26hTl3aQzIj9PFv/Zqg/92qp6kzfqp1D70VdzlQd9 NUuxtmke+bbNYt+26xzqPvLoPO0V+Xm2YuXe9DQ1Rh9RX/TPIr3LUv1KxB99 S72vVC0zBXqTuj7c/K6idtjjFmqPqVo3X79boO/U7TLlHfWXOYpjsTgiH/uI E+qEPs0V6NM8gT7NF+hT+uAI8z5OP200v4dq9K1T5zeK11adt0R1IR/rFAvn S3V+P/FRrFxXduNgVbf8Vuu35HKt+NzPvF/PEDdrxM8wxRHdM+MUcw/8gTjL vG99Dlwm3vPw/mHl8AHwDnAs48f788171dvA68AxwA/AqYrvG+AUcx+W4PdP iJe+eL5b/Kbh+U7lfBRwApABfAdcqVw/Az4CjhNn68XTL8C14qAA+1xo3mvv IwfB63Qb0DP4unO4d/AezFx7Bc/3DsXBGHpjPFtn3EOOg9f+IXFBHph3/+C5 n8e6Be/fvwGnqR4PMMbg+jiX9Qne7zODz/mcHjymDYrxduVneL7VXJf/AjdL I7yreIfx/tokvjLEO9/zPkvpW4be8RvvvCP1Pk053WueFzW7UVp4HhgcvAY/ AS+Ya+4k4H3zO/JE4C2dxfweNM+Rmuiy+B7tUrxd+pau+qUUG+tzv3mNUvrG tZcCrym334HrzfX7F3CjucbpY95/9DJr1Sd4vagt9gX2hE5pgb6jD+jPscqZ taKPs4LXL7p7Wc/I07x3C8RXSjmV4fdPibNKPD+jvf8BzjD3Hn3wpnh/FbhE 3N+iurKmrwAni4cvga+A44EqfH9ZsSbx/KLyucvcM/TLG8CHqmkh3l0kLsrx /JJq+bX25Z7U4x/mmrxBPJJD+vJ7c2/Sr7+ae/Zq4EfzfnOFuQ/pwcuBL8x7 wjXm3qPvBuHcx8175+nA3+a95mNz3bCm16mWrONN5pruEGf/ibd3zbVFndDr n0gT5OlTccX86Rv24+eA6uB9jpxVBOeN/ek9c809qzqxRuSmNDg/5PVncUuN f2uu8z+VA+O/gFoIroNHgAHBdVeM8WLzeyKB5zPNezd7z8AgzWF81Pz3T0s3 1MyT5n2QOuW6EHwt+b5KnD8mTslnbvA4GAPrXBS81v8Dy70rkA== "]], Polygon[CompressedData[" 1:eJwt0/svlmEYwPHnvR2S1xjLNMa8Y+kf8I/4mXLIIfS+CTmESo1mSn9EKmc5 VeQQQmF+KSYWNpKhMca0Wr7X7uuHz677ep77OV3X9XgyfSle4zhOMvxhSPpc jpOFcpyhE+koxQt8Qx3qcYDXSMMdRHH9ODEf9xFE/o6YjUqEk48Q81CNUPIP xFxU4T96kIkynKAd11GCv+hGBu5iB3t4hlRc4n5jxJuogZt8kJiDe4glnyIW 4iGiySeJBXiAVhyhGNfwBQnseUT04Tde6bNkzwpW0YCL2MImgvEU69hAox5b ww/dK8d6XVJ0W2v55p/Y1mvdmEE852uJXnzHstRVn9mFP1oL6VELDrVW0pOX 2NfeyDt34FR7KTXdxS89JzV8g39a+wztdTOeaM+fY1F7fwFzuML7PSbexifE GFtbqekwwozttfQ4ifW87i1CIvms1lbu4SH/rN8qNT9Gm/ZCajCKCGN7KzM0 jTjyW9rTj4g0dvZkBoYQYuxsyQxM4LKxvZYZvcr6q9a6CUtY0LV8cz/82FPh sv/Ee+mdsbMkM/0WgcbO9g0EsB7QtVxzDl3mcDo= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHecVsUVXeY+BJFiSWJix+5SLYBSdinCLuCCFCkrK9IEsmFBEBdERSxo EESwo6iIgooRURNQiWgAxRp77BQLRVwQG1Y8J+fs7/OPs3fevJn7Zubec+7s 13Do2N4VKS8vb2ONvLyAvRZ/DgWWoHMdkA+cBHwKNAZOAbYBzYBWwOdAE6AF sAVoCrQE6sNHA2AC2puARsDJQF+gO3AGsB1oDpwKvAUsBi4H3gUeAK4ELgNO AzoArwILgUuBD4GrgenAa8B9wFTgfeBB4CrgDWARMA3oaD+tgR1AFVAMdAba Au2ALrYFQJFtIbAe+BhoD1zjtXQFurnd0Xui7eS90Z4OlNjyOz1s+Z2etkUe y3W1Af5u372A3r/7Th/b7vbXxut+B7gfuMI+pvndWV4Hv19qX/QxyDHg+1nA AGAwUOa+fkAdxG1voD/aM7wWjjvbPvp6XIn3dK7fDwSG+xv0d519jwBGAUOA obYDva6Rnl/9rtTfOc9z+W603w0DdgFf+Tu3Arck5djf/B3OG2NL3+cD5X5f 4T6uZa77xyXts4djUhf7jtA3vwduAyqB8fZB3zd63gXARLf5nQttOZa5Tw7w mzd7LP3sFZozCbgdmOd5c7z+cu/zbJ/jPcACYIrPYLTXTz6ST+QVOUhekp/k ILlITpKn5CI5Sa6Rr+QtOUSukA/kDXOGuUOukH/MH3KROcUcY36Ri+QGeUlu FXgcc5H5Sy5eksQR+iUXOthvJz/TV2fPIUfJ3cKU4x7fMWeZh8wxcq7IY+iL +d815fjWLeX4Vs2LEj9X860k5fjG5yq3i+yLvOiVchzrbV99/cx3zNUB9tXP 66Ov/n6+1u2eKacdXeyr1PP7OKal9j3Iz/RV5mdyrsw++T3m/mCPG+b409cQ v9snxNWZSRpLnc63r+Gew/nkwgjPGeln+hjl59KU4yW5NdpzOYc5X55yvOLz bPsv8/wKvwvnO/3WC3HphiSOMserOURLnpAL5AS5Qa6Mtx/yaaL7q3nF531d U25C+4Wk+nRiEocmecxDSTWD+fIz8FMSf+4G7gQuAnYncXs+8BRwVxK/yv09 fp85TI4wf+9Nqjnsu977Pycp/8mXto5LtWYzr8kHcuGRJA1lPP+RVD+Ydw8n aT3n/CtJU7hf5g/5VWhMtx9y801/j1js7z6epB1c+7+BpUn5mPmcGI9/Jund OL9nvjBf93gs87aGY8XYP5ak3Yz/iiT9qvQZLfAZ/idJf6m9Tybp5GTHap5j 8QzwhJ+pM68nac0qYLnzYnWSDnJerVBMKv2NO/3NNUk6OMWxvdexYEwWuj3B /sb7G4scn5eBlY7xVK+DMV2WVP8GO5aMKfOZmke9a+e+R5NyfZZjOcAxZJ51 8N64x0k+h7XAHT7XpT5n6uISx3Gtx/GsZjgPejkXmB9dvY/lPhOewVPe+1zH u9zxWeb1z3HMRjgOK3yG1GzqNXPqxSTOkC/7h9onJOXps17jc17fZMd21e/W strrYW5Su5mbT/t8ZvuM13id1JAarqHXe9xsx2ClxzBu/3VMuJ79QnxmLjzj c+UaX/E6P0p6f5LX+7zX/JJjTN/kxNuOIXObF1rGocrPPb32D1KOVx97LxuS 7nnsK3J/se16t3mW7/kM1nlNPM+vk+4lwx3nDfZDTf7Ea/4sqWazTm9Oqtkt 7Huj/TdxP+t4I8/P9zzOP9nvN9sP6/oWz/sO2Gk/7Ntq/6z32zz2y6R7AO/b X7ifd4Lm7udY5j3zpsDvOa6l97HJa9huX618rjzfM213uL3T7WKjyufKM2J+ sL4wR9j+q/t2ub3Ve+B3yef6/j+isc+CZ/Ooz53+mPPU88m2u92mVlH/qSU/ un++7Q8es9FnV+x3nF/ptXzj9dAHa8nFSTm1x3tMoT1wTOZ741i0f/V4fp8c YP8o9/1iP5yXrLl8n7l21nSbfviurnlEPWW9ZI2gTrJNzaG+8N7Qz+9ruabS 1raekkPfJvGotsdwLnXuf453mf1QC1kf6vj+T7uP+8M1fazH1nE/++q5nzXp CudRhWM3xudT0zWJ9YQ1j3u5Dn1T3d8Z9n7fZ36B/SGUZ20y+AzpbCu0J4Xi vxv2m1COtkD/WP/fWgW7LcSTo2F/DuV8O4y5OqRBx6I9IqSvrdGeFtK5X2Hb hTS+Jvrbh7T5QLTPDGkw1/iA11kX/V1C9eFm2O4hzWuA/uKQTp+A9siQRhWg 3c1jzgrtn3vvTR/Oh4Mwpk/oTlAb7Y6hWvEHtHuE9P5r2B0hriyFbRWqh/O5 p1COdQrN59wEWxjiZQ20s0z8PJbxzVSreoa+Qf9Fob1xX+PQfjJU8yp49qEa 3DW0T+4xYBtn4kWH0Nnx3M4L7Z97Hx46d575AP7OkCkX7kL7gJCW8iwamAt9 Q2fBc1iB9mmh+l8Ge0Qm3h8D+2Co5jaBzc9UL3uFYsZ4jUL7uEx3wCFoH5Vp /Fa0PwtpK9fSP7SeEq4nE//nMiahmjMUdrY51R7vzwnVq3JqQOiOUg/9F4Tu CjNhm4fuZTfCHhM6H46d4/H7YnxlqJZzT4NC+xoW2hvXyfWe6z0+EYoBz38v 9I8P3RsOg/0wVGsOCZ0pz/Nw2E9Cun0L7PEhvToCdkuojhwF+31IzxuSc6Ha sTf8TwjdUY6E3RXS5D2hnGA+3Mr4mvvzYBuHtOU22H6heyLjM8Trb8H1hjSJ ceadntr+Eex7oZpaiO8ODN1BxsAuDNV73gd4V2Dt/RR2Q6gu8e7AfurbOj+z braFXR/S+PwQz8nxqxiXTDXg+Ex5w5w5GO1LQvdlcvFi85Hac3tIfw7DmMtC +nU02leG7nNTQmfBc/gz+i8K3dUaon156E52DeOQqQZMJO9D+vlH9E0O3eGO C2kc9Y15z7Xw3n46+h4K3Xee5bmG/h+g/n0X0sDWIZ6QI9+GYsZ4vQT7ckjr X+D5hX43WgO7OvTb23M849D9aSVzNnRfXwX7dOi3tBOxhumhWsr9/SnTHsmh zeYR93p4pv3ybI7MdD4FIW2lrvL8Dsl0hjzvv2TaJ/X+p5Dm/xjKS+ZkS+Z7 6L5HnXs4pHWvMo9CvxfybJb4fJaRf6HfCxvBd1P3P87Yhu6dyxnD0G+HjUI1 hvFl3dgeqh2LYReF7s78/gyv4YsQf8gd1oELQ7WAevxVSJPvgV0QulPvDPHq /7/LZOIhOfh5iJ/k5qkhHee+XuPZh+6azPFNznP+Lss6xxrHfNkvU868zXiG 7rXUkvqZ9OT9kBZQB8itD8yvjSG9oFacQp0O3VkGh3SNmvYu8yX0O2tpiJPk I3WxqbXxTeZF6DdX1j3WNtY1akatTLrRLFR3WXNZH6iD1EDGhDnNuFDD8jLp GLWzTib9/A0D28Nz "]], Polygon[CompressedData[" 1:eJwtlnmwV2MYx3/e52S7c5tLtI8mgxJKtyulREVhLJVdtsnSZLtjTIaREsqV Gyk1qGhR1tKeFtJO+6qkRYqYRMqSyvL5zvf88Znzed5zfuee8z7LufW7lXd5 JBUKhQrIYEAUCi/Bhyw+DeV4K/g2ee1nfC+U4XvgJvw2eB1fACvxWvA+vhnW 4bXhA3wL9MbfCF/7GFyFN4XP8EEwDr8AVuJfwhd4TXgP/yr52gYwJfk3zfBz YBb+OazFV0M//Gsow5vAXHwFbMdbw058h94pfI3OLYcD+EH4CW8Ov+H79UzJ a8PxN+GJ5L+5D/8lvBe6ZiFeA97FN0Ap3ghm4vPgT/yP8L33wgh8DCzBn9Q7 4dVhvPYOzsfPgo/xT6Ga7g3LtBfwKj4IRuNjtEf4BuiPfwM98AfD5xbBi3gp iT6K/wsziE+FcfgamISfAmPxVcm52xi+l3K4B/8BmuHfw2h8FCxOfocG3Pte 4rfwUXoGfEv4WbdBX7wrLEzek7/wQ+G9uBDq4INhPv5C8rV3wfDk3/yo3IT/ tmpwK74tfO9S2IXvhl3Jz3hrOAfae9WoanNNuDZUo0PxYeHau1OEa0q1pL+p vS3LvFfa4yPEh8PPug8ace5+4rfxOfAonljbr1zDK3p34sP4SDhX9Ud8fF5D zfHL1HNqQo6nE9+hHiGeDbfj9Vn7JHntZuLTiGfgw1QfmWtItfM3XI/XYW06 /hrcTXxG5nuNgO7ql8y1rmfO8IBO+K9wH+cbZn4X5bAJ3i9870OwKZwj5WYr FHH+cuLKlNcoPgf6qhdhfLin1cuqWdXa3PA51dzF+H/wEV6RPGvUo+pNzZyj +D/hvW4BC5QbeBZfDxPwh9RTyTPjWtUzzzRVvQFXEJcQT8ZfhvaZZ5BmT4ly AFer55Nnyo5wDpU7zYgWXN+FeAie8tx1C+dSOWxJfCPHocRVOHaCmqxNIx4M 7fCnWCvHizk2Jj4PHiD+PbkXK/SOyT15KX4saxPUq3Ayfk342gOqaeKRxL2S f9MOP4G1ifgA6EBcTDwJHwht8Z7h2i7ieAkckznXqlHNmvnhvdTMaRh+Z72r nrFPeM9K8neshXcOv5tqrC7xDeFaU03Oxi+CZ5Jzqtm9HDYlz/Ah+MOwNLnH p+jvQW/8HfV8eGZpVmlma5avD387NNOX4avC35bnYSI+OTyrdI+p+MzwLOsD i1V74W/Hc8m1OS88W1Wj9Xj+W8K9pB7T7Nwcrm3NUNXaovAsV81p1t0T7iXN PH0024RrVzk7kbh9OBfKgb4FS2Bj8jdBtaacKpeqOfV+ZXi2awYsDT+znlW/ aYnPCu+N9nRFeA/07trTs/MarJLX2JnhmaJZop7WLJ8Gq5Nn+vTwHmlvtNYr XKPFeY1Xx68L945q+DjituFaVI2N1f3D/xsoh1U53zFca+qx/uGZoVmhmXcS fmW499STj4drsiifGd9x3Bn57Ib/ATsmMP0= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnnc19MSx5/0PednF9lDyL7v+77LGol7s1WSrfJEpVSkjZCoSIRSiRYt 2lNkSVpVSFrsW5H1crnuvZ938/m9nv6Y5nznzJmZs81nzu9pj8YtL2uxUUVF xWr9U138v0VFxf9EV4t+E50tukh0ZqqoOEf8YtG5ap8nfqnoylxRcXypomIv yeqLdhb9m3Hi54pfIrpM7Z1Ev/MtfqF4fdHJah8n2lF0gaguuqLz1T5fvJ6o gdq1RH+qfZX4LqK/1G4s+ofon8Qq2W6iv9WeIP6K6A+1r00xF+Z0o+gaZIyR fFfRf9QeL97A8uuKaF8pamLbDZk/8YlfLrrBMtbneuteJWpkTkxvEodooqgi hd+mom6i9qK7Rbd4DPO41Ryf1VLothDdbB/otbbebaYmjuVO26Kvlegmj7vD nL7bPf9mopaOhe/TUvhpK7rLPum/bwNZe4+vFHWwjzs8h8oNfF7nWNvZBmM6 WpcYO5kzjy623c4xlde+q2X4rK7Y2ojfK+pcRLutfTazz+6Og7jGiAaLnmfd U4zrKXpwAxsPe274nyydSaJC1E/fD1j/Ieuil1LI+4oetb8eosfM7xc94rjZ 2162zffjG/h/whzbg2wPn086JsY9ZVu9RQMs43uoqL91+9sGY562LnENNH/M a9DP/ns7ru5el8cdS0nz6iP+rOi5Itp9PZ+O3qsh1u3vuXZw34v2jc9NZOcZ 8RGiURvYG+75oPeKaJjoBdHIIvTRG++50TfW8eFznDl9L3u9mNNo2+Z7gu3h Z6I5cb1mW9iYkiKuKaJp9k2MUx3vSNsY4FinSX+qaFPRdOvi81VzYnndtsc7 7ic9fpZlzHWGdTmPM83Hek8GO/43rDvB6z7Ic5vjeInxXXNin1dETMTyjmiy 9ZbYFvlmrnXRW+yY6FvkdSH298zpW+BYiXG+bfO9heb/lvj7oqZqvy3+gegB tReKrxY1TxHHMlHrFLEuF1WmmMNHrE2K+D4X3az2bPEPRe1SxPqxqGOKua0Q PZwi1k+K8DPTcT+aIu5PRZ1TxLpS1C3FHFYx5xRrgo9+Keb/WRG5nLxCfllK PMTBmRUNFH0j+TrRd6I1om0k+8rfYBzYBYb9IPrWcnANDAQLh6k9VPRjEfgI ToKXP4u+97jBkg8SrS0C18BMsBO8A9/AuV2NXeAN+AjOgDc7GjOvEP2rCMwE OxtL3kj0ZRHYBGaCnTsZe5n3zsZM8AlsBAPBrdfUnimqYZwcb3yqZVwFw3Yx NoJlM9R+VbRZClvXe03Jj+Shh2wXLAKTsAW2NLUeebqZ50Z/Y/eDDy29N802 GIOshXXBOXBtoxS42LwILATTyth48wY+Km2X71ZFFT6Ru8qYCwaBSaenwL82 9tHafW09t85FFY62ckx3uZ8Y2/mb/o72Ucbysp9O7iOm9h5T6Vjae30be05t 7PPeoqqeuN665O9u9tHD32DXRONTe/d3dR9Y0Nu+7/eYbpaBKWBUL+9fV8t6 2T/7WcZMeM+iCvOwm1PgYp+iCnueth740s82wI0y7j3hvnb2h/8HrNvXcZTx jTgG+HvjFFj1jNe6i/cG3+TLZx37Ux7T27Hw/UsR92+dfYMv5F/u3rmuTfFB Hh/q8S/4GxvgyXDHRP+QogqfxtrHcI953jJyPbmc/D/a/sb4m1jBlDIGwkfY 9njbxfcr/i7jx4yiCucmeAy4sB4nUuDcZI8j389yTBMsw880j8H/dH8T72v2 8ZzjHeU4XndfGf+mew4z/E2OJR+/51hneQy5mvxNHicmMGK2Y53jb3yT/8EM 8sp0Yww2FttmGf/mFFW4tcixgg0LHN8ifxMTuFDGyXn2wXossd0tU2Db0iKw Y6XHgE3gGzGAX8scJxj3oePf3PkPXAQTwUbaYN9HjhNcW+64wcpVjpN9eNOx gHGrHTPY97HjBNdWOO4ZHkdsYOhnjv8Ex4/v7VPgAVhQMwVugU9LjGtg2Uxj xNdFYB7YBbahx70An8Al7gf64Bh3hu/tUrz9LrIeePZTETbWeTxz7Ol5vmec amACg8CK2n6HgQnkNPCl/GYD7xpa70/38w1O8bbaPcXbCUw4JMU3GHCoaI8U 7wPi+MXxvW4ZeWuedcnZe7rGJ98cL360aGvRYSn6yGX7p8hr5JUDUuQd7ugb KWrcEd7vzXxW6SMvcacXUAsZT99KUT9y9heJLxSNEo0UHSTax3xLn8Mjxff2 vh6Y4pzhZ6FjBN+PEd/Xe8z6gc2s4bEp+mr6LOyQoj5g37ZNUYccLl7HOZR9 38bnYL8UtQV1BftG3cC+gfnUIuwPa8Ha9PVeUUM09N7unKr2jbqBvSPHkx/J hexbbdcV1bx3Tb1mdbzOrOteXuejvDZL7XNP7xe4f4j3cguvFevDehyc4jzv 7bVDXl5f7NTxvvbxvPe1fvbeJ+/z4V4f1uRkrwv7c6R9bu0zw16cmiJW7IPX 1A9tnR+OSHE+anpftvH4E6zPuFM8T+Z9gOd+Ygq76Jxk/fd930+0vLrPPD7n pzjf+Gbtr/S5oB490/t+Vor2+t9qiqhZ6cfGGbZTN0U9Ws/jGMN9px5FDk6e lwIrqVnX/+aToiZeb8/24Wdbzri61qcepcbFHmtaL8VZQ3ah/V6con4t17u0 63qO1GfUe+gy5jL3X+w2uY9a+QKf38tTnM0zPLaNz+kVKc7ppSn063vcpfb7 kvh1PqPr71aKe9BBvH2KHI296x0P95m8+kURnFr8G+cr7HD2bxLdmAJXvrYe Ok0tZ3/f9jfnFllT678s3sTnrYntf2mdZh4LJoFb2Ggh3jIFViG7xXbgt7p9 m+Xo3CneKgVuIbvZ8jLmzbZN2mAh2AYu0k8sN3gu2Ki0HXRb2M7tbi9zzrgm RU6vtN9lzjENU+QVMLSN7dzlNjgKLoKp4Cmy1paDm528L8jbeiwy+sBR9u1u 68/zmLK99pbD29nOvba5wnbusfx+8e4pMO6+FDhN3dA1xTftzm4z9l3PhzWb 7755HtvFOmA79Qf92O5hO6zNHV4f6gPwdYF1ujmGbo4HfbAXHeqJhln5ohS5 8KEUfcjHij+f4u35m3QOybH/yAZbztsV7AfXyYsjUuTf0SnO+hf29aBjaGQ5 Z3KQ7WDjv7J9VI61/EP8sBz7+Y343jnOcjXFeEyO9RsuelH0axEYPtRt7A2x zb+ke0SOu0j/MOuslWy/HPeMNyy/+YJls1LUAfcUwfkmd76ZAstf4t6lwOlJ RXC+wWwwnDoJjJhuHXB8sX1g/w3bArtWy3+9HDi3TvyAHPfsZ/GDctyDKfZL /TDHsfFmA7/JMeAsGMkbnHcwtRK+kC11TOSPYV4v5v6C14H1OVp+Kkpxtlaq vSLHb95Hiv+d4xx/Iv5pdo4T/1K0ldqHi/+Z454cK169FGfxULV/z3GvvhL/ OQUGHqz+tSkw87kUZ4vzc5Dka1Lg6lnS3zNHLbRXKfzhq5H4PqXA4C1Zq1Jg ex3ObCnO2rgUc2NeB0vn1xz3oY549xxYuEj8vRw5mrqA3E3e3VeyNdn5UfyD HPmFv0tclQNvd1O7dinO9xLJFuf4O8CB4j/lyKFzxN/J8TeH/cV/yJFDa4p/ nqOO3Ea8vttzxeflwOATxTeR/Ue4w2p/mOPvEgvE5+f428Vy8Y9z5MQdxbfP cZZqeK85exN9Tqhj+4s/nuINwFtggNvPeA9Y/6ct53c28vJAn5lnU+gho/8p jx1oOWOx/USKt9wS+1hsjFvoO76121vZz5P2RbwL7IuzPcn3rnCb+g0+2fKZ 1meuaxxHOYZ+jo3342Mp3pDwRx1bX8tpj0kxN+b1gNeL3x7ApTGWr3Vuwk8/ r2H5vYpN3o29UuwVeXKx9ejvnaKvHEMft5E9nKret7QXmveynXX2yxmmzp7t GFi/RV5D6jbqN94m1Iu8gcFx1mam1/Nt5yCwmH5+g5vknDbH6znJbeY/13Ym OUe9myLXISePTbeMvin2w++A5HZw4+oc2MHvCdM8dlN/kwPX/96c4h3fyOMZ +6510KdGmu/5Me8lnjv5jBxKjqP+461ILh3tNRnlPuS8QebZTnPPfW6qysdz PcdqXsPmPkdLvG7Hai6X56hzj1O7QY53wFTPf4r9LHYM+B/tfcHGUttZbD3i AovGeU/fsQ7z2zZH7iPvdVJ731LU/RepfUwp3tC35/imTV68zrmxrvgupcjp 5MXGOXLjeeI7lcLni2oPzVFPDxF/Lkf9PUD88Rz1+kviI3PUyM+KP5WjHh8D FqSok19We2yOunkE+SdF7b2P2t/muDfnkItKkVPAhz2ctzuTq3K8WX4S5Rz7 Pln8lRw1dKX4qhR1dWvqixxv9O1yYAZ40U7t9jneSN+LihxnZnSOORD/VuKf 5aizfxClHHt9V46/MZPDvxNVz3H+x+eYG/PaCUzIcWZZsxe8bg+L98rxPgbH 7suRz74VbZTj/HQV75Ljt4HHxEs53tA9xR/M8Wbrgf8c7zPWeKDX+QnyfIp3 0yY5/OHrafFlKd5HF6rd12eAfevvvds4hz98XSLeKscbflPx+3P8XXyV+BY5 3hSbsd45aoRXxafn+Lv65uIzLGdPJnpfXhefleNdxP5MyrFHE8RXpnj7MG4z jwWTv0mByzflwGnanLvBPnuDxD9K8dabqva0HO+6YeLLU7z7OPsXer68m3nP gCOPSPZBijl2UHu3HG9iaqiZOeqoTTX2pBw5mHM6PMdZLUl+Qo7a9lTOZilw 62K1++X4PayWZOfnqCGI8ZkccdYW75gjFmJ8Pkec20n/7BxYwhnfvRTnnHsz KsfdqSHZaTlwmDUbl2PdDpf8xxS/Exym9roUvwHUynEWOYeX5chH5KIrcuQj ctHxaudS1NO75rCFnV1y2MIOtQZ1Bli6hWSn5MDAk8U3LwUm7YntUvy2VIgf l+O9sqPa5+ao8TmDT+Y4hzUlPyNHvdBM/MYcv3lwp6/1ve4j/n6K349OJ4ZS 1A37iTfP8ZsL96+G7yCyFpZzp3fwvX5bfHaOtzf3eGffZe5Kyxz35U3xN3L8 n5H/A5bVsT8= "]], Polygon[CompressedData[" 1:eJwtlnn4T0UYxb/pN++1Ji32JTsJIWuiRZIK2SoVQpQKoVVRVEQPKkUSRU+E RD2VdqR9X6TI3mIJLbJLn9P5/XGeOWfm3pl7Z+Z9z1u5z+DOgwrkcrnlIA+c HrncXnBryuVuBw/DJ4Nz4OeCEvBbQH34sWA0/D7QXGOgFbxIlss9Ap8ClqFX gq7wAyzwCfwLcDn6EPp9+MegO/oguhT8DN5fiZ6Prof+GwxFDwfHwxsxvgI+ ivEm6KNgNPo+cD78JMZnwmeB66VBwGuDofCb9T1aC90Cnnh+PPwhcAO6PCgK rwPKwhsz/gH8Nd45A30YjETfA06D/wEGwYeAU+E7wUD4jWAg/GRQUGOgIfwA uBN+l56BVwDHaS7wOvxt0Bm+j/VqwbeD/ujrwJfwb0EP+GHGr4DX4/veRBcG n6N/pi2fvMcfobfQlkve41N4tgpYCK8BqjF+P2gBbwl66GwZfwdeBHyD/oW2 QvKaj6EL6Y6wdkn0BfBSPD8bPgeMQ3cM720z0BVeh/Gl8DzwHnqz9jX5TvRC N2R8mc4WVEf/BvrA+4KfpGmPsl5P7Tl6A23p/PnPQ7cJv/srz3wH/wFchT6C PgZ+IvPPQG9Bb6QdQF8t2m7os7X3jD+OnqY7ji6Bnp78zoXosujn4HPBW+hN tGWSz6ilzpbxifDJoBO6NvoV+H7m/xG9Lvzt/6KH62xB5eQY+lnfF96bKuA2 eDdQFd4A9IZvDe/Fi7qj8LsUI/DWoKeeZb1Fmov5R6CvBNXRjcDfYGz4bFcx vof29/Bd+h59hDbLfPc3oA/qO8N3+yf0IdpjMsfWOvRhnSN6HO169FHaYplj fRP6X93DzHuxUQlFZ5N5bzejDyjuw3d/Lbqv4iNzrC4GO8Ct9J2eHLPdwzGs 2NWeDAqfuc66LrqA/gUUgN9E3+XhmFOsVQPXwstlPruXwGD0EK0Jv4Tnd9Pe oTuYHPN/JO+h9k4xuRUMU4wlr9EPXjrzXV+ivcw/M52VYrwk/Pbw2oXAneGY UixpjTHwSsopyTnzH7A7nCtW8z01mfsadE10E7AX/BXOLT/kOVargjOTY/b7 /JhQLCjmKsLHg1bJd6Q//EFwVvKdnwC/Nxz7euaB8J3SXdKcE+GT8uNXMZ7B H1UO1beip8GnhveuDX1dwh4hb9CdfgI+PTzWgWeegs8I87b0zYTPCvOO9M2G PxPm7eh7M5wDlfsuRb8GXwo6JefsOfBnw892Qr8AXwQuVjzm+V8L5++H/nkU fGR4L5uCffqPsJf8yPP7Fadhr1uDXgJfHJ6rg/4pc45WblbOnAd/HrSHX8oz C+ELwlzfoNz0RvjblaOUK5aju+TnjBVhT5QXqu9V+Csaz/M/vgR/Oby2+ubC nwv/q9a8KuxR8ibF+IdhD5V3dkvOxe20R8k5WV7wFfqKZE/4Ouwh/3uH/k+x FPbu4sne1ACMSPaoAszXFD1Wd0X3LZxjlVuvTPaWT9GXJXvMZ2GPl7erbxN8 PcjBe4EKzLcxzOcn1xbFQe/kGmMzfFt+LKtP3rMqvJY86GD4zHRW+sZ94TPV Wd6W7M2NwKhkjz4SzjnKNer7MxxzirXByd5dJ8zl4fLu2trjZA+fAi8YvvvK Ge/Ci4Zze6Xk2qQuGJZcoxSDbwiP6Z93hXOucq3mlJfXBAOSPT2XOecq145J rmUah7lqGtVi9cP/pppsTzgnKBdozR3hHK/crjnlnTVAv2QPXa3zVV5I9sS1 YU+SF12d7MUfhO+OPLlQZk+QF0yijcw5X7l+QnJtd5ZyQnKNVzyzByj3T6Ut mtkDlPv1jLzxzPBc8kh56znoJ5M99oTMHiFvUJ9qt7bop5NrOHlve/S8ZA8u j75IMZjcVymzh8o7FyTnat0x3S3lbHl76/C3yePlLRUzPyuPUa2zK7m2U81T HV0tcyzIU+XlqhlUK8jTy2T2FHmJYqxkZk+QF+ibVUs2D++VaspjM3uovFMx tC3sefI6nZHOZk34LHRGfeC1MnubPEC10/bkWlc1lGq9ncm1sWo+1U5/Jnu/ aijVxqrRVZurRlYtXTrsRaqpVcuWC9eKqmnvDtcYqi3kSc3CMa9Yl8f/B2p5 gnA= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0sk21wEYx+EfTgsLCwuLFi3+CwsLCytrt+ASXEBuoAuwkTkhkTKUMXOI QoYMGTOVijIUGTIkU4/zXzznfJbv+Z43lJaeejciCIIMkrnpW0QTQyxx3OYO IeJJIJEk7vGSv9RzSgNnZHNOI/9o4oIcrmjmkhauyaU/CB8SwYms44hajnnD H15wwHMO6WOfGn5TzR697FLFLyrZ4TU/ecYWT9mmh00q+METNujmO+WsUcY6 XXzjMV8o5SuvWOURnyjhM52sUMwSRSzTwSIP+UghC7QzzwNmKWCONt6STyt5 RNkskiw9zQyTTPGB+4wxzgjvGSWTIYYZ4B2DTJAShH/jP8wlXag= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{261, 260, 264, 482, 473, 474, 472, 476, 475, 401, 478, 479, 477, 481, 480, 402, 484, 485, 483, 487, 486, 403, 468, 552, 463, 471, 421, 469, 420, 470, 400, 263, 262, 261}], Line[CompressedData[" 1:eJwl0tky12EYwPHfXyRKJEQosh24BJdgK0uFM+dp3AuiItVMpOxUltBCsk3q JqSSLSTFx3Twnc978Bw888ybWXu7rC4UBEGD8j1SdUuPdSksCD4wjTNM56Pj GU4zhe95kQ+ZzHdM4lteYDsT+YbnOcUEPmA8JxnHCZ5jG2P5mjEc51m28gzH GM1RnuZ9RnGEkXzFU7zHk3zJcL5gBO/yBIcZ4hDD2HJ8BA7ynwZ0qGb9Vb/+ qE8HuqN99WpPPfqtJu2qW7/0XDtq1Iae6qc6ta4G/dATreibVvVdX9WhNX3S lrq0qWfa1rIy7D3Ly/zITH5mFud4hfPM5hfmcoE5XGQel1ivIhWrRKW6qmsq U7kqVKnruqGbqlK1alSogtD/v3QETltOuQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{785, 553, 757, 876, 941, 821, 933, 934, 935, 787, 927, 796, 986, 987, 985, 989, 988, 798, 993, 994, 992, 996, 995, 799, 998, 999, 997, 1001, 1000, 800, 1003, 1004, 1002, 1006, 1005, 801, 1008, 1009, 1007, 1011, 1010, 802, 1013, 1014, 1012, 1016, 1015, 803, 1018, 1019, 1017, 1021, 1020, 804, 568, 560, 559, 558, 557, 556, 555, 554, 785}], Line[{672, 634, 763, 636, 926, 925, 1075, 904, 1074, 905, 1076, 912, 913, 874, 875, 873, 903, 1085, 815, 820, 939, 940, 1092, 814, 1067, 871, 1065, 870, 1066, 813, 1064, 869, 1062, 868, 1063, 872, 672}], Line[CompressedData[" 1:eJwl00dzzVEYwOF/3Oid6IIgokQfEYRUvSZ6J9YSPSTRywJhRg8W2gILvffe o7dV+CR4zlg88zvvuTN35p5zblJhcUFRXBRFv0mPRdEVirjNEG4xlDss4y/D +cMIovgoWqG1NEtrarbW1pVaV3O0juZqPV2lDXWUNtDR2khLtImO0cY6Vpvq Om2hkzRBJ2tLLdXWOkVbab620fXaTqdqW52m7XWTdtCZmqiztKNu0SSdp510 vnbWbdpVF2kXXaznSbZeoic4ySmO08/+du2rO7S/7tVCMqxT9SjH2Mowe710 IAvIMi/UuWwO527uqQOYTaZ5js6gkg3k2tuoe5ge7szcQ49QRo65XCsoIN3c XQ/T27oPzZlobqYTdC2DrVPCb2BcuGvzeD3EQVaTbW+NnuMsI6lvr1s4C3aT R5q9ZD1AqnWMeOLItFdDl+uvcE5Uh7OhmEE+S9Rd7ORM+D5Os5T97Av3zQ9+ 8pXvfAv3z2e+8IFPfAzvhCre84Z3vA3viVe85jkveRHeF095xiOe8Di8Qx7w kLvc5154r9zgJle5zjUSuMRlLoRz5mLs/3/vH0OqXSQ= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1GmUT2UcB/A7mTFosmWphCzn2M1QzJClnCOyZyllvOk4iDmNMCiOw4us SYZCZd9ps0sLamQtWYYxY6eyTmXfp89zevGZ7+/53nv/c++d5z9V3kzv+nZM FEVt/XgpNopaUyYuirKZXjiK4smkCDPoQOP4KOooB5HOEefOlLP4hE+ZTY7+ czmHz5jHXI7qF8iFzGcxi8jVL5XLWMIKlpOnXyW/YCVf8SXH9N/I1XzNWtZw XL9ebmAdm9jICf07cjCdmUAxJtKXfpxyTi3P18X8KD+SwBZe4SSPhc/idDif is4fIs+7tra5uLk/j3BBd0aW4COm0Y1k53WVQ8mgFM/qSspCXHRdHevu5tKc 5XHOUVlfiWHmS86ray5jfotXSbHuIYdz2fF61mXNA+hJE+vX5AjK8QTP6crL WK64pr716+YnqUAj66dkHPmOJ1q/YX6Pd/lbl6R72jyQVJpa95Ij+cfxBtYV zWlUMVflGXpbj2Uyk6jEKD5gHNV4n+qM55rPuiRrhPdEzfCcXNfny1rhGagd 7osb+n9lnXAf1OUqN/XXZb3wmdQP53JLf0smhnNI4nagvysbcIeG3Auz/kH4 +3E/vEseclcfeb5G5gIaE2N9T19IJoc9IlPCe5f39YVlk/CeZVMZLx/oi8rn rYvIZmHfyof6BNk87FXZIuxNWaAvIVtaF5cvyJIyCntJvhj2m2wV9pSMCfvL 9/4gWWxgBXPIZAKjySCNPqRSwF9+1zHXH+coeeTyp/6IzOEQh8nmD/0BeZB9 7Of3sK/1v8rf2M1e9oT70u+Uu9jODn7hjP5nmcVWfmIbp/Xfyx/4lu/YzEn9 mHAfcqr8kCkU5WM6he+CYx08U3va8TJtaRP7///G/wCAW6/R "]], Line[{1299, 1257, 1261, 1265, 1266, 1267, 1268, 1449, 1611, 1820, 1610, 1818, 1609, 1819, 1637, 1817, 1608, 1815, 1607, 1816, 1636, 1814, 1606, 1812, 1605, 1813, 1635, 1769, 1574, 1767, 1573, 1768, 1632, 1661, 1567, 1667, 1668, 1666, 1522, 1766, 1569, 1765, 1568, 1828, 1829, 1827, 1630, 1542, 1521, 1842, 1631, 1570, 1604, 1603, 1646, 1645, 1832, 1634, 1830, 1633, 1831, 1662, 1663, 1335, 1299}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlwk01OsbxxklVEKUJlmSLS0KyZJvEVeWS6IS2hNqym1xKRJ1tagra1yU tJBknTKRLSGyjl2yjHXMzO83ZClu+c//Pue85z2f8573fc55nuec7/dVOX7e 8RRFSEioSbD+v19uV7Gve0jiePlPbbfwabD1TA7bppMQjuRsoc5NQd3TRbqv lMTvgzF8GqZwUqzxxd8tJOw+Dr9E5CRCOtvOXBgikdnXcXh0/Bs+LqLFPftG QjJo5LqQ+zdkFW4/vWOexETZkI8TcwLbI2zUykX4iHn2u26w+wR2p05ockX5 4J3N8Pclx0FtCc5UEecj3jXvePKtcexVkvM6I8FHntlz0QC1cVQ6DzAbBewd FC8f84kPk6ZMHRcB2713677hw8eu96nrrgvue1926dqnx0dPb4OdiRgfS3Wd /0qYJPHihan6A0E+I2mPXy9vkjj7z3WFawv4cM3SXvZInkRr2ppoMQof//7k HrLMJiCjL1URK8xHpLJTuuNjAgdodnZrBVwY6vbgz78J5L25vfmVEB+LI9BF DyRQlOBzbouAT5DC+yVoBD7pXFNQE/CVh0PCx84QiL/FLJcX8KLdGzn5XgTa 7M+dXCLgMpda6WWeBMzVJXVFBVys7UM3Ok1A6L/gw+O/IBAloxzxTVBPKmOx bOQpAqItA4ojAj5bQ2kqOkmg7Huubr2AE+kPvOROEOBIyRi/EfCR/gOgHSOw MICinyjghDIbx4ojBHbYV654/ItEWRCpZW5PgPnMoCTxJ4nCwj05HaYEei1T dWP+JVGc7sX4axOBhvbT/rfnSIya5y+zViRwrGrbrJWgrqph2WMV+TyYivw4 t51LwvlMi1KLEw/qftk73AZIKPNNC6ymuHjgY0d/10kirlc8fzaOC8fVA2L7 G0j4d4wwy8GF+NL2Z+bFJDpNul0Sizko7gz5GvOKRNrw0KZicw5umqiGuAvm 9a/Ts8Ef6sdwydxjMj2YRMdYHWlzZAwiCNrwtzeJ/csjDy6cYqPPbr5whSOJ yCD3H8nhbPRu09Lq30gi51bpJRkJNu55+r12WERicG8X8+O9UchfWvs8rIcA a37r1TUrR0E7ECibn0cg6cmazZFpI4jyGMmeDiWwXWpZ/4udI7Au38g+e5BA kM6+r5yeYYTO7uUZaRJ4cdfY8N+QYQTpf9m7vpeHv1o9FXxFh5ETVp+lF8VD Oz/m/Z3oITy3lcvI283DG9VKuGwYwk/b+Na5b1yc1ZZ2VakbxFBieK3bEy5s KqS36fsOYs1bRy8VOy6irwlJzqkP4hJWD4TPcPDr/jkfds8A9BirlD7d4YAi 5mK04/4AOLrxzFIqB9cVK7adsBjA+pUu2WPpY1CkZT2KFR2A6UU3lwyjMZwf SQjUbGSBNjHee7yGDe/Rr/YBT1gg62atjx9i4xdtxnjhFRa267+Rnx4bRY7D swpzFxa2rdZJcnYdReVVw/VTBix4v1JWf1o3gnL2kgX7lVlQWtl739ZsBJsp QSmx0izYbmHnvX43DPemrwmzEiyceiGkLaM3jOhQt/uti1noCHdkvs0ZwuUd wn/eXs4Cs6b/wOetQ1hFPxYTpMKC1TmGMu/BIDZd1tSIMWGhIiteMnBqAJXi zMN+R1lgPXh4+uHRAayad7grd48FuxVrRMyYLCxpM9LwLmahbtP1jT7WLKR8 0qoJmWZh4PAjqmh1P7qrTJr8dQewOeAK8cWuHwv/MKP7XhpAu4RrypXcPnxr U318sHEA+90vmHmq9EFlX5XMTp1BENuETKl6vTAu6giIjhwETVJTMcqgB2XO fXz21CCUsyd8pm2+IlLi3lWKyxBEGBwrik83+vsqc+sLhkCvqU8ITPmC6xnU 3TTqMDxULrw2YXXh9sEyD60/hxGjEub/SLwLnA3SIs2sYTz0v7xTeFcnjCxs M2utBPOoyZktCO0AS8nfMlcwn4uWSSnadLbDti8q1JUyCkP7ZQddDNrRvMVt QaPzKDxl1R3yHrdhwjC42vjpKIqGmhr2SLdBO3G/5JCgr7meoUkbw1qh9nnS U3UjG4rqu9OyqK0YVKcaxpxgIzDrVtr9rBb83mDUdSiWjXNLhs877WnBJcXl PoUVbNw41HUkaaQZ4onJ0f+Os5EfsERo6d1mGL1bK3Vs9RjUNLPpe3WaoZZu PKdhNoYQyZCYtV1MZHqTBvc8xuDuZalzKYiJpSlVZ8bDBOe3ospomkxcH35X NJc5hpv6rfKfW5pgJKqvOtwwhs6zWm72N5tgbrnCb4gYwy4VMZmP25pANdMZ 0VzCgUJPv+13TiMUD5861qXBQf5jw8mSp43ImCylKplxENFTQO2xbcQt4xwH tWMcuO8blf050YCOaemF7tc4qKJ5r6p0bMDz0lnP6XgOarYFEamMeqiqdoxS 6RwEb5UKNF1XDwfdRj2iloPRgCNHNsfUoSQ8VDV8kIPvFwVKJF2HuS0+i1bO crCIpzTeHlGLX99XRtIluejjyKmfX1GLFcxdL/zXcnHNnqEx+ugzJt1F5Hz1 uRg55moupf0Zv1+P5+T/xsU31/P3GQU12KNLp9u4cCFdUVAYpV4Dh2jGW2sf LrqNqxR3xVXD9YaamG4oF3PBe5acXFaNxuRTbdQELjIU1RekhX1Cumbkc7ks LpZ0xhaULPmEfLEbZXofuLBwWm11MrIK63a8iL7VwgUtOs7XSaEKW0cWjq8e 5mKrwwMNp/RKsBqbrX9NcyExod+gbVKJZ/HSI4aLeLBooJRwSyrQbqYx5bOK h1uit4fdrSpgIDef1beehyD71gTD1o84cEPLL9aYBz3Fx6Xw+AgicebsIxse rjga6+nPleOpQkykiCsP0RXMpbS75bj9I0Bp/Rke1t3xm2hdU45QoQc/nl/h YU9pqJ7umw/4senlfPAdHhQYMy22Dh/gwlNe/ekhDw0sy6UkUQaVeV234Oc8 zLQ3t63xLEMtpcaPxuAhee5iSMVIKWrHS0651vCwLUli5hytFEUB3+2PfOFh S7VwkPt4CWSJdRphHB7uDbd/t5QpQYGG1jwxy0NRkJ0326QYT9WfesSLE4id WPryn94ivN9isWJ+GYGIpsjf5G8WwbluptRsBYHzZdZTTuuLkCyeHXhKgQDt VQXbnPkehp0L9nquFejOwsovHVff497PCD1bgY7o591t6hR7j/Ru0SAlHQJm /NTrb+IKsZV77WaRAYE6ZUW2g3YhHNKtTmpC4AdKWV6RpQU40O6ifNxSoM+N W1KuahTg6vbF4e8cCNxnxD3LjHqHlrcq4VmHCNjzE3OGF7zDuLwTbY/APxiX r340cIWBM7EXqfcE/mV1y8c4r6l8fHh7QyPAlwDl1a4W3oZ8/KFgs6HvBoFK 3ZAEi3NvoXBF90XkA4Ff8s8OKGa8gduNC5JPEgkY1HdS8he/wc3d0gdXphEY beyOz++no/VElldPOgFbWZcqPQYd6XZsZuJrAj+WRpzfEE6HbLVUgaPAf6VU W99I9KBDru6phZBAh920536FmNKxQMcg8fkbAq+fL+J8XUHHndjJfjOGIN9v vg07+/Mw9jjq8OdCAjoaIQt9M/JgO63raFFCID2J1+vnlwdNGmN5zgcCy3eb t+62yIOQU8qMZCWBSZvb11pl8uB5UNjhSDWBoz9name6c8Ep+ZA3WkvAUbHN biY1F/vnXg8dbyTA0BHqr7+Yi5CjGbvrmwlcC+wM99+ZC8plnw3a7YL3D//K oGbn4ECl+8qkPgJ2IndqZdVzkHK+SCuZTSA3oruHkpKNQ9Oi8cYTBMI4fhO3 VLMxFtUh6jtLYN7D1CrJKQvGksphzhQSoVq34/eyMvHxkO3fEqIkDGXnJWwv ZIKrNzv5SpyEPJeyPWBBJnrCNxw0WkpCSUnMnRn3Go+GnC3fSpEYsy3WaLN9 DZGCb0e1l5NID01aMCr8GvvC+889lCPRpTaZRmFkoNmfeDy7ksSXRCqhfD4D p6iUtc5UEr3cTcIbX77C4EsZRYYyCTHh1I33xtKxKSkkoludBC1O17RnazoS Pog3V2wQ5HdZ6Vod/BKrpKUof24lEVYslv+jLQ2yrvLzEwYC33gwc9Y0OQ25 W5VD6IYkwhsVSTXvNLQ5iGf4GJNI8gv8+UovDdsH2qI1dpDw/nktqX4+FVEb vR07TUlYXa2SGKlOhTvns0/UThJz/zRUJ0en4kyK7g4rMxKu1rH4cSQVxqc9 6mfMBf+WC8rsOL1UuFo8MXC1ILHwlfepp+Kp2L/DS6HQksT/AArikGM= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk4lNvjB3Cyc4mrjah0XYWQa6nE/ZYkWSNJKjci27VGqEgRLbKVIlJp E1FCZbl2RvalMox9G8zMOyPLTBH/+f/O85znPJ/nPOe85z3nPOf5Kjj72riu 4uHh6eTW/2+NDqstJVaz8a951LZT8QvgHVnr7N3BhqJx5n5R0jxU3m3cOj3A xu5+JY8bAvMIXLpXGzHNRon2o7KRI3MoWNvJ0Z9jQ2mxzLzx1SwOnr941GmR jfxBc911srP4JOlO2sTLQVDFj8+su9/BI5IlHSbAgToxq1625jtSsiTJkcIc nLo7rUhPm0Fqx50UPVEO+tUbnvApz+C4A7kii+vBv21Kk0pZ6KSUa2lzbYuD /nv9WegIPualIMLB48GmVgtlFqIOVs8GCHHwjMVvdZzExHXWk2Oq3O+18mY0 ++9jInzadK3FKg4umXYVfviPwFteV5MW7vqsovx1il4T2GB8evww1+3NEXrN yQTahtOJah4OYp8JPFi8SsB65Oa53VzPerzZdMCHQK7q8gkVrp0unksx+5eA +rbjRnJc5/8WaWXrScA3IPlPCa5fMxYOnHYn8H6FIS3EdarZ9RYnNwI8/ysc nPtfIZC+MXuCs8LGYcnMFU9XAkfCxJtmuN6npJHl60KgYtQ4fpRr98bJ9aHO BBQGXU2/ci3USKm9dobAXnGvpXqu85eW8mIdCezQTlnS4dqrdoS5ZErAQ++E /9NlNjLWiVGjdhFoHvz9tAjX2XpNHoqKBOoZqtXev9i4tqrMgiJJgK+uhG+M wwZPrddbThwDz/dUtnycZeOh/RB7mxQD4bGJm+kM7voqG4r3PKDj/OeDc5FU NqJf+qXxKtCB+o+G14bYaLX5sdUujwaZsJSLnV+490umxjlTiIa+gl25X0ls yLKeVWi6TyN3SqQnuZiNOW1b2t22KWxQ2TIpl83Gj13rbzobTMGJ8HkXmMrG mj2DP5E/ifHwC7MvY9h47dXm/01lEnZeTYKrvdmo9pMMooRQceCW/5TXETai krw7Utsn0P18WbBbkw1CNsnbVXMCOi7W5z2k2Dj5QCvj2cNxyPz2cHwvcwEe Qy9GGsTGoRdvUnCuaQEL4qPzdlFjkBZqbuR9uYBkWQFlCt8YTIdvk528FyAY oX/x8bFRBNo3Kc5rLsBCfLvDYsEIjDflzC3PzkNjY2PanPwIlMQmTlcWzGNC vkU0N2kYQcmuqiH+87ChqJo4Sg1jh5dznbPaPBLOrne3Sx3C52Af+RLqHBxs 57bPKw+hbI1oVkbcHF4FJifmHR2EcIFSW4PWHDQcjZ62eQ5gaIOEUWr3LPgb ilJjHvQj2cPX0vPiLJQ/t8juJ/dhzGjua7zcLASXWR0Jqn2IoXFCjpd/R4Xb FYWdCRRUoSdP+Mx3nIz4kMXhp2ClV/Lkp4kZRH+5n/nKrRcGwjqn1XxmkBIy mXNluAeqGjED3xZYMAiWmK/w64GVsXfX2qssbHEm1VCke1CmeOW7gTgLq1le t85/JkNaN/ms2i4mCnmpbMsEMp6nddz4ZE+g4/mXpuNuZPCWUS+t1WPgvfMb FTsTMnQ1KjY5/EmHs75ThKghGSVhwvdFN9JAzL8rKLIhI57pFnBl4zTe2Oma N4eQseV+ax9NaQo+HTyetPdk+JTkbT9rMIm0NVtl2lbIcPxtc2u/IxXmoZbd hx17wLt7M5mpP4G/6ideMRZ78GjfensbjXEIMXsc9n7oxcGHZ8VMdcYQndOg efIWBXyW9w0WLEYR9/AC4R7UB4+I8zgVMoJ4qZYBt8B+9MknkvwKhiGgIjNh EDWA3FVJyZuXh2AprLmr6Okg1O6qxzseHAK7NTX1XdAQrqX1mv2lN4hvDfIu LzYNQ1wlsuaT0ADKzMTjQz8PQyRSJfMGqw+HZJ4nCAaOgEOjBK7MUFDJcyHT Um4Uxa+dTV+IUJBi/XvfrcpR2Ipnd2ro9OIA3XW77j9jcI/OoEQG9MDhn0t7 17DHcNbdJaioggzPF+f2aseMQ1tWcJXQRjJY/QW2TIkJdBbq+1KvdWPoyP6e 0TsTcBlV7GLOfwPV/jqJwUdFeadExlDAN3T4X86T96ei/zNvcXbXV5QumRh8 nKXixfxURPT+rxgVF1y9330SxlmNboe+fkFSosdCUekkMg2Hje19vyDAsTUk UWgKwmdrJ4RWf0FyVHxxsPkU9k33nikr6IJH+fKR325PIXFQS5t1qgu/ksKn GTVT2Cz4+LaGaBfkpb3+KGBPweTpkam1pZ1wGsn1mFSaxoJvJL+5bydWxFMI CZtplCS7sa8rdcKQoaiUHjoNpcnYZ1eHOmB/epz849E0rL5QLAQedWByi2pC dMU0FE+sElO36UCdUKyzzOg06NEFhjtEO+Ai7ybexkeDtZxbf11tO2rNHuoI b6XBZfDumYar7XhHfClf/zcN72NXFwrtb4dsqOJVI3saxAcYcqdXtSPi0l+j jX40pAkpNJrfbsODqwJWAzE0VN3bktcs3IZgt73Sy49p2FlXUR9zqxXUS3/P lH2gYZtiuo++ZCuM7tyVOdhMg1GABeNtagvirG+PFA/RcFzfyy1XqQVnvMM5 u+doCGRrr/B/bIbc6OVTFEE66pqYJ+5qN2PxsWmHuRwdYYYqemEfmvBV4jWn ZCcdf9wZ6I7Ub0Kl5GAyjOjgW3aV8qlvxJqsUi2WHR2KsjufC9k2wpvkwzvo TsdJCbHbW8Y/Y5OSYdjGi3TQ7u7Y88vtMyopfm6ud+g4UFKRsYnZgCdsbZnh x3SoWq49d/hiA0SiV+tk5NNhGMuaNBZpQIz3x2PZ1XQ8OaqZPZZGgvrI7QCp Ljpeic6NzWqSMKM6pzwwQocC1SyZp6oeZrb+iY9n6fC0+c5pP1qPwN7uoDI+ Bkqr6tW1puvgwrGTgTSDO06Vzomsg2drDmnnVgacNGe3sbfU4Q8ibyF1JwOW N6lWEoW1WHPyXJjzPgb0rJu6x01rcamsojzOigFXUoyg2XgN9zwea253ZHDf O5MOicgadI4KX971LwOsJ7qRAoo1GMyUjq0NZcBOfJrq8KYa/tZBX6tvMWC2 h305bk81HnTv6/v1kNs/2Jx+tKkKCaOESGQ2A4faacIuTlXIElGMcizmzj+z Uf/KYiVK3mrapJEY0Pfwyoy/UAmbEm2WbC8Dp0Vz9v3DqsAJV/78dBoDsWaL N0kr5Qh9ESyis8TAPeOV3lDZcjyRkZBfECOQz8Ojlov/oCjXqsaSJfCzOG9n jk8Z+JrvcDSVCXQfV7L12VCG9P1HrSU1CCzvzjBprSnFuKbwjXZtAke95aIr /EoRM6Mad16PwCbvF2zdzaXIdMnf9xMEQqaufFduK8E3adJ514MEfr0RjPVz KUHbek+VdHMC97SCgs2WipEgPmDy7CiBE3//XP3sfjFkGGmZlx0IBFnRe85o FSNx+umsshOBFYvlm70VnxDcdngjnZuPJOzHTa9YfcJ6hbV+gX4EXrHKPdVH PmLH0z2+dcEEJjMEfjUEf4Qd+YT/cDgBM5nghsTODwj/UTQ0fpOAjPWjLmXt D6hNvZToe4+A0PNYKeX0IoTfnjoYnUFge8jodQ3RIjxMmFfRzCLw+1MqaSys EEnvjNov5BPoK229fxaFyKRdarpfRMB43bawRd5CBL3/0+xZMTevjYtYvqgr wJCpQk86Nz9KaynJO9wqwBVnp4XIKgJ7KjvMTVUL8O5sFX8tiYB9s/Wj3tb3 qDdJ7/jawv2/gs7TrMD3eN1/yry0i5vf+DeYBMi/R4hU8qELPQTmDCY8X8bn 4z9tZXbpCAG1/mURfuF8cIxYW+7TCNiIj+moRL9D1rzmG7E5Akhiv6kQeQfx stKFrUvc/Vj3uHxM8S0eKf3XN8zHxEI4aUmnIw8F0ptvpQhy8+8SX3hVeB70 g489MRJh4n0e/6cItTy4VBOOE2JMnFv/9oh3fy6uJf5aDpNgYpOk2uDbuFyk FqRqiUoxUTtgY/L7/lxInwytipVm4kZ/aHnc3BvE/izqE1jHhK6uQvrm129g 2pL9MWgDE176h7Zr9uSgJnRXiepmJlY12DJMpHKQsEVB69GfTESxBHl/HMnG VtEDMy2qTKgeWhGnPHiNhnXd4VWaTPDxKVPjx7Mgb6irdImbG2qic/rK92Qh 0Pvp91/6TDjOqmmsvfcKFZnSReaGTPwyuGeRc+wVrm9/aWBuxETSXzdy5DZw +ymR8UbGTOB7+M+tEy9B5eEn9x9i4g/SPH9j4UssNj7t9T/MhNoRA49PXLuN 13oGcP1/2qurlw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1nk0VesbB3BU0r2hm7hFReqSbhQZbqEvJZmuIt1QKJGKyDzlGMM5jjmO eRZHRClERDJeqZSpDMks7KTSgH7v/eu319rrWZ/17v2+z177edZ6tlk6GFpz cXBwdJD7v7j47vVKEtSkeHqdW7cZoU70xHff6mX4GTSr5TUaYkDqzPTQvkVw UD66a3yO43yJ7gcl1W+wXVJ7pjarBzvFXD7J+C9YcbP/ktIpHUikveOWZ83j z2G9mY/+WjhtFJ3yYekD+PYu+VpPHIV2b9Thbs8ZDFoMf5nW04LXC27j2ahJ pFm4bTufoI3Pdjy7BnaPQeCuLo2jXRe//Lm0bq3KMDoFt48d4z6G15y1dNni t0h34DcXKTfASiOTHyIf++AYMu1mnWOEr7gmdWRzLwaSzo089DTGlcqS+pnm TnTIqslrupkhfd4gt3WsAx8Z6y78vnAOFwvTfr7vfw5WQ7Wk5EFrTLo+VVsU bkeS5ImxyaOX4Mrmf9w70Io3xxOFLQ7ZY2PbokviYhMq/LxbLu5zQmNxjXb0 5QZw4MVe7WVXZP8j07RdrB71e1brit/2Aitudke2YB0sxmZVvqn44YAQjft9 zyPczH8zkHQ+AN5Hbi8KlVTj3Y4U17KeILx/zHf6S1EVGv3EBBl5IRCvEeoY f/YALpnTJ0b6GHA52CTmKVCB35xGGCdDImC2xqzuvFsZ7BIqlu6djsYPPbMa Bb77uKxZr3kuPhY/Kwt6V9eUQi/H7Jjn5nhU3Phn96mgu9hfFF1UtJCAaR9K v9LiDpZ3mN1rl0uBwaOlwkH9EpxZb/BzuDcdCtXCWr6KxbBv6R05eioTNN6v /sy3RejmdA++O5SFmmk1kz+SC6GxpMDZHZGDMOcw0WjrW9ix5viJkHM3kSfL kyGKAiR1NdIen8lH4h2xhfWbCiA0oBlln52PlJ80l6PzbER1KTm9m8qHiIFO 2cOnbBzLldkmto+NEKWi0075bByd2Z8sdY2NoogXqMpho3Crek5AIBv37lY2 rcxkY+eqkof9DDYiOY7P66eysUHr19EDMWz0pHLJuSSzYczSWJqMYyMp8b/r /1Fo3VGFWhYb1hJ7vLXIeya3bn4bI8+1ZOW+XchgQ2dN/Ut5sk+inUvpKZJH KC38eGAEG9rLWvEPitlQSJtx6Pjv3Dt59C3lxKaWgWsvsFHJCuNx5yxAjOaF kuvqbGxumj2QqVcAQ3EqQXULG4GbQqTSEgpQbbl9cN+3fDwXrH7nMFqAsywf ecPGPEytuboq93YRFAoNuQ/n3kSLSqeptkUJLKybBcTjcmHN7/EkifcuPER3 DwvF5WD/+71fLoyWIsHYaadRTjaEJTL6pibvQ/XtChuZmSwcmvMdOlhYjrQt 0m58yMJSZsbZK5EPsNoxVo2VmIlxNe8qpbgqPLRN0HdYzMBc1lecflQNo7n2 KDWbDCRK3+1pWF2LkKwoH/u4dAzJl4852tThqcO01En7NCgdyOeMf/sYBsUT glbGqSgwXPwm6fIE9c31mzoMU5Bkp9m8LN6IYHqrZf+ZZNTS3+e1zjThxeXn 862uSXh4dG4Tb2cLzLwMJdp0EsFffHHAoKgNEzstW+P3J8DFdKNWePUz5Ewv V9ioscDzs/Pp8YAXKFYQVrFmxkPXx+CqzUAHXPWiLC1H48DNpSbcr/0KMkUC ySk6cdioKZbLqu/Ei3nZL6eqbiCzLXa9ik43dHFVYFDxBlb9XLdDtq8Hquw9 WwMfxuKkgf3fOe6vkftqYqzzcCy4hQeqZ/7qg8IsyxmdMbDrdTPfwjGAJIXo Cc6rMUgIfR5q1joI3Z5Yu4sCMbC3FpGzbH2LkKWZw0010eiWt76y7/YQ3LYO D3s7RsOTe7ZJIfIdJvukv0/visY1PboDn90wggbNP5t1RaHf+7xyP30E4TGa PsywKLgMrb3nnDwKZqGFnrF2FEYqdNXupI2hP8RA4yFfFLhtopV/RI/jUx2X ZdL9SExnqdscdJkAbUdw1lWTSFxXf35wQmMSbbbatoGrI9GsbLbj9Yop2JSG 8l6vicCfWWG+xnemsOxifjnUJgLXBFQkzwW8R9zL9B6XzREo3Kh81FxxGlsE Z3jOjYcj6kTG2ZTSaWS3jk/cKw9HnZPPwN/bZsC66B99kxkO6ZUtk/N+M9Dv +ZIXah2OgAf5J3lezaCh6GJ2o3o4jgVMbPkkMosHnpaeQ2Lh2OvDmuExnYXY k+ASO65wYMH9jE/kLAqkJBp/HWNCYcb8mG31LARVbSwb6pmw7dkq4EnNom7O 1mQmm4lN7YJCFhspnK/5dQt/MBNHnn5aqNhPgf/2m0ttl5jQEvnu9NaIwit9 jQ29+kzIzx/J/XyZwqmmzKQFeSZUOeukxq9R2OSWavpFhInzqycTPMMoGMz9 rlO0guxvL6qrz6Iw/j2L8/V4GJa41nFeyqIQWDKXXtwWhoyTZSeFb1Goj+xu 4r0bBkbCjpbJOxR23YDZG1YY0iOMPNXLKfjd3jmykhaGgIdlpi5VFDSXJ1W8 rcIgXc4jV19Dwa7jBltONwz2YTkBZ+so2HqOW+rIhcGj7n3h1XoK+WUL1jGb wtApyRUi1EChWr31yCrOMLzkDw291EihIyaoMW2CAa6PGT+8mygIxP6WePo5 Ay/PHhY700zBquV3if0VDIgbD/ILtlCQ635spZDBwFbYORQTP4nQi28PZOBw 9rcLWq0U7nmVdUTYMPBlRFW1mVjLTTbARZeB+s/FpxX+paDfpWdL28NA84fO oBvEgjJ3k24JMLC6bhaTxDlrHI//WKAjXslht2IbBcdDXAu53XQou20RoRMf uJsZRyung38sULmLWLerlBHEoiM7+LuU6FMKGzwuHSt3p8PWInGNNfF0+qiD kDEdZ3k25+cTS9Cnrmf+RcdN5qH4KeLtkap+zuvo0Ohr9VBtp1BTWNnKnAiF u8mHfyOIz6+Zq56uDUVWksz0APHBW96VMYmh+FT5QEjmGYVG7k4JmlMoUoXZ zteIfWYK/hU5HAr/K34H3xBLP74kK7ohFNWMXzbuf04hRfzHiZDRELQ4la2P J1Y7tFP+RHkIvPIc/vpIzP1o75BrSAjUi4dzDF5Q2Jr8SWOFcQhkHGUVS4jr h1W1vu8MgUvW7AfeDgr+LGs6uzUYw/4jr1uI9WSHYn9eCcYzdS/HgJckn5JT jfPrg9G9Za5Z6RWFjde2014qXscrcw3p2U4KCVdifhzhvI4gBvOpcRf5v71C LnptQfjG5jnwmLh6R//iCCsIXizl4F3dFKSUhZ7wWgWBslIpjyYu3FQ156Ec BG5jjmvviDuf/4CKQBBkN1hHyvWQfjH+/OKf94GofWXwyZ94Lp660xwTCJVY +T/leinwLkqWjSkH4j7/c55B4uk7Hgl5YwEIrexKC31NYcp5Jd+2zQHA27+s RPoonGvT85ib8oeGdKOcD7Gtlds5w0p/sPkDJvqJuaZ296gz/HF7VNFHtZ9C RPVezhpTfzilis8nE3PxVanwqPqjbm3uim7i62bZJ+mi/mQOksz7bYCsm67o VePyx0ZaSr8usWKs1leudj8UpzbfLyXe+fPZM8ckP3weviIvPEi+p9ihl2Hj B76GaXPfwf/yGz0g6OuLlQJflZ6+Jf3MkLphKu2L5QWeS1uHKOzx81MI7KPh 0WLWfXvilS8pTSaTBk39R+I1xF0K8WudVWlYdjIpXfuO+MarnH+4aKgdu3fx KLFEonn9/SYfyK5OyfInjvrtjWZkuA8+iJ6zrCJW27SvwqPoGro4VCYSh0k9 uTy2dXrlDadhlpXjCEXmGt/vh9O9Qdsts/cm8ZzqKrb/ZW/U62aEvyb+t4/P f5eiN76a2PjzjVLIdE6NUuXyRnSwwtpDxHKzlQLa7V44mTWQ6krcztXzsCbJ C5X0Bw35xDacismpNl4Qrn4W9IbY/J4Xbe03T2Q1uKtpj5F6YNZyXWB6Yrlm rcB94sucn2oztnkiu6Rjleg4Ma9aX8WkO45Lf3AzmiD1Kx6/UiPNHd3rZQzS iT/aalxuPeEOk32l8pPELjxV5lq/uJN5aLuY3CTpDyvn05V1bvAwuSroRcxV MrCtNNENkuedmzOJWxs2r/ni6IZHQofkWojFGz96Bei4QeqPWsMPxNzjVWV3 fnfDIdZoufgUhUnWYr3pqCtUikqyjYi3Jz9xinjgip6n1uv9iE8MxMpujSDr Oa5/3CL+H7Uqkk8= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Hk019sWAPCulAjVjYouTYiI4qqon12vQUVo0kD1yvAol3Bj0eBReYZM ZXhC5nnmexJ17Z+hVGTKUKuXigyRnK+foQnv3D++67s+a5119t7n7LNXnXM5 ZCc2a9asa+z7++/dFBVTHcthUnuTpnXYBNAL3WptdzkM/pFXfyRwAqonFZJm 8jhc/7R7hY3KBLjItYSoVXIo9uJPp/K6cRCppEwca+Sw/urrYC+3cXi12Wow +S2HWUaO1d1rxqHyfZLG2REOt89pOdz1fAx6nNs2fZrh0EPeIfS71xi8SO0J NF9A8Mk/VW1NN4yBpfnW6Uwlgh89Czslh0XgIaU9Ia5J8EzOunM3CkUgYeoi YW9IcEC5b/GUowgOvm/Q9tpL8FPvD0UvTRHsVUmdf/IowRqHVUqrRaPgxNc3 rzpLcPgfszq2C0chVzP93/0XCD40WFa0+fYomExGnu30JOhrV/JL3plRKDr+ qcTfj6DUVUWTat1R+Jj97JXcLYLrvglmP5YaBZfQ4Tn3Igne8Yw+r9DPg/cD 08it8QT1Wr6+Mazj4Wm38WHxVILRofqLynJ4qFeHBulsVl+wkapmBA8lbj4+ /ypg8S0m1u7w5uGdfP1y1VKCW9txaYEdD/E684nZfYL+tkkelcd4WK8hc1Gn nKCYt67f2/086CraBjY8JHhg29Vj40Y8WBXovVlXyXxKWXJUj4dN9jJ9ZkKC MVf/sKvS4EFmmezuV8w/VK0S1NfycNN4R+epKoIFJkouCSo8JFfVFb5jvtIR EbZiNQ+vU0w/nKomaHIomxSs4EFZTu3AeeYXS2Z9uchc8PZ1oQeznXn3Hj3m 3FQnyevMpsMC4bgyW3/yi14g85U2iTmdzMnj6tZhzMo3hw4+YH6cvz0winkw bcYnllk6XZqLY97vI7jvzQxbZOdkMbfOSOgJmM2dek055vpp++YZJR4kRqKD hcwyFntDq5mXnzw436CG4OegqV7b5ay+GQPpAuZb2t6pixVY/OLBxBW1BNst a/wal/CQZU86Q5jXfdXaESXHg85k8cu1TwiKwkZsFKV5MFObbgivY/X8qX7Y RJyHJ4HNNxueEjymtGZIYYrCH1Oqnl3P2H3q7AOvCQqLrILanj0n+C3x/o1T lMLOCvFKUT3BsqEfl7GfwqRke0BzA8Hg/rTf1N9TWNswaOj4gmCHcbS+52sK RTVjTx4zVx5XfxT+kkKupd2GYeYrRo1a1o0U2nZdzuxl1m9fL1f7jIKhpHFF MPOjc5bPa2oo/Dq33+8D2785XtuuoZKCxpq+mjEWf9vP6QOFFRTkNsV2NbP8 vrsHCfaUUXBdKLbNh+V/+nxIuStHYcEllVQJVp+GwOZ/S0soJF2SvX6Rncep q2Jma4ooXFh30eJ3dl5BiomiBQUUQj0ExW2sX7pSR4ROeRSc/bw1TiBBifwj 31fmUhCTbo2qe0QwoWjjaYUcCglarQEqFQQvLDH8vCeb7e/x+Y57GcGogUOj CVkUMt+l+pRxBB9kWR+SZx6KoJ6jxQSr+jJG0jMpbGhM01YrJLgzp0ywn1ny 5YaJw3kENWXPDkxlUHBxmLQcziIYr971awnz0dMKkr7pBFUzZou7M0+0Fsks TCG4Yt9mVwGzQEK4Ju4ewdrTSgOyzCpBk69WxxH8miaM6U2nUGHxMDozhuD6 pdOqQuaxyNaH/ncIFpbW3oxhjltm5n8ujKBRa26pK3PAvCVbtgYT3AsnOw4w F8mFzSz8D8Hj2V5HNJkHO2ynetg8ebxbWCXJLKry2MtdY+/RT751II1CFm1X NvMiWC3uuwiZ/Vq+Fva4E8z3Mi2PYhZJzJO65EwwY5d2rBNzTqDWJjFHll+O bcRO5kYHXcNgG4K7Qo6GKDIb18pv7LRm9/HawGoglcIHC9G33ywJKoy/l7nP fP+/1dHW5gQvdUXGX2f2n9GaF83mZ/hH5dkHmV8ZS13z2kFQvO3l4HJm866+ 3y3ZvPU1bE3uS6EQ8TNFS0uPoENdi1oxs/vioRvDbD5ny95edJm5zPni7CwV 1q/XY5/uYm43+JJpxea5mdJfJrLMj3q+6g/KE7QpVS7vSKZQ/bmgyFWW4Il7 FfQec4rzhtD5vRw6l1gIHZMohNjpnG+p4PDIghPbtRMpyAcEZNSEcXjX45Lr 5wQKvhbOP587cTi020jUF0+hUzbc0HQfh01xq93fxlHI0701ckuTQ0v7be+m 71JIK+8vc5Ph8NsJ69tKzFlf8udNfylFpQOWYQaxFOqPcO9ya0qxRj9KaTyG QnhFt2ZOTCnqvvC1y41m/fXgcs/386W4uqLJ3TqKwqcntapJglLs16q1nBdJ oc6o/MKweCm+GQsZPX2bQqL0FiHUl6Ab4nh+OIWlwQ3p8eElqKLs6D8eSmGl ls1WqaMlmNCr36QfQsGtsXV+09wSvAnqHp+C/n7P/PqVZcUY4ZdSERHA5s/a tjML7Itxo/+Z5Tr+FBySP2Yc21SMP3IT3epuULCVyx/QnVvM+nexg/V1Cv8H M3NSYg== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{-0.10499999999999954`, 1.0499999999999998`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {-0.08499999999999953, 1.0699999999999998`}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[1.075] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdQFVuz6BEz6jHnyDEcAyZUTOiYjgEREcWEOeecxYRizvkYUTABKooK xm1ExISKgoKKJMkZVAxcX9X+9VSNdT6e99x767vv+deuX/X0rNUza3Wv1bvX GI+YajPa0MDAYGJ+A4P/87t04bcGVRyDdcNvLdcNNvdQOl2b8tzD9plwUcNr H1Za+gj3r7KgxJkLx4TRH9jldfD19jdFH0YfRh9GP8/Jj4E2ox+IPow+jD6M fr+CRhNmdHom+jD6MPow+iZXyo5r3TdI9GH0YfRh9HNNrTkmz7jXog+jD6MP ox+3ufzZKPN3og+jD6MPo287oVrj+3fCRR9GH0YfRl/X8Q+P01ZRog+jD6MP o1+ncoOG2wOjRR9GH0YfRn9bZtNT84bFiT6MPow+jP7Xx63rD45JEH0YfRh9 GP1zfYxfVGuZLPow+jD6cNg+M4exkwN1b+YcKtJw5G7FUtejV/rCR8LcHz6y ZpB5k1ZXhNH/rVB4xoDgZNGH0YfpH/r0D6Z/MNejz/Ww/aYJiwYM3aArZxzv UMf2qNJ4/Z6gDvNf6kxOudqaTJumbDv5tN764c+FMx4ZLXne7YnwqVBHlzaj /IRlPul5evVMC/+mN4XHPXgQdsfonDDPw6jOwctJQy9J/2H6ZzZny9VaVueF 3wa7X/SerhP9hlmxL9f0viv6MNffrhYx8IjfbeE9z1L6Twm5J/rxDXPHbbjs L/ow109Zmd23eeIj4cP7VtY1MHgq+jfDisX0ffhc9GGuLzxnw4mI1QHCc3tu r32veKDo79xR5X3Vt69EH+b6d7X3Hju556WwpeHhWlurh4j+pK4mkdHJb0Uf 5voLwcePzHF/I7z5Vb+tJ/eEir7T130p/ZeFiT7M9Z27BD+p+vadcJbnkOJb q4er7y/QeVobo0j1/emZ6z2qhVnnGRchPGrD6M1z3CNFf5aHa5LxtveiD3N9 hazox9HJUcKPxkwqatcsWp1Pa85MyVcpVh3/eub6Fc+SrB7OjxFu0W7mRuVa rOh3HemdEOsSL/ow1ye6Zz48Y6jy4fILitTokiD6Z811kx7XTxJ9mOv7r/xq uXNdonCRtKXrC/gnyXwzj7rlOMckReYXzP3xN8yndw0Nx7RZmyzzCeb+xGeY eAsTP2HiIUx8g4lXMPEHJp7AxAcYfw/jv2H8Mf4G+/FfMP4Glv7q/QnX+6zS xS+xjGyLv4N5PzD+aor1+RqmTVLk/fmv7Bowf2CyMq+0/eVHzZ7r1lh26Wr+ XT7PI+jWzcJ+wvY3Vt6a1y6wbdEVQWcTJ6wVfmUbN2ym7yHhgOAtj5Zt9xJu N8f9+OB6V4W39x4V/jThjrCf03T/dhd9hQ+E6KaeLeAv3Gp55zHjpzwRnrXp 4eSFFZ4LFzPrM8p06Qvhrh2CJ3YyeSUcET18xOctwcJVMqLHF2n7Vvj1w+aN wnqFCn/q/blJ3B9hwl2OtT3t80rlkfUNPR97RAifWfpnA7eRkcIP8xU0Pdfy vXDFgZYnN8Wr3Dy06JndN2OEHZv0Npk1O1b40MUyjRZ1jxdOKjzQrf83lQtt q3x6eECi8ICoYXXbrEpSBrZ7b7D20BWdst0iYUBgsmI0I2WyxcKLurWLqi6r cT1Zabp9YZ75lSOvES/Rl/mjZ5k/epb5o2eZP3qW+aNnmT96lvmjZ5k/epb5 o2eZP3qW+aNn7XqH8Rz2dUXjC/WvqvGe/sbHu7x956rMiFk24q8oZ931kjUq 57VU1zPosx6R++nlzB+rwldix4e/1DW6u66rztapbanC830qFlV5Tv0z5Ud/ CBD2qJ/exvP+c2Huz/1K9DTZ8sXziciDrGImnXrrLzwjtMPSpE33hGNDfX3X tbgvzHyG8Z/c3716y6lVCt4SuVl1z1oOw24IJ97vvKfOiLPCYQ9s6o3wPC/M eJH1if557i62xf1+fk/1/Tn1jSwYcl3Gl6xH9PKMhJFP5x67JTw+34x3e7P9 5HpZf+jlB3sveVTw/kNhows+iTu3PJXrZb2hl7sM6hHZ44M6Ht+MC4gf6hwo 18v6Qi9fUNQuvEzBl8LnKobF1j4fItfLekIvt7o57t3bCm+E/3w/N31eeKhc L+sHvXxLq8tT++xUx/vp64tnDp4ULtfLekEv/1zyZmKLqqo/Kb/HMbV9RqRc L+sDvXx0gu/kysfV+bJ85vrptRZHq/Ob9YBe/tjncXyuxqq/SbDclmyUP06u l/ivl7d0ejEx6qI63/rV2jM1aVOCXC/xXi93nv861q9DopLXMWb+gzljdEb1 0xym5/2+vq+R0tXgyEuJH2XSO45z7KFysbHDk7bOfiL8yuzcb+WqqMx4znV9 eKseAcnK7SujX7bv6KnTtWi2OHNLstLBJWTJ6Gf7Zb1AfDw1YcK69pWSlVN/ 1tnXbYMaz4iXcESxJo7el9X45tTtYWhlmx0y/r3WtWo5t8LSH+bbn89iGsX2 8tZxPxh/BBNfYfR9qz4IK1dvs+jD6MPowz6RuV4PCjunjL/hUnrbohRl0GQn 44L+fsKxaUNjp+96LlzrTFLHtz6vhRt76axqfQ4Tfrxj1eeQEu+FJ8/qeXxb 3TjhQr3L2lp0SBJ+vjtpqcHJFOEaq3sHBnunCc+c61Xf63aG8M0xFVds9f8g XLzvkleTQz4JD/szvFG36M/Cp5t2WVUj/atwdnW319nZ2cLYX6VBbdu8N1PF fhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsf/ZHrftc/Oli/0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2P/6vwNA2IsMsR+GPth 7IexH8Z+GPth7IexH8Z+GPth7IexH8Z+GPth7Iexv+2ssyUHbcoU+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7EfbnpyzbECv21Vbs8d0+xB1VTh eRExs9qOShNu0GvyOY/j6cLhV5PTfk/IENbeD/8CM99gxh/M+6jmUcx3r9NN 6Q/M/SxL725zeckTkcPIVz/9Y1ft0y9FDiMPu2v30SIpVOQw8qVHqx/JlT9S 5DDyKo5xvbyrxIgcRn5lpOe3KWYJIoeR1z909XmJY8kih5HbbzY2STybKnIY +YMljg73rqWLHEZeYWpMkItfpshh5BOG9Gi49MVHkcPIvXuccbQLyxI5jLxA m9IhZolfRA4j72cy37RE1jeRw8hZfzQP3jfeY5C7xGOY9ca0aiGmxu08hTfO Xja5SsvDOvYPXA8Tz9kPIIeR0z7M/bVy9jv0T5vvJH+Av8DeaxuDZtl4+yg7 9zkeOf1IXT8g35vny7ad656JHH+CPPDGuoTcl4NFjn9Bvla3wblFxjuR42+Q 1z5ga51UOErk+B/kPvaVvx6pESty/BHyUXaRJwaZJ4oc/4Q81/6+bgXrpogc f4Xcev2lXJHN0kSO/0LutLBK/+vtM0SOP0OeOMHh1N4eH0SOf0PedmBUnrkD Pokcf4d8fTcLO5vRn0WO/0Me0uLUmfrTv4ocf4i8Xu0SBQouyhY563Pt+vT/ Nj+kzQel7q9c9MUgT9kPxxf/a43fLVeF9XL6NUfbh0XvCl/YZ5Onj9cz4dQB YYNvRAUL7yp00a5soTDhZrFLCzz6PUr4mW/X8ytaxQpPP1ZsRGubROECHSfl /9Q0Rbivqf/ggHZpwkeNm547bZmh9q/YbqN1/T8IdzL4MmzMqE/CW5OGerWf 9lk47M2tIpXtvwqbPvpj1MdV2Yo2//X0UrCxzycPHfygncOmgDtHhcPeegYU K6Ben3x4R9/SaSrvtGxearmlur7j+SI/WrT8zlXN04QtL17qnbFZ5YH2+55/ WpgubFCr7baxz1UuFlO19KTrGcIXtt54+rJ8pjDxD8afMH608VDbP+IjTHyE iY+tNjdckZb/uPJ3+yvipeRf9PERJh5KPkYf/2DiHUx8g4lnMPFL7NHHK5j4 BBOPYOIPTLyBiS8w8QTm+Ur80D+v31aGdLRfeV74QJ9cu/z779X9/55/2tmh +eyAEVdk/EzLHf9Bd/2qMM9T1h/652e+c3Z6N1d1vFoO6DfHasf3dUrFywmd Nj8S/Ub2pU+3Uh4LV+k+2X/T3EDhPgsrnDF6rPLAAl/rfD36VnhzC1ejed9U vj/Cp32zuHDhyKxKZ1PLRAiPb78xMc4wWnj5y4ghJxqonL9a372HK8QLG3u7 FxrWWWWb7N9cTMonCw/r3mpQoYYqH06ckZW/ZqrwqVYHzka1Ujn19Qvr8Ebp wt/qGBa82Vnldg9bHbtmnilsWX7M0P02Km++cuDrX10/Cu8r4Hd+3hCV37gZ 9pndJ0s49kP9wn0mqNxg7xhX62FfhFu93zKi4RyV7df6GZhM+ia89kWGt5GD yjUcvriVn5H9w/tn/S/+1vBTkyuJ6ngw8Hl1/vrLNLme/YH426n2Mxs0UfmC 6ZAM0yoZcj37B+SDQrLPOs1VecLBd02PjMiU9Rbjl/0a/V09pN72wGE+wqzH 4KWTjlR/OVSNn6zH4Ct1mi3qvEmNp6zH4EUzR8QNePtOmPUYXNGm7u5iHyKF WY/BFxuldrr7mxp/WY/B/YpeSllUS43HrMfgrMx2PStUVeMz6zHYIsrlSEZd NV6zHoP3PC/wxd9Mjd+sx+Do25Ns3Duo8Zz1GNzinP/xVVZqfGc9Bq90bpo9 YqAa71mPwS+27rZtO0aN/6zH4F4ztiZuOnxFV2O3972egcmKocs+O2v7i7oj 88+4NLierLheetjUd93NH/5f0/p/1ufT71W5vXziFp32ebF+4/nAPA8Y+2Hs hbEPxh6Y9QdM+6wHaB+mfZj2YdqHaR+mfZj2tflN/o9ifsDMB5jxDzPeYcY3 zHiGGb8w7fP/F+3DtA/TPkz7MO3DtA/TPkz7/N9G+zDtw7QP0z5M+zDtw7QP 0z7/79E+TPsw7cO0D9M+TPsw7fH/Ie3BtAfTHkx7MO3BtAfTHv9P0h5MezDt wbQH0x7M/fm/k/vD3B/m/jD3h7k/zP35/5T7w9wf5v4w94e5H/+/cj+Y+8Hc D0af/2vRh9GHuZ7/c7keRq6tV2M/wn5W8l96OfsR1vf8v83+BWa/oZXz/yb7 D+TsP6R+Tb//kHo3/f4DZv8Bs/+AmW8w/aV9+sP/pzD/j8L8/8n9kXN/GDnX o8//oTD/d9J/5MwfGDnXo8//n/I89f9v8ny0cv7P5HlyPeMTlven/z+T94E+ 4xHmev7PlPep12c8wlzP/5mMD/TZf7G/YPxJfko/XrXjSRu/kEv7eqb/MPbD zH+Y96EdP7RH+8QT5DBy/D2MP2a8wMjxnzD+jvEAI8dfwfgbGP/B+4eR4y94 3zBy/AXvF0aO/2C/i78gX0g9I/lF6gvJV1KvR36T+jvyodTTDThSw6BSjWSF eqxSk5b1XtYoXqF+cbZT7z2Xnr5VqOdrGX6rXQ/nQIX6vKzu4x7p3j9SqLej Ho58HvlL7l+yV0S+t6NPKNTXMf5gxqs2f48++Q7yD6z3YO7P9bmdt5j5Fb8q TL4Ypv8wzwfGXpjnCfN8YJ4/HHQq5VPJXBHC5IvhORsuHvUrFy3M+9S+D5j3 r30erD/J//A8YOTkg5DDyMkPIYeRky9CDiMnf4QcRk4+CTmMnPlL/CAewIxX 6oNh6oN5PtTvIteuD/GPjA/qQ2HmH/4UOfEa/0k9aIpNlzvR01QmnjOekRNP iD8w/obxQf2uxHu9v4fxF4xn5h/1mMw//BvxE/8LM76ob8Zf0z/GJ/XH+Dvi If4eZrxTb8z4ZH92fPvqvh8apir830R/me+Bae+Xp5ul/LCfIh9HPIKJRzDx CKZ/MPbBPA+Y8QbjX+C91dv6WRVNkXjF/hI5+0uY/SXM/hJmfwmzv4TZX8K5 P1qd+uqpxkP7ZbsWXPNJlHiXr9nW/ufXxv6wvu/86un51qHvlEkWUX8km7yT ePXGfHzqqKWvJD7NOLH3U/uXT35Y385p7Jh37O54Gf/s90utatuz8qt78v6O u4w0SG6RouwPPDv9afFDum22a082jktU/Ge7xW8KeqoMqHolpMndWGXE2Qcb 4uNDlCYnLMvezh+mTKlxJzjVK1IxmGtS8fD3ODYgM9zrum20krX0zdgBj54p Zayrlol/GvtDfe8/rectvrnasnwZyYr3jbEX59up8r+r793jGFTcbHGyUt7L d2PJNT5K0Nzj34yHJiuDK5sO+eL1z+t/GX/HElxXl7n/RDlk/ND80Q51PZxT fXDNqoGlXv8ZrwwxWDPv9/NqfeDf1Qsz/uvt6u05s2qIMrZWicn9rqvr5YYX 37kZzIxRbIZ8OeSwWtX/z9YXr67QosbZnlGKtt7w7+qNmb8RFvWmuxaKVA5b uZ1K/qKur6v6Vy2RXjJUGfby7IBuhXKuT8Y/vHi/Vin55L1i+GXR7Sur3sj6 e8+zdZGd8gYpi+pfv1p9t6r/d/XM+J/fI2anNe4Zq/RJ2HQ4tvML8de1fDKy XuR6rARVNc66nC/n+uc+rneOJMzwk/jkYW/4xC3WVdb345Ifh2w55a9bP9z1 y8UodT9pN2GQw6bvfjWrYI8GQTee6rT1DuRzc6qX5vo+uYrXvman1rsSPxP7 lvadWVONpznVU1eaMNW/eki8rL+J78FG+8qcWBCYY71107DsEjOfqvkD4tnZ z8s7xpRQ691Zn7tO984e5Bkh63XiawWTG1+sHX+s1yaeNap58KPrvB/rt1m/ r17wtfPVsup40K7fXSzCC5+Y/2N99+9W+29Mv3f9h/XE0+pzC+xzT/ihXhuu fi+79d5rKUqHj65bN/oF/bCeMC03zNR3f6rkq+37LTGdbn9EsRrm18q9UooS NMnH12jIMaVffavo7dcjFdMQ+7pd08MU9zW3Shdo46MUmbK/VJGmCUrI2c8G J1Y912Xv7FnccGKqsjjf0pttdgfovC0WTbzaK1Wx+XNf660F1fEzLO/J20fa qnzpzKc+O/IkKwOWxtnmtnmk7F3mP9L5TpJicXx8teBy/sqG03u3Zs+NV3bW cfxYpcNLJdecC1M7OLxXBpRceDVi2Tul3fAQV/v4cKVlvo7bOtpFKI6vLh+2 KRCuZH+s+6SUYaRSzvyaU0L3h4p54xIOszvEK9++HK64+8AlpXq9kLT8dok5 1t+G7jpVf/OUVzrXA3WO1EpIlfjl7XbttGvBNGXUAou8jo1TlMNNwotMKTFb yTJ/FLXke3zHvisLPpQy235GOT1y/d4e8ep+5fcjH1et90pUpv1Vxr/lQa8f 9i/yPnOoH67lZVdyV50U2Q+zX/LzX+bRdtyuHOt/ew2onendXN3/EH+XlLQe P2GYs84ufnx+k2g1P1O4hEWw8Ztkpb/b5OA1y64ondtdWHvLK1mJzF//6m9J N5QwU7/L9m/UfEtwu9/+HHk8QTHxmFF58cAXyoWGrZ5Xaq3mT3pN2z7oS8MY pWLBjZk1c4fK/nX92Ondc19KUvaUcPNwM01R9nTZa3Nyh6euzxun0M3f+201 fFja+XdndVzP+kZ7viOvTfKusl7u8j6MrYNmHy119Ad/xvkI5hf3W3u4UGL9 8ZfV653LLhlz6Zpw1saKfzmtvyvssHGHdZ6IO8p/9vwA/oD2r3Wv6Tq95CO5 n5mlW2qRK4+FvVdUPno145nw4hWvlk01Vhn/w/0qjTzcoFbLQJH3HRlpM6tI kHB6+5PZdWuGqPOz/YTgEOtgYfyd1MtUM129bdxbkXfb3OrFtCqhwn8tOWBi WTdMeGG2fYWa198J41+5373E0GkGD8JF/n6K4fI/zCKEmw8Z89KwQ5Rw+Ted 7gYHRgrj37nf2IfHK3uFvxe5Yw+/hm96RAs/N2+w8uKAWGGvK4VnbU2KUeev Pt5wv7zu0/wmf44TeXWTrSHbR8cLz6yYaTpteqKw7d6Aat3yq8x+hvs5NTXY Orl0qsg90otVXGahcv/4Dj5TrNOEu5qYtrGrqHJoucFdPhimKF+q+oz56Ocp 9RvcP7n6qOiuxulyvUHErOmD+qp8PPhoJYtBGcK7K+7cZvaHyuzvuV/bkr5t a9TPFLnVs6C7zUeonOlnNLPmuA/CUUZZMcWbqEw+gPttNDTZkd3io8gP3DSv UnKKyp0vTblnMOuTOv6zBrdLaKsy+QPuF5KyKe5VpyyRx59xmpU4X+XtJ55W DVnyWXhFzI2dvhYqk2/gfibv0tpfsP4icvNDee7fc1Q5YrfZHK91X4UDgmom OPdVmfwE97P377d7y6BvIl+7eZzxkS0qm67e82DrrmzhGr5rOi4ZofLPni/a 9vbm+c4zkyX/Ybr71dDOnZIV5bDL3IcL//vPHwUXdO9jtCRJ6dB9cezDfE+U hikhzfNOSFRa1G+t9LUO+N6/kW7VrRKVjbn2x8YcCPhvP6/knMvsavCaOMWh 0/zMmrbBkr8YNHLl2n2RL5U2xZUJ477FKN6FnOeWW/Tm1/kmzfmmr2caj41N dVIel/vqb2WfpOy06jJzeD31/3ryZcNXOvXasOCBEr/o9wtd7t9QLi926W7r q+bHPKb2ntmpSaLSx+n33t6udyQ/Fr9hfHObT4G67Uta9bFzV/Nh/h0ObjAK SFWKTb1VLEn3XPJh80p5fjx4Jlk50PSvTgXm3FQqOtwyvOj8fX84cfms5eZh SsWAQ7OOFn2nRG3x/HZxRJTinZj6sGPZV0qXK4O7PfkQrUxb2PH6DNcnSq8w tzKek+OUa4fOmWxw8VPKfPKxangg/ofzUd86Pr7fY9MD3bxKD8IvOKcoMQ7n Fxf6vp9c43RwxP3v73v1Ia/oF7XfKJONFg6Zd+a9ci6t+6yD8c+VGuMXfhxj FqsMd2s6LjMrXqmSd9KHzYWDlNLTerU4ZRetOKQ+i65wO1Rp7Rbnsj0oQnGe VbWX0YlwycfRPutHnjf5FZj9JMx+FWY/DJPfgdnPw+QTYNonv0b7MO3DtA/T Pkz7MO3DtA+TT9Pmz2DyZzD5M5j8GUz+DCZ/BpM/g2mf/S7tw7QP0z5M+zDt w7QP0z5M++yfaR+mfZj2YdqHaR+mfZj2tfUS7NfpD0x/YPoD0x+Y/sD0B6Y/ MP2B6Q/5AfoD0x+Y/sD0B6Y/MP2B6Q9Mf7T1FuQj6B9M/2D6B9M/mP7B9A+m fzD9g+kfTP/Ih9A/mP7B9A+mfzD9g+kfTP9g+gfTP229B/kX+gvTX5j+wvQX pr8w/YXpL0x/YfoL019tPQn5IPoP03+Y/sP0H6b/MP2H6T9M/2H6D9N/mP5r 61nIV2EPjD0w9sDYA2MPjD0w9sDYA2MPjD0w9sDYo623Ib+GfTD2wdgHYx+M fTD2wdgHYx+MfTD2wdgHYx+Mfdr/U8gHYi+MvTD2wtgLYy+MvTD2wtgLYy+M vTD2wtgLYy+MvTDrDc63Yz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M /TD2a79Hxv9j1NNq68HI73I9zPUw+UvOq6APow+jD6PP+Rb0YfRh9GH0OX+D Pow+jL72vCr5Sv5vkPMk+vwK+T/yITD5DJh8BEw+ASYfALOfh3lf2nok9tuw th5NW0/G/pLxCZMfYz9J/o39otTn6feD5A/Z7zFfYPKb7O+YXzDPV/t9Ou35 XpHr24PpD0x/5ft2entg7Id5PjDPT85z6t8vzPuFeb8w7xfm/cK8X5j3C/N+ xR59fp7zFoxn7flr9ksw+xfsQQ5r9zeMJ/wNjL+B8Tcw/gbG38D4G+14ZX3P 82c9y/uR70/q3x/rH8YD/hp78V+ML54f4xHGf8P4bxj/DTM/YPw3jP+GeZ4w zxPmecI8T5jnCfM8YZ6ndnzgb/k/hu8tUp9DfQv1N+Q/qD/je3Ew55fJB5D/ IN/C9wqpt6H+h3oavsdH/oX/m8ivdC9YMNK4pDqeYfqvre+kP8g578385P8O nj/M9XzPkfFHPpH3B1OPRX0R45N8H+8fpv5N+71D/BdM/KQ/1BMxnoknsJxX 1/s7Oa+uZ+T4P+QwcvyhnIfXM3LmF3IYOfMROaytf0MOI6d+ivo/zn/DPA++ v/lxebz709bpIuc8ONx5pnXuU10yhTkPDu8ccW7Amt4fhTkPDkf0KucxamiW MOfB4abt7fO1m/hFmPPg8PJGoYMqzv0mzHlwmPFFvoD5Qv0rrI3P7JfJD1Mf CxO/GW98b5P5xfxg/SLnM/Xn46ivg5nP1JOiT/0oTL0ozPyGmf8w/YWxF2Y8 wLxvmPcL8z5h3h/M+4J5PzDvR/u9S+Inz0vOM+qfD/4IPqrzy2N3Pk30Oc+I vpxv1F9vMGd9je39VLYzser08FO66HO+EX0578j3VMOKjsq3T+Vifz1ZrrRV zzuyPmX+aPOl2u9X4n/w/9rvU8DUE8PES5h6Ypj4CVNPDBNPYeIRTHyFGd8w /hbGP8P4b218gIkHMP4HJj7D+BuYeA3jb2DiN4y/gYnnMP4GJr7D+BuYeK99 n/I9AD3L9wD0zP6H+Mj+gOcB87yoT8b/s97n/cG8X+rr5XwO9WOcr9Az44X6 e+IT+wPGF8z4oz6Y/Rn+jO+z4s/wL9RP43/wj3y/luuxj3wU/ozzB9hDfgf/ x3kE+k9+BH/J+QT2L/gTmPdFezw/7s/z4X7yPWD9++P/APwn8ZLngT/nevL3 XM/75XnSP/TF3+n1iU+MF5jxQjwj3hGfmI8w85V4hj7rR+Ty/Wl9++wP6D/X y/kK/X6B94++9nssv+qz/73rs3kf8e4B7eZ5Jf6P12en5jk5+JDvXV1UkdSg msNSlKyJM4z97Tzl/89f39/519/f0daj51RvnlO9uLYe/GfrvbX12j9bj/2z 9dY/W0+dU720fE/FrERZ51Pq95T5vpG2nvpnv3eUU/31//T3kPDX8j0kTX2l th5cW++tre/OqX47p/rsnOqxtfXX2nprbX11rfN3/RJ9f6ynLlBpb08Pd7X+ hfyVth5VW18t9Vaa70UxX3Oqv/7Z70n903ptbf2O9vtUOdVz51RP++9e783z XFkn9Vzg6OR/XN+t/X6JfM+KfGYO9dniX/T7iX+3emz2x/irX98r+9ffK8up Xv2/ur78V734r3rxX/Xiv+rF/65ePKf675+tz/7Z+umjvZ3rdV9/U+KjeVrX Cbavbwi/MPnD5fLFc8LkX+Ff3z/89f3D/03fP8ypHp583zWTKUezLdR6brFf ny/+9b3E/ze+l/jvdp5Bex71n55nkO8nu9ldWpExU/ez5xu050O4X+gS6w/j Cycr/wHyTw03 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlulv1UUUhk9vkdYWabHALaW1G1Bqq9TWstRCwb1qUVBBqlVEUEFbZKso KqDIovIF933fhfgXuHxwiUviEo1Go9FoNBqNRuMal/fNPDe9H578Zs6cc2bm LHNv/Yq1i4cyEfGNKBTHiW7RKSaKceJQcbKYJ2aLIpFB/xTRK0aJ0aKAtRPE XDFTTBeDokmUiIPQLeVrf4vFIjGG/Q4RY0WWeQVYVsb3YPwtFH2iWCwRZ4ty 9ErYp18sE+PF4WKqmCbOFwOiUlwsVok6cZiYJKrECnGhqBYNoob1ycTIZ2xE Vss9G5A1iyPFEaKFPb2+RqwWU9hjAr6GiJVjtl6sE634aObsM/jaXzu+vd7B 1+vDYpNoE7PIZwGxqSA23eQnw9pocpMhJ57PF1347kVeiF4JOcjlMjcfS/5K 8nLlWpiN7SLkpaxVkOM+ZEXYW+b66xFzuOs44jSBfGaxn0g+qrDL5ulVkcsB dLLks5b5JHJXg25tXi6r0Kkhp/WRaqSR9QbyOY18NsVILTSyPpV8NZPbFvTq scvVYgt6ro3LI9VALt+5GnIMjsrLdzt57kDvRHEsOT8zUl+5p64mjl3kdya5 KCQv7t9ryHcHsnnIHftj2Nd11B0jNdPJuB0969wsbsrbr4d17zk3RmrAZ3Of XoX/Oezdhb7rze+L+7qIeTFn6sVPGb7s5zpxKuvW68POPk5DNov4dBIX25Zy p+M5o+0Wsu4YLMDn6cjtZyvzYmRnoF+KvceuMb8ddWIb+RiDbCVy16570u/S BZHeo0pkS5BvF0u5o2XnIC9Hr4z5MvxlGVfy7Wd8vTgXXcvOQ74Uv+XMB/Ax wHmqsevHdjJrlt/AuSvRXY68mvtbt5ax73sR9/e6+8hvrt/ASxjXwSrsGhlb Zwf2tnW/uH/cXzdib7vLIvXPFFiNjybG7inX3Vnc13teiq7fWveQ+3AnvnI+ 1mDr+j0pUn+8L96L9Nv4gbgzUv3dJT6MVHPzxS2Rato9vQs/d4iXItXWSu7g 87tP3T894D5yX2yJ1J8d2LjWXZMbxZ5I7/wVYnek34trsTmac7hei7nrTu71 p/gjUv/9JJ4Wa8VvYr+4Uvwt/uJcrvFtkWr4H/E8+7geXVvjiet2Yuv6cn24 NpaTv2riO8g5fxHPig3M17E+g7Hv9ZD4En8PiM/Z8z7xKXs+JX4kxveIjznv c+JX4vSE+J4YHBC/i83iEfE1Z3xMfEtOnhE/E1efZT3ncVw3EVvHaBj5LuI3 nfUt5GsIH62sD+XpDONnA/5b+W7E5x72aEN3M/pt2DtOu/Pi94N4MlLtDrKX 5a5Lv4OumVfEq5HewdfFa5H+990mMgWpXr8QD0bq++/E45F67F/xMme4VfhH wDX6onghUr2/Ld6K9B/QuvvQ93/MRyP18BvizUhv7lfi4UjvyDvi3Ug95vz8 x50/E/dHeqtGac/b9d0rPhJ3R3qLCwvSmuWfiHsjvbn/Ax5QzKw= "]], Polygon[CompressedData[" 1:eJwt1HdvzmEUxvHzlDfiPahUqdgEQUpoEKQEoWkFsYq2Soe99961au8VVO1V e6tVe4vN9+Rcf3ySO788zz2uc+67TmZOenaSmbVDbezBY3THeMzHNbRBW6zG c2SiD87gAlqgHk7iNJohGU+wCr3RE5dQhdZIwVxsRyNMxVq8RD/0x3q8wUAM wlLcRxd0xSZ8whAMxUqt6Wv1QhneIxs52IbfyMVYbMFXDMcIHMcPjEJ9TMdl tEIaFuMO0tFJ4yXorG83sQgd0R4L9c3HHbAcj9BNGVdiGhoqs/NaM02ZXsUM 5eOZfcdMNNAey3EUjTEGJ/ALo5GKWfijs9ZVLReo3l7THbiu2o7DTtzSXvNw RTVLUQYH8UFZFqsWy5ChmtzQHHla45jW8Lmb4DZ2IV8ZWSIy96wnYS+eqnaF 2I0HqnWBaleus3oNf/oUzDFZZ/asaiWilzyzf/irs4/EEczBFGWWlIjMUvXN e2kzhln0lPfORgy26KF72lOBau5rz9befQ/eS1u1lveU9+4GZFn0sNd+BXpY 9EAN9mMi+qJaGRTqNwfw1qL3i3AIny16vUT/fWVxV3yOw/hm0culOGdxR/1u NrfotbMae889wz5MsLijPn5hcbf9m9/Neaqd53kRFWiKlnhn0RPFOuMX7aFU GX7UnkuUod/tdRhgcce9F+5a3KV8vNaZi/SbUxZvSrLW9LdnjbLyN+ihxZvl b5X34H9mZq35 "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlnWU10UUxXcGUUq6FlFaZGFpWGklFlgDCQHBRAVBBEQUMBAVDKwjFioi IohIHLu7jt3drcfurnt9n99Z/rjnvfnO/GbevHfvm1+rKbPHzMpFRUWHpKKi KrIzZC8U6qTwLxZaCmcK2wo1hGXCdkJN4XLhMmGWsFRYIlQTlgsXCFOFA4Tt hR2FS9jTe68QLhVmCquEK4W5QhdhJ6GFsFq4SpgnrBGuFo4T1grXCAuEa4V1 wvHCdcJ64UThemGDsEjYJGwUFgtbhM3CqcKBxFUqdMb32ReRhyOElcIVwhyh o9Bf6Cd0JUbnp6fQRmgr9BbaCTsLB7H3AKGH0Jp1Zcy3F3bF7sK+JVudY9tJ 6MN8B2EQsTpPFcz1FboRSythOHH4nMHMdReGYHtgWxHT7tzH64Yy7zsNw/YS RrCf4x2J9dnlzPu83YirKzF14D57MO5HzrqybjS/8fl7k6eBwiis77oP1uvG sNZ3Gk98Pn8s33y/cVjfY1+s101grXMzEes77Yf1nSaTU8e7P3bPFPyvLlQV JrHW66wFa8LaMNfNH3Pd3Dd3zCXzaAb3tj6sG+vHOphJzayDWdTDeppDXcw7 a8KcsT6sA3PMmrAOzDNrwjown6wJ68B8siasA/PGmlhEPayJxdTFmrAOOhK7 eVVK3F0Y70nd+hNrN+rnWLszdqwFTjnWnowday/GjrU3Y8daxriggTJi7cPY sfZlXEIMHh+cgid7peBIQbuljAdwRlvOdHzmRoHjtuaSe9dsoT5nVFDXgk4G p0oNFDQxlDnHbf6UE/cIxv3I1x6pkmcTiGnvrWIexbjA71HENJqxYxzD2HGM ZVzg99hUye9xxDiecTlnjicP5cz3Ja6KVMn7ialSz/52WIqeWEqeDyf2I1Nw uA7fDuL7tBS8N+fd56fgF/Qzmf0OTcGvQ9h3L8b+rblmLpn/5tFRKXRRN8Ub 4XE91llT1pH783TiqeCcSXzzmtqsc8zm7HJirc14JmfO5lzvfwn3rEs+JpEj a9v6t/aPTqFNc8YaXsb8SuYaCMek0Kz9Nvjm4irmGgrHptByQ+bsm6urmWsk zE+h8UbM2bdu1jDXOMUbd7LQTFiYog805pv1XpxCX+4J1pbfyhOEpin0bc4N 4pvXNEnxti7EPylFD/H6DuxZwl4n8u061hUT3wLOnE6dXI9TUvQcx7mJ8Q7C aSn6j/2O+H7vtjDXPMX/iSXk+xz8Wtil+KfjV8OewfezqF0NrMfVucNizjyb OtbEns36JZxXk/3OZU9z1v29wEf7tbHL8afhT2WN3wDzsTP5Hsg358ccNu/N K/PFWrGWrA/rzJq0Hh8RniQntwjD9cftvBT9fw11d+6vIf++30buaD5cT/18 zhWcdSprnP8NrHGNrInLtorLfn3s5fiz8b12Lns2IIariWcj9fb+1pzfuYLW 7Vt31py1Z61a6yu2WruCNaewj+9kXmwh9s34zok5aC6al+azuX48Y79/Bf7a L+YMv8HW+z1C7xx6fF/olUOr7wk9cmi7p2zNHHf0XVdy33Wc1ZTzPLY+5lOX 44h7A7ktxN2J2Nbx20WsMTetv7Xkcj33KmZ/17cJdi2+Y9+e+P3fwH2kEWe7 FtZlNc2/S91qy/8gRa9pKP9jclZf/kecX1f+h9yjqfxPU/DoZeH1FL2+Ro4c OT9Z/lspdL+t/Heo5zby36bOzeV/Tg1/Fr5PobfvhK9S6PNmYaTWnS/7p/Br Ch3WylEb16WZ/M/gxTD55WihsewncOEN4aYUmr3VNcnxNv0tvJlCo/5P5b7s vD0mfJlC63OZc29uod+9kkKX8/jekDhWsfZo+DCHnF9F/ufhtyPXq/l2g/Bt ij7zotA+R39pLftqCs079j+Iv52+v5bi7b1R+ClFX/pXeIla7KQ1T6V4b1vJ fyZF/2gr/7kU7+4/wuMp+ovrX5YjLte5T45a3yf0zaFf53hIjjyXyKYc/c35 65Ajhw8Jg3Nw2xzZPQdP/K2Y767JoBx1GSjbKAfnb2Nf72kODsjBwweF3XJw /gF+4/U/kLsa8OJ3uPEbeXFOvhAeTfEmPM/9D4Zf38CxZ8mR8/M0uXPeHhaG 5uhXLwg75/jP8rXwS4q34wnyeACc+isFr+4Vds1Rd3N8xxw8N8d/TMHz//dm f9+vCXc0v4pycOx2oVOOd8G6Kc2hnTuFrjn6oe12+HcJ3XP0ZGuuSw7dWYsd c+jxDqFzjl7nGOsQp8+pwll3p+hx7mnuE91y9ArvXZ39zYt6cMP7VWVPv0XD 0KB52iYHV91f3du9pr/3ztGv3GP65egz9zPn7+Z+yxz8/w/LFYkP "]], Polygon[CompressedData[" 1:eJwtk/sr32EUxz/PB8PXdXx93ZtLSFpLkknSUjI/+t2dJCFpSVpLy6QN3//E D3O/zHVYrm1+4E9AGzHlGq/Tc354dd7nuZ7nnPOkN3ZVd7qO47yFQPhpHOcE BuELxDOZAJ/QiZCJ3sPWQYuM4SfBADoJHPQvbA00QR7+NDYK2mAfsly7tx5i 0V7ol7sgFz2FjYRW2IUMxpr1zih0NPSi4+AMfsMIDME2vHLt3bUQhg6HHrkL XqJjoA/tg1C0B7rRMZCNPtDYGiACPxI+oL2QjE6Bz6IhCP0COtDREhPaBx/R CfAaPaNz7ZCDf4wN15jf4M9KXMaesQVP0Kg5LGB+XmOXGG/hRt4F36CQ+QWN Td74H67hq655gEfNZQTcwb3ulRgM+13X1kZy/h69ifXDGFThV7pWy1gJeklr JTn8o2v8GnMRelFrIzmrwP+uZ40ae9aEahnLx5/T3HfBFVyCR9/wjvlV7S3p wXO4gGFdI726obWXni1m/Q+trfRIMH6Ia8+WHAegA11bC+lJeeuhxi5v+Ad/ pS/0jnE4NfYvhEAZe1eM/QtS41T8dWyKsT1Rir+stZeeLsdf016RP3IEk1oL uTON+R1je1V6/BkfzFyy "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHl818URDTuLcoqioqKAgCCCR+/WW+v10QoKAlIIIsgZRI4olQgEjJGr IIfRcFgVsEIVtQZtjWBRBOWsBwWxKEXRaq2Ktbbe9r2+l0/yx8vM9/vdnd2d mTez+bUdNLrHDamgoGBXvYKCgDwbf5rkgoKr8bIh9Csh+wCfACfj+XLrlD2B wLuukL2A+tC7QfYGGkPvDvlL4GDoVyTZbAq9B2Rf4DtgG/Ag8BnwInA/8F9g E7AM+ArYAjwALAX6AdcB3wBbgd8CnwIbgfuAerC/EnIFMNjjC4HxwCiAh33I NkYCQ4H+wDXAMMsBwHDLa4ERlgOB6z13sO1RDrHdIbZ3k8fx+1jboo3R/s51 vgA2A8uBMX433DYKvacbvUfaeth6MfArr0d7N1vSxgRLrrnKY0uAibbFfZV6 PudN8jv6ZrIlvz0KPAKMA26xHc5vCd8eAzwPvQPkCaE1b/MatHe7bXGd6cBU 4Fbg994Lnx+3nOZvJV5nNVAFTAGK7O9BwAyPKwOeAuYDdwEnYv1WoTWftL3Z wBzrXP8OS9qYazkT6Ix5JwGzoP/B82h3QR0bd1rSRoUlbTwNVAPzbKvMPri7 jo1KS9p4BlhrG7M8thxY43MsBI4PzV8EPAussw1ykLwhf9pD35Dk/38l8fCq JA6Si+QkOUgukpPkILlLDpN35CI5Sa6QZ+QG+bfCvmY+kmfkALlI/jEXyV9y mtwmL5mz/T2f+U8+kIvkMXlCvpKX5M+RmPsnn5G8vNcxZf4y18Z7PnN8ZKrl 4dBUy8NhqZaHw73XIj/X8JDza3g4yvNH13nmOsz1ZiF+jLDdMR5X6PmDvcZY f+tvW0O8Bm3U8JKy2PFn/k5MtZzk2bqE8uyPSVwp9bdijy+xjYl+pu1Jfq7h JJ87hvj2mOeQC1M9p8zPBHN7uueRE+W2dZvHcU+ldeyW+xvBvJxpu7RB/lTZ DuewHkywX8o8dkaqrTs8F3nDnJ/v+XP8roaHc1ItD/lM/s21rRq+LUi1fONz tXWOaxHKp/VJfKr0GK5H7pBLrczp8lTLQ37rFKoXTyRxa5Hfk3cLPbfcfqF/ XkjqJ8zxQ0N5U+Q8Wea8OAD8MymnmbfkzgCD+c+c3ZVU76Z5znKP5TfyZaBB Dg6yXGn9laS6z3zZB7zqOLwF7Ey1tbLKMfpLUp1lDLcDv7MdznvMcXo5qf8x f9valzz/fmCP/fpaUj1l7HYn1Uf6uLVzmf79a1Itpt/+BnwA3ON90cfMm3mO H2P3NvC6n99Iqn1c972k+ljhWK1zXPYm1Y3FwN+TegPP+n5Sfaz0nLXOgXeA Nz2fMW3ruI6zz5i3O5L6YoljuMkxYRy2OQ5LHft+juFWx2q1/V7lOG9xnFlH WSsLnQfb7XPGebNjvcqxLPZeXnUs6GPmxzTHbYf39rhjOdWx+nNSjWQ8X0rK w4+T+sASn/sfSTnN3HnXe1nrmNJXH9qni+3XN+z/dZ7Pucz3jT57teNV4Tjv dg6scewZd+YFc2W247/BOfC0413tWL3jdV53vCsc8/3eI+8b++ybPY5xpc9b ZH9+5DNw/7yHHAv8xmc94POeErqjsi8my55+z375i6Remd0vTw311I997n/X ied/6uTI544nc+HbpHypWYP996BQ363pkfV9J+Y64X7MXPjSudPV+2C/Zh59 nZRrh4VqDc/MO3JT36EbhHow7wGUDbwW+3pD360bhfQ+zpelzpkrPKebxzay Hdpt7Pt9k5DO+8EhoXX72veseyO8l0M8huc7yOdq5j2Ps70m3sNYf+P71r6n /TqJZ/xHg3XuJZ+5yDnJ2s74rre+0LKF3x9tnd9rajfzsDnkEV6L34/yePKD 99Ulli2dM6xN3E+5ZWv3jHauG+QC5fHW+b2Na99xtkPbbTyX59rr/HwuyR/N vR/2nE4ewzxr77nkP+8E7Jul1qdYdrDOOnG4+/4GzyW/+NzBd2/Kjh7fyj2O a/E87K8zLXkPYT2e6+d5PmM7+5Nn62w/POF900/9zIlCf+/iuayDO+1Lco4c I7+uxP+Od4W43h16ZYjT7aD3C/WzbtCnheLfA/qiUA3qBf3eUD9pxf9Bw/UP skeoPq2HfM587oAx/UP19SHIa0O15Ci8PzwrFx8FxoZq0ibIzaHzvQD5on3b BWMHhmrwj6CPCNXmn0IfGapzoyCXOwd64/0Y2+wEfYDXPRt6cahGngH9hlDt PA/y2CxOvcbaE+Ln85AbQnXumtB5eBaeg3Zps0/IF/RDYciP9OERkOeYaxdB 3xLKvYtDfqfPLwn5l769nTEJ1Yaj8a5lFp+PgTzXvB4U8gX9MBn6BVk2r4P+ g6w+PDzkR/qQ++B9gneJYXj3/aw+eSrk4FAfGxJ6pn59yKf0540hf9FXo0P+ oq8mQD8vqx4UheLBWFwUyi3mFdcZGlqrOc+RVdcmMp6hXjgl5Bfun+eYZP+c DH1WqNeexpwN1fAVkCtD/eTh0Jl53lshHwzxbzdrRuh+UAr5gLmzCvJC864s NIfjN0Ke7zw/A/LrUN9ZBnl66K5wJmTKqqVnQT84q7YzJi2y4tI6K36MXXvo 00N+nwF5SVbt6wg5M3TPYF4clpUbfSBLQn2Y+Xunc/hMvK8I9fUG0HNWTWce Tbav1jLHQ3Ur8P27UE/7Bvgi1P+a4n3DrJ7UF2ibVftWM0dC9ZZ1i72WtauK 78zxqzH2ptBdgDG/ORT3ntAv85i5If/StwsgHwnVn3Mw5u7QXeTH0O8I3aWO y8pv5vbPIOeH7ijnQ18YuvdcCH1xqGYvgbw0q2fcB1yedbc4DXJO6B7G/XJP 3M8F0H+YVftYV1gLWAd6hbhNXu/hOqE7xC7InaHft1jDtofqGOP/rXNgL+Sb od+99kG+Fbpz7Id8O/Rb0cvMo9BvXTu4r9B9hWc6N+tc9MdZWT65KlQ3uRbP +vOs8zJWjR2vRlk5x3xjvTzSNfMyyHtC/XYrcHFWbX+S8Qn9z/Ms+e2YFmTl N3ObOVIvK09YX2eHaixr9rZQ3X6X3Ardh07C2M5ZfY61eV6otjD+vezz7qH1 uFY15FOh+yB5f6i5zzxd51xtlvU7Ju85/89r5/YzjE/orlg/i3vkHXlwehYX LoW+JnRn6B2q0azP5DH7Frn8EfQPQ79Bvg/5Xuh3yk95vtDvmuRomyyekitf mS/k6AlZPP2cMQ/9ZsmadGJWXfqAPg7dC5mDp2Tl4ZfM6VC9+oz5FbpLsSa9 EqpLzPefZOX8+BDHyK+ukPeH7i+3hOoCa8IB6J+E7rWMDfs477bk0/eyOPU/ DA/YLw== "]], Polygon[CompressedData[" 1:eJwtlXnQV1MYx3+d50qTrfIqZLxa5hVZUiSTYSSKytamtzAaoVAmZTcyzDRm MqPJGJOiVVoQUtayJVtpT/uu0qo9LXy+8z1/fOZ8n3PPPfecZ7v1eva7q28q lUqDoYAWUSpNhx1MdoTb0DfBCvRGOIVF1aELuhrzVQq/2Am7wD4ZXQ2qhtfc zngzrEJvgmPo45DC7zRnPAAlmIvdjPEv+Bf9K5zFXmVwN/pU5tvBD7A3n28d ehMcQY+Dqqw9CTonnyGho/DZNHeQcT+8n/zN9tAKFmGvh8fDd9Zdv4I70G1g DXoz3Jff0dqPYAx6LMxDvwtHdfbw2XTHgWEf6O4z4R/0bpiAPgFXofeE9e8w BD0FtqAHwc7wGj07Dh3QN8JS9Aa4Er0djqF/g0noyeGz9ZfPuPtphWPVFfsl xpdhNno7bEFvhvHJPt8YjoF8L5+uQTeFX9CHYAL6PfgxeY+l6CvgZ/QBmI9u Aj+h98E89IKwHgUfo7+EXei3k/fqwPnOy3t+wfg57Exe82w4BvL9d7A3nDPK lf/gE/SnsA49Eoajn4e/k2M2Fd0WhifPbQ37TL46qpiFfSJfaI+30E/BtuSc HY++lfOdrbzDroE+o7AvqzP3oXwdzpWh8Ca6P2xNrhl9uyPr6+cz7NDZ5MPk mF2tXFTOoyfCQq0P+2oOzFXslffJOd8X3ZL9lstX8AJ2a+y16O/hAezLsZfI N/A09g3Yq9Gz4Ans67BXor+GR7BbYP+JngG3FI6RYlNHuY49jfEd7LqMvZWP zC3Dng7dsC/ArsFYE2bo+zn/1UPq8exV7DKoBYfCd9Zdqyg2PB8R/lbtHPtB 4bsoB2ahZ4ZrS/u1KZzjyu2yXLsXMXdmruG6yiU4HbsS+x7GCuyF6A903sI1 ptqqYOwODZhbgD0FuqOHhWPZmLEH9p3h3LpMtYz9mM6JXZ5j+2LODcW4Jnat wrmhnlWJfh09BN2I8WLsOYxTk8/cDntU2LfnCuxzoFvyHe6HS7AXq3agNrpO 4V6oNYPDMZDv5yfHojL7WjHpCucz9wfPJifX5mLYn1yjS+Q3GJ08dwLdBSYl 97RrebdfONeUM+XqxeG95LNW2M+Ec0s5uALdGcYkf/NCnt8b9r3u8Fo4BhXZ Bw3RPcK+V4yuwX40nIvK8VdyTin2e5J79+Fw7qiHz1avyXfXmXWXZeFepDup 1+4L9wr13JXoteFeNja5FneFe6tqcmTOSeWial69cVu4V6hHjs4xU6zUs94I 50zjnBPN0X3CtaGaUi94Mtz71RM2hP9Z+lcdTu6dq+Bgcg9tnXOsPOdMJ8bl 4V4gnzbj2cPYnyX/A9Sb14f3Uo++nucDwrWtml8dvrPuqm9MDPtUvlTPacL6 XuFeoZq+FLtnONfUQ5piP4Q9LfmfNDSc043yGb7NNaLa2K2ewvhN1iOSe+lz 4d6tnvpg+B+mf5f2/B8YuDEj "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgf811MXx3/V795vsrJXIiNCZM8Gz4NsQjYVKmnZ8ZRsUkZkJFtWURmF klGKRMlIIqNFIv0bGk/j+byf8/m98np1Xud+7zj3nHvPPZ9zfv3rtenSonP1 Uqm0RY1SSf9KF+RSqVFRKr2aSqWrRBeWS6W2ol5qNxVtKuotaibaTHSN6CKN txNtqPYF4peK7lS7iWgT0RWS2UEyj1G7h+hijV8uukftI0Wbi/4jaqO+DqLr 1G4l3l50vdqtxS8T3a52Y1Ft0fei6aKtRN+JrtX4jaJuoi6irsgRdfb3QFF/ 0WPomqKfNTeIrhBdKbpP/VuKthBdbxmM3WRZyO4uukp0tainZTD2H8tg7DnR o97vFsk6QrSxqKfoEvV1FN1seezTy7LY5y7bwfdtlsueq1L03yl6wPNYV11n u1pjW4vutgxk9/Vc5j3ouYzfI7rVsnt77i2iPuaMPeQx+p4S9XPf0+YP+xzv E90vqiEdSqJtpMPaFP39Le96n/Gt5tjzvNcPsOy7vd8Ay0P3TinO8Fnv18e6 P2l7WPe453IeT5g/aBl32P4XLJe5X4k+Eo0TDbJt2PSy5fL9pugl971kuYy9 IXrRfS9aHmPbSs9nxF8Rve79GB9uGewz1D6BD75ajvnYNcScsdd8LqyvI5mD xd8SvW+57P+O90HGKK9H9kj38T1aNMzy3i6HHNa867mMvedx5H5om9H3A+/D 9w8p9ue8xlsW+/+o/hmi7VPIGmi9x1lf5n3suej1mffDjonWj++pnveJ6FPr x9g33o+xCbaTsc8tAx2/9n7M+9YymPuTdBorPkU0yXOx7xf1/yyqK5rmuew5 U/Sl/eIXr+N7unVF95la8wWyORPrMclnPco2fu+5n3v9WJ/bd94HWT+XQw57 zPKe2DFb8meJdhDNsf1TbdNI7zHbcxnrkMK3eWNzPZcz+NUc+xaIZnBXonop 2n+KlnkNc+dbb2z6uxx7M/a77WfsL8vA9qXWg3nLLeM30SKfHWe50HOxtcqc sSW2mfUrvG6e6CTp1iDF3P96b/Q6Tn27ptC5ufjOoj/UPkF8txR6rbQM1hyv vvop7D5RfPcUupwivqdosdoni++RQt/TxBumsKmZ8YfYfar4Xin0XWyb0LuF +vZOcU6ni++T4iwPEN8/he7ziFeirqK53KVoF9H6oiwqRC1F+6XQ/UDxNeLV WU8fOouGioaIyqIzRfumOLNa4smyBosGiUr+rpZCzhui10U1jcvgNvjd2DgM DoKn4Cr4Cr6D1WA2uAz2gsFnqN0oxT2Dy2Bva5/3d/YPMBrMB/s3SoFpYFsT 5whgJ3gHzoP3TZ0vgKeHGw87lQMbaxuPjzT2gqF8g6vgK/GbuEic4Z7AkApu w8EYMHCV30ZX93XzXLAO/OniPuSyR/d/yGIcvAJjwcw7PQ88BYunO8/oYZ16 ltfhdK/yOjwGfyr4DAefwFjwDZxDP/DpPu8JpvXxm5jm863gcW/bcYtl3GQZ vaxfX8uir5/3vjxFjLjXMsBOMLt9irznGst9yGvABOLrKJ9NZR/0A6P7Wy4Y +ER5XR5QyQue8hhUwcwKHoORnVNgOZgHnoN1z3rsRd9rX38P8LoKxrL3QK95 zPc/0HsO8n7IBfvAOLAO/HnLa7CNOL1dCpwebBlg3zCf3QDLHug+1pDLrP1H /jHEe6AT+Pi693vH+73gvtc8b6THsONNr0HX4f4u/F5rGENH+w6IKy0cZ8DY H4xnrAHHwDMwEJz5zHIrfe+5b6J1qfRxFmDlR96H8U+9bpJloS9487HtGe81 77hvvPVjHdgJlv5kXKQPn53mPcC1L70GvKpg9dceYx9wCtwa67lTvM9Ur5lg ed/aJrCogsnTvd+Oxkyw7fEUGAA2YM8PXjPKstgTjAXLwTP0Bpt+sl7g0izv DwZWcHiOx1gD5iywDcydWV6Hu3Ot72/+3ikF7v5h+5gLDs6wjD9twzyvwabf /Y1OC70fa8CrKo+DMyu9fwWjKli70PriO0t9pr94fLb7WPNEChwFI2daxiLr TbwH1x5Jgbtg8Fz3IXdACmwGa9F7hdfMs14rfO7zre+TKfAYjF+QIv/i7J9J gc1g7XMp8Bh8fTYFBjc0FlY3Rj6dAr/B8oF+I7yV51PgcSPjLdi7thxYOsjv 66AUWAtGvpAC28DUF42v4PFLxub9PS8ba8Gg2sbNQ1PgHBjHGHi8nvEWjOdN DzFn30NS1MPga1vxw7we3AHjqB+XGgfZp7rXZu+3iTEU2tS4CYGhYCC0+T/k bWmZ3AM2cRfVFMceTFGXEfuIgcSti8T/7ZjYOkVdjr9eKDoqRS15Toq4ybpW 4kenqEvw4R38jvBv1uHP56Z4k4z/7rnEnj9S1Aq89fNSvA3WLROvSpEj4Zvc +RL7Inlald/Jrp7Pu6nvvXgbvPUF9nt8mb6nUuSUlfX4HePYxO8EPfwG8LvF 9n18apH9e2/rgr/jX3/bv/GvZfZvfGe53yL+wnmTB75s/3mL+0nhL9z/wSny K+r0o6zDxeJt7Jvc4ZG+x2r21er2FXymo++8me+dWvtfKfAd32xsfzk7RV5F ToVPHWG/wnea2n+29b2DmaPF300RN+vZB7i7t8XPT+vy7mN9/qPER6Z4/3Xs D4N9P809p77HuaP3xd9L63L2431fH4p/kCIuHORzwObdPfcv+34T+38Dz+Ue x4qP8R1/LBqfIo5MEH2S1uXvp/h+p4h/keLNc88n+64bei6+MFH80xQxaLJo UoqYMk70kdc0ct8y+8hp9pPPxT9LEY/29T7L/f6ILfjLAyne1db2j5b2ma/E v/Q8zvIcn+cetg//5VzOShEDud9LfMffiL62LO7nPJ8/75W3va3v81zfKW+u te+5ue93Z8u+wPLpu9T9f6eITeSL5I232q8u8zc55K/i96fINf92P3N+S5Hz PcLbsQzy5ZxjLnllxxR5Kj6ML5Ifkmfhm11S9HWxnGe8F/NvL4fvd/TaK1LE /FXliPu0qYmobahPqE0gaiHqIGo01qx2POedbuQxaiHe6dUp2m1tC/Gzk/sY I55TQ92Qoo5C9rWeD+ebuqhbCh3aW5du7m/t9ehIvkiORl6GPPqptdr4brh/ aidqszbmN6ao0+B8U1/xVu5K8dap17pbDljV0zJuStEmnhAbbksRP4gNd6eI McSSO1K8P+beZPn43M0p4gpxqE9aF7fuTYE/3NXDvvdOPjfy5772E+6ug9v/ r4FSjG1t/oDb2IkNnFM/y0Fmd9vWwf0PpcA1xvu5zf0/ah/o7zZ3/Y6/aYOv 4HUtjz/m+RA5A36U/JtqD+u5xjpjD3UBdclq96MzteGKFPXhcrd5I+Q8S0ST y5EzL06RN1fm8S6KHG8DuX94zphyYOgi0QjrU85R3/JbQZX1BCfIk8g3wNM5 7i/8eyxvZKXX0F/l9kLTSq/FNmRTUw5yP/Oxb7XHu1o+b62d9cfGWbaR3JoY D6ZUcAC8AB+mid5M8bsENs2wXcR1sIDYT64INtAHDoAd4Aa5/WjLJnd93+Pk oqO8zwzLpV7iN5Dhog3MR7hNPCNOdbL+fHc2Vi51f5XPEdvnuE1+0t5r23mv H63/Yt9ZpRaCk3eTP4OjzW33G7YdmXN9hpzZLPvGjoVyqiLy363FtyriPLYV 36aIvGYn8XpF5Mu7iO9cRC5cX3zXInLh3cV3KyLP3UO8QRF57l7iexaR59YV 376IHJz7vd8+XEd92xWRax8ufm2Od7O52psVcQ+bim9SxNmv4o3keP8Hqq9V Dlv3Uft8tV9Rez+1L1R7mNqHql2zCNt7qe+QInCxndrVisiNthTfooh75mxm +3w2VN8GRZzr/BRvY4TfFL/t8l7AB3CCGENMIHY/4nNeYP/kvn72/Ps9n7i0 g/cjp4WYSx1W1/O5286WSWzrLZ3bOw/7y/Ine90Cz//TvjHGOAX2dLWPoj+5 8aPuX+33jm117E+sHWuf5K2ucTxhv7r2yyr3M5f9yLNXSq8VOf5v7XX7Hv7P ffC7IXGuqcZ/yYHrx4oXRcTuWmrfngPj+P+6K3PkEZerfXWOXOMytTvlyFnW wwdz2Nde7ctzYPh14o/lyCfWF383Bz6205zLfG4biH+YAxOHi9fMkStvLP5F jjh/nnjLHLa2xudz5DL9xDfNgUvcNXUOsbm2+Dc5MOtW8dty5Dcbio/PgcUb iU/MgY9tJfPiHLVaSe1mOeoEYmfhmIxfkrvzRsaIv5cD5x/Cvhw5+vfi3+bA yynin+fAqzvEL7H8syX/+hy43lr8oCLi00Vq76/2a8xRu3YRmPSx2mNz5A3o U8PxfDTvMkcuMlX8yxy5AGdaw/8Ht9o693DeVXgtuFN2/yq3+Q0TntzP2mSs 4S1lr13rNvnbZ+Kf5MhZ1ref4WObqG96jhzjGHCtCJwGD8EL9sdO8IB4SG5N jk3Oy/83f5vid29iFvkxuTExi3y3peWAteDOVm73sP7IxhZiJXXCSR7/3vP5 pnZo4H2Gea+a1p/au47k1M8RE6b6zVTygsGeP9i6lk3U/GDoUNtW031D3a78 LlDTew71uje1T+McNSLvdobfOzhGLPjBfl2yb1N/UJtUfvegVqEPX5lqPZlb zT5wvs6+bo6a4FTxk3PEjVbq3ylHrX6S+Ak59qd2oVZqZD3Yn9/zwBjqHGoc sId6ifoHnBjnO+SeqGX29T1Rm1ADUWNRl1GTgW0T3Af2UL+dYlnUXw39TU1H rQaGTbFe7E2dRe21TPouz5GDXpUjNhGXDsbGIuYdoXbDImry03PEDuJGixz2 Y/tCtf/K8XcNN+L7OWos7v8o+8CO4g1yxPBF4otz5MqHirco4rwOUfvUIu6G WHWN4xXvnvjC29+PuFiE/zXPcTfcSz2198iBHQeJn1jEWXTMEWeJseAMcZP3 Tby5yzGnQ46YS7zdMwe+gq07qL17Dnx8VLx/jrrxzhzvk7d5dw4MBn+JVZMd rybkiJXEye3Fd8uBobPEZ+eoGd4SfztH7TRf/Pccf+sxV3xOjr/R+FN8QY6a 5Gfxn3L8HcRv4vNy1BiHiZ9RhN8crnbLIvxmvRyxFRuJMZ86zuySw05s7Jvj 7rn3STliOvG8IfvkqGX3Fz+miPhyoNrHF+GLjdRuVvi3CbU72//BsVpFYNle aq9fBC7DH87RPpPzyFEjE++/yxHz98VnishlNxY/K0e9cWQOXCFWfZUD28C1 08S75sg7RubAXTB3rfiaHH+HQowflSPOgzkf5MCdGeI/5qjHloovyfH3OODA 1zmwABxrm2Nf3n0Xv/0DxJsX8caw4wzbso94kyJy9wfUPqeIGvTcInAUDN1b /Igicvqn1H4yx+8B3XJgG7g2LQcGg7+Pi++a47fPJjniHbEOvB2R410QN4mt xEPewSl+C/jd0fa9e8XvyfEbJG/xRL9HfPw4+/n7OfIMcoynxctF5IPg57gc GFqjiPjOuyb+3ZcjDnyUIxchD/kfrRknjg== "]], Polygon[CompressedData[" 1:eJwllnn0V1MUxb/yu+dioUlImpQkzaWikjQTpUFpUH5lqCi1RBLKmDJFSvNA RKaEolKhUihRZpmSMZnHDJ+99h97rb3ffe++e889Z59btXhEt+ElCoXCC6AI 7IxC4UNQMhUKE0BZ+LWgN/xSXvgD/hs4DH0b+FgctIBfDy6DD8iFwi54ZbAA PR8Mg18CRsOLGd8Nrw5eRb8GxsKHMH8X+AWM70VvRb+B3gbGoYei28ET41PR 09Ej0OehP0VXAqehS6CnwG9ifDi6P3onuiJ4H/0BGK/1MD4B3h0cg+4L/oUf BQ6H3wnawCfpH/C7wVz4HHCx1gu+gJcDLfU/MAs+G1wIP1R7gG8J7017+EZz g1Pgt4CJ8FvCazkZ/Qv8SHAqfDJYD38ZXMT4GPRm+Cb9v8gx01l9Eo69zmwd /EVwRfI3n8F3h9dWCvwI/zU8d1mwH7FpjT5CsQMt4c+ApvBDwIrwnrSXUWAJ /Gi+mQ8/ATyGroJeCK8D/kb/F45dOfAl/NvwXksn585f4PbkHFoGr833i+GN wHfoH8Ct8DJgJfx55QR7uRz9BLw67z8Arwce19mh74fXBWvRaxT/IsfgKXgt xh+CNwSr0KvDc+mdpowtD+9tOVgKr8mzB+ENwJPoGuhF8Ppgr2IFWiWv8Vmd ZThWzcCD8DK8PwteA/RD10UvgT+anCtfgZuTc0a18zm4MbmGBsIb8/4y+NPg WPSB4dxQTp0Hb8D4E1ob+DocY8VWc/4JLw9aJ8e4AnxeOFdHs99mfHtR+KyV 0710tjy7Dz4DPKR6Rs+GH6caQJ8druUqYFc4p5RLWvPDylfenws/Hjyi+kHP g9cCi5Xv6DnwmooBuhJ6Aby2zhj9UdhrmoNFiiXj07V38H04J5QLE0EfeN+w d/zLfj4Ne5S86Ybk2mwV5qrRDfCN4dpRzWyHvxX2kmt5Ng5+Ynas31WMNT/6 g+SaEFcMFTs9k5dURj9bZE+RV3UNe48863h0T/BWcs71gjdnfDt8B+iRnWPK rTfBOdk5qtzUO/r25PCY5miUvUatbanOBN0dbEvO0cHwM8PetifZW6uj9xXZ Y+WNVeQJRfbIduiG0vCXtEd0G7Au+QxPyz4zndVa0AHdSB4EX6+az96T9qKa LZ89p+bSmR8LPxtsTa6ZQfDT5Rnwb5N7Q9Wwt6tHdMuuMdXWG6Btdk4pl7TG +uir0e/Ia0Ap9Fj02/CZ4Cp4H571V6yTa2NAOFaqEfUCebi8Wz2hCbpY5wd/ JrnWzg9z1VxLdF15Dnxlcq3/BCYl1/zPYQ+Vd+qZvPr3cC+UZ6v29oE7kmvw n7Anygv1TLXWO7x21Zxi3yAca53BwTp/sCK5Bupke6S88WFQOnuNWps8phW8 HuOr4KvBKdkeJO/RM/XK9uh7k3umvKh/OJbypEC3lWckv3MuvEX4X41Bi+ya VC0qJgegDwQjk3NsIWMdwDT0cJAZqxjuzXpWNnuNWps8pX22R8gblFOt0fXR L8DXJJ9tvWyv1BnfhR4J2sPPB7fDLwHt4AO1Xt4dEz774uRcaZjtjcqZK9Al s73tOXA9+kr1E3g/MAM+New9g8E18PvCXHeemfCeoFryN4rVZNAmOWZFzL1/ 9l1DdxydXZ3w3DrDm+T14d6gHnZ/OGaK1QjQKVwjqg15SudwTauWVbPXoTuC CtoruDHsgfI+5bxq645wLFRjO1QbYW8bpp4ZvuPobtMBjIKP1xzJMb00/A/N rZi+J68Jf6s7kt7tFvZ+fXMQa6uN/qfIOTAkfMfT3U4xqcZ4F/B6co/umt2z 1au3JHtDszCXR+jdpujXkr+Rt50U9gJ53FnZPV69Xe90QjdGb4BvBOWyc0i5 ox5zanYPU+9STlXI9jB5l+4sHbPvMLq7aI5h4TPRWbQFVeWn4NXkO0XF7H/q X+pZ1cI5qVzUnbGSah8MSD6jacql7FxTjHqgp4RjrxzS3E3Qm5P/cY+8KZy7 g3Se2T1SvfEV0Dn7jqW7lb45A31ieGwTqJz9TFx3MN0t94R7pe6YWtvQ8N60 xv8BW7t0mQ== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0jdWlQEQBtAf0cKCwoLCwuIVFBQWVBb2LIAlsADYhhVIVpAkOQhKFEWy oKCA5BxFCQJKEEEU7juvuOf7pplizoSSU5NSooIgeMQDwv0Wt4nhDrHc5R4h 4ojnPgk8JIM/nNMXRBZlhUNeyL/0c8OcLbvoppFLXvKPTHr5zxVnNHDKC37z jhPqOaKOYzr5RS2H1PCTtxxQzQ+q2OcNe1SyQwW7dLBNOd8o4zuv2eI5m5Ty lXY2KGGNYtZpY5UililkhVaWeMYCBSzSwjz5zPKUOZqZ4QlT5DFNEz3k8ooc brpvNI/1CSYZ4wvjpPOJz3xkhGHSGOIDAwzynlESg8hvXAOy0lzk "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{262, 261, 265, 502, 493, 494, 492, 496, 495, 432, 498, 499, 497, 501, 500, 433, 504, 505, 503, 507, 506, 434, 473, 551, 466, 491, 454, 489, 453, 490, 431, 264, 263, 262}], Line[CompressedData[" 1:eJwl0tlSj3Ecx/HnX7RIlkKWUKhJKhWStEoLo10RnegCuBxX4ahdkZaZtMqk ZSKl/SIor6aD97x+n+/p8yS3v2t8GwqC4L0+eCRqQqO6HBYEuwc3XtJjjdjl 3OFFXtAjDdtl3OZ5JqhUQ3YJt3iOZ1WsL3YRN3mG8SrUoP2QG4zjaRXos/2A 6zzFk8rXJ/s+//AEY5WnAfse13icMbqrfvsOV3mM0crVRzuHvxnFSGWrz77N FUbwqLLUa2fyF48wXBnqsW/xJ8MYUrq67Ztc5j/9VZrdxSX90JieuHWwkhWq Uqddzaea897XV+1p/ODjuc/zKid5hVNM4gKvcZrJnOF1LjKF33iDs0zld75R jWpVp3o1qFFNeq5mteiFXqpVr/RabXqmQmWEDv+r/1c1Qcg= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWQVmUcwOGzAQJSEiKIlFICgqRILOyyAWyD7i5LLtKwC6jYwgUoYYBB KNwQM6RxA+iFzkgq3Z1KN4oI5vOOF8/3e//vzHfmO+8589UvKsktjomiqI6P 5nFR1Ds2ilLio2i79Q5+YEPYpyXrmMoKltOBu/zBb/zOHdpzm1+5wS1u0o5r XOcyV7lCWy5yiXNc4Dxt+JlfOM1ZztCak5ziGCc4ztMc5BD7OMB+WrGbPewk l130YS/TOEJfDvMcR3mHOs4jTx/TfK2r0/VxLdQG2l+f0JnaSAdoQx2ojXWW Ntch2kyLtIV+EM5VX9CndFj4rfphOCsdFc5GR4cz1Y/0GR0Tzl7Hakf9VDtp sT6rJdpZ52lXfVG76EuaoAu0u76q3fQ1TdTPtYe+pUn6tm4j2XqKrucbvuVr etpfqGm6SHvpMp0cztY6Tb/iTT4L524vVbN5nXzzG/oK88kxp2gWL5NnnqQT mRu+Z07WTMbzvHmCfskXfEyhvU90KePCtcw9dA2z6Weeoz/xIyPDe2YvSTMY Ht4j84jwnulQXc17FJjf161s4UlzUxKt0xlEE/NgXcVKUs0ztL7203paoO+G +7DurpvZxMZwT/wTnitLWMx3fM/a8Py5z5/c42/+Cs+dyPVi+Nc6TmPpZF1K SxNPGR6gs/1y+iBlqUB5utivpJWpSBUeoqv9alqdqtTgYRLs19RaPEJtHqVb OGv/J7nkkE0WmWSQHvv/f85/cnyF/Q== "]], Line[{841, 668, 793, 670, 949, 948, 1100, 928, 1099, 929, 1101, 934, 935, 898, 899, 897, 927, 1109, 842, 1108, 926, 947, 946, 961, 849, 1116, 960, 955, 957, 956, 841}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0Es2AgAYhuHfOSVEWEKD1tAxyA5MzN0qhllFtAEjloFuqNzv0sV1M55z DJ7zjb83W9xdrUxExArriYg18smIqcmIEwocs8wpJXZSEWW7R5UZWrRpcs4Z aTp0ueCSHrNcc8MVd9wyxwOP3PPMExleeeOFd/rMM2TEgA/GLPDFN5/88sMi +9TY5oBpchxxSIM6eR/rOixR1qREkS022Uj89/oDfiEuPQ== "]], Line[CompressedData[" 1:eJwl01dvTnEAx/FTWr3hQqubTnTYFEWNotVSSmtE7NkqWqOJGztubBKxEhSx ahMvwBvwCmpvtTe1PicuPs/3/E6ePMnzPzkZC+sr6yKCIIjwsT4yCBqIjwqC 5HZB8Ie/tPKbXyTxg5985TvfSOQzX/jAJz6SwDve85q3vCGeV7TwnJe8II6n POMRT3hMJ+7zgGbucZcYDnCEw2xgI7E8ZCTHOM4JUpgVHQRLdRSB6yKN0Got 0O26gzG0sUdrdzrT1o6k0fVJllFt1+hOxtLOLtEoLdZsuhBtj9NTnGY5Ne7V 6i5SmW2X6iZWhr9vr9Dd7GE8i9wr0xzSmGPX6QQmstgu11zSmWvX6yQms8Su 0DwymGev0insJZP57lXqZtZQa6/WfWSxwK7SLTSE/8Veq/uZyiGmcZR1bKUX Q32vPR04Yxdqbx2uHYnhrD1C+4TPT2PpxLnwmWlfLdI44jlvj9Z+4TPTBBK5 ED4P7a/FmkQyTXaJDtBxmkJnLtqlmq9l2oVULoXnrgPDM9Y00rlsl+ug8Nw1 g0yuhGetg7VCs+jK1fD8tSA8a+1Gd67ZlTpEqzSbHK6HZ6lDw7PUXPK4YU/X YTpDe9CTm+EZa6HOJN973Op9bqGZO9zmFk00cpDdbIv8//7/Az43ciY= "]], Line[{1334, 1281, 1285, 1289, 1290, 1291, 1292, 1462, 1634, 1846, 1633, 1844, 1632, 1845, 1660, 1843, 1631, 1841, 1630, 1842, 1659, 1840, 1629, 1838, 1628, 1839, 1658, 1808, 1624, 1806, 1623, 1807, 1654, 1851, 1686, 1803, 1580, 1802, 1700, 1801, 1800, 1849, 1579, 1572, 1890, 1653, 1622, 1627, 1626, 1668, 1667, 1882, 1657, 1880, 1656, 1881, 1682, 1683, 1379, 1334}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlglUjVsbx4+ioolCJUWRiFuUDEf56yIaUGkSN4oyhdySopJmVxGSchs1 I3WieUBz0tyVnEpO45ne91S3KBzf+9291l57/dbe63n22nuv/fzUnC9ZuYjQ aLRGqv9/fEg3FR0vJNHyq1bz2N1piBvM3jFrJKHcfPXeGDkFm911nlV9JMR/ 6j5Zpj8FrbXRNHOShFV4GKcu/F8cUjAcFBWSONLpNWbMnoTDM10rkXkCdPrL ++jZTELMtqnv5XwB2vacO3KkaQInPgcXfJQS4OAXq9QddhNIs3uuNUdWgJ07 un2H2eN4VbMhSn+hAD/NZ5dVB47DZ4X8Vz+KV0qYZ1uqjaN0MF+XRa0PPO/E XV4rwPwWk96zMgLsOc3XrbggwFp4VfZQ8Q/P9NAW6ApgXjVu9XmBAMRJjtyc cRJRPzq0/SQEWBhy86JEIImJkfufCqj9+kR5zZ1aSmKfR0LHbREBxMz2ez/M JWBSoqTxY44A0etXfm9MJJBwnuw6S3FL19PFCncIiNnxh7poVL5mxfu+fgRc VvXZGVL8SuhiNOtGIEPWW1Kb4qwG9wnr8wTuKpwrVqV4jv/ngdyzBDLHXzrK Uky/mS4leYaALEc7T5xiZlUvY9tpArT/mgCu/zUCv104GyP4RcIrNHRptAsV r8p/3ReKORe+/fP2FIGA0DkmVRTHLvT1UDlJwFNP/2gqxZqLth/0cSKQu0X5 RDDFWv3qrv8cJyC69XGhGXV/50xcLl0/RKB16eiA9E8Sl2mOa7eDwOnQsKF3 30n475d3ktEh0DcsUh84S0Jh3RB7VpXAVwmr7lrqXHenxy+9XsKHwwzPgj5G Yiz2yLVIOz5KJ2+8H6bejzX3naLYDA+ixJ6G5g4SvrGZo2UJPISJ7sz6WkfC 5vC++PC9PEye2/V7+UsSU+XBYpxaLiSuxtryE0nQIrnEA3Mu7FPP6seHk/jR 1XRpRQ8HwmNhhT3uJHrSZ2V1znMg2jxtWGhHYpPG07gLIhzkVK5/bWRIxTvI 1YtMZMN+DW3ElrrnBq78nCXKbDxQTtXS4BOQYZWGMZPGsNFuZ0LnWwJuSvlj ezeMwev2ge6waAITTuUpja9HoZx8XMyVOveRif5TnCOjCPAxnY7aTCArUtpo 2+wIJibyl2mJELAxMVl0MHkEWrc0lUQL+egtyhV5tmYEwsLciTWn+fDv8/n1 uGgYGVXWO8klfIiWe5yC1TB+hC/ckFfFw+us0o1dU0PQ4VcUFF/gYbFpwMiz lCEMpku2WinwMPOpYP0GmyGsnlMeXf2aC3J+pEiT7BBCYrK3PD3ExUTHtZxL bwfxTLpr+EE/B67yNckffAcx8K/BVsKNA9OWiZntRoPQnOpxX/6djfMKh8vY 0oMw99FU9b7FhkdPy6n9LBY6nHufWCqyYbmfXNtQwUJvuVqTIHMM8XK34seS WMi2VG/dpzCGNREP72wJZMG7UnZfR/go7k6alslcZEH8zcrd0z9G4F++RS/J mYXXxauWSXiOQPHTYdt1x1lQsTmqZU4Mo+9kZoyQmneo9wv4dn4YSijt8bvA QszDzpNb+EPo9KI7LPJngWEdukTBfAhrFSNpW+NZQKRL+03GIPzw0aWuigWu ynRDmMogCOn9KU8FLPyrQzPXiGIhuGeCMbB6EBbGcdF757PgK/Po3hXHQZRe HFatC/+CzWxSPCR+EPfa+dE+Ml8gTneQ3d4/iJHDGj+VvQZg2slo2bV9COuC As6ZtH6G8oBjZvKjIRw3Ln03W9OPqpioE31fh1Ct3ui4+H0fvHpL/LLsh9G8 IDL02GAvjCLvNQ4UD0O56n1F4vxeZNnuUr6vQL0XemddniETsrHe2v96jKAk dcTay/8TaLrNwWeaR7BW4nuyX0oP5F65Tt/aOorCoOw9MV0fsX7pjmbm36N4 4FaVJL/0IzK75FIWzI7ilniDseepbqjOZkz+sBzDuz+P4UTlB2g/P5lelzqG ou+mNhnqH1CuQxxJIMew7/Isf1vUP/gmJ4IWfTaETKsULbF/YHp71LPAi428 tA4i7G4XZpJyIixz2NjklbDnvmoXdBRjbusNsBEsciKlNb8T+t50z0xZDiQN cmI6zTpB2mW2Tu/goL6tIteQ3YHQpqQrp104eCFjRyv+q4OqM1119AgO5m93 YU7pdKDlZ6ZRTh4HX1YLX+R/bEf61s9Hpzs4aFzpJMoIbkendVzk/kkO5OpT 40r02uHMOX6jfREXl6Wtz4S2t+HjH3fr5LZwEaKU9iLIow3y4+suzbPngtlj ZeCs1IYTfmc02Fe54HoquBaFtELKyHb51EMuMjl0f+fPLdB4fn/1kXwugrTn SdmgBWb1u7J3NnNxz/Vm3rfoZqQ6snZ4sLkwaLC/bjv+HvSUb+TauTyMx8q9 Fx5+jws59MkgFR4SHZbXRJQ3YbEi/UaqPg8qh1nMNK0mLAtLynpizsM9T6OX kwnvMH1FRTLOmYdeY+sK4UQjjENKE+f58TA/Qmnq6KFGrPh2rUc2hgcNepxZ ZH4DlITvaN05PBzp5b1dubwBcBnV9arhIUKpv+/F7XrsqWZozPvEQ1Oy2oke Wj0YTs5FsQSVXz9pg+n1OhiWXTm9W4QPer3rH/mztZAP8yhYQv07kxnHvRv9 a9FqLHdeVZOa1979xly8FnfHzzPPbeMDdXYJwgc1kKoIXCJuwkdQ2yeljNU1 aD5Klxba87Hn1NHJA5nVUPwS1z5wjo9L7lIV9drVkLTwXyK8zsewoojq+9Iq VDXd5jpH8BGYpntcyawKGkpv9JTj+fDVmO798/NbrIq8XbnpGR+egeszgt3f YtM1g+85pXz8WRPJLJ73Fhq3zC+GNfLxtWJ0oivxDZpHfmk1dPNR9UGh8cmO N3i0IeGMzzAfil6abgNFr7GV8/1x6gQfr40XlN6Mr4RrZ5eatBiBme9Blm13 K6D+F9yOKxKIsFBxZ0SVw0bgd5+xjkCT415VzcQyaHQtnatIJyC0qNY1LyqF uGvobJoJgcXPpcwsmSUoqHQSnLEnUC1pKGERUALFVqfRAEcC4mW2u5ZrluB+ am7zVaoeF7zqL8pqLcaxGcn8g+cITKo6lYz5FEPy5YE7Yu4EROwtpNo0isFr PWCZfIXAnqSQmdNFRbDPW8f86kugweXvvndmRZDTcehaHkzA331Fez+rEId3 Ldy86DaBsxJfN9/2LcRGw5fdH+5RvqJ2Lfu1RCHkJdf6+sUR2B6kra8XW4Cg R9tonGTKD6LWt9VoFWBrrpCpmkVg4XOXzTZvXmHQrfOkKuU7skr9l7KXvYKO 1siVnyUEzrit0pHwfQnhXpt5J2oIHLk62Sg2lI90tU1fDrQQcIwRvv7dKh+d W9V3t3RTdXI2zsCpjoFe/Sf1owMEnjtohVdcY+DgKrVb7cMEomIM19VvZGBu Tu3yRA4B88fFpPtYHhYvSPY+SBIwjAze9iIlD59M7wQNThIIob8/3XcsD13r OFvsvhFoNtduDlLKg0FgWyzjB4ElEpuYG3Jzob+QfnmSRsJi6YqrS7Rz4dxz 84bKPBJpjKYrQrkX8N9TNM9AhkRpsslD5twceKzIv8OlPGDq+t3OAZHn0DZa uVNvBQlzY/PNVlLPsFlfMVtJk0RJYlB54Mqn8LF42JemTSIvwOuReEE2JLeN Ki7WpTxKPWNBmVk2rD82Md31SbjW3hNEDmXh5cQyRtk2Et0bFBiXb2QhSDCg NLWDhO2NDWfVNmchX40edXQniTMFbxdOsjNxs3OVX/EuEmJ3pvsGkjNBZ1TK S+2m1ptYag/bZ2KftGWI7V4ScamVDl0PMrBWxufxYzMSK5W1ftV8SEd4wfzY vy1JfMu9XGKqlk7tz/W3PygPepE0x43mkYZnrMp3rGOUt+ccYoY1pYKlUZio 40xCR1R9f7pHKs6WKS36eoqEm3Jm8mOVVFT3XtfLPU1Cl+WrfrTxCcwjvK7Y n6N8ebVswCevJ1hRqb1r0o2EYye7+DL9CZiOwt+ZF0mEsdeLTAtT4LZAJL6M 8jIak/HKuSYFi6w3ekT/SUJkXLjv5V8pmHHWIV08SRQE0pavkU4Bu/iHt4M3 if8B8FVeIw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk01OsbB3BaREWW3BZLiwpJceXaur7tylahUIQQlYiyXy2WUiRx1ZVd yVbWxqgsY63IlnVsGdtgZn5jnSE3/ed/n3Pe857Pu5zzvOd933OebZfcTByX 8fHxtfHa//sKofQt+q1c1GwLkrd6wkFTsPGFJJ6jgzb8TH3EwVYd0Z5SGhff JAdu13ycg/jhTLMRFheGCbvyji/O4ti64aTt81woXH8tlKI3C3dlswOBfPP4 9czrZ0jSDCqnvt9xFZiHfU6mbZb4DNy9dxpMr56HxZTBA6vH06jv+EqTFOF5 fDFjSWQazkrP7Gnr5mGorBK14vkUiiWKm6xE5/HPtPqhqR1TUF71elUkb77r oHS7WfEkYom/JP/k7e8ULLWNdJ2Ejk6pi+HaeVhKj11Tl58E/6M+CkVoHjmj DeEG1Wx0739THs/L56eCas4jXTbEy+PFhpbNo9biR8tMCYHlIWvkDvGcUaya IJtJ4Ekr9VUc/zysLq9m2cUQWOsQFTvNO98ervffpfcIzAWXLD/Oc92K35xU XQkgv+7Jfp4jKCRjXRcCC2gSl+OZb5Z80+AqAa3OunAxnhOdxDosnAmU+N7/ JMhz8aOoZzZOBPj+i3lc/i8IhJAHf+f+4kJuo/8f1x0JZCoE2RM8H9GmSd5y IDDxHJReniV/Gc7cu0Tg8K0ZiXqeB5WnhSNtCbDtky6+53k8tsYx8SKBB557 LQV45ldOZmsbELgb4d50aokLt6ScfWwNAu0yRFXMTy7ee6svfthB4NHfSlpd /3KxoqZEPlGMgM7R8xGXuVy8bPyWy4xkQS13cN50irf+sS3dcD0Lf10kJb6c 4GJi7pzxkzgmvH1kki2GuCimRvs82MVEeHH5Bq8eLtRcNnevITGw/U6kiXcj FybSJW07RRlYn7i7T4XCxduVH1XveUzAV+6M7Ns8LoIuZd542zMOqoGxHSeJ i0h+3+VHDcYhk3Gm47cILhSf9EnRKWNwvqEatdGfi+YEoZKDB8YgshRsM3yR C9b0rcm8cDqYYfvMCw9ysf2TkX776ChuOn68n7SVC5UtFpr8+qOIFvAIr1zi oMiXmRxLGoHumGa0eg8HfSenEsUVR8B4Ym8sVsTB9Q97olkvhyF4/PLcdd6/ Wd80cZu8cxhfFpYlbTrLQbi63750vyHk1ZdESG3kIP+sd8rW3kFYhrKVyV1z kOuyHFI4OYhTI0buys/nIG/xpyqNQsPky9DqEtM52OkcaQg8TMPYhb8WkkXm IM0Qjr3QMIBGLUUdic+zSLDROlFvO4DAF6XOs9dnkR91n7b283esbD172EB8 FikHdhUVj/SDWdl0wos0Ax8T69C2jf1Y0H1wocF8Bmrhg331Nn3Y/bdFS8rC NJatc8zd/74XYy1iCbpx09hkzJz5ItcLjZBy/7ED0/BQDV7nlNgDtRNVYZlV U/iQ9lTWTLAHNw12/bA1mILnZ5uEQw+7wfZo9vBpm4S3SgvFfUs3AoxjXhjY TELA5tU/579QcdfOTdGki43dwioLiSFULJ0yWZ/OIaDQZuwkaEqFUszX8ys3 8975rbzmeypUnOhviS9bYuLJhd8jBjdRUXhJwSaExcA7Qt7ltRQVYhfCdjeM TqDavrFfeD8V7acndg9MjGPc7BDnoR0VmS9k94wsjKHevuZRfioVwdS2H8MS YziyyrBTg0MFRdt9b5MmHZ1av1kMn+9GMu30Ok2pUdDmggKu8PWgvLrLMVts BO7CpivDK3rwLiVyyk5qGN8WOYIGcb2omFKz8tAYwitnU70Xj/rgGvbn/l6H QehH812yDO/H2NeA4chUGmTV05aZJHxHafirn37sATyuO6gkaz2APY4TG4L1 B/Btfu3tYd74id1Va9Ucv+Pc/aAo8xAazl4yk7Q16ke+YlBhv9QgAhs51o8N +rAhMvzTXP4gnrJS61use1FtQh1RPz6Ee92OEraBPSB7hXRZdQ6hM0klI5Tc Db8zp7gmDsMwV9KkfFik4tnP9n/3MoexNJnzPNiICq5ze4GG6wjqzq9g7bzV BbP6UZ2C9aMQNp0V98vpRFGGv1h8zih6NQqd0qU68fr4K5lz2+jI1t3l8CGq A2uWdQeVh9HBGji3MUW8AzdH9roLE3Qca1dfduVFO0Qd32lFnxhDmdFPyQOK 7eBvS1rzIW4MngUXB6zL2pAfvjp5gT4G0zazWgXLNhyWqVlsUR6HUKZVle5w K24XfLLT9x9HxsHw0yJeraj0WfvHAGUcFtYJH1uFW5GpZ7XJ+9c49FKvuI5l fYMWeTxsSGMCjVnh7mWG37DNU4igX53AtZgbEb3TLVBiuqqpxU5AlrbE3xPf gkgpcqNt1QT856zMyoxbsErbIGmBPgFn7Zm00OUtIIsHqVQJMXBg/Nwy/o/N CA5YwZVUZKDjTl/g3K1mdN/NatE9zsBb7Z862qrNiEikGd+1Y2BWL+rN6e9N kB6qHpHwZ6BbPTVW27YJjcV2m5WiGdgmnqdd2dCI5BsVnxVzGHio/vR384ON aFtt0xDyiQH61T7LdHIDigp2nPH4zkB8kq7nFbUG+H2v2bmZw4AKvb/lQuFX eCkPqqesYcLJ6tD2IxpfUVC748POrUykeGSpUyj10GAIiHqqMVFZ2/Ij16ge azZ4HOIeY+KY/CV7el8dPnV78ZeZM/GrPr1M170OlX3U0C5nJvZ/rjd5uqoO hx+eXG7my8S/zbECpclf0NBUNabzkIktymTp7vVf8DhgXConkYkzej4kgYjP MD9RXqZQyESHT2DJ/JrPsCWxDlBqmUiW3nbGJeITGt7E7LhPZUJ80lRQTvIT SktpHx8ymPgR9+7UUFItSt4fut71LxPlx4Pp3ntrEeOhvOW2MAuuK4dv5FJq kGWd5BUiw8JFq4Nrrc7VYOcPV6H5PSx8FZGOovdUY0To2tNsXRayM6ZF+xyr kSqneTbtFAtsS+V3SzNV0JJ5YDRlw8KvRJXTEverIJWtevaFGwvylRqTI1JV KN2+zSjrNgtiiYGq9nmVqJD1u9v9mIWz/QYLUScqYbcuuc8zngWN6fp7R4cr 8Kx1YVNIFgtBEy6e+kEV+OeUzH7RYhYeNqgl+e2sgNB7zVDZGhZW8b092ZpO geDwm4qHHSw4Fzn+kbKPguZvN9q30lmwaNmk+JtvOWJyylunOSyIepx+dju+ DKYFuebCAgQks5wPj34uRcDl3QV/rSeg/OWt2CK5BF81xsZXyRP4Jt4Yc570 EdlkO9EHmgQ4pLSLk+Uf0Por+rDoSQJjden7qjveY/01mTVkCwJJk2QRznwx unQLR8N59cfyfNKZjzuLEedcVZjiSYDWvuP8s29k+Gmo3lT0J3A57Qif4D0y 0lkttn/fJVCRVbtxpSoZFcp3HYZCCFy8cXE0cLAIrSKahhvCCFzYcVvUO6YI 10Wa+1QiCbBe8/ktqRShXyZsa/szArKkTl9OIwm+7mWZRgkErmVYBZx0I8Gi w0Uy/iWBAJOuuUExEl5+HWNW8Oox8yvKCk8z3sGsYJtQTh4BkXxKh8Thd9Dj HGc5kQmErfzy/FR/IWxGVJKmSglcbbJ02B1QCJbLLiGjagIOZiSnmd4CrLNs lKxuJBBK0VrMOFKAoFrz9IouAqlL8UdpefkoJS1eNhokEFRoFKG9I59XN+le c2UQaK1m1Z1PyENakMDvSrO8fEjHNx61y0Nm3E9rkXkC/n9wlxvuysPNuNx9 /YsEXmwPderoyoW2f5pK3C/e/XVZyqo75aK5zoh2bDkbtwIeNejU5iD9YOV1 L0E2Vhd03b2lmAOTmYrZQGE2JDI7ZN9HvsWdaLlGF3E2tg+PmI8svsHIRjbU N7BhGHzFMY2VjZPcsjDaFjbkhhRmCEYWzjRKS8spsGFqYpqwOJeJP380tvCp sKESVRi7fk0mvvt5rbinwUbod+3yp7sz8MWwICyTVw/voMk30uvTsXrV0atv D7GxjLT/yVq3dCgfXS2WepQNn19eZ2Yl0rGxppTxQI8Nbz3/L9EfXsO8Ps/a Rp8N++wMy1yf1xghuTl6G7Jx0sHLgqzxGlfuGOU9MGajLujdlXRuGrZpxThE nmajROGxoX9xGs6fVk1/asLLp/Mt3VEwDc82a6rIW7BhE7LqgIzNK0zq3V0K smYj2faer37JS0i4yPNnX2JDabuPfvyWlzimUMxNdGKDPzr4SW1oKkrt3rld cmFjsH9T0w2FVLxQWpnt4sYGIS7g6lGXgi2NM/ftPdiwmtFvK3ZNwUy52Cs9 TzYWXzwqEtBJQX9TX/SYFxt0pWPdt1enQIY61Ovmw0b4w7iA2O5k+FG6xqd8 2fgf17XQ3g== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Xk01tkfB3DZkkmh0IbSkJRUMibhTckeWZJkRGKQbRCy7zweu2TN9kge smTNmLJkS7KVsmVfC1+SBpV+3/nrd8+553Ne526f+zn3nHvopoOuBSMDA0M7 2f+L6yth7GRQ0By54kv110XjYR2mH/Ob+Nbx+ourlw6+7vtxPVb9O34EJ/Ic a9BCr8c0a5vsOiqlU1Vi9mjgJM0kWy3wK7QMW7mzX6tiX79VREvICsYlbXka NVTQJ6O9lEssQd3461nanDIOiNDObJouQKja/JmXiwrSKIsh+p5zSNVkvBU4 qIrzDJ9D+PZNI3Syr3FUWAMvznGw/31sAglutJAGey24vVumbskaxYifnKiv kw5stv7gcewfgv/LtrRsS33IZrxZ7mTtx2XOhxZKFwxhXVDBeb6yF9xaDSNX Vf+AyFcJT8q7HpTcEHrlPWUGC1nRruruLtBLK8IjxC0gkUKb1NnWgVrKuutj aWt8LnseUt3TBjrPXcOEU/a4sdl2i2G1BYsGM3d2izlhOjFHiGbZhFaLWWWu lTvIXFeLFRZ8gak7ERfzMzwg2hfn/ZW3Hm1iz+SOSPpBVshifPdQLS595PO0 uhaAuBaVgUdlz+AjnryyrSMIlT7Lk2+f1OBphoLihbRQOA7Jyf14U420LVms g13h8NqXN1fC9xSqssafrnpE4eehr/YFHpXgbz0n9UA/Fq1hy2YPuSrQuI/r AGdMPJiUH2wU1ZXh6BXOtaN89zFC3/76QkgpKnT4dXJXkjAUt8m2bvoE71kT 181OpiHKUfKVp3YJgopiapz6MzAnyf7gnnQxWDZCxAWvZqHsCE+661ghROgd cwlj2ZCMG9MZSn2MYQfz0vqoHFzP+t2Kw7IAI6mKls5muSizr2I0Qj4aVA40 5hnngUucX1Jhbz6IMslCI1oeRgXn3f5coeOV+qs/337MQ3qYkUPnazqOfBRd 4pOkI6Qk66lbHh06z9mVjnjRcXPt5cXaHDoa/D+M+wXS4dlKcd2aRcd2iT2x Q+F0OPi3ql9+QAevIbRl4sjxoMYPLql0RGWYlM4l0JGS/F/7f4z8pZJSm0hH lylrsyq5ztXkbvYUOY9nj77rWiaZV76y8GlyH/9L3cOGZB42OxLUfaPoqDum f7WmmI6dBzW5X5PnMv1rOipYRUcAn2/xugUdPxW+SPtuyYcy23N9C0U6vA/f O1+smY8C7e05O/npKGjPYCtNygdL9wOsreVheVIkiTKVD0lPj8PyTY/AJjzj M1hciI+HO+WMabk4uyahRDEtgfyIf5Jd3EOMVenNJu4sxaUnSzuSY3MgIy4g JTtbhj4LyXLOTBrcFdbtKxYqUJZ78XjEbDYusJryKZVUIbPsDM82mWzYJAY7 FsRXw0yQyUnsXhayr0UKPU6uwb1Ng/H7XzNBzUEpY+MzFIpJ262ZZkKju53l FHsdYnd8qSoOzUDW39/PitnUw/pPVRfzG+kYSQpwy5hoQOPozAcZ1QewLwy8 HOLWiKbMw09sFdMQ1LRpUyHSDBNvMEurp4L7lGrK0HILkirmW4bNUnA5WmXM q/8lxo9WDWWdSUYvb7m0bVk7mFdNNqUPJWFenRDybeoEV1YPw5BwIvQs5KfV QruhLmCpS3G8j9pgyqbDRA8uRCt8F2tNgNeD78oLWm+xd7ZgevNYAgxtLyo8 au2FQVVdilrqPawWWDae136P7kEOCQOee0CdJ01krA+at3couSbHo8RHJ9nP awDLFtW/VAvEw+TqE7NTGILlW7mqvUVx+Gr63aF16zAcTzT90q8chz8dmcut 34zgXYvfvMJsLMR9pbzjOkehvMDvmhMbi7Db5vHM5WOQa7TiNj0fC7vb8+Wp CeOw1hn07V+PQcyropoNpwlMqXCL6tBioDsz8148ehKWdt4zpgYxENRi+yaf MQVCcH/yAlcMis+7JvFlTeNHWJX9Aj0aV7p4HH6NnyHrPqgpJhcNW/2UDwYu s5iV5qOuDEbBmeegsYDSHAYCE4reB0WBeKa0eZ3xI7rc0mhRv0XB+sYYs27x R6Rz2b6ceB+JlwbXxrL8PkGdrW6aNzgSn6Rt2hbPzOOpkOrxcrVIXC45Jv+g dB5flJvFq3dFopKq01t+cAF6FysDjMcjsBoQsVHpt4BuRnPj5fII/CXGziTw dgGKa4zNE+ERuJennaB3YBFXQrw1K8wjEDDEKZBvtIjZTjGODfkIHO1u/mkY s4gOrqg9Bgci4J1cPuvxfBHPeLlGV5apYOM+cLZhaRFd+SPlW9uo6OR/JjGw l0BR8WF+gRwqGIZ2Z984R4DeINPe70tFxs/LRoUGBDz2CzkSxlRETcSZTtoS mHz9QknoHBVWcmK8X3wIPEpn01DcR4Xy6bnqrEgCqn6zTMIb4eib0zgRnUxA ajGb5URvOH7k+Co05hD47sLq9rkkHL/7lw5EFhIYN//bXTcyHDwji3PO5QTY J6e0pWzC8SF2+/hoNYFLHtEvQ1XCMRPftXHkOQG5mJYNGeFwOJ1LEg+vJ/BT zkrtAlM4csQaRGQaCQhs58/tHKMgoTVAwriZQO0i44nMOgqEBvTv7molcOrZ 4zvFGRR42t2gur0kIFSx7dy6DwWSOzn+SWkjsNEbJORhQkGhFdsV6isCDH2S gRLy5PiL22767QROJ2XL8wlQcIxFvmOT9DdVYa7Ta2HYHadjm/+aQNpCo1F0 TxjeSrU9lO0g0FwxoyNeGIbr6+4zNaS7P5uEsYeFIZua/vV4JwFRs+U3wuZh uMJRYRxPOnVAW9ZHPgy37mytWSYdEVef37ArDPqaIaOGXQRZ15bt1+ZCUV/1 z3w1aZqWxE2F2lAcWur35u0msLrs2OSWEArjOq+nDqRZ3Y/f2rwdikD3wtvN pC+mcXi8OR+KupNaR/f3ENgXVU7/Y0coBqTNe4JJu4obN1oOhKDH2d17kXSW 1QnThdwQDFi/CrvyhoCBfCf/knMIWNXPStaQ5hS6kGunGAKhfodcwbfke+Kv oBkzh+DQgfHhJNK9lxbTNluCUVdpGcnZSyCoo+uCTkQwLn3gaAkh7W7Uo6+r E4xSLb2kb6TbZ506nXYHY6x0mdflHYE7abdcNfuC8EdgpuAn0s5c8r1DaUFw /1JabfqegHVMqp3wz0DUbzQ+TeojkFg6KObfFwjD0XWRKdIO6Z+lj5cGIvvo zOrJfgJW/24ZFI4IBOcnf1Ev0lf3GZjZWQbimsOxumbSEX3t3JMnAtF6ciTm zADp+5uyTGsB+LhykjuLtKRMSn5rfQB+605R3T5I4LXV2gTLoj+6y8WHiobI erjKxO791R/+vDwf5IYJsLkcnA8y94Ny0Jja3yMEHuat3ky/6gujm4s8wmME Ntlap7qe+sDfqn6knrQxv3+IFr8PgmOTba6PE+C/nQzmYG8Y2kXWLpN+X1Yc PUJ4Idr/6mLQBIG7nVLxpY9IMzOKtpOuY5uoVTT1wo/7VnnckwQOv2Vkou71 wrt/WR0NSZdK6T0yKfeErTm/0j+kpx/VOhZd9sR+do4MgSkC2oV811wWPRBM 5Qn1JV2gV+0ql3MXbRu1Ck3TBCTenA5wsnHH48QbVRszBESq7lq4CrhjtKeE dnGWvI9nTYfDGzc4bQymRJP+xjRmeZ3ihk0ZFVof6X+ny+akFNxAmzlcd3CO wEG+ktSTP11xbv/JflPSVY99m2aeu4JjPEs6k/RydLvgNV9XzI1MfhgmvSu7 L9wl5Q5Un4641X0ksHNgVWT1uQsqzJibkz4R5H9rftN53hnhR1NOWM0TkJ6W saYKOUP11608EgtkPmMtx4tanPBIr+x+GOnB35UVIu2doBg4cHP0P3voFQny OYFlm4Hfb4sEGtje/2ZI+Qs3KN4HG0jrPvF2YmH4C1Yn0q+oEQT2dC0VMHo6 gtcqUqOddEDZ5Q2DLw6YFDUR11gicKzAhraN5oAqWeczzqS/F72witF1QO9O nq4U0ns1MljmGB0QPSrD3EDaiCnu2pMye9gyZW2ZI+30uI5FzcIeql7DSTuX CQj27+8p5LOH5uZUmxRp1rMzfHYjtogoM3ftJB1M/UN2Vs4W2r/XLwt8JjB8 3lf3Z8Zt7FH+9NCW9P8Aa01svw== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Hk4VVsbAHA0uT5D5jENhEMJpXBvZ+X6iAaJW1TkU6FURFIdl+gQOqUU oqRcRClKNzwfznvWTrlRoRIqGYpjzFnHPNVd/bGf/fz+2Hu9652W7gty9ZWS kJCIp8/Pd62j3rdCKwwFW6aMPC+NoX2xOOqkPYatJ6Q9pa3GUNLjzGtHXTHI DxiOZHeMoi1STVfz92LoLCyYnHtlFJXwUt++P4LhxdhEq3DdKNJx/1NXhoPB r+/LXNnuEXT8j81it3MYDjleKD97YwSxHFQ4VUkYcva0v4l0H0FtJvsKAjIw ROtOjzhrjiC3f4qM8/MxYAm1PzTfDqNkL8OqlscYSpoqKiSSh9GLb2EfVfkY TlxJSTLZM4wOWCu1HKvGsOlvbmmb4TCyDondM1uHYdFgh27EpBiZ3/V7HdyC wcH8aUreczHyiMwb6u7A0CUdlcxNF6NBtufMiV4MNySZjbuCxYj3ueW6pQiD degrMW+rGAXukdWzGcPw6sPutSkrxai62uxzyjSGdO3zWyQVxUhfrYK9S4KB B7MJc46ME2TvOqN4dS4DLI3OTZHtBMkmbnvgIs3A0noLw4FaggqaV42/lmFg /qZKSyk+QQ2hvzcoyzFg89saL6NHBDllvPTVU2DgzZ0rUY65BPUdl78sqciA 773ASOfrBJUqH/3ySIkB9xzOmOFlggaMhTW6ygxcr33yMfEiQVa2qYXx1Es2 GMbN4RG0mNd6c4ha0rmtIDaeIPnDgjw3FQbyDBV/qJwjSJXDi/L66SgNdlMs QSUeaq7+1CcXKmSmU0/hAzrB1KV7OnU9qc+6VP44QZ3YEeW/nlqxcGMHhzq2 f3uZLnW1WvfzM9Sp25b3/ogh6EZ48b0Yamb212Ud1D7G+YGJ1FxWf042dXzs LpM0apPsZEc/ahuXmvYsatO65XIs6nkuoYclVRlwUFpeWRtNUMuhbrO91BzD ognOGYJsJRxQGTXXwpSzNoKgFZkROQpqDHyN8Zud5RC0acM7Wzd1Bv6u6axK CqHnm5adOqbBQLhJYFBDAEFzDOJsAzQZqCgP5xfuJyjEz2K3nRYDtbIGhTpe 1N2bnb5T+z3jeSu4EyTHn9EY0GagJfvNpRhnglwql166qcNAj5T7fyU2EpTD 86/VXMTAc4+jc/dtIMhiQamiP3VqTVHiRRtavzx74Xlqi2OctQGWBJm3m7B+ 2vJNXkCnGe2Pab9Tm6kfczJiiDFB3hNVFa/o/5tVWu7+YkDQqqc727WpFRYF nZteStChYaNONo1n/o76Hbd1af8Q/RVsGu/8kffbmrUJ8n8Q1rKY3i+pX+9A giZBfmebxD00H0nbm4wy1en3Oy3jbGi+NFgVwhuqBKHyB7/9rHe0+gXduSoE cZ2Tcq/QfsvaGeQASgSJ2fc1sxcykKMiVChXJEg7vGg6V56BhMAcq96FBGU6 cYZuyjLgzWnOZlOzYj7MuUj7vZBXm1+sQNDlyAtvQ+k8qF0wimNTW1+qytw5 nwH9v1jTn+TpPEzIea+m89OzubU3gbor5LRRmiQDN/eWOa+hflbZWDz+ne6T b7/39MkR9AHqwHUGw2nTeO49arPp8M93JzFYsofxMerHq51PzdL5TfXp6fyV +kvX8o9bRzBcULiRLkOtpbzJwJBgqE41dXknS9Atx0uZM4MYMj2Cz9ymTing Bb/uw7D4/MTeQOo4po6fIcSQfNjdZz11U4J8hv9XDOpjd5fJUe/wI+qr6H7R efrYs/U/BEWrr/v/vFYMNvdOON+mPmVf1vG+GcOt2iVB+6kZ00/Jf73DsKpw IsmAetzu+PuD9RhqNkak98oQFG739Q7rJYYVwrCQ+9R28QuEoucYwvwjPX2o fV6PzxZhDE9qBjpUqQVsh26/Cgwsl21TL36h9R29lq5aiiHpu0dWBHWqfZBK xCMMiZzqzSupC7Qszn0soPdN+xr6SZqghzUyQrM7GPSE0to86v3W5iLrWxgM Tgm1Dalb53l5WaZh+F8jfyezgMbHdVuiR/f5kG5gjSd1gOq0/uCfGFzKTcJt 5tP+57JknQ5i4A8NdCjOI+i0Gnlk6Yah+AVDOucQpHI2y71tK4Y6H/21qdTr XzcORzvSfF1zUnSidh4uiV5kR/fv7ZTYaSma/1Dt2Ufr6flOtVceUD/fwbX1 WofBnnua60pdkiY99N0Mg5l5rnBMkqAkq+AfqcYYfu2a4F+nrt+7Xbl4GYb1 zk9YLGrzBQr3+FoYPqkOQYkEQT0DE2UVShga34uj7KiPcMbXyvYJoK2l987k rAidvNrCymsTQIfH0f791En42TqTRgH0futvfTkjQp9zZVzSagTQxR2OXEMN T719Vz4RQLYGp/rHlAi1Zu2Y8r0lgG4zrcpnkyJklip33zZBAE5S9e7nJkRo qvH0ckGIALKivl62HRch+UNu+6zdBMDP9fLjjIqQ6lnpGMnVAphhM9P5wyJU FbHMSkNJAB5bJja+IiKU2LW7bqodwNlG2l44JEJN3gfd4y4CkOIVB3mDIlTq S8fRCsBpttd9Sb8ImfwTYxnXzoeHS50X3+kRob5JXbZkHB/qHTIbdLpFSH8S QYQJH7Y+DDsf80WEoksSC0eOVULj+dtvrT6LUNFsr2BNcwWcNB4ZbW8RoQSe VuOUTQVkNPh0+zWKkPatQVbTw3Lwql94M6xBhNyTw1CxXjnoGf9QDnolQv8C k8OIsQ== "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{-0.1612499999999999, 1.075}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {-0.1412499999999999, 1.095}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[1.0999999999999999`] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdQVde3+LGL0YA1KhHFAhqxhCA25KhJrKiosYIdjRpFjESsscSODURi i0Gxxd5R1FxbULEhRRFQ6VIvRUDFws/fzP2sM3OcDM9ve+/N8687n1l77bXX Pbusvc/ax2LstAHjSxsZGXWqYGT0/38Xzn3b0nxpjG7MlV90I+yPKt/86RZ5 dFC4sEnpP58vcwwWHmo+p9qx03uF0R/e/VHMxS6XRR9GH0YfRr/soRcPBoy/ Jfow+jD6MPpDjCtN/vGbcNGH0YfRh9G3Pv/ZxI6Do0QfRh9GH0a/1LQmE8pO fCT6MPow+jD6GevrHE+xjxd9GH0YfRj9QZMbfHnzr0TRh9GH0YfR131tdfRI 3xTRh9GH0YfRb1avZSvfB6miD6MPow+jv6HQ9vCs0RmiD6MPow+j/+ZuxxYj 0rJEH0YfRh9G/+R3FvcbtM8RfRh9GH0Y/UmXdtXcMD9X9OGEbXaLv5/6QPd4 5o4qrcZtUhx1ffrnz70jjD68e6WL/Vcdzr9X/tNPEguGxajtQ077YNqnlaNP fbTvcNzSXZ1cQ3T2KVeWzrTOVeatmzx/2Kg1utoWmYubDdqjfLl6S1TX2Q91 1of3D7J2d1c2HAprvnpMpHDBnUoLInveE6Y+WMaXgac3KuwVantZeOKtWwl/ VTopjP+Vmv1+LntUkPgD0z67md4XLPueEn4Sc/Dsmek60W9VlP5w5cBrog9T /mqDpOG7Q64KbwnPHeoWe0P0M1uVyVhzLlT0Ycq7LSse3FZ/R3jntmVfGBmF if7lBNO0wbcjRR+mfOWZa/5IWhEh7NnPt+mNqg9E32+j+dP6T6JFH6Z8fNOt ew9teSjsWHqnpU+jWNGf0sM6OTXniejDlD8ds2/3zIOPhddHD/E5tCVO9P3f bMsduihB9GHKd+sec6/+k3jhohMjq/o0SlSf34MA906VktXnZ2DKH22Q4FR2 YpKw65rx62ceTBZ9j6P7sy02PBV9mPJ1i1LvpuakCN+ZMMXEuU2qOn5WHnMr /3m6Oh4MTPkl4dl9b89OE27XecZa5c900e8x7kxW+q5M0Ycprz9YePtYaZV3 1plTpXH3LNE/bq+bcrdFtujDlB+67I2jn5deuMqzhasrhmaLPvML4yW+VekJ nVblyHiBmV8Y3zDjm/pZr2HWX5j1FGZ9hFnvYNYvmPUIZn2BWS9g5n+Y+Rxm fhb7hvmB+S94uS5zgWOyA/MbzP8N738RVDqiSYj8H8jvPXPKGTFMnU+fl3Vo uXJzrlJx3gSX7snXdClPS1fVj3j3/11admVW5wcOJkuijusnrxKOHpQxesb1 HcIRMd53FvkGCneeeXDfiOYXhH0HuiaGZf0lHOI/PbTz2evC22N1045XDBXu 8Eu3CZPc7gl7rLs9dW7dSGFTu+9cbRbeF+7RNeaHb6yjhZNSx4x95R0jbF6Q OqmKwxPhR7fbtk7oHyf8cuCrrzKsEoS773U4Ehyt8rgWpU/cPZokfGzhty0P jEsWvl3e2OZk+6fCZsMdD63LVLltnMmxTZfThJd+NdDa46d04R1na7We3ztT OLvy8AND36r8yYZ6R8ZE6IWHpYz+otPybMW6e9GUUcHnda4NrmRmRr7r/x6L PafuOqMzPTJyYHhgjmLrO7fs7HrJf7Ieoi/jwcAyHgws48HAMh4MLOPBwDIe DCzjwcAyHgws48HAMh4MLOPBwNp4JsRvfJBT91ylbPORSbrlF95b3+nP0v7M zF1P4vcr+zet3W9VHKCb1dXxR6/eOcqyt3PfRPmH6aqVCu2/4V35YIevSu1K vivMfMJ46lv5fPqkxIe61te8eugG+TvUqDw72MxE5ZktjtUZ/zxC+GiL/E4n bkYK0z7qq9bP2vv1iXsij+qbNuXwk1DhH+O6Lsxed0M4Pe76da92N4WJL2Dm T+o/2Kj9NHPjKyK3a3TCcvHoS8L6m922NBt7XDjh1oDmY0+cEqb/SPxh+D83 mXofvFnhhPo8/QcnG8delP4m8YZBXpA1Lsxz7xXhSeV/jN9aHCLlJb4wyH8f uOCO8c3bwpVOB+v9vMOkvMQTBvkulz7JfZ6r/fPxxIjMUQEPpLzEDwb5HBPn xFrGD4VPmiWkNz0VK+UlXjDI+16eGP+k7mPhb5965s9KjJPyEh8Y5N4dzk37 zk/t/0cu/jxjxJREKS/xgEH+qvplfbv66vxSZ8vSvC4FyVJe1n+DfHzW9an1 9qnj55cZq6db/pyqjnfWe4P8bvDdzFJfqvNPluOGnEoVMqS8rO8GeXv/+z+k nFXH3xDLLdOy12VJeVnPDfKA2Y/SQ7rqlezSp5O6n5mgi7C923FEuRxZzzf+ 8UVS5r0cpeiHHy1CnU/oWvgtbVrGW12vGa+Xz30ypFtotIw/f5dmw5WGUcKl fx5zaEWlCOHGj77ev+7MfWHGA+x675TNtBbbJZ5gPf3N+7RVrFmO4t/zdly9 ARulvwd6dWjvWXehcJgyccc31W5LfZn+W27saXBFl5Ia52lbV7X3bXha6/T+ Z3SspzDzFcz6C6N/vf6thNrN14s+jD6MvlauXd/h4ORSj1wSTirmLZsOKnc5 T3GZ6m9hHBoinP5sVPr0XyOFLY9lf/0k+JHwl4G6vpavEoTvblz+KrbaU+Gp Hv32bfgiQ/iTgZ8N6tU1WzhyU/ZCo0O5wo1XDHwQc+aZ8AzPwBaBVwuEL08w W+IT+ly46uAF0VNjXwqP/jaxdc/UV8JHbLsvb5z/Rri40YFHxcXFwvgfvuWA r2f5fPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8X1GhVURa rwLxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/HfwOF7dZV2h +A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MPMv8ZHtoZV7K37q o1z1nNDmVv08pcFR0+tb/S8LI5+VlObh4PpMcay5qdO5BfdEviLM6temRx4K J1xzftErO0544Z5Gu0tVSBY2X5rR/4x5mvD5cSfeutllCbfYcSGy2t4c4Xnr Laz1x/OEby1YuvjGn/nCdaelRe0KKRSePLJPq4X3Xwif6XNsqXNCkXDFTjVj 7fSvhYdYz7apVvRWmP9L63/L/lNPHt2XL5x4IedZw6wCYf5f5lv+X/qbtj7t /Iuc/gfT/2D6H0z/g+l/MP0Ppv/B9D+Y/gfT/2D6H0z/g+l/Wn+Zf2DGI+sv 523V+yeVfzL+D8Vv29LdR+7kSn9l/WL/rz2fQ079Wv22MdsmHXU5KOsljL57 g1gbi84nhNf+tGiqefudOuIRysOst8TvyGHk2IfLBHjbhVS9IO37c22Ux4Az wcJFvSfe0T29I7y17OsNfl7hwu0Tr3Tu8y6OhR9c8soqcy5G+Cf/gVuCwp4I r9KtCWhXEC8cdTj3ZfVSScJNtw9yyq6cIjxzzdk9IbVThYPn1Xuzu3G6cI0p iwYuap0p7Oqc/IeLvV542O7GRp83zhEu9dvgA8Zf5Arv810x+HmrPGGn1UGl kts8E37xS+bBsI75wv5zzYde7FIg3G2GU5nD3QuF9ZMXH97a57mw39iTw1YO fCHsMDylrOewl8JJ/WsfdR1VJLy6Zy/nAeNfCdt2mVe+8w+vhWPbHT7WYvob 4V9ax7mYeb4Vbt60WkXj+cXC9B+et5xPGs6niJe18eF/9fxmj/f6l4Mt//78 Bn3iU+SynzXMR8TXzD8w8w/M/AMz/8DMPzDzD8z8AzP/wMw/MPOPxP+G+Qdm /oGZf2DmH5j5vKTzrLCgGIvgl0d18K3Oi9dF/LVHV9J5CuXt7ap9FnBY5YQn JyJMK6r15+zcOLjmM5X9HNvW+MUxT3iPSR2/5W2fCTueDRpYsF7l4fO2Rb6c my9sZOmw4ftIlU3T6teccrFA+LTPpbCHdQqFWZ9g+if9kfVK9uOa+ZT+I+dn hvULZn6Hmd+1+6kViwL22p2+ptPW55cZbhfrlKtEpNjNf/PpcbFX+o9Tlsuc f3vPvuOwITP7bsxT3BskDcgz2Sn1Md/yvP0WR3V/kHBV5JtWWG3zqaIT7vy5 adi0EYeEj6/yjg2fcPa99rGeafd7jO/3/GE+Mfy/st4Y5J8ui/163rJTwtu/ K/Vr6NCtuv/r50slnQ8Qn/J8zyTdsj9/KlD6x57WzWtn2l0STsgKmj5swg3h La0KPXtXuirM8yG+lfFa+uVX5/Vq/zYKjj518aEa/2L/fubSe2fa35L61g7a PT4xJFTY2nZqtS0JEcKVIlfV3GAbJkz8TH37Tgy43NPxvshDqrXRORVFCU/M ff1DhWqPhLv51J1m5Bqt+muIv6kvyT3BLHDuY5GXmTi28hPfOOGBQ4LHBvkn CF+yGpR0ume8MPE79Zl8draDz6BEke/o9sXZjQeThHPbrDWZfiZFeFT5et5T xyQLE/9T36GChU97TH0qcqVJ3njHq6nC62oMPm8Vmi78JimpU+PZacLsH6iv d0QP3+IlGSJ/VCaoWpnYTOEWz+pNevxUL7z1ysH06PVZqtyw/6C+tOOmXU5v yxa5Q+7FJ7Gzc4RTUvNWhSzIFf68f9DNHhGqnP0L9V3tkTnTLlotvyausd2Z pXnCbaIGx+/2eib8Q2fzho3jVDn7H+qr3s7pdtUUtfyjuytWb/DOF15yLajt ol8LhM+1WjyrOEOVs3+ivrFWJxtl5arlm+syE9x+KxQOP22+1iXgubBx/ZQ7 0c9VOfsv6jtWq/ac62/U8nMPO7Xv9ccL4YZ7Fie1PfJSeNinvZqcLqMy+zfq Myo/LzTAuEjkN347ua7JKZWnb0zpUP3cK+G9bw7N9TZRmf0f9fUreGK5oOZr kddZUzvF6JLKF5f08tYHvxF+nlk1bIqZyuwfqW970tfzh1u8VcfrvHn2sbdU NvU4/PRGWLE6fmN/atrDSmXmI/abEh9Mmzej5Vcqn7YZWWBjXiDl2Y8id4kt Pu7vqfLk3+Ntd48tlPWK+ZZ4McXn+aPh3XOVn2ttfmIy8arsryq/PF54dpn6 PoX9l9WbSSZFlXPfe3+CvWXN8k4+GJ8j8R7xLvEeTLwHE+/BxHsw8R5MvAcT 78HYJ97BPox9GPsw9mHsw9iHsQ8Tb/N+jXgbJt6Gibdh4m2YeBsm3oaJt2Hs 8z4P+zD2YezD2IexD2Mfxj6Mfd4fYh/GPox9GPsw9mHsw9iHsc/7SuzD2Iex D2Mfxj6MfRj7MPZ5P4p9GPsw9mHsw9iHsQ9jj/ev2IOxB2MPxh6MPZj6eZ9L /TD1w9QPUz9M/TD1836Y+mHqh6kfpn6Y+ni/TH0w9cHUB6PP+2j0YfRhyvO+ mvIwcm2+Hfsp4g/ez7P/gol/tXLexxKfIie+hIkPJd/OEN/BxGcw8RVM/4Zp L/ZpD+97kcPIeb8L8/5Wzu8M72exr5XzPpb2Up7xACOnPPq8n5X/z/D+lf9D K+d9K/8f5elvsDwvw/tW/n/06V8w5XnfKs/PoE//ginP+1b6A/rsH+X83dC/ YPqftv9o1yfkYt/AtB/Gf5jxDPM8tP0Fe9hnvUAOI2c+h5lfYeY/+guMnPmL /gAjZ/6BmT9g5gOeP4yc8c/zhpEz/nm+MHLmA85LyTfl/JV8Rs5zyQ/k/Jd8 P86Lyd/jPJZ8Mc5vyZfkPJj8Q86PySfkvJn8QM6nyfejvdTP+T35fPQ3mOdL efSlPxnya3MHdP8r1T1PWM6bDPspzlOI72DOU+nvtAd7nL/DnL/D+Afzf8L8 HzD/P8z/B/O8YP5vmPN3mPN3mOevfX4w5+8w/w/xJ/8v+cHsH/m/YMqzH0QO I2d/hxxGzn4NOYyc/RdyGDn7KeQwcsY36wfrEUx/Jx9Z3lcY1gP+T/J96V+c 15HPDTN/yvsQQ39mvqU/ke8KM56Zn5EzP9O/8Yf5jOdJPjTrEesXzHxF/yH/ WOIDw3oBM9/Q3xm/2Gd95v+E+T/JB2d+pz30V/KlmR9ZP1kfYPo/+dH0V/Zr vB/ifRz59Pz/FUxPBJn8nvve/orzR9YvmPULZv2CaR+MfzDrF8z/AzP/wFWO HtnQYVqurG/sN5Gz34TZb8LsN2H2mzD7TZj9JhyYP6FS0Ce57+3H4hcuabZ8 XrhSbbtzdmlndX1c2PPmtjYv09+L91P87TZdaJaguNkcuzHsh3hZ7/S3Ny2c Exst69vaV65hm2uEvRfv9gi9aHw3IPO9fOKGLuNMA949vx6BC91i7H10Nlb6 Vhtn5iquu5JPfdX1oNLo1qgK31TOUFY/9Do0q+sjZfOC7daOXyQo7fQnEwfd TlY87N1PdvwuVinTym/JbddUpXDN5lZV9eHKjlVeXn/Gqvlt/6785J0Zs4ct Cc9RrJb36zfIM7jEfGXL8g1NSzvkKC26bF+20u3uP52/7Fto0sNrvF7i4b1r Fmxp6JupDA/+ZVutWmr5v8tvpj83u76lia68mp/7j+Y7B9fu8JnVnhQZ37ND nJ1310hSps0eE9nQQy3/d/nQjL9N03qcD7ZPVia0KAou/3WiGl/HHa5Q78s4 pUX6uVND65WcPy3nB6PdLpzKfar4zTmlNH/2WOLt79z961q3iFIS3A58tmCX qv93+dbMH7ti1ziZub6Lx0dWHrzD577Mr3sunjnytPVdZeXAT73KfVpyfraf Sd6OJ9dDZP2oUXdxrWX2BySeJz7ifE6bn223+2rk7DVqvFRSvnY5z8M1q/6U I/Ez9U8YqNuuH3+jxHxuyc/pbGUTsb/k/G7bB0vn+bZOlfWJeLtheM6iOW5q fj3xdevuXmvrl0qWeJv1LfjTVa2WXHo/P5z1JfNYcaNU//fzxYm/N40JWGls oz5fbfz9Y5s3/gtXvp9PPnHPp4UHii++t36PbJd/yu5kllLa/e4Oq6pqPMp6 7nPBslySX55i+keVft1X5Srl35oGel35TSlnb1/p+1J6xXx4xdyL1+8ri37v 2HvAkixlzrV8/cWCB8qIy6FfxOuTlcMPh13JN01U9vn9/EjnEqwM8BrYr7Bd ljLg220dfYzV/jC63KGrux1UdjZJ+/1lv2yl8XKzhPGDwpV+2+adnhn4VBk3 RT8kame84liqok2jlCRlyGb7bZbRiUqUUfvb24pDlNFt99Zc81umElbm9PKp V4KUB9Uy8uNH6BV95+p17VdH6xzGllm+NlXdPy4/HGkdXuqZ0mBnzt6K63OV xkOjz+SlbFCK7O+kLDDJlfbkNys74urBY0rYvoxutno1/v/atPur/ef0Su29 9vuSUgNlP1A53LNHXo0oXfnGuwbU2KfG+8fMJ7ttupWnxLu3mbg/QI3vjRqb Xgt6x7smB5zI2HVAl3W0ZV2jb3Ll/MEy0Ln6r81ylYR1d5r1nKpT9qXn/Dro HZ9sWanlsVk6ZVKNls4Zwep5xJVJwzuE6XKUpck/VGh655ri3id7Z84O9bwg 8eKM7VunpCnrtlsdOdY0Ts3fqmSxozDoXRzgMNxz6eVQna13K8uARPW+Y+2g w+NWNctT2vlOcqr9Mkz2I6avHilB/pG6xTWmzmjwfZ7icVf3U5ZZhO7k4aFJ 8x3ylNejDq503/YunnhwfXzIoUDd5QvDjbe88zdgQM2yb2sd0mGf9V57n6Pc gJxfPws8KM/Dwinqpz019rw3n3D/gf5Nfat2fqJvMemcWj7gswUTgv4ULlpr ttl/9TXhxWs3OpVN+kv5R+8HMB6x/2fvJvunV78j9dk5Hsircv6u8Jkl9fZc KAgX/nlJ9KJpFioz/qnv83E7W1q2fyDyweOSB3hUiVL7a5dDxV80iRUO6jI5 JtYpRpj5RvJxGtis2DDxich7ru9w3908Tph4BZ5bPK9uk4vxwjK/Geq7oY9z N7qVKPKnbqV/sbJLEm47csLD0l1ThOs8/uZazINkYeZX6vv+9r56gYlPRb60 T0irx31ShSPtWy47OyxdOPB8ZQ+f7DRh5nvqK3fQPWTqqwyRN7L2ifUdnyk8 w6zQxn26XnjQ1ogGPSuoTHxPff62Rj5Ta+aJ/Gi+qdmiXioPzewa7Ob0TLiH tU0nZzOVu7n3K/jB9d36t6Vfmc2fnFBCnLbVrfJdrmK7terQufrTsr/FXk4j 19QeFvmib5TkMd1lsMr7YvZ83sulQHiTmd8GOyuV2f9Sn0P16w6NWxSKvG94 1LW2Y1UuDKk0o8nE58IplYrSqn6lMvtl6ltb2npjcbsXIt9+2d68upvK3YLc bhh5vFTHQ9GIzlkOKrO/pr7Y3HUZ0d8UiTzzmL+HfrbKvn+E1Y9d8Ep4Sdol v+u9VGY/Tn3W8c+6nHZ6LXL7HWVv3liqctImu5mBXm+EI6KaZAUMVpn9O/XN Cx2yydvlrchXrZ9osdtbZZsVW275/Fos3Pj6yq8XjFX5Q+8TBemmrH7+PEdx HRv+dm3YlQ++X2ScNuDUlFo5cr7w4sir7pWcc5Q35dstrPz4ttLSZWWA7fhs ZdauAUds6oQrWd/17R2Unq2crm6W+OXqe//j7if1NnHZuCw8Q6nVcXDtCUdj lN9DdplXaKuej3BecrS5xcj2WdHKomM/fx+/M12xTXasVdf0sWJd2ObxaCVd adnE9Y7P7ccf7ztp7jvZjnE4MuuTHcqYcwctu87P/rffZ+rqe3qY11b1/Xqz jplf1husvn+sOyo6IybpkuL+cn/r3rfU86k6yvSfXrR7F5embPXonfOXnE/V GLL2+NC3kXI+tW6q7pPrB/XKd2/X2TSpEamcrd7GZ1jfLKWdy67BMTOilDLd 6pXbEpmimK3rF/m9c4Ky8dC1wN9bxSuTnod7Lp+Zojhmrjz619fRytLpoQGb y6Upay/2v1ct+J4ybXNUnS4zM5Q5DjfGeNwKUW5sPv/K5d3/f7bh9vhxFomK sW7P8kyLZCV09EDLtSMfK2P2vj5b9/JTZf31E3lupvcVMyuruPld0hWHvkXV 9y/KUZpFtdrw4sBN5du/9A6evqmK13S73t2exinO+6eY3y2TrLyy/s0h9Epi ifc7iVf5PznPgNkPwuw3YfazMOcpMPtvmPMZGPucb2Efxj6MfRj7MPZh7MPY hznP0p5fwZxfwZxfwZxfwZxfwZxfwZxfwdhnP4t9GPsw9mHsw9iHsQ9jH8Y+ +2Xsw9iHsQ9jH8Y+jH0Y+zD2Gb/Yh7EPYx/GPox9GPsw9rX5C+z/aQ9Me2Da A9MemPbAtAemPTDt0eY3cN5A+2DaB9M+mPbBtA+mfTDtg2kfTPtg2sd5B+2D aR9M+2DaB9M+mPbBtA+mfTDt0+ZXcL5Ce2HaC9NemPbCtBemvTDthWkvTHth 2qvN3+C8h/bDtB+m/TDth2k/TPth2g/Tfpj2w7Qfpv3a/BHOo/AHxh9YzmMN jD8w/sD4A+MPjD8w/sD4A+MPjD/a/BbOz/APxj8Y/2D8g/EPxj8Y/2D8g/EP xj8Y/2D8g/FP+76C8z78hfEXxl8Yf2H8hfEXxl8Yf2H8hfEXxl8Yf2H8hfEX Jr7g/jv+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/9xvwX8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8136PjfNr8n9h7ovB7De4 34M+jD6MPow+94HQh9GH0YfR5/4S+jD62vu3MOelnB/z/kPu4xjOpzg/5fwI 5vwH5vwG5vwF5vwE5vwD5nlo86E4X4A5L6D/wJzPafPb2H/TH2HOG9lvc57J flryAw37Zc5j2Q/L+1wDc17M/pfxBPN/a7+/I/fDDfth7ttw3wc5z0+bv0Z5 6me/BLN/4f9DDmv3N/z/jD+Y8Qcz/mDGH8z4gxl/2uerff9GvM3zk+9XGp4X 8RD/N/M3/jKfwdrvK2rHN/8n+SV8X4/8EfIxyA/hPID8Kb7HRn4M5wPkh5Cv Qj4I+SicN2i/76bN7+ptbJxsUf2ZPG+Y8tr7tfhDfhP3tRnPvH/gecOU5/uI lOc8kfIw5cl/Yfxx3sZ8D5NfRD4M+uSz8DyZf2C5T24Yf3Kf3MDIGa/IYeSM b7mvbmDk9C/kMHL6I3JYm3+FHEZO/g75aNzvhrnfDXO/G+Z+N8z9bpj73TD3 u2Hud8Pc74a53w1zvxvmfjfM/W5tviLfy6T/871L/g/2h5ynkr/J90Dpz9yn gfmeIUz/YD6FGe/Mn8yPzJ9yn9EwXrTjaY8upKzzKfU+o8zXBqZ++hdyWOYb Q/+S7y0aGDn9CzmMnP6FHEbO/4kcRs58ihyW7z0axrfcbzYwctZ75DBy1n/k MHLiAeQwcuID5DBy4gXkMHLiB+Sw9vlzX4znL/fHDM/baObqxr5DVHa27vvN 7Zf5os/9MfTlPhnfR00wcS2/TWXTzfd+URzU+2TEW4wP1l/Gh/b7mZLPa2C5 P25g4j+eJ/EO8RDMekY+M/2L+IZ4HSYfl/xmuQ9hiH8kv93A5PeS/0z/Jx5i vwCTL0x+JeOffFPax3kB+ZDkc9Me9t/kE5PfjX32r+Qjk+9NvCXf6zEw/zf2 8J/68Y/65HuuhvHC+Szzu3xv2CDn/BQ58yPPh/mP8audD4kHJD/ccP5H/+H5 Es/gH/rMb9rva3zMF/3flS/K86lcu9FJv3N6ed68P2N+gv+vf8/kP5VP+3ff R9Hmw2rzXUvKV9Xmo5aUT/qh+aIfmg/6ofmeJeVz/rPfh9Hml/2nvxfDfCrf i9Hkn2nzVbX5qSXln2rzS0vKHy0pX1SbH6rNB9Xmf7oqSZktjS69l+/p27r2 m14n1ff92v02+X8lfS+npHzAkvJJP/R7O//q/FNtPkNJ+Ysl5R/+p/NZP/R7 Qv9s/qv2e0Ta7wdpvw/0Py6/9QO/V1RSvuq/Or/0Y77ox3zRj/miH/NF/6v5 otr8z382n/PflT+p/f4e38/Rfh+P/Xzvbd7ros/mKtrv6SWkeLl8dvyWzqZJ uenldvzrv4f38ftrH7+/9vH7ax+/v/bx+2v/2PfXSsrX1n5PtKT7cf/d+dra +34fmr8t36M94By0pGCG7kPzubX57dQXt8Dp+aTKOcr/A3T+G94= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvlz3lMUxs/7hiaSaKOJps0iibSSCm2aRBtNtKXWqJa3FC0JLSlpNaRL aKubrfgBY9/33fgLLGUsY5mxDMMwDMMwtmEYxs7zuJ93vD985t7vveeee+95 zj3zbVo+nFuTjYhvRJE4XPSKWWKC2EuMF8eIOWK2KBZZ7I8VfWI3MUZkmDtS HCK6RZtYIw4QpWJ3bMto7W+xyIly9ttTjBXVfFeCx8bR7oG/RWKhKBEniyWi ArtS9lkmlooqsUoMicliQPSLiWKlGBSNYh8xSdSIFWK5qBP7inrma4mRz9jM WIPYTzRhO1VMEweK/cUU5luYb2aPvfE1TKxaxVoxQtym4cs+ptM6rh349nwn redHxQbRLg5GzwyxqSQ2veiTZW4M2mTRxN9zRQ+++xgvwq4UDfJa5r/Hol9p gVbOhdmszTFexlwlGi9krJj1HnP+Xcw9Z/I9gXgtJfaVjNUSy/GM5+1q0LIf m2r0bOB7EtrVY9tQoGUNNvXoZV0H0a2BsRY0HaKfz4Vm5qeg11S0bcOuiXX5 nGjDrhW7lgK98znkOMwo0LsDnTuxO0rMR/Pt4sRIb6qH+HWgbzdaFKGL36/f 92H0N6G9/R4q5uGjGy29zjkzC3+dzHfQzmO/uazvYZ85+Pe5FnM263sQ97K/ XnxuFQuwN33sW0zf7z2Hn/x7z9F3Li3Cv2vUcdh77ATGy7Ev405Hc8Yy1pcT x/mc63jW2882vks47xHEpoS1PqPzw3nWyBlP4mz+HmTe79E1y3XpUnFGpFp0 CuMVtKdiY5z3+Xq4hLFqxifSLqN/Gv0q2tMZN/2s28F+3quW8TrOMoDtJfiq Yn4AG7dn0q/jvrW0K7jrWfQ9fxnf7p8Tqeba5nK+3W8mPpNpV9K3j7Ox8VvJ 11HPn4vNFWI1fc/5TbbSrqJfQdzGYTfEnq610/Ft2/OwX823bZ13zifr7Dfq eu36vIBx5+lV4sJItfc38YfYIn4Xf0fKdc+PYvOreFJsjvSWN0Z6T56/SHRh t4HzbaTfRTtK/2fxOL5vEx9GyrmMHmpWXK3+LxH/PVz73SnO547/iF34+V48 zNyP4lGxTtwhPo6Ui9+KB4nNXeLTSLnlt+W6U46d86aKc+wg9n6L24ih77Ip /q9lrgUziJf7M7nzCDHwOdYS8xH67ehwAeOb8dtVYNeGnju57zWiKJPqlNdd ie169Gtn/y3o5bq4FX2d787jOu7sd+s34tx0HjdyrvX4uUm8y71vEe8TpxvE s/h2/jp3nWNPe59Mqp3W7fpI2n0l7o/0Tl4Rr0aqO7Z9KpL9feJLzvKA+Brf L4uXIv3ffSRuj/Tmn4iUE86Hx8RPnPsDcWukOv2ZuDtSPfhE3BmpFvwVKb8d o7fFW5H+E98RN0Z6E4+IH4jxe+LmSHXzdfFapP/EN8SbkervF+LeSDXC+jwT SaN7xOfE/iHxHXq+IF6MVKOvE39Gyhnn7jBaW9t16LtLXBspN+z7efw/x3qv /RfWddIZ "]], Polygon[CompressedData[" 1:eJwt1PdvTnEUx/HziH/E/2BFlNYWpNUSBFEriFENUi3RaquqZuy9t9qlikbs vffeo2ZR0RjhfXI+P7ySmye59z7f8/mc22hQVvqYBmbWGQ2xALvRCjOxDw/Q A1NxBrPQEu2wDV8xDuOxCk/RF/2wA3XIwUSsw2sMxhDsRDVaYxLmoR6T0Rib 8AEjMQob8A7DMBxLcAepSMMWfEYWxuIiZiMJHbAGLzAAmViG+8jQGa9jjs7v M1mEm+iCrjiJszp7M5zDJT27OVbgEXqhN3bhJ/J0piu4oWe3wB7c0rPzsRd3 dZYCHMBL/ddiVOCZZluEEziOpkjGfMzVdQoqUaNZleAQPmqW03FU96Qog8s4 hbboaNGFhWijmXh26zFUGfos12KgZvoKBzFNv1Xhi7IoxWF8s+jKDGW3FN2V oc96Mbpp5tc0M59VJxzBD4sulVl0bTX6W3TOs1yOnsrUs1iJPsrkgjLzrNpb dPm8rr3T+/FY2RXivWbmsxqB58qkWO/0bpcj16LjvgvbMcFiJ7yrG3Wvd/YP /mKKMrOE2T+LrvszvCu+E74L3pnf+IUmuse7fFWzSNKs31jsks/8rTIvUUa+ O5sx2mKHjll0Ll+ZPtSZCzWzJxYdK9LMapWZZ5VtsVtbde079kkZl+odvjuJ RHw7vC/flVmZZnLbouMFyviexTfGvy3egdMWO+a75R38D7pwp14= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl/dX11UYx7/PLUBxIDKcgKCEfGWIEIKCgIhsk2mKWmKZK3CW2bBpew8r s12nsvoXKtv7tPeu096703q/z/P+HvjhdZ7PuPdzn/F+7vd+s/sHOwdCJBLJ sEjkMNj1sBeCLnAuSACjwNkgHiSCdeB80AGuAJtBL9gDzgAjwGVgE+gBp2jO UnCB+RqcexU4ESwD00ASGAduBzvBMeA6MAiWg+vBFrAC3Ai2gj5wCdgIusE1 YAAcDW4FO8BqcBPYBlaCO8EacCy4GWwHq8BFYINiTwNHgFyQLb+SdZ867D1t OigAU8BUUGSez0wwA6RoTp7GTgCFGstxM/VsIsiXnQQqNIfvc7T+eDBXa/Nd iXJHH+fIcux0jeXa5fKbc2aDLM0pHTa2X8+LQZme0fcjZTl/FpisOCvlV77y vVyxVSsXjK9Kc3hP/YwEcWCt1qkBdfKJcSzQPOavXvHQx1qN57hFekYfG2Tp 42JZxtoi/+aBZuWR903KHe8Xak2u0aqx80GjvsFxbXrGONplGd8SWfrLHmFP sDeoffYKe4Z6p8apaeqdmqKGqK9u1ZKa7VGdqOs+1Z66pk6pAfYHtUydsZ96 VVP2BPuAumH/sYdSFQdrEjXX+yrVLEV1ZF3ZE+wt6o99xj7IkK/URZbijqp+ 7I/Vqvt4fSNH8WRrDtfO1RrJep+tnOxVXqKKif50ar0sPYvK7zTFm65xs/Su UPmulh8Fesd1SlXHqRpXoHiKdE9/yzQupukyza9SrOylChvqLdpyxbVMfsV6 jLqh9is1J6pvxHI/T+8K5G+VclOutRkztVwsqO8a5bFE72L6XmRD+m7QNxp1 z/x1qA5cn3ptVZycV684mjSHvjbrnv616H6E6pRgQ1pvU62pT2rnBPP9m2ue pPplyV/2Up3q3q15u8FRYKz869L7WP+067u9yvFsfaNWtc9THXjNvYU6P1Xf HWOuDWqbWqB+VuoZ+6dPzzhvUHM5jhqmRo4z34NqdM9eyBDshUz5frz8Z9zr FDu1wJ5MU0wbFBfrsF6xxvZxauRk8721WLnZqPww7s2KnTnepHxQ+wOKu1N5 T5Jfa+Qb+37LsFi3Kl7Gt2NYTDsV027ljjHtVa1HK3/blZt+1ZU13QVOU+xr FUOx8rFLz083/11fqvyukD/cD88z3xN5HjhLa3F/5G9AnGq1TfWaoDyx3mdq DvV4jsYnyt89+k6C1ojXOryOnU84h78x7D/2AfWdjMPNuODnkXbY1xTPQ/Q9 uJZqYevAbbiOwuYHP2sUwBaCG3D9LnhQsZfhWWnwM0U57FxwANcLYKuDnzve Bm8pR2+Ag+Zrzcf7KnALrl8H9ymuYjwrCn6u6YbtAXdLC9eaazkPz2aCfebv HzMfU4LrOWC/eXytwWPshD2kutfjemHws9WrIASv9yvgHensE9AVXCuVsBXB z0cHlS/6/yT4WHWnli811y9z86HyQy1fbq5x1vmAtEad7lf9PwLvmWuzGes8 Iw2yt6427wNqnLmnxtnH+6SzP8Av5lpm/n5XDql91pDaj+CbT5n30OfgYemL +zf3Re5ZbRjznLnG2QesCXvocfCmudYfAV+Y65jcpbV+At9Jg5+Bl8174k/w qHLO/rvDvHe/BV+aa7QJ6zYGP4dy/7jYfG/4HtxjrvkHpJsxWucHrcX332jM veBHc/2/yDWD+8d1vtZav2ocx7wEPjXv7a/Az+b9MhLzEoP7MQV2cvCz+V/g fvO+H41no4KftcfCJgWvfQpsavB6p8OmBf9PkAAbH/xMPQ02K/jZfCLsJHAl rjNgM4PXOwd2enCts7a/qb4dwXVJTXK/5DzuwU+rxp3S0QfS0vvKHfPWElzr 1Pmz0hk1ZsF1T83n4npG8P8ZL4AlwX8f/gb/mP/PeV5aoU7+A/+a/49pwLPF wWt8SLVn3dkfT5j3yOF4Hxf8P9X/WTMdPg== "]], Polygon[CompressedData[" 1:eJwt1GeMlUUUxvE7hyoLSC/SXDpSpCkgvYgEQtldikpfetulIy1ACL0LgtI7 X0hoovRAaEoJwgdCCyVRNJSAJCKh/5+c+fDLnHPfue875cwkp2emZlgikeiO rMhHsi8kEsOwGDXID9KOwmrUIT9EOxpr8RH5ftoR+B5J5Htph2IhypD/QpuB FShP/ittJlZiB/7GdOTENVzGFHyHKvQ/QDsSP6Id+XnadEyAkf9Om4rxOIO/ MBWdkJ3ne2iHYD7+wOn47gG4jl0YiIloTP8jtGOxEXdwG3kwCS14fpR2HDaj Pvlh2jFYj5s4G789CHdxL/43L95iNwZjLtL4fyo6Ek/GV8THaPtiKzqQX6Tt h/74E7fiu7RGGsuX9NkSx/QFcRPzsfeKc3uNOXGOJ/Eyzl3f/A3BfKxaw//x ArORG9l4lgVpxPPwCI8xE7nwBq+QEr+hvS5L/x/inrcmboU+wcdYjjgZ3wTv 05H4avzWNlxAe/O91ZzPoa353mrP/8Gl2HcGnuJJHMss/ItnMU7S7/w3JzoT LwheCx+Yx6oJ1XpB8iXBa/5D4jzoQrwoeC3nNY9V08/xX3y31qgQzwqga/B3 6CyUIl8e/Ezcx4k41mkozbOS+Dp4H9VCVvO1VU0UJy6KbsTL8DOKmcfD0ZS4 pXnt9VadEaeY145qVLXbjHxT8BrW3ryLtaY90l7mMD8L2tMruBG89nVmtFa5 zc+u1qwi8SfmZ+/b4HMtgqXB56y9rGB+lrWnp4KfMdXXdnzGswbmZ6MnqhJ/ an6XdEdN4rrmd0kPHI9rprXSnaDaaWN+FlRDOzUu83frG9qr/OZ3lfZMa1fC /C7SGlY2n4PGvir43VPJPNYdpLulGvlPwe+Y5uZrrLXVGlY3H7PGqj7au4/N 7zLtYW3zOWjsa4LfBQ3JNwS/Ex7igWou+JnRXVrLvK/u1Hrma6S1WYdG5mdY Z1fv0F37ufkz3bmFzWtCtaA9eA8ajKqm "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdWGeYFcQVXeaOvYGCEMGCWHBRumBJb5ZoEjUR0aAEUVRCBykCAXZBUMiC iEoTFlfWVcSgJppQRIlrQBBpogZFRYmR2FFELDnnO+d9b7/8uHvvmzdzZ+be c+6dfc179Lu0byopKVlXr6QkoM/Hn/1yScnvMdgI9lXQ10LuhpyJz3dB74N0 gVwDOQJjV0B3hzSA3TVpbWPYv4PuCTkK9pXQPSDfgd0N+jrIwbBfgl7CA8De AP0QJMHeCP0wZH/Ym6EfgSyCXA/hgQ/E+BboP0O+gayHPAg5FOOPQT8K6ef5 vSBjIEMhwyB/sY+bIQMgN0BuhAy0vgkyyLo3ZLD1H+yjr30Ps+4PGW5Nf3+0 b84daV/0McLfc5+Mc26CXgy5xWOD7KOXz/SE/YyGtMP8tpAhScKz9IGcgbH7 oRdAyu2LezbDeFPIKNhP2scEyK22ecaJ1ozNJOuxkNusx0GWQqZApkNu91gZ 5G/2x+8q7Jf+ptkXfdzp7/8EucNj9LEcsgwy2VLms8/w3ArvM9wx+wdkFWRu Eg6nep8OuF9pyPdTPuNMyCzb3H+2NX3PsSaGO4XwTH8rve5eyLw6PuZb00el 9RzHZpjP94zXMf731fFRZT3f+1X43M9Bau3vWa+733nk+oVJvCNXyBlyh3wi r1rA/qfnN4f9NfQ6yFdJnLw6iXfkK3lLbpKj5Cp5Ry6Sk+QTeUN8k2fEIPFG DpF/5Ay5SP4Ri8Qp+UduEI/EDDFE/pG75Aa5zxrAWkBOk3/EKLlYk4TVx5Ow 28f7kQv9U5F7A1KRewNTkXuDfA7OJd/Iv6E+S4F7zEf7EE/+6jsU5ha4OtQy xnfgfiO8nnuQN+QPeTbSew/02Aj7GOv1XDPOnws4m5WKXJroNWWeRx/l/kxe lns/xpHcmZCK3JvkNbf7M9dMrvOZeJ/mdcQVOfN3zylPRW4X/PL7KRaedbr3 oI+pnju1jq9CnVjmvbjvGsjqJFwXuDTb68ghYrzUfKLfjiF+rvB+jA15Rc7N 8fzOIR4+7e/IF/Kn1vuQO+R9pfcrcHKezzmjTuwr/V2Ffc9IRR4WeEm9oM6d J/lOC/1dmXPGXP0HsjUJu69BPnR8iStyhHh8OaknEWPbkuosY/diUi/i3Jah 3JR7DTlV6DfkFPH+alJPIp5fT6qtzNUrSVgmZ/6V1A9Gew3529u+Ftvfu0n1 oRqyM6m+sFbsguxwLN+DbHdueaflvhfHVjjfbybVU+aE/P3AcZjsdcTDW0l1 k3Ft5Rwy928n1UTG+aOk2j3X+al1jlgXWB9YB95I6jHEyMdJ9bHSa1Y57/+F vOP1vPOSOj4es58q55J5/CQJr1XOz4vOBWO/MRV766uOea39Vzlv6z2/Ne61 1jF80jlg/E/E+AmQF5y3l42Bx52zIc7hNuOBed7svBE7G4wF5m2Tc8d8bvH9 WB9aukYsd84Y9y+ScFnj/LzhuK10zmY69m85L+9D/u24bPX5+tjXdueasSfm pjjeO1KxN73tPK6xL/ohll8zFj5Lwly187zLPlZ7X/KKeNzpGD7nXNY6f4zT YO/5sfflfPa5avv41H72QHb77p9772rvT/v5JJzu8ZzdjleNY7xfKA/M2V7I A9Zf2j4s1EOvcf6/da7YLxv7Hcy81YsijiKUw1NDvtY5zwdEMZ8HhfDK/nik eyRzcXgoH+yX7NPs0fVDdneP1Xf/3utz0/8+n5W9vqv9FnruISFOcJ8Gfjc0 DL0h+J6gbujxs6HP8p15t0Z+o1Mf/X/vD+7DsUZ+W3At3xyXQ5qE4tPTcWri OXxvHONxvkGbuqe29Lt0vMea2eb4aa6VXMf1/B/hWM+hD9ar40KcIH6Pd39Z a8wQY6dAn2TetvL78B5jnTZ702nm13jHlVxmbLnuZGOvhf3QZm1gTWF9aOs3 xij7P921j3WHbzjyhXWD9kKPtfbZujkuxBTXtfLZ2njOQq9t4/MP8X7kCPtA O7//S91b7/FYe5+n1D5ZhxmXDn4bj7SfUb5jC/vn9x3tZ4kxRF6y5rJPswZf jv8F54Zi0Ah2g6wcHwN9dFauLoO+I1QXusCeF+LuRcxjVh6XMrfGzVPQK/1O W8Z8mgu/xdzZoXrQlP+Dhurr8bB7hmr209DPOO9tMN7PeDgFdq9Qne4Iu3+o RnaGPTBUI7vCHhaqVVfCHhWqSYOhH3Aez8H4zaE6uha6W6gnbCEXQ/2kxhxm LR0U2oP+T4K+OAtX50Gfn4Wtm4jtrJ5wQ+isPOeF0BdkveV/E4od4zY8dFae 89JQXBiTy0L5YC5OhD45ixv0fWPIfwvY14d40yMUR8ZwJOzvZdX1oaF78o4D QvFirH4GvSpUSydA/yTLHgv7h1m1+dpQ/pi7i6GPy+p5baHbZfHzulDOmK/e xLV5fTrG+oR6Tn3Yh2bVlXLII6FafwbGpod60sTQmXiGq6DHhXrRrdA1xvC5 jFuoHi4mP0LvjhnQDxvbL0HfFnoH8E7jfUd+f4nnPAj9UKiHNMOcyaG+fgH0 wVn1sBr2r4zz86BLsmr1z2HvDdXqUoxNC/X+FaEYMT4nYHxK6M1xKuypoffE L6AbZtXJC2EfkVU/R4cwSnwugf1oqE8tgv5lCGOs3azhXaxZl1mTv4T+PNQn +L7ubC4T351cH8hDzqePQ7DPAVm9YX/olNVD6kF/HepDxMUEx41YGBPCAzF1 S/itCX1F6I3yfYzPCb0hzoR9Z+i98gSxE+rh52J8Vui9chbsu0PvmB/Bvjf0 biAvZ5qblYx/Vo3+KfT8UP+/j9gP9fKyEFaIk74hzC11PevkOPB+2XfkPj/I 2uvArN+/2B9Z25q4vjXOyhNzFFm5Z9559rOzzn91qF6wVvBcP846G+vH8x5v j7EOWX3rBci60G9XjNN3s2L1LOMa+t/+FeIl9OY4LAuLxGH3UD1iLXqTcQ39 nrQP8lXobXFkFp6IpQ3QG0NvGtbOu0L1k/w73By8BLoq9JbZwbyF3kys90e5 5q+GXJSFsW3Eb+i3us2QTaHf8F6HbA+9jXZC3gn9hlcbuhvvRUx9a1y9S7yE 3kwfQT4M/S74CeTT0JuGNXWRMf8Z9O7Q73y7IO+Ffgskn5pnceqbECfJxz3E Sqg+kLvsVeQv+fGFOdKdtRb6HK7J+kybfD02i7O/hl4Qel+wd1WEaiBrVaus ekWMt87COevH1lANYT1omVUT2APXhPjHmrQ+VJfIv4PMwfchH4TejuREpyxe /A9CxuE+ "]], Polygon[CompressedData[" 1:eJwtlXnwl2MUxb899yklYQhpin5ZsmT7KVkiS/aZ1E8IlUpZU7bs2dLQmGHG DJMxjbEVoiItJGRSKWmlfU/KkrQJKZ8z5/njzD3nfd9nvefet6pX/5p+qVKp DAEZjItK5Tkwi4c7wNvwieBveAviJvAzGIPeh1iPQXVBT3RD9CfgHNAdvR2M hA8Bf8E3J4/9FdQtc9RmbB1wUHiOJ4iDwEz4VtAV3llrwn8HN8KvBj/BfwP7 MrZ+9tq90E+Hx+hbzfEQ/AatCZ8K+sOvB7/AJ4Pz4RvDZ1mIfo/YkfmOJX6H Hk4cAVbAPwMDw3vQ2tPB/nzbIHvtQ8taNWBd8prDwmfSWbTnsfDnwa5yP9vg f4KP4fWJf4ALwY86m84Z3qP2Voe4WWuDj9D1iBforGH+Q/LYreG5NIeSWgsc iO6BfoF4FLopcSB6l3JT8tVAeQb/hPlNPOtCvBgsgm8Cu+GfK886e3n3b5jr m73EPWWs1mwfPrPOqjWugXdh/VOIw9Hjw56T13aCGfDpYDb8P/ASvK/uJTkH r8OfAduSPTE6PKfm0rMx8AnhuUaAzFqRfXZ57ADdRXaububZa8RHlIPknF0E fz/s1bHJXukIViV7ZjW8HViguYnLwHlgPjoRGzL3IaARvLfGlBwpN/L8bNAW zEHvAQfL+9l70ZgF4FwwT7kjvgk68P7osCdVi28pR8k12Y53j6G/gW9I3ms1 z44se35A9YheC/8anA6fwrMvkr/R3G8QjwmvcVX2Heru9Oxu0Jpnq9FfgnvR Z6LXwL8C16Engd0lv5/Km+Dd5D0uhS8GH8JrlbMtCXOdcbA8wnwbk3tOI/hh 2XfXuNTKO2HvqWZmwr8F1yavuT2cM+VqP+KTuu/su5gBHlV+0OuT70heOhV9 RPHUlfBLQTN08+LNZ8O1L49ehr4k24/6phv8ZeJQdCtiZ/T9xCnoltqXvM+z s8P+7Q4fCh8GbxOe6wpQVTx+OLxx9ln7oG8ltkAvg08Ep6lWsnuV9twbNEMv RU8ANfA7w73peGJP0IRni9HjwF3ok9Ar4ZPA7egT0MuVK+VY3gKD4U20d/UN MBf9gdaUN9Hj4UuSvb4SRPH8Wby/L+wFeezV8JnblDtR7peHa0MeOIN394S9 JA/N0fequeQ1F8F7hNfWGbpm9yz1qmpiU/Xa8Nl0B2vhG8K9cXRyL90R9oJ6 6izi9+Fa0xptGf9guBbkCfXSLeFeq546l7gwXHsjk3tRp+x/n/Klf5n+cepn +qetgK8J94JR6r98+1TYe/L0K8UzrUrNnQi/I3z3ysmq8Bwaqzu9RT7MzoV6 tHrT4+F/jXpUp+K5lsWD68N3oLPXDvemdWGuHjWA+HD437cFnMzYfmEvqKbV i+aBvck9abL2Gc61enwV3/cJe02efDGck+riifnhO9NdaY7jeHdb2Lvy2FT4 tFILqokOYc/Kq/Lc5dk1o/eqCdXKqPBeVTP/A81qLb8= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnf81/MWx3/q+z5fo4wUZW83m+x1zWtd3GvfaybZe2SWjJASKULDKhlJ ZTcoLZUGGihUSJk3ouz7ejqv70N/nM778x7nnPf7fc55nff318ZnXnLMxfXq 6up+1D/1xZdFXd0SUc9SV3eB6KxKXd2FouvUPkC0iegG0YGiTUXniM7U+Pmi dmofJNpMtIGopfrOg9RuJX6B6BK1zxa/WHSN2vuLNhZdJGqtvotE+0n/3tW6 usPV10a0n2gjUXuNXc060S3YJLredLnoCtGpJduMPS56QPSg6Gb1bynaQnRG yfGbRY+JenjeDZZxpehGURvraye6yt9tPc53e8k5WLS56ArRueq7VHQZ58Je RbfaPmTfKbrJejt7D4zfbh3o/FvJOR1F3b2mk+gOj3MGd3ldB1HzknPvFXVx 322ibpZRW3+z9d1v3ch42DruEz1izvjQkvJ6WVZb29fB+2jrM71bdI/Prou/ e1g238MlZ5hoa9Gjls14K333FO8n6mNbsaO399HNtnSyrff4jDiDJyq5Ftum ikaJ3hA9ZVns6RnvB53Pi/qLnjT19rwX/P2Ux3t5bIDX4ReDbSM6n3UfPjXE fax72jrRN0jU12tetGzGR9oOdL5s+9Cznc5hIOctesV96BkteslzX7e+5933 tNcPFz1nnaMsG52v2W7WjPA438MqqYs125S08zmf3YuWPcY6sWWC16BnkmUh +w2tHSXaQfSmbWfeSH2PE5/O3JL940VveR37mGZ97G+y+zibt92H/onWib4Z lZSJnI9838j42Jx173sNNr5nuyf6Dgf4rGZV0lbGXpdtr4m2F820bMY+sAzs HauxMaIdRVNsI2f8YSW/sWO257KPOeaMEQPEDP46WuvfFZ8v+qSSbc5noW3F 9i+sG3nfieZ5/ue2m3nfLydjQSXtZuxLr0N/C+maK/4/0Vfuw97FlexH7iLr RN83PlPOcollfyr6XfS1x38UfWady2wTti91H99gBHmd/P6bdbP+B8tj/c/W zV530fxvxf8Q/eo9sOYXj/P9k/UssqwPbeudJfdXJ35Pyb2tIP5ASX1F/KGS dod4n5J2ryh+f8l9VsS7lzzT+uK9Su6nKv50yf2vKv5ESfsaiD9Zcm8NxR8r uZ+VxR8paetK4reLjhLtKtpNtJpoTdFg0SBRM9Haokbuf1Y0QNSEXFvy7uuJ 3yXqLFpDNEc0WzRZ1NTrGovWFa1leeAvGNvSZz3D/gHmgslgc0e19xDtLlrP 65oac8F2MB7MApPBZnI3OZ1c/Xdj72WVxGrwH4yEwAKwbcOSuAf+gY1tPQYm goFg4QGuFxg/rSROX1vJOoJ6ATy93PLA5v1cF9DHWDvLBQPBAeILnATfOnoN +AbOtTTG32QfnO5zAcvbWwZ1CLUGNUcb97Wz/luXk9XJOg527VCrB9B/m/fZ wWvauo9vsIJcTg46yDVCG88DH8G1rUrid1fvAdy71zrBv+7WA/7V8srdvp87 PV5bA3b18viDvj+wd6ix9i7fZw3/77cO1vfx+lod8LD7wK8nLetx7wlZYF8/ 77PLcrIZr+H8o5Z1Vkm872v7+ns9Op62jltsUyevecZj3ZezpbdtYX3fkvli FfFtS+LZQJ/ncT5T5oGZQ6wDjAMjwULwaITtGFL5Cy9f91g/9w2yHS95PXgJ Ng2zjS97bJDlDbeNL1j3QM8d6u+Ry+kAOyZZLpg4yvLAwBr+j/YY+Y88+JX1 sG6i9YyyXHSAY+OtY7J1DPfcGp5P8DwwcIQxGx99xfqRNcXrkT3V38wjhqZb x0x/Iw+MAo+oC0Ya87AdfJ5mfbO8BnkfeU817JxtHR/6m/2BUTVsf986atjP evAZfJ3nuWDHIttEHvzUOsGoBT7HadY/3eM1TIbPt30LvB59C70e+760DnR/ 4/uY4zthbCfXC3Nt7yKvf8vrsXHnkjgN/q3tXEwuRzd49J1tWeJv7ADLwLZ5 Hl9sneDRr97HD17zpft+sX5w6ifb/Yu/2Q+YWMPwpdax0HOXeW+/WwcYt6Jx FHxsaCwEs1YwBoOt9Y2p4HKdcRq8BufZLxhdMQaDuWGcJpZXNqaCuas4tsHu qrEZTAfb2SdY3MDYfJQxbXXHP3mAGJ1srFzN+NnZuLmmcY+z39M4DR6fItq3 JI418jj4uo/7wLVBvi/W713yfQvuruU7XKcknje1rneMm+AXtLFx833nJ3I2 WLhp+ettubnxhe/NjBcni59o/Gb9JsZQ5oFH15hv6fbRJfMgmDLX/sJdzFLf TFEH0SEl35lgznH+xqbjRYc6n/7LuXWg/esB3x0yd3TcnVDyjd7Cd8BdULdM Kvk+ILZ2t+30TyhZd4+zT7Swn5wkfqTv45iSccJ4I/dxb/8uGWPof098Ssla 6z8l1+/pPf2jJO6/KH6275B72M93saHvmnqldUl86uuzP9jnz93uVbKm4rwP 8Jm/JH6rz4v7Och3xB0e6Hvknvf3Xf2zZL1LDDT3uo7200OtdzfvHV9lX0f5 LA/3ntkvMo4of53Z4e4/zPfEHe1hP1nD93a875GzPMF3hJ5jresInzUy9/QZ Ysu79t1TfZZn+jzpp26jDuSb+or6iDfsYbbhdM+hrptuGdRlM0p+n2F5LS1z nP2R+mCc7+KhSp4LfeDwf0vGAPub4bXI5/xa+wz38V1zt+ScTj7zc0vWx9TB cL6J2fNL1se8W870GHdNPXxxyZqY9wxzGKePMepF3jsXem1rr6F+PstjtXXn Wy/1NLUmcy8t2abOxh+vLukv1MfU32ebX+45cL6pofG1G0v6KTIutT3kpiss 48qSbXwbH7y2pP/+aa/3hS9fX9JnmXul5VPnX1UyVjhTahpyKX7dtqS/jy95 39Qat/nuHvJd0e7pnHxHybjH34kX4rJLybcN/kkuYj2/C3V2fxOP8Y3/N3a7 ie+Te10eV/Dbly13Dcu42/N5391X8j3VtSQmgVXfGbcWG6e6WiY+dYv9qjaG nm4l59cz72Y5S4x54B0546aSObhHyf6Kx7pb5322qb7He7jNW5K3I7j7YMkc C84RN9NtD23ikdwFJw6JwdPcrs2d4fkt3T7DZzzLdwPN9B3NdD/nP8z9W3sN sohZ8ut7vgswdI7bnf1Nm7cFeHav75355OQpng8O71kVRcbrXmrvHZkvmnst OLWH+neLzDfgBnUk2AFRT1KvTSuJH3xTE1BDUD88WrJGWcmcb+oV6onHfLb8 lk0NUas5aINpv4qfFpkrepeUWfXcnr4Lah1qDuqNp0q2G5rz3cD3+Lht6Fey pqnVMX1tC/U2vz29Wsm5rFnZc/u5Tf3T32v7+7tW6zxheRvZH/AB9saeqc04 yw98nsPcHmq/q2c/XMBe/f2Z2p9H+uYX4l9F+uVc8fmRvg6Ov+U7Ge1v7gT+ NnZUcnyS29zPxJIYP08yfi8ZL3PU/q04ftVeIVwLiv/ovzXMFv8wMiaJA+KB Od+qb3Hk98/i9SPv8QfxepF39KV4XWRM/ST+S+R9TrEP1n6Lod14OR+l/82S eY174U0x1nsZ4X5yHXsd434wCqxqZT+dZp/s4H7y4T7y5wMjMXaMz6r2VoHP tz+zfmwl+Rtu4ydTS+qfYPn0z7HNq9uuqbZ5pOdRU010e6xtnmS9O9oO9I/3 nrfzecz2mYyWvWMjcwZxwPlxzg+XrMWJqRM03iKy/n1AvHskfjQXPyOy/mgs /lpkPt1W57C4ZD26jfo+iMzR24lvqrHn1L5O7TaR2LyD+Bbqf17tbsyNxMCF ooaRPv+p2ndF4uPJ4ns5n3wiuiMSE3/gbsPnI76rc8sE8QN8L9+LVo28r62k 87DI+ugz0b2RmNiKGCmJjTeqfX0krncRvzMSgzuKd4isEb6P9Fd89dPIWCKO qpJfv5q5qYH4itXMAd9Exh5x93FkDOD/iyLj808M09zfI+/ht0j/5m5mib8b iY2vizeJxNkFoh6RNcDp4gdH1qFnie8cWfveKt4+si7YSPLXEz2j9mXqaxRZ /66rvrWrmeOOVN8ukeewlvoaVTM/rSHesJr5aynfkTHSx35DLv0Rn430yblq XxtZF42rxVgl88Vr9uGpbr/q9njHAn7zSkl8hwbYb/GVF0TriwaW/F21iTn+ 1cxzn3UbH6VuoGYA98iVYCL7533Lb7+8fWmT+5d5P0udV/mbVlePs6ah15Nr +X3rA8tkDvpftV76ydHMa2qbmnlPA20z34M8vrPO9aeS9fubxEXkO+BY8eMi 6/iPRcdH1rTria8TGdcbiq8fea7bS86Skm+CFmovK/mO2kTjG0Xm9t3Vv5Pj +nLycMn3zyFqbxWZL9nHENu4nu3kzAf7Dtb3+ODl9jHY/fwtd//Id8s8UbvI +nkV8Q2reea8Q3lfUTPOF90SWa+OEV87sj4BTz6KxJQVxVevJlYGmFBN/D0x Mgbw//PUbhD5vsd/W9mHiYOTHAtV8VWqib9Xqn1V5FviEvHxkfl+JeKrmlgM dn1t/AJzFhp3wNVPIrEVXPrO2FQR/zUyFgq2VzOXXsgZRL6ZziF2I9867HV3 77dpNXWjd31sjPQ34nUDx+yq1dwD9pNjivMMsdvM8Uu8NnbMrlnNs+PcwOSZ kbi8KWcTiRX4zj72H/B2aSQW4C/72mc+KplTOMNXxF+O/Hs4/nVKpI9h7zrV tHmbavoufkue2Ni5gjx0s3MR+bWtc+wNkfmCXHFfZF4mJw9Ve1hkzX11ZAzg /2DINZE4clOkn+FjYEjXSBy5LdK38Cuw6/5I/Boo/mzk/2sgl9/ufN4pElfA lHsisQfcIfd3jsz/lWreK3f6jPiAyPfV8+JDIv9PxJqRuZW8CuY0jcSdo8WP ivzNBrxaNzLvkS83cM4kLq9wbPYVfzzy/008Kv5Y5BvyCfH+ke+9F8Vfinwr PiX+ZOT/3RgkPjjyLXe++MORb4je4r0i/59Fn0isBWcfUrtn5JuQHL+a8zz4 SX0Dhr6j9tuRf18CY6njwdk9Iuv+P2v+yLofjKZ2INewFzCtrpo4MS4SjzmT yWq/Ffn3tGaR+YvcdWgkToPRU9WeFvnOXCuyzqDGmB5Z01PPtySGqvm7xkFq T4zEwS0j8ym5tLV482rG3Qi1h0f+PxFy3qTIvLd5ZC4mD2+CLZH5eqVq5h1y Djg8IxKLR4m/EfnufR8bIt+om2v+9pE5Evxf2TXAH5E5gvywWWSOJnb+D9aP 6ps= "]], Polygon[CompressedData[" 1:eJwtlnmwl1MYx3/ld56ftKE0LVS3bt2SltugspYW7XEVUUKj5Fa3pJSlaBll EDGEVJIkKVq0EBGR69oa+5CxjFBRqBCTz3e+vz++836ec95zznue8zzPeQuG jyspq5zJZBahLFoWmcwKdEvKZJqgZ+A9PC9IbvsdDaBtAM95DFgK/wJ3QVPQ ldidUW/4UvQ+vBPdBXdET8BPhd8tQOvhTegOuBnaDL+CZsDN0RVwJ9QTHoSW h79R33Zz8tpPh1nfsCE8p+a6HT0Pr0PT4EL0PfwDehCujJ6FV6Pb4KaoZS6T 6YbdV2uj/WgM9lVaj/1uhH+Fuyd/8yrsvTy7Js+xJrym1pqKKuB/ePZHs1Er 5u9JWz94cPLYF8Lvao4e8IXoTLgmqgu/ge6EH2P9A/B+lMV+FF0E10OtxehT +DN0N5xB+9CLYV90Q4/DP/PsjG5Ca8PvqE8+mo/9CJoIj2e9jnAbvnmLvh2V YY9F18DD0Rb4N55FyWf2gHyLJsDjGD8aLkXDkn04W3tBY+grw54Jz5Kd3Ka5 a6OZyWv0h+ugU5NjbhR8PRoKN1IMwvejsqzXnKNYC889lrZ75Iswj6dtG7wV tYBnoe3wm+G9ycefw6eh++B7Fe/wH2FfJ7XBc8Nzac2v4a/Cvp6nGFHuoFFw Kf2vhmNIsaM9TcGerD1k/Y5yayX2rfkcey4ck4pFte3WuWNP4nm+zhxeGD67 xuhcuB3nsxVuq5zBfgf1gc/QGLg9/dvhYnQedjH2NrgdOqL4RAEvRIfhv9CC 5LZ9inc0Pznmihg7EXuk4gqdBL+GeiT79F34vXCsK4anKrfCvijFPgQfDPtS azwMPxSOFcXcNMVq+N3RtM2Ap4dZMbIg7APtXT6pyffUQMfBy9B39H2LKiXn +J/JNUS1QznSgXebhPdegerDQ1AvuI2+mf5GYV+Wo7+Ta5pq2emKecV+OHcv l495/+Tw2B1oJNwSXQYPkU/CbWLVk7fht8K5fC12d/i6cJ9qjnJNNVa1VTnX IZxzyjX5eDG8CN2QdU7p7A/y3Jx1DJyl2EQjkmvmETQiP38nNEy1LF/fjmYd C4eUB1nHxMvhGqzaO10xQH8OLYGroKpwNbQ02efHwyfk7PuqyhE4i45NHnMj c9VCDeFzNIa+KjnPpTkqwZXR4uQxteFaOc+1XDkON0Yr4RqoIXwKqp7cVgi3 Y/518BrFI3adnMdWQ/XgujnziuRcOMxzZ9Y5UYDdRjUbXoUO6FyxBybXnPr0 N8h5rNZU7X8p7Jvu+Xdb0L8hecwgxUp4r8rx5vQVY69P/sZJ4Rqm2qUc2gvv Qcck59iT4TtSd+Nk7QHepbxNrnk/qX4rZ5LH6G75AHtO8h0zWLEXrt0a0zAc 0+X5M24Qjtkd+ZjRXbAkvJbuhF3wN+FaphwaqloUrh3t0cVwYeRZ/gvnVEXe pyXYzcK5UqIzD99RupuUY5/AH4djT3fUbvjH8F2sPSl2x4VzQzHcNnzGOtu1 6ETsCejs5JjqAzehfzW8CWXgo7TlkmOqr74n57Gb0dXYvdHG5BxtmvM76lMM 9FL9p+2S5Dv6y/Aamlt3QtfwHrU31diB4Ttbd7XGfBj+59G/js7ko3AOKvf0 D1Qdu1+4liuHW4XvHN01c1E5XBSu3crRf+H/wrVZe2odjlnFqvbcJXwmOgv9 c2lvX4Tn0h4Vm6+H7zrF6P9PUykf "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0jdSlgEQBuDvRykoLCwoLCgoKCwoKCg8gT1H4AB6D4acRUBFAQUBySBR yUEkqQQFJUlSchBEeByKZ97dand2NjrxYcKDUBAESdzjfx1OBLe4TSR3iCKa GO4SSxzx/OOMc/5wwV8yeMd7OrlhQJrMpJ2b+g5ZxQnVnJJON5fB9VLH4jWH VHJEGwdUsMcr9nnLLi/5TTk7tPKLMrYoZZsWNnnBOs/ZoJmflLDKM9ZoYoWn LPGEZRr5QTGLFPGdBhYo5CuP+UY98xQwyyPmqGOGfD6Txxdq+UQuU+QwzRu6 yKaGLMLcLESqeoJJxhjnIymMMMogwwyRTD8D9NBHLx+4H1z/yBXuj13+ "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{262, 261, 265, 499, 490, 491, 489, 493, 492, 424, 495, 496, 494, 498, 497, 425, 501, 502, 500, 504, 503, 426, 470, 591, 463, 488, 449, 486, 448, 487, 423, 264, 263, 262}], Line[CompressedData[" 1:eJwl0kk31XEcx/H/FZEhUpmHkAYhmWf3dt1LoUXPIMe6nkjPBckQ1dLMwrDA zjkehfH1Oxav8/6fz+K7+f3rpn98/R6LougnrT5q+MZ/xjKiaJxR0qT4Z/+o SUZIEOevfUiH6WeQAdbsvdpHFz10s2rv0E7aaOcDf+yt+p53tNDMiv2tNvGK N7xm2f5SG6mjgXqW7LX6gipqqGbRXqGVlFJOGb/tz7WEYp7xlAV7kT6hgEIe 88uep/nkkMsj5u0PNZsHZJHJnP2GWy655opZTjjlgAvWOWeDMw6JubEZHkq3 NEOP9LNu6yfd0Qk91ind1Und0y+6rzOMECcR3pIko6RIh3dnPNwM98PNcCfc DHcYjt3/K3fVzDQf "]], Line[{472, 453, 464, 452, 597, 596, 428, 506, 451, 505, 450, 594, 595, 483, 593, 592, 447, 427, 471, 429, 478, 479, 477, 481, 480, 430, 476, 484, 465, 472}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWwlVUYgOGfAyIhndKdSimNdEofuhsFkW6Q7pKUBmVG6ZihZkBA4Iru lEaw6G591nDxnHd938WZ2Wvt2dk79ortGSeKokz+lIobRU1joqhOvCg64HyQ HeykGWXZwmTWsoYqPOEpD3nMIypznwfc4R53qcQ//Muf/M1fVOQWt7nBH9yk Ate4zmWucoXy/M4lznORC3zBKU5znJOcoBxHOMoh2nCYthxjCmdpxxnac45p ZHIfHTSjdtTMOl2zaWfNql00u87UvPqV5tGvNZ/O0gLaTfNrdy2oc/RT/VY/ 0Z5aSOdqce2tn2sfLaHztZT21ZLaT0vrovA+OlDL6KDwmXVJuCsdFu5Gh4c7 1WXhLXRUuHsdHd5Mf9SqOj68rU7Q/VRznqRb2cZ2NlHf/ietpyu0ga7WiTR3 bqIbGcfy8D2ya6ytGUMr81gdydLw/TM3Cnu+o6V5hA5lMU3MsWHPYFqYh+gA NrAgvKndQl1FfxqbG+p65oW3N/+g+9jLZ+ZiNAj/j14UNhelCD3Ms2nkXF9X 8gvfEGtXT9dR1zkXuclBV7ucOiN8Xv1ef2MPnchiV1d3s4tfecPrcN/h/viZ qWwO78JzXvCMV7ykOu/4j7fE8X8jajjH1XjEEJ8PqGmfQBPyIYlJRC37JJqU j0hOMr60T6mpSEEaUlPbPp2mJy0Z+Jg69l38jrShNa1oSQua0yzm/W/N/6oE iQQ= "]], Line[{718, 680, 946, 945, 953, 931, 952, 932, 1105, 967, 968, 965, 966, 964, 1120, 1119, 854, 1097, 1098, 1094, 1096, 1095, 1099, 802, 718}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0DlOAkAYhuHfBKSh0hNY2YuFieEINCYurYiKjQZR3GVzXxAElYtwHPfl HD4JxZM3+WaamYn81tzmSETkyCcilplNRryyPRoxRolxykwxk4rI6ALzvLu7 p/tUOOSAD/uxnnBElVM+7XVtUOOMJl/2C73knGuu+Lbf6h03tLjnx97WDg90 eeTX/qTP9Ojzwp99UZeYpsCbLa0bFNllh0lvHDjLUvQn66yxSoGVxPC//gFq iimg "]], Line[CompressedData[" 1:eJwl1Ed0VkUYBuAbCCUg1YQSEiBABEF6DRCkSxEpuqEXj3AOfcmSJUu2SG+i SO8gnSC9KUVpAektNKUTeb7D4vnfmW/u3Lll7p8zbtqQqSlJkuT5mZmaJDNo WCpJHrOzdJLsYju/sYMi9a1yG5vYwmYeqW+QG1nLetbxUH21XMNKVvErD9R/ lr+wnBX8xH31pXIZi1jCYu6pz5PzmcNcfuSO+veyLQOowF21BXIhE5nEZJ6o 75bpTGEq7ckrkyTt5F4y2MN+9tHI2FD51Nym2tW0v2Egz9SaqXXQrk4BBzlA DSry3DG/y0NMYzodg3l5chj/Oqa5fk3tQXSmk34nOZxMsuIe1WrJSvxnTgv9 fO1s6tBOv7aszAvjLfW7aNelXtyrfo6swkvjrfS/1K7PCF6ptVZroD2YbnEt +l3lSF4bb6Ofqz2EHuTrd5dH+IzDNOQoPfnc+A/yrbln5B+c5DSneKN+XJ7g GI35it58x7d84Rx9Y0z2kU3kWDmOoeZ3pCrVyKQWWWSzKZ5DXJs5LWQD2Vzm yq/j3mUzmSObxnOS/eXFWJe/Yj3+ph9j4p4YH3uDCfRiNKN4Z72z8hx/coHz vFe/LK9wiUKuUqx+Xf7DNW5yg//Vb8s73OIed0l4wEPuU8QjUngS+5THse9i f1Ii9krsh9hn8Y7j3VMynn28l3ivcX1x7aTG2rGO51Ac82UKpWIskpKUoXRQ T5PlKMsnlI9x9YqyEhWoQuU4Rv1TmU7V+J7IIE29RnwDVI99TmacN/Z37Guy qEudWCPO7xkV+78qopAzFLCN1SxlDrOZlfrx/+0DBZebFQ== "]]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlgk0lV8XxlGGDMmQ6Z8iokhUZvE08SWzKKSkNJEUyVTdUBpkyBQiGTJk yFwRJSRSERIaDNd4733fq/CPyPd+317rrLN+6+x19ll7nb2eR/6ol+1xLg4O jlZq/W+3lp0y/9NF4uk9RRXnqBmkqOe6TY+SmFUTmxmmT0P+Bq+K7RwJuSdR j3+pTOO30rc/X5eysdz89As/2hR0lK+RigJsCHWGKrb2/8KTz7k9y1ew4bGn ccNti1/ITzcQzRVjIymah36l4ScCq6KqP65kg17m/K+YzU/cPGRlPCfBRm2c argXfRI5hMkxDUk2lLriJhYuT6KU1A4JpM5/7nO12yY7iUytLa394mz8rstJ qaxjo+2x/0YPUTZGBlYpcHuwcVTuEE2Jqt8Xuvpsqzob9dkOkv5CbGzx2eMR yCLxXuVm5lF+NnLOzDf70kjE1e1rHONh46S797j9ShJnrflFhJawoR75znO8 iMCiVf1vFy42DHM28xs/ICDDNNtdzMnGQRw1fB5BQNAuYmaBg42HcqGdxpcJ 6O/2EDWlWDzxeurEGQJPik27tSnmfHhTx9SDwL7Y6HhFioOCyOW5pwlY5G23 EKV47+1CBd5TBOqlfJSXUVzbcqRG+yQBjv8HGyf+HwQq3nrksBZJ/JId5084 Tr1vyx2zPorTMmtqG90ovqcdUUlxSTSP8bpjBOT6yuvuUqw2c5PvuiuBgYt8 42coHoDusmEXAtOLLmmzCySc7TRVSq0IBEt76ATPU32Qpc8lgICK6WDlkj8k /Ix2mcWqE7BOpCkEz5LYuS6bkb2GgE2hI68FSUIv5trCumoWagQvsczpJN7d qubUcWJBqr38QdgXEjk7Tk8XzjOxJ33+zeI7EmcqqptcM5jg2PlsuqaWRIPI LeWNZkxIW0vMHMsjYZqwUkDoPQM+f/mvXIkhwZF46oiWPQODCpz71wSScJuL 22Q0NIFiYff6A0dIPLFbOt58cQLtcRURusYkvie4mYQKT+CO7xznp/XUfdnb nVYVjmOS00ZqxyIBD/Zwab7qOHhOTppd7iAwf6Z1l1/pGNbv/mBe9IiA29M3 rKHtY2hTs9Se8yXwqCNh8sTnUWQrzN2/vpuAg7p6U6j3KPw+Rsb7iBAQZ5qZ tIiPouDovpbhryxoJgSs7HoxgtF2rgfVESwc1mB6LBiPYPCciLLANhaWCbSV lPQMI+5PbbPaGBN6J5xui/oNY/SBj45fDBOtL8PND8oOo5pze56WAROHIywH vr2jgyfplVTpIAOHt712XQymY0NDoZ/GLQY25SVaaIGOa5fGJtslGDgaV5ov MDWEeKlDEZWZEzgdqSgUVzoEiaQLz/ZoTIB7U+FV3sAhKKbsPDz2YhwSrySX VZgOIbU+PpxhOg7PRafNf+WG4B8htCKtewzLmyYM7RYHEXK5RuY/J6i+mD7p 0aIPIio5/vfdzlFs+jF3b6Z5EKcmj621NR5Fc3lrxj/PB6F/B3Ijz0awRkhk pK14ENdUuPjvq4+gQqw7155iZUaAQ1HeMG6bWNvNVg7COXNTopXyMPQTFb5K NQziZJbvQnouHXvNWnNXdQ/C8DC+K/LRkd50cFz89yA0hz2n954dQkvw5Sxx +SHUm07r/NM3iOx9D8/y2Axh95yW9i3LQfyjuiNsNGwIq3lrPvi/HcD9bYIC b+qGsHVY0b1uzwCwhWviJQcdJW9LmzU+9kN8jaol1y46OiXnK8L1+mF8R+iQ eCodljavXvc5/QB7KT2CPksH/9X8uOt23/HLqcBazGEY79doMemHv2G2ycbX s3IYU2dftLf4f0V+ig8PU2wEobu99gqn9+FAzTe3Mq8RFBn0lcV/7oVU9YVI keYRjPUUtVhJ9UJcSTE2aM0ozFszu3y0e7AvPJLb/+YoznwS1+x2+4I2ibAa GmMUq11t+9+kd2Mfh1yW5Z4x6M06atQwPsNbT0G858EY+vUP3nbZ8RlN9gEl RuQY5l0ijYPSu/BlVDysVm8c7p9MVnMJdCGgLKO+4Mo43ormhvJc7oSzc4W9 e+044l9flLyypBMBNdD69Iti3dvPiqI6cLx9HA/XTaDNNkFDTr4DG6craWvs JuC34X3cyaefoDhVM3qPRv27AumidbafoFZrY2WROwHlvbXh3JPtoJsEfb7y YQLS6XKojm2Hu/CJlBM/J/BAqbWGS78dAlOLpXriDHTxN408GGpD9piS4XpN BkK+xOU4RLfBNhqPD9ky4DnTaTCp3AbVXlejID8GtBZqLUxufgS7WFhaJ5mB 48/Oxqo1f0CAGy24o4oBbWnZ1HmRDzj/oTXjVg8DU/cPeK8/+h6hM79ab89Q c6XN66H5vBVC3ZIxnKJMdEzvET8l0goLasYmNjJx1+VADf+5d9BS3enhb8LE Ja+rS552tkC58khcy2EmXH8slK1AC0ZO7zT/48tExIup3PqiZpQlreyQv8PE Ve/qjhCFZgy2GqTYpjNBkx0J+e7/FrximzyWVzNx011pxcWuJvCVhA74dzAR E2SY0KbbhA0Hk72LJphI6q44cDXjDYoyov80cbAgkp50RF70DbaanT7St5IF 3y5/F4cbjZBXD1k6v4EFO02/vHbORpiuZ6kbGLKgtUr62PbgBoSrNLnkWrFg SjNuOsTdAPOXn67buLJwwNQrbCyiHteF/hrt8mbBLfSVfpZMPXQLAxdvhrDw Zq6b5ZD/Gt4xg9pqMSwYPRc7ELXxNRybIujjmSz8Gbmb8KK0DvPt2rv7y1nQ 2H8t855hHfZ3GDjINrLgtNZR9VvrK+y3zJ8u6GTh91wel9WRV7B8pj+SNMTC rPnm7Rf7X8JzIz3g108Wbnyalx7kewkP9wXjXE4CUjRhi1N6tRg4FXDhtTCl h2V22YnnaxDJzbI1kyVQt0t4vUDJC2zVYbibqRBYWlmWWRVfjcPXneUcDQlI C25SpN2qgqzS70RLSu96ohcMdMKfw3GbU//OIwQq6w6VfU96BkvDMte956h8 RY+w2+VPkWs3esCPRuV7+/cc763EhwMLO3op/Y+RPxjIvFoJnyfrDtbEEuh6 tGTWZEMlDGh3n9CSCAjfSeA+1VGB7GsLe9amEWDuqO3cSauAV9K3VdlZBPZn 8Um+21gBZvoSCcHHBJpsBHf7viqHvMuFv3IlBL4o58v8u78cus0vY5c8o3SL EHXSZpfBbLK8qaKWwFZFGX6ZO2WovDLlrddIoEA5rNf4nzJoKKrLRLZSeu5+ bkl1YSnsrUI351E61/5vEBx2lUJTIF0popcAz8YfvH/7SpCkEb172wCBTDnl gAX9EjA4dOkPGQRkzzMfKacXo3Bu6tKtaQIZ+YFTwsuL0bZevGPhLwFf99kl WVxPEBC+X5Kbj8SGXLbF2ulCLDSO/3i0gkRypbzkon0h1MxWb31B+ausmIUQ dlUBTO2jG5/IkGieu+rcoVCABl697uA1JILECpeGRefDS2JZ3FZFEkPVD7qK JPJRf+VziTil4yd2ZPqfTnsMz07Hlf2qJIRs+r5lqjxGubm5S4I6Cdb3Yynm z/KQq9y9QXcrVS8/9qtQQS54Qo5WVBmQMGgKDh8ryAFv74D5x11UvZ+6ZwSr ssEzzbPishkJ/8W0C88/PYIRqzG6xZZEbIJdk9FMFqzV/HtqHEmYmaxaxbia hfD1gjleh0iUT5YtS16ehbCv1Zf4XEnEqyo1bknLhGnoc61bbiQkLipHpm7J BPcXzbSfJ0nsy8jb0jCcgXPD5085u5PwtXgZYp2cAcf61MdVZyjfNlB8St86 A9GxGflCXiT4TrsLBPJmQGyUVmR/nsS//h0R0ybpuDRR3HbIj0TgjtjNWVEP MZ0+dFLmMtXvnFTuubo0FHSv5YwOIUF/FZ7O6fsA18Su976+QWKysnOnj04q UtmhHZV3SBQOLdg2d6agd3ggZHsk5fsTs7ff80lBReMvrYYoEqKRqdafxVLA kmYJ7rxLouBvEUmruA+JgIS1VZQv479V6uS4/z6WrfjoqBVHIqb4t2v672Tw c25+9TiexGpEedqkJMNjndV5mXskXGx9BI7tSEasxs8b1xJJ1JRF9lnkJaHP SGRkIJnEQd0RJ0/bJMxsVEswSCGxcq+Ctb9yEhq+bgsaoTg71s2ncz4R7K8P JaNTSfwXUSVzbA== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlgk01Vsbxg0ZS6kUFaIiNBqia+gpJQpJUipuiUIqUYbrklKqj1IomWXM lJkUGowp80nqmIcjzvD/m88hw3e+711rr71+61l7rWe9797r2fIXXU5c4uPh 4Wnjrv/tK0TjNKcH2MjSathm/XQawktHbonR2BB6FmD45PY05OLc3naNseHi speVnzsFfXcxp/w5Nr7UXklXH5tEVsaUVqQAB1vC8y4H7ptEppO7a/wyDja9 /Djt+HIChL9XwqmVHMwprne9uHQCKl2zIskSHOibH0kbfjCO03uKbjxby4Hl FaFBG5FxPJZ96LZFkgOixH1+T+gYUk4yHzhy9d3MM3MTcmMQ29DOd4l73i7F XFCpaBSfzpnnaa7iwDmtIXPCeRRVQSJGzis4ELQkw5UURhG1yTdegOun2VRZ yfwziVuvz/xHWJiD4DMCYjm6JHRMm5s9+Dkobfh9RbOMwNrzWvoFfBxklacd eJxGQJzsVGHycuDkjNjZ5wQOSlx9Is/lRO0nx+/eJfBl++OrFjxc/rRhl9x1 AttzjeP2cdlb9r296lUCTtslapW5nEV/365/hcAHs6EhCS7Ljax6dNKRwHRv yC1RLkeYhrnYOBDg+X9xcPn/RaDPJi1gapGNQ2oXbFwuEdDctFqEweUvbpl2 XvYELJ5fW/qDy3d9+oIDLxJ4srt1yWcuKy0cZ8dcIGCacmAqk8tWNURMzt8E SmXuXWtfYMN1Zc5uT2MCYu9GHRfn2dg6Hep9ai+BgPO76Ju5PCvbYGaqQMB7 jDZxiDvvvCpKwLlVBBJP5a4hp9i4U0IZ/x7KwjITJ9YMwb0fr4/nnpdkoe85 pdrxNxsPZhV31Mcz0ekW37+vh41Ne28yWduY8E5wuOP3g42z576aR5cykHqH 1an1hQ1rn6FGTykGThH2Y29K2Jisu18a5kMHWyvwAfM1G6bFfU63f48AiU/1 F16wYdIfsbHFagR3j0ens/zZOKCmO7CjeRhJMuky1dfZMP6j/2Sf6TC0Flbu nD/OhjSxbkH41W9MSv+KPazKRmLxFnX/uSHkLDEUK1vBxq6/bFXnbYewcyQ0 3JM5DQGnd7e7m2h4lp71NbR2GrGr9vVEGtCgsVc4WzFhGrIBCZdzKwaRJW5Z ZPzPNARLma3ZhwdxZceez8Z607gVQp/PixuA1x6rdVULU2iSafFS5R+ApKK5 Oqd8CqwU0UzVm/04ePtSk9K/U/jjE3KWwuqDssteRpjmFHbc6/Azc+vDGrLn 7a3RScw1tVEnFnsh2/EsjD99Er7rO+Xkwnuxw9t5oN90EuVOpQfjpXthOTGx +vLYBGZExgtMbHrg8UHhn5GwCfjZyhSnhHfj2+Mjzyv2TECbP2+maKALNZeP 6exvHwcxHZ8ncbALNEpfXYbXOJ4vRBy5XdAJd4+3Zw+tHwd9eXZ5k3onaJvs ty5PGMPxna0ManIHzp6a3DavNAblSO3L5ds7kDMjVu2ePwoLWtFiaR0V0hV5 Xo16oxCUMpI086aCokIRTwwnESxVeXaDHhX6Fvv4PIsJSHkffs4Qp+LDkRuP /DtYeFdVa5w5+QsrcsQe6FYy8VNRjkdx6BdqkgNllIsY2NwkScshf+F4t9nB rDw6ZBmGJg9XUGHXSL7kezcCakSFi9QhKhzms7QNvw2jclCYOh5ERdyJhgWv 4d+QP2t57BONiv5HzaJ+4r8RMukvqHe8A+EbVrNvsWnw6/likDLXARqtM1x2 fBAeqXkSHpWd4P39My9jcQA7xVMPBSd0IfkK5YbyxgF8npIXrgrrRtu8TV24 WT9qaxd29YT3wP3h27n+p33wzbDkbbDoxWlpE++Z7l4YF1URFn29+FHZ5FCj 0wsjs0b9C9x59922E/U42gN79Qjb0wL9YFwIU03U6EZFVvrZ3Ih+rArl91Ve 1oUDsmCk6g9gnXzew4j5DsQulfypMjKAdufkDG3BDrxVV571DRzEnWvug6Gb qUhr+qOroUBDgXRLobXFL3BiRJmaJTRIKKlZB4X9RIfzwp5K/SGsNC/sMexv x342/aV91RDOT1C3E3rteCBerMHU/Y0yO9rhmsc/MLSq1YhT/htK4jyft420 gZfmdFtWfRitx6OX2Zm3If7xB16+WG7fRf+SGK38Dvbw4oDL3DAkhYYUgvEd Ly7T/E1OjEAv6rGbUiUF/8quKbwfPwL7tM2gmFLge2V3Kh+N+96lbCnV3a04 d69aMnUzHe8ZMYqW7q2oaI44DWs6yLh/DpDirSg+Uez9+CkdP9f0HJbMa0EY PUF77wc6XK2aVl+0bIHQWjYPdZiObvEA+5vzzRDOJsqmVzBQ5E+99ietGTOT NzT4NBhwcc79M3eiGSKpR4YPn2bgLxcXXhOeZmzbMUMf9WRA18FI4KRtE+I8 GpecDmdA5ESuw6faRhjvaK2uyGcgds13dx/1RsQ+Krvq1sDAG4dMc7XkBrin GcdGDTHQ+jvY4MW6Bkj5RPY4LDDgKnqVI/SoHrVXEkQH1zIx+O0MzebPN1AE ZpSkdzKhLubsbHbzGx7l01zVDjExTamMjSa/wkJn78eDZ5jY4Pj9pNCNr2AR sfccrzERdbPG0XqyDlZZYy+K7jDR7N0ztut+HVTpvfmioUwIhqhck5asA7tx vPFjIhPbKZ60hawvYPLXL/bkM1GTMlZabPAFGkZbxdwrmNBu+nFVoa8WAryD KQ9bmHA8dNd6p18tFORDgzb2MmGQtWW6fKYG9oN+Wt0TTEir8tyf9qrBlThp 3zpBFpzEzJQi5qrhHuB6flSKhZvDBoMO96sRVFW0+YIKCyc7U9bsEq9GFF05 fosOC8Fa+kKl8VXw19ZzNTJm4VTsJTpDvgpJ+46N7rNh4WUZ53ZaWiXUm5Q3 eV1nIcTmNF++eiV8BwK28vixoPhCyLqxogJ3PB0X+4JZMOsqzaq1rEA151vm 1jgW3BtWW63t/wyBDU4hR7NZOL2eYvjS7TPiK8LSa8pZMHasNVsp9BlaIrvX ptazkGHZ4mwW/wmC1KEN41QWZG56W8vpfEIE5aNOwTALT7U0Ty7x+AiLJ2qb 9s6y0J0dPSp89wM48REPaaIEklQU30aEl6OG+ivs63oC4UScqVhxGWI3fp+d VObmcUqwSmN3KV7GBm515eYv7DQcROreo21ZtdkKbj4bRdND1lW8A39py/1o awLXg3J1+7+UYPk5Ee3t1wjcbppLtOt8C48jTcfafAjwjawvKv5TjFueQ8Fp QQR0Yj7JiyoWo7JRT6Y4ksDNi9kOZs1FuF/45sipeAI/eV+pmfoUYX8674f2 ZAKHsid12cpFOL+y2VUng4DKjZB3B34Vol7t3SH/HAIeAZNH5QMLcYH1VOxN IYEQH05is3wh3hV0hXuXEpDJWRKpXlaAc5NffaUqCNyoz05SPVMAX+H9zx59 IWAVucahgJOPg5Z8D+obCZwtKfTL+E8+GuR7PRfbCByVmvMblMmH/kjMnZlO Anq2pthflAeDZdbC5QMEypz1LeLM8nC9ePGkCZ3AseViRa55uVC7P67gO0nA erxF8u/1uYjU7H+ivkDgwEaFpeTqHHQHGeh4CpGoG7C9Xrj4Bs4FQsZm4iS6 WoTVTrKzQF98daBCiqtXZuYkO2fBxEDHX0uGxE5Su0l1IBPLDJcahMiTiPO+ 7dRvkwn+lSXXmxVIOLTbWcd1ZMDK9GPblDIJc5sWuaVWGdBMGGBv2Umi3FIh 5GF7OvKfVRzWViOx+XPOsrkz6TDaVRqmqUlCumSo17wnDXsmhF+v1yaRHqPX 4PvzNbyi+dSu65O4lGD6Jqo7Fdo+9hctj5KwCGjjoY6m4OG2kwfazUmckMg4 57s8BUyNnSazViTuGyVdatNMxsGoWz5V50moXeQtfPM1CV38Vmbb7EhQDERk VWyToMfZYuBzmQR1a7aA5mwi1jiGS5Q4kRBaSI4rf5GIsysCHHuukpCoqQsm jRPhXzS5abcLV09xJm/xJ0Jx5v2YuysJ+bSn6ofLEpCUxF6Td5PEkb/fC1h7 JCBwuXRjnzuJhorlafXvX+FR8Y7WT/9y/TlrDO8VfoVN5X6qp+6SOFMq/Fiz LA62X1edSX1AIrUkx5P0jIWCUbNTURCJ+HDda8X6Mag3DFZ6+IzEq3Vyy2P6 ozFHoVkKhnL9i4esH7sXjc+DGpl+YSQuvKldyFaMBh/lsNHEcxKBiTzHmr5G 4dF9FUNb7r9DgK+VoXc1CuFuLbRfL0mE/nnWIL8iCm+SkqNMIkkItwyuu1UQ ibtBuv7vokh0XHu4ceeZSNjPnCyRiyGRS9/AMVwViYmLqVXasST8r88G7quP gLS8m4V5HIn/AlRB04g= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Hk0VtsbB/AylMpcKUVImdItSVfjtyJFCl3KUMqYmQwZItNrHl4vwo1M mV5DyJSZTFGSzDKVIZH3SEil+p371++sddazPmvv8+yznr2fLWJoe8WEac2a NW3k+19MmZ1nI8NpcTvfR2mbNfAvXfxFjeAfeDf+yvPVUsfqhN9gmuEqOK/Y nQhuUUXITJZ0xsnviNVR9D3ipIzlpFifyjvL6BnqXeWwOY8M2r1yd+evSOGN Oc53WAn/aN5ku/ZhHrw/+Tg4mZTwNpv3VpfyHLgV1gdefaKEWLHuBenbn/DA KyjWf/8FtOowa1LZptDPT4RKBavASJXrlavAOFzl5t0q31/CRobMZFXUGJge hokaHdJAlm1WpfbzIXQy8fuXSWvCfPmLVelCP8DSJL+OWxuuXxZP1Kf1gCU1 cZxZ8AYOSUgqKbe8hZdkkfdAtwH2H2ByvdD8BoGnDkQ0CZrAL3H9Uu1KOwzi hYKkJMxBF1Qa0WtpQ9fi6DZ3ERtkJDNsJ+ZaUHS5VVVAxB7H92RY/DBsgnph tvD5aScsBzoUn97VgEJlZ9cmmhtokzmvT2+vR0Le3FitpBe23NB03ztaCxXj /LlUNR+ISgUU8pdVQ1Y4MLO9gYKzM1xz1JJKNB9r9bhDC0Busdfb2b5yrBRk e19qCoaqWzqtduczyMQxiY5ah4MruC/xxf1SJIY96Wm/REMuJdp7YUsJtGcm mP4ERUFD8fam4w1F4N5/4TQ3bwxCJtdpCwQ+ReamrOwWIg6XJSWPSRkWQis5 VIrzrwSUKDUEc6sXwHic++z6gSSI3IpeSJDPR79LVcTK1RTcOkbt0vqQB76s c21u71OhGMXbFZyQi1Pbed3zwtNQK87309c0B+43tzncMshAscKvWhqyIV2e fDTiehZ8f7oYWvJnw3T8RMn5x1mg3jjE5v+Vjpnc68wtM1kYP2+j9r6dDuj9 EOKWpSNRzbHPPYsOe9EAtr3udLC6iAk2pNGhE3PsiKcvHfPpius2ptARv/eq w7tgOqgnSyM1HtGRdFm/7mgkHXFv6ryd4ulg2cmw+PSAjof//vf8PxoqTU/W xNIx22HGoUx+d2lNl+4EOa9ieTvr92RyXdeBBwfIPB5r9VZ1yP840SrncC+c jiuxqczV+XR8CupYaCHX7fnosHN3GWmRmJKPJnToCcetC1ibDeXmKFulM3QY yOulValm4/7mgefjAmR+59bVxrhsXPydoVG7kgUt/0eCqZPZuNTyx0euMRO6 UotdrIV5mPodaB2UkoEfUrpdVQYFcKses+qhpsNqSibQm+cpbC4JPgNZ935q X8fSTBEMbHtavsc/hplwsYzelxKwZGa82TGRislqnR27i8swMn9u+1G5VDQE fF6tjS2HPiut/Ft4CroqhzoWH1XiADeL5a/5ZDyg7rzm/qIarn1Vyou6yRDm 3qlNYa/D7IZ0Tn+3JOyhmqS2WNXj7xBRyS0aiZBlWWgNnnqOoorZqHr5RzBJ at/T4NYINUroQuPBBGzdpbfhvFQzPF4bnb8uH4+hpKSppqUW1HQKOr66/BDK novn6oZbMVpgbXRb6F9U/Hqndqn8FQoeZiyPbIjDHSjmSLZ3wOliCY8VeyxM vU/VbQvtRAJLNv+AVgy+0T6/VJ1+C6Un3a0Hch9ggmfVufOfbgy1baY84XyA XT29jOD2Hujmn1B56B6NAT+3cUHNPvg+vph9aikK5QaCsl8m+zH8zbRizjkK TsKVw4e8B1GmElYj+zMSkwwXoQvnhsDzywFJgZEQ62d9o8A1gk3n8rNshSKx duW3o8LQKPZGOSTN1dAQwjeFrO4xrKaq7rI0pWFRM26qvPw9/H4TgQpbaXBg GwibiP8A093tRe/aIlByTKLqhes4aGx+DW72EXj4ePNz5+gJJAuVR1FFI3Ac wsL8jyeRxJ6Wur6CCinGgZKkx1Nw4YuOLj1ORc7X2/Ke0R9xT5nLw6QtHKFH pe7kOU4j2pVzwd04HKIv/+mMV/iEM/ebvGls4dCw0FHct3YGnOclTG6VhKGm 20syIW8GdP2/trupheEeJURC2XMWmRvldG2WQiHRGntzQfYzFjXSD+wrDoVl yDD9T+FnpJpdHdVwCYXuu8Na1sJzsJ9recB/JhTaFTEc1V5z8H06KNLLEYqz 6Y2PzLvnUCjPeXBxOAS1QwlnhwUYyLgrwFgqCMEOdiYeSz0GZkVv8dn5hyCm +TP/RRoDITJi6uv1QzCb86MsrpYBMWx+IyMdgmvXKLVcCww4jiuvDq8GY++m u9c0dhK4KWhu9W9HMISOTF74eYJAgn1zw/q0YLz87XPYXJvAJ10JrxHXYLgu Rr6rsiHgor+R+l6ddH7jiSkvAvzB6wLGJIKhRBPfmUMlkJNEMSleG4ymJoWW vHgClOY1SpTuIETORIV9zyDgfLOfXTwrCHIBXfz9+QT2Hk4+6eEeBKbdjoWd pQQkZFeMbDSCEL2Bg1OjisAKt8u9j2JBsMwSS6TXEZCbHSwaWA2EePtPP4FG AloMaY+jXYGQvGgYNdRMoEy/VFoxOxB2s1u/c7QSYDHfzp3jHYi1ZYZ/d7cR YGKvSTfTCcQJ620flF4RWP1zMNxFJhAT7E90XNoJqITnqvRtCISaWSdx9zWB Qen7G30+BICl9/vLSx0E/Lhf+d6tDEBJ4dlE1jcEduTw8NiFBeBIx8+ZOtLb qrmcX90MwDVb6SDDTgLXxtjigg4FgLWzbHqetDKzfX46awC4flh12r0lMHwb x4UG/PF49+zrSdJVz5xnFnP9cbD/MuVKFwET2/75MFd/fP9x91AbadUIIXqq kj+YvpXZH+8mQC046yuzxR+Z3CcnM0mfU2veePSDH9Ke3Szg7iFgetBntKzA D0bsRWl3Seduf1aQ6+mHLhkvrUHS9SpUnitn/MB1X/b5tV4Cd2zUokqY/bBB 82vxW9KE9WJedzMFkuPG4Rf7CPSK0adzgylQ7CyiPifNL1LYd1yNguGtLyb+ 7ifQo3wjgraegq7ND4SbSJs102Xm63wxGPleSn2AzJ+8EvHPPV/yXnAWGCAt OGUdV3bEF5o3nFhvDRJQ3/T8+cl5H1QZ/gyfIb373TLH22wffPY//cv+HQFv nyv8dqY+4Ai8rfed9LmXSw6Zxd6IU6hKuDpM4K9Y9qmBDd7QdmXwZYyQ+5F3 TKHaxAtankWq06MEPFJDDpef9ELXcFrvkTECvMvTD3fweWHodGsChbQxr1pj 3bAn6s4EJHSSponGf+WN8EQF73Sf4HsCbyrtNvzZ5YkVf6aOUNKd4nGq1Pz7 yLRMEv9B+jironz1mfs4k7R12uQDgQW6Be/TVnf4aC686h0nz2fDiywv43vw zf8iIDdJnudkitM+Hje8ODbV7T1FwJppMaHutQt53x0Zr/5I4JdKrlH3gDP8 pXbM5E2T/bBZb/QR4y46Hb/eiP5EjvszbpSw38Uud7bcOzNkP/S1z5bJOqFX oOOk0iyBSeawM28/O2Kr+Xh+CGk9n72ZoxmO6KV+PfiGdC8Pc9GQgSNmrus3 b/5MIPyrmwOPgCOepugLaZOWWSr8c6zPAXxb3gfEk8545NWjFeWAvi2KzCOk 5TeqLNt72CPZ/PIWxhzZP6dKR1Sc78Aye7mAwSDHKb1DC552SHESqx8jCAiI 047w77eFuriYSNM8WV9/1+mXhDWqH4vp3vpC9hf1k6hWrRWc06pVl0hnurtb 7Iu3BKOWXZ6yQGD2Y5PlSx8L1LaGXOH4SuDuyoFfkzstYDGckgzS1yODTseU miNlylbyDukVEc+mnivmoCpaESmkhbdW7a+ZMMO+zOsNfaRL9RSsQl3MkC9+ is6+SOBURcWHvznNkM2qlX6atMZgt+FDf1NIODduW7NE1jMo2+nQdhPoKQ7L FZG+7cBXfrXOGK+Xa8VGSNs7S0fPmRtDdFVJn22ZgI3q2mfzW4whMOc5KUNa XUF7jW69EeR/WNTqkrY2bDIUu2eEe3uaOTxIKyW3HSLkjKAUYzaWSBr1NR0F XwwRz2V3tI70xlzroJsGhigOKKhZ941AdH2XsEmPASR0ZPZcJP0/FRNbLQ== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Xk0llkcB3Alr0yFolQoIrK1yJGIG1nKKPQyJUkJKSpLskT2omRNWZM9 E6EYZMwPr3e5SpSiNAwnYoZwX1uUzO055znP+fxzl9/93e8j73T5qMtSAQGB HPr+/Ia7j2BWFA807pZtOxk/g7RHPfdfTeJBYta+amw1g2J941SU83hwIuuR qZLADPLT7ZcI+oMH56saVKfyp1E2S2zAj8eDOJ9wP4Wj0+j694BPmh944Cij 1dvImEYys1VhrGEe/D4WyVhsnEJ/Dd8INpjlQYOHb4dSxBQKkNu/u1cYw2WB B8nG+6aQ8ZUUCzEpDDOR2uWp3yeRzVhfzYQiBpn2L9amrEk0elKw4MEuDOJu QfEJ8ZNo7QuvBk19DCriakNvT08i+dO75ucPYRgL3DdYqTGJZGs7d7vZYjhS bINtBSaRZrHB8ixHDDpRQkELXXy0TsT1eo0bhh3etw+tquSjjMjpi52eGG45 hm9aSOajKztedon5Y1DXEKs75sdHIYZ5u69dx/BjdLag2oGPpBpIpXokhgBr x2fNpnxUcbwoRjsGQ+ehCv4uTT5a7T+fnhhL1693x9xCkY/WZvg6Zsdj0GKe 0/CX4qOUANfrLkkYEudZxtkr+MgydkTz37sY8jY26ZUK8BFDvMN2x30MnjJf I+JnCBLzjSptolZ+vaNnepKgfz+Mj1unYtjeOrXtAiEo0HqnZg+1XmXs+tEx giK//BPtnIahjenpeG2UoAy+4kcvakGvC9n61NYK6Qoh1IkR1QICP51l7BRL vT/fOKJphCDlduXFJGrG3+9f5lEnpv18MIxY12yKorbY8HHvQ2pj/UuWrtRO HQVdhdQCgmHRZtTBSyxFK6mVztqv+IV6SGeLXiO1xUBK2cv/CJrKVTz1ilon SNY3nrr7xuN8y3QMTt9UjDWHCeqYvKvWSt0dFNPcP0jQ53hThlkGhjczq8qy PhE0NtBhVk99c3is3qWfoNKhc7peWbR+U5E9jA8EncRmL8gDaif1JTavCbJU 3vbd6CGG4RChdoMWgt6v3xvilkPPJ+fIjucsgvIWjtW55GLwOx+j/ryezqfK PVOch2FCN2WjYRVBAr0rz2TmY6hw3R38qpQg37o9zIMFGAzftacYFhE0GyVY VEVtkxT6JTiHoB0b33JHqA9X2JddyCTonNCf+wi1dNeYOv8+QeoVP7YWUVfu n/AWSyLosdkfEcup35Uc2qp9hyCz5+vlFOl8DGFXDe0Ygs70NMoz6HqMfCRN hqMI+v6xMKKGrn8gruyoegRBx98K+h2g+5OT/Co1HErHZypUl9L9K0rbrGOE ENRcNacWmYnhk6mpl2QwQYqKMV17aH1TPv6Qjr5GkJr76xdttL/0rNofmQcS dEJ04JZ1CoaOama+eQBBjb5HHBtpv3YaP/QP9CdI3m97zpYEDD3KcgltfgQ1 5Pw64ncHg4+LQYkh9UyhhAnrFgbmxJxjy1WCPl0XPcCIxiBWtKzYmdpIabOc URSG/Iy/s1dST/153OpDGAbbh55WZb4E/dm/NsuN3rewgZxSB+rVlqGLE4H0 PlbFpUlSX7Pz3+7jR+s/asR9fYUgT4nnZeM+GDjhTyOTqRVOyw+60vu869VI wnHqK0v4mhYeGFoWuy9KUWdFzsqq0fvvUubs9d6HoNeH5T8KOtP1lT7pT6eW OC4W10nzokE9Qu8U9VTTriN59hg2/bVtyxZqY/uDqheOYdgwZGfz2ZugL9FD 83xrDB6XJePTqDMX3BW8LTCMx/nUWFD7JMblD5li0A2KL1z0ov20+24g05CO v5ip/5T636zGB1V6GPrkjrk7U4/HHJNr0cKQesA+dxk1Q6pjabsGPa+6ZNl8 T4K2GmzT5CrR/tlr+daIejZGJq1sM4Yvwc8a+y4TlLBVOlZrPYYD+KJVAPXA 7Ev5YnF6fuqz38Spz4utMVwlQuuZxmksukSQ+FeJnukpHrTffPYh8SJBQvfT qzz6eGBZUfHU14Og4ujatZ4veMBgbNNluhO05NPesk0cHojYrMoSoWZ5J46z G3gQ6yV4Hy7Q/Em80uZSxwPSbaLiS92cJn3wRxUPvAb9marUa9KVZrJKeWDs cJP5x3mCcED6hFoBDy7VOZ0wpN5kJrL5USYPVouVub5wIyisRvVdfQAPmipS k4dcCboxr1NSYsuDL6f9wyedCaq7taL10k4eKBb+3T3mRFAl717oDxEesEb7 TD6cJuhuS2LX7mkurFsVE1njSPf7ZM/Z1X1c4OQWDSadonnWnOF4r4UL6WsX Trk50LzLrRNtquRCy+2xQZ2TBDWVf9ulW8IF5buGpk32BK0M4L7Pz+MCU+jO Z3Pq0ZDWr0syuGByIJzz5gStb+xond4dLmy3a9kqQS2zYdqRGcKFaR3PbGs7 6rD6vw56ceGIxLedccfpeBG3YbM+FxbPpnVW2xLkUDjOUhHmQlrxMi73KO3n aO24s3Mc0GKnVwhT12p4bggd4YCye/yMiTXNP3dNq5AeDiyvrU4NtyLoWWbw 5jNtHBD7JfdevSVB6zdo3ehgcWDxkehvMtSHRDs9NWs4sGyucCHgCEFBJ0M7 g0s4EPz+a2znYYICsIuHQyIHGgXESuwtCFpY/Nr7zpcDRbW3F7vNCSqXsOn9 bMeBMVn7UJtDBMXu11v9xIADj59yuF1mBL2VuMNcq8ABvkRmvq0pzZMt/FAZ YQ4MMIokXhnT/8V5Rcuw/9iwxvKVt/4BgrTbbipGtrJBNEHdpMiQ9o/d3NKt 5WyYG/otesV+Ot5EhuxcLhtq+Z4dRxHNo6QLQ7UpbEipWi6UZkCQhpDY2XPR bPjHOl22V5/meZl9TOY1NhTxWzNUqXv67aUbLrFhk23+hqv76H3znZN5c4YN Ubc232/QI2jw8Zm4cjM2ZEZY5VnrEjSfqZR9UIMNW3oO/t6rQ89nY3No+ho2 OFnIlJ7bQ/OiUfbzwqdm8GZ3K73XImgi8ebS5MpmWOfc27xPkyDzAqOPFv7N sP1launIdjpfv3qjlHkz/C74q9ppdYKUHFZqaEo3g6TxkEeLCkF2GpE2D0ZY UFqudVtVmSAViaDSU3UsuPXkWW6oIkE11TdynK6yoDO172m5HEEi5ywc5Xay QG1lYEKrDM0DKyv3nOEm4Nx0KO9aT9CjiX8OT2Q3wfVB2XttkvT/G1Uz8jCw CW7IC9vVryFI+s0gU9i2CZJFkgsKxQn6H3LNdNo= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{-0.21999999999999975`, 1.0999999999999999`}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {-0.19999999999999976`, 1.1199999999999999`}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[1.125] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdQVcm2uNExgDnOqCjKYB7DjAEzbc4YB3XMYhjMCXW4OmLOGcV4HUyY UMGE+ZgDoiiCIqBkJEdxBAM/f1XnW/vWtqZ43vDqvXr+deqr1Wt3r71Xr17d Z+1taT+139j8JiYmvQubmPz/3wVzPzawWBpiGHVjsWFYa0/V8cqUQE+7J8Il 81/5c1nP28KDLP5WxuvsQWH0B3d5EXK13XXRh9GH0YfRL3Ds7bN+Y31FH0Yf Rh9Gf6BZkQkzOj4RfRh9GH0Y/XqXvnNoNSBI9GH0YfRh9PNNrTGugMML0YfR h9GH0U/cUPFkbOsI0YfRh9GH0bebUO2n+7eiRB9GH0YfRt/QoZbniV6xog+j D6MPo1+nSoOGm5/FiT6MPow+jL7LmybHfxuZKPow+jD6MPof/FrVHxafLPow +jD6MPqnf7Z8Wq1FmujD6MPow+iPv7a/vMvv6aIPR+6yXvTr5GeGl7P3FG84 epvqabDt+3ruQ2H04QMrh7Zu3PLSZ+1LFI3K+iVEGx9yxgczPr0cfa7H+I6H L93fZoyPoXXsjaWz66Wreesn/P7LiLWGCpZJi+rYuaush0WcA7s9NrjuWnrg xMN09dOaHUHtnZ4b6h0/Yldv2jTlcsz/hzWjAoVpD3N9WOabkadbven+qMl1 YQdf38hbRU4Lcz+K1PnjYuqIC2IfzHitZ2+8XLPXGeGwEI/z56YbRL9hTsLz lf3viD5M+5vVogcf8LkpvONJ+qApofdEP6nhN4lrLz4SfZj2U5blDmiW8lB4 765ldU1M/EX/emSp+AEPAkUfpn2x2WsPR68IEJ7Te3Pte6Wfib7rFotXVcOC RR+mfUTtnQeP7Xgu3DP/3pqbrEJFf1LXejFxaWGiD9P+bMihA7M9XgpvCB64 6diOcNF3+7ArfdDCSNGHad+5S8jjqmERwjmnhpfeZBWlPb9n+6a1KRKjPT8j 096zWmSfAg7RwmPWjt0w2yNG9B09j6RaurwSfZj2lXLi/OLSYoUfjptUckjT OG0+rfSaUqhygjY/jEz7JU9Sez1wihdu3nbmOnUlQfS7jj6XnLA/SfRh2qd4 vHnglV/jvRX/Vrx6l2TRP9naMMmvfqrow7QftOxDT9fVKcLFMxesMX2UKvrE G+ZLRMP849qsSpP5AhNvmO8w8535y3xm/sLMT5jxsN7DrN8w6zHM+gqzXsKs fzDrGcz6BLPewKwfMOsBTHyX/o3xhPh5e7khyblnjA3xEeb5wD8+XLvRdaaP 3D/kqu+eHRMGafE49XCJ26YmGerbGve7Zua/azh5LzXf3iGf7t+1ZTd+a/vM puSSoJMpE1YJB9sljpx5d49wQMjGhws3ewu3ne1xaNgPl4U39x8T5Z98S9jH bfqjtufvCu8ONUw9afpIuOXizuPGT3ks7Lj+weS5lQKFS1n/PKbRgqfCXduH TOxYL1g4Om6U/buNIcIWWXHji9uECb940OzHyL7hwtn93zVOrBUp3OWgzYnb wRqPrp//lJ9ntLDXgk4Njo6OEX5QyKzR6RavhM0H9zy2PknjZuElvbZdjxde 2rh/PcdZCcJ7zn/74+89koRTiw0+OuijxkVdqpwYFZAi/EvsyLptlqcqk17F nzdJvGRY5dEqyTkgTVlvvT0k9YW3oefey8Ore6ap79dGl3Z6+sgQfPV07zXh 6eppUeu9D1oGGQKOzdv7MTddpdRvZp/P7akw8wdusnluAacqMVdYj+lf5pOR ZT4ZWeaTkWU+GVnmk5FlPhlZ5pORZT4ZWeaTkWU+GVnmk5H1+dSIZOsFAR3S VZcNq8K9Xlz+LL9wnGoVVfGM5v8Dk5L2h0UcUVdLdj38wHy/4e1vfRZ86J6m +vSeeqb7Cn+5X8Qr5l+vYpcSxkc9N/x4Z3VXg52bTbliTrfNS2o8u75XxbF/ Bgh71n/d5tT9QGHGw/XK9K638f2pxyIP6hU/6XjYI+EZ4e0XpK6/J5wQfvfu 6ub3hXm+MPGZ63tYtZhqYXZD5NZWp2ouGnlNOOV+5x117E8KR/r2+8H+1Blh /EXyG+P921Zqo8f9wqe05+c2IMYs9Kr4l+QzRnlW8mj/OQdvCI8vNCNiZ66P tJf8xSj/o7/zQ7P7D4SLnL2d4rrRX9pLvmKU7x9qG2P7p+aPLx0Ckkbseybt JT8xyv9WckjUt2bPhU+bRybUPhMq7SUfMcp7XXeICKv0UrjTqzmvf4sKl/aS fxjlG1tenPqzq+bvJ67OnzlsUpS0l3zDKH9X9npK86paPKq4Y2lGu6wYaS/5 hVE+Nvnu5CqHtPmyeOaa6TXnx2nzm3zCKPe77ZeU7yctXiX3dEkrUjhR2kv+ YJS3cHs6Mfa8Nt8G1twxNXV9srSXfMEo3+f0IsGnfYpKzX82usu5cYaAJn6t hhVMk3yhrkvm2jV+aaqRufP44Y6nDLsyA/1LbtDyAdarNcVyS5zzDpb517z+ lKxvrQKE26+L63do/W7JP1hPr3vWLLraPE25dXsQXqXfFvFf79UtW8yptED4 4cC/5wY/8TV8X9O+k8PudNXA4r1Vw+Y3DNk7D5S1r6DFy05P4n9M6HvOwHoK E29g1l8Y/btVfSMr/LBB9GH0YfT1cv36Dt+OyfdiaORpZdGgtl3B6xlq6GQ3 S7NHPsIJmSMSpm8NFK7pldoh7PYL4Z+8Db1qvosU9tuy/F1omVfCkx17H3Kp myhctP93dt3bpwoHbktdYHIsXbj6iv7PQs5lCs+c413f+2aW8PVx5ks2PfpT uPQA5+DJodnCIztF/dgt7p3wiSZdlld//UE41+roi9zcXGHsf7Lj6OY5hV6L /TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPY/+Kwg0D4rtnif0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2O/jePJskPXvxH7YeyH sR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR8mnpLfNDm28qBpiU3q5pxx TX2rZqhqnqXu7nS7Loz8t+h4R5sxmapn+W1tLjo/FvkK/1pba594Lhx5Z8jb 7qnhwgvcrQ7kKxwjbLE0se85i3jhS6NPfZxinSxcf8/lwDIH04TnbbCsl3Iy Q9jXeemie1deC1eaGh+03+eN8IThtg0XPH0rfM7Wa+mQyBxh0zblQ61T3gsP rOfUqEzOR2Hul97+Bn0nn/Y89Fo46nJa5vfJWcLcX+It9xd/019PH3+R438w /gfjfzD+B+N/MP4H438w/gfjfzD+B+N/MP4H4396e4k/MPOR8zT9/pzzO+Ss X8hpjz8j5zwBOecJMHL9+SD6rJ+0l/MpXX/NQnaN9xzqIesvzPWmVQttZNn2 lPC6WQsnW7TYayBfoT3M+k1+jxxGTv8w19cz5yfkW/p85L96XqA/H8Cfybfw Xxj/hfFfGP+F8V8Y/4XxXxj/hfFfGP+F8V8Y/4XxXxj/hYkHeZ2H+F8Isbyd 7WmAfdsuWh9wy92Q137cPqJX6doRvpKfot/ausx3+46nCUeGnQooZZqu5u9a cHBC9G6lb+/as1m5xT0z1G+dBl+6P9Ug1/N/MPzSjgLnha39S6/wK3hN9Ius K2nq0OrmZ9dzL1nRdXmzTOGe5y/0z9qQqQa5b6tid/KRtG+7ZOswS1t/4c2j a8+5HhGkXa9dLe9184KFfy01NG7rinDhYc5DTD/aRQgXTLXa0sstWvjdMKsz pyfHCO97kNiu4Lk44e2tE0dNXBov3M7jVMpFvyThZuanSnz/92Thabcu256f mSacMO/ysEnBGhtOW+7f7Jwh3GKS5ekusRqX3L80Z+rq18IrhywtYpWh8TCX +D49tr4RftY9fuTHDxofW2R7sOa+t8K1Wtp6PzfL1uyd7vUh34kc4Vl1vIqf Kf9OuMeo8j+/uPBe+FaF8mM2WH4Q3tHH6ci52x+Fy5k6XZhYP/ez5zt43q7A 7LmvhU1q2rj8Gqhxqfiq5SddzRI+u+ma//OKb4RZ72DiD/GG9U/268Rvzt+M 6x/M+gCzPuj3Y2/DLjXr/+qO+LN+PybzIemJdWifdPW6ToFhNz28PrO/5y8D Z/fa8ml9anpuR9l/OA9lvalT9mjdK/P+YT66znrd7Ui6OuU+v8yCHnukf+Kx xLvqBu8LXjdF/n7LrDKRlsc/m9+S3xjjNXL9fpL18rP5blyPiN/Iidf68zpZ n4z6JZaFdpi37Izw7p/zbX00aKfh//p5VV7nDeTHPO9te3KHZn13Tp7PjPV7 Ilo3vaf095/8mfudlj+78aUUzf9Nbgefufpcy6+5fucef4wKnOAr13uzZKRP UZ8AYfJv2r+0H1EkaMxTkTdqn2bllB0qTH5O+0rVUkd32vxS5N65BpuZmyOF yd9pf3SKYfjzUVEit3u5PLGOR6ww+T3tu9kuL7rB6ZXIMy/13hZ+I0GY/J/2 r37ofa7zxkSRb9z5XaetISnC7A9ov7TId2M/HEoVeYXLqW/dndK1+WLcP9B+ o2Oq6eBwTf6rR//ei5ZmCrO/oH3E6P4jmiZpcu+d3geGbcwSZv9B+4b9vc+U eqvJC642f9/8738Ksz+hvXN782JJ32jrgd3fnPuVO6ytB+xfaP/gJ2f7OyW1 9WHf+KhDqae19YH9De2rWEad22uurReZg7rk+lzV1gv2P7SfVKpLyfm1tPWj fdejdu6+uZ/5M/shyRemzpvZoLHGZxsNz2pkkSXt2S8hHxqae9JtjsYT/oho csD+jcRD5iPxrWP6/qE+HdLVph3F3Sfvvyn5u831pg+9X2rn9eT3rao0u1O0 SPpn5/P0t6xOxulnY9MkfyQ/Jn+EyR9h8keY/BEmf4TJH2H6Y72kP5j+YPqD 6Q+mP5j+YPJ1/p8hX4fJ12HydZh8HSZfh8nXYfJ1mHwdZjz8P8R4YMYDMx6Y 8cCMB2Y8MOOB6Z//o+gfpn+Y/mH6h+kfpn+Y/mH65/8v+ofpH6Z/mP5h+ofp H6Z/mP75v43+YfqH6R+mf5j+YfqH6Y//8+gPpj+Y/mD6g+kPpj+Y/vi/kP5g +oPpD6Y/mP5grs//j1wf5vow14e5Psz1+P+S68FcD+Z6MPr834k+jD5Me/4P pT2MXF9PJvm6cT0lnyQ/5f9g8iMYOf//kd8gJ3+ByU+knsyYf8DkFzD5A0x+ ABN/9OPh/0XaMz4YOe35fxHm/0OY/wcZj17O/4Ew//dhj17O/3vYT3vk/J/H /aI9/gXL8zH+n8f9Rh9/gmnP/3nyvIz6+BNMe/7P4/mjj3/B7C/kfNjoX/rz XtZLWL+e6Z+nfn1DLuM1MvbC3C+Y+Q4TX2Diqb5/1hf8B0ZO/EcOIyc+w8RP /AlGTryDiU+w1MMa/QdGTvzAf2DkxAv8BUZOvMA/YOTEj3x/H3DUrG66on5x zJCYw0NbpyjqAWvvtuuTWixWUV+3yrB2X/OsCEW93LNrq5O/uRiiqH/bWeC9 i+vqJ4p6tqDj6dll80Ur6u1mufXfccE/TFE/1yLqRlvbfc8U9XA5PRweGl49 VNS3le0bXShs7GFFvRr+BVNflt6vy624aRnCxEOeJ/6HvdRvEn9gzl/x90Ob Vwz4s2GG4rwY5ryY8VHv9c2+jdY+pS8LX1kX5Njv3G1h7IO5XzD3A+b+wtw/ mOcBc79hnh88e+15d58KccK351X5cKB6gnC5SQv7L/wxSRh/gH85UN2kcvU0 Ye4nzP6M9QcmPrAfQw4jZ/+FHEbOfgs5jJz9FXIYOfsp5DBy7GG9ganXZb6z 3hBvYO4P9bkw9bmsJ6xHxC+Y+099Lf6mj6/Ea/yN+k+Y+U28R058Z75gD/GN 5019MOOV/M3oL9TvEr9YH2HiHf5HvS7xm/b4I/W/jIf7z/2FuZ/M15JrTf64 VVRbj7g/nDex3sCsNzDrDcx6AzNemOcFMz6YeAKzn4TZT8LsJ2H2kzD7SZj9 JMx+Ek68HB/hPTpd1re5ns+cw26mfbbfyc1ufCb1dYAy9e9SIvJ58mf7g+RV KzamhGr5fOUrE9vemBqpTp5pXG5sb229mr3Q3bHt4QhZn0zrV7Fc1SxE1qMj tg2Opvf2V/r3LTjPCNj09EOrGelqdblh/V0srqkOLW0+hAxMUQta5boHNX6m 4tPLvHOoHKsiCo7wqlU/Sn1zuVKPvj0jVa1n5fx+jYxRSQ4vB/RbEqrazTG5 4TUzTr13OGx2o1iA6h39a7SK1eqj/tl62CXZkXa/p2v5aV71sfbXKzy88YcW P/Kqlx1Zp1ydW7PSVHj5wQ7j2z1Sd8s9PhzyU5ra5mnukfbiX6+n7XzBLmB7 Uorku01/OtgqLDxJNelStXz1WVr7f7betoH/Q6d2pglKX0/3V/W3pvPHla34 Plby5TM7Cpbv0Tpa3SualuO5Rmv/V/W5zM+6vQsNfT8xRtUt1i2s8sooyadv WT1ZWKBXuFpb5PfFqmHe9bzM//nfNsp/tnScqp2ddGH78DDJt78NMbMv/nOQ muBXyG6lp6b/V/W/xJdpZZc52v/2KZ/f/cK834unko/XvDh3zNsRfqrl8nfm vcvnXS9M/Ko89X3xZieSVLCjxe7HFvcl/lt3GXJvvetRye+/tF6Y/J3zvC+t Fya/imzbqlnfXK2e86/qh4nvbuOrdJh7RavP/Kt64h/HRoQ2Xx8n6wnrUc+c E3sK3dT8U59PXzHrOOpFzuf1x+TTLS9WexF+5/N6ZPLpjGV1XE710J63Pp8e p5ZXKLz983rls74BrcObXPts/Z03tE7goYuf9p2vMj2vDtTyU9bjukNKVy23 4dN6nP3mfu9d6er1wdy3/QteVM/Tu3R965KiWuaUn9HxwFOVW6bNnMyD8Sp8 4S9uM2zD1YHFx7ZP3xurbrazsM6+Hal2B0Zv+v3326rg9r4VTG2S1eAa+470 an5Phdc47VAsOkkNSmp/e0qfTHneXes1ajPEXOMGZ7ptaBGYrg7tyr67bsgx ZePwR98tCelqWJVLPUq/cVOdr5dwGeyTrgaUd/yh5Qgv1cLX/Gqjk6kqzi/p fCm/J+rDsUW293snqs0XEy0tXF8o9w1bSx5IfKW8v2l/vs6NCOU6papfr4QL Kieh3ZLokSnKpO/ekmMPBxuKWuTzLBL9D/vNPU2aV8/JUCNXdv5Y3k87n/R8 Xcp8YXfNX01XeZUwy05XNXrZbr3RcqWq97zUgX63vFRWcveMSmnafuHtKttw N0OKunrafsH6Rudk/9AkNnjimoZBhuhzdmFZ+7T9Q7Mot+qjb2WohxnPq5fe m65a33Rwcck8L/uFJTPmTe/k660Cpnn6ZJ3T9g+q23aTDZXS5XziyuJH99rl pqkA68zTs03vqeDFwQWOBqQplwmqx4TF92U/5unx6E38xVRZH48nbBj11OrT fjspeEm/htp+pPORhOVdzwcaWq86Xrn/6AxlfTP/xasHnhg6nok6+VO9DJX8 8zG7FyW1859tZjN6uJf4tF8Z+rtjl1WnDQ/3+L/x/SSvvnh2ln2+k4a05zXa nvmUP20yHLlVJHC3YXiRV675P7U3K6V+/S54v5wfkV/o3y8o2C9t63feHvI8 LPsEzXIv5/5ZPKEen/nA9VbtLZpSf/xFrf2+75zHXbginLPOfLvbmjvCi9Zt 6VMg+pb6Z+vXmb/0f6VHjSPTyz6U61n3PJpR/JKf8LklVdwvZz0Rnr8keOFU S42JF1yv8ui9DWq2eCbyAaNj+jkWDxJ+3e5Ybt0aocIX2k0ICe0TIkx8kvqe ao1WuDiEibzbhpZPp1mEC2933l2vZ91I4bm58yrVuBohTDzkevdSwqeZ+EaJ /NWU/ItrWUcLNxs+7nn+9rHCFV92vBPyLEaY+Mv1fn1wqIp31CuRL7X1afjS Nk44sHWDZed/SRD2vlTMcVNqvDDrAdcr6DHNZ/K7RJFb1dsUunlskvBM8zeN pk1PEbbbGVCtW2GNWY+4Xr9Ou1ptMksT+ciCx24esNHY9MPLqS4d0zV/a/0w 1rmkxuxfuV6a1Zi4rpavRW4S7Th96ACND4W4V+4+NEt4m7mri3Utjdnvcj2b sndtqtd/I/JeT4LuNLPX+I1PkZk1HP4Uji2SE1+6scbsj7neuvz1tuQ2fyvy 3ddbW5SdonHnC1PumThma/6eM6xtso3G7Ke5Xmj6+sTgjjkiT/Jyc0xx0njz Yf+qoc7vhJfEX3O9211j9t9cr15EZruzfd6LvPWeAvfvLdU4epv1bO/VH4QD gmok7xugMft1rjfv0cBtG4d+FPmqDQ6WBzZq3GjFDt9NW3OFq99d2cHZXuMv fZ9lZF3fbVO7pauxoambyja8qcpMybG92ipdJU/e1H7897e++H2XPwb7OVjZ p8n5QbGlc1p71Pm0H+ibveRu8f/8+zCb9ww0q3g8Sc4f2rcrvHhNQKL6tvPx 605bQtXCpa7FfzVPUoeKdpwxxezr+zP/6vsz67rubptadY9aOrlcSrH5qV/8 fsy3Tvs2VSqsnQdxPiTrwbrVPwyJ0f5P5LxkkOnle3fr+yvvDdUrVXDQ/o/r V+JV4wkfrqmzi8cvr/BIOz9aVGL9HA+bFBX7Q3nXl01vy/lRmaAGPTq1eSrn R4PdbiTlu5ymjmVcqWzi76vcPqZsf2GaqtY0ih7adFmgsqwQFu75R7Ka5zHs 8a6gIHW4Q7uMdfMTlHsF62GB5mFqTtFRuxsXeqWmmZyestApUuV2OFajU4MY VaRch4WVX0aprZbHVgT0ilB7V1fuHLIyViV4zzrQbmqwetXpVESpsvHq5KRV iQ0jHqtqIy+vc5+fqFbX8bJt0TlKHX9fZcOl5jGqekqH2crlpXIanfJ2ov8r 5Thx2uLmjZ+qZgU6HO3QM0E5x4UPbOkbp0IbODn6mUV89n4g+SPnS+zHYPZ7 MPtJmP0qzHkKzHkLzPkMTL6pP9/i+TMemPHAjAdmPDDjgRkPzHhgxgNzvkV+ zvkWzPkWzPkWzPkWzPkWzPmWvl6B/Sj9w/QP0z9M/zD9w/QP0z9M/+x/6R+m f5j+YfqH6R+mf5j+YfpnftM/TP8w/cP0D9M/TP8w/evrFdjPMx6Y8cCMB2Y8 MOOBGQ/MeGDGAzMe4hnjgRkPzHhgxgMzHpjxwIwHZjz6egfOKxgfzPhgxgcz PpjxwYwPZnww44MZn75egvMSxgszXpjxwowXZrww44UZL8x4YcYLM159PQbn N4wfZvww44cZP8z4YcYPM36Y8cOMH2b8MOPX14NwvoQ9MPbA2ANjD4w9MPbA 2ANjD4w9MPbA2ANjj75ehfMw7IOxD8Y+GPtg7IOxD8Y+GPtg7IOxD8Y+GPtg 7NPX23B+h70w9sLYC2MvjL0w9sLYC2MvjL0w9sLYC2MvjL0w9sLkE7xvjf0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/7xdgP4z9MPbL922M 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP3674dxHk09L8z7CjDns7wPgj6M Pow+jD7vj6APow+jD6PP+y3ow+jr3/eEOc+U9y2M/39wnsl5j/zfZ5Rzvsj5 DXLOX2DOT2DOP2DOL2Ceh74eTl/vxvkAzHkA/gRznqavd2O/jj/CnOexP8d/ Yc4P2Y9zPsl+W+oDjftpzlfZL3Pey36Y+QbzPPTfc5H3lY37Y97P4P0P5Dxf fb0a7bk++ydYv3/RP2/9fgY58w9m/sHMP5j5p69/JJ/m+ZA/8jzI17h/xGvG T/yC9d//089n7g/1G9RbUJ/E/p56Jr4Hxve62O/3WXMhX0zTTKn34fyB7/fB /B/C+QP1JNS3UD9C/Qf1IZw/8P8M49G/f6yv9+phZhZjWTZTnj/MeHiesH78 8vz5Pp+u3pH2Uk/KeIxyzg+ZvzD1Q3zfj+dP/KE9zPPWs7x/bJxf8v6xkZEz H5HDyJm/8n6zkZEz35HDyPFP5DBy/Bk5jBz74beLkzz8W72W++s212LQ1XZZ wp1n9vnmeJc3wikTFh3fafunsKv96V9W9n8rbDM4tsCcX7KFo/tW8BwzIkd4 TbfuQ/qNfac9z3bzCrWd+F44tPlxr/rTPwgv/jF8qPmcj8I/1C5javZ77mf1 cnz/kOdFPIOZn/g3/sP807+/Tvwivsn7aUb/xL9hd4NPgSFntPfTJJ4amf6p P6Q/6g9h/AV9GH3qE2lPfSKMP8n3AI2MPvWLtKd+Ub4HaPQ39GH0qW+kPfVl MP6IPow+8Yb2xEMYf0UfRp/nTXvq5WD8G30YfeIh7YkP+ngi7+caGX3iFe2J xzD5C/ow+sw32jPfYPIb9GH0mY+0Zz7C5EPow+gzX2nPfIXJn9CH0Wc+0575 DJNvoQ+jz3ynPfMdJj9DH0afeEB74oF+/vL+HfNX3sczzleT2Wuqbx6o8ZB6 vTo+yH4t+ryPh768n8f3UyNLjim0S+NS2x8vVjba+3nku/gb+Qb+q/8eprw/ YmR539vI5N/4I/ko6xeMP1P/iv+Tj5Kvwswf6l2Zr+Sb5KMw8516cuID+Sj7 MZj4Qr25vL9CPRbvGxiZeEY9OvGPfJb9IEz8pF6d8XD+Q7yiXp7+OU8hHlI/ T3+cRxBvqacnnpM/w+SH5M/yPSAj83wZD/eD/rGX/uT7ssbnzfk38Yd6aOwn f+T9fPIz9Dm/Rl/vH5zn4q96f5B6U2P85vmT32Iv/bM+cj+5Xzw/mPGTb9Ke +8n9kHoh3fdavtYf/++qP+b5NFg8vdYZQ4r4D/+/Em/h/+vf0/nvqs/+q+/z 6Ouv9fXVedVP51X/rK9fzqs++Uvrj7+0vvhL64e/tD74X/1+0Y5e7l1HFn0k /4/rv4/09ftGX79v9N/5fSPWY/m+ka5eVV/frq9X19ej51Vvrq8v19eT6+vH 9fXiJ8ceaTy66ef14Z3HFFy3+aJWP6Q/36M+WP+9przqhfOqN//S7z39p+vT 9fVRedU751V//D+t3j2v7139u+vh8/o+Vl7fu8rr+1b/8fr4L/w+1r+7/v3f Xa/+tf78a/351/rzr/Xn4g951JPnVR/+z9Zv67//yPe29N9n5PyI/aD++45f +n3Fr9/n+/p9vq/f5/vPfZ/v3/1+QF7vR/5Pfx9A/z7ol74fIN/PPTrkwpKs mQb9+wL69ydoH+7c58/xxdLU/wMMI/8F "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvdv1WUUh8+9hd7aKlwo9BaovdDWVinYQhUrrSiIsyqrCs4iVKuAFK1Y QGS4RcAfNHHvPUDj+A+cccSROKLRaDQaVzQajUajn0/ep6E/PHnH95zznveM 994pK/oXr81GxI+iRBwnOsUR4gRxlGgXVWKMGCtOFnPEbJETWXRPEV1ihOgX 68Q0US5GilJRwWi9hWKBKBOjkfP3brFE7I9shjN89gFilFgmloo86/3Qr2Rt ewV0vHeOOFuMExPFeO40idGyy0WPqBb1olYUxUWiT0wWvWKlqBF14kDkzARs zxTTxaGiUUxBdh1xOVisEatFg5gqDkK2Db0W0YRePXuHINvC2AyNyBY533fa IAZFK37V4uuR5DZD/CqJVSd5zvKtlJxlyZXXR4sOfOxivwS5cnIwlOOh9Shy Vs45XrumZqO7hP0KvlWSswXs5dD33hioIn9jyVsVuS2gP544TBiW44ncv458 1BLXOr4V2VvJ3Do9jIVhcXce+tAtEvtmvteRh0Zy24Tclkg1MYuzG8l3P7pN 5Na2p/NtKnvNyLmPBvChGdk27J4o5pPbQfZbOPdwMYNYO+buzevE6ZH6q42c 2s4x4lj87GDtuXt9HrrW60a3nVzatmvGdZXlnDnIb45UN22Mc7E9F/sd6LRj p4MzZ3Kf+dh1PSzkXNee35oy8Lcc53Vhx36dhC+WPQ3ZHDKe15DvSdhejH3j uqzg7E589Hg8vo5GJs/YzbwCf2zjWrGIsxZxhueXk8tp6J2B7sWR3prJkerY /TmOcRlz17nfMr9RZ7KfZzwLmQJyljkXee8vFyu4dw/rGr6fh3w13wrDzrMv N2DLe+eja9kbWVfHvp6xzevxLw9LiVmRmPuOO7iz5zeJC9D1m+j+ce/4vb0Q GdOHjT5i1cC4ink93xo4pxc9v7nuoybO6eUsn7Mm9r3Ja5lfwtp2bmbtufvT tTkDW6uRL1MDvBypxi+N9NZ7/9RI9efavEpcKQ4T/4hnxcZIPet990hWdl7S uJ39Dcj/J57HhuvnikhveytyLdgYRP4vsUesF9fgh334RTxO3Hdzvm2M1Lml 4hbN/7Ws5psi7d0eab9E89exf5/4KlLt3iU+i9Rjv4knidcf4mnisZG7tDJu wo593szdHbPLIvWFe9HvlPvI79jWSG+Za2EHOV1Fbhr4brmht2MLORogXq3E aID5evZ91i7Wnrs/XIuujXnEbgR1sZOc3iFe47t7zr3hvtgmrsZPx8L9X4Zv 29jfznoWsXOf5Ln3Lny4R3xBDNyX7rFqcr4b/1+JVHOut1tFLpPe06fE7/j7 jng70n+6neTB/j9Hjp2DveJvbD8ifiAGj4mfifdD4jt8+VLcG+l34Gtxf6Q+ /1Y8GOmN+ER8HOl/4ofio0hv8Qfi/Uj/Kz8Vd0aqy8/F3ZHeyGfEn8TDd3o1 0r3eFe9Fen+fEL9Gyv/Q76J/E38Sj0bq7xdFJpPi/r14ONI79aZ4K9LvygPi G3Lour4tUk2+IN6I9Fv4PzZA0JE= "]], Polygon[CompressedData[" 1:eJwt1PdvTnEUx/Fzq/6Q/g+ijVBqE4QGQRAahIYaQcwY3Trsvffee29i703t vfcM3ifn88MrT3Kf9rn3+zmfc9Ny+mfnpZhZC6RiJd6jN/pgF+6gJfKxHj8w GEOwGM/QGV2wEI/RAR2xFC/RDd2xBX8xEqOxHG/QAz1xDbfQHLWwEb8xDMOx HZaYjeFjHGZiJzIxEadxHo2Qjgu4gibIwFp8xQAMxFzcQ2u0wXw8QFu0w2zc Vj6ewXSkJHHvmriMyaije0zDP52tBs5hEmrrmW5iip7Xz7gZx1EXo7Aan9AX /bAHD/UshdiLJ8q2CEfwU7OowD481yyKsR+vlH0JjuKPsqzEDExFPWThlM7o Z2uAqziDhmiKE9iq7/x/zirzdP3NAbzVLEtxCJ91ljIcxjdlX65sLqKxMvKs 56CVMvdsr6OZMvZuLUIni45595agq0UHfZbzkK2ZHsQHiy5PwCWLTmTonj7r BWhvMfNjyiRLM/FuzUJ9zcy7vAw5Fp1+rTOX6lpCN3bwOR5jLbq2DoMsOuez XYM8zdh3bRVyLXbOd2sDhlrsmHd/E0ZY7EAqv18tiW75Nd8l75B3x3fKd2Ob 7u07ctJih/N1ht2osuh6Ae7qWoEy925WT2KX/LwvLDpUoozfKVPPshc+asZl OsN3i05W6MxPLTpZrJk9suhwkTL33V+h3/J3wC+LjlYqgy8WnSlXZvctdqJQ M75h8c7wd4V35D9RR62Q "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNVmdwlVUQzV5skJhAIEUgCYG89EYeCemEBIUgEUEFFEQIKIKQ0JsiKoII gjr23nvvvffey4y9j/2HvXvO7Hnz3o8ze+/9vm/v7p6z+15+d+/UnpCUlDTM kpL6wO6GzdlYLwROAk4F0oDtQD8gFdgBJOt8q95LAaYBA4ERQCGQAWQCEWCQ 9kU6ywIK9D6fFessG6gG8sxjKgX2AgYDZbJDgHLZoUCFbA5QKZsL1AD5wHBg pPxxX6J76LcTqAcagCMUexSoVXwRPS9SjKOVG/d1es79RPlolC3WPa2Kr1LP SpRTkyxzGqV7ed8YvVsFjNcdvLNdOTCnBYqxAxinNX3sLcvY95Hl923yx7pO kD/mNFZn9Luv4mtSTnX6Pku5MN8uoBloAfaTZX6TZRn7/rK8c4os76FmqB1q iFraE+hrrh3qiHqaqneZ6yLgIHN9LAcOFfdLgBnmWuoBDjbXUy9wiOJdCswU x8uAWeJ6JXCYuVZWALPNNbQYmG6uw1XAHHMNrQbmmmtpDdBtrst1wHxzLa0F 5plra5Lq1yxfEXGaqfoVKp8C8c34SlTfDD2PKNZSPYvpvtTiui9THNXiNVc2 pn3aCvFTrvUw8Vxt8Z4pVw41esaYqJ+oYqzVntztFH/Nur884e48i2u6UbU5 3LzvSizeE2X6vknft2hfLd7bFDv106qY2vWsQmctio+675BvaneixXXPPqB+ x2tPvU/Qnrrv1L5B33Uqjq4EDifJb6yvxqlW85VXrAe6LK77yeKamsxS3NR0 rA+m6L3jgAOAdOAo4EBzXVADM+SD+pmuM9a3WxxWyRfvpDbYF0Ms3oeMifqZ pef8Zp5i53uzxT/BXsgR5ohLxs0+ytZ+ru7nfqZ88zeBfdsfONp8bkaV1ybl Rh9L9R33C5Uvc12kfKcpf67Z64uVN2Nfrvh55zLdy3osUU1Y417Fu0BxRBXL enMtF4vjeuW9MiHvVQl5r07IdY3yZc3WqW6s8QrVjzysVV3JVY/4OlJxUJOb gWOAAcCJwEblvkk14vkJWqfLHq/zLXqWrrPNOt8gX+nyt0XrFHGRrBpv0HmR 8qb2YzOX85a/19vEHWM8Vv4L9S775hS9nyq/OxJ88Bln906dp+n+rfK5Xryy /ifrnDHew++Cczgc9mlx8i/wp/xFcP6s+OmH9V3yVYz18+JqV6xvMNfUzcAn ynkX/okJrs1M2IfNNTgU68dNvwFYP2quqTysnxS3NwIfqx63AV+r9iPxzqvS QiXWL4v/MqxflF6uAKqC6+Ylvcd3nlE+zOUJ3ce7LqZ2guv7OeXGvAbCPmiu 68uB8uC6vAwoCa7XUbCvm8+gs4A+wWv+HfCVdEFuTxMX3wC3S08vKG7G/JQ4 YP37w95vruXdsb7TvBfPBP4Rv2k4P8+89xqxfstc6+lYn2/eA+8CLcHvroO9 2vw34Azgd2lpNM7fMO/Rz4EvpL9knL9nPgs+Bc4xnxF9cX6u+VwYg/X35j30 kTgjX9k4v9B81lwDtAbX84eqEetQFLyOrGEU66vMe7siOH/krjR43VnzP4Bf zLVegPNLzWcH9XuvuYbzsb7ENBewvsh8TjVh/YH5PLoV+NZ85mXg/ALzmVWP 9fvmvVKN9ZXmMyU3uD6oDd5ZGPze2HzkbOSdI4Lf+6Zqynq+AzQHn0Nviydy RH4GBefoIfPeYF/8BFxr3qOMKyt4bMwjJ3gu5HxAcN4fkEapz8fM+4o9db15 T7IffwBuUb5fAj9Kk+zLoN5kXX9Tbf+SPqgNzoC/zeeABdcftUduBwfn91fg P/P585p5P7AXyGdtcE4fMe9z9jhrnBK8zuSkITgv1NHY4Fq623zWcM50wN4E e7q5Hj+TJq8DfjbvLXJVE5wvajM1uD7vM+8l9tEd5r1EztqD+6XPV8xnCucJ Nb5HcJ23Ba8ja/g/d54h+Q== "]], Polygon[CompressedData[" 1:eJwt1PtPz2EUwPHP89SMSakxTWM1xhhjjGUuUf8BlXKXe1HkTuSSlmakH/wL tOaSu1xCCCH3xQ8RKZW5VBMj8z4754fXzud8zvfzfD7P85znG5eRMzvbB0GQ hFCcd0HQhxtriSn4jnfIwwF0oAzFKEILfqAQ+ZjFszMxh+v9aMRbFGAXLqAv 9SxiKlrtHTL2Xoyj9piYga32bLONLWOMoV5LXIotKEUnDiIMlYjiN9nENNxA NPl64jxcRgT5OuJcTOL6GXE5tiOEPBRHuO6PcvQiX+N0Tm9wyuYi9yZQqyMu wzZcw0Du5RDTcRMx5BuI83EaH5CJZHzCcURiN9rxxeYr9b/4g3AcxjDGuktc hI04YXtSZGswnXqDfXsJZpAneN0LecdzTCZfYXN+gXjyHcSVtpdt2Gd7OoJa DXExNuGkrYHM/Si+4at9q3zzMSR6rclv7iDO67cuxFNM9LrWsma3MZQ8l7gA 9zGSfLO98wnGe11b6YneXJ9z2puyhg8x2msvLMEjjPXaO9Ijo7h+YDUZcwj5 LXuX7MkrTOXeTuIq/MJvHLI1v4fhXucua/4eTbZXcibO4jP22Jr14J/tVQS6 8RP9bEzPWM5rTXrsI87Y+smZCKN20enZkD2ZQv7S9ka+cTB5lfWS9PQg8utO e1t6bgD5Vae9J2cgkvyK07MgPR9Ofslp78sZjyWvtr3JtblUOD2LMqdp1F/b 2qxGF+qtt+Q/4D/JdYf/ "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHv81/MVx399zqdSI3IJ3aN239yNjc22QsIqZHQvEq2LSndS6aaLSoqi aFhmErVaZE2lNreGptmMLDPN/X5nr2fn9Xv8vn+8fud83vf3Oed1zvv3bdVn cOdBRVVV1bZaVVUheYT+3CksU2NdyfaSHYXa0k+X/IXQSvphwhTpC4W2Qgfh K6GdcKZQT/1nSHYSakk/VfIs4U1hg3Cj8LHwiLBEeF/YJNwsvC08LNwkvCts FBYLHwqbhVuEXwl9hYuET4UtwlIhtNdpkmcLnwtbhVuFL4u8021Ca405XLhA enfhHOFcoYfleUJPyy5CL8vzhW5CZ8/5tdDV57jYfax3p9sGCIs8vqvP2tXj Bvqbef08j/0v9X69hcss+wiXuL+n2zjLL4VBFWvcLUwQpgpX2EbsM8Tz+wuX W7JPA9lgn8h9fuPzDhNGeB5rD3c7a41022DhKo+jbbT3YO3lXmOMMM7zOcv+ 2qdh5Ngr3cb8UV6P+eO9Hm2/9RrcZ54wS5gtTHPbRGGSMNb7XGPJ2pMtOSOx 2jxy7ekV8661ZN4MS+bdK8wU5lTsx7x7bNeZPm8/23SW26d57TE+033CSq99 nddgz7leg3mrhVXuX+V7sicxDFfgDNyBT/Bqvs/FGmuFNZ5zkMb8XvL6InlK 7MOBB4R1ngeX4S4chmdwiPiGZ3CLeIazcB3Ow1H4R+zCP3gJN+4oMl6ISbgI d+EG3CcHkAvgNFwkRuEl/CNW4Vxv6+xHzHcrarjXvajhXo+ihns9fQ7Gwh/4 e7vPQBvxD5eqOUNsw3u4fkFRw72+BrE8wPv183z26G+f9vIa/X2OSzyONQZ6 PnMG+XuC/T/VfcT2cM8Z7HGsMcTf1TzkG/5d7v1Ya4TnM2ekv5kzquKbuCa+ 4RmxNsZrjfa4Ad6f/rvczh4NzYNR3oM1qjk6zmuN9bzh3m+897u/yNgjxojz 6b5zNfcmFTXc4xvOTfZcagU8/F1Rw73pRQ33+F5hnTlwg7ie63HwY7btS99M 33lihe1nu2+s95jocXN97pVeh72Iy972M33zfS84BJdukGwUqcOfV4T1woPC 68JDRda9P1oS938qsqZ1NuAOMf5okXWCuPtzkfWAeCTm4RTx/rLwXJH7wg34 Qty20f6vFhnrSOL5Qstl1tljsdf7h/AXj99hn3GvvxWZ17jr40XWJ2LkiSLz Pv7eVmTuxq6NI+OGmPmn8GSR338tMi9j86eKrDf4pKl9S6w8U2SuxPYtIv2K T58XnrafuTP5p4t9vtJ++Zew3d87i8yhM3wn8g58J+f93T7Dj0ttM9Za4rZ5 HofvX/T4NR67xeMX2o9tvdY622pXkXlzvu/xlO94oO7yhn2+yP6u9vPDFX7Y WOHbTRV33Vxxxkd8TuJlg9fB51vt9/vtszn22zO2J34jnvraHo8VNbX7cft0 uf2KT18qssYQ97fbjn3sS3w62v7cZr/fbR9PsA+2ey682GH7VNcq+EZcE9Nd 3fasbb/CvsZ3L7idfmoEj0z48rXIeOVcvEP2E4baV7ts/9Wez9y19uUar73T 62/3PTnXf4rk0g3e898+z3Nu/0ORPNrtfQ+N5Da8Rv5XWOB+xsGvOpE1ldr5 P/fRvt5zFjgmiI2F9udbFXHxjuOCWPigIhY+qoiFT4qa2PysIha+KJLr7Ww7 YpX4eq/I+MKWtPM+KCLfCpXvhnaWhd8Qt/lexBjvg/C7HFl6Lu+D2n5D0xZ+ T9BWxzrvg7r+f2CvSL2j2/ayrXj71/P/D/Uj9U5uq+/xux0H1bG5d9S8L6iL 1MTGfqMOdVsD6/taZ+xj/kY/IPKtSWwDah71rqnfn1e7bX/rT3oOY6nLvAOo C+QD8j8x3zIyl/H/ziGRtYF+5MGuF5ytsWt5E+tDff4mzqfs29Q1uJn1q322 ZhU5lNpJ3Wzht+sUt7VwTSUvkitXekxL59nmrrOMhydwaK7v0cjnZI9WPgP8 WGuOEBO8z8iNp5TKAZG2+bn0qZGcayt9eiTn2kmfEcmzH0u/KtIPR0sfFcmp U6XPiuR0felnReYM/r880/9j3iu50n4/XGN6RubdfaV3jMx59aTXLjNuSsmq MuPsK+Ezx+XBausSmf8OlH5uZF5sJv3CyDz3del9I3NqD+xhm7dUe7fI/Hc8 MVxmrG6RfkZkvn+IeI/M2eQTciL2HK22Y8rMB+dF7s2+IyNtgR2OlzyuzBry w0j7YtsTIm2H3X4SadM99oy0NXY+OdIH2P9835M7niP9gDLzZqdIe2GrxpJN y4zvrpH35+7dI+/JHXtF2ho7XxRpF2xyqfRvlVl/jkJG5swm0k8sM1YHqe27 Zd5/mPQjyhxzdqSP8e8pkb7H759K/9D5hfji7U4N2io5NrKOXiE5PLLust5Q 7zsi8hzoh7B/ZG1bTM6IzMPN1T4xsoYtkTzRvGO9G70m5x0Yeeb20gdHxv1B 0sdH1s6jJN+KzJP3RfoGvxwpeVO4Zmn8uMiad5xklJnHjpH+SWRuPFbyy8gc uJ/6r4ys2UdLvh+ZY5dK/sjcv1XyJHN2GfyIrCmna+5lkTXwNOkXR/J+keSY yJqDr/pH+gtfDbPdPpB8JzLvvy28Hlkr2tj+cJ060MZ6a/eRh6/jbGXmNWx8 i+18pNpmR8b+AuIz8k3XWu1TIt9J35A+LfK9Arcmm1/XRN6TO7bSmEmR74xv S7828q1zveTPIt8E84n5yLfn9zRmZuT7Yy4cjazTvZ2viCVyyc2R+eRkjZ8X WdufwLeRvyFtZ5/IGrxRclNknSZ/fBGZQz6P9CV+3MYZI2vt09wv8jcqck/h /PMoMRJZ4ztE5gtyxQuSL0bWdWxzWJn2eSMynoglbNCiTDvcJX155PuFPFfX uQ5btinTntjpm2Xaqn1kPiIXkZPWW8fn79nv70bGNPG8WnKV8Bq5CxtHvj8e kHww8u1C/xqP2SH5bOTvbRuItcjf7Y7V/j/1GGSHMvV9JBuUWb9XCPdEvpXo X+3xtcrkBrz4KJIPcIHc8HFkfiCu73BsP4//w78RSm6O/F1wHTEe+X/YSVpz TmRN3pNLIvPJq5K7I99PPygzL5ATXpLcGfl7YZ0yOQx/X8H2kb8XklNPcF6F u3uXyd9d0l+OfJ/BpzfNqde4a+Tvi3tyQ2R+IFc1KjNfkWMalplnyFWHlpmv 4NP3y+QU+ZW8QE4g3r9TZswPicxZ5Kt+kbmAPDAgMkeQH/4PLAjAAg== "]], Polygon[CompressedData[" 1:eJwtlXnQl2MUhn/O+U2W+BBSstQ3lhQxY4mKyDZK22ffyb4VzVj+MsyIMcbY lRbEJArJICppo31XaZGSSqWiIqVw3XM/f1zz3Od932c7z/2ct1mPXnU9o1Kp 9IEqzMtKpQVM4uF2GIv+Bjaj+0EHdGuYhl4KF6LPgfno5bAHvRu6oOvRXgBt YDbxMrgXfTGsQH8GO9G7oFr6bKf9EwI6E/9Nu6NofXMJnAc/EP8UHqs9LAqP uQx9EnyrvvA8+iFYHe4zQe/gd/Qb4b1+rznDe16JPhm+Q++Cz7U/EtOYdgzx RbTnqg/6x/C3q+GfcJ9t6K1wWXgPi6AlTCb+C3qVPWjto+BZ9F2wKjzm++ih 8At6DZzG3I+WucfCl+jj4Wv0b3BHek1ay0jYjN4EnXSotC/DMFgb3oNyswJ2 hnM0BH0mcxxKO0451VjwVvibpco1vIneAfejH0yv/WeYiT4RJqK3wjj0CfJM 2DOD0B/DBvR14bN4GEaHz2Rv5q4H3dD78bwV/Ap7iKfAFp1Vei/KqXK5JL0W 5fS59Jq0FnlgMPqDdO5eg2fQPWBl2KPBXHtBV/Q+yrP6wtvhM5yMbg4TongE 3b/kRjnti25H/0a0XxH/S/tf2usa84u0Z3ReG2E9eh0MDu+pX3oM9VUOxqMv Td+t8TANPSudywFwA7oZ881FD4fblF/iBegRyinx0cRz0MOgbdU50N4Pp+0N p/JsibwDNxMfSzwP/RFcQXwY8Uz00LD3Hkl/Kw9uQJ8C72iv4bOdCFvCZzxK e0l7sS88oPvDeIt1d6Aj8ZT03vprTvSHsD7siYHoAWlvaI6kb7Xqs5En7qZt QbwQ/Sk8SXwtHJKuKTW8G4Eegt6f9jE4verc6wzaoF9I56IhNCC+nPYgqIEO xLfKo3zblLY98TXyEHET2o7ET9E+TVxLez7xTdoD8VG0k9I1RbVEOTmL962h d3iOI9FN4AniBmXvXaF+yUFnad5PRb8LVxE3Ip6lWiCPovet+m50J+6mtRNP R78HjxPXwYEwI1ybD6g6F6rRL6ZzoL3LszPSHpO3/gjXnvvStVg1qDnf3p72 lnJ+HPEtaa/Ic2cQjybeFK4Zn8DIMrfOYCq6U/qstaeWfH9P+uzkiQXoxela OChca1ala61qju7iWtgdvpOt6N8z7SV5eDZ6fvrfNFBnzvsu6dwpJ6pVy9O1 XzVrTNqj8qbWrLu4Me1l3cmF6TVpLfoHHMx43dO51Z2oJb4xffd0Z/oUT9QW D8xNr0lr2RauNXema7FqjmrJ9HSuVVNUK+ekv1XNbFs8JS/JI/Li6+l/qTzZ rni0afGgvPNK+t9bv9yFI6r2lu6EvPtq+l8rDx/Du+vTtUE1pCHxlem7Lo/V lTtRUzykf8VLsC78zxiuu681hZ+dXe6I7oY83hh9ddqrqkFr0jVctVtn+D9E bDCh "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgnY1dMWxo86ex/UFS6Xa3blRmTIVGaZhwyVOSFTEUkiU0JSMoYMkUgq Q5NKE5oTpZIGn6hoVJJQhov7/qz3PF/P03rW+u+91tprT+td+/Tt2bx1o5uq FAqFalULBf0rPJsKhedEPxYLhS3EzxI/H5J8tviFosaSG4pfILpK8v6iaqI2 WTqlQuFQyReKzlH/RaKLJZ8LFzWSfJ6oieQ2ohailqJj1FZbtKXoUnTUdono MsmNxC8VXS65sXhT0TWS64j+IWpFHKKrRTfqe1vRNqLr9N0MO1H1FPK1ousk HyDaSnSD6CDR1iliQfcKxwS/UnR2CrubaJd8oKiGqHXZn+h66zYX3WBOTE+K OoseEt1sXcbZMUX7E6IPJL8v2k50u8fB93sp5NtEHc3pv9VjMO/21sX3Heas 6/aybSfeQdTW8WFzbzHa8XWndW8R3WXe1rylbe7zmIzziOh+0QOiB21zt2hc inGY4wTJ40U7pNBt77g6eTxsujguYulqzvwete9O5nfY5jG3MebD1iWubub3 O462XpvujoVxpimOIayx6BnbY/es58OYPdzGd2/R09Z92vFh85x1iWUn+Xxc /AVRL4/3lOgV2+HvZbfho2cx9NnrF805Fy+ZY/+q7YjrbceBvzesxzgTU4z5 uqi//eJvstoniXYRDXAbNm/ajljmYC+aJHrLbYzRx2Myv4Eek1gGmdP/ofxO Fe2aYk5dvC5T9N1XfKhomOPqJ3q3GHEQ+yjHwZgj3cb3BNE7thvh+WAz2rqs wRhz4hpXjH1krOEeB5vxbsPXWOsS+8eK7SPRbin6+jq+iR4THzN9LvA91fER 7zTHwfgfum201264453ieWLzkXUZ/xONN0O0u2iWfRPjZNthM9ttrMF07r74 DGyLIRPTp+4n3s889mTv7QDPfb7jJsbPHTexLHAb3197PPzNc9zY7KFxPxb/ QvSt5FWiuaLFXhdifzyF/XrRErfha2WKeL8UfbVJ7IvMsf/GY3Lu7k2ht1a0 wnEQ+yrHSuwr3cb3Utsx7+Wiubb5j/xUEK+odYrYV4seSDH296JltsPmIc9n neh2yQvF14juShH7d8XI/WAFubpbinn+UIwcDyaQx19OEccGUb8Usf4i6pNi PhtFWfJmoiqinini+Fn0Zop5/iqqKfk38T9FVVPwv4qBucz5J9FgyYNEBXwz rmi+6FZRW9H/pPNUivUFo0ses6pxGDwEw8BfsBrMBk/B3r8xOAUmg83DuBui Ygp8B8/BdTAX7AWDwVywFwyuY8wEF6kBqAuoDw4wHoJ/YDv4DE7Xdl0A7v4z BQZfU4xvcBDsJI+QI8krZewsYykcHAIb3zOelbG5hXXJ9+T9y92GX/ay1Sa+ ypgGloJlt1kPrAQ7z0mB8Tc6ptbWbWm7Nm5rb3sI3OnoPjDqDo8DDpWx9C73 ETcY16FYidP4+lcKnL6nWInx97of/Cvj5/0eD39gYCefb/LBFI9RxswWjolx wOFxrjMYm7z9kP2Bdd1sB6aVsfdR90HgQo9iJdaCg/9OUbuAZ/gFv55wXxkz O/q7q+16uI+xu9umi/e8u8d8zuPhF1wD58C0icaYMl6S/3ZOgcHP2wdY1qtY WU90sd9etulnfz2LlRjc0zGBd73dj97rnkNv+0Wvv/uYx6u2IdY+/n4hRc38 k8cD4wbYHiwr4x8YMsr24BTYBq5OcY3S223oMmdwa6hjGuZv4hjub8YAT0YU KzF7oMcf6b7+7h/uOEa5D4wCe6YXA3PI2+RxMHOaMQlfYNoYxwFmjfPY4BL4 NMRtH3iMSe5jzMn+Jo4p/mZ8sGlqsRLjR5umuW+k+6e4/yP3veMxx3u8mY4b nCEfglXg2Ern+gnum+04wIU5tqdtlmOa6z7Gm+dvxp/vb8YGoxZ4bnPsd88U OFrhuBfYZq6xCXwFa8CchV6nWY4bApvKmAn/ynExjyUeZ6nnNsttix3rMvcR 63J/E+sKfxMLuLPS+4pvMA/cBD8rHOtK24CPYClxg9ffWR9sXWt78PR7x0pt 8INjAr9+dJxg03rPoVYKzPujGNi6zvH39F0hfrD1Z8dfT/Leot+LgXngI3h5 puSTRf9NgbkbPEeweKPjB2d/8XyWGyvB1uPE9zP27JviTQtuDTJmogN+gqM5 VWJzFWNjyXr42NJYBsbWMQ7yXc2Y+4d9UQcs9JjgyeW2QR/aylgJ1XCNAW3t OgSiJuE9+5X4vBT15NfGC3L5CeJ1nYsPTvF2BGfIn7SR5+qnyNe0NRA/xHlz Zoq3AjkGHzsYI2anqPG500utS16ck6KOft9xbevYTkzx1ucOHJXiPlT4bO3h O3B4irqNM7dIfIFoL9EpoiM2OR81vfas5f5eT84B54Ga51Tb1PI+1PZe7O1z gc5p4sd6r9jnfVLUJ9Xd1sz7w3h/eh8O8F5w/tv7DjCnI1Pc3+29vu28rnW9 VuzVQd6vnby2j3veh9qWeR/mNanp+XKeR4nfZF+sST2f+ZNSrBdrhb/69nk6 8/C80WloPdqOcTu+j7Z/aq3jfP7Y/xN8Tvbz+qAPhjbwHrNvJ3ofWcuTvZ74 OM12h3mPmcsZKWLa0vtxivcR32e4ndrm+BTr92WK+0CNRU1JPUotSg1KnUqN ig51GPXhlSnqyMskn+t2ajPaGrmdOrWx97dJCpn6FV/UsvQ3sQ216AUp2su/ X2FT/l3rAtuiy9jUr4sdL3VguW4ux3uR/dB2SYp6ummKeVE300bfxZ5rU8vU 0Jd5DZqlkKmtiY86m/6/fdvnFSnam9qumf3TdoVtuQfNU+W9uTpV5qdrU5xx 3jLXpzizdX32uPOc31Yp7jT5kjcG7w7uRIsUuYk73Nr7fnMKmTvC+Wjrc9vO trT95faCdbHhPN9iebX9tHH76BT22HYQvztVYg/YCW5yL7mf4OidKb7LmHq7 Y6TtDvvHx132U8Pzb25/d9uWeG9znLTd43ZwDvxj/I4p5LVu62if91tea537 3A7GPZIC58DNTtaBP7iJTB84ChaCqeBplxTyOrd1sQ68q+XO9om8xOPh42Hr Y8v4tIPNixwHc3rMsdEONoPfS6z/qG2fSNG+3v1PWL+75fXWedLt1NfUlNSb Zez/2vxp68Of2USmj1oB7KduwK6H9Wmnjqad+gAcBZMT5zPr/pUiD6HzvPWp Y8FI8JE8QR7h3i60TD4Bcxb5rNazDAbNsy01MJhHHU6dCwZSl9P2ueXXipV+ wfQ3xPunqDmomStS1M1g5Rei93wPlntc+ArLvGuWpXjbzLcO94Z37pIUb12I HET+qe5xr/F88U/tPtvjDnZs6JMnl9o/7yNiHJCiTnpNvG+K+mmd+KAceY+a 6jW3U5u96PWnxqI+ozbrnULe4Da+qdtW2H65/ffxWK9aB338vWSf/bxu6PTy WPh53THQ/laKeo7fTKhhkVd6Lv285rS9ZXmgZfSp1ajtirZBf4V9vm39gnVY 8yEpfnMpeD9YO2qenSyzhmAYtRfv9OneY2qhzyyz1z+ID8uBC+zLpynOEWeM 9wD1wDTvGedqjfjqFG8V8hc65DP84Zd6a738/eV9p16Z75jBVWoS4jpOOn/m qINq6H6ckSM/VZd8Wo6cuoXkU3Lkzm0ln5UjlyTJJ+bIv/uKX58DF44R/1+O O1JVOg1y5O8jxX/NUddsSWw57hN63LHffNfmW97d82fuK6zD+efO/f3+LMZZ nuE1pC7lvnHXplqe4rX/xuu/2HeEcz7OfdTD460zzv4+sc/VviszPNYcf3Nn P/bdYdxZKWriT71HtH/r+Kc7N6DX13fhFZ/b972vvEcrbMt3hccY7Ll86HnN sh/k3ayDj41ay19yYPMgn8mi12Cm1+FM9W9TCiw5XfJWpcCeUyVXKwWGNZS8 XSkwo7HkXUuRf8+TvFMpcjd3rqfjH6D2fjnqqnPY/1LgQUG8Wo568Grxw/U9 QvL5kvcoRf49WfLmpcDds8SvzfHG6iv+XYr6+zLJ+5ciB60V9c9Rl30vuXOO Goyzv8rn/0LOXSnyxaX4K0XOqifeI0fdeYJ4lVLUEBcTYyn24yHJ1zmGo4kr R1280ndthu/vau/pGo873edkjeVVlrFrKD+tctTj3IljfS+4c8f73s0Rn5mj duT/P2/J8QZojp2+h/occZ6YKzh2aw4sGy4+JEcNOlj8rRy16UniuRQ1ymjJ I3LUhh+Ij8lRY34i/lGOWvBo8e45avdJ4uNy1J3TxCfnqB1XOQbmeLnaDixF Trw9x51nXp3EH8zxluD9y2/Em/s8DvWZ5P5xD8Go4dahvWSbza071u30j3D7 WNsUTeiTs3m/gn+8s9B91/rcyUm+d3D+r4uczF3n7nPfyVncf95lnZ0X+K0R X8TIb6tL7P9G26JPPsEveZ/f2MBMcv5E90+wzjLH8Lxz78gU+Ze9GZMCO1h3 alnq2I3in+Z4pzws3i3H26iB1rtqjjfZPZydHG+1XuIvW/6J85xjPTqI75P9 lpLtZpY35MjXzLuj+H453nMnSqdo+T5wIMc7lpxd33mbNfjA60A+Ji+Tr3kj 8i6t63vI2acGZn5DPMeDOTM5cO1Q8bo5cthpGneLHO/I1xgnx/v7CM54Dhw4 gDyQYz9r5Zgnc/yRmHK8j74WX5Lj/+dryudFOWqEHSWfm6OGfVH8pRxvYO7K QN+XOtJplqMueztHfiG31FX7lTnmUFty0xy1xs6SG+WobacQT4q31UFqvyJH TcG9meq7w32a4DtVIgfmyO17Sv+CHL8B18uxFqzDDTlyB3mDnER+JC+xV+wT e9QTuxy/b7GWrb2erNnNXjfW7Eav226ya5KjXiY3P+/8zJ7c5H05TDpX5bhj tSRfkqMWW8/+5nhXzhWfl+PdyLwn5pg7eeU95xbqjl1y1B5V8J3jLvys9g9z vD03SJ6R432aiTcHriXmkeO+jM0xNuP+kaNuoGb4LUdNTw7cnLOTA6/fzVFL UUf1lvxIjt8h6D/EOuTa2Tny7fgcZ4jz83GO+IhtVo74iI0cOd15Eox6Pcde DM1RB1MDd5XcJcfvKeTakTnyLbn5nRz5mT0/yPt+bClyJXmSedfx3GvnuOfc 8SclH5XjN5v6ajuyFLmD+93S558c0Mt3/wfiyfE3LCvEl+f4e5O1nOccb/Vl rtF5P61R2+ocf8PyCuuQ4w1EziBfkCuWSl6W4z2/SHxxjt8FvhRfmOPvaBaI z8/xtzwV4l/k+B1hlfi3OX472F7+zs7x1nxOvF2O36D2ynHnue9PsX6l+D2I muLNHHUFur9bv30ObAaX+3A2c/zG84b4EaXImf8HJrkpcQ== "]], Polygon[CompressedData[" 1:eJwtlnf0j1Ucx3947uch2TOrjIgQ2ZSQmaRkZGYWDetoaStCEiqVFkUHRRKF ktPWUU5Je+9CIUmU6vU+7/54n+/r/dzvM+69n3FrjpzQZ3zhgoKCTShDGwNG FyTEhV/g/ehyfBk0Fp6FTofPRo/CS1Bv+Fz0E7wHXQqXRo/Ai9EZcDndA5fO CwpuhWegZ/BrUX/e1R9fFW7C+Gr4MNeewK9EQ+E+XPsW/hGNg0uhDfBzaEDm b74ffgD1hOuij+HP0Ri4BOoEF+L5E+HJaAj+JPxS+HG0Gf9CeO6DdA2ujYrB 9dGNcAN0HNwGXQ535v7X4GqoJb4VOh7exjPmwZNQc/yZaDzchf9vhaujCfiu +G1wDTQMfzJ+ObwS3YJvjWrC7VAd+F7UAz4LFYLvQB3giqgIPBd1TP7GEXBT nrcGfhpdojH8y3Al7TG+Fv5B+GH0Bf4bdDFcEo3T3jG+BS6P9uH/4bdsckxk +DtRJ+0dGgSfyP8XKzbQOvz68N5qj/prbRi/D78IrcavQv0Y64vfCX+ERsHF NUe4BP+/CZ6GzsGXw8+EZ6Pbw2uitWiP/oLbak7aCzQHvgd1T45Brd2h5HjS Gg7HN+Z5TybHXLHwnmmvtOaL4NO0Z8kx9Qb8OhrE/cO0J/CDqBfcGdWClymm kmPmIfi+8LfoP3fDd2nP4W5oB/weGvH/N70Cv4qGJL9jK/xm+F2D8W/D29Fw xS7+ZfglNDDzPe/C74TH9Myn4DXhtVWOjVIsMt91+PXoIL5eeG+bor5wNcbv hheiF/Fbwrmgd/RR7DM+D78A/av40J7DrVF3+BjGr4NvQAfwvyn/MteIheEa otqh9e8K5/z/aniqagi+In4OPFc5g8/wU+Ar0Fv4beG10Bosh1eEa0NfrpWG S+WOlV/xp+vZysnkNVcsF6ieZY7ptrnXQHPfkJw77bi2MTmHWsGtc3+r9uca xtvjT0t+ZjPNVTUDXpv87b2Vk8lzWABPRZuSYygYvxb/PHxlcu62yf1u5XBL eIxqGvysYg7fPFwbdiof8E3DtWNHcm6PDL9bOa7c6oe/PznHTsBXwB/IfE17 Pzr8bMVAeXwZ/F7GZyXXpsAvzVyjVNuSnpe5xvXANw7XuncUw/ii+M2Mb0+u LYXx12euMaptuWIwc437G/2Mv4TfU9CucM9Qr9C1veGeo15zmWoQ95fSNe6/ GX8YfYIfzW9DVCb3nmuvpyfXih7h/6pmqNf0DI+p5xTFl8Dv1l7ivwrXPNW6 i5JrS6/wWqjGKJa7aT7JMV0cXxK/J/M1xWbn8F4qRqvjyyvmGb8nOba7hN+l GP8+3MPUu8Ym96KO+EnJPakDXJC7dymnjiqOw2vRBBVm7Fj8rsz3/Inex4/k twH6C30XfnZjjcN/hGv9eNQGPoJaJNdIxfqh8Jhi/tNwz1Sv1Bq3h4+Gc7u2 Yha+KsxHMteK88NzVc1QLxmAfyi5pxxBX4bXtlHy2hXLnetaw93hOWpuOjNM C/dQ9c62ioFwz1WvbYYma2/DY+qpqu2zw7VfNX56+Bv1bcrRKeEeqt6pOSv3 HwufVVQDfgjHpGJRZ4qvw2uotVMP/Cw8B327zhBNwjmo3FNMNwrnhHJBOdMs nLPKVeWEYq1I7rOGYm4G/rbwWUI9T7Uh5a5tqhHqpZeG56qe+mE45hXr6okz w3uuvdYZTLlxbO5aqxxRbMwP9yLFSA34pnBvVg5Xh28InxWUo8r9srnPYqoB DeHjuHYIXsG1uvhK+IP4Jclnk6HhMZ1RPgj3bPVqxWB9xisr5vj/Mq0rvoq+ Gb8q+WwwMPwsnRGq4Mvh9zM+P7m3nBdm9Zja+Ir43zPHlHr1heFnqWdXwpfF 78tcc3WWGxx+t850qrWn5j77qObqXZVz9xa9U7WxRu5epxqp3K2au7cph6sp 98NnV/UwzaVR7rOZ5qR3V8h9FtE3aK3q5D5Lac3UG1rk7rXqEVrbBrnPmlpj rVW93GclrZnmWjP32UhznhiusaqtOlP+B331V6w= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0sk60FEcBuC/IllYtGhhYWFhYWHRwsIdWLsEF6B7sLWJCBUSQjLLGIoG QxEyFWWIzPMsw+uxeJ/vO+c857c4z4lJeZicGhIEQTqJXPcwIojkHveJIpoY YokjngckkEbT9X0DGoObQW/FLZkt+2jgM+H2HssnfOSu9SdZxwX1XJJFL7ed h3Ku13JGDf/p4ZRqjqnihG6OeMMBlRzygX1es0sFe7xnh3K2KGObLjZ5xTql bNDJGiWsUMwqHSzzkiWK+Mc7FnnBAoX8pZ15Cpglnzna+MNzZnjGb1qZ5ik/ yeMXLXwhl2ZyuOPNwsjUJ5lijAnGyWCEUYYY5juP+MYg/XxlgB8kBTf/5Aq9 RFxq "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{266, 265, 269, 511, 502, 503, 501, 505, 504, 403, 507, 508, 506, 510, 509, 404, 513, 514, 512, 516, 515, 405, 478, 573, 472, 500, 425, 498, 424, 499, 402, 268, 267, 266}], Line[CompressedData[" 1:eJwl0nkv0HEAx/EfW3fSJelQSCJdokPWoYR0yEOwtfVXPZtQOolNlJAUlTOi S5dJllKSTs/Ay/zx3uvzx3fffX/bL6bwfMG5kCAIqpVixOqMKrQrNAjeMJX9 TONN7uRr7uArprCc2/mSW/mC21jGLXzOzexjMm8wib3cxGdM5HUmsIfx7OZG XuMGPp1+I7sYx6uMYSfXsYPreYXRbOcatnEtL3M1WxnFJ1zFUq7kY67gI0by EiPYwmVs5nJe5FI+5GI+4BKWMJxNDON9LmIx57GBc1jPuSziV93RX/3TmD7q i25rUDU67HymLtizeYuzWMWDPKQ/9gHuV6X9Xd80omp91n/91F2Nq04TmtQP /dYv1WpUQ1rgvnucz0Yu5Cfu4Vvu5jvu5TD38T3T+YEZHODZ6e/QEWXpqLKV o1wdU56O64RO6pTydVoFygyZ+VenAMIsVWE= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{581, 580, 701, 806, 952, 953, 951, 955, 954, 1077, 1078, 933, 890, 922, 921, 816, 1005, 1006, 1004, 1008, 1007, 817, 1010, 1011, 1009, 1013, 1012, 818, 1015, 1016, 1014, 1018, 1017, 819, 1020, 1021, 1019, 1023, 1022, 820, 1025, 1026, 1024, 1028, 1027, 821, 1030, 1031, 1029, 1033, 1032, 822, 593, 586, 585, 584, 583, 582, 581}], Line[{700, 662, 931, 930, 939, 913, 938, 914, 1085, 949, 950, 947, 948, 1099, 833, 1076, 888, 1074, 887, 1075, 889, 700}], Line[CompressedData[" 1:eJwl09VPl1EcwOHX4ZViInZhgIJ5hYSALdgoYgd2gX1jd8dmbvbmjM2+tru7 W1Gsf8LnjItnn/M977t3v+2cX0JRSX5xhSiKSsmNiaKrLOIOedymD3dZTOWK UdRPK2l/jdUlWl0HajUdpDV0mcbrEK2lBVpbl2tdHap1tFDr6UptrCO0kY7U JrpKE3SUNtXR2kzXagsdq811nLbU9ZqkEzRRJ2or3ajJOlVb6zRN0c3aVmdp Gy3WdrpVO+hcba/z9AIdrRfqcU5wkiNk2N+m6bpdM3WP7mU+C5jDFnp6lqO9 KCHXPFtnsoke5uzwHtPpbZ6hU9hAd3NWeI9J4TvmyVrEOrqZO4f32M14utrL 1MOsDudrXqO7GEMXc4YeIs26AQ2pz3B7K8ixTg/fZyfDyLaXpgdJte5EHIPN NTVfl5IVnul5znGWqvaqkBp+HzsYwClOc4YDHGUf++nLsXAm/OUfv/jD73B2 /KSM7/ygNJwxX/nGJ77wOZw5H/jIW97zLtwNXvOGF7ziZbhDPOM5j3nKk3Cn eMgj7vGA++HucZNbXOMG10niMle4GM6YSzHl/8P/jd9pDg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWUlVUYgOEfGULpoUElhQGkkdALmhlgAoYUUVwsFy2gwJ3tspC8IC7o BpVOpRSQEBCUDgVUUtrAQp9vefHMe/Y355zZ5//3nCr9R+QOz5MkSY4fWSlJ kklaviS5zsL8SVKVBVRjEQPILJAkA/U93uWm536iy/mYlazglvlqXcMq1rGW 2+YbdCPr+ZRN3DHfrFv4jG1s5a755/oF29nJDn4x/1J3s4u97OFX8690P/s4 yAF+Mz+kh/mab/mG382naXU+ZCxTGMccZjOLx3iVh/nXa+7E3pjLPOaT0NL1 Gaw1Yo/UjD3xpHkLxnuch1Yep+lrPMIDtDYborViv9yL/fGU+QTNSxuPa+vr DCPLeqhOJIW21nX0DR4lH+3MXtTHqUdH67paify0tx6u9WlIJ+sGWpkCdLAe oY1oQmfrxlqFgqRbj9QnaEZT3uJNXibb71/SSTxIhnVzfZvR5FiP0j9pwR9x vfiLMUxnJjPiWjCZwnHNvK51XE9tE9dHi8SetH3sXTvE39SiWkjT9SHNiPfQ YlpUO2oR7aTFtLiW0M5aXDM1VUtoKc3SkpqtpTVVy2qOltEuWk5LagXtquU1 Vytqqbjv2i3OlHaP+6Wl47prj7g/2jOus5bRatpLq2rvOLNaNs6aPh1nVPvE mdNycY70GU3Tvlpby8c50Ge1jj6ndbVC3H/tF2dEn9cGWjHuh++FK5xkH5tZ wXymM4F3eIXRDOMFUv2f3OeW97jNdW5yg3/Mr+nPXOYqV/jb/KJe4gd+4sc4 C+bn9QLfcY7v48yYn9GznOQ0p2LP5sf1BEc4xlHumb+vHzCIqTT3OZuxzOOP WMxSlsRePb+7z9KNXLrShRyyU/7/3vwPPveiug== "]], Line[{1319, 1277, 1281, 1285, 1286, 1287, 1288, 1463, 1637, 1846, 1636, 1844, 1635, 1845, 1660, 1843, 1634, 1841, 1633, 1842, 1659, 1798, 1604, 1796, 1603, 1797, 1658, 1682, 1596, 1690, 1691, 1689, 1547, 1792, 1600, 1790, 1599, 1791, 1546, 1789, 1598, 1788, 1597, 1655, 1654, 1669, 1668, 1854, 1657, 1852, 1656, 1853, 1683, 1684, 1351, 1319}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlnk01dv7xxWSKHRQoWjAFUpJknhHhSRTSoqrpJHSRUroiqJkDGWMkumQ sVBEMkZCJEk3nGM40+dzSFKR3+f3fdbaa6/X2n880977ea928bA9OV9AQKCD Wv+/35YOieFOkjDSXKXuGDWF3jVKbGVBPqQnXklJ9X1Hp1BLrJkYH1fETZp+ KH2HSZQfeFJ8lBMzLGufSRyJsVm3dhkfli9LOD693zD2qrF9Wo6PSKUbfoIm 3+A0P0HbfyUfKZveLqp/OQHFM11LclfxocmQ1BfdNwHpyGjjXoolPljV0b6O o87YcXApxdyuAiFr33HQz58tPq7Ax6mjmjb6K8bRNqSxqW0FHw82XIk4Xs2H 3RqvZCdZPhT2e6gePcPHntqR9lM0Pj6E+RQmafKRaZrLXyDJx8OOfzoWsEmk rGA17BTnU3FL+I/7kxCSFhZdtpAPG9lTdq9oJOQ7tU+GU/kX6mf/MSog4Idx 69fz+TB9fyenLpXAtOah7O/z+DhmfJjlFEHAaNNJNxWKnw8qR0oGEAhbKZ9u J8CH89NPrp/dCSzZ6XUdFO/rFWkzcCNwS9nEcT3FC54neqafJRAQE6clQ7Fh adBBwTMEQmrlEhdRHOGyr2fLaQIC/zMq//8ZgVh+Vh17joSvF3P8/kkC35+K 3fhA8eGDT8PfuBIgttr8oVN8e+HkgMYJAj8uRLkFUvx7/3nP6OMETJhNrQcp toykGU06E4gvFqnLmSUx36/8/KgVgcmJJPrUbxLL7BeZT4CAv7DbLfwisTjx d6a0FoHBJBeX4GkSSjFdNpZKBBbO2a7/j0tiOHtmUVMVDxOq5QUeAyQyK5/Z djry0LhdfMSgi0TA0mNKRgI8PP0Wn23ZQPmX8XbiZXFReicnL7uMxMbXy0sL rbnI3vZtuV4aiSU+zgtEujl4YBtlYhpCQixVL/SxEwe/B6bdmW4kVpe3q6/m sVE8qKK7xppEyAHfQ4pBbCxXndcspU2iZdHL/L0KbHjQr1bXSZNompnRsq1k gb5vyCF5jICgDX+6T58FofaAhXYvCGxat181tX4Mn85vE5ENIyDcrXJi1m4M VftCB0UOExiTsC67yB3FZIBMoOU6Aio6Qa5Xw0ZxMb5m62KShzXkZxp9wygM u153nqzgweTYG/2k3hFszx9hmZ/iwebBJb/LriOQ2a6b+FGKB1u/DPVPv4Zh bV9NulZyUaCssPtr0jDe5o4ImpzgIuarUWD9rmFo7nDf2izKxc/xhO19k0ys n57nrV3IAT2oaeHNJ0xIJP7wbjnAgR+dTeqdZ6IugLlU+ysbzUPjluuUmfjX 80Ocwjk2HhpfohWNMGDnvGoHMcnCigDtvTLFDCgb0pOEAlm4xWydeRjMwKmY 26YlYizoSr1pLXNigC52MWJnwhjCkkaX1hsy8CmgaylfeQyzAVMJpioMxE29 uKERO4rucQvaAQkGvPovdCoIjiLFNNgmZR4DjVt8ti33GcGazHTd/TNDkBTg 9Lpyh3H4gax0xp8hZI60R+udGkZUeoQ7R4QB0TtVz2sYTJy1Eb9wfRkDuwps 66RPMtHMTBlo1WAgVHtOT7GBgZb09bFO1gx4+Bp+YagzcLeh6v49PwYuOrDV jyUOoSHhT9rxJwwopEzm/7t4CM93lLZXMan4fbNCFW8N4lK0oVSFEhPVqxdl SIkOonFGjOZ9jImBLVvsFaMHUBTZULU6g4ny4ca58p9f8cSHM7t1hgkd2Ysu CcP/wcB+Wi7IfhhH3N7mvhj6AmWRgeGq0mHkGsWpTJH9EByMmnorMYJFYdrh yuL9WJUQxH19bgTEX5XSGls/47lL+0xv3Qjsigo0frr3QVZYu+Gi3CiuBB4i wwo/wXeZuYfkhVHYV4h67W/uhehtu3vooc6Vzp9PHP8ITg9L3HLbGJh9jnnF ah9h2T1yYEHcGBTGjv5e6NED1+V/7T3HGkNcobkFXn3ATYcO08xtLGhhifgq hQ9ImVzGmrvOguUhmY1x17vRKCFe/KGBBTmH+aolZBfcg3ZXhwux8U+b2ZdT N7rgVPfrYu0mNjR0fKU9V3Zh1GuP7WFH6p5N3RQPefEe4c5+GtdvsDHaMHrJ 8eh7mGkLkWfpbOR1uOc+m+vEg2HVbYbv2Li103rCPrsT12RTRFX51Pu9HcZe YtuJaQ+ndHNJDgKD4jdt4nZA8IPaF0KHg7EI8WuXwzrQYd7w0cKBg4yrs7sS NDqQE8demHKVg95/xqQyHreDFOv4tTiJAwt5m872qXe4J8Ooe1fOgVyR99V9 Vu+whn05RJj6T75EdE6PZrdhw0Yr/zckB65abd2BC9rQKHDrmuYiLt40ziVW nXsLAbWoEqu1XAgYns7c290KsTKL5+b6XOTfE9f7YtwKzc61a7baciHfZFm8 uawF/7JFOlXOcDElE7vKZegNYuR797Xc4uJC6G3nruVvMKUsucsjmwut3rKF rw83o0q+R8q8not/lKxrrz1sgvxZYZXQr1zo7zPc5j7RiMwIrTsWP7lQGjek z5g3IkD3rmwl9W8o0ncb7i1rQGudjcguVR44T9w/26s2QKvo+4lOfR4qHvGc ulLrkZV/bvqyFQ9LvwcEnF9Rj3cVQyUmLjycFt5C+y+xDkYin8b2efMgq/jr ytCqOsi9H4+Mu8nDyWDyh3DSa+RNGc+qJvCg98BayUruNWwtk5s5uTyID3i2 e6XVYsRWLJz3godO9sH4jWq1aKgxztBr5VH1cVPdVf4KM8nvrD738aD/2z73 wdZXSLaiaVzg8mCxt0XnkU8NxBj75zbP8tDQR6ughVVjR/zu27qLCaSa/fCd zXqJDM3mPbcUCBw8PZzX87YKK+YMYrXUCUTn9doKZlaif6x4429DAqPOPUY/ w1+gVcx0KN2GAO2Qv0Vk8HMEBJ6J06Pm30+T2f5noRVIrqy73OdFoCNVm/BP KId7QWXQvWAC9F6uoMizMkjFJ/Zdu0vA3jMWZ23L0CVce2Q8gcD67msiE+PP YKK+8YpBGoGPZfQFMbHPUKjX4uOaSWBdv3j0Vt1nUD+cF3w6j8DQpeHYrv6n qNm0uca0mIDBY0LhvdtTyMqG3E+tIHDjqI1Mz2wpVjw+iOoaAnt6c2rr7pZC 5VNifV4jNYfm1b0MXF+KkTWWcmfaCHhu+eKWm1KCaadtLRE9lB55lC7BopWA /JHy7chXAlbHFi2dH12M/o49Ut2jBL6epSW/kCzG5fiug7MkgS8+uqf644sQ OnQ/t+8HgV66Tq+HfyF2Bmt9TRMmUS+XbRg8+gQWIU2SN5aS0HKgDTDO5UOc 8etH4ipKHxWuEK8QyoPQnsB1E2okhkb/XelfQEfizQLTfA1KJ+TYbg9xoOPc E4lnRzeSYLUZ7e4QpiMjZSJLYDMJfomyiV1pLqrmqVklbyGRaOx2QdwlF6ZH fw+q65LICgyS+CaVi9riJzEleiQYnJDbRGEOEtvrvd/sIJE/pyOZZ5WDwmmy qBMkPE83Ra4az0ZfkEJaqzGJ90Em+ojLhl5MdVz5HhLblhTHCupl4+/5Xcx4 MxLHNp+459KSBeEEWqWEBYk7mpX31/2dhTHn4JpLViRqnPIM9CYzcXHF7sBm WxKfduTVRIdnQqLdJmThISoetVjxrqjH6LdK65lwIrHubxM/8/QMnHmxXffi SRI9rVFiq18+Qv2Ma1eoOwnluSNmMcMP4ff+sdlOLxLR38YNhpc/xA62Q0Ga L4m9pkeO92emQy3UMU87gMSgZJq/ztZ0eF+9IpUfSCLZ61rA49g0GPccHxG9 QWLcTMhRvfYBZLMzFS1DSdzLiq8K1XoALa1gn/DbJGiaKxk9j1IRt2b9x+o7 VH+6DfIWLE/FUufIyOEIyr9LgL9wdAqu2ZqNCESTeFN1dHa/ajIswxSM78WT ULw77Cv7PhE6G4o/9ydR+rjo4QHVqAQsfp3c+InSYYpv5w06O93H6N/V1TGP KZ11cIPCM/17iPxLQ1A0l0RzL216YCweJc2hZVZ0EmbGZ6OP3I+H+/40nZg8 EstfGLHkTeMRLC8W15ZP4pHTbxXF6ThYzpiyhApIRFwtSMvJiUPrWgcxw0IS x9+u9fQ5EgefaQ8FzyISqe2010GL45AieHzLw2ISovTwrqbaWCSHlJ1rLaF4 t9qfSYNYVKznO7x/SvUzcq1Tx8u7eOy3PrGF0pVJ2aWLnb3v4oD3riBOOVVf U3W/1Rp3ISVflC7ynMT/AWaTkkY= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdl3k01WsXxyWKKKlUhsqQqUIKSbnfpJIpXWlQyZBQpIhKQrqZCtfUYBYZ o8xjiKJCpogcs47pnPP74cg5KnnPffdaz9rr88ez9t7Ps9f67i1lc830EjcX F9dXzvnPn2lxtX8yy4KAQ9728//OodKjnttgjoXdu45Fv3Sdwza1h7LNS9jo XFW7ti31B5xu1QSYCrCxsdSObjw2C5WI4ZfUNWyskk3wilefxR7V/VmPN7IR HiHFcvmXiXeuvyvEJNhwTqzQ1uZhwr/n0pzaZja2CKpLRN2bQavDywQGh2tF 1Se7l86gT+lXozGHPeODQnxCpsGrLeR4gXN/yCFpg8CmadipSOkoiLJhuomr SCB/CnrsRV+p9Ww0/Rn8bHt5CsMBkdbenHyc1n4ZkpOZwuheiV6dVWw8Drzo Zl9F4viJHqozPxv7M7Y792uRWFLu4MjHw8bu2CZN7woCAdHDpTJL2cimbqEv pBM4o9D+YB83G46ivlufRBHwLVrSbsJ5j8ZDVYVHfAmIBe1JseJio6rf+LqQ MwF57Aw4ymHVusTOrU4EVC0O2+zksJuw2W2tKwTMo2+pbeRwxH3LM8cdCJSK nBEX5LBjXNnpc/YEuP5vbNj93wh0yBb0MxdZCLy0xd3lEoGJKKWKsf+4TzHy ri2B/q1511o4vP1CPyPChkDgDVPxkv/Ytskv04qA8p41VQkc3lc2fvbtBQKe 7ALVzD8s2B149inPkIBhvdHO3AUWjF+ZE+WaBLK7E98U/GZB6qtRAkWWQPwJ 128Fv1igy3a+WruWQEnG+otenH7h4xufzYti4LTb3ZOZdBYOLS1ebi3GgEKE z+Z931k4TiYfmU6h42D7LRkNCguRTumyGqp0zLLUauLbWFjQD5rnraVhyN11 69paFnzdkrRiJGl4d5ZSapjHAj+z8b2j/yT0NGVSTBNZ6OwOruFnToCccezf FczCH8rwsZV2E9BSou1n3eL0b4KQ8caBcaz2Zdpn2bDAszT3WofFOPg7KidP 6bLw41vu1Hj+GLr4/HqlpVmgrVLKThMeQ0fBLhvFxTnECZsZWHmMwmFdEI9f zxw0G80WPCaoEHxO5pgUzkHKrfwve2sq8h/oZyQHz+HystnBjMHvcGBWxzy5 OAdm/OLlRrvvEP6e+A9Tdg714wfsG2tGYNj5vHmC+gOu49IRWoojkDFvHHuT 8gO5uQZ1EnHDyPK7o59j+QOeT9l2EaLDaJ74484W/YGHA1aaHUlDiMl1nO1u n4XnfulRFdUhSKZXHvd/OAuDhgZV3oZByIp3xFxSnkV7k2l5wYlBXE4mINLG hOHBaxq5bQMQj0q/QroyEVBHE5cUHsBkwzs9vXVM1DTecttq2w+Nw8Nal4tm kOYdFnvyUx+S/uiIx56agZp2qKkL+nAiSPSWBHsac97Hl56q6wWTKV046j0N 2YWfpee0e6FlrDvNvXwaQj5yG4SaKLCQIBxaw6bQ83irYsk1Cj49uJeXJDGF K1k/5JvlKCh7LVjkcpKEnG6A+E+yB38rDS9PvUlAXZcMXdbQg5inkl174xnY sb95y0BBDzYvHs9NCaDjo9PRwW05PUCKn6XtXRqupqjs2FnVg+6G+0ptnpNY VfKxU5Hag4jg5TOi/hMwtGxQ9ZakwFjR7+2x2HFstqPUFDpTEM7nMmdbMYbp 9dPXrzZT0BV4qHDf6CgU8qrVzf/qxRovI8efbVS41VNj46Z6obf+kTVv23cc 9zPbPVPRhy06Ehn/DI+A1eR3Tjq+H4Hd33b68o7AI/hiw1TYANxfHYxhaw4j 1ym8QtBgECPzNfIUzyH4BYy0ZrYNYtveDNUNnwex7OrWX9kWQ4hCsEH89kF4 /OQ64kkfwk3exeiPOwYglCOaFnh3GBSqNqt7Yz9KV05HWwqOYFQ+kyeqpxeu hzP51lSPIEm8/MulMgp+H8mRmHP6DjFVxdTl+T0o3dZ6VGwdFSmJob+9a75B +ZmE/UI+FbfH/cI2UbsRs2CeEXp0FEoHx3l9xLrx7d6XX3IdozDelL7Cz7IL B6UV73udHMPfvZFXTPO/glLh2P6saQxrtN52zdI6oW1dFFZsOg7vD35fM9U7 sSfyp/jFhnFEJI0I7ArpQHGDBL1JbQKBwle6s6e+IElFPfNw5ASK6obCgy58 wVGuR0fkxyawOab18p3OdvDzLFlbozqJJyYXBS6btSNNcfMLQ7dJDCY5jTn1 tIEauEpq+PUktiXmi7h4t6HU0iS8qmcS2s+aytfLtSHBTq3QiJuGXwIvgkXa WvFBcrMeIUeDVdw5XmWfVkhYBaXOH6XBpUtCXGFnK8Ref8svd6DhY2G06YsP LRC4safrhj8NB4SG+LjUWvAnY/zPhWQapsrWTAr7NkNkbwld7R0NoilP/hLq /AyvHMV7nUM08JIfy71UPkMn2ckk8A8NL5d3r53+twnP+1IOBYnS8clKq5Zv rhHHdgg8XrGbDuMoM2Vn60aUX73pqGFIh4ic8GfHDw0I0pBnf71Ih8/1SIfO XQ3IO0It3OdJx7YGg7fnUj4htPlR5T/hdAjLUjKKN35Ck73rxU9pdAS7BEu8 iPgIfpe4NTIVdPhH3XQfW/0Ra6/f53/RTMd5yg3rU+4fYKZf3fqZSkexqBez eqAeh9Oayvt+0bHnqrJFg0k9Qj8/1qCtZiA9xuOqTF0d7nsb3V0hy8C410Cm D+owHRymbKzJQKCTV0h01XscjnVsqzVgYMnvTd93HnyPK+Zft3ucZ+D3yjfa KxreoVDYPvzuVQaUPLzciZPvcCxKUbzbi4FKbZF9WV9q8f7931piYQxsW5LX fuxULbzJTJ7HzxnY0FRw4GlfDQyFmJYn8xngtXlXpnu5BomJ/ot2tQz8oStv FZ1/Cw21NQ872hioFUjJd/B7CxGdDetzhhgYtjbbtCjyFqylo68GphhwO71O 6fDJahhXWxjeXGRg42wFXcu/ClV5A4J3VhL4Xcmd71lVidZJ59NMMQJqwbaJ 6wveYOIZJXJyB0fPVSuLjAor4BKSy/6hTcD/xMyUfk05aK7J1XLHOPp8dVHM +FsZLpn8tAm2IHAn/Pv91F+lSPSkjahx9F+hK3Zvnnwp2o1WcCvdITAvo/ZQ 4H0JvCed1MvvEXhbMpt716YELMOSaqkAAq8zK/V/cJfg2/y6dtsQAtYS14Ps Uoshs2xJ6INIAou0Z+q1+sXwY/Lw348mkMLTey6howiihsXi8s85ej51fiTE pggrSx7de5xBwPkVd7MbsxCFch2mLa8JcEsX3dQMKMS4rXf412IC4myf+S1t BYj5sUk5pZbACdXQcEK6AG87r2pSPxMQPX9jUeVuPrr9LPandhPwNrgbdrs3 D+vFFyRpwwRW2EWl2OrmQX/dta1VdAKEzP6BQ7dzkZ2isrx6noDm82RN8vpr 9FdKFi/wkmg5TX9gvuwVvklHbQoSJuFVWnDT5HU2Hqzud3eWIBGS7TXuceUl AiQOF5bJkXgmxuvEEn+JYJpjo7oiCd/SD3Sf5iwc2B4vnLmdxG3FkJFV97MQ mP6gcq0yieQevvFEjSzseL9u2n0niWtJ5pnK9Eys633S1rKLhLJhC6M4ORPy u7UDpNRJ2BZf6w/UycRe/aIruzRJ2F9wbRYYzkDdUXNZ9X0kFgWtdTQeZKCv 97fgtr9IqNQLci3KZ4BdvMdVWIcEkxUjYvE5HfFFXck0XRL1QTdvM+3TERp6 SFFCj8T5+r/i7vGkw/RU55n9BiR+LZy3YienQSpRIdbImETafA2viW4aEur+ PWV8nFOPCvXhhqJURMuNGb0zI6Hru2n93LZUPNRNdNlgTuLWwvGiuhcvOPOX HI+hBYkP9WqbL0q/gIr8pJqlNYkbZ5/uXKaagoSIWsqEAyde2hd/N6NkiLSX OglcJ3HpaciLvhvPsamw7mvDTRIKsZGyvmlJ8JkpuK/sRWLGKyXs3IdEqLVs PLv/H868vPrN+DLlRGhejy6M9yNhNSYYNPE0Abw7Tv+cDiDRl3N7CcmTgPky J/+9D0kIhZf7LXWPB4WlmO0WTIJHL0bJ4XccXh+7LHYilESo789Bwi8OtdQk qkIYic4Hh/WDheNw+5679lw4CRm9gLPqibH45DVjUhFJoqulPcLSNgbdEwq8 Mc9IfE5wERzQjAafMP+wVjwJs1kruy7xZ+i6c8Hj+XMS7bGre+8IPkVWvaxk WyoJ9srb/vwrniA7dg3ZlEliWNLDJeBXFHanxXmycjj/L3VRkP0zEseEKRqT eSSMOxaKHy2PhNutUI+MIs5+MPJUJTUnAhXM82orSkgInvQWsHGOQOLH80JL S0nQrNh+YnoRYOaUBMdzOMt3ymeHZARadK6kapSR+B8TFM2X "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1nk0F98bB3AtStm1kFIUyhJKIvl6Zw8lIVtStkohiRQK2dfsIbJE+diJ hChJouz0Kfuuj2JkC4nf9NdvzpnznNe5c+8z55l7514+8xs6Vmvp6Oiayftf 9JTQ+hdOOMz5HmBJOYPNbOrGkfOrcI+fXxsZcQYS486KzK+WwV1wXzhFWROy I0qZ+Q2L0FHUb++yPYlb9j2pRmbzuOREXedzWBVcWaEuUtYz6J88o9l5VAXP CnpFxjqm8GDxyZc3YioQX/XuFz4ygSzxSTOdBRVE7eaX1tGjIbL/vML7YDUc VxasElgYQZ2ZY3roojrmlDRPS7AMYftoxB9R09M4QaUknfLrh/rlPdFG89oI fdUym5vdjd2HC39qzOtiKfvoQ2rfV3i00BrL+gyw4YiW6pmoDliH0fZumTVB 3q8ZzelXrQh9eVWUs8YMo0UXD/uWNyPcvFysmsUK8loVEaK0BiStcNw13GEN HpU1b3Nf1+Mto8b4Jg47SHjXUY+N1YK5MrrHlcsBI1LbzcMu1mBoW4TZSI8T iteomDjwVIPnU3zPdW8XNHjJajzYUQX9lcver3k9sK8uo5Fn8A1Yq5+FKKk+ AN+U+G/bsgoMnrjyaanUG9YVfupCpeXg253xidnPD153RguLu0phuN7R+khZ IHQdouyf73kFvX2cp4fMQhGZmdhQ8eAlBtJ2BCuqhcNAZMOBPVzF0GC9elDY OxKKrvVZOTUvcEqo6s8B5hgsWqgxDAYUgkgI1mb9GQtWc+NKLYsCJOXafmgR SYCBZ6LtE+18EIotgilfkzCZ4igadywPZ0A31qafAh+KVr/wUA5SjNoZzQZS cYrmeeNQYjb6JFvU40PT8Df6huzc5Sx4Cstc1TJ7hv5PbetrkYmZvpb6OyYZ OIYNGVE7MqFs7R8r9TQD56d//fd0hgI+uvJjZeMZsJmhWU43UCATsDOTQZIC qzKl154ZFEz6t4zudaPgqNjKxw9pFLgdnE6450WBZcPSHaYUChp3u5p3BlIQ vcr7WSeRAsqHKeljERRkXXPdffsx2c+gRJAWTUF83L/r/9FirbF65SMy386I s+pkPxGWbL4h8rnykOshi8kUECY2+w6S4wQL0jGfJ9+jc8yw1jmUgtGD8QmV eRREnTJiribz5r+pkOMvoSA2T8rvixUFkfZ/XULXZOJiOtf3AwoUnCYcrted Ip29p7V0FwW6Al3bqLGZYLSPHfNfyIC8UZJf6UgmsgK3pUtXP8c5Kd1M/sIc KAanWdclPYPc4NmcYfN8LDTK0AxC0rGtMyDdcEsh8lOnXjMEpUFrg5d49MQL 6HWNfWSKfYotEq/W9M4W49CjfFtqXyoCgwXGO0tKIMCkoPFYIhWLa9X35zwu hdevhrA/ASk4EspGvzW1HIy3pFmSfiSj08QytP5zBeq2a8+Jn0tG8gZT5iqW t/haQ1P7bpsElSD3AM0bVbij+1vygtITeFvFhRnR3oEpbI/KhFAimHjeyPff e48Skc2bmngToOIYmFh88AN2JdDdPLH/MdRfKJX7L9aCYHDU8ZWLx3tepuxv A3XoeCj1iZkxDldNpHYsVH5G8IrHbdeZR+Af2Gsb1t6E9JrNJhtmYxByl97x dVgLCsKMxxXkYpD13+Pfqz9bkbzJie5CeDReXC5rCjJsh7KD+92Y6SgU1P9t VW7tAFvERJPkxShUblwOaTKkIv6z9CbPL5FYvZBEixj/igvFVwqaDSLx5UKo YIVPJ+rr87pFvkWAnVtC44hmN5zMNoYWWUYgPmOIK2J7L+ovyXVnLIbjJHtF 9sRwH2CvJ6n9KBzvJY4zp3/rx/Q1F/s/cuFQ/Wi789ybAZgLzM6tHw/DtYxB QY7UQZxkyihsTgyD3+a/5i4eQ3D+mSZdrBQG1oQpw7K4Yey3/93cN/IQDqZX xVafjWCJLftPj95DnDm6Lkn52SgC7O+/dGwNxaXcJ0vrY8agXEp8GjYJhbJs nIKs03fEZmdoJE6HYFNBTJeBEg1sZjHOMhEhUCvWyZanG4con3j4HdkQRF05 Z3swexwLnIb0FQ3BKNrMEK9x/wfeUVn0+2yC4RHVNGcs+RPUbpYkXsFgfMjb E1JS8BMyGm25TcNBGC0I2W7LOwH1lWhD/owgbDuwy/2vxwQYbFm237oRhOu6 4stD7RPQ6DWXF5INgkPaolYQzySs2vY/q9sYhIDZZR41k0lEPZt5TqMGQuC/ LFbtiEnkUgsfiGUGgjNBnP3d20mU/m5yvX8zEOsOnua9NDOJk3whTBePB6Kv +uZK9S4CQVoqX0w3BiLt4nWxYHkCUmc0zPZ2BIB5i+jcVmMCfC8+TlxMC4AL 28lUD3sCD6YKGbsdA6A71J7z5gEBh2dM1MuqAYj3k1KIDScw9Cvp1TeuANgf Nlmbk0iANVq1Q2HYH2Jh708wUQgsvb4nF5vvj7Tg4sblAgI2XGolFff8Mfrk r/TGUjKfVPJSnKY/WpoabWMqCUwu79zKze0PyUHbzSvvCBzg3XtYnOYHFqq5 nvsHAnsNol40vCL/+4+Mj5yuI1DLYjGLANJWTrVBnwgUefKGChn7weNQSotp AwEmPqZmbxE/POdrmOppJFC8OMJ/+q8vDnGGhexsJmD/9Gfr/SZflNpz0gm2 EOS+eqV+e6ovPs5zOjG0EvBQuOTO4eSLS0NjyZ9I04nZtnKe8MUBjmKOqDYC NQXubU8ZfVG2RttfsZ3AC12ViRdUHzA33HbsId0YpzyokuaDK15XUqw7CORr 9r80uOmDAt3OhHHS3MX3ksfkfSB05S2jxRcC5WMfBE6v98GSc7bwd9KFDb7v ztd7QzWxzPMylUBvr5wAe7g3zn4//qKP9HQPF/d1Q29ILrmM6X0loNG/4nWF 1xtnKtunPpDWTqwxWE/zQtr8f5ZHvxHYv0uBpSrVC8mh7E7vSLMF58q7X/CC uUlZgGYnAY700zTZHV6oShyibyWtz8EqMNXxABfY0w7qd5H13WbD8zjyAerL SsS/kh4M/JLaqUS2i4UrO3YTyM3pinKb88QWi2JX5h4CmT315i4ZnpDjpUw/ JZ3BqJ7cYOKJdfF8ldK9BOzs03ScWD2RdaH9bSPp3GMbBjyqPRDwp32dRR9Z /z8PPWl3PGAYuxwzS9pJNfDvW2d3HE+Ys7UaIHD83lwbD+t9bE71Ea8ZJHB2 dSf/1hI3NK8ZTto6TNa/y18m3MIN19sa6S+TTmheO7iR3Q3JlcsuL0m329kw O71xRXe9+wr9CAF3tZiiDjtXZP1WjNQjzV8WNNu84AImT8W4WtL5VsOiHeS5 5Wa6UIrMKIHAhZCprxwuYPMSLHpOmsK1VVOr/A4Y585cmx8jMJLpxE11coae cKG9JI2AgtHV4TsKt7G8EFJ5cZzAkwAPQ2UeJ+zLuyjv9oPML7orW+zoLRxb R9PSnyCwkVjNfFjtAPbqD9Saf87W6srQdQAfW0PV4UkCJm6xMtajN2ExbMKa SPra437ut643Uc9f37yeIO0Wo5645SZMBYP4rpFOVeW0Yfpsj6mzbFV5pDms 7SyzfexxVNzuyCxpfaP7884n7KETtNZbeopAg37wStvCDQQJLBTdJR1Y28vT YnsD27x2aVWQtrzaPyY5Ygfemu/lq//ajd2cf5na4ZQIdZ3CL3I933hVlRlk g1+3Sw/xTxO4meXzqq39Gp6rCHstktY5l+yRJWONOZbhtqoZcj7O9K76F19B 46lbs/dmCXSKtNDnKlpBiKsgIHeOwPla5crb+ZZoFb8VMUfabeAUvfReS8hf q3ouO0/gUTTLQOsjCwQP2PXdI20zELNOnN0CWY04+Ya0VfiGnxKh5pC9KjG6 QnpPzvlMdzVzcB0WluX7TSCLoVugd405fE9QGZVICzlWSZ+sMMPW6P3nLUmv K1tbX3rXDD+KxoV8SNdufFzjJ26Gfc9nD1FIS339fS1y9BJSbvsmfSbNGp6p S31yCd2d4k4E6YbRvPwnQ6ZQ/0Of4rlAfh/v5x9ti0xwt9jObNMigejCdhnG HGOUCHg5+5FevVq930raGLdd39CnkZbX7jhfV20E0cT1W96SthCdixHTMcJM UWlaF+mlY1lfgwYNUSHX9XqetMt9ld9JToaQtWMTZV8i52PMlsLIzYbQO1oj KEL6/h3dfNMUA6jf5c5TJl1+jsFh51EDyNhvKzEl/T+RFoR6 "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1Xk8Vc8bB3ApUSpFKAqVVChLqVCGUpai0LWUNrJkF9mKwhfZorTIFhEl u4oojwqX67r3WLNEKqS9ObZI/KbfH/d17vt1zuvMzHme+cwaG3dTO14eHp4y 8vt31eYkPn6+koJ+jUl567hxtKj/uwS/FAUZCT3MfW7j6ANXJkBVnoL6wP2C vMLj6LRzFydEjQLZ2cPeqGoM1R2NyOHXpmDENllG4NwYCgoeOcU1oKCi+tCt K4pjaGMxU/uTKQU/leJ+L/g+ilbOHHh05DgFZfHJBRfvj6K5HkK+3fYU7HiW U6llN4omC99Zx7hT8P77QzEPhVE0J7jk0EVfCqznTwuZTIygm/GaDyuCKMhx WV+5q34E/VGp2fY0nAIdpuaL5hsj6JKrJP0mloKD6YYd2x1GUIc6X73aDQqq 7RlFhVojqFzTmPHxDgUdBySykyVGkIXOXhU6jYIib/8xjykajSl6yJ7LpOAZ VHwu76VRsdrxo545FETd4mcuqqHR68zc2OlcCvaWxxmK5NOo6o2asnQBBeoa d68HJdJoS6C8jVoRmZ/Uxt/JUTQKO+0XLFlCwUbHByfZgTTq2XxxZXspWT+j RH3Sk0aMxVs97Z5Q0HjJdWaxA41U3IKvcZ9SECnCwRPWNOp3z7mvUEbmx1gW c/woja72PVcII85bqLyv2YJG4UHrVN4S3/bLYZsyaNT+/tMr5XIKhi13tr03 pdFWsT5RdeKLCwSXZhGzO4ptdIg7z95wtSfGp+wfGhBHb3j5beM/I/VGI2I0 +mLbQuJyqbCvJsSm//9DI//kdCFz4m5KoZRNXJuuonr0n48Ufs4nTolC3jbE oTvTHDyIx9rlipyIJ0TM+LcStzK/DJ4j7nKrqB87TKNHvCVFr4mZmA5NNKbR 08/x64SfUdBSZiimf5BGA6lcwxPEVc//bp9nSCNBu2DVB8Tln8vT2Ho0KgiU 8y2roIDPyPynP6JRaYXyWHYlBfp1v11bd9DIye+dgv9zCsKTBnJYyuR5Z39H 5RcU+E6+dzaVp9He+2P1HOK58gqPT8jSqNe3QiipisyneHDRuCQZ76VM2Fag QE966G3CchppPZlal0FcZKm8RnwJjb62vZUfJg5OO7vFVoBGkUVBaourKZDb sEng5FwaOfjbHV5O3Nux5uPoDEbiE3/UvpHnN2hdV5WexEiycktJHHGo4Ov/ zEYxeui8aoEA8UrVZ1OnfmEU03262ZrMZ8RXrV76O0aZYz46N8h8tb8GB7l/ wYgdfMutlKyP72hIgdowRtNDwSFVZP0/hzRfWQ9htMg3dO158n0261SrXhjA yPRj1qgY+X5Jua1aUx8w+uj5WOYB6R+zLTYBNe8xOh/J+1GB9J98xSnNhn6M fpqHVWc9pqDV5nTkn3cYaeyKLlxO+tczco2hCfEq59ntgcUUJB8pvPuqD6Nm hlzEu0IKHDKZjgbEvyefxuwi+8NX7L++/l6MznLKZm/kEfdP6oURm1W89woj +2lA+8v4GuJqmeO3PR5QcFzGqa3hLUadq+1nzLPJ+2/FtvsT9zfziqpnkf1R s+uFEvHa+subxO+R/noYMvS5ByPFjjhvfJeCywJLJXOI1USGrfxTKfBfl+96 nPignVrBdBIFPB+tkkSJJS55xV5IpCA3d3CE043R64NFC8ZvUnBGb3T2CvH+ hKnNLgkU7I6adNhLrHn4DE9fPAUiGT9+/O3CKOeFlsZVkjebNupfzCIuzXMx 3RFFwR6mRpkh8Q9FZd0ukk/Mc1J+vzoxkopWE/AOJfmQ4ZR1k1iV4XiT/zLZ n9Ln5DWI8/Wlh5suUBCoFHy04Q35vhwxo0iSf3ksVy8L4iJp4UJ1LwoYuT3O Ax0YKT1f/rvPjQLF9pndHsQ/JfcK6jlR8IrHvGCsHaOMvMGWe3YUpHSHtfkT P/m7W40+RQEvqyxvug2j6++M1/WTfPZl2IiHtWK06bOBu+Eh0n9i/KfXE3vl 1DDzD1CwDR/8WdNC6hlgtnahPgW38mWrbYk/FVzzPqlL+vmbc8ucf/armDJD JD8nhYUvNGP0cqUS0tSgwORy+BeaIvfPRG8QJedHjOAby7PEu+tahawkSJ6m b36S1oTRQGeFtJcIBWdbhNWH2KT/dwi3+iyiQHJL4zEF4lj7M6O2fCQ/zRNW ujVidOBlbpr3NBceMJ64FLDI+7qkvxvQXDi/4+dxOWLR9bJuAsNcQHplK1Ib MPIMKfpb2MsFv6QNycLEuDREQq6cC5VDTl8lmaTfZE4897zGBf9aG4ZoLUZp Oca1MWe5sD65MGjmFUapLpzVntpcUEl4tvhNNem3oPTGRCUuSGVqzowCuV9/ XzRWigulQsZKS4llOlqSjRZzYVFfVNLGKjKfqmP7y7s4EKrByvGqxEjeMVor hs0BcMi/+6oCIyMh7by9wIElPnlLlxJL/mfh0lfMgSnppPFjzzA6WaNgbZ3F gcxa90PZ5RjxPGfFH7jJgZyAU496yjBSmV2xXTycA9s+mK0WIj4cvEYafDgw KBxxT/spyYvEv3vf7+IA34RwhFopyYs9ZxKWzSHj3ZaOFirCKDF4wwgHN4Gg IKNBp5Cs79tgisuHJghLlDc+V4BR1Fj8uS8tTeDe6yyRkU/yzGeepf7rJqid L6jIycNIzueRzpnSJii74/F04hFG2WJmASczm8Dwyq0AaWJLK+1P6glNcCSw 1mdfLkZzWRf3rWA0QS9tIjKTjdFGVauYVaJNoOv4tTMlEyO+NCuvPa1sKLXc 47cmnZxOf7UqL79ig5KlSKjWXYzQnbb29GI2mPBtH7ZKw0hPUL/8XjobjGz5 srxSSZ50N1uEx7Eh9HH3k+gUjG43nbV9cIEN8ztyLIOSMara57L2ngMb9rst qXFLwmhMouOKlxkb0iI6x63vkP0CWek3drIhtUnW8NdtUj9TQ4b7ajbwV6VX XrqF0cSsUeJcXjZc51M3ELyJkewFvCh/qBF8XFZwbydg5KIkRi1rbITdjrYR MtcxsuOd/1GlsBFm/cY87sdjtEXSent7ciMMLbPnT4vDCOJdRi2uNIJ4+GnO jasYHaoSXFvhTSzeWhsZi9GI2Lh426lGuLhMrzkgBiNnxe0CTQcbIfr+az6n aFIvp4d/snY2gtsPY1uLKIyG58jnxcxpBCfbOfqOERiJhXxfnTHCgmvR/o65 4aSeJwZTsgdZ4OU5Xfw1DKOupczNqW9Y4MY2Wa9IrJl+pMH0BQvsr73VrQ0l 9WOVdLXdY4EBHLt0LISMVzEvYt0VFpSY9Lb/uIzRErOlOSt0WPDFoO3qukCS zxJyB4p+N8Au0QWhuv4kv3SDCn8UNIBev36XyXlSr5dTbZ22DZCr9a3ugCdG X3sWFnivbYCMWslnDa4YScd6fJDqrwfFAdM6dSdy/h0S/N6TUg/KMdESKfYY +X8aLimyrIdHD6K+/LLByLAzKvieSD2U5Qpd2HmS5E+2pHBZExMuGc9Z4XUM IyulnrjRcCbUOZ2cTbfAyCc8QKDYjQltNwfMTcxJfVKXZzDMmRAVmanLw8Bo h19L+ofdTDAKE2blm2E0ORE7KbuKCcu8nnh3m2DkIP138a6pOlgW4Ro+7zBG bhs2K97pqgPkpsujbYxRSXX9NLe8Dr5lu2zyP4jR/wDeJlKp "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{-0.28125, 1.125}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {-0.26125, 1.145}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[1.15] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHlYj+nb8GPs+76Lxk6WCY21275mjWyRIYaGMMguEmMn2SYN2Rlb9oS+ FZJQkVSK0qbSrmT3eo7j+znv97i9c3j85pn3+R3P46/v8TnO+/xe53lf13Ve y31el9GEGUMnFTQwMFhQ1MDgP36XLfrQwnBllO6nayt0Yzt5KD287cI8hocK ly3onb/K3F94pOHCCqcvHBZGf3Tvx1E+Xf1EH0YfRh9Gv9CJV+FDJ90RfRh9 GH0Y/RHFS9j+2iNU9GH0YfRh9I2vVJ3S0TJC9GH0YfRh9AvMaDC50JTHog+j D6MPo/98c/UzSZ2eij6MPow+jP5w27o/3L4RL/ow+jD6MPq67o08Tg1MEn0Y fRh9GP0mtVu03BqeLPow+jD6MPouL9ucnD/+uejD6MPow+i/D+7YfGxKuujD 6MPow+ifG2b0sG77LNGH0YfRh9Gf6nugssuSbNGH49xMHX+eHq57Yr+3dMuJ OxVz3YAhuYuChNGHD66x6tS6w5XPni9TMj5vVFSW/N/1eZPb3qmTI/ow5aOP /TD2a+X8P+Vh/8nYlQc62wTqOiVdW2lvnK0s3mS7ZJT1Bl01ozTHJsMPKXlB JRzC+t7TbXdbefBUULbyw3rXiG4LInXGJ/8cbjxzpuJy4n6z9T+FCfM8zP/D 0h/1PKvey34hbfyEp9y5E3ejxDlh3leJJnsuZ1p7iX8w9praO19tOPC8cEzU 8Uues3Si3/JNauQai5uiD/P89boJow8GXhd2Dc0eaRd9S/TTWn73fMPlENGH ed5u1UfLHzOChPe5rWpqYHBf9P3iyqVY3g0TfZjnS9lvOJqw+oHwvEFbG98q Hy7627cZPqsT80j0YZ5/2njX4ROukcLmBfc13FIvWvSn9TFOTM6KEX2Y5y9E HTlof/yJ8OZHI7accI0Vfff3btkjl8eJPszzvXpH3asT81T4zdlx5bfUi1fr L3z/zM4lEtX60zPPe9SNG1xoSoKwzYZJm+2PJ4r+HI8/M41cnok+zPM13iQH J2clCQdNnlZ2TNtktb+tOW1XpFaq2j/0zPNOoZkD7y5IEW7XZfZGxTtV9PtM 9ExPPZAm+jDPZxx/efd0QZX3VV9Yun7vdNE/00k3Lbh5pujDPD9y1Xvz7esy hEu/WLa+WEim6BOP6C9PWxac3HltlvQXGH3Gb5jxGGZ8hRkvYcY/mPEMZnyC GW9gxg+Y8QAmvsPEaylf3/+Jh9r4SPwi/hCfiI/+v+nSHMwTzYh/MO8fDlBK 9BygC5T/Q97F++iFgSPU8aJnzdnW3xuq8XjhuB3B1pNzFFPbyFEuhgG61F31 ly8d9Sl++q66Nr9LuFlZp4gzGbZrhR8Nfz5+dsBe4QdRzkHLt14U7mJ//MjY ZleFt1rYxN9PvyEc6D4rpMulAOHd0boZZ4qFCHdY0WvyVLt7wnM23Z2+qEaY cDnTYTYmyx4K9+kW9UsP40fCCck/TXjrHCVsmJc8tbRZjPDjuz+2ihsSK/za 4m3r543ihHsfNjvl/0jlic0Lng32SBA+vaxni2MTE4XvFilucq79M+Gao81P bEpT+cfYsqd3+qUIr2xtYTxnbqrw3ktVWi3pnyacWWr0sZEfVC7pUvvUTw8y hEcljW/a+bdMJSHr1tQPpa/qkltFmDQKzVIqzP1Zud7goq6YdTWr745mKU7d fj+fkhKi80we67PmcbYS/bhU1YVtI3XbRzd5MfVTffv1ML+0flKojMdtti4q tKB2ojfjLeVJ/9Oz9D89S//Ts/Q/PUv/07P0Pz1L/9Oz9D89S//Ts/Q/PUv/ 07N2PvWbhc/Fll2ylbV5F6L3t/b+bP5QovX768s91PY+Ii3tQMzTP5VX3sOy x7Q5oPM4PD9sRb8sJSChz5aLbUN1E8cZhkfUyJH+S/+B6Y8DS11JnRofqWt1 c10f3XB3s0qlFvjXLKuyffPT1SflPxD2aJ7b+eztMGHs4/8qDDJ2fnf2nsgj BqZMOxkTIvxrbLdlmZtuCafGBgSsa3dbmP4OE4/5/+P12s8wLH5N5Kb1zjZ0 HO8rnHG7l2uTCWeE4+4MbTbh7Hlh2o/MZ/Tvc2c55+O3i55V69PdMrF4tI+0 N5m/6OV56RPvzzt8TXhqkV+f7voYKM/LfEUv32PhEFT89l3hEhf8M7Y735fn ZX6ilx+wGpA4IF9tn0+mPEiz3h8uz8t8RC9fWHZMfJXikcLnasalNj4fLc/L /EMvH+g35WlMjSfCPZ/Ny50fHyvPy3xDL3fucHnGsO1q+z/ls3T22Gnx8rzM L/TytxX9MtrVUeNRddeVOV3zEuV5mU/o5ZPSA6bXPqL2nxWz189quDRZ7e/M H/TyYP/gtAI/qPEq3dwlq0TR5/K8zBf08vbuD39JuqT2vxENXWdkbkqX52V+ oJfvX/A4NbBbhhK5zHHQtdeTdX90Opbbp3CWzA+aTS/kP+xulmIbuO502vqz upJDGi6ptSlLWdWhsWvJq2r8cvQxirS4F6Zr/qpiaVfrHMXmsm/hMym7ZX7B +JsUvD2jfc0sxb3v3djaQ7dJe724rkP7eTWWCXsFnNy3O++OrnwjXfXbu7KV zRei4ypbheqqRNa/EvRpvJy2a+zSi4Ou6UoNsj21qUq2jJ89Q1NapQ7x1Mn4 qmfiD8x4DKMfUOdOXLVmm0UfRh9GXyvXjvewf2KBx1Zx5xTDFo2HF/bLUaym uxsVDwkUTn1hnTprR5hww9OZ3WP8Hwv/cFE3sOHbOOHgbb+9ja7wTHj6nEFH XJo+Fy5pUXV4v26ZwmE7M5cZnMgWrr/aIjzK84Xw7HkXm1+8nifsN7mm05aQ fOHylg6Ppke/Fh7fM75V3+S3wqfa9P6tfu574Y/1jj3++PGjMP6Huh7bOq9I rvgP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+ry7a8kFKvzzx H8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/Debc6ai1aaX4j+M /zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w8RT7XyH+R5ymPgh88ET aw4XK7NFmZ+QMsfM5oVwiyHTz3kcyRWOv5r14vv0PGHK5/8on3il/X/6K0z7 hanPikMSisRMOqpkD+19I3lmjsR37X4P6ydYuz+klWvt4f95Hv26HuUCdrn7 yfuAsd+88s7Olx3uiRxGvvp+ox2NT0WKHEYed3PMq36ZsSKHkS87VO9ggaKJ IoeRG658PsTTMEXkMPIrE89+sDNNFzmMvPneq2EVDmeJHEa+eLORccaZHJHD yO84rHS85Z0rchh5jRkpEQcCX4ocRm47bkDLZQ9fiRxG7jng9MoxcW9EDiMv 1rlytGnGO5HDyEcYLzCp8OaDyGHk9Icfo9ymelgdl/EWpr3MrBttYtTlrPDG ucunG7bfp2P+z/Mw4zX9DzmMnPK18wHa53f7nU0Dy1+V9vmm/5Qg3bMg4fbx 17oM+DSPhee6W7h63Y8RjjiZ/bpigQRh+w2XDgVWSxauNG25xfJWacKjDtY3 qFU/S/jI1tWW+S1zhF+tSDt+v2OucK/Zg7872ful8PYJ50atsXglnDCkmoeN 9RvhNl0XF+nyyzvhFa1irWrO+yDcrHGFYsWXfPysv2vfF/2T/STiAe+X/s54 wP95b4yYM9TTX5jxAd5V6J3L9nWhwowXcLjvuvTvLkcJM37Aa3Ub9rfLeyrM eAI33j18cGapJGHGF9h/ce33B+unCjPewDZjEo9adcoQZvyBC/xheax402xh xiN48HqvAoltXwgzPsHuiwxH+nTNE2a8gjNsHU/uGpAvzPgFm41OKjRv1Gth xjN4fd9+Y4ZOeivM+AZHtzt5uvms98KMd9r2wH4h9Uf/pn77Fy+eaFTxhdQf cuoXOfWHnPpFTv0hp36RU3/IqV/k1B9y6hc59Yec+kVO/SGnfpFTf8ipX+TU H3LqFzn1h5z6RU79Iad+kVN/yKlf5NQfcuoXOfMX5PR/5OwP07/p/zDrTe16 7D+7f/ql/dK/2h+97xVl5P/aQwff6eK46cGNQ7qv3Z9zr7vkaqki92R9y/91 Mq1Qdf/JLOG4mLMPyhVTy8/at82y8ots5br/o5tmJ3xFX76v6HmcVUCn9Lre ivb/D5Wtvv23H18Im1/yssjb/EI5cmTFkCEzguX5jc5DClZ5Fi486XDWia4l Y4W/W+U5+tX3CcJ7bZYVPdUhWVjp3ufcpKFpwlnlVrcq0zZL2MwgbVVKlxy1 vMxBj6+b5wpHPznb2n3kS2HjoKprF9m8El54dVGs5cw3woHHY0xNFr8TruHW fUPp1R+EaW/s38n+5mK3sNeLcoUNGpq5/BymcrmUOpWn+eQJX9jiez+y+kth 5r+wdr3OfiTjU6bpL3vneajtl/my7H/pxzf0sZ/xTFuf2vU+cuIfTLyDiW8w 8QwmfsHEK5j4BBOPYOKP7D/r4w1MfIGJJzDxQ+sv6wWY9cLoJ/ZvdvY+LM/f uTakYgOnY8La/SD0t6eFmkYPVvtXp+1zc/v+ma1o94daNd8c3i5ty2f91XzU CPuB21Rm/ibrE/3zrDe0+oxv1yNiOob8X99zWI8o7ss+nJ2vth/aL/EQZn0C sx6BWX/I/rV+vQGzvoBZT8CsH2DWC9Kf9OsDmPUAzPwfZr4PM7+Hmc/DzN9h +o/M1/Xvs8yq6O6LV50X3j2swI6Qkbt0/9v367+038r4x/vVfi/Sfg/pt2Rn l90b1PHLcFn5oJ+u+AlfX/ldSnL188KlKm6P3vf2jPCRlNGtDhe8Iv2B+pT1 JuNdwdetr2So/cXA/9F5n8hP6+1M8/4txgeJfkIbUwcna3W8qptzIyJ7Y4zw ifCmv7eMiRfufyGnZ9JLNd6lbPXKcSujjld+7X2Dm1RUx6sKTRo0LFxHHa8m VFuzOLapOl55FE2/f9lUHa8M8gc32dFNHa8GJp1z+HWgOl7tDqv2cMBodbxK u77YuMlkdbzaeuVkeJVpH1V7XOa2e7vh42fvi/0ZGd9nLJ7dorXKF0zG5ZkY 5snz7N8gt4r+eMZ9nsq2e562OTjhpcQv2o92P9yx0YTAo23U72usxwZ3LuRQ u2i2UsxroXsbqxBZj1l13tso+Hmg1L+Bk63R8ehbwuVMrmb7tPIX/6Y9f5Ef r9wU7mVpd/9u71B1PnFmzXDrYJUdK35o1nFelDpfmFn91J0PKlsn+3cbFvpU +Pz2YYVqV1XHv/f+GzNLPE8Utphb63RoiyThXQct3XwLpgpnWySMXdtL5fZO hn3n18gQ3mRyvETXcSrb/vBiYdXq6ni5s5hX1NsOKnvVHXEvp746fibl1zYJ 76VyiXKXGwW1UsdT02fLV58ZqvLIj4ZLj3ZSx1enh4lPNoxT+UiG4wOnPup4 ++BG37ZTbVV++Tip6fhh6vj7/fkT63rYq9zrbr/lHcer4/GvB8rH1XFUWfv9 lPa0qknOufBJWTI/YL7O/ABmfgAzP4CZH8DMD2DmdzDlMR+jPJjyYMqDKQ+m PJjyYOZnfD9nPgYzH4OZj8HMx2DmYzDzMZj5GMx8DMYevt9jD4w9MPbA2ANj D4w9MPbA2ANjD/kD2ANjD4w9MPbA2ANjD4w9MOWTr0D5MOXDlA9TPkz5MOXD lA9TPvkRlA9TPkz5MOXDlA9TPkx55F9QHkx5MOXBlAdTHkx5MOWR30F5MOXB lAdTHkx5MP9Pvgj/D/P/MP8P8/8w/0e+Cf8H838w/wejT34K+jD6MM+Tv8Lz MHJt/q92P575LusJ8neY/8PIyc9gPYCc9QDMekDyf/XrAZj1AMx6AGY9ANP/ tfaQ/wGT34E+chg5z5PfIespff4G9iCn/2mfJ38DJj8D/7Ry8jF4HzxP+4R5 nnwM3if6tD9Y6k+fj0F9oE97g3mefAypT70+7Q3mefIxaB/o0/4kv0Pfvhg/ Ye34pq1P7XiHXOzRM/7AvA+Y9wkTX2DqU1s+4wtMvKf9wMiJxzDxkvYDIye+ wcQjWM4r6NsHjJx4QXuAkRMfqH8YOfGB+oaREy/YHyb/m/1k8rHZnya/mf1s 8pXZ/yb/mP1y8on5HkR+Pd+TyJ/mexP50HyPIr+Z71XkK/M9i/xj8vO135/I p+V7MPnGtEeYeKnVp72gz//xfQ3m+wGMfTDvA8YfmPcH4z/M+4Z5XzD1A/N+ Yb4fwHy/g6lvmO95MO0DZn+G8QSmv9N/GD+I5zD7OejD6LO/gxxGzn4Pchg5 +z/IYeTsByGHkRPPGR9kP1PPvD/OH8CcP6B9ER9pL+THw/Q/4ity3h/xiffP eQ3sk/mTvn45z0A8Yvwj/sHUL+c1iD+MX8RTmPbE+Ygl07xuBi1S4z3+st9E PIeJ5zDxHCaew5QP8/5h/IFpXzDrN5j1G8z6DWb9BrN+g1m/wazftOUb9o50 Nul1TZlVe7vdtErZMn68K9ymue/IjM/m24OSdkWtPfBEaVM/+vc//1Dj/+KQ XXUaPXsq8b6at/mpPS5R6nxwT/6KvuvuSzy/1T5rycFO2Yr3tKUhe9sFKuX3 Dtu86niGkvCyyDZPt3Dl/eVKo4z7Jim3x6/Pje0Tr+Rttcx3nh6nBGW4lTXI T1SmvLMvmHQ2WqkQ/P3s6Y7JSsEel+LnNHugfOzco7NvZqqydUiXSomLcxSn B+5+QT09dLYZ45zaLsxRNi1Zv2n1q8O6Pt0a2lazzlHS/TsE9Q1ZpfTbcuBh 8945Su6NaMeaaw78t58PcOk3w8jeLlvmh61ijzReeSZLMa94wc5kj/r8v3p+ gPY4ycdlQHy3h8qrJbvGH5mtzh/DZs4vsLlZumLi2/HokXuPlLw2SQu6F/vU 7903rx1c7e+fP0jKXNG78oxU6a+FLYouumuYrAyPnPs0Ik7NF/6r8wn0txJD 4pzfno5Tei2eUmTjUHV++rZdoaepExIUu+hxz9wOqPp/dZ6B/rwzxWZw/98T lYzUHfkmwfEyfx0XZFR4qm2sUr7fyTZhXb58/oF4cXJKQ8+6rZKVc0eD65W5 HSPz20c9Zx/NWBih5LacsMXliqr/V+cliEdOq8dZF12fqhiWGx1crEm4zH9P rnBp9t3GYGVpoLvhzFpfPl9BvGtnXi3y3aU0pdajfq7X5tyW+O+a8KiMbfIx mU9rz1cUaXmpZOUZ6nyZ+bP2e9O/er4i8apX604dsmT+yviS/ab748bxavvX zmcjhrn1H3pZbe9/dR7D+EWnzo/Tk2V+y/jklmtQ+X6lz89rMN5Ev1968sQP anvSzne7jf+1aI/0z89zMN/1LG7Q29ZGrW/tfHffb9mWzw9/ft6j0AvXFZVs fT8bf333BIXf8vs0bq7OnJg3KFtJyj/acl3dW0q91mMm9IxLURbt/2Wk86xY xS1uz+i2f/gr/S4Utcjulq4YnmrvlON/U5nSqmGpzrXTlZFp3fztBr+Q+utj bNJ5TE2V35iU8unfNUdp1rXxnN3HDyuusxpUGeqZrSR4j9gVtsBPqdKr/G8Z xbKUWoPrzNnc84Gy7ZDPmuxDn9qNb/Lyo4PDlPjr9U/dcn6u2I9MS41+9lhp cunMe6e+yYrn46HZ2T5PlSlzTTrWL3tZOXV/8ErviRmf5cOPft15U8N+Ebrr A4pOC9+To1QJGFOmpP8jXdn739fdFaOe9zLdcHHtmpwcxdG6ms+o3ZGyn8B8 O3fPW6Nu3jmKexuDLdMrq+3VZnXt9NjHp5Xqrf/8o0COOt82q1zqR7trGYpl w5jWvZZ6fjb/xr6HAwo8XDZcnX+PLz4uLHSiOp9ve6d/rUcn1PX95Johe54c y1KKuVdxnXFTXe9Ptstquf5KpsxXmO8xnllNq7p/docLunpjay4bMDtHuee9 4l3jwq6yP8L4rj3vVHho1o6qF4+Lv0aDI+YeqnTos/7K+SDaF/+3dl/JjOZT L6vP76/qMNnLW20fG2v+7r7+prDjxm2DCyXcUP7V8zP0B8r37t/gz1kVg+T/ TM2P5ZS+Eizs6VT70NW8UOGlTo+WzzBSmf7H/9WauK9Fw/bhIrecmDh0TukI 4dyuJz42bRAt7NXVNip6cJQw/V3ya+qarHaZEiPyvps7PJxpGCv8u8NuY/Om ccKLPi6u0eBTu5fvofr4wv/dyoidaXAnXuTP7AquaGSaIPzjuMmRBbslCVd/ 0uNmVHiiMPGM//v57pHaF+OfiXzlgMCWTwYkC4d1arHq0qhU4YtXSs3Zkpki THzl/wofnxk4/e1zkdcz3hK9dVKa8OyaL01mzsoQHr7rQd2+RVUmnvN/Q3u6 ddxSPEvk4wufuH7QTOVi75/McOmRrba3TkFJDmVVZj3H/2XVs0nuY5QrcoOE ObOsLFU+EnWoVj+rPOGdNbe7mDZSuWIHT+XIW3X91+an+TPSa+Qo0Y6+FseW nFNWTQ9oeKZcjrJ2UYeowk4XlAd3Uz74+WQrd5+YTIiM8VUaT7pdr356trLU sOS6lVFXZP2IfWYVA8zqN38p5Q0Mjbj54wSVXwaWmN1gSr5wUok3KeVbq8z6 kv/bWNB428d2r0S+26+TYUU7lXt52d0ymPNa7T9vxnZJN1OZ9Sj/F5296fmj Hm9EnnbafU7GApW3Hr1fJ9rhrbBTiu/2gH4qs37l/4yfvuh6YfA7kXfaW+j2 rZUqJ+w0tb+47r3wg4gG6fstVWa9y/8tDhmx09nqg8jXbp5idNBZZZPVrne2 7PgoXD9gTXeHCSr/0+fzevha1vN4maVkmp7WBWbe/cfP693pmeoVUD9d1vs9 bRIbLPkpTelyoVshZfy383x/9zzfjfw/Vy9pt1epWu56dwOHTNlvoz2FVPa8 WeATM99F/r3Nmw92BTyUZUUbxUy8rH4fPDUrIDLyofo9if2Y1VtbNBrlHa04 Zu6e+qGKnzL1w4xpZR6o+y9L022e/9gjQzk5a+PFWYv8Zf+lw9DF9lb/cU7O re3lJT/7K9VX/hHcOTNd8XnYyKlhx0ilufXeahevpCrnVgcsCP00TjWbf8Lr 5YhEJbRJ+eqZ+fHKH++uTFg1/alioITlP3ZLUtanrtvfwfWR8rjJQGfruilK hEN6mcC395QJpqPnxq96rnS3Hnvv4IRMpZxDk1W/5IUpM36xuVHM9FM9uncZ a7QjTvn5Q7U7xWzjFbf5c61TByYqC+PGBU+/+UT5vuXOo1vjnikjyzSvVNDy oWLxdJx98RGf1i+Vbtr9avVpPChcPcR53X3FN7LRivyCKcqCpm42F5qp38PY v2H9ArM+gll/wazvYNaPMPsbMOtjmP0S7f4R6x/sgbEHxh4Ye2DsgbEHxh4Y e2D2j2h/7B/B7B/B7B/B7B/B7B/B7B/BlEd7pjyY8mDKgylP+oO+PJjytN/X WS9SPkz5MOXDlA9TPkz5MOXDlM96lPJhyocpH6Z8mPJhyocpX/t9nfUu9sDY A2MPjD0w9sDYA2MPjD0w9hC/sAfGHhh7YOyBsQfGHhh7YOzRfp9nPY99MPbB 2AdjH4x9MPbB2AdjH4x92u/77CdgL4y9MPbC2AtjL4y9MPbC2AtjL4y92vwB 9jewH8Z+GPth7IexH8Z+GPth7IexH8Z+GPu1+Qvsv+APjD8w/sD4A+MPjD8w /sD4A+MPjD8w/sD4o82vYL8I/2D8g/EPxj8Y/2D8g/EPxj8Y/2D8g/EPxj8Y /7T5Iexv4S+MvzD+wvgL4y+MvzD+wvgL4y+MvzD+wvgL4y+MvzDzB+5zwH8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Gf/H/8h/Efxn8Y/2H8 h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn/t/YTsT3L+BeZ8k5yP1u83ch4EfRh9 GH0Yfc6PoA+jD6MPo8/5H/Rh9LXn42H2J+X8gv57AfuT7N/I/Ux6ufb7O3L2 P2D2L2D2H2D2D2DqQ1se+wG0D21+Fut39sO0+Visr2l/MPtxrKfZ72O9zH4i 62HJV9Ovd9kPZT3L/izrVfoTzPsmXx3mfAPnQ7Tn/ZFTHow9oq+3V+6/1PsD 4y/M+4F5n3J+SP/+YdoDTP3D1D9M/cPUP0z9w9S/9v5O7X0QrPdg7XpL2360 6y/kxA+Y+CHfC/TxAyZ+aP+f9RDvj/UB75f5MO+f+Sf1y/iDP8RjWHtfqva+ Gd4X8RomXsPEa5h4DROvYfoLTLyG6Y8w7x/mfcO8b5j3DfO+Yd43TH4K+SPk S7HfQn4V9z9yv6H2/Dnff9gPIh+GfBbuE2X/h3wY9nv43sT3K84L015hzq/I +XF9e6F8mP1L3idMvg75NZz3kvs+9Ky9TwI5rL1vg3hPeTDvg/smYO6boL3y PCz3Tejjk9w3oWfkxCvkMHLil9xnoWfkxDPksDbfCjmMnP6IHNbmm8HcN0F9 cX5d2364Pxfm/lzup+B5zrfD3FcBc74d5v4KmPPtMPdZwJxvh7nfAuZ8uzYf j/t3uX+Y9sp5Kpjz8DDzCS3L+Tl9+9f2h0O6wEJjzqvtk/Nj6Mt5Mv3zBvbr 628dofIY44E97r7OFX3Ok6Ev58u4nzeurE0RN5XL/X5vhWKmni9jPkT9Uf+w dv+YeE980N5vLvdv6OMD/Y/ztMiZn2nvl5B8ez3LeWM9M/+jvTLfkfPReiYf k/xC+gPzG8nX0TP5n+TP0r+Y/zBewOSTkl8r+fv6+ZHkW+uZ/FTyb+n/zJ8Y r2DyXcnPpf3RnvCf/S/iN/nG+Mv+CfmH5B/jH/sT5MOSj4w/rPfJpyU/GftZ L5OPS74y8Y/5H8x4j73UD/bx/rGH90v5vD/Kk/uT9eMJ+6O0V/o37Y3+SXvk ffK+GU/xD/upH5jnGQ95Hv+wD7n2voxv+Z//XvmfvP85pVstdbyW8Y/ng37p PpO/my/6pXzNv5tv+aV8ya/Nh/zafMevzWf82nzFr81H/Nr7Y7T3z3y7T+bf 6z4Z4jXzIW0+25fyTb+UL6rND/1S/qc231Ob36nN59Tmbxqsn7lwx/8jX/PV jhzDJ35qvoF2/U3+n/Z+HOZ71Afr88lPfy6zfE3Ot/tzvvL+nL+bL6vNB0ke Mz592MEwef9mH3vYXqut8pfu6/lSfua/W36u9v6gL+XjavNttfmyf/e+IW2+ 7ZfuH/pSPu63+4f+3v1DX5u//F+db/wtf/hb/vC3/OFv+cP/VP6wNr/3P5t/ q73/kPuCtPfzfbtv7H/2fWP/dP6w9rzUl85DVfF5nXZy0UPZH/52f9n/7PvL /n/ni2vP1/1X54/LfbTHxng55c3WfSmfXJtfj36sw+D8qaWylP8DGhd0sg== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlulv1VUQhufe0hWklZbFtpQuWLC0VNoi0GpBcVdQikVF2SpFq7YVEKVF BEQFUeSDxrjv+25c/gL3uMQlcYlGo9FoNBqNRqPR+L45T2M/PPmdc2bOnDkz c+bemp7BroFsRPwscsQJolPME7PERtEoThILxXwxVuSJfHGqWCTamWexUyRy 0esSy0SBmCwmiFIYL4qhCNsrRLcYJ5aKJWIMuoXorRRnixIxSRyMXXMQuj47 g09bRDN3Wi1WiTJRL2pEragSh4hyMSD6xXQxjbUKsUH0ikpRxx7LZ2DDa61i NudV4J/v3SKakPWIdWIKPtVjw3saWNtE/Gey5zBkl3GfRuaHsv9C0SeqxbAY Eofj+zR87SSHWWJm3yaS23ZylyWXecQ+n/UFkeoiQ26LyEceeSsiz2PZU0Re x5PPYmQZ9uSSqwn44nyWolfIvpFclo7K72T8XsW4lDuUk79JxL2cGFegV0V+ aolTHXHp5Wu9qchrsFXF2n7ydwSyeuK+kVw5d/1865A1kLOjRUekuqhFpx6Z 89qEbjPzemw2oD8VP5rwYQ53m8hdO/DLsqvEmZHeTiuyFvyfy17ndz45zSHv fl83iiPRWySOZf1K7mB7zn/nKBsLsXGyOD5SjdjGUdjx+cfgn20sZq2dM2w/ g90susehv5h5B3pLOMtnnoKNneI05PbrRPxagD/z2Oc+4v7j2nItlhCnFcTK dbmMcQFj1/AusXzUWlf835dOZ3056wXIurHXjf0S5Gcgd324/qYjPwsd95YL Ir1f17TfQxnflYxdx657941rxHmMLT8XnTJ0bOMcZLa/m3kJ8tXsvVqsYd8Q eW5GvhadNczLmK/DF3/dyyrxpQd5BTKvu3/5ncxAvp71kbdXzXcD4/MZW+ei SH3N63uYV0MfNvrQcTyvZX8l9OKL5Rejs1cMMh55tzP5DjAuIe7F6PWTt9nE pwXdS9AfZG7dX8Sj+Op7u4+7V38kPo5Uu7eJ1yK9sTvE55HqyW/wQKQ3dID5 yNv2G57D1+tz+e5H5/JIvw2N2HLtFpBL/174t8A16B4xjrN3Rno7W9hrna3i esauzd3EI6uH+ia+/SOeFdvEX+Jpzvdjfl6fHZHe5VLsryc3leRhL7Fyzbr+ yojldcTzUrGPu/hN7CHnayPV/RRk9nsWvm/F503st/wJ8Tu2X+IO9j+j7y2R +tQz4m/2PyX+ZP9j4lf8fSTSfyT7kq+9r0bqTQ+I7/HLsXmR+DwkfuTez4l/ xRXiBfFGpB53n/iWGNwjvibe2yP1XNfZMPvauNsQ+XScNhOrfcTe9/1NPB6p Hndgq418bsPGXeLLSLUwhE4r42H0tzNvY98we/8QT3L2ZmJtH9wr3Wddbz+J hyO9w5uIl2P1iijMpN8Bx2NMJt3tXfFOpP+er4ubOfc7cX+k3vONuDdS/3pP vB+p138qPon0P/QzcXukuntLvB3pN+BD8UGk/7A5mXSG7X8h7ozUv78Sd0f6 TciVTp64AX9fjuTzD+LBSH3O8lsj6fwHKs3UmQ== "]], Polygon[CompressedData[" 1:eJwt1HdvzmEUxvHzaCXeRt+DtE1j1KwVpARRQUoQpJUSxCit0iWxY9esvfeu LWLP2mrvXZvwPTnXH588fdL79zv3fd3nPCm5+dl5DcysI5LxCMvQCz3wFCvQ B73xAEvRHdnYgVNogUKsxmvkYgDW4B0GYTA24AvykI91+IihGIaLmIlmyMIW /MRojME2/ME4jMcmfEMBRmIlXqAv+uEaZqE52uMyruvvdCzCXXRGF5zDJdVO wwLsRSamYyf+YSIm4SbuoBMyVKtWeXrN25it533NLT2ToTVLlKln2Q1zYYl4 d2PMQyO+z+AzVdlcQTtltFx35HeTo7MsRled6arOnK5nqnTHfrc9cQPn0RYd cAJ/lW0lavBJd1OKg3imWlOwHw+19yIks9ekROx9gs7eMBHZeQY/cBwVGIXn OIQSix7zs+7hs4nFmT1r77FCZb7b42FNU63xXtiuWt4T97WnImVQhwMotujZ M9iHyWht0XvrMdyiB71X12KIRc++wmFMRX+LXtyKsRY9+USZeBY+M7+VYaXW vMURTMNAfMZRlKmmZ/HLorcrlMVLi94tUe03FrPke/DZ2YgRFjPk735vMVte 44JFD6fpTo/hu8VslKt2vcXslSmbxxa94Bmdxi60QUtldc9iNjyzr3pnufbw waJHSpWZz361zuq/AT6Lq5Sdz+RJzEcri9+MsxY9nqqa/r85qu1rfPYW6q4y LWZ9s0Xv+Mz/B7zwqys= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHmYz1UUxufe6mmlRYsooeyERCWSQgjZKskSUk1M06Qpg8HEiLK0kDbt i/Z930tUCi0iSvG0p6d9X9+385lHf7zPOffe87333LPe36/eyOL+Z+WCgoIL U0HBVqI9NegmzNZ4jrCTsIswWhgqHC/MTCFfTXhJWCLsIVws7CjsLBwmNBaa CCcKJwg1hNeEV4ViYYXwhjBOGCTsLhzAft63UHhdWC6UCEuFl4UxwiphpVAq tBMaCA2Fd4XVwkRhrbBGKBfWCe8JU4T3hfVChbBB+ECYJnwkfChUCiehy8FC W3if8ZbwpnC+cAhnNhIOhfrO7whvC2XCK8IyoUgYJZyGPdpjm6ZCJ+FAoaXQ WWgltBaOZM7jjkJzoYVwBNTfHM4ezYSj+O4g4RjsYh17oJ99cjTrbYTB3K+L 0B1Zy/VE1joeCz0cnzsWHBO9hQ7o1Zc7WN8+zB3BejP0Po65TviwCNv14zvf 2/FTXdghRew5jhxPA7ibdS/EF44Vx8gY/NILHX1m1//5zbYvxjebhI3CTSni rhTbrcSfzfBtGTrbhxOxtWOqHJs7pqbgG8dUBT5yTE3DBw2xZzv0bYtODZhr m7bEjeUcg5X4pjH2P5Tx0dy/KXdsj64dGDfH5h3SlvjoiK6dGLfEzp3QtTPj 1uzdGb0cN93Q1Xbsgq7dGDfh/MPQuzvfWNcejL3Wk3FVDPVEv974yjo5Jvpw h17IOdfHcY517Yuc9eufIl6s7wDGHdnD+54ujBCG4WPXnN24Zz/2cg46/1yL hqeoO/bPKSly/mDocOYHs+Z5x84Qvh3EObtzzlDOcm0rwYfD0Mcyt6Sooa6f I4VT2WcI4xrMjYI/mbO7sPdo9u+GP9oxdwbz/bGRbTMvRa7umiLenCOOx7Hw rtWXCmei2xJ4zzuunAuOqcv4xvOuY2cJe6WI22LuuBSZPVkvgj8bmb04u4jv 5rPm+YXCeUItYYFwjlAzRc03v7dwbop4MN8E3nlwBWueXwFfi/1K4ZvC+06v ca73X4VcbWE8963NfUo453Lu47tciVxt9Cphn6uFScK+KfLOtaKqjrs+tGJ9 IjLuCxPgr4LfJ0XPslwdYSrf7icsEi4Q6grXCJORsW/KOHMt85a/lu/Nu264 nrjOv4X+Put99qwHrWB/14FpfDeB/S0/nXnLu987rnbibhV8dx1ylnEPnSHs n6LnTmX/DcjUZ70S/nrG5h1Hi7G5z/E7wzF8v/AAPvXcRcy7N7hnuF/Mht8Z 6nF1dJ2D7Fz4XaBzkfdZ85i/K0WMOj5vT5EDjv87UsSEdbsnRbw6Bu5LEYuO Q9cB150a3OkG7PBQihhy/DyBL+3HR1LEge3sWuPe5nx9LEVsOU5uTZGrztOn 8LH9+xx2t81fwI624TMp4qYudroRW92Mbrthy4XY0/XgJe64CbmBKerBbczf hi3MOyfuxD7Op7uxw2JsZPvMwk/VWL8HmXuxV1Ve348Od2J37+m8fBBbPYjt qvLuXr51LD+M3R7GjuYdt49iN8fd09jhaexi/nF8YPs/iU1tz8mMzY/A7ra5 c+RZ7FyIreyj57F7fdafQ2Y6a56fxHl1sGchez6Kj/dlfglr/fXu/iRFHPod 6lxy/FQybsP+ziXn5AxkKvHbJnxsnZ3nFYzdt6p6zUb8uxH5gezl94dzfz3f 1mPfD7iLbev6VYbfXU9d3x0P7g1FjJfhx2XMm38V+ZrIeOxa67r4Nnb4TmiU oxeWIFOT8zegQxnyLdB5PXrazu+y30TtsZl7jRBfI0cfdl32+821eYLmJuWw Wblo9Rz9ebLoQTl69I6i43P0Ye/RjH12FZ2SoycPyTEeiq2tT2t4vwvrQtfB W7/V6LIaneug1xp0K2etDnd9B/tMQWY/6Fr4qezv9cnMlzP22a3wjd/ce0KX whfhJ/flNrrHDylqWCvxrXO8La4WvSZHTF8pelWOeJ8vuiBHzlwmenmOWJ8q WpGjZlwgOi1HbThF9OcU76YTxX+WIh6biv8xxZvMsd8n8xtDtCxH/frU/sxR x04Q/Rr/Hif+2Bx1/HjRfjnq+BWiC3Pk/QGiDXLkdInoOTnq8jjRbXO89c4T 3T7He+tjoUeOvjBdtDJHfZopOitHDbpE9NIceezfC+6vrj+uUa8Tv+OZPx9Y rqpvv4n8cuRd08bilzF877Wq985yZPw7xW+X2uy5Er4U3u8c19UVfHeRdLw4 R52da9vkqJczRC/MUZtni87JUWvHiqYc/cl58E2KXPhK6Jqjn3hf/3aqeluZ rwVdkba8wVaxXqTvco6+tUMOW9vOhaJ/p+iL54qvn+PN3VL0wBxv+TH+YyJH L+wi+mWK3nKa+D9S9ODPhcEaX2KbiO6f473eWPT7FO/p08X/maJPNxffIsfv 8NGiv6fo918I1XL0x4Y5Ys7xtkj8t6IvCkNz5IlzZLjoTyl68zHi++Z4b/i/ k+78f9IrRzw5lhybA4jPzcSxY9ixPyxH/DuWexPPJ+W4m+91qvjfUrw/BuVY 8/zJOcbmf0mRY86vUaK/pni7XJvjDtbf9cG14b9+pLl/Urw/HHOuC36n+8+g rXK8Ic4W3SbH22K7HDnjfCkW3TrH+8N+G4nvzhD9K8Xbwn4oxRf/AibG8Qg= "]], Polygon[CompressedData[" 1:eJwtlOdvjlEYh99zqxmKxt6NvUnsPWPESFCjtEaVqioao6hdq7YWtYmt9t7r X/FBEDv2vH65nw9XznWe53nPe849TuKM+WOyLRaLpUEcvAix2CAebGGsBOvx 6nAePwd98X3wEF8DA/E3jAWwGToxXwNn8EwYi4+BKvhOGIxXhBPRb4bhw2Eb XhnewgTmUxjHwUh8hPm7HfAVpjNPZZwIefgK829PQiqeAuO1DqzFq8HZ4Htq iifAaa0DnfF15mfL0pnx5eZrJUAy/o4xCXbBMubNoGrwM8Tw3pCHH4SA94FV +CEoiy+CqfgkGIWPNj+LYvI6iqFip5jH4y0hHT+lGOBJ5rHTf36JYqzY7obF eDnztadBLl4BkvHJMAP/FsVKeyjPfKn5t/qmND4ANuLH4B/0UgwYD0Ac3h/y 8aNg5jWg3B+Gv9CTeS5jMbTG28Ps4DkqhfdTjPEj8Bu6KyaM++AXdGOew7gX fkJX5gsYi+AHdGGezVgIqxVb83ykwPcoh8rdHvgDPZgvYdwPH1RXUT09hxy8 DDTGjwfP7UrzWCdFZ98Ft4PHYCdeF27hNxVzvB7cCf6NammqeS5UU+3wJua1 pRgcwhPhGf4UmqsXYKZyEzy2B83f5Ud7/Ri90563M68DN/DrwX/bAtKCr6Ha 2wN3g9egzr7N/FvFoBCvD/eCf6PaLIL7wWt0L94AHgR/ptwUwNXgOdqK14Zr wZ9twWvBFfwybMBrQAl+IcrlZvN3yukmvCZcwi9GtbLDPJaqmf14Q3gU/E7p iL+Kei8jeO0Uw+PgNaS9zjOvPe1ZsZljXnuKkdbShaZa05rK1Vzz3lTOFIss 895UTFT7C81rQT3wUnVtXiuK/3v1kXnvqz6G4kMgPvidpdrINO8V1YhilWFe e4qZermD+VnU07pLZ5rXsu7UT9CG+azgOW2LtzK/u/TsAN4IngSPgXpjo3ks 1SOftU/zXtCdp1pbYN7LqjnFfpZ5bykHugvTzHtFd6Jyl27eayVRr+Wb51I9 p/+eb9772oNyP9u8d1UD/wG4NbP5 "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm8lmMa/vruG8lENM4QbbamlKZJGyr7vmZJCUkhTI2IWcwYwxg7fzGL JUuJpNIqLUqqkyMnp5zR5lQKLTRGMaVyXb/r+n6fP+7ffb/Ped/7eZ77vq7r ec7XcsDQXkOKhUJhTr1CIeAHZKEwCkHAroW9iD++CquHeBjsPcTfwJ6DjYT1 xtjz8KNgVyEeAf8K7DLER8B2Ir4a/gX40bDrEL8E/xrsYsQtYP9HfD38y/Bj YGcjPhz2LeJz4ZvCtiM+H74Z7DvEF8I3h32P+Ez4JrD/Id4DmwWbD+uFsZaw HUWt+23YDPsJsDdhU2Cvw8bCptq/AZtmPw72lv142Da/Pxl2BXLvgv/BeZlv ImwebLrn6Yt3+sAmIZ7t7zjnO/acc44953zX8/H73X5/lp/He90LPMZ8n8Jq Yf+BFUP7Xgyr9BzMvch+Lux9e85TZc/1fuiaMTf7fJt7Xe2xhbCPnZvvfuQ5 mLvGnrn3wncJ+wDxKthnsHVF4YnfLoMtcb5K+9lea61zc85P/B7nqfP+OHYD 8gyCLUW8dyjfSs+1zGtcbc98y52jxjmqnXc4vr0j9Pd94dfCfw7bJ5Rvrde+ yvnW27PeG+y5rv3wfgPYGu+ztJalrgdr/IXz8e8bnZf5voZtgm2G/Sw0f+n5 c3+3xf5L2IF4p1EoRxPzg1g8IPTdV7CfI24c+o5cI3fJ4cGIDwq9Q86Su+Qw OUvuksPkKblLDpP75Ct5+wvEFaH17g/fMFQDcpY8Jp8nu4/E5RkYP8HcaGaO kj/NzXXiuIV5STy3tE6QP03Nb3LvcPN+rPc5xfOQT+TbxGKZt1OKZa5O8xzT /cw53vYz5yhpQInnU13fde5NiZ+zjZVPjB0+E68LnJfcmeu88/zMvO/5uWAO cb5K43CJa8Qc8z1P5U/yEp/kQIm3lcUyV4kn8rLK+W+3Jtcz7/nd4mKZ54u8 v7nOt9DzVxfLuvOO17Xc+0xzq8q5yKNlzl3r52rXo9bz8P2SBtQ43yBzi88r Xdu1zrXKY/yePFrtfHV+Ji/rvJ47Q1ytH2Vu83ueLT8YAyV+sncNjM06z8m+ lvhHT16R78dGmeMb/V5Dc2u93yMPNxknxOS4YpmTpb+RE+TUzSGOkSfEKrlJ bA712lmLI0Pnx2T/bbtzNzJfuYbG5tlmz0fuEMtHu8/EEzG803unsQ6T7Hc5 Pip0fhBrx4TORWLkNyFcznBe8nGCbYdztwqdJex/a98F2LcPjA9ioxP8L631 bUJazJ6yrvu4tseH1l3wWBu/c5jPatbp0NB9gnrUPqSDrGsX+OOsNSeFdGeD e8V6sVYdQtrH+jPHISFN22l8sDZd4X9l3dzgHrO/PUO6xlr3COnmFvezwjm7 hzSXc3aD/7W19cSQ7lPz24XwRLxwT03cf9bvGPOSfaaulXBETSz1lppY6gM1 kX3oDN/W5wpxRB0kXva4r7PcK+om+7Xb2CKu2IfW7tca84FcYA9buafp3pG3 BfeIuNrm3nD91AxqB3WOXOa5u6Ioree58qJreZzrwz60d+8aueasJ8+cDq5n Y9eQNT4VviNsa1Hv9vD7/HvPKJ81XYwB9qGr+8hedXMviHeeNcR8W2OFfea6 unttvJN0MlbZt86u7emwk2H/de0vCdWV6+L6DoadEjrPdrm3Z/2kJ+dEubfn Rbm3F4R6S67xrJqJ+DTn3Oq+XRplnF4e4i7P4N7G8JWheJTH+DzS3O5jbBM7 F4Ww08CY4d7JoXbGZL/QGc9znb6fc/Jc53nPs/6aUDzaY9f4ffaY9wC+2z8U 8z5BTRtkPNxobBBLA0LYeM0YGeD3ea/nXYHYGRiKx3hsoN9fapzVeM7+Xg/3 2tc1JGZv9Fys7ZAQfomxwa5thWPijf5mj9/quML+Fo8zP3NRD0e4RuwD93ST 98h1cc/U8N86XuE68Jn6Tv7wbOa5XLojUmeqPE7tHOK5ZnpsmMe3mBvUfI7d 7vE/4n+xeikcLoD93vFc2J2pfV8PvzTE7SpiPKWpM5knxcvL4B9wnbfCTwhp 2KUYvzzVg2ncSwo7Q+CXh7T8EcRrQrx8CPGqELduQVwb0nS+e2vq/Y7uB2s7 lv1KadI41j11DkxkHVK6WYR/KqTfzxPnKT17CfGe0Jn3KuzRFI+nwx5PaQP7 wbsC7wnz4J9MacNs2BMpzVgI+yKk9Yth+6Y0bjLssZQefM19uqdPeM/c72Pe M/f7Suh/Y+roSHIhpfEPkS8pDX0BdlVKp79HfHdKPx6FPZji5+Owh1Oatwn2 55R+3Q//WQineyP+V+g8uQnxxyFN/6e/OcG9mhrq10biJdT30zDeM8Xzr1w7 1u0PGFvr/rCuhVRtuY+XQ3tZB7svxY274OtC2j0GdkOKD+9zXSHd5L2M9zOe M/X9XOrJcI/X+ZnxHcixOnROsIdvhfpIjBPfxPYBiJ8JnUXr2dPQPYJ1HRGq bS/EF6b05QL4c1J6cTb86Sn9egB+WUgz/g67IqU5vVO4H+g+fBrqBfuzItQj Ym2063Yb4pUhPSU2nwvhk1h+I4Rn4mhSCEvE9ZshbG8gNkO1Ge9nxiex5yld 6wbfKaXv5MrrIb4sgV2dukM87P1wL/fAbw5pyBGIj0ydAexnjfnSP/U9v306 xDHyi3owI6QJJyP+a+gsoJbMCfG2UYon5AhxdIqx1D01N+clNvdK4ZM8mxXi 2nbYt6HzdDf8P0L4XxTSMva3PjUg9ZsNcfSdsUTuvhviL3Nsc56d8DtC52c1 rG/qDvRv84RrYC17uJ5nwN8XOr/uhf8ydG7+Df781HnUFr5d6gw+mvlSv0W1 J9dTv119Y6xzbexPF/eoA7UhdWYfD98x9TtQv9T6uLZW7FXqPtEGvnXqtyji 9Dxj9Vz4+0NnHNd7amrNfeA/DN3n+PezUu8Q12eWsA27JKXnnVP75B7Zz66p nvKsmG9O7UddT91dLkrVgnWgrgxMacuz5h55R3w9aIxVhjSU+rk//t4w9ftc Y2pt6g5ETg9L8fovKT2lln4EvyV0llFLhqf0hOfG4NTZQV2519rSAr556rc9 8vtic5y69buUdgX8XaG7Ps+961JnHzk6NMXTw+CbpH4v/BP8ial7E+t6YKq2 FcRj6vfFQ+APTd3hmsI3S93hfgSsu+iv "]], Polygon[CompressedData[" 1:eJwtlXmwzlUYx99+5xEirfb1dskSWZJL1tJ1lQq3qAxGSAtDq5AQNe1RtE0R FSltJEsKrTM1+idjJmOapqkmmqlJm736fH3PH5/3eZ5zzu+c8z7bKRs/rXpq USqV5kJADX5qwaBUKv3JxDT0d9FrQye4DXsTsi50hnOx5yLPgqtgETwEbaA7 /Az3sWYKsgG0R5+DLINquA57JbKAtvAjzGfs5uRvWqPfg2wFw+AJeBjawfkw g/mPkafDeXAn9ofIU6ArPAULoRv0gn3wCzSGlfy/Dcj3oR70gdX5DO1dQ/uy XwO4FP0f1u9J/kZrO8K3sAX6yhdZ3wan5bHZfLsjn3chnIw9E9kMBkNN7BnI Jsk+/wZ+h97wPec9iXw0n9UD9mafypcNYX3yGs3VgV/ht3z3r/i+Cfvfjd4C LoPvYDv0gy5wGA7BRTAQFsNj+b9UwBJ4PK/tCZ9kn8qXZ8LWvKZn/s/a+9M8 pzOOwh8wAC6Gz+CLfPf+MEfxhfXc9QLszfkOFTkmx+C55LlKqM/aWcjmyTE5 B7tzOPeOsMcBxQn2Fz6zjLk24dw5VNgXzbEvzz5pgd4MDhYea4zeEA5gD0k+ q1FY15nz4GCO5bHCvvtS98o+rMvak+Av5qoUA/g3r1cOKNZ1wnOK+QtwKnZT 5N+KdzgHFPvpykXsr3Msb0/OnTMYuyTnkGrlB+Tk5JoZhj0UXmP9eMUhnMPK XX2zAH2/cqzwN09DYqyR4sTYs9nnlfnO5WEfyndDsduhnw2HsYdjdwrHQL6/ MrlW24bnVLOq9Y7hOdV8N/QucJT1I5J7R9ewrh5Sgd4jXJvXKK/Qe4X1VYz1 Q++rGkcfxVgV+mAYi76asdnaJ3zXlvoP6APC345WjNAHhvVXGeuN3ie8l3Jw EHpleE573o/+ErIEU2GIekH4rHGqKeVSWJfPH0B/B70W3ALDsavDsXid+VeQ 4+TD5J43UWcpBtAeduaYK9YnqKbQl+bcKEeOwV6B/K/wHg/mO+pu8onu+lNy 79WdRzH3onKQudbI2tjPJ/d25dzu5Jybnu8c6M/kXFC+qjZawRXJNaLaaBru JaoR5Xq9cC9Tziu23WFkcoynoL+NXlO1Kh/A9YxNQt6gPE/uCeoF6tE3Mfcm 8kTokJxrHcJvhXJuLfK95F6nHjmWuZezr/TmLINrw77Sfx6JfjVMxF6DvSvf QWfrDRmh3hGOjdYsh9FhX8nHq5ATwm9Tyndfg7wx+T/ciz0P9hQe+wDuCL+N eoM+grvCb9HxNyrcQ9Q75CPV4pHk3quaXKc8C/tKb+5bMDnsC/lwI9wafov1 Bj+SnHPKNd3hc+Ss8FuonvSG7hrOLfm0ZbhGVBuK6f+opt0x "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVmXnc11MWxx957rmIlGQNWadQQmSJKSr7lrGN7FvWxhIyxj6rdca+LxmF GEvIWLOVpbEkhRAqmUrKOi2az3vO5/fK/HGec793Pffcc8/nc3/P2kcO7HdK i6ampoX6s6T0xqWpaTtJD8lekqubm5pukTyi8jXSt0oeV/k66dsl50VT09m1 qemPqntBcp5kH8kIybVqvw1R+VzJ3pJnJTepbojkHyo/KLlZ5X9K3yB9p2Sk ytdL3yF5ReXzJftKxkgukPxK8rDa7pXcJ3lD3xdJ9pf0k/xddcMl/1L5QMkB ksf1/YDkQclr+r5Qsl/JOvrf4zb0UPbrue+XPK1+N0rfJTmo5NwjsN99h0ke ssamdupTJCF5zLawzrusLXmd/TbnHlhnaMn5npY825xjsPdJz0u/V9z+jGWE +70secptL3gMcx9csv4lyfOSJ/Cr5DnPzfdoz8WaY6xpf9ttY2wv40dJZmnO mZL+JfcwymuOtC+w9VXPwZgZJdcfy1nYFux9x3O/ajse9PhxrmPNN92Xfb9l PdprjvQ+D9H8b0i/J2lSea70N5IPPJ5xH1qzp4+8Nuu8b5voN9XfjJvkvvSb Ipnots+8zgTJ59a0HaZ1x0tPlnzsuTnnaZ6P9b+wZu45npc1v7RNjPuq5Bwz JV+rPFtyuOQ7fU933+megzGzvOanjLXGxrmee5rrxtvub1yHLbPdl318bd3Y a+OsvnXf6d7rG26bZxtZf7416y/0vMz3H87e/b7VHn5ozvuwwH3p9z17kxwp WaKkfazZoqRm34vsL/b0k+fmOzznj5JaUrNma8/FHEuXtBUbW3ptbFymZB3f c0rayfilSs7BmGVL9mXN5UpqbPkPa0mOwl7iTXIEtkiaJW0lrUr2JR6XL6mx 6dCS8cp5rOj++OQ1xwtxs6rtxsbVrLG9fUmbsGWVkrbSbz2vyXyruy/92kTW rys5mm/J2vRV/QqSIlnTtmLjGp6b7/U9HzlsA+uVJJuUHLOWpKNkZduyYUm7 sbeT6/jeXLKObfiF52DMRu6LvRtbs79jJR0kXb0GdnGem7oe+zu7L/Z2sV7T 81b7ZTP3Ze2zJWdJfinp7v1gy1bW7GMb280+tvT+6XeZ5Hivv7X70u9SyXG2 c3vb1MVrdLGfenif7G9bz8335ZITbOMVkhPtp+slZ3jcVZKTJVtI/iYZaNv/ KjnFNm7hs8fWKyUnSbpJrpb8xvu7RnKqbb9BMqgkrnfzmTD+RsmZ3se1ktPs j+skp9t2zi3s3wGSnpLeJTGEPA9m7OK6PpKJkgmSvpI9JDuXbEfv6H7gKTgP 3u+u8k5uhwOA+WA/HAPuAIeAD8A14BzwEPgIvGSSyh9Kdi3JK8BncBpOAb+A Z4DPYAsYAzeBR4Dx8AjwH8yGX8Ap6Pvrkhj/aHNyFrgM/AC+AL8A3+EacAr4 QQP7WQPOAz+CJ9HvYbcxHvyHBzR4Bt/z1P9dyXDP9YjHLK/72UpyX8l5wbsn PNeT/h5Wkjc85flo50z4Bjdf8lz/9BgErB7lvs/7/Ea6ju/HfJ4NfoF+2vKK 56VudPNiPAYr3/JcYPcYzwc/aHCH19z2gG1srDPGc8Ap4Apv2G7wZ6zb3/Ea wz1uhOca5zZsetNjGlyB7+18/zp7XjAMHPxM3y9JLi7ZD4x+v3kxV/jA84Kx kzwv7RPdBoZOtU2TPOZ9101pXswPPvOYKf4m74PHk237x16jwQ+meb7pP/sG E8E+uAD8YEbzYrxv4D8anKUN/PrR8zb4AnbM9pgG3s/2Gt96jffc71OP+c5t 2D7HY6baFr4b+ESeBwPBUfB4adeBAawBhi7w+J/8zRxg4iLbRDt4PM/jyeGs schj2NNSzj+sQS4CNxvYz3eDNzR4BJo15ttW5mUd8HEZjyGvgW0NjF+2LMbs BoajaZv1MxvZA31ber3WHgMvgAesYFtX9hozPa6xj1XcBv6Ds229n3b+hhN9 63bWWN2+nuA82sdzgEUdbSsYCBYeUxLvO9hu6trbvrXcD+wHH9t4bXBgXdsK Jm5g+zr6G5vWdz+4A9wCbCVnjnbe5Mw3tE0NXG/g/EZua2B2Z9sHrna1fZ09 Brs2cxtrbO5v7Ovmb2xpYGCDozQwu7vb1nN7t7IY77v7jNvbRva3tduwD6zb pizGcjBxcEnMA7fIx8Pt/85uJ8f8tuQ7GUwiX4NvYCS4tIfPDHwD53YriXN7 +Lt3+X9s3Nl9f1fyrQxuIGAQuHF7ybx1kDVvXfIiuMU5gEX0A+Oow/c9vLcX PW8/9wP7wCgEXAN/lo2cmxzbyf7AR3dILin5pqQf2He/9YEuj3W+I//Nd19y +Z3Svy/JfReWfC+RtxaVfN+Qt5aMfAcQ8zeV5Mrkyx3tf/y0RJhrq36I9F/c dkvJuCem/lySRxJXd5X8TYL70FpjI5K3E1vHuw+xdYLr8NHp3jNxc5LjjXg6 xfGEnOx2YuQsxwH9TvR8xNlAjyO2fuM6zuEMr9PBdq3tGBrkdnx9qsdhx2mu wxf4jzzNemd6HO3XuE8/n28jXs5zzBAXF/jMialz3Ydz+IPnJl7Od8wc4vMC MxtxRowd7Bh4yvFykWOBOLrQsXS0fd7G5/An7xV//NU+GeCz62nfX/azM7nU 58J9OqckxzvO59rVPr7cfuZ8rrDv8fHf7Oe7S8bHYPvyavuTc7vSZ8d5XuXz ZK/9vV/O/1r7Hq4JB4V/cs43+qzx2U32G/u7xXvkTG7wuYzDx5Id7I+b7ZPB tg0fEOPcDfxN/N7lmLin5O9le9tPt9pXy0XezwbnQ8PLyEfkpb7uAy+Eu95f Mh/19Lnd63HPl+THdzdn3TDX93Z/5nur5HjGvi15QNKrJDcmBxEX81zPHuGr 97vPA7aHMnHN24bY5jc+1oWTcw94Y3AX4MqP+KwfLVmGQ+P3EW7nd8KHbfOT Jd8Dd3gcY8i9vBlG+tyeKHl2t/sM+b7N8z3m+dEjXM+4J92fNwnvkOttL/4a 4rqnvO4zJd8wjfcGZcY9VNJW9kpfxtzp9mdcZv+8VRjHXRxV8r4+6LHskTsH R+VOP1ey/xCPe87rcr9fLnl3L5D/B9eMR+76qyXvJZyktfMeZwuG9fHZLh+L 6yj38rm1cnmY42mo52AuuE1Ll5cs2UZMjnAOp21Jr0sZPrSN9FuR5wd/aGcO saLLzLmi+8JHwH3awXxydmv3aecxbYxRrPuoMWs5l3l7flDyPYiAweDrl5L3 fUfIW2NLYhd7fLPk2C8c673cb4LvwhTfB+4Cb7X33E6cv+P4ny4Z7zJ141xu 7LOt7Zhgu3i3fizZsyQX+NBlbJzo+blnvFUu9riJP9vTJPf/t+Qj13/k+l09 9yfug98nO67Gew/Y9oP9jm/hnMtE8s7w70Nt3IdzBZdpA4PB3+bIes4aDCvm hP/rayxva8xl/qM8L3PCQfmNBJ51ouq2rvk7zVbSr0Xm2jYqt675O/2y0i1r /vbfSnr5mvENx6jq/6LsWUV1q9Y815Wk29X8n0Bb6RUlr6u8rfRJkT7eXuVT In3G22qpyPfVQpc/ac43KfPzLoWrLK3yv5uzz08l8bMpso36Oe4Hn5nr/nMc 823tB/yHn79vduy7PtynWFawPxs2TTanWlASh4k98i/3tUXkvMyJbmGe9JPH spcF9teL5l3YfbhjYZ7jYYb7wNm4v/zWyfmuLl+tVvN/KcM9hvgEuz4viZ8v ab6jI/F2jPSAyNz/qvTxkdjI2Z7g8+0v3anmXfpA5fci8/FA6V/WjN+7VD4t kl+/LH1MJN8ZLX1cJIa8In1sJG7zP6jzI/F2Lem5kTlzTelZkTnzZOkeNXPE KirfGYkdg1R3qtc6XbpnzTuzhnSvMD+QXimSl7xAjEfymlH4O5JTPI9fI7nG 9tLta+aXKSpPjsSYDtyhyPv4unT3SL5zg/R2kRj7I3cxEnu+Iu4i8eNL6amR 2PKN9OxIPFhDenokvgzQmh09z4vSR0Xyo+ekD4vkTWDFhZF40VflSyK5xifS H0bi5RPSj0TymGekD4nka89KHxrJxcZLvx2JwU+zZiSP463xaUk+uqrq3o3E 3PbSn0di6JHOO+SWw30PuTsIcc+7mbu40PeAWPnSsccdYuz35jnTSuZt9Bcu /6/dfRr5q3jsEs513BPuKjntB99hfldo6fxG/oOvTS3pH2z82ncK22a7DEcD J3p6vm+cE8gBc13Gj9N914g/cje5mjwzy3ezr/r3jswtu0jv5Ht6k/TNkTxy PZ3X+jVx5gTpjSK55O7Su/ru95PeOzLvri79cSS32Ut6j0jfr0YujOQ/u2qe 3Wr6by3pX0Xy9/62D25MLpxpOynPd84YqP5dIzks/agb672Ta/DpmepzZiQP vZU1I312luoHR3LqdVU+MBKDO0lvGonLW6j+6kgeubTKy1T/7lDzvnHXLpPe ryanv1TlfWty/UNr5g7yRlU5av4/uV/N+8Bd2FJ6z8hc101658jzwpe/tT9v l3488i2yS809YP/m0n0iY2Azclekf7aQ3i0y9vavmSPID5dLH1DzLXRgzTxC DlkovSDy/+d71rxv3LU/cFci30V/4uxqvpd2r3nfuGs7qbxzzRhdQrpFTe74 dWTuI+/9mRxT8+10hcoH1Xwv9a+Zu8nbxMW5jo0rpQ+u+Xb6i8r71Hxr7V3z /nP3f10zv5BbiLXfOd6I2XMct83qU2ry1E1q7p+9d61pBzZsWnM91uqGXZFv g83xU+R7rEvNM+Z8N6zpC/ywpcrXRL67Nqq5T/ZIXpzj3DgjMj+SGzcjRiLf zOTRL5xLN665T/bYuWYMET/TInMW+Ypxh9QcSz6eGZmTO0fGDTHTXe3XRr4V e6m8Q8082EN1D0W+6e6WHhL5xhsmPTTy9xXe0PAU3tbfRWIY+NWhJr8nVw+X vijyPXyf9Nm+OxtGxh+xt0HNuCFmNo6MUeITPPk+ElM2iYx7Yr5LZLwSq/j7 sJo+b5JeFJnL942859zxx1Q+I/Kd+qj0/r4XYPjESBzvrb59avID8OSjSEwB 38AnsGkd6QMiuTXYOzYSf/HfcTV92FH64Eje+o9I7AQ335TeOvK9tUMkTpOr JkXmNXIauH1WZD0YNS4Sp/Df2jV9+LDKIyJz8zuRnAA+MCESt8Aszm1bn92x NTkNfObomlwHnrNfZN4kZx5Zk6PATz6NzL/kXs6KfMd5HV6Tu8Bb5knPj3wH EvtH1Ix/uA+8BJ8Misyh5E/i/ZiaMb9jJAaQ/7eK5BNwCbjGZ5F8g9x5VM38 +V94OtYJ "]], Polygon[CompressedData[" 1:eJwtlmdwlUUYha/h7q5dsWEbx9B7sYGAgBQFUUqAAAEihiYSEjpKUxTE3gtK JwG7iIpYxrFgFxApigyKiAIWHJQxiiL6nDn5ceaes7v3K28575dbVJpXkpPJ ZMpAFvRPmUw/UBoymQfA4cgieg08D3yN3g4Wcng1uhN8LPuH4TtYOxNeh7V+ 6PWgAv4HKGPvbfRj8A6gEP44OAj/F7wL7wkuhq8HK+AvgK/g28Cq4Ht2ho/j Hhl+f0KfBD8NrGU/H/zC+s9gCXtvorfCvwQLsr7GZvgW8FLw2l74j+CN4P+0 hY/heofQa9B94fmgBH0/OA5eFXwC7wN6wfNAMfxesIn/bwTzs77HNPho9ivg RWACulzxgy8H3eAT2M/yWwXdld/x6Bx+K7jGkfBjwUfs9QbTWS9BH4QPAafC a7N2c3AMqqHPSo59X9CcvbVgCrw7mAR/DTwFn6V4c7YFmAy/HrzC3mqwDD5C 92CvCEyAPwoGwAvAGPiDOgMfDiYpt2AQfCAYC38IlHCtS9DbVTtgF/p7PQN8 Me/3J/yv6NooR7eDPwkW616gGN6S/29VLYA96N3R/1XOrmavEIyDPwz+ia4p 1dI7IBf+dzSfBibDR3J+H3ygYoR+HTwD3wCGsTcUTITPBWXR19B/lbNv4Dui a38RzxA5WwN9I/oD0AF9BHgP/p3A3s7os3rnKfBR7O+HDwZT0cXoA/BrBPhg MB7+SHAvtAQrg3viZdVudG6Uo2rwz6J7ZV7WuX1VMQzO8SF4dTAjuMdyuXYf 9HD47SCgq4Be8PdBP/UCeA7+OchJ9gD1vt7pd/gB8FZwT9divz96E3qjelhn o2uzqt4H3pgz9wX30BB002RvUQ1di74wubYU86HoZsm1pRoqRDdA3w0fpZih GyX32mjlH90QfU9wD45EX5ScO9VkEbpJcu/K065DN0+uVdX8CPQFybFWjQ9D n5dcu6qp1no2eQ18W3Dt1I/2BtWQctkw2vuU0+Hw85NrUTmsp2vLY+BfgBPR tdAzgz1kIfwW9QR8gXIG78iZXfAlwbmomRxb5eQcePvo2p0Njk72CHnDh+A/ 9i5F7wz27N7oc9G3BedctdFGNRNcI3qWk9n/NPiZTkn2VHmp1k5I9jx53ceg JuePT+Y3Bdf+Ucn3Vg/Ii05Hrwv2pDOSPUlepLX28GWcmR78jAXw2qzdqdiC TsnvqHdTDDbID8G3wT3Qjr0V0V6hteXRPadeWwTqyH+iY70ZtJVXKT/qXTAI Xp+1u1QLwd5UGr0nj5LXjI7OtTznbHQ99VzWMdsH/zV6tizNuncbVc4i9bC8 +8roXpaHPwEmRnutPG02vEZyb+0Bc9B10Vvge3VGXlHZ34qJaqN6sjepRprK q8BS1WownwHmBK+p1lole6Vqrm50jBSbAtAgusZUW5rB+fBno71A93xevQ/K 4OWgO9fqlhwr9eCA6Bgrtnrm+ehe0c8yH/RRLSb3pnq+J7xHcu+qR+UVKyvn izzjKsUrOffKSSv2VkXPxh7gN/j+6FjLczQru0fPUs3MjuBpcKu8QD2js2Bq 8Ax+MTrGiq3u2TU5B4r9bjAL3iW59+4Irs3W0fdWjepbQDNJs0jfBJrljaNn s2a6ZnGT6Nmtmaxvky7R3q5vFH0bXRb9bPpGOia5h9Q7mumdtZ987x+CY395 MlcOboj+ZtK3kt5RXtQmeZbKk5qh50bnVjW6Dt4ietYrBjOjc6TcyAPmRXu0 vHmeelbXjuaqIc3CK5Jjo5mo2ZFNng2aIZoVKXnWaWb8D8yEYWw= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0rdSlkEABdCPDAUFhQUFBQUFhYUFhQUvQMkj8ADyIhZkkaQSFZGcQYKC KCgoUYkGBAkKiBIEgfMPxZl7d2c2zM4mZ2Vn3gkLguAutwn1KOKIJ4EbJJJE MimkcpNbpJFOUWi9DTrkOOF6p4yVhfIN7bwixly+vMdI6DzjUdnKJW3B9WUK xGsi9Egu9BbOaeY/LzmjiVMa+ccLTnjGEQ0cM8xfnnJIPX8Y4jdP2OcxBwyy Rx0/qeUXA+xSwzbV7PCcLarYpJIf9LPBI9Z5yHf6+MYDvlDBV3r5TDmrlLFG DyuUskQJy3Qzxn26KCbam0WRp39ikXk+skAuM8zynmk+kMMkU0zwjrfMkRFc /5UrT9dcMg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{267, 266, 270, 592, 583, 584, 582, 586, 585, 484, 588, 589, 587, 591, 590, 485, 594, 595, 593, 597, 596, 486, 550, 633, 524, 581, 491, 579, 490, 580, 483, 269, 268, 267}], Line[CompressedData[" 1:eJwl0sdOVVEAhtFzKUqZIUgHERyRwICOdETpCAwZAJfeUQEd0psUFQWVh+Mp KNJX4mDlO/mzd3IGOyc81zMbCoJghzMfuTyJCIKPfKCBaObJ4ZS/1BPFHC/4 w2/qiGSWbE44ppYIZsjiFz+pIcQ0mRzxg2oCpsjgO9+o4sE/Tmo6hxzwmnv7 hKaxzx6V3NnHNZWv7FLBrX1MU9hhm3Ju7KOazBablHFtH9HnbLBOKf/sw5rE GquUcGUf0kRWWKaYc3u/JvCKPAooJJ9nDHLh3IBealhfssBTPhHDIrl8JpYl 4vhCPH3uvqGJt7yjmRZaaaOdDjrp4j3d9NBLI0Wh/+/jEfxLNiA= "]], Line[{551, 497, 527, 496, 669, 668, 487, 599, 493, 598, 492, 635, 636, 634, 525, 489, 561, 560, 553, 526, 637, 494, 602, 488, 601, 600, 603, 495, 562, 638, 639, 529, 604, 499, 563, 605, 606, 500, 554, 557, 556, 498, 552, 528, 551}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWUVWUYgOHNDCkpId0hJS3d3SBdIlISygACDl0zdJf0FN1dSgiSi1IJ RQWlkb4TWMRzFhfPef/v2/vmrH32yds9otWAREEQ5PIRExYEK8kSHgTfEZ44 CBZpmH6vifWsjtL/dRxlnctRijKUZqx9CS1JMT6hOGPsi2hRClGYjxltX0AL kpf85GOUfW7NQw5ykZOR9tk0O5nJShZG2GfSj0hPRjIw3D61puEDUpGSSPtk mpwkLDUn1WWaQs9rOl2uaXWFfqgXtKOu1A4ao530onbRWO2scfq5/qLddJV+ oav1S72kPXSNdte12lOvaB/dpF/pZu2rV7W/btF+ulW/1ms6QHfoN7pTI/Qv HaR7daDu08F6XYfoj/qtHtSh+k/ouetPOkyPaqTe1BF6QofrSU0Ueg6ccX7B S17xnIn2t3SC3tYovaf3OcVpjvMv012brQs5xhzzz3qEG0wzz9IFHGK2+bD+ wN9MNc/U+exnlvmA7uFPpphn6Dx2MdO8W7fzjN9D1+z+0LtsY7J5uj4N/cad x9ObjeZeukEvM8l5ms5lHTPM6/UJj/k1dM3uNw30rSbQ1Xlq6Ltyh3ii7abo I8Y6V6M6lalKldB7EnqHeOieJbxmMW84x388YDzl3VeBT6lERSbY19Ra1KAO tZloX0/rU5eGNCDKvrE2oRHNaEq0fQttSXNa8RmT7NtoW1rTnnZMtt/of2UV CcQTR2zY+/+cd/Zukfw= "]], Line[{836, 753, 1013, 1012, 1014, 1015, 1011, 971, 1010, 1020, 836}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0EcyAwAYhuHfTHCDqAlOQawcwThCDsCQycY1UrRVXMBBdKJF7xGdCEvP TBbPvOvvG8nOTE13RMQkxUREgfnOiGRXxAajrDPGJrPkuyPmdJUKveyxzy4H VOnjiGMOqXFCP2ecc8olFwxwzQ1X3HHLIA88cs8TdVI880KDN15J88En73zz xRA/tGjyxy/DrDFhV053GGeLDNv0sOKbZZZYZIEypUT7u3/YQDi7 "]], Line[CompressedData[" 1:eJwl1MV3lUcYwOEPGtzdCe6uRYMHCAnuHtwSWpwK7u60SDkHbZGDu7tsWdN1 /4AucJ73sHjym5nkS+6dmdya2blDcvIkSdLBl8spSXKWUfmSpH7+JKlcIEmq UIFKVKSe9XJantKUpQx1rZfUUhSjBMWpY72IFqUghSlEbev5tQA/kI8Ualn/ xGfe85EP1OQ4J1jINTpxkc6cpIfnu/PVONEvmlfz0JNT5g2YadxFD9KShlS1 1lVvcovFwdoiPc0ZujHfWpq2ohGzzJdod6oZ99Dq2pte/G3emNnxGvQPlrHE fKn+Qy/68FM8p61pwhzz5ZpOP34276ttaMpc81+0PwNYYJ6hbWnGPPNfNZOB sW/mWdqO5uSY/6aDGMJgDvEnK1jq+7/rWVqQaz5UD7Mq3of5Sq2hwzRVh8dZ 6Wo9xwiucJVLjKZu3AvuGI+itvE6zdD+3DYeSS3jNXqUI7EH5mtjr2IfSOe8 +YW4F+7sMnqSTgYDyCSLf5nv59I8k6tdNEe76oG4QzpPO+rcuFu6P+6GjtP6 Ojbuj27Qy9zgOn9xjPXU8/0xejfOxDiTjXFXdLzeI8t4IJvibugEvR/nYDyY zXH+OlEfxNnEvrMlzl0n6UOGxX6zNc5bJ+uj2HPjkWyLc9ZsfRx7bTya7XGe OkWfMCbeGzvi/0Gn6lPGxWtmZ9x3nabPmBCvjV1xV3W6PmdSvAZ2xx3VGfqC 7Phb7Im7qTP1JVPjd7I37qTO0ldMj2fZZ9xeZ+trfjTuwJy4m84zjeakUpK8 /O/z6z/e8ZY3POZ2yvfPt2/huoOG "]]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlgk0Vtsbxg3pKuQaIqVBxuR2v2ig5FGXEBqUoRIh4VK4KkNJg1yZyxwy S5IkIlOGMis+IqLiM37DOZ8hJaX/+d+91l57/dY5633P++599vPI2bubOfLx 8PC0UfP/q+pYfeLwMi5cLjxRto6cQ0px3mkVcS5++JYVOb/9gjdrvubqynAh 6H+1U1H6C5Q+WVb0ruOC52Oc1ZFzs7AIuHn550YuOmXHaPs7ZmA8FrWqVpGL sDX7Pe7rzKBnKmbNVmUuPjW7fFYuncZFU4mrjhT/ln/+zmr9aah5TDGSlLg4 e+vn8c6+KcgrWVQOKnCRZLrzadmFKRwozFTYRsV/8tXmh+nKKVTKmnMeUPmz 897T1lZw8YBhdn/vai7MBxgt1Y5cnJyTl0yS4kLs93TbC5u5YOa+pIVR9byo tU/MHiMh8OJit/QKLgpb1H/5+ZFom8p9q0vVXxasO6ohTiI45QZj2RIuvEt3 Td9/TCCpxHOPPD8XpMO5PP0UAtfvaS/bxceFpkve/JJwAqVHFo0O8nLhIf0z f+AKgd1drXynebj4mKF9t82NQP1mayFDimX+EH+i7kqA19dPhEaxs43xskQX Kn6g8rJVFP+I/JD2y4mAepedgDDFu7u/LqhTzPPfoPrz3yDQNZ3BHP9FQvTQ 2rZERwITp0TobylWkVDa236GgI2f571Uik0Seo22ORD4kzNr7k7xeFNdZJId gVajxCWgWHj5B3H+0wQMXF0kj/8kwXw8a7zmMAH/ngH58wskAgOebzPWJWDR LaR1dZ6Ez2m+lLs0AmYdoidufyWxcqOE+dQGAsM5IaM+TBKPAoezbKo5qJiJ WJoxQMJuIIzvlC0Hj7ezPi5/Q+L27K3TNfwcPD/aef5FNYkVsjaZto/Y+Dm7 KfZZAYnmfit3SQs2ks29ZXbFkijqC7nZ18+ChJNftT61T/FtcaYMRxZC1xEK k6dIqOJrccscE3l8aeY7dEmI9NJE1MOZ2Jf9d6OOHAmet0PsehUmnlxvdJDg JbGzOsBAvXkSQX7bb9rRCegZcXkfGE9iWks2LSudgF2L1G9mPROYef3mHwF3 AqSJTEu88wSSMraP5e0iUCDhK8/hncBs9C2V8iUENKZWqbxLH0f0sT8rLNo5 4FmXdOSTwTiCRjnXM2I4EJxR5GTPjMHScndELjhwLPr5dOONMRwoTVO5OcFG jY+ZsOyaMXSUZBEhkWxoe9qbP60aReys/D7x7WyIeOqUybqMgvE9NM6xj4Vk 187lT2RHcSJNtKL1Cgs+tQVObb0jWEhT3Bi0noXMQ/6nJxNHYOHmwVuXy4RS 0qhn67ERxH77Zle+lYkMX+Mve2RGkCQadbSrfBIdLsGL3mMM2NQIiJ/Vm0Tk 8LrHDRUM9Iv/1VT7hurDGXrZ7QQG9p3UM1Y7MQGPJVdTaFcYONTU3TY8No6j PB56mmcZiAullYseHcelU7KrnM0YKK97vUKtbgz8Xi7ZBQYMdBe9WPx32xh6 W7eNa+gzoCGqP2OfNwrtM3RzjQMMfJjfcokjP4rreFX+zZwBA56CuQPpI1Bh nn046MSAz0Knc/TGEeQPb7hiEMBAxA+rJuGbDIzT35Xsyaa+t+5DsDlzGPJD 7Eh/OgPshwrO9lbDEPlHx3FaYATnh+b/lW4fgoSiV3uSzgicX8qwjA2HcJz8 QzDs8gimdKe825o/Q55WvWS8YgT0l1VhNkc+w1Fgz7uhxRFUuU83H7j2CS6M geBFi1Fovn665Yn7R1wULtN/XziKpGyJ3Cb3Qehj3yCExkCrufb9QsAAylLH /9zqOIbE/d6H41M+4GfipcnOqjFofNHPkm3uh5pFQYK75Dh423J6Fnn6oZ/3 TsHfeRynL74s2a/Xh4HwpKLIF+P4xOv+fb3le5TlPuTbLzeB90bd1ky/Xqx3 4Dd9cGMCGhI7Lfsf92Dig5BH2OAE0sdccyyJdxC++5W9RH0SCikjVfO73uEW R+xPw2sUFzpG3bzbjee9lu9zmyZxyX6XzKeZLnQ9W20UIsSEZLgPe5VNF6y9 3tpbGTHx4G7qyktsOvjNpjINvJkw1F6QjAygw774xDvfDCbeC/MViEjT8X1+ 1VqFVup/tDyomFXUCd9ru5f7TjHRo8V7SNisE7cS9yjlrmRBq+h2ydIvHVDl Nywd3MlCndLa98eTOuBsNZW7z4pidaImaGsHfIK2H3rlz0KnqPJBjYS3kJYX +8aTzoLT1LDZ7XdvIMpMLqHVsXDOsKHl5uo3UAvbvP/WEAunZNj0rLPtiHYW KVD9xQLL7Wyq34s2LH10/K3BGjZiVa+8BKsVQ8Mdf0ObDTWFXRPLlFrR4P6b s+FJNvaF28xpubSA/l2QHe3DRnfp9IhucTNuBhYYm8SwEcWUv5eytBmxxUvk 4grYGIopEvtg24Q6QmrHnUY2fqzPeJYc3Yi9d87mdI+yYS+xYy2tswFnN/aZ mPFx4NuXnvlZugFc+VdS29dS94IHkyXk9BqGa2u46Ts4MOCd91pf/QqeatmM soMcnFGSC46TfYX1qsdYsY4cWGlNhH67Xo/5v5UeHrnMwXSYanAvpw5uYYsk bxQHyTuLp97Y1qHaXJlWnsmB5DXx5Bu9tTjovrcr9DmVj2cvPeVYLR7T0m8F NXFAa26OoPfUoJY32qOsjwOhg1bt70/VoDrk9LktTA42HFkY+UB/icRXw1tm 5zlQCHEOy52uxrGdyQ6Sywise8ZnfmW+CqfkD6+kyxC4ad05nba8Cr/uCW5o 30SgrLvnYIBiJbz+ahYX16Kej11khRpVQMj3pX2+AQGRVLEm/UvliHHovp1j Tukff0OOa+QLXLNsNf1I6ZlPsKVPYlEZrKc229l6EVhx0e615qdSONabJ26/ TuDxglJHtWQpspcn1LlGEOh5Fuj6yOw5OALdVUJJlD59/D3Sa38J9ikKvz2f TyDYo6O+3KgYnW2RLjWVBIwajILNTz6DWKT6D6k2AvIBtI07/IqQv9fWK6if QMjXO/HO2U/hGJ6Us2GCQPyERqboQCEcRONffZkl4KkY+MM1vBCFk/dM5+YJ XGvUC/fXLUSu3f7MvkUCQXEmTh7MJ9ipaZKfxk/poPNiwAZLis+t1zYRJDEJ 1w+zDQXwOp2zdlCY8ieJdtuVlxWgQ7tS4yPlR7oslqaXHX6MzBCez09XkZhP E1D1ScmHn3Vg3/F1JPxKbRV2ko9An8us65UnsclJzOih0iMM12/tUFYl4a/z nJl6Jg//Nnvo76VRuirczujNfQjvRd6LSjtIPBzlvS42k4ugQt07fbtJdCcY r938/gGMVXQni/UoXVfZ5RvcmoPI8+BbbUqi55hH3YG2bCxNqHf73ZxE3TGV hsy+LNyv3LA51ZpExhO/xe7pTNgcCM1vcyDhJPRT65pdJmKsy/QOO5M4KKD2 rLk7A1e65FYXuJHQnG5tDDTJALNfpmDcg8SEXOBcUFM6onZYuSxeoHR74HlW 9vl0/FHrV9DgTcVfYSVWIZWOhYDLi1cpXyBissKsvCYN7fSJBmV/Ep9jysbi 3NLwRkraszaARL1o/KazmqnQjrRNogWRWGghdNQLUlAvaB2hF0a93yOVvEkr GZc0vdT475LobYwyWOy9By9GwIRnPInQ8Kjdl28n4sfdG42xydT+xOYQ100S IKh07YxXOglSLN9McEM8dHbPCYjmkFg3/lhImj8Opp8iCt3ySByazHVe4xsL t8LP0bfzSbwd5m8rn47BxaYGmQTK94SPntPpd4/B5gCyKKGQRGbsoRe23GiI fOW2hBaRqHRwLWj9NxpMjudKxWISIZusmf5y0Qis9LYqKSGxb0HCzrnqLsa/ +7Vrl5J4yTJy8z95F/HvWI8qyigft3jSf1r1DmqTQyvtqkgIaf62eZNoFHQu HCwoqSURKzRkHxYXCf5U6djqOhIDl/bulROLhN7R+f66eqr+pr8SBSIicFzh WGTdKxKDTuSeLSIRyC8611L1mkTSi+59URHhsG8bzCxuIHFjz2dT2lwYjkot yxpspPz1JmvFpXZhCNVhHOZpJqH3vJTv15tQnLog0SnbQvW/8sR9Qd1Q7NGb NdRopc572xStpD0ES/s3EmJtJPSjI05ah4Ugxviq2h2Ky8f/yX9oHIJI5hYF 0XYS/wP77ILy "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwd1gk01c3/B3CJqJSUZItkSVFEike8qUS2ColHPKkshRQhRCXJniQKWQrZ l5CQZM2WNXl67Dv3ut8vwr0V+d//b86ZM+d1zsycz8znzJmP2CVnIxtWFhaW Pmb//zHxEP3bPnYG8oy0ZC48XsLt2WAZUw4GFk5x3F62XYKQrdipCB4GxgrT AkTiFhH60721XoCBkxovdkb1L2Apqo97/S4Ghifk2b/LLuDqy06ajQQDDMua xsRHPxBWGtNQLsXcf69TusrKPA7btDBS9zAQ3y7Rb+k1D0dlX40DTN+ydm67 /mcO1UkmB6wkGfhHYezmUOActhseE8NuBgJ9BweVBOZwayFa77+dDOimqBms 5s7iibrH8goznnzOae1R21msLtTxB2xnoCfdZVRObBbiTjqVblsYqBZU/RJW TqLkUSh7+wYGpLICLflVSFBt9BgxbAzcZP/+s6mMgGxL/fPItQzUr6246vqG gOaFY5VBrAxkXqVYHYoi4OSXdt1nDQPKM4LZm+4TOGfak+HEwgDndL7EqhMB xZUN+kZMqwtT4vkdCSRoO48fZtoh56GRwjUChj/Y3IWY9jO9raVvT2C/ivCH TUzf5jxpaG5HgOV/jQHb/zUCYROVavOrdHAeuO3rakNgu6y+5xjTJS69qfeu EPgdvUJtYNonSnNb3CUCPruGz+UwHaMzXFF8kYB7AP3dE6afG+eltlsRiFC8 kuD9hw5Nc4M2ih6Bsakh/ksrdEgZUnKFVQgEbzHcq7VMh/zpSAFbKQL282Gd Er/p2Lnn2Vj9NgJLbeuO8/ygo9tUbr9/NA05NquD1hQ6mhwfxZ/dScPCXLWy 4DAd2soC/qtvZiDPndKp1kNH4udTutaHZ8CSxZBub6HDnCfpsEEDFdML9zU5 P9ARryRMhktTIaSZsm19Jh07wgdjN0ZQYD1tKjgQTce6Vl4Y/ZnGWdl1SZF+ dDSsjfv222UalP12lQed6NjzN000kzaFyIrcy/WmTN/6J3fd9SlwlggcIpWY 5zle3XqubhKhNeettLbR4asx6a0jNYk9i998x4gllAgJbDoYMYG4GL97kw1L UNK97OjKOgG+v1Li7JOXELZuqcvvzjjOdXWZ3L+9hIyCV4ODK2Po2zPkrWvI fDf59pN8AWMQ/VF7i4t7CWwf7sr/GR3F9tRvbIFfFjGwMbBR23AUl1ebvFiC F6Fx9esOes0Iwvab/C4+sYiCC9lKsidGoLs/5P74ygKSb7BXiLYO42fu2ZGG 4gU4HPA2FrUeximBks5oxwXcWe/ZFrw8BLXySKXb3AsQVDdONAkawo7uL+0m BT/wKHayyk9sCPf9lTL8jX5g63TgDdvAQTjk70gy+zGPZRU1xb+GB0CxsCwS jJpHKmummqD+AM5ICuluVprH/ObWwLrP/WhKlPC48W0Oi1a+tULGTD8p01S0 nAO35dvyxY4+1DcHDruMz6LUS0zZ2K4Pk90PYoOcZ2GawC/kw9OHrsjH9wPp JPjuTnGSrb3glRGrrOclUSXKTZxO6EXecf8c5SMEGjdMJTj49mLTK7Ln0D80 pO+WN99/vRebT5w9xqE/g6ozsjvXOPdCa0mhyvg4FVZaPAmHH/XCo2VNlbUW BTc3sAuzFfciLduR5ZzRNHRv7FNrXOoFX3yDoOK1KRixSaxh1+sDdWW961To JEp8t5w3yO+Do4RIsH7ZBFqa46V1JPtx72GOJWvWOJbDJLxs+/rhXbqs9Dh3 DFyDIhJ7swbAsl8jjbd2FCHyOfV64YN4In/maTxlBDzzC9xamkP4o2Zhslts BB9Ual+erh6CZZ+yUKztMJSiCrek6gyDfY8bZal0CK0qFOeszmFw1HkayQkO IcWTerrbirnOb1jXj2sQKzSZ9HTqCOINJJ7a/+qHu4hgWZ3HKKrLNBwFSvuw SenNscI9YxgWlS8oiOpF91bFe4c6xyD90f70dNB/yJMgSC+3cVgYs376/Ow7 BP3WvpDZMoE/WuLir4v/hYtbeY9F8gSu8GYq75zsQQHbeYlA6UmsGhu2i0j3 IG2wPykgdRJZ3ZvOdrp/g07uB3UP/imc68gnkN+NjTvFqtKjp3BkSu7ET8ZX DCirFkRwTENPVZoyZ/gV63jLeM46MvOQYiHpkt+FvJETXBL103j+myN/vXAX fp2+KHaSj4J8oxBe/4hOqF5y2TJpScHvDzzRA1ydyChKdtqVQIGLxWocIjqg 73rq6WwPBaM0DS9SoAOU3qjPylxUsIfnORtltKPt1OXwClUqam2SCkbV2vGv rKaJtB0VZqMcjnwf2vCno+CTYygVvCfiRFbXtuHgO+cja/OocNunoL1o1ApH jTkZzTYqtiYJK/qkf0F8rLWbM42KH7uvCexl+4J7h/Zzt6yfAcfJREa0TQtm r4wWhEjMQEf7v6/XW5pRerFetVdtBiPPBFVMFJshUvujL990BidCfvZcTGxC VpnQ5VPXZ1Cv6qWrv6UJo5UHImr8Z9Dg6nn768NG5ESeKVKJncG1OjR9WG1A vay9Y3XuDCiv5b2/+DSA31lb82b1DGBh1H5ibQM+LrZ4dX2dwZotG9MMQj9D quaK88OJGZgXhQlW8n9GjUzsnqf0GdjRx9lc0+thftf4NAcnDSLNcwVaqvVo L9/gQN1BA/+Ceub2jjrwvuxYq7OHho7s4gonjTqUqZcr8hyl4Vb85Nzu4loc D3nMO3uahlOkvDLlQC1qAlqdFy/R0HU8Stc3pwbNQRKS8m40hHlb8STK10A5 eYNPTgANDpsiRHjeV2PlsIydZwzzfzD7GG2iWI32vZN8gxk0iO8K+5hWWAXG xECFZzkN17WCxKqUq5DKb+Ju2kKD5XProEvVn3BUcaf4/T4aKoO33jU88wlV ETrRbDM0sIj41MhkVeLCuvePXy3TwKO/o9O08iP4fhi4B3IRMNUMfx/TVwHN xrKaKiECMn0dizdZKzDE9nHebB+BhZPxHC7yHyDFOxR/XpnA+JKA6apoOcx7 3q5z0iXwyH7ZpkW4DF4TkA23IHAn6avKT8lSCF9qWvPFgcDNTXw5pX+9B/X4 8zcq3gS4lLHB+O8SHPxPpngkiMBei19ygv7vUFBfebM7hkChh1k2y4Z3KHV5 71yTSMBB68GRXU+LwVk5rXabWW/EtCmMWIgWY8UzgHspl4DSajTf89wijHoY 0NXfEdCzVn5QplEEdyc5mkkFs/7QJjkyuwsxM8vboVLLrFfI1ymGToUI1M66 RjYRqOHotH/CUQjaQV8Hjw4CrjHfHwRJv8W31o59nwYJ/BE7urX+XAHOfeHc pkQjICJWKHAtPB+p4lOSEz8JZCwX5Jm/zoPCsUsNw+wk/CrHknPVchEp/opF iYcE3fVxsT8lGyYPc7OpQiR8jRJtM1yzwVPz5myWKInPNIcyztUsqGSvOWQm TuKYVbnus9AsbI3vbJ2XIuHDlyB4TDgLG424nnnvIyH7fiCCNTcTfvbiS/P7 SWSZbU67sTkT58XP7ltSICH0onBOxjUDgbrh7t1HSET+rfKFuy8d8kfv7ow8 SiIoIlnqp046vF1uGO/XJHHL8sHLxOA3kJTjyhDTJjFwozBkujMN7F0TbIP6 JORXshnhYmmIitj23c6IxL/2GQV67qkIjWdz/3ieBJneIDnYnoLCuy/Xj18g 4WXzrV0u+DWkZbm+c9mROCCsqN5s/goNFkfO+N4gwTuyI2xCLRnJc7WNOp4k kh44Oo4dSgL1LG3a8z6JuR5Hk8KlRJj2fq/TeEDi14vkQauHiVjqTI1keUhC zueZX832RGxktbtSGsCcH9x0/fubBBDiNhcdAkmoGlxc80I1AWtKFNL5gklk 3Ftf86v9JerVLc+Xh5C4k/3pq5HeS2z3yPdrCiMxqznqptwQD908Jbu2xyT+ jLFrvtSOR0oxi3rTExIJHL4Kro1x4Pyb0Cx/SqLYmJqabRAHvrefsl89I5EI XX228ljcF61bGI0hUfR+n0CBTCyEDp7u3xFLoqz/5WR84gv0Wd+oVo8ncTDk zsm3fC/g+S5n2SyBhCLrce13r5/jnv2ZTuEkEh5dA2NzCs8R5h/V2JNMwqaq q8SsNgZDW6K3B78mIXDo36yB8zFo9mGfUkwlYZ2TtC55/hlClDLUcjKZ+Z73 uyOVEgVh1aLx5jwSEwuzbp3XnoL/4RHX6CJm/PVlWXu1IhFhPkBuLSVxtW73 QNvBJ3AzUqWcrCDxVy4Z6y8XAaLS/daRKhJr+1MVNL3CkXiPR3y6loRM3HF7 yU3hEDetGKyoI2Ees4PtdXIY/vQ53X5cT0Kvptqv8EgY1gsXLFl+JhEcpOB9 pi0UTjbddnsbSJithr5ytQ9FQNGG73NMc7x6S6uZCcH2J+ldI40kVh59aD/p GgK64KJXWxOJi1LJXnO/g8Hv3TlW0sy8bzIpICE3GOa2rR6GLSTULxaO6wUG Q/TAQ74XTDtT2XIVLgUjzfnCiVGm/w/6rO0B "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Xc0198fB3CRUlQkVDL6khHVlxYlT6Sk+mZ+UcgmlVlGISN8+Ngje2Tm 80FlZJTdsFclMyORFO9slfi9v3/97jn33PM453Xv63XHOXevqZ2mBSMDA0M7 2f8bRwsUltfW1iC94ZNksNk/GLLoiusrXwGLxpBpYZAqmC/OLApW/ESp0UHq jtWz8MmvHWTWXESHkf6nXdxnsHm+5Xu3/hysWOMF8tSVMc11WUqx6Qe0xhwt z9ooQ5Yy2z0oMIVXvoImCepn8GrQc0Om0lc4Of69vmPpLAQem5yrnhjD83Zz 4W+OqugQzRJ4wzCKUZHHLJKjF9EUzN6a5DaMGOcNSoxV6hCs0B9UjxvAcuhd xq0vtbDzVUIId1sPtvg5RP5VqAsrR0rZO98ulG4JuqDdaoDma1mNdrlvMWJR oLavxAQKIb9umhV0ID9FPMGFwQJj8ja7vftaYXttVV+C1Rr8poGW6YVNUJDn rzjKZAsGRfqVxeF6iIpzdRxkd4R2cqa4kcFrTOpd7hp/54S2/vzdZXteQqhR v/uBy100rjBLvNhdC65yfxaenV5IW7/+/ernagz/CZFWPuWD4yqLHNmVlVA9 IrE76KkvXNPLStIrXuCN+t6nHB4UiFRbDRgMlaPxd+9UwBMqOoM2FV8XKoNP Hv8eQ51QhKrrnQvxL8HlcxuvLClEQJTOKXuA9xm2jrlzh96LgkT+EwOWhiJc mVon68ASA1a5pHUxQYV4H0BhcpuIw3YNXxMr8wLkzgaa5YonwdIw+vs+jaf4 edB2FT2pmCtb4KOeeIK6uBssBTpp6GcVvb04mg+G5ZKIcyPpWHuW/7gjOQ+M ydkbAkIzISzW4GVilQtiTO3IKZNscP5S//UTdPRd+WluapCDKMFooYpddDSU p54TzsjBRyb6oeo5GmROPWV4PJmDRde5CsY2Gi7YxAasO0xD9u131/1zaDj9 97GPgu40xA4JXWzKpEHMtZLL/T4N7ZKhHVvTaFA4mW/YS6VBo/7nklYyDZ4d gc9kImkI7rpZ7JxIrjdwf2ziAQ0J8f+1/48HRyOLKmNp8HhaFqlKzrNv5Fwc IeOyysq2/XpIw503fC37yXXe3ErgMCDr+DEnoXw7lAY2H2+hmidk/tl9V6vI vB7fZ86IlNLgpy7B88aChmP8OxMfrKODkzf9EZsiDYXW29K7LtLBoVdcELGH hkbaOdOJODoI9opu7eUcHBYfmmgfo0O3n2P0dN0jXGPizJMpygfzfAgHb0o2 ZPS0PNaZP4V/WpHTHDULneJa//BzFeLEl3j2WUomkryN23l/FIFtOui4SnQG aCeFP2D5Ga7tOKhQ3Z8OXkedh/YvSrF+eVO6pGQ62LdG73dKLUdXqWi2tF8a 7Mc387Flv0Cmi94h1/GH+LpMdBAdlRBaqvJ7pPYQ+1Oq7SbYa7AiXdTcapKK VXWKealDLeo9Nxw7eiwF6h2rNlu+12HSq72hiDcZgzOK9kNeryAqYLbqyZGE nSZt+5mk3oCNyau8mzsRR25EXBL9U48ngwOv1/YnYPPtsHvNY42YV4o7Q1mK g8u4WZTdqxZ8MeF0W/0YC0+vU5tK+9tR/UE3M2EgBloLkmInHnRCc34suFAo BsmN1MdBM2/x780xk4cuD9B/vteD3/A9vnTKumR0R8OtV563+0MXcgJjq9ed jsaBZurUZcNuXGutLN1YHoUkVq6JLUQP+kICTVhko3DZ8VvAXmofpvsCLQLL IiGzkUd1WX0AmRxHTRWUIpEwJ7y+hG8QY6cT+a53RSDbfa/ljakhrPuW2nbR IQLP+OUjqYPDoD7jkJXhisA1o/H1Pa9GoJVfWutXE44ju784i+R8wjxnrVOc YzishfUbOCijWNlpLzjIHY78Ri7HhZTPEN289qg8IAyO0nnT0/QxuM2xSG6d D0Vjc7EuI20cSQkzap02odi6dkfhaewX6DCz1p+fD4Ft1b7SRacJ8BayvCT8 QkDo++64cPorvGUX5o32hkBT7rh66NpXMMUwGpu+DsZngU2Ff+iTsPZr6pTU DMainapwksc3zB/qNh6cDMJAip0F3+HvGLbz9WFIDcJYyWb9FwXfsRrcMPFA Lwjm69aY8gSnUEK5y9vNHYRJ5vOhDt5TmPViUN3VS4UgFMIpXVMYCrx3pymF CqlRDVzmnwbDUoWErRUVNzbYVZ8wnIazjKV+gjQVTkd5jllEkT5b93F+LRB8 4iOsC7XT2P+jectCTSCs6EnGhfPTsK245BPrGwh0685K8RPYIiLef+N8IOJe azRtVyCgWlftwrM9EFnPxbIK9AnYSbee1+gPQPzvyhNSjgT848KcBrMC8PtR jIGPL4E/d2wpYQ4BaGZ663kjigD72DYlefkA/Fs5GhiWSkA7LWrgJ2MAVMze XV2jk/Mn6XJ1DRT8+yNIY62IAP34jIZrGAXPf4sI73xBwGFP0ACTLuk73bPF NQR0+H0HNQQo+KXSfEf8NYFlnoPXtCb8cSv62O7SBgIF9Uq5KwX+SKgs6Qxv JuMT5x9nuPvDTbIip6+VAG1q/NaQij9MT9UklbUTWEz+ykDn9AfHgXAtpU4C lIvmjqtDfnjDJyRHfUvgOPHsRU+eH/isuopS3hHgcRtyPnrXDx/Oxn6jvifQ LiVezXHOD9L2som6XQTcNT//FtniB7V9BcwSHwhsc5Ncm3jrC+6NDcKfSd/7 JhqvHe8L1q2TNoHdBP567zZjaewLO6e8fIEeAuK0ZQc+MV9M/tN7i076eqpK idOP+9h0V85KspfcT8I7oy9P7sP6g6ZBBeniDnqolP19hPLdOnCmj7y/wZMM GlL3sTop59lAWqdCJkppzgfqTQLuKv0EWB1bFZhKfGB91mO5jvRp61884Xd8 cHfz0aCTAwRM2ELBesAH60LY+t+SNohZbWoZ8ca4k0Gu5UcCA9IzRFusN57b mJstkb7Z68DMpuaN78MF5/0GCZy5mex9b6M36C0GUexDBFb9tePLCrzgt/u+ WinpyEof08eGXhBhp/teGSbPk9XEVofVC66Hx//9RXrVcge7mpMn3Ns0PsaM EHAtlrHW7rkHzoVgnkOfCJifUMpylye9RMi/Iv3lqP9SySMP7KU3WuiMEijb xrkwy+mBjc//Th4jfSehepf1TXfE6PYuUz4TGD12svh5gxvCzAUiRcYI3BqL Zu0Qc8NGzQivWtKy13uZIoPv4rMbS7/eOAGzjjbrtQVXdL8YTf30hQBzdP23 464uEKhhVdH+StbzWdGCzuEMZ2fFy08myfelU141XHMbF/oylBa+ESi6msqz 1usIxqw/ci1TBFTsIs/6WzmCW7pi7sQ0gQcrk71tSw6Yqm5ifkT6BuPa7Xqq A1KKJF3YCfJ9LfVsMxJ0wPsdB664kJ5vDOf2K7OHHN+VN/2kh3mn+Vot7PFk K0utxA8Cxg4ZXUU77CGf1it6l/SujEMdJlQ7bDc4zFxPumeLnL7rtC2iCnuN t8+Q931EhWKoYQvXpZeXrpLO/ZLqd73UBl4zAs9ySDPIrJSFCtpghIsvaYa0 rJyx8k+9G6ibmK1qnSVQMzyd7plvjU/KAspJcwRWNp9YNd1zDd1RlsxX5wl0 f2BV+J1hiSiYdXIukPkDt+fznDZHOy28X3aRwG7Fw2lZf5kis6a9TmGJwBS/ z0p9hgnsVJwZ7pGez0tbthIzQUS8rHc5aeoNncmbT42h2FpvNUda2jI2sOqk MSa4pasklgk89/qdSo02gqjZ5numpFPjS1pa166CZ/uEkT9pzz/J8502V8l/ zjaRRprT8ttw4KAh2NpmD7aQ1k/yTZzQMETs8xi+adKrJ3J3DVcagDKc3cXx k0Dd9JBFvaQBLkzs6zlCOmVswjosRR/yj8PEdEmHnSleFXt0GT8/MSd1kCb+ Um6sfqeLjbxBRoq/CNzmaDGq26uDk6XgpJN2lKuprA/Vxny6x3nW3wQY2wdj 2z5pQSTu+MsjpP+whg/fkdOCTuqeAQPSO9iudcQnasJNMC3rPulkVTshvfca uBe+sbiItH7+q1x7Lg2EnQyoGSH98U+vUvBVdZjyXe/bskJA+dSlKjFedeyk Oe/iJ50xbC5aWqCGrQ5S3AdJj1AaXBQOqUF210zHqf/iT+o/yH57Ccl+DL/P kf5cuxQs6HIJNLxn0ib9P7EHhcU= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Qk41ekXB3BJqBHZKnUjMSnKGinpKISoLGUpWmaGQkkqZWSdiiwptMlf ZEnFZKmsdUQbF9e999VitNKq8HstFSb/d+7z3Oc+n+d573LO+z3nav6219VX UkJCooQ9/3udkVBgfHEuwUwJBR3vlGFo1Zndoq9FcLvj/yKnRQ3DRCV51XuG BOMqLeu26g7DYsmqbT6WBFvntKhufDEEJcafDFUdCL5/Jdmjdm4IinWyb313 Izgl/e7VYfchyFvxCfdtJ3j46A8Byg+B3dFHRBxI0LBxwbf+lkE4W6/wySyU YNkuuS8FaYOgYuDwsCSK4ArnKtDYNggah6JXbYonOGCTlVNmMAhbrJWCn54m uDqkxWJsdACM1pr0bMwgWHUqc1C7dQBem4Sqf8whOHYwekVQ/gD075cpKSwk qKFWFWMaMwDLvf0F1/8m2B1p69m3fQCkTlb/KXWToDLqX9SyGYDtB3bVNFQS PFC2yTlAdwCUv478872W9efRD01/5QEonCt1obSOIMYOWQl/UjCmUTZ6DQSv OA1l9vdTyPblvQ98QPAv/4mh2t0UUjzKqw89Iujvbybl/oyCnHldkWsjwYxp RsnBLRQWiUa2SPDZ73Mr09nRQOFSxspZQcxTlqW1P6ij8PoNn/+MOTvnbKv5 XQr5qS3RVs0ELxvvr6uqoZB3Qdohn/m9p8kW+yoKzjFhS24wx3W5nJzCfMDz 4swq5s0koau5koKLbPBQPbNeUNPmFOa9aTJvHzEfD/qUFcz8uPm/B8FK9WM9 LsxbPV1rhcxZ/nkqJsxH10249oS5p9RtjQrzdKnymNfM/fNbqp9UUHBcJ+/6 mdkpKMTlArMyb8bsQeavOQZTvJm3+Y37bmxh92dtfPTnTQqJGmHvSpmt32iN FpdRmCDlWSjXSnCGUZF2QAmF4HH9O38wH7ftqzD+m4Jhh9f1AgHB/T6Fxj35 FJp1v6o1tBEcdlGa6pxFIWjOS4k7QoJ2jePVrucojNau5p0TEQQP9aF3pyik v4jvcxMT5DUUX/43gULZA2ppRwguinlomhdLoTdSiYwzm87OcXUJp/Dvuezm o+0EW1JNyrsOUJCcenl7J/O2K7cOr9xLgXjMkpZ7wvrDfY2yD6Dw4mZz3Ezm +0LNNz2+FAJib6T1sfM5Vit1522nUCWyzoxnduN3WP6+hYKEXtDtXvZ9q84c DorwoPBKrNWry+wUb+prv5FCkkRKvg37vT1dFZtzXSj43pn9dhWrZ2WlVtH+ DRTMhTYndVi9S8YuX81dR6FrLdiXsv7IHj92T+hIwY4n6aDF+ueh5a/mvZbC siUTLWLZfShkWpjpO1Do/tyDwiaC1/JEC83tKYR2OVxXYfl0V1pzco8dhSvF bobrWH7PH7hbc38Ne/+6aZMiWL6TyI3FZsyS6nqR+Sz/1Z3lsrW2LB9nA/Ie 3SNYvPV4rQvziyJf224kmNg9WD1gQ0GnZujHX3fY+dHex4nMnZtX/uTVsPsI vZCqz/xZ4/7IDTZ/Us8+znluTSFW3d/f8jabt/aPFieYfS1Lch6UE9wQ6exm yaydavLWvpTdn5LD0sHV7L7vCxL3s/m+a3+iO5c5UfqV1fnrBCcKnOdvYgYP izkVbB9It+/eLMMcVCA0assnqLl2oXz1KjYv0c/jui6z+Znr2L+bWTLmFy3u Euvv3sBHGszZyr1e6pnMxz2X1lpRuPz5m/zq8wTDA/jTPZllR46ZeacTfHjj DQwAhTPqCvW7TxHkzEbOJzN/UJHP2Z/E8i2onKbDrCHNC0+IY3lQ6PcvXEmh RtB0KTWWYLNBo+sC5oifwT2JEQRf2PXWFVhSqDgRvCz0MMHGeq9iLeboD+5r NfYTXF/kKZ2xgn2ej1J3xR6CfgOPyuWZa7yjOmEX268v7UpiLCjom/LcDT0I fqn+WNi4jMLN3iVJYlfW78UBPC/mPPNjV3avZ3kLuxb/wZyCOATTR9l+z2kv /nyAearTdatoW4LBynusJjAbW0tlJQPbf4ueV+9cSuHevIB/45cRFHw7tbXZ jILM2U/GISYEXea9m2/APH/O2TdHeGy+XJ/++tKEQpyjuUq8FMH67BljIUas 36ZpkNgjxvU4E7/oU8gZ9r4VIRQjPpELW7uIQof74KVZTWJUSzxkkqjH9oN0 dndOvRjftZfcatRleX3csVG5RozlI9e+T2K+fufmXf8SMUYuM6ziFrC8XJUb T88Xo4skSD/XYfVscb+YniFGw/UrxDXzKfweKFDdlcLOE0+ljF8p1Jo1O/Hj xBhhJ3mJaFMIPJVgMCtajOGuIsWpzOJXWuc3HhajikWRn7UWhbWpek6JHmIc 7GrU79egcGjT9UpnCzGuC4orUZpDIdVGPWCWuhj3ih78MnsW2z8qu5+9HRdh yK60LNkZFFR22ebkvRahpLCddCiz/48ffQbDT0WYYJ5+9rsShbHRcYGJQIQ/ bZxWqTDLVVjv9Hkows7e0+LFihRGYqWnyVaL8Jar2oIvChTUPicqJhWLcGpK YHCBPMv37o+6n7JFuDQ3N897KgWz6ZM6u/8UIb9Ivj58MgV+qo7Jp80i1C7y ubJUmkJfmWbXpOUiHNK5x/tHks2Pf9IM85kilEkzeOw7zsGfCseWRwwJUca9 0uvpKAdTDvJ8J3QLsZRbXSY3wkGv8RMJR5EQZ/wqFlh85yB1YqDQq06IKdOS r/4xzIHX+rBdOteE6LJj+sE5gxzsnJ9EMtOEqOD/ijRzHPgpTG+sOiLEHRL3 akP6mNuSJ0T6CrEpPVhT4SsHV9OmBhUsFWLl4/fGHh85KB/NXB4rK0QzVZmd 4V0cHF21UFnxWRuuMI0+Gf6SA3lJCHAraMNrY6rJHs85+G7Zaxjt24aXpEhu joiDOqEiZs1rw0qpuI+lfA4+W1z7kq7YhjxNh7Evjez8ypGGAIk2dFyfFK79 mNWzXopYvRSg1+lkP8+HHPDiyZTdNQLMUW6ti7/PQcWHb5Ee5wVYJ/kt+VY9 q3fJUNq2cAHmjsenmtzjoONwi67lVgHuO1NidgM5mP9COqzfSoCcwpUjC+6y enilt8O0BFgwM8rvUi0HcmYR8XbjrZhxxMymtpqDbR0dgU87WjHwhXZ+eyUH ejHp7Qtvt6LRhs7kntschBspvZ28tRXt+sigcxkHGQ16Qeel2HmffTq5xRyI 3ZSHO6+2YNg+14NvCzlYY2vc8GpdC8ZEe1sq5HEwTFWz779rxhN2Kg7nsjhw GloaY3SkGf2sizwnX+DAp2qPrKliMx4aFcr7pXFw6LfKVTDMx3Q567EfpzmA H15zl/zDx6od4XlJpziodpf7oFzHR4N3MpPVUziIP+Xz/GUeH7e/U138dzIH 7gGNPoFH+Nhb8dv3hEQOjB8mFPDd+NjZs2O67wkO1OjTixJ6fNRUHzi9Io6D dEG97i+SfPQ8uzVU8RgHIY4Wtl+eNWGopZ6gK5aDVxXUqaG+CTc8iNKuiOGg ebCz6WRRE+baD9efiObg/2Fa/pc= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{-0.34499999999999975`, 1.15}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {-0.32499999999999973`, 1.17}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[1.175] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdQVVfX8LFhj8YSO2rsEUuMsSLHHjHYsNcoltgb2CJ2xd5AicGGvaGg KCIqFxsqICKooKAgTXq5Agq213fm/taZOX7Px/jkyTPfzOdfd36zztp7rXN2 WXvvtW9d61lWEwsbGRmNKG5k9L+/yxd/aG6yJkI37sYq3Wgzd6W7z8xH7oND hcsV9nltb+knPMzkjwpnPY8Joz/il2cRvl2uiz6MPow+jH7R02/CrCYGij6M Pow+jP7QkqWmzu0eKvow+jD6MPqmV6pM7jgkXPRh9GH0YfQLzWowqejkZ6IP ow+jD6Ofsq3auQSzF6IPow+jD6M/eGqdHwNuxYo+jD6MPoy+rlsjd7e+CaIP ow+jD6PfpFbzFjvCEkUfRh9GH0bfMbf1mYVjU0QfRh9GH0b//f2OzUYnpYk+ jD6MPoz++UF1H9dpnyn6MPow+jD6U64druy4JEv0YeQmzRsPLnZdr8TsabPy 9xlhuufzD5RtMX6XYqnrMyB7cZAwz8NH1o8y+6nDlc+e/6Z0bM7wiEwp7+aC ST8H1tZL/TyP/TD2a+WUR/nYfyZ6zeFOE/x1Zgk31sw3zVLstk5dMvy3zbqq dVNXNhl8VMkJKrXskcUDndOeNUfcgrKUHzc5h3dd9ERneubkYNPZsxXH0yFN N417JMzzMOXD0h8NPKdebu/g1teFJwcGxtwqdV6Y91Oqyf7LGb95i38w9raZ v/1qw74XhKMiXC95zdGJfov85CfrB94WfZjnb9aJG3HE/6awc2jWsJmRd0U/ tUWRlM2Xg0Uf5vmZ9h+HtE0PEj64x/4HI6MQ0b8eUz5pyL1Hog/zfJn5m0/E rXsovKDfjsZ3vw0TfaedJi9rRz0VfZjnXzTefey08xNhy8IHGzrUixT96b1M 4xMzo0Qf5nnPiONH5rs+F972dKjDaedo0Xd5vydr2IoY0Yd5vucvEQ9qR70Q zvcY861DvVj1+4Udmt2pVLz6/QzM8+51YvoXnRwnPGHzxG3zXeNF39b9ZEZd x5eiD/N89fzE+4mZCcJBk6aXG/lzotq/1p+daVwzWe0fBub51aEZfe8tShJu 19lmi+KTLPq9xnulJR9OFX2Y59Ndc++dLazywWp/lK3/S5ronzPTTb/fLEP0 YZ4fZv/e0mljunDZV8s3lQjOEH3GI/rLixaFJ3XakCn9BUaf+RtmPoaZX2Hm S5j5D2Y+g5mfYOYbmPkDZj6AGd9h7XjNeMd4k2X1y63E2er4Cou9hvECuXb8 ZLxjvGI8Yzz1W6tLXWYZb854CfO94DFn7d8UKR0g5SF3q5E/duQQdX7pbbY3 xamqXrF84TCsfcc7utR5P1/qOfTT+HrN/sbCzmHm5VaHn0ufukH46eCUsTZ3 Dgg/jNgetGLHReHO812Pj256VXjHwAmxIWm3hP1d5gR3vnRHeF+kbta5EsHC HVb1nDRl5gNh2633Ziyu/ki4fJtBE1otfyzcq2vEtO6mT4XjEsdZv90eIWyS kzilrHmU8LN7bVvGDIgWzhv49qeURjHCvxwzd/N7qvL4ZoU97rvHCZ9d3qP5 qfHxwveMS7Y63/6lcI0Rlqe3pqrcNrrc2V3Xk4TX/DTQ1HZesvCBS9+1XPJr qnBGmRGnhn1QubRjLbdxD9OFhyeM/aHT2gzF39E+/3bLq7quF2wXBT341J++ mfh96mJPXff4mb/OPpipJI9ZaB32LlgXVKLpwt1Ps5QSe6+m+e0Olfbaesfi ootqxfsw/1K+9EcDS380sPRHA0t/NLD0RwNLfzSw9EcDS380sPRHA0t/NLD0 RwNr46sNzk9KR5plKa7fb9t6erPPZ/HEgdzHR5NOZUl/O/i7z/u0lXrF5/Gw H35LeqQzmbToffRIvepfaurhqBcnlZYzx7VPtjysm/TY5YdSvTOVxj86vH0Q EKKrdLLEAJtSeqXDlOoOFkqEbkjxx90eBeplfICpj/7Zt8yV5CmxT3Qtb2/s pRvsYl6pzCK/GuVUnt/sbLWJrx8KuzfL7uQR8EgYfyivQj/T7e88Hog8vG/S 9DNRwcJzo7suz9h6Vzg5+s6dje0ChLEXZjynfNd67WeZlLwh8jb1PBquHHtN OD2gp3MT63PCMYFWTa09LgjT3iQeMrzfXeW3uwYU91C/v8uQ+JKRvtI+Jf4x yHPSxocsOHZDeIrx3Be7P/rL8xLvGOT7By4LKhlwT7iUp1+60/YQeV7iG4P8 8Kg+8X1eq+35+eSHqb8dCpPnJZ4xyP8oNzL2u5JPhM/XiElufCFSnpf4xSDv e33yi6jqz4V7vFyQvTA2Wp6XeMUg397h8qxBTmp/cfNdajN6eqw8L/GJQf62 4vX0drXV8aqa8xp9l5x4eV7iEYN8YtqdGbWOq/1tlc2mOQ2XJqrjA/GHQX7f 735qoR/V8SzN0jGzVPEUeV7iDYO8vcvjaQmX1P46tKHzrIytafK8xBcG+aFF z5L9u6YrT5av7Hcjb5Jur9mp7F7FMiW+8B1yb1a2f6ZyrnJXk1mHPHTuR51n dtqSqaxOdPa63G2/xB/Mt6UzjEMSq2cqK8scOOc7IVx3MMbrjdduvdI1zOy+ Pu6JrIeYv0367DttcVGvVD1+c0tV78cyf7tY3IuuZbVT2vPFjR3aL6i+XPh4 e98e1lXu6Ywa10xv9leWEn3/5TiHOaG66nXMyy+uoVc8EyqmtJ90Qzc038rh QSV1PdYjNKll8gAvHfMxzHgGM3/D6N+pHRhTtek20YfRh9HXyrXxgXb9yPvh eZjnYb/4Qs9GxZxXQp1P7VhgnK2MmuFSt2Swv3Dyq9+S5/z5SLjh2YxuUX7P hH+8qOvb8G2M8P2da99GVngpPMO233HHH1KESw+sMrh31wzhR7sylhudzhKu v25gWITXK2GbBRebXbyZI3x9Uo3VDsGvhb8dsuzpjMg84bE9YltaJL4Vdmv9 y9r62e+FP9Y79ezjx4/C+L+ueIuHSb1zxH8Y/2H8h/Efxn8Y/2H8h/Efxn8Y /2H8h/Efxn8Y/2H8h/Hf3PZcxVFbc8V/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h /IfxH8Z/GP9h/IcZn7TxhnY/ROKv0+uPlfjGQVkYl2RrPuGVUse9/J3dLteF kTcfMOO8+/FsxbLyrk6Xlz0Q+bqQRn82dnsiHHN75JveGdHCy4/WO1KoeLyw yZqUAV4mScJXxnt8mNkmTbjZgauPKhzLFLbbVtc0/ZxeOHDZmpV3fbKFq89K Cj/snys8dUyfFssfvxH26nN2zciYfOESnSpHtkl/JzzUdFGrCvkfhHmfWv9j r2a++j4tR5j3zfijXT9pxyNtedrxCTntE6Z9wrRPmPYJ0z5h2idM+4RpnzDt E6Z9wrRPmPYJ0z61/tI/WU9q16Psp1UcEGccNfGE8mvJkvF1K76S9sv7pDzk tPe2EXumuI9ylfkFpvzZdSJb1e3sIbxl3ooZJu0P6vhePA8zP1E/chg59WuZ /oU9MPWznoZ5H+jjb5FD29v4f3tV/PXZEm5r5eUnnP/r5CDdyyDh3UXfOTpt DBVuH3ujc59PcSMcdm1jWpHLEcLzXAY6e4dECW/QbT7ULueFcPiZrLyKheKE G+8b3D+jTILw/M2XjvpXTRT2s6v1/kj9ZOFK01cMXNEyVXjCyPgTo8zShYcf qW9Us36mcKG9Q06V/CFL+PiOdUNet9AL99/kXSj+51fCb1aluoZ0zBZ2WWwy zLdLjnBPm/5FzvySK5w+deWZ3X1eCztZnx++fuAbYfMRCUUXDM8TjhtQ1X3C b/nCmyx6j7Sa+Fa4dRc7487T3glHtjtzttmc98KrWkaPqrHgg3DTxhVKlFzy UZjvr20/xD/sX2n3m5HD2viI9sZ+sra9affDKJ/6YeJjbXz4T+3/wKxXKX9O kcm/RwWq/QlmfIUZT2HGU5jxFGY8hRlPYcZTmPEUZjyFGU9hxlOY8RRmPIUZ T2HGU5j5Cf5X+2Uh3hF1/fLcdXBg55VbH946qvvS/Rr0zdpUqHLoTKZwTJTH w/IlVHnmwZ1DKr9S2cmybaVVlvrP9nuQHy1XzWlt21fClpe8B+ZsU3mE3Z5H eYuzhY0amjv+/kjl8km1K0/3zRH2dLgW8qRarjDzM6xdb7A/o92Pob0zn8v6 3tB+fQ8d6906/sln51fs38C0X9n/08xfWjnxAMx8qd0P0q7/tPs/8v5TQ9tE 9s9SNgRbzV2zW+1PezZYxTs0Uu1z3TNnSqkAD7HH+YH/PKtpTp/ZZ+T39ILv k1dKg03Dm5ZZd0T0eX+0xw+nNrSLLKfWFx5beePe4veFnRva/9gy3E/Y13lN lV8z7332viT+M7CMt4bvI/O7Qf6NfWQ3O/sLwvsGFfozeNhu3f/v+10F7Vfw PrX908xpXrbFSbU/Ww4fOr/vTjU+4XuvfpZz9ZnvLfl+PiGpbmsGXBXe6O6c Nzj+hPCmzoF3or+/LMx6g/Kimzv0d8u7IO1vx8ZeW/SVrgsH9wp/+Vt3f2HX h+GFepjeEMYf1isy3syys2n+k8qercbktDLJkfUM9Sdunzzy3MgAKc+4yHmX hPYPhA+/WNxn74BHwg6N7J5uvaXKWQ9RXkvj7mt7PlOf7+rbLX/glCfC0ftK Hyu14plwUFzp1u+zVTnrKcqbfiM02qPMc5HrfJJOjA2MFv7mTB8js/AY4WIP 7vX8ucILYdZjlDfI98e95U1iRT5679khVeLi1Pe7qfJpfUaC8CG3na9SmsQL s56jPP2+PIvbP78U+dvFi4oEvU0U7j3t2fATxVOEu2wZ7XKwS5Iw60HK27bk Wu6SPurzf43o4r66YppwosUR47G1M4SjpjfoM3y4Kmc9SXnNR60/1Hqi+rzz ntVn9u7MVL/PDs/hG3dnCfseyX231kuVsx6lvMl7Gx+f56M+n7wxseiiA3q1 fayq7j7p2Cv1++wcMXD8TVXOepbyPDdt+tDfX32+w2LLkYNOZ6vtZe5S464e OcJjVvucMA9W5ayHKc/YLnOQ6WP1+XVT3c+2uJQr3NI6ZlQt3Wv1e9t8b1Q9 UpWznpb2Mm3QqeIx6vPhwyuVKH3rjfDSAT093vjnCb+zth+S81KVsx6nvMMj vArFpqnPN7RYOCYhOF/tD51Plnz4+K3afqySXYNfqXLW89L+LGoO88lTn5/f LvL8tch3wjVbfjPWLea9+v279C3i+lGVsx9AeV3bLz/zV7EPIr/ZqHPpvYkq T68913ND+kf1+7c8N3xtaZUZj9g/YPwZFfnxnMsClafuf9H6iHWuxOeM39r9 2vOZcQeObVLPk1gf7Bmcs6Rb0azP9pcbu1Wvbeahzvfa/WTqQ67dP9aeN2Gv fRP9+bCJmZ/tLxP/sl4g/oWJf2HiX5j4Fyb+hYl/YeojvqM+mPpg6oOpD6Y+ mPpg1hucT7LegFlvwKw3YNYbMOsNmPUGzHoDZr0BYw/no9gDYw+MPTD2wNgD Yw+MPTD2wNjD+Sz2wNgDYw+MPTD2wNgDYw9M/ZwHUz9M/TD1w9QPUz9M/TD1 w9TP+TP1w9QPUz9M/TD1w9QPUx/n29QHUx9MfTD1wdQHUx9MfZyfUx9MfTD1 wdQHUx9M+ZzHUz5M+TDlw5QPUx7n+ZQHUx5MeTD6nP+jD6MP8zz5ATwPIydf gHiC/AfWhzDxsVbO+TXxK3LiT5j4UfIpDfEfTPwGE3/BxE8w/V1rD+fjMOff 6CNHH0bO8+hzHg5z3o19yOl/MHKeR5/zb5jzbfzXyjnP5n3xPO0V5nnOs3nf 6NMeYfm+hvNsvhf6tD+Y5znPlu9t0Kf9wTzPeTbtB33aI0x71H5P7fyGXOoz MPbC+AvzvmDGE5jvp62f+QRmfKe9wMgZf2HGR9oDjJzxDGb8oT3AyCU/3NAe YOSMF3x/GDnjA98bRs74wPeFkTNesD9Ovi376eS/sj9PPin7+eSHsv9Pvifn BeRvcr5APib77+QLsl9P/i37/+Szcl5AfirnC+Sbch5B/ijnF+SDcv5Dfift U/I9DeMl9mAf+desp9gfIj6EOT/g/AfmfIj6KZ/zF5j3A2M/zPuE8Rfm/cO8 H5jvBfM+Yb4vzPuHOX+BOX+BaS/a7wnTvmDeJ/Ev/Y/5h/Ec5nuQXw6TX876 lO8BUz7rTeQwctaPyGHkrAeRw8hZ3yGHkeM/+em8L/LFaS+sP/BPG48zvtJ+ 6E8w/ZnxGTnjD/MXLPGX4fuSf874xvzJeArzfcmvZ/ylfNoH+e98b/zjfI3+ UXnXidjaYfrP1kPsVzJfwMwXMPMFzHwBM1/A2AvjH0z7g+nvMOtBmPUgzHoQ Zj0Isx6EWQ/CL4fowjtMyJL5KD0kp2u98PTP4vXLoyvNDx/zqZ8nXj/64Vd1 fvF0WF07M0WdT1bX3u5ftkGMzB+N+9l1upARIfNFTJbvqAN+ITI/WA+rH2K+ MEtxK9UnMO23AGVu2InA2A/pyg7/jyt8Cocr1QZNu5tkm6B8yPvrw+vxsUpS 6BXXfltiFOcGO3/6pXSCkjp6gq9NTKRi3POCcfi2RKWM/Su/QxYPFeVYePHq ecnKrowR36dd8VO2hl7d/PRT+6y5+41NZJJeWTp9dMzpvu666BmV7ad465Xl gx337+vw59/P1w7e2XnrZL2yr+6IdrlLLyres2oFjW6vVxq7zE7dXkn3t/O5 aS/f2Q1aU3/dHWVdqwsNml5X49GC8r1HdbFYO7JtppLQsF62o9fDAvO/aa8l p4+t0GVWmDItomkLp3w1Xv27+eEuZdtXTnqULPHrjNiANxn9E5WOaeuD4wsV nD9Of5tew/tWiawYxf6PqXmFT6jxbTfzZp7F18cpPwd2utj2iqr/r/LN6c8+ tbMvFL0Vr5yxvmIcWDlO4t8lFVt+V9I+WunjVbxj1oCC89MZL/pWnVZ1V59E pf6OVf3Ma0RLfOxSpXi+5YFwpZzLvC7z7qj6/yqfnfEormOVb0vtT1bOr3i8 UmcbJvGzeXWjYiUu31cG1frgMLlewfnvjHdWTVofvn4zVZkdUefyiTsBMv5/ WDFiUPcOrhKPl/nYt19iil7GV+IZ9vu0+e9dDzbZnrZFnV++NB9+7+8bWkas yJT4mPn73tMJgU4rQgrMl0+ubTm2fY9UmX+Yb7qVrNcy5pB6v0EbP2cftHnT bNzn+fXEzyYpHarkTFTbkzZ+jlyxWmf9rdo+tPFzoL/ntaV26vfWxs/GGQEL l3p+np9vVW2cf6/91z6bf4vE2jxNvpumzHzcpOF+L71iG+6/xK/7X0rooPFx /WokKxkVvrOI3xGtnLhXPXP5iyQlM6bGgm43o5XcK93rZ2/3U9wfFImv1CdN cWlt5DCjsvo93bPL11jRW+XM2h5h1d9lKdP8v4tyu3tDOae/n3QsMEuxbnVx v4enn1LH9VyQ2ZhP62Hfmraxb0KVgc/cjy0PSVEqbK/VwLjd80/9ICMg7cfL Ss7dKm9mTUpXhqV29ZvZ/5WU7xoaOnx89lklaO01b90rNX5evd9/c8fb6cq7 n4qVybrtJfG0y7WQlrF31Xg6sePUXeMvqfsRD4MOzJyxQ6+0PuK2r1XNMxJ/ T94wzcZm7n6lhHfvRWePqPH3xv6tLhRK1Et8ZTTD6eOheL2ySPd85clZx3W7 Tmfar3qqV+zcssZVs3TS9ZszelC/PHX93yFysG3f6EzlG93qYUMtHihFk+2m L9ytrueLVBvz+3zbNKVN5SnzcppGyProTXmXNcuuZigbAi75N0nVKz5OsX/c rO6pQ858rb1vUswq888qF13l/dXtHz7vaKWjn/VH7l/QXihvw8HS6c2mXFaf P1Rl2SRvH+H8LTX+ctl0W3jllp39i8bdUv7d+wi0b+r3+bXByTkVg6S8Npan 9GWv3Bf2Wl3r6NWcUOGlq5+umFVXZfoT5dUcf7B5w/ZhIh8yPt7Ktmy4cHaX 0x9/aBAp7N1lakRk/whh+q/kA9Vptc5xcpTILbZ1eDzbJFr4r2X7TC1/iBFe /NGuegPfF8KMF5R3Nz16tlFgrMhfziy8qlGbOOG2YyY9Kdw1Qbja8+63I8Li hRmfKO/3e8drXYx9KfI1ffxbPP80z8CPzJrbXxqeLHzxShlbh4wkYcZDyivm Ott/xtsUkdczdYjcMTFV2KZGbqvZc9KFB+9+WMeiuMqMz5Rn1WNPR4eSmSIf W+z0zSPmKpd4/3yWY/cstb2ZBSUsK6cy8TzlZdabkNirbrbIjeJs54waovLx iKM1e4/KEd5Vw8mxTSOVj3yws7Ibqpf1nl+UW/JI+0/jhWl+z9K5Z5URthEO a3/WK+HuC+o9Pa6u96jfvOId8/rNcqW8vqHht9taq5zrX8qmweTXwgml8pO+ /Ull1oOUt6Ww6c6P7d6IfN91M5OKM1Xu6T3zrpFtnto/8kd3TjNXmfUj5UVm bU152j1f5KlnXWzTF6m840RI7chlb4VXJ11zutNbZdablGf64lUXz/7vRG52 oGjA3TUqx+1qM//ixvfCD8MbpB0aojLrU8qzCx66a/uoDyLfsG1y3SPbVW61 zjnQ4c+PwvXvrO+2zFrlf/w+03R9scArWcqxtCuTAw/cVvwjPS3CW2cpVysX tTvlFaRc6f0hz7F5ltI+NqGrZ9H7//j9p9cj5zWz9s5QvG5m+Fe1fizr4T3W v13zrvxIqebrHnyz06f12sNVGzJ2PVHqbikW6/Npvf9D/lyrRruffL0/9Tfv T5lElaqebXlA6Xi9aemAZRnK3KnZbzpX1Mv+LvsnSlbFk8PNfBXvfafObmpx XXFf1/xGRJi6X7I/5WTXuRbpis5t+Yghn9alezzeJid7RCmbA4f1mNEuScmy Gbo5xPKFEtVzxrPY5fFKv5nFjXt9G6c0KG19LXfjC+VVoZ41vNw+zQurA0+6 33yqTKx14NyaZkmKkWP/VhO+C1GOlnk9ss7WFCVjYqM/qk18qXSelePyy/kY 5Zbxd/edNscqtYquccmYEK+EHw7q4JT/XMmsdq7TdP1Lpfsy84u3FjxWdj5L rr903Ce7lF//CN6cqXQuX+rF82KhimN3k0e/Hk1VtrybU/yPT+2ReIz4n/UD zPoEZv0Ds76CWb/B7DfArD9h1r8w9rCfgz0w9sDYA2MPjD0w9sDYA2MPzP4N 6x32b2D2b2D2b2D2b2D2b2D2b2Dqoz1SH0x9MPXB1AdTH0x92vNy1mvUD1M/ TP0w9cPUD1M/TP0w9bMepH6Y+mHqh6kfpn6Y+mHq156Xs97EHhh7YOyBsQfG Hhh7YOyBsQfGHta32ANjD4w9MPbA2ANjD4w9MPZoz9tZT2MfjH0w9sHYB2Mf jH0w9sHYB2Of9rye9Tz2wtgLYy+MvTD2wtgLYy+MvTD2wtirzQdgfwH7YeyH sR/Gfhj7YeyHsR/Gfhj7YeyHsV+bj8D+B/7A+APjD4w/MP7A+APjD4w/MP7A +APjD4w/2nwJ9mvwD8Y/GP9g/IPxD8Y/GP9g/IPxD8Y/GP9g/IPxT5vvwf4S /sL4C+MvjL8w/sL4C+MvjL8w/sL4C+MvjL8w/sL4CxM/cN8d/2H8h/Efxn8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn/uh+A/jP8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+M/jP8w/sP4z/0W/IfxH8Z/+b8Dg/8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+M/zP0N7u9wfw3mvhHM/TUYfe77oA+jD6MPo899J/Rh9LX3 lWH2R+U+jWF/F2b/SP6fxyBn/4f9HeTsz8Dsr8Dsj8Dsb8C8X2192nwxbb6X nH8Z2gvMfh/rcfYTWW+zX8l6WvLnDOtl9ltZD7P/y3qX9g/zPsnPhrlfw30k 7jdxn0juyxu+J8x9G5jvp71fzXoOZj3F+9OeN2nXW9r3rV1/Iaf/wPQfmP4D 03+05bMe4nuyPuB7Eg/zvplv8I/xF2Y8gumf9AfeF/0BJp+D8wvyK/g/P/KB +H859iv4/0PyJ8jHYL9C+/90R3X+RUdeUOvjvAW59j6w1j7t+8NemP05xkOY fBbyP3jf7J8xnsLku5APwvtnPIDlfryhf8j9eAMjpz8hh5HT/+T+vYGR01+R w8jp38hh5LQn5LA2nwk5jJz8F74X98th7pfD3C+HuV8Oc78c5n45zP1ymPvl MPfLYe6Xw9wvl/ZlaB+s/2m/5A/C2vGV9TH7peQXwoy//F8R7Zf/d4D5f1OY ++gw4x3MfRaY++kw7Y/xFKa/M15y/4/xUu4DGvqX0fxN9XcMVXmkad/u9/LU /zehfJjyab/IYbkPbGi/Mt4bWOIFQ/tFLufhBjntFzmMnPaLHEbO90MOI6c9 yH1PAyNnvkcOI2e+Rw4jZ/5HDiMnHkAOIyc+QA4jJ15ADmu/P/et+P5y/4r/ b40pN8F4j8rl/3qwSjFX718RH9E/tP8HKve1DUw8xvcg3iAegZlfyJfl+xKP EP/C5HuST0t7IV4hfobJHyXfVvL/DfGM5GsbmHxU8nFpz8Q7xO8w+a3k6/J+ yJdkfCBfEv/YjyFflfxk/GG/g3xX8pWxn/0D8mXJX8Ze1t/k25LPTP8lPoOJ J7CH90v9vD/q4/1QPv7zPsjf5PuzX0Z8wPemPzHeEn/BzPeMz/RPxlvmd5j5 nfGZ94G/fD8Ye4lPqI94hvLk/5UN9ROf8b2RUx/vk/dD+fjLegGmPzG/Ur/2 /0a+5pv+v5Vvyvv3/jP9Yb/b6RJfc1/26/+1/N//r+W/na9b0P/BFJjPW0A+ bkH5tNp82YLyYQvKZ/3SfNUvzUf90nzTL80n/dJ80b/7/zv/7f/bYfxmvNbm 3xWU/6rNdy0of7Wg/FRtPqo2/1Sbb6rNL9Xmk/Y91+ZawP8hfzQwuZ/j47tq PoR2f4L8RO3/Cf3d/wf6u/mq2vyMgvIh/9v5rV/6/0TafFjt/xVp/1/oP53/ qv2/ov96PuwX/j+SNl/2P53f+jVf9Wu+6td81a/5qv92vuoX5pP+p/I9tf// x//daP9f70v/P43zH9YDpkrlsmdjnuoq2nff1jTi8//rKej/+/7T/7/HfmzV KSunVUn5+n9vX//v7ev/vX39v7ev//f2T/3fW0H58Nr/Z/un89+19wf/bj68 /P/uqZHeq3NsdAXlx2vz/9GPXtb/9ZQymcr/ALM4lGI= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlulv1UUUhs9tb7fb295CsZQWLF2wtS22WK1WgVZBXIsWBa2KWgS0QosC rVYQUEFEQCsfNHHf992of4H7Epe4JC7RaDQajUaj0WjU9+Q8N/TDk5nfzJkz c847c+6tXbFuyXCOmf0mcsXxYr44UuwSG0STOFF0iy6REnkiXxTTFkAOfhaL XpEUp4gecTS2CeyWiD5RKMpFqchACt/LxFKRFlPF5Am2RdidLfpFmagQk7Bz SrDtEIeINnGlGBPtopo17nuFGBCV4kAxTVSJS8SgmCkOErWiDmZgW09bA1X4 Pk8sF1NEI2vqOUezaKGdhe8W2kZ8HMD5hsWQaBCjYkS0ikPFbGJbLy5Dr9Vi lZguxrHrZKyGsx2Fzgk070KXPPJaNEHjFHMFjPXSd6270TYXX/n46GNtARqU o0kKjUvRNoPdZHSoYO9S9OtnbQZtK8hLCWsmkQOPcY44RsxF8wpirULbavaY hl4z0LaevNSS/1nM1TGW1bgOXzWMLcdfOXONrD8YTWbjq5mxrMbNxFDFWYZY W89cG+tH6LegbQt2G9C7CbsO4netDycPueiSJB+d2CwQxzK2V+wR8yze2lkW 78i17sJHB7a+9iSxyOLuuI/j8NsjFrLXNeJMizfr92s+/uayppNz9WC/Bc06 aBdgezPn8ngusrjTfp8T+M2esZtznm5RU7ye+P1cTN/vVh/nSTLn9qdik6Q9 DftC7AuIc9GEOE5gzz72SrP/ycS0lDx6DjN8e/9qzldIbpaxNo1NMf7OYMw1 9fvSzPp+/HktWmtRB3zMa5/XlnPou63fSa87XsfOpz8FfM7v6lT6bnMt68vw cS6221nv/Qst6mMlDOCjmv50WGX7694F2O5gfSU+VmI7wLf3d4o1FjW2Bj/e v85Ce7dx/S9m3BnE1nPh76ceBhlbQ75mEnM/sQwy3sA+q7FpxI+/qex78xp7 vViHvdfhS7EZ4ruJ+WFs/LfF73IbPtbjp4lv3+dt8Y44gvmN2HwhPrf4zbxd vGHxru4UX1ncUX8X+yzexj6+O9FtOzFma8Ec5sexuVd8Z/HOHde+DK12oNE4 a/zd3WhRI+bBHsZXoo3r8qd4ghwk9DifU7tJ/CueEZeLpMZfULtVbLN4e0ly uYvcXCF2W/wuu8470eUGfLSy/17ytpE5H1+LTg2sHyP/o/htx8co9g+Kn4j7 JfE68b0o3rKoa0+Kvzjjs+I/fD0t/mH/x8Uf7F+iGF+1qHH3ix/Q5HmRo7nN ah+1+K/l8T0sfiGXf4unLOr63eIbi1rgcVxl++/TCLGMEEs2Vv9Pcxi2Y/Q3 Md6OL6/LaWy24HM3du3YbmbtVuy873fO65fXroXo59r9Lh6zeGdeK3ux+Vbc Y1HnMor7ZYu6fgs58vx8Ij62+F9ZmIj34Jp+Le6yqJUFGi9KhN7fi/ss6tSv 4hGLuvAKe7j/d8V7FvXa851PzvPUvkksP4oHLOrap+Izi9rdSk793X8oPrKo 9T+LhyzqV0p+XrN4E2n1b1N7kyhOxLf3vxR3WNzvD8T7Fv+pff9bOcP/aL7Z Uw== "]], Polygon[CompressedData[" 1:eJwt1PdvjmEUxvHz2DTxP/gfhDYNqvaWEgRBSkqQVhDEbmuUBom9996j9t4j EnvP2lvtPb4n5/rhkyd53/e57+s+9zlvjey8rNxyZtYKFbAfz9ARBdiKPxiC oViPz+iLfriHWchAS6zEa3RDd6zFB+SgN/bhMdohH9thidlwHiOwEd+QizzM 8Vx8P4ZnTWzGTwzEIO21Cj20ZwlOoT5GYy6q8/50nrVwAzNRD80wH3uUfxoW 4xGylHEpnqKDarIQD9AabbAT5Vl/lEXG27ivWqTjKm5qrzRcwBU0Qaqy3EEL ZbqrNdL1mWdZgvbKdBkzUFdrrMY7ZKMnluMFOqOLsi5CW2Xei4fKPhZnUJn8 U3hO1drX0FR7vMUhjFeNT/h1JXFXxarNMnRSjc5pD1+7ISrx24pJ3N1IPLHo sQKdyWtXorvyGh7AS2UvRBkOYwJ6Kct7ndUzPdc7hcpQatFj+TrzKxzEOHS1 6J0tGGzRQ95rmzDAoue8l1OS6IUMi97ZzbOORQ95729Af4sZqMr3VVDboobe yzt0Vu9pn51tGGYxQ19xFEVa4weOYZIy/MZxTFbGI/hiMWsTMQ+zkYkGWuu7 xawU6d2/FrPqa3zSGv5uH9Xyo8Usek2vW/Romu7cs/yymC3P5L20QrXznjqp DL63z9h5ixnz2WqEfxY9Uqwz++yv097+H+C9ukZ36T3rs7fAole83mdRLYle 9JrfwkU0RnNcspihVH12Gru0d6bu+o3Ff4/f+X9+hKsi "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl/dTlkcUhb+9plcVRUExKIJKFwQUVBBBo6ihd4QQRAQpoklMMcZETe+9 96IJRifNJP9CEtN7m0nvvU7aOXMPAz88c99v3313bzl7Waa391f2WSQSmRYi kTGwg7B3gxawFxwAe8D5YByYCC4A40E0uAJsAFXgKtANqsFusAvEgG3gXBAF LgNdoALsA0NgDTgLdIJycA3oATXgHrBZ/twAekEduAn0gXpwC+gHDeABcDpo BdeBjaAW3BU8tmZwGxgAjeA+sAWsBXeATaAJlIJ5IAc8BE4FbSAdxAXPV4bs SSBTNh5kgelgBlgAZoM5IFtjCVp3JkjUPgn6nQeSwCwwX5bfV2rfNJCv9ZLB Uu3Htdv1fhFYrGf6WyhLfwv0XQpYKJsKisFcrVWkuYypRGvTxyUa47zlIFf+ ZmsefTlZY/R9hSxzsFKWvpfJFqj+1MkU1b9CcVJj1Bo1t0pz6e8pwfUSG1yT E8DY4PqiHqlL6qtKtRlQPZlTarNGNaK+alUnaqROtaFGWpRz6rpadaW+GlUv arBeNaNemlUn6rFBdaRm16pO1Fer8k5ttinv8cplpmJOV82GtZUeRrSVIV+z 9E2i8p8jv7P1LkG1ypYfOfqdpLrkhhFt5SnOBfqdrDznhxF9FMgn6mmR4snX N8PaWiwfqY8i+Ves3/RpqX5n6H2h/EiUX/uD95nVYJl8ztU68Yp7WE/D+qKl BjvA1uB9Zn3w/hEXRjS3QjFQQ8O6K9O7s4Nrido7M7i2YuULfWLfOyP42UuT r03KH/2qkW+kVnUgdaoD61ilGpJqfce4G7Ue59WrVly3WTXh7wbNXSf/YvWu RXVgnBXap1Lxx2mfbu3FNfq1Dn3cKB+Zp07N3688xiimHsVEnbLvpWqfLu3F vantZMXaqzioceo7RfENjMrZJsWXonVT9X2rxpiDPsXN+DZrH+ZjUHFzzy36 rl21SdPce/X+nOB/S8o1937tsTN4j5gku03P7BfsNeNkLwzed6I0j+/P0/wo vee8aI1t1zr8nv1orOyO4L2JObs8uA6Y70uVy0uC972psrv1TN1T18s0znnU 5x79ngwu0vwY+bhT/jyidzF6f7HW3CGfGBf1Tt1TS+xvVwbXC3Vx/ah63jiq JjcH1xFjfVjx7pVPk1XbO1Urau1W1Z9aeFD1phZuD66FXfqWflKnVwfXXY7i LpXvj8p/+jykPFCb1wbX8lbFzHUOyKfVWn9IvnGf/ZrDsX0a79A458/TniWq E/PC83pacJ2x770KvtWeb4At5v1iM+wrsI+BQfPffOal6uPgZ/cL8FPw8/kf OMpcGy+DjxTfl9zTXNOf6nt++z7oMvflPdBp7tPf4IXg2uzB2CHFciKen1Z8 6/DcYX5/oS+9WvMZ8J000I2xjea5+xdEzPXyF/g8+Hn6E7wZ/Ez9qu/57Y/g h+DnrRbf1Zjf15pgG83vVr+A34JrrgVja83PZD1sg/m5PQH2Jfn/FHheNToM 448H1+2L4J/gGjwIvgme/zbMaTW/9/0MnpNmVmGszPxOt4a1MtdoBWy5+X2w nXk11+gf8pV+TsJYlPnZWwG70ly7VbDV5vfjt5QX5qQEY6Xmul8Ou8z8jkmN HJSfrNu70lMhnovMz1Ux7BLzOyzj/lCxL8LYQvN7bj5sgfmZnA+bZ34XjoN9 O3jvPx7PR5v3gvXmeqKWXgfjzc9TDmyu+TnPhs0yvyObee1Z9yPxPMa8z2XC zjU/b+mwaeZ3c+roE2mbcw/X/BTYVPPzPAd2tvn/BFNhp5jf/VmfaPMa9cN+ Ffxv27Pg9+Bn/AOwwbzXzIRNMP8/g1oI5npIgp1l3r/eUS6YhyfAEeb9cDrs DPP++zV4MnjvisFYrHkv/l7njbGw5hNVd849ztTbYV8L3lunmZ9nnuVjzPfj XhPMY6D/rMOxqsUh6Zva/gwMmPe1/wHeiDoT "]], Polygon[CompressedData[" 1:eJw1lFWolVEQRs8eDDCwri12d3d3x7U7r90dqIhid3cXKgo+6IvdgWI3FqJg BwYGuobv92Ex3/ybs8/sqVy9hsUPtVgslgCJoAROGVgWYrF2kBOdFxagW0Ml dDVYhe4Ar+ATTIBJkI+zQrAI3QYKo4vDEnRbyITOBvPQraAsuiKsQLeHeug6 0Am9Fr7BV8gCEyErZ0ex/YPuqIB/Cjsk6I6PcAT6RjHV4vwMdhis8RjwL2BH wRbohH8ROxq2QX38s9jhsA6a4J/DjoAN0BL/PHYkbII8+MewA4JyVBr/JHZw UA6L4Z/ADgrKQUH849iBQTl6BjdhPPSB7/Dj/1vhLvyMctsS3sMHSIhy8hzS cOcs7F4IaINp6PSQGJ3IpKdDVfRp7NCgGv6CqzAVJkOM87/YuKA7nvrb+bYf 2xw+w70oln7+bs7eYDPCbsiB/wAbD2M9RlPNvdZzo9pkNmmv0X3IbrrLf5Pb 1HPea/ODap3LpL3mGdAZYQ46W1Bt65p6xWv8LsrJ3iinL/w75+OinCVBJzXl IgM89HeYYu3ldUMPgmboPfAHHkdv8xyl4CwlzIjefA1SmWrnv0mPjjPVzmMs apoB7/3FUN7U897ry4N6oYjpzHuilGkGffaWBvVOSZP2HvLeKmf6rfeY17IG /uqopjXR1aFj0LfU6NvY2TATCphm1GdzYVDv5jdp72Gfpcr4K4Nmqopp5n3W /Vta9EvsvujO/viPotz1hsMwkm8Hon723jmEzRTUQ+3xO5tmrRvcimL02LyH 4/3tptnsCl3QPWAHurvn2HvJNHtdoCc6AXahe8BruAMtgmp+EH7DFEgXlJva pl3gOXrieTfV2mP03dPANPu+g/qgL/v/BP1HQ/ympl3QGa4EzdDk6D9uBM20 v91z8BauB82Ox9TC9AaPfSO0Mb3Z37o5aNc0N535zrnkucXfiR3jOTa92d/q 3xqbYvJY1gftrkYm7TvMd1Vr092+s5Kjk5l633vYd2EH/K1BO7GjqUZeG//W zVQDz/32oF3Z1aR9Zw5HfwmaRe+J7qaYPVav2T9p8768 "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmU13MUnb7vY8sapaIi+74VkSJUSlLGehxZ4ljP4Rx7lNJOaTFpoylG aKFGotQkqWyJlKRRtlBJtKgoy73n3t/5zh9v7vsun+X73r3vfebXsPO9xfdk RUVF86sVFQVwHf5MgG3CzUmwtvAnAusDHwJ2gzWB/zDwcdg58B8BdoedC78L sAesOfxHgU/AToW/A7gEdjr8pcAvYEfC3wz8GHY0/C3ARbBj4W8Ffgo7Hv6f wMWwE+FvA34GOxn+duDnsPPhPwbsCWsI/w/gR7BPYL1gA2HLjM/CBsF6w/rA Bhv7woYY+8GGGvvDnjE+CSsxPgX7CrYcNgz2tNfivCN8zXVGGrnOKCPXGW3k Os8Zuc7zRq7TGN/SCDYA/ruwmbB3YF/6O8bAxsKGe81xRq75gpFrvmjkmmVG rtkec18aWvNrzzce9jrsZdgrRt4vhb3q9bjORK/Bub+BVcJegs31HmfBVnq+ ybDX7BfmLfVcpf4WfsMUP+M638Km+Zs7hHhIPq72fHz2ZpW5pxu597eMnO9t 41Qb554AKzdO9H4L880ycr7ZRs5XYeR8P8J+gM2Afe89zvH1VM/9nueaXWVe rnNZKO4r4K/xuHmw9+0zz/ONjOU62FrP94vfXQBbWGUc+U+dUW/kPvVELv4O 2+h3G4Q03DWTfqlj6pn6pY6pZ+qXOqaeqV/qmHreAPvV+2qF++u9B2qXeu1t I8/Je2qXeqWWqF3qlVqidqlXaonaZT2gllgbWA+oqXquDx9m0utw84O1gfWg T5brdlCW63Zwlut2SJbrdmiW65bX1FOJ1+rl/Q40jvB6Bd2OyHLdjvSzAmcL Gh6V5RoeneUa5vVy+yVZrs+x/h7OMSbLtVp4Rn6+kuVapb6o0TLPyTHUELX0 M+ynTNwszXK9FjRfmHeC5+X1RF/z+SRfcy5qZ7LHv+5rzjfF1xw/1dcF/fCa uiz3PJWek3vtGNLtqizXZ0GvxGlZrtXpnnOc91jQLZ99l0lX5R5DDc302jP8 Xg2s0ybE9Un+tjLnq5Bb1hM2uEJNob6oN+qS2prrWNKnZskx8q2v15zrMeQY +dzf46m/eVmuW16zd7L/9LJRj9THX5l60kBfL/I6HE+NLvB6i71O65DeNnrv qx2D/zLVVsaSPKZ2BhiX2v87U88j13Zl6hnkzmqP51jqYonn2JmpJpGv7Gfk Lnm7d+gZr19yjhnbfXD/X18fFOoBfM57q5yHfzL1lfGO1+dek3Wquc8Kax03 xvdXx4Ex3BfPI1Rndw/VSsapwnlijvbD/d1C17VCeqjwHBsdT37fDn/jnqEa yvs1Q3WcHKrumvaB87/W+5nvPXE/tUN1kPf2h79H6D2O5x7JwyzEM/KrTqj+ LnTsdjq25MLmKvnfkuVc21ol/3+aAynUY+aYO5vMqWXmE7lEPm6rEuPtjnOl 88FcXBLSUrlzsst8WOk8jTdH/jZnyN8/vBbHVQt9K3vH2e4fD/uafWSN9zrH +WFeCj2L+ZvnuDJujCFjU8PcZvyY6wqvU9NrrXfOFjgPe4Xi+aP5wXE/mwdc c51zw3WYqwNC43hOI4+ZB+rjwFB/IWfJ40rn4ZhQHg4L9cuu3m9t75nr1/Ee DgHWDXGmuv3f/C0V5gNjcLDjUAy83D2Y6x/qPXA/9XzGK/a6D2bCw+0zD0dE zp2jQtw5w/N1c/xqOYbcS3XvjZw6LnJOnRDiCzlySuT6OC1UPzjfGf527on9 ktopsT/M2Ng+NXyu/wc40/c5jniW3yFfmvicwfd45iB3yGtqhnppGrrf3c+b +v2WoXk5Z7PQWj28ZjO/z/i19Dv8P4DnIdaYFiG/p++18DmJWrwgVO+om5NC umFNOs/zUzcXun/xXnOPZU4ucl7I3VbmJ7G1Y144O7K3tPF9vku82O+s9xj6 hfPlbHN2L/O2OOFeSAPkEflNLo2Cf1mSthoBJ4d0OwzYLkmLg+G3SYrxAPit kmrTacBJodrRk1pOqgfnAF8L1YUO8N8J6bYZ/KmhGtGH8U+qGacAT0iK6aXA GSH9s87wTPAG3nmDnLV/Ed4pD/WeJ4EXJvWifox5khZ7MV9J/eQY4M3OxdHw j03KA9c8yeteBZxjrt8NuykpdsNhnZNqQ1vviXXvXeB1STm4C3Zjkr6fg92S FN9x8G9Nqh/3M//W4e2w65Pq0x2wTkmae5x6SaqdPcjVpHpzIrCzOXMU/MOT +NoVdmpS/f4o9M383lLY5Um8uBP+DUn1owx2ZVJtOT4pFud5L9ND+2Funwrl l/plnWFN5vmro+O/ytfsBfz/g/+HsF9zL4+F9sNxxeY289M/lKNbgCcn6aiB 36nvPHfw/Cs8L3scjWdWnlfL7HOtR4G1kurCWtaAUE9jftqF+gz5cpvnbOfc 0V8G/CKkdc7X3nMOBd6c1BM+DOWA8WdOuoXyQh4dmcSlV6n1UP09EPf2S6p3 hwAPTqpVhwEPTapB7zv31Zzzt0N5Z35mhnLUGv6boTNaW/hvheoa+TUrxDFy vG+I5yuBlaGcrAB+HYrft4x9qPdSZ71DWiOnuvu7qNcnQpol3ytCnB8Im+cY vgdcGu5x5hD5w1rSMamefAVbHup1rBODQrViSWg8xzKuQ0Kx3QrcEvpt5izc b5JUQ2+E1U2q1dvgbw/1m5q41yVUu/l9U/yN/O5p/nby+kXvrQXnS6q5i2BX hHrQA6E9cT+seSNDde8z4OJQH2YNuCKpDlD3z4a0/zLwamtnPPkSOncw5wc4 70XUdFIPuAFWI6mfVgfundQX92SdSPodizo+wlr+F/ZP6HepwL0s6Xep3YC7 J/XX/YGd/C1/AXeEftPq5O/kfdae0aH6UztpH9xDvaT4MrbkY31zcgFsYegc sRO2K9TX98XzfZJ+YyOX65jPj1hv1Br7Q0moR9wEbJDUQ68BfhDq1w2TnvH+ fcD5obMaY/mN80UdX2sts84dl1Tr2ItOT+pH1ETLJF2wP1yS1COoj4uTNMKe 0DypL7DPNE3qNexFjZP6Eevx2FBNXgP8KXQeYo9qn9Sn+JvlD6Hz8UMhLVFH G7jf0JmJ9XVMqMZuAm4Onfl+h20M/QZJ/a322F/Io9DvlOyZ60N983vqLPRb 4/9EcP/K "]], Polygon[CompressedData[" 1:eJwtlWlsVkUUhj/uDPvSSgttESilUKyIllUkoK00BRWwKSBt8ZexRJBNIaAI VIgsLixCUTY3gkD8AUkJIcYQCSoFq1VLkSVQK1QJi7IVlJ3nzZkfT95z5s6d uffMOWfSXppWMDWKxWKl4KHOxWJj4BKDaehimAKt4ARjTZk0Hvt/7MfQ3vhz 0Rr8m7ADu4SxUehR/JHYZdj12E3Qfvjz0cP4t2El9lRoDafx76BFcB27p/aB QriGn4n+Cy/AVfzu6N8wFq7gp6M7YQJ75KMnGRuEvRD7mNaGXPx38Wv102gp TIaWcISxKvRnSIEO2gfGQQPPeqBDeH8Rehz/HkzHngRNIQ6WwYfhXxLR1+BV aA7xsB0OQgJsZs7H6AY4i90enQYToTG0CbEvgbuRnYG+9WW4Fdk3b4TP4QJ+ Erre2TfFhTU/C98QH+ZsRl+HB+Ai/ovoD9AWDuFH/F8x9n/YvdCvIJGx/mgu 7IPvoBHUMecL9MuwVjI6WnGEVJjL2DDefR/7D62NroKPdG747XRWMJ45z6Hl jFWgB8JZlEWWG6+ACzmyJsSoTVgjh3ePh7N+Wvvjf4qew2+B/gPn4Sf8biF3 LkNGyCHlzgVnz5RDh9EZ0AU6wx5n/5gczvCbEPOkcOaV8EvIlQrev4JeUg5F tsdsnYP2xK+Ev5Qb8CN2V7SI7/0WHQZ5UB1irlh31H/BVhgavimd+d1gMPbb rLE7xLRdiJFyd4v+O7IcVi3XO9tLNd2Vd9OgNLI1VKvbQy6qZn+FmToD/AfR /bDNma0cUS3egoed1eRt9KZiENlYS9ZrDtX4Wc5q5zo85KyGVNtqNI84q3Hl WmP8R0PONcK+p++IbI56TQtva6nnpGB3gIH48/E7YXf0Zg/SGvouqIpszwSe zUEHQD/lPX5b6IM9jzmF2OO85ZrmxGPHectdzTkENeEsFJPOPEv1tpdimIyd 5G0tfdPecKY6y+HOelF5yG31pO/DHD1TDf7uLOeUa6oZxa419HYWw6ewlzjr veoZHr+Zt977W2Sxv+usV+oM9O83nPVKxUCxdN5qWTFt5a3mVeva480QI8Wm f8jdBme9Tjmcz7N12Gewm6HP4q9A/8T3aK1sZ3fFQcbOoW84y/UbcAp7Vnim GtjlrEeqN6qHqDYvOuvlqlHVxhlnvVw1UuytxlRbqpGvnfVM9Ur1SPXGbG+1 rx75FprlbW/dSY9jH3V2F+WgC+AJb3eP7oR5+H293V26kzbhj/Whd0TWmz5w 1uvUo3opVyEbe6HuBOwMb7X4pPIcO9ObvUA5jN3Tm6133oHB3u4i3SHv4ed5 u4vUI5ejz3jrlYrxWvR5b3enzmA1OsJb7HWnLkWHeruLdKfpbhjg7V91R3yC Fng7O/XEJt5ySLmjmrsPFin8rw== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgf412MXxn/l9zxfhMjehUTIXtmbssp+X3uPlPHKi7w2WRWKqNBUtGig NERCGYVIKQ0NlZI0zPf+OPfv+v+vq3Od5/usc55xzn0/v/71Lm/VvGXNUqm0 0zqlkv6VaqVS6TXJ+pJ9JNeUS6WbJP9R+TrpWxCVr5W+WfKAys0l+0muyKXS BUWp9C+VW0uuV/utkv+qfANzSO5VuRV1kscl9zOH5HpsSc6U3ClpobrbJG1U vlG6teR/KreUvl3ykMpnSQ6QPEyb5B7Jk/o+VHKIZBVzqe4+yf4q34F9ySMq ny05UPK45FzJwSl8of9d9gndRrJcbQsljSWPSs6RHCRZkGLuRyUPuu/d+GaN TwMkPSQ9JY/ZF+z0l3R3WwvN01a6g+Rpz0ffp8pRz3cXf9PezjZY9zPuy152 tH5C8mOK+Z5nT+wfY16wHebq5L60P2vdznUPeExX28ROX8mLkpckrTR/Z6+h p+284PV09nc3j+voMZ1sp5f7sqbe1tg5XHO+LP2q7XT0mNfKUY+tPu7L3K9Y 0/dnjV0sOUwy0D5hZ7pkkuQTyesez7gJ6veB5EjJG65jfe9IBrvvYPvHmPEp /BomGW4f8WtEOewNkozyOOYb6TrmeNN9OfO3rLkXb1sz/mPN/5HkKLT9YL4P 3A8746rZf9/zMt+7kqFuG+86xkzwOHxhrayBfh+6Dhsfum4se6TyJMnRkomS MdX2boz7DPK+si+fug77n9u/9yRf2A98/8p+YPNL1/E9U/KZx03xehgz1X3Z g8/lw2eSYyQz7Ac2J9sOY75zHXN9it/S0yTflqM8yW3v2r9Ztskci30/mHuu /cPfLzTPFMmxknmuw6/vPQ5/53idjJmsft9IL5AsLEcZH5Z4bnyc7XGMWeo6 9mBRNX9/tJ7u9Q33Gf/kvvi+3H4w3y/2Gx+XyYefJDMlx0l+UN2vkr9sjzlW 2G/GLE3h72rJmmq+/+F9wfeN1OdPz/Gn65hrrfvi+2/W+P67NeP/ts1l5cCS te67Tgo/8D2pvNJ+nuByWbqUYhxrranyz/Y9p+i7SlKk0PgPZv1m+zVSjGPM BinqWNO6qWqt66XQa91vtvdlwxR9WWsjlXeXNJTUSTEvvpyYwsfNJJu6jjUN SGFvO8kmXgNjuqRY5+aS7inWsIWknzF2G8nGKfarZOxlPdtKeqZY55aS3inW sJWkdoozYcygFH5vb1/rS3aVvGk/6klG2tedJW97PTtJXk9xxjtIhtmPupJO koslJ0mek1wiOVnyoqSbpIFkiP3YUbKXZDfv1wuSppIm/t7FPi3z/eXujtb3 KMkeKfI72EAOhyfAF+AN4D74Dw+AD8Ad4BBgL1gNvsIx4CPwErgBHAGuAMeA I8AV4AjgPFgOjoJlYB/4D4aD2fum4CPwEvgHXAauAK+BX8AJ4AhwCjAdXAQr wck2/gYvaQOTK/j/kNvgIfAO5qxwCzgAnAIOAcbDCx6zj4xrZxt3ui/tN6bg Cu1d97jHPGBf+IanwcvgZ229VvAezgaPu6Zchfed3AYWg9fgJ7yhgt9gaA/P Td+Onq+Lx7CXXf19UwpO8HK5iouA/Z09R3d/d/OYjj7zbl7DM56PeXvZNhgD fg5yX/AZnMYGeAoGH5GCN/QrV/GJXuUqftDHtvt7DL4M8DdtFZzv6u/eHveG 2/BjoMf0si9893esEqf4Qa4eVq7C+DfdD/x92zbA2wovGFmtDUwcX67iBG/Z 9iiPgReA02M8L7gHPoBv4MU0jxnvNvAcvBtrn8b5e7jHjbPtCbaNgGNgEzbA 2Uke8w+ueq5P3YbvH3o8fAGuMNHzfu4x2Jnsb/p9ZRv/rMfjkaluw+8pHjPe vvBdwRXyO1wAjAdfK9iz1vbAx+88nhxTwflZbqvg6yKvg74zbGO2x2Bzjr+x AcYt8JrpO917vchtrGeux7CGef6e5L4VLF9s2+AzuLvKfpETf7I9cKiC7cvd hs0lHj/TfZfa3gqPwd4v/sZXcG2117fU4xd6n2g7PgU/AGvhCuApXAG+A4+Z b3t/eN93cR4nv2MfzPnLPtZIVVhdMoZhB1wDY5eWq7gDvtY0JuIrmMk3vq5r nOM8axkXKzi9rn0FQ8v2FwxNqYoH8I2vGxg7wc0tXF/T2FfHmFnbmFcyPoJ5 +EfdhvavjtvA7s1sl9xB7BFD4Pjm9oF9Yhy2wegtvZZXUmA1/oP1W3tPlng/ GEf+2MbrBce38zzDjKv4Cl7Xsz9gel37zHmAu3umwOIdvK5TUuA25waGg9v1 LQ19luD+9l5vN9fDGcD5Ji5fJ7k6BZYPcJ6r5fGNbBu8AxN5d98gfamkmeS8 FO/tCuaBp+DYKI/F3ukpcBfMpQ2cBRsR8LqN5z7U85+W4vcIMOwK22jsfuA4 eIscbL8WSbdznyWSp1K8Da+UXJACM3bxXrE3U1O8Bcmd3ya/gVS+LAXGgC8z UrxFyA3zpGeleCNcleI3D+Lq8hQxxp39JsV7jpx6YQqOW3YbfbnLF6XglNwz 3rDnp8D3w+0nWLerzwXe1VnS0efMfpyaAtPZe7gL+93E59bA59AsVZ1D81S1 32d5z9m/c7yH9X1nsMlenuv95EzOTlW/h5zn8+UMz0jBn47zPpBP8Bs+APZ+ 6bNo4f2+2HvezHcG39iDC70///Y+sk8dUpx3Y5/DlT67pr6fDezvJfb52hR3 t6nP4SqfC3au9x7BkW5LwZNOsL2V9hOO9YjKLV3mLL7y/WE9N6fgOqyPs2pZ rQ/1z5Xj3G52H3jYLT4j9K0p7vAK7wf8C/6KT/Sl/Rb7dpt9heP+4HXDNeDH cN/rrG93nztScGi4coU3w5mpow1uDU++JwVXrrQx310p+t/mcXd5npYeA69m D55OEUfMQT08mzb4OjbvTlFu7bq7PSdxDi9nPu5Ce58p9/HBFPeR+9U2xX3k bj6c4t7dl2Isd4zzuz/FXebOPlbtnj6RImcwdwfPf6/H4+fTPkfOqL3vJGfd wuW2vrP06ez+z3i97HFr7yG4AgYk37vnU8Rc1xSYATZwx5/13ezits18X7v5 rjZ0mXfQSyneVw08L2OIhffcVhn3ovujX3aZXEBOILZ62DfwDxwCCyv+9rBv vVy/pXUv9werentcH5fBMLAM7NradX08tq/bqAfD+rnfeq5nvlddv43r+nrO fm5jLLwBTAPvrsrKIUXEJPjY32N5Ky3yma7xN/mH37Xmp/htq537cI6/pIgx 3jOUedsQp8Q0cd7CZ0w7b50l7kMdeonPvZ37c0+wuzpVvdnQjzoP/Oz+i13G FjlyuX1eYT/a2ybfHXz3Vrj+B6+ln2Ntif2B58AbVxvXFtr+Qs/PPsDf+N3q 63LwF3gDnKG29nN3yRDzFHgGHANMH5gC1+EPQ1NwiIFug4sMdn+4whspeEOF Z1CuzDfY/cekeNtzJ+Eqb6UqvjLM58tvEe+k+P2hwmloH+4+dT2OenjPCK9l J+sRrt/Uc9WxPbgF8dTI5b1thz47e25swKvgvXBx9vVX6ZUp9vdX18OBN9ae NZSMZu+lf8oRzyPtC3b5zW2W+8Mfvk+xz8e6Hhz8yPW838D7mbYLN5idYv6y 7nsuIg4nuZ43VVLd1jli82/pGkXE8KbSmxcRP+tJ1yoiJmtLb5sjvjZTebsc 8bWVytsUEUvrU84Rv2vQOfLSn9Jn5sg1q6XX5shZJfXfKkfemOy9mu/7Ntd1 lOFDrJv3GfxponnU9BRcivVOS8GHprvPx+XYp3meE3wjBvq5flm1s1rmPuPd Bxyc6HnhV9NcHu2z+DoFnyOOwGZyPu/HOdV8nGMfZngtX9vuTJ8dMTHEd4Y+ 36Xgf8w91Wf9ndsYe5NttfJ50wc+Odl94I21PWclhoir7X1nR/venqX9Pkn7 PlblZir/lSPXH6i6fYu4x2eork0ODsT/uV2Zg3vdIn1uDr7cT7p3Dix/gfub g1N0kn4qB9fYVfq4ImKkF3ZycIWjVHdYEfH2t6RnDj7QVvq3FJzvXLWfY1s1 pd/IgbPtuD8puGkNlQfk4AO/6/vmHPynJN03Bzf4U/XP5+Awf6jcMQf/+Uvl F3Ng7kvSXXLgMPhwdQ6MOF/li3Jwrjoqb1QExmxYRGwQF3ep/bocXHvLIuKH 2KknvX0ROW+7IuKEGNlVeqci8to6RcQecbeHyg2KOLN1i4hbYvb3HDFDvLwl PTQH5xgo/WoODrSP+u5ZxJ0CQ/hNkN/0hqh9UA4+BS+nHj48hjVlv6fAwxw4 s8rj73X+B5MWuG6N6yvfzE/skNfIb+zNxt6fla4npm7n7nh+ctVHvtuzHVMT HR/c4cm+p2N9V7l/cBT4CXf0/RT5mPZ33ecoz0mcwuXHpcDGlZ6P3y3APeKa +CYfTLFvxOhnjlP8IT8S43Pdh7jD5hjbpf0T9zna3xOdhz/2uo7xnMQjQj7g d52JzimTnCs+t92hzjv8lkZO+cBxPd9l8tWT2r9GOd5k60i/mYOvPiz9SI53 0vHa+6OLwKXRqtsvx/vsEOmZObhmLekGOfhGY/U9qAg8nK26JjneK/OkT83x ZjpcunEOv5pxt3O8e06mPUdOxscJ9pPzJS9Vfk9EjzXngZ/ATTbQuN1y5Ez2 n1zJHh2ruqNz7OsJ5I0ce9lUdjfM8T47Cp3jzJf6jDnfrYm1HFyujvSeOc5u L9XXy8EriI9GjpEdpHfIwU92VnnHHByDuNzFsTlKde/k+BsE9vVY7y2Ydqdx bbz0+zn+XuC1HHmHnHM48+TgEmBszSJwlpx3hPMeuPebsY847u9YJnc+4/z5 g/Q1Od6ug3PkO3JdS+kbc/x+sHeO+8HdIF+2d87cJ8f94G6ckuP8OLvdpOvm wAXyze7OOU/nyKHkTzC8KALHj5Gun4OX7J/jbnGvDiav5+BU3KNDfJfAilbG C87heJ8F53aJz24v6ZNy4CA86MjsmJK+1HeA+3W579hD0qfneH/vwb3IETsn y+YpRcT8+WBIDuzYV/reHH/zMUn6kxxvvwc5zxy/J92aI5aIownSH+Z4E5Iv X3fO3I9cnQOjwcb9jY/jVPdejrflhTlwAozgXh/su/2Z9Kc5/qajNfciR36a LD0lx9uS2LrY8fWx9Ec5/n4ETn1YjnxC7iRHkz/n5HjDgE1wsQ2K4GOrVP41 x/+P/XOvi7jb4G2PHJjLOvYuYi3dc+Af2LdJjj1lP/vkwGOwGJwHg7lLy1Ve luP/68DJbjmwcipnm+NtDB/cpAhO2DUH7oK53LX6Rdy3x1X+PgeXGSE9Msd7 e3qO3EReqrwf+D3wUdXNyPGuIkbrFhGns3LkEfb5S+kvcvytzTTpb3L8nQ5x 37CI2F+s8o85/u/xF+mVOd7VTXPkPvIeeHh/Dkw8LUceJAcOy8E/4B4nar7m OfCAPHqAfQaTh+fA5fOkO+T4DfLQHPmL3AU/6pyDIz2Xg4vAQ8hbWxSRu4j1 uTninfx3WY4ceK30/Bwcg1g8soh4hF/saI5Bvjm0iJwDL3slBzdbKL0oxxv+ f9JNiogjYveAIuL3/0eZQK8= "]], Polygon[CompressedData[" 1:eJwtlnuwllMUhz/59noTUVRIVMK4TBenk05SKdWpow51QnRRB6nodEEXSbpJ Qo2iMhRpUqRJkSSVioiIcCRhGPf7dchlPL/5nT+emWe/l/29e+211v4al4/s XVEtl8stgTzcGbncLBiRcrkK2IsfBpfis+Fi/B9YjC+BPL4RpuoerMXXwWR8 HBM+jz8HBcnP/I7XgwvxB2BSeA69ey2sx58JvzuF8Q48oAyfAW/g1eESfBZs whP0xqfBq3gGffCZ8BS+Bsbm/U1H4hUwGF/JtWfxDeHfGs94PN4fLmd8NdTF f4VF+JVQgG+BXnhLWIo/Ajfw7gTGt+F94aKq9TyEPwhjuD+O8Xf4T7AA7wa/ 4H+EY1ECK/CVMBG/iXe+xL+F+xgXw2eKHXTB+8Oj+LLwb9/I84/hy8OuORbj S8K/rW98DX8zHLtzYBBemuVyu/HztUbGPRnvwjvAYK2F8R68I5RrrxjvxTvB u4z3wd14EbyIvxTeq0LYg78Tzp3W8DK+K7w3rZJz44Xw3ilHnsRXw6TkPZuD N4cWjHvCVrxlOPaXwSvhOTXX7bA9/A367enJubEt7MqR1vgBuBdfkHdu7Qy/ qxzbHY6RYnNHci69HnblVG/FnvVvxrco5tr7cO5oz6fqt+C65Bz5QvGErvgA WIU/Ed5brbEZfg/0SF7jAPwuGJ2cg4uUG3o+OYfmKhZwNuNS+AT/OLyWUYz7 hWtYtdsXFuqe5st7jvnKJX1z8rV5igWMyvtaIf4BzFH9cG04/m+41rfD+3gN aJO85/9prbADfxi6Z94j7c025TDeLbNfBbeE59RcQ+AE7jWAVfLk2JZxf2ty jL8O14Byf35y7b+lNSb3gGKe76M9T37nAsadYRPeJDmXj+L+urxzukfmHqDa 35mc27WVk3nnuHL7aMaVeef4z/hX4d9emFwrtRhvzrtmyhh3CNfKPuUH4/MY t8cr9Y2Mu4Rr54ByiHGncK3thx/CPUG94H6og38f9oHwW7hHqDeoB9Xl/Tpw PP548l61grnJe1Zf96B+ckzr4cdmflbXamt9sCJ5jlqKDxyXfO0IvCYsT76m WimCeck185FqA9omX2vIsydl3rvVcDheQ7+ZPMdBnv1bPVDfDiX4p9AvuYcF zyaohy/T/nDv83BvU83orOkVzi2dOdV49lBYmvyOzqb3VDPJZ1RluCepF+la xrPVM8+tbzoEz2X+Fs2h2I0N56Zi2Il7HeHk5BxqhjfVGvGnk3O9a+baV85P 0LtwBX4NjMSbag15Xyvh2aHh2h8K34T3WHurnj4Nvx4GJfeMv/A/9UxyzH4M n0E6e3RmtA/nnHJNOdg2nHPKNeV4x3COKbeU0zPVu8K9ST1DvWV2uFeox3yI 7w/Xus78yXo2XJvDBD4j/O1aQ7FyNdz7tcYR6gXQLvlM7RzOeeW6amgU4+7Q mXE5TFHvCp+Nw+FmfGJVfLTmY8IxVSz1TnvVF2xM3pN2qi9onHytDX4ubEi+ 1hxvkXmvGkJLvCCzr4dGejdzrjaAU/AmmX0NnIGfDifia+FU/LTM93TtTPys zPeUE0V4a2iU/A1vh888nXXqUaXhmA6r2n/997m1Kp76D3Qw+T+Q4qE9KmSu VlnVtybnhmKmWClHRuNjwmehevaQcIwVW9WUanNcuPerRmuG/9Pov4z2aGC4 B6r3qUf9D139LxM= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0kk3l1EcwPFHKf6E08LCooVFixYWFk7neAmWXoIXUG+kReeYQqJUZC6Z h1CmUoZGiTILkVnGPv9j8Tnf372L57nnnpucdTvzVkQQBHdJJzxfIkQcV0kk iWskc50bpJBKGne4yQfeE+1DIaIYtI7RIW0m3nxPh2liIPwve3laQB8J1v36 kovmRo3UfH0XPqP5MhdoCM4P/iIcfaNnPOeEek55zTF1HFLLEb38o4Z9qjmg hz2q2KGSXbrZ5hmbVLDFK/5SzjpP2aCLPzxhlces0ckKZSzziN90sMRDFihl kXbmKWGWB8zRxgzF/OQ+v2jlLUW0UMgV9xNLrnmKab7zg0ly+Mo3PvGFz2Qz zkdGGGOUCTKC87fzHyhWW1w= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{273, 272, 276, 520, 511, 512, 510, 514, 513, 435, 516, 517, 515, 519, 518, 436, 522, 523, 521, 525, 524, 437, 491, 617, 478, 509, 462, 507, 461, 508, 434, 275, 274, 273}], Line[CompressedData[" 1:eJwl0jVSBFEYRtGGVeDu7jqDu7vb4BGsgl3hLgvAYyADMog4UwSnbtdXL/qr 01d3x3ZigiDYI+SjiAh3rMcGwQYR1ljl1r6sKyywxCI39jmdZ5pZZri2T+oU Y0wwzpV9REcZZJghLu39OkAPffRyYe/SbtrppINze6u20UQLzZzZQxqmnkYa OLXXah1V1FDNib1CKymlnDKO7cVaQgFFFHJkz9N8ssklh0N7pmaRRgbpHNgT NYk4Eohn3/7JF2/8cs8PD3zzToq3j5qsT5qqH7qlz7qpL7qtr7pGmCaaaYne iTba6aAzelO66aGXvuj9GYj5/x/+ANDpNqs= "]], Line[{493, 467, 481, 466, 627, 626, 439, 527, 464, 526, 463, 619, 620, 618, 479, 460, 438, 625, 480, 465, 492, 440, 628, 470, 490, 623, 484, 621, 483, 622, 485, 495, 494, 441, 501, 502, 500, 504, 503, 442, 532, 533, 531, 535, 534, 443, 499, 624, 486, 530, 469, 528, 468, 529, 482, 493}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{849, 629, 835, 935, 989, 883, 981, 982, 983, 851, 972, 861, 1039, 1040, 1038, 1042, 1041, 862, 1047, 1048, 1046, 1050, 1049, 863, 1052, 1053, 1051, 1055, 1054, 864, 1057, 1058, 1056, 1060, 1059, 865, 1062, 1063, 1061, 1065, 1064, 866, 1067, 1068, 1066, 1070, 1069, 867, 642, 635, 634, 633, 632, 631, 630, 849}], Line[CompressedData[" 1:eJwl09VuVFEAhtFTpjhcUR6AJ8Dd3a1YBSmlLd4Cwd3d3R2Cu7trcC6w4FLc XdcJFyvf/vdkkjPJmQLJGbHpUUEQZNI7EgQPWctz+pBJX16wnkLRQTBAC+pA LawbtKgO0iI6WIvpRi2tw7SUDtcyukXL6Ugtq6O0vG7VqjpWq+g4raY7tIaO 1+o6QWvqLq2tk7WWTtE6ukfr6QytqzO1vu7ThjpXG+g8baQHNFYXaWNdrE30 kDbT5dpUV+gdmjuv1gtc5BLnSXB/WOP1iJ6gBytZxTIOkuTzztqdJaTYS3Uh +2ljd9JuzKedvUDnsJfWdkfNYBbJ9mydzm5a2R00nam0tafpJHbS0m6vxznG RBLdpek5tpFmb9fb3KKyXYlU566MpoI9RivqCD3LJlLtzXqTG5S0S5Di3IUh FLeH6hlO08KOIz/97XzaT2N0nV7lOtc4yhV6cpk1nOJk+NvI4zt5yUlucpHo PrvmIJpsZCXBfRaN8Nc5SgPinX/zhx/84idxfOM7n/nKl/D5+cgn3vGB9+G7 whve8pLXvArfK57yjEc84XH4nnGfB9ylF/ci//+b/wCnVoDz "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1XmcTlUYB/A7ZszYt8lWEtkZM/YQWYuRFkMpKkvKPtOiTUpkr5SyhaJF KSoUpVIoRAtt2qPSpkWIsvd9Pv3xnd99nnvPvfec97zvVB9YkJefkiTJZH+G pCXJYLoXTpLDTE9PkmzuI4f7uYRLM5A3cD1HXfugfIgZzGImx/TnyLnMZh4P c1x/gXyE+SzkUU7oPyYfZxFP8gQn9Z+ST7OYZ1hCwlKW8SzP8xwpLGcFL/Ai KynEKlbzEq/wMqncyCgu4y4aM44R3M0ExnM5b9KEN2jKOnKtSVducnwzzfmS ZtShOF/xNVOZRl96G9NH3kILvqUl33AWdSnBTnZxD/dyZbyrsVfIWynJ+epW ciT5lKK73lWyNW3IU58t61GaC9T9ZFva0VN9jqxPGS5U95ft6UgvdQfZgLJc pB4gO3Fu7A91Z5lFOS5WD5Tn0ZUuNKSAQbGezl8tbyOTHupceR3X0kd9jfye bnwX8+QHBvNjzJHdMRd+Ykhca9ydsgIHOcR+/uYA5dnLX/zOn/zBKezhN37m V35hH3Ptw1xqUpcsGpJNDuvpFXP07J6xHjIv5i6HyxMxP47FunCcYYyJdWRs rDcTGcrtjKYi/3KYfzjKESqRuHcKJx2nykJUdlxYppNGETI4Vb+YLE5RSlKC 02IvyDKUohxlqRLrIcuTSUUqcLp+5bgfleK6uAdV9avKM+IaqlMtav0asiZn UptacS72t6xHHRpQP8bFHpHZZNGInBir30Q2pTHNaUaN+K7IlrSgdXwP4nmx 52Xb2PO0i70dz9bvIDvSPvYrneK94j19hpmkcsBv4W52sIW1rGQJC5nNdCYx llbGFHOPz/mCT/mMHRTlYz5hOx/xIUX4gG28y/u8RwZb2Mom3mEz6bzNRtbz Fhvi8+Z11rKG13iVNO6I/eLdpsjJTKIRD9A79pxzBd4/n5GMYDjDGJr2//+F /wCbc7IS "]]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlgk0lV0Xx81CMk+9KSKaJKGE/CtU9L6RJKFZCikNKr0RRaYMZSgkmQtl yphQlHlKKEPi3svl3vs81xDNvud7z1pnnfVba5+z9z7r7LP/qsfP2Zzk4+Hh qafm/1dBGb3G7UpcNAysXOkUOYux1I3GhylO2p5vX3pnFnsO03j4VbkYcz6T xqr7ir5LgZDW5OKJAn/ydfGvSKkWtE9aw0WosM/EFecZGAqUfXyxjose81V0 g4ZpmO0QiTq9nguFph3CDpum0Vs6lFhPcWlU16Wn+VOoSFHvEKQYie8W78QU BP2MaObU/hOBWv5ZHyZRL/Dy0V3q/E3Ca/U3eU7C7MLkpSnKf/zjE3kXpSaR v1P49nk1LtTXKc8yS7mw8o1LV1jKhWa5foz2CS4uLdTLqaXyyap4LX9wFRdG nRYrFshxQbtes9iORuL7qUOiTAku4sx+tEpdJeElxtzqIspFraKSSb4kieqX 8smBAlz8/b1EhucZAWPItt7k54LpumCs6SGBpOPel3z4uOh2Dtv7/A6BT3lX H3jxciHyzkgl+zoBvgMmxu48XCwNH1apOkMg33D/ZWuK83+L92m6E4hQXpSt T/Ftnkcdd10JqLW79i6m+OdEgMCvUwTCvPzOiFMsFNiipUMxz3+DC5f/BgFP D/IvxjyJFEethMSTBIpP5Os1UczcsGOww5lA6cvuIzEUF7IUbhqdILCnYrvv YYrjT6s5Zx4jkP3nW+RKihtEnW5JHSXws04nSPQ3ibHciu5/rAmEawpEjP0g cZJV1puylcArv+Ls6m8k/JtWHRTXITCueId2b5bEDofNq6NUCaxMIUaWMEns iW5YxanmYP5zuQftI4lKqcLEvmMccLh1bewGEtoKZmfXCnPguH98LcpI5Jxk +5fnseH7+mjYl0wSUR5tlx0d2RDdKOp9MoyEYdqvqcBhFlp758SunqXiVy/x mfZgwWNZvvkaaxIv3DmTxjwsrNMMC7y7nsTOo95xAg8mMNiyKbJSgkTcF52v M3oTcJBqinzFIZAVWzlT3TOOxzZO6ZGVBBSu5lbIOI6DJWIY7RZCoCCE5p4w xoRza9GNK7YEqvuF/in7l4mQH/npg8oEPAKviY7IM+EX+O+pNwwO/uhti0wo G8OuFTmuFrkc5DzS0zp/dAx1axQSYs5zYGedJsazaAzNUczYFiUOPrB5Z4WT R0EUHjAQrGHDxM3cPMBwFBJZY1FxzmykiX6ujh5i4LMGTf+9MBtBh1pEPcMZ MJkqTuDPZuGYzFY/V1MGWvZ6H/fczUL05731NB4GSvYtzLNnT+DopgyBfW/p aDRbXXHx4gTmIvUapG7R8WpTOCPgxziqCvPLrCzpYJoMLuT4j+N5Yfyv7Yvp EPH+o8QnOg7LV7rtm6ZosI9o75aIZmKkyFw0vJOG+bLa5/bKTMgMSlgXlNKw adbNS/7pGNyCnhSppNOgcNn+na7sGHbmTapbR9Nw3y17l/fNUehuODJwNowG 2/Y/R9bPMLC4YEgsjeLYpkPzd12pPMvKvTUo++EbC5IbRugIpwk7mabQEH9F YMHUETp6DR369hbToOeyfk5lmAYj+hXZkjYarGP67ae2UXF6qfN+maXhoP7U dObTEbCXfI3+toKOZo0drmsUR2BuVGzBdqBjTq5nwaHwYdCcBjIrY+jIsFfT FRcZxpYuTqHvezoyPbZDIOwLTueuEnCQYWC3usEUv8wXVC/tWx1sx4CptWek gPAQ2q4fdy55RuXh1Xj80PdBBDgeWbRRaBQVNZEN0z8HUKy5opR9eBRL35iJ 5IgPwFH7q+FEySiGQl+EeWj1w0CFLXZKfAyzT4qT1zv0wXmHLuP1sTFcEjwj N3fvE7ZIas9cLxpDYdeqL+97PuKCy8JwQz4m9jIPxhXTe+G9ftHcclcmIguZ tZ/4e/Htb/3bEY1MpDw8Xey6oQcrl1jec1Ybx0/lqti3Z7sx4F5z/fXlcbx8 dnbbjdIP6J+74DFWO44b7etC9ot9wKJEm7M6YhN4slzLStu1C8/z7PhF/pmA mNBUrXzHexybHdD4HDKBrhrNxLuO7zFrft3ToHQCymT3bxarE7NBTmafhycQ Jr9Stc2vE1oSjscERVn4M3JmmKnUiZ2pNaFftFk403atfqakA5YiDtrJ+1iQ P/BiZcGBDvwwNYOHFwudDLnX7+baUe7uu+JiLAvuQVzVhUva8Vio9q7MSxbU 3mfeKrBoQ6K/i53rZxZmvnqmSvq1IjhbPPjZPGVvWmIeU9WCCyH2EdLL2Hhn EPWrWKAFzzWe9NQZU//Jo+c6v/Y2g/bd6gbLno1l10Sd+UOa8DRBiU/1Khsu 3kW1qQ2NeBpw5n5cLBs9atPpFpKNcPJ7oHa5gA3b+WUGXkcacLRoOy+9mQ3x 3ovVz4vrYa9kODhPZ+PX5QfiodL1uD+k6Mn4xUaonI8k0+IdLEt5ef9QdW8a FXixP/QtDHPHatz0Odi20Vag/EMdxF3un7Ox4uD3LR+LUY06yP0kU3tOcfAg K+tgr18tho0bCmRvcLBgnZ+4+MgbqIuUu2jEcuCzNfCqjOUb7GusiV2ezcHw Tc0kv7LXOFZVcU+5igPn89F7p9e+RpB/VfiqTg4mr2jvls6qgVnz9hE7Ggf1 Pda7wzRqoCPbY/dihoOgCy7t6nbVyHt62NpKkIDp69Ndb05XgZ2yaF5XjoDk ga6bZwNe4dBB21se6gSk6KoyeU8qQbj5LRTSJcCqTrINK3gJ2lxTyRFTApYr Wk2Iugqo2h6anLUh8NRuaeqWkXLkqx/c8pHqP/2cjWKsBeVgj8sLSXgS0Bka yLhgUIbGfrIqw4dA/IMwNmtPKVbKnBDtpPqrSg5vz1rPEux2av5ulEggIE2F FpFYjH7BrXbTTyh/GZ8brna8wPkb7W/5Sgik6dosObToBTwYJuxLbwgIKo+K dYgU4daeeoe/uqj4929NJmQLcfB2dFHhCIH5zmXDQesK4JudZ7Z3ksBhbs5k 8P58bKBnjYjOE/Dv5PyclMoDfG3sJsVIrGv5dJod+Qwqhfa1sookRm+nBzT+ yEWU5UKF2iUkRubuvBV2zYWT3LD4flWqjxbwCEX25SDqVFxw8woSuxM0eHZZ 5UDnwqCt5moSSbZHty6pz4b0cjcD13UkUq3XiJZKZyNXtjhYTI9ExlMJueIT T5FU5bzYfzOJPyaO5+jlTyASkpjWbELiUtu9q3JyFIf9ecs2JSFBeqk022dB 11YG9RYkGMndu6dTMxHgKpx+xorE9DeEWE5n4PikzZYhWxJOFXndURYZSB8V 0lN1IOGTFsg8tS0dKI1T/Oc4CWHv1rBjO9NAMExrBN0oe0XTrkSHVPRpTjyz OU9C73pgsvm1FMzHK/caUnqKfePCs6SMx9gjJP24zpfEvqo7jOHSZOhkbBj6 GkDiXOVc+obNjyDJZ8f3IZTEh9z75LfWh/gdObrMOYrEhPq75Q+NH0L7fGtC 0j0SjTTfQdvniZDLjXjVFEOiq7FCQ1ItER5izZ9YcSSK1HijXyYkwOf0KyPe eBIJWnflWFIJmLUV3KWYSOXDozAgdicedom/4tWSqPsLsSwSE4nHloCk62rJ JJRGjDgfgx8g+pu/gWIKifnM4KUWkvehs7uH0U3pkg0G3aVZebHY8zv2sV4u iQibzxd3noyB5sx7Y6MCEgXnBxckaUeDZ/ttPm4xiXsjq74bi98D62hlqX0F ic2PI/oOyN+F79DvVIUqEpnuaf7GWlFoDh63evyahNGtsKI1qRFY6pKmPFtH omogIcOQLxyLi8c3LqF00/q+Oh9d7zAoHan2lGsmQZVg9SsiFGWhnv+qtpBI 69Nv/+tUKCYrrec1W0n019cMbRkJAVNjufKqNhL67j9uyx4NgYbgmSn1dhLS +uc2PWoMRm2fwfzODhKDayXj32wMhhe/Hb9zJ6XrYpatdssKwsJoMy3v9yTy L96S9v0rCNcSNLODuqj3vSh3c1FQIO6ciyeie0h4f5SuCtELgHnP+pnlnyhd OZzxsW32JowcwncF95P4H6boRzU= "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlwlUjWsXxyulIqVRt3AbbqTBVKiUvxK6FLc0SIiGLyS6UaGJRk2aJ5Gc BhpolKJRNGjUhObS3Dnv23jOUcl3vm+vtddev7XXs/aw9lp7P9JWN41sOdjY 2HpY+j8rofUio0CUic2BXTvOh9ERd4W+XkWciZgNYXc8LeiwDPp8UE6aiROy mpMJ4YtYZjr9s1GeCYP6ezOcHQt4KRDvwKnMRI5i74eDfy3A88eKmuBuJuTY NurNes3D7YlNkcYeJmo77ZJN6XMopvwkGSx/wdHQWd3bc5BM+SV9ZhcTgbIz +Vt/zuKrybvTpkpMpNHkRsx8Z2Fx+Ozx9ax4NpvaM2+JzkKjXjjNTYaJPPZ0 HY7sGdgHqoY3bmHCSMj5+Q2bGZxMd6nzZuVfUPeP2pE/Z+DURw19LsSEpubT uOpiEkzefWJKfEzM7p9zOH+AxKvXP0LkuJgof/HZcfM7Arytd+Z+r2H145xC MDWdwKNT46NdHEzEjwsqdkYR8ElRvZbJzsSjj3KyXfcJnEi/7H2PjYlBk4Jj pAOB5QBjwoLFHiv2RXzXCfTwhhpqsfjbT39rhWsEZmfWZ29lcQzHTwO9KwSu iW0xE2Bx5CV/IzM7Amz/Fyb+838hINgcRpn5zUB13eZ7zrYEpg7P6gyx2Dj7 r6e+NgQio828PrDYTbiDPcWKQPk2roIUFvv/UZZSdYlAXOlSny+Lczw6vAcv EqC35WafWmXgrrCBiYw+gUuU72KivxgIuJ/b56ZOwLTw3z+/LTPQakufoW4j sPeSa33cEgNLCudsnEUI1Pe3+WbOMpAsuotPP54GnYWth2UnGFh06BXZK0XD UohbJlc/A2/M3KoZWVT89E6wM2lngM645OR4kIr7Lm8FxOoYkI01u+DUPA2Z 1ZyzYkUM9OuczTLbPY1DTOXZEQoDb0VM7J0TplDDtyYt9BEDdWVG3ud4p7DZ 7xHP5rsMOPGdanzmNYkK/Zq7iVYM0NS0p8aWJ+DelCy16SQDmybcz3z3mEDi Gb6GankGpG/vNjL+Og4LebbYLE4GvFSnBRw0xmEtoRU41U9HaAl3knP6GMwO WI4lvqWj9SFXxheJMfx7cli++xEd1qZ9+xZiR/HM9cDaChs6DHUvFlyQGEWF SYeDtTodqxLBxo9TR5De5WobyVyEludGB2OuEazPdzB9/GYRYt22KjZOP0Dm brtU7riIxhy37MapYUTsuX7kkMIi+AX4i185DMODze2q6fAC3NrLu7A0hJue n2hIWMCOO8/yWsOG0D9+PnP36QWkiW89WKk8hHN/aLmLzc7jRfPblxFlg6BI +A5JRc7jTdCCZdHZQdysnyhN2zsPhVrvcwkrA/hZQ8ueb5uDmp2qvLjFAHzI kLNGt+bAOWeQ5NPQjwah6koOkTlEcjm2JuqzuCApBm9m8Tmr+ZF2Xx/OiBz0 nD84C23emwm1Vn1Yuq6safBxBqUur/zSV3vR3bfuOOXUDMKLbmfL5/RiZ4l2 sXMRCcd7UkWfnXpR79Bikd5B4LzWZR5VvV54ufdtUGfSoFtbZLJ7Zy/qlnLe u0vTsMZ/rWimbC/YVDKX72yk4upNQZ4yxV6ktxm5CK6bhlS11c2vJ3rhRNdy uc8/hQbNp9sVvHpxNt1Yu3/LJHYKEU821PZCXzDNZ5vaBNJ1721gSvVhs+Lk H1oXxsHhEunhHNyHRoMNenMhY/Dm2rdTmqsfx30tIwq9R0HtNyrcVdmPQ/XJ Li1BI5DT/mV/JWIA6Tpq3JdTf0Bi9KxTlcYg9onrzDg1D8N5jJsjqXAQM0oh NA6eYeRWnfXNUh1C3ybHJN5/hsA5VPTasGQIrvv+/e2VNghST3nNGu1h6B1t ki6aGICKUGNKUM8wOsuNI2VS+jFQON4q4PID0+eiuZNd+6DdpH65hn8EAkTs 2nzrXti697FLsuZteLNfCY9tD/IrzXNLVEex5GLY4323G6GPFAUiKkbRnOEm vvPZdyivXfFoOzKGn9VCWsc6vsGg4YoWWTmGaxvHQ5Q5vmGkVG/m1ZFxHBem LJ3BV0Qle7QySschYNbNXAnsgo/BysFRpQm8fHD5M2WwEwJHNx/9EDWB1Dil tbPanQiS7Zpnm5uADlVwd0V2B+zNokaU9CbRpnkkfL1UB7i2bigejJ2EV+kB a/rjdrzdYvmgrH8Sq61DBTX87RhISQn02j6FZxNGKipBbRCp9T5rfXUKtz+M sbvwtUFB94n53rQpmB9qdR2N/oK/uIeup/VMQaC9JZeU+QLqFgdr6w3TmCoJ qhYragV33O1ytoPTCNalhNEMWrGQY67PZjsNN1Vh5eFvLeDf23WRFjQNXT11 d/8tLfAxqaXteT2Nv13LXXG1GfsbjJa3tEyjQE76V9T7Jhw4I5FKp02jemsV v7hIE6TjFO8y1lFBi9SZuObUCA2t0Koz26gYsKPb7OtqQGBm1dMDh6ngO3p7 hEepAWnhvnf6LKgQNAt/yPvwMw6ZHgrgcKHiOV9cXvdkPRx7Mq81P6JCok3Q SN6wHtMnqrqt0qmYWw2oSyurA01K6EVvKRWminum+HbVQWOFI9S4jYrODX75 B2NrMdYpKicySQVlbbHZV45aZC+dc6tfpeK0jqJnzO0aiB5LRJAwDQKHd7/c M/0JsV/8dK9up6Hv/IXQ6//5hLEdmmyuGjSUV9oErx/7iMf3Rueq9GlQDOeP LzD6CCW1vrjHl2mwyxmgzH6shpgBynydaRDe8sLVVbMa3Luj9SMesvzzFv0r xR/QsjfsVMtjGuwHvv86pPEBxNysmn42Dd8qhtp/V1ThmmG2gkgZDXlC2S8y 1KogbSuZFNZCg1nl2PmXRZVwMYjXVR+iwdG0dzFXvRJqSiGlW+doyF0ullzx rsCKU/tlfQ4C6TsNU5ISy6HkpOrcJEhAlf5u0DitDLuF9xVpyhBQ/qCsyigu hZCzWvTsHgJdo7l3ljrf49ZvhdeMw6x9aXfyU9/yO1iHBVDMTxPwGvjgvEPh HZYf/FSSvkAgwY5XPoa3BCsnE8bXOBKQiu+i2THfIkXCQLz1AYExw5aLIYtF oEhleCVGErDh4lhey1aEE0K8D+9SCCRnvOyeE3sDIkczwy2PgEE613Yv9ULc sJwtyasgUPmqOL63owDahyk8sjUExL14qiOdCuCZbelj30hgq1hDUphQAdw4 VX1C2gg42wX3VBXmQ/3dfYOAb6z69qt3ipvnY7sTh8SFfgKJf8lcjJrMQzO7 /PStUQLsx/T8dnrkodLun40mVALFwnHfm4TzUCPHHs8xT0B3iRumr3Ixa0Nz 9vxJIET1VpAjWy6ki6ObrnKS8P54JNP47WuctBx62MBPgv5E0F/U4xXUI3ao ZIuTaL/Ga33EMBt3PJcLhWVI5D03duNXyQJf7h5DXkUS+UYP8kriM/B775X+ 76x7a3WixjLjj5eg3/98uO4I6/3Uqam8gnTk8e5MGj9F4tczusKATRpinv76 qmdOwncpQSdSJA2XHc4e+GRBwiF2XWj0p1SkTfeP7L9Iwp+/JHzANRWipTqb ki6RCJY1+XVdMRXiVgVrlq1IcBeav9w/mIKvAasDBrYkTNokQ/fHpuBEXHp/ rB0JdlLd21Q1BeyfDik9uUZicJOnT0QHBRqXIy+GO5DQGIhl63ahYPHivxO3 HEmYvYvvkJGkIEtWTv34LRKkwbS2ZdVznPkZWbrOhcTWqYwoGD2H4IGr613u kpgcXXTbNJaMrrZsq3p3EqoWMUEt7slIH/MN4LpPonHfiIqhWDKCAyQPKPqQ aBJSFBq8kQTzkIWb7EEkeEr20WQbnuC5+8eDN8NJmG+6I1yERHzRCH/vFksi 7ru8JltDAuJ5KL7KT0ioZy3UBNvHQ4kcTQ16TqLY5bLb6p9xiBRxp8Snk1Bs laZuGo/BeV3OmPNZJL5bFMvmVEQjV1/tWE8OiWUxStmaXdFYXUu7yZ9PwlXr 0en7lCh8YNuhtKeQhODS8tE1ElEIENfi1GXt9cQf4Seux0SCEsPhcZx1X18M OMnfuC0SB/abXl0sISEkwLVh4F0Ego7+XRD/nkS3kM+PSMMICPnpp+0pI3E4 0Ky8cyocJU0qAZXlJIJuh813BYZBybmQrlpNIvXFp8hgu1Dc+GEwYlZLor6j YjrFPhgcalcTdzWQCNP9e7tWVCB61F8TVc0klCQY4pYygVAQ/a7/pIXEjSpv P9+Ch7ij3lbi1Epiuu1wWsqxh1hTUXDy6BcSMZ4zg/k9Afh3vb+oSBsJAfv2 zpdOAbghZL5jgMWDPZKhf874w2ZczKOnnWT9g5I2+jr6w632tGRbB4lzxadD Ps774ViXyPbqTtZ8W7mktdz1Q2dFx4fXXSRksuRKwhd8oVmtJ537lcSopL97 qpMv9LNWubO+kVCbeRGxMO+D6D7xlGffSdze5NSUEOIDTmaEvF03ibGxTrrN dh94jH25r9BD4r95Ke0m "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Xk01dv7B3AUuU2SriLclBsNElIqeYuTjBERiko0GHIKxYnM0TFEzgkh ynhkPA6hDA2SUkIo85whPkhm3d/n+9dvr7X3s15r7b2fZ6299nokrZ2MbHm4 uLjqyPm/6PWVQa5caioppoERNrqQ+9dnXeHLRciv6E2+yaWFHnVBh4xnczgf uE9YnXMMUnXma1I1pqHvuvwmewMFkZfB0Df4hb/L5G3y7miALRDXcLJ8HIaW P5eFvdDAUFnYic+rR9EQsVIsroAC6+8XD/ApDOHJ6iYnJ0dNlFcFdGu09IPD zBCi/NYC75ZrldunemBxtnPdiJMeJl7SZ2KpXSjcqkvjv2cI1/SSki0BbXjT QPC/eGCMYP1KYYvSb1g+wBlfHngaSWfnVhy82Yg+9rB6bPpZnNaKtMt5XI+j 3Z+UptIuIFA51K4+7Qv2JahqNk3aIF5bMIRV8wm5nqWbY5auQImLu1eG9QFi Z6WWzUw5guuczPC61irwdMVzyfPfQP1GL8YF80pEly/RNT+4wrmqrlZA7A1E 1fR1VexpcCk6mjWy+RWKwqg11QLeCHOkelT/KIdKdpx8wj5fvN06afSmohRt vNqf3NL84W5Ir18qfwEBXj2FW86BsKNES/f2FKNvw3/vKCl0PN3Oc26VdBFq ZSiNx3TDINr5XfYgvRD51MWIwUMRcAheuC4hUYDN9xK9pd0jsdTK9tL7kI9e lfUaA8seQtXY1uBgKBuqceX5/P3RuLYxp93FNg84pVIUIx2HOOZrl7STudgb z7DvbU6Aj6XaXerhHCzzfVR/3/QJkhWc9xT3ZaGo3VBDvvspjmTGrbr6OBNV Dx8l3gxLxpFLPluqLz8Db53s+90XUvFyQuDdTrUMlEQuTOudTUeeodpkt0gG eqq1i4SS0iGlNjnx/RcLsgEDJ54Op+PP78iL6z+z4PZuoWBegYV2b+YAPZ0F z6LtwxIeLFyWlWV9SmYhIOt6As2PhTNjz9cKPmHBWOdfm290FngUxDeaxLNQ 21CprPyAhUjrZZRbsSyIdkimDTJZeBTzv/H/0aVESqo0ioUMo7V12uQ5gS+y zV3kPrOliyHziSykde8LkyHv6ZsaX2lJ1sETIfKDGsbCsX/9Yl7lsGDk+6a7 mMxrG/BYWeY5C1/2W5sX2rKQedncIY47A7fWUGMm1Fi4UO1/slsvA7RD2yj2 Yiw0PdAiZqMz8Plz98LW2XToabga9fdngCu98Yn5qzS8PhVNU+dkQTdd2cwz LhUb3BwGhGxzEfVzjpkalIJBIxnvBmE2TrHKquf8kzE09EEkeDIfQvnG5anh SYhk6If7LhRA15ZRWNv8FIRsvGp/2XP4SjFODEs/xZxXu7RoUjF4XDIHYryf 4Oa7JtNO1gv0Ptp9K6A7ERSZcfexr6UQnpa0PK2TCAt2ZfHC+grMXJnN2GOa gL0mtx6udnmF0GJNeuSOx/Benkykjb1G0IXhilVr4zEXb+r82u8tsmQOF33i iYOzmHuM/L53OPm0UHPjilgoX60rSuJ6D6sb0XtlRR/BaHLHiuihavB/9hOt 6ovGD12RqMLqGnx8FC5nUR0FaUm7X4k9tbCn+v8WefcQ6W6VQw9i6qBjFbd9 8+qHaBZlL5v8XY+zHEWpISsmvOw4UcEXvmJNsWLJm1IGfMbLWjVaG3GM6z+j CWkGaIvuguUXmuGbL9tTFhcJ9k5fJZtf36C8QqrTa3Mk1jpSuKzDWmBf+lFv f8wD6PJH2z00bYNuwHjQLskHUNQ3U2RLdcBQdO/qWHYEdm76zCj/3YnkpsTW ar0ITMUnUS16u1Bqwp/CR4RDOKrTjvKhGx3hU/Ws6HBot2dc3Zbdg3/FVzH+ 1g6HVNTBufDQXiiObhx/1nwfkVEPpXYk98GaT6Htitx9GIp05Axk90Oey2yL QVQYunijnjQ+G8BMPm+U55owMHeu8/eI+QHLtg4/9fBQTLEF9dpvDkJpZHZ0 k0Qo1CwjVZ00hkATjs1OKQiBtlv1HaH/huCQG2zEMQmBiKPSOr6MYYTJ+umZ tgVjyKE4XslzBC5vxbnGrgWDWjHavlfxJ5ZVudcdkwiGvaZr+DL2T3xeqi/f 2EDH3Anpj9skR5HXR10fH0JHx5D4kpDvKDJPhubv0qGDwZ7aYNg0ipkQ9fMK q+i4sa01S+OfMcQrNKgr1d5Dp8O4qYbVGD7Q+WY+MO+h/MvNxCDGGBwK0/tj rO5hnOlhvvfNGB70yjDfi9yDGbVkgnd6DDo+vF5ZzUGYDZvXjP2HgHvFouL3 qCAYvGouuX+UgIlTesuEeRDcuf3M1SwJLFwY5MsRD8Kw6K8tX5wJHLjQZtbU Ewi2vvE/e+8SyD1uUKHMCoQD/72l7UwCWSY0Si41EOecqmtOPyHAXciRuywX iHzlhKeNmQT6J2zLdIm7GBbKTeopIOA6EflDNfcuyqS/Fa8oJZDElDKTuXEX WtX9W3JfE0h9sW5oat9dtMusyZarInAyctiJORsA1wCtpqoPBFQ2ejQuvQyA 2kBt6rNPBKRPcN0O8w3AdLL+hv9qCeiLZrfVawUg9ztTb6COwGqPrYlvBQKw 8s7xBbcGAvwl1NtWzf6wUJJmVH8l8OfI95nYBH8srg11G2gkkLE8WN39ij8U vF+2tTQREFi/i/+XvD/4hY1v5zQTOEixtZ2b8IOo+CxXyDcCfyVa/G5g+yHl z+Gf+t8JvF/Urrnj4ocEV8GCBdJCB3JNp/f7gRlpuPNRC4GxiPuUA/O++P2l tn13K4GCrCh31TJfXJk47FZIeo3LX541br64tTNL0KCNgI1PrepFsg9OU413 dZGmaxw492fcB1cb1Bzs2wlQsxeTY7J9UK19gHuSdItH8vReRx8wgr9UuHQQ qJrvM6nY7YPFS2spU6RvfXIMtGj1hmfnPB+jk0DJo9QCr2BvTJb7VMt1EWgq W+KWOeIN/obx6SrSq46P06K6vNB083XL2W4C4itFat5peyErvy1jjPT2YuFk OvMOdsml5MX1EBCcGeq+0e+JhMP19zV7CSi4Jm+7dNATL1Tzr/0k3TP6lq0b 4QHFwSvXwvoIvPCTeFAwdht1A1sFd/UT4B3qrflscBvjdLrEW9KDNclKPhwa rk2tzjYfIMCpjZV9LkYD5xmncYQ0zaDY7Ogld1jl7PKK/UEgxTN4qo3jhulM xaOagwRCuH9V2PC7Ya7fWu0naW3T3gTO+VuIUhFODB0iEC2m3rbJ0hW21Lk8 zxHSG5Xf3r3rDH1vO031UQJG8+Il09+uI/4fUUrnGIFkbg2NYOfrmFmrVaFG kO9d3Ch1ed11PJ1RWJVI+rfSnUWPHCqG1pzZu0RaqFIut9yQivvRjipm4wT2 qOYRlEEnFLo5quSR9pvroNkqOuFq+O5t/BMEJkJm7j/wvYbjgmeELUnPz+bR OI2OCJpMlcwl3aWnLsLZ7YgqviOG3JMEIov2BZylO6BvNFPHgPTUpudmzBF7 dI6yQ2NJ84r2SOsY2sNBfN+2AdJPv33dvSHuKkxvtMc//0WAq9JGWGfZFVy/ V9V/e4pAR7bJiLz/JbRee/tF8TeB65IhI9LitriddWBHF+k9CikK0i3WcKjS /Wt6msAJmYlOeuN5CNNyukdnCDDo+6VPWZ6HkJ17mPQsWU+Jz9a5L+dQw+OZ eo60bKDAt+ZRK2zYpCH1kHRw0LnXGwStICbA+Psj6ceBtByfQ5aQvM8X/of0 urxnzlXMs6DbvRPaPkf+f4M4TfbUGYyu/MPRI/1oLkFP9vQZJAl13r5Bmqf/ 0HapUgu4zok5RpEW6vr4fmSLBTYcHeh9SdpLRdBYK8gc7eZud7pJG+cWh0n9 MsNrkbXqvPME+nLyT9FWncbUyhp5GmkVSqWmtLYJaFsv7hwgLahlI2PMMkbx kbkW7QUyX0COlMkOI7w5+nAwhbRjUrJqZokBekds+xUWCbQXhsW/yTwBi7Q9 asak9/B8rfuWpo9pm1WeN0hbdy5uTXimB2POIiecdGV6Kl/Nc10EvBifyCJ9 fEjSb2ONDnpbVu75QPqK86y5x2EdOHqNeLWSlngTaEpkaZN9WPPWT9K3zb06 zm3TxrTjmfVLpF9/2pVfGquFqePdRmuWCGhdKjG1XKMF1l83rCVI2+hHuO33 PY63DDEBOdJQsjHaP6+J6dolC5AmAos+3bx7DBOjEgP2pK34CgcP7aQgprsh gUn6/wDysZ7K "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwV1Hk01VsbB3Aq8ZYy5KiTIk4DJdUJiXhIiUiGpMG9yRDhIkPT1aBMyZSk EJGKImlQKXm6IVIZz/A7xgpXKnT2EfUmvfv947d+67P2Xmvv/ezvfjQ9gpy8 J0lJSZXR7///Nu+DowauDJpK6S51Sx6FVBgyifFiMHH7rehr1qPg0Kb8UyOE wfh35wruSo/CxGhd3D/HGWRXa/l/fv4NuH+dLDFIZLDyS7WX/OFvcN7sVohX JoN5Wt542/AbnGJVSfndYLB0yH/hwM8R6C96SfbcZfCvydoBP16OgKjVL/WP pwwuOzH1o/7FEQitWi7v+pLB8eC/X3A9R4Dzo3CtVhODxwSbstUNRuCDwsOx TobBbRad99fIj0BT9fi76+8YPLQ1LkHUL4Fh98lFqf0Mcs83sg7VSiCrTPbw k0EGXUZLKtNvSUBFvUR9lYTBJT3FTo0pEuAOn9wv953BztiKgJojEkjzLnZw GGdwx9ocZx1vCchwIiu1fzN4jq1SYuMqAdPRxjSUFmHbLc6Uk5slQCxNKthT RGiY3OJSZiaBzQN2z0ymirD66/WHvNUSkOve+0pHToTc3jOKr3UkEL+Ac7qQ +nmh1029JRKw+cov4/xHhAlO+eW5CyWg8cY7LIv6su6awQVaEijeYtmsME2E IbfCSYmGBDIaYKMatbZ5w5wD1NoetaWLqSOHru1dTb0hq2sWl7onse/NN3UJ eN+3r1pDXcWfP11IrSjMDzal1oj+7PiYOn/ePY4ldfFyVlgG9THXXJ41ddi+ jzlHqT3bTbnbqKfUdsiYUj97vSd2D7UN45H8e74EjGqn8fyo66z2mbygttKV lmmjHpG+ZOulJgEdO62fG6eLsCbg7PFZbAm4va2uLaGWNXOJa1SVgNCX/K0i T88vl6p+SUUC7RsXFcbMEKGMIpfZJU/32z1p+O1MEYa2denUT5HAeaVpFYMK tD75OwOFvwjMfWVmMKAowk36cdbhY9RXvphVKYlQGPIt4aKYwOPbEoNOZRHO GHazthsgsP7gTNaDWSL8aJx7W/YDgVXWltMcVOh60b36he0EMp2Omj6mVp3X /UZRQGDJhqARQs15oKOr3UzgMOtIiQxLhJV50luZNwRWyLo/6aTjzjOqUtm1 BBboKV0NpK47Lntx3wsC4/bBUEPXe1hlIUqoJND2h5TcF7of9wKtUM+nBCST zI5/pvvdeXiaxavHBNJHZyTW0/Nc5sTtz39I4MqLKn4SPe/M3SkLOh4QeFqw bQGh9dlyNNGWfZ/Ay6lcrgmt35w7C8tK7hJwN2rUDKL1L+v3ex5XSuDQoeO9 52jeUiw36166Q6DeIT3pBs2n4cQzdnMJgU16/tF3aH5LzFduXkp9ufLO9ZJJ dH6fxdnLtwnsik6yCZQSYVd89h5VauWwct1FEwwuGj6tc7WYgO1UcTDvJ4Pz IysiTKiPx17/GvGDwVjTpl9dRQTmt3/fqjHGoKjm04J4akWW2rSKEQazZzwc Naau37bZsEjM4Nm+rvUdtwgwdg/dUocYfFxxk3uK2qrgG3PgM53f4WKwjNqy qLrf5iOD4tCeFYKbBKZm65fO7WPw7p2RnaeoZx+ot+l9z+DWWz6LV1CPT3oV wXQymMXNvV1bSGB7bkPOPyIG1ffqKbtTGyZXF13hM+jdxUyMFRBwatG9FNLM oJlY3TiZepPUAWfjtww+1/fMXkRdZfQvCmsZTDNMU7hyg8C/l+8rer5g0GiV x3tV6klpqqyOCgZn3PAZT7hOADOzM9Y/ouuZi52kqbt+Fy50o/3vSFmjbuA1 Ag1RxWv3FtF+qqIpJ8onYKN+K8vxOoPTOUYdFtRBs9T9ktIZ/KIWeaE5j8AZ bryWYyztr3/usnTJJZB4Ti40/RCD5z2iLr7JIbD434i686EMntGFcF/qqxAx +UwQg76x+6ImU0/n1LAO+jOYrq9bk51N4HVKgHiXD6130krDNdRVVzA4y51B DHLLT7pMoDzqeGvNTgYL1Krf9WQRyPk63iFyYrAu1fqjIXVRvoV/nCmDG+cc mtDMIDAytLLMawmDVbx28+/pBMZ6fdb4KjK4wXHa5PI0Ar+U1DYkfBdiX39s mmcqAYH9US3tRiFmTHhs255EQEM70n1/tRBZw/wP1okENvqojZ0sF6Jvb8em NQkEakoG9weWCNHkxO4jmmcJlE6VNV2VL0TuydN+svEEBkuMD8ZmCHFsz1qh yhk6f8dSz8pkIfY/l+NoxBHolVv5mB8txB/xs60Wx9L3pT8nZra/EE8o/HCI iSKQv3ZOd/hWIcbaaaY0RhLQj406+JkrxHl6vGDpEwTK7K1HQlhCdEtn71WL IGBq6xmpJyfEz8uGtd4eJXCK0x7x5L8CfCJ1kX30CIGmGPdw1UEB5u6WMdI6 TMA7weW/Ft0ClFOZHlJzkObzi2NsQKsAOdfEnzLDCXySOfw5tFaA603r+AFh BFILLvS6PhXg/s+LlpmE0vfCHrxanC7A0uoJ6ewgAu/bd3BeBAvwt4tTSJc/ gYLLB7mpNgLU1JtSM+FDYNRoY62qpgA95GRsfnkSyL4t1V82zMesgdtT2XsI 1Fn/iJrVw8cezSw35g96PqPlhs4CPrYb5eSkudF+OStYFPaKjxaGwfVbdhOo JBP2hyv42Mxe0DF5F4EkY3PD1Xf4eOW8Vfa9HQR0A+WHGvL4WKqqrP2nK4Gh 1Jk7bNP4GNyXf3jqdgIB9e5fO3z56BB6QLPMkfavwW3p3HV8rLupx7LcQvuf ToWXzUw+1lrd+3THmubN+kCbejcPQ/TsrX5aEmB9NVjnnM3DoBMvPH1NCaik XIg4ncDDa2mfvpSb0LzY50Yl/U0taIiRNSaw/6WFbZgfD4/NLTR0NCJQoqT+ Wn8nD+8bzfuRbkiAPVlZumkTD8MCVesZfXrfId2JZgY8FDiaWYxzaX225zuf 1uJhnq+2ndoqArOyq1xyFHjY+frIR4MVNH9+czOTx1txS7cty245ze9gZOyx gVb8sPVl8d5lNO97rIPXC1pR/Y5SX4gO7T967h5dL1ox3Kr82YklBBTm3ax0 z27FDKunQ+UcArWKPB/7Q604fl97aa8Gra+svUqhQysGze0In1AjoF6Vci1Q pxXZwSs65eYQcJibaTcm34pW3/QytFn0fTuWuRp8bUFB/4Y15sr0/jPMzXVa W/BMnhVuVaD9brVhQmtZCyYrKRu7yhPwl9Ht04tuweGgnDpfWQKtb/ONXzm3 oHfUiLz3JAI3pzTeuK7ZgvGpOyzsfonh7syQrNqhZox50F6o/l0MmzecSj6S 3Ix/+g6Mew+J4WpG5v3O5c3Y9WTC0q9XDB0Ku2ers5pxzDZ0yfv3Ykg7riu7 brwJ5R/FKG7rFsNp/UF5o54m3GeUJlvVIYbsgYkHyvVN+H19MFuvTQxOCuXJ b0rpfMffzheEYgjPy4iZnUnHjVNuAl8Mf51MWGxzugnfD+hK9beIwd+ou2tv APUxFY+zTWJofXRU08OlCZeFe4l0G6hd77IjjZtw+F7s3z6vxRBfum7LSY0m tNX8aJNTJ4akf5Qi3Kc0oabjd5fmGjH86lHlb2hpxMer8+5KVYkhRv7Y3Kjx BswyYk8MPxIDNzjHtYjTgOLoS8a3i8XwP8CIDEw= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{-0.41125000000000034`, 1.175}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {-0.3912500000000003, 1.195}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[1.2] = Graphics[{{}, GraphicsComplex[CompressedData[" 1:eJztnHdUVkfX6JEYFTXWGBUVNdYY7JFYkLHGElssiEo0dsQeEeyKBXvvNViw i9i7jxVRARVQEFCQJr1jV653ree3z13Hm8vyfb+891vr869n/dbMntn7nCl7 z+zzVB0yvudwUxMTk84FTUz+9++c6R/qWSwIMwy+Ps/wu7WXand53EOvPoHC xU0vv3Tr4i1sZzGt1LHT+4SR79/hSdiV1tdEHkYeRh5GPv+RV8E9h/uKPIw8 jDyMfF+zwo5/tgsUeRh5GHkYecuLZR1a2IaIPIw8jDyMfL7xNUbkd3gi8jDy MPIw8kmryh+Ps34m8jDyMPIw8n0cqzS8ezNa5GHkYeRh5A1ta3kd7RYn8jDy MPIw8j9Uqld/XXC8yMPIw8jDyK998ZPnlD+SRB5GHkYeRv79vRZ1f09IEXkY eRh5GPmTvas+qtIsXeRh5GHkYeRHXd1TZu3MDJGHKbeoV7vP19cyVdQ2q7kj xwYbnjrv/Kb+0E2qi6Hrb9nT/YWpD3sstrdu3PziJ/WLFYnO6ReWLu3dcBnR xLdypvRPffSH0V9fTnu0j/6ekQv2tBx2x2Add32Bs2WGmrHScWa/QcsN5aom z/2hz16V41949sNODwwbti3wOOqfoRou2xLSZupjg6XnwT6WEyaotUcCflw2 +KEw9WHah2U+GnlitRed7/90TdjB1zfqZuGTwjyfwj/8dSFt0HmxD0ZfK+fV l2p2OyUcEXb43NmJBpGv/ybx8eJet0Qepv6NKjH9Pe7cEN4SmGE3Lvy2yCfX /ypp+YX7Ig9Tf5xbru3Pqf7Cu7a51TExCRD5a1ElEmz9Hoo8TP2izssPxCwK Enbpvq727ZLBIr9hvcXzyhGhIg9T/1ntrfuObHks3MV0V8011cJFfkxHy9j4 9AiRh6l/Omy/h/Php8KrQvuuObIlUuTd32/LsHONEnmY+r90CHtQOeKZ8JsT A0uuqRatvb/g3RNaFo7V3p+Rqe9VJapHfocY4WHLh69yPhwr8k5eB9Oqrn0u 8jD1zd/E34tPjxP2HzGm+IAm8dr8WnxsXIGKidr8MDL15wemdfObmiDctNWk Fepyosh3HHo2JXFPssjD1E89/MLvmKnGu8pP+6Z6hxSRP25tGHOvbprIw9S3 c3vfZcPSVOFvsuYsK3Q/TeRZj5gvz+qbjmi5JF3mC4w8+zfMfgyzv8LslzD7 H8x+BrM/wew3MPsHzH4As77D+vWa9Y71JqNnh5vxE7T1FRZ9jesF5fr1k/WO 9Yr1jPXUe6EheXaXWBvWS5j3Bce49VvobXdX2qO80tTORRz6aPvLha7FC/xU OlM51tw56rGtj6F6R8em1fp8XF+vul2f0irYpvj8kOOpjkuEQ/sk/THJZ6dw UNhqf9d1Z4RbOR/e//uPl4TX9RoWHZByU/iO+8T7rc75CO8IN4w/Xui+cPN5 v4wYNe6BsNNKv7HTzR8Kl7DqPazRnEfCHduEjW5nGSocEz94yNvVYcIWOfGj vrGJEH7i93ODqN8ihV/3ets4qVaUcId9Nke9QzUeWtf0xD2vGOFjc9rXOzQ0 VtivgFmjk82eC1fo3+XIymSNf44sfmzTtQThBY17WTpNThTeee67BjN/TRZO K9r/kN0HjYusrXR0cFCqcL+4P+q0XJimPK3aLl3d65LBvVnJK5Pvp6u5uQ4/ DHh6yuBjvT3Wdlu66jG9b/GbxR98XG9f1T8SnKG65dT7Pl9AoIzXn9ZNzz+1 Uuxl9l/al/loZJmPRpb5aGSZj0aW+WhkmY9GlvloZJmPRpb5aGSZj0aW+Whk vX9VOePgg0HNMlTawotL/4q+/Ik/sefgq++m7cuQ+Tb30ZxrG2dkqjfJK6c7 5ntkKBb0NKWWXaZmX3LynohnB9XISuNcpwzfY7D4+vbsVZ3S1UCXxmaFRwYY Evf1XxPy5uP8PO1fpG9uqOG75iNMLj7KlPVhZJP1oX7R2nrA/OxW9GLiqOjH hga3lnY09HG3+bboVO8KxTV2rnus/PCXQcJedbNbnrj7UBh7aK9Ud8vV7048 kPKQbgljPCPuC/8Z2WZO2srbwomRPj5Lm94VRl+Y9Zz2D1drNt7C7LqUW1U7 UXPuH1eFU+/+suWHIceFo3x7/jjkxClhxpv4Q8bnu6nE6sN3C57Q3r+7baxZ +BUZn+L/GMtzUoYGuOy7LjyqwJ/Ptubekfri7xjL/+o129/srp9w4dPeqRtW B0h98W+M5Xvsu8Z2famN56cOQcmDdgdLffFnjOXTig+I/s7ssfDJClGJtU+F S33xX4zl3a45PIswfyrc/rlL9pToSKkv/oqxfHXzC+N7b9Dmy9Ersyb9PiZa 6ot/Yix/W/paatPK2npVfsuCzNY5sVJf/BFj+fAUn7GV9mvzbd6kZRNrzorX 1gf8D2P5Pe97yfkaautZSpe16YULJkl98TeM5c3cH42OO6fN1741t4xPW5ki 9cW/MJbvnvok8U6bVPV4ztzu11+PMGy3PpTd8et0zT9t8HTfRZ90lXij24j3 F04YLPInleu8PF3tLeM0+ub2v8T/YL9tUMzl1EbzdHXYrV5E8KwQw+nxK3w9 N2Yq0+6Dny79MVTiIfbvU4mLbk31ylQVV61sMPfVI9m/3Tv5RVbquV7G85ml zZu5mM8R3jal5tvKTf0MtatuN/PYkKEaJWRGFlsYaKg4su+wWuUy1YeGd/pe nHHdsMujxeTSpbV4rH1gQoPE384a2I9h1jOY/RtG3qeyb1S5H1eJPIw8jLy+ XO8f6ONHng/1YerD3rH5nthHnVSBWw6tcymQrezHulc1u39HODFrUOLEjQ+F ax5Laxvh/US44RlDt5pvo4TvrV/4NrzUc+GxTt33r62TJFykV9k+ndukCT/c lDbH5EiGcPVFvYLDzmYJT3I5U/fMjRzhayMqzF9z/6VwSdvZoWPDXwv/0T66 Qaf4t8JHf+qwsHr2e+Hcaoee5ObmCmP/ooL1gxI654j9MPbD2A9jP4z9MPbD 2A9jP4z9MPbD2A9jP4z9MPbD2A9jv43T8dL2K1+I/TD2w9gPYz+M/TD2w9gP Yz+M/TD2w9gPYz+M/TD2w9gPsz7p/Q39eYj4X0cW7ytUbI2aEpPgZDMsS1Xx KuGz1f2aMOX1fht70mt/tupSZlPLC7MfSPmigFobax99LBx1a8CrzmmRwnP2 VvPIVzBW2GJB0m9nLRKELw498WGcVYpw3Z2XHpbaly48Y1VVy9TjmcK+sxfM vX05W9h8fELInjsvhB0Hdq0/59Er4bNdjy0YEPVGuFDLMuFWqe+E+1pObVTq zQdhnqfe/uhL6Vnfp+QI87xZf/Txk3490renX58oZ3zCjE+Y8QkzPmHGJ8z4 hBmfMOMTZnzCjE+Y8QkzPmHGp95e5ifxpD4e5TyN8l/NzGKrls6ScpjxzPPl /Ixyzs9gxjvM/Pg5bNsoL/vDsh/B9DehSnijqq1OCK+Y7DrWotkuA++X+jD7 GfpRDlNO/3pmPqIPTP/E3zDPD3meB+cd2Mt5h/556vtnv0Vef75JOf4J7WG/ vn39fo09vB+9PfrzGfpHPxh/Te+v/FPnEbT39kz6BKvGWVIfZn7DzGeY+Qwz n2HmM8x8hpnPMPMZZj7DzGeY+Qwzn2HmM8x8hpnPMOsj/HfnNQHnw6p6v/Yy wL6t5q4MurnX8LnnBchbW5Uqu9szXTgq4kRQiUJaefqu9bZlsjTe0OXnb+d1 yfzkvKFzT/OgXgdDDJEXBna1/Kj/tOc9G0xv8Eg4wDUqakTqLgXTXpdz53vl rMpSxdYvmRY37b7Un9Xb7UgFU1/hXUdzWmduuCJc6KRftusvZ4R7tu9U/XrN K9J+qnnIaCfzm5/013/Gtoevp2cLm9S0WTvyYbaKGXQyyb/Nfal/8s70lfsu BghXqdSuvfWfIcLpC4skfJscKlw/ZdS9oB6Rwut3da16dfkzYb+7DWcsdYgR buxaxt/FI1Z49MHXtdvMiRd+MOjJtHqXEoTNFl99+GpjsvB4G49asUEpwkEn 2l0N7psu7LbCKrHrC42/372/7ImhmcKPZm5p9YNplvCfa4qOWzE+W7jm2A8b 8hfLEb7iOuHGqOkvhJ3sh6RElH8pXGJikHn7ha+Eb/zq3fZCjdfCA/9oOrHK 2jfCpVrU2bKh4Vthz+7bbr3d8U54SJ0V6RNbvhf+YGNiEXzwg7BX+cxfunbK /eT9lkioXGbMlRzh02uuBjwu/0IY/wLWx0ucL+nPk1gf8UfkfIL7twq+/fz+ j3hTf/4k55XGchh/BWY/159X6eNT/fmUzM/kQKvwHhnq8KSetbavCZL50btK XJ2+T45+8rxMvENPXXmscbrp68YXUzNVq7izBbbv2CryPA/Wp/BCS+fdKBcg 5U/HLNg6yNvHoG9f/E3jfkQ5/ou+vt6/kPrG5y/+hLF+MbfwtjPcTgnv6J1v 4327rYb/6edxeZ2n8DzFH2I/2DA5u9NBbTx16dfXudt6zR/i/bfa+KKXZ8B1 eT8+MXfvm93zEibeof6QC6uqF3t0Tt73CtPHMxvY+ij9+yUeov+942dMqtdY 49ONBuY0ssiReIn264SMvPmsk5+0N9dmxqYF/YOEiaeo3/NAW+uBQY+k/PLb IpmZi8OFibeov2JE4Pq7X0VI+exwvxpe9lHCxGPUj159zGXb5mgpr3RhfcAI pzhh4jXqu06YWr3XsedSfmHz77MrLUsUJp6jfuXurR+Y3U6S8n5TalgG7U4V Jt6j/qW6ZrOuRKZp8+2Q85ibv2dobIwHqV/PzWF9i3da+Z0todfcR2n7BfEi 9WdN9k36rpC2f5gvsSk/Y7K2fxBPUt93WIM2maW1/cRh6q7xfV21/YR4k/oV e6/b5FdZ21/OOhTwbrRc21+IR8V/avsqdf+P2n5TwM6xYrHN2n5DvEr9843s 28//Wdt/bDv4/5mwR9t/iGepX+j7K1sHtdX2o71WjW7f8Mr9ZDwT3zJ+7cNz j7u7aOz417OfPIa80M4zjfNXf54Yd27kVI8Y7b6DeMJiROEbM/NlfHL+qb+v KOdt/qRhx1CZn/rzT9ZLyvXnnfr7EfR3+yHzZPDw9E/OQ/GXiSfwl2H8ZRh/ GcZfhvGXYfxlmP7Yz+kPpj+Y/mD6g+kPpj+Y+IT7NOITmPgEJj6BiU9g4hOY +AQmPoGJT2D04T4PfWD0gdEHRh8YfWD0gdEHRh8YfbhPRB8YfWD0gdEHRh8Y fWD0gdEHRh/uM9EHRh8YfWD0gdEHRh8YfWD65/6U/mH6h+kfpn+Y/mH6h+kf pn/ua+kfpn+Y/mH6h+kfpn+Y/rgPpj+Y/mD6g+kPpj+Y9rlfpn2Y9mHah2kf pj3up2kPpj2Y9mDkuc9GHkYepj733dSHKef+m/2Z+3z8Zxh/S1/OfSz+EuX4 QzD+juQHGv0ZGH8Fxh+B8Tdg5p/kHxj1Rx/04/4X5n4X5v6W9vXl3NfC3Mei n76c+1fsoT7jF5bnZ7x/5Xkgz3iEqc/9K88TecYbLO/PeP/K+0Ce8QVTn/tX eZ9GecYXTH3uXxkfyDPeYMabfvzo9zfKpT8joy+MvTDPC+Z5w6xX+vFC/+jD /gKzvsOst4wXmHLWQ5j1CmZ9YXzAlEs+s3E8wJSzHvD+YcqZ/7xvmHLmP+8X ppz1wHtGpfce1RMV+ZG1d/TpkVY0TpHvuMSwfHfTnGeK/MXgq0tTvroQpshH 3Jr/3doNSwMV+YWXV4Q49TzrrcgX3L9uke3L+pmKfDbn5ef23ikXr8ivDPHM eF06X4wiX3Kye68t5wMiFPmPzaKvt+q6O1iRz/jmVwd/w3N/RX5i6d9iCkQM P6DIN2T8Sf6h8f3TP/EG8T/+Hkx71P9q92qrOyUvCWMfjD4wzwNGf5jnB2Mv zPOGeT4w70f/PGHeJ/ztGNderg2ShYcNiD1gb50q3M+juknF6unC+bbbHjKr k/HJ88JfJf7iecGUE29RDlNOfEU5TDnxFOUw5cRPlMOUM1/ZD9g/YMYj+dGs 7+wPrB8wz4d8ZsYX6x3jg/EOM79YLylHP9Ybnjf51ujD+sL7Ih8aefY/7IOx j3xx1h/2L9ZLmPFBfjXvm3jo1bzkwwEtshX3bW1POpm3UFmfxC+cN7G+w6zv MOs7zPoOs77D6AvzfmDsh5nPcJ8yRWz2p2rrP/Ec5cRzMPEcTDwHE8/BxHN6 feoFnXn59LyvCm6Xdqzp7fRP/Pmr3V+65HMNUbWdLQruPqjtD1b56no0aR4n +8GigvZjXIZGyfrfxtPk6Y3O4bLef2i7pMnrfIGyvpcYkHvVrVOWahhqO9rs pLuhyJQ+70v1SlRt79v9Oe5MpDrn5nor6q+PfujVe7+vnxWtoqd2Hb3EM0ot nv6+ecvKccq55oyFs0o8Uct9c4uY/xWvzOvbneg+Mkh9W6VGu86mSWrHHcd3 O8K81UgTy+Zbu6So+A7bdiTXy1LOdqazfrvq9G/nA28Kf+DqeiJTufdzPdei v5b/93f5waHbZ7fZ0DJTVf15i8X3xbTyfzVfODbqccEC7TPEPxyzp0r4zmHp 6l2ZcpMu1dbq/6v5xNYrilvULpWq9PmBf5dfzPgvMOPs9w0KRqqBa8olN7PW /Muw1rGLis6NV2PVLLceVfLOR2Z+WVfKCku0jFY3poxJdsnV/M/ST8uU/8Mz Rp1ObBduF6jJ/13+MvP3WonqE4JTY5VT6yKVowbEiH+61c6m1oGdkWpxzcGt vxmad74z64NVgVVqrGO8ckzOnjfl43PDf51wJs3ewztEdav/OvDrIE3+7/Kj WX+W1fVa7HgsUfW+uq/jBEOw+Lf+XmOeFo2/p36YMKDg4Dp551Ozvp1t18Aq zj9ZnWzV9cxWC1/ZD6ocbVyw27rD4i/jf3Ael1f+dMGTDV8kO2aKf4r8yoch i0ZN0ObD3+VXsz8cabj5Wc+UvPOth/j132p9Mln8V/afOiUndHg1PfyTfGz2 k9pxGx1GH/g0Pxt/dtjxgmfzb9LGj96fraduxSc11saD3p/tnHAp7q+12vvV +7PLJn8368qNT/O7N00M+DD34dVP9t+x7RdfOX8/RR1vYfv96mJZKmNE36IX Ou1WM3ocKdv1faaKc5k5xef0QbVpx80I59IZyq1M79elfR4oh6+2tu6YmK7G vTzWMXN7gLr8g93YNRdSVNO2+6YWnh+m/hh8cfubxTdV1SrzO2VPTlHuP5ms GVtGe99e2SUquHbWuNvUM4VSjmWo9G5q/NmZvurZgf11m3RPUw4bpy5pMSJE 3atz8YJnyWS1bH7aiY5uT9X8i7UOtxiXpF5Mnh9lvj1CVals2vS67QV14FjN 151GpSq75Dbe43pkSfvZFku8YwsfV/PCQ4Jn5mj+8O/NWttG3klV6zxcDftK nxP/eFfpNf4P6meJv9d01aJyIytlSfxUwUHVyuql+ccnq1W98aZLlnp8u+Ti 3aZ7DM2utx7e44QWj5uXGFmg1UfektHysflQLT73DDBcrno5TeWPzCx2sH+W KtCsgevswycNj8o8nzzTLkt9e80wrVvCMQP12U/13x983TN9Y9kzh8Xeqj1C Ju/9du8n84t8fN4/7S3ZVSS17qgLWv3dZWePOH9Z+M2KCpvdl90SnrtifY/8 MTfVv5qfznil/8u/1jg4sbS/tGfV5VDmNxfvCZ+dX2nvpZxA4VnzQ13HV9WY +UF7FYfuqlezWbCU2w6N7en0TYg2Hlofya1TI1z4fGvHsPAeYcLMR8nHqdJo 0VqHCCnvtKr5owkWkcKbZ++w7FInSnh67gzzGleeCTP/ae92auQEE99oKX8+ znReLasY4Z8Hjnhs2iZOuPzTdrfCgmOFWW9ob6Tf/kpnop9L+YKud+o/7Rov /NC6ntu5fonCZy4WdVqTliDM+kZ7Xx+ecGfs2yQpr2a5Jnzd8GThSRVeNJow MVW4z9agKp0Kasx6S3s9229rscYsXcr/+PrIDQ8bjQu9fzp+bbsMbbxZ+8fN Lq4x/jftpVcbFt+xaraUm8Q4TbS31Xh/2N6Kne1zhDdV2LDWqpbGPkFNes+M yVTjGu3znFLruNyf0b5NaR+b6nVfaOtTYMitn4do/OJO4Uk1HF4KxxV+k1Cy scbEd7S3wtRyfW7TV1K+45q1RelxGv9yftxtE6fX2vh/83urFBuNiQdpLzxj ZVJouzdSnnzM3Sl1qsbrDgRUDp/9Vnh+wtUNPp01Jn6kPctnWa1P93gn5dY7 89+9vUDjmE1WzmeWvhcOCqmRsttWY+JN2ptxv++m1fYfpHzJKoeqHqs1brRo i++ajbnC1X0Wt509ROPP/X7lwhyv5ybfZUo8m9rfO2Tnx/3FEOYWtOCXGyok ODTwz7MZ6vqkgRFbLX3VrEW3XHq8yVAdYkde2hzg849//3J07tqLUa3SJX4+ 1mn1quVOaSp99763r8qGqMgjXmG3CqaroNZlM7fcffTle5n/8PcyU7wdDzkO 3qkGOa0NWD8nTZ1vd7lJKXvtfvWds13NkBPafddud8s9z2y1+583Fb4pWqbD NbX4e4+lc8K08466oU1rP+yWqkx3j6/nPyxDEX99O+ZcxeeX0lWdnvZBJjMD 1Zlc1w2TF32Mf17626W/eqyir0zasXVMgmpf5FBqtbHPVFmv5OVFD8SqBc9q dKxVJ0Y1Pul9ZNdHP3Nr1tO15a7FqcikwTeqpIaqkg2GnenfPEHVcyrk8Kp+ gPrGNH/NohuTVFi+zo09f0pSNtMG+Y15H6HeDg66GbXmuXq2tE2l3fejVN0n I2MsvKLVcz+n/T2nxapWTdaePWsZoWKrWZ/KzBevGqV377948yP18LFzYObo ROXuZqhvP/2jP57r/Nyx3lU1cfno6j0SklVkxeNtZhbS7qd4fsQHMPEHTHwD Ez/BxGcw8R/M+QHMeQOMPpzPoA+MPjD6wOgDow+MPjD6wOgDcx6jP3+BOX+B OX+BOX+BOX+BOX+B6Y/4if5g+oPpD6Y/mP5g+oPpj/lCfzD9wfQH0x9MfzD9 6e+jiffoH6Z/mP5h+ofpH6Z/mP5h+mc9oH+Y/mH6h+kfpn+Y/mH6199HE6+i D4w+MPrA6AOjD4w+MPrA6KO/ryY+Rj8Y/WD0g9EPRj8Y/WD0g9EPRj/9fTfx OfrC6AujL4y+MPrC6AujL4y+MPrC6Ku/T+e8AP1h9IfRH0Z/GP1h9IfRH0Z/ GP1h9IfRX3+fz3kG9sDYA2MPjD0w9sDYA2MPjD0w9sDYA2MPjD36fAPOX7AP xj4Y+2Dsg7EPxj4Y+2Dsg7EPxj4Y+2Dsg7FPny/BeRH2wtgLYy+MvTD2wtgL Yy+MvTD2wtgLYy+MvTD2wtgr971G/4Dvn7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2HsJ98e+2Hsh7Ffvq8y2g9jP4z9MPbD2A9jP4z9MPbD 2A9jP4z9MPbD2M/3A9gPYz+M/fL9u9F+GPth7IexH8Z+GPth7IexH8Z+GPth 7IexHyZfnu8l+D4A5vsNmO/JYOT5vgJ5GHkYeRh5vh9BHkZe//0qzPmofL9g vB+AOT/ivJTzHpjzGpjzFpjzEpjzDpjnqc+vkfMLI3O+wPuGOS/T52MR/zNe YM7riPc5DySe57yReJ3zTOJxyU8zxtucx8p9jfF8mHiZ+QHzvMmXhvnegXxn vk/h+w75vtr4vmG+f4B5v/rvcYnnYOIpni/lsD7e4v0wn2DmE8x8gplPMPNJ /77191PEJ7xP/HXeH/4yz5v9CPtYn2HWK5j5y3zheTFf4B7LzueLbZKl+L8/ 8iv4/zryKch3IN+H/ycjf4J8DPI/yL8gX4L/l+P8g/sU2tN/b7vXcCf/gFOa fty3UK7XX58/R3uU870z8537CN4/TH3yQWDyOXgfrB+wfC9tnC/yvbSRKWd+ UQ5TznyU77GNTDnzl3KYcuY75TDljC/KYX0+EOUw5eS38D7cp1vYXWmdI8zz 4v8Yf5nU4yvPDi+kPNVxrufWri+FNww52W9xr1fCNv3j8rv0ey0c81s5r2GD 3ggv69R5QM/hb4V/aj2jQKvR74TDm3oeqzvxvfC8BpH2FVw+CP9Yu1Qhs5m5 woxf/u+R8cv/L/J+Wb9g5hfjmfFGvpv++3y+r2L9ku+tjOPZxHlZ9XV9NR5g 2a2d32vt/ynoH6Z/8unoj3w6mPGFPIw8+XbUJ99Ovoc3jj9Zv42MPPl41Ccf D2Z8Ig8jT74e9cnXgxm/yMPIk89HffL5YMY38jDyrE/UZ72DGf/Iw8gzXqjP +inrmXG9l+/9jIw840+/XsGsV8jDyDMfqc98hPFnkIeRZ35Sn/kJ4/8gDyPP /KU+8xfGX0IeRp75TX3mN4x/hTyMPPOf+sx/GH8MeRh51gfqsz7o5y/fkzF/ 5fsy/j81qviwAts0LrH5wTxlo31fhj/K+8Uf4f3jD0h+qe7/N+V7ZSPjHzOe 8A/xH2HGI/mYjH/8QeIPmPlDvjHzDX+R+AVmvpKPzPzGnyT+gVkfyFeW7x+M /qbksxuZ9Yh8ZtYv/FHiL5j1j3xn7OV8j/lO/jb2cZ7GekI+N/ZwXsV6RX43 +nP+w3pIvjf6cn7Cekv+N+s5/jOMv4e+vA/043mjD8+T/nle9MfzYP3g/J/1 g/2a50f+LeOL82zGK+MJ+9Cf9wHTHv4e9bEP/SjX/x/Kl/zZ/975s7yPmq0r Ffe9kyrxBt/rfvm/mf/3/838p/OP8/o/G31+sj6/WJ8/nFf+rz5/93Pzcz83 //Zz82s/N3/2c/NjPzv/9d/8f6C8/u8nr/8Lyuv/gDif+fL/QF/+H+if+H8g 9n/2e31+qz4/PK/8b31+d1752/p8bX1+tj4fW59/rc+33hbyrqDJ/yW/ek/L IwXv3dfyj/TneeT/6v/v6HP/z+ifzt/W50fllW/8n873zuv/l/T54Hn9H1Ne /6+UV354Xv+/9G/nj3/m/zXllV/+X50P/iW/+0t+95f87i/53X+X3/3v5mv/ q/nU+v8X5P+V9P/v97n/38Z9J/Ge/v+g9P8X+Ln/9/fl/+G+/D/cl/+H++f+ H+5z8/3/f+fz679n/K/O75f/bz004Pz8nEmGvPL99d8/IB85u8fLUUXT1f8C vx+qxQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvlvlGUQx2d77XZLu4XWUlqwx4ItLdhqa6UKtAriWbRVxKooRUErtijY YkHAW1BR5AdNvO/7Nupf4H3EIx6JRzQajUaj0Wg0GvU7mc/G/vDJ++y8M/PM MzPPvNuwZsPAaJ6Z/SryxZFisVggdolNolkcLXpEt0iLQlEkSngmIQ8/y0Wf KBDHiV5xKLoJ9AZEv0iJClEmMpDG98lihZgipotpk3SL0TtVDIpyUSWmoueU otsh9hdtYouYEO2iFhv3vUYMiWqxr5ghasR5YljUi/1Eg2iEWehmedZBDb7P EKtEpWjCJkssc0ULzMF3K88mfOxDfKNiRMzmDC3oHijm42+juJB6rRNrxUyx B70uZHXEdgh1TlDzbupSSF6LJ9U4zbsksj7WXuseapuPryJ89GObpAYV1CRN jcuobQa9adShir3LqN8gthlqW0VeSrGZSg78jAeIw8RCal7FWWuobS17zKBe s6htlrw0kP85vGtElqtxI77qkK3CXwXvmrCfS03m46sFWa7GLZyhhlhGsM3y rg37Mdat1LYVvU3Uuxm9Ds7vtT6IPORTlwLy0YXOEnE4st3ierHI4q6dYnGP vNbd+OhA122PEcssesd9HIHfXrGUvS4XKy3urPvowc9CbLqIqxf97dSsg+cS dG8iLj+P9633dL1Fjy0gRn8uZu1zxHsuyZ7Hss8KzlbOfn3Ek2Ttdj6vTmDd x+8U51w2aZ+jOFMGv+7zRItZltt/gLP78yTWK4nB15dhk+K3+ymBfmTjFrWf xx6D7Omz6HyLOeAyn30+W05j7brekz53fI6dyboS/J336nTWrnMF9uX4OB3d K7H39VkW87EahvBRy3omrLX/595qdK/CvhofZ6M7xG9fXyPWU986/Pj6anEO Ol7/c5E7w+h6Lvz+ZGEY2XryVc+ZBznLMPLZ+F6H/yb8+J3K3TfP/06xAX2f wxegM8LvZt6PouPfFu/lNnxsxE8zv32fS8XxFv3o7y9Cx2XLkS9Fz9c7xDbR Ka4TWy2+XwW6DM/z3vvXeyuF7nbi8Hh3sb/3o99P77HPxWcW3+cJbFz/YvZw //6tvIR97xPfW/RHifadIm60eN5qsU5r/aqeN4gXxJsWM+I38Sg1+Us8aTHD /hCPk7+EbJ/lbP+Ip8VmcZf4mti3EWsnObuWvPkM81l2MLLNyO8R31rMNcd7 vZyzTVCjcc7cjt04tv5uDPkY8pzdFmJYbdHf3tt+L3fSAz67fBbnZq6vfSYv IlafaX4PvL+997yv/Q7Uk7vd6Hqu/R5W4nMv8r38dv+3idct+uUO8SW9sAcd 3+tlkUnEfN1K/O3IXrKQvyXeJoffiXst5sI74l2LOfiNuNtinr0hbiEPD4gf ycf74j2L/5JPiD8tevAZ8S+5fk7kJaK3HhI/k49HLP6Lej4eE7+T16fE39T8 ZlGaiG/JL+Jhi3v8oniN/Pwg7reYX5+ITy2+B0nZFSciv/Ooq9/1VCLO72f/ QtxucRd/Eg9azC+Pt4iYPxYfWfwv/kB8aPFt+ErcaTHfCxORo07ifcUi5v8A EtbZUw== "]], Polygon[CompressedData[" 1:eJwt1PdvzlEUx/HztUfif/A/CBpBqdorJQiClCBIKwhidmsrSOy99957byKx 9957z9rvk/P54ZXbpr3Pveeez3lqZmZnZJUzszaogPm4j7Zoh4V4hAx0wGI8 RSd0xi3cQ2vUww6UT8zGso7HXOxGKqbgCm6gBVKwHSfRCONwGpXZP4l1Mvbi sc7OxXp8RxaysRl/MBwjcBczdJ7faZbXlcRdamE1PqIv+mE5XqMHeuI8LqMZ 6mIrjP2jWEbjOqajoWpYihfoim5YiXfIRG/swQO9ZQ5mowafN5W1Nvbhmd4y DxvxE0MwFJcwDQ10p7X4ggEYiAN4o7sX4CDe6+xCHMIn1VqEw/iqvRMwBzPR GGk4gh9622Kc0P+kqUcX9Ub+Nk1xExf0c0v1eh6aqAfnVLPXmo5j+KteleK4 P28SbzsRR/FLtZeo9qtorje4Y5E5z1or9eK2fvaeeHYXoL1Fhj27i9DRIsPe 6xXopZ5fs8hkis7wbC9BF4uMe2+Xobt6fAo7VYu/2X68tOh9vkXvV6GPRQb+ qUavbSQeWmQ6V3d8pR4W6AzP2jaWMRaZ82xv0V7P+HOdma87nrXIWI7e/IlF pvJUs8+iz5jPls9kJX6vmMQs+BmepXUYZJEpn60NGGwxY57FTRhmkclvFhkp 1p4y9axEe36rx6XaU5WzqqCOxUx/sMhkkd7IZ2EXa32LmXhrkeFC9eizRWY9 q/0tZrt6Et8lqRazvEZ/85k+g2pJfHf4Z/4Hy2GrIg== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJw1V3dw1kUUzDtm7AUCCCEghBJqSCAhBEJN6ARIAkiAIIooSAnSBBUBxUgR NSpFGeuMvffee++99z6jY2+j7s7u98fOvbvf3Sv7ypfkzVtW25CysrI6RVZW M6xdsfkJ8gKgCOgY+lYIHOp9I5ANHAJsAloArYHBQE+gF9DP7/KArcAWIAfY CGwAWgK7gV3AZKAM6A70APr7XWfgWGCa7S4EptqPYn/vApR47QoM8NoNGGR9 9GkgkG8bpf7OfV+gg3XWWi4Ayh1Hb2C8/aO+sX5PfSPNEWMdYY64H2693K8B pgDtgArfZXzjrKPMHJCfXOAYoMZ+bDDH2ea5FdAcGGYfaWOe5aHAImC6ea9y DEOACfad+Znotdx+TbZvjc4hcznK/JbY3wrHWug4Gd8qYK45agBmmvelQJ3z sQSY4TzlO15ytxo4wtwuB+qdl2XALOfmOGC233VwrAX+Vuo8t0Wt3o11Uqg+ iuxjJ/vNfZ757mc/ir3P1EqJc19oG5l64r2VwOGh+lkBzAnV02LgMOsuNl+V 9m+Yc9Hb3GfqqNy893AuymxntN8XmeMR9mO4ddHHMb63B7gAaAJOcu5yzSvr aax9HWwb3W1noGOudC55Nt5vMjWRqZEJ/lZqfWPse5XvVVpXsb8N8N3Rjof7 dcD6UF0dH+qrAvM81bmqDtV6B++nOW/dXAP53k83z3nmPNPzdc4h7812rORm fmjO9HTuehlznROCtdfH65GWjwr10lDrqneuTgCOdizcz7Fu+jHDvjC+BY6F Ps10HPR9sX2nj8utm3EssQ7G0eB31LfUOic7x+2sb5l1kqdF5oY+rrBfnBkL zfFO4ESgveNe7bgZxxrrnOfcFNjOOp+Ts1XmjFyuNZ+Me6VjX29eeP9kv881 /6xR9iPnO+cXZ1eTv+X4bHNornHmnB6aO/xdOBVoA5zifUbHRp9TD+dk29Cc 4kxs7ndn+85ZwHbHzvVM+7bdb9s7TzXmaoi5YQ3sAM4zT9R9Wmjm8t1Wvz0X 2OZYtvk8x3e22xbPzvB91jJnWb71bXK82Y6/hbncYbtrbSOjs8ky62GX9c83 n5NsZ6dtnWP+m3x3t7m6E9g7iaf7gN9tZwbOfrTdPX4/yWuT3252Dto4V43O 3QF4u09STA/QfpIvLbAemHSXPVFtvtvgrGWSviuBXkm/7VvsK20lnD3iN30g vxzqoULIr4b6pgzy26GemAL5tlAP94f8eqiHekJ+MTxTID/tfP8NNEvqjVFY Pw7V9UjIH4b6aRjk90P9Wg75XecwH/Lzofn1EO0n1coTrKOkOnsM+DfUS4Gz f0K2bgJGJ/XqR7ZNu+/ZHm1dDwxJ6vMbgOFJdfMFc5I0qy4m90m5uJU1kdTb twATk3+TsV4W+m3vAvmZ0HzaC/Idod66GRiX1M+fAROS5sQnwNikGfCBeam3 /S9DPvD7p6E7FwHNk+rhEuB253Egzq4LzbUcyJe6Zr8lf0m9+idweeg3oB/O rgnNxBLI14bmYGfIV4TmWo+kumHNXAjsn9RHfbFeHZqzvSFfFZqPg5M4JZ8j IN8Ymr+PAllJNfYH8HCo/2pw9nNoJv5qrsnzLJz/Epqb1ZC/Cs3OAZDfDM1v xv2dYyeXn4f4rErKE3NUmVQHrIH/gMdDs5O5+s35ugf4PtTr45PyypyOScoZ 8zU0qT5YG4ypIimuqeaGv6WvhHqG/fJUqAdY/+zLg92b07HeFep31nKd65k5 yUvKC3ktSuL2tVCPsb++NhfkYRrtJM0M5rA4KY8/hOYLZwtrYVBSPeRivT80 O1sl1RDrh7NkP8+Tg5JyzPy+E+pD9mBHrE+GZjx9599/9H9frNlJs/qt0Izg fHjDeWKOOHtae/7w/5u/QvOJ9dU9qcZeCs0dzhzWUUFSLbEuuiXVBmuzNKk+ vwFqk/52eDbUb+y150Lzgjl5MNSTzO8LodnEuTSHfQacH1rvDcn/A7bCNfI= "]], Polygon[CompressedData[" 1:eJwtlOdvj2EUht/3UcQIGrSokQohhBBCCCGEEPTHj9ZetVdrbw0ixA4qJD4Q /gZSe++9956xJfa+7pzz4co597Pe5znjzczNT+aFKIoSkAJlEGVhSRxFlaE4 /i7sYlgIp6EOY2OwSaiAnwpL8dOgPH65YHs1loX/HDsMZkBpdCmoFNs3jsEf mAcL4BP8grmwES5BY9ZPwGZDCv537BwogO3wz/dmwGH4AaOhp96gbwW72zK4 AS3Redh+8F770Cuw6zWG/wE7CjZAMXQIdpbudA2aoydh+8Jv2AHVfT5iLg7m a88pqI0ei+0Fb6APeh22ir/9KMz3GLyDvTAbRsIVaMr6idgc+OsxKPA9W6AE ehG2IrzUd9AzsblQBFWDndUDauAfx66GVXABGjI2XveCgfgH/e2F8BEGMDbL Y3LI1xR6Durhn8X2ju2NmeiT/lbloAH6vJ89zmNVi7E1HrMc/Oxgd1NMnkBX 9HTsEK0JVhOqhZXwDLoHq6Wh8AIS6OFeY/egPXqK7gkPoCN6KnaQwN/qsd8E d6AtY5P1TnjrazSXBSc8ZoqV7rwNBqM3e34eQWf0NI0rDvhfsOmwFnbG1kPq HeWoJP5rn1NPNUFf9tyqxvdBNcaWx1aTSfxXnssRUBd9JrbeU45/whGvNfVk GvPpwWpdd/gKu/0tCT97v8dS36gZrIcyvCb2eA3qbXrjLWjNmnxsf/gMB/ws 1cS32HpIvaOa7cbap54b5bAL+rHnUjFqhr4aW++oplugr8fWi+qpTuiHHkvl rAP6vudOOW2Fvul3UQ+3Qd/23OmO7dB3PffKaSP0xdj+Harxc1A/WC2qZv8D PPCV2Q== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGfUVtURhT/uXLD3RhckgtioIsnKSrOlF/MrPdIMRkGiIEgR5EOkfAQp ohQVkKYgQtRIJygdBFFjRMGoKBIVCWjsJvvJ7HfBj73Oueeee8rMnj3zvk07 9by6R1FVVfV0raqqUPuIHp4TFgg9hX5CX+FG4VY/9xL6+3m18LjQR/iTMMDv bhYGCQOFRlr4OrWdhW3Cw8JC4VH35wuL3LJvU82/Xm1X4Vlhu/CQcJPXY483 hFVCb+Eizb9YWKv+IWGHsFhorbFWwj3qvyas8Bo9fKdbhH8Ky3323cJS3/Vl 4a+e+7qw0nfaJSyxbV4Vltkeb2mfvcLpkTacK8wTztbzH9V2EcYJU4TJwmhh ojBBqBHu9vMoj40XxgiT/I7nqf4ezBRmCB20/iXCBvXvFaYLD3iPGX5m3fuE acLz9i9nbB65/p9tiyHCYKGBxrur7SS8KPzd/tlhv2HbeprzB7XXCHd5P/av o/HawrXqt1T7gue3ieRDb/t4jm30lyO4sFN4yWPw5H3zY5++fVs4Q3hHeFc4 U3hSWBm55wqhQ1lV9Xv8pv6sSF4uUztW+Jv6Y31n7gsvmpsb56ltEfn+FbW7 hJN9j7q+y9ueV1mjhb/9UO1HQn1hDfsIR/ne3P+xIrkJR+/EhmqfE44XNul5 ln1zoZ7Pj7z/43wnhPBrYbXwhG3DmtizmdqveM1fRt6Z+y5W+1Wf+VdqV/lb OAw34fHlaj8Q9qj/O7VLbR98/an9/arGdgunCK8JrwunCoXwYZH3gkufmE/c 95B9vUdz3hBOE7bqeX+R8btFeE+Y7W8OmldoyOdFnn+/vnlPOEt4X/i3fbAT 2wgnCQeEy3zH/6i9wlzEnu/aptzhA3PpU73/XGiIwIkjV1mP/qu2lp4bR+rM x0VqTftInxB3n6l/peNhM/t5n2eEj4q8XzP7d3iRsUucEasji4zbcebeHUXO meyYGed54/0dvBzmeSMdi8QkOlDtd+jG7cJQfz/Cc6f4mbWe9jh71HhutfcY 5TVm+Zzck1hEM6b7eaLvjq60t0asLzK+mTfT+3H2jR6b7fUm+PvNttP9RcY5 a6NH89zONCdoHzSmeo3p3gs7rfM9eJ5kW2AntPfESP1Fw4lXdLyj9QAdQM+J s6Uev9QxjYYfG6njdT0Gf9Cfz4qMM3j0he1E7oD75A/ywtGRuaGFNQTfwvEv facDcKtIjR1v/4yyXUYXh/W+xveZ5n2wAXFQOpbXFKnL8ICYI/b+UWTckKyJ HTheK5Ln4fh8zD6ZY7/MsC2n+BxDzKGnvPYI2/5B+2OwzzzC80b7u/leb445 VeN3xMJW34HcTC4lz1IrkCcrtQNtpXbo5XkDPbdSL9CSI6ptG/YgHsba73w7 zO8H+B3Paz1nuPeq9hmH+bsxPs9Q32mg595he4zynZs5jgf5/sQU/Ovr74a4 38N3axuZ2/r4fV/vc4x5Bk+oZ7qpvaFIXUPvqF3QR3QZXlEnUO9Q9/xfc4vk 8wmRXIfDW2x/ciI5Bi6i7cdFch0+o4/EA3EBN1s5fuE4uRqek7vJ7d1tn/5H 2HLAEbYZaDtU26b9bb9+fsYWt/jO5CJsd1uR9QO1HhrbLtJG5BfqQOog6qEn bUO+J69Tz5GbXlD/+ch7vwjfI+N8u7At8q5oNLGFlqDHxOom33+3eUae2Wh7 4YNd9tdcf0sNQg5a5D65t6XzL7mDeKImWeg+ea1Sp1bq1sp79Hav+YI/Xvbd 7tZ6CyM18BzlmYnq/wtfqz9B/X3qn6v+Peq/gw3V7xF57ovVv4/8p/53iesy 7Uas7/SZztPY5Mi7XqD+1MiaCa7AGWLsJI2P0fibRcbtAt+jh+2CTdD5Dj5n beskXKHtaC3d4HlwqY7HaztPtve3r/j+rP19jR1fJudPpC6L1LM37Xv8/qjG ekXmiuVq77S+sd4lXhNdQVPRJnIQ9iMXVHLJXPt4vn0y3WPcdZLXQmvhX1vH KZxuY64y1s79Sk5i3T6e09ttW8/B7i+ZD2fqXndp/C3166k/LpIH56vfN7KG Hal2hH12pcZvi6yb8NMWn5k9t3tfao2PXW+00PybIudRa+wvDuvsVtvkCs25 1fXL5er3jtRjctcznktdc8B7YFNiBb9Rux10HJCvOBexsUlr1ET6k7xDbUdO gYvbzPmH9X5+ZL4i7z3re1CLHXQ+pQ79eWSdRr222P3ZkTUo9Wc7nXm4/T4K v5fZpw4ltxGLl2nsRvPkEbU/iqy9K3yCSws09oPIepjcucc+JC9Qu5Mb0Fn0 lhwzV3N/GPmuUkOQj9porwcia1nyI74lH6JNaBR8+IXePxRZK6DRaDU57CJ9 OzDyd1Jr9W+PtN1V6ldH1tfUnl9EamN7jc+ItPH31B5Vpv4v8r3Rl5ka/5rG L4is05dZS6u8HnPnEZeRMUps4TdisJXHiION6v8m8v0exwP2If6wL7bFHl8v 0yZXq/+dMn3QP5Jn+JgYQOcHef3W3oN8Us+60SeSi/BvcCTv4dawSFtwbnJE Q/Mcny83B36s9htlavpP1f9WmdwldzS23bqoPaNM/5wTmV/RmdM0dmmZHPiJ xr5ZZsycovb0MnNU7TL1FC39mdpvlxkD8P0pcx4damcedvHe5DN+49XzmWnr m+doef0y9fy3kbbGzvwmaGZOlnpfR2gSySN+v1IDcHbugN83qF0fWTuQj/A5 cQfP+H2I7qxVuy6yBt1KrEfWsi39DfPJJ83KzCnkhJZl6g355MIy4xjdOrlM fmOzBT4nGnZWmTpG3tgcGWMdy4w94q6z/YfPyWlNytRl4qZVmbFzqtpOej43 kuNty+Q5+ap5mTkL/zewT3dYX9CWayJzBvFNXdTE/uI+5ABqW/bjtwG5YLTe PxFZN38Z+XuPtQ9F/oasay5Pj+TzCeofU6bd4dq9kXyDL1MiOQPvpkVyL8r8 rdjY8THeuvFJ5O9/eLAk8v8IcuO1wpxI7YGnnSO5yu94fpOTI2+IjFtiBw7e H8nDpuT5yHvutQaNMJdYj7qsruZ0jaw74BwtNWpjjXePtAt+XWPtOrpM/jUx 51Y79jfaptjz5sh8Q67pF5nD0PoGahuV+VsHXxJDaEC3yHOw97Fl6hccZo+z 4/D/d/SJIex9nG2OHRvZp4MidXOH/bnPdxkaqaHoJ/UcNQ31DPq7yuendlni 99dH2m6956Hp6Pl1kXZZ52f0uvJ7Y6XX6+Y47Op3K/y+Z2RNhp0alhkD8J88 Ci/Ilf8Du+zvbQ== "]], Polygon[CompressedData[" 1:eJwtlXnQjmUUxt/vPnfRhwgtJErRV75RqTGDFvzFmDatmhZU1tC0WSIt2jCj mWZK0zSmaZ1qppqkqKhsiYgWCi3KHtmzJP0u1/3Hb851nud53+e573POdZ/R f0Tv4alSqYyGDBOiUrkRDnJxJfyF3gJz0CcRz+Ohh4gryHfDEvS3UA9mks8j fgXHwUfk5/D8fegl6L+hEXk/8i/RG6At+QjyRehtcDL5HeRz0RvhTPK7yBei t8Ic/RbqwAzy54k9eaaj3kveHD0APQ+9GU4nH0K+AL0FLkdfwrXziVPJXyV2 Ij+XWAvL4QdoALO4P4h4KvfPJtZAL+hC3p74FPdXE3+FE+BT8v7S3D+L2Aa2 QXf4XGsj/gZ/QhP4jGs/En+GhvAJ+TPEHvz+QuIX5LXo0ehl6J0wF31zWfsa WIy+FT5Gr4cX0PfAYdUuuXbbw+9WDTvwf49pjei9cC36ivCz+2Ak+kHtA/o/ mI7+ABIEjIWH4XvuHUl+1wOwNPmdP6Ev1TqT1/QHdIV1yWveBN10nfxE/Y/q oT1M3vNH4PFw71W0B9AZVifX/Be4DH5P3vOFqgesTe656+BKrZn8H3gCPVF7 jK4ivgFv6jvI58MN6KthF/oATEE3zq7dePLriVfBDvT+5NnoDXuSZ2R8+D/0 W+2Jav02/Jtc83fR78Fi9DR4Df26egD9IdwdroH2Xs/cX9agb9eePo3uA4eS 1zAm/E36FtVoPXpzeC9nk+8h3lZ6R+94MVxT1VJ7cg16JhwLA8lnqw+hb/K1 GXBT+Nsy8R2YHNZa08vhPa0qe/C+ni29MT25VybBquSeuRhWQH3VTu9gb4+B oZpNrn0XnjnNmp5ZFZ4JzcLxpbbfQHWp8dKw58hrqkvvrAw/qx7aRdwNp8Ag zYxqV9aqaxvDe6a9alp6cWvY29STR3tLPVB6bG14xjXbjUpvrwlr9fi68Exr lvWb/eoFaA6D1YOqbfkWXavKNtoh5C21p6ptebYF8bBqFdZ6ZkHYU+Wldcss zA9rzcQtxK/DXiAPGIdun+0V8ugnyS/KnnXVpD66AbTm+jDyR4kXZHu5PGEU ebtsr5bn3Etek+3N8vDB5K2yvVWe+mzYI2vKTNXjXrU8O/kd08IzXSkzNpTY OtuL5enDydtke7vOgDroutm9of/oS2yY7W06M05Dt8j2bnnyW2EPry0z0jm7 J9WL7cLe/kpYy+MTeWTvvXrwpbCnycs04/KqDeHekGfJ6weGvUKer7PmufAs 68y5E5pln1U6c+Td8hB5hzz8dvVW9lmnM01nz7DwWaUzqCl5k+yzRGfGsjIz mhWdqf8Dz0YJRw== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgf41lMbx5/0nPPIfu2dPV6vWaq37E0RlVlGMjKLFCqjJDJCtkRLyqqo JNpDSVIilPbSIkRE3u/nvb/P9Xdd3dd9fufc66z7e5+n/75Xt2hw62aFQqFK 5UJB/wp3p0JhS1FJ9C/ROcVCoaHoErXriV8oukjtuuKNRNerXV20g+juXCic XSoUjlf7MtG5yIqaqH2e+MWia9RuIN5YdKvoOmyI6iMvqia6QlQfn6Kr1D5f /FLR1WpfIH6Z6Ea1jxXtKNpd1Iw+0e1q7ybaVXStvi8XXSFqkKJ9jehmtWuI dhK1FNUS7ZIiFmSvdEzwq0Q3FcM+urdKrqZoZ9HN7sNPc8s2Fd1gfrXoCVEn 0YOiWyyLn66iBzzWyrHjp3Ux7CJ7h/v4vsffjO+RPFdRG8uylneatxC18zi2 Wzo+4mrvPmzdZVnGx8rmGNFeKfqut8699omffTTWQfxRx363qK3n1s62O7mP 7/usR1x7p5DvKOpsWeb0kDl+HiuGfWTutx4xPu4+fD5sWWx3MUd2dIr54vtJ x4SfkaJ3RANFT1sfvXEp5vGcaILa40X7il7RdzfLdnN86DzveRPjC+bE9bL9 PSX6WPqTRPuJergPGy9alj1/yZxz0d0c/YnSeVa8l+gTtaeI9hf1txx++joO /PezXez18TwYe9196AywXo9/+GPsDfcx197F8Iv+ZPnrKf6216yn4xlo3ttz 6ux1GeQ+/L/r+F4TDXUcxP6+48DnMPfxPUY02HpDPB90pimGT0UHiKaK3lLf CNEox4HP9+wHndHuw9aHxZAn/o/+MY/BjpH4xtonNqb5fGB7ouMj3s/k9wPW Q/S52tNFB4rGWY94J3ie6EwphjxxfmJOLJ/ZNjGOtx46093HGky1LPF+aj7S 83vBe/y5ZYl9ZjHiwN5BnDfxr0TLU8T7teh7tVeI5ogW2B82Zjlu5vqN50fs 35oT+zyvC7H/KJpfDBvz3YetOZYl9rnmxP6dOfoL7XOGaLV1kD1EMX0pvpSY Hfts0bJi9PO9yHrMdYnoC8e+wrL/n6M581hj2/hfbD101rqPOa20LHNdZT7H cuO9Lj9YlrmCX2AdmPeL7RJL6xSx/io6NMU81rNPKfxtEv3sOaBzT4p5/ibq kGIOG0RPpViXP0U/eb3QeTbFfP4SPZhinr+LuqSYwx+idd4TdHqkiPtv0TC1 h4q2Er2dIo7K4luIkiiLBqeYT1G8V4o9LogPSBHHZsb/7BqgbYqaYPMUuE8t QE3wWoo4KqWoDagFqAm2UbuKfW5rjj32c6zPLvUAdQH1AThBrgY3qA3AdjC+ mmuKJmpvn6JeoG4An8FPcJR6gLqA+qC6awEw/lhjO7INU2A/+A2ugSfgyuW2 AX7XMJ6D9zVdC4DltVxHgOXlmgDfYDL42cr6N7uPMfC3jPO3eAxbza3fzLI3 +ruFdRhv6W90WttHuZ5obnttPLZnijrgNtsiFvCPeom6qX6xoiZAh5qK+us8 2wVz23sMDC3j/L3FCjwG9x6y7fbeK+zdb52qKXC9g8c7ey9vt2zbYgXGMwb+ g+EdPdbJ39Qdo10flHEd32Wsfd6yYFhX2wKHyjj/pMc6WKdcnyD7uP13sw52 y9jO2Iv20dHfjxUrcJox6oJxxuZHHQtYyd3lDq+yf3C2u+2Cq+ArOuBjL+uB P2Ws7uMxMBaMAquoHSYag4npNesQRz9/YxcsBUPBNXABLKFemGy8JPbXrUNM /f39svX6Fytwvewb3PnQPsC4d60DXpXxeYjHiHuQ9ftadrDtDrMOft73Nz5G 2kcfy5b1R3nsU+M9OPqWYwFHwRDy3ALrjLbO9GIFLuGP/E0eB6vB74/te6LH xtjWdM8DWXIR/sC+ycUK/J5iH+DdNM8Z2bH2P91jxDjVOmX8nur1GFuswOwZ 9l3GSLDq4BT4DeaB1eA32AZmg4GT7HOm9ZkDGPiFYwXLvi5W4Pc3jnWefYy3 7EzHOt9jxDrHOmX8nuM9mOYY8bfI6z7UeXxLxwr2gXnECpaVMXy5x/ADpvxg /2Dm4mIFZq9wrCv9Tazg5hrv5zrrz7ONtcUKzF7pWFf7e671VjvWn6wPhv7p fnDzd/sCu9c7frD4N8dNfGAieAnmbnCcj6fAW/ySO7h73CHu/UbHsMh6+KYG +MsxgcubHD84+7fnM9P+0ANDC8Zg8HozY/DJ4ocZg88T1RMdITpFdLhx+QLR MSmw8T+ifxvjkzG3ivW39PdRKd7z4Dc1QGXXB0fbBtiKDvi99T/wexvXBpWM 94uMy+BnnRTvRfI2GLeLsRLM5A3O+7f8TRudHVPFG3tn42ztFG94cOzMFN9g 21kpfOxtnZ2M0eR5+sjZSy0L5pyWAhfBxNNT4BOyZ4sfl+L9OsOcXF7yelLb zE7x3iL3LBGfm6Lm/zLFe46cfE6K3zbK9/Yg39UzUtxn+k5KURdyzr5J8Y4h xyTvEXtyYoo6mHOYvdclz7OO13Mfx0z8I8QvTLFX7OGRKWqwU1PUSU28rsd6 nbb32WjsNauRKta7ZqrYq1rerw/FW3ndD/dZ29zrWtv7wv78N0X98pH4HY6V s1Dd5+Egr88kn6sLfbbqis5PsTZ1zVkf5n2K536o14U1Yd6ne+4npFhf1pa9 PdNxsd7neC9Y15O9tsRez/FX9RliXVmr+l4vavvGKep79uEE22+Uol5kjhB1 I/Ud827kfmrci7z+iy3P+l+cor+Rx/nmrvF+oD6ua36pZdDlLuGDOpiYkGX8 EsfW2LFSK3+R4vcJagpquCbWg19umStT1HnUf9TE1ILUgfQxVv797doUdXZ5 DHtNU8hfar2mttPAOtTk5BLeAlvZxjU+Y4xRi+OzWYr2Ze5rZpus+3U+L+Th Nj4DnM1bUpxNzuNtKfIF57RFinPKGjf3OnPGb0pxrmv73O7us8iZJB/dZfu8 0TibN6S4H/Tdab/LjAectzaOCfnNPceSeVvPlzVu4jXsKP5ACvxgvL1l7k3x 3qN/pHg7n8N7PIb9+91GBn6f+7EJJm0wJqFDjPR1tPwKfzPeyf3It3Oc+ALn wLAV5p0tA+cbLHzY/b+7/yHLgHNdbOORFG3wDxwE6zZ6/BHrwh91u2sKOWQe s0xZt6vbq/yNnyfdv9G6T1imXdbdKsWd7JYCa8Fy8vZ32FX76xT5+s1icL7J 3VPdTw4nb3+VIndTD5KLycPfuj28GDmeemuSczVj5GvqaPTJ+ePtlzcA9fm8 FDU68gttB9n5old9T5F5phi16EL759wv8hlu4DY5E77Y/Q3dZhxdcAgM4vcc YqWmPdDt8u8+xE8tRl4gRt4WL4l3T1GLvJKiFqH+AL+pOag3+om/nqL+YJ2f 9l5Qu1A/UTs9l6KNnWcsx168nMLHJtvBJvXBFK/DZPf1s/2+ot5uE8+r1uXd x+/O4DVrPMPrTHzUTNRLPa1Trp+YS7mm6u1+eC/b72H5Te7vYxnm8Zzj562x wOflK+81e7dCZ+/7HDmI+/er88Tm6vsrB8acIf5HjpprrejhHHl+oc8Ee439 aT6fS7yX7N0Cj9F/mvT+zMZA8d9z4NiJ4r/mwMOse1A3x/0+hLhy5Le54nNy /D9GUTLn5Mh5W6h9Xo4cs7Xa5+fIE2eK/50D248X/zkH7lURL5QCgw9wbNyR lZ7HZM9rus85uLvU+zXP94Fzvp/b3BeI+8H7kr6PLbO/zwd3E+KMvO37MisF tqHHN2d5vvdlssfGu3+29+5Ny0zx3s2z7kSfIc4SNd4s9z/jHDIzRW3FnD73 vGZantzC/DkXI3z3J7gfP5/YF/5n+/x859iQecFn7C/fned93l70faH/Aq35 tqXIuQ3V3r4UOfRCtXcqRR6sr/ZWpcCYk9XulqOmIS+2z5Ebz1S7ZY7a5Ebx 6voernY9tUulwKRz1a5SCow5W+3KpcC/i9XetRR3vpfaq1PUlNerfZT631P7 SrUPKMX9OUP85hxvCPZ/mc/A5erbtxT3uZL4FjnqL87vCT7Dl4rvUYq16KL2 LbYzQPy1HHXScPEhOTD2PfGBOWof/i+xbY6acqT4BznqGM7mSt+pj9U3Pked wX063XeK836Wz/yB4jNz1BCfik/OUb9w5071vVtum5z5xurbuxQ5lL5V9sU7 /Xu3x0lmVI466SzJtspRt74j/kaOOo68jF3evqtsi+8VtrncfIVtznF7tnMj 68zvYnPtl/Gmsn1wKXL3tcxP7YFqN2Mear+Z4v2AHr+xkS/GuI8zMSpFrbLM e4kc7zze+duJ3k2x/+X3Ie9S3qRvpLBNnqfNm5D3KueSWofa4y2P0U/dzTuh jm0Ps/3+KXABO2t9N9YYs2iTt/GHffBqmePnvBH7+45/K9vd0n3D3Acfbl+8 FXjbUCd+o/X5NkftOMTz5Dfwd1LMkfmepPUr5Xhb1BavlQNva4ofmyNH9hTf L8c77McceZk1/lU0NUc9TH49zjl2tfhBOWrUWrL/d4p3THX1HZMjLw7wurEm tSVTKcfb5WjxI3PkV+Ic6LUd5O/Kjv0d9w/2vCqbD/Yc+W1jsPdztPed9zLr 9IHXijO2xOfwCPAtR96dLf5Vjv9v/xF/Od4mRyvO5jnWclMOLAFH0LvDuqzf XV5D7uhE39OnxE/K8RYkZzzrvPGSePccb8VHcqwp63l7jjvG/WqRI/eR98gl 5CbyyaE51o51qyZ+Q45zcav4oznew3Vy7DH7+7zaz+X4fYW9vdP7y5608b6w 9q29/uSeD51/9uSu5cj5e3EHc+DLEbJ9XY792ZfcnKNOGw3mpnhPVZVMkxw1 1D7iNXJgELlkjPPJYZK5Jsd9GiH+U4p3B3lxsHNjR/EOOd6194ivz/F+3lm6 F+Wor/cm1+bArH456hVqlT0lc1kOvCIHv+48XFW8Wg5s3U8yV+Sovwbl2Hv2 fTf1X5KjHtxB7UY56v1O4g/k+A2GnN3Zefte8Q053vxgSO8c+7WOeeV4s23M UWNRX/UR75vjt4Nncuij+1uOeTLHX3K8E8DBheILcvxdBnn9kxy5HTwZlgNT 3hT/IcW7O+dYd9b8CfGuOX4fmic+P8dbdIb45zn+tmVNjjPHeSvmWFPWs3KO vWffU461Y902y3E+OBuzxL/M8f48gPXO8Tcua4knx9uVc/FRjrOxTHxpjr9J Id7+OWLeTuvcIMe7bYL4Lyne1Aeq/6oc9fVn4tNzvLEPzpFryDP758hZ5Kuh 4utS/FYARr2VA6fWiybleLNPyfFNm3P3fo6zh8+xOfyuEl+Z429tsPduDpuH yOfVOXJ8D/E9cvxOyRuOtwPvi8XqW5Ljbf8/Ossd1g== "]], Polygon[CompressedData[" 1:eJwtlncUV2Mcxn/Vfb/Xau+loaWlSElDE9HQ0pIoKYWmzGNUKkWFFEoop7KS Ii0jhzoikpW993YklfB5ztMfz/k9z3vv773vfe/3eb5vreHj+lxetFAobAQZ eDwKhdVgUCoU+jOwGb4JDIAPY+xJ+JrwtSHoC+DH5YXCMvhD4B30W6Ac/BIw DV4fVIN3AaPhJ3D/WvhT4GJ0Y/Rq+BpwM/p4UAPeFbSEd+X6B/ANPLMReh7o hq4JZsLb6Bnw08Ez8A1gaPKal8DvA73RZcBa+Lrw2s/l+kV6HvM/gn4M/ID+ l9/KYCJYj346fK/mvB++FPSF99N/4I+Cfpn37C74ItAT3lR7AD+R+ddrbWAK uh16B/w4MBBdEX0HfAEYjK6CXgi/G5yDPho9FT4dnIUuip4Cv0pAn4beBa8L xofXqLW1BovhC0AHzQV6wo/g/uvhN2oP9K3Qc+HzQR90CfQM+CxwJbo9eie8 jt4ZXRo9G34r6IC+Nzz32WACvDXXt8Krg2/RP4b3shL4GP45uBxeAdwEvwf0 gncGe+AfgUvh5ZNr6T0wJrmmdsLfBKPgZcEX8G/AeHhFcAW8Lc/fDq+tPdSz 9A3gPTQGf1A1CC8NTube5apn+CawEr5C35fvOQD9Mvwl+QE9Qu8IT/znGvi1 4AX082Ag1y9EH4B3Ag3hjcFW+Ivha5rjELwLaITuCLbBt4fnHsz1LfBnw17T nDvgr4SvjWSsKvzn5PdRTRdYyxmMNYF3AlXgzXN7KwPD0fXQK+CrwPnomuil 8AfAMvk3vBfNwHnw6ly/F75Eng57SN7RHuXw+eCsZM+1hp8arr1trHEhvCPo nuwBfds64b3XN/5b9SrPJdfkKvjD4b2Wh/bKH6AB+rTkd73z8P/1zkXgt4Ez kzPiM/g//LZKrqn/VJeMnZGcObq3Fe+zJfk/8uIYZUSyJ3VvS8Y2J//nDvQN +gbJ76BaLqAnZK7pHH0j+jn4dcnP/hI97vAa5I2+6DnJHimDLonen3msBXos emPyGtqgi6Jnc/2l5GzI5OHMGaHsaxX2njKwGboyuhh8XXKWjgpzZWpVdBnt Cf9fpBrLnZnKyt3gq7Bn5BWtWdkR4WxVhsjrSZmW2fNd0C3CWbVHHkU3D3vr XdUcuim6FvztZO8VU+Zk9uBB8An6Mn5b6n2Ur+FalQe+D2eEsmGCvhG8SO7s VE0Xgx/N2F7muzI5u3roGyVn2G7436pbro/m90iuH8PYX5nvkVe7h7+VPKvs rhu+Vxl+ALyPHqss0B6HM0jZozHVxi/oSck1UhJdQs9k/pnJXhmCXpzsGWV1 L/S05Mz+NJx5yjrtwa/wn0CV5Dk7ww+Gs0CZcQh8F96LU5Jr93f05OQaVjb3 Dj9bGV1PeRDOes3ZHr4v7B157BjuL66xzGtS7+gW3kv1kD/gv4WzWs9oC/8T tE/24EnhGtC3V02oNw0K15Z6lHrXAPSdyT1sUriHq3e3TfZS5M5Keerd8J5r r5Xp8tJJuXujPDULfUs4i5TB14V7vHq71jRHXgFDMueBvnWWuxfqm8sbTXOf JeSRD8M1qNpTT9mvOg2fTVqAXeExcfUU1dLUcC9STTUJ17hqWzXdMOwpeUme bRb2hLwgzyorpofPOsoMeb9U7l6qDJghr4Szsh1jc+ETw3ulM42ybp/2PTnz vg7XhGpBPU5euD3ca+UJZfHV4bmUyaXgZXP35gOZa7V47rODarYSulHus05R eSz3mPgTyWexkWGuM5nW8jr64sNr0llphPIh+cyk3nIhemVyj2mIrigPJ9+j XjNUeZbcc45Fl9U7ZfaMzh790fOSzyDlc7+D1q6xWuhyyozMc1RCl9Y3zVxz 9dEV0IXkNdRBl0f/x/XlyVlYOffZSpmo/1bIfdbRHPLGUbnPQvKI1lYt99lL a9TZdlh4Lp1xtZYauXuj1qRn18199tUa3gifUXQ20Z69Cn8t3LtVs1pb7dy9 V2vUXjXI3Zu1Z5PDPUG9QJn6PyVPU/8= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0kk3l1EcwPFHKf6E08LCooVFixYWFk7neAmWXoIXUG+kReeYQqJUZC6Z h1CmUoZGiTILkVnGPv9j8Tnf372L57nnnpucdTvzVkQQBHdJJzxfIkQcV0kk iWskc50bpJBKGne4yQfeE+1DIaIYtI7RIW0m3nxPh2liIPwve3laQB8J1v36 kovmRo3UfH0XPqP5MhdoCM4P/iIcfaNnPOeEek55zTF1HFLLEb38o4Z9qjmg hz2q2KGSXbrZ5hmbVLDFK/5SzjpP2aCLPzxhlces0ckKZSzziN90sMRDFihl kXbmKWGWB8zRxgzF/OQ+v2jlLUW0UMgV9xNLrnmKab7zg0ly+Mo3PvGFz2Qz zkdGGGOUCTKC87fzHyhWW1w= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{273, 272, 276, 530, 521, 522, 520, 524, 523, 412, 526, 527, 525, 529, 528, 413, 532, 533, 531, 535, 534, 414, 501, 595, 490, 519, 438, 517, 437, 518, 411, 275, 274, 273}], Line[CompressedData[" 1:eJwl0udXznEcx+HfHX+ErGQVsrJVyl5ZnZZ98Jw/SbJlc45ddpGRvTMTxwyH InF9Tg9e5/p8f/ez+7wz128q2ZhKkqRW+Y4crdMRLUlLkrdcxBYu5mEW8w0X 8DUX8hDn8xXn8iXn8SDn8AVn8Tln8wBnspnT+YwzuJ9FfMppfMJC7mMBHzOP j5jPvZzKh5zMB5zCGk7ifU7gPU7kHo7nXebyDsdxN8fyNkfzFsdwF0exKf4b 3uRI7uQI3uAwXudw7mA2r3EoG5nF7RzIBg5gPTO5jR06pzTvHvrjblNf9xn2 5mn24Wf+0il90kmt8X21qtzpPM5ePMYylqtUH7yParNWeX/kCf3UFq31rZY/ tML9lRX8wkouV517Jc+yXT3dXbygv7qof6pWf79dYj9eZga3slMpd6Lz7t/6 psHeVziIVzmE37mMrVzKdyzhe26ITcROYiOxm9hS7Ci2FXuLrcX+YpOxx9ho 7DY2GztOdW/+P0MzZMQ= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{823, 608, 1078, 957, 958, 952, 953, 851, 825, 946, 835, 1008, 1009, 1007, 1011, 1010, 837, 1014, 1015, 1013, 1017, 1016, 838, 1019, 1020, 1018, 1022, 1021, 839, 1024, 1025, 1023, 1027, 1026, 840, 1029, 1030, 1028, 1032, 1031, 841, 1034, 1035, 1033, 1037, 1036, 842, 621, 614, 613, 612, 611, 610, 609, 823}], Line[CompressedData[" 1:eJwl00VvlFEUgOGPlDXuXtyd4O7BG9wpbi3ursXd3d2CJUCCu7s7xcuKH8Bz w+LJe8+ZzeRkJjY+MS4hVRRFyXSNiaLLLOIW3bhJd26zmLSpo6inptFemk6X aRbtrZm1j2bV5Zpd+2o27ac5dKXm1YGaRwdpPl2l+XWwxuoQLaBrtZAmaEFN 1MK6XovqSC2io7SYbtQSOk6L63gtqZu1tE7WUjpFy+hWLacztKzO1PK6XSvq XK2gSXqOSt4L9DgnOMkxqtnv0Kq6U/fTiXnMZw7bqOfzOO3ILBqbZ+t0tlDX 3EY7MJVG5mk6iU3UMbfW9kygoXmijmUDtc2ttB2jaWAeoyNYRy1zS23LMOqb h+tRjrCapnZrdB9DqWluoYep4p2L3ORkgN0Kang3173soT/V7ZrpISp7ZyQT 6Ym3y6BLtIku1bOcoQd/w3dnN7s4TWdOsZCDHAj3JIU//OQ3v8Id+c4PkvnG 13A/PvOFD3ziY7gb73jPa97yJtyLl7ziGS94Hm7CE57ykMc8CnfgPg+4wz3u hltwnRtc4RpXw++Gi1ziPF24EPP///gPV39zkg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1He4lmMcwPGnnAqN065TNLU3aQilIR1aJ+3FUdJ1aSkpyRUq7bjyR4rQ pI3SokHJaGgXKTS1rFQIfX5Xf3zO971/73nf8zzPfV+ndOaAjP5ZkiTp6MeD KUmSTo1sSXKOd7InSRnepiyzeZL7cyRJPx3POC743fm6gHm8x7v8Yr5IF7OQ pSzhV/Pl+j7L+JAP+M18pX7EClazit/N1+o61vAJH/OH+QbdyHo+ZRMXzTfr Fj5jK5/zp/mX+hVfsI2vuWQ+QSfSn+ncxuu8wItc8Tu7tRyzeIuBNPcsBuh5 ynMu7jueCXW8N0n/99l6Xlfw+iVGk1DfbJBWjGcS9xnPgLrmkzULd3ldSccw mAesn9IpTKUK95lV1lvISgPrIVqV6jS2rqa3cgN3Wz+tNahFE+uaWoIU7rEe qrdTm6bWd2hJsnGv9TN6Z1wrzazraCmy09B6mNaL64/7pDRjeZYW3h+ur5CD RtYN9GWeI916ROxjXGvsc1xT7B8juRzXEPsWfyv2hud5jZnMiO/kVXLGPfu+ FvFsND3uUXPpTdpSb9RWerPm1lzaOj6rbTS35tFUbat5NEPzaqrm13aaTx/W AppXC2l7LagdtLDm06LaUYtoJ03T/FpcO2sx7RL7qQViX7Rr7J92i33QgvFM tXs8d+2hZbRQnF3tqWX1kTizWlgr6KNxTjUzzp0W0cr6mFbSXnGmtKhW095x jvTxOEuapjW1T5wffSLOkBaL5+qcX/T/4zh72cIqFjKLaYxnFMMYSF8ySfPZ /zjje85yip85zb/mJ/QkP3GcY1w1/0F/5HuOcoR/zL/TwxzkWw7xt/l+PcAe 9rGXv8y/0V1sZyc74pyZT9PzWlzf5A3mMifOv/te671aZLiHtrShNa1oyUMp 1/+vXgN2WqWd "]], Line[{1324, 1285, 1289, 1293, 1294, 1295, 1296, 1465, 1643, 1844, 1642, 1842, 1641, 1843, 1664, 1799, 1612, 1797, 1611, 1798, 1663, 1682, 1601, 1686, 1687, 1685, 1546, 1793, 1608, 1791, 1607, 1792, 1545, 1790, 1605, 1788, 1604, 1789, 1544, 1787, 1603, 1785, 1602, 1786, 1606, 1324}]}}}], { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlnk0ld37xoWQ5kEqQ6+KaCBvqKiujHklGjToJWWKpCIaSAPJmDFHhmRW KIdM4RWRIcMhlHk6x3jOeZ5jaqDye37fvdZee33+2Ova97rvta9LxvLaCRt+ Pj6+Wmr//8kythSKlOdBaTBS3iz4G+ii5hprFXg4NiF+M+jhN8hZFb3OV+Ih 6d899c+KZkBz01QvVeFBeaZq05zADCTkWmcO7uVBdaFZXMW/05juMxQ3UOdh LWvLSqOyKTiOrxblUWx8MOCc6q4pVBcZ3DtEcXXA0MTh9EmoWJ6r9Kfun6dN LQ/aN4lWfYWpL6o8BMgKeUYwJiA/ELpD6W8ejDrOsD85TMBZLVD1+U4eTG8v a89YOgGBpCj3bdT7vbKfWFTm8lBwLHF9vwwP1joREq8v8DBhGM/rl+QhLXiZ u/5WSkeDs85dnIc/AW2l4v0klmj/G5+9kodoyfPOea4kvltEePos5uGr6gVR 1eUkthYPvpoXpPQnPynbZBI48bV06YAAD/1ZmntPxhLoujQw+Z6fh74bYl9M AwmU08LNYhdQuqeV22/fJWA5Km50k4+H+h7DJfQrBIqvRFecpXhbdJyBlAMB 2ZqWvzUoZrSerPK3J9DEqIyRoni61+L+j0sEzplmNC6j2IBf3UGJYr7/LR5s /7cILCA2nRmcJ2G+IdnsuQ0BVpdMRiXFk/m7LVutCUiKtRv6UXxLeCpAy4rA g975gaMU71HhTNIvEngyGH15FcXbo1dFbrxAwEilafl/v0g8TCnecP8YAX+V 3W2WsyTc1swe/XaIwGFvlXKBHyQmBkL4vJUJxNzX7XwxQ+KYWiz/9k0EzrpI NNcOkdBIs5x2LufixeLl1rvbSBzWE0s2sOYiw71OkFlBwkTwxS9vUS7scuL/ 9GaTkLIT7Zp7y8HzVM7NnS9IDNmLd3tf4KBITq7h3UMS/EsVC5eOsiG8Tu5q tyWJyshwxhdXNgyXyea91CJB31c+eWcRGxl24seVZUg4nGGbRyWOo/vmhyO+ f6g+CCmE9B0ax5LMI8vfdxJwEjSy+cMcw8/SQMFNaQQ0V+/q3nJ5DLsvjiYk OBG4Rq+Pd/sxim/OJ2wvqRNY6naq0SpoFF8uH2mMXkCg9hdzzGT7KFLma+wu VnOxRU7xXVPjCHpqZdi9AVwI89Mu294egZ7QkLaqMVX3pTgB+tYRaJp1Psia 5iBT3z1VqXgYSXcWpZ96xsFIqaKihOkw5M1ntt5X5yBMR6wjhG8Y6ySj6Xe7 2PCLcmXU0oew5lBu6jN3NuztWr6L2Q/Brd/BRVyCDV/r3MB2+SEo+1cN7Cka xy6JmCPeJAsmxRL1BzCOOZ7TnBCdhb+EZGOcKseg1aGu9+0OCyXVejO7DMYg dkTlmq8hC3HHY281No1CKlzmi8hWFp6GPwgPOzuKp5Jl99pEWLCT/GFRMjAC H2HrfWYTTES0alt4XhmBbRrDYF0/Ew7eG76EfBnGxpMXNLZ8ZiLF1r7st/Yw osXbMr/XM9Gg0jm2OG8InSIuCgUMJlq2cBYTCkPIE/Ybj+5gwqfMsb4mkYWC v7VK2GNMrLljGJS7kYW2RR6+1G8FrXIF8ffxTATb82z3S7CgqPb9QMsCJho9 29c46rIwdoHm3GM/iOrjPGOVmyxo9H+s/9A+gJqg71IPMlmgVRkZnTMaQEeT 1SmTEapexMpf/9QP/6Nzm2plh5BxzeFxjWE/1LqGV4teGsKr0v4G7fQ+qBqd dDmVPoQNAU7J64J6cWmROCuB6o/nuMRCpmcPJjcft+47Mwy2u0b1Y59udEzb qgplDeP0iqGP7OguzJ3Xkt27cATXjnXf5i/pBL/mxeulpiP4EBWmVj3WgWtC bGnhzBEsaqg119ncAY9QeyJhbgQXHikmhl9qR4SAVv9+/VEESvBE5py/YjN/ 3Tub16MQTdiSnxr8BboWSRJLloyhyivFvaK4DTYVTqqy1mMwbTSm5c60Ild7 tPlr3hhOhizcsHx/K2K71xo6LhjHUaMW7tMnLdBRlF+te3gcfTpuJUpjn7Fl Zq78kw81N7b0dZyjnxFuR4+7WjGOJOx6MjrUjCg9B9X48XF8t7ZYWvSwGQff 7tlYtZyaQ4tI/y0yzUi3MdcS3M2GMn2l3ERFE9bL5uTdNWHjr67JDK59E4wT lSKMXdgwkSjYwFnVBP4FIuzoMDayXXscH3kwsMpn4pVbFhvP3qjeQHQjDu3S NmtsY+OukqR0S1kDsq4zztT+ZGPTiha+UF49nPW9bFIkOOj3N3Dulq+HHMOL HqHBwants2ry9nUIjqi8Wm3KAffiTq9p+icIW5/xtrzJgRjhm+PbX4uSMaW9 hjQOtP/757n2+loETLllWOZyQOt72el3rgZXv5bkNDdxcM9/YKIxqRrSTRr/ vmdz0PNo+5Xw6SqkjV5hGC7k4i7/bxUrwyqwrhSIR0px8eH7Q603Hh/xR7rL RVaDi88tfLpb31XiOhSlv53mYsdvVeu1fypg53TnvbITF2axYW1tRyqwR6eN NufHBftujDcj4QOyi0wdnBO4SNMN2uw+X46Gwt/62QVcrLz67Y6ZdTniGU1S TfVcNDM9hfmbysAhstRY/VyEmYXXC2iVYXDBpXi+aS7ya2O9BV3eY8WCWTc1 IQLt5ucnDK6VwkC4aX+EOAH6z7O0va7/oU8+cnSbPIGnOXLX93iXIE8vYb/g XgI7BcsCSuKKcfxme8eOwwRuvyyc0ysvgszwtFXWKQLqe2bEE+vfQTDj949U yo8SizWTsgYLkdb2PaLbhYD0rqPDn/kL8VhMK9PMi4Dz09mfbjsKkM/nH/N3 KAFRHbMMGYt83BvvabSLI2AbeqNky7U8NEgemq97TUB7IsxjfUAussxVvpqX ELi7OCXtYM5bZJXW9+74REAx36VukJkDpyQ/fb2vBK7uWfnacmMOuhwt1uUz CXhtY4Xt3JyNVpq+7ospAmVv1niUqtGhozZif5efhKzIVf332W9AXNXMtlpB 4oniwM6pFa9RsJ/VaidFgnt/r7W0XwZ2R9Y9ea5AYuHgaSXXdenoH/OYXKlK Qm/nepZM4Ctk//VQ5co+El2CzsMbBF5hk0WtRsYBEk+rQnz1PV7ChV7dz9Ck fO2e8XT4bBq07jBHO3VJyk+uSI+4pWGDvPWqhn9IVETEJoswUiEbHBEgYUxC 9FbprSj5VHipdkceMCGhc8ls2MYnBYUxKVMqpiQGnsSl7mcng2yN1RM4TyL+ 5evZ5RrJmFeV+uhoRaJEZt5PPTQJ6lm5Xcl2JOyKwkpucxNxU7OyJt2RRJhP s42/cSJoc6KZD51JlNqmMN+aJmCVq0qKsBuJpg/Dm2uc4tExTGNIUb5861yw /cedL8ByOPiizodEYU7l4QshzxHq7TAnHkTxX7+kOxfF4kOdpsaipyRcyXl6 HX8Mfj6rHhB5RsIsfXDbn4XR6CwWa+2LIUGzCG6fXxUFxei6sWAqB+Qwiiqt FZ5BQ/VJ54YkEgckVlhV6UeC6L2s55lK4s/Cr9lOhTTEBRYOZb8ksbhNxrl+ Ow2709b/+ZxOIvqXo2JJYgQeDC6eHcokcdz3jfFWqQjcyr6oyX5DQmAgWN7D 9SlO7bLf40LlELqk1v3DLeFIvN1SOvKWRE1gMdNELRyFiaw4vXwSLUstWK5x YSh8+pIWWkgiObNCMvRiKGJ6i91M/yNxYyqhNUI9BL2TdW/qyknsYPZ31BoH IbFTPp34SGLbWrkTC44FgtFseqGmloSCxjovsRv+oB21+ud8A4k45vDhQ3p+ yMwNm4pnUPVvG3+ntNUXDMKrp6aZBGv1C/t9Yj4Ielxm/rWFxKO3tqtLlj+G DHE6v4HKWQnJ7y2k3L0hZSKymf2FhL+38jLP8UcYNgup5WsnkW5Q/Kve/BHm TsyylnWQcIp6PjPQ6gWBswWZYp0k3h1SeSdv7YXTklGzXIorA49fnp/xhO6R OpPyLhIrehVcTvt7wt1gpCO4m8TS89kvpWU88dooOs20h4Rj7fZhk6oHyOPT CZrso+ZtY6Xx+OL7EArPfXh2kESi4uJCeWkPqDn12CuzKH3La0ujjd3Bp3bz Hw6VG/8P8TFw5g== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwdlgk01dsXx5UKJUkoEclQKUQvMvWNPMMjQ8mQIcmQMhQqL0OaDCEiRMkY icwNimR6MkXmJ/M83Pv7me9F9L/vv9c666zPOmetvc+ezha2cT1jt56Jiamd sf7bg0/JMMuI07HqskPCImwRnY357wcO0CEUe/v0EYNFHIjuZH98hA7y7OqK qv8C9GXzeY/I0ZHFyXYsoXYewnUvKjsV6HB6PBJTyT+PqMpo32dKdNxL9bG3 85yDkMKWq/+x7HsnqUhyFvTjPXmHFOngaB++peUyi4nzHZss5enonbCtHZub gVswR5/cUTp4sr7JjtyZgeHyoEeFJB0OGvYDFdtnoHLfso59Px3rvTV2c2dM o8hX83WoMB30cp1rm2ym0fzha7UHPx039DcEWu+ZRmMyPaiKm44UcT8t1vck ttk4nLq/lY7CIi3lN8dISM6qqeRtpCMz0d/WrYiAX/Ddtqsb6DhB0RR1TCOw Ra6EWYSZ4Y8DzY6ekQTmru+sa19HR1tRAUuiH4HkpiypACY6KBqiP/qcCRjk OrvaMfhE6UnBdU4EbIaC0k8x+FVA6et9VwhQj63vEGbwKf2oa+qXCUT6RVE4 GbwY2HrpnAMBpv8LHfb/FwLMzOPs5G8amCwKLt+yI7BDMH1nL4Mp7Ya3A20J iGa2HChmsIaHVPEbGwKyupYycQx+X6yu1GBN4FqDuowng6mOQTTSigCHubjx vjUaNmRUOJvqEnjOJCJU84sG1fSW2E4FApNWZ8KcVmiI7HpucG0/AfaWhgz2 ZRo649UchHgIyLuoLmtN05ArQF1ii6NCXSr5MHWEwYYTbMwiVHz8asqx2kUD 7327H105FORFjF3wbqRBb4g/0fYkBZccJlpdKmjgNg9Jv9k6hVrVgmfKuTR0 nWrauig/hdLR3tO9z2lYC2pTzkyexJW4+S3W/jSkWXuuinJPwvzB8awGVxpD Twfnr+AJpPgQtbKmNAzyua39YJvA5MJKdRxouGUWJWYQOg7zx96Pm/lpULS/ ODo+PgZ+snLX2cVFhH1m9+bTG4O7zOPvxxsXUcC+s/ho8SjqZe6pJKQtwjxF ROi57CiUu1x3J3kvovCKhG957gj8gsLUTA0Xcc7klYiE3AiY3UuLe0QXkfIr R8yqfBhlL29Z3x1cwOBfwf4dYsNo32YdK/ByAb5LC+JxUUM4H6SnOWuygOMl sl9ecw4B6hqfVDkXcOR2M5NI9CCMXwh+1aieh4q1oo2q2CC4Uj0KFXzmEZ3Z EWNYMoBTT3sj9GXnobtx7l2B5QBmTlifU26ZQ/i2AyF/T/fjRM+ZFzfc5/Aj u3/zvcf9WNmjeFh/xxykOaTrp+T6Ea0t7chTMItiyZhbPT/64NtmlL317Cy4 phz48jT78PNqwuubjDq8JL0zfMf3Xjhr5hUEPp2BR3PD69FLvfizm14hzj+D LYmHz5BkDx45/J55kjKNtr7YD2IRPSh8Y7udX2oaZvmmBm1aPbg7LDO85SaJ HVJOjl5cPZCtuirFE0Vg+EGcXym1Gxksa8VZRVTEz76pdvq3G249jpK7hyko T3sb5dTajWHZEVG2til0pbhZ3BzqBl36if67pkm4sXxMlmDrgeFq+B3djglY mi5oF57qgX1vAE/3+Dj0P2pJ2z7pweRm+mnjjeP498hcWfp0D6rGXlCjD49h 3lbPbJ11LzZqmpx3sBqFA1V+1/reXpzOoCdKmY2g0PJI29EXfTipqLdYZzcM 8Vq2ziB5hj/zX90zvz+EgNxnB7Iz+lEf/WzfeO4gEvcKBk7sG8B8jo+EO3UA +RPLkq+SBpBcXpaxLD8Af4Gje41EB7FPkv+Kb1g/0sxkxm5lDKJwb6KtY1Yf QkQXuj21h6AiGv+u1rQX5hc2r5aOM/JlU2bgHuEeuDcoepo8HAa7wXRRxPpu FBRKHorcMwK78id7I5e7YPFnlB4vIz93/cxlKdvUBc2CuOVWpVEE2FRX0kT/ xdXAkcztX0dhqe4zrn22E77Ojx1MlMdQWh5xj+7dAQ1apFLx5zEIaeqNc75v hybrdMYJmXHM/h5nrf/VBndZjcx98eNIG95VFa/fho6QbXVdv8fhkM1nKfW2 FT6xg6pLZhPw72gUNeJuhS1LpaxI1gT2vApP3fqgBfsqOfU20SbQbPlWyXul Ge4T820GSpNY3i3ZePRKMzzy+rDl7iTmeIy76/p/YHsWp4X410l0S4u+87L6 gf6kUbPrS5M4OFcbETPYhMF+Nf80ySnYGv1sDHZqwtp3tfkrllOgPGxsyaM1 4qpihop+0BQyn9As9u5thCihO92UN4UHLhsWkgy/I1zb/pxFxxQ+Cz0cDwlu gNGO1xZ6y1O4afeXiU5DPQQ75B8u7qbAsc5Z0JS3HtZ1sVnPFCgwP550Wtm+ DqxhXB9cjCmQv/aTI7S4FnL1s5vfXKfg2/m1oGyBWqS2HuTqfcS4X2RVp3av Bm010vatyRRQdMt0flO+od2Gg/dNEQWD0W4FCRbfcLFxQM2zkQLZoiX+kaZq hIXMlhgx6mDy6D2XKO1qvLMyf3yGTsHKTQ5Nn4//QKr+wmzwVio24Brn6cP/ wLVydUO3MBV9b004/0mtgtIXgf1Gx6g4OP2HULZwFUNvXTKzFqNf5ydJNyZX wtXDch3djAoyxGN0cX8lzOz8DVWuUsFpfeHl3fAKXLz0U+SSHxWde6Lq6Gvl 2Fm2Ghb+lAruQ+ExrO7lcBfaerojnYos15D4S5QyRh5MC2h+oqI2lEO1/EoZ nk6PChB1VJiHneYfpH5F2XEf5n+7qdDdoXRHzO4rxLhXWTRJKviEhlp6K0oR MHnSso+JAOflQ7VD1V9QdNRmNGc7gd3vLoXWtJVgmdsCVcIE6hMb/9pMLUaO 3IdhCRkC5M+kxZWZz2j+gu+FqgT+2n7A7M66z7j+p06IlyGBigeJBqu7P4HG EnY3mPEfejHl0SZUiiAW7vuLdCGwVHMissLxIwL9bE0KvAkc0tv/hhUf8DbT 7jZTOIEx+z9W3MTew0D355RAMgHWFRbbUv53+Fsq/a5wAYHUh7L0mr2FUIjW 1ROtIHDb1mIw6GgBPiXo71ZoJlBuc06d42w+ilLO1V3vJ6CzS+U1hZqHp+LO 3O2jBNZL3DhpFJwHrXbXjduoBP440/35yKE8XD6oKCA4R0DyYeELl4Zc8GXS vmxYIsBWaXR45Xou9K+YqFeuEWh+ViNE25SLlym/Wrw2klA6e6N634kcrNd5 1Li2hcTWXPUf5z2yoVWhqKzPRYL7VtDQhdy3qA513Oi6iwSXy1yfil0WjPfw SVbsI7EUnHXxokQmtF9xtYcdJnFbcmG6dS0D2ssid3oY81JbiERh4cBrLNiz byo8QSJoHYevZHM6AtZzvtqtyejzTKlWzNppWEqLq1I5y5i3vq9L//AzFa4+ Xo4+ViRMY3aurgWkgK6Tbku9TCJyIF+1RicZV9WzZRLcSPhER1lIMyWjVzq+ gvQgEV1VlDL+LglNNp5Zx26RqMgoVCeckjDM2yV2/W8Sr7kvxyqIJYFLW9Y+ 2YthXxyraGVvIgIfsb6q8SFBEeQLC4hNRBglm3fsDgnLFdE/7E4kQpb7jWPO PRK8vOzpn2sTIHndatD+IQn3p0IJ/wgkoIhNcnFrIAnBJmdao9tLRKdH8r56 RMJc2+9ISX08KhyC8w6Hkih56ZAqxRqPvs/GnyXCSTi3ibBu1n6B/UU+8jsi GRydFSoa9hzGiy/aR6NIHGcZ/mXUFYds4Stqac9IpLIX6j7/MxarXJfP171k 2C8tK7irNgZlWWppIakk4k08FLfbRyOKQpWeySBx41HbbWJnFAx4Fm78zibh 1HS7Rb43Et959a6VFJAItKxoFlqLgIBhxIjQBxJejxxyTA9EoOxy8YjZJxK+ pWC7YPEEnv43A5xLGPFOHel7HxsOOR6vYouvjPc3VMq1l4bBp+iw4cEKEtt7 Kd3+W8Nga5Oz6W4l4zz9WL7GhcfQFU9saaoiYe+4ZPerMBQjy6nju6oZ8T+/ aBbGEQqWwISbZt9IyK8EL17TDwFXVeftmhoSVXk9X+2jgkEW2cVL15FwKeFf 0ul/hN51m/eH1JPYKJm7cVX6EYxPnrXqayBh15RU2K0ciM7icNmEHwz/Sf2O J1z94REqN83dRqJle2Gg8D8PYKTX8FKjk4TByTDudOX7oMVolCv8JDGr1m9P Nt3FRSLAca6HhNuTxZWlBT+kCkQoxfSRmMnv5fki5gcPPy1T8QESPOd9f18o 9cVauGNz0iAJtk579xgNH8TU5+RtHmbkS4A16R3gDT8lnbwyBgvzzSqo7fcG 3zWB1j0jjHqpMK4w/OaFkfPsRZ4M/h/+RdYS "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJxF1Hk01N//B/DJqCxRn7RQ8kkSSUUSRT0H+bSgRKRIJEKUKEllGcba2NeI RDFCUj7WIlsSkSVTnzLUjJ13tkq23/v71++ec889j3O31z2vc1/S568Y2fJR KJRWsv9v7O7Y8mdhYQGmPaKld5KOwL77nE9g5Sy2CTgffpH8D+TduEG7kqfx 56LOG43Qg+hpox+V2fMTqXQDhy4FHSxYf6qg60xAQ9Sy2fuVNlbGXtkuUPgD 4xMiQS1rdXDpsqHxlz/DSElavn5O9iCO1E4vtdo0gIjfim2Rw7pQfbnuQkoj Dy4qH7xfeh+G+X99irT+b+hY4s8spOpjE7uzYJ9dN6ajuTekTxmi91yfOr/b F9TTzP5eZWsM+QV2cWguG2vNMug7LU8hn2P0l5N9B3Tj65IrGRawNe39+iCq FTzLI++v37OGe1z8SF1KCwxWm3S18S7gdtDYqpiKJph66tATftjDuFzzreqD BvBy4ti6fc7w9oh39e14A3HfZZFeFFd8STZfHG1ai8kl9dyFyutIaJ2Mv7G+ Gny71z0yO+eJzwWegqs2vMZMX1pW81If1IzvfOw1WIEGTqfZcUU6RoSnftRV v0Se098Jr1L88Si8T0Kzugzt5Wc+qjsGItyU+OdobwluSo3vPJ8UAgnfJ0dD FYoxmF52JJ4WBrryvy7VzH/xukm6baVqJBpl4hwnNxZCmnfLbcItGkLSAadu NT7HWaZeGmMhFvReGrcxrABxHhp+//YkIGJg9tMNu2cwDPd8kCSbjEmjCVsZ o3xIZuySD+1MxaIReVEDzadYPlau6GKahsKLpcluvFz8/hC4fH3PQ1zj7Zn8 k5KDsBVywnZhGaDl1Noo2j+Be5eg+Abrx6g8ygw5TcuGcZ3iVXWLLHg7v9qx ZF02/NgO/1HTs5BinBs/McGCVV7L+vjBLKgrd9hIv2fhziW97ZO7WOC9L9gV nsVCuOqeZRtus1DU7/GtJYOFS5Jz6jf9WFicv0xVLI0FTofi9c4QFnTjTBRM 77PAiD3yWi2KhQRkNN1IYmFdhc2l/lgW7iX+r/3/aO6Zfa88noXWuMplR8l9 hxYp1XDIdbOMeurMAxZazm6w30KeozxfMn2WjOO4QnWucxgLP2LzF6qesiAh KhhbSN5bsUtpjUIRCytza7UzbVkQDX458XBRNqalPLM7aSwUp1rSh/WzEeli f/kfSRaWnp6qF0jMxjY7PuWJX1mwsRdqn+ZlQ0GT/4RHZSZGcwLytAtzEZLa o03cewzPIfhJ2uXDqs+970rAIzDSapVvihdAbkF1oxQ9A4ZHzl7kTj5H/zKn 3VuZ6eBNu/7JnC/Enlwn5yXtD8HQC8/dV1WEx2FBBR9kHsLo+BbZlMclSBka 9NhxOw1yzjHt4blliHMimqq/PICrBlFbz34Jmom8jKbuA5Qndq6eXVUJ69MR EVS9VGwOz7yi7/4aWsruu102pKBncRVTYawK6coGgcOU+3iTPjIQElCDkynM 73mTSTCy6P1XW60O25/7r576dQ+iekaTC9R6qFn8/o8qdA/HLa5c1hp5i/Px 7czXrQlYEiD+sfl9I0Bzb/EtjIfl7DnXEwPN4A4U+Lrnx+FygEhO/f0P6Nq4 WNx5Khan2c3E7j+tqEq71iR3KBZroCbeYduOiZMreL0ZMVhctVWUyelA78Zt tDGRGKhY149S7DpRuTnxcIxvNKZHea/if7Hhf/XNoMxCFDSnbl/2ifqMmNE1 h6VuReHOe2/uCosvcButzrRaFAXPZ1ZKwdu6UIwINdnISHg2JK4emeNgy5Rj 09OtkfjHQgJr+rsh3FFKPdYQAQmum1Bycw9ErnsYnHKNgHnZiW6hF98gY2Y0 pygdAeH4gV/T0d8Ro6wQveAfjrd1xeUmLC7sxhO1nn4KgyZhsZNXwMN3p8jZ swfCkPBxe1dZXi8WBWslKT9jwrGDvdguqQ90nmGalxITEk47LQdu9KO+PTSj tvQu6nW2i1XoDGC23sc+/9hdmLKXBtXPD4CTatEkOhSKWOpgOo01iOjxQMUP l0KRLyzuuOLOEE68vVaf/DsEn74YuIapDIMZ3mDtkR6COhWR4yEFw2Db/ZD4 aBwCw7AVjGbpESws4qP8EAgBv9L3mm76CGTLV1ZIVgVj8kmqwb7OEeSbm7x7 5xWMqDFBscMbR6Hpov7H90Aw9us3zlueG4XTTwPGR0owljGtpotjRyHE6bvg UhuE+37Ssm41ozhSHFFFuxWEzdoGiWd+jeJwKE/pq0oQdizz16VIE5jddXxT 52gghgKLSqg6BMRswt06ngSCybd6e5UlARsXm0MRZF09d9ypxvI6gfJvdawm hUCsOnUwvyGQgHQVvdNyOAAa+y8UNcYRiNzOFZR6GgCr54X8AukEWtW0pu3s A1C7t5wRmUegSEdkD0UmADGHbD1ZRQT+aHJTG7oYWFH5u5f9ioAGJ6AgN4kB sWeOkqE1BNrPjFLiTjOgIfCesuotAdOzs4LXxBkYcA9bU9hIYFFFtJEG2x85 3onX05oJSMUpGZsk+mOB93Rh9gOBpq1/ieqY+yOCeVdouI2A1SLu07kN/uiI e6kb0EFgRo1+1bvHD9mh5+W7PhIYuzFuXv3IDxc8XqzhYxPQq9izrtbRDxsP Xzs0R1rbJKfDR8kPFE+nG+xPBHarfHugMUzH6Xctd8o/E2CuXJo+nkWH/pB+ MuM/Akf3maxOs6PjTL+qwb4vBB72KYVqy9IhKBVtzSFd8X3mayvXF1EqWs4e X8l8nM/ecOyRL9SnP6wT6CIg520S223ui68/8rwySWf5+nCeiPmCUjgmAA4B 43NFp7IbffDiroZNC2k15daAjwGklerKLboJCE9bS27T9oHO32GjXNKNOUrt unPeyJrhRjv0EIhwGtDiN/aGgcyO28u/EehuKKZb5nhBTn1ffz5pDWb3Lpqg F8pO1h869p3AEpmrV2Md7mDTltTBPtLd7FWfjzbdhjmrSciLSyBY0o+zTuw2 crvomUo8ct61V/X52VsQkx7y7yI9lZ14ZiLHE/QMkbbAXjL+lMzSMoonqDP+ xYp9BDSfME6qmt8EdcXdre9I60Ztm/lS4gGqz6tI234CxZbWn+MkPVDj0Sky S3rNtns9h/xugM90vjhsgMDyCAOmXJk7Fir7thwbJJCTf1Kybvo6tMoZEkuH yHwirLnvwHVUaY03lJAOKWb/ZRxyDe3Kwm52wwRcxwwazO+7wpyPm71/lPTG h8LiHBeUf762vp8gsJQ5+Vwk7jL2Wl+XcBwj8zPxbm5H6SX8ZSIY8GacQCD/ oK226CXIr5RKkJggwDnIfRxk54hR7Yu5DqQHq4dl+6ocoEXTbygiPf74c7eO jAPmF6pmqZNkfPrOdEagPczNG42PkWZGrdHnG7qIpL3LlyaSrvt5SNzZ6CIm 7tiwe0i7Ryjp5ry0g0jVng75KQJPtSI5jxXtcJVHE7xM+kKp1TG9NFuUlDkE 5ZOmRF6xsZawRZsA9fwYaSZVYVlbzAVMy+U/UPpJvkftPF17lw0UborWfyLt RTU7mN1njXyxPs8bvwgI9H2/6vzcCrcLrb2FfhNoeFptISR/DuEi+RHRpO3F Y53SE81B0bVLdZomkG9yojrEzQwpK0erFf8QeNRI9+8pPoU1qR+0TpNmVH+d aaKegrqhx2V/0upmfqmyJ01RreJukEf6zDnX4FcsE7gLvR34SLoyY1bVhd8E TjMvDedJ542stTD3PoljW8sFpGbI/3FA8XP0nDE2rt/3U5O0l/1sFL+3Mczu n//bnLTdHrnJBKoxajbwB3uQdtz/5PLzICMM1ti3xpK+ac1kDK4wQu/R+rMF pC/2TxFbk09AWH2J0nvS9vbru6I3G8JzCzdPbpbACKEu9SjBAGYn517cJN2c MH8vWVoPikd43TWkT1XyndjPOQyGkGqd4BxZX5Z/3a7rrYtLtN0FLqTlJpVU 9EoPIvVMpnwQaZpqR5bVrA5E7JJrUkhvTts0cFBXB0OvB6NekP6+lqtdEqMN atzipLeka3aXH/cd1IKsCYfzlXSJRMHOqQAtHOywKB0g3V02ORolq4Wra18Y T5FukyvzPFZHw5ubZjmUeQLTwk38kg40DA09qxUmPX+lIlp8EQ0p+p3y4qTv Cuy9ZKQGlO8137+ZdGO84ZJbVw9AIGbbYiXSO2MNB6XSNCHcwnyiR3rlN+ev zsP7cJ+9NseW9P8BVimZ8A== "]]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006], Line[CompressedData[" 1:eJwt2Hc4lV8cAHCSnb1D2aNhJYlyz3nLzohsZURkhIokslpSREVGpTIyioZN b5mlIaVrXimrJOvaxO8dv788n+e57nvO93zHea+0e4CV5zoGBgaR9QwM+N+m /k8Rkleo6A1xvrs2PZ7IwR+k7wlmcZ1X9kR6/3d322JARowH4vWTtMV9M9Pn Q0eR6f8dPjpvO3jwKBIxQHqX1V9nvyZ3hG2QNP3VgXfpiDty83/zb+J+96XR Ddk7RFpDc88erZ1uyMj/bmwrjo154ookDZNmMyiQ/bPdFdEdIU3VbakI8XVB hv63wNfShzlXjiCJv0gHvawI039+GNn9m7T5PTYtuxFnhHOU9G1FtlWlFSeE 9r/VLfT5Qjc7IcV/SD+W4xiYt3BEosdI28T8jYy55oBY/yWdtXRdQqDdHpEf Jx3haRj3Rt4emf/ffduVj76KskMWJ/6Px8S26eg3tsjyJOmV+icvuLhtkX9T pOMyHPWsPW2QtWnS5ZVf4o82HUIYZ/6Ph2Z5vI/aIYRplrT/9N/AwofWCPMc 6b3X3t6JkLBGkHnSHyoraCtRVkjkAmnfYf9XvBMHkZpF0uOO9+1pngeRxSXS qP4di6xBS0RrhfTb9CWNJz6WyKl/pId/tS22j1sgJaukp+RzN94TtEC0GFoJ 26E+EZUi5kgNI+nGw75Xjm8xQxAm0stjux8ZmR5A3q4n/cDnd9nGs6aIOQvp dyNd1s3PTZB2VtJWq7UfD80bI47s/3/fb2nZQX1jRIeTtLi5eDIINUI2cpE+ CK0OG5UbIkvcpLn63td2Mhoi3byk90o8Kpq0NUCq+ElHfWuSKirVR9IFSaMq E4JAUh8JEyat949rx/y1/chbUdKe0voHXg/tQ4TFSQfW1VZQjfYhHpKkPXjK WcxLEeT5ZtKPioS1bLYgCIMMafmcd10aeRAxlyNtfpbeA7dCJFOBNN+Zorfj pQAJUiZtLNdwaW47QAy2kd5wRTOt1pmCiKuSPuVu9eSTnx4yqU56/8U7Hh+u 7kUaNUkrRgerxZXuQdJ3keaNaElZ+KOLBOiQLgbnWrZs10X+7CVtEdDpxWGp g3hB0qU26/PionYjA/tJC8OS7oBabcTFiLSZj3PWY2ZtpMeU9LSLTZ2e/S7E zoJ0+sZ/k3YvtZCvVqTDU5lV1MW0EAk70gb6VmbunjsRTyfSc8Utrnk1mshT F9JnhkYV123SROaPkk44Mj+YdGUHArxJlxvU7Uhc1kDi/EgvdEQnGoVoIF8C /z9fV/vjmxfUEZEQ0pfDDFJ/e6ojzudIRyfFfS7tVUMeRJF+/7DQttRJDRm+ SHrsXGm7e4MqsjWetIPNyS8831WQwBukd9fzzliyqCClt0l/vrPgLLd7O6KW Sfq8ovB1Z9NtSOFD0if2Qg5dv62IQj5pelZ6ekD6FuRBMelY648cbe3KiEQZ 6VoH9yd2G5WR1Jr/46eS+kbURwnhrycdmnwtDalXRDjek4Z+YhO/GBWRdV9J 35T3aA09oIAsdZOWjPn0tf+BPNavScfcPn9QlVEeGR0lzTzy+/v143LIz2nS hmwPMvZ2yyLdS6TlMp6vv2Uli+St/0w4IO6UulOpDHKam/T3LHWRL9IyCBQl PTBq67kxVRrhliG9jEikBQhKIz1bSUstSzjKpkkhj3eSvrX6LyBdTgoJppCu OLnD/5bfZiTGlLTvtc0ig36bkEQ70udjq6JnwiWRzKOkpcevSjlnSCD5AaQ5 RHmP9DSJI2XnSC8M/iuxXd2I1F8mHcXgW9AGNiKfb5J+k/26zee6GPLwIekf VWr7o2tFkdPPSAuYs4wfWxJBDF6Tthy1aZtFRBDRVtJW6Z94tqQII6O0/9cv xCAuSRdCasZIb1rgLmZ0EEISlkm/N6o4LdUsiLzlaiPrczDWkneTILJOivS0 bmKeT6QAskeD9OGFvz5glB8J2U9asJHZ9NVhfqTElnRJwfJHpS4+ZNSbNLdR DUeXEx8id450iiLv2O4hXiQhifSvi2tdr514kYU80vamK+xRpTyI+yvS1ZVv +UfruJEP7aTHghQVvfu4EK0/pHtPCh59x8KFZDF+IbyqdvfQqs4GhEOUtMbX xcuCYZxIxg7SWcgX65h0DmSbBWnmcbpF2Vt2pNaHdMuwnONpJnbE/BJp7hMl jDnGbMj3B6TP9P5ytExnRQJrSYtctC1Km2FBGLtIh1e2tlbbsSAjS6T3vfHg mnzAjHyU+ErOKx3jNLv59cgLPdKZqNfRKdv1SJor6ehjC+rdKBMSGUN63izS z0idCfHMJt359H3qlYJ1iGkT6fKNiMfSlnXI8gRp7cs5TQqpjEihWDvhHImW 5yc2MCJO+0gXPJGQZrzKgHD6k0a4Rc3keRiQ6hTS6+8w3TyhtQZ9X5PetUvZ 2MRpFYqPkqYKAJau+H/QVfIb4Zlj9UhgxgrMsSQt66WBdFQuw9FY0tozEgJV Q0tQtZx0aD3P7jHJJXh6lHSjj43EUbdFWClJJfzM9N1R9eIFuGpJOuWoFG8s ywLkvEH61UKoGsu+eSjaSlqYUTX5VvwclOfuIPx064+3Yt9noYYZacfONxEP 9sxCyjXSz06E/rZ6NAMPvCftOWG3wZ9/BjpwdJLrNxuK3RdHhwN2pH0aJqrM Rqehfw7pDJUxQVmbaTg/TXpaWvjDz7dTMBp0Ed7pEqnetH8KciaQrvCyW5N4 Owlv95DueT+vb2I1CTcrd5P5eLfsWWzjBAy7QvrugEblWt04/DZCerAqU/j4 579QzbCHcOIWip7V2BiMzyX9ilmGP1RoDA4z9xJma700XG3yB0JP0vkhojGb 4kdhZgNpNUbZ8epvv+GP3TSyP36fmLnI9BsqFJN+EdBwap/eL+gr10fme07h tvcXRmBJGun0UZqbMHUYznJ/Jyxqd3xBV30Y6lwg/afngpff7SEYuUj6Fthw cJxxCJbF9RO+lC38cs12EP4V+0F4dPvAhrSyAShXQNpPbibv7eYB6KTzk/DJ HTnfK5J+wuQW0kbbLikWcf6E7xwHCCfFyrxavPYDMvwhPTlt84tD6Ad0yhwk LL/G3rjhaj8sMxsi3C+1q+Meaz/kWyPt5LJ5y6LYd+hXMkzO5+OH4iY1+mCz 2wjZ3/0U4ybsaVBG4BeZ7698yweu9sKIBtLrtm6f7mjugWn3fpPnl+/A+HGo G5aGjpL9qcl7TzFfN2yz+kN4eNBvHcWkC/7dNkb4+FXqe7eETsjO+pfwwfcH JyRoHVD+B+mVygokaWcHhNXj/8/TsaD5FCoMb54g7CZwe7vy92+w/Osk4Wzo N/pE4xuc/j5FONCB+jr6RjvcPjZNzpOZOfqr+a/Qe4FOeFawuSTN6yt8tH6W PF9+6Sjn719gH+8c2c/qSg94HvkCaxznCbOHB1tOvG2D6dkLZL/eH5f9dE8b DB1fJOfPx7dTrRWfoa32MuE94/Xed/Z8hpoxK4SHHj+405DQCvk//CPjFakn rvnsE5wUWiPM6iT75sz3jzCjkOE8sX+bqLRjYx+gAVxHOGTu32YLtg9wispE WEha+EGX+nuY6cdMeAEdNaN6tUDDdayEF/8ZZu7KfwenU9kIf283v8k1+xbe 3c5B+DNzZU+0yVsYLbWBcH69WlXPhWboKcBNmDeUZ9L9fRM0ZuElHPH94ToG ySa4fZGPsMNs2kh1aCPkGxMgfC5P9GQ1rQHO9gkRFgzQjdI1bYBdbSKE+0fy mq+/roeuuzYSVs4slqRurocjmRKEP/7eYc4cVwdPrNtMuG+/mYj28hs46yVN 2NP6dWpO8BsY/lGW8HXL3pSM+deQaYcC4cPb2r3PRb2GV+8oEaZe8jtUzvMa csVvJcw++IuLZyMKb0SoEE7abdX7Tu4VFAhUJ+yU0R6xXa8WprhrEmZMZ0Do HjVQzGYX4QmjpoOLqdUw01CHMOvk+Qd7qVVws85ewpZepqVdm6rg+m5A2FpU vtXSpBL+Pruf8LwVwtYfUwE/iRkR7s0J6nJsLocvKk0JP3K2vlsuXA7vOFgQ /qC7N4cjsAxGLFoR/nd8g2TMl1LonmZLeN2f1TT3vaUwituJfN5tWZ0bN17C e7EuhNfnLt09Ov4C1iwcJSyxc8nzl80L2O3vTfjbkY5Eg6bncOGnH+FQ0eKQ V3rPobB9EOGmNyfP5bx6BjU/BhMulvPSPqr/DF41Okd4CdSV9VSUwP76KDI/ HTpyVzRLoBblEmE0WjdnNagYXquKJxx0hFHZ+8pT+HNnEuGL+59uXy18ArWf pZDx1jysXdhTBBO2ZRL+mWEXdEa4CB4efUi4hVmicUy9EG57nE8451jJ0xCn ArjsWUI4GElc/yUpH7bIlhOe23xj84+vj2Haj1rCYozzN3KlHkPv+w1kfr1m LQdn8uCuw+8JX46PYR+m5sL0vK9kvi9L3uSRzIX/pnrIfGKL2FJ0Ige67hkk 89v1FFtpSzasvzRG+DzvzBBUy4YKbTOE/+puKr5w7xGME/9H+HjN7j+Ngo/g mCdzJG6zO5Qqt+SHkOkOD+ETdRbo/uUHcGOLGGE1IR25M/4PoPqKLGHBtjJd 2V9Z0EhFhfAM9aH8NZ8s6OKqTfhA++X7gr/uw5BkhLBVoZMAH9t9eL3hAGGd 5lg5Js170NfcgXCaxWYBRO8uNO70JPzp9wu+HLtMqOh+krDN9XVZn89nQOax 84Rzgp1uJj1PhwPB8YSbVl4e65hKg2/WUglLJLKFFeumwftx2YQ1M0+KwMQ7 UGT2BeGW8j0pvs2pMNG1njBP78TPIc5UyPrhC+EzuT99bzulwMhdPwmHxWT4 RpXehvMPpwifC582eid6GwZwM0YR/S6tvrLgwi04cpaX8AerwEunF27C0EBZ wk6RuuvmbG5Cdi8twjsWI4+E1SbD9MPGhBfTtlDFVZLh1kPOhMcDz1nw5CXB GpMAwuHnDqdlKSZBMxhDWHeObqBafAP27bpNWP7GKNe2vTfgQlwRYRbJb82C JxMhf289Yf8NKoFiYQlwm0oPuZ7+R96TN65Dg6hpwi65OzwsSq9B1y/s0bj3 lsXa8Q3HwzA5acLPTe47q8vEw1sh2oTd2Bx9m7yvwkQ5G8LF6RfWDybFwatf gki///Ne7+0VeDEqgTB7ZftILscVGKVSSPjKMHc9j/1leK63mfC+2DGB+OJL MOTqIOEvUSdf7ue9BIO0GWOI8zE4rRh59iK8FiFHGGm/WVjfcgHm1RkSvrTl mdAHhQuwjtWXMGTOtXpwLRbSDiQQdo1tW/FejoELSc8I7zg8Yel2MgYKdLQT DuHm+UibjIYqEguEX7EoOu8PiYZi4bKxuNdqemVUf0XB9b3mhD1uyfd2u0fB Cd0wwlc7VSj/WiJhd0YO4R0r65+09Z2HjcufCbNI+AzOr0XAEqcVwvs9tzjY bY+AGdWKF3CX7JcOmfUMh5IChwmLvZtYHjh/Dt73SSYcqsMxxZ0bBqXrmgkv FVqlqXafhY/E/hH+ZaomL7/xLJQP0rhI7H9dnv2ERyjMe+tFeE+pt0BB5Rmo LHWXcLVCZ3KcyBmYUtlH+JiuwpYcpxDIZC11CbefzAWtQ4XBMHDMjbCJHT/7 deZgSLv4iDBrn/s7j+OnocnmIcIPRBwlOKmnYHmFwmXcf7LWoptMTkE5K2/C vHtjTKaaTsKE1QrC212rHimpnIQLBexXiH7RIVz27l4QdLdzJLxz980zKyJB 8ANTIeGuxqgpxrRAqFWyTHjPOs9yNelAmOV8II7IL50dQwMuAZCD/S5h9fTa toi4E1CTwnCVqI/nebrMSf7wSPBRwjoWTok9eX7wSmETYcucTcEPPvjC5z+U 44n9i407S636wF6R64TR3LBX+3V9IIv5JGH+awKmYrHHodoF62u43z+OGalr 94aPLn0k/OP2mY5yDm8oHGd4Hbc72zH/zWZeMC7+DeGJDePzPenH4Mp13QSi H7M+H5+c9oQBN0oJhy276Z8/5Al/JqsmEvOW4XxszSsPaHM7n7DX/NPzi2oe UP0B5QZuvStDosXXjkKuJ98I36QP/4qddoe/K3yTcHtb2N1PdHOHjQ2MyUT9 2j8eWN/lBh98TiVs8/TDpe32bjCid/tN3MJ+/TZefa7Q4Vc94R2lLEHSvq5w /ET4LdwXqlzyBN67wNhZzdvEfh7yRjh+PgJFw/8Srve0vX138DB8si43Bbe2 i+tKAsthiMQdScWd7R56nGWnM6TyiNzB/fW5oeDKCSfok9JKuLhe0u3CC0fI fOF5GrFeqy1fYbcDzAq6nY7bd9H+jxu3A9R1Cc3AnRu8cuqZuT2kHnDKxH1U v+67VLodDNLRu0v0L6Y7CDphCzcoSd/DnVomuqnM3BbmCa2/Tzx/U2uvfpkN fKoknoV7cvRGbwazDXypq/EAN+XoxO52l0Owytz4Ie7HaJTCbL01fO3m+gj3 k5CrX6TVrWHT6TPZRLzRY7YpuVbww+WEHNzLsX8Ms2WtYFt6Ti5Rf+bLtOK8 g7Dz00oe0d9+OlxmEz0I+9Ydysc99ubKb50kSzioVVhA7H88ZuAcvyUc9VlX RORL9FKrqpYFnLzn8AQ316PyQ98PmcPZLyVPiX62wF48GmkGl1jYSoj1M2Ze OFR2AEaIPn2GO+h3qVDpB1PIsOXQC9ynrYNdw6ZMYIzu0kvcZd+YNjjKmsD1 ZllluJn0PUXU3IzhpSMGFUQ/YPAPWsw3gqyBY5XEfu4pn25dMYRXopOrcYuf s5QYtDeEI4lptbi1Au5N/kk3gPr3slDc+rsE/uX90ocPi/Le4B6u/v6QE+rD taqn9bg9z/0NVH60Hzq9K23ErTAT+EqFez8s66hpJvoHLWjVJXof5Buuf4e7 1EGjSGgFga91kA+4ex0Y72e6IfBE4utPuP9ODo/nfYZQfFCvjeifUydUDhtB 2Kxd+5XIB9lTJsvNAJ68rkslzld4YY5qDqDEz8pOIv9T+z2KKyiwUUu7B/do asbV0e960ETHuA+36mZm9PngXvhpr+MPIt7PwtRmF/ZAS+g7SMRT5ke2ufge +Hl/+Ajud0V6khdNdKGF0fVRIj+FTzHHXNSBH0zv/cV9ue+yvdn73dDIongS 96l/Sons4rvh+bLTM7ivKxgV15lrw2eSOgu4V4x1SvgSd8GfF9aWcR8+wlHx rVsL8o41rOE2k806xaOuBfdYX2XahDkyM9G598ZOeKzKghU3T/SHxpOLmvC6 tBAn7knR19c2+WhCWdcKHtyiLcGqTA07YOk9J0Hcf9FHT2SVdsB9tFVR3E+e +ivcvq0BP4k/lMRdqSm8cplTA9o46svgntg3sbwvTh123vmlgPti3noleW51 aN8RvxX3tpdBLGlpajB4hKKO+/4Yu/VlfjV4bZ6uhbulzXs4UVEV3mN9vAf3 tN/7L7t2q8ACEWcEN/2pbtNL++3wmSKvEW7qoyD1ngvb4PNdDWa4WU7EuGXV bIVPDUOtcTc+H9ksvLYFGnafc8TNWT1Q4ie7BXb4RboRn88zbjG1UYYuazHe uNkyf38Ov6kEvyddCsB9tr5H62+vIrSVuxqC2zxky7F8NUXYWHY9AvfPTU7R ndcV4DbjpAu48/9VtVfQ5eHGM+rXcR872tyxEcrD5ey227itDB+wnE+Tg5+/ BN3DfW2krXVoWRbeYeDPw/2g+tH0SS9ZeEjleTFuLv9ZZ5ceGcjkbFWBu19h tmzJVgbmxk2/xt154M75vC5pKCKb8B53nvn71ONG0jC4RpmKW1U0OmTTayn4 2qaxHzfvprqqBYoUXBx3/YM79PXGsosJm+HmKyuzuMvC3yWWF2yCGtJ3GDZj Pvny4m7vr5JQo2oHJ+7YpwPxqayS8Js9RRS37v0/f9zFJaDTvIk8bouQ/Lrq veKw4batBu4iG23eQ/4bIZ+mOwX3SweRtPX5YhB+8T+Am7fn84nmCVF4KPCs A26UJfPICyAKTbgvHsMdeZ1/00K6CBwXvhGC28aGemC4Wxge25xxCbeUC2jP VxCGLxRzU3A7sctL7ogQgt9Un+Xi5t92SDiZJgjf76opwz3rXlk3ZSAIUyjN TbgHWyNiblUIwJ2GX6i44/Mq5z6rC8BJvuujuIU8Wyof3uaHx3sNV3GrqS++ E2Dih1m56/ilMFs3xlgYnuWDKYG18rgj35YLhs3zYv0idDfumKKqX6vhvLCG aYcZ7qMvzdJ12Xnh3w9/XXE7fLzXf2AXDzy2S/0s8fkXasLmu7lh+IPTSbjV 0rjtZ024oApnRT7ug9Ox53t8NsCI08tvcPuJV/LVp3LC4zS9btxfTs16J3/m gNP6MdO4mcRV3pgLckCRp40c0vh5oIubRd3ZoZZvphJuWa/3GxNvskFU8ZQB br3SwyloGyt8NmDsgXudy8qli+KskOu+VAxu1czapr4AFvjVYf4+bsfMcbPh j8yQSfBTLe6DuqmanzWZ4d2P2T24fzxTdxx+tB6OddoyyFzBf38/2DezzATt B9jkcZv4cmg5H2GC/WNVxrgLAqNGVFrWwYuzfidwc7puYc/QWwcN/226ifvQ Mu3IcBUjVFjfVo5b4KPbRl89RijDEduLm+mqnOzttwywuuYRuyx+vvpnlZgB A/zn36CFW19BSupV5BoYkRw6ijueVSmyPmEVhH1gTsLNmc3K1Vj4D5SeVXiF uzLRYvTmtxWQJm/4B3ep70qgDOcKkP/sJSqHnyf/xreRpstgTH3EAndbZnSO t/8SKEw6dhm31Y0kJ4a7i+DoxNAr3F82Xv6+oWsBCJh6zuHOzmNOD5VaADXZ g9vlMe/mdNxndnIeHFk56olbPGIptfjjHFg4OJCJe6crivaozwF3T9kfuN9G V2vvj5gFVcFH5RUwp2lmM3/8OgMYYx8dx10v/+xdiOYM0Lo+8AS3b+uv9y73 6MDxluw07u339rxDeenA785RLUXM6n5hIYNXp4Ff2qMw3Azfkm6qbJgGPfHJ n3DnK+ek2pydAjlno2WUMCf2JpVfmZgE790DQ3BzSN43W/CfBGaGLi24k0RU M7tGJsBWRfNNypg9sjPrLjFOAM91e0/i3nhvrxhVcRwsd25twh0iqf6oweEv cNzlsX0LPj+264XQfcbAy4TMW7hPNvbMdl79A9i/ty/jvi/fFSBbMQoclLiO bsX7+UYzj8dTv0G2j34LbtbWmtUjWr/BaE6E+jbMt8PenXG6+Ats7S69g1vX mWvXe9oIyNiaK7Idz+fT6+vSxEeA/8mUFNxpb1yVXTyHwcOnl4RU8PwVNG1n qxoCu/tDbuGu5DJlzxYdAhqsXgKq+P6XWwIcogZBgqxdMm5JnhLz45MD4MBO Qz41/PwldnspeQ+Ab0/dn+COM0wXBS0/gaXoeWN1fJ7v6LXn1/oJaoPShnAH XlDtQwt+AInql9EaeL9PuGEcq/gD+M+0Su7AzB6LRD4p7Aclkn8qcSuiHGkP tfrBkBaLrSZev8JrT58mfger9xiEd+Lz5KL2ZH9CH2gdX/qGW/fB/M2huzRg rzB7Wwuzt9260IPVvSBNf8JmF2b3p+ZZA0M9IPnAbyFtvH8IJ+tHSvSAfboD 33B3RfXSFI50gyI+2u3deP6m0Ojz+V1AyHMmWgczc3SvqUJXJ2i6yXlCF/PK KQdNDaFO8OqujOMe/Lxd2TxnnDvAv5jdBnvxevAr7vEqpoLYfZYaepg/OK6w 5HBSgeX3Y5so+Dy+9qSGFvgNeNhGcADMpivNHQ597SDHtn0bxDy5+8rUNc12 4Lx5qwWCeVl6eYfW7a/gakl00D7MBvs3xXqufQEqHJ0392O+W5XxwODkF2C8 TaVMH58/F5oRyb9toFv4QqcB5hlZ+hsY0AZ+vutaMsQsL+LtvmnhM1iwHXEx xrypzvgj54nPgPfGTIMJXo9M1/7OdrYC5WDGLQcw+0T/oRwc+gT2s3AnmuH5 ckHM6/PaR+C2b+OMOd7PXDMUoeJHELVNwcESc3JMPy3Z8QN48Eb91UHMG+AB 5i933gORBuNgazw/5LklDSpawCVDt202eDyfbu5PHHoHxk1DB2zx+vL71hS0 +R2waEtIt8fnA1OD3FePtyC/I/ugI56/lnZzVS+bwcqRKjZnzM2feONMuZuB sVcrehjv158iOl8FNoHLiu97XDD/VBBfVaxqBI8Vm+bd8Hjl/uFq424ERV6v BTwwc2dZtpf7N4BbI5WqxzAXB3EJL3yrB655z029Mb/zCrBtNqgHvHkFXj6Y FwT2WQShdSBn+EGsH+asldrlQ5Q6EM9cLB6AmU2lYltvwRswzFj9Igifr1FJ 2+M2vwHlPY2mpzG/Fmxku5r5Gqwmtw6E4PWuVqEoL/0a1Ch2njuLOSWXscnX AQVTad8FwvF4b7pgYB3xCtz/PVR4Hs+nJF76UlEtmP96oTcas70UPeBidQ34 xSLDdRF//h5qwGRnNTgVU7v3Cub0Ewnhw0zVIN3A7kQ83n/vXq7brVsFjlhP 3EvAXLLCEtYXUQnQxxdbkzBXjSXrDrdUgNcGGxluY9Y5+1I4XLoCrDLajd3B /LhyV4rc4XJQJpfUmYnHAy1iGM4uA3+evm3Iwvyk61thwXwpuJf1ryQbs/HL 40oRh0rBl0XVu48xz8fdK4utegniqlziivD11P89u6L0EjT9vBZcglnqw08T nfsvQGF8pFEp5tTP3g+T156DVMMT4lWYP43k73tz/DlIEHYYf4W5Wi7XY7D3 Gbi5QHlTj7lGbDBQ0/4ZKPorc+st3n9Lre0YekpA7yyj10e8nj2fnSrwKAFK fLTdXzCv2tAmTX8Xg2z/GKVOzMq19KjcoafAtFtapA+z9Iat9xmmnwB5u2rm Qcxz1TxCfzY8ATqD5jO/8fOj+xyQ3lkEkqN7f07g9Xf3/IHY44VAU9WjbRaz E33LS978AqD8dwhdxtz3Ufzi4HQ+0N7iwckUR0VbRV4s1m3OB91+XbYcmH8f OPfhkcNjIFmq/5AP80fNOVfn+3mAhyn/ryjm0PNhDYMTueC1LdNuKczOod0t Via5QK/k0AVFzJvbyhe+PckBd3jutqpgzi1vF3kplgMOWHC93YV50+O2auYT 2UBpOeA1wOzPfvHKnw+PgJFAY4Ux5ra/3/NP7nwEmlM3PLPCPD0uE96Q+xC8 uWKQ74T5LZdusozUQ2A5fPKBB+alKvejA1kPQFJJUpo/5nemjLEBSg9AY5rf g1DMGmnR+75lZoHHSxr5sZjtS9x0vollAf+vgyUJmDt7Dny33nsfGMnFVKRh Pn6lsNjY5h7w+cvxOhuzV1SNmm3YXcCiGtlcjDnZnPuxZ2EmOPi771MV5m7t u63RIxlAS03d5S1mJZ+B9ND1GSDYx2PiG+YQzXeM/qrp4MSd0MgBzPFVC52S XmkgssqfZwqzvqi6XkDBHcDStu/+KubUJHlbz4VUcLR3SWXDVay/tD8c2WyZ CmZ6k1+JYT696fYTakkKgIsKflswF4c/19+9cBv0SV8T08Vs9yvYa8XkNjhn V9dkilnu2vmBjY9vgXfp7045Y/5xVJ72hPsWCB17IOWPmeVRUeyviJtgl5np xwjMF197RQrOJoOK2sazCZhrjzygJ5xKBsXMYcsPMYtv51IIpCWBUPOR8HLM aoP97UmWScA5jWv1PWbGxcOpmz/cAA9Hxs73Y04eU3l62OIGuKlzcW0Gc1/n Tz7TF4ng9E1qJHs8Fd1VZlDT2J4ArtP71yQxF2uJhMqsSwB2Af5auzBPVXsz rHJdB0hSgp8lZnkz4YohpWug2Gn/w+OY69muSUUdjAcMbQkdMZhZHzJ3ZVy6 ClLo/hsyMcMHi7PKzXHgc+MPUIp5K0uRwW7+OMBjMnr6E+bkrpsu08euAKft 3qf/YlZ9Q83wzboMsl/vO7XhGpbf688kSQ9fAvZsEUFbMWuIOyPLWpfADzbB ABPM/HY5BxmSL4InTWx+xzE3vLE6fmjuApA3cPK+gvnNvUK3HUcvgPJ4To88 zE2FdWzjHbFgpelB5EfMv+3Lp89rxYKjmUg6HXNlkWoi0/0YICc4/kLsOlaf b6WtU3ljQKhW9gcK5mMX9+kFXo0Gdzg9Bz0xi3GelOjhjAaVGWrL8ZhvfKj0 0L4VBQQnWPieYx6ef5i+KBMFUCXN3/2Y62RZ33lRIoHmsXGUJ4GKnjm3zWaD 8XlQU7bzth7mtSvTPP5uEeCuMsdxf8zZ1IQj8HI4kP7kq5uJuSv3cK1n5Tlw +YXjhveYLZZvPabOhQHR39SeRcx6GbP2RXphQKDjd8COROz93O6JrMrxs8Bt 6T2jP+YVNyXYnRUKfAIiknIx3ziA7osZPAOSrFY39WOej/j6feOOM0DvtXmB 2A2sn7y7NVcWHwJa2k/ssMb81+hqUOzfYJBWdKTqGuZNNlkt9XbB4Mmtloiv mHV8zQKVCk6DI/3DezcmYfvdp2GFsJ4GpxteLLli/qs35y1+4hQoCVZ/mYeZ ayxoXzftJOhUcvUZx/xzDv1Xa3MSpPEDyZ3J2P28Q/fnxm9B4JlX24dzmD/2 jaXYOQWBiJLtb75gVvGDyls/BYI61rgS5ZtY/sl7+780DgQ3WwfSozAb1M0H 2qYHgMnjelEdmL8bKRvUFp8A37XTXFVuYfM4aDHq6Bd/sPfejO5F3E6Rr9UZ /cHasiV/L+a8R6IXVHT9wEmOhWGD21R0//6Rx7dsfMGG+zwvn2Ee11MwVDjv A+YD7pyVSMHepy4G3bv74jjYs+PmrsuYyxa0P3bPeIP+ewzjU5h1i7LP9AFv 8Nj7R6ZzKhVtNP9i0ZjiBQIMtPY3Y35YamDfMHsM+GdmhZvcoaK008z+3LrH wIzE/fyPmGvzVWO/x3uCAxt3vLdMw/pXqFiUyogHODN8+MdXzAN7+iT5DniA I1+lxmzTsfOzdrpRXnkUhGhE/OnCvGf+zQ9v1aNgv83p784ZVHRLb9dwZJE7 cNNPZVzF/MGpwbxA0B3sDw3jv59JRSWkL+XuvOQG+t2k+MFd7D4uKSVnwuAG 0oLjGX5gXrFmFVOOcQXnFV7Rou9RUe1r1Z7KnK7g7XBVvsx9KnrHkJHl+E4X kKF0waMe8w2vQK4rrkfA1blHanFZ2H3jmfW628cPg3zmyp/mD7B69v+9byja GSgNNIcJPsT2L5wRJPbYCfzb+G2hC7Nf+DP+5W5HsFd7yPn+I2y9DTEfQ8Qc gW3DSq5HNhU9df9Jcqq7A9A1kupQzqGi162nkmJK7YGcYu5ViVzsfrK0fP/p mB2IauwT5smjojZMbxIM1OyA9q0v5xgfU9GX+SWa2yJtwVnGq5V0zB+bnF+5 d9oAw7Ncn4fyqahoLW2OXdcGGHl4oh0FVDRH6oidY+4hEK+cfvldIRUNn1Ko fiB2CHRNXdtGL8L2N87yyTzEGvgua6VIPMXeTx/1AFGaFVD9k9egX4y9j/Yk TwmaWYFll4nyEyXYej/eHgtpPAj86RKBqc+weWxoe/Oy/kGwSRv8RZ9j/dc/ yjP7gyUwq/FW/fUCu5+rR1nucbQEEXP8S4dKsfvBxnNybQUWgF572PdNGba/ kU1BWc/MgTXnsdjtFdj72L1zUT7NZiDrnRGSVklFS/0Kc7+PHgDXOmQer6/G 7sc+L42oGw+AuvV8pQE12Px93p6pb2sKVoXUjnfXYv1o7agBzDQBwXzb5dNQ KirUWTCm0WAMpL5cdrR7Q0UX9+2Vub5oBFymgtmF6qno0Aluxo26RmDi9zaN Lw1UVHMbe3fzZUMwJ/azPaEJW2+iBl92nwH4+6plyuQtNg/Lgr5S9QxA37J4 HEsLFU1wZo26n6cP6tUshZU/YO+bOQt7huf3gxadn50mn7B8urkWLGa9H4TJ 72zz/UxFo2zmTPZU7ANu5YVr8V+oaKFO5OkAhX3AKvixR2E7Fe3hX+P+m4kA k8zrDC1UKvpZaFWEWRwBLFtrv450Yt9/7e35jVkQfKs79jy2B5t/7NUZ2/kg sBHyc93Uh903NgUsKMYD8H0wtq+8H3tfrZvj1+UCIN7eY7vlAHbf5kOg23YK CGCsNxsZws7zp5HWJzM9kNN2CET8oqJJeTde3w3bC7Zu/cTM/4eKPnXuu9X6 fA+A/afGwTgVFRHsUjdv0QUzSeVcJ6aoqMOeIhGrSR2gMPDbI22GinJ+WV8Y J6sDssUcZ+vmsftu/thqi/tuwKho+3p0iYrGjPVu4X6iDRoytjTzrlLRF3JT Sd6M2qD3lQznTsYOVDBtZZLNZRe4ZFkYJ8TcgcawbTYdfaAFtvDkONLZOtBG jpbW7MmdgK08LOrThg40R65IS85kJ9Cavfkvl7cDvVMO355+ogn8z9i0hwt2 oO4nM1++EtMEXd1SrJaiHejfZBl1JGEHYP9y6I6URAeaOWqjc4hjB5j88+Ac VaoD679x07GBGmC2s+LwFfkOVN7+1IBLvzpQP8W6T2tLB/qW36Cc2UEdSL6a Ue1X6UA1rlF7n3SpgYr1P5Qu7ehAd3JmFue5qQGRJnkNJe0ONDXw1pWiflVw a0bIsmlPByrUzRjmxKEK2pX/uIYiHejR5jCvHF4VIH668LycUQdawOme8lRh O0iJcHvWYtaBXuYbzGc23QYOdrIx+lp3oLOzLtye4VtBh1ZCMLNDB+pruK2o qHILkPRtFU4/0oE+3/TncS/jFkBvzBhT8sDicb2Ahe+QMph2oLV+9OlAk5nN tkcmKoHHHU8DfYI6UH51syKGDkVg/H5f7+qZDtTiYV94tLIiSH35fHP8+Q6U 73ZkNNclBWCkMGvIc7EDHfS14PjwRx48P/HLLT6+A9278EpkxUEeuFPUvMxu dqBq+rz0rpdyIOVjzV+mjA7Uem9RyR8xOWD+z4Kz+GEHyp4I/xhckQVa4NQ3 84IOtG+qIFRiTQa0bwh1G3jWgVK6x5JeRsiAINGzDX6VHejru6r3fZlkgP4j 1bmTdR3oppT7HypCpcE1k8mdx993oObZOUO5c1Ig8d3JPIv2DnQ52CHyRLgU qPjAeEKB1oHOZyyec2GXAuJIeNHfoQ40+plLaPXuzeBFjd3FnPEOtHUqtKbG bxOYiNNMEl3sQF9MKXz8HCsJ1HNWbgUzdaK6Da9BdL4EONLB/b6GqxNVkWFj D+sVB2I3FvzGRTrRiH3/RBPFxUGW1tkXHDKdqLrn9SdlnhvB18VLVL5tnWhj h8T19VViQN0+3GyjdifqWGbVe3lOFBy6k3Zm/f5ONArr1/4UUZAwX//is0Un arB8T+PWTRFwveagS6RTJ7ruod7hpSlhoC7GT+X16kT/NNxprHUQBj+E7U5e PNmJPpLcJinUIgRu5evwGEd1osb0Z91SCkJgxr9BZ+B6J3qNu+ZQyTVB4LXT KuFQRieq3xDs3rIiAH5kWmTdfdyJCrC3P7kZLAA+ihqtR0s7UW5jzSMmc/xA oGDZpLKuE/3qbRaNnOcHt1kVx22/dKIZhnczhmb4gEpCHqz50YmavhNyPHua D3yXfa47OtmJrhqfDlZc4QX7EuY+/FjrRN9ev3lrRzwvcM5t7n/E3YVGXrod MS/FC9qfGxxWl+xCFU7J9aNneUDrY3G3apUuVKhUJmDqJjdA5c+cW6R0oaO7 eMIP13KBoM3pmn8tu9ACGwHx5JkN4KzNZY47bl3oZu295SbaG4DosGPQclAX 2ufTcOj4ZU5wtzH7q2hMFzrWobtuqp8D3BsasLp+uwt1kbccUJbmAKWWDiGZ j7vQEOkYabcT7MDaJynfqLoLPbubaZNtMxtgQoz1b33sQlUFjkhMbmEDYQ+V b0R/70IZLnroad9hBV9tY1D+qS406Y198iFuVlBpX/rEkqUb3WJrXv/jBAvY Qaf+YhPvRtd25bjEdTNj57FvN0W1G33sL+ypackMWEd36M8j3agto8jmiU/r wdBhg2RN2270QPFSzYDNehBxcuXSknc3GijR89NmkAn4PU/sz43sRp/IXjD5 5soEuoHgydzb3ahhAveFt8PrgLlfP8taAfb8ndoX9gavA62NtdvL0G5U4Kyv lxvnOuAyw7Kn7Ws3+l7bJeXcY0Zgp3vf0makG/UIOfvptykjUIkaa2Ff7UZn 9jfk6Q4yAK2DNd50gR50XfwrVY4LDOBHTOGcmHIP+vJXBcudLQxg7SscvrC3 B+1RfFUY+XSN0rpLyVr3YA8qICeg94N/jdKdaJ+k6N2DOmcJF8t7rFLenR33 kT7fg7J/Siy/U/eP4jvlVbLjZg/aW2k4M7jtH2XESeaRd14P2ikUpv7jwQrF qcBv9V1VDzrClR8dJ7VCWXXJO3igrQftoGRuWU5YplQXLDO8GO5Blee+HmZm X6akKD77smG5BzX3LZM6dX2JUtzm/tSLuxe9suGhnbb4EqXgUU7RZ6le9K/S VT3fZ4sUlSfX8+W1etG4r8zbFHUWKWN/pON3mfSi3COnE3k+LlA4pJs3bTzc iwrt5LnAeXyB4moX2fP9RC8anv5PS4lrgRJ0r3QlLbIXzSoUfppcMU9Z2mxZ Opzci3Lu7qVudZinGJ36qvo5uxc9ciN796N185QgGXmjwNJeVOJF69GFF3OU tl8TX/saelEx7633zf3mKJ1fFD+rf+1FndK/zQxvmaM8YbrWmjTQi9pX/eJ1 +zFLEa4up52f7kXD2sfyT92fpZxxR+zEGGhobTNyYKfHLMX01/Gs8xtoqIG5 j2Sfyizl1yNa4DsRGhr+/Jhw3eoMJVzos9w2ORq6q7929FTLDOWqW42CtioN HasVOi+TOUO58VX1Oe9uGmottb6H49QMRfimx/5vkIYe6mbLvmQ+QxlxfcH6 0JiGBm7YrcCqMkPhqWHVuGFJQ9dm7bz5+GYodVk37MpsaeimI0prOvN0Svm3 2RdKzjR0p2H2WcV+OuV37ne/RVdsPR3nd116T6eUZVpbbPOgoUvxji9ya+kU C6v9fkJeNPQShVLUV4J9vqrXquo4Da0piBkVzqFTPPnL5KT8aOjInlELnXQ6 haLPl2V6goY65/9K23mDTkmeC3vZjbm403Ax9TqdMqt+9L1nAA3l6DJcYYun U9ydTiyNYX4SJmR25QqdYjX13DYwkIa6KlndEbpEp9Rui9kfgfnSPr2nHRfp FAH7OqWrmD/JbxhJw9z1JJQpFXPk3jzEGfNpjpMn7mJ2uyh/di/mwL0cHY8w X/xzsGIT5lNNTgYFmB9GvGhbu0CnDO82eFGCuXpHJ70fs8c+8yu1mL0yHho/ wrxpF2rdgpk1xaPOE/PVw/eEOjCPu7MfUcIcQD9271AQDd1XuPT9XTSd8tHm adQnzMhgTEFoJJ1CNTL4vP8kDVV9IReoGYHt1zUvqxzzkOLc4EoYnWJ5sbjV 7jQNjfEz5Xh3kk7RH3qy2hxMQwsXu5gRXzrlgdcU64YzNNTJIF/MwYNOyWBd CFEMpaHK32S+MhyhU2T/VV2TPEtDN1KcZ7bZ0yleO192O4fRUBH5kP5xCzqF 0Xx2y8FzNFTH1vJhuREWj7MOL5jCaeiH++5Bngid4iu9PSocsx61gqNnD50i VmF2tw7ztTm7tdVddIqZ5a+dvZjfzrSrVu+gUxQVrVrLMAcbrjvPokKnxE0P XoeYX/Y8fnpEmU7plx9niceeV2SrdPSGPJ3SNJnOcx9bT/bLCqmTMnRKaMl6 eBlbr2B6xdGfm+mUsBv67qbYfqQKLMSaJOkUO4PpuqkQGqq0Z9GWVYJOGRgX l9bE4qHjdnq99UY65fHuQnnHU9j6txrvpYvSKduTxMFxLN5OHvYa30ToFD7l BwV4fs3EtiKjwtj3tVGfWvlj+SV1foMi5jYdjR4NXxpaUqT4PEaITrFFuLex YfmsIexmNidIp6TYrH+ZfIyGynF5hgRg5us9ayiA1UPYnn7WJQFsPdxL0vFu NHTWTqQgCfOOFAe15SM09NQzZ4EdmBnDHsp6YPVlQOVp7uHH8mX0T2STA1bP ljk/4zCXfhhKOYnV4/pswQNKmGt+i7kKWdNQNOLZVAsflu/WiHaxBQ2VqG1y CMSss6XECRygYe9LwWdFMHPbjU28NaKhE27FN1Fe7HwE5DmM9WnojYMKst6Y hV22e7cCLJ+2ht1Z5MHqWTlZ32gPDd19aVvJVcxp2kjKi100NIt+WFgcc++R OX2+HTT0e7Z3cgE3nWK0Dwu1Cg3tcxFf1cacp2PXfFaJhmaqpcoVcGHx79Ys CpfBzmdniIsYZnPkW+5xCRrKybTnzqUNdAr785dBQJiGqv90eT3FSaekjrtM veWhoQvTXJdtMHs9mBfczU5DjSxFGco56BQGy9D4G+toaOygpbQw5kjO5NkX U71ooKxP7nk2OkXNTnh+d38vSlGRkO1koVMcz+xNl/zUixq9mpCVYaZTrA+0 Xw1/14vOBo9veb6eTlk75jTxGevfIXXV2yFmRl/P5xtf96Lmxnu2tTLRKSvC E68cqnvR1F8+cs6Y83ueZjK87EXXU1XNC9bRKfcWZWavF/Wir+vOsswxYv+v 8PccY04vSjv7RZ+C+VDj5xWtxF60qHZPvOraNOVRy4+2lNBedMV5qzXnv2mK 4Q4XlY1uveiGTo3JtqVpyq3oZJ4qo140e0SuJGZhmlL2aleYxp5e9IVdY7bV /DTFfjHOPkC1F+0uvkiTmJumHDirXh8g04vq6Qnv+zEzTYleJ9amIdSLHqep vrpPn6Zc3TqdWs7ai36yVtplPz1N0Sp4dvPkKjZvLy/RQ6amKS5+ASa8sz2o OwMPLXlymjIzGHPyxp8eVJp1arRwYpoywc1bN/2jB/0UuUm4bnyassx3XuFM Rw+q9LNfsv7vNGVBtR/p/NCDqoREVr8em6ZYGPtWCdX1oIfFYoeq/kxTVr0U 1FTLe9Cjxb7Jz0anKXcvl9aJ3u5B05xkAk6NTFOEJ8KxPtuDMmR9kxofmqb8 B1kUkDE= "]]}, {{}, {}, {}}}, { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Method -> Automatic, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{-0.48, 1.2}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {-0.45999999999999996`, 1.22}}]}}, ImageSize -> 350, Ticks -> Automatic, AxesOrigin -> {-0.43, -0.095}, PlotRange -> {{-0.43, 2.}, {-0.095, 1.41}}, PlotRangeClipping -> True}], $CellContext`phasePlaneImage[ Pattern[$CellContext`e, Blank[]]] := ($CellContext`phasePlaneImage[$CellContext`e] = Part[ Apply[VisualDSolve`VisualDSolve`PhasePlot, ReplaceAll[{{ Derivative[ 1][$CellContext`x][$CellContext`t] == (-$CellContext`a) \ $CellContext`x[$CellContext`t] + (($CellContext`b \ $CellContext`y[$CellContext`t]) \ $CellContext`x[$CellContext`t])/($CellContext`e + \ $CellContext`y[$CellContext`t]), Derivative[ 1][$CellContext`y][$CellContext`t] == ($CellContext`c - \ $CellContext`f $CellContext`y[$CellContext`t]) $CellContext`y[$CellContext`t] - \ $CellContext`d (($CellContext`y[$CellContext`t] \ $CellContext`x[$CellContext`t])/($CellContext`e + \ $CellContext`y[$CellContext`t]))}, { $CellContext`x[$CellContext`t], $CellContext`y[$CellContext`t]}, {$CellContext`t, 0, 80}, {$CellContext`x, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, ImageSize -> 350, PlotStyle -> Thickness[0.006], VisualDSolve`VisualDSolve`StayInWindow -> True, VisualDSolve`VisualDSolve`FastPlotting -> True, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20, VisualDSolve`VisualDSolve`InitialValues -> {{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.02 + ((((-$CellContext`a) $CellContext`b) $CellContext`c) \ $CellContext`e + ($CellContext`b^2 $CellContext`c) $CellContext`e - \ (($CellContext`a $CellContext`b) $CellContext`e^2) \ $CellContext`f)/(($CellContext`a - $CellContext`b)^2 $CellContext`d), 0.02 - ($CellContext`a $CellContext`e)/($CellContext`a - \ $CellContext`b)}}, BaseStyle -> (FontSize -> 14), FrameTicks -> { Range[0, 2, 0.5], Range[0, 1.4, 0.2], {}, {}}, Epilog -> {{ PointSize[0.04], EdgeForm[Black], Lighter[Orange], Disk[{0, $CellContext`c/$CellContext`f}, 0.05], Lighter[Purple], Disk[{((((-$CellContext`a) $CellContext`b) $CellContext`c) \ $CellContext`e + ($CellContext`b^2 $CellContext`c) $CellContext`e - \ (($CellContext`a $CellContext`b) $CellContext`e^2) \ $CellContext`f)/(($CellContext`a - $CellContext`b)^2 $CellContext`d), \ -(($CellContext`a $CellContext`e)/($CellContext`a - $CellContext`b))}, 0.05], White, Disk[{0, 0}, 0.05], Black, PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, { 0.02 + ((((-$CellContext`a) $CellContext`b) $CellContext`c) \ $CellContext`e + ($CellContext`b^2 $CellContext`c) $CellContext`e - \ (($CellContext`a $CellContext`b) $CellContext`e^2) \ $CellContext`f)/(($CellContext`a - $CellContext`b)^2 $CellContext`d), 0.02 - ($CellContext`a $CellContext`e)/($CellContext`a - \ $CellContext`b)}}]}}}, Thread[{$CellContext`a, $CellContext`b, $CellContext`c, \ $CellContext`d, $CellContext`f} -> {1/2, 1, 1, 1, 1}]]], 1]), Attributes[PlotRange] = {ReadProtected}, Attributes[VisualDSolve`VisualDSolve`PhasePlot] = {HoldAll}, VisualDSolve`VisualDSolve`PhasePlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`unks, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[Rule]]] := If[ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`InitialValues, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`PhasePlot]] =!= {}, Message[ MessageName[VisualDSolve`VisualDSolve`PhasePlot, "incons"]]; HoldForm[ VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`unks, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, VisualDSolve`VisualDSolve`Private`opts]], VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`unks, { If[ ListQ[VisualDSolve`VisualDSolve`Private`unks], Part[VisualDSolve`VisualDSolve`Private`unks, 1, -1], Part[VisualDSolve`VisualDSolve`Private`unks, -1]], 0, 1}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, VisualDSolve`VisualDSolve`Private`opts]], VisualDSolve`VisualDSolve`PhasePlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "insarg"], VisualDSolve`VisualDSolve`PhasePlot, 4]; HoldForm[ VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Length[{VisualDSolve`VisualDSolve`Private`x}] < 3], VisualDSolve`VisualDSolve`PhasePlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; HoldForm[ VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Position[ Map[Head, Take[{VisualDSolve`VisualDSolve`Private`x}, {2, 3}]], PatternTest[ Blank[], # =!= List& ]] != {{}}], VisualDSolve`VisualDSolve`PhasePlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; HoldForm[ VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], And[Length[ Part[{VisualDSolve`VisualDSolve`Private`x}, 1]] >= 2, NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 1, 2]]]]], VisualDSolve`VisualDSolve`PhasePlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], { Part[VisualDSolve`VisualDSolve`Private`r, 1, 1] + 3, 2}]; HoldForm[ VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], ( VisualDSolve`VisualDSolve`Private`r = Position[ Part[{VisualDSolve`VisualDSolve`Private`x}, {2, 3}, 2], PatternTest[ Blank[], Not[ NumberQ[ N[#]]]& ], Heads -> False]) != {{}}], VisualDSolve`VisualDSolve`PhasePlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], { Part[VisualDSolve`VisualDSolve`Private`r, 1, 1] + 3, 3}]; HoldForm[ VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], ( VisualDSolve`VisualDSolve`Private`r = Position[ Part[{VisualDSolve`VisualDSolve`Private`x}, {2, 3}, 3], PatternTest[ Blank[], Not[ NumberQ[ N[#]]]& ], Heads -> False]) != {{}}], VisualDSolve`VisualDSolve`PhasePlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`equation, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`unk, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[Rule]]] := Module[{VisualDSolve`VisualDSolve`Private`i, VisualDSolve`VisualDSolve`Private`check, VisualDSolve`VisualDSolve`Private`dim, VisualDSolve`VisualDSolve`Private`toScalarRules = {}, VisualDSolve`VisualDSolve`Private`optsList, VisualDSolve`VisualDSolve`Private`newOpts}, VisualDSolve`VisualDSolve`Private`halt = HoldForm[ VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`equation, VisualDSolve`VisualDSolve`Private`unk, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, VisualDSolve`VisualDSolve`Private`opts]]; VisualDSolve`VisualDSolve`Private`unks = If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`unk]], { VisualDSolve`VisualDSolve`Private`unk}, VisualDSolve`VisualDSolve`Private`unk]; If[ Not[ VisualDSolve`VisualDSolve`CheckOptions[{ VisualDSolve`VisualDSolve`PhasePlot, Graphics, NDSolve, VisualDSolve`VisualDSolve`RungeKutta4, VisualDSolve`VisualDSolve`Euler, ContourPlot, Plot, VisualDSolve`VisualDSolve`DirectionFieldPlot, VisualDSolve`VisualDSolve`Equilibria, VisualDSolve`VisualDSolve`ColorParametricPlot, VisualDSolve`VisualDSolve`ProjectionPlot3D, Graphics3D, VisualDSolve`VisualDSolve`NullclinePlot, VisualDSolve`VisualDSolve`FlowParametricPlot}, VisualDSolve`VisualDSolve`Private`opts]], Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`optsList = Join[ ReplaceAll[ Options[VisualDSolve`VisualDSolve`PhasePlot], Map[(Part[#, 1] -> Blank[]) :> #& , { VisualDSolve`VisualDSolve`Private`opts}]], Complement[{VisualDSolve`VisualDSolve`Private`opts}, { VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`PhasePlot, VisualDSolve`VisualDSolve`Private`opts]}]]; { VisualDSolve`VisualDSolve`Private`fieldSteps, VisualDSolve`VisualDSolve`Private`ptsQ, VisualDSolve`VisualDSolve`Private`fieldQ, VisualDSolve`VisualDSolve`Private`orbSty, VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`ptCol, VisualDSolve`VisualDSolve`Private`backCol, VisualDSolve`VisualDSolve`Private`asp, VisualDSolve`VisualDSolve`Private`ppfcn, VisualDSolve`VisualDSolve`Private`saveSol, VisualDSolve`VisualDSolve`Private`lastQ, VisualDSolve`VisualDSolve`Private`arr, VisualDSolve`VisualDSolve`Private`stableQ, VisualDSolve`VisualDSolve`Private`stabCol, VisualDSolve`VisualDSolve`Private`nullclinesQ, VisualDSolve`VisualDSolve`Private`grayregQ, VisualDSolve`VisualDSolve`Private`met, VisualDSolve`VisualDSolve`Private`showFish, VisualDSolve`VisualDSolve`Private`stayIn, VisualDSolve`VisualDSolve`Private`fastPlQ, VisualDSolve`VisualDSolve`Private`sou, VisualDSolve`VisualDSolve`Private`solName, VisualDSolve`VisualDSolve`Private`tic, VisualDSolve`VisualDSolve`Private`compWin, VisualDSolve`VisualDSolve`Private`winShad, VisualDSolve`VisualDSolve`Private`rain, VisualDSolve`VisualDSolve`Private`wp, VisualDSolve`VisualDSolve`Private`showNumQ, VisualDSolve`VisualDSolve`Private`dim} = ReplaceAll[{ VisualDSolve`VisualDSolve`FieldMeshSize, VisualDSolve`VisualDSolve`ShowInitialValues, VisualDSolve`VisualDSolve`VectorField, PlotStyle, VisualDSolve`VisualDSolve`InitialValues, VisualDSolve`VisualDSolve`InitialPointStyle, Background, AspectRatio, VisualDSolve`VisualDSolve`ParametricPlotFunction, VisualDSolve`VisualDSolve`SaveSolution, VisualDSolve`VisualDSolve`SaveLastPoint, VisualDSolve`VisualDSolve`DirectionArrow, VisualDSolve`VisualDSolve`ShowEquilibria, VisualDSolve`VisualDSolve`EquilibriumPointStyle, VisualDSolve`VisualDSolve`Nullclines, VisualDSolve`VisualDSolve`NullclineShading, Method, VisualDSolve`VisualDSolve`FlowField, VisualDSolve`VisualDSolve`StayInWindow, VisualDSolve`VisualDSolve`FastPlotting, VisualDSolve`VisualDSolve`Source, VisualDSolve`VisualDSolve`SolutionName, Ticks, VisualDSolve`VisualDSolve`ComputeWindow, VisualDSolve`VisualDSolve`WindowShade, VisualDSolve`VisualDSolve`Rainbow, WorkingPrecision, VisualDSolve`VisualDSolve`ShowNumberOfSteps, VisualDSolve`VisualDSolve`Dimension}, VisualDSolve`VisualDSolve`Private`optsList]; If[ And[VisualDSolve`VisualDSolve`Private`pts == {}, Not[VisualDSolve`VisualDSolve`Private`fieldQ], Not[VisualDSolve`VisualDSolve`Private`showFish], Not[VisualDSolve`VisualDSolve`Private`nullclinesQ], Not[VisualDSolve`VisualDSolve`Private`grayregQ], Not[VisualDSolve`VisualDSolve`Private`stableQ]], Message[ MessageName[VisualDSolve`VisualDSolve`PhasePlot, "nothng"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[VisualDSolve`VisualDSolve`Private`pts != {}, VisualDSolve`VisualDSolve`Private`check = VisualDSolve`VisualDSolve`Private`CheckPhasePlotInitialValues[ VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax]; If[VisualDSolve`VisualDSolve`Private`check == Null, Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badopt"], VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`InitialValues]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ And[ NumericQ[VisualDSolve`VisualDSolve`Private`dim], Last[VisualDSolve`VisualDSolve`Private`check] != VisualDSolve`VisualDSolve`Private`dim], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "baddim"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; { VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`dim} = VisualDSolve`VisualDSolve`Private`check; VisualDSolve`VisualDSolve`Private`pts = N[VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`wp]; Null]; VisualDSolve`VisualDSolve`Private`method = ReplaceAll[ VisualDSolve`VisualDSolve`Private`met, Automatic -> NDSolve]; VisualDSolve`VisualDSolve`Private`method = If[ Or[VisualDSolve`VisualDSolve`Private`met === Automatic, Not[ FreeQ[VisualDSolve`VisualDSolve`Private`met, "EventLocator"]]], NDSolve, VisualDSolve`VisualDSolve`Private`met]; If[ And[ VisualDSolve`VisualDSolve`Private`method =!= NDSolve, VisualDSolve`VisualDSolve`Private`stayIn], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "bdmet"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ Not[ ListQ[ VisualDSolve`VisualDSolve`Private`equation]], { VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`toScalarRules, VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`ndsrules} = VisualDSolve`VisualDSolve`ToScalarEquations[ VisualDSolve`VisualDSolve`Private`equation, First[VisualDSolve`VisualDSolve`Private`unks], VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Dimension -> ReplaceAll[ VisualDSolve`VisualDSolve`Private`dim, Automatic -> 2], VisualDSolve`VisualDSolve`Rules -> True]; VisualDSolve`VisualDSolve`Private`m = VisualDSolve`VisualDSolve`Private`NDSolvePatched[ VisualDSolve`VisualDSolve`Private`ndsrules], VisualDSolve`VisualDSolve`Private`eqn = If[VisualDSolve`VisualDSolve`Private`sou =!= VisualDSolve`VisualDSolve`SecondOrderPlot, VisualDSolve`VisualDSolve`Private`NormalForm[ VisualDSolve`VisualDSolve`Private`equation, VisualDSolve`VisualDSolve`Private`unks], VisualDSolve`VisualDSolve`Private`equation]; VisualDSolve`VisualDSolve`Private`m = VisualDSolve`VisualDSolve`Private`method]; VisualDSolve`VisualDSolve`Private`newOpts = Apply[Sequence, ReplaceAll[ VisualDSolve`VisualDSolve`Private`optsList, VisualDSolve`VisualDSolve`Private`toScalarRules]]; If[ Apply[Or, Map[FreeQ[VisualDSolve`VisualDSolve`Private`eqn, Derivative[1][ Head[#]][VisualDSolve`VisualDSolve`Private`t]]& , VisualDSolve`VisualDSolve`Private`unks]], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badform"], VisualDSolve`VisualDSolve`Private`t]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`num = Length[VisualDSolve`VisualDSolve`Private`unks]; VisualDSolve`VisualDSolve`Private`saveSol = Or[VisualDSolve`VisualDSolve`Private`saveSol, MemberQ[ Map[First, {VisualDSolve`VisualDSolve`Private`opts}], VisualDSolve`VisualDSolve`SolutionName]]; If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`stabCol]], VisualDSolve`VisualDSolve`Private`stabCol = { VisualDSolve`VisualDSolve`Private`stabCol}]; If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`ptCol]], VisualDSolve`VisualDSolve`Private`ptCol = { VisualDSolve`VisualDSolve`Private`ptCol}]; { VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx} = Sort[{VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}]; { VisualDSolve`VisualDSolve`Private`yminn, VisualDSolve`VisualDSolve`Private`ymaxx} = Sort[{VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}]; {{ VisualDSolve`VisualDSolve`Private`cwx0, VisualDSolve`VisualDSolve`Private`cwx1}, { VisualDSolve`VisualDSolve`Private`cwy0, VisualDSolve`VisualDSolve`Private`cwy1}} = N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`compWin, Automatic -> {{ VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx}, { VisualDSolve`VisualDSolve`Private`yminn, VisualDSolve`VisualDSolve`Private`ymaxx}}]]; Off[ MessageName[NDSolve, "ndnum"]]; VisualDSolve`VisualDSolve`Private`c1 = ReplaceAll[ Map[First, VisualDSolve`VisualDSolve`Private`eqn], Derivative[1][ Pattern[VisualDSolve`VisualDSolve`Private`xx, Blank[]]][VisualDSolve`VisualDSolve`Private`t] :> VisualDSolve`VisualDSolve`Private`xx]; VisualDSolve`VisualDSolve`Private`c2 = { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y}; VisualDSolve`VisualDSolve`Private`c3 = Map[Head, VisualDSolve`VisualDSolve`Private`unks]; If[ Or[ Select[VisualDSolve`VisualDSolve`Private`c1, MemberQ[ VisualDSolve`VisualDSolve`Private`c2, #]& ] =!= VisualDSolve`VisualDSolve`Private`c2, VisualDSolve`VisualDSolve`Private`c1 =!= VisualDSolve`VisualDSolve`Private`c3], Message[ MessageName[VisualDSolve`VisualDSolve`PhasePlot, "bdordr"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ Not[ StringQ[VisualDSolve`VisualDSolve`Private`solName]], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "badname"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`rhSides = ReplaceAll[ Map[Last, VisualDSolve`VisualDSolve`Private`eqn], { VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`y}]; VisualDSolve`VisualDSolve`Private`arrows = {}; If[VisualDSolve`VisualDSolve`Private`saveSol, VisualDSolve`VisualDSolve`Private`solNameTemp = {}]; If[VisualDSolve`VisualDSolve`Private`lastQ, VisualDSolve`VisualDSolve`LastPoint = {}]; If[VisualDSolve`VisualDSolve`Private`stayIn, VisualDSolve`VisualDSolve`Private`WindowExitData = {}]; VisualDSolve`VisualDSolve`Private`projQ = VisualDSolve`VisualDSolve`Private`ppfcn === VisualDSolve`VisualDSolve`ProjectionPlot3D; VisualDSolve`VisualDSolve`Private`pRange = N[{{VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx}, { VisualDSolve`VisualDSolve`Private`yminn, VisualDSolve`VisualDSolve`Private`ymaxx}}]; VisualDSolve`VisualDSolve`Private`orbSty = VisualDSolve`VisualDSolve`Private`fixSty[ VisualDSolve`VisualDSolve`Private`orbSty, Length[VisualDSolve`VisualDSolve`Private`pts]]; VisualDSolve`VisualDSolve`Private`orbSty = Map[Prepend[#, VisualDSolve`VisualDSolve`$VDSColor]& , VisualDSolve`VisualDSolve`Private`orbSty]; { VisualDSolve`VisualDSolve`Private`xR, VisualDSolve`VisualDSolve`Private`yR} = { VisualDSolve`VisualDSolve`Private`xmaxx - VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`ymaxx - VisualDSolve`VisualDSolve`Private`yminn}; VisualDSolve`VisualDSolve`Private`asp = N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`asp, Automatic -> VisualDSolve`VisualDSolve`Private`yR/ VisualDSolve`VisualDSolve`Private`xR]]; If[ NumberQ[VisualDSolve`VisualDSolve`Private`fieldSteps], VisualDSolve`VisualDSolve`Private`fieldSteps = { VisualDSolve`VisualDSolve`Private`fieldSteps, VisualDSolve`VisualDSolve`Private`fieldSteps}]; VisualDSolve`VisualDSolve`Private`nSoln[ Pattern[VisualDSolve`VisualDSolve`Private`ut, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`xVals, BlankSequence[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`t1, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t2, Blank[]]}] := ( VisualDSolve`VisualDSolve`Private`stopOpt = If[VisualDSolve`VisualDSolve`Private`stayIn, VisualDSolve`VisualDSolve`Private`StoppingTest -> Not[ And[ VisualDSolve`VisualDSolve`Private`cwx0 <= VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t] <= VisualDSolve`VisualDSolve`Private`cwx1, VisualDSolve`VisualDSolve`Private`cwy0 <= VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t] <= VisualDSolve`VisualDSolve`Private`cwy1]], WorkingPrecision -> VisualDSolve`VisualDSolve`Private`wp]; First[ If[Length[VisualDSolve`VisualDSolve`Private`pts] > 1, Check[ VisualDSolve`VisualDSolve`Private`stemp = VisualDSolve`VisualDSolve`Private`m[ Join[VisualDSolve`VisualDSolve`Private`eqn, Map[ReplaceAll[ Part[#, 1], VisualDSolve`VisualDSolve`Private`t -> VisualDSolve`VisualDSolve`Private`ut] == Part[#, 2]& , Transpose[{ VisualDSolve`VisualDSolve`Private`unks, { VisualDSolve`VisualDSolve`Private`xVals}}]]], Map[#[VisualDSolve`VisualDSolve`Private`t]& , Map[First, Map[Head, Map[First, VisualDSolve`VisualDSolve`Private`eqn]]]], { VisualDSolve`VisualDSolve`Private`t, If[ And[ VisualDSolve`VisualDSolve`Private`stayIn, { VisualDSolve`VisualDSolve`Private`t1, VisualDSolve`VisualDSolve`Private`t2} == { VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}], 2 VisualDSolve`VisualDSolve`Private`t1 - VisualDSolve`VisualDSolve`Private`t2, VisualDSolve`VisualDSolve`Private`t1], VisualDSolve`VisualDSolve`Private`t2}, VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Private`method, VisualDSolve`VisualDSolve`Private`newOpts], Evaluate[VisualDSolve`VisualDSolve`Private`stopOpt]], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "mxstep"], { VisualDSolve`VisualDSolve`Private`ut, VisualDSolve`VisualDSolve`Private`xVals}, VisualDSolve`VisualDSolve`Private`t, Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`stemp, 1, 1, 2]], 2]]; VisualDSolve`VisualDSolve`Private`stemp, MessageName[NDSolve, "mxst"]], VisualDSolve`VisualDSolve`Private`m[ Join[VisualDSolve`VisualDSolve`Private`eqn, Map[ReplaceAll[ Part[#, 1], VisualDSolve`VisualDSolve`Private`t -> VisualDSolve`VisualDSolve`Private`ut] == Part[#, 2]& , Transpose[{ VisualDSolve`VisualDSolve`Private`unks, { VisualDSolve`VisualDSolve`Private`xVals}}]]], Map[#[VisualDSolve`VisualDSolve`Private`t]& , Map[First, Map[Head, Map[First, VisualDSolve`VisualDSolve`Private`eqn]]]], { VisualDSolve`VisualDSolve`Private`t, If[ And[ VisualDSolve`VisualDSolve`Private`stayIn, { VisualDSolve`VisualDSolve`Private`t1, VisualDSolve`VisualDSolve`Private`t2} == { VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}], 2 VisualDSolve`VisualDSolve`Private`t1 - VisualDSolve`VisualDSolve`Private`t2, VisualDSolve`VisualDSolve`Private`t1], VisualDSolve`VisualDSolve`Private`t2}, VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Private`method, VisualDSolve`VisualDSolve`Private`newOpts], Evaluate[VisualDSolve`VisualDSolve`Private`stopOpt]]]]); If[ And[ Not[ FreeQ[ VisualDSolve`VisualDSolve`Private`rhSides, VisualDSolve`VisualDSolve`Private`t]], VisualDSolve`VisualDSolve`Private`pts == {}], Message[ MessageName[VisualDSolve`VisualDSolve`PhasePlot, "noinv"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ And[ Or[ VisualDSolve`VisualDSolve`Private`fieldQ, VisualDSolve`VisualDSolve`Private`showFish, VisualDSolve`VisualDSolve`Private`nullclinesQ, VisualDSolve`VisualDSolve`Private`grayregQ], Not[ FreeQ[ VisualDSolve`VisualDSolve`Private`rhSides, VisualDSolve`VisualDSolve`Private`t]]], Message[ MessageName[VisualDSolve`VisualDSolve`PhasePlot, "ntatn"]]]; Catch[ (If[ VisualDSolve`VisualDSolve`Private`stayIn, {#, VisualDSolve`VisualDSolve`Private`WindowExitData}, #]& )[ Show[ Graphics[ If[ VisualDSolve`VisualDSolve`Private`winShad === None, {}, {{VisualDSolve`VisualDSolve`Private`winShad, Rectangle[{ VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`yminn}, { VisualDSolve`VisualDSolve`Private`xmaxx, VisualDSolve`VisualDSolve`Private`ymaxx}]}}]], If[ And[ Or[ VisualDSolve`VisualDSolve`Private`nullclinesQ, VisualDSolve`VisualDSolve`Private`grayregQ], VisualDSolve`VisualDSolve`Private`num == 2, FreeQ[ VisualDSolve`VisualDSolve`Private`rhSides, VisualDSolve`VisualDSolve`Private`t]], VisualDSolve`VisualDSolve`NullclinePlot[ VisualDSolve`VisualDSolve`Private`rhSides, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, VisualDSolve`VisualDSolve`Nullclines -> VisualDSolve`VisualDSolve`Private`nullclinesQ, VisualDSolve`VisualDSolve`ShowEquilibria -> VisualDSolve`VisualDSolve`Private`stableQ, VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`NullclinePlot, VisualDSolve`VisualDSolve`Private`opts], VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Equilibria, VisualDSolve`VisualDSolve`Private`opts]], {}], If[ And[ Or[ VisualDSolve`VisualDSolve`Private`fieldQ, VisualDSolve`VisualDSolve`Private`showFish], FreeQ[ VisualDSolve`VisualDSolve`Private`rhSides, VisualDSolve`VisualDSolve`Private`t]], N[ VisualDSolve`VisualDSolve`DirectionFieldPlot[ VisualDSolve`VisualDSolve`Private`rhSides, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx, VisualDSolve`VisualDSolve`Private`xR/Part[ VisualDSolve`VisualDSolve`Private`fieldSteps, 1]}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`yminn, VisualDSolve`VisualDSolve`Private`ymaxx, VisualDSolve`VisualDSolve`Private`yR/Part[ VisualDSolve`VisualDSolve`Private`fieldSteps, 2]}, Axes -> None, AxesLabel -> None, Evaluate[ Sequence[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`DirectionFieldPlot, VisualDSolve`VisualDSolve`Private`newOpts], VisualDSolve`VisualDSolve`Private`filterOptions[ Graphics, VisualDSolve`VisualDSolve`Private`newOpts]]], PlotRange -> VisualDSolve`VisualDSolve`Private`pRange]], {}], If[VisualDSolve`VisualDSolve`Private`pts == {}, {}, MapIndexed[( VisualDSolve`VisualDSolve`Private`sol = Apply[VisualDSolve`VisualDSolve`Private`nSoln, #]; If[ And[ VisualDSolve`VisualDSolve`Private`method === NDSolve, VisualDSolve`VisualDSolve`Private`showNumQ], Print[ StringForm["The initial value `` required `` steps.", Drop[#, -1], Length[ VisualDSolve`VisualDSolve`GetPts[ Part[VisualDSolve`VisualDSolve`Private`sol, 1, 2]]]]]]; VisualDSolve`VisualDSolve`Private`iter = If[N[ Part[#, -1]] != N[{VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}], { VisualDSolve`VisualDSolve`Private`t, Max[ Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`sol, 1, 2]], 1], Part[#, -1, 1]], Min[ Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`sol, 1, 2]], 2], Part[#, -1, 2]]}, {VisualDSolve`VisualDSolve`Private`t, Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`sol, 1, 2]], 1], Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`sol, 1, 2]], 2]}]; If[VisualDSolve`VisualDSolve`Private`arr, { VisualDSolve`VisualDSolve`Private`temp1, VisualDSolve`VisualDSolve`Private`temp2} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol], VisualDSolve`VisualDSolve`Private`t -> ( Part[VisualDSolve`VisualDSolve`Private`iter, 2] + Part[VisualDSolve`VisualDSolve`Private`iter, 3])/2]; { VisualDSolve`VisualDSolve`Private`slope1, VisualDSolve`VisualDSolve`Private`slope2} = ReplaceAll[ Map[Last, Part[VisualDSolve`VisualDSolve`Private`eqn, Flatten[ Map[ Position[VisualDSolve`VisualDSolve`Private`unks, #]& , { VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t]}]]]], { VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`temp1, VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`temp2, VisualDSolve`VisualDSolve`Private`t -> ( Part[VisualDSolve`VisualDSolve`Private`iter, 2] + Part[VisualDSolve`VisualDSolve`Private`iter, 3])/2}]; { VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by} = If[VisualDSolve`VisualDSolve`Private`asp < 1, { Part[VisualDSolve`VisualDSolve`Private`pRange, 1, 2] - Part[VisualDSolve`VisualDSolve`Private`pRange, 1, 1], ( Part[VisualDSolve`VisualDSolve`Private`pRange, 2, 2] - Part[VisualDSolve`VisualDSolve`Private`pRange, 2, 1])/ VisualDSolve`VisualDSolve`Private`asp}, { VisualDSolve`VisualDSolve`Private`asp ( Part[VisualDSolve`VisualDSolve`Private`pRange, 1, 2] - Part[VisualDSolve`VisualDSolve`Private`pRange, 1, 1]), Part[VisualDSolve`VisualDSolve`Private`pRange, 2, 2] - Part[VisualDSolve`VisualDSolve`Private`pRange, 2, 1]}]/25; VisualDSolve`VisualDSolve`Private`arrowtip = { VisualDSolve`VisualDSolve`Private`slope1, VisualDSolve`VisualDSolve`Private`slope2} ( VisualDSolve`VisualDSolve`Private`gg = VisualDSolve`VisualDSolve`Private`g[ VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by, VisualDSolve`VisualDSolve`Private`slope1, VisualDSolve`VisualDSolve`Private`slope2]); VisualDSolve`VisualDSolve`Private`arrowedge = ({-(( VisualDSolve`VisualDSolve`Private`slope2 VisualDSolve`VisualDSolve`Private`bx)/ VisualDSolve`VisualDSolve`Private`by), ( VisualDSolve`VisualDSolve`Private`slope1 VisualDSolve`VisualDSolve`Private`by)/ VisualDSolve`VisualDSolve`Private`bx} VisualDSolve`VisualDSolve`Private`gg)/2.5; AppendTo[VisualDSolve`VisualDSolve`Private`arrows, { Polygon[ Map[{VisualDSolve`VisualDSolve`Private`temp1, VisualDSolve`VisualDSolve`Private`temp2} + #& , { 0, -(VisualDSolve`VisualDSolve`Private`arrowtip/4) + VisualDSolve`VisualDSolve`Private`arrowedge, VisualDSolve`VisualDSolve`Private`arrowtip, -( VisualDSolve`VisualDSolve`Private`arrowtip/4) - VisualDSolve`VisualDSolve`Private`arrowedge}]]}]]; If[VisualDSolve`VisualDSolve`Private`saveSol, AppendTo[VisualDSolve`VisualDSolve`Private`solNameTemp, ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol]]]; If[VisualDSolve`VisualDSolve`Private`stayIn, AppendTo[VisualDSolve`VisualDSolve`Private`WindowExitData, ReplacePart[#, VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`sol, 1, 2]], -1]]]; If[VisualDSolve`VisualDSolve`Private`lastQ, AppendTo[VisualDSolve`VisualDSolve`LastPoint, ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`sol], VisualDSolve`VisualDSolve`Private`t -> Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`sol, 1, 2]], 2]]]]; If[ Not[ Apply[And, ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol], InterpolatingFunction[ BlankNullSequence[]][VisualDSolve`VisualDSolve`Private`t] :> True]]], Message[ MessageName[ VisualDSolve`VisualDSolve`VisualDSolve, "failure"]]; Graphics[{}], If[ And[ VisualDSolve`VisualDSolve`Private`fastPlQ, VisualDSolve`VisualDSolve`Private`ppfcn === ParametricPlot], Graphics[ Append[ If[VisualDSolve`VisualDSolve`Private`rain, Append[ Part[VisualDSolve`VisualDSolve`Private`orbSty, First[#2]], Hue[ 1 - (0.8 Part[#2, 1])/Length[ VisualDSolve`VisualDSolve`Private`pts]]], Part[VisualDSolve`VisualDSolve`Private`orbSty, First[#2]]], VisualDSolve`VisualDSolve`Private`dompts = VisualDSolve`VisualDSolve`Private`getDomPts[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`sol]]; VisualDSolve`VisualDSolve`Private`ic = 1; While[ Or[ And[ Not[VisualDSolve`VisualDSolve`Private`stayIn], Part[VisualDSolve`VisualDSolve`Private`dompts, VisualDSolve`VisualDSolve`Private`ic] < Min[ Part[#, -1]]], And[ VisualDSolve`VisualDSolve`Private`stayIn, Part[VisualDSolve`VisualDSolve`Private`dompts, VisualDSolve`VisualDSolve`Private`ic] < 2 Min[ Part[#, -1]] - Max[ Part[#, -1]]]], Increment[VisualDSolve`VisualDSolve`Private`ic]]; VisualDSolve`VisualDSolve`Private`jc = VisualDSolve`VisualDSolve`Private`ic; While[ And[ VisualDSolve`VisualDSolve`Private`jc <= Length[VisualDSolve`VisualDSolve`Private`dompts], Part[VisualDSolve`VisualDSolve`Private`dompts, VisualDSolve`VisualDSolve`Private`jc] <= Max[ Part[#, -1]]], Increment[VisualDSolve`VisualDSolve`Private`jc]]; Line[ Take[ Thread[ Map[VisualDSolve`VisualDSolve`GetPts, ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol]]], { VisualDSolve`VisualDSolve`Private`ic, VisualDSolve`VisualDSolve`Private`jc - 1}]]]], If[ Part[VisualDSolve`VisualDSolve`Private`iter, 2] < Part[VisualDSolve`VisualDSolve`Private`iter, 3], If[ VisualDSolve`VisualDSolve`Private`ppfcn === VisualDSolve`VisualDSolve`ProjectionPlot3D, Throw[ Return[#]]& , Identity][ VisualDSolve`VisualDSolve`Private`pptemp = If[VisualDSolve`VisualDSolve`Private`ppfcn === VisualDSolve`VisualDSolve`FlowParametricPlot, VisualDSolve`VisualDSolve`FlowParametricPlot[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`yminn, VisualDSolve`VisualDSolve`Private`ymaxx}, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`FlowParametricPlot, Apply[Sequence, ReplaceAll[{ VisualDSolve`VisualDSolve`Private`newOpts}, ( VisualDSolve`VisualDSolve`Rainbow -> True) -> ( VisualDSolve`VisualDSolve`FlowColor -> Hue[1 - (0.8 Part[#2, 1])/Length[ VisualDSolve`VisualDSolve`Private`pts]])]]]]], VisualDSolve`VisualDSolve`Private`ppfcn[ Evaluate[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol]], Evaluate[VisualDSolve`VisualDSolve`Private`iter], Evaluate[ Apply[Sequence, If[ VisualDSolve`VisualDSolve`Private`projQ, {{ VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx}, { VisualDSolve`VisualDSolve`Private`yminn, VisualDSolve`VisualDSolve`Private`ymaxx}}, {}]]], PlotStyle -> Evaluate[ If[VisualDSolve`VisualDSolve`Private`rain, { Append[ Part[VisualDSolve`VisualDSolve`Private`orbSty, First[#2]], Hue[ 1 - (0.8 Part[#2, 1])/Length[ VisualDSolve`VisualDSolve`Private`pts]]]}, Part[VisualDSolve`VisualDSolve`Private`orbSty, #2]]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Private`ppfcn, VisualDSolve`VisualDSolve`Private`newOpts]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ If[ VisualDSolve`VisualDSolve`Private`projQ, Graphics3D, VisualDSolve`VisualDSolve`Private`ppfcn], VisualDSolve`VisualDSolve`Private`newOpts]]]]; If[Head[VisualDSolve`VisualDSolve`Private`pptemp] === HoldForm, Throw[ Return[#]]& , Identity][ VisualDSolve`VisualDSolve`Private`pptemp]], {}]]])& , VisualDSolve`VisualDSolve`Private`pts]], On[ MessageName[NDSolve, "ndnum"]]; VisualDSolve`VisualDSolve`Private`solNameTemp = DeleteCases[ DeleteCases[VisualDSolve`VisualDSolve`Private`solNameTemp, InterpolatingFunction[ Alternatives[{ Pattern[VisualDSolve`VisualDSolve`Private`a, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`a, Blank[]]}, {{ Pattern[VisualDSolve`VisualDSolve`Private`a, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`a, Blank[]]}}], Pattern[VisualDSolve`VisualDSolve`Private`b, BlankSequence[]]][VisualDSolve`VisualDSolve`Private`t], 2], {}]; If[Length[VisualDSolve`VisualDSolve`Private`solNameTemp] == 1, VisualDSolve`VisualDSolve`Private`solNameTemp = First[VisualDSolve`VisualDSolve`Private`solNameTemp]]; Clear[ Evaluate[ StringJoin[ "Global`", VisualDSolve`VisualDSolve`Private`solName]]]; Evaluate[ ToExpression[ StringJoin[ "Global`", VisualDSolve`VisualDSolve`Private`solName]]] = VisualDSolve`VisualDSolve`Private`solNameTemp; Clear[VisualDSolve`VisualDSolve`Private`solNameTemp]; If[Length[VisualDSolve`VisualDSolve`LastPoint] == 1, VisualDSolve`VisualDSolve`LastPoint = First[VisualDSolve`VisualDSolve`LastPoint]]; Graphics[{ If[ And[ VisualDSolve`VisualDSolve`Private`ptsQ, VisualDSolve`VisualDSolve`Private`pts != {}], Join[VisualDSolve`VisualDSolve`Private`ptCol, Map[Point[ Part[ Part[#, 2], Flatten[ Join[ Position[VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t]], Position[VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t]]]]]]& , VisualDSolve`VisualDSolve`Private`pts]], {}], If[ And[ VisualDSolve`VisualDSolve`Private`stableQ, Length[VisualDSolve`VisualDSolve`Private`eqn] == 2], Append[VisualDSolve`VisualDSolve`Private`stabCol, Map[Point, If[ Or[ VisualDSolve`VisualDSolve`Private`nullclinesQ, VisualDSolve`VisualDSolve`Private`grayregQ], VisualDSolve`VisualDSolve`Private`eqPts, VisualDSolve`VisualDSolve`Equilibria[ Map[Last, ReplaceAll[ VisualDSolve`VisualDSolve`Private`eqn, { VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`y}]], { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Equilibria, VisualDSolve`VisualDSolve`Private`opts]]]]]], {}], VisualDSolve`VisualDSolve`Private`arrows}], Apply[Sequence, DeleteCases[{ VisualDSolve`VisualDSolve`Private`filterOptions[ Graphics, VisualDSolve`VisualDSolve`Private`newOpts]}, Ticks -> Blank[]]], Ticks -> VisualDSolve`VisualDSolve`Private`tic, AxesOrigin -> { VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`ymin}, PlotRange -> VisualDSolve`VisualDSolve`Private`pRange, PlotRangeClipping -> True]]]], VisualDSolve`VisualDSolve`PhasePlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`unk, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`z, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`zmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`zmax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[Rule]]] := Module[{VisualDSolve`VisualDSolve`Private`nSoln, VisualDSolve`VisualDSolve`Private`check, VisualDSolve`VisualDSolve`Private`dim, VisualDSolve`VisualDSolve`Private`toScalarRules = {}, VisualDSolve`VisualDSolve`Private`optsList, VisualDSolve`VisualDSolve`Private`newOpts}, VisualDSolve`VisualDSolve`Private`halt = HoldForm[ VisualDSolve`VisualDSolve`PhasePlot[ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`unk, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, { VisualDSolve`VisualDSolve`Private`z, VisualDSolve`VisualDSolve`Private`zmin, VisualDSolve`VisualDSolve`Private`zmax}, VisualDSolve`VisualDSolve`Private`opts]]; VisualDSolve`VisualDSolve`Private`unks = If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`unk]], { VisualDSolve`VisualDSolve`Private`unk}, VisualDSolve`VisualDSolve`Private`unk]; If[ Not[ VisualDSolve`VisualDSolve`CheckOptions[{ VisualDSolve`VisualDSolve`PhasePlot3DVersion, NDSolve, ParametricPlot3D}, VisualDSolve`VisualDSolve`Private`opts]], Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ ReplaceAll[VisualDSolve`VisualDSolve`FastPlotting, Options[VisualDSolve`VisualDSolve`PhasePlot]], PrependTo[ Options[VisualDSolve`VisualDSolve`PhasePlot3DVersion], VisualDSolve`VisualDSolve`FastPlotting -> True]]; VisualDSolve`VisualDSolve`Private`optsList = Join[ ReplaceAll[ Options[VisualDSolve`VisualDSolve`PhasePlot3DVersion], Map[(Part[#, 1] -> Blank[]) :> #& , { VisualDSolve`VisualDSolve`Private`opts}]], Complement[{VisualDSolve`VisualDSolve`Private`opts}, { VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`PhasePlot3DVersion, VisualDSolve`VisualDSolve`Private`opts]}]]; { VisualDSolve`VisualDSolve`Private`showNumQ, VisualDSolve`VisualDSolve`Private`ptsQ, VisualDSolve`VisualDSolve`Private`orbSty, VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`ptCol, VisualDSolve`VisualDSolve`Private`backCol, VisualDSolve`VisualDSolve`Private`asp, VisualDSolve`VisualDSolve`Private`saveSol, VisualDSolve`VisualDSolve`Private`lastQ, VisualDSolve`VisualDSolve`Private`ppFcn, VisualDSolve`VisualDSolve`Private`solName, VisualDSolve`VisualDSolve`Private`rain, VisualDSolve`VisualDSolve`Private`wp, VisualDSolve`VisualDSolve`Private`fastQ, VisualDSolve`VisualDSolve`Private`dim} = ReplaceAll[{ VisualDSolve`VisualDSolve`ShowNumberOfSteps, VisualDSolve`VisualDSolve`ShowInitialValues, PlotStyle, VisualDSolve`VisualDSolve`InitialValues, VisualDSolve`VisualDSolve`InitialPointStyle, Background, AspectRatio, VisualDSolve`VisualDSolve`SaveSolution, VisualDSolve`VisualDSolve`SaveLastPoint, VisualDSolve`VisualDSolve`ParametricPlotFunction, VisualDSolve`VisualDSolve`SolutionName, VisualDSolve`VisualDSolve`Rainbow, WorkingPrecision, VisualDSolve`VisualDSolve`FastPlotting, VisualDSolve`VisualDSolve`Dimension}, VisualDSolve`VisualDSolve`Private`optsList]; If[VisualDSolve`VisualDSolve`Private`pts != {}, VisualDSolve`VisualDSolve`Private`check = VisualDSolve`VisualDSolve`Private`CheckPhasePlotInitialValues[ VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax]; If[VisualDSolve`VisualDSolve`Private`check == Null, Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badopt"], VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`InitialValues]; Return[VisualDSolve`VisualDSolve`Private`halt]]; { VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`dim} = VisualDSolve`VisualDSolve`Private`check; VisualDSolve`VisualDSolve`Private`pts = N[VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`wp]; Null]; If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`eqn]], { VisualDSolve`VisualDSolve`Private`eqn1, VisualDSolve`VisualDSolve`Private`toScalarRules, VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`ndsrules} = VisualDSolve`VisualDSolve`ToScalarEquations[ VisualDSolve`VisualDSolve`Private`eqn, First[VisualDSolve`VisualDSolve`Private`unks], VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Dimension -> ReplaceAll[ VisualDSolve`VisualDSolve`Private`dim, Automatic -> 2], VisualDSolve`VisualDSolve`Rules -> True], VisualDSolve`VisualDSolve`Private`eqn1 = VisualDSolve`VisualDSolve`Private`NormalForm[ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`unks]]; VisualDSolve`VisualDSolve`Private`newOpts = Apply[Sequence, ReplaceAll[ VisualDSolve`VisualDSolve`Private`optsList, VisualDSolve`VisualDSolve`Private`toScalarRules]]; VisualDSolve`VisualDSolve`Private`nSoln[{ Pattern[VisualDSolve`VisualDSolve`Private`ut, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`xVals, BlankSequence[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`t1, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t2, Blank[]]}}] := First[ NDSolve[ Join[VisualDSolve`VisualDSolve`Private`eqn1, Map[ReplaceAll[ Part[#, 1], VisualDSolve`VisualDSolve`Private`t -> VisualDSolve`VisualDSolve`Private`ut] == Part[#, 2]& , Transpose[{ VisualDSolve`VisualDSolve`Private`unks, { VisualDSolve`VisualDSolve`Private`xVals}}]]], Map[First, Map[Head, Map[First, VisualDSolve`VisualDSolve`Private`eqn1]]], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`t1, VisualDSolve`VisualDSolve`Private`t2}, VisualDSolve`VisualDSolve`Private`filterOptions[ NDSolve, VisualDSolve`VisualDSolve`Private`newOpts]]]; VisualDSolve`VisualDSolve`Private`saveSol = Or[VisualDSolve`VisualDSolve`Private`saveSol, MemberQ[ Map[First, {VisualDSolve`VisualDSolve`Private`opts}], VisualDSolve`VisualDSolve`SolutionName]]; VisualDSolve`VisualDSolve`Private`c1 = ReplaceAll[ Cases[VisualDSolve`VisualDSolve`Private`eqn1, Derivative[1][ Pattern[VisualDSolve`VisualDSolve`Private`xx, Blank[]]][ Blank[]], Infinity], Derivative[1][ Pattern[VisualDSolve`VisualDSolve`Private`zz, Blank[]]][VisualDSolve`VisualDSolve`Private`t] :> VisualDSolve`VisualDSolve`Private`zz]; VisualDSolve`VisualDSolve`Private`c2 = { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`z}; VisualDSolve`VisualDSolve`Private`c3 = Map[Head, VisualDSolve`VisualDSolve`Private`unks]; If[ Or[ Select[VisualDSolve`VisualDSolve`Private`c1, MemberQ[ VisualDSolve`VisualDSolve`Private`c2, #]& ] =!= VisualDSolve`VisualDSolve`Private`c2, VisualDSolve`VisualDSolve`Private`c1 =!= VisualDSolve`VisualDSolve`Private`c3], Message[ MessageName[VisualDSolve`VisualDSolve`PhasePlot, "bdordr"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ Not[ StringQ[VisualDSolve`VisualDSolve`Private`solName]], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "badname"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`solTemp = {}; VisualDSolve`VisualDSolve`LastPoint = {}; { VisualDSolve`VisualDSolve`Private`xR, VisualDSolve`VisualDSolve`Private`yR, VisualDSolve`VisualDSolve`Private`zR} = { VisualDSolve`VisualDSolve`Private`xmax - VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`ymax - VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`zmax - VisualDSolve`VisualDSolve`Private`zmin}; If[TensorRank[VisualDSolve`VisualDSolve`Private`pts] == 1, VisualDSolve`VisualDSolve`Private`pts = { VisualDSolve`VisualDSolve`Private`pts}]; VisualDSolve`VisualDSolve`Private`asp = ReplaceAll[ VisualDSolve`VisualDSolve`Private`asp, Automatic -> VisualDSolve`VisualDSolve`Private`yR/ VisualDSolve`VisualDSolve`Private`xR]; VisualDSolve`VisualDSolve`Private`axLab = ReplaceAll[ ReplaceAll[ AxesLabel, {VisualDSolve`VisualDSolve`Private`newOpts}], AxesLabel -> None]; VisualDSolve`VisualDSolve`Private`orbSty = VisualDSolve`VisualDSolve`Private`fixSty[ VisualDSolve`VisualDSolve`Private`orbSty, Length[VisualDSolve`VisualDSolve`Private`pts]]; VisualDSolve`VisualDSolve`Private`orbSty = Map[Prepend[#, VisualDSolve`VisualDSolve`$VDSColor]& , VisualDSolve`VisualDSolve`Private`orbSty]; If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`ptCol]], VisualDSolve`VisualDSolve`Private`ptCol = { VisualDSolve`VisualDSolve`Private`ptCol}]; Show[ MapIndexed[( VisualDSolve`VisualDSolve`Private`sol = VisualDSolve`VisualDSolve`Private`nSoln[#]; If[VisualDSolve`VisualDSolve`Private`showNumQ, Print[ StringForm["The initial value `` required `` steps.", Drop[#, -1], Length[ VisualDSolve`VisualDSolve`GetPts[ Part[VisualDSolve`VisualDSolve`Private`sol, 1, 2][ VisualDSolve`VisualDSolve`Private`t]]]]]]; If[VisualDSolve`VisualDSolve`Private`saveSol, AppendTo[VisualDSolve`VisualDSolve`Private`solTemp, ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`z[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol]]]; If[VisualDSolve`VisualDSolve`Private`lastQ, AppendTo[VisualDSolve`VisualDSolve`LastPoint, ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`sol], VisualDSolve`VisualDSolve`Private`t -> Part[#, -1, 2]]]]; If[ Not[ Apply[And, ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`z[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol], InterpolatingFunction[ BlankNullSequence[]][VisualDSolve`VisualDSolve`Private`t] :> True]]], Message[ MessageName[ VisualDSolve`VisualDSolve`VisualDSolve, "failure"]]; Graphics[{}], Show[ If[ VisualDSolve`VisualDSolve`Private`ppFcn === ParametricPlot3D, VisualDSolve`VisualDSolve`Private`sty = If[VisualDSolve`VisualDSolve`Private`rain, Append[ Part[VisualDSolve`VisualDSolve`Private`orbSty, First[#2]], Hue[ 1 - (0.8 Part[#2, 1])/Length[ VisualDSolve`VisualDSolve`Private`pts]]], Part[VisualDSolve`VisualDSolve`Private`orbSty, First[#2]]]; If[VisualDSolve`VisualDSolve`Private`fastQ, Graphics3D[ Append[VisualDSolve`VisualDSolve`Private`sty, Line[ Thread[ Map[ Function[VisualDSolve`VisualDSolve`Private`ll, VisualDSolve`VisualDSolve`GetPts[ VisualDSolve`VisualDSolve`Private`ll, Part[#, -1]]], ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`z[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol]]]]]], ParametricPlot3D[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`z[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol], { VisualDSolve`VisualDSolve`Private`t, Part[#, -1, 1], Part[#, -1, 2]}, PlotStyle -> VisualDSolve`VisualDSolve`Private`sty, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ ParametricPlot3D, VisualDSolve`VisualDSolve`Private`newOpts]]]], VisualDSolve`VisualDSolve`ColorParametricPlot3D[ Evaluate[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`z[ VisualDSolve`VisualDSolve`Private`t]}, VisualDSolve`VisualDSolve`Private`sol]], { VisualDSolve`VisualDSolve`Private`t, Part[#, -1, 1], Part[#, -1, 2]}, PlotStyle -> VisualDSolve`VisualDSolve`Private`orbSty, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`ColorParametricPlot3D, VisualDSolve`VisualDSolve`Private`newOpts]]]]]])& , VisualDSolve`VisualDSolve`Private`pts], If[Length[VisualDSolve`VisualDSolve`Private`solTemp] == 1, VisualDSolve`VisualDSolve`Private`solTemp = First[VisualDSolve`VisualDSolve`Private`solTemp]]; If[Length[VisualDSolve`VisualDSolve`LastPoint] == 1, VisualDSolve`VisualDSolve`LastPoint = First[VisualDSolve`VisualDSolve`LastPoint]]; Clear[ Evaluate[ StringJoin[ "Global`", VisualDSolve`VisualDSolve`Private`solName]]]; Evaluate[ ToExpression[ StringJoin[ "Global`", VisualDSolve`VisualDSolve`Private`solName]]] = VisualDSolve`VisualDSolve`Private`solTemp; Clear[VisualDSolve`VisualDSolve`Private`solTemp]; Graphics3D[{ If[VisualDSolve`VisualDSolve`Private`ptsQ, Append[VisualDSolve`VisualDSolve`Private`ptCol, Map[Point[ Part[ Part[#, 2], Flatten[ Join[ Position[VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t]], Position[VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t]], Position[VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`z[ VisualDSolve`VisualDSolve`Private`t]]]]]]& , VisualDSolve`VisualDSolve`Private`pts]], {}]}], Apply[Sequence, DeleteCases[{ VisualDSolve`VisualDSolve`Private`filterOptions[ Graphics3D, VisualDSolve`VisualDSolve`Private`newOpts]}, AxesLabel -> Blank[]]], Axes -> Automatic, Boxed -> False, AxesLabel -> Map[ToString, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`z}], PlotRange -> {{ VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, { VisualDSolve`VisualDSolve`Private`zmin, VisualDSolve`VisualDSolve`Private`zmax}}]], Options[VisualDSolve`VisualDSolve`PhasePlot] = { AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], BoxRatios -> {1, 1, 0.4}, VisualDSolve`VisualDSolve`ComputeWindow -> Automatic, VisualDSolve`VisualDSolve`Dimension -> Automatic, VisualDSolve`VisualDSolve`DirectionArrow -> False, VisualDSolve`VisualDSolve`EquilibriumPointStyle -> { GrayLevel[0], PointSize[0.021]}, VisualDSolve`VisualDSolve`FastPlotting -> False, VisualDSolve`VisualDSolve`FieldMeshSize -> 15, VisualDSolve`VisualDSolve`FlowField -> False, Frame -> True, FrameTicks -> {{True, None}, {True, None}}, VisualDSolve`VisualDSolve`InitialPointStyle -> { GrayLevel[0], PointSize[0.015]}, VisualDSolve`VisualDSolve`InitialValues -> {}, Method -> Automatic, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`NullclineShading -> False, VisualDSolve`VisualDSolve`NullclineRegionColors -> { RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]}, PlotStyle -> {}, VisualDSolve`VisualDSolve`ParametricPlotFunction -> ParametricPlot, PrecisionGoal -> Automatic, VisualDSolve`VisualDSolve`Rainbow -> False, VisualDSolve`VisualDSolve`SaveLastPoint -> False, VisualDSolve`VisualDSolve`SaveSolution -> False, VisualDSolve`VisualDSolve`ShowInitialValues -> False, VisualDSolve`VisualDSolve`ShowNumberOfSteps -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`SolutionName -> "Solution", VisualDSolve`VisualDSolve`Source -> VisualDSolve`VisualDSolve`PhasePlot, VisualDSolve`VisualDSolve`StayInWindow -> False, Ticks -> Automatic, VisualDSolve`VisualDSolve`VectorField -> False, VisualDSolve`VisualDSolve`WindowShade -> None, WorkingPrecision -> MachinePrecision}, TagSet[VisualDSolve`VisualDSolve`PhasePlot, MessageName[VisualDSolve`VisualDSolve`PhasePlot, "bdordr"], "The dependent variables must be in the proper form and same order \ wherever they occur (equations, list of dependent variables, plotting window \ iterators)."], TagSet[VisualDSolve`VisualDSolve`PhasePlot, MessageName[VisualDSolve`VisualDSolve`PhasePlot, "incons"], "You cannot include an InitialValues setting without specifying a \ dependent variable and bounds on it."], TagSet[VisualDSolve`VisualDSolve`PhasePlot, MessageName[VisualDSolve`VisualDSolve`PhasePlot, "noder"], "FlowField could not be calculated because the function could not be \ differentiated symbolically."], TagSet[VisualDSolve`VisualDSolve`PhasePlot, MessageName[VisualDSolve`VisualDSolve`PhasePlot, "noinv"], "You have not included any initial values. Neither a direction field \ nor a nullcline plot can be shown because the system is not autonomous. \ Please specify initial values with the InitialValues option."], TagSet[VisualDSolve`VisualDSolve`PhasePlot, MessageName[VisualDSolve`VisualDSolve`PhasePlot, "nothng"], "There are no initial values and no requests via the \nNullclines, \ FlowField, VectorField, NullclineShading, or ShowEquilibria options. You must \ specify something to show."], TagSet[VisualDSolve`VisualDSolve`PhasePlot, MessageName[VisualDSolve`VisualDSolve`PhasePlot, "ntatn"], "Vector fields and nullcline plots can be shown only for autonomous \ systems."], TagSet[VisualDSolve`VisualDSolve`PhasePlot, MessageName[VisualDSolve`VisualDSolve`PhasePlot, "usage"], "PhasePlot[eqn, unks, {t, tmin, tmax}, {x, xmin, xmax}, {y, ymin, \ ymax}] shows the x-y orbit of the system eqn, which can be a list of two or \ more equations (not necessarily autonomous) or a single vector equation. If \ there are three or more equations and the x-y iterators are replaced by x-y-z \ iterators, then the orbits are given as space curves. Initial values are \ usually specified by the InitialValues option. If only a vector field or \ nullcline plot is wanted, the initial values and t-iterator, which is then \ irrelevant, may be omitted."], VisualDSolve`VisualDSolve`Private`eqn = { 0 == (-0.5) 60508443[$CellContext`t] + ((1. 60508443[$CellContext`t]) $CellContext`y[$CellContext`t])/( 0.125 + $CellContext`y[$CellContext`t]), Derivative[ 1][$CellContext`y][$CellContext`t] == ( 1. (1. - 1. $CellContext`y[$CellContext`t])) \ $CellContext`y[$CellContext`t] - ((1. 60508443[$CellContext`t]) $CellContext`y[$CellContext`t])/( 0.125 + $CellContext`y[$CellContext`t])}, Attributes[Derivative] = {NHoldAll, ReadProtected}, Attributes[VisualDSolve`VisualDSolve`FreeOfSetQ] = {HoldAll}, VisualDSolve`VisualDSolve`FreeOfSetQ[ Pattern[VisualDSolve`VisualDSolve`Private`equation, Blank[]]] := If[ FreeQ[ Hold[VisualDSolve`VisualDSolve`Private`equation], Set], True, Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "badinput"], HoldForm[VisualDSolve`VisualDSolve`Private`equation]]; False], TagSet[VisualDSolve`VisualDSolve`FreeOfSetQ, MessageName[VisualDSolve`VisualDSolve`FreeOfSetQ, "usage"], "FreeOfSetQ[expr] checks to see if Set (=) appears."], Attributes[VisualDSolve`VisualDSolve`VisualDSolve] = {HoldAll}, VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "insarg"], VisualDSolve`VisualDSolve`VisualDSolve, 3]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Length[{VisualDSolve`VisualDSolve`Private`x}] < 2], VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Head[VisualDSolve`VisualDSolve`Private`e] =!= Equal], VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ ListQ[ Part[{VisualDSolve`VisualDSolve`Private`x}, 1]]]], VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ ListQ[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2]]]], VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {2, 2}]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 1, 2]]]]], VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {2, 3}]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 1, 3]]]]], VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {3, 2}]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2, 2]]]]], VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {3, 3}]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2, 3]]]]], VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonopt"], 3]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], And[Length[{VisualDSolve`VisualDSolve`Private`x}] != 2, And[Union[ Map[Head, Drop[{VisualDSolve`VisualDSolve`Private`x}, 2]]] =!= {Rule}, Union[ Map[Head, Drop[{VisualDSolve`VisualDSolve`Private`x}, 2]]] =!= { RuleDelayed}, Union[ Map[Head, Drop[{VisualDSolve`VisualDSolve`Private`x}, 2]]] =!= { Rule, RuleDelayed}]]], VisualDSolve`VisualDSolve`VisualDSolve[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`equation, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{}, VisualDSolve`VisualDSolve`Private`halt = HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`equation, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, VisualDSolve`VisualDSolve`Private`opts]]; If[ Not[ VisualDSolve`VisualDSolve`CheckOptions[{ VisualDSolve`VisualDSolve`VisualDSolve, Graphics, VisualDSolve`VisualDSolve`RungeKutta4, VisualDSolve`VisualDSolve`Euler, NDSolve, ContourPlot, Plot, VisualDSolve`VisualDSolve`DirectionFieldPlot, VisualDSolve`VisualDSolve`FreehandAttempt}, VisualDSolve`VisualDSolve`Private`opts]], Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`newOpts = Apply[Sequence, Join[{VisualDSolve`VisualDSolve`Private`opts}, Options[VisualDSolve`VisualDSolve`VisualDSolve]]]; { VisualDSolve`VisualDSolve`Private`showNumQ, VisualDSolve`VisualDSolve`Private`fieldSteps, VisualDSolve`VisualDSolve`Private`ptsQ, VisualDSolve`VisualDSolve`Private`fieldQ, VisualDSolve`VisualDSolve`Private`symQ, VisualDSolve`VisualDSolve`Private`solSty, VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`isoQ, VisualDSolve`VisualDSolve`Private`isoVals, VisualDSolve`VisualDSolve`Private`infQ, VisualDSolve`VisualDSolve`Private`ptCol, VisualDSolve`VisualDSolve`Private`infSty, VisualDSolve`VisualDSolve`Private`isoSty, VisualDSolve`VisualDSolve`Private`asp, VisualDSolve`VisualDSolve`Private`cppts, VisualDSolve`VisualDSolve`Private`isoShade, VisualDSolve`VisualDSolve`Private`saveSol, VisualDSolve`VisualDSolve`Private`lastQ, VisualDSolve`VisualDSolve`Private`fastPlQ, VisualDSolve`VisualDSolve`Private`method, VisualDSolve`VisualDSolve`Private`cLines, VisualDSolve`VisualDSolve`Private`stayIn, VisualDSolve`VisualDSolve`Private`solName, VisualDSolve`VisualDSolve`Private`compWin, VisualDSolve`VisualDSolve`Private`winShad, VisualDSolve`VisualDSolve`Private`rain, VisualDSolve`VisualDSolve`Private`wp} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`ShowNumberOfSteps, VisualDSolve`VisualDSolve`FieldMeshSize, VisualDSolve`VisualDSolve`ShowInitialValues, VisualDSolve`VisualDSolve`DirectionField, VisualDSolve`VisualDSolve`SymbolicSolution, PlotStyle, VisualDSolve`VisualDSolve`InitialValues, VisualDSolve`VisualDSolve`Isoclines, VisualDSolve`VisualDSolve`IsoclineValues, VisualDSolve`VisualDSolve`InflectionCurve, VisualDSolve`VisualDSolve`InitialPointStyle, VisualDSolve`VisualDSolve`InflectionStyle, VisualDSolve`VisualDSolve`IsoclineStyle, AspectRatio, VisualDSolve`VisualDSolve`IsoclinePlotPoints, VisualDSolve`VisualDSolve`IsoclineShading, VisualDSolve`VisualDSolve`SaveSolution, VisualDSolve`VisualDSolve`SaveLastPoint, VisualDSolve`VisualDSolve`FastPlotting, Method, ContourLines, VisualDSolve`VisualDSolve`StayInWindow, VisualDSolve`VisualDSolve`SolutionName, VisualDSolve`VisualDSolve`ComputeWindow, VisualDSolve`VisualDSolve`WindowShade, VisualDSolve`VisualDSolve`Rainbow, WorkingPrecision}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`VisualDSolve]]; If[ And[ Not[VisualDSolve`VisualDSolve`Private`fieldQ], VisualDSolve`VisualDSolve`Private`pts == {}, Not[VisualDSolve`VisualDSolve`Private`isoQ], Not[VisualDSolve`VisualDSolve`Private`infQ]], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "nothng"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; Off[ MessageName[NDSolve, "ndnum"]]; If[ And[ VisualDSolve`VisualDSolve`Private`stayIn, VisualDSolve`VisualDSolve`Private`symQ], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "incons"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ Not[ StringQ[VisualDSolve`VisualDSolve`Private`solName]], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "badname"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ FreeQ[VisualDSolve`VisualDSolve`Private`equation, Derivative[1][VisualDSolve`VisualDSolve`Private`x][ VisualDSolve`VisualDSolve`Private`t]], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badform"], VisualDSolve`VisualDSolve`Private`t]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`eqn = VisualDSolve`VisualDSolve`Private`NormalForm[ VisualDSolve`VisualDSolve`Private`equation, VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t]]; VisualDSolve`VisualDSolve`Private`saveSol = Or[VisualDSolve`VisualDSolve`Private`saveSol, MemberQ[ Map[First, {VisualDSolve`VisualDSolve`Private`opts}], VisualDSolve`VisualDSolve`SolutionName]]; If[ And[ VisualDSolve`VisualDSolve`Private`saveSol, VisualDSolve`VisualDSolve`Private`symQ], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "incons1"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ And[ VisualDSolve`VisualDSolve`Private`symQ, VisualDSolve`VisualDSolve`Private`lastQ], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "incons2"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; { VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`tmaxx} = Sort[{VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}]; { VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx} = Sort[{VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}]; { VisualDSolve`VisualDSolve`Private`cwx0, VisualDSolve`VisualDSolve`Private`cwx1} = N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`compWin, Automatic -> { VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx}]]; { VisualDSolve`VisualDSolve`Private`tR, VisualDSolve`VisualDSolve`Private`xR} = { VisualDSolve`VisualDSolve`Private`tmaxx - VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`xmaxx - VisualDSolve`VisualDSolve`Private`xminn}; VisualDSolve`VisualDSolve`Private`pRange = ReplaceAll[ ReplaceAll[PlotRange, {VisualDSolve`VisualDSolve`Private`opts}], PlotRange -> {{ VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`tmaxx}, { VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx}}]; If[ And[ Depth[VisualDSolve`VisualDSolve`Private`pts] == 2, Head[VisualDSolve`VisualDSolve`Private`pts] =!= VisualDSolve`VisualDSolve`GridPoints], VisualDSolve`VisualDSolve`Private`pts = { VisualDSolve`VisualDSolve`Private`pts}]; VisualDSolve`VisualDSolve`Private`pts = ReplaceAll[ VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`GridPoints[ Pattern[VisualDSolve`VisualDSolve`Private`solnMesh, Blank[]]] :> ({ VisualDSolve`VisualDSolve`Private`tstep, VisualDSolve`VisualDSolve`Private`xstep} = { VisualDSolve`VisualDSolve`Private`tR, VisualDSolve`VisualDSolve`Private`xR}/( VisualDSolve`VisualDSolve`Private`solnMesh + 1); Flatten[ Table[{VisualDSolve`VisualDSolve`Private`tt, VisualDSolve`VisualDSolve`Private`xx, { VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`tmaxx}}, { VisualDSolve`VisualDSolve`Private`tt, VisualDSolve`VisualDSolve`Private`tminn + VisualDSolve`VisualDSolve`Private`tstep, VisualDSolve`VisualDSolve`Private`tmaxx - VisualDSolve`VisualDSolve`Private`tstep, VisualDSolve`VisualDSolve`Private`tstep}, { VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`xminn + VisualDSolve`VisualDSolve`Private`xstep, VisualDSolve`VisualDSolve`Private`xmaxx - VisualDSolve`VisualDSolve`Private`xstep, VisualDSolve`VisualDSolve`Private`xstep}], 1])]; VisualDSolve`VisualDSolve`Private`asp = ReplaceAll[ VisualDSolve`VisualDSolve`Private`asp, Automatic -> VisualDSolve`VisualDSolve`Private`xR/ VisualDSolve`VisualDSolve`Private`tR]; If[ Not[ MemberQ[{ VisualDSolve`VisualDSolve`Euler, VisualDSolve`VisualDSolve`RungeKutta4}, VisualDSolve`VisualDSolve`Private`method]], VisualDSolve`VisualDSolve`Private`method = NDSolve]; VisualDSolve`VisualDSolve`Private`solSty = VisualDSolve`VisualDSolve`Private`fixSty[ VisualDSolve`VisualDSolve`Private`solSty, Length[VisualDSolve`VisualDSolve`Private`pts]]; VisualDSolve`VisualDSolve`Private`solSty = Map[Prepend[#, VisualDSolve`VisualDSolve`$VDSColor]& , VisualDSolve`VisualDSolve`Private`solSty]; If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`ptCol]], VisualDSolve`VisualDSolve`Private`ptCol = { VisualDSolve`VisualDSolve`Private`ptCol}]; If[ And[ VisualDSolve`VisualDSolve`Private`method =!= NDSolve, VisualDSolve`VisualDSolve`Private`stayIn], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "bdmet"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`stopOpt = If[VisualDSolve`VisualDSolve`Private`stayIn, VisualDSolve`VisualDSolve`Private`StoppingTest -> Not[VisualDSolve`VisualDSolve`Private`cwx0 <= VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t] <= VisualDSolve`VisualDSolve`Private`cwx1], WorkingPrecision -> VisualDSolve`VisualDSolve`Private`wp]; VisualDSolve`VisualDSolve`Private`nSoln[{ Pattern[VisualDSolve`VisualDSolve`Private`tt, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xx, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t1, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t2, Blank[]]}}] := If[Length[VisualDSolve`VisualDSolve`Private`pts] == 1, ReplaceAll[ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`method[{ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`tt] == VisualDSolve`VisualDSolve`Private`xx}, VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`t1, VisualDSolve`VisualDSolve`Private`t2}, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Private`method, VisualDSolve`VisualDSolve`Private`newOpts]], Evaluate[VisualDSolve`VisualDSolve`Private`stopOpt]]], ReplaceAll[ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], Check[ VisualDSolve`VisualDSolve`Private`stemp = VisualDSolve`VisualDSolve`Private`method[{ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`tt] == VisualDSolve`VisualDSolve`Private`xx}, VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`t1, VisualDSolve`VisualDSolve`Private`t2}, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Private`method, VisualDSolve`VisualDSolve`Private`newOpts]], Evaluate[VisualDSolve`VisualDSolve`Private`stopOpt]], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "mxstep"], { VisualDSolve`VisualDSolve`Private`tt, VisualDSolve`VisualDSolve`Private`xx}, VisualDSolve`VisualDSolve`Private`t, Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`stemp, 1, 1, 2]], 2]]; VisualDSolve`VisualDSolve`Private`stemp, MessageName[NDSolve, "mxst"]]]]; { VisualDSolve`VisualDSolve`Private`fieldSteps, VisualDSolve`VisualDSolve`Private`solnMesh} = Map[If[ NumberQ[#], {#, #}, #]& , { VisualDSolve`VisualDSolve`Private`fieldSteps, VisualDSolve`VisualDSolve`Private`solnMesh}]; If[TensorRank[VisualDSolve`VisualDSolve`Private`pts] == 1, VisualDSolve`VisualDSolve`Private`pts = { VisualDSolve`VisualDSolve`Private`pts}]; VisualDSolve`VisualDSolve`Private`pts = ReplaceAll[ ReplaceAll[ ReplaceAll[VisualDSolve`VisualDSolve`Private`pts, { PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`u, BlankSequence[]], NumberQ[ N[#]]& ], { PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`t1, Blank[]], NumberQ[ N[#]]& ], PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`t2, Blank[]], NumberQ[ N[#]]& ]}} :> { VisualDSolve`VisualDSolve`Private`u, { VisualDSolve`VisualDSolve`Private`t1, VisualDSolve`VisualDSolve`Private`t2, VisualDSolve`VisualDSolve`Private`xx}}], { PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`u, BlankSequence[]], NumberQ[ N[#]]& ]} :> { VisualDSolve`VisualDSolve`Private`u, { VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}}], { Pattern[VisualDSolve`VisualDSolve`Private`u, BlankSequence[]], { Pattern[VisualDSolve`VisualDSolve`Private`t1, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t2, Blank[]], VisualDSolve`VisualDSolve`Private`xx}} :> { VisualDSolve`VisualDSolve`Private`u, { VisualDSolve`VisualDSolve`Private`t1, VisualDSolve`VisualDSolve`Private`t2}}]; If[TensorRank[VisualDSolve`VisualDSolve`Private`pts] == 3, VisualDSolve`VisualDSolve`Private`pts = Part[VisualDSolve`VisualDSolve`Private`pts, 1]]; If[VisualDSolve`VisualDSolve`Private`pts == {{}}, VisualDSolve`VisualDSolve`Private`symQ = False]; VisualDSolve`VisualDSolve`Private`symOut = {}; VisualDSolve`VisualDSolve`Private`symTry = If[VisualDSolve`VisualDSolve`Private`symQ, DSolve[VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`t]]; VisualDSolve`VisualDSolve`Private`symWorked = If[Length[VisualDSolve`VisualDSolve`Private`symTry] > 1, Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "manycs"]]; VisualDSolve`VisualDSolve`Private`symOut = VisualDSolve`VisualDSolve`Private`symTry; False, And[VisualDSolve`VisualDSolve`Private`symQ, FreeQ[VisualDSolve`VisualDSolve`Private`symTry, Integrate], FreeQ[VisualDSolve`VisualDSolve`Private`symTry, DSolve], VisualDSolve`VisualDSolve`Private`constantSoln = Check[ Map[Map[First, Solve[ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], First[ First[VisualDSolve`VisualDSolve`Private`symTry]]], VisualDSolve`VisualDSolve`Private`t -> Part[#, 1]] == Part[#, 2], C[1]]]& , VisualDSolve`VisualDSolve`Private`pts], "Solve failed"]; And[ Not[ StringQ[VisualDSolve`VisualDSolve`Private`constantSoln]], Union[ Map[ Length, VisualDSolve`VisualDSolve`Private`constantSoln]] == { 1}]]]; If[ VisualDSolve`VisualDSolve`Private`symWorked, VisualDSolve`VisualDSolve`Private`symOut = VisualDSolve`VisualDSolve`Private`symTry]; If[ And[ VisualDSolve`VisualDSolve`Private`symQ, VisualDSolve`VisualDSolve`Private`symOut == {}], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "nosym"]]]; If[ And[ VisualDSolve`VisualDSolve`Private`symWorked, Length[VisualDSolve`VisualDSolve`Private`symTry] != 1], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "manycs"], VisualDSolve`VisualDSolve`Private`symTry]; VisualDSolve`VisualDSolve`Private`symWorked = False]; Clear[ Evaluate[ StringJoin[ "Global`", VisualDSolve`VisualDSolve`Private`solName]]]; If[VisualDSolve`VisualDSolve`Private`saveSol, VisualDSolve`VisualDSolve`Private`solNameTemp = {}]; If[VisualDSolve`VisualDSolve`Private`stayIn, VisualDSolve`VisualDSolve`Private`WindowExitData = {}]; If[VisualDSolve`VisualDSolve`Private`lastQ, VisualDSolve`VisualDSolve`LastPoint = {}]; (If[ VisualDSolve`VisualDSolve`Private`symOut != {}, {#, ReplaceAll[VisualDSolve`VisualDSolve`Private`symOut, C[1] -> C]}, If[ VisualDSolve`VisualDSolve`Private`stayIn, {#, VisualDSolve`VisualDSolve`Private`WindowExitData}, #]]& )[ Show[ If[VisualDSolve`VisualDSolve`Private`winShad === None, {}, Graphics[{{VisualDSolve`VisualDSolve`Private`winShad, Rectangle[{ VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`xminn}, { VisualDSolve`VisualDSolve`Private`tmaxx, VisualDSolve`VisualDSolve`Private`xmaxx}]}}]], If[VisualDSolve`VisualDSolve`Private`isoShade, ReplaceAll[ Graphics[ ContourPlot[ ReplaceAll[ Last[VisualDSolve`VisualDSolve`Private`eqn], VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`x], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`tmaxx}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx}, PlotPoints -> VisualDSolve`VisualDSolve`Private`cppts, ContourShading -> True, Frame -> False, PlotRange -> VisualDSolve`VisualDSolve`Private`pRange, ColorFunction -> (GrayLevel[# 0.6 + 0.4]& ), Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ ContourPlot, VisualDSolve`VisualDSolve`Private`newOpts]], Contours -> VisualDSolve`VisualDSolve`Private`isoVals]], If[ ReplaceAll[ ContourLines, {VisualDSolve`VisualDSolve`Private`newOpts}] === True, {}, Blank[Line] -> {}]], {}], If[VisualDSolve`VisualDSolve`Private`fieldQ, N[ VisualDSolve`VisualDSolve`DirectionFieldPlot[ ReplaceAll[ Last[VisualDSolve`VisualDSolve`Private`eqn], VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`x], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`tmaxx, VisualDSolve`VisualDSolve`Private`tR/Part[ VisualDSolve`VisualDSolve`Private`fieldSteps, 1]}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx, VisualDSolve`VisualDSolve`Private`xR/Part[ VisualDSolve`VisualDSolve`Private`fieldSteps, 2]}, Evaluate[ Sequence[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`DirectionFieldPlot, VisualDSolve`VisualDSolve`Private`newOpts], VisualDSolve`VisualDSolve`Private`filterOptions[ Graphics, VisualDSolve`VisualDSolve`Private`newOpts]]], PlotRange -> VisualDSolve`VisualDSolve`Private`pRange]], {}], If[VisualDSolve`VisualDSolve`Private`isoQ, Graphics[ ContourPlot[ ReplaceAll[ Last[VisualDSolve`VisualDSolve`Private`eqn], VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`x], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`tmaxx}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx}, PlotPoints -> VisualDSolve`VisualDSolve`Private`cppts, PlotRange -> VisualDSolve`VisualDSolve`Private`pRange, ContourLines -> True, Contours -> VisualDSolve`VisualDSolve`Private`isoVals, ContourStyle -> VisualDSolve`VisualDSolve`Private`isoSty, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ ContourPlot, VisualDSolve`VisualDSolve`Private`newOpts]]]], {}], If[VisualDSolve`VisualDSolve`Private`infQ, Graphics[ ContourPlot[ Evaluate[ ReplaceAll[ ReplaceAll[ D[ Last[VisualDSolve`VisualDSolve`Private`eqn], VisualDSolve`VisualDSolve`Private`t], ToRules[VisualDSolve`VisualDSolve`Private`eqn]], VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t] -> VisualDSolve`VisualDSolve`Private`x]], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`tmaxx}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xminn, VisualDSolve`VisualDSolve`Private`xmaxx}, ContourStyle -> VisualDSolve`VisualDSolve`Private`infSty, ContourLines -> True, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ ContourPlot, VisualDSolve`VisualDSolve`Private`newOpts]], PlotRange -> VisualDSolve`VisualDSolve`Private`pRange, Contours -> {0}]], {}], If[VisualDSolve`VisualDSolve`Private`pts == {{}}, {}, If[VisualDSolve`VisualDSolve`Private`symWorked, MapIndexed[Plot[ Part[#, 1], {VisualDSolve`VisualDSolve`Private`t, Part[#, 2, 1], Part[#, 2, 2]}, PlotRange -> VisualDSolve`VisualDSolve`Private`pRange, PlotPoints -> VisualDSolve`VisualDSolve`Private`cppts, PlotStyle -> Evaluate[ If[VisualDSolve`VisualDSolve`Private`rain, { Append[ Part[VisualDSolve`VisualDSolve`Private`solSty, First[#2]], Hue[ 1 - (0.8 Part[#2, 1])/Length[ VisualDSolve`VisualDSolve`Private`pts]]]}, Part[VisualDSolve`VisualDSolve`Private`solSty, #2]]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ Plot, VisualDSolve`VisualDSolve`Private`newOpts]]]& , Transpose[{ ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`x[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`symTry], VisualDSolve`VisualDSolve`Private`constantSoln], Map[Last, VisualDSolve`VisualDSolve`Private`pts]}]], MapIndexed[(VisualDSolve`VisualDSolve`Private`sol = First[ VisualDSolve`VisualDSolve`Private`nSoln[#]]; If[ And[ VisualDSolve`VisualDSolve`Private`method === NDSolve, VisualDSolve`VisualDSolve`Private`showNumQ], Print[ StringForm["The initial value `` required `` steps.", Drop[#, -1], Length[ VisualDSolve`VisualDSolve`GetPts[ VisualDSolve`VisualDSolve`Private`sol]]]]]; If[VisualDSolve`VisualDSolve`Private`saveSol, AppendTo[ VisualDSolve`VisualDSolve`Private`solNameTemp, VisualDSolve`VisualDSolve`Private`sol]]; If[VisualDSolve`VisualDSolve`Private`stayIn, AppendTo[VisualDSolve`VisualDSolve`Private`WindowExitData, { Part[#, 1], Part[#, 2], VisualDSolve`VisualDSolve`Private`getDomain[ VisualDSolve`VisualDSolve`Private`sol]}]]; If[VisualDSolve`VisualDSolve`Private`lastQ, AppendTo[VisualDSolve`VisualDSolve`LastPoint, ReplaceAll[ VisualDSolve`VisualDSolve`Private`sol, VisualDSolve`VisualDSolve`Private`t -> Min[ Part[ VisualDSolve`VisualDSolve`Private`getDomain[ VisualDSolve`VisualDSolve`Private`sol], 2], Part[#, -1, 2]]]]]; If[ Not[ And[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`sol, InterpolatingFunction[ BlankNullSequence[]][VisualDSolve`VisualDSolve`Private`t] :> True], Part[ VisualDSolve`VisualDSolve`Private`getDomain[ VisualDSolve`VisualDSolve`Private`sol], 2] > Part[ VisualDSolve`VisualDSolve`Private`getDomain[ VisualDSolve`VisualDSolve`Private`sol], 1]]], Message[ MessageName[ VisualDSolve`VisualDSolve`VisualDSolve, "failure"]]; Graphics[{}], If[VisualDSolve`VisualDSolve`Private`fastPlQ, Graphics[{ Append[ If[VisualDSolve`VisualDSolve`Private`rain, Append[ Part[VisualDSolve`VisualDSolve`Private`solSty, First[#2]], Hue[ 1 - (0.8 Part[#2, 1])/Length[ VisualDSolve`VisualDSolve`Private`pts]]], Part[VisualDSolve`VisualDSolve`Private`solSty, First[#2]]], Line[ VisualDSolve`VisualDSolve`GetPtsFull[ VisualDSolve`VisualDSolve`Private`sol]]]}], Plot[ VisualDSolve`VisualDSolve`Private`sol, { VisualDSolve`VisualDSolve`Private`t, Max[ Part[ VisualDSolve`VisualDSolve`Private`getDomain[ VisualDSolve`VisualDSolve`Private`sol], 1], Part[#, -1, 1]], Min[ Part[ VisualDSolve`VisualDSolve`Private`getDomain[ VisualDSolve`VisualDSolve`Private`sol], 2], Part[#, -1, 2]]}, PlotStyle -> Evaluate[ If[VisualDSolve`VisualDSolve`Private`rain, { Append[ Part[VisualDSolve`VisualDSolve`Private`solSty, First[#2]], Hue[ 1 - (0.8 Part[#2, 1])/Length[ VisualDSolve`VisualDSolve`Private`pts]]]}, Part[VisualDSolve`VisualDSolve`Private`solSty, #2]]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ Plot, VisualDSolve`VisualDSolve`Private`newOpts]], PlotRange -> VisualDSolve`VisualDSolve`Private`pRange]]])& , VisualDSolve`VisualDSolve`Private`pts]]], On[ MessageName[NDSolve, "ndnum"]]; If[Length[VisualDSolve`VisualDSolve`Private`solNameTemp] == 1, VisualDSolve`VisualDSolve`Private`solNameTemp = First[VisualDSolve`VisualDSolve`Private`solNameTemp]]; Evaluate[ ToExpression[ StringJoin[ "Global`", VisualDSolve`VisualDSolve`Private`solName]]] = VisualDSolve`VisualDSolve`Private`solNameTemp; Clear[VisualDSolve`VisualDSolve`Private`solNameTemp]; If[Length[VisualDSolve`VisualDSolve`LastPoint] == 1, VisualDSolve`VisualDSolve`LastPoint = First[VisualDSolve`VisualDSolve`LastPoint]]; Graphics[{ If[VisualDSolve`VisualDSolve`Private`ptsQ, Append[VisualDSolve`VisualDSolve`Private`ptCol, Map[Point, Map[ Drop[#, -1]& , VisualDSolve`VisualDSolve`Private`pts]]], {}]}], PlotRange -> VisualDSolve`VisualDSolve`Private`pRange, PlotRangeClipping -> True, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ Graphics, VisualDSolve`VisualDSolve`Private`newOpts]], AxesOrigin -> { VisualDSolve`VisualDSolve`Private`tminn, VisualDSolve`VisualDSolve`Private`xminn}]]], Options[VisualDSolve`VisualDSolve`VisualDSolve] = { AspectRatio -> GoldenRatio^(-1), Axes -> False, Background -> GrayLevel[1], VisualDSolve`VisualDSolve`ComputeWindow -> Automatic, ContourLines -> False, ContourShading -> False, VisualDSolve`VisualDSolve`DirectionField -> False, VisualDSolve`VisualDSolve`FastPlotting -> False, VisualDSolve`VisualDSolve`FieldMeshSize -> 15, Frame -> True, FrameTicks -> {{True, None}, {True, None}}, VisualDSolve`VisualDSolve`InflectionCurve -> False, VisualDSolve`VisualDSolve`InflectionStyle -> { AbsoluteDashing[{5, 5}]}, VisualDSolve`VisualDSolve`InitialPointStyle -> { GrayLevel[0], PointSize[0.021]}, VisualDSolve`VisualDSolve`InitialValues -> {}, InterpolationOrder -> Automatic, VisualDSolve`VisualDSolve`Isoclines -> False, VisualDSolve`VisualDSolve`IsoclinePlotPoints -> 20, VisualDSolve`VisualDSolve`IsoclineShading -> False, VisualDSolve`VisualDSolve`IsoclineStyle -> { Thickness[0.004]}, VisualDSolve`VisualDSolve`IsoclineValues -> {0}, Method -> Automatic, PlotPoints -> 25, PlotStyle -> Automatic, PrecisionGoal -> Automatic, VisualDSolve`VisualDSolve`Rainbow -> False, VisualDSolve`VisualDSolve`SaveLastPoint -> False, VisualDSolve`VisualDSolve`SaveSolution -> False, VisualDSolve`VisualDSolve`ShowInitialValues -> False, VisualDSolve`VisualDSolve`ShowNumberOfSteps -> False, VisualDSolve`VisualDSolve`SolutionName -> "Solution", VisualDSolve`VisualDSolve`StayInWindow -> False, VisualDSolve`VisualDSolve`SymbolicSolution -> False, VisualDSolve`VisualDSolve`WindowShade -> None, WorkingPrecision -> MachinePrecision}, TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "badinput"], "`1` has = where it should have ==."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "badname"], "SolutionName must be a string (i.e., name within quotes)."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "bdmet"], "If StayInWindow is set to True you must use the default setting of \ Method."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "failure"], "NDSolve failed."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "incons"], "The StayInWindow and SymbolicSolution options cannot both be True, \ because StayInWindow works only for numerical solutions."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "incons1"], "The SolutionName (or SaveSolution) options are meant for numerical \ solutions, and so cannot be used if SymbolicSolution is True."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "incons2"], "SaveLastPoint works only when SymbolicSolution is False."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "manycs"], "The symbolic solution has more than one case, so numerical \ techniques are being used for the plotting."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "nosym"], "The equation could not be solved symbolically."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "nothng"], "There are no initial values and no requests via the DirectionField, \ Isoclines, or InflectionCurve options. You must specify something to show."], TagSet[VisualDSolve`VisualDSolve`VisualDSolve, MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "usage"], "VisualDSolve[eqn, {t, tmin, tmax}, {x, xmin, xmax}] creates an image \ that shows the solutions to a first-order ODE superimposed on a field of \ slope lines. The equation must be input in the standard form such as x'[t] + \ x[t] == t + Sin[x[t]]. Note also that the first iterator defines the \ independent variable and the other iterator defines the dependent variable. \ To get solutions to the DE one must include initial values in the \ InitialValues option."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"], "The arguments are not in the correct form. Check the usage message. \ Common errors are: Omitting the list of unknown functions, having \ inconsistent variable names in different parts, omitting x'[t] or the [t] \ part in the equations, using variables that have a numerical value assigned \ to them."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "baddim"], "The value of Dimension doesn't correspond to the given initial \ values."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "badform"], "The equations must be in terms of functions of ``."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "badopt"], "`` is not a valid setting for ``."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "insarg"], "`` requires at least `` arguments."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "mxstep"], "NDSolve ran into a MaxSteps limitation for the initial value `` and \ only computed the orbit out to `` = ``. If a larger domain is needed, \ increase the MaxSteps option setting."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], "A number is expected at position ``."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "nonopt"], "Options expected beyond position ``. An option must be a rule or a \ list of rules."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "nonopt1"], "Options expected after the lists. An option must be a rule or a list \ of rules."], TagSet[VisualDSolve`VisualDSolve`VDS, MessageName[VisualDSolve`VisualDSolve`VDS, "notlist"], "The first argument must be a list."], VisualDSolve`VisualDSolve`Private`halt = HoldForm[ VisualDSolve`VisualDSolve`PhasePlot[{ Derivative[ 1][$CellContext`x][$CellContext`t] == \ -($CellContext`x[$CellContext`t]/ 2) + ($CellContext`x[$CellContext`t] \ $CellContext`y[$CellContext`t])/(0.125 + $CellContext`y[$CellContext`t]), Derivative[ 1][$CellContext`y][$CellContext`t] == ( 1 - $CellContext`y[$CellContext`t]) \ $CellContext`y[$CellContext`t] - ($CellContext`x[$CellContext`t] \ $CellContext`y[$CellContext`t])/(0.125 + $CellContext`y[$CellContext`t])}, { $CellContext`x[$CellContext`t], $CellContext`y[$CellContext`t]}, {$CellContext`t, 0, 80}, {$CellContext`x, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, ImageSize -> 350, PlotStyle -> Thickness[0.006], VisualDSolve`VisualDSolve`StayInWindow -> True, VisualDSolve`VisualDSolve`FastPlotting -> True, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20, VisualDSolve`VisualDSolve`InitialValues -> {{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.23875, 0.145}}, BaseStyle -> (FontSize -> 14), FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.21875, 0.125}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.23875, 0.145}}]}}]], $CellContext`x = 60508443, TagSet[VisualDSolve`VisualDSolve`StayInWindow, MessageName[VisualDSolve`VisualDSolve`StayInWindow, "usage"], "StayInWindow is an option to PhasePlot and VisualDSolve that, when \ True, causes the plots to stop when they hit the window frame (or the max \ value in the t-iterator, or the setting of ComputeWindow). It also causes the \ orbits to expand in both directions from the initial point(s). When this \ setting is used, Method must be set to the default of Automatic. When \ StayInWindow is False, then the specified t-values are used. If any initial \ values come with specific t-limits, then they override a StayInWindow \ request. This allows specific t-limits to be used for periodic solutions that \ will never leave the window. The exit data, in a form suitable for later use \ with InitialValues, is returned as output."], TagSet[VisualDSolve`VisualDSolve`FastPlotting, MessageName[VisualDSolve`VisualDSolve`FastPlotting, "usage"], "FastPlotting is an option to VisualDSolve, SystemSolutionPlot, and \ PhasePlot that, when True, causes the plot to be drawn just by using line \ segments through the interpolating points. This saves a lot of time over the \ adaptive plotting algorithm of Plot (since the interpolating points are \ generally nicely adaptive by construction); the curve will not be \ satisfactory in certain low-order cases, so we have set the default to False. \ Also be aware that if MaxSteps is large then the plots generated by this \ method might involve a huge number of data points. This option cannot be used \ with VisualDSolve if SymbolicSolution is set to True; and it works only if \ the default setting of ParametricPlotFunction is used. PlotPoints is ignored \ if FastPlotting is turned on."], TagSet[VisualDSolve`VisualDSolve`NullclineShading, MessageName[VisualDSolve`VisualDSolve`NullclineShading, "usage"], "NullclineShading is an option to NullclinePlot and PhasePlot that \ causes a coded gray background to show."], TagSet[VisualDSolve`VisualDSolve`NullclinePlotPoints, MessageName[VisualDSolve`VisualDSolve`NullclinePlotPoints, "usage"], "NullclinePlotPoints is an option to NullclinePlot that controls the \ resolution of the contour lines."], TagSet[VisualDSolve`VisualDSolve`InitialValues, MessageName[VisualDSolve`VisualDSolve`InitialValues, "usage"], "InitialValues is an option to VisualDSolve and related functions \ that sets the initial values. To specify one initial value, use {t0, x0} (for \ systems, use {t0, {x0, y0, ...}}). To specify several, use {{t0, x0}, {t1, \ x1}, ...}. However, one can also attach different t-ranges for efficiency \ (this does not work with SystemSolutionPlot): for one curve use {t0, x0, \ {tmin, tmax}} (or, for a PhasePlot of a system, {t0, {x0, y0, ...}, {tmin, \ tmax}}); for several initial values, use several lists having this form. In \ the case of systems the t-value can be omitted (then the corresponding form \ is {x0, y0, ...} or {x0, y0, ..., {tmin, tmax}}), and it will be set to the \ lower bound in the main t-iterator. The possibility of varying the t-range \ makes NDSolve more efficient, since the ranges can be tweaked until they \ cause solutions that exist only in the final window; but \ StayInWindow\[Rule]True accomplishes this too. Also, in VisualDSolve a \ setting of GridPoints[n] is a possibility for InitialValues."], VisualDSolve`VisualDSolve`CheckOptions[ Pattern[VisualDSolve`VisualDSolve`Private`sym, Blank[Symbol]], Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[Rule]]] := VisualDSolve`VisualDSolve`CheckOptions[{ VisualDSolve`VisualDSolve`Private`sym}, VisualDSolve`VisualDSolve`Private`opts], VisualDSolve`VisualDSolve`CheckOptions[ Pattern[VisualDSolve`VisualDSolve`Private`sym, Blank[List]], Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[Rule]]] := Check[ Scan[If[ Not[ MemberQ[ Map[First, Apply[Union, Map[Options, VisualDSolve`VisualDSolve`Private`sym]]], #]], Message[ MessageName[VisualDSolve`VisualDSolve`CheckOptions, "badopt"], #, First[VisualDSolve`VisualDSolve`Private`sym]]]& , Map[First, {VisualDSolve`VisualDSolve`Private`opts}]], False], TagSet[VisualDSolve`VisualDSolve`CheckOptions, MessageName[VisualDSolve`VisualDSolve`CheckOptions, "badopt"], "`` is not a valid option to this usage of ``."], TagSet[VisualDSolve`VisualDSolve`CheckOptions, MessageName[VisualDSolve`VisualDSolve`CheckOptions, "usage"], "CheckOptions[sym, (opts)] checks to see if the options in opts are \ legitimate for sym, or the symbols in the list sym. If they are not, and sym \ is a list, a message referring to the first faulty case is returned."], VisualDSolve`VisualDSolve`RungeKutta4[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`unknowns, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t0, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t1, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{VisualDSolve`VisualDSolve`Private`g, VisualDSolve`VisualDSolve`Private`h, VisualDSolve`VisualDSolve`Private`FF, VisualDSolve`VisualDSolve`Private`f1, VisualDSolve`VisualDSolve`Private`f2, VisualDSolve`VisualDSolve`Private`f3}, { VisualDSolve`VisualDSolve`Private`wp, VisualDSolve`VisualDSolve`Private`steps, VisualDSolve`VisualDSolve`Private`intorder} = ReplaceAll[ ReplaceAll[{ WorkingPrecision, VisualDSolve`VisualDSolve`RKSteps, InterpolationOrder}, {VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`RungeKutta4]]; VisualDSolve`VisualDSolve`Private`wp = ReplaceAll[ VisualDSolve`VisualDSolve`Private`wp, MachinePrecision -> $MachinePrecision]; VisualDSolve`VisualDSolve`Private`intorder = ReplaceAll[ VisualDSolve`VisualDSolve`Private`intorder, Automatic -> 3]; VisualDSolve`VisualDSolve`Private`fixZero = 0 -> SetAccuracy[0, VisualDSolve`VisualDSolve`Private`wp]; VisualDSolve`VisualDSolve`Private`exprs = ReplaceAll[{ ReplaceAll[ VisualDSolve`VisualDSolve`Private`unknowns, Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]][VisualDSolve`VisualDSolve`Private`t] :> D[ VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`t]], ReplaceAll[ VisualDSolve`VisualDSolve`Private`unknowns, VisualDSolve`VisualDSolve`Private`t -> ReplaceAll[ VisualDSolve`VisualDSolve`Private`t0, VisualDSolve`VisualDSolve`Private`fixZero]]}, Flatten[ ReplaceAll[ Map[ToRules, N[ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`wp]], VisualDSolve`VisualDSolve`Private`fixZero]]]; VisualDSolve`VisualDSolve`Private`h = ( VisualDSolve`VisualDSolve`Private`t1 - VisualDSolve`VisualDSolve`Private`t0)/ VisualDSolve`VisualDSolve`Private`steps; VisualDSolve`VisualDSolve`Private`FF[ Pattern[VisualDSolve`VisualDSolve`Private`u, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`v, Blank[]]] := ReplaceAll[ First[VisualDSolve`VisualDSolve`Private`exprs], Flatten[ Append[{ Thread[ VisualDSolve`VisualDSolve`Private`unknowns -> VisualDSolve`VisualDSolve`Private`v]}, VisualDSolve`VisualDSolve`Private`t -> VisualDSolve`VisualDSolve`Private`u]]]; VisualDSolve`VisualDSolve`Private`g[{ Pattern[VisualDSolve`VisualDSolve`Private`u, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`v, Blank[]]}] := ( VisualDSolve`VisualDSolve`Private`tmid = VisualDSolve`VisualDSolve`Private`u + VisualDSolve`VisualDSolve`Private`h/2; VisualDSolve`VisualDSolve`Private`f1 = N[VisualDSolve`VisualDSolve`Private`h VisualDSolve`VisualDSolve`Private`FF[ VisualDSolve`VisualDSolve`Private`u, VisualDSolve`VisualDSolve`Private`v], VisualDSolve`VisualDSolve`Private`wp]; VisualDSolve`VisualDSolve`Private`f2 = VisualDSolve`VisualDSolve`Private`h VisualDSolve`VisualDSolve`Private`FF[ VisualDSolve`VisualDSolve`Private`tmid, VisualDSolve`VisualDSolve`Private`v + VisualDSolve`VisualDSolve`Private`f1/2]; VisualDSolve`VisualDSolve`Private`f3 = VisualDSolve`VisualDSolve`Private`h VisualDSolve`VisualDSolve`Private`FF[ VisualDSolve`VisualDSolve`Private`tmid, VisualDSolve`VisualDSolve`Private`v + VisualDSolve`VisualDSolve`Private`f2/2]; SetPrecision[{ VisualDSolve`VisualDSolve`Private`u, VisualDSolve`VisualDSolve`Private`v} + { VisualDSolve`VisualDSolve`Private`h, ( VisualDSolve`VisualDSolve`Private`f1 + 2 (VisualDSolve`VisualDSolve`Private`f2 + VisualDSolve`VisualDSolve`Private`f3) + VisualDSolve`VisualDSolve`Private`h VisualDSolve`VisualDSolve`Private`FF[ VisualDSolve`VisualDSolve`Private`u + VisualDSolve`VisualDSolve`Private`h, VisualDSolve`VisualDSolve`Private`v + VisualDSolve`VisualDSolve`Private`f3])/6}, VisualDSolve`VisualDSolve`Private`wp]); VisualDSolve`VisualDSolve`Private`data = N[ NestList[ VisualDSolve`VisualDSolve`Private`g, { VisualDSolve`VisualDSolve`Private`t0, Last[VisualDSolve`VisualDSolve`Private`exprs]}, VisualDSolve`VisualDSolve`Private`steps], VisualDSolve`VisualDSolve`Private`wp]; Part[VisualDSolve`VisualDSolve`Private`data, -1, 1] = VisualDSolve`VisualDSolve`Private`t1; If[Length[VisualDSolve`VisualDSolve`Private`unknowns] == 1, {{VisualDSolve`VisualDSolve`Private`unknowns -> Interpolation[ VisualDSolve`VisualDSolve`Private`data, InterpolationOrder -> VisualDSolve`VisualDSolve`Private`intorder][ VisualDSolve`VisualDSolve`Private`t]}}, { VisualDSolve`VisualDSolve`Private`tdata, VisualDSolve`VisualDSolve`Private`vdata} = Thread[VisualDSolve`VisualDSolve`Private`data]; { Thread[VisualDSolve`VisualDSolve`Private`unknowns -> Table[ Interpolation[ Thread[{VisualDSolve`VisualDSolve`Private`tdata, Part[ Thread[VisualDSolve`VisualDSolve`Private`vdata], VisualDSolve`VisualDSolve`Private`i]}], InterpolationOrder -> VisualDSolve`VisualDSolve`Private`intorder][ VisualDSolve`VisualDSolve`Private`t], { VisualDSolve`VisualDSolve`Private`i, Length[VisualDSolve`VisualDSolve`Private`unknowns]}]]}]], Options[VisualDSolve`VisualDSolve`RungeKutta4] = { WorkingPrecision -> MachinePrecision, VisualDSolve`VisualDSolve`RKSteps -> 20, InterpolationOrder -> 3}, TagSet[VisualDSolve`VisualDSolve`RungeKutta4, MessageName[VisualDSolve`VisualDSolve`RungeKutta4, "usage"], "RungeKutta4 is a choice of method for VisualDSolve and PhasePlot, \ and forces the standard 4th-order Runge-Kutta method. Steps are set by the \ RKSteps option. RungeKutta4 can be called as a separate function; it works in \ exactly the same way that NDSolve does, except that the starting t0 in {t, \ t0, t1} must appear in an initial condition as x[t0] == ***."], VisualDSolve`VisualDSolve`Private`g = CompiledFunction[{ Blank[Real], Blank[Real], Blank[Real], Blank[Real]}, {{3, 0, 0}, {3, 0, 1}, {3, 0, 2}, {3, 0, 3}, {3, 0, 5}}, {4, 3, 7, 0, 0}, {{1, 7}, {7, 0, 0}, {15, 0, 0, 4}, {34, 3, 4, 0, 0}, {3, 0, 6}, { 7, 0, 0}, {15, 0, 0, 4}, {34, 2, 4, 0, 1}, {10, 1, 3}, {4, 3}, { 6, False, 2}, {10, 2, 3}, {3, 3, 5}, {7, 10000000, 0}, {15, 0, 0, 4}, {12, 4, 5}, {4, 13}, {7, 1, 1}, {21, 1, 2, 4}, {7, 2, 2}, {94, 264, 3, 0, 4, 2, 0, 2, 3, 0, 5}, {21, 0, 3, 4}, {7, 2, 2}, {94, 264, 3, 0, 4, 2, 0, 2, 3, 0, 6}, {18, 5, 6, 5}, {93, 57, 3, 0, 5, 3, 0, 6}, {94, 260, 2, 0, 1, 3, 0, 6, 3, 0, 5}, {21, 0, 1, 5, 6}, {12, 6, 5}, {2}}, Function[{ VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b, VisualDSolve`VisualDSolve`Private`c, VisualDSolve`VisualDSolve`Private`d}, If[ And[ VisualDSolve`VisualDSolve`Private`d == 0, VisualDSolve`VisualDSolve`Private`c == 0], 10000000, (VisualDSolve`VisualDSolve`Private`a VisualDSolve`VisualDSolve`Private`b)/ Sqrt[(VisualDSolve`VisualDSolve`Private`b VisualDSolve`VisualDSolve`Private`c)^2 + ( VisualDSolve`VisualDSolve`Private`a VisualDSolve`VisualDSolve`Private`d)^2]]], Evaluate], VisualDSolve`VisualDSolve`Private`h[ Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]]] := Which[VisualDSolve`VisualDSolve`Private`x >= 1 - 0.2, 0.32, VisualDSolve`VisualDSolve`Private`x >= 2/3 - 0.1, 0.6, VisualDSolve`VisualDSolve`Private`x >= 1/2 - 0.1, 1, VisualDSolve`VisualDSolve`Private`x >= 1/3 - 0.17, 0.8, True, 0.46], VisualDSolve`VisualDSolve`Private`wp = MachinePrecision, TagSet[VisualDSolve`VisualDSolve`RKSteps, MessageName[VisualDSolve`VisualDSolve`RKSteps, "usage"], "RKSteps is an option to RungeKutta4 and routines that call it \ (VisualDSolve, PhasePlot, SecondOrderPlot) that controls the number of steps \ if the Runge-Kutta method is selected."], VisualDSolve`VisualDSolve`Euler[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`unknowns, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t0, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t1, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{VisualDSolve`VisualDSolve`Private`g, VisualDSolve`VisualDSolve`Private`h}, { VisualDSolve`VisualDSolve`Private`wp, VisualDSolve`VisualDSolve`Private`steps, VisualDSolve`VisualDSolve`Private`intorder} = ReplaceAll[ ReplaceAll[{ WorkingPrecision, VisualDSolve`VisualDSolve`EulerSteps, InterpolationOrder}, {VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`Euler]]; VisualDSolve`VisualDSolve`Private`intorder = ReplaceAll[ VisualDSolve`VisualDSolve`Private`intorder, Automatic -> 3]; VisualDSolve`VisualDSolve`Private`wp = ReplaceAll[ VisualDSolve`VisualDSolve`Private`wp, MachinePrecision -> $MachinePrecision]; VisualDSolve`VisualDSolve`Private`fixZero = 0 -> SetAccuracy[0, VisualDSolve`VisualDSolve`Private`wp]; VisualDSolve`VisualDSolve`Private`exprs = ReplaceAll[{ ReplaceAll[ VisualDSolve`VisualDSolve`Private`unknowns, Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]][VisualDSolve`VisualDSolve`Private`t] :> D[ VisualDSolve`VisualDSolve`Private`y[ VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`t]], ReplaceAll[ VisualDSolve`VisualDSolve`Private`unknowns, VisualDSolve`VisualDSolve`Private`t -> ReplaceAll[ VisualDSolve`VisualDSolve`Private`t0, VisualDSolve`VisualDSolve`Private`fixZero]]}, Flatten[ ReplaceAll[ Map[ToRules, N[ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`wp]], VisualDSolve`VisualDSolve`Private`fixZero]]]; VisualDSolve`VisualDSolve`Private`FF = First[VisualDSolve`VisualDSolve`Private`exprs]; VisualDSolve`VisualDSolve`Private`h = ( VisualDSolve`VisualDSolve`Private`t1 - VisualDSolve`VisualDSolve`Private`t0)/ VisualDSolve`VisualDSolve`Private`steps; VisualDSolve`VisualDSolve`Private`g[{ Pattern[VisualDSolve`VisualDSolve`Private`u, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`v, Blank[]]}] := N[{VisualDSolve`VisualDSolve`Private`u, VisualDSolve`VisualDSolve`Private`v} + VisualDSolve`VisualDSolve`Private`h {1, ReplaceAll[VisualDSolve`VisualDSolve`Private`FF, Flatten[ Append[{ Thread[ VisualDSolve`VisualDSolve`Private`unknowns -> VisualDSolve`VisualDSolve`Private`v]}, VisualDSolve`VisualDSolve`Private`t -> VisualDSolve`VisualDSolve`Private`u]]]}, VisualDSolve`VisualDSolve`Private`wp]; VisualDSolve`VisualDSolve`Private`data = N[ NestList[ VisualDSolve`VisualDSolve`Private`g, { VisualDSolve`VisualDSolve`Private`t0, Last[VisualDSolve`VisualDSolve`Private`exprs]}, VisualDSolve`VisualDSolve`Private`steps], VisualDSolve`VisualDSolve`Private`wp]; Part[VisualDSolve`VisualDSolve`Private`data, -1, 1] = VisualDSolve`VisualDSolve`Private`t1; If[Length[VisualDSolve`VisualDSolve`Private`unknowns] == 1, {{VisualDSolve`VisualDSolve`Private`unknowns -> Interpolation[ VisualDSolve`VisualDSolve`Private`data, InterpolationOrder -> VisualDSolve`VisualDSolve`Private`intorder][ VisualDSolve`VisualDSolve`Private`t]}}, { VisualDSolve`VisualDSolve`Private`tdata, VisualDSolve`VisualDSolve`Private`vdata} = Thread[VisualDSolve`VisualDSolve`Private`data]; { Thread[VisualDSolve`VisualDSolve`Private`unknowns -> Table[ Interpolation[ Thread[{VisualDSolve`VisualDSolve`Private`tdata, Part[ Thread[VisualDSolve`VisualDSolve`Private`vdata], VisualDSolve`VisualDSolve`Private`i]}], InterpolationOrder -> VisualDSolve`VisualDSolve`Private`intorder][ VisualDSolve`VisualDSolve`Private`t], { VisualDSolve`VisualDSolve`Private`i, Length[VisualDSolve`VisualDSolve`Private`unknowns]}]]}]], Options[VisualDSolve`VisualDSolve`Euler] = { WorkingPrecision -> MachinePrecision, VisualDSolve`VisualDSolve`EulerSteps -> 20, InterpolationOrder -> 3}, TagSet[VisualDSolve`VisualDSolve`Euler, MessageName[VisualDSolve`VisualDSolve`Euler, "usage"], "Euler is a choice for the Method option to VisualDSolve and \ PhasePlot. Number of steps is set by the EulerSteps option. One can't use \ special t-values; i.e., the initial values must all be for t0 equalling the \ tmin passed in {t, tmin, tmax}. Euler[] can be called separately and works in \ exactly the same way that NDSolve does, except that the starting t0 in {t, \ t0, t1} must appear in an initial condition as x[t0] == ***."], TagSet[VisualDSolve`VisualDSolve`EulerSteps, MessageName[VisualDSolve`VisualDSolve`EulerSteps, "usage"], "EulerSteps is an option to VisualDSolve and PhasePlot that controls \ the number of steps if Euler's method is selected."], VisualDSolve`VisualDSolve`DirectionFieldPlot[ Pattern[VisualDSolve`VisualDSolve`Private`f, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tx0, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tx1, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tdx, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ty0, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ty1, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tdy, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := ( VisualDSolve`VisualDSolve`DirectionFieldPlot[ VisualDSolve`VisualDSolve`Private`f, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`tx0, VisualDSolve`VisualDSolve`Private`tx1, VisualDSolve`VisualDSolve`Private`tdx}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ty0, VisualDSolve`VisualDSolve`Private`ty1, VisualDSolve`VisualDSolve`Private`tdy}, VisualDSolve`VisualDSolve`Private`opts] = Module[{VisualDSolve`VisualDSolve`Private`fx, VisualDSolve`VisualDSolve`Private`fy, VisualDSolve`VisualDSolve`Private`fxp, VisualDSolve`VisualDSolve`Private`fyp, VisualDSolve`VisualDSolve`Private`jacobian, VisualDSolve`VisualDSolve`Private`sou}, { VisualDSolve`VisualDSolve`Private`col, VisualDSolve`VisualDSolve`Private`length, VisualDSolve`VisualDSolve`Private`thick, VisualDSolve`VisualDSolve`Private`asp, VisualDSolve`VisualDSolve`Private`plotR, VisualDSolve`VisualDSolve`Private`useFish, VisualDSolve`VisualDSolve`Private`fishl, VisualDSolve`VisualDSolve`Private`fhead} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`FieldColor, VisualDSolve`VisualDSolve`FieldLength, VisualDSolve`VisualDSolve`FieldThickness, AspectRatio, PlotRange, VisualDSolve`VisualDSolve`FlowField, VisualDSolve`VisualDSolve`FieldLogScale, VisualDSolve`VisualDSolve`FlowThickness}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`DirectionFieldPlot]]; If[Head[VisualDSolve`VisualDSolve`Private`f] =!= List, VisualDSolve`VisualDSolve`Private`fnew = { 1, VisualDSolve`VisualDSolve`Private`f}; VisualDSolve`VisualDSolve`Private`sou = VisualDSolve`VisualDSolve`Private`FirstOrder, VisualDSolve`VisualDSolve`Private`fnew = VisualDSolve`VisualDSolve`Private`f; VisualDSolve`VisualDSolve`Private`sou = VisualDSolve`VisualDSolve`PhasePlot]; { VisualDSolve`VisualDSolve`Private`x0, VisualDSolve`VisualDSolve`Private`x1, VisualDSolve`VisualDSolve`Private`dx, VisualDSolve`VisualDSolve`Private`y0, VisualDSolve`VisualDSolve`Private`y1, VisualDSolve`VisualDSolve`Private`dy} = N[{VisualDSolve`VisualDSolve`Private`tx0, VisualDSolve`VisualDSolve`Private`tx1, VisualDSolve`VisualDSolve`Private`tdx, VisualDSolve`VisualDSolve`Private`ty0, VisualDSolve`VisualDSolve`Private`ty1, VisualDSolve`VisualDSolve`Private`tdy}]; VisualDSolve`VisualDSolve`Private`fnew = ReplaceAll[VisualDSolve`VisualDSolve`Private`fnew, {Abs[ Pattern[VisualDSolve`VisualDSolve`Private`zz, Blank[]]] :> If[VisualDSolve`VisualDSolve`Private`zz < 0, -1, 1] VisualDSolve`VisualDSolve`Private`zz, Sign[ Pattern[VisualDSolve`VisualDSolve`Private`zz, Blank[]]] :> If[VisualDSolve`VisualDSolve`Private`zz < 0, -1, 1]}]; VisualDSolve`VisualDSolve`Private`fx[ Pattern[VisualDSolve`VisualDSolve`Private`u, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`v, Blank[]]] := ReplaceAll[ Part[VisualDSolve`VisualDSolve`Private`fnew, 1], { VisualDSolve`VisualDSolve`Private`x -> VisualDSolve`VisualDSolve`Private`u, VisualDSolve`VisualDSolve`Private`y -> VisualDSolve`VisualDSolve`Private`v}]; VisualDSolve`VisualDSolve`Private`fy[ Pattern[VisualDSolve`VisualDSolve`Private`u, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`v, Blank[]]] := ReplaceAll[ Part[VisualDSolve`VisualDSolve`Private`fnew, 2], { VisualDSolve`VisualDSolve`Private`x -> VisualDSolve`VisualDSolve`Private`u, VisualDSolve`VisualDSolve`Private`y -> VisualDSolve`VisualDSolve`Private`v}]; VisualDSolve`VisualDSolve`Private`jacobian = D[VisualDSolve`VisualDSolve`Private`fnew, {{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y}}]; VisualDSolve`VisualDSolve`Private`fxp[ Pattern[VisualDSolve`VisualDSolve`Private`u, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`v, Blank[]]] := ReplaceAll[ Part[ Dot[ VisualDSolve`VisualDSolve`Private`jacobian, VisualDSolve`VisualDSolve`Private`fnew], 1], { VisualDSolve`VisualDSolve`Private`x -> VisualDSolve`VisualDSolve`Private`u, VisualDSolve`VisualDSolve`Private`y -> VisualDSolve`VisualDSolve`Private`v}]; VisualDSolve`VisualDSolve`Private`fyp[ Pattern[VisualDSolve`VisualDSolve`Private`u, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`v, Blank[]]] := ReplaceAll[ Part[ Dot[ VisualDSolve`VisualDSolve`Private`jacobian, VisualDSolve`VisualDSolve`Private`fnew], 2], { VisualDSolve`VisualDSolve`Private`x -> VisualDSolve`VisualDSolve`Private`u, VisualDSolve`VisualDSolve`Private`y -> VisualDSolve`VisualDSolve`Private`v}]; If[ Not[ FreeQ[{VisualDSolve`VisualDSolve`Private`fxp, VisualDSolve`VisualDSolve`Private`fyp}, Derivative]], Message[ MessageName[VisualDSolve`VisualDSolve`PhasePlot, "noder"]]]; VisualDSolve`VisualDSolve`Private`useFish = And[VisualDSolve`VisualDSolve`Private`useFish, VisualDSolve`VisualDSolve`Private`sou === VisualDSolve`VisualDSolve`PhasePlot, FreeQ[{VisualDSolve`VisualDSolve`Private`fxp, VisualDSolve`VisualDSolve`Private`fyp}, Derivative]]; VisualDSolve`VisualDSolve`Private`showarrows = VisualDSolve`VisualDSolve`Private`sou === VisualDSolve`VisualDSolve`PhasePlot; {{ VisualDSolve`VisualDSolve`Private`xx0, VisualDSolve`VisualDSolve`Private`xx1}, { VisualDSolve`VisualDSolve`Private`yy0, VisualDSolve`VisualDSolve`Private`yy1}} = N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`plotR, Automatic -> {{ VisualDSolve`VisualDSolve`Private`x0, VisualDSolve`VisualDSolve`Private`x1}, { VisualDSolve`VisualDSolve`Private`y0, VisualDSolve`VisualDSolve`Private`y1}}]] + N[{{VisualDSolve`VisualDSolve`Private`dx/ 4, -(VisualDSolve`VisualDSolve`Private`dx/4)}, { VisualDSolve`VisualDSolve`Private`dy/ 4, -(VisualDSolve`VisualDSolve`Private`dy/4)}}]; VisualDSolve`VisualDSolve`Private`asp = N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`asp, Automatic -> (VisualDSolve`VisualDSolve`Private`y1 - VisualDSolve`VisualDSolve`Private`y0)/( VisualDSolve`VisualDSolve`Private`x1 - VisualDSolve`VisualDSolve`Private`x0)]]; { VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by} = N[({VisualDSolve`VisualDSolve`Private`xx1 - VisualDSolve`VisualDSolve`Private`xx0, VisualDSolve`VisualDSolve`Private`yy1 - VisualDSolve`VisualDSolve`Private`yy0} If[VisualDSolve`VisualDSolve`Private`asp < 1, { VisualDSolve`VisualDSolve`Private`asp, 1}, { 1, 1/VisualDSolve`VisualDSolve`Private`asp}])/( VisualDSolve`VisualDSolve`Private`mm = Max[(VisualDSolve`VisualDSolve`Private`xx1 - VisualDSolve`VisualDSolve`Private`xx0)/ VisualDSolve`VisualDSolve`Private`dx, ( VisualDSolve`VisualDSolve`Private`yy1 - VisualDSolve`VisualDSolve`Private`yy0)/ VisualDSolve`VisualDSolve`Private`dy])]; VisualDSolve`VisualDSolve`Private`unitSlope[ Pattern[VisualDSolve`VisualDSolve`Private`xx, Blank[Real]], Pattern[VisualDSolve`VisualDSolve`Private`yy, Blank[]]] := ({ VisualDSolve`VisualDSolve`Private`tx, VisualDSolve`VisualDSolve`Private`ty} = { VisualDSolve`VisualDSolve`Private`fx[ VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy], ReplaceAll[ VisualDSolve`VisualDSolve`Private`fy[ VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy], { Indeterminate -> 10^7 VisualDSolve`VisualDSolve`Private`dy, ComplexInfinity -> 10^7 VisualDSolve`VisualDSolve`Private`dy}]}; Line[{{VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy} - ( VisualDSolve`VisualDSolve`Private`u = (( VisualDSolve`VisualDSolve`Private`length { VisualDSolve`VisualDSolve`Private`tx, VisualDSolve`VisualDSolve`Private`ty}) VisualDSolve`VisualDSolve`Private`g[ VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by, VisualDSolve`VisualDSolve`Private`tx, VisualDSolve`VisualDSolve`Private`ty])/2), { VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy} + VisualDSolve`VisualDSolve`Private`u}]); Which[VisualDSolve`VisualDSolve`Private`col === GrayLevel, VisualDSolve`VisualDSolve`Private`fcol = GrayLevel[0.8 (1 - #)]& , VisualDSolve`VisualDSolve`Private`col === Hue, VisualDSolve`VisualDSolve`Private`fcol = Hue[(# + 1.)/2.]& , VisualDSolve`VisualDSolve`Private`col === VisualDSolve`VisualDSolve`RandomGrayLevel, VisualDSolve`VisualDSolve`Private`fcol = GrayLevel[ Random[]]& , VisualDSolve`VisualDSolve`Private`col === VisualDSolve`VisualDSolve`RandomHue, VisualDSolve`VisualDSolve`Private`fcol = Hue[ Random[]]& , Head[VisualDSolve`VisualDSolve`Private`col] === Function, VisualDSolve`VisualDSolve`Private`fcol = VisualDSolve`VisualDSolve`Private`col, True, VisualDSolve`VisualDSolve`Private`fcol = VisualDSolve`VisualDSolve`Private`col& ]; VisualDSolve`VisualDSolve`Private`numfish = Round[ N[((VisualDSolve`VisualDSolve`Private`x1 - VisualDSolve`VisualDSolve`Private`x0) ( VisualDSolve`VisualDSolve`Private`y1 - VisualDSolve`VisualDSolve`Private`y0))/( VisualDSolve`VisualDSolve`Private`dx VisualDSolve`VisualDSolve`Private`dy)]]; VisualDSolve`VisualDSolve`Private`fishnum = 0; If[VisualDSolve`VisualDSolve`Private`useFish, VisualDSolve`VisualDSolve`Private`perpUnitSlope[ Pattern[VisualDSolve`VisualDSolve`Private`xx, Blank[Real]], Pattern[VisualDSolve`VisualDSolve`Private`yy, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tx, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ty, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`gg, Blank[]]] := ( VisualDSolve`VisualDSolve`Private`u = (( VisualDSolve`VisualDSolve`Private`fhead { VisualDSolve`VisualDSolve`Private`tx, VisualDSolve`VisualDSolve`Private`ty}) VisualDSolve`VisualDSolve`Private`gg)/8.; VisualDSolve`VisualDSolve`Private`pu = (( VisualDSolve`VisualDSolve`Private`fhead {-(( VisualDSolve`VisualDSolve`Private`ty VisualDSolve`VisualDSolve`Private`bx)/ VisualDSolve`VisualDSolve`Private`by), ( VisualDSolve`VisualDSolve`Private`tx VisualDSolve`VisualDSolve`Private`by)/ VisualDSolve`VisualDSolve`Private`bx}) VisualDSolve`VisualDSolve`Private`gg)/8.; VisualDSolve`VisualDSolve`Private`txp = VisualDSolve`VisualDSolve`Private`fxp[ VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy]/2; VisualDSolve`VisualDSolve`Private`typ = VisualDSolve`VisualDSolve`Private`fyp[ VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy]/2; VisualDSolve`VisualDSolve`Private`ggp = Min[VisualDSolve`VisualDSolve`Private`gg, VisualDSolve`VisualDSolve`Private`gp[ VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by, VisualDSolve`VisualDSolve`Private`txp, VisualDSolve`VisualDSolve`Private`typ]]; VisualDSolve`VisualDSolve`Private`flog = ( VisualDSolve`VisualDSolve`Private`fishs Exp[Log[VisualDSolve`VisualDSolve`Private`ggp] VisualDSolve`VisualDSolve`Private`fishl]) VisualDSolve`VisualDSolve`Private`length; { VisualDSolve`VisualDSolve`Private`xx2, VisualDSolve`VisualDSolve`Private`yy2} = { VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy} - { VisualDSolve`VisualDSolve`Private`tx, VisualDSolve`VisualDSolve`Private`ty} VisualDSolve`VisualDSolve`Private`flog + VisualDSolve`VisualDSolve`Private`flog^2 { VisualDSolve`VisualDSolve`Private`txp, VisualDSolve`VisualDSolve`Private`typ}; { VisualDSolve`VisualDSolve`Private`xx3, VisualDSolve`VisualDSolve`Private`yy3} = { VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy} - ({ VisualDSolve`VisualDSolve`Private`tx, VisualDSolve`VisualDSolve`Private`ty} 2) VisualDSolve`VisualDSolve`Private`flog + (4 VisualDSolve`VisualDSolve`Private`flog^2) { VisualDSolve`VisualDSolve`Private`txp, VisualDSolve`VisualDSolve`Private`typ}; { VisualDSolve`VisualDSolve`Private`xx4, VisualDSolve`VisualDSolve`Private`yy4} = { VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy} - ({ VisualDSolve`VisualDSolve`Private`tx, VisualDSolve`VisualDSolve`Private`ty} 3) VisualDSolve`VisualDSolve`Private`flog + (9 VisualDSolve`VisualDSolve`Private`flog^2) { VisualDSolve`VisualDSolve`Private`txp, VisualDSolve`VisualDSolve`Private`typ}; If[ And[ VisualDSolve`VisualDSolve`Private`xx4 <= VisualDSolve`VisualDSolve`Private`xx1, VisualDSolve`VisualDSolve`Private`xx4 >= VisualDSolve`VisualDSolve`Private`xx0, VisualDSolve`VisualDSolve`Private`yy4 <= VisualDSolve`VisualDSolve`Private`yy1, VisualDSolve`VisualDSolve`Private`yy4 >= VisualDSolve`VisualDSolve`Private`yy0], { VisualDSolve`VisualDSolve`Private`fcol[ N[ Increment[VisualDSolve`VisualDSolve`Private`fishnum]/( VisualDSolve`VisualDSolve`Private`numfish + 1)]], Polygon[{{ VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy} + VisualDSolve`VisualDSolve`Private`pu, { VisualDSolve`VisualDSolve`Private`xx2, VisualDSolve`VisualDSolve`Private`yy2} + (2 VisualDSolve`VisualDSolve`Private`pu)/3 - 0.745 VisualDSolve`VisualDSolve`Private`u, { VisualDSolve`VisualDSolve`Private`xx3, VisualDSolve`VisualDSolve`Private`yy3} + VisualDSolve`VisualDSolve`Private`pu/3 - 0.943 VisualDSolve`VisualDSolve`Private`u, { VisualDSolve`VisualDSolve`Private`xx4, VisualDSolve`VisualDSolve`Private`yy4} - VisualDSolve`VisualDSolve`Private`u, { VisualDSolve`VisualDSolve`Private`xx3, VisualDSolve`VisualDSolve`Private`yy3} - VisualDSolve`VisualDSolve`Private`pu/3 - 0.943 VisualDSolve`VisualDSolve`Private`u, { VisualDSolve`VisualDSolve`Private`xx2, VisualDSolve`VisualDSolve`Private`yy2} - (2 VisualDSolve`VisualDSolve`Private`pu)/3 - 0.745 VisualDSolve`VisualDSolve`Private`u, { VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy} - VisualDSolve`VisualDSolve`Private`pu}], Disk[{VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy}, ({ VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by} VisualDSolve`VisualDSolve`Private`fhead)/8, {0, 2 Pi}]}]), VisualDSolve`VisualDSolve`Private`perpUnitSlope[ Pattern[VisualDSolve`VisualDSolve`Private`xx, Blank[Real]], Pattern[VisualDSolve`VisualDSolve`Private`yy, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tx, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ty, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`gg, Blank[]]] := ( VisualDSolve`VisualDSolve`Private`u = (( VisualDSolve`VisualDSolve`Private`length { VisualDSolve`VisualDSolve`Private`tx, VisualDSolve`VisualDSolve`Private`ty}) VisualDSolve`VisualDSolve`Private`fishs) Exp[Log[VisualDSolve`VisualDSolve`Private`gg] VisualDSolve`VisualDSolve`Private`fishl]; VisualDSolve`VisualDSolve`Private`pu = ((( VisualDSolve`VisualDSolve`Private`length {-(( VisualDSolve`VisualDSolve`Private`ty VisualDSolve`VisualDSolve`Private`bx)/ VisualDSolve`VisualDSolve`Private`by), ( VisualDSolve`VisualDSolve`Private`tx VisualDSolve`VisualDSolve`Private`by)/ VisualDSolve`VisualDSolve`Private`bx}) VisualDSolve`VisualDSolve`Private`fishs) Exp[Log[VisualDSolve`VisualDSolve`Private`gg] VisualDSolve`VisualDSolve`Private`fishl])/4; If[ And[ VisualDSolve`VisualDSolve`Private`xx + Part[VisualDSolve`VisualDSolve`Private`u, 1] <= VisualDSolve`VisualDSolve`Private`xx1, VisualDSolve`VisualDSolve`Private`xx + Part[VisualDSolve`VisualDSolve`Private`u, 1] >= VisualDSolve`VisualDSolve`Private`xx0, VisualDSolve`VisualDSolve`Private`yy + Part[VisualDSolve`VisualDSolve`Private`u, 2] <= VisualDSolve`VisualDSolve`Private`yy1, VisualDSolve`VisualDSolve`Private`yy + Part[VisualDSolve`VisualDSolve`Private`u, 2] >= VisualDSolve`VisualDSolve`Private`yy0], { VisualDSolve`VisualDSolve`Private`fcol[ N[ Increment[VisualDSolve`VisualDSolve`Private`fishnum]/( VisualDSolve`VisualDSolve`Private`numfish + 1)]], VisualDSolve`VisualDSolve`Private`thick, Line[ Map[{VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy} + VisualDSolve`VisualDSolve`Private`u + #& , VisualDSolve`VisualDSolve`Private`fhead { VisualDSolve`VisualDSolve`Private`pu - 0.25 VisualDSolve`VisualDSolve`Private`u, {0, 0}, -VisualDSolve`VisualDSolve`Private`pu - 0.25 VisualDSolve`VisualDSolve`Private`u}]], Line[{{VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy}, { VisualDSolve`VisualDSolve`Private`xx, VisualDSolve`VisualDSolve`Private`yy} + VisualDSolve`VisualDSolve`Private`u}]}])]; If[VisualDSolve`VisualDSolve`Private`useFish, VisualDSolve`VisualDSolve`Private`points = Sort[ Flatten[ Table[{VisualDSolve`VisualDSolve`Private`aa = N[VisualDSolve`VisualDSolve`Private`i] + Random[] VisualDSolve`VisualDSolve`Private`dx, VisualDSolve`VisualDSolve`Private`bb = N[VisualDSolve`VisualDSolve`Private`j] + Random[] VisualDSolve`VisualDSolve`Private`dy, VisualDSolve`VisualDSolve`Private`fxaa = VisualDSolve`VisualDSolve`Private`fx[ VisualDSolve`VisualDSolve`Private`aa, VisualDSolve`VisualDSolve`Private`bb], VisualDSolve`VisualDSolve`Private`fyaa = VisualDSolve`VisualDSolve`Private`fy[ VisualDSolve`VisualDSolve`Private`aa, VisualDSolve`VisualDSolve`Private`bb], VisualDSolve`VisualDSolve`Private`g[ VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by, VisualDSolve`VisualDSolve`Private`fxaa, VisualDSolve`VisualDSolve`Private`fyaa]}, { VisualDSolve`VisualDSolve`Private`i, VisualDSolve`VisualDSolve`Private`x0, VisualDSolve`VisualDSolve`Private`x1 - VisualDSolve`VisualDSolve`Private`dx, VisualDSolve`VisualDSolve`Private`dx}, { VisualDSolve`VisualDSolve`Private`j, VisualDSolve`VisualDSolve`Private`y0, VisualDSolve`VisualDSolve`Private`y1 - VisualDSolve`VisualDSolve`Private`dy, VisualDSolve`VisualDSolve`Private`dy}], 1], Part[#2, 5] < Part[#, 5]& ]; VisualDSolve`VisualDSolve`Private`minfactor = Part[ Last[VisualDSolve`VisualDSolve`Private`points], 5]; VisualDSolve`VisualDSolve`Private`midfactor = Part[ Part[VisualDSolve`VisualDSolve`Private`points, Round[VisualDSolve`VisualDSolve`Private`numfish/4]], 5]; VisualDSolve`VisualDSolve`Private`fishl = ReplaceAll[ VisualDSolve`VisualDSolve`Private`fishl, Automatic -> N[ Exp[ Log[VisualDSolve`VisualDSolve`Private`midfactor/( VisualDSolve`VisualDSolve`Private`minfactor 4)]/Log[ 10, VisualDSolve`VisualDSolve`Private`midfactor/ VisualDSolve`VisualDSolve`Private`minfactor]]]]; VisualDSolve`VisualDSolve`Private`fishl = N[ Log[10, Max[ Min[VisualDSolve`VisualDSolve`Private`fishl, 10.], 1.]]]; VisualDSolve`VisualDSolve`Private`fishs = VisualDSolve`VisualDSolve`Private`minfactor^(1 - VisualDSolve`VisualDSolve`Private`fishl), VisualDSolve`VisualDSolve`Private`points = Join[ Distribute[{ Range[ N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`x0 + VisualDSolve`VisualDSolve`Private`dx/2, 0 -> 0.]], VisualDSolve`VisualDSolve`Private`x1 - VisualDSolve`VisualDSolve`Private`dx/2, N[VisualDSolve`VisualDSolve`Private`dx]], Range[ N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`y0 + VisualDSolve`VisualDSolve`Private`dy/2, 0 -> 0.]], VisualDSolve`VisualDSolve`Private`y1 - VisualDSolve`VisualDSolve`Private`dy/2, N[2 VisualDSolve`VisualDSolve`Private`dy]]}, List], Distribute[{ Range[ N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`x0 + VisualDSolve`VisualDSolve`Private`dx, 0 -> 0.]], VisualDSolve`VisualDSolve`Private`x1 - VisualDSolve`VisualDSolve`Private`dx/2, N[VisualDSolve`VisualDSolve`Private`dx]], Range[ N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`y0 + (3 VisualDSolve`VisualDSolve`Private`dy)/2, 0 -> 0.]], VisualDSolve`VisualDSolve`Private`y1 - VisualDSolve`VisualDSolve`Private`dy/2, N[2 VisualDSolve`VisualDSolve`Private`dy]]}, List]]; If[VisualDSolve`VisualDSolve`Private`showarrows, VisualDSolve`VisualDSolve`Private`points = Map[{VisualDSolve`VisualDSolve`Private`aa = Part[#, 1], VisualDSolve`VisualDSolve`Private`bb = Part[#, 2], VisualDSolve`VisualDSolve`Private`fxaa = VisualDSolve`VisualDSolve`Private`fx[ VisualDSolve`VisualDSolve`Private`aa, VisualDSolve`VisualDSolve`Private`bb], VisualDSolve`VisualDSolve`Private`fyaa = VisualDSolve`VisualDSolve`Private`fy[ VisualDSolve`VisualDSolve`Private`aa, VisualDSolve`VisualDSolve`Private`bb], VisualDSolve`VisualDSolve`Private`g[ VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by, VisualDSolve`VisualDSolve`Private`fxaa, VisualDSolve`VisualDSolve`Private`fyaa]}& , VisualDSolve`VisualDSolve`Private`points]; VisualDSolve`VisualDSolve`Private`points = Sort[VisualDSolve`VisualDSolve`Private`points, Part[#2, 5] < Part[#, 5]& ]; VisualDSolve`VisualDSolve`Private`minfactor = Part[ Last[VisualDSolve`VisualDSolve`Private`points], 5]; VisualDSolve`VisualDSolve`Private`midfactor = Part[ Part[VisualDSolve`VisualDSolve`Private`points, Round[Length[VisualDSolve`VisualDSolve`Private`points]/4]], 5]; VisualDSolve`VisualDSolve`Private`fishl = ReplaceAll[ VisualDSolve`VisualDSolve`Private`fishl, Automatic -> N[ Exp[ Log[VisualDSolve`VisualDSolve`Private`midfactor/( VisualDSolve`VisualDSolve`Private`minfactor 4)]/Log[ 10, VisualDSolve`VisualDSolve`Private`midfactor/ VisualDSolve`VisualDSolve`Private`minfactor]]]]; VisualDSolve`VisualDSolve`Private`fishl = N[ Log[10, Max[ Min[VisualDSolve`VisualDSolve`Private`fishl, 10.], 1.]]]; VisualDSolve`VisualDSolve`Private`fishs = VisualDSolve`VisualDSolve`Private`minfactor^(1 - VisualDSolve`VisualDSolve`Private`fishl)]]; Graphics[ Join[ If[ Not[VisualDSolve`VisualDSolve`Private`showarrows], { VisualDSolve`VisualDSolve`Private`col, VisualDSolve`VisualDSolve`Private`thick}, {}], DeleteCases[ Apply[ If[ VisualDSolve`VisualDSolve`Private`showarrows, VisualDSolve`VisualDSolve`Private`perpUnitSlope, VisualDSolve`VisualDSolve`Private`unitSlope], VisualDSolve`VisualDSolve`Private`points, 2], Null]], Evaluate[ Apply[Sequence, FilterRules[{VisualDSolve`VisualDSolve`Private`opts}, Options[Graphics]]]]]]), Options[VisualDSolve`VisualDSolve`DirectionFieldPlot] = { VisualDSolve`VisualDSolve`FieldColor -> GrayLevel[0], VisualDSolve`VisualDSolve`FieldLength -> 0.8, VisualDSolve`VisualDSolve`FieldThickness -> Thickness[0.004], VisualDSolve`VisualDSolve`FlowField -> False, AspectRatio -> GoldenRatio^(-1), PlotRange -> Automatic, VisualDSolve`VisualDSolve`FlowThickness -> 1., VisualDSolve`VisualDSolve`FieldLogScale -> 1.}, TagSet[VisualDSolve`VisualDSolve`DirectionFieldPlot, MessageName[VisualDSolve`VisualDSolve`DirectionFieldPlot, "usage"], "DirectionFieldPlot[f, {t, tmin, tmax, tstep}, {x, xmin, xmax, \ xstep}] gives an array of lines showing the slopes defined by the \ differential equation dx/dt = f(x,t). tmin, tmax, and tstep give the range \ and step-size for the t-values, and similarly for the x-values. The form \ DirectionFieldPlot[{f, g}, {x, xmin, xmax, xstep}, {y, ymin, ymax, ystep}] \ also works, and is used for autonomous systems dx/dt = f(x,y), dy/dt = \ g(x,y)."], VisualDSolve`VisualDSolve`Private`sou = VisualDSolve`VisualDSolve`PhasePlot, VisualDSolve`VisualDSolve`Private`asp = 0.6193415637860081, TagSet[VisualDSolve`VisualDSolve`FieldColor, MessageName[VisualDSolve`VisualDSolve`FieldColor, "usage"], "FieldColor is an option to DirectionFieldPlot, PhasePlot, and \ PhaseLine that colors the flowing fish or vectors. Choices are: a single \ color or one of Hue, GrayLevel, RandomHue, or RandomGrayLevel. Hue and \ GrayLevel color the fish or vectors by relative lengths using hues or grays. \ FieldColor is also an option to PhaseLine, where it must be a single color."], TagSet[VisualDSolve`VisualDSolve`FieldLength, MessageName[VisualDSolve`VisualDSolve`FieldLength, "usage"], "FieldLength is an option to PhasePlot and DirectionFieldPlot that \ sets the length of the field lines or of the flowing fish. The default \ setting is 0.8, which uses 80% of the available space."], TagSet[VisualDSolve`VisualDSolve`FieldThickness, MessageName[VisualDSolve`VisualDSolve`FieldThickness, "usage"], "FieldThickness is an option to PhasePlot, PhaseLine, and \ DirectionFieldPlot that sets the thickness of the field lines."], TagSet[VisualDSolve`VisualDSolve`FlowField, MessageName[VisualDSolve`VisualDSolve`FlowField, "usage"], "FlowField is an option to DirectionFieldPlot, PhasePlot, and \ PhaseLine. It replaces the traditional arrows by curvy fish shapes, randomly \ placed."], TagSet[VisualDSolve`VisualDSolve`FieldLogScale, MessageName[VisualDSolve`VisualDSolve`FieldLogScale, "usage"], "FieldLogScale is an option to PhasePlot, PhaseLine, and \ DirectionFieldPlot that scales the flowing fish or vectors proportionally to \ the longest fish. This is useful when a relatively few fish are several order \ of magnitudes longer than the fish in the interesting regions of the plot. \ FieldLogScale \[Rule] 10 scales all the fish to the same length. Default is \ 1, which causes no change to the relative sizes. A typical setting in a \ troublesome situation might be 2, 3, or 4."], TagSet[VisualDSolve`VisualDSolve`FlowThickness, MessageName[VisualDSolve`VisualDSolve`FlowThickness, "usage"], "FlowThickness is an option to PhasePlot, DirectionFieldPlot and \ PhaseLine that, when fish are used, scales the head size, and so the overall \ thickness, of the fish. Default is 1."], TagSet[VisualDSolve`VisualDSolve`RandomGrayLevel, MessageName[VisualDSolve`VisualDSolve`RandomGrayLevel, "usage"], "RandomGrayLevel is a possible value to the FieldColor option for \ DirectionFieldPlot and PhasePlot which colors the fish or vectors with random \ shades of gray."], TagSet[VisualDSolve`VisualDSolve`RandomHue, MessageName[VisualDSolve`VisualDSolve`RandomHue, "usage"], "RandomHue is a possible value to the FieldColor option for \ DirectionFieldPlot and PhasePlot which colors the fish or vectors with random \ hues."], VisualDSolve`VisualDSolve`Private`gp = CompiledFunction[{ Blank[Real], Blank[Real], Blank[Real], Blank[Real]}, {{3, 0, 0}, {3, 0, 1}, {3, 0, 2}, {3, 0, 3}, {3, 0, 7}}, {4, 3, 8, 0, 0}, {{1, 7}, {7, 0, 0}, {15, 0, 0, 4}, {34, 3, 4, 0, 0}, {3, 0, 6}, { 7, 0, 0}, {15, 0, 0, 4}, {34, 2, 4, 0, 1}, {10, 1, 3}, {4, 3}, { 6, False, 2}, {10, 2, 3}, {3, 3, 5}, {7, 10000000, 0}, {15, 0, 0, 6}, {12, 6, 7}, {4, 20}, {7, 1, 1}, {21, 1, 2, 4}, {7, 2, 2}, {94, 264, 3, 0, 4, 2, 0, 2, 3, 0, 5}, {21, 0, 3, 4}, {7, 2, 2}, {94, 264, 3, 0, 4, 2, 0, 2, 3, 0, 6}, {18, 5, 6, 5}, {93, 57, 3, 0, 5, 3, 0, 6}, {94, 260, 2, 0, 1, 3, 0, 6, 3, 0, 5}, {21, 0, 1, 5, 6}, {93, 57, 3, 0, 6, 3, 0, 5}, {7, 1, 1}, {7, 2, 2}, {15, 0, 1, 6}, {15, 0, 2, 4}, {94, 260, 3, 0, 6, 3, 0, 4, 3, 0, 7}, {21, 5, 7, 5}, {12, 5, 7}, {2}}, Function[{ VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b, VisualDSolve`VisualDSolve`Private`c, VisualDSolve`VisualDSolve`Private`d}, If[ And[ VisualDSolve`VisualDSolve`Private`d == 0, VisualDSolve`VisualDSolve`Private`c == 0], 10000000, Sqrt[(VisualDSolve`VisualDSolve`Private`a VisualDSolve`VisualDSolve`Private`b)/ Sqrt[(VisualDSolve`VisualDSolve`Private`b VisualDSolve`VisualDSolve`Private`c)^2 + ( VisualDSolve`VisualDSolve`Private`a VisualDSolve`VisualDSolve`Private`d)^2]]/2]], Evaluate], VisualDSolve`VisualDSolve`FreehandAttempt[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`startval, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := With[{VisualDSolve`VisualDSolve`Private`vd = VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`eqn, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, VisualDSolve`VisualDSolve`DirectionField -> True, Evaluate[ Apply[Sequence, FilterRules[{VisualDSolve`VisualDSolve`Private`opts}, Options[VisualDSolve`VisualDSolve`VisualDSolve]]]]], VisualDSolve`VisualDSolve`Private`guessed = ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`GuessedSolution, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`FreehandAttempt]], VisualDSolve`VisualDSolve`Private`vdTrue = VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`eqn, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, Evaluate[ Apply[Sequence, FilterRules[{VisualDSolve`VisualDSolve`Private`opts}, Options[VisualDSolve`VisualDSolve`VisualDSolve]]]], PlotStyle -> Thickness[0.004], VisualDSolve`VisualDSolve`InitialValues -> VisualDSolve`VisualDSolve`Private`startval]}, Manipulate[ Show[VisualDSolve`VisualDSolve`Private`vd, If[ VisualDSolve`VisualDSolve`Private`trueSolQ, VisualDSolve`VisualDSolve`Private`vdTrue, {}], Graphics[{Red, Thick, Line[VisualDSolve`VisualDSolve`Private`p]}], Apply[Sequence, FilterRules[{VisualDSolve`VisualDSolve`Private`opts}, Options[Graphics]]]], {{VisualDSolve`VisualDSolve`Private`p, If[ ListQ[VisualDSolve`VisualDSolve`Private`guessed], VisualDSolve`VisualDSolve`Private`guessed, { VisualDSolve`VisualDSolve`Private`startval}]}, Locator, LocatorAutoCreate -> True}, {{ VisualDSolve`VisualDSolve`Private`trueSolQ, False, "show true solution"}, {False, True}}, TrackedSymbols -> Manipulate]], Options[VisualDSolve`VisualDSolve`FreehandAttempt] = { VisualDSolve`VisualDSolve`GuessedSolution -> None}, TagSet[VisualDSolve`VisualDSolve`FreehandAttempt, MessageName[VisualDSolve`VisualDSolve`FreehandAttempt, "usage"], "FreehandAttempt[eqn, {t, tmin, tmax}, {x, xmin, xmax}, {t0, x0}] \ provides a demonstration allowing one to compare an approximate solution \ derived from the slope field to the true solution of eqn passing through {t0, \ x0}."], TagSet[VisualDSolve`VisualDSolve`DirectionField, MessageName[VisualDSolve`VisualDSolve`DirectionField, "usage"], "DirectionField is an option to VisualDSolve that when True, causes a \ field of slope lines to appear."], TagSet[VisualDSolve`VisualDSolve`GuessedSolution, MessageName[VisualDSolve`VisualDSolve`GuessedSolution, "usage"], "GuessedSolution is an option to FreehandAttempt that specifies the \ positions of points corresponding to a guessed solution."], VisualDSolve`VisualDSolve`Private`showNumQ = False, VisualDSolve`VisualDSolve`Private`fieldSteps = {15, 15}, VisualDSolve`VisualDSolve`Private`ptsQ = False, VisualDSolve`VisualDSolve`Private`fieldQ = False, VisualDSolve`VisualDSolve`Private`pts = {{0., {1., 0.95}, {0., 80.}}, { 0., {1.5, 0.95}, {0., 80.}}, {0., {0.05, 0.05}, {0., 80.}}, { 0., {0.23875, 0.145}, {0., 80.}}}, VisualDSolve`VisualDSolve`Private`ptCol = { GrayLevel[0], PointSize[0.015]}, VisualDSolve`VisualDSolve`Private`saveSol = False, VisualDSolve`VisualDSolve`Private`lastQ = False, VisualDSolve`VisualDSolve`Private`fastPlQ = True, VisualDSolve`VisualDSolve`Private`method = NDSolve, VisualDSolve`VisualDSolve`Private`stayIn = True, VisualDSolve`VisualDSolve`Private`solName = "Solution", VisualDSolve`VisualDSolve`Private`compWin = Automatic, VisualDSolve`VisualDSolve`Private`winShad = None, VisualDSolve`VisualDSolve`Private`rain = False, TagSet[VisualDSolve`VisualDSolve`ShowNumberOfSteps, MessageName[VisualDSolve`VisualDSolve`ShowNumberOfSteps, "usage"], "ShowNumberOfSteps is an option to VisualDSolve, PhasePlot, and \ SystemSolutionPlot that yields a printed message with the number of steps \ that the numerical solver used (same as the number of interpolating points in \ the interpolating function representing the solution)."], TagSet[VisualDSolve`VisualDSolve`FieldMeshSize, MessageName[VisualDSolve`VisualDSolve`FieldMeshSize, "usage"], "FieldMeshSize is an option to VisualDSolve and related functions \ that controls the mesh size of the direction field. It can be a single \ integer or a pair of integers."], TagSet[VisualDSolve`VisualDSolve`ShowInitialValues, MessageName[VisualDSolve`VisualDSolve`ShowInitialValues, "usage"], "ShowInitialValues is an option to VisualDSolve and related functions \ that when set to True, causes the initial-value points to be superimposed on \ the image."], TagSet[VisualDSolve`VisualDSolve`SymbolicSolution, MessageName[VisualDSolve`VisualDSolve`SymbolicSolution, "usage"], "SymbolicSolution is an option to VisualDSolve that requests the \ solver to precede the numerical approach with an attempt at finding a \ symbolic solution."], TagSet[VisualDSolve`VisualDSolve`Isoclines, MessageName[VisualDSolve`VisualDSolve`Isoclines, "usage"], "Isoclines is an option to VisualDSolve that causes positions of \ constant slope to be joined."], TagSet[VisualDSolve`VisualDSolve`IsoclineValues, MessageName[VisualDSolve`VisualDSolve`IsoclineValues, "usage"], "IsoclineValues is an option to VisualDSolve that specifies which \ slopes are to have isoclines. Default is {0}. If it is an integer, then that \ many equal-spaced contours are drawn."], TagSet[VisualDSolve`VisualDSolve`InflectionCurve, MessageName[VisualDSolve`VisualDSolve`InflectionCurve, "usage"], "InflectionCurve is an option to VisualDSolve that causes the \ inflection curves to be drawn."], TagSet[VisualDSolve`VisualDSolve`InitialPointStyle, MessageName[VisualDSolve`VisualDSolve`InitialPointStyle, "usage"], "InitialPointStyle is an option to VisualDSolve and related functions \ that specifies the style of the initial-value points. It can be a list or a \ single graphics primitive."], TagSet[VisualDSolve`VisualDSolve`InflectionStyle, MessageName[VisualDSolve`VisualDSolve`InflectionStyle, "usage"], "InflectionStyle is an option to VisualDSolve that specifies the \ style of the inflection lines."], TagSet[VisualDSolve`VisualDSolve`IsoclineStyle, MessageName[VisualDSolve`VisualDSolve`IsoclineStyle, "usage"], "IsoclineStyle is an option to VisualDSolve that specifies the style \ of the isoclines that are specified in IsoclineValues."], TagSet[VisualDSolve`VisualDSolve`IsoclinePlotPoints, MessageName[VisualDSolve`VisualDSolve`IsoclinePlotPoints, "usage"], "IsoclinePlotPoints is an option to VisualDSolve that sets PlotPoints \ for the contour functions called for isoclines or inflection curves."], TagSet[VisualDSolve`VisualDSolve`IsoclineShading, MessageName[VisualDSolve`VisualDSolve`IsoclineShading, "usage"], "IsoclineShading is an option to VisualDSolve that shows a background \ shaded in gray according to the slopes. In its default form there are just \ two shades of gray, since the default setting for IsoclineValues is just {0}. \ This will generally be good enough, though you can get more regions by \ specifying Contours to be several values, or an integer, in which case a \ uniform set of levels is used."], TagSet[VisualDSolve`VisualDSolve`SaveSolution, MessageName[VisualDSolve`VisualDSolve`SaveSolution, "usage"], "SaveSolution is an option to VisualDSolve and related functions that \ stores the solutions in a variable called 'Solution' so that it can be \ accessed after the use of VisualDSolve. It does not work if symbolic \ solutions are sought. In the case of PhasePlot, only the plotted solution are \ saved; i.e., if only two variables out of, say, 4, are plotted, only the \ plotted ones are saved. The saved object is an expression in t, not a pure \ function; to evaluate it at t0, use Solution /. t \[Rule] t0."], TagSet[VisualDSolve`VisualDSolve`SaveLastPoint, MessageName[VisualDSolve`VisualDSolve`SaveLastPoint, "usage"], "SaveLastPoint is an option to VisualDSolve, PhasePlot, and \ SystemSolutionPlot that saves the final point(s) in LastPoint."], TagSet[VisualDSolve`VisualDSolve`SolutionName, MessageName[VisualDSolve`VisualDSolve`SolutionName, "usage"], "SolutionName is an option to VisualDSolve and related functions that \ accepts a string (!), which will become a global variable used to store the \ solution if SaveSolution is True."], TagSet[VisualDSolve`VisualDSolve`ComputeWindow, MessageName[VisualDSolve`VisualDSolve`ComputeWindow, "usage"], "ComputeWindow is an option to VisualDSolve and PhasePlot that works \ when StayInWindow is True. If set to Automatic, then computation shuts off at \ the viewing window, but a setting of {x0, x1} (VisualDSolve) or {{x0, x1}, \ {y0, y1}} (PhasePlot) causes that setting to be used instead."], TagSet[VisualDSolve`VisualDSolve`WindowShade, MessageName[VisualDSolve`VisualDSolve`WindowShade, "usage"], "WindowShade is an option to VisualDSolve, PhasePlot, and \ PoincareSection that, if set to a color or gray shade, places a shaded \ rectangle in the viewing window."], TagSet[VisualDSolve`VisualDSolve`Rainbow, MessageName[VisualDSolve`VisualDSolve`Rainbow, "usage"], "Rainbow is an option to VisualDSolve, FlowParametricPlot, PhasePlot, \ and SystemSolutionPlot that causes the curves corresponding to different \ initial values to appear in a variety of hues. It also works with \ PoincareSection, in which case different hues are used for the points."], VisualDSolve`VisualDSolve`Private`NormalForm[ Pattern[VisualDSolve`VisualDSolve`Private`eqns, Blank[List]], Pattern[VisualDSolve`VisualDSolve`Private`unks, Blank[]]] := ReplaceAll[ First[ Solve[VisualDSolve`VisualDSolve`Private`eqns, D[VisualDSolve`VisualDSolve`Private`unks, Part[VisualDSolve`VisualDSolve`Private`unks, 1, -1]]]], Rule -> Equal], VisualDSolve`VisualDSolve`Private`NormalForm[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`unk, Blank[]]] := ReplaceAll[ Part[ Solve[VisualDSolve`VisualDSolve`Private`eqn, D[VisualDSolve`VisualDSolve`Private`unk, Part[VisualDSolve`VisualDSolve`Private`unk, -1]]], 1, 1], Rule -> Equal], VisualDSolve`VisualDSolve`Private`unks = { 60508443[$CellContext`t], $CellContext`y[$CellContext`t]}, VisualDSolve`VisualDSolve`Private`xminn = -0.43, VisualDSolve`VisualDSolve`Private`xmaxx = 2, VisualDSolve`VisualDSolve`Private`cwx0 = -0.43, VisualDSolve`VisualDSolve`Private`cwx1 = 2., VisualDSolve`VisualDSolve`Private`xR = 2.43, VisualDSolve`VisualDSolve`Private`pRange = {{-0.43, 2.}, {-0.095, 1.41}}, TagSet[VisualDSolve`VisualDSolve`GridPoints, MessageName[VisualDSolve`VisualDSolve`GridPoints, "usage"], "GridPoints[n] is a possible setting of the InitialValues option for \ VisualDSolve and causes an n-by-n grid to be used."], VisualDSolve`VisualDSolve`Private`fixSty[ Pattern[VisualDSolve`VisualDSolve`Private`s, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`n, Blank[]]] := Module[{VisualDSolve`VisualDSolve`Private`solSty = ReplaceAll[VisualDSolve`VisualDSolve`Private`s, Automatic -> {}]}, If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`solSty]], VisualDSolve`VisualDSolve`Private`solSty = { VisualDSolve`VisualDSolve`Private`solSty}]; If[ Or[VisualDSolve`VisualDSolve`Private`solSty == {}, Apply[Or, Map[Not[ ListQ[#]]& , VisualDSolve`VisualDSolve`Private`solSty]]], Array[ VisualDSolve`VisualDSolve`Private`solSty& , VisualDSolve`VisualDSolve`Private`n], VisualDSolve`VisualDSolve`Private`solSty]], VisualDSolve`VisualDSolve`$VDSColor = Hue[0.67, 0.6, 0.6], VisualDSolve`VisualDSolve`Private`stopOpt = VisualDSolve`VisualDSolve`Private`StoppingTest -> Not[ And[-0.43 <= 60508443[$CellContext`t] <= 2., -0.095 <= $CellContext`y[$CellContext`t] <= 1.41]], VisualDSolve`VisualDSolve`Private`nSoln[ Pattern[VisualDSolve`VisualDSolve`Private`ut$, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`xVals$, BlankSequence[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`t1$, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t2$, Blank[]]}] := ( VisualDSolve`VisualDSolve`Private`stopOpt = If[VisualDSolve`VisualDSolve`Private`stayIn, VisualDSolve`VisualDSolve`Private`StoppingTest -> Not[ And[ VisualDSolve`VisualDSolve`Private`cwx0 <= \ $CellContext`x[$CellContext`t] <= VisualDSolve`VisualDSolve`Private`cwx1, VisualDSolve`VisualDSolve`Private`cwy0 <= \ $CellContext`y[$CellContext`t] <= VisualDSolve`VisualDSolve`Private`cwy1]], WorkingPrecision -> VisualDSolve`VisualDSolve`Private`wp]; First[ If[Length[VisualDSolve`VisualDSolve`Private`pts] > 1, Check[ VisualDSolve`VisualDSolve`Private`stemp = VisualDSolve`VisualDSolve`Private`m[ Join[VisualDSolve`VisualDSolve`Private`eqn, Map[ReplaceAll[ Part[#, 1], $CellContext`t -> VisualDSolve`VisualDSolve`Private`ut$] == Part[#, 2]& , Transpose[{ VisualDSolve`VisualDSolve`Private`unks, { VisualDSolve`VisualDSolve`Private`xVals$}}]]], Map[#[$CellContext`t]& , Map[First, Map[Head, Map[ First, VisualDSolve`VisualDSolve`Private`eqn]]]], \ {$CellContext`t, If[ And[ VisualDSolve`VisualDSolve`Private`stayIn, { VisualDSolve`VisualDSolve`Private`t1$, VisualDSolve`VisualDSolve`Private`t2$} == {0, 80}], 2 VisualDSolve`VisualDSolve`Private`t1$ - VisualDSolve`VisualDSolve`Private`t2$, VisualDSolve`VisualDSolve`Private`t1$], VisualDSolve`VisualDSolve`Private`t2$}, VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Private`method, VisualDSolve`VisualDSolve`Private`newOpts$12998], Evaluate[VisualDSolve`VisualDSolve`Private`stopOpt]], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "mxstep"], { VisualDSolve`VisualDSolve`Private`ut$, VisualDSolve`VisualDSolve`Private`xVals$}, $CellContext`t, Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`stemp, 1, 1, 2]], 2]]; VisualDSolve`VisualDSolve`Private`stemp, MessageName[NDSolve, "mxst"]], VisualDSolve`VisualDSolve`Private`m[ Join[VisualDSolve`VisualDSolve`Private`eqn, Map[ReplaceAll[ Part[#, 1], $CellContext`t -> VisualDSolve`VisualDSolve`Private`ut$] == Part[#, 2]& , Transpose[{ VisualDSolve`VisualDSolve`Private`unks, { VisualDSolve`VisualDSolve`Private`xVals$}}]]], Map[#[$CellContext`t]& , Map[First, Map[Head, Map[ First, VisualDSolve`VisualDSolve`Private`eqn]]]], \ {$CellContext`t, If[ And[ VisualDSolve`VisualDSolve`Private`stayIn, { VisualDSolve`VisualDSolve`Private`t1$, VisualDSolve`VisualDSolve`Private`t2$} == {0, 80}], 2 VisualDSolve`VisualDSolve`Private`t1$ - VisualDSolve`VisualDSolve`Private`t2$, VisualDSolve`VisualDSolve`Private`t1$], VisualDSolve`VisualDSolve`Private`t2$}, VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Private`method, VisualDSolve`VisualDSolve`Private`newOpts$12998], Evaluate[VisualDSolve`VisualDSolve`Private`stopOpt]]]]), Attributes[VisualDSolve`VisualDSolve`Private`ut$] = {Temporary}, Attributes[VisualDSolve`VisualDSolve`Private`xVals$] = {Temporary}, Attributes[VisualDSolve`VisualDSolve`Private`t1$] = {Temporary}, Attributes[VisualDSolve`VisualDSolve`Private`t2$] = {Temporary}, VisualDSolve`VisualDSolve`Private`cwy0 = -0.095, VisualDSolve`VisualDSolve`Private`cwy1 = 1.41, VisualDSolve`VisualDSolve`Private`stemp = {{ 60508443[$CellContext`t] -> InterpolatingFunction[{{-80., 80.}}, { 3, 11, 1, {642}, {4}, 0, 0, 0, 0}, CompressedData[" 1:eJw12Hk0lVv8P/BwdONSlFKGzPOQY57Pm3OOYz7nPKcQRSWJUnGVoQGlZIik 5FKKDMnYgEZn06RSKiGlNOlqcEUZiurn9/3e715rr9fz+az92evz/LGf9ayt tmYzFSI6Y8YMkem5+/8//M9YSgK/+k9ZfBaQ0KGpRVZXBaT95XezTbEC0uFk ustbWUC6S8JbjVsoEls7xR3dTRGFy5ndV5gUuXJDNWg3jSJC0fAQuU4+acH5 DWWlfHJz11Sk9TY+KfSMe1VrxicxCmPeOsM8whuIulZYwyN6DUMGCzbyyEof mpGnGY+oD9JX0Ea5JNUoIHDLHi4Zjkhe1SvLJcd3LnJxyPQmbgdqDAolvcno Mabs731epLjq6ViQmBfxvhrRSxI8CWfT/CWuCp6EoXotqf2CB7F+vPaJD9eD 0JOldF5+cCerauSeu5S6k4NPlbJqV7lP96vFXKjkToYMjcYTu93IYl+Lyg+H 3Mi1JJbRdw03ElAlqJ1V70p+dK2hL3RxJXkiUed1ujnEyjDJwmo9h3T6HGx0 +e5C9Mv/2vOqxoUkjvtw49e6kE6OraKcwnQ+T/mf6nY2SRiYcZ6zl022LZ0v rWXKJhuJXqhoH4sEGzo296WzyPI8SvGaNYvwaKFb8/uZZK/SLdWeAia5Yq7V Jk8xyRfP5BifWUyiHfJW/UiTMwnY6fygI9qZ1HVe/vHvImdCMzbTkRQ6keX7 KgVaa51I9UuNREg4EVGrY1UBNSC+WXI92wQgxotWmIQuAJFy4cypPccgV5d3 XcuyZpANESEbtzQ5EsWkbwp8liO5e3jPHfpdBxJ/em7sXJ4D0btapP210570 tJt0dgTYk5Bzn2hOH+zI8OEy85ptdmRnzOq1ijQ7IuGvdHh/ti3Jte++PrrY lqirHPq6psqGREdQCn3SNuT2lblOAZutiYJkR2j3QysS4ZeTKTC1IqRMUN+e Y0nmjs7r9Ri1ICHMJ6KtPhaE1llafuaBOTm1LsbzgIs5cZ5wHd7cZEZepyrk UpZmJFHxs61FjSlRqb7WJ69tSpocs5J/HKeTjOeHSK4JnfjH5k6ZXjchuvPz rduXmZDPwXYfuh4uIfuPO6+eM2ZMNLvdejiKxoTI8PmJMCIr3P3uXAwxJBN7 gpyG0wzIkWvrLunV6RP6eAR9TaceuW+ytSL/hy4JC9+h1qGiS8RL9vz9J1uH FL1Ik2WFaxMH+UOpO7K0SA/vb5H6C5pka9rJuMEeDSJ7o3xY67c6qf5ZExao qU7crRpe57qpkRT7xQk3nFRJ2h4pm3d/LSYzM3v/YqxVIrvzqmrylyqQW1tz bCXGF5I/BfG3Yv6WJ1yT1dR7uwXksLTry6Uv5cjTj8bh1xPnEeXW+WN0jblk delU0smbMuS5x/WS1Q5zyDfPA+zdQ1JE2tv3fXGRJNHmqqVcF8wiDN4nnXfi M4kfv76VdlGMZNRmjt47LUL2KD5kaZv9Fn7u3l14QW5S6HPYYsJ5bEw4fWD5 j7pHhEsVLH2FUYNCR+sjXXkJA0J9n2/LojLeCvUGys4cNX0h/K0RUuHu2SE8 I3ThTd5rERKfiC/npK4JjY29sDnpgtDiT39V38/lQvuBdTMYvulCo//JJ/8X b//PDf8ZIPy/L9Ojx2pJqtwAxv+64T+3M5QDe1b5bU/+L05nxOT93GLfX/5f /gLj15BZ6lzaNcYX3PZbd6uFkWj5UM2o7TEjpc1eXseil8E5u3SfTPsbhseU ZNKBPf8wuJzm7ZLWnxklX+3GW+KHGUXMo3WJPd8YhTkjYY7WE4yCt14aU7mT jDyzit5Lo78Y95xE79npi2DdDVbRk5ViEOGkxERki+PYnTteM2/+AStPKc0T ExJ4/MD7h5WhFCL42Q8fBs0G7WNYxwU3GVAG6Y5JwbI4sbGqwmvnXAxW35dT ODoPtkP/Jryvk8N+E5lP5+7OR1ck3Sfh3QJonKeaPX7JI/LbX4YLFy5Ck8WR o+/oCpCKaRA966GI5Re7I3aGKKH8+8RTtwRl+MtI33W4thjSOmpX6JMqeFWo 0HXomCpsz5Q8yLBTQ0698e19z9QwSC4KE+PU4dLmfDF+oQZOdrfVRTdq4ElG bpWJtybil7MyCu5oQlV7ZMNMthZujZzwiCRa2CD0Mui104ZsxqQkp1EbjX4V H8+a6mCllu9dpRodiI3QzqTo6aKi6VzqSIkuuOmrwlaq6mHUd7Zba4EeVjOf 68WK6OOB8WlJ3VB92Cls/dTdpo9ycee2FFMDyA3PrrbKM0Bi7/MD//w0wODt 05uOBhvC//xWLueOIW4VOpuMGxvBLG2ObPlhI6io+pm/HjCCVMNJX0UHY0x4 fIhflm2M/tf0wqx+YzyKiW++Y7ME7xd8eFO5awl+1PvSMq8vQYr+27nWNBPI xudrVGib4FxAs8MbZxNQDgO+ikEm+Pg040zgNhPsjqb/LDpgAgWZLm5/iQnO VsYX6141gRtHZXRDhwlev7nOqf1ogrhd6/NHROhIOkNF3ZSjI7XL3j1Ph46D ojrqG2zpyDOW/eHgRcdJ/8lHMqvoOL2vv+JtFB1159qTGvbS0fjy0vLUPDqE kiX0FZV03LbMlFjSREf7mtjXIo/o6M5cc+nJWzr6Lntml4/RcUrzplGJtClm 6XDG61VNsVHvDrltZopHBh5pPS6msDS+L/i03BT5JlzlnxtN8dv00fvZiaZY ayGoU80xBT87xvh9pSkcBguqKm+YQt+N6Ee+MIV86bvTlmOmoIlI6EzNNsPw CqPSZh0zvLjI10iBGe6d4UQHB5rh0jGHm4wdZijLNFuglG+Gw4l6oRONZtgd pXLxSacZNq+dL3H2qxlW+vzpf0DWHGm6TW+PWZuj8ceWiKogc/S3aYxf2WeO uSe6Eu9Vm4MRmSr5/Ik5Ipj2hz9OmiN//pDyD3ULlAsS0o/7W+B89pzvOGQB 0n5i3bs7FrgvbfIkRcQSPR7EycDGEu9TebUPtlji6+1XSlGnLdF579irdROW aGz3KwlwtUJ+h9x6Xp4VdnQ/NGAPWCHwecaQjbU1nPpczxvvt4bGW1qMxlNr HP/bOfeWig3keYn1YaE22MVQljU9boP3xpc3/nhsA9K56eT+3zYo2KHxZIGh LbZqPP2j1M8WvLsZdmZ7baEf6bS5+awtaAvHirkvbdHXdKbrhaQdLoUESW60 ssNhKTnHH8F22HS+NXL/QTusjUzaGnrBDsuX2Ma5PLUDd3Bkh9aUHViVlYk0 VXvYhK1Nfsu0xxId5f0tofbQ7O9ML0q3x6JTmVmJtfaYs5qTE9RhD5rKjKOO 4/b40XsxX1nRAUP5kYVTjg5456df/HyNA76dURx8lOEA2k8p69YGB3y4cVn4 s9sB9zPWc8y+O+Dc0gXt6xUckat0w6fQzhHb30W+7FjhiKAqlXUSuxzBir4/ 6HjCEbr227dGE0cczNintPr7tF0Oryt0GchSHS0d8WUgM7wq3C6FgQMXgpck NzCQ8UvhW1s/Ay6aYb1pkgD7zg3HJerTblIt6rABWPN2iMXyp73YHaIUBjBX mrWSxGlFs/RD8qYt/5ghUQc4e7oMVd+edriIT/UBo4GnVtdMARVtJZGSCk5Y YVuWtM7KCTKny7Nbljrh+vyKosVRTojZc+ZsfJYT9Icrm7uqnPAysPqR6V0n nHOorJB674R9ShVJ70Wc4T9ZtpwoO8P4WQk938YZYpeKJaKXOaP76MnXXpHO qNxWeEnngDMSlh3LFqlwhsA8P+z5DWfozstzqn/ljKnhI4uyppzRtKlwW/Fc JhI/lXXU6zLhtL7W5I4jE2L9jQd6lzLh6xR4VnwdE5XHaZ3GMUx4n+f4xe9l YqQ17fnNHCZyX94PlC1mwuabzJsVdUy8kFgacrqJCQWfKyyzu0z4FKtrNnUy kfNvqpjbayYe2g6/6fjMhFSKX0vgBBM0w9vjciIsTD20MLonwcJjGeeFzTIs VPC8xRrlWUg86P9v1WIWfB+u6ynWYsFY5q8beYYsiPMSajPNWOjNSs9PtmXh wfCpfBWwIBRczb/MZuFs/ZP8ZR4snJIfzP/CY+FwnHhBug8L+54rF2ivYCHW wbKgeTULYSe8C1aEshAgElowvpEFr+CEgkNRLDjePFpgFMuCiU5dQetOFtRS WwuC97DwKd9tq2E6C1Lb07jcbBYMA+7pRR1lwdNOinbkOAsRil4vG0+xcGDy wMVnFSxUP39w6GftdH9X5kSoNrBgPkffeGcTC/lrWEM9t1gQaQiss2xnIVQi LjKnm4X7K3JMv/RNr6ur/uo5ML1OrPVCxRcWAk8Zvo/6wYI6M1vensbGP29G XcVns1G52z/+gTwbm9WFlUfV2DBv0XixyoCNidX7Z+tbsFF6K6q8HmwIDFbC yZONGQc5PW2+bFR/o0f5BbPhv1zpz3eb2JjVNLNkczwb9erD9pN72XBrONi4 PJeNl24mphfL2Ih60V61oJGNmZGbdbbeZqOANqe4o5uNJXk1SqYDbCjUzcsI EnUBrTV2MkPJBUN9L8IvW7rg2bjzs394Lrg557Tb/A0uqNORvuS81wWfinR1 ukpcoKPEOhJ2wwXBuUFiP9+6oFBme+RBMQ6epeX2aWhwMF/8nFejMwf8hPtX 3NdwsJ4Zw92dxUHCH2pvL13l4Mi9u9uGP3BQlRUtqSfviuuCxYWrWK54Jt9K z4t0xZfnkTfbC13xQvbR4OVmV9zhmCwoe+eK+p1Zjtl/uKHo/L/rdui74cAH r6xQLzfEqVQ3UlvcELJM6pVDjhtktPze373ghivfTn327XKb/o8aGnk37gbZ w3bfIxe542pwyu9ftu7oMmm53LrMHV9+Tm09tMUdkves6CvSpzX82sAqmvZA jb1Rozsk/g1rmX9/Wq6W668309a9uv9+YlrZY4L22R6QiPLtadSctmNu0Enb ac0fvNvP84Dr5J73Lms8sL/FZoAW7YHbqUMfWvZ6YCa/9FPiUQ+4LAwYdKzw wN4+maGpyx64WXbry+U2D9A27RiJfekBpoXpN8svHtgz9c/oNxFPtFw/Pn5u nidE0wXft2h5womSmDS28kRQ7a6tl909sUvq2xA70BOHrY3D4zZ5onLt+ndV u6brDhYHvsr0RM/V3qfzTnhiaGCBgFPriZnz+ffjhZ5Qdkrn1LR7wjziZvPr Pk+ULPsxMDLmCTnHJTK02V5I1l5rNV/LC6Oz/w7UtvdCyPj9vVYCL3T2iVa7 hnuB3Wr1ZHmSFxrqNk6G53mBUrdLPHrBC0M5EuI3HnohQ/xp6pfPXtCLKZut LOGNWwPROW5a3gj2Zy7c5uSNGW2yx4tXeuO4wyu19jhv2NbWlE0e8Ua36k4D 3XPeiD7kUbf0gTd6bG0WJg55g/FWO7FShovSdLmBLjoXkuaiPFEBF1t6hxqN ornoSn6hsvwIF3ZG91KSG7hYk7cy7lo3F6liX8LHJrjws3KqkZfm4dNGSZ0L yjzsKu44wTPmYe7TYwsHHXkolV6XncrlwZq5RFJ7FQ9tsRO7W7bwEFTTPBmY xMPI27ToyWwe9i1aOni0mIdFXOV15ud5YEqzRuOu87DpXniysIOHvNTseeLv eGjhXCx2/8bDoHgf/SCND/kb4s2dcnw47TbkKWrx4cWozD5hyofflF6HBvhY e+m03GkvPjZv0/ExDODDN/es7ZcQPhwb7FQubOFDu+umWOx2PmaPcQfs9vEx KTuxMC2TjwGjk25Pc/nodHON1z7Bx8ptj+K+lPLRX+wfd7mKj4j2t7HJ5/kY m9wY632Zj126YzELm/mYuSwh5s1tPrKSZsVUPeCj0KxX2NTBR01/7axHT/kQ +zgaXd473ce/dq93vuKjaiTJa+k7PmaM376kP8DHsklpbZHPfFT8FhzqHuLj l1j+r+qvfDy26l9aPsZH2QaTypPf+Yg7sV0kf2r6fTtu+eb85kPtj7k1GaIU Rm1X0vaJU7iz6bR/wiwKx4u/1sX+SSGyy/GPqNkU2JJpKzfIUljk2Hl+rRyF wUhVyUB5Cs2lG1b5KlDoYJygSyym0Fv/6cwfahT6Daw1Z2pSGCpKPk7ToTAh /2iBmD4FkUzlgyJGFCRp4RIzTCjIxTfs/mVK4cb+Z1vYVhSij/4KzLCjoFmm 7tXBoPDkgoudAovC3uvheqtdKVg8zpQ/7Tm9/6tz4kM8CtU/ipu6l03XyeXE EH8K9sZ7TCqCKNBc//qQvZbCvdXBxfFhFHK2CwKCN1EIOMKU8/yLwk+GZs+C OAonP9IKX++i4Hykf01V8vS+jFs6MWkUUj6WfXY6SEH/SMpZqVwKbYz127oL KOT1++ksLqEQnO72dG0VBWO6bWrlBQrfu/RtR65SuLlD8ZP1TQoH1aWOJdyn YFiu+qHmGYVWAwvLl/9M19W57ZEepfDbPPChvagABZeilDfOEcDKMSW8QEmA xs31Qn8jASyL3sopOArQ8Fg2vMd7OqZBmBckQL3FJjm/LQJYhB4Lk0+ajvPu NnVlC2Cossy7/rQAp0r7XuQIBVAwDI+I6hJAekG9pc0nAf67B8T/A04292M= "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1QFHIAASBtBur8tKkiRJ0iVJkiRJkiRJkiRJkiRJ0iVJkqwuSZIkSZIk SZIkSZIkSZIkSZIkSZIkSZJ7e8MzP+D7xvy7/j/lrf8ICAj476+A/8/fFUgQ vwkmhFDCCCeCSKKIJoZY4ogngUSSSCaFVNJIJ4NMssgmh1zyyKeAQooopoRS yiingkqqqKaGWuqop4FGmmimhVbaaKeDTrropode/tBHPwMMMsQwI4wyxjgT TDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5F1xyxTU3 3HLHPQ888sQzL7zyxjsffPLFNz8EKMIvAgniN8GEEEoY4UQQSRTRxBBLHPEk kEgSyaSQShrpZJBJFtnkkEse+RRQSBHFlFBKGeVUUEkV1dRQSx31NNBIE820 8LfkbbTTQSdddNNDL3/oo58BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZ Y50NNtlimx122WOfAw454pgTTjnjnAsuueKaG265454HHnnimRdeeeOdDz75 4psf/h7/LwIJ4jfBhBBKGOFEEEkU0cQQSxzxJJBIEsmkkEoa6WSQSRbZ5JBL HvkUUEgRxZRQShnlVFBJFdXUUEsd9TTQSBPNtNBKG+100EkX3fTQyx/66GeA QYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaE U84454JLrrjmhlvuuOeBR5545oVX3njng0+++OaHgH/Kn0CC+E0wIYQSRjgR RBJFNDHEEkc8CSSSRDIppJJGOhlkkkU2OeSSRz4FFFJEMSWUUkY5FVRSRTU1 1FJHPQ000kQzLbTSRjsddNJFNz308oc++hlgkCGGGWGUMcaZYJIppplhljnm WWCRJZZZYZU11tlgky222WGXPfY54JAjjjnhlDPOueCSK6654ZY77nngkSee eeGVN9754JMvvvnh7+P/RSBB/CaYEEIJI5wIIokimhhiiSOeBBJJIpkUUkkj nQwyySKbHHLJI58CCimimBJKKaOcCiqpopoaaqmjngYaaaKZFlppo50OOumi mx56+UMf/QwwyBDDjDDKGONMMMkU08wwyxzzLLDIEsussMoa62ywyRbb7LDL HvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/wQ8C/5E8j/ ADh4RN0= "], CompressedData[" 1:eJwtl3c8198Xx62ISkLRMiokJQrJ+BySjOyElJmdlSh7k5UdGjbZe6/PNT72 DtnZeydKit+H7+/P5+N17rn3nHvf977ezLoWSvqEBAQEJEcICFbgVPr+fisQ EGjPL2cYYcU5b/v/x65XGTDGWFuPYpH/60IOL4ywo8zh83uHLELec1MHmx78 qOKA8fkqc8qvYIz7f1L+f3xYArUp5rNEY/J/3JWey2yLSXz1wYOAoA3PBPed CVwxLpJf3hHimZDAJ8c3zQ1js2CjRnSod3G3+7tiNNg7yIgPdQJN+pP2mMl4 J6f/uJpXVfIFpnbl6Vviw/g4tPPFCOt9T+Hjf+OPJpxV8sZ6If5P/81n+3mO MwxbXrCb++9wPUlNv+aisPq81Z1/Dvm+BLPgR6yLsD3F70O+XtvaGYHlm6P6 uYXn/X3VvORWfyyxnTbH1mG9ruEE/mIY5VNvY7cP9ZLOc8sRGJLcK9d2D8cX PyCdSsEcSw6t/W89bjZkSnkYDHeO//FDFr0qTl+IOWbwKP/MYT3EPB0v8zFe fo0XLx7quudxFekYB+GZbqZDTqW6zBuGseW1dPiP6Qmfun7CMheMkp8/ZL7W b7hCbNmGJystnvf3m8oqU7FYDvaYBIoD3dX1Pe8lHNbmF3/a4f65GuBSXjZh LRivRK0f8jNCgfFW7LS1I/HEYT2pvQpHO7A/HcNzGg7YZY3dYLode0YH15t9 qHe1FrA0YWWjJFNiDuslU/wtVooNMr7t9+lQRwWJr1IwrxhJGNMPx79lZ9Zu w1w7wSfYfhjPY9/6aAhjeIdB43D+ca24y//GMbpmhrWH9cQFlIjzTmOoy3Eh sgfMRG61YjmL+S3hf9LjgLUFR6bl5zAEyy6ppYe80l1lP4sxfLaks3bYD1MO 9dtTGHVUwniOEN8PMBtpfz2EoTal7OcmPDwfP9HDWszd6I7emwf6/tvXpoQt WFOBQFdKPBO6bpW6GE9hLSTy8nsO+gkEQZ+y17DBXQ4+jgf51xett1a3sK1P NOQpDvutGznrtIvlqGOocD2ody3Q3Of3PpZR1pZ+du+gvrjCOANC9PqxiMnF A+YfnRf+TIimHfZXNf7h42MjTudY7GMNR8uf1PzFc84/ar/v21gnqmevn/89 GO+3olY3ic1TCZPXOmCColU5ngmMy8+wnNYDZmInkCfYw9B1q7o+xecjaJry VCklBeUQgQjWg/mi5Fnr3lDC3csV8RwH51fmaMr0IjWsLOQcMTiox9PJk/zm GTihEfqu/aA/lkFMFi30UFRTJ6lCjGdajZM3nc9BXnFA6DoJnqM2iQNOnIdP pNpyvqR4rv7XEyR6DrxkMRoURw/yrS0uLdNBMRvnM0lyPPNk+zQK0oKnE2XJ Awo821qeJ6emBKlkzMwangmDvbP+5BHAzZSrTDePHeyP8HR2Xi6GSIHLceMg /vc78RsXiJD6yewzbHgm4mL76a9Gg87RU8lQH8xXjeWuE2dGxZMZme0H66Nd 8388exXJFMTH6R/UZ3Jc7tfQTcQzInSBZBffDz8lXeusW+gXc8qPHz/xnGj7 9Lc0DxK7Ghn/aRXPE3VfGJ7zIGy0yi3PeTxfEhAWSLiFPjZr2P6YwrNumEvH T050JvdOjNn4wfcjG2Frw4LSzlUG6nzH809NZZKsU+jFWTc/HjzvwzUHBW8K OMuX7gkH8V9yHjRZXgXiqRWGhmk8L/6O+LPECxelGM1Wl/DxS5sVBSsA7i/u KH/YbAXX7piZuWkxgPbUxemD/R7h+Xv7nQS0UhItp5K1gesC+UshrDRUokCl FBp8vaVYrw0xWSDf+/zRnwl/PgdFNcwW5EDok2ff4g28/j6j+aiDPNwQxBTe F8RzcGN1W5MchB0jzz0iic/3j45aIE0GbJ4cf+X3CK8TcZ1Q+ysJU6dJP17R wDMpvehathgMBoUMMunh2Ty3K9DhLsQSczt1GOI5N2yybpIJmPuGz/kcMP1J yF1iRRpPvfmqdPH5JbslH46LoPxZStO/anjmY6H+MimDCkbPRf6Twq/X9xXX n3Rl9G6qRzaDtw1E0nrmU0fUUU49z/61C20wvjSqXqepjQw9idYn8ec9LsvF LWpfF6VpXA1xGm4FEZYT6P1VfVT1cyNwoagV4nVXLU3yDdCbssL4U96twKSW dOeutyFSWl5IGnyM188o2HwgM0TCVJWybFfx/dYWDH9EqY+kdIYvXSLA59em SmD20EHSIo7VqostgN5rvXkS9gwZNpYRmg22AIHzoiN/jTIqvdn8VLajBVwe XTwaJyiBSLPHBQaa8ToXu3/OLA0ajhgmGmnD6wULBSWu9wGz+PH4qQF8vg+a I57lKkDiPxlIu9wCYwHe1veIdOHB+MbiDZJWGM+UdDEbNgTt/Fvfz19uhYmT VZHRQ2aQ0UC0sCfZCuuX6rnmt15Cu437uTGbVrA8rT4g+dca5NjsL6Wl4esZ l2Gd3nwDU2XCrBz48/YypvRBdYc9JEtX6E9exPe7N5WU/I4TnHyryKz9rA2C 9CjIey1coLYs8jxvbBuU8i/pbha5QsAL+7K+mTaI5Hh41zbQDdy+xbVF3mwH eiWZ1y133WFg6qdHrkM72DL261bnuIOG1Nz1q+ntQHU3cU1v0B3kSxlhYaAd fJqVgqsX3YFqp+pOEVkHpGaZnx6fcIfLUuQlknwd4Drag22rdIeW/tqgp3od 4DOf9TfIzh3+HtMU4jHvgDU2F4EFA3fojCcJILLtgJtC9MRIyR28Bd2y6906 oHoy2vq4sDtY/ZnpdvTvgKjZ0vI2FneIptLqtw7ogCYdV+/nl92B5E5jhem7 Dghm3Xq4zeQOTVpzznqBHTBg3UTuxeAOcyEMauN41ubf0nh40R2CareuPgvC r2d1J4fqgju0JvLg+vG8vj1g2nvOHeJM/6k8Cu4AhV/2bJFn3cHiXfgL6ZAO sKU29j5H5w6+d89rioZ2QNwTg+EPtO5w+p46J39YB3TWsLKcpnaHOumvuN7P HVBKOfOe9LcbdB03IHv+Bc+WKVaaI25gdU/2/GQOfn2E3DT0yA1ejKhfUizr ABFlshHOODdAiR5FZybx8SKNzePEbpByY0lRnLwTmtJAcUPcFb4mnOMJ4OwE grMv6U+1OEPJ45y0SMVO4NpXiVhEjhC9/U7/lFUnUJUcbTF7YQ8PqJdjTT91 wjpxk7l58Gt4qr3pV1fVCZbXaUj56Kzgvr6T1rGBTogb/nX0174x5BjMygkt dILITXZT+rsakB0sk666jp/v8eUHNJFc8J3Bvch8uRNcH12fcD+mik5lbxSq 9nWCW2uYhnm6ORLdqsHZpXaC9tRZTQZ3O6S82+Rdq9cJV7V89fuOuKOTDnLn ivD1xL2zIGFRfosWqWgdXCM7IFdT9g21RwD6XGlXePxkB8znsT35WRCMkMnZ L39ftsO+UTSF23IoGon6UptQ2wa4Dl0nzYFwpM1GrrOAf9/ofbUyqIwiUGTa l06uu61g+/HnlGFwJDqb9O0fq0ELpDYvPN2VjkIoN1okOrAZKu9f3roQEYVY V0oStYubwHGfmVjFOgo17l1UpJ9ohK5r26RBS5FIQX1M/Dp1IwjpDwseJ4lE Sk/ZGIpkGiCnJ0PRoPE9cuD//c46rB5ceOgeR0M4kuq/J9k3jwNHcK9UfR2K jOJC0tflcNBfekdX2ToYRQ0kCaSW1ME+XRgj/ZI/cicDLYxAHRjp8WqQuHmj h3cYzmUP1ILPg/0u12JXRLWQZ1QbXgvjL7l+1LHYoDDy+Z7rlniOODqbpqeN GNQ4XT+Y1gJB/N8WqorH0HL0BF+1fy24Dibl89e/AuPSx4JWnbVgS2Nb+9Xc DRrKZPOu3q6D0pHYstZfPvBq60hLX2wdxBFzPqK1CAIzuYG2PRYcEGRmevTQ hUHJ9RzTxgYcWLJCGH1sBDiYrXHqe9SDWnB7fbT8RyhW4H3NoNEAtNcEDWw5 YgD7Lvu95ONGyL940YXvXDycjyptvG/WBAqeoTaTvIlgR5Oa7fClGcqnnNiP GyeDseffXRUi/P03P0LmWZACKZyCGfzubXCdV+roS9p0uHAKUVmwdYBgE4U7 rV8m2P7UPKMR2wm37HZP68Rkw34Cdc7fqC6wPysyzaaZC5ICzZu9Ft3wRfVL trBlHjzWf3ZeUfkrGMjCLItHPngImVIZP+iBOPH0qO6wAig0vbE5J94LVgRE RndjCkGNlp5JU6kPGHhu59BHF4EMdZXCyRffIHCygi/ctximXzunDQf2A5mU 62a9eglshd26dqlyAJquJvCxHCmFbT4hMpGKQWB72LXzyKQUdr8eexZZNQSN 7CbFv2NLYaKr+9Z69TCMTGzdb44qBTI/5+TXtSOwuZhKr3q/FAp9WHQjsKNw IXFjSC+wBOyJPymmen2H31ZsC4RxxUD4q8/6otgYKNMGXduQL4KyzG5rrc0x EHHr7xr1L4Buvm5Heqlx8HnxQtgI8qARSzm/4TaOv19Olo11ZYEZ3j1W5Y2D 5Pg7veQ7qaCIm0m53D0OXCOmOlTDCUDbPuUuMD8OwWEdKvyhH2CvN1vw99Y4 iIap01//9xbuj2VKK++Mg5sExU/KLkP0otnN4vHGOKy7+EQ8uBOG2H25DS6P joO4tjbrDiYBWS9eJrpQOQ7hRdkNVAIZSFQmvRFFjkOb1+PODek8VPtPaaDW ZBy8L6lv0awVom8FGF5l3nH41G2otmhdisiXWmhT1saAjD6ZeqCxAnUSr+3E 6I8BMo9dGujFonc+jJP77d/hosX3E1QN1Uh4ZLzb7tp3mHVpuMaxUYNsvEQl Zx1H4f7nDqnY+VpEI/TsGFfjCDRrsLj0Z9QhEa+HXkLHRiB/PtbSXgiHEhiq dgekh6GZLc1uKRqH7KOtxzPfDsFGVvBWaS8OrWiumHHXDYLfjBqcmsUhBkI3 /kc9AyBh/TBLsAuHsnRJdXJPDED6rpaERxwOJZkEsoJ0P/ierX/P/RSHtM6c eVrq+w3maHnkYklw6CmXH0V2Wx8E8ZZphcTVodl/pyhDaPrAnGnnotCtOoRo yPmKNXsB11y4JldZi7w51X+rZ/dAQVxZKZFoLWrh2LwFXV+hIlV3oP5TDWpR 7o7m+9MNQn6hWumb1SgixEvh8fVuSPW+6XTqYTX6NvKj571BFwQQhNu4SyC0 Jk/hjvDvh9ErIvaTe1VoSsyr/OxsOwiEDUlkVlSi0gukJ4d82+B84d2MHLcK FLV0oXFhpwX6FUKH42nKUUCDu/KcczNEjtY30BWWIjGKybwtuiagd6yXCn9e guqzujZu4Rrgm95RDdFLxYiNXiul0r0eKkxPTpOvF6LJprC9fCUcNMm+jshs K0CUZyenBPD3k8HdpxnNJfmIVed9wdevNTD0ptEjRzcPsS6WSQT5V8Olh18b za/kojw7KmPHEiyM0F5pjfmVhXoU2NT9PCphTrREmKUzA+F+LWrety2H4PPJ J361pSH0oUzmW2gpFPSy30hbTUH7uF6Dj13F4Hj3qOos9xdEzlm/dOdtIRTH VY0trSSiLcOqlmy7fEivtVo0n4pH6kKsTpQJudBkZWQweDwOpca35W1vZUE1 m/zk2ZbPKGicK15sPx2OpgtkVXR8QIkxUnnKqqmQ78jiT88YiU4w+958tp0M +kzqTHYF4Sjc1Mviw04C+DL3P8ckhKBo/tTMXvM4EBe2WjbbeYemHalzSN99 hlDhK2Qd+r4oVSN6YmQ2CqwyFDOnzLyQmuK6bGPve7hvbv4hZscNWb5LqJgU C4Nm/aQPHPNOKOnPPz61KyGQyfshhivCFomp7dzxZQkCssW+CsrH1iie+oKS SlgAnM6o6z3uYIkUcK2hpn/9QC2Boq409gWSic3tpsjwBf+eTGPJzwaI6N4P ebl6H5Dhar58OUMXXalIqfSl8AG65eqvZk0aSLKCd57M7i30FqZKiXuooCCx wE6lk2/B0FjmbtUvOUROP4G52eYN/D8bqogURJHN2T+CH7K9wVXCRGpinBFJ ba7uVRd5A9O1TUXX67fA0Hkl+uiEN1DNtWYk/BYH/cjbT4i43kJm6Fj9CU1F cL6OXCwS3oIjTbx9SakqJH8yPSpO7wOWUiXW/d+ewWzm8vaZZB9IvfqHgeqf NnyNMBMglfKFDV5hKruw52D8z85OgsQPMBy+dSNcBuAz4KR0uR/PY7Zkdv1G ELFyOXm7xh+a3CyWw31fwK+okOVb9QFwmdRrz03KHLaLsuM1J97BBnY5pyPA EmKG51JO0wXBE3JGg6t7L6HcTmzC83Yw8IRebyG3fwWXSx19CReCIW5+srOI 0AZMCm4rWGaGQHx9LLyJeA3ZYwnWMs6hoPaB9GH8XVsQrdvU6/IOg6mTz0pp +e3B1YTsdnlSOJwS+yf4VM4R0oU8dfsj3kOAX7rURzJn+P349D//yAjYiCTU M/7qArpFCePmKZHwjs9jjmDAFT48PCLI3BgFX5PEZXu63MBRqX1M7tcHkNyl jFXqdYdTojfjsvk/QVUFGwvHlAec3O5KJwr4DFSZK6dO7nnCFceOdfof0RAx Y/u9mMUbAi5g2YnE4iCHERf2TMQHtn9dtUs1jQfus/YfO5n8oPsFhlgoKwGi eSR6mpgDgGeQnU6GNAnuBenPdYkHgl0Yb4e3XTKoJrq4tUgEA0Pyj8byoymQ 2WUc/tM1BHjlWUkGi1JhvFNJeaYzFBqXzw5uu6cD044aJzdfOCQKOBMpWGWC g0+RnUfRe3i9rtgu6Z0Njnt13rHykRC26He9VDsXlvdcQnVIP0As5/Yb0bA8 YF1YTULDH0FG/zU/30g+XFziFGjp/gx692yfswgXgv0kWWXmYgys1mjzlJYU QSOR44BKeByQjJwzLZAtgScTvg/oGuOhk844fsi8DIj+jbY810mEVgLnQPKa CqB03Jn3Z0iGoc8FavqSWIhtudPAQpgC0n1vbuV6VsNMzoDW6LE0+JGWIaBJ UgvsHUpyZqIZwCrIPVWfXAd+jpe0w5OyQEmIVDvqRT2orji6El/IBcq3DN+y 1BqBdHDI84ZLHrB/SowwfdQMlwzfGGfN54P3ehFr/+tWIKRXpPxrUggc7zga 0urbQeZmqm4ZaTF0WphPqzB3AZ/Hei9XZQmEmG9Lqtp2w/EHtSf5/MugSGua gnfhK6QPhTzYsqoArlzKJGGbXljryeDJf1kFN48Fn4+5+A3kaWXzzT0R/NHR UJSb6gfvF48u3+mphu6KvTs/GwbhR+WWjNh8DaxWc4ZVNA2D4HzT2Km/tRCx 7uZx0mYU5MLszDq76mDYbHlU7vYYZLxvs0/9iAOPrYGfDHi/Qs8UVmiuVA9u Uld+bFpMQAKpnJnpaj38HcyTbLoxCaWglXwL78PTLG/0CqxOQoD5Bs0F3wb4 s5yukBA0BaXbdQ0inxog9U9mPDn3NAhI9NUlvm0ARqHzi6Ld0zDeh4Yy7zdA pMsv807zGbC2sS5+2lAP3qyMwt/IZuGKkEBi8j8cHPsqXuXlPAsEgy+F3tPj 4FcyUyKszULMAw3/+sVasJfjZOZXmwOGBNXlXf0aGAyyb5IumQPJT1vguomF ZOxx8VXyeei9HFOjxlYOq2ZF0pKYeZC88MsttLMIHgWmOFgYzQO9Q7uUemMu ZF11DMK6zYPacv9DDZtU8PoR9qc4dB7QmS7WRw2fIYFSCevycR5c2758T6i3 h3vxJvTiUfNARem8cEsoBN0K8eoX85+HxoiiSCuDZLT5BFfXbzUPTeduKdYa 56GEBXn2ALl5yFhsnDFWKkUfL//453t1Hvhp3g5zL1WhXrJ15/I/c0Ai5T0g UVqDiHBbLg/r58CrQyJo7Tne3wgUMQf7zIF97qUxw6UGFNMdu7d3fw6KuExs i+41o7cqx9xv7M6CWLCu1Y5WK0qtcd5sypgFFtO9PmahdtS0dJ0yUHUWXF2H FqCnA3ntFd8U2Z+BkTT5JxjqLqT8bIA5PnEGIlguXRmN6kJ+/F9FTMRn4I9k pKHLfhdqS/trJDEzDW6aJ39MS3YjLrd8bI/HNBxleynNb9uN6jmnrsrsTkGm dB//THg36levPW2EPw+NdvO+vKHd6JWmdHP75SmY3DWUtXLqRn15P70mSieB flCQ6Ih6N9J5xv5nU24SJG+uJoxf60anz+ReFZ+dgKP5qW88fnQhomFaWjKX CfA3L/pHWNCFKn1TGbXPTsDxs6W91OZd6Ekum/bHkHGgZcTtfifvQpppdCe4 TuD9bpnagyHRTrTbLvLKhX4M+H72MEabdKCXl26ey7/4HYTFuZtpQ9oRZ7Cf BuG1USilN/7nUtKGbv/SsDAQHoGdcZF2t7FWJJPF0dmhOgzoO52aFEUritIk iZp+NAQzuzIrRqdbUBzZl2CBJ4NAvtZeZcTajMRG+OjCDQdAoEKSckK4CaU4 RK3lOPeDua284Y1njUgfY4GRjvkGn5f2NpzcGhAnKf36xYY++MJ77u50Vj1q ecxaNLPVC/R5PiTPJnDITvWo4jmKXrit/MuOfKcOdYpKLIRc7QGN929p4Vwd un32yfCYwleQosW5Vt6vRYwvb8V+dO+GGwycR+/a1iC6jXCaZ1VdkPm87ohh YTXyePY7pYagCzCeXRXLGwj5km6MDER1wKnaH4rX/bFoAxNoaV3YBtQpjl9/ pFais29rI36stEBXrKkt43Q5KmtKo3MVawbXMKvpPYEy5K+bu69X0AgeBc/W 1jJK0Lk2fgNioQZQIeJg0uctRjJnllm/DeNgQJRPc6avEJXT3KlV7quF7Gq3 v/xd+agsF22yEdbADPXJ5yl/c5H+9NVL44VY4LmUS1GXmY20GO3a/coqQBR7 Xfp0fgayvHLz75OjZcABoa81CdMQXal40oWPxeB/LqXqTdgXZMFiK2C1WwA1 hIvFVFuJKP2U/Lfw9DxgunVm6XFSPDrPtNZOKJwD28q0UaFcsSjJYnbYISYD Sl/SkS+HfEJaD+41u7xIhQTOvONJmlGoMat3ITIyGWaznzJJ+L1HwVU0XtV0 icCc/vXSV/IwdIGfsbWMKA4qxY+33JsLQk7b6qdU8O8cTU9f5vlyP8Qxo3Cq /20E1AU82WvW9UZK4bpJT+ZDIRFzYigc645MV7BGNSgI9vaj9oq1XdBtbTZl uUw/mCnwHVQDe2QeXNhdYeYNa4TZn0nWbdAMMcm3mAQPMAu2Fyw8/QqVd5lF 1fPgfUV6n7NuhCUKv0X4mI/bGSKFPxcpt5mi3b7kSAYfe6B46PhEdMsIvWPX MG1/9ga2BERFHrzXR70fEq9cirOG0xENbU8/66IqJQ1ScnErUBp9tDHwWwvd KKyc31HC+ywqI+1bzk/RCzrOH4vyZrCuGFQZ6KSK3pJWlzPamQCNmptL7cwj lHBW/vsArRFsf9sy+ZCigLgr2BWF6Q1AqdQvSejFQ6QYwtqh3aAHkzfOfX5P K4EIr33aLM18DqcETzLtk4ihbTvGuq5GXXieubgsq49BfZce01Rw64KB0GTb h1f8CCNwu9unQgfycskMl7C3UAvZm2EiPR2Y19zjGHS6hqxLZAQZrukA+aBX t2AOI9rY93fdOa4DBJcXdYM3jiDWy8mZQ8d0YFzCwSrmLRHkvY4IvcGqA9wc Riz5zBdh43FCsftTHZjQ14/I1rgKD+ciIwIzdGCH5l5ROQU3sNjemhnY1wGq 1Em/7m0emLw/ouerrwsixsx9RVP8kHf3n3LGiC5YvvrTMNYrBNtuW4ZP9J/D j0fKRXMGIuAzyrZctf8cgn3kucmM7wEBq9oOdaYeCNyl24qyug8Z6lGpCSb6 YBRcym7u9QBq2vYUGgUNwJUoS0ArURJUXui0LjEawlyRfoBMhzRIj8hW+tMZ wW+mKUHGo7JA7L07ffuyMZDqam00K8lDn86Wg7uYCfxw9Jm5MqAAijnPAtns XsDxxra8R6eUQHGQrPD7nCmsBnyXS3nzCC4fOfbX08ocTq5VEqusKIN+uIRp QacFmNaXLTbeVIFPcldTv8VZginVic8pzqrQ/1ngQ7zeS7jWrnJ0cEgNCnJe MqXftoK+u2kXJcTVYSDCRNeQ8hUsEN9XmsY+hZtOzApqW6+g+ja9UIakBvBi 3y4RL1hDPm0KV+yUJphpjQXvLNjA7AyxtYGkNhTfTHZet3gDouW7yhV+OsA+ Nsg3TWMHl6QcxaUndcEq4BN87bcH4eM6I10KeuDG+v3lRJUjtH6xY2Qb0Aec NMVrvSZn8LWGEVF7Q2g8Ria06uiK9ycjF3nvGoPU+0YK53Q3qHMoxPHRvYB3 R9ruP151h6nUEZH4M2ZA4fY2SPujJ1ikfNK4V2oBdN5eD2jw3yOxI4UDt/RL eMpto9Ni7AOzoWUi7ANWQM8YUsgV7gesaQ6+8z7W8OvbSyPx9QCon7uRFqD1 Gmind4ieuwcBs3FXsI2WLchyZHglsoXAYOsJ54cB9kD6uYr9RHYo9JeUHjuy 6Ah/+4l3hFTDgf+hceqKowsUFlA4irBGgAqBvuC3K26wtK36xpghCnA2/O3J 6e5wOpTsW0zaR7ATkMyNiPcEhzuEgUp20cAg8Ye4Gv8f2Fzm+01eOg4i5b7p WXP7gsqZrVNZhAlwxIZl0KfPH3xyzDmp5hKBQ1k4QAsFgkzrE4Y7+8ng96/S audPMJDohbWqyafCz2vBxpbV+HuMLOGp5Pd02KAgOHOqKBwKpgiFrfKyQIFl j7lwJAKsxdeGJw1zwfMk2b/7Qh/Aau/8aXOmfLiqJ3zhzOAnELHtVvAgLQSj +iH56dIY6K4im8liKIb6XX3+5fU4GNfU+TVpVgqcXbKPxPD/Na4D3So+O+Vw Y0yKeSs8CYRMxhbtG6sgN3HRKDvjC9z9yXWDwqIa9tw+iottpcKOEyqgu1QL QjdDmxJsMmA/KYb1PQEOpsX8JXBc2YB74UTzirIB7Ob0d8Tf58IYg6OCj1gT /BbndPO4lg/k4yGUQtktYHDNkuv0RAGQsI+fHVNqhzRRr2GW8iKISBokXD/X BdN8hOyPi0tgRWHt/VBWN/B0tAhZ9pVBoMKjbQ29Hvh6nkrs+JlKMCLAMXqK 9IHzX67in9ZYkJXmeLW28A1uPkwhJRephmcm9VHyOQMgb4K1NX9YAxHL3OdO hQyBUrSeSb1aLcRvsNQyBY3ANSczCUPdOtixf/3vwt3voPrxbv3+DRxwEj1X Ltkcg/vM3rvOyzgYR11XcN/HQS7zS5pSRD30hsbJ8rZMwO6HjQ1p5gbgudjD 8MRjElYX0s3HzBugYf0rzxvMFBx/xVfz5UMD3DmlxnH/zxT40byHPxENcMOb o50xbBrUo/S8w4wboH8XUbFdmwHShjA+0WMNsGnJ4TVXNQOt0vUcspb1kP3E lCRCZhZwLIFLt/1wsDM7lbLTMwtCZ7rSjkrUQTu2N1JJcQ5aqH4VTATXANsM rki4Zg6oKmXun/+EBd5Y7mdJeD9PAsnXmzXKYct8Rkj4wTwUpfI+VJcogvbO pz9HTeZh/cwGnWpHLjSw8rRpeOP9dUaRUo1nCnC6+DhER+L9+r6RK6dDFNCl 9MnZR88Dwfpc0ZVNASSw4PhiJGIeRLwzNlbdPqHmS77VLe54pouQlrqTiVau jK54aM8Dj3NbqFRqEdouD4yfFpwHtpgiGZ2PFai8NdHpJeU8DNz5XqlSU42C ryhhFAbmIGCLuXM6rg7JaafM932Yg9vSO5jVpw3ISCE42OvRHHS2mRMkTTWh xE35I8dI52Bh5s6JRI5W9DtUkORW/iyQsH1n277WjrStL1wcVpuFYtV2oc8j Hag/++i3tT94f96rnljD2IX+7nB8VP0wA7/kvsQcyehC3zRSP67yzADf+f79 aOpuVGNLLezSMQ2jvGp1a0+6kZBwCDvWYBq4Fx/iej3x+qUbD1amp8DpXMGU fVQ3ahpLkP/kMAWF/pGahSHd6JkiK1ky9RRQDTXPGNh3I6oryT+fp09Ct4Sx dPrjbnRjz0CRSWwSniYl2lxjxft5d+oomtEJeBtgr3ZttQvR6jAMm9hOwHPG NMbAnC5U+3JpQPL0BMzcIySYfdGFTrgJLXn4jYNHZceZvyRdiGPwUpI48TiI uMVdD7jViWS+KCeo738HOZuT34cfdyAh+6m08P1R8PH/lUnzph2FiWQMi5CN gsRoZblHVBsiqXFpeXxmBE5F37k2UNGK6BpOjlZdx/v3zryvYpMtyOXeDR03 9iEwHFJqMltpRuut9yL8bw7CnHtBfNJeE1LypuaIwQzAk6x/ajZnmlBZNVXw a5V+KI54SHObtxFxJiUPd77G+/frvSVk+P1UfPmQSS+2D0JKnc8T+NSjYuPV ZyudvZDay/2KthKHKC5beRPN9MAS2RcF19469GRPoEidpAcMq/8ROm7Xou+K qbE+N75CJffqFxxzLcquobx9SbsbKnz9P55UqUEru2eHqj91wehvp6oTYdWo 3DHtPnF1JywdGYsezkVocyHlPcWTDqhVVCaufIhFbArZc1qv2kB+gIX+hlEl Ushb/b2f0QLYbD8zi4RyhJG//PUYYTPIKuWL1v0uRa1aUt3Vlo2Qc7xVxNG4 BN13RU/e7NRDvqjLCNFmEfq9WWsb/wEHNbyqk71hhUi47aLE7vtaCC1Vn94N zkdO5nfcK3HVcGNJ2VWpOhd/2T7+tCWKBfuspNy/d7PRfIeIvr9MBQiZkZDc Fs9Ay2XHBPjiS8GU3vSS0sdU1NkrmFTGXwxsrEdM2G59QSrrR9v6XQog3KTV xtsuET1c/eVmeCEPfr7rrbh9Jh6VssmkTpNlg+0jVV2n3Wj0dSh1OVQ9HT6/ x478lv2I2NQrrlYypYASxa15RBOJXJ69thCSSQLNBx2quZhw5Ml0JTGjKx6O 82WQ6taGoEeP4i/2dUeDMEbZMSH/HfJK3N/j3o4C06XR0tgeH8R5VMA+dTYc rqk8XfqOPNFbx66Oy60h0CLfPJsT64Yo5hcp2eUD4Q3vjgrdihP6HxYjBxg= "]}, { Automatic}][$CellContext`t], $CellContext`y[$CellContext`t] -> InterpolatingFunction[{{-80., 80.}}, { 3, 11, 1, {642}, {4}, 0, 0, 0, 0}, CompressedData[" 1:eJw12Hk0lVv8P/BwdONSlFKGzPOQY57Pm3OOYz7nPKcQRSWJUnGVoQGlZIik 5FKKDMnYgEZn06RSKiGlNOlqcEUZiurn9/3e715rr9fz+az92evz/LGf9ayt tmYzFSI6Y8YMkem5+/8//M9YSgK/+k9ZfBaQ0KGpRVZXBaT95XezTbEC0uFk ustbWUC6S8JbjVsoEls7xR3dTRGFy5ndV5gUuXJDNWg3jSJC0fAQuU4+acH5 DWWlfHJz11Sk9TY+KfSMe1VrxicxCmPeOsM8whuIulZYwyN6DUMGCzbyyEof mpGnGY+oD9JX0Ea5JNUoIHDLHi4Zjkhe1SvLJcd3LnJxyPQmbgdqDAolvcno Mabs731epLjq6ViQmBfxvhrRSxI8CWfT/CWuCp6EoXotqf2CB7F+vPaJD9eD 0JOldF5+cCerauSeu5S6k4NPlbJqV7lP96vFXKjkToYMjcYTu93IYl+Lyg+H 3Mi1JJbRdw03ElAlqJ1V70p+dK2hL3RxJXkiUed1ujnEyjDJwmo9h3T6HGx0 +e5C9Mv/2vOqxoUkjvtw49e6kE6OraKcwnQ+T/mf6nY2SRiYcZ6zl022LZ0v rWXKJhuJXqhoH4sEGzo296WzyPI8SvGaNYvwaKFb8/uZZK/SLdWeAia5Yq7V Jk8xyRfP5BifWUyiHfJW/UiTMwnY6fygI9qZ1HVe/vHvImdCMzbTkRQ6keX7 KgVaa51I9UuNREg4EVGrY1UBNSC+WXI92wQgxotWmIQuAJFy4cypPccgV5d3 XcuyZpANESEbtzQ5EsWkbwp8liO5e3jPHfpdBxJ/em7sXJ4D0btapP210570 tJt0dgTYk5Bzn2hOH+zI8OEy85ptdmRnzOq1ijQ7IuGvdHh/ti3Jte++PrrY lqirHPq6psqGREdQCn3SNuT2lblOAZutiYJkR2j3QysS4ZeTKTC1IqRMUN+e Y0nmjs7r9Ri1ICHMJ6KtPhaE1llafuaBOTm1LsbzgIs5cZ5wHd7cZEZepyrk UpZmJFHxs61FjSlRqb7WJ69tSpocs5J/HKeTjOeHSK4JnfjH5k6ZXjchuvPz rduXmZDPwXYfuh4uIfuPO6+eM2ZMNLvdejiKxoTI8PmJMCIr3P3uXAwxJBN7 gpyG0wzIkWvrLunV6RP6eAR9TaceuW+ytSL/hy4JC9+h1qGiS8RL9vz9J1uH FL1Ik2WFaxMH+UOpO7K0SA/vb5H6C5pka9rJuMEeDSJ7o3xY67c6qf5ZExao qU7crRpe57qpkRT7xQk3nFRJ2h4pm3d/LSYzM3v/YqxVIrvzqmrylyqQW1tz bCXGF5I/BfG3Yv6WJ1yT1dR7uwXksLTry6Uv5cjTj8bh1xPnEeXW+WN0jblk delU0smbMuS5x/WS1Q5zyDfPA+zdQ1JE2tv3fXGRJNHmqqVcF8wiDN4nnXfi M4kfv76VdlGMZNRmjt47LUL2KD5kaZv9Fn7u3l14QW5S6HPYYsJ5bEw4fWD5 j7pHhEsVLH2FUYNCR+sjXXkJA0J9n2/LojLeCvUGys4cNX0h/K0RUuHu2SE8 I3ThTd5rERKfiC/npK4JjY29sDnpgtDiT39V38/lQvuBdTMYvulCo//JJ/8X b//PDf8ZIPy/L9Ojx2pJqtwAxv+64T+3M5QDe1b5bU/+L05nxOT93GLfX/5f /gLj15BZ6lzaNcYX3PZbd6uFkWj5UM2o7TEjpc1eXseil8E5u3SfTPsbhseU ZNKBPf8wuJzm7ZLWnxklX+3GW+KHGUXMo3WJPd8YhTkjYY7WE4yCt14aU7mT jDyzit5Lo78Y95xE79npi2DdDVbRk5ViEOGkxERki+PYnTteM2/+AStPKc0T ExJ4/MD7h5WhFCL42Q8fBs0G7WNYxwU3GVAG6Y5JwbI4sbGqwmvnXAxW35dT ODoPtkP/Jryvk8N+E5lP5+7OR1ck3Sfh3QJonKeaPX7JI/LbX4YLFy5Ck8WR o+/oCpCKaRA966GI5Re7I3aGKKH8+8RTtwRl+MtI33W4thjSOmpX6JMqeFWo 0HXomCpsz5Q8yLBTQ0698e19z9QwSC4KE+PU4dLmfDF+oQZOdrfVRTdq4ElG bpWJtybil7MyCu5oQlV7ZMNMthZujZzwiCRa2CD0Mui104ZsxqQkp1EbjX4V H8+a6mCllu9dpRodiI3QzqTo6aKi6VzqSIkuuOmrwlaq6mHUd7Zba4EeVjOf 68WK6OOB8WlJ3VB92Cls/dTdpo9ycee2FFMDyA3PrrbKM0Bi7/MD//w0wODt 05uOBhvC//xWLueOIW4VOpuMGxvBLG2ObPlhI6io+pm/HjCCVMNJX0UHY0x4 fIhflm2M/tf0wqx+YzyKiW++Y7ME7xd8eFO5awl+1PvSMq8vQYr+27nWNBPI xudrVGib4FxAs8MbZxNQDgO+ikEm+Pg040zgNhPsjqb/LDpgAgWZLm5/iQnO VsYX6141gRtHZXRDhwlev7nOqf1ogrhd6/NHROhIOkNF3ZSjI7XL3j1Ph46D ojrqG2zpyDOW/eHgRcdJ/8lHMqvoOL2vv+JtFB1159qTGvbS0fjy0vLUPDqE kiX0FZV03LbMlFjSREf7mtjXIo/o6M5cc+nJWzr6Lntml4/RcUrzplGJtClm 6XDG61VNsVHvDrltZopHBh5pPS6msDS+L/i03BT5JlzlnxtN8dv00fvZiaZY ayGoU80xBT87xvh9pSkcBguqKm+YQt+N6Ee+MIV86bvTlmOmoIlI6EzNNsPw CqPSZh0zvLjI10iBGe6d4UQHB5rh0jGHm4wdZijLNFuglG+Gw4l6oRONZtgd pXLxSacZNq+dL3H2qxlW+vzpf0DWHGm6TW+PWZuj8ceWiKogc/S3aYxf2WeO uSe6Eu9Vm4MRmSr5/Ik5Ipj2hz9OmiN//pDyD3ULlAsS0o/7W+B89pzvOGQB 0n5i3bs7FrgvbfIkRcQSPR7EycDGEu9TebUPtlji6+1XSlGnLdF579irdROW aGz3KwlwtUJ+h9x6Xp4VdnQ/NGAPWCHwecaQjbU1nPpczxvvt4bGW1qMxlNr HP/bOfeWig3keYn1YaE22MVQljU9boP3xpc3/nhsA9K56eT+3zYo2KHxZIGh LbZqPP2j1M8WvLsZdmZ7baEf6bS5+awtaAvHirkvbdHXdKbrhaQdLoUESW60 ssNhKTnHH8F22HS+NXL/QTusjUzaGnrBDsuX2Ma5PLUDd3Bkh9aUHViVlYk0 VXvYhK1Nfsu0xxId5f0tofbQ7O9ML0q3x6JTmVmJtfaYs5qTE9RhD5rKjKOO 4/b40XsxX1nRAUP5kYVTjg5456df/HyNA76dURx8lOEA2k8p69YGB3y4cVn4 s9sB9zPWc8y+O+Dc0gXt6xUckat0w6fQzhHb30W+7FjhiKAqlXUSuxzBir4/ 6HjCEbr227dGE0cczNintPr7tF0Oryt0GchSHS0d8WUgM7wq3C6FgQMXgpck NzCQ8UvhW1s/Ay6aYb1pkgD7zg3HJerTblIt6rABWPN2iMXyp73YHaIUBjBX mrWSxGlFs/RD8qYt/5ghUQc4e7oMVd+edriIT/UBo4GnVtdMARVtJZGSCk5Y YVuWtM7KCTKny7Nbljrh+vyKosVRTojZc+ZsfJYT9Icrm7uqnPAysPqR6V0n nHOorJB674R9ShVJ70Wc4T9ZtpwoO8P4WQk938YZYpeKJaKXOaP76MnXXpHO qNxWeEnngDMSlh3LFqlwhsA8P+z5DWfozstzqn/ljKnhI4uyppzRtKlwW/Fc JhI/lXXU6zLhtL7W5I4jE2L9jQd6lzLh6xR4VnwdE5XHaZ3GMUx4n+f4xe9l YqQ17fnNHCZyX94PlC1mwuabzJsVdUy8kFgacrqJCQWfKyyzu0z4FKtrNnUy kfNvqpjbayYe2g6/6fjMhFSKX0vgBBM0w9vjciIsTD20MLonwcJjGeeFzTIs VPC8xRrlWUg86P9v1WIWfB+u6ynWYsFY5q8beYYsiPMSajPNWOjNSs9PtmXh wfCpfBWwIBRczb/MZuFs/ZP8ZR4snJIfzP/CY+FwnHhBug8L+54rF2ivYCHW wbKgeTULYSe8C1aEshAgElowvpEFr+CEgkNRLDjePFpgFMuCiU5dQetOFtRS WwuC97DwKd9tq2E6C1Lb07jcbBYMA+7pRR1lwdNOinbkOAsRil4vG0+xcGDy wMVnFSxUP39w6GftdH9X5kSoNrBgPkffeGcTC/lrWEM9t1gQaQiss2xnIVQi LjKnm4X7K3JMv/RNr6ur/uo5ML1OrPVCxRcWAk8Zvo/6wYI6M1vensbGP29G XcVns1G52z/+gTwbm9WFlUfV2DBv0XixyoCNidX7Z+tbsFF6K6q8HmwIDFbC yZONGQc5PW2+bFR/o0f5BbPhv1zpz3eb2JjVNLNkczwb9erD9pN72XBrONi4 PJeNl24mphfL2Ih60V61oJGNmZGbdbbeZqOANqe4o5uNJXk1SqYDbCjUzcsI EnUBrTV2MkPJBUN9L8IvW7rg2bjzs394Lrg557Tb/A0uqNORvuS81wWfinR1 ukpcoKPEOhJ2wwXBuUFiP9+6oFBme+RBMQ6epeX2aWhwMF/8nFejMwf8hPtX 3NdwsJ4Zw92dxUHCH2pvL13l4Mi9u9uGP3BQlRUtqSfviuuCxYWrWK54Jt9K z4t0xZfnkTfbC13xQvbR4OVmV9zhmCwoe+eK+p1Zjtl/uKHo/L/rdui74cAH r6xQLzfEqVQ3UlvcELJM6pVDjhtktPze373ghivfTn327XKb/o8aGnk37gbZ w3bfIxe542pwyu9ftu7oMmm53LrMHV9+Tm09tMUdkves6CvSpzX82sAqmvZA jb1Rozsk/g1rmX9/Wq6W668309a9uv9+YlrZY4L22R6QiPLtadSctmNu0Enb ac0fvNvP84Dr5J73Lms8sL/FZoAW7YHbqUMfWvZ6YCa/9FPiUQ+4LAwYdKzw wN4+maGpyx64WXbry+U2D9A27RiJfekBpoXpN8svHtgz9c/oNxFPtFw/Pn5u nidE0wXft2h5womSmDS28kRQ7a6tl909sUvq2xA70BOHrY3D4zZ5onLt+ndV u6brDhYHvsr0RM/V3qfzTnhiaGCBgFPriZnz+ffjhZ5Qdkrn1LR7wjziZvPr Pk+ULPsxMDLmCTnHJTK02V5I1l5rNV/LC6Oz/w7UtvdCyPj9vVYCL3T2iVa7 hnuB3Wr1ZHmSFxrqNk6G53mBUrdLPHrBC0M5EuI3HnohQ/xp6pfPXtCLKZut LOGNWwPROW5a3gj2Zy7c5uSNGW2yx4tXeuO4wyu19jhv2NbWlE0e8Ua36k4D 3XPeiD7kUbf0gTd6bG0WJg55g/FWO7FShovSdLmBLjoXkuaiPFEBF1t6hxqN ornoSn6hsvwIF3ZG91KSG7hYk7cy7lo3F6liX8LHJrjws3KqkZfm4dNGSZ0L yjzsKu44wTPmYe7TYwsHHXkolV6XncrlwZq5RFJ7FQ9tsRO7W7bwEFTTPBmY xMPI27ToyWwe9i1aOni0mIdFXOV15ud5YEqzRuOu87DpXniysIOHvNTseeLv eGjhXCx2/8bDoHgf/SCND/kb4s2dcnw47TbkKWrx4cWozD5hyofflF6HBvhY e+m03GkvPjZv0/ExDODDN/es7ZcQPhwb7FQubOFDu+umWOx2PmaPcQfs9vEx KTuxMC2TjwGjk25Pc/nodHON1z7Bx8ptj+K+lPLRX+wfd7mKj4j2t7HJ5/kY m9wY632Zj126YzELm/mYuSwh5s1tPrKSZsVUPeCj0KxX2NTBR01/7axHT/kQ +zgaXd473ce/dq93vuKjaiTJa+k7PmaM376kP8DHsklpbZHPfFT8FhzqHuLj l1j+r+qvfDy26l9aPsZH2QaTypPf+Yg7sV0kf2r6fTtu+eb85kPtj7k1GaIU Rm1X0vaJU7iz6bR/wiwKx4u/1sX+SSGyy/GPqNkU2JJpKzfIUljk2Hl+rRyF wUhVyUB5Cs2lG1b5KlDoYJygSyym0Fv/6cwfahT6Daw1Z2pSGCpKPk7ToTAh /2iBmD4FkUzlgyJGFCRp4RIzTCjIxTfs/mVK4cb+Z1vYVhSij/4KzLCjoFmm 7tXBoPDkgoudAovC3uvheqtdKVg8zpQ/7Tm9/6tz4kM8CtU/ipu6l03XyeXE EH8K9sZ7TCqCKNBc//qQvZbCvdXBxfFhFHK2CwKCN1EIOMKU8/yLwk+GZs+C OAonP9IKX++i4Hykf01V8vS+jFs6MWkUUj6WfXY6SEH/SMpZqVwKbYz127oL KOT1++ksLqEQnO72dG0VBWO6bWrlBQrfu/RtR65SuLlD8ZP1TQoH1aWOJdyn YFiu+qHmGYVWAwvLl/9M19W57ZEepfDbPPChvagABZeilDfOEcDKMSW8QEmA xs31Qn8jASyL3sopOArQ8Fg2vMd7OqZBmBckQL3FJjm/LQJYhB4Lk0+ajvPu NnVlC2Cossy7/rQAp0r7XuQIBVAwDI+I6hJAekG9pc0nAf67B8T/A04292M= "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1QFHIAASBtBur8tKkiRJ0iVJkiRJkiRJkiRJkiRJ0iVJkqwuSZIkSZIk SZIkSZIkSZIkSZIkSZIkSZJ7e8MzP+D7xvy7/j/lrf8ICAj476+A/8/fFUgQ vwkmhFDCCCeCSKKIJoZY4ogngUSSSCaFVNJIJ4NMssgmh1zyyKeAQooopoRS yiingkqqqKaGWuqop4FGmmimhVbaaKeDTrropode/tBHPwMMMsQwI4wyxjgT TDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5F1xyxTU3 3HLHPQ888sQzL7zyxjsffPLFNz8EKMIvAgniN8GEEEoY4UQQSRTRxBBLHPEk kEgSyaSQShrpZJBJFtnkkEse+RRQSBHFlFBKGeVUUEkV1dRQSx31NNBIE820 8LfkbbTTQSdddNNDL3/oo58BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZ Y50NNtlimx122WOfAw454pgTTjnjnAsuueKaG265454HHnnimRdeeeOdDz75 4psf/h7/LwIJ4jfBhBBKGOFEEEkU0cQQSxzxJJBIEsmkkEoa6WSQSRbZ5JBL HvkUUEgRxZRQShnlVFBJFdXUUEsd9TTQSBPNtNBKG+100EkX3fTQyx/66GeA QYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaE U84454JLrrjmhlvuuOeBR5545oVX3njng0+++OaHgH/Kn0CC+E0wIYQSRjgR RBJFNDHEEkc8CSSSRDIppJJGOhlkkkU2OeSSRz4FFFJEMSWUUkY5FVRSRTU1 1FJHPQ000kQzLbTSRjsddNJFNz308oc++hlgkCGGGWGUMcaZYJIppplhljnm WWCRJZZZYZU11tlgky222WGXPfY54JAjjjnhlDPOueCSK6654ZY77nngkSee eeGVN9754JMvvvnh7+P/RSBB/CaYEEIJI5wIIokimhhiiSOeBBJJIpkUUkkj nQwyySKbHHLJI58CCimimBJKKaOcCiqpopoaaqmjngYaaaKZFlppo50OOumi mx56+UMf/QwwyBDDjDDKGONMMMkU08wwyxzzLLDIEsussMoa62ywyRbb7LDL HvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/wQ8C/5E8j/ ADh4RN0= "], CompressedData[" 1:eJwt13c8le//B3CzJMreOyn1yUhCOG8jRVRIyJ7JJrusbMqmbCFR9oziXByr yN7ZO1tZSfE7+f7+fD5e13pf932fc13cJvbq5oQEBAQkpAQEVrTtUgeHCPB8 HOGvjO3jOC30z/icccJUEsvH5yv+/3la9KYiZtj+v4L/WSZc9rY5prj0NjEB QR3eVIZb+U4YgWBbAkK8CQkmVdYb3TFXPkd/+p9Vu0+8csXcgJnbREeW8TWe tMEY/lEL+eeDw0PQ0WLAZGhJGv0vnzzfjLXG6hQFjP+v/+v/0qa9sP1U6X8I jiy0O3E+GMvGpq70v/UwtVtpRmF/1OkW7R15SypIJwabra3JvH1kI3G201HY WX36rz+OrGqa+scX63MtnOzHUb1cTD2NRhgNE6LfP4/y3GYu6UgMUwAX0y+8 Dw+fRsWrpWG45rmE/1cvRYfRQjam8INK3LEjjxcLUeRhTOMO31Aeeeh6d897 zPEwki+0R2Z5Y2SehbE1OrHCcOSuS4snPDFTf+5R0x/ZoaiVMwvrGmJ68/SR R141JJdhC3Uv+JIe+Tt9pE0t9knU5M2No/X1kRaU4bCNiR+Cuo58997CeiN2 6OngcvU/+2aZuhxrwrqU7m9nHeXHhInLGrDWh8floo4selmqtQ67zSMT5Xvk Z/NE1lVY9RP1ha5H9tZcGsrBbkvSqrod1R/KunSxAFNfzx4bfTS+RdFLtRYM 21y97+d/OXKvE/3Ti9nbeGH1r/5DFNqifGUE8+vryTmZIzvOSadOYMx9Iwzc jzzrX+s7gSl6+FEr+ai+V68fCI5i6ueONVcd+WGgyno/pnjGRrD9yBqjflpf MIQLWJ7+Iz/K+qD8DDOWZu77Lyf0fbHYzfwVW68S/azoXz7JmFwnOomVGSdc PZrPMAgr3b2IleUgbuT/l0fJf616+gPr7qhMFfqvng1Wr96729j8pEqa1AO8 ZabPqA3sYuef0bfU/MW7mGPzc9gv7KUgRD7+B29VL58vjrtYv70L7TT/vCEl onpjC6vVs/zHbh+/H+mIw6duFUsa1/jgON6EMhGGuM1RrNlm6fzu73/7a1oo cdCLoTaYPOv3r/1d1jL1d5sY35+Zhp/+jeeecebKZ0K4UOeFcvHrOTQcquEI PQGi0cGmqf/W79vZb0NBBSfedOzzEuGt7avaJEAD1Q0iz4EYbzoT24elNFD7 pohHlwTvz9+t9JVpwJpdvOERKd5XCEeVhqnAQ52qXusY3huCPMWhFJDa+cuE 4Th+P6ne/tonIQWZmOV3Mcf/7beew1mNHYyrfLj0pyMXPmwir8Ea3eN09f1n rovUMml/sXQSZE/78eMRTjL4jAidQmnxbDQt+PkIo8TnZ8oZUIV1TPUt/HoI HVKDC8040L0ysh7jf+tXJ2ojWOBBXD06lP++F0KmIgWvG3wInC719f/bL98v 9o9Y+dH5Oa613S0ERGmMicSCF1Ete4nunRX8/oRuDenY/Idm3ibHpszg22s6 krqqXkTk1ZcxBSN4h/V9qnA9h3hcizpN+/HGzYbUZnMhv2+h1AXd/55nAQef 80mUFFEeaf3PZAM7mV7HYDtyTdIY357wlrtaA/DCVLMtX+QoPj8nu/dwTQhU FoesLRbw3jLu0h4Sg1GHF/kj23ivDnEz2WFAKvbdqc5/z2NUdj+KSQ66BOX0 KE/hfYdBMVDlOhgdpOxJMOPfTy+SAbtwBdiqfJFVz1sHPsR3HBISFIBq1l6t 41Id+LZiRXAJ12G8Vuj61at4p67kn4qRA4UnDLKB0vj+yU3vbi9goHkuZlRW Hj++ZP3OsM1VkB59dvrnDby9myjGn54D3jsvkrgU8ab68NCCfgOblDHAaHqU n5aQ4RBERn84Qo1k8a6fzOcPA0Re58Q+JI43M69nrbgimhmOHcz5Dz//iPeC m6Uqei1cW9jDVgcyDVRKmskaKP3GlY+BJ+qgfti4m99bG3EfliyLzSPwsTFi rPymi2Qg0U6mHIGv/AObHHcDdJOt5k+iNwKZsMW4VCoj9HtFY4j2JoI6L8nh 42pGiIlGJ7v9NN7mhz+XOg0Rk83l/fMjWPBNTAuSCdVHjJ2P9yvzsEBwd5BG ueoBMmYI+cwTgAUZAbaKeA0NRChTssBsgc/N3l+bbrmFuNWSfrXcx5uF+OFg 2nnkFzQlVamLH6/SbHpJSg5Ch66vWXri+4dkJv/p1YSAYAxJ4EcsZCjXPkpu MYG7f83IsrewcOjsHH6jzQJUcHt57lII0iURe0abDbSonCjtiMbXF80artXv AOOVkfqc+PdVxu66btAZJxgSGnsmK1wH6ZXWPmvSLhBU2KDeZ1sHqrQ1mnZU bjAtfqA/X1gHQpn2KncD3eG6WHLHk+91YPxryJjvoQcEyYut5pypB+re4MX0 OQ/AqRpkeRrWw48E4Z3L2x5AIMzmPp+EzzPEuX2CPOBNE7l1aV89FGdTJNc8 d4dLeS4LESdx8MOB6aPcL1cgDj6w/CmOA/tIPQNbUhfw5MzyaTbGAedA6Z13 oY+B9NOZxysBOKhTmOENJbQHaUYnHcjAgW9MhQJhjwXkuxiGJFbg89roPppT hnAwecpzpA6ff3i3OvtWEWbk4n+14XD47/cqUefkIMZu2o99CJ8T2DJSjuco ocfnHsi2fcRBve8JsUhTHTSq3PvLuRgHRinS9+mvm6F9s4Kyd/j5njE20EKC NdpdO8YxkYofPxPbjLtii2g+iiiPJeLA0FKdv6XXDoWthi5kxeNgYvwzdcI1 B3Q10i/rcjQOhD7MezpQOKLplobe2igcqNKzEntyO6KCRh5nRbyjQsiUw646 otM1LwJ6IvHrEwhUTVZ2RH85cI9e4W3kZODMq+mIInHb5/Xw7nqxe6PQyBFJ v+gr5cKba4zc/qq1I9LVrmWai8DbiloeuTiiAFxaii3eBMHEfD1hjsit4GXU dji+/53/KhfSHZHpVMyWJ95o5sH6YbkjQo4u4zkh+PpoegWfhTxG4eb+mCR/ /Hp/eD7f13NCFr6Zffe8cXDIfPDI8LIzaqrNN+tzxz+/IMrmFDIXFDsyKL6g j6+njt6MGOeOamI7HsVgcBA5f552JsATsXdZPOtgwdfj9YXF66wvKmzdSkj+ WQ+KZRMJbcf80AVy/0XC5nqIOils2TXtj36u6VTEe9dD7pm0wdOeQeivyHLp S4F6qHsk3am7G4Iei5ZVeA3UgYdXCMey4nNk/FlIb9m1Dl5XlnbPmoWjj/kK gzlUdeD+tsj8I0Si/e+yoXJKCL77jX++bhGF0m7sPRXmxgJTtVTWkwvRSIBZ 7P6TtRpgmymbTUyORud+6V39U/kJfi1aDqeVR6Nqv1Ob074foev6otLPx9EI F/Jl0UK9Gib7L4a9GYxCrOpbUjHCVSCjTu4Y2xGJUmbP8P498wGKsXPO4+rh qHrgxPZ7gUr4niHt5HA3DP3aEPuzeL8ConTmFPyHg1DsUGvK7dRy+B7pl7FO 6o8er3Bc/nS8HDY+vT882+GFVrgFHIJflUHdZuqaGYMLWvN/eiv9ThkYZewV /1y1QLrHtjsrBcrgsMbBqeijPLKbIph2lygDeFM+V1GoD63Pk7BlDmVQPGjy Cot1hFuUDXE+A2VAlfdo+8lLT/AY0TbVty2HqJ36zKZjATA6G0Z0W7wCBjWL L8pzh8Gqi+s2GFVCF6kbk0BTFPzwDrNa7/sAjcT6LS5tceC5cnGEJrUaNITO OyT/lwhjN48nbqNP+N+FW/vH1lLBQP/DA0YFLOTbLD99FZwBg92p2h2JdfDy B/1NT/k38ObOFcpGRRzceTv67iFXDkQajEvrCTfCs7YM1SGK99BmYUrKfrUZ 2AQH5G2+5EPGMoXlMNFnCDjnE1a4XAjxoza/JNe/APYHMRenQzGI6VfVDu22 QRelsJCCYgnAt5TtAcYOcLE3Gjn4UQI2B2HfbXi7wG6Z4HaYUSkM0cue95bt BslF1RS94FIgy6atcTToAeKuP8EzOqXQmrT6Z9OlF5aUWc8pdJdAlFJ02wW/ PuC4TSZOMlMMuQ92Pox59gPdGSWzaYYiwPEs7WYaDkDCzfePC6LzwCCxcu8n 8SAwDaS4NJ3MBaypgz9n1CC8MDX4ObGXBVVCwaJ1BEOgxKeiYtKQBrg/f23i 1YdAFYMVfhEXB8W3Lt6O9BuC4lfJCdRrfvj/lcjS7vAhqLM4FKfnNUN7OpK/ Kxzx7f94jYgnRSAmqY7RtotD8JryffDT7hQU0C2pMlI9CNU1x4jzfLIRD3MP 8RLzIMSZh4YPTeaj1jP2NKaOAxAFBEjyZQniwXX3Geb0w5aUQ/i3tnJkPmZD pv+pD1T+FAgLkVchlUOOUaGCXjCPjig6d/MTOvi0KSLs1QMbiWy0d52x6KSH 1Ti3TTdER8t+r/SoQ4FXU8WEb3TBYBjTZ+/sesRZS5dCwdIBM6wDPzzLcGhk XL2SMagNkMlE3/LLBsRo72Ywq/EFnl5YH0vga0SNSpLzbgwt0KIT6UES2Iiu HuTOKYk1wSfZ51l/sxtRc0bAKTGtBuDy3//85lUj2nJQGux5Ug/6iuRyxzQa EYe9mqDRHQQL/hGrsgMNSJ6Owtaz4RNoB6Zl2LA2oF1fLg0uoyqg0ip3Dj+D Q6PqxU3MghWwpRNkFPKzDjFzB/uFNpVCWa6L10whQpJ9jaMxwcUwOx3zNk2h FokKn5Zv2cgHOwEHsYfVH9GpTYrbrSLv4IPkRKsOWxW6Jv6wTXE4G0ZzPJmZ nlUgY9dGbPFEJgQeT1aj3ytFFlyFWiflXwPFytjjK7HFKHDZ5t7c72SYu86w G1iRj0oL7W2un06AyjSSK2yFuaiQlo2auSwOiFt1nE4yZqMMOSm75v5o0Bq2 o365kYFqiwyu0nVEgLnKh95Z6zREeS9KX7QoDNSpvjcv1CYi6KwsuPosCLZ4 og5aduNQi+644mCGP2xtsN2PLY5GZwzNqi+JPoNr3AqOhZPhiFxztUVZzRti CD0UsxRCEZAtd9MOP4FAxoK5ZutARO+RxnZ/wQ1CQ1uv+Ij4oVe+6/+dfugC Mmof3roR+6B9+Gr9S84J5t/ZeYHPE1R3qE2st+EAxotT7bXFLmj0fnveDpUd cGna/bw46IgSXo0Ip69YQYD39vW/T2xRi0Lpkw/qj+BHfQlmxfkROi92RvUe /0PgdDb1oNYzQ7oHc1cJ9cwgY8S4JuPACN1LHaiO+WYCWaoz43nWeijPrUCi Uc8YMiOUNZSXNZHWM/ef9PxGoMfcP0XxWB2xebOIs5oZwHvhxDL9wNuohROa 0r7pwaifZkms/k3EKUFVVpOtCwyfG/u/npVD5OS3AjirdYDyKRlzxB1JdHD4 XUjhpA70zfO1hdqJoA7uLoGSJw/w9xM5MSIcLzLSHshWk34AMpck6TwTiNCX a8O3RJQfgEPC2df7WnTAM2Ho7p7+ALS3Xaxjrp+HNaldW5yYDkxCFaUVpQjQ D1QWtNPqwrmPjo96ya/BJ25czWVRPQj3tl7wfyMDI56n3chVDUDK406CjtAN 8C4x8CEJNoIDpt6/m5YqcM+9LaJXzgRmz5Sl/deqBh9FL/UFWJlBpFqGl+Df +yBIwj4SQm0Bl3Ojp+7u6UDoUnamnaoVZFuYzy66G0H3x4WpSQU74J/6VsZL YwbxlLNjtLjHYFBdta2eagWumUaN5yLdYFR8hfAwyxFuuH9w3lrxAoXH+j4h D91gbJyGfl/QH8SVZAV2qX3AlWXAPuZrCIw9q3kY8iYA/sz5XV3nigKul7mU h/bPQfBFDkEifTyUHay59UvEwGtzWfmymSTINF0T63nyCv7bo+dnF8gAxjOq vQSCaYBtoeGIeP8GumI9fR0EM+H1i4LZ9NFcsIsXZdgeyYY+Jora97v5MJB7 doT34TswzT4X+W6sGJbYqdh07Qvg0tfX+8rpZWBIOoupIyiBXvPoJML2SiiT FA5mjSkDtxMWh7FOH2HCW2cGZ1sJjYglfT0dC+nSLRiO2GpwlJrsul1UD4KZ Sq+oD2pAjNGTJUC/ER7c6EwkvVcH/MynNh8YtkDU37SH/85FlYUVuoxVrRCy bH6+TqwRFA3C6X+8a8ffex110zqb4K2LWaSMVRcktqZ/weH70TIM/jjO2gOR 1R9Ifo9/BuWtgz/Nc72gmVh7Wke+FdK17GdkPveDUbCXQ7FfG3BT9t/xR4MQ Y0D57kTsV6Ao/EG60TIMBfmvLyhat0OczZvbamMjIFs7o1ZL3AH7JL2pv36P AV/pvna5ZgdE569RbFJOwr2GdqoJow7glSxgfMo+BfI50p0vuTsgblvpdwj/ NFja8HEuJrXD5aFfskWCM3D5S52/XfdXOF+o1DGlNQvk03TcF5PaQJBBu3LC cQ5e8pLsxXG0gtirqAuqCvNQQ3VpkeTrZ0Cnaku0KRcgKbfB08+oBTpDjaSU vyyA0CNT2z8zTVAa/oTyo/t36FGfQGv4ff0Uydb4mHURJOfVfc/24wCXXk3k XrIIE0GLbrF360HGrPrn3rUluLw16uX6BkHz3tT9O1VLoJHx+D91XA2clGj7 zee8DGtVo1gh1irYHRLEEf9ahpwW19fxUeVwRlnh9oTFCuzomoSWapZA486r vcSmFXiXM0i7PJIPzfdcJShoV+FCqV4uUU4OqM45pO2orYLWsoGCP0kWTISo qu/6r0LQT25xts5U+Byefibg/Sqk19fIDvm/hBzimf++N68CD+sEPwV5FLjM xebJf1sFT6677rJhAZBEN5sVPrcKj9JsWHotnOFSgrn5y8VVOPxb2kDULwn2 wX+jyRdWwVfcidM2wg5F/B41dB1fhUmmspJre96INXiiWrFrFYTKE6LWuoNQ paAsZqAGbydN9htN4cjoyhZheSp+vvcdN5dJYxGPi88OvRt+vPkX99pOvUK1 CesUjEqrUDJKmqFMl4zMd+wp3+PrrR5wj5G/mI5ITu6Spw6swKJvCnpaloGs kh2wydErMMRVsNe/koUINSZHha6vwEsSPpZXt96i44xOT5tXl0Hi55+I9/25 6ISd4UF/zDLwS4yq+jnmIQtHXYy9wDJUDa/yv7lRiBII1RM/oSWgOvbGb7Ow GHn12Wo3KixBiHKhoItRKdIv10m1R4uwJajYxStdjhZ+Jyd4XlyEpK/Sbd9v VaJ3RaPEPiHfIdPqurpuVBWi5PWaGe5bABOdvNkZuk/IGvsup/rUApQMPp5q naxFlWuDPyivzINn0BnudO86RGBmk+IvNweCwLLLcg2HIr4JzDE7zsJEFGu3 WG0DEr5pUnA9YgY6g9hnXpg0ofHmIJxXwjSQ5GRevvFfC2Jd2d+6EDEFDDcL A2tZv6D32VNt80WTEFHYOD1e2YrOq8lP7AdNwAlaLVNdi6+orabBOXx+DLqU nHZaxtpRzHHSmFWhUbD8tOPYrN+JWvIhp9z8G2xYajKdd+xCUfQCy30BQ+BZ wVg3ItyNfG56BrVEDEDX6HtJpeVupKditY1b6oN3T9JMeF17kN/HaJ25a73g IP7EbnmjB/G8NnP55dsNtQwKAU33elFc9aH1eZ9OUK/YjM2I60UWF0T03m+1 wWaGD/n2214k+Du55ZLSF8jX5pzdftGLnvB33yF+0wyiU58pxxV70d2u4OLs yEY4FxM3+WC9B738+ptxJggH94ilshYf96BHV737isPrgNY92BLX1Y0aSJYo g1VrwVXDmvfq8W403LLt3V1RDUJEExfkGLqQk9YqS8a9ShBft78nSdCBzmYP YWKEy0AopGREJbYNVbQUtr4cx5+729+2ezz5girmdtTU3QrgN9tw7KRyC2pz pjfQj3sHF0Zen9KhbUJ7ffPYTbq3wJJINGo3hkNe1P/9CdvNBJfPC4n6lXUo VvWO7Qvx13CTl8jhunotyvlGdkI2Oxl63/Dra3hVo4K7+80C3q+gcoouOO93 BfKK1w1EK7HgI6SamdNdisjfjZjsTUbB+9wI9tckxYjlmldiZfwLoD8B5x+f yUMVjwKFSa6GwKH5lvDswluUG3tiViIoAKR8NM67KWYhbIGfuYyuL1zLiYwP UkpDPTvrAvK2TyFzs6ntFXEi6tCRXYs67Qb8TZE5PO/j0OeU+0UdTk5AfXJA o5YhGlm4frug4eYA1vMD+hJ3X6CN54Kju7+t4ZtftH+8TzAy941S8xizgFEf SYEP4f6oVlxZKs/eDDR2TLGEar5IkbVzNfCtEeAUFZyX0j2Qg4b4iwJNXdAY tanak3ZGC6tR3NqpmiCxFu67xeCAxHVvxFwYVoeXx1oFgmstkdngJCVbzl0g H1xtDa4yQ0/KKnM7mm7B0/zpH2xfjFDuTSKhqo4bIMrAeNpKXxfZp8dwnKGV h+vqIfFlFfcRHaUlhoZFBnQ65YMX9dRQwH8q+RftJGFR3iTT8a8yiil+YP82 Wgy4KEw2Oz/eQIddJiwcNlfgIMoNqF/JoeRme0a2QWG4TLN+KS4VgzyNb0aK WgmCfdMFkDGUQGdj33WSqlwEprPLjpaeV1AXo5tH2vY5CNxXfG+fJ4SovtU+ 2JI8C58f68npq19EVp/kIiwPeMDDKkwuL4QPxZmv61HycoOCJJ8HKuZBHdZ6 d26JcALHtlPNn3Oc6CDl1L7vazZIzzvP84SGBUWybNHl5TPDGPvOH3cdOnQt 6Tlbvj4jmFFQZjWOn0bFTEXb1JH0wEUTy6C2QoYumTW3yvDRQcf17x1VesSI kpJD6O1pWshxJFVlz/mLDZTa7cZK0YDDjW/dnSw7WILc7QRbA2p4tJnYdiP4 OzZaRUyEcYsK6rLbnx6b78K+5lq7a7FMBVyWE3wXOJoxqZOH9jevUcNK2ZV8 d7dpjMrOXnPmKDXYvsIOLfCvY67c9TZk76WBy2IqUYVndjBXR7gObzvR4ec7 ZsCKDjA0fu3q7m8YIFfU+PxVFRLwrfj7yMubGVTKrlU/ZycHT18jNz0ednhf 9/JGfTQVfAksCV0b44LbshV1xyfoYCe3qnm7/gxYpNnSpguzANXYQfq48Tmg WqBYTLHkglqHAs0OCQGoGHq7NZDHB+dyZ8vbB0VgVPGgcE9fEJz4rb7cMb8G qbf8Hm7VicJjiUg/LJKFXkqyok1ZDFTG93nkMCiCto6FUTOzAhAJKP1Id1eF eib2/dPPbkNxh9TQ+TxN0H3g8kMqXwN+vDkZZM2uDwqkv157j+pAZB/TTVNk AnyETmcy3IzhUUSULbHIIwgbLP3b8+khrEqIRf1Utof/hjvy3ZJswY+19PJF BWdoOqceWHXTCR7azj61vvUENPtvldxj9wAtwS9jK1TP4GEKdkNPxxdIPQeL an4EwlwvD8RQBcLeftDka4kXUJy3t4ZYn0MKmTF7OV8M6Hc1WHJZR4PvOoE2 peYrIGRWwNFpvYSfnJyhAr9Tobz5aaRebArQDOuHUt3KBGVRFrkN7QzgICLt D7v1FrRERy2aCbIhgOHypSauPHhoc+uzjtY7qP5AKq3RWQRy5TFZWOcC2L9U dsiSXgr3jklw8VOVALFIr4d8QwUUhtQ5aJSUwbdp4WQl42p4plT8zuJ1JcxN q/a8CKqFYFWPSI2xaniqNq5CxVUP4YeckcFmtXDGLUT8VHsD9A2K/9h6WQcf Hj1PMupsBjKqO7u/4nFwn1r9Q82FVqidH1VwyW6EN0uXv1852w4K7EMHPfea 4d70pUHfS12QVOQmQvynBbCPg0VU57phwtKS2ybuC9x/tfE7rqoX3Ex3PqbR tIG8j6ESR3Y/aKrz3f5s/RVcCva/7ucMgmi462nZ+HaI7ypRCKodBnsZ7YhL gR3wSmfN2WlqBJrRwyZekU74PpQkuX1qHH5zWQV+SegE04gQYUeuSTAg9pRQ KO0Ee+FnwpviU8DJ6JgQ590JmYflN3XuTEMBcxR/ymEHNOnNqLMbzIA0s+gI 4bUO6L41vfuf7yzcXNQzPMXYDnQ64gFD8XMQWyO3+ru0DYx1BtKJHOeBJTc3 T8asFZZoqUl4ZBfg+sqPIMffn6H10e8wT9LvcI6vZumjVws8Yb1HnFj7HRiv 0OssbDfB8xn3wWuWi6D06eUJNqtG/P2MnF6PbAmKfTi13k/iQMx7QIIveQmO CT8X2zKoB+JcKZsl7mWIuBnC2tiDYOrpaZmNdvz5ylk2nWH6E7hwB16jN1sB /HH74nFMFZy41HL94vwKhF14QLK/Wg6x/sF5nJqrgKVhrJLfKgF+FePAqQr8 eXYnqb4prRDcaXRY7h5fg6bED0tGO+/AoS/Bhl9lDbrvR71/M5MN4VGTtRRB a5Ae4iFF8CATPmgsGe+jNSjmOV2+oJ4K4TKFwifW1mBqYWxx8OIreGFLHSBE sw6aNy2FQihioKT4yisWgXW4L5z6NjnmOfguiqqdl18HTkqyNw/dAmALdfs+ VV+H/Cf9FFsnvOBs5cWeQ711SCNhUTMgdYKwH0VkTqbrMPz9O/MAkTnckQq7 ZfNwHTLS0hy07ZXAapDLzgRvo3cGVWN1SsjqQrR6Cb797tLBt9PdxuhyrYWj p/46WBgwkqZN26Kdi6pZShrrQFJYMpLn5YxYSaLilBXXQWTw145MvQd6e9os JEViHZyVEq8QL3gjo/Cg63Ln1+Fycf1uyQk/xHiV6pcQ3Tq8khQnOlkWgKYu odu3/66BOKW1F/IKRh5nrdJMZtYgashpWNQ9DHWRxWfLNeNzdQKX3YJwVG8Z r/kuew3Uw912GuKj0Fjwj3CFZ2sgtDZK1O8dg5pEVDOqtNeAp3T29GhCHDqZ y/cy/iI+D1aR+bP0EtUeGBIa7a3ClUdKqb88E9FgWXxEWP0q5LLyJRtqpaBH Ezh+F/x9hT0/ZK/aPx356oXjrDCrQG5239owKAM1d6mmpP1Ygd8bEZ43ffDn +0+vmflTVkCGdq7VsywbuROtrRBLr0D09kjc/IVcdCdEhPVO/zJ4J9ooqE68 Rz8TSGV/Gi8DUcaHny3zBSjrssJi8NQS5JPd8Nd+W4xiiCVLndWXYPTEmCZX ZClSIByG2dJFuFz+kNiyohyVtpjWYQkWYdHf6jUPzwdEe81nIlXiO3wVPKdY OlGNpNcHaZT8FuA7MYV0gE0NEj1+jK21ah7amcakRWQRei3xXzrHyByEn8pz FhCpRzwfo2qPL8xCItlUVvpPHDo2PH91nWYWBLRsvog/aUTGqcMf8i7NQPm1 U31PzzQjk7K6zs+i06BtcXfr/EYL6jjJctDAPwV6mU6JBFNfUBuPZ94NlUlo C2Bde+TehjJ0RvWf4cZBkMBfdoanHckQn6+X6xqFXAMy5drRDsRc2QSuZ0bg vHJozWO+LhSsEjrIZDoMWuz5BWXjXchwu9lWJ3IQFIINGv/GdCNTBvKRn7n9 8JMlxFNHugd17/lX65b0Ql+WgJhefw/65cb7nj2vGzY5vcm07vYiyr/0DhZX OoFiIiLyRXIvSsreVjzH+BUsdi6VxL/vRfw7/J0s+58hPHoSGx3Wi3QnGxPD 3zZDlKlIhoRKLxpnl+P+qNsIHb7dwxELPYj8HGWHLycOCtTZDwi1e9A99vr7 vmsI/NeYW0iTulES4+Ncje5PoNtFxjqW14VUW7mcD35+ADkSPkEK9k400JZk r2lQDifv3989F/4V1bZht1O7SmCNwIB6z6gV8acu3ufcKATymxxO/IyfUZZ5 QVNKwXvIiv0bp1zbhFTYeybVRt6C0+xhw1WTBhQ2//0JnXsW3B56rNtAV48C T5I9p/F9DfSkygqrjbWo4T/DZp1vyZDAeoCrz69GJw2/pBPbvwIj13Cfpo0K hItnlTmVHwuGQbJWc4mlaELpsryudxQY18vQmd0vQou0d3jfZj+HzWeBbw5k 3iPnIKXNJwLBEO06pJ+7mI0Mf9Wn5Lj4g8LYibxK6Ux0v3xbxsbMB7YkyC85 /E1BxHeCst45PgHdmjvfNigSUARf0N8ETVd4Pnu98/hOLFLhNI7qX30MnrXn +mvx37PlsvkkL5MDXON8OVaX9BytrAoJy7pZw7r9hVNSpMGo8zgd2WCgBWyf iiJzxvij3RoBxQ1xM7h6Q2pCldsXtQZhCawsjOBtqN+M02UPxLziZSHTqwPO H+sFp9udkGj8cPAHVk14HHLPLfe+PapyfaZjrK8OKm5cQiJbj5BSx9gPT3QH Pj6nmpInNEPint4mB+tKYPBttu8jrxFauybCyHDyBhwem5k0kdBB01Ff6amd 5WC6rCqIrVsDpW8qRpkIAswK6b1IylVFCUS0wl9eXoOUcCLy/vFbyHY1VtBy /CqEPohIVO9XQFkF9I+m+0XAjoT52e8xWeTDa8Srri0Mmrbnz353kEZdLi+8 22IEQM64/76OpTgaEfzr0ZtwAZIKrzhVVomgt6nPhzQMz+F/b3Ov3TolhM61 pK39rOGF4vW7kV/vXUAfYye21WJ44J7ZSnFd1Vl0gn3fxLmFC5Ymr2qHk/Kg UsmzYSWxHDBZMmQ0cJIDBW9HJUswsEFhXA/VIC8zssrJZJgVZYb+TNuew3ha 5DY6/Nh/lwEI5qb+Or88hWLZGb1kxOjBtYEwZWDgOJpuzGE9+EYL+Q/b+yXs iRDF32X6mE4aIHN/0j9I/gfrQByX13mMBr7Y3YwyKtrC8girEnaJUYP2Q/Er PYLz2JUMIXOyESrgdqOiKH/7BXvqvtpz1gkqqK+vbfiY3o453CTd/IQ/vxPG YI2u3J7FdDOnk4YsUQOvWK7dZvAG5iQjS0zPOg10lrpVTlzcxbzY09idR3TA 9Ca1zVCCAOSl5AQoxRghSdzSYSiVFCynfxFSOrOA6GnbthgmCiD/JhWcmcEB VdQe8BG/ToOrWnbef7jBs1hN3XufAaw+z/plmZwFBVYHC2sxdnB0NekQLOcH O89eGaYIHnBXuaFC2CwEr6kULP6r5YeF3Pyik+JXYaXrza/hGWFIvi2aWvBV GsY63QyINsRh8TDinHSGPKT2pqO9eRmYZVM/UUBxC4S8ZIo7dm7A/wHj7tq3 "]}, {Automatic}][$CellContext`t]}}, VisualDSolve`VisualDSolve`Private`m = NDSolve, VisualDSolve`VisualDSolve`Private`filterOptions[ Pattern[VisualDSolve`VisualDSolve`Private`command, Blank[Symbol]], Pattern[VisualDSolve`VisualDSolve`Private`options, BlankNullSequence[]]] := Apply[Sequence, Select[{VisualDSolve`VisualDSolve`Private`options}, MemberQ[ Map[First, Options[VisualDSolve`VisualDSolve`Private`command]], First[#]]& ]], Attributes[VisualDSolve`VisualDSolve`Private`newOpts$12998] = { Temporary}, VisualDSolve`VisualDSolve`Private`newOpts$12998 = Sequence[ AspectRatio -> Automatic, Axes -> False, Background -> GrayLevel[1], BoxRatios -> {1, 1, 0.4}, VisualDSolve`VisualDSolve`ComputeWindow -> Automatic, VisualDSolve`VisualDSolve`Dimension -> Automatic, VisualDSolve`VisualDSolve`DirectionArrow -> False, VisualDSolve`VisualDSolve`EquilibriumPointStyle -> { GrayLevel[0], PointSize[0.021]}, VisualDSolve`VisualDSolve`FastPlotting -> True, VisualDSolve`VisualDSolve`FieldMeshSize -> 15, VisualDSolve`VisualDSolve`FlowField -> False, Frame -> True, FrameTicks -> {{0., 0.5, 1., 1.5, 2.}, {0., 0.2, 0.4, 0.6000000000000001, 0.8, 1., 1.2000000000000002`, 1.4}, {}, {}}, VisualDSolve`VisualDSolve`InitialPointStyle -> { GrayLevel[0], PointSize[0.015]}, VisualDSolve`VisualDSolve`InitialValues -> {{1, 0.95}, {1.5, 0.95}, { 0.05, 0.05}, {0.23875, 0.145}}, Method -> Automatic, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclineRegionColors -> { RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]}, PlotStyle -> Thickness[0.006], VisualDSolve`VisualDSolve`ParametricPlotFunction -> ParametricPlot, PrecisionGoal -> Automatic, VisualDSolve`VisualDSolve`Rainbow -> False, VisualDSolve`VisualDSolve`SaveLastPoint -> False, VisualDSolve`VisualDSolve`SaveSolution -> False, VisualDSolve`VisualDSolve`ShowInitialValues -> False, VisualDSolve`VisualDSolve`ShowNumberOfSteps -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`SolutionName -> "Solution", VisualDSolve`VisualDSolve`Source -> VisualDSolve`VisualDSolve`PhasePlot, VisualDSolve`VisualDSolve`StayInWindow -> True, Ticks -> Automatic, VisualDSolve`VisualDSolve`VectorField -> False, VisualDSolve`VisualDSolve`WindowShade -> None, WorkingPrecision -> MachinePrecision, BaseStyle -> (FontSize -> 14), Epilog -> {{ PointSize[0.04], EdgeForm[ GrayLevel[0]], RGBColor[1, 0.6666666666666666, 1/3], Disk[{0, 1}, 0.05], RGBColor[0.6666666666666666, 1/3, 0.6666666666666666], Disk[{0.21875, 0.125}, 0.05], GrayLevel[1], Disk[{0, 0}, 0.05], GrayLevel[0], PointSize[0.02], Point[{{1, 0.95}, {1.5, 0.95}, {0.05, 0.05}, {0.23875, 0.145}}]}}, ImageSize -> 350, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20], TagSet[VisualDSolve`VisualDSolve`Dimension, MessageName[VisualDSolve`VisualDSolve`Dimension, "usage"], "Dimension is an option to ToScalarEquations corresponding to the \ dimension of the dependent vector variable."], TagSet[VisualDSolve`VisualDSolve`DirectionArrow, MessageName[VisualDSolve`VisualDSolve`DirectionArrow, "usage"], "DirectionArrow is an option to PhasePlot that, when True, adds \ arrows to show the direction of increasing t."], TagSet[VisualDSolve`VisualDSolve`EquilibriumPointStyle, MessageName[VisualDSolve`VisualDSolve`EquilibriumPointStyle, "usage"], "EquilibriumPointStyle is an option to PhasePlot that sets the style \ of the equilibrium points (which are shown if ShowEquilibria is set to True). \ It can be a list or a single graphics primitive."], TagSet[VisualDSolve`VisualDSolve`Nullclines, MessageName[VisualDSolve`VisualDSolve`Nullclines, "usage"], "Nullclines is an option to NullclinePlot and PhasePlot that causes \ the nullclines to be shown."], TagSet[VisualDSolve`VisualDSolve`NullclineRegionColors, MessageName[VisualDSolve`VisualDSolve`NullclineRegionColors, "usage"], "NullclineRegionColors is an option to NullclinePlot and PhasePlot \ that specifies the list of four colors to be used for shading the directional \ regions. Three defined color schemes are Pastels, BrightColors, and Grays."], TagSet[VisualDSolve`VisualDSolve`ParametricPlotFunction, MessageName[ VisualDSolve`VisualDSolve`ParametricPlotFunction, "usage"], "ParametricPlotFunction is an option to PhasePlot that, if set to \ ColorParametricPlot, causes a routine called ColorParametricPlot or \ ColorParametricPlot3D to be used to form the orbit(s). This colors the curve \ as the parameter increases. Another possible setting is FlowParametricPlot, \ which causes the FlowParametricPlot function to draw the orbit."], TagSet[VisualDSolve`VisualDSolve`ShowEquilibria, MessageName[VisualDSolve`VisualDSolve`ShowEquilibria, "usage"], "ShowEquilibria is an option to PhasePlot and NullclinePlot that \ causes the equilibrium points to be shown."], TagSet[VisualDSolve`VisualDSolve`Source, MessageName[VisualDSolve`VisualDSolve`Source, "usage"], "Source is an option to PhasePlot that tells if the source was a \ second-order equation or system. For internal use only."], TagSet[VisualDSolve`VisualDSolve`VectorField, MessageName[VisualDSolve`VisualDSolve`VectorField, "usage"], "VectorField is an option to PhasePlot (autonomous case only) that, \ when True, causes a field of vectors to appear. Fish shapes are possible for \ phase plane plots via the FlowField option."], VisualDSolve`VisualDSolve`Private`getDomain[ Pattern[VisualDSolve`VisualDSolve`Private`ifun, Blank[InterpolatingFunction]][ Blank[]]] := Flatten[ DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionDomain[VisualDSolve`VisualDSolve`Private`ifun]], VisualDSolve`VisualDSolve`Private`getDomain[ Pattern[VisualDSolve`VisualDSolve`Private`ifun, Blank[InterpolatingFunction]]] := Flatten[ DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionDomain[VisualDSolve`VisualDSolve`Private`ifun]], DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionDomain[ Pattern[ DifferentialEquations`InterpolatingFunctionAnatomy`Private`ifun, Blank[InterpolatingFunction]]] := DifferentialEquations`InterpolatingFunctionAnatomy`Private`ifun[ "Domain"], TagSet[ DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionDomain, MessageName[ DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionDomain, "usage"], "InterpolatingFunctionDomain[ifun] gives the domain for the \ InterpolatingFunction object ifun."], Attributes[C] = {NHoldAll, ReadProtected}, VisualDSolve`VisualDSolve`Private`WindowExitData = {{ 0., {1., 0.95}, {-0.44600079123713776`, 80.}}, { 0., {1.5, 0.95}, {-0.30968627224072637`, 80.}}, { 0., {0.05, 0.05}, {-80., 80.}}, {0., {0.23875, 0.145}, {-80., 80.}}}, VisualDSolve`VisualDSolve`LastPoint = {-0.704523308134073, \ -0.06231080970194468}, TagSet[VisualDSolve`VisualDSolve`LastPoint, MessageName[VisualDSolve`VisualDSolve`LastPoint, "usage"], "LastPoint is a variable name that is used to store the last point(s) \ of a solution."], VisualDSolve`VisualDSolve`Private`sol = { 60508443[$CellContext`t] -> InterpolatingFunction[{{-80., 80.}}, { 3, 11, 1, {642}, {4}, 0, 0, 0, 0}, CompressedData[" 1:eJw12Hk0lVv8P/BwdONSlFKGzPOQY57Pm3OOYz7nPKcQRSWJUnGVoQGlZIik 5FKKDMnYgEZn06RSKiGlNOlqcEUZiurn9/3e715rr9fz+az92evz/LGf9ayt tmYzFSI6Y8YMkem5+/8//M9YSgK/+k9ZfBaQ0KGpRVZXBaT95XezTbEC0uFk ustbWUC6S8JbjVsoEls7xR3dTRGFy5ndV5gUuXJDNWg3jSJC0fAQuU4+acH5 DWWlfHJz11Sk9TY+KfSMe1VrxicxCmPeOsM8whuIulZYwyN6DUMGCzbyyEof mpGnGY+oD9JX0Ea5JNUoIHDLHi4Zjkhe1SvLJcd3LnJxyPQmbgdqDAolvcno Mabs731epLjq6ViQmBfxvhrRSxI8CWfT/CWuCp6EoXotqf2CB7F+vPaJD9eD 0JOldF5+cCerauSeu5S6k4NPlbJqV7lP96vFXKjkToYMjcYTu93IYl+Lyg+H 3Mi1JJbRdw03ElAlqJ1V70p+dK2hL3RxJXkiUed1ujnEyjDJwmo9h3T6HGx0 +e5C9Mv/2vOqxoUkjvtw49e6kE6OraKcwnQ+T/mf6nY2SRiYcZ6zl022LZ0v rWXKJhuJXqhoH4sEGzo296WzyPI8SvGaNYvwaKFb8/uZZK/SLdWeAia5Yq7V Jk8xyRfP5BifWUyiHfJW/UiTMwnY6fygI9qZ1HVe/vHvImdCMzbTkRQ6keX7 KgVaa51I9UuNREg4EVGrY1UBNSC+WXI92wQgxotWmIQuAJFy4cypPccgV5d3 XcuyZpANESEbtzQ5EsWkbwp8liO5e3jPHfpdBxJ/em7sXJ4D0btapP210570 tJt0dgTYk5Bzn2hOH+zI8OEy85ptdmRnzOq1ijQ7IuGvdHh/ti3Jte++PrrY lqirHPq6psqGREdQCn3SNuT2lblOAZutiYJkR2j3QysS4ZeTKTC1IqRMUN+e Y0nmjs7r9Ri1ICHMJ6KtPhaE1llafuaBOTm1LsbzgIs5cZ5wHd7cZEZepyrk UpZmJFHxs61FjSlRqb7WJ69tSpocs5J/HKeTjOeHSK4JnfjH5k6ZXjchuvPz rduXmZDPwXYfuh4uIfuPO6+eM2ZMNLvdejiKxoTI8PmJMCIr3P3uXAwxJBN7 gpyG0wzIkWvrLunV6RP6eAR9TaceuW+ytSL/hy4JC9+h1qGiS8RL9vz9J1uH FL1Ik2WFaxMH+UOpO7K0SA/vb5H6C5pka9rJuMEeDSJ7o3xY67c6qf5ZExao qU7crRpe57qpkRT7xQk3nFRJ2h4pm3d/LSYzM3v/YqxVIrvzqmrylyqQW1tz bCXGF5I/BfG3Yv6WJ1yT1dR7uwXksLTry6Uv5cjTj8bh1xPnEeXW+WN0jblk delU0smbMuS5x/WS1Q5zyDfPA+zdQ1JE2tv3fXGRJNHmqqVcF8wiDN4nnXfi M4kfv76VdlGMZNRmjt47LUL2KD5kaZv9Fn7u3l14QW5S6HPYYsJ5bEw4fWD5 j7pHhEsVLH2FUYNCR+sjXXkJA0J9n2/LojLeCvUGys4cNX0h/K0RUuHu2SE8 I3ThTd5rERKfiC/npK4JjY29sDnpgtDiT39V38/lQvuBdTMYvulCo//JJ/8X b//PDf8ZIPy/L9Ojx2pJqtwAxv+64T+3M5QDe1b5bU/+L05nxOT93GLfX/5f /gLj15BZ6lzaNcYX3PZbd6uFkWj5UM2o7TEjpc1eXseil8E5u3SfTPsbhseU ZNKBPf8wuJzm7ZLWnxklX+3GW+KHGUXMo3WJPd8YhTkjYY7WE4yCt14aU7mT jDyzit5Lo78Y95xE79npi2DdDVbRk5ViEOGkxERki+PYnTteM2/+AStPKc0T ExJ4/MD7h5WhFCL42Q8fBs0G7WNYxwU3GVAG6Y5JwbI4sbGqwmvnXAxW35dT ODoPtkP/Jryvk8N+E5lP5+7OR1ck3Sfh3QJonKeaPX7JI/LbX4YLFy5Ck8WR o+/oCpCKaRA966GI5Re7I3aGKKH8+8RTtwRl+MtI33W4thjSOmpX6JMqeFWo 0HXomCpsz5Q8yLBTQ0698e19z9QwSC4KE+PU4dLmfDF+oQZOdrfVRTdq4ElG bpWJtybil7MyCu5oQlV7ZMNMthZujZzwiCRa2CD0Mui104ZsxqQkp1EbjX4V H8+a6mCllu9dpRodiI3QzqTo6aKi6VzqSIkuuOmrwlaq6mHUd7Zba4EeVjOf 68WK6OOB8WlJ3VB92Cls/dTdpo9ycee2FFMDyA3PrrbKM0Bi7/MD//w0wODt 05uOBhvC//xWLueOIW4VOpuMGxvBLG2ObPlhI6io+pm/HjCCVMNJX0UHY0x4 fIhflm2M/tf0wqx+YzyKiW++Y7ME7xd8eFO5awl+1PvSMq8vQYr+27nWNBPI xudrVGib4FxAs8MbZxNQDgO+ikEm+Pg040zgNhPsjqb/LDpgAgWZLm5/iQnO VsYX6141gRtHZXRDhwlev7nOqf1ogrhd6/NHROhIOkNF3ZSjI7XL3j1Ph46D ojrqG2zpyDOW/eHgRcdJ/8lHMqvoOL2vv+JtFB1159qTGvbS0fjy0vLUPDqE kiX0FZV03LbMlFjSREf7mtjXIo/o6M5cc+nJWzr6Lntml4/RcUrzplGJtClm 6XDG61VNsVHvDrltZopHBh5pPS6msDS+L/i03BT5JlzlnxtN8dv00fvZiaZY ayGoU80xBT87xvh9pSkcBguqKm+YQt+N6Ee+MIV86bvTlmOmoIlI6EzNNsPw CqPSZh0zvLjI10iBGe6d4UQHB5rh0jGHm4wdZijLNFuglG+Gw4l6oRONZtgd pXLxSacZNq+dL3H2qxlW+vzpf0DWHGm6TW+PWZuj8ceWiKogc/S3aYxf2WeO uSe6Eu9Vm4MRmSr5/Ik5Ipj2hz9OmiN//pDyD3ULlAsS0o/7W+B89pzvOGQB 0n5i3bs7FrgvbfIkRcQSPR7EycDGEu9TebUPtlji6+1XSlGnLdF579irdROW aGz3KwlwtUJ+h9x6Xp4VdnQ/NGAPWCHwecaQjbU1nPpczxvvt4bGW1qMxlNr HP/bOfeWig3keYn1YaE22MVQljU9boP3xpc3/nhsA9K56eT+3zYo2KHxZIGh LbZqPP2j1M8WvLsZdmZ7baEf6bS5+awtaAvHirkvbdHXdKbrhaQdLoUESW60 ssNhKTnHH8F22HS+NXL/QTusjUzaGnrBDsuX2Ma5PLUDd3Bkh9aUHViVlYk0 VXvYhK1Nfsu0xxId5f0tofbQ7O9ML0q3x6JTmVmJtfaYs5qTE9RhD5rKjKOO 4/b40XsxX1nRAUP5kYVTjg5456df/HyNA76dURx8lOEA2k8p69YGB3y4cVn4 s9sB9zPWc8y+O+Dc0gXt6xUckat0w6fQzhHb30W+7FjhiKAqlXUSuxzBir4/ 6HjCEbr227dGE0cczNintPr7tF0Oryt0GchSHS0d8WUgM7wq3C6FgQMXgpck NzCQ8UvhW1s/Ay6aYb1pkgD7zg3HJerTblIt6rABWPN2iMXyp73YHaIUBjBX mrWSxGlFs/RD8qYt/5ghUQc4e7oMVd+edriIT/UBo4GnVtdMARVtJZGSCk5Y YVuWtM7KCTKny7Nbljrh+vyKosVRTojZc+ZsfJYT9Icrm7uqnPAysPqR6V0n nHOorJB674R9ShVJ70Wc4T9ZtpwoO8P4WQk938YZYpeKJaKXOaP76MnXXpHO qNxWeEnngDMSlh3LFqlwhsA8P+z5DWfozstzqn/ljKnhI4uyppzRtKlwW/Fc JhI/lXXU6zLhtL7W5I4jE2L9jQd6lzLh6xR4VnwdE5XHaZ3GMUx4n+f4xe9l YqQ17fnNHCZyX94PlC1mwuabzJsVdUy8kFgacrqJCQWfKyyzu0z4FKtrNnUy kfNvqpjbayYe2g6/6fjMhFSKX0vgBBM0w9vjciIsTD20MLonwcJjGeeFzTIs VPC8xRrlWUg86P9v1WIWfB+u6ynWYsFY5q8beYYsiPMSajPNWOjNSs9PtmXh wfCpfBWwIBRczb/MZuFs/ZP8ZR4snJIfzP/CY+FwnHhBug8L+54rF2ivYCHW wbKgeTULYSe8C1aEshAgElowvpEFr+CEgkNRLDjePFpgFMuCiU5dQetOFtRS WwuC97DwKd9tq2E6C1Lb07jcbBYMA+7pRR1lwdNOinbkOAsRil4vG0+xcGDy wMVnFSxUP39w6GftdH9X5kSoNrBgPkffeGcTC/lrWEM9t1gQaQiss2xnIVQi LjKnm4X7K3JMv/RNr6ur/uo5ML1OrPVCxRcWAk8Zvo/6wYI6M1vensbGP29G XcVns1G52z/+gTwbm9WFlUfV2DBv0XixyoCNidX7Z+tbsFF6K6q8HmwIDFbC yZONGQc5PW2+bFR/o0f5BbPhv1zpz3eb2JjVNLNkczwb9erD9pN72XBrONi4 PJeNl24mphfL2Ih60V61oJGNmZGbdbbeZqOANqe4o5uNJXk1SqYDbCjUzcsI EnUBrTV2MkPJBUN9L8IvW7rg2bjzs394Lrg557Tb/A0uqNORvuS81wWfinR1 ukpcoKPEOhJ2wwXBuUFiP9+6oFBme+RBMQ6epeX2aWhwMF/8nFejMwf8hPtX 3NdwsJ4Zw92dxUHCH2pvL13l4Mi9u9uGP3BQlRUtqSfviuuCxYWrWK54Jt9K z4t0xZfnkTfbC13xQvbR4OVmV9zhmCwoe+eK+p1Zjtl/uKHo/L/rdui74cAH r6xQLzfEqVQ3UlvcELJM6pVDjhtktPze373ghivfTn327XKb/o8aGnk37gbZ w3bfIxe542pwyu9ftu7oMmm53LrMHV9+Tm09tMUdkves6CvSpzX82sAqmvZA jb1Rozsk/g1rmX9/Wq6W668309a9uv9+YlrZY4L22R6QiPLtadSctmNu0Enb ac0fvNvP84Dr5J73Lms8sL/FZoAW7YHbqUMfWvZ6YCa/9FPiUQ+4LAwYdKzw wN4+maGpyx64WXbry+U2D9A27RiJfekBpoXpN8svHtgz9c/oNxFPtFw/Pn5u nidE0wXft2h5womSmDS28kRQ7a6tl909sUvq2xA70BOHrY3D4zZ5onLt+ndV u6brDhYHvsr0RM/V3qfzTnhiaGCBgFPriZnz+ffjhZ5Qdkrn1LR7wjziZvPr Pk+ULPsxMDLmCTnHJTK02V5I1l5rNV/LC6Oz/w7UtvdCyPj9vVYCL3T2iVa7 hnuB3Wr1ZHmSFxrqNk6G53mBUrdLPHrBC0M5EuI3HnohQ/xp6pfPXtCLKZut LOGNWwPROW5a3gj2Zy7c5uSNGW2yx4tXeuO4wyu19jhv2NbWlE0e8Ua36k4D 3XPeiD7kUbf0gTd6bG0WJg55g/FWO7FShovSdLmBLjoXkuaiPFEBF1t6hxqN ornoSn6hsvwIF3ZG91KSG7hYk7cy7lo3F6liX8LHJrjws3KqkZfm4dNGSZ0L yjzsKu44wTPmYe7TYwsHHXkolV6XncrlwZq5RFJ7FQ9tsRO7W7bwEFTTPBmY xMPI27ToyWwe9i1aOni0mIdFXOV15ud5YEqzRuOu87DpXniysIOHvNTseeLv eGjhXCx2/8bDoHgf/SCND/kb4s2dcnw47TbkKWrx4cWozD5hyofflF6HBvhY e+m03GkvPjZv0/ExDODDN/es7ZcQPhwb7FQubOFDu+umWOx2PmaPcQfs9vEx KTuxMC2TjwGjk25Pc/nodHON1z7Bx8ptj+K+lPLRX+wfd7mKj4j2t7HJ5/kY m9wY632Zj126YzELm/mYuSwh5s1tPrKSZsVUPeCj0KxX2NTBR01/7axHT/kQ +zgaXd473ce/dq93vuKjaiTJa+k7PmaM376kP8DHsklpbZHPfFT8FhzqHuLj l1j+r+qvfDy26l9aPsZH2QaTypPf+Yg7sV0kf2r6fTtu+eb85kPtj7k1GaIU Rm1X0vaJU7iz6bR/wiwKx4u/1sX+SSGyy/GPqNkU2JJpKzfIUljk2Hl+rRyF wUhVyUB5Cs2lG1b5KlDoYJygSyym0Fv/6cwfahT6Daw1Z2pSGCpKPk7ToTAh /2iBmD4FkUzlgyJGFCRp4RIzTCjIxTfs/mVK4cb+Z1vYVhSij/4KzLCjoFmm 7tXBoPDkgoudAovC3uvheqtdKVg8zpQ/7Tm9/6tz4kM8CtU/ipu6l03XyeXE EH8K9sZ7TCqCKNBc//qQvZbCvdXBxfFhFHK2CwKCN1EIOMKU8/yLwk+GZs+C OAonP9IKX++i4Hykf01V8vS+jFs6MWkUUj6WfXY6SEH/SMpZqVwKbYz127oL KOT1++ksLqEQnO72dG0VBWO6bWrlBQrfu/RtR65SuLlD8ZP1TQoH1aWOJdyn YFiu+qHmGYVWAwvLl/9M19W57ZEepfDbPPChvagABZeilDfOEcDKMSW8QEmA xs31Qn8jASyL3sopOArQ8Fg2vMd7OqZBmBckQL3FJjm/LQJYhB4Lk0+ajvPu NnVlC2Cossy7/rQAp0r7XuQIBVAwDI+I6hJAekG9pc0nAf67B8T/A04292M= "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1QFHIAASBtBur8tKkiRJ0iVJkiRJkiRJkiRJkiRJ0iVJkqwuSZIkSZIk SZIkSZIkSZIkSZIkSZIkSZJ7e8MzP+D7xvy7/j/lrf8ICAj476+A/8/fFUgQ vwkmhFDCCCeCSKKIJoZY4ogngUSSSCaFVNJIJ4NMssgmh1zyyKeAQooopoRS yiingkqqqKaGWuqop4FGmmimhVbaaKeDTrropode/tBHPwMMMsQwI4wyxjgT TDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5F1xyxTU3 3HLHPQ888sQzL7zyxjsffPLFNz8EKMIvAgniN8GEEEoY4UQQSRTRxBBLHPEk kEgSyaSQShrpZJBJFtnkkEse+RRQSBHFlFBKGeVUUEkV1dRQSx31NNBIE820 8LfkbbTTQSdddNNDL3/oo58BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZ Y50NNtlimx122WOfAw454pgTTjnjnAsuueKaG265454HHnnimRdeeeOdDz75 4psf/h7/LwIJ4jfBhBBKGOFEEEkU0cQQSxzxJJBIEsmkkEoa6WSQSRbZ5JBL HvkUUEgRxZRQShnlVFBJFdXUUEsd9TTQSBPNtNBKG+100EkX3fTQyx/66GeA QYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaE U84454JLrrjmhlvuuOeBR5545oVX3njng0+++OaHgH/Kn0CC+E0wIYQSRjgR RBJFNDHEEkc8CSSSRDIppJJGOhlkkkU2OeSSRz4FFFJEMSWUUkY5FVRSRTU1 1FJHPQ000kQzLbTSRjsddNJFNz308oc++hlgkCGGGWGUMcaZYJIppplhljnm WWCRJZZZYZU11tlgky222WGXPfY54JAjjjnhlDPOueCSK6654ZY77nngkSee eeGVN9754JMvvvnh7+P/RSBB/CaYEEIJI5wIIokimhhiiSOeBBJJIpkUUkkj nQwyySKbHHLJI58CCimimBJKKaOcCiqpopoaaqmjngYaaaKZFlppo50OOumi mx56+UMf/QwwyBDDjDDKGONMMMkU08wwyxzzLLDIEsussMoa62ywyRbb7LDL HvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/wQ8C/5E8j/ ADh4RN0= "], CompressedData[" 1:eJwtl3c8198Xx62ISkLRMiokJQrJ+BySjOyElJmdlSh7k5UdGjbZe6/PNT72 DtnZeydKit+H7+/P5+N17rn3nHvf977ezLoWSvqEBAQEJEcICFbgVPr+fisQ EGjPL2cYYcU5b/v/x65XGTDGWFuPYpH/60IOL4ywo8zh83uHLELec1MHmx78 qOKA8fkqc8qvYIz7f1L+f3xYArUp5rNEY/J/3JWey2yLSXz1wYOAoA3PBPed CVwxLpJf3hHimZDAJ8c3zQ1js2CjRnSod3G3+7tiNNg7yIgPdQJN+pP2mMl4 J6f/uJpXVfIFpnbl6Vviw/g4tPPFCOt9T+Hjf+OPJpxV8sZ6If5P/81n+3mO MwxbXrCb++9wPUlNv+aisPq81Z1/Dvm+BLPgR6yLsD3F70O+XtvaGYHlm6P6 uYXn/X3VvORWfyyxnTbH1mG9ruEE/mIY5VNvY7cP9ZLOc8sRGJLcK9d2D8cX PyCdSsEcSw6t/W89bjZkSnkYDHeO//FDFr0qTl+IOWbwKP/MYT3EPB0v8zFe fo0XLx7quudxFekYB+GZbqZDTqW6zBuGseW1dPiP6Qmfun7CMheMkp8/ZL7W b7hCbNmGJystnvf3m8oqU7FYDvaYBIoD3dX1Pe8lHNbmF3/a4f65GuBSXjZh LRivRK0f8jNCgfFW7LS1I/HEYT2pvQpHO7A/HcNzGg7YZY3dYLode0YH15t9 qHe1FrA0YWWjJFNiDuslU/wtVooNMr7t9+lQRwWJr1IwrxhJGNMPx79lZ9Zu w1w7wSfYfhjPY9/6aAhjeIdB43D+ca24y//GMbpmhrWH9cQFlIjzTmOoy3Eh sgfMRG61YjmL+S3hf9LjgLUFR6bl5zAEyy6ppYe80l1lP4sxfLaks3bYD1MO 9dtTGHVUwniOEN8PMBtpfz2EoTal7OcmPDwfP9HDWszd6I7emwf6/tvXpoQt WFOBQFdKPBO6bpW6GE9hLSTy8nsO+gkEQZ+y17DBXQ4+jgf51xett1a3sK1P NOQpDvutGznrtIvlqGOocD2ody3Q3Of3PpZR1pZ+du+gvrjCOANC9PqxiMnF A+YfnRf+TIimHfZXNf7h42MjTudY7GMNR8uf1PzFc84/ar/v21gnqmevn/89 GO+3olY3ic1TCZPXOmCColU5ngmMy8+wnNYDZmInkCfYw9B1q7o+xecjaJry VCklBeUQgQjWg/mi5Fnr3lDC3csV8RwH51fmaMr0IjWsLOQcMTiox9PJk/zm GTihEfqu/aA/lkFMFi30UFRTJ6lCjGdajZM3nc9BXnFA6DoJnqM2iQNOnIdP pNpyvqR4rv7XEyR6DrxkMRoURw/yrS0uLdNBMRvnM0lyPPNk+zQK0oKnE2XJ Awo821qeJ6emBKlkzMwangmDvbP+5BHAzZSrTDePHeyP8HR2Xi6GSIHLceMg /vc78RsXiJD6yewzbHgm4mL76a9Gg87RU8lQH8xXjeWuE2dGxZMZme0H66Nd 8388exXJFMTH6R/UZ3Jc7tfQTcQzInSBZBffDz8lXeusW+gXc8qPHz/xnGj7 9Lc0DxK7Ghn/aRXPE3VfGJ7zIGy0yi3PeTxfEhAWSLiFPjZr2P6YwrNumEvH T050JvdOjNn4wfcjG2Frw4LSzlUG6nzH809NZZKsU+jFWTc/HjzvwzUHBW8K OMuX7gkH8V9yHjRZXgXiqRWGhmk8L/6O+LPECxelGM1Wl/DxS5sVBSsA7i/u KH/YbAXX7piZuWkxgPbUxemD/R7h+Xv7nQS0UhItp5K1gesC+UshrDRUokCl FBp8vaVYrw0xWSDf+/zRnwl/PgdFNcwW5EDok2ff4g28/j6j+aiDPNwQxBTe F8RzcGN1W5MchB0jzz0iic/3j45aIE0GbJ4cf+X3CK8TcZ1Q+ysJU6dJP17R wDMpvehathgMBoUMMunh2Ty3K9DhLsQSczt1GOI5N2yybpIJmPuGz/kcMP1J yF1iRRpPvfmqdPH5JbslH46LoPxZStO/anjmY6H+MimDCkbPRf6Twq/X9xXX n3Rl9G6qRzaDtw1E0nrmU0fUUU49z/61C20wvjSqXqepjQw9idYn8ec9LsvF LWpfF6VpXA1xGm4FEZYT6P1VfVT1cyNwoagV4nVXLU3yDdCbssL4U96twKSW dOeutyFSWl5IGnyM188o2HwgM0TCVJWybFfx/dYWDH9EqY+kdIYvXSLA59em SmD20EHSIo7VqostgN5rvXkS9gwZNpYRmg22AIHzoiN/jTIqvdn8VLajBVwe XTwaJyiBSLPHBQaa8ToXu3/OLA0ajhgmGmnD6wULBSWu9wGz+PH4qQF8vg+a I57lKkDiPxlIu9wCYwHe1veIdOHB+MbiDZJWGM+UdDEbNgTt/Fvfz19uhYmT VZHRQ2aQ0UC0sCfZCuuX6rnmt15Cu437uTGbVrA8rT4g+dca5NjsL6Wl4esZ l2Gd3nwDU2XCrBz48/YypvRBdYc9JEtX6E9exPe7N5WU/I4TnHyryKz9rA2C 9CjIey1coLYs8jxvbBuU8i/pbha5QsAL+7K+mTaI5Hh41zbQDdy+xbVF3mwH eiWZ1y133WFg6qdHrkM72DL261bnuIOG1Nz1q+ntQHU3cU1v0B3kSxlhYaAd fJqVgqsX3YFqp+pOEVkHpGaZnx6fcIfLUuQlknwd4Drag22rdIeW/tqgp3od 4DOf9TfIzh3+HtMU4jHvgDU2F4EFA3fojCcJILLtgJtC9MRIyR28Bd2y6906 oHoy2vq4sDtY/ZnpdvTvgKjZ0vI2FneIptLqtw7ogCYdV+/nl92B5E5jhem7 Dghm3Xq4zeQOTVpzznqBHTBg3UTuxeAOcyEMauN41ubf0nh40R2CareuPgvC r2d1J4fqgju0JvLg+vG8vj1g2nvOHeJM/6k8Cu4AhV/2bJFn3cHiXfgL6ZAO sKU29j5H5w6+d89rioZ2QNwTg+EPtO5w+p46J39YB3TWsLKcpnaHOumvuN7P HVBKOfOe9LcbdB03IHv+Bc+WKVaaI25gdU/2/GQOfn2E3DT0yA1ejKhfUizr ABFlshHOODdAiR5FZybx8SKNzePEbpByY0lRnLwTmtJAcUPcFb4mnOMJ4OwE grMv6U+1OEPJ45y0SMVO4NpXiVhEjhC9/U7/lFUnUJUcbTF7YQ8PqJdjTT91 wjpxk7l58Gt4qr3pV1fVCZbXaUj56Kzgvr6T1rGBTogb/nX0174x5BjMygkt dILITXZT+rsakB0sk666jp/v8eUHNJFc8J3Bvch8uRNcH12fcD+mik5lbxSq 9nWCW2uYhnm6ORLdqsHZpXaC9tRZTQZ3O6S82+Rdq9cJV7V89fuOuKOTDnLn ivD1xL2zIGFRfosWqWgdXCM7IFdT9g21RwD6XGlXePxkB8znsT35WRCMkMnZ L39ftsO+UTSF23IoGon6UptQ2wa4Dl0nzYFwpM1GrrOAf9/ofbUyqIwiUGTa l06uu61g+/HnlGFwJDqb9O0fq0ELpDYvPN2VjkIoN1okOrAZKu9f3roQEYVY V0oStYubwHGfmVjFOgo17l1UpJ9ohK5r26RBS5FIQX1M/Dp1IwjpDwseJ4lE Sk/ZGIpkGiCnJ0PRoPE9cuD//c46rB5ceOgeR0M4kuq/J9k3jwNHcK9UfR2K jOJC0tflcNBfekdX2ToYRQ0kCaSW1ME+XRgj/ZI/cicDLYxAHRjp8WqQuHmj h3cYzmUP1ILPg/0u12JXRLWQZ1QbXgvjL7l+1LHYoDDy+Z7rlniOODqbpqeN GNQ4XT+Y1gJB/N8WqorH0HL0BF+1fy24Dibl89e/AuPSx4JWnbVgS2Nb+9Xc DRrKZPOu3q6D0pHYstZfPvBq60hLX2wdxBFzPqK1CAIzuYG2PRYcEGRmevTQ hUHJ9RzTxgYcWLJCGH1sBDiYrXHqe9SDWnB7fbT8RyhW4H3NoNEAtNcEDWw5 YgD7Lvu95ONGyL940YXvXDycjyptvG/WBAqeoTaTvIlgR5Oa7fClGcqnnNiP GyeDseffXRUi/P03P0LmWZACKZyCGfzubXCdV+roS9p0uHAKUVmwdYBgE4U7 rV8m2P7UPKMR2wm37HZP68Rkw34Cdc7fqC6wPysyzaaZC5ICzZu9Ft3wRfVL trBlHjzWf3ZeUfkrGMjCLItHPngImVIZP+iBOPH0qO6wAig0vbE5J94LVgRE RndjCkGNlp5JU6kPGHhu59BHF4EMdZXCyRffIHCygi/ctximXzunDQf2A5mU 62a9eglshd26dqlyAJquJvCxHCmFbT4hMpGKQWB72LXzyKQUdr8eexZZNQSN 7CbFv2NLYaKr+9Z69TCMTGzdb44qBTI/5+TXtSOwuZhKr3q/FAp9WHQjsKNw IXFjSC+wBOyJPymmen2H31ZsC4RxxUD4q8/6otgYKNMGXduQL4KyzG5rrc0x EHHr7xr1L4Buvm5Heqlx8HnxQtgI8qARSzm/4TaOv19Olo11ZYEZ3j1W5Y2D 5Pg7veQ7qaCIm0m53D0OXCOmOlTDCUDbPuUuMD8OwWEdKvyhH2CvN1vw99Y4 iIap01//9xbuj2VKK++Mg5sExU/KLkP0otnN4vHGOKy7+EQ8uBOG2H25DS6P joO4tjbrDiYBWS9eJrpQOQ7hRdkNVAIZSFQmvRFFjkOb1+PODek8VPtPaaDW ZBy8L6lv0awVom8FGF5l3nH41G2otmhdisiXWmhT1saAjD6ZeqCxAnUSr+3E 6I8BMo9dGujFonc+jJP77d/hosX3E1QN1Uh4ZLzb7tp3mHVpuMaxUYNsvEQl Zx1H4f7nDqnY+VpEI/TsGFfjCDRrsLj0Z9QhEa+HXkLHRiB/PtbSXgiHEhiq dgekh6GZLc1uKRqH7KOtxzPfDsFGVvBWaS8OrWiumHHXDYLfjBqcmsUhBkI3 /kc9AyBh/TBLsAuHsnRJdXJPDED6rpaERxwOJZkEsoJ0P/ierX/P/RSHtM6c eVrq+w3maHnkYklw6CmXH0V2Wx8E8ZZphcTVodl/pyhDaPrAnGnnotCtOoRo yPmKNXsB11y4JldZi7w51X+rZ/dAQVxZKZFoLWrh2LwFXV+hIlV3oP5TDWpR 7o7m+9MNQn6hWumb1SgixEvh8fVuSPW+6XTqYTX6NvKj571BFwQQhNu4SyC0 Jk/hjvDvh9ErIvaTe1VoSsyr/OxsOwiEDUlkVlSi0gukJ4d82+B84d2MHLcK FLV0oXFhpwX6FUKH42nKUUCDu/KcczNEjtY30BWWIjGKybwtuiagd6yXCn9e guqzujZu4Rrgm95RDdFLxYiNXiul0r0eKkxPTpOvF6LJprC9fCUcNMm+jshs K0CUZyenBPD3k8HdpxnNJfmIVed9wdevNTD0ptEjRzcPsS6WSQT5V8Olh18b za/kojw7KmPHEiyM0F5pjfmVhXoU2NT9PCphTrREmKUzA+F+LWrety2H4PPJ J361pSH0oUzmW2gpFPSy30hbTUH7uF6Dj13F4Hj3qOos9xdEzlm/dOdtIRTH VY0trSSiLcOqlmy7fEivtVo0n4pH6kKsTpQJudBkZWQweDwOpca35W1vZUE1 m/zk2ZbPKGicK15sPx2OpgtkVXR8QIkxUnnKqqmQ78jiT88YiU4w+958tp0M +kzqTHYF4Sjc1Mviw04C+DL3P8ckhKBo/tTMXvM4EBe2WjbbeYemHalzSN99 hlDhK2Qd+r4oVSN6YmQ2CqwyFDOnzLyQmuK6bGPve7hvbv4hZscNWb5LqJgU C4Nm/aQPHPNOKOnPPz61KyGQyfshhivCFomp7dzxZQkCssW+CsrH1iie+oKS SlgAnM6o6z3uYIkUcK2hpn/9QC2Boq409gWSic3tpsjwBf+eTGPJzwaI6N4P ebl6H5Dhar58OUMXXalIqfSl8AG65eqvZk0aSLKCd57M7i30FqZKiXuooCCx wE6lk2/B0FjmbtUvOUROP4G52eYN/D8bqogURJHN2T+CH7K9wVXCRGpinBFJ ba7uVRd5A9O1TUXX67fA0Hkl+uiEN1DNtWYk/BYH/cjbT4i43kJm6Fj9CU1F cL6OXCwS3oIjTbx9SakqJH8yPSpO7wOWUiXW/d+ewWzm8vaZZB9IvfqHgeqf NnyNMBMglfKFDV5hKruw52D8z85OgsQPMBy+dSNcBuAz4KR0uR/PY7Zkdv1G ELFyOXm7xh+a3CyWw31fwK+okOVb9QFwmdRrz03KHLaLsuM1J97BBnY5pyPA EmKG51JO0wXBE3JGg6t7L6HcTmzC83Yw8IRebyG3fwWXSx19CReCIW5+srOI 0AZMCm4rWGaGQHx9LLyJeA3ZYwnWMs6hoPaB9GH8XVsQrdvU6/IOg6mTz0pp +e3B1YTsdnlSOJwS+yf4VM4R0oU8dfsj3kOAX7rURzJn+P349D//yAjYiCTU M/7qArpFCePmKZHwjs9jjmDAFT48PCLI3BgFX5PEZXu63MBRqX1M7tcHkNyl jFXqdYdTojfjsvk/QVUFGwvHlAec3O5KJwr4DFSZK6dO7nnCFceOdfof0RAx Y/u9mMUbAi5g2YnE4iCHERf2TMQHtn9dtUs1jQfus/YfO5n8oPsFhlgoKwGi eSR6mpgDgGeQnU6GNAnuBenPdYkHgl0Yb4e3XTKoJrq4tUgEA0Pyj8byoymQ 2WUc/tM1BHjlWUkGi1JhvFNJeaYzFBqXzw5uu6cD044aJzdfOCQKOBMpWGWC g0+RnUfRe3i9rtgu6Z0Njnt13rHykRC26He9VDsXlvdcQnVIP0As5/Yb0bA8 YF1YTULDH0FG/zU/30g+XFziFGjp/gx692yfswgXgv0kWWXmYgys1mjzlJYU QSOR44BKeByQjJwzLZAtgScTvg/oGuOhk844fsi8DIj+jbY810mEVgLnQPKa CqB03Jn3Z0iGoc8FavqSWIhtudPAQpgC0n1vbuV6VsNMzoDW6LE0+JGWIaBJ UgvsHUpyZqIZwCrIPVWfXAd+jpe0w5OyQEmIVDvqRT2orji6El/IBcq3DN+y 1BqBdHDI84ZLHrB/SowwfdQMlwzfGGfN54P3ehFr/+tWIKRXpPxrUggc7zga 0urbQeZmqm4ZaTF0WphPqzB3AZ/Hei9XZQmEmG9Lqtp2w/EHtSf5/MugSGua gnfhK6QPhTzYsqoArlzKJGGbXljryeDJf1kFN48Fn4+5+A3kaWXzzT0R/NHR UJSb6gfvF48u3+mphu6KvTs/GwbhR+WWjNh8DaxWc4ZVNA2D4HzT2Km/tRCx 7uZx0mYU5MLszDq76mDYbHlU7vYYZLxvs0/9iAOPrYGfDHi/Qs8UVmiuVA9u Uld+bFpMQAKpnJnpaj38HcyTbLoxCaWglXwL78PTLG/0CqxOQoD5Bs0F3wb4 s5yukBA0BaXbdQ0inxog9U9mPDn3NAhI9NUlvm0ARqHzi6Ld0zDeh4Yy7zdA pMsv807zGbC2sS5+2lAP3qyMwt/IZuGKkEBi8j8cHPsqXuXlPAsEgy+F3tPj 4FcyUyKszULMAw3/+sVasJfjZOZXmwOGBNXlXf0aGAyyb5IumQPJT1vguomF ZOxx8VXyeei9HFOjxlYOq2ZF0pKYeZC88MsttLMIHgWmOFgYzQO9Q7uUemMu ZF11DMK6zYPacv9DDZtU8PoR9qc4dB7QmS7WRw2fIYFSCevycR5c2758T6i3 h3vxJvTiUfNARem8cEsoBN0K8eoX85+HxoiiSCuDZLT5BFfXbzUPTeduKdYa 56GEBXn2ALl5yFhsnDFWKkUfL//453t1Hvhp3g5zL1WhXrJ15/I/c0Ai5T0g UVqDiHBbLg/r58CrQyJo7Tne3wgUMQf7zIF97qUxw6UGFNMdu7d3fw6KuExs i+41o7cqx9xv7M6CWLCu1Y5WK0qtcd5sypgFFtO9PmahdtS0dJ0yUHUWXF2H FqCnA3ntFd8U2Z+BkTT5JxjqLqT8bIA5PnEGIlguXRmN6kJ+/F9FTMRn4I9k pKHLfhdqS/trJDEzDW6aJ39MS3YjLrd8bI/HNBxleynNb9uN6jmnrsrsTkGm dB//THg36levPW2EPw+NdvO+vKHd6JWmdHP75SmY3DWUtXLqRn15P70mSieB flCQ6Ih6N9J5xv5nU24SJG+uJoxf60anz+ReFZ+dgKP5qW88fnQhomFaWjKX CfA3L/pHWNCFKn1TGbXPTsDxs6W91OZd6Ekum/bHkHGgZcTtfifvQpppdCe4 TuD9bpnagyHRTrTbLvLKhX4M+H72MEabdKCXl26ey7/4HYTFuZtpQ9oRZ7Cf BuG1USilN/7nUtKGbv/SsDAQHoGdcZF2t7FWJJPF0dmhOgzoO52aFEUritIk iZp+NAQzuzIrRqdbUBzZl2CBJ4NAvtZeZcTajMRG+OjCDQdAoEKSckK4CaU4 RK3lOPeDua284Y1njUgfY4GRjvkGn5f2NpzcGhAnKf36xYY++MJ77u50Vj1q ecxaNLPVC/R5PiTPJnDITvWo4jmKXrit/MuOfKcOdYpKLIRc7QGN929p4Vwd un32yfCYwleQosW5Vt6vRYwvb8V+dO+GGwycR+/a1iC6jXCaZ1VdkPm87ohh YTXyePY7pYagCzCeXRXLGwj5km6MDER1wKnaH4rX/bFoAxNoaV3YBtQpjl9/ pFais29rI36stEBXrKkt43Q5KmtKo3MVawbXMKvpPYEy5K+bu69X0AgeBc/W 1jJK0Lk2fgNioQZQIeJg0uctRjJnllm/DeNgQJRPc6avEJXT3KlV7quF7Gq3 v/xd+agsF22yEdbADPXJ5yl/c5H+9NVL44VY4LmUS1GXmY20GO3a/coqQBR7 Xfp0fgayvHLz75OjZcABoa81CdMQXal40oWPxeB/LqXqTdgXZMFiK2C1WwA1 hIvFVFuJKP2U/Lfw9DxgunVm6XFSPDrPtNZOKJwD28q0UaFcsSjJYnbYISYD Sl/SkS+HfEJaD+41u7xIhQTOvONJmlGoMat3ITIyGWaznzJJ+L1HwVU0XtV0 icCc/vXSV/IwdIGfsbWMKA4qxY+33JsLQk7b6qdU8O8cTU9f5vlyP8Qxo3Cq /20E1AU82WvW9UZK4bpJT+ZDIRFzYigc645MV7BGNSgI9vaj9oq1XdBtbTZl uUw/mCnwHVQDe2QeXNhdYeYNa4TZn0nWbdAMMcm3mAQPMAu2Fyw8/QqVd5lF 1fPgfUV6n7NuhCUKv0X4mI/bGSKFPxcpt5mi3b7kSAYfe6B46PhEdMsIvWPX MG1/9ga2BERFHrzXR70fEq9cirOG0xENbU8/66IqJQ1ScnErUBp9tDHwWwvd KKyc31HC+ywqI+1bzk/RCzrOH4vyZrCuGFQZ6KSK3pJWlzPamQCNmptL7cwj lHBW/vsArRFsf9sy+ZCigLgr2BWF6Q1AqdQvSejFQ6QYwtqh3aAHkzfOfX5P K4EIr33aLM18DqcETzLtk4ihbTvGuq5GXXieubgsq49BfZce01Rw64KB0GTb h1f8CCNwu9unQgfycskMl7C3UAvZm2EiPR2Y19zjGHS6hqxLZAQZrukA+aBX t2AOI9rY93fdOa4DBJcXdYM3jiDWy8mZQ8d0YFzCwSrmLRHkvY4IvcGqA9wc Riz5zBdh43FCsftTHZjQ14/I1rgKD+ciIwIzdGCH5l5ROQU3sNjemhnY1wGq 1Em/7m0emLw/ouerrwsixsx9RVP8kHf3n3LGiC5YvvrTMNYrBNtuW4ZP9J/D j0fKRXMGIuAzyrZctf8cgn3kucmM7wEBq9oOdaYeCNyl24qyug8Z6lGpCSb6 YBRcym7u9QBq2vYUGgUNwJUoS0ArURJUXui0LjEawlyRfoBMhzRIj8hW+tMZ wW+mKUHGo7JA7L07ffuyMZDqam00K8lDn86Wg7uYCfxw9Jm5MqAAijnPAtns XsDxxra8R6eUQHGQrPD7nCmsBnyXS3nzCC4fOfbX08ocTq5VEqusKIN+uIRp QacFmNaXLTbeVIFPcldTv8VZginVic8pzqrQ/1ngQ7zeS7jWrnJ0cEgNCnJe MqXftoK+u2kXJcTVYSDCRNeQ8hUsEN9XmsY+hZtOzApqW6+g+ja9UIakBvBi 3y4RL1hDPm0KV+yUJphpjQXvLNjA7AyxtYGkNhTfTHZet3gDouW7yhV+OsA+ Nsg3TWMHl6QcxaUndcEq4BN87bcH4eM6I10KeuDG+v3lRJUjtH6xY2Qb0Aec NMVrvSZn8LWGEVF7Q2g8Ria06uiK9ycjF3nvGoPU+0YK53Q3qHMoxPHRvYB3 R9ruP151h6nUEZH4M2ZA4fY2SPujJ1ikfNK4V2oBdN5eD2jw3yOxI4UDt/RL eMpto9Ni7AOzoWUi7ANWQM8YUsgV7gesaQ6+8z7W8OvbSyPx9QCon7uRFqD1 Gmind4ieuwcBs3FXsI2WLchyZHglsoXAYOsJ54cB9kD6uYr9RHYo9JeUHjuy 6Ah/+4l3hFTDgf+hceqKowsUFlA4irBGgAqBvuC3K26wtK36xpghCnA2/O3J 6e5wOpTsW0zaR7ATkMyNiPcEhzuEgUp20cAg8Ye4Gv8f2Fzm+01eOg4i5b7p WXP7gsqZrVNZhAlwxIZl0KfPH3xyzDmp5hKBQ1k4QAsFgkzrE4Y7+8ng96/S audPMJDohbWqyafCz2vBxpbV+HuMLOGp5Pd02KAgOHOqKBwKpgiFrfKyQIFl j7lwJAKsxdeGJw1zwfMk2b/7Qh/Aau/8aXOmfLiqJ3zhzOAnELHtVvAgLQSj +iH56dIY6K4im8liKIb6XX3+5fU4GNfU+TVpVgqcXbKPxPD/Na4D3So+O+Vw Y0yKeSs8CYRMxhbtG6sgN3HRKDvjC9z9yXWDwqIa9tw+iottpcKOEyqgu1QL QjdDmxJsMmA/KYb1PQEOpsX8JXBc2YB74UTzirIB7Ob0d8Tf58IYg6OCj1gT /BbndPO4lg/k4yGUQtktYHDNkuv0RAGQsI+fHVNqhzRRr2GW8iKISBokXD/X BdN8hOyPi0tgRWHt/VBWN/B0tAhZ9pVBoMKjbQ29Hvh6nkrs+JlKMCLAMXqK 9IHzX67in9ZYkJXmeLW28A1uPkwhJRephmcm9VHyOQMgb4K1NX9YAxHL3OdO hQyBUrSeSb1aLcRvsNQyBY3ANSczCUPdOtixf/3vwt3voPrxbv3+DRxwEj1X Ltkcg/vM3rvOyzgYR11XcN/HQS7zS5pSRD30hsbJ8rZMwO6HjQ1p5gbgudjD 8MRjElYX0s3HzBugYf0rzxvMFBx/xVfz5UMD3DmlxnH/zxT40byHPxENcMOb o50xbBrUo/S8w4wboH8XUbFdmwHShjA+0WMNsGnJ4TVXNQOt0vUcspb1kP3E lCRCZhZwLIFLt/1wsDM7lbLTMwtCZ7rSjkrUQTu2N1JJcQ5aqH4VTATXANsM rki4Zg6oKmXun/+EBd5Y7mdJeD9PAsnXmzXKYct8Rkj4wTwUpfI+VJcogvbO pz9HTeZh/cwGnWpHLjSw8rRpeOP9dUaRUo1nCnC6+DhER+L9+r6RK6dDFNCl 9MnZR88Dwfpc0ZVNASSw4PhiJGIeRLwzNlbdPqHmS77VLe54pouQlrqTiVau jK54aM8Dj3NbqFRqEdouD4yfFpwHtpgiGZ2PFai8NdHpJeU8DNz5XqlSU42C ryhhFAbmIGCLuXM6rg7JaafM932Yg9vSO5jVpw3ISCE42OvRHHS2mRMkTTWh xE35I8dI52Bh5s6JRI5W9DtUkORW/iyQsH1n277WjrStL1wcVpuFYtV2oc8j Hag/++i3tT94f96rnljD2IX+7nB8VP0wA7/kvsQcyehC3zRSP67yzADf+f79 aOpuVGNLLezSMQ2jvGp1a0+6kZBwCDvWYBq4Fx/iej3x+qUbD1amp8DpXMGU fVQ3ahpLkP/kMAWF/pGahSHd6JkiK1ky9RRQDTXPGNh3I6oryT+fp09Ct4Sx dPrjbnRjz0CRSWwSniYl2lxjxft5d+oomtEJeBtgr3ZttQvR6jAMm9hOwHPG NMbAnC5U+3JpQPL0BMzcIySYfdGFTrgJLXn4jYNHZceZvyRdiGPwUpI48TiI uMVdD7jViWS+KCeo738HOZuT34cfdyAh+6m08P1R8PH/lUnzph2FiWQMi5CN gsRoZblHVBsiqXFpeXxmBE5F37k2UNGK6BpOjlZdx/v3zryvYpMtyOXeDR03 9iEwHFJqMltpRuut9yL8bw7CnHtBfNJeE1LypuaIwQzAk6x/ajZnmlBZNVXw a5V+KI54SHObtxFxJiUPd77G+/frvSVk+P1UfPmQSS+2D0JKnc8T+NSjYuPV ZyudvZDay/2KthKHKC5beRPN9MAS2RcF19469GRPoEidpAcMq/8ROm7Xou+K qbE+N75CJffqFxxzLcquobx9SbsbKnz9P55UqUEru2eHqj91wehvp6oTYdWo 3DHtPnF1JywdGYsezkVocyHlPcWTDqhVVCaufIhFbArZc1qv2kB+gIX+hlEl Ushb/b2f0QLYbD8zi4RyhJG//PUYYTPIKuWL1v0uRa1aUt3Vlo2Qc7xVxNG4 BN13RU/e7NRDvqjLCNFmEfq9WWsb/wEHNbyqk71hhUi47aLE7vtaCC1Vn94N zkdO5nfcK3HVcGNJ2VWpOhd/2T7+tCWKBfuspNy/d7PRfIeIvr9MBQiZkZDc Fs9Ay2XHBPjiS8GU3vSS0sdU1NkrmFTGXwxsrEdM2G59QSrrR9v6XQog3KTV xtsuET1c/eVmeCEPfr7rrbh9Jh6VssmkTpNlg+0jVV2n3Wj0dSh1OVQ9HT6/ x478lv2I2NQrrlYypYASxa15RBOJXJ69thCSSQLNBx2quZhw5Ml0JTGjKx6O 82WQ6taGoEeP4i/2dUeDMEbZMSH/HfJK3N/j3o4C06XR0tgeH8R5VMA+dTYc rqk8XfqOPNFbx66Oy60h0CLfPJsT64Yo5hcp2eUD4Q3vjgrdihP6HxYjBxg= "]}, {Automatic}][$CellContext`t], $CellContext`y[$CellContext`t] -> InterpolatingFunction[{{-80., 80.}}, { 3, 11, 1, {642}, {4}, 0, 0, 0, 0}, CompressedData[" 1:eJw12Hk0lVv8P/BwdONSlFKGzPOQY57Pm3OOYz7nPKcQRSWJUnGVoQGlZIik 5FKKDMnYgEZn06RSKiGlNOlqcEUZiurn9/3e715rr9fz+az92evz/LGf9ayt tmYzFSI6Y8YMkem5+/8//M9YSgK/+k9ZfBaQ0KGpRVZXBaT95XezTbEC0uFk ustbWUC6S8JbjVsoEls7xR3dTRGFy5ndV5gUuXJDNWg3jSJC0fAQuU4+acH5 DWWlfHJz11Sk9TY+KfSMe1VrxicxCmPeOsM8whuIulZYwyN6DUMGCzbyyEof mpGnGY+oD9JX0Ea5JNUoIHDLHi4Zjkhe1SvLJcd3LnJxyPQmbgdqDAolvcno Mabs731epLjq6ViQmBfxvhrRSxI8CWfT/CWuCp6EoXotqf2CB7F+vPaJD9eD 0JOldF5+cCerauSeu5S6k4NPlbJqV7lP96vFXKjkToYMjcYTu93IYl+Lyg+H 3Mi1JJbRdw03ElAlqJ1V70p+dK2hL3RxJXkiUed1ujnEyjDJwmo9h3T6HGx0 +e5C9Mv/2vOqxoUkjvtw49e6kE6OraKcwnQ+T/mf6nY2SRiYcZ6zl022LZ0v rWXKJhuJXqhoH4sEGzo296WzyPI8SvGaNYvwaKFb8/uZZK/SLdWeAia5Yq7V Jk8xyRfP5BifWUyiHfJW/UiTMwnY6fygI9qZ1HVe/vHvImdCMzbTkRQ6keX7 KgVaa51I9UuNREg4EVGrY1UBNSC+WXI92wQgxotWmIQuAJFy4cypPccgV5d3 XcuyZpANESEbtzQ5EsWkbwp8liO5e3jPHfpdBxJ/em7sXJ4D0btapP210570 tJt0dgTYk5Bzn2hOH+zI8OEy85ptdmRnzOq1ijQ7IuGvdHh/ti3Jte++PrrY lqirHPq6psqGREdQCn3SNuT2lblOAZutiYJkR2j3QysS4ZeTKTC1IqRMUN+e Y0nmjs7r9Ri1ICHMJ6KtPhaE1llafuaBOTm1LsbzgIs5cZ5wHd7cZEZepyrk UpZmJFHxs61FjSlRqb7WJ69tSpocs5J/HKeTjOeHSK4JnfjH5k6ZXjchuvPz rduXmZDPwXYfuh4uIfuPO6+eM2ZMNLvdejiKxoTI8PmJMCIr3P3uXAwxJBN7 gpyG0wzIkWvrLunV6RP6eAR9TaceuW+ytSL/hy4JC9+h1qGiS8RL9vz9J1uH FL1Ik2WFaxMH+UOpO7K0SA/vb5H6C5pka9rJuMEeDSJ7o3xY67c6qf5ZExao qU7crRpe57qpkRT7xQk3nFRJ2h4pm3d/LSYzM3v/YqxVIrvzqmrylyqQW1tz bCXGF5I/BfG3Yv6WJ1yT1dR7uwXksLTry6Uv5cjTj8bh1xPnEeXW+WN0jblk delU0smbMuS5x/WS1Q5zyDfPA+zdQ1JE2tv3fXGRJNHmqqVcF8wiDN4nnXfi M4kfv76VdlGMZNRmjt47LUL2KD5kaZv9Fn7u3l14QW5S6HPYYsJ5bEw4fWD5 j7pHhEsVLH2FUYNCR+sjXXkJA0J9n2/LojLeCvUGys4cNX0h/K0RUuHu2SE8 I3ThTd5rERKfiC/npK4JjY29sDnpgtDiT39V38/lQvuBdTMYvulCo//JJ/8X b//PDf8ZIPy/L9Ojx2pJqtwAxv+64T+3M5QDe1b5bU/+L05nxOT93GLfX/5f /gLj15BZ6lzaNcYX3PZbd6uFkWj5UM2o7TEjpc1eXseil8E5u3SfTPsbhseU ZNKBPf8wuJzm7ZLWnxklX+3GW+KHGUXMo3WJPd8YhTkjYY7WE4yCt14aU7mT jDyzit5Lo78Y95xE79npi2DdDVbRk5ViEOGkxERki+PYnTteM2/+AStPKc0T ExJ4/MD7h5WhFCL42Q8fBs0G7WNYxwU3GVAG6Y5JwbI4sbGqwmvnXAxW35dT ODoPtkP/Jryvk8N+E5lP5+7OR1ck3Sfh3QJonKeaPX7JI/LbX4YLFy5Ck8WR o+/oCpCKaRA966GI5Re7I3aGKKH8+8RTtwRl+MtI33W4thjSOmpX6JMqeFWo 0HXomCpsz5Q8yLBTQ0698e19z9QwSC4KE+PU4dLmfDF+oQZOdrfVRTdq4ElG bpWJtybil7MyCu5oQlV7ZMNMthZujZzwiCRa2CD0Mui104ZsxqQkp1EbjX4V H8+a6mCllu9dpRodiI3QzqTo6aKi6VzqSIkuuOmrwlaq6mHUd7Zba4EeVjOf 68WK6OOB8WlJ3VB92Cls/dTdpo9ycee2FFMDyA3PrrbKM0Bi7/MD//w0wODt 05uOBhvC//xWLueOIW4VOpuMGxvBLG2ObPlhI6io+pm/HjCCVMNJX0UHY0x4 fIhflm2M/tf0wqx+YzyKiW++Y7ME7xd8eFO5awl+1PvSMq8vQYr+27nWNBPI xudrVGib4FxAs8MbZxNQDgO+ikEm+Pg040zgNhPsjqb/LDpgAgWZLm5/iQnO VsYX6141gRtHZXRDhwlev7nOqf1ogrhd6/NHROhIOkNF3ZSjI7XL3j1Ph46D ojrqG2zpyDOW/eHgRcdJ/8lHMqvoOL2vv+JtFB1159qTGvbS0fjy0vLUPDqE kiX0FZV03LbMlFjSREf7mtjXIo/o6M5cc+nJWzr6Lntml4/RcUrzplGJtClm 6XDG61VNsVHvDrltZopHBh5pPS6msDS+L/i03BT5JlzlnxtN8dv00fvZiaZY ayGoU80xBT87xvh9pSkcBguqKm+YQt+N6Ee+MIV86bvTlmOmoIlI6EzNNsPw CqPSZh0zvLjI10iBGe6d4UQHB5rh0jGHm4wdZijLNFuglG+Gw4l6oRONZtgd pXLxSacZNq+dL3H2qxlW+vzpf0DWHGm6TW+PWZuj8ceWiKogc/S3aYxf2WeO uSe6Eu9Vm4MRmSr5/Ik5Ipj2hz9OmiN//pDyD3ULlAsS0o/7W+B89pzvOGQB 0n5i3bs7FrgvbfIkRcQSPR7EycDGEu9TebUPtlji6+1XSlGnLdF579irdROW aGz3KwlwtUJ+h9x6Xp4VdnQ/NGAPWCHwecaQjbU1nPpczxvvt4bGW1qMxlNr HP/bOfeWig3keYn1YaE22MVQljU9boP3xpc3/nhsA9K56eT+3zYo2KHxZIGh LbZqPP2j1M8WvLsZdmZ7baEf6bS5+awtaAvHirkvbdHXdKbrhaQdLoUESW60 ssNhKTnHH8F22HS+NXL/QTusjUzaGnrBDsuX2Ma5PLUDd3Bkh9aUHViVlYk0 VXvYhK1Nfsu0xxId5f0tofbQ7O9ML0q3x6JTmVmJtfaYs5qTE9RhD5rKjKOO 4/b40XsxX1nRAUP5kYVTjg5456df/HyNA76dURx8lOEA2k8p69YGB3y4cVn4 s9sB9zPWc8y+O+Dc0gXt6xUckat0w6fQzhHb30W+7FjhiKAqlXUSuxzBir4/ 6HjCEbr227dGE0cczNintPr7tF0Oryt0GchSHS0d8WUgM7wq3C6FgQMXgpck NzCQ8UvhW1s/Ay6aYb1pkgD7zg3HJerTblIt6rABWPN2iMXyp73YHaIUBjBX mrWSxGlFs/RD8qYt/5ghUQc4e7oMVd+edriIT/UBo4GnVtdMARVtJZGSCk5Y YVuWtM7KCTKny7Nbljrh+vyKosVRTojZc+ZsfJYT9Icrm7uqnPAysPqR6V0n nHOorJB674R9ShVJ70Wc4T9ZtpwoO8P4WQk938YZYpeKJaKXOaP76MnXXpHO qNxWeEnngDMSlh3LFqlwhsA8P+z5DWfozstzqn/ljKnhI4uyppzRtKlwW/Fc JhI/lXXU6zLhtL7W5I4jE2L9jQd6lzLh6xR4VnwdE5XHaZ3GMUx4n+f4xe9l YqQ17fnNHCZyX94PlC1mwuabzJsVdUy8kFgacrqJCQWfKyyzu0z4FKtrNnUy kfNvqpjbayYe2g6/6fjMhFSKX0vgBBM0w9vjciIsTD20MLonwcJjGeeFzTIs VPC8xRrlWUg86P9v1WIWfB+u6ynWYsFY5q8beYYsiPMSajPNWOjNSs9PtmXh wfCpfBWwIBRczb/MZuFs/ZP8ZR4snJIfzP/CY+FwnHhBug8L+54rF2ivYCHW wbKgeTULYSe8C1aEshAgElowvpEFr+CEgkNRLDjePFpgFMuCiU5dQetOFtRS WwuC97DwKd9tq2E6C1Lb07jcbBYMA+7pRR1lwdNOinbkOAsRil4vG0+xcGDy wMVnFSxUP39w6GftdH9X5kSoNrBgPkffeGcTC/lrWEM9t1gQaQiss2xnIVQi LjKnm4X7K3JMv/RNr6ur/uo5ML1OrPVCxRcWAk8Zvo/6wYI6M1vensbGP29G XcVns1G52z/+gTwbm9WFlUfV2DBv0XixyoCNidX7Z+tbsFF6K6q8HmwIDFbC yZONGQc5PW2+bFR/o0f5BbPhv1zpz3eb2JjVNLNkczwb9erD9pN72XBrONi4 PJeNl24mphfL2Ih60V61oJGNmZGbdbbeZqOANqe4o5uNJXk1SqYDbCjUzcsI EnUBrTV2MkPJBUN9L8IvW7rg2bjzs394Lrg557Tb/A0uqNORvuS81wWfinR1 ukpcoKPEOhJ2wwXBuUFiP9+6oFBme+RBMQ6epeX2aWhwMF/8nFejMwf8hPtX 3NdwsJ4Zw92dxUHCH2pvL13l4Mi9u9uGP3BQlRUtqSfviuuCxYWrWK54Jt9K z4t0xZfnkTfbC13xQvbR4OVmV9zhmCwoe+eK+p1Zjtl/uKHo/L/rdui74cAH r6xQLzfEqVQ3UlvcELJM6pVDjhtktPze373ghivfTn327XKb/o8aGnk37gbZ w3bfIxe542pwyu9ftu7oMmm53LrMHV9+Tm09tMUdkves6CvSpzX82sAqmvZA jb1Rozsk/g1rmX9/Wq6W668309a9uv9+YlrZY4L22R6QiPLtadSctmNu0Enb ac0fvNvP84Dr5J73Lms8sL/FZoAW7YHbqUMfWvZ6YCa/9FPiUQ+4LAwYdKzw wN4+maGpyx64WXbry+U2D9A27RiJfekBpoXpN8svHtgz9c/oNxFPtFw/Pn5u nidE0wXft2h5womSmDS28kRQ7a6tl909sUvq2xA70BOHrY3D4zZ5onLt+ndV u6brDhYHvsr0RM/V3qfzTnhiaGCBgFPriZnz+ffjhZ5Qdkrn1LR7wjziZvPr Pk+ULPsxMDLmCTnHJTK02V5I1l5rNV/LC6Oz/w7UtvdCyPj9vVYCL3T2iVa7 hnuB3Wr1ZHmSFxrqNk6G53mBUrdLPHrBC0M5EuI3HnohQ/xp6pfPXtCLKZut LOGNWwPROW5a3gj2Zy7c5uSNGW2yx4tXeuO4wyu19jhv2NbWlE0e8Ua36k4D 3XPeiD7kUbf0gTd6bG0WJg55g/FWO7FShovSdLmBLjoXkuaiPFEBF1t6hxqN ornoSn6hsvwIF3ZG91KSG7hYk7cy7lo3F6liX8LHJrjws3KqkZfm4dNGSZ0L yjzsKu44wTPmYe7TYwsHHXkolV6XncrlwZq5RFJ7FQ9tsRO7W7bwEFTTPBmY xMPI27ToyWwe9i1aOni0mIdFXOV15ud5YEqzRuOu87DpXniysIOHvNTseeLv eGjhXCx2/8bDoHgf/SCND/kb4s2dcnw47TbkKWrx4cWozD5hyofflF6HBvhY e+m03GkvPjZv0/ExDODDN/es7ZcQPhwb7FQubOFDu+umWOx2PmaPcQfs9vEx KTuxMC2TjwGjk25Pc/nodHON1z7Bx8ptj+K+lPLRX+wfd7mKj4j2t7HJ5/kY m9wY632Zj126YzELm/mYuSwh5s1tPrKSZsVUPeCj0KxX2NTBR01/7axHT/kQ +zgaXd473ce/dq93vuKjaiTJa+k7PmaM376kP8DHsklpbZHPfFT8FhzqHuLj l1j+r+qvfDy26l9aPsZH2QaTypPf+Yg7sV0kf2r6fTtu+eb85kPtj7k1GaIU Rm1X0vaJU7iz6bR/wiwKx4u/1sX+SSGyy/GPqNkU2JJpKzfIUljk2Hl+rRyF wUhVyUB5Cs2lG1b5KlDoYJygSyym0Fv/6cwfahT6Daw1Z2pSGCpKPk7ToTAh /2iBmD4FkUzlgyJGFCRp4RIzTCjIxTfs/mVK4cb+Z1vYVhSij/4KzLCjoFmm 7tXBoPDkgoudAovC3uvheqtdKVg8zpQ/7Tm9/6tz4kM8CtU/ipu6l03XyeXE EH8K9sZ7TCqCKNBc//qQvZbCvdXBxfFhFHK2CwKCN1EIOMKU8/yLwk+GZs+C OAonP9IKX++i4Hykf01V8vS+jFs6MWkUUj6WfXY6SEH/SMpZqVwKbYz127oL KOT1++ksLqEQnO72dG0VBWO6bWrlBQrfu/RtR65SuLlD8ZP1TQoH1aWOJdyn YFiu+qHmGYVWAwvLl/9M19W57ZEepfDbPPChvagABZeilDfOEcDKMSW8QEmA xs31Qn8jASyL3sopOArQ8Fg2vMd7OqZBmBckQL3FJjm/LQJYhB4Lk0+ajvPu NnVlC2Cossy7/rQAp0r7XuQIBVAwDI+I6hJAekG9pc0nAf67B8T/A04292M= "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1QFHIAASBtBur8tKkiRJ0iVJkiRJkiRJkiRJkiRJ0iVJkqwuSZIkSZIk SZIkSZIkSZIkSZIkSZIkSZJ7e8MzP+D7xvy7/j/lrf8ICAj476+A/8/fFUgQ vwkmhFDCCCeCSKKIJoZY4ogngUSSSCaFVNJIJ4NMssgmh1zyyKeAQooopoRS yiingkqqqKaGWuqop4FGmmimhVbaaKeDTrropode/tBHPwMMMsQwI4wyxjgT TDLFNDPMMsc8CyyyxDIrrLLGOhtsssU2O+yyxz4HHHLEMSeccsY5F1xyxTU3 3HLHPQ888sQzL7zyxjsffPLFNz8EKMIvAgniN8GEEEoY4UQQSRTRxBBLHPEk kEgSyaSQShrpZJBJFtnkkEse+RRQSBHFlFBKGeVUUEkV1dRQSx31NNBIE820 8LfkbbTTQSdddNNDL3/oo58BBhlimBFGGWOcCSaZYpoZZpljngUWWWKZFVZZ Y50NNtlimx122WOfAw454pgTTjnjnAsuueKaG265454HHnnimRdeeeOdDz75 4psf/h7/LwIJ4jfBhBBKGOFEEEkU0cQQSxzxJJBIEsmkkEoa6WSQSRbZ5JBL HvkUUEgRxZRQShnlVFBJFdXUUEsd9TTQSBPNtNBKG+100EkX3fTQyx/66GeA QYYYZoRRxhhngkmmmGaGWeaYZ4FFllhmhVXWWGeDTbbYZodd9tjngEOOOOaE U84454JLrrjmhlvuuOeBR5545oVX3njng0+++OaHgH/Kn0CC+E0wIYQSRjgR RBJFNDHEEkc8CSSSRDIppJJGOhlkkkU2OeSSRz4FFFJEMSWUUkY5FVRSRTU1 1FJHPQ000kQzLbTSRjsddNJFNz308oc++hlgkCGGGWGUMcaZYJIppplhljnm WWCRJZZZYZU11tlgky222WGXPfY54JAjjjnhlDPOueCSK6654ZY77nngkSee eeGVN9754JMvvvnh7+P/RSBB/CaYEEIJI5wIIokimhhiiSOeBBJJIpkUUkkj nQwyySKbHHLJI58CCimimBJKKaOcCiqpopoaaqmjngYaaaKZFlppo50OOumi mx56+UMf/QwwyBDDjDDKGONMMMkU08wwyxzzLLDIEsussMoa62ywyRbb7LDL HvsccMgRx5xwyhnnXHDJFdfccMsd9zzwyBPPvPDKG+988MkX3/wQ8C/5E8j/ ADh4RN0= "], CompressedData[" 1:eJwt13c8le//B3CzJMreOyn1yUhCOG8jRVRIyJ7JJrusbMqmbCFR9oziXByr yN7ZO1tZSfE7+f7+fD5e13pf932fc13cJvbq5oQEBAQkpAQEVrTtUgeHCPB8 HOGvjO3jOC30z/icccJUEsvH5yv+/3la9KYiZtj+v4L/WSZc9rY5prj0NjEB QR3eVIZb+U4YgWBbAkK8CQkmVdYb3TFXPkd/+p9Vu0+8csXcgJnbREeW8TWe tMEY/lEL+eeDw0PQ0WLAZGhJGv0vnzzfjLXG6hQFjP+v/+v/0qa9sP1U6X8I jiy0O3E+GMvGpq70v/UwtVtpRmF/1OkW7R15SypIJwabra3JvH1kI3G201HY WX36rz+OrGqa+scX63MtnOzHUb1cTD2NRhgNE6LfP4/y3GYu6UgMUwAX0y+8 Dw+fRsWrpWG45rmE/1cvRYfRQjam8INK3LEjjxcLUeRhTOMO31Aeeeh6d897 zPEwki+0R2Z5Y2SehbE1OrHCcOSuS4snPDFTf+5R0x/ZoaiVMwvrGmJ68/SR R141JJdhC3Uv+JIe+Tt9pE0t9knU5M2No/X1kRaU4bCNiR+Cuo58997CeiN2 6OngcvU/+2aZuhxrwrqU7m9nHeXHhInLGrDWh8floo4selmqtQ67zSMT5Xvk Z/NE1lVY9RP1ha5H9tZcGsrBbkvSqrod1R/KunSxAFNfzx4bfTS+RdFLtRYM 21y97+d/OXKvE/3Ti9nbeGH1r/5DFNqifGUE8+vryTmZIzvOSadOYMx9Iwzc jzzrX+s7gSl6+FEr+ai+V68fCI5i6ueONVcd+WGgyno/pnjGRrD9yBqjflpf MIQLWJ7+Iz/K+qD8DDOWZu77Lyf0fbHYzfwVW68S/azoXz7JmFwnOomVGSdc PZrPMAgr3b2IleUgbuT/l0fJf616+gPr7qhMFfqvng1Wr96729j8pEqa1AO8 ZabPqA3sYuef0bfU/MW7mGPzc9gv7KUgRD7+B29VL58vjrtYv70L7TT/vCEl onpjC6vVs/zHbh+/H+mIw6duFUsa1/jgON6EMhGGuM1RrNlm6fzu73/7a1oo cdCLoTaYPOv3r/1d1jL1d5sY35+Zhp/+jeeecebKZ0K4UOeFcvHrOTQcquEI PQGi0cGmqf/W79vZb0NBBSfedOzzEuGt7avaJEAD1Q0iz4EYbzoT24elNFD7 pohHlwTvz9+t9JVpwJpdvOERKd5XCEeVhqnAQ52qXusY3huCPMWhFJDa+cuE 4Th+P6ne/tonIQWZmOV3Mcf/7beew1mNHYyrfLj0pyMXPmwir8Ea3eN09f1n rovUMml/sXQSZE/78eMRTjL4jAidQmnxbDQt+PkIo8TnZ8oZUIV1TPUt/HoI HVKDC8040L0ysh7jf+tXJ2ojWOBBXD06lP++F0KmIgWvG3wInC719f/bL98v 9o9Y+dH5Oa613S0ERGmMicSCF1Ete4nunRX8/oRuDenY/Idm3ibHpszg22s6 krqqXkTk1ZcxBSN4h/V9qnA9h3hcizpN+/HGzYbUZnMhv2+h1AXd/55nAQef 80mUFFEeaf3PZAM7mV7HYDtyTdIY357wlrtaA/DCVLMtX+QoPj8nu/dwTQhU FoesLRbw3jLu0h4Sg1GHF/kj23ivDnEz2WFAKvbdqc5/z2NUdj+KSQ66BOX0 KE/hfYdBMVDlOhgdpOxJMOPfTy+SAbtwBdiqfJFVz1sHPsR3HBISFIBq1l6t 41Id+LZiRXAJ12G8Vuj61at4p67kn4qRA4UnDLKB0vj+yU3vbi9goHkuZlRW Hj++ZP3OsM1VkB59dvrnDby9myjGn54D3jsvkrgU8ab68NCCfgOblDHAaHqU n5aQ4RBERn84Qo1k8a6fzOcPA0Re58Q+JI43M69nrbgimhmOHcz5Dz//iPeC m6Uqei1cW9jDVgcyDVRKmskaKP3GlY+BJ+qgfti4m99bG3EfliyLzSPwsTFi rPymi2Qg0U6mHIGv/AObHHcDdJOt5k+iNwKZsMW4VCoj9HtFY4j2JoI6L8nh 42pGiIlGJ7v9NN7mhz+XOg0Rk83l/fMjWPBNTAuSCdVHjJ2P9yvzsEBwd5BG ueoBMmYI+cwTgAUZAbaKeA0NRChTssBsgc/N3l+bbrmFuNWSfrXcx5uF+OFg 2nnkFzQlVamLH6/SbHpJSg5Ch66vWXri+4dkJv/p1YSAYAxJ4EcsZCjXPkpu MYG7f83IsrewcOjsHH6jzQJUcHt57lII0iURe0abDbSonCjtiMbXF80artXv AOOVkfqc+PdVxu66btAZJxgSGnsmK1wH6ZXWPmvSLhBU2KDeZ1sHqrQ1mnZU bjAtfqA/X1gHQpn2KncD3eG6WHLHk+91YPxryJjvoQcEyYut5pypB+re4MX0 OQ/AqRpkeRrWw48E4Z3L2x5AIMzmPp+EzzPEuX2CPOBNE7l1aV89FGdTJNc8 d4dLeS4LESdx8MOB6aPcL1cgDj6w/CmOA/tIPQNbUhfw5MzyaTbGAedA6Z13 oY+B9NOZxysBOKhTmOENJbQHaUYnHcjAgW9MhQJhjwXkuxiGJFbg89roPppT hnAwecpzpA6ff3i3OvtWEWbk4n+14XD47/cqUefkIMZu2o99CJ8T2DJSjuco ocfnHsi2fcRBve8JsUhTHTSq3PvLuRgHRinS9+mvm6F9s4Kyd/j5njE20EKC NdpdO8YxkYofPxPbjLtii2g+iiiPJeLA0FKdv6XXDoWthi5kxeNgYvwzdcI1 B3Q10i/rcjQOhD7MezpQOKLplobe2igcqNKzEntyO6KCRh5nRbyjQsiUw646 otM1LwJ6IvHrEwhUTVZ2RH85cI9e4W3kZODMq+mIInHb5/Xw7nqxe6PQyBFJ v+gr5cKba4zc/qq1I9LVrmWai8DbiloeuTiiAFxaii3eBMHEfD1hjsit4GXU dji+/53/KhfSHZHpVMyWJ95o5sH6YbkjQo4u4zkh+PpoegWfhTxG4eb+mCR/ /Hp/eD7f13NCFr6Zffe8cXDIfPDI8LIzaqrNN+tzxz+/IMrmFDIXFDsyKL6g j6+njt6MGOeOamI7HsVgcBA5f552JsATsXdZPOtgwdfj9YXF66wvKmzdSkj+ WQ+KZRMJbcf80AVy/0XC5nqIOils2TXtj36u6VTEe9dD7pm0wdOeQeivyHLp S4F6qHsk3am7G4Iei5ZVeA3UgYdXCMey4nNk/FlIb9m1Dl5XlnbPmoWjj/kK gzlUdeD+tsj8I0Si/e+yoXJKCL77jX++bhGF0m7sPRXmxgJTtVTWkwvRSIBZ 7P6TtRpgmymbTUyORud+6V39U/kJfi1aDqeVR6Nqv1Ob074foev6otLPx9EI F/Jl0UK9Gib7L4a9GYxCrOpbUjHCVSCjTu4Y2xGJUmbP8P498wGKsXPO4+rh qHrgxPZ7gUr4niHt5HA3DP3aEPuzeL8ConTmFPyHg1DsUGvK7dRy+B7pl7FO 6o8er3Bc/nS8HDY+vT882+GFVrgFHIJflUHdZuqaGYMLWvN/eiv9ThkYZewV /1y1QLrHtjsrBcrgsMbBqeijPLKbIph2lygDeFM+V1GoD63Pk7BlDmVQPGjy Cot1hFuUDXE+A2VAlfdo+8lLT/AY0TbVty2HqJ36zKZjATA6G0Z0W7wCBjWL L8pzh8Gqi+s2GFVCF6kbk0BTFPzwDrNa7/sAjcT6LS5tceC5cnGEJrUaNITO OyT/lwhjN48nbqNP+N+FW/vH1lLBQP/DA0YFLOTbLD99FZwBg92p2h2JdfDy B/1NT/k38ObOFcpGRRzceTv67iFXDkQajEvrCTfCs7YM1SGK99BmYUrKfrUZ 2AQH5G2+5EPGMoXlMNFnCDjnE1a4XAjxoza/JNe/APYHMRenQzGI6VfVDu22 QRelsJCCYgnAt5TtAcYOcLE3Gjn4UQI2B2HfbXi7wG6Z4HaYUSkM0cue95bt BslF1RS94FIgy6atcTToAeKuP8EzOqXQmrT6Z9OlF5aUWc8pdJdAlFJ02wW/ PuC4TSZOMlMMuQ92Pox59gPdGSWzaYYiwPEs7WYaDkDCzfePC6LzwCCxcu8n 8SAwDaS4NJ3MBaypgz9n1CC8MDX4ObGXBVVCwaJ1BEOgxKeiYtKQBrg/f23i 1YdAFYMVfhEXB8W3Lt6O9BuC4lfJCdRrfvj/lcjS7vAhqLM4FKfnNUN7OpK/ Kxzx7f94jYgnRSAmqY7RtotD8JryffDT7hQU0C2pMlI9CNU1x4jzfLIRD3MP 8RLzIMSZh4YPTeaj1jP2NKaOAxAFBEjyZQniwXX3Geb0w5aUQ/i3tnJkPmZD pv+pD1T+FAgLkVchlUOOUaGCXjCPjig6d/MTOvi0KSLs1QMbiWy0d52x6KSH 1Ti3TTdER8t+r/SoQ4FXU8WEb3TBYBjTZ+/sesRZS5dCwdIBM6wDPzzLcGhk XL2SMagNkMlE3/LLBsRo72Ywq/EFnl5YH0vga0SNSpLzbgwt0KIT6UES2Iiu HuTOKYk1wSfZ51l/sxtRc0bAKTGtBuDy3//85lUj2nJQGux5Ug/6iuRyxzQa EYe9mqDRHQQL/hGrsgMNSJ6Owtaz4RNoB6Zl2LA2oF1fLg0uoyqg0ip3Dj+D Q6PqxU3MghWwpRNkFPKzDjFzB/uFNpVCWa6L10whQpJ9jaMxwcUwOx3zNk2h FokKn5Zv2cgHOwEHsYfVH9GpTYrbrSLv4IPkRKsOWxW6Jv6wTXE4G0ZzPJmZ nlUgY9dGbPFEJgQeT1aj3ytFFlyFWiflXwPFytjjK7HFKHDZ5t7c72SYu86w G1iRj0oL7W2un06AyjSSK2yFuaiQlo2auSwOiFt1nE4yZqMMOSm75v5o0Bq2 o365kYFqiwyu0nVEgLnKh95Z6zREeS9KX7QoDNSpvjcv1CYi6KwsuPosCLZ4 og5aduNQi+644mCGP2xtsN2PLY5GZwzNqi+JPoNr3AqOhZPhiFxztUVZzRti CD0UsxRCEZAtd9MOP4FAxoK5ZutARO+RxnZ/wQ1CQ1uv+Ij4oVe+6/+dfugC Mmof3roR+6B9+Gr9S84J5t/ZeYHPE1R3qE2st+EAxotT7bXFLmj0fnveDpUd cGna/bw46IgSXo0Ip69YQYD39vW/T2xRi0Lpkw/qj+BHfQlmxfkROi92RvUe /0PgdDb1oNYzQ7oHc1cJ9cwgY8S4JuPACN1LHaiO+WYCWaoz43nWeijPrUCi Uc8YMiOUNZSXNZHWM/ef9PxGoMfcP0XxWB2xebOIs5oZwHvhxDL9wNuohROa 0r7pwaifZkms/k3EKUFVVpOtCwyfG/u/npVD5OS3AjirdYDyKRlzxB1JdHD4 XUjhpA70zfO1hdqJoA7uLoGSJw/w9xM5MSIcLzLSHshWk34AMpck6TwTiNCX a8O3RJQfgEPC2df7WnTAM2Ho7p7+ALS3Xaxjrp+HNaldW5yYDkxCFaUVpQjQ D1QWtNPqwrmPjo96ya/BJ25czWVRPQj3tl7wfyMDI56n3chVDUDK406CjtAN 8C4x8CEJNoIDpt6/m5YqcM+9LaJXzgRmz5Sl/deqBh9FL/UFWJlBpFqGl+Df +yBIwj4SQm0Bl3Ojp+7u6UDoUnamnaoVZFuYzy66G0H3x4WpSQU74J/6VsZL YwbxlLNjtLjHYFBdta2eagWumUaN5yLdYFR8hfAwyxFuuH9w3lrxAoXH+j4h D91gbJyGfl/QH8SVZAV2qX3AlWXAPuZrCIw9q3kY8iYA/sz5XV3nigKul7mU h/bPQfBFDkEifTyUHay59UvEwGtzWfmymSTINF0T63nyCv7bo+dnF8gAxjOq vQSCaYBtoeGIeP8GumI9fR0EM+H1i4LZ9NFcsIsXZdgeyYY+Jora97v5MJB7 doT34TswzT4X+W6sGJbYqdh07Qvg0tfX+8rpZWBIOoupIyiBXvPoJML2SiiT FA5mjSkDtxMWh7FOH2HCW2cGZ1sJjYglfT0dC+nSLRiO2GpwlJrsul1UD4KZ Sq+oD2pAjNGTJUC/ER7c6EwkvVcH/MynNh8YtkDU37SH/85FlYUVuoxVrRCy bH6+TqwRFA3C6X+8a8ffex110zqb4K2LWaSMVRcktqZ/weH70TIM/jjO2gOR 1R9Ifo9/BuWtgz/Nc72gmVh7Wke+FdK17GdkPveDUbCXQ7FfG3BT9t/xR4MQ Y0D57kTsV6Ao/EG60TIMBfmvLyhat0OczZvbamMjIFs7o1ZL3AH7JL2pv36P AV/pvna5ZgdE569RbFJOwr2GdqoJow7glSxgfMo+BfI50p0vuTsgblvpdwj/ NFja8HEuJrXD5aFfskWCM3D5S52/XfdXOF+o1DGlNQvk03TcF5PaQJBBu3LC cQ5e8pLsxXG0gtirqAuqCvNQQ3VpkeTrZ0Cnaku0KRcgKbfB08+oBTpDjaSU vyyA0CNT2z8zTVAa/oTyo/t36FGfQGv4ff0Uydb4mHURJOfVfc/24wCXXk3k XrIIE0GLbrF360HGrPrn3rUluLw16uX6BkHz3tT9O1VLoJHx+D91XA2clGj7 zee8DGtVo1gh1irYHRLEEf9ahpwW19fxUeVwRlnh9oTFCuzomoSWapZA486r vcSmFXiXM0i7PJIPzfdcJShoV+FCqV4uUU4OqM45pO2orYLWsoGCP0kWTISo qu/6r0LQT25xts5U+Byefibg/Sqk19fIDvm/hBzimf++N68CD+sEPwV5FLjM xebJf1sFT6677rJhAZBEN5sVPrcKj9JsWHotnOFSgrn5y8VVOPxb2kDULwn2 wX+jyRdWwVfcidM2wg5F/B41dB1fhUmmspJre96INXiiWrFrFYTKE6LWuoNQ paAsZqAGbydN9htN4cjoyhZheSp+vvcdN5dJYxGPi88OvRt+vPkX99pOvUK1 CesUjEqrUDJKmqFMl4zMd+wp3+PrrR5wj5G/mI5ITu6Spw6swKJvCnpaloGs kh2wydErMMRVsNe/koUINSZHha6vwEsSPpZXt96i44xOT5tXl0Hi55+I9/25 6ISd4UF/zDLwS4yq+jnmIQtHXYy9wDJUDa/yv7lRiBII1RM/oSWgOvbGb7Ow GHn12Wo3KixBiHKhoItRKdIv10m1R4uwJajYxStdjhZ+Jyd4XlyEpK/Sbd9v VaJ3RaPEPiHfIdPqurpuVBWi5PWaGe5bABOdvNkZuk/IGvsup/rUApQMPp5q naxFlWuDPyivzINn0BnudO86RGBmk+IvNweCwLLLcg2HIr4JzDE7zsJEFGu3 WG0DEr5pUnA9YgY6g9hnXpg0ofHmIJxXwjSQ5GRevvFfC2Jd2d+6EDEFDDcL A2tZv6D32VNt80WTEFHYOD1e2YrOq8lP7AdNwAlaLVNdi6+orabBOXx+DLqU nHZaxtpRzHHSmFWhUbD8tOPYrN+JWvIhp9z8G2xYajKdd+xCUfQCy30BQ+BZ wVg3ItyNfG56BrVEDEDX6HtJpeVupKditY1b6oN3T9JMeF17kN/HaJ25a73g IP7EbnmjB/G8NnP55dsNtQwKAU33elFc9aH1eZ9OUK/YjM2I60UWF0T03m+1 wWaGD/n2214k+Du55ZLSF8jX5pzdftGLnvB33yF+0wyiU58pxxV70d2u4OLs yEY4FxM3+WC9B738+ptxJggH94ilshYf96BHV737isPrgNY92BLX1Y0aSJYo g1VrwVXDmvfq8W403LLt3V1RDUJEExfkGLqQk9YqS8a9ShBft78nSdCBzmYP YWKEy0AopGREJbYNVbQUtr4cx5+729+2ezz5girmdtTU3QrgN9tw7KRyC2pz pjfQj3sHF0Zen9KhbUJ7ffPYTbq3wJJINGo3hkNe1P/9CdvNBJfPC4n6lXUo VvWO7Qvx13CTl8jhunotyvlGdkI2Oxl63/Dra3hVo4K7+80C3q+gcoouOO93 BfKK1w1EK7HgI6SamdNdisjfjZjsTUbB+9wI9tckxYjlmldiZfwLoD8B5x+f yUMVjwKFSa6GwKH5lvDswluUG3tiViIoAKR8NM67KWYhbIGfuYyuL1zLiYwP UkpDPTvrAvK2TyFzs6ntFXEi6tCRXYs67Qb8TZE5PO/j0OeU+0UdTk5AfXJA o5YhGlm4frug4eYA1vMD+hJ3X6CN54Kju7+t4ZtftH+8TzAy941S8xizgFEf SYEP4f6oVlxZKs/eDDR2TLGEar5IkbVzNfCtEeAUFZyX0j2Qg4b4iwJNXdAY tanak3ZGC6tR3NqpmiCxFu67xeCAxHVvxFwYVoeXx1oFgmstkdngJCVbzl0g H1xtDa4yQ0/KKnM7mm7B0/zpH2xfjFDuTSKhqo4bIMrAeNpKXxfZp8dwnKGV h+vqIfFlFfcRHaUlhoZFBnQ65YMX9dRQwH8q+RftJGFR3iTT8a8yiil+YP82 Wgy4KEw2Oz/eQIddJiwcNlfgIMoNqF/JoeRme0a2QWG4TLN+KS4VgzyNb0aK WgmCfdMFkDGUQGdj33WSqlwEprPLjpaeV1AXo5tH2vY5CNxXfG+fJ4SovtU+ 2JI8C58f68npq19EVp/kIiwPeMDDKkwuL4QPxZmv61HycoOCJJ8HKuZBHdZ6 d26JcALHtlPNn3Oc6CDl1L7vazZIzzvP84SGBUWybNHl5TPDGPvOH3cdOnQt 6Tlbvj4jmFFQZjWOn0bFTEXb1JH0wEUTy6C2QoYumTW3yvDRQcf17x1VesSI kpJD6O1pWshxJFVlz/mLDZTa7cZK0YDDjW/dnSw7WILc7QRbA2p4tJnYdiP4 OzZaRUyEcYsK6rLbnx6b78K+5lq7a7FMBVyWE3wXOJoxqZOH9jevUcNK2ZV8 d7dpjMrOXnPmKDXYvsIOLfCvY67c9TZk76WBy2IqUYVndjBXR7gObzvR4ec7 ZsCKDjA0fu3q7m8YIFfU+PxVFRLwrfj7yMubGVTKrlU/ZycHT18jNz0ednhf 9/JGfTQVfAksCV0b44LbshV1xyfoYCe3qnm7/gxYpNnSpguzANXYQfq48Tmg WqBYTLHkglqHAs0OCQGoGHq7NZDHB+dyZ8vbB0VgVPGgcE9fEJz4rb7cMb8G qbf8Hm7VicJjiUg/LJKFXkqyok1ZDFTG93nkMCiCto6FUTOzAhAJKP1Id1eF eib2/dPPbkNxh9TQ+TxN0H3g8kMqXwN+vDkZZM2uDwqkv157j+pAZB/TTVNk AnyETmcy3IzhUUSULbHIIwgbLP3b8+khrEqIRf1Utof/hjvy3ZJswY+19PJF BWdoOqceWHXTCR7azj61vvUENPtvldxj9wAtwS9jK1TP4GEKdkNPxxdIPQeL an4EwlwvD8RQBcLeftDka4kXUJy3t4ZYn0MKmTF7OV8M6Hc1WHJZR4PvOoE2 peYrIGRWwNFpvYSfnJyhAr9Tobz5aaRebArQDOuHUt3KBGVRFrkN7QzgICLt D7v1FrRERy2aCbIhgOHypSauPHhoc+uzjtY7qP5AKq3RWQRy5TFZWOcC2L9U dsiSXgr3jklw8VOVALFIr4d8QwUUhtQ5aJSUwbdp4WQl42p4plT8zuJ1JcxN q/a8CKqFYFWPSI2xaniqNq5CxVUP4YeckcFmtXDGLUT8VHsD9A2K/9h6WQcf Hj1PMupsBjKqO7u/4nFwn1r9Q82FVqidH1VwyW6EN0uXv1852w4K7EMHPfea 4d70pUHfS12QVOQmQvynBbCPg0VU57phwtKS2ybuC9x/tfE7rqoX3Ex3PqbR tIG8j6ESR3Y/aKrz3f5s/RVcCva/7ucMgmi462nZ+HaI7ypRCKodBnsZ7YhL gR3wSmfN2WlqBJrRwyZekU74PpQkuX1qHH5zWQV+SegE04gQYUeuSTAg9pRQ KO0Ee+FnwpviU8DJ6JgQ590JmYflN3XuTEMBcxR/ymEHNOnNqLMbzIA0s+gI 4bUO6L41vfuf7yzcXNQzPMXYDnQ64gFD8XMQWyO3+ru0DYx1BtKJHOeBJTc3 T8asFZZoqUl4ZBfg+sqPIMffn6H10e8wT9LvcI6vZumjVws8Yb1HnFj7HRiv 0OssbDfB8xn3wWuWi6D06eUJNqtG/P2MnF6PbAmKfTi13k/iQMx7QIIveQmO CT8X2zKoB+JcKZsl7mWIuBnC2tiDYOrpaZmNdvz5ylk2nWH6E7hwB16jN1sB /HH74nFMFZy41HL94vwKhF14QLK/Wg6x/sF5nJqrgKVhrJLfKgF+FePAqQr8 eXYnqb4prRDcaXRY7h5fg6bED0tGO+/AoS/Bhl9lDbrvR71/M5MN4VGTtRRB a5Ae4iFF8CATPmgsGe+jNSjmOV2+oJ4K4TKFwifW1mBqYWxx8OIreGFLHSBE sw6aNy2FQihioKT4yisWgXW4L5z6NjnmOfguiqqdl18HTkqyNw/dAmALdfs+ VV+H/Cf9FFsnvOBs5cWeQ711SCNhUTMgdYKwH0VkTqbrMPz9O/MAkTnckQq7 ZfNwHTLS0hy07ZXAapDLzgRvo3cGVWN1SsjqQrR6Cb797tLBt9PdxuhyrYWj p/46WBgwkqZN26Kdi6pZShrrQFJYMpLn5YxYSaLilBXXQWTw145MvQd6e9os JEViHZyVEq8QL3gjo/Cg63Ln1+Fycf1uyQk/xHiV6pcQ3Tq8khQnOlkWgKYu odu3/66BOKW1F/IKRh5nrdJMZtYgashpWNQ9DHWRxWfLNeNzdQKX3YJwVG8Z r/kuew3Uw912GuKj0Fjwj3CFZ2sgtDZK1O8dg5pEVDOqtNeAp3T29GhCHDqZ y/cy/iI+D1aR+bP0EtUeGBIa7a3ClUdKqb88E9FgWXxEWP0q5LLyJRtqpaBH Ezh+F/x9hT0/ZK/aPx356oXjrDCrQG5239owKAM1d6mmpP1Ygd8bEZ43ffDn +0+vmflTVkCGdq7VsywbuROtrRBLr0D09kjc/IVcdCdEhPVO/zJ4J9ooqE68 Rz8TSGV/Gi8DUcaHny3zBSjrssJi8NQS5JPd8Nd+W4xiiCVLndWXYPTEmCZX ZClSIByG2dJFuFz+kNiyohyVtpjWYQkWYdHf6jUPzwdEe81nIlXiO3wVPKdY OlGNpNcHaZT8FuA7MYV0gE0NEj1+jK21ah7amcakRWQRei3xXzrHyByEn8pz FhCpRzwfo2qPL8xCItlUVvpPHDo2PH91nWYWBLRsvog/aUTGqcMf8i7NQPm1 U31PzzQjk7K6zs+i06BtcXfr/EYL6jjJctDAPwV6mU6JBFNfUBuPZ94NlUlo C2Bde+TehjJ0RvWf4cZBkMBfdoanHckQn6+X6xqFXAMy5drRDsRc2QSuZ0bg vHJozWO+LhSsEjrIZDoMWuz5BWXjXchwu9lWJ3IQFIINGv/GdCNTBvKRn7n9 8JMlxFNHugd17/lX65b0Ql+WgJhefw/65cb7nj2vGzY5vcm07vYiyr/0DhZX OoFiIiLyRXIvSsreVjzH+BUsdi6VxL/vRfw7/J0s+58hPHoSGx3Wi3QnGxPD 3zZDlKlIhoRKLxpnl+P+qNsIHb7dwxELPYj8HGWHLycOCtTZDwi1e9A99vr7 vmsI/NeYW0iTulES4+Ncje5PoNtFxjqW14VUW7mcD35+ADkSPkEK9k400JZk r2lQDifv3989F/4V1bZht1O7SmCNwIB6z6gV8acu3ufcKATymxxO/IyfUZZ5 QVNKwXvIiv0bp1zbhFTYeybVRt6C0+xhw1WTBhQ2//0JnXsW3B56rNtAV48C T5I9p/F9DfSkygqrjbWo4T/DZp1vyZDAeoCrz69GJw2/pBPbvwIj13Cfpo0K hItnlTmVHwuGQbJWc4mlaELpsryudxQY18vQmd0vQou0d3jfZj+HzWeBbw5k 3iPnIKXNJwLBEO06pJ+7mI0Mf9Wn5Lj4g8LYibxK6Ux0v3xbxsbMB7YkyC85 /E1BxHeCst45PgHdmjvfNigSUARf0N8ETVd4Pnu98/hOLFLhNI7qX30MnrXn +mvx37PlsvkkL5MDXON8OVaX9BytrAoJy7pZw7r9hVNSpMGo8zgd2WCgBWyf iiJzxvij3RoBxQ1xM7h6Q2pCldsXtQZhCawsjOBtqN+M02UPxLziZSHTqwPO H+sFp9udkGj8cPAHVk14HHLPLfe+PapyfaZjrK8OKm5cQiJbj5BSx9gPT3QH Pj6nmpInNEPint4mB+tKYPBttu8jrxFauybCyHDyBhwem5k0kdBB01Ff6amd 5WC6rCqIrVsDpW8qRpkIAswK6b1IylVFCUS0wl9eXoOUcCLy/vFbyHY1VtBy /CqEPohIVO9XQFkF9I+m+0XAjoT52e8xWeTDa8Srri0Mmrbnz353kEZdLi+8 22IEQM64/76OpTgaEfzr0ZtwAZIKrzhVVomgt6nPhzQMz+F/b3Ov3TolhM61 pK39rOGF4vW7kV/vXUAfYye21WJ44J7ZSnFd1Vl0gn3fxLmFC5Ymr2qHk/Kg UsmzYSWxHDBZMmQ0cJIDBW9HJUswsEFhXA/VIC8zssrJZJgVZYb+TNuew3ha 5DY6/Nh/lwEI5qb+Or88hWLZGb1kxOjBtYEwZWDgOJpuzGE9+EYL+Q/b+yXs iRDF32X6mE4aIHN/0j9I/gfrQByX13mMBr7Y3YwyKtrC8girEnaJUYP2Q/Er PYLz2JUMIXOyESrgdqOiKH/7BXvqvtpz1gkqqK+vbfiY3o453CTd/IQ/vxPG YI2u3J7FdDOnk4YsUQOvWK7dZvAG5iQjS0zPOg10lrpVTlzcxbzY09idR3TA 9Ca1zVCCAOSl5AQoxRghSdzSYSiVFCynfxFSOrOA6GnbthgmCiD/JhWcmcEB VdQe8BG/ToOrWnbef7jBs1hN3XufAaw+z/plmZwFBVYHC2sxdnB0NekQLOcH O89eGaYIHnBXuaFC2CwEr6kULP6r5YeF3Pyik+JXYaXrza/hGWFIvi2aWvBV GsY63QyINsRh8TDinHSGPKT2pqO9eRmYZVM/UUBxC4S8ZIo7dm7A/wHj7tq3 "]}, {Automatic}][$CellContext`t]}, VisualDSolve`VisualDSolve`GetPts[ Pattern[VisualDSolve`VisualDSolve`Private`ifun, Blank[InterpolatingFunction]][ Blank[]]] := DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionValuesOnGrid[VisualDSolve`VisualDSolve`Private`ifun], VisualDSolve`VisualDSolve`GetPts[ Pattern[VisualDSolve`VisualDSolve`Private`ifun, Blank[InterpolatingFunction]]] := DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionValuesOnGrid[VisualDSolve`VisualDSolve`Private`ifun], VisualDSolve`VisualDSolve`GetPts[ Pattern[VisualDSolve`VisualDSolve`Private`fcn, Blank[]][ Pattern[VisualDSolve`VisualDSolve`Private`tt, Blank[]]], { Pattern[VisualDSolve`VisualDSolve`Private`ti, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tf, Blank[]]}] := Map[Last, VisualDSolve`VisualDSolve`GetPtsFull[ VisualDSolve`VisualDSolve`Private`fcn[ VisualDSolve`VisualDSolve`Private`tt], { VisualDSolve`VisualDSolve`Private`ti, VisualDSolve`VisualDSolve`Private`tf}]], TagSet[VisualDSolve`VisualDSolve`GetPts, MessageName[VisualDSolve`VisualDSolve`GetPts, "usage"], "GetPts[ifun] takes an interpolating function ifun and returns its \ values at the interpolating points."], DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionValuesOnGrid[ Pattern[ DifferentialEquations`InterpolatingFunctionAnatomy`Private`ifun, Blank[InterpolatingFunction]]] := DifferentialEquations`InterpolatingFunctionAnatomy`Private`ifun[ "ValuesOnGrid"], TagSet[ DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionValuesOnGrid, MessageName[ DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionValuesOnGrid, "usage"], "InterpolatingFunctionValuesOnGrid[ifun] gives the function values on \ the grid of all of the interpolating points."], VisualDSolve`VisualDSolve`GetPtsFull[ Pattern[VisualDSolve`VisualDSolve`Private`ifun, Blank[InterpolatingFunction]][ Blank[]]] := Transpose[{ Map[First, DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionGrid[VisualDSolve`VisualDSolve`Private`ifun]], DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionValuesOnGrid[VisualDSolve`VisualDSolve`Private`ifun]}], VisualDSolve`VisualDSolve`GetPtsFull[ Pattern[VisualDSolve`VisualDSolve`Private`ifun, Blank[InterpolatingFunction]]] := Transpose[{ Map[First, DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionGrid[VisualDSolve`VisualDSolve`Private`ifun]], DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionValuesOnGrid[VisualDSolve`VisualDSolve`Private`ifun]}], VisualDSolve`VisualDSolve`GetPtsFull[ Pattern[VisualDSolve`VisualDSolve`Private`fcn, Blank[]][ Pattern[VisualDSolve`VisualDSolve`Private`tt, Blank[]]], { Pattern[VisualDSolve`VisualDSolve`Private`ti, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tf, Blank[]]}] := Select[ VisualDSolve`VisualDSolve`GetPtsFull[ VisualDSolve`VisualDSolve`Private`fcn[ VisualDSolve`VisualDSolve`Private`tt]], VisualDSolve`VisualDSolve`Private`ti <= Part[#, 1] <= VisualDSolve`VisualDSolve`Private`tf& ], TagSet[VisualDSolve`VisualDSolve`GetPtsFull, MessageName[VisualDSolve`VisualDSolve`GetPtsFull, "usage"], "GetPtsFull[ifun] takes an interpolating function ifun and returns \ the set of its interpolating points."], DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionGrid[ Pattern[ DifferentialEquations`InterpolatingFunctionAnatomy`Private`ifun, Blank[InterpolatingFunction]]] := DifferentialEquations`InterpolatingFunctionAnatomy`Private`ifun[ "Grid"], TagSet[ DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionGrid, MessageName[ DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionGrid, "usage"], "InterpolatingFunctionGrid[ifun] gives the grid of all of the \ interpolating points."], VisualDSolve`VisualDSolve`Private`r = {{}}, VisualDSolve`VisualDSolve`Equilibria[{$CellContext`y, (-8) Sin[$CellContext`x]}, {$CellContext`x, -10, 10}, {$CellContext`y, -10, 10}, VisualDSolve`VisualDSolve`ContourData -> Graphics[ GraphicsComplex[CompressedData[" 1:eJx13X3Qt2lZ0PFL4k2FcMFdlwUWWPCtLUQjLZKARksdpxczTWWyMMxG08Uy taLIJsYhezEmfGlTh0GRUBPC1WFud9eIkVGzZxx0MGNAxjValFGEeyV86X5+ 1/k57q7vLfvPtd89n32e3/O7z+91nNd5HedxPPn5X/N5L3jQtm3fdcO2Xb/u /zz1Xtd/+FWfee2Oz3vK8Pve+tLv+eVX3jb81deHH3jy8Ltee+Nz3/jZl/z8 W7/khmfc+aThH70+/LYnDv+n9/z0l93+TbcO/8ef/IIHP/LjnzD8by/+tPf8 9OOG//k3Xv9Atwz/g8974L7X3vjY4b9z+ze95GVv+Jjh5138bl/3pTcN/8W3 fdvFn3Dj8J+967av+JOvfszwn/g3P/jwW/7Co4c/4WL0g+/9qOFPvf7bf9Kj hh//jDvf8qJvfMTwg371+hfw4Zffx/U/7pEPG/7Zzz59gOHXf/C9F9/ohw0/ 4/rX9ZbfvWd+Dvd8+sUn/O3hn7nt9IGGn379r3fru4fffPFpvuoz3zH84hde /4LeNPykO078bHzH/uuH3/qI0+83/D37nzf8lrtPn2f44fvnHf6u/e/zHPxj +993+Of272P41+47fV/DD92/z+En7d/38BP2n8fwH9l/XsOftv88hz9j/3kP /+V9Pgz/9X2+DH/lPp+Gv2Gfb8P/Yp+Pw/9un6/D373P5+Ef2Of78PN2H4bf ufsy/BW7T8Pv2X0b/vu7j8PrWh5ve+Uv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/m L+Yv5i/mL+Yv5i/mL+bvfB/LX8xfzF/M37lvLn8xfzF/MX8xfzF/MX8xfzF/ MX8xfzF/MX8xfzF/MX/n8y5/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/Zz4u fzF/MX8xfzF/E1fLVzzFvfIX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfz F/MX8xfzd76P5S/mL+Yv5u+sc5a/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/ mL+Yv5i/83mXv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+YvzMfl7+Yv5i/mL+Y v1kHl6/E1XqKe+Uv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5u98 H8tfzF/MX8zfeS5Z/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/s7n Xf5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv7OfFz+Yv5i/mL+Yv7mubV8ZR3c uFpPca/8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8ne9h+Yv5i/mL +Tv7CMtfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8zf+bzLX8xfzF/M X8xfzF/MX8xfzF/MX8xfzF/M35mPy1/MX8xfzF/M3+wzla88t3Yd3LhaT3Gv /MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfyd72P5i/mL+Yv5O/t+y1/M X8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzN/5vMtfzF/MX8xfzF/MX8xf zF/MX8xfzF/MX8zfmY/LX8xfzF/MX8zf7AuXr+wz9bm16+DG1XqKe+Uv5i/m L+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5u98H8tfzF/MX8zf2adf/mL+Yv5i/mL+ Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/s7nXf5i/mL+Yv5i/mL+Yv5i/mL+Yv5i /mL+Yv7OfFz+Yv5i/mL+Yv7mPU75yr5w95n63Np1cONqPcW98hfzF/MX8xfz F/MX8xfzF/MX8xfzF/MX83e+j+Uv5i/mL+bvvFdb/mL+Yv5i/mL+Yv5i/mL+ Yv5i/mL+Yv5i/mL+Yv5i/s7nXf5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv7O fFz+Yv5i/mL+Yv7mvWv5ynuc7gt3n6nPrV0HN67WU9wrfzF/MX8xfzF/MX8x fzF/MX8xfzF/MX/n+1j+Yv5i/mL+znvw5S/mL+Yv5i/mL+Yv5i/mL+Yv5i/m L+Yv5i/mL+Yv5u983uUv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+bvzMflL+Yv 5i/mL+Zv8iTKV9679j1O94W7z9Tn1q6DG1frKe6Vv5i/mL+Yv5i/mL+Yv5i/ mL+Yv5i/830sfzF/MX8xfydvZfmL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL +Yv5i/k7n3f5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5O/Nx+Yv5i/mL+Yv5 m7ym8pU8ib537Xuc7gt3n6nPrV0HN67WU9wrfzF/MX8xfzF/MX8xfzF/MX8x f+f7WP5i/mL+Yv5OntnyF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfz dz7v8hfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX83fm4/IX8xfzF/MX8zd5iOUr eU3Nk+h7177H6b5w95n63Np1cONqPcW98hfzF/MX8xfzF/MX8xfzF/N3vo/l L+Yv5i/m7+SFLn8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX/n8y5/ MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/Zz4ufzF/MX8xfzF/kzdcvpKH2Lym 5kn0vWvf43RfuPtMfW7tOrhxtZ7iXvmL+Yv5i/mL+Yv5i/mL+Tvfx/IX8xfz F/N38riXv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv/N5l7+Yv5i/ mL+Yv5i/mL+Yv5i/mL+Yv5i/mL8zH5e/mL+Yv5i/mL/J8y9fyRtuHmLzmpon 0feufY/TfeHuM/W5tevgxtV6invlL+Yv5i/mL+Yv5i/m73wfy1/MX8xfzN85 d7H8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8nc+7/MX8xfzF/MX8 xfzF/MX8xfzF/MX8xfzF/J15uPzF/MX8xfzF/M25nPKVPP/mDTcPsXlNzZPo e9e+x+m+cPeZ+tzadXDjaj3FvfIX8xfzF/MX8xfzd76P5S/mL+Yv5u+ck1r+ Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+zudd/mL+Yv5i/mL+Yv5i /mL+Yv5i/mL+Yv5i/s58XP5i/mL+Yv5i/uYcXfnKuZzm+TdvuHmIzWtqnkTf u/Y9TveFu8/U59augxtX6ynulb+Yv5i/mL+Yv/N9LH8xfzF/MX/nXOPyF/MX 8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzdz7v8hfzF/MX8xfzF/MX8xfz F/MX8xfzF/MX83fm4/IX8xfzF/MX8zfnXstXztH1XE7z/Js33DzE5jU1T6Lv Xfsep/vC3Wfqc2vXwY2r9RT3yl/MX8xfzN/5Ppa/mL+Yv5i/cw55+Yv5i/mL +Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Tufd/mL+Yv5i/mL+Yv5i/mL+Yv5 i/mL+Yv5i/k783H5i/mL+Yv5i/mbc+rlK+dee46u53Ka59+84eYhNq+peRJ9 79r3ON0X7j5Tn1u7Dm5crae4V/5i/mL+zvex/MX8xfzF/J26ActfzF/MX8xf zF/MX8xfzF/MX8xfzF/MX8xfzF/MX8zf+bzLX8xfzF/MX8xfzF/MX8xfzF/M X8xfzF/M35mPy1/MX8xfzF/M39SVKF85p95zrz1H13M5zfNv3nDzEJvX1DyJ vnfte5zuC3efqc+tXQc3rtZT3Ct/MX/n+1j+Yv5i/mL+Tp2P5S/mL+Yv5i/m L+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5u983uUv5i/mL+Yv5i/mL+Yv5i/mL+Yv 5i/mL+bvzMflL+Yv5i/mL+Zv6sCUr9SV6Dn1nnvtObqey2mef/OGm4fYvKbm SfS9a9/jdF+4+0x9bu06uHG1nuJe+Tvfx/IX8xfzF/N36vIsfzF/MX8xfzF/ MX8xfzF/MX8xfzF/MX8xfzF/MX8xf+fzLn8xfzF/MX8xfzF/MX8xfzF/MX8x fzF/MX9nPi5/MX8xfzF/MX9Tt6l8pQ5M60r0nHrPvfYcXc/lNM+/ecPNQ2xe U/Mk+t6173G6L9x9pj63dh3cuFpPca/8xfzF/MX8nTpay1/MX8xfzF/MX8xf zF/MX8xfzF/MX8xfzF/MX8xfzN/5vMtfzF/MX8xfzF/MX8xfzF/MX8xfzF/M X8zfmY/LX8xfzF/MX8zf1FkrX6nb1DowrSvRc+o999pzdD2X0zz/5g03D7F5 Tc2T6HvXvsfpvnD3mfrc2nVw42o9ne8j1zm/v3jO7y+e8/uL5/z+4jm/v3jO 7y+e8/uL5/z+4jm/v3jO7y+e8/uL5/z+4jm/v3jO7y+e8/uL5/z+4jm/v3jO 7y+e8/s+7/IXz/n9xXN+f/Gc31885/cXz/n9xXN+f/Gc31885/cXz/n9xXN+ f/Gc31885/fNR+f3F8/5/cVzfn/xnN9fPOf3zY/l74eqk9i6a63j1LowrTPR c+s9B9tzdT2n07z/5hE3L7F5Ts2b6HvYvtfpPnH3nfoc23Vx42y97ZW/mL9T p3L5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5O593+Yv5i/mL+Yv5 i/mL+Yv5i/mL+Yv5i/mL+TvzcfmL+Yv5i/mL+Zs6puUrdRFbZ611m1oHpnUl ek695157jq7ncprn37zh5iE2r6l5En3v2vc43RfuPlOfW7sOblytp7hX/k5d 2eUv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+bvfN7lL+Yv5i/mL+Yv 5i/mL+Yv5i/mL+Yv5i/m78zH5S/mL+Yv5i/mb+oOl6/UMW1dxNZZa92m1oFp XYmeU++5156j67mc5vk3b7h5iM1rap5E37v2PU73hbvP1OfWroMbV+sp7pW/ mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/83mXv5i/mL+Yv5i/mL+Y v5i/mL+Yv5i/mL+YvzMfl7+Yv5i/mL+Yv6kTXr5Sd7h1TFsXsXXWWrepdWBa V6Ln1Hvutefoei6nef7NG24eYvOamifR9659j9N94e4z9bm16+DG1Xo6ddtz nfrti6d+++Kp37546rcvnvrti6d+++Kp37546rcvnvrti6d+++Kp37546rcv nvrti6d+++Kp3+7zLn/x1G9fPPXbF0/99sVTv33x1G9fPPXbF0/99sVTv33x 1G9fPPXbF0/99sVTv918VL998dRvXzz12xdP/fbFU7/9WNe/fKVOeOsOt45p 6yK2zlrrNrUOTOtK9Jx6z732HF3P5TTPv3nDzUNsXlPzJPrete9xui/cfaY+ t3Yd3LhaT3Gv/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8nc+7/MX8xfzF /MX8xfzF/MX8xfzF/MX8xfzF/J35uPzF/MX8xfzF/E0fjvKVuv6tE966w61j 2rqIrbPWuk2tA9O6Ej2n3nOvPUfXcznN82/ecPMQm9fUPIm+d+17nO4Ld5+p z61dBzeu1lPcK38xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX/n8y5/MX8xfzF/ MX8xfzF/MX8xfzF/MX8xfzF/Zz4ufzF/MX8xfzF/0zenfKUPR+v6t0546w63 jmnrIrbOWus2tQ5M60r0nHrPvfYcXc/lNM+/ecPNQ2xeU/Mk+t6173G6L9x9 pj63dh3cuFpPca/8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/J3Pu/zF/MX8xfzF /MX8xfzF/MX8xfzF/MX8xfyd+bj8xfzF/MX8xfxNn6vylb457cPRuv6tE966 w61j2rqIrbPWuk2tA9O6Ej2n3nOvPUfXcznN82/ecPMQm9fUPIm+d+17nO4L d5+pz61dBzeu1lPcK38xfzF/MX8xfzF/MX8xfzF/MX8xf+fzLn8xfzF/MX8x fzF/MX8xfzF/MX8xfzF/MX9nPi5/MX8xfzF/MX/Tl658pc9V++a0D0fr+rdO eOsOt45p6yK2zlrrNrUOTOtK9Jx6z732HF3P5TTPv3nDzUNsXlPzJPrete9x ui/cfaY+t3Yd3LhaT3Gv/MX8xfzF/MX8xfzF/MX8xfzF/J3PufzF/MX8xfzF /MX8xfzF/MX8xfzF/MX8xfyd+bj8xfzF/MX8xfxNH8nylb507XPVvjntw9G6 /q0T3rrDrWPauoits9a6Ta0D07oSPafec689R9dzOc3zb95w8xCb19Q8ib53 7Xuc7gt3n6nPrV0HN67WU9wrfzF/MX8xfzF/MX8xfzF/MX/n8y5/MX8xfzF/ MX8xfzF/MX8xfzF/MX8xfzF/Zz4ufzF/MX8xfzF/0/e1fKWPZPvStc9V++a0 D0fr+rdOeOsOt45p6yK2zlrrNrUOTOtK9Jx6z732HF3P5TTPv3nDzUNsXlPz JPrete9xui/cfaY+t3Yd3LhaT3Gv/MX8xfzF/MX8xfzF/MX8nc+7/MX8xfzF /MX8xfzF/MX8xfzF/MX8xfzF/J35uPzF/MX8xfzF/E2f5vKVvq/tI9m+dO1z 1b457cPRuv6tE966w61j2rqIrbPWuk2tA9O6Ej2n3nOvPUfXcznN82/ecPMQ m9fUPIm+d+17nO4Ld5+pz61dBzeu1lPcK38xfzF/MX8xfzF/MX/n8y5/MX8x fzF/MX8xfzF/MX8xfzF/MX8xfzF/Zz4ufzF/MX8xfzF/01e9fKVPc/u+to9k +9K1z1X75rQPR+v6t0546w63jmnrIrbOWus2tQ5M60r0nHrPvfYcXc/lNM+/ ecPNQ2xeU/Mk+t6173G6L9x9pj63dh3cuFpPca/8xfzF/MX8xfzF/J3Pu/zF /MX8xfzF/MX8xfzF/MX8xfzF/MX8xfyd+bj8xfzF/MX8xfyd+bH8DV/pq94+ ze372j6S7UvXPlftm9M+HK3r3zrhrTvcOqati9g6a63b1DowrSvRc+o999pz dD2X0zz/5g03D7F5Tc2T6HvXvsfpvnD3mfrc2nVw42o9xb3yF/MX8xfzF/N3 Pu/yF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzd+bj8hfzF/MX8xfzd+bH8jc8 eej8bV/19mlu39f2kWxfuva5at+c9uFoXf/WCW/d4dYxbV3E1llr3abWgWld iZ5T77nXnqPruZzm+TdvuHmIzWtqnkTfu/Y9TveFu8/U59augxtX6ynulb+Y v5i/mL/zeZe/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/Mx+Xv5i/mL+Yv5i/ Mz+Wv+E5N8JfzN/2VW+f5vZ9bR/J9qVrn6v2zWkfjtb1b53w1h1uHdPWRWyd tdZtah2Y1pXoOfWee+05up7LaZ5/84abh9i8puZJ9L1r3+N0X7j7TH1u7Tq4 cbWe4l75i/mL+Tufd/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/k783H5i/mL +Yv5i/k782P5G55zXvzF/MX8bV/19mlu39f2kWxfuva5at+c9uFoXf/WCW/d 4dYxbV3E1llr3abWgWldiZ5T77nXnqPruZzm+TdvuHmIzWtqnkTfu/Y9TveF u8/U59augxtX6ynulb+Yv/N5l7+Yv5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL8z H5e/mL+Yv5i/mL8zP5a/4TmXyV/MX8zfqaOw/G1f9fZpbt/X9pFsX7r2uWrf nPbhaF3/1glv3eHWMW1dxNZZa92m1oFpXYmeU++5156j67mc5vk3b7h5iM1r ap5E37v2PU73hbvP1OfWroMbV+sp7pW/83mXv5i/mL+Yv5i/mL+Yv5i/mL+Y v5i/mL+YvzMfl7+Yv5i/mL+YvzM/lr/hOUfNX8xfzN+pe7L8xfxtX/X2aW7f 1/aRbF+69rlq35z24Whd/9YJb93h1jFtXcTWWWvdptaBaV2JnlPvudeeo+u5 nOb5N2+4eYjNa2qeRN+79j1O94W7z9Tn1q6DG1frKe6Vv5i/mL+Yv5i/mL+Y v5i/mL+Yv5i/mL+YvzMfl7+Yv5i/mL+YvzM/lr/hqXsw+ZOLJ39y8eRPqlMk f3Lx5E8unvzJxe2z3r7N7QPbvpLtU9e+V+2j074crfPfuuGtQ9y6pq2T2Lpr rePUujCtM9Fz6z0H23N1PafTvP/mETcvsXlOzZvoe9i+1+k+cfed+hzbdXHj bL3tdfInF0/+5OLJn1w8+ZOLJ39y8eRPLp78ycWTP7l48icXT/7k4smfXDz5 k+aj/MnFkz+5ePInF0/+5OLJnzQ/5E8eeeqU8BfzF/N36ootfzF/MX8xf9tX vX2a2/e1fSTbl659rto3p304Wte/dcJbd7h1TFsXsXXWWrepdWBaV6Ln1Hvu tefoei6nef7NG24eYvOamifR9659j9N94e4z9bm16+DG1XqKe+Uv5i/mL+Yv 5i/mL+Yv5i/mL+Yv5u/Mx+Uv5i/mL+Yv5u/Mj+VveOoK8RfzF/N36gAufzF/ MX8xfzF/21e9fZrb97V9JNuXrn2u2jenfTha1791wlt3uHVMWxexddZat6l1 YFpXoufUe+615+h6Lqd5/s0bbh5i85qaJ9H3rn2P033h7jP1ubXr4MbVeop7 5S/mL+Yv5i/mL+Yv5i/mL+Yv5u/Mx+Uv5i/mL+Yv5u/Mj+VveOqA8RfzF/N3 6nYufzF/MX8xfzF/MX/bV719mtv3tX0k25eufa7aN6d9OFrXv3XCW3e4dUxb F7F11lq3qXVgWlei59R77rXn6Houp3n+zRtuHmLzmpon0feufY/TfeHuM/W5 tevgxtV6invlL+Yv5i/mL+Yv5i/mL+Yv5u/Mx+Uv5i/mL+Yv5u/Mj+VveOr2 8RfzF/N36uwufzF/MX8xfzF/MX8xf9tXvX2a2/e1fSTbl659rto3p304Wte/ dcJbd7h1TFsXsXXWWrepdWBaV6Ln1Hvutefoei6nef7NG24eYvOamifR9659 j9N94e4z9bm16+DG1XqKe+Uv5i/mL+Yv5i/mL+Yv5u/Mx+Uv5i/mL+Yv5u/M j+VveOps8hfzF/N36mIvfzF/MX8xfzF/MX8xfzF/21e9fZrb97V9JNuXrn2u 2jenfTha1791wlt3uHVMWxexddZat6l1YFpXoufUe+615+h6Lqd5/s0bbh5i 85qaJ9H3rn2P033h7jP1ubXr4MbVeop75S/mL+Yv5i/mL+Yv5u/Mx+Uv5i/m L+Yv5u/Mj+VveOri8hfzF/N36tgvfzF/MX8xfzF/MX8xfzF/MX/bV719mtv3 tX0k25eufa7aN6d9OFrXv3XCW3e4dUxbF7F11lq3qXVgWlei59R77rXn6Hou p3n+zRtuHmLzmpon0feufY/TfeHuM/W5tevgxtV6invlL+Yv5i/mL+Yv5u/M x+Uv5i/mL+Yv5u/Mj+VveOpY8xfzF/N3+k4sfzF/MX8xfzF/MX8xfzF/MX8x f9tXvX2a2/e1fSTbl659rto3p304Wte/dcJbd7h1TFsXsXXWWrepdWBaV6Ln 1Hvutefoei6nef7NG24eYvOamifR9659j9N94e4z9bm16+DG1XqKe+Uv5i/m L+Yv5u/Mx+Uv5i/mL+Yv5u/Mj+VveOrO8xfzF/N3+sQsfzF/MX8xfzF/MX8x fzF/MX8xfzF/21e9fZrb97V9JNuXrn2u2jenfTha1791wlt3uHVMWxexddZa t6l1YFpXoufUe+615+h6Lqd5/s0bbh5i85qaJ9H3rn2P033h7jP1ubXr4MbV eop75S/mL+Yv5u/Mx+Uv5i/mL+Yv5u/Mj+VvePpE8BfzF/N3+jotfzF/MX8x fzF/MX8xfzF/MX8xfzF/MX/bV719mtv3tX0k25eufa7aN6d9OFrXv3XCW3e4 dUxbF7F11lq3qXVgWlei59R77rXn6Houp3n+zRtuHmLzmpon0feufY/TfeHu M/W5tevgxtV6invlL+Yv5u/Mx+Uv5i/mL+Yv5u/Mj+VvePq68BfzF/N3+rAt fzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xf9tXvX2a2/e1fSTbl659rto3p304 Wte/dcJbd7h1TFsXsXXWWrepdWBaV6Ln1Hvutefoei6nef7NG24eYvOamifR 9659j9N94e4z9bm16+DG1XqKe+Uv5u/Mx+Uv5i/mL+Yv5u/Mj+VvePow8Rfz F/N3+iYufzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/21e9fZrb97V9JNuX rn2u2jenfTha1791wlt3uHVMWxexddZat6l1YFpXoufUe+615+h6Lqd5/s0b bh5i85qaJ9H3rn2P033h7jP1ubXr4MbVeop75e/Mx+Uv5i/mL+Yv5u/Mj+Vv ePqm8RfzF/N3+pwufzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX/bV719 mtv3tX0k25eufa7aN6d9OFrXv3XCW3e4dUxbF7F11lq3qXVgWlei59R77rXn 6Houp3n+zRtuHmLzmpon0feufY/TfeHuM/W5tevgxtV6invlL+Yv5i/mL+bv zI/lb3j6HPIX8xfzd/oSL38xfzF/MX8xfzF/MX8xfzF/MX8xfzF/MX8xfzF/ MX/bV719mtv3tX0k25eufa7aN6d9OFrXv3XCW3e4dUxbF7F11lq3qXVgWlei 59R77rXn6Houp3n+zRtuHmLzmpon0feufY/TfeHuM/W5tevgxtV6OvMxV/5i /mL+Yv7O/Fj+hqcvKX8xfzF/p4/48hfzF/MX8xfzF/MX8xfzF/N3vpflL+Yv 5i/mL+Yv5i/mL+Zv+6q3T3P7vraPZPvStc9V++a0D0fr+rdOeOsOt45p6yK2 zlrrNrUOTOtK9Jx6z732HF3P5TTPv3nDzUNsXlPzJPrete9xui/cfaY+t3Yd 3LhaT3Gv/MX8xfyd+bH8DU8fYf5i/mL+Yv5i/mL+Yv5i/mL+Yv5i/mL+zn1s +Yv5i/mL+Yv5i/mL+Yv5O9/H8rd91dunuX1f20eyfena56p9c9qHo3X9Wye8 dYdbx7R1EVtnrXWbWgemdSV6Tr3nXnuOrudymuffvOHmITavqXkSfe/a9zjd F+4+U59buw5uXK2nuFf+Yv7O/Fj+hqfvN38xfzF/MX8xfzF/MX8xfzF/MX8x fzF/Z92x/MX8xfzF/MX8xfzF/MX8ne9j+Yv5277q7dPcvq/tI9m+dO1z1b45 7cPRuv6tE966w61j2rqIrbPWuk2tA9O6Ej2n3nOvPUfXcznN82/ecPMQm9fU PIm+d+17nO4Ld5+pz61dBzeu1lPcK39nfix/w/f6dfzF/MX8xfzF/MX8xfzF /MX8xfzF/MX8neeE5S/mL+Yv5i/mL+Yv5i/m73wfy1/MX8zf9lVvn+b2fW0f yfala5+r9s1pH47W9W+d8NYdbh3T1kVsnbXWbWodmNaV6Dn1nnvtObqey2me f/OGm4fYvKbmSfS9a9/jdF+4+0x9bu06uHG1nuJe+Ru+13/nL+Yv5i/mL+Yv 5i/mL+Yv5i/mL+Yv5u881y9/MX8xfzF/MX8xfzF/MX/n+1j+Yv5i/mL+4vZZ b9/m9oFtX8n2qWvfq/bRaV+O1vlv3fDWIW5d09ZJbN211nFqXZjWmei59Z6D 7bm6ntNp3n/ziJuX2Dyn5k30PWzf63SfuPtOfY7turhxtt72+qzT3/8p97qu /z78zP36nIxf+f/8Ov8//lDX/j79//o5+rn9utPX85an3Ov6hP36If97r/6c /rr+9/75/XP8euP97x/iz83f//zsR0/+3Db8yaf5esmvOfny5OGPPc3vJw1/ 98nPS376yYcnDj/19Oc/Yfimkz+PH/6I0/3hccO/c/LtscO/cfL55uF3nvz8 mOFfON0vbhx+88nnjx4+O/39Hj38Q6e/zw3Drzh9/o8a/sTT533k8KNOn+8j h99/+jwPH/6l05//kOGfOP15Dxp+1en334ZvOf1+H7wH/+rp/3//8OtOv/43 hn/nNH7f8Cec7pc/P9zrN5x+/c8/G79y//+HX7L//sNv2P/84fec7q8fHP7W /fM/B79m//sNv2n/+w+/ff9+hj9w+v0+cvgx+/c7/PL9+x9+5f7zGf7h/ec3 fPf+8x3+qf3nP/zWfX4M/8o+f4bfu8+v4d87fb7HDT9in5/DN+/zd/jj9vk9 /B37/B9+4u7H8Pfu/gzfvvs1/Nrdv+Hj/ej87Li+8XN+6vBxvXN+dlzvnJ8d 1zvnZ8f1zoX/h/XO+dlxvXN+dlzvnJ8d1zvnZ8f1zvnZcb1zfnZc75yfHdc7 52fH9c752XG9c352XO9czP/Deuf87LjeOT87rnfOz47rnYvv47DeOT87rnfO z47rnfOz43rn4vs/rHfOz47rnYv732G9c3E/Oqx3zs+O653zs+N65/zsuN65 mM+H9c752XG9c352XO+cnx3XO+dnx/XO+dlxvXN+dlzvnJ8d1zvnZ8f1zsXn Pax3zs+O653zs+N65/zsuN45Pzuud87Pjuud87Pjeuf87Ljeubi/HdY752fH 9c752XG9cxGfDuud87PjeudiPh7WOxfx5bDeOT87rncu7o+H9c752XG9M34O i7fuy3j6Ja/4axwbF4+NY+Pis3FsXLw2jidPa8Vv43j6D694bhwbF9+NY+Pi vXFsXPw3jo1bDxjHxq0PjON5j7bWC8axcesH43j6La/1hHFs3PrCODZuvWEc G7f+MI6NW48Yx8atT4xj49YrxrFx6xfj2Lj1jHFs3PrGODZuvWMcG7f+MY6N Ww8ZxzM/1vpo5sfi6e+91kvGce+7XTfNOaD133s1bn3lv2Pj1lvGsXHrL+N4 9qHXesw4Nm59ZhzP/WGt1+b+sNi49ZtxbNx6zjg2bn1nHBu33jOOjVv/Gcfz /a714Hy/i41bHxrHxq0XjWPj1o/G8fRxXetJ49i49aVxbNx60zg2bv1pHBu3 HjWOjVufGsfGrVeNY+PWr8axcetZ49i49a1xbNx61zg2bv1rHBu3HjaOjXvu veNrrvOPPPvbT/H/kh99+r5uG/6W03rhycMPPd2PLvnFp/XFk4bfd3358JIn Dv/vV15fUNw6/D+vf13XHj/836//8V/3uOF7P+n6X/iW4f9y8be//+6bh7/v +sf5so8Z/o43XP8fbrr8vC+7/h8+evifntYbjxn+2tP65IbhF5y+kI8a/uHT +ucPD7/89Pf/yOF/fJruHz78/NN67KHDn3X6vv/Q8NNOP/9t+ONP3+/v3IN/ 6+THA8P3nObDbw7fdFo/v2v4eafv/5eGn/61p+vwZ5zm47Vn45ee5sc7h9/7 xdd//r8+/IMnv983/Msn3z4wfONp/v/+8FNP8/FBz8F/5rQ+fcjwXzutRx82 /LWn+fERw99ymm+PHP6+0/ryUcPvOK0nbxj+9dP68dHD//f3r//zmOGHXf86 vuTG4Y++mC2fftdNw0++PnzDzcNPu/71f9Vjh//0G69/AbcMf9b1//22xw// 1etf14ueMPz86z/Ot946/GOn+fqky+/j9Ptd8n87ze8nD3/O6fe/bfja6cd1 yV94+vOeMvy8nWf+eL7Fv7D//5f+redb/Jf2P2/Y8y7+qf3zDXv+nfm0/30u 5/t6HsY/vv/9hz0f47+7f1/Dnpfx39i/32HPz/iv7D+PYc/T+M/tP79hz9f4 T+0/72HP2/iP7vNj2PM3fuI+n4Y9j8/9cp9/w57P8UNO66PL+5Hndfzb+/we 9vyO3737MOx5fr7/3Z9hz/f4Fbtvw5738Tfvfg57/p/5svt8OT/WfgD+/N3/ YfsD+Jn7/WLYfgF+7n5/mfuX/QP8yNPn+cCw/QT8i/v9a9j+wvh2+v1+/fJ+ ufYb8Dv3++Ow/Yfxab+fDtuPwL2Ks/gHTuuTX7r8dWu/At99Wv+8a9j+BX7Z Hg+Gp8/24p/c48fw9PFd/ME/foo3w9MndPHNe3ya+830IVz8KXs8u7zf6XO2 +HP3+Dc8fZQWf/keL4enT4vvc4+vw9MHYvF37vF4eOrML/7iPX4PTx3rxX97 j/fDUyd38b4fcRlPpg7n4n+2ryeGp87f4n+9rz+Gp47Y4v+wr1eGp07R4u/f 1zfDUwdl8Y/s66HhqbOw+L/u66fhOce9+H/s663hOSe6+H/t67PhOYe2+P/s 67nhOeciHu3rv8t4JY+er/t6cXjydBe/ZF9fDk8e4OJ9/X4ZHyfP6PD3eUp+ npfsfU7jp/Wx+GrdNPVI7G+s+Gp86pOscfHV+NQr8Xy04qvxqV+yxsVX41PP ZI2Lr8anvskaF1+NT72TNS6+Gp/6J2tcfDU+9VDWuPhqfOqjrHHx1fjUS1nj 4qvxqZ/i+WjFV+NTT2WNi6/Gp77KGhdfjU+9lTUuvhqf+itrXHw1PvVYfP8r vhqf+iz2n1Z8NT71Wta4+DrzQ/2WNS6+Gp96LmtcfDU+9V083634anzqvaxx 8dX41H9Z4+Kr8akHs8bFV+NTH2aNi6/Gp17MGhdfjU/9mDUuvhrvPtLcdz3X qC+zxsVX41Nvxv7Fiq/Gp/7MGhdfjU89mjUuvhqf+jRrXHw1PvVq7C+s+Gp8 6tescfHV+NSzWePiq/Gpb7PGxVfjU+9mjYuv8/2qf7PGxVfjUw9njYuvxqc+ zhoXX41PvZw1Lr4an/o5a1x8NT71dNa4+Gp86uuscfHV+NTbWePiq/Gpv7PG xVfjU+djjYuvxqeOwBoXX43POeU1Lr4an3OQa1x8nfujc1ZrXHw1Puc41rj4 anzyxO2frvhqfPJQD/tjt8345LmtcfF17h/rfY1x8TXj927rn+cc8ie27Q2H /Ilte8Yhf2LbfuiQP7Ftn3DIn9i2VxzyJ7btUw/5E9v2iYf8iW17/CF/Ytse dcif2Lb9fv3Y4fcf8ie27V2H/Ilt2/f7bxz+2UP+xLb9xCF/Yttef8if2LZX HfInLv7+h/yJbbvlkD9x8c89/3/+xLbt+/0PGf6ZQ/7Etr3ukD+xbU8/5E9s 277f//7hNx/yJy6+79P9+b7hFx/yJ/zz0B/3b08yD9c/+7y4b/iOQ/7Etu37 /e8ffushf2LbXnLIn9i27znkT1zMn7Xfjt9yyJ/Ytvcc8ie27eGH/Ilt+9ZD /sS2fdchf2LbXnPIn9i2HzvkT2zbm9Z+N/65Q/7Etr39kD+xbb92yJ/Ytg8c 8icuvslD/sS2PeaQP3Hx/R7yJ7bt5Yf8iYv5fcifuPDjkD9x8fM85E9c+HXI n9i2TzvkT2zbMX9i2475Ett2zJe48OOQL7Ftx3yJbTvmS2zbMV9i2475Ett2 zJfYtmO+xLYd8yW27ZgvsW3HfIltO+ZLbNsxX2LbjvkS7jeXfh7zJdxPHjF8 zJdwv3jY8DFfwv3gw4aP+RLbdsyX4Pd7h4/5Evx9R3x90/DxvR0f3xH/3j18 zJfg128PH/Ml+CNfgi8PHj7mS/Dhw4eP+RLm+6OGj/kS23bMlzB/HzN8zJfY tmO+xLYd8yW27ZgvcXH/OuRLbNsxX2LbjvkS23bMl9i2Y77ExXw85Ets2zFf YtuO+RIX969DvsS2HfMl/PPU4Wclvv5o4usnJ76+JvH1YxNfvzvx9emJr09N fL0p8fUjEl+P+Ynb9huJr+9MfP2FxNc3J76eJb7+UOLrKxJfPzHx9VGJr8f8 RPH9Mr7+ROLrqxJfb0l8/dXE19clvh7zE8Xbxld5MeLpzyd+3pd4eRlf35D4 +p7E129NfH1N4uubEl/fnvj6gcTXxyS+vjzx9ZWJrz+c+Hp34utPJb6+NfH1 VxJf35v4+nuJr49IfL058fXjEl+/I/H1iYmv35v4envi62sTX5+Z+Pq7p/dX l75+feLtbybefmXi7X2Jt1+aePu6xNvvTbz99sTbf5l4+08Sb1+YePu3Em+/ MPH2cxJvn5V4+/TE26ck3t6eeHtD4u0D9x3j7dsSb9+YePvqxNtbE2/vv/sY b+9KvH1w4u2dibfX7jjG22uJt3cm3q7fb/iuxNv7E29vTbx9deLtGxNv35Z4 +0Di7Q2Jt7cn3t6WePtJibefnnj72Ym3X5B4+2WJt3ck3r4o8falibfflnj7 ysTb1yXefmni7X2Jt1+ZePubibdfn3j7zMTXF8XX1yfePhB/n5b4+8L4/P2J x++O37clPr8gvt+ZeH0W/29P/P7PuR/cmnj+itwfbkh8//e5Xzw48f6bc/94 IPH/H+V+cn/WA1+d+8vbsj74m7nfXMt64fNz/3lj1g9/Pveju7KeeGbuT6/O +uKP5X51Z9Ybz83969asPz4+97MHZz3yyDxP3J/1yW/lfnct65VfzP3vrqxf 7sn98M6sZz4n98cHZ31zU55PrmW9887cP+/M+ud5uZ9ey3rofX/g/fVyfbTn u1zeb/vPvl98ef+9lvXTZ+R+fC3rqR/I89CdWV+9NPfra1lv3Z379/r+hvf8 m9/N73+5HntZ7u93ZX32g7nfX8t67Sdz/78/67dfTjxY829438++jA+3Zn13 Y+LFnVnv3Zz48eqs/z428eSurAc/JfHljVkfPjvx5lrWi5+b+PO2rB+/KPHo /qwnvzzx6YGsL/9e4tW6/w2/OPHrhqw//1Xi2a1Zj35n4tvtWZ++KvHuzqxX vyjx77asX9+eePj9Wc++IPHxaVnfvjvx8vVZ774w8fNZf/D6d/j/AaoKrDk= "], {{{}, {}}, {{}, Tooltip[{ Thickness[0.004], Line[CompressedData[" 1:eJwV03e8zXUcx/GjSEZGZpSyIiKUkiSEkC0rK66RjBtCkiSE7OyMskdRRtka FGXPykjDXmU2qDw/fzzv+/X4Pu695/zO+f3ytkmu3zVFIpFI8qNcpkTiAk+y nAcyJxJFeFX/TnlWUNTZg/TRf/AUn1LMWXFe0xepwGc85KwEffUlKrKSks5K 8bq+TCVW8bCzR+inr/A0qynt7FHe0FepzBoec1aG/voaVVjL487K8qb+k6qs 4wln5Rig/+IZ1sd1OyvPW/pvqrEhrs9ZBQbqf6jO53EdzioxSF+nBl/E+3VW mcH6Bs/yZbwvZ1V5W/9LTb6K13dWjSH6P2qxMV7HWQ2G6v+pzab4f85qMkwn bB37dfydrs07OoWta7+hTjTD9S22nt1MPV2fEfrWaLuFBvo5RuqUtoH9loa6 EaN0qvgd+x2NdRNG69tsQ7uVpvp5xujU8bd2G810c8bq221ju50WuiXv6jTx P+0OWukXGKfT2qZ2J611G8brdPFadhdJui0TdHrbzO6mnW7PRH1HvAe7hw76 RSbpDLaF3UtH/RKTdcZ4b3YfnXRnpuhMtpXdTxfdlfd05njP9gDJ+mWm6jtt a/s93XR3pukscS32B3roV5ius9ok+yM9dS9m6GxxjfYgveMZ5X2d3bazh+gT zyIf6Bxx7fYwfeOZY6bOaTvYI/SLZ4tZ+q74TOxP9I9niNk6l+1ojzIgnhXm 6NzxWdmfGRjPBHP13baT/YXBce8zT98Tn6H9lSFxjzNf57Fd7G8Mi3uZBfre +GztMYbHPctCfZ9NtscZGfcmi3Te+MztCUbHPciHOp/tZk8yNu41PtL547uw pxgX9xSLdQHbw55mQtw7LNEF4zuyZ5gU9wgf6/ttT3uWKXEv8IkuFN+dPcfU +M5Zqgvb3vY80+O7ZZm+CUIzwo4= "]]}, 0], {}, {}}}], { AspectRatio -> 1, BaseStyle -> (FontFamily -> "Times"), Frame -> True, PlotRange -> {{-10, 10}, {-10, 10}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}}]] = {{-9.42477796076938, 0}, {-6.283185307179586, 0}, {-3.141592653589793, 0}, {0, 0}, {3.141592653589793, 0}, { 6.283185307179586, 0}, {9.42477796076938, 0}}, VisualDSolve`VisualDSolve`Equilibria[{Derivative[1][ Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]]][ Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]]] == Pattern[VisualDSolve`VisualDSolve`Private`f, Blank[]], Derivative[1][ Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]]][ Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]]] == Pattern[VisualDSolve`VisualDSolve`Private`g, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := VisualDSolve`VisualDSolve`Equilibria[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`f, VisualDSolve`VisualDSolve`Private`g}, Pattern[VisualDSolve`VisualDSolve`Private`z, Blank[]][VisualDSolve`VisualDSolve`Private`t] :> VisualDSolve`VisualDSolve`Private`z], VisualDSolve`VisualDSolve`Private`opts], VisualDSolve`VisualDSolve`Equilibria[ Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "insarg"], VisualDSolve`VisualDSolve`Equilibria, 3]; HoldForm[ VisualDSolve`VisualDSolve`Equilibria[ VisualDSolve`VisualDSolve`Private`x]], Length[{VisualDSolve`VisualDSolve`Private`x}] < 3], VisualDSolve`VisualDSolve`Equilibria[ Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonopt"], 3]; HoldForm[ VisualDSolve`VisualDSolve`Equilibria[ VisualDSolve`VisualDSolve`Private`x]], And[Length[{VisualDSolve`VisualDSolve`Private`x}] != 3, Union[ Map[Head, Drop[{VisualDSolve`VisualDSolve`Private`x}, 3]]] =!= {Rule}]], VisualDSolve`VisualDSolve`Equilibria[ Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; HoldForm[ VisualDSolve`VisualDSolve`Equilibria[ VisualDSolve`VisualDSolve`Private`x]], Or[Head[ Part[{VisualDSolve`VisualDSolve`Private`x}, 1]] =!= List, Head[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2]] =!= List, Head[ Part[{VisualDSolve`VisualDSolve`Private`x}, 3]] =!= List]], VisualDSolve`VisualDSolve`Equilibria[ Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {2, 2}]; HoldForm[ VisualDSolve`VisualDSolve`Equilibria[ VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2, 2]]]]], VisualDSolve`VisualDSolve`Equilibria[ Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {2, 3}]; HoldForm[ VisualDSolve`VisualDSolve`Equilibria[ VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2, 3]]]]], VisualDSolve`VisualDSolve`Equilibria[ Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {3, 2}]; HoldForm[ VisualDSolve`VisualDSolve`Equilibria[ VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 3, 2]]]]], VisualDSolve`VisualDSolve`Equilibria[ Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {3, 3}]; HoldForm[ VisualDSolve`VisualDSolve`Equilibria[ VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 3, 3]]]]], VisualDSolve`VisualDSolve`Equilibria[ Alternatives[{0, 0}, {0., 0.}], BlankSequence[]] := {}, VisualDSolve`VisualDSolve`Equilibria[ Pattern[VisualDSolve`VisualDSolve`Private`funcs, Blank[List]], { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := ( VisualDSolve`VisualDSolve`Equilibria[ VisualDSolve`VisualDSolve`Private`funcs, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, VisualDSolve`VisualDSolve`Private`opts] = Module[{VisualDSolve`VisualDSolve`Private`done = False, VisualDSolve`VisualDSolve`Private`conData, VisualDSolve`VisualDSolve`Private`points, VisualDSolve`VisualDSolve`Private`fail, VisualDSolve`VisualDSolve`Private`s}, { VisualDSolve`VisualDSolve`Private`conData, VisualDSolve`VisualDSolve`Private`points, VisualDSolve`VisualDSolve`Private`seedsOnly, VisualDSolve`VisualDSolve`Private`eqPrecGoal} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`ContourData, VisualDSolve`VisualDSolve`EquilibriaPlotPoints, VisualDSolve`VisualDSolve`SeedsOnly, VisualDSolve`VisualDSolve`EquilibriaPrecisionGoal}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`Equilibria]]; If[ Apply[And, Map[And[ PolynomialQ[#, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y}], FreeQ[#, Blank[Real]]]& , VisualDSolve`VisualDSolve`Private`funcs]], VisualDSolve`VisualDSolve`Private`done = VisualDSolve`VisualDSolve`Private`fail =!= ( VisualDSolve`VisualDSolve`Private`s = Check[ Solve[ Thread[VisualDSolve`VisualDSolve`Private`funcs == {0, 0}], { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y}], VisualDSolve`VisualDSolve`Private`fail]); If[ And[VisualDSolve`VisualDSolve`Private`done, FreeQ[VisualDSolve`VisualDSolve`Private`s, ToRules]], VisualDSolve`VisualDSolve`Private`eqPts = Select[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y}, VisualDSolve`VisualDSolve`Private`s], And[ NumberQ[ Part[#, 1]], NumberQ[ Part[#, 2]], VisualDSolve`VisualDSolve`Private`xmin <= N[ Part[#, 1]] <= VisualDSolve`VisualDSolve`Private`xmax, VisualDSolve`VisualDSolve`Private`ymin <= N[ Part[#, 2]] <= VisualDSolve`VisualDSolve`Private`ymax]& ]; If[VisualDSolve`VisualDSolve`Private`eqPts == {}, VisualDSolve`VisualDSolve`Private`done = False]]]; If[ Not[VisualDSolve`VisualDSolve`Private`done], VisualDSolve`VisualDSolve`Private`eqPts = VisualDSolve`VisualDSolve`FindAllRoots2D[ VisualDSolve`VisualDSolve`Private`funcs, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, PlotPoints -> VisualDSolve`VisualDSolve`Private`points, VisualDSolve`VisualDSolve`ContourData -> VisualDSolve`VisualDSolve`Private`conData, VisualDSolve`VisualDSolve`SeedsOnly -> VisualDSolve`VisualDSolve`Private`seedsOnly, SameTest -> (Norm[# - #2] < 10^(-VisualDSolve`VisualDSolve`Private`eqPrecGoal)& )]]; VisualDSolve`VisualDSolve`Private`eqPts = Chop[VisualDSolve`VisualDSolve`Private`eqPts]; VisualDSolve`VisualDSolve`Private`eqPts]), Options[VisualDSolve`VisualDSolve`Equilibria] = { VisualDSolve`VisualDSolve`ContourData -> Automatic, VisualDSolve`VisualDSolve`EquilibriaPrecisionGoal -> 5, VisualDSolve`VisualDSolve`EquilibriaPlotPoints -> 49, VisualDSolve`VisualDSolve`SeedsOnly -> False}, TagSet[VisualDSolve`VisualDSolve`Equilibria, MessageName[VisualDSolve`VisualDSolve`Equilibria, "usage"], "Equilibria[{f, g}, {x, xmin, xmax}, {y, ymin, ymax}] returns the \ list of points where the two expressions f and g are zero. The form \ Equilibria[system, {x, xmin, xmax}, {y, ymin, ymax}] also works, and finds \ the equilibrium points of the given autonomous system."], TagSet[VisualDSolve`VisualDSolve`ContourData, MessageName[VisualDSolve`VisualDSolve`ContourData, "usage"], "ContourData is an option to Equilibria that accepts contour plot \ data, thus avoiding recomputation in cases where that data has already been \ computed. It is only for internal use by NullclinePlot."], VisualDSolve`VisualDSolve`Private`seedsOnly = False, VisualDSolve`VisualDSolve`Private`eqPrecGoal = 5, TagSet[VisualDSolve`VisualDSolve`EquilibriaPlotPoints, MessageName[VisualDSolve`VisualDSolve`EquilibriaPlotPoints, "usage"], "EquilibriaPlotPoints is an option to Equilibria that sets the \ PlotPoints for the contour plot that is used to generate seeds. To catch \ pairs of nearby equilibria it may be necessary to increase this."], TagSet[VisualDSolve`VisualDSolve`SeedsOnly, MessageName[VisualDSolve`VisualDSolve`SeedsOnly, "usage"], "SeedsOnly is an option to Equilibria that returns rough values of \ the points. It is faster and often good enough for visualization. The main \ point is that this allows the nullclines to be split up into pieces at the \ equilibrium points."], TagSet[VisualDSolve`VisualDSolve`EquilibriaPrecisionGoal, MessageName[ VisualDSolve`VisualDSolve`EquilibriaPrecisionGoal, "usage"], "EquilibriaPrecisionGoal is an option to Equilibria that eliminates \ duplicates with 10^-prec."], VisualDSolve`VisualDSolve`Private`eqPts = {{0, 1.}, {0, 0}, {0.32, 0.19999999999999998`}}, VisualDSolve`VisualDSolve`FindAllRoots2D[ Pattern[VisualDSolve`VisualDSolve`Private`funcs, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`a, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`b, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`c, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`d, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{VisualDSolve`VisualDSolve`Private`fZero, VisualDSolve`VisualDSolve`Private`seeds, VisualDSolve`VisualDSolve`Private`signs, VisualDSolve`VisualDSolve`Private`fy}, VisualDSolve`VisualDSolve`Private`fy = Compile[{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y}, Evaluate[ Part[VisualDSolve`VisualDSolve`Private`funcs, 2]]]; VisualDSolve`VisualDSolve`Private`cPlot = ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`ContourData, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`FindAllRoots2D]]; If[VisualDSolve`VisualDSolve`Private`cPlot === Automatic, VisualDSolve`VisualDSolve`Private`cPlot = ContourPlot[ Part[VisualDSolve`VisualDSolve`Private`funcs, 1] == 0, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`a - ( VisualDSolve`VisualDSolve`Private`b - VisualDSolve`VisualDSolve`Private`a)/97, VisualDSolve`VisualDSolve`Private`b + ( VisualDSolve`VisualDSolve`Private`b - VisualDSolve`VisualDSolve`Private`a)/103}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`c - ( VisualDSolve`VisualDSolve`Private`d - VisualDSolve`VisualDSolve`Private`c)/98, VisualDSolve`VisualDSolve`Private`d + ( VisualDSolve`VisualDSolve`Private`d - VisualDSolve`VisualDSolve`Private`c)/102}, Evaluate[ FilterRules[{VisualDSolve`VisualDSolve`Private`opts}, Options[ContourPlot]]]]]; VisualDSolve`VisualDSolve`Private`fZero = Cases[ Normal[VisualDSolve`VisualDSolve`Private`cPlot], Line[ Pattern[VisualDSolve`VisualDSolve`Private`z, Blank[]]] :> VisualDSolve`VisualDSolve`Private`z, Infinity]; VisualDSolve`VisualDSolve`Private`seeds = Flatten[ Map[(VisualDSolve`VisualDSolve`Private`signs = Sign[ Apply[VisualDSolve`VisualDSolve`Private`fy, #, {1}]]; Part[#, 1 + Flatten[ Position[ Rest[ VisualDSolve`VisualDSolve`Private`signs RotateRight[VisualDSolve`VisualDSolve`Private`signs]], Alternatives[-1, 0]]]])& , VisualDSolve`VisualDSolve`Private`fZero], 1]; If[ Or[ ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`SeedsOnly, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`FindAllRoots2D]], VisualDSolve`VisualDSolve`Private`seeds == {}], VisualDSolve`VisualDSolve`Private`seeds, Select[ Union[ Map[ ReplaceAll[{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y}, FindRoot[{ Part[VisualDSolve`VisualDSolve`Private`funcs, 1], Part[VisualDSolve`VisualDSolve`Private`funcs, 2]}, { VisualDSolve`VisualDSolve`Private`x, Part[#, 1]}, {VisualDSolve`VisualDSolve`Private`y, Part[#, 2]}, Evaluate[ FilterRules[{VisualDSolve`VisualDSolve`Private`opts}, Options[FindRoot]]]]]& , VisualDSolve`VisualDSolve`Private`seeds], SameTest -> ReplaceAll[ ReplaceAll[SameTest, {VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`FindAllRoots2D]]], And[ VisualDSolve`VisualDSolve`Private`a <= Part[#, 1] <= VisualDSolve`VisualDSolve`Private`b, VisualDSolve`VisualDSolve`Private`c <= Part[#, 2] <= VisualDSolve`VisualDSolve`Private`d]& ]]], Options[VisualDSolve`VisualDSolve`FindAllRoots2D] = { VisualDSolve`VisualDSolve`ContourData -> Automatic, PlotPoints -> Automatic, MaxRecursion -> Automatic, VisualDSolve`VisualDSolve`SeedsOnly -> False, SameTest -> Automatic}, TagSet[VisualDSolve`VisualDSolve`FindAllRoots2D, MessageName[VisualDSolve`VisualDSolve`FindAllRoots2D, "usage"], "FindAllRoots2D[{f, g}, {x, xmin, xmax}, {y, ymin, ymax}] finds all \ places where f and g are simultaneously zero in the given rectangle. No \ attempt is made to find tangential roots."], VisualDSolve`VisualDSolve`Private`cPlot = Graphics[ GraphicsComplex[CompressedData[" 1:eJxd23m8zXX+wPGrRalM+LWoKEtli3ZUt/mc1JiaNktNCo1l+JGKX8VQWRpk KSKaUAyTvRQycbm/vrRxrhKSxC9kyQjZ10q/W32fn3mcuX/g+Tgc3/t+eX/d e873W7lN5ybtTsjLyzt2Yl7ezz/339F43oX91yVNin8s/mXSYO5LRzLVV0fn 9f2yftuly6OfGnv9vtO++ih6Z8d+W8c1nBddZvGr14TRz0ZXr9+y/N3jZwce fdKU0zeX+iD6wkcuem7c+8uiV357+8kz3l0VfdZFp344+IK10X9s+kG/Dt03 RDv+p89vXTCl7OR4/Oz42fGz42fHz46fHT87fnb87PjZ8fPHN2eqvPbQpuhd LS88odx5W6N/0/2Hr/ss3hZ9+YtrF+3u+m10ozfmTXjw4l3R//PR3575ZOXu aPOZ+d3O4mf+azAfNh82HzYfNh82HzYfNh82HzYfNh82HzYfNh82HzYfNh++ rcv8K8Zl9kY/0HPa+M9f3hfdafCoMqV3749++uUBfW5peDB6yMRue54aeyh6 3Kx2rd4+cDj6rXfvWf7t7UejFy79+RM6Fq3PquH3/eudcm/FPqwP68P6sD6s D+vD+rA+rA/rw/qwPqwP68P6sD6sD+vD+rA+rA/rw/qwPrxizVUz7z/2ffSm rZUrDW/8Y/T+fWWGLZl6PDrv148M63t8/+gKj68sjH1ZX9aX9WV9WV/Wl/Vl fVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6s76Az+7X5 sPSHsS/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+ rC/ry/qyvrFX2pf1/a9LFtRtPHtp7Mv6sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sb+yV9mV976rYo/+jtVbEvqwv68v6 sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6xl5p X477O3Vk5zk9V/17f1PH/U0d9zd13N/UcX9Tx/1NHfc3ddzf1HF/U8f9TR33 N3Xc39Rxf1PH/U0d9zd13N/UcX9Tx/1NHfc3ddzf1HF/U8f9TR33N3Xc39Rx f1PH/U0d9zd13F+97G9qfX95mk+/iH1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1Z X9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6s79j//fmJ18W+rC/ry/qy vqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/rGXmlf 1rfNrdtqP/vE+tiX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf 1pf1ZX1ZX9aX9WV9Wd/YK+3L+o7sWOKM9ps3xr6sL+vL+rK+rC/ry/qyvqwv 68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+sZeaV/W91CdM0sMen5T 7Mv6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sb+yV9mV9mx2ocOj1a7fEvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sL+vL+rK+rC/ry/qyvqwv68v6xl5pX9Z3fkHNHcvWb419WV/Wl/VlfVlf 1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/WNvdK+rG+F 3vU37h2wLfZlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9 WV/Wl/VlfVlf1jf2Svuyvr1uafj5WVduj31ZX9aX9WV9WV/Wl/VlfVlf1pf1 ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6s78ZS9xTVW/tt7Mv6 sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6s b+yV9mV9G3zaOnmg787Yl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1 ZX1ZX9aX9WV9WV/Wl/VlfVnf2Cvty/pO/Pnlysu+i31ZX9aX9WV9WV/Wl/Vl fVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6sb8lfDnx3 7Mv6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sb+yV9mV957zwu+KN3hP7sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL +rK+rC/ry/qyvqwv68v6sr6sL+sbe6V9Wd92j3182/4Re2Nf1pf1ZX1ZX9aX 9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1jr7Qv63vO vT8Pbl/sy/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+ rC/ry/qyvqxv7JX2ZX0X11v723Nu3B/7sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+sbe6V9Wd/uv1zPfCD2ZX1ZX9aX 9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9Y39kr7 sr41ftx29XXf/Lsv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+ rC/ry/qyvqwv68v6sr6xV9qX9V274dE3i+YfjH1ZX9aX9WV9WV/Wl/VlfVlf 1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6s7wvvHaze4oVD sS/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/r y/qyvrFX2pcn9rrowJ9nfh3vtzKvPr1bv9b80rnxfqW8tU2TqQPfjvcrnVN6 04qCBTPj/UqnXrrs4cvzZsT7lT7dfGz1nc2nxfuVxpw19bPxTScnD9VfPGdA qT3x/iXz29N3WOUqvSYk5tdt7YDRLzUck5jfoi739/qs8MXE/K6qfmX+yDsG JvH6taUNrtzwYI/E/MZPb37y2CNNEvMb9vdaF0xs1ynOb0ntvW2H39orbCjf vmu7Kt/H+3XMs9HgTh1PnDMoznNl/+Wb3v/ri3GeO7YcKljxxstxnq2emVe1 fIdXw7Rtt1W9dc6mMHnD4F2nbH0nKdOyoE/N334T1lTtOvKfk2YnFXpeP+7l odvD6a93aVCt5FtJuQtvnNK3YGfIX3zBroHXTE+WPfeH7WOKdodT7m08Y3Ob ycmJDb6veG3f4u/rDp24ccf28cmoR9YdGlt+f3it13OVJ101Kpnw1tUj35t4 IKz6XdGChXnDkjp/KNNmWI3ifydd1xcM3PxMUvPlFquemHo4tGp1x0krO7RP 7l4+pUW/KkdDq8Zt1t6/8M+hY8vMwRGjjoXlr/S4ddSTPcOpvS9d/sNZP4Rm 3We2++SmwWFl7d71a434MbTuNaZ26xojwowqne6cV/qnULnapbUOTxjl88+L 9xP+8tElP96fl37E+9F+fbww936aLoW59190KfzP+y3q9TtYeFM2G89H16V2 /vG48w87/9RP7fzjzzv/ePzXv79/4X9er+/3Ox95fucjjzsfeT7nI7ZfbL88 n/1i+3V9avvlcfvl+ewT2ye2T2yf6qa2Tx63T/4+++TztU9+v/1h+8P2J3fe eZlcN8rPvd67UX7u9cHNCnOvJ80U5l5/mMnPvV6tUWHu9U2N8nOvh8nk514/ 0Sw/9/32TH7u+7ONCnPfz2uUn/v+T7PC3PcLMvm5ry83K8x9PTKTn/v6VaPC 3Nc7Mvm53x9nCnO/n8rk5379ncnP/Xotk5/7/3sm3/l/45RqncuvejrMWDu2 ccsn/pn0efLs6p02dw9Xlv203j8mjk+Wn3He8epjeoSVFY/OaHd4RGi14KQq a3b0Dne8fm+3F/rPDo3+NOnM9V2GhFk1d43818MLQ/+7Oq48occXSZe/v/Fs nbJF4ck1r1Q7rfTKpNvClzpuqVoUzlj20xNbLssmj3VoMfq9m4vCx+cObvjJ mYXJ8ecXzbji2aLQbOh9R5rcMTT5v9OmbDmp/dJw/nWdPq90wbuhzweD269+ ZUnofM+775eaVhSO1u3xm8nVis8H7a/YXLB2ZTi1oFfzdQ9kw9LmH39Y6s41 If/oM1s7dc2GO8p9VuLUuV+FJV9e3OPN/tnQYX3n61oP/ToMObPi9KnDsuG0 uZkOJTJbQsn1n3QePiobdrStW+vLPd+Es9+5eNagcdmwYdPc2jUnbA83La18 4TWvZcPU87+4sULjneGbWnc13T85G5ov2L95Sd7u8O3CKcNLTs+GpjcUja+0 Zk/o1bPwtlFvZEO94Q9PWHL5vjDxhsUnffRmNpQeUjC/1YD94dUPH98/cWY2 ZC5/qdzO9QfC+rIL3rxldjbMr9PilEfqHgpDNx3dN/PtbCj64LSHtg45HF79 qszCfXOK93lFrUl/3HokbCt75/ll38mG35f/2xeL8o+FI7dvGVp2bjZMXHb1 tmojvw9X1S8x/Eixr5/VbeigHT+Evjs6FWbnZUP5TtXab2twPOy75pKSAwuy oWuYvvOmMT+FT+Z03Hjt/Gz4bb8bdkyf0zv5rtwrP9U4uDSUOa/e8rcffTS5 7/pK0+Z0Ld7HOavfLLW4TXJl3a/aPrR6VZi58PGTz/3x/uS6Jf1rrr18Tegw 6Ob1H+U3Tc6+pUbvu55dF2YerpIpUXRncu/h2cduWbc+7Hn4L9WOr/x9svmS rV/POvfrcMVXhSO7D7g5GTjytbN7L9oUWvV8cfCsJplk8mNDK1XutCVUqtPj wZfm3ZAUNWo7a9JZ34SNYcFDQ76sl/xwaOyfzn53W8gkx2Z3S65Jbj86dVnX /94eWt14pPCD+lclQyv2X1VUZkfxfI9PnV/liuTJf0yrfO78nWFhwwmHC5Zc ltSpXHdSi7bfhYUtS+99dXWNZEjpYe3uKlm8f5/NXji6abXkWLPTm+xcuyf0 mbj/+YKalyRNb9rZe+Bbe0Om/+zhH91eNZmzqG+o2m9fyEzLti89vXLy09vJ p4XN9odMdniZp2+olIy4u3+be2sfCH3+Umpr3p6KyeFXVly0q8TB0KdCm/UX z74gqfRUier9Vh8M/w/OzUdM "], {{{}, {}}, {{}, Tooltip[{ Thickness[0.004], Line[{903, 963, 904, 964, 905, 965, 906, 966, 907, 967, 908, 915, 973, 917, 974, 918, 975, 919, 976, 920, 977, 921, 978, 922, 979, 923, 980, 924, 981, 925, 982, 926, 983, 927, 984, 928, 985, 929, 986, 930, 987, 931, 988, 932, 989, 933, 990, 934, 991, 935, 992, 936, 993, 937, 994, 938, 995, 939}], Line[{910, 968, 909, 969, 911, 970, 912, 971, 913, 972, 914, 916, 996, 940, 997, 941, 998, 942, 999, 943, 1000, 944, 1001, 945, 1002, 946, 1003, 947, 1004, 948, 1005, 949, 1006, 950, 1007, 951, 1008, 952, 1009, 953, 1010, 954, 1011, 955, 1012, 956, 1013, 957, 1014, 958, 1015, 959, 1016, 960, 1017, 961, 1018, 962}]}, 0], {}, {}}}], { AspectRatio -> 1, BaseStyle -> (FontFamily -> "Helvetica"), Frame -> True, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}}], VisualDSolve`VisualDSolve`ColorParametricPlot[ Pattern[VisualDSolve`VisualDSolve`Private`f, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`a, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`b, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := ( VisualDSolve`VisualDSolve`Private`goal = ReplaceAll[ ReplaceAll[ PerformanceGoal, {VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`ColorParametricPlot]]; If[ Or[ VisualDSolve`VisualDSolve`Private`goal === "Speed", VisualDSolve`VisualDSolve`Private`goal === VisualDSolve`VisualDSolve`Speed], VisualDSolve`VisualDSolve`Private`ColorParametricPlotSpeed[ VisualDSolve`VisualDSolve`Private`f, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b}, VisualDSolve`VisualDSolve`Private`opts], VisualDSolve`VisualDSolve`Private`ColorParametricPlotQuality[ VisualDSolve`VisualDSolve`Private`f, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b}, VisualDSolve`VisualDSolve`Private`opts]]), Options[VisualDSolve`VisualDSolve`ColorParametricPlot] = { VisualDSolve`VisualDSolve`GrayShading -> False, VisualDSolve`VisualDSolve`Speed -> False, PlotStyle -> {}, PerformanceGoal -> "Quality", AlignmentPoint -> Center, AspectRatio -> Automatic, Axes -> True, AxesLabel -> None, AxesOrigin -> Automatic, AxesStyle -> {}, Background -> None, BaselinePosition -> Automatic, BaseStyle -> { Thickness[0.004], FontFamily -> "Helvetica"}, BoundaryStyle -> Automatic, ColorFunction -> Automatic, ColorFunctionScaling -> True, ColorOutput -> Automatic, ContentSelectable -> Automatic, CoordinatesToolOptions -> Automatic, DisplayFunction :> $DisplayFunction, Epilog -> {}, Evaluated -> Automatic, EvaluationMonitor -> None, Exclusions -> Automatic, ExclusionsStyle -> None, FormatType :> TraditionalForm, Frame -> Automatic, FrameLabel -> None, FrameStyle -> {}, FrameTicks -> Automatic, FrameTicksStyle -> 10, GridLines -> None, GridLinesStyle -> {}, ImageMargins -> 0., ImagePadding -> All, ImageSize -> Automatic, ImageSizeRaw -> Automatic, LabelStyle -> 12, MaxRecursion -> Automatic, Mesh -> Automatic, MeshFunctions -> Automatic, MeshShading -> None, MeshStyle -> Automatic, Method -> Automatic, PerformanceGoal :> $PerformanceGoal, PlotLabel -> None, PlotPoints -> Automatic, PlotRange -> Automatic, PlotRangeClipping -> True, PlotRangePadding -> Automatic, PlotRegion -> Automatic, PlotStyle -> Automatic, PreserveImageOptions -> Automatic, Prolog -> {}, RegionFunction -> (True& ), RotateLabel -> True, Ticks -> Automatic, TicksStyle -> 10, WorkingPrecision -> MachinePrecision}, TagSet[VisualDSolve`VisualDSolve`ColorParametricPlot, MessageName[VisualDSolve`VisualDSolve`ColorParametricPlot, "usage"], "ColorParametricPlot[{fx, fy}, {t, tmin, tmax}, (opts)] shows a \ two-dimensional parametric curve whose color changes continuously as a \ function of t. The Speed option allows the coloring to vary with the speed of \ motion instead."], TagSet[VisualDSolve`VisualDSolve`Speed, MessageName[VisualDSolve`VisualDSolve`Speed, "usage"], "Speed is an option to ColorParametricPlot that, when True, causes \ the coloring to run from blue (slowest) to red (fastest) corresponding to the \ speed of the particle. If GrayShading and Speed are both True, then the \ shading goes from black (slowest) to light gray (fastest)."], VisualDSolve`VisualDSolve`Private`ColorParametricPlotSpeed[ Pattern[VisualDSolve`VisualDSolve`Private`f, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`a, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`b, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{VisualDSolve`VisualDSolve`Private`gr, VisualDSolve`VisualDSolve`Private`sp, VisualDSolve`VisualDSolve`Private`speed, VisualDSolve`VisualDSolve`Private`plotdata, VisualDSolve`VisualDSolve`Private`speedMin, VisualDSolve`VisualDSolve`Private`speedMax, VisualDSolve`VisualDSolve`Private`scaledSpeed}, { VisualDSolve`VisualDSolve`Private`gr, VisualDSolve`VisualDSolve`Private`sp} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`GrayShading, VisualDSolve`VisualDSolve`Speed}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`ColorParametricPlot]]; VisualDSolve`VisualDSolve`Private`options = FilterRules[{VisualDSolve`VisualDSolve`Private`opts}, Options[ParametricPlot]]; If[ Not[VisualDSolve`VisualDSolve`Private`sp], ParametricPlot[ VisualDSolve`VisualDSolve`Private`f, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b}, ColorFunction -> If[VisualDSolve`VisualDSolve`Private`gr, GrayLevel[ 0.8 Sin[(Pi #3)/2]]& , Hue[0.6 (1 - #3)]& ], Evaluate[VisualDSolve`VisualDSolve`Private`options]], VisualDSolve`VisualDSolve`Private`speed[ Pattern[VisualDSolve`VisualDSolve`Private`tt, Blank[]]] := Evaluate[ Norm[ ReplaceAll[ D[ VisualDSolve`VisualDSolve`Private`f, VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`t -> VisualDSolve`VisualDSolve`Private`tt]]]; VisualDSolve`VisualDSolve`Private`plotdata = Part[ Reap[ Plot[ VisualDSolve`VisualDSolve`Private`speed[ VisualDSolve`VisualDSolve`Private`tt], { VisualDSolve`VisualDSolve`Private`tt, VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b}, PlotRange -> All, EvaluationMonitor :> Sow[ VisualDSolve`VisualDSolve`Private`speed[ VisualDSolve`VisualDSolve`Private`tt]]]], 2, 1]; { VisualDSolve`VisualDSolve`Private`speedMin, VisualDSolve`VisualDSolve`Private`speedMax} = { Min[VisualDSolve`VisualDSolve`Private`plotdata], Max[VisualDSolve`VisualDSolve`Private`plotdata]}; VisualDSolve`VisualDSolve`Private`scaledSpeed[ Pattern[VisualDSolve`VisualDSolve`Private`tt, Blank[]]] := ( VisualDSolve`VisualDSolve`Private`speed[ VisualDSolve`VisualDSolve`Private`tt] - VisualDSolve`VisualDSolve`Private`speedMin)/( VisualDSolve`VisualDSolve`Private`speedMax - VisualDSolve`VisualDSolve`Private`speedMin); ParametricPlot[ VisualDSolve`VisualDSolve`Private`f, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b}, ColorFunctionScaling -> False, ColorFunction -> If[VisualDSolve`VisualDSolve`Private`gr, Function[{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`tt}, GrayLevel[ 0.8 Sin[(Pi VisualDSolve`VisualDSolve`Private`scaledSpeed[ VisualDSolve`VisualDSolve`Private`tt])/2]]], Function[{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`tt}, Hue[ 0.5 + 0.5 VisualDSolve`VisualDSolve`Private`scaledSpeed[ VisualDSolve`VisualDSolve`Private`tt]]]], Evaluate[VisualDSolve`VisualDSolve`Private`options]]]], TagSet[VisualDSolve`VisualDSolve`GrayShading, MessageName[VisualDSolve`VisualDSolve`GrayShading, "usage"], "GrayShading is an option to ColorParametricPlot that, when set to \ True, causes the colors to be replaced by shades of gray."], VisualDSolve`VisualDSolve`Private`ColorParametricPlotQuality[ Pattern[VisualDSolve`VisualDSolve`Private`f, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`a, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`b, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{VisualDSolve`VisualDSolve`Private`gr, VisualDSolve`VisualDSolve`Private`styles, VisualDSolve`VisualDSolve`Private`sp, VisualDSolve`VisualDSolve`Private`g, VisualDSolve`VisualDSolve`Private`plotdata, VisualDSolve`VisualDSolve`Private`parplotdata, VisualDSolve`VisualDSolve`Private`speedMin, VisualDSolve`VisualDSolve`Private`speedMax, VisualDSolve`VisualDSolve`Private`c1, VisualDSolve`VisualDSolve`Private`c2, VisualDSolve`VisualDSolve`Private`func1, VisualDSolve`VisualDSolve`Private`func2, VisualDSolve`VisualDSolve`Private`aa, VisualDSolve`VisualDSolve`Private`bb, VisualDSolve`VisualDSolve`Private`sFunc, VisualDSolve`VisualDSolve`Private`d}, { VisualDSolve`VisualDSolve`Private`gr, VisualDSolve`VisualDSolve`Private`styles, VisualDSolve`VisualDSolve`Private`sp} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`GrayShading, PlotStyle, VisualDSolve`VisualDSolve`Speed}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`ColorParametricPlot]]; VisualDSolve`VisualDSolve`Private`axes = ReplaceAll[ ReplaceAll[Axes, {VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`ColorParametricPlot]]; VisualDSolve`VisualDSolve`Private`options = Join[{ VisualDSolve`VisualDSolve`Private`filterOptions[ ParametricPlot, VisualDSolve`VisualDSolve`Private`opts]}, { Compiled -> False}]; VisualDSolve`VisualDSolve`Private`options1 = { VisualDSolve`VisualDSolve`Private`filterOptions[ Graphics, VisualDSolve`VisualDSolve`Private`opts]}; If[VisualDSolve`VisualDSolve`Private`sp, VisualDSolve`VisualDSolve`Private`speed[ Pattern[VisualDSolve`VisualDSolve`Private`tt, Blank[]]] := Evaluate[ Norm[ ReplaceAll[ D[ VisualDSolve`VisualDSolve`Private`f, VisualDSolve`VisualDSolve`Private`t], VisualDSolve`VisualDSolve`Private`t -> VisualDSolve`VisualDSolve`Private`tt]]]; VisualDSolve`VisualDSolve`Private`plotdata = Part[ Reap[ Plot[ VisualDSolve`VisualDSolve`Private`speed[ VisualDSolve`VisualDSolve`Private`tt], { VisualDSolve`VisualDSolve`Private`tt, VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b}, PlotRange -> All, EvaluationMonitor :> Sow[ VisualDSolve`VisualDSolve`Private`speed[ VisualDSolve`VisualDSolve`Private`tt]]]], 2, 1]; { VisualDSolve`VisualDSolve`Private`speedMin, VisualDSolve`VisualDSolve`Private`speedMax} = { Min[VisualDSolve`VisualDSolve`Private`plotdata], Max[VisualDSolve`VisualDSolve`Private`plotdata]}]; VisualDSolve`VisualDSolve`Private`g[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`s, Blank[]], NumericQ]] := ReplaceAll[ VisualDSolve`VisualDSolve`Private`f, VisualDSolve`VisualDSolve`Private`t -> VisualDSolve`VisualDSolve`Private`s]; VisualDSolve`VisualDSolve`Private`parplotdata = Part[ Reap[ ParametricPlot[ VisualDSolve`VisualDSolve`Private`g[ VisualDSolve`VisualDSolve`Private`tt], { VisualDSolve`VisualDSolve`Private`tt, VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b}, Evaluate[VisualDSolve`VisualDSolve`Private`options], EvaluationMonitor :> Sow[{VisualDSolve`VisualDSolve`Private`tt, VisualDSolve`VisualDSolve`Private`g[ VisualDSolve`VisualDSolve`Private`tt]}]]], 2, 1]; VisualDSolve`VisualDSolve`Private`data = Partition[ Sort[VisualDSolve`VisualDSolve`Private`parplotdata], 2, 1]; { VisualDSolve`VisualDSolve`Private`c1, VisualDSolve`VisualDSolve`Private`c2, VisualDSolve`VisualDSolve`Private`func1, VisualDSolve`VisualDSolve`Private`func2, VisualDSolve`VisualDSolve`Private`aa, VisualDSolve`VisualDSolve`Private`bb, VisualDSolve`VisualDSolve`Private`sFunc, VisualDSolve`VisualDSolve`Private`d} = Which[ And[VisualDSolve`VisualDSolve`Private`gr, Not[VisualDSolve`VisualDSolve`Private`sp]], { 0.8, N[Pi]/2, GrayLevel[ Min[ Max[#, 0], 1]]& , Sin, VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b, Identity, 0}, And[ Not[VisualDSolve`VisualDSolve`Private`gr], Not[VisualDSolve`VisualDSolve`Private`sp]], { 0.6, 1, Hue, 1 - #& , VisualDSolve`VisualDSolve`Private`a, VisualDSolve`VisualDSolve`Private`b, Identity, 0}, And[ Not[VisualDSolve`VisualDSolve`Private`gr], VisualDSolve`VisualDSolve`Private`sp], { 0.5, 1, Hue, Identity, VisualDSolve`VisualDSolve`Private`speedMin, VisualDSolve`VisualDSolve`Private`speedMax, VisualDSolve`VisualDSolve`Private`speed, 0.5}, And[ VisualDSolve`VisualDSolve`Private`gr, VisualDSolve`VisualDSolve`Private`sp], {0.8, N[Pi/2], GrayLevel[ Min[ Max[#, 0], 1]]& , Sin, VisualDSolve`VisualDSolve`Private`speedMin, VisualDSolve`VisualDSolve`Private`speedMax, VisualDSolve`VisualDSolve`Private`speed, 0}]; Show[ Graphics[{ Apply[Sequence, Flatten[{VisualDSolve`VisualDSolve`Private`styles}]], ReplaceAll[VisualDSolve`VisualDSolve`Private`data, {{ Pattern[VisualDSolve`VisualDSolve`Private`s, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`pt, Blank[List]]}, Pattern[VisualDSolve`VisualDSolve`Private`next, Blank[]]} :> { VisualDSolve`VisualDSolve`Private`func1[ VisualDSolve`VisualDSolve`Private`d + VisualDSolve`VisualDSolve`Private`c1 VisualDSolve`VisualDSolve`Private`func2[ N[(VisualDSolve`VisualDSolve`Private`c2 ( VisualDSolve`VisualDSolve`Private`sFunc[ VisualDSolve`VisualDSolve`Private`s] - VisualDSolve`VisualDSolve`Private`aa))/( VisualDSolve`VisualDSolve`Private`bb - VisualDSolve`VisualDSolve`Private`aa)]]], Line[{VisualDSolve`VisualDSolve`Private`pt, Part[VisualDSolve`VisualDSolve`Private`next, 2]}]}]}], Evaluate[VisualDSolve`VisualDSolve`Private`options1], Axes -> VisualDSolve`VisualDSolve`Private`axes]], VisualDSolve`VisualDSolve`Private`c1 = {60508443, $CellContext`y}, VisualDSolve`VisualDSolve`Private`c2 = { 60508443, $CellContext`y}, $DisplayFunction = Identity, VisualDSolve`VisualDSolve`ProjectionPlot3D[{ Pattern[VisualDSolve`VisualDSolve`Private`f, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`g, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`ymin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := ({ VisualDSolve`VisualDSolve`Private`minorth, VisualDSolve`VisualDSolve`Private`th, VisualDSolve`VisualDSolve`Private`pp, VisualDSolve`VisualDSolve`Private`pres, VisualDSolve`VisualDSolve`Private`colQ} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`MinorThickness, VisualDSolve`VisualDSolve`MainThickness, PlotPoints, VisualDSolve`VisualDSolve`PlaneResolution - 2, VisualDSolve`VisualDSolve`Color}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`ProjectionPlot3D]]; VisualDSolve`VisualDSolve`Private`colors = If[VisualDSolve`VisualDSolve`Private`colQ, { RGBColor[0, 1, 1], RGBColor[0.5, 1, 0.83], RGBColor[0.2, 0.36, 1], RGBColor[1, 0, 0], RGBColor[1, 0, 1], RGBColor[1, 1, 0]}, { GrayLevel[1], GrayLevel[1], GrayLevel[1], GrayLevel[0.5], GrayLevel[0.5], GrayLevel[0.5]}]; Show[ ParametricPlot3D[{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`tmin}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, PlotStyle -> Part[VisualDSolve`VisualDSolve`Private`colors, 1], Mesh -> VisualDSolve`VisualDSolve`Private`pres], ParametricPlot3D[{ VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`t}, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, PlotStyle -> Part[VisualDSolve`VisualDSolve`Private`colors, 2], Mesh -> VisualDSolve`VisualDSolve`Private`pres], ParametricPlot3D[{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`ymax, VisualDSolve`VisualDSolve`Private`t}, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, PlotStyle -> Part[VisualDSolve`VisualDSolve`Private`colors, 3], Mesh -> VisualDSolve`VisualDSolve`Private`pres], ParametricPlot3D[{ VisualDSolve`VisualDSolve`Private`f, VisualDSolve`VisualDSolve`Private`g, VisualDSolve`VisualDSolve`Private`t}, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, PlotPoints -> VisualDSolve`VisualDSolve`Private`pp, PlotStyle -> Thickness[VisualDSolve`VisualDSolve`Private`th]], ParametricPlot3D[{ VisualDSolve`VisualDSolve`Private`f, VisualDSolve`VisualDSolve`Private`g, VisualDSolve`VisualDSolve`Private`tmin}, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, PlotPoints -> VisualDSolve`VisualDSolve`Private`pp, PlotStyle -> { Thickness[VisualDSolve`VisualDSolve`Private`minorth], Part[VisualDSolve`VisualDSolve`Private`colors, 4]}], ParametricPlot3D[{ VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`g, VisualDSolve`VisualDSolve`Private`t}, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, PlotPoints -> VisualDSolve`VisualDSolve`Private`pp, PlotStyle -> { Thickness[VisualDSolve`VisualDSolve`Private`minorth], Part[VisualDSolve`VisualDSolve`Private`colors, 5]}], ParametricPlot3D[{ VisualDSolve`VisualDSolve`Private`f, VisualDSolve`VisualDSolve`Private`ymax, VisualDSolve`VisualDSolve`Private`t}, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, PlotPoints -> VisualDSolve`VisualDSolve`Private`pp, PlotStyle -> { Thickness[VisualDSolve`VisualDSolve`Private`minorth], Part[VisualDSolve`VisualDSolve`Private`colors, 6]}], Evaluate[ Apply[Sequence, FilterRules[{VisualDSolve`VisualDSolve`Private`opts}, Options[Graphics3D]]]], Boxed -> False, AxesLabel -> {None, None, VisualDSolve`VisualDSolve`Private`t}, PlotRange -> {{ VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, { VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}}]), Options[VisualDSolve`VisualDSolve`ProjectionPlot3D] = { VisualDSolve`VisualDSolve`MainThickness -> 0.008, VisualDSolve`VisualDSolve`MinorThickness -> 0.001, PlotPoints -> Automatic, VisualDSolve`VisualDSolve`PlaneResolution -> 7, VisualDSolve`VisualDSolve`Color -> True}, TagSet[VisualDSolve`VisualDSolve`ProjectionPlot3D, MessageName[VisualDSolve`VisualDSolve`ProjectionPlot3D, "usage"], "ProjectionPlot3D[{f, g}, {t, tmin, tmax}, {xmin, xmax}, {ymin, \ ymax}] generates the parametrized space curve {f(t), g(t), t} together with \ its three planar projections."], TagSet[VisualDSolve`VisualDSolve`MinorThickness, MessageName[VisualDSolve`VisualDSolve`MinorThickness, "usage"], "MinorThickness is an option to ProjectionPlot3D that sets the \ thickness for the projected curves, as a percentage of image width."], TagSet[VisualDSolve`VisualDSolve`MainThickness, MessageName[VisualDSolve`VisualDSolve`MainThickness, "usage"], "MainThickness is an option to ProjectionPlot3D that sets the \ thickness, as a percentage of image width, of the main spacecurve."], TagSet[VisualDSolve`VisualDSolve`PlaneResolution, MessageName[VisualDSolve`VisualDSolve`PlaneResolution, "usage"], "PlaneResolution is an option to ProjectionPlot3D that sets the grid \ of the three projection planes."], TagSet[VisualDSolve`VisualDSolve`Color, MessageName[VisualDSolve`VisualDSolve`Color, "usage"], "Color is an option to ProjectionPlot3D that, when False, causes a \ black and white image to appear."], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.125 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(0.125 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVde2h7EERU1sMYkNJWDHEntf9oJIUCPWRGNFY8OCGo29a1TAIFGj xkosiGLDdhQVFRFpigJKE6Q3Abu8vDHON/cdO+8NniM3791xX/464xtzz332 b+291ppzNYsx0weOL25iYjK2lInJf/4uWfCuifnKKMO3V5cbvu7orXpcmnbP e3CYcPnil56vsvUXHmr+faXjpw8K+ycWezQy/qQa3vtR1OWufmrk1N0WZsEB wthLHn0RMXB8oNhh7EPMykye2SNM7DB26wufOnZweCB2GHux6XUmlHR8JHYY e9rmqieSOsaJHcY+eHLtL25fTxA7jN3QvZ73MbskscPYG9Rs0nRLRLKwW0FL r3mj01T8jtbLJk6NMDx2/vXDpmM9lK2h/4C8BUHClD+8f+3Iji3aXxDGv0yD XeezRp0Tfxh/GH+Y9wW3PLr2YOmPXFXTV6kP1w66IZzetETaj+eDlW0Vj07n F4cIY/eLr5DicOee2GHs7j+ZP60VEyl2GPuUPtaJydkxYoex7367I2fo0nix w9jLROyd0alMovBs70NZFm5PhR+vPT7NtEaqqu1d4eb23X5i533B2Lke/z5j z2ak7kuX9wdTH3gf1AeY8oW5nvLmen35Uz9g6gPM9095wNj5/rHD2Pn+scPY +f6xw9j5/rHD2Pn+Yb5/yhfGTn24tPHB7IFn/VXQhCnlR7RKVgs3Tf5h2Kgf DZ9ZpC9rMPiAcGtnl4t17U6pEntdWgdUvKgyjxTcOV48Xey0P3BM1BHfs04G Ycqb5+F7hyn/7SXfuLmvD1Nzv9xS/1bFCGHb4nvqulpGC2+OHOJ6dFus6DnR 0TDlbuMs4bd3OzT+OiVDfbFh24Nu8x8arL0ODbaeMUO5HQ1ttOHbe8L5QWUW 3+sbIuwVu3Jfp3EBwtRn2MmywCa4pZ+wY2Bg/PUyJ4X5P/Rzfxh/GH+Y7xem vlBer/o5BhmeBqltYTlDp0XfkvKIq7/94NFtD4VPR3nudz7yWMqX+sr9YO7n XTvevqTjE+FxP47f7HwkUb6PFWFZdnfmp6jKA56Yxoz/Te2p+v2HVr0zpDx5 XuobTHnC1D+Y/9O337QHfG9tu8zaqC5pzPeLPux8b7wPnv9a7SfD9wdck+tp TykPmOeZtqrQoU1mkOjxX21IX2yb2Jnnh3lfMN/LtKxIt7kml5XrnQ69e5UP k/Ziy65KF3LNwqV9qOHYcPnbNuHSHjTPj/Aa7REm9f9+r+qqRqNQqe/rpvtX a3f3ltTn39JKn3156rh876m5eSfe1btncP2o39y6v///0O8CTnyec0v4Utzg wk1WPsIT64besWl+WMEfl9wyYWqjG8JNbl0+MPlpmKo73/mYp02EGvdy6urE zuFqzDe7ruxyjVamp79eHhwYpupUtZ4e6xWrrPpMjZhSLUA1SbFdM+d8snpw eGDD3JQTam5QgbW9X4bq5rnx633rPZRHQoB60T9LLbyy6uq8LhGdy694cCJz 8jrhyMFpo2fd/FU4PMolaOmWM8JdnI94ft3oovCWQeMSQjOuCwfsdgru4ntT 7Rv7rEGLycHK/PXpp18evin2ndGG6SdKBwu3X95rwqRpIerIKpMFu2qHqkMz u36VPESzz950Z+qCaveEK7T+alzzJfeVzReLjiyeEKZq77Pt8mhXuNj7dIv6 rod1pPCT5G/HvHaJEjbPT570YecY4Ud32jSLHxAr/HLQ6xZp9eKFex/sfMw/ Ml455H76/ErPMHXqZetjhrw4sY9tXNznrvcT4eNLejY5PDZRmZY4uTupXYja btXH7Ze8J+rEnKv2rT4IUZt65mxo0ixRrr9jatb8ZLunwtWH2x7dlK5xm9jy xz38UoRXthhkPXtOqtSfbb0X/HzTOVk1u5TTamaZO9K/c/2vvp80+6FfunBW ueGHh75LV6nFvii/PO2SKuVRct439bT+fuaa8yp1aYa63uPraSXHnJf+v+WW BSXn10y8RP/O/aT/MbK+P+d7xk7/brXxy77pPUOkv6d/Nb07vaST8x25nvoL U39h6i9M/YX1/fcBL7cJ8/do74v2r5JFZadHMXelPcROfYdp/+pWebVLfe73 h/Zw19ZdJUa1T1OGBQVq1s8H/6B/SHr6vpi4Q8IeFVyO3C7lo+q+/uScw9FA tfHmoquW1a4ox66fWK3aHqRaLXs5sXpiksotleF7pl+QGuNz1aWi2VO18fwJ m1oeV1THTg+HTVmbpibkbrZd0cfVoP8/+n+Y9p94mvaSeBomfobRB5vWD5vt 3SNU2u/I5KF9a88PVXZxhUElHELUmyrN3zQIC1V9rnye0HZmqLrk3dLL50CY xMte3RL8NkaEqYGjzT+9EH9flXzXyLZ8h3CJl0e7dl/kqMLVyOsfT29xMkrd L+9rd7VYuMTLrk7nlllGhanCL/fXKbssVrVNijp191WoxMuurvV7GS6Hqk6h uSeuPIlX4R/2nT5t+O/t+XfvtlZclqBah7TvUdfaX/q7DeMtb5YodV1lFHdq Un9Bqnzv4dteTuwfnql6drj367y9nuroHgefGm6ZYt/8eIXTgNVZwvQHlC/9 k125C6mTEh4amt1Y38cweHfnj8vN969eXmPnxserjn8eLuzdOK+Tz+17wrwf 7lfpS2uXNz4hYn9glzLFKyZYeGZstyVZm24Jp8bevLm+7W1h+kuY9839j1i2 m25udlXsrS196i4bfUU483avbQ3GnBCODxzYaIzPKeHIXvMGBJ94KN/jmpAL o04pjXeuTX4+ZnmIsO3HjU37VNDY3+N4x7SDfsI1vNoPO3XlinClM939X2ef 1PpbYzwADz9bbdCWRhek/h35sXQ1kxcXhXlfxHfUj/yMsaFzD14VnmQ6M257 YYCK/2LkicLKwRIPVqtwv9esa0Hq+MoanjdPXlMr3GLePLofpD6oOcOs2r1r yr7rsZ7Hm4WouT3svvmuRKD8H/WF++8atDjI7LbW3pU57Z/p7hIq11NfsO8b 2T+x/3OtPXzsGJ4+am+EOtFlj8upYb/HOQOv9DGZHC7+1Ceu/778iIRPzB4K n6wen1r/VLQamPLY5YJFuPJ4dMDxWKeHKnpfB5fyzcLV5+VsTdebRMr9qH/4 2/k5xsVUeyzc8+ncvHkJscr0cEJ6TsNwZXrFfdy1vo/ViotRhR7Vw9XZHY9/ PPhBjNyP+oq/S/vz079y19rvY5cXzfp6SoK6Ft3v9G9DwlTorMGOZe/GiT/x NNe/ruyX2baW1r5X3bYyt2t+ojL3UdPb1wuR+Huh/WbTn78MVl2mftpraXai 3E/ff47PuDm1pqfWHyyftcGp7qJkrT80th/Y7/rfTS/2hdZfZ9i6ZZcplaas Ktt+ljEtUJUx3Wk3Kuyp2rlm45yJFW6pmUtqDUmokaK+cl7Q8NNfb6inbx4Z In5JkfvT/3K/drvvf5fkm6b1J3W3Tc/alKE6Onrvq7pdiz+Jn+GSDl3dh0YE CBNPS30z9v/Sfxjjedixas3lbXr6i534A/4+Z2aPb0bdkXySeP7S/l4jEvyS 1M3eFXa27e+nvNP6j9k0KE3Zvju1rW2La5I/7O57J7bmwJ+k/Tizvn27udWW CA+fmv/687Kh6u19n30F2QmqW9W0nJwBIapnkmuw2c5AFVDScs79JzskH51p HlQ6qf1v6mGDMnPT12ZKPtkzLKVZ6oCzBsoHpjxg2hMY/5u1AuM/a7RZ/GH8 Yfzh1GejUp223pPyqXs8q3uM/yPhL84Y7Oq+jhe++9Pq19GVngpPnf2lp1vD NOGygz4dbNMtS/ieR9YSk6M5wlZrBkVEnX0mPGvumcZnruUL+02ovsI1+Llw RYfFkVOjXwqP7pnQrG/ya+FjLXuvtsp7K1xoefhRYWGhMPqI59AHow9GH4w+ GH0w+iR+NOqD0QejD0YfjD4YfTD6YPQRj6IPRh+MPhh9MPpg9MHog9EHow9G H4w+GH0w+mD0EV+jD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9MPpg9JEvoA9G H4w+GH0w+mD0weiD0QejD0YfjD4YfTD6YPSR/6APRh+MPhh9MPpg9MHog9EH ow9GH4w+GH0w+mD0kc+hD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9MPpg9JF/ og9GH4w+GH0w+mD0weiD0QejD0YfjD4YfTD69PNF5NPohdELoxdGL4xeGL0w emH0wuiF0QujF0YvjF4YvTB6GR9Ar4wfGPXC6IXRC6MXRi+MXhi9MHph9MLo hdELoxdGL0z8SP6LfhkfNeqH0S/zBUb9MPph9MPoh9EPox9GP4x+GP0w+mH0 w+iH0X/yK4v7tdtli34Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9G /6Qr+6q4/ZAj+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj95k3q D/7AL1f0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPrDth3eMtc0 T/TD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+teUahqeYpMv+mH0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9nWefqDxyU4Hoh9EPox9G P4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YeYXGB+EGW+C9esvZH7FOF/yUdmE /GFR2cLX5k5oFVgrV3jek5TZncc9E24yYOpJb8884YSL2c8+z8gX1j8f+Tqs n38hXuP56N+5H+09TPsH0x7A1A+Y74XxoWqvku8mZyepNaH1ttY/9lDKD+Z5 42+MeGGTFSt2GPuSA5b7i5VKFDuM3Xxl2oCz5ilih7FfGOvzblrrDLHD2Bv/ evFepYPZYoexL9xsYZ15IlfsMPbAxSuX3bqUJ3YYe7XpKQ/2BRRo48tGxj75 m/5Nl9x/IXYY+9n+x1eOiH8ldhh76U5VoltnvhE7jH2I9fzmlV69EzuMnffB +DX1GWb9w54dqxqamITK9Yxfcz2MnfFp7DB2xpuxw9gZP8YO8zyvfL6p6Gqp zf8xXkv7BLNegfFIvn/GE2nfYNZjfPhsyYbSwVkyX9Ymasck75FHZPwPZjx1 Ru3o5hZdfIQ3zlk61bzdHgPzRVwPM37I/A92GDv/D1O/WH9BebC+Ai7n/ONv T9aEC/fqHRVSK0ZbD0U+w/1YrwTr2zPiYdaLsF4Fpr2j/Iauemvrvj5Txpt5 ft4v7SfvF+Z59etnWC/D/3F/+hu+74gr6zNKnI+S8qH/wb7O8OPetvlxYqc/ wl5/52D7rHJJYqd/wu6/sObb/VapYqe/wj5uROJvIztmip3+C3uxXxwOmzXM ETv9GXb7DeeKJbZ6Jnb6N+y7F5gPvdw1X+z0d9gzJy/z2t7/udjp/7B3Hp5U cu6wl2KnP8S+oa/NiIHjX4ud/hF7dFuv442d3oqd/hJ7o/qVSpv9UCh23jf9 UbuEq136742Q7xU745XY+X6xM96HnfVZ2Bkvw856LeyMN2GnPmBnvAY73x92 6gPfK8z3Sv2hflEfaI9g2iPqD/70l9hZD8j/03/zfFzP/9GfU1/wZ75JPz/y P11/9b+93qqH4WE5q+thMv+0ZOGkCS55UcIxO96MKqwYL/zDgmvlTjdIEq4+ fIPvlK6pwr5tv5pgOSxTmy8uu9Fsatsc4Vevckb16fFM2CZ18GlL+3xhj4e+ 5QpHPBdOvllzbOTEl8Ktzy71PTXrtfCqg4nlXRa/Fb7v3nfClPWFf9n6L+YL Q89FWfi/9DbAgV2WbQq/fsCgX69FfWW9h359ln79lX59VFHrn4pav1TU+qQL zqVHlhmrrU/Sr89AX8fWlT7d65UtHB/jE16hdI5w9p6fHKo809jdts3Hy21z hQ+Ur+q+us0zYVvfc4PyN2s8fOGOey8X5Amb1O3sNvGexhVSalWZcjlf+LTr ldCHVQuEic9h+j/ndX06xP3DfCr1l/dR1Pop/Xon/fqmz73uuvv9F+uXHHct uGDTPk3aA328H7vC87PgH7T1g8T/sr7OGP/DxP8w8X9uX/PqZgO1+quf/33f 9U+0f5QP+QFMPgAT/8PE+zDxPUw8DxO/w8TrMPE5TDwOE3/DxNv/X9ZX6efr a8/o8PGFTR7qblTmqnJ22noqiZ+N389Hq6K7L1x1SnjnV8W2Bg/dbvj/vt5q c/2kG4ZJEVKf4n/51Tcy+h/4T65fCkycY9H45xi536ajHmZWprHCy0OWder/ JEG48YbRpyNrPhG28LZJLfHmqfDtyfXHuvweB8GGjZW2nqucLjypb3b5Pv01 9mqd8evZKtnCJT8e+c3i5hq/qzPghZtFrvDAEpdPDu+ssV2VU3bTG+cJ78m1 LNvaRuMdJavut2lXIJwdt/rbig4apz9b+LpOzxfCXULSzqR/q3H7hNgBxQa8 Et54+cuPbk7VeF1oD8/okW+EHx/zGbd3vsYPrni+O+P4Tuv/d316ftFKjZf4 Rv62f5oWH+jXexW1fquo9Vj69VVFrZd63/VMpVOtLn/1ga8KTrbakFSQLvnZ 84YLbrlPSv/Deh3qP+Nh1PdVDXJPRozX2D09rHW0fY5cz3iZ9P/uc/L6HtL6 J9thQ5ztfsqV6xlPk3ig+MsWFzI1fxP/yFOXHz6T6xlvk/hg+sJZTVpofLr5 N/nNzfPlesbjsI+MLjyxe67Gk3fFtdw/pkDyX2k/jPmDfA+lvGY7L9XiW/JZ uFW8+VOnB3HC5LNw2OUkt/q/vzeYfBZ22uXVJaaUFg+Tz8p6sUXOGT/V0uJj 8lnYoUmt/geqa/Ey+Sx8oObyvUvrafEz+SxcUO7py5EttHiafFbWs72xsW+r tPiafBbekuZ1oHI/Ld4mn5X2L7LS20wHLf4mn4WbBzgPChijxePksxL/69az 6dej2V+xvBw5/K5cr1+fpl//xvuPXWz/fFI5bf6M/Iv4GOZ7gHn/MO8b5v3C vE+Y9wfzvmDeD8z7gCl/mPKGKV+Y8oTJL/R69evlYPTC6IXRC6MXRi+MXhi9 MHph9MLohdELoxdGL8z7Zv8E8QHxPvk3TP4Nk3/L+LfRn3wAfxh/GH8Yf/J3 /GH8Yfxh2a9nzPfxh/GH8YfxZ3wAfxh/GH8Yf8YT8Ifxh/GH8Wf8AX8Yfxh/ GH/yK/xh/GH8YfwZ78Afxh/GH8affA5/GH8Yfxh/GV8x+sP4w/jD+JMv4g/j D+MP408+iT+MP8z15JtcD2Mn/yS/JZ+Q/dLG/Uyy/9HIst9at38W5nr9fnPi FfIH4hGeHyZfIf7g+WGen3iD/+P5eR7aE56X9gQ7zPNQPvw/5cN4vH7/aM7A 3teTZ+TKftMDhoCSI049k/iN+QuY/cvst3XfsXL/saAc2Y/bz8ws0aLyM9mv a+K8wWrLEO3/6Q+4H/tJscPYeV8w5YF+nofyQZ+cp2C8H+Uh84tGlvEXY/nJ /K6RsfP+scP68RuZvzEyz8t4rn6/N8/L+Ab+MP6Md8j8kZGxM/6BHcbOeAh2 GDvjI9hh7IyXYIexM34i+byRsTOegh3GzvgKdhg74y3YYeyMv2CHsTMegx3G zvgMdljfn+v3k8t8sDG+Z74DZj853wvjPfjLfiHj9cyHwMy34s/4D/6yf8h4 PfMlMPv98Wd8CH/ZP2S8nvkUmPMB8Gf8CH/ZL2S8nvkWmPME8Gd8CX/ZH2S8 nvkYmPldOe/DmK/KeR/kr8brma+B2W+PP+PP+Mt+IOP1zKfAzOfIeSXG8S45 D4P9QcbrmZ+EmW/Gn/Fs/GX/j/F6/fkPzA/hz3ga/jDX6+dbmb+GZT2DkYkP YdmPy35/9uMaWfbjGln24xqZeAmW/bZGlv22RiY+gYk30Ev8wHkOcU2LT+i0 TmPqG+0r9ZP2m/6a/hmm/+qYdHWls7UWj1Cf6Q+5P/7Y6T+x0z6Q35PvMP4X WvNGyEZ3f+mvyX+wk//A5D8w+Q9M/gOT/8DkPzD5D0z+A5P/wOQ/MPkPTP4D k//8d+c18L06nTsZGrMnW81+M+SXprsDJV5p7lDe2q3BfYlX8L/X0KzH5dC8 f/r5C+mF+cPtdt8yZC4+9qbyklzVdu+W51aXww1N6u06PjTomTr0fHWB7yY/ 9WBL15/XlvdQdjUTrF9v81Ot/D6JqbBY2x//V52vUNR5CkWdn/BXn5dQ1PkI f/b8g6LON4DLutU89m24Nh84LGl0w06rs1TpeRZDv2zoLfU9cO2p7sPL+Bnm DYts/DJEyzdSh6ZOzG2ZqzzSui9rPPq6xO/lPmlUOcw32LBh/ie1pjXQ4veC Cgnzev30TJne2t+7q2WoxPNbKp6uWDb2gaHGcItR/afnqdMRbpMqj4uU+L70 rNvHrUN3S/wr852PFn30QQ1PwwmPLNOhd0/8If6nPfmz5zH8s89b0J+vUNR5 CjDte8Yl84Uvyl2UfI/2vsPOwIDls3Kk/d7jN65dk1Qtn7H2bHkquE3eH85f aGi5vMnV704Z7OuUcg80z1EvQpuHl9t7SD2Y9MmtYXt8DN+d/TDDI8ZLLbkd P/SjjccN3unBxSyO+qpKLS9WVGV2GF5trP7z7g03pLyXbfzJvuST638of85z mObZ/dA0+18MeVXbdzeZkK26Zay8f2vsZYPd9AZDjx3KkXym/Zrqt3w6nDSs 21M2s/Gk83K/hvvzfjw54Lq6VixiuPud3+T90X5+MDB766dnjsj1FvYP5hz4 +ICw4+q4sSlb/SQ/Kup8CLvIYu/itvqoj8y+7/7V1UOGgCXO33r7nJH8zrnM k0bpEy5IvJt8+nrE/JmXJX/ie2zer4Sv33EP5eWZfTBg3zXJv/7s+RPrxtmu GN444A/5OPb/7nwSztsg36L8LvWrc8ipcpCUV2vbw7kfXrgrfHZFzQMX88OE F62IXDrdQuNytfvVO518Q43p4Pei+j0f1Tprs6s6d0t16d3d5UEp3yLPHyB/ 43lqjN3TpG67CLm/w9jEgbM/fCCc1/VoYcM60cLnuk6OiraPEibfk/U5tZuv cXOMEXvfze3vzzCPFf558U5r24bxwgsKF1arczlOmPyQ+93KjJ1hEpgg9qfT ii+v1/qJcJtvJjws3i1JuOrjHjeiIhKFySe538Q7njXPJDwV+8r+AU0f908W vtexySrfYanCZy6Um+2alSJM/in14ciMgKmv08Ruae0avWV8uvCs6gXNZzhl Cg/eHl67bymNyVe538CeOzq4mmWLffQHR6/t76xx6bePp7v1yBF+1TEoaXF5 jclvud/uliauU6vkit07r0L1pTYaD03v5j/N/plwH+vmnUZU15h8mPtlW45L 7mORJ3aTJ7OdRjpo7Bl1oIbNyHxhj+rubq3raUz+zP06V77Z2apxgdjtwh7c aDNG44KAMrPqOD4XTirzKqViC43Jt7nfxuLWPxW2fSH2nX4dzStP07jXuWm3 TGa/1Orfq6+7ZHTWmPyc+0XnbEqL7PFK7OnHd8/OnK/xlt9Ca0Uvfi28IuWK +00bjcnnuZ913LOup+3fiL3jryVv31qp8ROP1s5n1r8VDn9QJ2Ovg8bk/9xv YfAQD5eR78S+brOjxX4XjZuv2RbourVQ2Orm2u6Lx2j8f31eiv78h/c9H+Wv Pt/kfc8zed/zSt73PJL3PX/krz5f5H3PC+F6GR8w2vfOf5Qa0C1TlWi1Lu7U ltGG5/ObPO1eKvtPny+iP0/knuuqsQ96bJb8HXu406OVu1pkq2V7Drm89Thi ODzYuUK9q7///9nnl4OX3TF09H9caHcvVy1rFNRjeeB9g1WZka9G18pT7xps rpn3dYCKT+qzSGWc+8N5Jeat3sRZ3blumOw1LsizQa66dHRNz4m+oYbonx2G Oy18pgq2ZliFHL1gsJ/fckzV+dp+PuId8nV9fg6Tn8Pk5zD5OUx+DpOfw+Tn MPk5TH4Ok5/D5Ocw+TlMfg6Tn+vPN9bPv5CPY9fPv5Cfcz3M9fr8nfWA+MP4 w/jD+LN+En8Yfxh/mHhan0/J+cTsFzEy8ZqcR2yMt+T8YmO8BBPvwMQrMPGG xKvGeAGmv4fpr2H6W5j+Eqa/g+mvYN63Xi/xtey/MDJ65bxlo14YvTB6YfTK eXRGvTB6YfTC6IXRC6MXRi+MXv18Hfk8+Qf5OvmJfn+dvj2g/GgPYNoDmPYA pj2AaQ9g2gOY9gCmPYBpD2DaA5j2AKY9gGkPYDmv1lhesv/GyOiD0QejD0Yf jD4YfTD6YPTB6IPRB6MPRp/+PHDGf/geaO8YP2b8l/Fj8l36K72dfBemPeX7 YXyH/J/9YDyPrF8z3p/5V64nH6d/grHr2zP98zIfy3om7Owvgdk/ArNfCp6z e9C2c6ExwuyXgh945bysXOyJMPulYOcffQ8EfJYszH4p+OMpSwctbZYuzH4p eNh+K5MaVtnC7JeCPbescXjeNFeY/VLwi+XpR0I75AmzXwruNcu+hFfvAmH2 S8HuY04OWzvohTD7peAnAz7zHjfqlTD7peCWXReadvnujTD7peDlzWJHVp/7 Tpj9UjDvj/EU3hfM+4F5HzDlD1PeMOULU54w5QdTXjDlA1MeMPph9MLo1Z9n Tv2gvtJeU39kPafxetYbwKxfwJ/2HX9Z32m8nvUJ8Ahrux53XuaJP+s78Zf1 nsx3xpcfZ7pD4wo/hyxXnbX1nsQj1D/00t7C1D+Y9hem/sG0xzD1D6Z9lvUQ xvoH017D1D+Y9hum/sG05zD1D6Z9h6l/MO09TP2Daf9h6h9MfwBT/2D6B5j6 B9Nf6L8/2e9iZNnvYmTZ72Jk4lWZPzfOTxKf8r0yX8j3SjzC90h8CzP/yPdJ vML3B/P/fK88L/Ob9C/8H8/Peh3qC8z/8f/UB/z5f54X5nrqA9fzfNwfu34/ YlHzp//u86V/dn70332/ZFHztUXtfyxqPle/H7Ko/YX6+cSi9hu+73xjUfsT 33c+sqj9jPr5yvfd31jUfCb1Xb+eke9fP99J/R99f4+To82FP8wP6ed39ftJ ippf1O9v1M836vc76ucfi9r/qJ+P1M83FjW/V9R8ZFHzU/r9M/r5yaLmI4NO 77hZcauW35DvdH7RxfO1u7f6rPyc+7WDtfnsouZb9fOV+v06/1vzk+wX0u+3 /XfbX/q++yv/2fOnf89//j3/+ff859/zn/C++0ei980OknhOv5+uqP3Nf+9P /tfan0z/IefX/Yvtt9WfP/H3ftt/rf22+vlf/Xo6/X7wouaHi5r/lfNXDo84 tyJ/lkE/H6yfX/4P5/TXbw== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNVmlsVkUUvdOFfi1fV1sKpZQWWopQCqVFKbIqiIKiouKuWAVRoBXQWv+Y YMQFSFzBHRQ17muixn2LglHjDxWNcUWNS1wScNeo53iOsT9OZt68mTv3nnvu fa+hq2dhd05E7AFygWOAdqAaKAEGAlmgDCj22t5AKVAONHudz33AeUAGGAkU +nyTx2Lb4nqRz1TYzhygBagCZtou3zcABT5TCbQCewFLPfLsGNuhj3OBccAg YDYw1vt6gS7gMOA4oAMYbLtZ+9foeZGfS+zzKM+zjq/QPjHeEd7f4nvo/xn2 r8L3l/vdicAkoAbYBxgKkPv9UsRzGA8A9gVqnYt6IN93DQfqgDzbLXW8sxw/ 5/s7N7zvSL8bTfuOjX6eCiy2vTzbzLUvwwC4EquBVcAEYLrzRx6OAKbZ1lTn mDzN62fvAu5NunMLeUs6T7vVjvcW8pGU407HyRinON+FzhPzlfGZwfbzeGAR MMTPNb631pxybw/QbS5rzDn3rARWeN+Bjo/5OsjP1NZy4GigzdyVOffzgYkh XTGOdt9FPqiPrP2p7edvh9dyzC85WAjM8JkZvqPEd9MX6uQm4F3zXGwfSs0J eaImmp2b4n62SpyLBc4Hbc/yeepipu002u+suVhh/5qcV+aUuqWeys3fweZw jbkgD4fbp3y/P8R7WH9zHA+1SV1X+P0872k159zD2pkd/9c166fS/J3gHDKe xSG9kvtjzfGhIU3zPfVyWkgzrEtqsMixnm6eaPtM2+f9Z4V08N/dlfZ1qWPv dZwDzPES81rg2DOOb5nPLfMdnI8PaYuxUk9zzRt1tNxrCxwD/Wc9sQaof/aZ Pvt/vueZfu+4Xg9MNv8d5ol6OylUy8zpKaE6IG8nO9+19q3V8fb5DnK2yvlj Xlhj1Hoy5+Q7x/63OZYrge2h/GfsW4E56zVHTwDX2z7ru9N7Lgc+B46yj932 7U7GlpQn+rzSfm9mHpJyXOczjPdv4C3fyd61xr512YcB5qHHZ87xPuadd5xt HiY4/iqPq21nnJ8530YekuqJ/CwyR3fQ96S6KcJ4g/PZjPl95vsT4FPf04j1 e2z7beAd81OA9WvNUz7muUlxvAbcbztjsPaAc8A+ujXUD5ioa6wL9t2bQzXd gPldoTrbGerRrI1KrD8d6iMdmL9qri7zM+cP+r42c9yexHMbxr9C2vsB+D70 Xc1g/XHneCDmT4Y0XYr5U6H+MgTzZ0L96BHgYWsqYf3RkKa/oL9JvZi83h7i ltzfGuL/UvtBH9aRy6Re9gL1kpTXsRhfCtVeE+YvhnrTDuCqUD9i3JMc7+vA Q6EedzH5TtLlRIxvhGr1auBNzx8DXrHPHwIfhXoedb0rpO1vgK9D/1YjYOf5 UL/7GLgw1D+GYf3ZUM/9ANgY+oZfAvwZ6n2DsKc6qQe9D2wIfU+mJdUS7/oS +Cqky9HUaVKPK8dYkdQH3wPWh77njDvPsX8LfBfqrdRFWZI2yNnIJN7I5agk Pm9zzIx3LTA06XtzETXl3H1m/+jbT8CPof+g60Jap843Rfyr3XoMvwA/h3rY jaFaYh39AfwequPJWHs5VMe/Ab+G+sTdIa23mFf+V5HbKRivwHgusDv0r8vv CvWYTdIkdVqYpFXqNydJw/eGapV1yrzVJeWOuapJyhd7G2uY9UtdVyVpuzPp bt7L2mUvYP3+A9Bb0Ao= "]], Polygon[CompressedData[" 1:eJwt1HdsT1EUwPF7q20IYgRFtRSlpdVSo6ja1Ay1d1ukZivGH1YQWxGb2HvH JvwlkhqxSWwxY++9x/fknD8+Oe/+3vu9e+85576IjOzUrADnXD8E4hquoz7K 4yESvXOjifHYj/kYihoowL1VxApIwnh8RC/URGHuryVGIhn5GK8gRqCe/I/x DmIMmuMe7qMpqqA499cTK6MRKjHeRYxFS5RmvJEYjSYIZ7yFWBXN8Akf5Dlb Uyj3N9m7G2Ml8ntbC9agkNe9yJoX4SLaozXO4hziUAwhPHuHGIWB2IBSXtcq axqH1+iOBJTl3jbiYGTiNA6hLVrZXIvRzubcLnXwuhfJ0WaEed2r7HEepqIF UpCL82iDUSjKs7ckbxiAdbJur7WQnJ5EHcYjndb4PZ6hK3riEZ6gCzrjOZ7K vu0Z6YVpdl96YjJKeM1FQ0xCEa9zN8BBLLS91sJu20OK5TSBZ2cTg9EBfzAT aUhHHu4vI/ZHBgoyXk2s6LRnkxgfc9q7Y3EKsxCERMv1Gaul5PwzJthaeuOt 0x6W3u2BF1ZDqV03HLU55N15LXe5lmvJ4T4ccHo2pAYLbM/y/jE4jq0Y5LTH 3+AVSlqPxPG+K8QyyLLaRvHbEKvxHqm7196vjmpcTycOw3BEM37g9KzKf2IZ XyaG2jPf7T/ybF8clrV67bdEy0Vdr2uVNcdzPcPWko2f9ptcyzdjLqY4PUud kGM9ILVPxRzrAal9RwTw36XEcjIPLuGIzS1rWC559XpPvhFytu7au+WMSe+9 tFqEWO7eWa0khzH8d6/lRnrygtMeSrf3y7fgi9VavgnBXmsqtZSeuopftrdw q5Wc2UyrWSDXQV57T3r0Bm7a3qQHa3v9Rsi3YYTsk/EJu5YzL7X4hj5Wk982 p8yV5rT2P6w20gNL4L3mR3ImZ/m25VbO9F/8c3pWpMe/YiLCbI6diPT6bZVv ZjLXj52eZcnPf0EZoY8= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgW4l8USxs+3a2JgYouoWKDY9yoqIaKEgiAdUgcVlAZJaZAQgz50I4go ioCJIKWE18DEQLEV5FrX4s7Peff5eB7mmc3Zd2Z353v3fyjVqmOdDqGgoOD8 WFBg/wrutMrjJneYDDMZalI5Kyg4x/S/TK40GWFS0dqqmMy08gyTRiaLTB41 aW0y22SWSROTuSZzTJqZzDeZZ3K7yUKTBSYtTUaZVDJ7NyBWvtF0PZP2Jk1N mpk8Zu2LTQpNVpqsMOlssszkSZP2Jk+bPGVyD+NsTn2TBibtTJrIFv4tkY93 Wb2x+p6w+lLa6LN6Q5NGJndKM66t7NF3t3A1N7nfpJdJb5NBJl1Nupl0MLnd pIVJR+mWJp2kW5n0sPXamO6ieZQLNb9Qa3aXBlcPaXDdK40fPaXbCUs7xe8Z s7/cpCNxEV4w9c28DsZ+0mC8TxqMPYPjGmAycD+MvWWbGAwWVjAOkQbjUGkw DpMG43BpMPaRDXB0Db5f+L/OZDnYTUZoPcY+JBzEeLRwg7d3cIxjTB4RJrA8 uB/2idon7E0QDurz1TfJZJxwg3e8NOPGyh59C00mmxSZPCwsgzUf2yNNZggr /X2D45pqMk0YwTVLWLG9QPMnS7AxymSesE7UeqPk9xxhBeNcacbNlj36XjF5 WnEcqfix58+bPGayRDJdeIuCY1xksng/vE8I62zNm6Y5yxW7BVpnnuqjtA57 s0xYwfiUNOOelD36XjR53GSpZKbWe0a2ifcLwsq4Z/fD+Jw0uF7SfPBONV+m mFQ1ec1kPTnFZK1wgHddcDurTF4WJvCukWbcatmjrz95x/SGzHMhOfFckxom B5ocb7JJ9sD4qjQYX5Mm9pul8WmLNDHYKo0f26RZ/3VpMP5HGoxvSOPTm9Ls +U6No/8zafo3Bsf+jsm78mOjyXvSYH9fGuwfSIP9LdnmXu6QD2D/SBrsH0uD /RNpsH8qDabNxMjkJpMPZRtbnwsj6/zP5CuTr02+NNkuzF/th/1rabB/Iw32 b6XB/p0063wvDfYfpMG+Wxrse6TB/qM02PdpDmMHBcfzhclPii/Yq1n7LtM/ m/ySeZkxv0rjx2/S+LFXttmr3+UPfvwhjR9/SuPHX9L48bc0mP4rG+DgTpJX HtJ+clY5iyG4P6wZg2vmHRBc40f14Ng5xweF3I+Dg2v8OCS4xo9Dg2v2qlhw jR+HBdf4cXhwjR9HBNf4cUrwOYw9VZqxRwWPdYHpo4PrzOQYafw4Vho/jpPG jyOD2yY2JULuxwnS+HGiNH6cJI0fJ0uDqXhwGwnHbp2L04QRPy4xOcOklElJ rV1cbcXlRylp/DhTGj/OksaPs6Xxo6byR2nlFcollF9KyI/zpPHjfOmTFJs9 OrOnCyOYygaPNTG+UBo/LpJmbDlp/LhYGj8ukG1ic6n8wY/LpPHjcmn8uFnY rwjOEZMfZWQDHOR1vod88/4t3/CJnM73h/5rhRu85YUDG9dI01dBPpTTXHIm ObSK8IHreuGmDveBJ8K3KslP9rCyNOMqyh593YJzkdY2/jphYT04KpwX7guH hbfCC+G+cFU4K/wIrgHngNvCheGNcObrTVfInCPDYeGc8Fa4KnwMrg3/hQfD T+Gh8Es4KdwW3gb/hbfCY+Hd8Gs4EwJXhDslLgjfYo12aoOzwhvhkYnXUmcN OBh8rrHG/sMtg3PTzlnOWeGFSxRvvmHghjfC3xLHpd5cbcku/A2+11T1dsLa VTFLnLVnlnPc7lnOcXvIVh/ZaiA/CrOcK2OrV3DO2j/LeXPi4fCRvlnOcfsJ Y1/ZTTmRnMJ7hTdKQ9kdpH1lLPwm8Sn0CGGHSw6X3dEaN1jnnXPfJzhPfUC2 yNPka/gU/GWx6tPVlrjyMK3/cJZzSu5K4pgzNCfx7KHCAmecIHyTVB+utvHC Pll9vTXu/izn7vDdfsH56xTVx8qfAcI6RmPHqQ+fi2SX9x9vPvYKHgefgzMm LrhMa9M3X7jmqR9b8MNZ8o97vkTrzFEfayzU/KmKH3yO9x9vnRZZ/iZhH+CD cNxHFa8lijtrPi1MiU/PkZ+zFGv4I3xxpbAu15w58uNJjYUrLlWs58t2N60/ KMs567Oyu1S+zZaNJ+QD/auE73nNKa3cSo5lHvyQ3Me3im8N3x4wwdPWyh5c cXWW81rqA4Jz2fXyea36EjdNXBWd+B/c6QNhgh9uzHKOS32l2uCUiRfuUJzW CVPiu5uznLO+keUcd1uWc1zq8EQ463bN2SEciStvyXKe+n6W8+atWc5r381y Xvue8NH2TpZzaNaDf8Fb4DGJ/+3Jcg69M8t57cdZzmupDw7OC3fJ1k71JT6a +Ok3Wufq4N9vvm2J136Z5byW+na1fSF75Ka9itnnwpQ47rdab69wJ177Q5bz 2t2a85NsJb7+UZbz4++0NjH4Lcu58vdZzmV/yXIuS32X2uCLiavBddjvt4Q3 8drfhYVxcKvEZf/SOvtUTzwVngduxu7Lcq6ZuCf6kJDzOfhQ4qxwvsRZqYOP NnhhMfEReAnxYh0wJf5aLOQclHsFPvgUvAp83LMjQ85Hjwk5jwRH4r6HhZx3 wtsSDz5cOOB1x4ecp5YIOa/FLrlgtc51eg9gO3G4C0POO0vKLn2nCuvpqicO Wkq4S6ovccrEMdFwtvTeYL3EU88SVvpLh5zLnhly7lgu5Nz3jJDz1PNCzjUv UuzhcWVCzk3Las4lspXeBqcophfIVuKdlyneZdSXuClc7iqteb6wXCq76Tcd viF8t/jG8t34wPp+MHnbyrcG/73gRs2/WvZYo7zqiY+WF3Y44rVaB95ZWT7A NSuGnGtWkv8VNKes5l2jNVmbbxN+VJGt2sF/D60nbFU1pqHGg3ODySMqv2oy Pvj7upzWZ716wd94nLv6wX+zYD8bBH97sKe3BOfxV2jNWsE57RiVaXtQmMDD W75O8O8Iv822xUbm9urL/s1aA/uNg3NlbNYQpgOF67bgd3RccN/wpXlw/lAt c34L14VL8NtyU7XPlN2brLxK9hmLvWqyyRzswOX4jboNuDL/LboFsbByq+B8 njK/S1OvmfkceCB8mbGUq2deZzx8ea6w0k4MCmUf7k0Zzss43gK0sX5r2Yfz PxCc9/Pb+x2KIb9RU69l5XbB3wKU4eqU4df8Xk1fbSvfHfyNQJk+ynBzfhun 71Yr80P/PSrTRxmOxG/m9NWxcqfg3InyP3w+OPd/MTi35i2w2vRLwbksfbyt +B2b3+S7sJdWfjb4fvCOek4avt89+PuKtxW/S7NeXSs/r3G8N16Q7qL2ezX+ RfX11PpoeChrdpYdzkUTnYeXhZG7zt8y7jepauU1wfvgtWulyQP3Bee7UzSG Mlx9WvD7BWfaJg2PGBicS63XGMorMr8TA9U+Pfh9TPwAzbeUM8FeN1M8eRvw ZqlreojGVtb54D3IGRkq/OhhKg9XmbHMG6y5vFF5c/LeHBm8XEVt1HmLYpc3 LWNHBy/fIMzYeVv9ozWX+1RX9tlDckE9ncelOpPEaWzw+/uK4lukWD6seG5R Gzx3rGK7QuVxmsv6k4RhgmJImT2cLN/7ay7ck37GkffIkXB98iS5gRzRSG1T tb/s1bSQ25gmDLxZyC/klhmay1l6RfOZC7bp2lPOGnMaKD/N0PhGKtcXtunC 316xqq2zQN92+ThR+MlVvD9T7qFcXfmD3xRqqp3fIBopx/CbAjmHPDRXNlpq TA3lKuaSh2ibr/YWKqd15mqtZvKrmnLjQtnjzC7RuWXNRVq3jcpg5DcKvge3 6D7OVpzaqr1Q45ifciRzmuosYb+W7sdi2VkgDPhO/+MaQ57ppnO4VmeOPUp3 e4ryHL+zkPfQy1SmnbdiC+0LfeRFcgy5prPyKuPp53ckclZd5UXqKf8tVzv2 yKd1NOYplTuonTU7yQ795DxyXGudmVXypavK9XXX8JM2ch15ljVXqEy+XaUx 9bK8j5x8r+z3CHluxa8eWrtNlufo1vrW8F1hH3pqPHl4qdo5t+Rechb5qo/K 5FliTl4l31JnHPk55ev+amcMeWBr8FzAu7pI+0UenqJ9THljzX6212huL+0R trn/2FiluwYH2q5ctEH9rwfP3RvVv0lj1msMOQc81Mkb9DGW99kGta9UPB9S rGh7TeM3yS7393XZX6/2zSofGC13ROdHRfKduW+ZrhE9p/2JT9FzQVXTlaPn 30qmr42eu2uavin6N6GL6V+C57yf2dvoefYvk17Rc+hPJndHx32p6Uui79vF pstFj+U24QbnbdZ2evS7u0ntxOIWazstek6dZ/qw6LzwItMXRo/NAtNHR/8G 7jG5JnrOTt9O7PPO4Pdf/oZWyvrHRs8xHxPb6Plnkunbo9/9kaZvjs4bD8Fe dK56sOlh0Tkm8xpo7hjT9aLnrh3WNzp6Tq6jvWCPzrS28dHz1mfB12OtR0w3 ip4bzyCW0XPkJ8H7aP/UyuOi5yJ0E5UnmG4WPR/uDF6nXNL0g9FzM/EbpRiu 0xlYpLO0VW2HWv+I6N85/DtIPnJ2DtD5GWA6ROfRb5hUjP6NZk9O1L7MN314 dL7+pskN0b/vHwaPKfHcbuVvgueEgdZ2fHRe/r7J98G/iada21Ha0z6mj4nO A94x+Vb3+j5rOy46737X5Dvd0yHWViL6e2C46ROivwe2yF/OP+v8prXKWn+Z 6DyxYfQ9IP53mj4veu5sF/3/q5ALG0c/Q5yf+tFjTZzbmj43et7dqLMHZ1to bccKf2/TfwfnNa2sXDp6/mtu+qzo36srTF8enRvyRvwj+Hf8FGs7Ofpb5aTo d5j724//RBP9TdM0+jnjjLUwfXZ0Tt/G9DnRvy3cswd018qb3h2c03Fm6+rc fm31vcHz/JemZ0b/plxpukd0LsM97qC7nEXHAQbi1F6xuif6frPX061cGP07 iL07ZJNccmT0fEL8ZiiGX5nMjv6N26fYEbcfTWpFfxteH/0scg7JT9Wj56gY /bxyVqtFncXMz2YdnU/yXJXouY48VyF6ruse/SxyNm5lbPT36HWc3+g89qPg d577Tm7rFD2//Ro8P+IL8Z6mmLNvc7R3nOsFOttHRL8zteXrXfKX875QZ6ZY 9NzH/frcpCg6D+H3hquU1zpGvxvcC87sLJ3b4qa7Rn+3c8/6665ho6XscO4m 6uxNNd06+jd3l+qUuU+DdKc4s1N0brlbQ3W/OGuTdd6+CL7f7DV3tK/u6f8B kdfXRA== "]], Polygon[CompressedData[" 1:eJwtlNlvjkEYxd9vniIkiLgh3Li1RexbrG1pq9vXr1o7LUVVF0o1RdVaSy0p rQYR4X/wd7iQEPu+JghiX34nz1ycnHNm3neWM8/MmKqGdH1IkiQDssB1S5Kh oJTGStCIbgDtqSRpw+9G7wI38QfwV9Gv4DReA70Hk82/7aKtFX0PfRt9Ef4J RtOWhpfqG/RDOI/+1fAe82/U1wsu4V/AJfTXwi3437GvB1zBv4RL6a+DZ+L/ BJ/rEHgLJtLWAjfxzS14Dv4YvAifoPeDDD4fnEQ/0Pz0rYQn4L/AZ4OPMRb/ GT4DmrUvMF6ZwNX8MwX9FX0O7AN15t+oT2O8A5Noaw2eaUB3gHJ8ARiBvg8v oa8YvoZ/DZfhG+Ft+DdwBr8DrsdvN9+bxmxC34nZaw1/QRttZcpYOaIHmY99 GtwF05SBsuafZvQP9HnQrX3iHykb+tbC8/HzwGL8Ce0T/Vhrx6+H+ytbUIEu DD7WKPNa0pgz0NPNa6cDfA8+p+ZSTWWhD4Pl+GVgnHnmyloZz0Z/hDvBUeWi szOvHZ1ZheYyX4vWXKxaNt9rDvgQx9C/qoF2dMr87HUGN8wzURaX4bn4gaAv znkcPRLkprxtmPmetBfV9BDzMfRvbvBaGYwviTXTiR5gnk0ROILuZ75XZXYQ bea1oAymmteUakln1Id+Dhcz/xb4V7wTPfGOlSs787PSnRqOnqVMg9fAJnSN +V3VncnRXsAp5YPPR+eZ667g/+pO6S5pjG70E50N/VXwVnyteS2qRnvRz7Q3 dA18Af9UtYDfCC/ALzSvnWzadqK/xaz05qTxn+JZKbNVOlvzfzVnIbrI/G7q jqyQNl+LanCDtPlboYzWqRbMs9Ka1igb87VpTdmqZfO1KIPN+tb8rulNK9DZ mGehM9+L/hfvkt6Maq3N/O3RG/UfH3CajA== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFmHm8j2Uaxn+c+5EaNJGoKDqlRYuRaJUkRWUMZSajGE1Ny6QpUSakks/s +77P5zNbkZ2iMW1Dk4qmTXUshRDp4DBipprr2339PueP63Nf7/Pev+d93+e5 7ut+zuk8+tYhY5pWKpU/N6lUahS/H5XK0aVSeVwXHwsPCYuEz2h8luI/hFHi dwlbxE9TnKm4RDhefLriYqGr+AzFx4TTxWfX5Jzniy9UXCr0Ep+r+KRwhvgc xSeEs8TnKT4lnCe+QPGfwjni8xWfFi4Qf0RxmXCkeBOhIqzT9ZtCnTBN1w8I tcJAYYDwosanKt4vdBZe1vUKYaUwWdf9heOE13T9b+ElYZUjuWuFN/yMUF5T 4V/igxQvF17xvVdrco46R+YYovufE14Xv1DxUcVnhGbiBwsfig9TvFJYLb7B z+ObhmvsKuEt8U3C28J6YbMjudfo/tXCRvGtwjvO3eZI7mjd/5L37n3hXefW O5J7ve5fJ7wnvkvY7twGR3Jv0v0bhR3i/xF2Opd1esFrOkb3bxF2i+8X9jj3 Xo1NEfbW5Dfv8/0DItfiv+IHKjb3mhyq+KlIPaKxRdYlGkNraO6USK3NsCb/ rviwdYs2Z1qH6HeW9YYeZ1uH6G6O13KN1x0dos251h56nGdNosH53kc0iBbv t9ZWWJ9oHK2jM9bkWaGDeFvr9QFrbaXX7CVrDh2tst6qe/O+1/Rl5w2wdlf6 N69Zc1W9cn1SpEZrvJ/13t9XrVF0jB7r/Js3rTW+/UrXUp3XY701t9Za4xo9 bvBv3vC9Nc7bZP2hx83+TVWLVW1utf7Q47aaRi1vdu67/u7tNY21xDvutdYa fG+X9dfadYSGdlpraA6t7fc1mm3wmu6x7vZ5jr3OuS9SoyXyHhr8n9DSHkO9 d1I8wvvYzDplLjT7kfPRKJp9UGhh/aLdW6z9aj01+PkVz8f8+CSeh/dN9LtU 64VnMH+N95f8wyLrh9oBzfzNbRQ/7VpqF1lXzIEGW/m3Fyke4rnaCwf5G3hf 6o737xhZhy3seS3921bWF3yE4p32n+Z+LvPwXq2j0efa+R1Yv46e8zbhYuF5 j3fwWvC+baJxvvaek/c/yt9wrOtueU32gk7+Ld90tN/3mMg6pAan+nq5666z axbUuh6ned7nxLu4TuH0iC5+T3wHP2KfT4jkiz3G9SKvz4leI+ZlHnoQPoV/ TXc82b89NdLLqv4Fn+HIPTyO3K7m+Bp+R263SL7EY908D2vR1nvUPdIT8UG8 D0/ED/G3cyM9rkfkOP5IbnfPyVgP/7ZnpIfim8Sezp/j66qvnhmNPf3saPRT 7pE738/GV8nt5RzehXF8Fl3095q3sA7RZu9IL6ZOiL2dv9D1Q+30ieRLPdbH +fg1Hk1u30i+zGN9nU9/xt/J7RfJn/FYP+fjsdRPeB1Zr5ne5/7e6wV+P751 sOIdkWcA7l/inAZ7E70SX8ffX3EcaH6pOfm3R17DGbvMOYD+wRyrzF93HGT+ WXNyx0Zewxkb7BxAb2COOvPVjkPMh5qTyzcNNWfsCucAeglzrDN/y3GY+efN yR0XeQ1n7AvOAfQb5thgvtFxuPkXzckdH3kNZ2yEcwA9iTk2m29xfVFD1MuL XnfqFT8b6d9yvhrlfEDfYo5t5u85jja/1pxczsvXmjP2ZecAejNz1JvvcLze /Cvm5E6IvIYzdoNzdlg/9f6ma/wsxm6yrm42J/frkddwxr7qHEB/Qo/0HfgH Hhtjfqs5uXdHXsMZ+5pz0PXt1ifaHGuNoYtx3l9qBo9u6n0e7/0a6fdnzefZ O/AM/AOORx2vv1F+EOktixRvLLmmFyqeX7KGfyEMKOn5Pxe/uGT99lY8u6QX bBSej/SVHhrrVtJ7lvBdJdelRvHjSE+/W3x1ZB+7RLxfSS+YqLgmskdx3uD8 QB8u5vRu4n0epzdPMacX0ZPoQ4+w1yV19qHwl8hzwU7huch+/Bj7VXLvH2ed S657C8XmJfvDIYotS/aMwxRbl+wH1ykutKZvEH/UurxZfLG1NUx8RqS/DBV/ KNKD+db+/t7BivWRntxH/KeRnnmR+M8ivXG0+PzIOuTbOB/TY6/S+MxI3xkp Pjey5o8T71yyl5yk2KVkTzhNsWvJ/e+k2KFkHzpSsV3J/nSW4hkle8B6YVdk n0ATE1wvOxT/Zr2NUO7sSM/a673g7Edvp8dX/Xuyv/Ee5T8VeZb5FnOU7NdP iK+L3OdvCBsi+/47ii+Ez0nCbyLPVZuEX7pGNis+GXl2m6L5lkaed7YK34w8 O2wRnhUOF77N/pfs+38QX+v6oQ6OLVkL3xVvW7Jff0/8iJL9+jtos6S//Vj8 9JK98kfip5asKfatb8m9+6H4iSV78U/EzyzZN9nn80ru9X72sOSa7Rb+FHl2 ezByrVnnBeirpP+ypvzNwzlquuIVJX2i1uP4ba11wtlsUqQHVf1noveKmsR3 dtujJnn9H0ZHJf1mO3seeR6cJQwv2dvmCaNK+g3PmepnsYd1nmcPWog8Xw5U 7geRNXqZ+L7IcyHvO83fspL3ijxrDiq5Ll2cN83fN0e4uqT//T6yftDVHYqX lnwHvKe7/ed3wviS8/PMcSXnY+xyj6P3XtZ8z5L7yp7iE29HegXvPrbk+x9Y Urvotk1JTaCH30a+xyfnYfGPrFvq7wTX4J2KKyLP6csj/Yj5Ty6pFXRSKVkD n/y/qKS20NUB4s1KnpXws22RntaqpKbR8zkldYbG8NomJf0Wnz7XXo0HnGIf wNsOtr89HVmf1Cb+d5A98I/CZPF7FH8V6d34dvuSdUKNdCxZJ9TIXyM9l3fD Y46yz+Axh9tn8NFD7aW/jvR9PP+Ykv874ww8qeSzeW6Il5J/A9CXLnBvGkMt Rvbg26jRyD6Kp9Ob6cvLIn0BT8AXa+2N+P0Ee/5dJT2FGvk//Zmjbw== "]], Polygon[CompressedData[" 1:eJwtlfmPzlcUxl/z3lOx1G6MdaYtipSiTSlDirGr0bEWpR1L1TJDGWuQ+kX6 JyCWtBXVvdYy1Da6aVpqV6S1hK4SSiWaxufJOT983nOe773fe+/33ufc97HS 8pKynEwmsxASvMPPWqgLDeAXuAlNYWs2k7lKvAa1YQ/6XeI6qAcN4QzMsExm CnEx3IEr0AhawgW4AbnwgPfPEcvoP4u4FM7DPHQ5cRmchMnoscQKOAEvo4uJ 8+Fw8jVrrdXhJdo2EetDfziafI1aWw04C7Po8zpxCZyGaejJxEXQifxp6KGx Wd8pYil6AnEhXIQqaBJ7tBdm0j49+Zj7YA56ZvJvakbeHLqSf8l4PxBHogfq O/UM5qLLkn/zGu0DejnxPv0PEY/Et+XG3F/Ft2gNTembB/uzPscT5I/DAfRz 6FbkLc3nfhbdmryNedtBnuWTF5i36Z125E+at3XnWXvyDub5IZ59TfwGakIe dKTtKfM27dn7cB0ehRz4GzZDY2gB3TQ3HKF/b/Rq+E37BAXwjNYChcn7XEo+ Z154rJC2nlBF2wvon2AieiRxAdyG76BWeO7X8LC8q2fd6fu8+dwa4zhxDHoo 8U34QueILk3u4ffiG1rEGl+kbTi0JT+W9bXfCW+rvSttXcy9Uxhe2E+cndwT 081rRLXxKrxh7kl5cSpMQH9OHAUlsAL9HzELK+Et8xpS7azSGOYelTfHaRz0 YnPvzEWPNa8Z1cqw8NqB5G3y3HjzPdTejYBXzGuuItbwB/wFzZNfEONo/zT6 DodJ6O0x9xh4Db1TZ6KxYSB6EBTpHFlTX/J+0Fc+Rg8mHyLPor9FP2Jew6rd DjCUfBi01rnSPkBt5u8WRa0cJFrympltfqfoLpkRZ7kn9lZnOhW9O/Z+EoxG fxx7MyR5LVfGu6rpcvM7aVmc4Shzz8grg+QR8ztkUXzzBzo3ng1IXuMfxRwa Wx67DD9CfvI76l95M3mt5Me7H8bYGkO1cxdaJa+h7+Gf8Jru4D+T11BBnFEx 729Uv6x7tAK9IbyqPWyMzoXOye+M/4lb4mxVs71UG+a1dZT2+eTrY+91RvJi dfOzkSdv6dvN7zLNuSM8oLPXnXkPfoc68Q2NaGsI+7K+hj6ay3wueeKBztHc 6xp/W3hM3tJ/wCfhQXlP/wGfJa8Z1YrugLchodvHnGY+psbSsxx0FtqR79Wd QF5bdxi6El2XvI553oln9cjrm+da867wkLyj/4ya5DXMx9IY1cgz5v+NmuPn 5DW7Kjz6EOlb1Mo= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGmYjmUU/izfeZKSyJKtGY0lSQjZQkJjCVlG0p/0M6V9X22zYBjGzkSD GPuWdazZtxnb2CUlSyJLlpTu+zq3y/y4r/N8533e532ec5/7nPf9Ynv37fJ2 wUgk0qdAJFIItp9FIsuBKdFI5BTwU9TH14EtwDRgMq73DpHISYyvAZuBqcBf wEbge+AKsAnIBG4CW4HpQBT37oadDfwLbAdmAP8A24AfgDvADmAmUAjzd8HO AgpgvBM2C1gDrAbSgAB/DuwcoCjG82HnAfuBRcAgYC+wABgA7AMWAgOBg8CP QDJwAFgMJAJFsE4u7FzgELAUSAFOANnAcOAYsBJIBY4Ay4EhwFFgBTAUOAws AwYDx4FVwDCgNtZ/2vyZZ4G1wAigInwVgHSM28GOhh0PVME4DpiAcQfY9sB6 jLubX88AYjGOAcZg3AM2AXjJnENy0l8xnqHzbhJvA8VbpuKzWTwPEm/kJEn8 T1d8toufFHGVpTPuFFeMw25xwvjkKJY8e674YQwfwP72iJsHzXkiN7uUI4xh MXPOyGVxxWwJUMKcP3LzMMZ54rKkOWeM+0PmeUBeHzHngzzlaQ2eqy388cA6 jEuZc0n+yphzTM7KY3xOXCUqDrz3UfOcYC7GiAtyFi8eOSZX5HJc1PmYCDtW cZ+qOPcXR4w/ec4Q7+eBDcDkqPNJvidpXqbWSNa5k7TWNO0xSWdMFDdZ4iVZ OZAizNT1VPE1TPNmKf5JyoFkXZsr7hIV10Hax0Lti9xSg2n6vUDnG65rabpn ke5LEYfJ2scy+WYrh1J1z2qt0clcL+na3wrtl/NWyjdEPA/WPdna+8viebTi t0l7KGuuz2xxsll77AZ/R2mN/GzUmX6Luq76a91Vej5jvyVfjmxV/Bj7ndoX Y789X+x3aJ+MfY7WY+x36SyMd67OUQN7eUI6qQX7lPKb/GxTDGvC96Tdq3N7 tWfGe5/OS072aP+lzWvWSuXLAe2/Lvx18ukqT2chVwf1LMb4sPZfD3OfkSYb wj4rvTWArZ9Pk4d09sbwNZLeWsA2FwdNYZvYvTp6RHHj/o4qJoz3McW8GeY+ J61SL38A/cTlccWTuXNCMWTf+iXq9Zb2Z43X6toIcUuO2fv+jHov5LglnvO8 NH9acxjDDXo2n8sawVqRrjXPanxRY67/O3Am6rq+oHs5rmpe6yfo+gX5uZ9L Uc9B5uzVqOcpOb+tnGJuXo56XjPvbikvmMt/R+/l5o2o5yZz8L+o5yDz635z fTJPC5rnIHMzYp6/zMfC5rpknt5nnpvUqJnnL/tyOfN487ysmzxzJ9XDkVG3 FdWnKmnM+LQy/80xfY9pDhGjWjpa99M3Xn7GqrJ5/6Of9nH5W5tfo5+/4+ze fbGakyH/d8qFX8VRnLigv405N5zP+hGv/VBb1CP1RB1Sj9RZNdjqupf9q6b0 yB5XQ/rlb+qUGmWfqiUts6/Vk47Y72qr5xF8Z2DNpRapTeqV86g7apR9sK40 S51Rd9Qre2IDaZCapDapRWqLGqSO2fsaS4/UGTVI/bE+NJUeqTFqjVpkP20o jbNXNpMGWUtbSMvsjy2lF4LayVaMXzCPM+dR+6ukm1bKAfLfWtxR88w76p2c VFNsmQvxyquu5vWdvZY9l+9Jo8RV23xz2sv/iuYyH7rJzx7Nes8+PVZ529lc x+t1jX72cM5hL+a7Vkfdy/100v47a8zndtHe+Nx2GjN/aHmNOcXnd823f+7p 7jO7af2e5vu++x5Am6F1ump97itB12l76N52uvfuGXvonN3lH6/1EzSHvp4a U09tlP/k7aI0kqA5XKMuvgnqBOd/KNAoOIejgObBOUtiTpnzzG+IKeY1dyDs fPO8eB3+ceY1dQRzL/jz32EuBddMLyDLvN7O4t41fx1sova3hFoxr9NrzL9t WMP7Mj+D63YM8868Z4yEHa6YN8P1dHPNN8R4iHlt6oXxa8CLjDvwavCaQd8A c/9SYJl5/W4Cf5p5DVqsGsH3ihz8/tq8th+ihsxr9xuYP8m8N6fADlLuDYMd rDx5F7ZVUK3hdfM+tJr8mPcr7utN8731gf1SebjA/PuNMacvWf63YL9S/uTy XOY9ir5U+RmbaYrPTNhsxZ/7ytTe5sDONu+XC8UT5/BM83SuT5nPwevIZ8y3 4Pr/hFoIXnfeB+KD17gPqIngNe495mHwOsjnL9T6/Gb9Vvwyd/YoH74xjzXj /AVs/eD96SOgY/A6+DHQOXgd/BDoELxufk5dBK9Z+4D95j2YucYc5fr1uK/g dW6iOX884yXmoPl3bXXmfvAaXJP5G7zWnmK+m/fmGszH4DU1jvkevJbfAm6a fxOXhK9E8G/TC+TZvMdfh71h3stPknPz7/JSmFs6eF+/DFwxf1e4BnvV/Pu7 Kq5XCd5z7nAN8+/sPOCA+Tf9Gdiz5u8NlTC3YvCeVos5GLw/xFDrwfvYba5t /t5QGb7Y4H2sHOMU/JuvLGyZ4N/rFWDLB++NBhuCv2ecZl6b//dQm5wH7zNH gSPm/zEUZ5yCv4sU5drB30WKcb3g/w0U4fXg/z0cB06Yvz8VgK9g8Hed88A5 8/8qCsNXKPh/D/8DZlxk/g== "]], Polygon[CompressedData[" 1:eJw1lnf0j1Ucx79+PJ9LRmZC0Y/sETIjxA8plX7tUyHtRXufU9E+jdNQnVMn CZXZMBINochs70ERocyMrF7v8376433e789zn+fe+9zPusXDRpQOLyoUCmNA ObA4CoUmqVCoDr+TFQpfwPeAl9ELwAvoqeB39N+gJu8eDiry7A3sHfDFYCl6 P1iCbsF4Tfhd7K/hL8Er6C3gU3QzxmvAs7FXwh2w68AfYO+E/wUH0RPBn+h1 4FX0brAQXZ/3q8DTsQfDv4Ad6E8yv7sR7Mn8zXfon8B29DjwM3o1+Ac9HmyV Du/99cx7/RZszbznTegtYC/6NfBDeE7NtQ38hv4D7EJPABeivw+PfSygj2K/ h8IztEe4IXZVeCb2Ivho7GrwLOzt4T1pL/vAXPRzYBN6I1gTXlNr7QTV+fZK 7M/RFeQTMA2Mki9BZcavwP4MneCy2JfBK7DLwuWxL4dXYmfwWK2tNbBXg0qM HwKmoiM8V1Xs8vmcD8Bvhd+dl3muisnvas5J8ORwLI0EdRh7Mby3SvC98ns4 tsZm3vtMnWnmf6imswPTMq85BtwP1mCvkk/QPRhvAvdTnIBu2A3hvuBSUAa7 CF7O+yvg9oph+H3s2fDz4C/0+sxnWUv/nJ9pJ/RD6A3oenARdgFMzjznJWAf KIBlPJulPArPtQ4MUe6EfbUIHMj3pL2UgQ9LzinlktYcD7pg14dLlDfgI7CZ 8T7w3dpXeG7l6Dz0h+GzW5vZt8H35XIfJ3QGpmR+9h6YGPaFYmo5ui3jtTWW +d/KJceG/nEp3Aq7FjwH+9TkHFbudoabY58GuoRz/iKdpXJYuQ66JvtEvmgA uif7TL5qFP72lvBcmuNqcD7P+of9Oyc/k5LcB70Ym6+YQzeHT8AeEdYtQL3k Z9KVwYNhH9bLz7Az+rF8L0eC47CfyvdSDAZjXwuP5t2Bege7D2gVrjk90c/C zUBTxW24Rqg26J+PZ3x0PtY4/O11cMvwHAvAEcl7e1v1An0N+mn0AHgY2BbO /SWgHePngF7hmD0Pfaf+G/QGZ2Ivg+dqbfgs7NvDugc4O9nH8m1P+JjkdzQm n2vuO8JjWmMUuAvUVVzxTcfkGq3arGe7wzVatfkAaM34GaC7Yhmcjr4V7qqz BW/mMazYVc4OZfwJxTS6FB6C/Ui4dgyCByX3EPUOzXFs8j/rX9UjtNZtcLfw mucm57RyWWfSMnkPWlsxW5ocw4pdfaOzapO8V51Z72SfyBfyUVPsU0CncI/a kMe0Ylk9ZVU4p5XL6iFr0UPB4sw94Mk8phRLqkGPh/+5NI+pb8I9Qr1BPWZC HnOKtfmZa5Fqvmq9atLmPCYUC+pBP4Z7nnqdetoM9PRw7qtmqlZXSa71qtl7 wjVKtUk9dS/6YLj2TMpcW2sk9w7V2F/DPVK9UT31mXBMK5ZVY6eAC8DCzHeC 4Yrd//ee+SzWh3u1zmRcOMYH5D6vjb5KcZH5DqFe81I419VzTmb8JvkddAAn JvdM9cp2cEnyHUC9vzXcH/sGxTVoCwYm32l0l+kY9uXNYS2fNtJeQPtwz22c vKbW0h3opOSerF6sPfTFvj68VhvQIPmZtHq65roxvDfN+XAe04pl5bTuRrvC uaI70qPhGqTaoxrfL/mOoLuB/uG+cI/TefTPz/qr8N1JZ65aXiG5V6umFyef gf5dd4r9YR/Lt+pJqpV1k3utauZ/lhtNDQ== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt01VTVWEUgOGt2GIHtmBgd+eP4JJLfwDeAzYIKljYWKiAYmGgYiJ2omIX JoIY2IH1nMGLZ971rW/OPrPnzImaMjUmrk4QBBfpSGjuyjS+8o1rDHKRrIP1 u/7gOkOc5+pQ/ak13OAXKfzmCsPdF4Ser8uC2i9aLnX1oDbSldpQV2ljPaxN dY020UwN1yPaQtdpc12vLfWottUN2kY3ajs9Fno3zdIOukk76fHQu+oW7aLZ 2k2LtIdu1Sjdpj21WHtrnvbS7Rqtp3SA7tL+ulsH6kt9xgsWMcnuuU7WJF3I HvaSz2VOM8b9GR2rT/UJ/cx9mWNOZwd9nHfqpf+/32jnkxqpudpdc/QEE8yz tYzHPGIzne1naRoPeUCEXXtmmhdwn3u0tmvFDPN87nKHtTSzn663ucVNVlPI RHeHtIGu0DCtTz1GccFupM7TEVqqf/nDMOdUPcsBSsjgKks5z37OsYR9LGa8 z40j0fyZL3zgEx9J4B3vqeItb4inkteUU8ErqokNav8j/wCT+m2z "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{320, 319, 323, 839, 830, 831, 829, 833, 832, 722, 835, 836, 834, 838, 837, 723, 841, 842, 840, 844, 843, 724, 793, 905, 777, 828, 752, 826, 751, 827, 721, 322, 321, 320}], Line[CompressedData[" 1:eJwl0+VSVGEAx+GzgDF2YIyNYrcSYqN+BRFRQQV17QLsxo5RFFQMsJsrwCvw DuzCwI4ZFTsfxg/P/N73f3Zmd2bnxITz0nNDQRBUcjUiCDJcPuorFkcGQU8W sZDzvLSf0x4sYD5neWE/o92Zx1xO89x+Srsxh9mc5Jn9hHYlzCzKqLKXaiwz mcFxntqPaRdyyOYoT+xHtDPTmUYJj+2HNYapZHGIR/aD2olMplBMpb1IOzKZ SRzgoX2/diCDiRTywL5P25NKCnu5b2+t9blEPdKYwHg+eJ6uDbhMQz7Zemlv +nDDfYlWa1/tx2vnmyx1zqU/A3hju0Wecz4DGcRb222WOX/WwRpHPHfcL2oj vjgv16+6QhtzgTa05bt9pX7Td9xllftqEkikKVdoQjt++Mxa/aVr9Ke+5x7r 3H/rEE2iOeU0YwN/PFuvf3WjRlNAwCZCbKYFW4lgC5FsoyU7iGI7tdhJK3ZT m13UYQ91a/4/3xVPAok1v40khjKM4YxgJKMYTTJjGMs44oglmiiqvUdVXOca FZRTRiEF5BMO/X/v/gGMwWmk "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0tsy1WEcx+F3tZakEtKGEMqmrdBGkk37TnMJLoAr0GlSiUpNZ5rRZkUp m+oODGm6g0bSDCqjkAORZ8bBM5/f/zvzP3vzG5rqGyMhhMe8jIYQJzMWwghT jPOVj/xmlD9MMM80N/jJL37wjBWes8onvvOCOeIs8ZkvdHEtIYSNJPLP93V9 os26rAka46Z7hr8s8pRZullgjEm+0ULwT4T/7qhuoNWdpJvZxFa2cMu+TVNI Jo1UbtvTdQfb2cVO7tgzNJPdZLGHNnuO7iWbPHK5a9+n+8mnkALa7cV6gCIO cZAO+xE9ymGOUcI9e5mWU8oJjnPffkorOEklp3lgr9KznKGGajrtdXqOWi5w nof2S3qZi1zlCo/sw97HB97zjiEGGaCft7yhj9e8opee6Pr7WgOtcUmh "]], Line[CompressedData[" 1:eJwl0skuGEAAx+ERXLxFH4eijZbat6oWLVX7kuDiGWopCTdb7V21pdaDpvY9 jQPi0IiDBBHxJQ6/fPOfZG7zIL8sqTQihNCq91EhLEWGsKwVbWhHBzrUkU71 X+e60JVudKsY7zu1qAUdqDE6hA72ak7N9jxnta8Gu509mlGT/ZvTOtGuWtzt 8Z9+qd5u47Fqnev0Tj/tt/zBcu6wjFN8w+8s5TZf8xuL+ZUl3GIRv/AlP/MV N1nITyzgJF9wg885wTyOM5/rzOUYsznKHK4xiyPM4DAzucp0fmQqh5jGFT7j IJM5wBT+5VP2M4l9fMI/rOEZH7Obj3jNRCaoWl12Fa8Yz4eq1Ae7gpeMY2z0 /Z+4A7I1V0o= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0tdXz3Ecx/FP0i97ZZVVRhLKvJeVkZBV55iVeSFCETf4C1zjP5Ccgws3 5ZhRuMgso6yQWUZ2D8fF4zy/r/fd93u+SflFOdujQgiVVMWEcIRTbIuEMCg2 hMH0ZyAD2OreT+PoTV/6sMW9p/aiGz3ozmb3LtqVGGKJsMk9WjsT6EQUG93/ 8Jef/OYXhXznB19p5xsFfOYLn2ijlXw+8JG3vOcdG3hDC8285hXrecFLnvKc Z6yjkSYe8YTHrKWBh9ynnges4S73qOMOt1nNCco5SiUHOcchqjjPac5wlpNU cPzfe/o2xzReE7jgeYYWaYYOYSgX7Zm6Q2fpMIZzyZ6tO3WOjiCRy/ZcLdZM TWIkV+x5ukvn6yhGc9VeoLt1oY4hmWo7S/foIh1LCtfsbC3RxTqOVK7bS7RU l+p4JlBj5+heXaYTSaPWXq77dIWmM4kb9kot01U6mSnctHN1v+bpVKZxy56u B/Rw5P8/3wE1WGL5 "]], Line[{1646, 1432, 1436, 1437, 1438, 1439, 1576, 1686, 1855, 1685, 1853, 1684, 1854, 1703, 1852, 1682, 1850, 1681, 1851, 1702, 1849, 1677, 1847, 1676, 1848, 1700, 1722, 1672, 1846, 1671, 1729, 1698, 1712, 1669, 1695, 1668, 1884, 1883, 1643, 1882, 1694, 1704, 1697, 1890, 1696, 1713, 1670, 1674, 1887, 1673, 1661, 1644, 1885, 1699, 1675, 1679, 1888, 1678, 1662, 1645, 1886, 1701, 1680, 1683, 1646}], Line[{1718, 1511, 1626, 1745, 1663, 1744, 1664, 1746, 1689, 1889, 1690, 1707, 1706, 1627, 1714, 1725, 1705, 1724, 1687, 1723, 1688, 1720, 1719, 1718}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.1499999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.1499999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVleXh1Gxa2wxdhTFGhRjImqCXnvHYC8Yew92xN7FXlAQEUuwgEZR QbGXVyyoiIAUQekgCNKl2HUya73PvrNuZobPmfmmffmL9ax99n3v73DaPufs azxh9qDJxQ0MDNqWNjD457+rln5qZWQfpRt/e63uFwsvpfuNWeFeQ0OFKxW/ 8Xp9fz/hEUZLqnpfOCaM/6heMVE3u9wSfxh/GH/YL7lYzOhEH8Xw1JuIQZMD lNEz3YzLBvsLYx9ettyMed1DxQ5jN71WY9pPwyLFDmMvNrvxFMNpMWKHsac7 1DqbYpEgdhj70BkNvnt4N0nsMHZdt6ZeZwakiB3G3rxeKzOniFRhx8IfTi8a l64k7jdfM3VmhC7W7lBFs4kuSn+d5cD8pYHC1C/svmm0xfc/XhP+4dSmY2W+ 2qWYvXv5dNPge0oDr8r397ndEsaeYVYifdvVYKV/dZeOV1c+FsZ+K7Fy2rBH 4WKHsTvvNnpRP+6Z2GHsNr1Nk1Nz4sQOY3f7uD93xOpEscPYy0UcmdOxXLLY Yey2XieyjR1fCMdu8p5Vqu5L0Yud+oexUx7/3hMvZb48miH/D5j2S/3SfmHa L4y/tr617Rk7+rBTnvaMHcZOe8YOY6c9Y4ex056xw9hpz9hh7LRnmPZM/cLY ad83tkfaDrrkpwROsalk3TZVWbZjxvKRY7fpahpnrGk+1EOpNvB5qbjJvyt3 Gjwf5e5/R3nXb1qg7kWg4hqaO2JW9APh2u9Sg1JzUpQSR3aa+1e5rmR5Fj7y Lp4hv4f/PsMPjs5bQpXD+9e3MDAIEV74s1OzB1UihPsXP9xkV6NoYYdnw3ed co2X55210NkEtcwW/hj0U8tf0jKV77a6RnZd/FRnevrEUNM5cxTHUyHfbh0f LlwQWG5leJ/Hwqfj7Y92nOQvTH+G5zYq7Bv8wy3haQEBiXfL+QjT38s1/+1q 9tgr0v5g6tPcbuf1JgPOC8dFeV6+NFcn4wvlYcZfxhvsMHZ+H6b+qW/+v9r6 r2C37ffnG8OEE5rtO3bK9anwhajj7naescI9e0U9rh+XIM9bF5o94NHiNGkf h2stqWjSK1P0Mf/A2vmE/s77tu88f7tyQ2XaJ+0XO8+j/ml/6KM84xP9G6b8 pG2THew8k+X9R6z/2N95S5aML34bdBkr+yd3YnyB+f/ClL/h2CDe7PvbMh7B lIfRD/N+8Jv5+bmN7UNk/Jlju+THWy3DZLxZUTr9rVfpcBlfqu7cX/7T1+Ey nrSosmP270PDZPx41sim77F7ITJe3GgZZD3C3l/Ggx7td/eY0OCs9B/zPdUv T0oJVVwN+yzq2D5E6X6ySZXOn8OURZlJF968jlCmDB/77S+1wxXPllcPbq0d oyxanmjZbWmYUt/6c37y83ileFVr3S/7/ZUtZh/rOQWlKm65D/vZm51TSl5f V/XcvUzFo8dXR1bEuCiJvVwDt/2crSzzXX97UeeITpXWRZ7NmrFZ+NnQ9HHz 7x8SDovaGbja6aJwZzvP4798e13YafCkpJDMu8L+bnODO1++L3wwWjf7bJlg 4R/X9pwyfdZjpWa1bs6Vhj9WKg7aXre58T1lhVnDbh+nP1YKDnsNXTTrnuI1 IiK7X51QpY/RlYE/Lw4Sf9sdj2Yu/aMe4MrmQya1WfVEuHfXqF+7mz4Tfp46 fsL7nVHCRgWp0yt2ihOOedSudeLAeOG3g99/n940UbjXsU5n/J6pPLFl8XNB Xs+FvVf1aHVyYrKywuS4p9H9x8qiefEPQ/JU+6NSZdv4dHghXGdU/1M7Ml4o WeVn153RK0hp0Nfs3qXPKWJvF1/J2+VWmrD994NNbRe8lPbq2aPzmPrXU5UB meVrD018JPM55Q9d/qb18n4ZwtkVRp0c8SlDyXnsN2jYNJ3SOLHZ2DLfqfN7 1/nhob47M5V+lS5MSa14Teb7H5yWGi6ul3yD+ZznyfiiZ8YX5gNXW68Pq/7o T9jpT23a+bR1mfj4T/N9YWGM8d3796Q8/Q2mv8H0N5j+BtPfYObnr9/Hbvr4 a7DM1/z+lWfOZsmdk6U8/RNmPJy2IWFi2p5bfxofc188rWw4Jl19/4yMo3EJ JxSPN7dXeod7S32cH7+67oXOB/9UP9NLzUvY99lfWbPZY0/k2T/aQ0Xj5XaP U5Szd6PL+Gy/pVROqT+t08R0pWb3T8NHHTik0/pTnzDj8bRrtYbazwuV9WzN QaWP3/EPVVIO10uKjXysNGx/0y/YJ0zWs58GnY8u+SBMaR8QMdPM8oli23Pg mVnNwmU9m3Fyp/H3zcOVb8ZYzJvaKErp26/RyxlBYbKeXTL5VLbn5TDl/t2p 4407xisXEuP2XT4WKutZE6M6m5L7hSpnek6Ii6yUpHRP3Fhsb7NQJTjrxv4O XZMUjzkxv005p65v162okZV07LHiXvlclVPfJCvzrGKCNvj6yfy1ddTv3zWe fFf5eUY/q6ubXkp7DXN9O9UyLEvYIXbd3IEbsoUZb5nvmU8GVLj2cnrSU13r e1t664a6dfq6wmK/OpVUtmvpXWvy6zBhr5b5Hc89DBdmfcDzqv5suvPDucdi jxyQZnM6Llh4XnzXVdk7Hgi/jL9/f0v7h8Ksh2DWGzzfs1GH2UZlb4vdvNG5 JmvG+QpnPezp2nzCWeHEgEHfTjh3Xpj6kPWSvv24VN7p+bD0ObX/uA1LLht9 U+qL+bK9wZnheb7PpD22qLl+5K7WkcJbO9zwjKoZJuxq/OKExYknwtQXz/vQ tf4n+10hYs8aVfjZpFiwsNub0R7RIfeEr9w/ffhgQYAw9QVTXzx/Rfn6fb7z uyN2PzvXvbE9dcIubwoCSgefEl633yhuQ8vLwvR3npcSovxYJvui9Oftl+fW 6lnbV9jfrtj8c30eCJ/1OGOX2+SOMPVP/6S+fxu8MrDsw0fC5S74ZTnvDFEC j4/d4x8ZorzbYTLqRuVA8af/Uv7oaMtky9fq+Bk7LSxj7JEIZcmcpuu3WIcp hi+/CapZJkzZvG1uNxuXMKVwQ7L/JLNweR79Hf8llayTvin7VNinTuLLZuej lVvfGRbUqRSuDLOKO3LyRKTyLr5yxxNNw5V1LQaWSt77TJ7H+ID/gFvTEuJq xwr3eLEwf1FSvDzPtETmIdtrMUrfks6DSsaFKX6NHEy9VsTJ8xhP8N/549XZ Q5zV8f/MzRXzf7H5Y/zPXp95sG6Ykmbfuov52QTFv8E9f++8UGViSrmM0Z8T 5HmMN/i/r3Yrq319df6u5Wr/qktBsjKjfPzAnPUhipPReRPLGs/FXzv/Ts68 P7PecXU+Xzt/69wmK1LV+VQ/fmEP8gvKKPadOt9n9nfMKVc6XZmwK+vIAMNH yiYT9/mrXr6Q9XPUkx2vCpq+UJw81k/d1M9fcbHY1axmRqrid23s6AOV7ys7 rVcOqXsmTX6P+Zznd3B78mvK5X8xXzVxnZ29Q40faJ8D6iWZvnf9Y/3f//ff 9o5NVz75vm/S68odiQfc+jyKrzdot4wnF7f82GFh7VXq+DNRCR4zLEDtH+Pq f/C1CVYurywXYO18WzFdfdvM6+cQpcCpfKOrEx8qk6JqdAjwClb2xC6Nc/0q RXFUGhps2XhA4k2fmaUia1ueUJoV1k05vCZLcex37Gq20+9Kj9D23tO2ZUn/ 7xGa1vrlwEs64gOY+AAmPoDxv18/ILHmtw7iD+MP4w+/zBv7cu6ecIkfmnhn d4vzixH+7qJuQJP3icJBuze8j676Qnim7c/HHVukC5cfXGNo367ZwuEu2asM TuUKm2wcHBF1KU94/sKLLS/eKRC+NaXOul3Br4WrDFv5bGb0W+FxPZJa90l9 L3zmh14bTPI/Cn9udDLm8+fPwuhjfYY+GH0w+mD0weiD0QejD0YfjD4YfTD6 YPTB6IPRx3oTfTD6YPTB6IPRB6MPRh+MPhh9MPpg9MHog9EHo4/1M/pg9MHo g9EHow9GH4w+GH0w+mD0weiD0QejD0Yf8QD6YPTB6IPRB6MPRh+MPhh9MPpg 9MHog9EHow9GH/EN+mD0weiD0QejD0YfjD4YfTD6YPTB6IPRB6MPRh/xGfpg 9MHog9EHow9GH4w+GH0w+mD0weiD0QejT3v+QXyJXhi9MHph9MLohdELoxdG L4xeGL0wemH0wuiF0Qujl3gZvTB6YfTC6IXRC6MXRi+MXhi9MHph9MLohdEL oxdmP4X4Ev0w+mH0y/65Xj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0+wwx ftKgQ47oh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfRP9z1a3XF5 ruiH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9Bu1aja05K1Xoh9G P4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRH+p60mlhqXzRD6MfRj+M fhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+jfWNosLK1vgeiH0Q+jH0Y/jH4Y /TD6YfTD6IfRD6MfRj+Mfhj9MPph9HeyPVtt9I5C0Q+jH0Y/jH4Y/TD6YfTD 6IfRD6MfRj+Mfhj9MPph9MPsp7MfvTGk6Z5mZ54KJ96zftM3O154lUcj92Kl k4WN7NMHXjJKE7428dynWeaZwi0PXQ+veixHeJmDsWnW2VfCASvt1zy4kS9c e3Za5FH/QuEZYyzNVj15I3zJ0tveOvGdcJmO1aPNsz4IDzdd3Kbqu0/C6NWe X2jvU8j5if485KvySQUjo3LU8/iFU9oG1H8lvOh5mm2nSXnCrQbO9PE6ni+c dD0nr2FmgbC2PfE+tCeY9gTTnmDaE0x7gmlPMO0Jpj3BtCeY9gTTnmDak7Y+ WS9Tn6yv0M98CzP/wIzHMOMTTH/lfJ37FLRX9mOpXxg7+63YYezsn2KHsbMf ih3Gzv4mdpj3fXduTJVdjZKkPPuXlIcpz3k79cv+I+MTzP0C9veof/bfGN9g zu8r5q3aWiY4W/bb20Xtn+412lP2x2D2F+c0iG5j3Pmc8PYFq2cadTis43yB 8jD7a5wXYIex8/sw+jkP65B0u7PlkQjhCN8tmSWuRv3pfsas9Z+HtcsKVBa4 DXa9EhIn9s26bUfaFyQIR57OfVut2HPhZgeHWmVXSBG223bZw79mqrDfsnof 3U1eCn9ts3rw6tYZwpOsk38fbZElPNLdxKCuSY5wsQPDTpZtkSt83GnjsNdm r4Sttl4pltw2T/jN2gzPkJ/yhd2WGo242aVAuOd8qxKnexUKZ81Yc3qf5Wth 5wk+IzcNfiPcaVSK4cKRb4WfD6zpNWnsO+GtffpaD5r8XviHLstKdf71g3B0 +9PeLed+FF7bOn50nYWfhL9tVrVM2eWf//T/8GqQaGU47bm0X+JL9sO5PwVr x2PiE+63cF8Glv1xfXuk/fA87ttQnvsq9D/2R2lftB/s7C9i5/4PdvbnsHMf CDv7W9i5H4Sd/SHs3BfCzv4KduoTO/XF+AFT/9Qv9U99MX7AjB/UL/7cT8PO /TR+n/Ge96M8v8f4z/9D7rfpzze0+/1/6/0h9P5b93+YT7Ezn8LMpzDzKcx8 CjOfwsynMPMpzHwKM5/CzKcw8ynMegX+/3afifOrkCtRxn5vvXRwQOc1O8Lu eui+9H6R9v6O9n5OUfdvirpf07XL+CFZX6n3a3hfC/OqNY6czhFOjDsXVrlM rnDO4d3Dquep7Ny/3ddr+78S9qhUy3lDuzzh/pevDC5wUHnUsv3hb5fmCxs0 6eQ4NVzlymn1q9vcLBC+sMs35GmtQmHWmzDjY1H3aWyyys+c8q/cl2kW/3F4 zTHp0n+16zlnm4u1TqxS76exvpP7W/r1Hcz6DmZ9pz2fLOp+jfY88h/t/oz2 vNW+4tWRzgkuSs3ON6of/lm9PyPrOX19f7U+utuy9eeFDw4ptid4xD7dP/r9 GvoD46/2/tvhRZWr9QoLk/NxJ4cXX6d0DRFmfhT/2Wd89496IvbOwyN1H9Mj hWPbutn4lIgRDrZcOGvwvGfC2vsjxOM8f5apUqfc5lgp37Gcz9bz2+KFt72t keSwN1F4g32JSfFWCcLE8zLf2U69cnV0ktijUpd2sHF/LvxtZNyOXt4pwo0n Pay8Z1qyMPsBMj8ONps6z/aF2Bff65bS8I9xGH5w4ZjFp/svhW93dbxuuSpN mP0EmU/bvK7WfGu62Gt4lHd8GpYhPHX37DSf+Czh8cbWMwxdMoXZj5D5t7Lu ZtyRbLGPvpVWv7ddjrDhlToP2y7LFf60cueWmAjVzn4Gz/NYeNv8YYxa/oS3 pV2jNa+EB/2+0rjKxjzhAbMLEi4lqXb2Q3he4ZSm2zzS1PLv3LwDPm3LFz7s krQww7FA+OCYke2dslU7+yk8r/uwLUmrC9TyvR2qN3q2t1A4Z0OvwHu/vRbO sLy+ffZ71c5+DM9z6pHd4Zdib8TusnLx4vPuKndeeNLkyMm3whYdjZP7llaZ /Ryel/jDYIf2Fd+JPWVWTJCDt8rbp1RauuLie+HNpvY/NammMvtB0v9MLqZU q/VB7OZjujSxua5y7ND5j0fe/ij8rE7azmL1VWY/ieetqlanY7bJJ7Gvt3Rf 1uuByq16RDRtG/RZuFl5y9ToFioXdZ+rqPtZRd23Kur+lPY+1H/2vtKbrsVK rpl8WeG+MvHWzVMDl1uuySjy/g/zE/ttzEfrm7/yiZissnNGqHm0Va6UZz9O 1mPOC/L7nFDXG/1HDrcbsPuVlGe/TtZnxd9+fy1L9Tfwe3b+5tM8Kc9+nqzX Zi+b3+p7lS+0GVPQxqhAyrPfh3109OezbgtVnvFbwg/uEwolXtXONyERMzt9 8+CekuJj06LLu8eyv6W9X6W938Xz41davZ5eQT3PIr5i/QsTP8HESzDxEky8 BBMvwcRLMPESTLwEEy/BxEsw8RJMvAQTL8HES1q92vtdMHph9MLohdELoxdG L4xeGL0wemH0wuiF0QujF+b/zf1+mPv91AfM+ol4mfgbJv6Gib9h/IlH8Yfx h/GHJV9MH7/iD+MP4w/jT7yLP4w/jD+MP/Ex/jD+MP4w/sTT+MP4w/jD+BN/ 4Q/jD+MP40/8jj+MP4w/jD/xHf4w/jD+MP7sF+AP4w/jD+NP/Ig/jD+MP4w/ 8SX+MP4w5Yk/KQ9jJx4l3iVeknxbTX6yNl9Wa+d+vuTXafIV5fxEHx/J+Zr+ fWDiG5j60NqZP3ke8yP1AfP7zIfUB8zvM//x/ow36GO8wQ5j144/6Of3eH/e T1sf/H94X/4/7EeSb0s+au6gXndT57yS/FUPnb+h9fk8WY+Q/4i/Nr+U+ZZ8 135lyyYbV8uT/FgDu60mTsPzZX2EPp6nzd9kP5zzFn4fuza/nefBzGe8P+cv tDct83zqG32sL+T8Rc/8P4lXscPYiTflfEfP2IkfscPYiQexw9iJ77DD2InX sMPYib9kf0PP2ImnsMPYiY+ww9iJd7DD2IlfsMPYiUeww9iJL7DDsj7Rtz/a E+0bpr3C9AeY/gyTny35Zvr8bJjxhP0zxhvJd9G3X85LYPLT8Wd/DX/Jd9GX 5zwFJp8df/bf8Jf8Fn15zltg8t/xZ38Of8ln0ZfnPAYmXx5/9u/wl/wVfXnO a2DOdyW/Xb+fJ/nt5Kvoy3OeA3Peiz/70/hLvoq+POctMOc98j0N/X6hfN+B /BV9ec7HYM6P8We/G3/teRvnOfL/158f4c9+JP4w5TmPgzmPZrzTnj+z/oQl 35T8dvJN9Sz5pnqWfFM9S76pnllfwZJPqmfWPzDrGfSyPqE/JZgVn9Jxszof Mz8z38H0R4uU2/Z2pup9POJDxnP2NyekLm8yY/cDmW+Ib7AT38DENzDxDUx8 AxPfwMQ3MPENTHwDE9/AxDcw8Q1MfAMT38DoXxEVtPg373PKf/T7AbK/p38e TPkFxQKbbP0tR8lPd7s6vuUjWX+kVnDNSXN4IusPxtOkdzsMi/vmK9dy+i1d tuO+0jrv103Tnp9Q7iTUPBSe9ED3aPV096dLXileQcVdf8oJ01UqMWNXil+e Yhv7/vHcuOtKqvtY4+h2R3Sj9rvllDxzR0mPqW6eMHnr/3h+///2fP2i8vOL yscvKt8eLu9Y78z4sCzhkSnjWnTckK30jbEc0mWV15/681ijFa/qf/tKabi/ SfqhgLuy3r6y/KZpt6RgnXmOz/4SjdT1dnFXq+So9XlK13HLv+uwJETW38H7 Qr7vV+Op7tPhfGvdlHzl+anHZR5EPZP1uOuCGiWWOlyW8fGKz2+xfeb7quuh L8z3N2rYu8qKCo9kfb7917273L4KlvWo9nsAf+98/6Ly+WHG39qHayRNPnpd 4j3G48n9Zg/bYpMr46/nXN+Z72PUeGJN9GbD403zFavtXhtPTbineJkOSGlw 5qhi0vHt9TYnz+s8v/F8M7xurmKQfuBYqa3eypKPQ2IfdL6gs9p0ranbW51y emHPwqXKAd3mw+WzWk6/KuN13/klRx4ofKAYWVvsPt3H+4u/J+DcMHBk7fOB yqS7+cG2Xjplq81p9wsLA5V4kzVRuSk3FG1+puVkO/9jZw/oJi7cnFlhco7S pvYS32UWt3QfnrzeUSMwV5mU9MFlidMt3d47zQ7VeJKrnG7ms3J6xOk/xRe8 P/FNk/u1fjZpeVP9fhHnD9vr7HXbek/Kr9m+28rw+V1h7fcOaG+M5yUH5eyp cdFTyhtbRS7w+NpDWPt9hP/q/O3U5mGTSl66K/E68dunpPqtHBV1fGU9nOP4 dF3fwIuKW8O3Rxu+PyPxlufXtdwv5Z/VNfNoXcNzjxqPjTl/wOX21ABl0Ne+ SUlTLinBTWeY3BnzUOKxf+v7HHx/4kvz+4nnqN8b/RqfmFstUOrTvP/JVxWv BQlfWlfP43pBqPCKdc9WzzZWmfiP59WdeLhVkw4RYh82MXmQbcVI4fwupz63 aBwtfKXLjKhoqyhh4kW5z9OgzUbHaXFi7+Pw45M5RvHCe1ceNO3fIlF46edl tRvfTBAmvuR5D7Li5xgEJIn9xazia5uaPxduN2bK0+JdU4RrxXa/FxWRLEw8 yvOmPjpe72LSC7HbW/qbxVqmCodbtFp/eeRL4YvXKtjuyk4TJn6V9u45x3/m +3SxNzLdFe00OUN4fp3CNnPmZgkP3RfWoE9plYl3ed6gHvt/2lU2R+zjSp66 495J5TIfY2c7ds9V+7NFYMrKSioTH/M8tx8Mds2s/krsXvmV66zuq/KIjK5+ s6zyhHubtuloXUdl4mmel9NoUmpv43yxGzy3nTt6mMrHozzq9h1dIOxSx9nR vKnKxN88r1O1+51MWhaKfUBo5L12E1Qu9C83v/G018Ip5d6lVfleZeJ1nre9 uOnuz+3fiP3gLQujarNU7nll1gMD27dq/3n3S+fMTioT3/O86Nwd6c+6vxN7 hrebbdZilZ1+D6kfvfK98Lo0X+f7fVVmP4DnmSbkdblg9UHsFocMHz6wV/m5 i7ndxS0fhcMiG2ceGaYy+wc8b1nwcJedoz+JfbPDNGP3nSq32egasGvPZ2GT +5u6rZyg8j/690O+9HsfX/p9jy/9fseXfp/jS7+/8aXf1/h7f0/jS7+HQXnZ b9DbjyyOeenfNUsp0XZzwnmncbrXi1u96FY6R/YbNgxpO2RO3lHZb+D/X6gb +03iQQeJ77GHxSYfWtsmRzkatLZ76TxPXaHB2LxpvjlKSHNb2w2Bj3RTSi2e PS/olRJZP+2At0GEboBJ6cP9a+QrFhvuXllWxk9nMK+TV+XGrxSr7gVGNikh ulK93iYvWpCn9N57u8fFYtd1Wy7N/fh0gbofwPqe+FUb/8PE/zDxP0z8DxP/ w8T/MPE/TPwPE//DxP8w8T9M/A8T/8PE/1p9xCPog9EHow9GH4w+GH0w+mD0 weiD0QejD0YfjD7t94O151fsP2DXnl+xH0F5mPLa/QruV+IP4w/jD+PPfVL8 Yfxh/GHW/9rzB9a/rDdh1ovyvWD9eg9mvQaz3oJZL8n6Wr/egVmvwKw3YNYL MPM9zHwNM9/C/H/l+8d8/1e/nmd+Yn+A+ZD4n/mWeJ/+T/1Rn9rxgN+jv8D0 F5j+AtNfYPoLTH+B6S8w/QWmv8D0F5j+AtNfYPqLtv60/YX9F+qT/sP+K/up jO/kKxHP8j1ZxnPKsx/rvN/e/Uyg6k99Ey9y3sb/g3ia8z7iQd5X7ivpf4/z Sp4n7VVv5/fRz3jI+xNPwrwP+Rsw+Rkw+VMw+VIw+VIw+VIw+VIw+VIw+VIw +VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VIw+VLy/9fn S8HkS8HkS8HkS8GSD6gfH2DaO+Oh3B/Qs9zn0Y+P2GHsjJfYYeyMn9hh7Iyn 2GHZH9SPr7JfoWfsjLfYYeyMv9hh7IzH2GHsjM/YYeyM19hh7Izf2GHRx3m+ vv8y3jBe07/lfqG+PPcHYO4j4M/4jr/cN9SX574BbG06oPujt/niz31D/OX+ IeebiZUmldqvcuW9j9cqndT7h8zPjB/a729L/oaeJX9Dz5K/oWfWC3I+qz// Yn1A/XA+Tf0w/6Gf9QXMeTf1wfyIXpjfp354X8Zzxlt+j/fn/Jz/D8zv8fvU P/78Pu8LU576pzzvx/Oxa/Ph/jr/+/fP/7T5f//f8v3+u88ji8rH+1vPK/+j +XBfen5WVP7cl56vFZVvpz1/+9L8O+15Hf1de5+O9q49z9Oez1Vob/hV4r84 n9PmK2nPJ7X364s6L9Pm72nPz7T5fNrztKLy+4o6b9OerxV1XlTU+VtR52lF 5XNp8w+KOl/703laEedlB7aWs17wVD2P0543avMZ/tbzK/Ih/l7nV39rPuFf 51N/nU/9dT711/nU3+t86r863/av/Nq/8mv/yq/9v5tfK/d3+F7b/7L8T+15 o/b8UHufS5sP+589X5TvgZy0vrKuYL7O0LX3FIdrwWp71Zw//hNibopM "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdlmdsl1UUxs9tS0ultPz/7Z/aQYe0tGVKKbRURESWuOtmWC0qKtqiVvwg JHwxUUzcI+6J4DZR444aFcQVYxw444gjQY17r+fxeRqNH365973v+557znPP Oe/b2DfQ058XEV+BfHAoaAdVYCwYCcpAIxjh61EeS0HW97nWAjKg3Pf4fAlo 9jMZU+FnBkHO87lgvO/NAxNAJVgDzvC90WCS31kAJoKdQavfy3q/YrATqPec fhwHOkGdbedsf4R9ZTy7eD5ko+R/MTOGNvubs61O77UMLAUFYG8wHYwB60Ck iOEYDgfTQDXYy7ZoZwnoALXgGJ9DkWPKOK5ewHMqtB9Z35vj+Hm9EMy3RrNA k+M5wNeM70Aw2/dmWiPGOMP+Mu7dffZltlVpP7ttg7rsFsoJanMleAk0gPXU A/F2YbyatpOeW2F9qMP+tsXnuzxSwwHQD6bYjzqvw8Q/+ZhnH6f7fr39LrZ2 HdZ/vm3Q733A5FDuVFt/6rsKHAx2te12298XTA3l1RHgEFDjd2ptf89Qrpf7 nWrfp67jQrlykM+G13uEaiDj66yfafJY6pjqHEuzz6DMz8z2czX2p8p25thW i/fI2PdVjosxHWb/eG6zvFebY6D/zN/F1nm142fs+4XymHqzXpivzAHmGmuV uckcYR4wByZZ90prtNSa9IVyusj+nmgbvM+aYT6cDJb7veVeL7C2zHue/9Ge F1qPE6xBr+8N89keGf/WUZ+f514r7ANzZJHtU/NjrXu+38mzTiutPfP0eOvH fjPPMTKnFjpuar3AulHLLuvZEKqVoXm3ry8Ez9iPi8E34Cj7X2tfeh0TY2f/ G7Tm7T7PPMdV9B/fC73OvD4T9NhP+sj8n2pf6Sdzqcr2+x0b47oWjEo6W+67 xu8O+prz38BP1vdH8K3P4Hzwnvdd5HMdqseTQjXJXsC+w56TsM8fPhvGf0oo Hyq8X7n96rfPUzynn+PtT4XXBvwMx9We52yHPp/qe7RxIzVMqpsijJeFesky +0EfxmC9Lilfz+b5J+X9a+C8UH3fCsYm1cdb4An7NQFrE5NifgBsDfWp97l/ 0vncxXNJPg+MVUk5fRsYlxT3Q6A4Sa8HQaf76gyMV2A83Xq/a81nJp0B549S p6S+8DAYmVSrm+hjUl/k/nc6J24B2+1/E9YfD9X8x+Cj0H/BDvBFqMaGJ8XG uNjjr/LZMneuCeXPdutCmzmsXxfqbdT+hpD+9ZjfFOpJr4M3Qv2BGmz2+bdh fnsol6n3xpDm94J7QnndgPXHQn3tPsaUlE9ngR9CtbEW/BqqmTd9rnOt6/qQ tiVJulPzTJJ21G005o+E+nJNkr7U9nPwWejb3k2Nk2rvDvtNn98G7zj3+J/1 Zeibf7nzj7n3Nbgo1P9eAeeGvtuss19CtcY6+z5Ua+V4ryKpT70I7g/17EKs DUv635mM8alQb3oBXBLq51vAs+H/lKR8Yi61YHwy1OO+A7+HetClfp/vvgzO CX3D8/F8QVIP/dP6UttpWOsAp4X2b03y4RPwaeibRC2zSXq+CjaE/k24f3OS DzzP2qQzZT42JuXkNnB36FvFfS4I7dWO+dOhWi/FvCypd7PH/BXqMx+AD0Pf 0edC9cBaeD70r8bavz6Ur8zVm0M5yvz82fnEXPobQPzOvw== "]], Polygon[CompressedData[" 1:eJwt1GVsVjEUxvHesQ0JEiTAYBtsyIAt2xi+IcPdhhMgZDgDhiTYBwgSfMHd NbgHvkEynOCaAMHdCRIkAf5Pej78ctr73tu3PT1tTGZ2xqgQ51w/hCIkcC4c g2hHI5b2NmI1NMFCHEJNjMVRnEVrtMdSXLJ2FArw/WpiedTVOPT3EBPRFif1 nGfj7T9K0d5IrIRG2I0FaGnfvMVH9EYk7iOFb8YQk3AC523skriDuzb3KniC R4hAVzzAQ3RBBmIYayuxKpoiB7Pt9yy8wWP7tieOYRXaoA5ycQHtMBrP8Ro9 UEbrYvwdxHg005zo7yImoAVOoTrPsp1fk9Y+C80tB0n8to+YbHPSWp6hm61J e7MIrWyPInl/MzEOjfHS5qS5dMc8zEBDdMJlXEEH27Nf+IlwZOI7fqC/PZuE d+iFGnD8X4ABNPPhH/4ir/PPfuOPjaVnMxHF+8OI6ZbrVPoTbH2fsMT5+uyD yfqfwNee1rfS9kC5H2e5y7XcK4ff8BVhNucpyMM7A4m1sNj+Q2P3xXQU5/ch xPooQfs6saLzzzahbOBrM85yV5r+UMthNO3bztea1pRGv17ga0tr2qK8Bn4v VGNFaF8lxmIwQgN/BnX2NMc1KKgxiDGYhsKBfzcVy5Vn+rWJ5bAORemnESs4 f7Z0JnQWdMamat2Bz5VytlPrCHwtqgYn4oXVRgpu4hY6ozJe2Z5rr1XTc2xO qVYzcy2Hyl1HzLc9Trcx9uOg9sn5M3IOy5y/K7QG5eKafaucKPc3nK9N7YHO 2nHn7xKdufzMfYWtXTkqRH+t5Uo5KEZ/veWiASICvyatRXv2wWpKtaQ7ZS8S A38Wdca+4AhGOl+DOovx/D7c+TO5XfMK/F2hM51A+57zd5HeCQt8zpVr3anJ 9C86fzY05gHn75gsy8lhfHa+FkfgtD1TW2f6qe2R9kZn/r3zd6LuQp3BM87X uGpbd/IG7X3g16479T8lHpxf "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnn8V1MaxzvnENmGsWbPFpIJYxlqUIloL9mKpEjLr01RadEiJJW1kFRo kZT6VWQZMxhjN9Ys2bPvhJI879fzOa/z/ePpc8695977ec49y/v+vtXp2rdd VaxRo8ar9k8y7Wh6k8UJFj+HGjVqmm5qcZlFI6ufaDHUyv80bWwxyMqXWBxv 5eGmp1n83WKkRQuLIy1GW7S0OMpirEUri6MtrrRobXGMxVUWbSz+YXGG3esU i+YWZ0pPtbjOzrW3aGgx2aIDniyutzgdTxY3Rs/heIubuZdymWrR2OJEiy4W J9n92lt0CF5uZnG69GSLjlJ8XGPt21oca3GtRTuL4yzOkq/TLC6SV46dY9HC oqVFJ2kri87S1hbnSttYnCdta9E1uq/zKVd4vECKx25SPHaX0mcDdY5jZ8sX PnrIF8culuKxpxSPvaR47C3FYx8pHrtF99XXol+Fx/5SPA6Q4uNC+aJfFljc bjHd4j7pHRaD1Xd4vFSKx8ukeBwixeNQKR6HSfF4YXRfwy1GVHgcKcXjKCke r5DSZ5NVH20xRTrGYqzFIHkcJ8XjlVI8jpfi8SopHq+W4rFHdF8TLK6t8DhR isfrpKP0fHxdouiuvry+wted8sqxG+UPXzdJ8XWzFF+3SPHVK7qXaRa3Vvi6 TTpR72qifE2XTtI7m6Q+GyRfvL8b5AsfM+WLY7OkeJwtxeNdUjzeLcVjtXlb ZNHE4v7oHudazKvwO1+K33ul+J0hX1PUT5fI40L55vwPFh9YfGixSP2I38VS /D4gxe8SKX6XSvHLojnHdJnF8uBlfK6o8PugFL8PSfH7tK6h7f+ktH0k+NzA 76PS+y0ek+L3X1L8Pi7F77+l+P2PFL/LzOcSi6YWD0T3+5TFfyu8r5Qv5ujD Unw8I194f1PX4P05XUPb56V4f0GK9xeleH9JiveXpXj/vxTvr0jx3t98Pmn6 msXrwct4/kjX0PZZ+cLHKvmiL9+S4v1tKW3fkeL9XSneV0vx/p4U7+9L8f6B FO8fSvHxRkVf7hx9r9ws+rtirDG21lTk8amU6z6T0q+fS8njCyl5fCklj6+k 5PG1lDy+kZLHt1Ly+E5KHht0Pdf9IeW6H5UP/drMfH9s+lPwfZ/yJxZrpeTx i5Q8fpWSx29S8lgnJY/1UvL4XYqP7+WLfj3JnvuqnrdRvshjq+jXc12Ing/X xejKPE7RlTxOju59E/FKzqOmOIY8eDdrlcfm0ZU8akVX8tgiuq5T3q/q/dWI 7gsfW0f3Rb9uE13p179EV/LYNrpy3XbRlTz+KiWP7aXkcUp07ztY7BhLHjtJ yWPL6L7W6z1tqna7aNyR067R8yGP3aRct7uUfmWNZh1mXd5Dx8hpTyk57SUl p72l5FRHSk77SMlpXyk5Ha52nG+unPazOEC5kdPBFrXlt66OMYcOlJLTIcoB 73AMrAK71NcxvB8qxfvfpHg/TL7xsX9Fvx6ke/PsI+QR7/AjzAifwbOwLYwL z8KwTYPzLAwLL8KzMCy8CM/CsPAiPAvDwo3wLMwIv8KPMCO8CD/CsPAZPNtI +cHYJ5g2DM7YsDbMDc/CsPAiPAvDwovnR2fZdsE9wYfwYmZZ6pllqePpDNUz W1PH01mqn6Y+pg5fw9Tw61iNF/b1enpvvJsG6m/6OrNpZlU0Myx6fijM2i0U Hu2hZ8MR8ETmrbE6Rn2QvF6o6zMvDg6FF6lnnoZZM9f2DIVTYcELonN2l1AY t3co/Npfz+GZmb/QgeqXHvKVWbmX8hmo6zNb4yt/A3AsMx+MlRkRJuurc8ND YdwhoTDu0FBYdkQoLDtSvmAdmDF/V3QOhXFHyddo1S+KzsqX4y86m16jXMfq Xplxx4XCphPlD+8TQuHd8aEw+mV63iRdM0bjZUoorMx987dQJ3marGsyf+f6 KJ3Pezl7Yd6z3w2Fa2HH3tG5dqr8wYfTQuHaW0Ph2ttC4drbQ+Ha6Xr2DNXx cqfq5DFTdQIGuz8UdqSeuXZ2KFxLHZ6FZefIE0w4NxSWnRcKy86XpwWq5++l BfK0UPUZej71zNl4yZw9KxSWzf7grsdCYVkYsW90lq0O7g8eXBYKyy4PhWVX hMKyD8rfStUzO66Uv0dUzyyb67y/50Jh6+zvcfnLLPt4KCxLHYaFX5+UP5jr Kfl7WvXM00/L3zOq4+9Z1Vfq+c+Gwtb4y99O9F/+dropFH59MRR+fSkUfn05 FH6lPiA6v8INeIX3XpPXN1TH65uq43WV6plfV4XCrG+HwoWfh8KF1DOzrg6F Wd8LhVnfD4VZP5C/j1THH3zzsfytUT1z6ppQOPXTUDj1s1AY+p1QuP/5UDj1 y1BY8LdQOPXrUDj1m1A49Vt5/V51vP6gOl5/VB2vsNxPobDpz6Gw6dpQ2PSX UL5DXgiFm78KhU3XhcKm63Vug+qZlTfI60bV8QrLbZRXWI56ZtMgtoDF4LDM qZzLrIw/9kLWdNb+Fsn23eR/W+LvcG9ZPBEKm3KvzKa1YmFKOGySXbfW9Kzo +cB4tCMfuI56ZtNtYmFT6uQJ720VC9uxj2eu3ToWZt0uFo5k368pToPbNhNT 7RwL13JN5tcdlUNttaslfqitZ++h+2bu3DMWfqXdJroHDNcn+lo/NRQ23Uss 1VAcRVtYc389v67qmRfr616c3y8W7qwrfwepzvNh0HryV191fB+sdpl9Mwvv o37MPMrz4C6YEObiPNwJI8+OzpawGzk00DV1dP4wnYM5YToC5oTpuBdsCbsR x6kPOHeMnrm37tFA/VhPvukjmBM2uTs6Q8JosBNs2VbaWOVTo3M8fQVjwKK0 XWx6a/S/1Sy1mB797wydo3+P8d7Ojf5tQ3+fE/17j3nM33nO1HvsFP37k3l9 XnTmbiqPHeSTnFpX9GUb9Sf910L9RN+0Uv/QN21j6Zt26h94FtaHQeD9jsqJ sdNefUN/t1Sf53Y57zOUe0vdi/Pk2kn+T1H+5D4nOmcy15spf3Jvrn7ZQbmS M38zvys605P7PdHfTVcdn633RP+dHX395m87zPtqtYdr+RboGZ3t4Lr5pvOi M9+9UjhurvzxN13K3aPzMO1hxCorL9A1MOIC3RNuXGh6X3Teuk/nYa55uh9r 2mRbl36V1+VqO03X9pY3xsus6GvdTI2lKl0zUDk+qGPs+f2i80q12lO+J3jb AWo/S2XuSd/0U3v6dZT6dpbGKvs0v1vwvce33rDo3135d41LLZoE/wbj24zv ssujt+f44OjtuMeQ6G1OVFvqfMtxv2E6znWXx/JtyblGOj5I9xygPumvsTEi ljF+RfSxyVieGMuYnRR9rjAnro4+9pkr46N+T7G4JfqcZn6Miz6fmAc3RB/f zLMp0cc082ZC9HnTX30Fy9C/1OGF2/S+6H/66U755xjnmkhvV5l73BF9fajS tfDmHTr3hMoz1IbzM3X/vipXaexM0/hhjo6JPu/z3y9Y43nvy3QfuHGpyowB 5lIXBfOL+cLYZw4wdmerDeOkq9q01zp5j9rTjrnDvJ6ja5k7F6hNV+UG88/V feaoDdcyT5hfef4wd/L8ZH71UHm4jtOeOcW8ZH7mtgti+Y6j3EP3W6j+6a1y r4pz12iezpeHLsqZ9XNF9LmK7yN1vKne6WLl9FD0OQmLs35X6/0uUpsmGiuc h3mX6h08qfm+VOVFunaq7kmbanlYpOOLVea5S/ROafOO6Q7Jxx3nV8hzlbxV q2+X6z7L1WaqfNFmmdaWh9SeXPqozXV275+U3xK1eUDP4F6sY/nviXBQd40d +vNku7ZZ8t8Mk2nv5OOip+nFyX+HzH9/5Pod7djOydeLnUz3Sr5uXGTaI/m8 7co9kv8uu6lpVfJn9jJ9QWNySytvkXzt727aLfnvn9uaDku+rvxmMSL5PnSt 6ero+87Q5NzJHPzO9Krke9T2pm9HX+e+Z+wkZ4Efo/cR/fNzdAZlzv0Sfd1n /ebH5InJ97bNTPslH7+PWuybfK343crjk++F6y3GJt87P2NcJ9/rtuE9J18D +pq+pH4ebeUvo++9I638efQ9Fu/fRvc/zspfR9+Tf7CYkHydOsD0XeW+p5V3 Tb5Gv2dxaPJ94n2LgcnXmtrJ3xPvaD/TvZOv449Y7JF8PX/YyrskX+fx/ml0 /32s/GL0ud/fyi9Hn7O1eCfJ5+5uya/nWrzsLj8fWQxKvoZunrwf6cNoGpKv Z4NNX4m+Tq4xHZJ8Dd0k+fhj7NVMPm4YM1+ov+irdRZXJGeXRqYNk/8mz5h6 TePqYDtWL/k+dDxjM/m+0sq0dfJ96EDTusl//29MHyT/PZ8+3j95P49J/jye NTz5WGGcrNb7oA399Lr6qjPjIvn+dA5jKvnv/G1N2yT/vwBnMu6S71tXJh9D jJ+rk48txlV7K3dIvkcydt7Q+OE9vKl3MSr53GBe8G730futk/wd8347Wvn0 5P/voIHpYcn34yNNj0q+D/EeVulddGHsJ///CEeYHp78/0H8ofnD3Nmg+cBc 2Ki5xDzi++8TzcemzIPk+zr3/lD3b85cTL5PfxV9PjAXvtG4Z8wfa3pc0n5v enTy/39R3/SQ5P9H40+dME0a "]], Polygon[CompressedData[" 1:eJwtlNlvl0UUhn+dQwwou0YkLAkIARRFEMpSlgJlaSmFloIttexlp4Wy77KJ LGVxARoJeOU/wQXuCsiNiUuiCaiIimwhxHDD8ry838WT8575ZuabOXPO6bGg oaI+5XK5FdACFkcutxxOMTgWhqK/xJbBXpiKXw5H0CNhEPoLjcNumIxfCofR BTAaPQ7eQw+Ht9A18L6+wdvoefAhegzsQP+DnQA1MB+/Dk6gC6E/+nNsKeyE H+A5nRl7MC+Xq0DPgmP4o+B/aIe/GlsNq9ENUM/cJfgvoTvDZt2XsZnoC+jK 5D2m43+HnZF85074L0JhntdMQX+LrUi+8yL873XP5DPPxr+InZl85wfQgbG1 +gb3oQ3+KmwVdET/ht0I62Eu/iXsrOQYjcT/CjsN3tU8/A3wKedp0B3QX+vc yTH/CVowthA7jzn1+ldY1zH2C7QMx2IbYyvRK6Aiz2u2orfon/iN+NfgcRbL ImjSW8NgnRUmor/Blus94Gd4Jvwvxfx37KPsruPhR0h8n5/8z0b0mvBZlmkO elJ4rxHQFd0l/FZb8Qejh4Vzc2hyLg7B35PlZH54jr5p7HX0Zzo769/BnodX GNuht0zO9RH4+7Kc74nuoRxm/jb8gegBkI/eBXnoK8l76Q534ABjc7DFybn6 RniucvaW3g2/VrUC3dDdw3fRP+aEa0K18AH8p3NrDDsJXkb3Cp9lPPML0MMV g+QzF4ZrTrW2PzlXxoS1cmZCOKaK5QEoCdesavVQcu4Uhb8ph15F94MhyTHS 2xaH5+qNq8M1rVo+rn+Ee4R6Q1NybZSFtWqkMlyjqs2jybVWFV6rmntaa+Fv qrm/YXu4VtQT/lWsw71hos6MfpjF4pOsttqHc1U1prfOhXNTb34O+7xqRnHB /wu7Cf9Mco73CeeEcmE7LMO/rLdJ7om/JteoalN7KDavhXuRYnQQfTd7+xLo jd83vJdqZD/6dvb2yhHl0pvh3qmc2ou+mb21cuRZ/FbhWlCPU69oDSuTe4Z6 W9tw7avHLQ33cPXuk7Aw3EPVOz/K7nodezb5zi/g30uOnXqOelVtOPfUs9R7 FoTXqgdtDveAomyP9eGaVi2fhj9gHWMfJ/ekXegb2Vsph3X2q9jm5DusDfdw 9e7mbO2f2V7aQ7k9KtzrlOPqrUvCd1OPfQKuZL0r "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGe4VtURhT+4sw1qVKSLoAIiKNgLahQjYjAkEkWDgaggKgbxMb2XHzHt hynSm4USjdEQbgTEIBHQS1FBEK7mUgJ4RVFQAhhBKWa9zLqP/FjPzJk9Z5+z z16zZn9fh6Hf7H9v40qlMrlRpVIl261UKl2E06NS2aLASGGK0EbXY2X/LPSW P1RYLL+V7BjZ6UIz+aNkpwot5I+WnSa0lT9O9lGhq/yHZP8mnCR/guxfhHby x8s+Jpwif6Ls48Jp8h+UfVI4Vf5k2SeEM+Q/LDtDOEr+Vtm3hReE54QFwtmK 75PdJjwjzBJmC1WKfyz7rjBXeMpj5yq+X3a7cJH8C4U58p8VnnZuT8UuF/4l /x1hplAtzPc4z7lU45cI//R7zPMcC23J7a7xR2T/LjSSf1B2t1Dje8hdKjzv NS2zZfwLyr/a3/9lYYlzl9uS21fjXxRelL9SeMm5q2zJ7afxa4UV8tcIrzi3 1pbc/hq/XnhV/r+F1c6tsyV3gMa/Krwm/wLZHbLvCxt8D7mDFB8orJW/SVgn rBdGKHZ3ZG69sNHju4SdwmbhA3+benNsinkJx+DaKPMQro02V+HjGHMPzo41 x+DgOHMPro033+AgXOwl/0phkd/vda+hYyQfJ5qTcBAu7jNf4M9+r3u29xdu wlG4+Za5Am/hPjXwnrkJ/45WPPztnjZP5nlP1vi7zzV3nvU9c50LT5/xc2eZ g4zB72o/Fz7O99g8c6yhTmrMLXi90M94zrHD+Qe3+DbkkwcHl/n+Bv7BLTi1 ytcNvF9gDq70muDmcs/bwEvGlvi6IbfW64eDtc5b7T1hbz4buc5/VCUH63zP OvNoY9WnfOWegeZane9f71w4uMnX90Ty8r/yP6xKHYRznwh7vZfMCx/fqEqe 1vt58PRNx4/VHMdYR3n2Bs+Pjv1VdpLQOPIZzIk2onPo3UdVqS/V3tPt3t+m kfdsNQe2eXyv95u9Pk/jZ0Xyi3vg5By/426/G1q51fmM73DON7xu3nWz18a6 Koof8PUe3z/T/FjqfSuRtVrvd9/jnCaRmss78k682zavea9zePePvY+M7fO6 0MUjIr8pzz7g+Xf5nXZ6HXyTt7y+g94D5q4yPw74/eq91rC2HxlZe8RaR+rI dL8P3Kr2/rOPI23Z1wfk32J/i/f6OMfpR029Rzz/ePcbdKqZ52ke6U91rLl1 Df1q4T7aMtKf5lhL56Nrrdxf+d70j93mZxN/Z8Zb+164s99c6BSpZfAPnTzB 60UT27rHY0+0bmLbWjfRynbu5e0jfTSUPtbd/RhdPdnxDpHa2qCb+BM8R3vP OcH3jHc98G4TPd+Zh2kouolmdov0Z7hO0GJ0uHNkXaHLXSLj1BLra+O1MB/z 0nPJ7ezvMNnXkzxfF89DPZ7ueXhmt8O0mzGeP9bfkT0ht6tzWEcnr72j5+ZZ X4/shfRBeuuNkX0TXUbHOTNw9rjY/hzH2btbZXvEp7GLnNPDPnGu0Xrm44yC ps93jHMJsYZr/M85zn3YyxwfHDlGfKHnWWTb0/4V9snHft5xQJ/gvhr7i217 2b/KPrlDIudintsix4iTR4+pseXcw3lmma/x+zhOLvP1ts/5tI99xq9xPqD3 MMdy+yts+9r/kn1yb4+8xif2ZecA+hxzrLL/qm0/+1+xT+4dkdf4xK5zDqC3 MUet/dds+9u/wT65d0Ze46OR50TWN3n0P+aos7/WdoD9m+yTOyzyGp/Y15wD 6JHMQS/A/49jg+zfFcljcond7Diaeqt5CH8Hmz/o9/+qUpPh1xDvNZp0fmT/ gTu3ed/RDzSBMxn7dru//3D9LlkUqeVvyr4QqXnvyf4xsudsk/19ZH9qp/w2 JeuwtWzzkprUQbZ9yfpvJntsyWceI3tkSW06TbZjSS34uXBBSd1oIhsldZE+ yTlhgy3nBnom15wn6PXvyM6K1H9iI5zzEd8kUtM3eYx4leb+JFK3DnJfpI6f o3j3khp0oey5JfXsDb59ZK86T7GfRWrjmfJ/GqlF3HeW7+W+831vD9mLS/bj S2UvKfmb6TLZy0tya6Dsw+buAPkPuh6ukN+z5G+mXrJXldzL62QnuIa3CA9E 9ti7FX8+sje/JPtU5BmHntDBe91XOWMidaeP/FGR2naD/EmR9Xyt/HGRenG1 /N4lf3PA1eHek+G+hpPo6zDznJq707XzPdnPlOxB98p/PbL/vi27NbKX/0A4 vuS7fVd+45J95Nvy90b21u/Ax8ge+r5sdeS551uyuyP79QzZ37oG7tEcT0T2 7RHMHXmW+ZHsiSV7xI/ln1KyB/1QfquSfeQn8juX7Efs7Rkl93c262M9rE14 3HN+H16U7MXw4uyS3HhF/n2RZ62bFZsSqSkrhV/5uy2VXRN5rnqUGixZ51OF W0p+19HCNSVrfaJwfUn9/YB9iDzTjBRejtSG6cKQkloz0HtErXCNpqAn42X7 ldSDycKNJTXgEWFQyT1cIKxyvdRGrp+13y/UR54DF8uujjyP1cguNDfQjN9F 6sZDsjeV1PSx8LqkPj0WeQ/5M2WXRJ7R+QZ3+TusF9ZFnvValOQKPOlUcv/Y O7iw3Xz4Q6Q2oUt3oCWR58cPI7kCT9CbU605g2WnRWo0GtbWOoY2NCqpD78U Xow8o6J5az3/Ro8d+u0guyJ8tpbdEVl3aM+eSP05qST/4B66eLK1cV8k1+F5 HbVTspZ3RtYM9cI+7/Je/0J4N/K827UkX+Hqof+T/J8SerY/UtNKybqipv4U qeNo+K8jtR6dP6pkrVKn6O4R1t5hJfkKV38TqS9oC1re1HoOxzeb59QE9Xbo d0PJuqVm6Qkt3RfgAX2aHo2mborU1aHUfWTPO65kXVFTJ5SsT2qTvnG0e8eT kXVOjf8f5Pyzkw== "]], Polygon[CompressedData[" 1:eJwtlfevVkUQhj85O4CAci1IEBWIoIKhCIgK2ACpCgpSFCmXctEE5B8wlkSN LfaGDWmCVMXEXkATe4lGAXujqQQUERugz5t3fni+eWf223N2Z2f2dJg2d/SV jWq12lVQ4Dp+PoeDYVdVq72KnRK12nhsA7wG0/AnYmfBXHgHKmgKt8IMxidh tzD/aHQbeBJ9PLE58DY0gjo4iLEaLGa8Df4KuEVx2FNZ3wgHKsduhhtgf+UF L8uY9G5i7XjWcbAc3YnYy3AJ/iitC16By/DHYGdCW/Qx4bVpzkvYcfgjsNNh EUzGH1ecg6nhHGjvE6Az/kmwkrmd8d+F9+Bv/KdhFXo1/IFujP0UnoK9lXPQ nLnN4An8Y5UXdBXOxRLNQUdYtyX2IXwAa/H/gWfRQxg/TeuEs9DXYvcxdgq2 Bf4h4WcvJVaHbhnW7ZQD9Npcr878DPxrsP/id8cehn94+L/LiC3HrsyzCewL cCHjA7H10ATdNLxW7ekodGvoUFwD7aXDZ7MC/43iHDXOM96A/Sj31wR7PVzO /6/AfkNsI3ZT5m9B5Vx8VvxfzfkaezcU5RZeL15zZM101FmH330isefhAvyz dbbQCX1CeExn+iJ2DP4Q1T18DJ9krX0PrRg7Mpwb7XErbIOWcCjcVbym5tlT 6pWrldfsmXqdvWoSLi0+uwHEeuUZDkSfCzsrx85HP4g9R2cNw/Dvx/aHvlmr i7M2VbMT8RdiL4bRMBj/Xuzp0Kf42edB7+J39FMuwrWzA78Pum+4Fn7Bn4Vu CJ+F1jwB/bhqAEbqHfiPYIfqXTAinOOpucaLwjlVLgfBKPyHUg/QvlTL0A3d U+sMr0HvVmws+jHlAYYrZ+GenplrGB/u+Rn5H9XOUuyvlWtoKP5z2CmZgzPD e9Zee+DPQa8rPtvZ2G74XWEV/snKY/iOmJ57VK/0D89Vz/RC94TV6K7Eumss PFex3uhTw2Nr8N8v7uHJWbMjwz1Vn2fcRXPDd4vWsAN7u2oM/SdMCt/RDXnG NxXfybqL/1ONYn+AFtkf+7EHoHXxnbsLeyf8VPkOeKv4DtfdrR77Dv1t8V2m Z6zPHM3OnP6sucV3kWp6O7ypuq/cA8/oWVn7ev6P2M25tq2Ve/m2Yq33fYH+ CprlHr8s/mbUZewvPQdawSLlALsXFlaOPZo1otrQHf5w1qRqUT08L2tOtaY7 a0lxD6r39E1bU9zD6l19w+Znjau29Q3Zp3POdyuHC4p7TL2lb8p9xT2pXuwH v8MeOCLXOCj8jdW3VT13B+wsPkudwW70b8V3m+bcU9yz6lXd8Q8U3wHqfd1Z quXh4Xeppv8HEpjvRg== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGW0VkUU/Yh7LvhISR+PhkeJ/lD/2p1L7FgG5jIIeT5AQEpCkJJQusOH dDcIooKggi1pIfAEFKTDvd2bhT/2OvPNnTtzzj5n9sz9ajdv2axF0Uwm06JI JlMMdlWSyawD3gFaRSZzZZrJrET7c+ATYDawFZgLjAI+A2YCI4CzwBtAb+Ab YB4wGvgBWACMBX4CFgLjgK+AOcBIYCewGJgA7AaWABOB74D5wBhgO7AIGA/8 AiwFJgF7gOXAFOAA8BrQBdgPfABMAwoYD/AmcAhoA3QF/gbygG7AEeB1oDtw GmgP9AKOA22BHsBvwDJgMnAUyAfeAvYCK4CpwEmgHdATyIDDDrBvA0XR7gjb ByiOdifYvkAJtFOgP9o5sANhhwA10K4OzEB7AzDdeamGvmzgQ3Mz1vGUQl8W MMi8jnLM88wfeWmE5w2BmkCD0DrvO5/MVWvnapx5YW42Ay3NWxfPs8i5ynfe JpqjJc5JO+dnsnlc5vywPgq9TmfXwnjzXuj8tHIeO3vccvPawfnq6niPOG95 5p557ui8dPecx52ffOelh/1kXnrbn7POc3vn6G2v9YVjZ+1kO0fMTZZ5Y3tW otpvkYhXcvoe2gG70Xkj18Ng302UT+Z4MNplQ9wPcT30sf+bzXsrY5R5aGue 2xmT7HO+c9HWXIxz7G1cG+xjPff0e+2dlzecyzEe29o18Jq55N7pZC6m2reO ftbJ70/x83KheIYm0osC53I1sCZR3ebieS3Xc13X70DzN9Mcfux3ptuXefaH cSxwLORgiWNh7SwyB+RpruMgBwvNA+Ob7xjJ02JzRY7nmGNyufR/3CxzfIxl reP5CFhvP2f6dwv7utoxMtZVbtcOPeO+/jSRVo4wlyvMJflbbg4rYfwmv0u7 wW3ajZ5nun/3d2zjHftsx8N9WjFUuwWOb4u54ZgvPY48fW2O/0m0l7qb4x/N H3ndYc7Ix+/2l9z/bM7I6/fOD3nd5fyQ+232j7z+al6PeL1uzu23zg/52Jeo tpinQ847deBgIi2gPvyZqK7+8piutvzdxZxwjTyPLUwu6Eihc02+/3AeDifS lG62hz1nnn+3Mb9HPfcxt6kp3APF44LmHDOHJxLpDrWGNUrdaWsc93zMNzWI NXbKY7g/WX+n/d4Zt8+fQSe87nnN4thzbvf2HKe87lk/47tFQmtR16gtrA3W SbGQ3vWxL0WsiYynqM+tJBRjX/cV8zznc9PaHCSepzJsSZ9l1MsSPo9qWz/7 JdrzqftZ59RK1nRJj+/vnB9wTtl3kccTWdbh0qEzj320Zaw/1FRq0XDYKqFx HFMn5Ec/Py/nMVVhy/td9l3s/qEeR32mBnBfcU/xfsS9yr1Z3vNw7EbHT//p bxWvS7+qekxj6z/nzPX5Pth8ZNu3+iF9zHFfNffTrwr2rb7fHZDoTK/leXjO 1PQZxOc1PKaWz3yeQdTdbHM4w8/YX+D6aGWOS9nnevZngPNYx7rGvnrW8RyP Gej5cu0P/Wjgc479jexHkxAX5+8gWV6Lc9T3Wk18V+E8Df3uYMfX8H8x5vpM qe53c4zGHv8Yc+Lz+Cn6nCo/jwA9Q/m8Cn15IR1/ELZTSN9T1wxz+hz9TZXP h7gnQnfiBl5riP1sEhf6mtiHF/k7VQ47A6+E7g6nvc+599uE/KAPE9GeELpr N4V9M3TWnIO9KaQDR2CPhvS0H9cPnTFVMcftoX3aFO3LgEvsbx/7fBY2k0pT TqJ9Y0i7iqEvSaUjl6Pv3pBWVOEcqfb/P8ANIc1sDXtpqjPvCbTzXQ9c8+HQ utXRviOkDzlo10ilFyOBUaEzKRd9z4b26lBgWEin6qL/yZA2jAFGh74broX9 JaTtvWF7he4Oz8C2cz0Mgn00pDHk+4pUnA9mvYfO8BOwp0LafTVsV8dbHGNv DmnpNeQ7dO4cgN0XOm9eJcehO8HzobX/20+p4mSMh4GDoXPleChnzNde2N9C Oke/XnY99Ah9d/He0TzEKfn8FXZX6EzjN1lLj2EcLzmW92DvD90xqqXKGfNV mXWXSt9LsPZT1Vw35jykbXfC1kyl8xVgbwudBXyvot9NU9UHa6Noqhpi/ZRB +9bQWVMe7dKpzp5SqdbjWmdCXJPnkui7JVTzHFvW499nLYXuSo3Q90JIX8cB 40P3GPI03FyxBv92HZLLPeaTPP1srn4P1QrrZHcol8xjl9C+4p5i7R9z/c+F nRP6Zr2ec4TuAxthN4S+O2fBzg7de66D/SN0Ts2HXRC6P90N2yyk26yXQtfM ZNgpobvXN7Sh79dtsNtDd6B7YO8La2AqPaIW/Ui/Qt+a+0Nrc93v6EvoTvMl 903oO3Un7I7QdzDr+nLXNv163L5xnae91hbYraF73gzWXej7exPs5tAdjnVR LlVtPBCqOdYba/wv1/l67sXQdzx1qFIqLWKNZKWqE2rY6ZCOrYRdFbprroVd F7pHfgr7WeiuOZA+hv6HWAO7OvSfwXLYZaH/BpbALg3dO6lJd4V0ifu4SKq9 PA3tqaH/J6hJ2al0ifUYqWryUCj3zPsi2IWh/y0KYKeH7qz/AniBYCQ= "]], Polygon[CompressedData[" 1:eJwtlfnTUGMUx2/pObdCUu/7Kg2pbGlQUUj5D0RGI8qgUdSM3pFQtMnbqsXa pE2LCi3SXtrQShQtSoqkvWQZsjX5fH3vD595Ps9dz32ec85t0Ln8nh6Vsyyr gCqwLLJsJexLWTYVFuJLYS8+BW7AJ8A2fD58jG+AA/h0aJBnWUfmn+HB+CXs hCPMZ8JY/A4ox7fCXvw7OIG/A7vwb+AYPgua4lPgK/wDeBNvD+Px92Gj3gUH 8bdhPD5Z78UnwBbFCofwGbAK/0jvxKfB8/jLsKX4nufwxnzDxYx1oB88oW/U t8JwfCD0SD72NP4KfI6XMt4L42BTcowj8VGwOfnYGPw+2Jj8znJ8EHyCr4ah +FOwFl8PvfC+ijn5WH98QPjbFUO78Dcodq3pVPwtmJi8Zs/gN/I99RjnMO/J eD+sw9dAb7wp5y9nnMv8WcZGzKsxlkEFDA7H1h8mhtdYa6sc2I+3gXeT9/B2 /Gs4iq/UnuE3w2J8D7TAl8O3+BL4Ff9N4IPgWt79OPNaUBOuY96NsXZxbE14 D7V3+2FFOGeVq3pmS8UaPrcUbtHawvf4MlgXzlnlqo4ptkXKueQYu+NNcu/1 PGiIP8yx6lAVRofXqKzI8eac71ys7ZWMzZg/yDhb9zJexbwLYw24AIaEc6a0 2IMHwjUTRQ69qNyCkiInLtXewXnMRzCvj18BiflLeifeB7+kiHG29kI1oFqC ZvgM2IEvgC/CNaFa+BG2FzWq2jwM+8I1qVo8Dqfwn+AX/AW4TXGG710BrVSb 4Xs/hNba2/C9q5JjmaucSI5JuTkdtifnaHP8vXCsC+EofgxO4wPhJH4i7Iph cbgnqRdpz+bj85Tz+G7YHO4J6gU/6B7853DsyrGbVDvhaxfBEcWumkp+562q 3fC9y/UM/EA490/BQX172HWP9uqNcC8rKWJZEM51xaTaa8t8VHINKjeGhWtb OdKpyJmGxTUjwj1W9awesTW8xlpb9TD1gifDtaue8FA4R5WbqtkO4RrX+bqM j4RzVLk5hmOvM74Wzm31pMfCNadaU8/7NLzH2lv11LXhGlLt/N8zwzmlXNIe zgmvqdZSe7wkXOOqbf0zdoR7gnqB/gGzwnuuvd6pnAnXrGpV/5xJ4Z6vXq8e viecU8ol/RPWh/dIe6N/jnrXXcW3qYc9WtScau1C5YFyOfyuSZBx7hzzCvwv +Bc/C2eSj53B/4TfVYvwD/532HVN4v4qMFjn9E78sty1qZqshFfO/WxdcyfH rs+9F9qTa3L/Y/RvUU+4G7qGe++rEJzPcz97CJTiZVCJa4Yzn1l8k75FNf2H Yg33TsW8O/wP1b9TPbi6ennuZ52Fi/AaMBQ/BzX1r8vtw+B8rV3ua3VNXbxO 7nerB5XgtXNfq5jUe67OvdbqQf8Ba5Izpw== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{27, 1, 5, 252, 243, 244, 242, 246, 245, 123, 248, 249, 247, 251, 250, 124, 254, 255, 253, 257, 256, 125, 202, 304, 179, 241, 146, 239, 145, 240, 178, 196, 144, 177, 143, 308, 307, 122, 237, 238, 234, 236, 235, 121, 231, 232, 228, 230, 229, 120, 226, 227, 223, 225, 224, 233, 88, 27}], Line[CompressedData[" 1:eJwt0tky13Ecx+G/taxRFJLspZKpGSR30SW4AO6ASpF1zGgTZV+ydmBJWaKx NJUtkSzX4jlw8Jrn833/Tn8ZZRWPyoMCgUCLXmpNUzpvfMVzfM0IfmY03zGK 7YzhLOPZwTi+50V+4WV+YCI7eYVfeZVdTGE3UznHdPbwOnuZwXlms59ZHGAO v/EGh5jLj7zJJd7lKPM5xgKe8EjHalaJrVQPVevdpAl90rh+aFn3fP/O+zzk f91x31aNu1HDyvMe4S0Ocl0LeuC9yAP9U58ybc+5rz39VZrtmp65G7SrP0q2 JanaXa8dbSvBdklP3XXa0qYu2GL1xP1CG/qtNkXaH7OYM3yrab1Rka1QVe4w hitYoQpRpX1Fq5rUL7Xq59m/cwpC8EVp "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{317, 316, 320, 799, 790, 791, 789, 793, 792, 700, 795, 796, 794, 798, 797, 701, 801, 802, 800, 804, 803, 702, 765, 907, 754, 788, 732, 786, 731, 787, 699, 319, 318, 317}], Line[CompressedData[" 1:eJwl02dXj2EAx/H739/ejlfgEA2pJHsmK0TZRGSPSmQme+Ugz7yC3oHnRvYm s2NEVjJPNgef+3jwOd/r+j297rtrQXFuUSQIgofkO+SQERMEV1kRDYKVLGU5 y7hiX6xLWMgiCrhsz9cF5DGfeVyyz9G5zGQ2s7hon64zyGUaU7lgn6I5TGIy 2Zy3T9CJjCOL8Zyzj9GxjGI0mZy1j9QMhjGC4ZyxD9GhDGQwg6i299cB9KUf 6Zy299E0kkklhVP2XppEPIkkcMLeU+OI5ZF7D32sh/QwASfde+sTjWgMd5yv scp5NVGacdd2nULnIprTgnu2GxQ7r6Elrbhvu0mJ81pa04a23LKv0zptp+35 7HxEm/QPT1nvXq+l+kwfUMMG9410oCNfbZX6Rf/ynM3uL3WTvtBabrPFvYxO dOa77ah+03J9pVv1tW7TH7pDG3S7vtGd+lN3a6Pu0re6R3/pPn2ne/W97tff WqEf9IB+1IP6SbPoTmz4TuHbEUc8CSSG70xS+F4kk0Jq+F2QRje6EKXJ/1NP DdUcp4pjVFBGYeT/v/YPhDBrRg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1GWUVHUAxuELS6o0gnRLp3SjSKp0S4ciCNIdCggCkrvL0t3dIiXdICUl oHR397OHD8/87v/9cOfcOTOTrln76u2iBEGQyUucaEEwOiQIjupOrnGVKyyl RfQgGKa7WMYxdvMjZ/iX0/zOTUZwi+XcYSS3GcVdVtDSPU/pz5R1/SVl+ILP 6W8vqaUoRgmK089eRItSkMIUojT5It/Hc6xkLevZzDZ2sY9Dkc/JCc5wngtc 4jGD3WMJi9nGD+77qw5lIW2dF+kCttLaeZD+xjzaOM/XIxzmr8jPybZFdzCX 750H6t+0cv0dzZnj3FRnazPdrE10ljbSmdpYN2lDnaENdLp+qxu1vk7TujpV 6+kGraNTtJZO1tq6XmvqJK2uE7WG/qnVdIJW0fFaVdfpNxqhX+k4/Vr/0Moa rhU1TCvpWq2goVpOx2p5XaP7GcPZyO8el1nJPvbyC+f5j3Nc4H8GcIh/WM1x DnCQVVznBn3ZQ3uGsJ1LXGQ4JzlBO+7zgHs84iE/8YSnPOY5z+jAS17xgje8 piOBZ4vCW9chGpVOrqNrDKIRi5h0tn+gHxKbOHxEF3s8jU9cEpKArvbE+jGJ SEoSutmTaXI+ISUp6G5PrWlIRTrS0sOeQTOSnk/JRE97Fs1KZrKTjV72nJqL HOQhN73t+fQz8lKA/PSxL/U7msZUpjCZSUxkAuOJYBzhhBHKWMaEvP8/egdP zJ4/ "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0sdfD3Acx/Fv0i9kJdnEP0CSPbKzLrm4+wPK3aNDpUsduHCgjMzslZRC Cdl7RPaMkIyy0tPD4fl4fR/v0+fwHbU8a2lmVAihisKYELIpZXokhMc84SGP aGQaDTzgLve5x1Ruc4cb3OImU7jGdS5zlStM5iKXOM8F6pnEWc5RSx1nmMhp aqjmFCeZwAmqOE4lFYznGOUcoYyjpHKIw+znIAcYx172UcoedpPCTnaxjR1s ZywlbGUTW9hMMsVsZD1FbGA0BRSyjNWsYSUZjCGHGaxjLZnkkUvWv9tjQ1ih +awijWc85ykvecFMXvOGVzTxllm8p5l3fOQDs2nhM5/4Qitz+MZ3vtJOG3P5 yS9+8IffzOMvwZ0d2kWjmO/dVWOIJpYI6fbu2oNu9CSOBfbe2odexNOXhfYE 7U8/BpDIIvsgHcxAhjKExfbhOoJhjCSJJZH/f70T8yVssg== "]], Line[{1616, 1426, 1430, 1431, 1432, 1433, 1555, 1641, 1834, 1640, 1832, 1639, 1833, 1658, 1831, 1637, 1829, 1636, 1830, 1657, 1828, 1632, 1826, 1631, 1827, 1655, 1678, 1627, 1825, 1626, 1681, 1653, 1670, 1625, 1650, 1624, 1838, 1837, 1613, 1836, 1649, 1660, 1652, 1845, 1651, 1671, 1672, 1629, 1841, 1628, 1618, 1614, 1839, 1654, 1630, 1634, 1842, 1633, 1619, 1615, 1840, 1656, 1635, 1638, 1616}], Line[{1676, 1480, 1580, 1688, 1620, 1687, 1621, 1689, 1643, 1843, 1644, 1663, 1662, 1581, 1664, 1673, 1645, 1661, 1622, 1835, 1642, 1682, 1683, 1684, 1677, 1676}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.17499999999999982` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.17499999999999982` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVte2t9EYFezYG0pUYsGe2IIsNcYWUOy9Y42ixq4kdmMsERsqGsXe sGGvL6ISRECpIqAoTXoXu37nG+N95r5jO87geHMzvnO/k7/e8Yy55t77t/dq c601X8sx0/qMK2xiYtKymInJ//1dvPB9E4sVUYbRN5cZhtucUp2vO4Wd6h8i XKbw9Rcr7XyEB1ksMD99/pAw/kO6Pory6ugt/jD+MP6wT0KhR8Niz6oix18+ 6DPOXw2b6m5pet9PGPtAU7PJP3YOETuM3fpq5YnfDIgQO5ySOzJlxtYwYcoX mlZvfJGJj6Q8THmY8qkuVT0TbZ5KeRh7/8m1m9+9HSd2GLvh2y9PneyZKHYY e4OaTZpufpAkdhj7pvyvTswblapid7ZaOmHqA8PjOXtKNR27TdkZ7HvnLQwU 5nvAB34dZtOy3VXhr47/eqh46Y2q6euUh7/2/UPVPlXWd4e7tzD2tKafpa67 cl/ZVdzW/sqiILHD2CnvHVs2eUBAmNhh7K5bLJ7ViokUntLNOiEpK0bY/d3O 7EFLYsUfO98Dxk55/M0e7Jve3ixB7DD2WaeOZlpueib8+NfTTkVrpAh3G3sx PWV/mrwP7Lx/7NRv3if1G6Z+w/jr36++vuvfL3bKU9+xw9j19V3//qnPMPWX 68HYqb/YYezUX5j6ClNfeZ/wjiJvN7muCVEukQM3Hnd7opzXT/5p8Mh1hiqW aUsb9D8o9pJz1h2JXxWqPtu3oZVfuWsqwyM/4HThNCl/q3b8kAN+t6T83p0r G5qYBAu/PjOi3MY62vN62him3GucKfzu3jeNhyenq+Zr3SI6zX9osD5xtL/1 9Olq0/HgRmtHhwk/DzRbFNY9SPjEkxX72zv6CdPe4Bl18nvc/8pbeKK/f+xt s7PCtEezBruvZI68LPUFRl+rORuuWfU8JxwT5XHp4gyDtH/Kw/Sn6OH9oAem v8Afxh+9lEcvjF4YPfijHzv69d/LaeWHAa0zAqV+0T9Qf2HKd+kaFVQr5qnU J9oz7Qd+/f3EQMOzQFXtddK9pKxEVb53fNGYcUfU3qoLStXtmi7vk/EL5vlh vhf3o35f/y1iVp+LPmp5SGbPgPnJYqe/4Xlgnsdx3TiXOR4J8jyDVr6zc12T If2Jzy+GtEV2Cbb0JzD1A6Z82TbjrZPG+Uj/A1Mepv+BeT449MsMj8E3Q6S/ GZRcqkOb78Okf+F7PGmU1HSgV6iyfuPWKa1cmPQX0SbX+rdwDPlo/PMOan03 8G2S2r9xl0Wl0je18Wu5ZYjfak9pf+1G/Li1hQpTBz+vfMyvVIiq5Nn2p4p1 w9TYbleGN676VEV0W2MxIzhEfde1R4llbePUxNbfTa0y+4zafMz8ZcWAdFUi bl3SoKbbVX2PScPr9M5UzjdW3pzX4YFtmeURnhmTVwtH9k8dNdN3j3Bo1IbA JZsvCHeY43F4eKNratXM0rUmF9ulUqvkd2s73kfsfu4z7ne45Ku6JZ/Y/s46 wiB2h+uTg46HC1cZZLu49pt7wouthn/h+9ZfY2P7gdtdae+2po1BuOyghY8j v7kk3K9y7e3TLG/I86R1K/Tij1q3Pnq+XdGGaZ7F7wu3W9Zl/CSnIJXoW8uq ntd9Ke85umz/3ir4I/9Z6wOmLqwWJly2VT/HFovDhbt1ivqhs3WkcHzS6DFv NkQJWzxPmlTKNkb4UUDrZrG9nwi/6vumZeqXscJdD9me9ImMlfo162HxAJui T1QnS/vyPXdq4z3lxzYufObeqXjh04u/a3JsbIKqNv7yvsMuwepIj4vpF89p 9oCipi3Otn0mXH2I3fH1ac/Uzuhp05tl3FPPRr4bsaaqZm/9pMzpbd7Jwita 9rWeNTtFeM+lSs1++j5NOLPkkGOD3qcp95bhrZ4P+kPmC/l7hrk2SDCojtb2 XTzbpUn7G7bzXpMX7ukq+GHpkf6Xrsp84qvNC4vMr5lwnfkC15f+ycjSPxmZ 9grTXmHmA6sM38eke2vzAezMB2DaM0x7hhnv626/E+P37L6M//TfbibLg/vf TpDy9Jewfj5QslqhMsMXpaqdqRGGdjduq4isLf3fbU1RkwdfjNiy8abqP9hg U+ibVE1fWtr+mKdHVYuztRcViT/9Uf2dVPTHpzs++KnVc3+qdLJfmDJvMGb+ 3akhqvisJW+3FQpXy1/Pu+FcIUIlXV5X7ZZPmMrbU+rKgZQwdbTei9EH0sNU 58wIzwm/P1K2l78wC/pH/XNa/13bLekxKv+7ro9tqt9Vu/eHFW8bp+l5nj42 eO6hm6rJlQsDTC7vMeifh/kc4wl2mX/pyjM+rjYbfbehZ7DMBx0qF69Z9ssQ Zbmv3OLkkXfU+59/b7XYIUSNunTbYnc9P+W1tESdUXtCZT5eOnNEodc+oSpw p2nsUZsg1SImbsm+fqEyX17aPb+J49sQtbXmxOX7TOJUsyYL72/8R3/AeFX7 7r6FdubB6uQkKw/31glSP0PdXk2wD80Qdnm8fEbvXzKF6c+ZjzBe9Sx5NWVS 3ENDsz/WdDP0d7etUHK+T/UyGs9pfLrquBehwqca57U/czdMmPkJ1zPvZb3h 7ZkgsUf0TJ5yIua+8I9POi3OXH9HOOWJr++aNneF6X9h5i9c36NO22kWpjfF 3qrOGaulo24IZ9zt4tZgjKdwrH+fRmPOnBPmfch8zvh9t5Xd4HG32BmtPbkP SDCN9pL3xXhcrenKyqtuR0p9OWr2LK1LxVBh3gflH8/Iv1bNNVjskW4nrM7c /UMYfZTvPCnAd0jALbEvXWITOPrMcWHaJ+WHVI5rd+7JBamvLqEnc6Id7gij l/qHvt19FwWa3g0QNjvvk+G6IVj6C65fv+gGh697+WvXzxlSvWy1ULWue27z q+0DlZXjg0CfcaHqiteEpQvf3pP76fuz/cPsE+xfaP3f44mhaSP3PZDyzCex LygzNK6S6UPhs9VjU+qfi1bxv80xD6wYLvNP752nRn1vFq7GTOmcN+z3CDVk 3dqFFSuHq9eZ8S7mLpGqn6fznrEvw9Qt5/03XjV6pJxcRh1ZWSFcpYWvOrHV Okrurx/PenpPfBpT7bHwd8/m5s2LeyLlaa/YN7S7Mq2fq9Y/n/T6eebwKXGq y6q5Ne7uCFNnVe5At9wYtSDRftX2l6HqwfEhnSs7PVXvgyp0rro6VNkWOdIn q3GsXJ/2zvXelPfOaFNLGz+ruq3I6fg8QbkuyH1W/0OwahJy3esXm3jxZ75N +XHpvlNrHk4UXjZz7Qyrn5PUj8scip27FCjz8wEtztjV3nRfXbWsdS1va6Kq tDhq0PvNd9WN4IotKl5KUhcXrh+/yzVA3ZgRmv5loSRtfDSOr1z/ns+9tELN tfE63W5TllmxVCnP+Iq9rXv4D4mX/st4YuU2LXP9P/qr0M+OtiwaLvHz0lq9 it7M0dZ/4s8PWmLS/q7M/927Bzyp2WeLtPcLa9q1nVttsbDVLdP9lQ1haqLD 0pu+Z8NUj93pnpV/9lUjH7r4l/FKVtFeZoEXnnmrvlev9lz4Q6oaNWnm9ull gtSd3+edTm6UqIYtsFyjrHdJvFot5vebCyp7qK999h2Mn56hzs5b7PQq44g6 6TwhNd4lQ+aT34UkN0vpfdFAfAATH8DEBzD+vrX8Y6s0chF/GH8Yf5j5G/MR q9OZ38b4PBJufsHQ0+pNrPC9Lb+8iTZ/Jjx1Vq/DmxqmCpfoW7l/j06ZwmHb MhebHM8Wrruq74Ooi7nCM+deaHzh1nNh7/HVl2+8/0K43IBFkVOjXwmP+i6u WfekN8Inv+r6S928d8If6hx79OHDB2H0Mb9CH4w+GH0w+mD0weiD0QejD0Yf jD4YfTD6YPTp9VD/0QOjB0YPjB4YPTB6YPTA6IHRA6MHRg+MHhg9tF/0wOiB 0QOjB0YPjB4YPTB6YPTA6IHRA6NHvx7N/Bx9MPpg9MHog9EHow9GH4w+GH0w +mD0weiD0Qejj3gDfTD6YPTB6IPRB6MPRh+MPhh9MPpg9MHog9EHo494CX0w +mD0weiD0QejT+Izoz4YfTD6YPTB6IPRB6MPRh/jI/pg9MHog9EHow9GH4w+ GH0w+mD0weiD0QejT78fQ/yKXhi9MHph9MLohdELoxdGL4xeGL0wemH0wuiF 0QuzXkE8h34Y/TD6ZT3dqB9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6z/az DK/dNkv0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPon3dhfcdNP 2aIfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0W/RpH7/z71zRD+M fhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+jP8Tt2Oa5RfNEP4x+GP0w +mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6N/VbGmock9not+GP0w+mH0w+iH 0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRr/tLM/yw9bni34Y/TD6YfTD6IfRD6Mf Rj+Mfhj9MPph9MPoh9EPox9eFfzl1vonH8r6a+wfQ1/2yHwivPhgnQOFiiUI W6xI7X3RIln46tgz751apQs33nMtzPxQlrCzi6V1hmeOsP+iFUvvXM8TrjYt OWK/X77w5BH2TReHvxS+aH96xdDY18LF21eMbpXxVnig9fwW5q/fC6MPRh/r ZzDrXbD+vAXrNzDrMdQPmPVD2d8wrneXLhH3fHBUlvCtueO/9q+VIzwvPnmW rWOucJPeU8+eOpwnHHctK/eL9OfC+vqIPuojTH2EqY8w9RGmPsLUR5j6CFMf YeojTH2EqY8w9VH/fWT/xsjEg7x//f6L/vwF4znM+AbT38P0fzD9AfvvbiHZ g5yi78j+d5sOM39T11NU27ibHez3PVBze22uf6fcA+HzUYcPzPF4LPvf7Jej h/Vivh+MnfVP7DB21i+xwzwv++3UR9bT6N9g9uNL5S5eW/x+pqyXt47aOenU MA9Z74LZz5leO7qFZYczwr/NXjLVou1eA+v5lIdZL2P9HjuMnfvDvM+n9Xcc Ou72UN6vXeG9VhvrRMv7IJ7GzvkamPbM+zlVO9ahyMR4+T6B46eUGfp1krwv 5sOcv+H8BCzrq0b9+uel/sLUX+5HfeX5WY+iPOd/qN/cj/4Gpj5yPgh/zovw vJy34H6s71Ge8yjYid+x8764H++D9wXzvMRT6OX5GE/4HvRX8IMba9I/uxIl 3w+mPeFPfw3zfme793W7HBwj5VkP168P/6vnTWhf/+y8CM+Pnf4Wpr+F6W9h +luY/hamv4Xpb2H6W5j+Fqa/helvYcZHOT/zv+z8C/sZwZejLH1enTLA/h2W rg+9fdDwxcqTizZmRsj+WoaF+4nrTpHCJ/fsTlu0/olwxYzKRSr1eipsv3jC 9laH4oXP+Mec8h+fIJw6ommX9OtJwr2PHRq+7Odk4V/bv8jZF54mnPnrNLN2 runCFX6L6dV4bpZwl7M7hr4M13jMT98eLL4sR9h134fTIbEae0459Dbutzzh xI1ji5/M0NhkWIm+Brd8bb9y6R8jVr/W2OH7aUfcDr4UXj6j0blxRV8J72oX 8mG252vh4FHrS3Q0f6O9zwatB/S+/lb4C4fc0TUs3gnbVt3hYe33Xni6Gnjx RYMPwgWdf9Gfb9GfX/nU8yd+JS7bBV/Wzp9QX2xamVfedyJLODbmTGjZ4tnC WXu3DKiYq7GrXesKy+xyhA+Wqer6S+tcYbtLl/s+d9F4iPPOsFcL84RNrGw3 TQjTuGxyrYpTvJ4Ln994I/hh1Xxh5nsw443+vIT+vEtB51X051HoL/Xzpx79 fKotX6adL2M+JeefjPMpmPkUzHyqoPMcBZ2H0e8//tXnXf7q8yX6/c6Uo+12 T2+5XY3cv25/697a+RKZfxnfZ+mV0d86rzwnvKtfoa33B+0w/KefP2H+wnjm 0CGiUPGB4dLfeDnOte5e7NG/fN6C+QXXW/tuwtDZKx+L/weXz74duiNWmPiY 8mMfLRySPSRO7L9Pu5tZ7kyiMPEz5Qtd/bbY4R+fif2bnpt2+vqlCBNfU363 W4mzI1aniv2h9dDui2IzhIm/Kd9+fsioinszteutKPem2j/asZzHMsbnlM84 FlA0MVqzm82e3Tt/Va4w8TvlbXc0H34jSbMPcXx4KGjzc2Hie3mfq7ec2Zmn 2Q/3bf/ew/2FMPE/5aPnvzKdZ6KNVy877em3ykMbr1gfoHzDScNH9S2pjV9d Wnx+bOxFbfxi/YDyCwbdON+kijaeuVpOKqRuaeMZ6wuU9+1ar5RZXW18Sywb MLDafW18+58+T/Op513051f+7HmUpB2Pup+8fUmVar7ez+9zLR46ftW92dbt aQWe16A/Yz2E/mtlg5yzD8Zp7JoW0iraIVvKs14i47Xr7LzuR7Xxx27wwDk9 t+RIedZTZPwu/Krl1QzN38Qn8pzXw1wpz3qLjOfTnGc2aanx+RYjnreweC7l WY/BPiz6g6f7XI0n73761YEx+RIfSn/1iedtlh96Fhz1IFTq0589X8PzPVnk 8GJSSW1/h/iI+RhMfAMT38DENzDxDUx8AxPfwMQ3MPENTHwDE9/AxDcw8Q1M fAOjV39+B0YvjF4YvTB6YfTC6IXRC6MXRi+MXhi9MHph9MLMfzlPjX4YO+er scOM18S7xM8w8bPkTxjjZxh/4kn8Yfxh/GHJLzK2F/xh/GH8YfxpX/jD+MP4 w5KvYIx38Yfxh/GH8Sc+xh/GH8Yfxp/5O/4w/jD+MP70J/jD+MP4w/gTv+MP 4w/jD+NPvI8/jD+MP4w/8Qj+MP4w/jD+xCv4w/jDlCeeoTyMnfiG+In5ueRP 6vJN9fmQers+n03yIY3zb9l/Md4fZv4Mo19vZ7zleoyn6Ie5P+Mn+mHuz3iJ XvpX9NC/wPr8aJ6P++v18r55Ht43+XjZfbreTpqeI/l9Bw1+RYaey5X5CPlr rG+TX8B4zHo+65PYyf/73tQ0wbJ8ruQTmsxZW3fzwDzx53lZD+V+sr9jvB7v BzvPx/o5z4ed+FzWx41Mf058gx3GLvl4xvok+XhGRq/kUxrjG1mvNzLXI57B DmMnfsEOYydewQ5jJz7BDmMnHpH418jYiT+ww9iJN7DD2IkvsMPYiSeww9iJ H7DD2IkXsMP670X7oH5Qf6hf+nxT1iNo75J/YKyfrOfD5Afjz/oQ/pJPYCzP /gPM/hb+xDP4S36BsTz7NTD7Nfizvoe/5AcYy7N+D7MfgD/rLfhLvoCxPPsf MPnQkn9sXI+R/GPyAYzl2e+A2U/Dn/gJf8kHMJYn/xZmf0n+j8C4Xin58pzv N5ZnvxBmvxF/1i/x1+9H6fPF2Z/Bn/Um/GHKs18Esz9I/6HPF5Z8PCNLPh75 xMb5GCz5d+SHkX9nZMm/MzLzGVjy64zMfAPWn9+j/dGe2K/kfTBfIF/7adPC 49uvzpL2p9+/ZDxl/ILJ/7ZJvLlijnW29P+Mh1yPfH+YfHeY8s3b12lrP/W8 jK/MH1gvQ59+vwomnoGJZ2DiGZh4BiaegYlnYOIZmHgGJp6BiWdg4hmYeAYm nvmr8r8pH9+mqenonVlqVlTyw02XA2T+setm3XMdXobL/IP5z+G1rd4nnMxT Bze4vBpg5WeIX9h1y5nZOar+2+k2fWqHGbIefzVzliFXpW2qFFekzA0VExlZ IXD+YVmv/e/mZ6e0u3V78ej7qnaC09Ri9QrO19bnP/9vy9/+f52fXVD+dUH5 1n82vxousanmydGhGcKDE0c1bP9Lpvqt0wKHluGnPuqPvg0dXGKOZY46YWfa r1JbbX4/xW5xr2YlgwyVRs4dfbyGNr8fkLflbcq8XOX8ol/15kHBMt+vlPft xBX2Dw320WWeDR6Rp2r0cbw8r8/H8//DRzu591i/R+YzrHcVlM89asSrwhun Bqn/bn73n83nLihfG5bz3vbXTFLVdYkXGT/eJg2efmVctsQvdcqNb5YdpMUv ntnTp9+vnKcsBk6z35tyzmBWvPfQuKrZavXeEhmNJ12R9zXPJn128uXramqf emWm2ARfLyjfu51h4SnrH4PU5dCDt9f08f4on9RpY6+fTpfcZSge8P5xY8cs tXfept7bp3obztu1bdvDL1sdLP6bKv37bUPpkwFrW5lr66P/LL/bqWW2064H vhK/9qzrZHaihL+6cTu3zq3JxwvM/y5b486tz9J9VIWzVc2dl89SRbwbhnnH 3Ra9BeWH23aand+7gZeM5z838fUq9OKiem/baXia3znDF6alSxQtf1WZn3+5 d+BeT4lHGT/0/zfweZ+srZUveMj7t3SImH2wwsGP6i/595+a30z8xv2vf1/v 6IzygXL9VnbHckpdvSd8cXnNg9eehwj/vDxyyTRLjYn3uF6NsXubWLV9IPYB YxP6zCoVIZzX8fiHhvWihS93nBwV7RAlfLRc5ppDafckPhxwZZR1r6cByq9r Rmdz07Nqwf0iS7znB6phVu0vOIafU4e/9tsV4xikZpeKrOtc21viRzk/U7vF qk0TY+T63V3ahU+3eCK8fdEua7uGscILPzhXq+f1VJj4kuvdyXgy3cQ/TuzP nAov+7JVvHDrEeMfFu6UKFz1cec/oh4kCBOPcr0JAYdrXoh7JvYV9n5NH9sn CYfZNFl5aXCK8IWrJWdtzEwWJn7lep97TPeb+iZV7HWsN0ZvHpcmPLN6fovp MzKE++8Ird29mMbEu1yvz3c7v9lomiX2UZ8fv3XAVuPi7x5P29Q5W/i1TWDi ojIaEx9zPfevTDZOrZgj9lN5Zasv6aHxoLROPk4OucLdrFu0H1pdY+JprpdV xzGpm2We2E3iZ80YNkDjw1EHa/QY9lx4W3XXTa2+1Jj4m+vZlve1rds4X+w9 QyL+aD1G43w/s5n1Jr4QTjR7nVyupcbE61zvt8LWWz60eSn2Xd42FuWdNO5y 2emOyaxXWvt7PbxDuq3GxPdcLzp7fWpk59diTzvtPitjvsabjwTXil70Rnh5 8g1X3x4asx7A9ayf5nY87/BW7DZ7ity9s0Lj+G2t5lxY8044NKJe+r4BGrN+ wPWc7w/ctmHYe7GvdploeWCDxi1Wuflv3PpBuK7vr98uGqPxf9r/L/zV/5/w V//fwaf+f8Gn/l/BX/1/A5SX9Qajfd/8Ryl+nTJUuucAu+bhowxeS8zcmxbL Ulnfm/3ou9lf4uEq6W3upL50kXhd1qs6m3/u3DxLVemUsTrn9U1lsLlkVTPG 1fDsq1MdXnU7bpiz/4eaBkOWWtDaza5FlUDD21ZDp16/k6PaxA4yjWz5wJDU 5PWDUWXy1IhDcQcCO/kY/BvbPFxbO0fFd1xbKMM8xDAhzXBxs5O2vkz7aeNo f6jmmVuyPlDUK3lf8rjb6uXDWslXbZYZIp2vT2g0+6bMb64Hp51c0fuaoUVS vtXNH7NVu7Bqn91fcEcN6LXNMfLdLjU+bkz9kv43pDzx6szhG0o/djuobjnf Kqpu+sn6AfGtfn1Av7/J+2M9QNYXjOsBMOsBMOsBMOsBMOsBMOsBMOsBMOsB MOsBMOsBMOsBMOsBMPqIH9An/wdo1AejD0YfjD4YfTD6YPTB6IPRJ/GOUR+M Phh9+v+L1e9XsT6BXb9fxXoF5WHK69czOJ+HP4w/jD+MP+cT8Yfxh/GHmZ/r 9zuYnzPflf975f9N2S8zzj/l/1+N80eY+R/M/A1m/iX/P2acP8HMf2DmLzDz D5j5A8z4DzN+w3xv/f/VEq8z3hKPM17r84P0+2/6/QV9f6B/n/r+ATvtB6b9 wLQfmPYD035g2g9M+4FpPzDtB6b9wLQfvR59+2F9hPdLe2K9l/Va8kP0+4XY Wd913bniwMlALV+W+sv4wPqy5IcZn4/1c/pvnk/ONxnvx/4mzP24Pvfjeuwf 8vyw5KMYmXwKGH/Wn8mfwL7asG5fm+dPhSNOZL8qXyheuP6u/g6ZJROF56y7 dNCvSpKwj3PNdwfqpghXmLKk75JmacKOQxOODLPJEB58oK5JjbpZwoV+H3DM tGG28OHNqwa8aJoj7LD2cqGEr3OFXy5L8wj+Jk/YfaHFIK+Oz4W7zHT47ETX fOGMyUtP7LB/Iew65uzgX/u+FLYdklhk7uBXwvG9q5xyHPlaeG33HkP7jHuj 7f92dC7a4Ye3wtFtTpxuPOOd8LJmT4ZVn/teuFF98+KmP30QlvwuY/8GU5/5 ntRPvidMf6jvH/Hn+8r/7Rm/r/y/rbH/xB/Gn+9Peb4/TH+LP4w/9YPy1A+Y /hl/GH/qD+WpPzD9Of4w/tQvylO/pL0b+39Z3zEy/tQ/ylP/YMYL/GH8qZ+U p37CjC/4w/hTfylP/YUZj/CH8ad+y3qasX7DjF/4w/hT/ylP/YcZ7/CH8ad9 UJ72ATM+4g/jT/uhPO1H31/Tn9LfM37S38r5UGN5znvAnCfBn/EWfzkvaiyv Px8y1Lpn54BXeeLPeVH85fwo+92xZRyL7tS47PagZcpWOz/KfIn+Wv//zZKP YWTJxzCy5GMYmfmb7Ncb9zuZr/F+OG/D+2E+gn7mezDncXgfzFfQC3N/3g/P y/jK+Mf9eH7O5+jP+zC/mbZ7lsVcj1tqQZK3W3WLeQbK8zw8H98nyMtjhtdm LynPeM34zP15fvTCXI/vR3n0cX/s+nzEf7a/S3z5n7a/q8+3/P8uv/Iv3m8u KB9Svx+t309u17B+jWFTg9W993dbNm/so/7On/z3zp/8s/mLn7pfXFC+46fu JxeUH6nfb/7UfEn6W8YH/X5gQfvXjxs6/hzyX/aniS+trsR177Hc+6P9d31+ S0H7xfp8Sv3+sT6/Ur+fXFC+pX6/uaD9zoL2o/X5KPp8nYL2l//V/WPyeQra L9bnAxW4H/yJ+ZSdjuz+EFjf66P4vs9ki+Fztp82/L2/+/f+7t/7u3/v7/67 7u9+aj703/nOf+c7/5l8Zzmvxf+b/Zvl4360n1zAfrH+/Jw+X/nP7ifL/3kc G3p5+fOZhj+7v6w/D/g/vd/8fwDMxdok "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlllslVUUhffpdEtL4ZbbclsKnSgXKC0VaBEoICggihMoilqUwQlEClbA NzVGiTHOoHHGeZ41+oBznDUOOKIxjnGIQ+IQjUbjWlnLhIcv/7nnP2efvffa Z/+3ZVX/kvVFEfE7KAZLQDcYCapBFRgCDgSzQQGsBWvAUFADsl47AbSDYWCs 92Y9V+M1OTAc1IIOj/luPzDRv+eDLlAPxtkG9y0Ae4EGMAAme00/OAxMAgvB XJ9JvyvBYDDG4yr/HgQqwGawyedOB6M932kf81472PsrbbfKVNu/Nq/h3nne n7fdnGNstS3a+AC8Bw4CR4AeMAocDZaBEnAUmAqawArrkwHjbZP+9QHqVwb2 Bi0+4xDntMNadnvdPtaGPs9xfnOOqWBNe+1rpW21OK6ZXsM4Zzhmzs9yfpmP g72O787m/qS87gC7nd9poNm2b+WZST5tA3+B48ByP0vBzTwz6Ywt1oy1si6k P/PMWmjw7ybnrcS+T7efrT57kP3tdYyjHU+FNehxrtscC+NdBKb4jGbnmnZY 66w11kFyrovMKNuZax1YA/taP2q3FCwGjaEazHu+2DHQ/xtBeZKPWdvIWcNZ zjntn+ozOqw76453aJ7tsqZYW+Whe7LAsbR7P+122r9a53N/r+G9Xui1zAd7 QcF+L3bMvJfznX/m70jHwLo73LmgJgc4rhL7xFiPsW+cO9Hz9HMlWBWqba5b 4bxy7bF7rOF8xu/6rMNyj8v85O9S67TGum0M3T/aof6nWPOhXsM7sdpn0P4G +/q/nyd5nnV6gu2f7Hfl9mulfVjm+YxtV9s+c7zIea4L1XTe+Z1tXwpeyzpk 7cwJ1QDvwGZrzecW2+h2vousRdMe+SvzfKN1S/Yt4zV9joPzm2yXNrvsV721 rrfPvBOTPD7N/nM9+/GZ4FBwGfjTml0CXgvVQREOuS50R1njO0J1ThsDPmMa 5l92ngb8bgS4CHxl++xh7GtZ53at9T3De0b4vA3WLu/Y6pw7jmvt30ZrN+D9 vAfrHVud4+13zOs8T/tXgn9C9Xp8qN6Y67upRdIdeh2cFeodZZjbGepHn4Bz QjU4AfMPOcdVGD8Z6lNtGN9vHT4HX1j/q0NisRZL8bw+1OfYaz92PrOYfyrU L+6kv0l1NBHPRxzLY+AVx3ufz6D982gjqac8YD/ow3g8pyTF/rD9ps+M6Q3H 9TXjSKqFJ8Djzh97+U2hHvw9+C70v+NR+0R/fgA/hnoHvw+3hHreVIyfDt0N 5vWuUG7fZBxJ92UMns+Het+MpFphnbRg/FyoxzVg/GzoLtVh/IxrqAPjF0O9 jOe85bNYa1/azhXg/dB3oAvrXwr101fB1lCtUrdMknbU6gXn8zNwYej7XIP3 w5LqlZrcEdKlGeN7Qv34HdcQY8xj/rZQvVdgXJnUs3aB80NaNGKuKel78A34 NtSjPwUXhL7PH4LL7f+74KNQHxyLfe1JNV2S9P3mt/Ne+0R/GGtnUrzMd845 Z84KSXlj7luT8s98j0zK+Q2hGmV9Tsbz7dA9pQ71SVqwpnY5ln/BVaEezP+n v4X+E/0Cfg19Y8Zh/YOhO/oz+Cn0f6ob8z3gdIz/BttD9/LaUN9hz+FdLE66 j3+AS0P9PWHumlAvr03ylX5Sq+HWizqzN1Fr1k51Uv3wng1Jumu9eM5M6oO3 Wz9qd26ojllX9PHikJ//Ad8G0Uo= "]], Polygon[CompressedData[" 1:eJwt1GdsTlEYwPFzkNaIPWKUqlqlVNFWF7X3KiVFiVKE6ItIbIkZo7H3jE3s VetrJfaKGTMRe+89/k+e58Mv5973Pffcc55xwzIDqdn5nHP9UACf8AGh6IVt KO+da8ZYG7swD+1QFyewEO0Ri5u4hU6oion4aGvFoCRrbWWs5XTNsziHtmiI G5iKgrbGacTzzDjG+qjJ9X7GKLRGPe4PMTZAGxm5P8IYjW52li/obWe6i3tI QDje4xm6Iw1P8RKpCMEd3LazyH6m4xI6IAnzMQst0QXTUJg9DLN3nEEuOtoZ r+Kaxa4UruAyiqOpxXYmmluMi7DWfcbqTtfMkzzwW7bkBZtQlPtExhqoxvUe iQtaYQcq8VsKYwRKc10Gw+2dj/HEYtUV5fivrNe9yZx1UhfcxzOGYQkuIM5i 8txiFmIxzMEcWy+A9Qji+SayN2xBCe6TrQYW4SvS0Qev8A49UVnWZe5O23sL i/0Mi5Xk4ICsw5yRTmPy1mnNxdgaLzABjS2nk+Sa+WOc1qvk5jgaWY4+25xY q5nZclbmj2WsiFO4brUwGifxzfY+Cm/sDLL3HhaLRJ4fbzE5jCivtRptax91 Wvvyjn2SR6+5kxqvw3WE13fLGQ8i0mvtS81Lb+RZLUiPnLc9yV6kJ49ZTgJ2 xu92Btl7XyTxfILX3MseJ+MXBkjeMAV/MQjB2C114DUXUmNSq1W4H+G0Ztfg H7IwFBX4b7vTb0cKinG/2WmtJlvuF9te0i1Xry12krNw5u912vvSY3Od9qD0 XmcscPoNknxJTlfiNwbann9gGfojA8vttww740M8ctq7kXBezyxnHYJQr3Pk Pzmj9OIDe7f0ZCH+3+j0WyI9chFLnfaG1PxPrMJg20N+5q912ktxFqvV9q4s 2/sKZNoZ5FvovcZSvonBXG9w2kvS838sZ0H2zH8mK54d "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncV9MTx7tziPohS7JVlC3Zdz9Lu1SWNtoXPZVU8kQoJJSiPRWljVL2 ypJ+EhUhJVvIvm8hyhbJ8pu3+dzXff6YZ+7cc87MZ86Zc87nfp8aJaWtLrVy 5co953+S6yGur3O5NitXboDry13q+fNml4yOLle51HG7gUt7l2YuZ7sM8vd1 XTd0aefSVG0X+/vGrs93aeNylksTl7bS9Lsgiz60dZC/c1xKNI72Ti7nupzn 0lm6uUsX6RYuHTWOfl31rqVLPQs/3Vwu1LtWLt3lG1w9pMHVU5o8eilPcF3v 0t/lMpdLFJs4vRUbjH2kwXi5/OKvr9510fjuausnH+CaYZFzqeKUqN8A+bjI 5QppcE33/ne4NGBdmGthGSjdR+86CN+VGse7QWoH19XS5DTVIv51LkPKYLlG 7f0Uv53mZV/vX8GlossNyo28hwo3eIdngQ9cI6SJP0zt4LpJmn43qx1co10G C8+YMrhuUTu4+lj0GeUyVu2s1ThpcI2XvtFlgjQYb5UGyyThAO9kafDeJg2u 26WJf4lFzKkudyg+eKdJg3e6NLjqW9TgpS4zhQ9cs6TBNdtlorDMkQbLnWoH 713S9Ltb7WC8x2WK8NxbBtdctYO9oUWfeS73qR2890uD9wHpGS4PSoP3IWnw zpcG1wJpcC2UJo+HpcnjEWnwPioNrkYWWBZpTaidAYo5VnP0uPCS3/+UG9iX CDd4n5QG71j3OYZzx2W0he/nXJ5SDmB/WhrsSzWOthXCDd5npMG7XLnR9rzw gutl+cXfKpfFwvii9BMuG1zednnHZa3iMeYF+WDMGuVDHqs1DvsV+V7m8pLa l8peIEyvygbja9IrFPMF4XrTZaXm4S1p8ii1eP+Gy3q9Y8wHirdWuFcpp/eE D7zvS9PvQ/VlPj4WbnB9qdjE/ETvwPip9OuSFZrvz13WCc9ZFs+fuXyhd/j6 Sv7A+7U0uX6k+MT+RrjfdflWGuzfSYOdM2ur6z9cNmk82DeqnTn4Xpr8fhUO cvpB7xjzi3DTtlk+yLWJBfafXH5WHvTbIh/k8Zs0efytePgG1wbl8Yc0eTS1 8Geuf9c4+m1TO/n9KU0e/8gf+XF/bxLGv9ROvB+FlzWhFtln7DHu/M1qpx7Z c+y3HS1wE397i/yZm/IWmvx2sYhBTjtYvGPMzhb4aKugHMj1PxZ5ksdOFpp+ lSx8kMeuFpo89rKIh+9mFvOxu8seek4u21nMO/h2E38hp8pl2veUJo+95Y/8 9pEGYxW1l9e4fD2pKfYE+2E/3YHkUc0iB3LN7wzO3wMs8iGP6mpnnvaXpq2G 2sF7kPIB78HS4D1budZ0ObBM3nAweBn87BD1BXstzRf5HWGBtarLYXpHrrWl uc8P1TjGHKm+1cT96rvvM1yO0jvyOFqaPI61yJM8znU5zuXMrOBq/3I3f3e8 Bedr6fokCx7YyvXJFryxuesTLDhhC9cnWvDF1q5PseCIbVyfZsEF27o+3SLO +a7/a8EFL3B9qgUnbOf6DAte2N51HQsu2NuCp7bOAhOcEL5I7Dayc86KDdZ2 ssHaXjaYOsgmdkfZxO4kO+ev2IdrvlkPuDbcGQ4Nvq6ar2M0r8wpvuBuOSdF 51wM3TMruGx3jYez9VXs3hrfWe/gf/AsanREVnDHq7KCB/co02+gcPWTX9q4 ry/THBETzprzp0mKh7+ce6KvkO8BGg/vhRN1ywoO3Vu+4J6lWcFTB2UFJyNG Xwv+NzIL3gdnGCO/8Imck6LhgvBlOO5g+WXMdcIyVGNyPjpM2IfLPl+YuimH YRrTX76HZAXHHa45uka4c96Z81D0uKzgtaOzgo9OUDzmb6LiTFQbvm7Rmg3W OHgndXyh1ifnvmPLjMcf9zN3FvcZ9yX3xtfqC6+bkRX89Y6s4K/TNNdwtjny O0NtOU+dnRVcdmZW8NQ7hWG27Al6N0trOFd+c04JB8v56z3CcZ/snKdiT1H7 vKzgrPdnBU/NeeuDast56vys4KkLsoKnLswKnvpwVvDURxQbLrdYsZ+QTWz4 2yJhWSwbHEvUDyxwvaVZwTufygrOukQYl8o+04ITPyZ8yzQGTHCk5YoBR3s+ K3gqbXBe+O5KYaL9OeFapTEL5WNZVvDUVcK6WjaY1sgG00uywbhWNjm8LBt8 r8gGB3wObtffgl+uU7xX1S/nqdhghdO9IXzU5Xphekd2zlnfVE7rZYP1XfUD 63uyc276nrB+IBt88LUPheNj2eD4RHbOTbHBDV/7TPi+kA2OL2WD4yvZOR/F 7mfxfThF+OBvG7KCj36TFfxyozD9IDvnqd8K90bZYN2kfmCCg/wkTL/IJofN 6kcOP8oG66/qB9YtsnMOukXYf5cN1q2ycw66VZi2yc655jZh/Es2Ofwtu6o4 EXwI3P+ojTOLvT01K7gpbflvHAOUG3wLPoevXcSZGF9JnGkHcRi4Ss7bsMGx s+Lunryvy0CL/OFycL6cs2KTP76wyX9H+a6gO3of9asiXgUfOFG8BTlJvAU5 WfykvHBVEY85QePIFX4HzyO/yuJvOR+tbAXfrSRO1Fo+c37MnLIeFYVxb/G5 WsILt6gt3gAng0dMEB9rrLmpLg6Xc9DqineA7F3F47DhmHBNOCdrT/yK8nW8 8ttfcY4WvqpW8OL9hIt6qlBmrWoL907Cko85QjlgHymb9qNk57wTGz4I54Nz wfvgfHAueB8cEc7VweJ3QO7uay1sfo/pKA3/uM31ZJehZXzlvznCM+GWrMEp aseGc8LX8nj0HeV6pOJ1tfiOZb/2sDjfOdtLLL5bmNe9vDb3cLnagkPBV+AU F1p8Q7IPOlv8dsOdc5Fw87vfNIvfbHm+3eLu4OzvZTEGG55b1+I3T3hCHT2D Gz7cUvm1tSKndla0t1efRvI5T2veXOvOPoDHsw+or/NUF+wJOH0z1T48nvpn PrpYnK9NNEfMzy2ub1QM5qabxd4/x+Kbp6beNdX77hbfGHxf3Ox6cJn17KC1 Zs46WZzD09XOWo9w3VP92Ht8a1Hf7Ff2UP4NhM6/pdAHaw17aW4v1lrz7UAM znzONH5Y76e4t1rsvbwvGi55vcVasnbjLLgsv71Pcj3RwhcafjtK7/EJ173G 4puhkT+PV83mdy2a+4rf8K9UH37Hpz/fF8zHpcLGWO7pZ6k7Pa9T3wEay1pd pvfk0ltzfoX64Huc6hCsfCdy1taXH7DybUP7EOXLHhyh+afuB6nPINl8x/aR T3huR61vfeVAP75zmY8bNCcDFbuB9sjNWu9SzQ9cg/jXCwPj6c/37DD1eVZ7 jTqkdjgTaGusNadGO2teh2t+aL9JfeppjVnf+10fk2IPLHPZOcU4vkGmqw6Z y1tVE5MVr7Fi3iZM1Bl7m3Njgvoz//Qfo7wuVo2x73g3Vv1pgxPCoaaoP++H Kt5KzeEk1Rv7iv3AucQ+4wzi/Ml/gzhIPiYLJ/uyRP0nyg9rAd4pitVHbSOz oqZHqR6om2t1bkxQXtTgeK0bczVN60Ud8O3GN9M0tfGO78eZms9Zev/vb+wW baWKNa1MLU2XzxKN7ybfM9UfPUt+qNGeWtvRWgvO2L7C30frNF71M0a5j1Yt cB+0Fjb8ThXGWXou9brYbLEv+/vzzxZ7bopi4ecll+NS3D3VXa+wmLNG/vyO xZl+hD+/aHHuHujPz1qc0w8zrynO8bc1hv7NXJ+dYl9t7/q8FDkd5voFi3P9 aH9eY8FB2vjzE8qxgj+3TbFW57pepHU8JMX/EznvP3L5UXVSx9+/aXG3fO/S N8XZjb+n5PND1/1SnK+/unROUX9bqMMUZ/9vLt1T1Fx91+st7qim/twkxbkC D4ZLwa0+c2mX4s7J+CdnirPhC5eOKe6f01yvs7gD/3J5VOv1p+s5Fnu8fIo5 Yn5OdP2KBT+o5s/7pDjjWJ+1FmtEzE8t4hLnc4tYn7hckOK8wHfVFP67uf7a 4t5r4c8fWJw/zMdiizl536V5ivPuJ9UKdXKK69cs+MeTLu9qLdqn6EefTv78 i8Vd28qfW6c443Zy/bTFWV6SYq6Z564p1oD575li3pnzbS5/WHCZrS6/W9zD D1BrKXhqY9ePWHAO1vZjre8m1Tp13sP1Nxbnx7EpxjP2VeVzqtZhidaiYYo6 poafV41Sn4uUM/ne4/rQFLwEPrWnONUJrh+04IgPsW4pOOJjWm/8V/Z3d1nc HX+7/sdiz1fy93unuMteV61QJ2+opqnnlilyI6/7XI5MwYdWW+wf9s4ZrhdY cKxT/Xm+BTddZbFv2bP3utROwZPquV5owcNeVs1Rb4w7PcXYk1PkQy7kd1KK HFnnDinWuovrLy3Ocr6BdtV30HauU4r75zuXi1LwLGI2SBH38BT5kEutFPjA 9q3Wj7XbYFG71O3jLkstzvmjUtx/3H0H+PM8C154cIp1Yo2+Ej6wzXapkoID vGWxt9nXnBN3W5wVrM9uKdZo3xRj6M/+2097kDgHpYjFfNdNMecbXXqluLOf sTgfORvxvb/OopUW5xdn13KLc5YztobruRZ3E3NWU/P2fzSpJjA= "]], Polygon[CompressedData[" 1:eJwtlOdvjmEUxp8+d2OLESMxQoUQQlCrlNIqWrrfqkpRRWsWQcSIEVvib/DF f9BoI2LvvVftPUJDfLGC35VzPvxyneu57/d5zn3Oud+UqpXFtXEURQlIhr4h ik7xIBXyoT/+DDoCCqAX/gQ6HPKgHmKe1aDZ8A1q8QfQKbCY+C+6CHZDH3wK ZCdF0RL8AuIPaC5UwSH4qeex7WlAf8NCqMMfQZOD/bYE/xVtgdchKuAoNMMv Q/exfgxtjV+DroXBxBfQUVAEB6FNsLWJ7P+HNin2nPNZy4NNSfbOH/DFz64c L8Mw1kvQ0TCVOEf7iSdBJfE7NAfmw7RgNVEttOejvhPs7NOhhvgPOpnv7ULv KheezULToS3x59jW1sFJ6B2sV+rJe9Ux2LdyvTdLYW9sPVItjvtvVZNItYQ9 xNXwFubhKz1n9bLBa6+eLsfXee33K+dgZ9ZZN8Np6BdsVjRD7YnbaZ396/FX NUv4BDoGbsN4fBk6Ds7DoGC9GQmlxM98lnbCRRjCs2LvYQ/inrDRa3YTHYuf KYWzMABf6DPcgbhjsFwy2X9dfcOXomnQmbhTsLUN+C7EXYPFWTzrTtwtWKxv VhN/8t7NiK2WucFqoZo+VO74DHQCtCJuCauIV8NzSOB3qHa885Heg98S28yl Ed/wsyjHRkgK1qutqgHxNc894XehOayI7U6kEl/xWmtG5+DfaA5j6/EveBrb 3dUdm836K82x5gCG4i/5bKvmA/HnvDeFnmuj56KcM/B3fFbV00z8PfU4thnW WV94L3VmzWYxbI9tRl9COX6u53BfdceX+zt0tsfottjOmI6/5bOjnhfgD8d2 97XnNVQEO4vO3OQzrNnVHX8CRcH+O7JUB+IH3it987v3TL1STmWarWC9Ug9L NFvBfqsz/AcKV5Ky "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHvUz1UWxl9++6CL0iQx6WLSRE0zmhqlaFJRmntzv641zaw19xoKEQpJ GTGEEF1GKolSISRvboku1CRSktKUUAqVW/N82s+7vH88a+/vOfvss885z9n7 /H4tLr/ysivqVlVVTapTVVWR/GFUVa0RBurj25JLJLsKO4UewiCho9ovEF6Q /rHQXbhB2Cx0E/oL24WrK+nnE6GncKNQ0bi+kkOFPUIv4SbhM+EaYbCwT+gt 3CzUkX0fyX8JnwvXCkOEovZ+krcI7wnLhKeF+4VJwj3CWOFWYZQw0d/jhC4a +4HkNmGCcFutPmxHC0fIppEwXvpdwu22baa2psJ/pD8jDBdGCHe7n3mOUn9j 4Q7Hcad9TLbEtr76r5McJrworBMWC1M8BtsHhfu8pmmW9LfQ2BOEB6Q/LEy1 7QxLbE9Sf0thuvTHhIdsO9MS29bqbyU8Iv1x4VHbzrHE9jT1f02YJf0JYbZt 51tie7r62whzpTeUPFQYI72T5EWRtouEBUK1sEpYKTwlvOT1LzLf4ND1whbz qJu5NEC4qpJ8G2huwUl4190cg5s9zCW41tMcG2xuwSu41stcgl+9zbEh5tax 0psL9zrWeV43vIWDfXx28K6f+TXWHBplDvH9rLDc/WuEFe7fZr7Am7eFDcLz ldwzxsK9282TO30mj3vfJ5g7d3m+CbaFpxNrzT3RfWuF5+wTPt7tPvzCsZp7 MsXcgteTPcckt9XmH9xib7DHDg5O8/ga/sEtODXT3zW8Zx44+JjXBDdn2G8N L+mb6u8a2zlePxycY7vZPpN55g38WVhJDs73mAXuW1g5wFfGdI7k5QseX23b lbavtr/FHvtKJe/5CJ/fCu/nu8LLlcyPl8jfxcJS6asrmYeGWy6zzj2odgzk LvJfX/NjuX1ju9T2Tzkmxmys5D0hvo6OnfW8Xsm8QbyvCa96zFvCf72GJY6z q/tetR94Ae/GeH2rPe8bXvMIx7Wm1rrXeu2jPZ6xqzw3vrmz3NEBXst6r+dL kfmUXPo/YZPbmX+D/axz3MR8pmzflBzpeDc6ZmJ7x/Ft9XzMRY7Y7DWu9xz4 f9/t/R3Xllq29NXkma22OSjyfjIv+YI8Qg4h12y3jx2VzEHkHWrIh7bv7nZs P7L9QLftsE5u2lk5kK8+rWTO2mZf+Nllm0GWuzxXT4/p4XHo5LiLHTNnt9sx k++4Cx19H8h3e7wm5F7b7PU3ObFeJC/Ja+TJ/W7f729yJfmRvEnOrIrUh/h7 n+epG5lPyZURmTeHehxj8ENb1Mqn2OObfFr8PtjufeR8yVmNXE+pmfVd+xtE 6sPc1sDxb/NZwuFDIvWRbjvY7XCOnAuXx1kfb9nQ+mHWsf1W5Dc6bYfbZrxj G+e93+1zYR31vPZG5j/xU+PO97uqbeTdwAc5t7HfFbwfjrZ+h9vZg7Mkm8SB tqNsA5o6v0+2Tv0CzZ3TeQ+c7FpPfzPbfNk6Ps6O/Ean7RjbNPFczMv4Vs7d U+yfd8hxkbUTe+TxbgcnuGZMsz7dsoX1r1jHtl2kL/ycE9lHO3YtXW+QJ3kt M/yN/lW3Y4u/E62fG9k33fEea5/UNuoWNWem18U7h3W3cwztJU+xf2oQ7yHe ObS1dvsc99FO26n283Xbo3eI/Eb/ZuSbCXvkGcKTlbT9htvn+g7jm3vcxjZt PBZ9luetib21/Z8XOQc+4N2RPjvkWdbZm3O9J3C5rXnIuZ3j/YGDZ5sPcKe9 18v6Ongu6hJ1iBq0wfeEO8I6znMM8B3ek283+w6Qqy/0XaCdPEre557y26Kj 19jX+YI8scljsG9XlD+8zrbSb/b+tpE+yOd9hvTBPr/fwOGS9ayb9MYla1pL yb6+V6dJH2jOnSz9Ot+HfvCq5H4cIdk1sjY2kn5oybxziGT9knf+fMl7I2vX TPZZ3/+W/k+PZ+wpkv3NdfIfeZNcSlxXRcb2K8mDS+a07tKPLll3h0u/oGTt Hcp5leTQH9i3krX0HukPR74jvlMyDmLoIv27Jd8s1AbeJbxJRkpeWPI8O0t2 KrnXU4SLStbV30pvWvIdcJxkr8ic2Fz6NZG59siSe80+t5B+bWSOuxpZ8l3M frzoeJqU9ItP1tcjco31pNctWSfqSO7zHlHv+P1WUzO72A/rudT9K4SnI2v8 WsmXI2vJes4ksh6vlHw2svZ38Vj8jJb8U2R+pu0St/Pm6uQ9Q3b23rJ/naxX +xv9JskzS96VxcJfI99Zlzr+mvciktr9kuSqyDUN4Z6WvEPVwp8j35IDJE8t eUc/Yg8ia/gnkh9H1uqtku9F1qG3JN+IfEPAi/siubFX8tPIevyu8Hbkm+Jy cxfe3sB9KpknegvHl8wTvxYOL1lzb5R+esnccKUwPfLd1lPymJK1tpnk7yLf etdLtiqZX/twz0rmpCuEByPzx22SiyLfo2PYp5LvufaSD0XmBOJ9xzHvl/y5 7w4c+dw8+QXrK/nGGCX9j5FvYu7rYb6zX/DLHLtFuD/ynCslxzP2bz4/zm6Z 5Pci8w/ced78Ydxkj4U7T9Twp+QaiJ8zXOBzhJvPmJ9/8RnTvhDuRP6f0UBj fxn5fiCvHOTc8iPh9cg3Ief/oTmwQ/KnkW82uLDTfFgSuafs5/cll0e+dX9M XJFvlR8Qe+Rb6wPJn0S+Dy+T3Bj5FiUHPBCZBzZF9tGO7Rbbfyb5s8g3HrFs dzwbHDcxw7vd5h48fd9c5Qz3+Bzxsct+NkfGSpzPRa6B+J+UnB/+HSb5SuQd b1gyb5IzZ0vOivyd/Yjk2MjfDuxrKbm35IPXInPC6si9YB+mmdPwmfzawTkW Lj9qPk+V/Efk7xJ8L7V/ePp7c3Wu5LzI3y0zInM3efvv8DGy7q2L/N+N3wjc 1zcj7yw5fpjtyc0jIvPz/wEsCLkA "]], Polygon[CompressedData[" 1:eJwtlWePlkUUhl94zhh2CayuoUgRlyogi8DqAgIaCSvI8sU/oGI0wYItCioq HVxKAOUDSrFQYiOABLsEDUtRURRQUFSwoWhEo/SA1517Plzv3FPeMzNnzjlP 1dh7bxrftFQqTYCA2/kZCweKUulbeBr9DOxB/wi3oDukUqk57SL6a8Nj0oeg Hv0yfIfeDvPDNmVrN6xDrw/rLXAH+jb4Bn0QNqM/hN/Q2+Bm9KvwPXohPInu zv6X0LaDx6EL/Va0rWE1LIDDhe+wAt2H+c60g2FN+E66i/Z8Fn0p8y1pr4Kn 1NLvQ1udbS2CLwvbfAk9iPn+tMNgKXRN3rsWpkBP+h1lF2ZBf/o9aXvBi3B1 su2hMA2uoF8VPuNyrUv+7yCYAX3pd9O94X0YDXs5yxF4AT0g2fYQWBj2qXyp M9/A3Nv0f0b/CkvQr4ffqob2OahiTaXOBbfCtfSvp/2ANSPQw+A6+sPhebgy +SzXwBwYSL9f2CebYDz8wH9/gmXoHslvNRDego3QWPhMjei7YAf6K8WcYkF+ Qf+rmJItmI4+Dl+j98M/hdccVKyF12rNu+gNYVu/wD3od8JaMbQT/TEcRU+B HejtMLnw2Bd6a/gLvUAxi74bjhUeq0l+Q71db+iX/AbyfQ/4DD6HP1k7FaqT fSZfdYGW9FvAPOaa6ZywL7xWd5KvF9PfWtjntckxp1jrC3dqTv8p7LPDiuWw b2bojdFH4CR6Jvyhs8Bp9CzdEf17eE5jx3TX8NxZ+Fu+DevZWoM+pbwoXCD+ k6/Dc+dgF/rTsC915+PoE+E5/Sdx/gsgGJsrG+gm0FSxQ/+M9grbbtCbKVbD d9EdzstWntN/ylV7ZDPswzJ0s2TbGgt0kWxbe/ZOrgHK/U5weXKOKbfaQ7fk GFVstoGJ0I6xsnCNU+7Ozm+tHH4MLmPsonDOKNenZtvKedWiJ7It1STl9vT8 9spx1a7JeW/VMNWahvy2qjnvKe/Cua0YaMX8A4pZxT58hB4Xro2KgTE5p5RL iuFK1t9Hfyf6E9XYcE1WLVZNfQP9Zjg3d0Fb1j+kN0TvL5yboxgbmXNUtWdm jm3VIOX6XNoB4ZyXLybRXhz2ST390cm5IxuqJfOUF4VryitwY3It0jeiU3IN Uu2pgNfCNVm1WDVkT7hm1eQc7Jxcc2vzniPprwx/S+rCta4uuVbJJ0PRQ5Jr mc7cEf1o3qsFPAitk+8uH98vu8m+lg/bJ3+D9O0pz7ExIawVI6vyGeryHSvQ Fybn9nz6D+udk30tHz+Sz6C99c35H2vv8rw= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNV/l3TlcUfRLvvhiKEiQtElNUde4/0XbVFMRUQRKRCAk1C0VRqooQYq45 MY+lWrSqlKggiKFEDTUVNZUKqnuvs7OSH/Y6553v3nPPPeP9GiZkxKaHeJ6X UcHzQkFn+Z73HTAGuOM87zZwEPwcYBwQB4yGbCkwFXwxkAC0By5AVgzsBZ8D fA50AC4BieLPAj2BdsBsYKz23sO+9sBh8E1BmwB1gTpAbWAK5DdArwO/gg8H zQAdCBSCPw7sBn8F9DKwD/xfoLeAA+Cvgl4D9oNv7GzfUKAi+FCgP/gw0AAY RJ1Ad6AtcBKyE8CP4DsBE4DO8gV90lF3GKs7dtDd43TPMfqd68ZLR1dgEvCJ dH0BdAFicE4z4FPaD9wEkoH5WsO1RUAPIJb3ApJ01insOw38BP4o6BFgF/gC IB5oQ/9DdgbYA/4c6HngZ/AXQS8Bv4CfKztp76uQfeWbrw+DLwB2gl8LrARW AA8hiwOO+eY/+nEY+BqgleTP3fQfsM03WZjkg7RnoHJmp3y3E7IfgG8Vp0A6 IwLsAV/BWeyc9JDWEF8ZtIrWh4BWV3z30DfAdvCbgKrgsxhP0EbQ+w1zA7QJ 8LJsrCw9Y0EbQj4N/CHw+bRPOfy9Yr+X/nNWP7MUd8Z/PWTrgI3g84BcYASw lfcDNjOPSIFF4LNZY4rvJu5zZm9b0A3ASPAzgc+Unyshy+UZ4GcAoxTr/awD YAf4WqA1FcsDrGlndvOsbTpvB2XAVvDTgUygNbCdcQO2gF8DupZ2gF8Fmges Z57AN8PB+87yeGK5HP9SeV4ge1lXI6W7m289hDWTqHxm3vUCHklHKpCvOzGP 76tWUnzrLXGqgUL5jLXBPsOaS1C9MA7sO+OU36W1OM8vq2nWGOvrpmTJysU5 OoM+3yq/13eW/9O0vpd00rbefllNL5CtdyTjb+xfC+WjXdLPc5hPOcqlEvms j/Ymy6ZVwGQgzbd+NFd3Wihf018ebHsB2s+3Op+nu+7VHXlX5gRzlzm6RXdj 3mxUDjH2+2Q/73FQceQZ65UfzGHW/3Cgpc6ZIDtZY6wB5hVrOFt+i3Rmfz/d M0exH631jBNrgPnB3GDeZ/ll+ZKpPMjS+ZRNlQ2tfOsT7BfsJ8yfFPk/GvII zRHOFs6AIb7NmMGgA4D/gNXycVvZGyuMlm3LgcWKAc/8WndvI/9xX6j6GXsm Z1e4+jljmqoY1VSMMhQDxqK97jRd9+Id8yRbKr/QJxMV7646c2Y5e7Nlb6bi SLuW+Nbb0uTHLOln/8vTN3vSOp31EuRrtJ62bJA+6lgm+WLpTZMfVsj/pCvF T9a6NPl0teI+Wd/k14hPk72bdad83ZV2NkBvGalZQh3VnO2lDzjbmZOsA849 5vkM/P66MxtaMs5AOvjuoCHQdUV+yZd+5i1nIHOXtch3BGvqY6wfAPQFf0jr 2X8+cqY3XbJDspUz5ANnfjoP/O5b/2EN7VfcDmt9vGJWIFso+016jkjOPvmh MztoQzZorLNcYB1zVrM2j2kP1/fH7/Pkp7dhzyRnMTgJHPetN7amzFncBoNG BjYn04FZzmI8CjQqsPk3AqgX2IyljkLpKZTO7sq5Qt3pFHBaa5jT7MXtZONR 3b1A3/Hy01n56qy+2auLpKuHaJHkZ/Rd+o4s0vncd07yObB1vrO8vuzbnCh9 J5Fnz2ke2FuW/aM5Z6+zWl4C+pqz2r4A/CHb2Of5JmOv76Rv9vxireOai+IT dc5l8W8FNuNZw9d8m3OlM+Oq7GJfaqbedFXrkkSvi7+hb+79U/qTRK/4Ze/s Yvmeb5YWerdwNj3wbQbRNy3kH97plnT+7du84Zp7+u4tGXnOoYHs4XpLLATN UL+4oHNpQw5ks531y2Hsu+q9naWr9A3MHt1Fdj3UWf/om737tuzjuY+1PlV7 7kvfA/Fcz7qfrtqnvXe1lznNvsY+w5w94VveLoDsTfingbN5WyK7eDf2aPbn 5/zNWU3z3emp/1TTO5R8Cd89znIzFPp6OIsP14bo/flCOlnLUc7e1uHqwY0U i+rYm+LMB5wd0fIb10ap51BXqCubL1HSUxN7+4A+8W3WRWvuOMgTnOUO8yum 3PxrXG5eUiffz7Wxvi/455JVlPxdyGeCbwhMdNZf2FveA30/sDv4Wk8bnwLP FC++qfs5e1dX1zquGe+sNlgXbwQWjwbKJ85jzoYM+a7Uh572Pgbt5Ky3edgb 76z+IjVb6ecxzup8qmL7VPY8F99HtET8I+VZinzVRD6sBB1JzvKR+l9xNsfq KY6My1BntcHcCZectvP/bIT0vNB+5kw32umsv0xRzPgOSWM8A/NdIviwwOqz J/0WWC+gjf/Kzif65r2ynN2Z9810qj3lXS3lXm/QaoHVG+8RKXkv0CqB1Uwq YxXYGY2VM8yRrqDPnPVZvpvqKo86M++c9X3eg3euK/811d2Xgy5z9t+xKnQn O+sx7wTWr3P9sj1D5MMY7WXO8c3NPsb3RX3VeDvQu85mJ+ugtmIRo5qgzdGS U09H0EfO6j9CNtLnnIetnM1Erq0jPR1AHzibW4xnPcWXM53znH3of6JBREc= "]], Polygon[CompressedData[" 1:eJwtlnm0TlUYxr9093uEe0vqVkKp1bBCieZ5HlcqzYPpmktXWg3LWGSoUCKK SgkRKZkyFSFDJQrRnCiEEEKG+j093x+/tZ/323uf75x93vd5T/WStvVLy+Ry uWFQAGsilzsXXku53KfwFvpmaI9+Hn5Db4AF6F5QH90dhmotLEB/DjPQXeFe 9G5Yif4W7kbvhGXoFXA7eov2oBfDH+g/YRH6GbgT/RcsQX8l0CtgFvpp+Ab9 HXyC7q496BdgGPpN3TO6WpbLHcJ4GHwBS+Ej5rpBX/SxzCfGQ+F7+BnmMtcD fkGvDZ9FT3gcfSrrqzCWErdnrExcEL7GHJgP05h7CqaiZ8JkdBd4FH0U63OM B0E7OIW4MmOb5HvvAW8kP8Mj6JdhBPo5aIOuxPq96P36jfgk4kqMvYkfYuyZ 319Rz6mzgQ+Jn4Rr0Udm3vsANNZ9EK/Ru4UJxLdCp+R3OlF7YSK6M5SgC1i/ Dr0BxhC/B+PRHeF+9F6dI/pHaIg+oDNFr4aR6He0B91B96D3wvV2ofdAb+Kj M59NEVwFFYi3MdcSlhOfBYOTc2AK+nQYkHyPF6BfCudiA/gMXUdnmJyTndBV uV7ZcE4sgbrwSnJO3IjuCH3Q7WA0uib0S77ni9G7wrnbWDmNPhuGJOfgT+hz 4NXkHFqPPg9eT66ZS9D/hGuhCVyE3hHO7UZwGTqX+ayawqXE+8NnWQIXoreF a6UhXK28Zf1OdCvVLPGZMCg5B2eja8PA5BwYqtyAkeibknOlFIYn50w37ed6 1VVHxFcwRuZ33Rye1bPAWHQh4zVweOZ31xr6Eb8Y9op6MAB9GvNVw9esp9qE vsmecjxzg4lHoyswjoNa0D85p2agz9A7Ta6hYtY/TDwGfQAuRx+cOXebwZV6 r8Sb0S1gOPEt8Db6XRiE7hX2BtVUM3TG+o3Je1oRFxJvTz7TPsQnExfnc2JR 2OPkbdOTz3YuTE0+43l5D/i/9pOfZRJMSH6mUeEaUO6P0z2Fa0i18z7U0L2G 50Yl597Y8JxycHrYU+Qlk5LP5mOYknxGQ8I1VJQ/oyqZPVDeF/lamRbeq5o5 JrMHyvvKhL35Llie7NGzwh4i79B//B3OWeWq1gwM50RhPocmhz1DXqFn/jLs ufLamcm19rXuObnmVJuLw3Oq0WVhj5e3a82qsMfL22fLU8IeLW+ek+wFK8Nz 8gTV4g/hOdWkamFh+F2pJn4Ne7q8fF5y77lN95jcg9T7fof5yT1wXbjnqdfp N9X26vBe1fimcM9Sr1qY3KvugKXJPWtr2JPkRfoPecHG8Fp5wvhwDSj3P0ju JR3y70o95TjiLozloVzYK1sz7k72zCMy16Bqbx8UZfZMeeWO5F7xYHhOPUO5 3pR4U3LOp8w1pNpZDxUze4q8RP8hL79PZ5rs6WUze4K8QNcon7nmVGtbk71l RLjW5DGb0ecrR5J7ejnWNw+v3aKc13Pnn109Z3vY4+RtOkPVYsvws6gmW4Sv ob3qCfvCniov1T3qW+MeWJX8zbEn7Nnyav2mWr4h3LuL897QNex18gj19ifC vVQ9vlZmT9R8Ncbr4MTMvVV+qV7SOf9u1FPUi68P93L1ZPV29XD1bvX4GsQ1 M19L15Q39g97pTxSvbKBcjS5Z/4b7gHyfv2m3tsk/K7Ug8tk7hnqFWuTe3mj sFZPr0tcO7OXnBD+9ngsX+v6Bmkb9lR5qTxdXlwn81p58n/qlGXJ "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0+dXT3EcwPFrr7JHRJRCRvb2VzjHP9DxuB6jkuzIXtkryUg22SN7ZWVv ElFmIuP1O3nwOu/v5/M9594H99zoxOSxSXWCILhEFKFzA8azgp8soZql/CKF 3yyjhuX8ITWofUC2/GVlaDSn6R1KuMtirnKUhu7XhN6pa7WRHtNw3aBhulGb 63FtqZu0hW7WVnpSIzRHO+gW7ainNFJztZNu1c56WqN1u3bTHRqjZzRO8zVW d2kPPad9dbf20T3aT89rf92rCbpPB+hrfckrshhlN4bRzDLP5SCHOMAFRrib +f87XGQ/w+1m6C0GO8fTm54U2PXSszpSi/QFz9lJd7vpOodnPKWrXRTTnDPJ o4t5m96kmEHmdrSnNW1pw0Cuu7/BCYaZp+o1MpjNEx7TzF1Tpjg/4iEPWE9j +3XaRNO1vq7WurpK6+lkvcIi7nGf2xzhBwv5zgKqKOQy8znMPIZ6zhAmOX/l G5/4wmcm8pEK3vOBciZQxjve8JZSKhkX1P4j/wB/YW4A "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{318, 317, 321, 792, 783, 784, 782, 786, 785, 672, 788, 789, 787, 791, 790, 673, 794, 795, 793, 797, 796, 674, 764, 871, 748, 781, 702, 779, 701, 780, 671, 320, 319, 318}], Line[CompressedData[" 1:eJwl09VSlWEUgOF/g33mDahgt2IndhcbVGzEGAvw2CvwCrwBsRs7ZhRbTLBb 7BgDO8Z41njwzvN9a/bR/tafVVyWLk0lSXJLRQ5p5WYkyS6NyjTnCN7kSO7k cN7gUF7nMO7gEF7jYF5lLrdzEGs4gNUcyG3szyvsy8vsx63sw0vsxYvszS3s yQvM4Xn24GZ2ZxW78hy7cRO78Cw78Qw7cyM78jTb8xQ7cAPb8STb8ATbcj1b 8zhbspKtuI4teIzNeJTNuZbL+Zbf9UPlyjLLVqbq6aBZhX5rt1aYveNf/dES 9zEaq9Ear3FaqkQp3fG7CbzNQ9qjie6TVF8NdNhsryY732VDNtIH5zK+Zx7v cQrzldYyZWifeQnv86d+ab9Kzer4QFOdH7GAD3lEBzTNfboaq4k+ma3kR85g LQv5mDP5mbP5hLP4lHP4hfP4jHP5nEX8ymK+4Hy+5AJ+4yK+4kK+5mK+if9L 2fGW8Y7xtvHe8dbx/rETsQ+xI7E3sTOxR7FbsVexa/GWaqqU6nwvtapWpSpU rjVarVUqSf3/tv4BDChvEg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0ktTDlAcwOGTt0hurdXG52imFRpKJRVqUWPjEpqE900u38BOadsuphaG GbrfXAspkSKXXCIiIirlmbF45nfOf86cxZmzaV953tG4EEI9xyIhVDBMZnwI bbTTyn4ukJ4Qwha2csM+Q2t0u17SzdqgWXTRTQcH6OQgPdRyk0P0UsYtLnKF Fpo5wmVKSHF3VDdqTFO1VJsop5E6HnOYRwwxSJqz1zRTs9jGVfvr7OAOd7lN H/fI5j4P6GeAh+TwhKcM84wRchnjOaOM84KdvOI1L5ngDXm84z1vmeQDu/jE FB/5wmfy+co3pvnODAXM8pMfzPGLQv4wz28WWWA3SyzzlzhvEdhjHdF4VrCS BPaaJ+pqVrGGJIrM1+l61pLMBorNz/tD5zjLGU5TzSmqiBHlJCc4TmXk/x/8 B2ptYgI= "]], Line[CompressedData[" 1:eJwl0kkvHVAAhuEj5QcYqwtUDaU11tBWCNWNtTVNetGlmYSq6aKDoeU2kVDj xW3SJpdIWFg0EUtLP8iTdPHmOd8521MYGejsTwkhRHX7IISYNrWtPcWV0B8l da5LXemfrnWjO/WmhvBTMSX0Ji2EHn7Qut7aG/yhE7XZEfZpTe32d57pVEfq cHfM31pVq/2eSTU7t6hJK/YrLvM143zJb2zgVzbykPX8whf8zDoesJZLrOYi a7jPKi6wglFWco/POc9yzvEZd1nGWZZyhk+5wxJOs4ifWMxffMIpPuZHFnKb BZxkHieYzy3+Vb8udKlzvdMj7+N8yDHmsps5HGEWh5nNLmZyiOkcZAZHU/// g3tS8Dwb "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1577, 1357, 1421, 1576, 1697, 1614, 1696, 1615, 1698, 1663, 1833, 1664, 1681, 1680, 1578, 1682, 1834, 1683, 1841, 1666, 1837, 1692, 1836, 1835, 1825, 1665, 1616, 1699, 1700, 1695, 1694, 1577}], Line[CompressedData[" 1:eJwl0slXz1EYwOFvpV+IkthnLUMlIUoyrAsJDWQuhz+Cjb0Fp3WGzFOTJPNY hkxlbCIhkjnT02nxnM+5513c955zJ5Vsz90WFgRBLaWRQVDALmaHguADffTy nnfMooe3dPOG16TRSRev6KCdmbzgJU95zjNSaaWNRzzhMTN4wEPu0cJ9UrjD XW7TTBPJ3OQW17jBdZK4wlUucplLTKeRC5zjPA1M4yz11FBHLVOpoppTnOE0 UzjCUSo5zCESOcBBKtjPPiZTzp6hHaK8h2T2OifocT3BMXI4yY6h+812ai67 mcMnlvKRZfSTzgDL+UweX5jLN1bwlXy+M4+frOQHq/hFBr9ZzSAF/CGTfxTy lyICu83XcC3WMF2jEZqlkbpWR2iJhnSBjtR1GqXrdZRma7Ru0NG6UcfoQo3R TTpWN2usLtI43aLjtFTH62KdoGUar1t1oi4JDf/v/2PGaTU= "]], Line[{1611, 1393, 1397, 1398, 1399, 1400, 1547, 1662, 1823, 1661, 1821, 1660, 1822, 1678, 1820, 1658, 1818, 1657, 1819, 1677, 1817, 1653, 1815, 1652, 1816, 1675, 1690, 1648, 1814, 1647, 1693, 1673, 1685, 1646, 1670, 1645, 1828, 1827, 1608, 1826, 1669, 1679, 1672, 1839, 1671, 1686, 1687, 1650, 1831, 1649, 1612, 1609, 1829, 1674, 1651, 1655, 1832, 1654, 1613, 1610, 1830, 1676, 1656, 1659, 1611}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.19999999999999996` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.19999999999999996` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVke3/7GLFVvsqNEYYxBrbEGOGhU1YAFr1NgVKxqxG0vsGqOCLdiw YUNEUbHhY0FUREA6gtKRLlWxoDd3reezz13Hexevv+S9v/fem79Yn7VnzsP3 nJnZs2dmT5MJdtaTSxoYGEwtZ2Dw739XLn1varw2Sjf+zmrdGDN3pdeN2aHu Q4OFq5a88WqdpY/wCOMl1c9dOi5M/R8snkbd7HFb6sPUh6kP+ySVeDo6/oJS +kxhuPVkP2X0LOcmhoG+wtiHG1aY/lOvYLHDaXlj0+buDhWmvMn12rbfDouQ 8jDlYcqXsPtiSmnbp1IepjxM+fRtdc8nm8VJeZjyMOWHTm/c9uHdBCkPY9d9 96X72QHJYoexf9XQtPWO8BSxw9gdX3ZwWzQuXYnf1/GXqbPCdc8WHKrceuIe xVJnNTh/qb8w3ws+tnG0Wfuu14Wp3/pNWuRGm3tSH6Y+TH2Y7wt3OLPxePkq DkpG61LpW64FKpa19nS7tuKxMPbb8Uapwx6FCu/aafy8UcwT4Zl9TZJSsmOE nYv25YxYFS9cIfzInG4VkuT52GHslLd3P/WiieNz4Wcbz80u2yBNuO/Ey5lp RzOUxu5G9/c63xY77xs77Z33R3uHeR8w5Xk/lNe+L9o//z+MXdv+te+T9g3T fmHaJ0x75Pdg7LRHmPYH0/54X3CNwYllYyafVJyCc0bMjn6g7C39znHX5mDl jceP1RyaJijLtk7/eeTYLbo6TTJ++Wqoi7B348Qfjvl6K2++t/XXPff/qP7s dR+GdcryV0od2d7Rt5qXkuX68tG5khlSX/s+qc//x/uCte/3vJluZkCrF8JF Ad+2GpOaqbT91Smi5+JInYnbqaEmc+YojmeCvv51fKhwgX+FFaH9Hgu7xa49 2m2SrzD9B57b9GX/wA63hW39/OLvVrggTP+q8NXBay/GXpX2BKO344LtXs0H XBSOiXK9cnmuTt4P+vm+9DfaD4yd/ocdxk5/xA7zPulfjFcw37Pem5SAlOxk aR+H6y6p3MwiU/5//Aus9RfoufFbhL31ZR9hfg+mPu+T9qN9H/QH7H0soh43 iokTPbR3fm9N8IsBjxanip3xhd+H0Ttpy+RtC1xVO+2P59GeeR8j1hVZ7tqc JeOFz3pdxgrLJHPGC5j2ANO+/MempyX+/kA5UdlxqGPJUGnffC/vktedJuUE qHzUtYrR/jjl2dPK470MQj7yV/3tDlnX75SqRHdsG3h3zR3p3z8/PjOufcF5 6R+/zjdLCg0LUYb09Q7xWvBQcT89oChxSIgyyzvXO2V8gtKzrq3HwcseyoWT IwYOCspU7FZWNm2/6ndljlGXjMvWL5Rlt9bdWdQ93LzqmojzWdM3CT8Zmj5u 3v1DwiFR2/1X7fAU7r7A9cSYr72Ed9hMSgjKvKtMN9jRqP93kbq85aP8Hf94 H6bflfaJrvFYOL5iasSz+7eEeZ/w50Gn651J9VJgnn8gWmd3vnygcNfVfaZM m/1Y2TRxfvdzNgEflbff+mjW0nqhwkYdh0xqtzJMuG/PqBm9TJ4IJ6aMn/B2 e5SwcUHKtMrmMcJPH3VqEz84Vvi1zdv26V/GC1scNz/r80Tlia1KegS4Jwqf W9nb9PTEJMU96vnULSVCxV+uCQ4wGTY2WLn8tM2ky/PV8o/KGra70OW5cP0f LM9szXiuXMqNW2fXN1Ap9Djtda2dau8UW/Xcntupwmvb25jYz08TPnTlszY/ f58h/KLSD6dHvM9Q/D8L2D8h+574W6PQw9tzTW8qq3fGGVXslSH9P/7zeh26 nM1Uhh2dOtx9spf44w47lpZe3DDpBv6W58t4omftfJXvRf+C+T3t99TOV7Ez ntD/KI+/btCvKLtroOqvseOvYfw1zPgE0z9h/HO7The+2TPxsfhr/p+XNn1j a3ZKlvKMZ7DWfwdWOVbv2oF0JTT3rHndS8dF3+CzdQKO1jotvOO77a8CQkOU 469eDxjoFa/cqHP+p171fZTVuwaZZx1LU1ye7N0ZeMxbaX3py2sTjdLV95GR cTQm7pRwQebEoIXH7yjTO4wa7b/UX54/aMjmovQGoUrDqab9ahf5KUv6rByT NjhM6TXeVCkIDFK6H8483TUqVPmx2tL2G5MClZSrW+p5+4Qqq7Nr1//t+zil dGLbDhV2P/zDP4X1nfQyRela2nhg56oOOu33nFb2p7i9H3yFmT/gPyjPfEBb H3/C/Jnvz/wZxp/DvG/4cnqdErqHQeI//D0iW51cEqSUKrGkcu7wJGnfIU6v p1qFZAlve7Zm7uD1L4QZj/l/8A8DKl1Pm5YQqWtzb3Nf3VBn85qVFvvUr6ry glbn6k5+FSLs3iq/m8fDUGH08LzqA022v/N4LPaIAakz3WIChX+K7bnyxdYH wmmx9+9v7vxQGH8F8354vmvTLnbGhnfE3rGpR/Nfxt0SznrYx+mrCeeF4/2s v57gcVGY9yHzJf332mO03fVhOQ+1/zgPSzKMvqkU1j60/duzqr+4/kO1zv4r VH9h8G0pr1vOt4U3vE32ORF/Qbjv/vPv49t5CCfOW2j9vMt1aS/8P9r+f9Bm hb/hw0fCFS75ZO3aHiTlmZ9hPzraKsnqVbDwM9uQjLFHwpWMPuGvKjwOk/lc yKG7up1rw5T4qScjX4QHK6ZFFT7vcSVMufHoTIfIuqGK6fLTV1sVhilP9ju+ 8V4arlw3scq9nxymFDZdvLnc/jD5feZ//N6SqqMSPjOMFL5QPz6txcVoxdLQ YmL70uEyX3QOMFztYBiuOHl6Oi/8NlK4hdNyt4TXkcpNx4Vve//xey5VrGKP 7omW/yfF4/CQXVei5PeZX/J7A27bxsXUeybc+/nC/EUJsUrnbZbtL0wLk/lo u0nffH3jcpjS8khhUZv6z5SI8tn3q//xPq77NnC4PiZG6WNY56Lnk1Dl0LYv 9lVrESfji1JYqnz7drHy+/hHfm9712t2Q3ap4/HZm8vnjZmZIOXpv9jf1rid 1bmR6k/rOq3N7VGQpERfbX3Db16wcj8/cJHLuESpz3yZ8pMz789qeEIdv1fP +3Vu8+UpitNKXdH2bQEyv27zc49HRTaPlRFGpt98OzpZ+bzWln4+GX5Kes9T 856sTlHa7F/9U1gzf6VnUYJpq9opqr/U+1ueH+ATkFGireq/My0dsyuUS5fy +FvsXZzDZiRf+Q/je3MnuxdbM5UfukQmrtkdKv3Br4nfT45fq2xe6PBZ60Bf YeMHi9pZFj5Q52sLH5Ycb+kj/WeAS1Lyd83uCV8a7elW8Mf3xr/6m0U/zykV LvGvfdyutX0CwyT+den/fH2ev7o+U+V4Jfcv8h/K/N6536PYhtY7Zfzw3Ny1 y8J6K4VDFhU82T80WH5/wraSVltvqZxoM7Gaxb1QJXbrgneZ+wOVYdculp32 h/86c6CchTIqXklMX9x9Zcp9JWGt7+8bA1OVJQbRjrbt7ig7vu8eV3FhujLn zeEv1814rISfqnx9Vt9k5WBIcLZ17AGJR6s9P7QhpoqbsrVHjf62Y7KUV09d p6f3OqWc+WbA7s47siS+7B2c2iZt8GUd8xuY+Q3MfBem/v1GfvF1vt4m9WHq w9SHiSeYHzU/9+K7GJ+nwm09dQOav40XDti5/m109efCs+wHnnBsmS5c0ab2 0P49XwiH7nmx0uBMjnCzDTbhUZfzhOct9Gzl6V0gfHtK/TUOga+Eqw1b8WRW 9Gvhcb0T2vRLeSt8toPF+mb5RcIfmp5++uHDh4/00N7QA6MHRg+MHhg9MHpg 9MDogdEDowdGD4weGD30F/TA6IHRA6MHRg+MHhg9MHpg9MDogdEDowdGD/0d PTB6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdHDeIUeGD0wemD0wOiB0QOjB0YP jB4YPTB6YPRo18eJX9AHow9GH4w+GH0w+mD0weiD0QejD0YfjD4YfTD6iL/Q B6MPRh+MPhh9MPpg9MHog9EHow9GH4w+GH0w+vCX6IPRB6MPRh+MPhh9MPpg 9MHog9EHow9GH4w+7f4K8TB6YfTC6IXRC6MXRi+MXhi9MHph9MLohdELoxdG L8z6BvEi+mH0w+iX9XC9fhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+i/MKRJ WOMu2aIfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0T/t1tFajj/n iH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9Gv7Fpi6FlbueKfhj9 MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Z/sNPpHQvL5ot+GP0w+mH0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRv+Gcq1DUvsXiH4Y/TD6YfTD6IfR D6MfRj+Mfhj9MPph9MPoh9EPox9Gv7n9+Rqjt74U/TD6YfTD6IfRD6MfRj+M fhj9MPph9MPoh9EPox9GP7wh6MvdLc5Gyno8zPoZzHoWzPoSzPoQ70t7/oD1 GZj1Ft43zHqw7Gfo15urVEwoGBmVLey9cMo3fo1yhRclptqbT8oTNh0864L7 iXzhBK/svM8zC4S1+okHYeIpmHgEZj6PHu1+g/Z8AP4GZvyFGY9g+idMe2W/ tHP3eb8pN9KULgl3ulsdCVcO71vX0sAgSJj9W/Zf2a/l/yeepzzr93w/OPzW 5sxS16KEKc9+LUz7oT72+HujCvu/iBU7zO+vdGl6rES5JLHD2I3Xpg++bJwq dhj79Yke72d3zBQ7jL3VIa/Q6sezxQ5jX7atiUnW+Vx1P0rP2P1WrP3lwY18 scPY69mlRhz1fSl2GPv0H61arwwrFDuM/bLVubWj4t+IHcZevlut6I5Z78QO Yx9usrhd9TfvxQ5j53uzHsv3gdnvZ3+e/sd6G+MjzP585byVv5YPfCH7OZ2i 9k1zH+0q62Ew+0dzGke3a9LdQ/i3+atmGXc5rGN/hvIw62nst2CHsfP78Hxn G6erQTHSXiPccl7XKJEovGDLFRffOinCNWeuslnVJkN45LFmBg2aZQuf2LFh 2KvWucKFqzNcg77NF+4zb1ApN4uXwrsmXBi50aZQOHFwHfdJY98Id+ixrGz3 Ge+EV7eJHV1/4Xvhr1tUL2/484eP+lulBVtOJm4IEV44cEeLB9XCheNa7D1+ xilS2LLk4eYOTaOFL0WdOLbA9ZnwtifDHc44xcr3d28cP6i0baKMF/5TZlYd 9U2KtAfiBc7TaM+r8P7xj/z/m3RbjnQuiBPGX8ItDgwd9KJSsjD+E/ZZ1rDo WLM0YfwpPGlU0snRZlnC+Fe4xP5hpw1b5gjjb+FBv14tkfRNnjD+F3Zeajzi Zo8CYfwxnDX9F7e9Vq+E8c+w+Q/JpReOfC2Mv4Z/7dd/lPXkt8L4bzi6s9u5 VnOLhPHnsEP69p1j94cpDot7PBxSN1C+L/4Mxp/B+DMYf8b3x3/hz/DH+GsY f8T5M9oH53doD4xP+BP8A+MTjF27Xk592hPlaS/YaU/YaS/YaU/YaS/YaU/Y aS/YaU/YaS/YaU/YaS/YaU/YaS/YaU/YaS/YaU/YaS/YaU/YaS/YaU/YmQ9i Z/zRfh/W92gvjBd8f8YDxguY9sN6C+2L9sJ+mna/5h8979WyR4sng/+z813/ n85zsf8XdDWqic9rdx3s1/2XrSF3XXQGdr6ve0eGy35Zw8/OnBxZOlb4Wr79 MKMGicIjg81K3WufIvzqXGn3fz83BPfvO8XUqW22sFMn3zXzu+UKpzU3jRrU L1+482cObU2GvhTeUObl+nLjC4XD8kc+i5/5Rrh5oleHG4veCdsHN9n8+5r3 wrQfzm8Ud55Ke17qU8878T7NOlavfcQtWzg+xiPEqHyOcPbhncNq5am8y7JT zdWWucIuVevuWt8pT9jyylWbgm0q/7BsX+jrpfnCBs3NHaeGqmyU2qjWzJsF wpccbgVF1n0pTHwBa/cH5f3qx0eY8Q5mfIMZz2DGL5jxCmZ8ghmPYMYfmPEG ZnyBGU/gA8sc5r8OUM9zFXf+Snu+iv6vjY+ajer9odI69Twk8ZKcB9THSzDx Eky89Knns7T733/1+SvGU/rLT8O91g+ZpY4HRrNv2Fb+Y56HfzfquLZDxbVR 6vu2cnB5l62yxNsJ33tezAlQzm+K7dLP7uP4i98jvoKJp2DiJ5h4Sc7z6eMj mHgIJv6BiXfkfJc+voGJZ2Dil3/0PJj2fMCAvlcT+6/9XTlefkz7R9bqeTCJ R/Tto8q66O+WrbsofGBIid2BI/bq/q+fF3OraRV3a1+MtK8C29n7aycnCDta dOzvX6SOR22bv3+5ppbqj2xLJjze/5nqjy7l9Gmx+HPVH5WNO7V8iKnqj4YE Vglt3VX1R0d1P31dsY/qj3LdwlYlD1b9Uc8DXSNujVH9kcOWA6b7p6n+qOva wMhNdh+EGzy06bh+k8p/9fmwv/q81199fkt7vurPnpdK2TbRI7DpVeXGpGWj albOVAaEVe99aYp6/pj5f6u+7nP3nc0o9rwO/ZP1Pfrjuq9yL4RPVnlXRnDH 6EE5Up71P5kP7Jqf3++U6h8sRw5fMGBnrpRnfVDmByVft7+epdY38Hly8WZk npRn/VDmC3bL5pm2V/lSux8L2hkXSHnWF7GPjv5w3nmhytMPxnU4NuGlxMv0 t+OLK1iYPYlT/XuZagbfGKn+v/eIoLzcnCTV3ydGuKZ/mSyc0NHJ+aRhmvDJ 284jDysqr6o1wWpckyxhi0O2ZUcOV9noTc2fNzdQ5wu5yp7I9Z1U/jF1UfCU Fur8oWfrd60nfqeyW0T0Vz07qPMJB+Nx68wHqvzuXveVDbur84vYyt7RdUep bOl5NKzwe3W+0aboy/YFU1R2cinfKmS4Ov9YnrF5Y+BPKqftnLn67ER1PuIf 9SLm9HKVm16tEzD1Xqhycrf1xcj9gX/5ebk/e76N9hG7YtCraZWylfxEh4Oj m4bJei7xCvER/h5m/ggzf4SZP8LMH2HmjzDzR5j5I8z8EWb+CDN/hJk/wswf YeIHGL3a+bJ2fQlGL4xeGL0wemH0wuiF0QujF0YvjF4YvTB6YeIb8jPQD2Mn XwM7zHyA+Jf4GSZ+homfZf1dX5/+QH2Y+jD1Ycnn0/cf6sPUh6kPU5/+Rn2Y +jD1YerTP6kPUx+mPkx91geoD1Mfpj5MfeId6sPUh6kPU5/xhPow9WHqw9Rn /YL6MPVh6sPUZ72D+jD1YerD1Cd+oz5MfZj6MPWJ76gPUx+mPPEf5WHsxIOS v6zPh5J8Zz3Tv7R28iVgyQfXx7Mwz4fpn9r8cOY3xAPMX4g3mJ+gB+b5jI/8 P4wPMOMB/582X1Sbz8774vd5X+Tzuuh8S4+6mCfzOW1+7/eGhklNauTJ+zZY 8GuzHcPV8xOSf6af72jzVXke+mD+f+I1ngdTX7t/JPuLepb8cb1eyb/XM3a+ D3YYO7/H/hX7X9r/l/Gc+J7/F8Yu+bL69iX5snpmfZR8Zph8ZuJ52S/TM88n vscOYyfexw5jJ/7HDmNnPQA7jJ31AYm39Yyd9QLsMHbWD7DD2FlPwA5jZ30B O4yd9QbsMHbWH7DDMt/Q57/TnukPMPnsMPnsMOOflmX/Wd9fWL+BmQ/SPolf qS/5Ufry7BfC7BdSn3iV+pLfpC/PfiLMfiL1iU+pL/lJ+vLsN8LsN1Kf9WHq S36RvjznF2DuS5D7APTrQXIfAPlG+vLsT8Dsb1Of+Jf6km+kL09+Psx+qNwX ol+vlvstyB/Sl+e8Bcx5DeoTL1Nf8on05bX3ObCfQn3Wu6gPU579N5j9esYT /AfjPe0R/wNzfwOMP9beLyDnKfTM/FDuHyC/V8+S36tnye/Vs+T36pn5Eiz5 u3pmPgMzP+F9Md+gP8a1Ljml2ybVH2v9M/MN9O/at/bYWf8cqU//5H1Qn/5v lnxn7QKTHPFvvG/8Cfd94D/w73wf/A3fg/GB76X9fez8v9jxL/wev49/gfn/ anS45R0zy0v+H/feLmNe5d37KF5hvZH4DCY+g4nPYOIzmPgMJj6Dic9g4jOY +AwmPoOJz2DiM5j4DCY+g90bemd5+wV9FG+xPi3j77iIxT/+rs53S8y4271h nVzlpW+7wrsW6nzLesnZxbvHqvMtl5ftcyYMDNV1P20R3/IPXRN2PR295Js7 ygMlwGL5ozOyPv3/eh9E47jdJwyHPVayHk8ZfazwimJrMqDWrzMfKwtSMxYu 2KrmA3NfRIRNmYsD7YMVtyqGvyx57v3RfQ7/3fdJaO8X+Fe/T6K4+yL+7P0Q cEXHhmfHh2QJj0we17Lb+heKu51NqW5tzsl41Lko/fqmYz4Sb3z+y/SlTh0e 60x8xsya8Zkab6xtPaPN9zPylMu/mZT5qoUaf9DeCyp4nnx3QI2nKvTy6122 hbvMZ1nP/Oi+ibO7vJrvCFD+q/snGP/SNjudOFz92p++j0J738Rffb9EcfdH wPgfmzaXpo4IvyH+BH9kNzXExWxsjvibBdudqnb2UeMxp/sLau0tn1/s/RMt K28tUbbFJd2BnLplVtfOUfY8PbfAb4qvznbKrBqX5uQqZfut83f29NVNiOg6 Y8zCXGXT4YpZraZdk++1yCxzfurVG8os6y+qzjQLuqG9j2KbrkWba1MO6Nw+ nxc4YGK2YhTuGnfxwG3dnNtL4pf55CjjPGKOma2O1IVUHnil/LB8JfmC02+L R0ToTA9d6/20Zb5SvvvkpDdbIiU+zA5NsLv66qHEh8YlnljFN/dXWrva3y5o d0LJ7r4tKjXXTxm3obyT7bJDf/q+itK3W4beTrgr+oq7v+Lq+6frnm64I/P/ CdMLShq4eSsNDgTWrGdxXOfi5vHtMGMfxSsruM7Ra866P3vfRVjVKwPulAj5 aH0BO/8v/kh7v0sZ6+zdtT1d5Xs2GRQx36Wmy0f9kftGPvU+CP4ffv/G91+c mlvDX57f0fJ0buXrAcL5Fhuqfvb7Q6Ve3sE+5VfsUC6vaejiVRAs9uVrnqyy a6Iy8THPbzDxsGnzLuFiHzYxydq+coT6/B5nPrT8Ilr4ao/pUdGDooQb761Q 7ejkxxJPuzXbYj+/X6Ay0/nd9LLdPCR+lvNEjdttcLSNkfr9tnUNm2McK/z7 igMmli3jhZd+WFbvi5txwsTXPO9BVuwcA78EsT+fXXL1lx0ThTv9OCWyZM9k 4brPet2LCk8SJh7neVMfnWjomfBc7GutfFs/s0oRDjUzXXdlZJqw5/VK9g4v UoWJ33leGdc5vrPepou9qYlD9I7JGcLz6r9sN2dulvDQvSGN+5VTmXif51n3 3vetg2G22MeVOeN9zFzl8kXP7Bx75Qi/MfNPXlFVZdYHeJ5zBwOHWbVyxe6e b1R/VX+VR2T09Jk9KE+4r0m7bqPqq8x6As/LbjoppW+TfLEbJNrPHT1M5RNR Lg36jy4Q3lN/l2PHL1Vm/YHnmde4b96s1UuxDwiOuNdpgsovfSvM+8L2lXBy hTep1dqrzHoFz/utpMnOD50LxX7gtplxjdkq97k6+4GB/Wu1v70Z0z3TXGXW N3hedM7W9Ce93og945yzfdZilXecDGoUveKt8JrUW7vu91eZ9RCeZxKX1+PS oHdiNztU+uGDtSon7um4wHNzkXBIxBeZR4apzPoJz1sWOHzP9tHvxb5pm22T Y9tVbrfByc9h9wfhZvc3frdigsqLDgyqFjMuWHkwt/yVazu9P7ov6V/t/pri 7u/41PttPvU+mk+9P+affd/Lp97v8s++n4Xysn6itx9Z/DTNt2eWEtamqadr 7fG6TRuTR9Qvly3rJwcHWpV1WOX6p+936VKv+rIC6+2yPsH8pddJc1v7NtnK +86vZ75vc1PJnXHe1N7qos7X8mwzk6VBiu7ppNaWFW4pLZ2izdIPnNEVWiyy qHUjW9kx8fTFmkt9dOWerNrWtkGu0rJGrU7h4/x1D8eOP2/snas4Vcz7ecWU cJ1n22pDN5bLV7T3uSx3scrMMA/Wvd94Ksh7ap6sD9y/7G9wMHqvrL/TH58s uzH16/l3ZH71+ZyZBWOPeOkONxphuMcuR/YPKD8lYUKLSn63pLzfh1Kt3gU9 kvUJ5vesP8Da/WDiCdYbYNYbYNYbYNYbYNYbYNYbYNYbYNYbYNYbYNYbYNYb YNYbYNYbYPQRH6EPRh+MPhh9MPpg9MHog9EHow9GH4w+GH0w+rT3X2v391gf wa7d32O9hPIw5WHiVc5/Uh+mPkx9mPqc36U+TH2Y+jDzdeIH5vuSv0T+o37+ zvxX7qvmvmb9/JX5qtxfrZ9vSvykny/CzPdg5muyH6efb8HMl2DmOzDzFZj5 Bsx8Acbfw3x/rV7iHfTJ/dp6fTD6YPTB6JP4T68PRh+MPhh9MPpg9MHog9Gn 3e9lvYX2AhMfsr5C/Mh5M9qfNn9Vu/+r3U/Ujo/a9qQdL7EznsCMJzDjCcx4 AjOewIwnMOMJzHgCM57AjCcw4wmMPt43emD0wOiB0QOjB0YPjB4YPTB6YPTA 6IHRo70vnvU62g/jI/sN7Cewvp9jbXE3ZU6u5O9xXzjzB8qzH8H+BfuXrMcw n8H/8v/I+Ur98/g9mOfhnxnf8PfsX/B87f3TsOSn6Zn8L5h8Tpj8L5j8Tpj8 L5h8T5j8L5j8T5j8L5h8UJj8L5j8UJj8L5h8UZj8L5j8UZj8L5h8Upj8L5j8 Upj8L5h8U5j8L5j8U5j8L1juo9e3B9on4xftRc7X6stzPgTmPAn1Gd+oL+dt 9eVpn/AokwG9Hr3Ol/qct6W+nL9l/zm+6qSy+1Q2+v3xasVcPX8r+Tl6lvwS PUt+iZ4lv0TPzBckv1rvryW/Ws+0d85vyP66fv8R/8D7o3/z/vAXvB/mIzD7 gbwvyvP/cj6B9y/zeb2/sDtob7zQ1VtZknLbqb7xIum/nK+B6d/oYf+Q5/P7 lOf5j2+6zr2546Y8n/eFP6L/8zxtPuA/uh8p+RL/x/Yj/+r9x+LyF7X7k8Xt L2r3E/+35z/+2fzE4vbristfLG4/r7j8Ru1+36fmO9J/6Z/a/YuP9gs1+4Pa /UD683+1X/I/PX9Su1+rzYcpbv9Qmx+p3U/U5ktq9xeLy5/81P3F4vajitt/ 1K7vavN//rv3H7X5RNr9RG3+kXa97lP3E7X5of/T8zc/Nf/y7/3Gv/cb/95v /Hu/8V9lv1Gbn/+/PT+a8Vju1/sXy59l/nizTMbyEy3cdYVmSwPcTW59tN7E /lxx9yf8nX/7z82/LW6/Unu+TJv//an7mdr9S7l/5fSoq2sK5un+2fuZJ56+ TksbGqKMrzKhTkDcfUW7v/lvdbbxLw== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlndsV3UUxe+3LW2h0GVLNx1QaMXSYlugLKuCiIJS3FoFCtRdrLVQ/MO4 onHvPePW6B8aE3fcM+4dVxxxJI649zrHc6o2+eT7+t733e+999x736++b8PK gYzAX4rIxLIH6ASTwGYwAlaAApAHxoNmX+eDLb0WgTVgNZgApoGx3lfsPbQx FTSCXLAMLABNYB0o9d4dwXZghtdWUA76/Jx2hkA7qAKLQJuvm2yTPiwGM0EN GLQ9ntEFJoMcsC+YDeodZ579HrEtxruf92b6eYHjybc/RY67wPtn2R737+X/ a0GG7WTbjyK/n630//s8w++ud162AGsdfyHotU9ZYLrtlIA5oMH2inwG728P WkAFOBjsBrYG8xzjOLCTtaEu860fY90VLAFzwd5gd1DnXJb7jEzHS3+GfU6Z bTU6Jvo1BYwBVzImBLwV/cTaBiba7wbvyce94qQcMN4DbC/H2nFvF54/gnUH sG3IHs/dBDaG6qbd+lc5prnWl/Xd6VzTxy7bbnb8ec5duW0uBx22tbNzx7z1 23aF/Zpj32qte6Zrgnme4PNq/5ez2c5bsk98vk2or6hhtzWmLwvtX759H62p DutZ4xyU2OcO681nba6Divivrxgb+2ORYzjUdZDrPC1xrvj+Yttvd75r7PtS +09/9rRPPaFeGu3/Fc7BgHPHvK3yPu6pC9XV6Mzp8Z4W61pmv3YJ1Sjzuo/z x95gjxQ7v6t9VoGvC63RgaA61De9jvEQsL/9z/GzXN/r9X3qvMz60d4a2xyy 3Wqf3WdfuK71dZZtUutB+8k6r/S7FbbVZ3/5fL33MMfLneeD7D/fewOcHao1 9tpG32/1NTVlDXSH6oD3NnkPYxhxbiv8fqX1GXHeeqwB77EmWctjfH6/95fb dqk1KrM91ixrNN/nDntvnbWlPdZbleNq83tVPn+zfeN8Ohqs9PvDPuN1cFZo RpwC3vWe08BToVpkr7B/2DtvgnNC/b3UelOTM8A3oZlCWPe51ujIUH/0W2P6 dpSvqTV74rBQ3TJXh9tnrgO+XmdbzM/lIC/JryHbavc5g9Z6LJ63JtUMba+y /XuZ+6R4HgWP+fzpnJ1JZ/4Mzg/NNib4z1CNvgemJuWyOaluWDM3gylJPd2C 9a9Q39xB/ZLm4AysOUm1eTtoSppr9LHAfnZg7QRH4Ho+1gVJmh0LZiV9g6cl aUa9TgzNa9b1x+CT0Lz4CHwY+t1xH31Jql1+E553fu4Bf4Rq6y7wa2hG3wle Cs2q18Croe/V2+DBUE+wRt5xnbzlZ7z/Gfg09H1+EZwbmi2/2C5tfuf4Gfv3 zhHzUwnfrg3VL79jV4R6rh7XN4Rq/Hf7Sj9fACe4fuYl1S79+Rx8EZplL4NX QjPuFvCE64Ra3RTS6zZwa2iufwuOCX1TJ2LPVaFefB98EJqnubifnTSPnrXe 1PqHUG+wLxpw76HQN+BSkJnUx41YHw7N/d/ARaFvT1aSHgu995LQ/q/B6aHZ OT6pdlm3PH+cfbjGGjD/x4OKpO/Qk64P1sYk3Ls+NPMeByeHfg+ypu4O1VUN ruuSZtLVjp+xPwMuDH1jrrNO1OhpcGboG8KaOi5UV9T8R+v+Ffgy9HvwRmtJ Hduxnop1AzVI+p/XP4HzQr1amPR7hbObPXFSqC9mJmlP3ZnLyUn5fACUJ32P mfvqpPzfD0qTvnmM9TnHW5X0DvenpP5kb5YlvcP9JUn90w1qk87muZwHGUkz 4WJrSR0vCM2Of37n4flloRn1N2MN4WU= "]], Polygon[CompressedData[" 1:eJwt1GVo1lEUwOFzx8RAsXs6Z2wunDWdus3uZLNlKipibyLCYCoWBvawuztB 9OMEO8H8IIjd3aIo+jue8+Hh3ve993/rnHtjRuZm5USIyEBE4gbuoA9aoVQQ 2USZiLY4gcvogRxUoX0bZQN0wFO89PGisRJ3kYnh2IwKwcZKwi+sRhzSMRNX 0BNpWIA5aI+ueIQHqIl+eIWHXh+Ea7iq60YGjmAxuiEVhfot84+lrIbbOIMu vufzuIDOaIo1OOlr0T3fw330RRae+551rwPwB+sQj9YowlwbKBPQBhX5vcX3 3g7T8My/bYZluIne6I7TOIhevqZbuI5Y76NnNcv3qme2EPN8feNwSuPInHmU DX2sw0jxMWNp20/ZxL9Zi98eC91DBO0BZaiPwF9IsLqe8Vu8RgwGYxV+iuWO xnSGjk3/XD//fajH704+p66t0GOR52tP5798X08G9bRgZ53vsUjh92SPSQvq BzxWU/EBSzEM2ViBL9oPdVCO/mVRifpobETJYLHRHN+D2vzuSNkYpXXvwfqW x3J8Rl3th1q0RSOK+hg/i/cY4meyHpHBckFzoABf0VLPASVoKx5s7FHYierB 7lIjPTPq2ymTMQWfcAwTfI8XcRTjxXJ8tn+jfXWP7zwGqb4m7fsRQ/0bHfuc 2N1K9rEvieWezvEd33ytmnP1GTsu2N7/nyn1vX5WGtMofu/ytesZLvGYZPuc CbTHB4uFnsELTEdzsTfjOH6IvRUTMV/sTdBYa8zPeh9t0zt7SCznNdc1p6sy 9g6xXNc3IynYm6Vv1SSxtygxWD3T534jlru6hkVib4ael+bsY7E7qnezv9jb 88Tr+gZtReVgd1nfwLliOam5qDmxGzWC5Ya+OUWpFwsWa71T/wCrDZLV "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnW8VtUShvnWFru9dte149r3XjuwBUEEhYOChIqKgtiAiIENoqCIqJiA LVIqKgaCgIGI127F7o47j/N8v8Mfc2blzDtrrT3r3fs763bq0fKk0qRJkz/j TxV6dOgxIYfWmjRpHrpZyE4hZ4bsFm17hZwd5d1D7x1yWpR7h+wR5UdCPxzS JuSZkKdDOoZMDXkipCHkqZAnQ44KmRLyaMgRIRNDJoT8K2RA2OqN7ZBnoz4t 5JiQmSHPhXQLmR0yK+S4kBdCng/pHvJSyIshJ4ZsE3JY2OgY8niUHwtph62o tw45PKSzuk1IF3XbkK7qI0K6qY8MmRHzp4d0CelUS/vYOtb+diHHh7QPaQg5 MeSokKNDti2J5STj6+a8E0I6OK6HeLF9shq8vcQHrlPVzD/F/s6uF/aOCzld DZYz1N1Dzg3pqb2z9A3G7UriOjukjzjwf6bzTtBeO2M7xzh62N9gDP21Dcbz 1MTaT6z47qtt6o+F3BtyX8j5xgD2C8WN/4vU4N2+JMaLQy4RL1guVYP9cn3g 86panidsDxIfuAar6bvCsazNZdpg/gViAccQbdB2jfjA1aMklmEh1y6A6zo1 uIarsX2lfsAxQqz4v0FN/0g1eG9Ug/dm4wHL1WIBx6gF2m5Rg3HHwDY09K0h d4gPXHeqh7v2N2n79gXiuM82bI927PUhY8UN3rvU4L1bDd571Ngd47wR7j3n lHN8v7bB+7B2sfdQyG1iGa8G+0Rxg2WcMTGO3ET5wZAJjr3TvqHG84i2wfio GoyTxYfvSdqmPsV+1uZx1wK8W4avNUPWIo/pEyxPq8E+TdxgebDkmCdDnrGf vmftJ6aZxg/G6baBZZZt4P0p5KOQj0Nm2wbGF2r5/IDxf9rFxpyQqfp9WQ3e V8QKlp4lx7wU8pxrAY65jmXc8/rBx2vanhHyupp5rxozvudpe5r9k7T7hmOJ 9U018b0X8qIY5muLOD5V4/O/Jce8G/KZbfh/R3yswQfG/LJr9IpYPlFj90P7 ie99fTLnobA/LuQ/IZ9rG7w/aJd5X4W8FfJ2yM4lsXxj2yz35Etjo+17fTD/ C+3R961xEPeP2mZfv7PtfX3MNravrRMrzxD5g3zxs3ESH+dxyZClQn53jYjj DzX+/xIfcfzm+jLuT/vpa1KyH58LlcREHLuUjLUWumnJNtbmF/2zbwuXbCOm RUueVzAuW9I3thcvOefXkCVKarDUcYN3sZLzGFeVXC9wEB9jGbdIST/42LUk ruVClrdcQpYpGRu+ly5pm3oxFuyu4Fj8/ENN3KuWjAEs62iLOHbTz7ohq5TE wbj1FvC/csm1oG91Y17CfEGcYFlbjd017Ce+1fS5uGsz331aX9vg3Vy7zPtn yIohK4VsrO9VbFvIvdrQ2GjbTB/M30B79G3iPOLeQtucqU1tW00fTY1tI+v4 28rYiIlczx3F/QRX3JP9qSWngw/Ck+CN8Ed4JJwR/giPhAPCy+BhcD24FTwD vgZnhJPBH+GMcDL4I7wSTgbHhBvCvcip5CHyDzwUXgk3g1fBceAwcDf4Ixym zv/gT/BHOCNjwQrvgofVuSB3VgdtwHfgoXBPeE+DbXAsOCk8lLFggo/B04jn OOt1TtlVH3AouFSdx8Ab4EHwjQHigyudLN6e1sHUy3qdF/bSdm/rx2qrd62R F55Wa+SFp4v9TOvEd5b1OiY4VmtxdKo1ctMe4oA79RXHudbB0d96nQv2F8cA 68zvow9wXGDM4LjQep3/Ud+hJP8bKCbW6WKx9NXWePefe6jO6Vmz9sbMGpBH yafD9QFfGiIuzu9g/V1jX53D1TkdGo4E15igz3odvnJySV44tNbINQfVGrnX Ha4LHO8KYx6i7zqHG+U8nqs6B0SPdCz9N4trtHbrPBKuhW84ENzoctuud73A Osz9GCSOYWJnDlwJ7gEfqHMm6mNtm1xr5Hl3a5u+MbVGXjhWfHCne2uNHPGu WiO3q3M9NPypnzGA998lud0DxkD/g8Z9v3b7uJeXuk73iom1mOjeUJ9iDGPE Psm1GOPaMe8xx4GFs/O0Ph63r87znnLOJH30Fe9l4qMfvgWngP/Bsbjj4R3w Eu6kZc3/i5lfybPggiPNcI1nWmfdZ1knhtnWwQT3eV5cr+ijzvnmiGWu9V4l Od+Lxvm8trgPuQe5O4l7nrbIo3AwuBO87zXrdf73mvjesF7ndtSn6v8lfcBh 3tLnO9bBAed513HvW2feB9an6X+eMXxo31zX9EOxfmy9zh3ni+8z69iFR3yr Pfo/0cf39hHD584hDjjRF+L+yjq4v7b+rva+MeYvnD/LOW+K9Qd90A8H+UO8 8JyfxPGLdbDCc341HvrrPPFHbc23/5daI8f9WHx/6QN8cK6/ao1csM4Nf9fH RPeVfZ7kvk4Xa1M5BP4W9u7H/yJyAHAtKs8B92JyoTq3W9zztLzcCP9Ly4HA t4wcCBxLyoGIZ3GfCfYD/3CyIldZXkwryluaykNWFNPK1heRz6wsplWtEzf+ lxTf6j57S8h5VrdvTetLyW3WLI28ba3SyBdX8Blexz7ihAuuK9b1rYMPrrah +Dayjl3eJ7fQHv0b6GMr+4hhY+cQB5xsE3FvZh3cm1tfQ3ubG/Mmzuec1tcS rFvr45CQvUveqZeG7FHym9mearjJXiW/W8EF6Of7HPxoEjqkRcjlztnWddnA +Odomztna32vo0++N3GHX1nSB3W+NfLNgnzfUMVZZG7IvJJ3Afn1ldBzQ4aE 7Ffy/ZBn8YCS7yqcOz5o8h0QPrd/yXc2ntMDS74zLGd8exjL7iX5PXt3b8hl xgP3g3PC17a1jTXZTsysyS76wP72xkZcxLFPyXt4J2MjrvtDD3LcPSEHi+OB kKscd1/IFfoA7wHGBcYDxb+z8RM7a7BvyZx6d+jD3Zsd3GNwcZ82dx1b2N+s lt9s22IrykeW5MyUJ4duhd1acj/a4cstQx/qXLC3XuBMwPMZ21ebzD1MPIxv rV/GjwjpT2zR3q+kb/zyrbgDcdbSH+8F8Di+37Z3/KHGgE3aGLN/Le11cMwU bdJOW4PtR5fcU+xjt8F9Jt6J2j1XX8wljjbGcl7J+cw9teSdypoPCN0p5KBa fvemfHAt+T/vJnB/zhDvLLR1LtnOmPNL1ilfELore1bL796dLc+wvXktv58f ra9jS77L0H5hyTrlgaFPKPkN//iS7yktavmeQpl3E76fH++Ymc5lDFh5/4Iv X+QY2qnjCxsvaL9lLZ+1Ey1jl3cf3qHo7659sHcxlr/fxUp+D+fZPsm5L5fk zXB7fkvg/ZB3wz4ly/tE+RTHDLX/NNupw7fhsONL5ga4znj36IlaPh+nul8I /fAOntFTtMm+dXRtT9c+WIaWPNOcgbNKvt/yHgs+3ml5n33JWFrVss6YXcVJ DPXfSs4Q8zkl59J+bclnYD/tnaN91oQc2kOf+N7TPDPHtRrueeWsjix5Rjmf o0qeLc5VL9eCmO8sua/s6a0lzxz7cnvJM8T54fefge4deYp8Rc67q+SesV/s w2AxcB5vdN3IX+SxHfXHXkz1Ob2+5DPIGlzjOpBjhrq2w0quxX7m+atLfpcj D5IPycE8j8Mcc7X22V9sj9A+z/sNrsN1Jddof/PbdZbZq0vcL8aOdDw5nvy/ jWd8rPFyNm52PXkub3Hdbiu5dqwbnJ/vibyzMHaU4xl7q+PvcA9a+GyOdp15 /u6wneflNm2SK/mGQn59teRdyHsFd+A415Y79D7Xaaz7BGb25Cb3hTuau434 yMPcE+Ri7n3uIe4g7gfuoWau63jX9lV9ERf+8M97BncL99nezuc+AC855jlj IWdMNxb8TXLMRMstLE/2DEyyzphWtjOGHMw3nfpdxDejwy0/7HloZzv728Z1 wyZtU2xnDN+VyP3cA3xLIjfT9rjnp71lxjLmCc9Gg3MP8F54RFwNjmnrGcMX uDpqn/VHP2WZ8zl1gXlTtf+wNvfzmXpK/9jhO9eR5uZpnqVurjM5GT3TNT/G Me08V7QzljP8jPY4w9wxx7g/M9yjrpa7KPSR+6c5Hr8T3KN9vU/45kXu56wN MEbO9mzPAvme72stxUYsPBezHHOodwK/2x7tHTLLdua94Fz6ybOtvF9o7669 Z7TZXV/cM/Xf0vgmwbcVvkfwnWDT4JaLVsllTgm9UpX3wEEleRLnfIto27JK 7rJw6Iuq5IlV6POq5GVNQ19QJS/7I+TMKrlYLXS/Krlhn9CrV8nV/go5p0ru dm7oNarkjqeHfq/ks4b+0PJZ0b5qlXfXmNAbVvmMDQi9ZpW8cIMq+2gnJ3Nn cF8wb7Rzfw1ZpcpcSqx3Gu/bIR+UzOG/hL69yvjBe7aYLwy9VpW8E32+5R9D bquSYxJHX2MBV3+xvRnyfkmexti3So6fI86B5nByPfkGvKuJeVjoa6vMg4ND X1VlPhsS+uoq8+uVoQdVmb/Ji6+6dx+H3qPKe2au9ol9nGPIXzs55wHz2d95 tZY4mDNVTgFW3l+uCXtDq8zl14ceUZm7Wfsq7/gDwV7l/f0T+1DlHcl6r+ya vxHSosq777rQw6vM+81C71nlHX9x6EuqvOc6hD6qyrtqs9CbV5kXbwg9ssp8 f2noy6q82y4PfUWV9+EmoT8pyZfHGRfr0LvKM0H59ZADquQh7P87PgOc64U8 27uH/qgkJ+oZ5V5V3vEnh/655F3P2f+9+C7CWXAdTgx9UpUc4oTQ3au8rxYJ PbBKHtA29Fcl+coRUf66JC85MsrflOQlraP8eUmOzzrt7VqtXeVZ5FztFeWD quRIp4Y+rcrz1S70tyV5z+FR/qIkT3otZJ8qudZhoT8ryaW6RblrlXdmp9Ad q7wn24T+smSOax/l70rypPWq3Ff2dN0or1NlLuE5/s1n+dhoO65KHrN+lc8G z8UunNMqOdoxoTtXyT84U809V61Cf1rkiFXiBjN5qFSZi8g3/AMPOYccw//z kGdaRnl+Sf56SJX7zV7/H6neqQM= "]], Polygon[CompressedData[" 1:eJwtlVlzFVUUhTtnQwEKogIFxQuDgooyg2hAIGqUQUETUSZRwiSIBkWBQsFE hCRAEhJJwhxmRFSGKn4AP4MXhpJSQJlUCihx+FatfvjqrN333u7TZ+29bp+y 8pKPU5Zly6ANPBRZ9g6s4+Je6IAugbXoZuiMng7foPfDA+hS+Aq9DRagF0Et ejh0RE+DSvQuaI9+Ct5El8DD6BmwHn0QrsBgPSP5mb/BUOrZrBXwIPqtsN4B ndBvw9foPXABnqCeyvo8/A7DqOck7+FPXadeyloNF6EP9WuspwqybCz6BVhO /RmMQY+GZehP4BH0TNiAPgyPomdBFfo76KK9hu/9PZyD/tRTWJ/VmaIfh9fR P8El6BX+rJrn90bfy/euPZ2F8VxbyVrE50u0d6inHgE3dV/qhclneBWGaI/J nvwBz1EvSd7jX1BILdNr4G+9J/VW1jPc/xbrKOoPkt/xBoyknp/s+XU9l7os uUeuyWfq95M96Ip+N3zvH+BJ9NPqEfQb8DMMCHv/Cs/bh54Hm6mPwxfof1hH wwT9Rr0Ca9DFfH8SejJ8Sf0y9SqdTXjv8qx72DN5VQyt6IHqEfSPMFVehH+r e/YMey6vX4VB6MfCe9Nv9oTfSe9yLD/LnXA0+Ux3hT2X10fz3tod/q56bG7Y c3m9CbqF96S9TIP7sDr8bL3ztnCPqbcOwTj0r6yrYIXemfoleJH9rdYMyiuo Q5+AxeEZ1OzV5V7PgY3Jnr+Hvs1aWuBr8+UdDEv24CD6U2jUPMBE9AQ9s8Bn vgL9ORQm98xdzUX4rEfpzHV24b3pN5qdO+iG5Bk6QP0RbEGf1J7CPa1e1rVy 9Pl8FvSb5Zq98L0b897cDkeSe3RHeAY1e7q2MNxT6iVl0OZwZigrtuezsSms NSMbwxmm7GpJzppaeZycOcqOenmanCF14UxTluk7z4QzUtmoHu8X9ljeasZ/ yT2Ud5rhtej/WMfobKGSukCZg56U7EVZuFfkSRW6LYxDj9cMokM9i54MPXQW cDrZky3hTFQW7s5n9VudSfLMNoYzXtnempwdLeFeU4boXspEZaHuqSxVT6gX lKnKMnko75RpH4Z7UL2nTGoOZ7qy/EBydjSFtTJka/g/RP8d2lMb9Ibwu+gd lSUN4b0pU/RfUBP2Rv8Jl5MzRVmi/5BqdN9wNjRRJ/S68FnqjIrQ7cKfaYb+ hTXhbJEHGboi7IU8+B9gkMd4 "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHnY11Maxt96n2NJtI1I0oZKGhLZssYkCiVLQyGTLWWPyJgxpZIoM4bZ t2uW61JJK6VknyyVpFJhmjRtaCXe0Nyf67m7ev94ruf+nvN8z/mec+7nPs/v 17zfrT0H1ayoqJhVo6KiUv6pUlGxJSoqGsh+Lhsu26mOY+Unyb8kO0R4vPws 2dHCE+Vny44UniD/ouxS4V6ylcLHyT8nP1fWUXiK/Cuyk4Snyr8qO0V4mvxr sk7C0+Vfl50uPEP+DdmZws/Lvyn7ofCz8nNkZwu/IP9v2eHCNWQVsoNlDWW7 1L6XfJG9I1xHvlL2tvCj8qNlTWTDZF1lzWWPycbImsqWKO492SLZ8XqeLP+y bKnb3pd9IlsuWyEbq5g2staRbR9U5hgr7Hmvh/ouli0T/lj2od/vrrZussXC /5V95P7V9szTW/1XyP4j/D/ZKseutSe2j/qvkn0qvEG2xrEb7Ym9Vv3XyNYJ D5S/RbZduEr2pewrWX+1/UT2mfBW2eeyL2Tb7DfJblL/jbLNfmeLY3fY745d 72/hvDhDznK4ebbDewtH4Eot4X1l3wk3juTcTHMM3o039+DaBPMBDk40V+EF /Kjh859XmWN94/XBQ85wsnkIH6eYh/BxqnkIH6eZh/BxunkIH2eY2+TEJO/F Bu9xa/OLeR8U3ttrHG1OLTIvlvvsx5h375tTSyv38G6JYx92Pu4de/i0+/2P zZXl5gjP5N8njvvI3FhVjU88w6PVfgfeLTWfV5kna6pxi2c4tdbvw52N1fo2 ev3rfd5wBe5sqta3qVrfVnOFPFjhNe/mFn3wosqcWlNt7C1u+7Iaz3i+xXu8 zX1VPm+4uc1zf2MefCvbx/wiDq597/aRwiPMm9rWEs6xwtoC3l++ps/4APmw tmDF7WjM/sZtI+Pofyhy7ip/C3Mzb335eub9DyJzgP6W8vvJnqnMOWv7G5hz L48JT5qYV8xfx/M2sg7u8jz1vE7Gru+5WFMDx9T13Mz7eOReoKHnyQ6SLfQ8 zPeu97Cu4xmjkcd5RH6U8/YIe/L20Mh8numYxl7XYZHjMmZDfzMxLSJ1mdw4 JzKOmGbOo/nmNxzirjk3sm++86ipc6qFx1hQmdrezJg+2tHboyJ1+y3hH0W+ Q0yrSN1Ba/CtvBY40tpnwV639lnsXvNMt7Vx+22RczA+WndCpN61j9QsdAT9 QtfQtHaReLbb2vkb0DX0jthjIvEctx3j+An+VnSS+dv6G5invePRWfQL7eoQ iee6rYO/Z7K/lVi+F4xuTvJYfAtn2NLniIairbw3zHsIZ7if0X00H709OVJz T43UXHQWzzP6O83P6DCxJ7mdc+rmM0WL0Whip3pc5j8rUqO5Y9DtMyK1m9jT PBffQQwaPsNxjEd/J8cvM6/Qpc6R30+NsdTfQP9dkVxZYI518Xq7OGcWml9d zTH25kTv4R2RfIWr9F/gmPMdz7t3Rz4v9JzdPS/+IuML3c67jN3Rezs4sm+x 976z96RmNc4OEP5p5L2PH2R8j3xPj39ZZD1HflG3XGLMncEdQx2y0phcpGa4 IbIeuDfyffqJ477hvdXGn9r3Nv6xMbFDIp/BtF3pmF7+Htp55k5ivLXG6+z7 GOOvNr5Pvq/H4Zk7bK099RB1zkY/g/u5nVjmvNzz3h/ZR/tQ+esd39fzMj7P 3H+Mt8l4s31/4+uNiWWe64zp497ivW3G2+1vMr7ZmNgHIp/BtA1wDMa9yBjU IeCv3TbQGN4NNk/g1D0+d/pvdQy6e7u5ir/DGB290/zH32XMXXG3eTvIc213 PvUwH+DRvcbc29z33OOc833eQ87tfu8zezPU+wO/HvB6WQtrY4yfGfPNPT0X a+HchvjsuH+Za6fn5Jm7+BfGOx3DM/cbvxEOiz15OszrYh7mox5DS9Ad6sJa +g01JfJ+XiarX7IOqCs/ITL/Ggp/HXnX/RWel9SW2vLPRNYaw4UfLrnfXeQ7 l9THt5m35Bm/y3eWPKfT5E8uqQHd5M8rqWdj5TdE3v09hLuX1MTL5HuW/O7R Xud8nzWY+5j7k9oUvW3qOGLmsf8lzwH95y7n3nsd/pQ8tyvlLy+pO4/Lr4+s Fd7kfEue56twpuSZN/dc8OdstZ1erP3yx5e8f66WnxapmwOF50Se823CcyO1 pq/w1Mh64W+yq0rWXpNl+5Y8l1myG0vWTzfLvxipldcIT4/U9AeF34rMq4eE 34nk8lDOKjJ3hwi/EakFbYSPKL6T5Y8qedd2oK3knXq4fLOSd3kT+UYl64mD 5RuUrBvg03Dz+U61vRKpg4OFX4vUGLhTZf7s4HxkB8puUMw+JWvAJj4v6qCX 5W8vmQd/ZH0l78HfC3cqeV/MF/7c8+PXGW+EjyXr2U2yf/oc4dRX5tV22T8i c2etn8HX6r1+Je/DPiX3nT1fIPsiMr+elrUuWZP8TvjEkvfjaPknImvfJ4Tf i6xbf8kZlqwlt8n+Hpnv9dS2JLI+/q3suJL1zK+FDy1ZO/1GuF3J2uZJ4YNK 1nJPCbcsWTuNMp+pZ/4gf1bJ2mNrZD6Ty+jeY84PamRqZeo6aq2xxmMcA5/H OY72hsbUyeQM81Gn8UxNOc/xjMNzDc3/baSmcrbPR57vTDhYUr9nywaU1O8/ yS4oWcP8Wfjikrr0F+FLS9YA18mvjPyd8GjJPCFHRgiPLKnl5Mo458tLcL+k ZvNd47yWkcYjbPRR8/ZX7AuRtQtaQ33FN8DxA83zpvLPRtbEl5T8VmIOKXk2 nMuFJdfDWsiVxs4XdKW3teWKkmtjXehZL2sa6/vMazyjJNfh+aiSvIEzbUvy D+6hixdZG5uX5A2cQV8fscYeWZIr8AQ9PteajGbvV1K3D0DvS/4XBU8rzdWu JXOPvEObz7c+j4/Ufd6dGHlPcEc8Lf9B5G8qNKOFdeOckryEk9/JPxeZmztl 35sn5EGdkrmAJrWyLi2OzCtyCn062hq1S/arkr+7ji2ZJ+QIutXe2oUm8R8E eY02n2l93hz5vyG//9DpjtZqdALdRys+NM/g2KLIfCaX4Vctc2yY/NLI30n/ iry30BbutFNL3msnlMxt8pq9ebLk/pxSUjvQjf8DJBjFxA== "]], Polygon[CompressedData[" 1:eJwtlWnQ1mMUxp/e5z4YtFApCi0ICWkqpEm7ClFCZevllUpvpdKeUG9lBh/E 8B2Dse/SvhLZppkmxlq20YRmFCF+11znw2/Ouf7/+/nfy7nO/bSvnTKivqZS qcyHAoOiUhkMvRCbqpXKUPIh4bw3zz6Bz+BoaAF9edcPLiLfyJjdxDnoWuI8 GEZ+efi3m3n/BfEW9CDiDPgcbkYPJN4F38BU9LXE2fA1TEaPIM6Cr2Ai+kri 3XCJvg09yTfw/W+J09FjtA64lLxP+J3WuAfmo29XhC+hDj2UOBO+03fRNxHn Qi/yi2F91XN8D/egJxIXwAr4DZpDIxiutYX32gf9ns4BXVc854dwL3oysR62 aJ/occVnNpB8QPgsVYNtsBA9oXjOA/AHHOb9ccS34G9oBZfBHYwdD0F+BKyD KehRxWf6NDyEvl+/4xuriBPQVxSf6VPwIHoR8U/eb9K5oG8sPpN34DZ5ovjM riK/OrzXLYzvQn4udEWvRXclPz+cd+PZz+kheacZjFKtoS/5VsasId6pbxbX /EnNqzMhbuf9BvkEPbq4xq/AfmgMVfgUnoXj06PXMHZkeG2aowd5d1iH7o6+ gLxbeG16to/4a67tKPgB7gvXaiHshFPRZ8unOdczxbXQnLXhmqgWg+Fl2AVN oDP8k56bmTUbw/ix0F9eqfqsN6snis9ce91IHFu8Z9VyPfG64pouC/eUemk6 PIb+MWvbIA+gl4bftZMHwz2k3hkGi8J71N4mwbRwD83JOY5BN4HTii+ISeGe VC8Oh0fR/xFbw4nQEO5p9fI0WBDuGfXK+PT6VuKtxZ5XL2zXvop74gH08rD3 9OxI9Ub4LDvA2/otummxx4N8SXiuU9KbK3NvQ9LrH2ct5fnf4fHwWpun1z/S PMWeVy+szr2pJ55A/0XcxnoeLu7FD/Ks1JPq7fdzb3Xp3bXEkcUefkTwrC1x Jd94TXUN92aRZ8hfJNakh3/KGjbkmuZG3ll5Zofh32Kvyz+6Cw5Cy+I7YUV4 Ts2lmrREtwjr04vzE0SO0d4Wh72sPZ5D3hnWVN3DFfJG4bk05wvyOvrYXHNT 8ufTG3p2KM9MZ6U5Xs8aqTbq4TfSk/Ki7vw3s8aqrf4TasifI3aENsX5Dvkw n3WUF6EL+WrWeCb5WXBe8ZpHk18fvkvUUy/JFxpT3LP14f+Y2VmjGeE7X3e9 emxW+D9M/13qwb3wS+5dnuvE+zPCc2vOxuH/AN396pG26JOhE/kqxnQgbx/O teZW5K3DtXi36rXpjtDdoDXegH41vaE7ow36pPBYfbMaPiOdjTzVk/zC8F2m /6j/AaZL34c= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm01lMU/Rq+c8sQXkpSUhENShTRJEklSa9Bz7CQhb/M8zzP82Kx9CpU Ty/VQ3MhSqbmmSjNUWl+zZO9197fev7Y65zv/u7v3nPPPnff3/3q9r87/67y mUzmznKZTAXYZimTKY5MphJQDfgpm8kMAArh345nh+DXgL8V9hdgPPAZMBw4 He07YWcD9eCXws4FGsHfB7sQaAB/D+x8oBb8HbCzgDPh74adB5wBfxfsHOAc +HthFwA14W+H/RVoAn8/7CKgKfwDsIuBEuBj4BPgC9tPgdHAYD/rhP6DYEcC veFfAcyEP8HrKAa+9HtDgPPx/DfYpcB58A/CLgHGAUVe/xhgKDAMGGvLZ195 DD4bldW8jGOi5xkBzAC+A74HjgDL3DeDuf70msrDX+G4jgJ/eE1Xor0r8A/8 CrB/ec4s/FWOJeCvdrzl4C93bsjxWq97PbDOcVVE+0qvKQ/+BthJQEv4LYAp WdXFZtfGxWhrBXwLvzvsVcBG+N1gv/G62sJvA0yD/wMw1Ws+DPxuLnrheb7r rtS1QA52uhbI3XbXC/O4w7XGfG51XQzMqnbmmvvdrjVysMd1RC72uh7J037X Dnk8aJ6LPccox3bAnLM++oXmynE52v1yNVfiuL/0b9YXa+5zzz3GHOVqZYzX VuKxiszVWMc03r+Hmyv+3pRVjplH5pu5Zj7/zoqvyVnVRQtzcAFs1RCfQzw/ 4yNv5Id9tmW1p5lDcjXD3E01Z9PN2Qz/Lna9MKZ/XROFWe31RV7HIPOV23tz smV7cp55GWwec/t2rp8PM0dF7jff+RtqHnN7bJHzRA6WmS9yyD07wnlb4niL /WyE31ns53yHdUiOEta+xnkmH394bHK53Dzx2RrzwvWvdRu5XOn88tlq80is 8nO+/6fHZv7WeYyp5pQ5Pi7EJXk8Af4xUcYr7RTP8Zd5vNoaQB6Xwn8hNG5f 76ktWWndNvNLTnY496zl7eaKPOw0F5zz2NDeJ1e7zQNzv9f5Z14POq/kYb/z Sg5LzeNC10SROdxjDpn7A84/62KX+ScPh8wF+Txsfpg/atMY55UaN9b5pvYx H9RIalyOK2poicc73nuQvFETx5mHo//j+Yi53uD1TzI/1EpyxHxUdvta18p4 80CNJhd8XsV9mI9zQ2vlnj3R2sjx86yled6b9MnPSaF9yHzUDeWyA+zJHrO6 NZLaS83k75+zep7nPuTztCjjuXaIW+5RvltonuuEck+u6od4po63sm6Q54Yh Dsn/WVHG4dmhWiCHzUK1QJ4bh2rhb9fuBtdI89Deuwz2Qq+X+tTSZ0fu92TX cQu3c10XeG0Xuj/70l7kPt87Zp4vt+I7ZZT3zCWh84l9aFu7DzWMGvcjbEf3 Y58eob30tZ+3dZ/LYdv5Xba1d/s09+P85LyD808+L3Oc7TwO+zLejp6LsVzu 9oLQudLJ+7hrlOWgq3PSOXSWsIZp+Xum3+Vv7mvGdalj43tX+l2eEd29ro3+ TZ3p4/Xmzo9uXgvnYCwj3ecqv9vN/RkbbQ/Hew1sT+sMke+aZFwFXlc1a1Gh 23s7Zrb1cv/q9tmXe6G319jJ+aFGXRvStS1eRx/Hn+/2QsfWxzFT3/p5Lu4r fisMdFuB2xfBPhvSlZmwj4R0aBbsoyEdmg37WEgn5sA+HtKPubBPhPSmleuN nA6AfcjxL4B9OqRVC2GfCenZPNgnQ7q1GPa5kD4tgX0+pDHzYZ8KaQxjPzW0 JmoN36PWVUPNV0/Smo9ZV0m61ikpVsb5CeskSRM7J8XNmLslzcHxOyStmesd zBpO0sSOSevn2l9mXkP1/jtwXehb8Cb0+SD0LTCIdZik3Rvgf2Q+r0fbXSFt WMk5Q/eJt4HXXUtDWLdJevop0CVJ07sm5YtrHsY6TDoPeiTllPnsnpRr5vnD UEyM52bYG0J1+irwQ2iPvhaKifHwfjMwdFZcAv+90N79CWibVJvtk+qDtdEG /gOu24vgvxPSkfOSzmCeGy/CNk/6vh7KfZR0VrWAfSOkZzOA/kn7ZwW5Ak4B 3gRaJmnGOUm5YB4aJY3Fceon3c0Y89lJHJPfBkl1wBq4A/700LlyVhKv5JT5 uCUpJw2T8s6c94N/Z+gcawK/KHTWNoU/PHTmnZnEMfk9F/5noTP1W2Bq6Jxr nMQTOboHuNf78Ta0Tw7t4x+BV0Iafz/wW+iMWg/7oPcO2+5z+8OwU0Jn+c/A L87/xBDf5Ppd2FZJ+vo+0DpJF1mby9yHtVbiemNcbzk25n658/+A5+D433lt XFc7jDfN+ZwE3BjSnPGw40Lfbmyb4PaRoTOJ5xHfIx98tyJrIelOvBsoDd19 a6DtlKR77SHmOHQ2HwD2h+7We4F9oe+Do+QzdIdeDawJaUQVjHF80v27HPdT 0vm9E9gVOvupT+ud582wm0L38u3AttCdPvBeSjrvK8NWSrqXrwPWhu7ltdFW K+l+XA+2btK9+R9gY+hbpA7azkj6DjgW9rikb4stwNbQN0pNtJ2W9D3BmspP qquqsHlJ9/4Tmb+k74w+SVpJneyVpKHUz55Jmk49H+GaZj2zfnsn1TD/5+ib 9G3HGr8mqc4LYK8DuoTsSyH/P5bcgH8= "]], Polygon[CompressedData[" 1:eJw1lfmzl1Mcx5976/mcigqhtOmmW91WlUql7Vak0IIag+QK2bqGMfYtjW3s MkP8AyL7FgZDkV3ZKhQtUiipqLR4vb2PH17z+bzP+X6f55zP9lTV1U+eVVkU xR3QEOYHPjSDxjAL3oTmsKEsioewb8NBsAl9eCqKQ+Er/J6svQvvwBL0wdiL oDX7vbG7tYbfHL7E787aE3A1NIU9rL2CfRV+w38cOvDb9vANfh/WX4dLYX7p /1wMRybv/cPaCPzhsBx/L7zF+nOwsfSZ5Z/N/sl5rQl+M+iGXlb67D9Ay3yH Z7BnsT8O+ws64ZewFL9L+GwdoW/4jLpbC+gRvuMu7HmwHb8j9nyI5P/+xdoW 7LnwJ377cCxbQa9wTI/AbwdHo79GL8Au1u9gJFwDRyXHTnfeh54BO/A7YS9U rpJjvZO1Z7HHoAdga+ECOABdg/2b/Vuw3dENsT+i2ySfQe9WDg9MjpliVZNz MRV9Qs5J2+ScKBc68yHomdhdpWPSNPlMOoti3ij5DHp3V2w9vKz3wELWWibX kGpHMdGzDkuuNT3zBexg9DDsaHgeBqIHY0fB0/Ci7ghN4HtYmXOrHF8LnZJr ZQXchK5BV2JXoRsk50y56oy9DqpZ24deWbo3nsrPVo9cAcvhV/beh7789i50 C+gHj6oGWJuK/Z39zap1+AS/HXYoe8fBB+ot9PXQGb0f/R3ciO6KrlCdom/A dkEXuht6CfbD/Gw9YwZ7r4V7aQq2UG6T7/JF6drcoxrKNbpXuYPPS6/t1N3h M3QVtk65CvvbWLsZ243nNcCuLl17FejqXIOPYYclz4It6MrkM+jd1f/Xvno4 98Bk9ibBT/iRc/dkeBYph1PYOx3Wst8I3Ue9AevQ62Eba1vh09LPXKM6VkzU S9hboYd6OPyO/sk1o1oZCO+Fe6Q250yz4nLsG6VnhmZBfa5NzYTL4AzWxuYz 1iXnWPGfpPuhF4X9iTANfX94lkzADkLPxQ5X7vWecI+rtzWDh7D/CHZE/s1t 0Iu1FI7BHGzv5FgoBreHZ7jOojMdm9wj6o0hMAD9YPYHhXt3Hvaj0j3cD31v jkX/8KxrnNybmnmn4Z8Ka0qfYax6P7n2KnJvrYZWuceUix3QIedkg3oD2sLH pWv/j/DsUw/U8qyRyb2oHlPt7Q7PTtXgaPZGJfeeekK5XQetc46r2LsE/9vS M1m1vD88C1XTK7BXhntT35jpylW497aiz1FuoI3Ohd4YPrPOqrXZ0DO5NhWD aaqjcG1tRl+F/TnXumL6cM6xcqsZ9RLcHf6WasadxN74lGcN+hR9m5J7STN4 HP6Jyb2umXQ8/pjkWaCe3x7uSfWiYrwqfCadRTlYG76T7vJfjGB6ci2qRu/L NTkh1/gDuUZUG5qhE7WX/C1Qz9yTa0S1oW/IwvCM0WzRTNsUjqliqRyfqViH Z9k81u4Mz0TNQn3D/gXDfAyn "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{32, 1, 5, 36, 126, 242, 143, 214, 295, 296, 177, 243, 144, 215, 297, 298, 178, 244, 145, 216, 245, 246, 146, 208, 211, 210, 142, 201, 176, 241, 141, 239, 140, 240, 175, 200, 139, 174, 138, 307, 306, 125, 237, 238, 234, 236, 235, 124, 231, 232, 228, 230, 229, 123, 226, 227, 223, 225, 224, 233, 88, 32}], Line[CompressedData[" 1:eJwt0tkyl3EAx+H/35I9oiRZs5wgmSGy3ESX0AXkErLTTGeRnbKvR9ZkrWim 0DTDQZTbSCieAwfPfH6/7zvve/RmP6t9+jwYCAReccgP5vlLO6d0cMYSF3Ry Thf/eE+Yj3RrqPZouK5orPZqjPZpnH7Q29qvSTqgd3RV7+qgJutbTdE1va/D mqojmqab+kDHNFvHNUe3NE8nNFcnNV9P9Be/eUmVrYZqmt3bmGGWaT7yxLMm /cIOU1TYGvU7Jc6ZZJHOqC1D17VSN/SYI4a4Z2vQVrZ5R7mtXvd55HyLRG6S QDzFRBHNDSKJ4CFBQvjv/YBeSpHu6h7LPHav02+8oIUyWymLzm/4ygKFtgJ+ Or/mD3N85hMH1//KFZjhRPM= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{319, 318, 322, 844, 835, 836, 834, 838, 837, 730, 840, 841, 839, 843, 842, 731, 846, 847, 845, 849, 848, 732, 802, 904, 775, 833, 743, 831, 742, 832, 729, 321, 320, 319}], Line[CompressedData[" 1:eJwl09VSVWEYgOF/gzoiBnbHVkraRkXHa8BuRBELsANbVEbFBrEL+4w78BL0 zBMVjBkLxe549njwzPt/31qz98xas6LFFYXlkRDCA+7HhTDV8FkXxoewgAl8 Ms/XHlzkAuP5aD9Pu3Oec+TzwX6uduMsZxjHe/s52pXT1DOWVvvZmsQp6hjD O/tZ2oVaTjKat/YztTMnOM4oWuxnaCeOcZSRvLGfrh05wmFG8Np+miZSwyHy eBV7DtqBgxwgl5f2hZpAFpmk88J+uLYng6fmhwxzziGbS/QkhTskc5lFFFPE EhZzhaWUUsJylnGVlaxiBeWU0UAqj/zndf2ig/WZPqbC+atO1AJ6c4terOGb a6t1HWu5RhpN9jf0uw7RKM3ON7UPP5w36EbW89P8nCdsMm9mEpPpx236Uskv 92zR37pV+7OdP+Zt+ld36AB2EdhJhN0MpIo49hDPXgaxnzbsoy3VtGOK34wy NPZuSCaFVNJIj71HMsgki2xyyCUv9hxIItDqW2niHndppIE6qqmkjKLI/2/r H7t4YkQ= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1GWQlQUUgOEPli7pElC6Q1JaQBEpcekupVOUklIaJQSXLkF6YenuTunu FES6JZ8dfjz3Ped8c3dm78y96Zt1DO0QJQiCHF6GRguCBSFBEFdH82v0IDim 84lqDiEaYyK5/aFvNUyP63h9oOP0fuRz4psTEJcF9ngarh/oCU2kCzWhLtLE ekofsoTXvOElq2jmeVNistLeRM/qEB1MDFbYG+sZHaQDic5yeyP9Sw/4Pw9z nNOc5zLXucUdHvCEF7ziDcm89yjPeMJT/mWUvztX53E48vOzH9FD3GKkfY7e 4y4HGeE2Wx/zD2PtN/UOfzPcPksfMdQ8jP4csP+s+/UXvaH9dJ/20b3aV69r b92jP+lu7aXXtKfu0u66U3voVe2mO/RH3a5d9Yr+oNv0e92qXfSydtYt2lE3 aye9pB10k7bTjdpeL2pb3aCtdb220QvaQtfqt7pGv9Pz+ooo5oDb5v84R3P7 ao2lLWnFOntDXaZx9Hdis9TeQGfqb3paF5POHKEf6UkdoC90gv6vz0luTkoy kpCSFIR5llo/JBVpScNY9/SagY/JREbGuWfRrGQmO9kY755Tc5GDPORmgns+ /YS8FCA/E90LaWEK8ilFmOReTItTlJKUYLJ7af2MUpSlDFPcP9cvKMeXlGeq +1dakQpUphLT3Kvq11ThG6ox3b261iCUWtTkT/c6Wpfa1KceM9x3+x6tYTWr WMkKlrOMpSxhMREsYiHhIe9/o94BszekNQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1627, 1434, 1515, 1626, 1752, 1650, 1751, 1651, 1753, 1686, 1887, 1687, 1719, 1718, 1629, 1720, 1892, 1721, 1893, 1688, 1890, 1732, 1889, 1628, 1888, 1737, 1736, 1735, 1652, 1852, 1853, 1734, 1627}], Line[CompressedData[" 1:eJwl0llTjnEcx+F/eCpSEsqSJdlDeQNCsq8VziyhkOEIlZ28CMpelldg5jmi Q1SyNUO27LJlLfvVOLjm853ffXLPPXdG8faCbTEhhCiXIiFcpIWy2BAy4kIY zQhGMZIt7uk6nCEMYyib3dN0MANJZRCb3FN0AP3oTzKl7omaRB/6kkCJe7z2 JkIcsWx076m9CPQghg3uf/jLT37zi/V08YNvdPKdYr7wlQ4+84l1fOAjb3nP O9byhnZe8ppXrOEpz3hMG09YzUMecY9W7vOAy9RT6r2v6HQ9qi/YwXN2coxV nm3VKLuoocStWjO1XK+Sa8/guD1GK/QaM+1ZnLDHaqVeJ8+ezUl7nO7WBvLt OZyyx+sebWSuPY/T9gTdq03Mtxdwxp6o+/QGC+1FnLUn6X5tZrG9hFo7Sw/o TZbay6izJ+tBvcVyu4Bz9hQ9pLcptIs4b0/Vw3qHFfZKLtjZWqV3ybGncaT7 +0b+/+P/AAcGYPU= "]], Line[{1514, 1470, 1474, 1475, 1476, 1477, 1600, 1685, 1851, 1684, 1849, 1683, 1850, 1714, 1848, 1681, 1846, 1680, 1847, 1713, 1845, 1677, 1843, 1676, 1844, 1711, 1731, 1673, 1842, 1672, 1733, 1709, 1723, 1671, 1706, 1670, 1882, 1881, 1645, 1880, 1705, 1715, 1708, 1891, 1707, 1724, 1646, 1883, 1674, 1716, 1717, 1647, 1884, 1710, 1675, 1679, 1886, 1678, 1649, 1648, 1885, 1712, 1726, 1725, 1727, 1682, 1514}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.22499999999999987` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.22499999999999987` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVde37xG70dhjwYZdgw2NLepWo1GJGkXBgi32XqJiTezd2EDEEoMN sSFiQywHC6igKPWIoCBF6R0FUXm5Y5zP3Hdsxx1c7i+597138xfjM+Zai/3d Z7U515rbdOI8yynGRkZGnUsbGf3b39UrPrWutyFc99Pddbqx3dyUPrfmhrhZ BQlXNL71buNAH+GR9ZZXuXDlpDD1R/d7Ee7V647Uh6kPUx+mfolzuXrLKY+k Pkx9mPqwT1yxF2OiLykjypab+XOfIGXMHCfTsk99hROzxicu2BciTHmzGzWm f2v9TMrDlIcpX2xek6klpr+Q8jDlYcon7arl/rrbKykPUx6mvNXMBu38vGOk PIxd910zt/ODX4sdxt6ibus29vp4scPY7d52cF06IUmJPtRx7bQ5et1L2yMV 2kxyVAbqBg3NXuEvzO8Bn9gyplv7rjeEO5zbcrLMl3uU5DbFk367/lRp4Fbp wUGnO8LY70RXSrB+HKIMrO7Y/fqqgM/sDnvrvakf+Vx4dn+zuPj0SGGnj4cy Rq6JFi6nPza/e7k4aQ877xPGTnnqL3I7nWZq90b45ZYLc0vVSRTuP8kjJfF4 sujBzvvDTv/kfdA/YfonTH2tfm1/xY4ebXn6I0x/g+lPMP2H9wFjp/9gh7HT f2D6D+8HPljig53DtiDl/cVxlfc0ilFW7pz5y6jxv+lqmiavbWHlrFQdGlsq csopZe7GAutOqf5K8WO7O/pWvqmknn37+IJxsrSPHXbvppv9pFWa8Mcn37Ya m5CitNt+4FnvZWE6M9fTVmbz5yt25wK/3v5TiHCOf7lVIQMChF2jNhzvPtlX mP4NL2j01uJphzvC0x89ivYud0mY/l+uxR/X08Z7yu8Lo7ej7e6bTQdfFo4M P3vNY4FO6rd5nxi2Zdh9qQ9T/l6D2NEnfO8JHwjKGDk34qGMV8rDzH+MX+ww dv4/zPvnfd/a8WyRpYeP8Psfpvvr3vgL8/vC9BfGN/0V7hJzt+egY3qlvO1v p2I3Bwsv+dG++cPKeqnP+Kc+TPlXzQ+ePHcgTHig8dGmexpFSH3mC+rDPK9b g+ghJabHSn9l/DPeYPTWfh//JD79tfTXo7WWV2jcL0V+D9Y7mPUL5v3yvIxX mPFKefoXz8d44/dYH5Q2+PGyBHmekRs/DnTYlirzj88mXfKqgXE9mH9g+hdM +QYl2nX6/ZG6nsKUh5mvYN4XzPuGoz3Hze7/e7DML51LWyybFRXw2XoV6mVm kTs7QakWfnfN4vy7Mn/UrNc19eD4izK+nSO71rkXFKzscz12wHxLjFInf2te 0w8XlZCTh5236lOU4Lq/LawQtF/xWFRmxeDhacrK2xvvLu2p71Fx/TP31Jlb hZ9bJU1Y+OCIcHD4bv819leFe9qedRn79U1h+2GTYwJTvIV9nRY87XntgfDh CN089zJPhbuu+37qjLkBwot2Pp6zonaIcKWOwyebrw5Vsr2nVDhwXa94uCq2 GfuClaZrW9WNytIrh5dW/Co6MlTK9+8dPquP2XPh2PifJubvDleCF7+YYvJJ rzzbNTYnMTBMMZrnm9c3TK/k6q1fNTaOkPL1cuJnVOgRKfzicae20UOjhPOG 5bdPahYt3O9kj/M+z1We1Mr44hO3WOELq/u2PjMpTn7vs7+3iMo9HK24fbEm 8BtXdb2l/ONSZc0vdXkjbDJ64LmdyW+UtnbfvPfc91Sx/L5rzIAfVHunqIoX HO8kCG9oP8xs0eJE4SPXvmr7yw/JwmnlR58Z+SlZKeewoMW9DQ9kfTZrNnum xUwvZeSXrQd9OyhZ+u+OB8F1Wt5MUSLmev1oX/mWrN8d7FeUWFY37hbrM+3L +DawjG8DM75Zj/JjvYal/tn/sbOe//riu4CKn0Jl/cbOfHDl+KUmbsWeyfyA nflh8rGXJXzP/bv5wmBnfYcZb7B2PV8b/cq0w8HXYmd+gbXruf2LUeNeXU9S EqtGdeq/yEfx+uGu45WLicrMGhFDx933VsqmOC3YEaP+PiOSk49HvjqtzK1i 1c/X7qK8j13vu32y7L/vs/dT7opPqsPuQKW3bUlLr2F65d6FpOJ92wUqpSb4 G13+Vq/0Vq5W0esClJcTx5d7NjlU8W2col+z8pViO6ON5fjLIcre7WZzqy2N VsySa9/2rvhISa9d8KJ62QTlzJIGb7bVOqHT/j/t+2f96n3qSrukEUGyP3Sc 07nBgshAZUTJ0K3NlsQpz7MCIz/VDlSCrr0odrDea+kvwQfypg0KThXe9XL9 gqGb0oSZv1ifmX8Hl7+ROCMmTNf2/rb+OiunHtXKL/MxqaiybasLtaa8CxZ2 a5Xd/aJfiDDrOe1V+dFs94eLAWJ/NjhhtmvkU+Gfo3qvTtv5UDgx6sGDbZ39 hNn/wOwPaP9soy7z6pW9K/aOjS42XTvhtnCq3/cHWkx0F45+ZPn1xIuXhXkf sj8yvH/HSrvP+pW+qPZXJ+u4shFe8v5kP2Sw56RMClxy8q7wjFI/vzpY4Cvv l/Xn9Pd2W5a1C5ff3yPgSLPyt/XCtbPClludChIuP90v4k4t1c77pb25W4q3 LW+sls9t3vhQ90ZPhD1n2fd+muUj7GS1pNSZ4MfCvF+Y90v7kx3fnO1+wlvs H8aUDfTefFO4pHdQ99Bhp4UHXznv7JTkKcx4pb1611x/Tmt7Rcbbou+7/mKZ d1vYrbhvqK65r/CjWm+qxPW7K8z7Z//G+z4+ZlDcoHdBwi+nByePP6bu3/j/ ZfS2sy2X+El7tlFmjl+ZBQhX02X3efxdiHBDi+Ix44NU+8hDVxs2fKmX/WOl fTsGlfTQKxMm+R6vuDJYya1m47E6T694Pum32KyfXp6X/SLPt7yiTcxXZcOE L5lEJza/HKF4Dp3tsydDL/tLzy8iW7f6c/71WbHMdcuEMKXj6Yz5fwTqlV9v H86N6hkh7bOfpL3Bd6a/iqz9UrjvmyXZS2OiFPf9X7yy6qiX/Wd2H+9F51bq lSpfdL221f6l0icxsWHOz3rFaYy32zTfl0p8k64bs26HKg0rmk6xjYpS/lxR q08qpleqmkw7vWV6lPx/7fq6u+v1ecMd1Pn/vNevC8fOjpHyzGfY86veSe1c X13Pax3YkNkrJ04JPf2p8cFTIUpQsMPZ3I3RikfJWz1OdwhWvvnW+IhL+1il 9yP74PDYIGXSuqSBp9bFSvvsl2lvSsqDOXVd1PVl3cLtC5r+Gq88m39n2s0O T2V/7THlYJdXlv5Kzd9+TJk2MF7xam57+cN5f2XZVRNvD7N4dT02rOe098Tn SXKxdur+IGWgXXq50klSnvUcexen0FmvryWp61PTA/PSdqr7d/qb48wGZ1I3 6cX/Zn+eG7Hmnn2SysdXHj1k7vpCOTz1cP9u20PFv+68z+ulxZlHsl93GvA4 qq7lXpn/rm7r2mVJ7dXCjqurPTvjF6qY5T6YPCTvieKwwzmmvHeA4lXy24Km k18ru4LPZ0YMeaj8NnSRhXtUgtLwS+PZVVfeVaYmrohbuDZJmVYxaEXp9X+I P/yo9xa747XcFPPps5626p+qdP0ubOqLA6eVU6kdvtu+L1Xmn75BCW0Th3ro 2P/D7P9h9v8w9R/UfxRd8+tdUh+mPkx9uOmFtO8ifV7I+213VTe4aX608JO9 m/IjqrwRnrPoRxe7lknCXwyrYWXRO004xDFttdG5DOHGm4fpwz2yhBcuudrq 6r0c4TtTTdbvefpOuLL1qudzIvKEJ/SNaTsgPl/4fId+mxpnfxQuaHTmRUFB gTB62K+hB0YPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MHrYX6IHRg+MHhg9MHpg 9MDogdEDowdGD4weGD0wehif6IHRA6MHRg+MHhg9MHpg9MDogdEDowdGjzY+ zP4efTD6YPTB6IPRB6MPRh+MPhh9MPpg9MHog9EHow9/BX0w+mD0weiD0Qej D0YfjD4YfTD6YPTB6IPRB6OP9QF9MPpg9MHog9EHow9GH4w+GH0w+mD0weiD 0ac9X8B/RC+MXhi9MHph9MLohdELoxdGL4xeGL0wemH0wuiFiSfg36EfRj+M folXG/TD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9G/6XhpqENuqSLfhj9MPph 9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0b/jNvHq9v9kiH6YfTD6IfRD6Mf Rj+Mfhj9MPph9MPoh9EPox9GP4x+GP31Wje3KnknU/TD6IfRD6MfRj+Mfhj9 MPph9MPoh9EPox9GP4x+GP0w+oMOnLFfUipb9MPoh9EPox9GP4x+GP0w+mH0 w+iH0Q+jH0Y/jH4Y/TD6N5duE5xgkSP6YfTD6IfRD6MfRj+Mfhj9MPph9MPo h9EPox9GP4x+GP09FrlXHbPzreiH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+M fhj9MPrhzYHN9jU/Hybx7Oj7NrkWaVHC2InfrHZudKJY6Tix19uQNNSjXoLw jUkXP83tmCLc6sjNkCon09V4+S5Ts1T3TOFHqzasfXgrW7j2vIRnx33fCs8c N6jN6tBcYY9BFzbYRL8XLtO9ekTH1A/CI8yWmVd5/0kYvVo9xItg4juw9r4B 8Q6YeAb9BSZ+J+cRhvOEL7+IyRkVni58b8nUbx7VzxReGpuwqMfkLOHWQ+dc cnPJFo65mZ7VMCVHWNsftfq0/jl2+idM/4TpnzD9E6Z/wvRPmP4J0z9h+idM /9Q+P/4sjD8I40/xe2jvM7C+w6x3MPM/zHwIMz9wXtu558Idyq1EiR993y88 oH7kKzlf5jyX5yNex/wBc349+bcpu2zPxkl/If7DfARzPlwha/X2Mk/TJN7c KfzQDLcxZyU+AxMPm98gwty050XhHYvXzKnX5aiO+DrlYeI7xMuxw9j5/zDv g/MX/e1tKcWvhwtjP3poY0sjo0BlsdOwA56BkWLfqvvtWOecV8LPXDPyqhaL FW5+2GpIWvnXwra/XXP2rRkv7LOy7scTjROFq81eM2xN22ThyTZxp8Z0SxUe daKxUZ3G6cLFfrc+U7ZlhrCL/Wbrd20yhYds9ywW902WcO665LOB32YLO62o N9KrV47w9wuHFHft91Y4deZa14OD3gk7TLw0asuwXOEeo1+XWDIqTzh2aE23 yePfC28fYGFjOSVfvT/Ta2WpnrM+CEd0dr3QasFH4XVto8aYLPkk/HXzKmXK /lLw2e9xJdzlhO3Zl8K7no/Yc+5AlPRf/Hns3P+BmR/p//5TZ1e0+SZe+jP+ BfdRtPcttP1HG69lfNM+45vnYz5mfMGML+57MD8wHzNfw4xv7ivx/7lfwvNz P4Py6EEvzPMRL6A97fPgf6KP/8/6y/tlfocZX/weMPMR9VnPYN4n44/yxNu1 8eT/7P0Tno/zItYbmPUGZr2BWW9g1huY9QZmvYFZb2DWG5j1Bma9gdkf/E/d d+E8I9Az3NQnz00HP+q5dmewt7OusPslhd0fKex+h/b+RlHvX/C83TpWqXHM NV04OvJicKUyGcLpR/daV89S2WFgp2rrBmYKO1es5bCpU5bwwGuew3J2qTx6 5aGQvBXZwkZNe9hNC1G5UkL96rO9coSv7LkdGFbrrTD7JZj5R3tfQ3s/Q3vf QnufgvGj3W98+ulezN7N6v0l9h9yn8ew/4DZf8DifxVyX0N7PlXU+xVFvS+h Pa9yj+vSsol+v5I22+zOxOHqfQnZjxj0fLkx4ruVGy8LHx5ebN/TkQd1/9vv U7BeMP9o7xe5NOts9+usUMU7MMbqw6zHivvvNzLW2YTJ+br2/HHIyvWHuy58 IfZxpe26PTZ+LlzY/RzWC57nQ9zohHW1X0r9Ja2cTyz1jhK+X6fch2EB0cKD Jlb+oW6tV//l83/8S/7/waGLj+Q2jpH2qpefa9nmRazwlPwAl3IJr4WTeoa9 C2obJ4x/Sntd2nYffL7bG7FfTPymIC47Xrj48/1Wt42ShLfUP3J8a/8EYfxb 2tN/WTJ/ynC1/NCHH88cKp8ifMTjJ+OlNdOEm32aPrTXBNWOf0x7i1Menawz Wy2fGzTxbIs96cJOfvYjajhmCE+cW7Mg/7pqx7+mvXJTLU4n3FbL97/rY1zy cKZwumfuucxjWep9krErrfT3VTv+udwntXI18n6slnd0bzkq6lS2cI/TY0r4 n88RNhoUdcY9SLXj39OeS58qI5zC1PKvj+w4f/3yW+Ed+71Gn7r+Tnhwtz7G OyJVO/EB2nvb3vbciji1fMfdmSX33c4Vjtjc+ML6+3nCh792GTkjSbUTX6C9 7xs9Lz4iQy2/frX1mJ8fvxc2W7q59ISgfOHk2uXP93mn2olP0J59lR6jzT+q 5YPneboPCvsgvHxa8thvIz8Kdys3v2SD4ioT36C92GJH3SqU/aTevxlfr2yL OJV9rYdc+iqpQHh7XpBN/pcqF/X+zF99H6ao91WKev/kvaldr9erPBVjF9Nx 31RLUYKdZnU/UEW9L8r+vteQ1T3H3ksu9P4F6xvxHNazjS0yL+mnqOyQHNQx YkiGlCfeI/slh8XZA06r+4GBo0bYDt6bKeWJB8n+yTiv/Y1Utb6Rz/PLXmFZ Up54keyn5q1c2Lq9ylfMx+WY18uR8sSTsI+JKHB3WqLyzD9edTgx8a34a3Lf 5S++X1PU+zI8X9SqIe9mlFfPq/Bf2O/C+Ccw/gmMfwLjn8D4JzD+CYx/AuOf wPgnMP4JjH8C45/A+Cdafdr7ODD6YPTB6IPRB6MPRh+MPhh9MPpg9MHog9EH 419wX5vfF8bO/W3sMHbuc2OHeX8w+zv6M/4vjP8L4//Ckm9k8B+oD1Mfpj5M ffwN6sPUh6kPU5/xRX2Y+jD1Yerj71Ifpj5MfZj6+MfUh6kPUx+mPvMB9WHq w9SHqY//TX2Y+jD1Yerjr1Mfpj5MfZj6+H/Uh6kPUx+mPv4h9WHqw5THf6Q8 jB1/Ev8Vf0zyIw35EZIPqcn/5H63nG+QT0r+pcFOeclPM9i1+Wz4M/hnMM8L 41/BvC+tnfWX9lhf+X+sn+hj/kSPxLcNz6udf7Tvg/kHZr6hPoxdm+/M8/N7 wsQTidcTDyReD5NvSXxTm09IfJ33aWS7vbH9iGyxa/MzyU/j/8P8P8mfMdSX 38+gVzu/ap+X98nzku/I/Atjp79IvrbheTj/gPGX+f1g/h/+q5xvGBg7/iV2 GDv+InYYO/4fdhg7/hx2GDv+mcRHDIwdfws7jB3/CTuMHX8IO4wd/wY7jB1/ BTuMHf8DOyz7D0P+Lv2N/F2Y/F2Y/F2Y/guTvwuTvwszvuk/sDY/lvgD84nk Qxj6N/msMPms1Mc/or7kJxjKk88Kk89Kffwl6kv+gaE85zEw5zHUJ15Lfckf MJQnng9zPiD5zYb4nuQ3k09gKM95B8z5JPXxt6gv+QKG8pxvwJwHyfcFDPFk yZ8nH8BQnvNTmPNW6uOvUV/yAwzlOT+R+dBwHkN94pXUhynP+Q7MeSvMfk/y e8nvM7A2/1fy+Qws+XwGZv8DS/6egdmfwNr9Busb481Z51vC5rLKrP+sh9h5 H+w/GE+v2hhP7b5VXU+16yv7D8arw6ENJ877Z0j72vWX/Qjj/4eyZeNMq6rr sXZ/AbN+kG/PesnzMB90e313g62Zul/i/zO/ZFj2846fn6nMzNtQvG8Xdf1n fSd+y/+X+K9hfdKeb8H4VzD+FYx/BeNfwfhXMP4VjH8F41/B+Fcw/hWMfwXj X8GrKzUef+XrYEX7PZe/On9c4r+G+kc2r0m0cVD3wweivfZUr6juX3f+8HT1 h7FZiuueD8sr/OStLJ30x9IUhwu60Cs/FjRs8lQJtPnYLer10X85H9z/Ylir U8sDlZ5hKcEWmar978oPLyz/++/O7y4sf/tfzdeGv7Cre/6n4FThUa8ntOy+ KU3JDF5V0HrjBRm/9875NymofF/G6/uskcVMfg2S+Yz5zdn6SKN9O7JlvnAp +0tUu2VXdS033s/PSPD5bP/O+NXmextbfygobhEg+3fKJ/j3Lt55+4Ui54PT v8fWNR/34eoDxe2r/OnVhoQo2vxWWS80+eHafPCi5n8Xlu8Ny3pR9by/91yd zN/M/z+GOsx6PTJDsfVc8VVusL/M18z3lWOc9+d6Zio7/PL8WvjoP1tPvthu PdsxL0vpcNf18owpV3Tm4dGuDatnKNtbBGX1OumrSx5it9tjVqZiNtL0fPov ITqfeb865rhlKb3X915XuoqfYm3nX6raz7t1HuvrOt/MCZLf79f1z9fMM1X5 rMnwivObBCgRgxbmjLrmqlj33VnCZlWwElapf2n3Q3eVpdNSG2zsFKLU39+8 +LUInyLnq6f/Mt0hslGo8sF21r4JV/0Ur+Z+O79KUucv9+RiMfe8Dussl765 PW9iurK5uMn6R/53dBPaRgXevfPn+rfh1LVPNgE697rbS1tW+nP+CjuRPN8j TLerk3ug36BsZfnGATXWfAwTf6zEjnfbyvQKlf1px4FnMivceCJ6f655/OCG W4+VrDkzhy28tu6z/HfGA/P51qNfpLaacV3t/8dqrJrqeUv4/Q6T/U7b7wuv 3bF3SIlYb2HbSKPlw2o8EX+P9ffe+/iqu2wcPsu3/6vzg0v0W/nri34PFPPp ffNSv3IW/7zZ5oAadUra63q7JpxxMXko/iX+6ib30uuWdz2na50zrKlfez/x P3h+7XyAv9A1cMT0aeNCFJMw5Xq7A/cVZ4s3m7L8VX80fnSpWaPMH4u/Ofdc 3THZwYGyPxm+0GOn6/og5ficYRcPTdApHY/u/PG7zUFKQ/cBTjnLdDJf8Pto v0dR0jJ9X42rZ+X5TIc8W+xczfmz5+X7C0XNt8cf5v/XmXS0ddMuemnfelKc 5aIKz4Sze50raNkkQtiz18zwiCHhwvjPcv+ngflmu+mRYh+wq2vo/HpRwvtX HTYb2DJaeEXBytpNvF4J42/T3sPUqPlGj2LE/mau8bpmHWOFO42bGmbc+7Vw rZd97ofr44Txz2lv2mOXuldj3oh9wyDfNi8HxQuHdGu98dqoROGrN8ov2pOW IIw/T3slz873nZOfJPZGZnsi7KckCy80eWs+f0GqsNXB4AYDSquM/097ln0P fbunbLrYJ5Q8d+9ED5XLfHw5z65Phjp+u/m/XlVRZeIFtOfUwWjPnOqZYnfL rmSyxkLlkcm9feYOyRLub2be3cZEZeILtJfeaHJ8f9NssRvFLlowxlpll3Dn OhZjcoQdTRzsOjZTmXgE7fWo+qBH41ZvxT446Nn9ThNVfutbbmGT6e+EX5d7 n1C5vcrEL2hvh7HZ3oLOuWI/fKdbvapzVf7ec+5Do0V5wh3fj+2Z0kNl4h20 F5GxM+l5n/diT77gtCh1mcr2pwLrR6zKF16fcNvhgYXKxEdoz+xVVq8rQz6I vduREn4PN6gc69jR9uq2j8LBz5qkHLNWmXgK7a18OsJx95hPYt+6a7rpid0q m28+8GjPvgLhxg+2fLdqosr/fH/j/63vbxT1+xdF/Z7F3/39iaJ+T+Lv/j4E 5SXeY7AfW/Yi0bd3quLlmmbafNRPOsvddyqXLp3+2fckaur7HGp9ebfES7C7 l9pZZU2bdKVU8egS9R31uuzG8yc8L1DjLxNPBsx61idb6XDAZk/9QyESfzH3 qzX82Pg7iv+15s/nFfPQ7eg0Zq13+jndhRgXj1U3/i1OvNB79EUfXe+N9/uF 1shUGoRNSoqbEaQrUfPF8ro/ZSmlluxfYDIqQEkvqSyocMhNcemrrG+YcVO3 ul+x5Xtn/7kfvRHb3tbFX+e/elsPu1tqfps2/sF+if0WjH+Dv0T8Ayb+ARP/ gIl/wMQ/YOIfMPEPmPgHTPwDJv4BE/+AiX/AxD9g9OHvoQ9GH4w+GH0w+mD0 weiD0QejD0YfjD4YfTD6tHrwL9ADowdGD4weGD0wemD0wOiB0QOjB0YPjB7t 94C156H4q9i156H4q5SHKQ+znnDflvow9WHqw9TnfjH1YerD1IfxF4hnsP5o 4xv4D+zvYfbn8n1fw/4aZn8Ms7+F2Z/KeZ9hfwmzP4TZ38Hsz2D2VzD7I5j9 DczvrdXHfoX1nXgR7xNmf0H8iPcPs5/hfhS/lza/jvkR1s6H2vNv7fyInfEG M95gxhvMeIMZbzDjDWa8wYw3mPEGM95gxhuMPt437187/ojf8XswHnn/jD/e N+OL8wXi9ZwfEJ/nfID1kfNg/G/uk+Gfs/7SHucBnEcQ/+e8gfWY+AvxAe33 WbXfO5L7eob/x/MSf9DGI7Tjlfapz/Ox/lKe83jO/yV/0ODvS/6ggXk/fH9Y vkdr+H/kA8GU5zyF/B/s5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B 5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/B5N/BzNdyP8bA ch/NMH9jh7Ezn2OHsTO/Y4exM99jh7Ez/4u/aGDsrAfYYeysD9hh7KwX2GHs rB/YYeysJ9hh7Kwv2GHRx/e4DeOb+Yz1gvEv928N5ZlPYO15KusJ9eU+rqG8 9j6OjdngPo/zsqU+93GpL/dzuR8QXXFyqUMqV9ofsE7pod7PZT/BfKbN/5X8 IwNL/pGBJf/IwOxv5H6D4XyY+Yr5D9bex2F9ZH5i/tHmG/5H57PEL/63n8/+ /5ZfWdTz4MLyIws7L/6Pznv/q/mK2vPLwvIXteebheUzas8/i5rfyPhiP6M9 j2B+GOd3qFbwf+I8tbDzU8Zj50+3lw/yeKC0jpkSa/XvzkM33t5e6X5P9bxL m++mPR/W5lcUdn6pza8s7DxTm39Z2PlmYfmZRT3/LOz85+8+H9WedxaWL6jN Z/lXzz8LO+/8nzrfJP/mv+s8kvwfbTzwXz5/LGL+7T/nhf+cF/5zXvjPeaF2 /P5V+d//5HP/k8/9Tz73f18+N+u7fF/u/7J84niL3s2P/H5P4hNFPT/Vnpdq 7+dp87ELO0+V78GcsfFcn7NQpz1f1X5vo7DzVu39sv8DkX5M1g== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlldwlVUUhfe5gRtMI4kJNxXSIRQRQogJVZq9EUVsqAhSDETs0Qd1xlEf 7Eqxd8c2+mAbe+/YdSxjmbGMjr3XsazlWhl4+OY//7nnP3vvtffZ5zYu7V+4 NhMRf4E8sAeYAhrAGFAKtgUVHpeZYlACloNlYDhYDPYHw8AhIB8Ugp1AF2gB e4FO0AgOB92gFRwBesBo26YP9GsATAb1oM126ccxYDcwyfbL7E+39+B4HJgJ qsFcsD0YBRaCqaDZPmYc+0FgGzDU9hv9W6/X5Tm+Qr8X2y79abLfybEXgKxJ 3ifj77LWoNl7rgIrQbl9yPr75DH92dd+DAG5rXKyBvSBStDu+RGOtd7xzgET /T4fzALjvX+D/ZrstfWOq9Ua9nuu1nvnvH+fxxX2vcJa8Lcaa17iXLA2dgjl ///8wfDleK4Gl4GipFqb5hxTzyXWsdAaNTv2jPPCub3B7taeMW1n2+P9zHmu zu9jwQz7SK2mOybuPdX7lzoWzu8MOqxLlffN2X6nfeAeY7x+MIZS69dtDart Q63tt9sHatNjfWbav2rr1GWt2qwdx7NDNV3rtSO8vsZj+jbBftJfno259v8E 680aY23McV6Z93le02Q9G8AuoXPb4j3ne1/qtMBazbNG/Jbngue/COwXqleu OdbvHPNM7Wn9+PuiUK841N8X+Z3jfGu8j/PT62/4+wG2xfFxfh/8jnuxZnhu eJZ4dlifPGM8Iwd7vsBPvvPMs9aWeD7f71n73etcMyeHObeDdV/p/C1zrss8 Ljcrt5pb7jk+V3jMGlkaqoUj/dtw+9DruFbbf64/DzzlHCxy/FxzFDjR/qxw vrn+5FAPHRk6ywPO+wLnZojnuI61wHpnb2XtHAiOd166HDfrkDXIumMd1sWW GuRZ29FzHd6DtTHRa2mXNTTL64+2T3X+bp3HrGP2lyo/13jMO+o355h7zva+ 54A3wa6Ov8/5uYLaJ2mzyhrx902gMEmnX8APzv334OtQTVwEvrIG9HdtbOkl /bY74DG15V10in1Y59i4tgB2Njq3F4AvnLd+r+G3w7AmP+kOpC8/2Z/Ftk/9 pyXFyf1vAs1JGjTi2ZTkXxv7aNK+t1HrpBxQmzf87VuMI8nfe8Czof7yEjjd tkbj9ylJvt0H8pL62ivg7lBvOBv0JPWA6XjOSIr/Y/BJ6Nx+BD4M3fln0k5S ntnvLw31y1tAe1JPehu8E+pB94OS5B6d9M7xe+Dd0P+Uz8H5of5SnOQr/ezC +N5Qb00Yrw/10QaMrw/1M9q8OWSXWt7omnoVvOZcU48/rQljfTwUbz3G14bO ATW+NaTzaeDnUP95EdxgW7eDJ0LnK4f1lUk1fSe4I3RW7qL9pPM2KaluWDOn gu9CfSmTlDPmqxzjK0N3SQ3GV4fuhM/Ap+H/OJg/F8+TwBnWhZqwxr8N1flm cJbr8DrHxrio3/PW8EtwYajP/mif6M9z1C+pX43F89HQvTIB48dCd08txg+G 7r3XXQesgWvsN33e4DwxR0+6tqjzSMw9FLobqVm1davCsyOpJ9DOuCRb34Bf Q/28BXMPh3oE/+j8G/q/+QDzkNQrLwEvh+64ziS9qBW/G5X0Lc/BZutDX+qS /LnKOaD+jK8iKUb69ULIN+rRmqTJUDyzSb2e5+AR60D7F9sH9rY/Qv3tb/BP 6L753bXFunoGPB26m1lfrGnW2Pvgg9D9+h/W59yC "]], Polygon[CompressedData[" 1:eJwt1Hdsz0EYx/G7qlFbrAoptUeqWmq1NrVXg9CIUUEQtarE+sOIIPbeK/Ye f4g/JPaKWLH3XjFiJDbvT+7545W7+/3u+/3e89xzF5sxIi0zwjmXjkhsxmy0 Qhzu4RE6Ixb7MQ+pqIsTOImWSMQFXLRno/EEL5CGCnhg79S7OqGSd24rbTya YzEuoy0q4iquoRlq4jpuoD3a4TZuohw64Jl9U9/qikm4b9+qg8e4ZXO7YA5m 2ftG4zj2oI3FdASFWeNQ2mzkoL+MtjKSLVcz0MRyVpD/V9FWRQqKMV5HWw2N UIPxDtpaaKGYGO+iTbA1lGG8gbY6GqMs4016Dk0t1rvoaDFrrftQ29a8GoV4 ZogLa/6L38oz+uEHviMf+uIrvqGP/TYVf2xuPfzEL5ub32KN5f2ZFnMi/RIo Tn8cpiCJ8XgX6uMNFrlQXz0t1yn8P9Hi3aJ99iE21UAj+sk+7K3mfMB7RKE3 liKC/+vbHnzBZ+S1GNaiqA+5V843IsaHXCqHK1HAh73THpWnf8WF2lJMUYxX 0A7GQDRgvNuF2p6ASMZ5MIB+FRzGGbR2oWY/4pOtVWsqxdxoH87CcOTy4R16 NgPrUdqH2tCeK5clfZirnBahf9RyO0x75ENNZtsat+s5H86Oauo8zqkG0BC5 +W+69bXmyXjqwtlIwkyLUbHF4ABeoTvGWC2tsW+rpv5hmp5Bf2zTPjBnJO0o LLccKneDcNpqqp7laK4Ld4hqQzWy0GpEtdEL8/ES3WwNZ7HEhbtAe37HhTOt s6wz8NyFmtP7dMfsRJwPZ0tnKp7+JRdqd6z2XLn3IVatWWfD+RCLzsgxi0mx 6M45iLe2tizlmLkJPsSmHO914Q7R3aEz+NByrNzqznyHQ/btdIttAXpYjK/t G1n22ynbA+U+1XKd04daUc7/A786mNI= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVmWfYVsURhjl77Eaxt1hir9hFY0WKICAgqCBNBcWORsUWrICKqIgiIIIt 9hhjEruI2BALdsWOvWFXbLFk7mvu93rNj/nm3Z3dmWe2Pnu+NQcd1XNoadGi xaXxpw69e+jhIZuG7BcyMGTXqkWLD0K+D/kuZFDU7RK6XUjvkN1DOoccGPVt QrcP+Uv8bh+yQcghtA9ZO+TIkLYh64UcFdIuZP2Qw4kTsk7IsSEdQjYMWTdk t/DXK+S0+N0lZLOQk0I6hWwS8teSuFuFnBDSMWTjkFNCOpvLMPyEbBRyRsgW IZuH7FWl/44he6s7hRwVcgC5huxjHXleWbJ+aMiAkO4hPUL6hnQN2SOkn7pb yL4hXbT1t667fvcy5kB97BmyZclc9zd+L9v1cYzxNdh+4DpcHPg41NjEGWIf 4h+sBuNBzhm2Q6yjz4H6w3aYPvB7hL73C9mqJK4jLYO3Z8jR5gOui0NGhowK GWZs4hxjDOIfqwbjKY4l432cdfSZUrJ+eMjx+iC/k8wZXFdEm6khWzPv2sF+ qv7AdVaVthNDTmddiuUMNVjOVBP/NPvRboR1w8zneH2NtI7y2foGVx/WYujR 9h9szudWWU8u55kzGMcZmzgXGBuMY9VgPN+22C60jj4XRqyxIduEXKQPcI0X K3lfogbjGOMT+4KSGCcyhvoFy1RxEH+yfcB7mRosl5oPtinW0WeSeWO7XB/4 vVLfYLxKzRq5Wg3ev6nB2zqwTQh9bciNxgPLTWqwXC92Yt6gpt3ftYPrFnGQ 3z/VYLlZO7n+Q027afbHfp8a+7/FCsY7xHVdyJ1qsFzMHIRsF3Krccj1Lu1g vNcciPEv7fi9Wzu53qOm3biSsW4PmS4WcnpKfNQ9qC8w9ov2t4V+OGSGOYPl ATXtHqmyDT5nmQMYH1ODZaZ2cn1UTbsX9Y2P+8VCjCfNjfF7WlzYn1GDZbZ2 cD9uHHJ9VjsYXwh5yBhPaMfvc9rJ9c8l2zzv2E9wHbwkLrC/LG7ye11fYHzF OnJ9VQ2Wz0PeCHkz5DXr6PO2OTyr/UnzmOsckOtb6mfsP1vbO/YD+yfGJuZH IXPE+L45M64fqMnjPfPD9qF19Nm+ZP27IR/rA7/z9A32T9Xk/Zka7F+Ib66+ ZjpGO5T0903It/om/lfmxhh8rSan+drB/oP4yOlHNbi+097gCx/Y7kvj4/cn 2zI2P5sD2FuUxErbX6wjj1/VzNVvatpVJduC97/6w1cpWQf2HUvmV4deoDRz XbCkni/e7/y9UElNeZGSOZDr4iVxE+cPJTXYFyuZPzbOaM5CzsQlStrJY6mS uMlv6ZIa7EuWtJNfy5KadquX7I99GduS03KlmcdKIQuXxLi8deS0gpo8drL9 siGLlswDrKuVzIEYq2gjjz+qyXVVNe1W1B/x1hBXSzkX3Ao+A/eDD8IL4Yxw QLjgWuZMHvDGtlG3c5V8cB25HRwQngi/ai/vg+vsKk+Ek7WVJ8LD/mR8xnVN 9dLyPvgg3KuzPBFe1UWuB1/pJE+Eh3WQD8KpwAHPgm+BAx4EH9pNLgl/a3BE 2nXSTvlU55w7Etx97L+y88P4UobzwAfAAX8aaBkeAl8AE7yrn76xDRYTXHB/ 41EH32pwlzOsw8fRVZNj4beHcQaIa4j2QbaFJ8Fpj9Q/seFR8K3u9gNTg0cO 0R/863Bx4WOo4zLIur76oE8X+zfiHyc++BNcZaS+4FAnGv8E7YdZd4K+htkf 7Kc59sSG1wwXy6mWG1wcLPDEKfIzfJ1l7EOMM6xq8kK4174l+dw5xj/bPsPE O8LxPl0c+IX7jBbHGMunuC7GiHuEc9ZVXIwLZzHn+Zyqyf8uEMuFlokJX7pI 3OMt42uc7UZoH1c1+d94ccCPJoljsmX44wXyrdHaJyrwluuqJse6XkzwpSnG gOdcUTW53ZVivdx2De44uWpyPtpN0Df85nz9XVY1uSDtti3JBa8xtyv0C+4b q//nTHdXTT53s+1usYxfONdNxrnZcoMX3mI8OBQcCR43Ti5FPrfa7irtt1ZN XjWjanLTGx0jeNSd1t0rPuJNs3yDeO8yf/jV7VWTd04zHr7vr5pc8w7zmW67 W7RPF9eDYupfkgvCk8gBXvRw1eR5s4w3U1uD583UF3zmKWPO0nafdbPF/ri+ yAde9IS4Z1u+x7rHqyYXfLpqcq9XxAo/gieBFb7zvFhftDxD+zNifUnbLH28 LO452oj3mjGI/7plML1hGYxvWianuZaJDbd519jvWyY2/OctsbxjucHb3hcH fOYjcX1iGUwf2m6O9g+rJnecK9Z59mnwtk+1w2G+FOvn2sD6heW52r+omlzt q6rJBeeZDzwH3sP9Da/53tzma+N845zlDO7vb87gZ7iz6+QRA7RjW1Te0Ljf VpaPbBxtNwk5sWSePxjrW3hayEHwhbC3qvP7zYahN6jzmw0x9pKvbB51W4Sc XPIc6O1ZsF7UrR9yPNwh9Np1ftdp8LkFfsdjwHdWyD4lvw/srS/Ok8n6Y/9h 72Yb7t9W8hnujk2s4w7dTP6AbVN5xeWhR9p3QsjEkm/A7iXf5Zxz5LSjefXW 1tq29DkHvyXfNqzBniW5PvO2s+MCf+tVkq8zj9tH3juEnGr/CZ5X3FeTvLP4 njfW36tG29VCjrHuQuuXibplQ/gAuGbotUKO0xdn4O2O1WWOG3qy5yMxL7It YzA+5OT4vUv4aBNyepRXDL1SyNHxe/nQy9X5zW9f24N3lahbuc7vhYwvPI1v SuR1Sch/4vciYV+4zm+EW4Xess5vfv1t0897jNy5x7YL+7Z1fv8b7Vjjb5uo a13n982LzIH52inqdqzz++IaoVev8xvk9JBF6/wGuVTolnV+vyTOpY7hWH8T f4mwLxlyhHM82XEj1sX+Zq3xHQ2+tUfJ7337u4/h+bwN2Lu8C352b1P3W9V8 C/1SNd9Cv3p28B75yT3/s+UGj2c/NN4t1DXeOewZzgveFpUx4NJw64/192PV fJ8sWZpvGNrBk+HtnasmF4ebE2c1Y+N3GfuwP3mrNN4xy7m2wcIbYwVj8Mbg DUQeS+iva8l5gAvDvdc3fktj0qdNyW/McHnirSUmyrw1OupvdfFR5n3RyTEl 9hLusQXE+JPjuJhz1VUM7OletmVfsm/Zs+xd9jN7mXnew/llf/coeddxlnRx vZ8f+uyS58J5ISNKrhH2wRbuBXLaxTzGhD7UXNdVU3+F/VhXrfXH+XOmGMDC GOz6u7zbmjvzx5uri+c1Z3rjrljY+WEdMAaNdyR6EfvwhurqnLRzXijzbmqc o7y7uhmng/1YO+1dP/jYTT+cr7zfenge887srr+O+uQsYl+xpw6OPTekzrF5 PmTxOueJXNmL5Dov5LOQwc4BZwZcY0DJc4S6No4t4/1pyPyS79VuzgtjOKrk vbK1Y8zccdbv4/zRlnONM5E3wceh72UNWDfKvpcYl/ONdTFADPyvhfczb2fa cG6BdUjJ+g5V+uJ/M7TlTuXtzXsbTbmdPoZY/xNzafn9kPdC+rqmDnNdcDed b06TzIGzlPPvPtcaZzZnN+f8dawJ8fS1nvOwXbS/v+Re4c7/WkwHhJxr+xJt 6jrHunfoOSXH4K6QexwT5p/7bTPXDlyglWuHO2oj2860PWsHXsAamVsSH7He DP1Gyft//4j1Wsl9OyB+v1py3/aN36+U3LeD4/frJe/tu0MeMN+3Q7/lPA90 /PHPeoTvsMZZ+9x1rOvvQ651/H8J/WvIwSFfhVzjHP1W0kY9e5F7mD3EfcW9 xd3EOcFdurnrgPXAnTvK9QS228TKb/YT9zz7rH2d+6Gr/s5xrB4J/ZL+WRc/ uDbauIb4hsM+GSRONGX2wnjjsj7eDdmjzrnnbX1Vybd445sg58TjrI06z8VO oTvWeSbNKLlWWCe7h+5c5x5rfMPinngo5MWS+6t72HvUud+61pkz+baN37vW +T895rNfnXMKlqtLnofMbZ8655f5H1jnGng25MA6eRZnJXf4RO9rzhd4zgvM c51nKGXudHjjU6yBOu+BJ0P613kPkN8h5jg09Msl1/Ycy/yeKjbG7OGQI+rk ptNCPim5V1iDB9S5Dmex7uq8Q/aqc58wjz3rnEvmEZ7+dEm+CJYnSuLhPOJu 4MzhuwzferiPGJ8rna+ptmGsPgi9d51nE+M+1rGB43AuMEb7iZH1/1zog+rc 27u4Vvi+x9r/puT6Z71/7lpizGaXHLdudc7xNq4p+DRnJuvlsZJrZsH4vVCd 59Tljh1trnaOp5jHVeLfk7mtc71/UfLcH+wY31FynLnTeK/AOSr+6V3n/6jx i7/h+p+qz6nG3tp5eLTkXPwPcZP3ug== "]], Polygon[CompressedData[" 1:eJwtldWOVUEQRe90YcHdfQZ3dxicwW1wdwZ39+CQkPAJkOAe4AEnBLcQILzg TpAgCRpg7VQ/rNSu7r59zuneVbfcqGm9p4ZEIpEBmWCAJRKXGWgCvWAY+XVi M+gDg8mvEptCb2hPfpZYF7pBDvLTxArQFa7BUPO12mMM+jaxBbSE+uSNYQm6 JlRF14QF6OrwG5LIJxCTISc6L0xBV4Q/8A/Gx/kT8AaGwwioxdp6sAhdA+7D FPKtxMZwDyaRbyE2gEzobDAJnQL50IVgGrqSvgtdBeahq8E2eBuf1TqJA2Ru B7pV8HfOQ76L2Cb4Oxck301sG3zPDuSdYCW6nvZAHyHWgRVQljwF5uhsoAS6 DMxCV4HC6OIwA11Z94ZuAcv07ZAVvVP7Bv+mluRtzPeuDaXRe3WPwfdsTn6Y 2CX4HkfhJQyCdXzfBObvxrvWOx+DZ9AfGskHzB8kpgU/88rk+4kdg59ZI/JD xM7B7/w4PIJ02M7+NZg/gO4U3APdyLvCQuYGkv+A79COfBzxJ/wKrtsz9oX4 WeeLHkv8CJ9gdBxLZq99OvfgZ/oB3ut+knyNvHMSRkYPpbO+r+6E+SHkf6Mn k6PnvsK34M/SOz0gvoah0BOK8ds9mgt+R9nJx8NGdCqch6fQD9bAC3ge/Ft1 5lnMPSkvZsCpuId+qxrT3eYinxzvOLd5jag2NCYvZjb/rTxZytxD8s7M4N7M Tz41erSAuefldY3p3Uuar9U3lDf3pLw4O/hdNyBfHO+8oXlNq5Y1Vsm8ZlQr c4N7oRr5/OiJ6uY1r1rXmO6movla3ZG8Wc78WfKovFFbfogeqWNe46ptjclb TcmXRo81M68J1YLGiprXjGplevBaLGKuVZOp5jWi2lgevBZamWvVRAa6B6xF b9Ydo7ub9w6NXYL+5nevHtpHvc+816yXT9EBJgb3wEXoZT4nj53Tc8hXB/f8 Q+KF4LWVHr31KrgX5bEzuhfzXqsePBJ9k9gc+sa9zkdvac/O5j1HvWYV3ILR 5mvVk9/BHdgQvAbGMvc4eG1p7AaMMP8v0DOexTPRWagHqLeqplXL6rFX5GPz /xL9Z6jXqqeol6jnPoGJjG2KNSCdZv5uGjPzHq9605n9B3e9st0= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm8z0UU/fG9Q1pF6BVCUYRQUVqlBZFSWrT7o71ky1LZU1krj6iUtVCP XrZKJalEWmmhkFZtvLLEo3SOc96n/jife38zd+Y7M/fMufNezc5dOtxVOpfL zSqVy2WwN0Qud0TK5YbhRxv4FwKj4W8DegCDgCXA3UA/oAjoBgwANgNdgf7A ERiXBzwNfwfQExgMFAO9gAeAf4A+wIP8MGL7wj4ElIZ/L+zDQMC/L9N6ysC/ H3Y48CfQHRgI7ATuAYYAvwOrgbeAt4ERwCjgEO/jUWA8MAbIB5a5/xHgYMR8 ALsSKAd/DexyYIJjxwIV0H4oMA7+ZOApYGKmc+J5jXTb4/7ORFvOURn9lYAn 4E8CnnTsd8A7wFKvfanXPQ14xrHVMa4aMAX+DGCq++ugrTYwC/5Mt00HXgCe c2wt9NcEnnXfJK/9ReB5x9ZDf11gNvx5wBz3z7ctBBqivwHwEvyXgbmOfcWW sQX+JtfSBLGNgQXwXwMWelw7tJ0bGrfZPCKfvgY+Nb+KzCPyaZvz3N15H2DO kVfkI3l5AOZbC7vCfCDXepo/5BH51B7+BaG17MnEQXKRPBwK9M7EQ/KRvCQP yUfystj8Is/IQ/KRvPweWOf8ce1fAV0yrWWlOTPX+15onrybiYvvZeIjffKT HCQXfwA2ZOJivrkz3nyZZE6McRt5Rj5O8LceN6eezP7jH3+TdxM91/uZeM05 1vjM8h032d/g3Z3s8TOcV/Jkqn+TW+TjdI+Z5pyX9DGW3CI3C9zH+8H9jXAf efV/ns3z3qb5O1zHdP/mfIWOJU8LvaY5HsczJjfnO67QYwqy/zjKHLRCzMew b2Ti3BLnq7H5yPHnmiOMJ18Yuwi4KMTdD+Gv8th+3g/vLO/+z8CPzu1nmXSI /Z9n0qNRjn3H8V9m0iDm/guPIx8uDvH1I/hnwZ7pdY9x7vKNFc471/Kp93KO 18j9rDSPqFfneT7ujTz9xPGbMt097mmh+xd57au9/uXmCr95IObZL8Sjsf7G OO/vM8cv856533e9t9Fe71qPoybNdI5XeQ1LHLveZ8H6kWfuci3f+vy4pw3+ Lsf95P1vzHR/2P+r88F5eLd553s5P2x/LJO+bDYXttjvb7vF+aXWFDl2vefl nH+4nXpEDf/NeS1yH+fZmkmzBtpudTw1i7pGTdtuf5DtdsdTv3Y49i/7g23/ cjz1aKdjd9kfYrvL8dxzsWN323/AdrfjS7S1m8/mF5/P3z63od4zz46aRc3c 63byYv9Qbve6r6Sml7Ke0uasp9Ti0q73WcinRvf1GGpv2ZDOstaz5pfxO4Cx medhW9n/aXH43UBekp/kbJVQ3WXNJe8OCvG1RHPJz/Ih/1HziXpKfjYNjefY CW6n38d77O05ylu7+Z3D/eZhbAXHnwxb0W8Gth3mdqKStXui/adtK9vf4xww XxU9J+dp5Vq2OJP+5vltUBX2FPtHht5hnIdaXd1vgGahPrZPcR/nYGxVjz0d 9gTX+qM8lu20NTwPUdM1YKb9Wba17B9tn7Gnhn6XvEOq2Wf/MY4nalsXCuzz TdIc9ljH0NaxT3ucY6j5db3m2fYLbOu5nWdzlPdyvNsZy702dExtz8929td3 O9HAtWe+/QW2De2fFpp3tnPX23ckz7ngd6nPrDevZrJN7JMXTc2NE93OOWlP cswZoT62L/B4roW8a+acMj+n+mx5rs19Vjyn07w27ul076tRaF7OxxrDWsOa t8HcHec21qE34bewz1jas93OfbUM1R7ac7xm1iHW1JdtWYdYY2j5+3X457ud Ps+ykdfDNvaxbrFe8g0xwvvm/Jyb96CV19za/mLfkdZeJ3V5ned4zWNY40Z5 TupBCmkI9aRt6K3G+Idhn/O+auJvo+6h+lYWfpZ0P/9G266Q5t5IjiVp1zr4 d4drI+znoXpYA/1Vk/RrDXBXqN7ew5yEzr4385XEi77AmUl55jraee+0F/nc uKf23vvbsEtD71OecTvH8Bzb+/zv5P0InQvbLvbYnbDbQjXmSHyzStLZVIat kKS/h8IelKTrB8Lul6T9jWAbJ+nsibBNkv6uagl7v+9etaS/M3nOPIPqPoce ofPl2TaArZ/0rq8NWydJ01vDDgxpwPnw+4c05T6gRZJ+nQ17b0jjToLfNEmj 3wdGhd4JpdH2T6j+PQbbzXlZQRuqc6ckjefYQmBs6L12MtpuCmk++cKzYf1q jvZeIZ0+A36fUP2oB//4pBrZj5xPuqODgDZJ9/JqoFSSzneE/13o/XAZ7POh d8i1sAck1dNO8PeEaveVsH+G3gNXMW+huj8P9pZQHb8C9vfQu2I91x56q3XC fJeE3oLXwJZJ0qtx8FeF3gG10DYm9J77ArZz6I12PWylpL3zPF70mdwM2yyp nl4Of1PozXMdbPmk2j0b/pzQe+oV3mngG/gLYW83D+fD3hrSkAWwt5nDQ8jn JA17CLg0SR+HATNCHB9KPifpyFZgS+hdtZl7Cr3DXoAdHXp7fs/vh958P8P+ EHrDDYedGdKQAbAXJGkqvzPN36I2TPG9/AS2Z+gdeins6tC78NVQPpiLt2CX hN6Mi2HfDL1r54biGDMd9sokbZ0c2j/3PjV0RjyfD2HvCL3lj0PssUn/tyB/ 3zOHqStfhrQln3clicOvw78saZ2HJ+WSeSyXxANygHd6f99rns23Ph9yYYP5 UDEpr8wpteEw68PBSXwlV9uT16Ea2xb+4FCNJAe/Ng9/DXGFPOka0k1qZpeQ PnL9K2E/CL31yevlPqtlIc6Rbx8zJ6G/aZjn35zrq/DdZ0O16ytgbeh/Rczz T841dS7PWrcxdPf2vf9D2r3v73bYRebMj6G7ynvagfcyVJsj6T7zLlMjD7FO sj7sDtWI7aF7yztL/l5uDpOnf5ir1KdckkaxziTXmqLQfeZd7ph0T3hHRobu M+8ya1dbr3lvSC+oFcUhjaA+UON3hHT+X2/bvCg= "]], Polygon[CompressedData[" 1:eJwtlWnQ1mMUxp/6nxslFElERWlXKb1LRSVeIsmrLCPLVD5YYyyhtLyVpGHU 2NesM8ruiyVFi0RJOxWppJKsk5Amv8t1f/g95zr38n/u5ZxzHz90RPWNtUul Ug0ELONnJmwoSqXt8BS6KpVKLbCV8BpMg/vp+wY60Dccfx36YOwseBVW4o+B V9CXMqYP9kv8+dgbwnO/h8fQ3ek/AtsNVsAj8CN9O+Bj9IXwE3oLDGLsQ/hf oTfB4+hTaTsKWwZ74R+YQN/f8CL6KvoHYpfhP4+9En8A9gv8N7CPwk70t7AS /Q5ML7yGEmP3409E74XW+MPwv0bXwf4L+8L/pTEvoy9mTK/wnuujG0At9L30 P4s9H78Ttifsgb9kC6/5d/QfsBtdA39Kh7XGHMncRlDQNgX/CWxv/CbYcvhA 5xy+O93BKvRsWFj4DGsxtnbyXibB0/T1w2+te8h3ewV+/3zH72Lfg+/QH8GT 6L70N8NWQEJH8rf2QUPdZfJetcZnoD9+e2wPOAx9KEwufCYHoA9MnnsPDKXt 9fBdrIU30W/l+34QdqF/1hmhx8MMdDXzuyoO4Df4NdynM6xLX53kb++HhfTd DhvRW+Fq9IfhWFoK1ei5sFlnp5hmbr3kuVrzdfRdjt9P4/DXhedo7C6dEXoO zC/8jYfRy/P3tYdLks9UZ9lb+4L14bnz4LzkGFFsdIAz8cdhW8IJMDB5z9pr Zzgdfwy2OTTNa5uac01r7Il/F7YxNIJzku9Ed9EGzkqOge75P8rwuyWfdX38 tuiTknP7M9puC5/h1px/vegbjX8sHAMX6O6xp0AXqMS/A9sQDoeL8AfD+4XH lKMrkv9rGm0DdFd5bx1zLE7HflI4Jk9W7sAS/ENyrr0UPkvlXCv8lrCY/oO0 JuUGJPR9tJ2Nrsl7bwXn4k/MZ90O2ifvWXutG871dslaOd8RfWLyt+vBZegp 4VrSN1xbnlNMFa4xt+jeaFuDv6hwreycvHbVzGbo5soB/Kn4TdHHJa9VbUOk w7WrKlzLXsixp5p2vfJUMYa/vnCuLwjXVuW8zqJNcq3Smdyk3ILV6AXQgr5b w2tTfG5E3xzu05o3oEeEY1Nzrs1rqsp73KL/gl/QY1Vj0DthXOEc3Y7eobws 3LYN/UN4rNqUK/PCtV0584DOMryXFTAyx5BiR2/EYsWhvlG4RuutWgLbCr9Z a9Brw7VDMbMU/Xn4Wxqj2OmqGhSOoTtzjig39IboLdAbpLdHb8Lb4TdKb5Nq Ro/kN6csx/RpyTW4POdYn+QaWZFz4ozkN7Qy5+inOusc69rD0fQ3Tq7litHx 4RhVbKomT8gx+n9swqhwzinXVPPvDtcA5b5qcpfkmqZapj2ODdcQ1Q694ZNz jio3VTMnhXNOuaY3aTNsCr/dutNrcowrtpWz/wFAugs2 "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm0T1UY/Rnud0uZVUKEIkXz9EfzPK+W5lq18iJJKaHiIWWePUNF6pl5 KZLI+IgipEmaeCrNMg+pF6/2bu+3fu+Pvb5zzz3n3O/sb3/fOes2zHmiZYfy mUymT7lMpgLs2iSTmQUMA56MTOaCNJNZjfa3wCtAK+AjYB7wKvA98C7wGvAj sADIBw4A7wEzgJ+BhcAE4HdgMTAJ2AEsBaYAvwKLgInALqAQmArsA5YD04E9 wDJgGvAHsASYDBwEVgAFQA+gA/AE0BloAzwMdLFtCzxt+wjwjG074FnbR4G/ gZnA68Bmr9MJyAUeAx4Hutvye109rz3Q099/EnjOtiPQze85/w2v18u8zjW3 xfb7eSAT8q8PUD7kX1+gYuh7/YAIrdsfOCLk3wBgDDACyAMqhXwdCFQJ+TcY +AJ4ExgKHB3ibhAw2/Hn3DleZzRQC2NqAsPRrg17HDAS7ZeBUR6z1HFrb41Q F62BehhbF3jRGpngeJQ4Hr0T6SjfXDfF2CYh3Y312tzTQmukreM/xbwXWhfk ljqa5Lgus3YYp8XWC2NMTc1w7KqF4jQkkWYLHL8ix/4p+9TZMSvVU+ckq6cu SVZPTydZPfF5PbDSMS92zDvZ11zrolRPud5PV8+nH4wXY1Oqp57mt5vHdfB7 zj9k7dC3WY4vY0kt9bZv1FIf+0Yt9fW3qKV+XpNa6u9vMOZ5XofxesH7pZYG +dvkcLB9o94GeC810N6YSGtvJdIW9US9DbTPbyfS2Si/G+N4U19s5/mZOqDW 5ieqPa09h30vAV8CG4DxibQ21mu9kyjHcoBTQppsY56nmEvGdILjyXf5SbZe TEyyNWKy5/F5kvs4f6rjSUxzPInpSbYeFTiGBOtKR9uZbneyRqi3993u5fkz vMYnwCrH9dNEtZmcrjO/I4zZ5u0z4EPzO8zzhpu3OeZ1hf2gX6z3HUPrHnKc XzDf88w5eVpobsjfUnNAzhaYN/K0xFyRv0VlOFts3shZoTlbA3yQqBaRs+Xe N7lcZi7JwXvmgdysNFcF3gP9/8o6GO+9rvKac8zDCNt1bq/yt4eay7Xmib58 7P6vE515r5rX1R4zy/Hgd6jvjea29Jnttx0Dfp/1jPrMcaw+9XrfeDy/9UMi fZPnDd7LQ0DD0DiO2ZSoLvK82JKoTpGHV9yf42fWLmqKtXSTOWkWyoHNbhf5 W4zPb45Pkf1o7Zh/lyhnWJ+3Os6M/y+OLWP+k3XB2G4rE//tSVYjOx1zxnNv mTjvLxPbP8vE869EumQtK/ZeqJfd1sU/7me9o04PeSztYfcf9jM1zNpX4rHF ns/8+tf9rI/MO9Zr6usO8DPK9avE47hOuVA9LT2XK7j9rJ9ZV5NQbWU9ZY2r 5LOZtbWiz3L2HeVayTXKR/Z8T9w+MlSLOYZjK7lusi6H7wFpqF16BzjSbfal 9uGY0Pk93HpjXabmWK+r+OyvHKrLg9xX1e3S2LMusq+Kaz3X4tnAXOC8yvaN Z1Q13zPyPIb3hB4eRz6qh8YM8djqXrOm/eT4XO+He20U2gO/yffHegzvE3V9 Tox1e1yis6O27xvHu83xY/yO/eyrE9k16nlufdgGbjPO5Xx2ModODOXRCR7P ubT1Pf6k0Dv2Nw59m99lLWEOM383ej/cC2tCU6/5rZ9zzDnzlDk40j7n2Yem vhdt8HjO5T5O8nc3ey7jRZ4a24fzUds7hGoe3zfz+rdRayEfmfvNXB+e8f6Z N58nqoOsgW3Rd2Gq+rsW7TWhO/sE2JtDdYjvHwmNGcnYhta4nlylivsxsNVT 6eY02M6h2nwW2jeG6uvZaN8UqpcTYU8N3ZXPQf+DobP9PtgmqTgYQU25zh6F vjRVPlSDPTpVDtWBPTaVlvcBBxzjsdS7/TwX79uEavEU2KmhOlgZ/Vc7H7le Fa9ZHrZiqnyrC3tCKk3Xg73O2j4T7ZZonwyckeqZ7cPAv875O0P7597bo316 qrPoAcYrlc4qwF7pvP4LtjhUP45A/1XO/RpoX+N8PA7ta53L5LumOScHtc1D CXBFqOb8DXt5qKb9z585zAVamfMcxiJVPhwK+UEfLgF+DdVe+phJ5SfX+9Nr 8jv/+FvdYV8OnXH0PUnl/0vsC53nY0LjOGY0NR46Fy+F3R6qydxr1VT7Jd/H p+Kc/N0Q4rAF2l1DZz/5qJWKk8vQ3uMcv5g2dC6ch/ftQmcCY14pVdzJAfVH HsahfXuoplLj462fPrCPeu5vsD+Fzpu9sDtDZ0mk0g01swP4PXReNUilIern oDVKfZZLpRXqJB94LXT+D4VtHqobt8LmhfK0Bexw88b33TyG+THMOcIcfd55 2gv2otDdYSA1Hrq79ITtEboDMSeec17cDds4VY25JZT/zP3HQ7WGdWY62tNC /wnuCeUzc/kNtGeG/hnMgX0r9J9gLvUVulvMh50X+jfwAbkM/TNYDrss9A9g KWxh6M6xGHZR6B/DAtiFoTvNCu4vdBdZDfth6C4yC3Z26O6yK6Qnaol1ZZJ1 zrj94th9Qc5C/yQ+gf049E/iS+o0dI/5Bvbr0P+PTbCbQ3eaz6iL0L1nC2xR 6L/F97A/hO46P4f0R+39CLs19B+CuvjD2qB2dls/20L5xlz7CHZ96G60P6Rp 6rkA9vXQve0UcH9/6HyiNqlv6vPhUL1jTBnz5qni3gj2rtC52ylUo1mfT4a9 N3S2/QcF5HZJ "]], Polygon[CompressedData[" 1:eJw1lff3UHMYx2/yPFecZITqNPXNzp7xF9iy91EOx4myR47RVrZsitKOpJKG kkpTRdFASUtUKhQKeb3P+/rhde7rc8dnPJ/n+dwW7Tq17bhXURQ9YW9RFkVt 6BlFUWZRtIHV8Cft6bABXw+P47vhR3xj2rvAs/hzsARvD8vxs+BTfAf8gH8P I8J9Po+/AIvxflAwdi2I9Bya4I3hSfxA7l0Er8Ay2m/CwTw7CHrjdbm/CX5O z+UfWIKfCdPw32AOPgsG47/AXPx0mIpvhUvwW2C85go19H0t7UbQAC6D5hqT 6wqeN8WblZ7bU7TP07xhET4KTsNnp8eaArfhXWEBPhO64d3Trpjejl8KC/HP tEa8dTqWitF1eG/4Eh8D5+O94At8NPTBb4bl1fua6+W0vw7P+WV4qepvKdyH t+Kdhlxbwv1wFO0mXGvgO/gGhvPuzvDcb4UZ4TW0LN2Hvj0U7obDuXeIrtAR HoC5vDsLjuPZPbTnhNegWN2RfqaYLdNcYRj+e3jvlqZde3gX/iDMw2eH135n 2hWDexUvxpgfHuNV2q9V+aU1d1Huap7hNXTGH4ZxeDvYjG9J505XeAZ/Ov1M Od2Cvq+q1lq/yuW18Fc4p7fhW9Pf7oFz8LdgVXjMc/ET6KNVen9VG9+mY6sa OUN7C7/in4Rz83PYFs7RBfh8GBK+d0TpPaupcnSxcgGGhvtYWdWwavePcGxX pGtRMdberko/0x7r26/StaI+1uBnw8jwGvvj/WBleE0NGb8R1EvXaHuuL6Zz SzV6Cj5FNYlPhr7/50iVk9eka0y1pRy8Ho5UzadzcGa6hlQ7W2AkfiJMwNcq Rvip8DG+CT7ET4ZJOptgUnoOGvsnaEDfh0Gf8Jz17gTYGP5Gudqh2hvl7EP4 1enaUk7V49sDYL/0mbNDuQnd8Fpc99UzqIM/wb398bqlXd+8oVyC5tp37m3X XqdzRX2Mxk+Cifh6OKb0maezTt9M1VrhnXBMr0znpHJRNTcRPoKB4TWpVq5I n0WqmbbpM0brUw7WV62WPjsVkx5cO6nP9Bk0RPmqPvHVELybpf8NvWgfW61J a7lJOay+03s1CI7HB6lOtDcwWHOH/uF7j+EXp89+nbkD8QvVZ7gmdVbPS5/N OrN3KlfTse4eroVFsD1cE5rrcFgTnvP7+HvwNr4unDuj0q4c2oP/Cz3C/5w6 rG2f0mvTHu5SbVdj1eY6AoappsNjHM27N9JuBk3hAhgAY8Nr0Fn8qGo4fCbv xv9O96UxH0nHSLHRO8rl6bA5nNMz0jFVLHVPtXFDNVbjKlfGwoZwzqg29Q/T v0s1ujB9pugsUYw093fTtaM1aC+GpvdWe6LcmpauJeWYcmlyunaUU2Pw8ena GhCO7QfpXFWMx6Xf0TPNSbn0evpfqZz6D9DzO0Q= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{34, 1, 5, 9, 246, 237, 238, 236, 240, 239, 127, 242, 243, 241, 245, 244, 128, 248, 249, 247, 251, 250, 129, 205, 303, 179, 235, 146, 233, 145, 234, 178, 232, 144, 230, 143, 231, 177, 196, 142, 176, 141, 310, 309, 126, 228, 229, 225, 227, 226, 125, 222, 223, 219, 221, 220, 124, 217, 218, 214, 216, 215, 224, 80, 34}], Line[CompressedData[" 1:eJwt0tk2VgEYgOH9S8ZQIpTpr6REK7GWIW6iS3AB3EOZc6aUKYQm4sQs8zKE ZQh3IzwWB+96vu/bZ3vvcE3dm9pQEATN+qBNTSrC8SND7OANTjOBnbzFLiZy lnfZy2R+YQrn+YB9vM9+ZvIPsznALH5lDhf4mMN8xG/M4xIL+IPP+JPPucwi /mIhR/iCJzzSsdr02q1aVWqxv9eYxvVbK6oMXb2DNa1qVBVuTdxVqTlfT/VE 390WVW5u5D8d6kAP3cJqMLdqULn2Ie5oWyX2dGUoVWm6p1ea8/wOe5jEbt7m DOP5mbH8xDgW66W27H81pTJ7PaMZo0hF6abeuZ8Hlx83CE5xpv96q3VtaEL7 atfe9b9xAQinPlw= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{319, 318, 322, 757, 748, 749, 747, 751, 750, 676, 753, 754, 752, 756, 755, 677, 759, 760, 758, 762, 761, 678, 735, 869, 722, 746, 700, 744, 699, 745, 675, 321, 320, 319}], Line[CompressedData[" 1:eJwl01lXzHEcx/H/TMialBbtk122bFkSolL2sRORjjW59gg8Ao/AhV2UtXOI yk5kX8oh271b62uOi9d5f3+fuZyZSO2haEMoCIIuahxRCsNB0MyiuCAopYSF LKDJXqzzmcM85nLBXqSzmcEsZnLePk2nM4VCptJon6STmcBECjhnH6fjGc1Y xnDWPlJHkUc+Ec7YczSXTLLJ4rR9hGaQSjppnLIP1xSGkUwSJ+1DNZHBJDCE E/Z47U8f+tGX4/ZAQ/x0/+E3f/lFnD3MbvYwkOv2AXpDB+lzXaKtulhvapm+ 0L1awVLKqaKSfXz0+SfaWOZ9S69xkeXeK/js/sJXLnHA9lLbWelezSr202u7 TL27Q3v4wBUO2l7pbaLutazhjncLV1nnvZ5v7u+8ocH7tW7Uu7pB7+kmfatb 9L5u1ge6Vd/pNn2o1fpIt+t73aGPtUY7dad26y59orX6VOu0S0tIjn3XpJBK Gumx3wUZZJJFduw3RC55RMgniTA//Cd6eUYbTRzjKEc4TH3o///nH0jaWkU= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0UcyBEAAhtFmjJxzDkei5MxaYeR4AoV74AaOIN9AzjlnnrJ49XX9u+6u 6R2o648LIcQYjIQwwA61CSG0RkOY1z42WWCNDdZZYottVllkhWXq2WOfXQ45 oIFjTjjijFMaueCSc665oolb7rjhgXuaeeKZR155oYV3Pnjji8+/u/BDcKdv jdc42pwTNEqEJBJpt6doKsmkk0aHPVOzyCCHbDrteZpPLoUU0GUv1hKKKKOU bnuFVlJONVX02Oe8/ywzTDPFJBOMM8YoIwwzRCzy/3+/nhg78A== "]], Line[CompressedData[" 1:eJwl09lTSGEYwOHPyJ1/ImTfsmQPESmiQky2iUKmsmdN9vWCQhSKJKYhhKwl qdBV9qXwp3gaF8/83vebM+dcnHMiM/NT83qFEFro6B1CCaWUU0EVNdRSRz0N vKCR2IgQXutfzpif8ZRlfUKo1nS9pcv1jp5mpXmTNlDFGvtNvc0pVthz9AnX WW2/oTWcJMO+UR+zxLyUNE7YU/S4pmqlLtJjmqxHdaFW6AI9okl6WOfrNU3U Q5qgB3WeXtW5WqTxekDn6BWdrYUap/t1lpbrTN2n03WvztAyjdU9OlV36zS9 rFN0l07SAp2sl/QhO2llB51c4AH3yWa8a2MYx0QmsN55O+9o4wPv2cAjnlPP Jy7ykVLquEcm3/jKF7ZSzCr3Pqd3yaWFt7zkM2k084bGnm+Dpp73wU9+8Z08 fpBPF2f5zWa62cIfSujnmds0Urdrfz2vi/WVZjHGPJZRRDOadc6H6wiGMIyh rHU+SAczgIFEMZK+Ef//g3+ED2bk "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl08VTV1EYBuCLyg9M7I5hi93dhQtQ+QsUFZQFjlsLUVe2jjl2B4qBiS12 d2F3d/dzx8Uz77nvnDlzZ75z4lOHpmRGBUFQSN1IEPSPDoI8EqyXksQSkllG P5rG2CdHMJx6TGYKk5jGVOqzgInMYDp9yGIQzZyTJvuykEUsph1jyGYwrexL l2MZQnPfGXI842jPY57wiGc8pQMveMlzXvOKjrzlHW/4wHs68YnPfOQrX+jM d37wjV/8pAt/+MtvovxXQFfrorIYRYgQTTd9rCxODCUpQXd9aVmGUpQljh76 8rIC5ahERXrqq8iqVKY61UjU15S1qEEdatMrnIuZZjGMHNrqHvCQu9znHm24 zR1ucotCWnOdG1zhGlfD2XCJy5znIhdoyVnOcYoznKYFJzjJUY5zLJwphznC QQo4FN4R9nOAPexjb3gHyWc3O9jFTpqwje1sYSt5NGYTm9nARnJpRA7rWcM6 1tKQVaxmOStZQQNGMZqBTGAecxnJLGYzkwHMoTcJ5pAq50f+v7N/Rl16EQ== "]], Line[{1458, 1427, 1431, 1432, 1433, 1434, 1567, 1631, 1833, 1630, 1831, 1629, 1832, 1654, 1830, 1627, 1828, 1626, 1829, 1653, 1827, 1624, 1825, 1623, 1826, 1650, 1683, 1621, 1824, 1620, 1690, 1647, 1669, 1619, 1644, 1618, 1840, 1839, 1610, 1838, 1643, 1655, 1646, 1846, 1645, 1670, 1611, 1841, 1622, 1656, 1649, 1847, 1648, 1671, 1612, 1842, 1625, 1657, 1837, 1652, 1835, 1651, 1836, 1672, 1673, 1628, 1458}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.2499999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.2499999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVle3r7HEFhMVY2KJKLEr2DVolGVvwR6xx9h7V9RoxG7sCIp+hE+J FTvY+2sLKkqR+lIUpCi9YwHLyR3jfea+Y2d8h+PNl3vPODd/MZ6x1tzv/q29 ypxrrYnluNmDJhY3MzNrWtrM7H/9XbH0XVOLtVGGsbdXG0Z38FLdrs8K9RoS LFyh+PWX6+x8hIdZ/Gjuff6wMPYjej6OutH5ltjD2MPYw9iXPPEqfNDEh2IP Yw9jD/skFns8Ku6sGlq23LR53YLVqJkelmUDfYVTcsekzN0VKkx9q6tfTPnG 3ij1YerD1C82u96kklMeS32Y+jD1U52qnX7W4anUh6kPU3/ItNotHvwWL/Vh yg1dG3id6vdMymHKG9Vs2mxHeJKUw5S7vGh9cvEPqSrOve2qyTPDDU8cfv2k 2fjdys7Qd2DeUn9hvgd8cMOoDq3aXxVufWLD4TKfOqu0ZiVSt1wJVLW9Kt77 xeOWMOW34iom2/uFKrsquztecXz0h3LXnRbPa8VECs/oZZWYlBUj7PHWPXvY yjjhcuH753QslyjPo5z2hCmnPvYLvI5mWro8F36ywXtWqS9ThHuNv5ieciBN 9FBO+1FO/6Q96J8w/RPGXq9f318pR4++Pv0Rpr/B9CeY/kN7wJTTfyiHKaf/ wPQf2gf+peQbF9dNwargzPeVnOvEq+tbjQsGXfRRNp3mb1XXU9SybdN+Gj5m i6GqZdqqRkMOqXbxtzv13R+u9rmva2xmFqRK7N/e1rfSNZVx/IWfd/E0qT9r 3Xv7rzP85fdPdzDMCLDOFH4b8I316OR01WKzm7HLkgiD1cmjQ6zmzFEuJ4Ka bB4bKpzvX84xtPcj4ZOxaw90nOArTH+H59Z50Sew9S3hKQ8fxv1W7qww46Fc o71XMsdclu8N8/5tHbZfq9/vnHBM1PFLF+caxL5ZQUrEhsF3xR6m/p3aCSMO +t4RdgvOHjYr+r6MX+rDzIe0B+1He8CMd+xh7Gkv6tNeMO0Fowd72o9y2k9+ 39TfmB/o7zD9o7zDliMJP4cIL+q/o+H9SuFiz/yBPUz9pw1/OXzCLULYrvi+ +s51osWe+QZ7mPrnozwPOhx/IuwUOdT5hFus9Hev2nEDSk5JkPHA/MJ4hgu+ neJveO6vqhckBSRlPRP2nzSjwsg2SarywIRSMROPqH3Vfvykbs90+d6srzDr JUx7837MJzDzBcx8gT39mfdnvDN+1wRn9vNbkizvN2zdWzvXTRky//msN6Q5 2iXaMv/B9GeY+hlVogrszAJlvoSpDzNfwrQnzPeCn+06tSi4XajMbz0Otg6w GRX0h/Wyy+Gp/uf3JCs7R/tW9ebdkfnr7DSfpSV9z8h8cjGh/9JP+//eHz8a vfmHU/HKakn51u19fdT5Zt/3+uhmiiq1ZOiEfR3PqvXn3Ge7R6crmyvlLz2v 66bMIsLLJgzJVMturru9uFO4bYU1xtMZ0zYKRw5J/WH+vV+FQ6K2+6/ccUG4 k8Nxz9FNrgnvGDwhPij9N2Ffj7mBnS7dU0sOvnnuv3SfWlHPZUbd3/VT3n51 j0lTZz1S112vhZi5Gw2Ul9p/qpm/bZjwqgjrpS4zAoVdH6jjNy0eCjO+4Y02 Hbra/XhDuPW+Tjl+jheEp1wtXmdq1xvyPmH7LWb6v73zh/dbsM1v5tLqocIV 2343oeWKMDWnRqVUy4GBUr9hhVpO350MEk4o9Ule8xFGtbW6293LWx+pjTuD J9yLM6qLyzaE3eoXqsz6jWp7NNeoNtqV7+vQOUye36tL1PRuVpHCCUljxxVu j1LDboa9SE0yqqBLQ5oMnxCpqnZb6D7+kVFdNd68s2RKlNS3yE+a+oltjPBj v6+bxw2MVWk/LGvzop1RRZa2LuZTNkaNCt2QE3AyXGXYfFSp5q5Yqf96cGGr 1AZxwj0P257yidR4vHXxMwFeCcLeK7o3PTY+UevfWzLOO4yLV03LrL1Ya2SY +DfU9ytVtuXZds+Fa4ywO7Et7bm6HNDSuSAhUL34/EhAm/HPVdB+78+H3AtQ ETeuVdxpniT1v46t4L37VrLw2laDrRYsTBH+9dLnzX/6Nk04s/yIY8Pepam2 S6Y5tah5X/yjYVViJrvuv6EGHEqZUd0+Tcav54OYUw1809W4dtV6Lb52Xfyn 1juWllxSM/E6/hHPl/nOxDLfmZj5Dma+C9vfZm+KlVH8pcWVxuyZdsgo8yH1 mQ89ym8ZP+u9UeZHypkfv5tYf03fTUZtvjSV41/BzDew3p/KcRmze0veMyln foX1/lRaw4Bmt8NT1fH5AUl9XvuosjV/6dr8rPY9hqalHYh5elTZv0t0ftnA 6w/jq9x5nwzX7UFqQrFAz84bjOrH9AaPpm8NUiUXlxjz7dswNbrksUUXjj1V jb8q7LnNLUz5P+w5p0aLODXB6cS8heseql3ld9s71ND6w97Bjv5lH/ipnD1r 3jxc7W7Q/x7tzXoi84PJP9PXZ/2/N+m7cV8kBIt/Pu92p6+tuwSrlz3NAy7v TFS97pnPa5QcpPp13FPq9pNE6S8hbq8n9w3JEHZ6smbuwPWZwszf+EOsP/3K X02ZGh9haH53Uy/DEA/bz8ov8alRQWMHa+9qE1+GCHtZ53U88yBUGP+I55n3 t9r+5swjKTf2S55xMiZQeF5slxWZ2+4Lp8Teu7fJ5oEw8yuM/8Tzj9dpN9ui 7G0pb1vnTP1VP9wUznjQw63RuNPCcQ8HNRl35pww7SH+qKn9d1fcfvxB6TNa f/WwTywbfUPaT/xPU3l++vigRYdvC08tNe/pL+99pX1Zfw+sXBS9xj5Svn/t i/kN+qwJEab9qD/lzvNVXzQIknKf/Aful47cE6Y9xD/41GvQd5m3pdz9xbDg azu9tN8zjR/qt/Wr2eCW+yXpf4eWOC8Lm3dPGL34m+g7MKpvYt+X2nzxZEpI 2pj9mr/J883HnvT5xtpPnvdpgXGXcUqI8PU6Xb9RaUbxZx9u31F/whWjsqtk rDwjKli5Hxw3Ivv3+Sdr0j+8zyeHy/vgv/L7P1YYGf952QjhszXiUhqei1aN 3bY3ynliFH/3ZOfyjolvjSpkR6hTyTtGtSLmjNeEg0bVfp9V1rTb0fJ8/Fue 1+/WlKcx1Z8Id3++KG9xfKyqG7pw2dsSRvGH1/zW0TJ/olHl1Avwft7qiVp8 6HTLb46Fq1bJp5t99c9Yeb5+fdre/srs71y1+fLUjeXzR8+Il/qMf8oLK9/K sKmlrYfV3NbmdM5PVAumz1lt0ypMvV7UtKmrd5y6PP5UnGXFUOU0eEHL05nx 6mqsX9VRg0NU1Jg9w58eTJDn43/zvInp92bW9NTm49XzN8+tvzxJzch8HdfE I1D89WkWk5tVsglQ0zyWevl2TtLWK9N6h32AT0BasRbafJlu55JVrnSq1Ge9 o7ydR9j0Z5dStfm8vtvszG3pyi3Z0bx473CJ3/HXY7bOrFr5WKz6Yf2CT+aM 8xP/nPhhyXrL3M9HJSmP3n6xNQftlPF/YVP7douqrxD2SX/W4WOfMOmfvkMb XSlXM0iN3ea0a5LjM2XfICGqwfn7KvPbHgPGZiWryAuPppy+fVuN9mzgt3FL qqpab2qJJ5U9JP7u1dn/6ORu3sq794Rj5VtkqJ88PxofkHVUHT5cIzPGLUP8 x+7Byc1TBl404P/D+P8w/j+M/b1aD+OqNnESexh7GHu4vndm1xifx7L+t7hg 6Fe/ME44YOf6wmjz58IzF/T3dGmcKvzx4C+G9OmSKRy6O3OF2Yls4bo/Dw6P upgrPH/RBesLd/KFb02qscY58KVwJXvHyJnRr4V/6B7fvHdSofCp1j3X1817 K/y+zrHH79+/F0YP/gp6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdEDowf/Cj0w emD0wOiB0QOjB0YPjB4YPTB6YPTA6IHRw/hFD4weGD0wemD0wOiB0QOjB0YP jB4YPTB69PvT+Lfog9EHow9GH4w+GH0w+mD0weiD0QejD0YfjD4Yffjr6IPR B6MPRh+MPhh9MPpg9MHog9EHow9GH4w+GH2sF+iD0QejD0YfjD4YfTD6YPTB 6IPRB6MPRh+MPv35BvETemH0wuiF0QujF0YvjF4YvTB6YfTC6IXRC6MXRi9M PE18g34Y/TD6ZX/cpB9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6z35nGVa7 XZboh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfRPvXmgistP2aIf Rj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0W/RtOGQj27liH4Y/TD6 YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9Gf7DbsR2LSuWJfhj9MPph9MPo h9EPox9GP4x+GP0w+mH0w+iH0Q+jH0b/z6WbhST3yRf9MPph9MPoh9EPox9G P4x+GP0w+mH0w+iH0Q+jH0Y/jH7bBacrj9r2QvTD6IfRD6MfRj+Mfhj9MPph 9MPoh9EPox9GP4x+GP3wz0ENdjU8FSH7u3F3R77qkxkrTDn7LSsO1TlYrHSi lFusTR140SJZ+Or4M+9mtU0Xtv71Wqj54SzhZU6WVhmnc4QfOq5ddf96nnD1 2cnGA74vhKd937fZirBXwhf7eq8dGVcgXKZjlei2GW+Eh1otaWle8E4YvXo9 7O/A7MfA+vsO7F/A7FfQX2D2y2Q/3rRf++nH8fnDo7KE7yya1OZhrRzhxQnJ C2wn5Ao3HTjzrJdnnnD8tazcr9LzhfX9Ua9PH59TTv+E6Z8w/ROmf8L0T5j+ CdM/YfonTP+E6Z/69yeehYkHYeIpvof+PgXrO8x6BzP/w8yHMPMD+0U9ekY9 qhXzVPaHOL/lfdhvY76AOc+esGWik8PxROkf7Pcw/8CcB3+Su2JzmcBM2a/9 Osp9qteo47IfA3M+MKd2dEvLTmeEty5cOdOi3T4D+8nUh9nPYf+Ycphyfh9G L/Ee7cP9FJjxg178Te6j6M/jeT72fF/am+/L7zMeaW+Y9uY+AP2D8ch4hTmP 534Mv8/9A96X83nq8/7og3k/4kWep38f4g/08fvMv7Qf4xsOv7kpvcSVKGlv mP6JPfMZTHsu9BjsdjkoRuqzn6rfT/yv3j/g/di/Z76BmW9g5huY+QZmvoGZ b2DmG5j5Bma+gZlvYOYbmPXhv8t9B/avgy5HWfq89jLADzut2hby2yHDcaNH t20rjLLfPOHhyeSbjyP/5Xl+Xp+q/d8NjZXywG57f9217qlwUef9zo1iC8/O TpD6s+pM7tdvT6Jw8zKentPXJwmXL96ssOT5ZGH/Z7OHfLU3Tfho7IvDV/zS hc/H1Vg5Y2SW8IExYxpfytG4VJBjeM/JOcI5/W6v2PFOY/ub8dZ15ucJd7Ft ED67XL72PK+ea94tfyHsZL3J+tvPXwrn7T0WGbHxlXDsl5mr63/1Wnvetgot zrkWCDctPziyWNNCYefl89c77XsjvLzwfPPH7d5qz5sZ/nj6yXdae6RUX3+x +3vhou5LFHUfoqj7DEXdV/jQ+wb0xw5tzb/YfzJLOC7mTEjFMtnCWft22lfJ 1djV7uvPVtvlCB+qUM11/de5wnaXLg/Od9J4xDL30NdL84TN6tu6TA7VuGJy rSozbuQLn3e+GRRR7YUw/hHM+qK/v6C/r6C/n6C/b6C/T8D8qfc3wqZ0vWex SbuvhP8h919M/geM/wHjf+jvK+jPoz70/sGH3g/Qn0+NyB1TPLC2m7ofe+ZW wBDtfoD4I6b3/3RddNdl684J7/mu2K7AYb8Y/n+/P4B/wHqjv1/T58KU7O67 o7X5XXffhPUc++LHHFwX5z+R+t3aLzsYMT7u//i8nPiO51u0LvFqnnO8PC+u ardBTkufCRP/Uf+q+YMDjY4+l/IVLz9+38MlRZj4kPojsp0Hxt5M1Z4XFnzs 7dEMYeJH6r8KGPHONSJTyr+P7Gs1Ymy2dh/GFF9Sv8/Q7aGHXmnlJ+97r2oz M1eY+JP6bj3ym6wqqa0n7y5Wiai4RFtPiE+pn9Rm+KrRFbX1xc5zSbO0Ndr6 QvxKfZt614w2X2rrjfuux2vvOmnrDfEt9dd9Ztnss4ba+pOyrnP0Pndt/SH+ lf5UYu3azFbaetTe4WDL5Z7aekR8TP36uUlRvkpbn36eWHbD8LPa+vSh9yE+ 9H7Dh94/KOo+QfX+M/IyIy4rY8HyIOsa6WrE9Dttll/X7sfhz9v/NqxJcWNa keftzG/E78xn6xrlnA2fqLFrWnDb6AHZUp/4XtZL14V5vY9q87/d8KEO/Xbm SH3if1k/i79udTVDszfziTx3IyJX6rM/IOvp7GXzm7bS+HzL7/NbWuRLffYP KB8V/f60xyKNp+192vrguBcSjzFf/dn7Ex96H4L3iXUc8HJqee08gvgEfwcm /oCJP2DiD5j4Ayb+gIk/YOIPmPgDJv6AiT9g4g+Y+AMm/tDr09+3gNEHow9G H4w+GH0w+mD0weiD0QejD0YfjD4Yf5L7qHxfmHLup1IOU859Vcph2g9mPcff I76FiW9h4ltY8ldM/iH2MPYw9jD2+JPYw9jD2MPYM/6wh7GHsYexJ57FHsYe xh7GnvgXexh7GHsYe+YH7GHsYexh7ImvsYexh7GHsScexx7GHsYexh7/HnsY exh7GHv8f+xh7GHqEx9QH6aceIH4BP9b8u9M978l306XX8j9Vdm/Jl+R/D5T OfUln8lUrs+Pwn/FH4d5Xxh/Gqa99OWstzyP9ZTfY73k/WX/0vR++vlGr5/5 hvow5cw3lMOU6+cb2oPvhR6+L8z6yP4sTP4e+5fkp7EfzP1u1mfy+1iP9flj Zg6b6+4Ymif7lawv/B75SfhDMPVh6ks+gen35Xub2of2oD7vgx6Yctl/Ntmj n/alvuQPm96H9tY/n/w/2ov6xFv0D5jfx558QuIr2S83MfWJjyiHKSceohym nPiHcphy4h3KYcqJbyTeNjHlxDOUw5QTv1AOU068QjlMOfEJ5TDlxCOUw5QT f1AOU858xXiC6V/0V74//VWfL0m8y/wi99FN/Zf8R5j8R+yJd7CX++Om+uQ/ wuQ/Yk/8g73cDzfVJ/8RJv8Re/bvsJf736b67N/DnAdI/qxpf0fyZ7kPbqrP +QbM+RT2xFfYy31vU33OM2DyLSWfnf1E8rW5322qz/kZTD4z9sRr2Mt9b1N9 fT4z5y/Ys1+FPUx9znNgzttgyW8in5N8JhPr8z0lf8nEkr9kYvwhWPKVTIy/ Auv9D9Y78o8PGXxLjjynMf4A6yPltAf+CPnCT5sVn9Rxo7a+6tdb/BHyk13d 1x485Z8tz9evx/gn5EN/W7ZsomXlXFn/eD75yx2e3V7rYKX5QzyP/OjsQT1/ S5qj3c9h/431QPbvTOsB5ffW36p35n6QrOfET5QTP8HETzDxE0z8BBM/wcRP MPETTPwEEz/BxE8w8RNM/AT3adPs2olNoeKPoP/HKo3GDnfQ/j/IvysfWPwz j3nJK100f/fTb+yKjSml+afxNp8sazAwV72YNeOf/daFqrcz24xbZ3VLLb9U 2CnzYaBqd/t+/cmLtqtSJc56PGv3SF2888Wlxl/88v88n3dj4wavdz8PV6U/ rmAZ2CXgf1x+b1H5ukXl4/7ZfNui8mn/bL4s/LFLzVNjQzKEhz/7oXHH9Zmq cvHhp21ivWX+sb1Veprjirsy37Td1DzVPDRY5le+X+vVNS6vWp6nYkc6Dvr4 0m/iP0u8dMtuYmzqEcOeBVFLVvf5Y/zB/PSh+bfrzpv/mLQnTOnzBf9Vvq0+ v/ZD82mLyp+FWY/sC4PdqpW4IeuD+Bv1k+2eDspWL47cad14XICsB6wn1esV ej899ft8sWqN0wpr4x/WqyN1l/X5KDVXDaiyeOtNj/OGd1cD9oaZZ6t1XXuv 9n7ma/Bs9dg+YFKOOl27nUPhsVDDSquInSFHctWNtPtVfV3uqlKGyukF/c8a nO+3GfXu5H1VN+X+thsNTxkWfD5+2vFOfuqm7+Gzxbu4Gy6uqXnoWn6wfJ/l ayJXzrbU+OLErMqFW0JV6bueb5b0vVVkPvCCsC8zJzcNV4/b+w5pP9NXLavz aMrCjDD1bdiuRTPe3FP1P+1ldywkXLUott6/ore/0ueLfb5xZcO95nsNTX0c Cw6MzVJl3j22efz2luFn16nlahmy1YEs82Kxqx4ZZs18kmRXLleV9L/RfW9a hOHqwNE/Xuiep7JaDRu0ZkbkH+K9jX5Rez5udt4QHenT0eAYrvT/z+JsJeuo 54P91PVv6x2dW9lf9NtuH1QvYkaQsvAo9+Dp02NF5ivjn7M+bdz3cYb11Cta /9//heOky9eFC7bW+IfH5rvCq7buHFAy4Tdhs4YHfFrXeKT0+ev/Kh/6Q/NH 63fM7bR1sa9yq9S82qvVxwy2P/XpHzX9ocTjxw8Uy9wzX4tPHRausHrePFDi SX7vq3nfFZ4+76FyklO7X3z1x/j1X+Vns17LeY+h+eFu3UJkv2XjlrldZ+wO UTY77FpfDL8qz6N99fn9Hw3K2vXFhePSfpYDjAsPfXboD/MP+e0fmr9MvMzv fzl+X9P67cLl+fbjEwct+MQonNf5xPvG9aKFL3eeFhU9IEq4Ygnzt483B6tD J3L2FvY5p8q0uZYSvyVYeXQ/ZYgcrMXfct+odsufXabEiH1vp/Zhcyxihf/h uMfKrnGc8NL3y6rXu/FUmPic593PiJ1j9jBeyp/PKr66QdsE4a+/nxRRvMsz 4WpPut2NCk8UJp7neZP9PGteiH8u5Wv7+jZ70jdJOLRD03WXhqcIX7hafoFz ZrIw8T/P++j4HN+ZhalSXsfKOXrHxDTh+TVetJwzN0N4yC8htXuX1pj9Ap43 qLv7N85ls6T8h49O3Dloq3GZt09mu3TL1sZnB/9njhU0Zn+B53m0NnOeWSVH yr3yKtZY2UfjYWldfGYNyBXuZdWy48gaGrMfwfOy6kxI6mWZp43/hAVzR9lr 7Bl16Ms+o/KFd9dwdWnbQGP2L3iebeV7tnWtX0h5v2Dj3a/HafzCt9z8elNe Cj8rV5BcqZXG7HfwvK3FrXa+t3kl5XtudbCoPEvjHpdn3Tdb8Fq4bcHoTum2 GrM/wvOis7elRnYrkPI0b48FGUs03nEkqFa0Y6HwmuSbrvf6aMx+Cs+zeprb +fyAN1Le4deSD+6v1Thhd1uHC5veCocY66Xvt9eY/Reetyxw6O7to95J+Uan KZYHt2vc8me3h8673gvXvbehq+M4jf/+fwf/+f87+ND/R/Ch/1/gr/5/AR+a //9X5/dTX/Z3TOX7lzxO8e2SoY5YXd28322s4ct/7PHNKZWl2pe06G9TwVn2 Q/AnLCfEXN3SNEvNKQjcdP1+uKFl1YDpTV5p+yvRW7at+rHN7/NSwws5twtC ZX/Fs4GNy/LpYWpWyPuRsXY+Kjsk6u7eLicNUxwjGqVczlIlj2577pbiY/Bu 3KLHtsq/z6PzDuSM3BFsUHtaTds4Ilc1rWFeOdH2uuH72UdTnKdmK7dJZ5tX yfI3BP96zrf0JW3/g/gDxj8hHoHxL/T7HzD7HzD7HzD7HzD7HzD7HzD7HzD7 HzD7HzD7HzD7HzD7HzD7HzD6iJ/QB6MPRh+MPhh9MPpg9MHog9EHow9GH4w+ GH16PfL/Bk16YPTA6IHRA6MHRg+MHhg9MHpg9MDogdGj/3+y+vNO4kPK9eed xIfUh6kPE69zXxJ7GHsYexh77otiD2MPYw/jnxP/s37o9wPw1/GnYfxd+f+w Jn8Vxt+E8Rdh/D2Jl0z+Goy/BeMvwfg7MP4KjL8B4y/AfG+9PtZ/1l/2W2hP mPWc/RfaH8Y/4L4T30ufH8X8COvPk/T3a3hfxhvMeIMZbzDjDWa8wYw3mPEG M95gxhvMeIMZbzDjTd/e+vHGfhftz/ijvRlvtC/jifMB9ufZ/2c/nv191j/2 G8g/4jyVeJn9Bv6/Kvkq+vNsfo/zAc4bOA/gPIH1mP0Ofo/4m++t//81ch/P 9Hvo4f2J/1lPYcr14xl9PI/3lXwwU3wt+WAmlv8farKnPWDyc+CNhi37bfKf ChtPZr+uXCxBuOGeIQMyyz8Tdthy6ZBv1SRhn2U13x6smyL82YyVg1c2TxOe MDLxyKgOGcLDD9Y1+7JulnCxf9ofK9s4W9hzx8/2L5vlCA/YfLlYYptc4Ver 044HfZMn7LHUYtiNzvnCPeYPKHGy5wvhjGmrTv7S96Ww67izwzcMfiVsO+JZ yUXDXwsnDKzqNWFMgfDm3n1GDppYKNy687JSnaa/EY62OeltPfet8OrmsaNq LHon3KSheZmyP70XZj6W+y0mZnzxfei/fB+5f2Gav7GHsef7UZ/vBzPfYw9j z/elPt8XZn3AHsae7099vj/MeoI9jD39g/r0DxnPpvVH4j8TY0//oT79B2a9 wh7Gnv5FffoXzPqGPYw9/Y/69D+Y9RB7GHv6J/XpnzDrJ/Yw9vRf6tN/YdZb 7GHs6d/Up3/DrM/Yw9jT/6lP/9fPx8yXrB+sx8yncl/ZVJ/5GdafP7NeYy/3 l031mc/hkVb9uvm9zhN77i9jL/eZuU8RV2FCKXeNK/7j0Wplq91nlnwgE0s+ joklH8fEko9jYvxF5nf8deZz/f8T53yd+sQv1Oe+kT7/kviO/ZS/z7v/8/Pu /2n5p3/2vL2o/NGizuP1+aRF5Y/+nR/61+aH/tl8S/15d1H5l/rz8KLyMfXn 5R+an8n8h7+uP+/6s+fv+vP0EYdbXDJboZ2H6vPx9PcF9Pk/RZ1/6/M9izoP 1+eDFnU+XlS+6Ieenxd1fvhXn68XdX6uz4fU51v9u8/LizoP/7913k1+2F99 Xq3PTyvyPPoD833/Pj/++/z47/Pjv8+P/6vnxx+a3/53vvrf+er/e74664/8 f7X/ZvnV/+7zZf39QX1+elHnz/L/UY6NvLwmf75Bf1+xqPPp/wAvJYqF "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFlldwlVUUhfdJM5iQ3CSEQG6uSUwQYq4CkgRCCIkhCBYsKCIKGlBUUJqK WJDmmzrqjGPvY++9omOb0Rcdx7H33nUsY5mxrzVrZXz45j/33H3O2Xvtvc// Ny9bM391QUT8AwrB/qADNIFdwWgwFuwCRoIMqAM1YBQYAjuAMnAg6ATN4GDQ BVrAxeA7sC9YB9aCWlDlPStAm/fkeZPAAMh5rs7zGZ/JuRXgeFAJJvg/zpeA BBjTKnAiqPa6jM9stp+F9r3A48Vev6P9qvKa3UAejPGZVfa5wOu5psE61YOJ IGv/O60B9z/E9hx3g/HeZyoY5zMX2K7Ivo/yefXWgFq0+6ysfR4BisEicBgo 9bPM5w05phL70uX9mdNpPpf57nBMnGv1/EFgHtgZzAZ91iJvn+jP7o6fv9c7 7qx9bPC4335nrWPea0c6dupQh8TdiedKcDRY6hh67GvGduOd9xmh3DPve4BG nz0zVLs8vzdUW6Ote4tjZ5zNnkuOn3MDzl/OfnX7zFbnif6eDvYDk8FWn53z un7HuDeYYp/2AoO2O9UaNVi3PT3OW9vhPNfb/z7b8fesUG80Ou4ea9JmLWqs zXTr024txlqPXu99D+eS9phk3xutA2uk2HvM9T6Djoc2rJ051nAj2AeUh+qM dcvaY83Pt9asm3nWt8g2w72wwPY8c7HPHa5d7rfc43I/F3l8uMe0PdT7cG/W 7wHO65m2K7XtEV5L24WeX+Jz2RvsMfZ2dfzfMyW2OTLUY0s9z5o8yv9xLXuU vVpr22NsP+Q1tDnO8QzHstz7VHttlbWmDxV+rvD/Kz3m/2f5d6XnTrDNGdai yDEtsQ8851ifxXNW2c+53ov7rPZ8tXXaaD8XWkdqxZpl7e7kMzfZnvV5SqhG ucca77/Va2g/x/7RN/YE+2ey9zvNNh3OG3uQNdMUqkfase5Ze3xv1Flv3sm8 j/I+b63n2U8bQj21wWc0eB1txvi5zuOTPOYel4J37S/7++zQO4uxbAv17ybr xdgvDzlJne7ifkna3AE+sMZXgsIkXac4HsZyH+NO0usp7p2kRYN1y9qvk+3n Zvtaa403e7ze/uXs36D3fwi0Jq3fZhvqfC51SrrXWJvLQvU5DnMPh+6JT8CX od5+B1wUusN+AD+G+vkV+ph07zzJ/Cfdf88wzqR75WrwWeju/BhcYB+eA11J WrxMLZPusldZA0n31PmgPymfM/G8BM8t4C3QmVQTjG+6YzwP9CXdW7OSvjmY u0GMZyflkt8g33p+AHNvW68L/Zvjbjw/tObfg2lJtfAL+DV0v/DuvDt0fzKO Z53XF8DzzjM1eDqkA/16KeRbDca3h+7pDMa3hL+tML459M5h3G+EYn8RvB96 J98AypL6+RpQnHTfUPsnQvq3Y/x4qD8mYPxo6D1wHShNyvdHYLttGjF3f+gd cpv9o2+fg09dA1+Br0M9/hp9T3qvfAGucn7fZKxJ789zQEXS+7IAzytCd/Hr rK+kd+Qf4M/Qe+J38Fvo+/E9r+faHGzvDfXbv+Cy0B33SKheWatTk2qC9fCA 42EsHUk+0Z+mpHplrdYn1Rzr7SbrTs2rkrSmzn+Dv0LfsI9ZR2pYmdQ/7J1v QjXKHLVg/sFQf/4Mfgp9R9/qHDO/I/C8PvRds915ov4Tk3ShJiUYXxt6t+T5 f9LdWptU36yfcoxvDL1PeGfM8L3Rm9QnW1hPSb3EPupJ6j32XVtS/pi7/wAK Yt2V "]], Polygon[CompressedData[" 1:eJw11GesyFcYx/FzuLZUiBVKXLO1x+W6uLj2bhFEBbGjgiixXTeo8ULMmK3R UqNma0ftLUS8kJgVe8Teq/X95Xm8+OQ55z/PeM6T2HtohyGZQgi9kID8MYR1 xHJIQVX6/xCroBHOoxTXfiJORE3aB/UcGmMeZqMJmuEr7q8mlkEyitLfTPwG 9bAEkWtdiT9gBnLTH6CIRNp/E79FKuZiJhqgKZ7iMUqgLT5iKmqhIx7iEdqg Nc6iEN/8kTgBp3EDrTAee/wf+nYlnMBCNPdvnkMx3h9CTMd9PEAaKmM+5vj/ xuDmlzn5P37BFV+L0jiDP9ECdXARR9HS1/AUMkVbm3HIR3stsSzq4ip+9W/V xl3c8b7+Nw1ZeacnMSdu4bbf0zP/4rrPtTCmIwfP9yHmQnnau4kV0BDrUSDa WJUji/AfOqEzEri3jNgD3fWNaN/Ut/prDPR/93Y/ZKH/G7Gvv5M92pg11t7I Rn+Ft5Wju5QLXKvvY9Jep9LP8P1RLi0ldguWU9qLJlyb7HtSPFoOK3eHap/p N46WG5N9LovRxec0BS/xHZLwAe9QCh2wCUWi7YVyujbtw8Rq/j/l5nO0C5aj Bbm/kTgIA7EGeaPtnfY0jfYRYnVMwg5dj5b75ZUjtFOi7dVw/Iz3Ppaa+Jp7 W31ug/EH8kQ7yzqDJWlv93eH4S+NK9pZ1BmrRPtesFwegXqaG4rTHo0DWodo tUBnXrl6HDWC5ewsn4PGrnde+xg1tu+xwddAc9cZfOZrnORrtE9rx/2RxFHB 1uJSsFqiNVkQ7ExqrzN8Lz4FO+vak5P4P1gujsXyYDmpXNQZWBUsB5V7qjEr g+WYcks5X472Tl9r5dgWX1Otpc78C7zxuSRiL6pEOxuqkapNFaOtnWrUBZ+T 5qIacQjJ0WplNZ/rfl9bzXmb75H2RjW2cLSak+45kzlazVKtUo6/xZNgta89 rgWrcaptqinHgtWkMb5HIVpNUS1Rjl/2NdNaqca98jlqbsr5zwJYpnM= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncV9MWxt+zdoO5QZmuoVTGRPfiIpKpOSklc6GuopkGKUmlJDOVpBIN hhQpISRJqTQqRIYUSVchKYr1/aznfH7vH+tdZ5+991rPWmsPz/m9lW/s0ryz FRUVPeF/kuvurru5vJUVFXVwXc91I5fWLs1cmrv8z9+3c2ngz6e4vtT1NS7X ZvHc1OVWf1/fdWOX610u0/zr1E+7jexd7nKDdAuXG6VburRzaeVyJX6lr3K5 Sf1X4Et28XOz+q92uUWY6OuofuI4xwJve2Ishr2t7OGvk8aC8U61O7t0EVYw DrWY39OlmzBho7s02G+TBntXzWNcLQv/PVxuVz/YewkT2HtLE98d0sTRtxiW ftLY7qN+sA5x+4NdznW5S/1gHCBMt8tGG8XTX/1gv1uaca+5POcy0WWQRayD XDa77HbZ5TJMOQLXfcJB+369A+NDsov/B+WP9hDFSXzDNRa8D0gzbqj6sVve MWQu5tLaZaC/e8RllHyDZYTsMm+kNH1jZBf/j2Yxl1hGCyv+n5Jm3GPqH+zy pGzfr3ZP1epp2SO+2o5nrOupLuOFCz+ThQ8bE2T3cZdnpZ9Qjp8Q9mc0j3GT FMMo1WCE2lNkD+zPS4P9BWlifTkLPONcpkmD60X1g723Y+7lcp7LdPXjf4bw gaunRSzMf0X9xPGqdB4HebnXZaawgv03lw0u37nMFm7wzhUmfL4p3OC60331 canjcodFLt92eUPzGPeuYmP+O8o37fdkD4zzpMH4vjQxLRC+WS4fSr/uMl/9 rPelLnPkd6H6wX6jxfslLh+rH/+L1A/Gj6SJ6QPZw98yjQX7l7KBnxXKBdg/ FSZ8rlIMYF8tDcZPpLG9UvMYt1axMX+N+ml/Jntg/FwajBd4LItdr3NZLyzE 9JU0eL/IYswS1W+VsHyt/uWq7Ur1LVd8xPON2sT3rfRK5Zt1MVl5naw18b1w E8cP0uTjZ+ED14+KhzgutMC+xeUnxQHezZrHuP8r18zfqn7a22SPOLZLg/cX afDuUMwbXX6X3uTyq/qJ+yIL/3+67FQ/cewWDvD+VQzjH+onvl3Sm2V7tWq7 R2PBe7GF7f1d/614yEcpC3zg4izcpjg4E7crjmShwVtkMY9xJS32JPNLWPTT Lm1hjzj2sdDg3ddCg/cA4SGmAy00ePez6N+tHHyiWh5k0b/XpZwFDvDuVXzE U0Zt4iurOBmX5wjfnIucK0OkOXe5M460yA24DrXIC3EcJk0ch0sTxxHS4D3E IhfMOVFzGHuJbP7Lwt8I+T9Kfoj7aGniq+ZSwaWiSxWL++lgl6rS9MGjGrqN ui4nyQ9YjhcOsJ8gDY5jZJvcHCfbjKukd+Qp50nc3c29/V8LbnSp6/+ov4Hr GhZ8q6HrUy14VyPXp1nwscaua1rwMDgdfK2+8kzcnOtN/P2/LfhZPdfVxfma uj7dgodd5voMC/6ED7gWvItxcCs4VlO9o325jz3LgqvBFeGYcE1wwEngXjkv pN3Mx5xpwc2aqR8fnDHsWfZwZeWGtXasdHkrcMd28g2n6iAst6qNrY5q4w9u 1En+u6gNl+H+Hyb/nTTnGtlrr3dwnz6qT1fNz/lcL2GBf92WFbhd72I+mA9H 7Kb58MweWYGvYgP+Qe5ulr2cdzKnpebjH/4EP4HPtBFnejgr8Dz64Ylwu4HC MjQr8LLiew49WLgHaH4r5bWtMNE/SLjhb/2Eqb/aOWfN4ySXcDN8w3kekd2H hDvngsNl9zGNu0I+b5LPx9XXR/aGys9w1Yy9yPnIuZjzQvY29yX3xVrZhduM zwpccLT8j1EbTE+rDW+CG41VHPAxeBpt+MhUxYO9ccIxWuPAOkH+ci44ISvw uSmyxf04SXOmqI09eE7O6abJH5jgUHCk8y346EtZgV8+mxU44vOKf6L6cj60 QLa4x9/ROPjMbI2Dz8zQvJlqT9L8mVnhXp+VFTgiPIwzrITO3Cmy97owzdA4 cL0pf3BA+N+crMDh5iluOM/crMDz3lMO5gr3M+qbLnxwofnCt0DtqYrvbfmf Lx9wpc+0JkYqtonCulA5yjnZKs2HLy2VvWVqg2O52uBaofZNFjxycVbgRt8o hpV6N0f2lmQFzrdauNeoTR9cBk6TcztwL9a7dcIHh8k52gb5y3neeuH7Wm1y s1Y+lqofH+ynUcrHbPlbmBU403aN4z7fmhU43PfK42a1wfej2uCD52xRPPCG jVmBQy9SHFs1bo3sbRKun+UP3NvUzrnaDsUKr/lVOdih9rd694tyulH92IZr wHsq6JxgveYccZt875SPecrvSsUAF4IbnZh8D1vcbyYOUF7cp5wVOE5ZK3Cf Mrrvc+4Fd4E3HSSeAfZS2jv4Li3eQm6Yv0e+DxB3yXnbPrr/G+re5/5vpHuf +7+x7v0WFr/jcI9xX1cXZ8h5HnbhYvAm7NZ3OdkKYxtovHnsk9VHbf4Wvori MdWU04riRXCdE4txnxOKcaLjNSfnUlWUr0riR+SvstrUtaRsV5Cfqsp7FXEB 1keRcp9zZbhozpVpsy5KqPaZ5pcrxifwB3c7SbiT/B2s/NVXTuBTcCb4S10L TgmfvEdnMmfP9a5bqQ0POtviNyu4ClyOu53vi6st1ld/13dZ/DZHrmuopnld 89/masov88+SzetcX2HxW9AbLken4G1lXE+3mJ//VgUvKOXvX7CoLfP4rQr+ AV5+J+B+u9d1Z9lsafGbGvwkX1v573rwRrgoPAH+Rnx8e15pcVbVVh6wOUT+ 8AU+OCX3PHwWrgmvudbiu2h/rbN6yjl+LpWvWsLUXrm8XPkEI2uddd5CdrHZ Uv7whcBjW2n/sdbg+1dZ4ObcusaiNuw56nOhasS8ZlaItbniLaX1nX9zoNkD +bcE3xbc19drPXD38TsIdzc54r7gvO9qUUtyfrcFl4NftLW4Vxjb14Ln3ePP N+gZvtdPawdb/TSe33jh3Hyf8G3C77l8A8D/b7b4nTd/x3OTLHR7PXe04O58 M1DPtsJwi4XNRrJNm+8f7DK+nnB2Vgy866jxXfQe/Oguire13sMTBypHL2l8 V40B123Cxn7ht+w6ipnY52gv3K51dpfs8H6ActpTdehRbF3yDp7F2u+ld50s 8tJEc3spz2Bjn9+hd731nrGdlCv80Q934Hf3I1OsXeLrq9i7qU7UaJjr+yw4 OvtusPJADEMUe2f18X6wns9Vm3mD5BNsU2WTcT20B+9RPtED9cw+Y63/mRW+ q1nH+Xc17fy7mjZ7km9yzjrujKPU7iOb+Oce5WzlLGbfsK/YU+RqgPLfR7Wp o3XaTzX802Wn1koLz9nXFutukPLD98dQPRMXepieOYOvFcaJLtu1XgZrDDYy t7lHdWLuUNlso7q0Fq7+wtZNbep5t/BT699d/2Kx7rtrfDfFxjj2bGs9M76D cLdX7YYI8+vkMsU5xXcm3zZ8n43w9jEpzsRarsdrnSxzfV6Kc6qe6w2q39n+ vESYV6BT5H4rayRFjv9wGW6xB0/xd+9bnJen+fMHFmcqud+l/P/q8pfFvibW 3xTvWT7+nBRxN3V9WYq99C31TnFefuNyforaf+dSP0Vttrk8Z3H2fOJSN8Ua XOVyUYoz93TXYyz2yALhA1t1109Z3KMfuZyZYr/+6HJGiho2YZ+l2P/k5pIU +fnJZYvFedkwBSbwHObPsyzuFuow26IW3J9vWtwZx/vzXIt7prI/z7G4B8r7 86sWd+FJ/jzP4j5O/jzJ4u560IV/unGGfObPjVOcXxVdv2Zxl1f153cs7hPq s0M1auDv11isa+q53KKmxL3IInZqvl51J38rLXJIXldb5PZZl6VaP6ydjy3W T3N/HmtxLz3j8qFyvtH1Yr3fpBjA/4Pr7y3O14tT1Jtag+VL4fnKYt+yZ5+3 4BlwjHEuEyzOnMdcH5KCm05RvsgVOTM9V3E9yuKufcildAoecIDrly24ERz8 5BR3/wUp1hzrjf39t8Ue3+vygMWZ/LZyTZ7HKy/kpJK/G2nBRWr68xcW3OIt 1ZtaP+5yeArOd5zrJy3u/plaQ6yfl1z2TcETsXdsCps1XK+z4CXEVC1FXNg4 IYWdd7XOWGPvaT2xlsaoNtSlRIpckIejUpwRnA+PuhycgvcfkeK+4a45NAVu MB/kz49YfCd87lIyBZd9ReuYNQzG/VPgXGux/lh7FVLUjHrVTlFj6vsp6zQF /12s9cSaKZcCE3j4ruPbhe8M8npqitySpxctcrVfCkzgmW9xNnEugbdsCswz LPYM+2WaBa+F007VmqihOu9WrR92fWCK75Z9UrR5/gfPR+lX "]], Polygon[CompressedData[" 1:eJwtk9dvj2EUx9/f+1QIIURDCLFCNG2VKqU1S3X8OrS1V6wggoqRNHHn1o1/ AIkQq9Sq2quoNLFXXBA39o4RIymfb865+OR7vu8z3uec5zwDltZWr4ujKEpC CuzBfIYVsBK2wRePSxJRNC5EUT6cI17Gtyzia2gezPS1e2GV75HN+A00H2ZB e/wBNAOK4Df8giT7rUE7MV6PZsIMGIXPga2ML8a/gE+wHObAbngJE6GeOe2Y u584HYrhB/yE1f6PnehbWORrdsAHWALbGc9lfSvxeJgN3+EblCZsj4HKXeeC 6dAdfwwdrv3hKzyFjV6DMsZfoeUJ+3ZVufNtLDoGKoLVSLXZBP+gTeuYvxZ9 rbXBxhZCDfEuz3UL2gzDgtVKd1AVLCflUoc+1tn5tgAt1JmD5ajcNsNI4pvo eqiFI9CFb6XaFw5Bx2C11J1chjR8DZoLZ6F/sFrkwGnoi6/U3nASeuLL0RFw FLoFq1UWXIQh+Gp0NByHVHyZ1/QgdMCXeM9ExIlgtVFN96EpwXpJd34eBuGr /I6u67/BelM9mKfawyTiDXAXJuPnogXw3Gus2mrOM69pnfdED+ITnovOWIC/ 52vnQR98k+deoR7D39E/YvtHIf4BOgXmQ1d8g9dCNe+MP+y1V85J/BO/u2lQ jH+ETo3tTvUWPsb2FvUmbqmvguWmN9qP+Izfje7kNkwI9nZ0podQFOws2vO+ NFguOuMf+Bvb21RPpjN2xXtXPTAUf8l7QXeoXnrjvaqeeg/vYnu7emO9mN+I ZsfWEy3eg+o9vfFTaO9gtdOcwcQXvDd0p3q7lcF6V2/4PzuohKo= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxFWHmYl2MU/dV3P5VKRWVsabG1abEm+/JYnsdOVCqifdU2MmUmJIQpqWmM lGSZJIUiCpEkhVCkXYskFa0onOOceeaP89z7rt/73nvuve/vV6djn5t6l81k MsVlMpkEsklkMk2B2Wi8ArQC7knUx7GXoK8Gbgc6Az8BbYFuwFqgNdAF2ATc AXQHUqwL4FHoW4B2QA9gB3AX0AfYBXQE+gJ/AHcD9wI/AHOAV4FtQAegF7AE eA0oBrYDdwK9galAP2AA8LrlIGAPMBDIBhYAHwLTgQeAwcD9QK5lDvAncAAY AjwIDPXchyw59xBwEMgDHgGGee4IS84tg3tngIehPw4M99yRliN8Lp65P7AV aA/0BN4APvKZngIe8x5j3M4HngaedLsyvlMJGAW9wGOcOw4Y7XY1jFcFnvH6 x32WZ4GxnjvR7SLgGMzNAp6DPhmYADwPNENfw9DcGpDVgfHQz4A8PTT3Y+Ad 82iledTK/OkE3GbOkEfkE7nUFWhjnpA75BC5RH6RZxWwd3ngCejrE3Gtte03 0P6mDcmvduZGL/NmhzlCrpBv5B35R76Rd+QfuVbs/ZYCnyTi2Tb7pL3vX2gb TfN36bu5ifjHM8y0/wbbhzPsx/nAm4k49iWwEHjL88iroUkpF9k+YD3HY+TV sKSUi2wftJ7rMfJqeFLKRbbJwRGeN9x+fywp5SLbjNGRXsMxcupJj+W7Tdvn ew3HyKnRHhvjNjk4xms4Rk6N9ViB2+RggdeMtS0LPVbkNjlV5DWFtvsEj010 O8scLPIYefdCIm5O9pzmIb6+nYibUzznvUR5hb4+M8TdWYk4Ss7eCpyCvpOd D5kvspPSeC2234vNEerLgcVuv29+sP97YJ7bHyTKTYPcN917vuvvMk6+cv99 5sYb5gUxw3yo7zvx/uQUecR81cj3mOz93vFdmvgevP83ieKT39zjswywPeb4 fvz+hz5Djr/B/T/x3fr7HnO9dprvw7t86nty36m2dT/7aZx9ynvM996MZcZ9 V99job/1T6I8m+dzfWF7T7eNsm3vpbb5MvfzzMwbmxPlDvZ97fk823c+3xL7 jGs/A1Z4LXPTSnNhse1FW/3o/k62w7e2xUqP0XfMZau9xxrrnS3XeC1z1lrP XWe9i+U6z29ju3DuButdLTd4PnPiT5670Xo3y42eX5JD29oe1Lv73KvstxW2 He/OvLnF6+jPBbY3c99Wj/9ivacl28y5rNvMp8ylzLnbvI7yV89n/t3u8V89 1strmJeZk5mrdybK1795PvXfPaev+37z2l0eY05njmNOZM3d7fPca7nba8lR 8n6A5d5EXKXcZ32/29m2x8+2216vyfZ3Dvlb5CvzdY4l3xDk7V/WOX58qD3E fX97Tp73yvV3ttieud6L44zrxo7tE0KxwX7W6OOAST4Hcz1tMML6o5ZlrJe1 zrm1Qm3q7Es8hwjXjJHWn7BMrR9mnXNPDLWps6+c5xDlXVfyrfN9cniolnOc 74bqrge1Q2Ps53hFz2edqOR3yxGht84o91V2P2OYMcm8VDJW8s0Knl8ntJ46 11R1rSqwPt6ymvUjrXNu3VCbOvuO8hx+v4r7T/c7mTm2yPfi26lm6J3E+fVC berHhvzHORw/2np9v7voU7azXAvJtX/t55NC6zm+0NwaYk6RH3meW8v+pW9P tI/on9q2M21cxzbJ8nn4Xd6pru/Fu9bzmXnGk/zd00I1knXlZOsvJ5KnWm8Q us8k71/fNZuygWtYdduHe3KM9Zu1mzmXdYp1rOQbUzzeyDW+sfUXE9mePuDv lMn2xwuOnYaew1zN3Mw8zBzDXMO8sQ7jLUN59bg0k7kmVIvuhjwhVV7oAv3d UC1py++H6sZFGH84VC+Pgd4xVC+rQK+YKu8cBdkuVMtrQu8QqoEp9DKpznI4 5GGpctnfGN8fypFtaI+Qn2mvZrbhB/xmqA6xr7nvyLfMmbbDPsg/Qjm6N22e yv+d6fdUfOlOn6biS0/6LhVfBtP/Ufp2OsN7ZjB+MJR/q0K/LfQWKAf9spA9 24fuyTteRW6negvzfuV9x7KQl4ZyeyPofRz/t4f25Z53hGxHu1WCvDyUw++E rJ7qrb0Q+s2h98sp6OsRymv1oHcL5cr3IHND76HFkLeG3iZXMCekqhEfQZ8f eh+U1CHWqxnomxl6f9TG3E6hPH41YzDVO6YW5D2hulEfeq9QTqT/K5sDs+wb crMfZNNUcXYh/RyqLy3IrxA/v4AcFno/XQC5JVTfz4fcEKrv5Oxq83YCZOvQ G+ccyGdDb5LzIL8PvSsuhtwbqsUvQl7r2LwIcleo7uRAjnNc094VUtmcvvrX /qqGvgdD7z/6PFL5PSuVXWiTGql8T7+/DvlQ6N01lXHp2LmEtgzV8WmQ54be Jn0hG6fKT1OA68xtxtkkx9rv5GCoZv5Av4XeWEWQeaH8sR1ya+jt8zPkxvBb CXJt6C01gNxOlecGAWenynNrgJWhN9l9kC1S1Vqeva3Pvwxyaej9x1jJd7y8 AjkEWAT9JcjrHTsTIYtDb615kDeG3pj3Q44NceRVyKHA54n6Rrv/acgLUuXW p2wX2mRU6Bvcn7kkcT65K5SPmIt2mGfkWKtQDJD/Tcj9UF28JRRLjKPm6O8f qnkHQrwhZ85C/8BQDaNdt9m256I/O1STmLf+DOUu5ol/QrmCfFliznwD+W3o Dbo7xD9yj3H8qc9wKMQPcmN5KDYYF8xne0I57ccQv8ntRfRJ6H8j5u/poRxO juw0T8jBI1PxkLH1eSi+FkDeEPqt9mUofhg7v4Ri7///uCDXmzPMJeND+YS1 pZl9cSH2HhOqjeTjCnOSHPnKPHkL8s3Q748rQ/WDfC4k90M1bzZ9HvqfYA5k 19AbfVMo/hn75PJm8/mBUI7jecjZVeYtOdvSvD0vVcwz3v8D9xi0MQ== "]], Polygon[CompressedData[" 1:eJwtlXmwl1MYx3/ueY6EamSJ6na711WJyJU0tkFN/WFvZBvLSIu2e2WpMGP4 w75nRpGlYZCEVkp7IRHtMcVkN9nSJEum8vnO9/zx+Z3vc877vr/nPOd5nlM7 sKl/Y1WlUrkHAh7mpyFXKq0Z6+ANWADrUqXyMTyFPoP1ToxdYCycin0UY1v4 AD6CL3h2SvK7z8Cy5G88hD6R51sy1sIjcAr2EYxHwwSYAit5dgDsk1Os/4Zu hE3YG2Ew+iu4T++xvhddjX4azsr27R3mHmQ8HvtAxo7wAByLvT9jDTwKvbJ9 r4cL4GzsroyTef9ZxkkwFz0ITmDtZuxW0AL6wnPwPmsLYQt6MwxBb4X56Lvg 3eQYTCx71N40dyH6HL7ZjfFl7HvlJ/ZudHv054pleK/65kXoc1nvzvgK9teM W2Eo+hv4Gb0NhqF/EOjv4Ub0d/Aj+qew1jPyvR8sTt7DZPSLMC557jz08zpX 9Bj9B/rb8H/pm7PR/WE5+lNYofOEeck58Av617Avw+EP9A75gB4BPUuOKbc2 wp/oneG1bfA6eiqsSPZpDvoq+BD9GbyKfk05Jw1fKlbh2CsmT6L7EK8ejHOw /2X8B0bKN9iO/j3sm3zajf4vvDYKzkd34P2/0WNhL/ae8Jpy8n50J9ar9Bzs gr/Cvus/7kYvLPtTDilWi2B9cszeRs+CVdordMuuEdXGQTAQ2jE3i7WZ0D27 RutKDtZgD5HP2hucnF1TqqVDoT32DfKJtV3QBbsRuxlk6JpdIx3LXA/sMYxt 4HA4Hfu07Fpoh/2W6ioce/mk2h8XXlMPWK5aUN6yNg1OYv3W4sshUJ2dU8ol +aTcv6OcjWrgGOyRjAn2K7l+Z7iWlfPXyC/mlih2cGZ2DujsOzNerv9hbgH2 m9AS3Qp2okcn967x4WfVw3pm94D6sucW2AfDTcnvNFfvgB3Jc4HOsB3dBHXo 4by3D70HemM/Vmq5QXWn2ofV2GvhOvSRPLMUPT2519zO3OzknnMAdrPsb+s/ lbtPlFpXDg8qZ6qzVE52zu5pNSVm9dk52aH4NDNcY6ot5dhqnV24l22GNei1 Ya2euhJ9abh3vwet+d4V4VgugivRS2BDck9YqrXwmuaOU+xK7jaHS8I9Qr1B NbAYPQ3mJ9fA3HCNqbbWaK7kkHJnC/RCrwtrvTMjXDOqlU+Se830sFbPUayH hr+lmD8ePpOGEuMBeja8t6nwEnoZbEruMaPCNaLa0B3RBn1t+KyUc4dhXx3O vRnwQrhnq1erJ9Vm30nVpSabwjFRLHQHjQ7fIbo7dAfeEq4R1Ybu3NtKDar2 dCcOLjWu2tad0BZ9fbgXKIdWoS8L70U5n9SLsu9K5eiwcI4qN3VHjig1ptqq KnufF85NxeDi8J2mu0w1/D+SZxDz "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWPmbjmUU/izveUmUpZQtJqX9t/oLQhj7vgwzw4wxYzBZZ2zZmbFvZTf2 sZMlS5ZIJJJIRJYQGbJElOi+r3PPNd8P93XO97znPc/znHOf8zzfWyOxZ7Me RSORyJAikUgxyGkWiUwHNgSRyFCgNlAH+AaYB4wEhuD5u2Ekkgf9a2AuMAJY D8wGhgH7gDnAcOAQMB8YBZwElgA5wBFgITAGOAwsAEYD3wO5wFjgR2AxkA38 ACwCxgGngKXAeOAXYBIwETgLtAGSgLZAfaABEAc0AhrreT096wA01LN2so0F Osq2CdBJsikwGWgNdAH2yA9/x+t5MyBBsjmQKNkC6CzZEjgNLAMmKC7zNe8F rTsZuAa0B1KAfK21G3Bb+0kF/tJa04CHWmt34LHWlA5EzNfUAyhuvqaeQAnz NfUCtgFTgAxgGvAx0BcoA5vSQG/oM4A+wAAgUzptyuF5WaCf1hurmA6Osn0R z18AsqB/EjinyK3Z4shHgfNlhGJKTo1UjuYpRg0Up9Gag3wZo7nIo7HKY644 wvyRL9nKH3mUozyRg+OVp6XKA/N0WTzoCgwC+msPzNVE5Y/ra6O8F/Cjo/zG 63esYtFO6+ug3w001lbr66hcFvAmXhxI0hz9tY6BWluy3i3gFt8h57toPQU8 S1Qs4jT3Ne2Jc5NLKVoPedJdayaXUvUOuZSm9ZEnPeWTXErXOqcGzhlyZXrg vCEnyIVMcYNc7aY1zAycQ9wTOdVX7/KdTMX5WYxvD5yP/D1Y+yd3Bsvus8B7 Ezm0Ruugnx3AF4Hzi3EepTzM0hj5Rj6N1PMa5tyrJ7vRyhUxRvFjXsYHhTVM DrTUs7HKITFOXCCyxQUiRz44xwjNvzfw3tFKfifId33llnnfFHh/naL4TFM8 lwfeg5jvzcDKoLBeacs6Xat88L0twCrFnfPP1TyvYO/VzH311/MBiuunitXW wOuTtck4zdE+GINJigN90FcrxW+B4sfY5Co2jMdixWOj9tBFMVukmDEGyxQH xmxJVOyXKk6rgRWB96hV2mdBbFZGxSBPNjNk10fP18gmT75oQ26sC5wfXNcG xTfGnB97FMvNmof+tynOU5WnKXqf3CMnZyrunH+37DMkt+vdSubPMrSnz6V/ GTiPC/xRryu5U/o62dFmV+DnLs9ccpZ9sJHywrW3Vg6/isrh/iguHAi8Hthj DwaFZ9G3Ufn8Lsr30ajcHovK4fGoPJ+IyuFPUTn8OSrPZwLnEbl+Vus8Jz1J a96qfZ3XsyTJXwPnD2vlgnxclJ4seVH2v0lPlrykcfbBy/JxRXpXySuy/116 V8mrGmffvCYf16WnSF6XPfnDOmft3NB4iuQfsmFPzJe/P4GbQeH5fkd6vsZT NMZnqRq7pfF7epYqeVfv3gceaDwwP/vZx9nT2evjZEM9TfK+7P+Wnia721ov fdAX7xI8Mx7KH+Uj2VP+I53nxGPZ/ic9XZK/efY8lc7xf/V+d409kV7E/Ozh vMXMf1OPSE+XTVHpCXrG+RO17gT5fiifxeWD46H2xfjwrOF9ZQj0kubnH+9I rFeeT6xjnrEldJeizTNWeKcqKZ11znOu4C5VWnckoqzOP8pyuhfxeRnZPCed Piqb/6bOsedlU0pz9VJ+TfvJlN8s8SRffMjS3vi8KmRF2XD+CtIrau/UB8ue ceDYS9IpX5bOHlNN/b8KZHmtjf2MPY49bbv2wPVz7VVkwzmraq7yigPH2QNY 56zxyfLP/sD+xZ7MmiroWTzHA/wXaWNeB0WhtzKvpxLQ25lzuQz0juZcmw+5 0Ly/lsJ4B3PeNYd8Yl6fDSHvm/ea1qyd0OuqJfkWeu015XvmfWEt12V+fjaG fGjea9ZArlYveBPv1TY/N55CtjDvDfcg75r/j+kO+VboZ04383doPwv6q6Gf KyOhx4R+tlWE7GLOhT7A26Hfjx5Ab2TeOwdCvhP6+fYGZBJ+VwceAU3Me+Rj yGbmPa8sbOLN62wQ8HroZ1St0N+vrrOFueB9oDM5E3oNtGcthF7/baGHofeg 2eZ74PrnQr5mfpZNhXxf/GkAudi850+CXC6bGZCx5ncHruVD8/XMgZxgfh6u Y3zM7y4fmPulT/quK50xyDKPQz/IZeZnKn1MlB/Gr7d5DGtCzza/Z0yBnGx+ 1jI/dcxz1AOyWuhcTgMqh87xTqzT0PtRAusi9PqMA0qH3tcyoNcIvZ7GK3+c d5E5R8lP5nmUea75n3uo+f0lGXKmeZ1VwHiieQ9jTmJUI+9hfLj53ScFcol5 LZKLMcphJdikmveXYebv0J6xn6v474Pcb34/qGfOdfL8POvD/D/6ScgT5v/d t3Ee83vGAsia5veiI5BHze8TV8k18/tBdczZy7z3rAAGmN9rzkCeNv/fTx85 8rMTcof5twfmar3itgtyt/mdZhVkV/OenWfOLfJqL/dt/j3jIOQh87vOFsha itsB+jb/bkGe5ioOFyEvmd9vbkDmm99pLrOGzL9tXIe8Zv59oir2lW7e244z Tub3p8Oc0/ybxzzmx/yucxvyjvnd6BR9m9+xNjLP5ne4s5DnzO9b7CtbzfN5 jLE3/6ayGXKT+TeYW5A3zb83sLbqKw7/A1pmWo4= "]], Polygon[CompressedData[" 1:eJwtlnnUTlUUxl/D2TdRhAyfT7EaNM+reR5Qq1GleRIy5PvUWg2alCkkqSSl AUlUSsZCZAiJZEgihCKEUISi37Oe+8dvnefce+59z93n2Xu/9ZuVNikpWygU BkB5uDQKhepZoZAxlqZCoRNjDxiB/hBeQPeC/uiG0BldxPrKjHWgG9RlXo2x GE6CH+F71g6CI7jXhflH6HGwBL0MFqB7wPPoeqypqffAtfAXrODeKvgF/Sv8 oL3A1egn4QP0KNiI3gI/oV+EregdsBzdG35Db9Ce0L1gOXoVLEL3hC/RU2EW ugvMQn8r0N1gBnoadEXPVkzQw+E59HjoiO4OH6OHw63ocnzPNvQOmKtYwDx9 a/K7ZsI3ye9coG+D+ejucDjPPsS8FtSA9uFr0opRf/12+GzGwkr0KfBe8jct Cr9T7/oO+qCPhjfRI+FE9MLwvYFwEboi79+LfhC+Zn48vJO8xzHoY2AAejo0 QL8d/vbG8Dv6NHg/OcZnoV8Ln01zOAe9G9aiW8IF6JQ5Nm1gadgT8oI8sxl9 OgxNPtOJ6GPhLe0NzkbvDHujBZyPLsv7tqJbw4XMD2C+C90WzmX+L6xHPwDn offDJnQreB39TPjsxug30SfD4GSPzg/HTLHSGQ5EvxvOhc/hKvQwmJzsiUcU K/gU/YZiGPaUvDQHLkYfzP72o9tBqc4mnBv94FnlCkxBF+VnMTv8rM6kYe4B nX1feAL9KnyWnBN90R2gT/K1tehTYUhyDn2FPk5nmOz5OegT9E3Jnl+c57By V57UvXkwN3nNJehD2H85xhJ5LOxxeVtrrgjHVLF8BZ5Gt4TR6GGKGXpS+Cw7 w/XoXbA62SOPo18Oe1Ux3Rc+Q53dRvgPfWNYb4Ap4RxW7s5M9srksJZn9qBv gHWqBVCZvd8jz0AZ2Bv2qLypNVUyn5HORmv+CXtOXluT7M0/YVmyRyux/i7m +7Q3KJPZY/LWluRvuy78rL6xwP2bw/c2w9/hnFGurEyufdeEtWqgcu8LmJGc gxPCMVTsdK0q77uPeSiv4CjmZzI2VS1hPJT5/YwHQgWolvkMdXZ6Zki4pquW T1COMNZiTaXcg7XRbdFV5Fuoz/xhxtrhGlXMvISxOlSFGpl7inqJfrNf2NNF uQe2hWu0arNieFjmHlA3f0dXOJJrnyT3jDqZe0xxvofR8jp04t40uBzdgDX1 wv46KHNNUy3TmfwR7hHqDUuTa+Go8LOqiRVYfwfzPejd2nPmGqLaoWuN0CNg anJMGyu35XF0R7gMXZNnKjK2T86t6eFeoRxTb3gq35t6RJtwTBVL9VD12tbh XFHP7am9h3NbMWga9oy8ohp3UzgH5H3VsCZhj8vbqnHrwz1PvW4JjERfGd6r erhqwbrwPdUE9Y7VsDi5h6wJ91z1Wl1rEc5h7V8xVm38GRYm18gV4Z6qXqpr Opux4V6hM2qXe0Te0H+Ee8M5qNxTDekNjymHk2tmcO825juVG8m9ZVP47NRj ssw9RL1Da9Rrb2G+Pbnnls/cE9QLdG0o+iVohJ6kd6AfDeuJyV5vlXtfnt8O Z+iZ5P8QzcI5ptzSf6S7wzmvXFcNvz28Z+1VPefOsKfkJfXU5nkOKvfkkfEw Ltw75akOec4qV1WzFQvtUXtTTAahB4d7jb7hf6OqWvk= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt02dbzmEYwOG/PSoreyUzkZW9Qx8gH8HhNV/CKpQV2VtRITt7j+wZ2Stl lRAyz/+RF7/jvK/rfp5Xz/3ETps5dUadIAguqbvCcwM10XRtCmfLdazP9WzI uWzMDWzEjeF3OI8R3Mym3MJIpvKlXuuV1uqxrqil+2y2YA5b8To7cic7cBc7 8Sa7cQ9juJexvM3ePMBePMg+vMO+PMQ4FjKedzmQRzmAxziIxRzKk0zkKQ7j fY7gaQ7nGY7kB77Te2Vqsl2ypmixeZnO64LO6YEmuVvEpSrRWSXZZfC5xjiP 1RCdMA/mcd7TROd0vlW5ypRg118LnZfosPqZj/CZnmqUebR6an/4W3Mfe/AW u7KAnbmbXXiD7ZnPtsxjO17jE+XqqibYLWAb7mA0t7M157M5tzGKW9mMaXyk NSrVG73QZdVzvzp8i1zFuiwKah/nSvxRlv7+f7cPtUIXtVzjfW6c5jj/0m/9 0E/VaLaq9U2f9VVfNEufVKWPqlSFvislqP1//APdjGr0 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{327, 326, 330, 764, 755, 756, 754, 758, 757, 652, 760, 761, 759, 763, 762, 653, 766, 767, 765, 769, 768, 654, 742, 844, 729, 753, 677, 751, 676, 752, 651, 329, 328, 327}], Line[CompressedData[" 1:eJwl08dyzXEYx+F/EjWI3gnRa4geLRKd0cLK0saOjRtwBdFbRMtMiOhdiOgk SHQmapRBlAuw8rxj8Znn9545u/M9WWvWF65LSZKkXms9Vis3NUmKNSotSW5y BG9wJPdwOK9zKKs5jLs5hNc4iFUczF0cyKvM4hUO4E72ZyUzeZn9uIN9eYm9 eZF9uJ29eIE9eJ49uY3deY5deZbduJVdeIadeJqduYUdeYrteZIduJkZPMG2 PM523MRWPMoWLGdLFrEZDzOVZUzjETZnA9NZwdY8xjZ8w2ze4mje5hi+ZQ7v cCzvchyXaom+ub/rvsa77/Gg9mqCe6KavH/ql0q0wmfvWKNJ3rWczOVaph/u fSr0fsCvOqT9Wumz93yoXO+pmqJH7lId0DT3dP32/qOPWuX+wJms4wzWM4+N zOdjzuITFvAT5/ApZ/MZ5/Iz5/M55/EFF/ALF/ElF/IVF/N1fC92E5uJHcW2 YlextdhfbC/2GBuNfcZmY8ex4dh1bD12Fr+d/vovNKlBtapUhUpUpI3akPL/ f/MP90phdA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0llTD1AYwOGTfykppeuY8SGyy5K44IK0KqLMcFXjAyjkOyAZy1VZpmxD KmtF1kLZk7JkCSHZeYyLZ35n3jPn4pw5U0rKs8qiQggnyI2EkEMHm6JDqGU7 O6jkNBU0sZNmDjKVoxyjniM0kMYlLtPGCtrJpoMtXCWHK+Ryja1MjAkhT5M1 X1O0Sg9znnMUsJslTLJfqqm6TifrUj3Fek6ygUYusJ9C9nGAOvawl23MdX6x 1rCIZbRykdvcYjqHOMsZsjjOclrYzC6qmcYNbnKdLjqZQTc93OEed5nJAx5y n8c8YhZP6KOXfp4ym2c8Z4CXvGAOr3jNIG95QzrveM8Qw3z4d28+8ZmPfGGE eXzlG6P84Dvz+cVvfhK82x9dwBjrCFHEEE2GeazGMZZ4xrHQPEETGU8SE8g0 3+g/llLCWtZQzGpWUUQhKykgn7zI///8F91CaT0= "]], Line[CompressedData[" 1:eJwl0ckuHlAcxuEjvl6BqWVhHqrmqSiCdkGTkliK8UtIjB9qLhIL89CamliQ iGknseAaXJZHLH55/m/O8mRGY12TcSGENT3Gh7CkVa1rQzs60JHOdK4LXelG uZEQ7viiFff921bjhxCO2cATNvE//6jV3clb/dMP+4hnWlaL3cEbHeq7/Zen WlKz/YvXqnd/U50W7a9cYC0PWMN5VnGO1dxnJWdZzt+s4B7LOMMSTrOUuyzm FL8wxiLusJCTLOAEP3Ob+RxnLseYxy3mcJRZHGE2N5nJYaZziBnc4KW69aRn Pein0rxH+YmDTGU7P7KfyexjCtuYxF4msIeJHIi8//krm6A0MQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1433, 1349, 1431, 1571, 1711, 1608, 1710, 1609, 1712, 1651, 1835, 1652, 1676, 1675, 1572, 1695, 1696, 1694, 1698, 1697, 1573, 1692, 1703, 1679, 1702, 1654, 1701, 1655, 1678, 1677, 1691, 1653, 1433}], Line[CompressedData[" 1:eJwl0slTD3AYwOFv+JU9Wc8OSsq+ZCcdmkFURJGtnHEUf0Qpjp1c1HAgogjZ Q8i+kyQksqdsj3F45jPzXt55Z97RBVuzt0SFEGoojISQQzHTokP4xGc+8JFO ptLBe97yjnam8Jo3tNLGKybTwkue84JmJvGUZzziCY+ZyAMecpf73GMCt7lD E7e4yXiuc4OrXKORZC5zhYs0cIkkznOBM5zjLOM4TT11nOIkiRznBMeopYax HOYIB6niEPGUsIvt7GMxe1lCBZWUk0A1R9nPAdKZTikzGBMTQpHupowd/24z 26lL2UMKX8ngC8v4xky6WM53MvnBLHrIoptsfjKb36zgFyv5wxyi7MzRoKu0 l87VPrpae2uuRnSexmieRusa7avztb+u1X6arwN0gQ7SdTpQ1+tgXahDdIPG 6kaN01Qdppt0qBbocF2kI7VQR+hmHaVpui3y/7//Am5JZoM= "]], Line[{1430, 1399, 1403, 1404, 1405, 1406, 1561, 1650, 1825, 1649, 1823, 1648, 1824, 1671, 1822, 1646, 1820, 1645, 1821, 1670, 1819, 1643, 1817, 1642, 1818, 1667, 1700, 1640, 1816, 1639, 1707, 1664, 1686, 1638, 1661, 1637, 1832, 1831, 1604, 1830, 1660, 1672, 1663, 1837, 1662, 1687, 1605, 1833, 1641, 1673, 1666, 1838, 1665, 1688, 1606, 1834, 1644, 1674, 1828, 1669, 1826, 1668, 1827, 1689, 1690, 1647, 1430}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.2749999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.2749999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdQVle3/7H32KLGhhK7YjeosWw0GrtBUWxYYosae8FGYkGMvWJDo9gQ G/ZueBQVFBGRjqB0BKRJs+vNb+b5rDNzMhl+Tt7c+7735i/mM2uvw/M9Z5+9 19p7r2M2dsbACQVNTEyGFjMx+X9/ly7+0MzUMcLw/S0Hw8iOp1U3j+nBpwcH Cpct6PFyZV8v4aGmiyqcuXhEGP/hPZ5E3OjiKf4w/jD+MP6FT74KHTjBV/xh /GH8Ya+EAk9sY8+rISVKTpndLVDZTnMxK+HvI5ySPTpl1o5gYdqbX68yqYNN mLSHaQ/TvsCMehMLT3oi7WHaw7R/vqnq2cSOMdIepj1M+8FTare8fydO2sO0 h2lv+KbB6VP9E6U9jL1RzWbNnUKTxA5j35rXxn3BmOcqdo/F8h+mhRqe2u0v 03zcTtXX0G9AzmI/YZ4PfHi1bcfWX18Xxj+1eaHn66/5iz+MP4w/zPOE25xc faT4Z1uUZ2y5ZJsHwWpVQIMdDU+FC2Pfvs30Wa2ox2KHsU/taZ6QlBkl7PJ+ z4uhy2KFS4YenNmpZILw3NPHMsy2PlN9K+3sdG3Joz/Yn64+M71ojRThnuMu p6UcSlW1T5e7u9vFU+zcX+z0Z+4X/RlGP0x77gft9feH/ox+GDv9FzuMnf4K 0x9h+htM/+L+wNjpXzD9i/sDVxwQXzRqwlF1YM/KxiYmAWp34Xdbt68NVOPX T9hkdyJBeWwImzvwspdqZzlng/JIUfYbp/w0bPR6wxdmqcsbDXYVnr7yo03b dD/VPu6WZb+DoXK9Qgc3W/iU/02ln8h7cKZgqrTX3z/a8/voXzD3E73YYf39 PtvRMPVh0wzh9w87NB2ZnKZarnMO67ow3GDufmyw+cyZauvJgCbrvg8WzvUr uSS41yNh92jHQ53G+wjz/sCz6uT19m/jKTzJ1zf2TsnzwrxfJRvtu5Yx+qr0 L5j7YWG3+bf6/S8IR0WcuHJ5lkH8m79JCV9t7S3+MO1v144fftjntrBz4Iuh 0yPvyf3n/r7pM8nP8MxPmPvH+8n4BvM8L0a4HbY78VR40+MhW046R4s/7zP+ MM+P95nxD+b3VHuT9DApM1HYb+LUsiO+StL6Z9VFZer2SBN9zHcw8xesn4/Q S3+G+T36/g+jB0Y/7yf/j+fN/eB95Xqna8daFZ4UL/eD95PfsyIwo/+Dhcni z/jJ/4f5/30LHqi/pU6k/H7eB65X2m790fhVQeKPnd+Dnfs7dOX7vtvXpst4 5/WLIXVJ34TOjHcw/Q/mfaiS9L720V2PVNCK4mUa3tHGv5Jd/GtMfx/+h/l8 eqeWWfULxqtB39SqVzQs4A/zZ9f4+V+89k1Wy+skxwcl3ZbxyurSwBLT2pyX 93lsjZr2ww8EqllhiX0cziWoBSfWd61fy1upOmcmN/FLUSZbH2SX/+m8ehAw 8JhjTJr6dei6DzftnFXPTkd2LhySoexvrry1wDK0c9kVYWfTp6wRfjz4+Zg5 d/cLB0Vs9lvmdEnY0u6E28gmvwk7WY+PC0i7I+zjMsvf8spd4b2Rhhlni/ur V1dOpd0KDDMce3lhy9Lf79f1d7WcbA75C3/4ufa8gOQbwtxvOPV5x9g7RwwK 5vpzNz6YtrhasHA5i0HjWy0NURavTANGVfWX9rMvuDfx7RkmfLZiXPbmV+Eq cciUiVH7NP+eXSN+7Gb+WDg+6fuxbzdHqOIVF8Tt9QtXmeU2rDl4X7Ob5iZN LtM5SvjJg7YtYgdEq2qXh0/bmRmmfv9fwbGLotSe05GZD/eHqZ0115R/0ida 2r+2ftv6eYNY4R5HOp/yeqzxuKYFzz08HS98Zmn3ZsfHJQg/KFqi1fn2z4Sr D+97cmPqMzWwbtaWb2YGSfxg1eVU9zMtHqkBlS3Luy16pi4/+yFzk6u/avo0 58n3IZp/2+iyZ3Z6Jgs7trY2nzsvRXj/lcotfuqTKpxRevjxoR9S1XjbcS/3 nr8n8ceKQgMnxEbeUL06H1n3elSqjEely9wv4RCSppIKzba0nWyQ+KSN0+LC C2smeBB/cH0Z74ws452R9fE6z5f3F+b/6/uPPl7HzvsKE7+Etg6buOZAgPjz fsPEM743m24uPSlc4hv8d7jYbW59O0LaM546Tf0+0rtImDa+Gu2Mp7A+/pl0 snZGse7a82N8hfXxT+3mCYM9XjxXXQzrTz1rf0j0JcR+PSpks7uw3daQRSaG QDX6WIMLa/YkqKHWvl8d6HRXDZ6w8vNXy7T+MCQ19VBUzDHhfdZL/Ercf6BM yocP9nsfItdLurq+2m2vYJV2z9R5dlCcuri384iKb3zVS/NhdUc2TVZjfhw7 bXexXQb98yl50St9+2btfhM/Mf/QnnhH78/8RX7AeE1+ABNvwNwvaW+83/CX x/2sbd9o+cCmiI3Hjr4LV3ZzLayGvA9Wi8Ku2bf7GK5aeH05+3DdMOUce3Hd AF8tP2jY5775Lz7hanzFFqMrZj6W/h/k/PqHfkHpwpuerpg14JcMYcZ/9DAf 9S99PWVyXLihhffanobBLp0/L73Qq3pZje2anqk64WWQ8OmmOZ3O3Q8W5n5w vQrfmW9+d+6R2MP6J091j/IXnh3ddWnGxnvCKdF3765td1+Y+RHm/nL9E3Xa zzAtcUvsFnXO1V8+5qZw+v1vnRuNPSsc6zuwydhzF4S5HxJPGp/3znKbT9wv dk57X1xsEkr8Pg7RXuJHoz03bVzA/CO3hCcXnR2z+6OPmjLK8dZN08fSv5rt z508KOORcLz3/dp+S24JW1VasOGmy0XhpQ5mbX3mnhGuNjxxjd/iq9I/+T30 H/7/Idt+Cf1eBgo/nRSUOvr3uGflkS2vbu55IP69HUztZniFq95L97yPHBgo 16N/4b+o7Ii4yiXChc9Xj01peCFS7Twaf/3g23DVeF3N7bscw8Sf+Jf2/T0n xURVeyrc/dn8nAVx0Wrv0zaN9/mHSbzs3Nrj6rZR4epx92MLnu96otpVHHk8 97swVdK6ef16/tFyfeJjrrf562szBm3XxrtTN36eM3JqnGq1r6d592KhEk/3 vPPmnevmULVsTKPDbuExyq2oz8NYx1AV513Iu0NSjFq5cmFZy6xgNdxCrTlx NE5Z3B/dpsPlEMV8Kv3FOB/y/95W9ExvV0ubX6s6O2Z1yU2Q9sTr2Cek3Z1W 0y1R2GHOuln1f05Sefsi+7iUfiTxfbOfbaIr/vZQlbtc6MVYmyRtfjPOj/g/ 9HqYWqClNt+m9d2aWbLYc2nP/Ii9vUvIj4lXnmvjb33nGRkb05Tvkt8qlyoW Iv1teMQzyzLXg4S/dByxqMOp+8Jfdzztp6reE+6dUnDfoGl3pH+1au3e26rQ XeGxrcofrZIYIBwUkvhzpZZBwsTnM1pN+ey0Z4ya6ratWM0Qbb1o3fyGHbdV 9ZP4n3xnWgdP/1s7k5RLrwfRNQduk/f70tqv28+vtlR4fFqNkyNvhauVoSHL 0tsGKqvRRZx8PIKUYdf+cvW941W5uktvLJwdoJ5O/HlSxK5EVbfntNCp1XxU 3GB/72cfk5Vz87z5fUreVonz1tZfuPO5KulYw+HNjHDVbd510zjLJ8reM6nn 5Qkukj8/vuh7w3/tWfVVkeke56qkq9jujm5Hux5XbWdeLV1qb7rkw90Dk1uk DLhsIP6AiT9g4lkY/7u1fGO/aLJJ/GH8Yfzh+mcyvonyeiL5RstLhv7138YK P9z2y9vICs+Ep839zm1r4+fCpayrDO7dNUM4eGfGUpOTL4TrrrIOjbicLTxn /qWml27nCntOrL5ii/9L4fI2Sx5Pi3wtPKZ7XIteSW+FT7Xp8UvdnPfCH+sc f/Lx40dh9BBPoQdGD4weGD0wemD0wOiB0QOjB0YPjB4YPTB6iP/QA6MHRg+M Hhg9MHpg9MDogdEDowdGD4weGD3Ep+iB0QOjB0YPjB4YPTB6YPTA6IHRA6MH Rg+MHsYn9MDogdEDowdGD4weGD0wemD0wOiB0QOjR78+T36APhh9MPpg9MHo g9EHow9GH4w+GH0w+mD0weiD0cf8gT4YfTD6YPTB6IPRB6MPRh+MPhh9MPpg 9MHo0++PkK+hF0YvjF4YvTB6YfTC6IXRC6MXRi+MXhi9MHph9MLk4+Qz6IfR D6Nf1rON+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6P//CCzkNrtM0U/jH4Y /TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPo3/yzUOVtv70QvTD6IfRD6Mf Rj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+k2bNRxcxDNL9MPoh9EPox9GP4x+ GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6A52PO80vmiP6YfTD6IfRD6MfRj+Mfhj9 MPph9MPoh9EPox9GP4x+GP2rijUPSu6dK/ph9MPoh9EPox9GP4x+GP0w+mH0 w+iH0Q+jH0Y/jH4Y/Z3nnq1ouzFP9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+j H0Y/jH4Y/TDrwayfwKx3wKxXcD9g1iP15wVYX+B+wqxnynq7cb30s1JxucMi MoVvz5/4lW+tLOEF8clzO4/PFm42YNr50245wnG/ZWZ/mZYrrNenX/8m/oaJ X/n9+v175guY8RNmPIF5v2D6W+jNtWmFrkX8YT+T/UnWI9iPjPUe8ap3RrSs 78Lkq0td6xwuUCxB7DB2U8fnAy6bJosdxn593LkP0y3SxA5jb7r/t+AKRzLF DmO332Rmnn42S+wwdt8ljsvveeSIHcZebUZy2CGfPLHD2KeM6td8acgrscPY L/c74zgi9o3YYezFO1WKtEh/J3YY+xDzha0qvPkgdli/HoCd5zf/O6eG98qH yvNgvZP2MO3ZL6b/s77D+AOzH1wme+m64v4Zsh/QNmLP5NO2J2T9BWb/YWbt yFZmlueEN8xbNs20/QED6/O0h1m/Yb0dO4yd/w/Pc7F2vhoQJf0Xfexnh7m/ eF2xQLzY7dZfcfX5Ikn486nLrJe1SBUedriuSY26mcJuTqtsXjbPEn7lkHoi oEOO8LdzrAq598gT3j72/LDV1q+E4wd8cXr86DfCbbrYF7X88Z2wQ4to2+rz Pwg3aViheImfPv5BT0zD3UdOOofL+/ltj4hHtaJihN+cG1V+S504eZ7E03Le Q3deQr9exv9bY1h/sF1ujDDzCdxw72CrjNKJwswvsJd9zfeH66YIM9/A40ck HLXtmC7M/AMX+NXmeInGL4SZj2CrdVcLJHyVLcz8BLssNh16o0uuMPMVnD5l ufvufi+Fmb/gzsMTC88f9lqY+Qxe16v3iIET3gozv8GR7dzPNJ31Xpj5Tj++ Mr4zvjK+M/4zfzG/wZzX4HwM8wPzF/MbzPkPzlvRHzjfwfNlPOH58/7wfLHz /LHzfLHz/LHzfLHz/LHzfLHz/LHzfLHz/LHzfLHz/LHzfLHz/LHzfLHz/LHz fLHz/LHzfLHz/LET32Dn/cbOeM36KOMZ77ucTzK+v7zfMP2F9SD6l75/sL5A f6M/sJ+iX6///z3v8+9+vof9oICrEWZer08bYF/L5RuD7rgahrTf51mjY/Sf nn/JrfLDjEDreLFvzWtWY82PScItg/PuWjqkCicOi7q6uF+msEWvb8oPGZYl vLLdkR9aTcjR9osalPIoMytPuG6VGZ8n27/SzucUDZxye9UbYc9ci5v7nN4J l0twrrLY5YMw/Y39eP35nPzO33zq+ZhPPd/C/e9oUaHKQfdM4dioc0Hlir8Q zjywzaZStsbb+7b93KFvlrBr2arbf2mbLdz3ylXr3E0aD7ffE/x6cY6wSf3O W38I1rhccq1KU2/kCl/ccjMgvGqeMPE6rJ8v5fkbx0+Y8RJmfIQZD2HGP3n+ xvEOZnyT528cz2DGL5jxCmZ8gvM7f6M/b6M/T6M/L8P4oc9Hgja02mSzXjtP R34i58OM+QlMfgKTn+zNcCnoWClC6+9OdmHLx0QK6/c/8zufo99Pze/8DeMz 7xP5DEz+ApOvwOQnMPkITP4Bk2/A5Bcw+YS838b8ASZf+LvO4+j3gz02RfU4 NttZVejuMGDCEO08juQDxuf52crIb+xXXhDeO6jADv+huw3/18/rdPSbdKpD 06g/Pb9yrbv9ikHucWIfVrdby1Je2vjysmDppzefaOPLtpjANQtytfGlWvSD 3TuKavPPlIcts2ZX0Oafyx7bevY31eaf4u6v9zZqrM0/Nr+OzC1soc0/rutu 9onuos0/eYvrHbjWT5t/9s4Z0u+o9Uft+pG+npNcNdafr/nU8zL/6vMv+Z1P 6f9Fxv20lteU5Uiny+/N0lT0VzWbjZ2inc8knn68Y9mNcymp+Z6P4P1gfYn3 YWWjrPOhEzTenhpoEWn1Qtqz/iTz5/Z5Ob2OaeNp32FD7Ppvy5L2rE/JfFrw devr6Zq/idfjCzfCs6U961cyv86wn9OstcYXW43KbWWaK+1Z38JuG/nxrMt8 jafsi2lzeGye5Jv092k2XzRbeCBG+sORhoWqvuqhzZ+lvop+3PxqgnD3Yvfv uI9OFD5a0e2XxEfJwnEJW2ZPmJ8i3CNrRptff48T4WW3h9eqsTFdeG7S7syj Jtp8u2FA+YmTrTX2DP34rWNpbf59ajnverfRGlfwHvfrmC+0+bhZi/AKtX/U eMxF7+wOdbX52b5Wp8lv7TQ+fbhJ7yottPna97P9hpDlGn9w2uiS1UGbv6t9 KFz57AaN+6/IznvQQ5vPp6RNmrreWeO/et7oX35+yNgfopdYvZxcWtvPI98g P4CJr2DiK5j4Cia+gomvYOIrmPgKJr6Cia9g4iuY+AomvoKJv/X69PEjjD4Y fTD6YPTB6IPRB6MPRh+MPhh9MPpg9MHE95xH5/nC2Dmfjh3m/sC05/w67WHa w8zP5J/krzD5K0z+KuvV1G8Z81X8Yfxh/GH8iafxh/GH8YfxJ97GH8Yfxh/G n/cbfxh/GH8Yf/Jx/GH8Yfxh/BlP8Ifxh/GH8Sffxx/GH8Yfxp/1Afxh/GH8 YfzJX/CH8Yfxh/Env8Efxh+mPfkP7WHs5EPkX7Iezn6WsR5E6l+NLPWuOjvn wWX/i3pi6mmNdtpzHhymvoDrSz2x0R/m/dTXExPvEJ8TzxD/E69wPf34otfD +EJ7GLt+fNHr09cD8nu5PzDzI/V8rL9Sn8l8S70rz8/Ebl1dpyE50p7fR7zI 9Vjfg4mX9PWYzCf8HvZXpD7e6M/9lP05I0u9rPH+S72skbHzvLDD2NkP4v+x fkD/hHl+5M+y32Nk7OTT2GHs5NfYYezk29hh7OTf2GHs5OOSrxoZO/k5dhg7 +Tp2GDv5O3YYO/k8dhg7+T12GDv5PnZY9tOM/Yf3mfcBpv9SH0w9NP2P+meY +maY+maY8VHPsh9r7N+sf8PsX9LfWH/AX+o3jO1ZH4fZz8SffBJ/qd8wtqd+ GaZ+GX/yS/ylPsPYnv03mP03qe82rp9KfTf1Fcb27K/D1NfjTz6Kv9RbGNuz vg9THy3ffzCux8r3C6ivMLZnPx+mnh9/8lv8pd7C2F5fv89+BP6sD+EP0579 J5j9ZcY3+jP9k/Ga+nz6F/MnTH0+zPwL8//kvAD12tQrGpn4DNbXd0v9oZGJ h2CpNzQy8Qqsjz+Y/3j/XA0+hUdc0Jh4gPEcO/ebeIT3MaZ5wYmd1mjzrX7+ JR7hfm3f43j4lN8Lub5+fiY+4f73KVEiwaxitvw/3mfuN/+P8aJj4i1HO3Mt PuL6jC8vBva4kzRTi4cYL/h/+utj5/djZz60rxS3/pLfeYkfWK/DLut9xvEQ e7m0mv61ewXJfE2+hp18DSZfg8nXYPI1mHwNJl+Dyddg8jWYfA0mX4PJ12Dy tT+rz+f9PHT0uJ3/Ji3ezXSo9cH/vfa8DlXeUmRxt2xlF7Qybu68h6rZsa9L N9t50FAjoWqp6wMC1J4lll0bd930t9fP+220zl3TKUzZNC9VYUzNe3+op6/8 7cUHHb8LV+M/7l9Sb+n/fH09/Yv73a6d/RLD8HCJL/Orr8+vnv7vrpf/q/Xv cKmtNU99H5QuPCxxTONOv2Qomx8c3RtbnJXxwmd2SkB2qreMDzO/LB5c0jxI xkfJj1b1Oh84PUeVG5fx8vPjD2S+qHwsdMSVcH8tvsunXn5lkXA763NafqCv nz/bYHvGPI8w9XfV0+dXL6+vh8+v/j2/eneY+SfS37VRpNUNmQ+YT9pMdLhe uN8LtWBXGWvbjIcy/jN/TG3XYF63w1nq3b72owY5hf1hfjLb27L7rchs5d5v 5LBpCwNV1sn+gU3fHla2XcoccHMIVF1K/Tp0jr1rvvX29oWery3z+KLBZEd0 6N5yL9SaJp/Xq17vvmHnZ33Gvfk+S1laLf7WITzYMDdmyGPvA9lq72znnsd8 76nazYuUPVjukiH61erYAd/4q6Htdr7bNGWPwaNPvWOzKvrJ+G+xzGzdkQNB qkLK130eOJ9Vef0+hJ91CVErZpRq1OL1DVVt45pVLjeC1eV3O9xy72j9g3r+ nT4Dl6qYMNXeY6Lb9+MfKItLwyPcpu4zBFXPeX5nTKba4pX78VmTW4bEnMqr N1x7oaZ4ug7ofPSRYcyFQeVtC2erUY2KuvWu/dhgOt588qVOOWpizMT1v0Q8 lvyx5+rXjsO/vveH/I/ff3lFTdffcgOFf17xeNkMM40l/6z8skH/KFfJ35kP 1hwold508jVpb3+wypKJVz2E32yovstlnbfw8g3brArH3xH+q98n6LqwpnfX 4wF/yO//7HsFlUdP2zb2lK/6bHbJ3tWXnjZ4TfQPX7bkvuTD1y1N0k+cCFYp w60thjS5KuPvpkObK5uuvqIqdx50IrpwsOTv/+rvH/D7ub/673cUGZi5o8ql E3L/zKzC5rl+7qrdf933Iz61np/8m/9fY9yBZvXbh8r1bcYlDJxbJkw4p8vJ j43rRQpf7TIlItIqQph8Xc7/1G61auukKLH32vR1yEzTaOFdS/aa920cK7z4 o321ejdihMnvud699OiZJr5xYn82vaBDA4t44bajJoYX7JooXPVpN++I0ARh 1gO43g8P3Gpeinsmdsd+Ps2f9ksSDu7YbOWVYSnCl66XnrslI1mY9QOuV+TE TJ9pb5+LvY75lkinCanCc6rntZo5K1148O6g2r2Kacx6A9cb2H1Phy0lMrX3 p8jJ24c7a1z8/dMZW7u90N6/jn6JS8pqzPoE13NpY7JlWqUssZ/OKVd9WW+N h6Z29ZpulS3c07xVpxHVNWY9g+tl1hmf1NMsR+wm8XNn2dpo7BbhWqO3ba7w zurbt1o00Jj1D67XueLdznWb5om9f2CYd9uxGuf5lJxTb9JL4cSSb5LLt9aY 9RKut6Gg+baP7V6Jfa9nR9OK0zX+9ur0eyZzX2vj+5uRlmmdNWZ9hetFvtj4 /HG3N2JPPeMyN32hxk5HA2pFLnkrvCL55va7vTVmPYbrmcdkd7lo9U7sHfcX vn/PUeP4nRZ2l9a+Fw4Kq5d20EZj1m+4nr3/kJ2bbT+Ifc2mSWaHN2vcapWz 75YdH4Xr3l39zZKxGn/q9z0Crk15vzQ9VNaHfHza9tw+NlQ1Sjpb237RbfXq eMZPje1DladDzNRab2+r8QX83bqsDlO957Vx7f763//7IPl9r+FTvxfyqd8H +dTvffzd3+f4u7+/QXtZ/zHaDy58kuLTNV0dNb++7qDz94Yau/b6ZBXNlPWf HtXMm4UMdTXsHVH37MiUEFnP/7u/52Hb8mWBrpO3yHoK8YrXFWt396aZKqm+ ahb8OtRQIWdX3yuZ2vrMpH4F3i+rn6MafpfU6/mwEFmfsZk9oswiJ3eDWfWS uwddyVRd25woEWHmbfjyoXO3nmWz1PQ5ZQt95xFoOFvD3aXUoGx1e90Gr91r PAyzN84/cGjiCzX2RNOBbl89NHQ/1yDh0DmtPpB4ECbfIb+AiX/06xkw6xkw 6xkw6xkw6xkw6xkw6xkw6xkw6xkw6xkw6xkw6xkw6xl6PfQP9MDogdEDowdG D4weGD0wemD0wOiB0QOjB0YP+SZ6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdGj /x60fj+UfBK7fj+UfJL2MO1h1gM4L4o/jD+MP4w/533xh/GH8YeJ91l/ID/Q 74fJ95iN8bR8v9kYD8PEszDxKEw8Kd8DNMaDMPEcTDwGE0/BxEMw8QxMPALz fGGpxzTmJzDxA0z+h375/rRRP4x+GP0w+iWfNOqH0Q+jH0Y/jH4Y/TD6YfTr 97dZr6K/wOSTrF/Rv2DyT87f0R/19aSM9zDjO/0NO+M//Y/xn+fF+AIzvsCM LzDjC8z4AjO+wIwvMOMLzPgCM77AjC8w44u+vzFewow36OP5oA9GH4w+GH0w +mD0weiD0QejD0YfjD7999ZZD6V/MX7Snxgv6T+Mh6z38D1u9mfYf2G/hP0W 9leIVziPwHoK8Rj1m+zH8T1q4iOuz34P+0ns77BfRLzE+hb/T7++Rf9GD+cN 6O/673/J+Vjj70Ef/jJeGu38Pt4X9NKfiC/Qy3oR75P+/Ae/j3pNmHoumPo6 mPpUmPo6mHpVmPo6mPpVmPo6mHpWmPo6mPpWmPo6mHpXmPo6mPpXmPo6mHpY mPo6mPpYmPo6mHpZmPo6mPpZmPo6mOej/x46/YX3i/GY/iTnp43t6b+wfv+V 8Rp/OU9tbE9/h0eY9+/24HWO+HOeGn85X815hdiy44vu0bjcrkcOqrN2vpp4 BL3Mx7D+e+hSj2NkqccxstTjGJl4Sc5fGPeX9fWDf7b/ynrE//X910/db82v fjG//Vj9fql+f3TS6Jt9r4wPVz/b33M9kvx7vKOrh/xPr3/8q/WG+v3I/OoP 9fuV+dUj6vczP7U+kfeP+VC//5Df/qh+/1O/3/mfXu+o31/W19/kt/+pr1/M bz9UX9+Y3/5ofvWP+e2ffur+aH77T/9d+6fUN/1v3x/V12fp9zv19Vz/6v1N 4lnGw//0etZPrS/9Zz/0n/3Qf/ZD/9kPhf/q/qb+/J7+/I++nvt/W/0246t8 D+/frN44v/3D/L4n8U998t9bn/xX90/15+v09fP57a/K91yOj7i6IneOIb/9 1v8CceX1DA== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl2dQnFUUhs+FBAmw7MLCrkJ2wyIQEggJID0xITEhCTYgGisxYEk0gi1q 1PSCP+yjY++99xnbjP7RcUYdey+xlxm7YxnLjO/reRnz45l7vvvd797T725m aLR/JMvMosEsG+MhoA1kQCeoBnlgGAyBXHAk6ABV4DDQDipBEsRBCegCNSAf rACDYALIATjKeOZuGnnuFrAZFINpoBYUgK16N0PvuXcRmA4iIAa2g22gD4yB HWAANEifhL6L6dt6yXGR1Jp86Ue9ZoJuzbfL1mz5plJ6p8AeoAzMkjwZnAjW gN1lK/ecCBr1Pq39E/omT+9zZMeA9Bz3EedXg1WgVOclpPeg1mRrD+41Sd/k 6zkm++PyUUy+G9Iafr8RtEi3paBHz4tAM6jQGVWKY5b8kC1dymTLGslJPadk 8zz5nTqM6BzON2kNvzkcLAd7gr0VY+p6IFgMZoN7uW/w2K7XeeWys1q206aa Xeaman4OqANRsK95nhWIWn3HeGVkX4vspq5zzXOQ+bk/aNW79bKB+i9UjLl+ gXlOTFbckooB927T/qeAg8FeYAnYR3vRr+3ybZ3O5rkN8mNc9nXKxvnm+UR/ d2tdQnFLS0/a1yUb95MvovIx/RpRbDsU33rFgP4fVcxSik1GfmqV7tx/o9ZM 0dwizTfLL2nZdITOoW97tKZHPq2QLoulD3XplT5nSe/x2B2g+FGf5dKJfaAf FIJl5nVEuUgyfXic3nF+THJU3/XpXMbnUMUhpnnusVZnF0inQcXoWH3Pb08F R+k9xxW7rKWcq3GlZMI6ZA2eBo7WXL7mCzQ3rPnTdV5Ec8doDXsNayEpVmmu VHKJ3rM3lSuWjNd4fq7Weo4nSD5ez6XSb1A6nCk/0ocpJMJ9Wsv+vEXrl8m/ 9Ps6xS+q+XWSz9Be3Ie5xHpg7jDfTjbPJebVJvN8KdEZ3J+1cpLs6JXfJyjG mxWvTfqe+7AWWSesEd4PdVrbpL1S8g/rmbW8QXK5/HG2fDKiPdN6v0F7MA5r FYuViiV91S87aSN7+3bJA3oulM+2yq4B6Vesccz+z09+y1xkzzgXHCQ7dmjN leAD+eNqkBNcl2vBpOA6ztB5xfLfqGxnzTG3IrJxVH7rk5705zfgRvNe8jW4 wbwPseex3zGXvgLXm/fdC+iz4P2LuTws/9wNfpAun4CbzGs5D2vPM+/XXZBn B8+VDoydwf0Yw3iLed+aAvkB895XBbkyeH5Px/iI9CqFfKd5P5sJ+XHzntQE +UnzfJsK+SHlyOXgZ/n2W/CdfPwr+M2817wEksF78S/cI3hMXmG+BO/BT+g8 nvWUzuNZLcF9RP88C1qD9/Hnwafm/Y+++VH+eQ60B+/dbcH9Tp+/yBgG79GP gYbgNXM/SAfP2XfAu4ptQfC9/rsDgp/Nc+sgv674FQXXgzrUQn7NvGYqgttG u14Fc4LXwwKM55vfJbMgv2ne6xPB9aNuZcH9RV99r5xgPnwJvjC/22nry7L3 M/C5eX//EFxn3nM/Areb3wHPgKfNe0YP9n/b/A5ZCPkN83q+SM+U3weXmf+u acbcW+b3E+P8k2L9HrjU/B5eEjwPOL8TXGjeBz4GF5vXxSU6m+fy98g95vfu Usi9weuT+VijnKxmrILv87ByjvlGXRqD69ONcT44B3IkeL2x1h41z+lGxXme Yj03uE7UJxfyNeZ3BeupMHhN/Qn+Mr/P/gF/m/9mz8b7rOC/5SdivMr8vuLF HoLf0/xPcLP5fXOHeT2wFm41r0PW4IPmdcga/AP8bv4f4i7z2mPdMb+mBc8x 2neFuY0vKIeYP3GMt5nfK/TTTvmc+VWiNczHTPCcZK7VB8+3fwFjh/O8 "]], Polygon[CompressedData[" 1:eJwt1HdsT1EUwPF7a+/YjVqttlpqFL/uamuUtpQ01I5RIwg/s2ZE4h/jD6OI PWLvvfdIBAmRSGyJ+QchEXv7Huf88cm597373rvv3HNv+LBgwfgQ59wglMZC OO/cQEISLmE18pCMr1iARPTFLTRg/BhibXmU9l9ipNN31KC/jdgM7fET3xGB fmjB/ZPEiQhijcyDa4OJQ7DK5iDfno0/+Iw+GICtqM74NPtGKO098l5k2Fx/ 2LdkzudxEQnIx1Jk88xcYiOswDJ0QS6u4gm6YSpu4Cm6YyZe4hli0QPRvCsK YbTHYTmWoBNycBTNud+RGI/LKOP1XyejFu2dMgbpOIjGXMsitsIVlKc/nDgF r3AfXdETIdxbZPmSNT2MGK51ILbGLtTxuhZxqE/7AHEsRuOe5SjfcnAdNRkz ijgd11CN/khiMd7hveVa5vzLakhqpz+aMDbSay5CsQEvLFeS0y14gwKn75Ta KeV17lJDKV7nIN+ehrdI5doMYi80pH2HOMv+Qd6V7HWsvPOBzbnYcvQFnxBu NRTG2H3Elk5zvBf1uJZp1z7gIwrRG2lea0DWXuZwBm25lk1s5zT3WV5rVdYg j3aO12fnSx3QPk5sgzmoS3+3rYV8U2rxHDHgtCbTveYw1P4xk3aG11qVPVOC XK/vljmW9VojUhtD8dhqTGpL9vAFrMQkp3uggtcal9oegVNSJ1zrLP+FdShH v8hpzd3FCUxwWtMbUZH7TYlRkmOvZ4KcBfPwHK+d1qbs0QTuB7yOTcF2W1NZ S6mxcO4dclrrUrM7cNPpXpA9J2fHb6utCFvLb07PIlnTWJ4/4rTWZY/F0T/m dK/JP8XTP23/9n/N6J+1tSu03JRYW3K0GZUZk0qMwX6ne0b2ipx5m1DJ679E O127R07PjoDlbr3ltshyJ2de0HIotfDQ6dkgNZHEvUSv75JvVqVdxeu35YyR s3Gtra2ckYutpqSW5My5bWsguZcz8B88Zp0M "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXXcllUShnnPoyiYiL3q6ura3d0tigGKiISJiAU2AoKiiIRiYSEWGGBi IAqiYq3d3cGK3bXuzrVzPb+XP+ab0+eeOXPm3M/7rXDIcfseW1q0aPFk/KlC bxj62pDrGy1azAy9UchdUWbQnqH3CTk+ynuF3jfkrijfGdIh5OiQXiHto/2W 0DeHtAu5KWRCyO4ht4VMCtk75I6Q20P2DRkZc84MGRQyOep3h+wfcn/IfSGd Qx4ImRLSJeTBkKkhXUOmhTwU0j3ksJBDYo3jwNnI8qEhJ6gPC+mjPjykr/qI kBPVR4ZMjHVuxc6Qe0PuCekUcpL9PUNOCTkqpFfIGfjIfU8LOTqkd8jp6mNC BrsHa6xbcnw/be5rX/85sA8Udx9908dxZ7nGySFnq8FyvvMHhJwTcqpYzlWf blsv8Q1xHm3rlcQyNOQ8cWHTcNcDywg1WIbZ39/9e+qLx0PuCbk3ZJS2YfeF 4gbvaDX7X6QG78Vq8F7lfsTF+iVxXRoyRnzsf9kceK/QfvBeqWb+Be7P3le7 HrjGiQks16rBcp0aLNd5F7gT40ruf0PIjWJh//FqcE1QXx5ykxpcN6uvtG2Y WG+xDVtvVYNxonpsI+8fd5E7eFvINWK/XQ32O9Rgv7uR48F5n5jAMnkO7Peo x3tO4x13v2Nv9syJQeJvim3gvd588EjIg2KdFPKQ+jb1WLFO1TbGTbMf7NPV YH9U+8D+mBq8N8ZeN4Rswt13f9aaaT92PKEN2LpmjPtbyDIhT4ubef9Sg+Vl sbPnbyGzQv4d8pT2M+dZbcOmZ5xH/aWQGc5/zn5sesX1wP6a+LgH7zqf9d4Q 65Mhb6rZ81XnMed15zHuLfux4201drzneuz/vvr5kHfsZ78jS+J80b5p+nvT aH8h9AchHzayzJhP9At2fKoG11euix2faxsYP7P/Nf33uvZ9oW1gn60G+5dq 1vra9d7TB/fp929sw6Zf3IM9vxfrRyEfewYvW3/R+ndz2LRZyfK3IT/MMe9X 1wPvT9qMrT/aT/1n29ib2CV3kCN+b2SMYB+xNV/I/CF/6SNs+q8aO1qW3IP1 /nAe/viPvmBOoyRGsG9uuUXouUtiYn4p2Y8P5im5Hr5pVdIe4neLkvMWFtfv 7gk+9J8h85acx5zWJecxboGS/eBasKTGpjauCcZF1GBZSJuxda6S/gVrVRIj 9baOpW1RNWOXKOkX7FhSDa4txb58yNIlbQPjUva38k631r5l9T3Yl1OD/e9q MK7gmm20b7Z+/4dt2LS6e7DnP8W6WMjinkFL63NZX6mkbYxb0TWorzzHvDVc D7yrajO2rmI/9dVsY++1zFXYRL4cZcyto23YBJ+CZ8G34GB7h27XSA4GF4OT 1TmOHHFISZ7Vo5E8C24Fv4F/wcXgQ/AyeA18CI4DF4MPwcXgcXAg3nK4AW87 /A4uBu85vCTHgrvAy+Bi8Al4GVwMXsEevB3wmJp7UWc+vAWeA5+C07FPzcPg NzUPo97T/ZnDHqeKqeYQF9oGZ4BD1HwLrgM++Ek/cfS3Do4B1sE10HrNsQa6 9yDrYBlsHRxnWa+5F3V4KNyT/Y92/zm51znigKcMFccw6+A43zo4hluv+dZw cYy0Psg4GSmOC6yfpT8u0EdDxDfFuOAtgVPDYfFrzYNPcF24R82b0DWfQtec BT3GPciPY8VxtfPPsx8+xHvPmzm10eQ0tzpnkvWhjr1U7ONct+Zh19oHV7mh 0eRVExpN7nVjo8m9xosdngBfqbndOH00dg6stzqO/WrOAqfgHeY9ho/wpvPW w0HgPTPEwbi7G03uBY/ZuCRXu7PR5FiTG02OdY+YOA/euw1K8tpLxH6f426y n/r17nNXo8mVR4v7AdequdeD7vG4NtRc6tFGk29NazS5IzbXnPsi9+M9fsK+ aa4Llqfsu9f+x/XfVHHwNvL+8/bXeb+tb0gbczFrwVWede3nrfcsyVdecG3W gU/ga972F7UBTlJzt5ftw044yKtiet06b2nD/Wu+xbo1l4KXkC/fsQ5netc6 +N6zXnMs6uCDX3wgpo+sg+Nj6+D6xHrNpT7xHF5tNHnVZ/aB9XPrYJ9lHRxw hC/F/oU+rnnVF40mr5ot1q+dAw7e4e/F/Y194P5O33xo/3di/dE5T7nHm+L+ yT72gRv8KT54xC/i/c36G2KcpT30/2zb744D9x/WwfqX69b86S/t+dNxn7oG OKZ6Tpzbg57TM+KeS54B1rl9s5nT0rebNebxTa+5DrwBjPPKRcDXujS5VSv5 R82l5pNLLCD/wH/sCdcB90Lyj5oztbGvrfW55AmLimlx6y3lBYuXJjdawr2X st5KXkG9tfxiaTEtYx2fzmf//HKKZUqTJy1bmjxpOXHAe1YSK9xoBbGuaL2t /SuKdWXngAP+tJq4V7EP3KtaX9L+VcW6hnOIuaKfwL2mfY+aD8n34IMDrR2y TcnfSng/Fxbj8tpDPxxqsOP4DWNbNW/L2o5jve1KfseTU3d13Pr6aC1x7OY4 8jjf/eMc/0joGSFn2/6YffW3PTl7nDaAf2DoHiHdovxw6OklORPfJjuUvItX lxzHmP1K/hYGV+tY8jc1eNjnIe2rtH+30B+G7l+S38HzOmBLtH8Q5TNoj/JH oQeU5Gys0znG7BHtH7tfxyjvH3JWlA91HbjiESW5HbyJ39wOCjm4kfsdbPkB y12j3K0k36PMb3HdtIX+Lo6Hs1GGE+GP7o6B88H9eumfw8VAjuUtIL+CA5/B 3cbre/qm6dvujeRbrMlva1uXtIF5A8QDtg5h635Vxkjn0F+W/D0BDsxvlPvH mI2q/P0TPt0lyi9G+eEobxjljUNOIEZCvxq6NzES5TdDnxSyfZTfCn0yZxvl t0Of4vnBpw9sJNeGZ8O59rZ8QCP773DMFjH3qZJcf5sovx7lvo6d6PjNo33L kD7MCX1QyBD34rzh1/A7uDU+hrPD+eB7X7BGlXfgnNDnhlxTcsydxsnq0XZw lW9yJ+ceRA4P3cq5u4R+P3S/kJ2j/F7o00PWifJ6IceVPFswdIm5B5T8PbfG Mtk1d4yx70T51JCdovxu6NNC1o3yZlV+5xA3xBjnfFRJXC8YDz09I85gT+K6 kee5p2favqTfKR/qGRwmnv21lzxB3iC3jC15J+q8gCaHcPe2Nq7IC+QHcsJO Jb/b4Rjcs46uuWPJe847u3PJ73Py1lYlv3WXd31yBdyP35YP1FenuQ7xgE8P cM19SsYNMUBs7WMZ35E7OjXyG4r8cYT5ZF/b65ijnxhtr08mWmadO1yHfSe7 L2fUT2yUjzSeiKWexhkxxn4djL2OxiLrHGgMMZffnbb37PDHTvqN/wvs4dld ZBxh77nGPvmN798+3gu+ebmL+9jO/xv2i/IlxiN7XVYyF+LPC40p8Iwy1vAJ WI4ST3vX4vuafXq55vkl/YWvyJEnimdEyTPAb+eVjD/wg+UY5/YWG2vzfc53 O9/snP/OxgN27+6afAvsalxMt51vaIRvduKXuG7nXn2d38E4n2is8w3CG0ac XlkyD5ID8dnxpfk7AmVwEb87Gqtg5O5y7/DfQfoQ3dky/cfq/9uMw07G16TS jMHbjUPers9K3qF2Ud4z5MySObh1lXn40pJnxvq7lDx77No7+ltWefd4f8lz jH8u5KWSd+eF0C+X/OYiZ79SMifwvXaj7fhpqH7jDRnvmMdLjmPMmNCXl3yz ZtjO90e32H++KuOFNc5zneHRNo/Y8PVM12Ee6/Kt+FrI2lXGBD4c4/rDSsYW cXW9c/m+m+ncOz3rYY4ZzFsdclXJ9+9ssQ2xjC3scY6xNyLGzi9m4uVm44c3 dlDJd5bcRq4j/w0vGdPE8yExb4EqOcrioZ92zV5R/rlk/B4W5e9Lxg5c6DrP oke0f1sy9w2N8rMl4/oKY5E4JMbJs+zP+4xN8IHHXIt1joy5P5bME7zJ61cZ b4uGnuWav4UcU6XNvJmbVBnbrENerXkbmu914uIrfcWeV7vvYjFvdsl7c3iU F6zyPrQN3abKeDxYG7oaMzM9X+KK/MVd7RljF6oyrx0deuEq7zn+n2DM9DT2 OMNh0f+8+3aN8tclcyTvM28t7yz3mPd5O/dgHfLBDOOG7+AJYujou3ZxyRyI vsQyeZg71sWYecS4+X8cGUs3WOZ+ESdwMrgXdhylLb+G9K7yHYN/cY+7e18e ce4vJWNlS88XXsj7DUfj/7PwNPx0hL76wXgiln4qefZbOHaa639XMraIq2/0 F77irA71vHrU40vyjnu1l5xEnurkG0qZXAUfPFtOOC/xVSUPONC5vFs7eCZw dfIfv3XWfJYyd3m2Z8k5kidGeO+IU+4AsUoOG26u4G51937h3+me6e6We5hv 4d/1nve7F36cYhyeEWv0r/JcLyj5zvHGHQv/qjJXEb+LGMObVslleQcGhB5Y ZT46M/SgKuP79ND9qoydU0OfFjK6pPA2d/Z9H215gyo5H2/CiaFPChkZ5ePZ p8r8dXLoU6rE2Cd03yrzzRsh21b5pm5dJa/l7f00ZK8q8xT3ju+NLsYQv7H2 NjfC89p53rRzl6c4vqtnRB3+ONU47ObbNMl4mG6c43NyBrmD/EPO26rKvEfM jHQ87yu5lJxM2yjbeX+xify5Ssxbucrvqv08G86Ft6W/5/g/FElTSA== "]], Polygon[CompressedData[" 1:eJwtlVWrlWEQhff+RjHwyu7uwu7ujmMXx8DDEbu7u7sLBH+A/8A7L0wUuxsE u7B9Fuu7eJiZd+/9xcyatatNnp0zK8lkMnlQAKpFJrMKjnA4DuqSvySuhanw GKpyNoa4HB5CZeoRxKXwACpRDyMugdtQjro/cT6MJn9DbAFdYSj1a2IT6AwT qd8T20B3eJL4mfQsK+A51KSeRFwN96Ei9VDiYrgHFagHExfBXShPPZC4EIqS b4ez5K2hCPlWOJM+01UoS92X2ApuQkPq6cQZUJu8Fkwmn6Iz8u/EDtBRZ9Qf iW2hB+RRfya2g54wjforsT30gqdQnbMJxJXwDGpQ5xJXwSOoQj2KuAw2kBcO 92od1AvPSLPJgxzy4eHPmkID8vqQr3vDL/U93Iut8Bu6hXu1Hf6o7+Fe7oQL 0Cj87oOzmcxPzSk8y81wEUpQ9yYO5/O3xDHUG4nnqWeH76l7bYG/6ktYG7sl PPJe4XfbDwWllfBsT0IB8n7hXhyHS1An3PtJXD8h7xPWxmEIzS7cy6NwGcro O8TmkNWzhrV7EK5DyfBnB7neDWKp8OzPUf/T3MLa3ptqbwCsSazB+eGeqVc7 YG64p+rlNmmCuhPMIx+WtXbukC9IrKEu4R6qdzrrQN0ecrL+TWvyNjA38dk7 Yi51t3RHCoU1oNl3gvXhHqp3J+CD7hPeJWmyWFgT0oKuMYF8fHhW+anWbxFn Jtb8QOoXxIlZv/MrGBK+l3Z2UHgmmoU8Yhz12PBuSQMjw5qUFtfrTF4Rzk9J o+RNYIi0Qt2KvKX2Oet3bqbZhD/TmWapa+i3fdJdWRd+19x0l9bAscQ7tTas IWlHZ/KCOeHZyBPkTbPC2pRHFQ9rXNqWpheHNaDZ70nsdUtgX5J6XljD0q7O 5EULYFdiT1oY1ry0rjN546LwteSRXyA/7A3yBHnXvLCW5GHfNIewV8hjGpP/ IG5KZySv2gSnE3vW5rDHylt1tjq8E9oFebq871qqbXmgvO9Kqn154MrwTmmX DiX2nmVwILEHLQ/vkHZHZ/ovWBH+rv4TZpKXDmtdz/gJpoa9UB74H/srs5k= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHn4jmUW/vjOsYQKZUtikmqiIqRFxWghKpEiqtFoiBDNVFOz1zUz18xk zU6JyBpCMdI2xvoru0imTKmoaSxNpW3uu/v+XeOP+zrnfd7zPu/znuc+93m+ r0HvQTcOLFsoFF4oUygUYdtloXAF0DAKhX7A3cCnuFEVdhTsVOBdYBgwGaiC 8RGwTwCV4A+HnQJ8B+wD3gOqY3w07FNATfhjYKcDteGPhX0aOAX+ONgZwKnw x8POBE6DPwH2GeB0+JNgZwMnwB8J+yRwHPyDsP8C3gfmAPOAV4AVwIvAF8B+ YCFwFPgM+AD40LELfI/+fKAR5jwDeNbXnHMucDLGHoedBnwMHAAWAS8Df/P7 7kXMYCCA/kAToELo3vPAC14T7TKgKe6dDyyHPxR2CFAOKAOUBR7DeAvY5sBK +Kv8Pn7fRRhrBbwKfw3wGvB3YK0tY1vj/qXAP+BvAFY7tsSWsTuBrcA2oBNi OwLb4W/yM4y9EmPtgNcd+waw0c9sdGx73L8G2Az/TWCLY9tg7ApgHfzPgY+c 893ADseSG8wr8zsQft/QffJqsjlHvpFfw80B8m6E+UkujDTfyNNRzsFLztcA jPcJfSu5Rw6OMffIwbHmHjk4ztwjB8nFBiEOTjAPZ8FONB/I69HOwXrni3x8 z7yZYw7N8/6vMFfuCa3pE99b6JyQN4x7rigOLvTzpbwpff5lfxv3f5X5QB69 aF6t8BjjyJ1X/PxLzstrvrfK14PNO75niDm7zHFrzJtSbq3x/m/1HnNvS465 V+I8rHdeGEvubPK9Ut7wee7zHti3iuLONnNph/nBcfJ3rde6+pi5t5g7OzzX Tl939D5zrj7mEccHhbj1b/h3wN5ufaMWUBNY70eK0hHuSVnXITXvP0VZcvFL X+8FDhWlPdznuzz3bl+TA3Nt99n/qijtoG4UQ3Pt8x5/4DX8tyhtKtWl/fb5 zAGPHXb8XD+/1/6d5tRO35/v8Y887wJ/3yGvca/nYsw3RenjYb//iPPA7zvo +H7O2R6v63PPydwwV8O8xi+OWedRr6Vz6PsXeb5vnZvGGC8AS/0tX3pdG8wF 8uUG6yHfk9ZX1gh53dwaeFboHsdZQ2E+lze3Fxelz2mf98qZ58eH9IWaQh3m M0uK0vCKXht1p5K/sXLIn+KxytYpzlXBek5tquK+SHu846k1td0LqVcnWbNO DOkatYz2RK+HWlbVPa9ayJ/qsWqOH+25GPtDr5nrH+m5uBZqKzWLsTVC/jSP 1bCWcU013edqhfzpHqvleK63uuMrWiv4rjqh76Kenu0cMs91Qzo7w5ygrpED 1FZqLvW2Xsif6bF6jqfmUovHuzb4LDldPzROXb4ZtplzTq3+Qfz/zNDQej3J 19RtjtGf7bnr+71cY12vf6V5Rc0kqK0c49ngTK+/S+g7FzsP55gnzEcTr4dj jT0+zu/g/t8U2qcl/qZGnvNcP8t42vM8D88JF3gNy72eZbZNPd7M/nLzq473 rlto3qXOD3PAnFAjqI/Uxq6hNXE9t8C29JwXh84ZrC+eQy60Ty1m7+G54lX7 rEWeAa4NnR+6h57nfcZRx/ncWvvrbFvbv8w+Y3uErulz7HLHtPJ6OM5r9h7O V2L/dds29ml/ZP9W2Laeh9fsSSW2PN9stt60s3+VxxnLd17i9/YM3eN4L9gO jm/r93J+XrOfcb5t9rfbtrffwT5j+Z6r7fMeexifo57T3+WxTvavs8/Y20LX 9Dl2vWPI087mFTXvRnOVtot95qanv4Xv7+U1UI+7mTPk4M3mFTl4i7lBLnT3 /jI3PZwf7tWtzgM1oKt5xXpq4Xhy5DavmRxk72TfZE9mb34Hfm/77De0P/Y4 88C8kL8/sb/LueI1+19Lv4vr/NTzsmf91O96uyjL69KezbMIzxvscfT/WdRv Gfbpfb7fz/Pw2T6e526PM57awxqb5frt7xwOwe+qoancd4C9JlXz3wB/CfXY 6zF2Q0oz7oP9WSp3l8Nekpr7YtiWKc2qABup3tMCtmlKN8vAPhbq81XgV0z1 nkdZCyndOwL/+dC5h3o1xHtEO9Q+e+Ng86ScY5aZS+yj4fv3OmY+7KAU/+YC A1L7XBrHfnslxoaHzhc14VdP9bDzYRun9Pcc2DNT+jUi9AzjJ5OHqfNTN9iv QmeNNvAfcc47wn88dBa4Dv7YkM4Ohv9c6BzRCf6YkHZ3gT8hpI/d4T8R0tG+ 8GeF6rw//Dmheh0If57rrS78Wql+2AD21FQfbcS9SvXLasx9qpfz7DnIPFkM uy10jrwd96eFtLIP/JkhLekN/+mQDvaEPzXE64nWcfbGJbCF1HluNnmYqmNy c4D5uQB2s3l+P7kWOqtchdiloXPeQtgtrrVnYTe5jvjcOj/LsTUe3wr7buj3 6S7ubeh8WTa1Jq7nDX5f6OzJ/bkstUe/h39Rqkc/CL986lz0C/iVU2ee38Fv nurLD8GvmjrnPAy/Rur882v4Z6R63C/hn5I6k/wW/nmp88Ov4NdPnVt+Qy6k +vub5G3qTPEW/NGhs+ke2D95j56C7ZXSuenAHSmdmwHcmdK5J4EeKV0s79ph rfT1fnMe5ot7Qb16B3YR8LXH7vEePQN7V0qPJwJdU7pLjk8yz4/Cjg+du9fD PpTSxN3AH0Ia+DbsHz3n2tD3cA3cP66HOtcZz60Ind1Xh55h/EjYa1N94yDw cagPTAnVHuvuJtxfGTrfP5B6N9/7Z3IndG7fzz0PaWeTVN6Z82EhbaIu/TWk fdS972C/Df2XQz0rZ02jHpxrTaBGfu34S1McIn+apfabe01dbGVtvDDFIfKH 670/teafp/LIHDIHG50HaucF1k/WRDFVF5mqGdbLcSm+kqv3hWqA/KeGnWwd Yw5KnIcDrBvncDvHQr9tDsEeDv2e+V4brA+fAKNcL9TRB62l1O9K1vATUnXC GvkspOPf/58F+2HoN9X7sA+Efs/tYF2GfoNR73c6nv2ktXsKNayOdexh2A2h 3ls7VW+sNerx2dbkk1I1yXrkuZc9jj3k9FS9sdbqpWqS9UgtbGg9ZM21d91R L0+zZlI/rk5pyFmp2mZd8//Itqkz+/8ALEPHRg== "]], Polygon[CompressedData[" 1:eJwtlXmw1lMYx9+5v/MoCTEUMSld7QqVhGoU5dKt60o3btdyRVxu11DJnn+s I/uSrdKeJSb/YIy1pGwzxj6mhWjTKhWJz3e+54/P+3y/5/x+73vOc57nvB3q m6onlJVKpamQ4D0+Lo5S6RRiDbRFHw2zilLpCHxrdBs4PHnsA+Jl+NP1HtwL d+DHEX9k/gviOvgXvRPeR49l/lTiGOiFPgmORc9j/gfi97AYvQuWoScwP4J4 KTwNe+FA6AblzHWE2Tx7FL49ugO0Th47Ad0pPDcH31t7C/9WO8Y+hmvwQ7Uu +Aiuwg8m1sIxWlt47y/xznHodmGt31gK1+HPI9bBh1CPH0i8BN6Cn+Afnr+A +BfsSt7b3/A2upLnuxIvhP0wCbYz14L4NdzOfD1xK2P9lWtoj1+AH4A+M6yP Z2wKfJf83cr5s+hq5k8k9oS18CZsY24vPIC+gfkq4hr8kdorzCx8xvfDXfgG 4irG+qD7hnM3Hz+Z+G3ydxXE++BO5scTf2ZsIXE8/pzkHJ+G7hd+V3tYBath H341vIMeET7bi+BlaMBXJOd4PozDn5V8RrNVF/j+yTU4F67AD0g+g67oLuGz b4t/V3kO52I0fJ5co6rNtdCNue7hZ+fieyp3Ya0anaG6xZ+c3COvQiO+MrlG H1fd65x5fgM8hd4DzZLP+PpwTauWz4cnYTcEdIHLwzWk2jkj7/2V/GxFzuUi 4rDknCrXrxO3FM65zuqNXCsNORfziIOSczIV/0k+m0b9Trgn1Yu9895mZq09 1oV7XL3dL6/1Rsaq85p1FguIQ5LPRGcxJ69dZ1KrXsnv9tU+wj2hXugMd+M/ zbXVRHxe587YHvwmqFBvqYeT74Qq9DPoHtA9+S4YGda6E64O9/TYvKZb8FPC d9FI/LXhnq3LOZyutTC2m/mNcCt6pfKms8i98xyxV3IPXRm+I2pzTh9RXTP2 J++uhyHos6Gc8UX4m8I9rt5WznQ3Lib+UfiOVO28lrw21dBtkXui8BrOxT+W c6UcHKa7F1ol9+ikcM+oV0bB5lzjqm1d6LpLfof9he+UDck9q179D9+M95tD S/yL+Jbog+EQ1Tq+FfrQyJqx9fAb/Fr4Ow9irkX4Xb3zi+aS75cXoMTcQxpH 74Bh+EeTc6Ue2YbenteqftlJnAjT0GWqa+Uqz+mZgvcfJq4rnPNvku8w3V36 zeW5xhtzjqcRy8K/rXeW4Hckf3dVXuuDyb2v97W3jTk32uM+6eS7WHv4LLlG VBu6k1fkGm7KPahenxg+C/X8YN1VsLBwTdSgR4drezM8obwna/1HfIX+Mu9X NXkAz0Y4lzqjUeH/6JpckzfjJ4drVz1zD2PDw3fJEvxA9KDwf4PWoN7ZlPOt HpqVe1S9qf/k/wG75ARD "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGnYTlUUfcXdh+ZCiVRKoYgoFJUkU/Pcr+Z50DwPj0KDoSgyiwqRT5FE CJnnMSUZSiEzGTKk1mqt73m/H+vZ+5x7zrn7nLX2Pu99K939+A2tDsvlcq2L 5XLFYU9Pudx7kcvtz3K57rC3ol0MdhzabwBtgJJo/w47HigL/zjgD/gnw66D nQBUh78VdhpwLvxtsNOB0+H/CTsJqAx/I+xk4BT462G/A6rC3ww7BTgb/hbY qcBp8DfATgTOgr8J9nugFvztsDOA3kAn4F3gfPTPhp0FzAHeBD4Autp/C+hm +zbwoe07QD+gM9AFqI11dsDOBHoCHYCOQC9bvq+757UH+vj97wF9bblWDz/n /IZYswEwEv5Hfs/7wIAiMX5syxg/sWWMn9rynQNtufYgW8a4B1jgNQa7j/EO 8Rkxxs8dH/f6mZ/z2TD3Ma7dwHzHtQuYB/QH5jpO+nuBhY6xPvZUD/gik4aW OK4DwFLHchD4we/8B1jmuA4BPwJDgb+BRd7rPmCx91oaa6+ALQBWAsOBEcC/ wE/e02rgS2AU8LV9jvkZWO79jS3yvLO5JQeNsP6lwOhM+qbeqXvqm7pul0nj 1Ck1RM1Sj9QQtUldU0PbvSbXpnZmeX1qdoo1QI1T19QQc4J5QA0xb5gr1BDz hrqmhpgr1Ds1xJxgbnVyHF3NRxfz1i/La7qb1+3uNuf3cJtx9HS7UNM9s7zm Ps7yedI1y2u6j/fWz23G0dvzGQf10j/L63iA99PH4wp1/EmW1/GnWV7HA70W NTLY7xlmfnu6b5Dfzb6hXneI5/RxH9u/ZNIMtcKcI+fUw6pMGqI+6qK/TEhf 1O8Ij+czjqdW1mTS1lfGGOAbPxvrNrUz1nPWZtIQ9XN8yG8LlAtpqbAGTTRX xCRz9VummtvG7clZvnZMyfJ1Z5rPle2pWb72TTdXnPO957E9w7wN9Rnx/FjL S4ViG+O9cU/UEnXLunQBnu/MlPc875+8BvvmmHPyvMBc/+Wx/d2eb598L/RY crOsCMdLi3C/2Hpge0kRfSzyGpzzg+fx/Db4/BjTj16bObreZxwhHZDTI0N3 WqEmaFmvUkgT5Pwo+IeF9EHdLfe+j0Zf8ZAOyOE68zje59jWvP1q3o8J3Zdr fa6rfbYlfGe28/v4nhHm/09zzjM+5D2R883mmRxuN4/kdpP5JefbzDO1sKWI RrZaF6xJO8wtedhjLuaaS/J4BWI73HzPM5f9ze3uInzucj+1ydrU3vzsNUfk bZ+5I88HzRt53m9uyeEB88gz/tfnTA7/MY/Uwt/mP0NcuVD9Jw/kjOdHPrPI 3wvkbrjPu7jHrPC4Aj8PjyE3JZ2f3DP3Tk1T+/z9QP2vMfdc7xdraIV5Z24z TzmHuU09MJ+OdU41gT3Ja66ytlY6ntK+K/n+E/27qpzHUxsnuCYVeGwZj5/g ce2spbLWE7mtE4qd/J8T4p95cGooVziugmsQtXZGiEO+s5zjZD5VCumR2qkR 0hf1XjGUW+T8zJAGqbuaIW1ynfKOjdqsEnn9Vgtpk/o9L6THpqF9Fni/dSN/ LvXMEetpA9/LtA3tXxj6zcGxzULtwnn1/ftqpOcwvy72XPaxTrNef5tJU0c4 BvY1cn/z0ByOH+1njIVrXOIY+J6LPOYyz2V/i1CbPtdu6vWpryY+Z85r7rkj HDd98tzMe2HtvcL52Bj2csfG97fw+nxnY/dPg30glLvTYR8M5esM2IdCeXwP 7JCQTmcBj4Ryl9olt6yZM9H3cKhO9IK9LSlvngGqJf2eqgq7KJS7HXlWSfl/ SdK6XLMT7KVJOTwW/tXOl4mwz5v76nj+kvkbSa5C+XZRUtyMuX7SfriX9hyb VI8aJsX6/70COyCUEzXR/6r5q5t0LjyTbrDXJ3E+hmcWyuEm6Jsbqk+N4c8J 1bBG8GeH6tC75DSprnUmL0n1i99MlyfVNcZ+bVL8XbnfpLr2IvybkupHX/jX JNWmG2BvBFoyPuDxUF1k37Oh/rbALUm/C16Bf3NSLWmaNIfjO8A2SKrpb8M/ Kal2L4D/ZKimzod9IlSPJzFHQzWHcd0Riu1l2BpJ2iTnvUO8vw7USdLZc8xL 5wz5f9oauAp2cqiWvQbUStLpQuCp0J3Gb8oeoVrMM+gXOocXgAkh7b8D1Eu6 Y96EPypUT3kGbULn8E2Ib3JNfh41R9TXIGvsOowfGLonasNvHcrJz4HrQjWK Z3ln6DyHMqZQ3V4Me1foPl8Ce2XoXh9sPhjDvbCjQ9/A5bHO/dbYeGuLujo/ Kd+Ya12AZkl3IfX1mDX2AddPuu+PgD086bv2KOooqVaeCft+6F48Hn7ppFpf JUln1FiFJO7J+1lJ63LNY+Efk/QtuwvYHarLy6iL0H2wgvyH6vtychX6pt8J 7Ah9c1+VxCV5PDmJJ3LEfLo9lFP3ASck/aYoC1sm6Vu8UlL+MHdOTaoXrBXF 4ZdIumOKMS+T/j84Lal2sG4c4v5C99lB4EDov4G9wJ7QfwZnJOUk87Ec/BOT amflpHPnmVM7S81dSfSXSrq3TknKH+bOPtj9obsq0J8l/YexClgZ+q+CdaJV qFZshN0UukenAFND998a6iV07w4DCkK1fwuwOfT/xzZge+gevTukOeptA+z6 0P8laxlv6P+PB6wzauwP+OtC9zQ1O866bZ6U58xxavNr67NlUi1gHaiYVENZ P6mpFkm6+g9BCajX "]], Polygon[CompressedData[" 1:eJwtlfnzyEUYxz/x3V1yH98kxFcIOXKVI8r1/VIMUek+TDWddEwqV4fUXxCd 1FR0oIYao0JC13S7pSJHkVDuu9d73vvDa57n2d3P7rP7HJ+y0WNHjKlUFMVU KIGTsSjOSEXRDrkyFMVO5D/QApZhv4N8FmpDVajE2ggd0L9gfg/yP2gFn2PX Yu5G9H/ROyP3w2FoDcsZ+xD5LjwTvOfHsAimYNdF3gLvQ3XYxNgw9nsVvTLU hCVwO9SBUhgOC6EEpgZ/O113ynv8CVfBTuaaI1+EpXAWlMMROAFtYQVrEudV gwuxv8Tehvwr+tvPsF9AvgEhn/EJfBrtu+50CDkKdgffuS17PYasDxfB6/kO pdnnX2GE/GT9ucjjcK1iEOzTbrgadgXH5AmYn99iM2MvI9+EqNjAHzBSPjPX DDkTOuJDb+Qg+ABeymtrwCyYre+CY7AA/W2oArVgGoyDalDA77A1eu+lrF+D 3ACNYTH2rfkM7f0b9kbJ6Lstwf4IOQy2B8dwPVwJO4L3eAXa4W8PZIXyCK6B v4Nz7EzmbkDuC45RN+w5GoeB8hH7OuSe4JwO2Ncj9wbn7GvQmbG+yMH5rkOg Qb7zahituAa/yZZ8Z921qfyIrhHVxnk5dpuj5xTDfdE1oVpomWO3N1pXDHXX X6BJvrNyc1f0XspRxW47lOUY7ojOQeWexu7Wt/h/EPsHaJ8cY8W2J8yA4Yyl 6Jq5WT5iX57jtzi/cUXOyXnRNVGeY3wbrIItwW+wTGfLh+A3ukexZL9D2D8q Bslvqrfso3vDcjgHGsK66BxRbjSKro2j0Ca6RhTbA3B+jvGx6JpULWrN6ege pd50AbIkuQep97SPrpVT0XOqGcW+cvKccqBqck2rljsyVg+9DnyN3QX7TmiE vR/7O9gUnbPK1SY5V9dG+66cPRjd09TL5LNysQbfd8o5WRO9OnwVPLYC3ovu TXoT9ca6yWerRyo3qyT7phx9NLpnqFeoRz0ErbBPMbceHtZbYZ9G3wBXKLaw LnjNYPRBsBb9JAxFH5L8rb65WHsn3/UA1Ee/iT2/Qe+KfC7HULEbIB+YPxu6 oX/LmieRnbAvi66hSdAB+5LoHvMWTIyufeWg3qJ28r9Ab6K3L00+SzEYr9hh d4+uefWyx6N7v3qaeu3zOXfVc3toLXwfXANt0Fsnv8VGeCS6Z2m9cr4Xcz2T a0U521u+JufuYahAL4c16CeCfZmQa0k+jVVtMnY8eM0D2C2S1+qNx2A3xz6G vhruxW6avPdPwW8zOdeG3uhBaJkcG8XsPuxm2EfQf4aG6Hfkt1ZOdsF+Grs/ 9FMeQdfkf7FqciD6gOSz5WN/9H6wKtinvopV8t5H4VL0Psm+6cz72acseU7f KLZP5bMU4wbJPVa9VTkwN+eIckM99y5onJxLisn/0P4MJw== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{35, 1, 5, 9, 39, 140, 266, 159, 231, 309, 310, 197, 267, 160, 232, 311, 312, 198, 268, 161, 233, 269, 270, 162, 225, 228, 227, 158, 221, 196, 265, 157, 263, 156, 264, 195, 262, 155, 260, 154, 261, 194, 220, 153, 193, 152, 322, 321, 139, 258, 259, 255, 257, 256, 138, 252, 253, 249, 251, 250, 137, 247, 248, 244, 246, 245, 254, 91, 35}], Line[CompressedData[" 1:eJwt0jdSlmEYhtGfFUiQjJJzEIUGSc6QpXMJLEB2QUdWWQCoZMlJUgdKkiCI zADDjBZIZgOcwuKa87z3136JDY1v3gYFAoEm/dWZVhVi7GEwPzKU64xgH8PZ z0huMIaDjOYQY/mDCRxhPEeZyB1mcIzpHGcmd5nNCWZxkjn8yXzO8hnn+Jz7 LOBXvuA8C3nPW92pS3W2er1Wp/cHLWlZizpQjW8dfK8jLaja1s5TlbtfKU8z 3rmc5p6q3G18p9+aUqWtlScqc6cqTUlKUbJKte37U35hHIf5hJus5RZvdK0B RdlaeKVLXahXj+3NrOAaP+tY31ViK9Y/9yeFub/xJYt07u7WI/cKD/VLf/7/ Ew9hkEeG "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{333, 332, 336, 825, 816, 817, 815, 819, 818, 712, 821, 822, 820, 824, 823, 713, 827, 828, 826, 830, 829, 714, 790, 877, 761, 814, 726, 812, 725, 813, 711, 335, 334, 333}], Line[CompressedData[" 1:eJwl0+lSjXEAx/HnlKxxrKNsdSqlslyBsSV7qdBiD9mL7GVJlqzvXIErcAON CyglzFhCkV2JrGPL54wXn/n+f//zvDrnOZHyqsLKUBAEzTTGBMEm44WuiA2C 5aTRZS/TOM5QTyrP3S/VAZymjhSeuV+isZziJBE63S/WGE5wnGQ63C/SELXU kMRT97kacIyjTOGJ+4Xar0f0MJN5bOfoXz2kB5lEu71A/+gBrWYij+z5+lv3 6z4m8NCep7+0SitJ5L49R3/qaB3FGJrsufpAp2o6GTTbefpSp2kmg7jCQFby ymf5+loLdDBnKWIVhaxhNecYzy3PXtA3OlbvaAsXnYfw1rlY32mJNnCeBFrd XdL3Ok7v6m0uOw+l27lM11JKj32PNtbZ68kim3iuMoyNfPDMBu2Nvkc6nHI+ 2pv1k27REWyjz96qn7VCw+zgi71dv+pOHcluvtm79Lvu0R86m2QipJBKWvR3 IJ2M6HdPJllkM50ZzGQWSYTp9+730kErN7nBda7RQA17Q///K/8AqvxgXw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hecz3UcwPHvOUeKskIkka3MjKIyojKySZK9Oburm84q2Q5nlr0LWUlS 2TvzcJxRVkilopzq+Xv44/l7vT/v3+P3ffx24U79mkWGBUFQzk1YxiAYHx4E F/QYg7nN76ylf0QQfKzHWcdFTvAe1/iZy1zlCkP4l/9IZyz3GUfgWus1g47X MJ2g4bpB6+lErauT9DX9Uk+TxE1+4TrTaeL+xvxtTuZN8+bQc9DB3DVPo5H5 Kx2kA7ljnkpD86jQ6/T6N7KZrWxjF/s4xFFSSCWN9h5zXtP5IjRzjhjX26fR ul9j9aiuIcE8WtPYQ6LzXj3CauKdP9Kz7GKo8249zCrinD/UM7xv/oB+fO7c Vz/TSN2pfXSl9tIV2lt3aE9drt11mfbQ7dpNl2oXXaJddZt21sXaURdpJ/1e O+hCfVcXaHv9TtvpfG2r8/Qd/Vbf1rn6ln6qbXSrttBZ2kxnanPdojf4jV85 xA98TVP3z9B/Qt8/cxTfmFvqbL1HK3Nr5pg/YQqpbKKB/WR9XevzBgM4aXeK jfzBn/xFSui95hIHOcAtxvATPxJFhGtkIiMPkTn0+dg/rI+QhWxkJdr+Mc3O o+QkBzH2ufVxcpGXPMTaP6H5yceTFCDO/iktREEK8zTx9s9oUYpQnGIk2JfU UpSgDKUZav+cluVZylOORPuKWokKVOZ5htlX1WpU4UVeYLh9DX2J6rzCy4yw r6W1qcmr1GGk/XK/n9nMYiYzmE4y05jKFJKYzCQmMiH8wf/W/1oCokQ= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1507, 1410, 1505, 1611, 1747, 1633, 1746, 1634, 1748, 1667, 1878, 1668, 1703, 1702, 1613, 1721, 1722, 1720, 1724, 1723, 1614, 1706, 1716, 1670, 1705, 1635, 1844, 1669, 1728, 1729, 1612, 1704, 1715, 1551, 1507}], Line[CompressedData[" 1:eJwl0klXj2Ecx+G79C+iEDJLongBkkxJRHEQmds4pgxleg9Kxtg72sqyLJxj YYgiw8KYOWOmQpJMl2Nxnc/3/JbPc6euLy8qiwohnOVEJIRqmiiJDWFwXAhD GMggkljn3l8H0I9EEljrHq99iaMPvVnjHtFYoomhF6vdg0bxy/7Db1bRw0++ 84NuVvKNLr7QyVdW0MFnPtLOJ4p5zwfe8o42lvOaN7zgFS9ZxnNaecIznlLE Ix7zgIe0sJR73Oc2d7nDYuqoZwPnOEkNZ1jCKS5ygfPs4zS1TPY9hjKMZDa6 DdcKHambdIRu1ktk2lOotEfpFm0gy57Kfnu0luplsu1pVNljdKteYbo9gwN2 im7TRmbaszhoj9Xt2kSOPZtDdqru0Kvk2nM4bI/TMr1Gnj2XI3aalmsz8+x8 jtrjdadeZ769gGp7gu7SGxTYhRyz03W33mShvYjjdobu0VtMtCex99//865r I//f+V82BmLk "]], Line[{1504, 1459, 1463, 1464, 1465, 1466, 1603, 1666, 1843, 1665, 1841, 1664, 1842, 1696, 1840, 1662, 1838, 1661, 1839, 1695, 1837, 1659, 1835, 1658, 1836, 1692, 1725, 1656, 1834, 1655, 1727, 1689, 1710, 1654, 1686, 1653, 1875, 1874, 1630, 1873, 1685, 1699, 1688, 1879, 1687, 1711, 1631, 1876, 1657, 1700, 1691, 1880, 1690, 1712, 1632, 1877, 1660, 1701, 1872, 1694, 1870, 1693, 1871, 1713, 1714, 1663, 1504}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.29999999999999993` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.29999999999999993` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVsf297EL9hK72DuWqLGiY4sVDWI09l7QKPZuYu8dkHjRKLHFWBCF 2PWxoiJKkQ6K9F6k2LC8edd6PvusdVx5eb335lfzF+uz9szh+c6ZsmfP7FNn 4mybKQVNTEymFjMx+b9/Vy3/0MJ8fbhhwu21hjGWbqrXdbtAt6FPhMsUvP5q g5Wn8HDzZeXPnv9VmPoj+zwNv9H9ltSHqQ9TH6Z+4dOvg22meEt9mPow9WHP uAJPR0d7qO9MzWbM6/VEjZ7lUsfU10s4OXtc8tyfAoUpb3G1sm3nYSFSHqY8 TPkCsxtMLWz7VMrDlIcpn7Kr6rl4yygpD1MepvzQGbW/fHg3RsrDlIcpb+jZ yO3MoHgpD2NvUrNFS8fgRLHD2B1etnVdMj5FRe9vt2barGDDs0W/lGo5aa+y MgwcnLP8sTDvBz66ebRlm05Xhamf2rJQyvYrvlIfpj5MfZj3Cbc9vfnX4qXt 1a3osknDHgWqTf6Nfmp8JlQYu9Me84RakWFih7HP7GsRl5gZKezyfv+L4auj hc2CD8/pYhYnvMDtREYdhwRl9cXeLldW+n1if7b5rF3RGsnCfSddTEs+kqpq u5W9v8/llthpX+z0Z9qL/gyjH6Y87UF5ffvQn9EPY6f/Yoex01+xw9jpnzD9 D6a/0V4wdvobTH+jveB9hd85OG19oiZvn7Jr0ak4dX1HyAKbi56qQ7f5O9T1 ZLVi54wfRozbbqhSJ3VNk6HHhO02fBzWPv2xKnR4dzuvctdU+qmXj84WTBX7 of0bmpqY+AvTfvx/+hNM+6EHO6xv33OWhpk+zTOE3/t0bj4mKU19uc05pMfS UIOF64mhFnPmKIfT/s22TQgUzn1stjKwn5+w6/P1R7pM9hJmvMBz673s79v2 lrCtt3f0XTMPYcaTWZODVzLGXZb+BKO/3aLd1xoO+l04MvzUpYtzDVK/5dvk 0M1D7kl9mPJ3aseOPOp1R9j5yYvhdhEPRC/tjT6Y3w/z+2H+H0x7M36Z/+CO Mbe7DTwcrM6HHz+66NQz4V1h39mfdn4u9Rnv1Icp37tPuF+tyCh5/4x/5kv4 7QDbx4aEx6ra20SfxMx44cdTZ5YZ9VWiqjA4tmjklN/UoarLStXvkybtw/oI s97BrF/0D/Qz/mH6B8x8AKOH8crz6R+0B+OX8eZWO9q6sG2s6Ge8Mv7WPckY 9GhpkrQH4wF7yUXbf4vdFCDti53nY6d9hm94b+W0NV30eW40pK60iuuKHpj+ ADMeul+u3adImyfq6pt95Q9Eh8l4zDl+fKRFXpjMb5drDChWoXfYJ+tzwQHN neZujlUTo0yXPxny5JP189zwhF5lXycpr0kNriwZc1fmp4cPtw5MO+Qh4/u5 T8IE+7lPDK4nbAOb//F7+jZwK9t/nadwl5M9Fl3bc1z424M1TwbN81Bw3f6u xXvv9RIeFB0/ZtfyQOEZka9eLfz4RI30LDF/uG+cClh+cWHRefdUylcL7EzC k9XbUz3Xrr7qocpnFo+zi09TG4OGT+9y0Vl53Ig3uz48Q624ueH2km7BXcus CzmXPmOLcNjQlPHz7/8iHBC++/FqxwvC3RadOj6m2TVhxyGTY/zT7gp7ucz1 7XbpvvCBCMPsc8V9hTut7T11up2f8IKdj2YtrxYoXLbdt5NbrwpSlp1Sx1Ys GK62Lb/0o11egNj79gj/vpdFmHBs4oSJebvD1f0Fx+8u8wtTFw82qzS4mWY3 z02cXqprpPDTR+1bRQ9+rlb1H1/D0SVUFb3RqH1UQqQ6Zz5myxznUFVlVEbS tfda+TdD8tqkNIoW7vNr1zOeYdHK4+zstGl1QtTDvrX9LYpq9knNC7r7uMUK n131dYuTk+KEHxU1be3RMUG4+kir0ztTE5R/hc5nF74PEH/i9aDAmqOX+anc IReqLtmdoHpt973VcK6f+jXnlOfRn7T67Z+XObv3VpLw+jZDLBYsTBb+5VKl Vj8MSBXOKDny5PAPqWqXGj22pJWX+CO3ttttrFvxppqW+2Tnxmmp4p9c3ubU 1DI6TXWYNqWGi9kN8VfaOi4vvLRm3HX8EZ4v85mRZT4zMvMZrF8v6d/4G4xn yjN+Yb1/YthqsyztvPb+mO92bKryc9nbIdr8Z7Qz38F6f6WFQ45Hhx1aezP/ wXp/JfHsFdOFZqnqg2e12XW8HUTPnHrzS/64L0BFRpk27Tk8Ts1b12jAWIcH atT5E/NKD9Te13epqUcio04IHxyy8rHpw0dqQ5HQRUPctfGfesPVrI9DqHCr vAeZ0zoHqc0prWx2v45RlfottT36/SP1w8wtgVldk9T83WddjwQfk/mG5+Pv wKwX+Ou0P/46jD8Ao1/KG9sP3tR65MylxcNl/v/Qak7gDdNw9XhR0MePh4NU Xd+0Rg2LhKuAMhNsZq4JVgXHbHx6/nKY+OuWX0/NzTocpnqNK+l1ZVG4WtV2 ZkbQ6DA17OqwIvPfRUh/DHB+M21gQLrwrmfr5g7emCHM/Iw+1o9BJa8mT48J NbS6t7WvYahL14oll3pWL6PxouZnq055FSDs1jyni/vDQGHah+eV/8Zi9zt3 P7GHDEqa6RrpKzzveY9VGTsfCCc/v39/a4eHwqxnMO3N80/V6zjb3PS22NvV c2+4ZvxN4fSHvZ2bTDwnHO1t02yi++/CtIf4f8b3v7fs7lMPi7lr48FlWJxp xA1pP/H3jPbctEn+i3+9LTy96LyofR+9VOz09Ycsp4dLf/vR9UzpfpuDhY+f yu3r01FbHzdEqxkX3B8LBz17+Ox2RW29rOTbze7Sb1eF2/ZcYnba64ow/gDc wSK+dMzg32V8xG8zPxNie0sYPfRHfv+R0QPjBr7Sxscz24DUcX/4TU677Dt5 F3so9d0K1TobOslP2LXylGG9csKU3aW2ft6lAuT59F+et6zMqJhKpqHCHtWj kxv/HqESL50PqpYWpnrXnqwaVg+V+vizlB90yzYqstoz4a8TFucsiXmuylc7 eLf3gVDxfxumhW4qkxGimts6fpxeIEqeh39L/d2drsz+1kmbD8/c+HH+mJkx ym2fVfmWHsHiD2edmfs8YnGIst1eJdbq5yhVpVjWlY3hQapBdrVqsyfEqIp7 Btaw6PTHuG17MKxQoRj5f6xnPD+vwq30DrW09bGq8/qs7rlxUh5/GvuUtPuz ah6PF147f9vchj8mqi3mFe+VXuIn/nfh+nUnr6nlq2Z9cN+wekaitj4Z1zfq +3j6pBb4Ulsv06wcMs2KpUh51jfsHV2Cvo+/lKLNzw2dZ2fsTFO9t17LXT9Y 68/4q3D5/aM6fNlL68/4rzDrq8zHRn8cHvmkYNTYEK2/4n/CiQ3Lee3fp/U/ /Fd4XmrZGg3mBYk/f35axIzLvo/Ff2d/8vqc5a4Q30Tl0u/R85o2e2R+uLC1 U8fF1VYJ1491qWf2UFtv/L2DAqe2CVM272ZdS7n0VL19XrbLiUaBak2dLiYu CbHKdtuq5Ii7/urYCisTV/d4VfJJjqnLci+1fccax5zSyWpmzzsnQwbdUXsm jptU6XCKOpBxM++mwUX2y2O//3Lbq2x3FX7pdapfXpqyrT68/cxdJ9WIvuX2 l/olXfa/Xz9JapU8+KKB9odpb5j5Aab+/Vre0VWa7ZL6MPVh6sMNz2b0jPR8 KvuLLy8YBjXMixb22bMxL6J8gvCsBd8cd2iaIlxiSOWh/XtkCAfuzVhlcvqF cP1NQ4LDL2YLz198ofmFO7nCt6ZWX2fv+0q43LCVYbMi3giP/zqmVb/EPOEz bftsrJ/zXvhjvZNPP378KIwe/Cv0wOiB0QOjB0YPjB4YPTB6YPTA6IHRA6MH Rg/+IXpg9MDogdEDowdGD4weGD0wemD0wOiB0QOjB/8VPTB6YPTA6IHRA6MH Rg+MHhg9MHpg9MDogdHD/IQeGD0wemD0wOiB0QOjB0YPjB4YPTB6YPTo4+/s H9AHow9GH4w+GH0w+mD0weiD0QejD0YfjD4YfTD6WD/QB6MPRh+MPhh9MPpg 9MHog9EHow9GH4w+GH368w/2c+iF0QujF0YvjF4YvTB6YfTC6IXRC6MXRi+M Xhi9MP4H+yH0w+iH0S/xa6N+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6Pf4 tk5Q7Y6Zoh9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRP/3mkS8c fngh+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj95i0aDy1yK0v0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPqfOJ90XFw0R/TD6IfR D6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+jcVaxmQ1D9X9MPoh9EPox9G P4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6uy44V2H0zpeiH0Y/jH4Y/TD6YfTD 6IfRD6MfRj+Mfhj9MPph9MPoh4kXEy+BiXfAxC9oD5j4pv4+APEG2hMmPirx c2O8u3SJmNwR4ZnCdxZP/cq7VpbwktikBV0nZwu3GDzLw+14jnDMtczsumm5 wnp9+Nsw/iq/V3/+zvoAM1/CzB8w4wmmf3HeyPkh8QbOC6PvjXrdP+O5xINh 9qOrjtU7WqBYnNhh7ObrUwZfNE8SO4z96iT3D3bt0sQOY2/+y7XA8r9mih3G vmJXHYv0c1lih7F7r1y/5sH1HLHD2KvNTgo54vVS7DD2GWMHtlwV9FrsMPaL A8+uHxX9Vuww9uJdvohol/5O7DD27yyWti7/9oPYYf1+H3vwza1pha6Eq8Xf ODZ+UC5Y3gfxS8rDlLcqeKihfb0I6d/Eb5hfYM53S2Wv2lbcN0POD9qH75/u NvqUxFdg4mFzake0rtPNXXjHwtWzzDseMhC/pzxMfIZ4PHYYO/8fRg/n0XBU 432/nnYOlf781n1sOft6MaIXf5L7JfrzfZ5PfcYf44HxR3tL/NbY3jC/h/sM jGfmH+YnmPN17iMw3pl/mJ9gzuu5H4MezuOZ7+kvWwzbD3fIjZL2Yv7H3vjA UOuMkvFiZz3A7rmi5vuj9ZPFzvqAffKouN9GW6aLnfUCe4Gfh500bfpC7Kwf 2K23XS4Q91W22FlPsLssNx9+o3uu2FlfsKfPWOO6b+ArsbPeYO86Mr7w4hFv xM76g31bv/6jbKbkiZ31CHtEB9ezzee+FzvrE/ZmjcsXN/3ho9jpH8S3FroM cb7sHyn9k/dH/6N/wtQnnkR9fX9iv09/1fcf9o/0X/oL8XN9PPb/9/7Gf/Z9 jS0HF114f+KpxLcntVi76au0aOECpQZ8lVo4QfhgSvnoQzVShLt4he0Y0TZD 2O5bv5rFj70QvtrzqwUxZ7OFS7b5h9f1a7nCI+u+r+384JXwiXITFi8MfCP8 2uTuI+uoPOG+mY3rW6S9F94buW1ZsTcf/+n7IZxv+F8Or+P5xs0Ae3dbszPg 7jGD/j4G/ZXzXf39i/zuV+jvT3zu/YfPvb+AHst25Ssfds0Ujo50Dyhb/IVw 5qE9w77I1tjJqn3FtVZZwsfKVHXa2D5b2OrS5SG5uzQeuWJ/4JvlOcImDbs6 TAvUuGxSrS9m3sgVPm9/0z+06kth/DeY9UN/v0F/n0F/X0F/H4Hxqffv/D3q DN+xU7sPhL8n92eM/h6Mvwfj7+V3v0F/vpTffQXmK/oX/h+Mvyf3vYz+HYw/ J/dHjP4bjL8G45/B+GMw/heMvwXjX/1H3XfQn5dNPVCk9tCrzirlopmN/3Dt voP4U8b3VXpDRM8VG34XPvBtgZ98h+8z/G+/D3Hrlq3vjWht/q+garUeGfX8 T8/3P6p3FSubxoj9bM2EZ2XfxAr/bH7n5qPa2nrxzTvXrffKJgl3fr/Vbl0H bf1IC1vU4cfGacKh4UOqd7bW1hPP0QfnVXPJFLZ8Wir2tbu2vlS0KvQg92SW 8DbvuZ0CDNp6M7nztFp+F3KEw64E7jrzUFt/zjV9uPDU7ZfCTU92TNgSrK1H Bau19N7o81p4ifPPXabGaOuTtalD3Unhb4Xvby7g2D1DW69cXr9c0jXhnXCl pVOSa+Rp61dmwkifqtkfhK/P+WmPWQFtPdPfj8jvvsO/en8hv/sFu36ofj9y 4xXV2WdC2aN/vLe2Jp0r1Cuh3Y/Df+5wsccO53ep+Z5nM16JBzA+NzTJ8gie orFT6pN2EdYvpDzxAlnfnBbm9Duhzd9WI75bNGhPlpQnniDrXcE3ba6ma/VN PMN+vxGaLeWJN8j6N3vF/BZtND7femxua/NcKU88AvvoiI/nXBZrPONgVNuj E1/K/ojxx35HxpP13uud32vjj/2HjKeW47/PqhgnzP5DxlOpxlV+s9DGG/sP eGtqxp1xvbTxxv4DdowL71DCVRtv7D/g2AC1M/6SNt7Yf8j9ojuH427e1cYb +w94jXsxy5/9tPHG/kPuVxz63n7JU228sf+Aa9v7JA5J0sYb+w+5b7i6jWqZ q4039h//7P2Qf/d9D/rD85XWr6aX1M5b2D/QH2DeP8z7hnm/MO8T5v3BvC+Y 9wPzPmDaH6a9YdoXxj+G0ae/PwKjD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9 MP4293/Zf8HohynP/WDKw5SHKc/9YcrDlIfxF9hPsh+F2Y/C7Ecl/kh+jXH/ SX2Y+jD1YeqzX6U+TH2Y+jD18e+pD1Mfpj5MfcY39WHqw9SHqc9+mvow9WHq w9RnPqE+TH2Y+jD12a9TH6Y+TH2Y+uzvqQ9TH6Y+TH32S9SHqQ9TH6Y++ynq w9SHKc9+i/IwdvZf7Pckvsn5g/E+vuQjGlnyD3V27v/KeYXOzn1fmPvi7Ef1 +XKS32n8PTDjU5/fib/DfgF/hv0I/grPYz5lPtD/XuYXmPkDZn7g9+vzg/l9 tAcs+VvG+/Gsj/p8PJNF2+o7fqedh+jz1SiPPjn/MLLkFxrbQ/ILjYyd9sMO Y+f38v/wR2HihTDtQX+Cmd/Zj0u83cgSbycf1tif5LzMyMQTySdkP8/zYJ7H /h47jJ39PnYYO/t/7DB24gGyPzYyduID2GHsxAuww9iJH2CHsRNPwA5jJ76A HcZOvAE7rH8fjF/eB8z7IF8TJl8Tpv/K+YYuH1POx4z+PPFqmPMkxgv1OZ+A +X0w/Zl4CP9P7tMbn0/8G+Y8ivrsD6kv9+mN5Yl/w+SHUp/9I/Xl/ryxPPmh MOdDkm9rjGdKvi334Y3lOR+FyW+mPvtP6sv9eGN54vMw+aaSf2+Mj0r+OPfh jeU5j4XJp6Y++1nqy/14Y/lP8qmN5w3UJz5FfZjynC/BnA/S//T+nz5fm/lO zj+MduZvfXnJHzMy/hasz4+V/DAj49/Akg9mZPwPWO9PsJ6RD33M4FV41O8a s76zHmBnfDDeGT+ch9Le+B/kT0e1LDi1yxZtfdWvt/gf5A877V9/9MzjF/L/ 9esx/gj5yANMTePqVMiW/8f45/fp79Pz/8n3toy/vX6RheYf8f/ID39h0+du 4pwsWT9Z33k++f7UZz7i9/F7+P/Y0av/veS/w/w/12/6uVlc9f7E/yD+SH+D eV8w+z2Y/R7Mfg9mvwez34PZ78Hs92D2ezD7PZj9Hsx+D2a/B7Pfg826+9aw ex/6yX6L+Dfjfey52EK1dmj+suvpNZUdc7X37Xo3vWPfDtl/eb60bbv92399 81itObJuUnYTd4P5Egs79xBflXrA+X2VOr8ZSu+0sPht1h/rUZuYUnblF/7L +dFVpsSM+3g+WBXdW2trWjdDvvnSh1bNa3vYPFQtOD/Od72LpzIr1/7cXetQ Vb3SoCIL7mv5dn+WT31/Zd3RI+aHKafgpb+U6KHZ/yy/Or986vzyp/PLj/5X 86H/1fxmuIRDzTMTAtKFR8SPb9plY4Za7Dh2Qttd52Q+GlbvUWfbEfdl/jlx KfJ6wbUBMl/Tv61mF3u4cJy2/1rRImHDjh8Oib9FPDO/fOgZCSOq+vcLUX+W H43/fWT6/C5Hmnnlmy+dX360Ph86v/zn/PKdYda3BT3qPbXff0PWE9YjL6cp l637vFArep3s0Kerr6wfrD8Wlvs8fZyz1Plr6c0a54V8sv6dznQ+HP84+5N8 6r1DPSZP+eKCwWvJo/s2pV8ox6g2oT9OfGi4ERVxvuOYLBUwsHyTIkWDDIEb zE/H7MtW1wc0ODG3wmN5Px5VKtl9c9VHzbJpUGampf91fb71vm/Daq+9ftDg Nn1b/bxxmarazlL3skbcNvQacqfYhwsvVNu8ySer+vgZtuSmr1r5IUtdTVlY Yf6QMMMFu1oHH36Vo8IaDTCUGqDtBwt/aGZVpnOA7Fd77Wkdu+bKH/u+eiXt i3ueyTc/++K6mseu5T75pH/h3yw5YF0ucvyTT/aX/678bfsPswY6bw77ZP+P vVeEk2H3el9tv/Rsz/TxaY9V7/kdf63ax91Af2X90H8/oIhN5k+VL5wSfXWs QxYeq3jsE73kx/N7ed6WQyXSm0+/opU/XHnl1MvXhd/uqP4Pl233hNfs2GNd OPau+mfzodHP/68x6VCLhh2D5XnDJsXZLCgVIpzT/fTHpg0ihC93nxEeYR0u zH5a7sfUbr3JwTZS7P12dQqaY/5c+B8rD1hYNY0WXv5xRbUGN6KErWOHdYmr Gyz77w9f9qk6IyZQZa4cVcT+tZvyrzt1+Jo7QerI5p+rVF50QTml3OgZ7hms ok1Trj16oO3P+T0P0p/PMfGOkecn2BVc26hdrHD7sVNDC/aIF676rNe98OA4 YfbvPG/ao+M1L8QkiH39QK+WzwYmCgdatthwaUSy8IWrJRfYZyQJs9/neUVO zfGalZci9noW9hGOU1KF51d/2XrO3HThofsCavcrpjHxAZ5n8/X+zvammWIf X+T0naNdNS7+/tlsh14vtP5l+Th+ZRmNiSfwPJe2JvazvsgSu1tO2eqr+2s8 PLWHp511tnBfi9ZdRlXXmPgDz8usNzmxb50csZvELpg7epjGx8OP1eg/Old4 b3Unh3aNNCZewfO6VrjftX7zl2If9CTkXvuJGr/0MpvfwPaVcLzZ26RybTQm vsHzdhS02POxw2uxH7hlaV7BTuPel+0emCx4I9zu7ZhuaV01Jh7C8yJe7EwJ 6/VW7KlnXRakL9XY8Tf/WhEr84TXJd10ut9fY+InPM8iKrv7eet3Yrf8pfDD B+s1jt3bbtGFre+FA0IapB0epjHxFp63wve7vbtHfxD7ll22dY7u1rj1Jmdv +58+Cte/v7nnyokaf+73FZrurOxQoUuoxHPq7m5Sae7uEOU66ejyE4dvq0qt brmsLBGmKt+KMPcI9s73+yH/277XkF/+/Od+v+Fzv9fwud9j+Ku/p/BXfy+B 8hL/MdoPL32a7NUjXTmc2PTKPGKCIc5l2dpnRTNViHlsrs997bzwP/t7Cz+O 9fUYcNte4ivUn1Hm/kEfi0w1fshp35QmIYYcn8nN+yRp8ZzHaQUdwyrnqPpP e57YeTFI4jnfVthweUwzf3WsguFhgo+TITYhcoJdVqgKPdl41Ydy3upymXCb b+NdDaHnO5U0XMhUu0bOsy7z3T1DwclWfk1KZKka4UdqGBKeGMY4WJn/MjBb 9apwpVjaoTAV3d7PcaONn8RbmV/8qxVu33CZv8RjiG9gn1B9Skm3x/6q+ZXf F0w6v9rwW55dqULJfuIfj/5gtswm6Lphw5leI89PeqFa38hb/9UyH0P61Wu9 h7lmqdG1Dz4reSBALex9/ljvIr+ojBY3Z83/QqvP+Loc7B3cyPe0ej2z2cyF xQMlfsP7Ib5C++vjLfx+7PrzdPoL8RWY+ApMfAUmvgITX4GJr8DEV2DiKzDx FZj4Ckx8BSa+AqOH/SF6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdEDo4f9LXpg 9MDogdEDowdGD4weGD0wemD0wOiB0aP/vrD+PJf9LXb9eS77W8rDlIeJN3C/ lvow9WHqw9TnPjH1YerD1IfZr+nPA+V7vsb9Ciz5csb9BvsH7Pj/MP47jP8t 35Mz+s8w/i+M/wrjf8L4jzD+H4z/BvN+9Xrwr9Ar3ys26oPRB6MPRp98b82o D0YfjD4YfRIPMOqD0QejD0af/vydeBf9ASZeQPyL/gMTX+B+IP1Nn5/I/A3r zyf187e+/fXzOXbmC5j5Ama+gJkvYOYLmPkCZr6AmS9g5guY+UL/+/XzH+2P Hhg9MHpg9MDogdEDowdGD4weGD0wevTf3yZeSv9h/qO/MN/RP5jPOB/ivIfz F853OK/BPyLfje83429Rn/Mjzqs4L+I8Cv+L+Bv+B++H80X8D/TJfVrj/+P3 4S8RX8PO/ycexXyJfwLjj5HPCHN+R319viD/j/aAyd+CyceDqc95VojrizcV CsSKnfw8eNH2S8e8qiQKk58HV5y5esjqVqnC5OfBI47WN6lRP1OY/Dz4uOOm Ya9aZgmTnwe/Xpt6yr9zjjD5eXDv+daFXPu8FCY/D3aa6DFi85DXwuTnwbGD q7hNHvdWmPw8uG33FUW7ff9OmPw8eG2r56OrL/4gTH6e/n0Qj6W9YdoXpj1h 2g+mvWDaB6Y9YPTD6IXRB6MHRo/+vJzxwHhn/me8yH1yY3nGH8x4pj7rA/Xl frmxPOMVHmUxqNejNzlSn/vl1Jf75tzniC4zueh+jcv+w2+t6qrdN8e/YXyw vjB+0M/8DDNeYOZrmPECM3/DjBeY+RxmvMDM7zDjBWa+hxkvMPM/zHiBWQ9g xgvM+gAzXmDWC5jxArN+6PuT5JcZWfLLjCz5ZUbGn8X/wh9jPYWZH7m/JPeD jPcfmG+ZX3NKeiUeX++vliXecq5uvkTyv7kPdaTmVPtHS30/sevvK7F+8Pvw f2HWf+YHnq/Pl/37fsH/+37B594n+J+Wz5tffu7n3m/Q30/I7/6B/n6BPv/3 X82v1Z+/55dvqz+fzy//Vn9+/7n5uIxX5g/9eWZ+9wH05/36833G75+dt+rv K+jzxfI9f9fn9+ZzHq/P/83vfD6//ODPPa/P7zw4v/N8/fmHPn/urz7P1+ff /dn5Pfl6n5zf/zfPf/7c/OP87g/8u8/7/z6///v8/u/z+7/P7/9d5/f5ncfn 932Bv78n8B/7PQHWH/ne3n+x/Hj9+fff+fB/bT78X31+r79Pqv++Q37n+/I9 oJOjLq/LnW/4r3a+r79/EFbWJtnOJ0zFOg0rkbhbi5f82fn//wFF/X7G "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl1dwlkUUhndJIEBCCaSQQCKhBmkBlVAlIIRgxaBYabESEQQFEUGIEL2x j92x9zZ2Z2wzemMfey/jhb2NZSwzltH39TwZuXjm23///XbPec+750/q2ta2 rumWUirJKRXoeZhoFHWiTawUPcXRYpoYIY4QU8UwUSkGijLRQ2ib5P2mi5Gi tyhizvsvE0tFoSjmHX8/Q4xibgJ7VoiDxIFijNhd9BH9xU6xQywS54hO0SrG 8b3fLxelYgDv1ztPYu3Pd4sY9yHW7sR0kmhnj0ZydQ41okpUiwbGQ8RasUYM EhOJvQqdRpD7HqJWDBWTeK+WuGaQe+Z8x3EC8/WcV4HeS9GsgHWOuxfvFfN5 JWOvO556jCKHItYeJ0ZTp/ViHflZy7HotlDMF5PRqxz9xjMegNaVxNfOuIzP 1egwmb27PteQ/zo0GIJ+1by/FzrVEt9ocuxGLZz7kWKJGM5n61xI/iNZX0ze nlslTkzhhRJ07dK8jr23Eavj2H+XtbPQpJ+Ym8Kjzm82WliHphT+sx790cDj fVJ4wnkvSOED5zYvhYece3MKTzjfvVN43XtsEIeKPcljOrkcIKawj2Nv3EWb qbvoMQ1NNoszeL8DfX3WFnFmCp/tK1r4zh6xz3qibx06Oa6ZKe7LRLSoQIM5 KTwxAS0GEtfhxNWAFlWc0ZL+vwvz0MHa22815LyANc5jP3LxfV9MLQ5OcYe7 +oLH9ulOvuvL2lbGpYxdr03UuIQcl5Cn59x3XHvfZ/uykro1o1sLNXBsG8Vy YrNmy9DNzxWMl/O5kM8r0di9bRVnea6NeIr5XEI9j6Kep4tj2MM96mRi7Dq7 gL3s83rq4TtZRg7trG/n/UHUbTVrff6xnLuaNZ6fQj2cr+/Idmq1mHq0Up+N xOL1G3jHtVxHfbeKUzjXz7WMV5Cb8+pg/W48O9D81BR9qoaaOI5q4t1EzDuI xXX2fZ1Nre17+999wf1wM3P2vf0/ipy852B03Ups7sNbWLuNswcT23rinE98 NcRg//Ullh2MncfZKbzv+U5i60TDLj/7XfvY9/5ccQi5dLLGZ57GudeLd9H+ ZlGQQ481aDuYMztYv4h4rE8frf2UMwdo/Bn1vFH4srsm7mfuR75bH4jnU/TC B5xrjh5gP7ZRuxbNLcwR90ViXg5tfhA/prhjl4jmHHfoc/EF+X0lvk7RS14U FTn6yMuuc45e06jnxynuzTPi6RRe66f5Z1P0pgvE3By+vlZ8h4avWIMcPeh7 MSmHxs7j/hS5/Cx+SvF30EzNf4iGTRpfp+dZ4lX7JUfPsh5zcmjic77lrFma +wjNnxNvEdut4hPiH6E1D6XoixM1fjLFfbE2b6bQ5z4xJIcfR+v5SIp+Wabx ndRnnMaPp+hPzvulFLkP0vieFP34UjE5xx34Rfyaoi9fLnrn6Bcz9Hwfj9kL 03P44QXXP4cPLnOMOe7MlBx/N7r3TtOzNIfPr2Iv73Ml33neXpuaw29jvV8O H78uxuTorW843hx9f2SOmrlej5K/c3+M9/1uXz1vS/G79DCaNlCT8/Dq3XjL vuqm+ZvwbHmO3JzXe+KWFL1/fI6YHM+wHD6wB84XlTl6yl3UwPo35IjbMV+B LtbkbXF1ir+h3hHXpPiNHarvh+e4n3V6PpiiF95LzVyvLznPZ83O4T977x9x Q4rfk16a65mjP92OFtbhjhT3yneqPodf7dXaHHfJ98i+vhBv26cX49Wn8OJ/ v7057o/9/AQ+s8eK9OyRo49217Mwx9+Svuuvpbjv36S4h/ZhVY773CT+Fn+l +H/C9RnI3fld/Jbif4s/xJ8pfvP+Bf1P7RA= "]], Polygon[CompressedData[" 1:eJwt1FVMkFEUwPF7MbAwp05xEgIiKoqANUEUAyxm59RhMgOHIhg45wvGg93O wO7u7gfn5ma7mQ86dXa3/7NzHn479+t7zzn3C8vM7jE+wDk3GMWxFhfQAjPw BCW8cyOIkXIP43nEuk7PfcI39Ec4fuAPBiEC9bj/CDEOHVCd453EhmiNKhxv I9ZHEorgOZdJHIb1+GvzG4J9qM31tsRGuIx76IJ8rMFi9EYubuIsuiIN1xHG 8xOIBViFBWiPdNzHA5tLBbzGG3tfL6zGIntXJ8vVOnS2nF1CgNe55yGK8SFi Y7TDd7xDHwzALSxHEFrhETajGzKwyc5l2Bqb874VxPLojpYcr7S59sRLvEIb y/F7vJU12zef44XlXnIewvP7LZepOIrblosmeIbS3DOKGI0t8i2vc41BWcbL iKORhUocV/Y6F5ljOcZBXucqa3xoz2TZGst4/Ua0veOU5IpzHYkJUhfGZ4iJ mIU5+ImBkgurdRr3FFqN5sravPau1CNd3uW1doXWSxsw1HpKem0jcbjTnvvi tKell/uhIte32lqTsQs1OJdCjMUvpz0fYXMK5tpe4jiMQR2OwxHMOBvVGO8g NnD6jmSOkxDCeBIOItJrLaRntqOq12/LMyekrl73UjwOS+689pbssRjGx+1d ObiBY5jotMcf46r1muQ/1WvNpdYzJXrd87LXpzjN/R2nvS41uIh/TvfiZPy2 nEuuZc9/tRpJbeSf8AGz0Qx9ne7F82jqdE8utBpLbSUHTxHI8UhilM1d1pRj a4hjfNp6Q+otvf3R3i09Hsv1k5Yb6aE9VhOpxVgcQKjXWsg/YL7lQNYuNSrm 9Z+Sbz3hvO7pPOuZeI6XWG6moqTXczKWOSd4XYPMfRpqef3nFFhP3LUcSu7k n5HI9aV273RcsznLXGUPn3P6T8u1nEkuPzvtTclpKa/vkGdlj16R815rKzWu yXi3016Vf+Z/AVmiOw== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncV9MWxjtrpxJRUTIrKSmkuELGjI2U0iApKVzJEBXSoEG9lSbNk/c2 uERJlEQkZEyUkCGJmxtCIlOsr/Wcz88f61377L3OXs/ae6+1n/N7q3bp2fIm K1GixJP+J7m+0PVAl6uzEiW6u+7m0szbg9TP+A0uTbyvhcuN3m7q+lKXwd6+ 1+VilxEuw12au4x0KXK51GWoyxCXxi73uQzjfZdb/f2uLte63CbdzWWcj411 aeMy2WWSy5XgE8YeLhO8Pd6lrctol1EuLV1uysKms8stLtfIxxgfu9/lcpee Gu/icrM0dhN97AGX9i69hKW7y70ut7vc4dLH5QaXf7v0dbs+LidYjF3ncr1L b2nselvgvdOlXxa+8XmPNBjvUkxgv1sauxF67if/3eVjoNYLjIOFC59DpME4 SOO8119+WO8THU9f10Ndhss3PgZonHmHZWED5vuksXvW5VGXx1yKhIs4RskH c4yRb9ZsrDQYR2sc7PdLYzdO42CfKN/4nCQNxroWeCe4PCDs2M3RM+9Nli1r NlX4RrrMlD9wTVMfeKdLg2uK3uOdWbIF+3/+4XO2+sB7t+O5y6Wey50WNsUu +3n7SJcjXOYKF3E85TLPZb7Lw8KB/0ekZ7g8JBxg/680dgs0Thz1fd4HXS9y eTyLdrH2ZKawPyY9Wz4naW3mS+NjidYOjEs1hv9l0vh/UuPMsVh+WI+nNU4c K4QP/09onHmXa5z4npHO4xit/ejvsdzjcgqFyGWH933nslpzgfElabCsUsxg eVEau5c1zhq/qhjA+Jo0WF7ROLGukcZuo95n/H1pxt9UbJz3dS7Pu7zg8o40 WK5xzCtdr3V5XX6I9V2Ng/E9xYCPNzTOvOs1TqwbpLF7O4s58feBsBDTNmEF 48eaC4z/cgxvuf7EZZNiBstH0th9moUNOLcoHuL4XBq8mzWO/8+ksduhuZnj Q2HBx5fCTXxfCRd4/y+N7f80Du6t8kPc2zUO3lMt5v/W5QuNM+/XGieOb6SJ u5/F2c/3I8+DH4Sb+HbJH/P9JA3enRon7h+lsftZ4+D9VfEQx2/S4N2tcfbh F2nsSlv4YI4yFhrbBhYx7XHJLM719y5mocH7p+JmjX+XH+JOFuPgLWURDz7+ 0DjrUdJinDj2stDYfae9Yj/3tsAC3ioWWMFYzsIf851mgZG6tY9F/MS9r4XG bn/ZgLeiRTzEcYA0eMtbjJPHFZTPmWLdrL0pa4EFH5UtcBPfwcIF3kOksT1I 4+A+UH6I+1CNg/d0C+zU20oaZ97DNE4ch0uXU23GnpiOkgY7dwL3GHdYdcWG z2Okmftoi/gZoyZST6g7NTROTLUs1pqYjpMmppoaJ6ZjpbErEmeB94wSN4Fz HK8YwH6VBf/qlAUXg2fBb+BjzV03dqktP6wNXAyeBb+Bi8G/4D91NM68cDH4 F7wHLgZfg//A6+B38Dy4EvwLzgGPgVPALTpb8LAbs8ABV4G7wMXgTfAeOBR8 jffA0VN24IBjwEVyzsdzzsOwu0bjN2tsgPYFPgjXg/8gcB64DfwLjtVXOOAp 8JWch2HHmvaSv5xj3SU//bX33TVfL+HoJ7ucq/E8V3u+RHMNFD7eg+cMki3n qUjvwyuGZwV+Njgr8KqcZ6GHai7ux1HCPVjz9tN8I4R3lHzkHOJhxTNc8+Yc a7Ts4BFT5QMuM0Fzw2XGCvcYvZNzr4nyB1+YLP9T9TxcfZOyAs/jfb4b+CZo mhU4Fr5zXvKobGerDw4Ff3pQvuEwMzTXLD2DFV5RLH/ztA85p5mnmObIbqLG 5yj+GcIB7of0zjStGTzmZAtetVC2C7SmM4V3QVbgZLwPVu6cRfIHB8n50WKN 9dKaDhSOJbKjZpdULQMHPIQ6Qu2n1v4mn/COFVmBPy0XjhV6BgvcZllW4EOr hIl78XnhWKVnOAV3Onc8nIt7dGVW4DTrtB7LNS9YV2te+uASr8kfHGBNVuBY r8rfOvnIedtq4YWnwEO6WnAmuAg59LLsntH461qLVzQGp+CO3ZYVeMnmrMDV Nup9OMYGvbNRz+CGS7ybFfjQJmGFe3wg7Jv0XE33FvV9jcbfV0xb5DvnauuF 92PNyzMcY2tW4FVb5HurnlfpmXHi547+RFjhFV8K+zY9r1Wsn8rnl/KR81fW IOfrS7MC9/pK78ADdmiO7/Wcc6mv5ZvxbxXbD7IDLzzix6zAn3Ypnp2yy/nT P/kHZxq7Urp/wcE9/4v8wTV+lz94wp6swLF+VXw/yx+4SohP4C+JZ+Tca7fi ycQzcl7FM++XFm9gX7fLTyndudzB4CgnToDvfcQnct7DMz7gIWU0b0WdDzCV F2/IuQ7PmxTndsW2v3gGeJmbuXKOWNoK/KminqsIXxlxhipax8riFjk3Oli1 40C9X1X+K2gPKmmsrO76QxTPYXrO+RDPJ1l8V4/XmdutPaiUfM28v4l8wIfg PuW9f5vri+Svmvyfa8Hj2duKsq1mBQ5UywpcqroVOFBNxVlLz2CvITtw19b7 F7icpRo9S5i5Expa/O7C/Xmmxe8a3G/EBn+C75xvMVZX8dfRvMzHtzu1/EHN Te2c7nqay60uzSw4UmvvP8fiW4u8Gaq1ob+u5sfvGRZ89AhhaShsjSx4Nufh dpdb9A5951mcl/rCBB7W8hz5aqD1ZW2xbSB7/DTSnPz+donL5Vlo+GGrLPYJ 3tjS21PUhq+drDXF5yDtJ/Ynab3qyo554G7E2ljz80wbvsZ6nG1Rz3hmreBu A7R+1PrLLPjnFd7fwoJntsnCjjZ8sLUF722Xxe+HLWTPb3qt1I8d88AZ6YMz t83imTb8bqT80c8zc8LpOljw0iu9fYUFp22fxRhtuCS/NzLWIYvfCVvLpp0F 56Sf3xvbaR7eoR+OiTA/XJffD/HXMYvfOZsp3o4WfJh+fs/k+SrWzYJPw6XZ n6u0X1Mt9gye3Un98P8Z6uuhdeZOfU72nWXDfrD23CHXyoY+8IGB3y3Zt2vz fvosviWa6JlvCrgcvwVfRrxq85swPxx3Uz9916vdTO/A/ZiPefiW4JnvCubu YdG+VLY3qU1fD9kTa0+tw206S89p/4t0Bsgf8og8g8/wW9JCxY093Ibc47vg 728B172Ek7N/h0W+zbRY0946++Qnc1NX+K5gjmKLGgFnmm3BWamZtKlHOX9F wwH/fk97Wk/2jM/UnPTTd7fmAStzw6GmKZ6VOtdFOs/F6idG4hugNSFH+d7L 85Lvui7q51uxlfKS/taqCeQ8Z62x3iWvB6q/lWoINSWfe7BsqI3sB7/XsRd8 W+Z5Td4213nn3DeV8G2Z5zrtNqonQ+V/mOzpH6L+1rJnfvJ+uObHV1fFzj5z N3KH1NDesEeLtIbThZNaQR1pKeEbO68NtKkt/G+BnCQfR8m+nWoD35zXyZ7v YWoGmhrRXrWLNuNtZNNetYF3Oyjn+B7uqHpCHWkr4Zs5rx+08xo1TvONlz39 Y9XfQfbMSU6jJ2r+DmozTi0cqb0CA3GS+0Xq51xxpqZpragrf9cc3RfUlE6q S1PU7qx+bMkZcqeHziTzrFTOsv63yg6bG1UDJwsLfTPVD4Zi7WF97eNC5RP5 xV2PJt/Il7rqH688oh/bPpqzt+Yo1jxgvln4n3e9x6IeHOB85iuL8873N9+N fEce5P3bLc5yXW+vscjjLt5+2OKe/NzlFbXreP/LFrWorLf3TVHXjnO92qKW 5L838fvTPJdyKWpRI9cbLO7zM729zuKOP93ba01cwNvvWvCFrt5eYHGHv+9y YYq6ttXlNfV/49Iyxf7z/71WKfb6KW+3TnG2H/d2kxR5vZhYU+QdfQeqHw7Y NEW+tnBdJUWesmaNU6zbMpd2Kc7kEs5cijxFH6I2/g8Thm/d5vIUeXmq6zct eMTXnNMUtWSpyxVJ+eX6CGHeQU6kyLk5LpbivnjR27VS7PHRrr+3yLOzvL3Z gj+d4e1PLXhVA29/bHEH8s/PvVPcfX/6c5bi7jrX9WcWnOsxl+cs6u0jrlfo 7D3q+lmdsS+0r+wptm/IvqTPUyrF3fa6y0cWuXa+922x4HDHe/tDC7640OWi FHcfZ7B5inO4V4qYifcX17stuMORKdaFNTk8xfqytlW9/Z1FLanp7Z0W+XeM t3+wqBMHp1h31vzQFOeGM1MmBW4w75fiTHOef3LZZcFH5gsrOP9wvdKCI8x1 KZ10v7v+ROv8gkuFFPd6SrHWrPMTOlucq31SvM+77P9ROgPvKDfIi/XKB3Kh foo1ZT2fcVllUcPf0tniXNVzfXKKmnSJ64op7ri3lWPkV0fXNVLUT9bp2BRr 1cn11Sm4AvlRWTmy0Z8vSMH337PIYfKXXP/AIt9fssh/2q9a1BFqyAmuT0zB Xagrmyz62f/aKc7AImEFJ7lVTfnFudhfZ4NcpxaQ75zxhinOOd+CfJNRazjj 7AHrf0rSOc4iD05LkQvUMOoadexXcjHFHcvZPzvF+eecnpfirD7N2UlxH3GO rkxxluirrn7yr32KHFyu9WVtOY9tU5xJviMvTsFH/gIjeyHS "]], Polygon[CompressedData[" 1:eJwtlNdOlUEUhX9m2xJ77yh2o0JQLCg5KHalyEFERMCDGjQWNJaEhMSH8BG8 UCyx9x6jiYm9RaPxxvYC9ha/5Z6LL2uv2Wfmn5m95+Q0taS3hyRJSqEDdLYk 6QLbGFyRlSS/0RuwGZqhG7mu5jlNXEN8EV2Lr0Xfwi/YCMWwkvw5tJZ8FToB fxltwNejWfgEyvFbtA7xJbQeX4euxl9A6/A16Cr8eX0XX40GvJnPrWCsHf0B TbAVv4jcB+JK4t1oKf4UWo1fjt6HWeZ7nQFH4RMshAI4DB9hAeTDVXgfc8dZ YxlzT+qcxEvRJfgTaBV+MXoF3sW5+xkrID8NpuN3wV94GXxvuuM0ubM6N7+t RDvhO5qf7X9NiM+gNfgK9DGkGJunc8BDmIOfi86EcuLTujd+X6Yz6ttwDb8B P4x4uHlt9M1D6FdoFPh76FTzvWrOOOLx5rVTjQ6gf2ATlOG/obdgB2Rgovma Wktjb9QbjO0LfgfqlZ/B96KeGUVutHkvqeav0fX4Nu0DehL3Mr/bNPnvwb+Z iTXPmPeAat8a5x6Jd98Wv30s1k576I7vYd7L6pF1xPmQwu+F68HfQHM84xf4 rP6Nd6TeaOD3e2KPjCEea967ehMjiXPMe1c9m0c8GfLwO+EOTMEXBR/TWrnm Oa1ZQvwMLYT56kv8C3S26gxF+Eex1uqBQfjB5r2hmj/VOL4krlFM/CT2isaG 4Iea95p6qpD4QXwL6iHdxd1496l49pvQEu9gEvnbaG7wM/TGH4y10W+e617M 96499yPub/729GYGEA807029yT7Efc3fkt7Qq1jT1viNbOIR5m9f/yl6q43m tdKb/QeFc4CG "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm4T1UU/XH3SUQJDSpFUSoUaZRKiULj1zxIg1JklsxJRVQazKJCDy89 QwNlKIWSiiakQTImkYgU1VrWeh9/rG/vc+4+557fPWuvvd+rdFeba1sXzeVy C4vkchlss8jlSqdcrjcGDeFfBsyAfy7su7D3ASuBFsBDwCrgfqAzsA54AHgY 2Ai0AroCPwLvAbOBOUAf4Angd6AN0AP4A2gL9AR2AO2BR4C/gA6ZzvM30BF4 FPge+ASYBWwCHgS6AZuB1kB3oK/f9RhwJc5/BbAc/vt+/5NAf/uM3QPsBvoB i4G5jlkCfOjY+cA8YABQCvuVBIbCvwp2Dexq4BL4RYEV8AcDzwLPAUNsnweK 4/mBwAvwhwODHDvClrFN8LwxsBT+KGCYY0fbMvZQ3hcwEn552COBsfBfAV70 ujG2XHcYnpcDXoL/KvCyYycC4zyX5zmuy99vrgrWVQYmw38dmOB1BbaMnQpM 8vPV/q78/tM8x9gK2OMYYDz8t4ApXncp5uqGYsm9i0LPyTFyrYU5Rq6Rcxsy cY2cI9+6AC3NB/KulfnQzfwgh8ndTpm4191c2Z6Jd+QfeUg+kpfkYS+gnXnU 11whJ8lNcpQcnO3n5PhM/15ylZwldyvhvRWB17y+v3lVB3ML/G2KhDhHnqUQ 58izXIhzH2TiAbn0VCZeLDefrjDXyCtyYbS58aLvkXdMrg1xzCDzZ1i2j3Mc k8v0h/jZKO9RyLlRfv9g71HI6cHZPp4VcqnA9/2y+TPOz/I8Jk/zvGac10zw s3yPyZF8r2kQ4ge/F/k7xmfidy3wmknm0RS/e5rHlc2pAj8jp97MxLW3HDPB a7gHeTfdMdQ/cvEj+GfBngl8DP+zTDrCe2yEuctDd78okyb1MWabD59m0j7e /+e+zwF+/p5j+vv+uSe1dmEmvS2GvQ/YjwfzvfYCn4u/YbfXk6P1fMbpjpvn ZzzXJz7XHJ+1j3/Hpz7bfz4f152Mfb7I9vFysc9WDfOn7sfRJd6fzxk/1/jM 8fx9X2b6PrTf2Gfs145dlonf5Da1+lvYZzLxjfPkGufI+ac9pk8+UyeXeZ7f o6Hv9btMecF9qMkcDwTKhHSTmklNWZntq2s/ZdIH6ssqP//ZfmdbjqlHv2TS oC62HFOPqHusBf1s19qnTq3z3uvtP2y73vu39F6MJadWmxt9vS/3oa5tdCx1 ilrW2nO/+jzUu02O/c1+N1uOu3rNZsdusU9N/DOTJvbyfhsdv9Xv6mG71fGF usmzbLPf03ab49t5z7Z+zxafZ7vf19PffqW/7c5M+kudpYZSc9vb7vI8Nfaf TDrb0eMOnqPPPoF1OFxnT4HNQhzY5b16+z07/Xsz127G/JupJ+A3rxoa0yfX mW8DbPfY7+cx74p59kOm/Ga+Mn+ZK+wZDjH3eCbqMjk8xP5Q2+L2S9hnbPXQ mD7nDnIMUdL6PsL+SNtS9g+2z9gaoTH90s4F9gMjPR7hb73D9zba84xhPSpm LdpgDpJvda3Pb/sOWWuZU1xTzjVpjP2xtofZP9w+Y08Pjelz7gjHsBZUcA09 1j77B9aR8vaPss/4mqExfc4d7Zjx3os1Jd8+9xzrvXjGPPuMrRV6H/067n/e yLSmoutTgf3JtpXsH2+fsWeExvQ5d4JjqJ3UUuorf9NxjuF7qvhdJ9pnfO3Q mD7nTnLMWnOUHGQvcbL7icnei2dkX1HNus2cqG4ukUc1zAeeq7b3J09PM3/K hu6G98I7qelvy+9ay9+HNYf1kXWHv+MM/xbOsXa+47PwO7Iec+5sz58X4kwn c4dj1kBys6zfW9/zjDnHe/Kd53vPN3xHHBf2VeTlVFvWS9aFC+2Tq7QcF9ZR 1n7WfdZQ+jM8V8+/i/F1vfZizzOGmsEaM9BrL/bZWHM4zzrEb1nG35N7NvRa 5k0D70ktWGFtWOBn0zxX1Pe13XlJvboEf6v1N7fmArcm9Qh3k0tJ9fRO5leS Hh4B2ylU83+E/T5Uow7HfJkk7SwJe2CSJn6H58tCNW8p7JchnW6G5zNDtfxQ +KWSNHUNn4fq2YewD/oeF8O2D/Ud/FvpauDxTL0r6z1r9HKP+Q0aOYY1cAHQ NtS/cMz1rIXsB7h2b0/A75mUDwOA+klcXuE9uf8av5vvZb/AvoG9xS+wa0P1 uyjW/RuqW4Nhvwj1RkNhyyf1NPfBb5TUb8yG3zjpLLN43qS9q8NWS8q5qjxX Ul6ezXswD86D/1hI7+rCfyKkWafA7x6qRcXgZ0k1ku+s5PdeBvuDf8tm2I2h Wr0Ndkuoxu+B3RWq03/Bbg/V3RawTZK+SevQPfGOPmYehP62vgjP+4W0bxCw MNQvNiCnQho00/fB/qQ25h8J1RXeWyOfjXfDv1V45ht4H6E+50beYaj/eRZ2 kvPlZp491G88A5vvXL6eXAv1Bkt8Jp5nBmyXUA/Zhvntc3UNPeP8bThbQaj3 fDv07Xi2gfBfC+X+PNhrQj33bbC7Q33L7bBFkvqTO+AflNR7NIV/QFIO3gR/ Q6gO3gq7M9QX3Yjnd4X66Vtg/wj1PEcmcYu8mhziFnn1AOzEUF+81N+Nfe49 iH/BudaS/E+qGX2BC5I0uAdwapKudwRWhmrC47B1kjR7BO851HP3gT0nSVt7 AbWS6gDf2cT39XyIH+TGk7D1knS9N3BmUn1oBdRI6m8qJuUA+V8Z/pyQ/r0K Oy2kdW/yNwFfwb8O9p2Qno+FnRrSwOOT8oo5NR72uqQ6wbvK831Ngb0npPlc 19xr+Z57/S5yZ5z5U5N3GOqf2K/x7xz2bMyDE5wLx8JWSOpxmE+bnFMnYm56 SNt5n8ck3Wm3kOZSb4/GXOdQj0gtPMR6eD3shFC9uibp3Dwz9Wx+SNM+5/2H /k/GHN0RytNF5Eioj6QGfxvSYerctda6daFcYh5Rw9aHdIwa/HNIh38NcZT8 PDiJx+Qw9b6cNf+hUG1gXeC9VUm6u7JJ/xNkn3x/6FvwO/weylXmKfVma0hz 2oX0mr9rVSjnme/UBGov9YI15OtQHSGvWUvI7Ttgb0+q83+Gcob5MiyUS/zm TZPiGMMaVcJ1qnhSTjIfXw/lPPP9v1A+M5eXh3SEGrK3TvrumifpAjXh71AO M3+pu8na2yFUw1i/IkkXqAnU139CGsu6kUuqHXfD3pukg1+FuE6eX4m54aG/ Rf4HmIf0fA== "]], Polygon[CompressedData[" 1:eJwtlXmwl1MYx3/ueU6mhZBwi3IlFTctN5VEJHfC2K5lMMOMVLbUiPa6EhFa jD+a7Ps2Y/kjW4WSJWkZVEhRsqQhpMmefL7zPX98fs/3ec/5vee8z3me59QM GdUwsqpSqTRCwHx+XoY1qVJZAEvR7bIHl+I/jO2HfxC2OzwO9fhHYXvBBHgJ VjH3bfgD/Sf8gp4MBzK3FdyC/gfWM/Y5jEVvgbMYuxb/Y3QXbGutlT13GjzK s5Px22F7wvNwIX5f7AeMn499AT5BL4bH0KcyfgS2Dm6H/vjV2DbQKXtNrbUX 1GgurOe/s2ARz0bBIvQ6eFDfyfi+2GPhLhiIXxNe41/YDTuYOwWGoS9hfAD2 VfwKek94bCcMRV/Ms/7Y+fjDsZfiD8S+rhhh/w7HTu/MjAU0ondBM3RTuFmx hpnMPQ2/Y/hM5kJb/P8Y64x+AHrgN8N2hfvgaPwkqxigq7L3pjX2Q+8PfyWf 2WXoi6AfcwdBS8UCpibPOR19VTh2n8EY9CE8W4leAjPwB+AfFj7DjuhrsHMY 2wBn4l+NPzv5DNrgj8ffg94NzfFbZH+r1lzI2MRwrq2F9owdnr32TFjGWAN8 iN4ID6H7MH4Aths8Aidm50IPeA7uD79LObgAfXn2t47Bfw17dnastOdp2N6K UfidK7UWvMnYl/A7ehdMSq6BY7LPQLEP5XB2TimXmodjey92YXKMG/DPy86N TuVsZ4W1zrgW/1yoReeSi3djO4Rz8hz8xdh3tDb2NjieZ63DNXxBds2r1vtg T8quMdVWWzghO0aKzcHQN7sHqPZbwXHZMVUsW4b3cl14rdpy1ndi24fP/Ar8 J0ot1GOH4w+D6fhnKA7oJdh38ZvoP/jdYO9wD+quXC+xalpif2vZi86gTr2l 7GWfUkv3hHuDaqoL/pQS+6pSm3Owy5JrVGuNCK+tNV+Eodm1r56yqdSUauk7 9RvGngnHrjcMwX+q1O7gcK+5o8SyusR+eomlzkC1Pxv7fnIPWAefwubknvh0 eefgssf39C3hXH5DOYb+Cr5NjuFG9E1lb3p2vWIJy5Nzagv6axiH3grL0TeE 37UiuVZWhHNXNbMd/TP8iJ6omkDfCG8l1/Ro9Efh/+qZanUerE6u2Wr2PjZc +7oTvkBvCPd67UG52Tm79ypH12LXlFpTDJQLXbNzWzmxA/treC/b4Tf0zrBW jf2kvcKE5D03lpxRrqjnTS45oLNXzzsl+46oKzk6KPtO61VqSLW8WjFOrump JceUW7oDxoV7lHqTemwH9JHZvUw97FD0pPDdqZj8gN4mkvf4ZKmJ+pIDz4Zz SrmkO21V+E7TXaY9bEV/D+OT3/EK+srs2tEd9Y1yIXy2mtNEtZN9V+iO+B/R 3/iL "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl3m0jlUUxj/qPW/znGaFKEOleS6NGpcypVVrNQ8Ily7hJlNFXbmmq4EU yRQRUprThEg0SCKhgUqlorme39rPt7p/PGvv95zznWHvZw9fres7Ne9YvVAo jKxWKGwjeXgqFC4QRmWFwj+Sfws7CIW8UKgm7Ch9sOb6CH2FB4Te/s40n4Sd tWaIvvsJ/YUKr+V7V83vJuyuNdtJ5sIu0reRrC7sJH2Q1t3lffdgrbCHxj/X 9wve71CN1RH21/ghkgcL+0pvJNlQqCm9gWR94SDph0seJhwofajvdbdQW2O1 hP00Xk+yrnCA9J25C3eV/rHWPSPcK6wW5mZhgx2wh7BrircN8d3Ye6i/99Tc R/79Xt5rpu1R4X26+S787iKtuVC4R3qpbcbarp7vZ1sPrmJ7ZNFmyHLhaWG6 cEcWe7En979fuFPoJcwRPq0yhrzPc+X+7ikMFAYIPSzZp8xrmVsjvOj31sTe wj46r4+wp/QZGq8huXce9vhB2CRsK3wtfCNUEz7IghfcfaRQS/qDksuysPE0 yREeHy75snCw9Jckf5H8WUjCFmGrkKdYW9v7bJTcIFQXvhO+h3eeP9Rrhks2 1z3fln6+9DopzmSubop7zZC8TGu+k/6Ix4mXOt5rhMfqebyx1g70Xpv1fQg2 kPyJbyETfhd+IyaEL4X1xJzwqbBC+EvrV0muJialfyY8Z3+vEp43D/5krbC9 8Im+Z9lH++KTPDi4P3zHH9IPhO9CDekrzQl8/4E5BDfXEHvCP3CMfYUnpH8I t4U/zIuZ5ga8mO1zl2l+Ke+T3kqypfm93Ov53XLiQvjTfHzW3FvhfdhvrebX Cf+aD9McE0uFqY6V94WnhNuzuF97obvv0dOc7ev5UsdTV79xN/OPfbnrO8LY LO60QBgnPC7cIrSFb8LPwq1ZxG43x1qzFDE8wzHXo0q8dBA6OtaQnRxryBLf 8TavI647C12EFinGi/HXw2v7+R28oY/X8rYxwsPmJj5bKIzPIodOt1/h1ruS T2bB07rmP7x8RRgmvJZFnMF5Yo04I689KjzkMxrod/XN83dsp/a22Xi/Z6HP 4V21HZPEyF1+N++cJ1R6z3LbhXnqwVL7lTqxzP4mdyyWnJhFfcL3U7KInyWS k7PIBe9JTjKHymx7/EE+Ji+SCxZJTrC9Kv3eh+Gq4uKLLOw0wT5b7P1K/Lbx flcHv5E11CF4TCyRB+ExnP4wC152t43GeQ9ie77nkGM939Hnwo8ajufZPqvM HChyiHft7biaZc4Uz1li23TxeT3NoSIXy8ybvuZRiW3fy77p7e8unu/tcydW 8d9kzxMH8ItYgJfTPPZ6FnzCvq9mwTG4BXfG2PZwCm6NzoKPj9gXlZ6HG+TO H7PgaS3nY/Z5wxxiD2o/NQm+LvI9ue9+znHkTWo8eXOu7z3FNgBwrdSY6neU 2O+89T2/F/2tLPICOYHegv6AHuUg9ysv+t5j/Db6FXI3+Rpe0ytxxljJZuLb eumtJfvr+5IUb3/Ndrha489q7Cfpc+gRXE++FdZ5XQeNnax1R0m2kWyfwvaD JI/Lo7/bqO+19sHX9g3n9NLcc96/o+SpWn+05Ff22XCfsc76MylqIXWwk+Tp Wn9sirxOn1OMM/ofYm2guTnAv+d88kCJfnOmfnt8ivyC34YY2K/Cfp1nW1bY xvRA1Alii/hu5dwL75EXOw9vES6V3i6LGGzm8Wt15mMp3rNJaE5P4N+2cp3C z0vMEWpXC+f0y1LsSZ/QWfIs7XWiz2/mOyA5D/1u6dOEDVnUbDhYbszxO67R HqNT+OYBc2SQ3znXYyNT9FUzzLs3s6hJ+GC9bQTfF5uzLf0W7jBF8krbYb5k mfBrFjnlE/vnuBQ+LPYOy+2vvXS3Sr+H/ugq90hXSg5NEQcnpPAh+a6N5KQU cfGWZOsUdz0mBaeW228r7Dv8udpvJe+2TZF7T4OH6f9+Z6Vthm0+s33OgHtV 4nmVbXVSCp+Qi08hLhz/l2v/iSm43wTuOW7Pxo+O28YpYuhj8/0rc7aLxs7J Y6/uwhF59KC3C+flcddzWeMchG3etn0WUHOFreY+fqbOfpnFW4eZ+2vM/VKt bZrH23pivxQ+7wo387j3HfAwj/OI0Y3em/02eE/i7xvHILFOviCO3zBv5pk7 2KOyyjc68fe5Y26t78qe3YivPOxF7BA31C1ipqVjhFpDvFCD6DHIPfQJoL7z O3n4DPsO8FZ821TysBQ9Cb0EPe94n/Obz6Iu87+BGkmPQW9IDSbHnmbOwNmV 5i3f+Ace0e839f7UE3r9EbbZeSneSA4/23wgtzcxT+AQ/iduT5ANBktvmKK+ nGKOsQ7/wEdqEP8zinFJv08toV+id6YPoJeEF8RLqzxqAPn/Vs8R48dqrNx2 2erxdpa/WP/VOr+jJ+L/OvWMHMZ/Auoc9St3bhuVIu/g25rmLvy7SWM355ET scdm+/3+FHUFHg1LEf9wmzvVsz05f4vvM0BjV+TBzduk3yj98hS5mVwJJxm7 weNjUuRlYu56yadS5NoW5lV3xwd8h5s/2H/4jnzMueQlzmznmJhgH9ADTPL7 O5srcIg+6EjzuNh/4Ztij7bAXC72Z4zT1/B/gd6G/7i9nZP7Sk5NEW/3kevy 4Bq1fVyKuLpXcnaKe0+xn+g7yM2LnJ+v0/qZKfhOf0DfSx9CDujhPIBf6SFK HRvEQAffcZPfsThF3oEvk1P4DH/RjxCDj0k2Io9ZXyL5fooYY76BxxtaJ3Yv MN/R6XVPco6l16UGkNNZ28i/ZY48TL4nlsgZ5PuFKeoEnOd/aWPn2832K3x7 xTr+rdD8iXnsyzryM/0FtYSaQt9BD0yNYYx7UI+ob/TP1DbqGqDGUd/+su/n O47aOtb+A2+gqng= "]], Polygon[CompressedData[" 1:eJwtlncUj2UcxX/G+32sMkL2DsnMJkpZZRx0Op0TKkSoaO9xGtrrnJz2QihC VplJoiUj2htFRqGijPS53fePe+69z/v+3t8zvuOpO3z8oHFFC4XCFFAczI5C 4TmwJSsUdoJL0FkqFI6DN+IXwZXxJ8Bz8d/At4Mp6M1gJboxz2vAS/C3wk+A NegD4Ev01+BI5t/cgn4f/In+C6xB3wxeRq8G5fnWpfg56Arwu6AJYzXhpYy9 AzfEV4cX45fDdfBV4DfxS+Ea+MrwAvwquCm+FrwMvxiugq8Iz8O/DdfDV4Xf wq+AG+CrwYvwS+Bq+ErwfPwyuBb+RHghfir8DPgJ/TO4H92C5/Xg+uBb8CP4 l2evgF/QO0FRMA1fUnsNyuFn4Y/BxfBl4JnaI/gfUAK8ht+rvQMBXsUf0rdB KTADPx1+EKxEbweb0F+Aw+jJYB36U30TPQlMQ98HVmhu4G70s/l6+mpPwIXM pz+8j7ER6KfRn6EHwsfjKySf1WzGiqNLgOPxr+Mfgk/FN4Qbgeboe+G9PKsD TwTDGRuQx8w8+Lb8v/aAoskxqVjUniT8SK0h83/MAS+CrfhdYCb6At7pF/7m RjBYMZd5zZ+jh4APM+/J+egPwrE4GvyAHgo+ynxmU9Ctk+feCzwfPnOdtXKm Es+eyvdDOTIanMtYH3iCzhxuhz8F7g1eUJyC/TzrobgHLZNjpSd4KXwmOgut aQDPJuG3oXeDo+gRYEPmM/9b+wfWZ46RMrw/Ct6UOaYuy/dIe6OYGBvOeeW6 zly5qJxVriondfb3gF8zx8BC7Wf4LHQmHfj+fPxv6OY643zNWusO8Ci6Le80 Ca/5Y+0lGMOzg+Am9GrwXuac/wM9DKzL8phWnIdrgX6zTfGn76AL+l9wMfhE saZ5govA2sw5tQv8Hn42PXOs3hmem87oEfTc8F6u0hp1luFvT8VPyGO0Tn5G 3dFXozuCTvlctoMi+Zx2hHNauayxPfkc9N/F8rntDmvNUWs9oDjO13wwnOPK bY3tD+e4cjvL17ovrLXmZsk1TbWsNtwqOUYVmw1Af/wN8FmgOzgZ3xecGa6h qk0P5O+qRi3IY1Cxp5xU7D6JfiNzDLdJjmHFbmMwGQxMri2Kya3hPdTeHdMe h2uOas2hzLGzXnGa57Nit8DvS+cxXCS55qnWaaxcck1RLSkfjuWyyVoxrdwv hS8brgGlk2uoaqfGIrkGqfaohx0J10jVxpLwXeDG8N4tZ+wOuGJyL9OaN4Rr pGqj5qzasTm8FtUQ1YYt4bWqRqiWfAeOZq4p34drvmq9xvol9zD1Lp2JcvVw eC7K2bU613BujAWjeH9Y8l4NUg4ln6nOUj1sDDgvuTYrP3ujr0V3AV1BfXxP cFq4h/VK7mnqZXqnJv4M0C7cw6SvhNuGx6rju4I24R56enJPVS/VO1+Fa4By Xz39pOQ56L/Vk3sk91T10s6Kw+Qerd6sHKqtWAQdwj37HPR1+h/NJfzsKrh9 +J26yTmo3FOP1tquCX9ba+yW3JPVi/Wb9vjH4WagabgWPZZr1ST1oofzWFZP 6pN8h9HdpRs8FD8kudap5yl3rg8/Uw4NTn5Hz9Sv1Bsn5lpj6gWXh3uj6o16 0Yzw2aonNUpes9aqO1PH5DuW7lYttCb8OLiV5grOTr7z6K6jPeqEvyL8bkud YfKYtO40XZLvLLqrtA6f5fiw1pnOCvcg9R7V+M7JdyLdhfSfVZPnoP/+/84D RibHomr+f0OoVIs= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl02dbjQEYwPEnhGyyiyQje0t2KLz10ksfgK9BGVnZIzMpKitky96b7FWK BkL271znxe/63/d9nhfnXNdz4uctmDM/IgiCyyQQmiOJoj8ZNHGM5KV5pK7S UdqUZryyj9bVOkabE8VrewvN0pb6TJP0grbVXdpGd2u7iPB36KR7tKPmame9 ot00T7tqvnbXa9pTC7SHFmqc3tC+ekD76EHtpzc1UQ+Ffpse1gF6W4foMR2s x3Wo3tHhWqLD9ISO0E9axUc2MdNtNrNYad/Iac5wiruk+WyFbuABJ0l1W65P mWSezCCO2gdqsd5ihjlT13OfI0x3W6ZlTDT3JoFeFLnF63WN1f0ao/v0KtPM S7WSD1Swly7uS7Sc97wjh2j3xZqil/QJj5lgX6fj9a120PYks9Y+Tt9oa23F WNbY73GRF+zkOTt4RCmNPbc99C7qNm2k54Pwy5ktf9nKP87xkC2cZTNTPTeF dPNv/tDAL36yiG985wv1fGUhdXymmlpq+MHcIPz/+A8jnmnO "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{331, 330, 334, 777, 768, 769, 767, 771, 770, 676, 773, 774, 772, 776, 775, 677, 779, 780, 778, 782, 781, 678, 741, 838, 728, 766, 704, 764, 703, 765, 675, 333, 332, 331}], Line[CompressedData[" 1:eJwl08lTz2EAx/FvnA3ZIkqlsi/Z1ywxkrJkKxKyXMxw9Q/4B1xcu0mUvWyZ sfshazKkso29BVkbM17POLzn9XyeQ4fv7ym1bE/h7rgoimI60COKSo3LPK+R PaPoG0cwU5t0zi7hV2YwXRt11t7ALxzONBXrjF3ETqYyRetVa69jB4cxWWtV Y69hO5M4VKt12i5kG4cwUat0yl7JzxzMQVqhk/ZyfmICB6pAJ+x8fuQA9tcy Hbfz+IH92FdLdczO5Xv2YW8t0VH7oOKdL7FL3/VDFRrl/gp/6pd+65C2un/K qxrtfI1j+IzjeJ1jOUHjVaq37ipV5nyDr3VBh7XNXRNvaqJzjFncos16Zx/R dudbfKM6VWmHu+e8rcnOUzRJd+yLqtZUe5r+OHerRTvtZs5gPafzLmeylbN5 j7N4n3P4gtl8wLl8yHl8yQV8xPls4EK+4iI+Zg4buZhPwt9Xcng3SgnvSmnh 3Sk9vEtlhncb3nD4LcK3Dt85fNvwncPbUi/99d7b1Kx61ala5dqvfdqrXXH/ /z/+ATccZjs= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0TVSRFEQBdA3/BncLWdJULhDggzzB1sBS2A3xJCQ4pLg7u5wfhGcuq9u 8Kq6u2k43xKnQghZRqMQRlimOR3CEjkWiZmnPRNCHwP0s6BrZZU1VthgnTa2 2GaTXXaSP9jngD2OOKSDE0455pwzOrnkigtuuKaLO+655ZEHunnmhSfeeKWH Dz5555svevklmOdHFshUMqd3WmaIKKIwmVtfIkspppyyZCf6SllFBTVUM6iv k/XU0kgDQ/o5u55lhmmmmCRPTI4JsowzFv3f6Q9kIj00 "]], Line[CompressedData[" 1:eJwl0ccrB2Acx/FH+Dv4WYWLvffMSFmFm82Fu+y9RzmQvYWDVVL4J/xDXuXw 7vX9HJ7TE+kbbxuLCiFMqD8mhM3oEHa1rwMd61zXuteTnvWuD+V688lf7bnf 9aaO2BDu2M57dvKJu+pxD/FVN+qzb/moHXXbg3zRlXrtaz5oW132AJ/V6m5T vbbsWm6yjpes4QaruM5qXrCSayznKit4zjKusITLLOUZi7nEQi6yiKcs4ALz OM98njCXc8zmLHN4zCzOMIPTzOQR0znFVE4yjYds4QdTOMpk/jCJiWrWiN3E byYwokYN2w38YjzjYv//+A8ACTow "]], Line[CompressedData[" 1:eJwl0DlOgkEAhuExwTMIoiRWWoBcw8ZgfgoKKQwCBRpwxe0YLhhuYKFWGqOF SqK4IGjvchWfhOLJO19mqpkqNaL6SAghz3oshFeO+GSDAZt8cUx8NIRtHdOm JrSll+xxwz63tDmjxrx308xwb+d0RRc0TYYHe1ZXNauTpOjYi/qoB0w4l7Sg p7rLuPOOJvVE/9jim19+mHN3rRWtssyV3eCOJftQy3qhRT3XPB/0eaPHOxFd XnhijefY8B//AaxyLVE= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl08VuFUAYgNEp0BZ39+K6x92KLUqClSIt0gW0eHELL1D8EbCEBELQosXd neLu7nAmLE6++efOXdzM3JTM3LSchBBCEdmJIUyikKFJIRxhLoXM4yj5jEgO YYVuYD3DOckpTnCG0/EcGxnp/CbN1FU6WnfoQrYyzjyRCWwzt9MbepPrLOIW q6nqs8VaRZfoGoZYZ+tmlrKOLHvjmWy9lmrW1dlp3V6naAetQU12mTtqjnbS WtRmt7mz5moXrUNd9pi76lTtpvWoz15zd52mPbQBDSkw99Tp2ktTaMQ+c2+d oX20MU3Yb+6rM7WfNqUZB8ypOkv7a3NacNA8QGfrQG1JKw6ZB2meDtbWtOGw ua3O0WUUuPN8lpPHlvgW7FdypjLlqUiFeFf2y2o5SlGG0vH+7CdrSUqQRGK8 B/vFtDh/rRM0kGX9mz/84Bc/4zvhG9/5zFe+xHfCRz7xjg+8ZyxveMtLXvOK MTznBU94xtP4/njEY+7zkAdkUMQ9bnOXO4ziKte4xBUuk84FLnKW85yL753t 8Xt+YwbppLHS3gKOMZ/jDEv6/7/7B2HAdno= "]], Line[{1475, 1432, 1436, 1437, 1438, 1439, 1581, 1680, 1847, 1679, 1845, 1678, 1846, 1700, 1844, 1676, 1842, 1675, 1843, 1699, 1841, 1673, 1839, 1672, 1840, 1696, 1716, 1670, 1838, 1669, 1718, 1693, 1709, 1668, 1690, 1667, 1878, 1877, 1641, 1876, 1689, 1701, 1692, 1887, 1691, 1710, 1642, 1879, 1671, 1702, 1695, 1888, 1694, 1711, 1643, 1880, 1674, 1703, 1873, 1698, 1871, 1697, 1872, 1712, 1713, 1677, 1475}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.32499999999999996` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.32499999999999996` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVte2t9EQKypqrETUa4lRRGMUS5Rlr9hj12iwexQb1misGLsCSjzI UYzdoGIF64sNEVFpSlUpgvQioILtnm+M95n7G9txB9eTc757v3vzF+MZa83N /u299lpzrrnmW99+9pDJJU1MTL4tbWLyf/6u/Om9taVTjOHHG2sM4zp6q+5X HR56DwsTrlTy6qt1dv7CIy2XVjl1/rAw9qN7PY7x63Jd7GHsYexh7E2Pv44Y MjlI7GHsYexh7EeULTdjXvcwsYexh7GH/ZNKPB6bcFZZXa4x7bvhkWrsLM/6 ZYMDhdPyxqfN/fWhMP1LzG40xXTaY+kP0x+mf/r2WqeTO8ZLf5j+MP2Hzaj3 zd1bidIfpj9Mf0O3r7xPDkiW/jDtX9exbrEjIkXaYdpdX7Y+sXhCuvC7B981 H5eaqRI8bFZPnRVheLJwX4UWE3cpO0P/wfk/3Rfm+cMHN4zt+G2Hy8Ktj284 XKaii7qeYJ46/N5DVc/bPGC353Vh2t12Wj6v+zRa2VXb1enSihBpXx/61a9N TkZ9xPTHfmZvq6SUnKfSDtPu+c4jd+SqBOFyEfvndCqXJOzofSy7vutz+f+0 w7TT/8mGUw6lvkwT7j3RNzPtQIboo53nre9/uqNh5oPm2TJeeV6MV5jxCvN+ 9M9PP35pZ7zonx/9sWe80g7TzviEGX8w443nBdPOeIMZbzwvmHbG327Tt65u m8LUpC2Tty/0SlJXt0Y6DvH1V+06z9+qrqapZdtmLB81fouhZv2M1V8POyRs tnDL0Wfrw1XVwc9KPZ18VI1c987ObVOWPD/e12f7nW0CK19RWV4v750qmaEi rm3K/OxSjFo0cEeTO5Uj1Deb3SO7LokyWJ04Nsxqzhzlejy02eYfHwoX3C+3 4mGfEOETcU4HOk0KFOb7gOc2eNk3uPV14WlBQQm3yp0V5vsp9/XeS9njL8r7 h9Fns9D5SuMB54Sfxnhd8J1rEPsWRWlRG4beFnuY/jfrPRt9MPCmsHtY7kiH 2Dtin9His/Qtl4LFHqa/w7oPw9tm3Rf+zWNdUxOTUJkv6A8z3/I8eT88T5j5 BXsYe543/XneMM8bRg/2PH/aef4w7z++ye7Dx92jZDwzf/A9we0Tb3Tuvz9C 9ewVE1L3abxw0ZkfKrs0SJTxxXjjebF+wqyHMOsbzP3DjBfuj++R78W7XsIg 02nPpJ35kPuHud/t0SNcjrvHyffIfMd8Ahf1m3bf8Py+uj9lZqUxbVJk/vL/ xZCxwi7JlvkLZvzA9K87YOKhz+6Fy3wH0x/me4W5Hxg98BPzVbvSXsfI/Obd 48q2qg1iPlqfV5btXGPgh2dqyqm9Vw8Fh8l8VbKM78wm4bc+Wg9vNHi5wDcz U/kVBvrVMotVVqWPjijRPUL9HDF4W5kx4aooYWT2mYwk1fn55nvR12+rK1MP D1/7/O/z07V1NxZ3jrCttDbydNaMjcLRw9InzA/YJxwe43x/1Q4f4c4LvY6M a3ZFeMfQSYmhmbeEAz3nBne+ECC8J9Yw+3SZYOEOa3pOme4QospHWS4yeX1Q nR5nUTMmKFzazW2+n9Rq5SPV8vG+Ur+UjzLQvmPs3Xe9HjwUzq9b5Xit2GBh b9tFvc+pu8J8b/CcW6aHR466Jjxz/cmm566dEy413vHnCwFX5X4ut3weHB17 66P769015i/draKFn6X8aP/GOUa9PTpqXtsbD6S/+7DPrkfXCRPu4HK5StnK kcKPqrha9O4f89H1LQtSplewfSr8+F7blgmD49SuuuUNp3ZFqx0huxf2mKC1 Fw598236VwnCvQ7bnvSPTlDdO9m33OoVqTpe2fa+2zcJap5dt9wFdyPU+KUD 5/xbjUTpP7F5yTMPvJ8Jn1rZw/r3iUnC90qVbXW2/XNhi9F2x7dlPFejQyLj 9214KP7I5usuJTO6hao+psmBE4Zr/dvGVTq163qqsNO3Q60cF2jjb9+F6i2X 98sQzjYb/fvI9xnyPfX2j9i8p16aun/1feqseM1feV9j01H7ftfUWi8T12pz NPvyrnVO/hieJTwqeULTTr9kq5JbunTxqLxP/JvWO34yXVIn6Sr+C/1l/jOy zH9GlvnPyDL/GZnvG+b7hvFXzNS29B0rosR/wb9Zv6JJ0+Yl4qU/8yfMfADj v8TmTN5uv/6B+DPMr94BtcdOCtHeh96/6XpqSL/n9bXnh3/TpNv08s1WPlRr q8y6OK+yNh5GZGQceBp/TFncOep2Jczro/H7ZFp4xvi/z9suB03fF3o9Us4z XM9etnimto877dUo+p7yiU6MqTgoVRW121zd6U2g8qrr96BvtTRVauLEtkmF Z1Xql4ucW6RnyvUOjO2f1P9VmApq2/nJ9E075XsN8o1Y1jPhd5Vq7n2h3YEs 1Xtfk6l2d46LP4U9/iXrE/a+jY/eyFt5TgWvc6xd/XGmCk/odTPk8SXVpkuL aXYtMjV/WKeP9XhO8szMgWbnxB/MuJC01q16rPizHqP7O5w1j1UVvee8Ph/7 SM076NW5+pEYiQ/cqoeO8nKMUTsujx5Y4u/rQscW8wLaTIhR3WdMcnwwJlZt bfDD/JQZ0bIeVkys8NW8ftHq7dbZnaKbxCnLv/XrujxR8/+9nJdW/vl6iBrs N3zR/cNaPBAcbV7P3zlb/B3WuwFml9OmJ0YZWt7e1NswzNP2C7Ml/haVNF7Y /FStya/Chb2b53c6c/ehMP4P16sy0Mr57ZkQaY8ckDrzxNNg4XlxXVdmb7sj nBYXELCp3V1h5msY/4jrezVoP9uy7A1pt2lwpvHqCdeEs+72dP/a/rRwQtCQ ZvZnzgnzvYu/anyfu8ydve6WPqN9X57Dk8rG+sn8IP6psb0gc2LoosM3hKeX mhe/+0Og9Bd/1Ni+d+iK+2Xv3hMud94/y81Z80fxD1p953rsfbK23rm8jxoV nBcuzPOm/8vlnw129gmRdq/VO0z8198R5vnRf96q51m9zG9I+yTzNPdHQ08L Mx/Q3+T5iazo0Zdk/Ptl3KkZ6HpbGL2MZ/QtrTQmsXrZKOGzFglpTc7FynzE 9V9nLmza2+y+XM/jTP7kIYXaesl8SP92re86OLeJkPYJwS3tHKNiVM7kpmvD folSa2ef2BMVHqMsTd/dOX4sSu6P74f7GXB9WvzT2k+EezxflL84MU7dH+i7 1yonWtnWDEl5aP1E7PGn6e/c4dLs7920+fmk38/zx81MVFa7Br2u+WOk+N/l nL5cUzQ7St2pcH/YokHxyvzXrf0/941Qgzv5ub79OlGuz/rJ9d5UvZ7Vrq62 Htdyd3rRpSBJ+vO90z45M2BWnSPaerBm/ua5jX9OUcHbm7ZvXSNM+QQX/fAk KFlb74zrJ/0f+D/IKPGNtj5n2rnmlCudLv0lPjC2t/d89JfkC+naetDYfXb2 tky1cPLUStV+9Psofi1t832prRUy5Xqsv9jvX/I4LbBrljLzavb6w+e7lb+V yxA1OlstvPPjV94VIyR+IB4ovDYoZ3GnROXZ515cnSE75fv22dSh/aLaK4Uv B9Wus3jLQ3Wq1NfujUsnqe6NnueOd7mpHv2QXnnT8XRlWtTox9vRgWpc8oHu 3nXSlO2999fKb4hSpWs17Vvrm3hlYrsrL/eHYMXzZH7qEZbaMm2wr4F4ASZe gIkXYOwD6gYl1Gy2Xexh7GHs4cansrs99X8s8cM3PoYBjd8kCD/Y+cub2CrP hWc5Djzi2jRduPzQGsP6ds0Wfrgre6XJ8VzhhuuHRsT45gnPX+TT3OdmgfD1 KRZrXYJfCVceviJ6Vmyh8IQeiS37pLwRPtm61y8N898Jf2jw++MPHz4Iowf/ CD0wemD0wOiB0QOjB0YPjB4YPTB6YPTA6IHRgz+HHhg9MHpg9MDogdEDowdG D4weGD0wemD0wOjh+0MPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MHr0+9P4z+iD 0QejD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9+P/og9EHow9GH4w+GH0w+mD0 weiD0QejD0YfjD59foD4Bb0wemH0wuiF0QujF0YvjF4YvTB6YfTC6IXRC6MX Ri/xBXph9MLohdELoxdGL4xeGL0wemH0wuiF0QujF0YvzH7W2e/rP6rXPkf0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPqnXztQzXV5ruiH0Q+j H0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9FtaNxn2+fUXoh9GP4x+GP0w +mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRH+b++45FpfJFP4x+GP0w+mH0w+iH 0Q+jH0Y/jH4Y/TD6YfTD6IfRD6N/fekW4al9C0Q/jH4Y/TD6YfTD6IfRD6Mf Rj+Mfhj9MPph9MPoh9EPo9/W8XTVsdtein4Y/TD6YfTD6IfRD6MfRj+Mfhj9 MPph9MPoh9EPox9OuD3mdd/sONk/W3mowcESf4/bYEun9MG+lqnClyeeee9g kyncfN+Vh1UO5wgv217fKuv0C+GgFU6r71zNF649OzXyQOBL4Rk/9G+x8tFr Yd/+p5zGJBQJl+lULdYm663wCKslraoUvRdGjz6fzX4ATLzP+9Tn84nP2Y/R 5++Jnxkvsp9t3O+rWD6xYFRMjvDNRVPaBNV9Ibz4Waqj7aQ8YevBs856H8kX TrySk/dvmQXC+vGGPsYbzHiDGW8w4w1mvMGMN5jxBjPeYMYbzHiDGW/696Hf byc+4Pnjb/K88U94HqzXMOsXzHwOM7/BfO/k/yvkrdxcJjhb9jfIj5LPXBuW PeDeklTZT2F/m++F/TfeD0y+2K7kb41dGsRKf/bD6A/Tn3wrz4f9JsYrTD6X fCv7jW1jPKZ7j/WS/QuY/fc59WJb1e98RnjrglWzLNv/ZmA/lP4w+x/sf9IO 087/h9FzPubIwYVeT+R+axelPEjJSZbn+VutpRUa9sqU/AD2vA/GB/0ZD4wX vk/JVxmZ8yCc36A//j3vl/MiMP15X+yXLPAc6n4x9Knk/2ln/4F29PL+iA/R g3724/T7Wf/ZfDnj5z/KbzM/0M78ADM/wMwPMPMDzPwAMz/AzA8w8wPM/AAz P8DM3/A/Kz+/uVmo9YE/kJ8PvRhT37/Q2wAHdV69LfzWIcOlrxrbfFcvTvbD y05zvjj6arzwqFJZCbltnwkf7jlqauVHScKvnp3bdmRginCPRvW/CMhMFd55 Y3nH8VMzhBM/S/X7+fMs4dohv+VvVDnCnedGnnevmCs8za9Uvyn9Xghvn9Cx wsLaecK+J2fs6zIiXzhuoOfEwY0LhEvtvf/qy4kvha2V6UWrVq+Eh29tNeC1 w2vhn62nmZexLRQ+sNztQNjSIuGgOkFTEvu8Ec6fWVR0Yt1b4S8rtLxyddg7 4e5jfxi80eW98Iy3rlXdf/wgrM/HF5dvLy5f/qn5bn0+m/HR0aZKjf0ncoQT np4JNy+TK5zz287h1fI0drNr+8UauxfChyrVcvulbZ6w3YWLQwu2azx6mcfD wp/yhU0a27pOfaixeWrdajP9CoTPu1wLjar1Uhh/Ama+1edPi8uPF5fv1ue3 me/06zf5UcnnGddzOY9hXM9h1nOY9Vyf79Xnz/X5DX3+4o/my/+f55eNz1PW d+PzqLguttuydeeE93xf4tfgkbsN/9vzz6zXrC+OuaMD3k96KvNJ+RobN1e3 SvhP5zeJj7jeiBEF5jaBiWJ/tGBw+3vdkoWJn+hf0ObKlYz459LeK7xW8pox adr5J2N8RX/XL5xm7C9Ml/ak0/EuHeZr6wHxF/13LTlU/ngZbX24HhC+d3EP bX0gPqN/yrRy9uu/0NYLc992L4cO1tYL4jfJB4908J1YT1s/Jhz2sGsxTls/ iO/ov65XaEVlpa0nJ9xM9pebrq0nxH/0f2RjM7l2O219ee80qTDJUVtfiA/F P2nsfqmgm7be2C0IGHhtpbbeED/K+6/2vnLIQG398Zhkdchjs7b+EF+Kf2Nq P81rjLYeZQzd/nbRLm090uevPzUfrc8XLw1yrukyQcvnFntexjgfEH/y/a/7 +sXZiMkau2WE2cQOypX+xKeyfrktyO9zTJt/7UaNWDhg5wvpT/wq61nJwm8v Z2n2Jv7R5/yi8qQ/8a2sb7OXzbf+VuPzrX4oaGVZIP2Jf2kfG/vhtOcijWfs jW990P6lxAsyXxWTr9afF4qcs9ZgaBKrfW/F5Kv1550+NX/N/cetGPRqupm2 n47/jz8P47/D+O8w/juM/w7jv8P47zD+O4z/DuO/w/jvMP47jP8Oo0+fP4fR B6MPRh+MPhh9MPpg9MHog9EHow9GH4w+mPiC84r4jzD6YfpznpH+MP1h+nPe kf4w/WH6cx6S/jD9Yak/MMaLxJ8w8SdM/AljT3yGPYw9jD2MPf4l9jD2MPYw 9nzv2MPYw9jD2BM/Yg9jD2MPY4//iz2MPYw9jD3xKvYw9jD2MPbMZ9jD2MPY w9jjj2MPYw9jD2OPv449jD1Mf/x5+sO049/LfqyuXgyWeipdO+cLpb5K1855 QuIZmHbOD9Kur1chPsL/lf1y4/3D+K8wz0/fznrN9ViP+X+stzwP5le+d70+ 5huY+QRmvkAfTDvzA+36+knun/cLs39G/Qn7q5zXZb2mfor1mXbmJzkPbuzP 9dk/5Prcr9QHGZ8P7dw/8RHXh7ke+5/sV1KvRDv7pejh+uxHwuw36v8/6wXx h+yvGln2V6kvNI5fyU8YmedFfRdMfRfxCNeHuT7xB+0w7cQbtMO0E1/QDtNO PCHxqJFpJ36gHaadeIF2mHbiA9ph2okHaIdpx/+nHaYdf592mHbmG+YDmO+D 8cB4ZDzo683YH2A+kPO7xvHO/jJM/oDxIfVvRub/8/3x/xi/+v/PfgP/X87n Gv8f+9cw+QjsiWewl/O5xv7Uu8HUu0n9onH/TeoXOX9r7E/+Baa+E3v2Q7CX 87jG/uyvw/r8CPt5Uj/LeVxjf/I9MPkB7InHsNfX75E/kPpHY34De/YLsZf9 Q2N/qZ8wMvkpqe+jvsXIUt9iZPwjWOpXjCz1K0bGH4HxL2C9v8B6RL3mIUOg 6ZhzGrN+s37RzvyqH4/4E9RbxrcoOaXTRm091K+P+BPUd7p5OB08eT9X/p9+ /cS/oJ60X9mySfWrausp6z/zLcz8Sj0s6x33Q71ox+QbTgutNP+H/089au6Q XrdS5ryQ/8f6zPdJfTLrBes7/5/1h/ujP/asBzDX39rI7E0Hy2C53vYXoy3M a4d/FL+wv4a/pM8vwcRrMPEaTLwGE6/BxGsw8RpMvAYTr8HEazDxGky8BhOv wcn5dyL2fRcj/o67Z/TntUvEfuTf/KvqT7F3+n1yXbdNmn/dy3dB/yOZ2vhp NNn1bSerPPXSz2yqbXKMKvretKZ/7VCVfHZm0y5FIWrPjfnW1y+dkP3df7R+ 9H32DJdWNSPV1e5dfa7OPq9qdl/gMTEkUnm2sWo1wulysfWlTa7lWu+cGq2e eZ+eVnO2f7H1pqYlStXasS5G5e60sWnW4kGx9afF1Wv+T6tPLa7+tLh60z9a T/pH60WLq/+8WLhxXOPk0zJ/JoSdPBB7K0Dmy+RBPkeKosI/incyNrWstvPK KfGP2e8rrl70aoWBFVcfiZL4h/n1xJOWnarYF19Pqq9/+tT60k+tH9XXh+rr Qcud3bu9T4qfrH+sn8E+23re6pKrOl5+0CtubbCsd5Kfqbe3tdf2F2qG45Kc n+0/Xp9jm82J6HktTz16GrzuoJ2PwbRfyd4tzHLVkclH9sbuuWuod9xl8JaR L5TD6bAvTFs9Mjg0LHu76s48dbVfo2Nzq96X93G2ZnWHgZcfqFlDGlWa2TH0 anH1qfp6MpNCqzPWZTwNm30ajms5Pkcda7TU89W6G4aoozvvrTqbq0x39684 Lz/EkNr8eFuf1y9Uw2UdnHc6RRsuTx89sYx1vnzPkdZLeiwfpO0v/0f1q90H HrSrc1eLN63K+ae+jnyk3rZp5nRIHVN+Te5uq57+UO2wSUwv57m72HpWZdno 5oD6YaK/uPrVpTMXLhhnEyrxhtccswEJsaFqR82CjpfcDxoaWlpsSOoXpkI9 L/bf9M7TsNr+ZpNDm6LFP7EfeafmlqvRyiW5fYdz+wNUxXu1is6WjlE3N2Vs 3XAxUGXcHG+xwDdG4oWG1k/v/i0uRp3d0nbR+ZQQiZ9ZH/X12J8Pyfm1ho+X vN/6gyIXHPri0EffH/XIxENcb+Nv5bOaT7+k9d9fY8WUi1eFi7Za/NVz823h 1Vt3DjJ9dkv9o/WifK/8/y8n/mbduH2EXG/4xKQhjhUihTvefhyy/vJD5bvz xL6DeW4qv8vxD00bxUr7xS4zYmIHxSh9/lDO49Rrtd512lNp77O9w6M5lnHC f12xx8quaYLwTx+W1W7kFy/s8XL6+jYukRLf+wctXjI7LkK99kifdub8WTVg 4cQTPoeiVK1+g5vbtb0u8T3//05W3ByToES53nOHkmu+snkm3PaHKVEluyYL 13rS/XZMRJIw8T/Xm3rvSB2fxOfS7tQ/sMWT/inCDztar7swKk3Y57KZo0t2 qjD7BVzvc685gbPepEt7AyuX2B2TM4TnW7xsNWdulvCw3eH1+pTWmP0Frjek h8d3LmVzpH3C58dvHrTVuMy7J7Ndu+dq46vj/eQVlTRmP4LrebY2cZlV7YW0 e+ebW6zqq/HIjK7+DoPyhHtbteo0xkJj9i+4Xk6DSSm96+dLu8kzx7ljh2t8 JObQl33HFgjvsnBztflKY/Y7uJ5t1QDbhs1fSvuAsMjbbe01fhlYbn6jaa+E k8sVpVb+VmP2R7je1pJWOz+0ey3te653tKzqoHHPiw53TBwLhW2KxnXOtNWY /RSuF5u7LT26e5G0Z5zydMxaovGOo6F1Y1e8EV6bes0toK/G7L9wPav4vC7n B73Vvs99pnfvOGn8bJfNQp9N74TDIxtl7h+uMfs1XG9Z8IhdzmPfS/vG7dPq H3TWuNV69yCXXz8INwzY0G2Fvcb/6vrzxT2O1uqyOEYV9hzYzmn3/T/r0Yup R//UevJPrR//V9eD/6vrv4ur717eZJi9ex17w4kjwzsGlspRewYds1jRO0L2 C9hviD5at49//Gm1d9PRqcPquMr+DP5Or3ETIk2tclRc/zlOb0dGGrp6LPJ4 F6/t//Sc6rt1V9l89aXpghI+NbT9nya34p777QpWZhuSTp2udt7Aea0Dj6Yv CR0arn7e0NC6zxexat53nvus/cJV56Tj8dVbnzQE9N12s9P5HPVkZbtfu22+ bYh7/W5c+dIvVPDRScrLPNzQqWSlxL698mT/47tdG3+qsNVD9vf5no++cajw WVqI+GctD3ZwsDsWpfa+2lh0q9d1VdLsmyHv6hoMobfbjIqdkKvMfrMMunzl geHe1UXZFkdfyP4q18u2vjZrfjXteit3LigTsu2R7M+wP8D+C/sD+vwN+zG0 6/PlvB/2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D2X2D0EI+h B0YPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MHqIH9EDowdGD4weGD0wemD0wOiB 0QOjB0YPjB4YPfJ7fEY9MHpg9MDogdEDowdGD4weGD0wemD0wOjR/56rPh9N fEy7Ph9NfEx/mP4w8SbnT7GHsYexh7HnPC72MPYw9jDxm9RjGNdTmHiIeI74 BZZ6KGP8QXxBO/EBjH8P459LvtboX8P4xzD+LYx/CuNfwviHMP4dzPvW/74s +0k8Pxh/if0lnjeM/8V5Nd6Pvj6L+RvW52/187f+eevnc9r5vmC+L5jvC+b7 gvm+YL4vmO8L5vuC+b5gvi/9/et/r5n9PJ4/3xvPm++L58v3Q76H/An5HPIl 5GvwH/A/6E/+hfwP+RbyO/gjJgs3N9wxQnufMP4O6zV65Dyk8f9xP7Dkm4zf E/EB7xsm38Xvp9Kf+ID++nwy3y+sr4fifAHXh6k/gjcatuxvVxAvHHkit7Bq iWfCTfYMG5Rtliy8cMuFQ4E1U4T9l9V5d7BhmvAXM1cNXdUyQ3jSmKSjYztm CY862NDky4Y5wiX+Nvz3sk1zhY/sWD/8VYsXwoM2XyyR1CZP+PWaDK/Q7/KF PX+yHOnXpUC45/xBn53o9VI4a8bqE7v7vxJ2sz87asPQ18K2o5NNF40qFH42 uKb3pPFFwpv79B0zZPIb7TxJl2WlOv/lrXBsuxOnms99J7ymZdxYi0XvhZs1 qVKm7PIPH70P8oUwv4fL+2d94n2xH8j7kt+rNc7HjA8Ye94n/XmfMPM39jD2 vG/6875h5nvsYewZD/RnPMCsD9jD2DNe6M94kfNCxvVE4mkjY894oj/jCWb9 wR7GnvFGf8YbzHqFPYw945H+jEeY9Q17GHvGK/0ZrzDrIfYw9oxn+jOeYdZP 7GHsGe/0Z7zDrLfYw9jzPdCf70F/3ov5lPWB9Zb5Vs6TG/szf8PM/9izHmMv 58uN/Znf4TFWA7rfK8wXe86XYy/nzTn/klBpUikPjc3/GrJG2WrnzfG/mI/1 v9cs9UtGlvolI0v9kpH1v7fA/E+8qa/X5XwE8S3rQ75ZYMoRp1C1NOW6u4Xl Yjlfhn/PfMN8xPU5/wZzvQN1prjcWxL80fXwF2H8Aa7P/Kevb/3zPMKnnUfQ 1/f+/17P+0fPPxRXj6s/H1Hc+Qb9+QX9+YQ/63v/a+t7/2g9rf58QXH1tfrz B//selvmQ+Y7ff61uPMOxZ1n0J+v0NeDFXd+QF9/W9x5An19bnHnC4qr3/3U 8wfF5aeLO5+g33/W18f90fMH/+j5Aurt9OcJ9PV5/+XnBz6x/viffT7gz3z/ n/n+P/P9f+b7/1n5/o/y8Z/4ewF//h7An78H8H//HgDrn/z+23+z+vni8v9/ NL+vz9/rz3fqf5+guPy+/F7N72Muri2Yb/jvlu//dxgo7fE= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdwUEUUhe+GNIIkAUISEtIAMQQTIYEUSEgIGBBFBTtVQbCgRA02VErg nzr2sXfH3ruOfdRf6th7r2PvYxnbOXNOxvz4Zvft23ffu+eWfTWrehevz4iI 3BQxBOO+oA2MB6WgCIwGq8EqsAOo93oJ2MVjGSj3nM8dCYaBArAFbAbFZiQY ZbsjfD3Jc9rtAU2gEuzu60awAEwH48B8MA3UgJ1Bt22vBCvoD+gEk/2ukb7P d+4PZoAJ4CAwE0wE2QAyRIZ9LbAPWSAPDAWzQJ3ttYNaf/cSkBPSkL7n+5lk u1m2m+Pr0+wTNVsLhtt+tt+Z570ZtrnWa/m+n+37S/3uTLAB9IEx1mCY91QO is8UzyusX9UgDYut1a7eV2E/67w+23Eqsl/j/X2LQZe17rfNCu9jLjAnmv2e KutVa9sdYCevDXEc6Mvp9CNJ4xtpJ+mZQ0O5yDx8HbQm5cKv4Bleh3Kt1LE+ AOwDdvS3TvB7tobyssHfV25d+jwv9d4Z3l9v/4vsZ5c1oQZttr0H2M2+UrNO 75kHptr3at/nfG6ofsqsxyxrQj3arcl2sC1UD42O5cC3VlrnLseP75rjby1x rDpsh7rOtLbd9rvYtvtta6rtDcRotP1lzc13/PYK1SFrcB04KpSTLfa/2fv3 9p4FfqbV71/ob6AvPX7vIu+n/ZPAMu+hrvsNisOB8X9+LHFccjzPtfaLbOcU sCco9P2l3rPM80yPy73e7Of5LOuG9cMcOxkc7D0cV3rOHFxj+1w7xPtX+Jrz jaF85bw31FMKfb3K72FeMj+ZR6zHedY/17boH2v/sFCPOMLzfI+He5222Hfy HBfOC3zN54d6bd2gZ9d6frTXC2xvvW1eRrtJvm0K9ayxHjc5hsutEb+XNcPa Y/8p9pw51OdnmLcLHeNM39/i/exdJ9j+GsePWjEn2Y+Yly2OU7V1o2bsQ8yd 6Y4d84Q5wtxg/jB3MhyfjdaemrAfs4ey/lgzrJcSGLsB47Gm19/QBY4L1Rhr ZZu/ocrX1Y5nrzXk/e1evyR0tlKnJt9jzl9B7ZN8vQi8bW1o4xjbYQ9mjxio 9X7rMMaallrXPuvG3D/RehxvTQf2bvCe+0FDktbUfqv3NPiacbuL+ib1Efq1 2jq8zHgkxaMH4xuhmvkafBiq966kXsx6r8T8tlAvfJBaJ/n0Ofg4VJ8Pg8ak ONdjvM/fXoP5HaFeey+YlBSrL8GVoR75EfjKdng+3BTqo2+CmUm95xUwLamu 5mK8EOOpoB3zjiS9ngLzkvJrTtI+7vnCvtGvc+0z/S3HeHOovz4CfnZsef7M SvKd49PW4UfwkzV+1hq12qd7Qn5Rv/P8Lmp/Z0j/78D3odxrxvqjoT7xLTg/ dPZSv4dCGlLjB5w774GzHfc2rD8eqpNzOCb13w/sP31/wvu45yrwmXV+zO/m e8djnJBUD/TpRftF/Z60HerxizV5DrwbOoc+BZ+EzoPOpDgxRv+Cf0L/ZX+C P0L/oROx5/nQuduUlH/MvbfABaF/wylYfylUJ9WYnxk6d/8Cf4fOjxlJ/wo8 w0Zgfk2oj94aylHmJ3PtG+cbbYxLsnN7KBe5/ip4P1TXv4HfQ727JSnPmGNn gKqks5wavGYdrgfFSbWdwX/tpPPsalCY1HdZl92uzdlJ8WPsXmAckvoUfZ2c 5O/dzi3qfxaoTTrbqVlFkm4/+B7XxybFg7HIwjwz6f+3LukdtF+E+XWhM2E4 5peHzrB3Qv9k/C/Jw/qlofOwLMln+puD+cWhM/ZaMCrp/+CWUM2wXv4D/NHv Ow== "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPF7qzZVO5WKUXmVWqVNh1arVYpatWOvIGgRo0UkTewPojat vWfsPUPMD/WBiBFij1if7PU/OefDL+fe93nee8997rm3wcjc7Jwg59xQBKOx d+4wsTnSUYTy/DaMOBzrUIb+IOJgLEFt+lOIoXiMzTIOkrEBlXg+ijgadWnv IzZBe9Skv5M4Gbl4hdfobmPcQFmvc+VhMWrQn0SsgpVYilRkYzWWozOy8BZv 0BA9sQhV+f94YghuobLX3GbhNp7Z/LNRIt+C59OJYViFQnREV7Tl2SViLLrg Pq6gl+WwAi/Rw3J4gqeIQ328xztbq8wZw3hniNHohJuo4PXb5+OyrTHLxriO tegmueAFriHe5nxuexRq42/CIyTZnH+xAInohzvIZL4CYgvJmfZBYhRScE/W xW/ziG3sv0H0B9gYUhvriUOc1kgp+h4Bp+8cQsDr3kuNfcYXpKEZKnrdE9mL EbJHXvdE9mIMFiKd3+bYeqU2i+1dqdEM+meJrTHX1lJie1dgud+1by9rKOf1 G+dbzlKrG20uqdnv+IoI9MYe1OGddsRI+a60dxBzMA61vNao1KbU9F6Eez0L UvONaH+ytU51WrsRXtupOCC5ef3WTeFof7O5+2M+fqMvEvAHv2Rc+60a728j TsQEyYP+FsttLB46PVN5VjMn0Yp3Oki0tf5EH1tzJM+OWC3IHtWjv99yk2/w AR+dnj2pkV1Oz7ScZbkTtltOkouc2a2Wk+QiZzCW9jmrJTlT0fRPWS4Z+GFr TrCconh+jNjSac5rnJ4BqQWpiTCe77a9kRpfZjUhtRDutDYeOD27UiPVvd4J IfbNTksuXueWMyhnOYn+TKdn+qis3evdKDmkSS17HXuG7CvtE9aehnj6F4gx yMRVpHi9K+SMXkSi12dyhwR7rXFZz0Ake73D5O6SHI7bHDK23EnnEef1rpA5 5KyV9vrfgNXGP6dnW2rkP55Qms4= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXn8l1MWx3/PedJCJYlRhDBS1jEYM7axzky7spQapUV7P61U0iYRsrYr JVSSTGhHmywVSjXMhBKltEp7Mec95/O8nt8fp/Pc7dzPOffecz6/b1WaF9bv ZAUFBU38n9T1P103dbk1KSho6XKHy51J9DOntn83c13TdV2XBv7dgD6X5i63 udzu0kKa9fckMYex5j6/lut6LoNc7nd5wKWV9mnocq90I5d2Lk3Y36W99N3Y tdizo0sn7c8+9wkH+7eWjbtcCjXOWBv1NXbprLn42lftLi7dhAMb3aVZ10O6 rbC3Fcb1Lrtddrlc6Ng6uO7p0iuJb3D2LoL3QWlw9ZEG+0PS4OiquICjn3DR 118ajAOku2u8pdY8LKxgHKjxHsLbWDEt5TgPuD7ocpEF3sEuz8gu654QPnAN kQ9gf1J9xOwp4QPX09KsH6pxxh7XOmw9WiQ2z2of8D4nzb0Y6fKY9hwljY3R 0uAaIw2WsdoPLI0s/Bjm8oLGGRuncTC+KI2v07Se8QnCBJZL3M7zrie6vCJ7 w10mCx+4XlXfCJeXk5g/TNh7KV6TNM6at2SPuVNkA5+myh/wvi4NpvHCCKY3 hBHs06UZf1Ma7K/JHrbaW+w1w6Ujd9LlDxZ4B+sc3hYW/Nvh8rXLNy6zhBtf Z0uDd440+8yVBvs8abDPlyau70qD/T1psL8vDfZLHdO/XC90WZTEN5g/0X7s s0SxA+8H0u+4LJWe6fKxsLLmI/lA+0ON014s29haJttg/1LzWLdCPoD9U2mw fyYN9ssc8wLXn7usTOIb/KuK+PGFNHuulsaPNdL4sVYaP/4tDY7lwgWOr4QL //4jTWz+K71MZ7ZCeL/WetrrNE77W43jx+UW2MlbG4r48Z00fmxRXNh/o/rw 6XtpfNokf/BjszR+/KDxNYo974T7tFX28GObfADjdmmw/6RxxnbKN7BfYYGX HLu7CPYftSdY98gH8P6scdq/qA/se6XBuE8aPw7JZzAekD/YPijN2GGNg/FX 4ebd/CYN3qPyjbEjmkube/qKYvEnCz8KXJd02a89Uwvc+GEWftLeL4xgKmYx jk/HWGh8SiyPTQkL31hX3GJ8n2K5U1jJSeQAchU1mDpGjc1yMTnneAs/8a+M hT/4V95iPzCeYOEH7dMt5pV1uVL95dQ+qpidqHX4epKFP/hxhuaxZ0XFhRpV SfpYl1Olj3M5Tbq0BSep47ZruJwse/hdWeNg+p36iA28hFpJ7b/R29Us6uJf XJ/pUt+/r3Z9lgVvgfvAWeAu1/n37y34yrWuz5G9gYoZ+foa7zvbggNd5bqK eNJfXZ9rwW+ud13VgqPAi+BT8Kqb/ft8C65zmwXHaprEejgMXOf/XErtm3y8 ukVNv8H1eRb8JuNhzDtFfpcU7lbyv4LOoZjlHIt7cKcFx+qg9XCSQu0Nb4HH sAdcqHWS85tewlSoeRnXYayJbLcVrs6y20737/4k51jwlQ6y1zPJ+VYP4e6i 9diGD8APGmteG/nXVfMyjsVcOAt8IOM1T2j9xRYc6JEk51jwloxj9RemgWr3 0DsZKBx9ZbuR4nGv8A7SPPIruWi9MPXTGnzjDQ6Wr4+pzdhQYWXuU2oP0P2C u2RcuVWSc8c+ivUQ2co4Get5N+Qy8txdFjwJvpLVrZVaA08ZkeR8a5Qw0Tdc OOAmGbdCj9Fc+MCUJOdno5Ocw40UjnFan/GwcZo7VevhT+TJl7Xfq2qz/yS1 sTVZ7YwzTVVsxsvuKGFhHu9ygsb+aME5FiQ5p5md5LwKjgJXai9eMk5904SD PJ7xJjRcghxDbSA/TlTfjCTnZ9OFe6bWg3uW2mNlO/OBuj83ybnUvCTnUvOT nEu9m+Q8bE6Sc7VZSc6xmPe8sIILfxbpzMG3WG3swheWCxMcZGmS860lsvuR xtgTXvGJ8C1Xm/0/1ryMn7F+sM5yWJLzqhVJzqs+TXKe9EWS86TVSc6T1iQ5 T1qrPeAS1H3Okvv7ufB9qXkZZ/oqyTlT1qaObxF2eMc6YfpG7YwPbRAOeAK8 gbeyUWPg/lZr3hLuxUnOkzYmORdcJR82yRb44BWbhXeL2suEJcP6k7DS3qZ2 xpm2JTn3wi71kPd9WD7s0DzyBLmM3DZHsSA2J/sf/Qt9zS3iFMVUD9jjiOzA P1LV7K3qO5TkXCrjVug98oNxco25/fGqefASE0/IOBN8oKxq/+mq1ZVV2+Ey iThEVu+p//h8VPjYv7jq/XbZO5rk3G5vknO4A4rRfo1l3KKifIOXlFeNpO8U YS0vjnNI8SWPHtD6ksJ3gnhOCa3LuAY64yMni+9sFpb9Sc7hiDuYSmhdxnUq aYx1FcRNrhKXYH1J7ZlqHB/+bMG9yol3XC0OU8eCdxaIH5wnzsPfuX9XLaBG VxcXYI8qWktdq6p1tM8St+ksTMzlhyRskWdulU3a3VVbB+stcZ+4C8f43XhJ HAi+c4HFbzvsfb6+wVdN3Ib94FRwrXqu/ya7aH5z6alzJnalNO8cy39X4g42 Ut916sfetZp7od5BB/l3jXysafH3HrmllsXfTtTx2hZ/k+xSzG5W3MB7kzAT 4xsV539Y/P1NDq5v0c7qEHqhMF4vnHBM+CLY71S7oc7hBp1FXYt6ho3jPJ6v WuzPGy2td8M7gf+WFvaa8gWfamhtDwtOAP+BC9VTbPGvlvzl7tSWv+BvJx+4 a3V0r8BSX35xn+AY5PzbLbgsPLaLxb2B13aVhlcSdzgnXLKbBQdtKmzcIWw1 VD9zwV5X+BsLP3veonkddE/a6o7Arfk7oYb0PRZ/M/CbJvy+ljS/dfL75936 ZrylxRj9zGsue/xW2kb9xKK1zpjxFhacnnfQWNhaaIy/Jdi/meZgu6X6uyku d8ine3Uu+N2qSAyJZ33FmPjwvrhb8BZqO309tJZ4d9H8izSf/jN1FvTfZ8F7 XkrChw66q/Tzttsr9t2Erau+myZ5u5nyLzm9jOXvs6fuIDm+su5Oa92f7B5g hz3v014NsnuShK9d1EeO52/EssLYUZjbCyf55zfX4yzezHaXLYrvEZcXLHLA ZpeNOqfL/e0ssTirK/z7Q4v79Z3LN7orlwovMTnoerRF/tjnMtIiZ7B/oUXe 6yRfwHaXzoKzetbla4u7c5nvtcjizhZqDfN3cF8szmePy3CLXDzBIm+SA7Lf pqnrl3jfEIu3Ow+/03iv37r8aHHP8WO9fJnh8oHFOc8Bexpvfa3LGov3Osvl jDRyxvcuD1jc1Xdcn5ZG/pjmclIaufMCdBrvbZ3LMxZvqJj3DbTIawvlM/4u VtyJ+dmuP7bINef69ycWueYt4p5GXqnk+tQ07k0118ss8s57LtXTqHuc5w86 06dd3lQ8P3Pdy+KdgqV4Gnimu5ySxhtjfJvm9HS9yeI9TnVdIY23t9xlgcXv BGW9b7JF7i/p3y9b5HvitEGxOsH7X7OoZw+6DLV4a0t1z2ooxjMt4nyifz9q UQsrpnFOnNEKlzd0vsT7dYuYE5snLeLzPvukkY9Wuay0qMOc7WyL8+VezLW4 G+f593yL/M15vm1xpvDaParT72relfL74lS/kbj+yKKWjLF4V7ypymn4hl+9 XXYqVlMsYkEcVrv8bPGmt1rEmjjvVoyITzmfO9iipuI39xvfn7N4G7yLYRZv g3fxikX9o/aNtXj/vP0XLTgodbW/C//JRe0f4JKmUV/LuH7EomY/oXvDnZmo c+VMH3d5yiJnDnJdOo26Pkn3gDuAjePTsPOwS6k06nQfl18seBt56CeLXFQi jXnMwdfyafg7wiKnkE/2ujxkweEOu/Sz4CsHXPpacJRj08AEnl3aj714T1XS eFO8p3PSeFO/KhbEIUkjFsRhlEVeO1u2D8k+76xqGm+N8++tM+X8T0/jDoBx v3CC8ahw/g9Wfaaj "]], Polygon[CompressedData[" 1:eJwt1NdrVUEQx/Fzd4OiKIoGK4rXGmOihth7NxhjCYqiqNgL6H30PxDs2Hvv DRV7Q7Dgi73GqFiwgAULiqIofn/MPHyY3Zw9Jzuzszc9KVM6JyRJUows5MYk ucAfOqEz0sxPEdtjMH5iDRqjG35jHZqgO+bjIUZiQipJGvL+CcbtUIymzM8Q O6AE3/AVpawdQXyA+8HG+sZS3EAbzGPNNeJNDMUgXEIZRmMAXuIVJmoN6xcT 7+n7KMQLPMeQlK1ZgNsY5v/jDi6jCMPRgv2eI3bUO7iCcoz1NU+wXLliHJbg Orp4Tn+JG5Q3emArsvhmb2JzRMZbfNwLrZjf0v/m3RnEfOa1MZDxTM+lNfNZ npP2nhftmXIoZHyU2BYZPMPFYN/SHuvwfKHXchrxPFpGy01nXsB4EXE7z2cT H+EApmIUHuNwsHfHYD9q8k6e9o61+OW9oB7Zi+o870/M1XdRkXkf1RabkYqW ezPsRlXm/bQv7ERl5n2JOdiIf+jpNV2PP15b9eBHfMIUr+FK4hd0RSOsxo9g vZtGdrSeVa8qx4OoFa2X8vEW7zBZ9WXNMj9znfV4VGHtLt+r9liN+R7PVTlc 9ZqqlgX4jBW+F/WIzvaQ/y+dcQXm27w26pFKzHd47qrZd6zyvSunGjzf57VX jefiqe+tJGV35Viw3tedKfMz1VnqzpxV70W7i+rx42gQ7W7pztZnXDfa3qfj tOoc7bdAdzhhvMnPTmei3qwXba169A1eB7uLquGRYD2a8R4r955SL+lOqXfv Brt76uGTqlW03w79Bn3Aez8LnfF/w3KFIg== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGm4jlUU/Xj3Z4wQadBAkyZPw/NUplAps3IzXZmuIfcSLnXp5l5DGiQi DUpKlGgwNWkQGUqaNKDCLWUoMheVUmu1locf69n7fd9z9tnnnHXWPt9XPWtA m/7FU6nUomKpVAJ7bqRSnwDN8TALqAp/DOwrwFXA9cC7QB2gCfAeUBdoCiwB 6gHNgKVA/URxXgPGAWOBFx2XMVcCDYFWwCqgEdAa+AS4BrgR+Ay4FrgJWA1c B7QBFgBTgAeA5cDVQAvgA6AB0BJ4EMgA2gE9ga5AN+BUzOkt2IXAeH/vCGTa bw9UQJvjgQ7wJ/j7LcCXbtcZuA3oA2S7D8e6GejlcboD64C1QJbb9nAu2bZs +z1QBPQG+gG3uu13QCegi/PKdB7MK9Nj5roPc9kGbAX6A7cDA4CBwB22bLsD 2A4MAoYCg932Tlu2rYT4pYGR8CvDHgeMhl/gPmy7H9gH5AMjgLuAYYn6DHPb g8ABoDBR/+FuuxvYBeQBPwE/AjnAnEQ8a2wOtDYnyDFyjZwjx8g1co4cI9fq mQPkWn1zoIU5sdJcaOA16Ov1eiMRl8lpcoxcI+fIMXKNnCO/xnpfyd8x3t8M rz33ZKF9vieHyeWGXoMhXi9y6SHv5TPARPvc387e14neZ75/BHg4EV+nA5MS 8WkG8GgiXs0GZgKPef24/9me30DvPXnXy+3JO3KK3DrCPz4X2e/lb/0co49j 9nMePR2jm9v29LdcjzfUez7MY5NLg5Oj/OPzdvu5/jbUa3SEf3zeZZ/tTghx 8fFEvM51Tvs8FtuRd+TU8OQo//h8wH6Bv5F/dyfi9Wi3GeI+jPE88BIwLdEZ 51nnWUvQvjjwRCItPNF6+FQi7ckwxpoDUxPpTju/G+f3TyfSGsYsgxiTnVM5 x74XmAc8ay50NQe6GZO8j93NgSzbx+yX9DqN9BwmeA48u/d67vOBJ4ErHW+G 4z3o+WQ4x6nOf4LzZs7kL7nbyWs1zfEnOmdyt0pILyZ7baYkR8/Oc4nWjfnO dM7s94L7nhJaX9YGgnWCOvCy/TFej+lej2ohHed+POd2bPN6Ig3h2T45pCmc 79xEfmPb+X7PHF/1Xr3i/mxTO5FGUB9Y7xYBNwBv+j19jr3Q+0vLmtLB9h37 1J+PEmlQHceq7Xj0mzjem865vWOxLzXuPfdbkUjjqGs879RN6vz7iTSxmS2f qY/UQeojtXGZ/ea2y9x+seM3tV3sfJZ7PLanblJPqaUf2m9p+6Hzaeh5NvBc 6bdyn+XO5TbnzZzf9hq1dX5LPFdq/qeJdJ/6S12mJn9un7pM7aGu9fY39mnk fvSp46ynmxLVFN4XVh8T73O3+SrROe9s/+tEfM5y/O7u94XHzXT7jn7Hb208 9iqvAfutc25FziPH7771+yO6z3jr7XexXe98GO9jr+FfwDfO60hcrsFGt+9i u8F9f/C4bHvIz70db5XXNsd7kW0U+d03zpVjkZPkKXnOc0Wuk+fU1ZK+G5CD W7ynxFbvc679Qbbb7P9sn23/8TN96jh1P992t33WANaMPNsd9n+1z5iH/TzI 73a6TZ5j3eExf3GbQY7FHPd4LLYt9NwK/G6vcyD2OccC+4W2++3/Zp9tU6Hn fO/5Ia//vx4vz+vHsUZ5zIP2/7DPmMVCz4V+96fbzDQnsjzm726z2fvBffzb zzme92HPe6fzyPP8mGu+Y3A8xmEtKu6aQcv6dz/8tH1+Z/0qe0wNY41hfSkV mtsoz7HUMTWJdXeE+9K/x+/KuB6Xtc/3HCc87ibPh3Mp57vofe5bye3Lh77d 5zblnSc1lHdlamqm/U62FexXtM+2W8zL/p5TOa8D51DJnKc9weMe53rHcbkW lT0X2ip+zxp0Uqi2cJyKvgtSS6g71BzWAZ4znrcb8f1wqLa34d0jLW2ay36u jxfD7g7pTwrfLwvV1aYcM1RTv4T9LKTjO2C3hbRvD+yvIQ2bBls3VKv3wjYK 1f8nYac4z99grwvdBdbBfhXSfc6Jc2MNneN5co6s4azl1PYTXaNZz7bC/hjS 6Y7cx7T2tgnXOMTrT2E/CtUn9qvmOA35ey1UU6v6PWO/5XZsswl2Y0jn+sNe 6/xrwR4M3V2a80yF7hEtYQ+F7kHXw04N3WUugf07dM+4FPbf0D2pNeyfobt5 gtwz4K/huYB/c0g7T4Gf5fN/GvyePsNV4XcLnf/K8LuENIv7fJP3mrm0cj6z YeuH7mXMt4Vz3sBxQjWWa1DVc6+ImLeE9LQ0/Pah+lAWfodQDSgPPzOkC5fD zwndmRqH9pj72xa2RFq6tRL+8tB94lZyP8Tx3rAjQmfiRdi+obvjZeg3OnQX uwj+E6E717nwTwvdOxmjwHGeCu0N96UP7KjQmf0ddkDo3nkR7PZQ/T2PnA3d Ny7gnEK17EzEXxi6U5wNuzR0nzmHPA3dc2rAvh6uZeRs6PyeBbsodOc5H3Z9 qOZeCLsldE+oDjsvdDfbB9svdD+uCbs2dBfqBHt8WvpxP/wrQhp4D8cM3Zd7 8CykpbW94J+elqa3g18qrfrdHf5JaWlzV/hV0tLszvArpaXl87lvoXvqG7AL QnfHZbCLw3c6rkfojpkfmjPnOw52YOjuPgz2gZBGTSK/Qr8pqSXjQ3oylhwM 6fAE2DPS4hv7XeW+1KSJIV0iL+4yNwphz05Lx/8KnSueqX9C5+r/37IcJ/S7 izyaYS6tsTbyPsO5zvF8qR+bQxpSFNoz7hfPOjWL5/2akJZRx34KcYU8IUca mCdc+xpe/+wQR8lP6uKukDZWT2svuY9cswNeN3Jzv/m5M8RR8vPVEFfIE+7J a96XFSFekpNXh842zzV195mQ9j4NWzv0+4/nZrLPTr2QRrMNefeSuce9fdf7 Owv2hdB/bDyvH4TO7Dsh3pPzz8PODP3OWRLiPTlPvrxvzvwc4j05fw7mPjxU 81k3fgnVjvPwviZQgs+h/wr5G4F1ZnWo1rAGsDbwdxM1plZaOkNt/j6kz4zR LBTn29BZ4jlibVkTqi9fh848zzs177uQ7j0Ce3FavwlXhc45zzjrxseh2jEd 9tnQf4R3h7SJuvQfsZK/Og== "]], Polygon[CompressedData[" 1:eJwtlXnQV3MUxn9v59y8xEvyWrJUljF2pqxjH5VW9SpChex/yNh3Zl5LRtqo RFnTorRQaZJKTLY0WUoSYipKUoREyeeZ5/7x/M7z/O6933u/5zznfFv0uamu b4NKpVIPEvzKzwbQNSqVz8CN8OOKSqUxsQe6GXEMmAYfqXvgn4MF8I7gU/hi 0CH830nwI3i+mliPvoO4F/oX+H/gNnQNejV8G7gd3Ri9Fr4dXI0+AL0F/jc4 Az0BjII/AVbCvwOd4QvBUviS9Ld8AO6E78Pzm+A7wNfo5aAT/CNwL/x4rjch Po0eS3wF9A/vcTJ8EmgNnwHawoeBifAxoAd8F55fCf8erEB/k15b33QK/Ciu 1xD7oe8mHlh4L1XwW0Gjws/+C+5CN0X/ES7IRrApXYs60BL+SPrdPfVO+A/p vV8AVsNXpfki0Ae+H+ttDq+5Dr0WdIEvBpfCd+P6qnANeqL3QP8UrsEV6L3R G8M5vBndDoyDvwSehJ8PxsJfDedqChgfztkn8EXgvbAnTpWf0s9O1RppT8lL b4Ah8Fa8r2m5xkLix6B9eI3e8CZcXx/20C3oAv0V/B/QCh3opfBe4GT0kehG yhv6HOLv4Dn4QFAPP4zrBfEZ9Brij+ncKUc/w9enc6WeaA5/SB6BD5DH4B+C +eFv7Ac/EfQO5+gg+NGsP6XMx4PoQ9CRfmczeHPwFte6h3Pfi//XhWug3uuL HhTuwRPQ95Veqi174xri1nCPyIuXyBNhT6q2l6HXhGu8a+GeU6/pnoaFPSjv LQcj1Adgcvib26drrno1JD4MWvLMa+EcXIzeCb0C/i14NF0T1UKeGA4fAF4M 98yF8Cru/yJcoy3oNmAI/IWwV69C/xn2rLx3Jfq3sAdVy+vQI8I1bVC4J9QL S8Jr16W53tFVQ43/hsOHhXvx+rLWNeVsurbs/erSm4cX3qv23Jm4HYyGPxXe 60Xq8fCe5cXL0RvCnjwY3aLwrFNN5OXB6drK09WFPSpvao2OyhV4Wb0UnkX3 lF7VTEp093RtloHdC89IzUbVdM/CM1WzVJ7Zt/AMqZQ5m098Rz0KnwfeVS+m eTswGn46eDw8U//SrAODwzXbDD833SvPg2MKe1pengDmwOeCOeF3vA9fkF5b PTEV/np6drZRjbXXdK/rnSPho9K1l8ffhs8GbcNryounaY2wJzWbx4Pp4Rmt azeAZ8P3HMv3DU1/mzw6EX5m+qxQz0+HT0t/y8xwr+5c2Lvq2W3oTulaqya1 hc8QnR2q8Q54l7SX5In9C8/0qtKz6u0HVLd0jx+K7k98LPzfuPQM0ezQHu4v e7q29PR5Wieda9VgK7xD2htDwaz0mayzeDaYAX8zvRflrFvpGXlFM3Em+uz0 vbOUA62dnr3quYHaa3p2q0fOSj+jezWTvoQvS5+lOjP/B2KxGeA= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmYzlUU/hru+YmIKKksg/b1qUe2ikqTMWMZDDNmhky2MQyDSCnZWhgj lXWsbbQopGmVtIm0klApQimjlTYt7/uc93vm++N9zv3u79zzO/ec95x7v19y /ojuRUmxWGzxCbFYFcgTLRY7DRgVYrENwHzgLmAbMAOYDlwexWKl0EkGTgde xNyVwO1AC6AlsBFYAEwC3gbKgCnAh8Ay4F7gTWAhMBnYBCwCpgKbgcXANOA9 YAlwN/A+sBS4B3gFmAPcAawH5gF3Ah8Dy4H7gIlAayAFaAo/20DeCHQG2gHt gY7B59sCqZJXAZ0krwa6SPdaoAgoAUYA3YDrgOuBTNmmvd6yRRtdtY56GdLt AHSXvAF4Tmt7Ar1kg+uzZCMN6AOky/ca2Et15ahc6/oDOXpOf3Ml+f48Sfrb V5K+/KPfhUA/zdGvXdpPPnBUtgqAL+XfzcAB+TcQOARkA4OACvk6GPhZPg0B 9iouA7QfxvUa4E/5N1Q20rTPW4HRwBigVHEvBiLs28zjfz8wUjq3aEyd1crR cOAE870NA8Yn6JKbk5Xjk6FTCxiLcWNxekJwfpFT5BD5xTogV1gT5DW5Qu6T 7y3kN/dEbpHXU7RPcn+qnu1V/HrJVkflnhwnr8kVcpz1Qc6wVsjl60MlR7mG HGctdtA7GLdOWt9VuT+gePcOlZxOlR/pWkNfO+t3e63rrHd3k61DyjPzzTpK UUziPM7QmhzlPlXvjHOZMlPvz9KzdOlmh0q+5mifGQnvztMzcpIcJ9fXBa+Z Hopdpubj/M6TjX76/ULwOrkpOIfztWYlMDM4t8jbQfKHsZqsuD4YvK+1lG6J 9MntwdoDa2SI/CefC+RzQKzWBOcja22ofCN/i2WHHCfXxwXvf9OUk1nBeU9O zw7O9dH6Tf6Sx+wBHBfr93jZot9TlGfyv1BxmBu8X7YWyO020puq9z4cvG+m 6Bk531aYpNi0k5/kC+tmvHwi98hhcofc5HnB/sZefrf022sc74n3KucEed5B mK61TwGPKu5pyg859DTwmGL0i/LBHKwCHle8uNc52utozY1RPh8IXrPPaM1s +bVEvtXFvp5VzBineQnxmJ8QjwWhki8LE2JflhDXRYpZE/P+8pDit1jxYMyW Kh7cJ/kS72+PK+eMzXLFZrvyxBytAB4J3utKFKvhiusyxXWi9tFaz1dIh3PP Kk6MJeuhSPaelM5M5YC2ZynupYrXqgQfn5Cfe4LXGHvcWu2FduqZ/+a4OcbN zGu4oSTr9/ngtd1DOuu0x0bmeqzhHcFlf8X7rYR4v6N4vxS8L7eS5O+W4sKr Cfl8LSGfryfk8w3lk+99Qf6UKkZFyue7yuFO+UR/yJ2tCfn8ICEPHyXk8JPg /F6nXHKPfM+nehdjtkYcIEe2BOcm3/NZ8D7G/rVLcdutcb7kbvnzhcb5kp9r Ph5H2umlfGVK7pF+Tey9vs7EfcA3yimffyUd9vG9srFP4wGS+6T/PfBD8PNj v+apwxo+IBuHpEedg5rn+Dv9js9/q7XZWpOldRwP0rqD0vlavtKHw9Kjzl/B ezR7MXsGewf7OPv/Een8pPFgyR81n6M1fTRfESrPgAr59Ztsshfl6V25mvtV +seCnxkFksek/4fGBZK/az5Xenw/64x1OFK2/5I+74Q1lS+ee+z77PnEP/Ll X40LJf9VHGLmY86finE13a849590ksxt8h7F8yvS/ZNzSTpjKKtozFrn+Rfv ZVwTv8OZ1lbV2mHax9/aSzXZ57rjekYfuLdaOvOI6tovZQ2NT9KY9vk/5iSN R0kvfoc8UfPjZfO24DV3qt7LuZM1zzqoLfucq6N5ylM0Zr9kj2N/q6211Of/ IvYgnjVzMXdF5D2Xc7xnskcdg+xpXq9/QvYy5+/Z0E0x78fHIbPMa+gSzN9m fgb8CtndvA/9B9nHvG7qQGeQeW7zgKqR8zgJMte8JoZBztcdpRVkqnlPqAGd fHM+ZpMb5rVXC/MDzHOSjPE0897fGnKW1tbD/BDz3I4Ezo+cr80gp5vzN4dc irwv3G6+H+6FNlrJTn3MFYmLDTEerRycgXGx8loN45vMa+5OyEsjP98a6A7P 2A+HPC/yc+xcyALaACYBl0Xe08+J/BnnJ5jHnTG/kPP4fSYwDrgg8vtgE8jG kd8RaGOyuZ2AcV/z/nG6znrmtzfk3+Y9NJNxNe+hPSCPmvflDMhfzPt7OWRn 83ObNprIDs9Jnpu88zbVGcqzI1k6vFe00TOe9Q9DLtcZdj5jLzuPQHYyvwfR RlPZLINcZP7fh2cTz2C+k+t5FpZrXw2kM4qxibzvdOO+zc+wWyHTpcPYnSXf RjAvkdceczXRPF/sZaXqDUMxd795PS2AvDjy9SXKAePPGppnXkfxOwTPzSfJ R/PzvlzzPbXH5orVGMhGkdcunzfS2gcZh8jvNDPN48VYPaQccC+fQ+42/yax ELLQvM+RIxdFvtdvWX/m5/2XkHvM7wTk4I3mPPwe8pD5twrW8Yvm/N9Hjpjf G1g3Hc1r5zBkhfm9YRnkUvO70lTzOmQNPo3xKuBljB8lh83vuG9AbjT/HjMY sm7kPXog6yny/j6W/FVsmbcy7bc/ZPXIz6GbMa4ZeY8+gPF+8285aeZ8IpcY +5WK/wrWnfm96y3It83vVV+T++bfcjZAvm5+91rNfJp/19nKGJt/N1pLDprf 29ZTmn+X2gy5xfz+9wF9Mb//baI0/7bUDzKK/Nx9HuN15t+KdpCn5t+ZupjX G2vtZb7f/F7IWh+rmHzMfJp/o+KeZmhfP0IeMf82tg1yu/m98BnzfDAXOyF3 md/h/gcIXG3i "]], Polygon[CompressedData[" 1:eJwtlmm0jmUUht+O8+xXoZRTQgPV8iNpUGme51pNNI8cY4jGtWopZI40UKI4 IkoDIq0KpcykRJQoFEWSFEmIrrv7/XGt597fO+/97Ht/9co7NelYkmVZBZTC tMiy42BIyrLpMAF9LLyAngrvo+vmWVaDdTDx06wnEddlrQcT4T34iGNd4C30 O+FrH4fP0CfAy+jZsALdCCp0DJbpfjAcPR/GoK+CzuhB8KHuHX63bjAc3YDn 12F9nrg+6zHEtVgbE89hPR5eQs+ET9ENYag0PIm+Fwagx8KX6BNhGHoufI5e HNY94RJ0GfcvZe1A3If1cOLqrDXhFzgVRnJsMVyOHghvo5+BdehT4BX0IngO 3QVGK1fKEbodvIl+FS4Ln6Njesfe6No8ryrrIfpmGATjODY++VlPwJjkZ3bT t8MkdBnrajgZRujboHs4B/p2XdMf/VQ416fBUTyrJ/Fryc/ooe/kt8qsB8MH cA105dgouBh9IMcz1vbEZ7JuheXo5nABujLHt6HbwvnEiXgLug2cR1xCvAnd GvoSPxbOxetwDno3rEO3hAvRVTh/B/oeuIh4f+Ld6Hb6LZxTXV+b9VzYCxuI W0E/9H3h2ryhb1ZttIfRTaGj8sz98vA33w+1iKuEa/AgHEZ8QHgPnA3/wBqu bQFnobfDd+hy6Br+Jn2Lan4k1w4mnpDcU/NgYbg3esC7RU+pl6Yl9+KksFZP jkRfB8vUm/CiejXca7rn1eGeVa+qRg3QU+BjnQufSGvPSCf3/vSwlgdMDfec ek3XHMH7Pkx8kOoMz4b3WFmxZ4eE94j2xkTiQ3PvWe3VfYvefEQ1Te7RGrn3 jPZKpSK3D7BWC+dYue9UXKsatNe9+S0Ve7oX69G5a6c9qlo8VLybalInd4/W LO45LuxJys8U1VzvrW9Enw7Dwp4iL9E7PopulNvb9NuCokaqzaxkb5kf1vIY eddyWJDsYfKaWTAj2XO+RX8DvZPPkRd+AXOSPXFR2HPkNfptKXoJ9ELPS/am r8JaHrUB/bN6WN6l+vGuQ7Unw54or1kfPibPUe//qGcme8BY7cVwrysHV6BH hfdSs+RcdyhqqZxfCaNhYLInV6CvhaXoyTAbPRO6J3/zWvQP2vPJz1ylXoA+ 6IXJ3v99WGsG/Ib+FfqhlyTPlgHh2mjGNMxdE9VC33gp1M/d2+rxZqxB/Gey x+hevytnqbgn+uvwbFFO9e6dw96lb2iC/kPnJHvWHeiM+21M9qSbiP+GVck9 fgt6p3Ka7Em3of9VTZI9RrVeGZ5tqvkN6G2wItkTlIs1YS9WTlTLjeHZoZqq l8eH96r2bGvta95nT7LHtlUvEpeEZ1JLqEq8M9kDR4RrpNrI0zajG0P/5Jzc ha7E+ZuTPbhcvUa8PdlTVcu54dmpmqqWP4Vnl2oq75gRnqXyEM2+TeHaaQaq FncTb02uyZ6wh8u71yfn8kZYnZxT5fp27YHknCuXt4bPVU53hT1W3ro2Ofc3 h7VqoFy0CXuJcrIl7OnycnnkjrAny4v1TNX6evVkcs3z3DNJs+j/d0afEe4F nfNXeKZplq1MzlVz7YnknCmXd2rPJee0NPdM0yzTb9VzzyjNpr3JtWwV1qpp tdwzTbNsF+yTe2ZpVikn++WeoZqdeqZq3SJ8rmquvdU0/G7aY5PDni+v13+y /wBdTWA1 "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl09dfTnEcwPHnQQjZu8hjz2wqM7vbbtz7Ax5/hZnsvYXMkBHKXtl77+xQ hDLD+7y6+Lze3/P9nYvfxTmRKVMzouFQKHRFXRTMMYpVnKLarMYONrARs9mE M9mMG9mUm9ics9iSOWzBLWzF2XyhN3qt9Xqsy0pwvp3x3MF24eo7deWe4G7M YzdeZU/uYw/uZy/eYD8eZF8eYn/e5EAe5gAWcBBvcSiPcgiPMZl3mcrjTOEJ DuN9juIZjuRZVmi0+Rxf6pUW6bk+6K3eaYR3huu0+Z4mmBdyqU5qoudTfKan uq10uzv8pq86osF2C7hED1So8Xbz+URp5jFKUr7n3jzAPrzGSbzOLyrXXnW3 m8fP+qQydbbrpLnmxSrVR+1WxH4XOzKLHZjL9tzJRM5hW25ja25lG2bykdap RO9VrEtq6HwtG3BN8P3xIutzdfBNchXr8QLrciVrcwXr8DwfarmKtEzj7Mdq hrkWYxRWTdXQdPu/+qffqtIfTdNP/VKlfui7gp9kcqj6f/kPiPlruQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{331, 330, 334, 744, 735, 736, 734, 738, 737, 632, 740, 741, 739, 743, 742, 633, 746, 747, 745, 749, 748, 634, 719, 811, 703, 733, 658, 731, 657, 732, 631, 333, 332, 331}], Line[CompressedData[" 1:eJwl08dOlUEYgOH/gAW7YkEBC9LUoCKWxNvwAlywNdEtidgFRIomqNgV7GBB FLE3itgLWDfegSAiipVnwuLNMzM5yZkz+U5a/rpVa2NRFLVqjcVq5cRF0Q5N jo+iOk7iOSayhBN5luN5hhNYzHE8zTE8xbEs4mieZAJPcBS3cyRrOZw1HMFt HMbjjOMxxnMrYzzK/zqiyH4L/+mw/uiQ/mqzfuugBnRAv7RJP7Vf/arWD23U d+3TN+1VnzaoR3v0RVXq1not9v33+UyVKtRX9apLb/VOpZris/V8rw96qGXO HnAaz3MqLzCJC5WjV/Y7lWt9kc+1S2Wa7uwSP+qTWrXcWQtf640ua6mzBu5W uZbYt7FRM6xTlKxF6nRWoTzrK3yhR1ph386ZvMpUNnEWOziH1zibzUzjY6bz OufyBjP4hFm8yUzeYjafcj5vcx7vcAHvcmWYuzCLYQ7DbIY3DW8W3i+8WXiP 8HuUrJRwx3DfcMdwrzCnYXbMd7c+66XuqUE1qlKRCmJD/4VBdeViuw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00dPVkEYgNHBTyP+AzeKgApSJFGI0qsaWX4msndnA/0NalwZNLFiLwj2 3sACiA0V7IqiKHasWLeeGxcnz2RubjJ5M5M8ry5emxBC6GT08BCmxUJoYIz1 xBEhzNcCNrCRTWTZH6vZulYn6wKdqst1ii7TcTTRzB720kgSO9nFdgrZQRG7 Wch+itlHCQdYxA/KGaKCn9Txmyp+MYM/LGEV61nHLFZE52SYM8Y1QedoTHM1 UefqSK3RUZqnK5nNUqpJt59GjnU+29jKTP5GM2ELm2mgklpy/LNYz1HGGUo5 G83LtyRWW+fqGq3nCIc4zEGOcZRkTnCS45zmFCm0cp4WLnKBVNpo5xKX6WA8 V7hKJ9e5xgS6uMkNbnMruhf0cIdu7nGXNB7wkPs85lE0K3p5yhP6eMYkXtDP c17xkgxe84YB3vGWTD7wkfd8YpAsvvCVz3znG9nE3eUqKqmgnDJKKaGYIgop IJ/psf9v4R/tcWqC "]], Line[CompressedData[" 1:eJwl0UcvhFEAhtGLGQu9dxJtgQ0W+AkSXUj0MoORSEgw2uiSiRYL/FidM7F4 cu6bb/El9zbHdia3s0IISb3mhLCsuBLa0o72dKiULnSjtLIjIdzykQ9qi4Zw zlZesJ3X3FSX8wDvdaoe+4xXSqjT7uedTtRtp3ipDXXYfZn/qdm5RU1atxu4 xkYes55x1jLGOh6xhqus4gqrechKLrOcS6zgAcu4yBIusJRJFnOehZxjEfdZ wFnmcYb53GMupxnhFKPcZVqDetaLntSr4PsEfzSu38x96Vuj+tSIvjL3pA8N 601DetdY5P89/wBO2i2B "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1334, 1333, 1426, 1573, 1700, 1610, 1699, 1611, 1701, 1654, 1834, 1655, 1676, 1675, 1576, 1703, 1704, 1702, 1706, 1705, 1577, 1677, 1841, 1678, 1842, 1657, 1837, 1689, 1836, 1575, 1835, 1693, 1692, 1691, 1612, 1656, 1828, 1574, 1334}], Line[CompressedData[" 1:eJwl0slXDmAUwOE3fGWO2MtWQqWUMUMLC9InlSENxkWHPX+ChRV2ha15SpE5 kjLPMkWmIjIn4ulYPOf3nnM39z3nji3fGN0QE0KoIRoJIYctZMSG0MlHOvjA e9J5RzuvecsbJtPGK1p5yQvSeMZzHvOUJ6TyiBbu85AHpHCXe9ziDreZxA1u cpXrXGMiTTRzmSs0MoFLNHCBi9STzDnOc5qznGE8dZyilpOcIImjHOMQRzjM OA5wkD3sYy/72caOvr/HhbBdx2gix70XUM1CatjUt6vZZs2lkip2MoVPLGIX u5lPJlvJ4jN5dBHlC1P5xmK+ks93pvGTJfyggG6m00MhvyjiNzPoZSl/WMZf ZhJj5+UadIX201k6QIu1v67UiGZrnJZorJbqQJ2tg7VMB2m5DtE5OkxX6VBd rcN1ro7QNRqva3WkztNRuk4TdL2O1hytcMslkf+3/Q9S32fg "]], Line[{1425, 1395, 1399, 1400, 1401, 1402, 1554, 1653, 1822, 1652, 1820, 1651, 1821, 1671, 1819, 1650, 1817, 1649, 1818, 1670, 1816, 1647, 1814, 1646, 1815, 1667, 1688, 1644, 1813, 1643, 1690, 1664, 1680, 1642, 1661, 1641, 1831, 1830, 1606, 1829, 1660, 1672, 1663, 1839, 1662, 1681, 1607, 1832, 1645, 1673, 1666, 1840, 1665, 1682, 1608, 1833, 1648, 1674, 1827, 1669, 1825, 1668, 1826, 1683, 1684, 1454, 1425}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.34999999999999987` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.34999999999999987` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdQV9e2xxErlmgssUXEa41iQ4MakaPGWAj2aOwaC5ZYo2KNYI0FGyga KzZsqCAqFvSnRhEREenlp9IFpEqxy8ud+X3WeXOcN1wnydx338tfzGfWXj/O 95x99l5r771Og/GzBk0yNjIymlDWyOiffx2XvG9lujpW98NvK3WjrTyVHtdm hnsOCRWubHztxRpbP+Fhpourel04Koz/iF6PYq93uyn+MP4w/jD+pU69jBw0 KVD8Yfxh/GH8vzcpP+2nHqHiD+MP4w/7JZd4NCrhnGLuW3NK56FRyqgZbg1M ggOE0/PGps/ZES5M+xKzGtuVmvJI2sO0h2n/bEvtsylW8dIepj1M+yHTzNre u50o7WHaw7TXfd3U80y/FGkPY/+iXqvW2yJTxQ5jdylsf3rhuGfC7x50bjk6 LVNJ2GO5YvKMSN1j+wOVWk/Yqdjq+g7MXxIkzP2Hj6wbZdXuK19h/G8mVEkb ej9c/GH8Yfxhnhfc/tS6o+U+cVZct5s+rf8kRlkb0nRHszPRwtin9zZPTs15 InYYu9u7PbnDlicIl488NLtL+WTheZ4nshu4PFVsa+zscsXhodi5/zB22uP/ eJ3XzDKfpwv3nnAxM/1whmLmWcV/t9tNsfM8tO3PWummP2iZLf2Z+0l/hrk/ MO25X7TX3j/6M/cHxk7/xQ5jp79ih7HTP2H6I/cLxk5/hOmP3C8YO/2z2sCk Mk8mHVcW9N/W7O6nkcruUm9dXDeEKhM3Ttpi75GsXNsUNW/QRT+lY9e5m5Rr 6crSzdN+Hj52o65Wg4wVXwxxF65ov/F40towpVPib137HoqU3+P3h615Z+u6 IUvacz95X3i+XB/+JQ9ttQz49KqS5VF438tYff70V5j7z/3BDmOPvLEhs+SV WMXW+GAT54Z6pa3Trqjui6J15qdPDDGfPVtxORXSwumHcOGCoPIO4X0eCp+O W324y8QAYd4/eE7DQpvg9jeFpwQGJtwuf06Y97P8F/uvZI+9LP0P5v5Y2m+9 2qTfeeEnsR6XLs7RiX/r1+nR6wbfEX+Y9rfMkkYcCbglvCs0d9hM/V3xz2hd 8tnGK8HiD9N+5pqioR2ygoQP7lnT3MgoRJ4Hz+f1t1OCdE+DhLm/8c12Hz21 K1ruP+MF7z9Mf+nZK/Zh/Sfxwq+9x3zq3DBR/h/9g+th/oSZD2HmN1g7X3G9 9G+Y8UT7PsBcP8z18r7y/3je3A/a018Z7/h/MPczyG565ZFfqvMN/Znr5f5y Pdi5XuyMZ36/6DIcbJOtGc9gnj9Mf+5ttiZwrF2E4r9weMSxQr28P7vcYkrX KaGX8azUyJ4ej6xiZPyy77+++jzbMBmfvvKwMY2y8ftgfnxsVLXbspf/nB8D 5rct+Ujx7GHaufyjSKXZ+s3WVtZ6JeV+QI/IeXrlWIjDdxXPhSkL+lof7lEu RblgdqHD8ar+itlxZ88neb+PRzfW/Lawa6R15VVRZ7OmrReOGfJs3Fz/A8Jh sVuDlm/zEe5q73FsdIurwtsGT0wMybwtHOA2J7jrJX/hfXrdrLPlgoW/WtnT burMh8LzNt+fsaROuLKi4oGz1ydG6S5UCRqx9vf717P/p8MHfxksXKVRyaJ7 Fa4Lc//hpODOk9O8riswv9+7e+yPPcxjhJNSfxj/Zmus4nGkZaXxa4Olfer4 q3YPfKI+8DctSJ1ayfqJ8KP7HdokDIxTbGx9V3+2N1YJvLrOo+jaY7G/Gvym 3bOmCcK9jlqf8YtJUPJ//dm7fvto5dS+sr2UkQmK69AZZ8rfjFLKB+qd/ALU 9hNaGns/8EwS9nL8ptXJCcnC98uYWJzr9FS47gjbU5sznkp/blWyWaDT5GTF 7maFHU41IiReWH9p+N6U+qGKpXmVoG5VVf8OcZW9dt5ME17dbrD5vPlq/zhw 6bM2P3+bIZxdccTJYe8z5P0q07JPzqGe6crbAy8GxC68J/GErfXAHFfHG4r/ ir2LBi1U/Su41DvzQ1iW8PCUcc27/JKtTG5+Y439hAMSf7TftqTUonrJ14gv aC/jl4Fl/DKwjF8G1sbnPF/eZ5j3S/v8tfE5du43TDzC+48/7zusjV9mnppo siQ2XuyMhwvdz1p0PvnfxkeDnfEBJn5Ztm58RE+zYIlnmD8OV/au17JyqrTX xjcWLU/UqdFRfT7ENxsH14q8f8NN9Nk2HVb3ZSmvD+7P9xkZh5/EnxA+PKpv ct8Xocr6CQF17m2KkPZVG0z59kWdSGXX0PcWgV2SlMPXK60vMT1CMa8Xv2Ka f5Ly+Sfba+zqGaTUnHLqdvS4NCWkzNtxzRYFKkbBWY7tYtKUqrVXPuvd4bxy vU9yl5zsTGXQphMVTNp4KBXSyvTpfDRL2eE7r+bBUaclXvLv3tf0wYv9Ou31 Pp4SljH293kHJp5i/qH92eodXqV29FFu7zLZU+ZKptLR8Y6JR2tf5buQ6YcO fpkp8Zb295mvKrZ7tfii/fkP8hn6B/kITHwB83ykveF5wnGZDw/N366X+ctv yJJ2F6fqlYyN3k5jfGIVo7H+n2zpGCv5R0DqRtczOTFKt7R2N0uPilOyTN1O X5sZo+wapt/oXCJeOdG31cnc/iEyn0432W9W0yREmTTStPnJq2p+EWxklPrO JVv0MP/1q+ibPjUxWtfmzobeuiFu1tUrLvKrW1ll+5ZetSe9CBP2bJnfxfte uDD3g9+r2t9861vvh2KP6pc2/fSTYOGf4ro7Zm++K5we5++/oeM9YeZjmPvL 73s07DTL1OQ3sVs29G6yYtwN4ax7PXd9Mf6scELgoBbjvc8LMz5J/Gl4/jur bPW4V9ZbfV/dhiab6K/LeCbxpsFekDkhZMHR34SnlvkpfndRgLSX+NJg3z/Y Icjk3n3h8hf8sly3hihxFba9v7UxRvrv4X6ljnw/JkQ45B9prmGjbwk3v3d2 cdCoi8Lf7r6/ffGcM8JdD5/cd0N3Ufo310N/4/8vrjwy8TOTaOFzdRPSm53X Kztt56+4ci1Q/AMbf7pgQ4pe2TVhfVjz+Chlylt74xRvvTLlVdlZIe1j5Pfp r/xev5tT4p/UUefXb54uyF+YGKe8dXeNDHKPVZKOz7/6fP9j8Sc+pv3Wr67M +s5VHV/PXF82d/T0ROXEtu8eG38SLfF082kvr/WxiFLcvNOmRPdPlN9j/sT/ TbWbWR3rq/Nz7V2rn3crSJb2vD/YJ2X6z6h3TB2vV851mtNkWarifOVlc5+c cOVqp1PTExonKzZtl3k42IUqVSasWzU9OUWd/wzzKf4P/B5klGirzteZti45 5cs+k/YS7xvsndwifky59Ewdr5vsmpW9OVO5HOBSoazPdckPyBe8Sry/cKFe pvwe8zH+hxY9Sg/onqWcuzQw+ET/3YqbW+3BHiOzle4tAwd+Yh+hxmMto0uX 7xumxm9xC3O6bQwUto13Htaps7/wqM3JzfptviX9xWzTvetD4/2FM1YZz6y+ IETYZlXBpVpuYcLkE3m3ho85E5iouPW5H1dv0HZ5X302fNVpQR1H4Wbdne8s d48R/zXdVldb80AvvDDZvkeOaYwyr6fjP1aNjVeahI+xiQ+7pRyf1toi0ueZ Uir7ZEBqx3uKrq+D3dfm6YpxkwnbR+4NVnzLhiuLt6ZKfvtNaFqb9IEXdcQf MPEHTDwL4+9fPzChVost4g/jD+MPN/HK/vqJ3yPJP9r66Po1eZMg/GD7L2/0 v8eB8Ix5/Y+5NH8mXGFwzSE23bOFw3dmOxqdyhVutHZwZOzFPOG5C3xa+twq EL5pV3eVc/AL4U+HOsTM0L8SHvdNYps+qW+Ez7Tv9Uuj/HfCRQ1PPioqKhJG D/EUemD0wOiB0QOjB0YPjB4YPTB6YPTA6IHRA6OHeBA9MHpg9MDogdEDowdG D4weGD0wemD0wOiB0UO8ih4YPTB6YPTA6IHRA6MHRg+MHhg9MHpg9GjXu4m3 0QejD0YfjD4YfTD6YPTB6IPRB6MPRh+MPhh9MPrIF9AHow9GH4w+GH0w+mD0 weiD0QejD0YfjD4Yfdr9BvId9MLohdELoxdGL4xeGL0wemH0wuiF0QujF0Yv jF4YveQb6IXRC6MXRi+MXhi9MHph9MLohdELoxdGL4xeGL0w+fq57xpEmHXK Ef0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+M/qk3Dtdw+TlX9MPo h9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6TVs1G1L65nPRD6MfRj+M fhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+gP3XVy24Iy+aIfRj+Mfhj9MPph 9MPoh9EPox9GP4x+GP0w+mH0w+iH0b+2bOuwNJsC0Q+jH0Y/jH4Y/TD6YfTD 6IfRD6MfRj+Mfhj9MPph9MPot553ttqozYWiH0Y/jH4Y/TD6YfTD6IfRD6Mf Rj+Mfhj9MPph9MPoh1k/JX+Htfvj5M+ynqbZDye/5X7K+rNhveuTCokFw2Nz hG8tsPsysP5z4YVJafOsJ+YJtxo445znsXzhxKs5ef/ILBDWXj/xJtdL/ML1 Md/hz/gPMx7CjA8w7wtM/2F/uVKeo1O54GzJnz3NEgaUmpIk+2mrQrP73V+U JusDrK8m3Bn50iY7TtYfYfI1R/eGR0qUTRY7jN109bOBF03TxA5j953g/X6m ZabYYewtD1wNr3o0R+ww9qVbGphnnX0udhh7oMPqFXev5Ysdxl5nVlrU4YBC scPYp43p29ox4qXYYewX+3qtHpnwWuww9nJdaugts96KHcb+vfkii6qv34sd 1ubD2vvP+hl2mP3ULTHfO5/aFSf9j/UqxguY/VD2U1k/7RC7Z6rnKA9Zb4BZ P59tprdo0NVbeNP85TNMOx3UsV5Me5j1CtZ/scPY+f/wfLfBuy6HPJH94ajT ua+qlUgStt94yT2gVqpw9enLBy9vkyE8/Egjo88b5Qgf27Z26IvWz4Vfrszw COmcL9xz7oCSp3sVCruOPzd83eCXwkkDa3lOHPtauH23pWW6/vhWeGWbuFF1 F7wXbtGsajmTn4s+2P+/EHvsiL3HY3k+5Gu8n5wvgRnveF51Xqc+SM1Jkff1 YO3FlRr1ypT9De36EP9/vW7joY4F8cLMD3CzfUMGZFdMEWa+gP2W1nt3pFG6 MPMHPHFk8vFRVlnCzCdwib1DT5o0zxVmfoEHOF0ukfxlnjDzDey2xHTY9W4F wsw/cNa0Fad3930hzHwEW49IKbVg+Cth5ifYqY/NyEGT3ggzX8H6jqe9Ws55 J8z8pT2PI/tBhveV+YvnAdMfON8h+z+G+Yv5HuZ8A+d96B/0B/zJFxnfOZ8E 48/zZ3yhf3A+guePnf6Bnecv+1OG/oGd54+d/oGd54+d/oGd54+d/oGd54+d /oGd54+d/oGd54+d/oGd54+d/oGd54+d/oGdeAY74wF2+gfrhYx3jA/YWX/D Tn/BzvhA/4LpX4wnMPM//sQn/D529ge069v/6nmZv+p8zLFyWa+m/onnY0Iu xzbwe+WpgwO7rtgcdttdV21Lk3H75sbJfoHXzKyKQzYkCffve+FShUOpwpkt ltndvJwh3LP0oXVWU3OEt+WXias5/7lwUuI0yzzHfGGL0CCnIKdC4RU3LRKP 73wpHOzl2mn14dfq/smB15vHeb4Vnr1lTEpn3/fC9D/2k7XnWYo7r/Kx500+ 9ryI9jwI99/KsmrNQ6dzhBOeeIdVKZcrnHNw+9AaeSq72naovtL2ubB75dqu v3TIE7a9dHlwwRaVRyzdE/5qSb6wURNrl8nhKldJq19j+vUC4QvON0KiaxcK E9/D2vmW+8/4CjOewoyfMOMlzPgIMx7CjH8w4x3M+AYznsGMX9rzLZxX0Z5P Ke78ifa8CeOHNp/hfIHshxvyGzmPZchvYPIbmPxGuz+p3Q/8s8+jMF7yPpHv wOQ3MPkMTP4i54cM+QpMfgKTj8DkHzD5Bkx+AZNP/NvOkxiev+QPhuf3yRr9 10vXnBfe912JHcHDduv+v5838TMbMa/j7+Pyv3qeoigrPyXEPlHa773v67Ju kzq+dPZY1bWruzq+RK+3zSy8qo4vvu3L349IV8eXio1mNjxbqI4vI6qFLNpo rM5HJ4wtg6d8os5HL3N/bdKjjjof9Y5/t7R+E3U+cg3+IfR1W3U+svZ3WZba oUi41totW7+4qbL2vEdx5zeKO19xre216qsuqOcfij3vZeivrAfRP9d88fxc 5CSVXTNCLfUDcqU960Uyf7nOz+9zQh3PbId/b99v+3Npz3qSzGfGr9r5Zqn+ Rn4x569H50l71ptkfpu1dG6rdipfsBhTYGFaIO1Zj8I+Sl901m2BytP2x7c/ Mr5Q8kX633dZzaxdq6v5olfRli0vpsXL85ngsP7CIgd1Puv/eFiX0yuShUuM GTShzY4UNR7yNUufuCtNeL9VnSpPT6cLb9id6lr3bKZwl7oJvnv9soSrd4lq kJakxk9Zb8PaN5+l9teJ5lYLb+Wo8ZRVRscNpZeo/fdcXbeg/W/V+Mopdk98 3Bp1vjSuUKrxknLqfBkTYNTR11nlQa8nLxlaXZ0/m1+euGnHPpXd0u49bGum zqcLj/sn/XRC5Zyo1s0qmavzq/9O8879LqisPc+iPU9Y3PkU7fnI4s6r8Pzj HAa8mFpR3T8jvid+gYlfYOIXmPgFJn6BiV9g4heY+AUmfoGJX2DiF5j4BSbe 1eohPkMPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MHpg8h/ORxNvwzxPmPacn6Y9 THuY9pyvpj1Me5j2nL+mPUx7WOqBDPkg+SRMPgmTT8p6s8Gf/BF/GH8Yfxh/ 8k38Yfxh/GH8iYfxh/GH8YfxJ7/FH8Yfxh/Gn/gbfxh/GH8Yf/Jp/GH8Yfxh /Bmf8Ifxh/GH8ScfwB/GH8Yfxp98AX8Yf5j25BO0h7GTX5D/EK9KvaWhPkHq Kw0s9Z2G88GyH2Ww0/9h2b8ytMef88LYYeycD8YOY+d8O3aY65X6WMP1wVyf tj6W+If4mfiG+Jz4BX/uF/9fO15p75d2/NLaGY/4PRg74w92GDvjDXZtfRt6 +f8w6+vsbzA/s78BU99Je+Yb1lepb8MOE29p6+W0v8/9k/pwTb0c9Yow9Yc8 H9kvMrDUfxqep9R/Ghg7zx87jJ39RK6H9W6Y9WmYfFn2gwyMPvJn7DB28mns MHbya+wwdvJt7DB28m/JTw2MnXwcO4yd/Bw7jJ18HTuMnfwdO4ydfB47jJ38 HjuMnf5BvSpMPTL1vfRH6nlh6nVh6nVhxmcty36sob+z3g1TX0z/Yr0Bf6kP oF7HsB4Os7+JP/kh/lIfYGjPejlM/azUGxvWM6XemHoAQ3vWw2HW0/Fn/QN/ qQ8wtGd/Btbut7I+KvX21AMY2rM/D7OfI/VEhvwWf209MPs9Uq9s2C/En/VX /GU91tBeW5/OeQLqwXn+zK8w9eAw8zMs9cDs5xtY6ukMTPwFa+uJpV7OwMQ7 MPELrI1HmM94H9x1AaVGns+T+0P8Qf+Pb21s12W9Oj9q50viD/S77ll95ExQ rozH2vmUeIT7+a2JSXKDannq/9PUixM/yPciDMz8QX0895vr4322Svlttb25 Gj9xPbz/uYN63U6drcZLvM9cH9fD72NHL3bmW9bHmG9hrp/1B/I17ORrMPka TL4Gk6/B5Gsw+RpMvgaTr8HkazD5Gky+BpOvwWstRkxfVC5W4pfLMTMdYxfr JV5Z3Kv2q+31H32QH7Fey/t48nDKV5XWqfFxP2/PT5OT1eeXFF552imz3+Mx x2rnU7/RKw636mctWhugNE91TPCu/UhZ0+FeY4voEMX5l9Nn4kxDlXNrG44O tjire1l95EXHV5HKO9MB9SqfOPyH68XLhXk/TBsRKfHcy3TvzU+yo5UwH6te e3WXiq0nNwtpNbxoRazSY+mru+WqqPZ/tb5cW9/9764319YPF1dvXlx9+R+t H/+j9eDF1Xe/H+MzvJaVt4w301c5VxpocVfGF7PUTc7P24TLeOs3a0ztA48f SvxsuaPGpYkpoR/kE4wP2vrw9M/bPJh6J0ryCdpfej+/pO86tX/+u+rHi6sP 19aDF1f/ra3v1tZzb1n3U/2Kljdk/mH+6na3xA/jrXKVt+3yhy66FyzzDfNV 5xQLXfSa58XWgxsHfb0qd7WPrlTjao4vTHKVWz5zFraPuae7MHt6u4LBz5WK y3QmjqMjdFaXazYbtilPcbrpbJzxdYiSMedW+fgfL+gOR5TwuXYmXLE/kX0q ue5WXX63U0XNG+vl+V7uNi1WPyBW+JNK5/tXGxKldMwcfurN7eMf1J+fvZMR Xretm25K6avbJ43JUXqs7+xUePY33ZGX62Nqe+UqUQfG/T7Ehugcx2z+smTe c2XL3C9qfekTo3s96tLM4U3yZbxVHizWh3fLV4ZOSB40r1KU/H/jUqabPnsc oXjsfOngvvQXmX8Z36992/jEnGpB0t7S9uTzSr4PhC+uqud+tSBUeNmqmOWz GqjMfP121S4fCyO3P1zPHnXNy8xhVpiSGre5yrCD7pI/2l2oZqcb5qJzmm+V HB4RJvkm+anNF51+ml3GUzcgwKvo1aVwyR+4PqmHLqYefuEds8KILRGS/6WW +zl0dYkYiU+me75otsgsRtk51mX7sYVXlM+Xv1yq3IlRYn/+yfNBynUlePLn HtaxsbL+UbVahOLaQK/03uO8e9zou0q/4e5v+qToZf3DxiNrxORCvRK0xyTh hNXDP73+fkC3OXu9Gz36YH0FO/eD/qD9nkXpQTk7avp4yP1rMCBqvnt19w/G M76vwPXwe+sPVshqOfWK2v5QTQe7y9eEX2+q+6ub0x3hFZu2DyiVdFt9Xh9Z v05+Lud5zCzWukx5Ir/XZ8tXEbNN44R/ddhnbts8QXhJ0dI6ja/HC5PP83t3 s+JmGwUmiv3pTOOVTS2ThDuMsYs27p4iXPtxjzuxkcnC5P/83uT7x+r5JD4V ++q+Aa0f900VDrdqtebS8HRhH9+K85yz04RZL+D3SnvMDpjx5pnYG5o767dN yhCeW7fQYvacLOEhu8PM+pRVmfUFfm/QN3s6O5vkiH1c6VO3jlirXO7d41ku PXLV52kVlOJQWWXWI/g9t/ZGzjNqPBe7Z36VusttVB6W0d1v5oA84d7mFl1G 1lWZ9Qt+L6fhxNTeDfLFbpQ0b86ooSofi3X/3GZUgfDOuq4ulk1VZr2D37Ou 5m/dqGWh2PuFRt3pMF7lwoDycxtPeSGcUv512qftVGZ9hN/bZGy+vajjS7Hv u2llWm2myj0vz7xrNO+VOv6+Ht0101pl1lP4PX3u5mcxPV6LPcPLbV7WIpW3 HQ+pr3d4I7wq7Yarv43KrL/we+bxed0uDHgrdqsDpe7dXa1y0k5Le58N74TD ohpnHhqqMus1/N7S4O93bh31Xuzrt0xpcGSryhZrdwU67ygSbuS/7muH8Sp/ 7PcnyuTbDNTbxSo1m749Mnn8rY/+HkWtxB9XTt2nV/qfGtl0Q9h95Sdrr+Tq IXqlq12Ncs8bBisRsW1aZDd8pJSzqTB31PFQ5XL5cs9WNn2kVPF/f/TwtPAP vh/zv/37FsV9n+Bjv2/xsd+z+Ku/V/FXf4+iuO9NTHZvcL/G2PG6hZ4WBefL 5Pzl35u4cXFFnbELXGR9h3gq42zY3cYtchS7M6O/Xv9LlM5/3OlB/jF5yj+c W10bdDda9otYL9pz492Ro2/y1PWcrq9mVjyXp1Rv4T7ssX2krCf5XXacHb38 jO7i48SlvudyFMv5g3PmXL+jK1wd2rZEyefK+p6L5rl0DNM5/VDbsl63PEX7 /Yo9R8aPyC2KUgbV+vnX2VleyuXzRv33TNbpvouy2f/ZmFzlRbNvq9Y3CtYl XRzypOCQWj9IfkV+AmMn3sOu3X/Qnm8k32J9BmZ9BmZ9BmZ9BmZ9BmZ9BmZ9 BmZ9BmZ9BmZ9BmZ9BmZ9BkYP+SF6YPTA6IHRA6MHRg+MHhg9MHpg9MDogdED o4f8Fj0wemD0wOiB0QOjB0YPjB4YPTB6YPTA6IHRQ36OHhg9MHpg9MDogdED owdGD4weGD0wemD0aL8Prd2vJh/Hrt2vZryhPUx7mHyW87H4w/jD+MP4c74Z fxh/GH+YfEjquwz5lHY9R77fbMg35HvPhnwBJt6Hiddh4m35fqAhXoaJd2Hi VZh4EyZehIn3YOI1mOer1SPfnzbogdEDowdGj+T3Bj0wemD0wOiB0QOjB0YP jB7teQDW73j+MPk163n0F5j5kPOL9C9t/SzzESz1gob+oz3PpT1PoZ2PsDM+ wIwPMOMDzPgAMz7AjA8w4wPM+AAzPsCMDzB6uN9cP8z1w1w/zPXDXD/M9cNc P8z1w1w/zPXDXL/2++ms99JfGN/oH4xn9AfGK/a32I9i/4j9J/abiJ/Yv9ae p8Cf/S3229jPYj+NeM3I3qnRtu/V/giz3sXv0/+062Ha76PL+V/D9XD9rK9p 19u046FWj+wXUt9lWL+R+i4Dcz/4/jXtyf9oD2Mnv8MOs/7E9cHaelyul3pB 7fkU9h+p18VO/SBM/S5M/SBMPS9M/SBMfS9M/SBMvS9M/SBM/S9M/SBMPTBM /SBMfTBM/SBMvTBM/SBM/TBM/SBMPTFM/aD2fmu/Z05/5H1kPKa/yvlzQ3ve D1i7/814jb+cRze05/2BR5r363H/Vb74cx4dfzmfzvp1QuWJZfaoXOXXhysV a/V8utRbGVjqhQws33sxvN+ML4w36KG91BMZmPhHzqsY9vd5X5hf6P/0b+zE 39h5HtiJZ7FzHkdbX/n3fvnH7Zf/2fvjxdWDFrd/Xtz+t3Z/+/9afekfrd/U 7hcXV8+p3U/+s+s7eT+Z/7T7PR+7f13cfjXv8/+0//SfVk+qPQ+gra8qbr9a Wx9a3P71x9aPfux+dnH7eX/2fndx6+faerT/9P1vbb3cX72fra3X+7fvX/+H 1xd/bL3vn73f/ff+9d/713/vX//n7l9r96OL21/W1sv/X6uHZ7yU7xH+L6sf /7s+/K+tD/+r95+15ye13zsobn9avn9zcuTlVQVzdR+7P53zTevxj8weKdum zNnbtH2E8l9gHqWM "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl1lU1VUUxveRK8ogcLmCwAUuCCIpiqIgxKSimChmlkmoDeaAplJJk2U2 mAIPrea1mkdtrtVo86qeavXQPE+reVpl9dDoqr6v/bng4bfOued//vvs/e19 9h9K1/Qu2zrCzGLBLAnj8aARlIGNoAeMBieDZlABTgRNoBzkgbEgByQDmDHa ywApIBWM0hrtrwNrQQSk6R0+z9Rerk2VzXFay5S9FjBR81ZQqWeTwSSQBapA VO8PggHQDbaAzSAd9IM9oEv2R8qPzbJHH/IVUy4oBgUgDqZrXgT6wDbtnSZ/ +WwmmAEKwXIwC5SCGr2XAJeAXbI9QXoHaV8uvXrkyyH9Rg3TOFl+x3VunmLq lt9rtT9Je9OGxZqq3KRIyzHKZ4X2U/+50nAJOELxcKyVz9WKO1fn5dtQLeTJ p6OUmyz9jkuf3Yq/VvrF9U6BbFOjemmWULxl0oD5P0w+J8ln1tJJYLW0/A1c A1ZJ44RsHgs6wWzluVLxZ8juGPk6Sc9HKBc8p0E+lUiLYvlNnaoUd7t5HTCO NmlEfeZJU2owB0wBMbDAvJ7oWweoU8wLzWuFfhfqPJ612LyWxsuPeu2pUkxR +dskn6lZo+JYJZ949oDGXOnXLA0Zd+swbVqkzTL5TZ+PBIt0Nu8S70yafE/I /y7pEdXzLdK1RjEXKe52aXUqOE77D9VZsWLq1HqddElIgw6ddbR0oSa8d0tk gz6u0J4LFENMe/nO4eb1eYx5jdLmctlZoTnfbVDM9YqJseVIs6XSrV7ncX+/ YsnW2CX/eRd5J0fr/W7pfxpYqf2s3dXK26DWY3pvnd5lPk9QniN6xlyzV5+i nJwDNml/pnKQJRsbtL5SPmTrd498PFe6cP/ZYL0N9eoe2V8vWxGtbdT6Js1p b6d0p/9bzWsgXWcOKPbzFT99OM+8DqLa2ysfzgQXmt8D1uDp5rU7H5xh3ncI +wh7SFxz7u/T+4XK6VnK6w6dnS3Ntsu3DdKO/lfrjHyd06d5rzTKUn53yE6n YohK252Kfal0jMjvNsW+TTbpG2uafarEvC/u1rxWv4tlc1D6kT02VGOsuS7B 9RwbuucxrfVr/4DscP068LF83K48UYdbaCN4rD+D28z74y75UyKf+Jt3+Sba Dq7lL+B28/5xA8gMriv7Ivsge+Cv4A7zfnMXNQjew9i31pj3pDjW9pnXxDdg r/k95d47zfcvxLwDXIz5XIxtwfPxO/hDOazA2gM6/wvwnPmd/gv8LY3nYc/8 4DmbgfFJ835Th/nT5r1hMuYPm/et8Zjfa97TE5jfbV7HP4Efzb8zr4BvzXvY FaAmeF97Rnb/72EYrzb3/wn5RH+mY/1x8372lHyiP80YD5r3rpbguWFeXgCN wddfAq3Be/fLYE7wnj47eG6Yl8vBouD1PRXjo+a9ORfzS82/r1+Dr8x7ZTXW 3zLv3TMxf9u8F48Lfh7PehO0B7+recHP5rlFwbWgDmWYv2r+zfwSXGXebydi /TXVx5/yj75VYf0N8+/Ed+B78379KbjHvKd/Am4171kPsaaC3/nFGN8378sf go/M7+iL0pFaHZR2nH8G9ktzavO6fKCuz2vPLMzfM//2dGL+rGrpHfC5+b1o oO3gvaYJ4wfm35wr5RP9+QEcUOyBf9wE/7ubGk8JrjNr813Vw37VBH170Lym Wc/3qRZZh1GMN5r3YOZnWvAc3W9+H3gXHlO+mesUjKnB71syxpHB/67PwHi9 eY8/oDzRz3SspwX/P+AR8/vAu1CCsTR4X07CGAn+fWLeKoPnLj/4ned9/wf8 a/6dW8A7AS4yv5fUlHpSs/rgulHv2uCaj8V4s3mfugxMCN5PWTvlweuH9VUc vMbYMwqC9w2ec635Wf8BkL35qA== "]], Polygon[CompressedData[" 1:eJwtlGdsiFEUhu+t2nvvUS1qVEtq1KrSobZaEbuCIFrEVjvxByH23rH3ihli JoJEJERsYo8/RvhhPG/O/fHk3HPv/e493z3vOVHZuVk5Ec65wRAJh6Gedy4V mwDb4QP0gV6wAyqwXl/7oCzjbdhcGA+f4RPUhr5wFTZAT2gLa2EFdILusA5W QhfoAafDHq0lQn3OP4adCpPhCzyGbtAPXsDLsLcaXAxn6qwkeAWvw7gWHIdG nJmObQL34ChMgTRYpn2sT8KmwE6oiN8OGwu3oCr+BGwe7IPvMBAmwm2o6W08 B9bAcugIg+AOPIcsmAerw526ayHsgep8315xwi6ohJ+MbQBFGS8NbzkC8uMv wbaBYeDwF2NawxBoin8G2yy8+Ru4Aq2gN6yCt2GsnMWw/yC2sTMNfIR30DBo 4ABEs6dD2BPF+Ac2ztmbXYMSzI3CTocbUA4/BzsTrkNp/LHYGXATnjnT1iwo yNpfZ3ocLh3gPwi5WwQboThzI53dke5NA8r9fCjp7Q6dPRqehJzlBc00YP1+ 2CtNlfcWg+6Whst4i1mxjoOTEM9cht7S2b/+DLnUPz+CS9DfmYafhjfQv0vz Rfi2ENRlnC0deNOItDEbzkIic5nY5s5ym4G/IOT4LmR604Y0sj/MpQQNSXup rM91psFv0MHb2QNCbEn400KM56EFfmdZ6cBbzapWteeytMRc16CRNG+anefs jvXOalqxKcYUadVbbUij0mJhb/8qTe4OMSkW1Uwcayec1Z7e9D18dVbL7eEP eG/ajYYIxgW8aTvG2VsW86Z9vWkdxoeUI2c1ttVZT1IvkuY2Qyn8Mc40F8v4 iLPeph5QBb+yt9qSxhMYnwq5Vk4eOtOgtKcaUm3lwx/qrMakxU1Ba9Kkeol6 lnqVekqkt39Q7PrmF/x21mviQ2xbgtYU47/wBvp31UBL1i+EXCknyepF3nqv elIzxueCdpTTGvh7nfUO1eh/ULqd8Q== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVmXn8l1MWx3/PuQapzIymyWSIkJAZZCcqS5ahtGmjXUUrEWVJRaFFiVJJ +76pVCqUkSSKKKQwWUMxGgYjnLfzeV5P88f5nbuc59zPOfc+93ye7++oNt3q d7WSkpI5/ie5fsz1aJfpWUnJta5buNT3djXXp7ts9nYr1/VcN3SZ5u2pLnVc 2rhc7WONXKZ4e7LLxS7jXMa61HCZ4PKESy2XSS4TXS50Ge/yuMsFLjNY3+Uy l57u63qXDllgnO1ypcs8l7kudV0WuMxnbZdZLjNdrnBZ6PKkSwOXm/359vLV 2KJ9k8st8t3R5VbpTi69pG9wuU36RpfbpTu73OnSzaW7y8Puc4TLsS59vN/F pavLHdLYDbdY826XflnExvr9pVm/r3CB9x5p7HprTfwOkC0Y7xM+cD2g9cA1 UGM8N0gaXPdLY7fc8SxzqeJyr/zha6kFxiEuQ4UXXMOkwfWQNHG84LLY5SmX 4/3ZJa5fJCfCiu/RWhuMIzUG9kekwfuE/A53GSXcPDNeazPX1P0Pdj3GZdw+ GB+Xxm5sFjbMTZC/ES4zXR7Ts5OEDyyTpcEyRfpRl4l6DrupGgPXcRZ+ZrhM 0xjxzZJv1p8tDcY50mCcK01M86SJe6EwgWWRNFgWKAawPCk9SfmeIlwjLbAs dVkmXDO1H1OF8VG3ecSlKu+K1sTv07IF+wrhBu9zWdix/kqNgf0ZabA/K43d KtmCcbn84Wu1xojveWni+6f0Yu0P56i/8o3m3KzN4iwR1/cun7p85vKKsIJr nWImjpelWX+T1mbN9RrjmdeFlblX5YOYNioe4n5NGrsNmmfuDfkD+7taD98n ek7XZHE3bsmizfl/S5o43tRzvCtva+wll62KAV/vaIz+Nvkm1u3S4H1PGlzv S4P9A2mwfySsrFlNd/bHLjsUP7n5UBq7T/bBvlP4wPK59Fblfoti+kwau39p Tfx+IVtys0sxgP3fwoftbo0Rx1fSxPG1NHbfyBa8X8ofvvZoDOz/kSbWkyzi +9blO8VKTNQuatHVymv+fvygGIh1r9YA748aI+7/SRNTssDE+j9pjGfMIjbm fpYP4iuxiI2YMguN3S+aZ24/C3/EUcZiPXzvb0UcB1jo/7ocaKF5D/4mm9+5 LmUxRkylLWLA10EWY/TLWvgm1oMtNHh/b6HB9QcLDfY/Wmiw/91infIuf1Yb jOUs4ic3f5ImpgqaB3tF4QPLYdJgPFTzxPQXaewO0Zr4/atsyc0RFjGAvbLw YVtJY8RxpDRxHCWN3dGyBe/h8oevYzQGdvhMA4+9bhYcBl5TT3n/RGefd/w0 veeNLLhMuyw4C1wGXrFK7wHvA9wHTgSHgO/AceAZ8B04ETwD3gTHgVvMFpeh vs8Vl4E3TBeXgXPAa+A+8AC4Bnziriy4DxwHjgGvgTPAIXIeA1cAX0/NgeMW 9a+x4EM9soLfwAHwBY+AJ7Beb82Br4/6Ob/pkxV8BX5A7aX2jdEa/TQHFur+ AK1xn/o5B+onrAPUZ72BsmMduAN8AM6yVDwg5zcDs4Lf0IezwAeGZAV3GZoV 3GWY1huufl57hmv9h9UH30j1c74yUus9qj7rjVKf9Uer38yCr8AVcn5JrHmN 2ah96iu8OdfspfWo8zkHQedcBp1zJfT4rOAxk4SDug8/YG3q+wyNwQkWZwXX maw+dYn6BEcYKQ6X85hZWpP6Pj8rOMrCrOAxc7Xfs7RezntmZwV3WSB8C9Un R9OEK+dGc4SVe3qpfD2d/X+NX5cV/OMZPUMdX5EVHGWlsCzXczn/WC0cq7QP T2qM/jDF87jifE5rzJbv5VnBXfB1ggXfXaO59cIHburNWuFepz4+XpHds9r/ DcL6quaW6Dl4Q85rxymmDbIborGx2mvOImewtO7Nw6yoH9zF+KNWvyXs8ALq Prip6ZuzgltszwrusiUr+Mc2xfCOfBEndXmr4tmm/jqNvZMVHOW9rOAN3KWc feo7tZ77cof6OS/ZkRWc5n1h/UhzW+Qj5yzoj4Vpp9bIuctOYflCffB9qT54 d6nPOtTnr4XjG/VzjrI7KzjKV8K3R3asT534Tri+Vz/nKHuEj/lvlcvdWhus P+iZnHP8qHlq8c/C+pPmwLpX/V2a3ytMJarfO+Xjh6zgHyXiKab6Cu6kOgu+ /VS/V2sP2JPnlfdNWcE/DhBPKaPaDO5Sqt+sd5DqeKaaS/0FS2nV/pxbUJuJ oazqcc5FDraCi9DP+UpZYS0nv2VUyznr8BF4SXmd9QrqHyCeUcEKjlJuH85x qBW8JOcpFTVXVpzjcGGqpH7OMyrtwzOOVEyV1T/H5RSLb+qnXW5Wu5w4x9Ga P1a1+1zXp1p8U57nUn2fOwXNuzha89yLzFfV/XyI/LH22Rb3Ec+dYcH7OXfL tR5rnWnBlTmHZ1nwSPJ3sgXPK691TlXN4vceeA/v2UOuewkfv+XwO017Yawu PPjdXz6pS9yh3NOlkuchRW72ulySAhP5oZZTx1n/LD2LX/zDWa53XdOlibdv UX6rKNbzlKvTFD+x81vT+bKvKZy022v8mix+a2KuaRa/QV3k0jyL9eBy8KMO rmvLBp4DH4MTdZR9syzma8mGsQs1PkHP0r7Egu/hH7/YwAXAUkN46GMDX+tk 8Qz2l1vww2uzmINPwhFucH2pS4ssdB21p2kce7gcvBHuxjP4YYzf1vB7nbf/ YWFDu7NFn/ZVFjyzJbG7rufSKgtfjMMBu1jYYTNFmMGAbV3Zz5ENbZ5hnFzO k8/W3q5vkVvas4ShpfLTW3t3ozATVzeLZ7Dvb5EL1mVv4MD8FtfddUOXNlmc YzgY3KS5BSdjjNw3Uv4Xu15kwYMX6tm2Gocfw/NHWbzL+Gqi8R4ax+eD3m5t 8S3B9wO/mfL9ybdnO4t24yx+q6wvbHxjYM93B+9cc2G7zuK319zHtXoWW9bg W4Wxlhp/StjhkqzHNwy+21q0+Qa+2+LsciZvt3gfiL2PxTvWRGu1k/2dFu8A Z/t+i/1mX+6xOKOcz3st9oZ9GWhxhjg/D1qcG/Z9mMV+EG9Pi3e4inLcQ3km lzcpz+Btqxw2Vc4H69mblWd0T/kh97dqnHuIO4r7cYjFWeGcsFYDYVhpcedw H5K/25RDzlof5aGvRZzNdR/w/ca7e4dFXsgJ9/cI+bnLIr/N9M7epzzwTvSz 4j0doFyh71Wb+f6y4bmBenaoRe7APFjxtNa7+YByi35Q7UEW+9RS7+Bg2fM+ DdI4526ofHJ3cqf/dndbnCG+J1dI3607ra/ysETxcua56/lGgOeSa74ZGEPz OyP/O6Bm8b8E6gm29KlfY9RmbIyena49HaV9bKY2+889epdy+4ie4Vm+u8dr L7jjx2rv0OPUHi376XrfmWuvuwUbxi6QL+5+4ntYMdaUf+Zryaap7u8nhGeR fLTXO7hEz/I9vkB5xp5v/vyOn6h8ch9P1RlAT1ObnFOTeA57fkfg7p+o8eY6 V1M0X0d+uOMnazw/b9M0zxngbr1CMl1nDD1DbWKaoLhmyr6lcGKX1xPmOuuc 8yzz1AR+v+ii+jBTz9YR/ha6+2frrKLnqM3dT766qT1X5xY9T+26Gu+qs804 Y/xvh/u6re7++cp5feUffw1k1133wEKNcV8u0t5xJ3Dul2qMe7+d7qXFsr1K mImP94P95r5trHYPnZ8lmuf83KEzw/2F7yE6h4vkv7ZyzvmCl8Hb4Gx8l/NN zrfmBc6Vtljcpztd6qew/cKlUQoOt5t9S8HjPiU3KfhfC9dfW9z3z7u8pHW7 +Xj3FHdED9c3pbgXaru+MMW9vMulSQpe9oLLOot3c38fuyaJq7lumIJXNk0x x3jjFHOMN3C9X4rYXnb5wOJ97OJjXVPcYcxfLZufwZuiHn7o0isF11uqPeJe ynysdwreB67twrZGa+D/Y859Cv56oOtVFvd8S2+3SrE3h7mumIIHtHXdLsV9 h2+Tf2rFSq3/isvRKepGfldy/6+QDW14LZyb2tTabdukuL/au74+xX0PllNT 4LnRdecUd/T7LpemqGdbXS5KURe5G+HKnKPq7EmKOn1QCm4NJ67q+pgU/ID8 /WKRw07eviFFbengumNSHXJ9XYq6d5Lr41PU3StT5JfYk+urUnwHcM7Yz9++ HXxsowU/2OZycYp6+K7LTxbtM31sgwW3ON3bqy34RmVvr7fgOM+5VEvBN9ir jyz2C9u1siemKoqLc/2JxdmulwIf2J51OS4FZ/jK281T1PUdLvxTmxp1vuvN FjzmPG+/YcFdOONfWpzzmt5+y4I31PL22xbchTP4osU5rOHtNy24zrne3mTB QS/39hUp+Mc5rl+34Em8r59ZvLNne/s1Cx7Gu/u58nqEtw9PwSuX6fxwlk5O kSPyw/6cqD0i3+8qz5eliJMYy3i7dIpvytNcv2rB805IkSPycyx3RgoOydk/ Q+d/mc4Y55bzdYrO2K9XZCmS "]], Polygon[CompressedData[" 1:eJwtlPVPl1EUxr/c46azO2aiQxwmiGKLMcQcYqCgohIKEqLY3R2bm5t/gX+F v9ib3TFFnV2zOz/PzvvDZ+c8975x76n4+ZXZFSEWixVALahtsdhjFpJgIByD zqzNwWbHxWL18P/ip8BgOAOzWFuFzWH/IXYl+gj2KPoytgl6NHYhfIZB6BLs Jvik/5jvbYBL0Bg9ErsAPkAauhi7Bh5BffN/J8IVaIrOCP7NXzACvRh7ADLw 72ETIBluQWvWsrGVcA2ao8dhF8E3GIouw+6Aq9AMnYkthR8wHK2g7YH2+O0g B38G/IR082/vgxPQwXyvinjcx45BV+t9dA22LnoQdhl8h2HocuwueA+p6KLg MV6K/ye6i975CkPMz74NbkIrdFbwM35RnszPvgVuQxv01OAx6oTfEXLx8+AG tERPCn6G69ACPSF4TIJ5jag2UuECNEQPC37GasUSVuAfhCcw0fzZ7tADvycU 4E/j/in4faEQPR2djN/HfE9r3fGTdN44f+cZZKH76VtRLqtgf/CcVpjnSLnZ rTua50S52Bvdrdx8T3dcYl4zqpX9UewqzZ/Niu6+CHYGj0EifjeYF/xMp7EN 0EOC98x4/LF6JngMVBt39Z/gNTIafRxbGOdro9B3sAXoqig3I8195ai/7mre W9PQmfgno9pZHjx3D4L7yuFZaGv+rP6hWquJaks19y/KuXKtHo7HP4/Nh9nQ FZ0AU+L8jmXmNalaVAxKzXtEvbE9urtyrlwrBnPxP2LXwVr4rX+zdih4DzbC zzffSw/e6/NgffCen2Pe8+r11TDffEZoNuiZGHo5HA4e41z8t9je0Ec5RT+N ak01koN+je0FA2Ay+nlUO/0VY/RLbE9Ig3NRTBQLzTzNrgLYGHyGFZv3lHpp c/DZU2TuawZplpSYx0YzZaF5j6o3twY/+6ngs1F30KzUTNMsOxLFSjNDs0Ix 0+xZYP6uZtAbmGl+F925C/47fSfKYaH5jNVs1ZnVm7PNY6kezcOvY95reucF TDGPhWLwCqabx0IxuxjlTLnSDFZuB5jPZuX4PwY1rX0= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHncz1UWx39876XIUiqSFlooaXsUlVbRJiRNtGCmmqZlqD+aNu2LYdqV 5emRYugJIzOZCKFJGY2tUvIUialmon2ypubzfp3P76U/Pq9zv/d3l3PPPedz zv21/M2gXgNrl0qlebVKpUKySSqV9hSe0McsYZ4wV2irvumS04QKtedIzhQ6 qD2/iO+/CTOEl4Ue6l8o+bpwktoLihg327K8Lr//w98LfvHN3DeFSzS3r/CR 2i95z/Ies63ja96DdStyqXSc0Ezf5wgnCK+qfy/1NRV20/dRKdbhPOenmPuG 2r0kLxXe8h5zvAd79/UZsA02Gq723lrvGrUfUbu52i2Ehvp+0Wuj7xjhOeFZ oZt+O09Y470W+YwXq/2O5NPCEuETYYRwufq3ST4v/E/4UlgrXOg1Fln/j2y7 ZcI6z+2p/tW242LhY+F2oXWKO5wiTBQmC5OEg1L0VQuVwjPWfYXb6Fblc4wV Rvv3Kus3xWu97/MyZ4v3GOc9sMtUj5vm7/7a90fvO9U2w4+WCuuFkUInjTnF d9RYNt5DqKfvwcLXKWy2GjuksNP7kkOElWpPkFycwm6rJGuE722HNsJf1T5V 650m7KPvvxfhH9xfV8l2HvOp5C3CJrU/l7xV2Gx/ZPwrkltZS+3xkr1T3BO+ VEtrF0LSd23JqySHqX+H5JXCUN8TPoE/bBdOV/vPkvdIfmL/+FHyJ9YQTtc6 ZwjN1f5O+JbfvMaF9i1kL+uwu8b+Tu2Hre/R1rmu+n+r9p+KsMfhPm8XycOE v6h9mMa0zeH7+0peK/loEb+38RjmtLVv1deYBsIu5okKxyB7Hut9p3s89t5N Y69W+yG16zBPqJPi9yPKd6K+gY67Y6w//Qer/1B8Qt+HSF4v+bj6z0oxjjFH qv9oYW99Hyh5neRj6j9A7ZZCY+tUYV44XH2/Nwe2sw6cD3mk1yS+LnCMcTef Okbw//86Bvayvg8KTdV+UnKI43up47SJ93lAaGS97uO+fI77i+CeHuafGY6P lxwXcNdr9h94E/5s4Pu51zq3tf71zVX3CLvaF+7Ghini/wXPZf/HrAN6PeFY neTYvdR+tdBxPNnxn+1HdxbBVXAO3FPLPj5YKOz7d+B7vvO7bAfsNNy+8aLX xr9a28faSx5vXwId7F/z3cYOZ0se5/t8W/hKGFVEX/tf3HN7r3Ou5Mme21Hy RLfJGx3Tzn06uh+7T7V+2BBbPlLszG3lnPGy7wo/Pco+M9Pzp3vcDPdhp41F 8DN3PM/r1QgbiuBc9K2w/vw+y/ugVwfryd3P9e+rhC+K4Gr8EL/D/36y/y2x n35gX8V/V9iHl9t22G2zx5V5vcb6fO4+eH6Tv5mPT5M/yA+/StGGwz8T3i0i X/xHeM+6rfd+I43l3netfWeox37muSu8F/uu9Fpjvfa/ve9gz8Wel6Xw19XW e5XHr7MNRhhLvT9rLPM62OZDn5v4/aPkU9anyuuM8VjOiW/j+8QAsYBf49+l FOdkD2IB3x/mfUZ4/mLrzXmJC+KS+IQT4AC4gPglpontb31H2At+oE76p+1S 6XskJsnN1T5HTbGzFqmy7tQe3NMo23C0f6u0btjkC9t6rOeP8T7E/UTv0S9F vULOH5Air1O7XATnpsjxG2x/9ifmOjmm7pD8JsV9/CC5SfhZ7Y3wYQq9v8L+ Ke7kUclu4uhWkhvgsRTrsseB5rGPJd8TviuCzxrYdjfC7TlqsaeFfjk45Snh ohz5bzj8Rl5JwWPUC8ToSH33yZED9hcOECaov6XPSJtYaW49O6f4jf7TJFuk qA06a43HU9zJHMk1Kez7puTkFD69o4g9mHuG5H4p6oGZ3LPvepbkohT5nTPD 4dw1NW5954Axkr/OwWvVthFjb9f3Gyn4cYf7WX+772+b5Xb383t/67Bvilpn nO9/i32gk/Z5IEV8cO+sO8Frsh5nH6v+K3PUc6w3wGu28F7j7Utb3b4NH0nB j6OJ5Rw1xPNes9qyv8+HD/aznbf4m7FbvS598MFltts7km+niKdtHs/cjtrn 3hQxcabkIfYr7Ip94fyTNWZSCm6CY6kvyF/UdK+niOUh/o3c9pzkPHMRY+mH k5+VnJuijh8nOT9Ffc8c8iI5mFxMjQMPwENNzem8N/Bt8jV15c8puIX6pXWO 3E1ttWsOLuK90iSH/tRxzXL4CbVhwxycs17tG1PkBOqpVjn2pf46IscZT5B8 IQVfUj+mHLw3SO1jcpyLOmu/HLqdIzk1BZdsk5yYgoPLZ4PjsPHBaacv0ybv T/E37WWSy4VvHOutPP4KybXCD0XY74YcNjxfcloK7sHGr9jO3MNs38Vbkv8C RdgYfbAbsXWz/YSY+4PjDl3h5TKvNHSscSfNfKfUlI18Xx+m8OONntfY98VY 5pBTyGm8P8ip76aIT2KTvMFZ4fmF6rspxTvoLmIkRQ65QfL4HOtgI+olbEZt yPuQmoKYu95xd12OtVinu8fQ5m3azXagr7tttdoxQ70H91Fbl2vgHrYJMUnt RX0C11BXwe035eBu+BDeHWTuXeP9eKd0xXdScBw5NNmHk7/xqy4aMywFTwzM vjNiU+2hKTiJPEY+I/fB6bz/qYuu0JhnUuScabYP9TD+daj9irzNXuRm3l5w LryEf51pH8OPrs3hS9Qn5Aby9jU58hA5CHv0tU3QpU+K90H7HLHxpP0WfoQb eaP1tj14T/T03C2Sm1PUDuRmzkYuJp919tw+Pi+/w7WsCU+TQ07JkUfIZ119 Xs7axeeFt07MwV2VXh+7EdPbU8T1Ap+HupLYfTVF/PLGJZ+N9+897RvE9Pcp 4po36zqf/cEUuYG8cF8KboVXF6R4n2PLUo73LW/bnOPNzP3vmePNz3u/Xo73 IW/DfXL8pwMXH5TjLUdcUdtSO1BrVad4P6MDvoWNuNP9c/xfQ9x2yPGfEbHY KMfblXfrEuHuFDXWVbyRc5ybGP66iNqS+LvTMUgtwN1wLx/gOylqBvIKnMQ6 5CDyD3mTeof/L6h5vkwRJ8TI1bzTc/jgWZJn56gDatk25JR2Od7kvMePzfG+ JZ9cIjkqxbuX+pE6khr0cvVXpngDXaz2iBTvWt4v2BXOx6bUrOX3GG1i4n58 IUXdTU44KUdeqG2dym852tSvbXK8yeHRAZJVKd5S5Tcneq2QXGl7UQf1yFEL UZ/V91j2r+PYr2ddyVkXkNNS5Aruqa71P4+clqLe6k3+SfH/RF2P41zdc9SU NeZG6k947/9Pf9VQ "]], Polygon[CompressedData[" 1:eJwtlWnQl2MUxv/Tcw5pEqVRKLyVJEU1Sl7tRUmWEiVZqkGWqWyVD2Gytu+2 ssUMHxhjJ3ywZAxatZfKEokkWtCoftdcz4ffe65zP89z/+/3vs+57qrhoweM qlGpVCZCwLP8GZ6VSidiZ2iIPgFqo2cUlcou4l9wEL0E/kZPCOsfYA/6n/Bk S8l/Im6DfehVsBS9Enajl8PP6F9gP3oNHEDfD8v0LUxCb4d/0ScRP4TxrGco 8TvGqtEPor/VXPABehxjQ4ibyLugH0GvRm+Hyehf4QC6EXEK7ID/yRsTP4aP YC35DpiKXqX/GX0K8Srme4J4FrSCK8jnEVtCCxhKPp/YAc6B68mfIVZDR7ia /CliO2gDt5LfAuuZ/zfoi57BeBM4FS4nn0NsDs3gbuiV3ouFvD+TeEn62w1w Pvqh8F5vgwe0N/AHegVcxvNL0+9uhOnh39RvVcF7MCJ99n3hHbiWvD2xD3yj fYc9fLsVdqOHwfeFa2Kc1sj7A4lfkY8n3qkzLlwDY9F38bw/8UvyTcRPYWfh Ofer/uDHwjX0Mozl/cHEJxlbUO6p9vI8uEfz638iLub50+UZaO+15sfLM9NZ tdYc5Rlo79vCvVqPaqJwDT6K/iJcK6qBxeUa9NvawzfRA/n+DOIF8Ab0Jz9N 5wJvwaD0b10I78IN6bVeBG/DkPRv94ZXNU+6FrvBa/ouXYs94HW4OH02PeEz +Dy895PgE/SLsAv9e+G9WwZ/Ft7D5eGeU69pbHZZU6olrXma1pWuddVgA/Tx ML1wz6s3epOfXPbIRO17ujfVcytUL7C3cE9vQK+DLfIGeYLOMlyLK2GznpX9 pP3dil4Srk3NUZO5j4Qp6CPK2lgfnks1EjxLiPA7+8KeI685BC+hN4b3Qms4 qHWH96oG8RBU0noyY4V0WkdZy3vDc6mmm+tsYRa6HuOno1uk9WzGjkLXSq91 KvnR8sq0rslYPXRdmEZei7yRejftpXXIj0PXTz/TnjdBN4Vjw79ZB31Mei7N UaVehZmF3zkT3TK9lvrkjXVW6bn1Tlt0O50p+VzyVqrN9LtzyNugz05rvXMf /Bf2cnlwe/VS+tuGjK+FNeGz0xmO5tko+Brdj/Hb0bele7EL+Rj0Helnmwv3 6vNhb1bPDkt7jrymuvSOheW78hDdRc+F5+pU9mp3xk4se7ZP2qPlzapReU1X 3Vlhz+mWvmN0t2jsMfVR2vvWQQ/0zrDWnLpbFoW9S3eM7pL3w16lO0Ve9Eq4 luVJA9KeIC+QR1+Z9gD1vu6EDuTnpvduHt+sLnu6Z9kD/dIeIu+Q549Me4B6 v3v4rro5rXVn3ZT2DHlF17CXvhC+C+Wp16U9R16jO+iatIfLu3XnDE57kLxH d5ju1hvTc+mOfZjYOX2X6s6cG77jdLfJ8w4DEVMRJQ== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHf4lmMU/lTveWSFVL8GCtkzo0GREO2yN7nsedkZDUK/0tDQTimRkZRQ +KGiSXtJ02xQGYmE+77u+7u+3x/3dc77vM84zzn3Oef73lrt7213T5lcLjdq j1yuLGTjyOVKslxuKvAp0AF4HDgM4xshZwBjobdPudwekIcCP2FsOlAD+mOQ TwBHQN8E+TlwJPTNkF8AJ0PfBjkXOA36r5BfAkdD3wI5EzgW+s+Qs4Djof8C ORs4EfpWyDlAQP8BchowDOgF9AbqYHw75DxgKNDT74jOQBegL9AVeMbvO/nd C8DTftfbc58C+nnus0B/y+eAIcDz3qNSaB8+D/D7bsCLlsXAQMvuQFFo7mDg DOjzIb8ChvvsPsAIS9r1J7AYGAeM8b7crwHW1gfehf6S5/J+o2w37R3pMT5X C505FnjNd6Cf3vJ6zn3Vdg3xeUPt49ctaeMblrTxTUuuf9ln0gejLWnreO9N u9625Ny/gKXe7w9goc//HVhgO3cAi2zvTmCJbfkbWObz+zhWjN8uYLnv9A2w CngHmOAzR/t5tH35D7DCNu4GVtrGf4Gvva4C/LYaciLwYybedQTWApOA94AD MGdf4DPoHwMfAFMyPTMnmBuN8L4h8H6mfGFuMcdKPJd5R15P9/7MLeYcucWc YB6Qn8wD5hC5yLxknpHDzDnmGbnLnJtpvzC3Ztk/54by/MNMHBzieDPPmFvk etUQRwdBrxzidw/vRV+To8xdcrbY53Gsl23t6b153gteQ7v7+jmfD+QG85U1 oJvP7ud5+XzjM/NpgJ/zecVn1pJ5fs8zh/o+tGOYn+vB9v1DMexvDoyyryc7 drR9uNfQPnI5n38j/C7Paa6vHsqlV7JCPrxuu8Z4Hn1KLo+1Ta/5mTaN83M+ r8b5ziN9dj/bODIr5NgbfveWn5n3tH1SVuB0nuOU5PCaTLzlnHWZ+Mo7bwDW Z+Loeo9NsZxq/btMPeBx2zHeZ+dzmM/k8lT7kHuR9x95fYmfv8+UA+R/Z8eG sWoZ4nknv2M+dPAc8rmL+TDHXOAzuZ3Pc/K5q59neix/nyleMzcr1GJyrNgg b7tbzrfOOLHmvOI4LcwKdXKRx3jebNvFfed5b8ZvsecyTksdV/pohf22J+6X cx3h83LHkXFbVSpmK71ukmPH2l4uFEuO7QW9TOieXL/MZ5YP9eR8jNc6Lhdh LPMaynV+T/uW2Hbmd2vn+N6hM8gR1jnWI9aimqHa19H+3mKfM4Y/OY6M2ybH inVro+NJHn2bKb6M28/2JWO7tVSstpXy6/ZScfvVcWN8fnOMGJ/fHSPyYrO5 wFj94XgxJjscF971T9+Xvv+7lP/+sg8Zq12OD2v/7lIx+cdxYaz+dbwmeB7n lIV//svUI/K+nmwu7LS/GRPGiHFc73mcQ15w/US/LxeF+Oc83sk+pT8rhn4D MT5rzC3O3Q9yH49XcN0jfzaYNzzzINdC7sm8ZM9ifzow1MPyY9SfhF4l1API jTbmSZHPqeizLgjtyz1bhXI7z6lK/q2z2jbRHvaaE0Lxb+X9O5oXx4VyjDFm jWV8WRsOdr9sB9nW9ZdjNWw/x6u7Z5Gzh7i+cO+a3p+cPSbEQd6lqu9F/taK AmcPjwKXa0eBX0eFuN/WPhhs/p4UBf6eEuIv++x5wCeZ8rC++z7zr7zzlBw/ NcRx2lLX9pDvp4fqE9c18NqmkGfah2eHfk9w/EzP4TjlWR4nGrpPTLX+oWUj 64xbvSjEpr651yx0Bvfg3HM8P4XizVg3Cd2T442t877NQ+84Th+c73HysanP +c97TTQ3L3SNqmT+kO/5fWl7iXXuw/s1s220q7nPYrxbOtaUraxXts69+wM3 JdWRInOU/OTYgND4YshF5tNCYIG5sg64K1TP7oc8IilmS4EHQzVptvnNHvEJ xi41Pxtgbjf7dBnwUKhWrYB8JFSfisxtcriE54RykWe3MedoUzvzf1poHucs Bx4O1byVkI+Gas8SyAdCtbMubHjGHGoIvbvj1CTJJtozCvKqpPhcDXkN0AJj V0JekdRPONY5NN4VuDapDjVNug/vMhryxqT61dr2k9uDyZ+kWnx+kt20mf4+ Mul+L5JvSfW9cZJ/6duB5FhSfa9mXzEHz066J+84CPK8pLp/KuTaUM2uDf1m +7YT5GlJ/w/a2p8c/xqyQ6gnrIJ8LNQrLoEcH6o/p2DdS6HecFzSfXgXcuc9 82cy5C2hGnY95vQM/Z6aRL6Handf5kGopx6TdDfei3z5wZy5IWke5xyVxF3u f3SSj+gf3ukO298bckLoNxfPv9M2MD63hWJ0HfTbQ3VoDuRHoVq+Hrg41Kf7 hc7mue9Anx3qBSdhbHioRz4LWS8pF3/kulA9fhvo5fv2gGyUVAOKybukfH0a mBGqB9/Qr6Heu5r3DvVbxq2jY7eG54d6LTk1JsSr46EPCfXXE6APDfXyE6EP C/X4k6GPCPXvOtBHhvo3OX5riOfHJvGGnOG3jVdDfbgL8H6oTvFOjCXvNR36 faF+uxfGyid9q5gPfBXqmVuAzaFvJPvg/b5JPa86ZI2kul8Vsijpu8Vu2hXq Mbtoe+jbyXch/pF7NTG3VlJvyDFHQ99ONgKbQj1vB3kU+gbDmHzvuPxGvoR6 2+FYe1jSt4dDIA9O+h6zHdgW+t5zEMYqJn2z+RyYGfpNsJM+DvXFucBToR5y GfCZefJFiDfUZ0H2Cf2+eC7EP3LvAMgDk3pnBcj9kr7x/AJsDfVj5s0Gc+nu UP1l7a2MuVWSem3rJA6RPx9DzjOfmaPtkvKUHLkwiScXJdVH1kbypVkSZ8iR Nkk8aZmU/8z9DHq5pO9SCXLPpN8obZP4Sq4yJ1ol5UXzpDrCGlIGetmk3xyX QV6e1OcuTuI0+UyetkjiKrl5SRI//wdy1tMX "]], Polygon[CompressedData[" 1:eJwtlVeQEEUURQfYeb1LElwEEYUFBMlJkqiICAvuYkIlmEWrzGCOaJlR8UPL H38NmFOZY6lIBgli1rIMgJJBctRz6/bHqXdfd89Mh9tvOk6ZNn5qw6IoZkAF vBhF8RpUQAP4EmZDM7i7LIpZxMXQCmrhVXgG/qOvEfHcVBST4VR0Q3gFTiQ/ hVgPl8MyaAMzeeYCjaO/O3EDeXP0xejN6D7El2EYbScR6+AlGEJ+PHEMfAQv 5LlWweH0XUrcyvMDwu9qSVvf/M4K9IXojegexGryS4hbyPsR/4WdcDTMpa0N /YfBEnR/2j6E56CASpgM26AzrGXM83lPGuUxh/JsC1hceg76Vuvkd+mbk9Cv o8vwnmnu7Wg7Nq9BfTPg99Jj9sAumEfehXge7A7rdbQ9QjyO54eH96wSHbCQ vp7k58MBOAbW0/Y2cSKsQQfxIRjM+GHhPd6bn9HYrloXfQ1gQekzewxOIB8Z PmPtbUr+lvZ4PXES/IPuQDwI+2F+6TnsyGvQ3LXnW/Keai87yVdhj8gb3Yjv w3swi3wbfIL+GBpDE5gKC7Tv8i79bxDfhFXou+BI5nYEfF16j+X1B+G30p4/ ir4p8gH5QOISmJC935R4VfZcVT6TZoxvAovQvWm7CJom6020TSN+Bc1hNvmz xPu0R+E7c2X2VGWewxfEz2F66TuntU3gfWPzGq+FP+AvjYWr0SugLTxNvk57 rW+i2+ezmUkcFT6j4eSPE0fnto7kHWAp4wdpndCf/AD5z3A/+SDyoeE7L288 rPeGPSKvPUocEfbcGvhb+5jXcD3xs/DeaQ+egLnQMp/RTfJi8lkuL+3FteG5 y5M6q/bJZ6Ez09nUJM9VZ3QD8Sl9E10TXktnGBxe083EbuTb0SvkseQapNoz RB5PrlH1eQ1Dk2tOXV7jFfI/bePyec0J1yDVnhYwMbnmqdbpjJbDjeF360zu gQH0H+TZX+B28l7ku9HfwR3kvcn3oL+HW8i7k+9AfwO3kvcg34leCR+Ea3Bt 9tBt0JP+XfR9K4+T9yXfh/4R7iTvQ74X/QNMJ+9Hvh/9U+na1ja5VqrGyTsb wndVHlLtapVcG1XDdJc3yTfhO/1u2OPyts7g3rDHtVfasyfhnXBtqYaNsDV8 t+cwZnNuk9Y7V8Oq8F2Vh/6E68Je1x2ej54Xvo/yUFfm1iXZ++3Ir4GVYa0a MUr/nuS91B5+mudUnT25EBZlrXfK6w/ks5Xnt4f/CfoXqMbX0j86+Sy05yPR Jyd7S2c2Qv+qZC/Lc0vlW2gd/uepVhyS/G9TzeiEvgy9rLRnVasbQ69wzVat LJJrn2qmav++cC3WP0C1uEz+l6kmvxWugap9q0t/W3ekJs/hTMaekewNeWAs ekyyd+TJOv27k70pT56OPi3ZO/LUOHR9slflqXPQZyfXCnl8PPqsZG+phgzU vyzZ+79CVXKNVG3UGv8HA8IOzA== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0M1WAWEAx+EhqiF9KCU7ixZuIrWqRavuQBdQFxL2EYW6khAXka3DqtqL Z04Wz/n9Z97NzFu8e7i9jwVBcMMZ0U4SkqFEnWMHXf3m3C4zsk+0pz9c2JeM 7by+6S+ndoF3e8qcGR0mfJJz/qqH+qJHOtSstnVfW3qgA93T5+gbtam72tcv GnzwxLX3V9TstO6wTYqQavS/ukmcBBs8Bv+XEWNhLvljy3NlfVcrGmsf7g== "]], Line[CompressedData[" 1:eJwt0Ucy33Ecx+F/zqETPRIhOhvETBALR8gBOIMT6OUEeu8tCVkiEqIzowRj RlvoZeFZWLzmeX8/89v9Ir5Vlle8CQQCVbrQieYV4tjGYLYzlH8YxS5Gsptv +Zex7GUM+xjHZb7jIBM5xCSu8AOH+Z4jTOYqP3GCqZxkGjeYwSmmc5qZ3GIu Z5jDWT4rz/7FIx2rQYe61KnOlO2bLP20N1Vq17NF3/XV+wf/60BrKnNb55Me Na4Utzo2a1Qfvce4rz0Vef9jAgcYz34uqcSu5YPudaceRbvXsEm3ulGEW7iq 7UYV21+0aHdqV7/12a1Q13aHwuwFFjBfV3arguw57mhb56///wVqK0yG "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{336, 335, 339, 814, 805, 806, 804, 808, 807, 702, 810, 811, 809, 813, 812, 703, 816, 817, 815, 819, 818, 704, 776, 859, 751, 803, 716, 801, 715, 802, 701, 338, 337, 336}], Line[CompressedData[" 1:eJwl09lSznEcx/H/U8lQCO0ppS7AgYREIkJ7IoZQtoo2W8y4AVfgCpw7cAEq 6wxFISEku4ylsmR7NR285v39/A7/8zwZdS2VzaEgCDq5FBYE9cYjXR8eBAUk MWCv00lt1zYSeWjn6y9t1RYSeGCv1Z/arMeI5769Rn/oUW0ijn47T79rozYQ S5+9Wif0iB5mIffsXB3XQ3qQBdy1V+mYHtB65tNrr9RvWqf7iaHHXqFfdZ/u ZR537Bz9orW6h7nctpfpZ92t1/UK2e7lJJPCDW+dbHAP6iJNJY0u+6T+1scU up/oRv2jx3UWsxmyN+lTvUk3RfYzXazp/HOf0b8apdG8cHfoc73FVU7ZAcPu zbqVLZxgDte8n9aXOlPDOEuIEka8F+srLdVwynltl+kbrdAIqnhrV+o73aYz 2M57u1o/6A6NZCcf7Rod1V36SZcSRzwJJJJEMilT35VU0qa+B+lksIRMsogl gjG/6xH66eYyF7nAec7RGpr+D/wH8nddbA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0cVRg1EYhtEb/oTgBHdCcHfpgxIYLEjCGndogAqAQpAlBaA10AB2Zlic ee68y+9mFvLzuVgIIctuFMIOn1zHQ7hjmzdueOaVF+5554MnbnnkgUW++eGL kAjhV5co8I6IkSDOsj2pRRRSQjEr9jItp5RKKli1V2k1KWqpIWuv1wbqaKKR NXuLttJMO22s2zs0Q5ouOtmw92gv3fTTx6Z9UIcYYIRhcvYxHWeUSSbI26d1 hinmmGXLfuXGl1xwzhmnnHDMEYccsM9e9P8/f75YJ7Q= "]], Line[CompressedData[" 1:eJwl02lTjWEAx+Hb0AfpW9j3PWvW7MqSrbQzdlnLljUky4sQkpCEmGZEGtnz TpbIvi/hjesZL675/e/znDlz5txzYhNT41PahRAayewQwpH2IZRQShkVVFJN DbXUUU+c9zdog94iJSaEVBaQxkKuRZ9Jpp2j9VSzyPmSXuUwGc7ZepMqcpwv ag2HSHfO0hvMs+czg4POiVqsSXpBp+sBnapFOk0rdYru10m6TyfreZ2oezVB C3WCntPxukfH6m4dp2d1jO7SUbpTR2uFxusOHaHbdaSe0SG6VQfrFo3T0/qI Zp5wmSuUMcjzzfqOOfZcyu2huk3fM8weToHdRzfoR7LsD9pbe5FhL6aVV/T0 Wg/SozvgJS2soUt0b/qC5zxjFcfI9uyoXmcJD1jJbZ5Gvz33uE8jd7kT3Q2/ aOM7P/kR3RFf+MonlvKZZXyjhD8s5zcr+MtxOvkuq7Wj5mpnLdVuula76jrt rie0jvU08ZiHbGKg5wN4a+fT3z6lyTqbN3Ye/eyTOktn8treSN+Y//+Zf316 fj8= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VQVWEch+EP9YKN3YXdvbdbDMAOENSFAbaCtXfGDmxduFaxVrZjjord CXZ318O4eOb9zf/cOZs7Jy41IyE9KoSQR1YkhEzySYwO4SGTeMBk8lhMckwI S3QH20niEY/J5ylPGMQhDnOQoxxhMGc5wBSOkcEeVpDi/St1Kuc4Ty5jqe/Z NL3ARSYwjgbuDblkX2Yi49nLPlaT5vkqbaTT9Qod7I6ssRvrDL1KJ7sz2XYT nanX6GJ3Za3dVGfpdbrZ3VlnN9PZeoMedk/W2811jt6kl92bDXYLzdRb9LH7 stFuqVl6m3i7H5vsVjpX79DfHsBmu7XO07sMtBPYYrfR+XqPRDuJrXZbXaD3 aWe3Z2HBe/3/OWwjm0XkkuZZXb+pR23iqEOqe02tRTVqUJ0x7lW0KhWpTCVS 3MtrBcpQjrIku5fWWEpQipKMdi+mxYmmKDGMci+iEaIoTCFGuv8l2L/0D78Z wQ9+8pXvfGM4n/nCBz7xkWG84z2vecsbhvKSVzzjBc8Zwi52s5z9nOE0OZzg JMdZxinS2cnSgu8n8v8b/AfbZ3jY "]], Line[{1506, 1464, 1468, 1469, 1470, 1471, 1605, 1676, 1854, 1675, 1852, 1674, 1853, 1706, 1851, 1673, 1849, 1672, 1850, 1705, 1848, 1670, 1846, 1669, 1847, 1704, 1732, 1667, 1845, 1666, 1739, 1701, 1719, 1665, 1698, 1664, 1884, 1883, 1639, 1882, 1697, 1707, 1700, 1889, 1699, 1720, 1640, 1885, 1668, 1708, 1703, 1890, 1702, 1721, 1641, 1886, 1671, 1709, 1880, 1881, 1877, 1879, 1878, 1722, 1723, 1547, 1506}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.3749999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.3749999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUFle3hxF7Sey9YiFqsBtsyCgxVjSIsUKiscdYUBGNMYoNu6IoMehn UKOiQcWCXV+7WFCkd5EO0ptdbu5a8+z51rju4uYm+W7LX6xn7XOG+Z05ZZ99 zn5NJs6xnWJsZGQ0ubyR0b//df7+Xfsmq6MMX99YafjSwkfpd2V2iM/IIOGq xleeu1jfFh7TZHGNE2cOCVN/3ICYqKt9r0t9mPow9WHqlzn6Isx2ygOpD1Mf pj5M/dEVK82Y1y9I6sPUh6kP304qFWMff1oxu1R3eq9R4Yr9LE+TigH3hNPz x6fP/TFE2PRE9qdPbscIU7/UnFZTy0yPkfow9WHKP3OtfzLZ4qmUhykPU37k jGad7t9KkPIw5WHKGz79yOf4sGQpD2Nv07h9h+1hqWKHsbsVdT22aMIz4beP erX7Mi1Tid9tvmLarDBDrNPeDzpM2qlYG4YOL/j+oTDfAz6wzt6iS89LwtS/ Hl8tbZR/iNSHqQ9TH+b7wV2PrjtU4cNtivuOJilNn0QKzxxolpSa80RZG/jR j62PR4gdxk55z7e7c8csjxc7jL1S2H6H3pWShB19jmSbuKUo1rV39r647LHY +R4wdspTP3bdidnlGqULD5x0LjP9lwylmU81v12e18XO99GXP2lhmPmoXbb0 d9qX/g7TXjDlaT/K69uT/g3Tf2kfGDv9FTuMnf4J0x9pHxg7/RGmP9I+MHb6 Z9i1DZmlL0Yp1sb7TLe1iFZ2lXnj5r4hSJm8aYqrk3eScmVzuKPtudtK9z7z NytX0pUlW2b8MHb8JkM9k4wVbUYeFK7itOlw4tpgpebwxHJPphxWxri8tXbf kCX6aB/KL/x8e+u71cOEaU/e52nrXYeOekQI0x8ZX3z/0vu3mt+rflnJ8i7y P2Gs9QfKw/x/2g87jJ3/B3fa6BFu9V2EwezYkZFmDg6K29HAjzd+HSJc+LDS spBBj4WPxa3+pffke8KMT3hui6LBAV2vC09/8CD+VqXTwozfSm1+vpg9/oL0 R5j2Mnfaetl0mK/wkyjv8+fmGqR+h1fpEetG3JH6MOVvNkscd+DeTWGPoNwx s6PvSv2MDqWfbboYIPVhys92KR7VLeuh8L7dLm2NjAKlvfi+tA+Mfhj9MP8P 5nucifI64OQdK/2zwavUR6k5yfL96Q+8D+stzPoJsx7CrG98X/4/4x/m+8LM B/r+zPekfzE/Mt/BPRJu9Bm6P0x5deqr6ttaJEh/Zf5jPoNfDZn+0JDyUHk4 dWZVu09S5Xn0Z57H+GH8wTyP8oxv7LQvzPOYH2Dq0z631xgyllknWdIeMN8T ZjzMzfPKu1gcJv5Bg5r+VaOcIxTXu9abG8RGy3z5xuntTNNXkTI/rsp0nNHX L1jmv3k2MY/WXLv93vrb9O0/svOMsxTbOg/c6j39bb6Pz3FO/O3/mZ1c5Dhq 0h3hR7GTy2ZX9xZev3pjwuXTJxXY8nLSLz3O3xWO3mVsVqlKiHC9sdtWL+wV I5zX3dGjVakYpZ5jxu3NmdFK4jejLctUDlEsiko369Ii+be/a29/O8FPOVwx KzOt+Lf59JrLjUV9wiyrrgo/mTVjvXDkyGcT5vvtFQ6O2vpw+fazwn2cvL2+ /Piy8PYRkxMCM28J3/OcG9DnvJ/wnmjDnJMVAoR7ruw/9ZvZj4Udt/jP+r5B iHA18y8md3YOFR5oFfVtP7NI4cTUrye+3hol3KQw9ZsPLJ8Ix/h36xg/PE4J MJ64os7KGOkv2F+OeN3l2UfxwgMOWR6/Hfkbj26YOORqhDKofJcRlZZo9knt jE898kkUPuH8WftfJyUJ+5er2Pl0jxThhuOsj27JSJHxcaVpgW+ZW0lK1rLD d87tDRV/g/Ld4qqe2Hk9TXh1lxFmjgu077P3fJ2OPwzJEM6uMu7XMe8yZDx5 DrPzuj4jXWm9OufswGoPxP/wmFy3233fa0qlsT0nbHHW6ld2a3z86+As4bHJ E9r2XpOtrB3t0cP58l7xV7pu/77Md42TruCPUF7mN5VlflNZ5jeVmd9gvb9C /8XO+IMZfzD+yZszO6+vGhAu/grzzbB0h/ZFG7Tvx3iF8Vd2piY7jfo+QPwX 5kuPSrM+dxmYKuX1/szmcrbbPx+qtSf+TPP24zetuukhekydoq3GLIpRjNMm rbleVeuvozMyfnny9IjwL/ZDk4Y+D1KqLRjU/+qLGOX0ziHlR3cLV4YtvfWo Zm6M8vDkgkbjHcIVz+4LLqe6hClZzoMW9RifqMT6V3YqPyFMed0sdGrEkkTl 3DiT/cYnHir/qJWybcTcNMXo0n0Lq8oPlRtnl9bK3ZWmtP/W+qbnPF/lY5fK 9msLMpWOR3dv8SrQ9kfhk37wuP+Dt2J27cvw3keylJs/z1pateDYe/4U8+fT L7c0nW+336D/fvhTL4Zc9opoHirtsXjxvfCrLSKEXV8mvbi+PkZ5F1drSNL5 SKXPT50qJDQ+r9iWdUhYvCNT2d14wOcuyy8pjpOOxL7olSnPZ71zb7t6pGvP SK291fkc9lq2uoLJU1/xN+81Cq/ucj1G1hf2N+hhfwPjj8B8fymv9hcYf4H/ v2j6mkudykbL/sWnwPfrR65RivKk9bldm+KUPYmmMw/Oj1IGfbWhwR2fOKX1 1jE3My5o+5nr7TOW/XQ2QjnxRmlctDJesXwwxXTCxUBZj7ufsRry0bBApUOr Dzt/GKTtV/I+G++WuCNb9LH+DatyKf2bhAhDxzsbBhpGelrWqvLd7YZVNXZq d6L+lOfBwj7tCnqfuh8iTPvwvBqfm219c+qx2MOHpc089iRAeF6clXP2lrvC 6XF+fhu63xdmPYZpb57v3aLHnCYVb4jdvMUp0xUTrgln3e/v0WbiSeH4B7Yf TzzlK8z8Jf6r2n92Vtvqfb/8KW1+8ByVVDH6qsx34q+q9sLMSYELD90Q/qbc vKe7iu9JefFPVfvPI5Y9rHjfX7jSmdtZ7lsDlXkt9jqceRkp4yWnwK3Poxdh wuZTq9cddC9QeMacCg9vbHsknDe89PdnP7klHJf2+JPAaVe08m1SrLZXuSAs +0mVjfsvDH1d9az0T2OjUUMerLsmjB79erm4ql1CnYoRwqcbxqe39o1WFje2 2xOefP+f/JWey0YUBLz3PPo/9Yddn/70SYNY4c9SFhYsSohT/Hr3DzHxilbi LdvM2VU/VrEPnPvD0NHRSr8Tdr2sPngiz2N8UH9rz4tzvnDX1ofjV5fO/3Jm ghK+e2b9nj6RSnmjz18t3/hU6uvX39c1r2d1b6qt7/U9Vuf1LUyS8ow37FMy /WY19tLWk5XzN841XZqqLD16ZOq04aHKgQt3FwZ9mqRYzGvlVqdssDJ75scB A+8nKwHlhveyOh2kNG/Zp9j5bbK2vqrrNc97dPtRRqlOmj+Qae2WU6n8Mykv +w3V3sMz9Nvk88+09cXUY072lkzlTYer5V9WufbefrVbwz6etdplyvNY76m/ /7uY9HtWWYrdnYVeI3/apSyutXdE/S+zleB+ETeKn4ZKf5J4hsrtq7oFt5zi LyzxDZXxj2W9UPcr0n8m3O/37dkbYpd4isrjZhW+bl45UBj/CvYc5B/X2HaH jP+zG3r2WNjAWbiOifOdUbVvKft2JHwSeO2ZUsc5asy77feVz4Lvfru6Z7ry 1aEJ05YcDlfGr5mUet0xQalzJMzufESAokS+Df74l1TZT38WlNYxffg5A/ph 9MKMP5j6fk0fxNf72FXqw9SHqQ93OmsYZvo6XtbrRzvWvI6ukSI8y/FzL7e2 z4Qrj6g7crBVtnDIzmxno6O5wi3XjgiLOpcvPH/h2XZnbxYKX5/acNW2gOfC 1Ucti5wV/VJ4wmcJHQelvhY+3nXAmpYFb4WLW/waU1xc/F48Fv8OPTB6YPTA 6IHRA6MHRg+MHhg9MHpg9MDogdGDf4oeGD0wemD0wOiB0QOjB0YPjB4YPTB6 YPTA6MGfRg+MHhg9MHpg9MDogdEDowdGD4weGD0wevTxdvx/9MHog9EHow9G H4w+GH0w+mD0weiD0QejD0YfjD72L+iD0QejD0YfjD4YfTD6YPTB6IPRB6MP Rh+MPv15B/sv9MLohdELoxdGL4xeGL0wemH0wuiF0QujF0YvjF4YvexX0Auj F0YvjF4YvTB6YfTC6IXRC6MXRi+MXhi9MHph/IHTX5iENuuRI/ph9MPoh9EP ox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/d9c+6W22w+5oh9GP4x+GP0w+mH0 w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfR36R965Flr+eJfhj9MPph9MPoh9EPox9G P4x+GP0w+mH0w+iH0Q+jH0Z/kMev2xeWKxD9MPph9MPoh9EPox9GP4x+GP0w +mH0w+iH0Q+jH0Y/jP615TsEpw0uFP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD 6IfRD6MfRj+MfkvHkzXttxSJfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH 0Q+jH46/Y/dicHacxOfRpz//15/Ps18mHqc/j2c/S/tKPFuNj31YOaFwbFSO 8M2FUz950DRPeFFimqPl5Hzh9sNnnfbxKhBOuJyT3zyzUFivh/0O748/yvvj 3/C+rIc8j/UBZr6EmT9gxhNM/+I8/IN8540VArKVBZ4jPC4EPnnvfM2nWbxN memJcr63Kih7mP93aRIvIP7rfLDFgVLlk+T7wOhtsvrZ8HNN0sQOY7806dS7 2eaZYoext9t7OaTGoRyxw3J+72pilnUyTzvPURn7g2WrV9y9UiB2GHuDOWnh v9wrEjuMfcZXQzs4h74QO4z93NATq+3iX4kdxl6hd+1o86w3Yoexjzb7rnON V+/EDmOn/xAvYzzAxJddI0dvO+oRJ+WJh1Eepjznu/RH4lnMLzDnr5zvEo/t FrX7Gx97b4lHwMRvHJpFdzbpc0p484Lls5r02Gcg/kx5mHgG8WTsMHb+P4ye /gOiHjd9ot1fYT9Ef+b+CMz8QX/eV3/xBy0HZEr8iedjZzwyXplfmJ9hzq+5 /8H/434A9fHvGV/cZ4Gpz/xN/2i9Z6RNdpVkGa/M53IfZUnjtwdapoud+R37 ZLukw/YWWWJnvsde6h+jfq3YNlfszP/YbTZeKJX0Sb7YWQ+we37fZMzVvoVi Z33AnjVjxbFdQ5+LnfUCu+W45DILx74UO+sH9o2DBtvZTnktdtYT7NHdj51o N/et2FlfsH/cukaFij8Ua+c96nghfsN8yP0O7MRDsNPfsNOfGG8w/ZP+BzO/ Up/1gOdjJx6rjy/+Z+83iH9Uuvae0sv/vPsMqWUWe8UaZykfV946Z55vvMRb 76aNadTGP1l4ml+zu08S04XLHkpd4P4mSzjQasxW0/W5ws06X0op5Z4v7GDS zDJmb6HwlWqrtp87+lz4Q6PUdLfzL7X4cPaQvnNuvRb2jj3+4+DHb4Xf+NfM ahVT/IfvRwReiDK5/dLHAD/os2JL8K2DBvob53+25s/Lhaz4p/sGuvsEJd0H +L3n+frzet7PwrxG3f3HcoTjn5wKrlYhVzhn345RtfM1drfuVmuldZ7wwar1 3dd0yxe2Pn9hRKGrxuOW7A55+X2BsJGppdu0EI2rpTWtPfNqofCZbdcCI+oX CeMvwcy/J+M61Zr2T+fRjBfat6Tz/pLO8/Xn94w3vb/F+amc96n+l9w3Uf0v GP8Lxv9Km78+7F3Xp//hfQD9+Yr+/OKvPv/Hf6N98ddg/DMYfwzG/4Lxt2D8 Kxh/CsZ/gvGXYPwj+F9+nq72D/F31O/7oUv0p0tcfIX3fFHqx4Axuwz/38/b u03KahfZJ0H6+3evCm4NvZYoHNL3TKTrmBThuhGX5pWJSBWe32zpmgEOz4R9 z65qejEnQ7h68Wdd363JFm47xDS5+6oc4fAsF4fIR9r6sqjneotarnnCrWPT b/tGaeuNX5usbdm7CoSd/Ic13pqirT916tum3TtUJHz70sn5M/O19WhqhTPK wVMvhGt517k3oFhbn04/r+++3PBKePKuxc1aVH4jXCblhwz7+xqfXB/r9K7O O+EvQp9adQ/TeNyKas0zGmnrWUnn5frz7997Pm30Y3o1p386Py7pfg7jhf01 48OlTd7psCkau2cEmUfb5Ep59t+yfrkvKBh0RJtvrceOdhq2I0/Ksz+X9cz4 ZZdLWVp9o9uRvlcj8qU8+3dZ3+Ysmd++i8ZnOn9V2LlJoZRnf4/dPrr4pOdC jWf8/LTrgYlFsn+g/xOP4fussbVd5WudJIx/D7fq1KDTzMlpwvj38I2q8THN l2QK49/DHZ9/cSvjrtb/8e9h5+RzDf1CtP6Pfw8HhDSat/+p1v/x7+Emt5z9 lmZq/R//Hp59OrHJuJda/8e/hy/tH7jgk7Kaf4Z/D1dx875frbrmr+Hf/0f3 t/T3xfTn+fr7a/rz/aiG7er/eDhOnl/SeT/fO26ZzfNvqmjnEfjn+Nsw3x/m e8N8X5jvCfP9YL4XzPeB+R4w7Q/T3jDtC+O/6vXo7xvA6IHRA6MHRg+MHhg9 MHpg9MDogdEDowdm/8J9VfxrmO8JU577rJSHKQ9TnvuulIcpD1Oe+7CUhykP 8z1gyedQ/WP2hzD7Q5j9IUx99oPUh6kPUx+mPvtH6sPUh6kPUx//nfow9WHq w9Rnv0p9mPow9WHqsz+gPkx9mPow9dkfUx+mPkx9mPrMZ9SHqQ9TH6Y++xXq w9SHqQ9Tn/0M9WHqw5Rnv0N5GDv7H/Zj+Mtyv1u9Py75cipLvp56P1Pi+6pd 7nepLOcBannqc18TO4yd+5nYYezcV+b9JN9RfR+Y+jDjU5//iP+D/45/w/4A /wV9tBfP189f+vbSz2f69sFOeeYr7DB25ifsMHb9fET78X7o531g9MGcR3B/ m3gp8WKY/D7iZ+R7YSe/ifgpTPwapjztA9O+6ON9JH9Yrc//J78NJl+N70m8 B5Z8P/X7S76fytjpL9hh7LQX70N8Gib+DBMvkXi7yuhlv48dxs7+HzuMnXgA dhg78QHsMHbiBbKfVhk78QPsMHbiCdhh7MQXsMPYiTdgh7ETf8AOYycegR3W n0+Q38j30ucXSnxQ3T8Qn4bJd6N/68eLPj8Rpv8QH+H/yf1r9fnEu2HOk6hP vIT6ct9aLU88HOZ8SfJH1Xim5I9y31otT7wbJl5OfeIx1Jf712p5zldg/XkV 8VK5/879arU855sw5zHUZ79LfX1+J+c1kn+qnidRn3gs9SU+q5bnPBXmfJb5 9L18TnU+YLxjZ76Fmf/085n+eZJfpbLkV6mMvwVL/pTK+EMw/g2s91dY78jP PWi4V8bON1/aC/+EfNynHYyn9l6vrZ/69RT/hHxY992rDxx/mCvzr369xV8h v3ZIxYpJJjXztf+njj/8H/4f+cIWyTdWO5lp/hLPJ78413bArVQHzT9ifPP/ 9M/Hzvtj5/sTj+P7wnxP4g2sx9h9hhUV1BsQKes/+zfs7N9g9m8w+zeY/RvM /g1m/wazf4PZv8Hs32D2bzD7NznfanUhesa0aPFX3DdP71X1fIz4J+g/VjF2 T6V32u+LEC9m/Cmbjyd6u2j+8bU9XSYPjtW+Z41uwVM+q52vVHi8y35a6Wil l1FitkuNq0pzV9vAO2djlOWRj6z22j74l+fzxtf0u5j6XbjSzsIxYXzIWuVg yu7ezZpEKNP3vWz+tdGeP5y/e+HqXauc6lHKh/tcLcrknvlvz+fle/L9zvi9 8Q3oHCv+Y0n5viXm9/7BfN4/mq9bUv5t042uVZq7n5L550XXBU639tyV+Wbc sqlL0teEvLd/mGLx9ZSBw70NDpubLjrq/v5+gvlCn7+L/VCDwBqeyqHfnc/r 1XTn3Za1YxV9/tufld9bUv6uPj9Xn49r+jor8Prya7JesN5suVh6p023XOXS r/Wm1qjxWNYH1peNG0dNHfND3nv5vH3GTDjY6fJZQ+/nA4qDyucqqWFbJrnU emBYYTbDfu7necrJukbVi9aEGhb1mV331pp8xTQn9+3W/sFKy37rbcZV9TUs sndcf2jHb/P3/LHrtkzxNlh94FF3RmioErpkc1rayt2Ggr5Hi9u2ipbvdaHv jKhomyjhCqZf7Iq4EKP0LZxYp5uj9j3IH8647L7jZq9Y5UzIP76t8iZQeZM0 Lm1lg1gldUiKl112gBKQMWvkWCVWKZo4pWO1LUFKnZuWuQfNYxWfhZ9WaLQ2 RJns7v2iwjhPQ78RIx96fJmjRGe9WVgYe8PgMMA55cRv64BP1T3ZP/UONAxb s2PxpMw8xbjHrBMPUyINv/SZUCGoSYHMvytsqrgu61KgLHZpeGrgz0ESX4w2 yXQI6B0r+8lGk/a1N+0RJvq+6P8yd32LSGVjTkuHWt2Pyf6b9eDKkFZH5tZ8 KOXNrX/N++DSI+FzqxofvFwYJLx0VeTyOSYaW28cHeWYHi77wZLylxlPuTax NRLGeBsqxWSYZy8Nlf1qlV6xkVPHaftJR6/8SbXahMt+bG093/abf46Q/aw+ f9m8oWuTUIcoiWekb9g05E5KlGLu8Nw7yNigmPa62/dxmxiJZxQ1Uyy2KDFK vZ97Pmn1+s6fnr+sz+9m/NL++t8DKGub82Pds97SviY24QsO1jr43nxDvjv/ n+et31c5q903F7Xy++sum3rhivCrzQ1/8tx4R3jF5h02ZRJvKf/V/F72w+Jf NOu81m36E3neINeeoQ5N4oR/WrbHzLptvPD3xUsatLr6VLja/XC/qHWRyoyL bmvbjjsp5+k8/25WnIPRgwQpnzLbeOVH5onC3b6aGmFslSxcP7bfnaiwJGH2 3zxvmr9X47MJKWJfPfReh9ihqcIhFu1dzo9NFz57qYrjtuw0YfbrPK+st8O9 Wa+fib2F2bbo7VMyhOc3LOrsMDdLeOSu4GaDymvM/p7n2X62u9e2ijlin1D2 6M0DlhpXeBs7x61frvZ9LR4mL6uqMfEAnufZ1WjbrNp5YvcpqNZw+WCNx2RY 3Z5tky880Kxzb7uGGhM/4Hk5LSanDjQpELtRouNc+1Eae0UdbDTYvlB4Z0N3 N/OPNCbewPMsa/pZtmxXJPZhQeF3uk3UuOhepfmtpj8XTq70Kq16F42JT/C8 zcZmO4q7vxD7nusWTWrO1rj/hdl3jRxfavPfqy/7ZFpqTDyD50XnbnkW2e+V 2DNOeDpmfafx9sOBTaOXvRZelXbN3W+wxsQ/eJ7Z0/y+Z2zeiN1ib5n7d1dr nLjT3OnshrfCweGtMveP0ph4Cc9bEjB651b7d2Jf7zrd5MBWjTuv9Xiw7cdi 4ZZ+6z5dNlHj35uvX3SkXs/l+6KV3B5WE1N+vaHscxuWEVMpRkmZHBzuNeP2 3/n8JeTzl/R7Hvrf4/i9+f+/N7//r87n/6vz80vKv5920MS/9viJhkU+nQt9 y+X8z8+/X+Dbc2eEm8RzeL7RS9dBc9rmKFkLF1Ta4RtuWNW4os2hoHwlfOD5 FYc7Rsr5EfGhB28CI8pn5Yt/0/OTGi1aHMpXapwvdX5FSJjEj2zyjngOrBar VDtgP73O5gBllt/BgavuHzdEz7Bf8vmpHGV7txt2Hvl3DFaV/a0rF/+230/Y dHjxhGBD5NUW67J75ivzxgcM6XXcYAhNHZ9kY/ebP2+05sp4kwDDq5NdHj3a o+Vn4b/SHjB2/D/sMO0Ds7/Vx2dg4jMw8RmY+AxMfAYmPgMTn4GJz8DEZ2Di MzDxGZj4DIwe9ovogdEDowdGD4weGD0wemD0wOiB0QOjB0YPjB72u+iB0QOj B0YPjB4YPTB6YPTA6IHRA6MHRo/+/dlv8f4w7w/z/jDvD/P+MO8P8/4w7w/z /jDvD/P++t//1Z9Ps1/Hrj+fZj6hPEx5mP0q93WpD1Mfpj5Mfe4zUx+mPkx9 mP2V5L+o+zF9/EZ+j1fdv8jv96r7DZj9Aoy/D+Ovy++5qf42jL8M4+/C+Ksw /iaMvwjj78F8X70e/C1Yfl9Y1QejD0YfjD6JF6r6YPTB6IPRB6MPRh+MPhh9 +vsAxO/oDzD7deJ59B+Y9Y/7i/Q3fT4i6xEs+VVqf9Lf76L95b6iynI/UWW5 j6iy3D9UWe4bqiz3C1WW+4Qqy/1BleW+oMpyP1BluQ+o6y/MD7w/7c37w7w/ zPvDvD/M+8O8P8z7w7w/zPvDvL/+97CJ79I/mN/oD8xnfH/mK86rOI/i/Ijz J86b8I84DyQ/T35fWI1PkX/E7+fir/F8zr84X+O8i/Mz/DUjp40tt4/W+ifM /6f/8f+Jh9E/9b93JPeB1fdBH88j/oZ/BWPXz58Sj1NZ//vRcn5IfpcaT5L8 LpWxs9/EDhPf4v/D6KO9eZ/1hk37uxc+fe++Cb+vHH4s92XNUoliJx8Qdtp0 /uC9eqnC5APCtWYuH7G8Y4Yw+YDw2AMtjRq1zBEmHxD22r521PMOecLkA8Iv VmZ4B/YqECYfEO4/36b0sQFFwuQDwu4TT49dN+KFMPmAcOLwej6Tx78SJh8Q 7tp3Sbk+374RJh8QXtkxzr7hwnfC5APq+z+/Hw4Tn6X9Ydobpn1h2hOm/WDa C6Z95Pcs1faA0Q+jF0YfjD79eT/jifmG9YXxJvfp1fKMb1h/Xs/6Q325X89+ Tx3/sJ3ZsH7+LwukPvfrqS/37bmfEl91crndGlf76fFKxVK7b4//xPdiPWA8 oZ/1AWb8wKwXMOMHZv2AGT8w6wnM+IFZX2DGD8x6AzN+YNYfmPEDsx7BjB+Y 9Qlm/MCsVzDjB2b90vcnyYdTWX6PRV0PWK9Yv+g/lJd8OZXxp5lf2b/wffW/ 9879EMqzH6U88yd29nfYuZ+lz7f9+/7FH7t/8Wfft/jfnm9cUv5wSfc79Pcz 9PnGfzTfV3+/oKT8X/39gz87H5jxqL+fqx9//9n7Dvr7Dfr7Cvr7Fvr8tZLu D+jzg0u6T/B784d/732Dks5j/+r7CCXdP9Dn//3Z9wv+u+8T6PMV/6r7A+RH /uH7A7r8+v9t+eC/Nz/7z75/8Pd9gr/vE/x9n+D/zn2Cku4H6O+jlnSfrmvF ocYDbGPFHxzlf2Hxq/axyptmDo0ffxD6Xj7y37+f8K/9/QTWB/n9v/9hvy+g vy+p/z2Zv39v4M/9vYF/9f0E/X1b/e9llHR/QX4/6Ve7C6sK5xtKus/wbwOJ rCE= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl1dwVlUUhc8hQEIAEyAENCChd0IvoYWOIL2JFBULSgcLdhFBaaG8OI69 zNi7YxfriE/23nsdyyj6oGNby/1l5GHN2f+5+55z9trrrnv/9svWzl5TL6XU IadUoPEEYaTQSThRGCV0FkqEYqGx0FBQevJ9pwrLhfpCIXNe5xRhtNCV+xpw 3yphpVAkHCY04vo6Ya3QROgntBYqhBqhG7ljhO6cpZfQUygV2pB/uLBbqBUW CXuEHcISoY/Q8pA8x+XCEYythK3CFuYGsP+RnLcx9W0TLhPagQr2HywMEtoK A7mvUhjK2AFeO8PRcKFaaC8sFIaR0wXuzW9voRlnHQWXBdxfCJ/LiQvguBhO G3LmYtZqyPVGcNmUayX8Xkvse04XesD7GfTAvJ9JD8z7fGEefVjEGZvBTSX1 7xP20oOW8N76EN79uy9xK661gdMtxM65lN7051o71q+lt+Vw3457NgpncbZq eK2Eh07wV49emLft9HUIv81zfXjpBlclcFA314P5UvgoYRxDPJv9S9lzJHse xT4+6y5hpzBXmC6MF6oY+8LJpBTPg+ueCAfma3IKjZqHKSk05xrbwoV5mJBC 9+Z1Bnv72rgU2nJPpqXQXscUWqxmnZnC0fyemkLHHeBs1CE8jYarTcJF6X+t 1MDVZuFiePGeY1PopM5HrN291Ox6rcN18DaA+iuobzL1HgNf5mowtQ2ijqmc sx/1u/Y51NmROqZQYzU1On84NVezzkLyL6SXpazhtUYIxwkL6J3XOJZ1zMcs OFnAWatYw89ML3IXkr+LPOeUUL/3WpziuTJXu/ndPIWnLRVacJ/PUZbCB+zF 9lVrx1qp87YlcLuU2OvYZ45Poc1C7i+ityfTW3NqzVirp7G+67KHr0nh1Z5b wb3GStZrTOyc87i/PnOrmD9fWM19q5l33JLay8lby3oncWaf3c+N/WUHubXk Wzsb4NBc2wf8XNqrNjLns1/A2hvocSl9OZfeWI9nw+UKzloEH+ekeIZnUZvr qkmhf3uDvcqe5WfRurf+6/xzM3PujT3O/laZwjf9/NlvN7Fef9Zybhvy29IP 5x/J3Fbm11N/E+pbT2xv2876S+CsFRw6tpbm8rsFXFpz1sliYnNsve0idx/5 VaxZS/5Ocqo44zb29T57WN+eNI4+e34v5xlPXMW4j3gI67jupazjPe8wfzn6 eYvwIT25y3zl6O1tQnmOHrpP1rm961VhQA5/udp9zdG/34QfqXWo5h5L4T29 FN/P2f8U/kqhjeGafyKFD/0j+CXjvmWN9XKc/Rvh6xTeMUZzT6fwmImKn0/h J18Iz6XwoReEyTnmR2l8MoVvzVf8LDn9FD+YwucGKX4khV/OVXyzxkuEaYo7 5/CQOTmuef4doSaHV77nXuTwts+E/dTyDGf1OR+HC/Pwq/BlCm98ivMN5bwF nHk/vHidA9Tp+a4a703xHuii+Hf01VPxH/R2mOI3Unh9N8Uvpnhn9Fb8MroZ nKN/7l1/xa+k8Pq/hStSeN9rwqcpnosPhJtSvDPG5qjftV8HR+bnLeHzFFqd lIMXczJa8Zsp3hkfCXen8PJPhMtTeO9P8GJOvuJaGTxdxby5OUCvfxC+TfEc zdP8uyneIdMVf5fCqz5mrTJyfyF/vHIm5PCpl4T34edG4SD59wg/s85B1ipD X9aQ9XMle3tff5ssS3ybau7tFLotVtw4xzXr+vUU2n44hdYdP4r+rL3ZGr9P 8YwXKS7M8X/Cfeueo3cPpdCuddtUY5Mc/zPuQx/WxgMpnrf/vtk13pri/dFC cfMc/y2qNPbN4dE3sLf3vca9zeG5IzSOzOHX17oPOd4Hpe55jvdcA40Nc7xX KjTemcI3raOBObR0vTAzh79Zp7NyaNVzPZi3lmfk0LP/S7XP4ffW8pDMt4vG tjm+rys1tsvh99ZXdQ6NWct9Mt8uGm9P8W78F52wDik= "]], Polygon[CompressedData[" 1:eJwtlGdsjlEUgO8Ve1Ob4rO/Nmq0UaNGtFXV8nWg1QhVIwi11WhrJU38VSP2 3nvPWCG2HyREjMRIiE1iJEY8xzk/npxz7n3vfc+6J5A3JSO/jHNuJJSF9/AB BkMYPIcX0AXC4Ts09c7NQLaDl/AKekAADsA7GAoZsBbeQCa0hNdwDeJsrTZ3 LUf2hnFQCbsajEZvLT6hV4RR6K3gD/yFftARbkID9icjC2E7rIFUSINHcAVy bE18OwhDzMev8Mvil5jrc9deZD5MEp+xfyIjYbb4gL3B9AK4BY1Zm4YsgkOS F+y+yPYSA3obGI5eCxqh70dOh6mwFVZBAgyCbbAakiEEj2GjnZU735oPBRbD ddgJ6ZbDc3ZHyGp22XKSZjWK4GwkjJDcwxHxEzseGQW34ZnVrhjqsLcbORHG S86xf1vu58Bn+GS1HQYf4RhkQ5bF1sHrtxLjceiMnYjsBPHol5DdYCD8gOas zUQGrTZbxA+rUROvPhZbDpthD4CFTs8ke+1R6c0FTvfWmS7fNPRasyKr8VO4 AfMthyvhm/ku//wCdy33ku96Xnuu0HKSir0euQgWw1VI8hqL9Hii1xxJbuZB T2wPsehzIeD1Djk7y+lbyMReYvXMQr/n9O2VQIrXHAXtn6ekzqwlIaPhjOQS uz8yBu5IX3n1XWKQt5Dg1Zcc67U4r75Iz52X/0pOkV3hopzDTrEaVUcvB7no Y6C81zcqbzPXav/EaS9LD2Sz98DpbFgKD21NdMlBEP2w07ciPZiOvdnp7JEe jcY+Yb0iMXbHPmuxiY97nL5ZeasyA2LQT0qPOZ0Ru5z2sPTuBNjh9M1IbiXH fdi7YLFKjDWww7zOorYQhX7U6duQnr1vNSmxf4Sjr0BGOJ2Jy6Aya3lSa6ji dabJLJO1Cl6/kT2ZabHYp612UrOq2KXIXk5noOg1WRtra9Krdb3GIj27z+lM kVkiMyiEvsnp2/4/c7zGJLHIHTLLWnjtNZlp/wBPrZ86 "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXXcV1USh7nnInaBWNi4roliJ9gdq2uCimInBjYmIAuKigoiKAYGCgai IIqL3S0qYq3d3WLsPM5zP69/zDsn53xnTsz3/t6le/ba5ejSqlWr8+NPHXrb 0GeFbBNCR/eqVaseIUdGuVvofUPOjXL/kJ1CDgs5NGTvaO8Uev/QR4f8J8oD QnYOOSfk7JDttH2m9vuF9A3ZIWRQyMCQf4f00UavkAuiPjhkj5BLQy4J2Sfk 4pAh4AvpUXL8aSGXsXbIwCp9Oi9kt5DTtXdMyBnqY0POVB8Xcpb6+JCz1b1D +oacEHJiyHlV2sJG/5CTQk4mJupTQnqWxAKOfs5j3KAqfTtdfKdZP8d1WON8 bYPrAjGBZbBt1C+0jXkXqcF4Uax7YcheIe1Dlgv5BzETKxgvFhP1y0tiHBZy RZRHhKwW8ljUJ4XcHTJcrGAfof9gHKkG10ExZ2jo0SFXihuMo9RgvEo9hLWc x7hrxATGq+2nfpt1+q+r0j44b3CPwXWzOLB3k/ioj7UNLJ0D27Whx4fcKg7s Xq89bI1zLHhvUTPujirn4tfjxmMy+1zS3v0hd4oPe/e6NvYmivVGY4keo40x 4r3LeYy7R3/GusZN1qdoD1z3qfHjv2ri9ID+gfdB9YSQUwPnKSGrh1zuHrJ/ D9kP9kfFOsm20frzsP1gfETNuCfEB96OYbdtSLuQWUK+j7YfQp4WN3ifMi7U XxIf6z9jP36sEXOnhn4uZJr9rP+CMca/56scQ/1F27D1smPB+Ibrsf6r+sZZ niHuJ0Necy+pv27bU+J+P+SDkFe0x/w3tQfetQLns6HfCnm7yjKY/6cG4ztq sL8nVvz+1LVnuMY0sX+oZs2P1K+K5SXHfRIy3fkf20/9Xddhjc+0jU9fGAuw f24b9bVLYv8y5Ku/+THdOBGXr23Dp2/1h3W+sY369/oGxu/sp/6jvuHTT2p8 +lkN9l/U+NSqJA7WnGmM8OM3Ndh/V+PTr85j3J9/82OdkuU/QqqS9sBbSmr8 qEtq8LYpud/gnbWkBm/rkv34N1dJTGCZrWQ/fsxZEgd9c5fsB+PsJfvxb46S mnHce94q7t+6JTHOE3qxkrZYZ76S/hCPhUrim9W7hT/FO4bGjwXU4J2/5DzG Leg9bOP739r6wtrDj0XU4F1UDd7FxYJP65XEuERIB/vByl3h3nOfl3TMvCHL iKOt9T/cn6Ws49/SasaNMR6818vqGz7x9pPHyE+rGCNwLW9c8GMFNX6sqMaP ldTg/aexYM5g8yE5eGX7sQt3gEeQs3nneEN4d+A8cBy4DpwFbgJXgO/AZeAH 5Fh4BzkdfgE3IXfDX+Aa5HL40j6h96qSH8Gh4FJwIjgO3KLJ3+RIuAB5lnx8 QEkOMaBKu30d23AX+EPDXag33IV6w12ow4n6aHuC/vFm9tYe43ppj3EnGnvW w7f+1lmDXH+e4waJ9XTbqMPj4IPg2q8kJztVHOT5wa53ofWGM/UX92DX+It3 Vskj4Ylwxl5iGmK8Bnl+hlctPKPhHeiGX6AbnjKyauEH5FXy61jP8j320TZG 37ANN4ATwZOGuje0wRuokydHW7/eOvO48ze4/ljXu8y26/UDDnKVfoxxTsOT RhnXEfa38t5wf+ACU8Td8ID7tHebbXAWOMB48U2wDr47rYPjLuvgmmh91ZI8 /ij3Bl52cdXCjcaJ8VbrDb+ZaOzH6TO8A540tWrhLlOMBfGeLD7y+P1VC3eh 3s81h1QtnGmS+zPZOu8F3Jb3o+Eo3GHe79a+j8whr5HH1yzJM57VBvn/cbE8 aZ2YPmX9bvsfEzv5v+E1T/9tHLmVvIuf5P3n9IGc/IK4yOkNT0FPE9Or9pE7 vxf7E9p7zbi8oF1wTHfO4/ZPF8cb4gDXm3+rkzc/q1q4xYfaI1+/I8b3rMM1 3rcOvg+sN/wGTrCceYW3teEuH1QtvIdxzzr2LbF+7Npg+kJM4P7Evhli/NT9 f0lczCe3f6ld8njDTb627zXnfeL63zruIX1ofPrB+IL1R+vMb2XeZT65+hft zbTecJGZVQsX+a1q4TQ/2TeX+RGs2PujauE6P4u3Mk83vIQ682czN4Opjfm6 4SVtzKXzmmtZe27zdMMzyN9gndM83XAd1mDt2c33+I9t7gZ3lfP3iNgXNyc2 /GDh0sIz2jmnvfVZ3P/24lvIemX+551q+F/jx8KOa3hM29LCPxYRdwfrzIdP wBfwGw6xZGnhEEsZC9qWcP/mc2w734OOvg0LiHNO/evg2h1dgzeG78urvQPf eYaej743QjYI2TJkw5LfxXPV4VvJ30gaLgI3GeqbSd5qeAl9I0OOcy5rwz8a nrKS48C1in1bhWxU8pt1k5J8nTPVpeQ3HG9MH/vHe9d407ijW5ccR33zku8d /RuX/G7hPm1akitzpnYsyW0OiPIW+ooPm5XkqcR4/ZJckDifFHKCa3QWJ3lm PefM49pdxMmaXcVwhTGEz6yjb/iFfxuLrau4Gd/buBM3fjvaXpz4tLXrsAdw BXhCJ/FThiPhFzyEXLaFfp3lnJ5V7hNz4RUIHIN5rLOdY4jBpsaK36mI14FR Hl6Sn8FtdinJCQ+q8jexf1nevSQPPKRKbsYYeBm/iTHn4Co5GGPgd/TBCWnb tWSZMfwmtqt2+C0Lu4dGee+S/PPwKufDP+FuCFwX7tatZPmwKn8X6uZ4eBe8 l9+p9iw5F5vMwSb9/LbGGkdEed+S4ynz+xv1I6vkt0eV5Lj7l+R8xOSyktwP zsmeH+i+D3PMUcaQcX/9Tlbyjhzk2AMcf6X9cC7OGf1wmUOIjWfv8JK/P/Lb 4zElefZ+VdpkzKVVntNDHM+ZgKOyJ8xhfHexDRX3odrEDvoIy930GT6P35T5 TmDPd/JsYIvvB8Yy70Tnsp8D3V/sg7WH95o7tbp+H2sMOePcty7GhfjAN4+3 jF/o470jZ5R8F+BbrN9LbLTDw26vcg3KU517mnZoO9UxB9vOmqdr83bfHOqd tXGGa7F+bzH0sZ3xJ1sf793iO4r7BZ/nHva0/UzLOziGO44+xzLfFP2MLWOo H+s9ZQw2dnQM/cSZ76uDvZvct53dn/7u+zau28t7STt3dqq473dPz3Xeztrk jva3nfEDtH+wZ6qvOLkf3JN93HPuMPeXXDDCfeTe8914gvd9kNj5VuX37sO8 04zhbqLPt7ynY/ZQmHOibw5jsM295xu1udOUD/fd4G53Fx/fwNxr+i9yTDfL eymDxdPd8bwP3BPuC+/oEG0e4bvC7/O8LZcYB94K8O6pnU7OPco4DDQ+3HXe hNO0T5m7MMq4DfBtGW77AZZ72j/Sc0h8+V4b5lzeEerHOYZ+xl+hTe4Kd6aH b84o2zd0zGqucaXtYB8m/stt543az/Ye4hnlupNDfi35HuxWJ7cgV80T5Y9K nmXuHXeON6pttH9S8gzeHrJNnft+a5S3qPO8bRa6XZ3n8PNo37rO/WfsIo7/ Iurb1hn3rUIvVGecsdFeO6yzaZ1rfRqyeZ335jbnMP6zKG9Z5zmdL/THJe/c 2JCudd7TW0piAs9z+omPv4TcXfKdfiFk9zrj+iDnvc58zj+dSp37MD5kuzrP ySah56/zThGnLnXGaqPQc9f5brD+vGIA18Z1YhtXcj5z74jyDnWebXgqvw3x HTMz5PeSb/kCdfq/ixhfLIlz4TrjS2wXrDMWxGGPKE8rmVv2jPKrJflL6zr9 wZc/XQP7i9a5H+zF1SF/lHyf54j2NnXmgykhy9aZA34LmaXO3LpY6C9L3sul ovx1yTdm+Sg/UPJdfzPk3pJ8Z+doH22ZGI8pcsGQ9evMSeuEfqokd1szyk+U 5DvXhsxeZ85aIvRXJd+MTlF+pCRf6xzlx0ryuJWi/FBJrge/X974socd3MeX jBexWiv0jJK8at0ov16SOz6uXWyuHvq1khzxUddm3WVCX+e9WzXK00tyR+I3 mzF8xf1gL2YNfU3Je828u5xb1bkHxP9J/cf3Z4hHnZyXuL5sbCeG3FcyV94U eoM6eeYKoVesM38/bUyJ58PGhZgsF/oG575tfInt+6HfK8n3J4VMLZk3fyR+ db4HN7g2c/GjrtMX/F6lTt+/C/m2JP/ijGxf5znhvC/umQfvnGImrqvVGdub vUvcowlR3qnON/xGMYGHb50N6+TNnIUd6zwP7OEade4j85Z07rtRf6ckd78z 5J6S7//Kde5NV88pZ5TzyVleus7z/E1IxzrfUc7F2nWejf8DDrTysA== "]], Polygon[CompressedData[" 1:eJwtlFlvTlEUhs93VhPzPM9qJoSWojVVVdE0TdM0IlJVRSmqRGnSxL9w70LE TE0JiSnmKcQUN+bhB6DGmJ43a108ed/37LO/s/faa3/ZdU2VW9MkSZZBFuwj vIHFMDX8Q5gTz0otSU6iDZkkWYEuJbehG8nL0bPwMuY28qyE8RP4Dfgq9AUc gjUZ/825jB9G68il6Ht4AvNgCTyHV1AMCyCb98+gW3i/Bh1NHmX+rVryDzgP m7VG+AO/YRXjjehbeKTvQgkUMvcouo7xcvQgfNS+YAb8hX+pz63hnf3oF60f WsnFzD+Or8dXokXkY+h6cgU6njwO9pDryWX4U+gm8kp0PvkIupZchj6Gr1pP rPEpfFf9oiblvH9a++P9ajQlZ8zX1kSehr+JzoSF0IXc1by2qnknfGfYRq4l 98D3NN+71mD4LPPfWk3uhe9tvhfVqBu+u/ladWb98P3Nz1Y16IPva14L1aAd vQDb9fswxryGqp2e3YE8nhWhs2ESfgLk4ndCBX6iuW+BazDZvBfyoAD/Ovay Cx1LvoQ2ww64BbnmtZgFN9Sb5MKo0T19l7wIzYdf8CD131IPTWfsdszVGkeQ R5r3ns5gGH64+VnoTPeiP+WhOuO9ezV6ST18Lnq0Id55BpXMb019z1Pw12Nv WuNn+JR6b6vn8hm/H2st0B7Id6N22sNlqOLZbrQt473UHrVXT6k276L3m6PX VeOW6PlB+MHmd1t3egB+oPnd1h0egh9q3rv6D9C3ruBzUv+m/IfU725O7O1A rEV7vBhnpLPRnVBvf0v9bqjHOzLWwbz31KP/AWP2gZQ= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGm4llMU/erdR1FEg1KRQqUUEYnM80xmKkkjzeRW0k1UciU0XA0qRQmJ Ukm4KmMhKUNJmSpjIhIha1nrPt0f69n7PfM5e521z/fVbtejZffSuVxuaalc LoOtlnK5eyOXexMf3wFtgFuAZig7HpgB/2ngOqAT8DVwPdAZ2Ai0AroAXwFL gFnAZqA1cDPwA3AD0BX4E+gI3Ar8BLQFugG/AO2AHsA24CagJ/A70B7oBfwB dAB6Az8DNwLdgfuAIcBQ4AvgNeAZ4GSs/SRgHfwXgP7AnUBf4DagD9DP9nZg DpDndnfYZ9tn3Z7fq4DngNnAwBJtW2CeE4G18PNdNgBYBsz3vMuBBe73LvCi 274ELAQGAR8A7wDz3L+v11jg/Q3zmXd2DMpjznLAg/AfAIb7PEbasl9Z1JcB 7of/MDDCbccCD7lslMvYr7BEWTX0qwpMhD8eGON+E2zZdhIwzvUrgKU+z8ku Y9t9MUYFYDT8gM2Ae+FPBR71GDVRVgOYYv6QU+QWeXgUMA1+c9hjgOnw3wde zcRNcpLcJEdZ95jHnuaxuRZym3xsbS6RU+QW+Um+k/fkFflIXpKT5Bd5Rk6S m+QoOUlukqPkMHlNfpPb5CY5Sg7OMm9W+1zIm2LOMa7P2+dZ5Zkz/V03wN9z 7fdzHblDLg1xfIebFwX+/jsT58izXIhz5FmpEOfIs7Xuf1cmzq7zGLwr6zNx jHPne7559rkOxq3AbRjPQvOkmHPkELk20msaYS495LpR/iZnR7kP68ilMebC VMdvuPuMcB25NC7bzT9+Vwr5ha6b5DHGO+b8Jn8nu8/DbjvWsenrs2e7aSXm JoeeyMQn8uvaTByc7jbURfJyUSY+Pun2J4Q4+nImPZ3juDVC2RHAK/CLPCb5 utQ8IAcWZ9Itruv1TLqTZ87MdpvZ5hH9T4CV/mafWW77KfCGx33DHCJ/avgO 8SzezqSJ5NJb2W69ybc/yLFf4Db55tFA1y102Rr35xyNfR6co6n3ynNp4vOY 7n2/6vOsHIrfI/A/ynSfi7zvxSX2tMT74tm85nLO08z7mePzyvOe3vSZz/Xa uK/53jP3Ugv93st235NlLq+D8tol7sxy75dtP/YYh6L+EN+lZa6b7xiscFy4 3g8dK2oNtayVY7XabVd6z0U+y3d9nkU+B57TKsf4Oe/7S58Hc81nsIOBzzPd X/pD7fNuMvex7m5gQ6Z7fbfr6FN7OQa1gDowxD7HYF6hnpL739jvbMvvTt7P RrfdZL+L7Sa3Py409z2ej9oxzDFhnptnMN+RU9RT6iw19vtMen2LLb+p3dRZ 6jW1mvr8ayaNbuN2PO8dmfS9t9v+6HF+9HdXz8H+1HZq/tZMur8lk6Z389hs 08NlW9y3rb+5lm8dX67tN6+/p8/4H+97e6ac0ct2u9t08Drb2+5wG/bb5b7t 3Ydnw/zyl/fV0d8dXEafb6p/3Z9nfnDomz7fGKVDXNvsdTNe1Iedme7KNu+B +2Xer+5cXODY8f1QEfZw39kUyuVc52Ghb/os28PtiTLOGSPtP2hb1j7fMPv4 bUBUcG5g/V5uQ5RzXhllf7Rteft722fbeqFv+nt6Lq6lbuibfqHn4l64pyr2 9wu9Vzhm/dA3fZZVdBuikvPfBPsTbSvb59nVcO6p4DHZj/X7uw1R1Tlssv0p ttXsH2CfbRuEvulX8Vwcs7HfTo97zpr2D7TPcagx1C5qW8NQHctZf5Db8/1A faS2Uf+oh9RIvh8Ote7xXVHHOrnLsWfcqfdHOBcybvV8/oxtfZ8h993A68/M H8aCXGvo9ZA7dV3O8Zg7n/K+Glvzj7TPNfObuZl5mbmG/gyXNXHOPtr+DLc5 ukROYv5+wmd4pHMY8xfLZ8I/NvQ9022beo+0rOO+qfnU+z6+f9Q+3rviHNzP 62nmNWxwm/W27LPe4zf3XA3wu+zwpLO/hPxJuuM94fcI3emKKOsUyoEfwrYP 5c8tsN+HNO872I0hDV0D+1FIxzfAfhbS629gvwjpQlWM2SWUS1vCvy+k0dND c3Pey2GrJ+UOrvcEr5k5hG/K4lxEn7mJuYZ5i/XbYH8O6WkNjLEkVM/3J/MW 89QUnl8oH653HcuZ09hmncdn+TDP08Jz7YD9LaTppTH+vyFduzm0N+6rEWyv kGYNA1aH3hCvwx6cFJ/6sPWS+H4YbLeQnl4PWzspvrTzHetD4NdJukOnwN7p OzaE9yb0pmmB8jt8h5vD7xe6x+Xhl03KAS9yr6F30juw7UJvnzKoz5Lyxz8o +zOUo/ZD2d5JeeBG8jr0FjmKfAnp3THw+4Q08Tj4eSFdK85/zGn8D6By0vvp QNilofPuz/gm3d2zyNlQ7jgb9utQ7juH3Anl2dNhJ4feCTNhrzI3nidPQ2+j Wbxzobz/Auzc0HtnEWzb0PvoXNifQjn3PO41lJdnw54RejtfAPt3KGddBLtH Ug69GH65pFxZKSnGjO9U2OGhtyDP+FGfcyvYR0LvuQthSyXl6FWOH2N3Puwf offGmbCfht45d8FOCOnA7bBNkzRvErAw9J5bwLMJvRXvZ9vQm7I7bN0kHc2H Py6kP71hGydpYa0kXpKTt8E2SdLXAcBJSdp5GexFSVrZF2iWlKsGAqcm6fsg YHxI93inHw/d62mheDAWT8JeGdKop2CfDmlv19AeuP4ZsFeEtHdwiK88Q45d 6PHHhmLPuE8kf0Nvfp7TpUlnNTo0H+fivsd474zPAUkx2mp+8sy5v0u8x32S Ysz4Us8+CWka73ou6b7vCvGD3OgQ0kdqI+9Q8j2KpHgz1rxDFXyPhoZ4Ro5R n05L0ijeuZ2+dythPwj97/VXiB9cZ+eQLlOTeaf38r0+G7Yg9C47HX7NJL36 OHRneF/I67We9wbYhknvNmrA2yEdWA67LPRf12LYa0K/w96HXRH6nVAEe3Xo t2AV3t2kd95NIU3hONd6HVxDa/jnJOX7dSF+k9tfhu487ztzxeehfNGRMQ/l N+aNr0K5ow3seUnvjOs4TpJu75l0P3k3qStnJGnL76G7zXv9snMJc3LLUO4h P38I6Qu1hbq+PcSLrSGNoD5cnMRXcvWCJI6Sn+T+heY/c+DmUB5k/vkllIM2 hbSMOvZ/zgzlTa79IK//P7e64gU= "]], Polygon[CompressedData[" 1:eJwtlWmw11MYx//d8xxrJVQjKlLd65ZExO1ma4zdoCiy7226SdZsXRpvbGV/ gUIYxlpZohUlW4lSISkmWYeQpv3zne958Znn+5zf+Z31eZ7T4bIR/RqqKpVK IwS0yJXK7rAxVSqj4EEaj8Rvg+0C46EXfitsLdwDnfG30nc/9GR4HV7D/xKe Qz8P76LHwP3og+m/M7Ya7oNu+FnjqB88BQvouwQmoCfCLPQgeBrdDz5GfwGT 0M+Gx1Zb33AfffsIfkf/BsOktUbmOh9/LHolnIM+E+ail8Fa9C/wa/I/w9DP wHz0W3BueA6NvRzeRF8KC9GLYR36H/gTPRweQB/KnM2wNXAc+jzsXXxboT2g j4X30avhf/QG+AvdAD+j18DQ5DU9hD6GMdphu8IuOksYybcN0J+2s/F7YF/Q mrEnZN+N9jwA2x+/J/ZF/EvCe9DaFyWv5Y3w3WlNfdCvhr8t1ZkqDvi/CXYa /q7optlzXwu7oZtna8XQj/T7CdYm72EzegusQ4+AcejDFXPYA2AH9I6wPnlP GR1wTXLb8egL6Pc5el/sJtgYPiuN+ST6CRiInglN6F8F/yaP8YfuJhwLV8M0 9J3hvoq5Cn23hdemfz7RecNs9A/wt+4m/K/ueJ7WnZ087+C3QQ9FT02OmT74 AzUH+lvoiX8T/h7QAg7UWWnfEOXuxmCnJ9+h7qoROyP5zk7DPxUm4bfHPyI7 J2vLmN3xr1NcwE5wWPYZ62ybQw/8G4puCifhX4jtAPuL7DPW2W5mjqPRt4fn aqv1wVm0dQ+vYSz2vRIfytFDsmO+pqzhG7hKMcW3D+BEvs/Ffzt5zgH4D5dY rcPW4Y/GtoaWyk38vtCtnEF9dk3qUvp0wm/AbuPbFjgqO0eUG3vDGfinw0vJ Y7TX3rJzXznYNTumFctV2qNyKzs3dWet0bNpn4LepHqB/2jJnXrFCVwc/lc1 rjffby1z7yWLv0/23TfCELXjz0uOEdWeVtljqwbpbO/QmSaf8UHZNbO6xEh1 ds3sXPZci38KdArn5GpYBUOSc64l3wbjT06eczH6SuU0+kOYjr47fDeqYZ+h L4eX0XPge/RKWJM8pmqBavSSUi9WoL+Dwcl9Fio34RX0KngcfS98nZyzM5Q7 4VqqtmXo5aoRyWNMCdcc1Zqv4JESI3XlTOZjPw3notb4WPhO6kvOKFcXhOdW zmoti8K1VWvS2zQ1PLbeqJElB5V7eoMGwZ7ZZ6Mzu77kjHJFNXwmzAq/FYrp muwcUu6oBuguLsJ2DN/Jydk1QrVBbYr9jtm5pRy4MVwTVAtUA28Jx5BiR2/u FVpr+C50Z0t1luG3UGd2c8kZ5YreZMXqnPDbpJgdFa4JqgV6c28L57RyWW/I 8JJDyh294evx/wu/XXqDtgNDigqp "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHfY12UVxn+g3/PkyDJnmQO3KKiIhiPMTM3MkWkxAmWUIrJkBMgQQZYM UTJMSs2BgJoiQxMBV24zNmIKaCY5QkkFyez+XOd+r/f9477O833285z7Puf5 /Zp07nVhz8a1Wm1uo1ptO9kVVa12YtRqc2Qr2edl7xK2U/k52TuFRio/K/tH YZrKXUqt9obKfxDaCO2EovoXZO8WtglthfbCbqp/VXa2MFToJfQWhtn2Eb6q Pi/L3ivsoPKLsvcIO6n8kuwM4WsqvyI7U9hV5b/KzhL+ITwj3C78T/iLcIew h/rcL3uf0EO4RLhU6Cv8UviV0NN1nbwvbGfvC9tF6Oe+lwkDhMuFbsIQj2fc 1V6D78+EjkJ34UqXWXu4z3qV0N/zMdegBn0H2zLXVtcP9Dj20lW4xnNwjjXC fOF6YYzHs5fRnpfvEe7LOa61Zf2RtpxprMdxpge85ihhnOvw2yTPxRwTfB72 Mt7tw7yPYW6b6HbGLBMeFK4TJnuOkf4e6L0uFf7kdZcLD/kcrwuPev21wiOe e6XwsPe+Spjr/a4W5nlfjwl/9pr/FhYKNwi3CjcLvxWaiidHCL9R+SPhQ+E2 YYlwk/u8JizwuRcJU4SpwjT3oYyO5tgPh2q+Q4Qb7Sv8Buemez7GNVd7M+GW Kvk+wz5GQ3Af/sFruNyhSl6jP/iEFtElvEIf93oN9Ip24TR6mul1GQOv4BNa RBNwDz2hIfiNntAovNxSJY+vqJI7I+xL1uvhuYgTaL2T1+vptjot8f15lTz+ tffHXfTxnvr6m7X7+Zu1+/u7i/v29r7hyECvAVcHezz7Gl7V67ZXVa+lQfYl cait9zTE4+ti0FCvM9zfvVw3pKrXzAivDV/h52Lz4CaPgxd13MeO99qjPYa9 jPE3a4/1N3uf6PGsMcnf347kN5zeJ5JbcJ24Sqwl5n4zUlcPea/jPC/7ney5 vhWppTlVveZp3ztSb2jywkiOdfS5x3uu/SK1RHyBy3Ac3jeJ1CGaPDBSn2js 8Sr1RZ+DVb+pSs0dEKkfdPtElbpCe2gOHTDv0/YTPto/Mq4t8P3SB83sG6nz eR6Phn9XpYamu99TVeakdh4z3f3g+gDfAedER3D5p5FcR19wb7b7wslZroPb aKqTAec7G+i0i8egqW7+RstdXXe/60fbV/BhT637tyrj3QUqnx8Zd6nDjnK/ B13mTE/a72PsT+ZDRzO937HmyBj7b67rptgvxKIJvlc4OtE+mWCuPOq6yfbn JPebb05ssI+n2C+L7Lv3hH/Zt+PtH9bfKLzpfu8Lb9vPP9ZZ35Jd53HrGnBi if1G+2Kv826Vbw3O8EGVMbGD11nltbjvl3zn+PZZ+5cY+VwDHz7fwIcv2IfE zpd9l/jzRfuQe33Fd3uC9ny89QZHXrXPW6juHfutpcrHWVetZL9j7eHDpfYj nCLOXmYuLLOf8edy+3Shz0ue+p7mONU6xLcr7N9TVHdygxix0r5urbrvWif4 bbV98n3VndZAV2vsW/z8un19ptrPsLZ/IHu6dUtsIPd0NF9eM2dOinw3sqcf yp4V9bl6rbm0Xvi7z7LIfIA/xLSTPJb2f7oP98h9PuA7WO96xm3w2HXmB9x4 3PxYaG7BsdvMnY1e89Mq49ANbiO/kw/gK/xbYk7Brds9F/1vNI8aR/KIuk2u /0+V7076b67y3VA3N+VfCBdr3EWR+Y+5P3H/syP3xH6IP8Rfcu1Ftt19js2e 83zPQf4hPpID2tgntUi+s+bHDdYl75K74f72kdz/r8e293m/sG+Jf19Wqalt 7kf8RCsR9Vr5SqQ+jo58u/BuQQe7R8Y5dLNj1Gtx56jX1i5Rr6evR+qAt9lB kRzkPsgZdfdOvsHXvMmOcO45LPJdRftU96EdPX0jUpeHuE/duKbeJ3WHu/5H kXMxT12MID5M85hbzIl15th5kWemnvmOchk0cw6b7vLvbZu7jD3GZeyxLhP/ WzgHkKNbOVYQD4gzdTGDeEKOONJnYf/k7paOM+dGtlHPeGIOcYW3wQmOV4xn HeLPrarrWlJPxAxiCHHlUNUdUlKXB8seVHJfh8seVvI9cqBsk5JzN5U9omRO Pkr2yJLvhQNk9y+5x+ayzUrm85Nlx3uvw/F5pBZaq36C7xcdoAd4OEu2W+S7 cYt1gjZYr7Xj2wzZRZGcf0b2afOefsxFvDpG8x9d8g0yEz5G6pZxD3ss75kz Hfc6qu8lwk/0vVi4KVLr9G3r/vNkF0Rq/QnZUdZzK40bY25xX6c4Po+T7VQy JrWUPa7ku6mF7LEl1x8tXFoynrWXbVcyT97MfRTHUJU7l3zjtJFtK5yjuvlC m0hd3+Gzd6jqYwpx4CnZJyPvkpxATqnLn+QLcgj+I9/QTn4gX5BDlsoOiXyD XCP7ZmS8QE/nmnvczSO+H/IDuYM8Qz4gL5ATiPHEPuIenCAnsc4maxI94gNy EHkGn5GHmI84zVnRJPHwAnMDLZ5nPW51G/XXc/8l2+EEMZH2sbInltw7fr42 0tdbfVfE3gc8D/GW9wQxjLfBo5G+x+8TZU8tqek1worIuMkcF/vOp8ouiYz7 d0X6D9/x38ktkfkNLU6P1ON1so9F3sdI2fsj7wytDLNe9kOLwl6cUzi/pJ8G s27Jux6EjkreI5y6MpJXV8seXzLm7iy7U8n/UXaQ3bFkXP5Q+CDyf6D3hPcj 88fQSB7Agcmyy32WvrJnlXwHXCWcUTIG9RFOLxnLegunlYxl/YVzSnKuyEbJ /3UG4oeSvBkAr0pydBfaS8b3Xdljyf+T9pK93Pe8SfajyFy1Rfgs8j+kz4Vt kTlpe/WvSuahL4Vayfw0W7gv8s3xBT6M/M8JzXWP1F0/2bNLxsrNwseR/3U1 Vl2jkv9dEXv2Lsk19tXTe9tTdXuU/C+KeNbL/NxNdbuXzJ2fCJ9G5td9iLsl 88MVkXGQ/vBrlTlG7OC9hbbWYiNz+XrZDZFvgmXCzyJ/MxB7ekTGH7izr/lD zFgdGTc2yr4b+Z/f3cI9kW+QKXAn8m2xUvbnkW+DN7ibyP/b3pZ9K/I/wnfg bOSbib53uj9xa7I583+Qm9M2 "]], Polygon[CompressedData[" 1:eJwtlmWwVlUUhj8unLUBSQkBJS4gICBKI42UlxKxL2JgzRhgY3fXjN2ggAiK Iraio8IoSDs6NikNIiGISPi8vufHM+tde+9zzv72XvEVjx47YkxRoVCYAOXg +ygUboHxWaEwB95DPwm70H/A7+hRMBddBvs1NEiFwmHYGYyNDD+jtaPgC/Rt 8HLmd3yKfgx2oLfDITx7If4SdHXsN9CUsXrYdxj7G3seLEBXwD4PX8Ju/BLs R/AxbMU/C6agH4ed6DWwAX02zEOXxX4IH8DIzM+U4Vvn4y9CV9a+4RztAz/D dmL+Huw2/KbYfTAaFmrv2FfgXvgMfzXMRTfimTrYt/EfxvbAb4M9Bi6Dt2BD 5mcmoSeHz7oU6rL2cKidn+dMvQc2oTfDdPRTegd6HUxEPwCf626gN8++EZ5r l3/rWVie+Zvj0d1Y0wo7FJ6Bu2A9c8vgznxM+iTdAbwaPsstMAHdM/m3DIPn dLewKvM3XszPRGexAuahG7O+LnYm/gzsC+G5jfAguivzLcN7qoa+CLuUuRrY wL8Auxi/qs4ZXgvftWJombTiEH0AbtVZwF+ZY640+Yx0NkPyvT6d/z7t+T50 Z9Y0wzaHy8N71N50plPRpfAVei28hO6SvHYQjNUc7GVuHCxAt2D+COWBzhC9 WHGH7os9Bf8GbH8YAKfiL1UMMz8QOwL/+vDafoqZ5DHpRlBHuQaXZP6m9vYr 7M+8x9no2+Egeg/UT44pxZJy9GT0EuVN5j20Td6T9lIMR6OHw/HohnAiepFy hvV9sKfh3xje6wnQPnlMujFcqnxLjh2d8VD0QvT76F7Y3+AXxUjmPQ9j/rrw XG8YnHyGOrse4b2MC39be2qV/IzWNoAh6GvDa3vCUclj0vXhzXDNKMljfEW4 Rqk26YwUO6ugkMfQduyfinl0hGvBtrD+vybw7rIwDV2Fsd2KNZiCXx57LuwK 6/mZa8VBqBSuGf9i/1EMoyuGa9vesFaNK/DuA+ipmZ9RLtRgrGaeEzXRh8L0 zGOqXeWS96IaplpaRWvCNXU1diVMzPwb18NamIRfFK7l68JaNf1H7A/hWrQP fkL/HNaqmTejv4PZmXuEautm7SFcY6vy7cqqQZn3UBFdHl7HrxbO5QrJWjm9 BbsJJmd+x3xophqIfVf3o1gP59Zw7HHJNUy1qwV8Cx2SY++TzLG1PFwLFGOq lXqHnlXNVK61S4515Zxy4djk3FJOKFfbJMe+cvZ09Mjk2rES/wnstHAtUI1R brROjkXliO6mNtQK35F6kXqeep16ku5iTbh36k5qsfZixWnmZxRLe8K9TjGl WNkf7jWKGeVSy+TYVk4pVndCymN2DHZOOPdVI3S2W8O9TGes2CpK7nWKMd1V 9eRaqzvTXVVK7sW6M8V6Sq69innFzsZwL1UMdU/uCeoFraFP8n8C1Zv22HrJ PUm9SD3tDrgJmsAs1nRMvkPdncaOVC2BruEYGIS+BtsNukNJcowoNjTWPHmN 5lRzZ4VrtGqzevaZyXeouxsc7qVnJGv11LvDPV69Xf8p1Avuz2NLPUG96aH8 t6lH9U3u8ertHbENVSuhQ7jnq9c/opgK9/xe+I9i2+Zj/fCvDD/bKfzsFeGz 0juKk9doTj1TZ3G14j58JgPwr8J2hi7QP7nHqrdqrEnyGs3pP9TA5P9U+i+l d+wI1yjVJsXMf5NFRDs= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0+dXzQEYwPF7EUIiW0YpRSGbrGzKrKzXjtf6X8yysjISMrNlZY+Msskm IzMzPp28+J7P8zz3d+6559x7o+dnZSwMBgKBq4pT7RyiUIUpQUvV2Qtd9M2c ylVMY1dFqdo+has5ldHqpu/2GK5hLN9wOi+zBwsZz13sGaz7HL25m724h314 jf25j/24nwNYysE8wEE8yCG8yWQe4lAe5jDeYgqPcRSPczRvcyyLOYYnOI53 OYlnOJElrM/JOmt+qVdaqef6og+q0gTPjNdp8x3NNq9gnk5qjv0Un+mpyjTP rZz1GNRIjVCO20Yd0XD7UT5Rha5rrtuNQN0X+BdFGmjOZo3+6Lf6uiVpuXmD 7muv3uurlumxXuiRPmu9fumTXuud3irD+6xjOn8ykQmaqbX2GfxR+7tid01T rv2eruijdqpSO/RQl9TJc9vZkQWM5EV24Da2Yz7b8wLbcitbcwvb8DwfaLPO aZNmuWdqiTmCrRSulmqhxe7NGKZQNVUTLXJvxMZqoIYKUXMt+P+/+QfOWGlF "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{346, 345, 349, 773, 764, 765, 763, 767, 766, 672, 769, 770, 768, 772, 771, 673, 775, 776, 774, 778, 777, 674, 735, 826, 718, 762, 697, 760, 696, 761, 671, 348, 347, 346}], Line[CompressedData[" 1:eJwl0llTT2EAx/ETl0RZIiQpUmRvI2tEZQ3l2rXh2hvoDfQKDIpQtJkJ/8i+ NKKyZyzZIlmKKzM+z7j4zPf8nqtzzjxpBw5XHIqLoihGzZgoOmi0awtpY6Po u87RVHbSbO/QYZ2tKWynyd6m33SWzqSc83aZDukMTaaUc/ZW/arTdRpbaLRL 9Ism6VQ202Bv0kGdopMp5qy9UT/rJE1kA2fs9fpJE3Qi6zhtr9WPOkHjWUO9 XaQfdLyOYzWn7Jd0s89+oK85xm77ovbTynHmOkvnh+ef/OIEGc4u6QijPKLS 2UN9w1tizHN2WduoZb6dyW/Pf+ilyu7Rdwxwhb3OOvQCdVTYfXqVBZ6zyWIX 752dZI/nTn3FE/bbj3WRXtOFel1z9Kku0Ru6WG/qUn2my/WWLtPbukKfa67e 0ZV6V/P0hRboPc3X+1qoXboq3ClSw50L9y/8T9LD/wv/JvwPMsM3kUV2eM/w zuE9SSGev+7xEP10EaORo9RQzZG4/3f+H9CTX4A= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VTVlEcwOGDL2CChcFSXaDyIUzAjncDKvkS5ogzfgNFjPEDuLBrZYuj Yi9ExUbEbrExMDHQ546LZ37nnHs29z/3DklUxxcnhRAamB0LYRa7kkNYzwaW c4RlHGUj9exhDAepYx8H2M9ornGdy1zlCqNo5CLnSXCBci6xghtU0EQlzayk f0oIc7WfztMMXaWDdb4O0gWaqat1Kws5zCJOsJZ1FJLj3lCGcdY+T4t0gmYx nAb7iVqsk3QEIzlnn60lWs0SdrKD3WxjO2uIuxfXLcykgDOcZqBnA5hhnc8p TlLFXcaxl1qOU8YhSjlGDZvZxFhauMVN7nCb8dznAfd4xMPo/XnCUx7znGfk 8oKXtPKaV9F8eMs73vCetmhefOQTH/hMezQ3vvKNL/zgezRHfvKLDv7wm8n8 JZhHp3bRJKZYJ2sKMbqSylTn3bUH3ehFT6Y5T9fepNGXPkx3vtS3XUUlFZST oIxSSiimiELmxP7/E/8Ao5dtbw== "]], Line[CompressedData[" 1:eJwl0bkuBEAAx+ER9iXcm6Ba932f0bitXUGnR9z3VShEFosliEIhFr0HwIP5 RPHLN/9kMs1E55cmF3NCCMuK54VwnBvCiU6VUloZ3etJz3pRVjH33/nxp0Yj IYxpRBMa1+Pfm0o4J/mmW03bd3zQkabsBLO6UdLO8F6HittTfNWQ87B6dGB3 cZ/dvGYn99jOXXbwim3cYQu32co0m7nFRm6yiZds4AbruM56XrCWa6zmKmt4 ziquMMZlVjLFCi6yjAss5xkH+cko51jKH5awWAOatfv5zSIWqk8zdi+/WMD8 yP///QJy2zCw "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1369, 1368, 1474, 1622, 1747, 1660, 1746, 1661, 1748, 1679, 1890, 1680, 1700, 1699, 1623, 1750, 1751, 1749, 1753, 1752, 1624, 1718, 1719, 1717, 1721, 1720, 1625, 1715, 1726, 1703, 1725, 1681, 1724, 1682, 1702, 1701, 1714, 1516, 1476, 1369}], Line[CompressedData[" 1:eJwl0slTj3EAx/HvT34l2WXLWhFZCnEnRFlKloOyZc2holSYIeMPcMD/YL05 5cAQCiXXyi5Zs2fL8jIOr3k/n+9zeOaZ+SaXlBeWRUII9VRHQyjlArtiQxgR F8JIhpHIcHY6H6JDGchgBrHDeYIOoB/9iWe781iNI4YofdnmPKJ9+O056B8t oZdffOcnP9jKV77xmR6+sIWPfOIdH3jPZt7SzSve8JpNvOAlnXTxnI085RmP eMJjirnPA9rooJ0NnOYMJ7jMYeo5whVOcpEiHlLHVa5Rxm5G+e/RNHi+Tjml nGXPv+97d0rPc44FdhJjGcN4xjGBG94v1ArN1olM4qa9SPfqYk0mhUZ7ie7T HE1lMk32Uq3UZTqFNG7ZuVqleTqVady2l+t+XaHpTOeOvVKrdZXOYCbNdr7W aIHOIoMWe7XWaqFmMpu79ho9oGt1DnNptdfpQV2vWczjnj1fD+lRLrnPxzkW /X/H/wKAMV4d "]], Line[{1473, 1430, 1434, 1435, 1436, 1437, 1585, 1678, 1855, 1677, 1853, 1676, 1854, 1695, 1852, 1675, 1850, 1674, 1851, 1694, 1849, 1672, 1847, 1671, 1848, 1693, 1723, 1669, 1846, 1668, 1729, 1690, 1709, 1667, 1687, 1666, 1887, 1886, 1643, 1885, 1686, 1696, 1689, 1891, 1688, 1710, 1644, 1888, 1670, 1697, 1692, 1892, 1691, 1711, 1645, 1889, 1673, 1698, 1882, 1883, 1879, 1881, 1880, 1712, 1713, 1515, 1473}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.3999999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.3999999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHVUV9n6/9ExsTtBvbYi5pjIwUZFBrsYAxXBrsGcwY6xC1uxURHBxPyY yKAoKghISkhIlz1+/a71eT3nrjPr9+N678z9ln+xXuvZ+7Df5+x4nr3386lj N33AhIIGBgZNixoY/OffxQt/NzVeEaYbe2eZ7kczT6X7jWlBnoOfCZcpeOPN Sisf4WHGC8p7XTwuTP0RvSLCbna5LfVh6sPUh6lf6PTb4AETHkp9mPow9WHq Dy1uOGlW92dSH6Y+TH2Y+ibXqjh0GhIi9WHqw9SHfeILRNjGnFcKTK9vX8gh QrGd6lqneICfcHL26OSZO4KEKf96U7Wzr8xeSnmY8jDlB0+q3fLBvVgpD1Me pryuW0PPM9avpDyMvbGRafNtwYlih7FvzWvjMW/Ma+FPjzs1+zEpVYnZ23bp xKnBuking6Waj9upWOn69c9Z+EiY9wkfXWNr1rrjNeE2p9ccL1Z6i+Ky3Tih VtQLpbZnWd89rreFsU+xNIlPzIhSrCrt7HzV+YnYVz9tuKPRmdA/MOWp7/pp b+awJTFih7EbBh+e0dkwXniO58n0OlsT5P9h5/3C2ClP/cg1XtOK1EwWthzn nZp8JEX0Yed9a8ufNdNNedwsXfof74v+B9P/YL6P9v1p+yN29GjfH+WpT//D DmOnv8H0L94PjJ3+BdO/eD8wdvrbnkIft7qsfaaMXz9hk5N7vHJjQ8icAd4+ SnuL2RuUG8nKoo2Tfh4+er2uap2UpY0HH1Mq9I8rEjXhhPKy0Z7jp3eHKh1i 71j0OxyseNaOsSnkEKe87+vwSJfwSFn+LN3af36SlB+28pOVy9o0eZ98P9rD 8747vLmtX7nrSpp7nr9XwRSlgVd6tyifCHmfwbfWpn53NUyxKniowZa64cKb Xgzdcnp3tNJy3e6QrvNDdSYeJwebzJihbD39tOm6sUHCuY8MnYN6PxH2iF5x pPN4P2GZr/Q8s25en4A2t4UdHj6MuWd4XpjxZ9j4wNX00Vek/8C8v7ZOm683 sL4gHBXmftl7pk7qN3+fHLpm4H2pD1P+bu24EUf97grvfpY5bFr4b1I/pfl3 r9dfDZD6MOWnrfw8pF3aI+FDe1c2MTB4KvVvx5RNGuIfJPVhypd0Wn8ibnWg 8NwftjX6rVywzFeUh5m/mb+ww9j5/zDfn/5Af4TpXzD9V9sfYfqHli+GuR11 co+U+tXfJz5OzHgl/5/+iV7WY5j1FWa9hFn/YPQJ6/sP45n5k/kDRs/7c6PK bakbK+OZ+ZH5B+b9PLKfUmbk94ky3/ms0qU4W8WbM9/BfG+Y8j+sfN3/yq5Q mR9hysOMZ5j2wOiBGc/wyqwblWtcjZD58eOY4haOF8NkPtyydvTN0t2DZL5z z5m+pF37+39YP6s2GpCdWjJNyfnb4qkO1yOUJmd0QQ3tIpQrB0Y6DzIJV+zG upy+ez1aMd0XYpUxOkjpF3HCzrnzK8V3l+fERqd9lbvzC+x7UOK1sujWyjvz LILNyywPOZs26VfhF4Nfj5nte1A4MGzzoyXbLglbOLm7/dj0uvC2geNjn6be E/ZznRlgcdlXeH+4bvrZYgHCHZf1tHec9kR4zkb/qQurBwmXbTtofKvFz4Ut u4ZN7m7yQjgucazdh81hwsa5iY6lzKOEI/zbtYjpHy38buCH1q8bxgj3Om5+ xudFjGJidOhg63svlDclY6LMm6r2cc0KnnvsGSfstbiH6alx8YrllcX2vunB ypli8RPPOat2/yLFW53vkCBcY4TV6Y0pCdIfWq3Yujet2itlzvOa6RNNg2X9 p3y76DJeO28nCa9oPdBkzk/JyrRy7hOHV32shKZbXhi4RLUfvFy5xc99U4TT S444Nez3FOmPYxzTFg5bl6zYF9ra7eTRh+IfvG+w6lB24i1lpnWvJgtXq/VL bDU6MzYwTXj4qzFNOq9KV1JzqjmPKHNI/Ik22xYWmm8UfwN/gfIyX+hZ5gs9 y3yhZ5kv9Mx8wfoYs/3wnc1fxgt2xgvMeIHxHwy2JfmXiQsRfwJ/Y8O+hldb 1omV8owvGH/CbX7lwlOCA8S/YL6yWujQpPwviVJe628M69zH22Ws+j7xN0Rv SsqRqJcnlf0luxRpNeeE6Fu9fVXRdUNP/EHv+RoxyY0uhCuBk8Y9NrMNUTKM rOx1pnHKgmv9V0See6wY5UVNbTUiSelzvdK+t6cvKNtvt1xQ+12qcuLniAVH d67X8TznmYdnOd13V166TQmtcjpNKX/1sumEVWfEP+H/4W8Yull2MOp4Vfmh okVjt8mpisFVn21jnl1TtuYkVPuhq6qH9aVNC4eZ2/tdFP+K+a6r6WG/tt0j FG/P+0M7zowUfyblcObQ0Kfh4l+XL2Z74pJzuPKmc9+oOz9GKx4jva4F2L+Q 9cC92fBlBdq/UOp6++67fCpG8VtkuTGw4TOZ/8vvnLDZY/NTxdOowcY3Car/ XHntDfMHO9JlfWa+ty55LdkxNlTX4v5aS91gV/OKJef71CijslMzr2oT3gQK ezbL6XzuQZAw6znPK/+DyeaP556IPcQ6aYpHVIDwrOiui9M3/iacHO3ru7b9 A2H8Lxj/gOe71+0w3bj4HbG3rXuuwdIxt4TTHvTc3djurHDMwwFN7c5dEGa8 in+m/347y252f1D0nDoeXIfEFw+/KeNb/DG9PTd13NO5x+8IOxaZ9XLPZz8p L/6X3n5goPOj4g/8hQ0v+qS5fPlOlBd/S28/Ytsvvt8bdT6IdAhMGX1Y9bdY Pw/VXdm+1MJQ6d83czzmzZur8t8qJzy4NTpIuFCPG2uHjFOZ78fz7O3zIg/0 fSL25e1q1SphqfJDL484tzF+wpvK/Dj+6USV+X4w34/nDxrgbzih/W2xb8gx XtuppcqHphmP2/vdeWHTJgvt0supzPzC88x7xF50Nbwu84WvgcXF7Koqu14/ 0ybhqo9w+OgCF66fV5n3z/jjfVvfdngZVT1SuEfC3Jx5sdEy//H/qxptLt00 7pH6/AXKhkGvVS65NyF7zPpnwk2mlm3zcI3KzMc8z7dvSPTSg8FiP7ngjGuV oypbDp/b79G1MGH7Jq7rO1xWuertTzp/7whlXeXdb67MiFCSJ9Va3bRghNKx TAXnSnOjRC/zCfo2d7w6fZCLun6cufnL7B+nxCrD1l1oN6VzmGLaNnJ0J++X Ul+7Xn+ocDutfS11/a+2e0VWl9x4Kc/8hH1Cqu9UIzd1vVk2e93MBl/WkwWd itwv4flcCZ7v0/tvY+PF/112Q0mrfylOcRtYO/VtVqAy5oLz6P1LXin28/zT 3n5+pvxcN9giu2KCuh7r13ee/9jncUqBlqq/kGq1NcOw6GspL/6+3t7B9fnk V5dVf3Bog93T0zemKubbU757bXdL4gPihaKz7WwCOqXK8/APqH94fkSyX9c0 pWDQvsUGsXuUwasbDVo5Kl3iAemvvf2jjQZsl/nq0tqOHeZWXyxsOPVg94eD 7ym7b+7o4P/gtWKxsLhxwbQHyrI1Zj79LJMVzwuZP1Q3ClWMfOOXbdoZq5hu d2q6rdITZfC1yLDzFxOVIbct4mqsj1SeXh7cdPj4FzJeezxLapHc31uH/w/j /8P4/zD1fWs9jKnadJPUh6kPUx9mfcSfaXlJZ93gQ4zw4+2rPoSXTxCeOucH t61NXguXGFhlcJ+u6cJBO9MXG5zOFK63emBwmHe28Oy5l5pdupsrfNu+xvIt AW+Eyw1xfjE1/J3wmB6xLXonfhA+06bXqno5n4Q/1z0V8fnzZ2H04I+hB0YP jB4YPTB6YPTA6IHRA6MHRg+MHhg9MHrwH9EDowdGD4weGD0wemD0wOiB0QOj B0YPjB7tfi7+Lvpg9MHog9EHow9GH4w+GH0w+mD0weiD0QejD0Yf/jr6YPTB 6IPRB6MPRh+MPhh9MPpg9MHog9EHo0+7n068gV4YvTB6YfTC6IXRC6MXRi+M Xhi9MHph9MLohdELo5d4Ar3a+AJGL4xeGL0wemH0wuiF0QujF0YvjF4YvTB6 YfZzzg+q87x2hwzRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+h3 vHWk0tafM0U/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPo9/YtNHg wrezRD+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+j/9nuU9vmFskR /TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4z+1UWbByb1yRX9MPph 9MPoh9EPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH7zOWcr2G7ME/0w+mH0w+iH 0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj8cc3/k2z7p0bI/tvhY3aMFisYLG694 3d/bOEn42rhzv09rmyrc7OD1oPLHM4QXbapjknY2S/ih84qlv93IEa4+PSnk iF+e8KRR/Zovfv5W2Luf14qRMe+Fi3WuFN427aPwUJP5rcq//10YPdrzX+35 NvEp+xna82ziR/qD7Dfr9/NKl4jNHR6WIXx3rv33D2tlCc+LS5pjPj5b2LT/ 1POebjnCsdczsv+Wmius7T+0n/4D039g+g9M/4HpPzD9B6b/wPQfmP4D03+0 7xf/nveLv8j7xL9AL+stzPoDMx/DzE8w45Xz7VLZi9cVC0iX/QD2k+nP7C8x XmHs7Mdghzmv5PwPveynMB/AnGdy/sf+W7uwvY6etu4Sf8PsP8yoHd6qjsU5 4Q0/LZlq3OGQjv1GysPE7+wfYoex8//hn1wH7r7yNErOY3/VrT/cPvelcIhH 5rsKBeKEG+0fbJNe8pWw0/rLx/yqJgr7LDL6dLResnDFKUsGLmmRIjx+ZPwJ W7M04eFH6xnUrJchXGDfkFPFm2QKu21bPeRN8yxhm3VXCsR/ny38dlmK+9NO OcKuC42H3eySK9xzts13Hr3yhNMmLfXY0++NsIvd+eFrBr4VNh/xqtDc4e+E 4/pX9Rw/+r3wut59Rg6Y8EG4TZdFRSwmfxQOb+/h1WzmJ+FlLaJta8z9Xbhp o/LFiv/8+Q/n3z17hT2pFaXePyF+ZL+N+yAw8xf9+1C1BaXq9UqV/Su+L/2Z /RC+N/c1YMYvz2N8Mn6ZD1n/YO4DcD+E53GeT3s5z+d5xFOcj3O/BeZ5tJ/9 D57P+6K/oofyWuZ9MZ5h3j/vF+b+DPWZz/j/2Nlf1O7X/aPn+9rzduZ79p+Z 72Hme5j5Hma+h5nvYeZ7mPkeZr6Hme9h5nuY9RX+Z+8LWNd26liw1J93X+Dp lbA6Pu88dfBDi6UbA+8d02nP07Xn5fmdh2vPu7/2PFt7Xk37zNqWr3LYI0M4 JupcYNlimcIZh7YPqZStsotVu4rLrLKEj5Wp5rKqXbaw1eUrA3M3qTxi0d6g dwtzhA0amG+dGKRy2aRalabczBW+uOXW09BqecL4I7B2v5jz1I5xtuFvZ6jn qfmdd+d3nq09v2a8af0FzlPl/E/vP8j9C73/AOM/wPgP2vMA7f7/1553/+Xn yfr3If6DXk/pleHdFq28ILx/UIEdAcP26P6vnzcznzNfFSru0DEjIErO6161 U94vD1RZez7Tbe2yZ0Z5L8X+JHvH7IE5L//h8z7iJ/5/rdgPv5kaxEn9zQsS Gr8roPJLx76LA0u9Ep7+dHRtw5IqE3/xvOu37jjFV0kUe/PhZ56fqaays2WF ZmvrJwuX8mrof7OuysRvPG+k69q6e5uniN2/3dxl9i1VNmoYFtqlc5rwqY3p 8+d2Upn4j+f9omvscKJuhnreu7bWzg31VA5f2r/boi/+H9zg0sgKOxqrTPzI 8x56rL+x/It/KOfjC5alObZQ2WTWhV1D22YLzzmmc5z1vcrEnzyv5v7MimO+ +JPYAx0TuvcwU3nR2GoZrbrmCt/dXvdmvy4qE7/yvEnrB0/u9MX/lPP/4X33 1LZU2c/m556lrd8Il1+xqnLjfioT//K8K4su36r8xV/FPsvyTOaHv+PqFi/3 Jn3xX2G7Oa+nFPo7Jn7mecWmGFXNGvVe7DfbVbAMHq2yQ/Me2Xe/+Luw57gf 7kSNV5n4W+4jjlwyzX/SR7GXbTh3/9nJKnsbn+jt+sU/hg0Gnqt2dYbKxO88 z61P/F03p9/FPqpyWM76uSoXKV3KdeEXfxq26VplhssilbXn5f/qeXbXj5VL OfzdeXN+95GYn9kfYD5e2TjrfPAElV1SnrUNt8mU8uwfiH/g8lNO75PqemY1 fKiT9fYsKc/+gvgLBd+1vpam1jfweXHhZmi2lGf/QfyH6Ytmm7ZW+WKrUbmt jHOlPPsT2G3DP591navypAMv2xy1y5P4g/k2a+ex6U4jIpWdi7rtWN0x7A/3 sbTn59r7YF97nk57op1t3jiWVM8n8M/xV2D8bRh/G8bfhvG3YfxtGH8bxt+G 8bdh/G0YfxvG34bxt7V68MfQA6MHRg+MHhg9MHpg9MDogdEDowdGD4wemHiA +5r41zDfE6Y89zkpD1Mepjz3PSkPUx7m/cLU534o9WHqw9SHqc99UurD1Iep D+MfES8Sb8LEmzDxJkx94jPqw9SHqQ9TH3+e+jD1YerD1CcepD5MfZj6MPWJ F6gPUx+mPkx94k/qw9SHqQ9Tn/mL+jD1YerD1Cd+oT5MfZj6MPWJb6gPUx+m PPEP5WHsxEPEZ8QTsDafDZZ8L42d+5yyv663079h2Y/Xl6c+9zuxw9i5zwlr 812IP4lP5PxCrxcmvoB531o76zfPY33m/7H+0l7tfKZ9P9r5Tfs+sFOe+Qs7 jF07X2nfF/MPrM3/RC/9B8Y/Ij+G/TFt/hP7bbA2P4j67IfDlNeeH7C+8f/Z D5f5UdMe8rfY/8fOfibMfiVMPCj76Xrm+/F88sWI3ygPU554DDuMnfgKO4yd eAk7jJ34R+J9PWMnnsEOYyc+wQ5jJ97ADmMnfsAOYycewA5jx7/HDmPn+zO+ 6c8wdsY7dph8Q/of+YYw+YYw+YYw8wNMviFMviHM/Mf/h7X5dOz/ML/I/WZ9 /2e/HCZ/kvlT8vX0zPN5H9r/x34S/0/uF+ufz/45zHmW5E/q9zslf5L7xfry 7H/D7J9Tn/0q6st9Y315zgNg7fkY+6eS/8v9YX158llhzg+oT3xGfW3+IOcL kn+pPz+hPvuz1Jf9Wn15yU/RM+eNzFfa8zzJD9Kz5AfpGf8IlvwfPeO/wPgj sNa/YD1iPBzT+RUaeSFb9OFPSH9uXtC+86/q+qZd7/AnGC8ue1ccPfMoU9Y/ 7XqIf8H461u8eHydCtmyvvB8xpfZqzsrnExUf4bnMV4zB/S6lzhDvW8Uvt1p llvbS7K+sj/IegpTnniU+QL7vMXXqvv6hMl6S/yEnfgJJn6CiZ9g4ieY+Akm foKJn2DiJ5j4CSZ+gomf4CZVq/ez/aIP/wC9yWUWvXvdXf29in9XPinP6+Jw s+ZPy1X/tszkns8MgtXvXWN+o19MDbMV975nnlT/z3j2SLOV/hZf5tXQ1l0a GoQoZwM2TTUpfETXPunC0kE9XyhZx8asa7hmy//5/ND88kHzy//ML78zv3zO /PIz7TKvFauYck7G+/L4oVEdSvjJ+N4bt2VeeESQzFfuKxq3y+upzp9+5b/X 2bwPUf2fr8zndLKoc89xfqSizRf7q/I788vf1OZnavMxr02ZvHK+/y2Zb5mv I04XfmzeKlNZVLfzT6eGPZH5lfm5d93bez7P/sJ2nmefRb9Qotv1Dapa85CS Umli78t9wpRli59PXbPETdnwS4PUCVmXdO63XO/dLZyplHx72jrE+qHOJnHi itQ+WcoQL4uqU84+1533uVuk1ZJsZe+qkiVDZgYpG3acHncn55Jut9mbWnuW hiieGwOPOvrv0dUcd8i0QYdgmV/d4pb77vsyfr9vNPVtua63lectkhzHhkUq y5pPMXtS+oFiuLyH0t8lUlll4z3YeZDvV+ebFtp/9dHNoEhlaf8zHz5/ClEq T5hSI2+pq672wdQiAbYZyi91KjilFb+rm71hV6dRJzOVdXGFpzmOfarr76Yr EpKQpTj97tnHoWqYzrpe0UNWVXJkvXx+sv/xDfVz5HxZG3+gL6fL6c9N6ocL X+kyKSzcJkxYm9+Kv8b8fKNv/ZMzKzyS8m2tTmWVuvZY2Hu50bHruc+Ef1n+ Ysn0Oipr82E3RASELV3wQtHmO+Ofpqwbv3HGreeK09sBTVzKeunMOhcKdBn+ XOKpxc0OOzaIDpf4e8ubI/eTSkYocT0e5RwwuSbjgfZr86sLD8jYUeWSu7Sv jk3IT8cqHvtDe8kvxj/meb8eKpHWzPGqWv5wFWf7KzeE32+osct13X3hpRu2 2xSKu6f8s/mjxHdyH6N2q9VbHaLkeb03dXw+wzhaeJfzfhOrJjHCCz8vql7/ 5kvhEaPWuVdtH67EzEg80KvqeWXO9bL9Gm0NV4wjxvXdN+GSxIv8v9/SomcY PIyV+gnTCi5r2DZOuN0o+9CCXV8JV4vsfj8sOF6YeJLnTfR3M7oUmyD2Ff38 mkf2SxQOMjNdeXl4svClayXnbElPEib+5HmF3Wf4Tf3wWux1TbaEb5uQIjy7 Rl6rGTPThAfvCazdu6jKxKs8b0CPvZ22FM8Q+5jCp+8eNVe52KfI6Vu7Z6rf 2+zRK+cyKhPf8jzXNgZbplbKErtnTtkaS/qoPCylq880m2xhS5NWnUfWUJl4 mOdl1B2faFknR+wGcXNm2g5R2S3sWM0+trnCO2u4bG3bUGXiZ55nXsHXvF6z PLFbPwu5385O5Tw/w9n1Hd4IvzJ8n1SutcrE2zxvQ0GT7Z/bvxX7/ttmxhWm qdzzyrTfDOa8U+eT9z9apJqrTHzO88IzN75+0f292FO8XOekzVd524mntcKd PwgvT7rl4ttHZeJ5nmfyMrvLRZuPYjc7WOjBbytUjtvZ1unS2k/CgSH1Uw8P UZn4n+ctChi6c7Pt72L/dZNDnaObVW61evfDLTs+C9fzXdPN2U7lvzo/vOCr NTs+d4uS/YiPNkUHn6sUpVyZeiK2XKFHSoMH25b4NY9SHhUt6FjC+7ESsmvQ kUvDopTAnZt7bu77VClStGHxKgOjlCJvrAKzPJ98db55TZvVj1ItotT9zokn LnoNjVLqedsN8jILVKoeDmhWon+UUvlAkVltQwOV2hnLj1ctF6Ws7GYde2FN sNJ97/Vb35tEKb6Jh4ceP/n8W/76t/z1/2/++tfmp//V+eh/dT55fvni/eul tdvsaqfr4l3a42CRDNnvGdp55volipsu7fghh6JvI2U//ppv0/FWtlGK9ven eL81K/3kb58VKft3tw9tSD3Yepvsz1A+vGfjpUcaf/FvS8fE7ooJ0Xn4nQrz eJitbLGfZvPzjhdyfsN+z4HaFWOPRGfL+G5Z4mr2r7uzlWLRrcqebBMi+0He eYPSD4yNVL7fFjc8dKuPYjjZftMOQ09dwTeBC2O8MpT391eFXqvvq7u3Otmj 8YdMpZj1m4yRqwJ128s6TUpuk600Ke5q+SJPpxv2bk7TtcMylZhjVX7e3SVA 98u+4f2e7lLzp/Cn2T+AsRPfYYfZX9DeN9Tu18Ds18Ds18Ds18Ds18Ds18Ds 18Ds18Ds18Ds18Ds18Ds18DoIX5FD4weGD0wemD0wOiB0QOjB0YPjB4YPTB6 tO2n/9N+mPbDtB+m/TDth2k/TPth2g/Tfpj2w7Qfpv2MV9oP036Y9sO0H6b9 MO2HaT9M+2HaD9N+mPbDtJ/5hPbDtB+m/TDth2k/TPtlvtK3H6b9MO2HaT9M +7W/N6s9z2a/A7v2PJv5j/Iw5WH8Ce77Uh+mPkx9mPrch6Y+TH2Y+jDxtOTn 6Nd/7fmj/L6sPn6Eif9g4jeY+Ev2A/TxE0z8AxO/wMQfMPEDjP8P47/DfE8Y PfjjMP4zjD+Lf8f+IO8Txr9kv5D3D7Pecb+N76XNt2P9gSV/Sv89sLP+8H2Y r9HHeIMZbzDjDWa8wYw3mPEGM95gxhvMeIMZbzDjTfs9mO9g5g9YOx7Zv+X7 MD75HoxH3j/jjfNzfq+W8ybOezhP4nyH8yL8E+4LsF+Fv0U+HPk4/P4q/hLP 53yJ8yrOkziPwl8ycFpXb9tQtb/A/H/tfqD2foD290O1v68j9zn17UMv9WW8 ch9C3176H/oln0m/3yX5THomnqG/wtp8P9pL/hRMvh9Mvh9Mvh9Mvh9Mvh9M vh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9Mvh9M vh9Mvh/M++f3f2F+/xfm931hft+X9YD5Ema8sj5gh7GzXmCHsbN+YIfl93L1 64nsV+gZO+sLdhg76w12GDvrD3YYO+sRdhg76xN2GDvrFXZY+3vAjFfmO9YX xrPct9aXZz6BteftrD/Ul/vX+vLMN/BIE+vu/u9ypD73r6kv97G5PxJTZnyR vSqX3fVkmWKu3sfG/6A/Mf/D2vhU8qf0LL/noZ8vmd+Z79FLecmv0jP+E/MX 8QL/X3ufjPsIlCdeojz3sbT5l9/uB/xr9wP+p+ef/qv3DfLLH/1H7yP8s/mc 2vPx/PI7tefnf3a+J+ML/0F7Hpjfeb32/H2/peGA+n+336XNx9PeF9Dmz+R7 Pq7N/8znvPxr80P/7PP1/M5P/+rz9/zyGbX5Sf/V5+t/1Xk6+VT/r/N08q/+ 5fP0r8zX/bPPy7+df387//52/v2/9/z7zz6f/rPPm7/lv3/Lf/+W//7vy3/H n5Dfo/tvli/+tefn/+7zb+39Um3+fn7n4/J7OadGXlmeO1un/X2R/M7P/wNT br33 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmlQl1UUxs8BZRcQJNnhTyAQJKgBKiibYKG2kLYXKCmappm275HLh+pD 09Q0077v+z7Vp7appn1fJnOyclqmZaZlaqrn6TwMffjNvf/7P++95zzn3PO+ iVWbBjcmmVm6myVjPBrMB9XgDNAFGsB+oAAUghyQATLBiWAEpIFjQTuoAWeB FaARpABsbzznBNABakGq1njuWjAKssDBYAGoA72gCRRr33bZj8oP+pAOssEU sEnzPHAa6AT1YANYD3LBZj2bD/pAMyjXc+mKbRgMgUlghvRgDIOgFVSBuaAN JLRHifa5BIzJ5xT5mCFydE6ptCzS/ynSY0S/OZ+sZ9JlR/330b4cp4OZ2qdE 2tRKH9eek5XPGmk9pL2T9TtVdhXag34dKd33B90aedZx4CjpMSbbIv1fLJvN 0j5beucrZpeGScpJg2JYoPwwti6Lepkuuxr52Sa9K/kfNioEWy1qbkQxvME4 sX6g4qhQLmZrTl+3KTesp51gBzgAbNfetF8kTUuka6nmBYqVa0tAv/Yu00i7 xWCW9jpC2jUqzgbFdahF3bBmWKtTLeq2x+KOFf4vx0XSbL70WAoOkh7JyjXr c6HFXSkQ9dqjX/ExfurSIh0PAXPke0L70ecBi9rel35By3ywRTGVy6ZFY5Vi 67aJOuyR/83SsUTP9un5VvnBZ7kv62Oa9OuXny3SkWeskI6NiqlTcVGD5TZx B5cqBvaVZdLkcIs+Uqe4DgPzNA4oxjbtVSXfBrW+XPMq6bREPrLOe5Ub1jR7 EPsJ64/3Kk1nDyk/rE32xyytDcuG9/R45S9TdrQ5D6zUHitlzznzf4zFfWAd dUlz3kPex2o9P2oTPXmN1s4Hq3Uu/18rny8A62SzWs+k6f+TZLNOv7Okw3i9 5yp31ID1tUO5W6Xz0rTHhbLlHd+qHLI/nGrRI/j/ybJZI594FnsH7wbvBfv2 Ros6OUXrfJa1cLr0YL7OVc7oy3b5Q307pCH7KHshex3vGe/MeM8506LGlikH tGc9nqP4WONnW+R/vXyaJl/o01TFxNjY79hf2GdYJ2OalynWDYq3Qn6Wa6Tf Cdlukz3Xdmq9UnYJ+bBFZ10H3pbvN4F/pGWO/MmWfhfJ53Gf2FtKNedZt1Ef D9sbwF/KZ53yR61uAUkeuc3DeJl8GJYt8/41+Ea6XUnNPO7MI1zzqKOPwOXy 516wR5rdw9x49JIPwdUW9/FTcLt8eQC0ePSwh8Asjx5zP5jp0XueBO0ed/pZ 5tjj7n8GdmnPr8ArOvctxujRF14Dczx60BVgwKMPLcLYBy7G/EtwjcV7kmvX Wqx/Dl6w6D1Pg8Ue/akH414LH14FzR49cSHGTo/abcXY5lFz/2njoc8n4GOL vsU4ntE+exRDkzS72/TewvxOixrPwDzFo0ZzMGZ61GmBR39nDT0n/7jnY2Cu qwdjfMrC/37M37Tolcx5tkfemefXletvwXcW/YjaP2Gh//Og16P+uPejFvsz V/dZ5OtSi+/PPNXIwxZ1wtw+aJHfXaoJ5u4q+UR/fgE/W3x7dnvkknn8AXxv 8T1LDdKkQ4fHtwLfQ/M88s1c/wF+t/g+zfLwif7UYV7vcf9LMb5o0Tt+Bb9Z 9PEqrCc8vpeLMRZ5fHu+C96xeA9VYK3So2fdpTwxR3+C6y36/V7VK3ORiv9z PXpLA8aXLN6vP4KfLN4HtVif4fGt/QF43OL7grZlHvbM+RTl/WXQ6PFuZhzv KZbd4AuLOme979Z8tke9slarMa/x6JWO8WaL98Pf4EaLd0iTxxnc/w6Le8s7 +77FveWdnQSbWy164b9g6+sQ "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPF7q2LEiD2iqL7VllbNorRVe4+atTUIwktqrxqJpPiA1t57 E3vH9qESImYQREgk9t7rf3LOh1/ued77PuOec88NzxibFgxxzg1CKF7iLdIR wHr8xGAMQYR3LgpTiWNxDffQFeHYinzMj2Ycg3rEBxnroA0OYTU6yBw24g+G Yhji+P9exni0wGY4fhvBMBJrsBzt0BFlmauIicQxeIqV6IWeOId16ISmNpeL VPvPdjxBd0TjFhYhCZ2xCkvtW3qjNu/aLyNaoTrXOfYuyckNnEYP+8a19g3y 7rl4gLNojG6SM+5fwtgMk3HS1ihra2S5WobWlrMVeGj3RiAPd9EFYXiMRzaX hgo8fzFjitMchXG9i7EGmuMq2vLbPMt5IeLCGEdcEneww3KTbLXYwjDKaU1k b2xAhu2RgswXQAmnz5DabsJwq7GsNcD8FFtzDPEzqTumSZ65vs9YGnPwDxcx y54he2sbY9DpHvuNC8iyb8jP/GW7N2i1jvb6bKn5AnzFADTBZ7xCH/THB7xD JPqivNc9Jntrgu2Ncl5j2SPXpc5cZzPWl+8mLoPxtoZixMWRSVwKIcSXGGdb DiO99pT0kuREalWF60lWs/l4b9+SiJ2o5LUWUsNv+IIoW1NV5iqjptNnFCUu 4rWWmfat0rPSq9lW+zzbO7IHFqKl170qe/Y8fjnt/Zn4bv+RuYGW+79OezfL auW99qrUTNYa6vUskDU3ID7stPdlz360mkgt+jndC8+d9lqc1eKTzUlN3lhO JBfptvYf9i2Sgyu47bR3paclF9W89pbkJJZ4D2MtWafURHLjtTZSs9dOz8CA 7Yl9iPf6X+n53fIcr70jzziAul7PAjnjEomPyjolt7hpOZTcyRl0DKec9rac mWeQyj3tnZ4JcnYkcz3D6RkivZ/A9XSnZ0CK1x6X3pb/HJH7vJ6t8s6GxC+c 7kW557jUyuu3JCCJ+ITF8s7/riSkWQ== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXn8T2UWx93nUpZCSpYsGVFk31qkMkozUymlok1jK/u+y886ttQ0TbJT IkJSMghhEDJ2ErKESGQZVEidj/O+r/v74+Pc5z7b55zn3Od8/L4lmrR/ol3I kiXLw/ZPbLa12TaGEobnDJUMBQ1/M/zVUC/KkuVRs4+YfdzwpD2XM9xgeMZQ wXCjoZGhoqGA4SlDeUN+w2OGR21efcNAe+7PXi8YKhsKGRobqhgKG1421DAU M7Q03GwobqhtaGBr/N3QJPLnpwzNDE8bnlGfjalquMnQlH71NbV2NUMRQ3PG NjR0MbQwvGx4xfCs4TlDS+zzhlbYFwytsS8a2mAbG+oE59XO0D4Tx8OG84Zz ho6RcxLfTlhx6YxNeDSCR9dMvLphxas7thVzGjKnJ/zEqwf9ajc3btUNRQ2X rX3C8JOhX3C+fQz/YF3N6w8/8cowdID7AN4pZoPgJ16DsZo/kH719WOe1no1 U2yGsI/41jUOvc0OM4w09GXP17Fa4w2seP0TKy7/Yj9xGR75OvLlTfrV9xb9 4vhvrHx9j/nq/5NxGGr2HcPoyJ/FZyzrjjBMgJ94jePda4YxjB0O9/bEazz9 mjOddTV2ImvIp8n4I77vYsXpbTgqTlPgKO7vY9XfzTh3NZQ0TGI9rfVBJj+6 BH+eBt8+nMMMuMi/g4Ythq2GWfCWr7Ox4vsRVvvMwYr7x1hxn4tVXD/Bivun WHG/xfhMNfuZYX7kz+L2H6y4f8F+2mchsRPfRdgPDZ9jZxqWwlVzluCD2ovp V3sBa2utZawt7v9jnOatwAdx/y9W3Esb53lmVxpWRf4s/qsz+fElVn6swWrP tVj5sQ4rP77Cyo/1WPFYDi/x2AAv+bcRq9hswi7jzFbAdwvz1d5Mv9q3Bue+ zbA9kx87sPLja6z82EtctP9O3smnb7DyaTf+yI89WPmxi/51xF7fifJpH+vJ jwP4II7fYcV9P/3quy0430OR358J9++x4v4te4rrUXwQ3yP0q/0D78T9GFYc f8TKj5P4LI4n8Edr/4RV3yn6xfH/8NZ3UyY4x7OGM/imvtOMVVt5OpZYnMvk 02+G4+z5C7zlx8/4eYT+3XD6lX75dAErn86znuZcwjfNu0i/2rqH9N3rfvod 3+S37inVKNWk7MH3Fpc4uD/yNQT3R+2ywX3Navaq4P5o/6uDW83Pxhj1Dcd3 3TWqZ6pfqmc5gu8jn3IF90d881CfxDFvcJvF7HXBbWTIhxUvaZLHbMzDhmuC r6EYXE+//Lg2+DvFWzpE+kU6pgG+q06XR79IK1RAv0gzVEQHSStUQqeo1lZG p6jmVkFryL+q6AvphmrUW+mG6mgZ6YYaaBnphj+jaV6KXE/lD6mmaQo/8WhG Wzya05Yuk56SrmpEXBMt0IJxuYP7rZgmmkZnkDN47C/gv2pWO/brQFtrqI6r 3j8QXN+0jVK9opqu2q66nBGlmiap9/3pS3RSazh2Zd1Ex3RjzwzyU9qwH5qg Pe9ejVIN1DVKdcAbxKUja7RjbB84DmCsdIDqaqIL3mS+xurbGAEX1VzpA2mT IbQfCq5RpAnESTk9DB6DWDvRha3Ye0Smccr90VGqkwbh00j2TrTOSPregmui V9Qeyhqq5YkebUkcB+JTopNeh/fbzNfdqfvhELx0D+mb1L2uu/Fr9latH8/8 ibS13iTaitdk2olemQzX92iL6xTaiV5RWzqlC7VfPqgWT8On6bQTPTEHfro3 Z8B3Jm3xm0U70SKJNpFNNMtsxiW6ROsmNXsVY1VDl0apRlG9LxVco8yLUl0y P0r1x0K4LqBvKv1aW3eS6sRpfFrIuDHMnx6l2mUR/FTfF8N3Ke1EP83Fv2Vw lQ/LaatvBe2ZrKF15+HfyijVMSs4e93HZ6NUr6yOUo2yJko1ylrWVU3eHKV6 ZR37qN6uj1JdsiFKdclGfNjAuNc4s3Hw2Mq6if7YHqX6Ywe89W5blGqOnXDa RVs8dtNeBsdNcFK9TvTIHsaJx176xGsfbXHdTzvRFoejVJccgOtB2uJ3hHGJ nvghSvXEMbjqXaJHjjIn0YVfwuk4c1TTVIdPwUnPie6QPYFvBzJxPcU4tU/T 3sPY43BV3U70yBnGJVrzK3xQrVbNrh7b2RiPe6nzgfp6En6qwaoVqhk5qF36 /3hjOKr/cpTqkkSnyP5CXC7Sp7bWyB5S3SAdMSD43yD0N4Eewe/cXnDU2KvR FNIWWfnOIjSB8lprZEOzxNR+xfcSeysuv9E+AV+1VU8LUtNVZwtQ61WziuOj avGN6AHNk0bJHVKNkiekGiUvNb4Y9V13dVHeqf4WQQ8oFtI9OdEs0i650CnS K9egLQqjK8SvEO/uN3sX95T6bkJvyJ/c6J27Dfdxj5XlbBU/3W/3M1drlORO 1thSjJcGKY8WUltjdb/VDP5/IX2j9wT/f4W+077BtUsD4leRGCoGNYiDYlCd OKh2qb52x6fK+KVzqMRZKN4ViLliUAVfawX/v8EhYlmNeCoGVYlDohGvw+8y +K6/O92BhumD7pL26W62A209S5M9Gfk+9+CjfK2J71qvFhxKE2vFSTVaOkE1 vwf5XJc9H2Rf/Z3hzuBjO5ttxzkMCq6vruiX4PzqZDonndHtwc9S+a8x0mTS jQ/yrPWz27ecw/AS55Gfc8wIfk7yU7pRf9d7wt7Xp61nxbJZ8LOSrq4X0NaM 198AZR9hvGq6/gYxKnI9rTnS4dKj0tl6p3MTF51PJ80L/jfDx4OPqc9YtaXL lXdPBz9/5dGzwfNCOfJi8FxQXjQMnmv14Kq5Ov8mwfNCefR88PxSjnclhnU5 F+k4+dEeX5SnrwT/5tswRvePntsGv5cU41bEvCOxVJ5oXWkb6YXe7DWKmHfE X+V+i+DfRG3m6nzuIgdKMrYT4698T8HPT2v2DL6Hvt3O5MQV/U8MdX/2xy/l b3f2eYBcqQOUV8r5wYxXznRgvHyR3z3wvTbj5e9DvE/+Vid93od1lLv94J+B b38JPkd5Lu7Ke+m+O+kbyr59iUM5nuV7L/wdxd2Swfs++CI+ut/1f7x8xKUn 6/ckXppbB25t4atnfV+yg3nfn2f1TzZsCp4XtewbWhj8273Xnj8Pzv0+e14a /Jvfb9jDGewy7Aiex13h0IUYDyB/WvPcm30HwuEOnkvgRy/ipe9NZ6zvabvZ zcHz/SrjkC32v5evMRwNfuYV7N1Hwe+t2+15VvB7q5o9fxL87qhszx8Hv8Nq 2vPY4Pf+bfb8YfD77DP5Hfu3Ucrs9OD5OdwwjjwZYnZb8O+utI25NfY8Hmr4 hpycybpaU2ssZp0Z7K19FxBrxWARsVac58JVPOfgm/wqbrZY7L8JlDQ7mlwt bM+FYv/dYL3hltjzbzaxUBw+MEwltu8abo79e35f72L/ziuaXRb83i9jz0s4 6zGGieTVSrPDgt8bejeN9xPMToFPFZu7PHidKGfPXwSvH4rffGL4jtnx5PMq YqE4yKcJrLOauCgm3xkOBr9Dtf8+OKwlD5QDGw2Tgt/ZS8jXu8mdreTPt5yT zkg5u5O8/Tr4uepMldd7g+f2FsPu4LVAWlYaTrpM/9/tSS2Xr5Vi9/dXw4Xg d/fPhvPBfxeK9ENT7L/55DN7fez15hC+ya+89i5P7L/VXDJcDP571FnDueD3 /mXD78Hv92OGH4PfldKwVWOv+UXMFo39Tj9hOB7896iThlPBa8wRclpn8b3Z w8F/18pv826I/TeTM4bTwX/jKmDvCsZ+j38a/LvSNxWbzRp7fVLulI89f3KZ zRn771HXms0de32aZ6gRez1XXpSNPTf+AKijnns= "]], Polygon[CompressedData[" 1:eJwtlOdviFEUh9/33tp7dKCtDm2ptkqp2iKEIKW1ZymKBg0SH/oH+GKvCpHY xF5BhPhixRYjRmLF3nvP5+ScD0/Onefee+7vnMTissIZLgiCIoiAwAfBYgZa wxioTn8pNgfGw2Y4DXmQBJ/gG4yAaKd7PXvGmo8GtOtBHO2JcAnWQX/oC9WY qwJNaI+Dw/AYCmEWzIOXMBgyIJ21O7Cp0Anq0F+GbQsT4Dycg57QC+KZr8Am wFSna+t7vYvsuQZXYUAYBPnYY9CR+TnYZHgFLyDS7nAULkIfi8ERO1POag9r 4Cz0kPfg8zb2DgyEglBjWQv/xRbTTNq7sGnQGZ7DMxgUqo9KzC/BtoEiWA1n oDukwC24Kf5DPeMe3LWzCrC12V8TYp2e2ZD2cmw7mATN6CdDOet721vfwBB7 cyPmVmBzYTIchxPQTeIE/+CPrIPRsAFOWSwSYRH8tblsuA43nMZa7rxR1nHG NKd3+I79DaMgBt7DW4iCobAbWnmNVXOnb4mmX2Jvkth0oD/bYrRTdONVKxLj BfAZhkMWbIcWXt+SantTQZJCfKTRTvGqBRn74lTz0eZDYhPL/BSLUZxoGZo6 HcvzqmnR8kyn2lwPpU41ul/uzZqu2HTRAO2tTnOrHK7AQShzmjOizVXYilA1 KrH5CMMsRg/hqehH/lr+gfUnsYWh+kigv9KpNkst9puw053+QZLXP0y0sb2i Pca6SJzgkZ0hviVH78MDp1qTMyJY66Cx0xoguV3Da+2QHBct1vWaq6JJqQ2R XrUoNUL2VvaqdfERJb68ai/eWWy95rLEOJv2HtOC3PGXaS7bNJTL/AGLbUvT aui1tolmc2jvs7fJH6x1WqOkNvVzmusXnOaG5Pwh+1P5S8nRhdgfMFJ06TQ3 tjnNTcmRn041HWNr5sJl853P/i325+X2p1+d+hRfUlNfw3zIdJqTMV5jIrEo sbl3TnND1jxxWjMzTAMfnGo+yzQitaSq11orNeU/DtqfhQ== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmYl2MU/dV3P1uUtCjCE9myxWP3WEoborRnMm22pCkazdS0aUZJKFpU QoRStCqyU5FIKqHVrj2TUgg5xznzNH+cue/+ve+95y6/qdm5R/OcsplMZl6Z TCaB/AN/9gH9gBeB4yOTeQzyE6AB0BwYBdQFbgIWA9cCzYAPgXpAU2AjsAG4 C/gUaAi0AJYDjYFWwArgOqA1sAq4HmgDrAZuANoCXwNNgHbAGuBG4BbgY6A+ cDPwHjAVGAN8AEwDxgILgPHAOKAj0B64FegAZLn/FJANdAK6eI5rO3uc/XnA TGAisAxoBLQEnva+24HtwJ1AN+BJn5/tsc4+ez2wDrgNeMb7ugK/AHcAd1t2 8p7V1gf18h0wB3gW+BmYDDwP9AJygB7AfUB397cAm4GeQJ7nuLY3cK/7xcCv QC4wFBgMFAJ9gfu9dqD7BZ7vDwzwugGe/xvYDwwC9gC7gXxgCPCA92XAowOQ RbZpW9uYdiR3yKHh3sO7BNYnwEOJ+DcMeBiojrFKobXkZlXzk9wjH8nLH4C5 wCTvedDnksPkC3lDTpLLDWxTcpMcXW7b0sbkJ3lKvpKf5Cn5Ss6T4+Q6OUlu kqPH4i4vQY4EaoTuRx8iB0cnB7nXxfbNcp88mZCId1zT3u0O1muh9TzRe0v4 SW6RL+vc5hy5RE6VcLKEU/TFbl73XCIedfe3eRY5N8c6y7H+yC/y6k1gfiLO kVO9PJ7jNrlETpEv5A05lVdqLq/UHLnUx9+7w/fkXIHnSrg12PcrObuP5/p7 3UD397ld4DnuI+d2eyzP/SHmAeeHun/A7ULPkSvDPDfc/cRcG+o5cu3RRBx8 zGuOC/HyBbRfSeT/2bbjONv0aMxXMD/eBt5KFEenWJK7r7lPrrycKJ5lGWN9 Hvk+0ncYYL309XfG+1vdbV/aZ3oibnH8XeBV92ckin2dPEZukVdd3GaMmpUo xtFGU30H3uUd33W8vzHJfPgR+DYRv9gnf3paTna7ovVEnVa2f1CPsxPFxK62 W2/bboy/ze9O8zvb+14zfP8JfkNH332m739oSNejfPYsv4W8JI9zrac5fscC v43vej0R7yd7P+1V15JnXuNvzvM3qYO5fjfv+771xTjzWaJYsyRRvGMMYtxh PGIsYuxaaA7QXov8JsZExhrGmY/cbmY9bva3Fnp/U+vnDetosfc09Tc+9nlL /d3mlkt9n4a+awPfl+0W3rfE363nb9W1Xub7LtQX+UDeMm4u83lfJIqnrSzZ Z2xlDGVsZVxd6TZj6zeJckM7S/aZJ1hDMH4xdjEXrip1xkqf38R7mFO+SpQ7 21qy38b7vvS3GvtOjTy2ymvIzer2edYaa3w2bftTIi7zHut8r52+2z0eW+9x 6uBz65B+xriQ7fPW+o1r3Wc9c5v30//oP/QjcpMxkjGdvN3k9t2W7Hf1d5ZZ t+Ty94n4yHtt9N2qOh89nog7rA/I/9+AI0L5mmPbPH4Yxrbavnzvdt+Fcofv sMP9bv7WTrcZKxlbH/JZzAf0ucNx5i6PFfvb+QbjNf29wO1+3ldcan6Px393 O993/91tju31GmKfz6NkXcv6pBzW/+n5Pz3ONn2V/sPYMtB7uH6X75DrtX95 nDmDubnI8m+3/3Gba44M9Qd57F+vKbJ+Cj2339/M85vzPZ9x/VMm1C6yTpmT qOOKrpEe8Vi4nbrNtcw3FZwzeEbZOHhGRfO8fGgPx7nvEJ+z1/rq53fzPYP8 jqN8H55X3nu32ca5/iZz3hOJ4gT5RC5tNc/YrhaqmchJ3oM5lfm0smu8ER6r 7Fxbxe0R/n4Z34HvOMZ55VjXhI/7nCqlcgzHH/Waas7FlZy7eSbzNvMucw3H jvN4Vd+TOjzGeqN+GO8Yr5lbGXcYaxifPsN87VCcaQd5n+/QFvJe3/MS3jmV b96Cdi/f51fIHSG/rYT5Cqn8qgBjXUJ58hCMlU3l/+Uhj0jlizdg/vBUdhiD 9lWh/NmUb0xlzxZon5TKhudDnpPKTu8zV4ZiyWLID0LxehTkFaHaYSPk2lDc uo68CNm2FeTJqbjQBjg1FYdupC1S+fnNaNdIxaOlaH8Uit3PQF4T0v1WyIah XH0Y1l7vGMT3Hek3VoO8yT7/B305FO/2ciz0O2k/5F+h3wH/Qh4IxW7qLKy3 BPLCUPw8Hu1mjgvnQm4IxeQTMd7cPlwO7YtCce8HyPqhGuQCjHcM1RybIH8O 5YBvIeuFYj/tMNq2YAyuYX4ejb0Xh2Im7VzRtr46ZD+ur4KxJqE4VBPtlub9 l7RPKLe9Bfl6KG9/B5kdyjc/QnYI1Uln0bahHHcO5DehHHQK+RiqE8jZT8zb RyCHh2oi8jfHHL6Svhji/pmQi0L5dxh9N1R/nAH5XigfnQo5K1Rj8K1HpXov dd/X+qde01S67Yb2QPvdNshOobrtbMhVoZzeHXKQdXga5LxQPXM65JuhnFsL cnqoblkDuTpUT4yAbByq716CnBKqt2pCPhiqwfqH/JO+OQDy0pC/L4f8NFQv PAt5ayhevAj5XKgWmw85J1RXzYZ8NVQ/vQI5NVST8X2X+Y3UZQ/rk2+63O/K hzw9VV1wAtq5oZpzJOdDNWhP+l0oBjGu3BOKLe0h7w/9luC+Qu/tDVkUqtXI 2T7mLWNPnVTx5wG0B4fidi2MtQ7lhjJoZ1L976Ez+ttDsYh832LOfxiyPe1O 3n1v7jGWLAzFk9NwRlaoNqf+xlmH5Owk83Y35J5QDbSZZ6aqqeaG+EQuMUbu CsVJcn+B+U87f21bU3+/hHR4bcgn6Y8NQj5M/10X8gf6Au32mm1XDFnb8flJ tMeG/s9EPv5kTk7geaFav1EofjF28b47Q3eeEeIieTgU8sxU3OPZ/c0xxt13 Q7H3nRCP/6+9Qz5G/6Kvrwz5e51Q3KHtyK+Z5ti5qexH270c8m369dOQE0P/ G6sbirmMt2el4je5zZh9tuP2ilC8YKx4I+Rj9K/nQ35CH2EeWB/KBeT+ZPP/ q5Cv0k/J92nmPP1mmX2HOec85x3mgSWhXPAfU6XBBw== "]], Polygon[CompressedData[" 1:eJwtlWm0T1UYh//s9xD3sjTcul2zWq1lZRVpTiuVJjJdM30SRYm+NPehD81p FVcTDRYiQ5krV4ZoXqhkNUpkSkpUhFDPz29/eO5+3nv2+Z999n7f97QeOqZ6 dN1SqfQQBDzCn0dhRiqVesDT+A3wNl4LP+Kb4Ht8MKzGV0Ff/Au4GX8G3sHn w1X4ZpiDT4JW+N2wCF8GK/CVsC75N+7HHwjfOxLa4NPhA3w2nIvfA4vxN2EG Ph4mJs+Zhr8Oq/Ge0Ak/qyiV6jPWEE9lnBJ+N82Zhc8Mz/1Iv8/cc2A83oT/ PxVes9a6BG7Fm3L9EF6Gj4AWxEeJy/Fv4GsYSPwtrMM/hw34gOS1t4e5ye/w la7pnuR71uJroH/yPSPx1vx+HcZGcAtUEu/nWkO8LT4075f2/DB+HizEf4b1 +JfhZ+sZ+/EOsADfDLfhZ/IbBWNjGA4VxPu41gDvAlvhLeJXtMf4h+Gz7gf3 4ffCsOR36og/ls9/KlwfzqHavL4d+E7YmHzPOLw5dMbfg434DzAoOcf24Xth FL4JPsE/Dj97PTyJPw4v4u/CtfhumIe/Cp/in4Xnak8vC+eQcme5zgj/LnxW euYu/Beda/Iax+B3hnNvArTEnwg/a1ZyrVwevqaa2YZfE94rrUFrGxvOHa3x FPa2O/Gf+F44n3iQchavYKwi7s14mPggXEA8WDWAVzKeRtyT8QDx33AS8cmw J3mPGuGN4Xf8djgRb1LYNadZ4Zwtz89oUPjMdda7iU8vnONl+RkX6l7VNF7F eAbxAMZ6ELn2asJ7qRo8tXCONszv2I74bBibfE+pcI4oN7bDRcR3EI/T2hjr E3fLa9kFBXE92KlcVT8onLPK1bpaA3Eq3Cs0R7l/DLYl10ArrvXLc9Xg/oOj 6gHJc1oWrjHV1jHi5sR9sh9JrpWDsCW5Zu4K95SafN6H8H9gcvKccu4vK7xW nUFHfCDXp+msGI/AX/AT8VadofYJXkv+X3vmdyjce3TmLymX4H38eXhQtQYn hHty17xn2qtfoZZ4qXoI3kc5h18Bz+Ez4Tf8unBtqGcsx5eF56oHL1FuQ3Xy b0zGr4QXknv4FvzqcC9XTxgVzpGq/I6jw2faLOf0pPA7aO0roQU+MexvwGK9 h2o0+ZmdtRfhteqZc9V7oJdqXzWotcCK5Heajc8J927NGYI/G+4l6vnzYH74 3t7Je30g3Pu05w/jN4XPUt+kS8M1V5lz8pJwjVbkGrg4fKY6S+X0y+GeoF5w /IzC76h30xr34H+Ee5d6Sv9cQ6od9dwbwz1BvUA9V7n0b7h3K6eUq3UK14py dhHxwvC7aM/6hnNcua1vRK/cQ9Q79I3qkXuGeoW+GdXhHFdu65t1PJcK545y 6n9A9BWj "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHfclmMYfRv39YTsVXb2+MuWltFUWkqUEvLFp50oTURWZCaloaQhLUok ZDXILmWXkSgVKj6Vc5zz/t73j/M793s/z72u6zrXdb9PtWu7t+xWPpfLzS6X y1UAn5LlcldGLjc35XLtwafi90tofwJMBu4H7gXOA84HFgKTgPuAD4HqQA3g J2AW8DjwGfAc8ADwBTAVeBBYA0wDHgK+AqYDI4BvgOeBh4HvgBnAI8Ba4AXg UWAZ8C7wLPADMBN4DFgPjASeANoClwJNgRbAxUBdoAlQG6jj5+QL/B75QqCZ +SLgA7/fGFgJTAGGAy09Xz3gSs/L+S5zX32gNdAAaAhcbm4EPOn52gBXuM3x rTyOYyrB/neCBwPtvD/uqz3Q3GfqYOZerjZz/Y5mzneNmXu51sy9jPL61wFd PJ7jupo5rsRnoy07m7mXG8xXATeaua9SM/d1k5nzdio6a3Pblf7o5nW4rzKP uRXY6DE9gN+B64GewBbvqRfwh/fUG/jLe7oZ2O499fG+mnnNp3zW7sBOn7kv sNtn7geUC+3pNmAJMBroDzwNDLAvEt6pCAxE+2+f+Rbv8QrbaxwwCLgD2CPk yyFJGqIOatuf7WzTYX6X/qaOqC1qbG+MqwwMTdIQ447xSg1RN4xRaoKxz7hh bFJbjGNqa4RtTW09bJtTW9QTY5faop4Yr9QwtUsNU1fUeq0kbVHHjElqmtpq 6PGMtxapoJ+8nshNUkFLTb12C/uC613m8c3sp3Y+Qys/a2Jb0qYrknR4iW3H Z429p9Yek9dYaz/juDbeS1vPxbXbe728fvi7zD4s9Tj6slMq6KpDKujq6lTQ VcdU0BV/M24ZX9d57U5uc+0Sz5vXWJdU0FVJKmjphlTQ0o2poKVSr93Fv/M6 5HjGDeNtsPfRzWvcDdyeFFuM+Vs9ltrp5XWpnd6eh9q52fMytvt4D9RdT++f euzhs1E7fb2nQd4H16KO+nkPFdBemqSnsUla4rvUEPdLXY1P0gz3OiZJd+xn 7FMD9/gZz3OX+4d5vWeSahI1wzhk/DPu3kuK6ZpJMUPdMTaPCMU2+w5Du2oo H3MMNZXPTdRLXYN6qWdQL/UN6q6BQY00NKiRRl5vuPfFvpHun520JmPk7aQ6 OhF4xefn2eck5WjGz6/+zRw218w4eyOpPtNev3jeUT7DCJ/jTWCe7U47TUjK LYPcRx+8at+wbzEwv8gf4+zTt/yMvjokNGa+nw2zb2jvSbY5bTy5yPbPFdlj SpGvphbZflrR3qcX+eF5+2EB8GJSTh7ts/e3H2YW+WGW/bA/9rmoyC6zbfMD 0L+hyKZzbGf6eYb9PMBrDLSd5rlvjO2eX3+B9zDP/htgu7xqe060f/O2ec32 4V4WOQ5eTsq5tWzv+R471v572nZf7Oec4x3Pw3kZ6zW8pyXe83K3+9tmr7vN vqV+h+su89oHhsbwHdagj5I0dWRIM8y/Vc2N3b/Ce67uMYwr5pY/k/LLR+6v 4TU+dlzQn9/a3oyRT5NihHGxqiguVhfFxZdFcfG144Ix9XlSTDFnMZd1tg+/ T9Iq4+JHxwW181uRzzc4LpjLNjoGyJuS9LXJv5nv8rmP77LmrkuKu83u7+lz 8/zMp4zBn5N0zzy7xXNsdbuXeavHdvbYEs+32etSD6xbrJPbfEbm6AjdRfL3 kH9SIV9vtz12uN3HvMNjSz2G77JWMF939RzsZy1knSjzu7lQrmdO/9f9rCXM +zv97i63+5p3+R3Ou9vvlnn8LT7HNttqt9fgWGrl/SStHBQ6Zz6eWUvy8c36 kb+TVfT9qqJtMsRnKu86ROZv3uv4PPM7vFdV9j2bvyu5JpH38L1rT7f5/NDQ b7bZt5ffudNjhjrmGB+sD8M8P+vXPq5l/8+J/1WR6cy1gX0y7e1E8AWhHLMv 2ntl2nsO/G/Idr3Bbf0fLaG/XCZbl6Fve8iHa8HfhGJoG3hryPf3gi8O1YF7 WEOtYWqSGqeWaZtDfcal9gHtfRf48pBfmAdYO3kfy+cFtp90m/mBuergUC6j nar47FvAG0O+/w28PqSbn8HrQnpg3wb3/wA+O6QRnuk7n+tb8FkhjWwCnxuK pV/A54T0xXV+91oZ7FTTMUbbV7L9ueaPXpd2+tO2+gN8XkgvzOHMs8xzrdF3 cqZ7x9dorw7liR3g6mGtgf+2L+i3XfYdfVXB/ioPrhHSyE7w+SFd0A9H2hfM 2czLzMlHg+8OaYNxtK/j6hhwaShXVwM/FMq33GOr0D5pj59skzbUQah+1GJs Z9IIbVMxk30GcM3Qf+zu4NPtX9pjs23Cs/7l83Lv/3j/9MlX9ksP+i1U587k +qG8ekZoXs5J335v/w4FNwppnbbZbftw/Yv8Pv38q309EDw4VP+qYe/HZLqb 3AccFbrrlICvD9W65uBDMsXjTSFf0j4jwA+E6tXtoXk5J7VBXzDGeQfjvWGO Y55+4t2GftjPvuAdjHcO1vb6ITvShi3BVTO9eylwYCadHQauF6rn3cDHhmr6 ceivE6rbJ6F9YegucAn4jpAuT0P/NaF7B+fo6nn4zaZD6G7SkL4KxdGgUHww No7CO0dn0ifXHOJ1T0BfA7QPB54AjnccMo7ut62mgKeGanPdUE5hPhkFfipc y8EP2p7tQufhWZhvRobsOh08LfQdaDL42dD3oTWhWGGcUFtfWl8zwC+E7gET wOND32PGgEeHvjNNBE8K3SHGgseF7gePgx8Lfcd6BPxo6C4yPKQfaucl2jv0 /eld+j90b5jP2AndV14BLwh9l3qdcR36LrWQtg/dOd4ELw7dD94GvxX6RjUL PDP0rWsVzxq6i8wBzw3daVYw1kLfsZaD3w/dIZaCl4S+q31CG4fuLgfDrs1C NWklzxqK049p+1A8VsE7LUL1p2Mobhgzx2fyN33NesJvf6wpB4CbhOpu01D8 MfYqZ8oXzBVVPB/zOWvU3q5TjUM1jPXrP/Vhp2o= "]], Polygon[CompressedData[" 1:eJwtlXnwV1MYxu/86n2vou1XWQqJyM740zLWsZQ1M5axZ9/aRKoZOxPRviOk tGmxJEUiiRTaS0WFUJqENGT9PPPcPz5znnPv/d5z7nmf5/227ti5Q6eaoij6 QF24MotiNWyLongD7kf3gHnoD+Fq9LkwF/0mnIa+F95HPwfr0GuhM3o7PIR+ GD5GnwwPoh+Ak8LXuqHvSa+l3zQui6Id84XoOoxrYAWMCu/pZvSj8Cn6bWjJ 812Yv4duwngT7Mu1hhrhZ9iuNbi/C3qi74J30fPhDvSdMAZ9ItyAvg1mo9+C S9D78L4G6XceCwtgM/emQVf0FTAivIeDePZ25u+g92a8Fm6FWcxnwI3o5jxT X++FjlDLPBmbwelwH3zAs6PD+vr0XnRtf55dxnwrupbxJ9UKdoa/8Tr0Y7AI 3ZTxbrgcPmI+B3qhO6VroWuvoWfA1+iBqnn6mvRXcBR6JmxAvwpHol9P35sM n6CPg+no7/XNZVUD2BOalv5mfWsJc3Q2MJhnN8Ex+lb4Fj0VDub5E5i3Q7dg PFq1Sj87BVpx/wCYiW5eefPA0loenScvwpDwO+vprKHgWk/VKL2m1voGeqMP gXHoBfKUzhoGhb95HPpwmIheA8+iD4Px6BWwHP0FjAzXZCt6C3QL10TZuCZd e2VkEvoImIReG/by2em15elp6TPW2a6HWdUZ6Ns3KjOqJQwNe7AN+pZ0Fk5R RiuPypvfwRD0ofAKehm8iG4LE9CrlOF0jVVbeWBJOlPK0hbmi5U1GIb+AXaj /4Ld8iack+4J6gUtq+y0T/cCZWiM1k6fXT/onvaovKkeUpe1Av5VrwnvdSQs D+/5fHQTPZPOiLJ1YTobylgD7u1VurY1VS2WVntXTcam96C1V4d7ySrlJtxT lM2rqv0rozrbhWkv64zlpflZnWXYu3PT3pGH5ZXZ6drIM83Yy8WV9+ule0cH xkbpHqLe0woWh3vQfty/lHnj6pnLoEXprI6F35nvgj/kJajDvRroET6z9cpi utd20TX0P+na/K3MKptpLw0I1/Jz+DFc0xfQz8Mz6JVhb49Oa3lcZ39BlV3V 4E/tJb0XeeA/dFF6Le3pM+bHw/DwGuqNyrSyrB75SLrnqdepxw9mHAh90UvD WRyU1srkynTPq61qNkLeSmfvadiDe2Vp7yjj56X/Q/TfoR6odw9Ne19rKHtT YF04g+pdi9LeVg/biN6QPssd6mm6B7+GM63e07p0b1cP6st4FjwZ/g95Av14 unaq8anoNqWzIY/1ZxwAS8L/gZvlLegaXmMiejz0R38Z7j0T0lo96KK0x+St +lXtXkpnWTXUbyene4veoay/nPa+Mr9J3k1/m9acmvaIvKEz2Yn+DbqHPddP 3kj/N2rPDVm7Uems9WJ+BmMfeSrcs89EP6U9hc9kB/qX9H+v3jkqXUPVThkf jh6W7l16x/8cCzQM "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0MlRAlEUQNFGQW2gkXYIgI2JoGurWLMiAIhDHCJwBI1DQCNwZwriADiA Csrp0sWp++p11f+/ulRrVOqpIAh22SKZM4RExBQtl1lhiSwhB77lNSLHKgUO 7dd0nZhNNjiyv6dsvk3u0Std1EtN640uaDv4e0wrifb0lwtmnPNDlylnfHHK Nx3uOOGaY3acs82+ecIn74z5oMmIV14YMmCPJ5554JE+b1T//9scg2kpZQ== "]], Line[CompressedData[" 1:eJwt0Uc2nmEch+HPJvT26UQnIqIPJAwtwQLYgD3oLeZECdG7mRr1qEfvZReu gcF17v/zO+/sDTY01TeGBAKBZgY5YZ1o4x+N0iGN0Q39osOaoSOaqZuao381 W8c0V/9rvv7TPJ3QAt3R7zqtxTqjJbqvpTqnP3Rey/RQq3RZK3VF36l2r+oF l/Rwzh3X3FDhm3KW3AfUuLu1nwV+ei/qLGfsUmvb0zde+eZdRJf7N5MUek/p Vx3XU7b45b2tLzwzSpatU/t44pF0Wxod7l7ueaDO1q4pmkoiySTRZg9qArHE E0erPUIjCSWcMFrsRxyzxi0DXH3+6w83u0KI "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{332, 331, 335, 731, 722, 723, 721, 725, 724, 647, 727, 728, 726, 730, 729, 648, 733, 734, 732, 736, 735, 649, 708, 823, 693, 720, 672, 718, 671, 719, 646, 334, 333, 332}], Line[CompressedData[" 1:eJwl0mlTjXEYwOHndOpUWlSHSkJZs2drEvIdfAEzXhte+wRmSNkKhRkkOy1G RKiGEK98AspWKopClq5nvLjm97/vOXPmzJy7eNfeHXsiQRB0sttjJ0UJQVDH /GgQLGAu8yik1n6OFpBLPnkct5+ls8kmTg7H7GdqFulkksFR+xmaRjKppHDE PkljJJBIlMP2gUb44/2Pv9QwxW9+8IufVDPBJON85xuH+MoYI3xhlCo+M8wn hhjkIO94zxv6ecsA7ZT7PXe0gQN84CPPeM5pTlDkc+f0BX3cY5vdXX3CeRaa G7VYL+gZTrLIvJiX3q+4T6W5Q59ykUtstWvSs5yiwvxAL7PEexlL2UyvXT1b vK9oDw/Zbu7U5XpVS/SartBHukqv60q9oav1sa7Vm7pGb2mpdul6bdZ12qIb tFs3aatu1DYt09vh95IY3gAxkkkhNbwX0kgng8zwtsgimxziRMP/3B3385oe 2miklv3si/y/92n5gFxC "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Ht4zlUAwPHfbENRopTotmSMXUxG1gWzmQ1hpEySKaRMK6tWrVqsWiW3 CkU1t5SKoqglVKSrS9HNpbtuFF3d0uc8/vi833PO877P855zfu+bUDS2oDgm iqJMLzWxUdSF8XFRNI7TmcJkBpMYH0UXaCmXM4GbOIsHeJD7uJ8qzmQWs5nJ 4zzGGTzKdB7mIh6hMzMYwpN04Qm68hRX8BVZ7KQbXzOUb8nmG3L4jmH8Qnd+ JpdfKSLJXu7Vc4mMYzhsfIT/aMcBDvIP+/mXdP7ib/bxJ39wKHwHZ1fNGEoo pYxyKqikiolMpoHPTNW7tYJU3yGNFNJpy43WC8kwztS7GENH82K9gUG0N++k d3ItHcyv0xIuC/s0P0/voI1xMi241Ly5DtRzdLSerZeEe9UBmqDXhPvU/uG5 0IJwjzpKT9N+2lT7ajMdqadqHz1FL9YmOkJP1t56kvbSxnq1HqM9tY7ma129 Sm8nj4n0YBLDuY1bw96J9d44alGbeDKs19P6HMvxHEcH6ydoQxpwIo3oaL2c 1sa/61528xt7aGX9R/2J79nFD7S0fouWcWV4dsLd6c2kcT7Twl3zNAvCGXM9 Y3mIC7mHynDezGEu1cxnXrgnnuFZFvIci8K98QKLeZ4XWUILlrKMl3iFl0lk Ba+ynBpeC/tgJW/wOqtZFfbNm7zFGtbyNkm8w3rW8R7vhvPjAz7kfTbwUXju 2MRmNvIJH5PMVj5lC5/zGSl8yTa+YAfbSaXQ76Y3vehJPnn0IJfu5JBNN7Lo Gnv0P+5/RyyXpA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1337, 1336, 1441, 1566, 1674, 1603, 1673, 1604, 1675, 1620, 1832, 1621, 1643, 1642, 1568, 1677, 1678, 1676, 1680, 1679, 1569, 1662, 1663, 1661, 1665, 1664, 1570, 1646, 1658, 1623, 1645, 1605, 1818, 1622, 1669, 1670, 1567, 1644, 1657, 1476, 1443, 1337}], Line[CompressedData[" 1:eJwl0slTD2AYB/A3/MpafwAXO1FRyZpDBzOuHUw5NsOxVDe6ddC1RSGUfd+X QsgSyS5LtqzZy5Jd6NM4fOb7Pt/39Mw8I3PyMnOjQgh1LIiEMJ8qpkSHcIWr tHCZSyTRzEWauMB5EjnLORo5w2kSOMkpjnOCBiZzlGMcoZ46JnGIw+znIAeI Zy/72MUedjORHexkK9vZxgQ2s4UNbGIj46llPWupYR3jqGYNK1nNKsZSwQpK KaeM0SyjiHkUs4jFjKGSKpZTQgZTySOZUTEhZMl8ljDcfF3e4Bqt3GSE/ra8 wy3auEt23+7+FspCCkjhPg+4xyMekspjntDOM54yjRd08JxXvCSNN7zlNe95 x3S6+EAnn/jIDLr5wme+8ZWZ/OAn3/nNL2bxh7/0EOzxT86mn3d/oogwgDn6 GDmQaAYziHT9UDmMIcQRy1z9UjecS07k/133AgnabbQ= "]], Line[{1440, 1409, 1413, 1414, 1415, 1416, 1552, 1619, 1817, 1618, 1815, 1617, 1816, 1636, 1814, 1616, 1812, 1615, 1813, 1635, 1811, 1613, 1809, 1612, 1810, 1634, 1666, 1610, 1808, 1609, 1668, 1631, 1652, 1608, 1628, 1607, 1829, 1828, 1599, 1827, 1627, 1639, 1630, 1834, 1629, 1653, 1600, 1830, 1611, 1640, 1633, 1835, 1632, 1654, 1601, 1831, 1614, 1641, 1824, 1825, 1821, 1823, 1822, 1655, 1656, 1475, 1440}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.42499999999999993` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.42499999999999993` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVle3r5EYo0Rj74oSe8QSNViiLFtsQVRUrIkGFUussUeN2GtsIFE0 BrF3VGxYXisqKiKC9CJNeseC7XrHeJ+5z9iOMzgev+/e3HPzF+MZc83N+u29 9lpzrbnna+EwxW6MqYmJydDPTEz+91+neW+ami8LN/x0bYnhh/aequulyUGe Ax8Klza99Gy5jY/wYPNfyx0/vU8Y/6HdI8Mvd7oq/jD+MP4w/kWPPA+2G3NX /GH8Yfxh/AeVMJvwS9eH4g/jD+MP4295ofK4b+1DxB/GH8Yf9kkoEjk81ksV mVLPsei4SDV8krtFCX9f4ZTcESnT/ggSrn88s0u0T6Qw/qkbqp5IbP9Y/GH8 YdoPnFD76zs34qQ9THuY9oYuDTyP2SZKe5j2MO0b1WzazCU4SdrD2J2ftjo6 Z2Sq8Ov73zb5ITldxW63Wjx2UrAhatbOUs1GbVE2ht798ub5CXO/4T2rhrdv 2e6CMP6um82f1IoOE38Yfxh/mOcDtzqyal/xLzapiT0sE5KyooXdX2/PHrwo Vq0MaPBHw2OhYoex094seNfUDmYJwjM8D2ZaOD8Rjlp1fHKxGinKpuKWDucX PnjP3mPU2fSU3WmqtmeZW9vcr0p77i9M+xPtDRPvN8mU8cj9YTzC6IVpj37a 6+8H4w9mfKEfxs54ghkvMOMDZnygF8bOeCnfL75Y9JgDysbUo/6mOhEq+Mqa 9E/Oh6sNYYM2HXGLUZfWhcywO+uj2nScvk5dSlHz109YMGTE74YqFmmLGw3c K/y44bZ9R9xCVcH34/wMT/zU0oeZtvfmJsv1By9/beO6JkP0oR9/7k/buGsd e+8Kfq8/p8P375l1OEqY8cL45/l+smujlW/Zi8qj6q+l6nZPF73668HMBzD+ GYef3jtumiZ2/j/3k/8Po4fxhx3Gzv+Hv17rFtJ5bqjB8ujBgZZTpyrnIwGN 1/4UJJzvZ7YwqOcD4aMxy3Z3GO0rLPOnkafVedrLv9VV4XF378beMPMS5n01 a/TX+cwR3jJ+YZ6H1ayNF+vbnhKODj987uw0g/g3K0gJXdX/pvjDtL9eO37o Ht/rwm4PswdPjrgt/mnNPkn9/by/+MO0n7z8rX3rDD9hj+3LvzIxCRD/q7Fl ku3vBYk/TPuSs34/EL8yUHh2H5eGt8sGy/PleTNe9eOjW/fwB7WiH8vzY/5h voYZr561Y/sWHRcv12c88v9Zr2HWX5j1FGZ9hPXrHf3l/YSZz+BtRV85u655 KEz/Ybm+cXygl/kF/2oFSfeTshLFzvzM9WDuR8HJH8tuqhMn7wfzMf2Duf9+ jhNLD/smSa7H+8P1eP+YP2CuR3vuB3b6D3M95jcYf+ZvnxWGtIU2CdbM3zDj Deb9mzv4izmVWoarvPmXTU5Mj3gvfsg7/V3OurGJKn6LacsnR2++t37fXNTU ZkqlDJWS/Fum9bUIdWjKfA+ntBjlGLqoSeizW6poiWXNhldOVfOvLL82p2Ow demlIScyJqwWDhuYOnL6rZ3CgeEb/Ra5nBHuOOvw/h8aXxR26T86LiD9hrCv +zT/juduCe+IMEw5UdxfuN2Sbo7jJz8QnrH+3qR51YKEy1gNGN3C6ZFwj87h P3e1DFNf+FxwapcfbEjsYV9Mvbs/u8sOtXVbc1/YvulMq4VDLglzf+FbPxS9 k7/hioK5vnl+0vhS1tHCkfdaN4/tF6Nqp5VVSc/8pf3wAzu3DGwQ+p7/i/4v W6Y2iBXuvs/6mE9YrIoplz1buUfKeMA+qonpyfue8cLHnb5remhUgiqmRnao +u697B1VZYPDX5r9XrESLbzaPhGuPtTmyPo0jVvHlD6+5Wqy8LKW/S1nzHwX j7xcaNbF+aG8H5aua6wP/nZf7Qtz6Nl4o9Z+57lKzRd8nyacWXLoocFv0uR9 8DLpHHngcIra9GTNwcod7kl8Mzj5aakaNa6q0C4D8hw3pCmTPQFjd62/qGyD v44e0yFdrve5c81jPwVmCA9JHPlVhxWZym7T1uutfvKQ+KiVy7yic2smXCL+ ob3Md0aW+c7IMt8ZWeY7I+v3Azw/3keY90f/fPX7Aey8jzDru96f9xcm/io6 rV2om1OoxGPMR1EFMzvO9oiT9syfMPHZ1RC3PfNaPJB4jfn09E97jvofS5L2 +vjN5cGm5SkztOdN/PZUpa1vs8ZN+l+pU3JsmWsnhO0HucxJ2xiploYceh5a PEY9P/pZ7uGHASq5q2Onsa+08TgoLW139OODwr+WHhZXqUSosvrlbPs/70ep rFE2jUpdfxcvPV55dMX0KPV0RODvuQGRavXET5z8TwSpvabNJzYalKiq/FnD pYi3v/rTzfeNX4VkNevQSreuT06pjV+UMdvw+l1/naaVjdkSpe3HFt7uZVH2 iHLdMC8s+1iGap66eMoPpTzfixeZX58F9jCvOmeXQf+8vKrHpjQ8FSFMPMn6 JvenZmJS11qP5P54lJiZkbovUrnvbrznYmS0Wr5ha506FhdVyO7NbQb00OJH /f9j/fR6eWTzS6swsResGP9dSaWNJ7dtdsc7m0bLeus/P+/N6zOnJf4mXqhd YszN5J7pMh7rvm69N8U5WnnP9LI/+WWUrF/sz7gf7M9g4iOY8SPtjeMNthx8 ysO7fLis36dHV/Xv5xWmGmWVPdwmQNt/tfGvmXJ8a6b8f9Y/25IXUsbHhRqa 31zTwzDQ3bpCybk+1UtrPKvJ8apjngUKezbJ63DyTpAw/ed65fpYbnx18oHY Q2yTJx6N9hf+JaazU+b628IpMbdurWlzR5j1GOZ+cP3DddpOMS9xTexWdU7W XzzyinDGnW5ujRxOCMfetWvscPKUMPOdxMvG8bClzMbDdz47qb3/7vYJJSIu y/wo8bHRnp8+KmD2vmvC44v98njbW19pL/Gw0f5X/4V+Je7cEzY77ZPhujFA 2kv8a7TvHt47ofczbT6NGheYNuJdnDPAbk7z71+HyftQZXPSo8h7AcJnjx0v iGl/QzgvvkvnJ9W8hc+NPVSsZ/4h4VmrqwXvL3JGxjv90a+ftlfHPY6uFiX8 3ZPZeXPiYpSX4bD5seg77/kzHmm/sd35KQNctfn42OXfpv8wMU7tCD0cdPNB uGr7akil8iGP38Wd/f5a7hOukpKa9PeMfSzXI17H/2X5qxltamnrdVW3ZTmd 8hPUbzf77LbzDpb4fuUfFVx3jgxVZhW6LKoRFaeur8/f4pwSpJrVXzAiu1Wi Wn33m4EWJYNVwvJhA/YuSJD/x/rN9cek35pUc7+2HiyZvnZa/d+StPXTuD5j v+9zP63I19p6n27jnGX2Waq0l/2F0d7W/dHPiee0+HBQfbcpmevT1eKCKiaR Z6/IfgR/1m/a75obmeLbOUOl2U1InVd3u7ry+Tgf3xGZ6vR0zyUuCY/keU99 kvdwSaS2HudN7DTAduI9YccBvnmWw28KzzGteaOT5zV5vkWru9Qddfm28Bxr 8/brPgsQvuQbmrqjtLY+V1u/eqX7Ze18zL3nvZiadpvlfTyzpl3b2dWchIvX un2xfq9Atb6fa3Bq4yeq5MCJid+43FCnzS7Unh2Uqn7pujb/7Xd31QDbsZvS B6aoSjftHRutC1Xn7E0GO5+PU3anXCol9nmg6tx70vr6rSTZX3/3MLl5Sr+z BuIRmHgEJn6F8b9V625slcYbxB/GH8Yf/vqMwbb+y1hZL+9vXvEyotwT4Ukz +ux3/ipV+PP+lQf26pwpHLQl08nkSLZw3ZX9g8PP5gpPn32myZnr+cJXHasv 3eT/TLis/cKwSREvhEd+F9e8Z9JL4WOtuq+om/da+G2dQ5Fv375977yVeAo9 MHpg9MDogdEDowdGD4weGD0wemD0wOiB0UP8hx4YPTB6YPTA6IHRA6MHRg+M Hhg9MHpg9MDo4f1CD4weGD0wemD0wOiB0QOjB0YPjB4YPTB69OfpxNfog9EH ow9GH4w+GH0w+mD0Sbxv1AejD0YfjD4Yffp8APsD9MLohdELoxdGL4xeGL0w emH0wuiF0QujF0YvjF4YvcTL6IXRC6MXRi+MXhi9MHph9MLohdELoxdGL4xe GL0w+1mvARaParfN0vbzRkY/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPo h9E//sruis4LskU/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPo9+8 acOBn17NEf0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+M/oduh1xm F8sT/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4z+lZ81C0zulS/6 YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP3WM06UH77+qeiH0Q+j H0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPrh2JvDnvfKjJHzZ/Tp8+OyPzUy +03uD8x5D/tLzoP0+XD2g9x/Od81nv988Xlc/pDwLOHrsx2/uVsrR3hOfPIM 69G5wk37TfLy3J8nHHcxK/fL9HxhvV72C+jRn68S36GHeIj+s35yfdYTmPkV Zr6Bef9gxuNqw++72uQ/fi+fRr6K/HapXKe1xf0z1Uz3/m7eAdHv5ZvIn3He x/mm0946e4p8liDPF+Z+mC9L7XfWPFnsMPYLo06+mWyVLnYYe5OdF4PK7csS Oyz59w0WlhkncrR8h5Gx3124bPHtS3lih7FXm5Icstv3qdhh7BN+7N3M6dFz scPYz/Y+vmxYbIHYYezFO1SMsMp4JXYY+yDLuS3KFbwRO4yd8cV5Eu8TTL6X fCXnha3Dt4/3HH5Y9uMw58lTa0e0sOh4UnjdzEWTzNt6GDgfpT3Mfp7zTuww dv4/HHI0+0X5IvEy/mb9fm6vb5Uk4QoTF/Vf1DxNeMieuiY16mYJ73dZaf+s WY7w8yVphwO+zRPuNr3vJ0e7PxV2dfAasqr/c+H4flU8R48oEG7VaX6xjj+/ El7SPGZ49dlvhBs3LFe8xIK3woz/0b+P2TDrcIKcx+vPN2jfcMfAvpklE4WZ v2Gf+TVf76mbIsx8Do8elnBgePsMYeZ3uMif9odKfJUtzHwP913rXSThm1xh 5n/YfZ754Mud8oVZD+CMCYuPbuv9TJj1AbYemlh09pAXwqwX8NqevYbZjXkp zPoBR7Q5erzJtNfCrCf6+818yXzD/Mj8yfzP+gqTP+f7F9qzHyNfz/dAzHf6 7ynw5/nxfvJ8mR95fvI9j/H5Yuf5Yef5Yuf5Yef5Yuf5Yef5Yuf5Yef5Yuf5 Yef5Yuf5Yef5Yuf5Yef5Yuf5Yef5Yic+wM77Jfkg4/zG+RTPg+9XOO/Vn1/+ V79vYL7cmL6wVXmX6P/29w1v5to5L/mA7xsCvMMtfF54GuC7HRevD7yx19D7 ZJW5Px2KkfPh1I0x9apcixdeNXV/gF9YknCDPlMXLstJE46tVKOS+bIs4RbF nCa+2JAjvDg/7mrg9jxh//juVT33PxWuHXhoyhqv58KTr5X2cbxcoJ1fn5he o/PdV8IlPYJ/qRnyRpjnSf7tx+hhuU7/4XsD/fcEhX0P8LH5fn0+n/vd3qpc 5V1Hs4Rjo08GlimeLZzlsdm+Yq7GrjatKyyxyRHeW7qq64rWuVq+9Jx3//wN Gg+dvz3oxbw8YZP61s5jgzQuk1yr4sTL+cKnN10JCK36VJj4EdavJ9zvGb0j 1lpsjXovHuD+Mz/RnvkIZv6BmW9g5heY+QRm/oCZL2DmB5j5QPIlhXxvUNj3 BPrvB5gP9PEx+V3JRxrjZfnexhgvw8TLMPHy7Igds1u1fCz9/9Nj/v32Z7Tn Udj3CPr8kz7f87HfHxBf8/yJp2HiZ5h4GSY+homHYeJfmHgXJr6FiWdh4tf/ cn7e+DwlPjU+jy+WR3SZv/yU8I4BRf7wH7zN8P97/v7GHVO/0ipOxuOog76/ +thr73+RVZsaLJisvf9/jR0a2HK59v7XrrOxY76f9v5PLpfv6h+mvf+XigxJ P5Sovf8lsy90WZGjvf/DY2q7ObzR3v+D95dmdTDT1ouCS0ndqlbS1guP09Vy itV4K+y1tYT551EaF5b//th89vKfupQY+h/yx+99H2Mcf5wPMN6WN8rxCh6j sWvaQ6uIvtnSnvMDWW9cZ+b1PKjNNzZDBs2y3Zwj7TlfkPXH9EXLCxmav4lP 2KnLobnSnvMHWY+mzJ/etKXGp1v8mN/CPF/acz6BfXjE2xPuszWe8NfjVnsc nsr+hfFU8bxj3dReCfI8vl3UdX6uX6Lwya1NH+x0SBYOHVGy0cHEFOF+c54u GPxruvBs68CgkW8ytPx44xGbP7utxSurv7C98vkabfz5VLuWGhuoxS9hr49X fuKqjcdKZg06X4rR4pmG6RUnX/XQxufoF6u3bE3T4ps5EXOv/3lUG69eSRkZ M55r8Y7Pnchqc7218WsaYvdd36La+lXpfKdpA3w0trt5elvjMtp6NvrgnpvN AjTW5/cL+z5K/71WYfl+/fdl+vy//vs2l05xUxZ8Ga2Gpn7S+ufT4YV+H8D4 iFnY99n4klo+hnibeAQm3oCJN2DiDZh4AybegIk3YOINmHgDJt6AiTdg4lMY Pfr4CkYPjB4YPTB6YPTA6IHRA6MHRg+MHhg9MPsRvk8lfobZz8C05/tV2sO0 h7lfMP5874o/jD+MP4w/38fiD+MP4w/jz/e0+MP4w/jDrMfEz+wfYfaPMPtH GH/2i/jD+MP4w/gT/+IP4w/jD+PP/II/jD+MP4w/8TX+MP4w/jD+7Ifxh/GH 8YfxZz7EH8Yfxh/Gn3gffxh/GH8Yf/YD+MP4w7Rnv0B7GDv7B/YzxK+yvzF+ Ty71fUaW+j2dne8xJd9htDO+YcmfGNvjz/eZMN9fwnxfCfN9Mf2Reknj/4f5 fzDvl75+kviJeJr4iHid+IfrMT/zfuvvh35+0+vHTnv9/KW/P8xHMPMLrK9P Qh//H+Z5wJy/U0/I+SX1SNipR4P19VScP6JP749+9HE97i/nL7DU8xmfh9Tz GRk7zw87jJ38EP0hnoE5b4U5P4XJN8GcX0h+wcisb+xvscPY2e9ih7Gz/8UO Y2c/jB3Gzv5Y9qNGxs5+GTuMnf0zdhg7+2nsMHb219hh7Oy3scPY2X9jh7Ez vpgvGE8w56/UO9Ke+YT2MO2pd4Spd8Sf+Qd/mPbUO8LUO1JfyvtBPSlMvShM vSjMeqBnyRca3z/Oo2Hq63gfOL/AX77vNrbnvBrW5+PYv0q9Kt9zG9tTfwmT b8Kf81P85ftsY3vyszD5XamP5zyVem++1za2p94ZJj+CP/tn/PX1oeRLpN7V WL+MP+ez+Mt5rbE9+WRYn49m/oaZv2Hmb+qPed6s3zD1xzDrv76eVF/fLfVU RiY+g6VeysjETzDxEKyPb1gfGe97Db5Fh53KlfeF95n1gHwt95d4h/H/uJmp Y4fV2nqsX5+Jd7gfrtuX7Tnmly3rh379Jv7h/n5fokSCRflc+X+8P9xP/h/v Z/vEa8tmWWrxF9fnfc62634jaaoWb/F+8v/018dO/7E7OJk4hNYOlvjiC3OL hi+2hr23f+I8jvUdZn3X549g79/Sz5/tFinrN/tJ7OwnYfaTMPtJmP0kzH4S Zj8Js5+E2U/C7Cdh9pMw+0m9vs5Vwub2j/dS+npg3tcunR8M6LBYi7fvNtjp H31fe55vt5U8Oe5tjhqQ0dDatUKkun2y2tSRnx5RQw2bb5T7OUSZNyhIa9Pv uOGroN1fzW3ybj3Z9LDel2EHDAer7l1R85dwNbTpwPAb5+b92+uDL1b7efIS kxi1K6R1g4q7bhdaL3zscNUlP34do6YX/7nBVvf76l7rU41Hd4hRDs6Jn6T+ UXg98b6o61NHt4hR871Niw6NC1RLWqy17175XbxT78TO5JC/f70x44Px0PBF mvfWH6Ml/i2sHrmw+uOPrTcurJ64sHrgpeau52t285L56s2LDXW85/rK/PRo 3gSHwFaP3tu/fL1tgo/J1V0ST3Geqq8fDtg8I6GUWYTS1xezX+lV0qL52T5R Sl+Px3o3qqBNqRHVY9R/Vm/c5+denl++G4//Wf2xaaU6pvuztPXx312PXFj9 cWH1xfr6YX29cOfO1hXbV78q6xfr3x8b+rgMbJKt2m/7aWnXvx7IesV6F+92 Mf3ZhBzlWOHwyPkzI9SqmC8sO57zKLT+OGJ3Wku3BmcNNda+WHPqk2zVLrG2 Td2Vdw1221flL+iWo4pVffR1RPgjw48dRi29+WuuqjHKo2n9tsEyHuxHJdjN KBUiHHbt5d3BDpHKrm7XaWO/Oa7a975VqU/Gu7jT99ybuw8vq6IHvhnz1+wo 1bH4oLT7FS+8V8/8psngkdYnotXS2JSy65eHKrt2+yt/sj9a/Wiyas6Xp0JV ys8LV9zZ525o8eTA8qrDs1TtAY1mPGl13TAr6MR6s33ZamLtLfmnlgYY1l0p FTYyNkflbOz59GX3cIPj8/zbGaXzZP73Szd1Caucp/I6HXn7Vb0I6f/H1i/P b5PRb9Xg8Pf2ty9Nhm1ea7Ou0Hrlao3HF9SxilJNTQ4c7GFzTtmYxbyJevD+ fvhfVV+sr9926LljmtOzEInHeng7Od7KDFYTR+ambH190kD/WV/1vy/wqV3W H5XPHJb7adE3ZObeCnvfmz+oZ6d/XG+1x+cZTcaf19rvqrzQ0fuScMG66lvd 194UXrxuc9+i8TfUf7f+l/vB/7/0fb2D08r7yfWsbA7llLpwX/js0pp7L+Y/ FP5tadiiKRYas9+X73Vqt1jpPC5a7D03tHs01TxGeOvCHZY2X8UKz3s7v1q9 y4+FOR/gerczYqaa3I0T+5PJpksaWMULt/7RMdS0c6Jw1aiuN8ODE4Q5T+B6 Y+/tr3km7onYl/X2bRbVO0k4qH3T5eeGpAifuVByxqbMZGHOH7jep4en+k56 mSr2OpabIlzGpAlPr/60xdRpGcIDtwXW7vmZxpxXcD2777Z/u6lEltjfxVzX 91hrXPx11BTnrtna+Gjvl7iwtMacb3A991YmmyZVzBG7Z16Z6ot6aTw4rbPP 5L65wj0sW3QYVl1jzkO4Xlad0Uk9LPLEbhI/Y9pwe433h++t0Wt4vvCW6q7O Vg005vyE61mXv2Vdt8lTsds+DLnZ2kHjp75m0+uNeyacaFaQXLalxpy3cL11 ppab37Z5LvYdV9ubl5+scTfvybdNZrzQxnvBDx3TrTXmfIbrRWSvTw3rWiD2 tOPuMzLmauxyIKBWxMKXwkuTr7je6qUx5zlcz/JxbqfTfV+Jvf3OonduL9M4 fovVrDNrXgsHhtRL32WvMec/XG++/6AtG4e/EfvqDeMs9mzUuMVKt7ub/ngr XPfWqi4LHTT+0N8DuFveb+irm9FyvtRikdc3TSdFq+iJ10tH2FxX9k3S+3y/ Mloln5saEFL/hir7uMm62E9j1IoT3dpVqvPhvyfQokPStyltYuR8Kv3U5pIn GsWo22ds2oTY+qkuVndcDlnHqIZmT6MPjv/w3x+4nLpq+rIGMdr5ldkt05Xv /l+5mtt2BtYPVNe+LR7jVjpGzarlZt+g09//9wr0vydS2O+BfOjvG3zo7xf8 3X5/oLDfG/jWw9ujZKyDwexyiuPvxbLUr8HxbdbXi5Z8BOdT4xqecvfNCPm/ /nsE8ffHuh/63UXOi+T8bm1CkYyGWarMHtuLO0qHGkJn2449fSNX9aj5okLg mzDJd3E+tbRmib77HuZKvPXp1dyYLutyVbHJ66baOofI+dWWHRPq3xgSpjo+ v9r2+g1XQ9S0ua8mNvM0NFjSe95MzyzlMNhmUPSgW4YexYqX7fEsW/nVWtPJ +0igYfngtE0vmuaqX/eVPGVlftlQzvTo2dCB2SrqZEBXu5/8De2cdpVLdtHq 7TjvYX8Csz/R55s4D6I9THuY/a/+vAfmvAfmvAfmvAfmvAfmvAfmvAfmvAfm vAfmvAfmvAfmvEfff8Yn/YfpP0z/YfoP03+Y/sP0H6b/MP2H6T9M/2H6z36Y /sP0H6b/MP2H6T9M/2H6D9N/mP7D9B+m/zD9Z79O/2H6D9N/mP7D9B+m/zD9 h+k/TP9h+g/Tf5j+c55A/2H6D9N/mP7D9B+m/zD9h+k/TP9h+g/Tf/3vL+vz /5wXYNfn/5n/aA/THmb/zPfE+MP4w/jD+PN9OP4w/jD+MPtPfX5Vfj/ZuF+C 2e/A7Fdg9htyfmXcL8DE+zDxOky8DRMvw8S7MPEqzPOT33c26mH/ChNfwsR/ MPEaLL8HbbwfMPcD5n7A3A853zDeD5j7AXM/YO4HzP2AuR8w9wPmfui/v+C8 kvEBc/7B+SXjCWb95ntTxp++/pX1E9bnk/XrJc+L+QJmvoCZL2DmC5j5Ama+ gJkvYOYLmPkCZr6AmS/044v1Bmb+hpkPYeYX9PJ80AujF0YvjF4YvTB6YfTC 6IXRC6NX/3vnnH8znpgfGT/Mh4wX5jvyf+T3yMeRzyN/RzxIPMzvMRN/4k++ kHwk+UHyjcSfJrPW1nUZpI1XmPNEzhfRJ99rG/8f/ZPf7yb/aXyexEv0l/NF zsOYX4kXYb7/ob4WJl/LeR7tYamvNV4flvy2UQ/13DD1tTD1iTD1tjD1iTD1 tzD1iTD1uDD1iTD1uTD1iTD1ujD1iTD1uzD1iTD1vDD1iTD1vTD1iTD1vjD1 iTD1vzD1iTD3n98Dh/m9ePm9cOP44v1hfmX8yff/xvaMZ5j3A3/mX/ylHsDY nvEOD7O07XrvRZ74Uw+Av9QH8L1LbOnRxbZrXGbrgyXKWqsPIJ5AL+strP/9 b6m3MrL8novxfWW+YP5AL+2lHsvIxEPy+/zG7xn09aD/5Ps/Lt//sfn9wupd PzT/r8/PF5Z/Lyy//j+t3vZj61v1+e3C6l31+e9/df0r7zPvqz5/Vli+XZ9f 1+fT9flzfb5cnx/X19/+3etr9d8v6OvZCsuX6+tlC8uff2g9rT7f/qH59MLy pf+ufDv1fv/q/Lm+PrCwfLi+vrDQ/LeuPvz/tXrhD60HLiwf/6/On/+TD/8n H/5PPvyffLg834/Mb39ovvpD88/67zUL+37sf9rvC7BeyO/9/c3q8QvLFxf2 eyT/1O9/XP3+/+l8t/77TP3vTRSWD5ffCzo0zHtp/nRDYfnx/wUCln77 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNV2dw10UQ3SPUBJJISAJJKCGRXiX0EjoJHUITISA20AgRsGJBsWJESAyE D45l7L2XsfexfNNxRh117BVRxzb293yPkQ9vdu9+e3e7b/f2/v/SdZsWb2wV EX1TRAbkOmA80AdoBFqAYuB4YALtgJOAiUB/4FSgDmgPZAMdgExgA7AeaA20 BbB98Jwsj9sZnMvwmjb+dhpQD3QE9gLNwCogz2fkAKcDW4FcYBIwAOgMDAO6 ASUed/KaoUC+v1UCA73fPsdZCwwBBgNdgO62LQKuAhrMwwjv3RPYDVwN9DJK vO5cYBvQA6iwbW9gpGW5Oe7r+McCY4AyYCkw2jb9nIdk7vubq2Se2nh9u8PG mc5BW3Od6fxk2W69ZYbtss1RvXnN8pjcHeHveR5n2ibb3Od5vMpc5TtXteZt f6h+Gv29uzlqsE6bXeb3KOB8YJk5SI69lTnubR5LzHVPc1bub9s8z333ODej vL6v453nHHfxmHyyPpcD1cBkxznAsU8L1RPPPAE41jnh+sGOnxjodVNCddbN ewzyPtcATcBCYDYwFRhuybhZVzvtL2OYHqozxjgjVEOMcWaohhhzVahOjjRP 4x1rmXmh/RxglsfzQ3VWZj4mHMbBRPPAOCY5lqHmI98cTHFcLfa72BxUmoMR 5qvEPs6wD6Ptd7n9mGW9wnEyxgWOh7GsCd3JWp9fbR/GOh7uscO5ZB54/1mL OY5jrmOpAZaY5yqfMQ5Y62/MxWLLQuAYz3d1vmq89nLbFTqWpfaTfWk1UOA9 V3gt5dHWGetKx7vSa8stl3mfs7xPvuUq62vMQYF553yRUWv+z7ZdgflYFKrv GvtEHy4ATjYnrF3WcB/PbfA8a+e4UF1sDvVf9l7WyImhGjnUO9p7DXXWD/v/ Jttzv1NsU+99mJ8629Fmo/X25mqtc5Blu47+Vuczt3sN5/Y53kLb1XtdjvVc n7nFOuczbdPkvDKnrBe+H6yfM6zT/iKPcz13pm3YW9jTS4HzrLO38x6cE7rD FzuXzN1Or6H9pc5Tgddwnj2K9cB+x1q4xHYF5m+74yWvFzrWLfaPvl0Wqkvy MNc5Zk5We68C+77D/q/xGtpX29d8+0JfewFXWi+15HiUY2N/LjbYu4scQ4Nj arBND8td1rl+d/z/PrKPH3oLqZdZ7rZOucc6a7zRZzZZp//7PWYea5xT1g/v R7N9W2ibQu/TbE7Iz17bsjfM9j7ce5/tm21De/a1reaQedjsXLD2NzhHj5Oj pB5J+VhIXwR9cRLvfwF/h+p9OeY+CfWGftCvDb0TnwGfOz8/AQ+E7vIQ2DwU 6sdtoN8X6tMLoC9MyndryHtDb04W9NdDve5V4PdQrxmN+SdCfZp12+LYfwF+ DfWOOUl7cZ9ngElJffpNYG7S27AU8ibIK4B5ST7Rn3GQE5PuxgTImqRaGg/5 VOje0K+qJN9eAqYn9dTZSX5z/kn7Sj+fA6YkvSd3AuVJ9+Du0O9V1vjtQGnS XWlyfTCfb3jfcT7zNXPyDvBPqEd/CXwUqtOvgXtCfZR+vRjybQX0l0PvD315 NuRP/yRe/vvtCf2t0Fs4FPrbobfrR+CH0NvzvM/jWd8A34f685IkTsnnAeC6 EG/fAS+E3u0O+J6ZdBe57luvbYu5+0Pv8M3AV6F+cCvQI6mXMIdPh/I4A/rH ofd4KvQPQ+/0F8CNoftQjflPQ2/mGOjvhd71EdDfDf0OqIT+Qej9PgjcEHrL uG5m0toW54I19op5JIfcY1jSPty7Imn/gUnxMJbOkHlJbxLPGZt01kjIUUk9 tytkt6T3KRcyJ+m/SyfI7OR3DvKuUE/nfRqUdKf44/Kgfeb9SEl3ZDDkg6E+ Phz6I6HeXQy9KOl/D/PwfigXD4fuJ+9md8hbQu9qPvQuSf+ZWAs/ux54Jw44 v78Bj4Z+WzAPk5NycX2oR7A/MFfTkvLF+pqfVGMZkK2SfrP8CfwR+g1bhrk7 Qn2qF/TbQm/nvx5MFj8= "]], Polygon[CompressedData[" 1:eJwtlGdsSFEUx+8tCRJ71iq1atYsOmjt0UERM4JaQVQQM6XTikTiK2LvLfbe M3YiSEiIIEYkNjF//5z74ffOuefe9949Mzpr2oDsCOfcaCgOm2A99IJUaOWd O4xsCV3gCSRiW4CM0jn068jBsBDasT6u96Ab7Icm2Dojm8EBaMo6GdkCPsMf GAr94TQksJ/j7B8bYS10hb5Qib0KEIM+Fp7BB8iA+rAKKnrbS4RbsAXSoBPs g8bsN9c94IHuwXousgjqoO9AToOpUJn1amQSjIP78BbSoRDuQSPOzEYWQA30 NeFfE+Gu7oVtBjIf7kBd1tnIPLgNtVlPRuZCLfRtyCkwCdYpttiWI6OhnDcf 5VsWXISrEB9icCXkMDXY3kMx3hmBjIRDyiXrlJDToyEHiv0A+AUvoQ8MgYac 3YOcA7PgIbTGNg+5GKqjV4Mm6BOcxSrSm66Y1UPfhZwJ0+ER/Aj/WgpHoCRn Rjn75j94F+46DFLYO6u6gh56z9s39O4SiPIW07wQszchprkh59ec1ahqczg0 8JazgnCnG/IVW29kgrNai2M931nN7Q4xkO/K8c7gk3xRTjfAJ+inc/ARboZv ydaes6WgjbNvRnurifxQY5fkF7aeyA7y2VuPqbdWOKulQdiWhZoa7q3mVesr 4QwkY+seYhTjrUYLQ85eOavxopDTk9DRW2+2hXPy01ts4/QP9CRvtZYTcpPp LdbKUQn0frAIfSQ8DXfWXeXjdmc9pN5RjW921oO6u3xQLV9QXJzV9Hf4ArGQ CV/hd6i9FPgJJxQDGAh74Vs4qx70Xg+LvWZQT/TLIZbKaTzrU8FXxagb6/PB V8X8eYjpynCng8FH+aaZsNVZT6oX1aN/4bGz2tTMqspeGRiDPh6O6V/eZqVm oHqjprdZoB7R7KribZZohqWhp3qbRZqRL5zVrGpVMziDvXRvs1MzM8JbTBQL 9XRp1uW9zYJGUNabTbru1Fzvepu1sSGWr53NUsW0v7eeVi8rp/8B9rakKQ== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXW81lUSh3nPTwlBbFFEFGPVddfublRsbGRtWUXFQgxQbEQUaUEvoaiA XYjJ2qBYYGGuXSAq5q6rO4/zvJ97/5g7J+bMfOfEzPze2+mYXgecWpo1a8af KvgOwa8I2jToH0FH1Jo1OypoZLRHBHUO6hZ0OPMxvlrwY4OfFnRttAcH7Rh0 VFD3GDs6aHi0hwXtGjQ0aEjQzkEXxdyZQWcFXRf9UUF7BN0QdH3Q3kETg24K OijoxqAJQV2DDilpsx9rg64MGhjUP+gM9Y4JmdFBXYIuEOPpQRfKkRsbcw1B +wZdLJbeQUOCLgm6NOiyoD5B5wRtHnLrBs2O9hVB5wadFzRAfn7QGjHfV0yX uw65q8R7gVj72r9Em2dr72ztDa7lHoHrWjmy1+gnc0ObYBwmx+ZwORiv1mfW rFkS16igEc6DfXyMjwvaP2hG9B8MmhY0Wqxgv0Fd2L9JG+gYK1YwjpOzf+Pl YGxwHXI3ipX1E5ynf7drGFsrcIwMfnPQreLlnG8Lul4sUzhj+7c71uAYeAcF 3SUm9N5SS53oukNZsN8pR+4e7YPxXjm+/kt8zD8iDmxOVe+t7hl8knsHnxz0 kBy8A0r6dL+4B7mnDzuP3gf0G70DOa+gtYMe1SbYnxALGB9zDD+m6zNYnxMf uNaJ9fcFfyroGe1j5+lajtN/XB2sf9Z51s/UH/zoFHqWDFoqaJGghTH2Q9As 9wWML+gPfd7Kk7V8Ly86D96X5NicU0sZsL2iD+z3y87Tf9Ux/H5NWbC/E/S8 Nt/QN7DPreU9Bvtb7gX9tx17XtwfB30S9Lr6WP+u+vDpPTnY35eD/QM5GP8t B/vfjA0fBX2p7bnamCP2T+XY/Ez+hlhmK/dF0Juu/9x5+h9qh/34St34NM+9 APvXjtGf7xh+fCN/X13Pui8LHMOn7/QHO986Rn+hPoHx7yXb39fyjvMuR7un D3n2P+sb2H/VH/bjF8fo/yEm7P/HeXz6rxw/mpWcB8v/9BOffnOe/u+OoatW UhY/WpbEgc2qJF78aB7tH4P/FLRoyXtAv0XJsZ+d+1Qf1nNtCd6qpD58Wqwk B3vrkhzsbUpyMC5ekoN9iZJY8Xv5krab+5bwE+zrl7SzdNAytivf3B/ux3K+ PdYv6zz9tiXtYKOduvFpxZJ7AfYVHKPf3jH8WEne2r35RP87OIZPHUv6g52V HaO/aknfwLiK8/S3Dfqr73+yd4TYTMwjB5KTVi9ZQ/SqZf4nV5MLdzS/U1sM tl4gZw+xjiB31+MIb3KEtQP5m1qDOoUaoJ5TyZujrSkYG2cdQV6u1wT1GgFO XsZGf+eI0eQXYnZv9ZGPr7d2IF9j7yLXnOU8/QnWL9QHyF0mJnIv+ZM8WK8h rqg15vvB4iCXDRTXIPt1TPT7On+l9lhXrxGuUY4a5HJtn6udep/cO7TWWDcM Ex9j5O+/lKwbRmqD9z5Km6PtX6LstWK6vtaYh8cod6h1W19xNbinDdYd5yjH XZkkDvLvBHHdZL9eW4wTBzn3FvFOcI78Sf66X3yTlGOMuPeMa6Y6NtI+6+o1 wR3auMs+PpGfp2iH/EueJT8PML+OcX5yrbGGuEdMd6urXitMlZ4T0/3ielpZ 8t10bZJLiavk/0ftg+8x++B73H695phWa6zJxmp7unJT1PeQ+J7QHu91Hd8s c8T0meKdIdZpjs3QNu9vVq2x7kF2sDYbtPOCuu7Tv6f0YZZzxJgOxiHwkU95 28SztsYZ8JH3XtE2ue8tdZFP56j7dfvs5Rv2n3R+tj6wrp4D31Sunpvr9cBn 9sFHDn2n1lgTvKs/jL1da6wJ3q811gQfiPVD+zOVnSsW7NRzPvwjcXyu7Xn6 /5s4yEk/qpcct0B95MGvxDLPPvjm26/n/vn6TZ4l//INx/dZd3EvUG6u+r50 b74QEz58p23w1fMkuMmr3+sTGH+oNdZM77n+F9egl1xZrwt+de5j1y2sNdYB yPEdemTwbvrwu/sC3mbmRWxX5kvw1cyp6G1lvkPvIuZL7Cxq3qzn8lbm/xal sUZobp4Fd0tzZz3fL6a9ZczX9XzfRkxLlsacv4R5sZn5nrnp3o+Xa411Q2vx LaveRcz3y4pjefvgame/hXm9nT60N+dvF7Sh+bWNObuDb6mj/bbm7I5N6oD2 4uvUJLevqlxLdWPvZnWTM7cPvrF5As43MLmCuMoYcXqbkrlkpPfsD8/yqpLf e8Refn/Y1BgEX9u4yu8J/A7B7xG8ZeZ59+QPYuJt3vvf3MvFq8AddHQTXejZ qmQ9V7S5iXg2KFl7La1P7Bu1B98vmxkPLw/eq4l/G5XMZXWf8Zf6n98IeNOr ewaraXPLkveU+nmLku8GO1trC/tbiQ1c24gN+9uKgf3b3n3+Z9Be8Bi/MPhJ UC1j+A76zdlQS1Hj7FKyjjqulr/V7GT7+OC7BR1fSzlkqH2OK7kGmWOVByey uyo/VBnazO+ozHB1nlBLjF3Eye9Iuwf1iPYJtpGBd7a9Z8laDhnqKNrUXNRX yNR/L9pTnT1sIw9usNV//8H2idE+smQc4Q7x+9I+7tWJtpGh/qAOoT7ar2Rd hww1G23mewY/IKhnLX872s/2SbaRZ35/x8crf3K0Twl+cNAptbRB/Undx9hB jvMb14G2mWOc35TAuLc4me+qzonqPDXat5R8k9RY1LjIg507ylg/ZajDqLeP KZkDjqnlb3m0u9fjbcmYy1g3ZY6wjSx3/zDv/xGuIT4z3135w7SFTHffMLLn e3c5u9NL3q1jtQUmchLv9ijbZ5a8i9zD3iXv6/HqO9ozPbfkPeAO9Cl5t7hL /UqeMfvGHeri3lxU8ix7+i7OUuefe+l+XlbyzDiLM4o4avnWiQNruK63a/H7 NH3nLVzre+B9n97k7ZwtNs70Au/MOUUfajnfR5nzivvluzjPNve6r37B+9lG 34Xq7F/00zfNt9MZYjtDX3h352j30qLP0b44+CXeMe7bpY4Te4iDG+sb32bE jMH6i07iLPUw9ew1JeM7fd5Hf/EwTt080fdysbaQHVQyNtO+RplB9ieqmzb5 4kplBqhvoDI7iw08azsHLr7XbnB/2I+hnh3vbII+sifEKWINsYTvyTO9J8ij e4QyPYxJwzwvYhXfsb096+FNdAxXprPrz/I+jvJMea/g6+NZE+Pq+q5rIjPa s+5im/sMH+P4XraZ31edJxkXh+jvHmLo4T1kT/ZWnu+xeizkO7keD8c6zz7d 6F51VYazg4+33aB8T2VYc55njQy6D1QP8/zGTyzj3d0XvEWV7+lgxzkf8ijx rZfYGtR/srpO9hzRRcxE9hblD3Et+fBQxxn78467lpxM/iYv893C9xW1xacx dkSVOfmLoO5V5uSDgt9RMiffE/SMd+/j4N2qjJH7Bt+vyvdD/if3UwMcFmOH B10d/ZlgqTJvM3Z/yfFng54u+RaWqrKmId7ND9qiylphXtCmVer+OmijKv34 Kmj9KmuRp8QKzrWCP1kydh0Y7dtK1il7R3ufKt/hwqApJeNYlxjbq8p3y9jy VY5vXqVt7O4Y7Z2qjFuvBW1dZT21c/Bdqowvuwbfrcr4tUmVWLdwL78suZ+d o717lfFswyp9AP96Ve47Mne61+zzHjG+Z5Ux75ugBSVj7bYxtl2VMe4J/cTH 7YPvUGXM/qnkuXKmtwfd7T3Zqsr9ZW/XrvIsOcctoz27ZI02xz7tzYK/UrK+ ezlo4yrP+FttY7dNjLWsMqe+GLRBlffsBe5DlTXm6sHXqDL3HBC8a5X/h3tV G+ifEbRulfEM/lzJNnftE3FyTz/Tr3W4U1XmqjWr9BMfWfe5a1eL8ekl81zF HanyfbQLvkyV+XjV4I+VzJedov24b6ZttCeVzL/4/ZL3e5VoP1qyJuoY7UdK 5uCVo/1wydzfIdoPlczZK0V7Wsmc3T7aD5bM8StGe2rJ3L9CtB8oWStMDlqy ytqgefB7S9Ymy1Y5xzi4WleJjT1+vuQ+s/ezSu5/q2gvXWWd83r0t6kyf/MW 7yr5HtmD5dwHznAxz/H/TnLLpg== "]], Polygon[CompressedData[" 1:eJwtlFdPVkEQhs93BjWWWBJ7R1QQFZVYUGkiIiI2NASiiGBvgL13hcTovzDx wlhi7xpb7DX2bozGG3vvz2Tm4snM7O7Zs7vzzkSXlueVhUEQFEEUJEkQ3GAg AfpBF+Lz2DjoBf2Jb2G7QXc4AD8hCybrGuavYbtCX7gDTRmbiJ0DW6E68Tjs +EgQPMO2JZ6JXQOPoRXxNOwyeA7RxLOw6+AJtCaejl0Bj6Al8VTsEvgMd6EH pMJDaMH8FOwieADNxc66AJ5CG+IZ2FXwAtoRz8ZugDfwEVKgNxyC35AT2j/P QgHrN2G3cJ+X2CjiQmyivhP+JWxn6ON7XYB43/MevNV39TO/gg+QDD1hJ3yD dP9mF7yHGCjnf4nsf0XzBEmwzd8g1decga++Vyxshy+QBh3hIPyC7NDeaD/8 gEyYBIfhD+SGlpMa/O82tgKKoBrxHvfHwk3VjZh2VCOjxTSk2qnyu+SJ+el+ llHElX6mfPwd/pYbsSPFcqK5WA+NiZtAKX5pxHJdSLzZ309zcc7vqjnZ62+s c7omwvwIsb3GQC38mlDMXsXEtfHriPkTGDuFjRPLZXvYB98hIzRNxzMXKzZX DiF+DGhR5es3+CexZREbuwgJYlpSTVxXXYjVitZcPfy6Yv8uIW6E3xBKInbn +vgNxOZ07KrmViz3WnOX9a5iWlNNDBerIa2dtaHV6gDGFoZWs+liNaG1MF81 QdxBTFsFnptOYnerdC0MJl7umlCtnnYtqWZV+yL2rdbAbteIakNr/rXnWHOr PeUI/NVzhlbTWWI9QGt/KRyFf6qD0Gr0uOdQc6c94RgExHmh9RDdawjxSt8z W6xnaK/QM+eI1bzWuq7JEOsR2hv0TZKJP7m2KjzXKYzN9ZxrbaSJvZXWSCr+ fey80NaccA1o7rWHvAutB2rv0xrPFOtZ2qsW+9mHieVG76C1OFBsTmsyV6xH am9cHVrvGST2Njn+NkPF5vSN9CzNxGpXz/QfUWOqog== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGm4llMU/erdx5CiFKVBJUMkSRlDIjI8psxTs2i6ScUVaS43kauBJLqI ZqQByZwyVSpDkjEpFaEUUtZqre95/FjP3u959znfOWevs/Z5v9rturcsKJ3L 5ZaUyuUy2Csil/sNKMDDJqA9cBvwM9AO6A68BZyNmCmwJ8O+CNsKWAu0BroC vwAdgB7AOqAN0A3YAtwM3A58AywEXgJ2AJ2AO4CtwC1AL+BP4FagN/A30Bm4 E1gGvA4UAd8Bi4DZwHqgbab5/wDMA+YCc4BC4G7gVaAfMAhYAXwAvAy84vd8 19/+PcAA277GXUAfYIjj+H6+xxsGLAUWAPe5X6H75LBXu2EHAm8CbwDDHce+ g4FATAYMhb8EeM1jFvk9f/NfYCdwL9ACsecBq7zPXZ2DccBoYAzQDO/LAmvc NhJ4yO9oi4HyeH8A8DD8SrAVgbHwHwVGud/jwCNumwRMBEqAKoitDDzmtvGO rY62asAT8CcDTwPPGE86doLH43xrIbYm8FQmbj3j32EOlwOznF/yiHyaDjzn scnHJuZkc9gzQ+/JT/KySyYOF5gf5Da5TE6Tq+Q4uU6OkYPkInnYE+iYibfk Mjl9AcY8H1gN//dMXCanD0dbHeDZTHwmZ8ldcphcJqfJ99nmBDk719yY5/WR V/2c60F+19c8etk+Y8jN/o7Nc7S/McT9d7qdfXa7fYDzP9p5HWxukYPkXZHj zvP6yI8m3kvu8/nmUbHnx37D/scnjksejXHMKOeXvCGnxjnuEXNkvN9P8DN5 NMF8GG+OPOl3JX4e7ffsR36VuP9E8yXPL1pyjpya5P6rvP77/W6yOVTH3Jnk Z653mseY4rhC7zX3/pwQ56iF54Y497bzNdc5OgltJwLvwP8EWOwcv5dJ8wqN 2f/rN899FzvffZw/+jzv1Is3nLOPM+kO9//DTPpFPryfSe84z48y6R1zxTMx 0+ti/9edP2KBxynxXnM/T/X6uP6mXsdMz32h5z7H68mvY5HXMstr4PxXZtLZ xZ7j+54b68a7mWoH1/eB1zjf8x7kuX/odb3mNXOep3u/p3vuS9zOvVnm9X3u fZ/ltS71Wps4dzM8pxX+/f3Q9insg5l09UvYEX7/hedH7pe1TlKTPvP4jCW3 yKuvMp0d9h3p9ocMthd7/771nlFP2OcB4Gv/Bv19Q8/0qVG/ZtKpZm7nPPdx 3xHe++8z8Yg1YK339kf7rA3UzXV+/5P9brY/OYb6uN6xG+wX2G5w/FqPS12l hv7sfrQbHb/Rz9RZausmxxZ7jdzDzW7nujp4ne29Vvo9/H6zxykTyhPXTs3d 4n60vzmeHKL28dz8kUmje9rymXq9LZO+97Ld5pi8XlOrWQv+yVQPtru9t+12 92Wd2OF+Hf0bN7vtL8d39lidPB79O/0bW92vfijfzPUAz5/3hLpoS74PsO7v cjux27FD7A+1zTm+VMhn7FGh54F+X9oxBHWfYxTZH24b9pN9xu7tc0Ges20v x9QLcXGE87DF+7zT8+bvNnVdfh5+Od9JmMeqsCf4ntAAtoLPF9/vb59gXSF3 xtgfa1vePu2B9iu4nf34XNE1ibpW2b/Ftkq+txxkn7G0B7uddYF1fWqm58qu YePcP99WxWMeYp/tDUPP9Pmummtbif2nbKvbr2GfsdyPGvbZdqhjOHZVt/O5 pusfbS3fPSb5mX5ttzP2+NA6ucZGoXdsf9brZL9TfYfhetnvMI9zhPeBfuPQ M322Hen4XeYZc01+1TVnyJGjzRNy5xjzhLaefWrYseY/bX371OPjzBNyoYFz yjwf77UwVw29z6y3rLsvZNqzRl4j19HYc37Hcaxlp4TuiF18dnkWqQPUN7a3 Mm/PCvXj3nCPWBNPsz/V+8bnfL1kjeGdgXWK/gy38Zk16wz7MxzD53w94xmZ ZtvU8zzL/vPej3LeE56RZvZZ61hrWdNYH9i+xuvgOl90exnH8+6X/9bJUi53 dUg/r4Z/TVIevgJuDdX5k9B2clL/V4D+oe+Y+mjrEarbV8K/Kim3y4D2/t1i 2HdD9XI97NpQ/dgMuyFUe1bAdgzdL36H/SVUb47CeN1Cd4Fa8DuH7hGspbyP FptXrNmstby7tjCv1jiGXLqR5yhJe8k31t09d1zYDp7nYtgxoVp/BGLrJOlX O9hWSdzieBd4zO2wf4Rq3U7YHaFaVYr9QnWsH3OXtFdnwi4N3VMuhl/kc3h7 aB+5h5fB3u8zVg9+95B2N4TfM6THnONcz7Mx1xTS30bw7wjpdEFo77hvD3Pv Q3e10bBfh+5hzfB+QEgvD4JfIam2VYU9OKmG1YStllS79oPdO6mO7gVbOknv y8OWTaqjvFudY25fiLZhIS0jv5ub/83RPiikR28DvUP3uxZoHxLSzdPg322u s9+55v9q55j5/QT2wtA98gG+9xmcRR6F7mgjmVufX3K2n3n7IOwLnhfft02K mQO/ZdI9guNN8ZiMneb4qZyv5/MqbGvrQO2k/eXeXsNcJdXBNaEccP8vZf5D mtMSdlPoTnU5z0HoDnYl7J+hO8/1sJWS7hJXwf8ndF+6FrZMkl5dB/+ApDvJ Ddy/pHsLz3Qu6VzzNy/y787gXLznXEdbr2UE7OVJmn4P0CRJd5cAfUP36OGw lyRp6sdAn9AdfCjPRlJ9GgicnaTTXYEjk+rDbfCPTaoPPAf3+iwMZn6TtLwX cEJS3VjEvQ/Vgfs4/yRdrws7NvRtsIDzCmn+fNg25t502HYhXRwPe0VSHZoH PBb6ljgObY+GvjfOgF8S+n7I6wjv7JND43LMUxDzROh743T4E0PfFSfCLwzd 4XhmeP/j/pNHh5tLXUL6Re3i2ari80UtXBfSwx9gvw/9d1UuKcfMb+UkHpAD P4Y4xDy+SV57fzivmZ4b13R00rqqJ3GC8+EZ3d/nlGu9IWm91yflmPm9Nimv zOm3sN+Fviuo0xtDWv1riLvk7ULYUaHvLer38pCGU1NZA6irn8KuDP3n9wXs qtD3zy0h3Wf8TTw3oW+t1bBfhv7b6xSqQ6xB1KeK1qgDk3hPzjOfDZJyujX0 Pya/QajN28LfIqEztuf/SdgtofpCbathfWM+r0vKKetvc5+Lv0JnkueRGv93 SOephftaD3eFzifPJmtFG9eLG5M0gvrQOomv5Crrw+5QjdgnSS+oFTx/N/kM kuOHJfGcWhvW2/8A6Gfx4w== "]], Polygon[CompressedData[" 1:eJwtlnmwl1MYx386z4mKkFCNoiQit9siiYgrW6Sxb6luslX3llTWZixZyjr+ MAZjxi57i2QtpbTYkkpoM9nSZEuTiM93vuePz32+zznn977POed5nve2ra0/ q65BpVKZCAGr+HMGLEiVyjo4Llcqx8L76NnwCHNd8DP2EMjohvAbc9fA9YzN hi/RTbCPQXfmd8EeBv/BDhjF/GYI5hKMTn7G48wdgd8Ie7gCQu+UvVZrbmTs KPxdsbvBU3Ai/t7YangSjsffE9sZnoHT8Ftju0JjdBP4g2eNgacZOxm/pfYF jRRr9l605jnGBuAfpH3Aszof/LbYbvAE9MqOpQq2wJ9Qx283wl/orWFdD+31 LPgXPQEGMzcMvzf2ZfzW6P1gHHo79Gd8KixFz4S70aczf0A4hjvhVP0mvMft 8A9sSj7jNsztn/2s8TCAuenwBXoZNFXs2WexBSYzdyZ++/CeH9a96Q6wB8MQ uBy/D/ZV1rdEt4JtyTG/wfiM8N4WwXXoJbA6+U7Hwkz4GP8deBM9K5xbk6C5 7hK2osdCC/S+2VrvWKb9w4foNbA7c3tkx34t/M3ctvBZ6wwuZu4ieA/9GQxi 7jL8Xtgp+P2wQ/F7YofjX61zxV+IngW34PfRO8I5dRvU4DcP59wwxQIrWDsV JqJPYr5FOKf2QjfLjk17Gs/YYvgmuSY6MleHfQt/iWoA/Tv8lJxDOuv78ecm n7nefTt2n3AM2su92DnJe1Kst2KbhWNWbt2H/SA5xxTbHdhW4RhHqo4ZW5wc Q9/smuhS3jFXvw3flWp6Efoc1hyKXYXfKbsnqBc0gCvwny+5XIN9CF6Cz5PP 6OzsO9ddd8QenV2zqtWmqlH8R8NzDUtu34VtE85x5f4kbLtwDZySXeNdy56q ddbltwGD8QfBa7yvB37/7JruXp5xMxzD2KfJOdIhO+eV6zuSc7cHY41LDqv3 3FRiVQ86N7vHqbfpTPpl94huJebRUJV9t2/DlegppXb6YgfiX5Kdix30DPSo cpaVUov3hOdUk0Pwa7P3opyYgO2dndvq0crlBxh7PTmnx4XvTHe1c8m981jT qeTgCuzX4V4/XfGhv4X56BlQG+4Z6hW6w43on2EE+gf4Bb0prEfCr+jNYa0c vgHdk/d9gn4X5uMvCOeScmpeqSHVznKYhn4wrNXzvgrHqNjWQmf15vBZqoe0 wx8erlXlsHrDyvBa9YiF6I/CvWhlcu8bGNbqgUOVmzAv+cxWo68K71094IWS 0zWlxpbLh2nJZ3QgcyNKrqinv6LcL/WiPV+qXMg++8n4F6IvyD4L5dwJ2d+w 6lKza+A7oV4Kc8LfmKpyZudnfyP1bdQdjik5r1zXN/l72BDuZRt0R+gfw1p3 9mI4B5V76gn1JeeUa+rxS/WecG/VHvW/wFpYn/w/wfrwN0nfIsW4rsSsWLXm yOz/AfTtV838D0xzDZs= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHf4jmUU/sR7HkUyol20d6EoJSEq7T2udldTRvpVEpHNT36RrIyGklAa ShNFJDLTECkZGRUZDan77r6/6/v9cV/nfM/7jPOcc59z3u+tdVuby1vvlsvl JpTJ5cpCNohc7gzg3SyXKwYeAzoDB2JsNeSHwP7Qf4L8AHgPuAe4D3gG49el XG4X9JrQ10JOBY6FvhFyBnA09A2QnwD9vHcX4GCMr4H8CDgU+jrIacDh0H+G nA4cCX095MfA3tDvhWwFVIFeGWgJfV/IVZDvA8dD3wQ5E+gOPAy0B7oBD/k3 z28HPOC73u/fXTxWBPTwukeAJ/zscaAv0MnrPgM6Ar2BE3HuLMhPgdlAWz/r ZJ1n9PR+HYBelo8CfUrN7Qo8aFv7+0yOjQGGAEOBOT5zEDAKGAAMBEo8t5vH uvseT3qMv5/22j7er69jPsLrOXewn/f1ecWO2zBL+mO4JW18xrLEdvTwXZ+y 5F1Hem/aNdrz+Pxz3+NZ4CWfwb2f8zjtfd6Sdr1gSdvHei7Pf9G2cv0434dn /g7M837DvYbnvOx1nPeK59KX4y1p4xZgrm3bCnxhWxiTIsdpGzDfdm0HFjhW FcCHbyAnZOIU+UPe/Qksth1/A1/a3r+AJbZrGTARmAQsB14D3syUo8zVydDr QtYBXoX+ludwfn2M1QNeh/4O8IbXTrHk3J3AUt/7a+Ar35v5xZxmbjO3mGfM N+Yi84+cZD1gvjJfWA9YG8ht5vFU35V5PN3+Ye4y75l3fwCL7H/WA9aG9l7P fCL/f8yUx20y5TTrDfOHtYQ5zfxhfjPPOvgZ13W0TZ29V5Hj1MV2k//MjTxf h9u+rp7HPcj3Pra1u9fQvh7+zbN7+jfPKPaafD739HnMi35eQ76T9zuAhZl4 2tnPi312f6+hLSX+3c3rSnzeQO9F28mRsb4z7e1tMEcGeR35PCIr5G0+jymH ZIUcHuYzRnhvnjHK6/M5PNAY7WdDfY8xPn+wz+7rvQfbDubcs1khb5/38zH+ zbNf8l7sG9McN9oyzvf8DkihnFiRKR/I6ZMxtjlTfubzlnyujfGKofz7NlMO MpeYH+T+m17P3Hg7E3/IMXKQecM5k7JCznAec26K16/M1P+YJ5VCXG1rO5f5 HOblJJ/LfZkj7QzmDnOEnCGHWf/JT+YXeUdOTs8KvYq5k+9DM0utm+W19PE8 +3mvkE3sP79l6hODfN5U+7bIfuY5v2SaSx6dFPrNnvarJTlFH3/u/WnHDNvC WH7h83m/1b4fY7vA8WUMv3QcGeOFfk7uLnbsiUV+Xh425EIxZiyXeo8IvV/k Y0nJurebYzzRHPm3VAyWOY7nYLys96UdS3w+x77zXPJhuWM+x/fv7Vitsf8Y 8+8z1cZqWPsDZOtM8V+VFXj0k2O+e+g+K+yL+fYZ47DWcTgbz8vZ74zJOseF XFhfKv4bSvl+YykubDIfyJefzZnPHNeOjttv5sCZfsebbH/vsM/5/lTZ71Xk 0RbHmvZuLRXn3x1rxu0Px42x/Ssr9Kx/HQv6+E/7mTH823Fkn9np2JbBmf9k 6o+M5y7r5M42+4x82W7OMD6M4Wuey/X5tRXcB7lf5nH6oJxz4VtziHMZj/Lm 2J6uE5xfw++Trb1fRe/JfGJetfH9yLmJtqWs7Wkc2muC+VDJ82dbJzcaeZ/Z 9ncVn1XVOuPQBPIUn8s+uI/rC59X83zGiX2aPKwe0lt5rLr7NzlyXIgjPKuG 55Cn+4V4Sn4dFeIXOXtAKI/J90OiwNNaUeDmYVHg2hEhnjLvDwrlykjHdpw5 e0yIs6zRm80rvrec6vcT3rNOFN516nicsq71U6y/6njVdszI/RNCtZDz6rnm sk438H+ZtzxOzp8Wejfi3Gah39Q5drrnTPba/Lr6Hh9v7vJuozB2fRIXmofy inNegOwTitunkLeGasYSyAWOwR2cC+wRhfda5tRF+L3Y8a2Lvbt633eADuZW dYzfFapP+0K/J5TfL0P2DPWlxyBPTPIv+dvEfmsIeZZ9UkzOJNU45kFT10au aWaf0B/Nfa9u5GTSHo/T/0nPmVuNzOd+kPsk1ZoS6A2S6kUv6Jcn1crLIC9N qsfDgCuS8vVKyKuAc0OyfUgfQJuTagHrVkPbz7tem3TfJ+mnpDrVEvoBSVx7 GPqxSe+29SHfC433Z9yTatzpkO+Hat4TkPsncfRAyHpJ7xcnQHZyTp4MvYt5 cwz0mSFOnAH9g1CN7A35Sui+7Kes77+4JrFGsD6MC8Wbsb4E8pZQrXjb/CA3 Dk6ylXYeDn1QqOaOD63h/EMxPjBUHw+D/lSoph+SFAP6n37qYW4wDi1s235J MWO8aiRxgnyYwFx0bGslxYD+nwV5Xqj/XY3xm0I19ULeO1RbLoAcG6o/12DO zaH+WjMpTozREdCfDvWGI6EPDvWPR8jTkJ+YW6ND+fUoc9Fcpr8fss/5vWFE qA/Q963s/w/p11DvYsxbOu6M832OdeeQfbRtBvQHQz1qKmTbUM85Cs+HhPoW eXpjiKtHQx8a6mGfQBaFeuB85mKo/n4MPBDqgdMh24V65keMW6i/TYO8P9SH O4Z8Sn8elMQ/cq885O5JdXxhyNf08w7GPPSNZBl9HKrpd4dqBOvDN9C/Dn0X uS1Uj1iL6PvmSf7n/Vok3bEC5B5J307OT7ob73VvqNawzqyAvjz0HWgreRHq B0sZk1Cvqoy5eyV9C9kTslJSjS4DmUv6DlQNsmpSfqwkH0O9ZzWwJtRLVgE/ hr4/3QlUSXqvmQL93VAf3QRsDH1z+pVcDvWqwNws6fvTBUkxZnzJtfOS+HZD KJeYR3ND3CVvGyXFiTFizp2TlHfMs7OTcq1hEs/IMcZ8nuPO/GuSlIMXQ16S VFvXAxtCPbVpUuwZ98ZJnCPfdpHvoX68Bdgc+h5Grl2YxLeykOWSeuq5STz7 /z2LORTqx+wzi0K9Zg5we+j9gjVgdqgOrINcG/r2tpMcD31ja5bEV3L1PziV 5SI= "]], Polygon[CompressedData[" 1:eJwtlfm3kFMUhr9unXOUSN0GSkiieVBRGu/VvU1ESShjLHP3GsoyE9YKa/UH ZCZTlqnMQ2ZSGjSHqJQGSWmelOf1nh+etff+zjfss8+799dibPWIqpKiKCZB LXghFkXXVBS9sZXwFLwINeBQKIqLsTVZb4PdTPwY9n2oA78Tn8PaUFiGfxBG c/0o4g7YLcRvYZ/M74rYWqyVwDfB73waPtAzUAZvwzNwmPWEfQ46cH83bDkM wh8IS1jfD5dw7Qjidti/iA9j/4Wv8U/DXglTc67VcDT31oXvgnO8DhoTbyWe A93xX1ee0B/aau+wnLUVUCd5j9pbe2xIzkHfbovdD3vhK+JW2FGwL9rfxLUz uH8y/j/4nbF3whPKmXgg9j5ozz1do/ess5iS13UmB+Ai+JP4VGyRfEY6m9bY X2E4rCNuqrxgJGwgPgm7As6HtcTHKg+4EDYSn5z9ndAyX9ud96DcT1EdYQT8 QXw89mV4AFYS18S+A8NyvaWRh+B0cuwVrbFn4SUoyWd8ebRGpI2fg2txl+qa 9zwDO11nDLXzXrZCi7ynIfmb+tYa4nZ86x78utBFe03OUbkNgFfgVVjNvTfD Nvy/4Yvgd+6CHfBlcA1eg2lQFfx+1f5QtLZ0BoOxc6AB3ET8ILYT3zwT2wOu yJpOuUbPYzsnr1XkWtyb966anMfauVDgnw1XwSxYxfrHcIG+CyfCeuJu3PsI fl/ok2v9cPZ75bP+BY7LZ75S34JPg6/doDWe2Ub8AzRI7gFpvxO8AY9Dv+ie 0Nkugyb5jFW77dHaUQ1Vuz3RWlEN1WvHQMfonlNtJuL3jK5RIj4yuZe+De7d GslaVg+rlw5Ga109pdkRk3tNM2QTdku0tj8P7p378btH91C1tMK1Xaz9CF2S Z15lzqFj8plU5GektWHJtZfm3oyeUWVZk+9Gz6TyrLHboRX37wueSROkDeID wTPxDuLWybNRM+TuaI1Km5p5VcqdeCdrC2CczpZ4B/58uEW1Jd6Nv1CaJT6B eDv+PLhNtSbei78YxqtWybNxKdxK3JJ4D/4iuJp4NtTPml0HG/VO+Iz197CP 5l5STzXk2Wv1TPCMvAZ/Ul4vxX4PY6O1qZ5ajL8EGueeWY5dCp8Ea6YJ77s+ etZKc02Jb4zWnmbiZfgjk2eh+v8j7KXRs7sednP0meus1QPqleHJva2e0exb Dc2iZ6D2qpxL854XwUIYF5zjPJgbPQsaYefDgmhf99Tn3aXJvaAaqBc+jM5F PVGPtTHYWcEaH0I8OLn20sD/sxKaR8/Ms1jrmXx2OuM1XF8FM4NzVm/+Fj27 1aOq3U/Rs1o11L1ro2evnqmd3EPqHf0D++L3SdaSNF+OX5asHWmgh2YTzA3W 0PqsAZ29cuzPWr/kXpHmmuE3T/5X6ZlK/IpkrUnzA9QrydqSBntr1idrV5re ED2zNKuksf8AlPUYNQ== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0M0yQnEYwOFjJmaaERJCqJSvdCfUonIDZtrW/ZBdPlIK90GKm9Da1NZz Zlo88/u/7ztnc7LXzUpjIQiCKqeE70WixIhT5C68Ow40ohdc8m0+09fwOy1R 5sdc0Ddd0nOKvJv/mDGlz4QxJ+4veqQ9PdaR5rWrh/qsOf3SrHY0rU+a0aEe 6KPu6YPu66f+cs8Hba7sa7S8dzVFkh22ubXf0E3iJFjnxn5V11hmhRhb1Of/ 8R+yxCBw "]], Line[CompressedData[" 1:eJwt0TVOBVAQQNEPFNgqWADu7toAnwQrWQC0rAZdAu7utLg7CQ4hweEUFDdn ZvK6F9PSFmwNCQQC7frSqzYV79jPOA4wgbtM5jCTOMIU7jGDY0znODN5yHxO Mo9TLOARizjNQs6wmKcs5TxLuMAynrOSq6zgGqNZpXXzk57VrQcF3EP0YVxR uXmZZ2owd7FXi2q0L3FO9zpWs9sJrzWrensn71RnzlGusjThls19NvGAUYxU mlLV4dajK43qXaHuYbo1P+pGv9rRj771oiG9aVtB72sVoUF7IrdYw2qFq88e yw1e6kKf/3/7B9g1R6I= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{348, 347, 351, 786, 777, 778, 776, 780, 779, 680, 782, 783, 781, 785, 784, 681, 788, 789, 787, 791, 790, 682, 755, 828, 725, 775, 691, 773, 690, 774, 679, 350, 349, 348}], Line[CompressedData[" 1:eJwl0tlWjlEAx+H3q25ASGQqY5TKlLKQKVKoUDKcuAAuwA24AVfQoVAtY6RC MiXFMpcyZAjJMqbi2auD33r++z34Dr69Uw8dKT8ci6KoQdVxURQOzZwbH0Vz FKcm5zS+Yil3KqYrzqns4w5uV6RG59nsZQmL9c++rFn2S25jkcbsS5pp93Ar t2jUbtAMu5uF3KwR+6Km2y+4iRv1176gFPs5N3C9hu3zmmY/YwHX6Y99TlPt p1zLNfptn1Wy/YiD+qInOqN9vlfpsf1dJ7TbuYVfVasazfNtvuKVoDe+7edr LuRVLuAipatMP3w7qT32NQ6pXwec3/KnruuG9vrWyjqdUoXzO7ZpsX2TGdyl cv1yPq1K+xa/6YMOOr/nEt5mJu8wix+Zw7vMZjuXcoDLeY/L2MEV/MRc3udK dnIVPzOfXczjA67mw/C7StRETdJkJWlKuINwP+Huwr2GOw/vIbyV8I7CGwvv TxMUC/+Xt9unTrWoXtU6rmM6Ght/4/8BnHxhWg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0UVSA1EYhdE/dIK7e4rtwIAiuBTSCTqAIdtgR0xYAOwBd3c7FINTX787 etVvIN0qbGYiImUhiZhnj8FsxAFF9imx83fORQzpLsMcccwhp5wwwjkXnHHF JQVuuOWae+4Y5ZEnHnjhmTHeeOeVTz4Y55sfvsi4UzDhO9EsZZSTY9JeqVVU UEM1U/Y6raeWRhqYtjdrC0200cqMvUM7aaebLmbtvdpHD3n6mbNv+5cbrLPG KissU6JIyhKLyf8b/AKWai/D "]], Line[CompressedData[" 1:eJwl02dzjUEYgOE15H+I3ltE772X6IkknNFLovfeCTIEQRAEQYjeyxC9z+ii 80dcOz5ccz+773lnzpzdk5zITcupEkKoJKtaCHlVQ8ingEKKKKaEUsooJ9Vn z+tdvUN2UgjjyCLBeC7Yz2dSXOttTjPFuiy+z3Ymxnf1FieZbH1Kz7GNCdbZ epOx5kyGstV6sObpEC3VQbpFB+hmHagntL9u0r66Ufvpce2jG7SXrtfeekx7 6jrtrmu1h5ZoN12jXXS1dtWj2l6XaVtdqu20WO/zhMecpZxDtPF8ib5itHkM h80ddLm+Jt2cwRFzR12hb+hk7sxK8ypucJ1h9oq0hc7TZjpXm+s+baSztIHm akMt1Do6Q2tqbWqRxhV7V9nNU56RyeX4e5PgDAU8iufIQ3ZwiYvxPPjDX37y m1/xXKjkK5/4wud4brznA2/j3eFdvBN8ZCff4x3iG1P5wS6SfedpWl2naw3d o/V0ptbVHK2ve7WJztbGOkeb6n69xnwqeMA9FtPa81a8NC8i1XxQR+lIXpgX 0tJ8QEfocJ6bF5CS9P8/9g+BPHJ4 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VQlGEAx+EXFbC7G1vvdjcgFhbGQTEBBduDZ8UurJsHDwZ6cnTsVuzu wsLubn12PDzz+8+7Ozu7+31fXGpWcmZUCKGA9OgQ0sgnPiaEPEZxnFROMIeU 2BDm6kY20IsznOU05zlHEhe5xAWucJnebGIz89jOWHYwn/WMpC+5jGAXO1nA VrbQ3PcoTwXKMc5ZRV2olXW8VtIJWkUXaTVN06qartV1sbbQmtSiBhnOdtPS bsUSu7ZO1D20ttuw1K6jk3Qvbe12LLPraqbuo73dgeV2nGbpfjranVhh19PJ eoDOdhdy7Po6RQ/S1e7GSruBTtVDdLd7sMpuqNP0MD3teFbbjXS6HiHBTmSN 3Vhn6NHItbSTWGs30Zl6jKZ2M2bZN9wfuawjh2xmk8dwr5fxvrKUpDSlGOa8 uJYglmIUZajzaI2hEEUoTIrzoFH8tv/yhyH85Bff+MF3BvOFr3zkM58YxHs+ 8IZ3vGUgr3jNc17yggE85RmPeUIByTzkEfk84D79ucs9bnGH2/SL/E/c5CrX uUYftpEY+Uy/LVvHcJLRnIpcGzKi/z+P/wDGSHqF "]], Line[{1502, 1458, 1462, 1463, 1464, 1465, 1598, 1668, 1844, 1667, 1842, 1666, 1843, 1698, 1841, 1665, 1839, 1664, 1840, 1697, 1838, 1662, 1836, 1661, 1837, 1696, 1716, 1659, 1835, 1658, 1719, 1693, 1710, 1657, 1690, 1656, 1877, 1876, 1629, 1875, 1689, 1700, 1692, 1881, 1691, 1711, 1630, 1878, 1660, 1701, 1695, 1882, 1694, 1712, 1631, 1879, 1663, 1702, 1872, 1873, 1869, 1871, 1870, 1713, 1714, 1545, 1502}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.44999999999999996` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.44999999999999996` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVte2t7EGiMaeWLEbo1iiCXa2wW7UEI0tYmJBoh5RFMUeOzasKBrU BAv2gmLBxouoiIiIgIKA8AKCgPQiioUv3xjvM/cd25HL8ST3jHPHzV+MZ8w1 N+u39ypzlfk2njBj6KSyRkZGEz8wMvr/f5cufNvWbFWMbvz1Fbqx3b2U3r7T H3gNDxeuUta3yHlQgPAoswXVT58/JIz/9/0ex/h95S/+MP4w/jD+5U+8iBw6 KVj8Yfxh/GH8R5qYTp3VO1z8Yfxh/GH8za98MrnbiCjxh/GH8YcDkss8tkk8 q5SZ0dyu/OTHio29R2OT0CDh9Pwf02fueCDc4nR2r/iAx8L4P9tc50xK9wTx h/GHKT98aqPP79xMkvIw5WHK63p96nVqSIqUhykPU/6zBm3bbYtMlfIwdtfn X5ycN+6Z8Jt73dqMTctUEndbLP/JPlIX57S3cruJO5VBusHfFiwMEeZ9w55r bbp37HpFGH+37WZPG8ZHiz+MP4w/zPeBvzix9pDxR1uVaf3Nk1Nz4oU93uzO HbUsUVkT9umOlqceiZ3vA2OnPP6mkfsdepgmC8/2Oprd2PWpcNza09Mr1k9X BtXa2ePykvvv2PtP9MlMP5ChNPKqGrjLw1/K875hyp/prpt2r022tE/eF+0T Rj9Med4H5bXvh/YI097QD2OnfWGHsdOeYNoP7wPGTnvifcDYaV+R19Znlrsc o2yOHrn1hLte8d0YNXuoT4DSuafjRsU3XVm0aeri0T9u0NVunLH8s+EHhRNa 7jp0wv2RUvz15BDd0xBlZXj2kLvz05Qa3z6pGD/piDLK+c0gt/VZoof3gf+g svtabG0aK8z7o/3zPcvt32IRVO2qsq/OgsrN+mUKZx1/fvd0WfV7075g/h/v BzuM/XMX9yir+Y905iePDjd3cFBcT4S1dhn/QLgwxHTJgwH3hU/qVx3oYRsk LOOdgWc2fT4w9At/4cnBwYk3Tc8K079MP/vtcvaPl6R9wbwPC6ctV1sMOScc H3P8os9Mnfi3K05/tHbYLfGHKX+j0ZPvPYNuCLuH546aHntb/DPalXu24XKo +MOUn+5cMqJTVojwvt3OrYyMwsTfP7Fq2oi7D8Qfpnwlpw1HnqyJEJ77zbaW t6tFyvvm+/N+Yd4fzPuD+X8w7bdvv5j7DeMT5PsynjAew12SrvccvD9S8WqU aF1+8hNpT7Q36st8DDO/wsyXMPMfzHxGe6K+jB8w7QlmPNH2D9oP+hgPdpV/ 7eq2PlypW5x6LzUnRd7H+ZjDnk7H42T8o/3Tv7HzfrDzPOw8j/5C/QNW6zKW DEq2pL4w3weWeCLDOrLm3VglY+fca8XtH8v4Zzxk/ZPmDaLfmW9ndR74WatT KUrYlKCOWzaq45v5I0uT9U0D35kvdxcvWPNbwywl6Hp0SD3rCF36K+MBGcGx St3Kbuk2XwUKrxgY/dh43Slhr3vfFnm98FLgoRMC23aMCRS2zcrPqbgnQtjj 2IqBs3//C1uFNzyzcfhjpY5pjNu9OgnKR08PVVj51W3l4SG/jjeaPFMWXXO+ Pq9npGWVlVFnsqauE44e/mycY+Be4YiYLSHLtl0Q7ul0/PDY1leFtw2zTQrL vCkc5DEztOfFQOFfY3UzzhiHCndd0dduyvT7wrM33bVfWPeBcFWL72w7LH0o 3N8q5h+9zaOFn6SOn/BqS4ywWWHqlMqW8cKP73Zqn/itXvjlsFcdn32aKNzv kOWpgOhEmf/HdVhgNeWIXhl1blV9W/s4aW+Un9imrPc9ryfCp5f2aXtsYrIS FVDDKuZilHKrTHJOX1/VfreiSYezXZ4K1/t+0IlNGSp30lc5vdM/TXhVx2Hm s+ekKznzL6w6/TZc4ocX52t2zU68p+x6kuF32kMtv/fix+0Xf50hnF3p+2Oj 3mZIf0oZauFa80664hu0stqqiLsSX/jNv7zecoi/Eta/TvtWOzOU1GvK9FE1 /ZS2ux/3SDPJlOd96Nrg1PiILOHRKeNa9VidrZxvV8e0ivc+iU++2Law/PwG yb7EH5SX8cnAMj4ZWMYnA8v4ZGDGJ1gbr9C+sdNfYW28EpyTtv+zWur3YXyC tfHKtHHhn5+LSxW7Nl7pfr11ycDV6vsnXrlZtnlDm2gPqV96cUuHJjXDlWj3 kP5jq6YqbnWvVY/yvK/08bS8FXBHff7IjIwD8QlHhRdUGZP0sckj5fj5MT0G XouT561z3Dh2RdN4ZYFzq+xcJU4ZV37hrYHH4pRm7l23OUyMV15ERkYeKPdQ GWDn1v1zhxTl7JeeV1aanVcaTT34YWSZLCXV6uLmiU7xMl6GuGQ3Cf7+hDJw 3rqYO2eylACbkiY1R3u9Ex8xPo560nHjmYDfdNr3T3zk8PJOUuyWh1Lfsncv 77l6NkrY1G7ameTpV5X6w3uNHD1EbW/MJx9FuW52PRIt5emf8NTbS13smlyQ +JD5MffuJte1I9X1CPVlPQETH8B8Tylv+P7w0e8urjngFyPrgegKUcM2t4lR 9qw6ZnujKFEpHtYw6Ev7aGVwucsXctap8bBNrcXbd+7Klvow3wypdCV9StIj Xftb6/vrhntY1qw0P6BeFZWd2pyuM6koQtirTUEP7zsPhNHD86p/Y77ltfd9 sUcNSZt2Mj5UeJbeamn2ptvC6frAwPWd7wgz/8G8H55/vGmXGWYm18Vu0dS7 xfJx14Sz7vR1/2zCGeHE4KGtJ3ifE2Z8kPjR8L13Vt1y/M4H3mp/9BiRbBLr J+OJxIsGe2HmxLC5h64LT6k4K2FXSZCUl/jQYP9t2JIQkzt3hU3PB2S5bQmT 8hIPGuwHbAYnDy5Sx5+4yREZP/4ehxXP2fql97poae+T9+1bGPZTlLCvT9nY PmPChM2TqzeZ1DlUuHxRcvnTI28Ix31TcUt2NT/hjY7HR6y29hEmPoFjX532 Nw72kfb/sWfnBzeP+QmjRztfDfGfnBBfN064z9O5BfOS9IrdvHk1428Ei39A FfPe1qtC33ke7R3/LV0vz/jOTR1fT/n97Dh2WpKy8uQsr43945RLPmEj9jTS K6Eu3ZYap/weJz5wf+68PEHxOf5xv0qDYpW9xs4TTColyvOJd3neqxr+WZ0b quNzHfdVeV8VJisVV2VG/Nw3SuLjrS083VKePVRifZuGfpWcrBx/+ZFxa7tI pUdYaPM1vyTL85k/ed6kzED7BofV8X6Fo8vMFj+nqvOXYX7Efi/gXkaZz9X5 NnOQa47pB8+kvMTjBnsXj4f/SLmoxlMjW7jPyN6UqQT82Od1yEf+Er/jz/xJ +f3zH6cHWWUpD0MtRhRN2q202XSoc5Xx2YrNjqA1r2c9lPZAfCvx3dk5P5it DhYm3pXva4g/Zbw2xOtwq8upl2ZuvyF24gc4rG75Ti0WhKnzmSH+hVu2mRNn 3/2hxPseA+7qGwzdLv3/wvquXebWXSq8OWbT0SOvHyntOnrb3nmcpPgU9zp8 Z2uEMvrk4utTrZ4qy007NDi15r5ysFKdtNHRqUrtD13cf7l/U7Gz3Tn/Rdwz 5XjMxPii3cGKT5OBobYT0yX+pz6MZ33C09qnf+uj433BvB+Y/gbjH9gwOLF2 683iD+MP4w9/fkE3pMWrRJlf721f/Sq2+lNh+9nfHHZt9Uz4w2GfDB9olS38 YGf2UqMTucLN1gyLjPHJF3ace6HNhRuFwv529VZuDS0SrjZiSbR97EvhcX2S 2g9IfSV86ot+q5sVvBEuaXrscUlJyTv7lcRT6IHRA6MHRg+MHhg9MHpg9MDo gdEDowdGD4we4kH0wOiB0QOjB0YPjB4YPTB6YPTA6IHRA6MHRg/9DT0wemD0 wOiB0QOjB0YPjB4YPTB6YPTA6NHuRxN/ow9GH4w+GH0w+mD0weiD0QejD0Yf jD4YfTD6tPvprB/QC6MXRi+MXhi9MHph9MLohdELoxdGL4xeGL0wemH0Ep+j F0YvjF4YvTB6YfTC6IXRC6MXRi+MXhi9MHph9MLMr2e/a/ywUZcc0Q+jH0Y/ jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPon3LtQC3XxbmiH0Y/jH4Y/TD6 YfTD6IfRD6MfRj+Mfhj9MPph9MPoh9Fv1rbl8Ar+eaIfRj+Mfhj9MPph9MPo h9EPox9GP4x+GP0w+mH0w+iH0R/ufmzb3IoFoh9GP4x+GP0w+mH0w+iH0Q+j H0Y/jH4Y/TD6YfTD6IfRv+aDdhFpAwtFP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y /TD6YfTD6IfRD6PfcvaZGjabnot+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD 6IfRD6MfTrw15sXAbP0758esV2HWo7wPmP0m1p/sR2nPi1kv8r5l/9Ww3/TR h0mFo2NyhG/MtfsyuGGe8LwnabMtbfOF235rf9brcIFw0tWc/CaZhcJafawP 0EP8Rv2YD/FnfoAZL2HGD5j+BNO+OO8JsZtWZcyXqXJ+Wzl/qYtxaLYyx2OY +6WweDkP4vyM8yb2B9nPXHqwqWeZD5Lle8HoM1v17FsfszSxw9ivTPR+O90i U+ww9jZ7rz6ofihH7LCcL29ubJ51Jk89XzAw9uAlq5bf9i0QO4y97oy0qANB z8UOY5/6w+B2Sx++EDuM3Wfw6VVjEovFDmM37lEr1iLrtdhh7CPN53eoXvxW 7DB22gv7R/R3mPV6sfcP1bY2TZL92E4xu6d42RyX9TTMfoVDo9gOjXt6C2+c s8zerMs+HfurlIdZj7Nfih3Gzv+HqT/rR9oX9w9g9NPebDdM2ux0PFn2V3ge dvoL7VHuzxj+H+MF7wvmfXEeTP9jvGA8gekv3HdgfGE8YXyGOW/lvgL6tOfV xPfcp+D+BYw/4zfvp+Wvw62zK6VI/2Q8xx6wqMEbz2bpYmd8x247JvmITfcs sTPeYy+zZ8Qxk1a5Ymf8x27tcqlM8pf5Ymc+wO6x0GyU31eFYmd+wJ41dfnJ XYOLxM58gd3y+5Tyc0e/FDvzB3aXAQPHDJ30SuzMJ9hjO5883WbmG7Ezv2Bv 3bK6scniErHTXtgP4Htp2wfrT9of7YH5luev023Y37kwQdo3z4fZr9Tup/2z 5+v/U+fpYXm/3vNumKXMOGsSlrM4Ufb/Krve//nQ9hThYzN/af3DiXThAdbj o2rezBKevWOb/6TpucL+zi9qf7UgX7i6k82M+s6FwuMm+d0s2lIk7PVds/rh e14Kv+21ZtbJI6+Eh3TMCFx77o3wr02sG066VvLe5/Nhl2IaB7z00sHBPZdv irh5UEd74byqtPNs7Xl1aefNf/Y8WXteTP27W1T/ZP/JHOHEeO+Iqsa5wjn7 to+ola+y26BONVcMyhM+WKWO2+pO+er54cVLwwo3q/z9ot0PXi4sEDZqYen6 0wOVq6Y1rDXNr1D4/NZrYY/qPBcm/oEZz6c6DanV5L+cn9JfeP/a82btebL2 /Jj+pY2XOD+U8y5D/CT3HQzxE0z8BBM/eQZVm7N0WsI/fR6tPX/Q7uf/2fNn 4i3eF/EVTDwFEz/BxEsw8RFMPAQT/8DEOzDxDUw88y+f/xq+p8Qvhu/xkXNs r0XO54R//a7MjtBRu3T/18+H8y/OuTNmXpK0z6v77VsGr30ivGVnj3nVNz8V HrP8ywfL96YKt5tbofntQ8+EX457s6zLxQzhu8Pv3l+iyxYO/m3CJ/Mm5whb uA9Udj1Tx/+6mwLsh83OE3Zee3K7U5E6H0z9udWNtksLhCPmVc/4ttxzYR/7 jXVNXVRuNtnJqk2VF8LGY/MckneoPGtk9E7jesXCIwaNuOW3X2X/vpbZSS1e Cx/sdqnB7lMqV7XY10fX4a3w81Zms+deVtmnTUTO8c7qfPO+57Xve/4aFDCj wqD/ct6pve9B/2C9Sn9w/izvbOQkld0ywi1irXOlPOtZmT/c5hQMOKqOh4NG j3Qasj1PyrPelfmk7MuOV7JUf6OA6HN+j/KlPOthmV9mLHJs21Hl8x1+KOxg VijlWS9jt4ktOeMxV+WpvyV84TnhuawHaO/EX3yPXkceNe60MlmY+BlOWL03 JHNXmjDxM7zEbsrCA96ZwsTPcr9gX+1tJ5LV9k78LPcRtixKX5OrtnfiZ7jt Mn1P2zdqeyd+lvNkh947FBM1HiJ+lv724+HMurXU+Ij4WfrbN5V6P2+kxkvE z9LfLB3c75ur8RPx8x+dP5d2P+jPnj9r70tpz6Mb3vRcWGuW/p37afol1kVT Kqn7/8TTtAeY7w/zvWG+L8z3hPl+MN8L5vvAfA+Y9w/zvmHiTRg92vNvGD0w emD0wOiB0QOjB0YPjB4YPTB6YPTArC+4v0j8C7NegdEP4899R/xh/GH8Yfy5 H4k/jD+MP4w/9ynxh/GH8Yfx5/4l/jD+MP4w8YL2PjbMehFmvQjjz3oRfxh/ GH8Yf9aX+MP4w/jD+DOe4A/jD+MP48/6FX8Yfxh/GH/Wu/jD+MP4w/gz/uEP 4w/jD+PPegR/GH8Yfxh/1iv4w/jDlGc9Q3kYO+sb2f8y3DeW/CsDS36Vxs79 Q9lvN9hl/0xTnvuHMPcLYe4Pwtx/5f9LPpvh/8HUH6b/aPPbiI+I54l/WC8Q 3/A8xmP6r1aPdjzT2hl/YMYTmPEB1uZDUn+eD/N+Yfbvue/L/hT5I+xnkb/F /id2/j/+6MfOepz1F+8X5nna/WP2R2DJzzK8f8nPMjB2vhd2GDv/j/1r9FNf 4hOY/ViY/VWY/V2tXuYv1tfohbHL+ZShP8h+s4F5/+RzsT7neTDPY72OHcbO +h07jJ31vKyXDYyd9T12GDvrfeyw7NcY1v/YYezsB2CHsbM/gB3Gzn4Bdlj7 vhlPeN8w75t8OJh8OPwZf/CHKU8+HEw+HP6MV/jDlCcfDiYfjvapzW+T8yvD +ob9aZj9Y9qvtr9r8+Ng+g/7Lfw/uY9seD7nE7D2PIn1quQvct/YUJ79cpjz G/zZD8Vf7hMbynO+CHM+KfnNhv1Ryc/lfrGhPPvxMOcp+LN+xl+b/8d5i+Q/ GvJP8We/FX/ZfzWU5zwU1p6nMh/AzAcw8wGsnQ+0+YGMh4xv2JkvYMY3mPlD +zzJ9zEw8Rss+T0GJr6CiZdgbfzD/Eo+6EFdUPkx5/Ll/RLvkP+Z0K6sXY91 6nytnb+Jd8indNu9yvNUSK7MN9r5nfiH/MyvTUySG9fIl/9HfyOe4v+Rn9o9 5foqJ3M1/uL55LPmDu13M9UhT8YH4gP6I/nUzC/EF3xv5jOez3hAfbX1w45+ 7IxH/D/+P/nFMPWr+/Zp+bf6KKlP3zE+Px/qGvvO+o39SdoXTHuC+f8w61eY 9SvM+hVm/QqzfoVZv8KsX2HWrzDrV5j1K8z6FWb9+kf5rHK/vX6iS4Wlavxe GNHL5mmg2j58f1tavqAg79+en+qw0z8o8YdoJW/9R2V/vH5K9sf/1XzU4R/2 Wzu4sl453/V+hcM631LzU3UrHh5+tFiv3Ey0S1rSNUApMepcbsJ2vVJtdoUB /TqUnr+6N9NvSuE9vVLpk1Z+V7eFKr80nDbyVahemXBz9/46CWr5P8pvXe/0 wT++8dYrr6f0UUxXPFCS0pa13nJYryxS5lrlNSs9/3XXRJ+rq3vplZN9fRaO NVXtf5QPK+t9zk8amWx63Vwv8Xlp+bKl5cP+2fzX0vJbS8tPvbXC/0KV3Wdl PFx31NGlbUqQjH/Va1gNCl7/8J3109E+4z4pH+st8Rr7taXls+7/vHLoMiu9 8kf5rfc8GtlduqRX/ijfVeebdmRcsF75o/zXQt83DTvO1St/VT5safmv2nxX bX5rlPelwDw7f5nPmA91ExOebmuZq7yu7uz6OPm+zF/Mf8/KlgmpPSHvnfzY VnfOLAix8dG5jBg69GCZXMXJocd0W12w7nrP/HwLqzzlzNJ/fD2oQqTO+GyZ smNn5yv1J+5r26JLpHyf7bfdq26vHKXYD21eZVr3MF9t/mz1h95F5Wx//z4/ NzjsV/aRsrurctQn1EP30ZdWuiFjcpSwJmluEWNv6FIq1ZwVvz9Xsb7+nfOS Q2G6t2FLCt7E5imzXCodqzQ3Rnf+hnEXT+MCiQ/2Veu9Z66pep+1vlfRs1kV flU2e48aP9b9sayvO+d+csBrc5ziM6/f+Fubj5eaP3upZMN3nqseK0MO1HEM j92uLIw52+CKdcw7+oiHPA6Fdel7KFrWH9Hzrza7OShGcb04I+D7MQd0Ke0e R7VcF6M4/mTWvnK/vbq/Oj9Wmx9Me2Q+0uaHVxias+OTC8fl+zW2jppzsObB d/ob+dD8f563bt+HWW2mXFbL7/9kid0lX+HijfV+8XC5Jbx843br8k9uKv9q Pip6+f++Xzc/OrNGiDzPYtCxvMpX7gn7rGxw8GphuPDPK6OXzWisMvGU3Jdp 1GGN6+R4sQ/Y3PWhg5le+Jclv5oPapUovLBkUd3mfgnCrO953u0svYNRcJLY n04vu+JTiyfCnX6we1TWKkW4TlzvWzGRycK1h94uCfCNl/2AK/3W3/mxQbzS 9sWeNXEu3sryFtFJcybGK9V/Wx1yd/x5ZXCRbXxmA70SZh/RqVY3P9kvoD4/ 3T3c4ELSU3n+qsFB7eIGpwo/6N7W+eLodOELVyrN3pqdJsx+As+rcNwhyP7V M7E3Nd8au21ShrBjvecdHGZmCQ/fFdFowAcqs//A84b22d1tq0mO2MdVOHHD 01Jl4zdxM1x756rtq3tIypIqKrNfwfM8vjDaal8rT+xeBVXrLRuo8qgMq4Dp 1vnC/c079BhTT2X2N3heTlPb1P6NC8Ru9GT2TJsRKh+OOVh/oE2h8M56bq4W n6rMfgjPs6wRaNmszXOxDwmPutVpgsrPg0wdm08uEk4xLU6r1lFl9k943say 5ttLOr8Q+6/+3c1qTFe576Xpt41mv1T7S/HYnpmWKrPfwvNiczc9i+5dLPaM 0x6zs+arvO1IWMPYJa+EV6ZdcwscqDL7MzzPPCH/q/PWr8XefW/5O7dXqfxk p4XThfVvhCOimmfuH6Ey+zk8b1HoyJ1bbN6Kfd3myY09t6jcYY178NYdJcLN Atf2WjJB5ffNb9/q2GNev/V62S+alFjuVOBovfJF1fj+zc5eV+w941o9Oa9X HIeZHdj56M5758P/0Chh38jf41XKn7No0i746u/z5c75FXLjg5ULOdt22N3V Kymfbm08t274e+fPzzp1r8T1pF72mwb4hfesc+f3+DZss3e/meHK2v6nPl+6 Uq9ccp41LP/+/718+9J+L0P7exjvm5//vvn2/2n586Xly3fbd2lfpcQJOlO/ dLsNFXOU5V7eCT8FxKnnHf/h+fPl3/Qcdu7pNtlPkv2y8L3LOrXMUQ6bVD2y p9sj3axaXZal+OYrRt1OJh6apJ6HsT9VpdzUrSkB+bJ/tHj8zv1dlucrb7fp bs3Ji5L9q42Lf63YofEjJSu26ujOeed1Z+a5TLb6zks3pErAAuNTv8fD5yc9 fbUmUFd20YBLC/JzFbdcs621IyJ0CzwmXDb+LF/2Y2KHfuq8c/MeOU9hfEv2 eWvnUCda4lW72majihU/nVG5Dzd0H5arxPptqGS6LFRXMCEzsmRTnnLF0bF5 9IHHSlgFj+uDz/4i+8M8r3WG9S1970fyvI9vWOYetIiT/SK+D/tBvH+Y9609 H2O/iPIw5bX3GWhP7AfB7AfB7AfB7AfB7AfB7AfB7AfB7AfB7AfB7AfB7AfB 1J/1KfWHqT9M/WHqD1N/mPrD1B+m/jD1h6k/TP1h6i/raUP9YeoPU3+Y+sPU H6b+MPWHqT9M/WHqD1N/mPqzvqf+MPWHqT9M/WHqD1N/mPrD1B+m/jD1h+U+ uYGpP/sP1B+m/jD1h6k/TP1h6g9Tf5j6w9Qfpv4w9df+fq/2/gH7E9i19w8Y XykPUx5mP4D71vjD+MP4w/hz3xx/GH8Yf5j1Nut/1uOSD2VYb8rv8RrWi/L7 u+QfGdZ7rN+ws/6CWT/J770Z1j8w6xeY9QfM+gEm/oeJ32Hib5jvq60/8TFM PAsTf8Ly+8KG9wGjH0Y/jH7ZLzXoh9EPox9GP4x+GP0w+mH0a++LsL9Je4HZ 32G/k/YFEy9w/5X2qM0PZf6Etefb2vlS+3208yd2xg+Y8QNm/IAZP2DGD5jx A2b8gBk/YMYPbX2Zf2DGc8n3MIyPMOMN+vk+6IXRC6MXRi+MXhi9MHph9MLo hdGr/f1s9stpT4yXtB/GR9oL4x/nkZw3cr7H+SLngcSfxLeU57yS81DOJznv JL41cnJptm2k2j5h9l/5fpxPEh+iT+6PG/4/9ZPfdzb8f/YbGT9hySc17AdK PqmBsct5uOF+Dvl1cNTJ3Jc1yjwRJj9Se/+J80+nDRcPBtVOFTv5knDNacuG LWufIUy+JDzas5lR/WY5wuRLwoe3rRlR1C5PmHxJ+MWKjONh3QqEyZeE+zpa lzvZ77kw+ZKw24Szo9cOeyFMviT85NvaXrY/FguTLyn3vb5aVLHnP14Lky8J r2ivt6k3960w+ZLa981+Oe8T5v3BvC+Y9wPzPmD0w+iF0QejB6b+MPXX3neg /dI/Gb9p35LvYChP/4G19xcY3/GX/AdDefoXPMZ8SO+7LwvEn/wH/CUfgvtA iVVsK+5Wueov91colmo+BPEL7Z35gf6CfsZTmP4CM77C9A+Y8Ramf8CMvzD9 A2Y8hukfMOOznMcY+gfMeA3TP2DGb5j+ATOew/QPmPEdpn/AjPfa9iT5hAaW 36MxjLeM74z32vFb8g0NrP29E8ZH1vPa/H3uy7B/wPjZPmi01cfnopUFqf7u 9czmiT/3NWHK66MLn3U9EiXltfnKf98X+e/vi7zv/ZD/7fnWpeVTa++jaO+T lHZfpLT7IKXd99De5zB7+rVVjcx45Yu+Xk971ohVtPnefzafWns/orT8au39 ib8635r+S//UnieXdl9Dex9De/9Ce99Ce79Ce39Em69Y2v0Hbb52afch3jef +33vS5R23v7P3qcgH/PffV9Cm9/5z96PID/0ve9HaPL5/7flq79v/vlffb/i 7/sSf9+X+Pu+xN/3Jf6q+xLve//hfe8zvO/9BO19We39wr9/z+Lf+3sWzGfy e4f/Yb//oL2PoP09nr9/D+Kv/T2If/d9Ce19Yu3vmZR2n0J+X+rYmEsrCx11 /2n3K/4fceWItQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdl1dwl1UQxe+FQKgJhCAESAgQagidQKihd1SkRmyAgoiAWBALgooFgSfF rjP23h3bWMbyZu8d69h9sDGWUc9xfwyMD2fufvvd797dc3Y3/3Rbtm7e2kYp pY45pcZajxDGCL2Eo4SxQm/hTqGd9mzQulPYITQITQW5k89YISwXCoRlwjih r9CSfYXAe31XkdBcaCEUs3rvGuEEoZUwXugnlAjrhXVCG8fC9/u+a8Id9UI1 7/1Na/YNEGqEUmGg0F4oEy4RtguLubOYGC4WhgiDhXL2dhIqhS74hmF3FSp4 31noA3/m5QxhE+8XCCOFKmE433UXemBXwn1vOGpNDm3hqQhfJtcm7CvkeTm2 uR1EzF3QsC/+leRXyPct/qdBEWe1xFd0AJfV6GF7tjAJfk7B7/cnC/3RrDH3 uh7mC4ehg/lugK9T0ayGeMuJeTHP7dlXwbuh2J3ZVwl3dfBqPkfA6b53PfDv IF5/e5awEE02sbccbnvBayO0cB5HC0vRtoT82sJN9QG+/vhLycnvNwqnkfvB rH4/NUUNOcZpKWrCcc4jzg7CxBT1WgbfQ4l/Mhqbg1Hk7zxnCLVwYe7Hwf+s FLXXk3113DVHmMnzOuJ1HVwIj5VwMBYeDuE+n3GecG4K7c3ZGDir5WzHsE04 H41Xpai/ZuQ9mfgHkWcZd7sP26DNQmJ23lNSaH8o+fTkrmlpv+7Tic29Oxse R5FnHRws4Nvp5OP9W9HGurQihpZ8M5NcZnH3aPbOR8tdKeaFdVvE+VVwPxf+ R6JNFectSvvngOvANXB4ir44KEXNN6C1e3U5vDmfSfjtW4HfdbkUHXZyVgc0 ORINPeuWcP4O9nnPsZxTgEar4aAZehXCxUr81mkxMS7Bbs8Zxx3w3Sr2n80d Pv94/N6zmWfbt1tzNd9auF9DDcyD28E8u0aLeb8W3znCidy1mmfb7dhfik7u wRp86/GfhO1zPJ82stccn56i7uaSg+P3rPBM75aiRzZhu0cnwIPP28D5Z7K/ As09d1wfU3hXAWeb4aGCMz2LthBfG3Ldgu2zt3J+fYr+8gzyLN2Gz5psRyOv 1t66e1a7b8dzj3OoTFFr29lzEf59OfrZvTUELTrC9xp4vlVonYN76+Tacl25 Bndytu/zrOiHBvXo08D+zpy9i/OXELPzuFF4Hx1uFlrk4Mwz6ZgUc+4VoWeO mXKlMCbHfQO1PpKizz4WHiSPXvI/gF0h+x40HCL7sRRz5RvhxxQz6HPhsxT9 /4TwLpz00P77UsywObKfTjFvXhBG55gVdVqfS2EPl/1kinnQV/ZDKWbhD8In KebSpcKMHDUyXesNWi8QpuV4tn2tMCmHXvVau+Sovee5z3c9xX2+6yphXI5a +UX4NUVtO8a9xPYofJmrx+HCPFwuzM4xt74WvkjRl+Xy/YRWXWW/mKIH+uXQ w1p8INyVYl5Wyf9yiln/G3k6x0Hyv5ZiDg6V/XqKmV4r+80Uc/Ml4R3OHyX/ 2ynm8XvC7hSz/Bq4MA/dtf5MDd4tfJuivx37d8T/LBovJL+3UuQ4S/YbnGkd XiXOvfBrrj4VPkpRqx/ybPt7nm1fz7PtCTrnS2LYI1yWor+s+RXovpu7fa9n jee7/+b2lq9PjnlUqLVpjt/X2T9WcvxOf5h6ci311zogx9y5N0V9//ebV2tp jt9oNVqn5oihudabUszov4V/UvzN+Ev4M8X/BMXac1uKvv9d+CPF35tnUtS9 a76V1ltSzHT3mXvM/VWi9Y4Us+xqoVOOWXx/iv5x71j/6hw1UKC1SY7edr1U 5qiZ66xDjtlibSdn/s65D3LMtrIc/8t4Frp2huWoH+e6B87dN93oHdfa4Bz1 5lqemKOeXV8jctSY7/wqxb3/Ai1YAEE= "]], Polygon[CompressedData[" 1:eJwtlGdsiGEQx++p2nvUFiqo0VKKCi1RpfYOEbspQag9gtJa8cmM2HvvEXuX 2CQSESt8IEaIlSA2v8vdh1/uufee933vufs/F50+tmdmhIgMhEg4BDWCSAo2 HoT1EkwyDIbNsBI6Qhd4CZXYMxXbC77Db/9eLdgHr6A3dINo9laH/qzLwj04 C92hPeQjthTbEtLhGhTk2TBsFjyHK9ACesA76Ep8EbYnvIY3vi4Hq+CF760J xdi7G5sJoz23/Z675ngAqrKnNbYB3Idc6Otnrk3sCzYBpkFl/CrQj3UUPIB1 vtZvXIWtmqOf6QYUZ/8Y7Gy4CaXwx2Oz4SE88lokQklie7ETYBzcgideyxzY BMuhDXSG61CEd0ZiZ8EF75n2qrnvjQmWu75zFOrip2IbQzPWl7B9YKb3di12 iliP6+PHQTTr6fAB3ntt9Z0jnpPm0gj+qISCaScGnsIzj5WHPMTyB+t1He/l Ro9pT3+6plRLAyCJ+EfNGeaohvCTYS7rSVA0WI21tqPEYqt9r+4pHayGOV7T EsF6kO2auAvHYQa0FftXFHsm+j8/qa6C/aue9jTYM13Pg7zBzqRnGQqtWK/x 2Hx4LKbpLNeEaj2NPQtcHx1Zn/HeL4QTEM+zdtgmcFt1FUyvqq/L2lf8TmJ3 Itd7qL1TzZ6CBPw0bFOta7CcNJfJcE6f43fQ96BQMA2pdoaL3f3IYGfRGbBH TJOqRdVsGdbLsLFiNfoMFYJ9Ow62iN0BPZuesRqxg2J3S2fMW7jjZ9EzNSR+ 0s+qOTfGP+25a44R+D9cC0PgK3zzXumdTCR+3s+iNamHf0xM21rDmviHxWab an4bFOBZhtiM2QGF8UeI3SGNbfdaZLg2YoNpXzWyGP7CIEiCf2Kaj/Fn+q2d YlrUb/7yd3SvzsgU4uvFZqHOkF1iM0pnk84InY0Xxe6uzsgVrhHVht7BVNYb xGadztSKwXqgtdc7+x8+KqAg "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncz1UWx33PNzWIpJJB+yYSmpGaZsaYrWZtmEw89iWyeyhL1kgLiogW kUgLobQokmUw2bcYW0IiWSJFZOm8nc/39Xv+OM+5y7nnfs6599xzft/nquad 6nS0QoUKtfU/qfPqzts5tU4KFfqn8385v8cJoQ5ONRhzqu1jdZ3+5u2/OtXx 9v2sc6pmoa+N0y+cHnYq7XSvyzzh1Mupt1NnH+vkdLvTA05dnX7j1M3pQaea Tl2c8p3ucHrIqafTH5x6O/Vy+pPTnU4tXV++U3vhx46u3r/PqZVTlyRk6D+g MWx8UPx+p3N8zSVOF7MXupw6OPVwauvUzqmneHvZwXxHpzyL/fs69RMW9mzo 4w2cLrWwGdlO6PR+d6daTv0lC97Hk9gb3QOFr5vTAOGm392pjTA9onnGBomD 92HpY81jwo3eRzVP/wOn15xedyrjOPo4H+L0ZAE7RmkNOoZLL1ie0jzYn9YY eEcKE1ieEWf9CM0zN0zr0DVBc6wbrX3wwbPi3JcXnYYK11hx9h8njr6XxMH4 sjCht4nb1diprNN4zTM3UXuCsYTPnXJ+2ultrQfXJNkPrjeFg/2bu3wzp3JO TZ2elw/fSKL9gtOrWocdU5zGaP1kzY+RTX3k61eEhf2myx7wviUOpmmymbkZ wogd74ij411xsE8VXtaUtzjrmU7vaR6MjSzOHEwfFrDjiNNOpy+cPpIN+OC/ 2ps952iMfT4WB+M82QD2+eL4da7mp0vvWqd1TgulD+yXO573nS92+l8SbTAv 0jzYlyRxd8G7VHyW0zLx2U4LtCdYV8gG8C7XPP2VGgP7KnEwrhbHjk9l80Lh nS/d68SZW695MG4U7k+cNomD9/8FbLrCor1B8zNlz2bJLpXv12jPz4QbO7bK zuWanydM2zSPTZ+LY9MW6WPNDtnGuu2aXy2fceaT5ZvJOu8rLTDudtojvNhx UJjY8yuNYfdecezeJ3vYf7842L/WPHNfyr/47xvpA/th4QPvt+L445Dmmfsu iTu0y+l7cfRdZYH3qNMB7QnWH2QDeI8VsOm4xsB+QhyMP4pjxxnZDMZTsgfd p8WZK2QxD8bUAjcxRE45IrxmYRtziYXsYWFfJ18UtpDFpuLePqk9f2aBGzvO s7CP/klhBFMRi3lsKmrBselqyZ/r/HwL21hXzGKePu8R7wBv0gUWtmE3uYXc SL4pZYHblNOrKe/yZhCD3OGLNJ8ql2I/NlFL/Nvn704iv6aaIw/x5pMjWqte IEe3U61Bbu6gGuEsDuV28ne+6gXyYFfVC+TmB5VXydHUKtQv1DE9VS+Qg7ur jiB/36UaonMS9pCLyd/g6Ko+9neXP7K64QH5ppv64OghOfSSw8m57Ndb/fYa y+qInlrTSTUO+1Av5Ckf95BvBgkLOTOrF+Dk4FbCkuX7AZID00D18yXbN8nV Clnt8IjkXtMZzhTGx3U2P7eoDwYnkTvJReOlj/z7pLAMU5+9h6uP3hFaxz4j 1c/qg5Gyb5T6AyQ7XHuP1hw5vJFybV/tOTTJ1QFj1SfHjklyNcE46RqvflZD INdHa4bIJvLFW8I3IcnVATM0Bz5y60StJ/dNEUZyKTm1mWoCfAlW3tXXZcMk rR+jdVktMFly1NHU1LXll4naH9zkzGlJriaYLtsYm5rk6oAZSa4OoH+ZRe5/ X3ZPFW6wvCc57uUTOm/eD94R3hswkRuI7T2aO6Y9yHsLklzunyObyKuzhWuu 5rI6YJ78uED96RqbK0xztJ53kLd8l2xYqP3Aukj9LPcvSXK5f6n2Xq4+ulao n+V48iK+IA8v1p4rJZfl/lXCtUb9LKduS3K5f60wfao+usiDG4SJ/LZJ+2zU HLjXa82FFjmD9zSrFZAj9j7ROuzZIl3YQB7bKqzb1J8vLGuEe7uwgnuH+szt VH+ZdGwRbnyc1WJfSO4D2QCOrCaYJdu4B7uFl/y4N8nl6cNJLt/v0z4H1Afr QfU3a/5r4WPdIdn0TQE5ctAp+e4r7Z3l+++Eg/t4VNgZOyJZct8PSS6vH09y ef2E7Dwi3Pu1T5ZLT0ou1W9BchqYzggTRI4soXxuOsdvtcaUwwsrx2X5uIjy MPn7XMvVB6zJ6qesPiH+zlNNwT05I9zk7KKqC4orn4MdLMVVUySWW1PSAit9 7lxJYS2lPnaio5jmzmg/k93IZb/HRutuHdI5LfS5x5z+gy+dr3D6ldN1Fr93 eV/5bnCbUwNvV3V+vd6jfsopvL03WeQY8ksVrS+jNwtZYqKCxW8D4qyMZNBf 0aJO5S7caFFbc08rW7x96KhkURfi+2ss6iH839LidyHvdD3skF6+VVxr8b0C vOX0npcXftpguUH6qRmohagXGKuscfasKGzsWUkY6jq/WfvwzeQWp3pJ+KCK bGesmjDg09vlw19a1EjI41dqpLwk7K4g//DtBbn6SWBCnhoBP90o/9xqUUch Qz2DHmoZvp/cKp2sQYZ5fFlVZ9dZ59wwibrubovajtqFGoY6iG84v3NqksQ3 nF87NfL2by1qNtp886HfOAnZmmqzHhnqo79Y1GfUZr+3qOvQyfcT+k29/UeL Wo429RUy1F98L2Kumbf/bFH70aYeo813GPZgX9a1wA6LWpDvS6xp7uN9NJYv GfC08HZfizlqNXI338KIhTrq0yaXU4NSf/5dMnwrg/8jk09CHll8iU+zmvWs f5Pw3x3yeW0LnXUVL/V0b+8Ufu7jPWq30P61pXOgxVxp8bpqn/2GJ53gulfY 0EtcXCqf4ueOiuX6igfiEB/01V1rrfuJfxro7FpZxFtTjTXUeH+Lt6CR7MvX /aHe49sNbwLxR11F3MFbSU9LtZ+T/mZqn7VbtjPWXOOsZx312F2SwWfEP/u/ kOT0Mnaf2qzlnWis8f5qD1bcYy9xRoxSx7dRzBInjBHLxDmy+IffMFls0a6v +OM3T55ivG0B2baS6aV72VzxS6xW156ddTfAC+6y2pvfTrwb8I5q19A48d5a 2OopdjtJTzvpz9M7w9rsjbhdNnJWxDaxPMDiN2FLxS6/x9rp3nbR2eLrPjp3 fqPxRhDLyPIWNNb7QBsdNaUnex+6aYw7yO+3popj/NJJ7wPvQi3N95BM1s/u L78DszeAdjO9AWBqr/fkIcvJPiSZWpJpoveEs0BHnuzK11vRVzbyjvfTPWmg 8Tz5CX8Rd40kM0T3doB8yP3qX2C+f4H7xvp7FePEM+u+cVpmcS/wXb7OpUbq ucgin4112mQR3wO0Fgz7nJZY3NPDTsstzpyYBzfxfcD5Uou7+b3TSouzBTe/ Z4id495fbXFW5/m+r1rEbnVvP2mRQ24WFvZd5XR9Gme+2+lRi/dnlPMb0jj3 W5wPtsiNRbz9hkXuHeT0mcWbNsn5RIs7j46d0nO+y0+xyI0XeHuqRQ5816lM Gm8cdlybhi2jnW5M43yvcf6dRSzg18vT8O0Ip6vSiCP4txZtfHZlGn4D+w+6 t1d4+5BFHD3j/Lo0zgU/VUjDV5c5P2gR4+x/QncM2aM6x2edV0rjPp/j/GWd TylvT7eoNS7x9tsWtUZxb39kURNw/vPk95I+PseiDijt7bkWdclF3v7Yol55 Cn+ncceGenuMxRv4gvOXLN7VBc7nW9RuRV12lkXts9hpkc6Zda9oLefzgc7o mM6ec9/itMuiftjsfKtFDjzltNYiFrdZzDH+o9Mai1i/zfedrX3POK2ziEtq 0q8s8tcXzj+3yH97nb60yHOM7dD4dt0n7tJG5y9a5OoNTustapDHLezH9pEW 94O7Qc17dRrvPbr3SD9nddLivDirmTqvwj5+bho5dYbOjPP61ClNIy9hB/+M w5ZyzvdbvM/EX/k0YvAtnT3nPtkiNogL4rhsGrE8TOtZSyx+aBGP+K9iGj58 zSJWGX8HjGnUyFWcV00jxz/vNM4i7wzXfeWucke+trgnb1rEG7FmafgLX3HX SqRx33hveHd4r2bp/Di7CRZxToy/Z/FmcVeftogfYud1i3eEN2SaRTwTy5Wd n7Z4n7nLF6dxn7k7N6Vxf7jXF6Zxt5/TGuSJj2JpxMhPrJrDxw== "]], Polygon[CompressedData[" 1:eJwtk1lvjVEUhr+zvhIhhGiUolqatqq0aBoRERExpEQUVZTDEbf4EW7MM5UQ IsQ8hiBuavYDjDHEkJjneeZ5s9bFk3evb+2zzxpLcosbFlmSJOMgD+5h3IWp mSSZLEeaJFvRHPZY9DE8gSkwnW9V+Fs4z+c8Bq3E3oLOwx6NVmBvRrPYo9C+ 2BvQZuzh6B04CTNgEpyDizAQyqGM+5vQudwfiZZib0TnYI9AD0NnvvVHi+E+ PDCPfRp3CvGt4dzEeQh6HLrxbYBigYPQEbsC7QNFnNehs7hfh+6H9qnHUgSr 4BrUQG9I8Rks4P547KPQFbsSLYFbsD1yq4fu+C6hjRnPuRh7PTobexjaC3st OhO7Fl0OV6EaesAjeBi5qQcr4AJU6S7fPqKfzGurNwfxXhtoVA0gw3mneqc3 4Dzsirf1xm6o485CtIXf/0X/mfdePW6LLw8KzN9cCrdhIjTgb0VXq5+cS9Hn 8EK+yFm93Re1U4+fwdOYJd2p5e2V8d85dGjqOSq3bMS2By00j3Ew9jJ0Cf5m 9QW7HZSphvAb/pjPpmZSvatO3VcTtVWNmqLGN+C6eS8nwI6omWqlHqt2V/Sb qOG26HF91OBs5KDYe8KZyCEbMZ+OmBWraljA+UTMYj/4DF/MZ1s78h39Yb47 2oGv6DfzXdAOKPebEatqkM97x2L2NONv4Z35LGumOuE/ZD7r2pkO2AfMZ1s7 8BremM+edka13Bu5qKYv4ZX5LqnHl9FT5r1WTX7CL/Pd18534fdHzHdTO/Ee PpjPunbsP7qCel8= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm811Ma/nHeLyPZRctMaQYZMQvDaC9tUimF66LSTaHltt6aW3MzUZgs bUqZTNIgzSDRYhvao2QJlbmlLIVQVG4q8jzzPPdz++P5vO/3fM8533PO+5zn fX+/2gX9OxUemcvlNh6RyyXYiyOXewu4HA/nwdYFfg28iucGwGXAMqAh0AZY ATRK6r8KaAy0Bd4AmgDtgDVAU6A9sBZoBlwBvA1cCnQA3gWaAx2B94AWwJXA eKAzkAe8AMwA7gdeAmYC44BXgInABOBa978K+ABoCXQC8t12NbAV2AIUAJM8 9/XADfY5RxdbjtsIbACuAx5w327AjYeN627LcZuAUqArMNl9ewA3HTaupy3H PQRMA3oBjwNT3P8J4EGPmw1M9TjGZAnsYu/7Pu+rDtrPBubB/xXsZ7ALgIFA X6AfMAToDwwA/gIMdluR29h3F7ATGOS2Ph7/FbADKASeBJ7yWosPm2MfUAYM B0YBfwVKgDHA39y2B9gNDAVGA7f5HfsO87oOAgeAkcBvsZdzgOfh52APwd6e xBPyhbw5A+3VgbvhzwWeAVol8bY1UD+Jt+QveUzekr/kMXlL/pLH5C35Sx6T t+QveUzekr/kMXlL/pLH5C35Sx7z23d4T+Qe+Usek7PkKXlJzpKn5GJNrPf0 0NmUeN/F7kfu5ZkT0xx3PpNj5Bz5SK7l+5lc6pYquMjnUvtd/I486pEq+Mfn LfbZ79Mk/pFznyfxj5z7Iol/08yDgebF2Y4J2xgfco0c6+P35NkO92f7PL+7 2e/ImcGO/RifG3lX5DGDfSbD3LfYz7vtF/kdeTPC70r8XGa/2O/4jdv8bpSf D9gv8bvRjl+tUGz+kcS1Me53h2N8V1Lc7vaYAV7LEMc13/FbbJ9381T0PwV4 GP5vrKm8t48k6VlnY5zneDRJ+/L8PMHz0E60PytJvxj/fyVpE+P8WJLulGvO g/Z7Op5sq+G1jAX+naRB5FoV75t7rgp/uve8CPgnUC/pno31OXDtM7x2coe6 MMX7mOm1T/J+8rzGWV7zZK+7m8c85nUeHZqnnIuPu70S2o+JCl4+4b1URtux UcHR2d5r7ZAuTPeZzUk686NCe+Z+nwb+4/bxjkdn82OE+TLH/diHukItoaaQ y+R0X4N3gTynDj8Hewsw3+30X0vSI2oQtXl7kpY+m6RZ1KvnPCfvyJtJGtTe Z/my478w6a7d6vle83q4tv96nn7uw/mpn/Pdv4HH1Pc3Fzmm5CP5Sl69nqSJ 1EHmmaVJuY9aucxzLLffxna59/ULzLMNtnfSfEs8ltq6wnOstH+57UrPs8rf ZvvqJC0u11/61OR8z8s5m/p8mvjdqlSh4au9/pOxniNC+YI5caHXtsbny/m3 OR5sp45T36nt79jvYMtn6j71lPrb1Xaj/XVJ+aCj7TqPbe5nzs2c9b77MEes T8oTgbVt9jzr/a6T97nB+2YOest8aOG5ODfv34tJd+5Dr4fjPk6qdVjnUN9L 7dNusr/ZflfPvdZ7PCvEj3p+V+p9c+7/uY3jPvI8KfRtfjcLfbvA3/8k6a7x Tm6xv8BnXui2rW4v8HN3x2Ct40x9+jLpflNHqaf3wv/JMWZ8mWtYo7Bu+do+ 5z8u9Fzotm/c5wS0702qQwZ6/CBjp9uK7A+13WWf9jv7zDHMScONMrexzvne bXv9zP7fevwgj9vjPseH3rF9qc+U53nQ++Qef0iqsdj/xNDzcLftT6qXCOY2 5jXqAXWhtde1z+9Huc/ttgft/2h/pJ8PuS8ta687k3IEn+/0N8rcn++PdJ+T QnOxnfcv5xgN9Z55ruQRed/VPCJvGH/qOnWe2k8tp7ZPddx4Rjwf1iSVrfnb HWPGlzUM8wdzBmuYSs4XhY5vP8eNsedaHjafxnqPVVyPEczxox1DnvVwvz/N OXK/98k9sq2K917Vdd3fPUdV1wrVnY/ucZ9qh+VXvmM+ZV7+pXNzDde07M+2 GvZ5n5jDenlcDa+f+Yk6Tg3n3aLe9fYaano9XHdN75G2ltsXuj/vJdd0htdM W9vfpSacGeJTNe+LY6ln1CLqWPlvJ9ah/O1FHaNWFVOHM+X7ezi3994c9o+Z 8uNM+H/IlANHwD86U01wLmwf84l9j3P/02C7Od/UgX+r78Op8E/JxIVerLUy xbyIeTlUi/C3Leuwa+C34Zln0pf34b8TykPDYA+E6pW25FGo3hnC+iFUK/we 45Z5nvPh93O+yQMiE69Xw18ZypEno22a49Iy9Ex/OvxWmWqRQfCbZaq3WvGM XQ9diLYTMuVx1hSsv3kOjAfjwpw+Bnai43IfbNtM9Usj2AesmbNgT8oU8xah eTlnbdie1qB7YZtk5iFs9Ux3rhps1Ux36y70mWRunIm2m62nE2Cb+i6M5/0O 1Vs10aeHtXgs3/secb3NvOa3YdeEaoJXYF8IaRhjda7Pmb81WNNwzaxr6PM8 WGvUdZ/esOdkuqOF8H+XSZv6AnUz6ensUFwZ02dh24dqwJG8f6Hft7fAnpVJ A7gG8oZ37DLgkkzaNNd3g3GY57j09V3kehY7PuzDfEp+s0Ys71vHcVzgvZXH lz716kPYD0I1zXLYpaG9/gDbMVRfd4b9KaSp18NWyqQTlTPdK37zePiPhs6s KfyGmfLoEp5xqI4sgO0eyrcfcb5QnfQp7JZQjdAYtixUn5yYiU/k0jewX4bq nn2we0K1TAfYFaGc1gT22Ez17RfwPwvVVTfCnp5Jyw/Bvyr0W+Em2FqZtH83 /J0hvcnQdm3oNwR5PdncHgzbOlO9zv019h73Ao1CGrUe9s+h+pDnusFnu4j7 CP2fxLV/7/X/yL2G6psrQ+fOM98f0hTqSS6TXlArjoF/XagGGhfSMurYi7AX hOrzdiH+kXtPwT4dquEGhPSR2kjuv2T+M24XZIpd/9D94d2ZS96F/g+bD7sg 9DvhihCnyef/x9bxzQ+dHc/t6tBZ85zrwW4O1ZaMyXbHhef0ns/qEtiNoZp5 B2yDUH3LmH/luF8E+0aont8GWz9UT9J+Yj/h+9eEas/S0Lyck1zbZL4xzt86 1rtgG4ZqZn7zc3+XbV+7/ahMOYb55U+8c6HfI+Tsx+Yt4/+dObA1tGfud15I 06nnc2CfDP3XyLvL+049oc5dGtK6lvjWI6HfbRfBLwn97pnC+TLpFN/PcB9q /+sh/acONbAWdQEeCv32bZeJu+Qt225we2vYizPVQwNDukxNXhXaJ/dIvVwb 0swLGf/wf16ZtJg6/GYoNowL89u6UI5jnjk/lGumhvIZ9/tqaC7O827of2H+ LmM+uT+UU34GMjHlJA== "]], Polygon[CompressedData[" 1:eJwtlXmwl1Mcxn/d8z2tWpCIyJU1e2M3SMstcVUX2bcsJRT+MMbYl5ZBsrVo s8UoJZIiEdnSJKTJmmnRQkyihGp8nnnOH889n+e8731/Z/ku1X0H1Q2sqlQq Q1GgSfxpnSuVdalSGY3G4y9FI+GpaBh8V5hfRjW8ewS+Bn4FdYDHhllz98EH 8c4/cAv4KLgzY3/8DHQNvC9zG+E/0D346mxuBt+P2uO343eGH0CH4+sx7oI6 wF0Yr+P5TPQC3JK51fAo/Q/clbkB8Cx0N7wPc7/BTeF70f74zfjm8CXoUTQp ec+3wtvRd3DS76ADeX9r8p764dvh/0r+Rj34POae1FrQ9fAhzG1L3sPR+EfQ ZPhx1BHuxPNWjIPxVzHujd+QvMYG8IXMPZW8ptPhzsy1ZhyG/4+xN3oCfh7d AY9AU+D6jDeiw7IvV2d2DFwTvrsGjGPQscw1LGf0IuNe+PXwGHQ5fjf8z/Ca 5LsdpT2U+74NTjxfDgf8qu4YPYufgzrBXXjehvEh/J2MrbK/pd+8HTXCr8Rn rQsdiSbi30r+7Svwa5PXMAU+Cw2Hn0Gfw4vQGfAn6Gt4KVoAn4kWw1+En/VA S+Cvwqx3voGXhd9diD6DF6KPkr+ptUxFbyev6R14LnoX7obehz9A8+Du6EP9 r+bgPmg+3BPNT55rmx3jiu3f8ftlx6BibxP+4OyYV6z/i5+mXFJMJq/hgOyc Ui5twTfB75SdS/0U03Cz7FxQji3gvU/Da9OeGvLsYvwqeAWqhV8Pn+UINA9+ L7w37WmO9l7yW3v+Ef5BdwAvQsvhn8Jci1bCK8K8WDkNb0S94KVogs4ezYan K8Z1DmhJ8jur4NXh/z0brYPXoy/hnmgtvCb8THOnsp9T0MNwS+ar4PO1Jq0V bYL/DP92b/Stcjl819rDm/Ab6DHdbXLszgyzYvgCuH52LisHe+le0HPJObcF 3hz+9jL0N7w1zHXoXLiSnZuqCdvw56DvtRZ0aHZNUy3bgd89u0Y1LTG/J/5E 3XE4J0+GT8quFVW6J3hcOBenocG6a+baMo7FD1Vu4KsZxyXXgoHh/1VN2BHO 4Shr+jhc81KJ2cbZNaV+iRnVshvKWlXTIjuHczlz3e0taELyHb8ETw7nsnJ2 YjgGdPevJdeSHnyjXakps8I1UrVxbvLdzA6z7qgufIY6O9Xki8IxrVhWDbkM 3xc9nVwDlTvTw7VIOdSnxIhiQzVrhmIpHPu60yt1XuiX5G+otvcvuaYavwf+ eNQ43COHKxeyz141XWc9JFzrqsveRjK2D+/xuOwepd7UiHHX7JqsWqyepW93 Cz/Tb5yQ3ZPVi5uEY6F7mBUTbbJrtmq11lyLHx2uPfpN9eau2WetHFZvubrU HvUY9d5rS+1RD1ZvG1Bqj3qcYunBcK9RTDXHt8jupeq56kU3ldhST1Ktv5lx fHLNPw3fMTs3NadeN6jEpnreBvRrOLdVA/4HXwocCA== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWGfYlcUVvIh71t57BAUFGxpsxG6MSTShyQeoFIHwoRSRD2kiIEV6rxpM SAKo0WBQFBuWiGikSRFFsIAYRAhoBKIYS0xmnpn73PtjnrPvufvunt1zZnbv W6tjVUWP/QqFwhvVCoXqsCdGobAlFQovAt8Cy4E5wF/g75ALhX+h/UegCdAM +DfQFKgArkOfr2BvAP4LrAAeBP4HrAQeAqqhz5uwDwOHor0O9jEgo70G9lGg OtqrYP8M/AdYCswGEvyrYR8B5gItgA7AwfC/BTsPOBDttYwX6A3cBnQGDod/ PuxfgV7Arf6tC9AGaAtUAjcCNwGdbG92X9pWfoe2NdDV790CdLNtB9xu2x64 02NxjB7Ab4COwOOOvbt9XEtL4A77i/1aOqaejo9jVfm3Sq+ttdfQx89c0yRg GHAv0M+xMsa7bBnj3Z6fcw7yuJxngH2M9wn36Q8ciz38EPY54B735fqGeE+5 30Nt+3h+2r7AQI/HOYY7JsaywGOPAEa6zbgGe+xefr+L1zDKvzPGMR6XsU/2 Wjn2OMfHMcbbMsYJtoxxoi1j3AA86Rg2Ak85lveAhZ7zI2CRx+AePAuMBd4H ngZGGwMc0wfAM45xrGNkTJuB5x3XJu/lOMfe1/tC/r3gGF8GXvL6fg/cD/wW WAxMBWYANZGXGsA0tJcA091nptvsM6vMVxd96wAPJPGXPCafyVdylPX2RRLX yTtymvwmz2vjvVrAfWg3CnH+T0mcJl/JE2oGec/aJXepH6zv3cDfgClJekAN IMdY76y37n6Htc36px6Qx6xtcpr8Jt/IdWoG+Ub9IKfbOe5Kv1/kcGUqcbhT KvGzm8dlXZEzRW6zH7XnkVTieWf/Ru151L4i54sa0NVjfZyknZO8hh5e2z3O 81j37ed8MybWeU/P3cvPnK+3nzl/Hz8XOdzP+0Uu9PccA/xc5OEQj8u5BzmW ge7XxfNz3Cr/PtA+1uIwz80xilwc7LEqPW5VKvF8qPe9yvMUuTfOMZFDIz33 aD9zvjF+HuS9GZNKXB2fSlyd4Hkm+fmYEMfIwyNDvF3o2Ce7H/douH1HhHj+ lPeLsZDvR4c4TK4eFeI8+czxzg31Py7EVfL2hJAWkJ+vJfGNnDwplHty9ZWk Oic/T4Z/T1Ltv5rE2+kGuUhOkk9sz/BY5PnvgO+AZUln3d+Tzt1mfmeW+5H3 MzwXOT3L45JH5CA5Qe7NsY/jzbaPuXnO+/625+ng52edC9Y5uUbekEfkeCuD HGltkBdtDHK2rd8hN9vbznf7naTzr7vneMY1MNL5YV7WJ509/b0G6hI5/W7S mTHCzw87rtHO2yhjocdjHPO8jvHO4TjHu8bxTnQ+WWOsmxft2wlsdS53AZ+k ku7SR72d7JzzveND+r7I+V3snO5w7un7DNiWSnWzxPncnlQ3U53n15M0uXFI Z99w3pY6dz8PjbvNcS/y+s4Oafcy53y5886crPV+cC9Xlu3fm2W5XVWW29XO LffvrbJaWOfcMoesG9bMeSG+kDdPOk8jnMN3nOu5jquFc7je+WWdrnCemf8N frcexjvHvGU+Nzqn9eH7cRlX33POWUfvuxYuwu8XlmkELWutAXwXl91jaFnv l8D3kzKeb3KdXAbfpWV53ex9vgK+y8u04CPn4VPgH0lnHOtoi2vpp+h7dZlG fOyaYR1tdf+r8PuVvn+zdj5xPVwD31732eo5pvj37e7DOtjhGuP8/3Qf1tRO z8Ma3OWxqV2sxSXOCWtmtvtRq1jbe92eYrvHft7veSdoavAOwVr90u0KWz43 8xzbHNsFWMv51tx9Hqd50l3ja8fAGtw/VIOs929SqZa/L6uXH1KplguhWmbN RpT4fUCUav+gUC2TkzV8h+H96kehnLDGDwnVODmxX4gTrPfDQhp2Sui+Nc17 wXGmeq+o9bvtq+nxfxZ6Z5rXus/7w3vU6b6DsV8t6zif6/g8mGk/faeF3mHf X4Sei+/Vdh/yincO8nGWx/lDEn/II/KSd78z7T8j9Fycs679vwz9Rj/Xcarn 4nlEfWG9cIyz3J9naz3z9DHYyqx64rl8njVhJezS0Ppfgb0zpHMLGJfvkI/D 3oJ3G1LvgCWhGpoI29t95sBOCJ2HQ2AfCtV6C9gVoVriGX2FuUlNvsz85TM5 Sx6T3+Q7NYD/axpYE3gHqG9t4bl/iTWB71MHqA3kLrlc5Dc5Sw1gHOQq+cL/ 0VeZy2OpLVl7xvvGBa7/0bAXZdXBCPIia69vhL0J+FXIDg617wVuzuL0ZMYY 0t/psC2zeM+9aZ21PyPRbpXF+46wD+K5CdAG7Wawv2aswGFZGj0V7SOzdLkB 7BjXQU/g3CyetId9IKQ9w8iJkC6cCv8pWfeyz5O0hRozDc/HZJ0HF8KOcu3W Q/ucrHtTfdjh5kk7tO8P6Rw1mxpOXee41HT6mCdqOHX9NtjLs86e+dyHkJYc lzU35+UedArtw62wl2bxoTNwZdZZ8gQwNMTjrrDXZM3dBbg6S7MWA01DZzP3 eLzrkDmpDOWlAnZ2SPeOyNpf7m1z9g1x/9Cs/DF3h6DdN3SWHov2QPP06Kx8 MBeHo31X6Cw9Cu27Q+dnN9hrs/aiCmicVZfMbdus/PYAGmbVKO8Qjcwj/m9r ZL6wX8Oy3xvbzxxeG9LuJvazD3PG84w82GONo74thB3k+FnH1CnqBrnEPeYZ zlqnvlBbrg/FwfPkDtZ4Fj9v57tZ/OzOPlncY413DNX5POebuZ4b4n9zr+t6 r5Hfq+a5D/nGHD5tHb7O/e9zzbHeeoW0ibr0WiiXzONWzhn6jhXom7K+XR0A e2DW2dA/lCfm6CTYE7P072tgX+j71k5gV+hc6RfKPfPeh3Uauh8dDN9BWd+r vgG+DZ1hXwJfhc427jFrhft8A7mclacBofpgbXyA9oeh83ILcxU6LzfDbgp9 nzsBfY/P0u/TYU/L0ry1wJrQt7eTyfssXawJWyNLw2rD1srSzjNhz8jS3bqw dbJ0dy+wJ/Td7nPgs9C3PWr5AueoGvoWsr7hfQHsDp395Nar5td6cij0PfIH 5iF0lvM8WR46U9aRT6G7wsyQTlGjloW4R941h68i6+68ClgdunPwnHk9dNbs gN0e+k5ZHX33z7oTfA98F/q+eDZ8Z2Vp/Dbg09D9YyOwIXRO/h89nOQK "]], Polygon[CompressedData[" 1:eJwtlnm0V1McxX+93v0eSSklDU+zpEGlQVE0E+L1IkOFXuahsMyWITNr8Y+Z aI5INM+GZczQXOaxOZKSSlQ+e+37x157f+85595zvuc73EblI8tGFBUKhdGg GNwShUKVVCisygqFaeBP7D/Aq+hieDhjU/QMezt4H30TeAX9EbgNXY05q9Fv gbHY48JjA0AZY2OwN6N7w6/p3eB37G3gM/TnYDd6IDie+aOwd6BL4LXga/Av 9ngwHD0JbEW/C55G3wu2oH8FNVl/J/bb6LWgOvbt4b2tAUvRX4Cx6D3gUvQh zKkKr8Q+D/4yPKYzX4aeDH7T2UFV5t4a9pXO/IJ8ATah14O70LWSvz0dPKdv g53oHnCBsUvgFdiV4QlgGM/6w2eDoeAf7QksY04pfC7jp8Ol2C/DT4XPuhHs ztdoboL3gb1gSuZ3FLO2CLyBfRj2PWGfaX0/+RVcDJZjV9K9gMHyAXZFeDU4 HyzB3geWoQeBT9B75XP0hbpD9MHM7zoADs3fuQm+SD5HV4CzZJ/L11Xgg2A/ eD3zmh1gCFiKncHPhs+ss67L7Ov7w3cvn2uv28Oxqj1X4v0JTM18p3eAGsl3 r5joLF+EY7kFPBp04tmxcF/wEmiP3QTuo3Ogh8FvMv/wPBaeD9+1YuJFdFvm NIB7ggdAG+z64We664rJvtedT4dngI/RYzLrwYyfkT97FO6I3Sy8J+XOQ+HY Uw49jD6B8cbhPf4N/lJeMRbwk6A8OZb0PvlyV3hMPlXuPBP2pXJId7lSMZf5 ThWL48O5qJhcAj4FZZlztAvjM8Ox3VIxiz0SPhV0BwOwzwEbGO+FfV84p0vy HGiNfge9CF1PPse+Fj4RdA7XhtLktaoRd8M3hOcuzuzbB9ENI/cxdk/QAV0T 9EDPhWczt732hH0V3E5+0z6x58CzMj87OnmOxmqARujeoBP6SNALPQ+ew/yO 4W9dHX63vqm514THtOYo7JNAK3Q10B+9GF6Y2Ue6u0fgpuE7PA77LHAKug44 E70IXsD8booBxQboiq4dnjsiPKY17ZJjtk/ukyHY0/SecEz1w14Iz+d9J4dr yRPh2FNN6ZCcA33zPZWDQcm1QTXiGNUenUlnC+vr4C7hZ6dhL4DnZfkz7MvD sSEfaO/Xh7+tM9TTWUFb9BG6d/Tj8gNoDr4K56hyUzVfufBYPqacaJIcM4qV Wjo3ej48N3MMdcW+Am6tuNN3sWfBMzI/q5M8R2PVwQqwJlzbxmXuDcvDtU09 Yj16c7h2TcLeAm8L18bJmXvlznCtUs/8Fv4R7EdPUI0Ir9HconCu7gnXauXs T/C6cO2cmDk2S5J9oxidDddN3utM7KHJOa7c1h1/CD4I99pd6skaC2vl7AXo n8EB9VqwKj+zzqqcV+3eAArhGq5avTW8V9Vs+a52cizLhxvDPpEvtOYbcHO4 N+sfQrW3cnKtVA1WL/ov3FvUk26E39O+M/9DTA3XUNVO9XzVjoHJ/wqqIS2T a4xqS10wMdxT1UvV89WbvtM3MvcoxdaV2G3CMdYt2YfynZ59H74j3Y3WqBa1 Sn63apJiqXFy7iumlIvNk3NPOflL+M50V/Kpemsk9zL1WPWyCsm9XT1Nudcs OXeUg8qVpsmxq5xRbWiRnPuqEapd9ZNrkWqYak/D5NqmGvRD+E51l4qx/wG7 hEJ/ "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt02dbzWEcwPFzUIhCREYlIyFlZldkrwdegcsLyEsxsrOFsmd2RpJE2SMj s7L3CMXnXHnwvT6/3/2/n537JC5cND8nGAgEypWs0BymtopUJ6Vombr4GKMP 5glcw4nsqm76aM/gWmYyVt31yd6DeezJl5zEK0zgXsZzH3uzkv24n315gP1Z xUE8zIE8wsG8zqE8yjQe4zDe4Age53Ce4EjeYjpPcxSLOZp3OI4lHMsL/KHx 5lI+03Ot1hO903u90nmNce8cb2uOeRU364zm2s/ylG5qtn0l7+ueTmqWsxWs 0TTzEKUqRUXOrmmmeTm/65u+hn43ZwOUa96kg0qyH+JjPdJTPdRbbdQ839/w hepVp6nONnAKv7APE5Wt9fbJ/Mw49lKW1tnv6qpea49qtVsPVKHO7u0KvSXu ZDQvsyMLGcUCdgg2v8NI7mA7bmd7XmIEt7EN80NvlGWs1lZd1BbNcD5dS83h bK2WClMrLQk0P/SgGo1/1aTF+q0/+qlfalAL9xb8/3/8A3+uZ7U= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{336, 335, 339, 740, 731, 732, 730, 734, 733, 645, 736, 737, 735, 739, 738, 646, 742, 743, 741, 745, 744, 647, 708, 792, 692, 729, 669, 727, 668, 728, 644, 338, 337, 336}], Line[CompressedData[" 1:eJwl0ulSjnEcx+H7KRVRCmWyRFLWbCHH4RA6AB2ADkD2bFlm7Cpr0ZSskQkp JHIG3mTNEhK6ftOLz1z/7/3i+d8zz11SXbN1WypJkk5tT0uSauMkjylJT5LX /K9/qrCPcjUH+VfjWmU3cCVf8Y/GtMI+wuUc4G/90jL7MMv5kj81qjL7EJfy BX/ou0rtg1zC5/ymryqxD3Ax+zmiL1pk17OYffysT1po7+cCPuNHfdB8ex/n sZfvNawiey8fqENVdjt79FinlfLsFI9rh9LsdL1xHtJb1Wm9Zzd5RlOcM5Wh NXri2U5tcD7Lh+rWLlV61slzuqDN9nme0G5ttG+xUVnOTZzKdVqrp/YebXJu 5iPd0Rb7NrN5kdN4idN5lzm8zBm8wlzeYx6vciavMZ/3OZstnMVWzmEXC3md BbzBuWyL/1SZ8c7xvnF/vEvcH3fG/XFn3BN3xj3x23FP/Hb8njLiG/G9vtOQ etSuRjWoTrWqSU1+2xM+jVuy "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl08VTlVEAxuGDF6ytLhTZOOPWLqQUFbFFbERn5A/QGewY9y6MlToGuLAL u7u7we4W7G6fMy6e+d1z45t73ztf05JxhWOTQgiVNEsOoVMihDKae5ybEkKp 9qaMcpaR5/kW2kOXaL6O1746R/vobG3NTnaxjR1spxUVbGI9G9lAS9awllXx OqyO12UdE9hCPzbTn61M5AcFfGcgP5lM8F0G61+GkOQ8VWvrcE3REVpHp+tc ilnEKJYyk1nx99LO+xrQkOXOHTRfO2ojGrPCOV17xj01lSasdE7TXjqGEkYz jxnU99pIratFWk+nabIO01o6VBM6Rf8wiF8U8ptJnGAARznOsbitzyyM2+n8 +J/qAl1MG/awl93sZx9tOcghDnCEw3EDTnGak5zlDO05zwXOcYmLcSOucJXL VHItbsZ1blDFLW7G7bjDXW5zn3txSx7yiAc84TEZPOM5T3nJCzKppoZXvOE1 WbzjPW/5yAey+cwXPvGNr+TEfd0TeXSnG13JpQudySGbLDLJSPy/n/4B7k10 +w== "]], Line[CompressedData[" 1:eJwl0UkvQ1EAhuEjdGUmWBlqpoghNqbSVsLWHyCm0tJLLCxEiqJS3ZgWlvij HrF485zv5uRsbnw32irUhBByStaFkK0NIa9IF7rUlYoqqayK2t2t8oPvWo6F sKIlrSqpqu/nyjin+KayNu0nPutMaXuNr3rQhv3IiiKl/t7kixacFzWlgj3B U07yngmecIx5jrPEUeY4zGOO8I5DPOIAsxzkLft5yD4eMM4b9nKf3dxjD4vs 4g47uM1OXnOen2zjOlv5wxY2a04Ze5bfbGKjZpS2p/nFBtbH/v/RLxxJJjs= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1359, 1358, 1476, 1615, 1728, 1649, 1727, 1650, 1729, 1675, 1882, 1676, 1697, 1696, 1618, 1731, 1732, 1730, 1734, 1733, 1619, 1736, 1737, 1735, 1739, 1738, 1620, 1698, 1889, 1699, 1890, 1678, 1885, 1710, 1884, 1617, 1883, 1714, 1713, 1712, 1651, 1677, 1876, 1616, 1360, 1359}], Line[CompressedData[" 1:eJwl0llTz1EAx+GT/IuULTuhUrLdC9mT/cJMsrRhrFFdoJCrXkB4FzFdyVLk FSBly1bIlmwhksQz4+KZz/me39Vv5iTvLttSGhVCaKQkEkIRdeyKCSEuNoQR xDKcYRS7j2gMQxhKNEXug0bxx/kvgxTymwH66OcXBfzgJ9/o5Tv59PCVT3zh Mzv5wEe66OY9O3jLO17xhtds5yWddPCC52zjGe085ilPyOMe92nhLq1spZk7 3OQ2t8iljvMU++da3aMXdKE+1DYecJRH1JDg2zGN1+M6Us/oaK3QUVqpY/Ss JuoJHasndZye0wl6SsdrlV4k03mvLtKJTKLeXqz7dIlOZgqX7Czdr0t1KtO4 bC/TA7pck5jOFXuFHtSVOoOZXLVX6SFdrcmk0GBna4mu0VRm0Wjn6GFdq2mk c81ep0d0vc4mg+v2Bi3VjTqHuTTZm7RMN+s85nPDXqDlepomb7mGaioi/9/4 P0XmYIc= "]], Line[{1475, 1430, 1434, 1435, 1436, 1437, 1577, 1674, 1847, 1673, 1845, 1672, 1846, 1692, 1844, 1671, 1842, 1670, 1843, 1691, 1841, 1668, 1839, 1667, 1840, 1690, 1708, 1665, 1838, 1664, 1711, 1687, 1700, 1663, 1684, 1662, 1879, 1878, 1634, 1877, 1683, 1693, 1686, 1886, 1685, 1701, 1635, 1880, 1666, 1694, 1689, 1887, 1688, 1702, 1636, 1881, 1669, 1695, 1874, 1875, 1871, 1873, 1872, 1703, 1704, 1517, 1475}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.47499999999999987` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.47499999999999987` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdQVkmzuM2KOSfWtGDGsKgYFjnqmkVUDKuiqyK6RsyYcw4YwLSKyqqo i6iYM68REYyIknMQkJzMer1V79On6ljf5Xr3+7669/fzL+qpnh66zztnpntm +tSznWY9rlCBAgXaFS9Q4D//Llv4qXnt1aG6MbdX6kaaeypdveyfew5+Jlyu kNfrNZbewkNrL6h4+sJRYfSH9wgPvdH5lujD6MPow+gXOfEm0HrcA9GH0YfR h9H/1aDkpJldn4k+jD6MPoy+ybVqE34eEiT6MPow+jD6BafVH19kQrjow+jD 6MPe8QXDR8ScU15trXEmwTxaGTHVtZ7BE1/h5OxRyTN2PRducDr9l0jvcGH0 B0+q+5Pf3VjRh9GHaa/7paHnKasEaQ/THqZ941rNW2wPTJT2MHLnvNYn541+ Jfzx8c/NRialKjEuZit+nxqoi3D4s0yLsbsVS13fATkLHwnz/GC39SPMW3W4 Jtz6xPqjJco6KVN6msQnZkQqdT3L++x1vSWM3PWjS+bQ5TGKZZXdHa8ufSry df4NdzU6FfxV+5KBh6Z3LBkvcvSRz/Z0T6/n/FI4Yv1p+2I/JEv/WnnPsZdS kw+niH2053nBtD9jrpvyuFm6jBf8ZbzAjBeY56v1Rzt+kPN7wowfrT7jg+cB I2c8wPz+PA8YOeOB5wEjZ3x4bQ6abX3JW2nXadZmxStZWbRl0uJhoxx11eul rGg8+IhSaUBcschxfykXQo+5OXhEKO/6THike/lIWfUs3erh/CSRD13z0XLn xjR5PvwehQ9tM/OtcF05WGNBGeMeqfL/6Q95mkfew9OFUsR/nmfgzY2pha+G Kt17hD6tExmt/LRpT1CX+cE6k5Pug02mT1ecT/g33TTmuXDuo5JLn/d6Knwy avXhjna+wjLf6HmGUV7vJ61vCU948CDmbslzwrwPJRsfuJo+6oqMB5jnZeaw 7XoDq/PCkaEely/N0Il+i3fJwesH3hN9mPZ36sYNd/O9I7znWeZQ+7D7op/S ovArx6tPRB+mvf2az0Papj0SPuiypkmBAv6ifyumfNKQh89FH6Z9aQfHv+LW BQjP7be90f0KgaK/c0ftl3UiQ0Qfpn10o71HT+wJFrYsdLCBk1GYzD+0h5l/ mY+Qw8j5/zDjhfHD+NWOT3hvkQ/OOzc+E24fe7tT30OBwowvLWvnM+Yr3meY /jzrxvQvMiFO2M5x3FYHj3ixl/eB58P6DbMew6yvMOslzPoH83xErh+/2M/8 wfOo+S7xcWJGgsjxF/9g/OH9Y770XqtLWWoZb8F8CTM+YNov85r1cfr4CJlf YdrDzB8w8ymMfTDzqZajzXw8PUZFKyWbhqV7Xg75aj229buxwDYzQUnxsQpw TVLnT7vFT6902OPz1Xq63antsSWNvsxvW+cWMlp/X3k4bophaLNXyqKba27P 6xRoUW5V0Jm0SRuEQwa/Gj3L50/hgNBtj5ZvvyjcycHj2Mim14W3D7SL9U+9 K+zrOuNJp8s+wvvDdNPOlHgi3GFl9/ET7Z8Kz97ycOrCms+Fy5sNsjNd9kK4 Z5fQyV1NQoTjEsfYvt8WKlw7N3FiGYtI4fCHbVvGDIgSfjvwfatXDWOEexy1 OOUdovLYZoXOPvaMEz69rFvz42PjlWOrrLMtp4bJeLoxYO/ssobBSq1ZvTaM DotTSp4uEj77daDydnNTo9+d4kX/YTED03PtXwobDrc8sSVF5bZR5U7vvpUk vLrVQJPZc5KVBU32pNWfHCDxQUZdK7MKPz5RetQ64Oh1Sm3/5+WqLRf3SRFO Lz38+NBPKTLeHnWyuZL0Mln50KvhvoSJjyR+aHekcfPBS24pmVOs+rkcSFFM in06cnLVTaXiirONop+o/ZVyrnVqTECa8LCE0U06rk1XgkZkXate5pDEH623 Lywyv1a8F/EF7WV+0LPMD3qW+UHPMj/oWeYHPTM/sP5WfNR0Ws8v7wty1lsr 49Xmvh0iJT5Bro1PTNcU8n26UP29mV9gbXzSe+iKJ+VLqc9fG580zz5sYfCH +vyITypX2FH2+qFQZdm8HfdG/BCrGLcfZrtoRajS8/3khZXaxCqJC++XKDfw Sx5RZ5RbsFGi4r6us8e8/f5K+zYe7j5LEtXnk5JyODLaXTHtNHbH2AwP8T9n zLh5w0Pdvnoe3V7OzZkXG6X47JvnPrNghJK4NqXs7SbRyqas1Ds74yKUPk3X haT1j1Ku5FTy8o4NVwzrvase0i1amTmvaZ8M6xfK4TfGtrp1CUqW7mbEncEX lFN3zcvULpamTOmXVm5pqpo/vK1/NvT8nR06/v9O/wldR7meUJymDbBafD5N sZ9U/73XQU+Jr7CP3+dgYOI4lyvXlZzKf71sMyhV5KxnxaqWqfl400WJ91iP Sj3d02CtXaqyO7x5uwUPw5SMw/s/12odowyxLVvOr1W4zPeMl4PzLY2b70uX 9Zv53ar0teSJscG6lvc29tQNdrWoXHq+t2E5lR2ana4x7nWAsGeznI5n/Z4L s97TX8V+Jts+nH0q8iCrpCknI58Iz4zqsix9y33h5Cgfn43t/ISJ72DiB/r3 MGo/rbbBbZGbGZ1tsGL0TeE0v+57GtueEY55YN3U9ux5Yd5Xif/0z3t3+W0e fsXPqu+D65B4g7Ab8n5LvKeX56aO9Z979LbwxGIzo/d+9pX2Et/p5QcGLn1k 4PdQuOQF77Sd2/ylvcRzevnhEX3j+75W54OICQEpo76s47SX+E0vX1DOJraq QbDwOcOY5Ebn1fiN9bXypEmTnJODZbxanfTtnlVcZc/Hhfb8nBEg7LDx4PUw /+fC/N70F+QRUr7B1acir5jZIXVV0BPhBOOEZS7L76v9udT3iejuJ8zvDfN7 03+7yB32M6rdFrn770MatrC+KRw0yHHvym5nhN/8UrpJiSfnhZmf6G92U+v0 tZZXZb5wqvl0celAL+E1veftzt5zTzjPv92A08/vCvP8WQ953ts6XJ02aGe0 8KkbS2aNnBIr8yf/33Srj3vtoo+kv1vFS2SN9n0svCTGr/7LD8+ELzUwKdS9 psrM3/Q3pGjOyQ8/BYr8h5vO/vsqBwlfOWCzdJBJmDpfxl61Odsr9Ct/iIex /32lW2nt6qjrQ409q7M658ZLfD2xscfh9JKxyuYuG4se9w+SeDri1rbIRl6B SrhNA6975+Klf9Zz+huX6jO11jF1vVk5a9OMBl/me1lP9es18sfej1MK/qSu P6mWzhkli7+S9hKf6+XtXV9MTrisxne/NtgzLX1LqlLe2bvk1bG3JJ5Hn/Wc 9ofmhyf7dvkyX0eMaH7wlItiULhF+0W26RKf8/xM7do09br0QuJz4u3catU/ Vr8br7j2ehhVy3qHzD8XN3ZoP7fmMmFThw4H+vlFKnWrP75d9nSEYjz8Xv3q E0KUKlMvGJb/HKvMmznhol1wgDK1VzeHHkNfKteaGZvNvPFU6T/5yuL9rxIV ky0Fxrwu460ceWjSdUDiK+VN2fjU2MwHilJ1X+aG6cnyfnV7ltQyecAlHfE8 TDwPE8/D6PvUeRBTvelW0YfRh9GHf7qos2rwPkbWy8c71r4Pq/hSeOrsfsec m7wSLjWw2uDeXdKFn+9OX1bgRKaw8bqBgaGXsoVnzb3Y7OKdXOFb4w1XOT15 LVxhyNKQqWFvhUd3i23ZK/G98KnWPdYa53wU/mx0PPzz589f7RcSP+EPjD8w /sD4A+MPjD8w/sD4A+MPjD8w/sD4A+MP4xV/YPyB8QfGHxh/YPyB8QfGHxh/ YPyB8QfGH+1+K/Eq/sH4B+MfjH8w/sH4B+MfjH8w/sH4B+MfjH8w/mn3i4m3 8RfGXxh/YfyF8RfGXxh/YfyF8RfGXxh/YfyF8RfGXxh/iXfxF8ZfGH9h/IXx F8ZfGH9h/IXxF8ZfGH9h/IXxF8ZfmP2Jc4PqvajbPkP8h/Efxn8Y/2H8h/Ef xn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/yfePFzFeXGm+A/jP4z/MP7D+A/jP4z/ MP7D+A/jP4z/MP7D+A/jP4z/MP7Xbt5ocNFbWeI/jP8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+M/jP8w/sP4/2zP8e1zi+WI/zD+w/gP4z+M/zD+w/gP4z+M /zD+w/gP4z+M/zD+w/gP4/+64i0Cknrniv8w/sP4D+M/jP8w/sP4D+M/jP8w /sP4D+M/jP8w/sP4D+O/xewzlUZsyRP/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH 8R/Gfxj/YfyH8R+OuWfzpnd6lOzXLTti5FaweLwwcvLN2qtfDbhUO0nk18ae /WRvlirc7M/rzysezVD3/7bWM0k7kyX8YOnqFfe9coRrTksKOuybJzzpt74t lr14I3yp7+nVNjHvhEt0rBJmlvZB+FeT+aYV330Sxj/teSn2k79qz4/JD/m9 YfJn8kHyee15Mfkb40n2Z/X7X2VLxeYOC80QvjN3fJsHdbKE58UlzbawyxZu PmDqOc9jOcKx1zOyf0zNFdaOP+3vpc13kDMeYcYjzHiEGY8w4xFmPMKMR5jx CDMetef7xNM8T+IT/GW9hlm/YOZzmPkN5n1n/+Dd2d8qOBnFynnWo/FTytm0 SZTz6DLZyzaVeJKuzHEduOeKf6TsZ5Jfc/7Ffij7q+wftQ11meg5wkPyUZj8 fXrdMNN6nc4Kb56zfGrt9gd17JfRHiafZf8LOYyc/w9jP/u5G3SOh9rlRgsj 3xryq9OJPVFK0MnMt5UKxom80f7B/dNLJwg7OF4+4ls9Udh7Ua2PbsbJwpWn LB+4vGWKsJ1N/F8jzNOEh7kZF/jBOEO44L4hxw2aZAof275uyOsWWcL9N10p GN8mW/jNyhQP/59zhF0X1h56o3OucPdZ/Quf7JEnnDZpxcm9fV8L77Q9N2z9 wDfCFsMTiswd9lY4bkB1T7tR74Q39eptYz3uvXDrzouKdZr8QTis3cnTzWZ8 FF7ZMmqE4dxPwk0bVSxhsPizML+39vfhfWV88T4wvuQ+jv79Zv5ifoMZ35wn 834xfzG/wYx/7mMw3zG/sR7CnJdz34L25E+cn3MfBKY99rMfgP9ae8k/eR7Y x36Zdj/pv3uezHzJ/iXzI8z8CDM/wsyPMPMjzPwIMz/CzI8w8yPM/AiznmnP p90tDk/c/U88n/bdYJPu9F+cT/tfCa3n/dZTBz/otGJLwN0jugYDrttv/obz 2fzOV//u+an2fBR7zc0qVjt0MkM4JvJsQPkSmcIZB3cMqZKt8k7LtpVXWmYJ HylXY+fattnClpevDMzdqvLwRS7P3y7MES7QwML59+cql0+qU2XKjVz1fM3p pn9wjTxh1nOY+UF7Xqo9D9Wef/J+aNdLzt/kvEi/fsr5vX79hFk/YdbPv32e qtnP1u5Pf+t5KP7K+qq3t+yasF8WrTkvvH9QwV1Phu7V/f9+/sj8y3yiPa+v Xtp8wphHkYp9XLTp3b8ilGa6CjuL/hgl5zXa84LFJ+ekRDWLEfmuJ27Dt16L Fs7v/Jt8A3vidQanJ/vEir7fvuAu19rHCRs6dvxjV7cE4TanphbvERAvTH5C fyv3Px35Y9RLkU9c9Gf6zAGJwpcnF+1uNTJZ+Jljm3MfXyUJk9/QX73Ff5QM fv1K5MVtJro0npgi/Gvvh1lF5qQJz5jycfS5wiqTH9Ff1AnP0HvFM0Tu77Lb eHonlRds9308snumev7mFrPmfBmVya/or+W+yqaHKmWJvO6mDwv6WKrss7J5 g/bW2cJB27uHb62hMvkZ/S3bNG/dkjo5Ip++cPTTBkNVrj7LaVHl33KFG61y bzWlvsrkd/T3aGFYxLCmeSL3mnSnYSE7lcfb5vmnT3wt7DCr7IYeP6lMfkh/ tSd3atOm7RuRlx3eaEn4NJUvDBje2G/OW2Fv25lRP3ZUmfyS/qYMP7yx/C/v RD6i16aASwtVLtLZa+mR5e+FK1u/MPvUU2XyU/q71qtEzCurDyL3aJfRZPta lQe1/PHFcsePwnadOzgGD1KZ/Jb+Sraf0u7e8E8i/9Bw0PJpziofrrPGZOQf n4XPtNwfe260yvmdl5Y2cSloYafmt9r7Icy35LPMr2saZ50LHKfyzpRnZmH9 M6U9+a6sxzvn5PRyV9cfy2G/OljtyJL25MOyPhd62+pamqpfwDvk/I3gbGlP vizr9bRFs5q3UvmC6W+5prVzpT35NPIRYZ/PuM5VedKB6NZutnkSrzN/au/f 5Hf++q33Z/7u+av2/o/2PBb/opb2fz2xtLqfTzxNfAwTH8PExzDxMUx8DBMf w8THMPExTHwMEx/DxMcw8bHWfuIn7IexH8Z+GPth7IexH8Z+GPth7IexH8Z+ mHic+3vEwzDxPczvB6PPfT/0YfRh9GH0uR+IPow+jD6MPvcJ0YfRh9GH0ef+ Ifow+jD6MPrcV0QfRh9GHyb+4v0mv4TJL2HySxh98jH0YfRh9GH0mU/Qh9GH 0YfRJ99DH0YfRh9Gn/wQfRh9GH0YfeY79GH0YfRh9Mlf0IfRh9GH0Se/QR9G H6Y9+Q/tYeJl8gupJ9Lft5V6IU29E/f7ZP9YL5f9GD0z/rT63Pfj/8PIud+H HEbOfT7kMHJtPQXxP/mMnAfonw9MPgLz/LVy4gP6Y/3n/7G+0z/M85D9T739 2vlR+7y08yVy2e/StGe+o38YOfMZchg58xVyGDnzEXIYubbekOfH+ITZz2O/ mP0y9ouJT9i/pT3rIXJt/Qr1HbSHaa89P+H/8f/5PWT+1euzfw4T78DsH8Ls D8LsR0q9lT4/ZDzA2v0R3jfZD9Uz9lJfBVNfRb5I/zD9k/8hh5GTzyGHkZOf yf6EnpGTbyGHkZM/IYeRkw8hh5GT3yCHkZOvIIeRk38gh7XPn/mE5w/zvKnv gqnvoh6P8Uk9Hkw9Hkw9Hsz8AVOPB1OPBzNfYx+srRdjP5P5Te7b6t8PzoNg zpOY76UeTc/0z/PS/j/yMakP5D6svn/2x2Hqw9BnPxV9ue+qb895Fcx5l9Tr 6vdXpV6V+6/69uy/w+zvo0++iL62Xo39f6kv1Ndzos9+Lfqyf6tvL/ULeuZ8 jvFzROdbxOZ8towv1gNYW99GvAYTf8FSj6Jn4iOYeAcmfsEf4hHGX3SLQuM7 blDXQ+36SDzC+N7pstrt1KNMWS+16yfxCe9LHwOD+HqVsmX9oH/eB/OE26sd TNR4iP54vzKte9xNnK7eh2G/kfUUZj2Fed/Jj8m/kJN/weRfMPkXTP4Fk3/B 5F8w+RdM/gWTf8HkXzD5F9x7W1Y3wyw1HvgQZV0wd1i0rP8Zx5/FL7aJlvW+ ybADH0zz1PX9312vKPFvQoeBeYvV+Pi9rUORTrfU3/uVs3nc0eQsmS/Naq48 YPMxW9mTGd3qN+dQpUTgny6J4Wdkv/x/Wo84qN3vCY2bREq8daRG0IxXy6IU K6NtjSt0vKQsqPsq/IZblOLaOdvA6sHVfOsXT1XzTnM0iVaqdDo/4e5V73zr GZ+1jQuOHB+teJTr2sW+oSr/R/WNjdvOv5/yn99peLR4U7Opqvwf1TsGnitU vqZ7lPJpcbX2k9eHKEm/ZE4Zsi5KMd0/uN/R3/719ZB/t74xv/rF/OoPkzz3 TqqRd07ml6o2Q3IPWvvJfGLpXsPsTswLief79+xgZPdniMSjQyf3mP3k17Cv 4nvmD239olHmtZWljKKUf1TPKPmBY9kityt/e30j+lNzT4/O2px/vePkFQXW ZTeOUtcTTf2jtt4xv/pGbT2jtn7Rvn7bRX+duSXrA+vL7WqFh9Y3zlSubXA/ 6GDiL+sB68nDPgG+G4ZlKRscf0zI23JJZ1rj8ajjnzMUd5OiS9xfP9B9Sml3 PLRjlmJfeJpZxeGhyoSkyDt9Wp7TNW9/0WvW8y/z+ZHKt52vbtX9sXS/iWWT GPl9Fn5eVLP+jWjheX1L/bzvVqQSNM/RtaDbESVoc0iZ4AuRyuOm0eFF/Ny+ uV7S6dbKEpPGRKrnDZ2tq27OddX9uPCTxe7hGcoio0FH7629o6trOaCMq2um Yja+QrVevv66mXGZZfcGZim9tnZ4Mb22Op5yClZ0fxAYoYx6Pmp0R7eNX9VL Eo8x//8w9mDzBu0DRX/I2Hjr2WWC1P46n/jcpH6Y8JXOk0LD+od+NX7Jn6pm NOhTzytMubAiYEWe+VHJl+YbzDHubuOk+7Dg5OJBddT8Sr4f8MK8UVLGaV2x VuXGbgsJV7T3RbT/T+6XjPEyW74uQvKndg5Jlyu1ipb9A93UmIU/dIhWDB6f rR1X2keZeC7EaM6gaMXv5YRdZyf5KZsKhxjc/T1a9hMGFOk3uN4XLvmTteen fk8Vg1mlBrQfHa0M1708uuWSv2I8q8qmg22iZX+hWvQI899aRCsdJobYnP/h hTI68/PRYa+jlNbbxtp1sgyS+GVRatXqtg7qfTeev7aeuah1xq5qFz3E33r9 g+YcqXzkK/+pzyWep78NB0ulNZt4VW1/qNrS8Ve8hN9tNvzDddM94RWbd/Qv EndX+FvrNYn3+f9efeq7z6j0SPozszyeVebaY+FLq2oduZ77THjJqpDl0+qp TL5Lf/fToqYXeBAr8pf2hVY2NIsTbvvb+OBCXRKEa0R0vRcaGC/c3O8Xl827 oiQ/js15f3Na7yhl64+TRreYelbyYf7f7w+P1boY+1L0V/f1bRHRN1H4uXnz NZeHJQtfvFZ6tlN6kjD5Mv0V9ZjuO/X9K5EbmTiFbR+XIjzLMM90+ow04cF7 A+r2Kq4y+TX9WXdz+dnJIEPko4ueuONmoXKJjxHTnLtmqr+3+aOEpeVUJh+n P9fWBZymVskSuWdOecPlvVUemtLF275/tnBPE9OONoYqk7/TX4aRXWLPejki LxA3e8aIISofCz3yQ+8RucK7DXc6mzVUmXyf/iwq+VgYN8sTudWzoHttbVXO 8y05q/6E18IJJd8lVWilMvsD9Le5kMmOz+3eiHz/LfPalexV7n7F/n6B2W/V 8ftuZKdUC5XZT6C/sMwtr0K6vhN5ymnX2WnzVd7+l3+dsKXvhVcl3dzp01tl 9h/ozyQ6u/OF/h9Ebv5nEb/7q1WO223mcHHjR+GAoPqph4aozH4F/S168uvu bSM+iXzD1gn13LapbLpuzwOnXZ+FjX3W/7LUVuVvrccufqfi0sVf8omb5slu Hr1ufXN9doXOo8e2GhWtNOzgNXfLgoffXK89cqlNiU+Do5WqP50+f+z2s2+u 3y5yd28nD5co2c+4nDZwvGO/KGXIhMbtGxz8Xt/9vb77n1vf/b+tXju/+uz6 ddeWWWc0Vhdwz7vO/GJf4lP7ypeTfw7RVW128+aSZ9lK1+fv99X4PVjX6XiP mCaXspVJFwbPvdAsUFfbMLGMob26XzXS+YcmBn5Hv6rvRg7Xb1KzmK7zDtlf on2fCit67miYoTj+5l/6cmaUUmVXi+tXf76lzHD860Hf3Cild5Tl2hMjg5Sd hr3elprrqXN3tr156kSG0jv22fqKl3102Ukn3W+mZyp224rnTn8boAsJqjuz k1G2Mmh9i/fXx9zQZRWeMOZA/0wlrPWscAvXJ7qEjjZxTTaq+0Xkd+xfwOxf wLQnnqU9THvt+YK2npt8kP0lmP0lmP0lmP0lmP0lmP0lmP0lmP0lmP0lmP0l mP0lGPvJX7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2HsJ7/Gfhj7YeyHsR/G fhj7YeyHsR/Gfhj7YeyHsZ/9AOyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7 2b/Afhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsZ/9E+yHsR/Gfhj7YeyHsR/G fhj7YeyHsR/Gfu33X7X3Cdh/QQ4Tf3Cfmv1YGH0YfRh97l+jD6MPow+jz/1y 9GH0YfRh8nP264gPtPt38j1Yfb4KS72KPt8kv0ROfgiT38n3zPT5GUx+BZMf weQ3MPkJTH4Bkx/A/N5a+4l/iR/Z7+T5yf6nPn5l/5Pnra3vYz2Eteep2vts Wnu06x9y3h+Y9wfm/YF5f2DeH5j3B+b9gXl/YN4frb3a94f9Y54n7xPPj/eH 8zPOrzgf47yKejb2u4iX+P4s8RH6nIdxvsb5F+dn6NMfv4d2/037fV+536r/ f9jHfp52f0/7/mjvX2Af7xP5JuMBxn++90p78kvaw7Tn+660J5+kPUx7vudK vsd9W5j5inwI/2CpX9TnK1K/qGfk1B/yPKg/hKk/hKk/hKk/hKk/hKk/hKk/ hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hKk/hPk9 +V4wzPd/Yb7ny/hg/oN5n5nPkcPImd+Rw8iZ75HDcr6in/9lv0LPyFkPkMPI WR+Qw8hZL5DDyFk/kMPIWU+Qw8hZX5DD2vsIzB/Mh6wXzC9yH558Tz9fwdx/ 4D4ATH+8r/Qn9+X1+gUcNhlv/1VlGxOrrg/f5og+9+XRl/vz3C+LKWdXzEXl 8n88XalYqPfnpb5Nz1J/pmepP9Oz1J/pWeIZ/fgjnmC+ghm/3O9CzvNHrv3e NPczkHNfjP9H/sP8xPuDnPwCOe8TcuJ35Nr3i/UcOf+f9ZDfi3gC5vfm96M9 z4/1Dbm2fvb7fY+/d9/j/3o98d+9P5JffbD2fsm33g/R3v/Q3u/Q3t/4797P +J/WA2vvO+RXH6y9D/HPrhfmfSZ+0p6nfuv9C+19C+39Cu19CffE890qN1Hj e219qfa+iLZ+LL/7Ddp65fzuO3xrPXN+9yPyO3/+V9+fyK++Vltv93fvR/yr 7kNQ3/fvug8h9YX/1+5DfGM9+z/7vsP3+wvf7y98v7/w/+79Be19BO39Au19 gfzO/79/v+H79xu+f7/h3/f9BtZ/+X7gN34v4VvvJ/yrv6+gvf/wrfcXvrof rPkeRX73G+R7S8dtrqzKnaXTfu8mv/sP/wESbijy "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl2dwlkUUhe8GTEgC+VKAQEhCAkkgEBIEEggQAiRgUAQFOx3RqEQQ7KKC gkr5of6wj733sY5lLP9U7I69Yi+MZSwzltHxnDknM/x4Zvfd3Xffe8/de/f7 qlevX7QuKyKKUkQftIeDVjAKHAOmgTHgSDAVjAZngnbQCLIBXg3usRQsAX3B SrAC9AP5XpdjuJbfygP7ea4A5HrsIDAdjAXFYIDnTwDdoBCs99xgsAGUgFLQ A9aCgSDj/fj908EM0ADWgGNBf7cZrzkbzARNoBIMBWVgPKgAVWAn2AGGgXFe w7lzwSYwHNR4bbWp8H6TQYvnJ3jNSLAANINaUG/tk+Mw2notsXZ9/Jyzj/bZ 1jHPvhTs85zruI3xu9n2Nc/xyfdeuX6PWk+0XbV+ps5F4BIwyT5R/0Ee77b+ GX+D3+rrOJR6jto3Ws8Njlux9au0RtMdH461Ow7DrHel363w96tsS42fW2wv 7d4MFlrXZD2zHJ9q78U47u94ZVln2n4UOMxxKLDttLMtdB5p26xQ7GnLIttZ bvsabfNQ+8KxXV7H7821vrS1I3S26EtX6AzUgc7Q+Rhp/1rcnwcO8PP80Hmq sV3T/U1qP83606ep9mu87a6w7W1eT21arUGD49TrR7t9oX8z7SN9mG3dSqxR xj512k7GZY5tYx6u9dpm+19r+5bYthb7VWsdDgZT3HZZk8n2v8V7z/f+zY5z nf04wn5zv0O9Z5P1py+L3S93u9g+1Tvuo/zeAr9L/Y62rhxb6G8dEqpT1D7H vvSz9gfaP9bD5R5fCVaHas4WsMxrOLfCe5wYqnGsbxeAVZ5f5ffZ3+p1XMM6 drz7vbWM+dztfaj9cV7XO7/G65fZvr5ee5LXX+h3+jtm3R4vdD9jX5fanoz3 LbSeu6zzqaG4DwnVje2hc7ENnOw92fa4z/p5PhgRyjfWlyK3p4RqDdeu854b Q3Wk1PNc13sXbHR/re3gGubHaaEzzrPLWsA6wPifEzoDPO9nhc5Lifcqtv2b bBvz44xQfmyy3Rw/z33uPdvP7FeFzulI29Nj+5c7xv0cw63WcLVjQP15jrY4 RvT7Ir+73TaNcNy2WcPeWllm27imt97tsD1sd7q/y32+dwtISd+/CfxnG28A 79kW5gVrK/PgNtqVZPtO70UN7wA5SXaxhnVYg7tAXpIfPO8r7WM7xvaG8j3f cxxvwPjYpDv5ATAuqYZ9AN4P5d494KtQDn4E9oTyejf4OFSzPgVXW6vnQFvS tx4BE5Ns/AxcF8rrT8CV3mePn9m/AsxJ2rMDbSe4GP23wLSkOvUG/UiqcdeC eUl16Gnql1TDngFfh+rIVWBu0nm5BnQl1Tb6dLf9+ga8GKo3L4EPQ7X7SdCa VP++tQ91/s5ToW89b32n2O9nrTPfeyL0Lm18M2RnGfqDk3Jmr/Xi+gzG8pPy bCDawqQco72vh2x+DLQk3QNfgi9C9Ztjj4bGGcP7Q3H8AXwfyj/q8Z01eZDz STlJvXc7jtTplZBWjNvDPl9V6N8butMuB0OTcuRx8E6o5nzuOY4zbteHYjeB 2ifVnVK0l4VqxS/g59BvYeoxxJr8CH4K3RMv0K6knPwV/Ba6e/4Ef4XujEtB QVItmoz2tdAd+TLPY9J9XIO2NqmmvOtzQD3vs2/0qzop9ox7Lvp3hmrnKPTr kn6P/wF+D/9OTzqLPIfl6Fck1T7GcIDj2B/toKS6OhxtZdJv5EloXw3lbWOS rbSTP6RuDt1F/4IbQ3dIPcbHJNXNh6wp9eQeTUn78LwU+8zMSMoZ5ksf9G8N 3TfUviRJ/1lJecuczUb/9tCd9w/4O/S/5O1Q/vA88L8LtabO1Lg5Sef/AbDR 9h0= "]], Polygon[CompressedData[" 1:eJwt1Fdsz1EUwPF7q2aMmDWKtMa/2mr7pw2totraxJ5BaBAVSmyCVlviAQ9G I/bee+/YPEhE7PGCxIq9N9+Tcx4+Off+7v39fneceyOyxvXMCXHODUIoHuEh wpGG5t65w8SmaIcY6susbTqu4j46ozuiaI/12haPFpSPE5PQAatxTp5jHn5i kdUHoiH9lxJbYyq245l9OwYv8Fz6oRuu4yi6oC3uYTFSbUypfO+09c3Fbdyx vom4iVtIRxBPcFbmja5YiadWln+uwgq0R0ebyxp0sjmcsD7S1gwXUYwxjCDm oxbluphMORb1KAe8zjUOdSgvIbZy2uczFiIF/XAJJeiTTSzAefzBYOThAhzt wwhzcBmlqY8lFso+UD5IbIJMFOEVetmev8Z79EHA/v0dA2wMP/AN0fbsK96g N/ojhO9vIo7EcPzDBmRhKH5jHYY4zTmZa33emWJzjqS8i9gYbfDWxhSwf6TR /phYHXMR6nVNCuyfZahfsbYc2SfqR2yv56M49S3E0RiFBfiIvkhGJdorohrl CXiAHU5zr6X8l7YwQXkiSlHeZv8ag/LUK2C802/UoFzTa18ZcwOvey57LXMu R7ksqjp95xM+IMrGVNtrzkiuTMJORHgdi6yR5Hq41zbJeTlLGV7PluRjSa85 UGhz9l5zMt/2ZKvNQcYuObLR9lD2TnJ2H4LUZxJn4Z2tWbLlyHJbY1nbSKdn 8aTT3JczudnWXNY623Lnl9OzLjlUmbYqXtc6zOb+xWmuyxqstxyS3JGcvoFT 6OH0DB5Dite7Kcna5MznWp8zklde7x450y+xFzOc5nyC1zsgaM9krvuJs53O OdrrnSZ32TRcszWRtZA7Y63TnJZcljP41+kZlLMnOb4bcV5zOQGHZG28nj25 U+Wua+T123Ln3XV6pvOc3inp8q7XtZUxHUAi9QynZzie8h77tjz7DwQKoBk= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe8FtURhtnzWUBFjUJijcGuGGNJoolJjElMs8YERGxIE5ArQaNJbFiw 94qgKBYURBQRBMUGWFCwYgFREBQr2GPBOk/m2d/HH++dPbvnnHlnzuzM7Hc7 dB+w35GlVatW68efRsidQh4c2Djw28BeVatWfwv8Ia47BFYM7BHYLNAm8KfA JoGVAn8JbBpoHfhNYM9Yt29gl7j+ZWDvuO4e+EegU2CvuLd5YJVAp8DWgdUD BwS2CawZOCzm/d01+8R4i8CqgZVL3u8Gv7jeMrBa4IUYvxl4I9BDPZ0DxwQO D/QJDPRZz0CvwP6BLoHeygOci+zqGuSBgb7KgwL9lAcHjlAeAt/gsVWgbUkd ndVxpHyxaYASf/xTCafu2BxoFzhqOY5HK+H4LyUcu5XcswUdcd0xsEbg/RjP DywIHKsNcD8+0N/5J8oJLu1L3j8ucLI+Qv8g+TE+1/UnBE5yHc/Od6+TfNbi vqe4B9xPl8e/sQO/BH4QOM81rD/Vudh3jlzQd5r3OMMeJe+fHbg2cGHgIvft 65kM9fk5PjtZLpeo4zTXDfLZ5fI7I3BZYLDj/7gfZ3up63h2lb6A+8Xuzb59 gtvhgXUCw9TPvKudi58u0E/o7h3zzgo5JHCNz+B1ZZX3sWH4cusG6wP8OELb 0P9i4JHAo4Eb5IodNyqx7+bAFeq6RR/BcZT30LluyTk3udddgUmBMc7F7rHa A6/blHC/XcmZjHY/dNwh1+sC45XXB+5UwvdW92bfCd6DOzlpZMiJchkpt/tc A5fJ2oYd93sPXnd7Dy5TtBk77lWy/h6f82yc3OH6gHvcrl9r/dO1Ae5TXYN9 DzqX8TTvjdd3N8lvg5L7PBx4yD2wdYbzsOMxJdwfV8JxphI7Zimx4wkl/nhS iQ+eUmLH00o4PqOE+zx1sPfLSvZ+TjvhuGFJvs9XmVcf1h/Puge2zqkyVrBj rhI7XlKiY7Zzp3v+xCzv4ivqxI53XQOvBdqDHa8qsWOhEjsWKeHymhI9ryux 44cluS+uMtbQybsxX53oeKvK9wc73lZixztKOL2xnA+WyBGfLVVix3tK9n7T uexLTiE3kUs+0DZsOjC4rRX4Xsn8gU94nzcqyfd/gS/kB69PtQMunynR87G+ wAefKPHBCiWfcW+Ze2DTN/KGbyvrBLwacf2R+33pXM6kxP0Pq3z2lffwQVVy Hc+o9fuE3KPKWkfNopatbZ0+tMr6Tx9BP9HBfoH6vYn9AvV9U3sKavZm9gXs t7k1nxq6hXWeOv21XLCHXoVeg55ja2sgdbqjfQR1ehv9TZ3e0vpMjYcHtZg6 Co/ujjtpB+Ot7E3oA77Vf/gOTr20+XPPhDOr+wZqdN0rUJ++X7LW/ld91Enq JTW/mzW4n/FC3NS9BfeohdQT6krdi6CDekJ9OF8e1NyBPmePY6tmz4G+uoc4 umr2HwPkeozP+riOMTWS2KQ29ZcHNZga3sMaNkAeJ6qbNYPUx70T3JcaWtd5 JLFf91u95X6K64/T1rPlOEgdcBrsXoPkdYE6ztNHLY6P147TXVP3eb30zRk+ O1H/sZ6cxLv8shzJG7yfdf6d6V7U1ktdf7lj6n9v6yh+oQ4O0YahjrFpmGO4 XuV4vZI1mDpHXSLn361t1Nbh2nqtY85khGN4X+1e8CXfXSe/GxzXPcEN2jrc NRc7l73gTb2ibsGDujdRrrfIC65jHNe1/zZ13+qzuj+gHpM7yN2L1DfWefhl lPqwYZx71b3CHVWzVxgv7wmOR/h8nFwnyZW9Jjsepf8m6/fR3iOXkz8Xa8MU fQ0naui9cqdu3i+nBx2jb6pj9E9zDL/pjuH3kGN8R818uGrW46eqZj1+umrW /hlVs/Y/VjVr/+Pa9qh71bV/VtWs/U9Uzdr/pPbPcE3d90yR67PqruvoQrlS M2fL9QX9hL4XHbPXHMd1vZ9TNev9XLnOc8z7Sfxdol9mqxt+1MH5VbPGL6ia Nf7VqtmXzKuaNX5R1azxjD907kLtZz/e27H64j65ko/Jy6/EuzWf79LSrJcf V82a+qn7se8HrvncZ+zxheNFrqvj+iPXLHYPajf5eQ3rzqp+t5J7Vvc7l+er +d1K/mvrNyN1g5xPneJbkhq6k3V0gbyoO9Rn6vQyff2u96hfrUvzu3cV6yY1 biXr7P5yqr9126q3v3qoS6xvY/3tKu8D1fOVuus+6W3PaYnP2/j7QGfPBL51 f4Rc6ppl+rTupViPrRvLo7W/J3SS+yby37Fkb4e/f1SyZ8Ln5CvyJ/lgW7/D yGf8nrG7+/6i5DPm/djvbGraDiX7XWL+5yVzMfu9H/K9kt/0H9IjwSHwCf1V yd8t6BGoedSo7Uv2+rxD25X8hpnoea7lmf605LnSF+0sj/b2KdvYn2DfDvLB vh21t73z+xtfHY0xuG+vXnT+pDT9sa1+gNd28ulb8vubGnWk+o8zXjY3Zn5W sl+hV1lZ/xFH6FtTnvwe1MH7S0IuDezn3BW9z/nTa9I38RsQvSB94O9KXu9X JZee8qGHo6ekn/xVyd+P6nW7OB/5a6/hu3fJmGZfesE9nY8O+k44/rFkHLH3 riV7VmLqz8vF2l9Lxu+uzqOnJJbJGfhmt5L7s2dLyXeGvm1L7W7rGXYteea8 651L86y6eM5wP0j+WxlTvGP0gd2Xi41DPG/8Qq9FH0EMH+q5Egfob9Hu3eTc zr14PqDkGbOePLRvydzT4pxDffe+9t3m7Hb3/M4K3Cnfw1zTTfzfdvNGi/u0 VxcxQy90RMl+iDja2Tjr4RzirYt5kDxEHuU7hG8O8sE3ciJnfOuY/Me3B/FE DuY7hzXkX9bxjNjnHR5pbA9YLob7y7Ov3M6M6+khHzBWNm1En+Ee9wXu1qeT AxOMC9b11S7yBOfBe0b89lJXT/X2cF5fz5C1h6uXd5JnQzyjnq5dxzlXyLNf yfejn/ucqW/7eP1pyM+Ms/q3QvpoftCtGsZiyKEl88pRgXuN4WvYu5GxuHrI ISVzSbu4vqpk7mkd15eWzCsbxvXJJfPXxnF9uj44OjDNeB4YcpJxuFLMuaik TU8Gnir5Hl6pPnRdXHIecy5TH7rWD7lBI2N93ZDrNfJ9ODewQiNjnL2vc/8r Aqs2Ms9drQ3wH078NbJWDNMX+KERsjTyW/zCwPn6eaO4d6oxOzhwhn5uE/ev NzbWiOuRJXPuanF9Y8ncOiZwS8ncOZ51JXPYWH2Ef9AzQl3sfYH7jw45qmR9 wL5zStq4VlzfVLIeEIN3GYfE5hTj856SfsfnxPLUkvE8MXB/yVz3oGfPuT8S 8tHA7wMzSo65nhmYVfL9fzzwWMnf/tsHh5tL1qFLPPv19PflJX3+QuD5kv8H eCfwdsnf5l8NLCj5e/+Xga9K5sEvAp+X/N16TmBuyfyLL1dppD/xcdtG+vmZ wNMl/+cAl7UbyQffrNlI/7wZeKtkjlsceL3k/w0WBV4rWSdmB54rmffnBV4q +T+NbwJfl/z/A+dMLuCsOYdrPYvzjA9i4+yS7wPvQv37EX3id/aJSgE= "]], Polygon[CompressedData[" 1:eJwt1FVsFUEUxvHbWQqlWNECLaVNKVDcoaGE4F6guJQmTUgID8AD7ppCIBBc g4QXXIMESdDg7u7u7vL/Mufhl7l7d3b3zJlzJiFrYPoAFwqFMpED+7jYj0bo GBYKXWa8iAi0xBBcst+J2IXdaIgOzN/LuMd+6x3ncAY50RyTsB61MYI5UUEo tIjfpVAD6zADxWyOnr2AFvaOSObPY4xBNeTjegFjLKqjMNdLGONQE38wFpXQ Q+/l/jLG0ohXDHimeFEOB3HA1t6YMYH5kxmzue7H+BxPkdeeKc79U4zNkIHV 2IA6qIox+IXuqIid2IH2YT5nH/Ee+dEZI/Ea6SiPN3ilddp/U7AFKSiJ8diE ulo7vuELCqArRuGDvTsZP/HXchFl3/6MLhbDDVxDbrTGIRx2PhfpxHya8SjC bc3HcMSum1huXip/lqMJWItayOT53xZDlOVkK6aiAeojjHz+YyyInhiK6xZL GTzAE+UPeZCL+bO1D6iCYbiDtkiyXPxAN8vJYhQKfK2pRpaiaOBrRTUxGGed r9UE52snFPhYVEODsA2pSGM9J+wZzW2K0fhqua+ARxazYk1DbOBjVqyZuGJr 1NpaYTNKcL8PYz0sVNyBr231yHYsR2/LmfZeNZhhNZDI71mM0eiPudrLwNei eiYu8HuivchSDXEdjsrOf3O+9i3wvaWeUu29QyfnazCaexutFhSDajEm8GtJ sVo4ablQTXyynCgXqrHzzp8hOjvU045nx2lP0At3cRuRtocrEc+cvrammbZG rU09qXs6U3SWaM4aTHO+F1RzquVbaON8Tessu2q5jrBv3Uc7+6ZqLwh8LKrB t873ULLlYIXlULkrglXOnxE6G1SDN52vwST75j0MR1n7xgvne1y9rR557PwZ pLNHNf3d+TNDZ4VqVmfJHOd7XWeKeu+4872m/GY730PqnVT71kPna03f1N5O t1i1xxOdrzHVls7Y/8EUooY= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHfYj2UY/eW534b20B7UVVZGpBLK+qy+lJERsvMZIXxKqVCJhoZ2Ee1B 9SlFqChK2gMRRchsR0njHOd81+ePc933+77PvJ9zn/v5/cr1GNR6YKlcLjd3 r1wuwY6LXO5o4CE8zAYqAWcBVwGnATWAl4DyQE1gJlABOBN4HagI1AJeBCYC 1wLTgHuAEcAcoDJwNvA8cBdwNTAPOB04B5gPVAXOBd4BqgF1gIVAdaAu8B5w BlAPeAuoAtQGbgJaAq2Bp4DrgJHAKKAJ0AJoBJwHnA80tq0PzACKgAbA9UBD 92lqn/2a2bJfKyAfuBC4xmOy3QV79Mu3beZ2tM2BMV4L13qRffa72Dbf7ThP nuNwruPypfu0AUrhrHbBDgY6A+2BDsAHwGKv8WNgEnAz8CkwGRgLfAGMB8YB y4ClQEegE9DOY3UFLvW7AqAn0AtYDawCuvjdZW67FlgDdAf+AW4DhgJ9gB5u 283jcb0rvOe2wAZgPdAbGOA+nDOwx/88ziCgH9Dfe+7vtj8C24Ar3G6g224G NgF93fZyjzsFmJDEa/KHvCP/yG1ynFwnn8lr8pu5QF6T3+Qwc4K5Qd6Sy+Q0 c4E5Ud4x6uq9krfkL3mcQmd2a1JOMD/IP+YKeUoekkfkWMNUwlE+F9mv72/k FXlWzBtyIt9nzucbkjiUt0e7FqmEl3wu5iWfR9tv7nYcr2Uq4X1Tz9/czzd6 LvZZ6vPs4DNt4/6LfbZczy1JHCS3yEdykBwjH8e579PA1CRe9vBZ8czI+dZe z6WOLTnXyTHm8yr7nf2tp8fo6vPg8xr73byOTh6PekJdob5Qk0b4HDg3edPP axng5032C/yNXBuYSnjJ5232B/gbeTnE447w2d6bpB08T3K80G2yEO+ZP78A dwC3J/GSnD0VuNM++Xp3ko5y7F2pJFd6eo19PB/5Rv48mqSVjCl5R52k7t2f pH3ky31JHCJ/HkzSUPLigSSukAcPJ2kZz2W95+rlOUZ6zHY+9/bGWJ/1Z8BH SbzoYA50tB1vf2dSrjCOrEnkHPnG2DBGw+HnQrEpdDwmOD5X+ywZE+rhh8Al jvfde5zDPY4N1zXZa3k2SSPu9HiPeUzGb6L396pjlOdYPuw4zPC3PK/3kaQ8 YQwmOQajHOsmjve95sAYx7qF557iPTGORZ73iaQ8Ge/vz3iNrHfP+Sy57xe8 P86/xGvgPh73Xl5O0ruajsF076+835NrjT1vnu0M+6/Y57p+9XMD9+O4Nby+ qT5H5gBzhvpMTpFD5A+1dabnfDtJi1nHZyXpby1bPlOLq7gNtZo18d2kuljR 7Sr4O8c6x2O/5j2+kaTj1G7q9ptJ2k09n+v3p/tbZX+f53Fmuz/XU8nPnJN5 QF6Sk7yPUEeqO9bUPupeNa+1qtdLv47bLfR3tiVHyU/y68mk/OFdaIFjwrHf T9KpBf5WfCeY79h847Eu8b5nOm5LPH4rj8Gx6nn+RV7PIj/X9Xi1PSbzk3lK /n4N/JFU95krnyflK7WeGk3+f2W/jS2fqTPkAesE86uz/S7GKr/rZp/3h9+B 5e63zHN3cUxXeM6V9tvarvS8ix2Ltp5nmfsut9/R86z2XLy3rEu6e3B/37o9 v3/nNsQar7GX/d62a+1/b59teecg5ws83mqPyXbrPUaB/b62G+z/YJ9td/i5 t99tdJvtnq+7177DbTgn7z3MtT+BLW7Pd1v9nmB9Yl7utH+l7Y/2f7LPtn/5 mf7f7nOlv/9sf6rPrKNjtt1r2+h1cA3Uv0+StHarxy1eC8ekzlOnf0vi8Bav u6+/c27WA2r+XtZ91jveNVnz/rU/zJbPxXdQ1tch7kt/uN/xudBzc6xB7rvL 49DyzjbMc9MfbJv8nuOE6xHXxHpd6Ln5nvNzvTm3od5Qd6g/rAfkPu8iC/H9 0FDuNYPt6btic9hevg98B1szVCvGwt4S0qFvYKuHasuNsDeFtDbLMHem3BiA d+1D9f8f2L9C+VkWdr9MMS8Nu3em/BnP+UN17BR+D9WTOrBXhM68NuzG0Lmd Cts7VGfOhz0wExeawj8mE1fy4B+Z6fzrMSaZcrsB/EMycbkR/MMzcWcd/LNC NXYZ7BchDbsWNj9U+5bDVgnV0rNDfdh+M+yWkH79Cbsj9LtnG+zW0G+jP2C3 h7TsV9hfQr+TDsP8DUO5x9/E3/t38U+wP4d4zPj97RgOha0Uqr/7oO9JIf05 GH79UK4+AFshdAdpAXt8Jr6Ugb80pMkTYE8L3V94bsln9x/e1Q1pGM9nX5/R Trw7IaSxpfDuxJAGHgD/vJD2lIHfOJRPr8K+HKpn78C+FaqX+8M+HqqVD8K2 DN2TuI/ItJcD4D8XqimH88xDtYOcXWDeHgT7SqieHgw7K8TzQ2Dnheppadg+ oXvCgbAvhmrrEbCfhWrQ17AXh+5G6xnL0B3rZtijQneIVdx36C61hvsO3Z8Y g12Ow23knnnbAfakTPpyMuyRoTsc49ffMTwM9r1QbX2TcQrdBQbDnhzK9+Gw V4XqdAHshaH72hPkfugONDCUV8yp52GfDtXkl2BfCN1pZsPODOnB+7Dvhmr7 R7CLQ/eFz8nTUH0eBFsupLcjyJHQve/6UO4x76gZ3UK6wXUN8dpGc0+h+yN5 2s9cHQV7Q+jOO5LvQnfK/WDHhO6UXUP75967c/6QjtGeYp/61COkUcz1cs73 ytY63pu4j0+9lxPw/aLQ/bFWSGuoM2eGNI76xpg967h9EuIc+cYzX+Fzpx58 FdIEnv9qc6Ad7IaQ1lULaSL1cHfOhfJuN8fNc3LtIfNtGOyJmWJF3q01956C rRy6734Z4iu5+kwof5g7k2Enhf4DKx/K592/RXgOof+9mN93+P1Ezhm6r5M7 U82fR7j20L28Ykg7qBvTQnnIHJwSyiXm0Wuh3GPeMT++dY6QX6+bY0WhfGOu UQNmhHSAfJxuTtYI1RXWlPuZH6H/8I5GPJqE7gEfhPKEOdIqlEvMI+YZ6wRz jXkz17lDLi8xn8tm4jE5/HZIF6gJ1KH5IS06Dm2OzfTbd05IR6ghzI9FzhHm 7srQvFVDNYD6f0aoFrIO/g8pDab9 "]], Polygon[CompressedData[" 1:eJwtlXnQllMYh1+d+5GQfZtSfIkySSlSKnyWss0YKSpaNBMhNaiU9s2Sklal RSUtKG2T0jItiilJkaIN0b6QdsT1m9/7x/V913mf5znPOfe57/spaNG2Xpsi uVyuLwR058/TMC7lclOgdJbLPcZ4NP4B7MdLwBj8G2iPd4IP8S5QHh8Bg/BX YSB+JryDf5TsQ+Dj5N+K4qNgGj4YGuH/wSb8CKzGV8Ft+BeaE68J4/FJsBJf ATXwZdALfxm64lOhDH4teziNt4MvGX8VvldzbserQE/8XWiMn8v92/GjcA3j 6xifwf8OjD/j/1yohi+EZ/FSXD+MF8Joxu9B5+Q9PYO3goF4FXgeb52PZz14 Er+I53fhx+FPxiVhLP4tNMWv4Poh/CQ8rFjD7OR3LsIXC7x68rvHwvTkNXyN rwnHrqbmxNeGfSVcibcLn+2bUBH/EYbi3eAJ/HzevwM/Bj8w3qgY4rWhMr4V huM94JVwTigXJsJZilvYhyjm4TOclM+nYeEc0Nl/Al0VO3gbnwzz8PnhWN8K LfEHYQL+PizFl4T3vkQ5gC8Pu3LiJbxHOJd1Bk3wS9nPPvyEzpDxgvDciqFy v0v43aqBMeE9aO2K6Qb8e6iVHIN1+PpwLPXbQ3i38Nq0hxK8qyzjATpbuDjz GvTu3fArfjP00tnBANVKuFY6wjncfwfjn/Ft8EK4RlQbqoFiXD8btuAN4EL8 7vDcOxV/xkWhfvI9u7nWEP5SbkBwLYPNyfcU4FfDi/gfcDleN+wHYSR+fbi2 lSN98L7h2ukO53F/IePftDe4hPG9jPfje+E0Xls5hm+Ef/B/YQP+KCTuL5LZ tSbV7v1cfyu5hvfhe/ROfE1ybT7AuH9yjd4Aj8AwxnOSe9Uh5XxyzxqElwvH Vj2qLM/fx7gf/jcUz5zzynXF/LLMNaja0x5ymXuEeoP20BEvFu416oHHdDbw Br5eMcQPwmvJa9ilXhWO/Soox3zNwr0p5Wv/aPhZ9YBq+O/h3OijNeKnwr1D MSvP80/le1Omc4W94disg8GqzXBtdYLnwj1LvUo9soJqE2Yl95TZ+Bz4PLnH 9deaMueuYjxNcylnVZvQPLyHlI/hdP5/Gr52C/yE3xjuJeoRj+M98/1GPXAb flO4d4yACzL3RPVC5dDQ8B60dn0zxuPjwr10BszCZ4bfpTW/rtjDyOSe3iIc oyyfQztV6+FY6v399DuMwnsr5/BK4VxWDu3Q3OFrmnOqahPmJsfgnnCOK7fV U+4M14ByXz2zTriGVDvq4VUZ/xLeq2peuXE43OuVI8rtA+Fvq3JcuXQCvkvO qauYq0241lXDU9SroGrymibma0C5rzOtFa451Zq+qcfDPV+9XnMWhGtAua+a rx7OUeXmarg93IPUe/RNvCvcY9Rb9M2aoLMMn4XW0CA8h55VTP8HpIcrgQ== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHv81/MVx7+V9/nUXCamLNTSbO5zSah1U1EUuqkkrdDNiiIqpRhTzb0x t6kUyViZy8SMZdjMmDGXMbNcCimXqEj2ej7O6/eoP16P8/68L+d93u/3eZ1z vt+Ww8/qM65+rVZbUa9WayBZL2q1HYQLS632jLCvcIAwVn2HV7XaPWpfJuwj 7C88K+wnHCi8INwmXC6cKHQRugovCguEK4RXhNuFq4S3heuF64T/CHcK1wqv CXcIVwv3CnOFWcLrwiLhGuFfwkLhSuF/wl3CL4X/CouFOcKNwg3CZOF5Yb4w W9hRZzlYsr1wtHCk0FboJhzh707CoUJrobPlYcJRlm2EY7yunfCY9fUQTvA8 zn+81/PdoeS+hwg9hY7ep4nsaSz8Qu1jrYe5vTze2XMPsU3HeZy+3r5jbO/r 82DX+8JwYZwwwHpZt9w29hdOcpuxgR7HrsG2m3P0sW70nuI+3vZU7834GV4/ yHvW6R7q8b4e6+kzPek5w4Qh1oeu020ruk6zDr5P9jpsGmFd9I20xN6PvP5s 4UOvP0tYa/vGC2O8H7Z/R/e9s/ArtVfalrHCmR4f6vfjnQ8XPvHeE4SvPO98 YZT3527WC6OFicKykr43SfjMtp4jbLQd53nuKbbpc+s61+/JnvjiTSX9d5rw jbBZmCLMLMk5uAcH4Shc3UZnamD+XiJMF2YIl1peVJJP8OCgkpyAr/gl3LrW e8O/a3z+o/zu3D+cg7vwoaH2qYSLS/IefuOj8BvuwhO4CC/hFDEAvuLDxBbi B3EE3s/xeeEx8aCt7ei61Tt0sS3M6+Yx7IYL7a0XvnQsW3jbyTZ19Dx0nOjz YNPR1sU4/nmc13HWXtYLP3pYVy/Pw75jvL6D1zEPHhNffqz24yXjQnfha+Fh +wV29y5beHSmfaJF5DvzRk+U5Go/29fHa9ivr7+xCY70t11wYZDPhl8N9jhc qOMlEl9vqb2+J/zFuobalp7WMdD2DbGup0ry9ie+m8Her7fXDfH5B3jP46xj gHG67YCnZ7kNT8fZJnh6tucRu8baTvaGJ6O8xxh/D3YfvILHcPinJbl5nufV xYgRtuUM6x/kPr7h40TrhIPneA2cneB58Ppc70ccGO+1dfkAf7m5JFenbnU2 zsX9wsELSt43bzzDffDzZ8KvS+ZU+FDHVcbgMb6AT8C5273nrSX5D/fnlcyN cHmPSF7X5Rj4CCfgKDrR1dq6DjPgaRsDvsO5R4Tfew/WX+l1jBEf6nIkvIYH Dwi/9fnhLjmdnPibkvGVd7m/ZO1Ql4+RxLE9I9dxxvqR9zjV93FLyfjA/gtt A+eb7zNy7rk+OzbNsV3k03nub2ub2vk+FvhMxLzbfE9w4a/el/u4w/fBWe/c Svfirc59l3Xf4HNN8h0s9flu8jftJcLdnsMdL/JdPlqyvpnl8fs850bfF7pv 9v3e5H2WeM5MvxE54HfCQ9bDmmW+23keo/+P7p9k+bDn/MHvjb5dI2MWsetB 28faZur/bmQ82i5SF3roI74Rh/5Ucm1362nqsaU+D/ewm3UQh7hvuAEviCnE lmHe6wnr+XPJNjFw98j1T/rc2Pwj9z/lOU+XbKNvuvXDJ/Ii+QZfCs3/tnPW 30vmzgM9/reSHKzLqftaMu8A+8s/S/oRceDTkrEAn3qppJ/C0VdL+hH38Y7v Ez96s6Qf4V//ti/gv8+V9Gv84o2Sfoe/v1ySq/jaipJ+jA++VdIH4cE/Svoy 9/Su7407eM93QhxaXTLOrvY38Zc4SCwmVhE7V5Xk6Qcl4+84S76JxcP9Pcz3 9IzvZI31ELtH+F7O8LyVfouPS8b38b4z5kzwujVlS532sfWs8tqx1rXW9lL7 ECfwpboYzZ78XimueYjhX5SM46P8PdJ9tInjxPr1HidPbHTfOutk7ZfuJ5eQ n7/yXGygDmMveEBeh0+bPIeacIP1T3TfJuvZaL0TfY7N1jPF7clet8F21iL3 Ynz7yG/a+G7l3EC9F/bnS93/c+tt4HoCuY3nFLcZv8hjF/vc6/wu6GhoPcQk OD/J567ntYx/y3Metn3Y1shr0cn4tp4D34nvxFj418hziFvEGuLM2eo7osq4 2Twyn1FLbaSeivSTDtxDlb60neQOVb5tM8kmVd4vc7/w/PaSX0X6VaXxRlWe c4P6voz0v4bq6xh59gZV7oH++mpvU6XPUmPwmwF/xi7sI7+cJjk5MifvaJvJ TQBekl8aez7jmyNtwp4dqzwD9reKzIXUB1/z7pF8wK5SpW1diMNV+lIn7r9K Xx2t9qrIfNvU+1C3Ntb4zlX60xr0RfL5KM5SpR8eJNktMv+cGflNe7jah1VZ m4xRu021JZ9zF8SKtZJtI3k6m3eOjM3MHW17PpP8PDL2dCb2VunbfanZ/Pvr fckPI3nfTvKTyPjTR3KU52xf5Zk577rIecxh/9W24QPJI20bcrrbs/1mvBf5 oIW5c7vk/Mh4tkuV98VdkbfIbd19n+QzYji5hxxE/uqPjkh+nCj5bmT8beF3 nOa55Cfi8AmS70TmA/LCrs6P8IL6g1y13Pv2sGxmG5ZbVz/70k6R/xXQbuJz 0dfYdjZ3m/6Rksd7PjkCnct9xqb2E+qEJp6D7zS1nimSV0fm2d6S70XmlRmR PsH7wtfxkZwdgI7IeHCyZKsq48Ve+FHkWfkPaVy4Zor0M3yM81MfzzAXaBMr 7pK8IzIH09fS/dRDe7o9RHKfKuMgc1qZR1Elh+HvtlXyH+5/FOlzq6yjlfXU q5J78G59pO/it+RT3pH33xQZO4gbn0byCk4Nldy/ypg3WGhdZe12sOQhwi6R sl9ke29hlu92muSFkbXatZInReaWSyXnRMbHpZK9/EYvS74SWU88JLkssi5h z2Mi931J8sXI/9Vek3w18r+xqyRPj6z7bpS8IbLOgot9zLVb0BFZTx0qnUdH 1nDXS14XWetdLnllZB12meQPI+uoqZIXRNa1V0T6EGckNsyMjA/HSt4aWeO/ LvlGZE3ztuSKyP8Fn+XNI+ukvSTPj6zNlks+EVkbPSj5QOT/js/gX5H/HT4N nyLrsLmS34/8LXGN5CW+zyc5d+T/kfdKjojkwSP4b+R/lj+QXBhZ53C+xT7j m9xr5P+OL3D3kXUb8XKY/fktxiPrtu7YUGWt+7zaz0X+l/ko7xxZOz4u+Vjk /5pL4FPkf5YrHW/JO7tXmQOI/7upvUeVtcVtkXfE/RDPFkTGNO64h++5aZVx n5i/p9qDIusJcuauzps7VRmjic97q31KZL0A/+4M18FV+iu+2qJKO7DhPvXd H1mP3i15T2RdOzDSh/Af7mae74eYtNT+vCjyrrnnrpLNq6yj9pM8NbJW+D8T 18sn "]], Polygon[CompressedData[" 1:eJwtlWuwV2MUh3c5a22qczLUuAwq98sJufbBVySMW+63xrjN0DnphsmQMEpU JITcCkVKRVJKhIRKqUjposs0CWkqSeT5+e0Pz/yf/d97v/t937Xetdrd1Hhp Q9OiKAZCDUzLoqiHUVEU30Ff/Dh4GZ8IP+Gnwlv4GjgdP7Esiv34PYvrj/lt D6PxJXA+PgQ+wgfADfjxPL83v/tAf+gG73DvPXgA7wdv43dqDngHGKNvwxn4 M/AJ3gnOqcbQuyPgTHwEfIZ30Rj45TAZHwcd8RdhDt4V7sbvgZF4PRzN3K7l +gW8qcbR+uB1rr+H3vgd6bEmwHz8ZHgTXw4/4KfAWHwV9MJPKL3WljAXToI3 uLcMhuNPw6zwmm7GH4fp4T3rkl6Dvtda84Ln4YvwGn7GT9Oe4GuhJ34s3wt+ 6+AV6AyPhtfYiD8FM/EW/Dak16S1KAbjFR94FV8AffCr0nv7Lryv9cBr+EJ4 CO8O43UPrsbb8f09eIH3gMNLey1cAI/AFO5PhbvS39DYGuM5/FmYHY7hAM1d McA/gI34ZXomnCPKzXEwP5yjF+ITtW58EIxVrsK88BijNPd0rL/WmpVr8Fh4 jMH4E4pROAbnKfeVM+E9vL9ag+Y+Cdqytiu5nob/AwM1VnquGmO0cif9rfbh WF8E68IxH5nOOeXaXK4Pw9vAbuUm7K+zBb3wnTBGuZYeS2s6kntHlX63b3jv r+F+k3QMrkjPUXNTzLW3F8P68B4PU75U61VMDuTZA6A3vktnknuTlJP4t/Aw fgvMqJ5XLkyFReGcmKmzDoPxxeFaMiPtqinztBfwJP4jfKi90p6Hx5itsw1D 8KXhWvJp2lVTvlTuw1CdtfDZnJN2ndGhGrvKL61JZ+2b9Ld05tbgq2C4zo7O NL4EhuErw7k/Ob1WnYF16Rqn2qaY6Wwvh9XhM66zvxBWhGuAatXS9FiqWYs0 ls5c+BnVztXpb6uGrtDcVAPCY56bPlM6S6pBrYhF69KxV0wOwg8uHZs+yv/S NUa1JatcnpA+u8ppxeq+dO1WzBTLKemzq5gWvN8Etugswt/c2w2/4d1hD/5v 2vVM8GzCVrwH1OB7lX5X/9XhtdAT3xGO7fR0L1GM7033BPWCl8J7vyxdKxUD 7cXKdG/RnihWa9O1TTFTbs1K9xbl2O3KXb7XqqoJyq0F6VqsHNPeL073DsVA ufV5upYrx5RLX6VrsXLqUMY6pPTe6gw2w5vDtvCadvHsX9AY3iP1vtvStUY9 8FadzdK1QTXowXTNVa1VDxqUrom1Vc3Q3NWT1Iu0hrOhQ+lar5pfj3fFm0Mz OIbr66tY16R76Y3Vvf97qnpr6dhozkeU7gl1VU1Yn+6h6p2qARvSPVO9cgP8 gm9K996NiiH+J2wOr7kl4+1bOraqSepFl6TfVU/ajP+afrebcgb/Pe2b4A98 a9obYDu+Le36xnXVGrU29bD/AKxBN3g= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0ElOAkEYgNEGnBUUFUR3LL2FCZ7AhXHtAeAi4HAAGVTUa4gKR2DtXlGc BadXkcXL96eqkqru/G5pqxiLomibdcI8zjRJ0mQCG3MkmWWeFPvhjC6ywDJL HFhf0RxZ1ljl0PotG+aOzuiFTul5uFfbOqln4S3a1Am90TE91bieaEKvw7v1 WH9pRP8fciU/1PmixjctulS55IhN5wvsmQcMeeeTDyq88EqfZ54o88Ajd/S4 542d0T/9A5diKnE= "]], Line[CompressedData[" 1:eJwt0TVOhVEQgNGfdaAPd3cNJGjJElgAFOwEtw083N1K3CE4BJdNcAqKk29m crsbautobY8IgqCTUW7ZJeQ4pnE6rvG6r9k6oVk6qTl6qIU6qwU6p0V6pCU6 r8W6oKV6ouW6rGW6ohV6ptW6qVW6pb/UmLf1hVeGeeKTL97ZoNK7dT2l2Tyk I6zSYl/TJY5psg/qFZcs0ug2oI/UmuvIZ8aep9N6QIO5Xy84J9c+pd/80McD z9xxzx713vVqhmaSSjpp9LgnawoJJJFIt3uMxhJJNFF0uV9zww4fhHn7/8c/ 1lw/9g== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{332, 331, 335, 702, 693, 694, 692, 696, 695, 625, 698, 699, 697, 701, 700, 626, 704, 705, 703, 707, 706, 627, 685, 791, 670, 691, 648, 689, 647, 690, 624, 334, 333, 332}], Line[CompressedData[" 1:eJwl0llTjnEYwOHn7ZUs0YKGsiWfqA/gwGkzOrFkL0szlEKyZlRCqYmDZvoC qSRpsy+FEkUq2jfXMw6u+d33/+x55k7fm525LxIEQSNZhj0kxwTBSWKiQRBl 2RzRgBPmRZaYY4F5jjPDLJNMM8Ux/vCXMSYY5yij/GaEX/zkCD8Y5hvfGeIw Awzyma98IYc++vnAJz5yiHe85zVvecNBXvKKbnrp4QCddPGcF3Swn6e00UQL zbTyhHaesdm/qddctpnPaTU15LHd2x09zwpzgcZqKlt4ZD/FDnOhPqSW0+z0 Vq4XKCbDXqT5nCHdXqEXWWm+pHG6lTQe28+yy3xZ67jLbnulrtYSXaVXdI1W abyW6lq9quv0niboNV2v1zVR72uy3tAkvakb9IFu0lu6Ucs0RW+H3xXeinub YpoZZpljngUWWWI5PNLwDsO7JBr+x/CuvA/QSxMNVFFKPjmR/3f9D0C2bjw= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0cdNAmAAgNHf4AnF7gAcsNcBnAC9OAKJykkTrwq4iYqJvWFviL33uo4v 8fAW+L54amxwtCyEkKIpEkKCPMnyEIZIkKWfCTJMMkyOKcYZIM0IUWaYZZo5 8lSwwCLzLLNEJausscIG68QosMUmO2xTxR777HLIAdUcc8IRpxSp4YxzSlxy QS3X3HDFHbfU8cAj9zzzRD2vvPHCB+808MU3n/zyQyN9WvbSQzdddNJBO220 0kJz5P/BH26qNdw= "]], Line[CompressedData[" 1:eJwl09VTlUEYwOHFAwh2B6Ck3d1i14WBioqKio4zoh4srDsTC7vrSv8g70zs 7u54drx45rfvd2a+md1vT35FVUkyJYRQR00ihFLKKKeClVSSZAPV1FKUGkJW WgjZHLLO0WnaWQt1Pcvoaq7QFUylk7lA17GELualupwpFJnztYq8uKY9k81t dZK203JtoxO1lU7Q1rpYW+p4ba7jtIUu0mY6VpvoGG2qC7WxFmtDHa2NtEyD jtI/jOQvC1jLCLYznB3MYw2r6cAPfvKd3/yiI/W8M0EKaaSS63l9zSCdBmSS 53mSXOv5+oxhPGUocymM56MHOcB+BvEwnhP7qGEv/bkbz5E97GYXfbgVz5MC 75ulPblCD64yI+7Lb6u0ku5sZCeZbGUb1WxhMxlc4jLnuciFuFdOcZrjnOQE 6RzhKLXxLnE43hGOMZ2z8U5xhm6cYyY36MV1enOTEu7Ql9v0o47Z3GcA9xjI A+bwmME8YghPKI3fzt43aQ5f+cYnvvCZbN7zgTe84y1ZvOI1z3nJCz5yLfH/ P/cPt89fsg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl01VvFlEUBdAp8LV4cZeQYG1xKFYcElKc9gcQikMCj7g84EEDFGuKu7u7 u7u7FHeH9YWHlT3ZJ7k3mTlTJqVfUt+IIAgyiA0FQQxplI0Mgnkkkk4r5tOZ +KggSJED6E85FrKIBSxhMeVZxnKWspIVVGAMYxnNeMZRkWmMog3DGEpl93WX G2jLetrRgypm8fIx7ZnODFKpzRM6MJNZzKYOT+nIHOaSRl2qOq+nTOIZyTyn V/g8s95yBMOpx0syeMFrXlGft7zjDR94TwKf+MxHvvKFBnznB9/4xU8a8oe/ /CbC/QGNPGeWWchEJCEa67PKbESRg+w00eeSuclJHqJpqs8n85OXghSgmb6w LEIhilGU5voSsiTFKU0pWoT3wM70oRPJtCSBVGqZP+QR93jAfWpyh7vc5Da3 qMF1bnCFa1ylOpe4zHkucoFqnOUcpzjD6fC35AQnOcpxjoV3hsMc4QCHOBje M/axn93sZQ+V2MkutrGD7cSxha1sZDObiGUt61jFGlYTw2CG0I2RTGUKg5jI JCbQlcm0ZiBdSPcu40L//9N/jQF+hA== "]], Line[{1608, 1403, 1407, 1411, 1412, 1413, 1414, 1547, 1632, 1836, 1631, 1834, 1630, 1835, 1652, 1833, 1629, 1831, 1628, 1832, 1651, 1827, 1626, 1825, 1625, 1826, 1650, 1675, 1623, 1824, 1622, 1682, 1647, 1665, 1621, 1644, 1620, 1842, 1841, 1605, 1840, 1643, 1653, 1646, 1847, 1645, 1666, 1606, 1843, 1624, 1654, 1649, 1848, 1648, 1667, 1607, 1844, 1627, 1830, 1693, 1829, 1828, 1608}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.4999999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.4999999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnGdUVVe0qFGJBQtYklgi9o7doCbIVqNREQ2KWIkFxdhAjb0kVow9Arao SbA3VLAiGo4VERsiCAgCBwEB6UUURV7eGOeb+43tD64vue/l3ptfZ3xjrrnP nHu1ucrcjZxmDnUua2Rk5FzByOh//y5f8q6duVu0bsL1VbpvrXyUPgGu4T4O j4RNywYUrrENFB5pvriG7/nDwuiP7vc0+kqva6IPow+jD6NvfOJVxFDnu6IP ow+jD6M/opLJtO/7PBJ9GH0YfRh9i8ufTvlyeKTow+jD6MPol5nZbLLxlKei D6MPow8HJpV56phwVnmxpc7pZCu94uji1ahSSLBwWt64tNk7woWb+2Z9FRf4 VBh9h2kNO965+Uz0YfRhyuu+auFzanCylIcpD1O+Vf127bdGpEh5GLnnyy4n F45/IVz84Mu236ZmKAl7LFd+5xKhi52/t2r7iTsVW92gIflL7gvz/uCD6xyt On9xWRj9Gf0tklKy40QfRh9GH+Z9w11OrDtcsZqH4lW8J2fkigRhk4j9s3qY JClrQ1vsaHkq6j35XJ9jWY08nwvHrvN1Lf9ZmmL78c4el5Y9fE/ef6JfRtqB dKWhj1nQbq9rUp73ByOnPPqnrXQzHrTNkvbE+6A9wfgHUx5/Ka/1n/YD0z7w H0ZOe4Cpf/yHkdMe8A9GTvuoOSSxfJzzUWXLkxEeJ3bFKxFXN2SUuxStFJ0Z W92jyTNlt/Fbz+0bHin3J88wHfN5ihKwOXLuUL9ApVvPOZuVgDRl6c/Tfhg1 bpOudqP0la0cDgmfjz5ycL53rFI0cMp93fP7yupHWYPvLUqV/xu5pth2+4ZM 8Zf3gT7vq/uz6z0H7Y94z76v+0U/bBCnF9a2F215mP6rZZ7H++J5MPbxvpHD yPk/uOPGXZG9F0XpLE4ec7CYNUvxPBHaZuOEcOGC+ybLwgc8FD4Z73agx6Rg YRkfDTy7yUubkC7XhKfcvZtw0+SsMP3PpNXvl7LG+Uv7hHm/lvPd/2g++Jxw XLT3Rb/ZOtFvX5QWtc7+lujDlL/RMHH0weAbwrse5Yx0jbkt+unty73YdClE 9GHKu64pGd41877wvj1rWhsZhYr+tQSz1OH3wkUfpnyV+ZuOJq4NE17wzdaW t6tHiP72bebPG8Q9EX2Y8vqWuw+f2BUlbFt2X3OPJjFKuf3ulsHV/5D2QfuF qW/GK8ZrmPbq0zDBznhKovCkTc5b5nsnyfMYf/h/5nOY+RlmvoWZP2HmQ1g7 v2E//RdmPITp7zD+wTyP8ZL3ta/O4qpN+2Wo9hjaI++L8Yvn1y1KeZCSrc53 9CfeF/2R8QHGXsrjD3KeD/M8xjMYfcbrwJ906ctsk6wZr2HaD0x/PLple5N7 JXFKtYpt33w5PPq9+X5px9sNnrR7rrwb9aPT+b6hMj7vajRpRprZ7ffma98B k45X6ZipTFtjZxT5SYzyMOhBWJmez5Ts4IAzBVseKYOuj0sy7pqi/PhFv5Kr IbeVm01ql8vt9kJZenXN9YU9I6xNV0eezpy2XviJw4vxc4L2CodFu99fsfWC cM/53ke+bfOH8Fb7Sc9CM24KB3vNDul5MUj4txjdzNMVQ4S/WPX15KmuD4Xn /nzPZUndcGEzy2GTOi1/LNy/d/T0PhZPhBNTJji9cY8WNi9ImVrVOk7Zsyxy 8Fm3CN0nK2J9C/58v1dWu6dt8r4vvLFWouvk3ZeFqR/YO+1uu7Kzrikwz39t /6bzixYJwv0OW58KfJKgeHR6Ocv1u4dS/n6WW3D09qj39Ce2LXvmgU+isO/y vu2OT0xSmq8YHmVZ96m0J7+Fd+98vjhKudx4c1rE60Sly3breZeqRCn5a2KS 11klif698pU6ne3+XLjeaNsTP6er3DXe1HfntVRht872FnPnpSnVjj6cuvVx mMQ7UwZdjmwxNERZ7Vzp7r4Atfzei590+GFgunBWldHHR75Ll/5jc7znzMXl Xih1B7bILjS/rkxPLmcz2l0tX9mz/qkJYZnCo5LHt+7xU5ZiVTS7bN7Y/RIf ddm6xHhR/aQA4h/Ky3hmYBnPDCzjmYFlPDOwjGcG1sb31A/9FaY/aetPG98j p7/CxANafW18lnLVeserSLU9ML7B2vjs+ymNXT26qPVD/4eJx0IjD88O9/CU /48dvfhYqxWqP+X7XRs7zytGefPG4e7qmARl+PNfxz/b/0hZZFPzaFjbFPV9 pqcfiNMfEx58bYo+rm6s8qO1ae8qzeKUpM663vND4pVhg8fUfO4Sq/icjWrp NUuvFJ1t+ay912Ol323Pwce9kpV2NrFGH206ryiNHlVzNslUJk0/GHLrWKzE N+NqJzjnJp1QIifXvtrOL1Mxjtl7cl6mz3vxHePluorTT9jkH9Jp32/f5wvy Fz6LFyb+Yz6h/IHHZS4EnFLry2Nh3/GPBz5VTvxWoZ8yRo3/tM9n/up97vbE ebfU/j3j/qAFHifV+t43tm3bsePi3osP698e5junSK9syZzulJiixousj/CP 9RFMPAITT0p5Q/uA7dyDitv7q+sRn9AdIdNPXlPM3Fe5Vjusrk8CA44/qPV7 lvw/89PgKpfTpj6L0nW4taG/zsHLulaVRYH1TFWe39a3jnNhmLBP2/weZ+6E C2M/z6vxjYX72zMPRR45OHXGybgQ4e/jey/P+vm2cFp8UNCGbneEmS9h3gfP 927SfaZ5pesit2xypvnK8VeFM+98vauV02nhhLtD2zidOSfM+CPxraG+d5q5 e9+pcEbtn17DkyrFXJHxSuJZg7wgY2LogsPXhaeW/16/uyRYykv8apD/br/s fqU794RNzgdmbncPlfISrxrkBxwHJQ0qVMe32Clh6eP+jEMoL/GpQb7YdMyz TypFCZ+tl5DW8lyMErjT0enhjGjpD+uj71ac1EMdD/dYLR6bUU8dDwPehVUy irok3KLLugWfLjoifHLWOtMtX52T9o89zGf8v/sXl2YO264XPnXlxznfznim hHRK9N9ndOc9feJhyr+peS2zWwN1vKyzyy23V0GSUtuolWXE2CiJnxu2DIiu WytSud3Esb7zgyR5HvMd+s4ZQS71j6jj7ao5G2c3/zFFnY+Irw3yB4EP0st0 VMffDFvPbJMKL6Q8/Q15d6/H05MvquPziOa7Zmb9nKEMjTVtdKPPPSW95fiX 435IU5oHFhQ9LvNA4nni++oTjrc61ChNsTtlbjugf6BSbXjH3JE56v8xf/L8 /YuepgX3zlQmO7b6pX7OHmXeGtfjVyZmKS39t56r66DGQ++8zPYVu6j1Hfm6 kt/ogWp8tPJWGfeGP6j1v3XesAmfP1TjoZTDjmtn/q7Of+VfdTepuFONfzpU D6jfbJk6vvYu23DFhi4REr8TP9t29nw70ixZ6TbAuY59+QAlOKzawhqjMxSP wKyVX72+IPsLrA9m1lizPGFWhox/NxZ6zEw5mq7cyLz3IiUkQNYPXgPuxdcf uk3694UNX3RfUHe5cEjv4oi5IU+UqcYmP0z4sz319NNHFpqHKwfL/VDlkcuf 8bb59AntCx8q5ql3Ctzfpsj6ue+j1A5pQ/x0xA8w8QNMPAmjH9TgbkLtNltE H0YfRh/ueEE3uPmbBJkvH2z76U1MjefCLnO/OeLZ+oVwZftPHWx6ZwmH78xa bnQiR7jpWvuIaL884TkLLrS9cKNA+Nrkeqs9QgqFqw9f9sQl5rXw+L7POgxI eSN8qku/n5rmFwuXNDn+tKSk5L39TuIf/IHxB8YfGH9g/IHxB8YfGH9g/IHx B8YfGH9g/KE94w+MPzD+wPgD4w+MPzD+wPgD4w+MPzD+wPij3S8m3sQ/GP9g /IPxD8Y/GP9g/IPxD8Y/GP9g/IPxD8Y/7X438TL+wvgL4y+MvzD+wvgL4y+M vzD+wvgL4y+MvzD+wvgL4y/jJ/7C+AvjL4y/MP7C+AvjL4y/MP7C+AvjL4y/ MP7C+AuzXjs7rNHjht2zxX8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y /2H8h/F/6tUDH3v+kCP+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP 4z+M/+btWjp8dC1X/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/ GP8f7Tq+dUH5fPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8 X1uhfViqTYH4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/lvP PV3T8eeX4j+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+wwm3xryy yYqX/VP8g9k/0p4Psx7k/cDsp2jPd1lv8b5l/9Kwn1Kt8rOCUdHZwjcWTP78 boNc4YWJqXOtJ+UJtxvictbnSL7wsz+y8xpnFAhr/SOexn7iN+xjPkSf+QFm vIQZP2D6E0z7Wq/btL9bgV72szh/rZq3fGPFkCxlnpf9Lv/QuPfOSzifYf3G ft7yQ00OlqmQJPUD45+524shfuapIoeRX5545p2rZYbIYeRt9/4RXuNwtshh OR/e0sgi83SuyGHkd5e5rbwdkC9yGHndmamRB4JfihxGPm3soPbLH78SOYzc b5Cv25iEInW/38DIK/b4OMYy863IYeQjLBZ1qlH0TuSw9nyZ/QjGA5jzLtbL 7Kd1jd4z1cfRW9afMPunsxrGdGrU84zw5nkrXMy779Oxf0h5mPUr+4HIYeT8 Pxx5Mud1zTKJ0t7mb7p4KLh2inCtGSvsV3RIFx51sKnRZ02zhY9sXTu8sH2u 8KtV6d6hX+YLfz3HrtzJfi+FtzudHbXO/pVw4pDaPpPGFQl36bW0fM/pb4VX dYh3rLfgnXCbljUqVvqh5L3zXeJx9nO478D7z/R+ec+3bLrsT2vX+zyv5W8O dllVkoUZn+U8dWn94oNN04QZr+FJY5KOOlplCjN+w2V+HX68UuscYcZz2G6j f5mkz/OEGd9hryXmI6/0KhBmvIczp608uXtQoTDjP2w9Otl4wajXwswH8MYB NmOGOr8RZn6AY7qd9G07u1iY+QJmPGK8ZDxlPmC+gLl/wfk74y3zAfMFzHkx 91Oob+qX8VFbf/Rf6pfxk/pDTv0ip/6QU7/IqT/k1C9y6g859Yuc+kNO/SKn /pBTv8ipP+TUL3LqDzn1i5z6Q079Imf+R07/057f09/ojzD1z34O9aOtb/YP aD/UL/uv2v3A/+j5P+1t2NWFr34q0v9t5/8pvdbmNvwL5/+h/tGNAl/76OC7 PVf+HHbzkM7tsYlH02fxsp/b5FyodXRRovBVz10v3GukCo/73mln/9YZwj+2 3LavxCtbPR//9PWrJ965wuYVvv3mvF++ep728spB9xsvhS8nNX07I+SVsEn4 2qH9Y4qER99IP9Ik5a3wkTN2Je/y3gnTXjgfOzDo6rCFH3DeXtp5eWnn4drz bt6vlWWNT/efzBZOiDsTZlYxRzh737bhH+epvN22a61VtrnCh0zrbP+pa56w 7UV/+4ItKo9euif89ZJ8YaPm1p7fhatsltrg4xlXCoTPe1wNjarzUpj4E9bO T7zf5N++cFjzf5zn0r9434x3lGd8gxnPYMYvmPEKZnyCGY9gxh+Y8QZmfIG1 5/Ha8/b1r3bNGlCknkcQb29e7toy7Gi6jAfaeJvzVTkPNMTfcl/FEH/DxN8w 8bdy0Xvs7Ddq/wu76ZpSkqm+/9LO87XnQdrzkQ89vydep36Jz2HicZj4Gybe homvYeJpmPgZJl6GiY9h4uH/8Hm4of4k3jW8/2prYr5auuac8G/DyuwIGblb 9z/9vHzzEbNzthWeSfuz+ClyQrkGav8Odvaq5m+p9u8pfaZcmjVY7d+rq9c+ W/OM2r9DjZaaZAWo/btxdtz44GC1f8+K++rCwcdq/75y/3DVFQlq/64WUHmS Y6bav8eemOnftUjt3+UP7nVuZlQibHd85bH01yqXdn78d53Xsj9Ae1rTKvds hLPK29MfWcbY5Uh59g9kvtg+L3/AMXX8sB01Yv7gbblSnv0FmT/Kvu58OVPV Nwp8cu5KVJ6UZ/9B5pOZS+e066zy+U5jCzqZF0h59ieQO8aUnPZaoPK03/Vd Djq9lPUM7eXpjrmVW9ZMkvf9/QHLbefLq+1lyXwrv9jWavxgtupdLxdztf3U cTB23tZbjSdOTgjMbGKptqeYOskVm59Q44vmDW8Nyjiktq/WlWzGlbmoxhvz TdscCDqttrfFr06ci7mhxh833m0u2h+gtr+g59Wr+IWo8UitzFy7ZcFqe6wd Mc/JM0aNT5yeDj88+rHaPicHRvm5pqjxyum7/sWfJ6jt9fy5HqY2+Wr8YnTZ fFj1TLX9lnZ+rr2/9KHn29r7V9r7Xf7hyW2Ml8YpZVuf//bRsvj3zuup//hl doVTq6jnK8THxAsw8QBMPAATD8DEAzDxAEw8ABMPwMQDMPEATDwAEy9q7Sf+ wX4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh1kfcJ+SeBVmvQFTfzD63L9EH0Yf Rh9Gn/ua6MPow+jD6HO/E30YfRh9GH3ug6IPow+jD6PP/VH0YfRh9GHmY+Jj 1osw60WY9SKMPutD9GH0YfRh9Bk/0IfRh9GH0Wf9iT6MPow+jD7rVfRh9GH0 YfSJv9GH0YfRh9EnPkcfRh9GH0af+B19GH2Y8sT3lIdZHxFvSj6a4f6z5JsZ WPLbDPcT5XzCIJf9KQPT/iT/jv0ugz7P4/4ichg59xWRw8i5n4gcRs59ROQw cu7n4q/kBxr8g/EPxj9tviDxFfE08RPxOvER9QNjn3a81L5/7fiJXPYDNeUZ /3g+jJzxDTmMnPELOYyc8Qk5jFybv8P7wn4Y+2H2w9jfh8nPg8nPg8nXIT6B 2U+FKS/3/Q3xIvujyKkP/GM+Rs55BO1By/wf51fkh9Ee2P+B5fzE0H4kP8/A yGlvyGHknI/x/5x/wez/w6wfYPYvJX/PsN5mvIB5P6y/kcPIWY8jh5GzPkcO I2e9LutjAyNn/Y4cRs56HjmMnPU9chg5633kMHLW/8hh5OwHIIeR0z7IJyTf kvZIfiVM/iRM/iTM/KFlOW80tHf2q2HyyyT/0rAelfxL7kMbyrNfDZMfiD77 lejL/WdDec5nYfJzJX/bsL6V/GRNviH74TD76+iz34K+3I82lNeef2nPI9kv RV/2Tw3lOU+GtefR1Df5stQH8zFMvizMfA7zfG1+MfEVLPk7Bib+gSVfx8DE J/hLvEF70rcvO7nHenU+085vxBvYv32P28FT93NkPNPOf8QfvI+BlSolNaqZ J/+nzZckXpDzMQPzfsn/pTzzO+VhypMfy/vFH/qTVfJ1t/kWanyF/fS/nKH9 bqbMUuMp+hP+YD/PR877Qc58yH4Y8yHMfKg9r2E/g/UgctaDMOtBmPUgzHoQ Zj0Isx6EWQ/CrAdh1oMw60GY9SB8dn3jd5579RKPJNsfDHd/rZf4Y3zJ93GX 0vQSb5hv2lCvxjy9ov1eBvur9M+mvp51ni9R4+kyOUe8d15S6zN3ytp47/hc 0S8srNDqVHaecqbxzM4phXrFy8HlsX25UOXMqIdNejWKVxwvruzzfdxyZYDb FcVj6Z/xz5eOEdP3ef3lfFXTe4s93il6xcNnZGatEL9S81cHtFnu3T9QrxQt bjEow1qV/9/ms45Zsad7xCO9ErQtya/H6bBS81vbtA4o83l9vZIy3Wp8z0Oq nHzX78L7Pzf7Il4JW1Q00sXsn5f/Sv+hvSR+0rjgXLl4iTdLy4/9q/mupeWz lpavavFJ0OTKtudkvNpXufvYT3V3ZHyqElTsW3NOpC7fof8v1zbmKWt75TS4 3F1db3g4Delcp2KszEfEs4wn2nzXoP1pI68lxMt6g/Jhnznet7Px/dvzYZsX Z67bujNe1gv8X55TydqJJ6L/0/NltfmxpeXDlpb/arzjTPvx767J/Mj8OjI6 pvumBjnK0rIPfE3nhMp8yHz6mVuWQ7MhuaXmz6Z84zGkwXU/XWT0QBef4mwl e/X804lt7+kOrQvMPtI9VzlQ46R9zp0YZemqbjZ9E8/pereMzDaqGqf8ajXn eULwHt3we/6Li9rFKhNT9wXGjjym+2XZbxa2rROkPSwpWVq32RW98OFqY6Or xMUr4fZuDwMjTr2Xj5vUeNgb60XxirmN28QeRU+VPv2dV06su1f3+VX/AP2o bMXyypSYk6du6AKXPLZc92uO0jiisX+V9FDdkOTjF8aH5irG4wovV3aKkfXV yIad1npOiZP/Z35n/vhs4r52zbtHiHz4xKShc6tGCuf3OlHSulmMsH+vadEx dtHCgxZ+tPCJY7ys//5qPm+gyeR+Sxar60Wrvf2HjjOLl/VTafm8TRfWn9vx 5Z/r5LCVr5v3OyHrx909f+nww+FTutqjPNwWfKmuL4cNu3fV8hu9xEMzwxds 2zhRr6wvnuCe//tl5bB1Yd9zG/RKX7OVU3oFXFGS43TG3z7Ry/5K9eKaxYfS 9YpV0YC4zrduKxXa69K8M/RK/UN1Mxtk3VYuDypedOqdXvZbOmZFnWz1Sq8E lzVzGvP2ofLYckxt38t62W8ZaH4zccshvdLJ7+qoMT6PlV8qLWxtvUmv/Bht Um6bR4TSraxxamxNvcRjJ/bH1x9V9c/2ZdNy1Wjj6L89/1ibr83zjw2Orlk0 Tb3/SnvS5v9/NDR7x6cXvKW9NLKLnHeo1qH3xkvy07GH563fVzmz7dRLavn9 ny6b7B8gXLS53i9eG28Jr9y8zc448abwh+YD4z//HzCw2bHZNe/L8yxtj+dW vfxA2G91/UN/FDwS/nH1kxUzG6nM+p7n3c6Mn2V095nIn7uWXdXCMlG469jJ UWV7JwvXie1zKzoiSZj9AJ733b0j9S88ey5yt0HB7WMHpQiHW7Vbc3FUmvCF y1XmemSlCrN/wPM+8p4V7PLmhcibWHjEbHVOF55T72WnWbMzhR12hzUcUEFl 9ht43tC+e770qJQt8vEfnbhx0FrlisWxMz375Kj1aXU/eZmpyuxP8DyvLkYe Lh/nitwn36zeChuVR6b3DnS1yxPub9Gpx5h6KrOfwfOym0xK6d8oX+RGiXNn Ow5X+Uj0oc9sHAuEd9bb7mnZQmX2P3iedc0g66ZtX4p88KPIW12dVH4ZbDKn 2ZRC4WSTotTqnVVmv4TnbS5rsa2k2yuR/3bNyrymq8pf+7veNpr7Wm2fRd/2 zLBWmf0VnheT8/OLJ32KRJ7u6zU3c5HKW4+GNohZ9kZ4derV7UE2KrMfw/Ms 9Hm9ztu9FbnVXuM7t91UTtxpOf/ChmLhsMhmGfuHq8z+Dc9bGjJip7vjO5Gv 3zKl0UF3lTut3XXXY0eJcNOgdV8tc1L5Q/P5W3T3L7rpr1dWXKw8Nqr7jQ/O 7y+0XdvOvkSv3Gn8y5r24feVeXXyjm79k4OOu43XV3jwwfn/p/qNG2UZpVcG B5XN7TQ57IO/B7DEpNCnnJNeaWnRKtchMfIf/30A7fc7Svsex4d+T+Cf9r2A 0vL9TX+zX1jOeaJuz4N9kZPKZyvJFWrsqeERpevTffH6Vb55SlP7ad6/OkTo ZizOHZ/xXd7/9+8BfD0izy9o9zbZ7yKe2/aNk2le82xlWmNHZ/1uH92DBtFX entnK9dMe1u0Sg3SJY6otbtieo7SbWfdCV+bh+tmVSo3a2P9PGXeFxNcOiTF K0fW2413cfVRHFa4bBhzLF75utvJMK8aT5X+Qdt8lqy8oqtdnLL0k8E5SoLp qgvZASG6atUzuk5bo+bPEf+yXoFZr8CUJ96kPEx5mHhSe3+S9R37RzD7RzD7 RzD7RzD7RzD7RzD7RzD7RzD7RzD7RzD7RzD2s/7Efhj7YeyHsR/Gfhj7YeyH sR/Gfhj7YeyHsZ/1MvbD2A9jP4z9MPbD2A9jP4z9st9msB/Gfhj7YexnfY/9 MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jP/sR2A9jP4z9MPbD2A9jP4z9MPbD 2A9jP4z9MPazX4L9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2K/9frH2/gL7Ichh 9mu5n8x+EIw+jD6MPveZ0YfRh9GH0ec+Ovow+jD6MOtN9t9Yn2r34+R7xob1 F8z6CWb9A7N+kfNsw/oDZv0AE//DxO8w8TdM/AwT/8LUr/a+h3xf2eAPjD8w /sD4I/stBn9g/IHxB8YfGH9g/IHxB8Yf7f0O9lupb5j9CvZbaR/afFvmb5j5 mPaAnPma9kF/175f7fyNnP4P0/9h+j9M/4fp/zD9H6b/w/R/mP6vtZf+jz+8 X+yHsR/Gfhj7YeyHsR/Gfhj7YeyHsV/7/W/232kPjF/UP+MV55mcJ3L+x/kh 91HYz+P8n/1C4lH0OZ/kfJXzSM5PeR7th/ak/Z6T3Oc2PB975P6O5v/5P/ov +1HUH4z9fH+Z8qxnKQ9Tnu8tU172Gw3lYeSsR5HDPI/vJ1Oe9SflYcpzHsz+ IPfRYeYP9vfoj7DkFxv23yS/2MDafGLeL/mW2vtBnGeTb4yc/EuY/GOY/EuY fGSY/EuY/GSY/EuYfGWY/EuY/GWY/EuYfGaY/EuY/GaY/EvZLzfkO8PkX8Lk P8PkX2rfJ9/3hvneNqz9fjb9g/7N+E3/kfwGQ3n6H3xIF2w85lye3N+BuR8A 83zaG8+XfAjD84zmb2y6dYTKYywG97n3Ol/0yYdAX/Ij+H59gumk8ntUNvvl 4SrFWs2PkPw6A0t+mIElP8zAkh9mYOIj+R654b4I/Y/5ifZP+0bOegg59YWc 9QZy7kchJ55HTv0iJ15GTn0zXvO+ma9h6ov3T3n8Z/xFrs3H/fd+x1+73/F3 3+coLb+4tPse2vsa2vsY2vsU2vsS2vsR/93ymf9qPrH2PkNp+cWl3Xf4u/OP 6d/M59rzw9LuV5R2n6K0+w/afOd/ej6z9r6KNv+w1PsR2nzlUu5LfGg+c2n3 J0o7//1/db+CfMx/+v0JbT5oafchtPmk/+PvP2i+V/BfLb/9vfsVH5jP/nff n/j3PsS/9yH+vQ/xX/c+hPZ+Q2n3FbT3D7T3CbT3fbX3Ff+7fU+C8VW+//iB 32co7fz+P/v7DaV9b+bf7zn8te85aO83aO/rar8PUtr9B/k+0/Ex/qsL5uj+ 6n2I/wVbXliq "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl2dwVlUQhvcQIIEEhCQSEggQkpAAoSgl9BBK6OWDCBZERQUJSkQELCgq CigqUgL8sDv23uuMbcb+U8cZe+86trG3d2efjPnxztl77p69u+/u2f2+shXN i9a2M7PyZJal9XhhvFAlHCvsF5YJK4QJQrVwsjBRGCSsEZqEHKGr0EnoLKwS VgrthY6CzJt/J5fnbOB7WZzpwLtDeHbdOqFGKBIK+Ia/Xy+cIXQTegjdhXxh uFAslPLchTOThMHoFvHO7Q0Thgo9hU3CRqEQ2wV8q0XYJxwtHIbtfkIZch/h PGGz0FcYwftyOBtEjBVtzo0RatkbiW6lMBDuE3mohiPPw25ykeCpA/HlE38H eOvE+1yem5Bb+c7m/Upk920tseZyvmsb7gr4Rmd0fO9yYTQ+d4fXQ4UFxFYB X6XkYx++O1cHhQPEcwW2xhJXFT72w0Y5NsrYq+Wb5fBdhs1R6Jdxvpq45pPj njx7LrwmlwizhMn4Phj/p5Jj/9aJwnHkxM97nRSBGs7VW9RcKTaGYCcfPdfZ aP/X7zSL+nD/Gyxy7/HsIgb3f44wnWfnY3ybmCYQx1xhBnzMJBcD2BuLzQre +7f2CnuEDBxMhIdRfKuC+OrwdTjcFMNHPTHOFqYIh8PBJGIcSWzl5NZ1+uJX A/6MgN/WPM5gfyExuP/NFrWYh4/z8NO58zvpd3MM8buNncJioZdwlNAo9Mae 2x0nbLOog56siyxqwuNeQOzLOZuBq0Zi9B7odVuCzlLs+3ok8jEWte5cncuZ EmwcgZ0W9Erg0fX7gGVwdQ46bqcb8fp924/NXthczne9x6626L3O2zrOeb2c YFEvW4XT4dNr5ySL/HtNe21Xwa/3gizWVdjM5jkHjjP4kEeOcrHdzJ73mTXI pyL72Yt4zgFN2M5FbrXXjP9+7jT2lxJvBi7WouM9ZA/cOk8+D7w2vJd4TxnA 3gb2HX4PvY62w3UxvG8mDxcLZ2K/CH2vmUvJawl7m9g/C7mQ9Wz212GrG3Fs JZbzLeaEf3MKzy57jcwmltXwlYNfrt+fdQvyLt657PV7gcWd8LtyIfm8BP8K iWk9/mzgne97re0grh3E6bLX2mXk+iq+1/pdf/aeMRauK9Hdif5m9LyPjUbH c+E1vpt4nadtcDXZog8Xk8+98NCInOH9dnQy6PVi3Y3s92kfefS4Wthbxn4J awuyn9vP2VMsar49+wfa5OgA/vwm/G5RjzM0qGam4GyW1tkpOGjU+g7nPhI+ xvcl2n/fot8MkvyoRX+tkHy1xcy4z+I3mHPzvfCwRY+6R+iXIm/ttb5q0dMy kuelqPWvhRvg+RvhS4v+MCXFGdd/VhiRoge/LLRLkcM3hIYUfX+R1sXClZLf FH4gPxO1NylFnb3ouU+R2+c9xyl6/+vCtBTzYKrWvy3m4XTJ/1jMCvd9Mv5c L9SlmAF3eE5S3JX5KeLxWO4SSlPcJ7fxIHZeI7Zx+PICteYxZRHXJ8KNFvfq U+Emi7n6uXC/xRyYIN2XLO6Oc/OMBT+VKeLxWL4TvrWYJQNS8FVH3M9ZxO4x vUJeviAHzv9XwrUWd2dwCk6dT+fmAfj5V3jIYvbeInxmcY+97g5Se3uQvTaf 9r0UvWCo1ict5vM4yR9YzNphkt+2mNlvCX9YzKp67X9oMRtrJb9nMbNHSn7X YjbfJhSl6ENeXwuoMe8rfk/8jlxjUete5z8KP1nM1L+EPy3m8M/CExZzw2vq Zou68vwsJEfdteanmEldtXZJ8T+jo9bsFPMpV2teinlWqLUgxf+PHlpvxaeB kh+x6Om9Jd9pMZf6Sr7bov/1l3yvRU8slny7xUx6Ch6dwyFaH7fo9X7/qlPc waoUefIcPWZxh/3+dtKak+I/05wU+fZc/yr8YvEb03kdnoJb53tUCs49D+NT 5MJzVZMiX57bueT3Oove4X3DczsmRX7/A0XFEsc= "]], Polygon[CompressedData[" 1:eJwtlGdszlEUh+8Ve++9WlTRahurqtqi1an0pUZEUAQxShArVhclxFfE3nvG 3pvYEkEkEtsHW+0PnpNzPjw559z3/u977jm/e4JycgOTSznnhkNpeAmPYDGk wjM4C/OhJ7yHfzAEGsNhaOWdi8OGwREIIY7HtofncAX6QpJYfsuEEPzlcAoi iHtgo+AYtCNOwEaCx0+FpfjDYDOst7PSIY7fYiEafyFchy2Q4XRtE6y13NPg CXyH/rAMfsALu+tA+3YDJNsZknt3r2fLHdK8niHfSk63YRv0kX3wBu7AIlt7 DOF8MxdbDPehGfF0bAE0xd+HnQHT4CG8hUwoggcQzJ5Z2EK4J3UnnoLNhyr4 q7GxkAN3oQFrE7F5lktd4nGWUy38NZbrGKd+gLUVtvYXSmCA9bg8v63CdoMR cBleW+07wSFoyZ5w6ZtpJYp4nmlGtNSGeI5pqj7+LuwkmADZXs+Us1ZCHeId 2PEwFvoRZ3nVSldohL8HOxVyYZ2dId8GQxD+AexsmAln4JX1PhtOmKZES9KT k/AJskwTLbz2oMjOqE5c22ut2kJF/Kpeax1qdz2HXeD0znutp9JL6XE1/LJe 39co2G85Sm7S0+Zee1xoGihHXAZaO/1Gal+JeKT1IB7/htVCNLrbaiK1EE1s hI9SN6dvrKFXzeRbzet51Uie1XirUw1L70UD56Eje3phO0AGfrrX2sodP8At iLH/2Gk9lV6K5rZbD6V3ornKXmsmtZI7JMrZXrUiM6M3fpLX2SEzIxL/tNNZ IDlEE1+SnGSv6IT4guWWKDUhvobtDClO30IN1kY7fRNf4KfTt50AYfx23Ols kZnTxOubLDBNHXUiEOeGOtWsaOMXDDKN/IanMNjWSkxjoi15MzW9aka0IjlI Lyt4fTvS01DprdfZGAF/4J3TWSpnHoSvEHA6A77BZ9sraxehi9e7S01SvM4Y mS1L4Kr0xmutpCY35Z5eaxNjd0v2ulfu+B//r6Pe "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXnc11MWx/vdr31LZOxLdqNIEUplX2aYGcZYspctSwmhJEmF5JEW2bKU 7GtDlpAtsg6DImsYjG0wxk5z3p339/X0x3nOXc4993Pucj73+3va9Oy7T5/S okWLA+JPFXqz0INCDm+0aLFH6ANCHxxybpSHhnQI+WPIgdF2SMiuUd4lpEeU z3Js25CzQwaX9Ncq5LDoPyHkkpCh+AsZHu3DQrYMuSDk/JBtQi4MGRnSOeS8 kBEhnUIuDmkK6RZyScjokO1DTgvpH7JiyDkhQ0Lahwx0zhNDTi1ZHhBypm19 Qgap+4JffVLIOSGnMC7k7JB+ISeHrBB+NjGmofb3D2kd9TNCjwg5r5Fl5hoW clrI6cbc3/pFYT8qZDvi1ha8o50b3xeKD1wjxU19sBjBNMp+2i5Sg/cC/THm 4pAh+m2yn/qjIXeG3BUyRnzgPb1kHONDJuqXcZc1Eiu+L10o1sttA+OV4gbX VWrGX2E/fRMch69b7GPc1c4D3mvUrMf1IePEM0XN/Deo8XejGow3iwm/1+qD c3eT/fTd6pxgXDXivTv0YyEPOh5ctxs/uO4VxxTX7Bp936W+LmTl8DMp9NSQ OxyH3T0hkx3/90baUB/AmQn5XchtYmG++40HvA+owXSfMdM3XYzE8ZAaHw+r wT5NvIyZISawP2I/9ccbGTuYB3tvuA8/h3wa8lnIk+ImjudcI+afaRtr85Sa OWeJlTieURPH0/bfp9+5IW+GPK8/4njRGMD4DzXYX7CfvtVK7tXLIf9034jj FfUTIc86J1hfMwbwvmo/9dm2gX2OGoyvq4njLWN+XrzP6PtNNX1v2w/G98T9 UsjqJTHOC3nX2Oh7R9sXtSM+7uL7C8XE2r/hnP8SN3F8aJyv2j9LTB/ZT0wf q4npA/0x5t/GxrhP7Kf+ufEQ6xdqYvpSDd7/qInjOzEx5xol4/s65BtjJY7/ qpn/K8exNv8zBsZ/az/1NUv6aIQupdnfj2IF+09q1uYH46Tvl0aeJ+L4VU0c v6mJ43vxMqZFyXjANd9+6txh8gS5sCo5P3HAgweF3j9k0ZK4iWOZkveE+Rcv uS7Ms0RJDcYlS2riWKzkOOyWLhkP45cq2U+ds8ld5L4tUnJ+5mtZMh7wLl9S E8dyJWOmD16Gq+FsOBl+hqdXkK+Oj/KyJfEyZpD8DBe2lR/h6XWjvLE5cceS uZd8BWfAgfAitvALvHW+XE37CDkcu5HyGxzZVHN1I7n6VPlylHwOL3K3uRMv 1H4byRM1T8NlNU8PEsc54mKOodbxda515htm/Qz9wVvw52B9rVSSv4cb0wXO XfPQ1bbBG5c5Nzw2Ur9jPDc1B8N5cGyT9SH6anK+UY4f6ria80dr18/xg415 pPODHY67VHyXWR9h23htrxArc1xpveZj6nDO6e5rk/HVPD9Ru4fch+fd8yFi OlFMA/ULB93caOZmOA6+IcdPazTz9BQxYQuf7VTybE0yDtrgtXH6mCzWW52j 5vgbxAt33a4dHMR9WaUkB9+tj3vtm2T/VHFMs2+iPmruvc356Cf/P+Wc9xtP zXMzjQNueUB8063XHMz6wbXk9RnO84h9NWdPd//JO9ca0wztRtvG+SMeeO0x 44C7njC2mdbrt0KNdZYx1Bw8y/5nrU/Vx+Pifs6+6e459Q1Kcti8RjMfcz/J H+QR8h9+4ZPX9QcvvSJWeOdl8b1mX821sxvNXDvHOGZrV3N5zYPkyJ/EPdf5 ag6eKyb45R0xvmedueGgefr6wDo44J8PjfMtfb1i2wfi+Ei7mlM/sp8c/q3Y 4aNPxPSpdXzBQZ81mrnzy0Yzv34u7s8cM8zvG+59zbtfuA9vO454vtJXza/f iPVb63PE8rG4vxMruL+3Tt8P1ufp4+tGM7/WfPujdi8YAzg4my+5xjXX/iKm FnJSzX+Ly5+VfA4++KySP+HRReR5+hvyJ+NqnkRjt47fdmc0mnn9V/HCo0vJ w5zHpeVS2paUG+HIZeXPlnJmzaMtSzNPg3ucXAm/8Z23tnW+Kfn2hX9+LyY4 g7foer5HNw3dZqEchOae0b+qNmuVfOsQ7/qO55zCt6s4jv2fb5wblnxjsU6X Oif5vpXYDnOeNuZS5llXP2NDjwnp4T1e37nwt4H3Giwb6r+1cbHOfOvzXQ5P Ms9GzkU+Iq/d4fll/1n736L/ct8f7Uq+J7D/c+jNS/6ewPd795DejVzftr49 +N2gnTab+yah/Cfb8XO2fo5o5HugvXuxlTh7NfLbf4uQnlH+i2Xs0e0td3Qf sWF8B2MEB/Pim986Oupzb8vY71DyDQN+xmzpneV3DHAc2cjfK7YOOaqRfdxr +LNLyTfS0VH+qzbY87vHtrZjx9uJdw1t2+iHOmN54/ytpC/seefwduKN07Xk W+uYRv5+0sUy83RyLsZjw7j9So7BZh/xEy/7g89jG/kbRVfLzEHs/I7Bb0U7 uA4nl6xTvsT246K8V8k36KFRHugZrPkePdl23gFjG3l+d7Z/Z9spH17yDHEe 8LerPtG7W+a9yxud9/lu2vSw7Q8l3+68g3kfY7tnyTLv4x76PVC9l+307+l5 PrTkWeQc9ix5tjhLvVhXz8axJfeVdT665Jr28swc6JocF3pf9/SEknvJPuJj b/2cRByuOT/M7ece7es5YexBrifrdkRJTOBhPQ5xTVi/g7XZUXveVtzjQ41l wd1ybckV+OW3iAX3TJ8L+rVhLfdwTbhTvcTM/TjKeI8puRZHejePsczcvDnH exdONC7u0FDH9i65Rkd5bntbxraP9n1LrhHrw3cEv/3xXUNOPqVk/upX8lz2 9l701X58yfxef3ugB3jXjncvsOmvzxUt1/nwXHFie4L23Z2PuVjjga75hJLv 7OHmNPJX/dvqWa5nW+vkHmwHaL+TfnZ0DL/L9HHNyXHksiGWe5rDwLfgm8a5 jjBHDrbcznnbLjS+rzjhFfZmjJjH6XOI/skHfL+d5n7xXunnORzr2aJtuHvd yfqR5owm14d8xrfiKdrwrVjnvBHu9Vb6YZ7O2h/tHpErseWb8SL3lHw20rPR 2TJ57nztGUvbhdp0sdzZOc9z3m76rX1S7u85xAa8XZ13O2O62Lj4HZrcd5zx UidPtvK8HW8ewGZ715i15q51108328ba3sM6e7G/dsd6ZvEJf94Q+vuS976j 57ODe8me8k5obZlzxbjx4qFtgu39bcc395j81cszOUF/fCNzx/BX/+7JO+C7 qE8pmXcnhkzS/wZVvBlLvjOuDbm+5L1YI9rfKPlGWTvKb5Z8H10TMlk8e0T7 XG3WjfJbJd8uG0f5nZLvlftDZrtWH4ZcWTLv8YbiHbaycz7gvPeE3qHK30K6 h96+ynwBFuZjrvtCdqoy1t1C3xj6zJBdq6xTnh6yS5Xz/BLyQ8m8uEW0dahy /TYP3b7K/Ngl9HZV5qBG6F9L8sqKUW5dJTfMK4kPbF2jrVuVOWXx0FWVnPRg yGpV5nQwXu2e7B7l10vyJ2u5ZpXrSaxX6fN9Y8P+3ZD3SvJAu7DZrMpc3zH0 llXm65VC31sy/7Gui1W5tluF7lRlXt40dNsq+WHb0J2rzNNbh96myhzJvq1T 5d7NESs4F+xhlfv4Y0ipkqPXCv1IyTdxmyg/WvLdyhr/5Do/wVmo8g37mHar 2/Z4yXbWbFHXrVXou0veIc7jelWeSd6qP5fksuWj7a6SXNsyyneW5ObVo/xQ yTc1+zbfvWP/ryt5BmaUxA3mp7kjVXLwCqGnlnwbLRflO0py+MP6xeeyoW8v +W5YmbYqc+o094D1XzL0zSXfQBtF+cmSb/YrQviHHW+Vp6K8SZXfFjO1w2aJ 0DeVfLssE+XbSr5LVqny/nB3lo7yrSXfH0tF+ZaS75tFqpwD/5yF1zwP/wcV P6+x "]], Polygon[CompressedData[" 1:eJwtlFdPlkEQRr9vF3vvgA1sKIiIiIioWAgaY8UuYsEKqFgSEuO1v8AbL+zG 3jUxsffYe4039t57LFHPk9mLk9nZfd/d2ZlnJ7G4vGCei0QihRADz3DOQ0vo AJvgQvCXQHMfiRzBxkFrOAdVmRuKnQRXoCZ+AXYmXIPa+KOwpXAZauCPwE6H S1Adfzi2GG5AXfwxWAV2FWrhj8TOhq/wBfpDHrRj7RS2mcawA95BlrN/1sNj aARLo3aXB5AU7nQv7Km9EuE61GHP0dg5sBy+wwCYwP83sfVYH4udD/fhCbSH VrDCWQ6Vu/qwCp5DcoghgX+PYeOhjXKIfwLbFNrCAWjCXCF2WdT2PgSx4YwX cDfEmqJz+PaM6gItYB08CmeX8f8tjflmHHYhbIe3kOmsRnGsxUJjZ2fuhPeQ 7axmij2X9UXhDqcVh7dc68zKjKvAENWf83p7O1NnLYA+2hsSnO3xCXp5W8uF foxXhlgrsN9gIwyEfPgFPxUb64Owm+ElpDrTXB7/rw61XexMu/netKr69vRW M9WqHCrhx0BR1GL+B39hIv5g7GdowPp4bF/YAq8gDYbBNngDGc403JBv92FL o/aPtHlQ+znTaDzra0ItNXdSdfZWa2k2wjjq7WzF9Bv7x9ldFdNhfedNW3pz x6Uzb9qRZo7qnt7eojSlXO/XHZzlvIe3N6W3NDfcJZW5qeFOW+E1pDt7g129 vTm9tVlBKxnextLM2qDBlKDJDaFmqpXeyJ1QE9VCmrodalwRYtoFHyDH2RtT LtNZnxFyuhs+SiPOesDeUBPVQhreEzQk7egNdvLWQ9Q7dCe9/UzmSpz1AGk5 C7/MmaYfOutZ6lVJQUsprE8OmurI+CJ2irM55SaNuWkhRz/grGrlTKPJrD11 pv2iEHuON63pDt299RT1EsXQzVtPVC8sCbnI9lYb5aSztx6p3qgzu3jrqeql ypFiq+ZNi4rxPyXSo6Q= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWH28z+UZ/uV7PyqKlCQvRYgQ1bbPWltb7y0vKVFReTt0HHHoHC8dC53E dqazIjRlXqIlDVsvRrGiWinUrA5qpcJaJJSaKHZdu67fhz+uz31/n+/zPN/n ue/rfvn9mvYb2rW4Wi6XW39MLpdBnhW5XDvgUTx8ClwH3ApsB7oAtwBt8f5c YAb0mUBH4CZgC9AJuBn4DLgeuA34GOgM9AB2Al2BXsB7wFLgD8BeoDvQF9gF 3AD0BnYD3YA+wFfAjUA/YCFQCowC/gUsA2YBW4FrgZ7Ah8ByYA7wJvAYMBco BoqAQZb9gQFAS9zpbOB26POBQuAOYLD1gUaB1/zR74cCd3reEGCkn0uA2Z7P 9cOO2u8un3+45w3xuYZ7P84dYcm9Fni81HMH+uxlXjPCfjkTmAb9B5AXAFXQ Xwb+ZFu9Aizy918FFnuPPwNLgNFAC6w7CLkJOB/6ecA70O8DxgH3AJXAb4AK 4DBwCLjXY+M9N8O6asBE6A8Ck4D7jV977gTvVw4ci7nVgd9Cn+x5lebHUtuR 3CRHfw99KvCA955myXW18b4WMCXTvIc8l/wkT8lXcpI87WTOkJvkKHlIrpFz 5DC5zxgg/8kpcqs19j4n5GfGCGOCsVETYzWA32XiMDlOrpPzjAPGAzlMjpPr 5Owcc4k8JTcH2LdDzJMCPxd6XpGfydOi7Ahv52VH+Fzs9YXeg5x73OODzKeR 5sxgPw/zmhI/k2vkVan9MNn2zfNyuPcd5rlPes8SryG/RnlemZ/bhGz3VCY+ kUu/ysSvKvOAnN1kPowzj8b73QQ/0/ZlPschj5f7HfmY5yAleUYOVnjeEz5j sd/xbuQleVfp9ZN81we8R6XnrQVey5RH6OfJfpfnHznW3vnz6UwcnGbbkYPk 4sOZYjTPX+ZRxu1foL8NvJUppz5nSb7+NVMMkAsbgDU+Q3/zZ4DfzfIY4+MR f+v5TDmo0PeZ6rPM9R63e/1c6xW2I221IlMepJ//linf0df/BF60LV/KlJtK Pfak7bs6U44mB1Zl8vlI82CRx1d6j2JzZLHfv54pH402lvh9Y9uJNn0hE6fJ 5ya2N236DPBspvuvB/5uWzYLveM492hr38y2fQtsy+W2x3zbjnab5+/xW/Ww bj/kGNtjRXYkvlb6Lgtsr6He7w3b9wnbqMR2WmWb0B4v2ya866u+L/281n56 zneZ6efX7K+F9gHtfwBYB4zNlC/fNyc2Z4qpMV5PjnW0JOc6WP7DOmvlBn/n 3UyxyjgdZ52x+I3fcZw1gvrdwMZMsXy351FnbP7X7zjOWrTa9y332Vg79vus PCdr0GbfZY19SRucHDor70G+sJ6RM6x3G72WeZz5nbn9E+s9LPnMvL8jU37P 52XqzPOsER9lirt87uZ75v2t3ptym/f8yGu4538y1YN8zaDexZLv8nViu/fb 5r16+vs7vJY9DusEa8SXmWpSX5/lc5+Z/dEun/EL67195y327y6/6+V1O62z tu32Hnus97Hc4332+tsc3+fzsO9izfogU6zUDfmVPiX3v87E8e5e383r9vn8 rMt1gOn287f2bxP3LewnmXeY0yeaFwfNje+sc/5poeexHvvec7jusNfmn8mv XGicY6dDD/ckHDvGOsE6McEycx/CmCPnyLfwOOfWD+3LPTmWPJ+o7npTaZ39 wHGh/obvG4SeqXPseM8hargOTbY+xbKm9ereh3NP8Dh1yhM9p2HoHcf5XMu1 qsJ343cbu0eiL04K+YZzG4We8+tqew7j+5SQrynrxpF4PzUUd5T1rK+zn8ba P/VtK9r7dNuQNmvg89AGDX1m3qPRUWdo7Fx9hvXpPv8ZR9UD8oe1jTWA9S9f Z5u41ja1PsN8a+qa0cz9JH/vMGcyXxZ4j2auo6xdrd3vcay5awm518J33Gyd nGVeZn/GOlJkfZBlS+utrHMuZSv3cPwG+xv2NmXWR1u2ts64OWD+c6yNx3l2 xmd/372t79vcd+EdGeOMb8Y+89C/M+Wfr/D+Z6Ec1SphD9e5ltALHOc96Luk uncF9PpJdfEm6C+EauAPMTbEsdEGekWott0IeWpSXf0x5FDH4UXQ73Q8tIc+ KZTT34Qss53PwXjrpHuvwVhRKPffQg4k1dtzIQudF86Dfn+ojt4BeUFSP3Ex ZKlj43zob4Tq7VOQC0N171bIl0L1+WrIFkl1mlxpZy7Ng+xg2/I7HZO+NRd6 31D/8hjkNeYqayZ7XNbDqZDz7QvKjtanhPblnp2S1nPtpdA7J+XNXuRqUs2/ ihxO6id608Yhnp6NsX6h+nwJ9BGO52bQx4d6hTOh3xvqUeZA3heqx6tDd+Z9 OyTZerE5Qq6QG3UxflJSTh8ZOl8d8+LmEDfIhRXmA33ePeT3yyFPSaojw6H/ PCnW6cOeIT8ug1zuWCiB/GlSbugCzA71Pcw5rPdVzkvsP96xf9rbngvow1Dv RX+usk+5hr8xyi25D/PVJj9TL4b8UVKuot+4P3Pd64zXUL9GP9wW8kUVZNdQ L3mQsRKq5TnM+S5UexP3S6rHz9KuoRw5DrKb7/sN5JehXqEG5lZPqse1IWsm 1eNZPEuoF/oE8sNQD/Ip5NZQf0MuvGI+DIO8MCnXXgF5ZVL+vgry6qScPRBo l5SnGRODHBfrIK8L/fb4nOcK9Sx7IXeFePHLJLvQJg2gl4d64jGQb4d662oY /0Wo96ANMtthKd+H+s7vyYdQbzOKcRbK7dsgfxLqr47FuktC+Yu2Oc724b23 ++6DQzHPeK+H9/eE+vhHIWeG6vkivrf9l0D2CfWk3DuS9r8MslPot8SLkJ1D v3u43ybv2QhzGif1PfThMvtxNOTlSbmLdzrge52AsUtDPRXtt9s2/II8D+Vh cudb84f3/th3v5B+CPWlF0N+HeoVL+IeoV6U3Nln/jCX7wnF7GWQtZJ6MPpw h/1ITp1oXm0M+Yz+oq8O21/k7yFzuE7SXtxnf+gcPAPPvtPn/yx0Jp6Hdz0+ 6b7k40Rzssr5kDH1LmM39B/e9SHOkW83hOKKMcUa8nCojjwfqj2sO+9Bvh/q R1k3rkmqHRvoq9Dvn5WQV4b600cgHw/9xmEOO9l5jFx7yHwj39f6DNMhnzE3 mCObJ+VJ5tEmSbl0BvRpofpwV+iZ+ge8U+g/SHKB9Yx8YHyclhQj/4/dUPwy HzdMyslvQV8f+n90S8j39PvTkNeGfg/9D2BB3LA= "]], Polygon[CompressedData[" 1:eJwtlWuwjlUYhr+sZ01UlEPtzS61J5WSdNKBqGkiKcpGkkMoOkyho9iNfkXT DJ01HaSmQs6JlEQqOu0KMSFKTScyUiEhXHf3++P+1vV8613rXe961rqfykHD qobWKpVKY1Co5acql0otaKenUulm2tOJ98L70JPE3Ylb0r5BPJH2RTQf7oVm wFejj+EaNBruxvPNaYcQN4P7w9PgD1AXuCNaAn+NTqC/D/FU+H20AT4PvQN/ hwbAL4XHzkCPwe0YcwRtBZoUfqfepTU8ArfMXnsZ/DTqQdyKdi7/3Ul7IfGh tLXRML2PONEGGo/Oz+bG6ArUlbgp7QTG30t7MfGRtEfpWTQZfUrfKjQOPjd7 c8s1Hu6EZtL3EbqS/64hbkb7vGK4M5oFL0MP8f/L6BN4FDqbvrPQbHgOupG+ 5egb+B/0MNyc/t3wMfBYdEp2XyPlTO/RGOIv0SB4GVoD79J/Wi96C16PHocv yf62Y1Fn5Ze4kvZZ+h+lbZO9d03QHegc4gPJ33yTzgJal7ymu+GL6D88nLPr 0fHEi5NzXgZfy3+vwovQtxqrnMMbk/dW36C1a4/nwLPDZ+EL1DV8BmuK/geU 5yIfOqOb4O/DZ3UTWgA/p++CV6I34XnhuTTnD/CP4WevQ63h9eG1vK0zC6/U HdBak/fyMr6hYbGnHbJzoL3Xf5dn50i5OVr3RnsdfveK5Fx2zO5TThvCjdAO 5Sr5LkxFnyXfCeVqVfjdylmVxqEF8CS0VHcFLYVf1xh4IXoXfgVNK86szurn 6A94m/IC/yLBv2oP4N5oC7w5zD+h3+GtYdaY7fCf4bF90B54L9oC90P/wrtR 3+T/dsB/h5/9De2Ed4VZz8wK3+GyIif7af8Lz7UV1dXdRwPgv1CCa8lj4G3o Z60tnDt9wyL4PQl+DdXh2cPQ9uQ5DtBXyp5bc9SWN6Abkp8JOGfPrf/q6e5n v3sgagDXz2blbCTzXUo8T2cLvUBcjRoUd7CnzgL9C5PPfHVxJnQW9Ew5fb3C a1XOKon7hnMpzzxJawt79f85hqfIM5LPyK1wq2yvkafcRnxmtrfIQ4YQtyD+ MNmT5PW3aI+TPf804sHEe5S7ZJ5Z5EL/PQNPKO6f5lgBd0MTk8/gWrh7+Czq G2vgr8LeomcGwreHvUwep7u0Bm1IvlP6lunhs6lvkhdsDNcCeUIn+ORs76pG i4mXhGvJFFRBX2/iyckeI28aSnxI2KPk9cPhHPZ8edv94dogj5PXjwjXOnn+ GdmeXl7sUevsGtG4mFO15amwl6vGqPY9GL5rqoGqnU+EvVM1VLVWHi9vV81V LRgVPiuqCapNd9HWCdeoC7I9t0mx5vbZHi1vrouOy94DfftOeZaezfZS7YG8 +NTsXMqT22bX0IriHR00V/ZY3ZF+xCdm12LVbHn3PcW75OFdiK/KroX1w7Xw vjCrJq4Oe6a8Ujk9CMtPIKM= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHn8j1Ua/aL3uRMhlaZl2vemUJY0LTNTWX6FpNBUfvalLFlDkiU/yZKl kCVKKYpKg5kxSFOIlJiR7JKdTDGlidI5nePj98f5PPd773vvfd7nuec89/te 1OzReh2K5nK5nUVyuWKwjVMu1zpyuc+yXK40bAPYvwCvot0CY9+g/VegPnA/ UAb9DWEfAM5Aex3sXOAJ4FGgI/Bb9K+H/RtwLtobYf8BXIH2Ntj3gIvQ3gI7 HzgP7U2w84D/AZ8Ds4EL0L8Z9p/A2WhvgP07cBnaX8IuBC5BeyvsAqAE2sWB F9D+DlgLzAGOAY2Ah4HOQEugFdAJaOHf7YDGQBOgvW1ToINtM6CL57UGiobW 6wb08nN8/8c9n78f8b75QA+grfe5CnPfh10EPGa/+GxPj7f3s/n2qbvH2dfb Mabvffw+9GsC8CwwHHjK63JeFvKxH9Df/nJsgMfp19P2m+/xpNfmuoPcx9wO 9t4cH+n5Bd7z+NpDPN7HYz38Tin0zDDgGa/HtUbY1wH2u79/D/Q8+jTKa7Hv OVv6+6Ln05eJns/fk9zHeWO8H33nueD+44Dx9oW+j/X4EOePeW4OTPYa3HM7 8K9M5+p578/YTAFGe58dwAde/yXP47OveHysnx1kn172+Gjnk3vyLO4EPrSP u4DFzu0RYCXwKvAp8InX3gt85PfeByyz7/uB5fZlFTAVmA6URxzKAa+hfSNs VeAttGcBM4CZjgFjwTNcGeOVgDfQ/hr42L7XQV9toCTwDn6/6fnUB+oHdaRW aE+ueQBY4ZhRZ6gl1BTynFpCTaEeLHAsyPv59oX8Xuj4UG+oK+QV9YC6Qo5Q Y6gf5C21hzqR77U6+n2oGdSelp5DrpFTx3ne3uuSaw9nJ7SAz1G3yNdWXret n6PGUP8eAnIhrWmT6XyN93mg353sB/nBs8YztwdYmuksFwtpSlf719lzuF8X /6ZP5G43+0V+9PS7kVO9PE4OHec6Lbm3G1iSiStcq499aec1eti/3l4rQtrR 17Hp5f06eV5vv39379nWa3Q3BtgPgrw8zm/aZz0+0mP93DfMe5Mfg7zHYP/u 5T5y7zchTRnqcXJrjP3j+ED7UuB9erqvwGvx2dF+lhw8riu0o7zPaI8VuI++ skaxFjW1vxOc4zz4UtM+jXA+J3rOJP/m2uTiZO9P7k7xHi97bJTHJ3n+Eu9x LdY9mkkDyplT5DO5R969nomL5NsM+z7F63Kc/Hw709gs/ybv2SY3V2fSiGmZ uM4+7vGfTLWfXP0xE1cf9PszDuTmbaHz38ggN/MNcrCxQZ428RzyurlBvrcw yPGWfufFji05x1rZ2mPkLzmxxv409O9FfuaLTDX/Ic+nlo4zqM/UcGrnAceI uVnqeDP2yxx/5mO5+xjHj933iudz7qFM9ybm4nCmu9JKj63wPK71kff5AfjW sa4Yivs0x/jfmfTw/5nuQGu8Ltd7ze+01u9VNvSebDP26xz7u0NrT3ce1hfK w4ZCedjoXLCmfeWYMJ+bnR/Gabv7mastzhXz82WhPGxz7JnDrc4h16UON3Xs dzj2jN9+x5Dx2OOY8IzvKpTznc4bc7LbeeF6m7wmc7KvUK72OsaM99eO+UHg v5lq5R9Cde4tx/6Q47rKv6c6bwf9/BrHf7Zze9g5uB5rlApxbbVzucpjR5yj IqEaQP2/BfZnr/mzn2H7p0x30znuO+q53I8cYy28w3WEen97iGPH/E7fe53b vRfPQLXQHNaPk0P6SG2805pEXc1zf18/X8x+1rTOU4NrhHS/q9vVPbbSMeK+ d4XWLe54lHRMqnv/bn6mhH2g/pS0LvE8cd44n7tTfFc/yf50dV8J9w93/nk2 6ng/8uVW2Aq+w5wWunMwbrxXnOq7BXWhjP/P0J7mewm5cmaIHw08h7wjV84K cYX8+F3o3PGMXxnSF/Lg4tB553k8P8Qb8vJ06yA5dGGIN+TcOSHOkTeXh3hD rlwa4hNzWNZ5ZAyudl6Yq987X3zvin533t+u832MqOR6wFiwNky1Le9nKrjN 8ekeYz/jVNoxmel1yBGiqmsA83CN8/hH2CqeO8vPvOt5lT2X9ga3eeZZt3jG q/iZNzzvRs/9zPyhz38KcZVzn4a9Jek9h/D8J607DKiG9k2wG4DHQ1qyHrZn SDM2wvYKacPnPI8hPVsL+1hIk9bB9ghpz9uwI0K1bg/sDp+hA8Ben5v3mOcQ PzPzopvPfA2f22PmbRvnlPxk3xew3UPaVtRzu7rN58nxNewL6XFH2MuTzgHP Q7U48Ww1r3+b1+eZaY5nx4T4tAX2yZAW3oH+oY7phWhfkPT/+2LYS5LO9KfA lcmc53lL8uEK2Ob284GkdX+tZ7APJtXOkcxh6L/6Zei7NOl/7a2wg0J6eTPa A83VP6M92GeoJdrTQvq7GbZ3qD4MgH0/pIn89jA1pDubYJ8Iaf9W2D6hGpyP Z/pxbaBq0hj7+/KMJf1Poq7SR95b+qN/bkhDpzB+6YSmUq+pb0etL+RLFYy/ FKorldGeHKphldCeFKpDNyTFhTHpDHt1EmfKwb4Qqn/Xoj02VFPvhd1t3nH/ ViEfyqM9LlT/KqA9PlQXr0N7QqgWXo/2xFDt/Ar2ntC9oQn624TqUlO0h/s8 r3SOmd9m6H8udG9YHMof48Kcd/HZq4j2i6Gaeh/fO6Sr9cjLkK5ug20burOQ hzeHuNwC9pGQXnWCvSpJv1gjeS+hdvGOWsftUm6zNrBGsQ71M79qep0wvzJz ieee9xxqAfWCWjHX/eQC77/cizrHNfK8DvvqFvKBbT7LOsZaNdRaxzbrE3WH eke9Ku7nWEOvwTuNNteS+zm3rvet5bVre6+SbrP2zbB/M63teX7vRknnmGf4 dXODvOA+5Db3egftpaF7CfVpV0ijmOftzvXOUJ6Yow9hnwppMHM+x3n/AHZU 6A4yizkP8YJ6fJPzuCR0Png22oXyzVyvZi5D9wuewXuS73Bo35t0ZuokaSt1 tW6SLlOT6yXpNbX6XLTPSfqGVx9YaB+Wwy4L3aE+AVaE7gUdgEWh+xL1eH9I k+n7PM+d57XY/g72+1CNPwn7ZEm1/EzYsknfCw8BB0PfL38ADoe+WRbFeJGk b5bHgFxS/f4JOBr6BvkjcCR0VzgL42cn1fL7kmoP606ipiZ91ywDe2rS907W kAWhOjI/xDHyi+/X3u94Hp49P+musC+kF9SKb2C/Dd0zTsZ48aT7xymwJZK+ lZaCLZ10/zgd9oyk+wq1qn6SXs1mPkN3UGpM7SSdobY1TNK3O5PqJWvlMyF9 obY0SNLiX78r0a8kbaRu3ZWkXbWSah7rHfUvL0kDWWOpTTyr1MIaSXpYPan+ UX/uT6oHrAUFoW/TvCNQ/+5O0sDnQ1rG81wzqcazvv8Cg6MY7A== "]], Polygon[CompressedData[" 1:eJwtlffbj2UYxh/juS56kWRU5ouEKPW2VCpN7VIhbxpaWrS099BSP3R09Ado 0k5EQ4ls7aO9iSTKDIU+53E+P3yO67yf6/k+33tc53XXjhwzeHTDoijGQWPY GEWxHt4si6ItcShsCOtveNYgi2I4+nt0e+I8GANtoIAgX0/8gXxH4hD4G3aG r3hWQ/4c9I/ozsSjGD9KPAT6wypYDa1gOO+sIf4FU0t/YwDvTyIeDvvAxfAZ NIXxvFOSbwRvoTuE59o4rTXn1uhW8C66K8/+g7PhO8a7EkdoruncTzx7ljgb tqEHEM+DjuR7EH/h2T/EYfAtuh1xbbVn2qvWxMnVHmjtG0rPfSC/P6BaQ+/0 GjT3Ptp3eFp7pm/DNPRzsAa9CWaiJ8Jhmjvjf4mbYRp6F2LL9Bo091r9B+OH tEeM64hzYQ58yXg9PIw+gnf2D8/pMn2b8b76X/LjqzPS2RysvUIPg4XkVsFQ 9BBYgP6z9F5sCc9FezJOZ0t+b2I/eAnuh0/IrYN61RMsQq+GF8lN0Jmj10J/ cgfBYvRHcDe5p6r8QOKR5F7QGuDAsD46PVc9OwM9GObx/h+wiGcLoZHqAr6A z6EGmsHJvHsSfMi7y+F49CCYhf4NpoZrQrWwkfGJ5E6A2ehlcCr6FJiD/h1O R58Gc9Er4Dj0sfABeil8qr2AJlUNdyd3AXEmuV7yFONtxOmMd6vO/tD0XqoG 5lcelPcawOvwGtSXPuOzePdMmI9eWbrWt4e/pZrvRe4i9F3oPYnn6ux41p34 szyBbgczSj+TtzLtbXlMc2uY7gWaYy169/Tc32d8BXGJ9hg9WZ4k1wX24Nl7 pWt3a9h7qmH1nk1hL6kH3au64/2+lQdVq49UZ62aVW9YF/aaesTjxDfCXtuq M0CvkC9Uu6pR4spKq8dobe015/Aam6N3SnvnHcZN0M3Svert0r2jLXQL95Db NY907csTd8hHaW+oph9Un4AWYU8dQ+4xnWG45z1feUJekMdvQ++XPit5agrj 0TAF/TW8jH5FdSuvwa3ounRt64yfrGpatbyE8Z3aq7S35KFbNI90LcoTPXUW cD06yF0OH4e1aqJT+sx0Vup5F8Liyjv6zXLisvBcWlZrVc+pq9a8Q3oPtXed GO+Y3mPtbZfwXdE0ndOdMZbYN+0Nee4SxiPSXpfndXe0SP9Wd8h1xD7ptcpT uoueCO+V7qSRsKDyxih5KN3D1bt15m3SNa9a15l2Znw+8dfSNarecG24N9dU Xr0m7BV5dobqGLaU9ly3tAdU+z3D3+qa1vrmUuKVYS/oDEeFe7x6u3q0ets9 4d6i9V4avhN0F6hnqpc+EL771FNvgn7pXqWec7Ny6d6jnvNMuKeql+pOuQG9 V7qXqWfJW/eF7xJ5rEd6z7RXvVXj8kH4LtYar0LPCntLNaleenX4XfXUGzWv dC9UD53O+NXwXbMZ/gc7Bxbv "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0Ms2QlEAx+HTIMql5J5yKRQDT+HyAJk1ZM7zkKkoFOExKMoraNrS2OU7 axl86/dfe5/J2bmj09JJJAiCMtuEO0qcSVLMscMFGz5o6Te79h49e1Mf9Yd9 +4APu6BP+kvR3uLZHjDkiwf6dFl3f685bWpe33VNG7qid7qqb7qst5rRG81q R5e0rota07S2dUGvw3/SK53XV/2kyguXHDovUbFndJYppklxHr6PJhhjgnHO nMc0TpRRRkhy/P/Gf1FVJRk= "]], Line[CompressedData[" 1:eJwt0UVOQ2EUgNFXYCMMKe6uE6R4gAWwALoinDVgxUpxGOMuCU5IcBhwSBic fPfel7zJn9ob7ewLBUEQ5Z1ndkh3nNCwTmqGHmi2xjRLZzRHj7RAFzRf41qo x1qsi1qkCS3RUy3TFS3VVS3XM63VDa3RTU3ROrbMDzwyzB2t7m200EE7ySSx 7nu1DukYa1TYq6hk2X5Cj3lQR7liiW63Ab0lYm4mj3l7rs7pIV3mfh3hklle +eaHG+655ot9PvngiWle2KPJvxoJMWXP1F1t0Pq/B2Jc0nRbLzjn7f/dfgHA bEI7 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{344, 343, 347, 770, 761, 762, 760, 764, 763, 665, 766, 767, 765, 769, 768, 666, 772, 773, 771, 775, 774, 667, 740, 810, 711, 759, 678, 757, 677, 758, 664, 346, 345, 344}], Line[CompressedData[" 1:eJwl0llXjVEAx+H3NEmGFJVMTcYlMmfWRNz2EVx2waUv4ANYrk1H1koDHUQJ ybjMjqkokizzlOEDePbq4lm//34vzsXZu2T33oY9sSiKOjmQEkWNDud0RmoU TeePfZZc+7lu1S38ts+QYz/TzbqJMTvBNPupbtQN/LI7yLaf6Hqt5Kd9mql2 UtfpWn7Yp5hiP9Y1uprvdjuT7Ue6SlfyzW5jkv1QV2gFX+1WsuwHulyX8cVu YaJ9X8t1KZ/tk2Tad3SEt9yjmXrfd3DX/sAhqp079R3HOUyNby/0PHn2Bc3X Krbx0fkItXaXjtLEUep869duZtqFFHDR+QTHmOXco3/5x0t2+jagn4iz3fmS vmeQXc6vdI5e1tl6RefqkBZpr87Tq1qsr7VU+7REr2mZvtEFel3n6w1dqMO6 WG/qIr2lS/R2+F1ipJBKGulkMCH85+E+wl2Fewx3HO4/vI3wbsKbImLMGx0h SR8J4hxkP/ti42/5P9WvWU4= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hecz3UcwPEvh1JGsjKys0cDiex954yzR8apzCirbGXvcsqo7N2g7JEU oimyiqzKSlH29vw8/PG81/v7+d798ft8Pr/Lm9gzoUeyKIoq+LErJopiWZgi imayljWsZiAf8D6fsYhnWcZHLGYpSyjLYX7nVw7xG2XYyz528wt7KM1P7OIH GvIjjfiZwRwggf005iDDyJIyippqZm2mWfVNza4tNJu21Bz6lubWVppLW2se Ha759QXNp221gI7QObRnOSv4hJco6n0RdphfpLB5jNbWWnxj7kgh82itqTXY bk6koLlO2Ff7PZThjGY8k0liGjNZRT2/W83f9NfvqW4eEPZK43QBU2ni+V2d wRs08Byr85kS9s5zkk7ndep7rqvzqGeOpyr9PFfWvlpF39FK2kef195aUd/W CtpLn9PXtLxO1nL6argP2jPcF50U7oH20Gf0lXD+OlFLamctrp20hI7TT1nF St5jGmMp5v3LupM64XMw3lxKu+i3xIb9YYL5Se2q3/GU+Wm6mbvTgbmMDPfM +ijdxlba8YS12vo1X7GFNuQN563xfMlmHreWk5rmL9jERprzWLgHuoH1rAtn xtBw370borPDufFxOB8+ZxCz+DDsK0c5xhFOcDzsP3/yF39wipPhPDjDWU5z jr/DufEv5/mH/7gQzpeLXOJ/rnA5nDfXuM5VbnIj3Atuc4dbRD7H3XB/SG6O IRkpSUEV6w/og6TiIVKHe2c9jablYdKTjmrWM+ijPEImMlLdeqLvRjOa0oTG JNCIhjSgPvHhO0RczP3/c/cAcfGbAQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1366, 1365, 1491, 1617, 1763, 1643, 1762, 1644, 1764, 1679, 1889, 1680, 1711, 1710, 1618, 1766, 1767, 1765, 1769, 1768, 1619, 1771, 1772, 1770, 1774, 1773, 1620, 1724, 1725, 1723, 1727, 1726, 1621, 1722, 1730, 1713, 1714, 1681, 1733, 1734, 1735, 1712, 1721, 1529, 1493, 1367, 1366}], Line[CompressedData[" 1:eJwl0llTzXEcx/FfcUqyRUmyRbbKvj8BsitLyt4yzZhRyK7k3h0lZMl4CLjG uCEpa/blGVR2sr3+08Vr3p/5nplzZv7nn1VaXVgVF0K4RU0shErusCshhOzE ECaTxSQmstN9vE5gDOMYyw730ZpJOhmMYrt7mo5kOKmMYJv7ME1hMEMZwlb3 ZB3EAAaSxBb3BE2kHzH6U+Iep/H8tYP+02J+84ef9PKLzXznB1/4xleK+MRn uuihm01c5wanucseblPFTc5Q6ncbtJp73Kc1ujPFZ3v1AW08pIyp7tNotzvY TTnT3fbpIx7zhApy3PfrU55xNvoet0bN0xrN1QP6nKX2MprsGXpQO8m3l3PO nqmH9AUr7JWct2fpYX3JKns1F+zZekRfscZeS7M9R4/qa9bZBVy05+oxfUOh vZ5L9jw9rm/ZYG/ksj1fa/Vd9OztIq7YC7RO30f/oV1Mi71QT+gHSqL3hKv2 Iq3Xjyy2l3DSbvduX6OJU9TH+t77/0LEXFE= "]], Line[{1641, 1447, 1451, 1455, 1456, 1457, 1458, 1596, 1678, 1861, 1677, 1859, 1676, 1860, 1707, 1858, 1675, 1856, 1674, 1857, 1706, 1853, 1671, 1851, 1670, 1852, 1705, 1729, 1668, 1850, 1667, 1732, 1702, 1718, 1666, 1699, 1665, 1886, 1885, 1638, 1884, 1698, 1708, 1701, 1892, 1700, 1719, 1639, 1887, 1669, 1709, 1704, 1893, 1703, 1720, 1640, 1888, 1673, 1855, 1761, 1672, 1854, 1641}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.5249999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.5249999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdQFdm2hzGLY3YwMaKMcRTDqINhkDZHRAXFOGYdzKKIWcw5B0bRUcyO EbNiOIqKEURAQUHCIedsDs9bdb7Vt9qa4vmce9+79eYv6qvVq1m/7t57rx3W MR8+yW5UfiMjI9siRkb/+Dt/9ocGZktCdcNuLNL9YuWptL868bFnn0DhUvmv vlxq4yPcz2xW2ZPnDgrjP6DT89BrbbzFH8Yfxh/Gv+CxV8F2ox6IP4w/jD+M f1/jYmOntA8Ufxh/GH8Yf4vLFRx/dggRfxh/GH8Y/3yTao4u6Phc/GH8Yfxh n9h8zwfpzyjJ6yudirOKUgZN8DA39r8nnJQ9JMnpt8fCtU6mt4vweS6Mf5+x 1X68fyta/GH8Ya7XtavtecI2Tq6HuR7m+h+qNGi4OThBroexb3rR9PiMocnC 7x/+XP+XxFRFv8Ny4a8TgnXhLrtLNByxVbHRde+VM9tPmOcH718xyKpJy8vC +I/vbBGbkBEh/jD+MP4wzxtuemzFwaIlNyoe73dk9lugFy4WvHdyq2KxyvKA 2r/VOfFU7DxvGDvX4+/seTjdfFO8cPiKkxMLf5ek2JhsbXXJ9dFn9s4jLqQm 7UtRqnmWvrPdw1uu5/nC2Lke/1NWuvEP66fL98bz4nuD0Q9zPc+D67XPh+8L 5vtBP4yd7wXm+0A/jJ3vBX0wdr6f4OurUgtcClXenB5cZmP1aGV7wXeb3FYF Kn6jx5ca+FOCcnVtiLPdBR+leeupa5WrScqcdWPn9h+yRlfRPGXhD30OCJ8L PbTf5Wi48qabo58u3k9ZHJhu6zszUSnXK6ZwxKg/lH5L39u4rUoTfejHf/2z vhuPuUcK87yIn+8Dxh/92GHsP652D2k786nO4vjhPhaTJyubjgXUWz3ssXCu XzHXx10eCR+PXLKv1ch7wtJ/Gdip+ouu/k29hR0fPNDfKnZGmPZR7Iddl9KH eMn3AaPP0mXDlVq2Z4UjQo9evOCkE/+Gb5KerrC/Lf4w19+sFjNg/72bwu6B mf0mht0V/5SGBZLXXPIXf5jrJy796NAszU94z46ldY2MAsTfW1860cH3sfjD XF/cZc0fMcuDhKf32Fznbplg8XfbYhZfNeKZ+MNcH1Vn+8Fj7k+FbfLvqbWx epi8L74H3g/M84d5/jD/D+Z7pL3z/xhfYcZLmPEPZjyDGZ9gxhu+L/4//QHM 9wXTP8D07/RHBfZusLxX5oqyp9KsEjU6par/3/C98b3TX8L0F7Tnym8SHiZk xEl779gp9FHVCHX8w79F9I3W3fcGKyPXjFrvcjRW+kvaF/2B1h87/w87/4/2 yPPwWaZLcbWJtUY/zPuDaX/tN46/HvsgUikdO7fw7azQz8ZfmxLlJi52jFfK X8xfwMcjQPrDgFsvqrgvu/vZ+JlTNd/GLi3SFKtiOqM9uiBdCffOsx59uv+H bYNtx1S7K1xcmWdZZdFJ4YfjFgxpNO24Ak98/PFerXe3hbMOltLNrx8k3GDU roppg8KEgz5EVB25LEz5OHpP5bDh0cqH+KJOT3wDFeul/kUjuiQotrYmTXqY 3FOmlk5R1rVLVuZcX3pjRutg61KLQ06ljV0p/KxP8tCpd3YLB4Vu8Fuw+bxw a5ejh36pd0V4s/3I6IDUW8L3PJz8W1+8I7wzTDfpVFF/4ZaLOo4eM/GRsPM6 3wmzKz8WLm3Ze2Tj+U+EO7cNHdfe4plwTMKw4W83hAqb5SaMKWEdIfzct1kj fa9I4df2b5sk19YLdzpofcLnmcoj6uc//dAzRvjk/A4NjoyIlfyhZFqM64JP 39++uQN01W6r+UTxSXUcWn2Ka9i5tNULolV/38LGjc+0iBc2HWBzbF2Kys0i S53c6p0ovKSJvYXztCTFvf+ZgKLtHku+kdDJdU3zBf5K3IPo1J981et3Xyzf aG63FOH04gOO9PuQIu1p/kmHLdOqJCuHvEc3axlzU/EJWVrO4p+u/2ZTlRPD gtKE+8cNrdtqWbqy67fMTr6eeyU/abp5dsGZVWKvkn9wvfRvBpb+zcDSvxlY +jcDS/9mYPo3WJu/8H1jp33C9Ed3CnXrUuVksPRP5AOWRSe6N2kQK9dr8xt3 u8B2YQPV50t7hsln+lp2Or7GYZ/Es9XyScOK54KUwrFTvZNC1PfbNyVlX0TU YWFbb8eoiMrhitl7ZZJ/owjxL1x2967cnHDlzH7j6CnuUfJ9jSk083D7T9/X Wt2sNWNSniilL04x63ghTpkzeV+nFt7nlKGrzRcuKpmmDE1b6r7m1wjp/+oM HrhsSb3jSrXBEU0ivdKUo4m3l1ZrfvKz/Ij+rvHc9Ek9/LbqtM+X/EiveJqM yBcs8a5fGjyuWYeQz94H48t8sxnelSqFip32AzMf4P8zH4AZ32HyMbne8L7g relOvY1T1Hz+5p5HPf2ePFWaVRu3aHH5WGXji5zX5qVvyHjXyHfAkjnPvZXr Nyd/7HtczcdLVp89+LBHusTH+GBb/HLSmOinuka3V3XW9fGw/rb4TB/TUiq7 1D9ZadTLIGHP+jmtTt9/LIw+7le2h8WGd6cfiT3ENnH88Qh/4SmRbeenr7sr nBR5586q5veFGa9gnhf3P1q9xSQz4xtit6x+utbCodeF0+53dP9h+Clh/QO7 esNPnxWmvUs+aXi/W0tvOHq/yGm1vXk4xBqHXZP+QfJHgz03dUTA9IM3hMcU nhK1/eM9uV7yRYN9l72rn/F9X+Fi53zS3DYEyPWSHxrs+wZ1j+3+Uu1Pwh2D UoZ8yiu4XvJBg31WqYHR5Y2fCp8x1SfVORumLG94vEB902fy/T9LWHqsX3CI sM0Us8O65EfCO+u9tE8+6C9cbWyV3ftm3BD2DvPLeZtxTfhmf9N1EzeeEyb/ gA+YtFtpvtJL2sfQRpH6Kdt0wuhhvCH+DS0vTertFiV84tq8qb+Mj1a6Fmoz I3mvr/j3vtup7D0T/8/uR3vB/20577TmVdXxq5L7kqw2ubHSHwXnXms+4R/9 0e2w47csQ5Uiz1rtL63EyP0Yr/AflXpnQpVDccKLpq52qjUvQR1PyJcN9oc+ D1Py/aj2v6k2mzKKFUmW62m/2Ft4PBkXd1Htn/vWcp+Uvi5VudYlZsbWLb7K lQGbwqNXJCkDprdztt76UPJz8vURrz6sfNkmSXF+aNVs+0IfZVr4Tx5D36j/ j/GP+++d+TzpXts0peez3ALbGv+uRBkfr1JoVLqS1DPOwaXAE3mf5J/w4NrH 3pQ5dF+YfBQmX5T+1JB/wyU7nzSb53xL7Izv8v+GJTgeTQwQJl+FIx1WZb7v cVVpss9ils+QVKVBuTmlj464IPNz8v+XU6KupMxJlf52YnuramW8UhSHWdca lBqkk/mBRxffyCp2W6S/OL+qZYvplecLl2/yzCT/iMfKppSwlzEL45XO4YV3 xVkEKGWWdu/VtESiMtl7TPYixxBlbGWvR8sTYyV/J176tw6BiY2Sel3Q8Txh nh9Me4Lxv1P1gb5ivfXiD+MP4w//eF5nW+utXsbTh1uWvQ0rGy88wbnHoU11 k4W/sa/Qp2vbdOHHW9PnGx3LFK6x3D449EK28NTp5+ufv5kr7D3adPFG/5fC ZRxcn00Iey08tEN0oy4Jb4VPNO20rEbOe+GP1Y88//jx42fri+RH6IHRA6MH Rg+MHhg9MHpg9MDogdEDowdGD4we8jn0wOiB0QOjB0YPjB4YPTB6YPTA6IHR A6NHuz5L/ok+GH0w+mD0weiD0QejD0YfjD4YfTD6YPTB6NOuL5M/oxdGL4xe GL0wemH0wuiF0QujF0YvjF4YvTB6YfTC6KU/RS+MXhi9MHph9MLohdELoxdG L4xeGL0wemH0wuiFGa/O9DZ/Uq1FhuiH0Q+jH0Y/jH4Y/TD6YfTD6IfRD6Mf Rj+Mfhj9MPph9I+5vs9k09xM0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9 MPph9MPoN2tQp08h7yzRD6MfRj+Mfhj9MPph9MPoh9EPox9GP4x+GP0w+mH0 w+gPdD+yeXrhHNEPox9GP4x+GP0w+mH0w+iH0Q+jH0Y/jH4Y/TD6YfTD6F9e pGFQYtdc0Q+jH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPot3Y+VW7Q uheiH0Y/jH4Y/TD6YfTD6IfRD6MfRj+Mfhj9MPph9MPoh/W3B77qmh752X4q 8z/0w6zXaPdDmV/xPGW9kfWYb6Jz+4dmCN+cPvqnB1WzhGfEJDpbj8wWbtBr whnPQznC0Vcysr9PzRXWxk++TPzkZ8THeIc//T9MfwjTP8C0F5jvh/3KEtnz Vxf1T1emedi7ewVEyH4G+yPspzA/Y/1u/oHq+/MViZXnD6PHbElyrwtmiWKH sV8ecfrDRMtUscPY6+++8rjswQyxw7Kfut7cIu1Ulthh7A9clyy8ezVH7DD2 ypMSQ/bdeyF2GPvYwd0bzn/ySuww9gvdTy4ZqH8jdhh70VYmYZZp78QOY+9r MbNx2TcfxA5j5/tgfYT2CzNfZf+K75v1CfoDmP0s5s+s1zUL3THGc9BRmX/C zP8nVwtrbN76tPDaaQsmmLXYo2N9kuth5q+sN2KHsfP/YfQy3+J7ZL8e5nmh 37OavmdBxxjRTz7M+gr7+ehPO/rC92T+FFnf4P/T/ugf6D9g9vvY7yce/j// j/vTnxJvnZ19eqYXj5P2Rf+K3WdOlff7aySJnf4W+8iBsX8MskoTO/0v9ny/ Oxwxrpspdvpj7D1Xe+WL/Slb7PTP2D1mm/W71iZX7PTX2NPGLjy+vftLsdN/ Y7ceEFdwev/XYqc/x766S9eBdqPeip3+HXtY8+Mn6zu9Fzv9PfZ6dcoWNZ77 Uey8D94v7x/mfTIfpD/j/TH+cf+VujV7m+dGyffG9wizHqddD/rv7u/+Vfu5 dSvWfPpLizTlpw0VLtbvqJf1qsBJEaNifokTdrI9WHb7tCThUvUn6XqtSRMO WWJqudguU90fmea6esjgbGGXkdH6lmNzhW/ad2pR3uWl8LftjqzLXPBaeHjj UnEP1rwVPmU+1erQtvfC+csEb1y0/+NX7w8HeIWa+7z21MEPWi9cF3TrgI7v hf2YL90vzWu/M6/9TO1+JfFZWZatsPd4hrA+4nRQ6aKZwhl7tjiYZKvsZtPs 20U2WcIHSlVyW9YsW9jmopd97nqVB8zZ8fj17Bxho1rWm359rHLpxKom46/l Cp/beD3gaaUXwuQjMP1huFemycN/2s+jPfB889rf1O5n1upQ+8PJkep6L/lN c5uKT99dTJH2pc1v2A+T/RtDviP77YZ8Bybfgcl3IlILrG23L+pP90u16+na 9eWv3R8lP+L5kQ/B5D8w+Q5MfgOTz8DkLzD5Ckx+ApOPwOQff9l+puF9Sj5h eB8ll4a1m7P0rPDO3vl+8++3Xff/fb+z/vNfY8w8o+X7XDR/diljuxjh+5ca bnh8O17YfEi7y7oxCcJj3F+2Wh2RLKxr9c0YlwUpwkVm6pLavkwXbrQ2caWb TYZwwJEb9+cUyRKeN7d7lFM/lb/fXvv7fuVyhP3Gn2zWfaTKk1eumtGk6gvh 7waZrK0zWeVrM9P9StZ7JTy+28yYAnNULjnGvmaS5Rthr5bPW0YsU3lwv/Oz b7V9J1ysbpsNXptUPtrJNMDD9oPwgEr747fsUrm30n3u2t7q+JPXfuJftX/H /JHvfekPWWeCR6nslhJoGdYzU65nfinjh9u0nC6H1f7Opn9fF9stWXI9808Z T/K/bnI5TfU38nl29trTbLme+amML5PmTG3QROVzjQfnNjbLleuZv2IfFPbx lMd0lcfuimq6f/gLyaf5nsmveN5zH9xv+eZSrDD5MWx6ZFO8Z2CiMPkxfHHF wM2/JqcKkx/Ddc9sqLYun5rPkB/Ds/bmuowtoeY35MfwvY39fTtUUvMd8mO4 4sIr1c1rqvkP+THs6GQ+610jNR8iP4bPDV3iH2yl5kfkx3L+pmdirdOd1XyJ /BjOaz9Te94mdvfp4XYtI9X2qdnv1O7H8j4jXXu+HFNcXR8n3+V9wbwfmPcB 8/xhnjfM84V5njDPD+Z5wTwfmPwPJn7yGeKHiR8mfpj4YeKHiR8mfpj4YeKH iR8mfph8n/Nt5J8w8weYfBfGn/Nw+MP4w/jD+HN+Dn8Yfxh/GH/O2+EP4w/j D+PP+Tz8Yfxh/GH8Oc+HP4w/jD/MeK89zwsz34OZ78H4M9/DH8Yfxh/Gn/wa fxh/GH8Yf+aT+MP4w/jD+DP/xB/GH8Yfxp98H38Yfxh/GH/mA/jD+MP4w/gz X8Afxh/meuYTXA8z/5H1LgNzHlXqdQws9TgaO+fZZD3aYJf1JwPzPUr9EuuB Bn/ux3k37DB2zrdhh7Fzng07jJ3za9hh7Nr6FamvMuiD0QejT1tvRb5E/k4+ xPsh3yEe+ntY239qn7+2P8Uu632a5831+NM/Yoex0/9hh7HTv2GHsdN/YYex 0z9h19b/8TzRB6MPZv2f87KsZ1JvAVPvxP/netbLqOeBqc+BqbeBqZ9hvsd6 DCz1Tob3L/VOBsbO94Idxk78rF+jF33sZ8CsD8Pk9zDrjTDriTDr0VJPZZjv 01/AfJ/M/7HD2FkPwA5jZ30AO4yd9QKZfxsYO+sH2GHsrCdgh7GzvoAdxs56 A3YYO+sP2GHsrEdgh7HzPVEfBlPvBVO/xfvW1k/J/pFh/sL6Msz6L98D/rx/ mPcPS32cYf1E6uM472q4P/sHMPs5+LMeib+cbzVcz/4cTD2j1L8a5qtSv6mp D2M9HGb9HH/Wd/CX86+G67X7Kdr9JdZD8Zf1UcP17CfKeVPDfiT9Af0/LOc3 DPVz3YyNY83LZUs9Gkx/qK23pH+gvWOnv4Rp7zD9p/Z+Uv9hYPIvmHwKlnoO A2vzI/RSD5hp1+lWwuQseZ7kN9QDRjXMP7rVSnW81I6f5DfU47ntWLL/hF+m +PO9kw/hT/2hVdyNJS4Wav5Ee+F5a/2x8/+wW/3RJdTp+3AZr3k/rJ/x/GGe N0y+ADO/k/W3y77J2/ZEyXjNfA878z2Y+R7MfA9mvgcz34OZ78HM92DmezDz PZj5Hmy22O5c8V56ySee1P/+9JGteskf/O3KPn09Uy/5wrfXp7fMzI6S/MCj TB2/b4tEfTZ/YT2X9mc0vulEo1lq/hw1ZJxT27P/lB83+G7csydqvlXTJ6h1 vZhspcbPb+vtaq5Xvu9V+IcnQ64pB0eUr+zqpleajTtk/GrcfaWLyWrXVQv1 yuFR3/QoeSJAqX7bZODYSnplR0XTKTutg//t9Yem1R2dytSIVFwqDe8QPG+f rsvbuDYelaIU7+0jfm/43Zavrjcsd/j+7yvCohTP+Qv9pt45+79efxg45eWz 0Wc/jVt+Qe+9EtX6kj+rR+zrfOrG3pWRytLaBef97Kza/6w+kfbH97SjabD3 irGRkk/mVb/4tfWIedUb5lVPaNtudyWTA2elf2tw2fT2qnoPpL8NT58XtXhu sM7r6bvTumGf5hfjf6+gu/ZEZ1Xnw+GFXbIV75A7xmfWB8v8o61T+JbGa9T5 xr+6HpF8P+DYeJ86AV9fn6itP8yr3nDl+KVXv7e5IeMJ49Fd147NO5pmKvat zGs+bBalOO55/f0wo51KbvR3Oe8WRCmnjk/bUer+4c/qFTuWzX+l04sLunk7 78w6+zZDsXweH2c20vdTp97b0uWnLKVftcbLNzlGKKwna+sXK/SYkdZc2a3r XGS6db3+GUrWoLll3IJv6iYeGTh0inumUvbE4NHdSwTqfo1ccbClb5ayzXWn hU1dvdxv9sc5lWteixLOq/4wtVrbGVE1ohRt/Sn5wKznDvHhhfUyPz+xcMqA K5/a0cKXR7eMnX5VWd/FrceBT+Mi8/MtJd6szliuVy47+M2eNfGOktToReR3 n/pT5ucdHYPCD2381J/O3fbhrdUjZeUbj326dnqZn7dYPChzWi29cshrRIP7 QU+UyQfc3NeujJL5edVGdvHtJ0QprY8k9a83O1QpP2H6uB9KRynvSqeu6648 /8vrH7X1nF1r+UzYeyFCzf9f9E7fNSxcsSvyvNGKgHO6ym4mo+1/jFBeHdwy qqPnSd3FQz5+tYdEKikdC/hdtd+u43tmfNTW/xayy/itwvmj8v7Me4ZMO/Dt gc++F+pfiZ/7rdzzTVr9MZfU6/dWcB3tdVX4zVrTbR6rbwsvXLulZ8GYW8r/ tD6R58X/v9qt5mGncn5yP0ubI1klLj8UvrC4yoEruYHC8xY/WzDJXGWeN/f7 bsSeBrVaBIvdYUSsnXOJEOGcNsc+1q0ZJuzVZmxoWM9QYean3O9uWuRkowfR Yo+fmH9RbcsY4WaDRz/N3zZOuFJ4+9uhwbHCU5PdJ9/y/9Qv+VnWXLPtjOx3 c/9ffQ9VOR8dL9cv6X6vYXj3BOHHVg2WXuyfJHz+cnHnjemJwsyHuV+ho5Pv TXibLPbqFhvDNo9KUeMxfdF4slOacJ/tQdW6FFGZ+TP3s+uw4+eNxhliH1ro 2M391ioXfR8+aVP7TPV7sfKLcy2lMvNt7ufR1GjjBJMssXvmlDZd0FXlfilt fSb2zBbubNG41UBTlZmfc7+M6iMTOpvniN0oxtlpkIPKh0IPfNd1UK7wVlO3 TZa1VWY+z/2sy92xrlH/hdhtA0NuNxuu8ot7xabWdHwpHFfsTWKZJioz/+d+ a/NbbPnY/JXYd3pbmZWbqHJHr4l3jZxfq9//m19ap1qrzHoB9wvLXJf8rP0b saec9HBOm6ny5j8Cqoa5vhVenHjd7U5XlVlf4H4WUdltzvV8J3ar3QXv312i csxWS5fzq94LB4XUTN3roDLrEdxvjn/frRsGfRD7yvWO5vs3qNx4ufuDjb99 FK5xZ0U71+Eqf2n9cuCe9R1KDdcr9Q9tdyxw5YZStY/TpZIz9Mquo8FzfUr6 fHF9c5Eh/fr0cdcr5lvGd7fo46v8dnt87spP849IkwGOY9r4f3H989Rh16cE TtArgwPWrp2fHajULf9N4V599cpwv/LZo/M//uL66Oqr8w+IvvdpvO72m2er 0U//39VL5/X7B9rfO/jS+ur/a/XTedU/l9ppP6PAqBG6HQ/3hIwsnCH5TAeP +N+9hmQrxXbV9zVt91hXtGXshJAK2bIeLOd7/o/XS9f6ttbTfB+2yHoP9w9f 0/ZJz1oZSkqvK+5Vn/vrxoftCbiyIEu5emx5h18vBsj6GOtHzhaJd9esz5L8 7uqpa93CO3+a75wOaG83zF/Wl4znLYmvkD9KSZvrXMnW9bkyeJh35V2XPXUj dmy3/XA4Q2lbrFBUi4p3dcWv/h4wIiFTsS7yblSLvdd01i/GbF3TTa3HYn0H vTD6YOaT2vUg5lP4w/jD+GvrpbXrPzDrPzDrPzDrPzDrPzDrPzDrPzDrPzDr PzDrPzDrPzDxM18kfpj4YeKHiR8mfpj4YeKHiR8mfpj4YeKHiZ/5LfHDxA8T P0z8MPHDxA8TP0z8MPHDxA8TP0z8zMeJHyZ+mPhh4oeJHyZ+mPhh4oeJHyZ+ mPhh4mf9gPhh4oeJHyZ+mPhh4oeJHyZ+mPhh4oeJHyZ+1juIHyZ+mPhh4oeJ HyZ+mPhh4oeJHyZ+mPi1v8eqPV9Af4wdZn2V88qMPzD+MP4w/pxvxh/GH8Yf xp/z3/jD+MP4w8zPtfubzM+Z78HM12DmW7KeYpgvwcx3YOYrMPMNmPkCTL4P k6/DvD/tfr/8HqxBD4weGD0wemQ91KAHRg+MHhg9MHpg9MDogdGjPU/B+ibv EyYfkPMUhvwJ5nvQ1jcyXsPa8ZfnSfuFab8w7Rem/cK0X5j2C9N+YdovTPuF ab8w8fK8iBcmXph4YeKFiRcmXph4YeKFiRcmXu3vD7N+zfulv+F90r+w/83v 17Lfx34e+3Pkf+SX2Nn/Y7+QfJL9Ve7PeQeY8yLEK+eZDffn/3G9tH+Dnf9H +2N9jfcFY2e+jB3GzvwXO4yd+Sx2GDvzU+ww8fN7rqzH0R+Sn8LMP6ifZD0S Oyz1k4b1QqmfNLC2XhEOOZ75uly+GHkf1Btq3w+/x+uy5uKBexUTxE79Ifzt +AX2CxqlCFN/CPffX8PouxoZwtQfwoc2L3d42TBLmPpD+NWilKMBP+cIU38I d5zas8DxTi+EqT+E3Yaf6b/C/pUw9YdwTK+KniOHvBGm/hBu2mZO4dbj3glT fwgvahQ5yHT6B2HqD7XPk9/35fmzH8DzhXmeMM8P5nnBPB+Y5wGjH0YvjD4Y PTB6tOcZaK/0L/T/tGepNzBcT38AH9DdKzjwbLb4U2+Av9QfGK43clldY3Nf lQda2Lb3fZ0j/tQf4C/1CPwet77UyMI7VC697dEixVqtRyBfof1p643pr3if PA/aO0x7ghkv5PeMDe0HZvyAaT8w4wlM+4EZX2DaD8x4A9N+YMYfmPYDMx7B tB+Y8Qmm/cCMVzDtB2b80n5fjFeMJ4xXjF/a8Ujq+wws9X0GJp+V39s2nIch n+F7g/Hn/ArfK/0983HaM/0ldua72Dl/hp35JHbOo2Fnvoad82nYmQ9hp3/h +aCH/AxGD+2J69HL88aurWf++3zOv/d8zv/2eZz/9PrxvOrB8zr/oz2/oz0/ oz0fM9fs8NH42pFK/MU9xzOnRiraevOvrffWnkfJq/77S8+r/NX14vQfjKfa /Xrt+RjG29Y7z/TuFfD8s/M42nrJvM6bfG09eF7nVfI6n5LX+YM/O79CvefX nlfRrtdr60P/7LwK9aT/cedVNL8/8J9WT/+l9fBfe37mrz7v8vf5lb/Pr/x9 fuXv8yt/dn4lr/MoeZ0vyeu8iPb8h/b88d+/n/Hv/f0Mxiv5PcQv/D2KvM5r /Kt/r0J7HqT9LsuH+S6r60Ha3wv6+/cs/trfs/irz69oz6toz4drf39Fe55F fv/qyECvxblTddrzLf8FC4GeeQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdl1dwl0UUxXcpBikh1EQQQgihhgABhaiAkQ6CGAnFGhAwShUVUVDAFmwE X+x1HHvvfcb+aO9i17E9WBnL2M6Z+8vA+PCbvd/+99ty7tn7JWVL1tStbpVS 2ien1FrtkWK8GCSOFhPEYHGRuEzsK0aIKlEi9hJ6NXmOxaJBtBHHiYliqOjA uALwWK+1TCwV7USh2Fu0F51p/V5P0UV0FavESlHEcyfe89i2rFHMb93EiaJR dBQni7WiuzhYDGPuWlHJe42s7XVHWhPRR+wQzWKBKKOvrxhF3A99RotqMQT9 rMvFokmUivPEOFEh9uO9cjGAuAztB6NRJ87SBW0K6cuctS3jCnhuILa228Wl op4cDqV/Kecr4P32/9O9kLk60FeIll2ZYyL5reOsvfmteI9cue0hjhGL0ONU MRzd16N7FTkpZo169LTup5GnSs6xAM2bWbeUsWVoNxYdW54HoO0l5GCMmCeO SOHfGvJQTn7KmP988nQgOg9C41bkpTUMRYeenKkH56jco284/SWc1b9vEKez h8nsy2eZmsIT3s+UFN7yOQ5jrOeYxTs+/6QUHrUGB3Aen3m62J+zee/j2fuh Yho6zUzhw4G8U8O6K8mDfbCNsdZlBnp4ztk816DHBPSYyz4GsH4547eKLeTS cxcyfw3zVKBNLfr4zq5Iccd9vkNS+OFw9u09j0aLajSbglaj0MWa2P/zRS/a +rT7PteT683oW4I2c9n/JnFSirpRjebOkb0/J0XeZ7Kngzj3bM7kGulaUMfc 88jfOHJTga7TWGthCm97n2eKJczvvB2Fxu5bTP9GsTxFzfS9WkSeG9GuiJwc m8KjDbzbjvcbyJfvhO9Gf34/njF92Y/P6xqwFB12sNfe5HcqOe7M2kWMXcZ4 tycQL+e5HXhcAb81ss5C1ljAXCvTbh9eiGZnidX87nbVHmMdt9T2LSnun/vW 0H+2WEdsXHfsx2Jie8DfiFOInTPf0yrmOJv35pAna2m/nJEi/+eKc1L4eB1z dUfXjZx7BWcoQptNaOA1N7Ou69MG1l/LPO53PdzK+WpZy7XG99L1qoLW9avl jtiH/l43kW/nehzjBpLjJnJex/hqNG9ifBPPZeRhG/3d0N1nbCZ3vcmf63Uv 2u3E69Go5Xvrc7hO1jPOe5jPePeNYc+lzNlMXE3steyhBrS9VXxAfm53Xw7t q9U+T45GKH4WDV52m+P+Vqp9OoWvPxaPo98A9T+Soq78JH5mX3eKDjlyeL81 yJHDIWqfTFGTBil+jHlmKX47xZ0vVfxQitp2jajJ4dcfxMQcGsxQe4vaC8T0 HM+Ob7BuOfR8yftl/z7HrhTxVV4/R229zjrl8PHdojCHB0erHZPDuy+IX/DR ePX1yVEn7xVdcni/b479eW/lin9McV/fFzen+LZMUP9XKfz7oPiW+Hrm9Zxj 1b6bonb2U/xKivo+UvE7KerjUMWvp6jpr4r3GPOG+ATvVWjMaylq/XDFb6Wo R5MVf5rC21+K71L4+gvxeYp6vQvtrNU0jZ+U4858wzt16PErmljjFxn/vdiZ 4k55natZ6zPxEf03Mc7xh+KBFN8B7/0K9r+TdzzmSvxhb/ib4xreEa+9id/+ En+n+B48msKX9mQ3tfelqDdFiu9JURcvF4NzfLcexnP2Wye1d7FOe8V3pKjN /4p/Uvy9/0QKr3vdp1J42n4uUHtbim/RMynujO9LK//fkON743tj39vz11q/ HHXquRR3z/fOea7KketeOf7vcG2wp2pz+OpG5zzHHbff++N5e2dUDv84b1PI XYna4hw18k/xR4r/Y34Tv6f4Rtojw3L4pK3aNjn+R7HXBubwm3M+NUfee6rt kePvVu/l6xT7se/KcnjvP6z/BYY= "]], Polygon[CompressedData[" 1:eJwtlGWIkEEQhnft7rozMDCw8DzzPBU77mwRW1RUVPSw+ywUBP/Y3d2t2Ikd oAgG+kMxUX/a9bzM/HiYmd39dvebeWcrDMnoPjZLCGEAZIN8MYT92NEwEh5B OmOLsfWgCv5JbBK0gYrElaA3fiKshdfQTWvhMVyErtAOXsF1SPU1J6Ay37fy PV/AS0iGMnADdkJnaA5XYDt0ghSowbdnsfWhLRyD8oy1xNaBd/AeukNpeAIb ISHYmnvwHLrAbOWAb5f7WYOgIPFBbAaMgbLE5aCX76G7rIEOfqetsBJaQ5rO ZO0XbG2YAttgteciHf7CMmgG/eEHLIWm0BduQk72GIKdDrchP/Eo7Ezti38e 2wDaw1s4Cj2gJ3zUvVizxHNwxNf09H8+A9Wj1VI5fKO8E0/1PYrgH8ZOgHFw C/IwNhw7A+5CUeLx2Ey4A4WIx2JnwSnPSZrXNIm5y9hG0NG19VA6CqaxQPwN 0yeYJhsTf1KdYQ6UJE6BufiToEC0M3WWNKu5db5Wa4pFq/Fs/4fC0e6c6TXV v27w2uifz0GtaFpSTi9JR9Fyqzsn4KfCfPzJwfz12HnBxvJGq5FqMwJyRcuZ cjU0mLbaM7bQNdYR/wK2ISzyWm0Jpn3VrC1xO1iA3wQOBNOktKgct8FvHa3X tOaa9oqWW/XYM9eQtKMeUi8mMz8tWE/Ww68brZc0dl9ajFZ79UcF/OPBekk9 esg1IS2o5vuCvRl6K6RJ1aoE8USv2Qd44HtpT/VCYrTcqSc+Q6lotawJX+Fn MO1XhRbMbQ7Wu3pjvvuaqq6R3Mzv9VwPU06JNwV7i9Sjv+BfsN6qJnkxnz1a b1fXGP7pYG+bevaPf6O1/aA+81c99+rxrNH20LcDYRfkIB4crEd3BHuzVFvV eI/fUXdTzxTHXyGNBcuRav802FsgDaj3f/vZTX3v3a4dnbHKNSOtqGf0dmSJ dhe9IU2i5VS5lCb/A13entI= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe8V8URxd/uFaQpYg3FqBANMQQFE2KJKSbRkER699FBOiiCAoIgKop0 BJUaQLqIICpFSTCA9CKCFEFApAjSpAkIZL6Zcz+XP+bN/W2ZPTO7s2fufbc1 6VCtfczJyfmr/UlM1zFd16ReyMn5o+nKpqubPGTPVUzXMHnQnn9nUtWe25rO Z1KLcaarmdxqUtOkhklJk9r0m/zMpKONa2bSPPg6rHeHSX2TXJM7TV62vi4m XU2a2u8mJnebPAYuk9ImzU2amZQ3qWDS1MY+YdLKnluaVDRpYfK4ya9NGpo0 MClj8pTWf9zkBZNOJp1NnjZpiQ2TZ6RbCwu6jTCh25p0k25n8qx0e5P8tkYH 0z1km3VaaI0WWqOXyZPB4/G8NLh6SzPvueB28OvFyzC+JA3GPtJg7Kmx2G1s GBqZlDW5wuSEtZ00eUU+gP3R6Bj7mwwQXtYcKI29QdLgHSwN3iHS4B0qTSzH aj7zXlMb2IcLN3j7an1i9qYw0TZMYxl3n2HrZ3qkyejLMI6RZo1RwcfQ9y+t CcZx0mB8V5jof0uYWGeSML1uMkE+0FfI1h1heprJFJM3hLGytVcyKWgyWfPo myh72BqvNbE1Pbgd8L8jH8A+UxpMs4QLvG9rLD7NVhv25ggf2GeoH1vvqX+C sBBX8uZ9jQXXQZOtJttM5gbHjU9Xmw9TTc8zmR/8GX8XSIP9I2lwfSzN+gul 8WmZyYeyXTi6veUmixR3/PtEGp/+Kw32f8sG8VgiP8G+VPoDk0+lWeM/Govd xbLBnBWX+bFZc8C1Sv7gx2pp/FgjjR9rpcGyTpp11kvjx2fS+PGlyUrZXqk1 WWOjMOHHJmn8+EIaTBtkgxhcEz1OW7Q/y+XHNmlsf66x2N2uNfFjhzR+fCWN H7uFG7w71YZP+4QJLLvUxri9wk3fHuFjza9lg9/fqI1x+2WDGB/V2qzz7WV+ sE/kFeesSPT2AyaH5BvxOyx/8OOINLa+Uz99x2QbvMel8e97aTCeFG4wnpLG p9PS+H1GGuzXRsfyg8lZ4QL7OWly5YRsY/e82sB+QfjAnhPdfzBeVBt+XJKm L0TvB/uPssF8zvJExSiJ7g9rxuhj+d06On9wF3O/kNPcj9zpcFwz2cAWeQIP w8lwM3xdzXSl4HwLr8I91cTDKe/CL/BNW3E1dhnXSX1wPZwP99cTJ8NZTcS3 cF4z8SqcV0ecDLf9VnzcQVg7CnuuuLeV/KANruoq//Az5cgUB5wCx6QcDM+l vMu8lKfhQtaDs4hbAcWwe/C7kDhxV6Q83U3rwDXwU8rrXYSpp2x1Un/vkPEu c1rqd2f50UtzusiPPiHj9V4h42nmNxAn41Mj1TVthKmvYoEPcFz/kPHuIAl8 MVa44KuUe9Fwz0D1jwkZTw9WG3fnzJBx/ICQcfxAYYRLhoeMa0fL52Fa7/7o 3DxC+OgfJd+Ga1w/tY0MGR+DG77i3p6tedz/MzSPnOBcXxWdg6dqPfYv5bjJ GgcPP6r6oIbqSs41+TJF44Zq3nhhmihbQ9Q2LmR8/I7wzVKMwA3fTde42erD 3hz5QL6St0GxYOw0+T1D8/NEv6dOCTf3I3nLfcc9cSRkvDs/ZFwLV01V2zxh hI9SzkQvVD9csSJk3JzOhyNWhYzLF8i3RbKFH/DU4pBx7VKNS/kt5e9FwsE6 y0PG5Z/Ip2Wa/57s0Qf/7JSvzIEftoSMa9eGjF/Xh4yP18gGnJNyIBo+ujL6 /X5Ga2/QfLDCHdtCxt/rQsbHG0PGr1vl33bNSWuC1SHj7E0h49cd8m2z+lIO Zn5aryzRervkM5jgkd3CDjftEY69+s0a+/Qbu/v1mxjBRweE9aB+g/2Qfqc8 d0o+fKe+lFPhJHJgrvYn5dFjwn1Yc1JOPS58nNUTIePUk/LjhMalnHpa+OBR +PRm25fr9R4IDjjvvNaBIy8IN23nhIO8SbkUfUn7uUdrppx6UVgvyG7K2WeF CR4lD8GbN3rOndZZ4Tcvt+2iv9/iB+9CzPmpyQ3iiZ3CdFQ+59E7U17ZPa0z tVuxvMXab9Q9Ncvk3egx+En02ppcKRH9LiOP8yk+vCPvM/2RSTmT66LXJcSw WPS6kP0vGr2eJm+KR6+liHd+YYbrHtGa+bTmTVoLTiwjfikknNxP2C4qm6xZ XDaZV0JzWaeYMBSWP/hSQPFi/dtUM+AL/F5Sd2919dUOzu+3qt4opdqDdr4D 3G5SN7jm3q4T/FtBKT0Ts1sU25+rhmH8r1Q/5Ab/DvALk8eCa2oPvlfU1Rye qSVKq26htrkjZu/ed6oO+WX0Z+zAaRXFKXwrYL36weNYVhyNwNfUILxf32XS wJ5/E70WahR8X+9WO98o7lE7mtqpYfBvGuX0jC3aqU0Q7PANYYQwwUVVdH4r aM2ywsb3DdZubM/3Rq+9OBuckXv1XFV+YauKxjSx9geic/kIjeH51eDn5QG1 /yV6fVkzuH5Qz7/XM99/0H9QO/UiNSj155+iP1dXG7+pTavKFvUqQq1ZWfrP Gl9B/jbVWHBQ4z6sdvCT1w/r/DPvIY3hLHKu2HN8/ZvGM/YRje+gNaj1/q74 4DvfjvhdUOtU0VzOBPVGf9msor3A73/Kd+q6htoX6hO+F1B/tole0zOf71KV dMZYs6rWBW8NnX9yhXqdfLlfY+5Tf02NYXwt+UjOkXvkW0mNIwbV1F5buQM2 8qeNMHRXjjKumXKBb3DkA7lCTd9CucI7ADnCmuRwXeUWY8g1cq6u5t2uMWAs JcwldWYbKD5l9Nxa+Us+lxY+3hNyla+1tFY9jQFDrnDmCgN9aU7T10p7Rcx7 KF+ps8nHV0wv0b6RZ7zDNNIY3m3S95rmamdeY80trzEN9cw48vUujSmr/qYa c4/slNe+t9K54nskedtYuc7v9jqHrXQWywpzG52llppbUc/9dOe0kB/ltC5+ 5Jfv7G9r7TfPnGd4ML2beffjDm+nZ9rbagw5Uiyxmjg6b5E75Ftqo73GfGEy J/oZ3Gbygfb/G5MF0WNTSRjYk10m86Kfte0mH0Y/O1+ZzI1+Fjjz/4ieF/U1 lr3+2vT86Gd5i8n7Ol8HTD6OHm/enfhWx3tAccM/PvpdeI0979HZ62X62sT3 tJDpnTpX2C6cuP2emsP4q03vFgawX5U4puei99H+mT0/Gf3+wY+CifvSI/oa 2Cc2VyYen7ymt0bP5cGmj8vncdFxg3mISdHE+RC8e3UO15veEP1OJMZFEo9z d5MCiefjs+xP4rmD/jL6M/07oo8h9vkTj/9Y7Td7/bLix/vWD/b79ei1w9Mm fbQvJWzsxOhccbM9T45eR6wwWRr9rl9rsjL63bwxOm4w9zc5HP1e7mjyefT7 86DphdHP9QmTSbI5w2RA9BrkJlurk56fMFkenS++Nz00eh103uTN6LXMKZNh 0WuZVZrDeHCtFjZi/Ez0OF80GRm9PmI/12hPnzL9YnQuGGM6JH7vLyZe0fnw rehxISbPm1yf+D0wSTHCl6MmA6Pn8gD5gy+nTaZEr7fOmkyNXqtdMpkevVYj z5LEc62LSUw8f8H1qrCxP4O0R6PkD76MNuGfO9Sbb0TfV/Z0uGJEfGZqP9gL 8v7t6OcBvBOEuavJFYlzymvR407MRyjuRYRrU3RsR0wfi363/WgyLXp9eaON +Tb6Hdtbv3mm/5zGEI+TignxOKOYENf90WNLHX1d4vcfd8ANid8D1LLUj/// lm36gmLInZEn8Xujs8lL0e9Gzt0hnb1PTdZFr1VeMN03+l3dLXrekrOc8WXR zznx2Bw9Jv8DBg+Dgw== "]], Polygon[CompressedData[" 1:eJwtk/lryHEYx797RmKxMcdc05IkLUkiQpoQapn7nv0B9oNjw9yJTLkZotnk F8fGH4AhR45y3zdzX21ZRLzePc8Pr96f5/t8P8/n8xyfnKLiggWWJEkeNIPU 1CRZyodpKUmSg5bAKegBreESXIQC/CPDVw0d45/LcMXcN4l/0oi3gvUs1n3Q c7ARRsAwqIIs/slH02ARnIRsaAXN8S1Dp7O/J/oJ1sF87IHoYaiDoXGHTP5f g87D3193xl6Jzsbui66HYxG7jG/p+FexnsM6Fz0Cx6EbdIKW+MvQmfh7ox2w 16KF2APQa3A1cs1D2+Jfjc7F7ocegjMwWHuhBf7l6Az8vdBbcBMmY49Cy6EW usMYeAxPzM/WnufoC/NcVNOH6CPzWKrRXfSeee+mYt9G75jHnoL9FH1m3gvl 9BJ9ZZ67anQffWBea83AO/S9ea6q6Xf0W/RqHKSQz4mIPQHdDb+gM2TATvip HkM6bIeGqG0b+AFLYBP7x6NnYav5eghcgAPmsTUz++AfdIV2UAF/oItqDxti xjRbw+ELLIQi4o9F30K9+WyoR+rNaRgUPfoLeyOWzvgNeyIXnZGQ7/44OxOa YFfkppyPQmnUvr3ygs8wOu7QiO6I3LPi7M3md9MdauCg+V7NgN5CZcxOdsQq j9lQzA/w0fwtaCb1lhabz7be1HW4YT6bmjHN9jbzt6wZL4bzUauJ+LegX6O3 6kld9ES90Bt7DW/MZ1tv5j/+2nik "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdWHmYl2MUnea9v8ee9bGLTHuSpKi0adFqSTQRpjHtVKgohRbZskTUtNin ZN+JJClrtqFCFKWFUGlT2c5xzjy/efxx5rzf973v/e533/Pee39TuXBQl4G5 OTk5Cyrk5CTwN/hTAPQAHgP+Ac4DBgGVgFrAC8CxQG3gJeA44ATgFaAyUAd4 DTgeOBF4GpgAXAU8C9wBDAHmAVWBesB8oBpwMrAAqA7UBxYCNYBTgHeBmkAD 4EngNuBK4HUgD6gLzAWqACcBzwPDgKHACKAZcAbQBGgInAqcbj4NaGpuBFwL NPaa5h5zXQsz17UHWgNtgKttk/NalVvX2tzC88gtgZH2pS1wpsdc187c2vNO t1/Xe24HoGO5dZ3MXJcT2i/uW2ffo4/FwI1eOxUYbRvTgDG2kYu1FYCZGI8D xtrGn8Bi4HHgUuBC4CIgP0kXXYEvgFLg/CTddPPzhd5D7uUyYCnQ3c+7eH2B 7XHd8iT9XQxcBlzid64EVgA9gT5AoZ/3NRcBq4FVQC9gANDbc/8Cdnpuke3x nduAtZ5LDVPL1DS1TY1T69QzdU19U5PUJjVKvVHX1Dc1TK1Rc9QwtUxNU4fU Y56/7wJ/NzVMLVPT2+3H+KTzwTNBLfJ8ULPUIvU7OEmT1Be11zhltdskZbXL 6+uSdEbtUFPURtuU1W5zz2vp6+Eecz0128rryrTbKmW1y+trPLeR/Whebl07 v++zJG1RQ6OSNNjGflB3HVJWux29rrOvb/CYaz5K0u5ox49xvNB+tPc6ap1a OitJ+9QvdUUtU7Nd/bybbfBZvq9LPeacT5POxhg/6+H3LfU43++mfqjLMv31 8byC/z0r9HWRr1d4zHmrUlaPhbbR26Ae+wMzgFu9938n6fimJM1e4TlPALck 5WbmQubXhl7He9TxTtvkO25PypcNDc6nju5Kyl/cT2ppqPeXPMzjO733HD8E 3O3riUm5spnvUU9NbXeI7T0M3ONnZGqUmrs3KS9Tb48Ak/zs/iQdcI/vS8qV 1M6jfkZNTU7KiR28jvfaOE6M1+VJ2hrtOdQU9UiN7XAsuQeLkvIUz+SupLPI eK0HbnasR9pX+vlAUn7sbF8n+b2DvBeVHMvbHeNrHBfGZFaSPs/2d0903Mri 0tJ7MsHxu9L7SjuDvQeN/N33OSZT7BP9+RmYnrJnptjf/ivwS8rqe6pjU8Pf Xt3xnmI7xbbDmrER+C1lz/M0x5DPH/SckqRzyDPYxWOeM9ajEn8vdTTD3zHK +8j9pUaY76gT6ohabOz1jFVXx+CpcrF5pty655J0ylz9alK+fjMp/zIvs37N Bs5NytfsSyrbLvMDa9aLSXm/tm3QVh3f47NaXsP7rAWsFy97PuvCO0m1oax+ UAOsBW8n1YNqvq7qe/M9/42kWlLXzGvWlSr2P8++089zHOvJ3tM8ryn7pjn2 ea6/v67fN8/2WN9n2c4cr+G7mItYO/tZBwvsL9e95Ri+5et6/lbOqW8bdRwb 6miR7zOXUnPU2XtJNa+Bmdc8azwT76es9j9I2fP0YZJG+N2LvUfsMZYk9Q8f +/655k88hyj13pZ6Deezf/ghqTf40vc5d5OvOd5gu7TJ8/15kt65njWA+f93 4Nuk/uSrpJ6Gzzf7urvvfe05BPsZ1o8Cj3ual3vcw/YvNi/zmM+/8xxihW0U edzLvNLj7z3m3C2+7ml/l9tmvuNCP2t6P2p4/Srb3gr86HvUxZokbTAnsvaw 7qzzeKCZ18yTP3k80L5vsQ+8t95zqAnmIuYn5hLmljHew03eix32p5/3fLN9 /tp7wG9hb8B8V+y93Wqf6c82+7A7Kadfbnu0y5z/h8f9zLwuqwesl30cg9W2 SXvbbXOX59DmeD8b4Hu7PKYmmXeopdkeU8vsizb6uzn/L9u5yeO+trHbtjs5 NszVZXmHOeZlj5nrTsO5/jFUEw4Hrwvl1kbg4aG8vh28LXQu/wDvCPlSFbwx 5OcWcNPQGbgU3C/kWxG4IORjb/A+GeXxXhgflZGfuzFuGTpLXHe01waenxnS 4h4Ytw/F9RzaC/Upm8GbQvvZH3xMKM57Y/5ZIU3Rxyvs5/Xg38I5HXxbqNau Aq8O5Y4jaCejenZERnb/0yR4RSjXDAQ3DuXUTqHv4beMBO+bUd0agvFxof7l b3Cr0Dlnn8naxrp2OOYemZE+uuDePaEadh54WajGH4rnfUN62xPjwzI6V01C ftxofbBnZX6+Fnx8qN8ZBq4c6o8qYF2b0JkeBx4b6gFn2if68xT73lAdex78 dCjfUyOnWicrwQ1Cfc034PqhfuRh8IxQzWsHzmR0tqijEdZSW3BuRuf76Iy+ n9/+Uyh2JfaH38I8XB18UEZnvsRxY3/AWpTr35u/hvaVe9ohFCPGpzvGg0N9 xgbwKNewPPB+GX1vM4y3hvLHkeD1oT5kFuMXOit3g08M9WUdQ5qmnm8GnxDq s6iXbiHNtObv6FC+qQE+JKM8xT08yvvYAtw8VCu+5HkK1bZXwC+EavkScL1Q X3MI+ItQHTwD/Gcot30IfjdUVxeB3w71CJ/yTIRq6hvcz1Bdnw+eG6rJF4DX hnoCxjvX+ulKjYR61lrgMaH+lDbm2M5d4DtD/5u5LnRm+O305X37w9iMd3zO B/8Q6jtvBd8S+h/M96H38V3VwJeFesMXuUehHqMi9yHUk0wA3xHq59aE7NJm ndB+8F3F4Kmh3m4y+P7Q/42o5Wet5/3Br4f6E8a+1PH/HHxwqMc4ObQHjP8p Ia1T54zrx47tYuoz1LfQ3+fs8wGMcajnmUQfQ31n3ZCeqKXHwHuH+sD3wAeG +rqa4J2hHuIZ8L6hPulscKXQ7wpq5CXrZDp4Wuj/VctDuYN54yrwsaHfW19R j6Geie9Z6HctCPlKP2tzn0M99oHQbH6or6Gm3rGulobyFHNUw1AuYB7gefo5 dKaqgPfPSEvU2jzrjeevYkZnkO/p6Xe9GdoP7gXX/WId7gV+JPS7pU9Ir9Tq xFDuZt7eBzwzVMsYpycdK8b1Icd2dmge53CvPvB+vRbSFnXFnPdEKO+dRB2F fnsxB5SE8gBz24Oh/FYY8o++PQDeM9TnUzufWD+8N8D3/wXts6un "]], Polygon[CompressedData[" 1:eJwtlXnwV2MUh78659ZYxshSUVRKWQtR2QtpoYV/bBVlhjHRYilCEb8U7Xsk ldKUkLFWQ0hDUUpIUyhFe9qkhXg+Pv54vvO833vf9957znnPW7Nzt5u6liuV SmWQ8Dw/Q+H1KJUegDvxGkWpdBgvg76Md8GX+FMwDp8Ab+EPw334OdAdH6h7 8P2wDH8aRuJj4U38IXgS3wdf4/2gPz4QXsN7wKX4PZqje6EmXhlG4VOgE94Z hoSf2SX9Dnr22dARr8D7b8D3QnvGRzBeg++GDoyT8Vp8DxyH19E34Vvgfrwi /23Fb4TejB+DcYoF3IXfCi+H59yC74El4Tnd8cvS7657bscPww/4LjiWtWsz bodPhxp4JRiBT4YxeHkYHI5ZBfxueAnvqZjiAQPwmVAVP4019+P3QkvNZ7w+ HIPTGVeBMfgrMAQvYFA45wMUD3gunINT8aOYvxnvCjczvhwmhmOwAz8jHZsZ 0BpvC8/im+Bo5rb7Px9652p4df47pFqB2xgfgm/xnXAM12ppDXwaLMA/hQvw T2AEXh8exIcqpnqXdK7fhlfx6fAufq5ihr8B5+Fz9E34LHg//N9MfEb6Xv03 DZ+qGg6v8UK6xlXbs8O5GJ925WQSPjn9bM35SfeqRvBF4Vz+mHbl9CS+70zG O/Df4cTCe0C1r//+TN+ja9ozg9N7UntxFvyBn8D17eE9szNds6pV7cnjC+9R 7c1tcDG+Fkbij4fn1k1f0xp70zlQ7JeGcz8o/SzVgGpjlGIYrpE5+AfKAf6h YoS/B/PC/82Vp6+dDx/J0z4fPsMXpnN5IXyBf572BboH/zh9r3I+W70lnbt6 sEK1ojn6NlilWoBHtZbiq72V9mHwDb4cLgrPeUe5Sq+ldx6d7knqRfrGevhw xTxcY0vVm/TO4TUW4YvT79oAluBfpV33NMBXaw28t74B/z5dq49AmWoVuoX3 hPbq9eneqj2rXntHem+o516D/w0rwz2jKX4QVoT3TA/VBkzCe8EUxTrt6okb 8UvSvUp7vhle4hmrwz2wDeMjGW8M7/EX0z1GvUU9vbn6C9d/DvfIKxjv1jeH e5x6QRN4JtwT1ijW6W9Xza3DG6ZrbzT8hjeGPuGe3k9z071LMVmpWkjHSjHs JU/3qidUk9rL6bPhvxwpd+leqRrQ3uuZPhu0B9VrbmDcP9xzFMtrYVU4porF ddqj4Zhsw7ene5l6clH4DNHZsQ7KFT4zdFZozj/pM0VnidY8hesnF+6V+8Kx ujK9txSzqlyrVvia3umv9Jmgs+A72IJvTZ8F6oGb8M3pXtgG1qdjolgshsqs Valwr/81nEv1YPVe5fRA+gzW2bs8XDtXp5+lGtLZ0Co9V2fEVfhZ6XuVU+W+ RfrbVQM6e39JP1tncCPNTedWOa2e3oPae6rJfwFhkil8 "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHeYlsUVxT/AmdeKvaOGJrAUaeLShQQFQZqCdBAUcRHIqoCgEgIqUSEC UWygSATsDUhQEQUsRCORGEs0xsRYYmLsGtEgnl/u2Wf54zx3vql3bjl3vrfu 2CkDJ9cslUo7apRKtSTLUqk0R2gqvC3cKcwV3hJ+7bG/CyuFK4Q/CfWE44XZ Ql2hofCqUF9oJPw8l0qnF6XScrXfEFbQJ3wizBeuFf4t3CNcLfQRugonC+8J q4WrhP8I9wrXCP8QVglXCh8IdwnzhA+Fu4VfCL2FLt7rj8J2oYHwtPCUcIfw bIo7txPaC82E5kIn4QShpbDV492FDh5vIXT2eCvr2kZoK3T0OOt/IpwklAun eQ069fIZnT1eZpuXW6LHqT6P/Xp4DB1PsWTseevVV/ix9WS/nl7XyeehY2uh n+czd6IwShgtnGX9sNlAn8c5Q9yHT/p7HXc6w+PoONj3Yf0Aj7P+TI+jy++t 4zBhjNczPsI6sfdwz+H32R4fJIzzGWdZ3wHWcbQle430HgO8pqd1GuvfrD/H e3CnyT6D8fOtB3tMcR9nnmd90avC45w/yXdg/QSPs/6nXsc5jwi/so0fFhZ7 j3Gexzn3C78UxgubhPuEBcI2n0v/A8J11uUC35mzHxIWWfcHhYXWpav9TCyu Ea73urXCDdb9cuESYYawVLhQmCbMct9M4WbhJuu6S/heuEiopVyuKUxXe7Nw i1AptFdfuVAmFEIWLk3BGfAHMQ0nwBPwBbwBT8AXcAxcQswTu8QPcUZ+whNN UnAG3EOekMfwCvxyUg7d0RlOgg/IT7gBziAP4YxrbRO4AY4hH+AMeIIchnuu se3Qg/wq93noRF49l4IvTvQZHTyPPCfPOnoeupNj8NY8j7e2b7r4vM5e08p9 na3fyZ73G+HGFHHyuxQc1M336eiz0a+H7cVvco2cJMaJwXHWhbzo5zPI0V5e M8Bj7NfT69Glt+d197q+1rWX53HmQK9/MUVuD/W6IT5/nbAkRZ6xL7lcxRln eH0Vl/XwvoM8j/v32U0P9qvimMGe91mKfCF/XkjBg6dbX3JxuPciR8ekar6o 4g/kSOsyxmN/SJF75/oc7FfFH2O9F3lJLo73OeTfBI9P8X37e+8R3pf8m+i+ Cq8Z5b4Knz/J8/pa92E+b7LHhvsczq6qE8Tl5yl4BI5om8Mf2OG7FDFEDn+d goPgo1tT5Cw5/2UK7oBH/puCs+CLb+0/4u+rFFwDf32TglPgkZ3ClhQcAJfA KZel4Ilp3v+2FPwyNQWvzPK8Sd6D+8IZ5DDj8MpMr4dH2PdiYUcK/iKe4BX2 YR7vCd4c8Ah5Qb6Ta+QvfNLctpqbquv6lZ5LPpLv5Bz5CA+08vp57mMM3mhr fxNr51rv6+2/5jk4qsx+XbSbn67zOn4vdF+FbXm+fbvE9pho/1T4zPk+F52u tr5T7BPWHaJzD87hv4aSGyQfFTYK6+3jZjl8MNX+oO8i9zcVlqn9pNfhpw2O D+Z2yNE3zTa+PQVXY5u7bB/uvcJ3R8d7rOdjKbi7iW1/p+2P7Vft5qvVtje+ Wmn/4Ie7fW/8c6/9wL3X+e7Y9f7dfHKf/XKYdD40R7weILl/jnn45MHd/PCA fXGQxg/M8RufPGS/HKG+w3PkDP5Zax8dpb4jc3Vtf9j+qq2+/XLoQVw8Yn/W Ud/ROXKGOnqTfXis+o7J1TV5jWPqR+o7Lsc960nWzZHDn/s+3OU2+2yp8aj9 xdmbbIfHhd+mqMvr/bvSvt3oOLjFY5XeY4P32TfHPrxDWuSIb2reMylyvdJr NzuWTvA4dY+a/kqKfCQGnnYc1M+xvtLrtngtOj7hfs56zjHTMse+1LzWOfi9 m9utcnA9c6iL1OI27oM726l9Yg4eR1Kb4FK4sY1/Y6Ntjh/mw/tDrTt34I3S yudTA3lv8P+hcYr/D/zm7fG62409/rLbjPHWqZeq3zrkzkspzuL81zynkeVr PreRzt3D7yvs8aZtst3nMZ8cejdFDmHfP6fIRXLonRR5xrvrrynyjxz9S4r3 Ezn3fqrO43+myDn88b1jgDz+KEX+kYv/SpHfjPMWRDfy8uMUXMWdPrUNyfW/ pchpfL7TPuc9+b8UOfBFipwjF6d53+keI97JEfi9pt+QnFnDNuF3dp2Y7jns wbs0eT72q5Wrx2u5f5bX/syycJu3RG3nb2PJPT1/T8+hfbxkKYed6NvLa5F7 u834LtuSveCEBY6LfXLEBjkML8FbV0n2LSIPsQdcBLeR483Mz/iVHCQG2pu3 4XNkM7c3Sj6WI36ba7+5OfL4WLWPKeItsFW/n84RQ9TxOuYlamyZ628XyYU5 8rep3/LU33raY5rvT0y2cM6Tc+RJd89v7zVzHH/U3metPzWikfa51PG9zGvY H781tp3LNOdy++ASoUERc8u9P/edwngRtl3Bf40i3j09JE8RGqhvoDA8R0wO kByW4110suTmHHnUU3NPLaJ+ThX6FMGRp0n2FprkkJU52tQQai5xe5D6Dyzi fdRPfUNycNEB6tu/iLfVIZIHF/H+2ltyryJiLRWhE/rUUrt/Dn7bV+19iuD7 2pL7FZErdSSPLuJddpjkoUW8146QPLwIfx4leWQRbyX2G+o9V+ewF7aiXnSw DXlzdXDuUPeom9RJ+BGe7Gv/trGe3IG6SM3jztRa1vGbWrnYOdrIebfFOUMu UK/wCXUGLm9tvobjW9pu6E1dXOuYam39uSd1l5oKqL/U3v/b1z4hjqmz1F7q CfWGmkLcU0fhFGoqtZV6jh2ptevMN9RZ3hecTV2+wXF7gnUjR+flyNNFOb5n LbetTnSMYae2thWxSJvxGbb1TOdZuXOto9tT7ZOObpe7zZqttgV2qKpnw7y2 g+fQ1846wMO0mTtdsn4RPrmM/Coiz2bBIUXw1sXCzTl8dYVkryJq8lbfnZpO jW1pXSrwYQ4+I6dbmJe2SD6Zo4ZdiH9y+IH9zsyx563EQo6aMBK/F8GDcNKz 5qWvJb/K8S1wNv6xnc+XXJPjHTrTvAAnPJMjn8nl5yVfyFELyeNBOXJ5Pf7P UZ93Sn6fo27BlxtycOYI7lIEX68VOuV478I9M3wW50+wDk9Jds1Rr1dJrsxR 25dL7lFEjHfm3jneCy8SCzm+fZ6N34vImXGcVUTsjsWnRcR3N+G5HPXiJcnt Oer3R9gmx/fO7yS/zfFN9BzJLkXE7nihexEx3VBycI568rHkJznq/bnYrYh8 GEWuFVF7xuDzIrjgPOG4Imr2aGK7CO77TPg0x3fWSZJFEbX/FbVfzfHmuJ0z c8TOG5Jv5ngTvIwfsr8l5+BucmWx78x978hhR2y4THJpjprzruR7Od49EyVv zPEN9232zvHueQs75fg+/YHk+zm+HzN3iedTNybn4MN3mJvjW/LrxG+Ob95f SH6Z492Dn5+wr+Fi/jNQq0vaZ1eOb9jfSO7I8Wa6QHJbjnfbHMlmRdR+7FGz CJt8yN453mGP56i71Fy+kc92zNcooq7AP+TWphz5tUByfo739Q+9o86n "]], Polygon[CompressedData[" 1:eJwtlmXUVkUUhV+QOSOCKKmICB/5YRd2ARKi+AO7FcUWC3XZQSjdCCImoWAv CxUVCxEVDKQlJKS7RXy2+/3xrLNn5t47M2fOOXNLOtzZvlPZQqEwAsrBnigU zofeqVBYB/3Q98EI9GfQF90VPkJ/Cg+jG+VCYS9sObgfSmjvYayAvhu6FZ9v gr0EHoKRtDvDX+jlsBTdHR5FN+H9jN0bBkN3+Jixz2E2ej4sQneFi9FD4Av0 C9AC3Qc+0XywCN0GxmguWIY+B8Ymz7kK3RZeQy+Hoejm8DL6S/gRfTa8gp4D 89CtYXTyGuqy1s60v0bvhmHoC6AjelKyHgPTk/uekS/hW3R97HNwW3iub5J9 dQ9MTPbZr+iW8Cp6PvQuvqNntcde6EOzfVUKPaBetu8bQU9onH02jWEjbIVV vNsD1qA3wAqtDbahd8EadE+Yhv4tPPdTMAX9U9gXT8Lf6NVh3z0Nv6NnwQJ0 F/gTvTjs+27qC/tIvqmIXQ/nwuvJa+iPHgAvoRvqm+GYU6wpBragz4NxyXto nR2jis2G2H+gkB27vWAn7XYwPnlPFxVjSrGkmJ6JbgWjktd8GfpFmIJuBm+h a/C9bejB8CHtW+UTnY1yQmsLr3UGTNS3w7qRzlCxG362AXyns9dZoGclx9oP MDs55iajvw+PlcJXii2YmfzO1PAZyPd6Z5JiJzyXnrkZ/b72gH4CyrL2MtA0 eU+nojswXhMOgpNov4EdyNgB2JNpXxfWB8LxtMdh+zNeFVs1+xmNbaXvTPQN 6NpwiN6jfTocjN7OePXsOTWXfKix69G1ws+clu1j+VZ9p9B+EzsoeY1XKPYV czobuFy5CVPR7aCcak/2WalPuTod5iXn7B/hmPw/FpNzaUZYK6d+Cce4Ylvv zA3XGNWWhcmxMSesFSMLwzGtWF6cXAsWhLVqwtJwTVMtW5Jce5aEtWrQjnCO KbdWw8pwDil3liXH9vbwmGL853BNUy2bC8+jbw/ryRDsPWX7Qj5SLVurbybX tH0ZOw6q0LeJ9rpwzivX9czmYk1QLVgJ/xZzSLmzNjl3doe1cki5uin8rHJW tXRFeO2qqU2Z65pwrFSD/bL7pDczXhl9ItSgvYX2veEaqtqpmqi74wH6yoTv kAeVW9m1XXeG7obH6CsfviMm6OygQjEnj2H8Ks0L+8ORtMdi+8gX2MNoP47d p/iN8rSPgkroDcl32SPoFL7TambHuGJ7B+OXYkeGfa+c+gB9SzjXVLPGa97s vQ5IjuVq2bmimH5HeZf9raHJuVUp+2yUY4ejB4ZzX3tSblbJ9pVy9D3lGe1d 6GE6Y+0le+19Ff/oNtm1cILOCFuR9kZ0P3hXeUd7J/pZeFt5np2rQ5J9cWXY V/LJXXCTYoKx4XBW9h609jrYC6Ft9t2u+2p4+A7S3aM7sX4u3kHFMy3NvrNK iz5uRrtj+Ft1w7FxLbZ6OEZOyPapfKm+M7LXrLWq5ujub0lfg/A/QPPsPWpv Jdha2XPo29pzC/SN4bF6MArugPWMTYPMePtwrVFfJ/QR2XeVYujobJ/L14qx OtlnorOQjypkx6BiTz4/NvsM5PvK2NrZa9DcOsNW2Wems9IeBoX/EfRvoH8A 5e7V4XeVw6OLa9Za9U/xHxKGUXY= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0+dbjXEYwPFzcMzIrhR17Kwyk1VmGb3pvTf+AP4X2XvL3lL2nlFmRmRH iBCR+DxXXnyvz+++z/Piuc71e6ILFuUvDIdCoUtKVXCOqJ06qot6aLiWBmcP 9NQH50yu5gTGKV4fzRO5hpOYoF76ZE7kWibxNafwJlN4iMk8zCjLOIBH2J9H OZDlHMKS4H15nEN5N3hHnuAwnuQI3mc6zzCNZzmSD5jBCxzHi/yu8eHm/+KF XmqVqjTDfqamK0ez9M3+q85rrHklt+icRpnHaLROm+9prvMKbtZDndIcu+V8 ptuaZ77DOn1RsQbbLeMmFWmQ+RifqlLP9UQ12qg8v7/nK1XrrabZbeBUfmY/ 9lW21puzWMs+7K3JWmeu0C2900G90QE9Vqm6e24/u3Ifu/FGcG+4l7Hcw868 zk7czRjuCu4Yr7EDdwb3jjvYnlfZloVsze1swyt8pG26rK2abZ+rJc6tGFFY LdVCBfZN+qvf+qNGLVaDfqleP/Uj1PwhzP//TfwDXxdlyA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{335, 334, 338, 719, 710, 711, 709, 713, 712, 624, 715, 716, 714, 718, 717, 625, 721, 722, 720, 724, 723, 626, 686, 769, 669, 708, 648, 706, 647, 707, 623, 337, 336, 335}], Line[CompressedData[" 1:eJwV0sdSk1EAhuE/RLFRRBT7glvyDnDBEhcqqMFeZrCAoCKIA1aioKMRNHZg 5RVgUKxYIiiiWOk8Z/HMO1/mT5mcU7p5y6aKWBRFKcpzoqjMqNGDfOUJIwxT Eo+iA7pKH+sXsqy092uxPtLPfGKFvU+L9KF+5APL7b1aqA90iPcU2Hs0X+/r O96SZ+/WZZrWN7xmqV2tS/SevmKQxXZCF+ldfckLcu1dulC7dYAMC+ydGtcu fU4/OfYO7aSNdXar3uI2x/jGUQ6xlVGO85QeLrLe+y5oim2stk/oDQ6znTVe u6S1jPGD79RxhEp+cpJe+rjCBu+7rHeoYq1drzdpZ6N9VX/RwDin+E2Sv5zm D2f4xzUmaOQ/Z5nkOtM0MUUzM3QwxzlmaSHyvefDnQif4U5NMMkU08wwy1y4 fJ6Jhf87nEE4j3BG4bzCGYbf5JksGZ6RJklTuKskCJc43N95B0dqGQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VvlkEUgNEhX4sVKQ4LaL9SKrgVT+AnQCltWNImsIC0uC5wKO7u7l7c 3d2KO2xhge04b1icPJlkFpO5ufHCktziCiGEclJiITShlFhCCFOZxhSaM53e JCWGMFArsYa1rGQ1q6jIclawhGUsJZH5LGAO85hLAqXMYgYtmUkrZtOHRbRm IW1YTC7PaMdT2vOcvryiAy/pyGvyeE8O7+jEB/rxhc58pgtfyWcQ3SimO0Pp TxEZJPuL7/qDidR2ztQ6+lN/MYm6zllaT3/rHybzl2x60oseFNDYvUY6gfGM oyvfaEgaYxnDJz7SgDijGcVb3lCfVEYygheUR28hheEMoy2bqUIhAyihBUMY TGXWs4F1bGIjVdnKNrawg+0ksYvd7GQve6jGfg6wj0McpDpHKOMwxzhKDU5w kuOc5hQ1Ocs5znCB89FcuMRlLnKVK9TiOje4xi1uRnPjDne5zX3uRXPkIY94 wBMeR/Mkx55kk0UmGTQjnaakESc19n+3/gEAFGvX "]], Line[CompressedData[" 1:eJwl0MtKQkEcwOExj1nRBTeaVlZUj6HQxbTsAi4irEykIgXtBaptr9o9qFbd P2nx8Zv/zJyzmPnWRa0XCyE0yUUh7MRDqLFHnQYtzujQ5Ya8u7tsM5zwnY7o jHbIWueYZJopTu1vMdvf0zbHzJmbekKVfP++npO2zjDEpnlQNzSpDU1oReNa 1kiPdEDXNWhJY3qov6zxzSo/HPDFCh8s80mdd4q8UuCNfVL+19UXlnjmmice mXC+qON6pQ/cM2Ze0FG91Dtuo/+3/wPB0CWy "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1314, 1313, 1439, 1596, 1716, 1640, 1715, 1641, 1717, 1664, 1869, 1665, 1681, 1680, 1598, 1723, 1724, 1722, 1726, 1725, 1599, 1728, 1729, 1727, 1731, 1730, 1600, 1733, 1734, 1732, 1736, 1735, 1601, 1682, 1836, 1666, 1721, 1642, 1718, 1720, 1719, 1597, 1316, 1315, 1314}], Line[CompressedData[" 1:eJwl0ldbj2EAx/G7+JeMMrLX1QuwU3YZEQ3kJJtEB1G9B6c5TbmsZERm572A 7BHKCpGtZYt8uhx8ru/9u5+z53mSCkrzSqJCCA2kR0JIppzcmBD6CLEh9Opf /pDDL37znZ/8IJuvfKObL/SQRSddfKKDz6zhAx95y3vesZp23tDGa16RyQte 8ozntLKKJzylhcc8YiUPaaaJB9wng7vc4xZ3uM0KrnODRq5xlWVUcJBiDlHO AZZzk70c5gj5rCXKe4vmqPMxNrKOAe4Gcty5mk2sJ+IuhhPONWwmj1h3+/Qk pzjNBirZzzTPS3SQluoZpjtv0Rkax2Bq7Zm6VWfpEIZy1p6t23SODiOec3ay bte5msBw6uwU3aGpOoKRnLfn6U6dr6NI5IK9QAt0oY5mDBftRbpLF+tYxnHJ XqKFmqbjmcBlO11361KdyCSu9H8j3dP/PXQyU6i3p2qRllHlny6jkHyyI/// 939d9WMU "]], Line[{1623, 1396, 1400, 1404, 1405, 1406, 1407, 1546, 1663, 1835, 1662, 1833, 1661, 1834, 1675, 1832, 1660, 1830, 1659, 1831, 1674, 1827, 1655, 1825, 1654, 1826, 1673, 1689, 1652, 1824, 1651, 1691, 1672, 1683, 1650, 1669, 1649, 1867, 1866, 1620, 1865, 1668, 1678, 1671, 1870, 1670, 1684, 1621, 1868, 1653, 1679, 1863, 1864, 1860, 1862, 1861, 1685, 1622, 1829, 1657, 1828, 1656, 1658, 1623}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.5499999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.5499999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVde28JHYo7FrjIpy7YolFixRlhqj0WBXbMRYscRGVNRrRcUSe8Ma gwUkVhRUNOpRNIgoQhAEAREOgoBIBxVFP78xzm/uN3bG/bwmN2+8Nz7/OuM3 5prrzLn3anOtNbfl2BkDJ5ibmZm1LGFm9n9/ly543dzCJdow5tpyw7edvFT3 y9PDvYbcFS5nfvnZSlt/4WEW/6x46uxhYfRH9HwQfaWrn+jD6MPow+gXPf48 YuCE26IPow+jD6M/tFTpKT90vyv6MPow+jD6VherTfrCLlL0YfRh9GH0i8yo 71B00gPRh9GH0YfRf7Kp+umkTvGiD6MPow/7JxZ5YG/0UUOm1Pn81m8Jyn6a m2WpkEDh1JzvUh13hAtT3vBlQ6+TfZOkPEx5mPKNazVvsS0iWcrDyLfmtzkx b/QT4cLgL5p9m/JUGfdaL5s4LcIQ67S/bItxO5Wtoc+A3AV3hPEfdl9j36l1 x4vCbY6vOVzyky3KrXBv1jBno6rjVT5gj5ufMPLSEQdndi6dqGyr7Oz865Lf Rb46tOGORifv/4Epj/5sryMZllsfC8euOTW9eM1UqQ85z0df/utxvk9TD6WJ fejzvGDklEf/dCfD1OBmGfL+8Z/3D/P+YZ63/nno2wNy7Nc/D8qjz/uHed88 Dxg57x//YOS0hz1FX211XXtX3XGYWm5k22R1eUPk7IG+/qp9l1kb1OVUtXDj lEXDv1tv+NQybVnjIR6q0oBHxR9O+EX16Bn9e+2H8argm0l3DI/vqBV3M/oG zU8R+bCVhbaua9Pl/yjf4FTGlw/9H4i/EVfXPv3o12hV4D2qwpa6Cerzdbsj u82/b7A6cWSI1cyZauvx0KbrxoQL590pvSS81+/CJ+JcDnUeHygs44eJHevm 9w5p4yc86fZt42+lfYRp36Ub//xrxncX5H3C+G/ttPlSg75nhB9GHzvv62gQ /RYFqffXDLoh+jDlr9d5NMI98Lrw7rtZw6bH3BT9tBYfPVn/a4jow5SfvvKN Xbv0O8IH9q5sYmYWKvp+xvIpdkHhog9TvozT+l8erQ4TnttvW6ObFSJE33W7 xePaD6NEH6Z8fKM9h4/vvi9sa36gwZa6MaI/9WurxOTMh6IPU/5stKe707FY 4U1RQ7cc3x0n4xHlYcZTxifkMHL+H/7o4GbrwAqXpL3RnvXtFab9wx0SrnXp czBCmPap12f8oP70Y/lBp8zTxD/mY5j5FWa+hJn/YOYzmPkJ1s83jF/4f6D6 P8vW6/lUq8/U3hkvGG8Zf2D8H79+wianY4ky/vmvMqQtsU20YfyDed8w5Ye9 XBS2dZc2X8KUh7EfZnyEsQ9m/IAr+t2pMHBjjIyXjXq32hz9KlTGw9JT1gT3 en3zD/Nhej3/oDJd05Vd/DSn2NwYtWfsb6WvrUhQn3UM7dW8VJhKmjvZWdkn qzpjExxihgequoWGhVZ9n6iFV1dem9clwqbcisjT6VN+FI4a8mT0rID9wmHR m+84bzsn3MXpmOe3TS8Jbxs0PiH06W/CgW6OIV3OBwjvizHMOF0yRLjj8h4O k6f/Ljx7Y9C0BZ+FC5e3Hjy+1dJ7wl93i/6+u1WU8KPkMWNfbo4WtshLnlzW 5qHwg6B2LY0D4oRfDHrZ+klDo3DPwzYn/aM0HtfM3DvY65HwqaVfNT86LlGt C9vhtMguWgVZfbaq/ipNHlS8VCufDo+Fa4ywPb4xTeN2ceVO7fRLEXZpPchq 9pxUef+Ro/ZNGLPvsWoe+aTP3BPafD+z/I7BX54MUdMGNc+ZG63p7z9fteWi b9KEM8qMODrsdZq0r39UuTRhkbX2Pj/eWuvkmLB04eFJo5t0XpWhirZ1XH/Y /JCsB9psW1B0fq3Ey8z3lJf+bmLp7yaW/m5i6e8mlv5uYunvJqa/M59uzNlf w/Nt+0dO+4dZL9w72PbnVKtIWT+wvvB6qRo7LUyU8vr1xIFn9aYrZ+150n9g 1g/iT1raoYfxR1T2kLSzNm28xL6u+Rk/dxl34A/2nryyeNa3U9+ub4LcJlS2 jlA++SkNqgYnqame20vUuheuitaziTq/5LEKdJ2yYdqzs8r52Yy8/RXT1djC n9al+Ow1UF/mwTDPTx1PqIlDPDw2X0pXA589HXXL+ZSsP/g/1huwfj1yIsvu 2FcvjMqzskXrHrNitfXt8XIubedFyfgYW8Qu68HnUWqy7UzHc60S1b2RlvmV HK7J+Ot1o1bH9WWuKcfn327af0ZbT9qt6v1UHciQ+Y3xsm+Zi6mTE+4bWt5Y +7VhiJtN5TLz/WuU09ip2anqE56FCXs1y+3sfStcmPmQ+ir2s9r8yvt3kUf2 TZl64mGI8A9x3ZZmbLwpnBoXELC2/S1h1k8w8yv1H6vbYYZFqWsit67r3WDZ 6KvC6bd67G489rSw8fbApmO9zwjTf2R9ZXofO8tvPnarhLfWft3sEkvFXJH+ Juspkzzv6bjQuYevCU8u/kP8njeBUl7WTyb5z4OW3Cl1K0i49Fn/dNfNoVJe 1ksm+SH7Pol9nmn9M3ZSWNp3b+dFysv6yCT/Z7mRCVVL3Rf2qWFMbXQmRsrL esgk7+s3Kf7hZ7HCXz2emzsvQVsPMb/9WG2+u+vwKGnvkWYXP87YGSnc8R+5 o9o7hwmntT/1/GHXe8K0D+rrOyLlm8ZNQkW+90ur086TQ4Sf3wwo7XowQHj8 s242ifVuC9M+YNqHzM8dvR/Nzbsm8otlOpxqNPuKsNnPA086rfESDnnRo2qV deeEiVeob/ecah8t2HRexg/r5GJn1vW6IjzbffsnBfMChEvOqxF95Nl1YWlv pv7L835ZyS+9fW1tfqq+2yW7a54Wr/L/3dsebfNpwyCpz+5URZ/Wg0OEczdG jU79Pky42/xaN7odDRVmvKW+uKGJs1743RP5lukHyu5fHincss+UC0P3xAgv tj5exysqSnh0v03eq3ZHK+fCUsXzvn0k/jEf4s+EpwHTankmCS+ftc6xweJk bf4yrV+RB/sHpxX5XBvvn9puzSxd4omUZ3xD3sHt3vdJ57X5YGiD3TMyNj5V bZaXTXBIDFKWexe3V66p6uttAfkDq4XIelnWzzVuPYkenapOOFS23HrfXxU9 HHZpbeET5XbpZJvHv/qraU7ZBvVRmvw/8y//d3D+g9TAbm/H94BJRRK//0nF 73UvYumQIetdntdOs5Hpe3dcVi2Xm6cPmPBUBX5Xcl/lO74S/7Jebmc+of+i 1U+l/Y3p679jx800lVTM27HtY4Osp916BcXVGrhdxrNzazt2mPvZUuHd3z9L 3zEmVDXqpja51EpRz40Dpi93D1cdik5ov2jHYxX2XUr7URciVcoor8vx5kmq IMZyxeL8WLWpWniVQXWN0r++upvSMnWAr4H1NMx6GmY9DaMfUPu28dOmm0Qf Rh9GH2Y+ZD3x+TlD3wYvjcLB21e9jKn4WHja7H6eW5s8Ef54ULUhvbtlCIfv zFhqdjxLuN7qQRHRvjnCs+aea3buep6wn0ONFVtCnglXsFsSNS3mhfDorxJa 9kp+KXyyTc9V9XILhd/UPfrgzZs3wvjD+gd/YPyB8QfGHxh/YPyB8QfGHxh/ YPyB8QfGH/1+IOs1/IPxD8Y/GP9g/IPxD8Y/GP9g/IPxD8Y/GP9g/NPvZ7Le xF8Yf2H8hfEXxl8Yf2H8hfEXxl8Yf2H8hfEXxl8Yf2H8ZTzCXxh/YfyF8RfG Xxh/YfyF8RfGXxh/YfyF8RfGXxh/YeJvn8GW9+p0yBT/YfyH8R/Gfxj/YfyH 8R/Gfxj/YfyH8R/Gfxj/YfyH8R/G/8lXD1XZuihL/IfxH8Z/GP9h/IfxH8Z/ GP9h/IfxH8Z/GP9h/IfxH8Z/GP8tmjcaUswvW/yH8R/Gfxj/YfyH8R/Gfxj/ YfyH8R/Gfxj/YfyH8R/Gfxj/7+4+um1u8VzxH8Z/GP9h/IfxH8Z/GP9h/Ifx H8Z/GP9h/IfxH8Z/GP9h/F9dokVYSu888R/Gfxj/YfyH8R/Gfxj/YfyH8R/G fxj/YfyH8R/Gfxj/Yfy3mX26kv3GfPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y /2H8h/Efxn8Y/2HjjZHPe2fEyf7KUo+67kVKJApbuDwZ4GuRInxxnPfr6dZP hZvtvxRe8XCm8MJNllbpp7OFby9xWXbzcq7wZzNSIg8F5gtPGdWnxdJ7z4V9 +5xyGWksEC7ZuUqMdfor4aFW81tVLHgtjD/68zriL+JH/fki8QvvX/YTTftD n3yckDc8OlP4+lyHtrdrZwvPe5Qy22Z8jnDzAdN8vDxzhRMuZeb842mesL69 YC/tBaa9wLQXmPYC015g2gtMe4FpLzDtBaa96J8n612eH+sH/GM+hZlfYMZb mPEHpj9yXlk2Z+m6kiEZcv7xWUFycHJmksSH7CfSftlPoH/CnBdxfkJ7IH6m v8OcHxFfsp/SLnrvZC/7YxKfwcS3M+vEtLLs4i28YY7zNIsOBwzsH1EeJr5j Pwg5jJz/h+e4Ddp9IfShnH/9aFh/sH1e/B/Ox7zqGPsXnfRIRZ7IelGpyCOR N9o3pH9GmSRhp/XnPQI/TRb2X1ir0L1eqnDlqc6DnFumCY8fmfiLfad04eHu 9cxq1ssULvKT3dFSTbKEPbettnvWIlu4/7oLRRLb5gg/X552LPSLXGG3BRbD rnTNE+4xq/9HJ3rmC6dPWXZiT59nwq5jfYavGfRc2GZEUtG5w18IPxrwqdf4 7wqE1/XqPXLghJfCbbouLN7l+1fCMe1PnGrmWCi8vGWcfY25r4WbNqpYstSi N8K0J+IH9lP05/W8P9or8TDvk/N2WN//GL+Yj2DOSznvR5/3jz2ch1If8R39 i/sGMPVRP/7gL0z7w378g9kv0u+f/Lvnl/rzRMZP9u8YP2HGT5jxE2b8hBk/ YcZPmPETZvyEGT9hxk+Y+Qn+d89Dfa0OrHze5c+fh4ZeiLb0f+FlgG93WbYx 7DcPg/488H3P8/TndfrzOP6vk3XFagdPZAobH3qHlS+ZJZx5YLtdlRyNXW3b VV5umy3sUa6666p2OcK25y8Mytuk8YiFe8NfLMgVNmtgs3ViuMblU2pXmXol T/jslquh96vnCzMfw/r9Ns6fGsSvPrHqv5w/vev8Tn9e57fZe+1nwdr+JvNn E7sD/Zff1PZT9fMn51NynmKaT+W82DSfwsynMPOpfj9Wv1/6vud9f/n8zeSv zJ8mez9ZGfPlwpVnhPcNLrIjZNgew//v53OMp4wfUWU7zkmb+1D1rlTQpMi1 ePW4yq7Wq4bHyXmEfv+6XbHCNWMnGEX+YL7FpU9c4v/l+QXrf/6v6eRllVI3 JUh5l9zRcZ0dHwmHJ1y3rr4oSXjBsKTJv+1NFCZ+oL6bPXtfcfN8LPK6dxut z12dLDzLb11C8LZU4ertTlRd6JMiTPxBfRMbVJw29MoTkV89ldnhqFuacIX9 gzetPJYufK6K07VWt58KE79QX7FiUdU/iczQzn++ts9paZ8pHKk27LMYmyXc pMDCNzdLkxP/UF9IVv9xxmda+aXtrvQqMylbuFGL7NwX03KE56Us+ySkUJMT P1FfnXif85c+yhV5SIN6bo9naTzPwu6b8Pl5wgGRSeOPltKY+Iv6pod8Wn5X uXztfVVdne+3RGP/shf2e7k8E64a0PvXlVU0Jn6jvsuGhQ6zazwX+fRiabb7 1mpctbDW87WbXwg7nDtRYaylxsR/1FfmZNzFfg0LtPef2+/g/B0aj09z7jvx p5fCPh4VJ3VupjHxo9xn2te9UtPWr0Re5pH3i8EHNfaJTjzU7ZdC4aKuTpc/ 7aAx8Sf1HVvvObm4ei3yEXer9W95UmPzW71e1jrzRniwS1Tl3O4a/13nc8Sv jKcrG2f7REzQ2DXtrnVM/ywpT3wr87frnNxeR7T5xnb4UKe+27OlPPGvzOfm L1pfTNf0zfyjzly5nyPliY9lfp+xcFbz1hqfbTUqr5VFnpQnfkZuH/PmtNtc jaf8HN/GfWy+rK8ZL8MG7Rx1zyZWmV9Y1mOJh1Hpz//091PedR6oP6/k/+OW 9H82uYy2/836lvUozHoUZj0Ksx6FWY/CrEdh1qMw61GY9SjMehRmPQpjP+sf 7IexH8Z+GPth7IexH8Z+GPth7IexH8Z+mPUy971Yn8Ksb2HWdzD63A9DH0Yf Rh/m+cHUx/0y6oOpD6Y+mPpg6uN+GvXB1AdTH0x9MPVxv436YOqDqQ9Gn/tw 6MPow+jD6HN/Dn0YfRh9mPUW8SDxJEw8CRNPwuizfkcfRh9GH0af+A19GH0Y fRh94j30YfRh9GH0iSfQh9GH0YfRJ95AH0YfRh9Gn3gEfRh9mPLEK5SHWd/K /piJ9fktsOSP6OTcX5P9XpNc9k9MTHuCZf/QpE993G+Dub8Gcz8N5v4Z9SGH kVNef7+e+JL4RPbjTc8PJr6AeT96OfM/9TG/Ux/zN/YxH9A/9c9XP74il/0o 3fOkPPqMjzDjG8z4BDPeUB+MnPEEOYxcny/G86F9wuxfkU8Dk4/Bfhr39ZHr 80/Y70KuzzdgvxDm/8U/U/3sf8Psd8PsT8OsD2H262D282D2hyU/xxTv0f9g 5lfiN+QwcuIx5DBy4ivkMHLiJdkPMDFy4h/kMHLiGeQwcuIT5DBy4g3kMHLi B+QwcuIB5LB+v5fxhPkYRs74ghymPZHvw3jG+MF4BtNeye+Bye8hn4v2SD4X TD4XTD4XzPgBk88Fk88FM15jH6zPF2I/SfK9uB9q6i/sZ8P68xzJRzIx9fO8 9P/H/ib/J/c1TfVz3gSzPy75l6b4TPINub9pKs/+Ocx+Ofrsj6Ev9zlN5fX5 S/rzKPZb0Zf9V1N5uW9vYs7TmG+YD2C5z2FqH9+UKpVoWUmbHxi/aY/k28HM n7Q3njf/L/kQJmY9BbM+giW/wcT69Q72016zBvb8LXmmdh+F/oh9ch5n8of5 Bjn5eDxf1ju05/gW5g6df9TmU/38ynqH/uK618X95B1tPUR5+kunpGsuTlZZ 8v/kI8I879wGny92NT6U+TmuXJOra76N/0P8w34j8zPM/AwzXsA8Lzj4C4dO W8YaZf4iHkROPAgTD8LEgzDxIEw8CBMPwsSDMPEgTDwIEw/q/RmX4/tZ3tO7 qnTeuOEhPxhl/VDVYF3qU6d4pc9H/+/Kj5PxokG4X/V52nq7pWHO9contfX0 +TBVcXiQtl67siIlKTgiR1UrvrB8o45GVXDP/ZMeZr+oXbPruU5bbVQtbYvH 1gmIUCWC11Wx3xan6saa+96MP2lYdbNf4NRrcWrT9eV2L385YmgXPq72Bd94 tcyj0+rs7c7/6/PnOl1Oankn0Kj0+SL/Kp9uZNXMoMORccqjzAyX2LCHqsau DbNqX41TCxr3u16myl/Pt/ur+XXvypd7V37cJs+gKiVenZHxxnfq6xZmO2/L eHlgRHIjh0MRBqfG/bZfGJmjXs9wyzn6OOIP8UDUAe+tq/e5y3jJ/tq78uvG mDXt53DZqPT5RH82347/b93xxrLyztr7/Ff5d8fbtznduGKcNv+8Ix9Pn2/3 rvy6OrHmP9zfcU3Ge+aLw5WfX29YLUtNzGpuF17HqHpXGDi48NAhpQIiii32 MyqHzPW1XSrdU2dn1ugzvuF5g/3wycF3XmSqdb+bd+mzM8gw3rtx6amfZ6th dVqt3jrpoTzvXps63ptpoT3/5ecevBmzwKhenZp5ZMqZ0+qLwx23OXgb1XTP EutnvvJVN3uPbVvXLEHlF8t2ntDWT63pmnQ0uESC8v0oZobl4LvvnQ9Ys8qc IIfsWJE/GbJ2xCfj9xtG9Gl9efawTHXsxeYei95cN1SOjlszckeWKrpqd8UN ze8aFkdN3FE5IFvtWrLPyraJUezX5wvq8wEvnfHqPtIzXuKTCoWVCj3S4iW+ ZH5021NrVF6JPX/IH/Ts3djWpohR4u1fGvg9tgiMVyWXpd9vnh6tmiY57vE8 8ra+tU5W6UtiVPduhbvb+Gj7D886f7uqR/s4lWnmEFfzho+B9sX8os83LTYw c0e1c8fEP8v+kXM8Knv8ob+Qj8n6l/p+PPBxerPJv2rlD1Zb4nDhsnDBhhq7 3NbdEF62YXv/oo9+U382f4/1Mf9/+Zv6Rxwr3ZH6rG2PZpe9GCzsu6KWx6W8 u8KLV0Q5z7DUmPU19dUcd6B5gw4RIrcblzhwdtlI4dyux980qR8jfKHrlOiY /tHCxJ/UdzM9bqbZ7QSRP55uvryh9SPhdqMc7pt3SxKuHtv9RnREojDxKvVN DPKsdS7hschd+gS2iO2TLBzeqfnK88NThc9dLDN7S0aKMPEt9RU7NjNw2ssn Iq9rtSVm24Q04Vk18lvNdEwXHrInrE6vEhoTD1PfwK/2frGlVKbIRxc7ft3d RuOShbEztnbP0tpHpztJS8ppTPxMfW5tzLZMq5Itcq/c8jWce2s8LK2b//T+ OcJfW7XqPLKGxsTb1JdZd3zy15a5Ijd7NNvR3k5jz2iPmr3t84R31nDdat1Q Y+Jz6rOpFGBTr1m+yPvejbzRbqzG+YGlZ9Wf9Ew4qXRBSoXWGhPPU98Gc6vt b9o/F/k+v04WlaZr3OPC9Jtms19o7b3g2y5PbTQm/qe+mKyNT6K6F4g87ZTb 7PT5Gm/7JbR2zJKXwitSrroG9NaY/QLqs4rP6Xq2/yuRd9pf9NZNF40f7bR2 Ore2UDgssv7Tg3Yas79AfQtDhu7cbP9a5D9ummTpvlnjVqt3396y441wvYA1 Xy4Zq/H75vO2t+22+YfGCbJ/YdNr3r4pRRJUnwETB/Uc4KfWnrm1sGjDBOXi U297TJK/KjJ9cN+kdglqqJP5/dA7t1SC0dc9rmmCGuNWxr7r7RvvnR9ctXJG zx+bJcj+SGHxJl9Nbp+gak1s3qta4W31ZWxB3NkWCepVixWLHP8ZoubYVFw8 qnSCcuixq8fOz++qyYvmta759v9njx5vl58f8rfnG48Z0GrRkf5GdcfjRPdJ je+rlFjrL5u3NKqOFg0fnkm4/975yCPOn90VFRIn+x1f/CMl9Zt+carRT4PK Bt//kK/8IV/5/52v/D8uP/kd+cQvatRJWOwxzuAQsXhz/+KZ0r4vhi7vfntw jirYsC8iu364wX5bE5fHpXJU8qzt3zxxCDd8PLJcgW3FHLX/WvWug/3f9rdj UQnuE36V/aGfu4yu+ebiVdV++qTrvkaj7Gf9ltDOyuPt+pl4ZklHw82Gb8cX 4hfnWZt3hZdMUPrvA/F82f/KuDf4Z9tF8errrm/WfjzMVfaTKN/o9j9+OlE/ UxUUWK66VRBi+MhtoU/9Rdlqcf3jg83MtPMx9rdOr+uf5bcqW/rj0Eveztld spVxz09Jv/4cIvtfjgEXg8K+jFeNggNiN5x1Ndxa3qbY7yFGVb5Y2eykneHq 7iJHx6+Gvm3nL/d0CUl+oLoVXXJ00kMvw5U67be7/5KpAkNrenbvcdMwpeY3 A+4+ylKteoyt8ezaFYNDRqp30V5avhj7Uex/wOx/wOx/6M+X2L9CH0Zffx8T 5v3p96dg9qdg9qdg9qdg9qdg9qdg9qdg9qdg9qdg9qdg9qf09tK+sBfGXhh7 YeyFsRfGXhh7YeyFsRfGXhh7af/YC2MvjL0w9sLYC2MvjL0w9sLYC2MvjL30 T+yFsRfGXhh7YeyFsRfGXhh7YeyFsVd/P4P9D+yHsR/Gfhj7YeyHsR/Gfhj7 YeyHsR/Gfhj72a/Bfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsZ/9IuyHsR/G fhj7YeyHsR/Gfhj7YeyHsR/Gfv33TvX3L5g/kMOsv7gvzn4zjD6MPow+98vR h9GH0YfR5/49+jD6MPow+zH682r2Y4j3YeJ1mHhbvhdmipdh4l2YeBUm3oSJ F2HiPZh4Deb9yfddTfazfwMTX8HEOzDxCu1Xf9+E+ID1Nfu/PF+Y9YTs/5rW VzDvR5/vyHwO68+79fM1/tK/YPoXTP+C6V8w/Qumf8H0L5j+BdO/YPoXjL36 9yHfYzaxfF/ZxIzn+K/vn+zH8z7orzx/+ifnjZwPcp7I+o58PtarsP57ouhz 3sh5JOtJznfZT2W/FXvlPrCpPv6f8tJ/THLq53kQH/M8YfT5XinxDf2Z9R7M epr8SpjzXOI9ysOSX2mKxyS/0sTI+X+Y58nzIF8SJl8SJl8SJl8SJl8SJl8S Jl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8SJl8S 5vly3g3z/V2Y7+vCfF+X9sX4BtPfGP+Rw8iZD5DDyJkfkMNynmSaL2S/xsTI mT+Qw8iZT5DDyJlfkMPImW+Qw8iZf5DDyJmPkMP6+xr0f8Yrxn/GB7n/byrP eAJ7GAKLjjyTI/eLkFMf+QDUJ/kBJn0zp3X1tg3VeKRV3+5BL3JFn/wA9CVf gO8bG8uNL75X4/K7fl+ubLR8AX0+vn48ZbyHGe9hffzPeM74ynjO+M74SXnJ 3zOx5O+ZWP99Dd4X46f++83cT2H+5nnC1M/74P3Qf1jP4x/3zbCf+lgPwNTH +6I8/8fzQK7PB/5wv+Xvvd/yvz1f+u++L/OufOn3vU+jv4/y7943+bP50vr7 He/Kn37X/Y//dH41/Z3+rD9Pf9d9E/19Ev19kOmhi3NL/pf7Hvp8Wf19GH1+ 3Lvuc/zV/Ou/eh/kXfcL/u77Iu/KH9bnE77vfRB9fuGfvf9BvuL73v9433z0 d90X+U/f7/hwX+PDfY0P9zU+3NeA/9P3L/7T9ynedd/hXfcXPnx/4sP3Jz58 f+K/7/sTrG/k+4bv+X2H972P8Xd/D+Lvvu/xP+2+hv4+tv57H/r7HPK9q6Mj L6zIm2XQfz9If9/j/wAFGAQz "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl1dwVVUUhveGhBJKQhJAgUBuSGgJIRhCCShVFCtiBYNAiBQJIIhdRFFE HtQHdXyw997H+mjvvWFhLGOZsYyOjo6Ojv7/rC8jD9/sffbZZ5+1/lXuuYX2 jYs2dEsp9cgpdde4SLSK0eIO8Y9YJ44R08UYcbyYIcb5OaFHk8/oyehz+nDP ayWimOulok30EovFCaJI9Be92btWrBGVYoVYLvqKctGPvRWMpeJk0SHKxGD2 +f5mroeKU8UgMYRnSrCxjdF2rhedYh9xhpgpGsR4USWqxTniSDFBnCVmiUa0 mIEvBfYPF/uJkaJOXCp2ihFiIuf53qFif1EvpojJohbNStClFe27EYdx6JzR tXivGPRA157suVi0YEMP/PW5Y4mzz5gkmkUN7+uP1gvFbPzth7YD9opBOdpX oOsAdB7IvcFcb0b7QcRiX/Z0Eh/vW8NYgR4N6NiMHgX0noCGVaxVo2sBzXeh dRP3atF5B1pMReM61mcSw+HoUop/y5lbr2PFUWjWHf0d6wOIWxU0cM6cFHlT zXUjNs9NEfuR6NrE+oEpcqWOeIwmnjX4X2CtlfWDiOko/JvMmQvEfK4PS5FP taxN5Xw/PwY/PE5nfrCYt5fe1by3nnhUEb8BxLaReNj+SuJXQXxms+4cdC72 wu85nDuJ9zXj91zsb8YGv/9w/ByFHwvwy/YeRwzm4Wcte/3MtBQ1uhBbxhK7 Lv2Oxm/X6yHEsQg7rcMRKWrSfru3rMa/FuJUhx3zmbtHrUzRf9zflqXoV2Z5 ivzp6jVec987EU1K2VPGdRuatXFWX+xazP0ObKrkmQ7O2CqW4Mc20c6z7djX ZcsKnrtArGK+hPOLiF8H56/iXWXE0jXmXO6qVffJjeIiMUxsFxtYPyVFH/c5 F3Jdydo69pjO9H+PcF9wT1jPuT5zC3uGcfZ6npslzia+rt8zU+RjA9fDOW9T il7jd2zmPacxH8roa/cm5/jpnLGJ54fw/i3s78SGYWiwFnucg+emyFPH9nzi tYx4WP+V6G49V6NLJXps5xzXqHuU86qF+SjGHcwLxMK9wTl4Hs+537gfuU7d /3axp4lrx9D5vpVY3yb+wpbrxGvcv0n8hu03iF/w6RbxB37s5MwafD0Jfz0u Zf6heDZFPT1q23LU/dXWOkftfiam5bB/hsZrNV4ipue49vxKxztHTY/W+FCK ntGk+cQc/n8g7k5Rs5+IF/F7iu6/g26vOrY5+sRkvzOHpi/5fo4e9LzjkKNP PSfeRNP3xXsp+stu8VEKe2zXbuYf826/t1brD6ToeY+LcTni+ZRtz9Gj3hVX pMilz8UXKfrUV+LLFN9idwn/ILgeJmnck+LZQZrfS8x9RmmOcx5GI+tTkuO7 zvldprFvjjx+EPts2xvi9RT97ioxMkfvvh9/7EuN1go5vn2s5TXo2ai1CTny /h5iUE+cH0kR61fE2Bx9s8o25vhuas0RA+tfn2Of9wzRfGiOer4PP+1jc474 OXZ70NE6ZH+35qjXgRorc3y7jdBYnaNHlGusyFHb/TRenqKWrUd/NOmp8bIU 9W7NeqFbXY6ccD5007xPjn7i/H05RQ6PyZFDzp8XxFsp6qI4h3227W1qwJqM 19oTKXqFbemdw55fxY0pasi2FOWw509xa4p+/DR5YN//Fren6K3OqSfR5Hdx c4re77x7LEXu/SvuTNFHvxc/pPgdfcb3c/Tx78S3Kb73fxbXp/h9+Fp8k+K3 8yfxY4r/AZ+mqGHX7+AcNeN6+Q+NyuaZ "]], Polygon[CompressedData[" 1:eJwt1FVokFEUwPFzp2KArdixiTWnM9mcsdmtc8ZQUXGiouKG2L0pCsaD3d1d WNgBimCiog+C3d0d/8M5Dz/u+e5XN865kWkZKekRItIL2XEOV9AOHfESb5GK aDzDbDRAVxQMIkUxmjgGJYjLYCxxDZQljsJ44lhUIN5FWxNNkI/rvChFPBLb cNv/XQ2XMReNfEwn8RVpmIJT+IGByMRp/MYQZKEI355Hmyg2xtJcz6dNEhvj cixGS7TBUiz0sSVjGRahOVrjDP4hHVNxAp/QB5Ox39/RZ+viGq57HIWLOID2 /s0luIUOqISbOIr63nfYx6hji8M9PEIKKuMYVqItGiKS+S2g7SS25nd8Tsne dxzv0ROTUJznd9JWR1O8wH10RjcdE/f30NZCM/zCZgzFYLzDarH86YGneIwq 6ILv2IhBGIBZeOL3EvAF69Ef/VA+WM5oroxDPHFcsLWZDiE+SzMNGajH9Q3d V+/7iLXoi95iufoK3cVy9rVYTkd7319s9W8NQ3a+lwPDiUviKraL5WJj5OZe HowQy9lcxDmDPat9+YkLBMtlHVOpYDWhtTBGLBdLBos1J7MRR+gzYv/8KZbD Wb5mmvuFuD9KrAYKB6s5rTXt24Fiwcame5hIfF4s12ZqHnGdEGzt4jFH14Hr GZ4v63wPdO21pjb4nuleaU1t8j3XvdaaWuV73sNz6KHvqe6l5uQa3wNde62J FWI5qv/Sf1bl3/toa6MFtvge6NprTcVw/5DuK1rhjY9Z30/13HoudvZojl3w Oetc9Ux5IFYjWhuaw7W4d9fnPlGs9ssFy60kfBM7QzLFcvCPWI1rbWuO79X/ BMt9HfNuVAxWK1oTBzU3gs1Fx/xZ7IzSs0lz8AjqBJuL1rTWfg2uJ4idAbHE 1YPVtvZdEqtRrU2t6Q9iZ4yeLVpjelbVDDYXPbP+AwAdpUI= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHl0VtUVxXMPrfNQUWtb0QptrXaeWztLEIgJCSEUUXEeCAJSEJAZxIBV KaSIDSAyz4MioEyiCCIWQUhAVEAQFRUBh6ooUq1nr/N76+WPvfa777vDPucO +36v8fXd2txqBQUFn6eCggbO3/XCJY6WXv6ec1Pn5o4Njp2OHY4m/r6xo5k/ /9D5GMd7/vwT52Md7/vzz5yPc3zgz2c7X+p8meMX/ny847/+/BvnEx0f+fPv nU92HPbnPzuf6vjUn9unaFvs+Ku/+5rjiD83dT7q/JnjV/58guNDf76cuiWO zo4OjqscHelLv1/paOUo5XdxGfXErR1Xw+WOa+A2jmvhCsd1cFvH9fDfHP9z tHPc6LiJZ8V+Mywdv3O9Jzk+9udKdF3h6ARL4y1wB96VoPuP3u4Uxyf+/BXn zc57HF2IQdr/jj7pKlb+Lea4yELXbY6e9TQOdnSjXTfiVPte/C7tvWHl8nZY 2vuhVfkegI6ujqGOHox1rsXzHY5BjlsZpw99KO6BtNNvYxx3Oqp4dzXz8E/q qY9h6JOu4bB03QWr73/Afen3GmKrIn61v5vfFcc9cH/HvbBiGsmYytO/HEOI 5Queq9Gb5fU+4te7EfQh3aNpN5QxO5G7+9GkmJ51LHUsczxIe8U9ltgU0zhY 2sfD0v4ALO0TaSftE3invgp8LkY5T3LMZOx/O6YQh+KbCkvvdOLRnCx3zHbM cczgndpPTtGn2s+ivxrq1qB9Dizt89AtvfNhaVwAK+6HYMWRLPQ+7FiIdo05 l/7U1yO8UxyLiWGaYxHvVF7Cu+nwaGJ7lHczyP1M4lgGK47H+F2/rSAejb8S VkyPw4ppFayYnoAVk1nE8aRjdb2YnoIVxxpY2tfCiulpWHGsg6X9GVga18OK YyP6pOs/xKM53AArjudg1dtE3VXModaj9tbzvFMcO2mvdlvqxVELK446WHFs hRXHNlhxvAArju2w4ngRVhwvwdoTL8OKYwcsHTVo1N7YhS7F/QqsmHbDiqOB hebN9fpS39rrOsN0fn3f6xQ6t0j5uaA99gbxKI59sOJ4E1Ycb8GK421YcRyD N8rP9vNO4x5Ag/J6iBikXf57ifPFKfekq9AmT5Y3y4elUVrfoT/1dSzeKy88 Dr+VfzSy8GN50kn4rfo+GT+Rz52C98rnTsVv5XN9yYHOnRPxLvmlPFk+LP87 Hh+WT73OOtiKDnlce3RcQfkgce+izZX8lvlxB/KldvLOzLNV713ytDvlPq0c ncCdojTlvnsTfXSkrLErKWe+W0k9eULPlHter5T7cSfG70y5HW3ko/IVeZp8 Rn5bhOdlnjQ85XeF64ivC31Jd1fKNzK+vCRb9y+l3Hd785u8ZSg6+jE/6qs/ ZfU1gLL6Hkg5u7tcSzxq1wfdg6inOAZT/raFfw9BVxVjZ76b+fAwfqukv/oe rPh7oFf+l92lNGevptiLW1Luu9pvOhd1njyJJnnZCDSNpPz/FB4s75E+eVY1 Y4ymrDHvo6z28pQJxDCG36Rd5939aJVP6VzJ/FUeI2/Rmbww5V47Hr0TKFfR xxj0TWS8UbSflHIvnI0m+dBUdGS+pPYzKKu/mZRfS3HO1qXcp6egfRb1qnk3 OeUePAut8qa5KffdecxhDX1kHjwfrQuZh3G0m5Nyb16Q8rvIWMZcRI6kazFl 6ZYfPYq+pZQzf12KxuWUMz9bR/wqL2HsFdTLfHdFyn13Zcp9dHXKvXMNY2gv Zd64njEyH3065T69KuVeuzblfqx+tX9GMOeZn21NuY9uQMdGytK1ibL6fZ7y NMZenHI/lhdprWsfbE65p25JuafWptw7t6XcLzP/3M5vy+hPMe+lj9qU+3Fd yv1V7bUPtf+7pvzuIu3dfd9X8d8h87PM38TyPZ1P8h55mrznAGWtee3NasbZ T/tvWOxb/X6GxX1Ua03/Zc7i/8zpFvVUR3W/ZdFXibwPDzvT4l6o9SkPOcjY 8vev4/GZN+8jbvm3fEnnsDxL/9d0FsnvKnh3lPelFv/ldB5/059Po9zWuQId 8h/5UObbh9BRxzivpfz+8QrzqvNuD3Oyl3Itdfem/G4hrfIXxSofO8fCv9uR Bz0XpfBnebBiUi5PJ2/Sehr15cnyRXmivFH+XUbc8njFrruA7gHyUnm77ge6 G2xy3mjxn3WzY4vjIoc+HDzs+JHFWt/FPOgeoTuE8qp7h+4E8nbdR3QXkf9r fow50pw3YN5bWfhN9xS/n8n8NnQ+Dw/Sd4fG3M8U3znEqN/kU3ewXhqyZtRn IR6mdk34vvFVizWnuajgO4buGrqj6f5UzPptyLhaa2ewVs9D5xDWzRHWVDnx K/asL/VzvsV9Tve2CyzucLq36Q6n97rjaT2VMKd6dz73P9W9gLbSfyFtWzr/ wOLbi/T+lDuf8v1L7mGazz9wt9P8/9ry+f8td7hCxmjKnF/EvVD5+LFFDJrP P3EvbEY+u7PuLub+p3X0F+6L51JHnt/Gos3n7J0WaG7E2ilijTcn/60t7k83 pGive5TuO2rXkraqo/1ZRN1i6regH/VZzm/qo8651uI7k9bgzy3WpuawFWtD a6At/X+HddKMPFTwvgV1moMKNCvGcmK+kHWmNVbGXmoNDrNGitkPJUBaWgHN W2nK96r6sAbutRZ7u6tjrMW3On20u9NiHyjHbdBQSFyaoybUlZ4HncextqY6 JrK2Zjumoz15n8PZP41Yk2eTy9bkXLkvszhjyhlX81tIHpTzS3nW+zLa3JDy 9jpXS+lT77c5v8B6fcKxyuJ7oe6q2XepSV5ux15QHA8Qy+uON1iLbzn2k4+3 LTxMGt503mfx7fA9R2+LPf2QY4HFt8yh5FT5zP5D6ly7y2IOlP8xjgMWa2eg 41OLc2S+Y67FnrzN8YWFdw0jp8rnO46OzEtfrUGLc268Y5rFft/lvNPiO+hg x1GLb7Lqr5I+P3buZ3FuHnT0tDj7pWUAeto7ZjHvI5w/sThrlb8J5PBy504W +6W/Rb/q83ZypPxc5phiceb0YjyN9YhjkcUZcbPjFuZRa2oy6+pex0cW573W 10zW2CDHZxZn8CGL/Cq3jzmWWpxlSxyLLb4rv++42+L8Xe5YZvGNWdqHoF/j d0PDPc4fWPhHZ0cPcj6SvCgn1c6jLLx9peNxi3OhxtHF4gx40bHd4pvrBsdz Fufmy44dFmfihxbjaaxnHestvm0fscj7WayLeayNjmiSnr3Or1p8255BrpXn w+ROeVvteMriTFcO3iUP6xzPWJzpux17LM7ftY41Ft/Ftb76WKyxLwE/yCkf "]], Polygon[CompressedData[" 1:eJwt1FVsFkEQwPG7obgVl0CAQghS3F1SaEkfSEh4oHgLhAeguBOc8IJrkLSQ YMHd3d3d3QIUWigUCPwnMw+/zHe3e9/t7sxchcTkToMkCIIEROAzFyP0Bopi HdajKuLCIDhFPIeGyOB6EXEhyqE8ruAGmuIH4xnEMRAUx03cRXNkMn6UeBL1 kc71eeJlNMZ3rjcSN+ALv6sR+2MeSuMf95YTl6EdvysTZ2GYj5UkfsUohCiG FVgpNrc9cw4Qj6AuvnE9Q2xPupfCeIE3aIssxmf6O/S/i2AxBqISonxt0/1Z XeMqrEYVxPL8buJ+1Na1cf2R+AFDQjvDLExABLJjG3ahJtKYM5W4AGVRyM9m C6r7GaUSU3xv+s5MjEM2lMBarPG1aE4Pozty+xkk69mhI5KY85T4GL/43crn HkM9f+a4WA41d3ovCU/E5hbEGbGa0VppQPyDyVpLugYsxUTNn5/hDt+z7rWG r2WwPhfamv6in68tnvgbs8VqU/+jGw6iDnLhkFiONbd6LwHbxf47Bx7gHn4y 3oJ4UawGtfYaERNxX2ysAHrigthYXlwTq3mt9SbEXrgq9jsfbovVvNZ6M+Je sRrQ3Ncijtez9dxozrtij9hYTj/752jtOehBPC12lnkwVt8t1lua4/d4p+fE 3BhiH7xEG0TiOnojv1iPnvU96V60py/5HnTt2oNzMEWs1kqhM5agImJCq8X5 KCNWk5rbTWK9Gue5m+vPag7v+JnqWeo34DX6ah5D67EBYj0V5e+Y5jmP9z0N Jb4V25v2zEOxmtNaa4kTYmekZ6PflNFIF+t98Vw/8rma81diPa69rWc0HJ/E elu/gSORJvYt1G/IVnRBB+ZH+971AxrtZ7BPrAa19rTHn3kOIj2HOz3Hmlvt 6c1iNam1qD08SaxHYv0dmqtbYrWjOfsPg1Gxbw== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmYj1UYHe77C4lEIcmWhpkyDWUpI8pMyFC2CmlKRElKtEfRvqloE5KI Slq0qKgQKiVpI0LW1qd9X895zvk95o8z537fXb573/e873t/03jwqN4XVMzJ yVlTIScngS/Hn6FAS+A+oDKwP3APUAmoBbwP7AbmAJuAU4EETAICqAE8AFQB DgDuAjLAfsCDwN5AbeAm4EKgP/AwUA04EJgOVAXqAA8B+wB1gUeA6kA9oBDI Bw4DbgFGAwOAycBeQE3gNuBi4HTgDuAMYBDQDGgMNDHXBw72M7kBcCbQEGgK HOp2I+Mgz6ENHrUd8suNPQLI87uBHs/5Z3lMnu3LvR9u5rxcYB4wF2gODPbY Ao/L9d5zvQ/u/Wz3twJWA28DPYAngMeB1sBR3lOhnwv9/XM8rw3wPHAk0BZ4 CrgaGAa84vntgGeAccBw4DXgVeA4oCNwDNAe6GQuAjoDx7q/q5+LjY4e+xww AjgP6AIc73HLgWVAifs4pgPQB+gJnASUeg7XXgWsBLq570SgO3CymWN3Atv8 7lNgjdejhqndfZP0Sc1Su9Q8dUQ9UcPUddhOBbYp9UZdZ/ydE7wn6p9xw/hh HDFuGD/UM3VNfVPz1DX1TW1T+4yBrBbpX+qa+qXeqOVB7qeWT0vSKvVFPVBj ZZ7bwHMal+ujxqg/6ot6ysZBVlNz3G7isdRlvn3Y2b7JTXs028jPHJtnexR4 TqGfOa6lnwtsu1buO8rPWV3yeajbnENNtvF46rCtxw9xP/dBjbfzXGqW2qT+ zk3SL3VJzVJDRT5/vvd7AzAxSVtZ7VKXL7pd5PkdbQPmqgG2N98Vl7NLF/ue uqP+erqvq/uWuV3scd09ln2lfs7qlfPfdrvUa1GnvYGLkvIl90D99vP7bR7D uSs9j9/blaT785PitdhnGw+MSdLQxqR4GAks8vk7+Bs8b32DOqT2qEHqr4HX KHN7XVJt4PMlSTmU9r40KffR5pcl5bWCcmtx7hVJuYy+viapDtHPm8309VVJ OYuaGJuUWxvaR8Psw2eBBfZ/kf3ewX3D/Y45m7n7EGCrbUNbrwUusE1Z00Yl 1bX+9j3tQY097bUG2h9ZO40uZ6eLfb5hntPeth6T9tSXsd7/YNsoz2fl2Vv6 G+O853NsI9qHMXJlUpxcB0zwuvTJtf4Ocw3zVzZ33Z2Uv6j1ibbJ9UkxMMLz bvRcnvXmcme6tdyZbrfPmAcn2T53ul3DzGfm0oy/Hf4+28yV1AL10dT7m+yx U9yuaZ7i8WN8xjL7dYHtSr1QT9TSeNuCY6cm5V/m8Wz+pT3ud5t5mXcQ5nrm +Wlu1/a8qR7DfEitNHf/NK/JHM3czbw9I+m+Usc8w+uwj7meeX6m23XNM9Oe GjDde5nlNVkDmNNYv4+2j/nM/DY7qU7UM8/2+Pe9V+btZm43t//vtT2re041 98312M1utzDPc3uJv8s9zPd+Wns9rlvL+53lc7H/SY+nfh9Le3Q633M3AO8k 3U+o64VJ8bkCWJ9Uu19KykHU5wtJNaCtmc9t3Mccxbjo5DbvIR95frZ/kd+T X3abOZB3F94rFifVlXbmxf5Wdlwn73e191zs9yX2B+ewHr3uNTnvYz8f53dL PZ65eJnPSF7u9htuc8wnfi7xuxUeQ6z0GiWez72U+j339mbSHSg7dpXfr3df N/tzic/L/rc8hjmQ9aaXebXbPfxc6nfv+j3rDGsP6857bp9i5nM/81q3GbfU KPX5RVLu5fMHSTWjzO/ZZk6e4D6+p6Y+TNLVRPu4g/35se281LajbVjHNno/ PN8Gn2ON+/h+pNs8x2dJ9z/mK8YiY5fxOMnvmd9YW1lD+ybFCGOG9WiL2y3M fB5im9GmrCmfu93LzOdsveG6rNfb3e5r3u697XC7r3mH907NMR5aea2dXm+7 +/v43S7P3eRzsqYx3zHHZfMicyJjeUggn4Z+k/UG7xXa8zZwk1Bc9QFXCq25 DvxBqBauBb8X+t1QHdw/VEc+An8Y+t1QCs7JyL/r0d4Qiv9e4EzIvz3Af9ue J6HdPlTzd4JTKDaPAFcJ1ekd4F2huP0O3DQUe7+Am4d0/zs4PxTHP4JzQzHW Bbx3Rvb6DO2KodxyfOicPGNl9PcNaaYauCxkw93WK89yJt59mXRX+Jfnzyjn VQJXyUiL72LMmnDdAg8P1dd9wWeF7hd/0OYZxVgmIx/Q/sXcZ6i+bQR/GvrN tAm8OZQTvwR/HYrtEnDV0B2Ke6/s/Z8A7hzSSz/wV9Z8K7SHhu4xK8ArQ7n7 K3CEcsU6n5cxuwrv6ofuI6eDB4Xy/D3gu0K1cyr43lC9pG+/sX9vBd8YqiGz wTPDtRH8YKh2PgaeE6orVTOy40bb9eiQbfPAv4biuxn4p1CuXAB+PFQXDwV/ H8oNjcEnh/LHYSFb086HgLeHcklD8OpQvmkR0ge1cSf4tlCc3ACeELqXjADv F7oDvgg+IHSveQ78bOje8Bq4Tuh+9xS4VujeNzjke/q9JWMldPf6C3gyVN8H hHxPv1N3+1h7W0O+p9/p27/s38NDPqZ/rwVfHbpzXQW+LHQnWwY+MHRv+hv8 ZyhPL6YNQrX/i1BcMaa+DWmLuvo3FMPUfGEoHrgf2uYO22cMeGzojvgDcGXo TlgzZC/a6jvrj9q7FHxJ6H8z3O947/kf8H8h3RVRhxnVgFFoXxi6j04D/5aU r38FpoTuZn8C80L3ot+BGaG7FvU13RobTb2H/j/ENR4IrTMutG/uuW7If/Qd 42C3Y+FEcPdQjTo/FD+MnT+AR0J3Ifr/BWvgJ+D60B1sCbhiRvntabSPDP0G oO1ftf3pqyvsL+aknqG8VDukM2ps/5CeqCXmxS3hOxK4Qkb3u8tDtqad7wvZ iPbpina30H2fMXp/KE5/Bm4J1YJ6Ia1QJ4zpyaG4fp17Cf1WOQb8Vig/M+bm h+KuLXhp6F7+I3BN6A5/Cjhl9JtjEdqtQ78BHg3Zjnbj2i95/YHgRqHxtNNI 26od+I3QbyHWk4XWJM/9SujszB9zQzmE33nG3zoPfG7o/4X0A+sNffFESDfU DOP7ulCMPxzSEPVzN9q/JP0uuD1kL9qK7yaF3jOfzQrltBqhOGeMLw/ZhTY5 OJRDmT9vCumD2mBevDmUG98MnZNnPCNUV5j3JoZsSnv+D4sFatw= "]], Polygon[CompressedData[" 1:eJwtlXnwlXMUhy/n3KSytBBZUilZimaaSHZjxjITNaaFNC3Son4/rVq0oFBU xhqTUCY1LaJlshSNQlqVNk0lLUwLZR9Kns987h/Pvc/73vt+l3PO97x1upS3 Lju5UCiMgYRufJwJ7aNQ6AvX4z/Ah/gmeB+vAZ3wQdAHrwb34wNhHX6C7+Hw HtzKddViobAf7w3tub4PRuLtoDF+JZTh6+Hb9EJGaC64Ef8VluNb4A68CTyN P64x8NPTY+neRXhbeAofAzfhf8BX+FaoorVDOd4WeuAPaU34WGihvaSffQwe wDvCMLwbVMKP8D06vIeTuG5T+v/DcDP+N6zGt8EN+C/wGb4Zfobb02vvCF3x g3w/As+E19ILxoXXFMTu2vRaNMcB7YF7O/g+A8r4rR88h3eA/vijMEFrh574 Ib77hcfU2u/k3hOlPXTGH0zPrZy3xO8uzddMNYAf1rjhORTbOvBkOMYz8Jkw FT8XzlesYaj2Asvwc6ALPhgm4s/DJLwGvIi/kPbX4SX85bSfBRPw8VA9/Mxo za2a0n/Deyvn+tnSHkcpthoz/J+B6ZgoFuMV53TMFCs9o70NSP+mPY7TWPBK eM6xio1qPHwviX0rrpurVmFPOsfK7UfKCb9fka713cqZajG9Vo1xF94UNoZz sAq/Lj3WHDiB/wf18A3wNV47/dssuCd9JnUWlYPTmO885RDfpZrU2dEZDsdg mHKpmIfvTcHfhCl4TZiKv532t7QGfC68g9eC5viFMDt8Bt7AJ8PZ4THexacr x+EamKZn02Pp3mx8Vro2NGZ1fF66V6iHTMJfTed6smoI/zxdK11hEb4QGuLT VRP44nTv6QyvqVbSz2pNQ/Eh6bOhPdfU2dOZCNfgfHxBeizF+GP8E5gRnmMp vgQahe99oVpJn/2ZcBxWpH2IYkr8G3HdB9+r85XuWepVy8K97xau7w33wIb4 7/BluCddhv8Fq8I9o0K6hlQ7rcK5vQ1GhXO8Bd+uPeC9YFC6p6iX6Myrto6n a0c1VlW1mO7l6tHqNd3TvU495yB+AK7Bl8Ap6T1pL1rzxRofPg33sNX4+nRv 7w4r8QvSZ109YzleK5079YAG+FHlNNzDv1Htpnt7j3BtqcZV26qx79I9Vb1U e6yL71bOw++gY6WaV60rRz/y20/KYXgPh/DD6b3ojCq2l8OacIz/xY/BOrwN /JN+B+ndo3s78R3p3rco/C7aCvPD76RTmbti0c9uh9/S7xi9W1bAn+l3gHr/ ynCvvir9rlHPrsR15aKfVc1UwItF51pr3MV/v0/PfTVsS+dcudYalIv66dpS ThTbS9JzK8aqrUvTc6vG9uP70mMpRoplvXSvUkw3pnOiXMwLv7s3pF3v8LXp nCvXc2GzYpn2D5QT9YL0WdQZq5w+Izobqtn/AQ+iG88= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHncjlUaftG53xZM+CzZRkjZKSGJlChbaMGHIUL4LDEm7Zlky1iaIntS kkZR0zCVaWqammaqaZuKImtKlrRRUXNdv+t6f+/3x/W7z3ue89z3fe7lOud9 zhwyrvfYkplM5kiJTKYU5KGUyYwEBgIDIpNpms1kHsH4FqA8UAnYDBQAVYCX gAXArcAmYCNQEXgeqABUBqYD1YB6wD+AhcBtwGvAIuAO4HVgMXAn8B9gCXAX 8DTwFPAA8F9gGfB74B1gOXA38B6wApgK/BN4ELgd+B8wDbgHONs+VAcuABoD TYCGwK+BWkB9oAZQEzjHa/m7gee4rilQB6hrHWcCtYFG1sHfbwJLgSlAM689 C2jtdXzvfNuj7vPsH22e6zjxdwvPcd0MzzcHWtlv6mppHfy9C+gLXA+08f7o 70y/1xa4yGPaaWdJ++0tafNiS/rYwZJ2LrGk/UstuaceXsfnV1ryeSf7cSEw y/YvB64o5ktH62BOuton+tLNkr50t6SNy7w2t7/azkdP26S+U1G3pwCzMe7t d+jLn23/auCaYr5ca9kF6GPZ1bHsal/6WXb3fpo6t71skzYGeP/0ZaAln//G kr4UWgdjttW+DAY+sU/XAdvt0xCgv9dS7w77NxTYY5+GWV+hfx+wbfbw535/ RFL/sEerAvvt6w3AXKAIGA+sB/4AjE7iAfo9CvgOmA/MA74GjgBjkniA/c0+ nwxMBH4LHAW+B24EyoV0c/4mYILXVcB8eaB0iCvIK+SXn4AfgUnAZ97X8CRe Id8UOOfMPfuInEGeYG+y78kl7FlyDDmAPUyOIa+wh8kZ5AnWDHuUXMKeJd+w X9nD5DPyE/mCvEL+qOt1tNnIuth39W2DfZrjGMp69qO+n60FHkriwlrWkeOe htbFumNPtLN/Tb3PDq6B7tbHfmxhO+xZ9jB7gjXY0fZa+FljP2ttO+zZHGe0 tK5Gft7K9tr4nVyfX5LyvNA+5bkjxyWUbVOeR9rZ9wutK8cdOS7pYF31rKu5 7Xe0Pca6mXVQV1fHhjbYp+zbe5M4pbPtd/GzHAf1SHnuyHFJN+uiT50cL9rr 6Xdyfd435XmBPflsEndc5XfYx73sB59fbd97WVeOO3Jc0se6sqj1Y0l9Qf/Y m4UpzxcDUp4v+JscRo4YlMQPg22L/HCdbZMThlg/+X+o7ZEfrrcf7DP2IfuO fcleZE+SB0bYD/LGDfZhThIPkBfYg8McF3IA+WJcEgeM9xr2MPt6bBLnDPe+ vgI2JPEKn7P/f+f8sqd4JrLXJ9unPybdM8gF5CnyVTWD/VjdYF/XMNjvNQ32 OPvpA2Bl0pk50fppm/3Lfq9t8O5Qx5hqv/g++aSWfZxmP+nDdPu10uN6XjfF ulmTTyTV5aPAn5K4dFXSGdzWz1d5za9CknXEO9Zs53odsLpYDijJtwnrH4d8 LEnO8XPGYFGxGCz2PspifZkQb3M837ljjO9L4tsnrW+u472gWLwXFov3g453 QWgtc/+wY9zcMVvieMy1ziLHe1mxeC8vFu8Vjjlj+ZBjmwlxZS5/Kx3nEpj/ 0DY/spzp2C91/Gc5tozzGudgtOO32uOZfre559Z4PhfTIttca79Kwu4W613m PdR27NdZ976kPhnu3+udr2c8Hm25wfOlQs84f3qoDnL8Qske/0sS73COZx7P Wp6zf/OYZ+GLSefiGZabPP6rxxWtn3o6+/3nnfcXPK5syd+V/M5G26SO56xz s21Xdiy2OJa8V/w95Wvn5ZSvnVdSvnZeTfk6/VfK1+m/U7523nA+yWufOA4b vU/ul7XzbsrXzvtJPcp8sjZmuBbeSqo7vr/VMfzY48GW/D3IOX3beeUZQP4j H7JX2BusZXLrdvv1qcdDLPmbXEzO3eG1Oz0earnT68nFu7x2t8fkaHLmF0n1 Q/v77cPeJB4fZrnX68mtrLd+1rHbtji3z+v7W2+hdXM8wu/ssS/bHGf6/6Xt 8gzgHe/bpHOK59AB+3XQ45GWB72e59Uhrz3s8SjLw17Peud5sN42tzkX+22b vh2xbdr9xmP2S4R+jzG4rsjreJ7l7pccT7I86vF4r+faY57neBB0NsuKAzj3 g9d/hvldobyehOeZrPw7BTJltedf8PynUFy/hNwXyvF3kEdCefoR8vtQPnpB VsnKRheMbwpxQXfegbOK9VcYHwjlcifktnB+ID8K1euE0H9ynhU8R8hN7EWe d+RN8hbvDPz/w5qf7d+DvL+TQ3skf5JPH3aeeS9hTHhPqOi7AmMzOBSfDc4B Y8+eOCnElzzfyGXkMZ7jvLvfDFzOu0bo+QzIqSF+4Z4+9b62QzYJ1cBByOah Gt4C2dg+B3xoGaox5mSP87Kb3yVCdcvYbHV8PqffoV5jTr5wXhjXQ45tCeg8 P1RvzG1J5/c45lqEORxyZojv7oOcE+KgUZDXhu4pNSEvCp1Z5Mj7k3jyKObO C/Ug83/MNcDaybp+rsJcNYxPJNXRCdfS15DnhnqcdfSNa2my48vYHnecmUee Ub8knZ2M2Y2OWwPoviB0/o0J+Uo/+S2nv+tnNGT1kM/Mw8fOBeO6w7Fl7Etl Ff9WGJ+cVS8zV/udr4aQ7ULnS2veN7Lq/caQbULn5AeQl4XqsQnmr3EM74Ks FLqLnI35KqE4VoWcHjprzoAcGTqbqlFH6Cy4ErJH6G5zDt5tELp/Mf97XQPc 33zvcThkR6+pjvX9QnFjLfzsemDevnXumIfDzgXvUPy/Wtr9UeAe4dnAMe9U nC/vcWmPJ7qnKni+wO+Pcy8edx7LWed45/aEc13GNnmv3upeZl+fCv9LZ8Wt E/0++W+CbU+0jp+t507MtQ/d+1jjP7jOy2ali3p47+A9hHfR3N20s+XpHvNM LOuY807Beb43z76OtSzrPXLfZTye5Bqmn30xV+Rc14P9s7K6264Hngp9/3uR /Rf6zsf+m+cefAny5dA9YBVrOXS3WMl8hr7/LYVcEvrWeD/kA6E7ytxQDbF+ noZ8JnTnqAr7vZ0P1sVY18arkK+F7hnsmw/dO51CNc16Xg65InTXWQS5OHQH Wgi5IPR9dFaoplnP70C+HeLgOyBvD931yJHTQjx5T6juWfOrIR8NfStdA/l4 6P70JuRboXvPu5Dvhe5kbzB+oTPhda4NfQetjD32DJ2Bd0N2CN0TyXP3hrju 4lCtsE5u43uhPN8CeXPoW+ylkJND32RvhbwidLazvwsdk/dDvMCaYa9PCfX7 E5BrQ996a8Cfmlnx1yvMVeg7bkXMFWT1zalriEfIIc/R39A3YPYxe569TD4m p1D/CxhvDt3nnmVthr7FDgxxIvnwtKy4jDzWEONGwGkhLqmQVS33CfER65PP O4fWbAQ2he6X6yCfDN1f62BN3azOxXKQ3UL3lf8DHGDBag== "]], Polygon[CompressedData[" 1:eJwtlvnzllMYh9++dd9PZKfFkvq2Ef4B+zZjb1BmGDOUylIo+9JGKKGQFi1a 0J5EiUraVCqFUpIQky1NalqmosX1mc/zwzXnOs/7PGe5zzn3eavbd23dpapS qQyAWlBdVCprs1LZGJVKFeVj0BYmUJ8GF+E3wut4F1iML4QX8LXwOX42jMG/ hS/wpdAHXwf18edhDl4XZuMfw3P4V7Acbwl98fXqA38QTsPHwgP4/XAqPlh9 4F/DS+Exj8WrYRi+FMbjTWC4xgI34fWY4z58PzSn/km677c0Bnwl9MM3wFC8 EQzFF0Fjvl2d/q0G5XnQS3Og3gbOwhelYzEansAbwhB8OrTW2GnjP/wgHI9f x7MP8Z0wEm8MbyqW4bmtge/Dc7wb7wYzwm22w++FSeE16oR3hkF4PbgEvwde wa+Gjopl4b5r4x2gfuFYFHhz/D7KydSD8uJ0n+pLazA/PUfNbQ18lI6hYrc6 /O318Gq4DY3tDhgfHqPWYhIsD6/JDfgJ9LkL360xUr+zfL9O6dfAe+FnMxUr 6I2vgvb4iYW/Tfx9vQvPUl8Jc/AWMEqxhLvw7jATr1mu9Sr4LrzmTfFp6W9H hL+dB9+E27igPBM6C5rjOfhDMDUc44fxR2Ac3haexq9Mr73WrBFj7Up9Cl6h vBAe17ipD4TP8E91RsJ9nlL4Hf22Fy7XWYHZ4TM0HW8GI/Evwz4jHRs964n3 gFnhPboeX5feC3o2GZ8Iz4TXRGvRivqe8Jocxo/AVq2l+kjPoVLGrMBTewbf Ho6FckhVGZP9lPu0h/A/YQ++F34PPzuEH9QeDfdxLN8eBzvwzjBIZyF99ror JukzWKM8EzXxWrAtPIaneH5bOjco5k+m90iWZ+wA5b/psajPa9NnUGdPe+IY vA50Co+hSn0Vnrv62M37u6BjeA6PpvdUzXKPbqX8S33iv8Lf+La0dwivdVON uVzzZngTmBh+dlLhM1mUa1Cb+lGFY6sxDdNZS+eGHvAPvj3d9haNCf8DNofH 8Iv6hp+09+F8/NzCZ0vnqWXhHKbcdTTlb7Al/a7a2Iz/DO3CbezAd6b7Ugw2 4T/CpvA7o/C307m3Z3ivN6SPI+E9r702FVaE95xy3WhYEs55Y9Jt6Fs9Uy5/ F5aFc7py8XBYHM7JJ9N23cJnQ3fSiHSMFBu9Mw5/B3qF27gCv7XcH3P1Df4a NMAXQIN0ztbe0Tt98T7pXDoPXsT7pb0+XKpcA2/g3ZQD8JfTv82H/viAtKuP BoVzsHLvgfBZ1pg0Fp1p3Z3L0nel7tDb02uktekfzg0L0rlXOUJ3SRvqh8J3 yunUb6F+OPxMc5+QvvsUA+21FoVzu/bcBsqryraVs3Q33lyOTXfkmdTPKHz3 ag11l69I382605VrP0jnHuXcH/CN6dynPaG7fW469+qO13+FJen/BvrP0Bu/ LB073VnK7bPSd4ly/JB0DtDZXxi+SwenXXfSQMU+vXb6TzAlncOVu7XH/gcd +z4w "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0DdSQlEYBeCH+JRgLCwsLV2Ala6CGUsaF6D7QMICzGLag2Kq6VyAERUz CgYM+DFafHPO3H/m3n/uyNRMajoSBEGaUdo9JE4vgwwxTNKwgygRQjrJmXXL GF0kiJNv3yH76GGAfgrOjxjTD4O/R7fED5u0OOCbDT5Z54t9mqzxTpEP9nhj lQYrvLJLnWWeWeKFEjUWeWSBJ3YoM882c0zYb5ysfs8DN9xxyyxXXHPBJRUy nHHOMaecUGXy/79/AY/BNt0= "]], Line[CompressedData[" 1:eJwt0Ucyw2Ecx+G/I2jRJdFbomWIzARncAQztlxFF26AEKLb6ow6enCWPAuL Zz6/97t9o5MzE9MlQRBMscEj51QZNzWkWa3WC23VbW3RnLbptXbojrbrrnbq rXbrgXbpofbonQ7qsQ7oif6RcJ/qK2+s8MKwPckQKUb4tf/Q7+5j2b3GETHv XuLse9+Qdi/pKnlGvff0mScuGbNdaYFvtmi2LWqGT74Yty1oVJtoJEKYeXu9 NlBDHbXM2Su0klLKKWPWfs8DZ3ywzvv/fxQBQnox7Q== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{322, 321, 325, 675, 666, 667, 665, 669, 668, 598, 671, 672, 670, 674, 673, 599, 677, 678, 676, 680, 679, 600, 654, 763, 639, 664, 621, 662, 620, 663, 597, 324, 323, 322}], Line[CompressedData[" 1:eJwl0llTzQEYBvD/yfggvpKZLiTRiRbN1LGEFi0okki4dU8braKVIlT2SMtp 38uWhMhvxsVvnnfmmXmvnl3hzN0ZoSAI6gg7YvnNoZggmGWOKWaY5iATTDJG lHGSGGGUD3xkmDBDvOcN73hLIq94zSAvecEB+hngKc95xn6e0EcPj+klgYc8 opNuuthHOx3cp40HxHOPVppooZm9NNDIHeq5Sxw11HKLKm5TTRFbFJLGHurI oJJrnCXYEQRn5BUqiLBNJodJ5g/nOMICi8xzlHRSWGKZ69yghJDfxfIqqfzl GOVcIEZ/Xq5ynBWyWKOUz5zgEyf5wkW+cYqvZLNOGRvk8J1cfnCJn+SxyWl+ kc9OovY0wSRTTDPDLHPMs8AiSyyzwiprjDNIB7Xc5DIFREL/d/sPlGB65Q== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0DdOQ0EYRtEfPZtkmwXQsQPWgkRFAWIBuCWYnJPJJpkcjEn7ggaByTQc RHF0Z77ppq0339FXFxFdpJKIhDwP9KQisnSTo/3vno549Nbp/KQDOkg/BYZ4 to/oKMOMM8aLfVKnmGCGaWr2OZ1nlkUWeLUva5ElVlnhzb6uG6yxxSbv9m3d ocQeu3zYy3rAPkcc8mk/0VOOOeeML/ulVrigyhXf9hu95Zp77vixt9JCjiwZ mmmikQbqSSf///wL1YMypA== "]], Line[CompressedData[" 1:eJwl0+VTVUEYB+CDFwwYFbsDsXNsRUUJEVFRr50zYmJcbP8suxO7u7sVuxPR Z8cPz/x237Nz5uy7ezJKyuKJpCiKKiiNRVEW2eRSQBHFxJlCglrJUdSLnvyi kt/UZHLIFGuoQRqpjFLvQXqoy0nkUs88TxbQnbrm1WWclDDmp3E3vtOVH+Tw jS58oTNfGcFnOvGRjnxiOB/owDva855snpDJI9rxmGFMIINptGUWQxhPMdW4 x33u8pAHxHjGc57ykhck84rXVPCWN2GfTAzP7XWoPEMbTtOawdTxrErv5xrP YTbHOcYf9TQ5khbUtrZSbVz4RuP98gB72MdektS3yx1sYRtbidTHyir+hnfT jzEUhR56b6rMZyYzwrcxnd6MpjD02Lr1cgNrWMfasGf1VXI1CVZSFvqgXiqX soglLA69Up8vFzAv3A9Kwj1iIX1YHu4Ry6jPCvqyiQZspCGb6c8uGrGTxuxm AIdowkGaUs5AjtCMwzTnKIM4SUtO0IpTZIXz18Opocfc5g43uMXN0GOuco1L XOFy6Le9XpAXOct5znE9nFHs///5D4zeciE= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VvFlEUBuAp0BZf4FYDChQtTkJw6A9oghMWJJBgLbAgQHApbsXd3d3d 3d3dpbjD84XFk3fmzL3J3DNn4tqlJqeEBUGQQd7wIMhDOgUigmAg9RhAfQbR lIqRQdBMdqIjhRlGGkMZwXCKMIrRjGQsYyjKeCYwjnQmUozOdKEFvWhEb/rQ njpE05UUWob2eZ9ookh1HyNPydOc5CxniFU/Ly9wjktcJE69myxLGdeNZQfq Uo7LXKEv/ehPeRKsbSWbcJUkrtGaSp61kT3oTgVucJPr3OZWqJfc5R53eMD9 0H4e8ZiHPOUJiTznBc94xUsq84a3vOY976jCBz6SwWc+UZWvfOMLP/hONX7x m5/85Q/VCXOmTARkITM11CNkJOFkIys11XPInGQnN7moFZob89WWZJKoTSLx pJFgzXFOcIRjHA19Gw5xmP0c5ACl2cs+drGH3ZRiBzvZyna2Ec9mtrCBTWyk JOtYz2rWsoYSrGQVy1jBcoqzhKUsZDGLQvPEfBYwh3nMJZZZzGY6M5lBDFOZ xiSmMJkoelIodEa9ay4bMpgGDKEg+fUsX/j///cfWRKBBg== "]], Line[{1596, 1390, 1394, 1398, 1399, 1400, 1401, 1534, 1620, 1819, 1619, 1817, 1618, 1818, 1636, 1816, 1617, 1814, 1616, 1815, 1635, 1810, 1613, 1808, 1612, 1809, 1634, 1655, 1610, 1807, 1609, 1659, 1633, 1651, 1608, 1630, 1607, 1836, 1835, 1593, 1834, 1629, 1639, 1632, 1840, 1631, 1652, 1594, 1837, 1611, 1640, 1829, 1830, 1826, 1828, 1827, 1653, 1595, 1812, 1813, 1811, 1614, 1615, 1596}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.575 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(0.575 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHd0Ttn38IPovZcQMlqQKGG0wdUZI7rovYXRBaP33iPCYIjeQ/T+EAQh QSJFEmlPmkgvIlHy+q71fPb9rmv9VsY7Zb2/9frrWZ91zj7P3veesvc+51yz 0dP6jMttZGTUKb+R0X9+ly74XN90VaBu1L0VumGtzikdb0/1OdffW7h47tsZ q7u7CQ80nV/K5fIxYeQHd3kdeKedq8jDyMPIw8gbn3nv12fcU5GHkYeRh5Ef ULDQpJkdvUUeRh5GHkbe4mZ5259s/EUeRh5GHkY+17Sa441tX4s8jDyMPIz8 260Vz0e1ChN5GHkYedgtMtfroeEXlf6TqjV68kCvDJ3iZFbwubtwbOqI2Bk7 fYSpr+tQ+9zZHlFSH6Y+TP06Veo3cPCLkfow5dvfNXH+beRb4U/PfrIc9iZe Cd/bdPmEKX664DkHijYYs0vprrPunbbAUxj74SPrhrZq3PKmcJMz644VKGav OH3amzxwWbhS7VyJR3ucXIUpL+R3aHrrQpFK97K7Wt9Y8kLK13rV3ml+9tVX TH3k7c6dTDTbHi0cvM5lar7KsdIe5Twfbf2uY67Gxx6OE/2Q53nBlFMf+fOt dJOfWSbK+8d+3j/M+4d53trnoe0PlKO/9nlQH3neP8z75nnAlPP+sQ+mnP6w x/jjdscN3orn+MnFh/wYo9ze7G/X56qb0rztrM3K7Vhl4ZZJiwaN2KSrYBa3 vE7/o0rWL7aeumhPZaV3Yg+PeW+kvHOXwBdVQ8KU0r0j8oWMO6EMXP2pu+OG BKWWS2KHELfXYp/f3Q3xeW4EKlkXhpe0r65XGm3c7d9+3iudhfPJ/hbTpyvb z3jV2zjKRzjds9ASn59fCDuHrjrceqy7sMwXBp5R/V23501chW2fPg1/UOii MP25UJ39NxJHXJf3B2NP0znbbtXqcUk4JPD0taszdCLfICv21bq+D0Uepv79 ahGDj7jfF97tnTxwatBjkY9rkOftphvPRR6m/tTV2TbNEjyFD+5dXdfIyEvk XcNLvLHx8BF5mPpF5mw6EbH2pfDcng7mj0v6ibzjDtPoqiEBIg9TP8x8z7Ez u18Jd899sJZ99SCRn9zVIjImKUTkYepfDjx+ZM7pYOGtAQPsz+wOlfmH+jDz J/2B/kR/gJmvkIeRp79Qn/4C019g7EGe/kM5/Qem/56rFt7L2DZCxgPzCeMn 4fQ7D5fccWI/6zPMeguzfsKshzDrG8x6BWvXH+azPIe2NXUveUs5WHF+0Rpd 4tX2DOOB+YP5l/kIbqG/19b6kJ8ydtO4rXNOR8p86LZGF7eke2Qb5kOY/gBT f+rYLdHtxofL/AlTH0Z/mPkSRj+Y+QUut79qldf1Xsv82f7E5UZvB3jL/Ni+ WOVlmXbuX62P81t0WHCsa4KS4PYs6/GI10rp00sbhxz5In+3UptP7V8qnXfV 7VlraozyvkO+M2P+cFfGZP5S78DAt8rCu6vv/dbWr03xlf7nEyatFw7o/3bk rEcHhF8GbvNc5nBFuO2c08eH1bsl7NB3rN4r/oGwu9OM522vPRLeF6Sbdr7A c+GWKzqPnzj1hbDdFo8pCyr5CJdo2m+s1VJf4a7tA3/taBEgHBEzavSHbYHC pukxE4u2CRF+7dGsYXjvUOVWzNkP+5btVA4PvVDf5svzpbzLsTZn3QLCld1G 86Kd7vvpKK/bIq1y/XIq317tZTKh7jPhgIxHq5d5eAgzHuHVFca/qLDzlvD9 rD7HrF9fF3aO2fDJPOWu6GM/d4d9sZ73vtJvjGXuC8/ORQi7LO1U/9SYSMXB pb//MvMXUt94XsDBNF+Vn0+NbJQ44JVw26aTPo7KF/BV+x75ClpdbBEtbDK4 +5ktcSo3Cy3ussv1jfCqxn0t7GbHSv/1jV6vlH4RrbjaVH8cWdFX/BejY3nq dw16rlTMjAm0faPKH7hWruGiX+KEE4sMPjXwc5yMjya+s0K39VD7Y+HtVc6O epkgPChqZN3WaxKVmqO7tXUZelj8myYOC4znVYm8jf9CfZmvDCzzlYFlvjKw zFcGlvnKwDJfGZj5Cma8wvg7Ee2qpV857i/+D/7R7appl4wfREp9rT+0ekD5 +BuH1efHeIfxf0T/uLjDIWEnlQib913mrrrw1fs+e2fxrGGT9UrEcZNe1xb7 KYv7vii1IzJK8WwVFJ2cx0+ZmX9mUrsfopUKtxr6HLC4ohwafdv2Tjn1+W9r eWNaP8cwxcFoQkzkx8PqeDA7UNrhvLPSbmjNDZXuJCixtpNKLfdwEf8Jefwn 5m/k8ee0+rJeMT+6OUzZkz1Wr9Qq+UPFhtVCxB87OenMpVHGgTLfFxnrrBu+ PkCZ51Z0V9UekUqFu9YpeW/ek/Wk7fD1pe1b3FO6/HLDePdN1V92LbR+xMpD ibKeM//3KHIzdqL+la7hww1ddf2d2pQpMs/NpLjKcyxdKo7LeCl8zjKt9YUn PsKs77RXqqfFto8XXki5f483k51DngvPDG2/NHHLY+HY0EePNjR/Isx8A7P+ 0/7p6i2mmRa8J+VNq1+otXzkXeGEJ5131xl9Xjj8aZ96oy9cEmY8iT9peB+7 Smw7/ST/BbV/O9lEFgy6I+NP/EdDeXr8GK+5x+4JT8w3M2xPtrvUF3/RUL6/ 7xLPgk88hAtddktw3OYl9cU/NJQfHmodaZ2hjtdg25dxI76s89QXf9BQPr/4 EH25gq+EL5qEx5pfCpL64v8Zynu42oaFVAoW7hQ9N+03ver/sV4/Kn/zcYSl Ov9/NHNpGXvaW5j3T/2Ngy2mz/3spa4fj9u7Zma5CfM+qb+vZQvLMvseSHnl VptaLZx+Upj4iPrH7QrPbK9clvEUe8RkgKOZu7C8X8N4wb4PpV0TmldV15uK u1eltEtX41/a92xSM27B4ifSntXWKquat/URZn6j/sEBB3ueSlDLp1qfCT4y 7bXwZcsrIe/XBymnA46O2Vc7Qmk/Kz6o9cdApeOIy5bNFkaIvqwv6Dcu/tGU KsejhFfM2jij1uIYdT0w+LOUP3N7FperkTqfxnffnlQo/1upz/xAeQsn31+j rqnz7YBau6clbolXzq/fMKJBE0+lQryZ8cyDsUpw3k4nC455Lv4z/nTxwIe3 6i6OVSrvWb22WK7HSpfpwyzMj79VfOfN7WiZ5qZkVpnQ+13hOPl/1jP+79C8 17Hu7ROU8Z1/nDzyzB+KdbXIWeMmJCo9TtZ9+1PIbaXuaP9RryfFK7anHeot an5N4mH85QZ3SjR32B4v/WO/Y0PfBf5xys1HfQIsW9wRf9rpZ4/QKn12yPi/ sqFli7mVlgq/t5ww+I6Dl5JhMajGMMs3StTDruELonyUnd3Keu45Fa10tor5 /WyhV4qpl6fRXZMoJbiM1YkKpsGK1j/q5P2mYWzvqzr8aRh/GsafhpF/VPVp eIV6W0UeRh5GHmb9YH1udEXXo9aHcOFnO9Z8CCoVLTzFrufx7XXfChfuW75/ t/aJwj67EpcanUkWrrG2r1/g1VThWXOvWF65ny7sOt5kpf3zDOGSNksCpgRl Co/spG/4c8wH4bNNuqypkfZJOLv6qdfZ2dnC2IM/gT0w9sDYA2MPjD0w9sDY A2MPjD0w9sDYA2OPNj+I/4N9MPbB2AdjH4x9MPbB2AdjH4x9MPbB2AdjH4x9 2vwm/hv2wtgLYy+MvTD2wtgLYy+MvTD2wtgLYy+MvTD2wtgLYy/zEfbC2Atj L4y9MPbC2AtjL4y9MPbC2AtjL4y9MPbC2AsTf1/sZ+ZbrUWS2A9jP4z9MPbD 2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPZPvHu47PZFyWI/jP0w9sPYD2M/ jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYb1rfvH9e1xSxH8Z+GPth7IexH8Z+ GPth7IexH8Z+GPth7IexH8Z+GPth7Pfefcphbr40sR/Gfhj7YeyHsR/Gfhj7 YeyHsR/Gfhj7YeyHsR/Gfhj7Yexfm7/Byzfd0sV+GPth7IexH8Z+GPth7Iex H8Z+GPth7IexH8Z+GPth7Iexv43d+dJDt7wT+2Hsh7Efxn4Y+2Hsh7Efxn4Y +2Hsh7Efxn4Y+2Hsh7EfDn845H23xFDJRyw9Wv1IrvyRwqar3va+avpG+OaY C5+nNo0Xtjxwy6fUsSThhVvNLBLOpwg/XbJq+ePbacKVpr3xP+z+TnjScOsG S33fC1+1dlk1JDxLuEDrskFNEz4KD7CYZ1Uq67Mw9mj374i3iP+0+43EK7x/ yccZ8inFCuvTBwUmCd+fO/7Hp1VThH+LeGPXZmyqcP3eUy6eO54mrL+VlPpD fLqwtr+gL/0Fpr/A9BeY/gLTX2D6C0x/gekvMP0Fpr9onyf+Ls8P/wH7WE9h 1heY+RZm/oEZj+xfFk1durHA80TZ/6iUFfMsJilK4kPyc/Rf8gGMT5j9IvZP 6A/Ey4x3mP0j4kvyGc0C9048N/S0xGcw+cDp1YKszNpeEN48e9kU0xYHdeRb qA8T35FfoRymnP+X+gb98VeJ17X7xdTn+RB/zXbqu/u6V4js/8La9814Yf6D 2a9m/xl57X4c+2+0RzzB+2S/G6Y92sce7IXX6zYdap4eJvpjH0w+Qhuv/9n9 Mu3+FeOVfBDjFWa8woxXmPEKM15hxivMeIUZrzDjFWa8wsyH8J/df+vYrmqT 7X9h/83reqCZW+Y5Hfy07fItLx8c1eV1vN7J+V6o5FN0mR9PRlcKEz5ktzxl bGCE8DD/+wP2WUUKt+vbbb9Jaozwh8sbjft3eyMc0qhUd69C8cK/7+jnUni0 ym0KTFnYcVuScOWWxRqE3VR5c8Zzr6p/pAhPqjNz1c1HKgdHNanz4cu8Dl+v 4Bu486XKFr67lvhefCdcoEBLq1mhKi988NHH5c574YEZf6ztEaey+8WRFpue ZgkfjcoVUue9ypUO319u6/9R+J3PuB/zGn8Stt1u/qpDxGfhzg8ebwgtnq3m T79xv0u7n6Xdr+L9tmpaqvwh5yTh8JALL0sUSBZOOrjDpmyqyo7dm5VZ0T1F +Gjxio5rmqUKd792vW/6VpUHL9zrk7kgTdioVpvtE3xULvGmatnJd9KFL9vf 9XpV8Z0w6y2szaexH3P49UaHGf+1H5PTfpd2f2tEsFJxRQs1f8n6aLuvyJYJ /mp+VLs+sl8j+wuG9VL2gw3rJcx6CbNeavOr2nzot+6X/eX9KIO9sj4a9C22 OqjDwtWXhPf1y7Xz+cA9uv/f96tYv5iv+68y3bvuWfif3l/AX0e+6JuRue7V 0ot86piorm2jo4Tx56l/6qG587w20VK+rb1z+rvPscL4+9T/+WjS4IY2b6W8 gdmcg2fKJQoTD1A/euXV/NFT1PKo7H21rXYmq/OjIV6g/v1GbQM8XdXypom5 Fxc9lCpMPEH9UmaHG570VMtXBo9/GeOcrs6fhniD+qNLFFizKkAtf+nhXvf+ 9Qx1/jfEI9Q/l/3r65FRavkPt+ov2++WKUy8Qn2jxGeNW6Wo5TNP2/vN9/qg rg+GeIb6PYIbry//WS2/s+edpU2wOr8T78h+msfO0JSC6nxfYsPglY1i1fn+ n9rfIR5i/K6uk3LRb5zKjnHeTYN6JUt94iVZLxxnp/18Up3fug8aMKfHjhSp Tzwl60fuzMY3E1R5I7eAS3depUp94i1ZT6YtnFW/scqXrYanW5mmS33iMcqH BmWfd5qr8qT9YU2OjH4n/jPjs4LlyXqfLgQrhZ4GbXRzDxd/l+et3V/SnifI ab9Jux+GPqFLemVMLKLmV/Fn8T9h/E8Y/xPG/4TxP2H8Txj/E8b/hPE/YfxP GP8TRn/WX/SH0R9Gfxj9YfSH0R9Gfxj9YfSH0R9Gfxj/mPM4+Ecw/hWMfwFj P0x7nOehPZj2YNqDaQ+mPc4D0R5MezDtwbQH0x7niWgPpj2Y9mDag2mP80i0 B9MeTHsw8pxfQh5GHkYeRp7zTsjDyMPIw6z/xIPEkzDxJEw8CSOPP4k8jDyM PIw88RvyMPIw8jDyxHvIw8jDyMPI498iDyMPIw8jj/+LPIw8jDyMPP4x8jDy MPXxn6kP429p71PAcl9BU855IsknGsolX2Jg+o9WnvNFMOeHJB4wnA+COf+D vpQzvmDKqY+8nO82lGvPexPv4C9L/tfw/GD8XZj3oy3HP6A91n/aY31HH9YH xqf2eWnnW8olH6Wpz3wIM5/BzEcw8wv6wJQzf1AOU669n8TzoD/C5Ks4/4// wPlv8p2cF8T/0ObntOXa9mkP/agv9nFfwxAvEJ/Rn2DaI38Jc/8AJt+J/rRP fhYmnwrjf8Lk+2DygTD5W63+rM/EM+gPa/OfjF/shYlvkIeRJ56hHKac+EXi XQNTTrxCOUw58QnlMOXEI5TDlBN/UA5TTrxBOUw58QXlsPb5MX/x/GDKmc8o h+kv3GdhfmU+ghlP9B/6L/1He1+E/ITcH+I8oGF8kI+Gtfl/ub9iYP6f/sn/ 0T9h5nvkYeTpv9r7Klr9yb+hv5wPNOjLfgdMvlzuAxriObn/xnlBQ33t/TDy 58iTv0Fezg8a6mvvz2j3Q8gHIi/5QUN9OT9tYPZzWH9YH2A5T2C4f/RLwYKR ZqVTZT3leTMfcp8JlvPshv+T8+wGxp+C8Y9gOZ9uYK2/g77cb0ru0+VBzPQU eR74K9xXCmuQe3zr9ep6qF0f8Ve4H+W4d9WRs56qP0N97kO1irq3ao5Fsow3 1kfGF/cDmR9ZX/2dkzNL54qQ+Zr63K+Daa/P21FrQl+o6/Oysk7pwyzDv4qH yH+xPsOsz7DkWw3M/AATD8LEgzDxIEw8CBMPwsSDMPEgTDwIEw/CxIMw8SD8 2bzXb2eTw8VfsPeeZr0rIkzR3nf+t+5b0Z65160jQ+ao/nRcsUdHip9Q/eV5 v57qYnRf9ceOlvFtlvAkVWk0eHWlQanhSrGZqUu3dfdXnvTds9u8Rrgy/uy9 qpeHBSl6702fvceGKS29PTtdsFP3d/633rei/71dvmjayir+yhmTudk3eusV 7fn8/+k+1s7AqslTh4cpk2pkxraeEJLj/Sz3gA/re2SEKGHxKZtnxYZ9v6/1 jfe1crp/ldN9K6+iWSUze1+W+bR9lbBddsYeMp/bWiycd9/dT2c748Gtx/1T lbY+TxP/aO3/VbwS00xX3+fpZfGHyA/+2/e1TrhtKeU5PVT5s/e3tPezcrqP dbXnkppb9fdkfWJ9W33iRO+CpZOVWs+avF468JqueZlCNWIykqR/duga6Ght maIMrGa1drttiDwf2w5lf1xmGqpM6VOz+ORWXrdnH1t09eIavfK0QUjzTSne iuXBfvqdo/RK8J7MazN6+OR4/2uF1UabLuVDlWlWk4qdcw376rx+qENy8acr D+gObyi9ymvAf/YhPmwaXuuBLiX3+qyBDsnKR4t6Lx718NblfrCpbPl7an75 f7ofllQ43w3Pi+ESb44bGnjXuLJecXLs6GHc+GyO98PGpU5b47wvXPEzDbu+ reU2ZWj3gzfK3AmT55HT/bGRheJn794YJv75vW6N1xzzDVMKm3uUy2t7SNcz 39bVWV/WnwPts3V1dh3QhSbc+BQ/N1zyAWabO2y42TVccb1u1qLqzUCljN+v E5ybhYk/Na2f38f9Nb7Ep7Mt+y2sGCrxI+ud9n5i3j5JO8tfOS3v16yX/+yj ZY5+NR64z4d/T3vrDxZOsJx4Q61/qPyS8ddvC2dtNvndaeND4eWbd/Qyjnig /N/e78K/5/9v/1Lz5IzSntJe0+6nUorefCZ8dWWVo7fSvYUXrwxYNs1MZfx9 2qs85mD9Wi38pNxmTGQfu6L+wmntzmTXrRkkfL3dpMCgXoHC+Gu09zghdLrR U72UR0/NvaJ20wjhZsPHv8rdPkq4YnDHh4F+kcLEv7Q3weN4lSv6aClfZe3e INg6RtinVf3V1wbFCl+5WcTOPvGN8P3EiVYN5uglXp646LfGlevplaWrCkzJ ruOiLLMtnydjvF7Z3KmI062fryonEkdkPHD6Mj68Co2cceyOkljkdt15a/VK Levz1uaVb0m8jX55T093n/LhrfxfdQv7IIdxccKzTN5ZTZ+RINx/z8tqP+dX mXic9vp02vuTfcEkKR+Z98z9I21ULvApeNr2jslqf2vlGbWkuMrE77Tn1MTI fkrZFCk/l1bCZFk3lQfGtXeb2itVuKuFVeshJioT79NeUvWxMV3N0qTcKMJu xlAblY8HHq3cbWi68C4Tx+1Na6tMfoD22pR+1KaG5Tsp7+Ht/7DZaJXfuRea VdM2QziqUNabko1VJp9Ae5tzW+zIbv5eyve5tjItPVXlztenPjayy1THT9aw tvFtVCb/QHtByVveBnTMkvI4Fye7hHkqO5zwqhq05IPwyjd3HR91U5l8Be1Z hKW2u9zro5S3OmD85PEqlSN2NZ1zZcMn4Zf+NeMP2ahMfoP2Fj4fsGvb0M9S vn6rrdmRbSpbrd391H5ntnCNR+s6LBmt8rfeHw2/VCHoxnO95E/Ouk97MVen V7asszc1Mb+vzLib2qXGQ72y13hRpMXgB8rEMyX33ff7zz2t+aMftHdXZiwY f+62r15pWiF20uZZj7/5Pmrn4aWu2t3XS36m5NIas2O89MqQGSYlfBd4Kpa9 rS/1faZX5jd2ujV34jMlLCLT99oJvZK75Oz7jSd7KdPzLwtZd+WLn+GY7Bhz +MU/fr91y9ZAm8ud9Eq/yZEJ5+v4Kr3tX41plxiufCzdskLGWH/l8Z6JYybY hyufx7+/PHJYwDffh3VZ2qhOxIkwxf5sjW61ewZ/vx/7N9+P/X/t/mtO91X1 v8dZZ0WP0TUIGdytVb4kdb8kfcK8fN1SlY6Zy3ybHfbWvV/e4pOlZ4ry6Gxt 72brfXRd7YZ5+BRJVRqvDe5r/oNe8imnTniNGHlOL/sTb0OP/rDiy3gmHkh2 a7i99C697E/ksR1dJMQhVNlV8l6LKGM1f9/w/fLZPWeFKpHlA8aO9AuV/NfE qf5typ53lPwT/ueMQnnGFqmZpBQp7LIwrfwL3bMh818f+C1FafvHizG/d1b3 w8hn2ftUT2iyJEX68/CrCZ0atEhRIlbYrq0Z/FzyXS/K5GuW+CpU6TXbKr5c zBVd8w6RI2sZuej6/PH+h1HHk5Q+e5pM62n3WPdo/vtn7cOSJb+UNmZ7o9CS +yX/xPxZ4qcuoVNrqP5ww75V9M76OzrX0C3ltnZOVjo2yF38w91wZfHkqfmb Pt8r+T7kL/abXqL2dTW+IL5PTeu02+n0ccUmM8+U2wnhkh8j30J+i3wLTL4F Jt+i3a8iH4Y8jLz2vKH2/AP9g3wXTL4LJt8Fk++CyXfB5Ltg8l0w+S6YfBdM vgtGX/ov+sLoC6MvjL4w+sLoC6MvjL4w+sLoC6Mv4wt9YfSF0RdGXxh9YfSF 0RdGXxh9YfSF0Zfxj74w+sLoC6MvjL4w+sLoC6MvjL4w+mrPd5CvQH8Y/WH0 h9EfRn8Y/WH0h9EfRn8Y/WH0h9Gf/Ar6w+gPoz+M/jD6w+gPoz+M/jD6w+gP oz8s+UtD/gf9YfSH0R9Gfxj9YfSH0R9Gfxj9YfSH0V/7vU7t+Q3WI8ph8p2c fyafDSMPIw8jz3lp5GHkYeRh5DlPjjyMPIw8TD5F7v8Y1nOY+J/8CvG7fA/U UK7dr6ac+Fe+H2WIX2HiT5j4ESb+g4nfYOIvmPgJ5v1q9SW+gYk3YOIF/GHy sTxPGH9E8rEGfwzmfWjv47Few9r9bO16rNVfuz5TzniCGU8w4wlmPMGMJ5jx BDOeYMaTVj/5XrCB5fu/Bma+xl7t+CMfzvNnPPK8GX/sZ7L/yH4l/iD7i3zv Ev9Oe14FefYz2e/E/2S/l/kNe2kf/w395XyxoX30gWmf50G8Sfsw5cSLlMPY g79NPMb4hbX38+Q+n4EpJ36iHKYceznvYr6vf6/EIlHCczZdO+peIUbYbWGV T0dqxAojz/4uzPdTy0xe1ndZwzipP3ZI5ImhrRKEBx2pYVS5RpJwrj9sThWs myx83GGtTUaDFOFeG6/nivwxVfj9irjTXj+lCTstMB14p126cOdZvfI4d3kn nDBpufMe6wxhx9EXB63r+164zeAo47mDMoUjelc4N3ZElvDGn7sN6TPug3r+ qd3CfG1//Sgc1NzZxXLGJ+EVDUOHmsz9LFzPvFSBgouyv3p+fD8W5vuxMN+H hfk+LP0Jf4Nyzn/BzH/0L77XijzjlfqMJ/oDzHpBf4WRp79Qn/4Cs54gDyNP f6E+/QVm/UEeRp7+RH36k8wPhvVK8jUGRp7+Rn36G8z6hjyMPP2R+vRHmPUQ eRh5+iv16a8w6yfyMPL0Z+rTn2HWW+Rh5Onv1Ke/w6zPyMPIMx6oz3iAWc+R h5FnvFCf8aKd35mPWU9Yj5mv5X6HoT7zPXxU52485FKqfG+Yctrjvgftyf0P g7zRnI01HAaoPMSiR0ePzDSR5/4H8nIfhO8lhxcfm2+vyiV+f7FCaaPeB8Gf YzziH8CsxzDrMaz9njDrLesf6y3rr3Y9k/uABpb7gAbWfp+D9YV8ifZ+OueT 8Kd4njDtoz/n95ivWK8u30vzaDczTJkf47rbxPQ3He+P98l8RvxCe8x36Md5 U5j2iz11/aHf5FBpn/UZf4Dnhf74gzD60D+YH5l/8f9g5lfmaxj/hv/j+fD+ tO3j78K8f+Zj2tPeV/9+/uqvnb/6335f/58+z5XTfX3tea+czktpz0N9v9// 797v/6v38bXnoXK6n5/Team/+/4+8yPzn/Z8Sk7nsyaNDOh35r/OS8n3QrKH 1/9pVqiivX+tPS+mvf+a0/mov3qfP6fzVTmdv/mr56+098+193tzOk/1Z89L cf83p/NR2vvD//p5qG/8nsHffd7p+/ml7+eXvp9f+n5+6Z86v/R3n0f6u88X fev5H+15nu/fR/n+fZT//j4K67V8z/Ebvz/yreeB/unvlfzV80b/9vkg7fl8 7fdktOeH5Ptdp4ZcX5k+S/et54m056m09wf+6fNG/wdl3f0+ "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlldw1VUQxvcgGEhMD0lISHJjAoQ0kJBQQjE2VCyIBSSIMSCgoanYC4qA wJvKOD7Ye3fsXRnrq733XhjLWGYso347+8twH745+9+zZ+/ut3v23Pr+tfPX DDGzYclsD61HCdOFccKtwnDpl2s9WugWmoTjhBlCs7CnIBNzHzms7iePPdfl un++Fwu97ldYKCwQhgoFwghsK4QSoVToE04U9kKXj20pa6GwTFgqFAnlQjG2 Z+CrWlgprBDKOJNLjPnY+plVwoBQKdQLNUKt0Chk0O2D3CBsE7YKdUK7sC/y ZKFD2Bsum+BlEufGCFOELny38VsZOG6Gw1xiLYCnHPTD2BsBp3l89yLnsFdA fgm7YXBZiN1gzXxvvEXNUxa/JeTQQe4l8FkOlxXYrRVGCSPhvAqbAbivgJsJ 8DMbvmrJu57cZwqt6LairyXOJnLPwFkDcTVi1wWvrt8ibBamks84292Xzq33 2zHCPPLeTi0nWvRRKRwVk4fntR91yhBTO7kcKfSQWw8+XL+/Ra94PAda1N7j myN0CmOFg4UDsvLown6W0AIPhwgHsdfGXg26qfj0/KZn8dSdlesM8m2B3xrQ Sh6t1MPluRZ92Qh/nfgfzK2OWpdT4w7id/uNwikW96uTnP2s3/FFFve9i7hd v0k4TBgtHA4vzslkeOkg9kOJfw5204Tj8TuUvOdn5X1sVo0XwEMO8nDWhchH UD/P7yL8+jnviXnw6jmtJK8p1KOLvOeSu8+0JRYzqk/ot5hF/u33ze9aIXIR ax/yyRbzy+UNwgnEdrFwEj78u5c83G4p/jwmv4el7C/GfgUxV2K7DNsK9lx/ Cb9dRHy9nC3lTBnnliN7r22mdu77VPz4eimy98Y6i1lwjsX9H826Cnk1ciXn ViP7udM4ezrfVdiu4ew6fqMK/+dazJfz+HYbv2d+9/werbeYR9Ws6zl7FnI1 65noB/AzOLP8TDlxnU1s5cQwkrgHsPX7cb7F/fee9X7yXlpEXb2GS6ir89xP DYrgeKPtvjvO81jy3kRertuC3u+hz8fBO3uBRW/6vPE5lSGObVm2Lvss9/t3 IfW82eLd72d/OzbXC/8R+7XCu+R0ozAkRR71+HV779nF5Hi7kJeiL+4UClLk cZ9QmoLrezzvFLw+4JymqOUXwicWc6FBuh0Wd7Ra8iMW82+25Ocs5sQEyS+S e6vk5+GvWPK9Fn30jfA1fhqlH5OiTi+7jxTzZIbWmcJlFus1FvJVwqwUd/0J zznFrBiv9RmLXnvaa5KC+xeIw2Po0rrLwv9E309RpyudsxTv4bP4cj8fCjvJ y/09RT2/Fb6jns3Sv2nR322S37aYsx8LX8HbZ8KnFrOyJ0X+nvvrwgfUK5Mi Do/hPeFyi7dhtPSvWrwxVZKvsHgbxkl+jd7aSQ08zi+Fuyzelk7p3rGY087T kxZc7YJr56Fb+ikp+th5fcuC24+Eqy16u1b6xy3e1++FHyx69W7hc37L6/YS Pl+Ba5crtT5s8abtIH/P3edon8W9y5HuFovZ576np/A/SWtHiruRq/U2i9n/ p/CXxbvyo/CTxdvwj/C3xX/hf4XrLN4Pr9Ub1KtMfu63mDePWvSx9/Cvwm8W 71aS7gaLO/SH8LvFf+3H4MJ5+EX42eK/udekLkVdvBeaUvSDc9+egn+v4fvU 0etWk6J2U1Nw7Tx7HaZRC6//qBQ9UKH1QYuZmi/5DosZPVTyTXDpfdeSovce gnfn/H/vRejq "]], Polygon[CompressedData[" 1:eJwt1HdszVEUwPF7q/be8UpQ4zVWKaLDeHZtakQFqUYFoUbsTRuSmv/Ye++9 d6zYJERixSYisff2Pc7545Nz7/v9fvfde+65t3zqkKT0MOdcL4RjOwp654YS h2MnitAfQRyFPShOfwxxHPYhQL8RsRqWYiFaoBW24A4aoCpu4RTaoBkuYDla oz6WYIE9S8RZG1PGqod7uI86iLS57CaOdTqnkzZGor2zH6V5pyGxOh7hPOLQ Ds/xzObWFjl4dz2xH/riOh7Ys0xcRR7eGUCchsWYj8bogHeYiXh0wgt7R561 t9xuIw5zmuO5KOY1txGW6x3EkU5zno/+ZmI6BmEOCnvdmwAK0d5FHG1jfsYs JKAzLuIPkjEJJbz+Z4TlbBEeWy4q4wme2nolJw8xT3Jov/3EbNurbijqdU4B m/NlhPNbH+IUXIL3Wl+TcQ356Q8mZuAKctJPI05FbtobiQPRH9m9viPPUmVO 9E8QY9Ac2eivtWcpuG1rlrVKTf21Och/98BpqQOv39bFIZSjHyLWQC3a0V5r bYLTWo6hP9FpTZ+T7+i3tBqSWq7p9V2p6dq0XxFjnX5zBBW87n00KtF+Kd9g vNVORa9tqaF42gmYbmPE0Y71ujfyW4j2Dae1n4W8XnOaYTkr4LVmM61m/u8V v82wPTuKIP0mslaEed0z2aveyOW1xqW25Qz8wDdUQVerre/WTrDaKOn1LpAa +Y2VluvuiOLZMfuvpniN907PRlByzvMztheS05u2xizLURnaB5yeXZnzXWx1 Wptyppc5vUNkbbLGD/jitPaj8BVv0BFdsMLmKHNLtrX9clrLssZVcPxnT6c1 +8nGlLGSsMFpjUptyh2wzumdIXdFmn272nIpY2xyeobl7ErNl6K91+ldKXei 3BUfbWy5M95ajoI250jeP2y1E0JZ+ged1qrcuWucnoEUp2fuuKzDa67ljPwD 2NGj3w== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHm4VlUVxu9eWDbZpJUlpjQ5YFhXTCOeBonELpPggICAgHBBEeQiIlxA EriCgRDJJCijeBkEmQVEBQQZBfEyKYIRimlmpZmZ5npbv/Ns/nifdfb5ztlr vWuvvd79nTqde7e6zUpKSv6bSkpqub3cBz9x/NjxA0cjv3+lY5vjJcchx/l+ /9dumzhq+3WZ2zaO7/r1dxyN/fqGFPebOro4rnVc52jLvWaODo6WjqsdHbGt HJ2wrR03Ya9xtHc0d7RwdOae5v3Icb3jZkd/RzdHd8dtzNuJcRviKscqlh7Y do6eWPm5BXuj41ZsB2wL4u6GX83bGz+Ktw9WMd6OVQ4u8dyUOj5OkV/F289x B7Frvl746UgszeD8kGOMY6zjTviIxyBiVYyVWM0xGKscDMEqxlGOuxwDQU/e v4+5NMdQnhWPu7HiMYJYleORWMVShR3guBcrH/c4KuA4Gn/yMQ1/v+fZctZh EvNWwXMIsdyPVSz/cwxzjHf8gevf4a8HfMbAX+8/4BhO7BN4VnH9EavfJuNT sU/BKk9TsYr9Qazinsh8I+FQib+HiVvxHne86Khx7HCsdaxzzHSMI/5ZJ/GY jVWMc7CKcS5WPB7Byv/iFDUhn+a1NMPtEkc1fMRjPlY8FmDFYyFW67AIO93x GFbzzsOP1uRRrOZ9PIUv8ViDP/lZBh/xWI4VjxVY8ViJFY9VWPlZjZWfZ+Ah P0vxM4v8zYfHOqx4PIkVj/VY8XgKqzzVspjzaccT+Klm7Yv9lyzWRdw2wUc8 nsWKx2aseGzBisdzWPHYipWfbVjlaa9jg2NjirrYiJ+d8BGPXVjxeB4rHqdY xL7bsQceytMLWM27HT9rGRf5q8GPeLyCP/nZDx/xOIAVj4NY8TiELXr/Nvy8 jN0Bj6Xkax9+NO8R/IjHpyxiP+p49SQef8KKxzGs8vRnrPJ0GD+K+xyLfqI9 /Brc5FM1q32off8XOCj2wdzTb29yTzzeworH533O91L09DfIhd7/gt//V4o+ /1eeVSx/I4/i9xl/5h8p9Ew6oP6tPv5Zv//PFL37c379booeLj39jdsrHG8z n+aSZkpLpamn+fX7KbSw0EXpwVf8/ocp9O5sC92VT2mstKwNcbRlXAlv9asv +bMfpNBR8ZSGtSe+drzTnHsaFxrcMWUN1lh625mx4ujCuGXK2vhF9/Vv5ih6 gWpDZwadIxoRa3fypZ6t3j0gZd3tmbLualzO79KYQpOGpqzZRd8fyFyFrpfD QdrXC5+aQ7pVyhmngjVTD+hHTP0Zi3Nv3u/AHIrpVH/v7+Rez0kLhqesf1Up 6+5g5hjK+FyLOh6W8llEcX3Z7/2HHBf6XZmyvo5MWeMLzR90EudR+NZ4NONB rP/olDV7BDwVb6HPstpTxZ4/SKzSMu0f7W/tc/UVxS2dGs87ExgXmjqBuR9g rDmkUdKUEgv9Pln/ZhLTRN5RjJMYF7o7FR7TGKuupzMew9zTU9bvyfjQ3DNS 1vIp+FwGp0L/FqastXNS1tq5xDGPcaGFGp9I0UMPpKzZs1PW2vnEUc07hR5X p6y1i4h9MWPFqr69hNiXMi40e0HKZ4VZPKf+Lz2owt+klHV3Ob6lQavxvYax YlnLuNBUjQs925KyNq9KWc+2pqy761LW2vXkVVqzMWXt3JSydmpcaOdmuG2A Q6Gd8l2c+camfG5Ywfvq9zX4libsSFk7d6asnbvIi/Rld8pnjpXw1HvbU9bj vSlr6h7i2st4M2u9L2W91Ph17u1PWTsPwLmGedfgR7kr/g/0Sfm8otj3+b64 1/E1y/p3jDmkczpLSn+kQ2/BU7pxOGXtlJZq70rnCg2ULTRNVjV7lvs4nX14 qUU/6kusx/G9D26vwe0E47v92WOOHzm+abGfx5HrI8RU6Lp0XhogLZCG6D+l /qep10ovpK3SN+nRe9zT+9JXaeO3/Pmv8o50T/9P9f9R/VF9UvpTaPmb5OJt ctTA3/upo66Fj/dT/j/5AXPsJkadSXQ+OZMzis5a3+C8pXPj1zk7yqc0WH7V +6X90tufWeiBtEDPGs9rLRPncp0FdA5oTj6kx62JS3rZKuVzlTjpTKEzhPRZ ZwedUYo86VxS5O80+CneWsQsHqfA5dMW3I7CWxoj7lq3s6gB4XT06AzWVWuq 2M/g2qhNcdGZQ2cPaXhDC/71eF+6Jk3Qun2b88lHjHU9Dn/q/fV5rzbPns0z 9bn+LfVZF73s6ljP2aiMNSi+Iyi/yq3OUfoGcVWKc4bOWzprfY/7+i5xId8o rqIm9b2jq19fTDzyex7fPnRe0ZnsfL6DXGBx3QRfF3J9EXH2JQd1OVeoDi/i /778fx+/mvs8zoK690Pu1yaGMuLRPnsnRS2XMqdyfjH3dX4RB+2pCsbSduWv Prm9nHfF8TKe7wr3y9hf+v0S7tfjXeVBPC6F17lcn0MOLiA/pfiQ73mO2eSl LnuwAi4N4XatYxK50O8NyM+p1NI75LMBc7yumrKooROOERb1Wsr7H7P279JL 6ljEOowe8SF9Q+/U4f4bbquo73r4LWMvNySGaW4ns04zHdPhvNjRzmKPLnV7 o0X9rXDb0SKO1W5vstiva912sdivqt+bqeGm7HPV70K/d4NFTW9xe4tFv3nU 7fXEs8ltD4t9vM1tLwtujalF1ekv3T5CLT3jtrtFv7nS7TqL3lF8n9KZ9BUf D7LoEeL3MBwfcvyc9a20eE7PDHS8ZNFfBjgOWPSd/o4aiz6hnE0lb7sdLaif nW6ft1jbXY4+rN1Ii/XQWgxnjf/fj1h7rfvT4mTRK2+14C/u/dy+YNGrJjj2 sPZTHLMs9pf83IMv1eZc6nOi4xqL3vC48mfRcx9zNLLo79WOKyxq80lHE4ue u8Yip8rnckdji/6+w9HMQqsUVwWx6axxmP6+SnFZ9PRfOa622GtD3L5q0Qs6 W9SNakb5voucK993knOtz4Os0UbNYaErv3DMsOhLWpM7WJe+juMWvX+w46iF PtzvGGuht+KxEi6dLOpYNVzm9jkL/ehmUVuqq/lwUPzj3S6w6D33OQ5baNF1 FnWsGt5rsd5a64OOURaaWW5R36pt8XgWLkeY60xy/xT5f9kx2kL3lMsnyKdy OZR4WrnVh231tNZub7eow54We0z7SzW1waKuxljsH+2dNhZ7UvtROWtJ3po6 tlucA+aQa+VZZ7cXLTRScR0iNtV+a/yK6374qr6WWNTYVubVnB0s+oh6yGaL vCvnbS36jvqF6nGRRU2qZpdZ1G1zC87i296iN6kvfQIO/SSR "]], Polygon[CompressedData[" 1:eJwt01tMj3Ecx/Hn+SpylnMZ02QtY9m66KoLF4iL1pqzHCo585/IeRSZG6Sc JiY21dQyxpjGtIxpOY7Vsoww1w45x7y/+34vXvv8nuf3+z//5/f9/p6EvEj2 RgmCYBqioBcfkYYVYRAcJ49hPBKwCY8xGYXMHyQPIQ7DUY2LyGBuEvkQa/Gb 6yFkBGWIx1/utZLr8YdxLHkCczERE3Afq/GL+cFkPeowm+ux5BmcRRJmcq+K POfjZLISpzEjtDX7UIFxGIoDYnvUvQ3Dczzzvemej6LU58bgCEr8t7qHLF+j cwFy0YgB+MYzmsmV+Ml4ELkOLWJ71Zq8J+fhE+Op5DsUi41T0IXDmMX8FPIU 9oiNtUYLcRkx+MyaD2Sm9y7VexnxWmtPd+ENRiMai3EVffGFNTVkrVjv9D/z yTsYiO9cXyEX+doYr2W5WC+0pgVoEtvrD9asIR+I9V57uIy8if7o5no+eQl9 vAaryHtivdaaPSWf4F9oZ24DHqEntDOzmfELsbMXip3FQu+Fnsm7Wgt/F93D beT5XrRHt7Dce6XvdANL/d36kXu9Jyl+5vaL1TjV3+kamYOvodXwLXZ7bXvj NXYiymv+CtvRC6OwDR0Y6fd2oNPn9DdFaMMICOaIfSP6bSSiAQu891rDdJz0 uencO09eEPsW9Jt8SW7xWukz27HVn63vsATXxfaue/oP6ux5UQ== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmcz+UaHfM+mkyZwRBhxlohigymNElSkiRXN5G4LkoL2hc1pKR7W2Sp qYgWJUahqZSlUq4SN62funXbt3uzLyFb95x7znzGH+fzvN/v+37f5XnPc57n 92sydHTfUZkZGRkfV8nISLCvRkZGC2AwHtYDHwCHAaOBDRi4G7gN7Y2we4Dx aG+C/R2YgPZm2L3AXWhvgd0H3Ip2d+BM4G5gK97tB/6O9nbYg8ADaO/kRmCv B/oDpwNnAJlAFnAjMADoCtwMDAS6AfcA2/DtAeBwj0/A0UAeUBt4CJgO1ACy gQCq+ozjgBLgLK9zJFDdbc6XY1sNyLXlHNOAqcARwNn+riZQ65A58mxzvI8c z3EfsAP7/QPo4e+OAuoeMkc92zyvmbzvB4Hf8F0V2NeAPwPFwLlAT6AOkO/v 6YPzgPpAAVAKNAAaAbOBhkBjoD1wAnCi39X190uBpz3fcUBToBnQwrY50Np9 Lfx9K+B4YBGwEGgHFLqvLbAAKAPaADOBGcAx7jve8/X3PfMuz7FveAbyh5wi t15CuxzoAHQGOgKdgDXAaqAIeAtY4v4Gh/i4yGfmvsYk8XuXuU2ObzC3yXFy nRwjZ8ld3h05u90cJu/IP659kuflHZHLOx0XjI9N5jnvnHfPsx5r35HX3XzH 64C1QJdUyb/q9gWfszyump/JiWw/l7hdNVXyNcffcA7ycqrfc1yeOVIvVfK1 VqrkK59r2mf03VzfT4tUydG6nreWx/b0nLX9TQPfHcc19HOvJE5xHDlZ4DHk ZCOPIe8a+5tlSVzsDVwAnJ/ExXqeh2OGAX2SeHklMBL4EzAc6JvE1ab2N/0+ 3XvMTZWcrujj3bTyc2s/z/CY5u4jn09wX1s/l7nd2n3tzQn2Ffp5odtt3Ufe dHRfkZ/L3S50H/l7ShKvO3vMe0lc75fE8WKPeTuJ9xcm8YS8IkcuTtLUTKOr +y9J0tksj6NOkz8D3a54193vm9ufjNlLk7SP986c0cN3/pekuOWdUo962tcj gCF+piUPyIFrgaF+/muSZhX4XW/fcVPfezOjj/fCfXXx3vr6zrm3VfYN/fiO /UHfDUrSenL2uSROtwSuAy4CfnX+Yh5jPutmX4TnneF1z7LvsuyDQZ6T64/0 WPp4gP08CrjKe+1h31XEyxD7gWca7vmXA1cATZK0fYTH8ryXeZ7z7Ov69vdg +/+OJP2i7lBLSuyfjdY46tvYJN2j3l2TpIPUwPfdph/G2C9sPwL7qO+FY/7p 76nVNxxy1ptSpc9uSeIO17zda2V7P8ybl/u+C9y+2s+brL/cL9cY673xu3H+ tpf5kW9eDDMvxvv81O5JSTljv3X4Tvvk/iQdpxZzLmpitt+x76C1nt8y10xM 4sQ+c2Oi+bHNuWGrcxL7yJm/Jb1nbqCWlfqOmC/u9ft7/XzQ60zy/DucY5hf yFfGNuOaesU6po7XmGA/5Xr/rG2Yd6Yk5Z7Hku6skc89wXsmd0aZP1P8DWsJ 5qbJ9slkP3Me1hocw1xWw/vI9dylnp/8fdh3Uuq+Au9rmve20/mP56vteXgW aipjqqXPSu06DXgBeDOpflgBPJ4UU6wZZnk8dZ85gz5+wm3mDMY0Y7uNv5vp b2d7HPf8lNuNbZ/0e+adOX5P+4zbrwPzvO48z892a6/HtfL9fUP3zfX55vg9 Y/nlpNqFdcvipDqJZ2Q+KHObdoHbz7vN+d/wM9vUbGp6pp/LvJcF9l07Y6Hn LnS7g/262P18Lnc/9/Ki3/F88z13ufd8sudY5DGr3Mf3rFv4e4F686zPzPOu 9Jk5/tWkmrXY/ljqMb3dzrdd5vf/8Bqcf4m/L3b/co+h1q7w/c7yPbX0OVZ6 XWo/ecV4Yj5gHu3kublGP59jlfvn29dt/B1zKjlJns70/PTHK94bNYp6SF19 NynfnGr7rtfnmmv8vp/bRT7TEs+/2t90dv97Ht/Ffq1qH6/3M9ekFlOfx/k9 f6+N8fvRnm+151nrMSWeZ53Hsy6gjpNL1C3qFzWTmk3tppY2w+/CPSHtqAX7 YShmcmDXhnLDGthfknLg+Wj3Cd1tbdhPQrG0ArZKKHf1hd3h9Qei/VsSr5ei /UdS3jsM7VNDuTAf9ruQ34+G/TLE9QawX4fu/FHYh0I6Pgv2sZCerYQ9PJQr noadHdK/H2G/D93DO7DVQ3VEVdhTQvzaDrs5xIO6sJ+HOFITdn2Idxtg/xvi 5vWw14bu5HvgqZDGzoHdnVQ7pJCP6J8fgTdD+SwrtFfuMzPkL/pqHWxuSNer wa4K1QtHhvb9/xoX9sKQLvxM7oXqiSNg3wrVzj+R86F8yTmyPc/7sDVCevkV bP2QRrwEuy+pZilCOyN0L0tgDyTVHQvQ/j2pDvoC7XohnZoHOzeUAz6FrRPS hm9hG4Z04TPYo0Ka+hFsXkibF8MuDOW8n2CvC3F1OuyD4fwJe3cod14SOj/P 3gR2S9Jv483AD6H4+jdwVyjPfon2uFBO/BrtB0J5+V+MnxDnP0f7ylDd8gXa t4bqh12wvUJ10z7YjqG8+hVjJxQ7OxgjSTXlM2gfE6oXn4c9NlQvfgc8Hsqz L8MeF6oLGRMXhOLiddiWoTrvdNhWoRrpG2BaqH54O3SvvNNvgUdCeXx1iAfk QHe0zwz9NtofimfGMs9xrs/SORRvjLVi2I1J+saY7hqK60awhSFNOw12k7Wl AO32IW0bC3tTqA6bSBuqma6CvTxUz10De3VIY8bD3haqUybzbkMa1CV0f7w7 rrnN614E2z9Ud/bm+6TfEMvQXh6qRbqFeEPOnAwboRpzp3WHvu3HM4X+c2oX Og/PwnOc5LP0gD0nVJtSz34NxWzT0B3zfiv+C2A9OBjvhoTqYP6X9kqoLucd vuZ75B2+4Xv8D2ynUC1EjgwyT36GfS5UnzIOyh0Lv8AuCtVUt4d4SU4yzsoc ay+G5uWc5NqzFXzjfYX0cyTsZ0l19X7HOWP8oGObcT0/tB7XujkUG4wL3u0t vt891jVq2hMhTpPPk0Lxxljba42gPvCeS3zX1BJqPfVkV1IOoP5TO28M6ecA 2ItD//8xPl5wjJBHV5hLN4T8RV+Ra3eabwdCPCAHhtL3of8OmRNmhvLC2bC7 Q7/NqCX3hPSE+eHJUI4YFdIC6gBzS2kov+xl/IXy6DDY4aHfPB1CukBNmBLS F2rLlhCnyWdq2NSQjjEORjsWmGe2hnLNZbAjQv+hTghpFvXq4VD8M/Y3hmKV ccq4ud+xc19Ij6hFM0K6QE34H9JQhyQ= "]], Polygon[CompressedData[" 1:eJwtlXnQjlUYxl/vuVWKKIQWfP2LwoxKDBIhSyFZsuSzt5BQlpFKm4Sxl20Q hoqRMAyVZTSSyprKUhN/JIxllM+a3+V6/vi957qf57zPc577XPd9CgoHtRuY z+Vy70HABH4+gitcHJdyuRroA7AM/Q0cgCeIX2L8jzn7GXsTj2B8Dmqi/4Q1 6M1QH32CsQBegBf1XxiFvsD/m6CLwwDd0xzp8LM15384A32hJTzMvUfCujz8 AnWI+zE2hQfRh+FL9Cbog+4FTZLXOAg9MPzu0cTfovPQGt0LXkEPDt8rYk6g m8PLxP3hSfQ5xiGaCxOJJ4VzdZX5U9CTw3o8147DTuJZjFVgAXq+Eo2eDO3R exk7wVA4C8egEF6FqtwvgGfR66Eaul44lxuhOvonmIv+Gj5GfwITlLu8c3cU ns9yOJd787Tm5DX8DXXD31YZZqJnwLW8nzEVPS38Lbq2VF6AqcS3QWf0PsYu 8BqsVO5hOroMfIVeFd4rXbsIy4m7MTaTB2AxcVf5Ck7Bv8Tb5R34HP1Z+Fl6 51VYR9yDsQWMQ38I7yd7Vt5sDA2TPdoC3Si8t9rDy7CGuDtjc+gZ9rC8OxwW En8a3pti8A/sIV6ovYAH0L/DcnlH60fvyWpB7ztPXBmeQW/TnimX2Vp7ah/0 bngc/TrsRZeDxehFsDvsmRtegX3hNejdmrOL+M7wvfnwG7oSrEB/ofyhT0Jd 9FrVB7qCcoheCn+g7wvfW61cQ1fizoyNk73YkXhY5smWYc/L64Ph53BPUC+Y Bx3Q5xkbJT+jb7gmVYsj4WC4JlWLWmNrdJuwt1vBr+GcKpdao/buEuxM3sMj 4Z6iXrIq8/IGeTTz9A707fK8vA9/hWtGtbIOfgh7XN7WnFLE30N7dLvMa1Wg Q7LnjqKPhf/bIGV7G/527fEh9D3htayEW9HfQR/009BNvSvLpTz9I/Ed4VzN gYfQV9SDknvWRXStsNd3qMbUO+Cm5BwUU67D3lGPugW9FXqjn4Iz6NPhtW6V X9EnYAO6DRwP9wz1Cl17NNwz1CvUc1co38m1qJpYQlyUXIuq0bVab1YrqrlO 6kXwWLJH3kG/K1Rb5OcD1WJYqyaHoIfCmORvUu+8n7hjcg89iz4XXrv2QLVR GK5F1Yh6S49wrdzoMfJmuPfomW1Va+HeKQ+q1/cLe089fwz6TRiLvsSaxqLf DmuteRM6hXOlnqtv6xLuZfrG2uE90t6opt9Aj9a1vJ95d9gT8oLOnIrhmlQt qkfcG6451ZrORJ2F+4mXJJ+JZcM1rVpWj9kYrhHVhjx+V7iGVbs6g8uEPSUv qeePUK7CZ9VbWjO6afgslcdHokeF72nNJ5N7lHqTekTpcA2pdnRGlQ/3JPUi rXE7umS4VuTxInSzcK+Th7egbw57sS1sQ5cI14I8Ogc9O3wW6cy5DkouJw8= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVmHu81/Mdx0+dvp9fpZvut1OdTqczuutKKV0pJClFdFOS7ukmVhJpi4rZ FNLGEFYsM81m7rVhtImFlRahJoSUhfZ6Pt6v83D2x+v3+Xw/1/f9/f78CsfP GDq9fF5eXmX95Kt9LsvLWyHMFaoJDYUGwglCPaGuUEWo7+9vhWPCpUJVr2Xu 58JK4WyhklBHqC1U9hl1vLZYaCFU9HwtoabQRCgQqguNTEcNobG/63tfke// ThgnbBf+Lpwr9BN2Cn2Ft90fIjyd8vL+JPxG/X8KbwrnuX1LGCy8KvxNOEf4 q9a+LPzWZ//D52/T2FbhMcbVbhd+x161rwib1X/DezjzNY29Ljxu2UF7c8uD ttByoW0m3CBMs8yWClMtyxuF6dbJTcJMy36ZMMP6uVNYK1yBrHRnVWGS+tcL UyzvHsJA4SzhOmGykLPsTxZOEr4WDgsXWe4lQkvhQSETylk3La3LxrrnErVj hZ8KV1lvPxFmW5+1zV9T31eq81oe4/7lwqwsbPA+IV84XkFQ+7113UR3FQg1 hPv1XUHIsz38NwubvEwYLYwRJriFtue053lhk/rdLYMzhWc19oywEb0LL2dh w/DyjPmBtj+avlu0tq2Q1L9V7fAUtr9a7SrhdvVvFp7PwqduEV4U5glbhZeE ju5vE+ZjW9o3NMX4GrXtUujyHq/v5Har1yPbpy1f9LLBuukv/CsLP3gYexce UP8Rta1TyOug8KkwTBiisXuFy9U/X+1dtpl3s/AffOeQ8LlwoftfCMOFL/3N +BPa93vhIa895DWPaaxNCtoexZ9S0Hqn2unCOuxObY+cbAE5puAf3n8l/EXo JfzSukEvBzS/X/hzFn7xRBa+8YnGDqbQGX6Ez+FLr3gvfv2R5j9OIbsX1b4k PKr+PrUfECPUf0PtjhTnEh92ZBEr+rrfR9ir+fdT2MRbat+E/yx8lpiB327R 2JPCw+o/xVrhkSz8jhbfw5f/kIU/77TMuQv+kSW+jI8/mYWfE6ex3ytZr/Pe TjG3R+17wlNZ+Ds84fPvauwdYYv6u9TuTnHfDvNGjDpdGJRFXDgtC58YIHSz PfXz96me7+85vvEhfKk0rvTweejrDMt8kMd6+uzTvGe7ZQkNH/ssbJI43DuL ePuJzx1umvtaPp/7XGzvA597gdA6izhDPP1GuFa4JgvdLLOdEHOIQcTDzbYV 9IUPEG+IO8UpYhLxkLhIv6nlzl5iF/ZHjMAHkfty6/FZYU4WcWOLdYzusC38 lhhCzsB2sc89lu9Qy7qr5bvT30M8Bh2tLHf4bGM5thXaWcbthQ7WQzt/9/TY KZZ9G+/5SrhbuCuLfLXdurhaWCCMzCIfvmY9IsuFwijrbbv1RIzqZH13M43Q 16WM/Hp7TWehuWTbLEUc6+Mx1hK3sK3zrecu5hu6yTUl5qPY3/DWwt+trJ9m 5o3cWmReC/3dNAU9nS2bIu+HtldNP3kdH8Z3yEHkFmImuYa8l/m8Nuaxpenr 4Dvaeq6F6Su9p53nir22veltZflgbz/Kov5pb132MD+tva6Ddckc8oOfTt7f 1fJab330srx7m6/OlnUpr+d4HB2e63HiLX57ts/rZz1gbwOsG/wRH8VX8Vl8 Dt/DB4d6HXZbNl4O9t1dPNbHuh7iO/ZY5/0tJ/jGrheKv18Liyw7xrDfk3wW PFFTURNVyX6oq+pZ/tSLDawj6pVGln8Df5d4rLF1VM97qMeouajBqKHIr+V9 dmXfR0wnjhOfqW0qeg/1JfGX2D7P+kSvpXVeXeu0tr/xJ/yM+gk/xO9GZBHf iHkDrftu1klr64NvaouavgMeqLlOzCJWla2tavk+eKa2qm4+kVlp/V7Vc408 z1ltLG/u+yyLugGaBpk+aLsf+aAn7lZbJ0V8wI7qprCxe9zHJtcgK/VvzaKG o067OIu4uiSL2Eqc4RziNjVPTddF6KK+6671Huds7LZeijupIWoLi31nPd9b w3UjtSD1yEbXJEusw5wx2bo8VfXIoBSxcI7aq0wPc1Os6xWmG1lTW21wfcXc VNsKmGab2ej72NNKa1ekyDXIfqblz7rp1g2Y4Xnops6mjm2htijFNzV/I9dL D1pGyIe3UZUUNXM1vwWwYWrTlKImZaya6z3egBVS8HQUOlLU0r9ALilsskRt S8edF/Sdpahz0XsT1+Tkk8op3g4FHh9lmgvc522BvWP31OfU9hOz0G0D03+N z8U2FnsOOht6DWOcfaLPHG0dj/G+Gt5bDr5TnI/881PogDuP+968FP1xllme 5Xbc+yfaLq4vo/+l1vN9xG3hx/hKLmLWIsuG+h/5rLIcR1j2vAWQ/2rhNo/j Dz+zTBb6e6RtYZltYa5tDnuj5qD2qGH7utG2Q21BjVHdtnNTGftabhu7El3k oo4fiw2ov1v98chT/b1ZxC5oLzCNq0znenwuhf9diNxSvJea26aIdSOReS7q hovxs1y8nyfgm+p/qP7l+Kb6B7AF9Svm4h1+hfoNc/E+WWAZce9ojZ+g8Xds p5ssi4dSxCDizzbbN3VF71y8Jdb6HGIrNonu8Rl8fpjmv0vxxiDmrLHsu2jv wBQ8Ez/qOrbUNN8dfd7dPhNfp4bE19d5DprrOj4RA/GhdR7nHOIac/dmEb/I uT00PtjxijcbNQcxCl/kPxf8caX3sJ7YdEcpf/iefYT33Hkp6lno53zO5A0E H+R+6hrqG+rd7inen/DVS7wvSnFPOdNQuhYZ57vlm1jHO3izffb1LOpF6omb iZf2hQVqW+XCl2amiK3Q3lVtN6F6inZqij5vIPRMDUGdsCuLWqGR1kxOkYt2 eY66YUkKnaGvvmpXpogT7+v731nUJe95D+uhC1+Ftu65eH+SN5jf7bu+0Peh FHFxXxb1TdlahzrnWArZdfTYPt+Ff3xrW/nI4xeYlr2mgbEPvT5fNFyUQn7/ EfZn/19jcWee1oxI8Zbd7/Fhbvf7/H5a0z8X+WCpcEYu/Oe6FHpdaRvif5LS /2voE+v4z+eo54nfR2zbzH3vtdR+B30v+455nnXEdOLVAylyW77vOOwzsX3e G/jGl5r/yvHxM7WfpngznSwa5zv+HjZN7D3iPvfssRyRYSet7yhUSmGzPc3j AK/r77V7LGfkdMCyKtHaufarYvVb5OK92ETtlBT/bRw0z9Q8hRqfZbkM9Dj6 oS4oykW+Oqr+N47vR9R+7TzJ/x3kZnykvPv4FjGgMEWdTj1Pf777xFNiKTwt tj8SX5t7zTS1t6XIK+TlZl7PWeRnamPyLXmXOoG4VuRcyTf9S3x/M9OAvdyQ wmbqOLfCFzmGtyy1JXlltsdmQ2cu7AZfIt6g9xkavyNFfJwHXbmoRzal+E+K 2PZ4iv+DNphOaBpjuxpr21mrsdNzUc+Rt2b5fuxxgteV/sdX+p8f7XjzutDn XJviv61Jli3yampQz/CeINeRX8l3dXTnxBS+i8zJhcgWOyNHk5vra82kFP5a U/3LHG9e8Fnz7A8LbLfEUfgmZt7uc9Ej8Xu11xU6LzCedOaoFP8lc+fVPm+N 74c3ahlyGTkNPorNC7qak/3wFmC8wG1L20mRbQN76KC7TslFXY7eyYWjrE/q GnJEJc1fmuK/c3Inbx/q5SoaH5Pi/8Lq6o9LEWup0ajZFpu2Et9LfuD9SY74 H8cJmfg= "]], Polygon[CompressedData[" 1:eJwtlnnUTlUUxl8fZx9FVJrQpFkTRWmSQiOlTJVmFZK5UlY0kqgoiWqxpCyp UBTKGIpSUkQhFCEJkQwh/Z71fH/81nn2ue+977377v3sW6Vlx8YdigqFwkgo BX2iUHgK+qdCYQCci/4KxqGfgX7ourlQqMhaCTbCFviMYw/CJHR1eBL9HvyK XgtT0Z2hOufWhAPYe5n4Y9ZPwr9tA73Qb8BQdGb9GX6BycSdYCr6HHgaPRq+ RteAnujx8DD6FK6/B70XGhI/BI+hW8Cc8DPpWT6Equjz+H051iLioawXE1dg fYL4O9aa0Ev3CidxrAFxd/Ru+BG9XM+A7ggL0UtgIroDzEd/Hz63PRzM+S2J Vys3cAhxPeIbk/fKEF9O3Ai9DCoStyHejN4ERxC3Iv4DvQFKE19GfD16CRxJ fAVxk+TfHEh8R/haS+Eg4ruIV6JXQDniusQ3JO99if4mnMt28Cl6WjjX98Ns 9Nxw7h6AdboXmI7uAiN0LWiFfhweQVflP/ajC+jn4PRsXRaehSrEO3Wv6MV6 H9pPzuEy9PnQOznHq9C1dJ3kmminWiiu1/Ks94RzrNyugWaqReiHfhVuQv+n mlbtwF/obTBTtQP3oStw/lr0eriFuATxfPQCuJW4FPH36EVwO3EmXqxagLvD OVZuV0Fj4n9hDroGDEe/CcPRb0ET9EswED0XrkYfy/l/o5vDP8Q7YTa6q95B uCZUC1tgM/FFqvHkHrwz/M71rpcnP8u97K1Lfqbp6lUYg26rd4g+mt9sTf7P V9Qbuif0YLgKXTn7v5ol10rZ7GurZq4kPop4I7op1Cc+NDv3jZNr8fDsXKom fyO+APoke4Jq/YDs3KnmVcuRnVvV9AbiC6Fvco2dyLGTs3tPPd2XY52gm+49 uZfKZ+dePdWZ+HjiHck1dilxIfvdN4TW4Z5SL+kZ6hCXzH7X10Ft+VS4dhro edSf8Dq6MvuHZT+znlU5TtnX0LkL4dpwTpVL3eOQsMfIW1pDNfQEeDf5mj3Q 9bK9Vb85Ez1InoguyXoccUfWIcTbk71oILyW7ElTwj2rXn0feoY9XV6ud1oj O2fKlTx4DIyFkbp3GKfeDutRyb3VHgYl99gT4RpW7aqn9qL3hGt7GDyPfiHc +yX1DtHDwsfqJPfyCt1jck+vDHu8vF176v2fYFKyB2iWTA4/i2bKD2GPlbdO gC/CniQv+iB5Nnwe1poRC8IeLO/9COaFPU7eppmm2fFt+JhmyKxwj6g3xsJZ 5GtmWJcKz4JF4f/WTFgangHyft2zvGk1TEn2qE3hGanZOCO59tfDtOQe+D3s ofJO7TVCvw09kj20N/rU7FlWBr0mPFM1S/Uf43Xv4XcVMDE8UzVLVVOjlTt5 VvI7lvc1h3nJHrg/XOOqbe3Jm5oqR8kedUy2B6j3tyXPyu7h2tXMPC3b0+Xl +9i7hrVWtherXuSdNyvHyR5alN2D6j3tyUtbhHtFniqvlCfKC+WZ1Ti+S+9U z8e6O+yJ8kLtbQ97uLx7Fpwt7wzrxHqJelV9Gp7p+7QXrkU9Y6VsD5N3acbK y28Lz1J5ur51XgznVt88tbN7VL2pa2q2PcpaIjzjZoR7Vr0qj90Rvifdizx8 a7imVEuaOaPU+zAi+R29o14M94725H1/hmtHHtg/nBPlQjNjQPibKRf36LnZ 31j6tirN3uDwjNVslWfIK87JPibPkDd2Qe9K9kh9O3Utfpf6huoQ9hx5jb7J TsiuyTLF55xB3A1dVJwDzZK24VrRTJF31c/2SnnY/8ecZOE= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0/dXzWEcwPFvlJWyN3GzV/aW+Bccf4E/QD/2R2SWvbeyV0JKVmRTZG8y QlYi4vWc+8P7vD7P833O99x77nNj87PnLkiIouishivMSWqrFHVSN/VSjg6q o0N72YH7whkuZhfuZ2ceYFcuYXceCu/hYfbgUj7VS73QHj3QTfX1vIh9eIz9 eItDWcIhPMVhrOYIlobPzzKO5F2OToh/r1E8xwzWcBIvcCIrWKfJ5ot8puda rceaan+apmiGpuuD/feaYB6vVeZ1Oq8x1uM0Vmes72iWeSXX6rSyrMv5SA91 W7PtVfGd3mqw9SCtMK/RG9Vqjr3lHMiTjPEE05nPATzONBazP/PYm0fZk0fC 78llvK/deqXXeqIbSvW8kO1ZEO4CrzOZu8L94E624zW24Q624na25tVwl7iN LbmVibzCFtwSxS/c5gAv85826a82qlmVuqcNuqT1ynR+phaZm/RHjfqtX1qo H2rQV33XN+WqXl/0UZ/1ST81L4r/B/4Dwctmmg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{323, 322, 326, 674, 665, 666, 664, 668, 667, 574, 670, 671, 669, 673, 672, 575, 676, 677, 675, 679, 678, 576, 653, 737, 638, 663, 597, 661, 596, 662, 573, 325, 324, 323}], Line[CompressedData[" 1:eJwl0tkylgEAgOFPB92HS5FIWSrNoERCtBKlkpoQKjWRnHeaFtrQIqQoFGmx JJHt95PcgANP08Ez817AG5ldmFwQEQRBMzkihXUSNwXBR04wwHEGSaCfY7zn KB+Ip48jvOMwvezgLfm8IY8ettPNITrJpYs4XpPDK7LpYBsvOchzsnhBLO0c oJVM2ojhGRk8YT9P2cpj0mlhH4+Ippm9PCCNh2yhiVTuksIc5cxyid1EcY/7 3KKBSkJUcJM6ClmkgGSSmOcyJxlimE8UsYedfGaE2zRSzRJV1LOLBYq5wRXC 1PCVU3zhNN+4yiglfOcMY1xjgrOMc44f1PKTUiY5zxTXmaaMX1xghots/tde +s0sc8yzwCIhlgizzAp/WOUva0wzTBct3KGOcooi/j+7Abw2bYE= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VvlFEAhtGv04YlJMgPwG2NBRYEElyLFJdSHFrc3d3d3d0d1kiCFHeH tkCV4nBuWJw8c9/MTL/eZEonpyWmxkVRlMWN+CjKiEVRkt4iLyGKypDrdRNt SjO+cttWqA35Rll+UZ2fVOOe9/TRvvSiNynctffUZLrRg+6k2ztqJ9rTgSTu 2NtoW1qT55yo+dpOy9GFAufO4fm0q5ZnJ4XOO8Jz6i6twEG+Ox/QH3pIK3Iy PL/zifD/6CmtxBl+O5/WP3pWK3OJOC4S4zJVqEtjGpFALT743DUtylWKcZ2P 4b61ODcpEe6XDHu6lgx3QKlwd2Ta62gRalM1fEfYw2doRUviucIb78+hhdfN ucB5Xtuy+cs554ia1AjPyjGOc5ijHOE9+9jPbvayh3eMZBTDGMFw3lI/3F24 t3DX1KMB9/3d/jqAfgxiIA/sqZrGYIYyhIf2MTqW0YxnHI/sE3USE5jCZB7b p+l0pjKTGTyxz9Y5zGIec3lqX6ALmc9iFvHMvlSXsYQVLOe5fZWuZiVrWcML +3rdwDo2sZGX9i26lc1sZxuv7HEU+O3lk0cuOWTzhc98IovM2P/f6j+pG5EQ "]], Line[CompressedData[" 1:eJwl0Dsvw1EYwOEjKlRJanG/tAaDUJQYmiBN+AAMNosPoJ+RurQDNve6VOmi iuhg6/OP4ckv582bnJOT3i/sHHSEEPbY7gxhmhlmyZBllRxr7NIkHQshRZUa r3yab2iTr+jMD9+sMEWLhr11XeKPLMtM8stHdFfUaJcXJnhinGcWeWSMB0ap sMA9I9wyzB0ZbhjiikGumeeSAc5JcsEcObrYZIs8dW8raz9n9FHi3fxUezkm zglv5kXt4ZBujkjE/v+7Df4+MSs= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1280, 1279, 1405, 1576, 1699, 1615, 1698, 1616, 1700, 1658, 1850, 1659, 1676, 1675, 1579, 1702, 1703, 1701, 1705, 1704, 1580, 1707, 1708, 1706, 1710, 1709, 1581, 1712, 1713, 1711, 1715, 1714, 1582, 1677, 1858, 1678, 1859, 1661, 1853, 1689, 1852, 1578, 1851, 1693, 1692, 1691, 1617, 1660, 1845, 1577, 1282, 1281, 1280}], Line[CompressedData[" 1:eJwl0llTzmEYwOEnvCVLSYSkGUedZMuS9U0KjZkcFGVfEsIMJ47lG8gB48jy HbJvkSVLIpR9zZIlZM+S6x0H1/zmf88zz3/mnmdkxZaSzXEhhDoyIiGksJWp 8SF08IG3vOcdU2jnDS95zSsm08YLnvKcZ+TymCc84BEPmcQ97tPKXe4wkdu0 0MwtbjKB69ygkSauMZ4rXKWBy1wihwtcpJ7znGMcJzjJUY5zjLEc5gi1HOIg Y9jDLvITQphNIbt9Z+tpreMUZznDKPNP2slHvvCZ0ebf9Dtf+cmP2D/Md2gN pXRRQjHT+MVv9rKP+UznDwvYzwGqibprm+bpdl3ITmbQTRl/KSc4E9Ueukjj dLH21DyN6BLtpUs1Xmdqb12mCbpcEzVf++oK7aMrtZ/O0iRdpf11tSZrgaZo hQ7QNTowtlsdpJWaqmt1cGzvOkTXaZqu16E6R9O1SofpBh2uc3WEbtQM3aSZ WhTbgfc9jyg5ZEX+v/1/v4JlFA== "]], Line[{1612, 1370, 1374, 1378, 1379, 1380, 1381, 1538, 1657, 1835, 1656, 1833, 1655, 1834, 1672, 1832, 1654, 1830, 1653, 1831, 1671, 1826, 1650, 1824, 1649, 1825, 1670, 1687, 1647, 1823, 1646, 1690, 1669, 1682, 1645, 1666, 1644, 1848, 1847, 1609, 1846, 1665, 1673, 1668, 1856, 1667, 1683, 1610, 1849, 1648, 1674, 1843, 1844, 1840, 1842, 1841, 1684, 1611, 1828, 1829, 1827, 1651, 1652, 1612}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.5999999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.5999999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHd0T2m3+CO60VsQgkGYEZ3oORijhiEhRGIYRBtdtGH0XpOIjAlDiF4i kaiDrxoEESkSEtIT6VWLIddd6/vZ567j9/5y3Zn3rveud/76rs/aZz/fvZ9z zn72U/ZpOG6mlYOhgYGBXWkDg//8Xb74Q0uTNZG6H26s0o3u5q30vjIjzHt4 iHAlwyuv11r6C480+amqz9nDwuiP6vss8mrP66IPow+jD6Nf4uSbcCuH+6IP ow+jD6M/omy5qXN6h4g+jD6MPoy+2SWjyV1tIkQfRh9GH0a/2MwmE0tMfib6 MPow+jD6aU61Tyd1ixV9GH0Yfdg/sdgz+zg/ZfjUBm3u3YpX7Kd7NCwbFCCc mjcmdfYvYcKmPlnfRPs/E0Zf901T71ODk0QfRh/m+q/qtWzlGv5CroeRb3/V 3mvh2DSRw8jfP+zaYnRKhhK323zlpOnhuufz91VoNX6nYqkbNDR/caAw/QMf 3GDfrV2XS8Loe7zfnTNyRZzow+jD6MP0J9z+5IbDZSq6KOXCPWd1L5co7Oh9 LKvh9mRlfXDTX5qdevKJ/PkGnxml6qYqljV2dv992SO5nv6Dub7f+PMZqQfS hU9300172CJLaeBd+c4uj+si53nAX54HGPthrscfrtf6x/2Hub8w9xN/YOTc T5j7uavEH9vdNoUogROnVbLr8EJZsm3qz7ZjtuhqNUxf+dXwQ8J9+kY+qh8d q3SOv9FjkGe4UqfgxcMX2UlKtaEJpaIdjioj1763dNuUKf2NvegX+H5fxaWR yvgXfm1TRvHfIxXvBnFDSkxOkP7kfsG0h3/IYeS0B7fZ7B7Ra9ETnZnXseFm s2Yp208GN9/8Q5jwy8Byy8L6PxL2illzoPuEAGGJN3qe3ejVgKD214Un378f d6ucnzDPa7mv9v6eNeai3G8Y/83nO182HXxGODryxIXzs3Wi36og9ckG69ui D3P9zQYJow4G3BR2D8kZOSPqruintyqetuX3INGHuX7G2kKbjpmBwvt3r/3a wCBY9K/HVU6xeRAm+jDXl5+/5WjC+lDhBd+5NrtbJVz03XaYJNePfir6MNfH Ntt1+KT7E2FLw/2mLo2iRH9aP7PEF9nRog9z/dnIIwfnn3gu7PR0hMtJ9xi5 3zxv3F+Y+wdz/2D+D+b5I14QH+GCgZMDdcmByuqQrMEPFqWIPYy3MOMnzHgI M77BjFcw4w/MeMLzjL3EE5jnGSa+wMQ73ife7wlbHJzmn1CZeMP7jZzxgfhX 3NPZPKDKZWV/7Z8qNO6bofqjfz9oj/ed9uDWAba9ap55qjx7dz2mwQU1HhC/ rmyNcLQ6769knnj1wMcwXeIX+twf/OF65PSP/zpd+jLLRAv6A+b+w7z/9l6t jXq2U8djk5L5D4L94xWrLkk6A7+QT8bXiGppL35wUMdP99EL3WsPyVS8hni2 bdYqTNfkbPkgs4/tJZg2PT2v8K5w6MhKHzr09BXu0mlM0Ic3xxR4fb+Ok+rU uy28/IfmWwouhwhfMvk9aVJGpPCsU1u69l8SqnS647k1YdnH+H5t7Y2FPcIt Kq2OOJ05daPw0+FpY+fe2SccGukcuML1nHCP+SeOjG5+WdjVekJ8cMYt4QCP 2UE9LtwR3hOlm3m6TJBwl1V9Jk6Z8UjYcduD6YvrhAlXNh82oe3yx8L9ekX+ 2NvsqXDCix/GvXOOFDZ5+WJKBYto4WcPOraOGxoj/Nb6Xbu0pnHCfQ9bnPJ/ qvL4Foa+D70ThH2Wf9vy+PhE4Qelyrb165wsbDzK8uS29GTF40INm7Bb4Urh 8xhr93dJIu8YU8ln5/UU4TXtrM0c56XK+1V3w+RaaQYvlMGlS7Udtfax5Bdu B9wrB5R5pIzwsjNv81rV33ehZuufB6YLZ5UfdXzkB5W/2F7v1A+hmcK2SWO/ 7r4uS7E3/SnzdZWb8j5uLLy7ZpPXAclX2rsuLrGoXuIV8g/0JV7pWeKVniVe 6VnilZ4lXulZ4pWeiVewNp/heUVOvJn27cDL/Zs8+ST+WLUMvLqjjNr/2vyn z5xjV4f6q/1J/IDJf9KnTOmuCz4s/285zvt0SMxTJWjppjWJkxOV4PxX6W4T byh199Ra5HJD7f8R6ekHomOPCTt3+X3mMLdYZWM1+/VtA54pmx9aut64Ga/s PlXypOmdZ8qkb0JdW3+MF1fyjga5KRGK9bZKJVddTVLirgUbRT8PUO5U73f5 5rg0Za3xAIcro88pKelLdFvqZCo7+0V6Hr2j5v83905fWinfS6k9/sBMz+uZ itN8p1Qzo9Of5F/Eqwo1jw9ND3PWafuX/GvYWte+KbPCxX+THnmdfcJU7uJu 0t7BLkqJr/hui9evCYqfXcxUS6dIia/kW8kPW8+PzlXfJ8aX3An2+XvXq/GI +CnxKeBe9ZjTURKfmR9gP/MDmPwAZnyQ6/X3H8Y+/k/mCzNtM2sfzJL/I94P Ln8pdUr8E13r25v66YZ7WFQvv8jfuJLK81v41HZ4HSrs3SK/u++9MGHspb2q 35k5/+H7SOQRg1OmeUUHCc+J6bU8a9td4dSYO3c2dbonzPgD4z/tn2jUeaZJ 2RsiN2/ka7py7DXhzHt93L8ad1o47r5V83G+Z4SJB5Kf6u/fzsrOJ+6V9lXf Rw+bxLJRVyV+SD6ql7/MGB+84PAN4Sml5sTuKgyQ6yX/1Mv3Wi8LLHvvgXC5 s/6Zbs7Bcr3km3r5AftBiYNeq/Hm+eTQ9DEf8wiul/xSL/+pkl18zbJPhP2M 41KbnYmS6yWf1MsHX58cG13nufC3yQvyF8bHKDVT7j46dPyJvD+WrX6Mft5H 5afNuyzsvOSRcOU5kWtmG6nc5dmw7jt/vS58ZMovI8sEXRP+Q9l4e3ionzD5 h7wfrUKHdul3SZ5ft5rfGY+KvKw+z9w//fuI/e+qXc/sVF99H2u7r8nt+TJR ae1SNur1ykDRv1ny9tV1lg8/aY/xCX2HjDvT6x1R4+2quZtnmy59oY4n+nwY +UP/h+nF2qjxN8Nye3a50mnKq2M2cUu9giR/jrlRrf95+3vKOWvnXt4D0pQe LX0N0pcHKu1Gd/C19kqV9hnPaK+zx+Mfky6o8XyEqfvMrG0Zcj3jHXLPRc9S A3plKkNuFguPzPxNueDZOOno5CxlYTnDJtnb1XyM/BBe6J7gVvJugDD5Ikx+ J/FVn+/C+aGLVm609hc5+SF89vB997a2av5GvgBf7zyx5kLbJ8oXjjV2mrZP UkbtyNw9+4enkn+vT24xuEGqul5TK9uz/MPGOuXCkIl9e8zKUHLtF7jmHLgg 833y8+cnEhzb7MmQ+Ola4caUpKR0ZXXF+++uLr0q+btH/wcx9ax2SLw4t6lL 5wV1lgvPO/VbDf+9kYpF9RYRD4olKvYjij10uB2s2DZt/nX57ilK9RKuE6c3 v60YhW0ftrp6uhL1k+vkGaaPldreHfpO0SXL/PrbkJTWqUPP6+h/mP6GeT9g 9O/Uvx9Xq7mT6MPow+jDbc7pBpu+i5Px9eGOde+iqiYLT3f87sj2r9OEv7A2 Gj6gV5Zw2M6s5QYnc4Qbr7cOjzyfJzx3wbkW526+FL4+0Xi1S9Br4So2y55O j3orPPbb+Nb9X7wTPtW+77rG+e+FCxsdf1ZYWPjJ+iD5Ef7A+APjD4w/MP7A +APjD4w/MP7A+APjD4w/2vVL8jn8g/EPxj8Y/2D8g/EPxj8Y/2D8g/EPxj8Y /2D8g/GP9xX/YPyD8Q/GPxj/YPyD8Q/GPxj/YPyD8Q/GPxj/tOvHxBv8hfEX xl8Yf2H8hfEXxl8Yf2H8hfEXxl8Yf2H8hfEXJv77DWv4uEHnbPEfxn8Y/2H8 h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8n3LtQI3tP+eI/zD+w/gP4z+M /zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP479Jy2bDS17PFf9h/Idl/UjP+A/j P4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+B/iftx1Qal88R/Gfxj/YfyH8R/G fxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfxfX7pVaMqAl+I/jP8w/sP4D+M/jP8w /sP4D+M/jP8w/sP4D+M/jP8w/sP4b+F4upr9tlfiP4z/MP7D+A/jP4z/MP7D +A/jP4z/MP7D+A/jP4z/MP7Dcbft3gzIipH1EPyDWY9hPsX6hHb/kfkN/QeT nzOfob9lPU+/nlHxi/iXtpHZwjcXTOxwv36u8MKEFEeLCXnCLYdO9/M+ki8c fzk778uMl8Ja/8g38Yd8DfsZ/7GX8ZH2GC9g4idMPIF5v2CeN9ZzmP+wvs98 hf3ICnnLN5cJylLmeVi7XwyOlvUl9mvYP2A+xPrZ8kONDhYrnSj3D8Z/kzVp Q8+bpIgcRn5pvO+HGeYZIoeRt9h3Oazq4WyRw7Jf6tTQLPN0rshh5PeXrVl5 90q+yGHkdWamRBwIeCVyGPnU7we1Wv74jchh5OcH+ayxiysQOYy8TPcaUeaZ f4gcRj7CbFHbqgUfRA4jZ/2qY+TuKd72J2Q+BjN/ntUgqm3DHr7CW+etmG7S eb+O9Tquh5nPsf6GHEbO/8M8D516zN2qXEmV+btWzvPN88/7S3yD2Y9iP5Dr yf/Z/2K/HeZ64h/912zP8CFZ5ZPk+SUeIvdfUu/9wcapIic+Ip9gl3jUvlum yImXyIv9ZnO87Nc5Iid+Ih+y+WKxxA55IieeIvdYbDLyas+XIie+Is+cutJr 16DXIifeIrcYlVRige1bkRN/kW/uP8DOyuGdyInHyKM6efm0mP1e5MRn5M2b VS1T9udCkbM+pF1v+O/uBxLfh703qpH8Gft/QcN3x7YYkqm8n97EY2rFOFnf 2WWZYdnQNEm4c/Mzb8O7pwqHl/350Nbhmep6vOP+o/vNc4Q3ji9lsLRXnvBT q6k2toNfCjfrFXii/ajXwgvbtC1eeeJbYf8GbrZps98J16xccMr/5/fCEwpH l9q/obDI/cTgi5EN/d966+D7PVZuC711SMf9YD2+bbOBSVv+y/6Bdj/tc/fL itrvwp5u5lWNPL2yheOifUMrl8kRzt6/w6ZGnspulh2rr7LMFT5Uqbbbuo55 wpYXLlq/dFJ51JLdYW8X5wsbmFpsnxSmcuWU+jWmXX0pfNblWvCT2q+EGW9h 4k+dJbOaTf4v+z+Mx/RnapWznTb9P/bH6pofW7SiTNIn+2Hvvr5/KM1TXQ9k vA4omexdkJQu74d2vGa/RNb39eO37Mfqx2+Y8Rtm/Daq8upQqajY//Z+m3a9 Vrse+Wf31xjf6U/Gc5jxG2a8hhmfYcZjmPEXZryFGV9hxlOY8RPm/sh4qe/f imujvlmy9ozwnmHFfgkauUv3776/5WAw6n1scrw8bwNHb3j1bZ0E4eLRDY/t LEwWTuk61POPNi+E911OsfnOKF14XZ3aQ3z7q9wgMKLYKqNsYZclsz74tVZ5 xuVuI79vlCsc92PoMKduKl854eHVuVW+cFu7Tsd/7Kdy+d0lStbo+ko97zFg d7G+w1S23zTZLrvPG+GgzgYjvxyr8rGf7vvcsypQ93e/muD1/keVC6a0LnP4 +z9Ue2vdKfFkgcoDbF2/Xzn1g3q+pLSZnd8qlXOH+JedNUsdH/6n+zvMX3h+ 136V6xfuoLJbeoh51JAcuZ75jcR3t3n5/Y+p8cjSdsT8wTty5XrmPxLvDd+2 u5Sp6hv4Pz1z9UmeXM/8SOL/zCVzW7ZT+Wzb71+2NXkp1zN/Qm4fVXjaY4HK U/fGtj847pXklzyfzH/pvzNZl60v5yUKkw/C1oFrDBy/UPMD8kE458Sgk183 UvMF8kH4zq1yJ2fVU/MH8kEZ/8/MKG75lZpPkA/CEw8E2zbtoOYX5IOw33Zz b8Oear5BPgiXWOVe6rmlmn+QD8JWcz7YXxip5iPkg/D+H8b5uk5Q8xPyQTkf pdkP055fKGp/Snu+QrtfdXLptf7bDGP+4f6cdv+N+x+zbMjrKeXV9V7yT+4v zP2EuX8w9wvm/sDcD5j+h+lvmP6F6U+Y/E1rL/kJ9sLYC2MvjL0w9sLYC2Mv jL0w9sLYC5N/c76J/Bwm34TJ72HuF0x7nI+iPZj2YNqDaQ+mPc5X0R5MezDt wbQH0x7ns2gPpj2Y9mDag2mP8120B9MeTHsw7cG0x/kw2oNpD6Y9GH3Ok6EP ow+jD5NvkE8z/4OZ/8HM/2D0ybfRh9GH0YfRZ76IPow+jD6MPvENfRh9GH0Y ffJ/9GH0YfRh9JkfoA+jD6MPo8/8AX0YfZjrmV+Qr5P/Sj2H/jyjnNfWs8xf 9OebZP1VL5f1HOpT9PMrmOdX2x7nn2DON8GcX4I5nwRz/oj/Qw4j53rO6+Gf 1M/o/YHxB+b519bTkG8xPyCfIr+H6X/yJ/qD/ud+aOOttr+08Re5rJ/pGXu1 +sRLmHgHE69g4g1M/KB/YeTa+iz6C3th7IV5fukv+pPndaNui2enl7EK9Q2s T3M+kvP7OVZ9b72YlatEeOW8rVYsQWG9k/Vr6m+obxhYtmxiw2p50j7jM9dz 3h45zP2jff6P+0d/YJ/Eb70+/rF+A0t9jv75kfocPWvXf5HDyOkf/o/1eZj1 fpj1WZj1V229Acz+Acx8n+cZpj9kf0cfP+gPmP6jngemnof1A9qHaZ/1BOQw ctYXZL6vZ+SsNyCHZf1Iv/6AHEbOegRyGDnrE8hh5KxXIIeRs36BHNb2L/GU /oXpT+qdYOqd0Cf+og9zPfVOMPVO6BOv0Ye5nnon3ifqj3g+tfVDsn+jn++x /gyzf8Xziz7PK8zzCvO+sB7K/8l5TX371OfB7DdIPaZ+fi71iJzf1F+vrWdi fwR91lvRl/OZ+uvZX5P6Mv3+HPqsz6Iv67X669mPg9nPo55LGy8ZH2DGB1ib z2rrEYk/xBfkxH+Y+KKtn9K2R74Hk7/BUo+gZ20+hn88n4xnPH/Uz9Gf5FfU s8W2MpzYfWO2xF/Ge5j8ivowt91rDp4KzBF9bX0W+QjjM8x4Q/0d+Rv/R71d t6Qba+abqfke7wfjH/+HPnLsQ879Y32Q+wNzP7T7NTDvN+svzGeRM5+Fmc/C zGdh5rMw81mY+SzMfBZmPgszn4WZz2rtL29yoOkXh58q5V8cca5lHado69NZ L+b9Krnl+wJHx2xlaezYzLlbQiQ/ob+rfzeuRjtPNd9+61rOqMPVPKXY6n6L PRfHKe2rF/StGhD1v16/9ir4923FZ4bo1p7y3V77irpe9z+tX/tu8Jb3fkvi Jb88FxKe8KZ8guIYVmdpjQ1nlMVvfF0dv0lQWjYamPq42ZUi692yLr9uUdEx QZl33fTIkuRbStezDl3n/pSgGPfdsUB3quh6uCcGPr8YTkpQApwye11Ofai0 axj/xtTyYzwb6pJWzLPoern1J1yMCg0TlIWbbxb23hT6p+vnam0ffOq3zDhF W0/xj+rpJoX1S67cJUYZXnN1c+MqRdfX8T7yfO6vYFpY+0G05NNF1d8VVW/3 Z+vn8ruE3DQ8cVbiV3uHLiF7s8N1Lj5jWmR8l6dcaVPnWf6cB5Lv/zTtwJMd rhEyP5peeZNbtdNqPn557yWjPRM+nS8Rf4qqv6vmaVjryRh1fNPW441Yt3Xx 8/nqeKetz/uhTtDmoU3V8e9z6/UmZnY4M/RhjMyPGI8qx6ya1LHC59fzaev1 iqrPs2hi5WfV5qaMV4x3IS09p1WrlCPzjzFvIwOclTxl8c4VukapccrapUuD 2+Q//aS+79Dd187O6y7oLG8H6mq8ylZ85p1zKVnm4zzZvpZBv998ddWaTzOf bxynOMbc/OnIytO6WL+x06q8j1NWr+3ex2Sok67j9xOfGPZKkvtX+3nv25Hh 6v1s86GEjbkuXrmz2mdkZOwR5Uzj6Krd98YrikMDY49N+5XxzxaPyhkVrwSa uXjH31f7n/rB5HL1fztyLkYpZdPJ1W5MrOK3q8SSfUf36c49elii7ohspctv F5I7W97SlW404vRU5xzJB3aeya7Y9bifLnmG4aqm5glij3OJa03TJsQrq236 JOe3dZL7J+cbGrRdv31ytFzf36nL41kmMcK/LttjZvm1Ol4uLlxSp8nVWOGi 6guNj1yoY7Y+Tpk/zKW9dcphqbfwSi3nnR7qpDtTfnGp5n7qfHTMinvJVh/7 m/kB+Zv2fSHf6hpQq+OIHvEynwu2G2hR+Fus5CdG496HDpgRq1zLNnao2zfm L68v1NZb0l7G3uKX9rRRz7PR39r625JW2b8YnTsh/jUcEjHvUPVDn/hLvSn2 0N7G/V9ktpjyu3q9p9GyiRevCBdsNf7VY/Nt4ZVbdwwpkXBL+HPr//Cf/78y sMmx2dUCpT1zy+O5FS49FD6/ut6hyy9DhJeufrpiZkOV6T/aqzt+f0vTzuEi txmfaOVYIUI4v+fJwq+bRAlf7Dk1MmpIpDDzd9qb9OBIvXPxySJfMyig1fNB L4TDurVce8E2VfjcpfKOLlkpwukL80aEt0iQ+f7D7o+Nk8smKJV7GI6c/uUZ ZV3ywVprhyYo81/Ybmy6/KrM9/n/kidmBUx/lybtNTJziXJ1SBeea/yq7azZ mcLDd4U26F9aZdYDaM/q291dXcpmi3xsyZM3D1qoXOb985nbe+eo979bYNKy SiqzfkB7Hu0NXKbXyBW5d35l4xUDVB6Z3st/xpA84X5mbbvbGavMegPtZTea 8KJfw3yRGyQ4zra3UflI5KG6A+xfCu80dttu3lRl1idoz6LaHYvGLV6JfHBI xO2O41R+FVBubpPJr4WTyhWkVGmnMusZtLfV0GxHYac3It9zvZtJtRkq97k4 466B41v1eS4Y3SPDQmXWP2gvKmdb2tPeBerz4uPhmLlIZdejwfWjlr0TXp1y ze3OAJVZL6E9s9i8nmeH/CHybvtK3Lu7RuWEnebzz216Lxwa0STD00Zl1ldo b0nQiJ3O9h9EvtFpcsODziq3Xe9+3+WXQuHGdzZ8s2ycyp9b77vx/M166xcm yPpNz4C+icFTEhSXG78UmN6+oSj1nHpnL0pQTkRVvBNR+t5n1wc79vyifpxd gqzvFNruszKck6DMzr0YPPvxA+XgB7tsG4sExWtRw/FxAz+/ntjj2zn90yLi Zf1n1beTK64snqCk/mZeJ25NqHK0Q8bW5s7xSpmaCxZO2h2uLAoLy1l19uM8 6Jbuy+lnHv/T65Hn1c476loYq5S7m+ixb+9zpaF1640dCmKVyUv2WB04/fzf rl65qO8XaL8/8M+ub/6r65Xjf00fVJA8XtcqetSAbqWylfPPcou5dgvWrUiY s2+pW65iYtxjTr0Oj3S7jRaWMnHMVbpc7JR71CBQ5/Qg1GfEV7lKjX3Xkgpj 42X/hXxqc5O5gQ5/+CptbuQMOzUrXtaX/tXroTft8skxKf+LrHfRfm6P0nOW Nlb3I3WZ2S2fXsxVdNfdL27N+TivbPJFJ4uQp0rdpH05WV/66Lwa7phS5uO4 eijtwqjVJ8N0K7cc9/i+dJ6S0GZfv2H77upGP7q7w/9ZjmJXM/vB4YgYpWxe l5WxLWOV9i1bXB5reE1nEzDyaqveav0X8z38gbEfZv4Lo0++iz6MPoy+tn4Z Zj2L+816Fsx6Fsx6Fsx6Fsx6Fsx6Fsx6Fsx6Fsx6Fsx6Foy9zG+xF8ZeGHth 7IWxF8ZeGHth7IWxF8ZeGHuZb2MvjL0w9sLYC2MvjL0w9sLYC2MvjL0w9jL/ x14Ye2HshbEXxl4Ye2HshbEXxl4Ye2HsJR5hL4y9MPbC2AtjL4y9MPbC2Atj L4y92vMtrJ9gP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2M/6DvbD2A9jP4z9 MPbD2A9jP4z9MPbD2A9jv/b7qtrzJNr1bZjr5TyJfr2b8+row+jD6MPoc74d fRh9GH0Yfc7/ow+jD6MPs74g9VD69R3teiPrDcyP5Xut1Lvp57fMX5Ez/5Tv hennjzDzP5j5G8z8C2b+BDP/gZm/wNxvrb3ML2DmAzD5O0w+zvOuPW8j35/V Xw/TXzD9A9M/sn6t7x+Y/oHpH5j+gekfmP6B6R+Y/tGe79GeR2F9mudJWx9K PgJr9+e15z+190ObbyAnXsDEC5h4ARMvYOIFTLyAiRcw8UJrn3y/Ws/yPWo9 y/el9Ux8x3/iDc8P/U1/wPgP4z+M/zD+w/gP4z+M/zD+w/iv/V4y+xk8H8RL 9nvZn2U9mfpL6g9ZX2X+wPeBYe33XGmP/V/2l7lezhPp+1e73qv9XrKc99e3 z/449rJ+DGvjH/+HPvYgZ/7N/YVpj/1t1nd5n2DGE9Zn+X9Y6lP166dSn6pn 5KyHIoeRz99y4VBArRfiD/WfcPVpK6xXtE4Xpv4Ttj3Y2KDux3kSTP0nfMR1 vc3rVrnC1H/Cb1alnwjumi9M/SfcZ+6Q4l59XwlT/wm7jfOz3WD9Rpj6Tzhh aC3vCWMKhKn/hNv3XFKqx49/CFP/Ca9qHWNvvOCDMPWf2ueX7xVzfoH9BOQw /Q3TvzD9CdN/MP0F0z8w/QHjP4y/MP7B+Kc9f8L7wvkJ3hfef55f3i+pj9Hr c74QPqQLKGF3Jk/0qY9BX+pl9NcbzN/c2HWEynZmg3s/eJsv+tTLoC/1M3zf Oa7ShFK7Va7866NVioVaP0P+w/3Srm9oz8tozzPCxDeYeA7zfsHEd5j3Cybe w7xfMPEf5v2CGQ9g3i+Y8QHm/YIZL2DeL5jxA+b9ghlPYN4vmPFF+7xJPaie pR5Uz1IPqmfyX/keuP68EvkvzyPng3geyWd43mDa53qeV+I78x2eD87vkQ/x f7wv/B/xnf/DPpj/43nneuzhvBpybf353+eZ/v/nmf7q80v/1+vv/9F5qH9U f/+5552KOs9U1Hkl7Xkk7Xki7Xkh7fcB/my9flHndYqq59ee5/mr6/t5/7Xn 7eV9/czzQ9rzQdrzQNrzP0Wd5/nk/JOmPreo8zja7wNoz+d87vcCtOd5tOd3 ijo/8a9yvof65X+18zvaeul/1nkd6rM/+7yO5nsX/9e+1/DJeaDP/H7DX33e 5+/zO3+f3/n7/M6/z/mdzz2P87nna/7seZmizrNoz4drz8c6fdN4n41HtOTH 82ddbFXVNFpZ3nXdz3U+5p3a7zX8/T2Y/93vwTCekX9/7vmVf7Xvt3zueRrt 967+/t7LX/u9l88976M9T6/93lBR54Hk+2zH7S6ufjlXV9T5oP8AuWWQ/A== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdl1dwlkUUhndpAZLQAkkgiRJCQu9FpCkdjJQgVlSQIk3ADiiigCCKdG7s bey997HeqmPvimXseqHjWMb2vnMeZjJePLP7nW/37Gl7vv+vXrB69qomKaXO OaWmGo8Vo0QvcbwYLXqLmWKf6CYqRKkoEy2EtibrOFnMFc3ESWKM6CsKWVcA Xuuz5ot5oqVoI1qJ1qIto/ctFUtEO1HCOr/vIIp59trmnGG72vN+kVgoirC1 AzrOECtER9FFdGLfmWK1KBdHiP74OkgMFJVisKgS1WI/MXFs9oqtokFcIUaI OtGHWDpGh4nhokYMQUd3sU6sFbVQTZwX4mshOelN7FrhdzF6W+B/E+LbgjwU EOdifG9PPvsin4fuAva3/l8O2qCrENkw7K3jXQl6d4odop7nskZ5KCW+J4g5 xKMTce9MvCvYs4LRes8VY8lBKWu85zxy43xMF0eTn5nErYoY1xLDaua2+zJy NFScIwaIfsS+jjX7yKH3bieXI4lzL2LchFw0BcezGfb1w68KbD8oG4C8Etv9 fo04H/trsNvnThYTeB6folZs21TWWsdE8mG7x6Woy2rGI4nDtBQ1Z91bxKXE bjc+1eHTqEY+jcanJeTBdTApRT33xKex+GW/x+D7QHTbr81iE+tmp7gbDfgx DjuH42Nto9yXc85EbDuKs33urhR1NgOfJqPjGGT12DIFezYSL8dqVor6qOLd XHy038fh937WHYLNDcy7Ma/BFtt0OD7M5L1reg6x3Mv+Q4nlicRpBrZ2FdvI jXUWYE9L7J1Ojt1LT0Xu/uVe4HvYjty0hYXIvG4e+gqZFzHOZ+5xAfP14jT2 dST+JehbhM652OE1F4nF7PX701lzCmscV/fq5ehbzLoi9C5BvkEsY+8y9hz0 aSlrXDe+M64x14PvoGvg8hR32PfXPXxVipq5WKxk73KePXctur+4Bs5K0d/L wfIyZGezZjXPleTAd9N17R6zBpnr1f3C99H1ewEyj+savfe8h7iEs32ma/NC YrWbdT3I83rivIBYFxHjDcRnFbrKsXcjdjpWm4iXe+ZmZL6Lvu++r+6ZW5CN JJ51jNuJ7VZi65ps4LkG2TbmO5C7tleQA9tTzzvL3ZPGEx/LdpKvGczrGXch X4mejujegdzx2YO9a3muY81eztqD3DF0Lc8nhsPUrH9NcU/9u6Y8R7/vrfEp bJyu+TMpesnL7PH6bhofTdFHe2j+eIq+9ZP4Bj+s+0X03yPa5MjVQI3PpajZ h0RZjlxN0TghR6wfsK858nmfaJ+jZl8S7+Gv4+/vkPvPzc5bDn+nabxV45Vi ao5nz8dorM2x/mcxOkcvs41D8Osm1nnNj+LDFL2oXrI3U9TydWJ4jnp6Hn/s y0iNXXP0z7tEYY469Rnum+6Dt4n3U9S44/QdsXpVvJPim/SteJf8jpKOL1Pc Lfs9OYfvQzW+naLX3sjZPrenxtdSfD9uwQfb30fyN6i5Gs1f4axBmr+V4lvy iPiesz4Xn6Xo4x+Jq9BTnSN2s4jZC+S3TvNfUvT0O1xfOe7r1+KLFPU8UbJP U9wjy35A/om4JkV9Ot4HOOsAZ3v+gXg4Re+3jmvR87F4MsV34mryNIG62E9t uJe4/7qf/Cn+SPH7/bEUdewaHqfx9RS981/xT4rf9deLETl6xF/i7xTfwgLJ bkfv+Bw+2H7Hsm+OePbTOCBHj2vi/w05vnPPprhXvlNVGitz9J4nUtwl36Pm Gpvl+H9QovH+FD2gteZ3prjHN9i/HP3XOe+eI++ui8E5asP3aRJ3qlTjgyn6 bP8cdtvmCo1dcvRF10ivHHXi+/RVijv1dIq+4J5QrPHuFN+udprfm+Ib5fyP zVEDv4nfU3zv/wPDhAXs "]], Polygon[CompressedData[" 1:eJwtlFWoUEEQhnft7u6L3d2BdfVeC7EVFRUVFTuxGxUF8cHu7u5W7EQRFAUf FAMDA8Su72fm4eOfOXvOnt2phH4jOgxPEULoDalgDTyHVlAGMsUQ9qADoT98 h69QFjrBSzgCbaAtFOP9BGiPXRhKYpeCDthF4D18gY7QGlbrW9aXoKXhKBTH b4xWgxdQFH+C/yM99i60H/SBZ3AZ6vqZD/uZdJYkOAXl+aYpWhNuQR78UegM 3Rl7OdoQesBfWAYNoCvchie+10z4AUuhPnSGh7DB76oz52C/A+hwGAr34Ckk w3zYAqugGbSA3Lx/CB0NI/2u69Hxwe78CJrwbAFaA65CWvxe6GS4DpnxB6BT IWB/89x0U8zxP6NVfM8HcA4m+RlewWvPRVF4qzjyzWK0HVyBbdDSY5SVtX3o EBgE1yADz/qiU+C46ga/CVodbkJO/GHodDjjMdDda8MNyMb6YHSa18Zm1ZHX SDXWLqB1IBHuK848mxcsJrWx16KzYDbcUW6i1YrykTdaDmd6jAvh14W52OO0 L/YntBLMCba2zm29sxI+eCx0plqsf0Qr+j8LRDuD/j0WckWrsRleA7uD9ZB6 RznKHi0m0z2G56Eqz5r7HVtgt4SF2PWC1WYS/iKPv3rlkq+pZzJGqwHlXj2R JVpMFUv17GOvmcmeQ8VONalaVAwT9e9ova5/pouWU+VSM+Gi6i5a7NVje70G lHvlbDukwe8ZrCZ3BuvRPsFqohH2Jq8tzYAG+BuDzQLNiD/wC8pBl2Cxzc87 YzzGyk3BaLFVjlTLhaPlTjX9Du56rpXzCqydDtbrimlZ/BPBalEzQLPrZ7De 1Qw7CWeD1WKy32WH3113Uq//9rPV97P+CzYbdOaDwXpYvauZsjVYzyhXyllk LXW02VIBSmAfCzbb1CP7g80MzQr1SGXsStFm4cRgsygFfvdgM0m9WzHamno4 ZbR/aG+9kw97hfYJFkP18ptgs0M9/R9fvKOM "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHe8lsURhe+OaZrYjYYoISiKSGISY4zRBEREQKRdiaiJSBERQQTBQhFE uqJYAak2QFCKVJV2aVKkI4iA9F6kqIBCYuZknvf38sf5ZuvszO7snH2/kg0f KWxhBQUF5/vPaS4vcXmL42LHTY7yjoscDVNBwfeORo4/eb2myzscf/ZyLZd1 HFd7+feO2l6+2WUFRzGLeXcyV7oror9QYx1lHFUclR0lHLc5qjpKOmo4qjsu d3T2+Y86WjtqyQZHacetjkqO4o46jjscZR0nU9jd0tGKciPm3+9o7GiDfMDx GLKJ43Hkg44nkE0dTyIfwpZG6GpLWzNHe0dzx8OOdrSp3oG2Fo7b3b5qjssc NzpucPzH2zudYu/TSK3zN4v2jo6Rjv6O1x3P4I/86IoPsr0bUrZ3R8r2HkjZ 2xMpG3shZfuzSNn7Grqk47+Opxy9HS9gi+x9EVt1Pi9jUxdHX+ZpzVdok42v IqX3eXRKVz/Gyq5vHNsc2x3DmPMaPvfCxgLfk+dcDnQMSlGWbYOR0j0EKXuH Ivs43kDK9jeRLzneQsqPt5Gy/R3kq/jRhr0ejl3ydQRSfryL7A96Yncf9kz7 9Z5jAPZvdCxxLHVMwA6tPwZ/5MdYpPwYh5QfHyDlx0Tmyd7xtEnXJNq0l9NY +33HFHyQ7R8iZftpvrejXH7sWOaY4ZjpmJqiXfMno0/zp6NvNGNHY/tMpGyf hd2ydzZSNs5Byu+5SPkxDynbP0FqzSL0Sdd82uTHQnz4yLGANtV/ZOHHIvrk n+7Qp/g3lb2fhh9LkfJjMf3T8C+LtdFInc1KfJNPa7FJ66+iTf59hpR/q5Hy bw1S/n3BPPnxOW3S9WML29c5tjiWO1Y4NuCDbPwSKT824cMyxhVh32baNH89 +6H5WxknP7YhZft2pGzfid2ydxdSNu5Gyu89SPnxEwt79zr2YbvW3IE+6dpP m/z4Ch90Dw7QpvpB2jZh90z8OUSbfDrCvsiPr5Hy4zD96tOdVn5SbvoW32SL WdxBxfRxfJNP3yH3cOY6e8W8uK/QZY0U3CcOFBeK98SB4sLq8JLy/okU/Cfu KQ8fii8qwlfim8pwnTimJnwovqgKP4hvqsGB4hjxsXhHnFobrhOvKCd1wUdx hfKM8qrGikPEJVq7NfWM8zQv4zzVM85TPeM81bV2W+ryrR112dqeuuzoQF2c Jt5Sfq8A5zdOObd1wo7O1Ftje2f2qxV+DGDvdUaVeCPI3oy/W6ecw5RntZ5y fu+U85n6fkjBYeIJcY/ytvK5OKov9YwzBqecO7uxjy/Qn3FYxmmSL+NPH8bJ nxepZ7zbPeW82wP0O2Vt5dFhKecb5fFkwXMDsFs5Z2DKeW5QyrltSMq5ZwQ+ iy/7p5zzhqac81TPOO9NfBrG2hmfDScmuuJrT/Rl3DaS9TK+lK7s/aE5yjvK JytSnjd1l7L8si3l3DYm5dw2NuXcNg77xlPXGhOoa82J1DO+mYEPk+iTD+KC ydgqDhAvKKaU15XfZ2PTSuybTl/GZ9PZm8nolX1FrDcOP1UXnyinLko5n81J OZ/NTTmfzUPffOrHUuTZXSnnxdnYvoBxGXfOwoeF9MlW5f7FKeewJSnn9Sn4 sYy+Is5kOf4vxu6ZtGncKPrk02D2d3TK+WwVdiv/r8EO5f61+K/cvg69G6hn XLUB+zZSl02bqGvtzSnP+Vuoy96t1DOu2ppyHtqFXcrriq3V7OeOlPPWzpRz sMZe4HfrZ3yjZBy2G916g36NfeKnA9h3kLrsO0Rd9h2mnvH6avzUvP3YfYRx 62nbl3LeOoKtR1NwlGw9Rn0dY/fix3H6Mq46js/fYvdRdEnHfHzTPp1rwUnK r094eYXFW0/5RXlGueVClz8n75zBd4ly6i+pZzlUUnlI344JHedZ5Fn1n2nB r4oj7a/2WZx1jsWbRj6dxfqKsbMt3mqKnZ9avCHkr74lf+24K8U33el8j14C p6j9epfXYV8B9ssGyfMoa50zsUfrnMW6suVs1tWa52CbbP8FfsnXM+AytZ1P u/i0GLx2gniSr7/iuzn77r0I3tc3tfrqpvCpGOUf2F+tI10X8zbQ97L8vDvF t+3vHA1SfC//1vEvL/+Gt4TGaE5x+FHfxeq7J8XYEpQv5b2huRpXgreHUJL3 hr67r3DU83Ip3iH/TtF3Ge+QK3iT3JviPVCad4v6Luf9o2/5S5l7Je8i6dT3 u+r3pXg7/YX3U23qekdJVxneNvqv4CpH/RR7UJay+lTWN7V0aO4/0XE15T9Q lu5rLd5tWusai/ec3nDq/yPjFV/nEmN622mM3ntavww2yz7pyfqlq5C2a9Gp O3HhKffoOu7SP1z+3fFIijfSjZTLWdSzssZk7yfJjki1t+QcqrK3iqmbiDnF TgXuhfpvY4z6yhOH0lHuFBvKsVYxxigmy6OzLrF5veX54AbsKsZaWcxWJG5L YltT4vxmdBdnjGJV8hbKitNb6Vc8ViJW9TauQqxKZ2XKsl/7qHxQAf3y9zuX nS1yTXH0NCH+q6C7BHoU75VYV2vpP5lSxLP2thpxPtXl6xY2KuZrEPfVKdcj 3qsxV/J2yqUoS59iX+/75imf34wYr0lc6T2vWK9Pu+qKcfXXYsyVlKWvLGM0 Xv97KUc0IFYLidfSrFWPu6JxLbhHddAxyzEI/2c6Blrc20mOvhbxNcXRz+I8 P3L0t8hNcxyD2Zt5jiEWNp509LTIlycc3S3ysfQqJnWe3zu6WNy56Y4BFmc1 3zHUwg/dy79a3M1mLt+mbaHjDQs/9N2gN2j2nSepd650HEZPY8dX7IPkXMpN XB5hD/e7nM3ZyacD+DXW8YFFjunk+BKb7nSMsLjv41zWtcgtD7g8xHmtc9nB glu0NwfZn/st1tNajVzutbinmvcJc9e77G3BSbsdMyziX/u0i71qSJ/apaMI PTrDPez3Tsc0izjXOe/jrJ/hDLT/nzvaWfDhZ44nLXjyG8fdFvx2l8vxnMVb Lh+yyK9Htb4Fj611+ZwFp77jGG6RHz91tLLIHy1d6o9n3V/d1+ct7uy7zLmG vXyf/RztcqRFbh3mGGORb1e7fNaCy1/Bn9MZ+x7jVzp6WXD/MkcPi5i8x9HU Igce055Z5OyljjYW/K/30eMWb4cJxIFiYBRnr3O/1+VGC67/vz50KjYXWcTn Y+iVzvbstfZZd2ibxT16yWJ/tbcPumxucZfbch46i6ctcpz2Svdyk8Xd3OyY bJGr73O51SIf6r5usbizavuQ9vout1vkXtk+EfsXu1xiwVU6q66cVz3WkP6H iQnFg3R8jJ6OLjdYvN20xyfZ50eJD8WG7tkCi7vW2mLftedPWdwT3ZFuFvlC uaKBRewqbpWDd1jkYd2JLyzuhWJtjUW8KRZWEQ868+Wcu/hCsSbe/B8h0E3J "]], Polygon[CompressedData[" 1:eJwt0/1PT2EYx/FzLiGLSFiz1tLMrDWZRW2t+RsqRcpTJGP5tjwUZWwe5pcS 6g+IhYkthFRKeSoyVmMa1sysmZm1ZrNhel+7rh9e+3yv7zn3Ofd93fdZVhrJ 2y9BEKxHFH5QlGFrGAQryBbsw2qswlfswGauJ5FX0Io86jXkuI7FRuoE8gX2 6BjqNPIztmET9VLyFtqxgXotOYFSFFMnk5Mox3bqVPI7dmEL9XLyJ3brM6lX kvdwX+zZOocb5E1k+DvOko2Ix1zcxh2xdxdw/Qx5DgsRg5NoQBzmoA3XkR/a M79hJ0qoU8iruCbWC72nhGzGEoTQZl/0Z/3lehF5AYvwh7qYbMJi/KceI2sx EwvwDkcQhfk+1yq/V+fciz6xuWgPe8iHYr3UPXtGPhfrpfZskBwS2xvt8UHy tfdG8Aj9Yr3WNU6Rw1iHLAzgsdhZ0T05TI5gHmZgFNX+OxZ1+OBrmYVPOO+9 zySP4r2vTddcg7c+Vtf8BE/F9lrP6CvyJf6FNift3ZTPTXv4S9eNCNezyVP+ X7aP+Uge87nMxl6xM69nPd33vsL3Js7PzgHfy3jfuxOI9j3UvT7tZ0f3vF77 gsLQ7inAJX92Lv/9Jiv9LOSQb3DIe689jIjdk+Nr6CK7xb69IupO8gESxb6p DvKu2Len77xMHhfrrX7DX3SffayOmQa4VnF0 "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmc1+Ma/TXv85uptCjVtNdMi1KpVKhJIUw11hIK0YhIC1G4Ua5d2fes IcpSVJQlS1GUsiSkQhJNSoZ7L5eL7jnOmc/0x5nn/b77+zznWeZXUDp+0Lic TCazqUomkyB348/SyGTqQp4A/IXBapAPchDYC3gMSEAt4GGgClADmAnkADWB MmA70B24B9iNfapDdgDaAG2BWUAAtYFngarAPsDtwFhgMHANcApwMvAkkAX2 Bu4GxgMnAXOAXKAOcCcwDhgCPA3kJb3lRKAe0AhYCCwACoGmQAMgH5gB3Ac0 BIZ6bnOghduNgZaWTYACS+7xHDAPaAYM87pWQOs99mhj2dLvb+k9Gvtu9YFT va4d0H6PPfazbOMz6/vetwLnA4OAKcBk4BxgMbAI2Bfo4vXU/QFAJ2B/4BLg TKAr0M19nW23Mq/r7Htw/eley/mn+Y78vhQY4b3LgR+B6UAfoCfQCzgcOMR9 lwGlPnMZsBToDYwEzkriTF+vKwL6eR37VgDLgUOT+EbekX/FPoNzVwErgSOA Y4EBwEDjSOAo4H1gDdDf767Qd4nHuR95Ra6RczuArR6fCpyX5B/kNv2DfkIf IcfJ9X/YDjyf/kKfoG+Q8/Qb+g/5TO6HzzzMb9gF/ADcmMRh8jrXZ/DMP3Pk H0PMA/L9JPOBPkFfIZ/JKXKrkec18TfnNfX3fW7nex752TxVcr1FquQ6v+e5 zTWtrLN2qZLfrVMlv/m9wO2CVMnj9j6jtffgvA4e45vJmR7el7bp5DWd/c15 Fdwc7nYHzyMHu3peN3+Xuc353yfx+wzglSQfIHdfT+IxeflGEkfJRXKQvOtj m0x3Hzl+cxI/e3qc/F7ku/DNS722yGOH28ac28/fy93u6zHygBwlf4s9Rp6W +Jtj5PEAry/2GsaAwbY5x8i7Y4CdSdw9O4mPx7v/oySOjvL6Eu87Oolj5PSY pLhSz+D+5NFW78/5FyTF1gqOkZMNDHKSvJqUFDtoF3KT8ZwxdrPtR31dmBRz yYuLkuIg7X9xUqyhbSckxVZyhvmCcZ3x/XJgovc61u/kG7vbhhU8GOE7TLT9 u3is1OP5vh/vtsU6o16uTIpN3T2/zO1twKtJPGAeZG7MWB9jrDPqYLz3pv7G 7qGncdYTz7/UdxhkW3LtdUmxhjaZ6zczP97iMw8CPgGuSOLxMOuROtwAfJ7E 4xEe72q9TrAOh9p+tN164DPfY7h11MX6u8zvnpbknz28H89l/iCPpljvo31n coi56J9JnKvq++d53mT3UzdXW+9cd21SbOXe13v/nj6XfndTkg8emBQnp7k9 yveg/cs9j/ph/XBDEud6eS39kZwiz9r5jEnWT5F129v2ucs2ZExnrGcMvjep Xd2S39XMgUfMA8ZHxlbWA4zhzyTFcdr/Dtuf4zM8h/IBt5lHHvL+DT0v330P ev/7vaah9+YZdX0+71FRjz3qdo6/mStnJ+Ue5rbHk/JTLUt+M1clf3Md89Ms 95GbtyVx+SvbnXp/wnOYz95LysFHuO8J75/1udyP+WyO+55yu47vO9N3mOMx 3jPPb8z1HrN9Fn2Q/nAw8K15QA6Qa3OtE8Z5+gk5y/zFWo213/NuU+dr/d3M ffM9Zx3wUlIdVeD1hcYC97V1e1/LhW5Tvug2Yx1zQ8ckfjFukGP0s5eT4hHP Wez5L3h9odct9tqPPVZo/TJPMEewHmIu6eu9X0uVNdWbSX7Mb+akIs9b6nX0 Vfoc64pPIZdYnxxf5jlvuc09Nvq7t89e7ru8k1SfVdxlhfuX+E4Hu+9d93O/ tz1/k9cf6vcvsl6L/cb+lqvcJtZ4nJL13NGWH7r9gb8590t/9/ceq93e4vVH 2/a0L32XvrjWfYyJjI2Mo4yFjKulvvsm33m+bVNo3W+0fmj/dX4T64oN3oM6 +MJ6WO379beetllX1AF5w/z4tdsdfedvkvLTZo8Nd98Wv4V7v+f917ifuYx1 znq/id/M5QMt6T/0ne/cPs6S36Pc3ur+W3xPcpkx/tykeM6cwfzIWos1BmME 4wPzP3M58zi5vt1zGY8Yr5g3++D/zitDuXMXZIcQd76HHB3SyeeQuVnp4TO0 N4R8Yzdkj5CNa0CeGMoh6yELQ751OmSV0NohkCeEdJiD/apkdd9/oe/nkK1+ gewc4jrvx9jLPNAafRtDOeQnyPKQXk+FjKxi8m9odw1xOqFvckiHf0B2C9mm LeSXId1cArk9pNe9Qm/mey+AHB+qBagz1q+sPZjHWI8y99XB/meG7J6FbJBV fq3PO4ZyX3vI80O5rhSyCLgK7fMgzw3lyRu9J/NkBnvUzcqXxmJ8XCg3Hw85 IsSBwZBVQ/XXTsgdoVjbG/LkUEzpC3lDqM7gHcP3PANyv1BtxXu18924d673 /w8wIZS/36EdQjF9GfUdynvM8+XWR0f0/Rjyvy6Qv4Z8tDvknyE/OzD0Nr7r ALR/D/niu5ANQzXR+5BNQ/VUPuT9oXhArrPuZ13RBH1rQn5Pn9hhv6Dc6TZr k13WawZzV4Tqt0MgzwrVSi0gPw7FibO9vsTnlPus6f5m3F6HuS1DdRw52Mo8 JI/amEvzIJ8O5fL9ITuF8sCw0Nk8tyzEOfLtJcgXQjl1TMh+tN3IEIfIH3Jq UIhXCyGfC+X11yBfDuXp7yAnhWzyFMdD+fwiyItDfl8CeWGotkuQ34TqyXsh 7wzVUlshJ4b0dwVknVBdfB31F6qvH6FNQjXRLMiZodqHsYF+3tFc3mUfOQp9 X4Ri0NeQW0J5t1HI9rQ77zjA9zwS8tNQjTgcsjhUI66GbByqFWpC1swqN/RC Oy8UB6mPV62TZiE+kUsfQB4WqtFrQdbOKpf8BjweqtOmQU4P1Yj1Qm/me38B hobqzBmQDUI1IHVzufXTMxRrGGf+CzwcqhW/Cr2fb/8Esl/ofwD603L71Nuh 3/5YL9G33rR/vQH5V1JtdlAobpKnj4bO4P610f53qM6oG7IZ73Mt5DWh3/Om Qk4J/V71Cv0x+beVrN7Dt1wFeXWovvwVuCdUA28K2YO24LrFobXk7CLz9kXI P5JqwpWhuMOYsxayeahmegby96TakjytlhVXq0J+G+JJQcjH6F/VeX5WPkg+ 5mXFSepjSUgn5N1j5l4NjA8M1VDVQvtyT+6xLbTP/4C5oXr4+dA327TJh7YL fWu+/Yt+/GzIl+kfd9tH7gpx4u/fZkP6oq7+9gn7xfWhnMp8+mSIZ+TYHbRJ 6DdU+uhs++mt1H3of55zIEeF/jcjZ1eZt/SDzfaFmyFvCv3mSt0vCOmfOp4T 0vP/AaLRgAI= "]], Polygon[CompressedData[" 1:eJwtlmmUjmUch1/u/1MxlkHLUCppFUnZ6pPj+KCVhpIlNCVLWVsOJWRfJjOk MJVOq5yotJAtKmQrSylLkpTSiqTVcv3Oz4fLXPf7Pu/93Mt/Uaeof2G/8rlc rhgCBvPPL7A45XJ3Qkt8C7yDfwYt8A3wJr4FbsFrZvwG7wFDGB+E9/EiOA0v Dw/iQ+ELvA50xu+Hh/E/YDl+F+zCL4Qu+APQCP8bVuMfw3V4Ae/7Ce8Goxkf 4m9fmAL5jDN4BB8GbfDjsBH/Wp9pffy9F0rgJsb/hOf+Clrj3WAE3hhux/vC GHw4XI//Bku1F+iJ94AO+Cjog1fK/F1zuJrxf7AOXw+H4Z7ws/2hH34f9E5+ x434EfgI3wnf4BfDHfhDcDP+f3iuXZDHuyoxfhTfCh3xTtAHrwC34UUwEj/K RTfHr4VejB+DVvg2eA//HE7Bz2LOfTo7CMZnMN6rtWnN4TPRWYyFJvgx+DT5 jKeE96i9PQk1Mt+J7mI3XIp3De+lu+4cHxCeS2vuEF6z1qozKVZ86JzgCSgM 70Fr1x2fzvyXaE58jz5TvPHZZt0NPMv4Gagoh0n4BLgVn6o14tPCZzU9OZYm hr9TTD2FTw9/pzlq4ON0Z3h7mKHzgqfxmTpz3l2RcTOtHfbjeeFYmAyn8n0F xk31HijFJ2vP+DTYjJ8H7+JvQ+XMOalc/BIO4FX4bFtyjumurgnvVXemsyoJ z6Uz07OVw7/Vbz4J57Ryeb5yOhwDunu983x8KwxKztGfwzGm2FJNUCw0C+e6 YmIQfrdiAh+fnFsjGZeezLFX8TnwvPYCc/HXwv4iLFTswWzlLixR7Qn7HJiN v6KcSp5jvmqPzgB/WXPgL8Fzyc8s0NlB1eQ55+Gvh9+l38zSs+FYyIMCfK1i ULkD56hWwEC8E7ygtYef1TsG4peFY3ccjFIsQrvkPa/Hzw6f7RvwAf6h9oxX h6X4svDeqsEKfHnY9cxq1SKYp1iDVfjK8G/1mWqfapRqk2pgPuMqjLfjO5Jr cdtw7qomd8E7Q0HyHSlX2oVrsXKmXDiHlDv1oR7jK3SnyTVQta03jE6ucdrr mHCt1Z4Vu1PDua4Y7oX/eTIW9Jv2jG8In5Vq1OFwzVetXwFnhnNIuVMGFyhW YWFyTRqv9YVzTXc0QmcBhck5uA6vGb473dnl+K+wJLlGN9R6dAfJNVW5/3i4 lqgGDMWHh3uB5qwVvkPdnXrcueGcVC6qBzZQbIXXrjPS3FfqjpLfoV51FaxJ 7ll/hXuMeoue+Tdcw1W79UxZuKeql6qGBHeRZT4L3dnv4Z6gXrAMqmbuseqt uvND4RjQ3auHlstcc1VrVQOPhnuget8G+B7fF65NqkHqzXtgUXKP3ot/F65N TZJ7V+Pwb9XDqjN3tcy9YFPyWdcPr01nrl7QNPydekJd7T3c69XTdyhWw7Gm O/4B/zFcG1Uzv9Wz4d6uNV2E7w7/X0A9cBNeO5ybqlFv6W7CtUA5fwI20SXG "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHnc11MWx5+p7v0iZCf1pEVaaN88LUqSJko9LVpIhaS9JopkZmiYItMo kjFZytJiH8YSRohSZBDGUGMYwzDGMJaxzHzer/P5vX798XnO/d57v/ec7z3n fM55fo3GT6+eVqOioqKO/tSUnJ8qKvbJFRUXS/5CclRRUfGwxu8J64UrhEuF w4UGwltCPeEIYadQKTQSnhfWCAuEt4X6QkPhRKFK6Cr8TbhL+KXwkXCPsEj4 WLhXuFL4u3C3sFD4l3C/sFj4t/CAcLXwhbBE+JXwrrAO24U2QhPhSOFyj1sL /xTuE64S2nq9qdBeOEpoJnQWWgpHCx2F5kILoZvP5b1Onmvp72nttWOFY4RW QhefwXN3v9dO6GGJzmt8J32EnkIH6zzO6x2MZrajl9fRf7xlZ5/X1N9wgnVj S2+v8/yosFw4V+hru/mmfrYPu35sif5Btgu/9fccNp5siS0DbAd6Blqi/xSv s3aS9aBjsM9D/xCvoX+oJfqrvc7acOtG52mWnD3CEv1LbeepwjLL0cJIr2PX 6Z7nm86wxJYxlugcLwyzzrG2D7vGWbJ2ltexZYf1cJ8TPUbPObYP/Wd7L8+/ ThEn+Ps878WWmd7He1OEM61/su0706i2TVO9jl3TLLF9ks/jnRm2lXOne53n R4TrhAnCY8L1tn2E9bP/CeE31v+4cIPPJtaJJWLuVuEW2/4H4be26ylhpe16 UrjR37RdWCXMErqIWzoLb2q8bw7OgXu6SlYJ7YQsJOF8zbeVbCOs1vhYybkp OGovjfcULtR4o3CTv/Vnwjzv+alwkZ+fFm723cBdcBhcBkfBYXAZ3LDY3wrn wU/kFXwGr8AjcAxcCHfAYfATeQc/wUnkPLwFn5G38Bl8A19sEFbY/3AYvAU/ kNvkNbkOl8KX9a0D3ijxGZIYuiwF11bavnbe18L+6WjdnFfitvbeRxyTZ/1t axf7tZRXp/ks8rXEeciutvXY3d4h34/32fBDD+vs6ecS33X3Oyf4Hc4ix0/0 +wOsn33wQIkzTvK+Ku/tk8o81c86+vuZb+6VytzEeSWuOtn7SrzZK5U5a4DP hRPgiGtT8Mgon8t9DbUt5F91KnPWEJ873Pt4n7wencqcNdw6Rvp+W/v7q1KZ j073PnJ0vL91sNfRR/6XuGqM3+nrtcG2Y6z3ofNsnzXM55U4bJz3kSPk3c8l X0/BZRNsB7E50Tom+ZnzyPUZ1j/Za+ib4ucSH021zul+Hus59hGf5AL59VUK PqImfZOCj8iN/6bIE3jn6xR1C576LgU3wSnfp+AXeOeHFBy00t88w7p/lCPn 4an/peAmOOK2FFw0W6ipPS+n4Kc25qQ5KXgF/oBr4CM45IIU/AQHwSfMwS+X CHek6I3glDtT5Gel75i75qx5vnfe+TYFt8KzfxRe9DvwwJW+p9+l6F2IF3If /oEPOpsb5/oZLmpqwFfk+toU/RfvwQOLfDZrCz1HHXjYfj9Y5x2Uwx/kOLzU ynKJxxPtB+rdgynqGTH8UIo+hhzaIvw+Rf50zCFHe446TX7AOVdbz3n2OWdP 9n1McqzcmMpxdoP3TrOfp9rHN3kOn9/sOexb7u/aKjxrf890LMyw75mjvnSQ ne1dX2rliI/Zvvu1vkPuco3HB2jPZq/hk3X2A/d69273fY/vHJ/c5bvHV+vt K3Jgse8Dn99rvy/zfZ3qe3rAd8Xe+72fWLs9Rf3CD8RKa/vhQfuFPLvPeg6U zf/ZzQ8P2V/3WHdz39kjvjdq0K4UdQifP+p7PULnNMiRh3UlD8vlvH3MfsRX G+yvSq3XzxHr9SQPz7HWKUd87LCfn7Cvyecn7f8mWm+cI7cbSTbMsdZU8shc zuenHAPNNHdUjl6AOHrcsdNCc81zuf5vdJwQC087HjYJz6ToT1Y5ZmbZx5vt f/L6uRR5+mqK/3OYp15ssd9eErZ5nn3kNXWamNrqs9Hzgs8nlvm+qdbzkt9t KXtf8x64CY4iVl/z8yzbuMnjV1LwSEkn48bWt93vbrPdC/wdr3j/aPsN/x4q vYfk8Dc+ojZQB+GJNxwb9CX0TPRLf0rBmT8Rupk/53qNHov4/LPH9Fj0frwz 2+e97jPf8ZnEG7y503p2edzI6+/4HHLxL6mcf39N5dx6P0XOvWXdcDJ5+WGK vCQXP0iRr8T/P1I5/z5J5bz5NEXO0evWyBEv5OLnKXiRXCKnltov1JLt/v7k vjS5l73QPuB5tu+tlsd8/w7ff+H97KW/3du9Me/vac5nfQ+fCR98loInLvae +ZZ7eXx0jnM58xjJ2n63tvcwJv7IPfJuoeZGFxFf1K993SdQo+s6358hL3Pc b1ftrSqCF18UtuTw2x6auywHHy2gVy+Cd5jLRcxfCgfk4K9UxDPjl203NpMr 5ANx3k57zvf3cAfH2H7uqZW/lzjsnqOOU6u7+d7IdXgADqhdhE3YU2HOYL6j 5uf6jugfWpg32NPM+7poz0Ua1/EznAMPUUO6+v+XltrToogz9i/i9xRyqFrj VkXkSy/NPZ8j5htorrKIvmCK5oYUwSuXaDyyiP4CP+xnX9SxX/je4VqfrnFr YbAwLsf59TVfr4h+6jDJQ4vopxpKHlFEP9VYslER/dTdfFMRObmv5Kk5cv8A jQ8UvtT4oCKeGbM+1HuGam5QDm47XOO6RcTLkZJNiujRjpJsWkQv1lyyWRH3 eojkwUX0g1X2HX6jLrexH+GVNv4u7Ovk2gGoI3DYZslnc3AEfEzNI0epafQ2 9DvooNdhjrpBHYGDsa+Jaw2g7pAP1BDqFzWNe6zn+kUOUPuojfis0jXuVsnj c/BVK8cIPoJP4VVqbKk3GuWYIV7oLfHNoeZe/NHI9Y7aSM2lpuEzajBzrFET qZ/YRG1d4Xtq67virqmXfCs5vShHXnPHVb5b+skuu/ES4zd9552dO92dR/gF Duvs/VWO+Tn+lg4et/F4tc/p5nm+u5O//YoccUPMzHOuwmH87ni58+VC9heR 3/PQX0QOLM2RG+TFBZLti+CDdv4uzpsleXsOLpnBPeXgEuxtb3tW227uv7XO 2JDjDujt2/mcYUXkGPk1WxhRRD3Hjv2dj3De1hy8N1GyVhF92ZkaDyqCdzYJ PXPUrzGSA4vgjhdycAE88KrkOTl6z+3YnqPOEdfPObbn4FvfbU2dUaOI30HP 0NwpRcT0WOHoIurWE0KPHP3iCmI5R69xFjGbo5c8XbJ/EXG/XpiZo6ah5yrr GiHZu4g4Ow2bi8iBkUKfIvJkGPlbRL5NEooietIvNf4qR00dLnlcEfnwjfB1 jt93R0n2LSLWbxbuytGzfCv5XY46d6fkdTl6m9GS/YrIgd7Y6Pk7JNfk6IG+ kPw8x+++x0lek6MfeCrHM+P55JljiZq2MUdde4M8yNFbTMjhG/yyn3ROzcEn S3LwNVzNXY73fb6C/hy/Se+S3JnjN++PJT/J0XN8JPlhjt+/35d8L8dv3u+i M0ePAvfPt20fsJ6jj7lN8pYcvR61YqBtYG6V56+XXJ6jT8UP5+XwxdvEUY4+ 6S3iPcdv/MTm047PCmpXEb3O3pL7FNHr/KD173P8Bv8p95rjN/vPmMvRP8F/ 23Jw4F56b3KOHomcODdHXpBD1TnyaKXkshw96TrJm+x3/LzWPmX9Wu+hvlW7 hv4ff5zegA== "]], Polygon[CompressedData[" 1:eJwtlnf0z1UYxz9+fJ5bURSyMn4N8/cr7b2MqBBKSvPQ7kRT85zGOciI5EhK P1KEUkZJ49RpaiGjkiQj2dkjq15v7+8fr3Pfz733c+/3Pvd5nvst7t6rc8+i LMvKoAIMjSzrB1/lWfYNPIRunrIsaBOchH6QdhxjFWivhIfhDeze8Aj6VOYc RlsR3oV34FfGFsFj6DMYP4K2svrhd/iLsX5QxFh77OfR22ExujW8nXvOfHQr eAu9Av5EXwKT0X/DP+hLYQp6A5zNeiOxv0MfRfsznJOsJ9E3grYlTER/C9vQ l8FUraU90W10BvQaGKjfonXQTWkHw2nJZy2BJ6EMZjE+Adai28oP6HUwGd0C jkXPhtfRY6EYPQc6oF+B79HD4Tn0ycm+bwYDwneku/kahqDPTPZlKVwl34W/ 7Qab0dvDZxkEc9ELwr7rAzvQ/8Jm7QVPo18K+2IhLEEvC/v2WfkYvS58lgGw Hr0p7OuBsAd9ALaiB8Mt6DHhs86F3ejLYVruPV9AD4M30fWgM/pV+DF3jO1H t4PpudfUWP/w2TVnELor529eiMHltKvCd9UfntLaMB+9AP5Dl0+OrSE6E/a9 8EPumC9h7H7seejytB/orujbr73hC+zPw791CdyJPoTx93UWeDl8Zp1VMdcd /SmMRz8DXyq3wt/Wh1m6y7BeqhhUrIZ1A51Rvy2slylm0HPCWjHTlr1nYI/S fMU+9nVhXazc0G9TTMm/6kueozGdqRb6YqilOMC+CD1NMYCuSVsXuzXURe+l rwb6QqiBvRt7dDhmFhbiuQ1j3cJ71Yf22DfQHg8n6O6xr5dP4TjlWrKP5duD fclzNHZAPkpeU2vtw56k3C/Ek3JoePiOdbfKuYnoCYX80p0vDcewYncVbAzH rGJ1fe7c3BDWylHVlkWwMneNKZccM4qVbfBbuGapVmnOynDMKdZW565FK8Ja NWlNOGeUK2tz15LVYa2aotr2R/i3qca1ZL9rsGtDnULsZ8l7KweUO3thS+4c qqxampzrqrF9wzVXtXYmzAvnvHJ9ee5a91NYq+bdjs75/j30ULg1XCNVG/vC rnCNUG3YBPvCOa7c1m/YGq4xqi0bc9feLWGtGqxaujP8rWrqTMVC8t2WQQv0 dPpG5j6zYu1a2mPCMae35FHaSuE3pQP2h7Sjmd9QOQ/jwrVTd663qrdyMvxm fRJ+s/RWLWa8FH1isn4AqqPPh+qM78I+C/0E+kioEn6rHi9ovVmfQY9wLqtm /YK+Lewr+TCYf0fYl6oJh2LfFa4NMzRHZ6Nvj2pF7txtkBzbymGdraFiLvcZ 5ZvaybkpH52HnkLfi+hq4dyul5ybyvGPsZtil6N9Lffcatg7c38zFfvo5LOO yJ3rNZNzWTn/EXZj7Ix2TG7fdAnvJR/pbTqXvqrhN+q+cM1UrdSbeErym1hS uIOOyWtqrca0jbCvgEbhPU5PfsNKC3fcCfum8Nwm4dreKXxXqvH69sbw3WuN Vsk+lS8VM+2SY0yxdbDmJNcg1R75tCNtF8VAuN7XSc455ZrupEnyb9De8uGo 8Juvt15vRFXGqiT7Uj7tSf/NUARjsZsl34F8r757FEvJuahvxoffdL3lemMO 138lGIbekbu2Xq07CtdY1eau4VqsGn1B8h3q7jTnbqiYHFtaQ3dTKXkt3VGv 8Buns+rM/wMSrFZ8 "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0+dXjnEYwPHnoaRsCmUmshUys7XLm1557Q/gr7FJ9kqSyF4JkZW9SyQi KzPrc5+8+J7P9bvO/ZxzP+f87sRlKwqXh0Oh0HmNVzBHKlo91EdxileK1mig h+L13jydGzmDCRqkD84zWcRZHKwh+ug8lJs4jC+YzqtM4iGO4GGO5HWOYSVH 8wjHsi54Vx7jOB7nBN7mZJ5mKs9wCu8wjWc5lef4RdPCHf+7Qc+1Qc+UYZ+p xcpWlu7bV6nAvJ5Ptcg8SSmaqFN2t5RvXsdtOqElzid5VE90QwvsbnIh7/G1 8sxv2KxWrdVj1euR3mmr2vRWjXqlJs332y2cx89M5ijN1WbnOfzERA7XbBU7 39U1tahCL3VQD1WrAZ4rD+4AD7A/rzCWZezL/ezHy8F9YSl7cR97s4Y9WcLu 3BvcLV5iN+4J7ht3M4YX2ZW72IU7GcULfKAdqtZ25drnaLU5gpEKq7M6aZX9 H/1Vu37rl1bqh37qq77rW6jjA1j6/1v4B8efZCc= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{335, 334, 338, 686, 677, 678, 676, 680, 679, 598, 682, 683, 681, 685, 684, 599, 688, 689, 687, 691, 690, 600, 657, 733, 639, 675, 619, 673, 618, 674, 597, 337, 336, 335}], Line[CompressedData[" 1:eJwV0ksz1QEYwOE/G5/DV8qKqJDSjEg3lBqpyDUjXShqa4+SSKE6uVYol6lQ ieN6cFAWnrN45p139868v8SMvCO5cUEQtJIUHwTplhwzm488I8QHIpxmk6e8 5x0bnGKdFgboZ40sVmmmj7escJIwT3hDL8tkssRjXtPDXzJYpIluXvEndi+/ aaSLl/ziBAs8opMXzHOcOR7ynA5+cowfPKCdNr6TRg032KeEepLZ5iy13OQf pdwjl3PskccZUtjhFvkMMswQWzRwlCjnuUsZ/7nNfVLZ5QJ13OGAcka5yAiX GKOCz1zmEwV8oZIJChmniEmq+MYVvnKVKaqZoZhprjHLdRJiv9NNmBVWWWOd DTaJsMU2O0TZZY99lpgiRCetNFJJMbFIY30eAgidd48= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0DdSgmEUhtHLD4beFbgOZRMWYuiwVXANbAFDgTlgzooBzGlHZsAzQ3Hm mXnvfM3Xny8OFVIRMU4riWhSSkcMZCLyDJNjkEkKTDFCkWkmyDLGKB/ez+gs ZeaZ49O+oItUWGaJL/uqrrHCBut826u6xSY7bPNj39N9djnkgF/7sZ5wxBmn /NkvtMY5V1zStN9onWtuadCy3+sDdzzxSNv+oq88884bQZ9bLz1000WGNAkp gnbS+ed/YRs5NQ== "]], Line[CompressedData[" 1:eJwl0LsvQ2Ecx+FfnVO9MGgFMZpJqCqtxNDBUFGqiVgxiYEJgz/XXYJJXVqX RwxPPu835yTnzZk5PO2eZCJijySNqCURDdZosk6LNh2OyHlvlTpdJrMRWR1j 3DnDEJd2og2d0mE9oMO0vaO7rDBhp7pPyblMsGx//92LH7b5Yok+VQZs8cki 71T4oM0bC7wyT49NXpjjiVme2WDUd4/1kREeuOCeO4qeF7Wg53rLDXm7oDk9 02uu0v//+gtQUCRV "]], Line[CompressedData[" 1:eJwl0l1TTVEcwOF1cmrM1EmppEQdldIMH6HSm4w73FHNNEnGDENdxPQmit47 XeETKcq7RCi3XOSke8+eLp75rfXfe/bMWrOT3Xcu3Y6FEFIcjocwRj1PKGCS Qp7SwDJHeUkJK5zjDWWscZy3NPOJCj6S5DOtbFLJN6r4Ths/qeYHp9jiPJ3U covT3OUiV8ghOzOE3/qHQRL2Cc3VHf3LfQ7Z52qepnWXB/yLnnGGs9TRRXt0 Xu9e0AH6+cU2GRzkMjXRPXkvph1kWW/oV9Y5yRda+EA57zjBe5pY5RivKOU1 jbygmGcc4TmZvh/nqvU1iujhHnsHQujTm1znBr3RGc1TusQ8iyxEd2A+q3NM McM0afPHOsFDHjEe3aX5iI4yRD7D8f3/5z9AKkRi "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl01VvFUEYgOEt0BZ3bSlQXMI9Vqw4xbV4cCf8AFyuG1wS3AnuENzd3d3d nWfCxZN3ZvecZPebc5J7j2g7PCaKou8kxkZRAstIiYuiPfRmN33YyyjS46No tE5lCrXZzwH2cYiD1OEIRznMcY5Rl5Oc4gRnOE09FrGYhSxlCfVZwwL6MofZ VPccNbhs3Y9L9OcK44l1b4Bm0YEapxM0qw7SeB2s2XSi5tAhml1zkZOazHWt Je2sh2oG7WlFbtfysNZ6HZPpYj9J8+kwzasFyE9B1rtWSztoihaiMBvCLLVj mJ0WoSgbw8y0U5iRFiOBTWE22llTNZHibLZvoOnaUJMowRb7RtpFG2tJSrHV vol21aaaTGm22TfTbtpcy1CW7fZp2l1baDnKsyPMSXuE2WgFKrLTvrX21DZa icrssq+ivXR4OHu/u5H0I52WpFKNqmTQwucy+U5m/lrHaESa9W/+8INf/AzP zTe+85mvfAnvxUc+8Y4PvA/vzxve8pLXvArz4TkveMIznoY58ojH3OchD8Kc ucs9bnGH2+E8uMFNrnKda+G8uMBFznKec+FcmcksxjGf1axiBitYyXLGMp1p zGNMuG9mSRSP/f///gdQYoDp "]], Line[{1619, 1398, 1402, 1406, 1407, 1408, 1409, 1553, 1660, 1848, 1659, 1846, 1658, 1847, 1679, 1845, 1657, 1843, 1656, 1844, 1678, 1842, 1654, 1840, 1653, 1841, 1677, 1702, 1650, 1836, 1649, 1708, 1675, 1692, 1648, 1672, 1647, 1878, 1877, 1616, 1876, 1671, 1681, 1674, 1883, 1673, 1693, 1618, 1880, 1652, 1839, 1724, 1838, 1837, 1874, 1633, 1617, 1879, 1676, 1651, 1655, 1619}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.6249999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.6249999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVte26MEWW4IldkWNXcGKGI267RWJomJvWKImdoUYNRhRYy8oatAY VERi74gaP0RFBSkCAlKkIyC9qNi4vjG+39znbV8e15Nz7rvvvfzF+I255mLO vfdaa6615vwa2yywmlnKwMDA/BMDg//xd/WKd22N10Xppt1y0E3qflbpd2P+ o7OjQ4SNSt14sd7CR3is8Q/Vzl0+Joz++IExUV69vUUfRh9GH0a/zKmX4VYz H4g+jD6MPoz+mAoV5y7uFyL6MPow+jD6Jtdrzf7KOkL0YfRh9GH0DRc0m1Vm dozow+jD6MPoP9tR53xK93jRh9GH0YfRHz23UQe/O4miD6MPow/7JBvGTEy4 qOj6tjh7xjJFmTjPpXGFIF/h9Pwp6Yv2PhKmfasGbdvtDk+V9jDyXc/NTn8/ 9ZnIYeRvA78ynZSWqSQcMF/zzbxw3RPbQ5+2m75PsdANG1GwIkAY/+CjGyd2 79TturDZqY3Hyn/mqFQMP7KwR8VkpdHZKvf2u3gLI1969nh2411PFYsa+3pc s38o8g3BLfa2PPP4g/ZPNp6bX65+urRHn+cB037Q9CuZ6a4Zwue7674LNM0W e5DzfrCf9wPzfmCel9Y+7ftCjn3a9rwf/IGR835g3s/+Mm927dkcogTM+s5o QudUZeX2uavGTdmqq904Y02r0W5K9RFJ5WJn/q6cbZQwvMzsJKVr4q1ew46E K3VfpQam5qSIfOz6txZ7NmdJ/9r2M7bO3GF7MlkY/zpscY7os/yxzuT08dEm Cxcqu04Ft9ky7ZFwYUBF+0eDHwqfjlvn2mOGr7CMbz0vavJ8SJCZt/DsBw8S 7lS8KMz3VbHVb9eyp1yV9wHjv7ntzj+aW14Sjo066XllkU70271Kf7xx5F3R h2l/u1HS+KO+t4WdQ3LHzo++L/oZ7Uo/23otSPRh2s9fX2zdJStA+PCB9a0N DIJF3zuhSpq1/yPRh2lf2Xbr70kbQoXtvt7d8n7VcNHf42T8tGFspOjDtI9v uf/YKefHwhalDjd3bBIt+t8NMklOzYkVfZj2l6Pcj9qefCK8I3KM4ynnONF3 eXsgd+xPCaIP037AwKiHDWPjhV9dmFzVsUmizCe0h5nvmF+Qw8j5/3DpIzvN fav+Id/rjW0RS62u+Ai/Gjo7QPc0QJjxov2+4fCbmzNLX4sSZn5gvmE8w/S/ NiTb0n95mvjL+guznsKsjzDrHcz6BbMewawvMM+D+ZLxyvzE/MbzOlznh0+b DsxU/59+fOEv8w3PM+vkc/9zpdT50ednXYa9RXJP5keY7wGm/cJafVpnF6vr HUx7GHthnjfM/Anb+NWwrFkl9IP1zmd7nyvbV6jrWYxLg1+7jclS3IPtR1W+ GKrEN+/fpNXO9/PlzfW3vu8V3tNobcT5rLmbhCNHP5u65N4h4dConQE/7fYQ 7mV70n1Smz+Ed4+ckRiceUfY12VRUC/Pe8IHo3ULzpcPEu7mMGDWnPkPhZdu 95+3ou4j4Srmo2Z0XB0mPKhP1Lf9TCKFk1Kn2bzeGSVsXJg659OescIx/l3a J4yIEy4a+brTsxYJwgOP9TzjE6nydNNSFwLPJgmfW92/7YnpycL+5Sp0vNj1 qXC98Rantmc8VWYXb7ObXSlC6fJL7fRmVVV5lzijc/u804TXdRppsnRZury/ TU3uVu7WNlVJWNfj1L3cMHW9Xri+7ACzh8q1NT2XupdJF/1DnjXbrxqaIZxd efyJse9UrrSrwZlpoVnC41Kmtu7xc7bistktPe2b2/L9Zx0Y7DfT4Kis/2a7 V5RZ3iD5Bus5+jJ+9SzjV88yfvUs41fPMn71LONXzzJ+9cz4Zf09ZjRrUWkD 9X2w3v6Q2Ll6rUOPZf1lvDdOy1zjNzBF2mvjCa+W88tapajvg/ENE0/MHXcl wsnxlrLOoO0UG1/1+Y7JyHCNjT+uXF+w6scxeefEvonr9jc2Dvj1A3vrOK/L 612YrPT0f3ez0sbHypFrNWuvGp+ihH1asHtUQz/FS3njpfvumZIS4xmUssND OfCNg6uDcZbSt+Oi0W5hh3T0d7pBt7RNnc8o+XOajDK5k6U0T618MNHmvMQr /D/iKZj529J2+mkPt8fKmX5r11azSFGuJqfWvFo/WuKvfU4dbuo6RynxMzvc 6+CgxmO2efumTnbLlvWJ+cyy8vX0OYmPde3vbh6kG+3S8/PKy33qGalsa3qu zswXocJnTQt6XPB7JMx6Rn/VvjbZ+ebCQ5FHWKZ9dzo2SHhxXJ/V2dvvC6fH 3bu3+Us/YeInmPWR/k826brAuMItkZs3udB8zdSbwll+A5xb2ZwXTnhg1cbm wiVhxofEV/rnu6/KzpN+n1xQv08X6+QK0V4yniSe0ssLM6cH2x27JTyn3OL4 /cW+0l7iJ738t5H2ARX8/NX3e9kna8/OYGkv8ZJe7jpxWPKwF+r4ezI7NGPK +3Wd9hIf6eU/GE1IrFnhsfDFegnpLS9FS3uJh/RyS+/Z8bF1nwj3f2pX8H1i nLSX+Ecv39nt2oJRe9TxfcbrxyWTvlPjH9avN5Mmhde/Hynf+6yr4Y9nt4oQ vhdlZHq+aqjwZHun1rPOhQnzPdGfl4v/qjO/BIvc6tV2gxf5gcKf9zA4tvH2 XeEBaysdzi3tL8z3BPM90X/FuysGrQ29LfKzxXHOX7bWCc+r6BB4bc8pYefq ETGmQzyFiS/oL2jC+q9sgj1k/qi7LKD2Ly1vClt3nLy43Nj7ws2fWdkdrH1b mOfP+sHznpl5b14Dd3U+dFiyZVHzH9X5UOIH94SgSoMeSH/3XjxP9rwVJDwr 7IbjwqhQ4aCOXZ2ufxUszPxLf/OrGvZZMjJM5GUurVda5EcIH95lmRFTMUa4 36SiM6uvRCv+bxpecricpFTOuZfV6tvID/wj3sSfQJ/ADMMO6nyeabErp+In z5Rt9UOcOr8KUuPTuGs2OzL8leEjFho0TU5XIn5rd/HwgwAlLtogtPLVdOmf 9ZH+urqEfZviqa4PY5o7L8jenintWT+RH1kek+7bJ0tZdX5paIuWBxVP8/q+ d+ZkS3wp7+9Wx6nzkyMlPvXa7FUcONVP4s24zg3a2szVKQOUApMjyzKVbb+X /mK80VXZ7xK/nrvS0mmVe6Z8Tw+9O98+XZChWIzq32DUbS+Jb10G+8c1sHKS +cxjc7eudnVXC9+zzBldtihYedJrXvW5FmmKTevxpw5NvauMO9H+q5v1M5TI 12aGE2aGKd5mPkeSg5/K+OgfktY+fcQVHfEtTHwLE9/C6N9r+CChdpsdog+j D6MPNz+X3TfWJ0bdf3voLJu/ThAOdPr5dXS1p8Lzln7tvqv1M+FKI2uNHtIn W/jRvuzVBqdyhZtuGBkedSVfeImdh6nH7UJh71n11joGvRCuam0fOS+6SHhq /8T2g1NfC58xG/hz04K3wsVNTsQUFxd/cH5FvIJ/MP7B+AfjH4x/MP7B+Afj H4x/MP7B+AfjH4x/MP7xfeMfjH8w/sH4B+MfjH8w/sH4B+MfjH8w/sH4B+Of 9vyQ8Ym/MP7C+AvjL4y/MP7C+AvjL4y/MP7C+AvjL4y/MP7C7Ccvjmoc1qhr jvgP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+z7npWmPXqlzx H8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/Ddu23J0We888R/G fxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfwPcT6x265cgfgP4z+M /zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+b/ikXWjakELxH8Z/GP9h /IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/O+59Hz1idufi/8w/sP4D+M/ jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4DyfcnfBySHbcB/dT7D9WuzU5avhJ ssiN1z0bccU4Tfj69Avv5ptnCpse+uNRtWM5wit3NDbJOp8n/MB+3Zr7NwqE 6y5Ii3D1fS48d/KwdqvDXgpfGXZu3YSEV8Lle9SINs96IzzGZHnHaq/eCeMf zP5Ie7/G/oD3DRN/sx/g+5DzNf15ymeVEgvHReUI37ab1flBwzzh75PSlvac kS/cdsS8i2fdC4QT/8jJ/yKzUFj7fWnfhzY+Rs73BvO9wXxvMN8bzPcG873B fG8w3xvM9wbzvWmfP/EVz5f4A/9Zj2HWJ5j5Gmb+ghnP3HewH+O8n/0T94Of 5q/eUj4oW+47uA9gP8Z5HOcFXaIOzDk78aTsX2D2gwsbRXds3OuC8LZlP80z 7npYx/kI7WH2P5x3IIeR8//hZS4jna8Gx8p9zibd1iNfFsYLR5zOLapumCTc 8uDo4dmVU4Rtt3q6+dZOFfZZ2eDt0abpwp9/99PIn9pnCM+YkPz7xO5ZwuOO NjWo3zRH2PBX6xMVWucKu+/eYP2iXZ7w8C1XDZM75wu/dMg4GfxVgbDLCuOx Xr0LhQcsGV769MDnwllz15zeP+yF8B6bi+M2jnwp3HN8Shm7cUXCSSNqn50x 5ZXwlsFDJljNfC1s1ntluV7fvhGO/vL0OdNFb4Ud2sdNrGf3TrhNy2rlK6wq /uD+7cteS7YpN9LlPID3g5zvnfHL/MN6AnN/x30b7dlvcZ/HfThMe84vtPv3 /+x9FvONy/Zm7jsbJcn8wvkP8wvM/AIzv8DMLzDzC8z8AjO/wMwvMPMLzPwC M99/7P2Zm3vR6Ob/m/uz4KtRjX2KzurgB73WbA+946bT3g997P1PSfc3/L/u 5tVqHTmdI5wQeyG0Svlc4ZzDTtY18lXeY9HlcweLPGE3ozp7fu6SL2zheXVk 4Q6Vx6888KhoRYGwQfOeu755pHKVtIY1vvMqFL7seDP4cZ3nwqxXMN+/9j7i 5RmXbWP/F/c7Y+Or+sYOTPngPmev3VizUZ+p52OsF86+VVc5F2TI965dL7jf kPN4/foh94n69QNm/YBZP7T3J9r7I+15oPY87mPvh/BH1hO9PZ+tj+67cv0l 4YOjDPcGjd2v+//9/oZ4lfF+PGDH/rg1T+R8uXHXzRZDdsYJL2qZfbjZrwnC R6xNXIcOixcmvqW/3P47XjUflyhyXa2RRQa/JwkbfeLxdfTFFOHenQuGl5qZ LEx8TH/bm449FrPwqcgnPa/r5uGVKnwq+cc3jg/ShWOrX397ZWWaMPE1/ZmW bjRq94ZnIn8dmmA1PyJDeOjtAb8PTsoSXpXncHzB7kxh4nP684t/ajDUJVvk D8Y9sq/2fY7w0hGftDH4MVd4W+rRNtXDVDnxPf2Zx4WHGUSr7esP7hqW6ZAn fLvXtz9FbcwXjg6vsCYrXpWzP6C/te/ngeinavvvvvzV5P72AuFq7QPDLzsV CpvcnRdxP1OVs7+gv9Abvzl45Kvtr7YwdHDd/1zYpmGnto6HXgj/cPlh26NF qpz9Cf19cbp0pGOx2r5irZmP7Y+9FD772d61804VCfse7bxudVmV2d/Q3+Jf v2k/v9IrkY8td7/dhAsqG7x7FTnI87VwbadfoiZUVZn9kdyfbfFbP7jWG5G7 F5qsN9epbJk5uUPTO2+FZ69926FLA5XZX9FflZXtYpo2eSfy50k7oqv6qXww 2vvn4qBi1b8l0zZUa6XyP3ufw36L+XB9q7yL4TNV3pMRYh49PFfasx+T9XTP soLBx9X1wGLcGFtLpzxpz35N1tdSRZ2uZ6n6Bj6Rl7we50t79nOy3i5YuaRt J5Uvd5xc2NG4UNqz30M+Mbr4vIudynN/izc7avNc4knmO+19kvZ+raT7Hm2+ gfb+R5tPoL2vwr44++Ev5lRWz3uJN4kPYeJDmPgQJj6EiQ9h4kOY+BAmPoSJ D2HiQ5j4UGsv8Qr2wtgLYy+MvTD2wtgLYy+MvTD2wtgLE6+Sv0M8CxN/wsTz MO8Lpj/yf+gPpj+Y/mD6g+mP/CH6g+kPpj+Y/mD6I/+I/mD6g+kPpj+Y/shf oj+Y/mD6g+kPpj/yn+gPpj+Y/mD0yZdCH0YfRh9Gn/wq9GH0YfRh4jPicfaL MPtFmP0ijD77K/Rh9GH0YfRlPtPrw+jD6MPosz9AH0YfRh9Gn/0D+jD6MPow +uwv0IfRh2nP/oN4k3hf8v/1+XqSn6utN9DnK8l5pl4u5wt6Jj6G+X61/ZHP hD0wcvKXYPKTYPKPYPKL+P/I+f8wctqjr82flvND/f4E5nnCkj+vZ8mf18iJ H+if+ID+YfonHuD5aOdj7fPUzs/I5bxHz4xHrb7UJ+n/H4xc6o/0chg58x3M fAUz//D8YeTML8hh5Np6H54v3zuMnOfJ8+b757yS/H3qK3KtBt5JXZgn55ec n8LUfxAfcb5LvcbQChWSG1fPF33yv2nP+R3np8ixB0Zf8mf1+viHnO+B90F8 gZzzYDlP0zD/j/NomPNnmPNrmPNFmPNDmPNBmPNwmP0p8w+MP3IfpJ9v5L5B z/hHPQpMPQr7VfqH6Z/9J3IYOftJOQ/RM3L2h8hh5Oz3kMPI2b8hh5GzH0MO I2d/hRxGzn4JOax9vsyvPF+Y50m9DUy9DfrMx+jDtKfeBqbehu+dehjWD+Zf OQ/WM+OF+hfGG+OJ8QtTHwVTHwUzv8LUR8HUR2nrVbAH1tbPcN7K/C/5k/rx S30YzHk666nU5+hZW3+i/X/sX6V+jnxGff/a+hnuC9Dn/Bd9yVfUt+c+Suqt 9PdX6HNejL6cH+vbSz65nrnv4nvg+4RZv2Bt/Q7xH0w8B0v+vZ618RnzO/YT T/G+49uVmtVjU46sx6zXMPEU39OeA+uOnglQ4y3a8z11T7m1ztZEzW/h/FHu A/TM+qy9D4EZX+zH2T8iZ/8Is3+E2T/C7B9h9o8w+0eY/SPM/hFm/wizf4Sv lkrduthIjSfW3vWqWaemGj+scfJ4UM87QeKB2YnXjJeYxiva+uB/V70Tz1vb 39dfDoy5vDhH6Tlu3dvKoSESP/D/T9j3q27/qxpfe5b9ea3rxXwlMH3yZ5ZB Ccq+QEPzvI4xSkGs7Zhr20J0vRzfjm3vmaccDirt8bPR+/nRJ+9ObNpSZUGX ukM6zkhSDPoedc3/8fBfrp9a5LJu7Yb4JGXUkgHj+7l5Kl3edSpzPjVJif6x 7EHj52q9wZ/VV724lnz8bMNkJW/p4hHTa6r1Bn9WbxUyulvLooIkZcet6Vu7 HA1Slox/mfFF7vt5836VQtcwtf2f1WPdHN7s/unlScrVOltuDzJ+pDydX8qh hXmSErS18KeKQX+9Xovxc6LCBtf4HdFKpbmGzmdmJira+oU/q+cqatay1Vnb OOX+iQZJbuZ/vb6rpHquv1qf1cWl2KvA0EPmI+tHPsM3ZQfpWp97dSXTJk8p U7aJ+csaEbq8tAZJTYfkK4MS3vSfE+sv8fLl0itvbX0WIfuPcft723l3T5T5 mniT+Uhb31Xk6bo8/JA6n2vrvdAPy1bK22V6fVD/hby8e1Uj62qBH9SDjTxU ppLl5X9YHz6yPoz4xS3TvtKa3R9fL6atByup/it0T8A3FVbdlvWD9Wera1KN AZVyZX+yOXPv8f6d85Xmt68OOHzZUzf1h10T+hbkKPNWdCnV91SC8r3BZAuD oMu6hlnLpn56OFGpXdH6dGbNX3V2cV9vsBmbqBxz1lW76+Wu6zJ51uNSfVLk /dR50u9uVLj6vmo8HD/Cfdv7/cnCnZubBJ1QLnRwjiy4kajs2G813GfQY6XL QcN207YnKgtrzNM5tIj86Pq0yfuNthaYPlH2tvRq65GcqLhHzu0wxfeQzrDK Wb/l1jlKuTC73jUW39HV69t07sptucrQwHdPmzmq57n3s+IWGjxIFHu19Wu8 P8knaNRxw67ZsdJ+8I5uYQuN44R/sT9oYtFaXT9XFK+s28wrXnhx6ylrfuj3 D/stTf3bH57TRm/0T5T4ucf8vYvNKv/D/k5THxd+quumOaaJSp1fG/jfsjwt +60vO09qPaTveZ1dhzGX3dLV/Zj5F/tnP2yonn8s2zC8ed57btLbYb/VzrtK j12XB7x7v14aJHgke/R4oGxablA5pEyCnF8MjegyrM3leKXS42qOLkvilBb9 zHa6Tny/fu58Udu0KE7il4AVAQdMWqv5Szw/bb1mWaucvbU8TsrzaTw8Ypnb 524fjHfqF4mH6W/T4UpZpnOuqe2P1LKfdfWG8Ktt9X5x2XJXeM02p+Flku4o /2x9HPEy///G0GbHF1UPkP7MLU7kfXo9UPjK2gZufxSGCP+4NvKnBY1VJt6m v/rTD7dt3jVc5NbTk62WfhohXND7VHHrZtHCV3vPjYoeHiXM/pb+vvF3b+CR +FTk64b5tnsyLFX4Ufe26z3HpQt7XK+81DE7TbhaqVWr7JOTZD+8ta/15qZn kpQb+69XupR9Tva//L+yJxf6znv9TPSbmDhG756ZIbyk3vOOCxdlCY/eH9po 8Ccqsz+mP6v+B75yrJAj8qllT90+2lPl8m+fLNjVL1d9390DUuyNVGY/TX8u ZgaO82rkifxsQZV6Pw1ReWxGH5/5w/OFB5l07DGhnsrsv+kvp8mM1EGNC0Ru kLR00URrld2j3OoPmVgovK/enl3mLVRmv05/Pavf69nU9LnILUMi7naxUfm5 b8UlzWa/EE6p+CqtaieV2d/T37ZSJk7FX74U+UHv7sbV56s84Or8+wZLi9Tv 99WkXpk9VeY8gP6ic7c/i+z3SuQZ51yWZi1XeffvwQ2j7V8Lr027uefeEJU5 P6A/k/j83peHvxF590Nl/O6vUzlpn7mtx+a3wqERzTKPWKvMeQP9rQwas2/n xHci37RjduOjO1XuuMH5gePeYuGm9zb2tbdR+WPrXwsNl/SpWeX9/Ol6+64y 1vuj62FdmpZZ/3V+kpyHlH7zZGI5ryTF2696wbqMj6+Xtapw5VHRlCQ5H+k9 NHWVzj1JCTNr9omZZ4hSbLxtxIomSYpLXpvjs7r/++trA0f6DnIdlqhcHDfF xrJ/lHLJqvzBHa4JSnCvGcf7hcQozQrn7e46KEHZNK3C+IHVYz+6HrdKWac8 wx5xcp5Rfv36ha0/j1UWVKpcx2lyopLR4P7cGk6xyszya2qvqPJ3/e7f9bv/ c/3uX63X/VfX3/rX8ryyrNUM3csU89Ity+UoZo5FC2+NeKhz8fvF9vSCPGXf SvdJwZ0CdNFWAQ+mNctTWryIWbItO1HuPzjPsq0e8mP7V+Ef1O86NzM5Yzbz iZzvnby3ybXlrL1yPkX7xXaVVuc0Ue8LfazNjF6fy1NSMkK8V0x4KOdb7wLv jqpilKzMzV0a6mvqrdzd7RJzuUaysvyM80nvjQ+U3qaO7dzqxis/9L6W4jUm Xvni5jm/Q73P6b7fs7xnxNEcZdM222fDgh7pCg42uPbaMF9ZucfGbKT/fV3L RrrDkyNzlW4Veuyt1vim7tmFxnMDe6vnW8TvnLfAnLfAnLfA6BNfow+jr63X hYmvYc7H2H9yPgZzPgZzPgZzPgZzPgZzPgZzPgZzPgZzPgZzPgZjL/tj7IWx F8ZeGHth7IWxF8ZeGHth7IWxF8Ze9uvYC2MvjL0w9sLYC2MvjL0w9sLYC2Mv jL2cF2AvjL0w9sLYC2MvjL0w9sLYC2MvjL0w9jJ/YC+MvTD2wtgLYy+MvTD2 wtgLYy+Mvdr8FM5bsB/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeznfAj7YeyH sR/Gfhj7YeyHsR/Gfhj7YeyHsR/GftYP7IexH8Z+GPth7IexH8Z+GPth7Iex H8Z+7e9zavNZtOftMO0ln0Ufn5FPjz6MPow+jD759+jD6MPow+hTj4A+jD6M Psx5jNRn6c+3tOetnM9wniC/F0p9pP48gP0/cvbvcr6l33/D7J9h9r8w+1eY /SfM/hFm/wfzvrX2sr+C2R/B2nwd9hPE39r8Ds6red7aekjiDVh7H46c8cTz Zzxp7dfGF8gZXzDjC2Z8wYwvmPEFM75gxhfM+NLaJ7/3q2fma/zVjj/uC3i+ jEfuR7nP5P6e80vq+7T5K9rfy0Sf+1HuT+mP54992t9rkXxqfX/Eu+KfJt+G /hkvnB/wPmHs5/dI6Y/9NN8DjL38fif7Tb4/mPmJ/R3fEyz1l/r9l9Rf6hk5 +ynkMHLqKfGfekqYekqYekqYekqYekqYekqYekqYekqYekqYekqYekqYekqY ekqYekqYekqYekqYekqYekqYekqY98/v0/L+iQ/4nskXg5mfyE/h91jRZ76C GW98j8hh5MzfyGHkzOfIYeTM73Jeo2fkzPfIYeTM/8hh5KwHyGHkrA/IYeSs F3I+pGfkrB/IYfGP3xPWzwfk+zAfkJ+hzfdgfDKfSL2Fvj/y92A3nW+ZCZfy RZ96C/Sl/kLf3sB2S9PdY1SeYGLZz7+oQPSpv0Bf6jH4feAEoxnlDqhc5ZeH DkpPtR6DeEHyCzW/Zyv1hnqWekM9S72hnolf5PcU9PGD1PPrmfFBfh3tWb9p D9Oe/DHmT94n86f294zJvyF+4v2Q38X7Yb3n+cP4x/Mhvwx7yBekP94v/rC/ ZT5lPiCewB6+L+xBn3gAff4fcvajyHk+rBf4g/8w9vJ90R/zD88fxl/mK5j1 mP/H82L8aPsnHoP53rCf/rT133/nO/21fKf/2+vf/935UyXVx5eUX1VSfpQ2 /6mk/KaS8pdKyj/6s/yif7b+/mPzfUqq19fmA/2r6/eZP4hntfkJJeUfafON tPlF2nwibf6QNh+o/ribnfJnqOfx2npvbX6Vtj60pHwf7e8DaPN/Pvb3ArT5 QiXlb/yfzicqqR5eW0/7sflC/1X5QdTv/mfzg6j//W+fH/SRvwfxr87/+Tuf 5+98nr/zef7fzefR5ueUlG/zsfkzH5vf8rH5Kn//Xsvfv9fy9++1/Nf9Xgvx htznlJB/89/t91RKygf6d+fzaPPvtb9fU1K+j/y+2okJV9cWLtFpf99Kmw/0 HxVaPUc= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdsllUUx89tC91S+pa2tEApXdDSUlqgFAFxK+4CRStDK1SpCsVdHODC +kH9oMa9947zqxr3whkljjgSRzQajUajcf1Pzq9J3+SXe5/7nOc+5/zPued5 a/u39GzOMv2SWbaGQ8VCMUvcKH4Qq8Thols0i0IxXuSKo8QiMZtr38v3WS16 RR62iXt7iHxRIKrEJFEuKkSpyIhjRZ8oYq2Y5zKME8R6sU6U8PxEbH3fcbzz BNEvynimAN9XiB6RI9rFUlEnThQDolJ0iHrRKE4Wg2KK2F/sKVrFGWKJaBNn sY/vd6mYz7PbxLBoEHNELfv24otrthktpuF3Ib4OiWpRQ06a0bAbvbPRdTwx Z7Hf6HUBWreQz0TcuTw7T3QSez7autYziKNujO6l6J1By2LWJkI5uRwm7nqu Pa7J2FZgV05cVehdzT3XYSr2g8Rdjd5taDeETlVo346/tWhcT84r8PVg8jKX WBuw30meutBlFvplobPrc4Q4BP2y0dxrZjH5r4U29tyLHNejXSfre1vUk+uy r1jGvQK0dI0PIB917LGYvUfwsREfF47xsXuMX4vwrRW9/Nk+9i/ExyX4s49F fc5Ej1rWO4ihHt1Hz+U8/Haf/UxttDgjS9HXfT6QfX3PgyzOSSv3l2PjPu6H ny1o6zF5j/Dz4HV5nliJjcd35Bjde4g3l3ke4wrmK5nn4Iv7tIC1Vdi4foeh 33J0r0Mj98F7ziX47TWzXRxn0We8L61l7v3tGOyL0LoQvfuwcdaxtobn3fZ8 cTT+7BAbLHpUL/sWce11nMF2Nfb95KASv9aPec96nstwXUb++rHfwLNl2B7P fC1xlmA3wHOr8DWPNe+P3gNPYu62F3JdydombBw/w15Hp1j00NE1n0+3qNPT LWrzNO75+kU84/ZbLc689wKvWT9Lfha2WPSLaYx+7b2jiuvJvHuINX/nqew/ yPtquL+Vfa4Xr1nUqJ+VMy36i58R72t+LkaYNzFuY34uc7ddxnUDe3lN56D3 DjT32rnAItcb0XH0TJ1tUXub0MJ16GTfBnTw3uVnrYt5I+NO1ofx1dcvZ96E JgPsOcK9LrS5GH2mqyFOE+dofrP4CX9ztHYFWn0oPsLPZq0/aXHWnhGzU8yb ND6Ov92aP2rRS2o1f9ii39wt/iLWe8U/+NIlm5eIOaP5AxZ98SrXLIWfrt8a NPxcfGFxthfo/nUaLxNXs5fvM1fj2+gzP4Wd29wp/iAPj+Cf+9agcU4K3Z4i To/rCWKbT6y7ib1e88YUdfAYMXu8t4vfyH+x1vJT1F+LxlcsetX74j6LnvmB eM6ij86UzcsWdT9D8xctevSzbpsiZ1eK8Snq2fOTUuSoTOPzFt8Sz2cNOf1Y fGLRf99BU9fTtbkWfbJk+6/Fucr1/4YpzslutPB4nxavUj/zdL89Rf29J961 6L+7xDXUntt2prB/Q7xu8Z24n/g99rfEQxZ9eYpsp6Y4D7eKXyx6lWs2K4Vu /s4O3vuV+NLiv+rX4huL78d34luL/6rfixssvhV/irss+teP4iaLXvuruM2i v/4u7rDonT+LW6i5z8SnFv+XJ+j9JSl62X8iL0Uvcs3GoZvnvJC8/y3usehx rrH/AXGdH7Soda/zghR59ZyWaj4xxf/NCo2VKXpTlcbJKf57+jfHvy/ewz3n b5L3Nt1/weKb5rUzKUX9eE3Vpagrr/Fd5Oh/YKfgJg== "]], Polygon[CompressedData[" 1:eJwt1FVsVUEQgOE5TYEEh+BQWpwWWqC0uBQv7sFTNEAKNDjBigUC5QF3d9fg GggPWAIECe7u7oF/MvPwZffcvXvO7szsFumZ0mZQiIh0RiiyByJZEUN/KO5g BqqgGW4ghvEptBUwT8d4nk5bCt9xDBPRB7+xAQORjGs4hSZojMvYj0pohF84 jknoj8y8OwuG0I/AZuTiuQZtOQj9fzRhSMFGXEUiorEDC1APcZiFbIHtrToO YBHqoxpmIp7xaf5ckX4cptKvjEz0MyJcbE3vcBjj0Qk3cddjFel7vYiGvucc zJ1NWxPDkI7nUBSmP9j3/gcDPAb5GZtDWwsjPNb7fC0a8784gcke4/SMZwjs XbrGc75n3WsDzMcVj3Vpz9VP9POcPfcY6N5b4wg+oztSPZZzkeAxjeZblzw3 uoaHSENVtMBRfENvTPBYfUBXj1nA/JDAcqcxOIhXaIexOIS36IhxuIdH/u4o PMELX2tZfPFv6rd6YDFeoq2/c6HnXPenOV4vVqPJHvNPWOVzk1CQtUVglFi9 L8UbdPA1aX+Z515/Cwtsjv53JJbjPbr4nlf6N5I8pmvxA309B1obeZk/XKxG dmueeK5DG4/XHhONRXux2igU2Le0RvLRz4PyYu94jFtoipbYizKM1xU7c6vx Fb08R7rWFejma9axNWJnWf+zC8WZP5p2jK99ndhZ1T0885xoLlqhGP/dThsr tocz/g6dm4CPYjWW6t/UuydnYGdD76CTOC9Wu4meyyW+d82p1tpT/5bWXEnm lgjsLtI1nhWrKa0lPeN6l91Hc7E77QI2id0VeqdsQ1Hm1/Y1b8VOsbtDz3A4 Y9e9FrQmYjXXgZ0lvSM09gUCO6uag9Nid57edXpn3ha7IyI9J5H8d4/nVnOS m+ctYnebruGBWM1H+Zr/A1fwp2A= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHe0VsUVxd+MaSakaEyvpndLZCUGTaKJoCgKSEdAeBSRREIoFqoIgoIU kRKKgIooRXoHKQ9BEaRFIfo0MaQSk5AeTXP/cvZd8/7Ya98795s7Z5+ZOXvu d3aP/q1vyjU1NQdTTc1p4n+JP6mGn4vXCLuFOuFdamsi/pZwpq4vEn9beLuu GwkX6/q94r+Jnxfer+u/i+uFD+r6H+IXhQ/r+p/il4SP6vpV8U+Fj+v6NfHP hE/kiONl4VO6/neKeD6j6/+ITwif0/V/xb8QvqDr/4l/KXxJ178W/0p4QbhU aCm08vV3hNbm7wrXmi8T2pibCm3NzYR25suF9uYrhA7m5kJH85VCJ/NVQmdz C+E689XC+YrzPOE3uj43R4xdhTHCQGGQ0K1B7N0dN/HWOlZi7OE27nu6jXh7 O1Zi7OU27vu4jXjHepzBwg1uI/bvC10cz01mYulvvl74gZm4brRO9A1wWw8/ b+W4f+i2Wo/Z03ENNhPvEDMx3mwmrlvMfYVbzYz5O6GfMFQY5uvvCcPN6Bhh RsdIMzpGmdEx2nET4x3mgUatY73TsRLjU8JGYZOwSlggLBTGO27ivctMvL8X bhPuFib4mpgnNoj9HjOxTzIT+2QzsU8xE/tU8+3CvWZ0TDOj4z4za2q6mTmf YUbTTPM4YZYZHT8yo+MPjn22MKeBjrlmdMwzo+N+Mzrmmyc7T5OtY6EZHQ+Y 0fGgGR0PmdGxyIyOh83oWGxGxyNmdDxqRscfHfsSYYXjI66lDTQttx50LHPb XOdjiOd1pfuhY7U1EPsaM7GvNRP7OjOxrzcT+wYzsT/mMYlpo9vQscmMjlOO fbOwzfER71Zr4P5xt/G+HdZJvNvdxv1Ot7Fmf5tij7NPdrkNTU86PmLZ4nEZ Y7d1ou8JM/r2mNG310z/Or+PPuxX6go14k/WsS/FmmX/DUhlb7NnnrFONB00 owMP+qb4G8Iht6H1gHNBn8NuQ2tV06mPxxwrMR43o/UnZvb0jx03Wo/4HeQG v8P38L/nrJ934Xt4IF6IF+E/1Hr8DU/DP/BAfA+Pwd/wNPyjqmusKzwQ38Nj 8MmXHDseiO/hMXggvofH4HX4G16Cp1Fj8YnK21ql4m3c45n4JJ70lxT+TL9n rRU9R621LhX/a5OKt1VeB7dPxec6+rfUyNpUPK9TKn7Zzujl3+F7eF4Xx4gv dLcG/KWrx671s8obBqfio509Nnnsk4pnDPGYvT0e/annA9wH32CtMTa+wPo/ mWI/9EvF83jGWabeee3gMXhvVcvmW2dfx1H5Yn/HPtBjo3mQ76vzRNtU/G+Q 9Q9w/8priWO154S5eSWF5+Ef1Cf2/dJUvG1EKv43zO9ij41yH2r13an438hU PHK4xx/tPpUXjnaMeMRY53ec78n3eN9XnjfeOse4f+VtE61zrJ9VnjE3FR+a kYq3TUnF/yal4m14w/4UtWlrKv43NRWPnJyK/01Lxf/uS8XnZqbic7OcF3I6 OxVvm5OKX05PxZvRU/n3hFQ8b14qnnd/Kn5W+Ru8MBVvezAVP6v8bZGfVd7G s37O49BUfG6xx6O2L/d4K3zP+Ct9zzpd5Xu0sV6WOI7VflZ52OpUPGxNKh62 NhUPW+ex8YcNfhdzsTkV39qYiscvSMXz1qfizY84lq3ujwbq/DZr2O57NOzw PRp2+v5pj7nFGnb52TK/g/dSB9mT3Tyfy/18sWrPwzm+M2p8BqceUFP5duB8 Tl2kPuIJb/XvqBHUUWo9dY56Ty2mJlGbqbPURX5X4/pWeRiedo7avux34QPU d2oqNZ763tw6D7kPOg/7Hm1HfF/nuI4613gXHkYdf85x40/HfN/C2tBF/Ug5 1tRm53FfKv69x7k86vE2+N17nVd0HHDe97v/VrdxT33Dy6j9eP2bcozDGewN Odbgm3P4EB7EN9pffY0vUXOpt392f2J7Y47+rLVrdN0iR7/qLPL/s4na1gqf zVGz8V088DHdrxA+LawSVub4jlwmLM3xfUmMp5wPYuS8O9t5eotzhZ+/an34 Mx7f1Fpfs176nZajlnDmzznq7ilrIH7OAng8/n6b52Oo+9GHvqfnqPU87+f1 RF1/W46Y6ENcJ/18CznO8R1MHC97XbEWWa+s1bP8nX5JivV+ntfnK34v7+Qb vpG/7d+R49v+YufyAzlip+2dfg/nonf7bNTIv7/E12f5bHRGjnMbv2HO35PL PL/Pc8XzM3y2IzcfypFj4uOc0NX5/kiOeWCvMJ8nnPuzvZ+Yn4/lmBPiOtMx sEe/mGMPsJfP8R6s8X4kH+zpz+fY043FX/UZhT3NmiKP6P6KNbJXTzjHFzkX TdyX3F6T4h2s05Ze46z7S1PZ88291uu9Vqs9QFt1TmUPV+fU46nUnRZeX6d7 jTX1Gm3md73oNXaZ1yvP6/Xb3jn63SoMdt5fEHp6bY0RRnn+RvBuz/FJ5461 eIHzg8YLxXc4J008l5zPrxIP8lrht439e3JzfoPrxs7z80L3HHni9xc4d+e6 PzncKN6UY54413Jmor43031zv/M68aEcteN28de9BjqJD3if3ykel2MtdhD2 5agv6B5t7dOFGTnWYhtht/fnLnGd180k4Z4c/3VNEabm2CfthL056kEX8ZEc 9exr4lu8F1qKe3jt3SUen+P/s+udC/IwTXxvjv/PnhB6ee525uhPX7R2tl5i vNZxMn5bx4C+9tZIDjo6D88yVzn25THx5Z7n4+IrctSGZ8R9c9Sv9cK6HP+9 HRZuzFE7nxZuyFE7+1sD8ZP74c7/k+I+Oepcrdcc662rcDTHvqq+J6npzOfV nlPW4DCvw0eFJTn+o3xAWJjjv8OHhEU5agF/aF7oNTlQfGWOejZbmJOjjgwR RuaoOeS13rmdLyzIUUfmCXNz/E85NMf8MXfbxI/nqCk7hO05/necIEzMUdda 5cgp+WydI6fkkzw95VyRjz3OySxhZo7/R9mXN+fYm91yzBNzRL4POufMyX7P y+siueUL "]], Polygon[CompressedData[" 1:eJwtlGWIlUEUhu891qqoiLp2d60giz/UVdcWC1ddE8VV/KPuWhgYYHd3d3d3 oyiKYiDYHYjdrc/LmR8P77xz534zc86ZUzwlLSnVIpFIMqSHmpiZkB++RiOR FPQmVIWX+OZoGnxmfAeOMj4JleA5vhvaCzKFNY3RvpAFXuH7o80gB2SDwTAI avFbTrQaDIDskMDcDHQOFIB7+CHoUPO1tfGT0emQD+7il6OroRg8xPdAe0MM RGE4DAv/zYWOhlFQB58bHQNjzceJzI1AR5qv1Zoa6BTIC1/wU83PoL01Vx3G Qx74xFxT8ztnC3caB5MgFm7z+0Z0K5SCx/ieaB/IDAYH4AhUgGf8vgbdACXg EX43uh/KwVP8InQZFIEH+LnoQigE9/Hb0F1QBp7gJ4Qz6Sw686Gwp/Yqj56D NvAGnw49bp5z5boiutI85op1UcUVVpiPfzDXAD1mvvZf1GupEbSMek3d0ti8 luLRgdAF4kKNXIfUkIu4UEs3oEqoqXXmMVEsiquOYDEUhu/MJaDzoCB8w883 j4liobl6sAfKwh/mEtFNUBJ+4eujB81j8Re/1zzmirX+0xrOhlwpRpvNc6pc 6hs7zGOuWJdGl5jnSLnRGVuEGMSHmNRFt5uv/Y2vg641v9vPqNdyK/O3FBNi cRoqh5i0hfPmuXrLmn3md9DZVSOHzXOiXKim+kF387eRFSaa17hqOzbUYhK8 jnpNXoDk8O306DXoDB/wH+EK447wnnFG9BK0h3f4DOjOEHPFWjW4xfzOuqve wHrzHCj2qvHZ5jlU7tQDOsBl829pj07oVfO9dIZ26EXzs2lP9aKu5m9RPekM nDLvZYrZCWgIL6Lew5aa17BqV29omnlPVC9Uj1kQaky1pTe1yjxHyo16zizz nqVepR7aJMQ4a4jhf3bhqsE= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHncz1UafXmebC/S22jGMpbemiyFJkWLMMmkKExNRY3JoClF2otIC20K RYv2EVOWYkiNmGRithoz7dPHzptsEUK2zplzfp/XH+fzPPd77/d+733uOc9z f7/GfQf3HFSxqKhoWYWiooB9PYuKGgKXobEYWAK0BE4GVmDg18Ad8FfCbgRG wF8FuwkYCX817GbgXvhrYLcAt8PvAZwG3A+sxbOtwIPw18NuA8bA/wr2W+BG +N2AnwPXAm2BNsDNwEXAKcCtQHfgVGA0sA7vfQO0hr8Tdi9QDX4CRwCVuDmg ArAPfbuA74D9truBYegbCuyBf3pojoPAIc/3fUXNQcs5CnNxjoohewA4M/Re +PuFObiOQ57jYaAM/nZgPPxxoTnOCr1XBaga5XPwmzu97sfQ3gC7wzHkvrn/ 4sP2eqTfZwxq2bK/A9AeqA6cDdQAjgIaAHWAukDNw75f4jF8drQt5/6RLed+ zX0/Bp4HrgTOAaYCU4D6QEPPXQ/4A/BLoDPwC3+/NvAi8Bugk8+UHCFXJsKf AFQG+gBdgBbATGAG0Aj4GdAYOBY4wbYUmA3MAo4D2nlfNdzXwOtqBhzvOZrb co43gblAkxDnyf0V5jn5vsr8pw6oB37zp56XPCf3qQFqaLHnpi6oD+qEHCD3 qYHL4Xd0POd6LNfAs6YmqA1qgtwnD6gDcp98oA6oLfKYOqNWyOeBsP1C+tlp /u41h/a5XdAA2+T+fmthrzl70EhzscD7oijnPdtnhPwDh3G9wFuOLfC+kjna 0Ryq5Xmr+mz4TjW3Oa7Y7Qn2K3lcTZ9jVfOwZpRzne329os9rsQ8K/C4JMp5 zPa5Ic5SA5PNR44nt4/x+GdCHOf4cV5LBY8v8TjmMWqa2r4Ofv8Q1+uYF+RH XfOO7Sn267mPHGrsvlK3Z9hv6D7y8/go5zrbs+yXuo+cbhrlnGabumkFnOS+ FvYX2+eYpSG+ngcMBgaFcj813clr7+pn1APrRDvHmBwjP8mvnqFcXOAbufqd +Uau7jbPyNU9tm3tD4G92u2LQ7mYHPxViGfk2K9DeZbcuTSUN8kL5o/Ojmev UI7jOVY3J8iHq0J6Y/vCUJ3h2if5jMmJK0K5qbZj09Tx6ezzZE7rC/zWcV3k mDX3+C6O7fDQurnmen6f774EPBfiXZlzwXrr95pQPBiz7o7bANgLfH5nOi4H Hcsejuf1sL/z+fwVON9rYfx6+ixae8/cL2N5SUi3HRyX9gbjU8sx6OUYUrO9 HZ9zzAnygTXooVAdYrwvMx86+Ty473cdrz5eVx+vrY+fd/F59zMHunov5Fk7 n3EVx3uA49DF7VY+k/6OLTU7LaRHnm0375ecGujv8F4xxD77bwpx98/AXV7D Gt9jVvtuMNznSF3cACyH/3aozXUOsr/cOfm20PkU+lg7OPcwz//7UI7g2llf 7gxpirn9Fp//St+3+O4e5+jd1hnH7XLtZ71ca/tAqHZy7feF6g1r1j2husVn 7NvimFxvzlBD1FV47Ei/yxp3d6jO0Y7wPKs9L+vgqFDN2+p6Rk5wXVzLaHPj IXNlm+s6x685rI6u9LNRXhs5/L758khII8ytzHWs66zLj4ZyLmvkGLc5ZoPv SaybY0M+70tPhu4Tld3Hd8o8dqznoR6Y35nbK9nneGrl8VA/2xPcz/meCuWY +aFvFPon+jnnGO/nxe6r7vnGe853gD+GOPxKqK6Qw9NDeekntpPsP2ufeuzt Nn1qktqr5zbfKdQ45pyCdl+Ico2+HMpNk/1t5j3WG9anRl7TFM/J3PB0KB9w vVPdX+L3j/LYqX53IfCn0B2Me33CcWD/qx5DzPA3S+0fZzvT/uv2OZZ3JN7P TvT+GCPW5gUe18hj3/C7xCzPzbXM9jPaOSEu/QWYZ3+e56e/yN/jt07wPE2M uX5GbpKj5DZj/ZrjwXffC9UG5jbmF+qYMZjvOPT32dd3PBZ4/dM8D/fFXMhc c7L3tNDrn+N1F9bC7zU3WNeb2VJLLWzZbun9veV9ve++ll7vIj/nvYV8IaeY n5iLNjoPMY8d8P1xqP2P8NtxVYi3zeE3Te19OWzV1Nkshn0vdd9vAnt66ruf wX6ROsu2sGu9hoA/J1WL5sG+neL9ibBnpPLtf2E/TsVsE9Ajlfv/CbsyxOd/ wP9Xit/85nrv9+/w/5b6XfI57GrHvA38NSGtLYNfOcV37meJY/wWnm1MjVkC uzSlpbNgv07l+I6wHVI150tge0qv64AdqRq2CrY4xU3OvdRr42/xGf49fizs m6m7yXzYd1J6rgP7TeqesSkVO8btXdhFKZ0vhF2Q+n1WAXZWquavg92c4sG5 XHOoJmyFvyVVt7m/Nt7j0bBlobtIGfzuqfw8m2tP5YXefDd013gE/gOp3M+x tTx+HOyYlGYmwo5P5e7bYW9O1Z9KsKel9NEN9sJUzmH8GjuG3EeR91IztR/u pRrsipRWNlI3Kf1Ngn0yletHw96bqlF3wd6Rqo33wA5P1aEqsP9J6XIf9ZjK 9buBySkd90xxjnybCf9g6B40Df7+0P2lJBUv7v3TFF/J1S9TvJ9uLjQzH86H vSB1RzsVttTn/hnwTKqWPQu7PXS/OyV1rozDhymuk+evwO4J1XZqqKJ1dBPs 4FQ9v448Tem7FWzt1H3gyJSGyfcXYXeG7p7b4NdL1UPq43/mRmfYI8z5LzyO Yz4gl1N3mytgj0ndQfvCXpX6L4fxvtsx/wQYm6rjn8N/wdw+D7ZL6u71bWj/ 3PsOx4ux6ke+pO5ezEMfpHJRH8Y1da+6lHpK3fk+BAamctrVsANS/1c9xz2l 7s2bfcY8316wl6f+i7qY60r9X7XVvCfn18LWSNWQXY4d40aNcj/cy1z4jVJ3 6ymw9VN3r5dg66bu9w/CfhS6O/1fQ9bR46kYMT7T4TdI3Y+poSesI2rrMevr UdiPQ7WJ53ytz5rcv9/875o6M57XXvOGnGHubJ3Kn0/Bfhq6I91HDofue6/C /z5076G2nra+RlA7obvcSfBbpOrYRak8SP1yXQ+n1lYddnWqpnHukan5l8G/ LXUXZW64NZUfGJtRqfgwfi87hozHVMfkgHVIDTKuzzu2XNew1NpuSPGAHBjE +UL39H8DN6buujyrN3xeh6xzapwaGmIdMTdsSOUH5pKhqXxCvl9izt+Smpdz XpPSBnVxNvz2qd9+d6b2zP1+Rd6l7ork45XmJGvUJ6k6xTOZkDqXHwBrYp3s "]], Polygon[CompressedData[" 1:eJwtlWnQlmMYhr95r8ueXWKMH9kZa4khpU2LNkpaSPraKEqhDCGGbFEqKVQU qhE1RekTJVKUbSxDkiWmJJJk345zzvvH8d7n9TzPey/XdtetHtJpcKWqqup+ SDiKn/dgdlRVLYUm6LWMQ2EgNMRuAVejB8AP6M2M1bAcvoNmPBtU3p+LbgRn oq8Mz6U5BpQ510Dj9LsL4XD0HHgY/RJsgnXQHXrDy7xbz9gTpsEx2F/CQvQr cDx6J6xCt4Zd0M3hKvQVWgN9EQxD14MV6M8ZL4PH4WLsHnAduj70T+9Re7sB OmOvZmwfnkNn3cLYN3zm07EbwKXo2mGnbip7bxL21TdwefHZt7z/Me27XnAs eiMsRi+DE9D7Q//yH/n+JOgTjoHOtiv0C5+xDnow3IyuUTzQR5T96PynoE+F dnpH4Ouh66f3VgtaoVvDNegh0EexSp/9DPkJXQ3D0Q3CsW2azg3F+Eh0y/Ra WrM7+k3GjmGf1sY+r8Rfe+iNfovxgvCcRyseME+xhjboE/Ws4j3NQv/BeA50 lf/gF56t1Nlgg96V9Vtpz+mcVi7LRz3lb8UJOsEInQ1uR29ljZHyHdyh3MYe jr4evq/4m2Hoa2FU+NlN6BvT/9V/lBtd9U3JkVHoW9Nzjdac8gt2h7KHbumc U67pP/JFX+wRxSeDlLtaA72FOYYqNmmtPWzV3uQj9IuwXzqnlEvnw8/ofdO1 sEI5g/6J8RYYCV9j75P+7yI4LZ1DNSWnT0YfBEvCOdcB3REuQTeFJ9M1q1qd WGJxQHptxaRfOoeUOzqTcqGXfFpyYjT6LrgbvY0z3Yu+J4vm2UPoSfCAzsKz 3xmfls9KDtypWCmmFc8xVt/qjNhjsO9Dj0nPpWcT0RNge8VzTkFPTs89Dnug elG6NuTz2ei/GCfDJPgb5qZzrxHcptxJx1Z7+JdxHnY3xsaq2XTNqFZ05s3q B+la05zbYWo6F8+S/+AJ9SjGhvAI+tH03nYw/0z0b8XX4+Ew7F8ZJ0CXcGwP 5VnnEmP1wuPStaGeuCHdM9Ur58Pe6RxQ7NVz/ixn1lnVgzeWHFLuKMd2Q78L s8J3xB7o9fBcuGZXqt5hJrol7IX+AhaEe3SN1k737uawDP1auve2COeaepB6 j3JudbqmVcuaczr2Dsazw2ecptgV38lnbbHbpX2hb7qoNsO9XjWX2IvlU/Rj MAO9s/haOfUs9j8ltorhfOz/Six7hHvxgdA23JMXoQOahfvd++kept41Jxwb xWx8idHb6HfgKfTB8GraBzr79PDdtjytdcfVTe9Ze1XNLUS3T9feFHhdtQdT lTfhWOyZjq1isjTtc/la33yVvmN0tzwfjk2ttFaMtoV7hHqD7hDdvQvSa+kO XqJeAYeEffgh+oP0WZ4J58bu6bMrR9ai16TvQp25gn4h7Uv5bB36M5gbnvMj 9MfpueqE7+Y3sGeE7+hV6RxTbunZp+hP0t9qjnHoB9O1rxr/H2g4LRQ= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe8VdURhS+8d+ZQfYB0LKAoSBEQRAz2AggWwALSpBmNRrFjR7F3jMYK ikIsGKMxGhNjYoxEgqgRjV2jKPbeqIKuz1n3J3+sN/ucPbvNnlkz575Ok6eN PLZ+pVLppz81kh8WlcqRwlThKGFFbaWyRpgalcr2ZaVytd41ESpCPeE+4ULh GGGBsEq63wu/V3u15DrhLrVXSq4V/qj2RcI04SHhEuF45tP830geK/xVuEw4 UXhYuFQ4QfiTcLFwnPA34XLhJOHvwhXCycJvhfOEo4XHhVOF6cJjwpXCKcJ1 wvnCr4WvfZbGQlOfqb6wkWWN0EyoFQqhzu94buNx2KO5+0No63fMt7FQCg2E Fu7neUdhkLC30N7rMfdKbC6cJmwhtPY6m3gfrNPBujy38zqM39T9rPOdx3YS Nvc+WgqbuZ/nLT03+93Kc7GXvYQdhAFCF6/H+lu7n+eenps9dnU/629jyTq/ sN62wulCR6G70M39P+0rcp4e1tvC+2oa+Y49bOe12Usf75XnXtbtLPR1P3vp Z8leerufMc0050bCGWpv7/5utgv309D30sP77mzbYJddvDZ72dnz9vH9DfC4 Xd3PXnazZC87ea+MmWfb7ins7n72MtDnR2+Q58N+i6x7gDDUa7OXfTwvz4Ot yxzD3M9e9rVkL0Pcz5jVwirhTGE/97OXuUX6M36z2H4wXFjic46wnbAX/vOC 93GwsNRrHCR8L6wVzhZe9L4PEQrZvla4Q+1Xvb/Rwsve9yjhde/pUKGJdBsL 64rkEHgIPrrNe20lvCcsFyYJjaQ7sUjuWia8LYwXjhAmC1OK5Ch4CD76qEi+ O7xIzpvisdigje0wWzhLGFMkp8Bn8BpcMt32gMPgJ3gBboOf4BG4Cm6DR+Aw +AzegOfgnUZF8hwcBnfAYfAT/AB/wqPwKfzUxPuCP4hf4hwOg3d/qP2Zs6oc 1tRj4Ga4tuL91Vmv9B228NrMV+W5ZtbDp/CtQZ6rre1CDBGf+DHxit/29Lzw Q5WT2nkMfAYfdfS8HazX2uM7eX14o8pzm1iP/W3mPuYiJrf0O2KXGH7Gexzp eeGGKp9t5TFtPG4Lz9vFevBPd++tyl9VPutqPfiAeBxgm23u9Zmvl8/PGr39 zLzwQJWr+rivp226o+ftaz3GD3Qf68MHVQ7rZ71OHt/DcxH3xDJ3QJzCEf/1 fR3oeYn9Km/t4jG9PG5g8TNP7eqz7e255hfJU3t4/d2tR74lx4bHD/F6cNR/ hP29BvG+j+9lhOdl/WHuq3ITz6s8nrFwzgE+C+vtZz3in/id4DOO9H3DPwd5 H/DMwV53qW3A3uCZUV4LbhntOWcUGdfjiuS34T47vAU/HSa8KcwpkgPgLfgE foGT4Br4YlaRuQ0f4hkeqfIN8pdFxh4xSFyeW2RdBZfNLJJT4BM4bKrnv6DI 2oS4vtk662uTJw+xDZkLniHuryqyXsCHieWTfEfE8ol+hx5cVOM+7rE04JwG 7jvB4+A2aqeG7pvu9p22z1jhep+ffEpdeKbv8UbhGtuXc5zvs9STzdYXmRfe 8h2Msz3OKZLbx3nceJ/7PJ/9piJru5m291U+Lzl9lu2PjS/awDYX+9xw5IW+ B8536Qa2uWwDm11u21CLXuA9Y5srbQNsdoVtFpHzMue1wm+KzBENInNTa9vg Wr/nTLN9rluKrEGxzb9txzM8xw3Wn+nzHm3gB+SeGbYv89VprSc89iyvx9jP hVvdrpFOfe+J9ed4D7cXmUdbWYc2+eiHIuec5zlme57fFckLexj072l93vcX mju348NlpI3Icyv9DcD9UgPc6Xtf7e8EctzdReqstS7Pa5xn/1mk/91TZP6u 5sUFnnuB+xh7b5FzYivu81HfG37xgP0CX7jf/oLuvZ4Tf3mwyDghp//Z/oL/ /sF+hL88Yn/Bj/5iP/p/kecaax/5R5G+A189VyRnYdeFvq95fq7y92Lbc6F9 ohpTTxYZVwutj53hWjizypWLfCfc4b98j095zuFen33AiXDd037/tJ9HWPcp zwm3wt3w9rNuj/TzEu93sOes6j7recgtcPAQY6l1qdM+KLLW+l+R3F3l6xes +0qRHDfK79CD3+G7F60LB1PbTfK7lzzPS36GH4d5nqGWr/j9eI/H98gt5ANy ATniNa9bfWaON6xzqCXPo637qtvc+Vuek3ghZ8z2uZ+3zSd63Ul+t9Tn4nm5 +znTu36HjahLpxrL/W657Uj7C+Edn+lL4X2Pfd86k9y/zDpHes5feZ0vrUMN /InffyV8vMH6H/k9/Z+6DVd9ViTnfmwd9Od4T6wFh8FBY3znX1nnCMV+/zJ5 qr65gZr2MLX3iPz2P0Syc5nj0D0yUn9fvtsi594ffo5cc7RklzL3eCDfkmWe 7ya1r4vkkeMkx0bmXmKozrUrdWwr17It/K1B3p8PX0bywq2SN0fyy3mSMyK5 mLF1/pZkXBOPhf+oIeAB6nxyCXmk9O8btKmH+c5vZZ1vizx7w8j8Qa1MzFMb kU/XeY0pfsf3G/HexPmUdcmta91eZD101ns8tdNkt5nnbPdNsE3gcbiFnMr6 1Jut/L1MbsVe2Ik6sVY27hPpww3UblRm/P2gd70jff5byRWRvPCd5LaR/FAj 3aLM2F7NniP5ab1kpcz4+FLtnpEcNVRycqQ9uqp/mzL97yq9WxaZe96W3CZy /+9KLo/kzYbS3S6SH+p8Fs6xRrJXJKdtKZ2DI+OGmq65vyHx72a+X+zQ0n6y 3nZfZx9oZvu0tC/RruaPGtuspX/LQG7s9kDJId5zY/tfdf0WG/hSc7e5D8Z2 tGzptQZLvhFZE1EDrvAdzvedkmeuVX/ryBqrfpm2xs7rIu8A+38j+UVkTijL vCfuaHvOVSbXNSnzvrlr7r9emT6ALVfanj0kP4zMI90lT4v0Ye4hyrwL7vYz 3y9+8bV9A9/53v7Db41TInNgc7WblsnjHSTblMnFfSV3jKyJFkjubg7pL9m+ TN7GNoNsn9ck94q000GsHxkHraXbokxefyfS5/C30yN/92QPqyJ9Gn/+XPLj yHx5jeTOkTXsR5LvRebnPSVfjczHl0iOi6xlifEVjv2+cE6ZuWmA2jtF8kYL +wH+AEdSR1Fnkmuon6ocU8/7Rwc+beT7b2gOWW8d/Ade4T3rzvUzberciu02 xTFAzoGXyg3Wpw13HeNn2t95HmrdXjrHDpE1LN9K7HOc91Xjvd0jOSFyzTcl J0XW8f00dkwkP/cjpsrMxd0lNy2ztmqv9/Mi67q5npfc0U7ylsj6rY3ktMi6 kVqIdec6jmrj5zxc671hQ36rwubwx0DHY1vJGyPrSWLiK8cF99OtTP1n1X4m 8rdn/LGdfXKjMu+VO8WnWtqvHscXIuvFtmXGFTFFjrohMk/dIXlnZK1JzpkT mXc2LtMu2ORe+iPr1yslr4is5e+XvC/y9/XbIu2CTXrD1cKaIn3wRPsh+XaB 7/1iyf0i65cL8anIb67ZkbbADltzJ5E5nxia6Dg6XvKyyG+VhZJPRP5+v0tk bBAXV0vOivyGuDQyHthDB8mZXusFyecjf6d/UnJRZJ19feS9cqcvSr4U+T1A fr49MkfjIwdE+sm39l38raPej4ysg56TXBpZl78i+XLk/wewzbBI+xwe6cc/ fctxJvvkI5wp8v8Vd0veFfl/j4ckH4z8vwR88GkkJzyKX0R+PzzMnUd+V8Bh deYxbNzBZ6emODeyrjhfctfIb8P3IzkU/jwnMgbw/70juQz7wzcfRHLORZLj I78vl+Czkd8/j3HuyP+lEH+nOAZPlZweWdONiORTuJRaiZjk7J9Ecjp8vlvk /tjbyZInRX7HEsevR8byCZE+xLkWs6/I/9XAtUdF8tUD2Czye+xHTCj/AQ== "]], Polygon[CompressedData[" 1:eJwtlnmwlmMYhz9N9/2OGDKWQZTTLssYfyhmZJvEoHTax1gmYynVQYvKVikd bZJooZqypEmU9pREJUmLJVkSZYtQluJ0wvWbnz+umev53ud93+d9nnv5yrpV lPeuUSqVKqEmDMlSaTAcZvBMlEqv4nVhBD4fluFnwGP4ItiIb4B++Ap4AL8D nsQnwzv4WuiLL4f6+Lq0j4LueCVMx3+BvvhpMAx/GmbhL0Av/BV4Dn8e5obX 2Ae/F/7BH+G3l/DT4VGtHT7Fm0At/C1ohj+hZ+KXw/f4d9AGXw898QYFv+H7 oJxxPcZf47ugN+PbYDw+AerhS2AhXgnX4Lf/f70KuuHncv/f2hvowfh8xtX4 Q7CS8ev6BnxxeK9fE+E9X4ovhnvC71iAz4e7w3OuxgfARHwtdMTr8/xvw99w EeMO6XfdBFfhO2ENfgGMwx/Xnob3pC73tmP8ML4TPsEb6x34argFP4c5B/GB 4bPfBCvDMdAZb8T1PfiPsI3xR3Af/iY0wj9O+1hoio+FmfiJ0AB/Lx1Lo6EM Xw1L8ZFwl+Kv8Fn8qjPVs6BPeM4ofGQ6Fp6Crfhm6I+/AQ3xLWkfE17b9vS3 aY2a+yGsCt+jWHwxHXuKycvwOTBcsaCYxF+GCnxeONbf1ZmGY165siJ9tsoZ xebc9FzFqGLzbL7nj3CMDmQ8SDEajsn302vWWrXHmntz+t2650zGXzIeh/8c jjXFuGJbMdeQcS/G+xXrcH8655Rrk+AQXgXl+BbtAd608LMUUwcZ/6UzDs9R 7LZgfEM4hhULOkOdnWLiBMbHQ2f8M50pflJh7wLNmXte4dxQjpyCn1z42hdw LH4MdMK36wyZ3xJ64EPCsdWF8U/hGOuPXwo9w2fSjOtnaU/CazzAtT+hXfgb 9uP74Hp8I/yA70nnflu4Fd+tGhU+g716V/raBu2x9i7tesaV+A7lED4onFvK SeWicqwaP5ze2/YQrK0mdFDswVH40bAt/M3D0zGu2J4Kv+G/p9eqbziCuTXg g/AzSvi/6Wfrt1qMj4SO4WcmXhR+l34rK1zjVNt26550TioXFfO1uX5c4b3X Gd7ItX7pWjwNHlQtSufWFKhQLUqfTRU1+MJ0D1DtVw1RLbw2HWs676n4s3CI uXMYT8anwOzwb9/gu9K1UmcwDZ+enlvN9UvwEem16MyHKtfTvUo9YH26hqh2 KAcXpmu0avMC5TPf1ia9tztUE9I1RrVlSbiWrIFl4Zqi2rs83etUg99O9zD1 Ls1pwvO6Mt4bjsmZ+Iz0WtWjlHuNC9dC5aBytXU6VpSzqtWd0rmpmv053ipd WxVT16XXrLWqR6rWzEv3YtUc9cbZ6V6nHqnesCj9reoRk/CJ6bPRHquXtU+f vXraqYzrFM69rvqNa1+le4N6wsX4BBgczsG2+HiYFc6x0fgV6d46A+5M90j1 Rv0H0Fz1FPUS3aNetyq91+p5Y9LP0L3qAf8BU1g8dg== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0bkygwEUBtA/CIIUKRQpFGqj5DXMeASjjvcgkdISRGyvYAtqnZYghNi3 2HdOhuLM982dW9yZ29430JsIBUHQTwfVHiZClBitxGmj0cJP8Lf4LWpkiJRe J8PU0kA9w+ZNspkIUVpIm2/RqW/ILxb4YJ5P1nlnjldmeWONF2Z4IsczeR6Z 5p4sD6xSYYpbJrljhRsmuCLDNctcMs45Y1ywxCajLDJCt/u7SOqnnHHMCWWG OKTEPgcUGWSXPbYpsMMRPf+/+AV4tz2M "]], Line[CompressedData[" 1:eJwt0Mk2gnEcx+HXDZQhyVSiZDqG6py4DStrF5BbKdMtGJOQdUIcoWPM5XgW LZ7z+b3f/+5Nbu9sFvuCINjimFfuiBhPdEhPdVgfdFrPNakVndGWzmlNM3ql 8/qki3qtC3qjfyy5b/WDTw7osGbPskqeHM/2OuvufX1nxZ1mlhSXtkcK7j09 5IIN31U9440mP9yz7K2rvyTccaYYZ5IJdr2N6hhRYoxQtg/oICH6CVOyv9Cm wTdHfPX+7T82aSmf "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{315, 314, 318, 639, 630, 631, 629, 633, 632, 567, 635, 636, 634, 638, 637, 568, 641, 642, 640, 644, 643, 569, 622, 723, 606, 628, 588, 626, 587, 627, 566, 317, 316, 315}], Line[CompressedData[" 1:eJwl0tky1QEAwOE/b+I1SkSEZkgnITHlRIVKXXoAyVYhRLRYOiGVVqdNu+04 B9nr3n1P4Jtx8c38HuCXEq4PXU0KgiBCuShgl6PJQTDDVz7xhc9k84GPvCfK NFm85R2veMNrjvCSKSZ5wXMymeAZTxlnjAyeEGGYUUY4zGOGeMAjHpLOAIP0 cZ9+0ujlHnfpoZtDdNLFbTq4Qyrt3KKFNlo5yE2aaaSJGxxgnbPUUckO56gn n+NsU8AxctggTCHf+MF31rhGLpuc4DJV/OU818ljixBXuMA/qvnFSX5SxG8u MscpZilmnkssUsICpcSoIc5pligjQS0rnGGZclap4L9fFlgkxhJxEiyzwip/ WGOdDTbZYpt5oozRRzMN1Cbtf7kHTGNk3g== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1HmYTmUYwOFjiDal7EVMRXaSohSSmpA1e2QLoUaUKKUQhWixtNlTpAhF ZSmUpSzZihY7M2NXKrTI/Vz+uOf3vc/3zsz5znuuL7VTr6bp2ZIkSfMjPXuS 7EhJkttyJEk56nIvaeSjAuWpQ3XW2V9L7+QOalKDteZdtRud6cJDfGfeUTvx IB1oz7fmrbUNLWhFS9aY36/NaMJh66Z6RJtrAdpy1PoBPabttBAT+c16gv6u k/QqpvKH9RT9U6dpEd7ntPV7ekZn6DV8xL/WH+p/OluL8TFnrefo/zpXi7OA FD4lOwu5loPczk5718RnZiWrWcUO8xX6NV+xnGX8ar5Uv2QRS1jMN/FZvHc3 hSlKKiUoTXkqUZ8M8tp/BWU4yX6zLI7GfeMAeWhMBlfGfYq5PbdqqbhflKYs l8d9ZZ/3q8XZxLnE3+Uy9pI73ucG9nApu7iE3ZSM+8HF8Tm5KO4DJdjEhXxP LjZyPbeQk7u4gHu4jpupEn/f9azVdfG8sYH18f/Mt+hWNvMjP8R1mW/Xn9jG L/wc129eVQ/xOV/wGTlIjWcr9trTSBvSgE+YH79vnkni9TyycROVySSLWfxj z0z9Wz/QokznlPW7+pderSfi+ry+T+tTL87QerJu1+NaOPZ5/age13QtyI3x GaxrxzMYz4vmpxIV496YddcePMwj9Iz7Zv6Y9qYXj9MnzsO8rz7JE/SnX5yP +dM6gKd4lmfiHM2f0+cZyGAGxRmYv6BDGcKLDGOL+XAdwUu8zMg4N/PR+gqj eI1X4wzNx+hYXmc84+J8zd/Ut3iDd3g7ztj8pO+4LDLJ4AD72cde9rCbXexM Of+9eA6gwbzV "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1271, 1270, 1408, 1558, 1684, 1597, 1683, 1598, 1685, 1626, 1844, 1627, 1648, 1647, 1559, 1687, 1688, 1686, 1690, 1689, 1560, 1692, 1693, 1691, 1695, 1694, 1561, 1697, 1698, 1696, 1700, 1699, 1562, 1664, 1665, 1663, 1667, 1666, 1563, 1662, 1670, 1650, 1651, 1628, 1673, 1674, 1675, 1649, 1661, 1434, 1410, 1273, 1272, 1271}], Line[CompressedData[" 1:eJwl08lXTmEcwPEnvCXzkHlIFMk8vDYtyBA6p027FiWxro0oa+fYGP8IQ6Zk HjNnFjJlCiFEhowZP++x+Jzvc37Pvefe55x7U4pL80riQgi1JEVCSKSc0fEh 3OUet7jDbdK4ST113OA6qVzlGpe4wmVGcYGLnOM8tYzkDGc5yWlOkUINJzjK cY4xgsMc4QCHOEgy+9hPNXvZw3Cq2M0OdrGTYWylkk1sYTNDWUYZBaxmJquY xXIK2U4W25jNIsYnhDBGG5jDGtayjnQm2C/SudxnHg9YzCOyech8HjPW9ems sC5nIY0sIDO2zxOesp4NbCSDie4r1hye8ZwmlhC1t1RXUsE4XtLMC17zKnYe WnjLG1p5FzsHH/jIe9r4FHsmX/jKZ77zjUm085Mf/OYXk/lL8D5/tIPGMcW6 k0boSALxTDVP1C50phtdmWbeQ3vSnd70Yrp5X02iD/3pR9R8oA5iAEMYzAzz fN98LllEySA58v+f+Afm82jc "]], Line[{1594, 1374, 1378, 1382, 1383, 1384, 1385, 1516, 1625, 1831, 1624, 1829, 1623, 1830, 1645, 1828, 1622, 1826, 1621, 1827, 1644, 1825, 1619, 1823, 1618, 1824, 1643, 1669, 1614, 1820, 1613, 1672, 1641, 1659, 1612, 1638, 1611, 1841, 1840, 1591, 1839, 1637, 1646, 1640, 1846, 1639, 1660, 1593, 1843, 1617, 1822, 1682, 1615, 1821, 1835, 1834, 1596, 1592, 1842, 1642, 1616, 1620, 1594}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.6499999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.6499999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVdf2qFGJitHYry0WVKxYogZjXbbEhoaIYoHYNfYSFXvvvWBFY+wl giJ2LMcWVEREiqKg1IP0jg2V5xvjfHPfsR153CQ3b/zeeP7F+MZcczHn3qvM Nfdcx3LoxF4j8puZmVUuZGb2v/8umP2+YZWloYYhNxYbfmztoTpdmRDs0SdQ uHj+Ky+X2XoL96syq9TJs4eF0R/Q+Wno1fbXRR9GH0YfRt/c/dWjXiN8RR9G H0YfRr+vRZExP3cKFH0YfRh9GH3rS+VGtXIIEX0YfRh9GP18E61Gmo96Kvow +jD6MPqJGyp4xraOFH0YfRh9GP0+Y6p9dff3aNGH0YfRh72N+Z46RZ1Who61 PU70jFVO4/dYWvj7CCdkDkqYvC1YmPZ1KzdstPlRnLSHkbu8aHZ8xuBEkcPI 391v1eDH+GQVtctm0U/jHxmeOe8t1mjYdmVr6PFD1mw/YfyDD650at205SXh Zu4rDxf+YpMq8mj/pDZFjKqaR4nbO/dcF0Y+1eO3VEuX58q27PY2F+c/EPmK gNrb6px4/FH7ZytPTij4ZYK0R5/nAdO+y7DzyQkHkoQ9WxvG3W+QKvYg5/1g P+8H5v3APC+9ffr3hRz79P7RHn3eF/7ByHlfMO9rp/lbl62rA5XfyHHFHb+O U3PWj5nbf9BaQ3nLpEV1+xxSLaJvtOux/5Gq+CbuflxarMg9qkXZmY+KUaV/ iCkYPuKo6rfsne3W1SnqqzWuIR1mPjZYH/+tj/WkScrFPaD+miHBwtl+ReYH d30gfDxi6YE2w32EZf6aeHKNF938m10XHuXrG/V7kdPCjJ8idX+9mDrIS543 jL02zhsv1+p5Rjg81O3C+ckG0W/0JuHxSvtbog/T/ma1mAEHfW4Kuwam95sQ dkf0kxoVSFx70V/0YdpPWJbr0DzFT3jfrmX1zMwCRP96VIl4h3vBog/Tvqjz 2qMxK4KEp3+/uc6dko9Ef+uWKs+rhj8RfZj2kXV2HnZ3fSxsm39frU01wkR/ XBdrY1xauOjDtD8beuSgs9sz4Q1P+m5yd40Q/T3vdqX3Wxgl+jDtv+sc+qBq eKTwm1MDS26qES3rBe1h1jPGE+ON8QSzvqAPo894oz3jDWa8wfiDPuMPOeMP Zj1gfWH+wm+6j/IzPPdTSwJTe96bGS/8Tbsp69SVBHke7L8w+ynM/giz38Hs XzD7Ecz+Auv3C9azAvs32viUvKz2VZhVrGbnZK1/03zDX9aTK+tCpvY6761S 3F7cO5lfWw+9lxuS5tsa27IewowPmPaDh0T3T/GNkfUTpj2MvTDPG2a9hAv3 XB1jVfmJrJez6rmmWI0N+mi/67JiQNmZG7T97NsCTRcXGZiiEm54z7+TEKRO HHDY+eW+D+vjtWU3ZrR71Lb4khDPlDGrhJ/0SRw85fZe4aDQjX4LN58Tbufs duTH+peFN9sPjw5I/l3YZ89k/3YXbgvvDjNM9CzsL9xy8XcjR094IDx1/b3x sysGC5ew6T28yYKHwl06hI7tZP1EOCZuyNCcjaHCVbLjRhdrGy789F7zxlE/ RAi/ts9pmlg7Srjz4bYnvJ9EqZpXXd0CJu9WdUcbSj358HyRn1zwbcNjw4yq 1PHl1Q80DTEg91xtjKx3+KHww7SXt23M/YVTdh0rMTvVV5j5CA/123PZyt4g HNep/MV2lheEr6+dsLx6mWtiz7wAz8JlG9z8yL57BS2anG7xXLjSAFv39UnP 1ZfmnX+Zd8Ffa18r/unLbwOE+117+CIxLkT4fPSM5iOmPRFuPWv56Z+/D1G1 F80Ibl5L6795RPGT26/HCy9tam89dVqCjM9q5w59adY/Tk2wqfavNgMfSfwR tG9XATXogTox8nGNlyUTVJ1O7b4P6u+vfLdVv2gxPUH623vhX43ndk8STi06 4Fi/9xp/7lL5xJCgFOH+sYPrtVmeqqLSAmJDL9+U+V7Cp/q8iQMOSnzTbPNs 85mVjVeIV9CX9cnEsj6ZWNYnE8v6ZGJZn0ws65OJZX0yMesTzPwl/plkWf9w 1cWxItfHP76OGY+KfaY9L9YrmPin6Bq/h+su31ALfs45a/FAe359k5IOhEf+ porsvew45s7Jj8ZTBdelGe2zjcq/9piaNwfeVd1njbLZ5JyoercOHFzg+jkV ld4+x6669vxzSl9P+aZqjIrYnF7cd8leGb/bdhbsXXD6CXVv0r5vztxKUX7Z TZzXuXlKPIU+8R/rMfoS/+nsY3/qsH9Z59gjYRI/Zgx3yvp1Rahqufrcg9Bd RmV358lFu4gnasSa5XUbp2nx6BWHUamZh1NlP2a97ln0UsLo6MeGxrdWdzH0 2dO2TNGZ3pWKa+zc4GSFES+DhD0aZLU5dTdYmP2Z/kp9b73x7akHIg/pGT/u eLi/8M8RHRakrr8jnBBx+/bqb+4Ks17A7N/071ajxcQqFjdEblPjVK1Fg68J p9z9zrXuUE/hKN9e9YeeOiPMfJB40vR8t5fY6Ha30CltfO5xMFqEXZX5I/Gj SZ6dPCxg+uEbwqML/hy5M9dH2ku8aJL/aj/fz+LuPe39n/VO2boxQNpLfGiS H3DqYezxUptvz0YFJQ36ELfTXuJBk3xWccfof1k8Fj5dKSqhzpkwaS/xn0ne 8/qoyPCKz4S/fT49a0Z0hLSXeM8k39jy4sTeW7X5fOLqvCk/jtPiPfZnuzHu 6yKvPJHxPPW+YVpypSBhxgvty7hX/nrq+gCRj6s5+Buzx7eEef+09wyvdK7Y 1Zsi9z+cv+zWOHdh4hnaL6r33cDvc87JfHrf7X3E+o53hPGX9Rr/RiTfHl/5 iLYeLZ6yZnKtedp6RP9e6zsMXeTkK/15RX3R7esHQcKsb7Sv+NnJVcd/fPjR /ye+5P/d976flO8rbb9JtnVJK1IoUVk7HXCM7fRA4lHncLNZ9uXuq2rjloz8 5fcE6Y/9AP0Wex6Ojb2grZd9a7lOTF2fLO3ZL5Dvn/k0wadDivqpcXu1f/Ru VcvLsXWRsanqVSP7k/Mf3ZV4kfi3onn7ZXP8EpRXuXZT490N6qc2LZc8nZWs rF+sP3F9ppecT4lHj0SHbZ/hmSzv6+tt5fPXyp+syrheafvc4prEq3u63ouo 3GuLzN9zq1u2mF5xgXBczyJjE9Mfq132gc2dhsWqlmWape6uG6hWzqwa4ewY rzzsqmUFb7mldi68Z/m+ZpJKKD//Sqt9D5XnS5tbBuNziU++DYxvnPDDeQPx K0z8ChO/wujfruobVb7+BtGH0YfRh2udTO0Y7v1U4tmvzhl61sqJEr6/ZXlO WKnnwuOnfn/EpV6i8Of25fp065AqHLw9dYGZe7pwzRX2j0LPZwpPmX6uwbmb 2cLXR1Zassn/pXBJh/lPxoe9Fh78bXTjrnE5wieadV5eM+udcG6NY09zc3M/ ykexf+MfjH8w/sH4B+MfjH8w/sH4B+MfjH8w/sH4B+MfjH+Mf/yD8Q/GPxj/ YPyD8Q/GPxj/YPyD8Q/GPxj/YPzT5wOZr/gL4y+MvzD+wvgL4y+MvzD+wvgL 4y+MvzD+wvgL4y/M+fB0b8uH1Vqkif8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+P/6GsHyrrMTRf/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/G fxj/YfyH8R/G/yoN6/T57HqG+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D +A/jP4z/MP4Huh7bPL1glvgP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP 4z+M/zD+ryjUKCi+W7b4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/ jP8w/red6lnaaf0L8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/ 4ahbjq+6pUZ89D2G88CCQzUO5itkFHmVpYk/nK8SL3xp2Kn3E2yShRvsvRxc 6nCa8JwNltYpnhnCvvOXLrpzJUu44sT4kAM+L4THDOzRaMHDV8Lne5xc6hj1 Rrhwm7JhNilvhftaz2xS6s17YfyDOa/ov5dxPpB8qYmJxzkPMD4kn2TKJ3zx eXR2/9A04ZvTR37tWzVDeEZM/NS2wzOFG/4w/rTHkSzh6MtpmdWTs4X14wv7 GV8w4wtmfMGML5jxBTO+YMYXzPiCGV8w4wtmfOmfN/EUz5N4A3/Zf2H2I5j1 GWa9gpm/j66tTi5wMVQNXztig7ObUfL3nJ/4nlcsc8Gawv6pcl4jv895jPwU 5+3mobtGezi5yXkFJl81qVpYE8t2p4TXTVs4vkqLfQbyAbSHOe9w/kcOI+f/ w/QPYz/Pl/nLfGX8wDwfvncyv5kPrG8w30/5vkN74n++n/J9FaY99nAemrbH 3tUrIFz+P+dt/XnzP/2+gn9/9D2E+YKc+QIzX2DmC8x8gZkvMPMFZr7AzBeY +QIzX2DWK/g//Z4zJ8fBp8r/4XtOgFeopfdrDwPs227R+qDfDxm6q6ZHrNdE SP5lpt2SLqN7Rf5h/j++ck7v6P0xIi/XyDa76hij8PK31/O5XowTPlOszL6H C+OFrUJXHbcLTBK2TwrtuXZHsnCU01H3xdPShGcYH7zbG6JxY9ti5oMWZgjf Dvq699wYjRe0mjyg5dos4fI3d/zWL01jv3rBHmV3vBAeeeqdWbO3Glep2KJQ +oFXwmf3DelbvPBr4XEWv/zo6/FG2HzT7+4JpXOEL70yO3340lvh3gvrmntX fSdcNG54kcW33wvvm7R2wN76ucJ/9/tJXt8/eP+tbUqV2388TTgq/FRQicLp wmn7tjiUzdR4q23zMottM4QPFa+wdXnzTGHbC1722Rs0HjBnV/Dr2VnCZrXa uvwUrHGJ+Kplx13NFj676VrA4wovhNn/YNY7fb5f/71E/32k2c2Ya5dmaPk2 9p9x61t3bZlfy/fp9x++D0g+27QfyfdF034Esx/B7Ed5fY/Qf5/R5xf1+b68 vsfgj+xPJnu+WBbWcc6yM8K7e+fb5t9vp+H/9+8f7E+stw7X28VUWvtM5uPO htveF9oepa0vpviX9rdU3O5OA6NF3qLYoGNXTsRq64kpPqb9iCoe3XOmPRf5 o8Ra/abdStDWD1P8TPsC76a/Ork2UeTTfFLMrcNThImvab83VB0cdTBV5Kt6 h/abPDtd+35mir9pX+1pgaPrn2nykI7qhO3yTGHic9pP8v0pd0yCJq/TdP9n dVyyhYnfaX/l4t0+373Q5M7VCzkV+PWlMPE97b841sjNMr+2/nqXHOv57Ddt /SX+l/oIV5f874pp63GZfPcLe53V1mPOB7R3W/myX0gFbX0entZk0Jbr2vrM +YH2b2Y4njhlpa3Xp8O3npnkp63X/+n3B84HzL9ldTNOPxqh8dakQJswu3Rp z/lB1uut07K6/qatP7b9+zr33JIh7TlfyPqd/3XTSymavpn3kzNXH2dKe84f sp5PnDOlYVONzzYZmN2kSra053yC3Cks13PPdI3H/BrZ7ODQF/L9lvmV1/cR p0tz7TaUfqpy61jtPxsQo/7s9wv992X99wz99xfsjZhv93J0US0/SfxJPAgT D8LEgzDxIEw8CBMPwsSDMPEgTDwIEw/C2Mt+iL0w9sLYC2MvjL0w9sLYC2Mv jL0w9sLEp9RXEL/CxDsw8TxM/A7TH/UZ9AfTH0x/MP3B9Ed9B/3B9AfTH0x/ MP1RH0J/MP3B9AfTH0x/1JfQH0x/MP3B9AfTH/Up9AfTH0x/MP3B9Ed9C/3B 9AfTH4w+9TDow+jD6MPEB5z3OD/CnB9hzo+w1GOZzlfow+jD6MPos76hD6MP ow+jT3yKPow+jD6MPvEr+jD6MPow+sS36MPow7Qn/iUeIt6E9fXusNST6uvh TfUnkp8zySU/YWLiNZjxKPX35CdN/dE/9SrIYeTUpyCHkVOPAlNvAlNPAku9 r8le5MTbkh8zxcswzxeW+m8TS/23Tk58Qf/ED/QP0z/xAv7K93sT69dv/fvS r+fIJX9kYuar/v2gT39yv8Ykh5HL/RmTHEYu92NMchg56x/M+gWzHvG+YOT6 +yo8f+YHjJznzftgvqwyrN3/TXakor6ceu/0Xp1/j5uUoUKOp78une9DXGmq RyZfSb0b8RX5TerHu1tYGC1LZ4pcf/8CffonX0n//D/ynzD5U5j4DSY/CJP/ g8k3wuT/YJ4HzHmJ9QRmPHI+Qg4j5zyEHJb8qen8I+djEyPnvIMcRs75BjmM nPMMchg55xfkMHLOK8hh5JxPkMPIGb+sV6yPMO+f+xYw9y3QZ31DH6Y99y1Y n1nvmO8w75v7ETD3I9gPaA8z3xiPjF/Go/4+A/kx1kepXzPNB/39HvLV7Ddy v8LE/H/GO/+P8Q7jP+0Z/8gZ/3p7OS/K/Snq3Uz2kT+HuU+BPvk99KW+zdSe 7xlyH8f0/QN98oHoS37Q1F7qc03M9xJZn3T3MYinpH7XFB/BUp9sYn28w/rH +GN9Zn3gfg72E79wXyWyUf6RbValyX7HfggTv3A/ZuuupQdP+GnxDe25D9M6 9sZSZ+t0FXV108+uP0fL/sh+SP6J/Q9m/9N/n4CZTzDnOfjLFm187g/R9kfO d8g538Gc72DOdzDnO5jzHcz5DuZ8B3O+gznfyf97W+67xCvafj2pZenEM2e0 /Tm/Y//rbt8aPzrfWC3ym3yp2jM1fHK5+eXWRCr9fdJ/6r4M76PM/WDvjlO0 /goFTe9pOTlNvfc/WvRQxSDZr/n/HTxqlby7TYt/7fu6fDHiaKZySaiUkJsT qeLa+NhG7I5QWfZOddLcAw1Nxo8d4Xg6Q93ta3vMoWuMmrXkuEvDzw4aKu1N 2zz7c6OyWt7Rf3oR7f7BX71vM6TZNJ/WG4zKq9WSHu/PafI/un9jmVFrcqtb RjUo8Ku69tM1+R/dx9lWt/hvjXcY1Z6z/odnFdTkf3Q/p2KDz29+lxSjuu3o c7WlW7BaXWTJRednMcrZ1ar8+lyt/R/d39l5ybJYnWoxKnZwzBnra1r99l+9 z9PlfXhUjbFREn9vO7ZsmffJCOW+u1Bn5Rilyjl7+DdsFqFuzLNe0Cr70/0f /f2fvO77/N37Ov3vhUx573hO1t96GYemtJp931AvMmvV+qYZKuDA5zvsWoUY elUPc3XqlKmCNoUff9pdO8+kudq7L+3wWM4zv1it7Tzvlxgt3vub93s4T5Sv 0bCElbk2ftn/Ktf32TR+wr/th3nc/2F/C3HZu7ZFMW28/tF9IP39n7zu+4wp 3L3S1ds3Zb9jv+xcsZZhRqF0OY+4XI8+1K1+plr54GTi7WJGFRmZ7Lgsfrtq 4W79cLyDUX1xPnuA5wh3pZ7dbdKqYJQqH3t4V80NEerQlbk5nsYLhqkN+r2c lJGm7qRETDLzjVbkextZnu52rHq06rL/TfVX25/meb+o2apk16Ybn6n9jp3y TTGPUbsqPIj9MnGvoXvPDZse9UlT/l/Y7Ezb9ruh8bB0y3Wr01XzgSMf5+8Q K/+vwrNOt0IfGYXzuo+U132j0oE7Fy0s+nH+4o/uH32zuuD+2r9o+YYis8f/ vOW3D+PlZWfLsasuq7oFLSrtPGtUId83c/Nad1VFrZ58quItLf9wcb2XddwN o7rUrdCBxbXvKOOWoSt8Puyn5+b1XfLZbh8VMKH2ixartHzE3O719xWb++H/ fT4szrvHAzWyYm7Le3ZG5VDdeMEiPkDincpdIj+Prp6hzjcuWcG7TIycF+5G Wh3t4hatTt+vWLNjzGnDwnIlgj2DPpxr1/nfbDPc0+BxevYBr9kx6lCHOtHj Ml0N+M9+r78/91mvtG3lzrnJ87e0C5l2qMyhj94H982I7+lv1b7PUxqMvqi1 319u/kivK8Jv1lXasWfNLeFF67bYmcf8rv7q/SXie/7/le5Wv00u7Sf92dge yyh26b7w+SWVD13ODhSet+TJwomWGhP/S/w2bF/DWi0eidxhmLHX1GIhwlnt 3XPrWYUJe7UfExpmF6r03yOl3qVakxUuo8JF3nVDy4eTqkQI75i/29q2XpTw 7Nw5Fa2uRgpzfqa/n+4dqXwu+rnIl/bwafSsR5xwcOuGyy70TxA+d6no1E2p 8cLx12ZuuDrRqLznfrlgQEdP+V5J/5+5TfIZn5Mo7WtYbwrbPCJJeEqlF00m TU4R7rMzqFrXQhpzXqe/Xt/uarXJIk3kgz9zv3mwrcaF3z2b6NIpXRsvrf1i 5xfXmPM9/e1pZrZpfNkMkXtklai0sJvG/ZI6eE+wyxTuYt2kjWMljckH0F9a jeFxXSyzRG4WM3Wyk4PGR0IPfdnNKVt4e6WtLja1NSZ/QH9tS99uW7PBC5H3 DAy51Xyoxi98ikyxGvVSOLbIm/iSTTUm30B/6/Jbb8n95pXId19vXaX0BI2/ 85pwx2zqa238v/mxXXJbjclP0F9Y+vrEJ53eiDzp5J6pKTM13nw0oGrY/Bzh JfHXtt7upjH5DPqzjsxsf9burchb7zW/e2epxjHbbZzPrX4nHBRilbzfQWPy H/Q3x7/v9o1O70W+asMoy4MbNW6ywtV307Zc4Zq3V3acP1TjP3u/8dS1ERVT bhqVYfeMVR3L3/zT9x1XdA5Jfvhhv7gWnHSjSc69P33/0fzeuyGFn8dIfmd/ i4npT9d8OAcFXtibduXP349cNLWrxYKwaMn39C+YEpXePEa1bl+sxTmHx+qH 5YPuDe0Rra6unlqodv6nanqlYSvjD0WrBTFLekWdCv3H71f2LLDN6OwSIfma Vs+D42+aRSirGmWTSjT5dP/y796/fPHr7v37zJ7+5fuY/+37lvfKXTg/re5w w6tYmwJ1CqapnpOezogd/8DwZHp4A/uxGcqs2PjQrBF+hoH+iQ0XWGr5c+Zz qxKH/C41jpZ80u78c70M+cIlX0c+ssS8Do18Poxrv+xhfZtc3Sb5JeLDDPfi 64bW0L6vtTxhmNvpaIaKDdo93LjjgeSvLHyn7nnc2qg2jO83subyQNWiaZ8b X22OUv4qe86QyeGq6cxTbpUcI9WA5NXZbvMj1b/Myi8cNPSkoWjplr4uB9LU jNzl60pmBBsC9zwadu1thvpXTo1qvV7fMWRNOH3ixcN01S7GdvJNdc0w75eE 0hOVdl+H/BT5D5j8B0z+AyYfo89vcX6iP5j+9Pc1YfqDyW/p81kw+SyYfBZM PgsmnwWTz4LJZ8Hks2DyWTD5LBh7OR9iL4y9MPbC2AtjL4y9MPbC2AtjL4y9 MPZyfsVeGHth7IWxF8ZeGHth7IWxF8ZeGHth7OV8jb0w9sLYC2MvjL0w9sLY C2MvjL0w9sLYy/kee2HshbEXxl4Ye2HshbEXxl4Ye2HshbGX9Q57YeyFsRfG Xhh7YeyFsRfGXhh7YezV15OQH8F+GPth7IexH8Z+GPth7IexH8Z+GPth7Iex n/0E+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Ff//uK+voPff4bpr3Uf5jymdQ/ ow+jD6MPo0+9NPow+jD6MPrUi6MPow+jD5Pf0H9vJr/B+RbmfCq/H2Q6X8Kc D2HOdzDnM5jzFcz5COZ8A/P+9PUUxP8w8TtMPM54lXoUU76BeJr4Vl+/QH6V 56m/30b8AOv3f+xlPsDMB5j5ADMfYOYDzHyAmQ8w8wFmPuifn/w+qolZn3g+ +vlCvprnxfyps7uPXWrRWMXvS/J9ku+JxKd8z+T7pr6+g/Z8j+R7Jf1TL4E9 Ui9s0icepb2MV5Oc/uT+pil/JvcJTYw+vydJe87HtIdpz+9H0p7zMO1h2vN7 kZzHGG8w6w3vg/nKeIZ5vty/4/yFHJb7d6bzk9y/MzFyzkvIYX29Bey89sIh n/Jx8n6851R+d7BmgjD+8nudZcYttF/YOEnkwx2NR51apwj3P1jT7MuaacL5 fnE4ZlEvXfjI5hUOLxtlCNut8cpn/DpT+NXiJLeAVlnCe2ZX6Xe1fbbwd1Ps Chzv/EI4Zcyi4zt7vBTeOvR0/5X2r4TbDog1n97/tXDMD+U9hg96I7ymazfH XiNyhJu1n1Ow3di3wmHfHD/ZYPI74cWNI5wqTX8vXL9OqcIWc3M/el78PinM 743yvvm9T+Yv6xnM/KU9843+YMYr+jD6vF/a835h9gv0YfR537TnfcPsL+jD 6DMeaM94kPXDtB9JPsXE6DNeaM94gdm/0IfRZzzRnvEEs9+hD6PPeKM94w1m f0QfRp/xSHvGI8x+ij6MPuOV9oxXmP0XfRh9xjPtGc8w+zX6MPqMd9oz3vXr P+s5v+/Kek79Csz+w3rJfiD3QUz96esDDxl8zB3PZIo+90HQl/shpvZmzmtq bu6rsaN1z073XmeJPvdD0Jf7Ivy+blTx4QV3aVxix4PFqq12X4R4jPnJegrr f+9V7uOZWO7jmVju45mYeJH5TLzEfgSzHlAfx/7C+2S/1v/eL/VHxJ88f+o7 ef7EUzxfGHvJR+l/D5j3hf3kK1iP2E+Qkx9AzvqJnPM4ctZT4jvsZ7xhP/qc j9HnebFf4x/PA8YfxhPt8Z/xjlx/P/xTPdb/3Xqs/9fvz//T9V153a/Pq/5L X7+lr8/S11/lVV+lr5/6s/VPef0ewKf7///s/f+/ez//z9ZP5XWfX19f9d++ 38/6zn6vrzfR13Pp67H09Vf6+qpqNqXUvH/73qO/762vP9Pf182rnkr/+wD6 +qo/+3sBf7ceK696nLzqtfT33fX3k/9qPRb3lfX1Vfr7zf/T66n+7O8r/N36 q/92vdSn+qdP9U+f6p8+1T/9Uf2Tvp5JX5+UV73R360fyqu+59Pvr3z6/ZV/ //0V9lvi2bzqg/6n/V5KXvVK/3S9kb7eXv/7NHnVI8nvcx1z9FqSPcWgr+fX /56Svn7pfwENyqCS "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdsl1UUxu+lUOiAYlvaArWDtn9oochSEJkKKk6KoEVFEauCA3CDiixR vrnj3nvEPeKI+7N770UccSSOaDSO58n5NemHX+59zx3vuc8597xv84o1i1b3 Syn9J4rEfmKaaBcHiN1FhzhYTBfjxNXiHTFfFIssvMcxYrmoFqViAOMDGff+ ZX1sS8RiMUgMESWsWyq6RbmoFIMZr2Dce1T1sdWInZjbJRaK/mKZOFIMFbWM e90IMYx1I2k9fpzoEXViLWONYpVYKerFLqJZtIo2+qPEFDFZtIgLxK6iINaL dcwdi66Zc1Rwhmlo3A89ytAno9UAxgbyvJB+EWOlaFfM2lL0q+C5hPcMJp7j WDuJcxQYq0THFs4yiuca9KpEpxp0reIdy7FX4XM7/vagYS3rrftwcbLYmb51 bmBsJXp7zUwxAR9miYn4tYcYj+7N6NqKxgX6vXEdwTna2GcbsZmKfx3ocKBY QHyK0Mf5M0N09nnXePaZkyIPWnmegG97oqn92DtFTtg+T8zFl71S5MYY5s5h n4vwq8B+s1jbQcx6/ZqOb51o0YwvM/r4OBO/hhCTSvSbzZ6OzzQ08Hu38+7J +Gm99sVX+3l8irtRx5nmMdd+HdTHr/n4Npvzt7CH99otxX0/LMW9dv46jwfR dtE/lHnunycWsafHD8FuFrNHGf1y2iX0t4p9RJPYwL6D2K+LPa3B/mjs2C9A G6/vZu/lKeqaz+66dESKenI4z+U8+z74LpzPmO0bxVF9xl2PqrEtw96Dtq4t I3muZ/xo5vdHoyLe0c3aavxzjGvp288V+FzNcw/jth2LbRPzPMf30XelAY03 oNV8YuD3n5nifjbRrqJfz7N9PxF7r81rGtnb7/B938I8zzkFewOtn10X1tBv YN+17HEq/UbGVzN/LWMNtKfRty8n4efpjDWy7gzWno2fTbRnMcd3wDWl9266 P5p2Pf1z6HvuXJ7bsJ3LHOfLRuLl3Hd+lBPbTei/OcUdqyM+m+m7TrimFDjH Vvy03XXMd3Mq/QLtNuzr8Nt259cJaL4d+2hsW7BfYq1z1I5rxZ8pcqFEtjuI 2QOiModGn4mPUtyxWtkeSVGH7hMVOWJwj8+aiZPaJ1PUoTtFaY4zVat9OEXd GqH+4ynq32T1X0tRS6ao/wYaO/eXoudLPkeO2jJJ7VVqLxSXsd5rL2e9107M Mc9zbhcDc2jwtGOeox5f6tzJUX9fcPxz6N2udkeKdz3BeXwWn+lLzvWsx3PU yFtF/xzxvFH8Sy7cLT5NUb/fF1cQi7etX454vszzVM73Iu99BT/c/0R8nKit sj2T4r3293ly5ANxJfng8z2V4oxt6r9Jbr0rLk7xLdmBpt5/guaMy5FPz4mW HDnts37FeW8WOUcuN6l9PcX37GtiYP3rZH81xfepJkeeOcfqc2htnceo/1aK b8Vj5IFzwHXNddN35HNxF7r9IH5MUbuLNfe2FPfnQ/EFOfloirx0Tv4ufkvx DztUtvtT1IMi9W9JUQf/Etel+E5Yj2E5NPlDXJPiu1El24MpasbP4qcU/8i/ iF9TfAs7csTVMfWZCjnONVjtvSlq2/Xi7xT1wD9MN6X4JjgmzTniYi2H59Dz e/Fdin9za/keejomY4nLQynuku+R4zae2P0jbkjxTerMkRPOh2/Etym+ef8D YRHiIw== "]], Polygon[CompressedData[" 1:eJwt1HdsTlEYx/Fzq/YmhJB6K0G9lFbsvUetqCAIooLQaGMHpVohNf9BbWrv PWKP2CviDyS2EHvvzfeX8/zxyXPPPfc9773PeZ4TnZSamBLhnOuNSBQNnJtD jMIoHMRR1EZbHEE2Wtu993iGDuiMQvx+O3EMUuzZ+Whhv3mKl0hAVRTn+R3E cRiLEoznEivYvTuYhxDa4R9yMAD98AgPEWvzbzELDdAJLzAT9e0/87H+BmIy huEiHPf6E9JxDBUZTyBOxGXkYTyEmIEL+IM+mIJz+IZEpOE8fqInJuMzZqMh uuIScrFeEnEqfmMl+toe5GZuHXEoBuMK8nNvODET12xPtBfNUJC5zZbrESjC eKvt3Ui8wjvLRRgRzK8hDsJAbMRNNLIcKvfFeGa07cEC1GGcRayCq7htuZ7m fK0UZj7V+Zo5i8VoY9+8xd5R76ZnanAdixiup+MDvlhuquOX5Vi57YUbluM0 W/MEKvH7lnovVOM6HPh3m4TvtgfKfXfsRmnmm+i/sQdlGDcm1sR9PLDv0fef QgzzrYh1rRaO29qqif0oz72mxDgcQohxc2Itrcl1XOC/rR4KBD5nylWy5fK0 zWVZbcRzb4blK2/g9zzTaiAy8DWYYXv21/maTbeaue58zapW1WNB4GtMtaUe +WQ5Vm674C7O2Le1xwrna1C1p5pe5XyPqbfUE2VZb6/lSt94C5ssV8qheus1 OjrfYzud72n18ng8xhPnazUez50/A9T7OjMq8+xJ20vlPJrxYcul9viN8zUc tv/4geVWGz2wzfmaV62rZr9iqe19N5RibpftvWp8iT2jOfXsMltTa6ln1zrf g+o99fwi52tae6M90tny0XKpM2a18z2lXlJPl+N6n9WGai6K8QH7dtXMeufP IJ096mmdbSUDn6sQFuKe7Y165D+A/aM9 "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHe0VsUVxd8cE8XejQgsNSv2GksCNkQ6iMKjKE9UpFdFLCAiHQEBERAR eEgTniBFfSK9idhiRdSYGEtsYO8tRj17nd9d8/44a9+Ze2dmnzNzzp7vO7rT daXXWklJyY5UUrKbYw1v/MntYm/v41jb8Ty3g/35QsdL3CrdnnDb6nao9x/i 9k9/3s+xjuP5bnv6czW3c/z50hRj67m1dWvk1titldtFbvXdWvJe7VL6Gri1 cWvImNb0qd2OOZq4XQY2dbscbOZ2OL584M+HObZwvMKtQ4pn+XIlKI5XgeLS njmau11Nn/heAz9x6Qw/+dSJPrW70CeOHRmnMV3pE99uoPiOdxvkdqtbd/q0 fi+3Mjj3rsK9DyjufUFxvxYU3+tArX+LWw+3nm796JMf/eEtP26Etzhez3u9 u4k+8d3JPAPdbqavO7x7wXEC7cFYb/jeBorvEFB8h4LiOwwUx+GguIwAxXck eIPbKFDcR4PiezsojmPdBsB5HKh43AEq7h8SZ8VnIrzF9wW3DW4bsWVuy93u grf43g0ncZmEb3o3Fd56N5lv5dMUUO+mMU7cZ8FJZ+ETtzFu093u4b18upd+ +TQTfzRmBn1qlzOH9mE2KJ/uA+90mwtX+TEPFMf5oDguAOXH/aB8ncMcGr+Q PvnxKXwr3BbDVbweoF/tJfSJ+yLGyb8H6VMMloLlxLscP5aD8mMFKC4PgfLp YVA+PQLKp0pQPj0KyqeVoPx4DBSvz/BjldtqnuXHGlD+rQXl0zpQfqwH5ccG UH7onCrPlGOb8Ed+bAblxxZQfjwOyo+tYFF3K/FjGyg/ngTlx+dwf8rt6Sp+ PAPKj2dB+fEPUH48B8qP58EN7LlyYkgVTuKo/FHeKP8/TpFrOqPb8UffvAJq TFELlGM76JNPr4Ly6Vu3N1NowGv0yT/pi7RImvSl2+tudVPo1LmOf3f7yu2N FHrzjdu/U2jK127/SqEx37u9lUJHCs1QLf7B7e0UWvOj2zspNOZnt//y7f/c 3kuhDdK9g9EVrSftuIQ1WtLW2q1oy59S2tKx1rTFow1trd2WttZuR7vQObWl q9JYaW1vYqma+53bf5j7J7d3GVfG/vRMWfM6wEkaIc1QvVeN7ZeyFuq7Qnt6 wbsjY0oZ05H4SQe64UMn3n2Uorb2gLd0pEvK+le0VbdvoE81W7V7Vwq9GZCy nhX6JuzL2v141wKfroCr4jEoZY3sA6/++FnoqHzTHUH3gzK4ShcGEq9BtLvC S1w7w7c/56A9MShq6LyUdU5nvaizc1PWuaEp69ywlHVueMo6NyJlnRvJXMrD iSlr3ihipPo/JmVtG5eyFo7Gj/G8G8wchVZP4J34TmKNofCexDvV4VnwUM2f mrKeTWYN1XLV9JdT1LUt8JvGmBGMm4LPk1lDvKUP0+GndWamrGHl+DeD7wo9 m42fM3lXaPxYfJjDd8U9o/BvLu8KbVsAv4W0xXcRbXFSza9g7cW0tabq/JKU devBlHVracq6tSxl3Vqesm6tSFm31C50S+1Ct9R+McX9Y1PKGlaZsmZsTlmT 1sBVdX5Vypq0LmVdn5+ybq1NWdtWp6yFK1PWsPUpa5U4vARuxreNfFfo1hb8 3MS7QmvFW7VMOd+ZPVsC99qef534HbERn1+ost6LrPcy7V9S3OuVs7tbtIta I1Tu/sGiBqlPtVw1sQn8tjOX6rpqejPG/cKcqj3/Z2yhYdvxU7wKbRRKM5sy l+aRXkm3XmW9d3mvOi/dacR30pHmvP+Zbwot3JGyTj+TsjZLq7fy/hX2WBr/ VMpa/mzKev8067zPWtLoX1PUDN3ZSizOuLRReim9kmZKg6VXX6S4T2h+6ap0 VPom7ZXWSvd2s9BjabH053t8bej9syw01SzuVeJ7kj/PsdDY4h4jvxt7330W e5Us+FXAVfuh/N7DYl92wkvzas7PGFPBvmnvtXcfcT4+xO8/WsynO/ZvKWqP +IlLY/bnB/ZI3+5iff2OrcbvW8VM4xU33VOkuw2Y72PmPNG/KbeYS/O+w1mo aRG7C3muZRE33Wl0j9EdZl+LZ9119re490jvhfvTr9/Xe7tdkCJnDuEeor4D 6a/DmNrE4CDyRN/p3qK7gNavyT1Ga+7LXaoWv+vr4vcBcJBWHs7/A9UdjyBn P+BdGXPX5P8CtaWt0uW9LHifQ191OB/B88X4cSjrvk6M6jJ3DXS6Bt8Xc9Rg bAPOX0PmqYVfFfLVIg+miJfFvg11vJWYjnYbjp8H8N/FBZyDt9nDXZy/nVXy pD57+QZ5cbv2kD2uTmxa8N2bcKxHvmmOcYqHxfgJ2luLd4Mcb2Y/jnYbBZ+W FrVS885zbGZRP+5XDCxqkHKoCXmk/GtEDlYj/prnbMebOEPb3Lpb5Me9jg0s 8uAJx67k2zTHiyziO0lzWPh/suN8i9p6guMMi/zf6Phni7pwp+OxFvVlvOMx FnVksuNxFrXmbsfjLXLpEcf2Fvm/1LGtRV6tcLyM3Hvc8QyLPVnseJpFjRvr +BeL2rRS586iNqx2vNKiZlztuNaitpVZrKe1LrdYQ/NfZTFG33ewmEvzyKcx +NXRcZ1Fvh3lNoQcOdLxFos83eL4V4s6tN5xg0UeLnFrZZE3My3qhWrFQ449 LGrJIsdTLfRpgeMpFjpxuuOZnPlKx54WNUl9l9L/mGMvi5q4xq23Ra3s69bH omYvc+vGvvfjnOls/M3iHOsM6wwO5BzOtdhv7fVsizquujnAcZhF3bjR8SyL XFdu3WaRX4Mt4qKYKM9GWuTZCGKnuE23OEM6P6XESPHRbyHdF3R/V2yWEx+d l3s4M+da5I9yp7VF3BXzOhY5pvw63+Ls6tzK7234rvg9TAwVs0eJm87pRM5q XYvaoRzWvnWG2zUWZ13nQTFeRZy7WOSPcqf4fS6d034+wJ42tchh5a/yYKpF LrSzOPc689rzhey7cuguizxqYVHXVNPqW+StcraNRW4oL+pZ5K1ytrlFjVB9 UH7cYZEjvwMxS+GL "]], Polygon[CompressedData[" 1:eJwt0/1Pj2EUx/H7OpKVNdVms36wmX8gLZr0iOQhsshjWo/ziyQPEys2MsYy pjFWy1iWWVbLWGS1+SMUUom1JCWiRLzPzvXDa+dz3fe+93Xf5zrfZUXlOYcl CIJUhOARixx8ckHwB9XkKiSRF1FP4TQi/LVj1JVYiDAUoQuL0cP9SupJrHH2 mzTUYYr1OySRr+I7+Q12k1vxjzyK8+RzSCZHUjegAdOs+7GZfB+/yYM4SC7H fMyxXk+9g1/k9ygl6weH4C/rROoVTJJ7cZOcjj5n77iWfAs/nV07Qz4r1gt9 p2ta8dbZN8SRj2IBRpzlEr+XXluBCoRimGvF1G4s8T0/RC3EBHkeNQXX8cPZ HjXkC2K9SGH9irrd9zqGuhTHEY5ErmVRH2CW/MHZXrHIcrbnDaSKnYXu8YJ8 xD87irofT+Ew5uzdOxHtv2Ev2nWA8IX7tXrWYmepPdVZWK57OJuJEygQe7bO TAIu4Rv3X+MAuQOCr6xfis2kzmK0f1aZWG/0mfeom8TOfgZN5C1i36ozkS3W oxj/zTobO/3Z6Ixsw0N8ZD2EXHKLn53PzmZlhz8rnZnLWC02K/rOF8mrxN5d zyxe7D8R5s+gDXvEZll79Bi7xJ6tM95IzsSAs5m+TV4nNqs6c0/I+3xv9Qye I9/3Zhz15Ayx/4LOeDN5q9i36Jk/I+f5s9OebsRdsV7pnv8BaCuHPg== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm812MW/nXPaaOVNtFml2xlSTVRDBMjZF8jSxKVSCqTpWQtxYQi69Dg wzAMwzDMoG57EkKRRLndSm7LTZvn8Ty/j/vHued8v9/znvd9z3nOcn9t+gzs NaCkUCiUVisUAvwN/LkxC4VFeNkc8jTwj0G9IU8HXwC6FHIp+CegyyDPAF8I uhByF1Br0BWgmXj3KehiyHuC2oD6gmbh3Weg/pDnlGivgZDngX8JOhtyR9Ae oHV4XgUqB52L506gFqDzQZ1BrUD9QLPx/XPQtZDngn8Bagl5Mfi3Xv8DaAVo Oehr0Deg782XgvYO6Rb1KC/zOWmbe3wHWuL1ZbZFGyuty+8/mvPbatvi9zXm /L7WnDb2D93xJ9C+of1X2d5i73cd3s8H/8p3pM/ou599N+5zQMjGBtBG26P/ NplTt9K8AnQT9IeC1kNuG1r3C2gU5NtB1UFbqtjbZlu0MdLfdoBGQB4e+l7h s/CuNfGuBBSgWuYJ2mp7tLUznmuEdOuYU/dkUAdQU1CDkB6/PwCaAKoL2hVU D1Qf1MicujeArg/5mO928nra2sXrxoHGgmqDngM9YxvENjE+3dgmxkuNT2KK 2CK2iXfintgjlmc5R5grzBninNhnDhwfijHjUc/77+IzNfC5OxrXjHcn45px 7+x8It66OIeIV+bT7iHcLjZWitgtN36WGIfLqmB9ufVWWLeIV+JyTCieW6xX 5m/7hOTvjfvlXrfCsS6vgu/VVXC2yedYZyyW+9s661X4mbGq8HrGYiqoGWg/ x7DM6zcai8X8WVMF38VvW4xhPm/1816hsy+17jZ/I4a3W595UOkztTOW+Xxg 6Pt2+3Gl7028F4zlk8APNbbPAJ0OOszYr2l8F3OgpnOrlvVrGAc7GYNNjY9i PhS/1TfWJxgzdargnvqHgA7ynhP9voFxRptNjPc63nuqcd/eebabdYiTNsbV qeBHGWdHh+rxYuOthfHZNVRniake4Af7rlzX3PlAvVbG8FngR/obn1t7zz+E 4sR9jw3VYuKTdY89gb3hmBAWGctuxkeZz7un13YP1dBVxjPjwzj9MVQfiZGH 7KOGoFNAJ4Zizr0Ge78S+zNMBztevHcn3/0Jr6v0Pbr4Lmk8sH4+ZR838p15 92n2R2f7gH7taN+2tK8pN3VsmtjeYbbJ2tjT33iuk3y200B/CmGVPjjWPqTP usXvvaa7/UP/HRfKpcG+/1fOl2PsZ/qM9Yv519Z+3OC8OCGUG/RTD/vpcZ+N Z/wb6HDjj/Hsapzw3H825trZ/8y3w72O+o+C7g/V557W7+A4n2pM0n8XhHx/ Saj+LnCdvCiEC9Zf1mvWatb03vY//X2O48na3de69OGZ9mNv2yWGuZ79gL3g 8pC80O/4zD7RJ9Q/KA8K9QxiiXg5LxTzK0PnYW/gXHFNaLYYEOrr7DGcM/r5 XORXh3oM7Q2yDv3Ryz6kL5g/S32Pq2yfvK/XzvF+s+2PK31+7sm9FznHuAd7 HG0fYfvznYf8PtdraI9n7++1xObpxifP28/3Wuv6zlrNXGDeNQ69Y5/m7DHE MnWJxyGW+e5G66x3ja5w3lHe7Po+Mn6v4Tf5/STwYV57T6heVwPdHJpXtvn9 vaH6cKK/8T2//8X6w2yTdm4J7bXDe/J5u3sJaw3PwvuzvjMfa1mubT7K8mjL 1Y2zA22H9m61PNl61LnNe3FfrrvDdrjnnX5/t+WC78D78lx8d5d17gvduZp1 x1h/uN9TfjhUHxv6/Qjrc7+xvhPzcpzfkY8PzWMk9if2mAaWG5o/YPlBy3WN l8m+42P+Vtd6E21jos9DzEzx+Rp6j7HW5/dHrEO8THK8uM9frU+fPeozj/d+ XMsaxb7LeePJELY2G2N8buczELus4U9bbuz9x9nOUK+tNM6p1977T/EZGnkv 9utnvXczcz6z/lU4X3h+6j5nnfaWiza4hnWSNZh1mfhn7WENYg0s9TNr3kf4 f65lKo6raCfVNx4Gn5zC93ugqak6/gj4NyHsT4L8Ycon39KHqf2+5t1S/eHv 4O+H+tCzKVu08zrkDSFs7ga5Ueoe1H0hpb8G9Hyqv70Mvi6E99W8Y2qu+ZF3 TvWZN8E3hbD8CuSfQ3nyFuTKEDZ3h/yu47g/z5iq6dNB81K1szV4qX37NORp qZyvB/5kKi/rgE9J+bgVdRz3vVJ61Pk/eIdU7JqBzwzNFPT3RyGfvwOalapt 34EeT+X8fuBNUvV7emoP2n+fZ0thel/wfVJz5Ryvof4e4CtC/Wom5Bmp3vs/ 0N6pejybmErNHW8xB1L9nb4sC/lzKOTrU7WcZ6zlc14L3i/VQxjzpcbZVZAv T/UP3mNZ6C5bQO+m8F4BejWVc5tBb6dybjD4gFR/uJm4S/We2+j7VG/7wfFg LOjXHc4LYm1JCG/b7CP6Zwz47an5ZT3otVS9O5cxT/Xvn0AvpWrr0eBzQzNX d8jzQzPXvZA/C81NBzE/UnPTHPC6qf6wawo3xExbxjA1K90J/kloxqEvh9if xFpj440YXxvC+YupODFGF0M+P5W3l4H3Ts0TG0FvpPrT/eBfhGY35m55KH9X glqk6uihjHlqpnsihV3i9r++A88f4EelZvN24G+H5rx/g25NzSr05Wj787c4 O9Yjwd8MzR6jUmuoz7jd4tgdAv6f0Kx5H+QaqRl0oX1E/7wKuig1I53Ac6Vm o8fAd07Nl924LvV7D2PVMRWvpuD/CM0670HeGuoHl6Ts0ubJ9HdqLqyWyk/i pwfzNf27EXin1O9MPO+41JnHg9dMzccDwV8PzU7E7CDjlj4YkfLDvyBfl5pz XoPcNzV3DUv9jsa5iDauSdn5J+Q+qbnrhtR6rl3k+DF2V6T0qMP86+8c/NS4 JCYZt3tSsfvc2CVu26dqDfN3IuTaqdn9LvDqqfn7SPAjUv+HXZ06N8/MXBzu fJznPKHPP3ae/PZbGujBVI8lTi81Vhc4H5gL3HOC92X+ne0cJBbuNh5KwGeE 5suXQW1SM/YrkM9J9a+zUt/4/kvnAPF/Bniv1G+KXemD1Bx/HHim/ne6IGWL dhjPsY5pT/BTUr9TNgf/IPW/xGnModT/DNtDvYp9ilg7L4U32u5i++yH7DHs L++A/xKaXZjHFzqX6e/j7XPi+iFj+1dKEbib "]], Polygon[CompressedData[" 1:eJwtlXmw1lMYx9/e8/xhzDS2qEG4lRaV1LRQaVFp03ZTSTJcSUMqRpSiTMkt uSpUri4xTGmxZ4+xtEhoUVH2rdCgxZKlfL7zPX983uf7nN95f79znuc5zykp G1s6plgoFGZAQDd+esKlqVA4HXqh+8Jl6DOgH3ogXI4ugfPRneESdG04Mfyi UvRF0Bb9JPZcGAyd8JdpPPk/s/C3Yc+EjnA0/kKYiH5Q4+g92AEwEIbib8HW 1bf1Xvx24XefCnXQH2BPgTawGxoydjG2PzRGNwl/S+/YAG9Ad+gDb+s94bmH CcxJ6Jrhb+md/2o+/nzsAlgLH+I/pr3DetiE/wS2FhyHfh3uQy+Cd+EF/JnY AhyPfjP8rip4C70BHkb3hmPQz8B0dCW8A0/h34E9UnSsi9AqOeaN0HWhR/Ke /4bX8Oclr6EHejm2XXKO++CvwLZPznFJOIaK3Wbe/xf2ZfwK7L36Pjrl5/2g FXoptjUMgvfw38f2Td7DSjg5PLdO8rN1uTY051ievRJ+90NwA/pGuBa9g+/f g96Brg8XwKcwJ6wbqqbQg8JrvSJ5L/3xh+c9DVFthp9tYc6AcA2rdjXnKPQu 7HjoAldqLmxl7gjFBD0s/N8yxTBco6rNm3Mt/IddmFwT6/HXhWtBY23QGxWD XI9dtVbsadBBZyac48pc48N1tsLf0ho2o08I19KSXGuHsS2Sa061Vg1aJtfc kVxDqh2NbUR/h20Ci5Nz31t7yjXQMXyGdXaHJJ/VDmGtM3sNehSMRG9jPdcp N2E9irFJ6MkwRrlhbDt2Nn6nnLPR6OvDc7fz/Fadbfik6P+MQ48NP1POx6Nv Cud+tGKMviWs9Z9nwzWjWrkTpqBvD397nMbQM1RD6F2MdQ/3NPWyoaq7cE9T L1MMNinv+OflnGyF8nBu6iX3qgvD/1XPGom+Gj4uOiZl6KvCtaKxqTqb4bXs xJ+OnhbWWtNc6Vy7XeHVcI9Qb5iTz+o/2PuTz2w9/Prh3tdcNYD+GXs29IT9 8LS+kdwjlqF/wZ4DveBx/B+xTaEZfA+PMjYJOxn+hFX4s5S35LMwTznIZ+JL WIA/Ibknq5ZqhXulamp1rjHV1iH2OB/9BboRdNM68ZtB5+QeP1Oxy7FVjfwO zzF2V3JPrEJ/jT1LcYca4TOwJNf8YvS32MbJPW4NvBReezWoUG1hGyR/cx+s YGxKcs9siW4d7lU6k6XhHqXepDvtJ52jcGwVs2/gkfBa9M2vYFF4b1rj5/BA OJfa81r0mvBabsux/iFrxbx6OAeKve4c9dZDOfcVOfafJfcW5WB1+I6oyjVR qd4TjvWEnPsD+SxMy3v9DTs1ec8rw3ea7jKNNcdvEe51itFeWBquFdXUr7A8 XGuqoRfDd5buqrtzrg5iy5Nz9nz4TtJdVJ5r6Y88VzXVHv+j5LtZZ+x/4jEG hw== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWXeY1dURfcDeeYCIKEqTFEJHehOkqqBiA6lGFBDQ2KKICIpYMAZj7xpr VFAwEBsaiWAghkgMRgNLXToIAktfylJ2yTnfOe+DPw5zf7fMvTN37pnZR53h d/S9vWwmk6mFf8pBrs/LZC5LmcwGyIsgF0MuB2pnM5mzgd3o247vtcA64El8 XwdcDEwClqBvJfAHtJdCFgCPoJ0PuQJ4Bu0hwCXAC8Aw4FJgLLAG41uBV9Ae DlwOvARcn3Sm54ChQC/gVWAEcAXwOjASuBJ4GJgILIOeP0FeBfQB3gRuAHoD Y4A7gWuBbXnal/YU2ib6YIcl/bAL2AhsAna6j98H8rSe/tjt8R+Bg+6jvr3A ZmALsMfj/K6OvesBdYFi70fdx4EiYD9QJmkP6jvic3Cfw57L70Peh+uPepz7 ZJJ0cP2EJJ2lwDGP81xlk3RTR57PQd2/QvssoBoQSXtTd0oa53elpD14xmzS OHX/hPYWoC9QI2neqUDFpP1p32a3K0CektSX8TzqK+u9K3r89KS9eZYqSWfl d2XPLQec4XGepR9QHqgKnObxPNtUwXrP9Bx+35sUd0W+l1N8bq6jb+iX2t6b Zznbeqv4/nhWrvuZx3mW/t7/F0Atn5Vr6nhvnuWXnsPvmra/suOiuv033Wua AY28N8/S0Hr5Xd9zqaOxx3mWbbQLGAg08DjXTPXeTYHJPuM5jpetjumPkuKg OTDTdrawn/bbV//0OdoAc71HayAfWAx0BBb43G2BEuAYsBMYDQwC2gMLfe52 wA6gELgaWA4sA7ok8Ql5ZYnPd8Dn6IH+bkB34EKgq7+PAp3dvwooAM5P4gZy ErmJfEVOyjdHkecW++0e9B7FjAHgwSSeI2+tMWdss7/IVeQhcgL5jFxF7iBv kcPIF+Qq8tMmc812rydvkZPIC+OSePCnPHETOXW1OanQazb77fINk0fJhWvN STtP4q0dXkO+JL+uM2ft8rzxSXG/z5y05yQO2+15NRxbjMdC8wT9UtExzxgu 47jle9lp/sjxWbHX7Pf7Pm69RzzvgDmOY3vMHzkOO+p59yfxV4l18U3yzZf6 HHy/X/iMLZP0khtyfEbJNQfNd9yPeskVyWfie6cu8ha5ibzA/cklnMfx6ra5 yBxWan2VbT/3OM3f1EseyHFVFY/RRzWsi3rP8Dyur+mxCvZrjp8oq9pHlXwW 6uK7r+W5fKfkiNm+r1bWSw7I8VZtr6nsddxvQBJP/dy21bWuM60vx0+U5Ajm T+ZSxiDXN/B+7wNTkjiEe/C9N/S9tLBe7t/YY+Qk8k6TJH5r6j3IOc2891Tr 477kAL7jzraxpe+b/NPa5yDPtPG+c+0Dnu3XSTzTAfgBuCuJe8gxfNOdkvit uW0nN5FDzkt694u9L3mLnNLN4+SaC6yX+sl1g5NqJvII+aaHz813R37g29qb 9K5zHEI+4fvt5vnUy7fKN7veXNHLfeTJtvYhdZFP+HZHQd7ic9yYlHvL+65Y /2zxG+/tu/tNUo7k3f426bu/x/p4/k1JeaOJ46N/7i7yxKHkzz2Qu5K4mnZf k8Sftybx12rbPcLnpa1D0gmbhp5k6zDbS99cZ/+QO4fbf+RU8il57mbIO5Jy B+93lG3vZ/tp+3rgXdtGu2+wfbcn2Ua7bkvS1d7rb3Gbfh1p3w6wj/p7/DbP 2eDz8WyDHFOMgcNJfEV+GO14Y/9+oCiJczcAd1vPvqSYGOtxyq324Rj7kXPG 2Z/3uM0cscj2d7C+0dbJvcZ7zkHIAz7Tfe4n5z+QxK0lnnO/+x9Kehfneh3P S877X9IY+0s9h++i2P08w+NJsbGKeTqpDqDtufzK2GB9/jvPYQwxrzOn/z5p zgrP5fdy583XfCePJuXsXB0wyboneYxrH0vSWeD8+3LSPdFnT9mH9OkTSbHG uY9ZJ+Pu6XQiTp9NitOJtq3A+f3FpHhk/D6fFL+c87DtYsz+MSn2ySnktTr2 8Tv2M+/hbd8RufO9pJhkvDJuGct8b+RJvj/G71tJ75N9Uzx/ir/JlYzZN5Li nXw61TpmAH9J4tlpwAee/2d/5/qnus2zTreOGW438/g0r/3QY808PsNrmVvI weTkj207uZX8/O8kjmY+mGnfcM4n1jMrKWeQ3z/znBaWn1nP18C8JN5n3+fu /6u/Ob+e9dS1nOV+rpvrtXOSckkuT8z2ui89v6X75rj9d7dbefxv1tnAOut7 /CvP/9S2Nff4PK/9yP20l/lrvs8z39/0z3/sK3L9Nx5rY/kvz2/o+Q08d0E6 kRsWeJx7/sP7cs631sN3y7zGuvp74Luk2nuh29TT2N+N3Pdf95NnmEdHu3+h 13a0TvIA+WCR2+zL9143BWqSrHh0YxJHcN0+9PcI+Z65i3UYOXwH+rqHfMk+ /m1JvmLOYZ5mjj7iMfYzp/PvB3IUawz+/cO3M9nfbA90m29nN3RfEIqdkZDr Q7mB+WyX9ZM3yL/k5XI4e78QF3b1GZi3jydxIusD5gm+YebWTZh7Xqg+oj7m S9YbW9DXOfT+tkF2Db2nvd6LHDXW32ucE/e6vx3mjgjZQX2F1vmg27S9HMZf CPHh1ZD9QzYNg6wMG9ah3QvtI6F4KgP5VCi3Xwx5KBQ3l0GWhOKGNRj/HuPf UDei76yscmdbtKtmlSeHo10QysEHIC8KvZvvIBeGfqdpBXl96J6XQS4N/U6z iH4N/U6TD7kkxHffQ/4Q4jXm4fX2b3v0rbMfamL/BqFcWAvtIaFabIvjgzX9 4+jLhGqUNZBrQzzbGnKlz8N5zN+leSf+huzuez7muyZvM7/eazBnM1/TNyvt H8of3ebfnmuAnkAf7HNPqHYp7/0q+N72OO76YnxCqG7I1QTMEXw3N4feDnWv tv4C79HT+6x1u4vvrPNJ87oby9y3CVjhuUdsO8/Uw/N7ep9Vns+8zdhhjmuK szwT6qM9rGlYeyy1XuqkDXznfONDQ3cz2L48bv9ei/5Tszo7/cmaI1eHFDuu 2XfQ/RP8XeS/Ddk/wbpKbe9h20NOOO79OlmWuL3L7Z1ef9jzud+hdIIj2e5g Wez2ZMZsqCZoBnlf6PfEEuul/rfQ91qotngV8qVQjXINZMWsYmRMyC+DbWep 1w5CXzYrX5baV+x/Ef3PhmqjIschY2NA6A0w/q9gnGfF17zb5b6LR3hXoRrw fMhdodx5Ds8Yqt+fgywbqru+JgeEfovle3rC5/wKck7od9mekPtDOY8cUC3E A7T1Fdv7AORVobwxn3wTqo3GQXYI1eOPQk4K1aS073nbOBHyoVDN+zHkJ6Ga jNxTL8Q/qyDbhOqlz8nloZrs9Kz4mlzdklwYqr2aQ34QqgVnQX4R+h16FN9l qO7uBlkYqksaQ1bJilfrh77ZXgD5Teh36LmQ80K1JjmpnXnpzhA/0id3Q0bo 7bSgj0P130zIT0O/bTOOxjuWyNm3hjihE+TmUN22OsSz5NhiyEtCNVF1yEah HNcFcmuo5uPdNvH9Pg35ZKhOPQp5aai+mAY5NfRbfink5aEapBrsrg5sT5K9 Q+33IN8P1dCMl7scMxdC7g3VRrT1XdubxzsP1diVyAEhXpkOOSNUc1dg/IZi 9m3IFKq3Kd90O9/8wnjm23rD76sj5MZQDf0tzx76m+H10N7ctwz0Xxmqd76E nB2q4/mO3wm95cCcgaG65EP6L/T/FS+Hcirz6bmh/wvh/4MwbzCfMXf8H5Is ZJY= "]], Polygon[CompressedData[" 1:eJwtlmm0llMYhj+ts5830SiJiMxLGhQykylJqtOKRppEqnNKIgkpGSJRSchQ lKJSJKSoFBVNGs7hKE0cJSJDpnDd6+7Htda13+97p72f595vra6F+QVlcrnc JMiDYZHLDYVBKZe7Gz7HN8KLeEu4Bv8HluEr4EF8ONyD3wtX4b/DQnwxDMHv gzvxgXAt/h98hq+CXnj1LJfbjbeFSxjvgln4m/ABvhie1r3hY7widMOfgVPw tuFzz4MO+CFcrwT/CtoxLsu4CC+G1xjPhFF6ViiL94Ve+j8TMAd/F8YwvhoO w+8PP3spv9fgWt0Z38J4D1TXu0EBfhq0wG+GnvguyOP/bRi3w9fC4fhD4bna z/Wq4g+E53ov4zV4ZbiJ8fMwCM+gI94P3sMXwFN4M7gOT9xjHb4eVjJeGz63 BSzCK0DX5DmcgZeDG5Ln4Er8F5ivuYZzdO8D76d3uhz/SXOCz4MueBXuV4rn wzKtJTyntYWP8E/Ca9Ncc4j/CUu0dnAp/gPMwefCbXiPA/PVGy7CS2E6PlM1 oPWEG/En4R38UOicvEbz8fLQJXlOPsUrQffkZ7oA3wFTtfbwKn4wdMIfg254 Vd5np+ZSNcR4K7yCT4ET8IMy1+pZcDTj3eHarAtv4G+Fn60p1ML/Dr9rQzge /zfcK2dCf/x26IAXsd7H4X+Ee6UBVMPvgD54GzgW/y28NmfAMfie8NzVg57h OdTc3SpUWzAA3wo18b3htasPd2ltw//tC6fi/cL3qqkaxkdAe9WG5gg/HYbh Q6EGvjO8NnXg4XCNq7aHJNfi9RzbkFyT6tXl8Gxyz47EHw9fayPvX6js0Jwk 96C8TrjWdWy05jY8V8MZnxx+Bz27ekq91hIKk2uoDPfPZ9wfX53c++0Zf5Gc AQWqn8zZsAP6qB4yZ8N2mKBa1v+53yPqQfyFsH/JsYn4S2EfwbHxqnX1dPI5 qq3X9Y7JNTY9nDnKGh1TFtaFkcmZqN6eDI8m9/gU1R40ST42CX85fK8Srj8t nFnKKl2jNx6Ze3+bepzxOCjO8zMtDGeosnNcci+9DaOTe2oMPjY8tzpnRbin 1ctas7nhTFQW6hz12ofha6nn3g9nkrJoLMwO94R64QlYGs4EZcH45CxaEnZl knp5Xvhc9bSyaVb4XGXUkfj2cC/WhlbhNdbaqsbL4504thnfBN+Ha1S1OTs5 uy7TMyZn2M/hHlLv6JiyqLHmJDmTlIVXwILkTPwx3PPqdf1H2bxONZGc0avD mausnZCcPavCrgxaH95DtXfqnF/DPale1D2019ZTTSXvudr7Lg4/u/bAbeE9 RnvLZNUg3iCcvT1gC352OLuU2a3DPaleXKMawmuHe1mZo2w7N3wtZZxqbWo4 C1Vz3+FHqefxGcnZeT5MS87Qb8JrorXQMWX1heH/KrN17rfhrNU1cpkzUNm3 MvlboT5MTP5m2IyXQGvVevK3QxNYlPwNoWw+IpxNyugT8WqZ91b1+yjGneHr 5IzSt8RJjBslf1PoW6BjuDb0TaBvl2awPPkbRntTU1iavEfp26R5+Fn1jfJX OKOVzfrP/nDGK9t1jYpcf1P42bck752Nwt8GWg9luf6j35TpxeE9X3u95qAo /I2hbwvVQEP1dnhtNSf7wnuAsl9zUoFrDQhngd65XOZMU5Yp4waHM0FZoAzU Xq1vDn1raM8eGN4jtDcoMyvxe+XMtaI5yzJnorJQGb4BrwKtkr8B/wdn0Vxn "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0ulWTlEcwOETkbnMZayUKZKSu+hLl+AC+OImSKGSzPNUocwyRsYQyRQi GSNDpsyevd4Pz/r99z5nnfOu9+y0BYsKF8ZFUVRPFmHux0CGMpzRpDCRxexl iBv36GCtCvfqMk3Uah2mNZqkxTpC94Xn6X4dqSX6kCe0s5t73CDZ9QM6Vg+G 9+tNTdXjOjku9pvTtEUz9Yxm6Fmdqrd1ujboND2nL5hhbtRHPGYVD5htP5tZ 5DCHVvvnyTeX631mmrOYwmnrdD2lt5hnLtMKTjDf+qQeo5k861J9TifPOBr+ W/tHdJKu1Al6WMfpIR2vK3SM1ukorQ3fRpfrXXbxlA7auM4g13fqAN0Rvqte 0wTdHr61btP+2qTxulX76Bbtq1fDudDN+o9NUeygXJG/bOQ3G/jDZX6xnh+s 4yeX6GUt31jDdy5yh0ousJpcz59LkfkLX/nEZ3pYyns+8JZu3rGEN3Txkte8 4iMFUeyM/wdp02Ud "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{312, 311, 315, 640, 631, 632, 630, 634, 633, 543, 636, 637, 635, 639, 638, 544, 642, 643, 641, 645, 644, 545, 624, 699, 608, 629, 565, 627, 564, 628, 542, 314, 313, 312}], Line[CompressedData[" 1:eJwl0ulSjQEAgOEvdyJrEmKGEipZ4ohKixMxTuWoqOGHS8haJKWihJwihNJi ilAUKUu6Av/dgmfGj2fmvYB3aaQ2vyYuCIJewiLEH9YvCYLHHKSHHHpZR4wD dBPiEUk8ZD/32ccD1tJFNp3s5R6JdLCHO+zmLmtoZxetZNFGArfZSTOZtLCa W2Rwk3SaWEUjO7jOdm6wkga2cY006lnBVbZymVSusJxLbKGOzVwknrec5Axn WcY7IqSQy0cOsYkNTFBGHk/Ip49xxjhHMu85TA0VTFLOeTbygQJqiTLFKZ5R yFOKeM5pXlBMP0d4SSUDhHlFCYNUMcRRXnOMYaoZpZQRjvOGE/z1zGemmeEL X5nlG3PM850f/OQXC/xmkU8MEaOFOi4Qjfv/5j9Wn1Y5 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0zVs1HEcxuE/bXEZgQAhKQy4Bnd3Le5Q3Frc3bW4OxPSFqjiA1Kgjktx nUggQVaeC8OTz+/7DpfLJRcZHRsVUygIgu/cCwuCDJqEB8EZGkd404hsd1MN 5zYVSLBF6QD60p9+xNt7ax960IuenLd30+50pitdOGdvp+1pTVvacNbeQlvS jFx3c83TVhpBR/LdHfShdtLCbOKxe6M+0c1ahG08c2/V57pdi7KTl+4d+kp3 aXH28ca9V9/qfi3JUd67j+gHPaalOMFH93H9pCe1DFWpQXW+2SvpLU3QHxqv PzUx9Ptqsv7SJP2tKXpH0/SPpupfTde7WjlUMjjNV9sp/aKlNYeb3pmU9/6s 2XpDK4Y+m0Mc5gDv7Ae1BHt47d6tBVpMs7ju3VAbUJ8X7ji9pvW0LnV46t6i V7W21qImj9zD9IKW07JUC31XdxWNJNF7kA5mIEMZwkX7CB3JcEYzikv2sTqO MYwnmiT7RJ3EBKYwmWT7NJ3OVGYygxR7rM4ihjnMJtU+T+czl4UsIM2+WJew iGUsJd2+QleynNWs4rJ9ra5jDRtYzxV7gf9gPnnkkkM2WWTygPth//+v/wAR cX+u "]], Line[CompressedData[" 1:eJwl0DlOQlEUgOELGAsLFBwSCiMmYGtB3IiJG3ABsigZHAq0AxwQCgdMHHbh AJpo44T63VD8+d457+bl5i1vlte3EiGEDa2mQkhqUlNKK6sF5bSmq3hmwmHN 61YXdtfxnee+uvozl9hTQne6tMtzVveaU06/9jc851L8XjyrM43sTvnDDrM6 0bf5iF88ZkZtfZqb/GCLMzrUu7nBNx5wWot6MBe5okK8u3mfr9zlC/fiXbjD AWt8Zp0dVvnEbT6ywmFq/D//AcMyM3k= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1235, 1234, 1370, 1536, 1674, 1578, 1673, 1579, 1675, 1630, 1818, 1631, 1652, 1651, 1538, 1681, 1682, 1680, 1684, 1683, 1539, 1686, 1687, 1685, 1689, 1688, 1540, 1691, 1692, 1690, 1694, 1693, 1541, 1696, 1697, 1695, 1699, 1698, 1542, 1653, 1806, 1632, 1679, 1580, 1676, 1678, 1677, 1537, 1238, 1237, 1236, 1235}], Line[CompressedData[" 1:eJwl09VP11EYB+DDhvzARFQsUNEbvAADAxNbVHCD/wCQW9Eb3XQMFeMfETux uxA7ELsTxMYOjOc7L559Tu2827tzMkoriufHhRDqaI0PoYmidiGkJIRwg5tc 4zqNdOUqDVziCpdJ5gIXOct5ztGFes5witPU0ZkTnOQoxzlGJw5zhAMc4iAd 2cd+drOXPXSgll1sZyc7aM9WtrGJLWwmifVsYC3rqCHGEpaSRSUVLCCRjWRT xTKW041bDGEF1aykO7cZyipWs4YepMRCKJHDuMNw7lLKfXK4x0MeRP1zfpFM jeoZj5ALyaRnVMtamRzJI0bxmHn0tZfGaONycllML54yhieM5Rm9ecE4njOe Jvrwkgk0M5GW6H5ek8crJvGGNN4xmbdM4T3ptDKVD0zjI/34zHQ+MYMv9Ocb M/lKPt8ZwE9m8YPZ/CKD38yhjQL+MJCgD4XyL3OJMx8U9c1bH0x69OaJ0Rb/ /y/8A+RFbGo= "]], Line[{1575, 1338, 1342, 1346, 1347, 1348, 1349, 1502, 1629, 1805, 1628, 1803, 1627, 1804, 1646, 1802, 1626, 1800, 1625, 1801, 1645, 1799, 1623, 1797, 1622, 1798, 1644, 1660, 1618, 1794, 1617, 1662, 1642, 1656, 1616, 1639, 1615, 1815, 1814, 1572, 1813, 1638, 1650, 1641, 1821, 1640, 1657, 1574, 1817, 1621, 1796, 1672, 1619, 1795, 1809, 1808, 1577, 1573, 1816, 1643, 1620, 1624, 1575}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.6749999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.6749999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVsfW8LEEe2+xIUZFo1iCFQsHu2KXaOwVa8QSsZtg740idkPsxi72 9lgRERFRFAWlPSAgvdp5/dY6v33WOq4srje535v7ffmL9Vt7Zth75szMnj2z n+qjpvQdk9fExGRoAROT//N3wbyPDcyWhhhG3lhsGNr6uNLhyuSg4/0eCpfI eyV7WXdv4QFmc0ufOLNfmPqDOj8Pudr2utSHqQ9TH6Z+/iOvn/Qd4yf1YerD 1Iep/0OhwhN/6vBQ6sPUh6kPU9/yUoXxrfoHS32Y+jD1YernmVJrbP7xz6U+ TH2Y+jD1X22oeDKmdYTUh6kPUx+mfr+J5t/dvRUl9WHqw9SHvaPzPB8SeUox tK99/FjPGGWIo2f1QgG+wvHpw+OnbQoSpvy3VRs0dH8SK+Vh5G5ZTY7OHvFK 5DDyD/db1R8al6hEbm+2aJzjE8OLmb8Vazh6s9Ld0KNPxjx/YeyD964c0rpx y0vC1C/8ZPfUNoWjpT5MfZj6MP0BNzmycn/B4q6K0/Hfk6u7vRR+sfLEZNMq 8Ur3cpvbXHR+IHL6B0ZOeep3GX0uMX5PgvDJ1oZJ9+snK+bHS/ps87wucsYP +xg/GH1hyqM/5fX2MH4rAmtvqnPsqTByxg/9YeSMH8z4leljNA0bc1BxWDtm w8zD0cq2/O/dPFY/VPzHTioxuGmsMn/9xJ8HDl9r+Lp6wqJv++0TPm4e2Tv/ eKNiHXXDtsfuJ1IfrvQ29n5sSoy0P2DZh+4eq5NEP/SnPex92228v+Glv7SH vnr9YMYPZjwYT5j/992arcHt5jw1WB79vZ/l1KmK25HAemtGBgln+hd2Dur6 QPho+NI9bRx8hWW9UXlajSy7gCbXhcf7+UXeKnxKWL7Xb3+9mDz8gva9qoz9 zWa6XLboeVo4LOTw+XPTDFK/4dv4pyvtb0t9mPI3zY2D9vreFN76MHXA5NA7 Uj+hYb5Xay8GSH2Y8pOX5fRvnuQvvGv7sromJoFS/3pkybj+94KkPkz5ojPX HjSueCQ8q5d7nTulnkh9j41mL6uFPZP6MOUj6mzbf2TrU+HueXdZuNYIlfqT ulhGx6aESX2Y8mdCDuydefiF8IZnP7ge2Rou9T0/bE8dsDBS6sOU79Q55EG1 sAjht17DSrnWiFLy7XZp5lvq8mffN98X5dlPYfZHmP0OZv+C2Y9g9heY/QLW r//od2VdsFPfc97CrN8w5VmvsG9XxbnFanZO1PRRv98n11Yn5rsY8tn8Yn2E WV/4/0mHs+6dyJsg85X1AH2oz3xvYTt9nXIlXuT0L+1Rn/aYz6yf3ssNCc7d o21YP2HGG2b+OvlmTNq+JVopnzCjZfrmZ9Lemot35re6/eiz/bGsoa/11T3a /mc7wyTkhEOSMmiCafvspyFKt7AxjYqe+bReLR51eYF5kPJb2+CsKyc/rZ/X lt2YbfvEpsSS4JNJE1cJP+v3asR0n9+EH4W4+C90PytsO/PwgaH1Lgu72ztE BSbeEvb1nBZge95HeGeoYcrJggHCLRd3Gjth8gNhp/X3HOdVChIu2ex7B6sF j4W7tAv5sYPlM2Fj7MhR71xChM0yYycUswkTfn6veaPIPuHCb+zfNX5VO1K4 836bY97PNB5dP6/X/eNGZc+u6F/NWz81tAkMqLXiU/+Pj+7XyavoA+H+vdc8 XX3hmjDjB7foOqaivekVBab9e6aFrE5ZvxSuPKj7kfUJL5Xy1QKV/KPuS3lv v9lzpoQ/Ea5041G+Wa7BSqtVXfa8bqnVbx5e4sTm63HCSxvbWzrNiJf9xvWr 2gvDFsYq+ec825Xx+IESGXv7UL488VL+t/PlG/3cLUE4ueigQwM+alzEreqx kY+ShAfGjKjbZnmyUrN/TuS9MrdkfjqN23Wj6+G94m80cZ+Xf07V6Cv4D9SX 9UdlWX9UlvVHZVl/VJb1R2VZf1SW9Udlvb9KfzL/pL/V+aIfL72/ipz+hfF3 mK+w+blydlEXYqQ95iss/k6rkpMO9/CT9Qn/Y1KR5i2WfqONF/7Qgfxt2t6b v1/+/y87Vvul9DwkfPSK8dHy2BvKPKNP8RNPtPH8ISFhT1jE78LvylxPalHN qBx+U7xgvbHa9xZYoql3/R13lfE311RtveCVcnNrQkq19LNKnfkmfc0skpRd fSwKTjx1TLFe/nRdOd8kxSnfwJ7WWSc/85/oD/fwfHYBC10N+v6tuHVpWttM jfGvWN8p/2L2xyHzHP1FP/wtfXus/8Urdx7s1POhyOskHfc756Mx/jz64c/D 7Mew+GsqX79nXmLHBs3//mV3gbJWKx8ovhOMZzLMNH/c8tn+kS0OJsv/Y33v WfRS/ISop4ZGt1d3MfTztClbdI535RIaz6x/ouKY7EfCx+tntPG6GySMvrRX upely3uvByIP7hk36WhYgPBP4e0WJK+/Ixwf7uOzusVdYfYbGPtp/3AN6ylm hW6IvFkNL4tFI64JJ93ttPXbUSeFI/361hvldVqY9UD8SXW8Npd0OXy3gJc2 3zz7RxcKvSrrh/iPqjwzcXTgrP03hCeY/hSxLcdXyou/qMp/tXf2L3T3nvZ9 nfFO8nAJlPLiH6ryPUN6RPfI1tabF+MfJQz/5EdRXvxBVT63xOCo8oWeCp+q HBlf53SolBf/T5X3vD4+IqzSC+GOL2dlzI4Kl/Li76lyl5YXp3zvoa1nx67+ Mn3opCjlyoxepcac0fanRecMZ7OXafvTmqzhl8oeuy688yfPWz1zTglbWbzJ aV3eS9j//WX7tlUvafNL1Uf8R/X/j0n0cax6QFvPFk9fM83il1htvVfnA/L7 3vcT8nyn7U+J3d1SChd4pXzcnr5ky4vHSlPf4UOmvX6p/LLwetHEO5q/iv+6 o2Nv1+DdL5Uz+/22Wg18qAx80HaD1cQ4+X/sP7Rv7fn4x5jzr7T1zmLrlOT1 iVKe/Qn57jnP433bJSnuZqdaJ+/aqdTqYW9uMenTeXnTcoejO4Okf0xvVk2f UFNjX6/kcote+Aq7FqvS+E3cHeFdFyfnK27jLf35bGS7GA+r28J7NhYNc0g2 KJW6teiR7Jyo+LSr0qae8YKcd/F3b9XPs+CbS4my/kQcDDF9VzxReRHWfMTc XtfEH/bsei+8at+NMt/Orm5pPavSAmG74MenIn4Okf/vcMjWwuK1xuuGNGrv 0eqZ0s7FztZyboxi2rFVj/y+t5Vp476ZW7p+gmJxcZ7D6+H3laWVZoeGBsTL +bLjw7hG8X3OGdhfYfZXGP8Ipr5PNb/Ir+ttkPow9WHqwxYnktuHeT/Xzstn DT0t3kUK39+4/F1o6ZfCjk69DrjVfSVcxL5CP7t2ycJBm5MXmBxJFa65wv5J yLl04emzztY/ezNT+PrYyktcA7KFS/V3fuYY+kZ4RMeoRl1j3wkfa9J5ec2M D8I5NQ49z8nJ+Sz+hX+AfTD2wdgHYx+MfTD2wdgHYx+MfTD2wdgHYx+MfTD2 4d9gH4x9MPbB2AdjH4x9MPbB2AdjH4x9MPbB2Adjnz7+yPzFXhh7YeyFsRfG Xhh7YeyFsRfGXhh7YeyFsRfGXhh7YfzlU99Xf2xunSL2w9gPYz+M/TD2w9gP Yz+M/TD2w9gPYz+M/TD2w9gPYz+M/ROu7Snn9nOq2A9jP4z9MPbD2A9jP4z9 MPbD2A9jP4z9MPbD2A9jP4z9MPabNajT76vraWI/jP0w9sPYD2M/jP0w9sPY D2M/jP0w9sPYD2M/jP0w9sPY/3DrIfdZphliP4z9MPbD2A9jP4z9MPbD2A9j P4z9MPbD2A9jP4z9MPbD2L+iQMNHcXaZYj+M/TD2w9gPYz+M/TD2w9gPYz+M /TD2w9gPYz+M/TD2w9hv43SyzJD1WWI/jP0w9sPYD2M/jP0w9sPYD2M/jP0w 9sPYD2M/jP0w9sMS79DdR+GP0x8w/iv+N/0n8SL1vFy8SFTmwJAU4Zuzxjb1 q5YmPNsY52TjkC7coI/jqeMHMoSjLqekf5OYKYy+6Md+jT7sZ5RnfYdZ72Dm P8x8gPk+iAfjn3O/VCx9wZqCAckSTyb+jL9P/CTy9uDXdsnh0r8w/uKCfTX2 5ikQLXIYudnSV33OmcWJHEZ+abTXx8nNEkUOI6//2+Wg0vtTRA7LfdiG6pZJ J9O0+wWVkfs5L11050qGyGHklabEBe/xzRI5jHzisB4NFzx+LXIY+bkeJ5YO jnwrchh5wTblQpslvRc5jPwHyzlWpd9+FDmsv7/kPMt8honvcx9AvKR5yPYJ x4cclvMKTDxrqnmoVXVbL+F1MxY6mlnvMhAfojzMeYd4D3IYOf8fnuFpv/VC YJjchwQfTX1TJo9ReOba8/t8v44VLjtpof3CRgnCA/fWNKlSM0X4gPuK/tkN 04RfL044HNgqQ7jT9N75jnbOEvYYdWrgSvvXwsY+Xx93GP5Wuy9tO9/U9sf3 wosbhQ+pPOujcL06pQsW+jlHmPHgPEF8gPtfxmPJw+Se9+bESfxQf16kvVWG tbtbZEYIsx7DdXb2651cNEaY9Vnup+ZX/bC3Zrww6zXsMDj64JDWScKs33Ce Hf0PFaqbKsx6DvdecyFPdNN0YdZ32HOe2YCrbTOFWe/hpImLjm7rkS3M+g/b DIrJP2vgG2H2A3hNV7vBfce8E2Z/gENbHD1Rf9oHYfYLmP5mfnE/x/0Y48d4 0f+UZ3woT/8jZ3yQ0//IGR/k9D9yxgc5/Y+c8UFO/yNnfJDT/8gZH+T0P3LG Bzn9j5zxQU7/I2d8kNP/yBkf5OzfyJlfyBkf5hPzDSZ+po/3/Kv3mf/u/eVM x5rfeH/B/WXghZDq3m+OG2A/20XrH93aZ8jTccmEpALhf3if9muN7uX3VjOK vE3esjcGN48VDgkPmVK6V4LwpbA+6xwapwgXvn/aqChpwoOuVGxVuVuG8IEj P7tk9c8Sfr094uWDUa+FO63paHNk8lthj3kH3VfMfS8cM7HYq9HLPgrLeKr3 Ebnd9+V2X0d/tW5WusLuoynCkWFej0oWTBVO2bWxf7l0jT26Ny+7uHua8L4S FT2WN08X7n7+gn3mBo0Hzd8e9GZehrCJhY3buCCNS8ZVKzfpaqbwGddrgU8r Zgnjz8H69V1/H8f9G+sLctYTmPUDZr2AWR9g1gOY+Q8z32HmN8x8hpm/En/P 5T4woOS0XrWitHgx/uzvJ84aYopr8W69P8t9lNyfqP6t3J+r/i2Mfwvj3+rv F/Xxc308Orf7RPF31e9Z/FuVxZ9VWfxXlcVfVVn8U5XFH1VZ/E+Vxd9UWfxL lcWfVFn8x3/1PlAdD/EH1f4sviy0/fxlp4V3fp9nU8CAbYb/3+8LY8/sHLl5 Y5g2f1puer4oMkqbL18PX2X9Vpu/PbItmqeU0tbnrInZ0x6W1dbnToMG+xw1 19Znj64Gs1WW2vpsbFFjxpgW2vrcpM7yu7YdtPV5UYVX1av01tbnQNNes7MH a+uzedZJ/8Bx2vrsk2icc9UxR7tfGaV49Fmj8V91/8V5me9n2bdpp56M0dgj 4WGz0N6pUp7ztKz3HjMyuv6uzf/uA3+Y2XNjmpTnvC3rf943jS8lafVNvJ+d vvo0XcpzHpf9YMr86Q0aa3zGalimlVmmlOe8jnxIaM5Jz1kaT/w1osneUVni z/N9nDu74Xl8ovbe64Zd4+X7H0dI//ZpEmu4U0Zb70d++67xsKRo4eTSxyct qBej7acFboSXNY0XXps6q2Lz9hrviFm19m7VJOF6AYp34iCNd476tuq1Str+ 4PBksXVfa42T+qydvt1C2y9Oer9cX7+jxjZtU+/MstL2j7xnusUU7KPxmkb9 zO1ttP2k995jrY1DNA6tdn5mAzttf/F0L+NmGK9x3RJV7xXqr+03SYtnxW11 0njuxwU1okdq+4/N9BBl5gKNc7sf1L8H0d8X6u87Gd9w597ZE4pq8X/8S/Zj mP0YZj+G2Y9h9mOY/RhmP4bZj2H2Yxh/C0Zf/A/0hdEXRl8YfWH0hdEXRl8Y fWH0hdEXxp/m/RX+Noz/CONPwfhPMO3xfov2YNqDaQ+mPZj2eP9FezDtwbQH 0x5Me7wfoz2Y9mDag2kPpj3en9EeTHsw7cG0B9Me79doD6Y9mPZg2oNpj/dv tAfTHkx7MPV5L0d9mPow9WH8Af17V5jzIcz5UOKZan3Og9SHqQ9TH6Y+/jL1 YerD1Iepjz9NfZj6MPVh6uNvUx+mPkx9mPr449SHqQ9THn8dfxn/Eub9peSX qCzvo3Vy3mdJfokql3go+TCqvw7zPUo+jfr/aY/2ec+FHEbO+y3kMHLeayGH kfM+C+b9Fcz7KvTXy3l/SP9Ivo/aHzD9oc/3wR/Df8ffYrzwp9Cf/YT5px8P /XqNXOLRKjMf9f1PfdqTfDhVDiOXfDdVDiOXfDZVDsv5Ul3fYNYnmPWG/oeR 6/MF6F/sh7EfZr7Q3/Q/84N4IvkW5NOk9u18K3ZqmsTHyScg/6ZboULR1cuk i/+Jv4n9lCceST4MTH6LvDflPkdl1j95f8p9msrI5T2qKoeRc7+EPtwnwdxH wdw/wcTPYc4f+vwKmPsFmP6FOa+zHsH4I/QP+USc5ykPU57zPXIYOed9OV+r jJzzP3IYOfEA5DBy4gPIYeTEC5DDyIkfIIeRE09ADuv7i/wpmHwo5hPrH+sx zPdN/hLrF+sh6wfM+JJvBJNvxPxgPpCPBpNvBpNvBrP/6Vmfr0R8GiYeLfmZ arxF8hV5f6qW198H6e/riIdSX96TquW5n5V8M/U+l/rET6kv8VS1PPe5MPe/ zG/2C5j9nf702L507zH/VMnvg1m/6D/WP5jyMP4DjD76/EbJT1AZ/wjW+0Po z3i3jrmxdKal9p6J75nvVe471e+V/YH1g/w4vk/2A9Yf8jnpf/wnvq+IhnnH tlmlMd8P/w9/gfkBMz/IB6Q/+R7pb9rDfuT0N/IrzqY3D/c1yv5+Kdsx280x +rPzGPEy9jeY/Q1mfsLoD9Pf8Mc+5kP3V4+R/Z/zKXLOpzDnU5jzKcz5FOZ8 CnM+hTmfwpxPYc6n8Kp1VTNjJseIPzLoyBhD334x4n84latxa9yj6M/OZwef /tjRdEaYMiLnp7CL8RGKPl+d+Cz912FYsHeKwSjzta/ziO9GT0lRrnTxr6yM fCT+AuPrdW1zvfGumr99Z2XD0zN3piuzN7bcXmtCjNLybHH/HjuuKm2sZ3qd GhGjjK5Z2jHrkK8ybkzZ2oVtI5XbJVbVyH8nXHnbYFLeXX4PDYNsP5zbeixN iWo+zdg3yqicKB+U0OXKEUPsgOL9J6YZlaeND63fs+GQoWmrFc1Kn45Wcipu XxMQuPRvn5/nVvCnFhVXRStvWxVolVlXk/9Rvl7V6NbvCvxiVMwu1j7g1FST /7v5e3mrbDye/SBS/PlrVvfnbnwVrkwMWxlZ1DlSWTglfMX+qHClkvXYVutW /P3z/fxG1Jxduulz8W9zy/f7s/l8262+mppy4qys55N/XPZjqU3+hgqd6gef rJqmmL5veGKV3T1D2OrMtrULpim/l+5afPfwYIN5t8iwSzbpSl2rept+3vL0 s/NNyjaX9ZEuB+Q8Svz2r84H9Hd5HH800SjnD/7fuC1NB/i8eJJrviD7Q4tt y4usnKt9H/+38gdzyw/U5/+hz9SELtGPPNOUEe2vV+h7zv+z80/BFbO+m109 Xck8ebjjoXfRyq1Ax/alft+r9Ol8c1Z+kxjl/du3G+sG7VOa25ZcHecVqUxu /LSVW83wXPMLLc7bHr9R9oJhRXgVt50pKcqdpPCpJn5RMr4vJ+ddXLuZUbh6 7S6NLv4UpbRbbyxe873W/+Qffn3U7mZc2gtl3OWUOqe/MSquA5pvf1Zkl8F9 zdSBTfulKIejdlS8evGW4eR00/E+K1KV5sPGPs3bLkba/7P5hYZFOQ6N9mjn uabHHAt0fvR5/OSP8g2Hld3gc//7GIl3sB90bznJ5UDgZYX9jXgH+0evVedf vs/2UdiviXfcL9MwveOn8bHddapmn5QHynTnCtcSPo2f69KYcqXLBSrnNrRP Kj9Zi3+UKX5sccHB0UrehOMlJjV9/KfzG/X5m/r81sDXJhn1Ps03/Ltfvw50 9v7ZqGRE+19/ffC0gf5if9fnA3/VN2VThbOHte+jd/CMfWX3fbY+kK+KfuIv 7CqSVH/CRa387grOYy9cEX67rvIWzzW3hRet29g7v/GW8u/mI9If/P8r3Wr9 Pq2Mv7TXrPuhtGKX7gufW1J13+XMh8K/LHm2cEp1jelP2qsyelcDC+snIu8/ OrqvU7Fg4Yy2R3Lq1goVvtB2Ykho7xBh1i95f2NutcJtfJjIu25o+XiqWbjw Fuedlt3rRgrPy5lfqdbVCGHO67Q37t6BqmejXop8aQ/fhi96xAoHtW6w7PzA eOGzl4o6uSbHCc/1LzrpofWn+frc9McLU04p9b59eXl1+xhlmMvKry4NOSPn f/7fV4en+jq+eyX1a1i6hrqPSRCeXjnLauq0JOF+2x6Zdy2gMfEB2uvbcXsr 10IpIh/x1ZGbe200LvjhxRS3Dqna99PaP8a5hMbEE2jPs4mJq2O5NJEfzyhZ eaGdxgMS2nlP7p0u3MXSqs3gyhoTf6C9lBoOsV2qZ4jcxOg0bUh/jQ+E7Kti NyRTeHNlD7dmtTUmXkF7NmV8bGrWzxJ5z4fBt5uP0jjLt/D0WuOzhWMKv40r 1Vhj4hu0ty6v5cacFq9FvvN6a7MykzXudGHyHROnN9p8eDvUNtFGY+IhtBea uv7Vsw5vRZ5wwtMpaY7G7gcDq4U6vxNeEnfNw8dOY+IntGcZkd72TO/3Im/9 W/67d5ZqbNzcbObZ1R+EHwXXStzdX2PiLbQ3P+CHzS5DPop81Ybx1fe6aGy1 Yquf66Yc4Zo+K9s7j9L4S/OXm9ZyL9RvWoxy1NPrVsKDG8LPPMumDL1x64vz mw9m9rG+92l+1TgbNcdurL/yeuusl2Vbxij73R3Olxh2/4vzn70KpJ+w/3Qe CTAvkT68yqMvzoe+8HXohYb2RolHhQV0Cgn6dP4x5hmu+C0MVu4vHu3V/W2U 8t5n2bbseqFK05j72b9+iFKu7CtSq1u1/3w+9bo8W4JfxYVL/Gtlse2N3jQN VxrOX7Esv/3fL99a/3sI+t9v0Of7fml+9l+dX31249IaqRMdDNeTSl8qY6rF uzpnLt4UXzlNOTo8ukifWr6Gq5cPXlr3MFVpnNp13S+/Rkl8aFfYvVt2O8Mk HkQ80sdtfZPzB6L+4/nauf2exNGTHrN+/GazxKPwLw+ENo+K/SZF6bn2xNCp Q68Z7Jyf5K/RJlV5X3rHrTdlb0m8j/hZ5IsgR99uqeKf2S+p+vBOvlSlYLcm /dMnXpX42sa2HQreHhStlNznv3jgfg/D0GIx5c1eRCq2FUZdTPMLU7zqx93x 3hKhtDYdY/7zvghl2dlD5dwnffK73QoP6JxkVKqE1B5cauEJw+PlZr+N3p2i OEzd8l1QmceGU7tcii7PTlOiUqO6J6YZlawub2oNaROsjO95bUGhVQ8M5WrW is4eq+W/Ed/ifANzvoGJv8DEb/T3X8THaA+mPf17T5j2YOJh+vgXTPwLJv4F E/+CiX/BxL9g4l8w8S+Y+BdM/AtGX86/6AujL4y+MPrC6AujL4y+MPrC6Auj L4y+nM/RF0ZfGH1h9IXRF0ZfGH1h9IXRF0ZfGH2JH6AvjL4w+sLoC6MvjL4w +sLoC6MvjL4w+hLPQF8YfWH0hdEXRl8YfWH0hdEXRl8YfWH0Zb1GXxh9YfSF 0RdGXxh9YfSF0RdGXxh99e9niP+gP4z+MPrD6A+jP4z+MPrD6A+jP4z+MPrD 6M9+iP4w+sPoD6M/jP4w+sPoD6M/jP4w+sPor/99WP17F338Haa8vHdR4/G8 T6c+TH2Y+jD1ec9OfZj6MPVh6pOPQH2Y+jD1YeIj+vtx4iOch2HOs/J7aup5 FOY8CXMehDnPwZzHYM5TMOchmPHTvy/Bn4fxz/k+YeIT+vc38vu5vBdSmf6A 6Q+Y/pB4ntofMP0B0x8w/QHTHzD9AdMfMP2hf/9D/BX/Vh+PJT7O96HPb8Yf gvFn6B+9f8N4MN9h5jvMfIeZ7zDzHWa+w8x3mPkOM9/134c+Hs/6y/izHvC9 0J/YB2MfjH0w9sHYB2MfjH0w9sHYB2Of/vecuS9h/FnPuO/m94i5j8Z/575Z /3uwyDkPcN9Pe8Sn+f/ynl+tz3smyst6ocppT+aXGv+U/lYZOfEL5DByiVer cpj/z+/zUp54A+VhynP/zvfB+sj3AdN/5FPDvC8gXkx5WPKp1Xiu5FOrjJz4 LHIYOfrB5FMzPuSfwuRXw+SfwuRbw+SfwuRfw+SfwuRjw+SfwuRnw+SfwuRr w+SfwuRvw+SfwuRzw+SfwuR3w+Sf6t/P8fvMjCe/r8x5j/nH+Z/3IPL70up8 YD6y3jJfJJ9FLa9/37fP4Jt/8Ol0qU8+C/Ulv0UtbzJzTU33HzQebNmzw703 GVKf/BbqS74LvwcdWcLBdLvGJbc8WKzYaPku+Av0B+sn9rN+sl6w/vD/WU9o T/L9VJZ8P5Ul309l8XfU9Zv9m/kI835H//vUvMdhP6T/8Zdg3tcwHuyX9DeM frSH/ryXYv2DaY/2GV/WI87fzF/eIyLnvIuc93fIOV8i5z0ecs5zyPm+6U/8 ecaX/sM+7Ke/YOzh+6M8/YP9yPX52/+8T/rffZ/0d3uPlFv+/Je+V9K/B9K/ 9/nS9zr6/P3/9nz9P5tv/6Xvc3LLz9e/3/mr8/VZf1hf9O8DcnsvlNv7Hv37 nf+2fH/9+6s/yu/Vx0v+1fc/X5rf/6XvhfTvgXJ73/Hvvhcinzm390D6fObc 3vfo86H/du95/st/H+FLf/8gt/dFf/V7oH/e9/zzvuef9z3/vO/5V9/35PZe J7f3N/r3NH/2fUxu71fk99hY73Xvy/Xvb/9f//0V9ht9vP6P3qP83X4P5Uvf x/zz+yj/2d9H+d9+36N/z6N/P6//fSD9ex/5PbVDgy8syZxuyO39z/8A8knb 7g== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJw1lldw1VUQh/ckJlyMJAIhCUkg1ZAACRAuLQFEEAvGFrASAQENIhIRLAgC KigdHqxj77079vKs44O9l7HXUccylhnLb2e/+/DNOXf/p+z+ds85t25xX/fK PDPbL5nlqz1OdIgWsVPsEiPECaJTjBQni6litCgUmmq+Rj9aX6eIb27bVxTw e5FYKDKiR8wX+4hi0Z+xK8SZolQsFUvcPzFIDGDsMtEr9hdlYiDfy2kHiyq+ ua1SDOF3CfsUsWcx654t+kSFqGGOrzFdtGGbJlrFcLFGrBbVrFfCWuPEWFGL hlvFAaJd1IlGsUfsFt2sNZT9NotJogm9ili7E73z0bsQTXO6F6JlP8YUMM/j G0U+E9oXMa6DfOahcQnfxouD8LNLZEU9sQ1G3176JWhfhr65HJSRw3LG9aFl 7lsV8Q4l/mHMz9kq0Xs4frfgZzd+1aFfFm23opl/24XuE8UWNJ0iThTz0COP 2PPJYQ0+5aOz1+TRYrY4ED9a8dPbMfR9XhvfBxC/63GYRR3Uillo2sTvscw7 RMwkBte7Hf/niAmige8TifFgi9poxsep+OlxdOJ7C3nNY89G9nUfp+HnNvRo wpfp+NNOrK7t4WIGPuzAnyzMxB/Pq9eE18BexnWxxmzWWS/OsDinE4g5i78n EYdrdSR6HcveDcR3KDFuYpzrd6k4yqImPdbj0cD3WcZex7CWrzPXom5yZ68b /8/nm9u9Juah317m+9w9jKlnzy76nosjxGT8m4/+fr4WWdxXa8UpfD8VewZb D3ZvF2A/zeK+87m9xFKKzr30L2StDHH2on8/fMgw389zEbYe7J7POcSVOzON zF/CeuvwI7fGUuzu+2Lsbjsdu9fmTtZzf5fj5yXkybXys+93q9+Tfv79Xqig XUH/LPo+9yJ+e3+DWMWYVaxTwdiV9KvYo5r4LrCotYvJcR258pw1M24182ro 19KuoX8u/Wra87D7/udg38i4avzoIz6v2bXkdwE5y+DvBsYuJ85StFyPnqXo Mph9NrK+n/vN+O++bMKf2cTpMU5hTBPtFsb73FnYt1ucf3/Tt9JvIrfryO9c 8lfP9+2s7bXvZzyLvt5vYJ2drLmN3973+lvImhn6XqdFutBvszivP4vnLc7R RNnbU/j9gXjc4i54W7xDrDeK/BS63iwKU/h+u8V/mOX47+fWz3mnbK9a1L6f 6b3Ecb14j1ztwO6x7GZuPfP9t9f2qBS+up9t6n9vcae+LMakuEMnq71O7WXi JdGa4s69ytdIcW8+LX60ODcNsjWmqNfRar+zeFs+EteQO9emJcW+T4qaFPf6 s563FLm9VfRPUUd3ipIUtXa3GJSijnyN5/Df5z1DXbgvP+FPvexPkVvf5wmL vaao3yEuV/8b8S1afiI+tjhbY/V9XIq6eUG8S81Uy/aIxdvyIjq6D2+ID6mT kbK9ZXE+fd6EFHPvFUNS1HuZ2iss3l3X6X60+kE8aPGOeU4eIC/u77UWPn8q HrJ4X4bJ/orFGzVC/dctzkat+q9ZvMPvi/ss3puKFDn2/JanyKvn9EpqawZx XE0sruWb6Ol7VqbY91G0cB2q1D5scTdlqTGvt6Ep4vFYBqp/l8Wd59o0p9Dn d/Gbxf/0UtnusbiD/E/Sfxb/zb8WX1n8f/lSPGbxdk1KUaNen/+Ify3e4L/F Xxb/8Yv1/Q6L+/cP8afF+/qL+NXijSzQmJss3qHPxRcW73ee7DdYvG9+jrOc 5fEpatrrOaP+LRZvjOfhM3LheahLkQvPw/AUufgfHoL2Aw== "]], Polygon[CompressedData[" 1:eJwt1GdsT2EUx/Hz1N57h6gRraiqUorae+8VpBoEoUasDrQEiaQvEHvvLfaO vRIxEkKQ2POFF/Ye35NzXnxynuf+7/8+9577/G5kyoTeqREiMgi5cROP0Am9 cAOv0B1zsRh//PymWI5mQWQhtRauoxLz6dRsXER+5iOpGTiPCOZDqWl452vq Wj3xF79Rx9fYjRfoho4oyH+3UMdiND5jEZqgH374Peq9DcA/LNF7xGCU4v+7 qNMwBS/xDHG+RkV+r4B6fuwaHvraWViJpWiJBbiK0pw/lTobl1GU+XjqTFxC IeZjqJnIx3gTdRRGoAjzbdRUjMMBVOZYC2p9fSeMN1BTkIzneIMeYue8xj20 82MXkIf/DKemYxWWoTXa4wpK8Psk6iycwxp08B7tQVl+j6XGYC/KMU+i1kVg vI46DENw3NfQazfEPpTnnOZiPSzOeAd1MibiFhKD9U57uB/v0UdszxQO1sOZ /o4bMI9HFON5KBPsnWT5OywW7JlmeQ8LBOt5pvc4V7CepPs95w22JzO8p7dx BJ39fh6I7dE070lcsAzo3p+Do6jKsVbUeNwX2/PZ/g40C2f0GcUyoXuvEcfm e3+TGN8Ry0qO9ox5QrBnS/Re1Au2lvbkpJ7LvI1eBzUYVwvW6xl+79WDjfUZ TqM287bUxqjJ+AQ1wffAV/wUy0ZtsaxJsGxo5j7gi1iWolGF3w6K7UV95kjm x/zZ9Z7u+jPl+BrffQ29dn+xbH7zsWb0Kd6KZb0rDvue0N7rN2cFnqCL2Dt/ jLP+LHpss9g3QLOvmTrk19Rr6Tdqq1imNEuawZ1imdesa0Z/4SP6YiA++TNH +7Eozj3lvdYerhbLiL47fYdrxTKge1+/YevFMposlrmNYhnXbOs3L5Zx3WDZ 0UzEMK4TLFuaqe1iGdFsaCZLBvum6LdEM/MfJdOe7w== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHeAV8URx28HlBKNJpb0GJJoqsYkphgjghwcp+fBHRxHS5QignRBkKpw iIQYiChIAImIGqMRzYl0KdKUJoIgIFhjAxWlRCxA5st8Xt79Mffdt7+3u9+Z nf3OvmvQuW95HysoKDjT/9Ry/DQVFBR5u9jxCsfPhG6Nvd3I7WVvN7d454i3 Cx2buB3ydjPHpm7/9fYZjpc5NnE73dunuTX29iC3bm7XMX+xxZrljmVu5tbG rcLtZLdT3Fr7753dSrx9pdvn3m7v2M6tvlup21Vux7y/rWOlW123lm4t5Jxb lxTzVLjdwHxd4FKpcXAStnPrDrZ36wF2cLse7OjWE/yDWy/wj269wavd+oDX uL3i1smtn1t/2uLRFV5t3AbAS30DwWvdbgS7gW3g3dp9a+VWm5jJb609GH/k xzC4iuMI+InXqBpcXnPr63az2y209dtQfNb44cyh8Tcxt2IzmjkU17Fw1T6P g4fe/TNziUsV78rX8W5D+G0MffL7T4zTb7czTuv/BZQf03hPc0x0Gwn/v9bw 4y7W09x30Ce/74R3FWv0wM9J/K7f/uM2wW2m22TmuNXtbvy8zW0qKF//BorT FN7Ve9PhqBjMAOXTPaB8egP+Exg3kDj+nT7594LbSrdVbvfhj/jOBuXT/aD8 fgAU9wdB8foHKD8eAuXHP0H58TCoGD8Cyo9/gfLj3273us1ye5M4zXF7jLa4 Pw7qvWreFfdHmUMxeII++bGc8Rr3JP7Ij3mg/JgPyo8FoPxYCMqPRaD8WAzK jyWg/HgKFJe34L7UbVkNP1bBb67bCnjJ76fBavakusZ7s+G9mmf5sQaUH2tB +fEMKD+eBeXHenwQ97fhtcltA33yYx3vLiKuynvlxHM1/HiemIr7FlDct4Li vpH5FI9t+Czu20FxfxEU983MrXl30Cc/doLyYxcojo2oD9Lf3fgmP5pQK6R9 e+gTl7Ms6obqh+pGoeZIUVMud2yYIp8m4nNTapE0sRV1Q1p8Fdov7S6mbkjf i6g50s8rqRvS+pfgK35laKr0vQV1Sbqvsy5tk65VUn+uhrM4FuKPdLtLyuuK dDurHz1SXmP0W1ZjupM7c8mlypTrvbRQuiJ9yWqP5no1RV2RXquWSFf7p7xm SEey+tQz5XVFOpvVql5wHcD4rG71Zv1BNeaSNo2B7xB4icdQnrXGMJ4173Ce NdcInl9PUW9GwluaLL1WvRnFs3wYzbM4VfE8gPWriN3gGvzGwm8Q+zSW38fx 3B2+6uvEGv3gPZ74tiF2XeGnHJuQ8royEX538Cx+k3jONH0GY6R7M+EqHb4T 7pN5Hk3fpJTXj6lwkcZKc5Xn0pnH4TeN97JaMh0/peFZzZnCGhMZn/GQns1J uY4/kvL6cV/Ka8b9+KO+WSmvE1ndED7Ivt4Ol6zGPMA45W91ymvS7JTXmIfg /ig8sjrxGDGdBe+sDmnMUNYZn/Ka9DDvVhMjnRed67asKb3VWVJt3cd+ZvVj Xsrrx/yU148FKa8fC1NePxalvH4sTnn9WEJMpYdL8WE5z/JpBc9ZzViR8hqw hjhJb1fCdTXPWc1YnfI6sTbldULP0ipp1q6Ua/R2uK7nd3HdwLN4qB5shvdG fltGn+qGNFpa0Bl/1Lcp5XUu82ELc6lP95Kt8N7Gc1Y/tqW83mzBhx1wzWrG jpTXjJ3EfR193+AbpBgfduNzR+mx27luB/z53ZTroFDn+qDb3hRa8x55MIE8 UJ/O9IcpNFTjsnuGYv9+ivufzs3+FPcDxeOdFPV4E+toXWnJRyl0bSTj3mOt N5lrJnN8kCJfPuC3Ocy3n/n3wkl89jGv5vw4Ra0sYp2D+FBBv3TrcOI7zO2r Fs9qF9IuYn8PMU57v4eYfs1iDb1zKt9d8uvrjp84Nk+BR2g34/3mrK3+SmJ5 gNho3z5l75ozTzG89+Lj0RR1Wd+Y2f1emnK5BY9WKb9nS4d+4X2/1Hegt7c6 Xs836c8dv2kxzxbHF9zO4y5QwTdRXdotvX2SxbdTbb6f1G7h/Rc5/sqtJOW/ qX6ebxEL+av1vwUHfdt+Wd+9Ke4ruqM0BM/kviI8gzvNzyxyWnHQ3eZ0xv7E Yg8U/x9Z7J/2Tly+DZ/fOJ6jb13GfoW70XDH7Rb5PdrxFYtcq+BbWv6uduzJ Gst1Z2Gs8Y2sOdc79meNhW6L3c52W+fWDx7PuvXF/2fc+hD3NW69iNFat974 ucqtB/4UsJbuQcKWrLtI+0N8RjrutDhDtzjutjgnzzne6PY9tzr4dTLWir3b 5DjQ7btuG90GuDVwW+a2gnidhU9aS/fDUmK7wfEGt++41bL4f4Riozudxmhv z2a84nYx75amuMvpDql7nOJyPEVudCSHlD+l9GstjTuJsccZq/cVx6OchUS8 9H5j9ltcSnhH72c5rftaa+ZswdmRLp5CvL7gVpYiLvXIB3FS7DRHA2KqsW15 R+9rXH3aWkNt/R9DmvdFC31oz/zlKfIjwVm/af3OvHsq79dhz7TWk45LLc6I uNcmJopjAXlyocXZvgKt0PmX79Ken1qcx8vwUzx/bHGWitCfCxmrd8/n/UvI C3G4lHxRTC6wOJ/FaN0FtA8zr+bUWf+hxZmV39/H95b4rnyuRe6ofQ75pHYH zltH9v0iYqW8PI05v2ShCdrz89hHaWA585QSV/VLyxXXH/COaqLGSA/HOL5u UVvEqyX5NM1th0V90tm62eJ8HeM8tIf/b1lLc1Qxz1MWuqBz8IbbPRZ1a4/j dIs6p/39PfF80XGqRR3bxdpa91XHGRY1cKXF+VQMbnLbhj+/ttA7xc1q+V2Q eRpa7Lf2WnWvCfuif15OtshNrX8pHJL3321Rb6QrIyy0Rf5djI/dHAcTw2sc n2YvtO+qnaqXCxznWmj5IdatIG9/Ry5VO15nsYcn6p7FXVR6PMpCk6Vz8y30 50RdtaidqoH6Fm2HX/qmzepqU/JWbX27VtLXjH71NSdXdS7UrznGam/JV+n9 EgvtOvE/XTh+Dk+dEd2nGpFX8q+Q2KrGjiOv7rWIUdNMtyzO41G06f/zMadi cwnx6eR4rUVd62wR91bMUcI80vU67N3bju9YnL19yh2LM5nID+XGXRZ7r30f 4u1jFneQoY7HLe5K0i39r1jadav23+Ie95bjbRb1VudG50fn6l3li4VmTLHI IeWPdFH6WJe8Vl4qJ6VbZeSS0dYZF5bTrzH6f4F0VGflJc6LzsHLnIW27Idy oJK1lOc6Z69ZnDX5Ic0tR3/Uln/d3Z6w0Cf50IF93Oz4vIVOKW8bEf/PtFcW 52m/24cW2vqJ8sLiDH3kdsBCp3S/GGZxx3hffC20VfHuQswV767EvB5zl7Fm Y9aVXqk+ScMOihN7eVg5a3Eudc7mWZy1+sStDM1UHT1GrnYkJ6Vr0q4S1upA fz32Srn0seMRi3w8Fw7Kvf8BcIgyUg== "]], Polygon[CompressedData[" 1:eJwt1PdvT1EYx/F7HxoRIYjYqwitqlVFUVLrD6jEb35oEcSovTex94xfbLV3 jBiJvfcIIcSq7q2qSng/eZ4fXnnOuefe7/fcez7nRKamJU+QIAiGoirG00lH ZRgETajjcAAV9BtT03AI/+g3o47BPpTRb0gdi/0op9+IOhGHEaI59M8O4i/j Tak3cBMNMIhrk6lHEYGW+IzF+M5YIUbRPo3aqINvWIpMxrKwQn8bSfhI/zz1 HPrTrkedhhOogdZ6DxYig/ECvKU9F19p5+E97fn6P7TzMYX2MVRDpM9lNOr6 nEbqXBGNwdw/g/oCbTGE/k7qLHyiXYRTtE+iJmphF2bjC2PF2C72jN6bgx1+ j47lYqvYb+iz2fQ3UZ+gFRKxEY99rr2xBvfEvn0XrMZdsbXuhHV44GsVj7W4 L7bWcdiAR742CZ6FYnTzTKyi3hHLSixW4rZYFmKwF9vE3qUUI/yatvWdh9E+ 42ubRH84dQ9KQvtmm2k/9bXrh+W4JZa9aL93i38LfUazVoiunrkif6c4v1bi 7xzv73Ad1zAwtExewVXU92sLqB/EsqCZuUz7EgaEds8SzY5YVjWTZ2kvQ5Rn 5AIuimVRn/kj9k76Ln0xD+/EsqeZm0P7jdhaayan0j6O6r7Gr/BSLOuasUWa LbEs657RrD9DG7HMa9Zmop1n7jVSxbKp155jOpJDe2YSjqAKWvh/V/pcdQ66 FyrQR2xP6FmQifZiZ0KeZ0yz1REZ2C221/WbFIhlUrPYWeysKEV3sTNDz6J8 H9Mz6Qd1PXr4Pb/FMp/oc8jyzMX4HPQsykYHsTNJz4YUsb2pZ8QvsT2ie6OX 2FmX63PVM0/PonIfi/BvUYae/k1yxDIf6//xU2yPJPg9OteH/u10zv8BHCi6 Rg== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm81nMWfvmet+3eouVq064s3abbrWgRrXfcm+I2hhSVpDB1NZrKUJYJ Q2Io1zJ2SZLslLIlJHRtiZRKEaFiPjNjhmHmeeZ53s/bH897vr/v77udc55z zvf3tht/wYiqAzOZzOYDMpkE+TN+nolMpjHkAuBboD+wHTgNSMC9QAAHAQuB LHAwsAioBTQEFgO1gUbAEqBO0ppLgbpAE2AZUA8oAh4DCoBDgCeAQqApcBcw EzgTuBWYBpwO3A5MB0YBdwAzgDOAe4CxwBjgKaA+0AwYDTQHWgOdgY5AJ6At 0AJoCbSzPBRob9kKOMvzOgCHud3Ga7TxGrm1uMbhllzjbM87AjhyvzWOsuQa Xf2OfcVei2uc43ldgF/tt0Yb69LCNmxim5Z4Deo3yfNKgR6ez31WAMuBbkBv oLvfn+uxxwC93O5u5Pbv6TVK7K8i+6+P1+D7VcBK910FTAaOBfYBe5M4dZ73 6QvsSeLYTR6X2/9qYArQD/ga2G3bfAWsAaqT+EbekX9rgdeBMuBE4NfACcAw y3LgLeBNoAI4GRjqsZWWHPsOUAMMB04BTvLYrcD7HvtnYKrfMy4YDw28zyBg cBL/GQeMB/KfccB4IP8ZB3V8Jo4dksR5cr/Adphs+2zz3hckcX+UfU/uk+/k ALnP+CB3GSvkPrnLOBiZxGHOIW9ae05bP+d43zblec/ncW638hxytYNBDh6R 8rzvmPK85/N4t9unPNdzvO2Y8rzv7HfkWG/7fYL9fLj3IO+6eH5XP3NOiZ93 u821vkniykTP4bqlntPDz5zT08/L3S7xOO6f418/+4Hj+vh857vd0+OOtY86 +cw8w0rP5Xhymnw4PonjC+xvxkG1/c735A35Sv6Wu588HeZnviM/h3p+uecw vzFHFvodeUq+kr+Vns9n8vQ3Sfw9xeNyscF1yeVTPeYPSfm1uUG+tUj5OOHc Pybl0xyXyMOWBnlIHt0IzEriAvlILpJLs5NyIn17URLP2H9JUp4lvy72PPLn L34eZ7v2sm25NrlCnlwL/Mn+uSIpl9E/lyZxgb65LCmfkheXJ+XHUp91jM+w w2vQv3OS8hT9eyXwO7d5hin2PWsfayBr4Tzg97bjaNuR9mPNvDCpbtKu09w/ yWfieeYC16R8TplqX9S3jwvtd/JniG0zy7rT9jNs+3OtW6l1nW070yczrSv9 Od1+m2AbFdu+F9vm59mOtOF1wA1JeYR6X2Xdq5JyNO2xISkn5s5+je3AnPZk Ul6bbDv29di5HjvWe4z0vHmeOz8pfhg7L/qZ7UHuH2yfzPGaN9s+vKu8AlwP DEyqL/Pdzz0usq/JQXKOfHvJ8/vbP7ftZ6e/7mfjO23LB5NqT0PrRz0Zh6xN t3hf+okxXmbb353EM3KF9SJ3j7ovqXawhi30+0Xeg7XtAfezXcvvOPZl7zXA a3AtcvHxpNpMm/Nu8GjS/aDA/azXDyfVJNahR5JqEsewZj1kvZZ4XCPvU+29 GB+MNebBup7LWsa6+R4wwmssTvmat9hn32c7D/A5lnmNOt6vts9IHYp89mVu L/VZeeZC25w6kQvMreTD00nxwvveOmBLUq1nrDybxHfee5j3mfN3uH205Qq3 VydxiH5kTDyTFHPPeUw3689cz1z0udvH2TbP+/1HSdwir15NurcMtC3ZLrNt V7ufa6zyOpvs4wFeb5XXrLGtaWfWCN5phnst1g/yrtztCsu1br/hNsfuSrpT VPosr7l/s8eVeew6z63wflz7be9bYbneZ9jid+z/xDoP9F41PvMwrzPcqHEf 9XvBur9rHfn+Uz+zzfr1QVKeodzgNjn1sW3FWN9om2+0D/p7POf/FvjQz2yT L+RNU6+xyeus997DbaetthXjjHc+xu/11pM6fub+BrblZtuQ87Z5r+0ex5pA vpF/rDW8w/De0s19O5PijHwgt5hjv7QdacMv3H+c7bfLZ6u0jif7PcdVuW+r z7DLa1Enco85i3ws9jl4hylxm+dZ4zHUcaLPWez1q1L+fv6Nx++0Dowj5tr7 k2oLazvvDbwzMJ8xrzFf7ca3ZkWo3uyFLA7FzA7I9qGYawe5NVQzs5CfhurW QMgrQ7V2J2Rkte9naH8eitXxkCeG6kQG73uH+PRPyMpQPfsBckSonv0dsiTE 3Y8hN4Vyx2GQX4Rq7L8gZ4f0/xnymBDvf4TsGYqfMyCnhGpUwr79Qrxjrtpj Tu5BX+dQffsb5EmhGnkaZKus6uRktE8P1a6zIGuFdLwP8v6QfQsgW2ZVP+d7 feZF6tQgK70moX1+iLOMF+bi/3+Loe8on/MAjD04qzw+CH3zQj4bA9kkK850 Qvur0B1hH2SXUJ4aDPl+qKY2wthzQnwbAvlR6C5yEPonhDjcEO3GWcXGt9Qr q/j/AO0NoZw7F7Jp6D7FPTt6X/qhg31BXrQ1N4qyWpdr9gnpQ13uRfvOUJ2s jb46WeWGXuj7JRTrz0I+Gap5j0A+FKrBPUL+rrK9eHdnjp1K24bup3ttT+aN S9DXNXTfqfY79h8Z0pM6LoZcGIqBAbR96I5VRZ3sI/r/1BAHZkGWhu5f5F13 n+cJyGWhekv/jwxx4ArIotB9cxXk8lDtfBeyeSgW34R8PXR/ORCyJlQ3L4Vs FMpRL0M+H6rDr0GuDtXmdyDfCuXN7yC/D9WwujhDvazyaDf0/SOUC2dAzgzl j0/I7dD99EPyNnQXm8Y4DtXooyF/CtWeZlhvaKiuMo6/dizXDr1jP/PHl6Ec 0jfEV3J1LWQmdBeirm9YX559vc//NnkSyv9LIH9MumsdGjofzzaKHHA+Iy8e Njeupb1D/0U1C/GVXJ3D84b+r6LeJ1j34yHrh74TNoZihvFySMhn9NfV9Hno DpqFfmeH8vxNkDeG/uu6gbwL3U0bh3xGf70C+d+k+1KLkL/p61+AlaE73guh Z7bp2xftX+r9YEj3/wCPh+5vT4We2SaPnjOXVoT+K+R97CdgaejeSD4+Zk7y LC+FzvNv4J5QzqdPXrVfyKk15tV7obzDnDM9lOuZ5xmXT4dik75aZ39tDuUX 5pZHQ+fgGcj9y23P/iEb0T630Vehu/gdtF/o/8JtkGWh77GCrGKY8cuccXco b9TPKg4Zg01CeZk5mTWkMKs6chfaPyTdAZjLzwzl81sgq0P/ZTL/1QvlwNah eGAsjKbtQ9+yzJ2F4XoNWR76rlsAeXPoO4S8qGtuPBCyL217IW0c+v5mjlkU yjOsjawfrB3XhWon6ybPOzF0Ztpgi+3APbd737GQ40LfaW1C8Uw+Xwb5XdL3 Ldf43rr/D3XEgKA= "]], Polygon[CompressedData[" 1:eJwtlXnQjlUYh99x7scen88uKlpoUfaKSv2VmUbTUMhS+kIon2yVFmQLoUJZ CmkQMWWrSQvZxpbKki1Gsk2ZFkqLUl2/+b1/XN7reL7nPOfc933uU7eof7vi ErlcbgIEjOGf8TAz5XKd4Rq8CEbhj8Ik/BV4He8K1+JPwRR8DfwODzJ+Ub/Q F+8T+Xc1B14FOuGTYQr+GszGu0F3/I7wM81xHT4UpuFrYbq+DXPxB6Ah/rTm wD+DEVorTMfvh354ceS/DS/jv/H7RPIeKjBOmgN/CQrwUjASHw8j8bP8Dkqe 8zbGrWEAPhHuU9CyXO4r/DDcwrgjvIDvgUp4ORiHT9Ca8M6KWXIM2uPnYQv+ DdyJfwer8cYwDv+V3yHJOSmv9fK9r/VtqMg44FntDdriP4VjtQ+a43/B5uRv nIFqvH9Ue4cO4TVqbVpzp/AetTet+VX8HL9PJueoDOOavH9CsdAc+EXQDx8L d/P853AuDsCN+D+wHf8cbsb/gy+TY3aP8gEb8YNQFq/FfKfwdnAv4wvhdw9p TnwQ9MA/UA7wGtAFHwpz8TdhnmIDb+H9obscFuDzw8/mw7RwDar23oA/YV74 b5UjxX4y41n5HCzE3w6/WwCD8SEwLHlNhfhwGIh3VEzDZ0pnaQbMUa2HY681 zgzXtGp5TnKtl2H/+5NrXmerFOO9yWfsXLhmVCubkmt5anjtqunSmWtAudc7 vcMxPpg/f2Uz50i50TeU2xnhbyvHqqX94diqpv4O50Cx36ozEu4BOvuKSXWd dRicnIP38HdVU/giWIYvD3shrMJXhv0dWKta0Tt4VViCL4WFyXOsxj+EyvhS qKO9w3N4T1iDf6qekjzH+1p7eG69o7M7Nhx7neEN+Prwt5ZBTXxnuHYe0hnR WYFq+ArtGd8W9upaM744nHutcY96ARTp27AR3xSeW3N8oVqHVXgN2KFaDs+l /1Pv2R1+Vz3oYnwvPIM/DKO1lnAvU4x19poxLk4+g7Uz9wz1itNwPf5IONfr oTzPy8Fj+BhopH4CG5LPXDflMtwbR6t+8B/Dvbw13IqX4P3dyT3nMONLoVdy zc+KfM9P7smKxcBwL1JMdPYeD/dWncEG+Gn4GP8E6uFHlePknrdL5z+cC8Xg B/wq6JN8B+3Da4djoxooqViyvmN4CzjF+ArojT8Ph/BLwrUyHNqEY6ZYaQ/1 1TvCvb4vfIvXVQzxEcm9qJV6SHJPaor/Ee51yoFi2Th8FhXTu8J71N50h1yJ fx9ei/agvV+tmk2OQUnmzzL3Uv1fZbwwc28/ktyrbw/3EvXsKoyrZn6mNf0b voN09+xIjoX2pL0oJk2Un3Du1aMvx0+G96YYHcePhWOnHCjXusN0dynnujta hM++7pAb8LPhWlFNXYYfCcdWMTsTrkHV3rrk3n9TeG26AwqYv2Lm3r4z+e7+ Jfy3usN1N7QMP9Md8ZFqJXz2dcb/BzlMItM= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe8V8URxZ+S3YuKimKJSi8P4VGkPYp0EZAOggiIgoqiUUHBXpAigr1L IpoAajCIqImVZgkae69R1KhRDEKMLcaoOd/MuR/847zZu7+9u7OzM2dm72t0 9LRRp2xfUVFRqT81JF9OFRV75oqKRyUbSc6TXCBsEG4VzhJ2UH9N4SK1HxJu EKqEavV1EpoKf9bzMuFM4XFhqXCGMFuYKZwurBcWC+2EWcJpwgzhAuFUPz8h 3CacLVzo33n/QeF6oaXwpHC7cI7QMYe+lwmrhUVCa2E39dcWLlf7SuES4VJh s9BMaCh8JjQVGgifCk2E+sLOeq+WsFDtq/we838kVGInYY3wa6GNsFb4jdBW WCfcJBwgPCBcJ7QQ7heuFfYXHhZuFFp5D7d7v08Jy4XzhNeFVcIcYbQwSThK GCUcKUwUxgiT/dsQ4XBhrDBUGOfnkR57hDDCcoLQVxjmsb2EwcIgobfn4rmP f+d5uN8b7/fGe43BXvMw7CebNRbuUftgr82a/SyZ4y/C74VzhaeFO4TzhWeF FfaLu4SVKXznOeFO+8Izwh9S+AvvTE/hN38V3hY6CP1to5Hez2G20wDhUP/2 N+ED2xV/qhY6CQdZR/Y3zeeAnq8Ke2tfL0h+Ivmp8KXadST3EK5O4TO72t/O klxkOxwleYfwmtrzJJcJ96m9S4538DHiqqZj7zXJN4Qtan8j+a3wXQofr+nx yB3c/k7y38J/1P5e8r/C9yn8v451q+W10G2F5EzhLbV3zzGOfp6LHH63VLK3 0DwFL/xC7VtSxM7nKeKHWEBH4gGeIP6J/fEae4MwN0Xs1LYOtb0W7Zcke+aY Z78ctmAvN0suFl5MoRPvEHd1c+hK347eOzb7inNg/2rvm+M3+rdiP+Ebzlry Q+ELtZ8XXkkRU++pr2+OeHxdsleOvdzr815lvO7z2azfPxe+VvtjyY+Ef3nM C56TsW94/Ft+pv8zjd0kfIWvSr4jbMUO1mmO53jJ7Y36/V3hnyn2X8t7X+j2 /32h0HkJFXqukNxO+CGFbXayPZP6svBTCs7tIXQXaqhve+HHFLy3KQX33an3 3s8RT79LkRt+K3zBXvHFtI0r6/s92nDoj/r9B/wvBfexzoEpOBHZLQVXIrum bbxQ8gSS2IWz4Bt4h3glbgemiNv+fj7W48YZjCVm4afhnvtIv8Mc+C6xDn9O crvkTiQccbQlXAY3DPJvJd8N9+/0w3nHeCx6wN0nCSenyJe/8jP5bIpwnDHe Ok73++yjXo7xxE4DtesLS1Lky6nCCZ5jnN8vdUV38uLxHjfDa/B8queeYh0H 26ZlDihzwkjbaKz1Yd59zA34IXH4ZorcVaX+ljl49sMUHIod2+VoH5KCv+Fo +Bmeht/haTie3AafkuuesM3I8xtsMzieHAD/kx/I8eRG8iE5Ax5u5fU7Co9Y D3RonIKPyMtb3Ia73hfes25t9W4bYaPaB1gOsl2npG0+daxt0ZoYTJFTptp2 E92PHu+kmA/Zy2t+7HX/7nZj64c/jbGtWPsD64NuPW1bYg4ugl/h2Uqf5QSv fYLXx6972wbkLOKMeCvjG9netsMfT0mhY0frWcYhcUkctvZzGavMtdFjS1/v 5TXJj52FLinqh2o/97Eu1T4n1iR/DrR+PXz29E33Owd5jlaej74Wngddq9xX bR27ety73k9Pj+tt/ao9Xx+f+Uafeyf39fYc8Ew/26G/n9n7AD93t94DvF4/ 6zrA47p7XDc/d/Ee0BF+pz6mTiUnUY9S58GJ1IjUi/A1dTA1IvxLvUjtSP6m pqR+HWqdyxqtr3WAi+Gwkl9KPjvZcrJtjySWh/s99rC91r05Rf39tm2N/ciR 1KPU9OQz6uzrbDfGlPVRy5+dSZX3fLBt2s1rdPEznEG9c7/PHF2IKWKCOCEu qL2pwakBhvh82PM1KXIL+egi6XxEEbFOLqSepoYm55CHyDvECnFf1uWb07ba /h8e84zmeS7HM/VpC9dmzNXSNUAz919s+xDjHdxmDLZ4x/0dLVt7DD7Z+mec QGzjn/hhW3NNyTv45AduD7Js537WqbI+6Ll/jjsZ3FBl7uvsPmqAu1PUK/Ns tz/adtQyr7iemSD7zVb7Tyn218x7/yRFHQpfveizYl24AD9t6zOb7jOEI8ln 5BbyzAw/4wf4eGtjkeeAu2Z6XGmXnrYDbWK20nukVsS326t9Yoqc2N55ETs0 8RjGVnr/tBu7n7Ed/O4Mydty1Hnw9unWY436TsqRi06XXJ6jVlsneUqO3LVe clqOXPSI5PQc9xBsxh13fop7JG3uhPf4N/qrbVv8p4P1Zx9neD/kd/J6ffc1 8l7m2Q7Nc5wnd4i6rvcek+ya41yp6fZzXYfe1LvUmc09z1yfb2PrwDoNbBPy czvnndE5avS51rO+x6yVPDlH3qY2fz5HbI6W/xyYw1cmSe6u5xo5eAQ+IdfU Ud/kHHXWjezPeyEXLfYY7hH8Dme97OfyzJGc9aNqT8jhy3w/eCyFrao0/5me 85c56mTqZe6EnNUsj13i8fjgmrQtz8Gv5LVzc9zNODfyFHUGeZLctNx9nNMy z1PWKNQnY6TDiBx18d5qH5NjvbK+YY6y7qGvlcaMyRGf3GNXWt+cQ9elnvdW r8keVngOdL3J9iO2Vju2Vundu1yXkGPINXBxc611TY678jDJwx1rY9V/aI47 BvwOzxOv8Ds8D6c31Zgrc9RqlWpfnaMOGyo51vyGj3LPwd+6Y4Mc/NxD8qkc HFvp82Hsqz4f3uHbEvdHzruJ5r8iRy3YWO3Lc9R2jdS+LEfNx1mtsw24g76Z g6PgpLU+z1vUd7TPYmWOewsc2UzzXJWjBoXbyRctbMv1tmd9jVmY4746UnKc /R/fJM9Qr+1RRO7huZ7aC3J802qo9qU56tcGal+So34lr8Gn6Lka3srhT7Mk OxVxD8cfv/c+xqnvNPU1zHEOX/o82RN+xr7m5OBuePvwIt5h/NwcMXmf7fGD bYYuPYvQBxsMKsIO8CA1PfX8zuqrVUQtcG0O/3jefvGtfa2H+h7I4ZdDi+BE Ygz/GlaEj3WW7CLsZf9e5XM/NkdsEBf7SO4rpBw54EL7ON8uFnh8YQ7mngxv NTJ34e9881jkeNnLMUNccg7E5qGae1QRfAB/4F9wywj1jSziew3n3L2Isz5Q 8v4cc3Ce3YqYCx/5wjFxL9yQ495wRA4+govIn4/nOAti7mvHE3tDP2KZ2oKa A858Ar/OcT9+NkecECPk2K32zbJGoY55Ub+/nKP2fzJHjBFfGyQn5rhP7Ch9 d+Ken4PP4eBD7NfbmY/xzd5F+OfgInIbnNIVf7GexNZPjole6n8wB8cRf32L iEHObVSO/R1SRG6A1wYUkUfhO2K3XxHxe5Dkwzn4tI/aD+W45x1cRDwQC8R9 /yJiH74ZWATnnKN22yLyW90i/IZ1ydmz7Td84+1sv+F7c5ccfaxzgtcij5HP 6vn3zh6DLx9vf+b8j7MPYI8ptkmVzxNupFal3qGO7uy58Enq0PnmBO6I1EHU Ro28FmO4q1H3UB9dar35fsMcnTzm1RznzVm/kKM2xXfeyvHtb4v3UtYO5EXy BDnifPW1L6JGWJKDI/DJp3P43Cbbp9prNXObeoVznuqz5qxO9HlxjzjbazS1 nuhOHhhSRC4Y7z1RA5Z3DO4cLRw3LY3rbcs94YYieB/9iCH8mfr2Wr9Xu4hc RZ66W3K3IurlWrYZZ02OvTgHn6Abtdd877Gj9dyliFxFniI37lpEfuTbId8f L/NZld+MqU2oJ8hVzMf/Bq5I2+5R5b3qJNseLoZfyBHcv7mHl98Dpvq8ee8c 25GaeJbXO1VrtSjiezY2O9fj2qjv7BzfK9nDVdajnfrPy/E9dLr1pa7oqP4L cnwD3b+I2pR6AjznGPkfW+EQxA== "]], Polygon[CompressedData[" 1:eJwtlWmwiFUcxl+Xc04oQnFJXVyipoXQQim7i8JVaFFpWiWalmnam6nRp75E yZLKHimkfdGILIkiqaSEkiSlUNZ+T8/58Jvz/M/7nv1/ntP0hlGVI0uKongK qkGXVBSdYUYoimXwSyyKn+EZ9F+wDd0N3kbvgU3orvAW+g/Yid4N+9DPQj/6 Ggil1K0h/pHyp+i2Y2EmujO8iV4PO9Dd4R303/A7uge8G9znQ+jW9HccZS3o As/D53xrBYfRFfAB+hD8g+4F76MPaA3onvCevsG36O+j5z4GXkY/AW/k+Wjt v0bPRXtQytg3Er+EXgzD0U2T92omjCAuJ16hvuAe4tOJE+U3wXN/GF07eg1n Ej9AWROqw+3QjLrl/DsLOhAv1Rmgm8Ed6OZ8X4meDSOJWxB/ip4DHxNfA0+j F8K16MfzerbDePRZ/F+DshFMhHbEdSkbwyg4lXgV/74CdxK3JP4MPRduI25C /ElwjkwlnqJ/gsdIfOtDvAhdUL4AY2A18RdwF3psjptQXsb/lyaPpTFOQ7dK HutV6I2uSF6r1tgL3TN5b7UHfTVe8to15x7o7sl7pzO4BH0xTA+ecwf0BTBF ewUXojvCVPQS6IS+CKahl0I3dNfks9WZVFfuQQlzn0RcDX1M8lonEj9JOYi4 LOfIXsp/o3PvOXgE3ZbvdaL3vB8sgM18q1COoefkXGmovFTuRefqON0p9FDa t9S5Eg+ifBDmo0dDCd96E3+IPgJD0Ut054JzaD56HvwQPOb9OQeVe8qJA3Ak +u6Mh6Poqsl9TdAaiK8iLs9jLqR8Hbagt8KxfOurOxm8R/fBGdQtIJ4HtxKX Je+tzuQW4lOS91573jHaE9bnfJqEng1fB99x3aV7iTcE36kN8JVyVl4B69Bf wq7gus1aa7Q3bAzu67rcv/q8Aj1DbYLn2B89DdaiXxQ6x+i7VA6VyTmtXC7N uXw3rAvO6SvRk6PbDg/2mn3KgWDP2R+dE8oF1R3Ke669PhjsdX/C/mDP+y7a o+RNuzVn5Ub0WnXn5L1b1CbYg3dFe7C8d2+wV2+P9m55trx2Y3Rf8tzB6LnR e9M22Ht/i24rD5aXFqz5cLCn7sk5qVzUHOWtB6PnLo9V7gX+PxqcgzH5juhu qK5Kck4pl9RnzeQ7pbtUhfra6FrJc9kEQ6h7LVp3kkegV8kD0TuhPf8+RnwC 1Mtndy51J+YzPD/Zs+XV9ambFe2BjXIOTY++cw3zGf7fVnOO7kO50Z+4Qc6R SsqTiKPWCfXR9WBycJub4eRkb5Gn1E2+47rbVfNduT5a684M09z556PgPuQN j+a1yCNugsbJY8mztka/oXo7deYDkt9Yva2a4znJni4v1xuzHJZF5+4OWKvc hRbBd2Q1ek30XqquDu2PT95recQKvq2Mbqs9vxq9WOsIfmPO5t8J2pPoN2x0 tCfIC7QmvQU1ks9Wb4K84/Jo75KHDIQhyW+B7o+8c0D03SnLe31e8tlpzzVW m+S3X2PK2/TG6W2Tx8kbx0V7jTzyP3vvNxQ= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0bkyQ2EAhuFD7FvEzoxCbUnJdaRSq1LJtQSdfRdLcgti5w7oDBUa+y6e fyjeeb7JyeSc/KdvLJMaL4uiKK1+hV2pWjUqoXZ1q1dJTanDF7d5owF7UKd2 J3d4qyE7qTO7i3nehd+ye1SwL3WtK23pQifhnq5vspU5tvGYLdxgM9fD8/GI ca6FZ+Yqm3jIBq6wjsus50H4f1xiNRdZw31WcYEVnA9nwT3GOBfOh7MsZ5Hn mtGupjXi82FN2qXo70C/8KNvTehdH3rRm16V1ZOeda9HPehTo//v5hfvizQE "]], Line[CompressedData[" 1:eJwt0F0yQnEcx+FjHYjjtXITYYayibMEC6jVKFpFIaRoAeQtZCZkmkm6EEvw XLh45vP9/+ZcnXA3H+UmgiCIGNLnmmnHik7pocb0Xmf1RGf0VEN90GU91yWt a1yfNKkNTeiF/rJiN/WdHvu8kXZfZ41NNnhxvyRrF/WVNjvej/rDmBqLbgUt ccac9wLzVL3vyNh7esC2vcWtfUyXG0Z88cERA1qs+jbFt11m0r7SDs98/v/D PxvNMLM= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{319, 318, 322, 702, 693, 694, 692, 696, 695, 606, 698, 699, 697, 701, 700, 607, 704, 705, 703, 707, 706, 608, 672, 741, 646, 691, 616, 689, 615, 690, 605, 321, 320, 319}], Line[CompressedData[" 1:eJwl0sdOlAEUBeB/4El8JXbuAEsibRAFBUSlGLFQBASkSLAgKqO8ADu7zgzM MAxVVAgKShHFQlE/4uLLyc3Z3ZwDueGsolAQBAMczAiCLEeZHGOUR5QSp5Vd dohwkhgtbPObIU4Q5Rq/+MlDSnhDMz/Y4gHHeU0T3/nGfYp5RSObfGWQMC9p YIN17lHEC66yxioDFPKcK3zhM3cp4BmXWWGZO+TzlEt84iO3OcYTLrLEEXLY o548koyT4BRHySXFaR4zzHWCzCBok/0c4g/l3KSDkL5d3uIwf6mgjxtk6Dtl mkomOMMkXUxTxRRnmaGbOc4xy3ne0sM7qpmnhvf0skAtH6hjkQv7v7GVGHFG GSNBknFSTJBmkimmmWGWOaKMEKGXBqrYH2V26P8m/wEcBXQq "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0MkuQ2EcxuF/nVNzNyRi605cg7iCLixJXAA3UtWkqHkealbz3FuplaDU IxZPfifvl3zJ+YbyEyPjmYgYJU0iEiZpMJ1G9DFFP8MMZCPenI35ftcZLVKg xCwf9jmdp0yFBT7tS7rMIqus8GVf1w3W2GKTpn1Hd9lmnz2+7VU95IBjjvix n+oZJ1xwTst+qVfUuOE6/fvhiDvuueWRBzI888ITdV5pY9BdOXrpoZsuOumg nWzy/5a/lXszXw== "]], Line[CompressedData[" 1:eJwl0+VTFlEUB+BFQBEEQcEAUbG7O0dRUVFRUOxCHRvEzhm7u+OT/kV2d7di tz53/PDM79yzd/Z999zdnJKywtKYKIoqSIiLov6xUZRLHvkUUEQx5SSHPfRj AlnxUZQk0ygm23q87EMldV8ZK6vJOdRQ1ySNDNKZpt+bTHWinE11dSox9LL+ S08i63HyDz34RXd+M5afdOM7XflBEZ/pyEc68InRzKOUxUxhKgV8oD3rSAr/ nzHqL3RiPcl6KRSqv9KZDXyjC3VdqypnEa+uzGt1S17Rgnzq6FeRqUymObXD fjmTOPUj+ZgHNOIhedRzbahcxUoacCf8HitYzjJucD3cK8yWpZRzmUvhjEhh CWWc42x4Fmc+SU5kEeksZAAzmB5mYs9peYYTnOJkmLn+MXmcwxzlSJi9/kF5 iH0cYH84G/2dchfb2MH2cBb6m+UWNpLBJmqxlYHsCTNjd5gne8nlQjgHzpPJ RQZxlSyuhBlyjcHcIpub1Oc2Q7hHQ+6Sw32G8ZTGPKEJzxjOC5rynGa8ZAQl tGI+C5hLOyp4z1ra8o5RJIZ3iDXqNrxlJAnhnWG1ujVv4v5/v/8A0tZqcA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl09VPV2EAx+FjIHZ3ELa3XpiAqKhgoGJPRcXEAL3wD8DuulZnbU6nGNjd 3d3d3V3PmRfPPl/ewXZ+7/kRm5GdlpUvCII/REcEQRR5NC0UBAfoy376cZCc 8CwyCCboUpYQx1GOcYQTHCeeU5zmJGc5QwLnucA5LnGRFlzhKpe5zjUSWcZy JrGKAaxmIYtoxV3usYa19KITJT1vKXLtdfQmldLOyrDe3sBGOlPW2UDNYxNT ws/vbLKW10FaTitSgUascNaFHnaGLqYPXenpbKoOppI9RCtrExpTjTRnVbUK 1Rnq5800tZsxza6hw3QLze04pttROly3hnduJzDDjtYRui28WzuRmXaMZup2 WtqtmGXH6kjdQWs7idl2TR2lO2ljt2WOXUtH6y7a2cnMtWvrGN1Nit2eeXYd zdI9dLA7Mt+uq9m6N3xfdioL7Ho6VvdR327AODvX9zOH8WSSTjeSiachi+jo d4v7mxIUoRhF6eA8UgtTkEJEhM/pPL8W4K+dTwNS7N/84Qe/+Eky3/jOZ77y JbwLPvKJd3zgPW15w1te8ppX4Z3ynBc84RlPSeIRj7nPQx6E74bb3OEGt7gZ vktWht8NunvuiZrOIfpzmGbh+3Q3scRE/P+f/wcqyoHb "]], Line[{1622, 1414, 1418, 1422, 1423, 1424, 1425, 1556, 1664, 1845, 1663, 1843, 1662, 1844, 1691, 1842, 1661, 1840, 1660, 1841, 1690, 1839, 1658, 1837, 1657, 1838, 1689, 1704, 1653, 1834, 1652, 1707, 1685, 1701, 1651, 1684, 1650, 1881, 1880, 1619, 1879, 1683, 1695, 1874, 1875, 1871, 1873, 1872, 1702, 1621, 1836, 1655, 1835, 1654, 1687, 1885, 1686, 1626, 1620, 1882, 1688, 1656, 1659, 1622}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.7 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(0.7 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUV9eygJFgwVhRY0FRY4kF1KBiiXLsBXtvxNijxhosscWC2BuiSIyx oNgL2PtPUVCxoBRBQXoX6WDX51vrfHPuOq48rjf33nffev7F+tbsvZk5v11m z5k51UdN7TvW2MjISClsZPTffxfNe9fAwinMMPKao+H7Vp5Kh8tTgj0HBAqX NL78fFl3X+HBFnPNvE7vE6b/0M5Pwq609Zb+MP1h+sP0NznyIqTv2DvSH6Y/ TH+Y/oNMi078uUOg9IfpD9Mfpr/lxfLjvxsYKv1h+sP0h+lfYGqtcSbjn0h/ mP4w/WH6P91Q8XhCq2jpD9Mfpj9M/wETq3172ydW+sP0h+kP09/Q/hvPYz0T pD9Mf5j+sG98gSf2MSeVulUaNNwUkqTYT95Z3fS+nzByl7wmR38Z8VTkMPK3 /t9ZfZ/8TInZZrPkx8khhohZu4o3HO2mdDf06JMz754w+sIeK+1bNW55UbjJ kZX7ipTYqMzwPJhe3SVRqeZZ6ubvO72FkUes9JpSqHKK0r2cW+sLCx+IHEZO +y6jzz5L2ZMqfLyVYZK/VbqMj5znhz48P5jnB2O/Xj/989Trh5z2PE+Y5zl/ /cQFQ35Ya6hQPXVJ3QF7lTJ94gpFjj2gVHqV5J+UkSA8eNnb7q6r06Q/8pTs H1KmbwmW//+7yRsX19WByr1xk0oOa5qkfLtma2i7OY8MlkcPDrCcNk1xORJQ f83IYOHce0UXBnd9IHw0ymlP6zF+wrL+VJ5eI8/ufhNv4fF37sT4FD0pzO9d tO6OC+k/nJfnCWOvzSznS7V7nhKODDt87ux0g/Rv+Crl0cp+N6Q/TPvr1eKG evhdF94amDl4Svgt6Z/a8Iunay/cl/4w7acsez+wWdo9Yfdty+oZGQVIf++Y UskD7wZLf5j2xWatPRC3Ikh4dq9NdW6VDpH+rpstEqtGPpb+MO2j6/y+78jW R8Ldjd1rb6wRLv0ndbGMT8qIlP4w7U+H7feYdThCeMPjQRuPbI2S/jvfbssc vDhG+sO079Q57EHVyGjhVyeGl95YI1b7/UJ2T2tdNF77/VSmvWe1mN4m4+OE x6wdu2HW4XjZH2gPsx+xXyCHkfP/4S92O9v4lb4k8/3yutAZfc/6Cr/qNv6e IfGeMPMfRj/OQ5jzDea8gjl/YM4TmPMBZr+H2b9h/X7MfoR97hXnFq/ZWdsP WE/sX+x3MPsJzyPtcN5dL+NU2Y9oz/Np3sZhnXI5RWkRe61Nj90h8nzYD32X G1IXdo+3ZT+E+f1h2q9oXGiR3Tjt/IFpD2MvjH4w+xe8t1LPKt2+Dv5of63T pH7NsWe18+huntOeRj+lKUsO1DE5NSBY+Sat9PXm15KU+VeXXfulTYhtyaWh x9MmrhJ+PODpCIebu4SDwpzvLd50RrjNrMP7v69/SXhTvzGxAc98hP12Tr/f 5txN4e3hhqnHi9wXbunYadyEKQ+EZ6y/O3lepWDhUjb9x1gveijcpV3YTx0s HwvHJY0c9do5TNgiN2lCcdtI4Sd3mzWK6RMl/LLf68ZPv4kR7rzP9pjvY41H Wxmf8PeME/Za1LHBodHxwncLmVqfbJEobD60+5H1qRo3iyrp5eadLOzUuJ/l jJkpSon1lpYHJgcq6zuMCCjtqMl3nfuq0YJuqcLpxYYeGvxO4y9dqhwbGZQm PCRhRL3Wy9OVcRfqRxom+Mh6eGTytWnNdx5yfjfZNM9kTpX4y5zH9Jf1rLKs Z5VlPass61llWc8qy3pWWdazyrKeVWY9cx5frl/vxvAP8xc58xdmvU6MdK9i f/2OrF/8Be+Bh01/tE2R9vgHgw294ueaXVeKjOsZ2jBCe56DUlP3REYfVJau LNFpmucJ+f/NLAZ9cSHY9SN9HB3WTK/9a5IS4dN/rvPj20p5iwmzLq18qnTY fMyj0ddnlQJfza50rW6aEjrWJS6kr4eB/kcKd7p4N/OYsuePUvEz76QpRWcG F8hoe0L8EZnvqv8Bs7+YtN01JSswVCl4tc1NpVeirHeTBmerLN+fpGxsvL5Y paah4r8MVv7w7heu+XfWP9+wqXr8gVJkzQ9Wu+pr/p7b94mB8w+my/nC/tSz 2MWUCbGPDI1urO5iGLDTtmyxOb7mJTWeZeVVcezzIGFPq5zWJ24HC3MeMZ5Z L0vnNyceiDy0Z/Kko5H3hX+Oarcoff0t4ZSomzdXN78tjP8Ec74x/uEaLaZa mF4TuU2NE7WXjLgqnHa709a6o44Lx9zpW3/UiVPCrA/xr9Tn71bK+fDtwie0 +bpzYLxp+BVZT+JPqfLcZ6MDZu+7Jjyh0M/Rv7/3k/biP6nyHf0W3jO9fVe4 6GnfNFfnAGkv/pIq32PfI77Hc239RYwPSv3hwzlEe/GPVPncksNivzJ9JHzS PCalzqlwaS/+kCrv6T0+OrJShHDHxNk5v8RGSXvxf1S5c8sLU/u7auv72JVf Hb6fFCvtxd9R5a/LeKc1r6rtpxW3OmW1zdX8G86vaXvamu5uHibrJ8she1/M uRDh/pvrv67vHigc4DPHPrWaJmf+MV6TRK9jTU219pMm39iWUtZfuIFns/YL 4n2FLUsHFXwXc1eY+Qcz/xg/o1+HwxtO+Ig8Ib5XYNVJl4RDH45os6rSQeEx VhM8OhW5IIw/wnhF2uU6dC17WvYfI+Mt8z0Kewu3MtR+aNbMT7jN8FVlNra4 Jiz7vbr+ed7+vv6pBb7Vzptn3V0yihbW9k/+/3zzSpPfj7+t/T/bsPJtGj8Q flx59/U8u2Bh+9T+o23uaHIb9/W92q8IVC40r3zc55dk0Yfzif/fYufDnxLO PdX249pbp6avfybtOb+Q757zJMWvXZpypdg3Lb8L367UirIzaTc5Xfw9/r/v ytSa0ypcUe4OtvmqgNMzpW/2O48dvS/IfRF/sfCWzXbzfJ7J8+/41HfEQPNn yt5aXouLb74q/uTOrnejqvTdLPvFmdUtW8yutEjYvsXAvdbvbiideswOqN00 VYkY023kln3+yoLQGtezwz74j36VSz2L1Z7XL68nTj8y6pGin18dA5MbpfQ5 a8A/hPEPYfxDmP43q96JqVB/g/SH6Q/TH+Y84byt7ZXePtL3ifC3Zww9a7+O EfbfvPx1uFmi8OQZvfa71Hsq/GW/8gPs2qULB7ulLzI6kilcc0W/kLCz2cIO s89YnbmeK+w9znzpxvvPhUsPXPh4cvhL4REdYxt1TXotfKxJ5+U1c94Kv69x 6Mn79++FsQ9/Aftg7IOxD8Y+GPtg7IOxD8Y+GPtg7IOxD8Y+GPv08SbmN/bC 2AtjL4y9MPbC2AtjL4y9MPbC2AtjL4y9MPbC2AtzfznZv/rDai0yxH4Y+2Hs h7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7F/wtU95VwWZIr9MPbD2A9j P4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jv0WDOgMKemeJ/TD2w9gPYz+M /TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPY3/g1kObZhfKEfth7IexH8Z+GPth 7IexH8Z+GPth7IexH8Z+GPth7IexH5Z4SOGGQcl2uVo8RGWJh6iM/TD2w9gP Yz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD22844XsZ+fZ7YD2M/jP0w9sPYD2M/ jP0w9sPYD2M/jP0w9sPYD2M/jP3wioBvttQ59kjuuzE3hr2wS48SXrS3hkeB wvHCFk5P+5y1SBa+OPrEuyk2z4Stdl0KNtuXITx/Q3XLtONZwncWOi25dTlH uNLU5NA9fnnCE4f3aLjo4Qvhsz28nIbFvBIu0rpcuE3aG+FBlnOszV69E8Y+ /fsP/GV+Xxh/Ff+Y+SDxHvV+X+LL2NwhYRnC12ePa3qnapbwL3HJM2zHZAs3 6DP5pOf+HOHYSxnZXz/LFdbPJ/RlPsHMJ5j5BDOfYOYTzHyCmU8w8wlmPsHM J5j5pH+++E88T/wL7OW8hTl/YPZjmP0JZr0SX+Y+wfuo4tmL1hS5ny7xZeLP 3E+IDzHfuc+xvmHi9cSnuZ82C9s2wdP+sPj7MPeladXCrau3OSG8bubiyRYt 3A3cx2kPc1/gfo0cRs7/h0Ourn72xYWwj94vLA1M73l3TrIyc2e/recDIkW+ yrB2d/PcaOHQo5kvyxSIE66zfUDv9GIJwrPWntvrVyFJ2Hd+lbceNVOEy05a 3G9xo1ThMcPiD9i3ShMe4lHTqHLNDOECfww8ZFovU3j/phUDnzfMEu695nyB +KbZwi8cUw8HfJcjvHOexeArbXOFOzn0/uJo5zzhtIlLjv7e47mw66iTQ1b2 eyFsOzTBZPaQl8JxfSp4jvnhlfCarnbD+o59Ldyk7fxCbX56Ixze/KiX1fS3 wo6NouzNZ78Trl/HrIjpgvcfvd/h92K+cX/ifQfvQ2F+P35f5PSHuc/r77d/ 7/sS/fsMOc/VeIWc5yrLea6ynOcqy3muspznKst5rrKc5yrLea6ynOcqy3mu spznKst5rnufo38/4/pu5PeV/4f3MwHnw6r7vvQ0wHfaLFkf5LPXoI8X6983 5Pe+gPFa2ZiV3300Qzgm8kRQqSKZwhnumweWy9bYtXuzso7ds4T3lqzourxZ tnD3c+f75W7QeOj8bcEv5+UIG9W2dfkxWONSyVXLTbqSK3x649WARxXzhDmP YH08g/h4fu8L7GoddPHoo8WHOA9KZLtXbGeuxaP05wHxc4n3queDvH9SzweY 8wHmfNC/n9DHt/Txp/zeP+Qb/1ftkfNA1afEsvD285edEt7ev8CW+4N/N/x/ fz/AftZm2Uj/eekJylePrS3GzH0i8Tvb5oesvlv6WPky7VvLQxs+jn/in7Le bVYcnjC0TIT0H2K/YGzxW1HCB7pFX0gKihH+qXHL1SvKRWvxQtW/ZbxzX2+P Hl09VuTPW3Y0ux4VJ9y53oHxO1IThE3NjJsrVvHC+MeMN6jAuHWVWiSKfHPF 4oa5L5KE44tMLzfQ5KnwvoxbcbkdkoXxrxkvN9Lquwe9tfaNXwT99G2pZ8KO ic29i1VOF+7o7+x82F6T458znsvl3MTl47X2E3/qWSzHJUPYbPSiM9G/ZQpn PLTc8e15TY5/z3hu94bbVb2itT879Pgo/x1ZwiP6xhW/5JGtxdt9N+QW89Xk 3A8YL+mS985Xt7X2Rey+OnfwUI6wZ9suY9y8coU3nMrplvRAk3O/kPlypPbz 4BCt/cAWc0suO5Mn/K7R4fMOl54LR+wZ7H7tiSbnfsJ4y7at6uEVq7XfWydi 7MhrL4R7VitVutetl8INNl18sT1Zk3O/Ybyg1Wm716Rr7XPKt7vYyv+V8LaS M36sF/xae/6O1XrNzdXk3I/k/J3X99WPr7X2HQrvNasQ9kY49V3IpYLRb7Xn //NSjwEFNOZ+xXg/Tzzdu33hdyLflGc6ITtB41Zp35WNTn2vPf9RSa8bFdeY /ZL7FPvjsrpZJ0PGauyaGmgT3jtT2nPfkvPUdWZO14Pa+dB9yKBZPTdnSXvu Y3K+Gr9sfDFN62/k+/jUlUfZ0p77mpy3U+c7NGis8Wnr4bnWFrnSnvsccvvw 98d3ztZ44o7oJh6j8sQfZP+zGJg4bkrFEGXabc9OB4omKaWMXi0f9jfvm/EH d6SPe/HufqKifx+if/+tfz+if1+DPlELez+fUEyLz+I/4s/B+HMw/hyMPwfj z8H4czD+HIw/B+PPwfhzMPrij6AvjL4w+sLoC6MvjL4w+sLoC6MvjL4w/ib5 IPijMP4UjP8N43/DjEc+CePBjAczHsx4MM8TZnzyUxgfFv9PZcaHGR9mPPJb GA9mPJjxYMaDGY/8GMaDGQ9mPJjxYMYjv4bxYMaDGQ9mPJjxyM9hPJjxYMaD 6U8+D/1h+sP0h+lP/g/9YfrD+Hfc/7g/wtwfYe6PMP3x/+kP0x+mP0x/7gf0 h+kv+UZqf5j+3B/oD9Mfpj9Mf+4X9IfpD9Oe+wf+oj5/HJb8SJ2cfBjJF1fl Eo9SGf8WZr5JPrv6/xmP8cmfgcmPoT1y1j+MnPb0J18GOYyc/BiY/BeY/Bbs QY49MHLay/NS8114Pvr8XYk/qvcfiVervxfM/UXyudT5oJfjjzA+/gbj4U+w 3vS/r36/Ry7xRZVZv/rfk/6Mx/4MS/2K2h5GLvUpqhxGLvUnqhxGzn4Gsz/x +8DI2X9g9hd+L319CM+b9QUj53nz/FlvxCepR4DJrye+Sb458TPyv6kvyOzb 2SdpWpbEP8lnZjx9/r++XqGbqWl89TLZ0l7fX5/PrY8H6t+n6PszH7g/Ek9g vcK0J74MUy8AE48mPs7/Ix4OE0+HiZ/DxJdh/FOY5w0Tf4b5fWDsw1/ifot9 MHLuq8hh5Nw/Jf6iMnLuk8hh5NwPkcPIue8hh5Fzf0MOI+c+hhxGzv0KOYyc 35P6EJh6D9Yn+zH7K8x8p74Dpr6D+c18Zb3A1OPA1OPA7I8w9Tgw9Tgw5yP7 OayvtyDeJvVP5N+p64l4Ocz7Gs5XqedQWT8+8VrGl3w6dTzeH0k9jvq+if7E d+kv8V61veQjq8z7Kc4rzhsYf4Pn7brNyePYvUx53jC/v+SrqfsJ5wVy6pfY P2Dk+A/MB339iOSLq4z/Buv9Nezh92+VcM1plmWmnAec7zDnB/sH9Ts8X/w1 5k90Q+NxrVdp+UeMx35DvRD7C8+H91nsh9hPvRbM86vUyGSsX+uEj+5zxD85 32HOdxj9YNYjzO8B7zbpaT08Wjs/uN8i534Lc7+Fud/C3G9h7rcw91uY+y3M /Rbmfgt3Wh6zbVJOgvgfceO9L3uMThB/47qPt+m6SZp/MSLnRZcnXWI+uv94 R4a/Xf1h3la++OWvvuXCPvIX/lX1PPT/0tzZ/e7kDOXXK1n1QvcFib/B/6sV WLRTwbWa/3/kcJkUT5dsJTjUbmfLsA/rp6n595P7HFWyqwzxepyXoCztEzs+ veod5dbRjubuvyYo1isHt3u4JkDpWm7NwtVLYpRyytY9TbKilCDToafb1Q1X PKbnDNh6L14xKjo/vN/TQMPSMuuLPT6YpTisch50+494ZcqGknYzK3rJ+4P/ rfoh5qvbpbYmnc1uKg7DD7zt/ZV2f/ir9UWnSlmWH/IoTvHufme+897HytF5 B4KKHYpTRjyq51i4z1+vP2L9DY/oPqtyryjlbaF6HSc0j5X7h9IwcMRCt2hl Rstzdmsr/PV6pf4W3vttrz5R9Pn6f1a/9FfrlS7/EPH1qy/Pyv4bcWvHa6ub 9wwPLkxZHF8xS+lws85Q4x63DV283jw5GZWpLFm0zDHXMdSQ6pBUs0qLbGXM LePFMzMeyf0mbE/DwEjr+I/OF+KX+nqnkEEHC/fcpvmv+von5s+SzRZegfsv Kt5f+B9yK5ao6OtD/t76KPS56Nh5sONzrR6D88sq4FmPNiX+5jzLp37K7MWj enZVouQ8wp9K6uLcaFCENh/+rL6K80zy/fOpt9LXU0n9fK0x06a6ZSmp2XsW +db0/+g+NLTB76F55bOVkNJVpiUdSlA6Ga28GWC1U6ng/dZw9+wTxb/e8HNu JeKVs72OrLzZ9rwhYHXBWVFpGcqttKhpRndi5fdLnGLs+I1NnPCCsfcjX8R/ 8NPsS5j5VfJSOjYb02jQh9/ntHO3oduV88qJ6m7pthaJSh3z0Gdra3kr36YZ /7ToA7dvavyF63Bv2Q9Kt7/88LXdDWXfm0qGBVdilRUuhpcz7SOUwl+EbLAe 9+Fctn5+otekSKVE8Dzz0n0jlcKTm660bBP3yfVi+eX/L9vyRx83S3dDhF/v ai79M5RFKZ5Om6N8DO9WPx+X5pQp9jA/XRws9nRx+uBfex15MfPxKqViRIcb YSHafNfXn+VXX5b1jXloCZ948efbHqrUr5RxgrK3gpt96B53Q1WHG6Z1Cn3w 39sM883K3WWwbFrxetlzCRJ/ST7iuyn8QIIyQjnXbHvrB8rE/ivn1srV4i91 r8xzbOr7Yf5nWflbnX+o+LhGl9jgEq+c3tzut2r7Q5T743yCnijR4h/lprmu CqsRrbgtsK+TuCtGaXu1xKK7HeOVZXYFdvlWOmNgPnO+6+sbC/bN2FL+zGF5 HtV7h87cW3bvR/sB9X/484y3yv3LNKsJF7T2u8svHHf+svCrdea/7VxzQ3jJ us29TeJ8lH+0ngx/n/9/uVutg9PL3JPxbLofyip+0V/47NIqey/lBgr/uvTx 4qnVNWZ9M17l0e4NarcIEfnA0fF9ZxQPFc5pe+R9vVrhwufbTgwL7x0mzP4i +TnVrFe4jI8UedcNLR9Os4gS/m3hdsvu9WKE572fX6nWlWhh/F3G+/Hu/ipn YhNF7tTDr2FEjyTh4FYNlp0bkiJ85mKxGRvTk4W5fzNewcPT/Ca/firyGpYb wzeNTRV2MM+znjY9TXjA70HVuhbWmPs64/XtuO27jaYZIh9R8Mh1D1uNi7yN mOrSIVObH63uJSwsqTH3e8bb2cRo4+RyWSL3zCllvthO48Gp7Xyn9M4W7mJp 3XqYucbEAxgvo8aYpC7Vc0RuFDdjuv1AjfeH7a1sZ58r7Gbu6mLzjcbEDxjP tsxN25pWeSLvGRh6o9kojfP8ijrUGv9cOKHoq+TSjTUm3sB464wtN79v/kLk 271bWZSZonGn81NuGc14qc33V9+3eWarMfEJxgvPXP/0cYdXIk/12jkjbY7G mw4EVA1f+Fp4afJV15t2GhPPYDzL6Oy2p3u/EXmrXSa3bzlpHOdmM+vM6rfC QaG1nu0eqDHxD8abf3+Qm7P9O5Gv2jC+uoezxtYrtt7ZuOW9cM2bK9svHKXx v7q+NNfZdknJD+efa/rz3TOH3VB2DHJ1npeZoMxJ3Z9ncvaOsnlYcsfj1z6c Cw9LxS4Ycv+T61Edt4389W7zBKV5v3qF1/UNUt4fHeI8o26CsiS+2dbmh4M+ uV416+KUSZG34iQ+5LhoXknTvnFKh8WOeY+W/+vrWV0cq61/VytWSc7et+qt WZTStvx24+SH0crq+etyh9yJ/lzv+v+83vWfXd96ZrNTjcyJYwzeaWYXyxTS 4m3T3WvXyCqbpQwd0btyh15+hldvEgb1up+pXNq2x928eKJSwaaJr8P880r0 uon9t1fQ4mfEy37u/cfR985PPqqX9Y+cWm/mfDeJXyGvV6ZV5tCvMxR7m6/s Ks+7aig38nruw5aZyqrT18edHukj8T/iZwkbnz8Z2jlT5otXjF+fFkaZSs0/ 3jbotveKxNcMnVNHHxgQr0zrl2Jz4Eyo4t3T8f3qa0+Utq3uBzY1jVfcDsRd 3P1a84/NKq0r5b/LyzDBJLJBVfcMpX+X4Cflmj403No29c2IrCxldNPuJRIm RCnla2waYuUQq6x59XJrbY8HhktXjtfzGaXVS3E/JN4CE2+BiffA3MdhxiPe xnj6/FOY8WDGg7lv6uNpMPE0mHgaTDwNJp4GE0+DiafBxNNg4mkw8TS9ftxH 0A9GPxj9YPSD0Q9GPxj9YPSD0U9/f+d+jr4w+sLoC6MvjL4w+sLoC6MvjL4w +sLoS/wAfWH0hdEXRl8YfWH0hdEXRl8YfWH0hdGX+Ab6wugLoy+MvjD6wugL o6/EZ1V9YfSF0RdGX+Ir6AujL4y+MPrC6AujL4y+MPrC6Aujrz5fh/gP+sPo D6M/jP4w+sPoD6M/jP4w+sPoD6M/jP7Ep9AfRn8Y/WH0h9EfRn8Y/WH0h9Ef Rn8Y/fX5SsTPsAfGHhh7YOyBsQfGHhh7YOyBsQfGHhh7YOzRf89Snz+kf38A 017yh1R/kPoF+sP0h+kP0596B3lforK8L6EegvclKtOfeg/6w/SH6Q8TLyK+ RTwWJh5B/Ih4Akw8QOLF6n0e5j4Oc5+GuQ/D3Gdh7qMw90mY31Ofb0F8Cdbn R3FfgvX5S9xXmO8w/hvxXPxPfXyX+DvPX19fir8E4++gjz5er/eHsJf1BbO+ YNYXzPqCWV8w6wtmfcGsL5j1BaOf/vnL935Ve9jPed7679Py/oPnzfrk/TH+ Mu+D8edh3gfj3/M9S94v678vyXj467yfZzz05/02+wf66/cTyW9XxydfCWZ8 ng/xCZ4fjJz4AnKY9918H5Tny/2d/Rkmf4f369w3We+w1LOq90GpZ1VZXw+J HEbO85F6WZWR83zJJ6I+FaY+FaY+FaY+FaY+FaY+FaY+FaY+FaY+FaY+FaY+ FaY+FaY+FaY+FaY+FaY+FaY+FaY+FaY+VZ9/hb/M8ySfDtbvf/gjrA/y7WD2 Q+YL33OVfFV1P4SZ/7L/qnIYOecHchg55wlyGDnni8STVEbOeYMcRs75gxxG znmEHEbO+YQcRs55hRxGzvmFHBb7+P6wun+w/3GesL9IPYzannxGeK/Bz2TY qWzpTz0M/aU+Rm1vNGtNzU2DNB5m2bPD3Zc50p/6GPpLvQzfC44pOabQNo1L /fbAUbHV6mXwN9hf2c8Zn/2X9lIvqrLUi6os9aIq4w8x3zjf2S9h9kv995HJ R+I85/niT8Hk0/G8Oe95njD6sf7I92N9sZ74f9hHvhjnBcz/4//z+2Iv90/+ H/mEyLnvIcd+/j/6Yy/M/2N+sF7ZT/A/YPZv9h/+P/sJvwfM78H+Q399Phfn N/ryfHk+6Mf/w7/AXvrL/qP6JzDnO+cN/19fn/85n+zfm08GE+/8v/49g//0 fLX8vp+gz2fLL58sv3ywT83n+rN8rH/0ewyfml+V3/cb9PlX/+zvObAfsf/o 8z3yy/fS53fll8+lz8/S52Pll2+lz2f7s3phffzl782f+tTvSXxqvlV++TL/ 6flY+u8x6Oux/2o+1fb0ncZOf5Pvy/248R8bnBRjjfn//+zvPejrxfX15P/p +Vuf+r0Rfb7XPzs/63O+1ed8q8/5Vp/zreBPzYfKL78pv3yl/PKJPn/f5/P3 fT5/3+ff930f/A/9+64/y7f6T/tez6fmf/2787n0+Vv6egf995T0+V3yfb9D w84vzXUw5Jfv9V9UllH+ "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNllds11UYhs9pS1vaQgtd0FK6aFlaBBQQcCLOOkDQuhjVSnGAWxEVKONC vVDj3nuva/fekzjiSBzRaDQajUbj9n3zPU168eSs75zfOe83/v/W3rWL1xSk lH4XhWJfMUtMEfuL2WKqOEjMETuKAbFZ7CKKRRY+4zhxrKgRZWIY6yWs+/yD RbcoEuVD1keK4ewbLUYwV8mcbReJw0SpqB6yXs8ezx0lekSVqBOjWNtJzBUd okHUsj5ejGWuT5wgxolTWGsTzaw3ijWM28VKsUKMEWeIeWKaWC36RYs4SywQ 07mDvz9RbBGbRKfYAb0z2k9Fr4vETOxno30hayVot1QsERXsL0b3bmwKGZeh bzFalqFlOXZL0LIcH9ajZxnzI/HJaDQdhX61rFWz1kO/knH9ELsGtO5Hv2b0 a8RuLJo3saeRPQ3Yjscvrdjsit4d+K15iI/asN8Tuy78Mx3Nd0fbyeg2BV0L 0N+6bcAHjvMDxEJ8NZfzOrCzX4rQd1Cnrfh4BnbT+O5uKeLAPh3gbPfnY9vJ XWZxF589h/O7eIvP28Q+9/dh/3TuPpt7beYbk/j+PM6fyT0mcvYenN+IP8bx /f04by/0mkzr8c5icYqcdD7ujdZdaLSQd/jcbu5jO8ec4+2QFLXA62czLmKt G9tubNwvZ28F7SL6Xj8UmwVoYR3O4X6l6HEgWjrOnTOuD5WMq6CHuQrmB2vO 4cydK46gX429a93RKeqOz1gnljHvPHJNdH2oZ+z+eeypYt8x2Pcwrhmyv5o9 KzjD5y1nbhnjGs5YR9+2K/HjkXyvirnjmTfOGfv8fNHLmc3Mt9B3LjmP1osT h+zrw8btKvqmn32n0Z8gTkpRE71+AeNB29XYuD2Z/qkp8ryNb/bx3cH8b6K1 XStvqEOfXt45hvN9D9cax/6ZKWLD8e6Yc7w5n05PkR+OI8dNKe9eyx2Wo5HP dCw4DirQcj13W8XbWnjHhbzF+e0aMpHWNcV5NJOx+85J53MH95vP3Fru4fsP YDOJdoAz77Nvc9QUz2/B5l3xdIqaUuQCl+M8296bwv4d7GzztngrRQ7dJH5M EVO3iJ/R4BrxNTpdJ75FjxvE9yli7VIxPMfby9QW5/DBf+IvfOYcWoqG93MP 36FetnU5fjM71V6pdqOoUb82h/+uEs/hw0rNjczx2/ugGJtD1/fE+ylq0MP2 T456NV7t9hT9y+zPHFpPUfum2m3otxUN70jxv8i+fV3cnaK+vSEeT1HzXhZX 4MdXeL/fPkpnPpHit+I18WqKunmx+DdFXF0iCnP49zHRnCNuXhKXc4cGzT2Z ol4/xZrnmzT/TIp6vJ13+l0TNN+SI87uEn+miEdr80AKfW4Tv6aI30fRxXtf EM+nqOPPivYc8fsIY/fvQYsudH2I707OoeM2fOtYcM35THyeov5+Ja5OUev/ FsNy5G9JDi3aiZF/iJNfxK0pcnoGvnFe/CBuTFFDHV+lxNiX4osU/1W/Edem +A34SHyc4vfsQ/FBiv+5HTnibKP6FWpH5KgF34nrU8SptWxDz5zDf/ad86mA nPpN3J6iVn0qPknx3/kPcWeKemcfjs7hx9YcceOYsQ8bc/jR8fIiMfOTuDlF jf8f3Anbxw== "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPFzq4lN1AwRedsKrdRWe5caQVQQGkQFQai9WiER64O9au9N 7J2QGAlifLD33nuPWP+Tcz78cu/zvM/z3PeecSMZmWlDokSkM6IRFUQCYpln 4gA+oCfG4Q1WIB3d8Ae/EcFgHMZPDEQ23mMVeqEHjqMi35/CWB27sRCNUQeX cR0tkYiD+IwMjEcM725hrIqGOIRv6IcslOH37Yw10AinsQmVUQ/TcBOpSMZt TEdttEIu3o8Otvc47METtMcozMM5NEUCzmIXavq9T1iDPuiNa75msu+pEN+e xVgfw/EQM3zvbTEfc9AAKTiJmaiLJtiHV+iCMdiI82jme9yPt+iOsdiL50jD aJRg/dmMzTESebjOHWyvQ/EX/zyXWgNfsQ790RdzUYHnJ2secQGX/HtTxb6d EGyu9+7iClqgNb54zrI8RttQOlguNWebUSRYrjTHxZkXRTXmI/DU96R76YAX HhONRSe89hjo3rtiB8oGqwXN0QnPqeZSay6W3yLBcjlRLDfFgq2lOSrH/Axj PCb43ncy1hKPAdfHPBZa03Fcxwf7lj7zTqyHtHfSPdfl+X2S5/yjWI1rbWuP fBfroWyP+S8c8bUHeS0U4P1hXhMFmedHFbF7F72GUjz+C8R6TNfSNV9imcdG e/4eHonVXhJWi9Ww1q723FqvAc299tgzLPFYd8QN3BHrnUpivXQfbcR66qpY Tyd6DTzwNZP8mZViZ4SeDXrGrMcPDBA7Qx5jsee6HUqx161iZ4f2SF6u8wWr Xc3RIn9Hn9We1dopGazWtYY0VoWD9Z7G7ChOifWW9tBysTNOzzbtoaUeM42V 9lyOx0D3rj11y2Oge0/1/77Bc6V7+A/2MaEI "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGm4V1MUxu/e5nlKegwffG4gY6WSQuWidGlSN24pQleoJCpJSiNFgwr3 NmtQCGWeI/M8z/OYeeb9Pes9z/HhfdY5e5+991pr7/W++/8/sKa225BcUVFx e6qo2Ep2b700EA7Ve12K9nXCT0IT4WDhF6Gp0FzYInwvNBN+F14V7hd21hzv yT4h/CW8JjwgVKj9DdmHhK31/JbsI8I/wuvCg8K2an9b9lFhRz2/K/u4sL2e 35F9TMh6flP2YWFXPb8v+6RQKbQW2gjfCIcJ7YUOfj5cONb2COE42yOF421b CLtrzg9kNwl76vlp2aeEzkIr4SjhBFvW6+hxLYUTvX5b4STbo4VO7mf8yW5r 5xyT63phs3CM0FWost/4e6ot/p5mi7/dbVm/hy3rnOk5ThF6ug3fe9tv8tTH vuJjL/fT19dt+HiG0MVzPevnfkKN5+4m9LfF31qh2t8Msn/4dZZjwPfBXq+3 xxX7c459pW+gv2X8AM/N+HM97nThea81RLjAa+Lvee4nvqFuIx/nu434LnRb jb+tdC4uchsxDfPa+D7cFr9G2BLfJbZnCyNtieNSW2IdZz9Y80pb1rncvuLX C45jtDDK44h1rHNKfFfYMtdl7mf8GI/lu/Ge+2Jhuuejf4LjIY6rbYljoi1x TLIljmtsieM6r00cV3lu5ppqP4jjRa81TZjsccQxw+sTx7W2zDXF/Yyf6bnJ zSxb4rjeljVnOwZ8v9H+sc4N7qdvnmOgb46/Jb65tvTN9zjWr7NPxPeSfV8o LHA/8d3kdnJ5i+NhzM1u473ecxDHIlviWGxLHEvtK3Ess8XH5bb4uMKWOG61 JdYlnoPxK91GHC/b39XCbfYVv9a4nfe1bsP3VR5HfOvcVuf95LwPcNs6j6O+ 4SLqk3NNHVOf1AvnjvN3l/0jvg2Ohzjgcjgebr3HMdMH98PZ8OzdHkffvY6Z +NATtAWN2ej56ENb0BB4/D5/S0xoC7oBp6NNaBRahbagIS1TyfVwKLqEVsDR 6AnaAo/D93A8vNzb8VGHaAs60DaVOsFc6BL6Bv9/m0JvyBc60NHfoWPoVSv7 3cH5LHSog/3r5DHo7EFCY4/p7L5Cb3h/JoVOdEmlxpzofvzu5TW6/W8PsV39 XR/vIXGe7PE9vMeDvF5Pt+FflecqNKZ7KjWpyj718phKz40f8Dc8WXA/doD9 gHsLbcH28/hz7Afa/ohz2cZ+V9rXvo7huRSaVO31B3t8d8cxMJX6VON9qnSe quxLf+emxj4VHEQN35Githd5PXiacw+/UIPzPAY+H+oY4Odaz0tdwcWcI3hu lNe5yGPgbLhxtHMw1OPxa5jHF1oy0mtf7rkKTRqWSk0a7hyM8phCn0Z4DHw2 JZVcPzGVmjQulRoz1mvDq/Dv+hRctsS+j/eYQicm2fdxHo9PEzwePyb7u1rP PSaVOjQhlTp0tX2f4jGFpl7iHMG30zx+ht9ZD+691uvP9HuhH7Psxw1+Z73Z fmcO+O5mrz3HfZO8t3Ptx3zvd6Elc+zjAvdN9xyFVmAX2qc6r4FP9X6nH75e k0o9WJpKzViUSj1YnkrtnJFKzVjmeJZ4TKE99anUjxX2g3XQiDv9zWLHs9Lf 4fta+0Q8q9xX7T0b4nwt9XqsQW1wby3uoNQ6HAmHwivwK7wJP8GRcC51DNfC m9Ti5yl0Fx/hsw9TcFVxx4UzDtLd+1ThxxQ8Cl/DhfA63ApHwhNwPTwKH3yU gle4H37sOLhffeJYFmu+w3L0o1FoEryOhqBbaAUaBQfBP2gOGgNn75NDh+Dy 6/Q8U9hJqBZ6C7+yT7LTc/x2uUIYm+O3zkbh2Bz+3St7fA7/RspeKiRhgnBV jt9AX6TgemK5Uu/jhW2EW4Q6YQ/hJmFhjt8rDXPoEL/dRut5jLCVMFGYJGwn zBbmCLsIU4Vpwg7CAOEM4TeNvUx2VI7fWPOFBcJuwjxhbo7fW9cLs3L8zpss XJPj91kv4TThZ83TSXaF8Kmev0vhG/vb0L8x0cuvvV8Fj2P7eS8f9f628B63 9D497LYvU2hAteuBe0Zxp8ByN/nK52qz9/95n4Eubuvq84rut/N53eQ2csFd 5BCfe+Zb73P8pL9t7fPdxufycbcx39Oes5XPLv2LPQe1eLdy0DjHHlPTGxwD NfFZCi4hN1/Y32ccz2af6y8dO/dAammh8/G188idnNzDnc0cS1PvAblv79x8 57ZXPNdqf7vFsVMPDzn38AV3teJettF+f+b18Jk6edDjGuWoGfabmnnA/fj1 gn2Da+7zvJ313aoc8/1gH/D9TrXdleP/iaZCO/9HQTzc+bjvHeA+2u+RbZIj H/RTl9wLT1Lb/jnigjOoJ87ZYNlzhT/9LWO4g3If4yxzJztY/Wfl+H+DmBr5 eT/Zvjm+XyvbOkce4Yy/nYsmnquxc/ub51+tb1vl2PNlskfkyMu+sj1z+Hy0 7B3CXsKtQoscuYb/qGnOFrX1R4rYB6ltYI7/Y+BL6ptzSV32cG3CzdT0Jsf3 k/PTXW39csQL5+7lXJ2ewye+gePhHs44vA6XUA/wXx9zYCPvFfmBL//03jfw eeAsVMk2y7HP36TyjFwoOzTHf0Lny56X4z+kBuY4YqyVvSBHfom9ofkEbYGP qUn4rMacdmaOfWpuf/axbx1ll+bghpU5OIuzuSbHWeQcHpKjVqm/I3PsE3vU XPbsHHk/Ksdeso9tcpwDzkBb2dtz1Bbnrr/zeVwODaCOO+TQBmp9eQ6f8Ofw HFoFZy2Src/xX9QxwoYctdvSZ4LzgLbDK2jz+hznlRjRN7QF3kTf/k1Rz0ty +IEP62RPyMEj6B66Aefu7XNO7kcIw3P8h7fF54NYLtb7sBzzHpqj9qg75rvN c+Jve/v8H73mnGU= "]], Polygon[CompressedData[" 1:eJwtlFWIVVEUhu9ejt2KDz7YHcw4YxcmvthjY4Bj59jd3d1dKIqimG92i9jd nSgqYse3+M/Dx/rXveecvfaqQimpyf0tFou1gjjYgVMZroRY7CVMQk+DdHAS fxu2IlxGv4Bd6KpwFf0KBqOH+wfhGH5DbBJcRL+B5uhm8AH9EZahV0E2OIs/ B7sAMsFp/A3YLZALzuOPxU6EODiBvxq7HnLAOfyF2KWQBc7gT8fOhgxwCr8b tgf8QB+GzejScCHojH1QE67j3wBPziD4iz4K8ehk+IT+DL3Q/eA3+gjsQVeH a+jXMAI9BgyO4880xeSxpMcuNsXssWbGdof8cDMoxtroA5AHyuPXN+XUc/kM +qILwK2gGAaiC8LtoJjzoluYYo2HYehCcCeoRk2gDjzFfwc90fmis35CU3Q9 01nvYTS6MNwNutMEKAL3gmritU00ves17oLuCt/RSdDHlDPP1S9og24NCeiv UNZ0pp91CTqiO8E3dCK0RbczPVsOOqDbm7Q/MxVdFO4H9WyZ6I5+N+9Br10C fAmqoee6tykWz3ldU496b3pOPLep8CcoxynozqZY/E4DTD3iveHPzEcXh4dB PTwLisGDoB5cAiXgUVCPeqwzTL3gMY8y9Yz3SsCON/W893qaKNeTIW2Uc6/F ONN/XpMpppn1WU0b1Xqk6Vtecz97OWSNYphnmjmftYzYtaaZ8lnKHsU+1/Sf 32GFaWZ9VrNGd11k6l2/cyPvHVPt3kJJ9BrTtx7j78c2NvVC7qhXh8C/oJ6t ht5t2iU+Q0NNO8V3iT+zDl0KngTN/ErTGf5t3yGH4KBptn1masBe0yz6TFdC bzftLt9xLdG1TLF4T1TB7jTtPt9pFdBb4XnQzvOzN0LOKIZNph3lu8l/a2DK gd/d3/kPbJmxpA== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHeUl9UVXPbeUAMKRGBVmkEFRGMoAlY0EBRRFA3YC3ZFQCKiYuwKKCgr QRRNVEqQiHtSTmIFQYpGEBGkI6zABlY60izRzDizx/1jzr3f+1777pu59/1+ zfsN7D2gsKCgYE2VgoKAHZMFBVWBTnjoC8zEy/8AN8OfBbsAGAB/Duwi4Fb4 s2EXAv3hvw/7caHGvubxN8K+B/sRsBUoA/4LDEL7XNhPgCvg/xqoB1wDtAcO A34BLMX7lcBg+PNgFwPXw28ENATuBOaj7VOgH/wOQAPgLuADtC0BVhVqns+A zcAXwAZgLbAcWAEcHlpnHbDea3Jcqe1qj6Nd4/FrPMfrGNsYOBI4IjTHRmBT pfnKbEv9/aWV5uO+lgFNQ+O2AOWV5vjStsxrLvO+r0L/dkD9UHwYS8Z0m9fg t+7yeMb+KPTZDrsH2Afs9PuvCtW+A9hru9Mo9/hhGHtvaO7moT1yzNHwWwC7 4U+DnRya+zHYA7DfAg/B7wa0Bn4ZWn8/8AD8rkAr993jvTyJ54Ow3wGPwj8e aAMUAv9D2/fmJDlFbo2AP5wEBqoCVdz3GaAYqA5Uc1sAtdyPbTsqxfspPI8G MsRPcpxcrwO/BlAT+C3wq1DbJdbJh+Y5tULOT4Q/zutQI9TNLGuEWpltHVEr 1Az3xG/6oVB8JsfJ9VPgNwudY1XPV9NaqW9ttLNWyKEO1sRyc2q1uUut1A3x vL31QQ5Ndpz3mlNrPKYoxOsV1sF687hCD+utp1V+X6EH8pkaqNDWOvN2o/m6 1n0r9LCpkh7KPH6zn7eYh9s9vrzSOe30uwptlHvMNvO8mXm62fNudb8KDZf6 eZfnIucYhwN+3ueYbPc78pLc3+W5KnTCd018Phvc74C53cI62OW5v/IY5iXm qvnm+bce0zLEd/Y9zpog17uZ+z+Y92EeXwz0sja6Wlt8T9194z0MN985ttB8 r2qOV/O7n5lTNbxeofVTbL5V8zvyvbZ5Xcdjqng+zjEpxPsTrI9D3f9s4CTz j9xsZB6SP/XNW74vcnvHUN5faU42MJ+Jhu7DMYeZw38N5Z1jgBeACZ7r1FA+ JWfOge0c4ubJoRxNTrHOMe+TpxP8nhxtG6pF3ONlIR028RxNzG+uybW/hn9s KN6Me03Hg3Hp4n2RB+fC/iZ0zmeFxrD/FLfx3OtZ21y3h8dX5NYW5h/zxsBQ 7mCc2rp/Hce9tnnQ2ufOGLdznHvCdne/h4H7Q1zjubfyuAtgT/T5tTG/mFfH h3If12EOPyPE996w5/uMGddOjmcTx22zc0Jnx62pz4Dxr+txFfW3o8+dZ97B 597cZ7nFMejieLZ0PL9z/M/0GVD7p4X0zxh0cxxY+04PaZrf2jV+yrlt/I1T zd9ajlF3x+GikN4Yi98BF4b2Ti6fZ5+14HJgBua7KVQPWJ84xwWe5yTHqsix 7Ol1OG8v72G65+I89HmP6mteXBk6T67fx+tSX70993neH9tZl3uYP33cj+2s R7eFahJrD2sS6xHrKPfM+nVLqL6yD8/hupD2+J7fxjrH+w51xbOlFllXqEfW OY7lfOQp+co6yvfXhs6WfLza424P7YF85j64P87Bb74hVFvnmPfc723+hoVe 5xbHub/nYjtzF2v/z0P3IdZyzlESuqtR62y7w3tjrR3svr8P+YvdxudPnK9Z m9l3SMj/1G1D3P8D53f2HRryl7htqPtTB3eH9HFf6F5Frm5zjdnqmkF/t+0w +6d5DPuy7Q9uZz7n3YX3nFGhukJdkOMPxk86eCTEdeZ91gbecx4P1QzWoQK3 UxPUE3W+3zWF/ZivqOl7Qjpj3xGe5yVgpDnMtifcftB1jjVupN8VeI+jvC77 jfa+qtnntzA3MUdRr9QucwH1+7S/N23HuD9R7Dmm2icHXgHG+v2zoRp2iDny R/cZ6+fq5sUgn/s4j6ljO94+tf58SKdF5hRrRy3Pzzrwp1BN4vsS+58Xyr5o /znPy/2c7zFFPts/+3x7Ob6MG+sF722sO2P8bdXdNsXx5voTPSftJPvMm+zH e8gJfsf9vhyKKeP5F8/D+Vm7pnkc4/lqaFyx41vLfTmmpd9PdTyf8Lyck7WC +XeP15/m+Q+YW+QY89x0x5O/QZ/y79CjYL8I5Zun4a8L1ZlT4J+a2uMo2LWh GjIf/vspbs2EfTvF3dWwNVIaOha2bqoOr4Wtl6olU2F3hurJM/BLve4U+NtC OXUi/C/Dv2P43anzeRz24VQuIBeYZ5gbN/McU+c5i3FJ5YQnYYen8kIn2M4p TbWA3e61XoK/xbEbB39DqH5OgL8ppIfGXotcWof2Rqmaczbs6tAdYYfjxVht 9Tdw/x/C7vfZb/d3ct3XYKentDeX55uqu0thj0ud7zLYFSlu7XLsGLcy7497 K/c3cP8lsK+nfvP9Dfbvqdz0Fuybqd95HWDbA5eGcj9rAGvNv9H2Rip/nQG7 MnRX+if8f6R+X74D+1EoR82CvzeUb8iFuebDHNgFoZxDXrxrblCPJZXOrcTx 3Ac7O8XlV2Frp/Li98Di0D3pbaB/qu68A/+OVC17C/5NqRr6Jvx+qTpVhzFO 8f8NtF+Z+sZzYKuk7nNHwjZO1fN3gbtSdeoF2Oqp+9DJsHNCfB4NP1L3p4Rd nMovM4EHU7WpCWzTVI7hGX5snb4HPJaqTc/CVkvdz2YAw1I5sBbfp/LRJJ5/ StMvw9ZM5WZqqLV1xO+bZ423YmxC9eg++Hen8utD1ESqvl4He3XqbrEqxS3y 6irYy1JcGMq+qTvFzbDXp2r/AXIklQu/Bhamcvpg2AGpO8Ht7Ju6O/D9Z+6z gvFL5fIifmPonvQNcEQq1x1PLqf40IbxCOXStvB3h+6G/L55qW9slhrD/uTj MSlOHs7vCv0OKIXfIHUH5DorvRa5OSPFz+Wp9bgW9cA7Ie9Ci7hOqG7wrIp9 XuTmZPOT5/OKz+jzUH5kblwfyqHMn/enzpjnuwD+wVANZE49xLmCMb7RceZZ PeDzYp57NJXrNoZyE/MSdXl6SpvM2cyhzE+9yLvUf3sXwvZO3QUvhb0k9X/e NSk9UAvkwrXmwyMpHpPDzJcjUznzYtiLUv/5URPjrQvy8UVz8nLYfzlufeD3 Td1lR6R4T853hL809DuPXLvCfOtJ/aXuqeTsveYtz2G6c9P8UP0g529NaZ56 7wq/W+q+fkNK/9T+mlBeZk5eFcpljFXDFCfIh3tSmqfeyd9B5vCZsF1S/5Uu CuV65vkTYZekeMj8cVYqh4wlx1N3TeYJ1j/miu5cJ/Xf4aGw01J1kPmjRyqH 3JnKZcxjP+rG2hmYynfMddTiEOvxOdjnU/fC/wNcne9G "]], Polygon[CompressedData[" 1:eJwtlnmwlmMYxr/5ntsfhiEKlUonlJoIRZ0Q0iLtJ6VU1BHhSLKFk5RiytJC 0zKlTsM02dsx1mhf5JwQkowl6yC7ZPldcz1//M593e/7nve5n+de3q+kfHTZ jcVCoTATAurwZxNMT4VCFXRH94Zh6GNgFTTA74mtC33Ql0I5+liojX4DpqIX wZHovfAUuik8i96I7QT3wKdQA92gIXwP78IlcDL8CVv4n0ewj8JI9LVwHXor gU9FT4Fq9FjFgH4f2wO6JOu3oWu+1oL7zeEgz1+Efx/6frgt+R0rtH90Z5io PeNvDa+9WLGia0FHdD/YHH5G92bAWsWJfwe2FCajJ8E7Ra+xQ/Hgz9XZwPNw Fv4g7CaeuQk9GrahR3FtO+zBX4o9HP6G48J7mwP/wL9wunKhM+XeeNjB/9+C fwF6GfYMGAI34I+CiuQ1anLMpTkHt3NvrGJQnIoZfStsL/raTngTzoHLoZJ7 42BM8ppj0DdHjh2/An19OFcVObfrFFfOcRfuLce2hivgE50j19phj9cZo1fq jJJrrG54z31yTvdrb6rBnI8H0A+Ga6GGNUvQTcK1tQe/GrsGyuBiaBXOgc6+ r/Kpswy/61T4GB7Gb4utDyeiTwrX5n7VELprOPba0Au9AtsmuWdWw2nhd2uN CeiJ4dyoJt7Dbkiuxe4wi3tnQ6PkGlKsjfB75Zibopvl+jtQ9N5/RvdOPoMO +BeGc320zhi9G1sneQ/9VWswQnWkfKB3hmtrFryKfk09oVrj/a+gXw6vpWvr 0RvgoeQeUi8vw5+Q3NPnof/DzoPBqoFwzapWZ2vP+I3DuViA/wJ6NbRET0ru vTVhrR5sg24NA5N75BDVNsxHPwYDwzNJs0h7qg7nSLlZiF9E1wvnegC8jv5N dQJTcm70jO4pRyeE19C7deYH8x4Uu3pWa0c4dsWwXPUDLZLPYG14hlblNdQr c/HvzD3zIyxVjrDNYCP6j+TZMQ12aX6FZ8PjsBv9C/YUWJI8C//KudJM1Gw9 QteKnrGaFQe0r+SZ8Yxmr2Yeejx8DVX4HbBN4Futg3++altniv4KezdUwhfa J9fOxZbAoeh92HHKNazDfytcK6qJVeinw2vdq7jD34RFuUY7h3tGvTIUFqIP C+dKayrW58LfBsU8TbWSe08zYQ7+58pTckyaHT24dmXyDHkS/VM+W/XIE/jf 5b3pzIfjD4PNxDsSfyZ6b/KsaQ89w988fev0zobhD2P/5G+eanFXrm3VpO61 yv2tZzRrO4X3ppn7EXTDPzO5B69BXw1biv6GlaLbh8+yMSxAf5nPWjn6AP/D cC0opx3lJ/e23qneeQkmJ/fQYvQ3ObfK6RL8H5K/vZq5mk19uTY8eUZdFp4J mgVXJdda/fAsUs19BrPDZ6MzP0p7yfNR56vaXxn+VqoH5qHbhfeimi8L/0bQ bwOtqVk+ILyWZvr6XOOqbdXwvlyDlbnGhmq26sySc6bZ2Db87dGMLNe7wrnU mQ5BDw7PWv3P78k9pt7Sb5oXwzNes11n9mvyTNAs0G+Wu9Sr4W+fvmn/A+In ICM= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm811Max39u95yvW1K3TUWiQaRFaV9EaSwRqUSypgwZMkZZhxn7VrKN ZKeYMAzTmDEiy1jGMnbNyERElm63ctOez9vz+b3yx+c+53e+55zv833O83ye 55y780lnHnFGRalUOlZ/6kmel0qlE4UvK0ulNyQHCAcL/xb6CwcJC4TBwuHC W8I+wlDhbWGgcIhwq/BbYbjwrrCvcKjwvbBKmCwcL4wRjhG2yqXSaLePE472 s1nCUunyuXCv9fpM+ELtz4WxwkphRIr57wv7CcOED4VBwmHC/cJXmrdYWCFs ENYL16v/CuEM4XLhdHRU/2WSE9FV7YskTxa+U3ulsNHzebbJv0/S828klwi1 Xnud8KD6v0bfylh3s+d8qv5FwlHCMv1eI/wgLPe8tUKNJc8ayz6rK0OHhZrz sTBSqKf+CqFO7SRZKWyldmNhB2F7oVpo499b63khdFK7rbCn0EH4hbCX0EVo 5HmtU+haX7JKuF2YITRI8Y6GwjYp9M28P4W+yEqhndfrnMJeW0sWKezFevyu ELb1WtiM56x1oTBO+FZ9u0h2tX7the7C3kLLFM/QvZWwq3+j927+je3QpV4K +9bzO7fzPHRcLtQIO/u723t+U9toR//mnd28bjfr1MTP21hiyz1s6929VjNh J6/Vxs95dqlwWgqf+p3kePvCxZITUuz/a9qrV4Un9Pt1yTeEJ9W+T/IBYB/H 1/F74pW4JVY/cv9hlvwmLl7WvFeEv6j9WQpfxA+/82/ab+v5O8Jctd/0mvDA W+p7U/ir2i9Jvig8nsKXWWes5WK3F+j5R8LfvQZrwSHwyevCgcKrwmvCAcJA jT1I6Kj2JnxFmClMUd/2OfzhHMlWOeLtNc9nnQHqGyKU1L5LsnkOvnjd7+O9 I9R3eg7+uUDyfGFqCg57y/bjPf39rv6e20+4SH0XCtPYU8nLhAv8/n7W4X/q +1j4RwqOXOD9gZs+tm2fYA+FP6WIYfrhr2fUN094VO2nWUN4RO2nsJ/wsMcu 9DqfuM0ac9kTYY7alwinpOCS30v+KgUn3YZ+Kbj5D8KpKbgQ7uI7sOeXkl8J J+CLwhLvI4Bv4edv/e6R/r7/2see1/tfEB7z2C+8zhK3WeMDPf9QeErt9yTf Ff6m9nOSzwp/TpEXPvfcY+xbY/3Ni2zL+zW2RQ5OfxBbCrOtCzodbtv83/Me 1fOWObj4Ed4jPKT+hyS3y5Fj4Aa4Dz6Cw+BNeBSOg2vKnLGdf8MJcA2cASe0 8u/27oMDalPwy6QU3NTS4+CAnkKPFJzRy7/vxneF3sKzwrwU/sw+Pum9ZDxc 09b7ONd7Sc7C78hb5LJ/pshn8Az2hmvgFvZngnUo81aNv6ud9W7s79/T74G/ GuTIH2elyCGMhduJGbi5q9djXpkXkWUeRTazbRr5HTu5r7nwktBH+GUKftzB 67X0HjS0fbf1/Fbu4/dMj+EbiNku1olYgOdOsS2x6Zkpaon7UvDDff5drg9o U2PcKXmH0ELY7HewPjUJvrbU+Z4cT37Hn2gTR+Qv4psc9orwcgp+g6/v99yr Je/xXlPf0L/Y8gHrM9vvK9cQszx2hr+HPLzJejbwWnfZjuQUuGS8bfsvYYjl S7ZzH7fL/vac7YMfvpiCh+cLz6fYd+QLP2vP95h7PId11rjd0e351gnbPORv 6Wub9PEzxlCTUGvBc9Rb/0nBydSW1JXkXHLwvpbUAfgQ+T3ZJ+r5N7XFBtdm 1BTrXbNRW6xzfVbtedljV7i+w58qvNYM2xjfKtdkyz2/1nM2uRakvmvi9Xgn Nc5GP2/odViXemqTa8E5/uZxHrvSa232enWum4iRpt7nmfbJSn9/mbOIjXJM IFtah+aej17oV239mvo3sdbD9qyfo47EB6glqZkq0pbabl3lllqK2uo33vMh 3k/29QDrtsb1K7m1q/cPHyBmvrGf48vEQrmuKtdZyHKt1/5nOiLL3IkscycS riLm4ehyzbiL173L/oW/wQ3tPG6w1+plO1V5fwb5fTwjt3f2vL5eh9/7WT/G EZfEJ77dzP7HWuQ2+Bd+JrfBv8QjZyw4Bv4ZLzvvUwQfkO+JW/wfHoIP4AFq LLgM3qYWJB/AaZxbOBOs9hlhmc8R1GfkBvLF0ynywUTveWH9qMnIGeSFdfbr Wu/rMvv6M3r26xR5hP2Fy+CN/fSu04Qj1L5S8nLh5hT+CR/ho2uF9SnG0F4n nJOipmMMfLXKY1Z6Djzbwv0bUtRpNe6HeznrcOY5MsX5kHMjNUJDyW1y/K7z uDFel3dTX61OMbfO4yu8zmq/i/YM69fA+tAm9r9JUT8Nt805M1IfcsalnqIW ulTrtc7B/dQac1xv8PyPHnObx7PO2cINKWIITqWuhFfJs1elOI9Mtn6jbINS DvtcmeLsii7ELL/xAfibepb4vcljeLbcc2u8D2u9L/A0HE18wE/EfIV1wh97 e39WefwGt8t2q7NuTcwb6DBM8hJhuvqvE67x9+LjE3KsO0py9yLqM+Y18dmV tb/3u6rdz5rXei3WwebXun24nl+fw763SzYVzk1xf1BnH+Hc+oP3Fhsst49N sl2w87a2TTuP2Wy/m2/7kMs401ATj/V+fus95Rs4O1Fn9skRG+g/z+8t2e9W 227rbX98E59FjrYNq22H6fa54dax1jpP9b6yp9Sts1y7DpAtx+a4v7kO/xFu 8bgz7Bu8k/gbYTnF7aGcdXLk+1rJ73LUCFfZRthnV63fN8ecnOPb8LE26m9V xNlys/rX5zhvTZO8IcfZok5yRQ7umOZ18fOqHPalPUPtQTl4sZ3W27GIWv7I HGc24gC+g/fgqC56flKOOCR3kkPhQXgT/oS/WAtfgGdv0tgbc/gCZ8fHfH5c KnlAju/srTU75IhLOBquhgPPUt8h7u8luXMR5wu4GE6GN+FZ+PanuyXHBjpP 0vgTzAkTJYfnsP1RknsW4VO7SB7h/pZqNxM+ULsHZ5Mizux9JHvniKX25Isc HFWu9akV4HH4nPqhp57vUMS5bG+1GxZxL9edmCriLo69vNHxND3HmZZzILGP 7+yfIm+Rv6hLOE+fnSNnocd0++duOc7e+Dlnsnt8LluHz+c4o3fj7FBELddF 7bU5zsvw39V+Z5WepyLqvkrJUhH3BU0lGwnvEaeS9YV31O5KLijiXmKEv4N4 7ESM58hTHSWvzVGf3OL30P46BZ/AI3vp+aYc9wOdJb/PUcPc6OesS367wjlu jxz3FHDCGMnORZybH89xtqTG5W7geNsT38G3zv6Zj+KffdXXT1iBb+fYY+xK 36E5+k/M4ev4+XFq3yGcnyL3jPN6rYvwFfyEczPnZ3IiXAq3wDnn6fleReQD 4nV7xyz3CaNtP9YlXqnPiL+dHIP4Ywv75LE5uOY8+9lE+15PdCjCrsTMBMfF FNuP9RsX4Yv4IWd0fHOQbTHe82odS8TR3hrfXVia4t6laxH8wfuoR6iNuc+A i2+1j55mvZh/qvvgiXPNFeh0ijnkZPKzcy33Y9iPmq55EXFCjLQtIpbQlXts fBD99/Xvge6jzXj88m2PuZoYzxFH++fgROzLmQYfx2/vVN/dOc6gcPY15m30 eN/v+cDtYV6bdxBHtzI2xzn1fY9DB/LATOeCwTm4FS5cJPlpjnsB8hJcSMzC T5eaoxbZd/AJ6iPqKXJoJ9nh6Bx3OeRV8usox8hSx0kHjRmd4w6xvdojc9wT MZY7/WNT8B98B9dNxa45aiLsdLFtRdxMduxQf5G3qcE+Ud/CHPXsGPv5cf6W eR430DbizEEeq3EuW5aDC4h9cn2jHHmNewx+k/fxA2ov8hF5k7qKHEe+o0ah Ptrac5lHu4HXqfG6tMnp1JfEHTVz+ZzNPSG80tf6Zq/J3Rj8wX1XuSY40vZv 6D0A9LMv3KPCVdxzoFe2no38Leg2O/uOWP335vAzfOzhHPdl3CtQZ1BvcF6Y 6m9mHTiFmuGn+jZHzONLjT2eWgLZ2HOrbItO1qe+x3SyfTkrkeerPKaRx2Or ZT638E76qmz/bt5L9pH7V3IF5zDqi405aozF+FqOM0on2xU7k+eX5PDvL3Lk J/z8ZsmvcpxRvsyRR8mhnBkHpC33Rv39LuqCcTlqg/K9AzpRy6zKUc+szJFv 2OPujlvGdbXurHtgjjqDdTgrDvK4DTlyId/W2e/kG3IRuQ1+2KqI/MR+kz/I X8TIDzlyFf5EnqxwroRbDvZ74YRD0xauOsT6NygiH5f/ZzfUupJ7C+df+JVz HxxL7q12/uU8PNjfQG5fkyO/c4dEbHFeID9v4xzdz37Pd/0Ir3l4dg== "]], Polygon[CompressedData[" 1:eJwtlnnQV2MUx6+851wmjGUsk1JvZEmMfUmDoUhpmXdk/au0aUXaqYRQSpZk iCxpZGlRqZSlkpCQJKWSVHp7RcigsX2+8+2Pz8znuff+nvs85znn3F9lp75V fWoVRTEGKmBCFsXjMCmK4hmYj78JnfFXYRLeHDrhQ2AWPhdewW+G3vhJZVFs xGugL+PTGG/Dd0E7xsczXo8/CU8zvhw64oOhGm8Jt+IPwFk8ex5U42NgAffq wTD8NXgHPw6G49PhPfx9mIl3Da/9rfSz2sNC/N30s12gFnPvB1fhK+FD7jWA u/E34F/8P1gRfuYvfC98hLeEE/BvYSF+H2zGN0Gv8LWdeCtYgi+G3/Bf4Qp8 OfyM74Zl4Wvf657WqL3Bn/gfcGX4nQex1trQGl8F++MVpdfeCko8S/tncDB+ SOlnr4bD8ENL+2o4AD+w9LOa8x/e9Xd6b9rzUrw+jAjHdCVeCSPxOXAGv+3I eBQ+Nrz3LbAoHINeeDOe2YMPUI4wPp/x7vAZf8z40/Rc3WEdvlFnhvdUjuAT YTL+HLTBu8No/JdwbO+Ch8Mx/g5vBL3Da1Ash8K4cExbpGOs2BY60/QZ6Wya wO14t33zPwRf4l/DfLyHYoqvVk3gt8A1+InsZ0M4569jfArjzVoL3MC4CeOt 4RqYw7iu1hyumS/whnBPeM61qg+4N/zODekcU24pJgPw/lozxTqU8R7893Qu KUcG4QOhpsJn0gO/hPfvxatgGOMu8CA+Hk7Gn0jX+lFwJs92TteeYrpMuZ6u hW7as2KZrt2dcBF+bfpsO8BP+C5oEc5pnV1rWBo+wxrFJx1rXeuDNy4dqx9h OOP71YPw5jpz/Hl4Af+BPS1Pr0lrmRXOzQ/SrhxtnN6j9tYPmqqW4VF8YDh3 2sIj4TM+t/SZ66zVYy7Fb0v/Vu9vpl4Ed4ZjOhIfnM71x2BI+ppcOfZJOqeV y7PDvWkxzAj3KPWWFel76jE6+zUwL5wDU/AX03udwngGPhNeDp/57HTPVa+d Bm+ne5p62evh3JqX7tXKsZfwqem5dvD7fvgd6V67nfE0zZ2+N1U5qd+mvZpr S9I9Vb1Ue/gqXROqBa15VbomVAtzw73h87SrR6hXL0qvTT17ujw9t/ZUR7mV 3otiPCp9Boq9cqBrugeo9pWz6iUXpnNZPeUCvGnpXqDzVG9RTiuX1WPqMq4H a/F2cDp+k+Kr/cOppb9R+jZtUT2Uzknl4iYYm/6m6Vs2EQ7n/hGle2cb1Qx+ ZGlfE861sxnvCOfcOaW/Yfp26dqIdA2pdpSDDbhXv/Ta1sHR+DGl52oLx+J1 Srv2oN5yfXqt6jHb8K3pXvYUXKxcTHtt1Qy+Pe36pk/Gn02fvWrqMj0Lg8Lf 4DGqBZgQruHR6hX7zkPXxqt20r1H/wG+Sfds9eoF4V53Yzq26nmVjBuW3lv7 cK/skI6temYV3qh0bfYP97716bnUA/VfoX069vrPoF7WM/2setr/1t07wA== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0TdOQ0EUBdBvkjESBQUFBbJcQMVGaFkCLRIsg2BKsMmZBZBDSUVvTM45 55zPFxRH7868eSONJlHbUFMfCYKgjirCnE+MYkoopYxyEmHfoU/1iw9++KYl nNfLifxdlEcuScuoWkgBRcRotb9IXJ5X3xnllRHemOOFYZ4Y4plZHhnkngEe mOGOfm7o45Zprunlkh6umOKCbs7o4pxJTunkmA5OmOCINAekOGScBdoZo41K 76qgWd5jn2122aGJDTZZZZ01GllmhQxZltii+v+ffgFOSEPY "]], Line[{167, 197, 188, 273, 168, 272, 169, 274, 189, 282, 171, 281, 172, 283, 192, 285, 173, 284, 174, 210, 286, 176, 201, 202, 146, 199, 289, 290, 288, 292, 291, 193, 175, 295, 145, 198, 190, 296, 191, 209, 208, 170, 280, 144, 147, 206, 207, 205, 298, 297, 143, 278, 279, 275, 277, 276, 142, 270, 271, 267, 269, 268, 141, 195, 196, 187, 204, 166, 203, 167}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{300, 299, 303, 607, 598, 599, 597, 601, 600, 538, 603, 604, 602, 606, 605, 539, 609, 610, 608, 612, 611, 540, 589, 692, 575, 596, 559, 594, 558, 595, 537, 302, 301, 300}], Line[CompressedData[" 1:eJwl0ltTDAAAhuHN/yBblJSZSEnSbHQgZqn7bpqhUrurJMdVOjhlqRw6EIqi 6Hze3X6Ba/+nZ8bFM/PNd/0Gm2IN0YxAIPCdsBHiL8cP+PjBN2aYJo8vfOUT U3zmGBNM8pFxxsjlPR8Y4R2j5PCWYV7zhgRHecUQz3nJC44wyDP6GKCfbHp5 SpwenpDFIx5zn4c8IEg397jDXbo4TAedRLlNjEzaidBKG7c4xE2auUEhW2yz SYgTHKSFk1ynngskqSRMPjuc4gpVpLjINQrYpYir1JCmmjlOM0sxP6llnhJ+ cYYFLvGHUn5zlkUus0wZS5xjhTrWKGeV86xTwT+NLLHMCqussc4Gm2yxzQ67 JEmRZo9FpkgQJ0Jjxv8O9wGaNE/m "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl813McwPHvriLSKEe5WopOJpUzUikmyhyRI4pcWW5SSXN0oQOx0uko FrKUsXZvbS3NbrRG7vvoQofj+Xn0x3Ov7/v9/T16/Pp+vlvSqHGpaTFRFKX4 kRkXRbmxUZSh/9E3Poo+0dO0F715x3yKRhzLMbxnd7Vew5UM5ypW21+uVzCM VC4jy/5SHcrFXMIQ3rUfpIMZwAUMZJV9Pz2fc/nUfJ5+pv01hovYbL5QGzVF 43iGLeantUmf1WbM5nPzLP1C52hz5vGV+QX9Wl/UA1jAN+b5+q2+rC1Ywg/m xfqjLtWDeYWfzMv0Z31VW7KC383L9Q99QxOpIZkNdtn6AWt4n7WU22eFZxrO IDyr8Fwos39L3+ZNVpIZzoR097rxjzON0QQOpCWJJFPFv+EzHBWeCZWuGzjC 9VaOZK95k+7TSv1Yu2tDeEeoD+cRzoaj2eN+k24K30FrqeMjdttV6N+6UQ8P /2/+Mpfpn1qubShklzlfd2qBtqYz282n6jbtqYdyEidSYZej6/iQPHLZaF+s JRSxntLwvey7aFcOC+9MuGdXTzvXO7QxfFY76SHhvaEV53A2v7n3evi3tY5f eM38q3bUE6jmIBbxvf1C/S6cS3h/KXZ9lp7JGWTwUviu9rWc7roPz/NceD52 NWxlrvlL7aBJ9KA9VcSHMyOB4zkuvFc+W01b17GcHN4587V6HSO4gevDe2h/ o97ESEYzimz7W3QMN3Mbt4b31/4OvZPbuYux4Szsx+ndpHEv95Bjf78+wH08 xIPh/OzH6yM8zEQmhLO0f1QnM4kpPBbO2f5xfYJ0nuJJ8u2n6XSmMpMZFITn 5/ejjPWUUkIxRRRSQD55sfv/Rv4P3xS6RQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1250, 1249, 1400, 1555, 1690, 1602, 1689, 1603, 1691, 1628, 1853, 1629, 1652, 1651, 1557, 1694, 1695, 1693, 1697, 1696, 1558, 1699, 1700, 1698, 1702, 1701, 1559, 1704, 1705, 1703, 1707, 1706, 1560, 1709, 1710, 1708, 1712, 1711, 1561, 1653, 1654, 1631, 1668, 1556, 1681, 1680, 1679, 1604, 1692, 1630, 1402, 1253, 1252, 1251, 1250}], Line[CompressedData[" 1:eJwl00VTVWEcwOEX5YKiiIVFeC8WioV1XVgzjoG6cPwEirGzVrbO6GCgK/tr KNiJ3YqFid0dGBj4nHHxzG/O/8yJec95E6Vzp8xJCSFU05AaQh2zYyF0Swvh EY+p5SEP6Mo97nObu9yhCzXc4jo3uUEBV7nGZaq5QoKLXOIcFzhPnDOc5SSn OUVnjnOCoxyjinwOc4QDHOIgeexjP7vZyx5yqWQXO6hgJ51YxVTmMYwcFrCQ UvqlhzBN++siXcliljCWJ4xhON15yjM2sokR9OA5L9jMFrZSSNJ9p+s4XjKe V8yg2LmluowJvKaEkfTkDRPZxnZmRc9zzUxdTi+GOp6k8xnFaspYwwqKWEc5 a9nAenrzjve85SMf6MNnvvCJOr7Sl+/84Bv1/IzWj9/84RcN/I3WkxTv1ohA Ko0pNk/TdGI0pQkDzJtpczJoQSYDzVtqK7JoQ2sGmWdrO9rSgfYMjr675tCR PHIZEv1vGiefAhIkzSfbG6NJUkScbDJi//fPP9Ada9A= "]], Line[{1595, 1365, 1369, 1373, 1374, 1375, 1376, 1511, 1627, 1838, 1626, 1836, 1625, 1837, 1647, 1835, 1624, 1833, 1623, 1834, 1646, 1832, 1621, 1830, 1620, 1831, 1645, 1677, 1616, 1827, 1615, 1678, 1641, 1664, 1614, 1640, 1613, 1851, 1850, 1592, 1849, 1639, 1650, 1845, 1846, 1842, 1844, 1843, 1665, 1594, 1829, 1618, 1828, 1617, 1643, 1855, 1642, 1601, 1593, 1852, 1644, 1619, 1622, 1595}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.7249999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.7249999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVse2wLHE3o1dUYI9WIJdkVFjbEGjoMTeNdglKMao0ajYO6hYYrBi FBVFY/fDRhDFgiBSRHqTXizYXt5a32+f+44rz5t3c++7bz3/Yv3WzJ5v78PM nj377DlmY2fYTihsYmLSvbiJyX/+XTTvTXNTlwjDmKtLDCOsvFX3S9NDvAfd Fy5f+NKzZTZ+woNNv690/FdPYeSH9nwU4dv1isjDyMPIw8gXPfI81HbCLZGH kYeRh5H/umSpyd92vy/yMPIw8jDyFheqOXSyfyjyMPIw8jDyhWY0mFjU4ZHI w8jDyMPIP9lQ40SiVYzIw8jDyMPID5pc77Ob1+NEHkYeRh5G3vB5I+9j/RJF HkYeRh72Syj0aHjsSdWkTvMWbqHJavg0D7OSdwOEaXd92vrod6OfSDtM++s7 nZqNSElXsTvbLv5mWqghynl32Rbj3JWNoe+AvHm3hdEX3r9yuFWrjheEWx9Z 6Vmi3CY1y/tQpplrkqrnXcF/h8cVYdqjVh6fXqx2qrKp4t75/MJ70g7TTv9e 486kp+5LEz5hZZh6p1mmjE87zw99eH4wzw/Gfr1++uep1492+vM8YZ7n/PWT FwwZtdZQ3SxtcZNBB4RrFiTfSc5KVJUHxBd7POEXNXjZa5stqzNUau6oVMet IfJ7O4q+ct2y+r66PXFq+WFtktVna7Y/7DY3zGBx9NAgi5kzleuRoE/XjAkR zr9damFI73vCR6Nd9nUeHyAs683IjuZP+9xtfUXY4dat2OulTgrz/y3V5Ofz maPOyfODsaet88aLDfudEn4c4XX2jKNB5FsUpIattPtN5GH6X6sXP3R/wDXh 7fezB0+PvCHyaS2KPFl7/q7Iw/SfvuytfbuM28J7di5ramISJPJXYiuk2AeG iDxM/zLOa3+JXxEsPOcrt8Y3KoaK/JbNpkl1H4eLPEz/mMY7PI9sDxO2Kbyn 4SbzSJGf2ssiITnrscjD9P814uB+Z68o4Q3hX286sj1a5D1e78we/GOsyMP0 79Ez4l7dxzHCBT4jK24yj9P+f6F7Z3YulaD9/4xMf+96sf2LOsQLj187YYOz V4L4A/rD+B/mI/OZ+QjjP5CHkWe+0p/5CjNfYexBnvlLO/MXZv0svZ/ZL3Bu itjH/gmzH8LsbzD7Fcz+A7OfwOwPMP4e1vtv/FeRvRvbBlS8qPbU+L5s/Z6a /2A94u/wjzD+59K6h7Nsz/ipDK+ngccLp4n/on/Blw63DUm3VfsuTuvUpVTx l37LDWkLbRKs8Zcw8wWm/3cLPI/1bpUk/hWmP4x9MPrA+Dv418MLDo/+IeQd /+tVbODZqje1/eqHrfMGjHTMUJFFp08cvTJEjbvhlNj+frKaf3nZ1e+6hFqX X/rwRMbkVcLhg56MdvLfLRwcsfH2j26nhbs4ex0c8elFYTe78XFB6deFAzwc 73Y56y+8K9Iw40SJu8Idl/SYOGn6PeFZ6wOnzasZIlyh7cDxloseCPfqFjGl u0W4cHzymLEvN0YIm+YnTypr/Vj4UWC7lrEDooVf2L1s9aRRrHBPT+tjfuEa j2tW2OeOd7zw8UVfND88LkEdcJ2RUPPUHtXVZYlDm9+fN+21htocWZ+WpJbm TRnYdO9DA+1dvijkva/dA+Fe7SILLjjdFS5VIc5reoVbwqxXuGqee7efV/gK m366PLfRuNPCkSYHzKu28RV9xo6aN9WszPV39GsXXf64+5UUYZdWdhazZqeq QxfHTnne+670z5gaWP6HU0HvyO8+W7Xlgi/ThDPLDD08+I3GpV3rHBsTnCE8 JHF0087LM9WheoMjjhuuy/q03rO735uvDkj80dptXtG5dRIuEU8gL/7FyOJf jCz+xcjiX4ws/sXI4l+MLP7FyOJfjIx/gVlPMP5iz5I2d0p3ChT/QXyz4q2j y6AhqdKfeKbUuvIlHDpdU42fra68LF57fl+npe17HHNIdVlu4TagtPc7z3+J 0xrHhj8kq5zeN7pkVr2lhix/3aWq6xN1bf23Q7sOOKPCjqXHftNMe/4T0v2n 1TmYqLZd2VWoTcWd2nyJsjzjXs1bVTzZs9OD2xnqxOKXYdtX+0j8JOvPGD/h P5EnPtPrx36BP7LMmfvptsBkZRrvOHvd7ocSjz3/YfqKoo2CxJ8mex4fuzL8 ngq7uKlKg/ZavFo0pmGPy4czZb/Ef/YrcyF1UlyYoeVvq3sZBnlYf1xmrl+t 8ho7NzteY8KzYGHvZnmdfW6GCLN/Ml6lryw2vvK5J+0P+6VMPfr4rvC30d0W Za6/IZwa7e+/uv1NYdYrzP7K+F7mHWaYlrwq7W3NfRouHn1ZOONmj+1Nxp4Q jr1l++lYn1PCrA+JF43P273CRq+bxX20+ephn1Ay0lfWk8SHxvb89HFBczyv Ck8q9m3MjrcB0l/iQWP7z3YLb5e8GShc6le/jC0bg6S/xH/G9n3D+yb0faat vyiH4LRRe0Olv8R7xvbvyw+Lq1oyTPhkrdjUxqcipb/Ed8b2flccYh7XjBL+ ImlO3ndx0dJf4jlj+8aO52cM3KKt72O+PziNmBon/SV+M7a/rHwlo31dzd/X 2O6S0zVfi9fYX6PMbwwf9lW4rIfEKvs8nVYHCzO/6L9nYociGXWDpN32eOOd Zc74CzNf6H/L1s6uUMxVaT8xrVLQuBPewsQr9LfpHtrA4exZWY81L7VZsGS8 v7D4V+N6w747fnfSCn2m7QfpNq5ZpYpr/ovxd9Uu7bfud/8m+9fOptV/d/TC 9udPFZtUO0TVmX817MjrZHVpsmfVfr/eV58bJp4uvjxFfh//z+918HgwJfHs E83/Ndw+I3N9uvRnf6B979xHqQHdMlRGwbZ2y6v8rMyduiWPmJ6pLvjbhjfr 4KsWTWz9uNKqdJWlVrcqcf68nB+JB01a2E4eejtdnt/tLz/ZNbpRupr4U8iG AxGXJV706B0YXcd2s6y/06s7dphTc5HwtRs16w9q6a+UrVW5VKs0tTNyxsyW GXdUsQPL68Qmpqo1X26+0DrwgdLv51/cT2mZOuCMgfgPJv6Dif9g5P3r3oqt /ukGkYeRh5GH8cfsXw2PZ37+2O+R8GenDf0avowVvrN5+cvISknC02Z9ddC1 6RPh0nbVBvXplikc4p65yORItnD9FXahEWdyhZ3mnG52+lq+8JWJtZZuuvtM uKL9wvBpkS+ER38R17J38kvhY617Lq+f91r4rfnhR2/fvhXGPvZf7IOxD8Y+ GPtg7IOxD8Y+GPtg7IOxD8Y+GPtg7NPnm5jP2AtjL4y9MPbC2AtjL4y9MPbC 2AtjL4y9MPbC2AtjL8z55ORAswf1OmSJ/TD2w9gPYz+M/TD2w9gPYz+M/TD2 w9gPYz+M/TD2w9gPY/+ky/uquC7IFvth7IexH8Z+GPth7IexH8Z+GPth7Iex H8Z+GPth7IexH8Z+0+aNB310JUfsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y +2Hsh7Efxn4Y++9vP+w2p1ie2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD 2A9jP4z9MPavKN4iOKVPvtgPYz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gP Yz+M/TD2W886UXn4+qdiP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9 MPbDK4IabW18LEzOi7G/DXveJzNaeNEB8/2FiicIm7o8GXDGNEX4wjifN9Pb pgs3230xpJJnlvD8DWYWGSdyhG8tdFl841KecM0ZKQ/3BTwVnjyyb4tFD54L n+l73GVYbIFwic5VIttmvBL+2mKuZaWCN8LYp3//QTzM/xcmPiX+ZT5IvsR4 Pi5XOi5/SESW8LU5E9vcqpsj/F18yizr8bnCzQdMO+l9ME847mJW7ifp+cL6 +YS+zCeY+QQzn2DmE8x8gplPMPMJZj7BzCeY+QQzn/TPl/iJ50l8gb3stzD7 D4w/hvFPMOuVfDHnB95Hlc1dtKbE3UzJF5NP5jxCvoX5zvmM9Q2TfyffzHmx XcTOSd7DvSTeh8nXzKwXaWnWxUd43ewfp5l22GPgPEt/mPMC51faYdr5fZjx YewhPu8Qd7VL372h8v4N5n1C6OXV6UXOR0g78jDnQf356e/Nt+vz4cxvzrfM b5j5DTO/YeY3zPyGmd8w8xtmfsPMb5j5DTO/YfyJ/n2APr9/cv3P7t/+N/n9 oHMRZn4vvA3wrS6L1wdfP2AoyE3Li68cplY2HNO17Lgk1bTpiElP4sPlPFux dtf1kwZGC/s4OY+xWBUjfKyghFW9qfHCA2yty8XtThDuG3Y3+cGSZOHMlsXO bzubIvzktPvmtTvShNeWv/1N/3vpwt2/bGm2Z0iWcNVnfVYtydPYraPbnAUT coTHJx6NHmmSKxzf5HngYMc84ZMhldp1LJMvbFljeP3WC54KF77uvLZK9WfC i0v4fl9+5XNh25PhcVnmL4TvPjO/l+pWIOyx17rjrRYvheslLW/k5/FKOGvT ng2enV4LT3/wZMFurzfCXRYXS1rc863w+/Lp/D+t2laqtvdolnDsY5/gCiWy hbP2bLavkqvxFpt2Hy+xyRE+UL7GluXtcoVtzp6zy9+g8dD5O0NezMsTNmlo 7fpNiMYVUupWmeqbL/zrpstBYTWeCrPfwPp8Bfnj9+XXkxzbmpW7oOV78Pfu dm/sbRpp+SS9vye/LPlQo/+X90dG/w/j/2H8vz6fr89P6fNJ78vfvzc/brRH /L1Rn3LLIj+fv+yU8K6BhbbeHbzD8P89f85+gr9cOuScY+2NkX93/pL4E3n/ Eg2q7nkVJfJjSu9P6D46Vsv3GeNT+hcaF366+JY4aX+bMnXTyzmJwsSv9P+5 657xl44kSftP/q3VifWpwsS39O9cb3LF2defSHsnz1dPHDwzhIl/6R/x5rNL nz7KlPa0bmNvrR+Vrb3PMcbH9L+QMb+NY4HWbmXp98mUKZo/JX6mf5mo6NU2 xTT/usas6dweczT/SnxN/6GB3WMbVdL8bXiFdXfMlmj+lvib/ocuHGxfxFTz v01Nchq8Xqf5X+Jz+j8/XGZ9VBPNH3+XOWj+w+2aPyZ+p3+vHTMTzrbR/LN/ 1NkgnwOafya+p7/7quBOm7tq/rrq7TpN1p/Q/DXrlXid9bmsSc7J0Akab0m7 3zayf7b0J54Xf75ldl7vQ5p/shnytXO/zTnSn3hf/HvhF60uZGjyJn7hp3zD cqU/5wHx9zPmOzVvpfGvliPzLU3zpT/nBdqHR7494TFH48k/x7TeP/apvC9k /fV61GJYZ7tQdeeJ48cbaicrj2rFC2z+5n0g8WC58Q/qV32VpPT5df37Sn2+ XZ//R5/ohf2fTSqj5f+IH4nnYOI5mHgOJp6Diedg4jmYeA4mnoOJ52DiORh9 2Q/RF0ZfGH1h9IXRF0ZfGH1h9IXRF0ZfmHiT9/XEozD7OUz8DRN/w9gPMz7v /xkfZnyY8WHGhxkfZnzqCRgfZnyY8WHGhxkfZnzqExgfZnyY8WHGhxmP+gbG gxkPZjyY8WDGoz6C8WDGgxkPZjyY8aivYDyY8WDGg5GnHgN5GHkYeRh56jeQ h5GHiT84H3K+hDlfwpwvYeSJT5GHkYeRh5EnfkUeRh5GHkae+BZ5GHkYeRh5 4l/kYeRh+hMfE+/o65dhqbfTtVPPIPXKxnbJhxiZ+AtmvunHo94Bpp4Bpl4B fWlnvcK00x956hdoh2mnXgGmHgH9aUd/mHb6y/Mx1ifwPGDmu76eVPJfxvhc 8qXG/xdMfA0zH/TtxCuMTzzCeMQbrDf9/0O/H9Au+S0jY49eHv8s5zWjP4Xl /oPx/wHTLvcbjO0w7fgrGP/D/wOmHf8C4z/4/+jvH/A8WT8w7TxPni/rqfGu Qf0zyyQq6q9XGdbubZ8fo6hnJl9GfTH1wtm2Pa8nz8xRD49mv6hcKF5R7wpT H01+knot4jV9fo526pO/LFkywaxyrqwXqdczymMf+vP7PC+pR+b/YWzn/MN5 lvFhxqOeHP2RJ58Kk4+Fyb/C5FNh7IV5vvBsD7vt54IeC/P/0OtPPMT5DP1h 2rEf/4e9MOc15GHJtxrPZ3L+NzLtnMdoh2nn/EU7TDvnLdph2jlf0Q7TznmK dph2zk+0w/rngz/n+cDMB+4b8P+gfp/9Bv8Isz6ZL8xH5ou+Pp78i9x3oX7K ON/19fDk59nPpF7fyPw+81FfX6//ffJ7/L7UTxl/j/cJcl/D+P4BefKByEt+ 0Nhf6j2NzPsK9g/8P8z+z32DLTtd9h+7nS3yUh9rZOIbWB/PMD73D6wSr7o4 W2SL/sQn3EeIaVF4YudVWeKf2X/ZT2H8HfdH8M/sr+w3MOub+x7MP/Yv5hv3 j1jvnNec1549EFA9WfG+hflKf+S53wMz/tk232/bVTbpnfMU+S/2T5j9E8Ye mOcBc36EOT/CnB9hzo8w50eY8yPM+RHm/AhzfoQ5P8IDL4w5E5eTKPv3uRdH G097ou3XwxcP/OVHz1jZj5sOfXrfdWPEO/vtP+s+hdy38iy5Z/TULGXdvlpH x4xg2a/5vW+vl1mQu1yLj0181ZHKK3PVF+3Gt/y6zO/zYUFNh5FeGwxJyWGb xz1PVOc8okZ4mv9+Hvzc8Wpgs9/34SO33izsGKrONqv+XbersWpsxImuvWvG qIHfFbZaMSdSmZvnjgxNTFDlfKL935YINtQIdcjoekDL7/y73tdgPawu6p8w ZG6Q2pGQnV23vxZvv+8+x4w9fqfGjEpQAT9lhXs6au1/dL/jfMfCGbPLxKu7 jodrbzin1Qv/0X0PqRfpVjM6NShatR88a+vLXXFKX3/8P70PwvrsXqXI/tN9 ElRkxKiwyX2jZH9I/D7n2oS5D0X+w/2R/3p/pND1UnXTxpyR/cL+adld3Z/f NlxpEuxoUTVHjb1QvXQ3z4eGJmvbPt/fKlftGh0+eVrPcDmf4M/JR/6z75c4 LHIM/nl+vJwv+P2VrjHLjnlq95P+6P6J28TF3uunRMt5g/3OstC61R06vns/ hf3t0NRddh3NtOf9R/dV9PdR5L62Kl992IYc5bxveUrHjXfeOZ8cCr60cHa5 XDV08dXll6eeM9i2qOTRNj1L3ciInmlyK06eb9L0wksatY0XHrZ3r7vp8iT1 ebXwboNcAtVl61ivusOSVLl1nRNLj72r2gw95R9cO14FlTtaquqqKFXd3X6r xbHHKnPoUO9CI+LVwwYz7i/u8FglJJf2c94a/977Mfr66/kPihS377vH0Kjk Z0lZdllquKF60QlF/QyLdpY50niJlk//o/syJyfuvD57vHbeSbcYdGiKW5Jy n3tyUtysw6ps9pVP6jomqYDmAx/3Ovbze+/PFDSd7HAzNEFNs21QfqpV0KX3 3acpl1XKZ9ZPiRIvbyuxO9HNJ1FFjPstY6HXQUPt6neKtZ6fKPmKiobkZT/1 SFQOl0IX2gc8UA0LHnxcqauWr4j7dmlC2GcJ6k3rbtUsP45QFSb89pvtlhiJ h1rN9fGqNSxGVRhavk3da7Fqhp3J2ad9ElWqabGpc5xOGoqfubwv3zlRZQR/ 1O625XED+rOf6+9zfWSbtbXaaS+ZD2b9H84+8PGBd9Yj95+I1xlv1Z7SGc0m ndf67622cOK5S8IF62pt81jzm/DidZv7F42/rv6n92eI1/n9S182OORY+baM 19bmcE7ZC3eEzyytc+Bi/n3hH5aG/zjDTGPWJ+PVHrenecMOodJuPy7BdlbZ h8J5XY+8bdogUvhc18kRkf0jhPEHUu9Sz3KFq8Njae+9oeODmabRwtsW7rKw aRorPO/t/JoNfGOEiWcZ75vAg3VOxyVJu0vfgBZRfZOFv+xy6/OHQ37fp37q fPSb+E0qxKr5srNDUqX99IUyszZlpghz/mX8j7xmBkx7+UTazS02RbpNSBN2 qvXUcqZjhvCgHcH1ehfX+GDDvZXrXdPOyzvC5wzrejRJhZtbPepj7aOOtHRL vnM+SVVw9X36oOZp9VO/ERbOgUmqnV9U5XlOvqqVi1/U/oAktc8lZuyqjIty 3kY/2y92dtpUMkt+b/RHR67tt9a4xOuoGa7ds7X5Z3U7cWF5jTmPM55Ha5NN 06rkSLt3XoVaP/bReHBaN7/p/XOFe1lYdh5WS2PO74yXZT4+uZdZnrSbxM9y HG6v8cGIA7X7DM8Xdq+1xbVtI4057zOedWV/6/rNnkp7v/sPf2s3VuOnAaWc Gjg8E04sVZBSsZXG5AcYb11hi81v2z+X9l1XrEwrT9e4x7npN0xmvdDWU8GI LunWGpNPYLzI7PVPwrsXSHvacY9ZGXM1dvslqG7kwpfCS1Mub/HvozH5B8az iMnt+mv/V9JutbvozRsuGse7t3U+vfq1cPDDBul77TUmX8F48+9+7b5x+Btp X7XBwWz/Ro0tV2y/tWnrW+H6/is/XzhW4z97Xy9qTMCquRe1fEgL050hjW8m qcovLu62LXVNDanf/bPSfknq1GSXVfu2Xlc//lrswpndScp7Q8v2k4rcVJke Hed5+CSpMeXGVr8T4/9Pv//3aJD70qyeScote/dGm9d3VcimiyVCUhPVwLdv RpVwvq+eDP2hjWFbohq5IMetf7uQP31f0Kd47nG7Uwlq3/3a2Y2bh/3T7w+G bS5qcX9KnPIfPOqLztbRkm94k7Juu2VElLqXXOfRLNtY1dlpmtWY/TFqSOHO QVcrxarTXfoXmZod8+H+4V98//Cvvl+4u7Ltuqle4w2rn2bMevuRlv9ybjnk Zp9yOeqp7/r9GxbeMPg67Fr58kK2KjzmvEW7uQEGS6v6ueUDs1WbluU8WlVO lPyQS53PrrfZrb3P3pZkaf4iUHv/nOO60CfZVXtfnFWm96MfHrhL/ku+j9J1 fI8Ysyw1+fH3bf3dLxuiux1PXNU+W9Ucmlbc6eh1yc+RT6unOm9+203Lp/Xo sLPaxVdZqr3Zt/kHY30l3/bm2B2r4IBwZbryRdTyA4mqav5PqYt8f4/r5l4t kumRpXrUq7jK3v6BIXpL37SO6TmqRK3woi+rRylD5Uv7DpknSD4Lf3a0Rvm1 Day0+DalzsuBcXvjlbXr8EOd0yPV9ZGJi1fvjFZh1dpPWL0pTh09YHnqc997 hokjuszcNDJHJexb2yLURcufsb4Yn/wNz5f8DUz+Bub8DXPehxmP/Bvj6esR YcaDGU9fr8H/m3wbTL4NJt8Gk2+DybfB5Ntg8m0w+TaYfBuMfsw/9IPRD0Y/ GP1g9IPRD0Y/GP1g9IPRj/WAfjD6wegHox+MfjD6wegHox+Mfvr6DvIB6Auj L4y+MPrC6AujL4y+MPrC6AujL4y+5CvQF0ZfGH1h9IXRF0ZfGH1h9IXRF0Zf GH3Jn6AvjL4w+sLoC6MvjL4w+sLoC6MvjL76+hfyOegPoz+M/jD6w+gPoz+M /jD6w+gPoz+M/jD6k29Cfxj9YfSH0R9Gfxj9YfSH0R9Gfxj9YfTX1//I97SM 9sDYA2MPjD0w9sDYA2MPjD0w9sDYA2MPjD367xPq63H07xtg+ks9jjH/S706 8jDyMPIw8tS3Iw8jDyMPI099P/Iw8jDyMPkk8l3kT2HyFeSXyC/AtOvfp0u9 gvF8DnO+hjkfw5xvYc6nMOdLmPMhzP9Xrx/nN1hff6SvD+K8QDxHfpb4VJ+v Jf/N89bfDyT+gfXv3+X7E0bWxzd6e/TxDu2sJ5j1BLOeYNYTzHqCWU8w60mv D/EELN9bNdqD/+b56r8vyvsGnjfrkffRxM+8/+X7ibxP5nuA1JPo622QJ17n fTr98QeMTzyMvrTze4xPPQSMPVJPbvx96oVgfh9/ijzxPfcHeZ6c//GvMO2c 32mHGY/38/w/OH/jv2Hs4f088rxv5zyKf4DlPqPxPCn3GY2sv69IO0w7z1vu SxqZdv4/1AP5za/zen/9VOGPp/5o92PLNOHxwxJ+GW6VIYw89QEw3/8csr++ Se36WdK/0E/2h0s2zRY+6LbC/lmLHOH+a84VSmiTK/x8SZpXUKc8YY95poN9 u+YL93DqX+Roz6fCGZMXH93R95nwlrEnh6y0ey5sPTSx6JwhL4TjB1T3Hj+q QHhN7z7DbCe81Oq/us4v1mXKK+HI9kePN3N8LbykZfTwWnPeCH/auFKJkgve vvN8+L4pzPdNmW/Eu7RTPwfjX5k/fG+U+Uc8xHmTejsYf8x6o/6O9QLTjr+W ei8ds34ZX7/eYNnPjPKw3j/Qn/kHsz8iDyPP/KQ/8xNm/0QeRp75SX/mp/g7 434r+S4jI8/8pT/zF2Z/Rh5GnvlNf+Y3zH6OPIw885/+zH+Y/R95GHnWB/1Z HzDxAvIw8qwf+rN+YOIL5GHkWV/0Z33BxCPIw8iz/ujP+tPvV+wffF+W/ULy h8Z4Q+ptuI9klKd+FD5gCCg67FSuyHMfCXm5n2Tsb+K8pr7b1xoPs+jXPfBF nshzPwl5ua/E94Fjy48vtlPjCtvuLVHW2n0l4k/Wn76+i/gGJr6AiS/Yz4kX 0I/9nt+T+6ZGlvumRpb7pkYmvpZ8oLEeTvK9xuct9VBGpj6Y5098yPOF+T3s ob4S/0R9Jc+H/W/gngvfP1+ZoL5PvrK9lul38r0A7KFekHgDRh/0Yz7g38gH oA/+mviA/Rj9iE9g/fcMsJfnA/P7zC/8I/sF8S6Mf2V/QV/2B+IdmOfFfoI8 8SLt1GejL/8Pnhf68XvErzwf5NGf8wXM/MTf8/v67yt8qEf8c/WI/9e/H/F/ pb7xj75X8b76Qn39oL4+8H31f8zncnUej9jbJ0ENPRgw0Otv6vc+fB/j3+v7 GP/o9y/eV1/4vu9j6OsP/+rvZeCv8c/6+it9veP76hHfV2+or7/8o/vs+nzl 31tP+Ge/t6GvP3xffdm/uj5R/30J/ftV/X1/fT2i19rVg23/pr6dfJDTpE/G VrJK/NP1iH/2+xX67wvo6xX13yPAPyL/v12v+Ge/j/K++sa/uh7xQ33hh/rC D/WFH+oL/1X1hX91veCfrefT1+f9o/Vz+vqjfpVrjI/Pj5T864fvL334/tLf fn+J/V7/vvTvref7d/u+0j9aX/hX1w/q6wX1923037vS1xPK9/8ODzu3NN/J 8K+uJ/wPrdVdVg== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdw1kUQh/fSMTG9vwFSfBMTBIEQQAlWrKjBoAQNSEwsaJSgomJBrIRv 6ujYe69j73639y7KWMYyYxkdHR0dHf3t7JOZfHjmf7e3e7e3t7vv2zI81r8u x8z+ELliPzFfdIlLxWWiQxwgFogZolgUiEJxsFgoZjLPYZ9VYlBUo5tY20Hk I1sm+kSRWCkGRLk4QiwXJaJS7ChKYQp7lPF1X2pFBbp1fKugFN1DxFKRN8ne 1xpFDXtMEw3IpvPNiItEN3EYRa9VrBUnimb0ajl/DPs2sQuxTMR1BnHIxw+/ z5BYI+rRK2A9h5gWEPuZxHYp8lzsS4lRH/GYsCnmjOXc1+d7iz1Ep9hX9Io5 xL4KvQruUsPeVcR0Ir6+tlWMi7nMM8RrEJ0q7pRh3kDcpk6K7zTi2YJ8jLi6 fASdDDFuY74If9vxr5G9dxO7iqxF3nYwHmfeTowquV8Ob5ELHlvPjd3FLGwP FEt4wyz7t/NGXezRSwxcvljM5myPcTdx9hrqQe5287H1Mxdy7izukMWvBfg1 G5+y3LuXsy62yMse/FqEvBs/OrDNMvZz9uSs44hvk0UueW0Ucc8l+Oiyw5Dv Y5Erc/B9/0k+HsQ9hsQwe3q+eQ17LZcw99wrY+zyTeJYi5z3tT50/buM8eGM 3YdzmPv4UPzLY+42hej2Y+t33YhOIfd03SPxzXXOF6stetRRFj3IffN8HcQ3 z+MBdMoZ+z3Ow6actUF0z+UM338NcWlifRV7buQOefiygn1Wo1PN9xj069mr Dhu/Sy7xG2I9g46f5fnmOb8z8xHWV+B3OTLPg2ZxPGPXPcmir7n8AtaamHsd eg16na63qFW3O4H1zdg3s8fJYidxijjVos69LrwHzUM+yj6jzF1noi94T1iH vJXz17LnevyY6Atj2PXzBh7/Ddi4/unYtCHbwPgsxq5ztEVOVCM7Ex2vA8+/ IvY4DX+8Fs+2qH9/q028xTCx87h5jXqtdhKDM7ijx+ZCzu1Gr5NYbiaGPcg7 uOMI8nbeN8see7HPSu7g/g8w9/HN4k+L979SdKWo6XJ9H7foHzeK34nfO+Jq /OmQzjX6XuLnppj7+HU/M4WP0/V9jbdtTWHvtm+Lqyzy8F3xCb6+LGpS9KkW fdtSxMj3mJpin2yKNZffLz606JEvibcseuKdwpuxx/sVzvOznhRVKfrf854X KfKtKcXZi1l/wkKnWePtFjrPikyKN3lElKbIg3tFQYp3q9X3aYt+WKnxFRb9 t0zjRy1y6in0XOdukZvibV23LoX+m+Jyi77v34oU48d4G3+X6hR39vuWaPyw RS57jW8hR17kDvPIi3HiMEWyBy1qaC5yz51bxd/kSr507rGo2wdEUYo8zdH3 Lov6d7ut7PmfuMOi91wr3rDotf+I2yx62C/iOose95e4xaJXbuc93E//v3mT Ra98SBSnqKvfxA0Wvf568atF/X0jvrX47flZ/GTx37NBdo0p6tDf7RmLt/te fGfxv/Uj8R6557nwHD68YJHHHsOvxVcW/39/ED9a/LZ9IN636FlbiLvH4WNx n0VOfiG+tPjt3CY+taiv+hT15uPPxau8g9ffNuS3i38t+sdn6LnO/80m2uo= "]], Polygon[CompressedData[" 1:eJwt1GVol1EUx/F75+xCUQwUcfsrbjJzdnegosNGRYeKE50dmzNQEPuF3d3d gZ2goIKtCHZ3d3x/3PPiw3nunu3ZvSduyeRBSalRzrlOiMYFxHnnphAroTjP B4mVUReXsQnlUBMFeb+XWAF1cBu37H195OP9LmJ51MAp/EZ3ZOAEvqID0nEa /9ALY/EQU1EVTXASP9AFY/AM01ANzXAcn9AOaXiD6aiOljiG92iN0ZiFvOxx JDGCOSjDerIiziCKdR/iOMxAdtapxBjMRC7WQ4mxmIfZqI1GKMS7fcSKqIWr 9j8jlp+NuGS5Uc6OYgHq2Z7PIjPfSCGOxzlcsb+dgO9Yga7ojBu4ae/1vXt4 ZLmLR26+tYM4AsPxFI9RFk0t10/sWTn/ZjlXrjviNV4iAS2QxYc9aS/94XzI mXKVbLk8TKziQk5jWccgjueJ+GM1V617IJMPZ9ZZ++IF7qMxmuOBnSnefnbH cq5cN8QvrLJvdcNHLEES2uILltlZ2uMv1theeyIr/38zcSAGIKcPNVethyCa 9QY7az8Xeu+V5UI9qNk570LvaIaysd5OHGbf9KzX2dl64x0WoQ1audCrpfmd SVb/CM+lfMiVcvjThRnKsJpvsT1rr+rJbcjBerALPbnTaq5aq8cXW06UC83I UsuJcqEZXO5CT6mXNGPr7cw6a4rV/q0Ls5RgvfPchdlTD622nCqXmuGVVhPV QjO/1nKgs2umruEIEtEACy0nyoVmdC6u2zv1zAcXZjzNcpbHhxnU7KmnP7tw p6RbzfeggA93le6o3cjvwyzqTtqPwj70jma0KM93Xbj7RuEAivlwt+kOnO/C jKo2qpFmvYgPv6uZv+jCHaO7RTN8CCV8uDsTrTZbXegl1eg/amOjSQ== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHmYlmUVxuc5bmlp+76aaYuAkhuCyCICRrIvggoOiKyyiTggIoszDgyC gIgCDjCKAq64hFpGablmGpntWWpZGaiVa+jl/evc3/XNH/d1vvd9tvs855z7 vDOHjp46cErU1NTcVWpq9pF9R/Zd4VjhDaGt0F7Y7XfdhdeEV4V2QkvJtXcK /xXaCEcLI4TvCH2EU7z2OKG3cKLQ0eOdhJOEHh4/XjjV9gThNM9lXk+/6+B9 WddZGCb08t59hS5CV+FnQjehvzDAv+E/0BZeg2w5f7At5w+x5cyhtpzxXZ95 snCGz4TjcFt8Ot3jXbymg32eK0wSJgtn2gf2q23FcYz5wWu03/H8c6GfMEo4 x79Zc5b34MxzvQ4/JpjfcJ85wmeO9Tj+nWeLfxM9d0Qrfux9vu3ZQp0wThgv TGvF5QJzhft0v6v1mtMdkxl+x7yLfR68Znod3GeZH7wusuW8Cz3O2Gyfj39z bNnraWGkMEW4xD7A/T5hi7BVuEm4WlgjXOq5U4UF9gfui8wVn+Z7nLG1wmJh iXCZx+HeYH5wv9wW7gu93wyvqzP3JbZwr/cerG/yO+5mqS35coUtPq00V/Ze ZQvf5cI8+7TCvJl3pd/x3Ghe8LjK6/DjWo8t9r002I/VHq/3ndV7bJfPWiZc 47mNjhN5RC3+wnfLvOvsD3780uuahY3mDccW88a/DZ7D2HrfC+uv9zh+b7YP cLzRFo6bvN8Kx3yNOW61xdcbvAfrt/kdsb3Zdp1wiy3nbzdX9r7TFr7P2I/b hDvMm3m3+/0G77HEPtzldfhxb8lchOP37A9+3O1xON5jy9it5sJd7vBc1o/3 fVPn99tPfCJnqYVRxjS/Q7PRcjQdbUen0esH7DPnoOFHCUeW1DDqF315VthZ Usd/L/ykpKb9UXi4pD7/WvhRSR3/jfDjkjr+B+GnJXX8T8IjJbX7z8JjPof1 aCcauqdkv+lWqv2gh89Gq7vbP3ya4vN6eOy3woMl+wTo6fVwRat7mcdpfu7g dz3NqY95dLbfPP9FeLyknlMD5BX59jvhIe/xnPCo1z1VUq9HlmpfGVSqfWVw qfaeSi/CDijVfjPEvIb5ubfjPMwxQVvPMj+0uqLv6N4k+8C74T4H/URn6Rvo 8yiPoZ0TSlXrJ5vfWK+BE5pd63jw3N98x3iMe+lrXpW+MtZcydFx5j7Bz0P9 jnlPluzT/cx3kjn195lwrdTedj+jq+Q0ukBNrDdXdHRmqfaPSj+Z5TG4otsz zH2mn9FIdGO5edV5PXeB7qK/5Np8z8WH2Z5X6UM8T/H4PPNb4DXwXejnir43 +Ww0dlGp9o8G86r32A9KatMt9qHBYxO91xxzbfT6So9Z7LEmP9f5XWOp9pWl 5orfy3wvi8yVZzSs2TGZ6/PwZ4Xvq9IbVntftLTSE7BrvB9au8r+rPYzd7HS e8FrrdfDZaPPZqzF8ceHdZ7X5JivM49NXsN+13sN593gZ/ZCo283X7TzRp+H Xm411y0eq/TXlaXaPxir9R1NL9Wesc1cbnWMmn3ObaXaS5j3fc+92Vy3mxN3 sdlcK/1ss3nTD+gble9Lagh9RVvRRfQYzUX/0B70FC1FU9Es6pJvebQb7fxV yb4Ft7+X7MfwRafRTfTybyX7N3mBtqH1aCc1+nxJDaBmX/a7Z7xXs/d7qWTu 8D32YkkNRA//VVITXxD+UbLe2Qud7+65//T8vSX/Dtndag3z6RvoLBqLxqO/ aC/9h76Cfn9Bf8ycH+nTV2VnRfaqA2UvivTnYNlFkXvtL8sfQNzp52QnRt5x o+xRkbpfL9s28l73k50Uee/fkl0Yefdfk50d2efaRK5hPj0EbUWbGaNf0uvg RF+kFy3R3I8IT+j3B2UviZx3hOzcSP8+JDs/0s9vyF4aeR8Hyc6J3Iu4/bWk Dh2gd9Mj47rLcZ3n8ac9h3i+4jhwT4f5ri6QPTQy/vh0uP0in7iPrr7rRxwL 9tjjfTraz07Gw6X6d9qjzk/i80XHaJrslyPjOU72s5F5PUb208IPS/r6TfvL fXzddzJadqTwFncse4bwpn4Pkx0kvF4ynp93TInVkVHl8Vgrn56wXy/7Xsht 6op11Bp1ixZTx+gB31v3OWefct5u8zhj1P0DXkPt7fR+e31XxwjvlaxPcp2a 51uQ7z40YIeft/gcvhmpIWqBmjjROdTRZ/OOnt7P3Omf1NmTfkedPOR1N3m/ HfaNOFS+lx703JecN9Ry6M5qhW/r9yGyDZFa8wHZmZF12Fl2rfC2fq+QPT5y fY3s0MhvzatkO0TqxBrZjpH6sVT2lEgN4HuUb1C+P4dHrmftctlTI/N3meyx kfnONy3/j4Bbs959NNLnfWQ/HnnPCyJrnnqfF1lL1NHrPov9i96dGfl9vEH2 Y5Fx/bf3b+d4/a9kTjZxH5G1xPh/zIEcHOE83O3YEv/KN3cb7/Gex1Zrbq/I +14p2zOyVt/1HM561s/8HqDxT0Ty2iTbPTIn3vJdwKFPZMz4fY1s70iN/lJk vRHjT8oOjOS9x3kJ31GRd9He/PY6Vwfr3dmRfxv0lT0vch31d45rcKNs18j6 of6GuAZbZHs4vp+KrG18IT4nO0bnyu4b6etlkXlGjl0cqYnoITnS4n26RJ7H Wetkr4u8126R9/KC7wNe+HJcZN6QM5fLfjiyR1b+1qLXto+MPXE/OjKfyKWv RGoi9cO6xV5LrK50vMjNK5yf6yP9xMdjInOFPCEOVzsWxHyV405evOk8bGfe bZ1TbzumUyM1HT0fG5nf3NtnInVzp/d4w/5Ojuxt9LUZkbVKnU6I7GH0r7rI /kHvuDCyR/6/30fWKnVKTMY7Lp0i65aabRfZIx93Pr/jPDkhsv53ubaIPzlz kt5dG/kN8j4lwqFL "]], Polygon[CompressedData[" 1:eJwl0/tPzmEYx/Hvfc0/oLEccsghOT1PSkRzqPlF5NCoJRs1NcY0ljHGGMtq Wi1jHfhXQs6ZKVEiKoXEmJphfuB97fPDe3vV8z3e9/VNLqssOGpRFGXTJDrM HzPodoiiXvIfk+gOfkUH8TS6hXtoO95G3/B3qsJz6S5+TafxArqP+2kK3kE/ 8DjV4QzqxB/oPE6lh/gdncUp9AC/pQacSV34IzXjbHqBX9IxPJvacR+dxPPo Hn5DV/Fqeo4/0UJ8xnRtf8aLeAk9wgO0BxdTGv5FhbiIfgb9rwTvNf22gvJx Dg3jr/SPdpreNUb78T7Tsb9ps1+bnuLPtBVvoPf4C+X5sfQMj1EiPmBa+zaq wTHqwEOUYHoGv7efs9G0R743fs3Jpnv4tf2em0z38GuP0G68i+JB71iKy0zP mh60d1NpImgPc03v4M/u73wdr6FuPErrcSv9xRmUha+Z1t6PmYUrTXvlMzYT HzHNms/gfHzKNDu+h0vxJRoM2qPF+IJpr3xmkvEJ0177DFbjZfQ46JxF+Jxp tnym1uIm07P6DM3Bx02z6zO0HF82ra1fYxVuNM2ez1A6vmJaO5/hOK6lJ0F7 shLXm2bbZ7YAr6M/QWs4HR8yfWv+Td3EN0x762vWgreY1t7PqcDlprX0b+4/ doeIcQ== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHfclsUR/Hh3pQSNjSICQUAlYEGMCWrsHRFUFCyoKCiIhWoBBSQgYixp tmhMYjTS0dCLIh2DVOkdpCkB/SQEpKozmfl+8Mf+dp977u65u52Zvfet2bpj sw6FoqKijaWKigK+exYVfYngFNjFsH/i5YewpogHwI+A3Yp4MPxo2E2IB8KP hDVDPAh+FKwJ4hdhnyC+Hv59+H/BAvEc+IWwFoiHwI+BXYa4Cmw/4qvgq8EO Ib4Q/nzYPsS3ww+FHwu7jouF/YD4Tvhh8ONg1yCuDvse8V3ww+HHww7CJsAm w+bBZsE+hU2DfQT7GDbdflJBa+ceboCVCo2b6XGMp3g8/VTYv+0532x7ztcK Y++BzUBcCM3B/c89Yr4pXttE2HzPy/kW2HO+ozA2YZ/5OxO97ivQVhV2APGl 8LVhpWGfH/GdMqHzXgpbXtC7RbByobZVsBVuWwz7Ddp7w5YUZPO9lmXOW8n4 uT7L1Z6b738Smm8dbIPfrYG1Rvt6+E1+Xua1/DTUdyNsrdu4lmfR3jfU9lBo rs2w4xAfC/vCuCI2idF2iNvCvkL8DWwb7D+wXX4utrFtO+y/sK/9brH3wX12 xBwdYDsKwjmxTEx3RdwF9i3iHvBPhOY+E74ybA/iS8yZDwp63unvkDvEPjlA vpBD5BL5Qt4M9Jq2wr6EHY328rCVBXGEPBvstRd7zcQ28U7cV3H+iaGq5g3x Uc08IE6qmyvEd5H5NMljiL/JHjPVzxwzzc8l3OAz+TDdY4nr2X5XwodZhcN8 KOHXbD/PNGbm+HuzCoc5MM/v+oTwVzYOc4B5IfYXeK45xuBCj1nk53nO5SKP WeLn0sbyAo8h9pZ6zHI/LzLu+Ezsr/DY8sbgCo8hnld5zBo/c8xaP3/qb89z P2J+nftt8HNf45n9+4WwfkyIIxvdnxjf7DFnIK4QwsaJ8MfDthTEi02ekxpI XaQ+XoD4l7CKIUxtN3bIj+3G2DbjiByoh/YT3JfYL/YYviN+d7rvLj9v8Xyc o4t5UOx+xP3ugvixx/2Jq0PGFLmy1334/L3x1R/tzxmXxOQBj/tZSLuJl5Nd H/ietYB1Y4jHE9vEZE3rH3NdK1RvmPMa1vGZ7ksOsD/rXME1qWeI25VgZ4fm KtHcNNa5zhdc19Y7x6t9HjwXnmF9vD/dHP55SOOY11+EuE1en+6cEzcN4U/y uaw05oi3OiE9JR6ah/SIWtAtpDs8315eL3NwDnxd6+NBn9cE54TnvttrPN65 /sI4I8YawJ9lLSM+KlhLmQdqykSv63SvmWfJ3DAvPL8aPlue9yk+z/QZMhfU L65/kHNOPWLeWJtqOUfMW21zlbXp1BDneH514jAv6pob5/l8Nxpf1Dtiilg+ w/vg+Z0WyhP3Xc973+p+JXut6P1W9jnsNUbONSYrmlPsw+//ymtg34buTx2+ PA6f2ZWhdREvxA3vMaxf5zhHzGEDn/lvQ/XjvYLi50O1hNpKzeX9oZHbWPNu CdUP1ifOy3sS685Fjvf5PK4OnffNodrDesN6dGOoJnG+Rh7L+sSaynrKuW9x /8ahdvYnfusb2/u95wke19hr22X+k/vkNNdPrg3wt/kd1jyuZ4A91zfCe23i /RIj14b4Oshr4jiuvan7815ErqbxUsaYIdaa+3zawz8Vqumsp7eFeDTUOkIN uSMUj3Ubn8eYp/eFuMpxLdzOukvN5RwtQ/E4t7X0PKzRd7ud2sF6SS1pE9L6 Eu1ubWyTK/eGeDDc44d5XCuP5Xxs552WWs37Cu8kD4fqwWbPf795Qby2Nc63 O95h384x+VHOHHkgNJ5re9B9OEf30DNjtrX3WH7zYfenf8Txo27f7P218XqK vW6ueYPH8wx2uJ1rnOE9E/udvEe+Zw47Oabusfb8D/FjofsZ53wyhL3vED8d esd2vn/c/fnMscX2Xd0+xPgYbPxyLmpn59BcJXe/np6fa3gmpL/s28392dbL c1Izuvvcurid/KDG8Z7BO8YKxyvNR3KfHOQdiHch9qXv4z7EIu8M1GEa7xNr 7NlOXeeZdT7inPu6nfvq4fWzbz+3vxT6zUO+Uk+oV/vczpj1bp/5TC5zjdQp 6hU1u6zXeYnbuY/eXj/XXMnf3eU5+C1yfQvstFQtOQ7+2NQcJ8OPCGlMbcSj QjVtMOKBqfMeA78zpMfjEH8X0uOnEX8U0oa3icMUX86HL5PaXy/4SSG9OBFx hdQe3oB/L6T3fRBPMTdeQvxpqBa9hnhJqG58BiuVvm/BV0rlpxv8hFA9fB7x zJB2/gCbG6oDS2Fvprg6D1ZI1ZXx8HPcpx/i6aE6dgXiy1L6eBD2sffYBW2d UhrxiffGfU323v5/l/YeuP6/MS+pvL0NvzzE7aneM/c7y+vmmt+HXxvi0jTm N3WXmeH1cW3zYb9P1dgVsL+mNGIh7E+pWvsu/OoQh3ne242bxxGPC90jHkU8 JnS/YH3/dajGv4P2VSFd4RkXh855sfPBXLwFvyykYf+AvZKq94tgf0jdnd+F vZ66HwwyboiZNcRyijMnwA8P/Z7+M+y2VL1Yj3hvCMsbYUNC97bXYU1StfI1 xNelatOp8JtD97A/ptbE9bwCuyBVK19FfEmqtg7mmlLcfANxs1T9mgy/P3QX +Qb2fYizHVL8IXf+AmubqjVvIr4rVafeQnxfqh4R++WM/yfgt4bubUch/tbn 3BfxtlAtfQ7xjlB9eBnx16F72DOIvwrd28iV0im+HEN8pXKWqf1wL7cjvjVV j2+BvzF1t2gKf32q9hM7C0L4aYT46lSdfwT+wVTduxv+jlQdpn5Qm6hL6+AH pPS9HXybVA1uDX9PqpYTg5+HcHgh+Zq696yE/T1Vt3rA90zV4PLEdeq3VFn4 oalvBfUnpO2Xcq+pe88k+N2hOx0xMiqFk9HMbapmHDJ/yJ0itM02xl9N4ZKY fCeka3Wdb97nqLsvoO3F1F2EOXk2lRfm7Xep3E0M6Q41Z6y5RB6NN8fIL+aw fyqPPIOGPodWKdwQMzyze31u96cwRPxQb6it1Bz+R/hk6q5PvPROYYb6fVJK w4mRp1I4OY+akfrfbkQKH8QG83ytcz0ypPvU/BqcO3WfZv4fMgYuSvGH3KmP +OzUf37tUxwg/hsgPjd1d6ReXpXSzCvhh6XuF9TLx1KaWRl+SKqWEZs3G5/V 4Kum/pskph4wrpjzi533rtSK1N2MGLncOCHvq6e4T+y3MP5rwddM/W/XOKUX 1Ip6zHnqv8+j4Sek7vHXpDSC+rCJOU5hgrWxis/qzpROUaPIj5bmyL6QdhBH dYiR1G+S/uYO6/CZaDsr9Tthj3FMDFMbOqb0gWfW2efGvR4I7Zd1jLWKdYo8 vsFcJhc/NB+J/ZHG/8uwoaHfGjeldJOaOTpU41nfP0hxjPxqntJBauCPA6wX Aw== "]], Polygon[CompressedData[" 1:eJwtlXnQl1MYhn/9zhOVMpWoKClttH0tWkhE67RQTUKadknpEy1Cg+QzMu3G Fq0oY/naS1GMrTK2Uche/MUMgzDtrnvu88c1z/2cc973PedZzttwTOngKcVC oVAGAX+mQuFj6AiXwHpYB62gLVRh0T7sZdAFvoVVjJVi74Rb0RNgOHobLz6C fRF/GvY+OAWnoTocYv4jbDmU5LEia1/C/lL0Hm7Hnxh+1wj89+F1aANVYSe8 Cq2hIvRhbV+4Dr2BZ/7CPod/G3YWHIcTee0+5v/Grg7v/V74J59ZZ20JS+Ao tIOCzgLPsn489meer4OuDWvQ3Ribhr47/O6R+Me0DrrmdwxgbiAMQm9kzSHs YagDnWAQc9eH54bg/wT/5r3ck2O1MuemJMdiBTTNMVkLW3n+AewR3tEf3S8c C31zMHpI+N2bGBuGvhGG4m/Gv0E6PDc0x/Z5aJhj/Bosh4vhKriFtSNgGHoL z/yKPQnt4SD+KOZGhuduYuwC9AJsXbha78VfqHG4Bt7An69zsf5y7Nn4FaE5 +gr4Hl5QjJNrajx6HGwtuuZeUR2Fc6F3TEJPDtfOdvwt2Cn4F2IrwH/JOeiU a3wbzGC+gWoRpqLvCufyPZ5vjV6Mrg+9YC9UC++tg/KCXoStBz201+TG0txh nq+M3gXz8DvDaPSYcGx0hk3ozTAb/zzVJHoHNkEj2IFfNRwb1dTn8AR+C2xN 2A9P4Z+LrQVPow9gx8FYeCa8J+1FYyvCNa1anoxdh/8yzFRsGFsbrkHVnsbW hHtavTxVtRHuIfXOxOTYtGWsd45R+3APqXf6wDL8r/PaCYo7fsdwrvoq/zAL /6J85grhHlbv6s75Mp9JZ1EPtkOXwOmiv7kcfTD5LJPgU+2JsUuxNXKvzMMf nXvmccUKqiWPqbZ+wE5PrrFy7S3cS9Nzb/2Yc6Me+xDmM9ZMtQrvQhl+E2yV 5FxXUs6Lzvnb8DB+Y2xl2KjeDMdaOd8Z7iH1zpzku/W7HGvdsW/pu+FaOBNm o2vAGehR8Cb69+S79ZHk3r0/PKce1tqa4d7VM4p953AtKgddVFvhXJTjz0Rv z72gnJSq13LvqEeaqF6xJ4ruqfq6u7DH8M/XM+o1OI7fHb8uul6497VGc43C va81vdG9YH3Rd7juigaRn03OdYdwLSnnLdBtwr14Cv9BxTrHRjHW3dKMsWuT 75imqoVwb55Uv2ldeK86w0Po3ehKyXfcXPx3cq6U099yjubkNa3Ce9C3eyqm 6LPC/0b14Fe55lXr+gd111lhQHJNXInuGo51P8YWoT/JtXoOPIn/RXIvq8eX 4n+W3Ouq6ebhM+ksOuNj6A+S/426g3vo7OG7S9/8I9eIakM1/6jmcq2qhrup NsJ7UQ4WoPfk2tYdrLutZfisuuO+yT2nXrsj+d+9Mqz1Dx+Ovjn8b9E/4n9C o/dh "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXec1cUVxR+wM0+XtixNwIAQQIzGmEQEUQJKFMGCLWIvYC+IBUwsMTbE EhNNjCbRRLFXjA01KihFBEHARQVclC6ylKx0RHK+3vM+yx9nZ97M/O7cuXPr bMchlx8/rH6hUDhDfxqoXZUKhQuFC4R5ZYXCUmGJMEeoFr4QZgkLhPnCmVrX X/hY/bPVDhBme26Zvz9LY0ekuu+We+5z015suis8N1f4SvhSqMyFwkK1VcJn XrtI+NQt62b7e2hP8/esP0d7DkzB+3R/w9zLotlG+ED919W+IYzWunFq2wpT NT5Uvx8RjhLe1djbwh3qPyc8L3Ryy+8fC301P0b4lfqrhQXCzy0XZIEsZ7rl 3Gdo7vAUYzM8xvnmaWy+0D0FrROFCRr/yPOc4TSN/TrF2P/U7ifs7+/med8G QoXQVKjvtkkKedUIqyxf2m+EonjPwkr1y7Sumb9PQqV/1zONxsIOrWuktqHw e+EGoaWQheb+5iZhclnwv409PP+d+ruk+F0wPWiVa/9dhfIUd/ew72+xsEg4 ULhFmKLv3xOuUv9YYV/hc+EE4TjhW6FWOB455JBNT86ifpmwnnsROgj7CJ8I ewg/FU4XDktxJwvVVvsubk+hFxOFg9Q/QOgh3JZCj94XTlW/Xwpdq6d9CkIf /T7Ya+HhZOGQFHqKTr1jvfqP2leEUSns6J+2pZncs7A3e6Jfws88NkP4ic/B edpjY+5zrleEV4XOwm7+3RoZikY74UPxMErtbcJF8Kn2MO5A/V5qDxG+xna8 H3sNEe4RDhXOE270vcPXtebtJc6Twi44710+M/xB60ecH3maZivOVSwUNqs/ Qvgsxd2ix+hzSb/n+S4e1Ppzc6zlvLMtnyc09qTwB+Sn9kDhGvWvVHurMBgd 0j7d1T/f+38o7OXzTTedDzzH+J1aO0C4xHKd5TV34DOEi1PY1u5CO+ErjS0S HlB/uNrHhd+oP0HteOFO9d9XOzGHXLCRm1PYyaca+0z4i35Xqf1EuM/zrJti PcMG0P/nNf8iZ9PvF9TulmMNv2+xXtLe6m9PSiEbdBI9RnehN8p6jH4/LRqt c/DzlNpncuyP/o/2GvaGnwmmMcp7YTvwjv18rO9mCn9O4a/uTeGzsJE/2U4+ 0vyMHL+n4o+FP6aIF39PETMma2yScDd3pXZaDv2bVBY8cY7R5g99nqf5z4W/ 6vcCtV8I96Mjaufk4IOYxf0Qt/DDzOOLK6yb3GUz6yu/8VMtUvi1QdZ3/P/Y FPbU2esq/N1/hbbCnsI4oY3QNUWsaGW7wGYrTXMPty1MA9+ND8Y3rteZNgjX uo/fxY6x5y7CdmKAUFsWvhkfXfL39U0Lf7vO6/DDa/27vfkt+Xf2xN//NkUc YL9K88raWsdn4vRDKXw0PuofKXwW97XR8YS4Ao/Eh0aWAW1jy4a2ic+dLeNK 7599B00tD2JLuWXX2n3otjONppYdNIgrD1qHuN8t4mO1sEbYZL6If9dp7nHh W/XHqH1MOFp4UngihQ98Rnha6Ojxp4RjLJ9HLSPaMf52jMfxmcP97SDzPNb8 M/asx58wXWi+nMJvdnY71v1W1puWHnvJ+rPVZ+IubzCtcq/t5PXEUvSlofWA 828uC73YaHmgL+jXRs/VWF7cFd+W4nPButU4R5w+xrJGt9DBkh53ML2V1oOx 5reV73WrdRBdY78tzgsYg1bynbFuTgp/Syz7l3BkinxgrvO86dbRgnnlPJyz dL76qe589XyG1d5zs3UAu/retrHdPKzx/lss323+vdg5GLnaeOtftxQy2+z9 J1p3iR3EE+yGeLHOtKFFfMFfEPuWmN486+Ym38Ui30ON72+3nXS/teVZsqWS bbXxuibmra3ljdxLcqUtyb7MerHc/gMZLLVv4NxL3K7x2deYp2Veu873vMH3 8Dvbxre++42eI1fgvqpMn7POL6vL45EpcQRfTnwpxQxiBH6fmEH+QOwkn+ib IrfC5xMHiEXEJGIc8Y6YRjy6V2v6Kd5fniKXJl5NtrzJ72Z674/8u5Sjf2y+ pnuOWEKcIK4Rj4lzxLK/pYglxI5lPlOpLoLGrLK6PJu8mxqFWoV6hLoCeVDb VHvsE6+b6/2pfeb6++WmDY1GOfJ1fE7pnkr3ttT3Qy7/pe9htWW92DRmmY8a 78fcCtOu9t0u856lu2ePF1PUPNhzFXaY6vLnKvepBTalOp9EH1+KbmxMdb6T Pn7yIvG5l+7oixT5+Qa1v8SvoLsp6htybXJ2cmjyevJ78kzWbvf6bV7PODkf ueRg06ndaT10fpGiNtjg/jDyVvGwNEWO1Md6dR15Yo6a4ky17YuRax5DrVSM HPco9Ruo/wI01W+k/pvqH0serf5r6p+tfsdiyOtGy6iled9gXqhLqFV6+JzU DKU6g7aXZfe97etirb0gx7fkxeTH+/l8B/hc1C49PXetv8VOkc0Wy6fWfECH GmBlitr3MuGbFO8A3M2aFLn31SnqW3LzS4WaFPXXv7nPFPUB9Rqy7O12mfvk diuEU4QK8d4sh+8lTlU4Vq3V3JIUtR73gJ1zF5eq3Ucy/Mrn2GE5XOc+5ztR a5pqzTumsdh0ulsW+/ustdaZrdab46xnWy3DWutNaew760+THGPQgY+1po9s vvQ+Cz3HOHk/fgefU+05xheZt96+n2qPH+y53jut62naC03/dGq3YtR+p5Lz F6OGOVn9lupPTuGn8Ff4sgeoQYtx3/gp/BW+CX+KX8XHcSeX+17wa/g3/CH+ Fz+MD3wrx1sJufZj1hX8D3aMbWPLI1PUSeRLh5oefp98hzqJnOelHHULNclz OWoM6ovXctTAo3y/6Dq6Wj9HLY2uks+R182yD0RP8Z/o3T3WvaPc4lvRZd5w WMfbTB+/z5DDnJtC9+CJOhZ7RNd5+0Kfj/Vv+uS15Lf4TOrmN107E4dO9hnJ g8mH8eOHa357jnwReuebzsMaeyiHvMqt/yXdR3/R/+tT6DS8wUOpDr5Za65w LTnC49DsmqNWR/6MXe315J9X+C7uocYShqnfLUedj09enqIexOedpLFK6cl7 3C+6lOPtiVrwJteDvYtR08LD7Wqvshz3VHtQDnvElniHwY52+C45G+9tY3PE 5SvNH3kq31/v8xIriBk3mPeR5r+fvtuWI1+nFr/L9fgOy4p90cNHrTc1lhHy GUgtmIMeb3uv5sgxTrHOc4fUzc+6dn7avHW0Lg9znzu81DQ532XWkbmO0+gb 56ywT8NXNM3hZ7pLbgcUw5/2VNujGO+sLX1Wcjlssr91+5oc7xTsiUyIF9wX b4rzfb+9NH+QsC7FGw81IfUgeR+5KbnfBPe7me4R1mG+G5Lj2xFqDymGDXCf fYtxJ+P9PTXs++538/cDrOettPYU5KbfW3LoInqIjm+1npOvk7eT22CH2Cc2 u5b9c7zxERe4D3zGdPsdfM4Qj1U5P8OvzXSOdrhlxjp81gznUAO9V3PxNjgH 7xvVbsrhC2rx4TnqiQ1q1+eIXcvULs/x7sBZ3/PZyeUnWq5vpIjtyLmr6Hcp xrsjOULnYug+cqf+JxfvprELc9zbW/6ed4BJKfw08lyo+eocuSQ1wQfe89MU ORVvktRV5FjUVm+bPryR296XQ4+rvIb1U02H+uJ+zR+Zw+bwH9gw9ru32kty xJZ91b8sR8yE/js78cnZqWV215ozcrxHTvQc/E9xnzUdtOasHHXbu6YFn200 flqONz/0l3yiu2XE+wg1SyetOSfHucdZVl3cjjM/6Dn5VGfL4G2Pv+451pMT Xe+8aInaxTneA/BH2Cu2Qzypbx9OrkXeRZwlFyMHJYciH0u2X+y4bKd+E+dq Bccm6Aw2XXKWFmqb58jBG+bw9dRt+LaG7pf2YP9yr/uhps6R21NXrXQeTw7f zHTwLXxP3KAuZC2xEJtivrHXsD9+iRoAe25s+g3MPzkMuUwTn6vM/qqB+W7u b8lByEuQz1CN3Z3DD56HzuaIN/DQYqfvWpgf7B3eyBPwK1c7XuBvRubwOZX+ hvW15gl+8K8X+M44O351V8tmF9Oc5jwGn9FYNE/IYWf4kr6epxbgbvrYJvay fUGDeAEdcpmh7pOnwNcg3xV3hty+Vn9Fjreu1WprcryBTbedYbvkisdZ177R /Koc7/jDTY94h68p5SktfB7OXoFd5rAb3pl5M2hv3e9iGznB8oA+b+TInphP HVywHj7qs/3wfxzRPDpH3faK7Ya3g/G2S3xVUWsG5Xh/ekTtjhzxpp7G++d4 AyvHt+Wws+9z5BDEI/wAPqCd7bGrbRo/RC2Iv6JefMFn/z+8nbck "]], Polygon[CompressedData[" 1:eJwtlnf4T2UYxr/J+5y0915mtpDRJDukjCIrRNnKRaUkSYXIKEShIaFCWihC ZlGSVEgiI7s0SOtzX7c/Ptfvfs45v/N9x30/583frkej7nlyudxMyAuFslyu CHybcrmG8G7kcu/Bk+gVPFAbneP+VOppUJw6L/UMdEFoR/0g3I0+CFdxrzLs Qd8DJbiXUc9GF4IL0S25thq9Ciajq8IN6NugP/qBY+/rCIV5vhJ14+QxdkRf wbUN6I2wl7oQtEW/CIPQvaEDujMMRNfg+Tz8barx8bcA9Xp0KahM3Rkaocvp GvoU7s9DF4Fu1KWot6K3QRfq4tSb0T9AQjfg2tvoWRCZ10hro2vHUxfTb6Lf gr/RteB19BQ4qvnAIdZ6MvUe9M9wE/oFrTF6d1i3gR3on6AOehz8o/lBg+R3 HkTvh7roCVAAvT387J3JYxkNPZPHdDLjK0ldGD0XTqVuQj0f/VHy3tehnp7s gTzU9cNzeRNOoL5VnpF34Azq26kXoRfCmdSlNcfkaydRNwr/1hw4LfOaa631 m/kye0Ze0TvHoYdAF/T9sDO8JlqL8fAx+mJohh4Ck9AT4WF0XziE/h0moevD MvQKGIauBr9o7lAPPRFuRB+GV9C72JNqygJ0on4VGofnoLHLI59RfwEj0NXh Q/TC8FiqQs3wnmuv88EI9AIYfOx+X/R1vO9QsgfbUl9OvS7Zo+O198oEuor2 EH0J99eg18Id1GdTL9HcoGl4D7T2i6FVOHPK2ufQgvo86hXoT5OzcyDsFWVo EXopDNVawMvol6Af+tFkLwwOZ0ue+B6dH1qjx+g30JdCi+Q1+Qp9GbREj1KG NT9ohX5OmQ97Tl5bAEs0P2iePIatYQ/Lu8/DGvS68LtqJHv91/DeyfPKxq6w N5SRr9HfhX+rJmxAbw6PtZYyjN4WfndtuDnscXlbPe6WcMaVbfUwZXNfuNco o/XQz8K9yZlqGM6EsvB+sherh7MtT8pb8pS8JI+V59k/tMZ6NzyCLpq5t+2D ftQlMvea/fAY9YBwr1yKPytl7pnqleq516OPy9yr80MZ6rMye6GoMhTeU+2l euSj6NKZe9sBeUxjgybJPVnZPT3z3ijDV1Kfm9lrxeAv6iPhrPTRnoYzq6ze l9ybnoL2yT2qvPyQ2bsloY/WHnqj90JZ9AWZvVkcyinfmb1bAh7S+lEf1dzg P+p/w9mSR1eHM6ksDtf/8+xK6meUZ5iGnhpeuwHUU8IZU7b6a348/1pY74CZ 6FkwEL2c/3kHPTus9Y2coV4Iy/L6mbnoeTAIvZJr88M9QVlX5uXtVeGxyePT 0W+Ex6J3KCvr5ankzHwa7lnqVZqDet1ieDq55ylrX8LI5MxtCntc3h6dnLWN Ya3MfRLOuLKtd3wTzoiyod9cG86YsqV3zkF/ED4LaE69wj1WvVV7WpD16kDd S+9K3puHw2cJ7VEV6p7hb+8RuFr+gcPJPe0G7o8N39M19cKK4b1VT6yAvibz 2UJnguXUZal3Jvfw38J7rL1Vjy+D7sG17eoF8EQ4Y8qWevgw6grUu9Hd4M/w N0LfBmVQvWwLjE3uaeqtzeSX5B47JpxRZVNzLpY5o8rmJqiY+Qyks49+Y2jY 4/J2V3k+c+aUtS1wLXpCODs6A6i3t9aeJvf4izJnQlnQmWlU+BsiP/VIXouR Ya01US+qG86eetLwcE9QL+iuPVcWwlrf1B/DPVC9T3PWWe6u8Fi13jp7ac20 VjqDXZo5k8qixqizw4mZe53OEO3DnpAXlGl9a5pzbWXyN+f8zD1EvUPX9K1r Iw8mf/PyZ+4R6g26prNW1/Ba6cx1Tuaepl6mPdFZsFN47XUm1Fmte3jvdWbT 2e/xcBZ1BvwfuGlvZg== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0ulWTWEcwOGdRFKIlCg5GaLlQnx2CV1AfegqEJWhaCRU5gbJkDFTJWSe yVCGUqkMyfDsdT486/ff7957nXedd0fyCjbmxwRBcIL1hHMcc0gimcWkk0mE Qo4T7+HDOluPhO9okc7Vo5qgxzRRt+q8mOjvJGmTztdtep/HPOIQd7hBivut ukhPhvvQm5qh7bpMT4f70h7N0jO6XM/qK1aYO/QBD9lJH9nWVxJhNau4Zf0c a8079C5drHPdrS95wVLX6Ww37+IZz8m1VqpL9JSmapumaYku1BZdoM3hf6vF eptGnvCUe1xnlvsNOlPrw3PRaxqrB8Oz0gM6Q68G0cPbL3+p4x+d/GEfv9nL NFeYopaf1PCLy/ygmkmq+M4lJqjkGxWMc5Ex9jDCbka5QC/lnKeMHPtbwxbz MF/5zBBf2MwgH3nPAB/YxFve8Zp+3vCJDUH0u/0P7+Fi3Q== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{300, 299, 303, 605, 596, 597, 595, 599, 598, 512, 601, 602, 600, 604, 603, 513, 607, 608, 606, 610, 609, 514, 587, 666, 573, 594, 533, 592, 532, 593, 511, 302, 301, 300}], Line[CompressedData[" 1:eJwl0llTjQEAgOHvtKm0SDPZUp3KUrIrxFApynCacd9NK9I5yk7HviROtmyj Y+uayJbwC1z3f3pmunhm3h/whjtjx6KhIAgmiYgG/rMkJQhG2cwIm7hPPvfY yB1quEset9nATaq5RS43qOIa67lODldZxzBribOYK6zhEpVcJpuLVHCeci6Q xTnCnKGMs2QyRCmnKWGQRcRYzQDFRMngFKs4yUr6SecEK+hjOcdJo5tldFHE BEnesI9CUumhlwjtNPCe/RyhgLdsoY0mPtDIUZbyjq0cppmPHOAh23jAdhK0 8IgdjFHLYw7ylDqesJNnHOI5uxhnNy9o5RX1vGQPr9nLnEc+M8UXvjLNN77z g5/8YobfzPKHv/zjE0kSxBmgI7Tw4TzE7EAe "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl00VsVGEUgNFHgQAJ7g7F3d3dtbhDcWtxdy1WHNoCLQkOBYK3WHEJsIQE trjDEoqdCYuT77935k0y8+aFR0ZHRGUIgiCdmIxBcCAsCI5nCoJCFCYXuTnh tU2kOmfnMi/NP0lz/qHbqOtcj1rUoTZb7WtoTapSnWpssa+sVahAJSqy2T5c y1CS0pQi1r6YFqcIZ8xF9ayW0FdaTs9pWT2v5fW1RukFnaoXNVrf6By9pLM1 RefqW52vqTov9F11gb7TpXpNl+h1XabvdaXe0BV6U1fpJ12jt3W13tG1+jn0 W+p93agPNFa/aWbNSQ4emgM9qPH6VOP0mSboIU3S55qoL3S/HtYwfaLfueC8 X0/ziBTzY/3LH75w1e6rFtQCbGA9SXanuEuM+Z6u01v6mw9cMX/U/JqPNOfl mqgnyeuch8UsYp9dcug6Fpqv6i/SQ+83z2QW05jBdJJpSzta0YbWof8lWUP3 gmxkoRENaEh9mtCY7T6/mTanKS1pwQ77DtqR9nSmEzvtu2o3utCD7uyy76W9 6UkfItht30/705eBDCDOfrAOYRDDGEq8/QgdyXAiGUWC/Rgdy2jGM4499hN1 EhOYwmT2hu6p5/YkyZwIPcMc4yhHOMwhDob9f87/AUwagMI= "]], Line[CompressedData[" 1:eJwl0DtOglEQgNHBn1BoaWPLikxcggvQpeALKMQCUFELxUe0cgMWCGIiiQpi QkFhIYJQeojFlzNzp7vZ9c21jVRErGo5iRgsRAz1pW9NNNOK25k+1ddUd+mI E9Y10b39lx+qmU/n97n2NC91pbpudK2ZW0+35hoTnutCx+p6O+Q7jzhmlW8s 85UV/vCAHe7zhSWOmOIDF7mkjKr2Ip+ZZ5sFVrjHFnfY5C7L3OYjc2xwi0/J /7/9AchMN+U= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1217, 1216, 1364, 1557, 1699, 1599, 1698, 1600, 1700, 1648, 1853, 1649, 1666, 1665, 1559, 1704, 1705, 1703, 1707, 1706, 1560, 1709, 1710, 1708, 1712, 1711, 1561, 1714, 1715, 1713, 1717, 1716, 1562, 1719, 1720, 1718, 1722, 1721, 1563, 1667, 1860, 1668, 1650, 1855, 1687, 1854, 1558, 1593, 1691, 1690, 1702, 1701, 1840, 1510, 1366, 1220, 1219, 1218, 1217}], Line[CompressedData[" 1:eJwl08dyzlEYwOETvhSiixI1X9QgSFkJM3qLGj26C4iFcgf6jG6RGfU6dBG9 RXQiSIhoIToJnv9YPPObOTPnnM37xtesLSpJCCFUUBULoZLCxBAGJIXwiUY+ 8JEG+vOO99Tzljf0o47X1PKKl2Tyghqqec4z4lTxlEc84TEZPOAhd7nPPfpS yR1ucZsK+nCDm1zlOtfozXnKOUsZ5+jFac5wnJOc4BS72cuE5BD2aI5e1Etc 4AqXyXX+Rb/yme98I8/5Jt3MeH4wjlEM5Ce/OMghChjE7+hPDnOE9Yz11jrd wkSamUwTkxjNYP7wl6McY2P0p7sbdCvbmEpwNkUTdIzuYic7mMZ2StnPdPZR yAGyaOneDG2hMzWmQzRJZ2miztZkHaqtdI6m6FxtrcO0jRZpqs7Ttpqt7XW+ ttMF2kGHayddqB11kXbWEdpFF2uaLtGuOlK7a7F206WarjnaU5dpD10ezYHm RvOjK6J50ZXRnGmexnVVNI+6WjM1X7PtRgZppNBsXxqpi/3fn3+mBmqF "]], Line[{1592, 1330, 1334, 1338, 1339, 1340, 1341, 1509, 1647, 1839, 1646, 1837, 1645, 1838, 1663, 1836, 1644, 1834, 1643, 1835, 1662, 1833, 1641, 1831, 1640, 1832, 1661, 1686, 1637, 1827, 1636, 1688, 1657, 1676, 1635, 1656, 1634, 1851, 1850, 1589, 1849, 1655, 1664, 1847, 1848, 1844, 1846, 1845, 1677, 1591, 1829, 1830, 1828, 1638, 1659, 1858, 1658, 1598, 1590, 1852, 1660, 1639, 1642, 1592}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.75 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(0.75 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUFle3uNHYUIwtxliCEpVYQI0a7I4xFmyIvWAFrFGxYlfsvYFdYwe7 gqhY0NeKgg1RRAGV3gSkWrBwvWvNsydrXPfyeZPv+93f/fLXu56155x37zNz ztlnz95jZu/UfVh+IyMjp8JGRv/56zLzYx3TRWGGoVcXGAY291TaXBwX7Nnr gXCJ/BdfL+7sJ9zXdEZpr9P7hWnfv/3TsEu/XJH2MO1h2sO0L3D0TUj3Ybel PUx7mPYw7fsYFx09sc0DaQ/THqY9THsL33Ijm/V+LO1h2sO0h2mfz6n68AIj n0p7mPYw7WHav1hb/kRc80hpD9Mepj1M+16jq/x063q0tIdpD9Mepr3h1x89 j9vESXuY9jDtYb/YfE8HRJ1Uan5fp+76kARlwNhdZsaBAcJJmYOTJmwKFuZ6 t1cNj00b8kKuh5F/uNfMcmBiihK13Wr+iLEhhmfOu4vXddisdDZ06ZY1864w +sPuywY0b9DUV5j2kz0PvTRzi5f2MO1h2sPYCzc8umx/ka9dlWfLvMYVqpQk bO1wJiVpX7LSuezmFufn3v9MfqK5Ycw9y5dKFc+SN7ftuiLXM97oy3jD/D/M 9ejD9Xr9GG+Y8YUZ3zLdYgo9H3ZQuTt8TAm7nxOUWWtGz+43eJXhO7Pk+TV7 eQhXyEm4l5AWJ9f3Xfyh88YVqWIv/8f16JPTaeRdQ/xd6X9bgfduG1c8UBY+ eGlzZ3qi6KOXwzw/MOPH+ML8P+3hn1Zufdx6+hODxbFDvSzGj1fcjgbVXjk0 WDj7btG5wR3uCx+LWLSvhWOAsKwPKk+o+qpjYMMrwiNv3466XvSkMM9P0Zo7 z78cfE7uH8z4WDmvu2Buc0r4ediRs2cmGKR93ZykJ8t63JD2MNdfqxLT3z3g mvDWB+l9x4X7S/vkul+9WHU+UNrDXD9ucW7vRql3hfdsX1zLyChI2l+JKpnY +06wtIe53sR51cGYpQ+Fp3ZdX8O/VIi037jBNL7y81BpD3N9ZI1t+49ufSLc Of8ec9eq4dJ+jLVFbELac2kPc/3psAPuzkeeCa8N7eN6dGuEtN/1YXt633lR 0h7m+nbtw+5Xfh4pnOM9qJRr1Wjt/oXsHd+iaKx2/1Tmes8qUbYFRsYIO64a ttb5SKzy1d51VgGlLnw2n9gvYfY/mP0MZn+C2W9g9g+Y/QBmfYf16zX6XVz9 eHL3M37CrMd6Zr4xnxu3mrRauZgk/bGeYf+e8jOKV2ufoumvzg/aM/9ZP+As k4CEA4uCFK9jgc8SAxJlfrN+oW/qkVd3vPInC9Oe9dFviSF5bufYlqyPMPcT Zn4vjztz5XVuvKw3z/pZO+RL1+yfVm5gWfOn2v50tX3N8Q5TU5VZlxdfndYq pGWJhY9PpI5eLhza68WQSTd3Cz8MW3d33nof4VbORw4MrH1BeH0Px+iglOvC AbsmBLY6e1N4R7jB6USRQOGmC9oNHzXuvvDkNXfGzqwQLFzSqqdjfZdHwtat w35rYxEqHJMw1P7dujBh0+yEUcVbPhd+eqdRvahuEcJve7xr8OLHKOH2+1se 9wvV2MEyv/c9zxhhL5e2dQ47xArfKWRc/2STeKVO9iPH7+88Nlx+Fm5sYpSg ZDRqX8zz90Dh0dnjHBaFXxLmfsGlc3cWHHLFoMD03yiihNfmK4nCixr0sJg8 JUkxuvC6f8EqgZ9dv/vst/Vmd0oWfmnS/3DfjxoXc/v++NCH2v3tFzekVosl L5XkRQtD9pb1k+d98L0Z+Yoc8pD9veH6mQWmfx97kf2a9jL/VZb5r7LMf5Vl /qss819lmf8qy/xXWea/ynr/jvFgfsA83/rx0vt3yJkv+uuZrzD+RubmGyO9 C+yT6xsY53MveuOY8J42fpvG5w9SWuTOdnJpk6T4DrhXq5fjNaX9Un+b8CTt /vRJTt73PPKQ8LCUm2O/PxCnJGyp3KdG5CPl126l3k2fkKC0qlMkrKBvsHLt atvk+KgE5evtruXbd7+tWBh1nN1u+wulzfKfS3R3OaN4dXA8bPJTqmITMuaG 1xPNX40629q1o9Wn+xYwZ53V/VTFOmvqqm4h3p/5P6wfOT6pOV9N3GLQj8eC SSsnmM/RGP+I9VHmw/eRcZ/msoyHTb5v0rpHP1BSHM12vVmfqJhc6OXzfmKQ rMf4O57JvmsmntL8Kf3/s55vHtu4yoTnQSLfsc1Q2LfRQ+Gi1lv2mM4IkfU/ Z4rj/RkWD2V9xZ/GXvxpmP0TZv2G0W+i4/AzBY++lP5Yj21MfJNGRT8x1Lux wtrQa1fLb0ym+1UsobGzpVf5Ya8fCntaZrXwvhUsjD70V7qrxbr33vdF/tgm ccyx54HCEyNau7xc4y+cFHHz5orGt4TZH2Dso/8jVZs4mRpfFblVVW/z+UMu C6feare1pv0J4ajb3Wvbe58SZr0Q/1C9X5tLrjtyq7C3Nn939Y41Dr8k64v4 g6o8O8UhaOr+q8KjCk2M3JYbINeL/6fKd/aYe9f41h3hoqf9UjeuC5Lrxd9T 5fsGdInt8lpbj56NfJg8eG+IXC/+nSqfUcIu+lvjJ8InK0Yl1TgVLteLP6fK ba6MjHxe4Zlw2/ipWdOiI+R68d9U+bqm5516btTWu+OX5kwaOCZarhd/TZW/ K3MltXFlbX8qv3VRxi/ZsUrDqoM6j6weKvPvzbC7GTnZ94WndZtdv+Kqq8LO NcK87M6fFu4//mKZev29hLPaLRjRcOg5mU+yH6jzlf+/53cvOd9P2n6V0tkt rWjhF3I9+wvyJrse/RZ3VltP+5hvdXq5JkWuZ/9Bvnf606SA1qlK+USTnx/Y 7FSqFmp6e7rTS2Vjm407vYo/En3XflvizPBTD4VPf1185VLfW8IeJz76ZhTz 1+RDuq0qPOS62OfnO3jA7yVvClu9MQ0aVD5Q8Xa16z83PUl5tjpjWWOvO+K/ 4f+VnzOwQr7aL2T9XFzc0bH5pCRl+YwNK346Eij+5bng4nti+15Sri9IKv9+ dYqycmW5y+Or+8r5FX9z1SO/dyVDUmS9+TrMvV56/RSlTrTNiSZmV8Qf3dXh TsT33TfI/PNZ0bTJ1AouwvXOd3EqkhWkmKxJv1EuJVGp1f/57qn2N5WmffJ1 PNomWc6DbR8k1kvqdsbAfgqzn8L4LzDtb1a+HfVd7bXSHqY9THvY3Ovlr8/9 nmrnWx+Djfm7KOF7G5a8Cy8dLzx2ctcDbrVeCBfrUa5Xx9YvhYM3v3QxOpou XG1pj5CwM5nCk6b6WPpcyxa+MrziQtfA18Kles8NHRv+VnhI2+h6HRLeCR9v 2H5JtawPwrlVDz/Nzc39LD7E84F9MPbB2AdjH4x9MPbB2AdjH4x9MPbB2Adj H4x9+vgWzyv2wtgLYy+MvTD2wtgLYy+MvTD2wtgLYy+MvTD2wtgL4z+e7Gn2 qEqTNLEfxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2HsH3V5X1m3 2eliP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2G9ap0avglcy xH4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7H/wdbD66cWyhL7 YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/G/qWF6z5M7Jgt9sPY D2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0tJ58oM2DNK7Efxn4Y +2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y++GlQT9uqnH8iZxPJZ6mMv4e /i3jA+O/4c8ynhJfUc+PXxeLzu4XliZ8berwn29XzhCeFpM4uaVjpnCdbmNP eh7IEo6+kJb5Q0q2sF5//BP0ZT9HP/Y72rP+w6yHMOsDzHyBeX5CLq9I+ep8 2GfvQ/CHiXfiz/I+pnimy8oigS+VJtFXW3X5dC7jvI6/TbwUf5n4RdQNuzcd X0bI/YGx38Wjqnu+wrEih5GbLnrR7Yxposhh5L4O3h/HWaWIHEZuuftCcOn9 aSKH5X3SWjOL1BMZIoeR3567aL7/xSyRw8grOCU+3hfwSuQw8tGDutR1efRG 5DDyM128FtlF5YgcRl6kRdlwq9T3IoeR97GYXr90zkeRw8iJJzQK2z7Kc8AR 8fdh4kPjq4TXN2vlLbx6yryxpk32GIifcD3MeYF4CHIYOf8PT9nVY+u5oOfy /D0+lv62TL4YYedVZz0CvksQ/mbMvB7z6iUL93OvZlSpWprwgfVLe7+umyH8 ZkHykaBmWcLtJtl+daz9K+GN9if7LevxRjim23eejoNzhBv+MqtQq9/eCy+o FzGg4tSPwrVrlC5iPDv3s/cv+vMT8uWGVXsbZ0cKs/7CNXb0sn1pEifMegz7 zfr+g3u1JGHWZ9jRLvbggOapwqzXcL7fex82rpUuzPoN2648ly/250xh1nN4 10zTvpd+yRZmfYdTR88/tq3La2HWe7hl/7gCU/u9FWb9h1d26GjXfdg7YfYD OLzxMS/LCR+E2R9g1iP9+DIfGH/WK8YXOeOPnPFFzvgjZ3yRM/7IGV/kjD9y xhc544+c8UXO+CNnfJEz/sgZX+SMP3LGFznjj5zxRc74I2c/Rs58kPftarxI H7/4R9+XsZ9/033MobL/zfuxHKWLz9Q/vB8LOhdm5vfW0wDfbjV/zcPrHobm M5acnNj1scSPfLcVKzxeiRDuP+OBt3mfGOE3fbcNeTouQXhjI4fi6xcnC1dY UXZg9a5pwqNnTPc2sssQPjfqqXH48CzhIv1+GeIz8ZVwX2v3065z3gh7NDIu Pm55jvAr87EOHTa+F27z7f2z1fZ8FGb8iXevTktqdv4P8fq83h8xPs2tSpfb eyxNOOq598OSRdKF0/Zs6F02U+ONnRt9s6BzhrBHifIblzTKFO589lyP7LUa 95+1PfjtzCxhI/OWbiOCNS6ZWLnsmEvZwqddLwc9Kf9KGH8J1q+vjEdg0fyd x//hfQr+FePDesD1zH+Y+Q4zv2HmM8z8hZmvMPMTZj7CzD+Y+QaH/njT5fwf 4pn4h74Flx62nZSkLLh45ZizuRafxF9s88B/asEGWrxW7y/yPkTi96r/KO9n Vf8Rxn+E8R8f1ro5/dnXYZq+fbsOrTki/B9+v6aPF+vjpV/6Pg1/kvuN/wjj L8L4hzD+IIz/B+Pvwfh3MP4cjP8G46/B+Gfyvkq9X+KPqeP99eLwX2ctPiW8 o2e+TYF9txn+3d9nTTRea77B/Lk8b72jS7TKdzhaOOtySLLPFW1+u+7auWVc qDa/680d0a56hja/445teptSQFu/rXa86+pfUlu/F64a7LGvkrZ+P5x19f3c Gtr6/cOYH3vYNdTW74l2Kw5atdLW7ysdX+aW6qyt36Nbmx3O7ZYrnFz8q2Gl D2jM88D5k/u/uGbGyZBhGm9MfmAVbpsu13M+lfV945SsDoe0+d25Xx9nmw0Z cj3nV1nv879t4JuqtTfyCz116UmmXM/5VtZ/p1mT6jTQ+HT9Qdn1TbPles6/ yAeE557YNVXj0TsjG7rbvxL/mftbJOtwYvWdkTIeJiucBnbqpK3fHkGTNoaf jhU+NKpR0fwOcdp+6dXsV7e7icLW1rmnz8xIEo5a81Vah7gU7f6b33Bwck0V buUzzMYoV9vfr8xvX6RML239X+3hvy+sqLb+l554eFDqEI2fbbB8d/pbbT+w H1rilP8YjS0Wrevm+oO2P3jaTirmPk3jWZOz94+to+0XRq1Chros1DjAod9H 66ba/mFTt9kZu7UaV+hxoWe1dtp+ssN059eNtmusf9+vf/+kz0fQ5zs4178z tNDKEKVn7b3Xq9f5/H2c/n0a9ztiru3rUSZavB3/kP0XZv+F2X9h9l+Y/Rdm /4XZf2H2X5j9F8a/0uuH/4F+MPrB6AejH4x+MPrB6AejH4x+MP4w+T/4yzD+ NIz/BOMfwdwfmP7JJ6J/mP5h+ofpH6Z/mP7JT6J/mP5h+ofpH6Z/mP7Jd6J/ mP5h+ofpH6Z/mP7Jn6J/mP5h+ofpH6Y/8q/oD6Y/mP5g+oPpj/wt+oPpD6Y/ mP5g+iP/i/5g+oPpD6Y9+WK0h2kP40/g33OehDlPwpwnJb6otsefpj1Me5j2 MO3xt2kP0x6mPUx7/HHaw7SHaQ/THn+d9jDtYa7Hn8f/xb+U+gI1f1Dy3VVG Tr6Q1Buocom/U/9AfJd6CeK5Kku8Rdc/+UUw+UMw+UEw+T/0jxxGzvXk/8Dk 94h9av4O+uvl5M9hL9fzPMOMn9R/qOMF8zzr6z/w7/Dn8d+4f/hn3D/9eq8f T/36j1zej6iM/rDEy3T9sT7DrKcw6x8s9Urq/YCRsx7BrCcw6wPM/Gf89fnl jCf2wswPxpPxZT4Q76OegPch5NdTv5Hevf31hPEZEo8mHg5Tv0I8m3x94pHU s1Af0snYONasTKbEu8lXRx+Y/iW/V/WP9fFxngeeD/wV5MTzmX/0L/VOvI9R Wd5HUf/E+zSV9e8TkMPIeV/E//E+COb9kj5fH+Z9FMx4wtwvmPGHiffCnPdZ /2DGj+eV9Y7xghlP6mlg6mmIH9A/TP/EE+R8rzJy4gvIYeTEG5DDyIk/IIeR E49ADiMnPoEcRk68AjmsHz/Wc8YPZryoJ4KpJ6I96z/tYeYH9Tys16zvrF8w 84v6HeYf84d6LJh6K5h6K5j9WM/yvlCdn8S/Yd6nMj+Ix9Je8i/V63l/KvVS 6vtX2hO/pb3Ec9Xred8K876W+ct+A+MvMB4bty9yP343Xe4P9xtmf4HZH2D2 B9ZPxov1GKb+DcZ/0b9P09f7Sb6/ynr/C/u4n83jri5ytkiX54v9iueJ+jKe J/Yj1g/qtxh//DGej8i6+Ye3WK6x5K+r/eGP8HzCPJ/Uo7G/4X+wP8Osb9SP ST2n+vwx3vy/1HeqcsZb//7LY2xi5TXFTos/QXyO/VT/PgZGPxj7YPonnsP5 GTnnZ5jzM8z5Geb8DHN+hjk/w5yfYc7PMOdnvb5rpn/wjJwfrByz3Na+8+i4 z85nExeOeWDSMVKxehNRc2jx8M/OJ8RzmZ/xrZuWuTU6Tfl4vFmHoj8Hi//B /bnk8/XJyPmav2558t3KG3MylVqOORdLu8YpFT5UOu99OkSJm98z7vLVcCWl dFCdiR9jlUoD2p46bP7QcGxr68CDuzOUO9W23ardNkG5+P6hh/3v+/50vdiF 0x0iCjknKHO+NRpVsZKPMmmaTbPmcxMUm0tdP1R1zruebGwfL/9q4xOUJcaX V5vsva50OjzteOFeCUq/Ks1u12/v/0+vNwtqrWw35I9X9PUF/1X9mYN1Db8q vWMU+5FLWwaW1eT/03o0Wwf/czeSI2X+bpqZUtG0YIRSdcngHQ2na9dTr8Z8 8nge+vjaslhl0K0Dr7eHPpPzRc7kVavud3+i1D2c/vsy5//39W2sBzzvJ+wP pr03eSL+95+tf2tTq1HFZz5nZD2/+8OsVnY17hlObGpiP6l0htL6zSHX1QGP DQ4eC2/VqZOphL726jlsR6icl0YtCu05bUq87F/4x6xH+nq5UVbf9C0+VNvf 9PVz+SLtwybM1vY7fT3doKYjTNo00Pa/L62vi7B0KbH3RYycj9ivVtad0r57 2bzr774NrmUVfDZCzk/sP/uGW06suubz+jz2m6adB2Q62cb/5fV6edXn8X8L Oua3cVqaoWScuWR5PvfeZ+e1ELuJv7YtmKko3964qHz4tB5uW/2oUkKwMrtx 16SgtZFKllvpZIfYqDzr/ZK+qzfUb8s5w47QnPnTXqQpfV2uZ1vmxCkBN99U /j3Ex7DJ8tK5QRfjlcNGDQItJ/5uKPZxdtKjtfFKumXzBz1n7TcEN6+z+Gy/ JHl+fHxNJru+1J6nd50iNlfvmqCssx1Y55bTAeXg6t7Pbo2NV076P3Ire+qB 8vPMqivH549WKgdXXDb6l0ilXItnRvMcIpT2Ft4pgypp6wH1hePLjvYtM26P YUL7UsdseqQpreyD19f50c/Q2L1t06ku6cqa88ljlmTGyXlvUZeAus+6JIg+ R37bn9i7aIJi4pdx/XniZHme2O/8UyPGG92Oluvjx+Vf8KNVjHCjQcOf5G8d J1z+WZsbYSGxwlvCz6ysYKGdT/H/rK9lnsyuuvxP1ydu2e2+wu1pvJwv6F/q 2fKoP8zNd39HcYd4ZdrF2s16Tj1ucLCKPbiuUbych5Vmca7GRRLkfDhoxyi/ yz5a/Mj8sWfkrSWxyqGe5dfvnxP2p+sR9fWb6M/90NfzFuyetqmczxGx18z2 8RSPbzw+W7+oT+X/6G/5nmKplqPOa9fvLTd3+LmLwjmrK27ZtfKG8PzVG2wL xFzXxvcL6wWxj/+/2Kn6oQll7kp/Vp0PZxT3vSd8ZuH3HheyHwjPWRg6z8lM Y9Yn+qvksKeOeZMQkfd2iO0+ufhj4axfjubWqh4ufO6X0WHhtmHCrIeSb1Sl /lK3kc9F3mFt00fjTSO053vuDovOtaKEZ+bOqlD9UqQw8QP6K3hkfMDYdy9E XtXCNXz9sGThSRVf1R8/IVW417aHVToU1jjAOn+9TrMSJN6w5PJxozJjE5SA O/c9Vx3xVpxKVatv+OR/VZ/bxvKFzyWJN/D/3dtub+ZqnCb9DSl49Jp7S42L fHjm5NYmXbv/ze/GzS2hMfEI+tvV0Mh1bNkMkXtmlaw4r6PGfZNb+42zzRS2 tqjfwq6ixsQv6C+tqmOCtVmWyI1iJk8Y0FvjA2EelToOyBbeXHGjm9WPGhPv oL+WZW62rGb5SuQ2Dx7faGSv8auAopOqj3wtHFc0J7FUA42Jj9Df6vwWG3Ib vxH5jivNTcuM07jduXH+RpPfas9zzsBWKS01Jp5Cf+Hpa16EtskRebLXrsmp 0zVefzCocvjcd8ILEy9vvNlRY+Iv9GcRmfnLadv3Im++u8At/0Uax2y2cvZZ 8UH44ePqKXt7a0y8hv5mBfbZvG7AR5EvXzvSzH2dxvWXbr3tuilXuNrNZb/O tdf4S+uDFzs63247LEHiQQe9p5zYMC1Bmae89O/59Kpi9mLgi+UdExQPF1fD sT5fXk+81P7nbWPitXjRBP9eo1xKJSi7p7zK+TH8rlJwy/rSDUokKO7DzU/l FLynlKhccUDqznillllZ+1MbgpR7P/Tf2v1GvJJht8js2233/+n1ySXWre1y t1ycMqfnmVFWq54o5wPuWDqVjlOsV3iumr37yZfXL/9qbDG2YIzEvy63PVw/ MCRGefP+0czpe54qzbZf+rCkVLQyNXp+yaJ1IxXLpyNiTD2jlTIVRxxaNvLf r/5Z//2DvL5X8FfXS69YZ/o2PsXR0PNjgOWLglo8LvHYg3y3C2coTW0dAqo+ v2HY4z/O6eL2dOXYUPMWtfYGGMbMHLo60F+Lz0VGtHMrPuiusuBgpyyj+dr7 6PKHcjoVLBQt8ax/dj12yaY/rF1ab4vEx/DnNo9fuW2EWZri0rvhz+NOXTZE Vbpi2sMqXfG8NfJ8zZzrEn8kXuca7eF2pmW6+FMdXU79Nurtp/FxjztfqPJl iedlhdwqP6VQvNLc/27umwufzgM/2F0o2yVK6WZvf3552SjlZrb1oBElw5Te v/40pYxvnGIxpk+i+VMvQ8O4W5Uf7ExTWvrttl7n/MjgMG/S6BYJGcqQBaF1 Bo15piyqubL57BaxysA+1QxemTGf/MLT07+zfar81DvYuPbdCCWuo2+j9l7R SmD33+4NCbtvMMm5c2pwf60eD3+c8xDMeRnmvA8TX4LpD/+X/mD60+fDwvQH E9+Cicdx3iUeBxOPg4nHwcTjYOJxMPE4mHgcTDwOJh4Hox/nbfSD0Q9GPxj9 YPSD0Q9GPxj9YPSD0Y/zPvrB6AejH4x+MPrB6AejH4x+MPrB6Md6gH4w+sHo B6MfjH4w+sHoB6MfjH76/BniIegLoy+MvjD6wugLoy+MvjD6wugLoy+MvsRn 0BdGXxh9YfSF0RdGXxh9YfSF0RdGXxh9Wf/RF0ZfGH1h9IXRF0ZfGH1h9IXR F0ZffX4R8Sv0h9EfRn8Y/WH0h9EfRn8Y/WH0h9EfRn99fhPxNeyBsQfGHhh7 YOyBsQfGHhh7YOyBsQfGHhh79N9f1ecb6d9fwFwP8z6D+gHaw7SHaQ/TnnoD 2sO0h2kP0576EdrDtIdpDxOfIX5M/EwfTyZeI/WnKiPnPC/1p+RzUG+qstSX qiz1pCpL/ajKUi+qstSHqiz1oCpLvZZOP85jMOcnmPMPz68+34rzBsz5gecf Jv7CeYH4DvE/5PK9XLU/GH1gxhtmfCWeqI4vzPjCjC/M+MKML8z4wowvzPjq 87uIZ+Pf6+PbvK/gedTXl+MPwvp8C+TcH55PqV/U3W+9v4dc6hVVlvpElaUe UWWpP1RZ6g1VlvpClaWeUKcP/hSM/wLL97NVe/XvR9g/eH706zH3g+cRZrxg xgtmfGDGB2Z8YMYHZnxgxgdmfGDGR/89aN5/8TyxHpOfQD4A+Qecj8hvIN5N /ao+v4z8B/IR9N+rpT/OZ+SH0L8+30yfn0X+G/dL/70pqVdR/498O+4//SHn /7l/2Mf1xF+Qw+hLvgXxcuYLLPXsajxb6tlVRs76hRxGzvMo9fIqI6eeHfuo H4apb4epH4apd4epH4apf4epH4aph4epH4apj4epH4apl4epH4apn4epH4ap p4epH9Y/n3w/Gub70TyvfI+Z8cV/IV+GfE5Y/31lnj/yY3i+mG+szzyvUi+l tiefE/YwBBSwO5Up7amXor3UT6nXGzmvrLa+j8Z2FjZt7rzNkvbUT9Fe6qn4 PnVUCcdC2zUuueX+AqWlVk+FP8P4sZ4yfqyfzG/WF/6f+U9/Ui+qstSLqiz1 oirjj8n3uNV8KfZDxhP/DCafifFlv2T8YP6P/tCHfDbWE5j+6J/7JeuNet6T +Jqab0j//D/6wvTH/ZR8UvV5Y/+BWb95PmHyh/k/7EN/ff/sd9xP2uvr7//O 9/pz+V4nr3Vy3/OHfK9/dX5XXt830Od/5ZW/lVd+lj5/Sp8flVd+kz6fKeJj i1l2/00+0//17zP82e8t5JX/lNf3GPT5UX/19xlYb/Bv9PkNeeVj6fOv9PlW +vyqvPKl8sqH0n8/4v+370Po8+P+q3pxffzmH823+tLvQeSVn6XPv8orv+V/ a34W9fZ/Nh9L/37qX52fpf8eQF75VvrvCXxpfhXnwVOz7riumxiXZ76V/vst /27f9/ir87n+zs/6Oz/r7/ysf5/8rC/Nt/qr86fyzG/6k/lK+nwN4jszlKcr ctxiPqtH+L/+vSD2D/37hn80n+h/2/eAvjS/if1oQhuXpgttP51bq3tXWO8W KvHnvL5X9vf3hv653xv6V+d/6fO99PUU+u9p6fPB5HuDh+3OLcyeZPjSfLD/ AM0x6gs= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl2dw1kUQh/cSCIQEE1IIJCGVFEJoURQSRLDGFhQVpBiRCEiQoBQLdkRE Qz7Ye++9f9dx7L2MvbdhLGOZsYyOjr+dfTK8H55573+3t7ft9pLa5evm92WZ WU4yy9bvEWKmmCjmi3bRKo4RHWKyuFBsF3v6PqGt5jqWiMViuBghhrI+jHXX n5cxt5vIRbZCjBZlokiMZL2Y3wLRI5aLQmRHIVuADte9UCwQQ8QqsVKUiHJR yr79xRzRItaIXjFGVCPntqwTfaJS1IlxokrU8+uyG8R6USNmiSnI7iEaRLPY XbSJ8WKA2B0mjhfdIl9cJKYjPxRfcslDK7FrJ/bZxDsH2SximYPfw5BxG8fi Tw6xcb2TyG0iV3nsySXOI5Er4HswB0XEvpi1UcSylLUyvrfhzwx0FSG7Epli 9pRjX8KeLPZXZKxVEfc+4l3Bt8e4Frlq5AZzU0d8m8lBL/vKyFU9e7aSC6/h vcVU1rKIeTZ2zWTuYDFXzOaMKdhQz97BuWnMzyGnLejy3HlNeh20sW8/i/rw uaPEPPKzj0UNuQ/dxDsPu9oz9HWg08+fhQ1t+OP6+8mD67nE4s4egO7ZxGc6 5zWz5jKNrM9F5jxsdTsPQs5lSsir5/QQcahowne/Y3ux70D8PJzcuM4u0Ymu fuYnWNSi1/FwfD0aXwfY38hZXeztZNxE7OZl5O1IYnYp/ncSrwXE8DR0uj1b 8K2R9YXY0MV5rt/v7AkW/cfXFmOvyy7KmPM+mE/OFjPeLE5k7xliKfJLkfex 97cVxPVY9A5hj989r4PTWfP5M8Uy9C/DPh93My5kT3eGjh70F/Ndgl09yGwi 357rMvLrvXG1OJvxSRa91feexXcJc6uRcXrRUcG4Eh0ns+6/axj771pkevmu hD50eE2vxzaf8x5dI05h7LLn8F3J3KnI1LDX7/5Gi949OLcBndXorbFd71Ax MViFnedb1I3XzL7kw3OxiLx6Ho8jN54Lr5fNxHYF8SrBrnM5ay12u81zOaOB 9Y3IeJ1eYFGfHZzt5/q98T7md2c740Z+tzLvd9x7sveiGYyb8XsTvvvcNmT8 nC3oWYI/+bartryuvXHfYFF314v/kLtavIp9bvNAho0D6PT7vgNbdvA9Abl+ bPtW3GfR294Wb1jcwRv96BRx9Tvtd9t7+LXiH/Lwnbjfohe+KF4irlO0b2IK P58WtSn65hNiXIp+VZfibD/3MVGeIn4Pi7IUvXO0fh+kDqo13mmxdye6fNyi +cYUOdiOrW5njea+sXgrPhAfWvTHmz2fKWrE1+9F5m5RmCJPT3Ge639FTE4R w9fEPRa91v14HBu+Fh9b9D3341Fq4QvxpUVfe1e8Y9GvXyfWHucnOWMGfj9k 4ft4jRtS1Ijn5HLkX/YcpvDxLXEltTRKc5dZvIvPia8s3olbxbAU/eJOMTLF nbhdjEhxJ54R9Snesyr9vmDxthSnWPP5N8UV1M8YzT9r8Xa9Jx6weHeKUuTb c12h8fMWb15rCltbiJHnyN+Uv8U1Fn02WzI3WfRI/xv5FqPfpagzr7F8je+w 6Dt/iT8t/l7+hLh4TPzMsSnO/V38YfG2FWjuLot73pTCH/clV+PbLHqk+12Z wvePxCMWb9Xn4jOLv03+FddZvCded83U3vfiB4t30eNRmiImv4lfLf7Gn6q5 aeJii/sxiTvys/jF4h319assZH4SP1r8r+Dxfp+Ye619Siz/B/Q78Bw= "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPFzq/aeIUTUSLVKq/beO4IiCKJWEKNEKd1EKhFB7L137Ngz ERISfLHF9kHsvef/5JwPv5x73/d53vd5zrhRI1KSJkWISH9E4iEuoR264QES g8g8YlfUYF0dCaxbYSG+oB+aozzflUMi6wZ4govoge5YihvoiFicRwWun07M xQXcQxfMxjlcRQfkoB7XxiOPdVPsRGn29YnxKMp6K3EKUnAS+fhsFDEdx/EH QzAD/7AWwzEMS/S5uX4+MQYnIOyTCTPxGgvQDL1xDD8xEGn44DnRXCThGxah hee4EL+1mTgR4xHBfj1xNEbiB1ZiEAbgKJajvf9GCa7fTpyGqcjPfiNxHMbg N1ZjKAbjKz5r3rxGZ1CMeyYTs3AWJdmnErNxCgXYjyVm4DQKs59AzMQO3EFn r8liPPPeiMZNPPZad9LUBatBuue4SLBnyPIclApW4xx/p+eoyWeziD1RMNgz ZPo71grWI9obek1ksGfO8By+xUfPfRyu4wiaiPVc8WDvnO098st7Yobn/IrX NM1zfghVuaet/4bWMoH9XK/HZbEezhWbGe2dw2K9qT2ks3Of2Fhshg6gMp+1 ITZCDOtYzPFr9qIi+9bEhqjLOi7YrOR5Lb97L2lN7+KW2KxpTVZ4D2nvaE/W 5t7oYL2s//EKL1AHvbALZfi+pdhM70bZYLOtM7zHa6K10Bn9hJd+b1+895xr rvuIzcY7X+uMPMU17w09A27jkdjZou9Yif/a5++qOVknNhM6CzqzG8R6XHtb e3KVWI9rb+sMLxObEa2F1qQK1x703GrN9ov1pPainilRfF8t2Fmh77xG7AzQ 2U/GJrEZ1dnUnt8idqboWaIzs01sBnX2Uj2Xb8TOAs3pX7EzQ88KncH/bcic Pw== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHe4VsURxu8OliTWJCaW2DWGIiD1wgVEIkVUOipFpIqiCEZBuXQ1Yq8g UqQIiooXEJEqRQRRUQkKUewtAQGjRmyYovM+8zvP8sc87+5+5+y8M7v7zp7v pD6DOw6ykpKSf6WSkkqONbxT0+0s7+/v+JljU7f/udVza+j2k1t9tzK3H932 upW6bXBr7HauWxV/t7Lbx95u5FjmtsfbTRwbu32bwo/87fB2Lccz3HZ6u45j bbfd8ulY14JfqWN9ty/Fw7GB27+9Xc2xqtun3q7ueLrbP8Xb8Uy3773dy629 Wwe3rm6t4dkNPM+tO3i+28VgG7ceYFu3S8B2bpe7XeTWxe0l5lS7N346uvUB O7n1BTu79QMvcLsUvNBtI3Ne5tYTP+J9t9sot9FuA/CjOK4kBnEfCIr7VaC4 DwLFfTCoua8GlZu/gOI+wu0K5r6GMcUxhBjE/VW3/m7XuQ2Dr/LxMrlQDOWM ie9wUPNey3x96XclhpH4VByvMfc4tzHEIO5jQXG/ART3G0HxvQmUn7+CQ8jf QHIzGtS8t+DrerdbQcV0G6g47iAG5eZOUHzvAjX3zfgZivVjbe/Bn+JY5Vbh Ns/tfmIQ9/GguE8Axf0BUHNvIh8T3R6kLe4z8XGv28PgfW5TiOF2t6mg4ngI VBzTQMUxHdRemwFq3kn4UW4mg5p3Fn4Ux5P4k59HiEdxPAoqjr/BfY7bY/vE 8TgoP0+A8vM08cjPbPyMJ39TiWMeqDjmg4pjAag4ngKVp4Wg5p2LnynkTOsz lpjGsjaLiUdxbIb7Erel+8SxDFQcy0HFsQKUn2dB5Wm92yK3Z9xeAOVnNfEo jjWg4ngOVBxrQcXxPKg8rQM170r8VNAv8icNb+BWN4XWSl+lL9Jvabk0/cUU Oi4tk3ZLG6XpldFX6WNV9FX6eDr63YY4ZpMv1QjVCtWM2ui3dKwu+i19rI9+ Sx8bUB+kj2XUB+ljY/Rb+liD+iD91RmV/lwGV2mINFF7XOd1eMo63j1lHVd/ Ius1J2VN70EuetIX1170pU3SpSvg3ZvfCk3vk7KO68xL+y6Hm/RF+2o0/Abw W1fmG5Byneidcm3om7KmX8lcw4i70O7BKWv31bx/DX3Ndy19zTWEvuYeSr+o EwNTrg2D4FeOv0K7y+E7gr44jaSv90fRL7R1FOsjvtLWQgu0N15JUef6p1yf ruI56cy4lLX4lpS1WH2dSenAfYzp7E5OWeulm4We3p9yPbgR3tI97ZHinBfn XnhPyvp+R8r6fif5uhkf5cxxW8o1aUzKNWlsylo8k3ikbxOJZxL9Qk8npazR U1KuZzekXAMmwE/zzUhZx6emrN3TiGkWvotaUuRiNr+NZx3UL7R+esr1QPO+ zzr1T1mjdWZU9//OuLhKZ+bCo4J+ocsVKevyvJT1cRlx67199XFFyto9P2Xt XgBX6csiuC+mrzMsLV6SshYvJX7p4cKUtXg58S/it/dS3Fd0Xj9weyOF9omr tHhVylq8OmUtXpOyFqtf3B27EbPeW4kfaf26lPV6bcp6rX5rfEpn302hvxr7 0G1LyncpYZeUa8Z6cr2S3BW1TbyKOqp8f+S2NcV5eyvFvUr7cVuK+4T25Nsp arNy+XqKOrcEXspJY/xvgdtWcide2gvaK/2Z+80U53gT/sYx9zZ8bcbfHOZ+ h/m3EH9ruG5l/hdZmw340G/SQt35/+F4Jrn7mHUwH/+EOavQbpLi2U9pi+Or 8HyFHG3kfT2juvEya6C4K+GrCb+p9qme7Ofj2+Ggvuqg6kl1xvXd9Bnjam/n 3YKz9ovqwCfwF+eafHPp++tJb7dzO9DtF25f+NifU9Qm1VPVonqMn01ftVX1 5CvaGv+C5/Wuvq0+p/2fFN9vpazD4RYc9jLeCG6/tohdY/9lXGO/YfxA5myW 4htNvpunqKe74avvvu8cW6Wocarvqpk/pKjvGtf3mvrn8JvG9U2ULDjJ79cp 7gya/5f4Opu878Tnhz4+1GJPHeC4i3zWoi2en8OtGTEdZjG//B9qwUFr/luL 9TrN8RALnsdb+JbfY1kb5VP5qERO9sK7jLwaudVaHMe7x7C24vB7i+9t7ZMe jkstzpNqqXRfOv2Rj11vcTaOsohNcR1hsRfFU/euEou7Vyk8dK/TPUz3v7rg /1PcBY+24CEOu+gX+fkDcSkHRzD/7yy4iueRFjzOYp8fSXs7zzXF90/4Fy+1 lZMTvf0ri3U82fEgtxbePtXxYLeWcBRXxXIw+0fj37F/WrLXtR86sTdOYp5T LObSMydY+GvOOdAdtAPPnszzOpe6y7Zh/j+y1jqXuvsW2lCZ9dW5qML/GxrX nbjQhqrkSliN9jdwasncpzG/9lg17tY74NCUvVyDfOr+XIe10O/VLetJde7i O3i+Lfv6DNZxJ+12xF6bebReNbm76/da++yBWtyzd/N8e/ZDHb4ZlIMq5KG7 4zMWevoluS00px73fsXeiPu99v7xPKM1LCMnauuufwFjjRg/BE1oxX48Fv7a L5q3BXN/w37QntI+0Fo3pN0CDntod6LdGb714KP/ippy9r+HTyueFafOjOu5 C9kn0jVxF0e9q9/PcXzAQle+Yv81Z5/qO6cT49JK5UzfQaU88zW8i2cbsj/3 0G+R8jvF3q/Pu+LbBM49HVdY1GHdxaUfuie+4WNbLDi97/aB25+0ftIbi/O/ 2e11i7WaoPksasVzjn0savgyx+EWtfRd8bKomUMs9FfaO0znw+KO0MXiOT2z 2OI3jXd1fM+iDotLa/jsYu9q/19noX3SvYmOkyy0Qe+15N2btIYWGt7bcZXF veNBx5kWWveO8mRxp3jacZGF1m9ze9viXIpvOdyaOU620B/N14s5pzpOs9Cz Z91GWNx1dA66cRbe1JjFmV/tNtLiDiRdv9hC27U+l7BGax1HWdyNNN9y5lSO l5Bn/b6GZzaJi8WZmGHBSXwW6gxZnJsF2msWZ2WWzo2F9j7q+LBFfRKvlXDr a7HGWt9+js9b3AdHO46xuCOsd3zBov5vUC4t6sNLWlsL3d+oNbGoB1qTR1gX +Z8OB/mfDYeHLHKtPD/meJ5FHZ3r1taizl3qts6iTl9ksZZaxykWe0L7ocKx vUU9fsKtjUVNne/W0UIbnnLrbFFP5rida1Gb57l1sKjrW7X+FvXhcbfzLerr z7Rp/tc= "]], Polygon[CompressedData[" 1:eJwtlOdviFEUh9971KpV1Kqq1vwTrC8+2FspaqvYo7b4Yu89Y4RKbLUJIYSY Vd3DKIqIiIiIiIgg4jk558OT87vvPON3b0pGZupsiaIoDWJgKIsd8DNEUW1i b5gKpazbEwfDVvjGuiZxAGyCz6yrEdNgJ/xiXYc4EDbDF9bViftgL3Rk/Q/6 otfDB3QV4kzIFvtWU5gBp6EqNIbJcAIE4mAWnBH7dgJoMWehBiTCGlgAZXz/ LcxHXxLLrR1kwjmxWpJgNUzxet/AHPR5iIVk2A8HxHLvBPPQF8V61Qb6wDp4 HyzHaXBSrLYGsBYWQTn338Fi9Ap4Hexaf/RG+BSs5n6wAT6yjiEuhOXwKlhN Opul8DJYzkvQK6ES/RS6ew+09lzo5jVqbTkwHX1K7Nvx0MNz1NzyoCt6N/xB d4Bd6F7wF/0bhqC3ww90LeJ9WAVdWNcjDoIt8DXYTB56T7QX9b1XD1xrz44R j0Pwb2QRD6tBoXMwrzyChu4ZnVWlmDe1/gqxGets28JzsRnpbFqLefuF31OP a+7P/J7WcJR4xP+lOYyH2/oO66Jg3r4MdcU8PpZ4U/+DLoQr6GHao2DPLHPP xvmMRhKvis0mH0ajr2sO6ALYg54k1jvtcQbxLlSgi+EaepTYu/pOntie0b3S xL3zxLV6KFdsD+neaeTeSBebrXpEvTdCzBvqQfXWcDFvqMcOoQ+KeV1ncA8m iuVSArfQ48Rq1x7dQU8Q65Xm3FPMM+oV9dAN9BixWrVnepaUQkuxM0W9Ugwt 3DMlYns0ya/pWZMPzcTOnBwxD8e7J3SvPPZadc8UiJ0RCf6OnkWF0FzsTCoS OzMS/VqZ2J5P9py2QTmkwHfdU8S50Mqvpfozei/W710Q2wv6zH9Fhq8q "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVWHm812Mavf3e59d+S8m92hepyEjdRGOMkYhulFKN0tSEwjQpJkurGWMs pYWQJHEJId1I0qCxkxYlZBa0qZuiLKnbMud8zrmfe/1xep7f9/t+3+V5z3Oe p9t86LW9R2ZycnJ2VcrJSbCb8c+DkZPzLR52hr8ZdhcwDf7WjJ7fB3877F5g BvxtsN8B98L/GnYP0Az+eqA5cCewBc92A7+Bvw/2EPAA/B2w3wO3wO8H/Br4 O3ApcCZwPXA28DvuCyjB2B+AO+APBM4CHgJ24tmPwD/gDwB+CxzOaK2fgaPw uxpQHagJZIHKPDCwH+8PAJWSbCkwBf5k4CD8Lkn7TbBhn3NnvcaRjOai5XwP A9/A/8nvuD7XOCdpjrJ9lM1Xw5bzVfGeuJdc75HPHgeKgKpAV89RG5gHPAJk gL8BvwfOSIot74f3VMfrcZ1j/B3jkZ/0ri5wrp/XAxrYcuz59usDLYGmSXf7 EbAWOBoYBvQAWgB5npvzNvQcef6uvuf+2NxoBFwEXGieNPJY7us4oIm/exKY DxwLdPdzrkUekmvkXF2fj3f7LrAMKAA+BT4BxgJrgIXAROBioJfPtBgoBk4C 2gEnAm19tpq+h5OBE/yOfGZOMDc2wv8MGA90AH7lsVcBfYBOSblD7jMHhsPv 6fMVeCzXZO4wh5hLL8FfApySlF/MOeYe+c9cYc6shF/omLX3OqcmcY95wHzo Zy4wB8gL5hO5yNxifpCTzBXmEHnPfGKekf9/gR2ZlHvkFzlITiZzqZq/J1eP VMgf/p7ssaXOv8OZX+ZMpPKcyfobzl/Z+ztS4ZtIv8wTrl3G0fr+Jtf3VGS/ ivdHHtb2N3X8m3PU9e+avmP+Ps9+rudtap5lPa6GvyE3ydG19vntuqR86Ob1 jknl+dPQe83zXfH3fPv53lOex17gtbkuNY06R73bkJQzhX5H7rTwHlv694X2 mZvkOrl6fBL3yU3yljwl99v6PblHvt4E3Jik931tyW++I6fbe2yBfy+xX5Yr 7fyeOdfJY95LysPeSXlwehI/iz2+rePSzOfon6T95MsQx5L3cVlSzThkHSWH 91tPyeED5h45XGrtJocP2p5tf1CSjpNL671uQ6/HHOHcf0zSQd7d++YE+XBN 0p74+w9JOk5+DU3SR97Z5b4/3s8VSTrFOxqcpNe1vWYDr9vcd9bMMWvvuPEO e/lORyXpVNkd9/ScI4CrU7m+9HFsu3p/3Nsqx77AZxrsPcxKqg3UkRtg/+w7 Z1wvTeVxHeDYjoa9xPfHGA90nBmDQY4n762fY9nFd8b7IqfIrU0ZxW6I75R3 MtL30sPxauHzDbPf3TFt4vNd7T0sT9JWnnuHewjWOMZsuOPEsaM9njG+0jFk rflThWej/Jxnui6JLxf4Xut7nRFenznB81Dz+zpufPYcMAZoAyxN0m7qNjnb 3zH5p+PA8cwX5iP5vwCYALSyHW9/o3+3Bu5KqjesH9OTagnrAfN3bCqvRxzH nJ2UlOP89pmk3/TX2Oc+WRPHea22Hs/a97SfUzdYq+70ecmL21I5L243F5g3 rCvMHfZpN/tuWctmJtUz9lFTk/qTbe4XWcvuTnp30LVtmtcc53NxD8wt5mQ9 n3u64zDTa+xxzZns+TkX/VL3PewPvvaa9zhuryatzbH3J43Z6x7iXu+RY2d4 /3x/v9eiZlM7mL/k3Sx/uwL2X44na/TspPyak6TjrMez/Y6aPjepTrM/ZJ9I n/Wa9Yt9Xi1/N8fj2fewZuR7HN+V+Lu5nv/RpF4wY/tYUq/InHsiSU/5jrWc MaO+FXmtKn5e1Siq8Gyen5HT1P125kqxufNUUn/GPb5pzrX2fvm8sfm10N89 m5Qz5OG1STlJLZzkd20892KvybgucGyf9zxtvI9ij3nB4zn/Sq/Ndd/yN238 /kWP5xyLPP5tf0//DZ+B+38tKaaM2SqfvWOSnrLOdbB9JUmLmPcvewy1jTwj x6gTzP/OHs+aeJq/W+5v+ey9Cs+X2Z/qfXAPE7w/7m2Mz8Zz9fb3Bb7z131f POs7Pi9zaoVjuMhn5nlL3FNSR5f4DNw/NZr9DXsb8uSDJP3+0PFt7Gd8R/6s dow6Ok6rvB+uv9R7WOnvCz03+6UyXvNdI3+32mfK9ziO6ebx3FeR1831Pa5x HPh+ncdP8nPyjnpPrafms0b9NUm3qBNTHNsn8P/dJ0N5/nToN/2FsAtCef4a 7OGk+vYC/OdDOf0/2FqhevU47LyQPt0DOzWkyy/DvhjK5xLyIZT7j8A+FNKb 2VwzpHFVs6ipoX0fBXteKG7/hq0ZqlH7YQ+E7vUQcF+IL/uAniEOXgR7Qqhe 1cCcR4drIOyIUFzfh303pDsfw1YL6e6HsBHqKd6CzYRq/hrYyqGegv3kRnNy PPeTVPdehb8spE1fweaFaks2NC/n/AB2X4g/uaGz8VxVQmtw/uqhPXE/n8HW COlNBmfpG8oR7n2l978R9ucQPz+F/TykQdfzeVKfUjt0Z7yvE2FvCNXpQbCX herYj7Dfh3KxOtbqGuopqP3sw6lXm/AsP6RNTWC/CfVqm2GPDengHtgWoRzY DdsspDU7YUeHepbtsA1DOlUJ9s1QHk90fBlb1kP28az1LRmnUI4UwvYIacyE 0Hl4ltbcf1Lftgr+KaG+cC/wg+N2Cex3ztmL4e9Kilsv+DuT7mUD/A6hGrwW tn2oj+wO2y/U122B3RrS7h3A0lA92gJ/bqiGboI/I1S725H7IZ36inkZ6lua huLIGG4DngrV1tdhTwr1lNuBxaGa+DbsyaEedCt1Ify3APjPheov4xRZxao3 /DqhmjMAdmCo5zuO64S0m3fS2PfSCHZHSC+bw34b0tRRsA1CvWoWc1fKSrt5 P+yrWpkjG8yT8X7Xyj7vlHVznMfzboczxiFdn+Cc4thSPDsY0v1usMNC/fKX wDWhfot5wHvlnVInTg9pRR/YzqHe+j+wp4b62i9gO4V66xLYs0J9M8+RfJZa sF1C/e+5jHfS/4G2wT8z1KMfCXGI/GH8crKK4ZVcM/R/i7thp4T+VjcOdmzo b1Sfm0PkD/Wpf0ijhsLW9RnvgL099Pe8q5h/oR56CPfuWFFfp4c0dlqIT+TS XfAnh/rUweR+6O8ZjMeXjgl1grwn529iLEO1IYX0jlp3K/cb+nvkbdxLqA8u TdI7at0t/A64Ff5+aw11ZgzXDP1dk1rbMaS3D4TygblA7X84pP9zQn97ZY/K mvNsqO6wJswK1YVHQ3nFnHomlCfMkfmhHCD/WX8eC9Ug3tX5ZfeVVMNYv6jN y0P6PJMcS+qJqZHXef/rYNeHesc3eL+hfmhJKA+Zg4tC+cZcY317KVTjXglp AXWAdbI4VCvJu/+ae/x/A2PG/3eSg4fNQ2rVOyG9ot6sDmkONWBiSAdYN6hT 1KhzQnwlV6lVH4X0qtB5yL6COrEipBW7k+ora+uhUD4zl5kfnzhH9iTpPjW/ Xqh2sm7+Hxqjxy8= "]], Polygon[CompressedData[" 1:eJwtlnmwlmMYhz/fc3+KNmuyDYfCTGP8oZmaUpxWS5sTWlTategcQkpD+yLF adMyhEQhtJBGCKVJaMhkiUgo5JxKdYxErt/83j+u81zP977f+z3v/dz3/Zyi fmUlpflcLlcOAU35czbcnXK5gdAC/xVewzdBbfwH6I/fCHn8Q+iFt4I38XXw JH6UB1cxHoIhcBcM4NpNMBwfCbUKuVxj5kX4DrgG/wlexjdCB7wj3IpX8LyW 4WfqWYPhfeYnwRL8Gbgd7w7X4SPgAPzI/EXGBnAG3gUG4O3hTPwo4zDomOyV 2bvrs7VcfwOO5P1OWmsJlCWvuRm+B17SWuAUfAf0xa+Hnfg3cCG+DI7AH9AH hsJ6rr0VjtVi5q3xy+CeLGar8JVwmOuLmPfG/2IshftgNfM14Wta49X417Cc eT24Ah8Mo/C3oSb+HfTDb9Bn+Dvh367i+8F+FGAL8xJYwrVn4SDX5jK/Ev9A n+HvwrzwZ/LHYKHWAuWKPd+ZgO/Cu8MkWKG9hT+5toD5cu0NPJH82W/aO+UU 85UwFf+esQdMgeeYLw2v5RD3d8Ib6h2ymCzDXwhf0zNnKF+VFzAt+d65MDP5 OyfzrtWZt8W3woOKD2M3mKC9Yr4fOuM3K+b4t4y3wTjoynxgOJeVo6/gr4bf TXt2UDnBb2xjbJS8t5fDLcl7PAf/N4vdDFjAfD5U5h3DBnircK6vh/9gA/Oe jC3hEu0NrFXt6bqeB53wO6Eav32aag7/BM7H92mNyTWttdUP77XWeDFeAavx NbAYfxpmJ+fAuXgfuF/vCk+p1sN7rXtqFpyDyr3tii/+GdyBt4GP8a1QG18K x+Ah5l1V+6oZvF24NgdBDfyrcO0op0/HzwrXqmpwPD4WmuMTk3NtMvPJWc5t xK+CDck9Qk1OPUO9QjncPlwjqg31pP1ZTigXtEblRptwrSpHlIvTmU/NcrIc fzzcm6arBlXLqmm8cXIsi+D15JhWZHuivVBPUK/qBfcm96zz8L3hd9celuL/ qOYUJ30H/z28t8rJ4+GeqV6pe7op1uHeUAz9VetZPLVnw/G/4T18THIuXBCu NeXEsXBPUy/TPVX4FqieHMPjWc4qV1VDqpVx4dirZh7FH4Frk2M0BZ8ELZL3 5JdwDil3ViQ/+6NwLug3yvCfw9fGJj9rZrh29cxZysVwrFUjh8M1otpQzL/E Tw33XvW4nvhuxtHJMVauTAz3IuXMA/iYcK03gy/wYcpB/HnYjdcJn3U6M3bh tcK9U2dgk/AZprNLNVY3HGPFVmdOsXpRuDY3Q+CfQm+8NYxQLYV7SdPks/ei cK/RGXxOOAe09zpjdHZsD69NZ0i9cMwUK52Z6p2V4dpVDx0azoniLAbai2nh Xqo92Yyn8NmtNQ3BdzLuyfvMGB2OkWIzXjmBn0juPTrzH1Z+ZrWrnjRS+ZW9 i2p6kHI16xfKwc/xauFeoDNSvetSWJfcwxqFe4h6h/ZgG/NCOFbqIX3D/5Ns yvJZvXhUeG3qyTm+eyLca/VM9f4e4f8FdAYcCO+J9kI1mbg/X3Ct6sz7H3wn MWI= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXecV8UVxTeQd18SMSIiihRpK7DAIiwgHQMSBXFBqtKLVMGOYIvGhoKA vRJJogImYog9do0xzd57jSV2EmNiz/l+7vl95I+zM2/mzbyZO/eee+a3bWcf PvawBlVVVSP1p6HKJlFVtaNwWlFVtUxYKCwSlrs8VDjO5WLhCeE6tz0pbBaO F44VFnj874TrhROEpcJ89x0tzBXmCY8K13rcX4WrhCOE14S/CL/2+CXCYcIx Hjff31vsvseE33jtHwnNhB2FnbWnpsIK1d8QtggnCmcLpwtnCO3U/zOVpwrb q95IOFn17iprhWqhg9BeuEHtHzCv0FjYTm03qvy98J7QVNhB+ETYRWgirBZ2 FXYSbhPWCrsJtwvnCS2EO4TzhZbCSq/rTOFx4bc+hzuFC4RWwiPCJtt1sDBS GCHsLYwS9hf2FAYI/YV9hDHCaGGYy3phiN9l/LvCO8IBwkBhP2Ff4SjhEJ8Z 6+so7OF1dPJza6Gzn7sKewl9sKG/308Y5DXu53Ux90/dTznc7w33eu8SLvTc fxeu8Vr+JlwtHCk8LGy0XzwkbCjSv+4WLhJ2F+4RLhbaCL8Q1glDvb6f2GY9 vT723cMla+wW6RecRV+vC/v1su2wfW/PwXOd2wb5XLFTdZGx1djx1UPlnpF+ 3thxt8Jr/srrxg938Ps/jnzGJ49VeYX98AWVAyJ9sXXkeyd7rY09Z8OyqqqB 8KXqP1DbD4Vfqf6W8KPImKhS//eEL4oc38jxcJrnYf+F+qPM9X2jtq+Fz4vs a+R13qjyZuF11f8k/NO+dI3a7hCaq75J5Ubhefwk0ueG+t13/T5xRSwRRzfp ncGR8TNe5WXCSaqPUzlTONzf395raBW5txPtP1/Yh4ivz4qMsfc9P3abpPdv E9aofi+2UP0SbKW9lsLX2EnldsI3qn+q/n8L/1H9A5Xv82yfesA+cqX3z15e Vf/ASD76TOV/I9fxisrXhI9VXy88KBwk7Ka2iHzGL3byOR6s8kPhXPv7Q/bz OrX9WeUcYavq/xI+Vf1zlf/je9hW5Xv0FTn+D0Xyz6vCP4rc+31CA71zqcoy 0lfwk6ba985l9jVRuSO+EhlT3ziutldbI+Fbzkxl4zLtiD0K/NX7Y1/Y5k3O SNjK91UOiuRKvn2Z0F54TnhbuFX4Uv1fsR/7cOlzv8prPcL7Ic46FBnzNUXy EWfKebbFZ4rkHPgHjiRmiX/4b4if4cHBfl7n8yTex3vcCI+BO+C4CW5j3Ngi eazCazwfWHzHuXDHO67Xu2+43x3jfp4neU2jPNc4z8V3Bnl9Fa6EO8mpU4Sp RebqacJ0fMY+yLfIkTOFWUXmzBl+Xuhx0/z9vp53nsdPti3gu97Fd3xd4W/K Sq4Y6PVNtD3Yw5VeA7493/NN8fvjvTdy8tNFxuyzwlOuE7d3+zzhRHwODr/Y 58qZwvfkBvIC+ZB8QC4gTxL/5A447s0iuY34J4+Su8jD5GB4Gl9Cb+BXzSP9 Fv/Fd/8o1AqXC/cX6WPkbTiFfIh/ET/thF8KLxYZ0+SaF4r0IzTCy94rOgXd g+Yhdp8pMn7RU+R7cj16Co2FvkJDobHQO2gBtM4y2+xZ2+qWImMGrUFMw69r bMuX/A77e817RMdNtx+gv9ATS72+N2wr5oLL4d633M48c32eB3uf1NEHs332 +G8XnxVnVOMz5JncSk5EM3R1P3br5pLY7+n+TrZ5B9u/zm3ENT6ItkDj7OW5 mKOf3+3u91r725W8ztwDPI7nXn6vxmP4VrX7q71WdOcs76+zx9Rts+7KPrpu s+8unhO/uNTv8tzb4+nv4+dar7uv91fndcLtPczD6AVsjOa5wmP6brPW7rZZ z21s3MN9HdzPmOc1z4vkEn+7xmsZVPlmkfxS53XCM/AU/ISGIB6JS3I/8UWc wfvEI3G5t+dlb+ROYpbYhWuId/gSv4PPiH24YLTnhxvq/TzL7+JPU93POqa5 ZPwMz8G85CRsfYntQFy2sn3IDcQ49wL0OLkGfY4ex7eJG/LMatuthcd38hz4 EJqf+wR5HO2ARkE/EGdoemLtLK3hsDJj+lx/F9s3jMxrl9ou2BtfITfDRXAS GgIugpPOKVL7cJdAZ8Az8M1EzfN4ZD9reN/voKO6ROaWjio7Rd5HuNd0tJaj j3eG+Z3O1lHtXW/nOZhrqNtrrDPf9TeYYy+Vfaxfe/t+9HPsFnlfqvb3O3r+ nvZhcjRgHD7M2F6R+rrWYyvz1Lg+wX6A78Dv6H/Gwn1wKPz5EbovUtOgBeBx +A3N+LZ1Izppg+dYZzuwR/LERvczFzwIB6K7d7eexP9mex2r7SfoWO6U3NPQ 2re4byeP3+S5ucOxP96p9j7PsA2xCZxP2dMxTu6AT2lH97Wx9iN3oe/h5F4+ q1M9ts7zdLbN6TtK2BzJ+4+hlSJzyMMqF0fmkIdUHhppx2NU3h75nUdULonM RY/iz5G5CK5HE8D9nE97n9ENPrNTXFa7ztqbef3cwXcRVhVZ7ur66bYLNuH8 9/CcjNvZY5u6zvvk0ubOyyvdt8q+2sH+1tlro75YsXiy6jcXaQvuBuQv8jM6 u6K52RPcSn5uEZlXn1DZV7ipSH36ujUq/ne1fRlugP/gh/30rRsi8yvccb77 56t9VOTZtnAct/QaHvR5oyngC7jiGfsBZ8q6iXVinN9AOEM0APeAg8JanliP 1PJ3Y79IH20ZqQ3YC5wxwbwBJ631Wlg3XE5+PC7ybsl5Et/rbZOKBiLXoIPI x+SR70c+00dug9vI3Z2039mRv9uwvyttY2KO2Bvmc2Renl937BBTxPAar7Gd 5pkWOb6i/9oU3+m/tsYl/v7lenepeW+5ykFlxjHch6YhduapbWSkLuuh+vmR WgqNhb8vt303u63GPolNmBcNx3y9NPaiSE02OvJeir8tUHt9pOZiLuIMrrpT bVt8Rv2xTeSZcnd/NjKPcEd8KTK/NNc8p0f6xf4qx5qveqr9gkiNuKfq50Xq yPaqnxl554RLSvPJrmqfHHlmHW0b1r9e9am2w8v2EWxUp/cvjNSd+Aq+Tx6q VfvaSG3dTfU1kffPzqqvjNSV10XmP3LfLLiozN8auqs8N1JfdlH9nMjfb7qq vjpSu9eoviry9z9ii5L4OkFte5fJhbdG/r6AvyxU2yKhbeT9mbxObLL26WWu H3ssKdMmp0RyAfHEuCMjx8Lx/O4Jz0+PjFVir4nnJN+zrlFlrukAlQ9GrpF9 1Je5lyllcivnPa1MDsWfLo70Cfxhf9YSmZ+wPb6I/V8pUn+QQ1qqbZ8yY6vy 2yv+Q+5Bgy5xTJLH4KE5kfFGrMFhR7uPGLrNcQRnH+M+7l9L/Yz/zizTh2eU yfX4/UJ/k3w4W+1zyuTEBW5j/Fy1HVImx3D+I8v0gdFon8g8TS78xLa8S21H R94hWBe/Q8BBB0T+jkO+7qfynsg7PzqI3zDgSjj1PvMqWonfAC7w3Ft97k9H xhUxBd8/ac5/SuUzkTqJOyj6pd7nip5Dw33oejOXPBOPQzTulkhegl/vdfxu 9bfRFcTfQWXGIDExtsy4OBB7RGoOfHxMmX4+QuUD5saDy8zB5N9KnkMnEN9T y4zxSYyL1CW7qN6sTC2Jb37sNcO1+9oHiNHxZcYpMTexzLibgJ9G6pJx+HKk 7qn8po+f8ZvA8X7Gz07wM/4+1z6P/x5iH55sf8K/0PAL/IwmQd+g8/CFefYH dAnahfzO9xd4DcToCnMXfDy5TE5G33NPQO+j8Wf4Ga0/089o7bPNOdh1jm3L c505sI/XQz7t5jWgnV6OvAtx3u9E/ibF2WLvRbb5VMfDAn8bexGXb0T+fscZ XBXJL/jbc5E+h7/BwXAxPMY3e3vvta6zFn4jQV+ic9d7rawT35lv/+HcFvrs sCnvwAEnqRxWpp4a4TmwzRG8U+b/XtBB7fzdRt43/H8//Femrm9TZo4hv5Df tvidVmXyEVzE78RoQ+7/HdRWXeZvea1V7l7mbyW13hNarrF9me+h8fhfy1k+ tyX2NXQffWjFKZG5ijx1huq7laktmGulxw9R2/Hm63r7X+X3LUo0Bvm/b5l5 jt+eJtm+lXsj59lf/f3K/L/NQJXLIn83H20/Zl401IZIHTXD6+Xsh+r9EyP1 ae8ytfX1nnuRfYW8/XFk7uZecm2krhnj7/MN4oG8AYf/H/nBKPw= "]], Polygon[CompressedData[" 1:eJwtlmeMlkUUhT8XZkZAFhGWFXRXVrH3LlakKkpbpSpVULGwsSRWjDExxsQI WKiK0pFqp0ozxt5AQAUFdEEQG4iAgOBzcubHk3vuzPu+O9/MvWe2YkBV5ZCi QqEwAmrCjalQuAGmhULhc9gZC4W/YAR6F+xDH4R/0c8Hz+2Cf4KfeRl9Fe8f RTxO43oW9jD3HPRnbhAcy9hq8r+JLWFR8DeeQE+H79DVsB19NSzUs7AX3QoW B38z8a225EvR/8ER5O3Il6EPQX3ya8iXow8jPgxXMlY/eo1F6DbEJczv1zfQ reG94N84Dd0C5gevaSv6t+i1DIPX0N3hWfQCuIzvPUheD+rCnXAOY18yNwNa oR9j7Ggo1W8jH5p1SV7bI8QG0Wu8G85j7GvenQWryLvBM+h34C70ucx/hZ4J VeQXkK9Cz4E/yXvCcPQKaMLcTeRj0e/DeO0/Y42ITeFpeBXWMPch3Ie+mPna xM3kQ4jnk69Ez4Y7yM8m/0J7AVPJp0Bj9DwYrb3M75YR2/PstTCR/CPoge6e /K72aALPjIRv0GuhH3N9k/+WftPNWn/yb9We3MOzo/LzFcQ+zPVO3iutsRe6 Z/Lea4+6obvC9OA1V6K7wFT0Z3A9+jqYhP4YOqI7wGT0J9AZ3QmmoD+F5ujO /N230HWIF5FfmLz3c6E1+snova5J7AcnMXY4sYqxcaoR8mbEN8m7EB/K+nF4 NNeIakNn9BJcTl5MLIdDUCO5dl+AMfou+SnEoeSNtN/oMegaxEvIL01e6xuM HYMuS17bONUEcQVsRW+DBsyVJr87Wr9Ba0/utRehFrpucq+NhGL1fnKvjSJ/ ILon1AvFubb6KAbX2O3oM5P3Xp7TBl0OQTUkD0leo9YW8lnfC+uDz1x7Pwd+ CD4D9XpDni/KPb+RuEF7p14I7u0C8/uCe3yZ/CrX6wZ5RPKeai/1zHJ0h3xW G9Vz6LfVv+hNMBE9KboXG8LA5BpW7crj2sMM+F7eqPpCz4R1wXvQFz0rutcm wHz0gui1yFPmoifDt+gfISafgfb+QLB3hWQtD9tE/lP0by2FX6M9S161M9jL tkVredqeaI+WN+8O9tod0V4vz92Mro7+1o5g790Pe4M9eAv6l+g57cl6nQX8 Hrzn8uJ6rK8Q7ckHou8Q3R36xpHJNaNa0TN1kmtKtXQw2NtrJ2t5vO6K3dFr 1Z3xLnpe9FnoDOVV95P/HOxZXWGlzizYM09O3nPtdS1iL519sjfKE3U2bcmb 5DOaHe1hZbnmVGsDVJO55tTL/aO/pZ6+JfmO092mZwbCqcleJ0+5jfyMZO+Q 5/QmP4H8A/R4OBF9fLKOeS3NkrXWNAhOS/YmedKt5Kcne5M8aTD5Wcl3tzxu YfaM8rwnVyTf0bqbdUe1SL4D5P26c56K9gD1vta0VrUH29ElsE61HK11xovQ i3O9av/XoFdH94LeqeD7TaFlsKe8Hn3HV+d+U203hy3BNb4UvST67tCYvLFT tJfJIzvC4GSvV//3IP4RfffqjlOvyUMa556rJL4S3XtaQ0myp8nL5BHt9P9B cm/rTpJ3jo32Rnno/zrFOEA= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0TdOxFAARVETh8wQpqBAwlAjwVaGHbAAZieEgpxz6smxhxZBD0jknOP5 guLoPsmWZX/HrZl0W1YURRkaCTuPQkqpIEUNtcQ00xWuuXlOj6mzY3bsSp3X E+rtBnbtKl3QU6rtFIv2AUccMss+2yRdn9EyndZy3QrvpVNarJNaoptapBNa oOPhG3RDEzoWvktHNV/XNVdHNFuHNUfXwhnokP4wGP0dyqp8M8An/Xyxwgd9 vNHLO8vs0cMS3eHcPKeJTvuFVx555okO7rjnmltuaOeSK8644JwHWv7/2y9Z ZTun "]], Line[{223, 215, 195, 280, 173, 279, 174, 281, 198, 283, 176, 282, 177, 284, 199, 286, 178, 285, 179, 232, 287, 181, 211, 212, 148, 209, 300, 301, 299, 303, 302, 203, 180, 307, 147, 208, 295, 296, 294, 298, 297, 202, 220, 306, 221, 219, 227, 146, 207, 210, 206, 226, 197, 225, 224, 213, 175, 218, 196, 293, 292, 231, 172, 278, 194, 201, 200, 222, 223}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{309, 308, 312, 672, 663, 664, 662, 666, 665, 577, 668, 669, 667, 671, 670, 578, 674, 675, 673, 677, 676, 579, 643, 707, 613, 661, 584, 659, 583, 660, 576, 311, 310, 309}], Line[CompressedData[" 1:eJwl0ts21AEYxuH/uBM30hGtNjYZ7SjZtFNC1NikopZtqWQtF9BBhUIUY5jB TKhUJCqlyJ14LAfP+tZ3/P7Sy6rDVaEgCJ5xIC0IDnlOum8Zo5cTjHKD32zw lOO8oZZf/KSHfEao4QfrPCHMMNdZ4zuPyWOIalb5xiOO8ZoqVlimm1xeUclX vvCQHAa5xmeWeEA2A1TwiY90kUU/V/nAIp0c5SVXWGCeDo7wgks0c5dyDrPF Py7TSgZ/OEULEba5SRuZbHKae9TznzraOchfCrhPIzs0ME4h7zjDBLeY5CxR iojRxDTnmKKYOLeZoYQEpcxyhyRlzHGeFBf2ttHGBFEmiTHFNHESzDDLHElS vGeeBcZ5Th9tRLi411xov79dm6xhLA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0DlOgmEUhtELuhE73YqihSTaG02k0dJdOFCA84iK84yIuBE7f2aktuYk FidPvjdfdccWVmdXUhGRZW0kIklHzI1GTPLtndNlxskwxSJLzDPBDNP8+L+h m6yTZ4vEXtRtCuyyQ8O+rwfsccQhTfuJnnJMiTNa9gu95JwryrTtN3rLNffc 0bE/6hMPvPBM1/6mFV6p8k7PXtNPPviiTt/+5y4DfunTo0uHNi2aNNL/dxwC cqs6MA== "]], Line[CompressedData[" 1:eJwl01VTlVEUBuAPOKigYneiomOgoqLYXVcq6owdOKMzBtjdnVfq37G7u7sV 6RDbZ48Xz7x7ra92nJOak5edGxdFURVFCVGURmfSySCTLKZQRqdYFHVkFMmJ UVSiV8kIdYp6pEyjjArKKXV9qox3PYE4EokxXr8DScbF4TvGf4nUpbI9xbSj hOEUkUoBbSlkGJ9pyUda8IkhzGcRCxnLOAbzgeYs5zd/GMoXWrGCfL7SmjY0 YgA1zK/QfCtooK6pbijrkU0/autlyTHUpbq6wP2TjKt4zBMehud5RG9qua+P XMoS7nInzMOz5YwO36ea+/LVE42/cYWrXOQyl6ikB2eJ43TYW86QzvGwdu84 Kn/JY7IrE8I71XPkXKaxmFd6s+RspjOTGbzUPyyPcIBDHOSF/j65n93sZQ/P 9XfKXWxjB9t5pr9RbmIdG1jPU/3Vcg0rw/6pV8nvcq3swhZ+qDfLn3Kr7MbJ cLbqE+G3JU/J7pwnnnMkcIGeXCfGNRK5QQa3wp5zM5wlt+nFfZK4RzIPyAxr CWcZ5h5+C2HN9A17RUrYG+qEPaU/k6lPDguYRzPe8448mvKWQeG8wjrJpQlv GBj2IOwLy2jM69j///Y/5GKApw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1EVsFWEARtFBinuLu7u7u5VixR2KW2HPAne3BSsIbglWLBDc3d3d3f1M WJzeb/5KXmYmzR83IjY+URAEUb5kiAiC9CRQLVkQXKAD5+nIRUYzLHkQjNFl LKUGl7nCJa5xlZrc4CbXuc0tanGXe9zhAfepzSMe85CnPKEOCWxlC9vZRl32 sYmd7KATaxjPGzrzmi68ZQLZff6umk27aQ6dqI00F7nJSV7y0Ji1vh/NALu7 LiaWFuRzlp8D9kEmM9z1JC2oPbSAFqYQTVjnLIaBdk9dwlTiXU/R9fSiqOs+ WkR7aztasp/NNHPelDi7mPbVQzS3o5lmF9d+ejj8vHYM0+0S2l+PhH/TbsUM u6QO0KO0ttsw0y6lA/UYbe1YZtmldZAeDz+f3Z7ZdhkdrCfC98juyBy7rA7R k+Hzsjsz1y6nQ/VU+LzCZ8Q8u7wO09N0C+8/8+0KOlzP0CO8jyywK2q8ng3v YXjfWGhX0hF6jsp2FUbaG7zvo4gnjk7EUJ+qlKYgi2ju57P4vaxEkpkomjnP qJlIRwbSh8/GeRpNS0pSkyp8B5wn1xQkJRkR4bvmPLEm4a+dSAMa2b/5ww9+ 8ZOGfOM7n/nKFxrwkU+84wPvqc9LXvGMFzynHqtYzTg2sptdrGAlY9nDXqqz PLx33HFfthFJJjJG/P9f8g/Ax4jg "]], Line[{1617, 1408, 1412, 1416, 1417, 1418, 1419, 1560, 1662, 1859, 1661, 1857, 1660, 1858, 1694, 1856, 1659, 1854, 1658, 1855, 1693, 1853, 1656, 1851, 1655, 1852, 1692, 1722, 1652, 1847, 1651, 1725, 1688, 1709, 1650, 1687, 1649, 1898, 1897, 1614, 1896, 1686, 1697, 1892, 1893, 1889, 1891, 1890, 1710, 1616, 1849, 1850, 1848, 1653, 1690, 1903, 1689, 1620, 1615, 1899, 1691, 1654, 1657, 1617}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.7749999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.7749999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHl0T1fX+EPNoqaqmiJqKBVTKKHkErNGaqgYixpiCqGCqrFmlZqlpqIi aCXEPIR8K4gpEjJIIonM8zwaEvLzW+t+9u26Vl/19On7Put9+1fWZ+17TvY+ 95x9ztnfvW+jCQ5DJpc2MjKaW97I6P//Xb7oZWuT1eGGr66tNHzZ1UPp5TUr 2GNYoHDV0l5P1lj7CI8w+bbGyXNHhGk/qm9k+G89vKU9THuY9jDty7g/DRky 2Vfaw7SHaQ/TfnjFStO/7hUo7WHaw7SHaW92ufbUT21DpT1Me5j2MO1LOTS1 KzM1UtrDtIdpD9M+bXOdU4ldY6Q9THuY9jDth003bXf3Rpy0h2kP0x6mvaHn Rx4nbBKlPUx7mPawT0KpyDGxZ5QWDVq32R6SrIyZeaBRxft3hFPzxqXO+TFY mOe3FXY4/s34NHkeRv7C/9NWX6ZkKLF7O66YMjPE8Hj+z1XaTNypWBsGDs5f 5CeM/rDr+jFd23e5LEx7R49fsxptS5L2MO1h2sPYC3dwX3+kwrtblcfrT84q Vz9VuN/ECxmph9IV61o7u3kue/Ca/FRXg71/qyzF1KParT0HvOV5xht9GW+Y /w/zPPrwvF4/xhtmfGHGd/Gm6UtGjvvB8EGj9BUthh0Wrvs82T85O1GpOTi+ XNTkX5QRa15YO2/IFPvon+f97Oyrjv5EY/TZU6Z4m/OGQGVVYJbNvYUpYj/j A9Mfz8PtnHaHWi0MM5gd/3WY2ezZyjb3gJZOXwULF/hVWhbc/4Hw8ejVh7pN uiMs61vlOY0LB9zv4C081dc39kalM8K8/0ot9ntmjbsk4w9jX8f5W640szkr HBXudvHCHIO0b/M8NWz90JvSHub566bxo1zvXBfeHZgzYlbEbWmf3uadtB88 70t7mOdnrSmx7ZTpJ3xw75qPjYwCpL13bLUU23vB0h7meeP5P/wSvy5IeMHn 25vfrh4i7Z13mCQ1jHok7WGej2m+54j77jBh69IHm21tHCHt7fuZJSRnR0l7 mOfPhR91ne/2WHjzo+Fb3XdHS/sDL/bmjPguVtrDPN+nb/iDhlExws9Pj62+ tXGc9v5CXGZ3q5SgvT+Ved7DNHZQmanxwpN+mLx5vluCzDfmM/MLZv7AzB+Y /6dfD+yXMPsfzH4Gsz/B7Dcw+wfMfgDj32H8NesH/fAnMOsHxr/A+GvW7/PP pvoZkvwUi+5zNypeqeK/8W/vuGzpeKf6FeVgnW+rNOmr+RvWG+3xD/gXON/4 TvLR1QHKyeP3H6fc0fwH/sxrY6jjkAs+SqZb4b2TpdOFaY99PmsN6cusEyyx B+Z9wfiLA5/fCXb11fYv48mNbxhqpIj9m+36WGzL1Par3eU3GXVfkqkcbuUc 4/lNoCGkb2b9S6/aB0QbV/tpq4/w9F1n51b0Pyps2XySW1vbMwq8c+Pginnr 7wivW2Xx2M4xWHjx1TXXvukeYll1VeipzOnfCz8aljZ+7q2fhYPCt/h9t/28 cPf5bke/bHlFePvQSXEBGTeE7xyYc7/7xVvC+yIMDqcq3BfusrKP3bRZD4Qd N92buahusHC1jl9MMl/+ULifVfiMXmaPhOOTv5pQtCVc2KQgeVoVyyjhyHud 2sYOjhZ+NrSofdpHscJ9j1ie8Hmk8cRWpU/7e8QLn1zeu/WxiQnC98pVND/T OUm43ihr903pGneKrnpyp3eK8Or2Q80c56UK/3zx/bZLPksXzjIedWzES40r b2tw4qugTOGRieM/7rY2S2mb5hG4Y4aPzP/r9s/7xBYdlv2/w/ZFZRY2SPBi P6e9+AeVxT+oLP5BZfEPKot/UFn8g8riH1QW/6Ay/gHWnx/084/1B3OesHUx mn7Rcrs8b3eiTdTgFgHKzXFhbt8PSlXmP4sb19XpuvKsuaGoYo42nsPT0w9F xfwqPDnj1swGRxMV64lrCxdf0ub/YS/fEc0zg5UL9/wnzspNVswve5TZ5eSr bFtn09LGNU15aHow2db9glI/b2vCug6ZygR/n7G9Pnko54mnbYs3Zw/xUL7N njlyVmCmkllq3+Ri0zOvnW9Y/31cLE+O2HfYoLef842pdVbnhu/fFf1SXWe3 8xjzQDj+5a8BQVWDFLO625//djBFObqjeG5brwDxn5x3HD3nBO4M0Oaj+ONV hv4+B7X+8EewzYIuueOXB4m/47yL/px3YdlfVcafwuhD/3LeTXL9eMDxLOkf f2ljfDl1WlyYoe3NDf0Mww5Yvme80KdeVY3ntzpZZ/KTIGGPVvndTt8NFkY/ +qvxudmW4tMPRB5qk2J/POq+8NfRVsuzNt0WTo2+dWuDxV1h/DeMvfTv1riz g0nFayLv2Ph0sxXjrwpn3u2zu8WEU8KxvkNaTjh9Vpj1K+dB9X3trLbF7W75 09p6OmCbUDHiN1nvcv5T5QUZEwMWHLkmPK3c1zF7Su7I83LeU+X7hy7zq3j3 nnClcz6ZzlsC5Hk536nyQ2MGJgx8ovmHx1OD0se5hMjzcp5T5d9WHR33fsUw 4TP1YlObn42Q5+X8psptvKfGRNV9LNw7aUH+N3HR8ryc11T5li6eDl84a/7n xG9L535pHyfPy/lMlRfV9M60aKj59zq7V+f2KEhQTIxDPqw5IVzWYy/jsRu/ 3hwiHGvT97arubb/Vtu3d1olbz9h68YOUbPLafuxWd/n9uN8Lgub+HpVLn/c U5jzgaw3l/1V1s86K+tjzIOrJ1aP8tbWC/5dXd/o7+/jn16qnba+M6y3ZVcq nybPs18g73zg4YzEi5p/Hd5st0PWpgx5nv0EucvCyNQ7VplKn5Bl5g3X7Vc+ 3NXOY8fsLGV5q6rzxwzQxofzkJwvol9aPP5EGx/ORzDnG/F/6vlN/NvGcdEn EzX7OR/JeJYuZ+/66X1l4rI2P9YvTlVMSj0aGNvMT85vnP92z5+3IFVJE//r uXzF4XpOqYrdtdhHn2Tdl/Oll0eDxT8u+E35yWOEz+VtGUrzMBebsE2X5T7L efPXH/Je7ovKEP9WdtfgDypYZihPm98K9LXzlvPogf73ohsM2SHr+/yGLp0X 1F0uPDprYJlLDQKVnF2hNUs9T1EOrhnYa+PWW8qIRR2nNbROl/tl78CUtqmD LxgYX5jxhJlPMO1vNfSN/aDlZmkP0x6mPdzsZFbPKJ9I7b583mDTrChW2H/H 2qKIGknCMx0/P7rt4zThykNrDxtglSUcvDNruZF7jnCTdUNDwi/kCc9dcL7V +esFwt529VZtvf9EuLrtskczI54Jj+8d17Z/cpHwiQ591zbJfyFc0vhYZElJ yWvxIuYH9sHYB2MfjH0w9sHYB2MfjH0w9sHYB2MfjH0w9unjXcxX7IWxF8Ze GHth7IWxF8ZeGHth7IWxF8ZeGHth7IWxF8Z/nPmi0UPTztliP4z9MPbD2A9j P4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2D/t6qFa25bkiP0w9sPYD2M/jP0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2O/Sevmw8p654r9MPbD2A9jP4z9MPbD 2A9jP4z9MPbD2A9jP4z9MPbD2A9jf+DuY9sXlMsX+2Hsh7Efxn4Y+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2Hsh7Efxv515dsEpQwoEPth7IexH8Z+GPth7IexH8Z+ GPth7IexH8Z+GPth7IexH8Z+S8dTNcdsKhT7YeyHsR/Gfhj7YeyHsR/Gfhj7 YeyHsR/Gfhj7YeyHsR9eF/DRj81PhMl9F3thznucfxkfmPMb513GU+Ip6v30 3cpxBSPDs4WvL7D7xLdhrvA38SmOlpPyhFsPnnnG42i+cNyV7LwPMwqE9fpz PkFf9nP0Y7+jPf4fxh/C+AeY9QIzf7iPy/lXjW9yfuX3mSp5y50q3M9SOsdd 6z7w1T2PeADna+KjnI+Jd8TeHP10QFa0vA8Ye5cfbuxaqnyCyGHkJqvTBl8w SRE5jPzyxNMvZ3XMEDmMvNXPV4JrHMkWOSy/L21uZJZ5KlfkMHLfZatX3PbK FzmMvK5DSuihO4Uih5FPHzuwzfKHT0UOI78w8OTq0bHPRQ4jr9CtVkTHzGKR w8iHmy00r/H8pchh5MQnOoXvneYxxk3O9zD3rdmmEeaNup8W3jjvu5kmnQ8a iMfwPMz9gPgKchg5/x+mfxj/g/7fG35wsSiIkfmFP0LefN+wQVnGiSLHPyH3 WdzghWuTVJHjr5BPGp3wy5iumSLHfyEv9ZPtsYof54gcf4Z8kNOlUgmf5Ikc /4b8wCKTEb/1KBA5/g555vQVx/cMfCJy/B9yy1GJZRaMfCZy/CFyp/4DRg+Z XCRy/CPyCIvjJ1vNeSFy/CXyls1rVKi4pETk3Pf198s/+3sG/vahfcmSY//F 7xeTqs642HJJpnK9x61OQS6Rcn9fVnLs1oGUWOEGj+fOG14qSdjz8qcfvlsn TXjknnf8r7fNEi6+nHCl26EcYWu3/u/V8cgT3r3HfXq+Z4EW3/y++lX/m0+E Lb6dV/tY4DPt95BpYTPXRBUJPxzR7fpXaS+Em/X7uW63JyWvxasDLoU38nnm YYB9u6/YFHTjsIHxJ/7ZbMKUrDm/i8++KZ5Pf1071qjtcjxbODbqdFC1CjnC 2Qd32NbK09jZutN7K61zhQ9XreO8tlOesPXFS0MLNms8avHe4GeL8oWNmllu mxKscbWUhrXsfysQPrf1akBYnUJh9jOY9R29p92j1b+Lj7PfMR4fTi0zfNzv 4jXy+9y6sePKO6UqDSt/3jVqsxZ/YT/sumXeuPqWWrxKvx8ST5b4p7o/yu9D 6v4Isz/Ccn7s8blL+4CwP/17gz4+po//vO3vC+yXjBf7I8x+CLP/wex3MPsb zH4Gs3/B7Fcw+xPMfgSz/8C8H9lv1PF9d01Ez8Vrzgrv+6LUj/dH7DH8X4// rzOtPSg1RfOP7ar1+/pGZLRw3KzAoGPGccL+mVUbLi6IF/5u4J7vJjTR/OfM eyF3zaukCDc0m9i6TlfNn1Z22/9NSpMM4SuVWob7D9X86xc3TtcYtC9b+Ljj s57Xzmr+9tCZ2tNa/pqr+eOJX+7ed1Xzv/kuiwzlzuVr/nno1eyF9zR/bLUt qlbs1ULNX1s17TssTPPPW1f0tL9y76nmv9ut/6ltguavo+cc8d4Z9lzz540y 8irnaP677VeV6zgmFGv+vdrgAUnFmj9fOsjB4fOcl9rzFVYWBJXW/Dvzl/M/ 83VNi9wzIZM1dk4P7BgxKEee534g/tt5Xn7/XzX/Yz1y+HybHbnyPPcH8eel n7W/nKm1N/J5dPa3sDx5nvuF+HeHxXNbt9f4nPnYAnOTAnme+wfyMRElpw4s 0Hj6/pgOrhMKJf7OfOS+yHhsW+aw9L5RjDY/1fOb8NhOLdd+kKDNT/X8Jty1 JKRbW20+cn4TrndzVX5fbT5yfoPLLbm5M/iENh85v8l8tW+Z5eGpzUfObzJf R2/q7XRTm4+c3+DcAXl7pgRq85Hzm8zXLsNzraK0+cj5Dd7cwrOfSZo2Hzm/ yXz9oOH+Z4XafOT89ke/5+p/D9D/vtxsotGGBk7a/qT/PUT/ewbvO3rZoCfT jLX4Juc/xhtmfGHGE2b8YMYLZnxgxgPGfpjzEox+nCfQD0Y/GP1g9IPRD0Y/ GP1g9IPRD+Z8S34F51+Y8zHMeoJZPzDrBaZ/8jXoH6Z/mP5h+ofpH6Z/8j/o H6Z/mP5h+ofpH6Z/8knoH6Z/mP5h+ofpH6Z/8lPoH6Z/mP5h+ofpj/wW+oPp D6Y/mP5g+iM/hv5g+oPpD6Y/mP7Ir6E/mP5g+oNpTz4O7WHaw5x3OL9zP4S5 H8LcDyW+o7bnfE97mPYw7WHac/6nPUx7mPYw7bkf0B6mPUx7mPbcH2gP0x7m ee4XnM85/8r9RM3PknxllZGT/yH53qpc4p3knxNfI1+deJrKEj9RGX3on/9H /ghMfghM/gdMfgf/Dzn/D0bO87Qn3wMmn0PsV/M15P6jk5MfxXjwPPMdZnwl P18dT5j5rs/P57zHfYTzHO+X8xrjyX4F6/cH/fvV7xfIJX6tMvbAEi/TvU/6 o3/8O3IYOf4Zxp/CUn+ivj8YudSXqHIYOf4Kxv/wPmHk+Bvep77+g/fDeMGs R94P74v1R7yQ/POQqxsy3vEMV8jHJr5NPhz5yzlD+t5Inp2rzP/h4uE7HyQr 1C/MOzB096WAKIX8buLh1DOQ3/1ZxYoJjWrmSXvykWH9fOD/Sz0K8XKV5fcB 6lP4fUNlfbwXOYyc/0+8F/vRj/g9zO8B+nxqmN8PYMYDZrxhxg8m3guHHs95 VrNUvDDvDya+gT+FWW/EO5DDEn9W4x8Sj1AZOfEQ5DBy4iPIYeTES5DDyImf IIeRE09BDiMnvoIcRs56xJ/jj2HeP/UhMPUhtMf/0x7meepDYOpDeF/Ub7De 8ff4L5j3Tb0G809f7yC/z6j3U+LXML9fMT9pz/yEWQ/EW+lf8uPU/vg9S+pf 1N/DaE98lvYSr1Wf5/cvmN/PWK/sLzDnB+pBnPeudj3hlyPjqz9P6+s/WN+s V309hf55ya9WWX+eQj/qUbomXls93yxH3if+nfVLvQzjw/mJ+pWYNqXtun2v sb5+gveL/0Uu9WqqnPoR5M3dlz8pCkyS/ZfxIR6H/frfK2D2V5j5CTP/Ye6j 8Ob6ISdXmGr7L/dT5NxPYe6nMPdTmPspzP0U5n4Kcz+FuZ/CZo6RwbfNtP3/ 0Fdr7VqmJMp+Psrq4tDGoxJeu79YpRwsmnouRtnZM9CzboUY2a97Od9d1np9 xGv3A+K9rIcq/qdqjJ2WrXh9NH6Ey6Jg2Y95n4t2j1j49Hfn5Zs7S567OOYp mzzT7dfmJSrWLpbdZrQJVdZ4N3X7+t1Ixb5d2NBttRL/9vqX1vZBvwb1DDIs tu3+rOlPuUpa4/q97Wa/8ncNHRv1+snVkOBlPtM7M1mZNGvj8KNu25XaAw/2 7Pz01T1nVfG5xmP3/OX6mfb7Z9Tf0j5FyXxgN8b16cU31tMkmX9g+aRKilIu dUDXCh/fVEr2vj8voVKKEm9SoenhVVo++B/V27Tzrlu93I/JyqWL4V2+qXlf 8aiSkDdqRLISHRKR3fPkX6/HYf10O7FqxdLzIco1+y6Jmeu1+8Gb6nV2eU2w LLUvXnlqMX9n6CxN/q/W72z86q57156xcp9otXDVy/3topV9Ob2G3tiuPf9H 9T34C6+G+WfL3EhQEtf1aX7bLkruG0bXV1hc2BymFNnkRp5Z/+Z6IPwR68ey ptPIOQvD5Hz7V+uF7IZX80uqflH8uU0DpWDGcH/Doxfeu/zefXU+3jOl8YiM UEPw+cKEu83zlPpfPh40PP+R3G8WVnmwZJ17spwvuE8QH9bXFyH/9qdrJ3/4 5MRr9UbI4zPbRHcruf5a/dHdaJvJ+wO0/e5t65E4v8zov6eG7xCtfuCP6pPY z44XH7cd+fj1eiXuI35lW96duUR7H/9q/RL73fre3Wq4Lc9VvM4Mvlu74/3X 7i+R1842tivOVfxvKF1W3YhRmhgXTitXLk6p7BZpmtQ2Rllbxvhg85/iXquH cvqszzjD9UsGk6Xl3f1SspXgrq3XXByZKu/r/GVjx61Z2vur1HlL2pdRScrD G+MbXOsRpDzwr/7pJ+eTFDfjJxevlwpWrrxw96zVPU4ZYBb87c4p2vhRP2X3 xf05DzYeNHiuznF0G5KtNCm7tenT/j6GXPelN2+88u9T7h1tcD4uSf6f3won B5dX++WpaUfsIsw9lM6rC5wa5Wv3oTfVQxmO+fdvHqTdp6bZuXuffeX/pL5c V9+U/WDDsLz2WryjjUWPmu91SFFerrEt8b59SYlTAsueaJWitFlZz+94fW/F 2ap4wZzWiRKvKDKuv3Z2eIJy0Cmmas/EcOWXGxf8mvz4yo8Uzyn/7dmIv1wP 9Vo9WNJ7X18ZmCzn+7TWzuG9arw6r59vs/3r8acNIS293QPfe3WuO/ZOv8Vm pw0nNq526vvKf7ec17v+hCO7Jb7E/q+vByw7JPvH2ufd5H00GhQ67/B7h19b z9TLoS/9fX+wcmaraZ7a8y61l9ld8hJ+vrHergNON4VXbNwxqEz8DeVfrW9i fPj/Xp81/XVOTT/pr6P1sdwql/2FL6xqcPhKQaDw0lWPvnNopDHrmf7qTzzY ulnnEJHbTkwY4lglVDi/h3vJx00jhC/1mB4eMShcGP8h+TGm5uu2TY0Sef/N XR7ONokW3rVsn5n1x7HCi0oW1236W4ww/ov+bmdGzzbyjRN50qzSKz/qGC/c aaxdWGmrROE6j3vdDA9JEOZ+TH9l3WbfmVmUJvLGZlsjtk9OF55br9B89pxM 4WF7gkz7l9fY+vMnqfGv1u/iA/u/b9zXQ/IL6H9I772fbq2YLc+PL+t+3dVS 4wovHjts65WjzZeufonLqmrMfZz+DnQw2jqzVq7IPfKr1ftugMYj0q18Zg3K E+5nZt5tdD2Nub/TX3bjScn9GuWL3Cjecc4YW42Phh+uP2BMgfDOes7bOn6k Mfd9+rOsecuySatCkdsEht7sNEHjwjuV5jad+kQ4sdLzlOrtNSY+QH8bS5vt KLF4KvJ93l1Nas7SuM+lWbeNHJ9p8//5l90zLDUmnkB/ETmb0h71ei7y9JMH HDMXarz9l4CGEcuKhFelXHW+NUBj4g9yn4jJ63FuULHIu/5c5u7t1RrH7+w4 //yGF8JBoU0zXGw1Jl5Bf4vvD9+5ZcxLkX+/eWoj1y0am6/b7bv1xxLhJrfW 91w2QeO3rX8097Ouvck4ReIhqyouvT04/NU94vatyiO97r51feS53q1LP1qa LPGRk5cjb7zvk6wMG+vYIqH7PWXi6DJLR1slK94hj+4ubv/311PWaWZl6eyQ pJjc9n3UrvtDpeqivabVgxKVMY+rW5c5FKpEPjkc/Y19onL0wurAMtUfvXX9 ZeZ4r2fd7eMlfrOwv6f3heA4xXTDM5+1Z6MVp5EDLsTkxil+XQwXY7f8U6/5 tvWab6r31tdr/7vrOzdsMXmWlDHJ8MXLO63SymrxqdGtbCwGlspVzI8XVj80 xcdQKy/ya7dlOcr4tonjavveMUSe8p7t6qPFq1ifecWpGZbVk+X3BeStnb7y MK4fqNS0sHX7ZVKcxJP+p+tJzacUWW39fpfEr2g/aP+Z7AzTbOXAHqs+7z64 aqibVfhTmw45SleHzWMS+2i//xEvm/PNCNPdXXLk/Gd9089QqzBbGd9i9IpJ o69KPM2hx5W9U8xSlAIrI98jE72VyeOdAsx7JCi3rpbqV8cjUmnVa6JiuiZW ufXA2O2xRazS9PPjH618Ga3cuxtqZeEfp+yd3WPPnC/Cld5mW8Y3fZComPed ci206KTh5SiP/IP7shULe/Pyvs4PDckzdiUrca/2VdNRjhZej5V3Zq1o8dA2 QSn2fVq0oOCB4cO1LuuH2Wr1RMTTGB+Y+yrMfRgmfgRz/9fH57hP0j9M//r6 U32+OEz/MPE5fTwOJh4HE4+DicfBxONg4nEw8TiYeBxMPA5GP+7D6AejH4x+ MPrB6AejH4x+MPrB6AejH/dv9IPRD0Y/GP1g9IPRD0Y/GP1g9IPRD3+CfjD6 wegHox+MfjD6wegHox+Mfvr8FOIT6AujL4y+MPrC6AujL4y+MPrC6AujL4y+ xE/QF0ZfGH1h9IXRF0ZfGH1h9IXRF0ZfGH3ZL9AXRl8YfWH0hdEXRl8YfWH0 hdEXRl99/g7xJvSH0R9Gfxj9YfSH0R9Gfxj9YfSH0R9Gf33+EPEw7IGxB8Ye GHtg7IGxB8YeGHtg7IGxB8YeGHv035fU5/Pof5+AeR7m9wrqBWgP0x6mPUx7 6gtoD9Mepj1Me+otaA/THqY9THyI+JLU16nxIamnU1nq5/ieFPVyKkt9nMpS D6ey1L+pLPVuKkt9m8pSz6ay1C/p8l24v8Hcv2B9/hH3FamfUO8jzGeYeA73 D+JFxB+Ry/c91f5g/j/MeMKMp8T31fGEGU+Y8YQZT5jxhBlPmPGEGU99vhPx Z877+ng0vwcwv/T1r5zvYP15jPcn9XgqS/2dylJvp7LU16ks9XQqS/2cylIv p7LUx+nmD+cJWL7Xq75PfT4m48V8gfF/MPbC2AtjL4y9MPbC2AtjL4y9MPbq vy/L7z+8b/wfv9/zfUt+n+d+Qj2lPn+J73uSv6H/XibtuQ+Rz0B/xOvJDyJ/ Cn2lfkLtj3ws3hf6wPrvy/L/WH/Em3k/MPrwfVX6I97C+4XJb+F7pMwX/CnP w4wX9bTE05HDUk+rxrulnlZl5Pgj5DBy/JPU66qszw+C37P/buh3bdNlPKmP hRkfvkc70rWJUf0m2SKnXhY+un2d7ZM2ucLUy8JPV6a7BXyaL0y9LNxn7qB3 jvctFKZeFnaecGbk+qFPhamXheMHf+AxadxzYepl4Q49FpfrPqNYmHpZeGXb 6DH1FrwUpl5WP984P/N+yS+E2X9YH3x/lvfBeYR8OPIRYfYfmN+z6A/m/8G8 T5j3BfN+YN4HzPjDjDfM+MKMJ8z4wYyfPv+I9U0+D+sV/8R+gz+Q+ii1PfmV 8GHDnTKjz+ZJe+qjaC/1UurzRvOdmmwfrvFoM5te957lS3vqpWgv9VN8Xzi2 6qRyezWutuvBSsVSq5/ivMX7Yb3B7De8T/Yb/CHjxf4D469h9iMY/wTjj2DW M4w/hFn/MPsXzHqH2c9g1jvM/gaz3mH2O5j1DrP/wax3mP0QZr3D7I8w6x1m v9R/f5n9kfnAfsb7lXpilaWeWGWpJ1aZ8zv7EedXxh/m/ZCfib/h/Mr7hHnf 5E/i3/EfzA+Y+aP/PjX5eZz/WG/cL2Dy81h/nA9ZXzD2M9/JB6V/xot8R/Z3 mP75f6xvxo94Gv6O/Qn78Kf4W5j2xLtorx9v4g3orx9f7sesX8YT+xgPxg/G HvwP+rBfMB9g5gP7C8z5i//HeDN++v65H8H4H+ynP/33IP7Jr/zvza/0ntCx yOF3+ZV/dz7l/7bvcejzN9/0fY63ze/U52e+Kf/yTfmVb8qP1Oc/vil/UZ+f OPVyuNva/yI/8f5TrzYxl0KViENhQ24+1uID8r2Iv/j9kTflG77p+yT6fMR/ 9/dK8Hecz/T5U2/Kf9TnO+rzG/X5jPr8RH3+oT5f84++P6CPX/7ZfMK3/f7J m/IP9fmGb8ov+7vyEfn+wtvmH+p/P9XnI+q/1/Bn8w/53gPn+Z5Hp3l3PJz4 t+cj6r+v83/t+zF/NX/y353v+E/+4j/5i//kL/6Tv/hH+Ytvykd82/zCt83/ e9t8Pn3+EPHJovJF71uFxr9Wv/LP96z+s75nxX6p/73vz+b3/ad9r+qv5huy n5Z9aVNjxZIk5d17dZ6fKa/9HqX//t8/38P67/0e1n9avqU+v1Jf/6T/Ppw+ /1K+j3ls9KVVBXMN+vzL/wdoywQA "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlldwlkUUhndDJ4QUEhJIIMSQkISWxEZTFFERrKCIIIiAgICAigVRBAUU gdzYe++939sVFcvY9cJhLGOZsYyOjo76vnOejLl45ttv9+z5zr5nz/n/ukVr Zq4uSCl1zyl10/NoMV6MFMeKCWKUOEFMFGPEVLFdNIqeQluTfZwsZoveoq/o wXov1u2/sMtcf9EH28GiQgwUZaKI9QE8i8VpYoEowa4U22J82PcsMdPnEZWs 28disUiUi81ik5gkqvFl26FiELGsFCtEjdhHDGG9nmetWCNWi2H4GovtfqJB NIl9RbsYLjrEFjFNzBNzRT+xTeyPfQ/O0oc8jEK7CWjfDb17YluAlj05dy9s lomlooq1QvyOJreZXBWypw86F2FXzHtnDsrQfgBrpehWwVol7+vEQZy5iLVS tK9kfwUaW+sjxOHoNJB8dK4NRfcV6F3NuzWuw64Wu87ceO0c0UY+lrKvklzV s+dcctZKvK2sTSMPzt9kctmEXiPRu4C8WOfjxAx07UaOupPvdnxeQY7HEd9Y 4q/nu57bmuJuHMB6GzZz0dt5OiTFPWkRV6WoQdfiTnw3EeN4YpyCro7lfHEe 7459Qpd4JxLzNmJtIa5JxNaORvV8fzLfsjYHo9UUcmn/hxGr/VzKmmM4Cn0b +OahfHcn883ixBQ17HnfS99p95MjxXQxAq1ndDnrMV3OdHyXHMzkjNPZP5W5 WfjsIKZG4nXcB4oLiMM+dqC197te3OP6kRPnpoTczGa+N2PHPgd7z60Xp2Lj uVMYO5aTsPEddZ1U4Xse/i8SCxm7flyH5bCIOdvOx6YEm86eeTq2C3kvIZZ5 xLCAeducIS4mBvtezPhMcUmKfrhBLMF+MXuqYCnnqGZcw3MZ42X4quE7y9nn 9xXsW46d52uZH5aift1zfZdWpejRNcS1irHnzsK+c4991DP23o1iLetr8TmM 76xk7D2DiWcJ5/R53atcS77nvr++K93J4YXk0bldj7bzyV8JediAn7NT1MZw 4t2Y/v8d2ZSiB6zBzjbuV5tZv1xclqIm1/HusWvIPcR1tJ1xI8+tzLt+Xect nME9wfU9jvkmfNl/K2eaw7m24Nc96nHxKXrcLn5HA9dTR5dYOojBNb6L7+zi vRm7nXz3VvE6urreXHdTee7gux+LVxl/KN7DpkIN+ku+P1LjETnO/KQYmKNX jdbzbc7epnG7uFLjoXruTVH7d4o/yeGzoibH/M3i8xT9p1Vzo3L0yr3Y2eZF 8UqKnvi0GJRD77vF39yFR0Vhjrw+bF1z5H+4nu+j50fiEzR4nvjs/0ZRn6N/ +hzXcpYhmns5RQ+r1PgFYnDszxDbc+I19H9XvJOi3w2WzUsperr1uCWFJta4 JYfOb4jHUvTxe8W/Ke7y/aIgR/0/KHrkqG3r/UQKzf3NsTm+az2eSqHJm+Jq 9Nwt9jDew5rHb4lruCdfoIs1sfZj0N815l7pHvyT+DnFb8C34psU/2d7yfah FD2iVOOSHHXzm7gtRa/fzj3zeYu13j9HzTXliKOZ/O8mtiLN98vxX6Ovno+k 6CW/il9S/F92rsrJ13WiNkdt+85+luLe/iHuSFFj14u6HLX3o/ghxX/wr8TX KX7zvhPfp/jNu0GU5ajhv8RdKfq6734z99810ZCjLvwf/4EU/fUfcU+K34Sb RGOOOvU9qs5xlzz3QYp535GqHPck63lfir74H6zI6zg= "]], Polygon[CompressedData[" 1:eJwt1GdsjlEUwPFza+8dQoQKRYsWtRNbxd5BELWCGLWKVqtGRBMR1N577xF7 SyR8IkaMGBF7773+J+d8+OXc9977vM997jn3Rg5M6jo6QkR6ITs+Yy16oBty BpGdxFEYgYtYjkpojLPIy5wxxKl4jfloiI46j7EVxCi0wSkE+gYTp+ABCvF7 PDEOC3EPrVEZp3VdjA8jpuEk/iIRqbiGYoxPJLbCOVxGc2TgDHIxPpKYjjy0 dxPHIglHsRrN0AjH8d33Y7LoYkW2EoZgEK5jr78rAXu8L8HfeReP0BYt8Q3r 0Rs98RMb0Q998Azz0ADtcQK/0BcpWIR41jCXWBWLcRUtEI2PWOBr74Jj+ILu mIQbuOlrifK9WkZMFtuz26hN3xzf82y0txOHYyiu4Ajq+TvvowBzxhFj/dlb xLpi/6HfvtJzp3sQGSzHmtsZ+Oc1oLkfgB/+zSm+RwWZXx7TxWqiAu2l/uxM RASriTTPSb5gOc/wnOqzS4jTxP6jXLA1x3rfAZSmrwmxDnIHq2GtXa3xQyhL X1P/5t9iNZfqOdO9rsl4pu95DdrVg+VitufqMLG+WM6i+R2DWb5HsbTjgs3V OedRMVg96Xn6KlaDWnt6Bi95TjWXWqOFg+2J7sUErQnaVYLVhr4jR7CaT/cc /sFm3+v+eIznXmsxuIML/m5dwwaxGtXa1Brc5P+hzybiFV6gGjqI1e5Lb2sN v8UTtEMnPPV3xnif3g3v0VnsjviAd7qP3rcFeub0rOkdsU2sJrUW9Q7YIXYn 6V2kZ3qd2BnTs6Vndh9KBvueeKwSO+Oaq0xf+xuxu0m/oQxzD3otaM4fokiw va2FosH6tJ3sa/0kdtZ0zfkZz9KaEDsTu8TuGL1b9E5cI3an6l2qZ7IUY/t9 bVqDxfldItjdqHfqf1Floxc= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGcUVcUVhZkBUaMoRFTiSjO9dxCNgkiQBOkCiigoRbpIkY5SpUtRREBA QKpIkSZoRI2aojExEVNMNJgogrHElpCYxPOt+d56/Dhrz5u5c+4+Z87smfvO 7jmk43W5Ro0aB1KNGjUD3wr8aHS8GfjfsEZh54XVir6aYQej/XTY78JGhf00 7IKwS8L+H3ZO2PfD/h12NKxxWO2Yd1zYX/VdT/8fCTwx7FC0Twg8PuzlaJ8c eFLY4WjXDTw17PVonxJYJ+y1aNcPPC3sH9E+I/D0sHei3SDwzLD3ov3zsFZh XcOusA3PbmLrsCvFNmFXiW3DzgofHwv7Z7S729cu7Oqw9mEdwnqGdQy7NOwa +/jdy75OYT2cx5ze9nUO6yN2CZsZNjpsTNi19l0W1j/scvkPOCaOgSJxDBKJ Y7BIHNeJcP9lWF/Xa4h98BpqPHAfbjxwv95xxkbYB/eR8objDfb1kXc/+R40 t9TEWPvgPk6E+3gR7hNEuN8owv0mEb6T5ATfyeKwsCki3KeK8J0mwvFmEe5P m4PpYTNsk/cnzXM//V1jLmYZG3FsDlsWdmfYLfKG70L5wWuusTG2IGyiY/N8 lpjmi4zd6jziWCInamGR8RDHbY7z+3b7iOmOY+L4le3FYUv1MUu+4Gx5g3PC VsiVOFaKcLxLhOMqkThWi8S6XB/MX2MfcayVK9x/LZf1Yevsg/sG++F+t/OY s9E+crBJXCpfcj/Od44zv/caD1y2Gg9x7JArvLY4zth9xsPYNp8l1u0iYzud B699coLLbmMjjl2O8/sZ49sTttfYmHO//fx+QB/3hD0oUkc/Foljv1yJ42ER jo+IcHxUJI6fiMT6kD6Y/5h9xPGEXOGOJqPf6Dh6fm5Yw1S0GZ1Grx93HnN+ loqmt5Iv60AdoSHPpaIjo0X2C3XMHmV/nqhmo3cnqdPo3mTXmlqpo5ajlad6 DqCZFf1Fv+qp62jo6Wo5WvmLVDSdvXqaet9Jrugh+ljR9IrGd3MM/e7uO+DX w98VDR2oLzStl5zQALQAPUbz0LpJxrEgVXW8t1x7OaeD89DPp1LRl76pqt0D UlWvBxlPf/NZ0e7Bqar7jJ3pWQQXaora2mcMQ5zT3nf2cD0muT6VNRslV/Rw hH7ZX2NSVaPH+hy6Ml1OY5xf0e5xqarXE8zBSP320vfwVNX38XKEC9pX0XH4 VXR8ss+iRXNTVbunpaq+T5ELmjbTHA/T32j7ZqTqGTDVeGY7p6Ijs83TUPNE HPN890TXtqLT8x0bL685x+SXmGp6r2ktP/SMWq/s1Uflgv4tMqdo3WK5LvE3 3Jf6u6LdS/WF5qxJVR1fJhe0bXmqavdK+S33uYqOM7ZQHxUtX+0YfNf6Dvit 8/cqY9guD7Rgk1zRuQ2+A/1By473HtdWfpudU9H0jcbMvPVy3OL8ihZvk9cO 3018W30O7jsdW+mzW1P1DFuhX/R3j/Hscg7x7PY3PNg3e1NVlx9IVV1+UE4P +Zt37/f386noY6tU1ev9qarRj8jvMde+ouMPy+Nxx5iPxqJPL4T91t8vhj2b qhoHdhWfdd6fU9EU9vRfUrm3oy+/T+V+M90c7zUX3NPR7lHO4Vn29J9S0VPe 84dU7hCL5QEf7m/HeR9Hm/+Yyrm+Xh8HnPubVM5Ccs5+o4aoKXSQfTvMvD9h /H3CJx8cnEN/S2XvNEnl++Il263tbyPHF83BU8b8pOvwwjF5POg8dJszBT3m 7KuRy/n3ks9c4BjnSyc51D7m24TvnxapnI8plzPyGeMn9udcA3L5lu/6QSra y3mH9vOd8vfA5ql817wSeGEq3zVHAi9yPZ93TfnGeUM/zH/dOA64TuT5Dfub yxfeTc0Ra8S+e8V2U3+zH9uZA3JROe9pNzJGvtPON9ajtv+Vylnzw1TOOM5f zh2+rd63/91Uzt+LU/nGO6rvLs7l+2VnPP+pXNaK7yn8/iiVWqNeqdW3XQty /sl4ZlguHLir/C+VOuFb723f9b58WhorNdrUtUWLK7VDu4k+8EUNfBCW9d9J /p19Hj9trJNafufyXfmu78JfLX3+x7w1TtV7VUP7PjCHr5p/1p3vXH43cz0O Wy+vOnbI2uHORG1w5+HdLfXBvaqd63uCe5I+5jZz3snO5X5F/VEn1CZ3LOqK ejzFO9kRa/GwNVXH51+z3cH1PcM71mHf18w272tvTdb1Pof+w414ub+xl1q4 tvVsv2n7Ut8Lt46uA/e5i32edifH68r/PfPS0pqp7x3xHfs7O6++fmYG9rBe qUfuT9TtXsZz2VsTAru6J8cFXu463RR4hXt4D3nNRRNv4D3q1LcCe+Wy3mMC L3OfTwm8Uh05Yr7I26jo6+K+pdZqW7cvm7u2rhFrcJF13sC7L9wbyJ9Y+F+C /TU78Gr31eDA/rns9eFhQ3LZ0/uYl4tu3U8uc9GeQ76X9eoX2DuXvTI9sLt1 j9+zcvWdtNm/kwK7qVnTAq9yf1a4ogGfC1xljMR9l7EvDxyRiw5/NnCle2pr 4M2uHf626PNrgdtd96/m8hzPLA68JJezayn7PqvRgTe6F4hjm7HcGzjVOmR9 NrtG+J6hf2LaZFz3BE629r6cy2/a1MUGawPuI+X/lVzegf+NgRPdU7fg2/wv IH+5nMmfySUX5GEJmMs5w7oNde1Yz4Gu6YCwj+eiY9cHfiIXPb8w8M5cdK1n 2Ddz0SfW81rX9OuBO6wffPTVz+34yOVcp8bbWOcdctFidGx34Nm5nL1zAxvm cp/YFfjpXM5nuAySz62B5+ai8fMDz8nlXsJevC+Xur4tsFUuZ0DzXOqSmmyS Sy7IA3U9x9r+RuC3rb1GufCAQ+Nc3oH/poHLcrmPtMhln7PHvxC4Npc9uCZw rDXPPl6Ry16mTkdbq+fnkhdywp5encu+/nwu85mLTtydi1bge7z+z8slfmKv /IfFt8V3c8kXuaJmF1m338nljOR8pH7vsIab5aI7rAX1Ms+aYQ1nuY7kb6E5 hCv+uL99L5c1Y73QtnW56NCXcqlLavKLuewT9gi1uc/6/BByleHw "]], Polygon[CompressedData[" 1:eJwtk2lLVVEUhs9e9C/6UDbbTJNTk6W324eyrD+Q0kCO2WhzanMUSVFURESE RIT0KyKay8pmRCIiRCIkKsLn5fXDw3k295y913rXvgU1TdWNkWVZKYyCmywm wtKUZV9hP34AvuPlcBA/BD/wZbAX3wffkr/Zge+EPnwRnMFnwkr8N9TjDToQ yljf5zkD8vgQzMI3wB/8L7Tg2yHBwuTfZsO/5Hc24RuhBP8P3fh0WIH/gi58 CixPrvkOXggV+ADcxieHe1GP1/C1I2cFz82wJbx3KazG58AD/D3cxadCJT4I 9/BpkMN/wi18Ujg7ZbQHbw1nuwTq8K3hvZXJLtgN/awXwza8eSQrZdAG7eGz 1MN1fHz4XWU+Bq+GT8k1VoRrVq2v4BR+OjwLZZ7H18BH/DXk8Cr4gPfAOmUX /vYzFOHn4Q3+BI7hx8NZq+fD+JFwtsp8vbIJ7/UFSvAL8BZ/qjuCX4F3+HMo wy9BL/4MbuATwlkpE/VWDi+TezyBnwzfHc18NF4TvjvFcA5fAI+Ta+7Aj4Zn o5kVhGtUbY9gbLhn9foQVuHjwndZZ3bixeHe1UOt/ivhu6I7qSznhfdSphc1 23Cv6knZzg3vrYyvanbh3l/AfPxseBaq+bLuYjgLZTQM1rJ77A== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHeUl9URXXYGKYsYpYlRARuCWAhFUGJEkKCiIRgR7KJibGABFTtiREWI IqAoCOJiujGWRA9IVRQBaUvv7AKClIBkkcSSe8+9e9g/7pn5vfd98943796Z t9ukT/8e/QoLCgrKqhQUBOxpWVDwEZz2wJHAFEx+CvwW/sewnwH94M+A/QK4 Hf402M+BO+FPh50L9IQ/GQigLzAVY3OA4+Bvgt0G3A1/Juw84Gr4LYGjgOuB 1kA94BagIXA0cC8wC8/OB26C3xZoAAwAZmNsAXAj/DZAfeB+4BOMfQnUhb8Q dhlQCqwF1gErgcXAEmCV7VJgtW0J8NPQe2v8Hv3lfp92BbDelvE22DLeILz7 YCjesaEY/P7NleIxBve2CChzXMbbYst4j+LdR4CNXmeR930txloBdUJnwfPh OX1VaZ3GGG8EbIW/y7nn/L+BHcDXwG6PbQf22FbMlXkvx4fe3en5zc7lCaGx vcCT8AeHYh/w2D7gJIyVw/7Xv3d6LweBb4D9tru8l2/9HMe+cyyOnYo4TUPv 1YatAdQEugDNgP9h/DTY5qH3DoOtAhQCxcCbwG+AScDvgF6h7yz1d75l3pK/ 5Dw5S+5Wc4zwelVDsYtsOf97YARQHRgGPAckMA4Y6Wd/CZwe2jt1QW1RYxfC PyWUH+qIeqKuzg3xhmc52fvlHqgd6o86pC6oIWqJnKcOqIfW1gF50tIcIc+o F2qIWmris+I5t7GeqIEesJdaewvN0WXm3Qr/bmWNLqqkn5WV9MPfx5j71FFb 63ipY621Biq0tLaSlvibfN9i/lNDGxxzk7m6ze9v9tg6n2FpJf2UOW6pn1vs Pa7w7+2OtcN62OO4u8zRMuemgiM7/A719LXXqND8+sJD+qnQ027H2m+fc6yf rJHTPVbBfepmv5/Za86Xe+6g+X/AeiDPT7YO9lsrFfO7/A7HmloHnHvGOmlu DVAX3xdKEz3N73LHJg+rmNtVPVfNv5+zTx4+FeJuMz9X05qs0EZNa6LI7/ws VOPJqZHWQU3/rmMujbdmWgBXAWeGetFZttQMNfQT4HDXnn3OWbtQrSe/zgnV 7jXmJLlXYg7UN8+5Xr041AMamJ81vDfGPzvE4xLHaGj/xNCazFmHUG/b5vyV +yxYk+8I1eWOoXfKfZ48G55Lp1B9ZM5fD50rz/TnIX2SZ+eH6izXY53o5Ocv hu0civWrUO3jedd2neH+LwrFImcvC9VQrt8d9gznkXtu5pjdYLv6fZ5VS59P XZ8ffe7rF64dzF/rOJTXNs4tc9be+mde2zq3PJN2PiPmhjlivbvUuS4xx5t7 X6x/5/gc2YM6OM+N/F3MD3NznrnAc2Dd3OQzOt95Y447Ov/M8QXOA3nXytyr br6SqxPNwSLzjjyc4n118d5GhWp6Rb67Op+NnXfukTqi3qihscArfp/ncLHP jhq6JHS208wb9nHG7ubYnX3GzA3zfUMo33zvcr/761DtJkev8LrUOPfV3Xsr 9twPhVqDfY497tZQT2LPYx+8EvixUDpn30l/A2tFOGfXhc6fHLkmlMtm/h5y iX22N1Dg7+zs/fd2TMYnX/qEOML1uQ9q/LbQ3qidK70u90we3RzSIudvi0N9 uq/PaIzzcqG/tdi5YM290znmubIGsf7McF2ebts/VKPZZ+8J9dqZ/s1nOUZ/ nuPdFeIw3+vn558O3TH47ey17NOMMTDUg9mneT9lz2a/pk7Y59jj7gs9P9/z D/h5jt3ndTnGOd5vK3rkRttB9tlTeCf7T6G0+FBoHc4/7GceC90v6RPsuxts Oc5741brjf1ui+c4xn0P8PeNDsXa6Nr1RBy6X3Afe1zfBns/jP244wzxPvks 68oQ+72cw/TeB3n/PLeXQrrj+gOdq5dDeWfOqWH2Kmr6+dCdjHGob97VagGv eo7jEz1Xy7/5btgOcxzuZajnX3Cc6t4L93SE/VHeG3VOvVMTr/kdPs++Ocb8 ZIwXvS7PZLRzyH491jGGeq9clzxmzy70muO8bgv75DXzPCFU5zg23s9M8Bzz z17xbKieDfY4+w65TE6T/yOclyLbN7wO8zDJee5tv5fnJ/pbenqf1CxrM2s3 6zPHij0+3HlhTliP2Z9Yk5nv4R4/C3+TzknVgBLY6imOTIf9OJXv5bBFqRhP wz6Z0sdS2MIU9x+BfTCln6Gwy0K9qD38RaFetwp+3VS9XAF7eKpmPQ+7KtSL RsJfF+ozq+HvDtXyV+BvCtX+FvBPT/H/NdjSUI8aDX+Dc/Eh85jS7xuwW0P9 agdQL3V204E/pGr4sbCbHX8/8E3oDIsx/lWovw2G/2hKDxfALgn17S+IFBcn wM5OcSBgn0311zLvlfvcFtoT9/M58HbqrLd7Pa61ELZxilcvws5K6Xmzc8F9 vg47MaXtlrB/S/GF8U5yzHdg/57SxIfcV0iTbeG3Sd0ByS3+/cN+8QHG3k/p oxls89RdYwrsgZDGfgQ6pO4r3wNnp+6PTWBnpPrku7B7Q/WiCs85dS95gBxJ 1fg/wp6Z6iF/TnGRPJwFTPO3fwfMDt2l3gVuTfWC96ijlI46pfbE/fwD6JPq a2/Db5jqdycwD6E70DvANam+9j78e1I95QzYKSH+j4F/WOo+NAm2RuquMzx1 rjzTZ1Lfxu+aDFszdQf6J/BwqmbOhd8g1S//BTyR6jXHw9ZK3TVfgq2auld9 ANyf6kH1qUFrdxz8aimtLwSapu50J8PuDN1Pdvk3/WNgfwidy03wr0/3fNib U3fDa8mX1J3gLs6n6tMRsKem7j08D95XWG/Wmovk4UpgWKqm3gvbL9Wf/5ri Inn4JbWfqo/7gPdStfZbYGqqLo+FfTXVz06hXkP8KUidGc+LOiAnyIdy4KNU /WpEvoXq4dHwF6fq55LU2lz3oOc4fhzs1JA218A/KnUHnJ+KxTi82zGvvCeT C6yJ5MMVsD1Td6NbUjwjx9aHahbr1WOps+e5M69XO7dXpbhIHvYix1P/e7sh xUXycGOofrF2rQ7VRNZD1pvHUzWHWvnEeplHnqV6zFzY2qn+/ALsmtBd4TMi pWvav9j/FPZPqR5BXtxoblAf1znnS0M1jvWN9f6pVM3vSB2k/jd2CWy31F35 Itiuqf8vdmFeU/fXISnek/MlrimsJ/w/KPsHe8cCoHXq74DurB+pO+tl5Hjq /47nUnOp/2WexzNJ3YkXh3oM+wv7TDv7y0N9iD1oTuib+b2Xw/ZI/Y+T+nvL GqTO2OeotQGpusCawFpO3pAzM0M9jP1rWqiHsX9R929a+9TB3dZCnRTPyLHb U/WLtWuyNcWzoObusO6oy77WJnvpQ6l+OihVF1gT9oT6Insia8aIVN3on6qJ rIfU1gLri7V2YKresoaNT9Ux1pKXU/WEdW5UqtbNZM5S98b/A4FK/aU= "]], Polygon[CompressedData[" 1:eJwtlnnQllMYxt95z/1HM2jfpREhbZaopI0iLVq+JCqqzxJCltJ8tqJSCTFt +iqhqVQaW3ZRTX3aPi1EdgaRfcseftdc54/fnOt+nvM+zzn3fZ37eZuUjim5 tlgoFKZDwPepUNgEvaAZ1OFiXTgTfQxMRk+CSn40nngceixsJb6eeCL6DhiX PCfQ98PtxHOgNvpvxv5wDtxCfCvciN7O/Brol/Ub4gXwKWyEnnAkHMK9bxj7 Jq+pJvF2xj7QAw4nbhSeu4/nTUHfFV7rG8RHo3egz4US+BYac60b47FwGPpH xn7QHRoQN4QTlRftEX0DjEnecyt0a+hC3CR5Levz3rSmm7lXBtuK3mNV9NNa E3oebEZvYewNc6E5cQs4Dd0Q6qGrwcA8ZyO6gvFfnjdIeyB+nLEtXAKnEi9n PAGGaJ/Eq3QdRsLVxNcI9BaeMRP9AXoC3AbXaW/he9pjV/QKxjZwEbwL93Kt A2Oj7JVXc67kmQmqdbiW8sBfUCtcm9nKC3ol4ykwHDoQP8Z4EgyFdcQHk/M9 APbANK61V21hA3p9uLZa84cwi/h0xiOSvfUPtM4eK3LvHdUhOafNiL/LtVZO 18Ferj3CeChUoF9n/I/nD1aeNTe8Fq1pteqc4wbyVLKnSvJ6myp34doWYDT6 KthcdM7l5ZegU/b0KO5dAaOT59yN3qtzAWVQnfgFuAddDkvQX+qdcAZMJ347 50Y1aa9chHNZE36BbZoHLeAp7v3MOBWmwPPEv6mmMENrI/6D8QGYCZWqZTg3 uvYcug00z8/cij4Zjkc/qHepF2Q9HwaHc6ZcXQYXE7+Vvd0Ozic+D+qjL5WX 0K/BLHS1ZG8PCt+Tx58InxmdlcnyEbpt2Os1kmutHJblmq8Ne1De0zPXhNeo tU2DKugvGCcln+GvYGk4t01hufwZPmsHqc8K+TeyN4hnhHvcnFyzPeivk3vl YtipfhPeyyLYhd4d1i2Tz2Z/4tLkM7oPHiXummssb/6Z58qjDxMvhgO8+07i Z8IeKc81XaV+ABdmD78Y7qkLco3L0S3DvWoifAYLiTszHpW9OT98Tx49kD0i b8iDQ5XrcC8cldwrf83eUs9ULS8I11o17YPuBXXRI5K98mS4dvJMd/SbjLWT z/hx4Q+RvKEevRu6yWN5jrz3bLh28mAP9FlQR97SGtQrw72wHlyutehMF33G Poa5xB0ZG0NH9K58VvQO9bqzw89Sz9Oze4Z7ld6hvfQN91LtqZO8Eu6NtaBU 74Yrk9+5Wn5N7gWqSTviyuxV9ZNh+m04lxXMH4keEdZ6hnpl73Du1DNfyR6T t+SBn5LPtM6yvin6Nv6Q/O3WN3JAOCfKhTz2fnLPV6/XN1nefyjsJZ2B35N7 gM6+vsHqzZ2JhyX36PvQ7yX3fvXcLuEcaO+aswy9P58dfVNnE3+U3JuV80XE n2evyePziD/JtZAHbyIeH/4voW/m/zxDCRw= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXecl8URxo+y+9JBwMNTOhxI54ADDkRaQFGJYqxBUUQRLIAErMFeg73E ktg1Suyxpnd77wUFFBDwsIDgWQCfr/Pc5/jjudl3d39bZ56Z2ety1Nz959Qv KSlZpD8NJN9NJSXfC1cKaxuWlHwtbBSqhW+EzcJ6ocbfnwvf+rtNLilpLfyg 8jphk3//mX/H9xMad6XkRx53q7BFuF71pwh7CL8VThYmCl+q7XvhO+E6fS8U JgjrhWrhQOEx4RO1fyhcq/IC4WfCF/4d6/ujvpcIG1S+RPJojz3RczHmLcJi YZZwvnBEirW/J7lFuEo4NcVaWeda7XWN8DeVV0t+KvxV5WuEXwnjhQuEI1Oc 30WSR6U4s4slZ3iND/F7yeXChSpPT3HGT0muklwmnKPyYcIalc+TnJbijM+V PNx3xfpOEsYKVwvzhXHCFcJcYbSwo9BF6Cy0tewkdBR6C72EdkI3oauwk9Dd 3x3cvqtQ6nbGau+6nh6rj8fie4gw2P36CX093kBhgOfv698cLxwnVHieoUKl x670WD083iChsc67UY77KJXcMUc7ulZPskQ4WNhf+AVnxPkJU4RDXHcAuiOc KfxauMF3vGcKG5gnjBFOF04TJgllQnntPjTnfh5nlbBSmJxC15l/m21gm3V9 kPpXCJ2EP6n9Y9UtFTrqu4OwSHV3CWcIe3G2qtsnxRzYB7aBzlarfr3wD5WT ZMMc9vGw5FnCvSo/JvmocJ/KrSTXee/3qfyIcKfP5LMUdrTG35QPUPsvhVEq vyb5hvC426q93x1U9/l2ddjkoSnq1rv+fvU5QZiq8uuSo3PY6hLJ8diMyg9K Xi78QX1aFxpXeEnlrarbIvxf5XMlb/T5rPM62cthqttX/Ter/I7wbQp9n6r6 yar/WuXFKj8jnO07/c73+rbwjXA5esc87FnlOyXvEG5W+UnJJ4QHOX/Ja9iP yrPQO2FvlU/Msc+pnrsmhb3drbq7cvDKF8KXPp9HhK9S7H2926jHnvqnsJMS rb2e8HQKG+eesfNXU4wHR32gsT8U/sxeJN8VnlR5qeTYHNxxr/VpL8u7rZ/L 1f6x8BeV7xDuSbH+d1Q3JgdHr5Acl4ObvpLcIPyL9XLvwj9Vvkn4vceHR9HB Cdbfm1wPvzEP4xT6Xc6hx4dYbw51/7u8ts1q/0b4j8oNdAb1hWdS6MfNXmdS XRaeTeET4H04/3v8j/A/dEGyRvhvCv6Em+HQr1W3Ufi3ys01RjPhhRQccLvX 0kh1hfCcypelsBVsoaXqWgkvesw7vB6469YU/HWjcJv33kR9mwrPp+DQAb7j NqmOd1tbdtjuu42/d/B3J9e1tX50sb4M8Li1nIos9xxd3YY/gDPhz/s9JpwN jzUXWng8fEOp52gkNBZ2dnvLVOcz6IePaCo082+a+Hsn1zX33O1cB4cO8jrG eS2VqY7fe7mup785xx7+zVC341OqUvgLzmB4Cr/B9wjXse+dcvxutOfr4XF3 83lxTuM991DrDXKYMNJj0G8Pz8fYE9zOnDtr/DLzwETXVbm9d6rzfx19b319 dpwx8Q82utL+HdvFTp90G2XqaMNe8BGPpvATSL4/caxAn2WOe6hf6liBcYiv 4OvHPFdTrbdJDv/Wwv5hL/ejD2P0xH/miJPwGcRMG9z+uOft7XZitz7e3097 U/3L1i+48gFhF+4/h2+enUIvy6xTXa036Ed360iZ7x7drI01am0C397e98g6 Wdsar2G4z76f7+onHcmxlvZeG+tp5buo8m8eTsHF8DD89JDLKxyTLbd82PUv sscc94ANYB9NfNfDrEPwBHxxotAghe1gC5OsW+ggtoUdYc9DNN7gHDbZ2OPS Vri9tecoddue3iNj1U8RgxN7t80Rf89MdTHHJsdBmx2rb3XMTVvDFHEx8THr rHGcTMyyyfE6sfxGx+dNfVel3k+Z74y2Rl4vv23q9VbB8ylyAdbTxPt7wDqC buzg++WOWFtjn00L6whzsL6UYr01Xiv7bub527mtpX/HPmmv537N3beeZVPv u6HvB98/R9jd5114Dclzk3uwF/ZJG7EIMToxPf6DPGGaz2ydcx3us/DdYZfY FrZDbIGNYsv4TuJ4fPql6j+/iPhks8eo9j2t9bj4MHIJchJ8FTnMDO+32jkZ voq8ghyD+OmYFHkO9rrWd48fJQ8hxzjW98M9YeNwQS0vofurfe8l251f7bk2 8t1zb81d18D30NDn18J1fA/NoevELfATPLXKd77VOsJZk5N91TByKuIe/DU+ H1871bq1zXqKXWKfK6y75FW1Od8XHqvGZ0Mb8fsNtiHufbPv/iWta/cc9zJA sn8OH7KreR7dGJYjFicO7y7Z1d+04w8qrEP8Dr/Tz7yHniPbuVzuOH9f20IX 8xTjdcuRgwzwuIzZ3nORA/C7jo45u3scyt3ch/IHKfLPBV4DPAh3PiWckYOX yGfJFckPyfeJickbL1P7HkXEphfkiLmJt3dR3UJz+GmSnfT9pspvpeA6zvBl 7wWO5Sxv83mOknwuxx0Rk77nuHRpipiN2I2c4JXsHD5FDEks+bTqdhPOSmEf ix3Dv58ivyXHJp/q7PNEklf9PEXOR5kcj5iuWY54dHkKX4geEKPhC/GDxMUt c8Sf5EPkNuQv8Cm8ip18miKPmmK7aW1eWJYiF73ed9TduoG+V1rn+R7mdcLd k6yHi20bs3yGlfYF7KXc/RlnqPn0BJ3D/jnizT45/HFrz00ufIrPj3xwofuw /g0+W3LF67yntq6fbR0lTlrkuTlDvtGdnrYb4gdyY2J3YviTfYf1c+hbV+8d PfwoRaxPX+66QY6+6GZJjrs7FGmdQW/r5Wjnfrf5jt+2rZJP3aD2c2wj5Hrk WuRxo92O/b1ufSRWH7Nd+8ocOQ9+/nnJZ3Pwx+9SnCW2ht0TdxI79rL9M954 6xpx61jbCmOfqfZ7cujRPK9ntPvNd198Az4CTofL4DS4mLwBTiOGwQfgC+D5 t3Lk28RbxKULPD+58ic54hC4gBxlsnX7Jn939dnsY93irohhm+fI0eg3R+V1 wt+tg6e5L7nv7Bw+CmBz+Kpy2xd6cWkKXUEv2kgP5+awD+Y80/PuqPqTcvgW 5kYfiZH3KeLdgfiIWHqh91dpO0Hn38+RxxILv5oj3iLWOihHvo1ebRRe81qw CewHuzjOdawN34aPg/PxhfhE/AH+Er+JX9gvh/6he6z1Nyls+laPw3gjfDbs o7PWf7r5c47KB+bI88iV38zhNxdYv8d7X9gzdk0O/VEOf7osR95OjF+qca7K MTfxBHEFvoo3jBrr00VqH18EJ821LaDn56t+TBGcdInKE4t4R7g9RzwBT54t +UAObiNuIH4gVuB9lzcQeJ93zR9S+INNKd5LajkdOcr6fqV1nveSzV4HNro1 1XHx1dvp/lXW/5G+3+zyiFwX7yKJkeZp7YtU3iUHb/Nmd1CK9yjemfC58Pgh buP9bKC5faXb0b1q9+E3nTwWPAavlJhbrs1xf9wdNv5GijwO+abLc4tYE+s5 OQfnHu89/eDzgM/qm9MutU7O9rm97jv6OMXZ867RwT4BPu+h8cqL4LBdJXsW 4Yfxz+gZOtZbslcRvrq/ZL8iOLKvZJ8iOHKg5IAi+HWm5LFF+Lmukl2K8M/o OjEgMdVs1c0qgg/QD+wcH91ddd2K4FryP3hqrWNPuAlempfD5mf6nrf6nrGJ vb1m3khXpOCUyb4b7mWG+hxehE86SphaxNkdLRxRhC/B7jb6LHl3PDWH7l1m nWR8+OZKc84B1g989DGqm16E/ztCOLCIe+KdbEMKjjhW9VVFrG86tl+ETswU ZhTh2w4XphRhe0eqfHAR+5yGrhVhM/f6XrnTKV4D+kfssNr7JjeFX+H2V1K8 2dX691dcfsN6MsrntMrjrXZ5ssdd6XrqPnUZO+Z9C87Ab/Amh5+B23iXOtrz MB/8hv/hLQ0OuN/12B8cyfsZHAn38NYId8KXvFfBl+jQJt8D4x5jXarl0y8d BxGHkF+gP+Tn7B2dL7fvWGLdQqc4H/pQV2Y/i90d5j78lrOhHjtibOIYYhX6 Ex8TZxObEN+SP8LX+O8K75F64m36UY9Phy/gDXRneI54bKDbB/i3/K6ff7vE czMva+nldV4h+VCON9PjJV/I8Y4Az400v/HGgN/A9zHPcNv+QM/L3Va4fqB5 iPHZ9wiPA2ducf6Jb4LTKsx7w11mzMHm1cJjDnJ9leuzx6xyn87u08m+B3ti /FLvnXO9Rbg5R3w0RLo/uIiYbqhkZREx7yDJiiLiyuGSw4qIr4l10LVq56bo KX4NX9e2iDmJF4hZ4If2qutQBIfCNdM8xp6qm1SEDc/PEVvgq8lFrs7Bt7U+ Hn18XHU7F5FXlRXh41t57unu28a6hM6yVuJa+Iq9EasSr/D2xzsNcfo4jXNh jv85jFJ5tyL+X1RmHUQ/h/ueiWt+4poUZz5afc8zL3BexOjEZP09NvEFeolf JW7kPZLYAR9a+y7JNzHvyCLirGGeh7YJqrs4x/9beOcc67GGpLpYlbgPX0eO 8yPxkIHj "]], Polygon[CompressedData[" 1:eJwtlnnUjlUUxV/67r3moWU1UFrSPGueNMiQhAwh8yyl7zNFWqYiQ62G1WxW CtUikoTMQiQVMmTIJ4TIUObUb6/9/rHX3eee+9znPuees89ToW1e/dyCmUxm KsgBJVImcy5YHTKZ9qBqzGR2g7nwF8Ag+H34d8F3gybYL4F+8DrgXnyNsfvD d4Ih8AeZ2wvfB8rAuzLXEf4yOB+7O3Yn+CtgGLwqcwfgB8EY7F7gafgo8By8 PP618MqgH/Y7YAS8HONIcH/y2UrC3wM9sCsy1mKuAePY6L0qgXfh08BkeAnG D6O/Wd86BiyHPwWawgeCcfC3s+8bDXrAL2D/NfBSoCL8MXAc/gt4MvkZrS2e jd1gxj3BMayZHAN9+xGwCt+r4DB8OqiB7xOtz/HcxdjlQGf4T8Hv7on/x+Az fAR/OHmvseAR+EXJa4+CbvjPS469Yj4au1pyrEvDJ0Y/o7XjdKfwZsz9Df8n +C6HYu8PvtMB8LuZyw+OYV/dJdgBfx7chW8pdp/gOd3tcOy/gu+4NvbX2M8E v6MW9qNgQvBcdZ0V/6HgZ0bBqyTnUin4bHAp9nrsXFAPexaYqnwAbyp3FOPo mJWG14F3CM7xe7ArJ+dqXzACXzfs8tmcXsx4K/Y2eG8wA/sL8Cn8M7AQfhP+ LfBnwQLsG7B/hfcEi7Bvxt4K7wXe0rdil2XsopgyngRL4K1AYXzFwSp4O3AK 31nwLbw1+A9+Dv7l8DZgv2IJFsBbgBx8hcB38LbKMXx7wTfw5uAN5TP+Mtka PKS7BYvgLUGF5DvXXSumS/Ddjr1dtQfmYF+WnNt5IOm+mBsW/M668C+jY3OE nD0BrymNCP7Gg/AaYFDwmY8qX8Hg4DMUZL9a2EODv/EPeHXwYvA3VFPsVafy sf98+HU8s1m1CP5V/oIhwTErhq829vDgmM6DX8PcJnh3MBf7CuwN8K56B/ZV 2BtVK8G5eyf2b8E53EG1l1zLI7G/YpwJpgTnnGrx4+jaU02+Bp8QrSUTg3Mn F8wLziFpWR/sdcGaJu1ojn0sWEOmwxtGa51q4nPlD2gGnwS6KNej99acYvN6 tE8x2gjfAH4nVrOC7+I0WBp8J6rdgTpzcA2Ph38QrXX5PFM/qwnSAmmwtH2y 1gRr/BppD5gB38n6tfCfo/lM5n6Ar47eS2tWqB6jtW2acga+MprvYE2B5BxX bi8L1vb+YHyw5pbFf2Gy1irmZ6JrRLWhbzoeXVOqpcXBuXUsmivHNsE3R8di F+9bB18ffVbFaKdiBeYEa+6e6BpS7agHKhf/BPODc3IrfEv0XrOx90XnqHJT d3wgukZVm3qmM3wZGBDcU/KllWB3jt95JLomVYsLg3M5kxwL5XSp5B6t3vx9 cO0VwV4ZXINFkzVE2qG5mKwJ0oIVYBvrt0efVe9ULR6OfpdqUrUXkteqBlU7 JZPfpRq6Ft5EdxRcc821N2sKSpey2tkouteWz2qdeq56bdms9kgjpA3SIGmz NFtaLY1uk6y50tpCjI+DvOTervu/Bd4apGhNbgvvEL22sO49WXOltZHxoeQe p96mnjUl+h+hZDbnOyXXtGq5WDa3OyZz5fik6H+EEtkcbJesidLCIox36C5A 0WiNeCC5R6k3qcfL1zF6rdbclnxmnVWaegm8d3QvkAY0wm6FfUZaBq5OnhOX ZlWCtwQhuqcoFu2jv1Uxka8dY070mhuT70h3ox7VLLlHqTfpzlok9zD1Lj1z PXZTUCC6hz2RrLHS1ozuI1kjpY06o9a2ifbpmbrJPVm9WBp2JXZDcDpYUxsk a6609lSwr2U015r62C2wT8BPgnrJPUe9RnONkzVc2n02OBdbR3Pl5OXJe+hZ abr+/d6P7u36B/wfIFaDsQ== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0vlWjVEYwOGvUoZEmVVoQMgU7qO1ugQXoEsJIVMUZazMU8aUuYiEzKVS hogGU3j2On886/d+e+2zvn3OPtnri4s2xEVRdIoVhDmRiaSQxkzmMo9sCtjM ZJtTeG1eoNs0S6cwlTdhv5ZpjqaSxlvP03S7Ttc2XajXdbYe11l6Qudok6br yXCOuNhZM/RGOJOe1kw9o++Ybz6nrTxkK/fD97O+kuWsZhW3rZ9lnXmLtrDE vJQ88lnGLevPWGvu0Ke8opRmHnCPl+yiixc84gntLPbZnbpIO8PvqjPIZYfn mzTynGM8po67NJBsX224G63RSXpNJ+hRTdIjOl6vhnvUw5qgh3ScXtF4PRjF LvtAiF7Wf1QzRhV/ucQf9vOLffzmIj+pZJQKflDPCHsZYg/DXOAO5ZxnN2u8 t4BN5m985wuDfGUjn/hMPx/5QAnv6aObXnoYoDCK/Y//AxnfYUg= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{310, 309, 313, 622, 613, 614, 612, 616, 615, 540, 618, 619, 617, 621, 620, 541, 624, 625, 623, 627, 626, 542, 593, 668, 576, 611, 560, 609, 559, 610, 539, 312, 311, 310}], Line[CompressedData[" 1:eJwl0tkykAEABeCft3Bll1AzFSmSkVQqyyikkHHhUjeWKFS2NmtZqgmRtT2y RyIP0BP1NS6+OXOuz4msvlNUGxIEwThhoUGQqxyTR3lOFc94yiJH+M5tnvCY byTxlUq66eILiXymgk46+EQCHymnnUd84DAL3OIhD5gnnjlu0kYrsxxihjJa uM80cbznBvdoZopYJimlibu8I4YJSmikgXGiGaOYeup4SxR5nGOFLIoIZ4nj 5HOeVbK5RgQ/OEEBF1gjh+tEskwyhVxinYv0kkIPJ+n7vxcDpNLPKQa5zEtO 84I0hrjCCOkMc4ZRrvKaDF5xljdk8tcnVlhljXU22OQnW2zzix1+s8sef9hn mRmG6aKBGkpDDn73D2IpTQw= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl01WIFgEYhtFx7cIrFRNU7AK7u9u1W9fu7u7u7u7uWnVDwcDu7k7QW+MM Xhye+d6bXWb4s0X1j+yXIAiCv0RHBMFpCicMgu0UTxQEJSjGVXdJ/a0xmo29 nltoS5rSnGbssUdqExrSmEbsttfXBtShHnXZZa+ltalOTWqw015JK1OeilRg h72MlqUUN9yl9aaW079aVW9pFb2t1TQBM7jrnq73dKYmZC4P3XP0kc7TxCzm qXuRPtMlmoRlPHcv1Re6XJOyhtfu1fpG12pyNvHOvVHf62ZNwVY+uLfoR92m qcjKF3dO/ap5NA3pueS+qPs5QBEuh+xX9AhHKcoxrth/8osfpLbd56znC3zj kfu7fiZl+G444zmdpuWT57sarVk0nvVsYB1v7cn0Dqc9F9KCFGAVKzllP89L VrhfaWbNRCxxLOSJfb4+1gWaiNk8cM8K/3eNCL8rJz3n13zkDf++u334bjS7 BuTmujuHXtNc+kczagb2eW6tbWhFO9qG79beUTvRgc5EcdDeVbvRhR5055C9 l/amJ33pw2F7fx1APwYxMPxO9iE6lMEMZ1j47ewjdRQjGMPo8Fvax+l4xjKR CRy3T9YpTGIaUzlhv+b3fJ544oglhnOc5UzE/9/9Py0liug= "]], Line[{959, 765, 769, 773, 777, 781, 784, 814, 963, 1020, 1019, 1044, 1241, 961, 972, 1042, 1243, 1043, 1018, 1213, 1215, 1214, 962, 1056, 1231, 1232, 1230, 1234, 1233, 1048, 1017, 1240, 960, 1055, 1228, 1229, 1212, 1016, 1210, 1015, 1211, 1041, 1209, 1014, 1207, 1013, 1208, 1040, 1203, 1010, 1201, 1009, 1202, 1038, 1225, 1060, 1198, 968, 1197, 1073, 1196, 1195, 1223, 967, 1222, 1072, 1194, 1193, 1221, 966, 1220, 1071, 1192, 1191, 959}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1245, 1244, 1407, 1596, 1734, 1641, 1733, 1642, 1735, 1675, 1906, 1676, 1697, 1696, 1598, 1741, 1742, 1740, 1744, 1743, 1599, 1746, 1747, 1745, 1749, 1748, 1600, 1751, 1752, 1750, 1754, 1753, 1601, 1756, 1757, 1755, 1759, 1758, 1602, 1761, 1762, 1760, 1764, 1763, 1603, 1705, 1863, 1677, 1739, 1643, 1736, 1738, 1737, 1597, 1249, 1248, 1247, 1246, 1245}], Line[CompressedData[" 1:eJwl09VSlVEYgOGFssHGDkxU7MDAmPHQYCugYktvQGdEwQ70GsxjPbAOxNGx E/smvABbUWzFetZ48Mz7fetkr//f8+ekGksa0kIIT2lPD6GNukQIxRkh9MoM oTc96EkWRc67aXc605UuFDrP1E6kk0GCJc47aEf+mtM0sNj8mz/85BftJPnO D77wja8U8InPfOAjbSyilfe84R1vWchLXvGMFzxnPic5xUEusJnzbOEihzjH Al7TwGWucJWlbPIMh7WRPuat2lePaH/dpv10uw7QJAWctp9hJwPtO3Qdyxhk z+aa+To3WE69s6O6i8HmoQyJ75CzzkriM5h363FOsCI+j7Njuofh5n06TPfq elZyiWYK439Fk3mE7tebFJlLtVhzGMmt+A60LN5bRzGa2/G+Wh7vpLmM4U68 j1bE39SxjOOufZVW6modzwRa7Gu0StfqRCZxL74rrY7318lM4b69VFNaplPJ 44G9XGu0QqcxnYf2Sq3VKp3BTB7Zq7VOU5rPLB7ba3SD1ups5vDEPlc36gGa fDdJ5pFHLtlkkUj8/77+AQp1ZEY= "]], Line[{1624, 1358, 1362, 1366, 1367, 1368, 1369, 1520, 1674, 1862, 1673, 1860, 1672, 1861, 1692, 1859, 1671, 1857, 1670, 1858, 1691, 1856, 1668, 1854, 1667, 1855, 1690, 1709, 1664, 1850, 1663, 1712, 1686, 1703, 1662, 1685, 1661, 1904, 1903, 1621, 1902, 1684, 1695, 1896, 1897, 1893, 1895, 1894, 1704, 1623, 1852, 1853, 1851, 1665, 1688, 1907, 1687, 1640, 1622, 1905, 1689, 1666, 1669, 1624}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.7999999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.7999999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVdfW6NFgwWvF3lBiCVHsxopse0WD3QgmRrHEqIgSCLH3GhVBrDFY QBPRYO8eKyoqKopIEZB+kN7s8nxj7N/cd2xHni839413v+/zrzN+Y625zpx7 rz3XXHPPtS3HOQ+ZUNzExKR9KROT//27YPbb5hZLowzfXl5sGGMTqPQ8Pz0s cPh94QrFzz9bZhckPMriJ/NDx/cKIz+6z+OoC90uiTyMPIw8jLzpgefhQybc EnkYeRh5GPmRZmWmzOx5X+Rh5GHkYeStz1af3HnEI5GHkYeRh5Ev5txoounk xyIPIw8jDyP/dH3Nw8k2T0QeRh5GHkZ++JT6rW5eTRB5GHkYeRh5Q4/PAv8Y lCzyMPIw8jDyn9dt3sI7PFXkYeRh5OGgpGKPHeOPKl6FbQ/+OPap4jjN19Ls brAw7W/udG42xpihxG9vt2jStHBDjNvOci3Gb1bsDAMH588OEUYf2G+lo02b TmeF2x5Yubd0+Q1KzMpD00vWSVPqB1a8vs33kjDtfcefzEjbk67YVd3c5cz8 e++1H7YxTL3TLEvk6Y/9/B/2w9gPY59+fP310LdzPeasmzL3q29+NtSwTF/0 +XB/4SX3swbd9jAqlQcnloyd8JsyatkbO5/VmcrLAZNDDCkhSoeus9Yq5zX7 +b/zax+5DjkZpGQGFN4+VDxdabVm66PuHhEG64O/D7eeMUPxOhDadM23YcIF IWXmh/W7J3wwbumeLk7BwvJ8qezSoLD/3baXhCffuhV/tcxRYe5Xmc9/PZP1 zWm5XjD2tXPzPNd40DHh2KiAUyddDCLf4mVaxMqh10Qepv+V+omj/YKvCG+9 nzNqevQNkU9v8cnTn8/cFXmY/tOXFY1onxkivGv7siYmJqEifym+onHE7TCR h+lf1u3n3xJXPBB2/9Lb6kalcJH32WiRUi82UuRh+j+x2rb3wNYIYbviuxpv aBAt8lP7WielZseKPEz/41H7/NwCYoTXR47ccGBrnMj7vtmeM2phvMjD9O/d J+pevdgnwi+PfF1pQ4ME7f6F757RpUySdv9Upn9g/Xh708mJwk4/T1jvFpAk 8q6Bv2dZeqWIPEz/Wi9T76RmJwuHTJxaweGLVPEP9IfxN8xnng/mM4w/QR5G nvlOf+Y7zHyHsQd55j/tzH+Y5w9/gn2stzDrJ8x6CLO+waxXMOsPzHoCsz7A +HtY77/R95Pdnu2CK51TdtX8qVzDPhniX2DRR33e6Y+/oT+MPw1abkifb5dk iz+FmR8w/ddu+b6E3xaj+F+Y/jD6w/hbPX+W3ua7mUXaeuST7OR6c1GmMufi sss/dg23rbDk0eHMKauEI4c/HTvr+k7hB1GeIQu9Twh3dQvYN6bpOWHvoU4J oRlXhYN9Xe52PXVdeEe0wflw6bvCnRb3nvjd9HvCrutuT5tdK0y4YrthTq0X PBTu2z3q+57WkcKJqd+Oe+UZJWxRkPpdOdtY4ce327eMHxwn/GLoqzZPP4sX 7rPX9o+gSI3HNyt+5E5govChBb2a7x+fJHy7pFnrox1ThGuPtjuwLj1F6XDN 09Wulb8yamef8+vfXW/al7YZau36Q5pS2Ml+WaB5hIH2kLd15llcDxM+PfeC dY+Eu8INF9fqN67VTWGeR/j1gm/990+6KDyiUmHTCn7HhLNTTs+vHHBe9Omb 3uNus6dX39Nv56lqLecOSBfOKjt6/6i36cqMzNczE4/ekf5jjxzqZtro/nvy //Cq+8e3D7T581Xy2CZdlmcpbidKRZhe1J5/qzI/rTk7cK/EG229Z5t61E06 T/yAvPgHlcU/qCz+QWXxDyqLf1BZ/IPK4h9UFv+gsvgHlfEPMPEFTPzC875u 4jGXwr4ZSgengXvrHrmi2EZMrVXhmXZ9R6an74l98ruSGdlui8vWgPeuZ4ad V3aZUk+ViT/+WCX2yi3FouXls6YH3/GJ8pccIk8qy7dfrFeig3a97wTdSS/W yqjMdBidcK/GRrn/5fcdW+fjHKh4VBtj6R+WqfhUuNJl75SjEj8hTzyGP0Oe +EyvH/69YmS3GsmOd5V2q2edmFzyqTLKb2qR5y8hEn8Rn008MG1bq2FPlVpH ziTvuXRdcf/1+xWeQ9OVtxbVllc9Gyz+8crODsc+Nbsv8aH1wsstAr8MVeLv pDtMddTixRmrhi/o8keWrIf4y0Flz6Z9lxBhaHltdV/DcF/bKmU9gmpX0Nit 2aGaE549EA5slt/lyM0wYdZHxjP/0trz9ZF70v5okHHqwdi7wjPjui/IWndD OC3u+vXVHW4K87zCrJ+MH9Cgo7OF2WVpb9fgSONFYy8KZ97svfXzcYeF428N aTruyDFhnh+JJ9X7s7miZ8DNUke0+ew7Isks+oI8bxI/qu0FGeND3fdeFv6u 5Mwn24qCpb/Ei2r7r0Pnh5jdvC1c5nhQpo9nqPSX+FBt3+M4MGngM+35jJn8 IP2b3eHSX+JBtf2nCg4J1cwihI/Wjk+zOhYt/SX+U9sHXZr8JLZWjHCvFPf8 HxPipL/Ee2q7Z6czzsN8tOf/jwvzZo2ZmiD9Jb5T219VvpTZoZ62HtTcujS3 W0GS9Jd4Tm2fkHF9Wt19mv9YPGuNS+N5WjzHejz1cWKTsFhtPRjluCLixcsH wsxH+resP/zepMB70t7BNqeoxqYbwswv+idfXZWVX+yytP+0fPeWOTMOC+Ov 6F/t68kZC9zPyPPettW0mu5Lr2ms2ivxnGpfR9+H3yef0vzhyMZbnbPWZch+ k/GX/Hb/8221Qt4bj/UA+d0ej9OCu2dK/JgeU3tvD/905egXWy51PvWrcqTz kxIrXbJk/LGDczaU2pOmdPUrYXmu9T3ZD15Z3WxEP58LiuvjoJlzN2coh1cu OzHw9VnZbxKvzZvVd+SRlAzlwvRuBd8EaPGdb7/bcXWHbJTn7cTqTh3day14 7/nudd/YMm3wSQPxGky8BhOvwchfr3crvkbT9SIPIw8jD6flfZPmsilM/G3j Q1k9YoMeC7c6YRjU+FW88J2Ny19Fm6cIT3P9cp9Xk6fC/xhafXj/7lnCYZuz FpgcyBFuuGJoeNTJPOFZ7ieanbhSIHxpYu0lG+4+E640Yn7ktOgXwmN7JbTs l/pK+I+2fZY3zH8jXNRg/+OioqL38gXcL+yFsRfGXhh7YeyFsRfGXhh7YeyF sRfGXhh7YeyFsRcmHj86zPJh/Y7ZYj+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2 w9gPYz+M/TD2w9j/3cU9Vb3m5oj9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9j P4z9MPbD2A9jv0Vzq+ElLuWK/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M /TD2w9gPY//9rfu93Uvmi/0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w 9sPYD2P/ilItHhj7F4j9MPbD2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbD 2A9jv63r4cqO6wrFfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyH V4R+tsnqjwjZ/xDfEG/FX3N43j8rTtoX+DfwK1YqSdhi6dPBJy2MwmfHH3k7 vV2GcLOd58LM92YLz1lvaZ15OFf41vyli26czxeu5Wx8tCe4UHjK1wNbLHj4 XPjkwENLHeJfCpfuUjW6XeZr4ZHWHq3NX74Vxl6Y+4t9xKPEg8wHyReo+7/y /0go+CoqW/iK+8QvbtXLFf4x0ehq65Qn3HzwtKOB+/KFE85l532aUSCsn1/6 66+Pr2hnvsHMN5j5BjPfYOYbzHyDmW8w8w1mvsHMN5j5pn8/RLyB/ay/MOsR jH+G8Vcwz+8209dePqvvS/xN/E48zfubcnkL1pS+myX5Afb/xOPkJ9jPtI/a /l2gY4DEvzD5ihn1o1tbdj0ivPaHhdMsOu4ysN+iP0z8zP6Kdph2/h9mfJj9 iz7+/7/N7zLf2B8xv2DmF8z8gplfMPMLZn7BzC+Y+QUzv2DmF8z8gplfMM+3 Pt+cnVfh06//Kd98K2bFmdh/yjeHno6yDHoRaIBvdV207sFVf4Nr2/JesWaP ZL+4fUa3bS7DooQfPR/k5l8nTjjdZ/JPWRefCLuFV2swpm2i8KofWn7mH5Ek XOV4zJ3KdqnCVsOe33fMMQof9vafEzw+XTio9YUFlc0yhfd1POF9oUu21r/0 lWoTKuYIP7eq/XRbv1xhk+efTetaJ0/Lx9aY3819eL6wfcrqy7WtCoR9SiVs GvJtofCOh1k1n7V5Jpxc2Duz2bTnwplXh84IVV5o++vk33uaebwUtjl2IujA gFfCS8LKb0tc8lp4zZ7adVeOfCMcemVmjmH9W+For/mznMYXCc+0f3xn+f8h v8v9tGlnXn33wWzh+NgjDyqWzhHO3rVxRNU8jX3s2ldZbJcr7F+hps/y9nnC dqdODy1Yr/HoOdvDXszOFzZpbOs1KUzjisZ6VadeKBA+vuFiaETNQmH8P8zz rc9HOpbdVLrCP+U3WR98+lWNrL0nTTk9MupGn1dafgF/O2q6Z5P4vhmS79D7 W/KZkn9T/a+8z1D9L4z/hfG/+nypPv+sz5/o8xsfyjejv/hf9f/LL4vuMWfZ MeEdw4ptujtqm+F/en6WeA5/+NbTI/O0Tbg8P+aVHyo+ltHCxHf07/SlWV+r qbGaf0o9fGuhVbww8Z/0X3brbvDtBM1fBf3k0aFrsjDxIf0fOXnPXZiUIu1O ft0bZ41MEyZ+pL9bD8cmHd48lfbiS8rc93PW/CHxJf3LVNrwvXsZzT/atzIq B3to/pH4U95nmhReHFJN85e+9Qf6rPxS85fEp/Tfl/VVjeafav4zu8KhdCcH zX8Sv9K/MObcdLPmmj+1LarSo+skzZ8S39K/d4jl1cSOmn9dm/njltqzNP9K /Et/73NLa1/opfnb6MfRWYXzNH9LfEz/xACjy7bBmv+1vt21d+gqzf8SP9O/ 7faB193GaP74p7N7th/w0fwxzyfxMc/jss9zj4ZP0Ngn/X67aPsc6U/8LP7a 54f8fr9r/sfuq5FugzbmSn/ia/HfxV+0OZupyZsERR67EJEn/Ym/xZ87z5nV vI3Gx1t/XdDaokD6E5/T7hhddNjXXeMpvz5p6zeuUN5X8bwtCva5Zt/5gbIu 061Dh0Dje++b9O/D9O+v9Pli/i9uvv2z78pq+TPiPeItmHgLJt6Cibdg4i2Y eAsm3oKJt2DiLRj9WL/QD0Y/GP1g9IPRD0Y/GP1g9IPRDyb+4/0u8SFMPAwT D8PEwzDxMMz4vC9mfJjxYcaHGR9mfJjxef/M+DDjw4wPMz7M+DDj8z6b8WHG hxkfZnyY8WHG5/0448OMDzM+zPgw48OMz/t2xocZH2Z8mPFhxuN9PePBjAcz Hsx4MOPxvp/xYMaDGQ9GnvoA5GHkYfpTP0B/mP4w8QjxJftJmP0kzH4SRp74 E3kYeRh5GHniU+Rh5GHkYeSJX5GHaSeelXyVvp5VZaln1bXzvlvqWdV2yZ+p LPky6mnJl6ks+RqV0Yfx+T/el9MO0877cZj33zDvt2HeX6OPvp331WKv+j4a e/TtvH/Gfvozf2Ha9fWEku+i/pj8IvXHKkv9scpS/6uTJ/6gP8z/EW8wP2D+ j/iC6836JvXFuvmgX09ol3yeypK/U1nyd7r7z3iMj/+nHaYd/007TDv+F8Zf wlI/r84HmHb8F4w/Yj7AtON/uN8w7fr6du6f1HfrmPvH/eV55n7yPFvtGG6f VTZZoX53leHn3R0KnijU04ZfXJ3xyZkohfpY6k1tki8vdbPOkfrVnCF9rqbO yFXcfj7lH1wjVaG+8gffoVtPh8Yq1NuST6QeiXiQ/CP1rT7bl/r9EZIj9bID zMySLCvnSX99/pz/43oxPvsh9r/EW3DQnLpv/BqmKeQfYfKT6KuvF4XJl8Lk R2Hyq3DHhMtdB+4OF+b66q8XzP2AHx3MeVG5WKIw9w/GXuI39nfYC0t+VN3P SX5AZdrZv9EO085+jXaYdvZntMO0sx+jHaad/RftMO3st2iHaef5xN+zfsDM V+rpYerpkWd9QB6mP/X0PN+sF/grmPtH/TtM/Tv3H//Peor/h/EHzEd9/ba+ /pt8H/5fX99NPl/OE6j5f9ZrqUdXmf9nvvN/zHf9/5Nf5P8l30j9IvWNKvO+ gXp1/A3XWx9fox/PF/X4jCf1nyrr4yvG537j73m+OO/A/cW/83xyHgF7ia+o r3/SovjELquy5flkfawydeHQhS3Txd+YTs3vW/5oqrRvjj3UbMdc43v7MfJd rJ/69xMw6yfMfISZzzD+EXb94nTP0XHa+sr+lHb2pzD7U5j9Kcz+FGZ/CrM/ hdmfwuxP4fUlE5ZcjdbW9+f1F5pEuhjf26+tPtGuvPecCCU069raxjeS3tu/ VDtexzS5ZrxS6/DsbmNHPJH1uf/Eby8XK/lY0Z9P+3fV93O/mpgOjX3d2qiE eMSXrO8VJOs147VxaGqeMylbmffrkkk2l8Jk/Sb+ujNtwLN9U/KUCZWCwq5Z Jyvx0VtXmQ6IVvYPq2WZ+fyJ0jLUpX5MowSldXu3n7eOfKzsmVc6pNO7fhXd dl8/832QIf5g1Dar2TlK1znjfd+MfWDoa2776a7NuUqLeSG/ezQ0KkMLguad 3BhguOc3xdz7gFFxsbpocWWvdt7gXz1/ML6w37A2ae/8Vs/uJ847H//geYS6 owas8LpsVDYFu5tZntHa/+x8Qs2Ly6tMr25Ulu19a7Ps8F2l/YbAYRGVjYq9 abJViRta/z87v7DyaH4Hh4GpyusfylYvFvzgb59nCEle+7mlX7LsH8b8cmhE 9cREZW2Ca5PfrsYq5g13B17dkajsHV0zs3jHv3/+4dY3t30PbYmX/Ue/SlHT x4yJU0JXDRkT/YfW/8/OR+A/+m+a/kPNN0nKp1GTzpvujVTKfb5k39jeH89P 6M9PPEwacdZt6R1DB8cZNWz/kav8dtYmOGLSKYnHZX/f8oJTJY9cxbTc5aLB U+/Kfqqi36BzOypEGOZdXNNnboM8ZVT+sU5fDnh/f/XM16tHtUsHDDD51L96 HgP5O52v/3JuifY8sL6Ot1+VMsdXW28/dF6D9XPSJ3e+vjFVm/9/dn6D9dR6 z67h1lbafPxXz3Ow3/l9zajV9V5p+53Epi8+WZ6XqyQce1HqXLBR8eq4KKhN 5C6lWLeNgZceGpUjQZ/YvRn1m5IR8Xh76OhkZXO5+QeqX45SBlQeMOiwabxS edzXLq9rJiiTbu+reyIhRa730oHBLWLe+Qe43NzHg9MGv3suDDsnD9/zSBl2 7ETJ1nPe2RkXU+3+micfPD9Sa0nF3IsWDxWnkotazi72rv3myhnu+3cZbM4W LLIYkq2E2TRfduqrtPfu95+dJ/nQeRHDl4OWlvDV9k9jvr1WKeXM+/mdPztP MrFaixG+jYwSf2/qM+F5v8+MypUf3iwKKhVg6Jw59pr7u/W4p/PDb8y9fAzV HKrO3vZUy9c4N73h/HuqUQl+Ps98Wd/zSpkbjk1HJr3bt31RZtPh4ReUyLvP Rzkc1fI3nvGz6/v7GRXnnZFrQ3ZeV3q5WXUvu8CozO7WK7ut600l1PPyg9hE LV9Spe+zt1VvRyjzLWvPmrg9ReKzncV3zIvL1d7nEk/ozzeVGJK9qfqJALne lvaPfvCv4v/e9ed8EPE5463a9Y/MZt+d0frvrj5/4unzwi/X1t7iu+aa8KK1 G+1NE68q/+p5EeJz/v/8gEa/u1QOkfHa2e3PLXf2jvDJJXX9zxXcF563JHKh s6XG5CMYr874Xc0bdwyX9hHjk4a4lnsknN/tQFGTRtHCp7tNiYq2jxLmeZf6 mvqtV3hNjpX2fus7PZxhESe8Zf4Oa7sm8cKzi+bUanThiTD+hvFuZMbNMLmV IO0p04sv/qxdonD7rydGFO+eLFwzpue1qPAkYeJzxisRMCN42qun0t7AekO0 94R04Vm1C1vPcMkUHr7tQf1+pTQuuLriTVKKUYku7WdobHlU3rcy/pBe2ztv MMuW/mNLHLjiZ6tx6Tcxzl49c7T5YhOSPL+CxuzXGc+3rcmGaVVzpT0wv2Lt hf01HpXePWi6fZ5wX+vWXRxqa8z+nvGyGzil9rXMl3aTRFcXxxEa74vyr9Pf sUB4c20fr3afaUw+gPFsK1+3bdisUNoH3X90rf04jQuDy8xqNPmZcHKZl8ZK bTQmf8B4a4tbbyzq8Fzad1yysag8XePep6ffMHF9oc3/l2O6ZthqTL6B8aJz 1j2N7PlS2tMP+bpmemjs/Vtovej5r4SXGC/6XO+vMfkJxrN+ktftuP1rabfZ aXrzxlKNEze3czux+o3wg0eNMnaP0Jh8BuPNuTtys6fjW2lftX6ypZ+nxq1X bL21YVORcMPrK3vMH6fxXz1P1rRPl7J+94xKvaoNcj95c/kvny9LXTd45pWq Rsm31LxVbL/dqVQlrlfrA/eC/vr5s3bBwUejK6ZK/qXvyTbuBtdUpXvrheXe VHugOI9Na97EO0Vx6vxmYaXj4Up0JTsLp7AUJWbMnO525x/+Pz+/tm/erGtV 7idKvme2bTfryDaJyqpr9ZLqnf7PO9/WafTimJLlY5Wb2aMer3FOUrI9PB4f ydXyT+Sjrg83P+dVI0mZV/9UXq5PlPK0R82d55KSP56P052Pezi8d7JV7v33 xv+z83KuFZ6OH99igsGi5N7khyWyldfmv1x9UeWqwcbU0d11Qo5y3Px1z6MZ Fw11bpR6+KxVjtJ8nuOYk1mnDb6WVcIbpmYr4a+sejSdrL3P9XzR27Ps5QTJ T5FfNH++wH5FQZyS3buk/7KX4cqtUiNCx9inKj9eq1/4cP1DyeeRP5s0Y2GM lUuqvI/Y6tn80777UpSAkSYBu7o9kvzaMO8HBdsSt0i+i/iydEh0L9f62vtH e4+242p65Cj1MnbUcbqe+s7u5hua+R83eH0btfzURKNi1sJp39HqtxXP/PM2 X1xJVoa8HVDj8NxIZW6JHWX2rUlSRsfcbuVZLkZJ2ZoWvfNcvHJgR6k+ikO8 0qha9MiwZk+UolVhVZanJyi1br/0fpsXbFgS32fr2ss5St/z9S/Nq3HY8Pba yYrLf8lWOsVVf2Ry/KEhsnepgikxuYpVn2VW6yqEGtpX8RgzYIh2noX8G/ka mHwNzP4YJp8Ek3/Svw8jn8f4+vOBMOPDjA8zPkz+Tp+vg8nXweTrYPJ1MPk6 mHwdTL4OJl8Hk6+D0Y/9KPrB6AejH4x+MPrB6AejH4x+MPrB6Mf+GP1g9IPR D0Y/GP1g9IPRD0Y/GP1g9GM/jn4w+sHoB6MfjH4w+sHoB6MfjH4w+uGP0A9G Pxj9YPSD0Q9GPxj9YPSD0U9f/0K+An1h9IXRF0ZfGH1h9IXRF0ZfGH1h9IXR F3+OvjD6wugLoy+MvjD6wugLoy+MvjD66ut3yO+gP4z+MPrD6A+jP4z+MPrD 6A+jP4z+MPrr64fIP2EPjD0w9sDYA2MPjD0w9sDYA2MPjD0w9sDYA2OPfH9K tQfGHhh7YOyBsQfGHhh7YOyBsQfGHhh7YOzRf89P/35EX7/E+xH6w/TXvz+h Ph95GHkYeRh56vmRh5GHkYeR5zwD8jDyMPIw+Svyb+RzYTlPqOaz5Dwh3+/h PKHKcp5QZTlPqLKcJ1RZzhOqLOcJVZbzhCrLeUJd/Q77Q5j9Hcx+jfkKk//R 12exv2K+w+Sf2N+wHyH/zn5Gfx6R+A0m3kI/ffyFfXJ+UGU5P6iynB9UWc4P qiznB1WW84Mqy/lBleX8oO76sj5LvQzfD1WvF/6beF//vUzeX1Afw/ceeR/P +3H2G7wPp75FX+/D+3bGI/8Moz/zl/wn1xemP99fpD/5DfrD9Od7i8wH9sv4 Sxj92e+wH2W+wPgf9p88f7CcX1T3j3J+UWXauf60w7Sjr5yPVFlf70I7TDv1 BlxvJ4ek3xxtMt+7/nzf8iu/hiZ1GmZLe7FfRuw3a5IjvM97xYhnLXKF7dec Lpb0RZ7w88XpAaGd84V9Z1uMutCtQLj3LPtPDvYpFM6csujgtoHPhH3GHf1q 5dDnwrajk03dv3ohnDi4RqDTNy+F1/Tr7zBkwiutHqzbnJJdv38tHN3h4KFm Lm+EF7eMc6zt/la4qZV5abO5Re9dD77XyXzne5lcf9Zb8iXUyzF/+F4k/Xm+ 6M/zQT2JfM9RvX/MRxh5njf6U68C87wjDyOPPfTHXn39HPIw8swn+jOfYNYb 5GHkmV/0Z36Jv1DXJ8lnqYw884/+zD+Y9Qx5GHnmJ/2ZnzDrH/Iw8sxf+jN/ YdZL5GHkmd/0Z37DrK/Iw8gz/+nP/IdZj5GHkef5oD/PB8z6jTyMPM8P/Xl+ YNYPOa+k+n/qO2HqR/GnrL/Iy/kltb++HtTfEGzqcCxP5Dm/hLycZ1L7m7it aeg9UmMH60E9b7/IF3nOMyEv55v4fm18BaeS2zWuuOXeYsVWO99EfCb1sOp6 y/PKekt9GOsh8nKeVGU5T6qynCdVWf/9EPw//099Gc8v8RbrI8zzTz0k/oL4 ivFh/A31jPgn4iviLxj/Rj0w8S3zg/pi/fygfo54jflAvAxTj8z8IJ7j/sNc P/wv/pn7wf/zf1x/6pOZr+RLme+08//ow/zk+pMPw3+y3tJOPop21h+uH+sL 6wmMPPki5PX3k/wC80N//9gPM1+5X1wPrifXH8Zeni/6c725PrTrv8fwsf7x P7v+8b/b9y7+0+otP/R9jQ/VY+rrKfX1kh+qh9TXO/7VesUP1Rt+qJ7w4/dD /rO/H6Kvb/y73wv5q/WQH/q+iL5e8t/9vRHWK/mekK5+7EP1mfp6S319pb5+ Ul8f+fLlsZ82/tP7WvIDTlvKRLXZp50nxL/p6yH19ah/9v0B/Xkx6if/6vdN /m695Yfq7/5uPab+ex767y3o6y0/VC/5X74e8i9+L+bfXe/4sX7xY/3ix/rF j/WLf1a/qK9H/FB94d+tF/xQPd/frp/7+P2oj9+P+hvfj/pQveB/9e9F/dX6 Rn29ob5e8v93/aH+PI/+e18fqk+U7x3udzi9pGCWQV/PqT8/pP9+3f8C+8B+ HQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlmdzlkUUhnfpaQQSIJCQQgKEGEMgKqigkthRIwJGBAWJIgJKVOyKAioI 3+y99zp2LD9AHXvvMpaxzFhGxzY6Ot73nOsd8+Ga3efs2X3Oc+85530n9PbN XzsgpfS7GCj2EzPEzuIAMVO0iYPF7qJdrBCbRIMYIrLwGUvEYjFKFIvBrA9l 3ecfIuaKQaKk3/pwUcS+ClGGrRybfQ8X3WKYqOy3XsUe244SPWKEGCNGsnaJ 2FtMEdViNOvLxFIxVtSzViOOF71ivKgT41hrFLXYajjD7z9dNIlmxjrOWyNW i4niUtEhWsRUNM5o3I4+GU0Gcw9taDcAnQprxei1QMwXpeg6lHOGoFkxmpWw VoRuZayV8zwc/Sr4phq+twzbSHStZM9ivruStTFoWoG98FyNdks5s6DVZLSs Rqc69K7Hbxy2WrDvBHEi+taja3+9m/BbKybhv5I9DWIPMR39rbfzeRDatqHb gWJf7idzR4Xcbce/k3N2EnuKaZw5H22s9Wbuezcxm3tvFdvEVs6YRkwtvH8m 7+ngXNv3YX8r8e5FDHPELLELMc4gzunYHdtysTFFDs/mrF3x6eR854TzxjXV hd17D01Rq4OIuYtvmYo+hXfuT+wbxHEp6mgue4ehh3VxPZYyL2Gtm/eXMPe6 a/wI5t08e36BmMc+n30Y83n4DCPWuWhoLQ/izvzOBcTgvF1CnBeKRdjdN45O 0bv83EPsi1izzTm8DD17sNu/hrXxnOt5FWt+n2vkfDR1jOvFQr6rCh/vO4bY vO8inkeh6zJ8FvItpfgei31dirpqxnc58ZwqzkpRD64v97UGcQJz+9SzZvtG 1mwv1JLryLXlOprIvhX427YS+0nMbd/EcwNrqznjbOZT8F3Vb30N9ovFydgL 76jHtga7x1PwX0usk4m7lzs5TfRhb0KfRsZ12PvQyPqcib2ZM/uwrybuZtbP YO+52KcwnoOPa+W8FPXiPHXuOj+d1+u5O9exc8L5cGSKXHSOuXbnpKjBPuLw u5ybzgnng+98Q4p7/0vcnCJPV6Gd9XHO9eBfqUb2GPG+K95M8Vs4QvZH+O6n RFWO3vOsdczRK+o17kgxf1pU5+g5N4k/if1yMTpHL3vc78zRYxo1Tsz/98Kt aPKCeDVFjxub49nz7eLTFOe/KMbl6FvNGq/WeJm1yPHseZPG11P0xkmav6Rx i3hNXImGVzgXcui6gHitcwcxtRKX5y2Mm7FvYe6YO/FrQYPtxGnbNnzuE8U5 8tIaPJFChy58fMY14mXu/y7ff45auk38y93eIH4jX24Rf3P/E+T7Aflxh8g5 6vweMTTH/e/g/nxf14lfUuTgA+KdFL85r3Bnvq8xOTSahfaf8V0/iR9T/O8b KJ87U/SF58kJn1+m8aEUdfYhultzx/gRcT4oSnPU2PfihxR9+T1xP/EM0frd KfqFf3RvT9Hz/hA3puh5n4iP0fI5UZejxoo03puiNzhnn+Hb3xZvpfjN+1Vc n+K34h9xa4re+rO4NkVffliU56jtN8T7KWrka/FNit+578S3Kf4Xu1aeTJFH X4kvU/x39t37v6Z7Qm2OPHYOfy6+SPHbaY0bqCPn71Up8u1RUZGjj/wH8DPb xQ== "]], Polygon[CompressedData[" 1:eJwt1GWIlkEQwPHZ8+w4A0URxTPOQ0/sTs7GE7tQ8SxUjFPsOBtPMOHO7u4O xG6wwBbjg93drf9h5sOP2ed9932f3dmZje6R1HpQhIi0RySO4jNaYhzmIGcQ GU4sieeYiapohGP4hrZIxhpEML8nsReO4yc6YjzO4jLqYCo2IBPz+xMH4DxK 8JxCrIxNuIjqKIczyBxs7hS8xSxUQ1PMRR6+H02MxWlk4LkvcTLWIT3PfcQ+ y8t4N7G8v+MU0gVb+ySchPCcSJiIw5iP2v7OE/iDLpiAI/iABIzFbGTn90OI MXiEGaiCBijId/uJFVETV3wPsZ6jAny/j1gBtZCV5y3EwUjCSzxAfTTGQ9xH nH+Wg/nbiMMwFBmD5VBz1w9Zgp2JnsVAfPQa0LNvjl++R91bJ1/7UzT0Pfz1 HGluuiIyWM411701dcFyqrnsjmd4gjL+H6m4h3iUQhquoS5K4z0W+lqa4TdW +rs64xMWoxVa4AeW+1o7iNXqazQRq9nvYjWptdjOa2G950Jr4h9W+1q74Tpu +Flo/WmtbvRcac3ewW1fez2x2l/re9ceeINXKOtruITN/l81UIT50cF+qzVQ nHGxYHufhnMoGmyc4mf7WKx24jyXL8R6UXO6C7mYP1KsB5Z5TjQX2oOrfI+6 t0Ss8JxqLrWGF3jONdcJvvZ3Yr2le1jkOddc6x2xBF/RRuwOmCfWI9ob07Fd rAa19vQO2SpWw1q72hO3cNPzoTnOHezO0btmlO9lp491T1HBekp7SWv6i9gd lOw1cEGsB7X3tEf1bogJthZdUzbGO4gjxHpoL/IHOwvtsas4hEpiNbgH+YL1 pt4RB1AoWC/qnMLB7iy9q8bgLg76ON5zs1Ss1jRH/wGtAKQb "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl3WUVlUUxece7O4ubAQRMZkBBiQFhxgapIZQQRgcGhSGcUBCRBHEQVEM BFvsAhQVO7E7EJbdnee3zn7r8cde58V379mn9n1f7bLy0pFWUFAwJxUU1HJ7 hdvljpscC2WXOT511HEc69jgOMZR3/GR40NHXUcrx0mOkx2tZU9xNHcc72jo OE32BEcL2RMdLWVZf4ejgaPY0UzXrG+j/U51dHQ01W9OdzRyFDrayRY52ss2 dpwh28TRVb7x2Vb7sb7TZj47y8K9VBbuXWRZv0ocOjgqHAMdZY5u2pt89FAu 4N5TFp+9ZOHeWxbufWThPlj+4HumnhFHP0eJ/JaJKxxH636QUKr1a/T7vo7u 4gWnIdobvo/p/QjH2eIN33Nk4TtMFr7DZeE7VHuw91myrB+pPeFbLtvfMUp2 gOM8WXJ3rvYj1jGKgRzc6ljsuEp2lmO2Y5xiwP94WfxPkCWOibLEUSke+J8m i//zFQ/+H1cOLnBM0TVxTJVl/STtRz4my7K+SvtViOME+a9WbYhpuuxYxwxZ 4rhIljgu2cz/hdpvtGKeKP9zZPF/sSxxrNXauY6Z2g8e87QfcVwqSz4ukyUf C8UVjvP1jJgul4XLFXoP9wV6xppFekYcV4sfvGrEY5bqN1vvxqq21O9KreN3 T4j7Esc1uiYf18oSx3WKAe7Xy8L3Bln43igLx6Vax5plekasyxUP3DO9457e ZLbQmBV6D8dbFA89eLOe1Wi/ZfI5QOvQkoGyzOdTjttTaFk2V/Ql2omOoqdP O+5MoXUvOx5IoUvPOO5KoZvPOe5OoZUvOu5LoYmZ9qEjLznuT6FrzzpWptDZ 5x33pNDYVxwPah33aAKa9WgK/W0qrmhgsTg1132m49y/6ngohc6+5ng4hc5m Z0Ar8Wujezi11X0j8W2b8vOAfXsoN8zwC457tV92TrQQv46qU6atPXRP/fqJ dyf9LtPZXinX8VLth3Z1FT/26J5y3e+ccr3uKd9dtT47Y9rpGb08WPsN1X2J uPRN+TnEmtUpzo8S3aN5fbQvewwS7wGKBx5o+8CUnxO9U665Q8V3kH6X9R/r s5mfl3Idz/TwMr2DH/o2IuV6PTLl2jpOPtHI4SnX1gkp1/TylGv6KMXBnI9R LsbpHn7oWUXK9Xq8uI/Ru0wfp+t36EyVfKNzk8UVTUPv+Cbh26ROynV5Usq1 vjLlOj5FXCt1j79q+cg0ulpxVGn9OdpvovJaoffZWTgs5To+Q79D62alXK9n p1yv54g3mjZXPtGehVq/SPf4nq86ZVo8X1wX6L5a6xYotnnaFy5Xai/yO1PP qDcaulQ80OurxAPNXaKazNKa2Sk/ezMtvkbveVYjn0v1LtNitPk2rcUH35D1 HEenXLuvS7le3yB/NeKdfYfRy79SAwvdQp/WpdCnd1JoK9dPpjg/4I/Woqfo FpqKhqJb6CLaivagi+gpuoK+opXoEJqKhqJVaDA+C7X328oT3wlvpuhB9A/t Y745f99SbdeJH9zQ1ffFHd1FN9GP9Y53U+jZ6473UmjCKr3jOd/WnBOcEWg/ Oo5m7+D56G/B90dHXwu9/M7R1SKeLdx2sYh1K7fdLfb4zXGuBY9t3PayOBvK 3O5skSd0lzMG/f7FMdQid3u4HW4RN2vwiT6j9egR+neev9/P4tvzZ8cgi5zu ZOGD/Xdze7ZFPnZxO8Qi3z85Blj43s7tmRZc1ihHJarDWtWikepEjdDVD5S/ QuW6SLW8X789RTXm2Ubl9jjFcK/eF6mujQXONf47fOVoa/F71n2ktdRhR9UC vtuLMzHtqriIdXfFS/72VA5Huf3D7SMp6rO1asQfs70tfPN9/kYKnX5X/dR0 s17poP5apx6j1+lp+jmbgYZaw/ti9eXtes+MMqt8a9O/9Dc9/KZ8j1BvrpbP E9WL9CGzyvfQCuV+vTg9rJiaiPsa8T9JfXOy+K3Ufovln++sKo/7T8VZo2f4 +MHR22IGvnf0sJjhCrd1LfpjvNuDLGIY4/YAixgmuT3E9I3s9lCLmaaGn6iO X8DX4izp6PbbFNpxhl9/k0JTSi1mjPkay28t4utmwQk+gy1mhnkZZjFvzBpz tq1mjbMKTUQPPxYPZv0sC71Dd0b49e8p9GWgxSwxR9P8+usU2neEX1c6Nvl1 gdsSi3pjk67h3sGC/7+Odha1b+G22PE5NbDob/LAs+Z6jp/2Fr5muK2nPDez yBe5muDX9S36ZTLzYdFHU9w2sJjXVm7bWMxctdujLfr1S8dpFt/BrS3uucb3 Bl33tKg9de9joXfoTj8LvUArjrLYlz0XqR/5xt/Hop/opSK3LS3OoVPd/q3c 1/Hr6Ra9Sx/NUIz7ur3Qou+p82jV2tx2spixvSxmlX6nVuUW9TrSok7krdBt Y8dnKXIzUfkhZ+OUN/J0vnJ1ukW+NqpW/6WoF5qzMeX/GTZs1kfsXU/2U9Wl tkXf0/PE8VeKWA6zmAH6nzhqKRb6vbNFz3NubGkxnwdbzBUzdaDFXDFTh7ud anH2/uNoZDFLTS1ihsv+FufBGs3ZJvUY+T5GOd+gesP5f7cQQis= "]], Polygon[CompressedData[" 1:eJwt0/svV3EYwPHzeSKX6CKRSMm6ixHKoqGty7SM1Wq1WtRYzW1apjH6hywh pOZWlEuUihTDmsvfUJH3s+f88N73dc6+O5fP5zkJpdXFVeJ5XhYFUCMHCTTo PO8H1eH91I+nqQJH0mv8hR7g7dSJJ+gJjqU+/J3u4lDqwON0H4fRK/yJbuNg asdj1IwT6R1+T2V4J3XhSXqEI6gbf6abeCu14VFKw3vpLf5J1TiKevAUXccB 9BKPUDY+R0n4N13TxaAX+ANdwhcpGa9QBj5Kw3iO8vEFWnb2nzU6y/EivyfJ 4UL66OyaB3EDzThb40x8nL7iebqMr4jdK4X+01WxZ2mhPJxLp5zd8wxe53eJ Fuivf029Vi/98Z9Zn1XX5BhOpVln73BCbM10rfQZDuEmsb3XPcjB58XWRu+Z hE/TL/yNirBQq7N33IKLxdZWz8Xhp2KzoDO0Az8U20udmXBcIjY7OhO7cLnY 3uqe671ixN5F76nPfoSGnL1DAd7w10bP/fPXRNdC92A3fiw2qzozgfiG2Kzo DGzD98RmUWc0GtfQG2czsw/Xir2rznQWPkyr/po/x+lie6Xn9uBKsVnTbyQe 14t9OwMUgu+IfQs680H4ltjs6ww/wwfE/qszsgluTHds "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVWHm812MWvv3OIesgZOxTDNn3FpEkKVupTFEGaSFLMrt9HRGNSou03KvF ragp5ZJKV5tKo5QKTSVbhRYKyWiex/P8Ps38ce453/f7fs/7vud5zjnv/dXo 0K3lHYWSkpI1VUpKAvoR/LkqS0qew2A92E9CPwu5APbT0AMg9WH3hO4HOR/2 U9D9Iashz0PKIMdjvAd0H0gd2E9A94VMgrwMGQe5EOO9oAdCToFdBbIK9hnQ AfkY9gv2ORhyEcb+UdDezoH9KfQnkIthPwM9CHIW7ISshX0S9E7of0OG28cQ r/0ipBwyCjIMUgr53Hsvvivz+qOthzsOPCvPPBIy1N+P8fsRkLHWfP+SNdcZ b7/0N8HfcO4/PTbG3w2x3/WO1SuQdd4Xn5tiD5eEfJ8GXYCscTyJD3Ga7HNy zQ328TrkDWPA9196bDpkqsdehUyzroBcDp+XQSbCnmI/k/x+vPf+pv3w/df2 NxMy2+9mQN722Cw/T/FeNnp8LqTSY9zLHM/j2Dx/R3+bPXd+Qbwiv8izTrDb hea+B1kI+RdkuZ+XWDj2LmQZZLHfVfgcxKQtfLSBLCqIb+QmOXoD7OshS2FX h95u3z9BdkA+hNQK8b63n9/3Oswjcp85wNxhPjGvmDvMIeZSq1CMFkCaw74y hMM+IfwY34Nhf+/9VzHm5HSY7+QMc4VcJXeZB8wP8pO5srIgnjMnVnluwXk2 xLGvdNzpd7h9fVYQf0sLu/KBPC7ye6y/H1H4/xwY4z2N/J93Y/z9MPvkuy/s Z1RhF/+meh5xGe/vJviZ3J/gNZgP5CN5Sb5P9vN4+5rsbyr8TC5X2Be/meLY TvL5p/ibqX5+0X65zlfeW4W/Iben+5sZfi732uOMQbl9sEaxbrF+EdtKr7Gp IK7zmRwnf8kDcnmB7S0en22ekPtzveYcj8/03Lne0yyPdQ7lxrewj4WuAfmh oDxgPrxnIZfJ1e8gWwvKn8UeI48Pwnfb/B3zg9+Sh8yJ5fbFeeT9B5A9QvWU Z78plDM/FpQrH3kOObbG3GHzYZ0mJ3cP9ZIyx3S2z8N3q/zdQu97sb8nh4u1 mJwvtf7U9m4hHpd63lrPrRriH7m3V6jOEuu9Q/WXHNnucy3zPqZ7X78K1VA+ f2OciMcBobpGLG4LYVzpd1t8nsMwvr/fHRiqa8R1v1ANJXasC/Xdg8m9fV0T DoeuFvJFPLYZC9YGYrvI+93hOB8d2h/XPwL2Ia5f1cyLecZ/u8+40Byg7yMx 59chX4zTnu47J0L/DP14QbjtND6rjWURK9apIs6sNUWsWLOKOLBOEYuVxqnY i8kDcuAz40SM1plb5FXNUP3lWdcbP2K3wfgRO+LDGsp8PQb6P+ZfMV6M1dfG kjjeYZ4uN1bV3FMYA37Pb38Twmy+48TcKOLAGk3f9FE9dsWVMec+bwlhUN2Y HG4cN5s3c83Zo0LxIPb1fH8iX4jlHONcw31qh/f3kdep6bUY+1PdJ+jvt/ZJ X3V8Pzs35J89qTv0ne5h7GXEmPjW9lgfz6nl8U3eE/dzgsd7e7/nuueRFyeH uEDMz4xdmJ/t/kTftf0tOXK6e1Ld0D7pZ6NzY6b3Xtf7IRbHGQ/i1M599LxQ 7rC/skaxf68o6N7GvsvcahCy+3usgefz/sR7Huc2DNkDPNbQ83kn4H2LcxuF 7IEea+T5rPW8Q3Bu45DNHsD8YQ9j/+K9lb2Bc5uE7EEea+L5Ezx/onVT261D /YB9grWhhesDc7SZ85RzL/X8K0L3OdoU9sIJ1hx/DfahIV+sN11D717zORr7 jB1DvuiD9Y397K2CdHPbLWxzP9P8jv2OY1d5Drnc0nlAzFqZ/818Ru6fnOpu /vF9a+cd9dW2mQNtnHdLbPOedk3oPsf37UPceAd2l9C74ndtPZ98Oc+5wLnt HVvq62wvNZ+WuFZcb17Rx7X2c6P5Rvvm0DNtjnXw/N/bP/dDfDo6nly3k8dZ mzuZ18TiVuPCvO/i/TOuxID9hevf7LWIG7/hXeVW28SRvZg1iPXnd44nz3W7 /RCXOx3zx33GbqF6xrPyeblx5zesAd08vsL77ez9d/V+K5zj9Muaw7VZA1kX Wb/ZY1jDtkL/IVQHekLfm6q/43n2VC1/mWdM1fiN3KPPtQn6Ce//Gbx/x3Gf xHVTNf5H2OvCdRVjb5sHPWDPdTwegP1UqKY/DXk0VdNnQR5J9YxK2A+m6v3d 0PekePwX6LWhOt4L9oIQzg+nfNHPm5D7Un1jG+xPQrWLaz6UWncqZPcU/q8y Jqn69w1j49g+C12eqvt9IKNStf9JyMhUXf4W0te4LIYenYr3QOhBKZyeS/ml zx3QP4XqaQ/I8FQt6AX5LtRz+mKsT4pH7zJXUtzYDHtaqB5Pgfw51dOWwi5N 3RV6Qw9N5cCQ1P64t79Dl6Xq1g+Q70N31ZmQ+1N30qrQzzsm7aFHhu4CxGR2 CJcrYDdL1d+m0I1T9ZrxmxyKIbnwSogPxGFGCAvu9/XQni+CfUGqH7SEvjJV +xaGzsD9T4dsCeViG4y1StXrcsgNqZzeCfk51Bv/hrE3QrVucAqDzo7xqlCc GYMPQnGYB+mZymni+XEIU/KiquPwPnMo1NfnMBdSNfFLyIDQHZM8fSvEVXLk 8xBPNkD6h+r9o+R+qu+UQFdJ3bluhB4dulu1hf1C6F4WsDN1HxwcyivmFPn4 RYiTe8EeErob1oN9TupO8FiKT+TS2bBPT/XyA6GHhe6PDTg3VYtPhT4xdT+Y z5xM1WLWgJdCdYC1YVyoPnzInEvdBSdCuqX6zQrItam7I7G62ni1Tv3mxT57 L/QpqXtFbej7QncP5s2iUO48AH1+6p5wP+y6qX4xIhQXxmR4KF6MFbl/V4j/ S6D7he6ghzB3U/czrnNWai3GbM9U3IY6jrT3gd479ZvWH6HXhO5D1WAfkPr9 7DDoQ1O/CR0BfWTqLrUSclPqTvwYpF3qPv0V8yB0NxwTwptYN4d+ONTrL4X9 UOg+8yB0o9T9p2EqFowDsa1jfJl/lzkH6ePylB/6uCTlh3nZxLl5ccovff6C uXG/Bnp56H+AQmrf3PN1KSyJ46hQLWAduCV1Tp6R+drCOdsdenXofn8bYxn6 f6B+Cr9fftuEfaHzfbdUPWIOdkjxiVzaD/b+qbtsqflKrq6HfU/o/5b+qT7E HnQS7LtDvYw94U+pvnBGimfkGLl/pvlPjp9snnOPXVP7JH8HmMPE/K4U7p2g x4buYcfBPj51nz4W+pjU76AHQS8L/T/WEXaX1D3vBOhaqd9QGZvbU/FhL/pr qh+VhWoB6wDPsdVnISYHp3Dpl+rB7L/sA3ukegHX3De1bufUPM45Gvqo1O+7 NaBrpv4fYPxOS8Xwv2YUIcY= "]], Polygon[CompressedData[" 1:eJwtlXm0llMUxr/es6OEBqVZXZKbJiqEtAi5kqXuUgolN0OhWogyLBaLolDd UhoUiWueMmSmZazMtRYLkaHJlKHBUPye9Zw/ft+z93ve77zn7LP3PmVV4yrH FqVSaQoE7MtPC+iaSqVvGGiJ3QYOxV+Hfxc6FRpBS/gCzmf8VPQ86Ip9L/oD 79ZG18MHsD80he3wKpRBO2jL++2gO/a3/Gdv7EbQGX8t/gb0EzgAmsFZjC1B NzC2OzobboG9oDn8C1thH2gPr8A/2W4LH8E8aK13mWMmWsOc49DP8KdrPvzB 6Er8q9CfYD/4vvB/Z+W1tM57+zjPpT1uhE3Je/+SZ9PQLfnbK/DnotU5Fq0U J5jO985FR+kbMAV/KHph3vunsLNwDOoxNh79D78juig8p+YaDX/BgvztA7Vu xiegKfkM52h+aAAtoCHjV6C1kmPeHP9KtEjOgVUwjWcjktf4M6xJeW64XGuB DjBD3+TdDnAY/ndaM/ZE7Eg+45eSc0i58zvj69Bl0Cav6STer4BjtVbGb8V+ D/tMGAKX4T+jdTBWH+2m3IRq/J7Ks3BOKZe64XfC7hhe2+HJsSgLjykmnbG7 hMc0R4NwDir3OiXHohX+ITkmO2E+HAzlyWdRP/yuzqQ7do/wWmbiHxSOiWLR Q2eKfQEsw++vvMVeiH6lItQ+8e9D1+PXQZfgP4/+ij8mOZbtw3Mppr/lnFGu qKbmM7ZA38D+o3Buf4j9d+Ecn6d8gVWF3xkRrmHVbj9YjP+kcp7xi5Xj4R6g 2lcMmoV7hHpDF/xjsHtDL+w7eXaczi5s9+ZZf/UG6KNz59kA7NPC9gk864V9 NMwqPEdf7BNhduEc6Il9JByV/M4p2P3CuaE5+2AfH/6W/rMIbRyO5df4n6M1 cDLUhXMYezDvtQKO0NmHz0rfCOza4XfVY1QbTcN7VY3cD8PCZ7OR8cHYZ0Bf xRZ/IHZleG9z8Qdhnx629c5DUIW/B7qJZ4vRofi75TOfGu4Jo3LOV4drXLU9 EhZi3x3uVVX4k/OZ6ayUU+8m14xqRT1kG+xI7rU7GH8KHaszQAfADdhvoFsZ a4zehP8muh2/CXod/mvon/jbYFeugfJc88qVzcm9VzmzEr2N/5yNDk/O3R+T e41yeAZ6R3hMOXgt9ss5V3WnDMd/IMdWMRqJ/3COVT3tLdeEamG5zgf7Oexf sBvm2lwNuwrXaF3G9wz3StVYHZ11OJaqiYnYL2JvKXxnvAOTdGbJd0B5+A5Q 71dPe0S1Eq5d3XlzlKvhtQzMsX062VaMH4XR4bVv5p3H0Uu0JsUFfyl6qXpO ck97Fh0f7m3a0zX6frhXVib34veTz149+QWYEN679rA2+Yx1troT1VuvDv9X PXZy+E7SXTQIbYJ/T64V5WAt/CJ8t+oOr8k1U5FraDncGM4N5czr6PXh3FGO vIXeHM415ZByYYVqJjknbg/fsbpbh+VYv528FsV8DP4TOTaKyUX4j+XYKWb/ A2S2CCY= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm812MWxy/9nucXYYSiLlKEhMqWPVmSnWQd22RJhuwxYxbrzDDEyDBk xNiFkKUiS4sUlfab9uW2dyvt2nzecz6/168/Pvc832c5z3nO9zyfc76/27jT rR26bltRUcGfWpLfpYqKYcLBwm3Cu4WKio+EI9V+R/ID4U9qny8cLfxFuEA4 Rugq9Nb4h8If1D5PaC3cIbynvr7CRLW7CX3U7iT5O+Fc4S7hffV9LNyvdgfh WGGwnvsJ/YWH9dxROF74m3CRcILwrcY+F74QBgmfec2DGrtQOE54TDhJaCP8 Q7hYOFEYYt0DhGtTrP1GGOo+9A6z7oHCDGG8MEEY6f2wcbjwpfCVcEMKHd8L 44TvPP6DdbNmrPUyNso6sOVH782Zxlgy7yfpnCy0FapS6MaGqZ6HvkneA7uq LEd5j4G2b6LtYt5kj49GvyX7T7M+bD85xXmnC1M8zn6rhG00ViHMtC3onm07 2L+WxtZIrhXmeT32zvE4+8+1ZP+lwizrqHYfa5YUYg/G5lsHNi6yXbyTxZbM q7EO9llmyT5rvIa5K7wHdv1sie5fvJ51y72OedN0lqnCacIUYaF9sNb6sHGd JedYXYg57HdKCjsX2sdD/I7Xe26NzzbRvsOvq6xjk23FxnbqXym5RSimsHVD Id7BStuTU+hlbNsUOjh3IYWt2JhSSObVTqFjo7BdCsmedVO8P9ZNT7HnDpI7 ul3huctt30w9zxDaCzs5LjjHbyyxZRfrY/9dLbF3Z4/Xsi0l36/2GVi/m+dy 7vop7MbeHinsaiA8Z/saco+FekIT4XOv2VfoZZv2FF713nsJPW13Jdxk+/YR +nrvxnCbz9BImC3MEs4QDhMOEQ4V5gnVwpnCXOEAoXmKuwcHcBfh129TcOwi 4SvhZmGzsEmYD+8Jg4QDhcOtuwU+tz7ab6Z4T3vDB8IIoWUKHoan4Wu4FQ7+ tBAcCwfDxXAwXAvnws9wPFwPPx8lfFII7oRr4UC4HL6HH+F7uBnehKfhV7gS boaP4Ur4tY3PzfpvHfPXpeDZrwuhCy6EE8k15A3yR3/fkRL3D/a8AdbBGHsM s96BJb8WIifA6/R1TsHFI7wHnPe9dY30c4kjagplzv3Re47yvCG+t6XnKt/T oZ472rom+Q5jx1jrgrPh6/Hem/EJ1jXZukr8O9k6ZpsPWA/XTbG+aVs9w1fV 3n+K17MHHDjde8z0c5XPObtQ5tw5tmWW5+G/cd6nnu8Zd+wn78OaLnquI+yR Yh3ctcT7wXMLC2Uu5hm+hCtXeo8lHitx7grbVGNd7LHc76Pa48utFy5YZb1r /Mw4XLWxUObftda13s+npuDfBd57rdez5y+ex34b/Hx6Cp7dXAi74bEttmOj 5/EO5vsc6Kpl/kJ3wTwGLz1jX7Gmtn1a4l/msTeclrx+Z3MTdjCXsRKHwk0l jq5tm+A6uK/C4zzDwdP9nmqZH9ALNzbw/BL/7uI9dvMze9bzc8Hjdb1ffY/1 8JnQf1OKmNg9BX82tA1wbKVtgmP39Bl6m6vqmhuox6iX4FH4D66Eb/exPXB4 Y9sDv8KzrVLweRPbA4/ChXAivAvnHpSCQ1nTLAWnwpuHGodb1wi3WQ9HwXXw yvIUnAk/AXgPHiIvNLJfzk5RE8OzjFH/wlsAboSr4CC4CA4EbXxexo7znnD4 Xn5H8C88CAdekqLW405fKXlpiji+SrgsRYz+YkksrPM4d4Vx6hTid7XkKuEJ 23tWirwAx5+TgucXp8hj+H+ZsCBF/roiRf4gd+CP81LZH+en8rkvSOVzd0jl 8124lV872rfkBzi65JuL7R/qzEt83tGSj291ZiQc085n51yD/M6xeYzwW6Fp ivt+pddhfyefYUWK90ruOd1+bOd113jtzx4nV6z0M/ljjSX8fX2KHEb+WuE2 /rkxRb4Z4bWdPWehfc89ecqS+/P7FPeHu7PQ7e2Fyz1G/y0p7sV+Pidt6oFF HmvqWOnqd3prijZ5FJ+dbL/RxxixenuKGCPfj0/xvUcdQh1AfUBtAKgJiMc7 U7SpG/Djvan8TXen9VBL3JOinrg7hR7afTyGbsa7Od7w2R/tN2LqvhQxRSw8 muKeEFN/TeWYeiBFTHWxP+s4Bv+cIgaJtYdSOdYeSRFrvId/+l1c6rjCL8Tg 31PEIPbe7TPim9vtw+7ei/fyP+HlFFwGh/awDaX3yvt62m3e739ScG5D9/3L c3Z0PzqesR54+Vk/N7D8t/U8Z130v+A2OuFTeHYno6d1v+h2pWPqSdvPuuet p6fnoecltyt9vl4+Yy8/V3r8v54Pn+CX9vY/vocHmPuK58PPX6TgaLgejoPf yAWvWf8bbsN976bIDY3c97rn7OJ+dLxlPeSPd/y8t+Xb1tPbuuh/3210kj/I K7safaz7A7fJNx8Ln7jNuvesp4/noecjt0vz0dnY8mP3M/6h579p+/byuV51 +1PPb7yVX3if9e078hq5r5/nDHAbf36d4nuhqfv6e87N7j/QvkcP3ztf+nlf y4HWM9a6mnrdN14LF5BTmxuD3Icc7HY/29fEaxiDn4Z4Dn3j/Ey7hXW2tBzm NnOHWmfpzLyrq1PwIPeldVG5SljqdcO9lny+xTbOdZu8T07ckKJ+m+7n/3+v 5phTWscz86+SfCxHDrhGskExfHG92nsWwz7q2PUpaln2WuzzzvBe7FPKx+x7 pNbdneMM9dV+Pgdfb/K+pVpko31DvuXbb77nbPZZ+BablCJXr02Rh6rcxxj8 Sj/fGOQdcifj1P7f+B3g/7aewzhnoFagTuBs4+3/btb5iX21KZXrqE22F99P sP/xwZIUdcNNmt9E5xxpP62zr5Z43v4p8ir59zPXV+TOT50LVng8SccFOe73 RsmzcvDTtuo/LwdnrJQ8LQfXluoJaokF6rs9Rw2xXvKMHHxZR2svynF3t0ie k4PLZ0rOypFvTpBcnKNmOlrythw+Wyq5LAffTZGcmiNnTJecluN3xDmSs3P8 vjhZsirHb5PEE3esqf2BX/gGIZ9Qj5E7qFdrtoqpGvuKWoPagzqE2Fjmd9Ha PsRv13oOea3ac860bji6vcdXes4axxBxMsPzmNPd87Grs+ffkMp1D/NP8Rmw f7L1VBnMoS4ivsf4vNTU1NZHCD+k+G2CmHmYe5Cjdq4t2SdHnXCD5LU57O8p uU2OOvUpyVo56tQicZEjRx+hd3qz9STJl3Pk6/aS63LkubMlN+fISR0ki8Xg 9PPVLhQjZ5yp9oYcue1UyZ9z5Ol2kqtz5OBzsacYOenkHHwEF3VUe/ticH1B 7Ydy1FdZ8vUcddF8yWNz1BvdJZ/M/m0Fe3PURC9IHpajNn9A8rgcNWx1jlgk DrfDTznu5sHas0GOGvYDyXdz1C69Jd/MUZMRy8c7no+S/DxHvXWQ1u5u/a0l 5+aojV7BBzlqxDe4HzlqoLaSy3PUEPtpbVPhR7U7qe+KHHf/Usmdi5GHiFX4 oplje57jmdif6vip8dj+jtcFnr/ZbeL8EOuBc8hNixxXt7hNriMOf3J8jnCM EW8THHPE22nel+8F6n1s5/sBnhrl+d/7mTbfDXx7UCderHPtWIyagDqKGr2L 71m17eQe8bsnnH+j5jcqBkfiF75pD/DecCG/XTyoOSf63V0uuWsx8nFXtY9w bDzhvbb3OdFD/b/B+7EX+QvOIPfhz8V+Zu7sreaTj8hNq7y2jkHfDvbNNL8X 4uUOx8wabMxRk34m2S9H3d9S9rYS5qhdW/LCHHXWvZItivEt9Sz3Jsf30Es5 7gb3gvjq5RiDp+eZq+tq3WU5apwjJR/P8T+hW+FR3/0RksNz/F/oB8mROb4H sOXKHPbAK/ACnACX3Gc+wa/d7du7cuRm8vJ4tcfl+J9SD8mnc3zbvZqDU+CT vTW3c45vpJaS+xfDt4fnuLfc2T3Ud3WOWmqAZP8c//tqw13MwbGVmnNdjnpo J7UvyVEDtuKsOe5CC8mTcrx3YpeYpjbgLr7m+9hYa7vkiG/u3z2+g7vh+xy1 3qOSp+SooQZJDs7xjYTt9Ww/MQiPEIeP5OAXuOW9HDwLx+4heUiO2ICT4A54 o6Hah+aIw2H4Jsd3Wk2OM3Pe++nL8f1NXByUIzaa5fAjNgzFHzn+f9g8hy/w A3z2vjltIGfK8X04UXJSju+6MZJjc3zvwXlvm/dGS47K8X+/ryW/yvG/ysoc /sW38G7fHNz7Vg6+hqsXSi7K8X1IbnkxRyx9lCNXkaeOycHLcPKvKi0l8w== "]], Polygon[CompressedData[" 1:eJwtlnnQjmUUxt947/MWEZWs0WeXmIZBKYUS2ZMlRDKJmKgk+y7ZijZRkgpD JbKFbIUkO0kpJZq2Sfu+qN811/fHNfM7z/M+z3vf9znnOk9e70EdBhbIZDLL UBZtj0ymKLopZTJj0GZ4I7oCHokeheujEfAdaD18LmoHD0e74PNQB3gcegMu jNZm/cztcN1cJvMtXBVVg4dxrTt8EB2CD6Cr4YmoMXwaPQIXQsXgg+F7N6O9 8G50FTw+ee070djkPVSHL+Q/NsOV0Bzip1B/eID2AJfh/jZ4O9pCXAS1h0eh d+C3UcPkd14G34lawjVQD3h4/vpPodvgkrxvC7w1+Sz2hNemM/ke/g61SN7T dLgQaquzQa/Cy9AqzmsI8ZPwE6gv3A8NhWvz/pPwjeixcE6Uiz7oJfhlNDj5 HcvhFeF3rSZeBa8M81CuXQc/gLpp7cm53hreu3LeHP5Fa4BnoxnwINQmf73r lFvUAB6GTuq8UWN4GmoD/4sWwC+grqoP1r8O3oC6qH6IV8NrlVPiIH5FZ6Ec EhckXqK9ac/Ev6M58NOoHZzh/kJ4MWpF/BeaB89H3eHzub8xuQZGEtch/iI5 h1r7hnDtag9vwjvCtX+lzgxeEz6rNZxZAbg6zx8lXk68kPhF9Bp8L9cWwYvD vJJrd8GX8PvdxHuSc/16+KyU877wxdzfqVpDH2i9qBM8GR2Gi6OO8KTkXhqH bk3uqcnwg+G1KScL4OeVo+Q1NYN/RLNUK+hT+FQ4N9cm99p74Xer59RL+9GE 5J5S7b8b7mX1wH1wTdZ7HG6G9oV7Ur2oZwbDtbh/IrnG7yGuQXwMboKOEX+C psDXoCPwh+G9NkLPwfNVs1nvYSm8JHyWqml5zaawF8lz6vPu+/Pr9zTaFs6h cjca/arzRaXUS6g0vx9FfFi5Rn/A5VFpeG5ybbUIs2psGjwCHYJ7JZ/l9eq5 5DNVb9wQfrd6RLXXEj2bXIM/weXkCcnP/A1XkOck/2Zu2APlfXejEsSPh3t5 a9a9XoO4cnLPTxFz7QDcE1WRl3Kta/I15aYU8VdZ5+hS+PKcvUkepdqvGfZe 9YB6v2n47HSGyl0Z4jNZ51Be3TvsNfLscsSjVTPwjuTebE+8NLlHs8QVdebJ 1z4O51y5fii5lt9XzSbXdI7fV1IO4GXoAvgEmgp3Tu6Fj8LPqifkhQ3Q9GRP bKi9oi5wU/QN/GWYZ6DPw2eqs9Qzn4V7QLWv/ziH/++o/oVXoArEY4iPwLuS vaUt8aJkjzmLOE85Tb6m2r5IPZJ1jcvrWqsHkz3vjPoflU2+Ju8YSFw/2UM0 i5qgmckzSd7XIXwW8sAf9Gx49uk38s5biNcne6hm1VvhWtfMKsb9qsR5yb+R t3aWPyR7rGrvz7B3qga1tn/CXqk1qlanhmeBarYSz38dPsv9yb3yW3gWqGdU C+Vz9i7VhHrt57DXqOdqwePVM8k1OSQ8gwfk11vB8AzULJF/6Wz/C88KnbFq I+Xs/aoR7a1ozrNCe1Su8nL2VuWsDvEzqBVcL7kWC+Q8G1STVYgLE6/U3lE1 4uI5z6KKqDLx2TnPngrJvV8q51kuD5B3lM35W0Eecjxcs6pVedrDcL38/fRG Y8PXxPJs9WqjsHeqZ0uofnLuffW4ZkV/7u9NnhkViQcQ70u+Ng+uG95ba/VL znvQ2jepp+V9Ya9VTxTJec/aq2qgUM571N5U85o9/cK1rhmkb6E+4d7WN5G+ ZXqFvVLfNLXhCah5skfo26dn2BvlLzPhWeFcqsYnwpPCa5Wnlw57mLxL7yip 3kY9kmtErJpTremaemt2+NtHPXY0PDM0K+Qhmu3dwnvXjO8U7mn1snL8P8j9 U/M= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0tlaTlEAgOH9q1CSKUOl+FGduQ3nLsEFcOYmkqkyZJ41UGZFZAyRQhpQ piSVyhyV3vX8B+/zrT2s/ay99o5v2LR+YyyKoirWEsYppDKXBSwmi1zi5LOZ GtJjiblztDrM0a06T89ohp7V+bpNF2pteK6e00W6Xdto5wWVPKGJZa5f1KV6 KaxDH4S16FVdrnXaywrja/qM55TylNXOr2EVD8P69ZHmab2+4jUltNBFN53h fd2zkh7jN1wh2/FlzdGdukQvaKaeD/ulO/QxFbykg1buk+b6aZ2tp8Je6z2d pSfD/usJnal3NVmP6ww9pkl6J3wrPar/ORIlPt5tmeIwExxiklv84yDjHOAv jfxhP7/Yx29u8pNyvrOXH9zgG3sYZTdjNNDMLq5TRqH1FFBs/JURBhlmiC18 ZoA++vlEER/4yFve844vrIsS/+k0t+Nhcw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{297, 296, 300, 580, 571, 572, 570, 574, 573, 489, 576, 577, 575, 579, 578, 490, 582, 583, 581, 585, 584, 491, 564, 640, 549, 569, 509, 567, 508, 568, 488, 299, 298, 297}], Line[CompressedData[" 1:eJwl0lkz1lEAx/H/YysJKUVZnzQphWjqrjeQpaxtJLQpS2hTTxmFKy+BQknh Hbj1cizZkszIZ8bFZ75nfufmXJxwS1d1ZygIgjHKHa4xzzYvooIgjU5O0MVf e4ce5zmptLNlf6bHeMpR2vhjf6IpPOIIj9m0P9RkWkiilQ17sybSxGEesG6/ rwk0cIhG1uz3NJ47HOQuq/bbeoB64rjFb3udxlJDDLWs2Ks1mptEUcWy/YaG qCCgkiV7uf7X67qrZbqoA3qWEs4xSD5X+Of+k6ZTSgFDnOcqO+4/60kuc5Fh LtDDKbrJoJdCXpHJS7J4TRFvyeYNOfRRzHtyeUeYCJf4yGk+kEc/Z1jwpjG+ 8JVxJpjkG9+Z4gfT/OQXM8wyxygjRGinIbT/3/YAc4tBWA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0MsyAmAYx+FXuRFb0lQkRM5ySCenvQugYWecmYkk1mxclEuxrTwzFs/8 vvnPt3rHTs6apyMRUaWVjGgnIgace3+PRvzoF30GDLngl0sm/EkxTppJruxZ zZFhmimu7TNaIM8cs9zYi7rAPCUWubUv6wpLrLHKnX1DN1lnizL39h3dZZs9 KjzYa1qnSpMGj/YDPWSfY454sn+6wQfv9HijyysdXnhO/N/sDxmaIj0= "]], Line[{758, 717, 721, 725, 729, 731, 765, 917, 979, 978, 999, 1192, 916, 922, 976, 1193, 977, 974, 998, 1190, 914, 921, 1183, 1170, 1171, 1032, 1172, 975, 1191, 915, 1011, 1181, 1182, 1169, 973, 1167, 972, 1168, 997, 1163, 969, 1161, 968, 1162, 996, 1009, 958, 1015, 1016, 1014, 910, 1157, 965, 1155, 964, 1156, 909, 1154, 962, 1152, 961, 1153, 908, 1151, 960, 1149, 959, 1150, 963, 758}], Line[CompressedData[" 1:eJwl0stTTgEYwOGTPjVENylEFIWV/8VKIilyS5Gu2KqU60KFRDdChHKp2NaM 1m65lTYKZcxYiEXPNxa/ed73PWdzZk56fsnW4oggCIbUGhkES0NB8JpJvM5l vMHlfMNstnMbO7idb7mTXdzBm8zlGPN5m7t5hwX8wAPs4X7e40F+ZBHv8xB7 eZifeZR9PMJ+lnKcZXzMY3zCcn5hJQdYwUFWcZK/9U9/9UI/dV61ng+zhiOs 4wWe5Uue4SjP8SJ/6bL5iprVoquKVpSee36SDWzWkKrtJ3Rcz+wT6jLXs0nf 9FSdbqc5q0Zzk0r0yF7Mh/ykDnNd+B1N64Ha3Wo5o0vmQu3THt1128v3zGM3 d/EW36nNXMOFDClSnfYcnuICRihQm31L+Hs4pa+aU4v+6JV+6Hv4u7XJu5uV qY3KUpX7em7QOmUoXZXuaVyrVK3RalW4r+QqJWuFUlTunsBExSpecSpzj+ES LdI1++LQ//98HiFlYyA= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWQFEcAgOE5ONzhcHeHKhyCu8vh8MYzbq84hEISLFC4y+HuHO7u7g7B CQ75unj49u+a3Z2d7unZgj36xPeOiaIozsvK2ChKoEWyKIpJHkWzqMBMKjKb nlRKEUW9dCQjiGUu85jDAuaTjEUsZiFLWUJylrOCZawkgRSsZg2rWMdaUrKB jaxnM5tIxShG04fxVGYCQxhKGnZShUlMZgpZeUhVpjKNf8hGSfPrq9V4RHUe 04+n1OAJz3lGYZ8fo9kpZfyHDqMsOSjtWH+tyQtq8ZKijhfhT+OclDGurcMp R65wDscGaB1e8Zp/qUt5cvOGekxnBoPCOvjewDBvrUp948E0YCx5eEdD3tKI 9+TlI435QBP+Ix+faconmvGF/HyjOV9pwXcK8JOW/KAVvyhIjOtprZG20SRa SGO1rSbVdmH/aOGwLzQ+7BttH/ZDWDdNrR3CPtCO4V5rUU2nnTStdtb0Wkwz ahfNoF01kxbXLNpNM2t3jdMS4b56DrKRih+ei3c84RYXOEYidb0f5/P3ecAd 7nE3nJtb3OY6N7kRfourXOMSV7gcrokLXOQs5zkXrp3TnOEEpzgZ5sIxjnOY oxwJc+Ygh9jHAfaHtSGRvexiD7vDWrGdHWxhG1vDGjMu3BP+5i8mUonelLBW SXStdVjDalbF/v4v+R+kUoos "]], Line[{1580, 1321, 1325, 1329, 1330, 1331, 1332, 1486, 1643, 1826, 1642, 1824, 1641, 1825, 1662, 1823, 1640, 1821, 1639, 1822, 1661, 1820, 1637, 1818, 1636, 1819, 1660, 1817, 1632, 1815, 1631, 1816, 1658, 1674, 1630, 1657, 1629, 1841, 1840, 1578, 1839, 1656, 1831, 1689, 1814, 1813, 1830, 1584, 1577, 1838, 1655, 1628, 1634, 1843, 1633, 1585, 1579, 1842, 1659, 1635, 1638, 1580}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.825 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(0.825 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVke3uLFExZhYsBeU2HuvUY4SNdEPjb23YMOGDTFGjGKPYgWJUaMo il2xd18UJYooiCBVRTovvVmwcP2tdZ59fuu4srjeL3fd7343f7Getc8e9p45 M7Nnnz2vhc3sQZOLmpiY2JQ0Mfl/f5ctft/CfFWk4QefFYaxXb2UntftQryG PhIuW/T6y9XWvsIjzH+qcOr8QWH0R337JNK7x03Rh9GH0YfRL378Veigyf6i D6MPow+jP9y09PR5PR+JPow+jD6MfrOrVWy/HhYm+jD6MPow+kVm159S3PaJ 6MPow+jD6KdsrnY6oetz0YfRh9GH0R86vU7re7djRR9GH0YfRt/wTUOvk/0T RB9GH0YfRr9xrRYtXUOTRB9GH0Yf9o0v8mRMzFnF5UW7Ez9OSFHGzHK3MA30 E0b+LuDr5mOT05SYXR2WT50VanjqsPeLlhO3K9aGfgNzFz8Qxh74wC9jurbt clVY9H85ZVeiplHTV1n0VRZ9lbEfbnf8l4OlvtyqfDfxYppxf6rw6a6GmQHN M5Q6XuXu7HS/KXL6B3voH1jaV1meV/+fPK/7//QXTH+ZDYwr8WzyYaVT9/kb letGxXHT9CUjx28wVLVIXd54qKfwykcZ/e8vSlby/2H7wJD4QJ6HaZ/2Rqx+ Z+22Pl38Q0572FfMY0sHv/LXpL3rG8PsB130VdKPvbh/qmiqMP3DePM8/uj1 Yd4XPevbx77WzjvCrBaFG5qdODK02Zw5isvxoKbOP4QI5z0ovTSkz0PhE9Gr 9neb5Ccs64XKc+u+6BvY7qawrb9/zO3SZ4V5f0o33nMlY/xlGV+Y/urgsOVa g/7nhJ9FHrt0ca5B9FvmG8N/GfyH6MM8f6tO3KgDfreEdzzKGmEXdVf0U1sW S9lwJVD0YZ63W10wrGP6A+F9u1Y3MTEJEv2bMeWSh90PEX2Y58s4bDgctzZY eOH3ro3ulg8Vfbdt5om1n0WIPszzzxvtPHh8R7iwddF9DbbWjRL9md81i0/K fCb6MM+fjzx0wOHYU+HNEcO3Ht8RLfru73ZljXCKEX2Y53t/G/mw9rPnwvln xpXfWjdWG79QjzndSsdr46cyz3vViRlQ3DZOeNKGyZsdjsWLvr3XkQwLl0TR h3m+en5SQFJmgvCDKTPLjm6fJMx+C7N/wuyHMPsbzH4Fs//A7Ccw+wPMeg/r 12/mL/N9X7Wfvqj3bZow6xHrBXKxT50vPM/85Xl49h5784XHbik11oaOfTBY W0991xhSl1rHW7I+wvQ3zPzdX3RJ1cFTjGL/lttdkoatTVccb6z2+bF7qGXZ lWGn06evE44YmjJh/p29wsGRWx44uV4Q7u5w7NDYpteEXQdPig1Kuy3s5z43 sPulO8K7owyzT5cKFO6yoveUaXYPhe033Z+1uHqIcLkOQya1WfZY+DuryBk9 m0UIxyX9YPNmS6SweV7StC8snwk/ud+xVczAaOHXg9+0TWkYI/ztQcuTvhEa T2xe9EyAV5zwqWW9WhydGC98v4Rpm7OdE4VrjLI+vilV447RZU9tv5msXD2R 3ebXsWGGiHz38VM/9PeyLJvwxi0ChUs/tC7IyjcIM16wnfP2KV29vRWY9vde qtxqyT9ShTPKjDo64n2qMq9YlPP6TYEfPf+5S62TPwRr4zsyYUKTbmsylMs1 24W8qPyHvL/OB18/dNtzUPbvdq6Liy+qFX+d/Rh9mY8qy3xUWeajyjIfVZb5 qLLMR5VlPqos81FlmY8q6+Mv/Gc+wLzv+v7Rx1/IN/cp8OpRMUDb39Xnmc/9 H1fodX7Kx/M70KZHnRmD05QJkw+EO611l/ZsdpevvtvilPDbB+fT34ffUpx+ qd654jttPIenpu5/9vyIcIBvQGqR1snKl1uqrrD18hf94tUO3fdYEqjs8pzd x7lciuI6JaV80/f+SpU7S6Niz6cor/ot3jmh5CUlp1fmSKev0yWe+aLN+5fH p6Yo9WrP3tjV2Utx6Gqd/CQ0XWnm1D1r7PmzH8U3rBebN/3m3La9u0Hff2nW LpmlS2r9Q/zD+sbzTZpn76nhcVHs3/qs8S9Xsu8o23zcDxYbrcUrz2+eH7b1 jBZP6v8f8U7Qo7WN3yy7JfIjfRp5H864I8x4KofqH/Ipm6pc9cgbO+Wre7Ke Eg/jH/EwzP4FY0/UF9uynbwyRJ/1tX+Zq8ZpseGGVn+s/84w1N2yYplFvjXK auzQ/FS1yS+Dhb2a53Y7cy9EmP9PexW+b7bl7ZmHIg/rnzzzxLNA4XnRVssy Nt0VNkbfubO+0z1h1nsYf2j/WN3Os81NfUTeoe6ZBssn3BBOv9d7R2Ob08Ix /oOa2pw5J8z6IPGcOj7by205dq/kGW2+ug+LN43ylvVE4jdVnpc2MWjhQR/h aSXmPd9Z4CfPS7ymyvcMXvrA9N594dLnfdPdtgTJ8xKfqfL9Y/rF93uprT9P bYNTx3uEyvMSj6nyn8qOjq1sGi58tkaMsdG5KHle4i9V3v+m7fNn1Z8K90pc mPtjbLQ8L/GWKt/S5crsIW7a+nbS++f5Y2fGyvMSX6nyN2Y30zvV1vajajtW ZffIi5fnJZ5S5ZPT7syqdUhbH1fMd57b4OckxXOa1c/prhEyH6cfO13PaXKQ 8Linvdwazrwl3N1q5iL7RReFzY+P2t6i00lh/j/7B/+vs/vjGQmXtPVgeIMd szM2pcnz7C/IPRY9MfpZpSvP65bxXpO9Rzn9ICx5/7wMpdT6nx52XPJY+/+B TVZH9woW3rEzJMN1p7+wd/0OIxOa3RH2m9Kt1Zuz3op16fa1LX/X4rF426EW ezLSlLVnL1fOydLiMfc+96NrDdom7/eF9V06L6y+7KP51OtRcivjwIsG9huY /QZmP4fRv1PbP6Zq082iD6MPow8bc8Yb5/4aIvtRg1MZ3zzzfaKd7y4Y+jd4 EyMcsG3Nm6gKicKz7L8/5NIkRfjzwVWG9rXKEA7ZnrHM5HiWcL21g0MjL+YI z194ofmFW3nCN6fUWLk18KVw+WFLI2ZFvRae0Cu2VZ+kN8In2327pl7uO+GC ukefFBQUfJT/YD/FXxh/YfyF8RfGXxh/YfyF8RfGXxh/YfyF8RfGXxh/YeKR s0MsHtfpnCn+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/9Nu 7K/ksiRL/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP/NWzQa +tnNbPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8f7TjqOvC ErniP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+L+2ZMvg5L55 4j+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/hvaX/abMymF+I/ jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sPWlbZ3u7L0oZy/8R/m /EW8RH/J+Vw9j3z5eWzeyMhM4VsLp7T3r50t/GNcsr3lpBzhFgNnnfU6lCsc ey0z56u0PGG9fezP2MP+xfOs5zDrG8x8h3n/Yd6HncXfuritf/RRvpv4jPz7 FznLnEsFZsh5lvMc8R3n17VBDX9tdDJc+hPGn5g/Rr/qmxEtchj5Ms+6B4qU jBc5jNx8VcrAi+bJIoeRX5145r1dhzSRw8ib770WUuFgpshhyTdstmiWfjpb 5DBy/6Wrlt+9nityGHn12clh+/1eiBxGPn1cv5bLHr8SOYz8Yr9Tq0bH5Isc Rl6qW6WoDulvRQ4jH95sUZsK+e9FDiPnPNoxctc0rzHHJN6FyR/MqRPVxqL7 GeGNC5xmmXfeZ+D8zfMw8TLnaeQwcv4/3DnWp3u/D+dC3r8F7oN3XA56Jhx2 Iuu1WZE4YYcNlzz9qiYJV5zpNNipVarwyAP1TGrWyxQ+5Lp22MuW2cKvVqQe C/o6V7j3/AHFTnz7QtjN5uzIXwa/Eo4bWNVr0vh87ftQD8cS3We8FV7RKnpM jYXvhZs2qlDKdEnBR9+/9OcJ5KE31qcVuxIpzHoLrzNs8OiU91yY9RdutHvo gIwyCcKsx7CvY613B+oZhVmf4Umj4w+P6ZouzHoNF/l92FHTJlnCrN/wAOfL ReLb5wiznsPui81HePfIE2Z9h9OnLz+xs99LYdZ72HJUQvGFI18Ls/7Dzn36 jh40+Y0w+wEc1enEqeZz3wmzP+j7m/nCeLC+0d/IGQ/k9DdyxgM5/S3fG9Xx QE5/I2c8kNPfyBkP5PQ3csYDOf2NnPFATn8jZzyQ09/IGQ/k9Lfks9XxQE5/ I2c8kLM/I2f+ICd/oT///2e/v7C/O7j3yQgtq33vHXW/8l6r/+/7S9DlSAvf 114G2L/78k3Btz0NJ7xnJLy6Hib5zbzr72q3XRgt7PL7bf/kjXHCrR03LHL3 TBIOGDW0wfDrqcIXd21MLjEjU7iEc7YS45AtPGzxMLdry3OF90+/nLp94wvh 3JHm39jveCVs1Wf5b9975mv53U4JGU1OvxWOadi3d4nr74Xpb/Kr58+Z+i+q 8uffI+iPrh0qVPE4kSkc8+xMcLlSWcKZ+7YNq5SjsZt1x4orrLOFPctWc1vT MUfY+tLlwXmbNR7luCvk9eJcYZMGli5TQzQul1y70kzvPOHzW28EhVd7IUz8 BOvXW/x39Wp8+bqZ9n2BeKvLGueYlMvaeiDjqc5/GU91vsPMb5j5DDN/YeYr zPyEmY8w8w9mvsHML3l/9k8d7jX54+8jO6bXCh82WMsH6uNH8uuSD1bjSfm+ p8aTMPEkTDz56pLTL+sXBCmbvr/oWN/WqJSL8ehsdTD4T7+/6POP+nxgYd9X iC95n4knYeJHmHgRJj6EiQdh4j+YeA8mvoOJ52DiN5h4DSY+k+8d6vhIPKb2 75ero75xXH1OePeQIr8Gjthp+L/+PeTWZzV37l3zWN4vE5+juV9eeCpcy7tW Q8v5scJXdsc/yl2nzd+RS44vO7pPm78vRy9obnNZm799fzefVSZZm787nJf7 JOZq8zdpcUI1HxNtfe40o++c3WW09Xn1qBO+i6pq6/PjPhVqDa2nrc/1OjvM b9VKW5/9Wx0yN+9QILyutmNWjo/GvB+cP3kfVjfOPhs6WWO31EcdogZkyfOc T2U9d1uQ2+eINr+tRw536L8tW57n/Crre9HXba+ma/omvhHnvMNz5HnOt7Le z3ac36KtxufbjMtrY54nz3P+RT4mquC0+0KNp+953u6AzQuJnxlvm7jYb0fs iZD+sN7T1uXk4yhtfQ68FGgz9blwrxM/OHy5Qlu/Z510WlJtabxwrHPjurd3 JGjr98Y+TQLdkoWdZmQFLD5tFD48s3zo6hNpwrX7XnJs45cuvO9A6g3zWG1/ n+Dq7Zo7R3t/sl0HVM1P1/b7EyvqpQQ4au+T1cqzdiH52v7/ft7aHkfXavvD 5vlVb3uV0PYHa5vUX1e7ahxt41jDuYK2X+waOCD9B3eNWwyKnjvVXNs/jN3P 9ux2TOOfe/S8Y9VE20+6tKq6s+pFjfXfj/Xfs/Xfx/Xfgxjf6KUDXk4ro+XL ie/YP2H2T5j9E2b/hNk/YfZPmP0TZv+EiY9g7COewD4Y+2Dsg7EPxj4Y+2Ds g7EPxj6YeJb6EOJdmPgHJr6BiW9g4htY4mW13oT2YdqHaR+mfZj2YdqnfoX2 YdqHaR+mfZj2YdqnHob2YdqHaR+mfZj2Ydqnvob2YdqHaR+mfZj2YdqnXof2 YdqHaR+mfZj2qPehPZj2YNqDaQ+mPeqFaA+mPZj2YPSpL0IfRh/meeqPeB7m eZj4g3if8yPM+RHm/Cj5SFWfeBp9GH0YfRh94m30YfRh9GH0icfRh5ETnxPf Uj9GfA9zHtDLqSfhPISc+Frq2dX4Wurf1fga5v2FsYf2+X/UoyCHkVN/ghxG Tr0JTD0JTL0I9iHHPhg5z6NP/Yj0j1ofgv96OfUg9BfP877DyHlexket35Lx 4b4A46G7P0D8RzwNcx4g3uN9gZk/+vHX7x/ImU8w/sCsB/rxpj3aZ71HDiNn vUYOI2e9RQ4jZ72E5b6LOr4wctYvmPWI8YWRs/4wfjByfX0y4yX9qbtPwXgx nsxnxk++16r5Qu5PkF+kXp18JPXj5C+pB+c+QdcEn1UOzbLk/kHWoG9vJ83J lnw69dDk36kv536C265VB04+yJL7DP8wNY23MMuR9QfGXtojfiffyvgh53ne H87jnH+Jv2Ce574CzP0D+k++L6ks+R61v5HD+u8jyGG5H6T+P76P8H1MX08O 8z0N5vsZzPc3mO8hMOOpHx+Y8Yf5XgLzvsD0r8SPqj/cByH/QX/DPE8+RPIT KiMnP4IcRk6+BDmMnPwJchg5+RTkMHLyK8hh5ORbkMP6/uB+C+sH+w37B8z8 4T4KzH0Uxov1n/Hk/gXzifnBfIO57wNz3wcmXtCzfL9U5x/5dLlvo37f5f0m 34u+5H/V5/m+C/M9GPtYX+g/zk+sN9jHfgSzPsGsj/rvZ/r7Xvr4i//P+s1+ DrPeM1+4f8P+yn4Ms54zP7mvRn8RnzEez1sWndJtncb670fYw/zkvhD7K/+f +c99HOYr/cn3TtYf+pPxpr/5//QPcvob+Ysq3+0M7mf86Dyp/34CYy9MPADj L8x8gVnP4WH9fw9t7W6UeIHzNXLO1zDna5jzNcz5GuZ8DXO+hjlfw5yv4fyC Ct0snY0Sr8S4PAp2KG+U+KTyXNNDI1pq8Yh18SKPPDsmfHT+mmBXbfydBTHK rjr1/jiw/7nEF6OKW1cLcHqi6O+3kg+mvytUnfrAdFCyMill3OXHT30lXmC+ jkz0KL9ySqZiWeWwQ0ipxxI/REY1GR/X2KjUnzbUotFn+wyGy/mZ7XYalasl kzsUSz2izB5tEzFo24f1v/ubgwUB3krWb3PzMjoYlVJ2A/pdM/VTnpyq1sfM 8UO80SCkTrfjUYpZ/NPd5ZrGKFUSVpVN6fnhfBfda13nPU+Urfnjf7e1SlDe JpydsXSDryHoZKc563/MUobl1NzjsSTYYO07fmsb12wlupTV1IiIZMVu5Xfz fg46Jfns/6n7TweOLfl5WlCykm39Q8XsSwGF3oeqX8TJ1+dCktIgInxZQL8Q 5Zx92Xehw5OUmdalG530+efvSzFf7t6oGzLoTYTic61HxbY1tfOK06sYq8yZ 8YqlT7uMA/M0/f/q/aovb7/e5ZERI+eZGQtXZ1VcG618b9O9xUA/7fk/u3/F /K/TMKLtkDZa/fu/yn2sUWbnbMOHPJL4u7D7WRNO2K1wOhNgcLtc69fjJbMV v+RKS2JvXJJ4nfX2WZn1vfbMzVb6Tm7XznlfoJyv3laaMMGmdbhhnE/vTCtz LT52a7gtNXdCjlJ7S60RPVyTZT0nHia/rb/v9c60eIX0FVp8/Kn3v2i/2tdX DRW2fvp9sAEWaW03W8TJ/kk81CSswwCL9tr9Pv356VjBhVubZmnvz5/dHyvj HF/qaOpj2W85Xz1OXKeYPUz8y++X6e+TEf+/SrF5mpWrnb987f1NXhuzlboT c/3TNhqVziu8PfM77lMiwwdsHf80Rrlbv8uPTV1iCr1vNvX+oVoXYhNlfFf1 82v5tF+S8J4e+yZdP56ouFaY4lCxcrhS9vxJi+1fJSqZ5Tau87gXoSywO5pU 4kKsMiJ2WYrVKe3+CvfTtnr97BrW/7Gyt3+q3fhyycrc0pn12/vvM6zMD+nj ODBTmTT7ZlrTLpGGWiODr3uMyFGKXLhyOnC+UVnqUKdxlZ9WKheulrHfmqG9 f//sfbPC7o8te2reusT7ZIm/E8sf+Wl0ow/v94gz456N3WewjNvt/o2HUfJF Nb+vUHfjHqMy5IRDH+9y15TVXQI89o82Sr7IcNt+jVk3o2JW7jdT4567SsX5 fcNbH9fyRZ5Nn8Q7uiQrtzxdRra2fqjULXbz5a72ycrF1KtplRs9UqYUG7x7 cmct/3MyrmLZiY3iFbN2Vvl1vohWppR7833/ARESn7Xa4R06q1SE0tDsbIrv icRPvs+mv99HvKl/vnyXggnnMjIVl13pa7ufS1aetk3aUN72nIH+JT7R3xf9 bFDmr1UuHJPxtBgQtsCzoudH6wv3HbGH9tbt+zy9+bQr2vMeVZZOuXxdOH9j jd/cnf8QXr5x24DicbeV/+r9NPzn/1//R/0jc80eSHsdrI9mf3E1QPjiylqe 1/IeCf+8MsJptoXGrB+0V3PivhYNOoeKfNjE+EH2X4QJ5/Y4XtCkfpTw5R7T I6MGRAqznkl9UZ02a11sn4m8z+Yuj+eYRwv/tnR3M+smMcKLCxyr1/d+Lsz6 SXt306PnmPjHijzRruiKhh3ihDuOmxJe9ENcBVd72vOPyNB4Yc4HtPfZsTl+ s96kiLxus61RrpNThefXeNFmztx04aE7g+v0Kanxm8qG8AMf5l90+YmNE8NO K3MrhVil7TcqR2a8c75694LkB/h/g3rt+nqraaboT/js+K0DlhqXevd0tkvP LO396fogYWlZjckf0J57O5Otsypli9wrt1wNp74aj0i18rUbkCP8XbM23UbX 0Jh8A+1l1p2U9J1FrshN4uznjhmm8aFIz5p9x+QJb6/h5tKhocbkJ2jP0uyO Zb3mL0Te/1HYHx1tNH7hV3p+fduXwgml85PLt9WYfAbtbSzabFtBp1ci332z q7mZnca9L9vdNbF/rc2H/LHd0yw1Jv9Be1FZm1IieuaLPPWUu336Io1dDwfV jlr6Rnhl8g23O301Jl9Ce82e5/Q4P+CtyLvuLX7v7iqN47Z3cLiw/p1wcFj9 NI9hGpNfoT3HwOHbt4x5L/J1m20tDmzRuM3aHf5bfy0Qrnfnl2+W2mj8qfdZ D0RVTi6/1Kg41F23yMPoo+y5smhh/myj8vmi1PI9V93+5Puu9wzRe4ulJSsm 81Y+mDjpwSfffzVuKNcj5dckyR9dmDqkfZ1OScoI21mDf+v0338/dmTuEV+b aonK9MXzlXaJEcrB3iOnln8cr5TLrd5xme3Tf7n7sxd/KDI6YMwz5eLWPfbZ a+KVqzs/LzlHiZZ8Gvm1q6ZndnQfGq8YF/xmXnp/lFLzZJKn4UN7trtXjbML i1Qu/FT+dvH8hL/8Pq7+fv2n3s/V/75Ag4ZD0o2zgz5q78/u79qXTZk4seVk g3mJgwmPP8tUjlQ3KV0t3sdwpMze9LR+WUrw8NLDhpjeNAzd2XVocMss5YHX vNGnql8xfHW7TpHFCZnKvZaVbEonat+byV9+1yk73exw6D99H7iw3wtoO7Bk 5ZDeOySfRjyZm9so5ss62vdRr57GtzPts5T5hxIPxDVNVuxuvznk8+Fcd9Tg 61wrN0aJPBxz6J1jjHJ44d1KE8c8V5J+zP96jGmc8tW7Y7f7TAlWVgWVT1p9 LVkJnlbWL77GPUOTCvd9FnpnKePaR3jXa3/aUNDuRrMZuzKVrkPeHWof8tjg Z7GgiFt4tjLohtlQz8ZBhn57+7fu0T9bebneunup+XFK7xtrm/V4Hq10KbEv tlurMOXa/tDmJj9o338433H+gMnnwJyfYfJFMPkAmPbJ19G+vt4Vpn2Y9mHa h8nP6fNxMPk4mHwcTD4OJh8Hk4+DycfB5ONg8nEw9nH+xT4Y+2Dsg7EPxj4Y +2Dsg7EPxj4Y+ziPYx+MfTD2wdgHYx+MfTD2wdgHYx+MfeQHsA/GPhj7YOyD sQ/GPhj7YOyDsQ/GPtYj7IOxD8Y+GPtg7IOxD8Y+GPtg7NPX55AvwV4Ye2Hs hbEXxl4Ye2HshbEXxl4Ye2HsJX+DvTD2wtgLYy+MvTD2wtgLYy+MvTD26uuL yCdhP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPbr65vId+EPjD8w/sD4A+MPjD8w /sD4A+MPjD8w/sD4A+MP+Tn8gfEHxh8Yf2D8gfEHxh8Yf2D8gfEHxh8Yf/S/ D6r/fqKvr+L7Cc/DPA+T3+U+BPow+jD6MPrcn0AfRh9GH0af+y/ow+jD6MPk k8jHkS+GyS+QX+L8L/lo9fwOc/6GOT/DnH9hzq8w50+Y8yPMeOrrjThPwfr6 Ls4zvL8w+R19fRb5Tal34/daqXdTWertVJb+Uln6i3wp/aWy9JfK0l8qS3+p LP2lsvSXytJfKkt/6erH+F5B/pJ6f94n/f114k+YeBH/9d8z9PEk48V6ALMe wKwHMOsBzHoAsx7ArAcw64H+fZHfU1bHk/2H8We9kHo3tf+k3k1lqXdUWfxV WfxVWfxVWfxVWfxVWfxVWfxVWfxVWfzV/X4w36843/H7p9Qj6H+PVF/Pwf1v 3m/yu/gLIyc/gxxGTr4FOcz/4/dgGS/yG/Q3TH0T9RTMV/ILjB9M/Q31FeTb mQ8w+wH5cdZDWO67q/lrue+uMnLeJ+QwcuyV+/QqI+f9RA4jpx6E+i7uD8Pc h4e5PwxzPx7m/jDMfXmY+8Mw9+dh7g/D3KeHuT8Mc78e5v4wzH17mPvDMPfv Ye4P6+sL+b1h3ifiY+YD9ZQw+wfvF7/3y/gQH5F/ot5S6mXV+Uc9D/VDzEe5 j6XON+orYeozeR9Zj9GX+1nq89Rfwp4Gv+Kjz+WIPvez0Jf7WurzJg7O9VyH azy6Wf+e91/nij73tdCX+1v8HnJM2Ukldmlc7reHKxRL7f4W8YbUm6rrL/VS rDc8L/dPVZb7pyrL/VOViYdYX4gHWF9g3gfq9ZhP7P+s7zD1YtTDEk8xftRT 6cePejD2W8aL+AymXovxo39433i/qBekv/h/tE//UD/I+wPTPv1DPoX1g/pP 5OQzkFMPiZx8AnLmF/3FfGC+wOhz3kdfPx6cp9if6H/0mZ+ML8z4Mp9h9jv0 ef/4/8j1vzfwd33cv1Z93L9bPVxhvz+hr5fT16sVVo/2qfVkhdWD6eu9/t1/ H0NfD/bP/h7Gp9aPFfb7Gfr6sr/69zRYD1n/9PUnhdWz6evX9PVohdWX6evJ CqsX+9/++x36ejR9/eGf3f/X3x+ifu1Tf7+jsHq3wuqL/rvq3fg9g0+tZ/t3 qzf7d/u9E32926f+/om+Pu6vrmf7uz7t7/q0v+vT/q5P+8/WpxVWb6avHyus Hqyweq2/uj6K8xXrs/7+hL7e/P/a7y8VVl/1v/33lgqrB/v795f+Z39/SV8P p6/n+9T6uMLq4fT3SfS/N1ZYvZz8HuPR0ZdX5s03FFY/9x8m8joA "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvdv1lUUh8+3LS20pXvv9i2txRZEVIYgOKp1YBXFIkOxKCLUtlqgOEHl ddEf3HvvLfoHaIwzjjjiinvFEUfiiEaj0c/JeRr7w5Pvveeee+9Z97xvc//Q 0sEMM/tdZIqjxVzRKTaI7aJKHCPmiS6RJ7JFjjhOzBczmWdwTo0oFxXoJqzl iknIVomVYjJ6xaJErBEninzmU0UBTOGMQr5uSyV6pWK9OFWUMS9Ad7noE1li lthXtIla7vYzGrHbZcNiSNSJrWJUtIoWUS8axCYxIprEgNhIrFKsN3LPHty1 gLvbieVMYuW61dydFnuLDjGDPHjs9hKzxW7kp4t49hH3TOY5E+KdTazbsTvF PJc4ZmJDFvMCYj0e3wJyUkEuS4hTBWulyNYyLiRvheRlKuvF5KQSvRpi08BZ tcg2Mq5kLYXd5axXk5NG9OpZb2atAdkIextZ89hPQ7ed+cXEeg6x6iR+o+ik mHcRp5X45PE9XCwSC8Wx4ihy1Uaup3HGrAmyPZHvTy49j/uR692Zz2bfTnG5 6Ob+ediQjQ252DsXGz2H88ljGz63cN4CzjyZPBWhuxj9IuSes17Rw70L8dHr cIk4QExnvZfxDvwZ9+UgsQ+yg/HTdY9AfwzfehgfSvwPE4dw15GsT2ffkgnj XmxbxJ4O7DoQnRnkopPzutFxP/uIYQ5j7zleq2uIwfEWPWJcdzk6Hm/Pvfei c9DLQrYK+Umc4+PzmOeTt2Xk51yxmjN93wno5GNHnv3/foo4r5/xavb4Xs/5 Uou68LyOEv9S8uh970Kx2aIvnWKRez/nfOY+Ps2iV7r+NuY+9rfnb7WK73rG fsY6dFy2Abm/sSHu2i5OR+614DXhte1v1d92Hd8BxlXMK9k3gKyMu0vRG+IM Xx9Etg67y1gfxoYLxBno+HwEG1OMW9E9c8L6JuRr8bMM2Rbkm5k3MR/lPP9u Jf5nMW7lezbyxRZ14zVzEXqus8KiJjyn3gP8vXVg+zD2e414PXmN9JM/z91D bmMS72sQn13/Z/GLRc19JXZZvMfHxGsWb+VuPy8J3+4UU5KIxb2iMAm7bxWZ SeTY++Ql5NF7Uho706y5/GbhTdRzcinyOfiVRudzcb9FL/xSPGjRnyZr3x34 nafxXcS7QON7iJf7UZWEL1+IByx6a00Sfrr8UVGexJ23i+wkYuPx9bfq7/4V cZ9FfypNwg634TlRmUS9uv87yF03Pru/RVq/wqKPvyhesuhDFZI/Q/7eJjee lxLJn7bov0+IDyz6nfvxODa7vY8Qpyfxx+Ufi08set5b4k2L97SFGvL6qU7C brf5WfGGRR+8VvxhUV9u+05ykWbu4xvFPxY19bxoSiLH14u/LOquh70eg2Kt P2XxX8Z9GJuwPsaZV4uXLeq9WfovUAteW96Pmix66gpy8q+4yaIf/S1usOib Gdp7i0U/8jvrkrh3kr63WfSJ98XDFj3+I/GhxW/yu+I9i9+ez8SnFr8nf4rr LPro6+JKi5pM6cyr9L1MvGrxTvyN+H/hayx6/W/iV4v/ubVJ1LHX8NfiG4vf m+/Etxb/nb8XP1j06J/Ejxb/nb0WGpKoh/ok6thr2GvnHYv6aUnCJrfnP6TA 3w0= "]], Polygon[CompressedData[" 1:eJwt1HdsT1EUwPFza9RWI0TM+rMIVav2pjVCjSAIDYJQI4hRbY0YfyBmVWvv IGLvRIi99x7/2Hvv8T05549P7r3v9+57v3fGjU4ekZQSISJdkRsHkS+IjGKc gkMoyHos41TsRwTrIYzpWKH7WA9jHI4DyBNsnoEcBNaDxfYsw18MwEB8xHtU Rzd8Ryb6ojde4yWqIQnP8ARV0QmPcAdt0RFL8Qv90B9z8Mr31sM+/PN3p+Ew ivD/JjBOwx78QB+k4hPmoT664w3mIh5dsBtf0ROTsAqRPG+kWAzLMS+LGswb YB0Ksx4v9s4KzMsjlnlDHMVttEGiv+uDxybevy0Lyf6Na1CA/WPEcnQE59AM 0/EFi9ELPfDcY6Kx6Oy5yMYgz8le/PbYTcYxnEdzdMA7PPXYa82U5N0lEMe8 Fi7iseciBlewE3XQEnmD1ZjWVgrOegw1dk2RK1gNZWAovnlOUv0btqMM9zT2 ZxYKlkPN3TjkD1azWqujUTRYTDQWE7EVpbjWiLE2ziCa9SzGutiM4sFyEee5 XO3P0pxKsB5I95hVZH2CcSZmoBLrS4xV/NpGRHGtplgN/BGrwTTPoeZurf93 zeFPz4HGXntgE4oFq51Yr531/i1aQ7uw0GOnNaq9uNJjqz25BdfQSqymHnpO NZftcQ+n0ATt/N4H/pvuOS1Wk4l+zwbcRGuxGruA42jhNXIL170W9J75uOq5 15hc9hqJ8T03cN/frTnR3n4hVpva43o2fBbrPT0j7nrONFcJYr2/w+d6BuhZ s1ysdvTM0bPjrViv6hlSmt+3ee61hhZ4DDV2s3HSc6q51JpYJNZD2jva40vE zig9m/SM0LOhcrC9+oz/PDejFw== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHm411URxu8ZbVEQRVQEBCQDRGQRlBDhsgpyRSsoZRXkiqYgqIh4AQEB LyL7vikgu5krIIICgiaKIsjNzLKybDfbV8ts3mc+3+fcP+Z5z5nfWWbmzHnP fH9NRo7rP9ZKSkq+n0pKTnI84ni2K153/LFLU5cWLr9zOe5yqctPXZq5XOTy mMvFLle4/NDlPZfmLjV8jVNdDnj7epfeLn1cTnNdTZeD7HMWe9V1PMflDW/X czzX5ai3GzjWdznm7dqOZ7h819sNHc9zedvbdRzPdDns7caOjVyqvH2B45dc 3vX24y6dXMpcrqYtm/uBnV2uAbu4XAuWunwV7OryNbCby9fB7i79wR4uA8Ce Lt8Ae7l8E7zS5TpQcWniNp7v8o63T3es5fJytf20/0Did5XLUHyQ7UOq+TQM nfwYjg+aewM69Ueg07pPuPR1GeRyIzr5NAq7Ze/NoOy9BdR5fguUXeX4L7+f ZL1bXW6jPdhlNCh7x4Dy43ZQto/DVtl+J7bKrjvQjWCNvvg8lnmaM5n9tM9d zBvpMsHlJny6B5RPE0H5dC8on57C9gqXSdX8GM965aw3gBhNYU/5tN1lpcsq l2nYJ5+mg/LjflD+zQBl70xQ+8wC73Z5AJQflaD8mA3KjwdB+fE0ts9xeaia H3NBxWkeKNvng/e5LACnuiwE5cciUH4sBuXHElB+LAXlxzJQfiwH5ccKsJI4 VeLHKlB+PIPtq13WVPNjLSg/HgblxyOg/FgHyo/1oPzYAMqPR0H5sRX7ZNdG dPJpM/7Ij03olhKP2znXbcyTH+LJC12+nIIbxZfiTXGhOFJc+e0UXCneESeK c8Sbp8KF4p0t7CmbasIB4qBacJ446Ax4TtxwDhwprjkL7hQHnQtfinfOgwvF NfXhS3FQI/imN2c+Bt/Ohy/7pMx94o0z4elu+CC+KUuZQ69OmUP7pcyh6n8n Bf/q3uoOiWP6p8yh4h3leHG3Cq4suFM4oNrZr8Vu8U/Bo9cxR3YP5DetNYG1 tbe4YxA2iTOGYeNw+vJ1BH3ZdCN9+SaOGoK9I/mtH2sMxZ9yfit4c1TKvHlz yrx5C3aIV25NmR9vS5kfR6fMj2PYZyx92TqOvmy9g75svZO+7LuLvmwaT7+c eIwnpjehK2PvwSlz5QRiP4pxskO5MgVbxSGTsGkqvxV8NBv7pvHbaOZNxmfN q0iZE6enzIMFL87gt4ITZ6bMibNS5tZpKfPUQtYVV8xJmY+WpsxBy1Pmvnkp c9/8lLlvQcp8tyjld2Jiyhw6N2VuWpMyJy5OmROXpPzeKKYF961ImftWYqvW WJ0yby5Lmbu1z89dXkrBGwX36T7orokrSlPmvnUpc9/6lLlvA/ZtpC/7NtGX vZvpa+8t9GXLVvqyext92b2d/j6XHSlznFDc8EIK7pNuv8vOFFzwYgpe0L3c RV/t51LUJbofu1PUE8qXPSnetjmsvYM4PJvizVDcitpLd/H5FG95BetqzzJw J/Y8yX6DGLubvZ5mfgVr72Ff7bmXfXfiWyfs3cU+4itxby/83oe9OrcDKdfK aosvVQ8fcmydombWuFb8dpCzPURb+uKd09m/wrlr7i/oq60aUu02Lq+meDvU LqWtt+OX/Ca96mq127p8yH7a67UUb01b5qgtzv4Vv7Wlr3dB784R2pe4/Jq+ 2m+meJvapaj5j9Dujr4HubCf8/kNczTmOPHUd4fq/NdYU3OOEu/furzl0j7F t8NbjC/qcnG2vi/eZExRP1Uy7yj6eT6mncX+H6f4JvpKirdGb6XeFtXq0nek r7dSNfkPaHdk3jvM1ffI92j/h7gUMfkf+yoXVAd0xp4SC/s/w7f2jP2MtuL3 X+Lz+xTrd0jxDlZhr+qQD1LUIj9LUYu0BNVXXfL3FHmjnPlzCn5Rfv6bM9b5 NmeOapg/4Kd8VH6/zZ76zpL+cpePXE64XIZdVdim77UTtP+ZIv/a4Men1c7a LOb+g3Ea8wp9tXU//pIiPz8lVzT3fZc/4aNs+SP2/A0/WzPvr8zt4vsst7i7 hxinMV1dt8qCG/YSF8VE36HH8Uvnkzgjob6N1f6cxXl0wPfPW5z7yRa/dUD3 BfTy9ST8Vc580SK20n3EXieYr7nK/U/IH63xMXn1Cbkl/SkW56R1/sVZ6hxf pa92dx+z1oLzPiBXlA+qY3+SopZVnGvw/a5zro+d4iHVpl1A8VdrYngataw4 QPWi7BE/qX4tBcVNOkfxkGrZrrRroT+MvrC5tuWxtdErH06nPj7MXuIh3WPV xLoj4hXVxO2woSZ2vsGYomY+mzGv0+9OnOtQZ+ue1qW2PkYcerGX6uyerFeX fY+hVz7oLtezPLYe+mbEvCm21yFWBxzLLN4Z8Ydq8T7EXPzQCl0T8kR8o/83 riJ/mlDTS6c7eTn5/iE535Qz1nfKj1L8X9OcvDuFNd9D35Jc0PgW6N5Hrxg0 IB901y7gm0E535jvDdlbA5tbOk6wmP+S40CL91N5pe8TcchBx8EW7+i7+NmR ODTivuguNOQbRnexAd85VYzpDTZmvNZuyN2poq92T8d1Fu988V2t2lB80BlO 6GtxHjqL6y3sls1XOO63eK92SGfBBxtdbrCoFe5xvNcifoMsfJNfnRz3WdQF DzsOtag5ThALxXO964ZZ1B9abwNrSvcI+omO0y3u6S7H5yy4ZLd+t+AL2dgC O5s5TrW440sdl1nw4xTHphbn+4Ljixa5IP4rteDAcsfmFufex3GzBc/ucdxr wWd3a22LnBKvdLPgFsW4B3F+VPfGop6a7HifBfcoBmuIw2rHIRY12RbHrRac PdxxhAUfb3PcbsHXsr0C+x9TXC3eCdk7C5u13krWXGFxHjqLp2SXxfvzuOJk wY/POD5r8d72dtxkUWM+oXhYcO2VFv7Il0rHiy3ezsXKOwtenmSRB8qB+Y7t Ld7yuY6XWNQBS5TjFnw9zSIuiskDjvdbvNOzHVtZ3OGFjpdZvA0LHC+1eHse dGxt8ZZr3kzmzrA4e537IuW+xfukHLyQPHzIsa3Fez/HsY3F2/x/2m+d+w== "]], Polygon[CompressedData[" 1:eJwtlOePD1EUhuceu8qfIZHYoveyOtHbrhZfsKzOqlGiJHrvIYQQ3dpe2EZE REREREQEEb333nlO3vnwZJ75/WbunXvPe27dzOz06RZFUQYkQCtuZsCNEEWv oSWeDdfxV7AP7wIFeDksxhdBMn4fmuCT4RL+FPriq+ER/gn64WvgMf4F+uNr 4Qn+DQbhG+A5/gd64avgIf4BBuMb4QX+DzLwzaZvq8F1CGwxfXsi1wGwzvQt P2AovhXe4LW4ZsFwKOX+LAzDt8FbvA7XgbAennH/C+bj8yAJvwcL8IUm9z1o hk+FK0FrGIf3hhL8DDTHp8HVoDU0xifBxaA9aIpPgctBc7bAvUDX8JeQZBrT x8qBPvgoqAyaow0+C24FrWEkngnVeBnMxlPhLn4bRuBjoCpoD5LjPfG9yIXW +Ey4GbRnc/Ge8D5ojIb4BDgfVONq0x763tWO/zsGn4OeOWrKhGfhI4zHj5j8 HFSaauS1qRlnsSJ2z6R/S1U8tn+TZ/M0JMQZLY8zkBj/dsqUEc+GwQpYCQ94 NhVGmzLm2fI97Ijv9vfwfEjDd5r2Lg+64vtN2S+EHXhbB38HnfG9/k1BPXIA 72Z6tgK64wdNXgR78E6mufwdr91201hew9w4w57d70FZOWlyz0yOqYe8d74G 1bKdKRteU699e1MtPQNL8KWmXk0JyloB/A7K3GF8rGlvvMYppsx4Vu5APXyO yetDA1MNvXbeo4fwHqa1FQf1QhH8DeqJYlMPe+/6b94LJRDFPeFnRx78DDpD jpvODD8rPEMT8ROmtV6A5fgy01q8pvmmnvVe9TEKTWeKnyW+xlI8HUI8p/dW WZwN77FdXDuYau0ZaGSa0+fyM8vf3WTqRR/jP1AMv+M= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm8z1Uavve+L9JYhkayhdRMKVESxtoykaiQlkmpVNyalmnaF9FUWrUT raJIGkpFzVpEyFa51qwhSxSyRN15np7nfj7+eO57vud7vue857zP877n/hpe cUOP64sKCgq2FBYUBOy7+DMJqAD0Babi5RzgHrQ/hZ0H/B3tz2C/AO5Fezrs fGAQ2jNgFwAnhOZK4C5gGvrmAl8DJcAi4AH0z4T9ErgR7TZALeBmoB1QF6gd Gr8cGIz2LNivgNvRrg8cDjwMzEbfQuBWtNsD9YAVXmcx8D2wEdgEbAHWAeuB VcASYCmw2nYZ0DC05hpgrden79/YrvActCs910rPdz2+bQ0cFupb7DU2HjDf JlvOt9mW823wHPTlO8/LvqMw17ewW4FtRWpzvkahOfl8E9ptgTqhGDEOjMcP Xo/r/HjAHLt9Lnz/+1D/TuAPIbsXOAbto4EdaAfsL7ClwB5/tx1ohv6mQCGw y3Nz3p88H9c8NjQfvyfR+G5fkfhR6r59Hss5jvNaRbD73Ud/Cz1uv/lG3k23 H5sd2+7obwFUNwfHmYfnAs2B8gbn5p6qAZWAysAEYBhwLfA48FgoDpNhPwD6 AVdaG5+j/xzYE4FyXo9zVAFaAS2BGuY/NUQtHe91Of4FYARQNaQjaosa4ze/ tV/UHXUzzXqh5qi9M0KcYMym2N8q1gL1QZ20tp6onzbmBfXQ1toiL9tZK+Rn e+uJGqC2aoa0UMbvdebmBj8v9rsV5vcqP5dpic8l1styY601UKaltQdoic+L /Mz3DULz0IcjQuuuNrd2mxNlWtp4gJY2eb4tfl5vLfH5SMdzgzWzzXrY6Hm3 mYP7zN81fsex5MJ2z7PV43b6m11+3mRdlOlqj32lhvaYpzs99177t91jJ2LM GI9jrmNeZH58J/SusTVUah39ZN2U2l9qg89NrMX9HhfmHMelOd/Umigw18i5 31k3Ncy9SdbPCeY9NXKQdVBsrhdZS+X8vprnq2w9VDPHq5uf4zw+nCv22/eX Q7o9GTglFG/G+jzYDubiH0M5tcS8qmU+dwzVieXmTx1zm6hrbhP1zO0xPhvG hRo91HvnOg3M+avsB59PDdWDNeb24R5zNexp9vX0UC4mT9h3pPnKsfU9vtQx Z9w6hXIuufBhSMM8086OMznQJZQ3GcNefkcenQ+c5TiPteV+GLeW3kvXUA5l fC4Cevodc8INobMrNA8KHJPmjuNbwEnuOzuUs8ryWwvH9G3Hin0XAN0814VA D49rYj8LHbfWjh3P5k8hHTJWbR0vxqe9Y0T/2ji+DRwL8oFx6OhYMw9fB3xS JH508DmzfnXy2TL+7cyBRo4l48izZw7dam129pnXNs9KnHNOcxx5ll0ci6Mc b8aa8TkzFNfRsM8DvwEuDtXFQp9fV8eihc+nLFY9zT+eZXef5xUh3nNPrL+9 HPf+IR1Sg2/4rPnNUOAyr9vM8WjqeJ7j2HHN3l63lTnB9S8H+ngt+nKJ/WH8 zzUHunutFn5/qccw5swN6fW6uf2XUD06GHg/FCfGaLL3UNH974XqaCXvizmD tfRs+9zbvtLnp/0t9069XOP5+/i86P+fvR+2q9iHqp632H13eE3W4wn2lef2 jOesaFvs9rMew7WYu5gPeTcmN/8a4i/9etXjyd/bQronH+8M8ZccvCXEcd4H 7rYPd/uZNZ51nfc23tlY79k/1X33h+5zfb0H3j14V+D9gGMHhu4QvA/xe96N eC/id/ye94YBofHz/P4+j2ffAPvAvkFei99zTq4z0mfEPbIO8m7EO+Es16qZ tg+F6taDofsK27yTPBK6l9DymXf1HdYe699sj+N8zA1DQvmB8w32t8wBj4Z0 OcQ+cAztE/aHfnBdnuV3rtms1+TmUyG+bnc/x1OnT4Z0w7i/5lhz3wN9VqPM A/ZT38PMGXJrxAFcG+a+F0N3u7L3bB8SqnHULfX0tt+xnzmcNennIs0x3N++ 7rmqml8jff70cZT92eN6xlrGdV7ynMP9Pb9ljnwlpEHmidH2n3n3b6EcSY4/ 5376MMFt+vZmKJezLlADFdw31j6zf3woZ4z3uAqeb6jnGef+8t7rRH+bfhc+ D55Ldfszwefa2OPL9sp1We/+4fGH+P07npN9fMecytzMerDXvCAvqQXWJcae +bkkcY9Mnd1e4D+pfL8QtmIqBvNhy6Xi/y/YOqm5dwP/TNWBurAnpXzYQh9S tWIT0ClV9/4Le3iqlmzk3lN1aTJs7VTdmg1blOLcp7DTUxz9AvboVF6eCVuQ yovvwdZK1bOfgY9TNecT2Aap2tMCtmEqt34J2yMVr1mwhSltz+F5pmre98Ck VJ2cAFszVfMW0u9UPVkAbEid5SrY7qmasxo4L8U75ivmeeaxRbCbU3XmONgl oTrXBO2vQ/eaKmhvSeV97nW197sGtmUq1l1hu6W1DHyQivGPQJcUX+YBH6Xq +smwX5mTO4EPU3WV85WYP4zbfPNnLuy6VB5aDLsopd12sKWhGnU82h1Sbd7v WHtq+jzq+0wYh/2hWDC3sG4Vm9O871G/PLP0uZEjnc0TcmdziD/kyLchnswG RqXyZ0fYtilNvw67PnQ/2gq8m8qJxV6ritu8u1e0new2uVDBfJhiP+lbf4/p 5xiyZjOH9PP3rKvl8d2CVL650mMY8+apsz7GetoT0hQ5tS3EqyNSsWFcXoF9 IZXvz4ddE7ozPoj2fan6dCrsKal1RsO+mqon5NSx5hXjdphjR542NlfvhL01 VTsHwd6Tqr2Pwg5O5Xry6IcQl8iRHfaf+t4V0jj5dZY5Ng32l1Dt6IP2N6H7 4wi0h6ZyzZOwj6Xq6nOwT6Vq8lxqK3U/o7bGW18Hp/IRcxE1PdG6Hgb7WSh3 cR+3ey+3wN6c+j1sBsek6hzXf94+NKNWUhz9HHZOKjfTl2fsz9OwM0J1/zLq LHUPps4aWWsrYFem6s9yajZVlw5K5RTyZyzsm6k6zRj2SsXxLdhDU/dvnl89 n+EZsMtC/0tdiPYFqd/POHaMx9/FWKXuUtOBR1L3lmloD0zdW6aifUfqTsVz ejZ1VrfBfhy+L8E+kKrp5NT95hXj/7A58FBq3K+/c6bW4Pxt0G5vrb0IOzN0 txmQWvvX30jRvte84lk+kTrPkbCzQncYcvwl85x9L6f634CtkfrfhnMPT81P jr9mnpNHQ8ylx1NnwXM4He2lof9Z11o/PPMzU7mMWlhnjpKf5F1Tc481YWqq LjDmFznufamz1B23EuySVD3tD1ucujdcDXtV6nfHDaEcxPzD+vbvVI1jTXs/ Vdcuhb0k9Vsv6+eUVA29GLZ36v9S5q1lqdzF2vW/VP3i+j3tw1LYE1P3t2th r0n9ZvwRsNixvo48St25b+Tcqd+GecaX+5yrwrZK/U9zE/eUuruz/lRO1aD/ Aw8KArI= "]], Polygon[CompressedData[" 1:eJwtlnm0llMUxj/f2ZR5/CNkaNJCRcJqUJqkSLUyNaquJBf3NlJpEdJKlkpl CIUiWsYWFisqytigbnWV6l5SQpShZYrwe9Zz/vjd/ez3vN97ztln731unZLy nmXFQqEwAwJ28ufLVCj0ggXQB/86GIY+EfbBNrgazoQVjB3ANoFuyR/pBkPR M/QeuheUoWvBkeivsL2hObyH/xe2EXSF/vjvYlslz1mKvxTbGkZBOf4ybBu4 DUrwh8AI9MnwH1wQXst58C9Uw7VwruaTZbwP9jSoh94Lr6ObwhL0H9iz4TK4 AX8J9qLkOb6A5XAxXKU5GG8WjsW+omOzFjrnGB3EWHcoRc+Ew9FHhffeD+qj V4bHntE60e9gWyTHrAoq4HK4Bj6H3bzzCvb4vLf1cEXeY0PG1sFj6GdhI3yH /xK2BmxX/LVmdI/ks66EnvnMz2GsSTh23eFg9Fp4NPmbzdHHKCd0VsoBdCU8 iX4u+Ww3wZX5jAcx9g32JGgL62AXzxZiDxCvIroH3II/S3FHHx3+tr6xBVZD O52Fzoyxv7F9c0wa4K8K/3Y+HIreCE8kr2kDfBrOxZpwVvgM+uU9J3QrGIh+ BLbCGugAQ+A+xibBnTrXonN7GzydnOM3om8O52bt5Fy9FX90ztky7Q1OSX6m XBqKPzLn1Ej0cDgVfXtybo8Ia+X4ZmiPP1hxKDo3+uKX5xxpij4OBiXndAv0 CVCCHqA8RbfN+9OZ3hRes9aqNQwO15BqZ7hyGn0sPKV9KD/CMVZs52nN4RxT bumbO2XxW+YzVq5Xh98tzWf3Av4D+QyrwjmvXFcMVevXh+dWzS9EXwJ1k3+z A/11ONfnqGbCPUm9SDFoh96e16oYjcfvAKejx8FY9DgYq3MtunbvCI+phu/S 2YbHxuNPQN8d1p/xbCr6QdUU+h6eTUTfGx5TTtyPnhzOjQn4U7TXsNZvOqO7 aE/49WEaenr4WxWMz1MslLPoKaox1Rqsx5+EPxv9eFhv4NkY5UY4F7SnuTor rSH5G7PQD8PE5G/MUW2Gf6t3ZqoWwnPrnfk6y/DclTzbhV0QrtU6qkH0ZpiL vjC59xwR1upB6i014fzkHrMfGod7VWPYA4sUQ+xUGBXuweq9Y5LPqmO4tnVm qoXR4THVxMvo3Tl2qknldqNw71WOt0G3zv1K+bgY/ZvqPLkHqzd+zLOHknuk cqtTuLaVY6rNYeG7RDXaEr0415rq5038n7FnwKV6B38PLMpzqPb0G72rGnwb /Su2IXRRTPC/x9aDjvAa/o/YBtAJnsf/Nse6PfTG35F8V6qmNFftcK/UnJ+g u4bvKu3pI/QH4bttus4DXgx/S3P+Am+F1641/QRvhOfWnn5XDYbXqjtPvfOw cK2ph6pX789nqZ69Kfw/gv43UE7o7qwbvlt0h1aE7wTdBbOTe/WH4bWpZ29F bwnfldPwf4BXw7FRTGoo98N3k3JKd8Nq5XTyHfEPLA//r6D/Of6EZeG7Wv9D 6K46JDy37qw14R6v3q5vhGo3fLc1y7m5N3ktytFa4ZxVrqpm30/uqQNyTvwP PBAlGQ== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXWcl8UWxn/EOwNSgqS70rBLuCBgKyghrYQgCiiCLQJi17W7+167u7vj it3des0relFSQpT7fD3Pfnb/OHvmPfPOmTNnZp7nvL/tNHPuhDl1S6XSfP2p J90il0qTU6l0WlEqvSVZUr9UWik5SbY91XeHbEdLfpNthaSR2iVJHckbksWy /S75VO0bJMdJ3pEslW2V5AO1l0uvkXys9vWSYyXvSZbJtlryudo3Sv4hyZK1 sv0p+a/ap0pOkXwjuUVyouQ7ya2SkyRfS26WnCD5QXKb5GTJl5KbJMdLnrbP JN2gCN9/SRoWoddJdlV7tGSMZL0ibKwzKw8bSneVtHB8+GgqqSepL3m2CN/r S5pI6rqvue2MaSNp7P4N7IP5W3k+8traurGljn219Tjm7OT38NdB0tI+yj0f MW5kzTxljou+9rYx5nnbWVtH+8BvZ/tmzoZaewOfjZaOl1i7eRy+R0i2lmwj 6WVfxFjpOJizhzXxDpL0lwyQ9LSNMZvYb3dJb/sglm4pct9H0tf7wHuVsneX nK52P4+rcCzV7y6QVEm2lGzqOJhzM+tejqPSfZvb1tsxVrhvK/vp43X2dbzb Wvfzu+Ve80Db+juuMvft4FjwN9hxMOcZki0kQyXbO1b6htnOmNH2S/6G2wdr HemYiGWUNe9t57Xha4zHYZvk8ezbRM9BXI2Vy0aSs9jjFLGMl+zomIh3gmNk zFj7o29n+8DvZPsmrl2sRzm/mzqmKbaNdn4HOFczPAdxvSwZJ5ku2d1t4nlY colkb8ketk3w8y72vad9ENcsr5m49rLmvZnup28fjwMD7pdcYB/3Ss7zPHdJ zpZMk9wtOcex7SfZTTJVco/kXMe7r/3Rd5/kfK/vAcmFnv9ByUWOcapzSr4f klzseMFUcBHMaqF9aS65Qs//lFzu+ZvK1kTyL7UflVzm+VvJtkT6NclqySrJ wZL1ZZ8tPU9yiGSOZK7kUGvsj0gudW6OkMz3u8cUgeVgOhgOxoP1cAH8AE/A I3AC3PCn2mslhxXBC3ALHHOk/TEnHAEPwAfXFcEPf9QProBPwG7yOMY5givA dbAbrAInwItnisD6ogiugB/AULgCTgBL/10E9rUrgivgFrAarAd71/N8YHYq angCvIYT6G/o/cCWPUfjWuPB0pYeA96Cxc8VwRPN7Bc8Xt9zg+tN7KuF++ra 1tjztbSvap5o5b42foYDT/Q6GNfWfXDgCY6dMWBth6KGJ8rtt72fm9tW5jk7 uI9nsKyb5+tkX/ADHNmlCE6gv6vXVmYb/ipqjQczwVDwG3yv8jxgcg/77eXn av6o9Jy93beRbRWeD399PEc/z0Fffz+vkCyXHFTUcAB4tIHmX1gEV+ADLAVX X7QN/CU+8BYcBiPBx3Geb2v34Qss3K6o4YZtPD/YCyYPcP8gxzTQ7xHLYI/H Bi6O8njwc4TnBmOHeb7hft7CtqGOZYT7ziyCV4YUNdww0nOP8RzEMtbP4Aq4 MNdx7Oi+K4vAmzlFDaZP9tzg50TPN8nPw2yb4Fgmu++VIjB9mmOZYl/Mzd3e 1fNN9fNQ+xhvAYN393tg2z4eD+7v5bnB1D093yw/T7RtRlHDAbPse4b9TrG/ vT33fp4DTAU7Zztfu/pdztE825njQs8BnoFr4GU1nmJb5TZjwBYwDfyY73cP l7RLgXv0r7UfxlxTBOaCt09JX+vnq4uoy1e4VoYjwKrbi6jXuI/cee5+yQI+ 1LGAjXU95ni/yzM4CSaBi9Te9Ws90368iDmouyp8d073+WCtrOmJIr4bOH8d 9U4HySLn+3znHO48x+eBfT3XtsWSO4vgWt47z/3szSXeP3J9gf2xlxd5H+i7 2LYuKeYf6r291D7I/Q3O/zHOJ3zW2vw522u5wnvIWbjc54F8X1UEx/F8mX2z b9d779iHG2vl9SbnFsyi1uOusyc3e0/Yh1u9F+TjLueE+vZ27+MZzid3fcMU PAc/nu1c8T5n8H7nhlze7XyS73udS3J2n/NGXu9xbsnfA87hmd4/5qyruR6T PsD5e9g5ZN2PeO3syUPOPXl61LliHx70Xvzic8M5wd+T9slaOPdwNucOPuas ldkGT1JXvFnEOX+hCP6Gu8tTcCpc317tjVLwOhqehX862QYHgfNg+sZ+Hz/N nFNwHnx9qYh3trD/Mvu6w33Yqaled/xo8GF/yatFYBx70TJFeyc/v+y9uNPv Vb+zyH2z7QduWuxaijP2ptdPLcXdpabh7i5xjcW7S4uo8YhnmWuypa7J3vG7 7xbRplbjvv7svcBG30p/p39YRB32fhF+VrvO+8C+6ae9xvO8b5/UbB8VcQ/Y wx+LwAvi/baIM86d+KKouRNfFXEPuIufFXFvuBP/KWKt3KdPiriv3I/vfUbY t5+8d6xjofeUfLztXC2wvcq2t7zG34rAF+7Nr0XkfyfvAe1x3v//2SfYxXtn eW+W19qrJbbVS7EHB9i2zHZi+8V5nuex1N5riqjFaYPvcAO1cX35+d1jqVVW +p3f/XyQn1fV8reilm21/RQp5jjYtj9sR9Z6TtbJvZ9uGzX6UZInNHZWCpyY I31TirtalZV3n/vnpQ9IcdeflN4rBfY8J71/Cmx4RnrfFNjwrPR+KfDjKem9 U+AN95L72c570dH34XHpmSlwC/yr9Dc+dWIP/xbwtPQ+KTAm297F7U7+vQZb T9v5HevkFPe4awpuWM+/bTR0DOQEG7VGZ/vJ5oQm/l6CVxvYZ2ePZyw4VG6s QMAgzudMzXtainv/GL+npcDd7o6NNT0qmZECsx+W3j3F+azGMnDsEek9UvAD 9Sff6kOcv86OoZF5lrPaK8c+sUcHSvfO8b3YV3quz+tmah/hs9Jf7UN9/srV HpbirjRTe2AKjOU3whP9W9BdxJVj3e2kh6a4Rw+S+xzYd6TPFudqlxS/MzK2 kXTjHBjRVLpJjt/52kuX5ZiXdXT0Ws7it4gcHHaY2gNy3A34qYvz0MB5yMb1 9rW4oL33YpH9Vu8zY4d6Lyp8xsAM2lW2V3qve/qMsV/kuavPTxfFcnYKTu1i +xD76G4/Pd3GT5XPMd8NrLXc6+1qv0N8X1OK+9pJ/Wem4OmOap+RgtePlt5K z+vU3l7tsSnwir0a7f3qoP7TU9QTf++P92iI9I6eaxPpT1Pg/ALpXinqmyrp 11Jg6S3S/VNg/MbSV6fg4vncCd+PPtJvp8DYvtIfpOCFGYrh2BS16gDpUSnq lt2kW+XA2RfUnpCitrpS+gTPdSf3NUWt00/6qxS8c3eK88fZmyIfg1PULFdJ T3X7a+nPU/DVh9LvpuC5SdLNc/DHNWof59gGSY/xOXld+uUU3Hur9PEpasTP pD9KwXnvSL+Rglt6+NyBS0dKb55jD+epvUkOPnjNGEKd0DZFrcm3FvVFufeL 76+2trd2+8AiMJc6DH4Bi+u5jV84A17gPoD7B3uepp6Lc/RXEWeJeopaixq1 c457xZ0C+9f5nlKj1UmBu9hKKewdfD65O8faD/tYHSvYCG9SYy1wzNRJ1TzZ yjGDC9Q91Xzb0meStbfwehfaD+f5CvfNdd6a+x0wltwlr6vMOSSuDR0b54Y2 /W0cJ2PxRdxwKLY2PsNbKyfb5Fh/N+lzU9TEp6bAcTB8bA7ugXfO48zkqHFH 5+A2eO0v55Sc42NUDj/nqD0iR40+PAfXwrPgxw45MGRkDk6FT4fl4EJ48NoU d4DzPyQHl8Aj76W4e9w7sGG7HPgwKAdnwBfnc99z1Ojb5+AbuAZcGZwDW8CJ gTmw4h9qv5Tiu3PbHJwEH42TnpTjXO2Ug+Ph9x1S9P193mTPOWq18ZxH53xi invOHa9U/wUpviV6qH1him+JnmpflOL7YUSK8Yzl7r7v+3uD9PUpzuk06VNS cAT39VXf2Z2lb0vxbQeWgF9//6Yo/aLve/cc+8fecac/8b1uk8MvPm+XHpni mxsMuM44cLj0zSl+F+mdAiOwg4UX+ywdIn15ivNbkWMPyP993LkU3zE/SS9M UeOSj3E5cgJOT/e9IB8758gJud/Y+f9F9p9T/M9trfSfKermRdK/pqin13H3 U/zfbLH0byn+z3aJ9NQc32ETc9Rt1GxrpFen+H9aHdnr5qjdW0u3zVGjdc1x jjnDDdVukON/bl+k4BJ4ZEvZjjLufCP9bYpvA/D4yxSYXF/v1Mvxf7wfUnAD d5azMCHHeSDG4SnifDMFJ8FHYDy4D85/nIJv4JrxOWpN6kxwHe5hr19JwVtw 1lLpZSm+Q8Dvt1JgOPw5JQXmTNO46ZJmKfjnxxRYgu2gFPbvJd+l+H/mSuZP 8T2zQnp5iv89/h+yz2Pq "]], Polygon[CompressedData[" 1:eJwtlnnQl1MUx3+9vfdce/ZkxpJ9KSItKku92hPeIjWUssYo66CsbTO2LO1F i0RJKdkZYyJTDCGJUEoLlVYt3hSf73yfPz5zv+c59/fc+5x7zrm/2r36VvYp K5VKQ6Ec6uRS6UwYlUql0fBnlEpr4SH0j1CJ7woYgX4HfsfXACahl8DF6Fnw KboW3I4eAe+hazDugd3wGPZvcAzvGow9Hb0Zvkcvhm/Ru9hQX/TZzNmCvVV7 wF4S9i3CboevLTyHfjN5L3+E96o9XYVveLF+GeP58G947SkwGT0AXkN/AIn5 +8Jq9EBYh68hvIT+CS7BVwFD0W/ASr0LHkT/oD2gZ8M89OdQH70i7JsIo9Dd +f2hjGOx32KcA/PRC+BX9C/wD9+3GHsQuivzD2B8InmtVeFYa82u2hu8j14P FzL3AngS/br2iG8mzE0+k2Xo5eF3V7HGgZqPPRh7LUxFT4OP0P11nvgvgqfQ M6AFujk8jZ4JVzP3cOx16LpwLfaR2BvRlylm2EvDZ6VvaoWvJTyDPUsxwtc5 vNZ4WIj+BhaidzK/A3Pbw/PYc/SO4gx1dsthL7oJvIJeAdWZ2xT7VeUmtMFu Dc+iZ8Pf+BrDy4o17IOvGfbU5DNXbv4XfpdydAe6KrzWo9CZ+Z1gJPpd2IJv e/hdjyTXyvpwrqhmhqG7Mf8gxjHYmxgbwWT0z1oD3UU5xzgEewPj5rDvYViE /i4cC9VEibnl2d82APbTu7PPbhB0RF8Kw5RbMFbxwt6LjuLbd8Ky5Bj0RNfO PkvldC/sE7JzW2d0PfaJ2WelGPbAPi47t5QT3bGPxd6UnHO3YJ+G/XZyj7gO +/js3FHO3Ip9Rnbs1GNuxj41e6/D4Ubsk7NrWWfeGvua7N6hGu6BvquIZU3G m+CU7NzQN6u22vDstuQaU2zVk9SLFOMb4KTsXFDPUG1V8KwiucZ0Vq0Yeyef 2bnY9ypm2NuTe9Ed2NuSe5JyZ3+erUnOoSbo/jwrKY8UY8aRUB0+1BrZZ6az 0m9UO6ph1a5qSL2jG2xI7iFHqN7CtaVnvdGnZ/de5eA56NE8Ky/2pFq/Uj0w uebr4j8Lvkz+prnhnqheqGeHqL7RNZJ/0wD7fvVo1Ro0ys6hKJ6dhz0GnYqY tAz3cPVu5UBjdL/i2/fAJHRTnlUrelQz9GEwLfnZxnDOK9eXJvfav8JaPXdX uAZVe8pZ1c5W9cjkGvoa/ZXmlLtnfKHv0rPkZ9vCNara1G/aoceFe/Fu/A+E 96y9qkbKsmtMtbUS7gznXM0ip+4pckK5sAPuC8dMsaqCidgTwr11AvYU9N3h Xj8O2qLrhH3qsepd1bLXUg/riP0CPJ6ck4p1w+x3K+YvwniNykfWaI+eDh/L nxzbLkUvUYx19/Ypck/1swa9Ovzt+k3OvvN0161K7p2RrdVD52F3gn7Jax6s Wsxe6xNYgG9+eC+KeQf0jLBPOaXcrJ8dK+Voi/Cdq7tW36jaqJd9t6tGjkbX yr47dCcODN+pukt1R18uX3avUI8ZEr5DdXfqP0Ql+jPFMHnPR+nssu9O3Un/ A0uSRfI= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0TVOBlEUgNHB3aEgSPJDaClYCmEFLAA6doEEd+dHWtx7aAnUQHB3lzOB 4uS7yeRm3puJ1NZX18UEQdBAJeGcQAoZ5FBAISVEqKCKFrItTOo+ReZiNsI9 ndKDcM9cyqY5V6f1kDxzPjPmHfbYJco262R5PhGeRcc1U9c0Xcc0VUc1TVfD c+uIJumwJuuKJuqQxutgeEdd1jgdCO+t/RqrS8Hfh+iTb3r5YZEvevigm08W eKeLVzp5Y54XOniinWfm2KKNWVop974yms0PPHLLPXc0ccU151xyQSOnnHHE CcfcUPP/T38ByJBAvQ== "]], Line[{220, 213, 193, 278, 172, 277, 173, 279, 196, 281, 175, 280, 176, 228, 282, 178, 209, 210, 145, 207, 288, 197, 287, 198, 289, 201, 218, 177, 217, 223, 224, 206, 208, 195, 205, 174, 204, 194, 222, 221, 211, 171, 216, 192, 200, 199, 219, 220}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{293, 292, 296, 640, 631, 632, 630, 634, 633, 549, 636, 637, 635, 639, 638, 550, 642, 643, 641, 645, 644, 551, 611, 676, 583, 629, 555, 627, 554, 628, 548, 295, 294, 293}], Line[CompressedData[" 1:eJwl0ltTzAEABfB/fRM9ZSaXKMotIrMhl1UshWqUrbSLJ5+AJPfStvduu6uL Ukm6kG/Wz/TwmzPn9cw50B0Px8qCIEhTUR4E9Uq9HOULL6jjM3fYZovnnOQT bWzym2ec4COtbPCLOLV84Dbr/CRGDe8Js8YqgxznHbdY4QdPOcYIN1lmiQGq ecsNvrNIP0cZ5joLzNPHEd7QwhzfiHKYIa5RosgTDvGaqxSYpZcqXhGik0dc 4S/NPKaSHU7RRYRd7tLDQf5wmm7u8497fOUMY5xlnHYmOEeCBpJ0kOY8KS6Q 4QE5GslykTwPmeISkzQxzeX/m/vCBElSpMmQJUeeSaaYZoZZChQpkWCIl0SJ ECrb/9oeLO5MhQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl813McwPHvjpJaIWsl3blCKUcqpQMxQkZItbQi50blDN25FaHkKDmK cjaKtbX7dIWhdmclZyhHkjw/j/547vV5v3/bb7/f9/fduqZlpKTHRFGU7Etm XBTlx0bRMj0sPoouo8F5qA7jG+cPGeDcmj70Jtdumt7GrUxlChvtM/QWbiKd m8mxv0FvZDLXcx3Z9tfotaQxiYlssB+nqVzFWMaQZX+FXskotpov1291tB7O 1TSax+s2naBteJXt5lf0O12pSaxmh/l1/V7XaFve4kfzm/qTvq1HkMlO81r9 Vd/T9qzjN/P7+ruu1yPDe+FPc5b+pdnaKVwr/jbn6B7N1S7k8685T/dpgXbl NPabB+mZnEEcH/MRI4mlgqOpo5aLiaGco6ihmouIKOMLz9uMBA4lkSRSw+zx fhzCCeGa8LV9PS3DtaEVLTg+XEMqPVZHY/jecB9xKZtJ4Ae+8vjp4TMMn1+Y ac6XHByegx5soimf0oTPOJaBDGEwvTiJY/iEeC6hngaO43MOIiW8X5qFzz38 Pq+jr3bjF7pzISMopST8rO+p5T8KzcUUsdfcOdxP4XU619DT+R/dHl6rnqod +JmOXMD5/BH+tsL70mp28YF5t56iJ7OFKt4Nr83+nfA82k63hffqnKzncW64 ruY3wj2hVQx3PofXWBXuE7stnO18FvcwPdxzdps50TmR/uSZ79A7uZ27uYsC +/t0Bvcyi5kU2s/RucxmPvPCdbJ/QB/kfh7moXAN7R/Vx3iEhSwI19v+CV3E 4zzFk+GzsF+sS3iapTxDmf1z+jzPsowXKLd/UVewnJd5iQr7Sv/zKiinjFJK KKaIQgpiD/x//B97Y71q "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1264, 1263, 1436, 1579, 1732, 1618, 1731, 1619, 1733, 1660, 1888, 1661, 1694, 1693, 1581, 1736, 1737, 1735, 1739, 1738, 1582, 1741, 1742, 1740, 1744, 1743, 1583, 1746, 1747, 1745, 1749, 1748, 1584, 1751, 1752, 1750, 1754, 1753, 1585, 1756, 1757, 1755, 1759, 1758, 1586, 1695, 1696, 1663, 1703, 1580, 1609, 1705, 1704, 1620, 1734, 1662, 1438, 1268, 1267, 1266, 1265, 1264}], Line[CompressedData[" 1:eJwl00dPlFEAhtEPZMCKXbELdmVnwQbiCCqIo2IBxcYoiproX7Bhwe7KRDdK 4sKOvWH5G67svWPv58bFyfPeuyDMnUx2ckP5+pQoiu6RGYuiNOrIT4+idhnu aE1b2jDRfUttRYwM0pngvoWmEZFKCuPd/+EvP/nNL8bxnR984RtfGcsnPvOB Zj6Sxzve85q3vGEML3nFM17wnNE84jH3ecgDRnKcjRymlFE84SknOMkMCmjv M3TglH2aMibR0d18PcNZzlFIhftNuoBOdoV2Du8W3oijzsdYSBfnSp3JZLo6 L9JGzrOFanebtYE4lc5VeoQEU8LfcrdVF9PdzqIbS5xnUUQP555csC+yjaRz nfbRYu2tvejLUudL5NsFbLf76TK9HN7ALmSH3V+X65XwOew4O+1srdar4f+0 i6i3czSp1yi2p7LLHqAr9DrT7OnstgfqSr1BiV3KHnuQ1ujN8H3ZZey1B+sq bQpvayfYZw/R1XorvIs9m/32UK3V28yxyzlgD9M1eoe59jwO2sN1rd5lhJ3L OvuQ300tVSSIk0cuOWTF/v/G/gHH2mPD "]], Line[{1435, 1390, 1394, 1398, 1399, 1400, 1401, 1536, 1659, 1850, 1658, 1848, 1657, 1849, 1690, 1847, 1656, 1845, 1655, 1846, 1689, 1844, 1653, 1842, 1652, 1843, 1688, 1841, 1648, 1839, 1647, 1840, 1686, 1700, 1646, 1685, 1645, 1885, 1884, 1607, 1883, 1684, 1878, 1730, 1838, 1837, 1877, 1616, 1606, 1882, 1683, 1644, 1650, 1887, 1649, 1617, 1608, 1886, 1687, 1651, 1701, 1654, 1435}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.8499999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.8499999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUFte2wNHYS2wxdpRYgga7QY3o2GLF3hV7x95jiVgQe0XQoIlYQFRU sGH/FBVFBRFBFBCQJr0JFiw871rz2/PWuFxeb+5999338te3fmvPPt/eZ+bs c86efcZkzIy+4/MbGRlNLmxk9LffZYvfNzBeFWYYfW2lYbiFh9Lx8vRgjwEP hEvlv/zSztJHeLDxorKeZw4Koz+085OwK+28RR9GH0YfRr/A0VchfcffFX0Y fRh9GP1BRYtZz+74QPRh9GH0YfTNLlaY1GrgI9GH0YfRh9HPN6P2hAKTnog+ jD6MPox+8pZKJ+Itnoo+jD6MPoz+AOsaje/ciBF9GH0YfRh9Q4fvPY73jBd9 GH0YfRj9utUaNNwekiD6MPow+rBPXL4nVtGnFPsXzY79MipZsZrmbFI04LYw 8nf3WtUfnpiqRO82XzFxWoghYv7ekg3H7lQsDT36ZC/2F8Ye2GWtlUXTny4K i/5az+mFqiZp+iqLvsqirzL2w82Orj1Y5OttSpexZ1OTDqQIn7AwTL1XP12p 4VH61i5nb5HTP9hD/8DSvspyvfp/cr3u/+kvmP5astn61yEjNxoqmqSsqDvA Vdj2QXpPv4WJSm73Sf6GZ/6iX65PbKHI8YeUwXbvLB3Xp0n/w/jD9bTXou2c TcrlJGHsu7zp0dy+Z32UNPcXfp75U4TpD+63Xk77jTc4PWq/8LHB7NjhAWYz Zyr2RwN/2DA6WDjHv5hNcNf7wseiVh1oPe62sIxvlWfVfNEtoJm38KS7d6Nv FDslzP0uVnfPhfSR5+V+wPhnPn/rpTo9TwtHhrmfOzvLIPoNc5Mer+13U/Rh rr9eI3aoy+3rwk4PMgdPD/cV/ZSGXyVvvBAg+jDXT7fLG9g8zV943267ekZG gaLvHV06caBfsOjDXF9i/sZDsWuChBf02m7qWyZE9B0djJ9VjwwVfZjrn5ru OnjU6bGwZf59dbbVDBf9qV3M4hIyIkUf5vozYW4u890jhLeEDtp21ClK9J3f 7c4cvDxa9GGu79Q57H71yKfCuSdHlNlWM0a7fyH7Z7YuFqfdP5W53qNGdO8C k2KFx20cv2W+e5zoz/U4nG5i/0z0Ya6vnJtwLyEjXth/wtRSw35MkOeV8cDz CfP8wTx/MP+nH0/MtzDzJ8x8CDO/wcxXMPMPzHwCMz/AxHuY+M14xF7iFcx4 hIlfMPGFePDV/q3mt8tcUvZVWlSyVudUYeIZ8Qe5+KeOX64nnnA9PGPPXOMF 7teVKmtChvv30+Kxz2pDio1lXBvsg7kfMPFkm6Vxl75Nk5WqYQeqGp49MAzr n2vU5gNfaVXPbv/Mm8LGBX+wrNnZXXjc7LpXajqdUODDTZvZpxzxFV5y1e7a L21D2pSyfXQizXqdcOiA5FFzbu0VDgrb6r98u5dw2/nubsN/uCS8vd+4mMDU G8K3nWcFtD13S/iPcMOME0UChH9a2WnC5On3hedu9pu2uHKwcGnz/uOaLHso 3KV92JSOZqHCsQmjx7zZGiZsnJMwuWSbSOEnfs0bRfeJEn7d703T5O+jhTsf bHPcJ1TjsfXzn7znESvsueznBkfGxgn7FSra5FTLZ8JVhloe3ZyicfOoUp47 vROFVzXtZzZ3XpLw3nPfNvq1e4pweomhRwa/17i4fbXjo4PShIfEj6rXenW6 8n75qPsJU2/K83osKNDW+fVBme+bbV9cYGG1uMvM3+jL+FVZxq/KMn5VlvGr soxflWX8qizjV2UZvyrL+FWZ8Qvr1w88jwEX4ucmr72nzffq9YzHpO/2BBrf /3h8mi9tfWLT8FTFsCi5cmqDXdKeT+F5XULzriuDuy7zzcifqvmbknIg8ulh 4Xs+91LyNU5Uvj5YwqN29h3NnozCzab86Kf8aOMeOcuQrDgt2/rbkCbnlPT3 DwsGt0mT9QzXw1sLfL9x5KJkxcLRdGO0m4cyb0wrz/Kh2vqmxqlbfuc2pilB myb4FjE6/dF6h/G+rbnvozZ19hv045X1jumQ0NcO9bzk/6fPP9DSZslV4Ypu 7Xr71PBVHhXqdLjWGG29szF44bCJV1LEHn37xMvAxCUDz16/JnLWT3p23vfy 6OzqKcoi0+BmXmvuSPxj/Ys/rH9h5j8Y+2if52O6R8cu8zzTpT3iY88SF5Mm xzw2NLq5vothgHObb0os9KlSSuP59T0rjX8ZJOxRP7v1yTvBwthDe2V7mW19 e/K+yB/1TJx6LDJAeHZU+2Xpm32Fk6Ju3Vrf4o4w8RrGP9p3r9lyhnHRayI3 r3myzopRV4XT7nRyqjvmhHD03b4/jDl5WpjxLutD9X7tLL3V/U7hk9r4cx4Y VzT8isQHWQ+q8pzUsYELDl4Tnlxo9tNdebfleln/qfI9/Wz8i97xEy52xifN cWugXC/rPVV+wKpHXI+XWjyJmBSUMnJ/iFwv6ztVvqjUsJhviz4WPlUlOsn0 dLhcL+s5Vd7Te9LTyMoRwj8/W5D9S0yUXC/rN1W+9acLM/o7avHq+JWlc4ZP jZHrZb2myt+U805rUV2bDyo5rcpqlxMn18v6TJWPT701rZqbFu9Wztkwq87S BMVtxK1npZ6Hyvg9f26q77y8EOGpe1ts2nctUPj9q3ORpZ3vCY+41WeytekN 4SLvmg2ZuuKycPtvbavnZp4TZv0g40e1l/kD+1o6P5wSf04b74PqOM1I35wq 1zO/IN+/8EnS7fZpiunVsqaBZZyVjrPWKDvnpCvFlhm1GhL2UP6P9Q3stOqp d8ggP2HWOxJv1PUU/KjUvqoHA68oXp2GtX64V1uPzfo10L/ly1Slb27TFnbN r8l6zLmrX1S1vg4yPrzW/9RyQeVlH43Hnx8kNkrqc9aAfTD2wPQfjP6t6nej K/6wRfRh9GH04aTnI5Nm7QiW+ayOZ3qHSJ8n2n7Ty9Czzpto4XsOq9+El30m PG1uLzf7esnCxftVGNCtfbpw8M70ZUZHM4VrrekXEnb2ufCcBV71va7nCHtP qGK7LeClcJmBNqHTwl8Lj/o5plHXhDfCx5t1Xl0r+51wXs0jT/Ly8j7Kn8j8 rPoL4y+MvzD+wvgL4y+MvzD+wvgL4y+MvzD+wvgL4y/MfHmqv8nDGi0zxH8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/F/8tUD5e1/zRT/YfyH 8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gf+MGpgMKemeJ/zD+w/gP 4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4/8DpyPbFxTKFv9h/IfxH8Z/ GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8b/NYUbBiV2yxH/YfyH8R/Gfxj/ YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/G/zZzT5Sz2vxC/IfxH8Z/GP9h/Ifx H8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/2LL8ztYXbO5/lE+G2b+xfqK/ZL+u7me+ Lh6TMyQsQ/j6ggk/3q2eJfxLbOLcNuOeCzfoM+2Uh1u2cMyljOffpeYI6+1j fsYe5i+uJ57DxDeY8Q7z/MM8D+zXWI+Rzy/5fNmGIgHpsh9mP8h6jv3umsDv d5gefyz9B2N/9M1hr7qlR4kcRr7MtaZLvsJxIoeRG69K7nPWOFHkMPKLY0++ n26eKnIYef29l4LLHswQOSz5iS0mZmknskQOI79rs2qF7+VskcPIK89IfHTg 9guRw8itR/RouOzhK5HDyM/28Fw1LDpX5DDyIq3Lh5unvRU5jHyQ2cImZXPf ixxGzv61edjuyR5W7rK+hVm/z6wR3sSk7UnhTfOWTzNuuc/Afp3rYdbH7L+R w8j5f5j2YeIL9odcXZ/61YUwed6IN8jXGTbub5HzVOTEH+SmfwzonV4iXuTE I+Q+S6q9c6mVJHLiE/Jxw+IOWVmkiZx4hTzf7wOPFK2XKXLiF/LeG87ni/vx uciJZ8idFxsPvtIuR+TEN+Rp1iuO7erxUuTEO+RthsYXWDDktciJf8g3dO02 rO/4NyInHiIPb3HMs/6sdyInPiL/wbRskaK/5omc/aR+//X35r+Jr9aHH0wY UV3LVyVdOGDnsjFNKRtSd//YgsGSL+q5/dzbgGZPhG+41fqh+olo4bGrU0KC feOF8004ZbvhaZLwno5LGnd4nSbsXOa79CVrMoXTjOx+Hrz9uXCbjMRdTZ1z hDdE9sj62v2lcLi/Z5ckr9fC9S6X33Pj2hvhRUcX5jjfeyd8e/eT7kvC8j7K xwWeDzPxee1hgO+2XbE56Iargf4nf5Zb2fzWlGmfzhejb2FetsL+YxnC0ZEn g0oXyRTO2OcwsPxzjR0tm3+z0jJL2LVUJcfVzZ8LW5473y9ni8ZDl+wOfr04 W9ioThv7icEal06sXn7qlRzhM9uuBj6u9EKY+QxmvN/tf3HK9HVafpj5Dv+z Mp7HVgz4OD9sZFdpyqLhWn5DP/+RX5R8mDofyvsFdT6EmQ9hWY818bf1LRP4 yfyzPn+iz198Lt/M/Ii/zIcw8x/MfAczv8HMZzDzF8x8BTM/wcxHMPMPzHwD M7/A3A+ZT9T+/NouvMMSu9PCf/TPtyNg8C7D//f8r3dpx8bL6j6U58vjdGav ytUeC7/3q70+dXCE8LxzV4I6uEYJ/35j6Oz6HWOEy+1cszz3UqxwqwPfVY8d 9kzYc37vBp7BCcKPVyTdcZqTLNxrQMWwiakpwgtGn/ilz/p04VeVMjpsXpEh XKzGpbK297V42qlofyfrTVnCQ0uZTB75RIuvjq+8Mn52yhZ2e29r+ClRi7ex z6p0NnF9of1fakL5b3O0+NssxOb3t56vtP97Yjk10yhXeIVPzPOQSxo73vXw vlvirXDg6c7dTvpqHHvhm0puFd8Lf+dyxHlTsMYbTna67mCsxW+eb9b7PM92 dbNOhYzX2DHlgXl470y5nv2AxGvHedldD2vxyHLIoPk9HbLkevYLEr/zv256 MU3TN/IJPX3l8XO5nv2ExPMZS+Y0aKrxmSYjcpoY58j17DeQW4XnnXBeoLH1 nqfNXMa8kHyujA91P0h/jEofHmHeLlSY9Zs8Tw9fVOnb4qkw6zc49dTlW0V6 xwmzfoPX29vNM0xMFGb9Bted3fO7+Tapwqzf4DGm6yc63tGeV9Zv8IkK6Zdm hWjPK+s3OH/hft/0iNGeV9ZvcO8XZ6xN07XnlfWbrDfiKl/96o32vLJ+k/VH 0NIKkYW09QPrN1mPXI+edr6stp5g/fap94H695NzX41+4Z4aINfr8/Hc7yib 3i8nl9Dylazv6E+Y/oPpL5j+gekPGP9h/IXxD2Y9BGMf6wfsg7EPxj4Y+2Ds g7EPxj4Y+2Dsg1nP8r6e9S7M+IEZLzDjA2Y8wPgP83/UA/B/MP8H838w/wfz fzD/B/N/1BvwfzD/B/N/MP8H838w7VO/QPsw7cO0D9M+TPsw7VMPQfsw7cO0 D9M+TPsw7VNfQfsw7cO0D9M+THvUZ9AeTHsw7cG0B9Me9R20B9MeTHsw+tSD oA+jD6MPo0/9CPow+jDrL/YH7Ddh9psw+03JJ6n67B/Qh9GH0YfRZ3+BPow+ jD6MPvsP9GHk7EdY31P/w34GZv+jl1M/wP4JOfsLqV9W9xdS76zuL2CeZ337 1BvA1BNgL3IYOddTT4AcRk79AEx9APYhxz4YOdejT72A9I9aD4D/yBkf+uup B5D+V+tz6E/kcj+oB6f/dfXhrBfZP8Dsf1gf8nzAjBf9/dDPL8gZPzDjD8Zf fXvEd5h4zP2CkRNPkcPIiYewnFdQ7xeMnPgEE2+4XzBy4gmsPw9A/0v/6Orf 6X/uD+OR+yHvx9T8IPXV5BOpVyb/SP0w+XJ9/apF/LVV880ypd41s2/nGwkz s5T5G8+53q6YoOjr0R13r3I57p8p9cDdixaNMyn3XOIFzPzM/cRe2qN/sIf7 hZz8Aft12tPndyVfr7Lka9T+Qw7r883IYf15AX39Lcz7CJj3D/CuAm/tHdc/ EG4Zc61tj/0hwuSP4XnO/ZzOB0YKc//gR8cyX5fLFyvM/db3F+s98i30F4yc /iY+079S76XmZyRforLkx9R8DXIYOfkb5DBy8jnIYeTkd5DDyMn3IIeRk/9B Dst6WH0eOW9Af1K/TzwlPhOvYO4X9fY8H/p6d3lfo+5XyVfL+Qb1fRbPD/o8 j+RTaU/yq6o+77dg3odRj8/4Jv7o6+953nmekROf9Nfr1ye0z/Mk63G1fzkP Qn8SH3n+OW/A/MT8BRM/GU+c76F/WM9w3uBpw/wTWq/TmP4mvjO/M1/DxDvO ixDfmb+Zn2DGI+c7mN+wn/HO+Qn6R/ZHav9wfonxy37ym6nL+y1vlKLwvov5 l+eJeI1/3A/Jx6vxXf9+if/j/znvA2PfjmqX77lVS/5o/6h/XwLjP8x4gek/ mP6H2S/D7Jdh9ssw+2WY/TLMfhlmvwyzX4bZL8P0175n3VefLnVdCZjW+8QW jyRZb9hdd9vreFlbX/hU/KnC967xsn4w3nzXMjnr6Uf7lbb3zDNPjdPOF5Kf pv82uLXqHjgjUUm60rjrb2Y3Zf6X81Jjx+1Rxmco7zf5rZre66GsB/b3bZ1c vWqycqV2xOVVXbca3qw7cDjUO0k5MvAHq+Hj7ihJJu7jy/jGK0ZrjM7sKvFh X1d67OHpVtHKaVPvfkvHxvzTz3skDPL5usNxH4O3h0PHtHmZyuz7Rgd9fgsy 2M126RqyWcsX/rvOgzQ64JKWmj9Z0dcrf+p8yBDb+YWsqicqfzQ6ZLLhrib/ R8+L8PwX61DLe2TncOXN6KAb0du0/cOfPU/CeFvn8Ghp/zvRiuW1N5srdoqR /cSOI3Z2Pp5RSoVfvvapGavp/6PnT7KuPDnrfTFU0dcrf+o8SoZt46pbnB/I +vdz51MyOoZZ2UXdM5iVSbdqXCBL+bpX+4XBFc7Lepn42ODx76cGWGcpWy65 TPJ5FCD7lQS7WV/V6ffY0PqG0W9FKmnr1Wd+Z+3nDHou8Zl88j/7fMuKd92v 3RqfIPsPWX91jlqQ4q89T586/2J5vMv2ZstiZT/CfOa/+XbKPDft/JF+f1Is Y+mVoGPa/f3UeZlayZMPne8cIvMt83WtzCOvir/S7uenztPoz8+w3j7Z6rQh JU3bvxy6tOeddXSWsjdiUOXkt0lK8PrNx1yv31T6n4/wNrQPVbJrXur88Mqz j87XTPRzq+YV80zuz6oetxtG9EgQ/mF0dNctPyUrI8oa+w+b7K34WgTU9S6U oNhefNN1kO1jpdTQBsPnpT1TthXa80e1e4+VvVbG8X0zYhSLDnOsDUFPlQt5 aSlpl2IUl157zpwuEq0cHmz9W2DcE8XF4fvePw/W+kvO73Ss0Hbq0ofKDNev q1f5EBdWLz9UKyxhn6FQ49BBab0zlGYH3sf2Hxdq4P11lE2Nx9u6a/uhdxNz To8fmayMWbalQa9px5T13+5INer5Ic5Gleve02TXZ8/j7CzapPyK9ERlWt/a paZaBF7Wn6dxLtmyfGJwkqx/qT+47JXlUHDtIUP7gR3a7umYJPmQ4HxVVjUp nqTM9nLasjDqvjLW4+JFv9cfnk+Lw0PL/hio7O4z0O/1f8uPhHkVX1/5g9/F TiXYB/wtf2JSZGpLZy3fsXX7homx1nHK6LF9F/cxj/ri8zn680msB+t9FetZ 6b62Pk4b7Xb/REqGsuxl8bxO9h/65VDd5h3HnTZMvjA+n+mNJGXR4vqmYbU8 DDyvzO/682wF+2bsqODlLs+TSe9H81y/cf0oHnCeC/tob92+4mn1J1/Qrt9f wWbC+cvCuZuq/Oa84abwik0OvQvE3lD+0fM29Af/f7l77cOzyvlLe+aWR7JK XrwnfNa2muulnAfCS21Dl88w0ZjxTntVx+5rUKdliMgHjo3rO7fkI+Hsdkfz 6tUOFz7fzjosvHeYMPFH6m1qNFljPylS5B8G68OZxlHCv9n8YWZZL1p4cd6S yrWvPBUm3tGeb1rUTKO7MSJ/Nj3/yu/NY4Wbj5jwOH/7eOFKER1vhoXECbPe pr2C7jNvT3uTLPKaZtvCt49PET7aM8k8sWuycieh1CizFw7KnCovmsyclSby AbuCanQtrDH7bdrv+/PuVtuKZoh8VMGj113aaFzkXcQM+46Z2vNi4R9vU0rj MdNMfZKHavvzzCbzndL+Vnc4zMLhWFdPxeGPEZMcrJIVu+7GS+pNOqfY11u4 Y1TrZMWmrjKvfjlv5eSM1W5GQ5KV3Q9dL7z4+YLs77HPuZnRtmnls+T/PLJL V1neTePBKe19pvd+LtzFrEnrYVU0Zv9Pexk1xyV0MckWuVHs3FlWAzV2C3Ot 2s0qR3hnFUd78+81Jl9Ae23K3WpTq/4Lkfd88Ohm8zEav7hdbE7tSS+F44vl JpZpqjH5BdrblN/MIa/FK5H/4W1hXG66xp3OT/c1mvtaG0+5w9umttGYfATt hWduTg7tmCvyFE/nuWkLNd5+KLB6uM0bYdvEq463umlM/oL2zJ4+b3em91uR W+wtcMd3lcaxO83ne61/Jxz0qHbq/oEak++gvSUBg3ZutXov8nVbJpm4bNW4 yRqnu9t25AnXurW2g80Yjf/V5/sW1PVKsdyepOS7MCRj92M/xT3j1bZZ05OU Gf27ehVxuffF5/8mfjfaqu6uRCXi8fzGOyIe/MvPA56+Fvy6/dRnSkDpDePD e4Qpd+q7rDitxCve+Sp9GFgRypOL9pGZ1eIV1+tFtq65GvEvPz94JarUE9dV UZKvMn8fOGWSR4TSv0jkq+GF4pVOBeu+XX8oUkmb7RN4es9/3nnDz51H/tLz iPrz2O8vt9gQ8XuAsv1+zR6rKycrPkOsU2KcAhX/iFalzsxJ+uz5xREbvfwj Zo43xJdcuce7YIYy4c7Nn2IDvQ09m76ee7JFppJrPW1hWk1vw/XxDlVu1M9U ltk0WfpHhwuG0FF9ZsfFZiiLqr6t5TA3SfJBC/x+NK03Snu/vnfkqxMhrbT3 3/HT9yY9eae9z/yz5yU/Oq+tOz/5ufPaA5ZG3YpwdpL8HPruNfs0d6iuvZ/s XOR6RNCMTKXblCdDDhVOVuY2WjKu2Dsf5ceDxeOT1j5Vqrjk1d1cO1YZnOQa FlMxXDkYsPBubslnyt13FR5abAlS9gRXXWx7O1HZVKhW3t0Odwz32/VNHXUp U5nrbm+43eeEwWifb5deuzIUi1vRC62zHxouvo0ueTUoS3kdt+FBn7oxSlz+ gR0yf49W7Iq+sPdqH2gIMJ5qP7Kb9n5F6vdePWwZ3k9bb9fNvvG++M4EZZJv w3rWx0OU96HtktM+7MMjiqxz31H4qbLJflvT9HGPlOBRvlP7zEpQGltk1Ww/ RMu/kW+kffqb+01/wuSHYPJJMPt9mPwCTPvk82hff35UX+8O0z5M+/p6F55P 8ncw+TuY/B1M/g4mfweTv4PJ38Hk72DsYXxgD4w9MPbA2ANjD4w9MPbA2KOv VyFfgH0w9sHYB2MfjH0w9sHYB2MfjH0w9pG/wD4Y+2Dsg7EPxj4Y+2Dsg7EP xj4Y+8ifYB+MfTD2wdgHYx+MfTD2wdgHY5++3ob8DfbC2AtjL4y9MPbC2Atj L4y9MPbC2AtjL/kk7IWxF8ZeGHth7IWxF8ZeGHth7IWxV18vRH4L+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2Hsh7Efxn7mZ+yHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/G fn29FPlB/IHxB8YfGH9g/JH8o+oPjD8w/sD4A+MPjD8w/ui/36h/v6Kvh+L9 CtfDXA+TT+a8Bvow+jD6MPqc70AfRh9GH0af8yzow+jD6MPkx8gXkp+GyZeQ LyO/ASPX1w8gJz8As7+H2Z/D7K9h9scw+1uY+6u3h/0qz6O+Hkxfr8V+TPLn uvos9keMB1jq2dT8rNSz8f1N6tlUlno6laV/VZb+5f0I/amy9KfK0p8qS3+q LP2psvSnytKfKkt/6urFeJ9CPpfzADx/+vPErD9hff0Jcli/ntTfT/36Ejnx AyZ+wMQPmPgBEz9g4of+/1nPSb0S38tV7y/zFfef+MnzQfyR+je1f6X+TWWp d1RZ6qlUlv5RWfpDZekPlaU/VJb+UFn6Q2XpD5WlP3Tfi+X9G/Uc1DtQv0D9 B/sdvq9J/QTfu6SeRv/9SepLaE9fv8D5X+4P+Sb6C+Z6vifK9eSTuB7meupB uN/kg7g/MPVD+u99Ml5g+b6H2j71HbxPIN7Ccn5ZzffL+WWVkfN8IYeR8zxK /ZzKyHl+kcPI6X/qzTh/DA9xqWVUtVaGMOePYfSpN4H5vqzb9jUDXzbMkus5 nwy/WpniHtgqW5jzyXCnOb2/Otb5hTDnk2HHMaeGrO33SpjzyXBsn4oe40bm CnM+WeoV2y0p1HbKW2HOJ8MrG0VZVVnwXpjzyTD3m+/T8jyxHmd8UL8JMz8x Pvieq9TTquOReiPqo2DeB6IPM/5g/g/m/sDcX5j7BXN/YO4HTP/D9DdM/8L0 J0x/6uvr5PyaGi+oT4WpZ2X8MT+hL+fZ1OupX4VdDbcLDDv9XPQ5z4a+nG9T rzeav6HW9kEaDzPr2dHvdbboc74NfTnvxveDo0uNK7Rb49K/3V+ptNHOu7Fe 43nS14sxP8LMV9x/ff0d/cl8BFN/CjM/wcQ7mHgo379V7YOJrzDxA2Y+g4kf MPMbTHyAme/k/bcaH2DmP5j4ADMfwsQHmPkRJj7AzJcw8QFm/tR/H5n5jfsr 58FVlvPgKst5cJVl/a/Ga9ar3C+Y+0m9KvsBxg/1gvrxQz0l6z/GC/sLmHpE xg/xhHpa/KV97GV/TDyiXp3/w3/qzxnPPF/MT1nLbL8/vjdRWZTg7VTF+BcD 7eEv+tjH/E/+i/FCPTBy8k/Iid8878yX+Mt6BMY+2iOeMx5g/CH+w6yX0Ge9 iT3I9d+/+Kt+819bv/nvrtf8v/b9kb+3XvRT3yfR13Pq6zU/V2/5pfWS+npH /fdR9PWKf/Z7KF9a3/i576fo6x//2d9TIR4Rf/T1V/p6y8/VR36u/lFf7/i5 ekZ9faK+nvRT31PQn8einvFLv9/yufrHz9Wj/W+ph5TvSfzJekd9PeP/tvrF /2vfw9HXT37p93E+V2/5z66P/Kve8a96x7/qHf+qd/yfqnf8XD2ivr7wS+v/ vrQ+j/2GrC9152f05xH++n7Xf9b3uz5XH/if/r2uP1vP+Nf3vP693/PS12vq 61W/tH7zc/Wa+vNU+u/ZfWk9p3zf88iw87Y5cwz/0/Wd/wUEhXfB "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNludvl1UUx+/TQlsodPDrkLZ0UGgRC1gcCCIuBPeoWLUKSKtFK7baOhEU AZEKUt64995b/wB31ETjiMb9xjjiSBzRaDT6/eZ8mvTFJ/c+57nn3DPuPc/T 1D3Q0Z+XUvpd5ItjxQGiTVwgNotGcbxYKOaIYlEgCsVJYpGYx3MednpEt6hg bca7iWI8slNFpygSq8UqUSbOEF1ikpgiJosSmICNUkb7UiXKWVvNmIMS1p4s OsQ49p+IrRpRiY16MRXZ+aJP1IkhMShmiOliGmsHRD/5qcWG92/mfYM4UOwt WsRi0S5ayeU8crVW9Io9xLDYT+wp5lIH525fsY+YRX3mkM8O8p7Pc+GYfBeM yXUxMbehn8eatjF1KSVfXcyLyVEJNZhMbsuJu5kYy4m9krU51o3Ww++6medY V0Oue8ldNc/15LcKeQ00jHnnGjSlOC85fO1jTS3rmlnXyujnTmIqpJ6tyC+j Tq7N5dTJub5UzKd+y8QR1GHUbgu5m0P+r6d+C8QJ4hhqmE+tx6FjezMZ5zOf xZ6t0M7a9eIK9l2S4mzsRfwt6B7Ce9sYEbvEUt434a99XIgvDeTUudqKvnW3 i+uI/2ixHDvt5KcFHxfjo305KMVZPSvFHS4jzg728lk7bsz+J5KLVax3fziK vWaL3cSwnPmR5HM5Ps0mD4eJ/fF9GfHPJedt1HeIuNyfDsavQnxzzzkzRa9x nzktRT8qYjwduZ870Stmbrn7ySm834C+5zliqyAXnpei04WNw/HfdVyBrXGs 60KvC98834ivk9Bbgm4HukWsXcn688Q1KXrXVdTG8i3i4hR9zP514281c/cf n4ledC3rQX61OBs990Z/GxqR9SC33lp0z2Vu3T50vH6buDbFeVqLr3XQx/6b 0LduA/JGnnvx1/GtQ28d9uuIb4gY7dc56Fm/H3sXpujdlm3muRG9S1KcGb+/ CDs+64PIm7EzAwaR+fz5nvp+uE+sR7aG3FWgN4Cez84GaueztpH6+pxemeI8 rKR+rt1qbFUQ0ybi8l1axPrxaugPkTv7voW9HNNW/H9YFGSR90fFhCxq+bj3 z0LvY/FBirv/tXg+xV17UORnsb/7nPudz+Eunt0H7hX/4vuTojSL/e8X/uCs Ib4V+Py+eC/FnSjW+8eox6uiJouzPlPj6xp3ikrNK7Lo03eLv8lfTrIpWfTy Eo1PcBbse20W/j/rnGXRt6ZlEZvl5ZqXZdHvWzXepvGGFOuGidE9z73RvfAW 8SnxvuYcS2eHxqkaX0rRE98Rr4hDxVviqRS9yvs/g+0XxCcpepx9fA5/XsQ/ z+uyyMUS7L2LTefcfXK0N45Qr53UxXLfMd81f2ecl23I/H4HcTmP24lvKXYd 153izxTndBj5AnzdzZ63izdTnNkR5F7TkkUenUP3S/dTn+0/xB3U/i9xV4q+ +Y34NkXvvllUZXGXbhKNWeT9RlGfRTxfiS9TfDe+EG+n+C78I+5J0St9fj8n pqfFZynuZZFsPJKiZ7iGHxHvrdiynZfFG9QxT+sfSNHnpmv+IXb+E/el6K0/ i59S/CP/IH5M8c37Rfya4pvn/+vfUvwvfy++S/Gv/T9hCtnm "]], Polygon[CompressedData[" 1:eJwt1GWIlkEQwPHZs7sVRWwFCwsTbM/uwDzMQ+XUU2zPvjMwPtjd3YHdCnaL iaKnYnd3/IeZDz/m3ffd99l9dmY2f7fYlv0iRKQDkuI+bqMeGuAgIoJID+IY rMRfdEYXXMFuVEAt/20VuvqcpfiOtmiHvfiK1ojDfvxGJ4xCYK01xGh0x3PM QCU0xhvMRGU0xVXfg65dG7+wAlHo6GsvQ3vfw1p9T9boSeyFffjhexuJT5iF KmiBQ0gWbO5YfMEStEErnMZ8FEVVXMQ130txXMYFFENNf5dXaOLvpL898LPW OXuwCNV9D2dQmPWnESviMFIy7kMch/O45M/W/6/2M9Sz05y9xkuU9DUP4J/n bjTWIwXzY8SeeQznUAMJOIr0/D6IGI+NSM04ltgfm5GO8UCxOR/xHqXQHEeQ Jtjc8cjI59nEshjiZ12E76b7+97xd9Z3rY9neIISaORrbyIOENtDkmA50txE +162EAeL7SkP40RiaUxAdsaPiOUwHNuRM1juyuM6cjAeQYzET7Ea1drUGjor VsNxnqO8zJ3jz56IP37GerZR/qx5vpY+M1WwM9Gz6It8jB8Sy2ASsjLOj8l8 HoZCwWpKa2kqCjI+6Z+nIHmwmtBa6I0MwXKY4GeQNlgO4/3MJFhPay9rj34T 6wGtfa3pd3jqZ91MbC9zfW+6p3t4jIao47l5IdabmqNTvkfdm9as1t5bsV7V GlwoVuOaa835crGe1V7VO+Ambvmztae24gbqitXkcRQIlhvNmd5Vu7xW9M5a LNaj2pt6x2gtfhbrZa3JXPx3h+e6mljtb/BcxPha2zz3uuZO5A42V+84vTvW +VnrHaK5y8J3Qz2HWlvZguVOa+wuTvheI/3sFoj1qp5hIjIF6wWt0czBakpr SZ+pd90HsV7SO+8/s22uuw== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHeYVdUVxedsTTO9mV5MBawxIiqKEtrggMgIg4BIkSIijIKAIALO0FRG BEGKYsSghhijsSR2jdExsYxYUERNYkwgKqImIaCmrfXt3/sef6xv33vuKWuX s855b79RjfWToqam5p5SU7OX7GbZ94TOwhvCI8IPhT8LHYSDhBuFQ4RjhT8J 7YUDhUFCT6GXsE3YKjzIPK8LrcKbwnbhd8LLwkvC/sI7wtvC48I/hL8LbcJr wt+Eh4Sdwj+FjcIu4V/C08K7wm7hWaGf0AVuJ2KPE/4j/LukfzfR5wThf8J/ hS3CW8IO4VGhP+O6Cg1CD3wbIHQTugv1fP+RcBLW394nhs8JA+nr8ecK44TT hZOJU60wROgtHC/8UugrDBOGw9E+nUq734fSt044BduHeQcx9wjGOQZj4D2Q 9RvoN5Lv9nUU1j6Npa/7nSEMhuMM1hgvTBVGM/eZcDKXW+A+UZjEs7k3Yu3T WdgRzF2L/xNYx3NNgdNpwjlYr3c248x9Guub73Ss/ZvMd4+fCV/74fpqIxfr hcuE5cIs1rYfs/fgPhfe5nsr7ecLK4UFwkLhAr6bVzNrm/s8rLnPYb5Gxk2F +0KsuTcxh8cvos31ciHWsb8Ia5+WwNVzX4o138XCefh0CXzd7zaeW4T58DKP pYyzH5fzbQFxacaPZXxvImZNfLsYLl5vBX09fhW+2Y/VWPuxBms/rsB6jiux 5n47HNcKV/FsP36Mtd/Xw9V5+CnWa16DP+b7E6z5Xs04x+lafDPf67Ceax3f Pd615n3gPb2Bue2HNcy65X1+A/7Yj59j7Yf18AChXUnNtC5aH61z1s4OxMv1 6Jr7GXN7Luuldc66Y82zXlpfflFSc61Z1k7rk3XGWmW9tL5YZ611hzCmFZ6j 8cP73/vA2uA9Zy205tUxr7XC2nJzSX201ljDrJfWmkr9OX+9mGdQqepsP3gM ZC3rsfWvN/70p19XYut378MGxtTCqzKvdWYcc43BD/OwNgwpVe0bCldryzB8 GM67OY3gvaLR9XAawnr15HsU30fzbq4jGW9+Y+HRAK+xpaqb7lfZq4vIzQDm 64k/DczlPV7RP9tG5vP46aWqlZPwzZo0Ad/cNpH1JjNXRR+nMJ/36Vz8mMq3 6fBaWKpaOY0Yz2Bt9/W+r2iD7TzWs35YO1yzrt2ZcPQ6c4jlBL5Pom02uRzP Ov4+i/Hm3QTXwYwbD2bCyf4106+ip82lqpvmen/Jeu3LOGuIa9R75dcl90JF H5ewnjWhonlL+WbfrC0t8F7Cu/el9+eGUtW+ZaxvTVhZqrq2Gn7L6We+K3iv 6OCqUtW+NaWqfX63BlnXritVvbsKjta1dfC6mm+++/i+U4sP6/g2n7lWlKoO XgMPa9/6UtW+a+G6nn4VPb0erht4b4HLWuK+kjWcy8X4YX9uIF5dyIG14b6S +uW23wh3lKq+2Hq/3lXy3uMav4X3YaWqrZ733pJnmLn8quQ5YT53M2Yi893B Wp7vTtbx3fZW8ux7pe+PPWm7m7G+Zz4sHMoc9zHPzfC+ifnuZ84HStbYjfj3 AM+3sZ7X+m1JXXYdbuP9ByX10DrflRg9SJvvtr7PWl99726Fz+343wLHh5jn 9yXPI9/PP6xL/LzI/tZhnwvW16fwt1PJO/YTwuEl79hP0m7bRnsPnh0f38t9 bvnM8tn3Bms9wfwdWf912v9C/4OxL/PcSh9rsO/bLwrHlPwtYB8Oo83n0dH4 7zi4tuto9/3W+r+ZNt/nX6D/M/Q/ouRvhKd4fqzkWen51yg2H4jM51t864if G1mzG/27M7fX8u8gn8WvkYtW3v3s8/3Vkmd8B97bk+dt5NW52kq+XqXPQXzb St5fInZunyaOX4usTcfvj8TQ54x1cDJtf6X9LPX9UmS9PwxPr/kHxjuHvpO8 UvJe4rztwHf7up34PEJ+W8np9j3isYOYbCdnh5G3N+n7CmtU7jp+bod/2/D9 MeL+KPwcQ9e/z+LnyO3zPB9V8jfdJp5db+/A3b/VXEOuH+9l17FruI1359O6 uJu5n6SPv7tGvMdcG66RneR+I2M7MdbaeiR2F88bGVupTX9zfT5Dn6fhvhvO m/DB822Bdx/6vLeHv+/T9jY+eg/6bub6dm2/wHPld7n7d4bLTnzZzJg61n8X Dlto9zwvEje3XaF6+V6kfvWW7RGZwzNkj43kNUq2c2T8zpQ9LpLLWNljIv0+ XbZLpK+P40MPOD4Pz13EyDEcrb5HR8Z+E7Fx+w5qoyMxfZbcjVDfoyLzf6Vs u0htPln28Mh6Xy27d6QGt8HBMdxLbSdF7pETZI+P3H8DZE+M3G/Wy8Fo5udl u0fuLf8h0jUyZg2yHSP39FrZDpHnwBDZTpH75hTZIyL3xKmyR0bWuzk2w9N3 R99dfM/6iNoWRGqmY7mUeC6XHR+Zu0/KLouMj2N8GXF22zjaL5UdE1kDztsK cue8tZC7S2RPi6zt70fG0TG0f434+KnItb3u5bITInP3icg1PL/ztoTcfTqy n/tMkf1K5Bn8Wdl9I/fmoZE5cPxnye4XeY6FbN9IrZsh+43IM3O67AGR53H/ yH7uc7Zse2J+juz+kfeD70bWsWu4yNZG6s9M28gzuEl2UKT+dJP9XKQufkd2 TqSGuhbqqYcPys6NPK/P9/qR5673ysGsZS5r4fPxyPg6tj7brIXWzK9GxsUx cd31ofa+EFmvrtW6SN7m/OVIHbeGe/2BcPhQpA/mv0h2WKT2utYWUm+uwfnU oWtqKHV1kezwyD21T+R4j3UtX0A9fzSyn/u4Zi+kbr8eeQ75DLI29IrUh56y /SLPEe/LiyP35irZiZE64/xMJkeLZUdG7sdvRubbuXZ+ziVHzvlU8v6xyDHu /5nIeT2n83AeufhWZD25lr4tOzvyPvjFyDPe57u1amWkXv0fO5y52g== "]], Polygon[CompressedData[" 1:eJwl02lLlGEUgOH3PWiaa1qSuWSKopjlmkvmlwpL1MC9LLfJJXcURVFUQiJE IiLEfyHumqkpISISEREhYSLp/+g+nA83XA7jzPOe50ysp7e8RxzHySUvesYf tbTvOk4GteMO+o3vUhP20HecTc/xCzrAmVSFq+krTqMKXElnOJVq8FPaw+lU h+vpEGdRP46gBbxBbfgV/cJ5NINDKN+1Mz3ChZSCT2kWh9I9fES9+DIV4D90 H4fRCT6mclxGt107Yyl+Qv9ce+0xLhL77FvUgBvpG75DL3Ez/cA51I11oPpd eoYW3Eo/cS59xJfEZqnP5I2zaBfP03scJPZe/cxknE5f8CfqxF1iz6YzSMJp tI3X6TX2EZut3oEXzqQdPEeT2FfsbvUOYvEYbeEVeojj6dy1GU3oe8XuTl+L wSO0iZcpGg/RZ7xE13Cf2Fn1DiPxgNhdLtI0DhDbHZ3hFPYXm6XuwBt8UWyX dAcHcZTY/+p36KwSxZ5VZzaKb4idRZ9hHMeJPcsqDePrYmfTM+ssw8VmrTO9 IrYTugt/XZvlVbFZ6UzfYj+x3dQdd/ADsffepHc4UOzu9Tehs06gNddmnoov iP0W9LUPOFhsl3UnSnCx2G7pzv0Hzv9l8A== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHnc12MWffvda0umDanMKBJtppCh0TRl39uQsiSUULYpQ6FSWigpZqVS b0hIi1Ip7YsS0qJCaWQXkUxKzTlzzvt5/XE/936f/bn3nnOf369mp9tbdy8U FRXtL1NUFND3ZFHRpzB+C3kUMhQyCgOaQo+GngBpBXsM9AuQy2E/Az0RciXs sdAvQq6CPQ76JUgH2MXQL0N2Q6ZAZkKuQft46EmQ62E/Bz0Z8hZkCWQp5AK0 V4P8DPs66GehX4FcBLs6ZA/sy6D3Qf8CaQL7DMgu2JdAHw3ZC/sc6CqQn2DP 8hmmQpZDFkAWQuZAXoVMh8y1ngEZiXltIW0g+332eZD5tmd5DerZXov6dWvu M83f07wHnT3vV/csWW+ZNddb5Dk815tel20rrBdDIrTGSn/P8dnPQ3tVyH9h HwNdCPWv8n7c5yG09Qutd0BojdWQ97we47DGmvPWWr8NWWf9DuRgzD0I8i7s Q6E/gN4COTC03nrIBq+7xvOW2fdlQ/2c8/6v9v/Q89i22fM3Qg7D+HKQTbA/ cj/7PvYanLfVmv1HYuwRkJ2wB0H3DvXXg64I2VaQbPEafdHWFXIW5HHIcEjz 0D2XOw6P4XsYpBmkLqQ85BO0d4a+KXTe7yBfQb4uaO9v3VYf/ZUhO2D/KYSr 5wv65thvCsIXcUa8EVPEFjHWHXY3yPaCcEf8jbFf1jg+xB3xRxwODt25Qgg7 xBnxRqwRQ8RSFecI8VDVOGO+VjO2mK/VjSHmLfFEnE0vlOb6AufpIn9Pdd+s Qmnez/b8Of4mXolR4ou4mmubeGL+zyuU4mq+zzfL/SX4nGNZ7L1XOndWez7z fEmhFFdLvd5yfy90PJcXSnHF74Ixsdjz3/LazHHmPXOhjPE01/PZxrzu51zh Ov1DGMvQ3qu8Vgmu3iuU4qoEF+v8vczfq3wf5vl6z9ng7zWO/Qb3MeeJgQGh 9rWFUjwwtwei/WHIIcYo27Z4PnO2BE8feV455zLXusm4Yd9w44O52tsY4lrk c3J8sddlO3Fxs3FS0ZghLj4rCEPEFvP+thAmK7mfWCFm2LfD392MG+5b2Zhm +50hXB1urP+Ith8gj8Ae4lpwlLl/ioU5zzxlndvtvOJ+Oz2XfcRCCV/vdd79 zjVgnr+JhRnW+2zXCPH7Es/f4zVYB1kPWRd/H+Jl5tFfrZlLTV13iX3GaoBz 7jchn9Kf7zoXmWcNoWuZf48PcS5z4cQQF3NO7RDPMuanhTiR96zlXOD69A25 gL5pHeIg8ksj6BPMufc7PtscE8aA/t/kXGGenALdIErjw3jQn3VCd+D5H3Ss uMZd0Cc7P3Y7TlN8v1o+G/1HDqIP9ztmMx0f8hR9zDpYwz4vY98Sn+THVvYn Y8L4MXb0TW37hLElrzGexH5N47+sfbre9zvBeGDukCuZI6ybx4b4gXWgju/I OBwXwi7vfaJjcZ/5eKvxUdHjK9oHtBtDn+m8pf9Ock4zx0+xb1lzGzrude3D 8tZ/tM1a2cixI46aG7P3eJ36zoVTjRvu2cT7/gH6dO97uMcyXiNCuOIba5/P usu50MAxP8PrsK4NdT4zrxmrC0PxZK6dG/Il6+mfIZ8XVHNbQL4oqI18Qa5g W3OPYQ7Wcx6eav/w/IzhpSEscl/WV75dySfN7IOWPssEx/D8UB6xraXPTB+R 31hne0D/xfsxBy8O5cu9Idy+Afvs0Hieme8Hfn9ZUF6Ec4M52Nr7MvbkTXIm a19br3NFqK6z3nPtNm5vF3oHlNR12nwPkG+vDXEu53E+MdsxVO9Z459x3xjP a+f1i81H46yvDnET3wScO948xfcE9+Q+3I9viPahdo4f73MUe2x7n5NczffK 9/ZlV/uzU+j9wXc+MXpDCHN8+7P9WWOE9eY/BeGNNusO8US8rTZ33Rjir7sh t9jnXKOT7855nb3OLT4Dx1Df6vPwrh19ry4ev9kc1c3nJ+67uH2778Ycoc86 2P+3+77s7xn6ps3aR46r6xxiLhHrrHc93Maz9PR41jLis77jzzyY63xgzpHb eLY+IVzyjvTXVvutV4hfhnj+DOcauZt46eXx9MkDbv/Ud+K6xHgf27w7+zmu kv3X1z482zZj+0ToNxL35PuHbx7WKOr+tlmr+tlmTWNtY93Y6G/a9N8d3ned 2/mGSa9JTl7hdfi+4hoDPZfv3MG+C/loiO9OLiJf7bIfBnkMOT69Ju/Y2+0V PIb+fMJzXyuIY8iJ5MNDfH6e8Rr8Xr4ulfdXQrdJ4bAzdKdUjlwN3S6FvfOh z0pxzSXQF6R44VboLimc3QF9WyovK0FXTHHZ9an9uNdx0LNDdbsH7DtTeV8f ek6oli6A/XPo7OfCLpv2B/RbofpWzJxM4bEn9BuhGnsv7PmhmtkP9tIQ9gbA Xh6qbwthvxuqM8Ngvx2qq4NgrwjVqJawL01x3FHQVVP+K0Cv9JiEvdrrHAm7 Sio286B3h+rKHNg7Qlj8jLhI1fJtkNqpd8NE6BdSGFrpc3D9Zb4Dz/+m78Dz r7Iv6IfHoUem8P8i9DEpfI2AfiWFl3d8T95xLfM+Vdup14Tsl2FflsqZSdBF KQ7nvb8N3Z2xZH1izeFdv3IujoddnOKGZ3m/FO7GQm8Icdgo2IelMPg89Ach ruF/Niel3kbTPY5jjoZ+OoXXMdCjU5xUmfdLce8D0ItCtWqk8czzb/I5eIaJ kL+navFm+4j+WQS9JfSO2Mr7pXCyAnp/6H3wFOS8VO07EPqH0DvpacjFqZp1 aMp33HcU2q9I1akGqRgzvuvp49Tb5mHor0M1YTSkQ6ru3JfKD+bGM5CbUvw8 jn5K1YUxsDum6tdY+jXF/49Bfxd6Fx4B+7kQTzwE+4tQPf8SUibFY9vpsxT/ PAj9eegN+ijsb0JvR2KunHF3MM8S4jfeY13oLvw9xXcP3w/N/V3yBhkepW8h vpP4juEY/nbiW2iY22m38DrsH+JYsgZ8CJmQ4tZHHF/2t/UY+pztI2xvhB6X qks/QSqk3pRPpfKJubQHMjn0O2YG5JfQ2/MAxjOEl96w70/V+IMYnxDH0k+9 Ur7a6T62EyvjQ3j5F+zqqTvthfwY4uZ/oK1ayh9PQn8felu/73Ecw1j1ScWL cRiYigU5hpxFnqnB+Kfeh+TXmuZYcuqxKV59jXdL1ezjoWul/kc8Bfrk1H+T J0LXSb1lXw/xMuc2hj4t9d4l35+T4nzy/UUpzl9s7P3/P7wQ95EHmHd9U7nX ELpR6p3aFPrM1P+apxNnqf9Bm9EfqbdvC+jmqf9EmzBuqTfrdOhdobcScdM/ hZ160HVT/xe2SnEW/U/Obp3KEdau9qn6dVUKn8TmDSksEUese5enat+1KUwS j6yBN6bqYNsU5ol31rquqXq3IFRvWGtYx+5O1bLB0ENS77wLUzxCDpkbqnOs cd1SGCZ+b05hnnhn/eyeqqHzQrWNde2uFBeQB4iJWcYFawx/G/P3yyeMR+r3 EPNreCrHZqYwTPxOCNWkE4xJ4pC/L14K1S2uRy4ZmuKTJ7ln6PcF+e9vKQ6c BpmSwi/rDPFD7EyD/ncK+8z3yc75SaG6zpr+amgcx5SHXpz63fVxiJfJyftC XNzY+/zTexFbU42v/wG32EKd "]], Polygon[CompressedData[" 1:eJwtlXmw11MYxn99z8tIUggJ5UYb035Lm8S0UBF3sjckSQv3RhKyZNyRaxhk KslO3K4WibqSQkplLI1d9owlMwyDVJLPM8/54zPv85zvds573vN+y8ZUVVQW pVLpTgjYlEqlOxDHEveFPbAD+kI32AXfwYnQCXbCV9ATOsJamMbzRxP38uLG 6BUwBb8dfwB6M8zC94aG6G3EXvmdT+H/IV4Hk6AMfww8yrP98evRs4m1+D7J 99YyVpWfuQvdHBqix0IVejKMRj/PM38Tn8RPTJ7T2/ACdIH94B24m+ttiPvD y7A4r607rIKlee3lUMm9V8HSIn8DDg7PVXPcS/we+kEPqIM1XJ9O3Mb1puhP 0E1yjifiJ8HFye/8WPuA75DveRNuVU6ICZ6Bm/CXEVsph+h5xCNhGCyHhdAO usLrXP+a2AxmwDn4kVDHt87Fvwf34tsSG8GHMBvfnnig9he9VWuEW2BZnoO+ 3RmW5G/o3X8Uzm0tHJdzfBHXRsH56EVcv0RrDesLGatAnw1r8SPxo9GXhq8t Zmys1hrWoxh7QLUUzuU4/O/wAVyR13wt16bCGM1V30BfAM8VnsMX8Cy+MrmG uqEfJLaA0+F4/FziETBEa4MbGWtJLGld6DnEw2EQ3Iw/BIrkPdmS90C5b5z3 /lNi0+Qa6Id/iHgUnAET8ONhSeEa0Nn6Fg5LPmOL8h4o9z9oz9DnhfdOa/qM +AR+QnKNX44eF86V3jlP34NT8T/hp6CvCZ8N5eiVcM2r1qdBA60lfDa2FM5F F/xpOSd14Wd079WwAFbjb0jew4HoweGzrvMwKDwmfRZj/TUXGIHew9g64u5c Sw2gN9dOCufm38LvXpev6Rud8GuIOwv3nLfw2/Ncq4lt8auJO/DNiZvwf+bc 1RBXab3hWp2ML0f3Cp+d3Yxdj34tuZdpz4do7eG5L2RsGHpoWFcw9hj6JeUU PV7zgdvxrYn7QD26XnUJU2GleiUclMeeDt+ja1fCbegNxICy5Fo5mbEzc81s QDcJ90L1mFPQ84n/Fc7pgHCOlVs90zO8Rq1taHKt9wjrFrl2Pk/uvaqhvuE9 UO6HJ/eWPmGtHpPQEa7trdyzXOtH/1y4xmbg1yf3KuXgr7wHNfkMdEC3U8/n /sH4OeiPknuNet49+HeTe7F60m+wkbGZyT1eZ699+FmdwfvQ7yf3LvUs9YL7 w71BPUG9qCb8b1BPGqG9DPea+iLnLrlXK4ffJPf88nwGh6sWw3utnqm9Xpn8 b9Sez8RvTv536h+yDP9iPmsDiNX4jbkW9I/V3j8erhXVgP6NjcJzmZXX+mvO rdasXvVlcq2qZzXDHxquDfWcR9Arkv+1A4ld8Z1hV+EzO1f9LTyXHxn7JZ+Z 6lxjLdELwrWnHq+9OSHc+7RHrdFtwr1OZ2o++uHwt7TnrdRbw71A/5hXoWP4 7OmMai7dw71Vc5qOfiO5l+qf9j9VMANG "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm812MWx6/qeb5I6XbTnuq67beFVBJKQxJCtpAthFB2Y5B1xmAsYxuD sQwzjDEzDMa+74SyldJeV4t2rZL5vF/n83vd+8e55/k+6/k+55zP+Xzvr+PY iaMm1CsrK7tKf+pLn5LLyoqirOzjVFZ2pGRyg7KyLyRPqf2p9JeS19S+WnKs pL5ko/o2Se7T2jO19kH1PS35XH1fS/6t9mfSX0leUvsqyTGS/0qmqO8byRtq XyM5TvKO5DrJGMlCjc2QzJR8oOffSk6UfCQ5WXKS5C3JtZLjJe9JrpecIBkt ma518yTzG0T7W8ki7/edpMZ6lmSBxznvBa29UnK0pIve6znpqer/3nNnSxZb z5H8UOec5dbst16yzOMrG8T7cP4Kj/O8yn3YssZnsPda6yWSh1Pss06ywftx ziD195T0sh+We+9tUpzN3J98xmrJKSnsXOZ9sX2uZLPtW2VfrvDzFq/Drnop 9uOcR1PY8ovkZ49jb5n713tdjd+nQYp9Oaeb2m0l7bBdd9tDcqra3XPst73a 5ZIkydab/R5FCps4c4cU5/GuDVOs5blJivNY18jj2N7U+7HHTpLtUpzV1ms4 s4X3Yu+W1uzxd89vJmnudcxr5fHGktbWO/rdyn3maZIKSXtJG483sa5vWxvb Rp47eD5ndbTG3irbh12drFvZ/x08t4vt4JzOHue5q/t416a653LJ6diRw64e kmrb2MHxxH6VvrOfHAu93beLZA985rW72abOHmtuWyttO8+7+h2Y18fzeO7r ddg+sI4t/Ww38bK7x3ke53MHeO9K27qn1/Wsc3e8y2CfjY1DrDnzNsk5XlfC AvJwH9vHmqE+G1v29Tqeb5WcbXtvlpwp6S+5XXJuiry8QzJRsjc+0D3Pkf6H 5C7J+bbrbskFtuuPkgmSvSR3Ss5LYcs9kgt9/sWSi2xXS+3ZQnIp9ys9THoE 7652heQStW+RjLev/iA5y/e2QDJfcoDkEMlwyYGSwyUHu2+U9cgUWAhmT3ct oCZQG5apvVRyaAqcpz5QJ8B2sJ8aAHaC8WB91xx4elSKOkANAXO5o96+d2oL dWCGsXihsZKaAK6Dv99L10gOsn0H+t2pA2PsT+oJNQGspyZQN2Yb+xd53+nG ajCR2kI9meM6sMBj+KOX7ZtlPKsxHpK35P88Y/KyOjWA50dSYPePdWoG68em wOKltmNlnZqwwutLNWCN7V3lecuMr+s8b6Nxfp3x7xfP22wsX2Xs3GybNnj9 Co9vNFZv8bw1xtctngd+su8GvzPPj6WoAVv9Pmvq4P1qn8m+4BlrNrkG8LzF OA6ugP3g/nZ+Bi/LfR7YW8J19PY+u5HH2GtH+4C9S5iavAfPj6fA7gr7dYnv lfPAjmaeC163TbW4D3ZxF3XrT/I5DT1eqgPNvRd2tfJ6zgN72tsmsLdUH1p7 XhOfyRh8CX4ET2I/sBFca6i7+ZP0fl4DTnbyHl38XOnYJEbJXXL4sFRbJ6p8 DjhaqgNdvb6j14GZ1ATqQXef38f7sgeYCR6Cr+DlQK8HC/t6v35+rvLcPrav r9efkQK7wUnOAJMG+OxB3hdb9vJzD5+zh++yZ6qtUdUex769vYbz9vEzZ4KX Q2zTUD9PT4Gz4PIXKbAbTJwq+TwFjn+ZAivBza9TYD114psUNQN8n5YC68Hr b1NgPXhdwk18MCMFjoP14NNIj89KgekXpdqaVKpRg/0O36WoDeD+zBQ1gzoB rlNDwPoa7wnuzbemn5pAPeDM4T6TuPgqRT2gbi21nSN93nm+t8tTYDNc9yHp K/w8KQUXBi/BVjB2lvGTugBe/i4F5wYLX/YansFw8HymsRdMZo97HRP9vRfY XuLT4PBc65Pd/nOKM8DNXXJosPA+6RtScMhq9X/i9v2S36fgX21yaGLnxhTc hxh8wM/j/A7H2t7+7iM+p0hucmyM9L1T7wb6LonPPR0j9O1rvw3x2HjvM8ix w9y9HDuD7PPz7Ych9vNg+2Oi57L+LN/Vb1J8m1GDhzqOOBM/XOX3WCn9T/uz W466iy/bmRcM8x6Xpajj+PZK+3dVim84/Md9XF3Hh9fYj6M9znxiDA5CvIGL 5D/4gZ+vta/x7fX27yn2I3EC/8d31JH10utS5F4r+xHsXi15xWvWSD6zz06z fyt8NzenWr/daP+O934D7Ktb7JMyvjVSYAF+u9W+2yL5KUWeb5Rs8JrNkk2e d67H8eNWyc8psGCi98Nf9bT/NjlwYYLH8fWPkrWpljPeZJvJvzvs8wZaVz8H dhALdzketuXbPAcukDcP+F23p37mWp54t+OIuLjHscE59/osuAe5hB8+TZE/ 5At15i8pag1cCT5ELk5yPBAjnXPUfvjMX1PwG9pZ/SnXcltsJ5475eA/cJOq HHnLM23Wwn/w/98cA71y8ApqPmd18jPjj3kO2AMXBDMqHCPNrIkZavuTKXDy VylinTZc9z8peCq19okU/KDCcfSE2+QMuQPuwduf9J1Qm1kLv0XgwZPdx75w 32dS1HK4L7z3+VTLfeHE8OFnU7Tp5/lp741+xrYx/qz3meq92IMcfTFFrpMP 5MVon8OcabbrXynwAf2UbQMbXk21Of16ipzmLt9NtTn6vv1PPZziOOXuP7av iYsPU2DzZN/5ttaTHUuTHVu0yUVyFszl+2W2Y5Mcf9xr8c8c+6iR+he6Td88 t8GSt1P4Hxx6MwXG7KD5c+2juV6zn9fMt//53lmU4nthvp9pl2on7YXuZx04 xR0Q/4zVeC6abw/wH97ay/+zQPfOEZ893GZ8XKF7zxFfp6t9pfGOOT09n+ee /h8Isd7L/cQ+OcCdw8va+Fu9rds7+86rc23MtzY/IMc6ee2jbpOD5FyVcxAb qn1ub/8fZqtjjW+0aa65qx1r4Cj4DNbCQ/jOJL/gUeAamAZ3Wu+54Cb4Od5j ax1Lc2wnPqJmwFVG2IZevjfirbNzv4vrF/agu7l9lMfIj2rbzz1sZ9/Azal5 Xf29+bhjroQTtIk9alcL86Vx0lf7fyM7yl8H5MiDx9iviD0aFzFGf2/pcxx/ u6l9vmO3u9rdiuB6/aQvUv9ibFN7P5/bVO3yIrhnB+n2RfDTSumORfDKHaQb FZE/XaW7FMENq6R3KYJjNpfeqYi77yzdqQjOCN/baD/sob5LdO4Pap8gPUGy fwo+sLM5Abqd+0scC3yudH9z/7+hpedU+pk28djWHOvXvtPhjkP2gacxt9L7 NPeew7y2o+OZuVU+t710B/OWcs9p4nWVPheO2t5zdtY7tiuCm1OfqeOl2k7t pv6PyPH+rD1Eeqx9MRLbbcMY7XFgjno4XHqM43yi9Fm+q+M0Z1iOOtywiLgh ZvpJv58Dt8eq/7IcfO156T45+NZQ6YP9jrtJ35IDq3eXfisH/veX/iRHjegr /WoODN8/h63YSRwdYvvPxt4c9bunzn02Bx48wHsVcY/nYkMReDpA7SnOo5ul T87BC56TPjEHNxytufu6n2+fLb7XD9T3To5aNVX60xz151LpgVqzXO2L1e6v 9hK1J6v9YY56doF03yKw+DW1X8pRo96Wfj1HHb2VO/O9naG51+bgL8Q0PAOO AceBC8GP+B8UZx5BzjrGweelHqP/B7fpJz7gbXAy+Bo8sMTR4HLwO/IQjsj4 KO/FPsTC0UXEA/wLPkp943sH3jypztl8K4DFFY4f6sYSjzc2Hhxk21d4f743 Nztml/h9mI/PqIvUJngi3BK+Sf7DF+Fb4AW8k3Ge4ZDwSjgg/BBuCHbAI7k/ 7hHOBl9bZJuwB8yCU7KOeKK+gtXkX5tc+z8CNN/gxFlDzzndudrduqljlbXl bl/iOyH3W+ouWxSBVbfliEtisq362hQRdxeq794cuHKe9A058OVw6aFF1Bh+ d7o/B08lR69znt7JfeTguHcTOzm+C1trfqsi7nsUtheBEYeqvU8RtYoYf89x frn07caZR6QfzsF/j+A9isCal3PkM7l8rPSoImL0pBx5RU4dz50VwYGOIZeL 8NNoyWFF+OMoyYgi4vJosKIIf5MrrzhfjpQeXkS8kjdvOnfAm/85d97IgR3g xgvSL+bgtQ/i5xzYuav0qUVg6Ec58AvsIl8/ds6S3587x79mP85Qe7H0khw8 chpYleN3swXSC3NwzW+lZ+TgrJ/lwDUwba70vBz8dY707Bw59J30zBy/E3LO Vz6rRnpRjt8et0j/nIOnrpJemeM3wGXSS3P8lrhGem0OvvhuDmwFV9dJ/5jj N8bj8EkRubFcsiIHp9wsvSnHb4m/SG/N8dvjBumNObjyNlpXrwge3AAfFvGb 5EMaz0XwrFQE1oPzh0kPKYI/gR/VxpBm0hVFcKgzctQVagp4DP6CvWAhtQSf niB9IvVefdfnqFXUKfrG5+i/IgfXhFcuNu6Q15Ny8FG46DU5sBVc/T/wr7SE "]], Polygon[CompressedData[" 1:eJwtlnf4z1Ucxb/43XutVKJUIm3tnZWRyCojWyXricxkVWSkSHsqqx2RkAft pBDJ3jMhJCNZmb1O5/vHeT7n3Hs/d73XLdW6a4MuuTOZzGSQA8bFTObslMks C5nMw2AxegmYBl/FgOXwpaAxejp4Bn4d43+DF4T/CyqCwejZoBl91dAl4IX5 3ooexvd0sJO2dnzfACPhbcGr8L5gCHwEWARfCFbmeA+vw58EQ4P/GQR/HrwF HwYOwG8HT8F/BCfhlcDT8LmgKvw98L7GMmcN9jMB3Rl9AtSBPwdaw//M8V7L MOav4D3rbMfBnOAztoU/SH/x7Bm19mHwU/AemtA3GD0cXiC714eE4D1/BP8Q jIWPUxu8G+gN7wN6wW9jjl3Be3gEfQN6C3wruB4+lLbTwGb0C3xfBI/Dl7L/ TvBrGbMp2EbPom9B74AXiv73xuS5NMdOsB00R38HusBb0V+CbzX0Xr4VwCD4 D2AbvBwYAP9WdwYvDwbCv5cP6e6z5y/Kdx0oC/qjvwRnMPfAaNstBtXQDeRH 8KPgrugx6lsE8sAr687h88AHsqXuUHcJhsBbMqZY9g438N0EvoI3Be/C35EP BPvAnYz9BN0xeM3R8DEaA28E3oaviPZ1+XwZ+BrwBbwfyMv/bdC/whfI5vAW tBXh2ws9IDoG5Pvt0Bl4TvLeW4JjtJ+K9s0HwCH40ejYuR/8DT8Y7cv3yQfg +6LvvkWwrXZF37Vs9jv8j2hbNAOr4euj77oJmAy/jPXXwbvrfuH30nYMfhxU UCyjv9bawbbaAr4JttnW6DU0t9rWRq+huXUnOnsNdNXgO9gcbQPdveY8EX1m nVUx9At8AZgaHOPKLavAjOx9fw6/kjk3wHsE26oYenmwzaagr0Cvhz8KJqEv Qa9VrIDP0Beh18C7gdbRNpOt8oKJ6AvRq+Fdg3NBcfTK4JzwqeIavUqxEGzr 16Jzk2w+Hn4e/SvgnRRD8ALJtl4IcifbXLb+WfkBXjC5b7/uLNrn5GsTgmOt a9Z3FHPDo3Oscuto2qZG5xTlkvHo0vBGIH/0HZWDz4iea698Cj4NPAZvCGol n0lnOQVKomtrj9F3oFymnKxcrJw2W7kMLMc2U2i7gP6a4GTwnbSBj9IdgpLy G8VadO6ZKB+RL0bzZbTNlK9G80nKIfBZ0VxrfAwvzJxL0O1BbeW77NyKyemK 7+izKMfdzdjG6Fwgd/RZGkWfTWe6J9kHZPs8fEsl/6Ox8olzk3OOco1sWCfZ J+QLmlNnbRhdG3TmyxUvIG+0z1VP9gHZXjF0fnJMKZbkQ7JNc/rzRduoYbLP ylfV1iA5JhWLiW9ddJPoveaAlFyzVKvmB+e6VtFcOa8t/U+g+wbboF5yDMj3 A9+Lk+fUXIqJ+vCm0X0x+izNotfWmS5NHqM+5Yib4T2ja/X24FrUG707uCaV RfdB7wluuxp9TbJvKgeoFuwGM4Nrwln0VQIH4EtBxWSby9b/BPfVjeYac1Vy DlDsb9SY6JyoXDgruBbtj+aqSXuic6Ryo9ZsLx79b8/gWrUjurapZr0M78Aa pbN3eFNyjVRt3IY+E10oufbIJ+fTPg+syHHO6hF9R7ob1VS9NXIlx7reHGPR RZLP2gEcic7xyu16I9QUT66NqpEro2uMaoty4Bz43OjY05qVk+fUXAfByOga pVw5JrjWd45+C6jmqxbWiq7dqolVwCv6J/iNUx3+JhgV/CbZCC/PP/uCa6Zq d8ds7tH+9Pbonr0bvUE0dkT02vpHc6uGqHZojf7Rbxy9bfRmO0f+DI4E5/Ci 8CrgUPCbM8JD8ttLNVp99aLPqjF3JL9R9TY9DPKj8yXncr2h+kW/Cf5/CwSf TTlXuVZn1Nr1o//VHmT7l6LftvKB/wBX7oPf "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0ulWjkEAwPHnFYosvfSKFN6yfOtDN9I5XYIL4FoskcqSQotdQvYl7Vkj pA1lTVJZkvzm5MPv/Geec+bMnJknuX1n8Y5YFEXHKCCMF7GE5cRJsI5ckmyh kL1kWBBn0HiDluhGXcVqhsw36b6wVjNJMGy+Rvdrlj7VPL0d9tKzulbPabbe 0xw9r+v1gr4NZzK+qA95xGO62Ox7s+br/XBmbdUXNNBLPwN08oC7dNPBaw7w hj6e8JxnvKSUFu7wijP0cJp2brHSnqfCPepJXaE3dZnW61Kt03S9Ee5cazVV azRNr+tiPaEL9Xh4H72mKbH5d4tptS7Qq9H8I1bJX44yRxOzVDLDEf5whd8c 5ieH+MVlfnCQKSqY5hJtlNNIGdvst5U9xt+ZZJwJvrGbL4zxkc98Yhfv+cA7 RhnhK0X//8d/0aNd4A== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{297, 296, 300, 591, 582, 583, 581, 585, 584, 513, 587, 588, 586, 590, 589, 514, 593, 594, 592, 596, 595, 515, 562, 639, 548, 580, 533, 578, 532, 579, 512, 299, 298, 297}], Line[CompressedData[" 1:eJwl0ukv1wEAwOGvJqWIaqsclWNCt8lVhPe9stFBkatLlCtXDblC5SzHD6Vy v+7PM8/mxbN9/oBPcm1LWXNYEAQh9kUR544EwVlaKKWZtyxwhp+U0MQbfnCa eYp5zSvmiGWW+7zkBTPEME0RjTQwxSm+U0g9dXwjmq/co5bnTBLFBHepoZpx TvKFAp7xlDFOMEo+VVQyQiTD5PGExwxxnM/k8oiHDHKMAXKooJx+IrjFFZZJ I5twFjnPbTIIkc4djrLEBbK4ygqZvCeOd8TTyjXaSaCNRDq4zgcu0sklurhB D5fpJolebvKRZPpI4ROp/PfCCqus8YvfrPOHv/xjg0222GaHXfYIMUkfTVTx IOzwtQPl+j07 "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FVsFFEYgNGhRYIE1wcI7u7u7u7u7u6uxd0KhbZIcEIgwd1dE15x1/CA ngkPZ797/002OzN3N0fPYS2HJgiCIKmXqMggiI4Igr0JgyA7OUhDWg54bzUX rVNxiWf2f7lu/Uc3UsO6JlWpTjU2mFfWKlSgEhVZb15Oy1OaspRhnXlJLUUx SlCcteYFtRD5KEB+1pjn1jzk5Lh9Lj2hefW5FtGTWlhPaVF9oeP0tI7VMzpe X+pEPasT9JxO0lc6TS/oVL2o0/W1ztLLOlOv6Gx9p3P1qs7RazpP32uU3tRF eksX6yddqrd1id7RZfolvPf6QFfpQ12jXzWxPtKU+lhT6w/9zVGO2G9hK1k5 yjHzYxpLHNmI56n5ad2jSfSbXtXv+osnnLLfrYnCM8EKVrKc++afOWm9Sw9z l/P29zShRvLB+op+1CyamYUsYKfZofBMMd/+hkZoAt5YX9a3mkkzhufQeobu 0AyannRMYXJ4XeYH+Rl+D06E16yB7qcFLWlKc5qxj+Th8yIFyahLbepQi/rU Y5PPaqiNaEATGrPZvLW2oRXtaEu0eQftSHs60yl8RuZdtRtd6EH38LmZ99Le 9KQvfYgx768D6McgBrLNfIgOZTDDGcZ285E6ihGMYXR4BsL74ze/g3jiiGU7 24hhK1si/v8//ANLJYwb "]], Line[{939, 743, 747, 751, 755, 757, 824, 995, 1033, 994, 1018, 1218, 943, 954, 992, 1220, 993, 990, 1017, 1216, 941, 953, 1211, 1194, 1195, 1055, 1196, 991, 1217, 942, 1032, 1209, 1210, 1193, 989, 1191, 988, 1192, 1016, 1187, 986, 1185, 985, 1186, 1014, 1206, 1037, 1182, 950, 1181, 1052, 1180, 1179, 1204, 949, 1203, 1051, 1178, 1177, 1202, 948, 1201, 1050, 1176, 1175, 939}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1229, 1228, 1401, 1584, 1717, 1630, 1716, 1631, 1718, 1657, 1890, 1658, 1678, 1677, 1586, 1722, 1723, 1721, 1725, 1724, 1587, 1727, 1728, 1726, 1730, 1729, 1588, 1732, 1733, 1731, 1735, 1734, 1589, 1737, 1738, 1736, 1740, 1739, 1590, 1742, 1743, 1741, 1745, 1744, 1591, 1679, 1897, 1680, 1659, 1892, 1692, 1891, 1585, 1611, 1694, 1693, 1720, 1719, 1850, 1519, 1403, 1233, 1232, 1231, 1230, 1229}], Line[CompressedData[" 1:eJwl00dTFEEYgOFGF9YcMAdEzOjZKhOCGDCgwAIKeFkx4ElP3sxXvRir1AOY c/wpZoyYxQhiVtSny8NTb39dW7szPTt59RtTGzJCCM20JkJoIZ0ZQlFWCF2T ISQIdCGDQvt/+MsvOvnNbH7wk6985xsFfOYL7XTwiVl8pI13fOA9M3nDW17R ymtm8IKXPOU5z5jOfR5wl3s0M43b3OE6N7nBLQ5xhPXu53D8TX2kj3nIE1ri Ndrfo3OosU7rLkopJtNeFo3WTRxlLkl7q/QYx9nCWnubdS/7WE03e/W6lHl0 N/fghPVJtrHOvFX3cyB+D2l7a3QZ86k1b4+fpad1b3pRwEF7C6izbtDd7KTB vEP7aYn21T70J5tT8ZlqmRbqAAZy2lyk5fFcdBCDORPPRCviGegQhnI23pum 4rXqMIZzLl6XVmqJjmAk580LtUoXaQ6juGBerNW6RHMZzcX4PHR5PEfNYwyX 4vnoCi3TsYzjsrlca7RCxzOBK+aU1mqlTmQSV81VWqfVms9krpmn6Mr4P2KT d6aYqeSTQzZJOr1THYn/79c/aWxp9A== "]], Line[{1400, 1352, 1356, 1360, 1361, 1362, 1363, 1518, 1656, 1849, 1655, 1847, 1654, 1848, 1674, 1846, 1653, 1844, 1652, 1845, 1673, 1843, 1650, 1841, 1649, 1842, 1672, 1840, 1645, 1838, 1644, 1839, 1670, 1687, 1643, 1669, 1642, 1886, 1885, 1609, 1884, 1668, 1879, 1715, 1837, 1836, 1878, 1628, 1608, 1883, 1667, 1641, 1647, 1889, 1646, 1629, 1610, 1887, 1671, 1648, 1688, 1651, 1400}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.875 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(0.875 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVVeXwNHYsNdo7NgLlijBEuSiUWNBBLuxF1SMBUuwkdh7F0VFY7Bh VxRsqDxERUVURBQUpPdeRAXbOGu9376zrpPl+CXfzDcz/vXWb+27z9373VP2 2XefazR2ej/bwgYGBg2KGxj8+++iBe9a1l4ephtzbaluhJm70tV72iP3gQ+F yxX2frnC0k94SO35FU+fOySM/k8/Pgvz6ewr+jD6MPow+kVOvArpZxsg+jD6 MPow+oMNS06e2fWh6MPow+jD6Btfrjrp+0Ghog+jD6MPo19oesMJRSY9E30Y fRh9GP3UTd+cSTCLFn0YfRh9GP2Bk+t+e+dGrOjD6MPow+jrfmjsfsoqQfRh 9GH0YfSb1mrZamtIkujD6MPow+g7vTA5OXd0qujD6MPow37xhZ4Nj/FU3t7/ vsWI5HQlZrfpkolTQ3QRDnvLtBq3Q7HU9bF5vuCeMPeDD64ebta242VhkxOr D5Uou0XpMe5CesqBNKWue/lbu1x9hZGfMdNNud8iU+xFH3th7IWxV9se9jtu nPzr0FHrddWM0pY0HeimVLKJKxZpe0TJOP7i7unCacJDVry1dF6bIe3BtMf1 X+3fbOpf4Yqy75v5ZRr8mC7M/b5d5xLaZd4TnfHJowON7e0VpxNBzdeNeSSc d6/kwkc9HwifjFp+oNN4f2EZP3qeUf9Fr0ATX+FJAQExN0p6CvN/l2z6x6XM UV7y/8D4b+qw+Uojq7PCkWHHL16YoRP9VgUpT1b3vyn6MNdfrxv300H/68Iu D7OHTAu/Lfpprb5KXX8pUPRhrp+24v2gdhn3hPftXtHMwCBI9H1jyicPuvtI 9GGuL+2w/kjcqmDhOX23NrldIUT0nbfVTqwT+VT0Ya6PbrLr0AmXJ8KWhfc1 2lI/XPSn9DCOT8qKFH2Y68+FHT7ocDxCeNPTwVtOuESJvuvb3dlDFseIPsz1 3X8Me1AnMlq4wGNkhS31Y9XnF7LfvlPJePX56Znr3evGWBeZFCc8fr3tJofj 8aI/2/1oppFToujDXF+9IOl+UlaC8L0JU8oN+y5JHa+rT08rVjNFHV965vpl DzOt7s5LFm5vMWuD4p2izg/662HmE5kv9HIYOfeHGU+MN+8NobP7XfAT5v6s lzDrH8x6BrM+waw3MOsHzHoAM7/DzNcw8y+MP8x3zBdyf/34Zb7zW6lLW2gZ b858B/M8YK53O9tqmIFBmsyPMNfDzGew49UV1+ZahJiXWxZ6JmPyGuGnA1NH z7q1Vzg4bPO9xVvPC1s4HD88ovkV4a39x8cGpd8Q9nedEWhx8ZbwnnDd9DMl AoU7Lu0+wW7aA+HZG+9OXVD9kXB50wHj2yx6LNyjS9jPXY2fCscljRn7enOY cO28JLsy5pHCz+62ax1jEyWc3/9129TGMcI/HjI/5fdU5XEtCnvcd48TPr2o W8tj4+KF7xYzbOPZIVG4xk+WJzamqdwuqtzpHb7Jwsvb9jee/UuK8N6LX7f+ tbf6f2eW/unYkHcql3KqdWpMcIbw0ITRzTqtzFQqzeznP7/3YVkPTbYuKDKv Vrw36x3XS//Xs/R/PUv/17P0fz1L/9ez9H89S//Xs/R/PUv/17P0fz3T/1k/ 7a+Uqpz2PlXkrJcrpjcfvfJ7b1k/GS+6C0caj5mYrtqflnYgMvqo4l/g8dVv J45Ie8MPVS5pUfvIR+0PbuQyPXNjutLR49D2fiMuKunnr5xu0iVDGW56xP7R rxt0XN+vTMzaVTfclVmrms3rE66u/xZnyjZ8viVDmWwQ66jrfVbiAemf+ngD Zn7KWDGsRp9MH8VjS4e73dzU+GDz3uIZx96lK2aLxl4fce2mxCsuZVd5nmpw Q7labc+dAyXS5f8Kb7vM6+KZTJlPGf9WpS+n2MU+0bW+ubaHbqCreeXS8/xq lFPZocXpb2xfBgu7t3jeyePOI2HmX9qr2Nd48xuPByIPtUqecjIyUHhmVJdF mRtvC6dE3bq1tv0dYeIVmPmc9o/X7zC9tuE1kZvW92i0ZPRV4Yw73V2ajj0j HBPQr/lYj7PC9H+JZ/T/947ym4/fKe6h9kfXQfGG4T4yXiR+0cvz0scFzTl0 Tdiu2MzoXe/95XqJV/TyP/ovvGd4565wyXN+Gc6bg+R6iU/08gPD+8T3eamO r4hJwWmj9ofI9RKP6OXzyw2L/drwibBnjZiUJmfD5XqJP/RyK99J0ZHVI4S7 Jc55Pjc2Sq6XeEMv39zx0vQBzur4PeXz26wRU2Lleokv9PLXlXwz2tdR58Nv XJbndM6Ll+slntDLbdNvTa11WB3/S2etm9HotyR1viJ+0Mvv+91PK/StOl+m WzpllSyeKv2b9WnSYpMLpkueyPgscDbIt7JXefiF9pY7hjwS9t83pdSiySrT v2nP+PqBkbf7PRC59xP7P6ItVLZ4YRM/sJ+/cM07F8c1dFCZ/g3Tv2k/qkyz khe6+4q8cAfftUn1VF73cvz4Fwkewl33mozZ1tJTmPmO9prca3qhIP2yzGcR c/I9d353Rdh4XmmTjv5+wvvsh1Z9YHVbqdkr9Xg3uzTF+sCBs5PdVDnPg/WE /3//vGcp/h/mQ6V9QKO5LV2VH4osqu85O1PiE/SrW5wY+s2v1yR+ce15N6pW v20yPs+v7dhhTvVFH80H3R4mt06xuaAjXoGJV2DiFRj9W3UCYqo13yT6MPow +vDwqa5GhoH+sp6k5I5KmbH9kXCj05k/RPo9U/dr53VWjV7HCN/ftvJ1eMVE 4amz+x52apYqXKp/1YG9umQKP9qRucjgRLZwg1X9Q8Iu5ArPmnO+xfnrecK+ E2os2xL4UrjCoIVPp4bnC4/uFtu6Z9Jr4VMmP65s8Pyt8Pv6x569f/9emPXK c4DR47odshT8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/+2u Hqji9Gu2+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7Xbtlk YFHfHPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8f+hybOuc Ys/Ffxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8X9V8VbByb3y xH8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/HffPaZSsM3vhD/ YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R+2rLKj06WFDz7Kr7Le rwpqvL3JqScij7k57FWvzCjhRW71DxYqHi9ce3mqzYXaycKXx3m8m2aaLtxi 75VHFQ9lCTtuMjLOOJMjHLBw+ZLb3s+Fq09PDj3g/0J48sg+rRY9fiV8oc/p 5cNiCoRLdKoSbprxRniw8bw2FQveCeM/zPOX/bJ+/1S2VGze0LAs4etzJnwX UCdHeG5c8mzz8bnCLW2meroffi4ceyUrt156nrC2f2n/b228gZz+BtPfYPob TH+D6W8w/Q2mv8H0N5j+BtPfYPobTH/T5tNZb2HWH5j5GGZ+ghmv5POIJ8m/ l8ldtK5EYKbsl9lvE2+3C9tt5z78uMR7sMSrdcPbGFl4CG/4ZfHU2h326dhf cD1MvMh+ATmMnPvDBb0n3dMl3pN85K4ib5yc1z4U7hB7zaLPh30fHHJ1bfpX l8KEf3Ht7+IVFCm8Rrd+f/u8aOHQk9n5lQrFCTfZM9A6s3SCsMP6i27+1ZKE /RxrvT3YIEW48pTF/Re3ThMePyz+yHCzDOGhBxsY1GyQJVzo90HHDJtlCx/e umrQy1Y5wtbrvArFf5cr/Gpp2vGg758Luy6oPcSnc55w91nWX5388YVwxuQl J3f1eSnsPNZz6Or+r4TNf0ooMmdovnCcTTX38aMKhNf17DWsn+1rYZPOjsUs fn4jHN7+5OkWM94KL20dNbzGnHfCzZtULGH46/uP8sc8T/ZH2v3KfzUfy3yw 5OHdq04t02T8s59j/MOMf5jxDzP+YcY/zPiHGf8w4x9m/MOMf5jxDzP+YeZb bT7Z4WibKSWc1HxYkFeYkV++uw4OsFiyMfiGm06bz0RuZlqx6v6TWcIxkR7B 5UtkC2ft2zaoSq7KzpbtKi+1zBF2K/eN88p2ucKWF736521S+SfH3Y/yFzwX Nmhk7jTxkcrlk+tUmeKTJ3xuy9WgJ9+8EGa+h+kv2vzdhk6LZi7u+HH+cpXP 8ijLiemy/9bOn+T3JB+ln08lv62fT2HmU5j5VJs/1O7ntft1bT4U+2Q+1bdf dkX4D44rzgrvGVBoe+CQXbr/7/lI4i3Gw7oxJuVCH92TfMsk093rD+WrHJS/ bdaarQ+Fx5cb67lvicrEZ7RXOKPpmKEuISK3Dx1Rt/Nxlcueb3j35bUwYdeA 7DLlz6hMfEd75scuevndjhT58W3p806GqdzQ6yenM/nRwpnXfTy8s1QmPqS9 Tp4NSrq8iRX5rCPeyeuLxglf21HPwq5CgvD6/atG/1JCZeJL2gvbknbOunKS yCusWuHctZbKY+akpNVpmiLcfIl1GeO6KhOf0t68GZ7jihunifzUBKsfXpuo /H7gmZ2PLTKEb4+u5hXTTmXiW9or3cS8RKRRlsjd6pV6NaSRylbVO+3vbpwt 7FnH3iOgscrEx7Q3rOq+kV4tckSeV2G6lUkblX833Jtv1D5X+KtywYaH26pM fE17x4oVO7utw3ORdyv08EA5c5XTXxWxfvtDnnD/d+1GL1VUJj6nvfw8u1Iz ur0QuVOW6euUnip/nzTJLbTvS+G96bvOjeytMvE97fWMvzvG0uaVyGMjXWz8 Bqq8NiTgjcewfOHs8PelOw5Wmf0B7W0P/vZC4xEFIv/2/rtDe8eo/MSvdf+N E18LKwHjxlUZpzL7C9pLvLat7Fd2b0S+2HvsO8epKjc9t/XI5FlvhTdeunkx a5rK7E9oz9Qjf3zE7HciDzzhN2DIPJXnHnz1vtvC92p+92jz8gHzVWY+Zv/C /LuiaY5niK3KzmkPTcOts+V69jeyvjr/8rznUXU9sRw62MFqW45cz/5H1tvC +W0vZ6j6Bn5Pz/o8yZXr2R/J+jvdcVbLtiqfazMyr03tPLme/RPy4eHvz7jO UXnyH9EmB8e+kHiM+VWbz9a+n9O+X6O9qIXWL+1Kq/lJ4jniJZh4CSZegomX YOIlmHgJJl6CiZdg7CF+wB4Ye2DsgbEHxh4Ye2DsgbEHJn7j/THxK0z8ChO/ wsSvMPErTPwKcz/eT3M/mPvB3A/mfjD3g7kfzP14/839YO4Hcz+Y+8HcD+Z+ MPfj/Tr3g7kfzP1g7gdzP5j2eV9P+zDtw7QP0z5M+zDt8/6f9mHah2kfpn2Y 9mHap56A9mHah2kfpn2Y9qhHoD2Y9mDag9GnfgF9GH0YfRh96h3Qh9GHuZ56 CK6HiVfZP7D/hNl/wuw/YfTZX6APow+jD6PP/gN9GDn7EeIt9gvsZ6hPYf+j rf/k/T3xM3LiX5j4VepL9fEnTPwIMx619+P9P8z7fZj397SHHEbO9by/h3k/ D/P+HXu1ct634x/X079hrud9u/y/+vfp/F/I5f/U1N+xP2V/Jfle/fOE2R/B 9A+tPvEI18Pcj/iD/gPTX1gPYe16pH1+2vUJOeMLZnzC/J8w85G2fdYLmPkc Zv6lP8DImT9h5juY+Qpm/uH5w8iZX2DmD1hbz83zYXxrmefD82M887zk/Zk+ f0g9LvlI6lOpTzZLuLbc4cM+h3rm7H4/3kiyz5F8pba+lfwu9c7Ou5cfPHUv W+qjexsaxhtVypX+CKOvzdfhH/lN8r0w+V7yydRXkk+GyT/D5HNh8rkw+VyY fC5MPhfm/4P5f2DyuTD5XJjnAbMfZb6FGT/0T+ZX5kOpl9LvPyW/o2f02U8i h5GzP0QOI2e/hxxGzv4NOYyc/RhyGDn7K+Sw1n/me/yHmY+Zv5kPYP5/6sOZ X5mvmV9gnjf12DD12PRv+i/jBWY8wIwvmPEAU/8PU/8Py3qrn/9hbX01+Vfm d8nH6seX1DfqmfcxjC9tfQ33Y/xQDw5L/bd+fUJO+9r4hvmF5ynxtX48cH6A 58l8y3iiPp/nx3zKeKX+HXu06yfzLeOfenf+P+Il/v/oVoUndFqTJfYQL9C/ YPoX5xWY/4kPWK9g5gvOF7DeYS/zEfX7Wzs3NLk1IFXWV9ZT7fsJmPZg+jeM PTD+wIwvmP0tzP4WZn8Ls7+F2d/C7G9h9rcw+1uY/a3Wvvknmy+MbHxPeVG1 x67gPikf7a82jvDoPXHqM2XP29lBrTvHfLRfWGVf2X/dVnU/4HI2cOCgdcnK X62/53nAS9qcfNN37k1Zn9GvmBW+J2hcluJdLGdrcefHsl4fDP86ucLCFKXH rrY1CtkHKXPNHlguXxejtL7oHNh9cawS4Wx83SDQT5d05OvRtrOylU1fl7sw 4Wyw7tXX5XpsWqvmd/7R+n/dhorbvSqlKdp69H/WeYCZrhPcV4elSHwe7et5 f3ZKshJ8y25tfmDwJ88LLC/eacfcEUmK729LavpkqvW2/+j5gfCDiV3WFEuQ 8fqoWkLejiZxil10N/edL9V62z87X8D46pU+b7dxjVhl3dW3S9bvjpX4/1b3 0w3ynkYphU9Ydj74Nk4xLDEq3tA2Svn5xYqQZ6P++vmEFUoVk2+bhCnaet4/ O6+w4XrhGIvUh4q2nvfPzi9YbszZ0DPsqm7JxlcmqxpmK9cHWB3oUixQ92pU nN1tgxyllWMN48gZXhKfMp6GrLCwGDEuR3lcpervBuUeyP4h/EbIhdhZT3Rr zxcOfPEf4kW38Q1uV7fKlf0F+cO/+3zE3G/bxxyKS5J4n/XJJtGqfvTukE+e n7A8cO/twIg42Q+wXiSVzqn0qsLH5ytYH+oNWmlrmab2nz87b2HiuLNd4If1 AGb9a+b8tt70Wp8+j1HE3cypj0HgR+v1leBTMyclqM+b9VrOcy3o26p8srqf mJBYuGrLpzmKoU99P5urKYpZ3Z4DMjs9UN52yxhU+0NctDqqwOT8yChl0WEb n1KOT5XE/qYrtwYlKntuHhpjqgtS2q5vtTzvtxRlVo0XbexnZMjzHLgruG7P 4ipPT05LmlkrTRn5R2whg4qHlLylxx1O1kxTum+YM+jCpoPKCasU0+SeH9an iKMtcs8EKEsL+tXrVjlROXfNbKmv3TMlO7XvxGf74pSlPrV6ps2PVhyKlr0e 0yxCmT6q6pDDUxOULQeLvMs//lixrbX3zPIWyZ993uTrnvMmHfz5rpLYbfOA kJupyp5XY+svLrpft3xihO1o6yzluK1PDbOdT3TH69n8UKVarlLfeEv4Vts0 8a/xHlPHrGJpipnDxaMD+v760XmVT50/saqye2gJNzV/0bx0s1K1lyYr9+od aevR87HEMwGrbbq4J2cpXo+aZFmdTJX4utD9OrqYkalKxqAW6ZetzusMa1eZ fHt3qnKu0ba5Hca760oViyrVNixVOVCx9LLNIb/r+lyuZGp37cP/PbJejVYz 3SQfxHqsPb9UtF/W9qrnj4u/Rtahv7hVdvto/HLeh3iW9tbsK5XRwu6Sev3+ qgsneHkLF2yosdN13U3hJRu2WReJu6H8o+dJGA/c37t3w6MzKt2T9kwtj+WU uXxf+MKyWm5X8h4K/7bs6eLpRiozPmmv5rh9LRt1CBH5oHHx/WaXCRV+3vnE +2YNw4W9Ok8OC7cOE2a+kPqUum1WOU2KFHnPTR0f29eOEt65cI+xZbMY4QXv Has39IkWZn6ivdsZUfYGAbEiT5xWeGlj0zjhdiMnPCncJUH4m4iuN8NC4oWZ L2lv4t3Dtc7HJop8eR//VhF9koQfmbVccXFoivD5y6Vnb8lMFmb/S3v9uu3+ fothlshHFz1x/aC5yiXeRkx36pqt9g+zewkLy6m86sXpVKeKabJfnmVdNSfz w3zS0d15Z5t0T8Wx9pQiKTXSlLiea44ae55Vpv5SvJr5u1TFbs+578Z856O0 fXh2+8SiaUrQ04gVzXd7y34b+1xNDLZMrZIj93N/Xr7G4l4qD0nr4jfNOle4 h3GbTsNqqMx+nPay6o9P6mH0XOQGcbNnDB+k8uEwt5q9hucJ76jh7GTaWGX2 77RnXumWeYMWL0Ru9TD0ZruxKr/wLzmr4aSXwgklC5IrtFWZ/T7tbShsvO19 +1ci3+NrVrvSNJW7e027bTA7Xx0/BSMs0s1VJj9Ae+HZG1Ofdi0Qedpp19kZ 81TeeiSoTvjC18LLkq863+qlMvkE2jOOzu18zvqNyM32Frlze7nKcTtMHc6v fSscHNowff8glck/0J5j4OAdm4e/E/maTZOMDm5Wuc0ql4At298LN7i1+oeF Y1X+3PNqoW42rb2OqvkNI0PPDgdCUxVnz5ue+VnXlHSfBwVbdKmKr2eTyMkx NxSP6SsPGwxNVb5//Hxw35w7yv5Lhxs67PywP1r07bZOE27908+/zZv6Vf8n xVIUq32Vmr0eF/zZ5+FmTqn5nYdhkuRrMm8M7TvZO0lZlnE6efndUCX9WvL0 KlUTlSj7yLL+Y58pRq2O2lS9kqgM/6Phodenw/7lztMt043Mu3wnSvJJ4Q4H T3XJi1R6zhxRucn5L+ft/tXP233u+bqR68/fi7C31SWUWfqHb9Espd5vgbtX mfvqTFpnRJ9tnq2YWOW4rp1ySbfpzeLYvrFZSu7AAZ0i01Ml30b+jfliWEK1 S4Xqpsn7EcOhTX62TlXffy+Yn36rtLX6fvrtKKethlXU97HPS6+zODYvQvJj 5C9XNQ6clnU9/qPzfwV3cvs7XwlU6pTe5Du0Qark9wKKzp2zfV2qElztWtE+ b9T8nsOxiwuSClwkXybfC+n1+8NWddT3kb0vx1vZ/pyteD967HO/l6/k/874 bHjcNTVFKWaZfLfe1ECl/v05jn7jEpTRG+YUK1EtUrl9YN+tKeeilR3l4iPq dI5Thvz84+zAweGK1cCSTecYJSrzbU9kHr8YrFgmRS4cGpKs9JuxvvvJyXd0 7navR4z0ylbW1O/jbT/tjK5wuaDxbV2ylO4la43YWTFEV/PWjsOVA3MUq6eH jBeNiFU6uBw50MU7RvGyCQ26NSxI12/36rxfu//7eSnX+Y3zkpTSi6/5edcL VTY2N2qxIT1O6b+nvm39FtFKUkbINpcdoUpFs+YbbRar73/Jz5H/gckvweSf YPIFMPkrmHyXNv+nzdfC3A/mfjD3g7kfzP1g8n/0R/J/MPk/mPwfTP4PJv8H k/+Dyf/B5P9g7GE8YA+MPTD2wNgDYw+MPTD2wNgDYw/jEXtg7IGxB8YeGHtg 7IGxB8Yebf0K+Q7sg7EPxj4Y+2Dsg7EPxj4Y+2Dsg7GPfAv2wdgHYx+MfTD2 wdgHYx+MfTD2wdjHfIp9MPbB2AdjH4x9MPbB2AdjH4x92vob8k3YC2MvjL0w 9sLYC2MvjL0w9sLYC2Ovtr6H/Bf2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M /ayn2A9jP4z9MPbD2A9jP4z9MPbD2A9jP4z92vom8of4A+MPjD8w/sD4A+MP jD8w/sD4A+MPjD8w/mjrr8hn4h+MfzD+wfgH4x+MfzD+wfgH4x+MfzD+wfgH 45/2+33a90Xa+i3eF3E9zPUw8TbnS9CH0YfRh9HnPAr6MPow+jD6nLdBH0Yf Rh8m30j+kvcB5BvJF8HItfURyMm3wORLYPIdMPkKmHwDTL4A5nlq7WE/D7Mf pz9q69PYD8Psb+nPMPk89rPkC7X1aOw3GS+w1Ofp95dSf6X5nhvva9hfUl/O 89WetyVehbXxpPb/0caXyBl/MOMPZvzBjD+Y8Qcz/rT3J56Diaf4/7Xvh+R7 pPr/n/WO/5v5l/+X+Yt8s/b7nLwvo96B+gDqG6gHoH6B/RjnP6knYj/J9zBh 6iuoV6Cegv0h9RPUH2i/B8j+jfa099PWe+If/yfXw+SX6P8w9SDa7z/S/2Dm Q54H8wPtweQDtCzng/XPQ84H6xk5/iCHkfO85fyxnpHTP5DD2vommPO7/F+c 39X+33zvE+Z7n5zv5XrO98Kc74U53wtzvhfmfC/M+V6Y870w53thzvfCnO+F Od8Lc74X5nyv1n++VwrzvVL6D98Tpb/zPVCpP6aeVs9Sr009sl4OI5f6ZL0c 1vZ35DByWa/0chi5rFfk+/SMXNYvvRxGLuuZXg4jl/VNL4eRy3qnl8PIZf3T y2Hksh7q5TBy6t2YT5j/5HyTfr6hnhSmHpXxz3qDvpx30l+vrTd10/kXGXY2 V/Q574S+nH/SX2/gsK7B1sEqDzO26no3/7noc/4JfTkPxfdkY8qNL7Zb5fI7 HyxVzNXzUMQ39F/WP5j1CGY9oj+z/jB/s95Qv8b/y/3k/LGe5fyxnuX8sZ4l ftP3f+IJ4muYeljqJYnneJ7UP2qfJ/V1xBc8P+JDmPpKnif+0R72sV+jvo76 ZtrHX+oztfXN2I+c+zF+yV/wPJhftN8X+FKv999brweTz/6/9j2G/6n6wT/7 3oO2PvBT9Xva+rxP1df91fo5bf2btr7tU/Vrf/X7FZ9b7/ap711o6+H+7u9f MH/J91I09T3a+rtP1ct9qh5OW//2qfq2JY6Hym78T+rXVoSvbT4gIUXRfq9B W7+mrUf8s/PX2vMz1Lt97vc6/mp93Kfqp/7V6uc+9f0L7Xn2z62P+7u/n/G5 9XOf+/2Uv7ve7u+uj/tS7/al3u1LvduXerd/Vr3b312/pq0v+6v1Yp+qz/ry faUv31f68n2l/73fV/qo/u5/+feT/qfrBT9Vz6etb/zvru/Tnr/Rfk/rc+v/ 5HuQx4Z5LcubpfvcekBtPaX2e4H/BoJk1/s= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNludvlmUUh8/bQUsHbW2RQhFKW1ss1sp2I86qBQEZVUEBQUELSN04AP2g xr331j/ArTGOOOKII3FEo9FoNBqNRuPe+vvlXG/SD1ee+7nvc85zn/m+k1Zv WrSxJCK+EKXiADFT7CZ2FA1iB3GomC2migpRgvxhok+UiRGiwNlBYpboFUPi NNEtqkQ5stU8bW+hWCBq+F6tGCXG8N4I3qvjORJ780S/qBRLxGJRj1wV3zla DIgmcaro5D4rxHLRzN4k0SYmiLFiHO87sdfOc6JoIUa+41qxRrSKLnTa8X8W sRribIpYL9aJDr4xGlsbxKCYTB56iefeYg8xTexOfgrYnor9AvEsR6eC92Ks q/BpAv70s1/BWTGuC1hXY6uKWNeSiwbkGnlfzLqO9zH4MsC6Ef1R2BiNz2OJ fQtyDegVY9GCXB93LOV94jAf2sjZGuLts5XD8lPMWVHOOd45sgZ2Yd1GXjrJ SRc6q7A1ntx1IzOHXEwnzr3c7WAxl/wMkucuzpyjMvI2E70C717vSW57Intl CH3rzUZ3H+Qss19kTUzjfC9kfLf9kXH8XffN6Fl/hrgQuencdS73cP/0E+vD I3u7DPrwo4J1JTGYw7dch4dw37PQL8PGEcj38V5Jvge4277crYfYHEhMPQtc i67Dc8Qi9s4W87Hj3j9ymKzniHvfNee6bGLvKPab+K7PPSuWsTcfW7a5RSxF vpqY1GBvCfJLWddzPg+ZeuTcCydH9rl7/BhyYd2tnHXg/3Li4Rpey34L+669 4yLnlGXP470Ze8ey9vnxyJuV2Cj2Q6tYHVnTPj+f9/F8ZwVrn5+AfDt36sDG KvZb2bftE7mz9y7gvZW9k9A167DXxdrz7fTIPtmV5wbWjtkpyEzmrKi3nj1/ exw+bkTX++7rzZG97b1N2OzkzP1+LvlwLrahb133kmu6h+8NobcZ3W7y6jpz nr8Vt+Gz9c6I7KmnxKV893bxHbG4U/yAb7+Ln7FdqkHwH/H4R/wROQNujPxd do5vFl9F5vhW8Q15ulv8hJ+u8S3c7SVxf2S/Pyvuwb8/xcX48ov4l1jVFFJn Bt//izvYRlUh933HQiHvOVLPCnGm1uV6jiik/x5ql0TOrkF8moIPrl3X6jJy 4Pi7d93b7p1HxPOR86tadh6OnFu29zd27sUf+/KEeDxyDjreJYWMue97H748 gG9evyBeJEcPilrtbycevxETx3E7ubtcPBY5W43nmmea55lnkGfF9eIzfHJu 3FfuI9/9Se7vPLk3Wsn9tsh6u1J8gL2rxUfE41rxCfl03XheuIdG6b6PRs5v z8KFxK1e+5fpeZH4UdwVWdPfizsiZ80z4unIWfu+uCJyRn8ubojsh7fEm5H/ 3Vybv0bW59vincj5/pp4NfJ/4nvi3cj/hq6FSurhZfFK5O9KXSHv57s9Jx6K /O16XbwROes/FFdFzuAvxU2RM+5rcUvknPpYXIPfn4rrImfw/zQuyqA= "]], Polygon[CompressedData[" 1:eJwt1OWLF1EUxvE76yqKqH+DL83F7i5UVFxR0WUVV1RU3EWMtVbXfGF3t9gt dmFhd3d3BwYG+H24z4vP/oaduXPPOfecKZmVk56dEkJog1QcwkHURh3MwH20 RTqm4Q5aoTUeYTY6oj0+Yin6ojfW4a6fHYJ3WIxe6IEzGIcqaIiLGI+qaIxZ 3kPv7oDrmIBqaIbXWIju6IYXmI+uyMRa3EIL5GIOnqITOmMbviIb+Vjgd+pd WdiPw65FOSxxjsqtj2sx3fVTTdZgMmo6xk14iS4YgRU4grqo6FjmIsMxLcMX 9HNMi1wz1aontuKT9x6FjXjmXIZjnmuQ6T234L3XjsR6PPBZDsUeTER11MJm vHHuediAx679MJxA8SSEMfxWwjHXSLWpj4deo2fbYbfPINc1SWFtAQzkuiye OAfFrh5ahaLcr8FvZfzEL/RHaRTm3nHvPRivHHOez1y5FOSZQc7pD3577QB8 cA1VO/WgeqkEz4/1ed0OsWfVqy1RjHsHHOtofMN2X+fgc4g9lB9iz99zjVVb 9cRf/PPeZZAk+hOvVYNCXKcmMR/F/NZnprNST2sWV7sWmslJIfaYYlXMO7DX Z6eeuoYrqICmuIxTaIAmOI2TKO//TcFNNA9xRjR7V71WM3gUO3229UKMtUgS a6+YNbvn0SjEGdbeN0KcTcWwy+/QWvXMPqwMsfd1xs9DnBHNRoZjmeraK6Yf +I5S7gHNxnLXXjNyDpdC/FakObezIX5LlOMFP5PmGPUtmxlib+qb9h9ILqMe "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmPdzVkUYhbOLZcYZC0VKqAEhGkAQ6S1BQKoIBIRQRAIB6SWhKIooggpW ioJiQ0DBhg0L9t5QURHLWP4De6/ncc+dyw9nzr17d9+27557v6+ocsHo+bGg oGBuKCioJW4mvl5oLhQK64TGwjNCHaG+8KxQV2ggPCnsE+oJ7wr3CjcI7wn3 CTcKrwr3COuF14UdwrXCm8JO4TrhbWGXfb8o3C1cLbwsbHccHwi7hZuEEqGR Y/xYuF/YKHwiPCBsEj4VHhQ2C58Ltwg3Cx1CypMcPxT2CBuEtrZHvu3MTYT2 5qbC6WbWX+MYThPOEXoLfYSOtt1C6CQUCS2FM82thM7mU4Qu5tZCV3MbodT+ iLebx4qFHsKp9tvHsRLjGqFGWCL09Rjrt3p+d+EMx0VMZbZNvLf6+WChv+Mm 3gFm4h1oJt6zzcTbzzawfZaZ9UNsk3iHmnsKw8y9hOFmajfI9rp5rMR7MsJ5 ktNiYapQKYxyDvgfbcZ/uZk8xpjJY6LjwP8kM/7HOR/83+YajBcqfE0eE8ys H2t71OM8M+sn2x69MN1x4H+KczhXuMA80nmMdB5ZPuQx6wj/59se66tsD/8z zPifaSaPbV57oTDN9srtk/qV2mepazfXdaEe88zkMd+M/wVm8lhoJo9ljgP/ t9vncqHa+eC/xkw9lpjJY6mZ9Ytsj3rMdt7U+yLbpB6rHAf+V3jeHOESM3lc aiaPleb5fj7BeV5se6y/3Pbwf4WZ/lptJo8rzeRxme0RB+eJ888ZpHfpU85h T4/Ru+giGln3iLqzD2gkusg5REvRVLQVHULD0IU7Q9I/9AUtRP/QJvQSjUR/ 0Eu0Fq1BX9FUdAqNRM/QGrQWfW1qf5zNjiHXMjQCjUQX0Zctzov8+jpeeg9N RUfRpkwf2zq+Eudc6LESx9fBPprbZ4eQ6ynr0Wx0Gu2jD+gn+gK9X28/vEPQ +yL7oL49bLfUMWZ6NNA5oB9d7RNNKAu5tnZxbtjo7liw0cdx97KPTJc7O+4y +yOOTq5jpunc0wOc0+Eh183+IdfNASHX/WwNz8+y7xFeT4yDnE+mm0NCrq39 Qq6bmY4O87zunotmrQ3pvC117GgL/UfvcwYuCrk+lju+sb4nDs775JDrKTqS 6deUkGvfWMc6zveZtk50jJN9n2lohXOdYh9DPXdCyDVorufNdrz4RkMqHct0 3/NNcrJQO+QaOjXkmjjD+VR5TaabVfY3xz4m2if34+3zwpBr9AUh16wlrm+F 52ZaOc9z0Y1FjqXa95k2XWJbPF/odWjKypBrZXXItbLG8a3wnmV6t8LxsYfL Q653+MjehaNCrt344ZyiJ4Uh17vLQ653V4Rc3zOd5fkqx0I/rQm5Jq52fGt8 f5Xrwxl+QrgrJB1Z6mdrbXeVc0YnODP0MlrQx/et9THaRngppHfxXtf7jpDe MeSLLqAPaAnayNx19neXc2Xuo64TY495/CHh8ZA0gHflI95HtA0dRD/QJPQO zRitWMqFj0LSZjQLbeB7F31H2/l2ejik87fVPrC/xbUgrpGycW5M35to9Wsh 6XVfjZUK71B/8fkxfbcS752O+SiNzYzJxzHieTHFPVg8RHhf12eLB8b03X2O eIRwUNf9xQOEA7oeJx4vHNL1JPFk4bCux4rHxPQdPUFcEdN39DDx0Ji+u/uJ y2L6xv9aaKrrhuJjxQtjqvXzrklD14V3G+819J/3VAvvyTbvC+8g3k3N/Ix3 YpH3Z4tryHuJ7/Zi13ir64y9e72Ovd/uvtjr/aBnrnZ/FNou75GW7p173D/4 3+kY2I8djot37C7HzrrdIf923xjy7/XN7hm0aH9IevScc2/gPXzBsexzjRr4 OfPqe/xJ122/bTH+lMfrmZ/2HHxvsn9i2uC42rhexa7HK86V53s8p47t13a9 73NtfhCWxlT3o8WzY6plFC+PqaexkZ2DGTE9Y/x74YSY4qNOB+2Tur7lWtbT 8/ox5YzP913XkzX2pfOdG5Pvvc71C+d7osZqx1SbJt4n9oi4ajmGBTGdDc4F 5/gz14JzfNj7NCums0QfnSRuFNN+sc/vuKc6aKxjTOezsfgr71ehrpvEtH+n iotj+m3aQlwU0x43i2kec1qJW8b0W7ZuTDkQPz17wLUv0VjbmPaps7iL8Iau 24vbxfS7eZk4xKRhDWOqIzXsJD4jpt/TPcQ9Y6p1N3HXmH5bo1WH3CuLNPZn SLpYpesfQzpLP/me6+PF37nv/vIa5i8Rf+Ne5nwQI+dmusanxfTbmj2sE9M+ 0kffhtRLBTHlQPx/CPzZwPn/13ax+bdQHZPGTxVXxrR//9c+pvqzr7wP0Orj YtKghrb3e7Cm6PrnkM7/HF3/6jX/CDUx9dPimDQLHeot7hXTfw+/eD1rf/N6 1v4HR/m10w== "]], Polygon[CompressedData[" 1:eJwtlFVvVVEQhe8eeMCDtk3Q4u7uVlxb3CkEAgFKgB9BcLcWd/cAIbi7Ow+4 u1uAb2XOw5dZ69xzz7Y1OzE1LXmMxWKxFMgMRTEl4HCIxSZCVvQn6gLYBSXx ZeEoehKMR/+hLoYlMBb/i5oBO2AI/h11PtyF1vj2cBk9E0ajf1DTYTtUxleH k+gp8AFy4PdQ90JzdCu4iJ4BWdD/qEthJ9TA14HT6KmQXYuDZejd0Bc9EG6j 50IPdB+4iZ4D5dCV4Dh6MnRFd4fr6NkwCD3UfC3z4D7kNJ9bfhiO/kJdCFuh A74LXEXPgkboZnAePR3qohvCWfQ0eAXJ+GvUDVAG/Yi6Ivied8O/pm4MPqcB +LfUzcHX1Bv/hrop+Jra4V9S1wff887mY+jbmlMS/gV1XfA9bYB/Rl0TfE7a +4/UfcHPIA5fAOLQB6Ap+jl1bfA11cY/pa4Ofgbx+ATzd+OhqvkZ62xPwGOo Yq5XwkMohT9CXQ4Vzd/RbzqT0uYZVPb0zgMohj8UZSDRPMPKrp4VRheBg+gE KIQuaD4XPdPelscfi/Y4Lzof7A++xlrmmVKWTkEF84woG/rPE6hp/tsqyIPO rT0K/o33UQaVPfVQMM+ssqpMaq8b489Fe97EPCPKhp61NM+8sn4BOplnSlm6 Evys++FvRWfeyzzTyvIN6G+eeWVd71Qzn7Pmqh7T2bfh2aUoAynmmVfWlUFl raf5t5Q5Zamj+djKVHHzM9NZ6c5oa97j6m19M9W8Z9Qrd4Jnox7+TJSR+uY9 oOzrWSbzO0d3zRb4CWnmd4PulO8wCr8t+J3xFUaY99qi4L0w2Hws9cQEdDbz s78XPKstzPdSmc2F/hv9pox/hmHmY6uHf8M487tMd9xI9LdoLM3hPxYpt4k= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHnYj2UW/vzOKZkaJc20L9pESqKyhPYpLUS7SowyM9dMpplmiiyj0JSP CH3ZlwifLBUKiWZCfSXZ14ikaBSNQss0933dt6vvj3Od8z7v85z3ec6573Oe 369au44tHywUFRVtq1BUFNC3ZFHRPBg/YbA19AOQt2AvhXSCPA6pibHHoHtC LoDdDfpJSC3YXaB7Qc6G3Rn6Ccg4yHDICMiFGO8O/U/IxbB7QD8NOR72XugP ISfC/hZ6GeR82F2he0NOhb0feiWkGuwD0KsgZ8D+Dno1pB7sf0A/BTkL9lro NZDlkD6QZyEDbRdDhpYbGwzpC+kHGeaxQZDnPPYMpAZ8ngMZAHud1w6BlPh9 f8jJeL8PeoXPPci+X7Bfjq33utGQkf5GiWM02M8N4Kc+5Hn7KPb+xnrf9DXG fvi8B7IbsgQy3r7oe4K/w7mTvJ57aQvf94XmTvW8iZBNkBchL0Gm2D74bozX l9oHczsb8ipkBmSa503y2EEfM/0Nvn8d8orfT/dc+vvY469BGmFfDSGTYbeH /m1o7hx/h/6IMeKRuCyDLIQsgmy1j7mQN2zzm00wv3HIx6d+Px+yoNxc4p24 nwd7u9//C7LBMWQstkE+gcyCXIW5h0F2wv4N9C7o/0DehbztPTXH+LWh71wP 3Qyy2Hl6x3MrYexLn+MK2BUhOwriGjnU2fhabYw19h4Ze3KEnCP3yEdyhZwh F8gz8o18WmEMkXfkB3lCPpK73Xy2Kc4Z8bvSeDvg7/L75Nka74EcIkfIAXJ3 mce4hhgmZsmb5/zM9SV+Jo9X+T35VGKf9EUsD7HvYYWfsU68jbUvYnu4ZZzf 0e9Iv+P6Mc7ZUK/jM/k00vso9h4Hes14+2oX4sZHXkd8TrSvCY7TRs8fab8T /W6Q98T9klul5fZXal+cN9Wx5rppfua76X5uaLyXOh/kyiteM8PPXDPTz+TH TK+9P8SZLV5D7JMDxCCxTEy3COHy84KwPMe+OI88mOt18/zM7832GN8tsJ/W xjXndHC/+Mx7muM1m30G7uWLgnBNbnxfUF1mzskh8ob8/TXsKuYS55Ef5Am5 VOZncqjM8/mOXHq/IA4t8Rz2I/Yo9qqK5ih9/Legfsba8U1BPaePZZlxwTr6 gX3ymdzpayEv+lmIYeL6WPj/2n4Ze+ZgluMwxbma5/gxJuyvG4ylW0N4IpbY hDc5XkfA/l9B76iJR2Lux4L6B/F4bqhG9HSsdviMFUJxZ8xnOcfM71Gh+sWx O50r7qsQqr/M/6Gh2kes3G4cEYuHhOrmfH9jp+PP2sC60N/x+9Yx4zvmdLH1 LttlzhNzVBk+f+Hady/0V36/xDlg/I/E+OGh5wzVd2LwatiXhzB1E/Rxodwy n3udz+XOMe2jQz1yifO5r1w+95fL5wHnlLlkTjsZQzV9p/kldIRierc5RA5s dRxfcx6IuYWOfZTrOzwD98+aX9ln/9g5Y742GwfEwB6ff7fjTZ4scvwYN57l Fvup5DvUCaE8HMQNMbPJmCPetjuX8x1jxvYD56eKexNrcg3fPaqHei37UFXo YzyfsWbMl9pHVY8zlqeFYskYnxKK8QZjd7QxclIoD7xHsRawDvwqxP9dzsPp IXzx+9Xd74n9Hwqq8YzB0Y4DMXhmqD+V+Azcf2evZx4HeJxYZd6au34xt+f6 jHeEcP9yQTXkPPOrdqjXsr/WCfVa9k6O1XYPZh/lOPsv19XyeFfPY49mHb7O tZhz69gn+zF7dnfri+Lne/Il7tl8x57N73CM73h/rhsa5/weXkN/PH9991fW GdqjjM0rXRN5x2roXsVzN/TZWR94z3jT7xt5nDjm+GznYZ1zcannTPYe6zo+ nNvEfsiDpuYCxy7zODlMLpM3TT1/jvF+Tah+LHDsiFvGj/a/fb4GPhdjVs+x 6uL8kbvEdDNz54bQPYxjrULPtDl2I+Q9f6e5/VO3sN3SNrFDfbPHGau7QvWU dayZ/dwWivsox5/PGx1Pxnq6OdfKe+AY8bfFcaNf1ue7bL/p89IX+wVxvMa4 5jz2Y/Zi1nreCVjn7wnVKf6Oo77H+2dd4B1lnGPDfZd5/21CtbiZY8WztPGc 9+yntX2W2g/zzh7Fu9N463Yen+79TPPcth7nWHvvk+dY67Pw/O0dn9beP/PP 3sX6y5rK/VXynntDD0/VoY/ID+9tOPOSqql3QD+dwvBt0Hem8LqTmArtfSTj k6rHY2Hfl6rrvaF7pfrMBsjoUC9dRoyHenVHvH8wdX9/DLprCqedoTulfh88 DtkU4v7r0NtCdbQn3n/hmC8npoyBhzD+lxRXu6TWc20P2NOM3T/C/lOKP6WQ 36Vq/Fewd4dq9BbIE8bqVuheziPvax0cq+ncX4oDM4mvVP+5HXpoiN/jICNS eVhAHKZ61eeQl0L1eyOkq7HaE3poqk4PSH2b350N/U2oN0+Evj/VG5+BvTaE A+7lWe/nSeiTU9j4Es+7QneuOZAfQ/1jEN4PTPXDLpCSVL3h/xk3p/rfw9B/ Tf1u28vYh/57YJ7HhHI9KpQDxp/YGRbCD3ExIoSNVrCfD/XV1aFcMo88x4TQ WRinF0KxOhH2sake9iIxn6p9Z0FXS/We2tSpXtIA+qJUDSUuXjY2Xg1hhXY9 6AtS/aMJdMNU/eO5F4bOXhP22aledCV001TfmApZGaoDk6FXhGoXsTMphJ/1 xHGILzcwF6He2xz2oFA/XwfdKVTfriPGU7X4FOiTUneIRyFXpPrUZ8Yca9VV GOsf6h+PwH40Veu/h/QN3d2InaUh/HwaxgfGd5i35Cxx3S2FbZ7jXZ9ljXFD zLA2fBiqD19D+oTuiZuJx9Cdt3uKt+Qs68R6n30Kcx6q03Mh16T63oDQGbj/ v8Oun+q/74RqEDnFeF/umLeFfjt0R3wYcn6q7/8eenHoTnYZ7EdC/et02A+F 7iTEyBnGSQG6Qup/JnJ0RoinxT4bz7UPen/oLtgMc55K5egnPBel7l6VyMvU XW0W5JPQHS4xdkjq3vYG5KbUva0z7JapO2VJKAeMP3N+vfNOPF5oTLZIreda YvNS47M6a1roTnUx7L+F7gnE+yXG/I2pWDPOdVLxYqyuTnGefO9nrBAnxPg5 xvm90G+F7tOtU3WKNWpgCMfE8OAQjonhWqwJoXsaY984Ff9Gqbwyp0NCnCff ydHzzNMHoBeF7vTfQQ6E/r+siPFDU/9Z8nx1U2fcTmyn77nUqf8pmecTUrkm Nvc4j6wZx7tu/BmyKnQHroKxo1L/fVaFPiZ192VdKXZt6ZOqxazDZdB/SOGc GGyTwuH75FTqHkO+nmbOVoY+MnX/PpW4Tt0lidMOKawSU+vM/f6wl4TuRx3N VfKUca2Riu1xqTNw/z+Ee0BBubo7lS/Gsl0qnsTImSmcHAF9eOp/X+7lWu/n /yIjKxk= "]], Polygon[CompressedData[" 1:eJwtlnnQllMYxt+ec2vfl0+klDKENNliijZliUZfJEsan6lsfdlCqbRvpD1l q+xky/ofQ2OmpM1WhESyjKRCRcnvmuv8cc19Xfd53ue5z7mX87aqGF5eWZRK pVkgwA+pVHoHNAaNwKtgHAu9sZeAD8AWUB+8zQ+/xW4FVbWGbsizZeB49CZ0 dXht0Ar9Ofpd7JXoztjl6HL4w/Bv4P+B3fA/wVFgA3oqdlTyWm3s3+Af0Axs xLdBceRYa4HE+6qBY+Gf6Z3YAt0c+yn6J+zLoAEoA+vB66AhqKkYwRdgL89O AE/Bp4E6YDt6L/YmxVg4xp3gRrAHfSS2km/dj60GuisGMBtfOfZnnpkInw8u R9cAk8Gj6EHYNazPhH+Uz7MJmA4m5djqys/6rdj9hfe4DowP56YfqAK/Bbuv 8J63gyn4+uQ9HcDerHMsfIZ3sjYOWx2cD15KPqOy/P3xYEfmO/nNvHBMikV7 mKH357OvB97MPvHdhc9utPKSz3CNziG/T3usw/sagNY6d56vD69Ujgv7lJu3 8ruUo1qsD8MeKFxTHdFngano09Fjdf7gIvhKfH3g8+BfwQ8pZ+im4dyekPyt Rug2+Zv1wjEpluOSv1U3zPXN5vAWoC16Drqlag0sKuw7Gt4s/O6J+GqGe0C1 3zI5dzXCXDmciT0I/oJ/AhqHe0i9o5iugg8AK9Cdcq28gd1VuGaWoVdh30cP xS5AL8R+je6PXaQ84TusXgVLwz2s3h2M/S7XUL/cE0vCParerMA+hP4Y2xdc Bmaht+Wz7Zt7YZ/2nXtif3KPqjfla62zC5/Fyei28JNAO9U+vnbwU8K8Pb7O 8E5gGvpM9Hx9N5y7LeBEnS2YVPgdZ8PPCedevzkV3j78rimqCfgZoENyjZwm Hl6Tby64FH2wcI1cqNrRO5Nzei78vHAs0wv3VqgGco9paGrGaLYck3vrcDJX jx0RnkmaRfpNG83G8FloD7OxPdH/wr8E3eBdw9/qyFp3eI8wn4GvN/xisKRw jAvFsdvQA7CL0a8kz5qB2gN6uXoafTX2QfQDyjG6K/pu+ChwAfw3fLfB7wrP gl+1X/jw8Cz7RTUGfx7+o/aGXQqeTp6NuhMeAf3DtaoZf1+OUbGphsfmGAfm mh0ZnjGaLYphEPoJ1SW6wK7ONT407+Fa+GPwrfAq6hvtKfmuUA/1Yn1O8lkq p+/lmlYt6475Q/sE6+FNsYdU48m9pxxcwbOLk3ulpHyiX8TuKDyv1uaeUC9o pq9M7qnBOQfPYG9QzWC7qG/gC5JrVz04JudEuVAOFMvvyXeHYlqGvT689+/R j2OvC+9VZzIsnBPlohu+EboPwryn5gO4Jhy7zujD5JgUS8qxPZuce8X4HBiC L3JOX1BPh3OrPevuf009kvwfYK7ON3xXybci+U7TXaaZ1ET1At9c+D/AZrAp eVbKNzJ5Rmk2qYYnw3cl50J31L3hmlQt9kq+S29XDyTfqWPgo8P/NTTjdXfd E35Wd9gd4RpW7eo3moUbk/87aCZWsPZkPlvt+X9VixpY "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm812MWx6/c59wiLaQkqVSkTDPKMpYZM2PsjMHIvu/7kKXsY2eGGcYY hhCRrSKVSvuGaF+0a5GUfUso5vN2Pr/X7Y/PPc/3Wc5zvuc5z+ec7/21OfOy oy+tU1VV1V1/NpUcGVVVzYXDSlXVryXb1lRVnUNbeKq6qup54S61jxP2Fv4h HC/sK9wo9NH4i8LNaj8j+ZJwvdpPS74gXKf2tcJzal8oeaywl3Cb0Fd9/YX7 1D5B+I3wup5fEQYKD+j5JGE/4UHhZOF3wrsae0eYIgwXXvaaf2nsROG3wsPC /sIfhIeEU4TfCyOs+1Vhn5JrhwlLhY+Fj4Rb1P+sZD9hlDBIGCyMFV4Thgp/ LLlunDBGGOKxyX5m7gTbxztNtGT/8d6TsTe9x2jhLUvWj7SNg/ye47xutuex z1T3sc80y4nWMdg2zfIerJkhTBLeEGZaMjbd6xi7qqRv5woHlNyX53m2gz0X eD/W/SB8KnwmLHQf+yyyZJ/3hflet9KSuUtsH+90kPaaI/mesNjrGFtenefN /iss0bXMNjL2gfUtsh0rvOeH1sU+B5fUvcbrp/odPvUerFllHYsdC0u9z0e2 i+fPrZv3+MTjyz02xzZ94XHs+tIS3d9ZL+vWCqttz7eW7HNoyf5vhHXuY82P 1ou+760D29f7nbFrgyXzfvLcrziTkvo2kawpuZ5zq+N+bNm0pPzWa1bZf6Wk HdheXXKc5yjZh666JfVhS72SEltmqj2jJLcQa8Q0sU6cjfDzZiXn8n6bl5TY 3rCkvdjYyBIbXxGaCe2FbUquZ92WJe3D3q0ssbGx1zHWtKSt9ayjntdvbb8w 1kvYQmghvCg0EXYQnhAaCNsJvUva19L8BCdx35733m3gQu/dCp6zfa3hRb/P 9kI/791W+JNQX9jWe4ZtGmC72wmv+p13FIbDP0InYb4wROghzIMfhaOE2cIs 4c/CXKGj0FnYQ9hV6GK5i/ALYZQwUvilsLvwK4+PE8YKXUtyPrwOv5MTyANw L/xPHiAfwJ/kAfIBfAx/w2PkAfge3of/4Vd4lpxAboGLyS3kATianACXw4Pk FHIROYk8AJcP8f37xHcEjofv4eEKB8EL2Af3DjfgyfHVtbw8wfE4yc8vex4c PdBjzH3VMTvCY+iAHwc5rhljb7h/jMfhmSnWCzfCORWuh3uJqSrH+uFuE38V Tp9q3cx9w3one/1I902yHewDVx9Ykrvfrk4fjamuzQmjN7qDM2zT1SV5f47X w6lzvQfcDA8zBse9Z5vg0Hm2cYGfp7iP9fD3Yp8B65f4mbHlPjee4Ri45pCS HL3auuDYFX7vWdW1+Wqm7a7kg+U+Yzi2kltWej22wp9r/D7L/A6LvOcHfv+F XtfF94A7gl74ldi6pqSP5ngd/Pil94BvP/OeX/iZdfDh99W1OeAL66IP3uQ9 4dtvbCOcCrd+7PF11bW5Ya33WG+9jBVzGnrhzA3e5yc/w7vTHU+V3LDe+9Vx vKG7utRyP5Ix9od/2AN7a8xH/cyF8BN21DVHoRserVdq+Rp+PMIxXd92NHBs V7h+M9vR0GM15sMmtqmxdVU4fUvb0cTPlXxT12jq9fBtK6+Hb1t6jyNL8mzz knzewvZgB7xKToDbt7M9lTyBXvh8e9sDz7e2PeSINrYHLjze3AVvt7U98HZ7 6xrm+IKL4eYebh9dkrPhYrgWjiYe4fK5jstd3b+75/EMR4/03M5+Znw3r6lw /F9K1vRwKHwFJ8MHcB3cC0feLdmtZF18qiU8Rx81e6XO3rfU1tDwM/p4hrfp Qy85Ee4BcDW8CODnoZb7u/2I96OmPqNkLcjdvcTP8MLFwmkleW2p5Tu+R4xz V84qWWsQa5eWfCb+zivJL8xdULLG4h6c5j3hzvqeSzxcJpztWNnF54Ivu7uP HH2B44lYWlQyx3a0j48pmafOL3kH6tt/x9qHkyQv2sjX3dxf7ZgibjmT43wu +PUE+5ZYHOC44gxPKrX+Ptk+P9h+w4e865l+9zck79nI16f6fDmfU3xG+P70 klz3luRj1nWA/Y+vDrdv8fOBPpuf841wrtDBe57nfakZbipZN3Tzu+9lX55t /5xjnzZ33/nu59wucQxcWfIbkrVvCv+zTUf4vA/3mVxm3cscK1d5zys22re7 96Lvcvdf7j1o9yx5N3eyL9Dxcw4pmQvIrfjpGo939PxKPdbTfqBuuaHkveMb mBqI+ueOku0B1emzv3o+ddX1jh/Gr/OcG6wLH/axT5mLX2lTew32vtjMvaT2 4m6ucP4gL1GTUauhA27sU5IfqcOo2xi/tWSb+owY/Hup5bZ7S8ZjpYZj3e0l 2/2tg/XUf8T7nSVj+VTH3j5+7zs8n7j+p+3l7vXyuRPX/y61cf2fknH6t5L2 o5+4JD4P8rveX/JOnObYIMaJ6/+W5JvHrb+Fz/BRnyO23+737eV53HFywBO2 C97HXw2N3h5/yu2Wnvuk9ff2GLmE3PFsyfzRx3poN/ZYI4/TJm/BAX09jnzO /eSal0ptvnnec19wu433f8L7NvGaylzmtbYO+snl8Eg/z+3vdlvv2dfzb7bf iTG+v/gWaeq5/a3n5ZK8xNjBoW+IyJyzi2RNjepZtS9W+/zIWIZPyWvkLO4N uZC4fb3kt00n9812/zD3821yuXRcEhn7O0j+KAxV+zrJayLj72bJ6yPPtaNk tWwYw7mrfUXk+7TGxsi7t5PkJpozouT/wPaK5KTO3pt9p9i+TrZlhPtfK/n9 1cHvMsRzqCnI/c0sB5WsA/jOwpauBvm+i8eZx/fdwJK+bm850L5t5uem3nuk bZwqjN6ob5R1d/FzV9vEu8BVt+ODyHv4jt+hg20f6rl72LY98bN8smckNy8s mUe/VjzMV19VZHzOk1wQGTuzJX8qGedL8G1kLHG/uFvc8Q3qaxO592LJ9yJj tL5ks0j9KyTrRMb2J5xjZHyOlhwbeVcbyLaGwmS1P1bfp5HxOEtyTuTdWiW5 OjJel0u+H3kPPpTcNDKG3yuZy4nLd/081320d7Z/5ttXzJnn/qP8TFz39Jwe 9hP+Ig9P9zO1x2Lr3dm633W7sl9HS+ZRW1DPL7GOSg30tvMSbWoh5DL3t5Y/ ukTmqDZq7xaZkxdYD7692vPRMUbjP/hsiM1pjpkq70md/r3mrI2M028kv4iM yyL5WWR8ni7ZMLIOOkzy8Mjcu0a4LTKXnSN5VmRu+zzyzDivMySXl6yfOPOl Pvf1wrhIXiWmZkTGFTG10HH1Iz6I5GFiZI3jhLNd6fMlTuc6Vj+KjAni4YPI mCAeTpY8PrI+2F9yy8gap6l8uK5krdGO/SPPZZhkk8gctJXmfF1yfhO115as X7bReNPIGGim/u9K1ik16vsu8r4virw/3J3xkfFNbB8jube56E3JCZEcvyzy znBf3o2MdeJ8g/BGJP9PkXwrMg/NlJwamX/gLfgCruDMT4o897qSW0Ty7fiS //chBuDuiSV5YJrHunp8gvupv7h/1IXUa9SO5Ge+Kah3qfuoE6nbyM9jvZ61 8A3c2smxucAxd5jjnhjkTlFfcu/g63fcZnym43mJn2lzNuQP7hHfF9S+1CBw 5Ci/+1bkjcg64AP0Rua4b0tyEHpWcT8i6412NfkbCWexmWSDyDvbWP0/RNZf zdWuF1nTfShcG1lXrFb7psiaZ6XaF0XWckdKdvXdHC65q+/sN8LmkXd5hdpn R9aPraS/c2RuDWyMzBH11N8tsoZ9XzgosubcNvI3HnxJHLXz7zuXRtqBDeTJ GyNz5SOSD0f+JkMu7RmZTx+VfCyyVuNdW/p9ycOXRebiZ4jByLptAHc6sva6 U/KuyFqQuoB3wP59I/2Fr+CSr8wn3SPPg7PAH3AZPtkjMg+Rg7aVbCHMKek/ OA4f9uOsIn/zoR6BV+ABfHam/fakZO/IevFxyV6Rvx1dEOk7/EadcmFkrRLS 3Sky7s+VrFuTPPac2n0jf5t6gdiJrFOHSL4WWYNuqrk7R8Zdo0h+hBur1L9j ZD0Bp66L5NWBkq9E/n71beQZc763RMYQ8TOYuZFxDY+eF8ml1DVXRtY2+KZV pH9uiIxF4nBaJFfCk5Mj+QKugCfeNldQF9waWRtMjORfuBf+mG4OeZBzjvw9 8FDJQyK/zbgTbX0v4NETI7n0fskHIr8l4M59Iu/oCZLfl/wWg9smmd/goUY1 yUXt1d4vMsc+jY2Rvw1uHcmzcOw9at8d+VvlvdgVyT3bRXIufMs+R0fu9WVk 3iJn3UdcR36f8Fvo7r4vLSJ5H85/Xe0Rkd8bPSJ5AU7ooPaxkf+/IVeQA+D/ h4j9yO+l/wOiXQZn "]], Polygon[CompressedData[" 1:eJwtlnmwlmMYxl85z/1VlsqalJzWIWaMsYT2SHs6hDbLkVbOiRJpEuK0at9L CCktUp1kmaRIkkqTNetYhihLURnb75rr++M373W/7/s97/Pcz33dz1dYXFpU UiHLsjlQAC0jy47NZdnrKct2QA/i7nAGegj0RPcK6xowDv0z1xtgLDQlPhsG o/tCb/TJMB89DH6FZ4mnayxYjH4GWiTf64iuBnejB2lc9D6uLzC5u7i2IM6Y 36vo96Ar8SXQB10KzdD/wEvo7XA/egSMRq9gjOno/egbYSK0I/6JazcYCI2I E+NvQm+Gc4grEG9IzsnFxKcS70Z3gLrEZxF/rndhGvEUaIKekJybqWGtHHVD 14eu6KLkucwifiw/p0L037AueQ1r0OUwF30lzEbPhKbJv5mg38I49BVQO7wH yv0HcBJza5KP34XT0bW4txd9iHw8QDwynJtHuXdTeM+0V/fCVegzoRO6v+ag 9UM7dD9og64JXdADYHJ4TprLeDiOb00K67cVo1tDG82Hb45CPxj+9kriBuj/ 4JXkPV6GXgot0TOVk3BOlIt58Bs8H37WCw7AfOLJXLvDL/Ak8VTVMqxCr4RW yiW0QkfOe70TniJ+Apon/2Y0+uHw3MqIf1cthn/bG15EH+TaGuYk19IY7o3J 19RYdBlcnnxPta2aVi2rxh/R2sNjq8YXoOdBs+Q1LA9/U9+apT0mrs5896Cv gebKP/HHyTW1KOwxeWsanCCvcG8B+h3NMZwj5WYSXBf2jLwizxajq0JjPYNj cu4J6gWvwb9hD8p766Eg5xwqdxuTa6s6cfvkGpNXDudrTZ7R3CvyvGHyGg5q fVAPvTrZS/XCa5OntLbKYW9pjcrl+HCvUU7ltRlhL8tzF+jbYS8PVY7QJzLG NnQJbCCuEfbubVBJcc5ekUduDntGXhkOVdHVoDx5zl/y/Av1ONWd6kv5hlXJ a/gK/XX4WaE8iN6jHoFeDO+jd6vnJd/bgn5LHlOdwhvojeHeuhA2oTeHtd75 Ef0D1JFf4BR5BW5BX609Qr8c1trz79Dfw/Lk3+zSXqkHJM9hn/pfeKy68ih6 a3guNeVR9LawXqQ9RX8GS5JzoF40N1xL6kkfoj8Kr7U2fIv+JpwLzeFT9Cfh Zxpju2opPLbmdAC9PzwX5VRnwxLtcfIZIW8+Ha5teVReWQhTkj0zWN6CUehl 1NxQ9JCwfoh7pegS7U+B3xmOvk/5KfAZcQ96WPhd3bsw3BPVC5XjKuhb4dpk jwxC3wEjk8e8PlyDqj15/BB00jvJPe9P6Ex8Z3IPLdJYcHvyGatetyLsdfW8 x8M9TL1La+yjd2GE8sf3jiafgTr71IMrU6sdwmfnFtUEum3Yy0t5/zR0FyhO 9uiRvEfkDfX458I9Vb1UOe9H3Dfcm/TNgegB4bG0Zp2N54a9rzNSvbthuFeo hx9BH4b66LXKB/qPsNd1r1bYc/JaeT5XxzPm1uSc6SysE+41OhOPov8Kj9Ug n0v1OPU25bRKzh6Xt+V59frV4d6snn9p+EzTWab/DOs1n+SzSP9R9O114bNF c7gofObprFPOcjw/X55FvwkViSvlvNfKkf47nBd+pv8Qa8NnoM4+neETw3uk vdGZfVn4DNXZqRr4HxMBOxk= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0SVSBgAQgNEfGAKBAQKBQCAQaFyCC3AEDgCZjg7uLgnXQqHj7u7u7vYY CG/2azuzG5eSlpwaFAgE0knkt0MJI5woookhljjiSeCLR5544IVnsnnjnVc+ +SAn8LcgiG8ZYgaTqwd/9+l+855mbmnijj5uaOSKBq7p5ZJ6zqnjgh7OqOWE Gk7p5phqDqniiC4OqGSPCvbpZJdytiljhw62KGWDEjZpZ51iVilijTZWKGSJ ApZpZYB8Wsgj0h0iyNILLDLLPHNkMsU040wyQQajjDHECMPMkPT/3x9GWFC+ "]], Line[{162, 185, 179, 267, 163, 266, 164, 197, 268, 165, 188, 189, 190, 186, 194, 180, 193, 181, 270, 196, 195, 264, 263, 265, 260, 262, 261, 138, 183, 184, 178, 192, 161, 191, 162}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{274, 273, 277, 537, 528, 529, 527, 531, 530, 477, 533, 534, 532, 536, 535, 478, 539, 540, 538, 542, 541, 479, 522, 628, 510, 526, 497, 524, 496, 525, 476, 276, 275, 274}], Line[CompressedData[" 1:eJwl0mkzVQEcx/FzKct4EbpKi4hISCVRVyrJ0lWUpbSRmxrurawJL8FMD3pt JWvETEWKRh/jwWe+5/97dObMCXfFGvpCQRB8pMTDMWZY42FSEDyigy46+W5/ oO20cp82Vu139R53aCHKir1Jm7lNIw18s9/Sem5Qx02W7bV6nQjXqGHJfkWv cplqqli0X9JKLlDBRRbs5XqeUs5Rxrz9rJZQRDFnmLOf1kJOUUA+X+25mscJ TpLD7N630uMc4SjZfLFn6WEyCXOIz/YB3dU0DREnIIN1+6D+0HRNJkESj/lp 79Zf+kQP8IwN91Pd1Od6kF5+u3t0S19oCjH+uPv0r77UVF6x7e7XHX2t//QT Cd7wlncMMcwIo4wxznsm+MAkU0wT33tfokRC+//Yf1VqQ+o= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{634, 633, 754, 872, 1005, 1006, 1004, 1008, 1007, 1157, 1158, 996, 952, 982, 981, 880, 1048, 1049, 1047, 1051, 1050, 881, 1058, 1059, 1057, 1061, 1060, 882, 1063, 1064, 1062, 1066, 1065, 883, 1068, 1069, 1067, 1071, 1070, 884, 1073, 1074, 1072, 1076, 1075, 885, 1078, 1079, 1077, 1081, 1080, 886, 1083, 1084, 1082, 1086, 1085, 887, 1088, 1089, 1087, 1091, 1090, 888, 650, 641, 640, 639, 638, 637, 636, 635, 634}], Line[CompressedData[" 1:eJwl1NVTFWEYwOFVwG7RK/N/sVvsVuwCW1FUVBQDAzFAMbC7Y+xuxJyxe0yu 7I7nGy+e8/u+d5Y95+zuoW5ickJSsSiK4rwUFY+is1ykgELiY6LoIC84wHXy YqNohs5mHyvt9+serrHMPl1nkW29iGnsti8i3XqvLtfp+pws64VMZZd9mu7U KVqoT9nOa7bxhis84TFTSXXsRCYwmUnhfc2fMd+6QOfpVV2gt3UHueFYfcRF 8u0v6S22khPOqw+ZY51JHzbY99b1eo6l1qk6k7WssF+nq3nA6bA2O6M3WcWS 8Hn1frie1h3pRHuWmXXQ4+FYPaHveBveiwSz8ZrBjXAuFpul6L1w/a2b0JSG NKYRM6lNHWpQi5pkcMff3Q3Xi5ckU828OlWIpypJ5pW0MuWpSAWGmpfVcpSi DKUZYl5CSxJDHLEMNi+mxfljHelfHcR3fvCFb3xlIB/5xPtwP/hAJp85xC/m 8jPcb35zmPrOvUDraZY20CPaPDx72kyztYUe1Vbh2dWWulhb6zFtqznaRnO1 nZ7ULrpcO2uedtVT2l1XaDddqT30rPbSfO2pazRRz2s/3ah9dZP21wvhu+tm HaBbwjXSy+G76qvwWyElPBOMYRxjSTMfqaMYxgiGh9+IeZImh/sQ7l24T4ym fsz//wf/AN6hk04= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWQFUcABdABFie4QwoWKD5x/8WCBqnCoXB3d3ciENzd3d3d3d0t6EII CQmcLj7O3u77enZnevptbNNONTrGi6Io1o+FMVG0gJoJo+gBTRJFUSoak5qm 5CNH4ijKL3+iPI+sbSPb0pr2tOOxvqPsRAe60Jkn+m6yO13pSQ+e6nvLPvSi H315ph8gB9KfwQziuX6oHMYQRjCcF/raMg2VqUQy9/yL/JVx/M5vJNdvkpvZ yFa2kEJfRX7wu9IZpzUuHdbzUbdNpqMhjShETusKyh2kZzu72MkPPqsq/3Jt euMMxmUoQqx5YfkzGcnMj7pM4T745JoM5kWNs7CbrOwJ70efkmrGf1uX0Tib cVmKk8u8mKzOZ59nMs9uXI6S5DYvIfPIUrImNfjH2rqyHnVoQH3+1e+T+9nL QQ7wRX9YHuEQxzjKf/oT8iTHOc0p/teflec4wwXO81V/SV7mIle5QsR1bnCN W9wkHne4y23uc4/4POQRD8KZ4zEJwnkKZyecN16G80IMr3jNn7zlDQl5Txzv wrsPZ4JE4b2EPQ/vNOxX2F8Sk9czZCY5X32f4njGHS5xgv1so7Q1cax33QbW sI614e/qV8nVLGclK8J96JfKZSxiCYvDPesXyIXMZT7zwnPoZ8s5zGAWM8Oz 6qfJ6UxmKlPCPugnykmM5w8mhH3Rj5FjGcloRoU91FeQFSlALZI6T0loadyK ZrSgeXgv1i/z7EtZwmIWxXz///MNd4GoAw== "]], Line[{1362, 1324, 1328, 1332, 1333, 1334, 1335, 1477, 1581, 1799, 1580, 1797, 1579, 1798, 1602, 1796, 1578, 1794, 1577, 1795, 1601, 1793, 1575, 1791, 1574, 1792, 1600, 1790, 1570, 1788, 1569, 1789, 1598, 1620, 1568, 1597, 1567, 1819, 1818, 1545, 1817, 1596, 1810, 1631, 1565, 1787, 1809, 1808, 1549, 1544, 1816, 1595, 1566, 1572, 1822, 1571, 1550, 1546, 1820, 1599, 1573, 1621, 1576, 1362}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.8999999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.8999999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUFde3+LHEFntXFCUaYxTFFrEy2Bs2jJ1o7NhQo8GGYi+xI9ij2I0F wS4qV7GjKKBIVTpSLr2oqOHlrXU/e9Ya11s8k/x+7/veN3/d9Vl79szec87Z 55x99xnT8bNsJhU1MjIaX9LI6D9/ly3+vbnJ6nDduNsrdT908lC6e9sHeQx9 JlyhqPebNdb3hEeYLKrseem4MPqjer0Mv9nFR/Rh9GH0YfSLn3kbbDPpsejD 6MPow+gPL11m2k/dn4k+jD6MPoy+2fUadh2HhYg+jD6MPox+kVlfTy5u91L0 YfRh9GH0U7bWOpfQKVr0YfRh9GH0h06r3/LR3VjRh9GH0YfR13X7xuPsgATR h9GH0YfR/7Zuc3OX4ETRh9GH0YfR357Xxn3BjymiD6MPow/fiy/y0jbmgvLx acdmPySlKjH72q6YMjNY98rhYDnzCbsUa13/wTmLnwjzPPjoettOrTtcF0a/ 94QrqclH9KIPow+jD2Mf3ObM+uOlyjsr5zrpZjxtli7+8Tz8g9GHuZ77cb32 /vhfZXBcichJvymHai0q17BXquK4ZdqSkWM36Wqa6ld8O/SYcNrpPD/Ponql 2OFtbX0r3ZDreZ8wcu39R6z5aL1jQ5pcD3N/rX3cr+XGPSFdF4bqzNxPDjWb PVvZfiaw6cZxQcK5T8o4BfUJEHaPWn2k80RfYRmvBp7TIK+vfxsfYbvHj2Pu lrkgTPuU+fbAtfSxXvJ+Yext67DtRqMBF4Ujw09fvTJHJ/rm+cmh64fcF32Y 6+/Ujxt11PeO8J5nmSPsIx6Kvt68WMqma/6iD3O9/ZqCYRZpT4QP7VvTxMgo UPR9YiomDfMLEn2Y68s6bPotbt1z4fkDXRo/rBQs+jtcTV7XiwwTfZjroxvv PX5mT6iwddFDjZwbRIj+jN5m8YkZkaIPc/2l8BNHHU6/Et4aNtz5zJ4o0Xf7 uC9zxPIY0Ye5vmev8IB6kdHC+efHVHJuEKu2X/Dh2Z3LxKvtZ2Cu96gfM6i4 XZzwxE2Ttjqcjhf9eR4n0023vxZ9mOtr5yc+TcxIEH4yeUaF0d8lqvFhvad9 iTrJ6vg0MNevepY+wG9hknA7q7mbFW9VznwJM//BzGcw8xPMfAMzf8DMBzDx HSZew8RfmHgqzzOMH+LPvbU6vZN1vCXxB+Z9wIxPL5Mu9u6P9YrjrTW3F1gF W1ZYFXIubdovwmFDU36c++Cg8PPwbU+Wu1wWtnI4feKHpjeEXYZMjA1MvSvs 6zbH3+rqA+H9EbpZ50r5C3dY2XPyVPsA4Xlb/GYurh0kXLHt9xNbLXsh3Ltr +PTuZmHCcYnjxr/fFi5skps4tZxlpPBLP4sWMYOjhN8Ned865ZsY4V7HLc/e C1N5QrOi5596xAl7LuvR/NSEeGG/EqVbXWj/Wth4lPWZLXqVLaIqeO7ySRJe 3XqI2byfk4UPXq3eYkk/vdLXrnyRSmnBuszqky76/PH+aw/7OKDXkqfCVpev WYR28ham/WCbWuN8ex+4pcDc/8vtdc+Oe54mPDLhxyad16YrCyoEVhj66wmZ 39q4LC6+sG68N/MX10v/N7D0fwNL/zew9H8DS/83sPR/A0v/N7D0fwNL/zew 9H8Da9cf+E9/h5nvtO+H+bFy/fIP3x/3lvly34QSrm4198j1ZlcORV+KPPeJ /nC9/khk9Enh9m4vpidcTVF+rDIupGj8Jbn+g/nNku/K3lLqPB2b8vJkqhIR f8O137qrSsrsIz849kiT+bpLUM7S3C/SlAX1e5z9KspDKe4dcM72lTpfr356 Z+zLnWlK5fKlh05zvSjzd8Pb14wneR7WfWJfoz2z0rekquPFML8TL7ie+V6r z/zP+or4wPoKJt7C3M/+ReuKZ86niz7xZkDZ68lTY0N1Le5v6K0b6mZZtezC e8YVVHZo5llr0pvnwh7NcjqffxQkzPO5X+WBZts+nA8QeciApBnukf7CP0V1 XZa+5aFwctSDBxvaPRIm/sH4w/1PN2g/y6T0bZG3bXC+0YofbwmnPeq559vx 54RjHts0HX/+ojDjS9Yvhve7q+K2049Knlf7u9uw+NIRN2U8ynrFIM9NnRA4 //ht4aklforeW+Ar18v6xCA/MMTpSelHfsJlLt1L27EtUK6X9YhBfsS2f3z/ N+r4fWX3XD/2cLBcL+sPg3xRhdGx1UuHCl8wjklufDFCrpf1hkE+wMcuOrL2 K+Eer+fnLIiNkutlfWGQb+twbdb3O9T4cPbm0rk/zIiV62U9YZC/r+KT1q6e Gq9r7Vmd1SU3Xq6X9YNBPin1wcy6J9T4snLuxjmNliaq8ZD1gkH+9N5TfZGW ajxPtd6eUaZkilLTo5HHvOLhMp4isnYMKxkUKNx1evn81v3uCpex/Wi1ycJL eOPCdqU/XjuljkfD84nPPO/wwpfJvl3TFIfXIfYlerkpQcfMFx7/OV1ZFDCm mLf+heifXt/z+1Ev1Hi4tPH+IQcX+an27ZqZG9r/vrBbH7+oujau0l8vb+jQ fn7tZZ+Mjx7PklokD76iI97CxFuY+QlG/0G9xzE1m24VfRh9GH3YdqabaWl/ X4nPydljk+fsDBJu5JneLfLeS+GWl3UDGr2PEX7quvZ9ROXXwjPnDTyxvUmK 8JdDagzt2zVdOGhX+jKjM5nCDdcNCQ6/ki08d/7lZpfv5Ar7TDZe5ez/RrjS MKewmRHvhH/sEduiT+J74bNteq1tmPNRuKDBqZcFBQXCxPsL35u+qN8+Q8F/ GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/Ifxf+qtI9W2L8kU/2H8 h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn+T5o2HfuGTJf7D+A/j P4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/z/accplfIkf8h/Efxn8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/9eVNH+e1DdX/IfxH8Z/GP9h /IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP8t552rYrslT/yH8R/Gfxj/YfyH 8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gf7i+R8UHe918ZH/G+5D9mmF9Xf7L2NyR 4RnCd+ZP/u5xvSzhBXFJ8ywnZgs3HzzzgseJHOHYGxnZX6XmCmufz3yEnPgM E69gxi9Mf4ZpX+/NIfNsrtyT/CL5yXLZyzaW8k+X/RD7G+tquzpfcwoQ/2Hs Wxf4zc7GZ0NFDkt++f7ot33To0QOI192rMHRIiXjRQ4jN1mdMviKSZLIYeTX J5z/3b5tqshh5M0O3giqfDxD5DByx62mZmnnskQOI3/stHrFQ+8ckcPIa89K CjnimydyGPm0Mf3Nl714K3IY+ZX+nqtHx+SLHEZeqnO1iLZpH0QOIx9utrBV 5fzfRQ4jZz9lEb5vqoftaVnfwexHZ9ePaGVqdV5488/LZ5q0P6Rj/8j1MOtD 9oPIYeQ8H87vZ/dE9/qJ9L/2sbet+v+xz4F/dhuyxyswUjjEPfNdlSJxwg6b rh7zrZkoXHXG8iHLW+iFRx5taFSnYYbwCZd1w96YZwm/Xak/HdgxR7jn3EHF 3HvlCe8Yf2Hk+iFvheMG1/SYODZfuE0XxxJW0z8Ir2wRZWs8/3fhpo0rlyq9 pOCT/xO062nke4t/2L5jwzNh4iscfGtDarFr4cLEW/gX3abD7XKj1f8LDPEX brx/6KD0sgnCxGP5/8Kx7sejDZOFic/wxNHxv9l2ShMmXsNFfh12qnSTTGHi Nzxoo1eR+O+yhYnnsNtikxE3u+QKE9/htGkr3Pf2fyNMvIctRyUUnz/ynTDx H97Yp+9om0nvhZkP4Ih27p7N5nwUZn7Qtgfji/YiPtIeyGkv5LQHctoLOe2B nPZCTnvIfGRoL+S0B3LaCzntgZz2kvyVoT2Q017IaQ/ktBdy2gM57YWc9kBO eyGnPZDTXshpD+S0F3Lmb+SMP+Ts57X75/9ufp75f0CwW82HO9V8bqBXuOm9 dx46+LHVii3P7x7TxfW56V2pwF/yefVLDqrp1DxU2DwmvV2ee5Sw383L8afv xQlPP+DkPOFVonDppb2U2nl64e/dSzokrskQPvTr9Me3nbOEszY+/erA/hxh K8fWCxedzBPeOn3n06GX3gq/GvX+65Y++cLN+451LPvkg/DS9rcDX4f+Lsz7 Jt+ozWfzPjq1rVzjsHuGcEzk+ecVS2UKZxxyHVYtW+Ud1hZVV1pnCR+rUGvH WotsYeurXkNyt6o8ynFf0LvFOcJGjSy3TwlSuWJSvWozbuYKX3K+FRhaK0+Y 9Rasjc/y/m2uXirym5qfZn1W9X3m0Hpz1PjA9cQDmPEPM95hxjfMeIYZvzDj FWZ8woxHmPEHM95gxpc2/6Vdb5JPlvynYf0p//cY1p8w60+Y9ad9tb31V/e5 qzRJvOY3onyqsvlFRoNLTx7K87X5NW1+TJu/Zz1Kf2T9CbPehFlfwqwnYdaP MOtF+X/OsD6EWQ/CrP9g1nsw6zuY9RzM+k3y+Yb2kPWa4X2WXxPRzXHNReH9 3xfZ6T9ir+7fPd/fpPigerYBj6Q/2egsphrXfCG82fG+z7per4Rj9zUtv7hj rPDyxdleLYeo47PeqGtTEqep4/NGu5VVD6xQx6f7hqNRTfzU8fn7otIWJULV 8Wk9beam6Dh1fO4bGRB7PUMdn8m9v+uw64M6Pju02711bik1/q775mPCgKpq /G1Rz9y5U+0CNd60zF0SFFnwyfhlf0r/WPNt1oXgSSrv0D9rGzEoU65n/yrx e8fPOX1OquPbeuRwhwGuWXI9+1uJ50Xftb6epuob3Qu7ePOP98D17H8lvs9y nNu8tcqXWo3JbWWSK9ezP0ZuG1Fwzm2+ytMORLc5Oj5P1te0/4WoWdcnGgXK +1jReN30B9XV+Jzxa0G1QPMwYe/4Gne/66nGa9cz9y8fMI8WdgoYsiXAS43f rTdumTisV7xwXQ/jTusCE4QDpg2vVG5skvC1zbGJlsnJwrP61PO+7ZAqPHLm KdfcImp/KuEy97vO99X5/cPR9qYvNqr9a9jK4A01n6nzfV/XX+d77lL727Gf OsZkv1Ln/z2rijzZeETtfznjDrR7mqyuBxLnTmpo56H2x+6Di205maeuD9pN eLio23W1fzpbTYlfXVSdP9bYNAsweaByjPmjjuPKq/PJiy7bvsl/prL2/1Xt /7O0b5TToDdTy6r5cdZvzIcw8yHMfAgzH8LMhzDzIcx8CLPegbGH9QL2wNgD Yw+MPTD2wNgDYw+MPTDrU+oFWL/ArE9g1icw6xOY9QnM+gTmedQj8DyY58E8 D+Z5MM+DeR7M86h34Hkwz4N5HszzYJ4H8zyY51FPwfNgngfzPJjnwTwP5v7U Z3B/mPvD3B/m/jD3h7k/9R7cH+b+MPeHuT/M/WHuT/0I94e5P8z9Ye4Pcz/q T7gfzP1g7gejT70K+jD6MPow+tS3oA+jD3M99S9cD7O+Yb/AfhNmvwmz35R8 qEGf9Tf6MPow+jD6rM/Rh5GzXme9y/qS9T71SOx3YOTUU7D+Rs76W+qDDetv qSc2rL9h1t8w41H7POoxYOotYOopuB9y7gcj53r0qa+AqZ+AqY/Afq2cegj8 5Xr6O4yc69GnPkLev6H+gfeplUu9Ne/fcD3tpa3HZj3Iehtmv8D6j/4C0z+Y /2Dt/KNtL+18hJzxBDMeYd4XTPzR3p/5ASZ+w8Rb2htGTrxEDiMn3sFyfsDQ /jBy4hHtCyMn3sDEE1hbn6+tX6e9aE/GM+0n/9+SzzXUQ5NvpD6Y+vBOCbdX O5hlSj15pk2vu4mzsySfTv07+Xfqjak337Fv9dGzT9R40q906XjTKtmiTz0s LPWN1Gtr6tvk/yEDEw/xV/5/MrD2/w3ksLb+Hnv4fwvm/zCY/ydg8r0w/1fA 5Hth/r+Aef8w7xMm3wvz/wZMe8LkI4jXMOOR/kx8Jv7BtAf1+zD1++Q3JN9g YO5PvgM5jJz8B3IYOfkQ5DBy8iPIYeTkS5DDyMmfIIe174f5hPcD8z44n8D7 57wA45/5gvgE036cD+D8Bv2d8QNzHgPmPAbM/K5lybcaxpP2PAn/5+IP8Rgm fjL+uT/xHyZewMQj7f9b2vUN8YX3RTylv3P+gfmN+RAmXjK+OG/AfMd8CBNP Ga+cL5D1i2Z+JN4y/jnfQ/xgPUV7RJsXndz5F5W1//9gP+Of8xTMd9hL/OC8 hMyPBvuIP5yHoD1ob9qL5/O+kdNeyGcb7V4d1kYv8zfzC/k2ng9jL4x/MPMz TP+HGU8w+2WY/TLMfhlmvwyzX4bZL8Psl2H2yzD7ZXjy9NculV8my3pgxqSG RdZOSPpkPzXwt03beju8Unq3ajImv5M639efUXeEw5aYT/Yjpx87v1nio+43 qte/VOb18SRFe76D9x3X4URso85/zLNHmniUuHNf5nPG99EZv5ptHp+hLF1a /YhbxAuZ37et67jJNj1Zadg6rVqt94GKQ7ECx+BrMcr4BdsPue6PVQKDnBd6 Z/yxXji8c3HE7EzFfXTdhyUCnuumXlvQs8/aLKVojuX201P1SqlYu3mRDc/p 3g/p6rV8t15pntnymVufY7olpRYEm4XolSzvtI7VamxT/KZUTCv/Sq9cyV7m f7bDgb98PuVapZwfl/nrFZuqt2JjJ19Rzq03S0i5pVfylh0s1v7g9ULPr/RZ vWKny2y9cqHZfKvxU1X5nz3PQn8dvsq1aVjRQOVlUtWgGnPV/UJh512CDiae jfZMVPqOzE8dMEKV/9nzLztu76s4ZmaC7C9qlGlmOmxsnPLFSzu3ZbUKPx/D +BxhUTcza1KssnFk3yvRWbGy/+iTMePUrfnRym99r6Reuajq/9nzNBUz3uw7 6hKuaOu7OV/TsK2T65u2zyW+/f8+b7MsfvPNgbUeyHp6ctEmTTt/uKkLaTHc rVvVTKVySfPaXev46267hzqM+5ip/BTdq3HAfS9ZbxN/V7SOfTTRNkupbb8u oEOPANkfMb5Lxb1/9nv3bOXZLSfz5zf0st5gv0R+Wnu+Ryl43z80Up2fted9 0k1u7y+zV52vP/f8D+sd4xJXd3ZooJ4X+K/OAzFf73MpO2fz3P/G+aCKl0t1 znsl8zX7n5PZGfpdjdTzAXLeudzDu/EFwTJfM9+Xz0s/mGL16fmifU9mv07o 6C/zNfO9WU6VGfr85L98/oj9xLzTLZvZxqr7qW1F3L1rBWYp78ZOTNiUEq+c 9z1VpsiaKOXNtFeOMzbFK3lrZx48lhSlXJpYy3/whTDl46F6J4vEvVYW7asQ 9UVsoNK0X/iMsr8kF3qeaa5xXqvZc9Kkfwzd+7x+n5Iqf9fyeMfIKL1yukq5 9IjGZ5T1NUNMwh6lKAe7n10XkeOnVGr1psq3G/94L7t3h53p6q+c6ljeyf2H 14p96Pp1nndeKtbLShRJtX+ljO09v5vXigSlflDPJ8vDXihLzx/+9kBHdTxz fmriLOVsqJuf8m2d5h2r+qcozhYPQywbHdY9Pept5j0wQwksbml/0CVUF/Jb 8ZLx5bOVJ+dLOkeHhOhaOTves87PUlxmHb+44lqo7Ae/OD3bd+b7FPFnrMXA nbfC1f3gXz0/pVtgMu3jU3W/Wdh5KqPQ6PjqzZIl/1Nlp2fnwXFJSsPEDrtr +bxQzr5r+dbBOUnxeXBvesS9YKX3/jPlnlWKlvVdEY8WQXWLRSsW9aevXFU9 /rPPZ7H+1MprHura5UVChhJWvNvzlmv0sn9xKmFxbMgovTJm64wmIypc0Hk+ vbpk8Dm9Uv32mNeLJu2RfB3rG+15wi9sMnbWuHxa3r/poJCfj1U99kk84jwd 9nG/Xw59mdZs6jX1+sM1nCZ7eQvnbzbe7bbxvvCKza6DisfdVf7s+SvGN8/3 7vf1yTlVnsj92lqfyip3/anwlVV1j93IfSa8dFXY8lmmKhNfuF+dCYeaN2of LPJhE+Jt5pULEc7pcqagydcRwl5dpoVHDAoXJr5JvVD9Vuu220WKvM/WDi9m m0QJ73bab2bdJEZ4cYFj7a9vRgsTb7nfw7So2UaPY0X+2r7oym/axglbjJkc WrRrgnCtV93vhwfHCxPvud8UvxN1L8e+Fvnq/r7mr/onCgd1ar7m6shk4cvX y85zTk8SJr/A/Wx67OvoXDpD5D9+cebOUUuVS318NWt790y1f3R6kuBUQWV3 p46VOvnqJR/B+nLXoY4ZnbM8lVzlx4pfndQrX1+3md8s4abkI3i+Wxsj55nV suR+HjkVjZf3VXmEvus9+0HZwr3NWnUebawy+Qrul9FgYmJv0xyRG8XNm2M7 TOUT4cfq9LXNFd5lvGN7229UJr/B/SyrPLBs2CxP5AOehdy3GK9ynm+ZuV/b vRFOKJOfVKm1yuRDuN/momauBe3einy/TyeTKvYq9/Syf2g07506PvJ/sEq1 VJn8CfeLyNySEtY9X+R6T7d5aQtVdvktsF6E03vhVUm3djzoqzL5Fu5nFp3d 5dKgDyLvdLD4o4erVY7b1dbh8oaPws9Dvk49PExl8jPcz9F/+K5ttr+L/Jet dqZHt6ncat2ex847C4QbPljfzWm8yp97fnNFxcaLi9noJf9j2r7/EevVeuWr h93Hu7y9rQypeedESVO90tI4O+ROUV/lVA/PgNiv9cp6fb/qX/k8/H9+/nPU h7KJ3hNSlJ4FB0aNKRqg9GvhO+Krq8lK2WrWk974P1OOr3+yPsc+WbljEuic Hvf8s8+Lnqx4NmH8skTJXyV5eZSpmP1acam4zniATYRiOu2Gzf4vE5U2PT1e W1X51ztfau5/us6UrbGKnZOr5cOXMZJfnWv6Kj93bowyZfbmG4nR0coPV06O Km8b97/uPKr2PHth51N7fbmq/ahzk3Qe1caOcP8iQ0nrefNu2sHbot97W+ub X4300R3K73ni2LeZSkKdc7cXuF7T9d117nuv6AzJD8r8Uz/I1C5d/X8818ri +0cr1f+D/+r5110hzs2zvt8r+TbWd+vmJM3yNVH/71xl17REmSmZiv/Ifmub rfWR/OLAJQMbXhiYpNSffaVHonOIMr96eJvKf7RjfuW1/m4zIpVmnk6/HGkc r3y3rdyDa4OjlTFenepddo1QjN+VmXqozR/z4t6dxjVinit1a1exexmbpLQq eS8jaPFDJXNfb1PL2XrF5GQ/t/VbH+nurn9QbfblTMVtT4kb1Tec0xV1DFtW Y3eGMsh6uNWDFsE6x+0Dutk9ylLSdntVCpsXqHte6/jwfV2zlC4+8bcd6kUp 6Wef13nrF6/0rflTGatHIcq8th9djLYlKm9D3I0HvPRXTvT8YGHWXP3/h3wd +SKY/BJM/glm/w+Tz4LJd2jzgdr6V5jnwTwP5nkwz4N5Hkw+kP0u+UCYfCBM PhAmHwiTD4TJB8LkA2HygTD2sL/GHhh7YOyBsQfGHhh7YOyBsQfGHsYb9sDY A2MPjD0w9sDYA2MPjD3a+hjyC9gHYx+MfTD2wdgHYx+MfTD2wdgHYx/5DuyD sQ/GPhj7YOyDsQ/GPhj7YOyDsY94iX0w9sHYB2MfjH0w9sHYB2MfjH3a+h7y P9gLYy+MvTD2wtgLYy+MvTD2wtgLY6+2foh8FPbD2A9jP4z9MPbD2A9jP4z9 MPbD2A9jP4z95MuwH8Z+GPth7IexH8Z+GPth7IexH8Z+GPu19VPk7/AHxh8Y f2D8gfEHxh8Yf2D8gfEHxh8Yf2D80dZ3kV/EPxj/YPyD8Q/GPxj/YPyD8Q/G Pxj/YPyD8Q/GP+33ILX/L2nrw/h/iethrofJd3O+A30YfRh9GH3Og6APow+j D6PP+R30YfRh9GHyZeTXyM+TLyPfASOX/JUhH4GcfAJMPgBmPw+zH4fZT8Ps h2HaU2sP+1VYW9/Gfg5mv0b/hck/aevT2B8xHmCp7zPsh6Sey8Dk78jXcj3M /eX7oIbnw9gL4x9M+0g+2NAeMO0B0x4w7QHTHjDtAdMeMO2hra/j/yDywZyP oL9qvwfA+hvWro+17a1dL0v+3BBPYOIJTDyBiScw8QQmnmifz/oUZn1Ie7Ge oH2ZL2h/4i39g/hE/+F90t9g4i9M/4WJvzDvD+Z9wbwvmPcF875g3hfM+4J5 X9rv2fL/IfUufN+TehbqP6hXod6D87va+jm+d0p9EfUz1JtQH0N9ifb7muyX qUfi/xnak+fB5Kd4vzD1UHwvlfFLvob2gql/035flPECMx/Rn4jPPB/mffC9 ApjvFfD/BdfD8r0CQ/+T7xUYGDn9FTmMnP4t30MwMHLeB3JYW38G870C3j/n s2G+XwBzPhvmewYw57Nhvm8Acz4b5nsHMOezYb5/AHM+W/5vM3wPAeZ8Nsz3 EWDOZ2v7N9//pf+xv5PvOxjqWWHmO8YD39/lfbPeJh9I/SvMfEf/5Hu45D8Y z9RjUR9GvR7jifEu5+cM4436WPm/0lBfS39nPkBfztMZrmd8wsd0vsVHX8wW fc7ToS/n6wzXGzlsbOgyXOXRZgO6+73LEX3O16Ev5+34PnFMhYkl9qlccXfA SsVSPW/Heor2oD/DzA+0D/MD9XO8P+4n54kNLOeJDSznickPGtaD9BfWO8QL mHhFPSbjj/ZnPoGJ19Q7s56kfamv07Yv9YGsB2hP1qcw9XvaemnqS+mf9Efe F8/j/rwf6knpXzD3xx/6P+MDlvhvyFdgj/Z9sf+mPXk/rMcYj8y/sHw/xDB+ YeYz9FnPwvQf4iPXa7/n8E994/9sfeP/dD1jYd/j+Kv1joXVK2rrEQurJ9TW CxZW7/e59Xzaejxt/d2/2/dJCqv3+6vfKymsPrCw75lo6wf/7u+bEC+Zn7X1 QoXVK2rrE7X1iNr6wk/qBwupDyysHrCw+r//a99f0dYjautR/6vvO2jPg1G/ +LnfZ/mr9Y6F1Zv9q9Q78v2Lv7ueUVuP+HfXG/5f/96Nth7yc79/87n1k393 veM/9Yv/1C/+U7/4T/3in61f/Kv1iJ9bL/i59X+fW2/H/lDmI815HO15g3/3 73dp6/P+t3+f63PrCf/5fte/9ve7CqvH1NaT/t31mYXVY2rPK2m/f1dYvaZ8 D/TUaK9VuXN1n1u/+R9WDCtV "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvdv1lUUh8/bKbS0BSpFWmhLKUXbWhGtrOJCxVmkImpRkCEKSEGoE1T8 wb333v4DGrcx7hlHHIkjGo1Go9FoNBq3fj45T2N/ePK999xzz733rPdtXjGw aENRRHwuisXBYqbYVRwqZokuUSfGiLHiCDFbTBflooi9C0WvKBHniU1iiigT BfRGilJkR4k+sQO2R4kqzvC3WiwV/aJGjBOj0fX6COxVYK+ce0znDsvFMlEr 6tnvd0wSO4kJsCNrjcytO1lMRLeFr9dXiZVivFgv1okmMVU0s6+Nr/ftIlpZ b+fr9WPEElEptojNYpqYK2agu1EM4MM5YnfsdYs9RYfYjVgViFsXfi7CH2XE ZMg3pfhsBGsVw+ZVxKDAWinxqWD/SGJShV/riNUoYjJ6WPzG4NcJ+LofeTVr dfh8CbIK9o9j38lijWhAVo+tIT/aD7OIdTG6jegNxWwy8WlhbSKyZmw1xv+5 MIn1Zs5oHRbLqcSnnXkBn9vHKzmzjnkX92nljjsTwzbucZhYQNw2EWPH9yAx T/Rwzgz2dxDrdnzlvHEtHCDmi87IvNiDs3yvmdzFNuZgpwt/FWNvLjZ7ONd2 XNN7R9bOdrEP5+8n9kVnHvNOZPszno+tTvZ1s7eHtb2I1Wzs+y6HIzsysneU 4JcFvMPzXu7sNx3COyrxhXPGPeRoZGdgqwR7iyJ7Sx96lcPmzudq7NRgqw+d M8VidP2WA3nPYuxY7rxaT+yOJS7ee0pk7jZgt59znCerkI9F7r50fGSPs+7Z zGuwdxxjr5+AvlmGjTrG7kUnRvY7r5/DvJZzljL2+gr067lTAzaWIx+PvI57 D/XXs3hnJe84ib2uIddek9gqVmNjDX6wfBt+aUC2FnkDevXM12GvhbF9eyp+ buK7AbkZQHc1d/K5bcin8d3I+Fxs2Y7rwTXjenF+LSSm1j0NfRf5w5H5e7X4 mhhcKj6NzK1rxbf49ErxJTG7VfyKrdvF7+J08bq4P7IWXhV3RdboK+JO7nSj +BEf3Sueiqyzm8XPvP8D8WFk/RQKadc2fxI38c5fxC2RPeYHcQMx+E3cJga5 y7/sfUQ8HVnPf4vXIvvEPeKfyPy/XnwfGXuv343O5ZH/H1yHF4vHI/uI/bKV uHjPNmK+lng4Fn+KByP7lO9yH/d5gLd5/Kh4LLL3/CEujOx3z3G/bvzi/xxT 8Pv5xNExcz3UEhvXWA33c78oQXcQ/b/EQ5H9cQtx60BWWkj5IGvW38y4g/e7 Tlwjzg/3EedVO3od2NvO2Pn1fGSOuR/1ol+ucy7S9wLxrHgmst+/Id6M7I8v i5cifzdeEC9G9qlvxDWR9f+EuCOyhz0ZmU/OpbJCnmH7X4grImv7ffFe5P++ t8Vbkf8HvxPXRdbZx+KjyP+An4nLIvviV+KqyP71ibgkshcP+ch1+Y54N7KP O+bFhYx7USFrwPlfUsjacF38BwFZyUo= "]], Polygon[CompressedData[" 1:eJwt1GdvjmEYxvGzVb6HD6BSVKldtVqEBkGQapCSKhXUaGmN2HtviVCbJmLv +cbee+89a4v/mfN48Uuf9H5y3dd1nMf11MwbklOYaGbZSMIWvEJfjMVWvEV/ lGAbPmAgSlGJ/WiOclzBJdRGFjbjOXpjDNbiDxojFRcwEQ3QDhW4h84oxiY8 QQ+Mxk78wAiUYSMeoitGYRruopPWuIpJaKgz3sZkpKMjduAbijAe2/EZgzEO R3EEmWiFFfiO4drDP/zVWerjqc7sZ+2JW7iBFHRAtQSzRNThcyPt7aae+R6r 8ywJdZXRMnzFUO1xEd4jXzOYgQfoogw8y8vK3jO9r4w8mxwswScU6IwL8Ab9 NON5eIlciw5MwQblNQGz8BjdNZM5eIZemrGf9Y6yTdHaCzFA73ikmfosu2EV TqK1RYdW4xfqWWTkWa/ESGX+06Jz5frfWVy06E4yTuG4ZuFrrsFvZe2ZvrDo uHe7D9bByLsJf9LwzqLjpdrzF4uOeDcKLbqwXt/1TuzCAbRABj5adMi7Mwiv Le6Q3508VFl0uAzDLO7KNYtu+p05jEOohZY4iN367O/w7tZIiFmkK/u5OovP wLuyXGt7Z/wuTLeYvd8Jn/1SnaVAs5xt0VWfqXdppmbjnbqOc2iL9hbdmK+z 5OI09qAp2lh0ZSqaaX8ncEbPPOPzmlmy1tyrDDO0hnd7sbLLVxbHLO6eZ7LP 4jeiWO/4D2C9odI= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGm4llUVhs+7bXAskoNMYWCaihAeFFCLcCYGmQ4IyIwgCCIqMgiCAxqR MopgRJIoIKYNWlkpDk2Wmc3ziCiGkKaEpF0N627d33X48Vzr3fOz9l7r2fv7 OkycOeTKUldXt72qqzsk7Kawfw+0DuwI/CWwMrAz8EJgdeBLgcMCRwUeDhwe eE/gX4HPB44N3BBoFmgfeCnwYmBN4G+BvYENgTMDJwVODrwWeDVwd+DlwK7A 2sCewCuB9YHdgb8G7go8FHgwcETgdTl/LrAv8EaVfsDn7cADgQOBNwNbAm8F /hm4P9Agxw6BmwIfCHQJdLXuuMDpgQ8Gjg+cEThR3vsD/wjcF+geOCHwoUA3 +1LuYR1jTnM+5jpLvzsGTnVdeHzEulMCQwLnBM4NfCzQOfBhyw1y7BnoZNs5 zkXbzfrRK3C237Sd5zi49NEfzuEC/YT7+bZTvtA6/Pu4/jCmt3WU+zoHPvXX h4/Kq6ffi+UyMDBUHqwzwD7416hvtA06iPsw+8LxYi28Rrl2v8BFrsNcw22H 4wgt3Edq8fsSbV/HnSLffvqBD6Mt49NY14DvZH2A12VaeE2Q9+DARC1nOF6/ aZukn4yf4jj4TpcTPi0MXBGYoR0ll6n2xadp+sOYy62jfKlrNjqecWMCV2rx 4xq5wvGqwDg5Xq2lbbZc8XWWfZl7jnX4PU8f4HW9PsD3VuecGZgvP/heZ1/K C6xjzFznY65b3Ktx8u3vvi/SH/wgf4hNYhRdWWsdmoE2kHs3VqlB5BX6RW6h R2gGWoVmoWdoEjmJrqAx5Cxagn6Qn2jdkYFDq9QVcp38RJPQMHIb3UJ70AS0 DQ0j39FO9BIdQSfQHuIMHUJ7OtlGPjbIlRztIt8Gy/jTTZ+P0++ucu1uG+uR lz1cg5gmhtE59K+z/hDbNd090zEd7XuW/vRwXrQdjUfrr/X8JzkX+dpTfujO 2fI91zL8zrN8u+c6Tu7n24Y/F1hmrgGeNf5caBtcyNne8iVf+8ivt/3g3a9q ymXmqOlQf9vgRF4Mrpryc4L8Gm2D01DLcBpmuaY7w1xvuOWavgyvmvRlRNWk LyPlNMoyPEZbhtcYy/Ada5nYH+9eDZLjeM+pj+vcVqWe0reX/QZ6BoMtw4M8 m+q5cX6z5DTNNniQrzXtmW4bY8jVefpGeUrVpCMzqibtm6wPNa2CN5oy0z2a Yj/8QHfQGGJotpwYP8cy8U/OtpfffHkwfq794IjWLPBsJjvfNOvmu+Y8x8Bp oWPguMhyo+PYm09VeV+yl8ur1A64LK3yTUA+rggskd8Qx9U0nn0nvnjbfDbQ ssp3y2cCxzj3UudhjmVVahFzf9K10Mzb3b/FcoLPLZ73QPsut/8dVWrL+wKr qtS4ZnJfcdA+Uo/G7LAf/b/qdzPbmAdd+Zrz0men30fbhk6isY8G7rT+Jb+b B9ZVqcPN7cf38bavsf/X7UefT1ep1fWBb1iudwz1aNtu61tU+SZcZx/2db31 J/iNbn3CfZyp/0v0kTPZ4Fk8Zplv3pwbA60cTx909HHrW2rv9vtEv9HOe6rU fMY+Ebi3yjfzdtta2Y8+6O7r1re2zP3S0XGbrN9nuU1gc5V3TRv78Y2u77et bWBrlXdKW9v45k55yjbqD/j9/sCTjmXObVXeQdQ/bZlv3u/cF+2qfCdv85vY Jc57uQZjOwv68y79pmfDuXzLuRjLPfJIlXcJ73XuYO5fYuPZKuOBb+KJWPl+ 4AdVxgxn/pzn/ohzcX8Ts9yvxOpKv4nlPwT+qC9/CvxZDtsst7PvDsfC5SvO +d0qc4OYeabKfKDPD6uMXXj+qMp4hc+P9Rl/+T3yxcB7q7wveTfwZviCbTW/ H7IP/j2qj6vks9J9edg5vuw8R2kpH+keveBY8uxFua22nnwl1n5VZVxhf+03 8fWbKmPgF4FfVhmrz+on8wyMH4T9Sq43IexhJfPmmLD8WLzZOX7rPK2i7uqS uoUmcs+g9W2i7tqSGrbM/WVvN7o265KLP6syv9CbnQf5sVMf1+gjurLVM+Z8 fxf4fZVxvtky38TgT6rMcfTjec+IdX7uWs95lvX2/an9n/dcW3ie3/G8OKPv GQ/EFPFNLPGu2++6vCF3O3a9Zb6J4Zc9q7usR7fQEt6OJ8lzt+3U75Un+8O9 ssE5eXfWtOoVOe+1T0t933NQ3z322SLXtq75mvu/0W/WRKt4+56sRbNaW/+q /e+xnjp0izdxTZ/eMB526W+9dfusv9fvTfaHD7rVLmLkupL6vUF/0Fo05k3P mlh70nmIBbSCWCVm0AvihFh4Sh+J9yfkz5k/7v4Q79v1hfN8xjNdK2/uH3Tr 21X+j0FcPOYeoitPy2ez536f/fmvAR1cG350KHn3bJF/J891l3uyLtpPLXmf M4Y3ejvtW37fb7mzcxxw3bddC24l5uhbMk4fsA0d3mp/1t/mnP/X+ug7t+Qd eUnYi0tq37Fh55eM9VVhV5fMsRVhV5bMqzvCrimpoQvCXl9y/7qF7V4yv/8b GFkyXxaGXVTybG4Ie2NJjfl3YEBJTYNLW/mgKy3UFrSkpXryn0BjSX2eHrZ5 yXfT5WGnlTwnNKa1OnMnf2aVfAfh3wh9vIm5S+b9srDLS2rY0LCDSt4ts8Oe VvK9Rd0Q668J27Xkm+yKsF08u3lhTy/5bpsZtqHkO28xXEpqyeCSPuMvmnqR unob40pq81LmLqmJ/cMOK6nzS1inpG71CVuVvE/OKLnX7POt5E1JDRtecr/Y q9rved7io6P+HSXvM7ivk//RJfeLvbqMPS6ZP+zBLPeBvXvQtfB1jv6yH1e5 J+PCvrvkvTg+7KEl78WxYd9V8u6czJmXzOFRYQ8peddODduspJ5OIXZK5hh7 OcP9bF8yr8ipMWHfWfLuvDTsESXzeWLYw0vmeX3JWCFOJrGXJbXgfw+VUCQ= "]], Polygon[CompressedData[" 1:eJwllFWLVmEURr932zl2o47deGN3BwbOCHa3qCOKYnfrOI6jiIiIiIiIitjd 3d36R7xwPTwXC9YX5z1n7/3skz09L2dRZDKZXCgOlfgwCM6kTOYBDMYDzuNn YTleB7bge6A2vgx2J39XEu8Bh/BrMBwfBuXxC1ARHwCn8HtQFu8Dx/BbUAHv Dyfxu1AO7wvH8duQhQ+E0/h9KI/3gxP4HRiLj4GK+CUYgY8M37sCtMZnhc/+ Dq3wmeFrv0IzfCrcwN9CG3x2+Fl/QlV8AezAN0JXfDU8wQuhI94AHuP50Baf E37W39AOnxvu7V9oik+B6/hryOBdoADfAM3xaXATfw8t8OnhXn1MntU8eJg8 s1x8NFxM7sFSvBZsTp5RTXwJ7Er+LgcfFe6NrmmPd4K9yTXWxVeEZ70VsvEO 4dq2Q3U8D3bim6AlPiM8q8/QBJ8czsLL5NkWwI/kGS/Eq4V7qTM0693wJXnm u8Jn6qxPyVnZGXZlZke4J+rFB1iHN4bn+DNlNDxjzVZnjsPHh7ORBSvxeuHa tiXXXiXce/WgN749fPZR6KX/wjv8iP4TzpSy9C05i/lhVyZ7qvfwBj+sHQln TNnSd5vCGdDsX+kZwjPXrHUP7dLG8G/aqQ3hnqqXL2BfOKPKpnq6P5w5Ze0X /IMhfD6nXYL5eGWon5wZZa1heJbKXCN8IlzBn0IJvDscxK9C6XAPVLt2pDje DYqSrykT7pl6pcxqFpPC12omxcI7o125DKXCPVJvtAMp/M7Ru0bPrF0vgj/J O693R2G4Nr1DtGsTwmdp5xbjNcJZVMZX4Z3Ds36UXMv6cO9U04HwTmoXdY81 4R6odu20alsbzpJqHKrehc/SO/E/Ze6gOw== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHnc12MWffvda4xkGVLWCNGkkKVpGTPGMmQZJIzsZUq02V5CkRYps1ta tFnSVNp7W9+0iUiljXalMpElRWFkzvmc8/u8/rjvud/lud/nee495z7vr2bL js06FEpKSnZVKikJ4Av4c3uWlLyCm73gPwXbDP8LWD/YMFhT3OsPfAl2FfwB wJdh18AfWNDYa+G/CHwVdh38QcDhsEvh7wF+C9sJGwkbD7sJ94cC/wP7LfzD YF/C/x2wKuwr+DcABwNfg10AvxpsF/yLgNVhu+H/EXgk7Bv4NwKHAEfAzod/ BOxr+BP83VGw2bCpsGmwSbDRsNdhk41jYGXGsbArEONy2Dj4ez334vjxjj3d OBE2HzYTVu7rUf5Gub/B2Lci3i2wKfC/c7w3YDM8hvOa428w9lwjn88zzrRN clzmgjlhbv4H+wE2C7bAsbnut4yM/baRsRcaGfsdI9exD/Ym7F3YIvuM956R 8T6ELYMthy32PcZuifncEYp3GvDY0JyWOxZjLPG7/P4K32MMFub7wFWwDwry +Y2Vfs5x33tdnNNqx2WM2hhbBbYd/jqP5xyfxL3S0Lu/AK4BboBtLMhfC+uB +51D4/YPPd9UEC8eC72bwAjNZe3P5tgX9/rAGsK6wdrCGsN24NknsP/CTsX1 AaGYhwAP9nPyizwj38gv8ox8exp+b1gD2E/OA/eCXCPnyL3OnhfnwvonV8gZ 8os8IB8OM5/IgarmBOvyCPOJ9VnNfCIHqptP5ECxvqe5Nmf4eqSfjXesib4e 7ZrkNXlJ3o8tVPCKtUo+lfn+eMcmB87B/TOsF0VOTrLN9Ld/dI2yPsmhcsfl +NmuCcab4+sif+YUKvgz1/Hm+/oH++WuxyWus8m+N7NQwZm3ChWcebtQwZmF /vYC1yRtkXNW5Mwij1/s6yIn+ZyaSe2khlL3qJ2DPIa1vcxjVhQquLbS15Vc j0tcH6zHVR7zoa85ZrWvwzzgWNYW6/PjgmqN9ctaLTUP+H73EH/2M29Ybxv8 DdYd7/UM8eeX5somv8N+Qv5UDs1jncdQG5Z43/qYK+Ts0SGdZT6rmB+cD7ny OfAz2K9C/YmcOdx9Y6SNdc56PCrUb4r1yZof7Xws8z5x3Tsck/XJmh9rY92O M+6xz/HkC2vzmJB2M+fHhfSIOZ/leir3e7sde1mhQkephT+65gqhfeQenhjS Pl4/EMor9+jKUB/iHE4OjVnj/DOXzGNd4EnWpjNDOsXn9UNaw3We5Bwy96eE NI55oh6e7JhdgAf6fq3QM+Zxu/PBXDwOPMj52uHccA/rAX9t/X3ItcB8M1eH hvSN6zvB+s5cUY+K+aEeFfeYelTcP+pRMT/UFOZnr3PM/H7numHNsBaod6yF na4P+vucJ+aIe1/DvYm6enwoN987r8wp976m95D7faLzEt7n1c4zc8k8Xu4c sac/4nonT04H1rHWV/H+FPesjmua+Tnd77B3s18yNntZPY8b529w7cxtXeea az3P+s6c1HZeWLNneBy/Wd/fvQt4LmxbQf3lN7AtBSG1gDpQ0zXEtd/vOdS2 TjRwDbB2ark2Glk3GKfM8+Q+sCfy2VbXDDn+Kfy/+P4W5//3ofyzbzbx3FiD p7oOW/s+47AvNnUtNXHMra6dP4RqhzVySYi7l4XeZ0/lvBt6f1hfF4bqi8/5 3jDX2sWhWmOvPsVz6AS8199qF+Ik9/Zh1/p6+FeH+jfPYezNPJPxPEbjfc6d +s7+XXzezO+3CPVv9mze4zP2eJ6R2cuHOMbVXkvzUJzieft6+38O9Q+eAxiv hX2+29wxh/gZzwmDPL7YdzievYfxrrPPPW7r3LUKne3IHeaYPbjMyHPtLM/3 Zq+F/Lg9xLn2wNtcG9QAco86cJvH8n7HUH2wNsodlzH5PfaMheZuK8+BOWnt vPCb/Db/p6B+8v2l8NuE6n6bY7T0fdZPG98f7PVzP8jjP3k+d3vt28ynds47 n7f3O+ROB8+Z2NE+a7yT50bO3fezOXB+1Hae36gX1IpH7X9UkL6wB7P/sr5K XWOlrjfq6oOOs9TvsBaLmsu4a61FnR2T73JMJX+H36vsed3tuXF8D8dgH+/i +id2DfGSPp9tNq+fCGkP8XHXCffsHvuNfZ+86+rxHLvR39jg97t5DuxRPG+s 9jp6eP7Envab+H3Gpn5T36nhXE8v72ep46z3d3r5u7zX3fepZzz3UBtuwf/B t6X4Nx24I1RrD8K/N8WlR4ClqVrrBGyX4syjwCmhvtQafssU3+4Btknx6UXm IlWfs4H7Qto8E/6XId29IzUPzuEc4MRQH3sS/vRQr3sB/sJQX+oJf2aod/WG PyvUQ/rCn+19OQ5+jRQHTwDWTO1xZeAbfn8Z46XyPwD4bqjPDIK/OHQOGAp/ aUj734KVpGrpNOD4UO+dC/+nUG87Ff7rof4/JzQnzued0Bo4/3KvgfNfAP/Z 1BlhRmjNXO98+P9M6cXfgP9IcbgqcCzsbPgfcy9TZ8MxwFNSNfl3zi3FEa6V e8T1LvI6ucaRwDXmwPteJ9fIuPyfhL30cNzbDP8s2MvwVwLvhC3xHnF/hjHH qfPBe6G95j6/CvwgpFNc35uhNY6GXyvFqbdhA1N99xXgqpAOct3zQmu/mbWW 6gHNiam+dS5wa+iss9Hr59onsH5SmlQb+EzoHDYJ/uSUNs0DfhQ6gxwIf0ho r4J7H+JTwj8m1Q8rAYe6Vv8F/3Pz73j4g82XdV4b1zUc+FpKZ/txTak+9Sxr KtVzn4N/baqvPQ//plRPfAz4SeicNwDWMdXLegE/DZ3VnoH/Wehsx/r9NlTD A2EPpHpQd+D20BmxP/Oc6mtDzT2u5SB+M6QtVTgX6wP1hf+fUMOJfe2vBY5K aVwj3+fZgnW3PrT/DT12u3sEz1vUm/3xzpZQrZbBbkj1k3Gce6rP9Pb77COs kdWh/TwWfvVUP1kRyhNz9Bzwi1BfPZT7FNLeQ7jfId37xuvkGocBd4fOcAfD 3xM663wdWj/XPoJcCZ3DyOnDUrzeG4rLmP2AX4XOx4Ph7wz9LzEN/tTU+ZE1 8tdUnZAz3AueMx9K5Yk5agK/cep3O+rrw9bYhsBGqTPi+cTUb4GXAZumfv+b FNJK6uQFwAtTZ7vHgdNC54ujqRUhTnOf/p3aK677pdTanwCOS503uDdDUvvD 9T2fWiPX1z+1Rup625S2Tw31AOr/xcCLUr9TXgK8NHWmvIp5Tv0meiawfurs XpbKGfNFbd4V0g1qap2UrtYD1k39VjohpLm8fzbwrNTvptWAR7k22K/uT/Ws K4BXps7E96W4RB49Db9P6nx2JHB5iON3pbhKnlI7qQvUhPYp/pA77HsdUr2P /HsqxcHzOJfUWZyadHpKl8jjBiku35jiPPlOPWthTWOt7Zeqt2tSGkF9GBHq K6y9TSHNol61Sv1+zTMt++2dqZ5LHWL/rmGOTjFPmdsDnN+uwG6pc2dD841c Gx7qzezLt6b0iFpErW2W0tsxod7GvkZd6ZLSluuBk0P/G1CfeqQ06v8KRz1P "]], Polygon[CompressedData[" 1:eJwtlnmwl1MYx3/9zqPIWG6iVbSQUrdu2dKq3ZLlIutUWmi7N4qRnbnlDqNF DcNYmu6tW9aMUEkRyU72NSJjjEFIqSg+X9/zx+c+3+e853fec86zvLf16Cnl lcVCoTAHAkbx5zIoT4XCIh6Uo8+BhejTGBuHvhzOQy8u+kf1oDV+PeiGno1t DH1gGv5UWMLci/EfhYXQFjrBI/AQtIRjYSxzx4TfrXcsQ2/BlkB3mIJ/JVyY vGYn9Cx0I+gF8+AMxoZgm8Lf2qf2jL1K89Al8Au/7Yj/BHoVTEMfA1/Dt3AQ lMEPMJznw7CToQbW4E/HbmKNWeh16L3oI7CV+BVQV/QeR6JHQG3Rd7pHd4A/ ETsVHoelyXsphWE8Ox12FH2G3YoD/jidHc5HP4c9U+eEx6AOOkBnWJvvVHf5 D2tMZP4kGJ68p0XYWvyx2C34m/MeSvOZf4RbeD4SWwEr4Eb8ZtidzB+Ivhvd BAbCF3ofYxOSz7QfumH43WuhPrpBOH7KoU+x7fB7JsfkavQ14dxYyvPPsIfh H48dDyej52APhX6y+E9hu8BxcB3+9XCp9sHvV4bvRHehmJ6rXA3nbg3PL9Fc ODs5JntzzMvyHU7g2fhwbuvOFsOL+Ddjv2PsQ+yB+EfrrPBWzmnlckBfns3V GaA/TMe/Nnw27XErvA5dk2umVjHj+Q3Yzcw5NZzDyt3BynFYx9it2J9UQ+iL wmfRGW7Ts/Bdj1A+K4/xD8b+ytjH2Db4JybH/F14GL8dtj7sG87xyflONypO jB2FbQAXhHOiIufcCuVfeC+Tcuy/TNYTcmzr4IrkGH+uuOK3x+4P86FxuJb/ Yo3l4RxXblfCg/jvYPdJ7hHP5pxXrqsG26KfUQ9A99CewmtqraH6HX6EY9M+ n/3p8Nq6g+ehCr85dhe/WRLOOeWa9rwpuSeoFxyg94d7iHqH3rkBf2fOhWrs KzAvXPv/MjZX+Qob0aNz7L7JaymG6h0f6N6Te4hi/xG2YXIOKNe+ynelnHsV 7mHsSGxBPnp7zpWZ2J/hZRgDreANuI85bbDF5N56B/6o5B57J/pw2FP02Etw l8aSe9gL2NvxW2B34/dB94Jt6FMYW4/+I7n3VWGbhHuaeplqVrXaOzxXNdtD uaffML8v/iqdK5yr6jHb8ppVOeb3ojfks+oM6oVnhWOrnliG7gK/oXsn9/JD oFtyT78f/WY+u3K8lWITvhudWXvpGe4l2lNHdOfwt2Nr0Wt3D3+79I4a9Pu5 FlTzO3IMZuYY7so5UZ1juAD9Xq4t1dBg9Z5wLW9nvQ7oJ5NrUz1Rd9sv3Cv+ v2P0oHBv/RP/k5zzynV9A5Yl90D1PtVQNXpNjpViODT8Tr1rEP4D6LeTe5N6 jnpTf8YGJPco9fIh4bnq6QPCe9C7NUff8pPCsdM3fQGsVs9OzvHlirtigP29 6G9x13BsGuXcnB2uBeVoqeox37V+MwN/da5F5Vwz/Ka5fpVPJ6je89r6Bt2E vzL5W6Qano+/PteeaqQFfsv8/dAa30Pz3G9K8t5fS/5fRWf4D+u/DTA= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm8l9MWxg+dvd9KOo2KJgehiKSkQSNJlKSEDAnXeIXM8zVzr+Ga55l7 zWMurnkumUpzolEzaRINnm/r+X2cP9ZZ+93D2uvde63nWe/vVI4YOeiMzcvK yu7Un2rS7VNZWW9JL8nRks/Ky8q+kvxf7c+lv5Z8pvYNkmMlG/S8QrJScl4u KzuuKCu7Q/3vScaq71vJO2qPkf5G8h+1r5McI/lA8oX6xkvGqH2j5DjJl5J/ SY6X/KixSZLJ2NLzzZITJRMkt0j+hg3JPyUjJF9LbpKcIJkoOVlykmQ4z7Ix UzLL9qZIZltPlfxQHnPY7w3N/x++qP2R9DjpCZI5njtNMtd6uuSUFLZ/kmyV w9YCSUO160tO1fii8ngf9l/o/Xhe7D58Weo9sL3Mep7kZ+v5kno5bP8q2Ut2 d5a0SnEPC2x7nWS556z2Hku8fobke9ub7udV5eHfYt/lQj+v8Tr8Wm977LPW /uHXbx7n+cUU+/7hdbP9Phttl32215ytJI0k1VKsx946tf+QnCbZQlIm2cx6 ld9j8xQ+sSan2Id3/d3tJF0zxX6sK1KM43st28PG6ZJySYV9qek966awge16 1tjY0uvwt47XMq++x6tLGljX8Lthjz0bW2OjocdrWm/w2bAOHzc90y85gz77 2ETS3P7hVwvr+r5/xptKKu0H+2zrcZ63cx/vuoP9w69XJNtIdpTs5HYTxxP2 mvnMVjsWWrsPX/aUtPTaNt6v0uN17GtT+8/zrvabebvYBs+7eR0+tq/iS9sU sYK/u3uc55Het53k777L2pIOXrez72pLn3tn742PXazZs7f3Yx05Dg6BR53s H2v28d740tXreO7l92f9WZI9JN0l+9oeedlH0lGyt+RuyTme0zfFHvh1gDV+ 7ed1rNnf65jXz+Psf6A1ft0jOVfSQ3Kv5DxJT8ldklGSbn5uZ1972E+e75Oc 7/e4X3KBz+MhycX2/WHJJfalmjDnYOlDJY9KLrPvj0gu9Ts9Jrnc/m6m+WWS K9WuLj1berQkqV0uuUrt+ZJ5koF+19Y+98Mkh0gGpeAReAP+OFLtIR5/UHKR z+wByYU++0WShZLBkqG2gc/DvI4+eAdeGmteg9/guWVqL5UcnoKz4Do4j/to Zf/gBHhgnPF1nbEO/oGv4BK4C/6ZWoVjwHd4D86EY+A6+AoegtPgMbAY7oLf ppmjZpkj4Dp4bIb5Z47tTjeOz3XfUuMuHAQXzTTPLDQ3TKsyd4b5YJ73WOR5 s8wDi6rw0NIqPLTMey/xvEleX+LPH7wvvAdXLffeK8wfi43lq2xjTZVnMHuj 91hbhVt+87yXUnDM77a13newwti53jyz0c/YLXEINQv1xSTbAiNKY2A1mPyH eQVsX2SfSny40vvAUfANHIBfcAK28AMuyLZby3bxA6wvYTy68HuWeOAfkitS 5Dd2wcsK9z3mnGINeF4v/cU39T0XzG3qPNrf+VvisLp+N7C/xD8Nvb7C65rY 10aex5rmtsseYHYLzwNfd7INMLnSa7b3c4mfmnuPSq/H9g6e92oK7mnp/VvZ bjPnGc/beB/4AD5c774SpzbyHrt4DXvu6mf8AKd3835t/cxYJ58Te4OL4OGZ KXhlD+/X3mP4BCZ3sE8d/dzaNjp6z862i/T1HZT4prPXgFVg1NkpOKObz2a3 9Bd/trE9fAXjS5zT1bbwDxzv7r372C6+guUlvO/peR28Z2+fZQe/W4l7+trm SK8rcQzxBn6D2eD+1SkwG1wGR8FT8BgshxsGVRkDo8H1Q70WPB7q5yFed4Tk 3ynqZnBqqW0y7/oU3wcTjSdgJjl7a4o6fqYxh1yebJwES6cYb8HhqcZJcHia cQ9cnW7MBG9nGAPBVerhQd6fd6DvZPf/175Sw8Njc1Nw1tOS21LUH3Vy6Arf 61m+I8apZ8npJ1LUK9QqW2p+Lcl0tZ9MEX/cw7Mpvp9Y/4zkdt9NA82dbB+6 +H64v6ccT90cCxc7Hrj/8xwDxMX57vtRcmeK+oCxc+0n8XGB5xIvF7qPOL7E tomVS93HHhd5LuvPsQ/gJthRx/5d5nXE1BX2m+/Ka1JwLvd8ne+a+7nZd0Ru gg87Oq6IPe6HWLjB8TDcsTLR93yT75q4uNGxwT3f4rtewTrfJf7eZZ9Xsq7K Xd7m+yI2b3W88R3HOmJ1pO+lpe/pDt8dZ3m3z4Ozv8dnPMpnzl7EJvXBVMcs dQMxy/3c6zviHu7zXXCfD/q8uYeHfBcvpPiWPsZn/EiV+3nYd0Qt9qjvYZXk cUl/+/ukfcavp+zb1BSxTozVcO1G/hKzT/tscg4O/qU87D1nm8TCA1Vi537H D7H5rM+JGCemOT/w5Hnfa+E84L5r5+D3TTzsmOf55RT7wvv9/G6812spuKSl Y2d8ijvHb7CLPJ0leV1yUIp6jpqP2GNf1m7t8dGewzc/dR41HrXr635HfhN4 S/Kd+j9JMYf22ylsUi9Sp77jfT5MUWuOd9+7nkPdSV07xr6wnhqUceZR776f Ys63nvu++7H3ofvxj+8Wvlm+8Bi237Svpfd4w35+nGL+BK/72L6RT5+nv/Jm bIrY5Nw5f+o3YvarFHlGzI5LEcvk3Dcpcpc8+y4FdpIr5Bo5NMV2iJnJfibG bvf9tXTfVPdzD7N9d8QEsQHvgxOfpsAA3usTv8sMz+EeyV1yGcwFYxnjO3qO bfZ3vMz0fMa/95wfUuAj+braa5h/geyMKCJX8Gme4+s19R+eI/9elR6aI/9e lh6SI3dfkT4sR+4+Ld0/h33q80au0Z/l2yoHfrDPhTn2ekl6cI7cek56YA5c 4Wwb+jclbGzl34NelD40R/69Ln1kDsx9AX7OgSvPSx+SA2+ekR6QAwtn+Lw4 R+r2xq7d69lP7PN99IvkKOvlbsPdy9wmP351vIEZK30n4MoK+04+rfLZNvJe nMPPtnO4Bbvw8T4afyeHbX5fPD8Hhq1NsYa5w9V/bo6YqpkDvwZ4r+quY6q5 n7sbZvtHOc7BHbAFTuYciIdWsjk8RxzspPZRObCkndqn5Ni7ZRFnzTlfm4Lb yOWL1Ld3ERwzTO0di6jxm0lfngMfd1f7JLUXq/0E+xaBcY2kGxQRj/up/+wc 8byr+k7grNSuoXbNInKsQrpOEXFfS3qXHLmW1U5F/A76u98RXC3VK9Qh1NV1 c9TWjFf4HKjrtnBtx/ccMQYP1nD/AK+t5bOa7jZ5ypya5o/Gjh/iiO+mTfYd Yw0cw/hS1/6ANczd9G3nMWqqBv4ddbm/Kxs6ZiZ7jP7GnkN/Q713uxxnyG8C Sxwnv6U4b34fOFbjD+bgsG00/5IcnN1E7Utz8DFnuZfPs7r6z8pRE0yHm3Jg 0GzpM3PUIpOkx+fA1q01/+IcNcHu0h1zYM4Z0u2LyJPj1T66dFZFxA0x00z6 0xyY3wKdA6u3lZ6YA/eaS3+RgwuaEPs5Yu846dZF1Kknq922iPcfKt02Bw9X Sk/LkadD1N8mB88XavfKgdu1i4g/Yu8N6c454nuWdI8c9deJ0m00bwHnK71H Ds4fJ/15Dt46VXrPIjDjDvbJkSsHEBdF4O+3an+Zg9s+lH43By/2406LwOvP 1P4oB0/Odl6DIU2lP8jBrW9yxjnqywW+78G+/7WOAe57tfGHeKztmBxkjOA7 ZQtjBc/UKOTDIPeXO/7BpoW2udhxxl7kJ79tlbhivvsXeg7zm+qdLstR5823 r4OrzMOHNbaFnWM1/3SfG/sn+wCXUce84nzkt+PazukNVdp1nOO13E+ejlb7 iBy11FzvN9BjzOVbn/zKjv8K5/AmfDCmJOd+4dh+yfM31XApftNnPt+S/CZI fUWs8wwOn+Z52BvtfuaAfw2NgS3Azhx1MHHxvmODvLnOubO/9Chj0SPSD+Wo L6tpbXkRdclm0mVF/O+oZxG8CCc+miMfyIXHpUfmqK9/BD9y/L/rMeluOert LjnygVx4W7prjpqL+3nLd/SU9JM56tb9iuByeLx3ETwNR4Mlc4wnxEKPIuKh exE8DUd3LKJuGOWYmOcY2aC+jTnqXfikVxGccpXa/Yr4BuDM+hRxbgcUUYts +j23iBqF+uTAImoX6pYrpfsW8Y3RqYj6gNrgXul7cnD4XdJ35vj2uFX6lhzf te/lwCDwB7zs7ZhZI706x//lwL++jpO15FyO2nGp9JIc/8dbR4zl+F/fr9LL c/w/8Gfs5ag750nPz1GzLpJenKNmXSD9U47/JXbPcWfcVyfpEc6XldKrctSy g4rgdTh9B+lrc/zW1jMHxoFve0rv7Zg8UnPa5/juoe+QIvq3l74mx7dWZRF3 wPkTgw87Drct4nw52+ZqX5Hje2k7ta/O8f3WIYev+AlvdC6CO5i7bxHz4aVu RXATWPhJDjzE94FF+A/ujs2BvWNycAk8Ar5+nQNjuxRRd1JzHpiDG+CFr3Lw CpwCj32Xg8sm5OAhOAjem5qD+6bk4CT4CA68OwcPfi89M0e93icHx8AvB+Xg CTji4xzYDW4Po76SbK7ng4vAJnCJszmoiPPZp4g6mBoYru5aBF9z9gOKOP9z ctSC1IHwDLhJPvYvol6nVmefY3LsdX2Oe+VO/wREDfVX "]], Polygon[CompressedData[" 1:eJwtlnm0VlMYxr97fefdxkxrGTKGojQPhlJpEE23XIkMDbeRlpvVKPMszTQX CknGxWIZMsUqQ0pFWkkqRVHRTQMS+T3r+f74rfO8Z5+9z9l7v++zT5WyQaXl xblcbhbkdY1cbihMynK5F+F39B+wDN0bBqGnwvPoV+EJ9HCYjH4JxqBvTLlc xvUB4mpc98BX6LHQmLaLYSh6GpyAvo32KeiNsBb9PSxGr+KD9qP/gr7EK+Bb 9GpYhP6G9rPQP8CnxI9Aa8ZrBSP1bdAGfRncjn4S2qHbwp3o2XqevjNgPvo7 eA49F15Dvw4H0f9CP/TXcAV9L4c70E9BB3R7uAs9B0rQHeFu9NNwFXoU/Z9F 74Vz0X+H5zJO70SvCc9Fcz4P/V/4XeMho38N4gGaO3Qm7gT3oJ+BS2h7D95B v6s101jqn/caVePZqnAv+j6YQFsbuAU9V/NBH0v7OvTJMF97C2+g34TB6C60 H0APhB3EVWEM+ksopi2Sv60/bKDtbHgU/RmsQ28M6x6Q49nqxBO0f9ozdDfu FXG9n/if8Bpo7ithVziHlDvKQe1FUXJf7UkzdFMYjp4BQ2jvSnwQXQ7LlXuw kvX4hLglbS2Uc+hZsC+8J9qL5fA4ugMMRs+D3eg/w219YEo455RrqoEVGjs8 ttb8Isa+EIYQT82cuwfCc1EOrw+vidZCOfsYuj3cqtyDS9GbYBS6J2xFnwOj 0V+oj9YSPtS7eV9t9MTwXlZSPvDuJjAMPR1+ou2XcN9e2jP0UliYeU2WqC08 lu7VRM8L5/5+7v2K/i2812X6PsZuDiPQMzPnSjtYnzlnytDdaT+cawnx2+Ea UO6/BfXQN3OvQt4CDYgHEu/KfO8DdLk8B70AatA+VnuguaiGtRawD/2y6oX2 XuG2TVCbeADxDvS2zLmrOWkuyuEu6NOTvUGe0JX4zORalicod7SmWkvl0LXa 7+TaVk13U34n17Zq8DrtT3ItqsauRJfCj/IG1T/tpyXnmjzpauIzkr1IHnIN cZVkL5KHaO16F2pBa3g+cV/tIfEWjY8+JTnXtQcN9S1hr9SaHUNcKblW12au 7bbyyMw1Xj/sufLaDdCR+MRkrZy9AH10ct89cDy6TtgbtMcl6JOSc1seXkp8 anIuqKZaEh9KPBF9k+aATsl6NXSmvXJybqpmO2ns5LNAOVsXPV4emXkPaxGP 0xmQeQ2moxtxb3dmz5aXHEK8KrOnqO2w5HfpmSOSPV7evkbrK28q+HFx+Kxq VMjVrOBFDcJ7V1SovW2wJHMNVoTPRJ2FS2ExepH8Ie+a/FheAO9nvqfcrcmY WzPn8PZwTamWNOaIsAeo9nWGau71eX5n5jUYGfYkeZHOyC3hmlYtfw43hGtM taWc2xv2LHmVztzK+pbw2bAsb+/eGf52eXifQo4pt/SN/cM1pNrZntnLfw6/ S57eM1xzqrXN2uNwTauW9c0Nia9PXlut8SSuk+FhfQ/vP07nZ9iblZPaix7h WtbzC9BNtC+Z+zTTOOF/je7QDz0HXkE/CLPD/xz619C9aejm4WfloTPDOa1c fgHyyWeWzirljHKrTvJclWP1wv80+pfRGVA3/E+kfyF5tLynevLc5UG1wu/Q 2DpTh4XPUJ2d+oc6imePhIq8/ykaay/gocxz3IxuEfZ61YzO8qZh79OZvhD9 UXjtlFOtwjmtXNaY/wOOLmBF "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0adOHQAUgOHLuBAEogKBQCAQOEQfA8Uj8ADlCVDsVcoeZRr2RoEkNAHC 3nu0ZdOy9wgfCeJL/hxxxDnxqWkp30ICgUA6SXx0kCii+UIMscQRTwKJfCWb JxoYI9SCMAb0M42ME24WZFC/0MQEr7zRzAi/GKWeYfp5pI57fvJAH3fUckMN t/RyTTWXVHFFDxdU8p8KzunmH+WcUsYZXZxQyhElHNPJIT/Yp5gDOvjLd35T xB/a2aOQHQrYpY1t8tkkjy1aGSKXFnKIdLcIsvQ6G6ywxiqZLLLEHAvMk8EM s0wyzRTLJH/++x3gC1Lu "]], Line[{199, 195, 181, 256, 163, 255, 164, 203, 257, 165, 191, 192, 193, 189, 190, 182, 188, 162, 187, 180, 184, 183, 198, 199}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{265, 264, 268, 597, 588, 589, 587, 591, 590, 509, 593, 594, 592, 596, 595, 510, 599, 600, 598, 602, 601, 511, 568, 634, 542, 586, 514, 584, 513, 585, 508, 267, 266, 265}], Line[CompressedData[" 1:eJwl0llXzAEAxuH/tGgRogVZMlkKNWXLKaQo7rpwi6mGstXsq2lDsrVYotNX 7crT6eI5571+zy8cSzyJh4Ig2GHXOMvRiiB4yxse08hrImzxh0cc4RU9/OYX Yxxmhm5+sskoh5jmKhus85AGXnKFNX7wgIO84DLf+cYI9cTo4itfGKaOKTpZ 5TP3qWWSS6zwiSFqmOAiH/nAPQ4Q5QLLLHGXap5znkUWuEMVz+hgnjKDVPKU dvq5RZh/nGOAgL8c4zZ9bNPLLE28o5k5rpGghTitJLlOmuOkOEGGG+Q4SZY2 8tykyCkKnKbEmb3vNJAgSYo0GbLkyFOgSIn3lJlngUX2oooyzhCR0H5f/wHs 3DTq "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl8z3UcwPHvZpVUiEqnHDnSJVHp0kWuohGFCCW3kpJKjg46KObYvTHL 2BiWazYbc5NKKpQuRSWlEJXr+Xn0x+v3/Hzev8fv8fj9Pvt8V7PXkPjBMVEU tfWSFBtFiapcLoreVf24KJrHepzPq7mH+bxACdYPsZ3a6EG11WTzVmytFmqp BzTJ/H421z26T/fqffNmvFt36C7dqffMb+PtukVNdasmmjfiTbpBN6qhJphf y+vUQAvtr+EiXs+f2IQFbMwPeTP38RUu5ctcxpH8ha+xkGO5gq/zV77JIr7B Yo7j/nBuLOU7XMUJPMDJLOMkrmECf+dUruUUruM0HmQiN3I6NzGJfzKdW5nG j5nBw5zBT5jJTzmTR1mRn/FiXqKLtMN+Nj/QVfrSPpv/cXE4F9XWF/az+C8L wjmqlj63z+Is7nFf9mm/DqiR2Q+q6v3zVUWn7Fczh3n6TmX23/MbnVRp+D7M 1TLr5eHuabd93XD/9K31Ks5mZS4JfzPl6iuzOdzFuTzBarxclylOZ+i4eQ53 sg7z9LV1CbNZice4jv+wHLdzJbN4Ho9wLf9mLLexmDN5Lv/iGh5iTdbQR9ap nBG+nzYr2X4LU7iBf6jIOpMxjLTeegUzeE640+G5CM9MeA602vw3FVqn80pW 1xV6W28pLZxN+A0ab1/CCjxbCzRaY/RqOHfvjeLP7BzOmI9wMTtxL8uHz/FC 5vNS/sizeKamWD/MeLVXR3XQVPPH2EWPqpu6app5d/bQ4+qpJzTdvDefVC/1 0VNKNO/LfnpaA9RfSeaDOFgD9YyGKNl8KJ/Ts3pew5RiPpwv6gW9pBFKDefl LmcqQ+lKU6pSlBz7///K05RZt7I= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1224, 1223, 1413, 1561, 1721, 1594, 1720, 1595, 1722, 1644, 1887, 1645, 1684, 1683, 1563, 1727, 1728, 1726, 1730, 1729, 1564, 1732, 1733, 1731, 1735, 1734, 1565, 1737, 1738, 1736, 1740, 1739, 1566, 1742, 1743, 1741, 1745, 1744, 1567, 1747, 1748, 1746, 1750, 1749, 1568, 1752, 1753, 1751, 1755, 1754, 1569, 1697, 1844, 1646, 1725, 1597, 1723, 1596, 1724, 1562, 1229, 1228, 1227, 1226, 1225, 1224}], Line[CompressedData[" 1:eJwl00VTllEAhuGDlIUd2KKIreiMmCAKBiKiSBgbZeVK7C6srTFju7K79deI LdjYin2dcXHN/Zx38833RkZ1TdnyhBBCA/VJIdSxLDmEISkhJKeGkEIzkkhk sOtBE/ht/+UPg/jJL77zgyYG8pVvfOILn8niAx95x3saGcAb3vKS17wikwZe 8Ix6ntOfhzziPg+oox+HOEwNp8njFJM5wgqekM9jpvCUlTT3/6ZqqrakBWM4 6toxCmnlXKA5DKW1cxpn7LOcYxjlrq3SabSx29GWHI67NpwKe7ruYz8jqHRt tc6gg12k7XWmjmUkHZ1n6XkusJYlrq3RE2RT5VysB1jPUud1epJRLHCerQfZ SLXzBu2io7WzdqIrJc4X4+/b49hkp+scvcR4ewKb7W5aqpeZaE9ii91d5+oV cu08tto9dJ5ejc/Izmeb3VPL9Fp8RvG5sN3upfP1OgV2ITvs3lquN+I9j/eV WruPVujNeE/jfWSn3Vcr9RZF8X6yy87QKr1NcbxH7I7vli7QO5TE/86e+C7q Qr1LafyP7I3vri7Se/H9trNYbNf6zorJJZtM0kkjkSbfYmPS/+/yH7bzaek= "]], Line[{1412, 1361, 1365, 1369, 1370, 1371, 1372, 1521, 1643, 1843, 1642, 1841, 1641, 1842, 1678, 1840, 1640, 1838, 1639, 1839, 1677, 1837, 1637, 1835, 1636, 1836, 1676, 1834, 1633, 1832, 1632, 1833, 1674, 1693, 1631, 1673, 1630, 1884, 1883, 1588, 1882, 1672, 1875, 1719, 1628, 1831, 1874, 1873, 1592, 1587, 1881, 1671, 1629, 1635, 1886, 1634, 1593, 1589, 1885, 1675, 1695, 1694, 1696, 1638, 1412}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.9249999999999999 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 0.9249999999999999 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUFlfX6LGLYu8NJZaowRI0KGocNBobNiygYsVesAaNvfcuolGj2CuI ir08iooogoggCEgH6dJVLNzctZ7fnrXGlcXNl/dr781fz/qtPXtm7zPn7HPO nn0ek3EzrScUNTAwsC9lYPB/f5cv+tLSeE2Ybuz9VbqRndyVbnccgtyHvBCu UPTOu7VWXsK2xgsrX7hyUhj94T1eh93t4in6MPow+jD6xV3fB1tPeCr6MPow +jD6NoZlps7p9kL0YfRh9GH0TW/VmNxxaIjow+jD6MPoF5nZeGLxya9FH0Yf Rh9GP2V7rYsJnaJFH0YfRh9Gf8jUBt/7PIwVfRh9GH0Yfd1P37qf75cg+jD6 MPow+s3qtWzlFJwo+jD6MPow+rvy2rotGJMi+jD6MPqwV3yR13YxHsrnZx1b jExKU2IOmK+cNCNYF+F4uFwr+72Kla7vwJxFfsI8Dz6+wa5Tmw63hNHvaX8t LflYqujD6MPow9gHt3XdcLJ0+Z3KxU666c9avBX/eB7+wejDXM/9uF57f/xf vG3qkmGjt+hqmqSubDbkhHD6uTzfC0VTlWJHd5g/qXRbrq8yMK5k5ITTiu3a z1bOm9KlPWH0j9RaWK5RD/X+PP/7zftCuv76SmfqdmaI6axZyi7XgO82jw0S zvUrsyyo13Nht6g1x34c/0RYxp+eZzfM6+3f1lN48tOnMQ/LeAjT3mWaHbr5 dvQNaS8Y+8wdd9xu0u+ycGTYuevXZutEv1V+8qsNgx6JPsz1DxrEDT/+5IHw vheZtg7hj0U/tVWxlC03/UUf5nqHtQVD26X7qe13YG1zA4MA0feMqZg01DdI 9GGuN3LccjpufaDw/P5OTR9XChZ9593Gb+pHhoo+zPXRTfefdN33Stiq6JEm OxuGi/70nqbxiRmRog9z/ZWwU8cdz0UIbw+12em6L0r0XT4fyLRdESP6MNf/ 3CPsef3IaOH8S6Mq7WwYq76/4KOzfiwTr74/PXO9e4OYAcUnxwmP3zJhu+O5 eNGf537mrcmuN6IPc33t/MRniRkJwn4Tp1cY8UOiOt43XHAoWTdZHW965vrV L9728/01Sbi95dytyp1k6e+MB/o3TP+F6b8wz9OOJ+ZTmPkRZr6Dmb9g5iOY +QVmvoCJ/zDxHCY+w8Rbxjf2E59gxjdMvNL6y3hG32udLnWZVXxnrodpL5h4 cWZyzO+uv6Up20029OtuE6ibN+vO0N/+4BPeWUnn+3sLu7fvGzb4/nnhfbZ7 35cJd1fgxffW3l9gGdy5wuqQi+lTNwqHDkkZM9f7sHBg2A6/FU5XhS0dz50a +d1tYadB42MD0h4KP3GZ7W953Vv4YLhu5sXS/sIdVv08cYrDc+F523xnLKod JFzRfPB4s+UvhXt2DZvWzTRUOC5x7LiPO8KEjXMTp5TrHCn82rdd65iBUcIf Bn1sk/JtjHCPk53Pe4WqbN+i6KVn7nHCF5Z3b3nWPl7Yt6ShmYfFG+E6w61c t6Wq3C6qwoW9nknCa9oMMp33S7Lw4evVWy/pkyr81mj4WdsvKpfdVe/82MB0 4WEJY5r/uO6t8luns56j3p2S+bOt06Liv9aLv8P8yPUyfvQs40fPMn70LONH zzJ+9CzjR88yfvQs40fPMn70LONHz4wfmPmX+Zv+6DZ939DxlXUyP2dl7Kl7 qsrhr/qrTWrqscjoM8IWLi+nJVxPUbLmTLvnlnhNrt/qseRa+wvXlYUWPy06 2VOd35GzHtByzabW2WlG6YpLm1MBt/LdFafsBanTolR9n9SF+7wOpCs36rRq US3ysqwXvpTqt6v24EM6rb2sF2DiAestxjPrLZh4DdNeXxbETnDxeCv6xId+ RreSp8S+0rV+tKmnbohL56pGv3rVqaCyY4sLtSa8CxR2b5Hz4yWfIGGez/0q 9zfd8enSc5GH9Eua7hbpLzwnquvyt9seCydHeXtvau8jTLyC8Yf7n2toMdPY 8L7IzRtearJyzD3hdJ+f9zUbd1E45qn1d+MuXRZmPMj6R9++eyvuOOdT6pLa P12GxhuG35XxI+sdvTw3zT5g/sn7wlNKzoneX/BErpf1jV5+aNAyP0MfX+Ey V7zSnXcEyPWyntHLj9n1je/7Th1vEZMDU0cfDZbrZf2ily+sMCK2uuErYY86 MclNL4fL9bJe0cv7eU6OjqwdIdz9zfycBbFRcr2sT/TyHR1uzhzsrI7n83eX zh05PVaul/WIXv6ximd6+/pqfKy1b01Wl9x4uV7WH3r5hDTvGfVOqfFg1dzN s5ssTVTjF+sNvfyZ17PUIt+r8TPNaldGmVIpStuacZc3rAqV8dTSYODHjw4h wu+HD7arOzhAOKvrvcNbFX/hBR03lBjV64Hw1LL227s2uKvKP2XZRLe5Jizr KT1jL/EX+47++jr5Sdd0xc05/orTaBdlUq9Iv32ObxVni7qGL6a9FH3md/jK +5qjfRY8FWa+l3ihXx/ALr18o+pZ75b+fnVTB4v5tZd/Nb66v0hqnTzwmo7n wdwfxj8Yfe/6T2Nqfrdd9GH0YfRhuxkuJob+TyReJ2ePTp69J0i4yYW3P0V6 vRb+/qquX5OPMcLPdq/7GF75jfCMef1P7WqeIlx2UI0hvbu+FQ7a+3a5gWum cKP1g4LDrmULz51/tcXVB7nCnhPrrN7p/0640tBloTPCPwiP6R7bulfiR+Hz bXusa5TzWbig4dnXBQUFwsR/j8EmLxtYZCj4D+M/jP8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+M/jP8w/k+5d6zariWZ4j+M/zD+w/gP4z+M/zD+w/gP4z+M /zD+w/gP4z+M/zD+w/hv3LLpkBKeWeI/jP8w/sP4D+M/jP8w/sP4D+M/jP8w /sP4D+M/jP8w/sP4/2LfWaf5JXPEfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH 8R/Gfxj/YfyH8X99qVaBSb1zxX8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Ef xn8Y/2H8h/G/87yLVey25Yn/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/ MP7D+A83cK/ovd/FU/ZjtIfsz/Tr8/JlY3OHhWUIP5g/8Yen9bOEF8Qlzes8 Plu45cAZHu6ncoRjb2dkf5OWK6x9vnb/RHyGiVcw4xemP8O8X/Kh5bKXby7t /1b2Q+xvrKrt/fHmsufiL4w96wO+3dP0/CuRw5KffjTife+3USKHkS8/0fB4 kVLxIoeRG69JGXjNOEnkMPJb9pe+OJiniRxG3uLw7aDKJzNEDkv+eLuJafrF LJHDyJ8uW7Py8Z0ckcPIa89MCjn2JE/kMPKpo/q2Wv7yvchh5Nf6XlgzIiZf 5DDy0j9WCzdP/yRyGLmN6a9mlfO/iBxGzv6rXdiBKe5252Q9B7P+nNUg3MzE 8pLw1l9WzDC2OKJjv8n1MOtB9o/IYeQ8H+b+MPED+/cX/7TLedML6X/EE+TB 9zalFbsZJnLiC/KNui1H2+dGi5x4g7zpwSED3holiJz4I+N7cb3Pxxsli5x4 hHz8iPjTdp3SRU58Ql7k96FnDZtnipx4hXzA5htF4n/IFjnxC7nLImPbu11y RU48Q54+daXb/r7vRE58Q955eELx+cM+iJx4h3xzr94jrCd8FDnxD3l4e7cL LWZ/FjnxEPl3TSuXNlxSIHL2S9r9yP9rfpN4WjT+YHTogXTF68S0VlFPvSU/ c3B799mvdwcKh/YNetL7Ybjw5jVmle0Wxgg3H59/p/LOBGHvrp7THp9OFp5o srHm8nvpwkUNTo/bPz1T2Pqt0XXHBdnCRyJmVbBenSuc4Rs4ocX2d8KWt9vf Kn3gg5p/OnegctzJj8IR+w2m6C59FjbdNF63T1fwVX4r4EaYidcHdx381HLl tsCHJ3S0P/kgbX6Q6zuZV65x1C1DOCbyUmDF0pnCGUd2D62WrbKzVbuqq6yy hE9UqOW8rl22sNX1G4Nyt6s8fPGBoA+LcoQNmnTeNSlI5YpJ9atNv5srfGXn vYBXtfKEmc9gxv+Jg927Ta2i5v+Y7yT/pe9f2vmOfJjkb/Tzn+SH9fMfzPwH M/9dcex+48HRB2o+UrO/1+7HtflF5kPsZf6Dme9g5jeY+Qxm/oKZr2DmJ5j5 CGb+gZlvYOYXmPkEZv7Qtr/MF/r2K782/KfFay8LHxxcZI+/7X7d/+/5yaw2 QVXMXjyV/mRwccmDJkv9hc1tFtqX/O2lcKeZ5YydXEOE51Qtc3uud4Qqd/a7 udwhSvhlotWmjEWxajyc5zy53do44XmPqrY/ueuN8IJBo6ql/54oXPlEeNzI synC1c2aeB67nCrsvvrYjqr33woPLz3/quvEDOET35sfmpCmxssz70LLbZiT JZzXYF+u5Qc1fuYndB4/fmmOcLeKX/rULZEn3PPlkRvKRpWdCsYeeVfxvfDe hyUr1XFWOSb94fuAuvnCCR5TJ+UdVtksoll/t6af1PY+5nf7uavKK323HN/Q 9ovw6l1mVV2vq9z8oW7A/A5qfKb/s76nv69tluURPEFl59QX5uEDMuV61v8S n51/yel1Ro1PVsNsHPvtzpLr2R9IvC76oc2tdFXfwCv08t1X2XI9+weJ3zMX z23ZRuUrZqNyzYxz5Xr2F8jtwgsuusxXeeqh6LbHx+VJPpL+zH5P3seCi1f6 rwgQZv0GB/7QteJt91Bh1m/w+g+JbavNihZm/SbXh7hH+6yLF2b9Bj+4smDr ykNJwqzf4HG7LTtaXE0TZv0m47FD8Zz5b9T+zPoN7tdscu9B2Wp/Zv0m65Ga T11aFqj9mfUbnFqq9TvDsur6gPWbjOd3u/rGV1fXC6zf4I0J747e/UZdP7B+ k/EeNCJ/f0t1PcH6TfLHmu9XtX/xq/lb03vK2eZ5qY3Oq+uNqGUD3k0xUvON rN9oDxj/YfyF8Q/GHxj7YeyFWd/A2MP6AHtg7IGxB8YeGHtg7IGxB8YemPUp 31sZDzD9H6a/w/RvmP4M039hnsf3XJ4H8zyY58E8D+Z5MM+DeR7fi3kezPNg ngfzPJjnwTwP5nl8j+Z5MM+DeR7M82CeB/M8mOfxvZvnwTwP5nkwz4N5Hsz9 +X7O/WHuD3N/mPvD3B/m/nyP5/4w94e5P8z9Ye7H93zuB3M/mPvB6PP9H30Y fRh9GH3qBdCH0Ye5nnoCrodZz7F/YP8Js/+E2X9K/kmvz/4CfRh9GH0YffYf 6MPI2Y+wvqeeg/0MzP5HK+d7N/sN5Ow3pJ5Tv9+Q+k/9fgNmvwEzXmDs43k8 n+/nMN/HYb5/w3zf5nlaOd+zYb5XY69Wzvdp/ON6+jeMnOul3kT/vVraW/89 mvbTyqUelvbWX8/70dbLsj5kPwGzH2I9SP+AaW/mP/q79v1r5x/kjBeY8QbT PjDxRfu+uT/PY35ADiMnnsPEW5j4yPuHkRPfYKnv1r9/GDnxh/cLIye+wMQP WFs/ra0v5n3xPhm/vD/5HqbPD1KfSj6RelHyj9R/kl/X1gt2Sri/xtE0U+oL M617PEyclaVUnb5i0IrWqQr1giFumR+qFIlTqC+l/tL5wJrj5/3U+NLH0DDe pEq2vC/08Z/nk09gP896Cya/qc3/Sv5ez8RP2ku+D+hZm39GDiPneeSfaS/s 53sEfGdryDzra17C+X0m++ne+AmTP4YtYu9b9j0aLEz+GP7FZdC+GwGRwrw/ bfvDvG/Yccv1E09qJgrTP2DaW/Lf+vyN5FP0jJx8DnIYOfkd5DBy8j3IYeTk f5DDyMkHIYeRkx9CDiNnvDNfML/A9G/qzWHqzdFnfkEf5nrqzYkXzDfEN5j3 Q304TH0475f5g/dPPTb9T1vPLPlX/X5Ze36A72nYq13/auuDtesV4gPtIetZ ff+iXh7/iaf0T+rZmd+YD2HiJeOB+nHmO+ZDmHjK+KJeXNYrmvmReMt45TwG 45/1E/Xi0a2KTvxxo8ra7z/Yz3ilPl7yD3p7Ge/Uv8t8qbePeEF9O+OT+XfY 8UYGdRtlSDxivuZ9E6+xj/eFnPiOvLdtjO/Maur8Pu9Rrv2pLWlf7S/JP2Iv jH8w7QEzv8P0f5jxAxPv4ZgLzRpuP6TO/+y3kbPfhtlvw+y3YfbbMPttmP02 zH4b3rv0VNVjvdO+2q/uMX+90cw8UBllllA9KSbpq/3Y5zYX7KpNilS63V1z 5+B+df3gEvrw9c3XMV/tZwKKfjOyXbq6XzFITJmy2jNJ0dbb8z6m3stKnNwn VXGrdtL+dgVvWR8QD9onjbzRa2yGYpnX4ZJFQ3W9sMP2yDceXZOVisUPPijW LlhZsuiB0ZVmCcr1ork1l5+LUj77VO8WkxSjzF7T1LXWzdi/Xd/vH9O3i2PF R7rpTp0iJjlkKgGlhsY2TA3UVbAtubn6qiwl+KB/h9HD05SN9QY/f37XVVct dvRDi8NpyrX6/e67Gm//2+cDovctWdt0/R/7myPDGxfzuVboeYGGR65FHCma psxWrM60e+GljNy4Jy8iJVUZVM4pvotR4ecJDPu5Bc7ulaqM891T08D02d8+ X+Bx4Ns5jT2SZb9yreyLWZ+LJSnGVvZ3it0JVe5Xzrc+/iJRiYiq3MS4098/ j2Ddc/EbtxcJst8Z+9h7VLndcUpy9ek2DzsUfl6B8T/1h5jLvc6p9fn/0fML Rxxa1axqEK5o63v/7DzDrZMfe7qtDFS09b1/dr7Bs/fNW11mesv6O9Tunu3J 7+/qFpiv2edUPFMZdb3C9i5m/rptn/1WffiQqTiVNwkLNbkp63Pica3nvvFO Q7IU2/fHshcufi77KcbvkRHvGr/rqK6HG1f5KaJ8Uw8dTH67sPMUXJ8x+vvm 9d3UenHm80GPbi28v1Wd3ws7b8F8fmjk0Gmr56v978/OXzC/W58Z5rjEr/Dz GBvdDo8qMydS5nf2S0tP95lbdpRa3818Pmp634m5w0Nkfmd9MOaSmc88+6/P c3imbw1o7+gv8zvrA+Pei+fGlC/8vAf7gwW+I677v1b3V82MDue0eJKlvK/U bo3fsTQlwSv1zOD5Lsqm6F9arjjyR/tfG2fv1+uc4tvUKnzY1GSlueOMLnNu vlSCYh+Y11qSoLxaaxz+w5AoJSf9h6wdKaFK+0q/utfLfaPYhRyeZF3yhXK5 puKV75T81fmSEudmPZnxMUX6Q0PTneFOE1KF61gY5/mPSFGaHOwwftaKF0p8 zbkGRsf/WBcl2pyuUS9Cadl66TCHCxFKiTEFq6z3JCgeAa/di5UKVm5Prr56 Ui91fHFe5eLuEnnlXvoq07KemAwMSVFOu60Mjut6VDcg3LND6/4ZypMzfqbh Hq90dk7N17wxzFYO5H4Z4PlNiO7LhPkhtSKylOoR/Tt6G4bKfm9unTyzWbPT xd7CzqPcq/v78dD96v5wVRWTuuuOqvko7XmVnKdm5/eMSpP1/uYxQbud7NOU gUdKR/X7/YyOeL+gfURHn6XOusDSD83jVqj5o/sVYl5/szhNsdzawbbP9ZuK 4pZTf3ffNMXequGZSaU9FaMlnxon2UTL+k53aWaVlc2jlYaeF2ont4z/y+dl WH8mzO28s/9CVW5/o43lp1i1foD1hvZ8VQnrjD01rp6T9jQZEPLLiaonvooX nEfiedxv45Gy6S2m3FSvP1pj2cQbd4Tzt9b5zWXzI+GVW3cPKB73UPmPnm9h /PH8O30an5ldxU/uZ251NqvcrWfC11bXO3E794Xw0tWhK2aaqMz453517Y+0 bGIRLPKh9vHW88qFCOd0cS1o3jhc+EaXqWHhA8KEiT9S/9PAbP2uyZEi77W9 w8tZxlHCvy07aGrVPEZ4UcHi2o3vRgsTD7nf4/SoWQZPY0X+xqHoqm/N44Tb jZr4qmjXBOFaEd0ehQXHCxOPud8k31P1rsa+Efmavk9aRfRNFA7q1HLt9WHJ wldvGc3b+TZJmP0E97PufqDjTsMMkY8p4frgeGeVS3+OmLmrW6baPzr5JSyr oDLj1fJ5zMUos4tS/8H9Xdoa7JxRLUuud8+pWGdFb5VtU7t6OQzIFu5pavbj iDoqk1/gfhkNxyf2NMkRuUHcvNl2Q1U+FXaibm+7XOG9dZx3mX+rMvkI7te5 infnRi3yRN7vRcijduNUzntSZm7jye+EE8rkJ1VqozL5C+63tajp7oL270V+ 0LOTcRUHlX++4fDYYN4Htf/nj7RM66wy+Q7uF565LSW0W77IUy+4zEv/VWWn 0wH1w5d9FF6ddM/Zu7fK5Ee4n2l0dpcrAz6JvNPh4j6P16gct9fc8eqmz8KB IY3Tjg5VmXwK91vsb7N3h90XkW/cPtnk+A6Vzdbve7pzT4FwI+8NPy0bp/Jf Pf/WcuGXh1YfUiVfExY09lUb11TFzjylwfBKPn/5fNyTibZLx5dJlfxNkQ5P m1cenqq0rGhTtfM6P6WWgVWThptSlEZ5kT4vnwYoJoYeFsf+mBc3Tlxg03zX 8//083URfWts2/0uUfJF7uXis4fbJirlH/UZ02/O/7zzdzWcStbv6RmrxB4Z e8j1U4ziY2N1dmgvNX9FPuvR+nYbj9+PUUZMO2VUe/sfduTeeFyjdJyy6aWF pYtRjBK2be93qxzj/u3P82nPB29MCgua8/vdr+p7/uy8X4+yqy2GX5ygc682 2tatRIbSta7b5uEODxWnq6+eGVVNU2Ydc469NddTV/nhIYc932Yqp9bVKTv8 1k1de9NS5SyiMpTdts/9W01Xv0enmYRV2ZKlft8lH2mw3uDKfqPXf/s8ofa8 s/Z84Y0S06M/uu2X/Btyx70/GE0wVr935hrtLn5/XKYS91rXd9N9T8lHxluf v51UK02ZXs3SYd+Dq7qUN98bmPdMU0aM+jTSZ4anMjO86FwlMFnxyxx7b9K4 IGXFzwEfL5xMUo45lz+ZUBCi2HhZb9mVnKA4zT4ZUEQXqdi09146d1y8kvt8 m/2GX6IVh+C14XsCwhWjW4s2L+7xRkltd27AF8M/7jPiy732GUnK02nrwgNP PlZGFIwsVX5+qpIYY5g//oqP7tXp3b4rPDIVb9cpUe7HL+o6RJeMq7A3QxmV e9N0Xr9gXWWbpo39vbKU5u6Z4+I3B+i81hn1jO2cpdRq3dDi8U9RylWjW6Xn x8UrF0+Zrx/3OUSZZLnOaJ1LovLl0p3cgo/+iq1LyHbXdur3I/J55Idg8kkw +SaY/TpM/gom36X9Hqg9f6mtn4d5HszzYJ4H8zyY/KA2HwiTD4TJB8LkA2Hy gTD5QJh8IEw+EMYe9uPYA2MPjD0w9sDYA2MPjD0w9sDYw34fe2DsgbEHxh4Y e2DsgbEHxh4Ye4gv2ANjD4w9MPbA2ANjD4w9MPZo62/Id2AfjH0w9sHYB2Mf jH0w9sHYB2MfjH3EX+yDsQ/GPhj7YOyDsQ/GPhj7YOzT1v+Q/8FeGHth7IWx F8ZeGHth7IWxF8ZeGHu19UXko7Afxn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hs J1+G/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9ivra8if4c/MP7A+APjD4w/MP7A +APjD4w/MP7A+APjj7b+i/wi/sH4B+MfjH8w/sH4B+MfjH+S79T7B+MfjH8w /sH4p/1/P+33I239GN+PuB7meph8N+db0IfRh9GH0ec8DPow+jD6MPqc70Ef Rh9GHyYfR36RfDtMPkXyk/r8B0z+Aib/AJM/gNn/w+zfYfbfMO9PWy/F/hhm fwuzX6U/wuSbtPVx7C/pzzD5Lm19G/s1qa/Xs9QD6vdnUh+mZ/KF5IO5Hub+ 8v+P+ufD2AvjL8z7kv8/0r8vmPcF875g3hfM+4J5XzDvC+Z9aevz+D5EPpnz FvRf7fls1t8w62P81a6X6R/EF5j4AhNfYOILTHyBiS8w8UXbH1kPwqzHeF+s L3i/zB+8f+Iv/YN4Rf+hPelv8n+Y+ngM039h+j9Me8G0F0x7wbQXTHvBtBdM e8G0l/b/SvmeSP0Z/x9KPQz1I9S7UC9CPQ/1N+zfqbehPoV6GupRtP+vyH6a /1fkew728H0G5n0zvvg+QHvCXM//fzJ+yS/xvmDqnbT/N8l4gZmf+N5BfIbl PLi+/8h5cD0jp78hh5HTP+W8uZ6R4w9yWFt/hhxGTn0P7ct5bW1783+qp5zW D33XKkvknN+G369KPRfQMUeY89vwz3MHFHPrkSfM+W3YeZzHsA2D3gtzfhuO G1jTffzofGHOb0t9Z5fFJS2nfRLm/LZ832sdZVdn/hdhzm/D9Gf+r5X2ZH1M PpF6VvIPjCfqqajvgvl+SP+HGR8w94cZT7DYp2feH8z7gXkfMO0P094w7QvT njDtB9N+2v8/ZTwTX+T8n368U68LU+/L+GL+QV/OA+qvJz7AJ3RPio+4nC36 nAdEX84H6q83cNzcyMlG5RGm/br5fsgRfc4Hoi/nBfl/3JgK40seULnib89X KZ3V84Ks53hfzD+8T+Yf4intx/wCE39h5huYeAUTz2DqH2HmI5j6SZj5CWb8 w8RXmHgBM3/BxAeY+QwmPsDMbzDxAWa+g4kPMPMfTHyAmQ9h4gPM/Kj9/176 M+9XztfrWc7X61nO1+tZ+/9GxGP6B/WVzGesp2lvmPdBvTDrG9bP3B/m/VLv S/xn/Ux/gOkv1NezX2H8Us+pHb/Uq0o9i368sv+BqRdl/BLvqC+mvbk/96N9 qfcnXsDcj/YjX0p8ZP7CP+I38R1Gn/wm+tr2Jn/G+9O2L/kgxjvtqf1/kH/q Yf931cP+V9e//rv/30th9bmF/R9MYfW72vrbwuprtfWzf7X+tbD6VW19qra+ VFs/qv2/m8LqQ//u/98UVk9a2P/jaOtN/9X/l0P8JD5q69cKq2/V1q9q61W1 9ajaetPC6kkLqx8trF5UWw+qrff9s//f0J7Po370r/7/z392vWlh9YT/VfWn /D/J360vLax+9L+7XvTf/f+Yvqpn/Yv/z/Svrlf9p/70n/rTf+pP/6k//bP6 08LqSf9ufWhh9Zv/6npJ9kPEY+15Ju35jn/+D+7f6//gtPWe/9v/7+2v1qf+ 8/9v/7P//62w+l1tffJ/dz1vYfW72vNx2v9fLKy+V/5v9uyIG6tz5+r+ar3v /wFkMRc0 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNludvlmUUh8/bbVvbt4y2tEhLqVSggFiqYFFcOFEr4gCpVqSCMgUHoALi wC/uvff+B9xRo8YPxBFH4ohGo9FoNBqNxu3vl3MR++HKcz/nPve5nzPfd/zS tQvWlETEF6JUHC5miWmiUTSIEeIYsb+YISpFCfrHivmiTFSIAntHitliuthL rBNdolqUo1vD0/ZOEgtFLfftLupEE+8jwbJ6nrth7wTRL6rEInGqKKJXzT0D YokYJSaLPcVEMU6MES28jxcdog1ZK+97oDuBp/fPFIOiWZwjVoh2/OxAt4QY OFZTuMP7q8Uq0ck9o4n3ecTKMdtX9Ipu0Sf24dvniB7s7U2uCuRtOnfOJlel 5KeSdSM+tZCHauLYT5wqea8jByXIKtDdFfuFrGvQc44aiP1I9hq4b/SwfFej 2zRsr4Uc1HF2BLlq4r3A+XLi3cpeC3kYR346yN+YYbJl6LQOy18HdJGPFcjb OG+Z62OI82PJVRd6E4m9c3G+mEluLiBPPZz3/iRxITnrxZdpxHUddmz3MHEo OXdtrI2sgaPEPPI8mXsmca5nmGwm8ivFFXxHN3dady62LXONuD5KsdGHnbl8 h/VOjuzJWmzMwc7B4gAxFT9m4csOcRV6h6A3FV2v94ucHwdGzooZvHu9UVzE vZfzHf5O163ni/v6ONZlMD/+nz/Ho2Ofjsb2gsi5UAWu70r8ce3W8LSPRfw4 gtj0c7aWuM/D183YrWL/RHTqsVXEbj/y9sjacl1dTEwt3yrOjqwr17d7xnNp aeRMaUa2CPklYjH2LTsNeRG9et6XYK+JdTPPAdaXitPRtewM5IuxW+R9EBuD fM9Yzg1wtpU9y7fw3c3onoXcLEO3jXU7z6FhsfHc9Aw8l3U7+8tZT0Cvk5gN Ydt2G/nObZy3/prI/umEVdjoYu2ecs5PwV/fuRJd15Nrx/V1GbZ22VjN2U2R tWgd15Pr0PXgXvbsdt0+aVuFrPmV2LKdl8SLkX3h/t6OzSmc99lyndsZefZO 8U1kvm+N/I12zd0uvsKH5fjfTj63kIsa2akVV2v9j/g7cj79Jf6MnFu/i0fE evGreAifncOtxHkn/vh7PLz+jZxnN4vPInvvXvED524Uz0f2ue/zPOoDzyXP Kve5+70XvU3E0/NvI/ueI54nnk8bIudCNzHewPph8RuxfFT8wd6D4hdif7/4 iTjdLb4jTvZhB/dsJwbOxQviscgZ5Pi694rkwP0zCp83k3fnw73tvr6eHDu/ jv0NkfEv0/rpyFn4mng1ckZWS/46fr8j3o78//WyeFYcxPMV1u+K9yLn1DWi opAxfVy8gZ2vxR2RPf2luC1y7nwv7ons1c/FLZGz7BPxceT/u0/FTZH1/aZ4 K3L2fSg+ipytT0XWqOvhA/F+5H+9b8VdkXPCtf9EpM51olDIfD8jniMO68ml Y/6zeCCyh38U90X2+rWOcSHr4D8y18Wc "]], Polygon[CompressedData[" 1:eJwt1GVvFlEQhuFZ0qC/gh8ABAuS4A4BQgmQQoBQAgQIbXBoS1ukuLu7BncI FtyCu7u7u9yTeT5c2X3z7p49Z545p2R6ZmpGITNrgRSsx100w2Aswxf0QgY2 4AFSkYVbGIeqaIKNeIzWyMYRHEYt1MYvjEcF9MM2fEIP5GMdpqK6xtyJfaiB 4ViB7+iNPtiBH7ofhu34qrkOxR5MRilUwyY8Q1vkYBHeoQu6YgFeoxPScRFX 0RBlsBkv0QFDMAdPkaYxZ+ERWqkG8/AC7fXODNxXvb2G5zEGlVEf13FbtSyL LXijueRiK95rrnm4grGoojlOUQ29dqMxDXfQVJkuwUd0V83P4IK+XVpj3UBj jXkalpgN4FIR5/SOP1sP13BW942wCsdRV5kdwgHVv6ZquxCdVeMijD2B6wgU 4Jsy9Swz8VmZepY98dOiJ7wX+uK5MvEs2ln02lpUsui5y8rQs2ug2s9ES2Xg tZmO5qrRTWVQVjXwtaxGHa3J13LUopd9TZ79XH07TVnPR0dl7tle0rc9Y++N 2Whj0SMfLPZAPrrhrTLOU40KU5+TXMupRvcs9mCW5nwMhXhmkOaYJJGZZzVQ /03SvT+z12KP+972PbYfB5WNr2cNUpLYK17DE9ht8dvHP4W/6I/yFmfDcmXl Z8RDizMgWzX2vbpSWfmeLZrEGP7uSBTj90Tdj8If9USBvuFnS4kketl7eheK JzEXn9M/jeHveo96by+16BXv8ScWez5HNX9lsadylZHX9rfFWeQ19rNgsbLw M+E/GSauEQ== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGeUVUUWhbtKl1nEAKKAKLYKTUZAQECydNsiINkWoQkCEtVxMCdUDBhR EQOIiIg5K2IERRFFRJY5zOiMcfKYw8ze63x3PX7sdereW3XqxF313gG1M4fM yGVlZbensrJtJJvpYTvhej3fJSwX9hMeFeoIewiPC7sJewoPCQ8KdYV1wsvC EmGuUE84SHhGWC3cIKwRXhRuEV4VXhGWCi8Ja4XbhKeFVcIC4TVhvbBMOFyo EFoInYVDhGbCRuENYYWwSXhTWClsFt4S7hW2CG8L9wsXC+VCB6EjY9vZCXmw cBjSezwnPCssFLqwZ3OhK9I2vS5sIF4vCM8Li9jfe7YXumF7S6Gn0EZoK/RC thOOQq99PUJozbzefLeePshDhUvwo69QSVxs49Hs112oRp+f+23ldxVzvd9o 1lexxja2Eoazpr8wCJts+2Ckbe/BXNt6DM+eN4Tvtv1YpG2fh71DhZHCkcIA YQT7+HkgdljXMObbjlHMrWRuR/J2HLY7fhcKJwunCOOw2/aOIS7WfQLS9tby 3faO5Z3XjOedbZ+MfbZ3IrbbrhOJkb/9UZjEu0uZM0GYwjrbPhXpeJ+EtO3T hRrheGEG0vbORNreWUjbOI11XjObd+PwuRbbT+ZdLXYNw9bLsOtU4TT88fc/ 8N7Pc/DDfp+OtB9nIO3HmUj7cRbSdp2NtE/nIO3TuUj7dB7SPp2PtB8XIG27 ecUcY64x/+wu7JqCf8xD5qOLUnBNObFw/l3v5g73sjnIfWlucB+Zh9zH7mv3 tHvU/ex+NSe5n81P5iH3tTnJfOa+NbeZq9wb5i1zkuve/OS+b03evL/rzJxk HnJvm5PMQ+5hc5u50PxifrszBce6rs077mH3QCeebV8X3teSY8en4ILe+NOZ +e4J90a/VOKpLvhgDjAXdOB731TioJ741p15Fcztmko97H5wb7s/il63HMj+ lfjh/ap4Hoe9s7FvAP51JV9V7FPNczfiV51KXDOI/PVk/07o6I+9A1nTCxsH k5sefG/Nuh747F4Yyt7uo9GsqcXeolenYK+fR6J7PPNsaw3rq8l9DbZax1j2 cD9NSCXeKXhoDGsq2X8UeVxIzp2f4dhacMEM7LBdk/F/BPPakadevPP3gp8s J2GT8zArlThoKntMwtaCg6anEu/MxM9prKnhu5/de665DvhpHjG3+Ny8SWiA bvPjadgyh+eCX+akEr+cnkpccH4qcc0ZqcQvZ6USj5hXzLdXE++CU85LJW7y etfghei9TrgiBXdcnoITbfOVKe4H9uWqFOer66W4E7jurk3BO+XsOY99y9Fn 3rkGmyagbz7fC048G91Xstdc7KmHvqvYt+DNc7DxGnTOx47i7rIAG3138t2t vnBrCk7bh3cL0H9jCv6pzxqPXXfP8G3vFPVnbjR/rEHXvjxbZwW5Xch833lu Zq+bWeu8TyTnrgnf9+4QGqe47y0WGqa4ey5hfBG5mcse5uEWwHPMT+tY0wh9 SxkXdzjXojl1GXstRs++rPf8VsBzinuLe8P17jvkPcIBwkjdhVvk8PGBFHe5 psRsFTFsz3vfx9yD9/LuPsbWs5nnpuTiafJhn9bi+1ri0hD9q8nLKubXx4+1 xMO8vZI9fQe+W9g/xbn5ZIqz8xHhKWEv9ltFzn2m+hytg68rWfsk6z1/Cz4f iG6foU2En4Rjc+htw3vbUpe1he4nUpzTi/HrNmL/MvlynbhuXCuuJfOF6+lZ xg1Y8yK5W8Q3v3+eta63W3j2+BOhJsfYeV2Oje9YRw57FjG/OfG3PS232rsZ sXc/OO+u/TXs43PfddyYdevwZRnfGqNnNWtvZ84S5qzHrhvRfwN67WMFcg3+ LkWn69T3n8dS3IEc44fI0WN824M8biKX9nsDvrsXXmN//6Z7ne8tFY8dcsTe a96gBlYwbkveN271biNzPN93mqLePXadt5a+HXPkdgN7NeH7Jua4Dzaz7i3G 7ov7efbYdbeFdyvQZT1v8941WaF9ts8Ry0JX0Yue5378Rqifow9mSf6Sgmf3 17hRjhptL7lzjjp9TzgoR2x7S+6Zw5aerp0ctveQ3D1HvGdL/paCj7tpXDdH zJaTa9/r7qBmnM+HyV1d5CPksQ559P3WNrl/3L9dpW+3HHnrILlLjprqJLlr Dt19Jf+e4pyZqfH7KXj0YI2b5ujpIyX/meLMGaTx9ynOk4bmthx1tJ46sc2d 9a5OjtoZLdkqR9+1ldwpR09USf47xXl1tMb/TXHmuaZGUVe+o/m+4vvIx+iy HsdpCrH6QpiWozb+KkzNUWP2+0R8nyx5eI4a+AvPHv8L3+zXJMkuOez/TJiQ ox9/JvfOu/N2ErnzPt3Zy3MPY77jOp7YOgYTicPfiK9j+w/i7pi73o+j5gdL phzn9AfC0BxnbgP7l6N/t81RZ8676zFj20D/EZPjTtE4B2e5r4/S+H8p7gQD NP49xb3B9bsfNVxP8mvqy/nch5x+JXxLv7iW+1DP/SR/pW5/pY49/pw4Oobu XcfecR6ud81znEHfkW/n+j/UwTxyeAR5/IE6c419lOIcNR/+KAzJcedy746g f8dItsvBe+bvNnC4a+146u1AyXfpC/frCfTsn4SxOc7NT9FlPf4faxj/ZXld kxxrHcvKHPF0P42jp74U/GeY+adWsmMObnffT6f3vc+h7OU89M+Riz+zphE6 eqHHtXAM9eBaOIR6cJ6ryfWHxNexdb+W07P/B286Dzo= "]], Polygon[CompressedData[" 1:eJwtk/0r3VEcx7/fi9+Ni2vXw8U8jmEzD8PYRESEliRpJEnjrxhm87TbTVpL S9LSEkvmH/GDZ2aeFvM4Ucrr0/n88Oq83qd7zvecz+fcmNaeum6HZVnZ4A/h BBc8sC1rAZ7hWfANd0MOngtTeCQ8wuMgGP8FefgLmMaj4DmeDZN4BETjHli0 zZoivBh+4DGQjxfAd/mt7IFHQpBt1jzE3Q5zNplLxlNgDA+FZQghzzMGQhr+ BL7gLkjHM+ArHg6JeBL4ZB0U4i9hBvfAETjJc7bZ8wRKyYOMvfAKfw2zeCxk 4k9hQs4Kj/FUGMfDoB3f1dpIDe/Aj7nPttmzBd/WWsseb8k7WjvpQTN5S/eW O3SQ/2itpOZt5N/aG6l5J3lP7yI1PYVy5oYY+6Ae9wcnvgQOfFVr8QnOoZK5 YcZ+uIRq8gjjB6k5fqNrf8J/qGVulHFA73bM+N42d2wib2rtpSdd5H3tvdS8 inyh35JvBJBv9SxeqCNf694foYG8rrWVN7Cia7z6zRL8kDHONj16Q17Tt+LT 3v7Vs0uPy8j/tLdSo0byhr4d6WEN+UrvLnd8Rz7Q3ssbriCfaW2lZvHkBIf5 b0iN7wHWV2Bt "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm812MWvn3PawgNmnbGTGOGFhEikbIrMi0z2dpVF7Mw0q6mUrf9pm47 7dKmW9FVJA2pSVK2MjHKFKlICzOlrM8zz/P71B/nc87v/b7rOed5zrm36r0P tXgwy8vLO1YqLy+gm6e8vNdgfI3B6tBdoftCysLuCDkLchmkF8Yey/T7Eeg+ kEtg94QeAKkFuzt0P0hN2N2g/w65GHYP6P6Qy2H3hh4IeRMyCDIC8kuMfwm9 AfI+ZDJkBuRsjH8B/QakKuwD0Jsgv4N9CPptyAWw34V+B3Ie7IPQb0F+BXs/ 9EbISJ9VABkFGQwZAtns84sgoyFDIcMgj/s7f4/x2HDIBK/n93HetxAy1vvk fhf4jImey73r4z5XQybBnuL14yFP+HzuscU23/+kxzjvSqyrG7rLNN+De0/1 HhOsC32/kzD3G+itkKe8F8+cbc11T1tzv3/Z33Mgc23PhMyzngWZb839Flhz v48gz0KehzTEuQ1CexefsN8sv5P3WOK9uMcHnrMQ8qE19yqBLIIshmyHbPO6 5zyn2Pea7H2XeR2/l3XOPgr7P77Xi5AVtjm3Lb7/AbIc9g5/Xwlpj7E7QnNL QX/i8c6wO0HKeQ3PWQppjd/NQvddB1kNeQ2SYewz6DWQvZA9/n4fxvMhFUJY I4aIJeKFmCP2iCPihvhpBfsmSKUQjogtYoy4I56IK2KT+CMOme+bnHvEDfE0 yDmRyxHijJhgjhI36zPlNnFDPDHniTNiiBggzoitYd6LOZ7LdebmWH9jbo72 msez4zijLvS+o/2twGO5vbgH8/497zPceVHseBf67jyP+cXcme3fU5xXRc4F 5gSxMtHnjfX33DfmzQz7g7mfw9BU78X7TfR3rpnlNbm8n+/1c33HHJZy2Jrt uVs9Ps3nP+W9cljKYWue96Is8ps5tti/Bzum9Cvzjvm3zH7hb+Z9M+flUu+9 xOuLPZabx3XEwL89Z4HPKPG8NqGc/hj2jSEM7MqElRUnrKdNzBAPzPlVmbid 9YF1ghha6TkdQrj6FHa7EPZ2ZsJ0ie/ZyZggdvKd78QO822D84UYeh3yz0zY Ip44f1+m+jDIPmLeDvWajfYfaxvrzQh/Y54zZ5nXxADzrUkoZozXau/Psw5n 4mXmzleZcpTz/5epfjDvjmSqWzPsz7mO4dFM3DrnhPOG+83zHKtjmXhwoWNQ 7D3IDzXMESdDf2+f/ZCJcxmHHzNxHP3M7x/bp1Uw/3PoLpDTQxy6xD7YZ18t 8X68CxsB8iBjtsb+pW/vxvhuj9HHX3htc8eQOXcq7BSKzx8d5xX23x778E7n 0Urf9wffn/5mnSJOmOMHHEPG55B9xhjudxzp+/9m4ojNjitjWsN8Sg5d7zjR zx/avwudFwcd/y2OX5F9f9QxIi6+tW+Yd+TKAsf2sHNgm31d4tgecdwZk+8y 4aw07hKuATscJ8aoTKge0De/CNUq1qnbQmsyY+4U1x76PjMW6Ev6mRio5hrX x7HiWescL2JnLezG3qeU9y3t+zDfTwv5ievKeC3jU8q45fczPGevY8zztzsX 6QPufabv2dFv6eJY/ToUT/rv3FAMWUPLQ/7h3KrgdxFr5Yx91r/q7i8r+y2v wP5ZKC6MD2toRY9XNG9wT9ZKrnk1012q+D7lXbdXOb9+E8dz4bdxPNfOD+GT 78mzHxhjcutS5/45obyg76s5duzpyBmsGazZrOV8BzHSwjhhzWZd72Z9kWs8 517ovGV9r+0aX9v1vr9znfWMtayH53X3GPtC9pPcr5bXsg9gf8C5dUL9AXmZ fTc5upfvWtdrLw3NH+DvV3g+xy71HTjGb+zbuZ578pybQ/0JfX5tqP8jlnmv q7w/eZU+mp4Ju/VCb2oEfY3nUNe3/ftQnBfYt/W9lntfB3km0zx+4zt4HnsC 1t1vfA+OkfeuN/fVs6/GeP8G3qeS77/WezT0OPF9Q4hP+dY69s+toTfzvVx3 i9eyVjY21nivJs6J221Ptx/4e6vP4j34xqa2n/Hdmvr95EzW0ZedS8zDFzLl VHPbzJ2aziVyL+v0S85ZziE/c4zfVnhOyzjO0dyfvNTSc17y2J3O/7ts8w5c 09773BPimrX2Qyv7pJLHiWv6jr1EDkOtfWfmRSPHurLX5tZx391+O8/e5T3a eC17h3Yn3LO970bdwTbf29ZzyMesAeTknC/Yw+z0XsuN5XtDnENNLiNv1MTf xRck4Zz8wR6FHNUSY1NCNaQL7MWhmvZX2Iucb81gTwrVqGPQ3zqXmmL8tiQ8 3Qp9c1Ju3QR9XRLeroaum4Tpa6HrJ/HBBOg1IQxNgr0+lO/dYD8bqjN/gr0w VIueZEyT/P0035WEH/JhZ7/pVcihENcv5R1DvrkEc2sl1dVO0HNCdbI17Omh etgO9sxQDbwP9ryQr6/gO5Jy8wnoN0PcPQ32B6Ga05s5n8Qna2G3SKrHBdA/ Ou5DYOcl5cOs0Hk8awB0/yTMzQjdifd5EPqhJMyvY94m1ezikF/ok/mhu/Ke c/02vms17JOSeiP+L6RMUm8xEHp5CPMZ7LGhPug02OND/dQRxiHUm8zg3qE6 /RVxHKqhHZ1jzLVCSL8kvFAfMHY6OS6sZUtCufX/Xon4TsLKc6F4M9ase/nG Gusg62IFY4njrI/jMff+UC+4MuRT+nMm9Muh2v4w9P5QLfuI54b6p0egayT/ jQq9KdS38X37/MbPIYPNA90x551Qr3N6kk/pz53Qn4R6iq6Q2kn1rk1SnBij ozzfud0DumFS3ekO+6qkutYLduOk2tQT9o1JnNwe+vVQH3Y/7A2hnu+OpNxi Xu2FHmR+6IzxN0I9Xzfoy5P488/QG0OcMRT2pyHe/gx6QIh/djEWIa7uhTnf GU8DIT2TeoztsIeFepZl5IYQd26DHhr638xWyNeh/ulRrPs+FMN8x5GxY+6v CMXrBd4/qd70TcoJ5sNbofvxbsTue8Yvz3zf537JnIL8HPJiCGPEV5FzlPl5 ELok1Ps8H/pNm3nxgHOD/uhjn2wJ+ZT+3A39WIhv3w39pj0KekeoT9wD2Rzq q/qFeIGcQGGdZr99F8ZaJdX7ytBVknq1itAVkv7/dwb0mUk9ZTno8km95uQQ 55JvmyTlCvOkLOyzkv4XOBK6dxK+GLcRSbG7JynefBfzt2tSDvO+PZLuPMLr uXY0eSjUC4wiPpLidS7PSeopR/obxxnbwqT4Tg3VD9YO1oHbXQvOgT476f+X rDnVXXcOM39DfyuMC3EQ+edk6FOS+tG/QT+c1K+wzrwdqjWnYqx00v9WyVul vPaaJFwRU8Qc6wpxd0sSrogp1qIbXI/O45uS+uPrk/BJbFal75P+F3s+ddL/ YqslcQpzZkKIK8mTrHWNkuoda9Fw16MEHUn/630lxFnkK9afi5NqEDnpwiRe Ym2sl1Qfh4Q4l1w0jvyc9LcU+aBtEicUhGoP6w75kTzLOK4K8SA58MokLiAP sN42SKq5Y5I4jvw2McT15HnyxANJXHFREleSJ4clcQT5gXgtMmbJnX9J4s++ ofrN2n039LRQ/0veyk/irsuSuJI8Sa7qkMRXrKt1kmrrTwuBRi8= "]], Polygon[CompressedData[" 1:eJwtlnuQ11MYxn/OOaViKyVJ9xtJQ0izuW0SrUhjicWsbDOMlN0M45KttiK6 SURSiXLPJffcM4MRIaVCiUqTS6FSSsjnmef88fQ+z3nPt+/3vOd539+2H1Jd VhUKhcIUkMAA/jkPjGOxZywUJsBngHPhAawB49FnE/uD0+GngTHs745+B9wD GoCfWRtB3AgOAivQ04h3gAjqK/LstcRfybUk3pe8Rzm98yNwqd5BLI3eeyC6 VX7meeIkrYH16JPI9QTd0KPR9xMPRm+FLwO94MXJuWPJnQPvD3pEn7kevC74 NPgd0+B3E+tpLzgZfUryszrz0fAu4DZ4l3z2O0HKNVgL1oEd5JeCrfpu8HHw nt/1THIt32ftLuIosAdeh9iX3FngBPhY1l7Xd2ot+g5K4L2Ta19L/kx4n2Su Zz4AD4Fe4E/W6pMbBt8Gb018BfwECmATa7cT57KnXHeJPgx+nb4T3p44FOwG TaPPfAj54fDf4G3zXdSCf4PvpCX5KuIf6I7Eduhq4nZ0Z+JE1RHsQ9clPggu YM9O9FfgLfS72UtFxK7kjkmudU1wLbeBhrmmm1RH0Ch7rpS9/ZJrpzvuAT8R jAr2SHf48aBr9Nr58IHJ3h+PnkO8GL0Lvgp8E/1NRdnDy8BCeSyfYQJxHvsv I36IPk5eSf5WveNC+Gz5CBSDmegFxK/JD5Bn0VOzF1oQ9+veWetL3MzaSHkN NEe/h36ReBN6P3wDqNHZkp9dgr4FfitopjoGe2cxvF+0h+ajvyAuJldBvBc9 PfnbtWcneDV7ozFxl3wEmmQPjANz2D9IdQn2ms5YnD13BPxwvYNcB3Q3+Ezi yuCeuFy1AvPgp7K+QbWIfpd67gVwA/n/yP8AapN7Ur2omnROnjGaLUdFe/FQ 1tplT14P/xv+vXqDuBQ8BnrnHtNdvQ3fEnxnFyXPnNJ8R8+CYaz9Q35dcG+8 ke+iPJ/9NeKPwTWYhX6GuBY9kDgb/TJxI7pM70avyr1VSaxWfyXPrj7ZS1XJ XJ6aBJ8IFpI/A70AviLXerC8BipY241eDR5FX4n+C74muBdHJJ9dPTkE/nj0 /1UCngLXqEbkvgVPoK9C75XXg+96uu4x33kzck3B58E1Hp3PrLPqGzvAj0y+ iy/Ry7PHKvIdNIQ3SZ4Vn6GHwp+OfrdqPBk9OXtbnp2KnpK9LM/vAXujZ5k8 dAD5lPzb8Unw7G6QPNs0w/WtzZNnl775ZvhL0b2imbcy13RwvqPV+Y4q853e CF8U7T31mGqxBPwSXJPt6pno2a6ZI6+3Sp518nxrvTt51i0Pnr2N0G2iZ/Bw +HPR3pLHy9CzomefZo5mZUfVNHpmalZ8F/3boJnRKbnmqrX2PAzKk3tJv5lj swfLco9rlrdI7kXNdHl1ffTslWdromeSZpF6Ur0iz5TkntEsb4PuFD3Tr4Y/ Ge0Veahx8h3rbnXGIvgD0b+9mumV6PnR3pTHLkHPjZ6t8nAd9Ix8l/rNbptc Q9VO77wC/ki01+XxN6P/Rgm5h/8HMvYazw== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXncl1Maxt/qPedJi9a3oj2SociSneyRLamIosLYs2VfxlhmMBjExFhn se9bKIWS0q4SaZEtiUop7ZnrO/f1+/z643rv85z9Oee+r+t+fm/bQRf3HFy9 oqLiKf2pIbs6VVRMFjoJDwpPV1ZUvCT8W+VzhAOEp4RzhQOF/XhW+4vClbmi YlBRUXGZ6oYJz6juZeEulf8m/FF4RHhOda8KD6v8rOwrwjMqnyccJKwVnhBe UP1zsucLXYUP9fy28A570vOFwiHCK8JFwqHC3cKbah8lvKDyBcLBwmvC4cJh wujK6POWMMbzvSu877rhwkfCCGGk8IHrWPsxjX9e9jVhrMfRb6PqNwhHCJ94 LsZNFz4Wxguf2k4wRrvfeO+X54kex7tOE8Z5/GTvlTUnuZ3nGZ6LNWfaMsc8 r0f7fFvaZ3uuKcIcYarX+UqYJXxmTHK/arrTCmGN2ye67UuP4/0WeG7a57qO tdeneC/23y3FWl8IC70Ge9mUou4boVB5vewG4Tvvj3W+t2XupcLX7v+t56Pf Irfz3j/Y8t5L/G6s2T3F2J+FxW5n78u2mG+5Lev/Ysv66zyO9Vd6Pdb51Zb5 Vgs/es0VHrfIdQu8j1XuS90mr0Hf9Z57md9/mffC2bPuWqF6jvs4Vu9xZArf 4Ew3ui9z/a76zcLRQrUU67Gve1PcYQ3ZWinW3sz8Kd6BfpXuw1opheW9a6bY E+tslcIyPqdoZ++1U8z3u1AnhWXuuikse2mSYi7mqC9UT7GfBras3yjF2sx9 nPvU89wrfPYN3Td5nZW+h6aem/drZsu+qlL4Fms39tw8EwPEE7G+jfuy921t 2Xsb7481O3he+u5oS9/Wfh/6tfJ+eW7rcbzTDin2x/jtvA/21c7tPA8RThSa C1cIPYUWwg3CqcL2wo3CaUJ74Wqht9e/VjjZa15knoOXrpLt5X219x2wjyuF k4SWwnXCKd7Ln4R+3u/1Ql/vF66FX+G7a2T7+GzuScG571XG/qq8xhnC6T6n LJ/tKNtZmCRMTGV9QTfQj5rqUwgDVbeHsIuwq7CnLWP3cRt1M4UZQhdhmjBV 2I071xzjZYem0CC0Cw1Dd9AZ9AadQU/gdLRmf+H1ytAj9ArdqtQ8NYQBKbQI vof3b1K5v30BLUDH0DO0ET1EV9ArNAe9QH/QKDQGzUTf0Bi0EC19w7yyznHH eHRg1BbcBwcxF5yPNqAZ8PwEP0/08/At2t+yZS7WHuPxoz0OzRlh3y/p2Ngt +k3yvDxP9jOAt2e5braf4Xc4f5rnRmvg/xP0flvbh8e5farfbbzHseYUz1fS MMYflUIzPvc+Zrltms9lTmVZU6f7mXOCu9Hh9V6TtrkewxxwMFxc0gn4GR1Y 7OeZbi9p5nz35T0Xevxcj+NuvvCa6Ae8i5597Tl+9LyMWeLnkmasdNsqPzMe zl9aWdYeOL2lz7Ce511qf5nqd2b9Y1Jo20/e0wqPZ73VXmOR11zhM5vn9yhp HmvvrTl2d4yxDryOX55mDiK+mRfu3+i5NvuZfvAqnLzc7Ru85u/ux3uiBTyj M3A4vF/SG57ZK1pBP9aHp5n3vhQahh4wL1xeeAwcC/eyDzgfDWA9+LxWKmtS 7VTWpDqeq77PtqZ5q8rv0MjzsnZjP5e0ijElLSzto8r9qGvqud5Pwa19U1lX 0IweKWKjucfAr+28P9qb+c5bOnbYXys/syc4vo331M7P7Km1+1X5rrbzPtr7 mX3t4Of3UuhHn1TWMzjtbfgphQ69m0KHTvKeOnj88Sm0mT2+k0K3eqay7rLO qBQ6gSaNTqFPaMzIFJqEbo1IoUPoE98RZ6bQgg9SaA+aNzaFJsG5H6XgX3QF bobj0ZVBKXQDzUBD0Bs0A53p7D604df4d0lXeJ7qcme3EQN7uW0fP89wmX5n ea/o1tY5OBzOBvA/vAvgefgYoDXwN0AX4OPbZC9OwXFwL9oKHwO0e6Tt4S4P TvFtAacxjvwPDmicYw54oIH9Aj+4JEUOCGds77P8vz/k4Ao4pIHK9YU39PxX 4dIt7hWL393i+6bu9hTfdiXfxeKft6bwaeqGC5fbf1rYL6hvaT+irpXvvKX3 2tt17L2P69rad6hrZ99p63fo67oPU/BSKR/C8q74aD/XdbDvULejfYe62tZ2 fOMvPq/u9pOB9hHygrNT5AbkLVNS5Bjc87mpfM/n+a67+U65F/ziHPsG939+ Kt//BfYB7nCw7/Rz1vF48oUL7RfdvTfu8TjfUXWf/WW+l4XCVyni6kthTirH 5BCfP2d/hc//RN8R9fgd+SJ+N092rvt9J3ybIoZ7e27u6Bv2koI7uMMrfY8L hPl+vjlFfkNu08d9udN6OWKGfHGx8EMq8+N1vtNfhOUpYp47v9b3vkT4MZV5 4Xr7wjJhaYq8uJ8t9/6z8JP9o7/nwwdWCitSmUdusj/8WbhD2MnneovPlnO6 1Wd1jH2FO/nVY+h/ss8JXyVvIbbxhUXC934HOOrOFL7F+dzlMyJubvd9EmfE Ifdc+g5EAxv6zMib8J0X7SP4AZqILt2fQiOpI98lt4ZLt3J8048yfX6rDD+6 3/0/Fh4Q/pAif37A74Ud6vp/pJjzJc/NMxxIrjwslXPsR1Pk2dQ95P7k3OTW z9j+M0WeTfswlzt6rU5uf9jz8BsQ+Te5NyDnJt9+PEWZvJw1WbuUi1NmTfzt HvshfR93n7+nqOebBfsf9yFe/5sivolD4vFI39O/UsQ0cf90Ksf9synim3h9 OZXj6dUU/E3cP58i7t9McRec/70urzEP08Z3PTqEbsEzfEONS+GnnM14n88q YYLvCK2Gc4npJ1OcFXw1wf13ct2TPivmnuT5J7vcyaCto8d94jp4Cl+Di67W Ps8sIiYYP9X7ba+6fjn8iJyH2CaeiVFilvjeSX3OyrEmmk6cE5MdVD8gx347 q3yeyrM8Hn6AAy5V3bocXEl8E+9w/ZgU8X+j54I34AB0gfi/wYAH4AzyiiXe F+9xTY53gQPghP6es8Ql+H8t5xnoRR1rBvlFbX/T1nF55xSaQRtnQh5S17lI J611jux0ny1zci8D3Y9x5DYrvZdbVHdzDp4gXonbe923pteq6+/lne1H9MGv yLXgHTjnYdVtm0PDBmgPF+bIX+qqXKeI/K62bK0i8rgGsvWLyNGqZBsXkce1 lW1TxL3Vk926iNytqWyTItZsJNuwiLyyldYZnSN+T1Hd7jm4bV2K721i+iTV 9SqCL1vg/zm4oqXsuzk4obns7Tl4pqX6tijibpvLblvEfW4j26wIv3tMfSuL OLPWsq2KuM/tZNsVccZ72m/53eAV9W+WI++sofbdfIZJ5VxEbFWTPdm/uVWo XL2IWN1KtmYR+XIb/DdHfNW1P3DvzLFnjnl6y27OkZP1kr3M5T3oI3yRIqfl dwf4dqifKfNdye96fAujpegvmsw9of1XGeQAaDL6Qz4Bh30mzBb2TXFn6DQa PdNt1KNdaD1ajfaTA5A7kG/yLU1+gq/Mczu+Qp4xxCDfgH/QRt7jEq9BPkDe sSZFTHPmxAC/15T4Y5rrn7BvwF3kWb+5DzzE/yTgIvQZ7iN2PvW8jG2UY5/w Of76nd8JXyRf4czI32f4fdfaF/f3OtO9FnNs9DzTvEYX732myzNc3neLZ3yq j/bQp4gcgVyN3wH4pud3CPR7lHNC8h+0pipH7k4/ftNt6t/ZQRP/5kueQZnv +trmk53tD1Ue29S/CdNngH2mo9s322eO9hj21dTzl37Tx/L9Xd/zUIet7jmb eG+U4cNfff53+13e9HdQPb8XXFTf82AbOHaImQbORTgP7qykv/Wc31Tz98ix vgv6cH7kUpwV70JdQ9fzv6arcuRrd3te5hyo+ity5DiMq/LYTX7mW2mc74bf oPrm4Ck4Ct4kZyOnuygHb8KZA1XesQh/7K/ytdaC92VH5shZPpL9IEc+Amdc 7nf5RHZcjvzjeNkHc/w/7GKs+Xmx7A85/md1Bnyfw9+Ze5Tnhz96mTeGyt6X I6fcj/2bu46WPaEI3uiu8iD7zLmyuxTh08fCrzm+Y4+THZYjFvaX7VJEPL/G XeXI89CNV60dZzNfETH6dg7uhrdHyA7PkdO9lWM8Y/uq7x458txHZR/JkX8N zrE2634vuyhHnvR6Dt6H87+V/SbH/wAXyM7P8X9CzniMz/m9HJqBXnyYQ3vQ nY9lW+fI99CZTjm0hnsY77uYKDs5R240Gx/Jkf/NlJ2R43+ek3LwO9x+guys HPniXNl5OXLB6bKf5sgR18v2zJE3zsHXcvy/9NYcmsce1nBXOf4n2UP2khxc u1T25xz/21wo+3WO/HIJ8Zcj7z9Rdq37c28P+Qy5z2N8p7T3cJ9Vsqtz5KNt Zafk4Njlsr/kyFlXyq7I8X/UqTnOhTPhPt/xnd6ZYzxj78gRG/gDmrmffe/U HPfNXfeT7S8k1XUW9s3BIaepbq8c307cz1jf0S6y++SI0+ty9KMPc5yeY569 c/g0/tyjiLyTnJM4uN+x0CVHDOD/t+XgZTj5fNnditA8eHpX15+ZI56J5UNl Dysi79yQI+8k5zyQ/RehZwewjyI0sqvKBxahxwer3LUIHT2IOylCjw9R+ZAi OOUw7qSInPgI9llELjskB2fBV0epvH0ReX83YqSI3PRI9ltEjrtR5U05vk8O l+1WRI77PzqnLyQ= "]], Polygon[CompressedData[" 1:eJwtlnW0V0UUhX/imxlU7ASTUEFSaelGxQc8RCSkG30g2IWAHVjIQkUlFBFR 6ZKQEHABAoISCtKthMTCWPpt9/tjr7v3nblzZ87M7HMKd+6bk5svk8nMAFmg R8xkSqVMZnXIZNaAYegioDv8FfAU/Ebal8OPg5PokqA+fDJoD38SDIIHns3p +0Se/gN0hnfgXQF9h+7HswX6b3gDcA86g56msZnQZvRW8Cm6JtgP/w18Aa+j MeGnov9dD+yC7wOfw2uDrvASjLcCvhL8it4JPoPXAs/DW4Ns+BDwOLwN/bN4 dkS/z/M9MBT+OugPb0n7v/DbwO/oY+AreF3QEX4D7cuCY/SCxgPN4M+Cp+Ht ac/PsxN6NM9z0bPhLUBR9BAwGD6V9bfTWsEw9FKwQ/EHvYPX8AO8GOgBHwM2 wq8HPeGfgInwooy/RHsD9qKLgz7BMTqk+ID7gmPaC16W/uvg68E76L6gW97+ j4VfSPvX8JZgFPoc9Cx4DjiKvgncHxyTUvCR0bGby3rGwM+n/xz0XeBj9MXo ufC7NWf0peh58FZgi+IJegWfgQnwa2lfBG8HBup/yXt7AqxGr4uORXUwAN6K 9nw8m6Cf4Vk6+Wyf1JrQL4MpWV5jou1R9AD4DO05/GHQH/4iKAjPoc9pxY9v xqEvR8/X2dUc0QXRC+Ct1QddGL0Yfq/2DH01eiG8LRiPvhL9DbwNGIp+EDyg swM+hH8A3oS/BarCnwN3wA/y/4/gZ/H9THRz8Ej0mdZZ/n/O8JdAV50F+peF v6Y+wWM8Fn1GdTa15lui56B/606Uj46B1q4zPBg+HLwafEa7w99WDHW3QWm1 aY7wxqBQtIfo7Ci+I+Dv5p2naiCLuZ+ZfNe1xoei16y1KgZTtTfRcx+uOeuu gS7wW0Gj5BgqdgflIcl7oNjvB7ejG8gzdFd1Z5P3QLHXu2x0I/RR+LFg7+qg mAV7ViHaG4IDwXt0FbwxOBS8h7PoO1N3lPmNCG6rHz0X9ZkGnx49d/WpolhH x2YD+h/4n6AheorWl3zGdbYPa8+jPUNeoRjnwP8CucHfLId/p5jBJzPeIvhC xQg+knfz4QvkYcHvVsJXRPcdpTnAfwQ1dBeDveSnaC5PWR/tSfKisei10XdM d2s0WAxfEv2vSfRZBf8+emzdKXln0+hv5aHKJWuiv1VOWQZfGv2t1vBLtOfL 68eBefC54Mssr0FesA2MD/aE7dGeLi/XO3njbjAh2CNnw+dE743G2BOdI5Qb 1EdnOTvvfOpMH4zOMcotE4O97LjmF+xp8srDmk+wZ8pLD0T3laceic4JygXq Iy/+OXot8uQT0TlLuUpjDoKXS/baU6CJzlv03h8JPnv1os+yzmAF5R50P/hG UDHZA3T3N4Eq6Or6p2IZfNfLJ/fVna8ErxbddzM4O/mduDw8H/yMZK9UDq4O r6kYw7eBtjq74Ft4B/mFcnf02d0A8qMDmB7sSRWiPVVeqneVk3OGcoXmWDU5 Byr3bdGdRteI5lvBecnvxJUzVJv0pH1tcI0yCd4k2gvkcYpNy+jcrBidVmyi awvdmQuS16S1KIepNuhG+6rgGqFYcs5UrtQaCyTHVLFUjlZu76Q7F5zj5XWK gdYuz1Pu7K07FZxDb0b30Z0KfndNsifJi5TDlEtyo71QOaVM8pnQWdAaL0HX BruCc+Jl8LpgT3DOqZOcM5Urd4NayTlVuXRn8Le1o7nGqImuhd4O3wFqJOd0 5XK9u0L+BfYF5zD9q0702PpnveScp1y3F1yUPKbGUg7Xt3Wj2zTGdclnWmdZ OfDO5JyoXCjPrZZcE6gW0BlTraOaUbWiap43omtO1Zry5Ka0NUuuhUqAksk5 Xblce1g8uSZQLaA9Um2pGkS1h2pM1W5lor1XNZxq0S7RtZ5qUtV+FaPHVg2o 2qFcdK5VDVFJ3pxc2yo/qJarHF3LqqYrkpxTlEtUc8lbN0XXYvLY/wDWZZGM "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt0kk7V2EYwOEjY4aFhYWFhYVFuxa+RFsfwQfgcygyJ1QUFWWozGUMSWk0 JFMlZCiVMia6/5cW9/V7zuY553rfk5qZnZEVFgRBMWcJzZGcJoFEkkgmhVTS OEM6ufzhkFGiLMjTaP2rRzwjxvPF0F49Dk5e9DwUzddT+kRjtVMjtF7D9Y6O hb7LfFcHGWKYPh7zkAF66aeAR3TxlDpGuE0PHRxwiz1usk87u9SyTQ07tPGb G2xxnV+08pNqvlPFD1rY5Bpfuco3HrDBFdaoZJ37rFLBCuV84R7LXOYzZSzR zCKX+Egpn2jiAyXM/7/XBRrppogGCol3nnFcMM8yxzQzvOc8k0zxlgnGyeE1 b3jBK17yjnPByX/0D/PYX4I= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{270, 269, 273, 545, 536, 537, 535, 539, 538, 471, 541, 542, 540, 544, 543, 472, 547, 548, 546, 550, 549, 473, 516, 595, 505, 534, 491, 532, 490, 533, 470, 272, 271, 270}], Line[CompressedData[" 1:eJwl0llTz1EAx+HfP4NE+ytouohK0r5IWkV7aC/KEtJilEqbcukVeF9dqRAJ M6RUMpI8jYtnPud8b89J6B1qGgwFQfCKBYdEvvKFsrAgiKeUEgb5bB/QOC5R zCM+2fs1losU8ZA1+wON4QKF3OejvU+jKSCfe6za72oUeeRyhw/22xpJDtn0 8t7eo6fIIpNbrNhv6kkyOE837+xdGkE65+jkrb1DT5DGWdp5Y2/TcFJJoZVl e4seJ5kzNLNkv6HHOE0S11m0h+meDutvPaqvdUi/6RHd18f6Ryt0Xcv1u1bq X63SDb2sm3pFD7Raf+hV3dIaDahj271Wd7ReQzTy071Bd7VJf+lLRhjlKWOM M8EzJplimhlmec4c87zgyeF7ce3wH5EZ+v+//gGj8kXo "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{866, 626, 746, 872, 1173, 960, 913, 1012, 1013, 1014, 873, 1006, 881, 1064, 1065, 1063, 1067, 1066, 883, 1070, 1071, 1069, 1073, 1072, 884, 1075, 1076, 1074, 1078, 1077, 885, 1080, 1081, 1079, 1083, 1082, 886, 1085, 1086, 1084, 1088, 1087, 887, 1090, 1091, 1089, 1093, 1092, 888, 1095, 1096, 1094, 1098, 1097, 889, 1100, 1101, 1099, 1103, 1102, 890, 643, 634, 633, 632, 631, 630, 629, 628, 627, 866}], Line[{899, 702, 706, 710, 712, 782, 959, 1005, 1003, 1004, 986, 1184, 903, 912, 957, 1185, 958, 955, 985, 1182, 901, 911, 1171, 1172, 1158, 954, 1024, 1159, 956, 1183, 902, 1002, 1169, 1170, 1156, 952, 1154, 951, 1155, 983, 1168, 1007, 1151, 909, 1150, 1022, 1149, 1148, 1166, 908, 1165, 1021, 1147, 1146, 1164, 907, 1163, 1020, 1145, 1144, 899}], Line[CompressedData[" 1:eJwl09lTjQEYwOGvOmRL2QlpwZU/hpJ9DaVOu+3CbjSjLpixpFUke8k+41L2 yBpjRva1O8sFcsHzTRe/ed73nW/ONnPSckoyi2OCIOjS/rggGBAJgg4O4wEO ZTUTeJ2zWMOZrGUmb3IOG5jNRs7lbS5mExfxMJfwDpfxCJeymcvZyVU8zpU8 wVze42qeZB5PMZ9djLKVBWxjIR9wDdtZznNcy8dcz/NcxwvcwG5+1SV902X9 1Au9027t8dw2bdc/ewWvspE72atnarE/51tdUYN9B7/oiY7an/KNLqo+fE1+ 1kM12x/xr/pUZi8N39tcpbMqspeoWGfs91Vn3spKvdZp1bpt4afwbq7SCh2z 57CFd1Vj3sxdehV+Rh1028SP4d28QAs1T4fc5vMWZ7OeWazjDVWbN/KPfutX +Hqa4V7OHr3UD+3Vd13TB71XqaZ5drrSNVUZ4Xd2T2WaJmuKUsLfwX0iJ2m8 kjVBRe5jOU6jNEajVeg+giM1XElKVNR9MIdooAYpXgXucYwoRvvssZH+/8t/ mj5ujw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1EN0HWEAhuFJm9puU6a27TZJbWNRbWt3W7ub2vapbdu2bVvPnC6evP83 9+acO0km0V17tegZEQRBYV+WRgbBErolCILMCYNgLQ1ZQyPW0Z3OiYKgh45h NFnZwEbWs5lNZGMr29jCDraTnV3sZid72UMO9nOAfRziIDk5wlEOc5xj5OIk pzjBGU4TzVjG0YspNGEqQxlGHi7RlJnMYjZFaen+emszvtGc7/ThJy34wW9+ Udr7x2sxWjm31OFUpDitXesbvsafcPOXsq6XYYJzCdo4t9ERVKIkbV3rF5YI 53gEtLMrU4r4diRznOcygC52f50Yfj7a2e11JIPoag/USZShvd1BRzGEbvZg TaRlNaEmIDFJmOdaOa2i5TUpyZhvV9Cq4f1rclKwILwnrRZ+bk1JKhbaVbS6 VtXUpGGRXU1raHVNSzoW2zW0ptbU9GRgiV1La2ltzUgmltoxWltjNTNZWGbH aYzW0Siystyuq7FaT7ORnRV2fY3TBpqDnKy0G2odbaS5iGaV3Vjrhn97mps8 rLbzaj3tSCfPWkGiSEEEnz2DL7jHFU5ziJ3Eer2I7/vCVz7ymU8U5j0feMM7 3lKIV7zmOS95QUGe8oxHPOExBXjAQ+5yn3vk5zZ3uMEtbpKPa1znMle5Et4n F7jIWc5zjtxMJooZTGda+POiZ/h8hb8jXeV+V7KC5SyL/P8/6h9YT5Ol "]], Line[{1378, 1326, 1330, 1334, 1335, 1336, 1337, 1494, 1643, 1841, 1642, 1839, 1641, 1840, 1665, 1838, 1640, 1836, 1639, 1837, 1664, 1835, 1637, 1833, 1636, 1834, 1663, 1832, 1633, 1830, 1632, 1831, 1661, 1680, 1631, 1660, 1630, 1885, 1884, 1590, 1883, 1659, 1873, 1709, 1628, 1829, 1872, 1871, 1609, 1589, 1882, 1658, 1629, 1635, 1887, 1634, 1610, 1591, 1886, 1662, 1682, 1681, 1683, 1638, 1378}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.95 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(0.95 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVde2uNGoWGOPHSEqsYBYUWwbewkQ7DUaUbC3iB3Fhj0WUGO7xoK9 YddYjhVRAQFBQJAOAsKh25WXN8b55n5jOzJ8vps7fvf9Xv464xtzzbXmPHvV uefaZk7T+jkXNTIyam1sZPSfv4sXfGxq4hGlG317me7HDj5Kt+tTw3wGPhYu X/T6qxV2vsJDTOZXOn3hkDD6w3o+i7rR+Zbow+jD6MPoFzvxOryfs7/ow+jD 6MPoDy5VeuLP3R6LPow+jD6MvsXVauPbD4oQfRh9GH0Y/SLTGrgUG/9M9GH0 YfRh9F9srHEmpUO86MPow+jD6A+caNr84d1E0YfRh9GH0dd1/c7nlEOK6MPo w+jD6Deq09Rqc3iq6MPow+jD6Hu9bHVy7k8vRB9GH0YfRv/Do/aWP6Zlij6M Pow+nLDLeum4KeG6mNl7y1mN2abY6ez75i8IFKZ++MDqER1atrsq3OrE6kMl v/ZUznTQTX5kmSXtI6d9mPZhtw0TFw4d9YuuulnG0kYDDyrN1+2I6DIvUmdx 8uhAi+nTFa8TIU3WjQ4TLggs7R7WO1j4ZJyHd8exD4SlPxt4Rr2XfYJa3RIe 7++fcLf0OWH8Kd3otytZo34X+2Dss5696Zq5w3nh2Kjjly/N0Im+1dv0yNX9 74k+TPk7pknDDjy4I7zjcc6QqdH3RT/D6qsXv1wJEn2Y8lNXFA5qow8U3rdr RWMjoxDRv5VQIW1QQJjow5QvO/uXI0mrQoXn/LC54f2K4aK/dYvJ87qxT0Uf pnx8w52HTuyIFLYrus/cs1606E/uZZGcmh0r+jDlL0QdPjD7eIzwxqeDPU/s iBP9PR925QxZkiD6MOV79IwKrhsbL/z27MiKnvUS1ecXvn96x9LJ6vMzMOV9 TBMci41PEh77i/PG2ceTRd/V52iWmddz0YcpX/Nt6qPU7BThQJfJ5Ye3TlXH w+rTU0vUTlf7t4Epv/xxlkPAvDThtrYz1yvX00W/15hLmeneGaIPU15//GXA 6aIq76sxv1z9nplK5b5JJWKdjyhDVnyw27pWL+MZfZjxzvhGDiPHHpj2WO9g 1i+Y9QhmfYFZL2Dmf5j5HGZ+hplvYeZPmPkQxn7mJ/4fsccw/pmvfFfqMtzt kjsxX8E8D5jy14PzfIa76GV+gykPu91ccXuubXin8ssjzugnrhF+OvDFTzP9 9gqHRm0KXLL5orDt7OOHf2xyTXhz/7GJIZl3hR/smRFke9lPeHe0btqZkkHC 7Zb1cJkwNVjYdUPAlAU1w4QrWA8Y22LxE+FeXaImdbN4KpyUOtrp3aYoYZOC 1AnlOsUKPwto0yyhb5zwm/7vWr74LkG456FOp3yfqjzGsujZRz5JwqcXd296 bEyycECJUi3O2TwXrjXM7sSGDJXbxJU/ve1WmrBHy/4WrrPShfde/qbZwu8z hLPKDjs25KPKZbzqnBodqj6PoSk/Ne64MktptXlBsXl1kq/LemSQS383sPR3 A0t/N7D0dwNLfzew9HcDS383sPR3A0t/N7D0dwNLfzewtr8X3K/2etp/6X+D MzK8Y+OPKlt+ViaYWG3VIX8f2bikTe8jsn6jv7GW1xWv81kyf9D/HcpeTZ+Q GKlrdm9tL93APZ2qlJ3nW6u8yrMtT9dwfhUq7GOZ3/HswzBh5hvqq/SDxab3 Z4NFHuGQNvlkbJDwz3FdFmdtuC+cHufnt7btQ2HWe5j5i/qP17OZZlLqtsit 6501X/rTTWH9wx47GjmdEU7w79fE6ex5YfqH7AcM/+e2CpuOPzQ+qz6vPYOS S0XfkP4k679BXpA5JmTOodvCE0r8HL+z8IGUl/XeIP+tv3tgqYcBwqUv+Oq3 bgqR8rK+G+TeI+yT7V+p/S9mfGjGqP3hUl7Wc4N8fvnhid+UihQ+VyshveH5 aCkv67dB7nBrfHxszRjh7s/n5M9NjJPysl4b5JvaXZk2YKvav0/dWDTzx8mJ Ul7WZ4P8XeVb+rZ11fmhxg6P3M4FyVJe1mOD3DnTb0qdw+r4WDZz3QzzRanq eGb9Ncgf+T7KKNJcnT8y7byySxu/kPKy3hrkNnueTEq5rI6vweY7pmVtyFQW uzSK/rXBCRlfvj3KvBxU9bTSoJGp+YIEvXKw/W/NzQ8eEDnjh/UgpmnXPJuc SBl/y9Nyrn1fROWU0o0rbkkLFbZ1XNBjWWSYMOOH+vbNOLvd/2awyHtZOI2N CQ4S7rez1bQfXO8LlzYPj2wy4KEw4wdm/FC///iei6/Xvy3yb2K8qyZ0uyl8 pnPjuWmNzwibDJ5mvy/9vE47/zC/sP5q5azPe3oHxNXpt0XG38W17Wzm1Fws fKfcb+fbue1RXKKfnLkwJ0vs7/44rVl630s61meY9RlmfYbR96vrn1C9yUbR h9GH0Yd9k4s8G5FwTjk3wOyJqU22MmLKHrNSQQ+E0/NGpc/4NUzY/HRW11jf Z8LNL+oczN8lCD/asvJddKXnwlNcfzjs1fiFcJn+1Qb26ZIlHLYta7HRiRzh +qv6h0ddyhOeOeei5cU7BcK3XGot9wx6JVxxkPvTKdFvhH/qntisd+o74VOt eq6sn/9BuLDesWeFhYXC+D/hpndVr4U54j+M/zD+w/gP4z+M/zD+w/gP4z+M /zD+w/gP4z+M/zD+w/hv0rThwOK3csV/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h /IfxH8Z/GP9h/Ifx//GOY5vnlMgX/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Ef xn8Y/2H8h/Efxv9VxlahaX0KxH8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Ef xn8Y/2H8h/G/k+uZyiM2vBT/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/ YfyH8R829angt3PPrU/2z1+XSSwYGpWt2FXd1vGKe7DIV4V892vDU5HCCfeG v+6TFSe8+GC9A0WMk4VNPF70vWSSJnx1zNmPU60zhS33XgurdChb2G2jmYX+ TK6wv7vH0vvX84VrTkuL8H7wUnjiSHurxU9eC1+yP+0xPOGtcMmOVaOt9e+F B1vMa1Hp7Udh/g+t/3fmuLT2r5srPDcpzbXT2Dzhpn2nnPM5nC+ceC0779vM AmH+X/qXtn7teouc/gbT32D6G0x/g+lvMP0Npr/B9DeY/gbT32D6G0x/g+lv Wn9Zb2DmX5j5CGZ8Eh8ql7d4XcmgLNnftYnaNcFnxHHZz8Dsz6abRrcwsz0r vH7WkikmNvt07GcpD7MfYn+KHEZO+/BX+zdZP6h4TeIz19dHuPa75Cv89vvx gbrngcI7i7332rr2sbBN4m1b+z/OOXD4zbWZX12JEp61p/+O30Nihdfoftnf tiBeOOJkzpvKRZKEG+4e6JhVNkV49i+XDz6onirs61bnw4H66cJVJi/pv6RZ hvDY4clHRnTQCw89UN+odv1s4SL/GHSsVOMc4cObVw16ZZUr7Lju9yLJrfOE Xy/LOB7SPl94zwKTITc6Fwj3mOn41cmeL4X1E5ee3Gn/Snir07mhq/u/Fu40 LKXYnKFvhJP6VvcZO+qt8LrefYb3c34n3KqzWwnbSe+Fo9uePG0544PwsmZx I2rN+SjcpGGlkqUWFn4Sb+N5c97S7tf/u/E35oOIiuXW79yrl/HPeYXxDzP+ YcY/zPiHGf8w4x9m/MOMf5jxDzP+YcY/zPiHGf8w86s2nhjye5SZ7xsfHexv u3RD6N2Dwh2sK1XbfzJbyifEng2tUDJHOHvflkFV81TeatemyjK7XOGD5Wts XdkmT9ju8u/9CzaqPMxtV9ibBfnCRuadvMaFqVwhrW7VyTcKhC943gyJrPFS mPkdpn98Eo8y9Bfme218SuIphvlR4pWG+RFmfoSZH7XnSe35k/ZlfjTof70i uqvbivPCuwcU+TVoyE7d//V4Gfsh+qtD9ayHmc2vSDzkkmWrvQdzrgvXDG10 1PbwPWGn3iuVsX53hfn/2U/xf69olHsu3FnlrRmPraMdc2S/Rfu7S1TbHvwq QOobsOnyVyfDHwn3OuR98pevQoX1o/vP+63yY2H2a9S3zraW+aAm4SJP8Zg8 vFutCOHlY1uVfNciWrhx3cSQsl2j1HiQYb9HfX4fjrrfHhYr8k1mi54OaRAn HF8hoVmr5gnCLafafNPxcrww+0XqW/LjPyZXv5sociujHivLd0wSds868iy9 V4pwsF2R23lBycLsN6mvbgfnGo+in4s8IKZcK98BqcJ1Ames2ftTuvC0Jven HU1NE2a/Sn3Xalr6euS/EPmka2FxbpMzhK8ct2kzZK5euFzpTbVHG6nMfpf6 jrvNtzEpkS3yEoGBvjW6qHzyrtHPxr1y1OfvejypTFmV2S9T3/tJMRveVMxV y19rUafAXuX358b6JfTPE/YeU6H982oqs9+mPrvhXVJC6+Sr5Y9vnRk0VGU7 bz+T66MKhPP7uW66VU9l9uvUt6PPwQ4+jV6KPHfn2/vHnFXe4WUxa/ukV8Jd ukQ8/4eVyuz3Zb20Ke21tvVrtfzakaYrZ6icvnTjQ9c5b4Q9m3foNK+9ypwX qK9to6lpLp3finzj/FuznRaq3PbnfDPHZe+E40z3bB7QU2XOG9S3qnqI0sX+ vVp+gnlAx9Uqrxo9ZG6TDR+Em1Uo9sKqv8qcV6jvibH11jpDP6rlh66pV2OL yhGOVwNL7CwUXlQ4rnOZUSozH3G+kfV266z83kfV9cdu6ODZDltypTznH1l/ i75peVWv6hv5Pj1/IzJPynM+kvV4mtvMpi1VvtBiZEELkwIpz/kJ+YjowjN7 5qg88bf4VgecXsp+jPlaG7+mfJy746sJZdV4I/s19j8w+x+Y/Q/M/gdm/wOz /4HZ/8Dsf2DsYb+APTD2wNgDYw+MPTD2wNgDY482/sv7QvajMPtRmP0ozH4U Zj8Ksx+FaY/3kbQH0x5MezDtwbQH0x5Me7zvpD2Y9mDag2kPpj2Y9mDa430q 7cG0B9MeTHsw7cG0B9Me72tpD6Y9mPZg2oNpD6Z+3v9SP0z9MPXD1A9TP0z9 vE+mfpj6YeqHqR+mPt5HUx9MfTD1wdQHUx/vs6kPpj6Y+mD0ef+NPow+THne j1MeRs77cvbDnC84j8KcR2HOozD6nD/Qh5FzHmE/pM2fg9k/a+W8f2Z/i5z9 Kcz+UvL3DPtDmP0dzHiAsY/2aJ/32chh5Ly/hnk/DfP+mfaR0z6MnPLo8z4a 5n0z/iFnfGjL874Z5n0y/5dWzvtj/l/KI5f8KZ6HoTzPT5t/xXmW85zEew39 A+Y8BtPftPqchygP0x77E/ojTP/X9i/t+oWc8QUzPmHGO8z/r+1P1E97rC/I YeSsBzDzNcz8Sn+BkTM/wpIvbOgvMHLmK5j5B2Z+gZlPYG3+Lc+L+UPL8n7A 8DyZL3h+zBfEE8mPJf5I/ibxSvIpyYftkHLbY7ZFjuTP5vTreTd1eq7EK8l/ Yz9IfJj82q27PA6cClTnr+9LlUo2q5wn9mj1tfE+7fsKyqOvzSdmPiU/N96q qEvHNdly3iP+wv4Ppj7i1cS7aY/4Mkx8GSa+DBNfhokvw8SXYeLLMPFlmPgy zPOCiS/DPF8Y/9lv4q/kIxvOrxKfMjDlOY8ih5FzvkQOI+e8iBxGzvkPOYyc 8xxyGDnnM+QwcsY36wvrBUx/Jj8aJj+a+Z31gvkK5vmQX0z+Of2Z8QMzPmDG G8x4gck/h+nf2vcFnG+Yn1k/6L/k+8LMN6w3yJlfGP/4z/xG/yQfmvWN9Q9m /qO/k//Mesd6CDM/Mn7Id5b9jGZ9ZP5kPJLfzPNmf8Hzhnm+5M8zn7NfYP2B GV/kq7N+4S/jl3xw1jv8Y/yT7y3ro8Ef5g/yuXnezF/Mb9r5jOfN+yHmr5DC tcExP+o/OV8Sn6V9GHth/IPp7zD/D8z/CzO/yvuWB2UvjBull/Wb8zZyztsw 522Y8zbMeRvmvA1z3oY5b8NGcyP8a79V9wsDXEJa+41Ol/W/2/kyDW+8Sf7k fNPqSGq9x3r1vPIkr2+10tWfy/NeZJEw6FlUmjzfb8adCB46NEP50nxvnpfE i17My3X/0U/Wd8qbDAs9U++nbMVo6qhbIRPU9b5cd+86qQ565V2xVReHLtmr u32jVvzFcXqlbGPjAP+ih5VDju8v99idrnjODjk/43C4Ut5/v8NAlxTFctv6 4DIhcUpgVslSTZvd0z3wiLfNm5SjvK55ucT1EmE6fcbF6q8X5Sr1lvSpZVxH r2RcnbMyzvuMvL/4V+Wn23tOLud3OVNJTb/Yrf7Xvp/NV2+SNXmIz60MZWmH M/qmFkHKw4/eZy/9lKHYrt2yr8edfz6fnf5+bVPGGtuiT5QDvt9eHdBePX+8 c/Z4UuFSmtJvudVySzNV/3+a/854y+6qXxJgFqeUdWl+fmk79XzSeo1Dy4X3 k5QTu417KsP/+Xz5wHzT1kt3xyva/No/y59vWrfSklWToxVtfu2f5dP3qzH3 /djAUEWbX/tn+fXFfJ5fannXT9Yzp8iaA4oVXNd9d3hktMvLbOVkSM3y13sG 6Ty7pYYfeKmen01GGa3PdMhVdjl+0/D8mWA5v7C+xl0ZaW/RMk9xXljm2b6C TJlP2W8S39Tm89e7+mPt9ZPU/efn8vuXGmdV/WiZKecR6n/qYXPJt/yX5/8f 3nW/atPRqXI+Yb3zWee0z/yAet9Ce17JaDrB9pt6av/4s/sC2+zWnQvPjJX1 m/V/95xfX+/3VPsD6/X0D275pS9GyPrN+j+x7EHn8cs/vW8QYzvk2MbTQbJ+ s/4PirnT2frbz99H6HPZPMnfTffJ/qVasbpvuixT7yct1Ht07x6hnoeaGUdf mvif+S5DjDsvnaBXWqQOfnNvi7dSvN/UWLO+8Yqfp6nxkx7JSrueh8z9zaKU 7bu77EgtnqrYLhj5ulajx0pwwbBNN35LV2rnVC3T2POusnHrqa7bamQqxY9P fzDl3QvpL/UsPKM3O2cI6/oXbml594WStMhv+NuvQpVHKzouDu7+QvEMb71y 27EwxbLJ4H/EpT9XSp7xNfl1ZoxSas22GvtmPFesh+d87bEgVilnpd/WsNof 58qbyWXrhycqtavOCnDJjVHGHDxVY8axFKVPkKuXR8tw5W2d1TFWg9OUkmtM f+hQOlBRIurOd4578Um+uTa/vPlqR++wPGfd3DrtK+4onq3YLusY1eDpZaV0 0YRtId/rFV2DDk/WjNqvC6p0r9c+hz/OERdX53uFRuqqzXHt87FYnlL7zduJ EbPCdQdPvEnvfztX8UwOuLhxyFM570W36L65eKldcj6T+3O6JYcL62QrNrrm fQrH65U7xiOGHe2ySBm4M9S0t7Fe/j/tfZNP8sE1+d/ZN/y/+v7GGd3PPVr2 LPlrtlI7ZW9O1renZf9U5b2d13xrvZwXzHrN/X6onV7Zt3e59Zrwfbr3mxxG rLPRS/xqdeKFUcNM9Upc/aVROSnXlXsZLdJOVNcrgW7eC7tUvKE8cTtqXGOv Gs869LpJiX4bMpU2U1aMvW7lp3yTe8S2+1Q1HnWs4rhB5QakKdXb2h+1+qOf sb+rfXtyQJ/4bGXSkFoXB1T5Y1//+lTpeSXO6ej/7F+0942K98v+tdrF4/J/ mTlGzDpY5eAn8xf3dxgv1LdmXxm95YQravn91dxdfr8u/HZ9re171t0TXrp+ i2OxpLvK//R+C+Od9q9/3+DojMqBUp+13bHcclcfCV9aXufgtYLHwouWP10y zUxl5hvqqz1mX1Nzm3CRDxqT3M+1XIRwfucThY0bRAv/3nliVLRjlDDzneQP mbZY5TU+VuS9N7Z7Mt0kTni7+24Lu8YJwgsK3Wo2uBEvzPxLfff1cdON/BNF /nxq0WXfWScJtxnpElm0S4pwjZhu96LCk4WZ76lvXMDhOhcTn4vcw/6BVYx9 qnBYh6YrLg9NF754tayrZ1aaMOcJ6uvXfVd7z1LZIv+p+Ik7BzqpXPJDzDSv bjlq/+gQmOJeXuV5s5xdW/fVKzXrDh0ZnXJOqXg80Nz5j/3owe/Kt1p8SI03 0N6eVkaeU6rmir5PfoVaS/qoPCSji+9UxzzhXhYtOg6vpTLxCOrLrjc2tZdZ vsiNklxnjBik8uGog7X7jCgQ3lZrq5f1dyoTv6C+TpX9OtW3fClyh8cR99o4 qfzyQemZDca/Ek4p/TatYkuViXdQ3/qiFlsK274W+e5bHUwqT1W5x+9T7xu5 vlHHw9sfbTM7qUx8hPqicza8eNrtrcgzTu9x1c9TefORkLrR7u+El6fd3OrX R2XiKdRnEZ/X+YLje5F32Fvs4X0PlZO2Wc++uPaDcGhEg8z9g1Qm/kJ9bkGD t20a8VHkazaONzuwSeUWq3b4e/5aKFzfb3VXdyeVv/Q+XJWxRiPN4zKV+eHH 0lqm3P7i+3HvfRboHfZmSHxosHe5FQ5NMpXF1WLWJS72V1bWrOF4tneG8nJP wqHWdf/19+nst7f2mmv9x36hXcvtlaLDlJ6xXm5OH9KU2WEDjctMjPyX37fr dfWrERm/JUm86978d789PJ6oGB952eLu4ERl3dA+l+JzE5W2VXzb3qv5v/9+ 3v/1+3a7PRxq9P3llu7SytpuuxrkKMMGRVn2TL6iy77XZtH+mGxlZWzxHyze qe+/iac53bGcbe0eoiQmXDoQ1yRR0d6/l3yZjJXVlO43lUOzQ902n1XjkUvW jIu8VlmvTO5651iEw51P4pG7j3zbZ+PIHOX16FZV0gpvSXxybf6G9Zd3JCvf Tnc6MmZbvNI63NvRyzpBKb/1ZN9FG5OUNY0cz2eVe6acO1Gl+LOhz5Wj7V+s d2oepsw9vveXSe/TlLFBvfweP76v3B49M/PZwgzlalptl3ZRD3X1b63wP3Q6 R4nrvC/Nd/YVed9C/DVitFVkk73ZyuTdpjVMJ4frDtUsatz2j/PF7Tnn3AKa PFdyW7/fl2IcpziN+nh05oEQ3eIP9jlV2+cqZ9s2uHTIKlPxrmulXznAX/nB /sLlMvtTlbKdx+eHBEYrc9qadhg8Lk6x2fawt9vbZMXU2LG6e9NIxX3CknFX T6UqJV++jmhaM1jZXmrK8BKd1ffRnF+JP8HEp2DiVzDxLZh4A0y8QxtfJr5I ezDtwbQH0x5MezDtwcQTtfFDmPghTPwQJn4IEz+EiR/CxA9h4ocw9nDexx4Y e2DsgbEHxh4Ye2DsgbEHxh7iC9gDYw+MPTD2wNgDYw+MPTD2wNjD/IA9MPbA 2ANjD4w9MPbA2ANjjzZfh3gK9sHYB2MfjH0w9sHYB2MfjH0w9sHYRzwH+2Ds g7EPxj4Y+2Dsg7EPxj4Y+7T5QsSTsBfGXhh7YeyFsRfGXhh7YeyFsRfGXhh7 WX+wF8ZeGHth7IWxF8ZeGHth7IWxF8Zebb4T8Tbsh7Efxn4Y+2Hsh7Efxn4Y +2Hsh7Efxn5tvhXxP/yB8QfGHxh/YPyB8QfGHxh/YPyB8QfGHxh/tPlgxCfx D8Y/GP9g/IPxD8Y/GP9g/IPxD8Y/GP9g/IPxT5vPRvwUf2H8hfEXxl8Yf2H8 hfEXxl8Yf2H8hfEXxl8Yf2H81X6/Tvv+TJtvx/szysPyvs3A7L+5D4Q+jD6M Pow+94fQh9GH0YfR5/4T+jD6MPow8UTin7yPgIkHyfsNQ7wGJt4CEy+BiXfA xCtg4g0w8QKY56fN/+I8Dmvz/Tj/Em/T5vdxHqU/w8T7OH/S/2HJjzScNyWf zcDEMzlfMr6030fj/RPnS/L5eZ7a+83st2H2w/ivfV+l3S/z/zH+YMYfzPiD GX8w4w9m/MGMP+3z0r7vYj/G85LvdxqeD+shz4P1hf+f+Zn/m/mMeLb2+5Sc 18hXIT+DfBTyMcg3If+CfBLOn5xv+f4h+SB8j5D8H/JhyAch34X8D/JZyPfQ fo+P8yz5Q7w/wV/8I9+H+9SMV+LvPH+Y8nxvkvLE0ygPU578GJ4f8Srme5h8 M+33HOnvMPMtz4v5Bpb73wZ/5f63gZHTH5DDyOk/cr/cwMjpb8hhbb4Ychg5 +Tbk13EfG+Y+Nsx9bJj72DD3sWHuY8Pcx4a5jw1zHxvmPjbMfWyY+9gw97Fh 7mPD3MfW5l/yPVLJzzScZxgv5JfCzNf0F74Hyvjhe5w8T+ZPWL43a3iekh9t YMnHNzxP5DBynidyGDn+IIeRM36Qw/K9S8N6KfFGAyNn/UQOI2c9RQ4jZ31F DiNnvUUOI2f9RQ4jZz1GDiMnP435ivlW7rMZ5jPyf2Hyh5kPWO/Ql/tthvLM f/BB3YNiw8/niT7329CX+26G8kaz19XfPFjl4RYO3QLe5Is+993Ql/tvfG82 ofzYErtUrrA9eJnSSb3/xn6K/s36Rn9mPSNeyP+Fvtw3N7DcNzew3Dc3MPs/ +iv7G/bjMPnB5KOyH+T5kG+qfT68H2e/wvNgfwmTz8rzwX/GM/5SP/ZyPmf9 JN+c9vCf/Fj6C+XxBzntM/6IzzE/k9+MnHgZcuYv5MxPrIcw8x3zGcx+AH32 pzD9gfYor/1+xd/5mv9e+Zqw3F/+//x7IH+WX2ozyOWJ5f+D/NLPfZ9Em3+q zQ/9XP7nl+Zvfmn+pTZ/Upsfqc1//NL8xn/2+yyfy4/83PdbtPmTf/X3XJgf 5Xs/mvynz+VravMzP5d/+bl8Sm3+5OfyIz+XD/m5/McuL4KDQxZ+mt8YV+bd 6abLVJbvQ2jyHcNn2of7z1HfV/7Z90+098XIj/zS79/85fmUn8ln+3fPt/zc 92i035v50nzKz+VL/tXfr/l3z5f80u8rafMr/+p8yL/zG//Ob/w7v/Hv/Mb/ bn6jNl/xS/MPP5cf+KX5e39/r+zv75X9/b2yv79X9mf5oP/bv1/2pfmrn8s/ 1ebH/qvzUbX3m7T3s7Tft/zS/FT5nuqx4b8vL5ip+6vzVbX5v9rvef4H3Gji DA== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwBqwJU/SFib1JiAgAAAN4AAAADAAAAOzYxPTcyQDg0BgECBwIDCgUGaWow FhESQkEETk0QDwoLSkkMEg0OEw4PRkUICwYHDgkKFxITYmEkGxYXcC4qVlUY WlkcIh0eGhUWUlEUIx4fJiEiKiUmKyYnZmUobiouJyIjXl0gcCsvamksMzEB NzQDAQYFAgcGQQcDBQoJBgsKRQsHCQ4NCg8OSQ8LDRIRDhMSTRMPERYVEhcW NjICURcTFhsaGR4dGh8eWR8bHSIhXSMfVRsXHiMiISYlFRoZYScjJSopHhka Jisqbi0pIicmZSsncmkwaS8rAjIDPjozAzQECEUHF1EYMjcDODkENDgEMzox BEEDB0EIQUIIQ0IEc0MEQkQINjwyFFETMTYCNz80dk8QSUoQdEcIRkgMS0oM RUYMC0UME00UTU4UR0YISkwQT04QdUsMEE0PTlAUJGEjUVIYYWIod1MUUlQY GFUXG1UcVVYcV1YYeFcYVlgcHFkbH1kgWVogW1oceVscWlwgIF0fI10kXV4k X14gXmAkU1IUJ2EoY2Ike2Mkel8gYmQoKGUnK2UsZ2YofGcoHxobZmgsLGkr ZWYsATEC1pVba2oszY9PZHwoaH0srfh+jstMkM5QktFUnOBonuNslNRYbH4w mt1kisVEiK857O5x5uRtoPc195817YQu84UvhOouDEkL8vRyjMhImNpgltdc YHskOXMERHQISHUMsqA1sfw1hvUw6+dv8Oxx9vJyTHYQUHcUaXIvVHgYcXAv WHkcXHogbm8t5+lvb24uf201cHEuK3AqamwwKm4p6PEthe8v2ZdftLU65OVt t7Y7sIYwwsFAv8A/ubo8vLs9xIlD+a5/0JFT4p1rx4tHyo1L35tn3Jlj05NX fWssD0kQ/LI1+4eA+vuAp4LKFg== "]], Polygon[{{172, 226, 107, 125}, {171, 223, 103, 124}, {170, 220, 99, 123}, {169, 217, 95, 122}, {167, 211, 87, 120}, {229, 177, 53, 109}, {166, 208, 83, 119}, {168, 214, 91, 121}, {162, 196, 67, 115}, {193, 131, 56, 64}, {187, 130, 55, 61}, {182, 129, 54, 59}, {164, 202, 75, 117}, {238, 237, 46, 113}, {163, 199, 71, 116}, {175, 162, 115, 57}, {190, 194, 64, 52}, {153, 219, 98, 99}, {151, 216, 94, 95}, {149, 213, 90, 91}, {147, 210, 86, 87}, {145, 207, 82, 83}, {143, 204, 78, 79}, {155, 222, 102, 103}, {141, 201, 74, 75}, {137, 195, 66, 67}, {139, 198, 70, 71}, {135, 161, 56, 128}, {157, 225, 106, 107}, {174, 230, 109, 127}, {204, 144, 80, 78}, {197, 163, 116, 68}, { 201, 142, 76, 74}, {165, 205, 79, 118}, {179, 183, 59, 49}, { 206, 166, 119, 80}, {244, 243, 47, 114}, {192, 190, 52, 63}, { 130, 191, 63, 55}, {186, 184, 50, 60}, {203, 165, 118, 76}, { 239, 240, 113, 47}, {221, 171, 124, 100}, {129, 185, 60, 54}, {225, 158, 108, 106}, {209, 167, 120, 84}, {215, 169, 122, 92}, {218, 170, 123, 96}, {212, 168, 121, 88}, {161, 136, 57, 56}, {222, 156, 104, 102}, {184, 188, 61, 50}, {189, 180, 58, 62}, {245, 246, 114, 48}, {219, 154, 100, 98}, {213, 150, 92, 90}, {210, 148, 88, 86}, {207, 146, 84, 82}, {198, 140, 72, 70}, {233, 232, 45, 111}, {159, 249, 127, 53}, {216, 152, 96, 94}, {195, 138, 68, 66}, {224, 172, 125, 104}, {227, 173, 126, 108}, {181, 179, 49, 58}, {248, 176, 48, 126}, {234, 235, 111, 46}, {131, 250, 128, 56}, {200, 164, 117, 72}}]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVl/dzVkUYhb9dSqih19BDhxB66ARISCABTAREigiKIChVRQQVsaDYsGPv BREVURnLn2Dvim0ce69jRTzP7Pnmiz+cee/d3bt79t33nHtvz+XratfGTCZT FTKZeoqnK14kNBeuEXYLGaGNcIbQVrhe+FfNUfFG4aiu6yneIpwrrBDuES4Q Vgu3CecJK4U7hPOFVcJdwnbhVOE+YYewRnjIHODSUcgTGglPCJcJG4VHhEuE dcKjwk5hvfCksEvYJDwtnGneHYSGnuth4WJhrXCK0EBoJ7T3NeMeEC4UThM6 ef3GQoHQRGgqdHFsJnR1JG/dHPOF7o4thB6OLYWtzhPr9XRbK+Esc+kj9K3D q1Bo7XPo5zb29LhwqbBB6O82cjbQvDsLgxzhPtgR7kWOcB/iCPdiR7gPdYT7 MEf4DnfsJYxwhOMAr8/aI93WW9jsPY0SRtfZ33hzheMY7419jHVkvgnuh/tE R7iXmiscp5ofvCa5nz1NdmTcOM/HeiVen/WmeA6en+01mKPS4+B1trmXC9Pr 7GOG++E705F1Zpk3c5U5R+Sjyv3su9qRcdPMfYTzxTmjtTnmwj6WCccINcIW c5kn1HoP5OBYR+abX4fvcY4VwkLzhu9ic4LLAvez7+MdGTfX85V57VKvt8hz VJnXZPct9zh4LXVO2ceJjow9yf3wPdmRdfAbvARPOcF55Hk8JwhHMslz8B48 aIm5M44aREPoBB/Cb9AytY920S1+s9r3Rc4tZ4SvbPKz+NYaj8eT8AB0jh/g Segc78Fv0DPeg/7QML6Fr6B/tI1O0TB+g1flexza6RFyfoH28Bh009H8Ovs+ W/fUSZ77O5hfgcdl/agg5HynW8j5TveQ86kuzksH87s8JB+EJ96JX1J/+MpG 5xQe6Carb2J/t1HD4/w8murjuenv57mo6cKQ85qikPOjrD8N8nxZDxritXs5 X8yF1kp8ToV1+tDOsJDzo+HmgUZHhZx/DfVzIz0u63HF3hP7yHrPWK/X12uO NscJ3nOF20pCzmuoJ+qa+l7uNdHjFHOa5nvWQTczvT79peZU5nHwRrPl5oEW K0POa2Z4/QqPgxc6qDanyvB/PS/wXPjCPPNFi3O8do3veT/zTm7k/dA/2xxr PS7rNbUh5y/zvd4C37OHuR430XPAjxpe5fmzPljl/Sw0V8ah/yV+bqnvqduV nqPa/YtDzl+Weg/LfJ/1F84DPa7wHDU+n2XmwX7RXLFzMdk5XmROaBaNU49o DU9oZuAJzb2HxX4Gba7xWPrwhHwDH0CX5zkPeZ4XrbV233qvCafVno8+PAo9 oVv0QG2iV75zeF/ge7c6RxX6sHstpHdv9n2P3map/a2Q3iHDdD1ceEzXN4Xk rfUcucdn8eQ9IefL9OG9fMPc7Jxyj0fjz8Wab0hM32V8Q14n1BduCGlMdOQe T7/W4zLOye3Oy7ucpeY5pDhasUQ4oOtnhe/Np5/a+gv7dN1HsXdM33cDFQfE 9J3YVbGb8KCunxG+Moe/hZdC8r5e6i8U9ur6OeFXcx6rtjExfXvOVHwjpG+B kboeEdP3V5niKyF9uw3WdZGwX9c9FLvH9D07XnGCcDCkd81Bn+Ue55e1eKfs 99lvE64OqWapox2uJep0u+viKnMpd44PeR5qk3dVM5/9FSF5IWOvDMlXtvj5 cq+30/W2zjxaeOxmj6d+eYflm/cu1yF75v2B92/03qhTPORO8z3H681zrrd5 X3DkTLL/HHvrrLPPXHgHHfDccKRONzgHd4ekDd7X99bJ0/3OwW7XVX3XE5zQ OtqgzvKc460h5w3op6H391RI2sp4Lmo/ux56nKTznBjTP0eN4vOea4N5o+kf hG9C0tLPIdUudfub8JPP/3fhj5C0RNsvbm+mOZvG9J/0bUi1Gz3fd57zH+Gw c/qBcMTn8YXwY0j6aq852sX0j1Wp+KFr4nPhy5B02EbtbWPKYyvFljH9w30S kh7I4V/CnyH9530qvBCSdmdr7MfB9RQTDzh01HWnmM6jSvGjkGqqVtfvm3O+ rlvEdJYFip1j+vdqrNgkpho67GcY/55zTZ7fEebEVF9vh+RrW7w36pKaZ80Z Ma0Lx+qYeL4ofBaSbsjH9Jiey1NsGNN/6pshaR7dRMUQ07/syyF5B7X8ekg+ i06OUisx+e+rIfkCPOorNojJ17523sl5qdqmxFRn0xSnxvTP+h+XW09B "]], Polygon[CompressedData[" 1:eJwtlNWrV1EQhX97vHZ3x7W7uwNFUVT0PxD0mtfu7lZUxO7ujge7uwPFFwsD A2zF+hazHz5mzT6xz5lZs5O79e+SaolEoiskQXWS2rA3JBIDoQi6BGxF94Nk dBnYjk6FsuiKsBPdHyqhq8Fu9ADIis4J69G9IT+6MGxG94UM6CywFt0LvsEv WA7doQ7XGsB+9CBohm4Fh9FDIC/6DHESbIQc5KeJE4PveRRewEJIQCGunyVO Dv4NLcmvEocGf2dp8vPEqcH/sTj5OeKU4DV4Co9hNMyHv2Dcs5KYAgF9gjgu +Fpm8lPECcH/MQ15eliN7glt0LeJw2AO/IGb0ANmQzqunySOD/5MO/K7xOEw FzqQ3yeOgHnQifwhcSSMgmvwHBbEGjTkelM4iB4MP+E4jI01vwg1uL6HOB2q mq9Jq6dNyK8QZwV/x5NYE9ViTNzrOiyKe6o3BXhmU+zRa3ilOsFieANvozb4 ET2g3i+Dz/BJdYOl8AW+Rp0Ex+B7vFc9uQG/47eohqp9NvZfF3ug3iSRr4o9 SmveE/VCa5nMPSkvrom1+QcrYo0S5j1PiWvqTUbze9Wj7Oael9e1Zx50LuiD 3hDcm7nNtTz6AT7CkviP7+FdrIXWCprPjGZFNayFvkScEXxG5dVyrO0I7ll5 uyj5luAeL2Y+w5pdrVUxn1HN5i6oZz5jmq19wd9d11xrj/roy8SZwWfwAlQ2 f3Ya1DQ/M3RWyDOlzM8InQ3boIL5M7pXZ4RmqaT5Nc1UY3NPyosH4B60N/e2 PH0H2prPhjz/ADqae10evwWtzWdFM9TC/IzQ2XAouFebm2t5tjP6WfTOEXgJ j6KWZ/Wvjcy/Rf9c3vyM09mmGquX+czPGvX0PxsPqMY= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHecVsUVXd4dNSYiAiIqKmLsjSpFULqo6UgvUqKAS2ell6UuKnVBkaIk KKCiWEEJARMDAgJRAZVgQYpS7EgU0RhzTs75fssfd+/deTPzZuaec+68r0r3 /i37ZXl5eUdL5eUF/B786QTbhcbS8K3hb4cdh92E/x+FrwjfAf6PsB9grWCd YRXQ3h6+O6ws4rbwXWFlELeB7wIrj7gdfDfYOYg7wt8BexJ2J6wPF4P27fDL YC/CRsDGwf4LexP2BCyhz1vwy2E/Q/wO/DOwnyN+Dv5Z2MmI34Z/GpYh3gH/ FKyv39UD1h/WE9YL9oLfXwAbCLsLlg8b4Of8f5DbesOGejyfD/a8PMy7PU/u /x5+xzD35dznYT2VYMMRj/b4IbCRfj/nWOmY+x/lNvarj3HXh9ZS6HVw7jGe Y6h9P69vJ+x5r3mi5+I7J9lzXJE95/sLbBVsLOwln/1k2D2Ox8PutZ8Au8+e cz8AmwGbCZviNr7nr55jmvuO9Dpmei7OcSP2dENoLcVu4xxrPG4WbLbj6bCX YWthU72WEZ73QsxROTTHIdjWTLid5/H3wxrhefXQev8OexC2APaQ47mwJnhe KzTuH36+ENYMbXVCff/mdeXG5NZ4CZ4fhN8EuxzxFvjNsKWwRbBHYFeifb3n fAP2up//JxOvOmXiILlFjv0S8QH4jZk4RV6Sn+QauUWOkV/kHLlHrpBDxDo5 S16Sn32NI+KJHCSPyWdyhRwizskVcou4JRfJG+KYnCOfyAdyjjwjH4gv4rG3 nxHn/T2mX1bCOfo+nre/n5Gvj3tsvufJ8W+g58rh7F6P59oLshIsEpsNQtxY 4THkRI6jOU6QN8M8L/8n5kd7vlFZCf9GGk/93G+w5yj0mHF+5+SshEsTPW5C VoLH8e47ys/5jLwv9PrIs6IT5i06Ya4p3jM5McXtxMhjsCWZOEAsz/ZaZriN /gE/axji1Wqf00w/n+Zxs7yH6W7j+4rdr7L5wbiW8T7X4+ZlJXinJ/6bhjiz LlMtoMZT6xuH+PaK+3Eecqm6ucV1rvV7uU9ya6H7NA/x7VXE38KOZOISeUBu kUevZeIEeUXOkWfk+6eZtI/YogYsdf9FjnmG2zLVE2LzX5nqEPFFXBOXxORV Ia5uyIRt4p/YJLbJi5625VlJnSCP8n2uOe3M97y9/b5lnmOGnzM/72aqQwU+ l1w+d2fSYs411rghZt7PVCOJsQ8z6Szz+EGmnBd5vxu998/8bJX/3+SzIvdP Ca17qvPBXFR13oiDjzLpIHOzN5MuM/81nHPm8jrnijn+HLbHc32cSev+nEkr eL8gzy9F/4tCOeRZ7vBZPuqccY0tQneP484t878Y9nUm3WQuv4R9kokf1KiT Qnla6rYlztvbzs8XsMN+B/P/pnOy3ON7OYfvOG+5dy82Rra5P3NF3PRxPrc7 p8TcTud6X6Y6Qezvz1RviO2VzneB9x2h969xLqc5n7ud97U+z2LPsc9zrnJO i/yevc4L11IqdK4vOx9rncP9XgNxceAELBz02a93vpnra0PnxVrKu8FnfudW nyHPmPk55LH/hn3nMzjks2bfW0K17Tbn8IjP87BzyXnIua889pjnYkzsE+vE eV1zkWv7JpMubPG4Y+6/2Tnjer53vNhruDlUX39hz/rKdf3otRFTxBNxQ269 l0nLqVc1rFnEJOf9Zybs/OT8s06wHlDviZ1TQ5ynfl5nDWXNZl1vZX+6azzx clqIH6zvZ7jG05dxjWedruh7dhv3a+22s13jOV9pj+U9oKzv32eG7gfUZY6v 4Ls4x1X0PaBcqH9XPz/L/dlWzmtgWwW/i+PL+65PzFAnyfEqoXsYsco7xrme n5rF+kcNYxuf8f7P+/AFbj8/9P9wn/1Kn38lt7MP9YK6QfwO9zPWU76PdYs1 a4/XUWyMXxzCeEeviWdZ1XfFOc7/FSEMVPb62U5OXBbCFPd6ps9ng/e70P4q 753+asecp6rraDXHc/zeaidoK7FFvSe+GM9HXNN4m2/M1zPu2VbTmktMEVsP ZyWY7uT22tbiecYf6zTxx/q6wL6u11/P8Z/8rjqOqdG8M/G+NMwxz5t1vqnf yztXA7ezZvC+whqyws84B+8gDd2+2v9Tr67xuW3wuBvdp8j/T/I763t+nk0j nwn31MRrWOc1zfO+mnn9PN9GPv9dXhPXU9t8fNjPG3tOnlcz85S+uedpkYC7 kP5R06h35H5HzpOE4Trwg0M1YS/8vtD7hqP9yRAep8Ovdd5ro71GEg+2wl4K 1ckj8AWhOrMb/sOQJoxB39UhvayO+Jok7h5ifkJ1rCXa7gvVgfGIJ4e0fwP8 PY73w38UysMt6DMhVGeaIR4T0trWiKeG6kxjxKNCWlgf8bAQJ9shnhGqJ8Wc 25j8NdonherYevhxPrer0X55kn50hJ8V0owP4N8PafDv0T4oiSMN4UeE9KAw tL7/f4+G8sE5R4fWx7V1Rnxzci0MrYNreBfx2CS97g//sXM3MbR/7n186Fx4 JuPYFrpP/A7xH5K0oCd8j6Rvux6wLeY4ax3vmqw7u4i1UF3qgr5dk3SqL3yf pG/B2d4/9z4zdI48w3z43kla0x2+W9I33x3wdybp17RQbpiXy/g8SY8ugr8g SaNHkiNJejoBfn6oprWCPyOp1nxNXIfuMe+Fzojn8yBzbj7eCp9vPWkNXzGp pjyH+DVz52n4TebOK8RCqA63Qd/loTvKZu7HPLoV7Y+F7jRt4M9LqintqQNJ NeU2+KdC95i6iBeF7lgd4Ksl1ZHHEb9qrWgLXyVJkxvAPxK6V/0G8bLQXaoJ 4iWhetIc8dLQfaId/KVJNY776Oq9bITvEsIh99rN+x0AfyBUK+YQR6F7DDE1 17g6mzlJqsP3k4shXSmLttJJGk2s8y7yg3WbdxLeB5gD3i2Ou419WI/Ox7hz ku4Ca2C9Q5hrj7ZnQ/c56soz1hau6y2vbQfzH7r/vG7sErds6+V24n2bMb8d /iHYUcSr4Acn1TPy+3lzvGdIj6hF3N9K73FFKN/MdSc8fyF0jyxM4h7PZ0pI p6hRvGPxnfymZd8OSf1fRNw5SQ+5v7ZJe6Q2bHRehof0iFq0E3FBEu+Ind8m 4ef2kP5Se8vBl0+6YxGDNyXhkBj5VRJOToE/Oek3xZpJmCPeiOVWSXi+Igk3 xMzQkNZT579nPkP3+B+Z49DvlAn9T0r6vqJmV7Vuk7uXmL8ZfKmk3ywvTsI0 8Uws10vC85BQjWF9uTaJM+QLNfVK6+p3sGOh3ztZW2q5vnwD+zb0PXB3qMaw vvwEn5f0vUQ9+NSa8BX8l6HfYofh+dCk7wDWENYV1hHqzYXWnLtCuslcsrY8 EdLSBSENesM1s4U5Qh6UMRfIlbPMlyHU9dC9gLw/au5/Dv9F6J49KFTzWO8q JOkaNe00zpf0G/Dp8C1D2sU6vNg5qpykO9ScT+APh35XpjbckKQPrKUHPT91 ommSVlBTB1pXz03SROohfy+/Pul+MQB+XeiOeirXkvQNQO5WMn//B4+ZFDA= "]], Polygon[CompressedData[" 1:eJwtlnmw12MYxW/f521vLCENWYoiJYxlMJcmdzJGlGIYplu3e6N9Ie1FQ4ul bBEy0YxmSJTSIhpaMbJFq0r2FCWtJOVz5rx/nHnOed73+/2+y3me369x5YBO /YuSkpLJIIGKKCkZCbmUOJWBOvBa4G14bXJfga/BPvRroBlj54GTyXVDbyEO BP/Bj4Bu8FGMX0Gchu5IXAb2wOeCixhrBSrhDcn/o2dBAm+RW5O/qW/tBGPg fcEf8MVgArwf2AX/ANwCr5281vXoFvCWoEH4G1OJA8Cf8C8L817hdys3iLkL 0b/AD4Ch6P7o3fBWYd4D7Cicu4fx7ujt8KYaRw9Lnvub9g+vgv8KP4e4FAwh dyHxI3LV4B3g6+A1iO+BF8Hewt84gfETQV1y5eiT4N/B58Hr5bkvhfeiZ/oy fjd6Nfx87RmMJncV8RVytxLrJz+7AX08/DjQufA3dJZdwPeFz1RnXQ62Fj7z 05l7GuiitZE/Fd5Q7wjnGsObgProCnQj+BnJc7uiG8BPSd6LnnkVtNYc4nBy Z8PPSp6rd1wAb57sLd1hU/i5ye+W5/qE96S9/A7Wwr8BM+B/gcvlPa2ZXHf0 YOKV6I3wd8Aq3UPYOxPBxYxdkuzFKvRq4mfZD9PBRviU8LsPghXwlWEvjgGX qXaSn9U3O+luwf7CZ7wD3k6ehh+V5+A3qaZUhMQayR6Wd2sRD4GbtSd0Qdym uwGbCnvgCLw9WFu4ZhaD+3lHi7DH9K1d4Fjhb97F2FPo5fCfwTPwzsl8JXgS fSf6p8JzKnTX4GN4E8YmgtvRP6KXFvZ+b/WAXAN94L3Ap4VzPXWXyc82y2t7 l9gyvMbpYEn47v4u7N0N4dqTh6uY3yO5tj5B3wB/SHVS2JP/5p6hXhHEqxkf Spxf+Iy0ln7JtaA1qRa7y0O5Jusm9yT1ojrEYaCU3LfoBVpP8hr0bT3zmPyG /gH9IXgA3Ra9Bb4IjNN9obfBl4AXck9QL/gcPAKfn2uxrdYApoHm4Z6pWn0+ 9wbV7MPgRtU8+n0wAv4EuWXyarhXP01cUbhny0sHQLXsqQmMzw333jJiR/kL TFGtoQfDvwh7W3cyClxHbjN6IbgWPpLcmaARuBc9MNnryo2Hzw7/VrQhjkO/ Hq6l1sRZ4FHQOPeUsck1r1ovJS4In4nOYlVhr1Um90p5bhBxL1gDn6Uah98H ZhbO7ZOnwmOq6dt49vHw3cij67LH5C3V4HPhGj6Y+/ucvIc2+UzX67zDtar5 dzA2Kex11YR+C+sle0W/iUeJRXLvno0uh08O15J6xrzwHZTlO9pO3Bmufe1h v9YWru031WOJe8K94A15gGeHhHuVPBnomsm9YQ765fCatdZD4BrGhoe9qzts jx4f9qI82w49NuwleVQ/+kfz2qvnXnIszNVTdHcdkr2iO6yevAZ9u2b4tysl c/2GjQh7Rl5RT1fvOhyuTfWwrmEPy7vy4MHwGWjv8uzu8Blo7+pZY5j7YHLt HAYzwh4qzTU+M3uude4JZfDRYe+qJpeHz0hno/8c1+t94VpVTfWEb478btAb vjX830UeWATfFPaK7lP/ZZ7NXtV/mv8BlNs7sA== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXm8ltMWx986z16vNBlKKCWR6dIVF5kSmWf3mi7uvcI1JuJyzfOcqSgl pSJO0ynNdRINpMipnGanSSUpM01kfa3f+3nPH+us/TzP2nutZ++1fr/1nLd5 h04X3lIzl8sN8z8lrmulXG6Qyw4uf3F5OsvlXnS5w8fPuH7J5VEfn+3SyuVU y+WOyOdyl/n4Tpdn/XlXl//7uIvrbi4P+PgF191dHvbxWS6Hutzj8pzfe9nl cR+f4/JXl/tcnvd7r7g86eNzXQ5zecuvX3Pp7fKsX5/vcjhruFzgcgR+XI50 +ZvLDS6vum0/lwEuPV16uUxzGe8ywWWg1nvd5W3pPi5vyhZ/T/s657m0dumf xZqs9Y5s+7oMlh+eD9N84i2Txs8YlyEuQyUDZDdcz/E/Qpq1R7kM0tqjpZl/ lMdR6vpdXffXWjeniIE5Y+WDWD6Qb+4td5sql6NdvnAZ6fcmuYyTbZn2Zbhi eS8LG2KZLE0sU7Qe86ZKs6fv6/kYXZdprQqXpS5LXDq533LXH7rMkH/8zJQP 1pglTezzXD6S7ceyxe4TPSeWT6WJZY7LdK0/V5r5s/Wc8/+82nptUtgTY6Xu EUuV5uN/gWLC50JpfC6SZu2Zvs7HLsekeNcKxYLvcr3nMq2H/+XS+PxCtvib L//4W6Hn3FspTSyrpInlWPe32PUal7VZjNnnr6SJZZ00fr6W5v3WSxPXN9LE tUEa/xul8f+tNP6/lH/24Ltq9350Wa14flZMxPKLNLEcn8LmB5efqsW+IkX+ knO/ypZ4NytWYtwiTYxbpYlxmzQxbtI85sxIcRbsxW96Trw5v/+9YihJEQfx Zik08dZOsS7zaqZ4N+xSiufEaCk0PsHPLYprxxSa+fkUz3mPYSnW3VM4u1nv 1M7Hv7uu63pgijm7ufRO4Xtnlz4pYt3FpbvLdrev57qXSw2XnVzeSPEOu4JX KWJt4PKO/DUSxhPr7i5vpniHhuBlin2pL0wFR8G4ISneZw/hLlgLVs523dRl H5fRLqNcmqXgC3gD/qjw8Wcu7V32c9nbpblLS2nmHqRn3JsEPrjs7zLeZZxL C5e5LiNcOrt84jLL5WTxDrwEP50jrgC74R04BC45JAX/wENwExwFV8E18A88 dGYKXuqRBUe1En+cK+yHC84T58AZcCB8BRfAZXAdnHejuOeNLOaDz+AyuAW2 gDusBS+A/2A3WD1E18N03ava857SrIXvgZrfX/PgBs4J3ijw2NvV7Mq0bj/Z DtKz4VkRo8H98apBuKVUdqNUj/gB10dnRa4anhX5aZTiHiu7KnFMuXyP0zPy lJr7Ub7H61nHFBxWKn/s16SsyD3vZUW+maJ503QND4DJs+Rjiu7dmoJvwHfi AIs/1HozdR4FvpkpfzNkN0ZrvJ8VOQYfrAVWV2RFPligeeD5PMU0W3NGa43J Wpfn4Hxb4c/2rMhVcxQHOF+ZFTkGH3DLDGH9LPmcr3eolO/Bqm3qmrXA+aXy CbZXyRY8X54VeWVFVuSGdVmRn5ZlRb5ZqTi+1HWBY9ZmRY7h+rgUnLQ6K3IM 6y6W7ZqsyDfrsyI3/JwV+WZDVuSbjfL3na5PSMEf32st8JhcGigMA8uI5Vet i+9Nul4rPz9lRZ4jjtVa4wfFtFlzChwDPp+Y4szAaHznhL/Y5eWX+OCKbVqr hvCUtWsKo4kpCaML/ME1MZUI6wt8tjUrct5myQ7ihj7iBOxPSsEfdcQLdRUn 82oJ91mvtnAcnK+n+HsJ74kT7oBbSsQLDRQbHLST4i9wG+vO1RmTO/DLbopt iHKwlnC6s3jiFPHA3sJ7cP/AFJy4h2KDK2aLG0aJH5qKB1rqel/NO6DaWtwr 15oFbmmpZ6el+J6Bk8BG+Au8vN71GSn4YZHwH8xGWgnbEXC+8D3QWvhPnTXS 3rIWXNlX+kiNsYMv8Hm6/MBBf0/Rx4Oz/05xTU++zOUljeel6E3BmYtS9JXU 0FUprgs1hqYOLk9Re9zr4PrianWCJh+vSFE/3Lva9SWpmNNtlQ//cf0P+b4y Rd7z/DrlGLlVmYJ7m2r/22u/r3G5VHb/SpGX5GShryrROZyaojdgv89Kxf0+ OxX3+xztOXwOB7P3h+i8uusczkvFPT4/Fc/2Ap1JG70LmD3F9SvaO977Cu3D cu3/u9rLi7TPx2sP2c+prv/p0kT3Ltf9tlqLdRan4H76h3baB/btUu3j77p/ nfaEc+igM2KPr9ZZXKa9q6PzvEpnfZL2t51iuVbx4JfcpedYIg3PU2v/1dl0 S5Fn5NVNipP+ZKnmwLv3puhj6IduScHHpbLpKPsLUzzj/pwUuVrgVzQ8dlsK 3p0uG8YTsziH23T/9hSY0Fg5xLiZ1iUW+o7hKeywobe7QzmD/l+KWqaHu1PP 58q+iZ5jR194j96N/uyuFPb0f/Rq9IKscXeKcTfdu1s2z2l+F/m5S2uCPeAN 2EJ/SR+JLZjcNwUuP5iiByVXydNnUjFPuyT9vyILm8Ia92v/H9B8+ldy/6kU +U6tPJKiVuhXH0pRQ+T78ymwh7p5IkXdcG4v6uzghR4p6reTzo6eCN1VucFZ vazz6iqbwribbKgP6gg8gjPgEnBju3yQ52DbhTpPfHIfvqG+H0vqmzW3vnRP 2cBn8A1c87rG7Cfc1C8FP8FZr2lub9nBT+BLH62RaU6J5jHeVefTR+u8prWY C8/11zz0ANmD73AbvAYnvpWCFwfIroFi7aX9eEt2DXWe9+kcTffx83aKfgW+ LNX6jaRLdX+g7BrKN9esUcBE8PB08zPX/9/go8Fah757ZYo+eoXG4Bs9+So9 b+XzjrM4p8N83M4C21bKBvvPU/DQZ2Cy25xgUcd8h1Fv1Fprv3+yBQ4e7uNT LDDvYNe7+PVIHx/o42ssMKu16939/kQfH+Hjxj6e7OMnfPyIRY0RwwrFf4nf O8qCwx92fb9Ffbdy3dDnjvXxiz7uYlHnfIdyj29GMIUeoqliHql79CdDU/Qo tX3eDvnoP4bqGeN9NJd1ylL0KHyz19aYXoX+gr5kf9mOlj3frRN1f7rLGPkd I5tmshsnP+M0B3tqENz8E09dJsiWZ+XyOUH23Of/r6eZckDnXaoeA26jZtf6 83UWdfCV68wi/8lfcpycr+Hr1LLIn719XD8fGLzS731pUTdwBXwAnqzSOZFL N+sZvLPKbUssanaD62Tho8p1TYta28aeW+T5D67Noo6+d/2jRQ394nqTRQ18 43qjRc1tdf2bRZ386jpvUSMF/iO2joqTuMA4YuTbjr6yUvmAnp+ijyHHFyjP 6T8XpqIt471SfHthV6E6Ym+pkY81t/CcmmmjtSs1F4yGo3sIb5cpLnSVxnAX NdVZ+VWmPKySPecIby/Wu67SM2K4QevTRy2SDb4+8b351AKvp2GbombxMUJ5 uJkcsHh3sORU5VId13XzkfMrfPyFBc4ucD3PAq83uexiwRG3uL7Ror+Z63q2 BfYvdb3QAms/cn2sMCfneo4F5nP+3yoHOM+fdKbkyGblyY7kVV7fFT7+Xbm6 3aWjBa+RX0uUY71cd7fgUfJxuXJyjUVOk8/rLWqDumjha29J0XPt6+OtKXq0 Wj5O+cCGeq53zMfZXODzjrHg4Vmum1tw4jcuPS14/25it+h5M5+XywdGf+j3 9rTgyRtct7Hoa7dY5D05/7NFPVAL31nUAPl/tQXuc0ZNXc+04OztFrVBXezn fral6Cv38HvTLfoA6n61ap+6/Fq1WcP1fAs+Jf8rlLcLdc2YPJ+pGjlG1/TJ /L8O/D44RW6DXRP1nULPXeinqY8l+t75IAU+tdf6zeWrUnXHN1y51kRP0vgj l/dSYOECxUA8fGPyP8HGWos1wFVqm2eFHnOWbIj3fa1J3U1VXVyrOmF8ve/H hhTnu9FlZ4uaWuPjiy36z0N9n48UNx3ien8Ln+tdXrbg/ZZu81uK/v0esDTF 98/XLi9Y9HtrffyQRW/5lY8ft+g/J+qdC+8LvrCP8Bi8Qv1S0yMUM7wHZ7TQ Pk3S3Gd9vSct+tp1Ls9Y9Lqv4NOiTyF/2yqHD/CY61l8Z1DfTVTjjfz+YRb8 M8H1eIvf4hr4/UMt+G1PHx9u4X+061EWv6FNcz3V4jc66uZ61c51rq+1+FYB P24WhtxEjaf4DqI+LlONrFbNMB7g+k2Lnhj+f96iB6BG66hOee+n9e4H+b0D wEQf184H94OxR7u+z+Ib3fKBNeAMdZ9X7cOHLS048TmLfWQP6QPoGfhfx1MW 58fZEXsHi/jLXU+y6PtvBZ8s/vdwpesrLL65h7oeZtG7D3Y9yOJ30UstMAU8 +XOftFcNXDfLRz5fzllZ1Na7rkdafDM8apFb5FVdiznYNwSTLOq6vsU143fA D4seHU5oZlFfD1jkPTlP//WgRQ92u+vOFt+Uu7vuZPGNTk3cq7poZIGDYOAH rqdYfKsMBNssfk8mB7spD8e6HmfxvTSZPLL4jZfaOkP11dWifqidnX0PDrKo A/pEahK/b1jULTULX1VacBa8VGHBTbe57mfBq2BzTeHz5xb8BDftZ1HD1O++ FtgKrraw4Ak4gr71MYveFa5bbMF3vV2/bvGd1tgC98H8HhYYAT408TX2ygcm wlevWnDWIgtc/hOTLXgOjoOHl1lw8T4WvAVnDfdxmcVv5nAs/T08e2A+8p6c P8miX6dXP9Oizqnxvj7uY/H7/PEWvT59fnuLnp5+/kSL7wS+Ef4AX3Z2OA== "]], Polygon[CompressedData[" 1:eJwtlnmQl3Mcx3+y38/DaLe2su2uQu7U6lAMkxxddLclkcQWGakkCaHoQJJV ERaVJEkqFEW3MzVhwjjGMWQcE6noUHi9571/vOZ5f57j+3yfz/k0qhhRPrxG Lpergjx4LXK53SmX6wEPwGjsW2AYejhcgj41y+U2o9vBc9jPQjP0vbAQvQCa oyfCTnghrLtCOfoEaIPuDy+i/+TYDSbBLniFc/dz7A6vopdBy+Rzk9CTYQx6 OhtugS5iPyuxV8Hj2LPgUa6Nw26I7g8D0TPgNHQXuAK9Bc7Xfnh+E/pcuBl7 JNyAHgpLwnvSXu6Djdh/czwLHoaXsV+CFujJegd6Oszk/XdhN2LtztXv2whn oOtybjl6BTTFLsP+THuF07FrYy+THxQD+SL8rbdjj0DfBNejy+BMdAn3r0av gSewnwx/+2M8swG9DlpjT4M30WvhIXQruBJ9HvRBXw210dsV5+R3KBde59yU 6pxQLJaHc0MxWYP+i2Ov5DVXYK+CB7W35FxYFI6tckK+Whr2pXx2KfpkuAh9 FVyDbg/90IPhD5gXzq0uMBB9AfRFV2jPehYuQw9STNCVMDY5BtP0rTAjz+em aG9hX+rcXo6jwrGeg72D41PY4zl2hir0bLhHsYOnw+ekdc/qsE/ly6mwB94K 655wHLop8dmG3sr6vbFPhLbyPawMP6N75bMx2LcqxuiRybF7O5xriuEbYR/L t4pJH/RJ8gl6QHItPg8TkmtypmohnIuqiQboD5RPygXs49EDwrE/J/ndxyp/ k/fwTDgG8r18UMy39OTce3oejsbugf2u8gTqYHfHfke1m1xb+6u/XTWm3pHP 9WOSe8hgdFd9I/pa+Bf9HyxE14ca3H9YZr0IPuXaNihQrkMBunHmWlaNydf6 Jn2LfH4nujhcKxfDEVw/EhajS6Am+qjMeolyUN+PvUG5qPhpPViavOcm6Frh Wv0ouXbLwr1QNXxbuOZV66PgV+zfYC66LvyO3hHW8+Bj9CfqWcnftEf1BPPl W+U/emf43nrJe9usmCbv8Vv0N+oZyk0oVWygHH229ojeCvnJ79iE3lcde8V4 C/aH4d6nNfeh94bfvQAOoQ9CUXJM9qMPhK/p3I/oH6AQPRu2o38K6zrwC/rn sJYPDmf/eZljWSyfce3zcCxrwXfo78PfojW/RH8RvlYFu9G7wr6Qj75Cfx2+ Jh+cEo6BfK+YZbwrMr9LMc9HF2SOdSlcGJ5JmkXqKcrFwsy9VzmpXK6XuVcr p5Xr9TPPGuW8aqE0c+9VTbQL17hqWz2pEN0r3Etm5bn2NJM0i1SDHcI1rNpV z+sU7onqhZfDP8k9T71OPaOveh10Qley3kTVOjyS55k4PzxzNWvVAyqwB4XX qqk10f3Cs0E9/kB1zivXNZPHq9fB6OQ1Dyb3WPVW9ZhDyT1avVk9W7N7cXj2 aYZrtjYO17LqsQh9B3RUbcL7qv1wbvaWT8M9WL23UjWGL1tzbh16rdZAN+Dc +uQZPlb+D68lH2j2tQrfqxmo2dkk3Hs0QxtmfqfepTX0r9Ay3Lv0z6BZ3Czc uzST9a9TEt6L/nnGoe8O+1o+aRP+J9K/kGqsbbhnq1drhs5FzwnHWv8Q16G7 QXtpuBE9NByLIdAcPSR8rUPyLF0fntWaqcP0rvC9qmGtpR6k3qM1/wdJWjKb "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{51, 1, 5, 9, 13, 17, 21, 25, 29, 33, 37, 41, 45, 241, 232, 233, 231, 235, 234, 132, 237, 238, 236, 240, 239, 133, 243, 244, 242, 246, 245, 134, 176, 248, 173, 227, 158, 225, 157, 226, 172, 224, 156, 222, 155, 223, 171, 221, 154, 219, 153, 220, 170, 218, 152, 216, 151, 217, 169, 215, 150, 213, 149, 214, 168, 212, 148, 210, 147, 211, 167, 209, 146, 207, 145, 208, 166, 206, 144, 204, 143, 205, 165, 203, 142, 201, 141, 202, 164, 200, 140, 198, 139, 199, 163, 197, 138, 195, 137, 196, 162, 175, 136, 161, 135, 251, 250, 131, 193, 194, 190, 192, 191, 130, 187, 188, 184, 186, 185, 129, 182, 183, 179, 181, 180, 189, 62, 51}], Line[{160, 178, 252, 177, 229, 228, 230, 174, 249, 159, 247, 160}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{254, 253, 257, 496, 487, 488, 486, 490, 489, 441, 492, 493, 491, 495, 494, 442, 498, 499, 497, 501, 500, 443, 482, 592, 473, 485, 461, 483, 460, 484, 440, 256, 255, 254}], Line[CompressedData[" 1:eJwl0lszVXEAxuG1t+gkOmwplcgpRSFKqcgp5TT2lFOocM2VG1/El1GIkswI pRop+RIhRc8eF8/81nrXuvjPmpXZPxwdCgVBMEa2iwgjzFMdDoIaKnlAFR/s 9/Q+d7hLBXP2cr1NGbe4yXv7DS2liBKKmbVf0+tcpZAC3tnz9Qq5XCaPt/Zs zSGTLC4xY7+oGZwnnQtM29P0HKmc5Qxv7Cl6mpNEOMWU/bie4BjJJDFpP6qJ HOIIh5mwJ+hB4ojnAK/tIQ2zG/uwuqev2OYPv9lik3HavLOqG6wRdf9d/7LA Dh/5xw/qPF/UWl3Sev2pDbqsD/WTPtJ1bdTP+lhXtEl/aYt+0Wb9qq36TUd5 SjsddNJFN8/ooZc+nvOCl/QzwCBPYuejNLT/X/0HawU+DA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl813McwPHv1qRSIblCWYgiRyKUVCorKVu712TdyrZC9zZNW6KTTjmL yVWh+1J0o0hJObscHRQdSsjz8/DH8/f6ft6//Y7v5/v9Lb5LflJeTBRFSR4S ykVRx9goqqsv8hN9+Zbv6E1btvESH/EhiZwVF0WVqUAlKnK/eXk9k3KcQRwd zGM0ln8dR3pa2/M3/3CSU/zFffzJCY5ynGO04xCHOchv/Mq97GM/P9OPX3iE A7zMHzzK7zzGEaZzm+/SXxvpAL1dZ2gTHaSNdbDeqWXaQgu0uRbq3fq6ttIi bamPa2udGfZPh2sbLQnfVd8K56il4Zx0RNgLfSdcD31ak3SUJussTdXRmqJj NE3f1Qwdp+k6XjN1rnbSZzVLJ2i2Lgh7oF9pdx52nMtD9KE33cx7aE+60j3M wrF5jnbhAR6kM72o47kN7qPplDGTI7xg/gWfs5mlFIfP03ymMdz6eX2OJRSF z9Y8BoZrQB5TrX8Mrwv7yzC+tv6GXnzGFraykclsZxI7WMinfBLOj0309x6L wv2gi3WArtQpFIZz1Y+Zx0jr+bqCiRRY54Tz5j2etH5fP+AZhoY90vXMZoT1 HF3OWIaE/dN14T4Nvx0Sw2+Fp8zeZnDYa80N788T1iN1LWt4g1KzN3Uve8Lf kGCWHa4vw7jHulhXs4q+1v1oxlDrpjpE79JXtURf093sCteBO8w66U5+4HvO M6tGR8d9WMYrfBnuX6p67myqcC7nkGx+vl5AdS7iQlLMa+glXMxlXEqqeS29 nJrUJp408yv1Kq7g6nAfkm5eV+txDddxLRnm1+sN1OcmbiTT/GZtSANu5Ray zLu5h7PIJIN00kglheTY//+H/gfseafJ "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1162, 1161, 1350, 1508, 1658, 1558, 1657, 1559, 1659, 1590, 1838, 1591, 1623, 1622, 1510, 1662, 1663, 1661, 1665, 1664, 1511, 1667, 1668, 1666, 1670, 1669, 1512, 1672, 1673, 1671, 1675, 1674, 1513, 1677, 1678, 1676, 1680, 1679, 1514, 1682, 1683, 1681, 1685, 1684, 1515, 1687, 1688, 1686, 1690, 1689, 1516, 1624, 1625, 1593, 1641, 1509, 1552, 1648, 1647, 1560, 1660, 1592, 1352, 1167, 1166, 1165, 1164, 1163, 1162}], Line[CompressedData[" 1:eJwl08dzTlEYB+CT5EsighmsECXNyoxuoXe2go0uNkaJ0f8YJbroootOdKKX 6CW6kK4GzxmLZ37v+5577zf33PNlFy4qKEoKIVRTkgihmAGpITRxLi2Eck5z ljM0mp+UpzjGCY7TYH5UlnGIIxym3vyAPEgp+9lHnfkeuZed7GYXtebb5Q62 so0Sasw3yy1sYBMb+Wq+VhazijWsptp8rhzIBNryxWydXM9ilrCUb+bnZQeW sZzB9EwPYZC8SEcu0IlLdLaWxRT11NhzmSza8d0zr8gurGAlQ+nlniFyGtPp Rg+zrrI9P9yXox+mzuYq17kWn2U+Q/50Ta46R13ACHrrh8uZ/LKep89VT2QU ffQj5Sx+W8/X56knMYa++tFyNs3Wu+vz1ZMZRz/9WNlfjpdzKOSPa+fLBcyj iIX8Nb8hb1LBbW4RuMs97vCA+yRRySMe8oTHJPOM5zzlJS9I4TVVvOItb0jw ng+84xMfSY1nIp4BPsfzFM8OadRRTy2NNJAez0X8jjTFPY/fhhZx/+IexX2O 7xn3gIz4DvYmmUCCFFrG35DppJJBCzLNM2WreA1taB37eNbsXSbN/os1VFFJ BeWUUZr4/3/9BwvJiBo= "]], Line[{1349, 1312, 1316, 1320, 1321, 1322, 1323, 1472, 1589, 1819, 1588, 1817, 1587, 1818, 1616, 1816, 1586, 1814, 1585, 1815, 1615, 1813, 1583, 1811, 1582, 1812, 1614, 1810, 1579, 1808, 1578, 1809, 1612, 1636, 1577, 1611, 1576, 1834, 1833, 1550, 1832, 1610, 1825, 1656, 1574, 1807, 1824, 1823, 1556, 1549, 1831, 1609, 1575, 1581, 1837, 1580, 1557, 1551, 1835, 1613, 1638, 1637, 1639, 1584, 1349}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.975 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(0.975 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnGdQVVnWsDG0qc2xTShGVBQMjdoixxxRMWDOqc2hDWhrmzFHFFS0Wwxg VsyKyjUHBEQEiQqSBIRLxoh+TtV91vnqWBbTM/PWvPNO/7r11Drr7LXOzuuu vU3Gzuw3Ib+RkdGswkZGf/tdtuhTE2OHcN2Y2yt1I6w8lE5eM4I87J4Kl8rv 9Wa1zT3hwca/lj1z8bAw+kO7Pg+/0f6W6MPow+jD6Bc8+Ta43wQf0YfRh9GH 0R9UtNiUXzo9FX0YfRh9GH2za5UmtRkYIvow+jD6MPr5ZtadWHDSc9GH0YfR h9F/vbXy2Xirl6IPow+jD6NvN6Vm00d3Y0QfRh9GH0Zf17G+x+ne8aIPow+j D6PfoHoT8x3BCaIPow+jD6O/PafFqQWjX4s+jD6MPox+7uM2jUckpog+jD6M Phy913LFz9ODdS/m7y9hPm6XYqPr1TdrkZ8w74fd1g23av7TNWH0z1rppj1u nCr6MPow+jD2wNjP+7Ef5nmY59HneXjxlim/DRm1SfeDSfKKBnbuwoNX59o4 b9ArTTe6hHRYGKozO3XMzmzWLGX7yYBGG8cECWf7FVsa1P2J8Kkoh0Ntx3sL S/8x8OzaOT38W9wSnuTjE3232Hlh/C/WYN/V1FGe4g+MfZbzt12v1/uCcGT4 iSuXZ+tE3/x9Uui6/vdFH+b5OzVjh7p53xF2eZo+eEbEQ9FPNi/wetNVf9GH eX7G6s8DW+r9hA/sXd3QyChA9G9Fl04c6Bsk+jDPF5+/6Wjs2kBh+z47TB+W CRZ9ZyfjVzUiw0Qf5vmXpnsOn3QJFbbJf6CeY+0I0Z/WzSwuIS1S9GGevxh+ xG3+iRfCW8MGOZ50iRJ919y96YOXR4s+zPNduoY/qRH5Uvj9uZFlHGvHqPUX fHBW22Jxav0ZmOc9akbbFpwUKzx+04St80/Eif5cj2OpJttfiT7M81XeJzxO SIsX9ps4rdSwHxPU/rfuzIxC1ZLU/mBgnl/1NLW378JE4Vbt5mxWvJJEv9u4 yylJh5JFH+Z5/Ykc3zP5VT5Q+dcSdbqmCDP/wcxnMPMTzHwDM3/AzAcw4zvM eA0z/sKMpzDjI8x4J+Ub+iPjx701uuSlNnHWjB8w3wemv5+q6hQ1tPmX8eXm 6tsL2gVbl1oVclY/Zb1wmN3r0XMe7BcODN/mt3zHJeF2808cGdHouvCO/uNj AlLuCnu7zvZvd+WB8B8Ruplni/gL/7Syy8TJM54Iz93iO31RlSDh0pYDxjdb 9ky4W4fwqZ3MwoRjE8aM/bAtXNg4O2FyCetI4ee+LS2i+0YJv+v/ofnr+tHC XQ9bn74XpvK4xvnPPfaIFT6zrHOT4+PihH0LFW12vvUr4apDbU5uSVa5ZVSp M7tuJQo7NO9vNndekvD+KxUtfuuZLJxafOjxwZ9U/n579dNjAvVKgOfnuyWW Buvsa8/e3eVL/Zh9iAxpt89PeHy+5T19ll0Tpn6pzxY7FhVcWD3Oi/kDZr6h PGn/Bpb2b2Bp/waW9m9gaf8GlvZvYGn/Bpb2b2Bp/waW9m9gaf8G1q4P8J/2 Dou9ycmHIl8eEz648HmSdwe9zPd8L+Z7mPEF5nn6T+/i15Imx4TqLO5v6Kaz c7UuX3zhvaqlVJ7f+EzlCW8ChT0aZ7U99yhImPJ4X9k+Zts+nnsi8pDeidNO RfoL/xLVYVnqlofCSVEPHmxo9UiY/gxjP+8/Ubv1TOOit0VuWftcvRWjbwrr H3VxaTD2rHC0T79GY89dEKb9yPxu+J67Sm878ajwObU+XQfGFY24Ie1N5nOD PDtlXID94dvCkwv98nLPZ295XuZvg3xf/6V+RR/5Che7eE/vvC1Anpf52iA/ NLxXXK83avt8MSkwedTBYHle5meD/NdSw2IqFg0VPl81Osn0QoQ8L/OxQd77 1qSXkVVeCHd+ZZ+1ICZKnpf51yDf9tPVmQOc1fZ/+saSOSOmxcjzMt8a5B/K 3dK3qqGOP5VdHDLaZ8fJ8zK/GuQTUh5Mr35E7T8r52ycXW9JgtrfmU8N8sf3 Hifna6qOTyk229OKFX4tz8v8aZC3dn02Nf6K2v8G1XOZmbolRdk64sfX9nPC pb8NcHXbVqyT2h8t7jWa9VMDtT/Gl2nV2CXzqnBIidsWMR2PCGcsmW59c5g6 3rWIaFl50M/q+6atvPrw8GB1/NO3tV36dKb6ftfuvlHV+zlJe7204afW9lWW fdU/Oj9NtEjqe1nH+AEzfsCMpzD6D2r4RP/QaKvow+jD6MP34vI9Hx59Xjk/ wORZzdZpyvDpriZF/b2FkzJHJc3eGSRc70xqx8h7z4WbXtL1rvchWvix05oP EWVfCU+f2+fI9oavhb/vX8muR4dU4aBdqcuMTqYL11nbPzj8cqbwHPtLjS/d yRa+NbHqKkf/N8JlBi4Nmx7xTnh05xiL7gkfhE+36LqmTlau8Ofax59//vxZ GP8n3zxUYftv6eI/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4 b9zE1O67WxniP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+P/U 5fgO+0JZ4j+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/i/trB5 YGKPbPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8t557ttzw LTniP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7DLU6uO1ykpKNS 8vuY7CHhacJ37Cf+6FMjQ3hBbOJc6/GZwk36Tj/vcSRLOOZ6WmatlGxh7fsZ b2HGH5j+CNM+YeqrXN/YQpETjiolMpdtLOKfqtT0KP1gj+stsR+mPJsKu9pe XfpE5DDytQH1d5qeDhU5jDz6/rC3PVKjRA4jX+Ze2y1f4TiRw8iNHV73vWyc KHIY+bVx5z7NsEwROYy88f7rQWUPp4kcRr54q4mZ/myGyGHkPksdVjz0yhI5 jLzKzMSQQ945IoeRTxnZy3zZs7cih5Ff7nXGYVj0e5HDyIu0rRBhqf8ochj5 ILOFzcq+/yRyGDn7hZbheyd7DD8h6xeYeMOsmhHNTNqdE948b/l049YHdOyP eB5m/cN+BzmMnPLhAge3WXqXuS7t733PSX66V37CrWNut+v1ZV0Pz3Pt7+IZ ECkccir9Xbl8scLzN11x9/4hQbj8tOX9l1skCw9xq2NUrU6a8JEdawe+Mc8Q frsy+URAmyzhLnNsC5zqmiPsPPb8kHX93wrH9v3BY/yo98It2i8u1G7qR+GV FlHDq9p/Em5kWrZI0d8+C/N9tetH5F6bQ+b2u3xPmPEU3lPw43bnDU+FGV/h 4JsbUgpcDRdmvIXX6zYdbJX9UpjxFzb9w842tXi8MOMxfG9x9Vy3OknCjM/w +GFxR4db6YUZr+F8vw88XrRhujDjN2y70TNf3I+ZwoznsOsi48E32mcLM77D +ikrTu3p9UaY8R62Hhpf0H7IO2HGf3hj9x7D+k34IMx8AEe0OnWm8excYeYH bX3RH6nPl+b5J7Zdr+4HkFOfyKkv5NQncuoLOfWJnPpCTn0ip76QU5/IqS/k 1Cdy6gs59Ymc+kJOfSKnvpBTn8ipL+TUJ3LqCzn1iZz6Qk59Iqe+kFOfyJnf kdN/kbOf1u43/974LPvtAM9wk3vvPHSwT7sVWwLvuuvazV3Srs9vtxRtvMvK smylg6fShKMjzwWWLvJlv/XG7135GU/k+V3nR/Zf8Xuo8OtW9s/s46OE11VS Vjb5FCtcP6eQRVyFROG7gX4RexqnCHsMedTp6IE0YaPu5ntWncoQtm21PX2U Z5bwH/XfdG1zL0dYX3HYHxUD3gpbFdJlpT9/L7wxu1ZP38SPwmGxq/cfyf4k TH1o49lpB5wGVshMF3a2aVl+pU2GsHupys5rWmYK21zx7J+9VeWhi/cGvVuU JWxUz3r7z0Eql06sUWHajWzhi443A0Ir5wizPoO147nEOwztRbt+q+XVocya i+p4wfOMDzDjAUz/h+nvMP0bpj/D9F+Y/grTP2H6I0z/g+lvMP1L235Zr0o8 37BehVmvwqxXP147nvtgh6vyZsnqIscWpCqFZjz3vb1H/b7a+BDrV4n/Gtar MOtTif8a1qMw60+Y9SbM+hJmPSnt07B+hFkvwqwPYdaDMOs/mPUezPpO+3+A rOcM36/k6oiOi1dfEP5jQL6d/oP36P7b492rR9RLzja98FX/lPW/4XutbpBx PniCys7JTy0jbNMVq6PNjtplqv01rEyDJj8cVftrxceX1ziEqP21QZdDs94V iBG+X2dadY+qan+dUKCF98Tman8tEP1hfvWean/tF/WyzJQzan91fdx5Uufr an9N8zrqVfOh2l+tT5Wo8DFQ7a+bf589NThK7a8RG4Nunk1W+6vZ4tY/bH6r 9tfAOVNvL/qkjr8rIi7bOH/4/NX3Yn8r85PzvKzux9T+bTNk0PzeThnyPPtf Gb/zv2t+Ta/qG90Lu3AjNFOeZ38s4/nMxXOaNFf5YrOR2c2Ms+V59s/Ih0d8 Putqr/KUfS9buI3NkfU37cEo+UCfhNv/33zbtKTLtRNq/Vo1H7N8zDZ1fn0f 5Oz+yEGt7wVpaWF+N9T51nJ7PaPWF9T6Dx3YrorxW3X+bW0abtY/Qx2/7X8s cj+wVJxwcKGDoUWLqe2jQnn/ORvqq/PzvLgpq2+YqO3lXMbOmh0Udb4ud6dZ c/vWavs5lnB64uLj6vw9uG9uqvMRtT29DS53fdAldT4/0m5Ml1/Oq+2r2337 cs1vq/N7jvndvb1uqO3N+WL45JKP1fm+S40GmaY+avuLd1NuJIap8/+Okpu6 FwxR22MLp4MV78ar64HY3LR9kTFq+1y1qvB01wx1fdAsZUCOZ+rX80vUUts3 k4ur61fWZ8x3MPMdzHwHM9/BzHcw8x3MfAezXoGxh/UB9sDYA2MPjD0w9sDY A2MPjD3a9Qn/D7P+gFl/wKw/YNYfMOsPmPUHTHn8/0x5MOXBlAdTHkx5MOXB lMf/25QHUx5MeTDlwZQHUx5Mefx/Tnkw5cGUB1MeTHkw5cGUx//zlAdTHkx5 MOXBlAfzfv7v5/0w74d5P8z7Yd4P837yB3g/zPth3g/zfpj3kX/A+2DeB/M+ mPfBvI/8Bd4H8z6Y98Hok++APow+zPPkQ/A8jJz8CNZH7CfYf8LsP2H2nxJv NeizHkcfRs76nPUu+SXsX2DW21o5+QSsv5Gz/pb8TMP6W/I5DetvmPU3TH+A sY/yKJ/8BOQwcvIRkMPIyT+AyS/AHuTYAyPnefTJN4DJJ8Bf5PQX7fPkE8Dk C/D9tHLyA/jePI+cfACpH8PzyMkvon7lecN6n/Uy63OJ7xv2F6wPaV8w7Vnb XrTzEXL6C0x/g+m/MN9P2z54P+UxXyCHkTO+I4eRMx7DjJ/UP4yc8Q+W/HBD /cPIGY9gxheY8QNmvIC1+dXy/42h/ujvxPfIPyYeSD4s8UPyU8kvtoq/7TDf LF3ykdP7db2bMCtD4u/kLxKfJ9+VfGXnvQ5up/3U8aZn0aJxJuUyxR70+b+K fGjaD4w/2v87YMojPkv+M0z+szY+D1M+/YHniQfSPrAX+2l/fC/eR33AxA/Y v7NehHkf+dX0L21/0473Wv+Q4w/28n8MTLwa5v8ZmHg1zP81MPFqmP9vYOLV MP/nwLQ3bfuBaZ8w34/1Ld9L8tMN8RiJjxiY54nPIIeRE69BDiMnfoMcRk48 BzmMnPgOchg58R7ksNZf8uklnm/IT2d+YL5hvIT5/uSTw+STc/6A9tTyVuDs NSX36aIquX58vSRV+iPzA+2JfGyY8Yj5BDnjB+9nvtD2F8YbxgvmE+xj/IFZ v9A/kPM9GF9pj+TDM18yn8KMv7Rv8t+ZP5lfYcZn+gv57rJeMsy3MOM3/Y/8 dsYrxhvGN7jQ8R1bFte6rFvwe8bJR2fTZLxBznzE+ob1Csx4zfkJ5iPWL8yn MP2R8w7Mx3wv+jvnCZi/+T6MF5wXkPne8D0YbzgPQP9mP83/ufxfTXthPKQ9 4T/fg/HPolUtpUKT1K/2w8QXsQfGfhh/YfoTzPeC+d4w4zt8LCa1m1IjVdYn xAeQEx+AiQ/AxAdg4gMw8QGY+ABMfACeMruIg9NRvayHpv3aPsnFV13/9HDx GnA4KknWN+06/rx2/OD4r/Znno4WbbY0jpX2cXFfrXo5yitpD91OXy62IytR 6r94z27Lj0xMVrTnF7yH57hZHn0g6xXmt1d+l9dkjkxT7KeZlbL4Mi8nrTtu OsB3m27Iy60TG5qkKve33E1YZHFayaerHmjmpVfSM3rsmfv+htL7B6f3G94k KSPzvXX7rlKI0sh4ev2T++OVJYtu3PLJiVJ8Pt72j+tzX1fffvXBJZPTlZpN qjUcbBKk810+2S30VzVe+e86TzHKLMgopnWKMjJwWmKXS6r8Hz1fQfts+8v8 VlbrghW79ZO6jbul7mfyOn+Rz71PWFKTL/tYuy4+L+6r+dPfOo9B/3Ct9GrG 0zVRyoOk0hufuqr7nW1x251Mc2OVOnaPNiiLohVH44kTnvnGKjYTpja4eeif P8/h+HRmr12xLxVtfva3znfc+r37x5zgCEWbn/2t8x5pg7vfqlA5SNHmZ3P+ o0uF8hfqVn0o8+U/eh5E/n8NN2pQ43d1fZq/VeUT9oev6zr+br/1t8Q0pWB/ 252XhvvrfFbWnTMxU93v105pZtml25f58Mia4akJT2Q+pf+tL16ywPqGmbK+ JV6uPV/SeZf5/v5f7NCeP/l7z5tc9kld3319suynKO/GkT71ve6o7ftb51Fq nck/9NTjBNlfMd99TL7idOBCxFfnVZjfcu4k1bH5RW1P3zq/0m9eG4eAFlEy /7N+8KqRdaHgXbX9MN+vHZ7PqUrZUJn/WT8UiQ7dVOnQ1+df3juarEpI9pf5 n/VDmEfKs1ctvj4fE//dudk/vtJ9vZ46vn39uw15n59hvzQsTdEXe5qudKhc eWBDj+Cv1ktrc3xe3fXMkPq12nV6kW7DbuXxerPWufNfKrUcL3XrNvLL+mj6 9OlGg8KVGj0X/zy2YoJi6tDZcWzPp8rS6CZ+I44lKUY7AvZknr/7pV7aNvhg nKL8uLFq7DTT7Wr+wKAnz9wDnulGjanfudSxDOW7E7O8p394Le2ttpljxI4J ycK/hbyYtqpRsjI0aOfHiysCldMnwsNG101WejQyKnjSOVDZc2dlk1VTvuwX PCsta9P1hbLfzGHRsY4xyplGj26ez4hRyj640X9Is0gl/nt/R2tdvJKcf8O2 JSODldR8dTYvGZ+oTLLZ6jm+rZ/i7mvWqW+C+v05X5TRNze3bAFPxcV72cXc 3nrlTWA348oLDurWtk/93bR3mnLnTqdrPbNCdQFDvEpVMMpUSqf0bDHkcJjs b2+Pd6nm9Lf/PcZtm+Sh7FTs9gTW7F5YL/7ph8yonG5+Rrkw8v6o9bHqfndh l0GZXd31So7Lk8vz5178av/7rfNN/+z5jabrbA8FZU7QLajepozLd+r/odrz y/L/k2F/uW/de//95qlKxUDz+nFhZ3XHjo86ZuSclud5j6up9uetp+6V9Rrv 7xfv28mlupo/of3/h/3C0Fle5SyGnpH1n8UdqxlRJdX9dN8hD187lU1VAkaU zcxeeUxXq2rI8hbpeokfXsoqbLQz/st3P7/1Svd615QV8cv6je2ml/ihnV3X dTEV9YpuQecju5Y+VMrMvlr3xecUZWu3B8Y2v3grpjvm2l1rpcYTp40ZUG3o Fx7c5af2+uv+Sm9nq4ysWDU+ePrcodFlDiQqP1W/fCZgefhX59eoz6BHbkN3 v0hTho1O820brVdsN93YW3D+Rd1OC5c1MUVTlUXtC7XeveGUju/Dek57PvC7 fmk7K106Ie3NxDZknnt596/Gd87XMb7wvvUHvtc3nnxVff5gpaUTPb2E32+u utt1433hFZudbAvG3lX+0fNmjIeU79Wz7rHZ5fzkfZY2xzNKXHssfHlVdffr 2U+Fl6wKWz7TRGXGY95XbdyBJvVaB4t84Li4fnNLhAhntT/5uWHdCGHP9lPC I2zDhZkPJN+rZrO12ydFirz71p+ezTKOEt699A8zm4bRwos+L65S98ZLYeYn 3vdQHzXLyCdG5K9m5F9Z3zJWuOXIiaH5O8QLV37R6X54cJww8yHv+9n3SPVL Ma9E7tDL2/xFrwThIKsmq68MSRK+dK34XMfURGH2Y7yvX+e9bRyLpol89Hcn 77hZq1wk98XM7Z3S1fZh5Re/tJTKuTYLWzyp9mWcWBhRs2iOh7Kv0+KmHd/p ld6VvPtWybks8RvKc21h5Di9Qoboe2SVrrq8h8qDkzvcm2GbKdzNrFnbYVVV Jr7D+9Jqj0/oZpIlcqPYubOHD1T5SLh7tR7Ds4V3VXXebllfZeJBvM+63APr Oo1zRN77acj9lmNVzvEuNqfupDfC8cXeJ5ZprjLxI963Ob+Z0+dWb0X+xy0r 43IzVO7iOeOh0dx3an94P6JdirXKxJt4X0T6ltdhnd6LPPmM61z9QpV3HA2o EbH0g/CqxJvOD3qoTHyK95m9zGx/0fajyK32F3z00EHl2F2W8y9tyBUODKmb cnCgysSzJD/Sf9CubcM/iXz91kkmbttUbrbWxcdx52fhOg/WdVw6VuU/ez71 8LiQ2cvX65XD85aYlyx6R0lZZunW4he9Ypm4rH9R27t/+vyqeeEn42+dTFH8 Gw1KS93o+z9+nlUZYvWylvNr5Z7nhP6O/Z4p23qZbgxyTVIsW3t9DDUKVfZ1 3eF+1zZJcTTbPNHuSej/+PnXjSYWg19kx0p80eFKr8iLtWKVzuf71f+51f+9 87H+oyNermp4WDe8fuQ8q7/lvzp82Vtu3SLsN7FQnzj3W7qRPXav2187Xal2 s9M80+LXdFHDNlrWep6mtLda2uRCkF7iWxP6jmlU79cYiU8Sj715xvxGObsY xbaps2nk6JuKZcCUJeGX1Pjqoo8tmk6oolearWvrO3XHHYmv5nX+lv3BYuvA Z7OHpivlz+cmt2tzW+KtKyqEVbq3Nlh33K+2/YPranx12cgtPxbIzFAeLjnh 8e5JnLLbpsLFPZ4vlVdu4+csGxWtbA47ZB18NFY5Ft1x551uz5XUUxNSy0/7 ss93H/Cs4+AgJV+JXO95RZKUQgVG3fP59FC5/rRdZ4dVycrWNPOAUkY+ullh 9o98T6UrZb+ve/OO31WJ78n/GdX8G3fel6ac6lXy45tZl3TF3o99eOxKmnJ9 W8Pibae+UqrVPLnAwjxKKZrr7t74UrIyccuMSU/cA5RF2XtqZLxOUEo6Od2o 0eC5Miw8wqfm+ihldr8CUYVLxysuzb08nUaGKtfPvHZz9UpQKu4bcTes5RNl +oorOy17vJby+X6sz6k/4lkw8S6YeBhMvAwmPgITn4Epj/gl5cGUB1MeTHkw 5cGUBxOv1MYnYeKTMPFJmPgkTHwSJj4JE5+EiU/C2EN8AXtg7IGxB8YeGHtg 7IGxB8YeGHuIb2APjD0w9sDYA2MPjD0w9sDYA2MP8RTsgbEHxh4Ye2DsgbEH xh4Ye7T5S8RvsA/GPhj7YOyDsQ/GPhj7YOyDsQ/GPuJH2AdjH4x9MPbB2Adj H4x9MPbB2KfNnyJ+hb0w9sLYC2MvjL0w9sLYC2MvjL0w9sLYy/yFvTD2wtgL Yy+MvTD2wtgLYy+MvTD2avO/iO9hP4z9MPbD2A9jP4z9MPbD2A9jP4z9MPZr 88+IN+IPjD8w/sD4A+MPjD8w/sD4A+MPjD8w/sD4o82PIx6KfzD+wfgH4x+M fzD+wfgH4x+MfzD+wfgH4x+Mf9r8PuK3+AvjL4y/MP7C+AvjL4y/MP7C+Avj L4y/MP7C+Avjrzb/SPv/nTb/kPgzz8M8D/P/BOeF0IfRh9GH0ed8Efow+jD6 MPqc/0IfRh9GX3uen3gk/3fAxFfk/xRD/AMmfgETf4CJH8Ds/2H27zD7b5j6 0+bPafMb2T8Sr9LmM7K/o/3CxMvYz9HeYckPNezfJP/PwMQD2a/Rn2DilXLf p+F5mPfD2CP3gRrsh/EX5nvA1JfEww31BVNfMPUFU18w9QVTXzD1BVNf2vtN +T+PeDLnb2i/2vso2F/ArP/xFzms3R/QXhhvYMYbmPEGZryBGW9gxhuY8Ubb PllvUl9yf6+hPpnvqW/mT9oD8w/thfGa9sR4Rnvje9M+YdozTPuHGb9hxm+Y 7wnzPWG+J8z3hPmeMN8T5nvCfE/tfbfa/ELGX/KlyO8hH4p8HvKdyN8hn4l4 BPlG3L9KfIP8K/KHyK8iX4j8KfKDtPd/Eq8gPqHNJ+U+C/or/z/wvWHkxA+R w7yP+2p5nvggz8M8T34V7ZX4HvUPk7+nvU+W/gxr83fJh6K9Mp/Acl+HoX3L fR0GRk5/QA4jp//IfSAGRk5/Qw4jp38ih5GT30V+J/cLwNzfAXO/AMx9HjD3 C8Dc7wFzvwDMfR8w9wvA3P8Bc78AzH0gMPcLwNwPAnO/gDZ/mPuNJb/YsF+l /5CfDTM/Ex+iPxMf5P9i8gnpL/R3Oc9p6E/kZ8PkT9L+mD/Ql/Odhufpf7C7 zrvgsAuZos/5TvTlvKfheaP5G+vsGKTyMLPenXzfZYk+5z3Rl/Of3K8cXWp8 ob0ql979ZKVirZ7/ZD3G92Z+YzxiviDex/dCX86zG1jOsxtYzrMbmPUj7Z31 kuRDGZj8Z/JxWU9SP+QzauuH/7tpD+T/Yj/PUz77dfI5ye9n/UB9wvjH89jH +Ed8jv5L/jVy4mXIyVdGTvwKOe0ff2l/fA/sQ0574330B8ZjmPqm/8DMR+iz nsAe5Nr7P/7KJ/3fnU9KfXhYL/ppuLv+m/mkPgH1xif+G/NJv3UfjDbfM698 TW0+5j+bb6nNl9TmQ2rzHbX5jdr7bP7b7qvJKx8zr/t98rrvJq98zrzuw9Hm e/6r78dhvGR81OYnafNLtfmkeeWH5pX/qc33zCufM6/8zbzyNV+0HDmqTcLX +ZkhBy89KbEx5f/8fT/a/NIqoQufevmq/99+674VxuO88lH/7P1B/+r81a/y VfPIp/vfms/KfTb/bL7qf1p+5X/b/VDa/NE/e19UXvmm/+r80L/yPf/K9/wr 3/OvfM+/N98zr/xNbT7mn82XzCufkf0l4+1o+2O9yu1Rz2Npz4to75/7b79P Tpsf+Z9+v9yfzef86/65/+z75/LKn9Xm+/6782m157G059e0919q82nlvtvj wzxXZc/R/avza7X5zf8PZDeVSQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwBnAJj/SFib1JiAgAAANkAAAADAAAAQjoxJGgjSUgERDsyBgECRzw0CwYH FhESTUwIDgkKUVAMEg0OEw4PVVQQBwIDCgUGLyorFxITIh0eGxYXXVwYHhka HxobZWQgLikqWVgUbWwoGhUWJyIjaWgkKiUmKyYnJiEicXAsJSopGh8ePjYv OTgwMzEBOjICOzQDAQYFAgcGSAcDBQoJBgsKTAsHCQ4NCg8OUA8LDRIRYWAc PTUuERYVEhcWWBcTFRoZFhsaXBsXGR4dDhMSYB8bHSIhHiMiZCMfISYlIicm aCcjVBMPIx4fJisqDwoLAzQEcC8rDFALKi8uATECLzYuAjIDNj0uNDwETU8M MDgvQDkwMToCMjsDNTctYWMgLjUtRUEzdU4If0AwB0gIOkMyM0ExTk0IOD4v SEkIPD8ECEwHdEoESUsIC0wMTE0MSkkEZWckD1AQH2AgVFUUUlEMdlIMUVMQ EFQPd1YQE1QUWVsYeFoUKS4tFFgTF1gYWFkYWlkUVVcUYmEcVlUQGFwXYGEg Xl0YeV4YXV8cHGAbemIcUFEQG1wce2YgXF0cI2QkZGUkZmUgbCsnIGQfBEgD O0Y08fKAoew5L3AwcHEwcnEsfnIs67Y4bW8sJ2goLHArkNVb5pty2pNi77U2 sfA+a30o4Jdq3ZVmlNtj45lukthfY3sgX3ocW3kYbm0ocXMwP3QET3YMK2ws aWsoKGwnamkkfGokbG0shrI/isxPZ3wkU3cQV3gUiMlLb34sc38wS3UIjM9T jtJX8oWAfW4osO496rE+u7pCzotSs51AuLlB0Y1W6bA9tJ41tqA4tZ82mOFr nOdzmuRv15FeoqE5aGkow8RG7bQ1xsVH6IQ3yIdKwL9Ey4lO1I9alt5nvb5D ujy6cw== "]], Polygon[{{135, 199, 73, 74}, {137, 202, 77, 78}, {188, 192, 68, 50}, {139, 205, 81, 82}, {183, 187, 66, 49}, {133, 163, 60, 128}, {194, 198, 71, 52}, {141, 208, 85, 86}, {143, 211, 89, 90}, {155, 229, 113, 114}, {157, 162, 57, 64}, {153, 226, 109, 110}, {149, 220, 101, 102}, {238, 237, 53, 61}, {240, 239, 54, 62}, {236, 235, 56, 57}, {164, 200, 74, 116}, {145, 214, 93, 94}, {147, 217, 97, 98}, {186, 129, 58, 66}, {191, 130, 59, 68}, {197, 131, 60, 71}, {151, 223, 105, 106}, {199, 136, 75, 73}, {167, 209, 86, 119}, {166, 206, 82, 118}, {170, 218, 98, 122}, {169, 215, 94, 121}, {174, 230, 114, 126}, {193, 184, 65, 69}, {185, 183, 49, 65}, {171, 221, 102, 123}, {211, 144, 91, 89}, {163, 134, 63, 60}, {214, 146, 95, 93}, {172, 224, 106, 124}, {175, 179, 64, 127}, {130, 195, 70, 59}, {196, 194, 52, 70}, {190, 188, 50, 67}, {202, 138, 79, 77}, {208, 142, 87, 85}, {173, 227, 110, 125}, {129, 189, 67, 58}, {205, 140, 83, 81}, {165, 203, 78, 117}, {231, 175, 127, 115}, {222, 172, 124, 103}, {217, 148, 99, 97}, {178, 164, 116, 63}, { 229, 156, 115, 113}, {160, 234, 62, 56}, {159, 233, 61, 54}, { 220, 150, 103, 101}, {168, 212, 90, 120}, {158, 232, 55, 53}, {225, 173, 125, 107}, {223, 152, 107, 105}, {204, 166, 118, 79}, {219, 171, 123, 99}, {216, 170, 122, 95}, {213, 169, 121, 91}, {228, 174, 126, 111}, {207, 167, 119, 83}, {226, 154, 111, 109}, {210, 168, 120, 87}, {131, 241, 128, 60}, { 201, 165, 117, 75}}]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHW0lkUQxr9dFVsEDPQqUl4pKeWCIghISUorigoGyr2XKyBesVDs7sDu 7i7EQkRERUTk2N1xDAwEfX5nnvfAH8+ZfTdmZ2bnmd3vazKhZvjkXCqVbk6l 0jqSJ0q+LWwt3CVcKpSEc4U/1Pxb2F/tlZIbS54t/K72X0JTtesJ9YU5wrPC ROEF4XmhUnhJeFGoFs4QThdWaO18yVeEKcIC4VVhmjBXeE44UlgovCZMFxYJ rwu1wpvCG8IMYbnwnnCqcEAKG8uEJfYL/5YJ7wqnCEuFd4SZwjzhZaFG2M5r NxGaCJvbtx2EzYS6wvYe31RoZMnYYuEt4Xihseeyfi+ho7CL0MxxaiDsKGwh bCm0cOwbCq2EbYRthZbu47vcc7cSdrJkza7W21wYZ79bC+1td2Pv3dTz2ngO vu5siU8dPBe/O1kfNvb2evbpIbSz7s62CVu6WOLHbpbYvrslPh1ou7padwP7 X+F90NXdNrUV9rRkvz28Ftt7en/s7WVJfLt5nPV9bG8n+9PR84ozw99+3hs/ 9rYP2H6QbRwo9Pc4Y+Rvjc91kOdg1xDvje1DLbF9gPURg2GOHbYPt8T2wdbB +hHuI19GWhL7UZb4NNa2ohsO/ikO/SaMUbuvfdrPdjNvX/fxvY/twg54DXfh MByFl+Qw3IVz5DcchffwHz7DC/g/2rawHxytdFzhEDwm5+E0PIY7cBrukvfw uNZnD49nOAfgMbwhv+EQfCW/4S4c3dp6OcvG1tvU39hFDpfZ7u39Db/hekP7 toPPvq518E09oGbAr7Ze28i2NvMefLfzOLaSq81ta7m/C06W29YW/mbvlv4m XuRjhf1v7j0KHrbx/m39jU2tvB5b29sObO/g7zKva+2xRp6L3XC2o9HEfQUn C44iu3gO+dYrreFzZ/tWYbvL3Vdh3b29hv3JX/IYzvXxWMHPnraP8a72rbvX FLlO7pOX8KTIU+RQ20Iu9/fe/RxLdMHDgT7fap8tPg3wmvbev4dt7+/12DLY 6wtODrOffe3DxcJkYXVpDbeH2KcRXlPUqe6Ofw9/F7wd6T3hJFykthxm27Fv rMcuFCYJ/5aiTh7qmI0XDk/Buwkp7mDy/ZAU91yZ9R1onawb57X9vOcYrxtv PQfbDuLG/TtVSMJFQpWwqhR3d5V9h1PUBDjO/X6E7ZzkftrdHJvBjh97jvaa Sp8PdlNHNrGOibZnrn1n3ws8Rv9knyk29LG+Ubar0vPvkLxE+K8Ub4zJbp+W gtcbprjfj0rxnqGGUKPq2e8p7idvajx+ieej56QUtahOijfRVM8/JkVNy8Ll /qZ9dIq6l7wH7foG8+H9Qs9fRzg2RT2kTT2hBlJLbkuRf/h+XIo6ua5whdcw n/pBvsK5Re5nzmW2Axu28Fp0815C13rCCd6L9pXuZ+1VHqN/sdt1bHet9S2w /mxbiQ81b3aKeDH/auFkYX3LmW7PSlGTN0jx/uOO4X5Z6nn008cb8Z9S6GVt Q4O11MVrU5wx53u+1zD/Gu+BnmVuM2e552/k9eTGtj7nGp/1DSnyj9w7J8X9 yh2JLWdZP7Zyd3JvLrG/63sua7iPb0rB5399vzLGHX1eirXcqbek4Bs5fKb9 XWHd53nf0+0b85v5nKm78Bv+l/kc7vVZDNODvm6OGoBPL9qvRyUf87lwno+6 zfhLnlPtb3jAewD+rzYHmVNtPO/+Ks+Bhw8LjzhniNP1jhXxvs4xp4bd4Ng+ lCLn1rVds20POq6yngdS5Dp5Dkd5W8C7D4lDDv1POM+I/1Mpzp5zp37c6Pg/ 41whBx5MsTf7wkveKMmxQn9RG+iHu7yF5lgPdY63DvVsoseKOjbHfZWew5nW k431c/jdWfLTFDX4b2FEjvr7hzA4x3n+KeyTo47fk4LDyX7ctJYNz6Y1tZe6 SR81ab5tJ5/nreXTPMet0mdHHX46RVw2tL1zbfMsj9H/eIr4EtuT/F1w+UnH +UnHnTb23Gw9yFvcps7d73OEc+9aP+/Ahe6v9Tdt8nmBz4eaRM2ifk33HOrQ MV473Wt5RxZvyDedPzPcz1lT53hTbuX2G57D+CLPOcW2URuoN2/bX9ZRBwvu LLaOEz1G/6u2OXvdEq/l/bnU8Znp76KGveP+kz1npuO8xLr/EUbluKuPtZ21 tnGZY8hZ3+nzvTXFnVFw9vYUvGb8Ls+h7w73kzN3p8gx9D/oOFBL7rMvnNsD Ppcq74F+1t3jtTMcT+4XeDPf/dMcF+69TvKjQ45a1kqyPEetJB/4zU4dbqe+ 1jlqH+f+sM9ouvVgzzSNr07xjqG2LF9LB23qzMfCjjnq0CzHinj/JgzI8Wbq KfldivpC368p+g8i3jliNl5yQg5fx8HLHPHbT3JsjhzfH3054jJFcmoO/vSX 3DtH7esiuco2w/XfU/B9d7U/T3FPUA/+SlETDqF+5zgH6sGKFDXhfaFljnvh A7Xb5rgXVqo9OkfNnSh5RI6zrJE8KgdHD6MO5TjPz1LUI2pRgxz1lFraMYde dDZX+6MU99JItTfP8cYcIrlZjrtnoOSmOd6kYyT3zVGrOOddfNZtctiNzdVq 84cTdeRIyUk5zrhC8pMU926l2lU57idypIXzZCfJ9jnuVnJkZ+dJV8kvUtyj nB+28MbcS/0/pLhLeqj9bYo3Wi+1v09x9+DHIPuCH7vZl/s8l3zbU33fpKjF 3dX+OsUbsJvaX6V4JxKb4Y7PHpJfpni39VP7lxR3T1+1f05xP/VR+6cU99Yq 5zS50VvyxxR3IXf4UN/j/wN/LAyB "]], Polygon[CompressedData[" 1:eJwtlOdvj2EUht/nqO2LvUeNGDESK/YeFULU1lapKqpaGhERERGhEXvvUXvv /Z/4YO89SxFcd87z4cq5z/v+fu9z5pOaU5ReaEmSTIAU+BSSpCUP1mAPwEdI xV+N3Q8foAX+Kuw+6I1+gs2AHPgLNXmWh50FY9BfsZkwG8bhf8dmQS5UxB8E O9EXIB39AzsD5sADaMWztdh1UBc9DUrR+VABPQC2o89ACnog7ECfg8no2vCL 3A7h10CPNM/tHkxCl2OzYSbUwZ8CR9Dz4tkPsSXBY3gDTXi2DLsLvsFY89yU UxX0UNiDvgbV0MPNa3ULqqKHwV70DWiD/h08tpJY+zQ4GLwHP2GieS0UY3d0 D9gYPKfO6C6wAb8cvxJ6sHlsl6A9ugOs17d4Xx09wryXd6ATuqP5O31jKvof 9mjwGpTBePNeqSeV0UNgN/oKtEO3Vc8SP6Mbuqt5LIqxGXoBXEevgLfQFH95 8G80Vm5wEb0U8sxzUOx69hh6mc+SZuw+tDafhTLOKDbvqXp5N/ZmLlwO3qM/ 0BN/E/YwFJj3QLVXTI3UOziPXqKem+eo3PSNXPMZ1WzqNw0VC5xFF2tmzGdQ s3c65jYfrgbPMaD7wVb0CWiAzjb/7SLVFG1wCn0S6qOzzHWhdsp8pjXLOjPf fMY0WzrjPTTHXxl8prTMmjnN2s34bqG51m+eQT38AuwWeB17oNprB5/HGHS2 Yn4ad067thnexZ6ql5rxV7GGqp12bhT6s+Y++Aw/ijulXVIPXsQaKPdt8DLW VLXUDqsW/c3fqSa6a4rgdvA75wuMNr9rdKdoVvuYx6aZTdB9zXM7FvzuWmw+ G7rDMs17ol4cVw/Md0K7oDOmm39D/y2Ntcow/61qVst8pjRLuuP+A3qKnX0= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHecVtURhTcXC4nYkChFpKkxtqgkkUCMRiEKKqIIikpTkI7CIioiLXRF 2lIXll4W0EVQBARUAqKAYEsgKkWDwSQEaWIhyTme8/2WP2Zn3n333TJzzszs V61NtyZds1KlSpXGn4Dujz/3pFKlnsVzbdi9MtkPwe4GWQf7BuinoQdBqsLO g+4LqQf7KeiBkOth94buD/k17Ceg+0F+C/tJ6AGQG2H3gf4TZDNkMOQ5yKUY Pwj9LmQUZAhkKORijB+AfgdyOexD0FshV8M+Ar0Ncg3s96G3Q66EfRj6Pcjz Xp9rveD1hkFmQaZApkI+9P7jIGMgwyEjIJMgoz021mMjIRO9Ft/lew+ed7zX 4fPkk7772Gtzv79az4QU+Jt8n2Ocn0f7jDzHNL+fAJluzf0vwx2/ht4CaQf7 kdCehX7Psx+wL3n/2d6De871ulxvnjW/+xtkJ2QGZIfPOB+ywDZ9ttCa6xVZ z4EssubaHXCWR0Nrf+o1lkBePGm9l6y5Xn3MvQWyNJMUeb3dkF2QxZDPvMbL kFf8fTFkudfl87KT9pngmDBOe/zdikzYJmaJ3U6wm4fW2+v3qyGv234N0gXv W0BWwv7C79dm4gS5wbkNofd5vCfsHpDqkIchZSBfYfzfkH9BNkIuCvHnmUzr LvM9yBdyjtwjj8gb8ofcIZ9628cFjh/5SM6Re+QguUWOkV/kKLl60Bgh/v/r eNBH5A25QkyTT+TKMMto+40cIreIw6EeG2U8EePEOjm3KRMvOG+Mv+e6Y/1M ITYn+RtinFj/wHNG+pn4nOK18z1vlGOZ7zuM8vvRXi/HxYmeR05s9Xk/8r7c I4c5YoNcKfT3OV5Ns8y1j7leod8VeGy2z0f8kw/tQ9z7S1bCJX6/0za/n+89 l2Ql/MnxaYHf53vvgqyEVwuzEl4V2RcF9lHHEMc+ycSzRd632N/lvi/2nbc7 TiP9TLwv95mIPXKjc4gPn/u8y/2uubG/3PPICXLjFvOm2M/kAbnRwpzgvLth NwnhnlxZ6zldQ7z6O+z/ZMrrxFR315ovYTcK8Wq/z7HSa/Ywn8gjcmwD9JuZ 8sRS++tUjB/NhMsij/OcxDZxPtxY2mKcVMP8bzLhcajxw7lHPUa/jbAfczjf 5rHjmeoH8cs1iDni7YdM8SEOvs2EEWLxu0z1gDg6lqn+kRPfZ6oNxMWJTPl3 vv3yrs97WmjdXI6mLjQmiBvii8X8M8fqdNj/s28esF8ZmyyU7xiLM0J5ljn2 Xsefcb3P8aHfk/PbG5AI5cG19tMh+6p0KM8SCy0dN84pF8p9Gx3nA74TY3hK aHyzcTDYPr8u5PeyoTlf2QcH7QfG8PBJcTjiWOz1OVY4Jsfs2w8cm1wtPu54 feTYTLbvv3NcdjgeM+3jH7KSWnbCcaGPmU+X2L/0M3G2xzGg/zf5PsTMF/Y7 fb7PfqR/zg75l74913d9C9LatWM97LtCvuBzm9C78vYduUUOVA7hfpP9Ws7v zwutyzUZh5+Yj5Wgz/L8c0Ln4BlYv2p4fvL4PzLtXdbnYy75qb+lrmS7FvTP IH+GXcFn5Pnb+twVvd4FXrMm9Pmez7NU9jp5rp08dy1/V94181rXTeLokhAu OL+K93o8VF97wr7Vd3nT4495jRquzxzfbZ4whswHrB9D7dPq9iHXvtDrX+s1 +hqDV4UwSGz+PErW+EWU8OOKEGaJ01+G8gh7LfKZ+Kroe9IP9F/Nk+xavju5 yZz7aqb+gH1MnrnG3LrOY7/y2dg3sJ/g3N+E7H4e4zP7DPYT7DM4t07I7u+x Op7PfoL9B+fWDdkDPFbX83P9R673uCnUf3Dsd57PXoT9Cuf+PmRzDufyG/4v 0Mff5+ZyHvsbrlHPNnn8hxB3Gcc7jVVyj/4ptq5vXzWwvdQcbWCbY3/0HPr7 NmOR3GxoLuy3vda6kcfvsM331Ld7nHni5lDe57ka+2zkG+vgBmvWxbfNxaah 9xy7x+NNPYfjrHnMJayBjG1tx454aBYl+Zp1mjWaeZv2Ko/xmTn8fturPIfP ufzOms19WCNor/EYn1kvHrS9xnP4nKslxN5qY7iNscqxlvZbK9vrjNVW9ltr z/+nc0tr2+Vtr3cceU/ej3Pbeg7v1cl3YY5grmBeYh5nb8e+rtD2DOt2tlmH aU+2bu9x5nf2UuyjFtlebN3BNuNKe551R4+X8Rl4Zsajk89M3dnnpD+72IfN fC9ijzHo4hhxrV3en2NdPf9c/F9+ehI+6fdujktPjE0L1bonYReG6tto2MtC 9bAr7I5JXHoeemmoRnWA/UgStx6GbpXE55bQLZL43xT6riTc3Q99b1Lu6AHd LYm7laGrJPn1FcbBmByHsVdDdW8w7AWh+nkH7NuS8uhqYtx3uhBjVZN8PBB6 XihHHoaeb/sZjM8K1erXiAVjuAjjH4f4vQz2klBe7wd7TqieD4O9KFS3X4K9 L1Qnh0AeT8o/V0JPDfUjs0P7ca/pIV/Tz504N5SLhkH3SeohZtoX9APPyzvw zDNCsfkxLqG9uS/995h9uBlydVK/wlh1drymQVdLwjzxlWeMdcfY4FD+XB6K N2NdAfq8pPp3AXTFpDxZC3pyqP8qA3tdqC9gTavgNReHfET/LAzFjPFaEYol 4zg35FP6cxXsCUn58mVji7iaDL02VHur+MzkKHM1ewvWVNZh1mPW6PKYf0ZS /pgDPTcpd5aDPjNpjV6QsaG6fxXG3gn1ixuhN4T6moPQX4f6kSOQolBvuxLz T0uqpaMYn1B/Npy+CfVwJ6DfhpwJOQoZaW6u4dqhfFUpKd6M9QDo+5Lq4yDY bZNqHHHxaBI2GJ8uSTEaCPuhpFqZlxRvxro/7O2hXrMv7K2hHvQ96EPOS/2g b0+q6U9Bbwn1r0Ngvx/qR+m/pfbhAcg5Sf3VN4yLcwhjtTIUL/LmU3NnEn0Z qkXFkOeS6iJxtz6EPeZW/t/FWsb40WZflGFO6aT+8UvIwqQaVtUxzvN3Pf3t RY473x/jXqHcuJ8YC/Wv48mbUK/8PWRMqBd6i7FN6h2PM5ahmsL8sTuUQ5h7 dobyzy7P45yJxHWo5x5DTof+T9gLmZVUv3f4TDzPt9B7Qv3vJyE/0ocjQrmG eaaxOcR7nYKxN8yl2bA/D/UITZLix9gxj97tXMpc28b5tnUSPn78vZT5Nal3 pA/GJvmBebe5cy/P/kLS+W9g/k76vbMs9OuhuPOu+Un3vQL68qTfVmtDX5f0 22GzpN982UsUJuGemCe+eiVhjD6YlOSHdklYJ85ZN9q7djyQxAdy4Rrm9aQ+ uCCUT5lLWU8edE25jPdL6t2nhHIT89Il0Bcn/dbLOvBhqBZUhz09KVcwt9Vw frsTunHS/4rMbTW9zhPQvZN6RNalbaGcPIh5O6k/Yy09O6mekn/PJnGQ/Hs6 iYM3c42k35gbkn+h/DMF9tSkfvGsJIwSn8xJlyblpTrQ1yf9Vs1a1yip3p2a lI+Yi4qT8jv5dSs5l/Qbdn3oBkn/J7DOdzeGXwzVNta186HHh363qAu7XtL/ GDdC35T0Pwlz29Ck/EZOzzCvmf9GJOXA+dDzkv6/ZC4ZkJRP/g/jtFYx "]], Polygon[CompressedData[" 1:eJw1lnnQz1UYxV/f+xShsmVJGWLsRbRIkpAoUpZRJi00aZF2lK2UyUQlUgll V0qbbCmhPe20KEpFNA1Kqwp9zpzbH8d5zr33/f7ufZ7nnqtO/+t6DC5KSkqm gQBT+WdlKin5gcGAvwezGesKnwsmgSroI+E3WLMFXoG+Ht6O3gYfjK4K1wJX El8F2hLfyXwv4t7gJPRo9Fb4IPQR8HmglebAB8w10T70O+AwfRdcwFyf8N+2 Qj8DHgaHgC2MXchc3/Dc7YXnxoMDhdccHt6j9nY0qISuDKoT72DN33CBrgSv QS+AHwJlwFfoV+C9ybnR+i/hZawfpFyhd8Jzw7n6EX2f9ojuB69CzyB+Apyv c4NHwAP5bGXBv2Cf9gneZv3TrF2av91H5wBDwEh0BbgD8yPg39DN4VLhQlZM PsODyjP4nfnS8GnMnQo+RB+Lvg20Ccd7Cuf6LbCzcM4ngkeZ7wKvZWy9fgsc Chahb4VPDtfql8K5ukfnKJyzs5g7E3yMPl41Jq4G1qNPQLcnbgc+QjdLPkun 8FqdaTh8RnjuV/QUeBz4k7gO3JW5c8L5aInuR3xRuPat0feDZ9GXwqsZ66ba hNeO0n6JlxNvJU7wAPTloA3xGMb26Hdz7WeBkcQ/g/LgE/RA1l4RXqsefxNM BeVyDheEa6zaquajwP7k2mnPPZnvEd6L7kR94qHwLnR9uG04Bzr7cfAp4Zqp Vk3hi9GXhM96h3Iarolq0TjXvns41+qB/sSXhdfqjE2Jh+lM6IbwZPQS+Dt0 oe+Ad0DNfObNYDlrBsPblBPimWAZcWfGngR3o/ehN6t/1Q/o/cRfgxdUE/Uo /C36RXgSulT+zc/g59Q3+c6+pDsSro08aTpxuXxfz869dhe6Y+65CcTPJ++l E1ine5jc+0dpf8xvh3uBnsne9h3cLdnj1JvVw72lHu0crrlq3QKeE/YIeYP+ Zi2YFt5LPTA/7Gnysu6gNnpeOK4LloEp4dyq515P9gR5wU/oscS1wKbCZ5K3 bIRXFvYY5X5TspeoBjN1hxn7S7kr7MXf5F6XJy9WPsLfHoDeDXaA3rlH5U0v J3t3v3xXViV7l+7MHPWszoz+AiyRdyTfhYHwPPUdY/+gN4KFYQ+TdynHj4Fb GPsDvQHcSHwTaM/4WPQI4tnEnxPvBdeqt+QJqit6adhz5DVXwzforQnPtc9e MBTdIXvCMOIa4NPCYxOJF+deU48NQl8Tfova5d4+kO+jelxe1DHspfKk8cSL kntXPbsheU/ai2qUiA8LvyWV891el3utQs61eq7n/zknLht+O9TDi4hX5LvU F66IrhB+WzU/GVRF1072i3rEDcLe8C761dxj6i159OrkPWkvelPXgEBXSX6T 5f2nh71Eb4De2tZhL9GbW5f4GHBz4d9spLch7A3r5OHEJ4a95X3d53CPqbf0 fwK9Pa/BNZLfoPLoXcnn1ViT8Df1rQb6G+Ka4dqrZtMZa4beTfxeYS/Qne6U PeHenLO++U48pZ5Nfvv1Jk1IfjP1VsqTWob3rL02SvbWxuHflsfK+1qE5+SB equ6hO+63qyPknt+YO7R0cRzk++Cen4Men5y78vzyoQ9QV5QDQxHz0q+m7pD 49ALk71RnjgE/Xjy3dAdbo6ekXx23ZmG6Gm51sqJalk6/G3V9D+4EjqU "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXe81/MXx2913+9P5WrcVCJaRihZhShJaZCRosgoe1X2nj978/v52Xvv +bPahYymQhSpUEJ0lSTxez0f5/V93PvHuec9zznv9/uc8zqf720zYtTAkbXL ysrG6E8d8dtSWdmXouNF74rGlpeVTRHNUftm0XDRp6JbRCNER4nGaH6y6MJc VjaqKCu7W2Pvi8Zp7F3RbLVvEh0j+kg0QWPviz5Qe7z4e6LP1b5VdKxohmgS 86IvUth0nGie+jNEM0VfqX+H6ATRQtFJohNFczX3kehj0Xz1b/dZ3kgxPkf0 qeenId/yZok+89h00XitXyH+B7Z5DN3TND5RfKroS++bLXorhewFom8si32L zLH9B9FCzy+0Haxb7HlsWWKO7KWcU/S1aJk5+8ak0POdx+Za1nLLRudPlou8 VdbN/K/e973oR69dbD1zLGujHGt+Ea0tj3ug3VzjTUUnS3+V7cOu1ZaNvN/N 0f+b59G90jqXmi+wzj8tG7taSW6lqIlofXnoQMbf5pwjp9izTvSX5bLuH89j S1kKji3lKd6Qc6QUnP2nqL1GvLZ4karl1fE4e+qmGMOWxin2o79+CpvQuUEK js4y3c0/4qcyn0L2hqKGKeRiS1NRPcuotLzCZ4ajs5HXJq9d7zvYyPOMNbMM 9O8s2kK0pWgT62wg2tQc/W2tm30tRBVe19Lz6NzMnLO2tk3obGPO/s09j+0j Rc1r6Ka9sWgrc/Rsb1nIaG/7sGsbc/RvZ93I3tr7NvGb/Oo33tZrWXea7UdH J8vmfKNF7UQ7ijqm8Cd0d7Bs+jt5DTbvYru3StV+w1vuZvvQ2UO0g2XubY6M XX0e1nWx3fR39z7OdKb37iXaw3ZgV1fP0+9pebxhN98XZ9rHY9i4v2hPz/cW dbbOfc2xpW8Ku9Hfy/tY18fzzPXzPPrvFZ0t6i7q7zFsJG+T78n7+3lsT1NH 23ef6Byf637Rub6nh0UXWv8joots779EV/ocD4ku8PkeFV3sczwmusT2Pim6 3HY9JboihS2Piy71WR8Une/7q624qyW6Su2rRQeKDhENEx0mGmI+0ONJa5eK TxI9IDrPb/ujaLno4BTYBHaBYU20vlJUV/SLxleIBot+E1WJhqbASjAQLDxC 7UNr6EbnoBTYB9aNN46AgROcf39y3jw6Be6BfzemwMwPywPrwDfwBnwEf8Ah cBVMBtvAZzAZbAMzwT0wCwwEJ8E5cBuMBefeTIGLn5TH/rnGgI+NJ3NNXztX g4FgGZiF3HnuYxN4BW5N8zz7wXNwm30zPT/PtNjYw7qF1sG+EjbOsU5w4u0U +Dq/PPIZeZV8WsJX9uDrxDFx+FUNnClhZ6m/0jllgfvfWd8PXoes5e6DdWDh Cq/71Vi1yG+13HKrLHeZcarK+1fV6K83vpQwknwzIUWdscZywaW1lrva+0s1 Afe1wvNg09gUdcC35dUYud57/nF/pXWW8ug668AfFtgn0F3Hd1rCSLCHteAR +IQMcKfwHBgBZiCLefagG1xiHbrBpnqWy5tt6Ddr6H4JO+t7f2PLBT/Bzgrr rvQc+8j/m1oHeNTEOpq6j6xm7p+eAieaWzd4Aq6Qw8hle6RqzGtpHZu7X8LO TVI1NleaWnkdY63dL2Ek/VEpcLGddYMvYE0JF7e0HVu7j4727pdwsb1t2tZ9 bNrOfXR3cL+Vz9PBZ25bw47tPXdGClzcwXaAKTvZjl3cZ08n72nn+R39Bi1q 2N7Ze7APTOlim8CU3WxTV/c7+I67+mxdvB8d3fwGZ6XAyO62DwzZK1VjbQ/b 0tN9bN3Hfezo5T5ye7tfwsXetrGP+9jX133s6+c+9vV3H3v3cx/79ncfbAEr DhJdkwJjwBLwgNwO3oAPYMcgz5H7wYDrU+R08jm4McRrmAMnDvfaYe5Xuc26 61J8X4Er/xO/wbK+E92TAr83yP6u0ppXxO/ye5PDwYJpzsnk/OnO4eTkGc7h YMRM52fywSznc7BmtvlJbr8o/u8U9X8z6V3kds5RTxPrd6aof/Gdl9wvxeFp 9qVnU8QnYy+L/puqYwaOnz6XIpba2SfOqeEno+0jz6fwb8ZeTfHdWfKnM73v hRR+1t13NNx384T4ZX53/Oxcry/3ucbbt6hVetq3LvQYPnGF/YQ56hD8E5+7 yGvxuYs91s+6+nrP5R7DFy/xWnztSstm3aWebyx76rm24Q1v9TviY/jhIfaR a1PUHmvEp6Rqv8NnPvC5b/bZ7/bdcW/4wm2p2hdutz/gO7fYf14Xf8b68JE7 7Cd8D+IPYBDv/58UeDLSb9rcb3WX3/FMvxF68d17/C687b1u8w73+S2oy+73 +3DHD/ieeZMHffe8yUN+F/wLf6vwOzzst+COH/U98w6P+455hyf8FrzVI34v 7v4x3z+xdZN9hzd/0m+4VvS06ADfC/dzoM/9rM/OuZ/z2Xnbp/y+nPsFn3dJ irgijoiJl3wOfJ/Y4C7x8Vd8l/jyq75L9L9mG8hLr9uWihx5gdpuQ3PqKcap +agnG+SYo65qaE5N9E6Kemu+19CmPmyUYx01x8bm1ETjUtQi33rNWO/FL8Z5 nLxJ/jzY/kFsUcNMTFEDMUbc0f65PPxooscne+8A0fcp+gO8n1qEmoJ6frLv gdp4Zor6mG8Y6nLi4r0U7Skeo09epb7nm4e1U1O03/XYVK+nXud7gLUfpmi/ 57EPvZ46nvqetR+naL/vsY+9nnqdup+101O0p3psuteDE5yBtTN9HuIXvyce iAW+C2bV8M1PUnV8z03VsftZqs4Z81LEOnmB/EBuIHeUvo0u1h2OLsI3ie+v U+T+cRoflCOemL8kx5rx4oNzxA2/+V2UI7ZPV/u8HHFA7byxf0saqfELcsTE BPFDc8TlWDA0RxxTb5NT8JlJ4kNyxOs74gfnyAFviR+YI0+8KX5AjvzxhviA HHml5KPIGSM+MEfOeFv8oBz3SI5v5toeX23u37WwoYXr/nr+5iOuf03x7cd3 3wq3h5qqfI9/eR1rqAV+dJu1K722tJ8a4CevIS7WuU/7NN3V2Tni4FS1z3Se bWKbiCfwoF6u/tbFzkE+dwufHdk/W+cQ6x1q3cs93sK/6bGeHEBOIFd0lN53 c+StYeLbF/Edv6P4cPWXpahNqauos9po/PIc+RrZlbazdxH3zp13VfsUtVex R+2TctzXLmofn+P8r+MzReSCDcUrivitt6F4oyL8sol4xxx56SXeqog8xX00 tt5OGjsyR86oVLtxEb8Tl3Iie2t5/VW+v0rfId8g9XN8h1Db0K7leCOvkj/f cBtcIKdW1Mi3DSyf+Qqvx74GzrOlnEueHOM2uRf9TWw/b9LMPlnP43U91tR+ C+Gnv/h7sFGultfI8ls4Blm3ue5gU9G39jPeCV3jHQ/I20LrdrfNz4qPylFD tBb/KkeOWoa/5MhPe2OPZH5DzlD7yxz5bon4whx5rY344hy57hnxdjlyWCvx eTly4+b4XY5cytt29R0+In6WY6GT+B45MGIH8T39Ll+If5ojF08RPzwHVreS XZfmqC02E5+RI5/PFZ+VI7/j40fYz0do/U45sPdO8dG28ziN75IDe98X3ytH zdVWfGmO/Pyi+As5fOFYrd85B24PV3vHHNi+r3ivHLVSC433yVErHyP+ZA4s P0rjt+eoJ0aI76T+D2rfr/bIHN8EJ4vvVkROmcl958CzU7kfja9W+wS1OxcR //zW9YPfvKXG78uBfado/nTLxOfLfJ/4QrnveX2KeCVvEC/81gb+TvCa8ZYP BoO/k7xugPf95r1805Anj/SapbZnsfWhq7XsuSxH/bfIcyebL3Eb3+X7hzw/ 2XqRt8wyseFP92kfx1s5xonlwvcPzz5vfbeJd+50vW2mjmSM3w8mav6wHLXh ZPGhOerHqeKb5Ki/q3xezsi9gweDfffrfN7XbB+2kXtqOd6xgTeoZRmrLedU v02Fz7vWe0u5qbbX/u711I9/pKiDW+o+O+e4s3ZqX5mjbh5WRH4kN9YVL4r4 Xxn3dJPvqq3GrshRcx9cBGaD14cUcRfcwzXYXkRt/V2OOCfGHxZ/KEdd+4r4 yznqygdyxAzxsmmO/EJu6S5+bA4se1r8qRy17LXiA4uoxa9Te1ARtfuNxHgR 9fQ+RdQE1APgT68iMAg/6lmEL3GOfYs4C3mSXEVu3K+I+oPa4yrx/Yv4ZhhQ RN1DzTO4iFqEOuQG8SFFfAMcVoQf4APXix9axLfE1cRBEd8SzxOnOb7d+xRR x1DDkFMf9Nk/FP8oR022UrwqRz23IkcuJg/3yJF3yDlrxf/I8T/YMsmsVURt t05jf+Wo+chDvzgXLRf/MUe9+Lv4mhw14s/iP+X43+wq8d9y/I83SV4u4n/A dcRrF/E/WPJuT+eEv8XX5/ifLTm4t+OoQxFvw7tsU8Sb8V7bFXF33Fs38SOK yA/bFnF33Fv7It6bt966CN/Cr7ag7sjxjXeC2rvm+O7pkkMWcrppvHsRfr9V EW/A/W9ZxLvypuRysId8jrz+Rcg8sIhaljqW+OhbRIyAJ5/nwBTy9Dk5YrFv jtxNe3YOXAFT5ufAM7CMnPqB8yr406MIDPosB86BcWDjohz4SL6/N0fO36uI Wpb8BsZ+nwNnwdUFObC1Xw5cAVPA85bG9Nty4AdyvsmB2eB1vyLqYGpgYuvo IuJr7yJqaOrn5kXgK+97IrWZqA5xlaOmp54Hh6lNwWKwCPzgjDfneBvepX8O HAVDz89R91Pzg1HTc+DUGTnqWmpa9BydQ9e0HPgENu2fA3fB3KFF4DqYXl/t DYr4/Xq/HFgLzoLnn+TA9P8DD4U/qA== "]], Polygon[CompressedData[" 1:eJwtlnmwl1Mcxt9uv3OOfd+GsSRbi6Z9QwuVttttlUru7ea6LWgs7bJlMBRp 77ZbsqWUGsMwjFAXWW6olFDaKIqoKHyeee4fn3mf73vOe35n+X6f86tWPKz7 HXlZlpVBDmrELAspy74NWTYJLif+B75BPwldaSuAe9HPQELXpP1p9Caog14G bylmwCPov2Fg8BjXoRfAEvQ2eB49Bmail8MJjFeLeDL6O3gOPQpmoJfBs+gR MB39GhxE/wnF6K+gJ9/3gPv0LdyA7gX367fgRnRveAC9SGPw7VJ4M3jOl6H/ ih5rIryOXg5vo9+BK9AZ329APwXd0d1gnOYGE2gvIc7j+TDxKzwXw0p0IWxA b4Ry9Ifsz070LviceA3xfPSdMCV4jzajN0X3/YS4CmP/R3xL8Bzyks9MZ7VR e4beEt33I77Zjd4LXxIXwWf6LY2HXkX7DvR2WJ3zHD6OnrPmugquZvzyaH0w eK8Pw9fBe16hsaPHWk3cX2PD++gdwWf/L6wPzgHNvWryXLWGtcSfqn/Oc9qH PgDr0AOgC33zYSx6IeTQxyTnWgkciz4xOVduhVbolnAPugzW6Syj5/YBv7Fe uRytdQbX0rc1DEfPhum0dYDb0S/Dj+gfovdyLfFW9LZorT2bge4Iw3TWMBPd SWeIXgwr0SvgXfR7MAvdGe5Gvwp70JfChOAzaosezHwSzyrER6NzTrmmPTyJ ttPge3QpnK9apH0Wejv8EZ3Dyl3tYTva28JI9FwYTlsRccZzqNbP8yzirei9 rOdQdM2r1nXG7Wm7Hkah56nmabuG+BB6KXRGd4Ix6AWqN32f7A2qiR7ElxDP D+7TU+tN7qsz7aX5Jp+tPGWR1irPUO1Bb60/ubZU0/XRk+VJ6N2qP3T15LmN hmboofIE7YXqHV0j2QvkAX2JayXX/oMQk3NKuSTP64e+KTl384PPoh3fDAk+ kyZQyruqPF8MzvX+xIeDc74fcW3iF9APQR/imsneI8+RNzSOHlse0SDa4+Rt ypmraL9NHhS8hkbEU4iP6HyCvfY43m0O9lx5U2vlaLBHnZnswfJevdPZynPl tTrjRtE5o1z5CY5PriHVjsbsQvuFybWjmsgnviC5r2qqBfpcmBacA6ck56Ry cQsU0P+i5FoaAY3Rg3m3H/0b1CUujj67ncG5WLcy15WTDTSX6LX+Ak2JpxIf DR5Dd8PJyb+lO6IrcTXiOcE53o344uRcV852RHdIzg3lYMPoO0d3jWpQa2lf WQta00B5a6V3F8Cg6DVo7vs0p2hPlZd+EVy7+6EiuIZ/j/YweZfeDYhes9a6 S3sY7QnygqnQUt4Ej6JvDl5rc/ofCF5zoWqxMteUc0Oic1y5rT590X2Sc1k5 Vwd9ZXLujQ/OzYmV3ytHm6LPg8eD76R56LnRd4/elVSegfZ+D7RR/iSfpfa4 Ou0/R6/9CViDbhU998eCa7Nh8req0TLiFtF7+RLcFX2n6i7VHXcGfU+Hipzv YK21KLr2NefZ6DnRY+uOaINeGL13qsnm6CXwRvAY9aP/I+i/gTy5XrRnyavk 6YX81qTouaxQTqJ/hfKcxxgX7dHyZnmqaq9J8tmrBpsRT4teu745h7azk71T Hj86+k7QXaD/LCOj7xTdJfrPUqqziP7tR2Bs9J2hu0L/geR99ZJzRR54Kro2 7wYFe/7/2RtfIA== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{51, 1, 5, 9, 13, 17, 21, 25, 29, 33, 37, 41, 45, 55, 132, 232, 158, 180, 237, 238, 176, 233, 159, 181, 239, 240, 177, 234, 160, 182, 235, 236, 161, 162, 157, 179, 175, 231, 156, 229, 155, 230, 174, 228, 154, 226, 153, 227, 173, 225, 152, 223, 151, 224, 172, 222, 150, 220, 149, 221, 171, 219, 148, 217, 147, 218, 170, 216, 146, 214, 145, 215, 169, 213, 144, 211, 143, 212, 168, 210, 142, 208, 141, 209, 167, 207, 140, 205, 139, 206, 166, 204, 138, 202, 137, 203, 165, 201, 136, 199, 135, 200, 164, 178, 134, 163, 133, 242, 241, 131, 197, 198, 194, 196, 195, 130, 191, 192, 188, 190, 189, 129, 186, 187, 183, 185, 184, 193, 69, 51}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{244, 243, 247, 560, 551, 552, 550, 554, 553, 475, 556, 557, 555, 559, 558, 476, 562, 563, 561, 565, 564, 477, 531, 598, 507, 549, 479, 547, 478, 548, 474, 246, 245, 244}], Line[CompressedData[" 1:eJwl0tlOU1EAhtHTiqJVBA2K1gHqJQ+AKKDihFKstBRLi0Kpyqit4rv4bF46 gDihMqhAEFg7XKx8Z//JPulJmqrUctVYFEVveechwQr341F0j0v8du7TY8zz mhS/7Hf1KK+o0cZP+x1NUOUlrSzbb+sRXjDHRX7Yb+lhZpnhAt/tN7WeaaY4 zzd7rx5ikuec46v9hh7kGU9J8sV+XeuoMMFZluzX9ABlxjnDZ3uPxhnjCS0s 2rs1xmNGOc2CvUsjShQ5xSf7Vd3VES3QzHvnDt3Wk3qCHc9v9L926ge9rB/1 ijaQZtW5X9d0QI+TYd35gf7Rh9pIlr/Og/pPc9pEng3nId3UYd3SMunw3vAu MuFd4T7ZcD/cIR/u8IhC+DaKlMJvC99MO8nY/n9qD/SCPp8= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1Hl8z3UcwPHvZpVI63IUxVKpCOlWIp0qZNWIDnSXtlY5dmhssbONjQ7F 1mi1teVu65RrukUHKYoO0YHolPL8PPzx3OvzeX9/O76f3/e3hJEpickxURQl +ZLaJIoeiY2i8rgoOpGOtKQVZa6N4X/eZRc7Gc9Vrvfjcq7kCjLNL9XL6ENf LiHD/GLtzYX04iLSzS/QnpzL+ZxHmvnZeg5nchY9GGfeRc/gNDpzOmPNT9FO nMQM+5P1GT1V39Nu+qx21ZnaXT/Q0TornIGWh/vVDzVdKzRNn9MM/Ugf1dnh DHSOZukanajP6wSt0mxdq7larZO1RvP0My3QWs3XOi3UdVqiC7RYF+oUXa+l ukin6mIt0y91utbrNG3QJ3STPqWv6ZP6uj6tm/Vv3qSZffNwJuGcWGbWNHwP hxDHUrOD9XuN18Npwtv2B+l3WhXumw4ssZ+hU3SZZ6qRROt3ND6UffxLjddt 1Wr9UXeEv5FGVrGSH5jn+tRwP7xg/WJ4/1hhnxDeO+aHswrnRguOodT1vRxh fSSHcjRH8av5YbpcI40hln/sZ+sWrdRvdY7+om8x17pE/+JrXrX/Rn/mDV62 L9Y/+YoG+436U3gtdfaP6x98Qb39Bt3OK9TaF+nvVITnLrw+3J99kc7Tz3nJ ujC8t+F3ssh+bpizh0/CzzP7VNvrCUziMQrCMxLOkpxwnrqb31jNYrOP9Xht R6V1puZrWz2OY8NnMXzuyAvPIG2sW3MdA8kKzyTbeJ//wmeHa1y7lqsZQH8m mCfq9QziRm5govlgHUISQ7mJbPOb9RaGcRu3kmM+QkcynDu4Pdy3+V16N3dy L/eEMzG/X0dxH8k8wGTzBzWVFB7mIXLNJ3mWM8kgnTTGMZYxjI498D91PxL9 t4M= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1212, 1211, 1415, 1562, 1735, 1599, 1734, 1600, 1736, 1645, 1898, 1646, 1692, 1691, 1564, 1740, 1741, 1739, 1743, 1742, 1565, 1745, 1746, 1744, 1748, 1747, 1566, 1750, 1751, 1749, 1753, 1752, 1567, 1755, 1756, 1754, 1758, 1757, 1568, 1760, 1761, 1759, 1763, 1762, 1569, 1765, 1766, 1764, 1768, 1767, 1570, 1693, 1694, 1647, 1706, 1563, 1592, 1708, 1707, 1738, 1737, 1852, 1527, 1417, 1217, 1216, 1215, 1214, 1213, 1212}], Line[CompressedData[" 1:eJwl09dbT3EcwPETDWSP7FFWS5kXRoiKVFJJwgVxwYOy9852bV3ZFy7svec/ 4NatK2STPV7fx8XreX8+36dxfud3TnJNXXltTBRFn3geG0XPWBgXRZnxUdQu IYra05q2tCHDeUttRXMSaUG68wRtRizxxJHmvIk25a85RiNSzb/5ww9+8ZOB fOM7X/hKIwP4xGfe85EP9KeBN7zkNa/oy1mWcZCR9OMt7zjHeUYxiA6uqSMX zBe5RBadnOXqZa6wgsXOlusxjjORJGcTdDTZdLZ34ar5GqtYYl+pJ8ijgEXO 8nUMg5lrX62T6GqerN10LDmctA9hnrlQD7GWpfY1eoqh1Nin6GHWU2tfp6cZ xnx7kR5hI3X2DXqG4SywF+tRNof7aN+kPXWE9tDu9KLEfp1x5vFsMffWqXqD 3HBv2Gruo6V6M9w3cx7bzMk6TW+Rby5guzlFy/R2uCfhfrAjfL9arncoDJ+V +vAda4XepSh8BnaG50Sn6z1KwrWxKzxXWqn3KQ3XwO7wHOoMfUBZ+F/sMadq lT6kIvxN9prTdKY+ojL8LvvM6Vqtj6kKP8N+c4bO0idUh5kD5kydrU/Dc2nO Yo653jtZTA7ZpJBEIhGN3tsGXsT+f4//AUNea4M= "]], Line[{1414, 1362, 1366, 1370, 1371, 1372, 1373, 1526, 1644, 1851, 1643, 1849, 1642, 1850, 1684, 1848, 1641, 1846, 1640, 1847, 1683, 1845, 1638, 1843, 1637, 1844, 1682, 1842, 1634, 1840, 1633, 1841, 1679, 1702, 1632, 1678, 1631, 1896, 1895, 1591, 1894, 1677, 1885, 1733, 1629, 1839, 1884, 1883, 1597, 1590, 1893, 1676, 1630, 1636, 1635, 1598, 1690, 1681, 1886, 1680, 1887, 1703, 1704, 1639, 1414}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 1. + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(1. + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHl0TlfXwGOoqaaiWrMUMTSGBqFKrllFpEgTs6LmmoNUUXMUIQRBDEXM Yoh5CA9CREiQQWQg85w8mYMY8vnWen77rnV9Vt6+7fet9/3e/vWs39p333P2 c87Z+5x9973GY2cMGl/SyMhoYlkjo//+XbLgbav6KyN0Y7yX60Z2PqX0vDY9 5JRtkHCVkteeO1r5CA+p/0s1z/OHhNEf1udpxPVuN0UfRh9GH0a/9PEXoYPG 3xd9GH0YfRj9weUrTJndM0j0YfRh9GH0Tb0+m/SN3RPRh9GH0YfRLzGjyYTS k56KPow+jD6MftqGWqcTO8eIPow+jD6Mvu2Uhl/dux0n+jD6MPow+roeTU+d tE4UfRh9GH0Y/eb1WrXeHJos+jD6MPow+psK2p34eXSa6MPow+jD6L958E3L kSkZog+jD6MPx+40XzZxWqju2by9lVr/uE2x0vUfmLcgQJj7wwdWj+jctpOX MPqnO+umPmiZKfow+jD6MP2B6T/3p/8w18Ncjz7Xwwudpywa+sM63efG6cua 2x4UHuL4xsp1rV75ysntSff5YTrTE0dtTWfOVDYdD/zSaUyIcH5AhcUhfR8J n4heub/LOD9hWT8GntWowPJhu5vCk+7fj71d4aww9ldo/vuVzB8uiz0w/TOf t/GqifU54agIj0sXZ+lEv3VhathqmzuiD3P9rYbxww743RJ2C8oeMj3yruin ty6Vtu7KQ9GHuX66Y5FdB32A8L6dji2MjAJF/2Zs1RQ7/xDRh7m+4rx1R+J/ CxZ2+G5zs7ufhIq+65b6SQ2iwkUf5vqYZjsOHXcLE7Yquc/EpVGk6E/91jQh OStK9GGuPx9x+MA8j2fCG8IHuxx3ixb9PW92Zg9ZGiv6MNf37hPxqEFUjHDh mVGfuDSKU8cv1H1mlwoJ6vgZmOtPNYwdUHpSvPC4deM3zPNIEP05p45mGm9K En2Y62sXJj9IzkoUDpgwtcrw9snq+lvtOb1M3VR1PRiY61cEZVr7z08R7tjV fr1yLVX0v/3xYkbq/nTRh7le71Hg71lS5X21fqnUuE+GrJdKuUucyj3MlPUB M/9h5j/M/YifMPEQJr7BxCuY+AMTT2DiA4y/h/HfMP4Yxr/C+Ev8A/bgf2D8 A4w/0tqPP0DfZ5UufbFVggXXw4wPLPuV7kHzSxtlKSUnTVtyzydY5+S0zCOv KFNZY3ulv1eru8JfnO/Q3vt3T+GFNxy9f+4aalFlxZPT+ilrhMNt00bb++4V Do7YGLB08wXhrvM8Do/88qrwZptxcYEZt4X99sx62PWSr/DuSN2M0+UeCnda 3nvC5OmPhOc4+09bUDtEuKr59+PMljwW/rZ7xE89TcOF45PHjH21MUK4fn7y 5EoWUcJP/Tu0iR0YLfzS5lXbtKaxwn0OWZz0CVf5x5Ylzzw4FS/suaRXq2M/ Jgj7lylvdvbrJOE6w6yOO6er3CG6iue2mynCK9vamM6Zmyq891LNNov6pQtn Vhx2bMhblT/eVO/kmGC9up80jGe7zQtKz6+XcI34BRPv0Jf1Y2BZPwaW9WNg WT8GlvVjYFk/Bpb1Y2BZPwaW9WNgWT8GlvVjYNaP9Cc9fX9UzFFh9/lPU/26 62U/wf/BfgLGf8Fcz/qwruiVOjkuTNfmztpvdbZ7LGpUnO9Tp4rK81p61hr/ PFj4VMu8LmfuhQjTHver9p3pxtdnHon8iXXK1BNRD4VnR3dfkul8Vzg12td3 bcd7wqxXmP5zf49GX8+oX95b5OaNzpgsG31DWH+vt1vzsaeFY+8P+nLsmXPC zA/ZPxj+z21VN3rcK3tGHa89dgnlI6/LfJL9gkGen/FjoMMhb+HJZWbH7Cjy k+tlf2CQ/26zOKD8PX/hCud99K4bA+V62Q8Y5PtH9E/o/1ydf88mBaf/4B4q 10v8N8h/qTI8rmb5MOGzdWJTm52LlOsl3hvk1jcnxUTVfibcK8kh7+e4aLle 4rtBvrHTlRnfu6rz++T1X+1HTo2T6yWeG+Svqt/Ud2yg+otabitzuuUnyPUS vw3y8Rm+0+odVtfHcnunWSa/JqvrmXhtkD/weZBe4ivVn2RYbcqqUDZNrpf4 bJB/vefxT4mX1PU12MRtRqZzhnLzUdHyUjXCxd/v6d2+5bJnT4Qda8xs4Rr/ SHjc6gNBNU4+FN584vregVO8ha23fZlnXXRd+ETsmA2+c88LN87tEGr1OkSY eAYH/jTg1bXt94SJb9K/vv7R9QZtkfl8YW2nrx1qL3lv/fQKSmmTOvCijvvD 3A/Gn8Lo+za4H/v5lxtEH0YfRh/2SSjxdETsWeXs98aPG36dpYyYtse4/EM/ 4dTcH1JnbQ0RNvHM7BHl81T4qws6a5NXscIPtqx6FVktSXjanO8Ob2qRJvyx zWe2lt0zhUO2ZS4xOp4t3Pg3m9CIi7nC9g4XWl64lS98c0KdFS4Pnwt/Yrc4 fFrkS+HRveLa9E1+JXyyXZ9VjfPeCBc1Ova0qKhIGPsn39j/6aZF2WI/jP0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYX79VM9uPbuaI/TD2w9gP Yz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPY3+Q27HNDmXyxH4Y+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7H/t7Ktg1Ms88V+GPth7IexH8Z+ GPth7IexH8Z+GPth7IexH8Z+GPth7Iex32LO6eojnAvEfhj7YeyHsR/Gfhj7 YeyHsR/Gfhj7YeyHsR/Gfhj7YeyH2x1ffahcZRel8sdx+UMjsoRvOUxof79B jvDP8SlzLMblCrcaOO3sqcN5wnFXs3K/yMgX1t4ffwvjf2DWI8z8hBmvhqeq +u7Yc1P6C3N/q0+3dbmy+JHIYeS/BTbd2uxkmMhh5LF3hr+wzIwWOYx8ycFG B0qUTRA5jLz+yrSBF+uniBxG7vXjmbfTzTNEDiNvufdqSLVDWSKHkS/cYGyq P50jchj5/cUrl929lidyGHntGSlP9vsViBxGPmVU/9ZLHr8QOYz8Yn/PlcNj C0UOIy/X5dNIc/1rkcPIB5vON6tW+FbkMHLODx0idk4+NcJD9isw+YWZDSPN jLueEV4/d+m0+l/v03Fe4nqY/Q7nH+QwctqHuT+Mf6D/19Y/mTPooo8S07rk hC5r1P0S8h2lX29yXRskcvwH8tAbazNKXYkQOf4E+RrdOveO+TEix78gb7bb dkBmxUSR42+Q+yys9+ZA41SR43+QjxuecGREZ73I8UfIS+yyO1a+RbbI8U/I BzhdLpHQPlfk+CvkexbUH3K9W77I8V/I9VOWndjR/7nI8WfILYYllnYY+lLk +DfkTn0thw8a/0rk+DvkkR1PeLac9Ubk+D/kXzarVq78oiKRcx7R7sf/0fzV vkWVx8Z/c0Jh/x9by/1eUMYdYVPLMcpgk2DhSWWzt92yjRS2Gdv15bbuscLZ Xcsd/G5YorBzg4eDysxOFW75dmuR12q98AR968eXBmQLn3u6yXTLiFzhj/yf L5s5KV9tz2t4WL85z4Xdj+laN13yUm3frZFjSadXwt3WrIp8uvWN8Ib5aWaX 3IsUbf4t8HKEsc/LUzr4ftdlzsG3Dwp3Nq/2mfuJLLk+NupMcNVy6v6U/Afy rH1b7D7NzRZ2tepQY7lVjvDBKrVcV3XIFba6dNkmf4PKwxbuDHm5IE/YyMRi 08QQlaumNPh06vV84fMuNwLDahUIE89g/AHzRRvftP0n3kl+zxDvYOIdTLxb 0fjysTDn/cqHzpPEP8knGeIdTHyTfJIhnsHEL5h4BROfYOKR2GeIPzDxBia+ wMQTmPgBEy9g4oM2fyjxwPB/VXaM7LHQ8Zzw7u9LbH04ZIfuPz1/5uX0+rc7 By/L/LG8ZBJ/f6FOmP9T9hOG/8+xec7Z0PEqu6YHmUe+8yuPr+9ysDjtL/rr f9rusqfyQ+HDu0ZtcSoXKuzXrHl6JYsnwvHD9PqXHaKES9lH7rtqHi1cpaKy /8yZOOG9A/d/N8c6Xvh4apmBU+4lCSttpr5uMSFZuN/dgDcN49KEn1ZudyRm UbpwyiHXo6GFmcLXCt60uG+ZJdyjx8kv+5TPEa6UOGbpITuVN5lVX/bFp3nC I0Nuhy4bq3KMscOTNw0LhI/dat5q1HSVv/okolWY6QvhV2fWrfj6F5UXGykr z3YsFO7rnh1ew1HlB5n7Ipx7vhbe7mL7VdZGletHlTH7acBb4eSll1bd26Wy z+OOT4fYFb03/uz3xT+7zs3re1T1V1ZDB8+z3pIj13MeEP9c8mVbL72qb+QT fu56WK5cz3lB/PWMhfat2qp83mxUvln9fLme8wTyEZFFp/c4qDzl95h2B8YW yPMm5jvnOexzK1W5/qNlt4XZv8EVdK7JIVmBwuzf4N4LTbr3aBghzP4NvlE3 ov+TQzHq+Br2b/APr/YVrtclqONn2L/Bb8KmHOoVmiLM/g3ecdHs+9f6DGH2 b/DOfouWDC2lxnv2b3Bap5jH7aqo8Z/9G/xNi14tq9ZR9wPs3+DVtY4sTzNR 9wfs3+CwcpXCfczU/QL7N7jpi5lt9lmo+wf2b7BDUrDjIkt1P8H+TbufiF48 4Pnkiur+lP0Z9sD0H6a/MP2D6Q9M+zD7EZj2if+0D9M+TPsw7cO0D9M+TPva fC3Px5jPMPMXZr7CzE+Y+Qgz/2DmG0z7PI+jfZj2YdqHaR+mfZj2YdqHaZ/n f7QP0z5M+zDtw7QP0z5MezxfpD2Y9mDag2kPpj2Y9mDa4/kl7cG0B9MeTHsw 7cG0B9Mez0dpD6Y9mPZg2oNpD+b+PG/l/jD3h7k/zP1h7sfzWu4Hcz+Y+8Hc D+Z+PO/lfjD3g7kfjD7Ph9GH0Ye5nufHXA8j53ky+0POF5xHYc6jMOdRyVcZ 9Dl/oA8j5zzC/p79NecZns9z3oCR83yW8wdyzh9ST2c4f0j9neH8AXP+gDl/ wPgDbfs874V5nos+chg51/M8F+Z5LczzWPqnlfP8FXu4nvUAI+d6+f8Mz2Nh nrfyf2nlPF/l/+V65DxPlfEwXI+c+gvGU643nG84D3AekXyo4TzFfpH5BDN/ iJewNn5px08bz5CzfmDWH8x6hvm/Yfydtj3iCYy/Z37AyPHPMP4Txt8xP2Dk Us9rGH8YOf4Ixr/A+A8YfwFr62El/20YT9Y7+T7qJckfUj9IfVfnRO+V80yz pR4se1Cf28kzc5R56y4d9Ps8WaH+kPo4150rD5wMUP1Jv/LlE4yr5yrVB8aX iRp/RKEelfGH6Z82/wujz3yl3o58HfNROz/R53p46IHGRnUbZynkj2Hyx7RH /Vop943mfp9cFSbfCxf2mxSgSwoQJt8Lfx3n3bW/e6gw+V547h4bt8uBUcLk e+EnJ7JfVi8RL8x4wYwHTL4XrjF1qc3SNunCjD9M/kbyKQZmvbIe8O/4X5h8 D/ow+uR/kMPIyQchh5GTH0IOIydfhBxGTv4IOYyc9Yr/x1/A/H/U+zJftP4M /8l8oZ4UZn3ib5GzXllvrB/8KfWorD+YeM18R8544d8Yb+qlsVf2fzwfMNQj E2+ITzD+iflJ/S/xh/gE47+Y79T7Eo+IVzD+jfVDfa/sNwzxC8b/sR6p56U+ F/+AP4HLHNvsvPCLi7qfd+Ucv3c6S/wdcv4f9gfMB5j5QL048Yf/i/VKPTXx iv+H9U69NPGN/wN/QT20xEOD/fgb6p2Jv/g//DX2YB/+L7xl9UvNz2dKfGb+ km+kPZj+wdgDYz9M/IX5/2D8B8x5GuY8DXOehjlPw5ynYc7TMOdpmPO0tj+O Nh89a/aLtzLs+2t3zk7Vv3cejKtsf2Fq1BPFbdQnWzwt1Pje+dHN5HIXEt87 r5w6E9au4eR4Gf8BSY0OWk1IkvH+1Tlq0uCKqTK+JtY2NQ7apyva+uexAbOH ZuT5SvyW90l67BrhPTJLaT4welT4dr0yJ8E3qcItP8XmwLk6CyMSlS5e3Ue5 1Y75w/XTD0ODjm6dfkd3efR3/etPzFYsDx+xm/FNiC6usjL/wTw1v/fP1lcn dJ26d9grdf/+Z+utW6SYbm6VpZf9fURmmc8a1NQr00w+PpNr9aDYemybO16/ eK9PV9bsPdz74JvgP12f7djpgfv+4alyPoizvWM2dVayMvrshACltnr9h+q3 WT+7L+T4OSdGKz32Vd3pWDZZzg9Xr1abcCEnQWn68ZG7IzLV+s5/tt7b7vS1 8SdaxCraetAP1X/b1V3qML7HU0VbD/qhenBHv9tz748LUbT1oNSHw0MTR7fo surd/Pylq+dns+5KPD3785LpL/Xq/u/wrKbPdv7spXOt5zHj1tN3592glQ08 Zz3UlfEeW7lplnq+LTUivzCzW47SrMTLDc0bBEo8ZX2F92q+vvEXuXJeIX/8 Z+vPmzV0XrGqVoacF4jH5o1/H/sgLrDY+nTij1+5OjtvexRfr97YRDfdyTdO 4jPni5JV1s+vdlWdX8Rju5Flmna2j5b4THwvc+PR+sg8dfyJx24ZbRq1mR4m 8Zn43qldQI9lN9+vh6+ZkDqia7NHEp+J74dvFJg97/1+vXynCMuM4ObX39sf 3Rh7fd2qzRlyPvAvcbrcYf9speTGLuO9C0Lf2/9MCdzqa3MmR2lf1qi6Rahe 8TOx7ew1wlfxzl7rXF6foix75R6cHhWhlB+dnWU0KUU537dhZpdKT5XfW3y6 03ZnjOJ+6tq0yXMTlPDCkVc910a8u8/0g2dMkpXPRy61cJ8apAzUz9YfOZuq JJo7m14Nva0ct79XeVTjDKXd1Iu9Bh/fo6w2Nh+1a36m0vnZ44NNOz7WeW24 OKSRS45S7s2zGZt6Zsv8KuwckLi4iso/GV/yeZX6bl6PuRtWLfuIUmfhps/P 5mUqAfEpNV1quSvHpi89H2GbqQw+Gp7RafZNZdXJqfHLrdOUefsrb9Ete6Io L2bONJkRpzgEb+jiXileqdp3THqvWVGK04bRmZcDExWn9nudHVaHKokJ17r4 z0pRAiK/77hqRoCyNzB7cY0sdTx4P+G814Reec0vK1f3hfYyGqRXKluVrKfb 7K4r93PuMbf+WYpPxxbrllQP13m3M63b9VWOsj7v7injgnA5743+6PitAxbq eurV+URkm3dx5Xn8ovk3HJcrNac96rzW0lPpvXn69u2J6nlwrkv75ReO6hWn itZTW14//9758EPvR/zV9d7he8rPvTB823vvE+F/OB86bJh/roVZpmKR5GK5 OP+0LrqqU6WXm7OKrQePrDtw4re3d+q09QKLJgU0mHAhU3EtDG8/c6On7N/s HKZ5NX+o5qsefOzcPP1IhrKw+y2/HZaPFL8GZv1srNR80vO5Q6r3a52gVJwc 9YuVW+x775uwf5D6E8P5GOb/XRf8LCnpv/MHuXaDvBMz5fzk/l2TebtuZSpT bi590Ob+Od3kib1HjYnIVLq27mf9tLGn7mWPrg/uvchUzvaPcmlhtVt3oVbT 4NHZmUpshef2R7YckHwi+y/t+z8fDcra+tkFD5k/xgOezD1Y4+B7/pn3a/AX 3G/Nvo/1LSdfUa93/2zxhMvX1PW3vs72PU53hJet3zKgdPxt5Z993wT/RvvX +jU5Oqt6gNzP3OpYTiWvB8IXV9Q7eDU/SPjXFeFLZxirjH/lfnV/3NfK5OtQ kdv9mDBoTqUnwnndjhe1aBIpfLnblIjIARHC+HepV2po9tumSVEi77uh0+OZ 9aOFty/ebWr1bj8ALyhaWLvJ9Rhh4gv3u6uPnml0P07kSdNLLm9qHi/cYdSE sJLdE4VrPet5JyI0QZh4x/0m+h+udyEuSeQr+/u1ftY/WTikcyvHS0NThS94 VZzjkpkiTLzlfh95zPSb9ipN5I1MXSI3j08Xtq9TYDZzll7Ydkdww75lVSYf wv32tDNymfZpjshP5VWts9RS5SHp3X2mD8gV/tbUrMvwOir33j/mUORhNX/i afFZ4YnATIX5VcXHftyAd36gp18953p1LypJfr1+txr1zi+l3Zk68vUNZeLi BV7Pd2Yq1Q65ZHUw9pL8C/3LajQu+VvjPGnPKH7OrBF2Kh+OOFjXckS+8LY6 rpvMm6pMfob7WVT3tWjcskDk1kFP7nQYq3KBXwX7JpOeCydWKEz5pK3K5HO4 3/qSpluKOr4Q+e6bnetXn65y78vT7xrNeamun8KRXTMsVCb/w/0is53TwnsW ijzdc88c/XyVNx8JbBC5+JXwipQbrr6WKpMv4n6mMbndzg94LfLOe0vfu7tS 5fht5vMurH0jHPykSYa7ncrkl7jfwoeDt20c8VbkazZMMj6wUWWz39zuu2wt Em7su7rH4rEq/2+/z3a/0sNht5vqla11l49udyXgD7/f5pf0oubAvumSL8tv lzi/R7kMJbr6wkrui4KUUm8cXniuS1MmRVt7zIkIVe5+5xHzOidN2bBxctCW 24//5d6P63F8jdn4I0lKoyEFjidtoyW/6uG2t2WHgCilSmi9hLblEpVhEw+v /ioy5v/9+3Rlalbfaq+7qev8Uadnl42zlaw7g2PetPHSlU4ubX7u3f7gUZdt 9ilvMiUfSn6U+dvftV79gmdq/YDzriHzZg5Vn+e/mZh/bvwP6vPoeT1f9pu/ 4IYyuMul7JdX1PxpuV8vF8Y11CuvA87r34bdkvxpce/nyftv3v7ZC+yylWYd Z5/Z7eAt+VY3p001px4I1Z1Y1itpyCU1vxozc1TjUmk5yuzQI/fj3r5rt+aV Shs8fJSyVhb5dfelKsEL+8TUNA9XOpZxbVK5bYpSzTvoVrulT5VdEda/p656 Fz8tPq4SdTNeefLw/Oaqy54q0c+etQpalKR0jKrWpsGvIcoJJ9+0VjVSlVOl /B7rmvkp/Wx9Kpdem66Me97dIqHxfZ1XziS/3GPvzrPBh7bdNFGfv7FfGxZl 9Y3lrixln9Mcz3MbL+h2z2s0eMLFLKX5It+L3xtnKGereZyzbhGkrEo68Lnj wHhlp4sucpztu/md4D1hoke04v/lsaHdmyQqtVstnXFwXZjSsJbPnbb+yUqz k+mXS9k+UkIqXOtlYZMm+UOpHzPs18kfkr+CyW/B5L9g8mMw+Q6YfBtMfk6b r9TW48O0D9M+TPsw7cO0D9M+TL6S+Uy+EiZfCZOvhMlXwuQrYfKVsNRDG5j2 WT+0D9M+TPsw7cO0D9M+TPvaehzyH/QHpj8w/YHpD0x/YPoD0x+Y/sD0h3wL /YHpD0x/YPoD0x+Y/sD0B6Y/MP3Bn9EfmP7A9AemPzD9gekPTH9g+qOt9yG/ RP9g+gfTP5j+wfQPpn8w/YPpH0z/tPVC5LfoL0x/YfoL01+Y/sL0F6a/MP2F 6S9Mf2H6S76N/sL0F6a/kq8z9BemvzD9hekvTH9h+gvTX229E/k++g/Tf5j+ w/Qfpv8w/YfpP0z/YfoP03+Y/mvrrcg/Yg+MPTD2wNgDYw+MPTD2wNgDYw+M PTD2wNijrQcjP4p9MPbB2AdjH4x9MPbB2AdjH4x9MPbB2AdjH4x92no28rnY C2MvjL0w9sLYC2MvjL0w9sLYC2MvjL0w9sLYC2Ovtt5G+3xOW29HvprrYa6H eT7B+0Dow+jD6MPo8/4Q+jD6MPow+rzvhD6MPoy+9n1f8oU8X5HnfYZ8Coxc W0+CnHwETD4BJh8Ac56HOY/DjJ+2fc7XzC9tvSDnW5jzKvMTJp+lrffjfMh8 h8nPcR5kfcBSP2k4/0k9nIHJP3LeY/3B5Efl+4WG62HuD9Mf+b6hof8w9sH8 HzD/p3yf0DDeMOMLM74w4wszvjDjCzO+MOOr/V4jz//Ih/P+CvNd+3475w1Y u//Xzh/teQA5/gfG/8D4Hxj/A+N/tO2xH+f/1z5vlO+XGsaP/QDjS3xl/IlP zA/8OfMHf8f84v9lPsLMX5j5DuPfYdYPzPqD+b9h/l+Y/xfm/4X5f2H+X5j/ V/u9Tm09oXwvxFAvxfcaqYeinod6J+p3qGeiXod6JfIXvF9NPR75E77nCVO/ Rf0R9VrUG1GPRX0R9VbUE1FPRf2Q9vuH5EPIf/A8j/a1/dPOR+Qw+UfGE6Ye jfop/An5OeYHTL2j9vuUrGeYeMv8J/7QPsx81rJ8H8Aw/+X7AAZGznpBDiNn fcn3BwyMnPWIHNbWIyKHtfWY8OHNv9k9b50j/z/v42vHi++twnxv9cXydI/A b/Lket7Xh3vbDyh1ok+BMO/rw65jzw5dbfNCmPf14fiBn58a90OhMO/rw+26 LSzT9afXwryvDy9vEz2ijsNbYd7X19az8j1X1gffY+X/4/xGPpd6Z5h4zXzj +6jkm/AP5CN5Pg3z/UvWF8z6g1mfMOsXpj8w9sCMH8z4w4wnzPjBjBfM+MCM B8z/D/P/a7+Hiv/Af8r7pAb/Qn04TL0q65f4i768X2q4Hn8EH9T5lR5+Llf0 eb8UfXnf1HC90TynxpsHqzzc1Lqn/8s80ed9U/Tl/VO+txtbZVyZnSpX3f5o uWKhvn/K/pfxYT8AE6+lHtsQn4kH/J/EV5j4ARNvYeINTPyFiU8w8RhmvsP4 X5h4BxOvYdYfjL+FiW8w8RzGX8HEdxh/BBPvYfwRTPyH8Ucw+wEYfwSzP4Dx RzD7Be33f5n/zAf53oOB5XsPBpbvPRiY8xf+HX/E/w0zHrx/wXmM9Ua+Xrve qCfBv+Df6D/Xs19m/cHa98PIvzK/8b/0D/+K/9W+X6KtVycfyPrQ2kd/0Mcf aL/X8nd98792fTPj4bFmqN+9o/oP1jf7K62X+P8D9c3/ad/X+Ufrsz/0/R1t /XVx9dPa+uji6pv/aP2ytv5YW1+srR/W1gdrvxdUXH1wcd8fKu57Q8XVFxf3 PSJt/fFf/X0i/KF8n0hTb6etdy6uXllbj1xcvXFx9cXF1RMXVz9s0X1uwcD/ oV74xbD44B3/Q73wN2VsHH2bqs/PP/S9G/xPcfXFf/T7Tf/X9cja+uPi6in/ XeqT+f7Qn60//rP1tP9p39vS1gP/0e9v/dX1w391ve/f9bt/1+/+Xb/7d/3u /1b9rra+9s/Wy/7R+lT5XpTBn9+q0WJTRrr6Pp32fZ/ivhf49/f//n99/09b 3/vv/j3Av7oe+e/vB/57fz+wuPpvbT37v3o9uPZ9Q+37mR/6fqvvseGXV+Tb 6/7q+nBtvf5/AU0buIM= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwBqAJX/SFib1JiAgAAAN0AAAADAAAAQjoxJGgjRDsyRzw0BgECBwIDSUgE CgUGCwYHTUwIDgkKDwoLUVAMEg0OEw4PVVQQFhESFxITWVgUGxYXcXAsHhka YWAcIh0eGhUWIx4fZWQgJiEiaWgkKiUmLyorKyYnLikqJyIjbWwoHxobPTUu XBsXOTgwMzEBOjICOzQDAQYFAgcGSAcDBQoJBgsKTAsHCQ4NCg8OUA8LDRIR DhMSVBMPERYVEhcWFRoZPjYvFhsaGR4dGh8eWBcTYB8bHSIhHiMiISYlIicm bCsnaCcjJisqZCMfJSopZWckKS4tcC8rRUEzdT02dDc1hYQ9eU4IAzQEATEC LzYuNDwETk0IMDgvQDkwMToCMjsDNTctAjIDdj44Nj0ueEoEg0AwBEgDM0Ex PD8EB0gIh4Y+C0wMTE0MLjUtOD4vXV8cSkkESEkICEwHSUsIXVwYTU8MYGEg D1AQUFEQfFoUUlEMUVMQE1QUEFQPVFUUe1YQVVcUFFgTF1gYWFkYWlkUVlUQ elIMDFALWVsYXF0cXl0YGFwXfV4YH2AgYmEcfmIcYWMgIGQfG1wcI2QkHGAb ZGUkKi8uf2YgZmUgO0Y0OkMyaGkognIsbW8scXMw8/J2gW4ocnEsJ2gobG0s 8fB1cHEw7+50k89Ll9VT+fqIW30Y6aRu5qJqLHAr7KZyL3AwgGokY38gV3wU S3kIP3gEOXc4bm0oK2wsPYQ1aWsoKGwndYU9PoY2doc+T3oMU3sQldJPX34c Z4Akb4Isa4Eokbg/c4MwmdhX+pCIo+drpepvm9tbnd5fn+FjoeRnw8RDwcBC uahAjfWE15hW3ZxezpJKzMtH4J5iycpGxsVE2ppa1JZS0ZROp+1zamkkvr9B qqk546BmjveGj/R3uIO/nA== "]], Polygon[{{162, 229, 105, 106}, {194, 198, 68, 50}, {160, 226, 101, 102}, {164, 232, 109, 110}, {189, 193, 66, 49}, {158, 223, 97, 98}, {238, 140, 55, 116}, {156, 220, 93, 94}, {168, 170, 57, 64}, {188, 243, 118, 56}, {174, 212, 82, 122}, {150, 211, 81, 82}, {200, 204, 71, 52}, {144, 171, 60, 136}, {192, 137, 58, 66}, {152, 214, 85, 86}, {166, 235, 113, 114}, {197, 138, 59, 68}, {148, 208, 77, 78}, {203, 139, 60, 71}, {186, 239, 116, 53}, {187, 241, 117, 54}, {146, 205, 73, 74}, {173, 209, 78, 121}, {172, 206, 74, 120}, {154, 217, 89, 90}, {138, 201, 70, 59}, {177, 221, 94, 125}, {199, 190, 65, 69}, {183, 185, 64, 131}, {178, 224, 98, 126}, {179, 227, 102, 127}, { 191, 189, 49, 65}, {223, 159, 99, 97}, {220, 157, 95, 93}, { 231, 181, 129, 107}, {176, 218, 90, 124}, {237, 183, 131, 115}, {180, 230, 106, 128}, {182, 236, 114, 130}, {208, 149, 79, 77}, {205, 147, 75, 73}, {202, 200, 52, 70}, {181, 233, 110, 129}, {214, 153, 87, 85}, {137, 195, 67, 58}, {211, 151, 83, 81}, {171, 145, 63, 60}, {196, 194, 50, 67}, {175, 215, 86, 123}, {234, 182, 130, 111}, {225, 179, 127, 99}, {226, 161, 103, 101}, {229, 163, 107, 105}, {232, 165, 111, 109}, { 235, 167, 115, 113}, {210, 174, 122, 79}, {184, 172, 120, 63}, {207, 173, 121, 75}, {169, 143, 119, 57}, {244, 188, 56, 119}, {228, 180, 128, 103}, {213, 175, 123, 83}, {219, 177, 125, 91}, {245, 186, 53, 132}, {246, 141, 132, 133}, {222, 178, 126, 95}, {216, 176, 124, 87}, {240, 246, 133, 117}, { 139, 249, 136, 60}, {248, 142, 134, 135}, {247, 187, 54, 134}, {242, 248, 135, 118}, {217, 155, 91, 89}}]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHWU10UUxXdGEVwQUWpFUlJAJJaVWkJyRVAxMVCwpQxYQbElXLCVsEEB EQP02N3d3d167Ma497zP7/z8455535n5vXl138xum0nTx03LJSUlZ6aSko00 bqaPjyUfL5wtLBL+0fw5fFs+T+MGjSUarxZWCCcIB1uH0FBYJiwVjhYuFS4R jhUuFy4TZghXClcI1cIFwt9WqXG5cJUwS1gpXCPMEToKTYSmwk3CjcI8YY1w rXCqsFa4TjhdWC2sEk4WlgiLhWnCemGdsEDoIDRG7y3CzUKN0A4/GgntGb3v EObbClsJnYVthU7YVcac15oJXRi3FroyNhe6CS2ElsL2jK2ECs6zXTsw2u+e QhthG+FQzu8llCPb3t6M/n139LUWbhCuT5HjPuizvYOww+f3ww/b3p/Rtg9g tO2VjNuxtww/+6LPc4PR5/OHMPYQdmS0H4dh+1BhIPq6sd4aP4f9z78R+ObY HCiMFXYRRmO37R1FvOzfzswNYG8l5+yGfbZrDOuV6BpIPHZl9L4q9Nm/nRh9 3jh02KfD8WN3YTx2+Hd7CcOxfW/GkcK+rFvfQZztM/djzj4dgA+2cQ/0Ox57 Mlrv/uz1vgnsta8T0WdfJzHaXnNlAfE1B1zD5qq5/K9491dJcNCcNrfNOfPG 9eoeYF6an+aQOW0+mKMnUAPmuvltjpjf5rT5YH6bx64V9wDzvgk+lJNX9w/z uxkxqiCX5mgN9WBOu37NE9eyee/6Nu/NdXPJXHcPaI5/5kJbzi5wtMDndthh LnTA1k58N2bO+/bBplGpyOfOnOG67ZqKHC5wuhtrU1PU+lBs7c4+2+I66ks+ erDWHt97pyL/K/DBseqFfX1YK3C1H9+jsLXAtyGpyNsB2DSQb9s4iG/bNJjv Qh8pT0X+9+fsYfhSTv6GsXcE3xWcPyIV+T+Y/PXELtteha2diEGfVOTeLvxm N75d3+bD/tjq9bGc49wUuOVxL84cx++HM7cndptLu+PTGHRXos/fU1L0Vvs6 OUWvd+yPSnG3uabMUXPVPB6NXfuRg9GsV7E+PhV7RxVnTMAf+2H+H0gsxuNP gbcFHk9k31j2TiCPrr8WwPXfkrlTmXNfmorfh+BDQ/ybnIr3l/nrup6eoi+4 Jyzhe2PhmBR8t9wI2fxYxlqtFDU+hbgdl6IP1GKfZfPsUtY24dt9wJzze2Cm UDvFm6MauSlyGXZP4/wr2VdHOBH7N0XHDPT7N7Pwz2+J2eyZzbx/ezW/LxVO StF/SomFZfe9lazVFU5J0Q/rsnYy8V7NWj1y4B5lrvvOnStsnuJ9cpqwmXAG +bK8lu/67D0T+TTyaJ1HkEvX7fwUfc86zSn3Rr8HbmKtgXBWij5vuTWy965n bYsUtXwkuW6FTu/1+2ehsGWKd577vnt+4e3ifnBRivnM3hp0eu5s5p3zpdSA 585l3uPFyM7n4lSsKcuuMd9BF6a4h64g33XIueVqYuO+X6j9a4mnc3sVeV+E rYn8rCZnF3JG4T6z7PvO9i7DZt9frkvX4UzkGdjpfa5r82PJ//xYgv3np7hT bf92eku/k4KH57Hmu3YWvtXB9jXYvwo761EDa/DVdvs+rsu4Etn16zo2B+aw 5lytYN71fIfQPUeu/a7vmyOWhfeEe2IfzdXL4e8cfl/KubapOWd4vhmy42xO uX7XkgfXr+/mVsi+s+szrkWuxvcyfuO1lvi5Ct+te3kqcnY5uT0J3+dwjjlm Ltwr9MsRz2ryZ1/83nDfcU8wD/yeMBf8FjJnzJH5yOZAlo73yW0N+13b5s16 dPjvA/PEHFmI7L1PCt+nqPGtpeerFJxex2+tZ4zm30jBvdqSP0jRQxtL/jxF ndaV/FGKuttK8pfEeAF22+YtNP8p+d9U8ocpeuvmkj8hZg0lf0bMmkr+IkVN 1eCD+0YLzX9NDLaV/GKKXt5G8rf494vwQ4raLdH8hhS8ul34NwWX55IL53wG 8W9KTK8nR/bT/DKHjiU3hXvgEnL0p/BrCo621VnPpri7NpL8VIq+1UHy8ynu sduEP1Jw+TVh+xz95Vbh5xQc7Kq5l1P00OOoB5/fTvNvprgXO0p+K8W92Ery N+R8Y8mvk695xN99srPm305x5zlXO+TI13vExTG5TxiQo4Yd+6E54j9KY/Mc MXlYGJGDFx6bIT/CPu9x/ofnqIGHhGE5eoXrZUiOmnkFP+3jg8KOOXj0qLBT jprxXBPmXZsjc+TNfrfP4bt1l6H/O+GJFH/3P0c+nIsXyIHj7xrZJkedPE2e nCPXyD/UyUvUluvqceGZFNwxD94ltuZuffj7N3l1Tn8jl87jj8JfKfqna+R3 6sT9tUuOHus6/SlFrW7g/xT+u8Y5NPd81t1CRY56e1XoluOOHahxyxx9z/0y 0TPvFHrm6O3mWe8cdXRPir7pPmPO9c/BO+suRb85WpmDp66FBtTD/ZxXiu5N 0O93tt+kfkcO1lyjHH3etdYpR7095j05+on5PSgHx53nluTadV0rR22b31U5 OO7e1iNHf3uAM6zf9T46R827J/XKwddy5yTHnXgX37U4vzU2/AcTqrM3 "]], Polygon[CompressedData[" 1:eJwtkmkrRVEUhs+57sV1Tdc8TxEREpIkSZJ88xPM802SJEnSTULCP/HBPM8y yzd+AjJkKMOzOuvD037fs/deZ+/9rtQGT32PzTCMIrBDHCYexk3DCIYEdCJ4 0SGQhE6GCXQoXEAmvpOxGc4gHd/B2AQx6FgYQwdBCjoVJtFuiEJHwyg6EMLQ 4TCMDpAzoENgEO0va9BBMID2k29oJ/ShHXImtBuG0E74hR8wYV5qMueCfrQv RKAjYQTtghOw49sZG2Uf2gYetA/8gWGzatmkBtoPemUf3EAuvpuxFe5hSfdK zTLmNvRscqd8/IPWWoAv+IY5PfMRPMIUTMMnfMgZdM0z3OneGXiDd5jVNXXU P9C3lsyuIJtvXYwtUIve1yy9+q9jrSX/fIUXubdh1Uxj/aHkZFoZVuN3tVck 4zz8rd69DYrxq/rWklE5flOzlYxK8euarWRahd/RXpGeqMBvaTbSE5X4be0V yWwRnvRtfjljDfN72qvSwwX4Zc1GMszBX+vdJaMS/Jr2kvSEA3+q2UsPZ+Ev Tau35c0y8Oem1dvS84X4Fe096YF/2sZTyA== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm811Mavr7vMZGSJWSJdi1aSXs0M8yMpeVWSqv2unJL3ZRbXdq0CY2S rhaFEklZRhOaJWWZVrJOEhqhYRAGjeV55nl+n/rj/bzv73zP95zze9/ned7z +1XtPyK/MMvLyzt8TF5ewHdIeXn3IXgTgy/ALkG8BP5BWHvYNbDAWAf4brAy iDvCd4cdj7gT/LWwExDnw/eAlUfcGb4nbCWsD2wwrALGu8D3gn0NewX2EKwY Ngo2GvYDbDtsFexkzO8K3xv2P9gO2CM8PMZ3wa+GZYjXwD8G+wm2E/Yo7FvY VtgK2BCfoS/sJhgTMAJWAOsH6w+73n4AbLj9QNivsP6xsEGIH/f3yL0/2GuP tB9q4z7XwYbZ9/N3K/A+RfbcZ63XGwO70e/zvbHeg2uPs+fzm+1H2YZ53e9g 22APw6rgvOu8flPEF4X2LPH359q32HPtW+259iR71qQi3jsVNh7xU7AJsCmw qY4nwu6EzYTNgk3zGPeZ7j249pP+fnxntt/n3Ns8l/NuP2rsz7D1sBmwZ7z+ HbA5fs617/KeXG+uPdd4EbYFthw2z+/xjC3wPc4PzX3W43fDWmGsLmw+4ns9 Ns/fY4zz9ZzHF2Sad6f3b4b3aoTOtdHPS2GXhnj0H8QXwu/LxC3yiHwir9og rh/ak5wit8gx8oh8Iq/OQPxXr0mukXPk3tOuA/NCrpFz+T7XfJ+f3CL2ifut xkVfY4TcIi7JM/KJ+CS3yBtygBwit8gB8ozcIheITWKPWCTuRvlzDutDvVaB P+d4VeBzkCPkDPk03GvyM3FemB3h0gifdajHcpzMrTXae+fwSowR70WeV+i6 jfFaY/05x6Wx2REujfNaxf5MrhR7D2KTeJuWHeHtaK9VYozkuFSSHeESP18c 4t4TmTg0yXuQA1Ndv4lee6rPOtHP+f507831ZvjznxxP8nvE+2yvNct4yPHh Lq87289meYwYIbfmHLXHHK8108/JjRrmCsdbh3jyFz8jvsgH6jO1nJrePMSH DZl4Nt/7cR4xTm7UNd75fssQJ5/PxINSz2kb4sbfEFcKcWBTJj6RQ+R1ZcTn hHj+FeylTP3qZXty7B+Zeksf2wpj6tVMPYm4Iz+XwRb7GTmS02vygvglRon/ Qf5MjgywrT7q+RrP4furvAb7HXsge+HrmbSedX4tUy8pdF1ymvoBbHcmLM9w 7VnrtzNxnvWpFsIBx9mzn/L7H8LeyY7o5nrXdz/s/Uy5+2cmPWUNG2OdRrB/ Iz4upEHdvcYGY2JvJl1jbWq7/qzrR5k0mvu8l0mjFsEOeh/eH/Zk0lnWv57r ydrz7G/5XdZyi2vwuGvDupyO+Ydcz5WuZR/XlrVu7xxvd55Zt23OPfWxjO8r rPlW13adc1tkXLziNVnnHa7tWteGdXnSNWO9DmTqK8td/52u/9OuwRRjYZfx wJq8kYnL72bqH8R2TeN9ruvwtmv6ifPIHJ4dqtk+j38G+3umWnFsKexL2OeZ asez/+hzveBa85xNQjX+3LX60JjY6DMt8NwDnt8u1KsO+rx7XLtPfY5FrvNe 44Fn2e89mZt/uZYp1Ody/Ywx6/VFJr4tdl0PuZ6s2/euJ/sm5y1xfb5xDYkj Ype4bWA9KHVt/+v6L/P6y50b5uh+Y+Sw68yzJPdgcpV9aKA973k3OEfkAPFf xXc/jlOjGlinWP+fj6r5MSENIO6O83fn3IY+a0O/ex/isqFezh5PX9a8Y/8+ wffpcqG4h8fKeT51pLzv2SeGYurLaaG72ng/P9HvnhTSIGp0rRD+/oj4lJB2 815N7a7g+zrHTvH8ar77Tc7kKzoe78/FxgP1mdjY5LjU71a3TlHDz/Qcaja1 +wHEZ4WebTJ2zrOe8/m5nkMOkYcT/Lyy52zxWsu8ZyWvz1pV8d2CZ6zmvlvd 8WTXlb2Nfa2q57O+zE0N54f5OMm55XPOW+f3arovEmvsScRbV+eui9epZZ6z D9Z2L6zj+J5Mvs5Resq+yJ5InWS80GP13C8vcLzQvCNPl3r+BdZW4qu+MTbX e7P/UiMaef69xvECr8PxzeZLY/cC+iYeb2QNYXzQ+5Lv1FDek0Z7vTbel3cd 3nmKnKtmzifnNjU+ea4WzgOfN/cc5uR8j2/wszle72K/W+y1GDO/LVwL5rGV 80zf2rliXto4h5zb0uvv9ll5zk7mYUfnvJXf5Xtt/b2ozdRA6vAejL0Zytlp +O18RpKmfA0bGupXL8MXhO4EB+EHh3rOWMxdFOp/VyIuCv+uQvxYSI9/i/jG EO5bI26exMlL4W8I9ah34feGvsM5GD8rSb/aw98U6kvXIZ4e4uht3Md4ew9+ XyjH3TDnlpC+NkN8YRLue8BPCvWBLognhHpIJ8TFod41jpwwx2dyT+MwnzlM 0pY5iN8I9bAp/E7mRW88nxrqRW0QXx/q/7vh3wnpNrnFfsBe0AX+N0l1K3Qu mIeRoVwwD8NDa3GdMaH8MrejQjllPn8Hf0WSlt0DuySp34917pi3AvjnrQm/ Rzw6pK9/4DmTNKQJfIMknR0fygtzMhh+v/lSEso183xrKNfM82Tnl7m9GXHX pPtUN8TXJPWeiaG8M+fTQvlirobCD0m6H82HfRu6M80jHkP3pBmh2rPuw+DP Tup1szH+egjD5HE7a8KZSTgmhjtQT5J6x1zqR6i3P8z3zIX25GlSP7oacbWk /nUV4kpJve9K4iXUZ68I8YFc+CZ0Vp7zRfIe9jFxRY4n9Z1NiB8JcY579vS+ HeEbJ2lyT/hloTvKZYgXhO5qVyEuDfWNfohXhu4rfRA/GLr3dEe8JHSfyEe8 OHQPW06uWB+WkishXWqblGvmuV0SboiZh4h3a8UT/K7mNc/y66TzbEbcx3je yu8duk/dTt6Eel8v+AFJ96JneC7X6FX47SFN3gm/LaTBxNcdxthAvPd+6M60 Af7u0N3qUeI3qe9Whz8v6V5SH75O0n2iNnyNpPsHv0cPf5dnQ7ghZjYSnyHM U8+ecx0HwH/g78UzvuZzMn/XOofMX3fnkLx/wNxfC9839FuHmrEqpBvkXGfz jlq1IqRXg+DXh+4Ia+CLku4HvUO6Sc1k3skh/qagNpck6TP1rKk17QvYl6E7 5SH4r0L/EQ4JaTT1uW4Svontw/A/hP5XuygJf8Ted/Dfh+6d1OCFIf1pmMQf coc1GZFUl36IRybpWIskrBPnrElV14Va0sh6UiWJS+QRtb+l9b8QfnXo3sT1 doTWzBBH0h03D/7n0H+o1NHNrlF/Ytx8J47eMpY+hv8kdBcndl4yfojB2cbh AfiPQr+zWfPdXpM95P6QvnHtXV7/R/ifQnf6z4iL0H+9NZP0glrBfvipc048 1jMmicdaxiS1apbPcCz1Kek/4FHsj0m/k4aF+i57bkWMnZr0f/DEJC0mR8j1 zkl8Pz1Jm6hLrA37y///A2DNk/SkAuuQ9B9zWfjjk/5XPpl1SLrrs9+e655L 3rOvE4OVk/oHMcz/1K9O+n1IHeqbpEXUoV5JWlSG9U/6/VYOvnzS7wrqX/8k DaSeXZ6kadSqjkl6xV600dz8BTHPDFg= "]], Polygon[CompressedData[" 1:eJwtlnuQ11MYxn+dc5AkSWhFWY1ImWWHJDtrKpKGYSK1bRdtTBm1K4q0dBUy 5PKH0bjUSCm6KJcQci9CKnLLNbpJuuh+83nmOX88+z7POd/L+3vP877fLa6q 6VYdCoXCJJBAU/6cCo6MhcLNbNxDvBGshb8FmrF3GhgSfM1Z8LNBPXgFa3V1 L3gZfhDMZ30B+B7+BmjN3jnJ19Zn/SbQB/yO/hPUsNcf/Rx8K3hMeYC/4EtA Z3jgmv3wr8BG7YEX4DvAyeydBG6AJ9b/BTvALvQMsBu+H+yBzwRDk3PQu5sS +4HrwTfoP8Ba+AAwFb4NNOH6ouRn99BvIlajTyF+pBoR3wafBefwFLwL+ycS a9HPEO8G64JrUsze6cnPqptr3QP8GFzzRuw1BHPgdVQL+O3Juf7G2kN6L/gV /iFow965ybXthV5H7AiWwreDT+FLwAb4NPAo/PHo2q4HF3LvBaAS3pD1o+Fd iF+jD6mm6CvQy+EHQAP0legVMhFxH7gcfBlc4/PZLwUNop+5nXgZ+CL4TOZE 56B3ywMfaw9sUq2C312f+w8H53AGvEVyrXqqhsQJ6A7Ev9HLlWvm8tAK+Eqw GT4FtOTaM5PvlWf1W45K9qp+0zL052BjcA6roj2gs9czzuPakuTa6jctBYPk uXzmm4md9Az4f+BY9o4Bs4N/w+FoD8u7+4Jrd3zy2aqGm4j/RN87HXRkrxr9 CvxbMA9+h3qQ2BzcB/qif2bvPTBadUH/BF8EBqsXWSsCTcADoD9rv7D3PpiU PSUvfQIGqB+Se+9ZMCzZM/JKs1ybR5RjcI2Uy9zoPeVUo1yje2e+eoD9UeqJ YE+3RV+U7K3e6Pbwi5N5I9ZOgHclzkUH4jtgUZ5FWnszugbN80y4jjice4qj Z9KQZA/JO0V5NqyP9r5mhK5VjspN94xFTyE+gW5HHJPcs+rVtsRh4CrWVqNf A3eir0F/B39dGj4iera1II5Ajye+K68RR6InEj9Qb6r30fcTF6NbEbuqf8A4 dGP0UPVP8lm/Ckaiu6F/gC8E4+DPs/akaqfzR88kPo0uJ45G35t8lqWqCeiA XhXsoVvR5eiV8hIYD5/O2mR4We6lquheUU9dgi5LPps+rA0i7gTL4C/q/NVD yblrxm2LnrmatTvBpewNjn6Xcpica6zaLkDXwh+Onp0lxF3gluhnK8ct8IHR vaB3dtb8i66NzmQgekP07FcPzso1Kc81r4I/GO11zcjZ0T2hXtDM7gvWgC3B M74Oe0ckz7aXgnv3uOTZph5eTVwYPWvVA6OSa16an3E1fHi0V+QRze7GyV7W DNe3sV7yLNU38lr4XdFe0hn3Q0+I7mX16IzoMyrLntHs3AN2B8/QmJyzctU3 cW/0N07fNl3TK3uwTT7jntmjLbPnu0d7WN6VBzW7tkafnWZYRfZsq+y5A9H/ KGh2zdL98lv0/wb6pmn2HwR7g78BveVt9XHwjJoW7eH2uUcq4GOiZ9Ua9TO6 NtrrmmFTc4+2yzPkUHQOerfe0Ym927KX9M2ujPZUSe6JscTK5Gcrh/8BC/g1 cg== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmXf812MXxn/yve9Pu7RlJD1GsvfeRUbISMqmZBTP43msZ9gzZW/ZNNCU aFCSSikpWlYlI0IaqHiut3N9X9/+uH7n/tzjnPO5P+c+17l/35bn9erYs1pV VdU0/dlYcmKqqvq70EHYXri1VFXVR7hP7dsk+woPqX2H5L3CpbmqqltRVXWB +p4XOgs7Cg8It2v8HuFptU8XdhDuFe4R7lb/dZKnCa2Fx4S71He/8Ijad2JT eELt3pIPCC+qfYawk/Ccnh8THhfeFd4URgsva+xMYVehjfCQ+voJA9XuKuwi 9Be6CDsLT5VizsPCM9gWHhWet+4nhBcsnxSe9Ti2n/Y61rwqXbsLuwl7pLD5 kjCgFDaY+7LX4/srlti5PcXcIcIg+8G8gV7H86ueiy8jrQsdIzyPda9ZMjZM 6G/7Q+1Lf6OffXrdOtC9t3wYJTnB+zjUOsZYDhfG2d5r3u8hnveGMNjPYz2X eXul6EfvO5bMnWiJjrf9PvjylnXzPFNYKCwQJtknfJlsG/gy1WvQ8YdsrRf2 FT7we2Bziucyb46fWbcuxZzpwmzrZWyW7b0nfGQ52f7gN7E2w7p5/tB9rLlL OqdJfiLsp/bHkousY4z9nl8K/2b4/WZaxzz7wtjcUujh+VOP49fn9gl/F5dC P7aWWLLuC4/zrp95HWu+8jh2llriy9eW7PO39gmb31miY5kl9r+3xM4Bescv JZcLP5aizfv+ZImPP1vi4wpLfPnFEl9WWuLLN/YFP1Zt0LfG/uHXb/YJXw6S Dz9IrhXWb+DLr57LvHWlmMPYHx7Hx9XWjd6qFL7iI/HLueFcbZSiD3//9Drm VUvRt9L+zvC33DhFH76nFDbw/RC1f5esIVnTbXyuncI/fC9S+M37Xa72sUID oVaKuczjGdvYqZ/Cb3zcxJKxuineE3/rpNDNc70UfaxpaB0l4VLhKK/rJhwm VBe6C4en8LmHcKR9aSLkFP42TvGePF8kHOH3a2TdjF0mHJ3Cfk+hvX2/RGiX wseLhbYp9qOr8zf5t5fkMX6/Ls7f5N4TJU+wL1XioD8lTxI6CpsKWwj/SMFj +AinHW+/Ntb8yZJ9hG2ErYSWwtZet6UwU5ghtOBMC+8Lm7FHWltHKAlX6Pk4 7+W2G+iA6+BAuAGuhAPhQngNzoQ74TW4Ds6DK+FV+BWehW/hXTgRDoQLZ6v9 kdAqBcfCgfAOfAiPwUlwKRwLn8GxcCbcCR/CS3AYY+R+OIB8RG4jP7EezoFr 2He45jn3wSfwyiMef7pU4TDGHnYfest8+bz7Bvos7ZmCF1+0jkEee2wDO095 bn+vf9U24BW4As6Ax4a6b4DPapnrhnmMWFzjHDDY6+CeO1Jw7eBShS9HeM1o 28AeXFTm2JGeN9Bzh3vv+tuXMkeO9thYP++TglPHlyr8N8E24IuJ1g13lXkP Oa5U4UjWwGlw1TSPTfE3Y+5UP4/xNyzz5CTbwB58Mt36yE8z/Ez+n1uq8Nws 64I3Zvtdx/l9Jnm8zHUfWtdkz2V97xT897FtzrcNcgC5cLVtL/DYO35m7jT7 Aoc9meJsPGA7cNBC24B34KH9U/ArfIM9+GWRdcApS+zXF15T5q1lpQpfLi5V uO0724AHvilV+O/bUoUjy5y51DYWeC5jB6bgwh+8jrgj/t5wDiUnlrnwp1KF /1aUKnxZ5k/k8lKFF3+xHfZvlf39zTYOTsF/v9vXNZ73teeuLFV4F9v4B4es tR04Yb3H4Q54AXtwyEb+biXzBOsZL3Pgn16PDcZZg95azv+HpuC86vavpnkE H3OqcGMyTyy3L+sMeKCWeaWJc3iVeaNeqnBefftHDm5g/xgvc2Bd80s1j7MG O3XMNa8Lr6XgvFEp+O9w+9c4VXiskW3MctwQI2+m4Dx4cUwKDoPPxqXgVDjv rRT8B+eNT8Fn8PrYFPwH78In8Au883YKjoTz4Bj4CD6D3+Cr5sLJKXhuc+Gd FDwEt01IUTfASe+m4L8TPA9ugufOSnEvIoeNTsHrbT0GF/4tBc/AZ3DZDEt8 28JtdJ2a4n4IV8Ep8A48AOA+uALAU3DLM5KdbBvJnY91jMFf8ACA3+EfQA0A n8Bd3K24f/3H7wCX5BySPHxOivsGufa/KZ7Jv7VySHLhv1LkZXJyDfVXF4bq +X/CuamSU5Ccy6tS5Br6yn7gw/WS56U481enOP+cLeKc88g5uCbF+aSPM8BZ IP5vEM5PMe/GFPdmxq5NcWaqWxe6ORM1HI/0c+apuTgTnKcjrHOkcGGKGK7l eGS8tr8tfcR7O/fVLcddivNArHGOOB/Huq+RY6qhx4jfet4j9oq829Cx1sCx cEqKuuVmyX+mSox2dOw0cTw2NjrYTk19h5SjfiMuTnNs7OFv3c8x1TlVYuoM xxXx0tUxQwye7jgsx9lDjq8ujrG5kv/2GPFydop6YL7kEMfNPOFZ2yYGz3Qc 7u3xUf4+5zk2Vkj+nOIcHuJvync/zN+Fb7dQWJAq+aWb+z8TPk0Vnujub/qF 8Hmq5JeL/E0XYTNVzm0Pf98lwuIUOYjYOt9x1M59tf3NL/F3Jzdd6lj4Tvg2 RZ76XliWIgd9I3ztee09Xs/x0tNxsVT4ynqJnV6On+O9H8TIT8KPKXLTcvzy vOPcR/y0dKwQJyuFX1LU7P1S1LIPwm+SVwrNvPdXef8505x5vg/xRd4jvji7 nG1idrWwymPszdXen06Oh9b+btf421GvkmuIQeKXeCYP35bi/1bM59yTC4iF O1PUl8QS5/hGxwK5+mbrwPeb7H89f4O6XkNdOsScfoO/IX7daltFDv3Uz7TJ fay5xT619txb3CbuyCnE2Nn2DzvVnPOo1TjHd6c4y31T8EtT4b0Uz7SZT233 finm9vb85p7Pnej+FPcW7jB8q3v9vcr3GXLC3R7jPsL9q6/34T6vh0ceTHEX 4r7EvYj7D3efh1Pco7g78cw9ijsUfvAe1HQ8M4d7FjoeTJX/VT5snY+mWMud 6vEU+rmDdXCsNXLf455T1nWbbT5qH3gHalR87Kl36V7EftP3pHV+mOIOyf1x G42fonlTUtzf4NetPQa/wq3wI7mJeNxe80/X/Olqt1G7Sw59rdQ+Mcf3mWH9 6ONu+LGwnXXPdntnzT9T8+d4/BP3/55CX4tU4Xj0bOv1zFmbYh39nC3yI7mP XEKeIfdQt3M34T4Bl653X03fx4kR+vjfHJxb23PKbbiZ9bNsr5Xjbo1jg7xD /iFvtbR/1CjUWkvsCzUMObGHQW4kX37g9+QdOXO/WudU4TfH7RzvVSvv5Sy3 iVPyDneQrtrD1jnO9Dr8z8ET9dRftwhfNpGsX0RNV0eydhF+HaG5pxWRS9qp 3amIXNVFcvscZ/1Yyc5F5Kr27JswHN8l2+bgqJck6+Xg1z6SpxbmWLWvz5Gb 0N0qh37uHfAKXFJL/TWLqFUbSjYooj5tLNmoiPoUH1vm8LMTPGwuri85MMfZ raY5O+SolVuqvVURNeb5kt1z5JKNipjHHMbIueTbc9V3To6asVA7F1FrN5Vs UkTNu6lksyJq5CRZKqI2byG5ZRG/S2wm2byIOreGZPUi3nULyc2LqIWxR57n TLMGLuFswzfwDtw12XFADFB3T3OcbOnnFhuMEcPUisNS/G+ZOJriWJpiXbT7 uM065g73fGICjoQfz+N3khz5mLw11OeF/aKGo14gv45IkW9ZA7fC4fy/a1IK fhvmtcyhJnohRU1EvULd0sYxPt3+TPN5aOG+ae6npqDGoO7ge1CjdDMW2B9i iPqEmoW4oSbgXFJzDUpRH/3Feym4Cc6cZ1+o455KUZdRQ72SooamRnsuRU1H TuE8EefUaANS1HTUdy+lqN2O056dUQTfwnlwHzU/dgvzIPtPzmlqyf8Em3qf 4DD2inxD3hlfqtwNaBNP1CjUItQs1HLUJsTTCvcxRg1DjUPtQ41ETcT5oX6i NqKGJfc19zM1FRxPTFP3EIPEIrUN9RFx/7314XNNn7t19o07C/mytvMkuRHu LMca7Wa2y12x/H9P2sQya8nLxGH5vsQ3qut6u7n7CvefZF2bet9YO825vYb1 lPz/T/T39t7e5XV17Qfnpo71E6s1XHPU8Rz6O+TIreTVK8ltReSxi9S+oIj6 jt8VL8tRlw2W3CRHnQDf9srBucMkX81RQ5C3LvceHsW4fR5O3spREyyRXJzj t8SFkp/miMXXc8xjzpeSi3KcqxvJbc5dSyW/zhGXfXPkYvJwM8kZOWqemyVv ylEjXid5bY575zU5+IAcexj2c9yZDpLcuoizfYDaxxcRH+TL/rZ7Mjk4B491 y5FzybeHwC/+Xl0ldyyCw85Se5ciOH9ntY92/J8quW0Rue+v/TZ3dJZsXUSO GKD2KzlquM8lP8vxu+4yye9znM93JBvnqJFmEiM5+HKC5MQc9dP7ku/lqIfe kGyYowabJflRjrwwKcca5o+XHJujxpos2SRHHYWOKdZzoXy8JEf9js0PbHc6 Zz0HX4+QbJCj9jtGsqqIfDpK7Tdz1IK3SN6ao77+VvKbHL8J800O9Xf5RXJF jt+TV0muzpG/jpT8LUe++0ny5xx5cFCOvWPflkv+kOM353GSjXLUjbzfW37H OZKzc/w2Pk9yfo7cPVfykxz14JgcfuMzMT7EcX4wMV5EfoPXuSuSy6kjts1R S2BztO2yN1O9P+TR7XLk0o5F1JTUk3zPt/1Nz4avhY2ITWGnHPnhCsmzirjH 7CZ5T477Bufyhhxnk/Edc8zhHPfIcZa3yRGLxOFavmEOHiQuRjo2+Obv+rvz DYf6O74suWsR5wu/OubwrU2OvWAf9uZ8FZFz91T7kCK48/gc9Ra11m5q71cE 5/2q9pocv9vjC9yMP7uqvU8RnLeL2nsVwYW7q31AEfXlfmq3L4IP9lD7oCJq YvIEtQ5ndn+1jy2CSw5U+4Qi6pJ91T6qiFrk4hwxTTzvpfZhRdS7+6jdtgiO +T8cQ4h8 "]], Polygon[CompressedData[" 1:eJwtlnfcj1UYh3/qPee0d5EklC0rsvfeIiLkk2hHQ6IpM0URkkShIiOSkchI w4iWLbOyI1FEqevb1x/X573u5zzv8zvPee5z3ydvp24tup6VyWQWQRYcjpnM UZgWMpmSsAP/Gd7Db4QX8XuhE94bBuMPQme8DwzC74Y78edgPb4RxuNF4SX8 frgLfx6+w9fB23gRqIkPg/74ABiJj4DB+BDohPeDp/CB8CReF8rhPaA+fhpm 4at4obNTJtOVuAvxXHgabwQV8Sc0R7wpVNez4Bh+Aj7AS8EzeGOojPeEX/B9 MBkvDvvxQzAFLwHP4k2gKt4LxuKXM4dFmhs8RpyfeAV+AiYT14BCeCsYj1/D +Gd4Y3iLODvxErwh/EScC24P/iaj8MT4x1o7+J34OugQ/A2P43mgdPA7/Yrn hvbBc26Ovwuv4F/BXvxaaBf8jts0H2iLvyPwvPzeF3gzmKjfI/4cbwoT9P/E y/Am8Dbx1cRL8UawljgntAn+5i3wR6E7no2/t8IN3L88eI3aEBck/hpfDe2I ixB/q9yBDsQ3Eq/F10EXPZv4NF4eHtZaEGf4ewtxa/7edsavhpaMPXLm94/D G/iFXFuA14G+mj+0Ds651/DA+Dy8BrxOfC7xfLwW3KDcjM7FpeTfOPxKxhcT N4A3iS8l/hSvB2OILyZeiNeF0cTnE3+C14bhxK/CIO095SxeNPndTypn8O5c exzvpz2K94Iyyg9+/77onFeua8/2xIsnr9Up7UHiPtG59zL3PxCd88p17dGH onNauaw9Xpr/7a9n4hvhduVO9G+3hELRe1x7W3sgLz5QzwyeU+HomqFaoT2n vZ4DRmZ5zysXWkLf4G/SLXqPam9qDw+IrhGqDZrD0OiaoFqg/8/J/BrCb8F7 qEFyDir3DgePVYh23ZODuD4cCs7RKsk5oG//E/TQ3kzOvb8Ecb7otZ1BfE90 jVJtUs3rHP3N9K06wnR82pn3G6Z3xicpz4P3/BR8avTYEO6Zic+I/hbDuXY9 /oK+QXCNa8xcKhIf0V6HgtE1WbVYNUq5Ujt6bsqZT/D5MJTnjSL+Av8Sxii3 uDYXn6f5Bd/zOb5MOZflexbgC6P/dxjXFuOLon00136IruGq3W/BN/i3MC74 nVfiq2As8Ygs76Xvo+/VnpqDz1YOZXkOa/DV0ffqGSvw5dFz1TOW4Eujf1tz PBLds9SrpgbXrgPwfnAN2xNds1WrJwXXnh9hYnAN2hXd49Tb3oUP8VnRa685 qfbtjB5TDbyJ9d9EPAHfBFvxLVAs+Jmbo3ueep3uORjdI9QbNCfV3t+i56oa rFr9B0wPrtl/Rvcg9R5dU63fHT131fwC0T1WvVU9rDdeLbqWqQY0Su4h6h3K kabElYiP4scgX3INV+3+EprhVaK9OZzDeHnYFlzTyibXPNW6LRCJb4Yfg3tO ueQepN6zFbKIs8Gc4BpZJLoHq/fq2j/EJ6EsPhMyjOWP7tWzievgp6L3ju5R 728YPaYzgHp7A/gouMdX5P9LEW/HdwTvlTJc2xy8Zyok12jVZt1TUvcn1wrl 54bomqZapjNKCbwj1zbg64PXomT0u2lN1GvuiB5Tz1Evaq+cDu5J6lVtidcE 9yz1slbEK4N7WqXkGq/avlN7lrh0tO+C85LfSe+iHqC1LhG99lpz1dL/czCc qan439FrqXfOlVwjVBvUg/9lrF50L9SaVWXspuja9jNUS+5B6j2/wCXE1WF3 cI+Sl4ke07XLiGvC3uAzjbws43uCr9VJ7nnqdQegRnLPU6/TPaq15Yl/Da65 zYkraw8o9+Eq4rpwMPjMkzs5h5W7OmPUSz4T6SykZzRJPnPorKEcr638JN6H 7w9+VrnoueiZVyTfozH15MLJPVW9VN9sSPQZTWcz9aBiyT1TvVLf+KLkNdTa qWfrrKGer16vM0eB5J6hXqFvrrOVzhg6W+iMpbNIUa5lDz6T1Eo+I+psqDk3 Sz5T6SylNcmTvEZaG525bsFbJJ/V9Ixi2ivJZyf1ywuSc0q5pDOMatP26LOb atR/ULCZvA== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{51, 1, 5, 9, 13, 17, 21, 25, 29, 33, 37, 41, 45, 55, 140, 238, 239, 186, 245, 141, 246, 240, 241, 187, 247, 142, 248, 242, 243, 188, 244, 143, 169, 170, 168, 185, 183, 237, 167, 235, 166, 236, 182, 234, 165, 232, 164, 233, 181, 231, 163, 229, 162, 230, 180, 228, 161, 226, 160, 227, 179, 225, 159, 223, 158, 224, 178, 222, 157, 220, 156, 221, 177, 219, 155, 217, 154, 218, 176, 216, 153, 214, 152, 215, 175, 213, 151, 211, 150, 212, 174, 210, 149, 208, 148, 209, 173, 207, 147, 205, 146, 206, 172, 184, 145, 171, 144, 250, 249, 139, 203, 204, 200, 202, 201, 138, 197, 198, 194, 196, 195, 137, 192, 193, 189, 191, 190, 199, 69, 51}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{252, 251, 255, 507, 498, 499, 497, 501, 500, 437, 503, 504, 502, 506, 505, 438, 509, 510, 508, 512, 511, 439, 478, 559, 470, 496, 457, 494, 456, 495, 436, 254, 253, 252}], Line[CompressedData[" 1:eJwl0lkz1QEcx+H/sZQkytqCnBJChpO0R6doUTf2yHauuuLdeCGuUCktzFgq 20TLkBYh78FjuvjM8/ve/8KxwaaBUBAEQxp2pGtWUzoTFwS7DLNAjzRpN/If TzNfD/XefsAd5jFX9/XOvsdtnuJJNeitXc8tnuBx3dUb+w7/MofZimrCvs1N ZjFTdXpt1/IPM5iuW3pl3+RvHuNR3dC4fZ2/mMZUXdNL+yp/8ghTdEUv7Mvc 4GEmq0bP7Uv8wUNMUrXG7Itc50EeUESjdhXXGMeQKjVif9eKHtufmcBpxnOG iVxlIed4lh94jl9YzI8s4ieW8CtLOc/zXGAZv/ECF1nOJVZwmc/UrBa1qk3t 6tATdapLT9WtHvWqT/2KqUlRRfb/J/T/p/YAssFASA== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{591, 590, 712, 834, 998, 999, 997, 1001, 1000, 1127, 1128, 968, 915, 954, 953, 843, 1046, 1047, 1045, 1049, 1048, 844, 1056, 1057, 1055, 1059, 1058, 845, 1061, 1062, 1060, 1064, 1063, 846, 1066, 1067, 1065, 1069, 1068, 847, 1071, 1072, 1070, 1074, 1073, 848, 1076, 1077, 1075, 1079, 1078, 849, 1081, 1082, 1080, 1084, 1083, 850, 605, 597, 596, 595, 594, 593, 592, 591}], Line[{860, 669, 673, 796, 675, 744, 914, 967, 966, 1140, 942, 1139, 943, 952, 869, 912, 913, 911, 941, 1148, 861, 868, 1137, 1138, 1125, 910, 996, 1126, 1149, 1151, 1150, 983, 988, 862, 965, 986, 980, 994, 867, 995, 979, 974, 978, 977, 985, 866, 1157, 984, 973, 976, 975, 1136, 865, 1135, 993, 1124, 1123, 860}], Line[CompressedData[" 1:eJwl08VTVWEYwOGDFwXF1pU14x9iKyI2HSYLFYGLQQgYgNi6swUFuxa2CxN1 Y2x1oYO6tsDueL5x8czve98bc86dc0cWlWfEE6IoesriWBS9YyefWcInivnC LkYnRlGJjtJSHaO7dZyW6ViN63jdo5N0uU7UFZqq+3WaVuhUrdTpekBnapXO 0GqdpS2aobU6W+s0Uw9qnq7TXK3XfG3TQm3QAm3UOXpU52mTztUNOl9P6ELd pAt0sxbpab3LVh6zjWdc5Qk7eMBDHnGPMp87o6V6VuN6RbdT51yodzhJk/mU XmYLteYCbecY683H9RIbqTHn620O02g+ohfDe1llztNbHKLB3KovecFacuxy w32ymizzGs3WGm2m2jlHL3A+fC9Vdtl6kxLnKaQzmZV2abpX63WfPqeDZUyw ywq/Necop9IuU2+w1Hk4IxjCMIZSzDWvXw/v4T7pDLIfTH8GMiBcj31f7UcK fehNmn1P7UUPkkkK122fqN1JIEY3Uu3/Ejn/0j/8Ds8xP/jJV77zLTzXfOAj nbynK9wzb3jLKxbxOvb/P/YP81pvOQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FdwFWUYgOENJAQRSUJ6T+wyo5LeNTEaJAUdxkEULzQxARWSawsyiqY7 o2IDDaCAXayIKGrsGjsQLCDECmoAFSzB+ux48Zx3v3/3zOyZf/fkNnfMbo8I gqDMR1dkEHRyXlQQxEwIggeo5n5qeJCLuSQavZ7riONxnmA9T/EkU3mGDTzN Rp4lnk08z3Ns5gUSeImXeZFXGCSR13idV3mTN0jibd7hLd5liGTe5wPe4yM+ JIVbOINObiTfb/lEP2U7n/MZBda7NJc5jmv1Sk7maMY4k1tZxqU0u65F/+Qs DvM3f1HoXLcew/mO6/QqruZY5lpr1Rn8y0z+4WxO4TgC19TrbdzOfFqstWkP x3OBuUGv4bLwvswLtJcTuNDcqIu5glbz5drHicwzN+m1LKLNvFD7OYmLzLN0 CR3hPZjbdbxO03EaQSRR3GGtSE/VYp1ANHeaS3S6lupEjuAuc5nmablO4kiW mys0Xyt1MkexwlylBXqaTiGGu82na6FWayxx3GOu0aLwOdCpxDNgrtXicF81 gURWhnupJVqnSSSzKtwrLQ33SFNIZXW4d1qm9ZpGOveaG7RcGzWDTO4zN2mF ztIsslljPkcr9VzNIZe14fOnVeH58Jx3NYloxry7o4wwzBCDbGQ96xgg37U5 vvs7f3CI3/iVbH7hIAf4mZ/IYh/7+YFRfiSTvXzPt+zhOzL4mm8Y4Su+JJ1d 7GYHX7CTNLYxzMdsZQupLOWG8P3iZvLC54ZHHT/GQzzCw8Ryk9/YTx+99NAd +f//23+hGpii "]], Line[{1363, 1308, 1312, 1316, 1317, 1318, 1319, 1495, 1631, 1839, 1630, 1837, 1629, 1838, 1656, 1836, 1628, 1834, 1627, 1835, 1655, 1833, 1625, 1831, 1624, 1832, 1654, 1830, 1621, 1828, 1620, 1829, 1651, 1677, 1619, 1650, 1618, 1888, 1887, 1580, 1886, 1649, 1875, 1701, 1616, 1827, 1874, 1873, 1598, 1579, 1885, 1648, 1617, 1623, 1622, 1599, 1664, 1653, 1876, 1652, 1877, 1678, 1679, 1626, 1363}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 1.025 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(1.025 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHl0TlfXwGMoojTG1hhVMzEFQZBrCErRSCrmUmOosQmq1BTz0JrnkoqE EiRijPCYh5Agg4xkHmWeVBBfv7Xub9+1rvWufN6371rfu15/Peu39tnnnH2f faZ997kNJ8y2nVzayMjIqryR0f/+LltU3MZ0VaThuxvOhrHdPRXrK7NCPIcF CZuUvvJi9aDbwiNMf6rmde6IMPqj+j+NvNrruujD6MPow+iXPfFnqO3kB6IP ow+jD6M/3Lji9B+sg0QfRh9GH0bfzPczh272YaIPow+jD6NfanaTKWUdnoo+ jD6MPoz+8821Tyd1jxV9GH0YfRj9YdM/b3//Vrzow+jD6MPoG/o08zw1JEn0 YfRh9GH0W9Rv03Z7aIrow+jD6MPobyvsePLH8c9FH0YfRh9G/83Dbq3HpmaI Pow+jD6M/plvGj75vGu26MPow+jDcfstVkydGWp4Nv/3ym0n7lYGGQYPzV8U IEz9sNu6Md07WPoK0x5MezDtwYt/nf7zyHGbDLUapq9oMcxdab9xb1jvheEG s5PHhpnNmaNsOxHYauN3IcIFARWXhgx4LHwyZtXhHpP8hMX/VZ7bqHDgo47X hR0ePIi7VfGMMP2v2OLgpaxxPtI/mP5ZzN9yuemQs8LRkR4XL8w1iH7borTw dXZ3RB+m/M3PE0a5+d0U3huUM2JW1D3RT29b5vmmS49EH6b8rNVv7TtnBggf 2r+6pZFRoOhfj6uSau8fIvow5SvN3/RHwtpg4QVfb29+r2qo6O/cYZrcIDpC 9GHKxzbfd+TE3nDhQaUPNd3aKEr0Z3xplpiSHS36MOXPRR51m+/xTHhzxPCt J/bGiL7Lm/05I5bHiT5M+X79Ix83iI4VLvL+turWRvHa/xfqOqdHxUTt/1OZ 8p6fx9mUdUgQnrRp8ub5Homi7+R5LKvhtmTRhylfpyjlYUp2knDAlBkmozul aP6/zmtWuXppmn+rTPmVQVlD/BemCnfp6fiLciVN9L+ceCEj7XC66MOUz/Qo 9PcqrfGh2j9Vbtw/Q/RPdzfMeNg6S/Rhyo9Y/WbQzg2ZwpXzlm2s8ChLxjvl YeYDxj9yGDntw9TPegqzPsKsdzDrF8x6BLO+wKwXMPM/zHwOMz/DzLcw86e0 r84PzGe31xjSlw5KtGI+g3nesKx3haOdR0/R5luY8gEenfd7jfnreV1bfePH nqFWJivDTmdOXy8cMez5eMe7vwsHR24JWL79vHDP+R5Hx7a6LLzdblJ8YMYt YT+XuY96XrwrfCDKMPt0hUfCls79pkyb9VjY6Vf/mYvqhAhXsfhmkvmyJ8Jf 9o783tosQjgh5bsJr7ZECpsWpEyrbBUt/NS/c7u4oTHCL+1edXjeLE64/xGr U7cjNJ7YurT3Q88EYa9lfdscn5go7F/O2PxM12ThuqMGnfg1XePOMSZeu6+n Cq/qYGfmNC9N+PeLn7b7+at04axKo46PKNb44231T30XnCk8Mml8yx5rspSO 2xeVXVg/8YqsV6pc/Ftl8W+Vxb9VFv9WWfxbZfFvlcW/VRb/Vln8W2Xxb5XF v1UW/6Y/6emHo2OPKY1vXKo72cvVsPbki4uVBmvrP/48pJJv2rT4cEO7Oxu+ NAxzsapRaeHtuiYaz2/tVXvyi2Bhz9b5PbzvhwgzX1Bfta/Ntrz2fizysCGp M05GPxL+Iab3sqxf7wmnxdy9u6HLfWHWd5j5h/o9GnWdbWp8Q+QWjbybrhh/ TTjzfr+9LSacFo57YNtqgvdZYf5vWf/V57W7yhaP++W9tefvYp9oHHVV/EPW e1VekDExcMGRG8LTyv0Qu++tn5SX9V2VH7RbGmB831+44rnbmTu3BEp5Wc9V +eExgxMHv9D86ZlDcPo411ApL+u3Kv/JZHT8p8bhwmfqxqU1Pxsl5WW9VuVD rjvERtd5Jtw3eUH+j/ExUl7WZ1W+xfLS7G92av566uoSx7Ez4qW8rMeq/FX1 65ldGmjjvfbeVbm9ChKlvKy/qnxyxt2Z9Y9q/u7suHFu0yUp2vhkvVXlD28/ TC/VXpsPMgZty65Y/rmUl/VVlXd1efJ90kVtvAxvund21q8ZUl7WU1XuuvBp ml/vTKVu+fomQztNMfRu8pnfqo+08cN8bzOvWZOr4yMM5fIy3Cf/xdVcK2+8 tSVM2Olm3+hPfgoWPr1z3I/GA54IM36or8aFXfdt2weK/Eniz+YjJjwSnvXJ jI/77LgrnHn6YI8uHR4IM35gxg/1exaYJPiVuSly86FRXiGTrwqnNdvj+WiG p3DSHKOal46eFy4e0LKObYPf3tkPTDFbfzO+XrbiMsA/pr7tDhlv5zdYdl1Q Z9k747tvUGq7tKEXDKynMOspzHoKo3+3wYO4Wq02iz6MPow+fDux1NMxcWeU adcO19z2c44yZqZLQ+NHfsJpeePS5u4KEW7qldUn+vZT4fbnDUOavooTfrhj zauoasnCM52+Prqt5XPhj+0+Gzawd5ZwyO6sZUYncoQbr7ULjbyQJ+y44Hzr 8zcLhK9Pqbty66MXwlXtl0bMjHopPL5vfLsBKa+ET3Xsv6Zx/hvht42OP337 9q0w9pu2aT7so+u5Yj+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2 w9gftPf49gXl8sV+GPth7IexH8Z+GPth7IexH8Z+GPth7IexH8Z+GPth7Iex f235tsGpAwvEfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsd/K 6XT1Mb8Wiv0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD3c8se5I hU+2Kp98HF8wMjJb+dyzyt19LteFkd9cMKXTgwa5yqCau3tcWvpY5GsDm+1q fipcOO7O6D8HZsUIL3Nv5FaqfKKw6arnQy+Ypgr7TvQunmWRIdz698sh1Y5k Cy/e3NAs83Su8IOlq1bcu5IvXGd2athhv0Lh6d8ObrvsyZ/CFwZ7rRodVyRc oUfNKIvM18LDzRaaVysqFub56O3/MSHVyWpSnnCboTPPeB7NF46/nJ33RUaB MM8X/9LXp19vkONvMP4G428w/gbjbzD+BuNvMP4G428w/gbjbzD+BuNvenuZ b2HmH5jxyP6kc+T+aZ5jPGS9htlfzPk8yrxhT2/hX+Ytn2na9ZCB/RjlYdZ7 9lfIYeS0D1cfmlAuevIfSmzb0lN6rM9WyrhusfCreln4yi9hTrYXbgsXfeUQ YEgOEN5X9vW2nRuChLvG3+g5+K99Oxx6bUNGmUuRwvNc7Pb6BEYLrzdscu1S ECscdjLnZfVSCcLNDwyzyaqUJDx/00V3v1opwrcX13/j1jhNuMaM5XbL26UL Txqd+MeY7pnCI90aG9VrnC1c6jf748Ytc4SPbl9r/6JtrrDNRp9SiZ3yhP90 TvcI7JYv7LLIdMTVXgXC/RxtypzsXyicOX3FyX2DXwjvnHBm5Dq7P4WtRiWV XTDypXDC0Fqek8YVCW8cMHC07eRXwh17LS7X8/vXwlFdTnq1nvtG2LldzJi6 C4qFWzWvVsH457fC+BP/P+cB/f70/xofYvyz32a8w4x3mPEOM95hxjvMeIcZ 7zDjHWa8w4x3mPEOM95hxjvMeIeZP2HOT4E+kQ1vv/Q0wA96rvg1+Ja7cHeL ap+5ntTKx0V7B1epkCOcfWiHfc08jXcO6lzDeVCusLtJ7Z1rOucJD7roY1ew WeNRi/eHvFyUL2zU1Grb1BCNq6Q2qDnjaoHwua3XAsNrFwozn8P4h5z31flc 4mPqfAcz38HMd/rzEf4m851a/pPVUX0Wrz4rfOCbUrsejdhn+K+P36jrB/7G 85P13t/tbIKNp8J5tUaFnw/ltzgkLP6UHmQRZZMj+x/qW1k8tmyI40Upf911 wpno4VeFi8fnVh685q7wEt8rkcNTbwrTH/ZP4u875+UPOKb5y6CRw+cP2aHt r2jfZ+GQTrdq+Ut99UyudRg7+pGwT8bamOqOwZo9dWf3r304UJj9GfXVKbLI f3jpichHPLDZ5Lc+TLjwWC3L5YeihC+EFbusDooQZn9Hffbnbw/u8fyZyO9b z8mrOzZGuG7H4AEvHOKEXw7s/2bh8lhh9ofU19/yuN2wTfEin9aoi0ugU4Lw xWr7C08sSxLe1cLkWLs9icLsL6kvsZajUSW3ZJGXL200eN3GFOHhORNdJ+1O E+5UIdQ+2TNVmP0p9Tm/sDxx3fe5yN1i7rxUDqcLFzxsZVPXM1M4KOlAmQN3 M4TZ31JfwyelRy0MzhL5oej+dq/GZgsPDF1YnDIxR/s/JnQY0TJbk7M/lvl5 1OQytQq18tkBx/94Mi1XePftp9/cnJ0nXMF218mPXmty9tcSHxpwb2ReqXyR 97xiYnR6nsYpZ3sdP7ioQPOnXq/KxpbXmP059RV3ae0ZULlQ5L+ccLTftFxj Cze3UovWvBB2bzdutG91jdnfU9+Q5lvKHav9p8if7Q/1cNik8ertxiPst73U /LvBDa9dDTTmfEB9+z8rGLOqSZHIzTZ2K2O9R+Ng55kn2x98JWxt0qyCYyuN OV9QX3q5kd7j27/W/q9FB0c2cNO4sePjspWPvxHeXrz+2yGdNeZ8Qn2Whb7G 3XsUa//X9DKeRZ4aO03oNDrl3FttvGZknmnRR2PmI84zsr6WftnBN1Obn4xu R5y9Gp4n5TnvyHo7e7Fjmw4anzP/tsDctEDKcx5CPibq7WmXBRpPPxjb0W1C oey3mM/Zr7DfYr8Cs1+B2a/A7Fdg9isw+xWY/QpM+6zvtA/TPkz7MO3DtA/T Pkz7+ngk75vYL8LsF2H2izD7RZj9Isx+EWa/CNM+77doH6Z9mPZh2odpH6Z9 mPZh2ud9Gu3DtA/TPkz7MO3DtA/THu/raA+mPZj2YNqDaQ+mPZj2eB9IezDt wbQH0x5MezDtwbTH+0bag2kPpj2Y9mDag+V8o76/lPONynK+UVnONyrL+UZl Od+oTP28D6V+mPph6oepH6Y+3qdSH0x9MPXB6PP+FX0YfZjyvJ+lPIxcn8/F eYLzJoyc8wX7Cc4L7Id5f81+FkbO+072m8jZL8Ls9yQfTN2vwey3YPZLMONb 3z7vT2Hej6KPHH0YOeXR530pzPtQmPed9Fcv5/2mPB/1/SX26uW8r+T5UF6e v/p+kudJeeS8j5Tnr5bHf2DK8z6S/xN9zn+cdzi/SfxV9ReJz6rlOY/gXzD+ xHoI69cn/f+pX6+Qiz0qM55gxifM+IeZz/TtsV7AzOf4B4yc+Rc5jJz5EmZ+ w19gOW+q8xPM/AIzX8DMB/gDjJz5ANbng+r/X+YD4nfkFxLvI1+P+CL5a8Qj yUcj3zLHtv+tlDm5Ev8jP5N4Jfls5GPu3L/K7VSANh99ZWyc2LB6nuiTT0X8 lHw0/AemvD5/FHvJ9+yedGPVfLMcqY/6icfCxGNh4rEw9sPYB/O8YOKxMPFY mHgsTDwWJh4L8//AxGNh/k+Y853Eg1RmPOLPzOfMlzDPl3xWznfUB1Mf5zXk MHLOX8hh5JynkMPIOR8hh5Fz3kEOI+f5kB/L+GT+Z76Aeb7kw8LkwzK/sz4w /8D8f+Szkq9MvJjxAzM+YPwXZrzo4+36/TfzO/5N/ifM/MB6gJz6mc/pL+Mb Zv/AeoCc5yn7R94fqPnAEq9R5z/8nXxd1kPWS5j5kfFDfi7zIesnzPzJeCQf V/Yz6voIM38y/smfZX2hP4xX8olZj2if8U6+sKxnanvMJ8yf5Jvzf46e3+cj 06+09ZP/k3gn9cGsjzD9gek/jH/C+DvM+Ic5z8KcZ2HOszDnWZjzLMx5FuY8 C3OelfzYO1X2D62UJevxbsc2S24dzXjnfGR5t0ffqCoRSg3HgeHtT6S+c96w P2JTob+inRey0x1bh/6eIP/fT8cTvb/dkKycGXT2hnIv/J39+ZQ5Aettl6Ur JeXrprj2TTnV+56sr43SC1db1MpShntXaVTzzX1l6u4133bukqb4ebu0fdgt Suly2b95xJVIpWzuGssNFilKhU6X0+I3BSlNis59UviXfzxb1mVXn413DKt7 d7cKnJSj/LTuu41lhoUY2m3vsj38h1zFZ0C/9amjspWiwxtfmDT0Mvi4L71y bkK20u+TyfbRVY8YTs41clUmZSuXS3dyv1ljozJh4dYdEWOzFbeN8St9orR8 4X82nziuS+8Bk6z+an/eJsfdtuf+5fxi/K/K1Id9Zq7zU3akD244fJe2fy8p //haeplu5lnpis3N9fa154UooyMPNG60JF050K3Ug4Ne/3p+ss+CzoNCA9Nk ///Y8or7pNMpyhP/Zk18pmvl/9n85YqmHa3uHtLOCyXlM9fZUnnJzTlxij5f 8h/lN8c9mBgTfuqpnCcsLCq5TPcOVYxS7z3yW6KV/0f5z8w3r08kbfqxUZpi 2r13C2dP7bxRUn50QPSME8Z37sn6lNSrTL8X/Y7J+eS0T6Jns9WPDPOLbmS/ StfOrwl+5w17uuUqs0ZOvzVxWKCsT6xX4xc4jA+qnaeEBceaZ03RzhucP4gP 6vOxdw9fFjbla239fN/8bPZP62J++Hbe4eAS87VZH1eecj3fZ7OWL/uP8rfd t0/Nf/xpgqx/rJ81KttZTSvzbn73GI9Xj7/wipH1j/WzZX0bX/8v3s3/Zr2M iK92+GX0u/ng5p3PdNo98bGsj5w3r1SJGTZpxLv54mtLVe1oPO7qO/uLMl3H Ot3cnyHnjzr53srOuznK9QoTnMb0CHtnP3HxwLHOFT1yFbsbH0/fMS1N2Xy/ 5Y42AZFKokuU6R/jE5Xjx+saoi/EKQt221Y9ejVWmVHZfWTKhkRlfNf9q/3s o5R56RGB9T9KUaICJ9Wb2ClIGW3k3zEnLE0JPOLycNnLW8qDuVWn7G6RoSTk d0oIdQsxOPdZ92zRolylwptns7dZ54i/FHUPSFpqorHp1wv3zrbPVgY0b+27 3fKY4rzh/JvU5Cylhu+p4VWibig9OvS7d8orS1mQPclji3JbGfap84I2rs+V iHGfOh98HqY4F9l+0bdGstKvm9vVWz1ilfgtXgv274lX1lyyWJbVLEGptdt+ l9mpaGVkx+/aJiUmKVbdZt11dQlQWifPan3qxXPFYUNTh1hbH2Xw9/MnthqW qTyobjnV3DzCkF7+yuylhblKpdf9W6dZa+cp2777u2011vx/UL1nK2tP9FKm hftbL0vRzlM/PKtevdmpTKVjHSfrMOPzcr667hT8yPM77XwVc8iib+pk7Xy2 9tpmsxpTMyWect9ubG7LWn+N+6C3MS2DHiv10++E+WRmKD951l7TYnygnE+t yxzynXkhSzljfq159HBfQ96ikZkdIrT1tG3fke022+YoP3+/dIXPz75ynjsz 1nXn9nFavMonvZJ9PbtspXigcaf4qmcN+0Psl3z1v+8NLX+ofM98r8Sz2E/o 72d8ZJu967PzHvJ8GtqEzXOv4f7OfMH9B/yZ+tYf+jiz9bRLWnnXz5ZO8bmi +c8vdfe4bLwjvOKXHTZlE24p/+z9AcYf7V/5qsmxudUDpD6LQcdzK/s+FL6w sr775YIg4SUrI5bPbqgx45/66k081KZp11CR209MtHWqHCac3+vE25ZNooR9 ek2PjLKJFGa+kXyWz83XbnOIFvmAzZZP5pjGCO9ZesBsUMs44UVvF9dp8td4 lvf/6nxHffcyY+YYPYgXefKs0s7NLBKEO387Jbx07yTh2s+s70SGJmrjV51/ qW+q/9H65+OTRb5qsF/bZ4NThEO6t1l9cWSa8HnfSk5bs1KFmf+p7yOPOX4z Xz0XeSOzrVHbJ6cLO9YtNJ8zN1N42L7gzweU15jzOfW5dDTaOrNmrsg986vU XT5Q4xHpvW/PsskT/tLMvMfouhqf2zlvSu922XKeb+m3avCgvtnKysttM60/ OqOs3TX7a7s62UrU70eeegQalNzx5X5rVD9bsfyu2VR3M4Oc9+lPdqNJKV82 zJf6jRKc5o6x1/hopHu9gWMKhHfX3bnNopnGxAOoz6r6XavGrQtFPiQo7E7n CRoX+lV0bOLwQjipYlFq1Q4aEz+gvl9Km+142+VPkR+43t20+iyN+/nMumfk 9FIbL0Vje2ZYaUy8gfqicn59HmFdJPJ0LxenzIUab/8jsEHU0lfCK1Ov7bw7 UGPiE9RnFpvX65zNa5F3/73s/XurNE7YbTH//IY3wsFhTTJc7TUmnkF9ix8N 371lTLHI1292aOi2RWPztXsfbN31Vrjx3XV9lk7Q+N99H2mfUbv751ZnKd0S 9qyv9OaOcrmm29yTBZlKpP9Bj3qN/BXj2ptq5v6WqZz0DlzwIvrhe99fWnzc ynXco3SJ10wbkG3y5eB05e7BgE6zOv377zf13OTW7s+ZKVr8J/dq22N1kpWo 79dcqdolVhnqF5zVNylZ+ehZqP/ERR/uQ+nvQ22yqxXqf81FORH0WxOHn7L+ 4+5DEX+T+fsr611OZbPl/ULevthg62fa+1Tih9YzvV7/uDxUWWRWbPJVTe19 5YHhY2ZX33lNWXi0/ORaV7V4XXOTPztZNstUbtZoV2Vrg1sSr/MsM7hmteuh htMWU4enntHicynf70lR4nOVcVNTSk1fm6Fc+biVR/EfQUrpz5tlNM1JU8Yn 5owq3hWhOC89fH/cj6lKrftflKoW+lSJbrfQs2mPJOXFw6Adr1/HKmOjNz0d cipOqR8z1N06MkGp0PSbfeE+T5XJplViHH5NVvY2t2583jdcWb7MJfV2ZIoy qmyn5NO2fkrYk6/CVmxJV6weHPM98+UDg1WZJVXa/JGjVPW8HL15aYJy7OA3 ySlz45X29iHGrQJiFJvGN861skxSLA2LPM1+eKx023Y9r++Y5yXeL2P/SryM eA3MeRUm3gMTD4KJF8HEl2DiE/r4HOdN2odpH6Z9mPZh2odpH6Z9mPgc51fi czDxOZj4HEx8DiY+BxOfg4nPwbSPv9M+TPsw7cO0D9M+TPsw7evzPzif0x+Y /sD0B6Y/MP2B6Q9Mf2D6A9Mf4gP0B6Y/MP2B6Q9Mf2D6A9MfmP7A9If5h/7A 9AemPzD9gekPTH9g+gPTH31+CfEQ+gfTP5j+wfQPpn8w/YPpH0z/YPoHSz68 Oh9LPrzKkg+vsuTDqyz58CpLPrzKkg+vsuTDqyz58CpLPrwuv4V4EP2F6S9M f2H6C9NfmP7C9BemvzD9hemvPn+GeBT9h+k/TP9h+g/Tf5j+w/Qfpv8w/Yfp P0z/9fk7xMuwB8YeGHtg7IGxB8YeGHtg7IGxB8YeGHtg7NHnFxHPwz4Y+2Ds g7EPxj4Y+2Dsg7EPxj4Y+2Dsg7EPxj59fhTxR+yFsRfGXhh7YeyFsRfGXhh7 YeyFsRfGXhh7YeyFsRdm/8H9eeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7 YeyHsR/Gfv33yXjfxv0pff4b8WXKw5SH2d9z3wZ9GH0YfRh97uegD6MPow+j z30h9GH0YfT193GJj/L+Q75Ho8aXYOTEh4j3ICdeAxNvgYmXwMQ7YOIVMP+f vn19fh7neZjzO/4IE8/T5+dxvsafYeKJnKfxf5j4Jednxgss+Y3qeZl4LOdh xh9MvJjzL+MV5j6TPj+L91v8v/r8O/Lv8Rf9/WLOJ7D+vKB//vrzA3LGL8z4 hRm/MOMXZvzq22P/zv/L/lDu3/B9R/X/Yj/B/8P6zPNn/ud5Mz9iv/57hYx3 8k/I5yC/hPwN8kE4b5M/xvfQuN/K+xDiAXy/T+7Lqvkv5AOR70I+Cfks5I+Q r0K+CPkoxAP032cjv43zP+9/5Ht8uvup+vv6PB/+H+yBifcx/8PkU/F9Qf5P 5h/Kwzwf7l/D3L+mP5SH5f61+n/L/WuVkTM+kcPI8R+5360ycvwNOYwc/0QO 6/PpYO478zy576z3F74Pyf1n5Nx/hrn/DHP/Geb+M8z9Z5j7zzD3n2HuP8Pc f4a5/wxz/1nvL5yHsY/8Upj5nvGg/76jfv6T+4+q/5I/CpN/hj/I9wdVxr/x B+SwzA+qP8j3DVVGjj8gh5HjD8hh5PgHclg//pDD8n0kdf2WeKrKyFm/kcPI Wc+Rw8hZ35HDyFnvkcPIWf+Rw8jZDyCH9d+HZD3j/5f7Zur/rZ/f3A1+ZUef zRN97puhL/fP1PJG8zc23j5c49FmQ6z9X+aLPvfP0Jf7aHyfNM5kUrn9GlfZ 89hZsdLuo7Efw9+ZD2DWP8nfVdc/xoM+P5z1hv6xvyV/kPmf9uU+ucpyn1xl uU+uMvtP/I39F/M3zHxPPiz+y/6L/RlM/if5r3IfRN0/ST6/yuRrki/Ofpfx Tz4s45/nST4v45n9Fyz5K+r+Cn+CeT60T34m7TG/8D1gnjf/B8zzI/5G//TP i3gT/7/++XBeZz+gfx70n/7JeFDnA+ZX9nsw+xXmY9rjefF/wDwP9h/os79B n+dLf+X7s2p/JL9BZfyf9ZH69N/L+JAP+/87H5b/4+iTzqO6ncp8J/9Vvteu vn+jPO9v/tu+Z/Lvzgcu6Xsp/2q+sD7ft6R83ZLycUvKp9Xnw+rzXUvKZy0p X7WkfNSSvi+jz19bPar3CJsJlww/9dx8uDgw+5181pK+R1NSvmtJ36vR58P+ 3d+vYX6W7xvp8utKyr/V59vq82f1+bEl5b+WlO+qz28tKZ91o0O3Hqu/fTd/ 1bL98kth+7XvIbNfxX7mM33+oj7fVf+9n5LyX9/3e0D/7nxZfb6GPn+2pHzK /7T82vf9/s/75uP6hjuvWd7sN8ln0OfbyvebdPGav+v7Qvp8XtojXvTe+b3v +f2p983n/bvzbz/k037Ip/2QT/shn/bvyqd933zXkvJX3ze/lHiEt/+4MuPC s5VJRQUza1fxNtSef2FOzrYP35P78D25D9+T+/A9uQ/fk/tH35P7u/O5qT9m qc2LaZW0969iv3w/fcm8kReyFM/n218Vtlkr8X6rWw2iS4VdN9S6GmEe3CBH cfqt5ZyrS7R8AeL/DlOKw20/zfl/nw+uv3+ozw+X7+MeH+2zssDR8L754vr8 +f8BxbHClw== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJwBvQJC/SFib1JiAgAAAOQAAAADAAAAPjk1aWssQDo2FhESQzs4BwIDCgUG RUQECwYHDgkKDwoLTUwMEg0OEw4PUVAQSUgIBgECKS4tFxITGxYXWVgYVVQU HhkaXVwcIx4fYWAgJiEiZWQkGhUWKiUmbWwsKyYnLikqLyoraWgoIh0edC4y GR4dNzUBOTYCOjgDAQYFAgcGRAcDBQoJBgsKSAsHCQ4NCg8OTA8LDRIRDhMS UBMPERYVEhcWVBcTFhsacXAwWBsXGh8eXB8bFRoZHSIhHiMiYCMfIicmZCcj di8zJSopaCsnISYlJisqHxobKi8uJyIjNTkCcDMvUlEQREUIATUCNjoDQT03 ODsEB0QIUFEUNz01OT82OkI4BEQDdjIuAzgEAjYDRkUEekoISUsMCEgHRUcI C0gME1AUDEwLD0wQEFAPOzwETE0QIGAfTk0MTU8QeUYEe04MfFIQYWMkJ2Qo FFQTF1QYXl0cVFUYfVYUGFgXG1gcWFkcWlkYdDEtfloYVVcYWVscH1wgXF0g HFwbgmooVlUUf14cYGEkYmEgXV8ggGIgJGQjZGUoZmUkgWYkZWcoI2AkKGgn UVMUK2gsbC8ramkoaGksSkkILGwrL2wwldBTb4Qwa4Msk81PkcpLj8dHcHgz R3oIjbM8Z4IoY4EkS3sMT3wQ9PZ49Yoz6et174kybW8w7vB3X4AgPHkEU30U W38cV34YeHA0MHAvg24sndxji/c0m9lfpehzmdZbo+Vvn99n+PR48u537el1 oeJr56Ryl9NXdXQybG0wbm0sdncycHE0LnQtcnEwcXM0dHUxL3Yud3YzhHIw 6vMxSEkM25xi1Zha0pZWiewytrc95KJuubg+4aBqvr1AwcJCxo5GzJJOyZBK u7w/6Ppz+bQ0tIs03p5mivEzz5RS/IyFxMND2Jpe+/yFxVHOpQ== "]], Polygon[{{184, 134, 57, 62}, {209, 151, 87, 85}, {212, 153, 91, 89}, {189, 135, 58, 64}, {156, 218, 97, 98}, {164, 230, 113, 114}, {158, 221, 101, 102}, {160, 224, 105, 106}, {162, 227, 109, 110}, {171, 210, 86, 125}, {167, 198, 70, 121}, {186, 190, 64, 54}, {148, 206, 81, 82}, {146, 203, 77, 78}, {144, 200, 73, 74}, {142, 197, 69, 70}, {200, 145, 75, 73}, {206, 149, 83, 81}, {140, 166, 59, 133}, {195, 136, 59, 67}, {181, 185, 62, 53}, {150, 209, 85, 86}, {172, 213, 90, 126}, {218, 157, 99, 97}, {170, 207, 82, 124}, {169, 204, 78, 123}, {168, 201, 74, 122}, {192, 196, 67, 56}, {152, 212, 89, 90}, {154, 215, 93, 94}, {179, 167, 121, 60}, {166, 141, 60, 59}, {197, 143, 71, 69}, {229, 178, 132, 111}, {226, 177, 131, 107}, { 176, 225, 106, 130}, {174, 219, 98, 128}, {203, 147, 79, 77}, {241, 242, 119, 51}, {246, 245, 51, 120}, {136, 251, 133, 59}, {240, 239, 50, 119}, {247, 248, 120, 52}, {235, 234, 49, 117}, {223, 176, 130, 103}, {250, 249, 52, 115}, {227, 163, 111, 109}, {236, 237, 117, 50}, {230, 165, 115, 113}, {220, 175, 129, 99}, {202, 169, 123, 75}, {205, 170, 124, 79}, {183, 181, 53, 61}, {177, 228, 110, 131}, {191, 182, 61, 65}, {178, 231, 114, 132}, {199, 168, 122, 71}, {175, 222, 102, 129}, { 194, 192, 56, 66}, {215, 155, 95, 93}, {173, 216, 94, 127}, { 188, 186, 54, 63}, {208, 171, 125, 83}, {214, 173, 127, 91}, { 134, 187, 63, 57}, {217, 174, 128, 95}, {224, 161, 107, 105}, {221, 159, 103, 101}, {211, 172, 126, 87}, {135, 193, 66, 58}}]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl/dzV0UUxb/7IKEngRBaIEAgEFoIgdBCEEGkKKCgIjYkIoJIQMSGCqiI vfeGimXUf8He+9h7b2Mfy1jGhp4z9/Mm/HDmvrdvd++5d+/Z3Te4Zf3i1qxQ KNSmQqGd7NGypwilwnbhP7W1kz1H2K3nTPZw4UShs3Alz27bKmwRCsLlwgbh MOF8Ya1wsHChsE44RLha2CgcIfQSioRi4U5hs7BSuF7YJBwl3CicLCwXboan +V4qrBeWCdcKJwlHCncIpwvHCLcKpworhKX4qhBuE04TWoSLhVbhUGGsUCUM FHrDq4NQSdxdhP7YrkK10F3oIQwVyoWeQj+hE2MG0LebMIS+5fhxWwn+Ssh/ HWP8vQ/+Owpj8O1vw8mdOdZi3bcvfe17NLw9Zhhxe8yIPfoeR3uNMJI2cx+F 9fjBQhlx1sN1kHCAsJcwQxhPLhxfA2P83sS8nm81fhqFSXByHBMY5/xNIR5z nEh/95tKm+eaxnyOb1/mc99m2pyn6dg6ONaxtpPxaR97E884YSbW3GdhHdM+ WHNcg6/Z9B1EnHPw75jm4cNxzMea+35Y52N/rONYDA/7X4K1/0XEYO4L6Ov4 DiTfHrOQNveznlz7rsuDmMPcrUVr1PVgXVvH1rP1an1b59aodWltzCUOx2Dt J+HfQujMmnZtWcfWirXhPcA6dp1bQ9ZiB3LjWnbdWJfWsTVwt7BKODaFjlfQ byxxOV7rtYWx5u06dF1ar9Z0d3i4zXVsrXvPsK42M3c5nCoZ7xp3HdXQz/VW DSfryRqxFqt4zzVZRTz20zu16b8SHtXUQCkxD8T3UHyU8X0Q+e2V2nQ4HE7F zN2LmFzjI/Dheh6FzzG8u3ansEb27/psSG26HUkMdYyxb9drrt168p1rYzpc JzCX53C9NcHRfibhu5lvfeCY7z21e8TjvhP5PhWuNbQ1wq+Jb7lWm8mb164n HF3jM8jtCnKZ63NmatPnLOb1XjA7tWnMmjsjxb5fQRzW51y4zGFMrs/5cJ/L t1zD84h5AfOekOJMK4KfNZnvhbbWrs8rn1ElxLaQ8Y5pMWPM21rNdb+Eb57X eiwmN4sYP4N1q+ebNZifDdZmJ2C9dwbWZhfg/cH17rq1jnqAleS+BM6l9LNm u5H3Fsb5fTl97XsZ/r1uq1i7TfRx37NS7Pten+NT7KGzyd9aYs33X+fmzBRn Ug3xteJnKXkvwud6/DpP68iHc7CBHFhzDcztHGwkB1WprfabdAF6EY4vCw8I 2zxW7dXCTj0PlK3K4h7xvfAcPLy+N5Ev72/XkS/zugwu3t9uSVG73rtuJ+/O zw3kyLyuYW2Gyc/wLPoNlR2SxT2lv+yALOYaIVubxR1nquxT5HSUnkcLu/T8 jDAti3w7Ht/PfDfrrbY+WfCukO2Zxd3qPuHdFOdBP7X1zeKe1UO2PAuuZbKl WdzLnhWa9XyP7L3CGynOFef+ihT19zT8zM1nxFWsg/fqXdTcata7Bn4+k3we LSe/JeR0E7U0WfO9wJg1rFsj43bA32fcefDZQuztadtOn3NTnG0Z1u8J3+7j 89Fr5nOojDUzb2ulhbW0Ft4T3mJunzt3pdDBDnzbr2vzohS1/KbwKv7OTpE/ 93lQeIU2+zYnn7nWgfevCvJlH9bpJ8IH+LGGLkihA2vlkhT6MPed8HXNfpmi bhuVw+eZ1/YHnh3HO8TyknA/3B4Vvkuhv7dZb+etneZpn8W6via8Tw69PhOz WKOvhK/h963wTYr/AHP/CP7Ox+v5GviHJIt/i2LZoiz+FczlY/hMUNtjKXLz h/B7iv+AP4W/UmjvH+HvFP8inwkPpdhvfhF+TnHf/1X4jXx11JydstDhJNkn UtTmj8JPrJ9z8Ah52O1aSVHrD+PD829lDc2zi+bpnMV/STfZkiz2iHrZcVnU ynjZhizuRE/i234fJ07H6P1pSha1/oXweYr/Ku8X3ne6Et+ncKhT3zFZ/Et9 mELbrvn/ASexHqY= "]], Polygon[CompressedData[" 1:eJwt1NVvVUEQwOGz04u7a4FCcYdAIMA/0QQo0gItULQt7gFCcNfiUPQBdw0O 4QUJEiTBghPcvf1NZh6+7O7du2fP7sychLSspEyJoigJMZRicCBE0UjkoBXj 47T9sRVFGe+nHYHlKM/4IO0orEIBxvtoh2MpTuAqJmMKGjHfDJvp98Uf7EE2 FqIpc8doxwf7zwu8wWx0QR3mj9COxQY0YHyUdhxyUZdxQ7F+OqrQP0Q7GmtQ iHExsXdPwVPswGDMxGvsxFDfszj/LS12F6nYjmt+lghlmKsgdvZe+I7dyMJ8 VGSuqtjevfEFP3yuG4S5gmJ31ROfsAuZmItqzNXEOvp9dE/6e2mHYTH+IYj1 e6AG/cO0Y4KteYJnfrbOeI/P/uxk/MRfv/vuqMX6RLG7TUMTsZhprDbhHc6g KyZ4bE9iqsf4IR4gDjNwF3f0nJiOW7iNaf7bTdzQM/hvp/EWQ3yPe7jva/WZ rzwnNBdmeexeel9j+AiPfe8YPvqZ9axzkOd3pne1CN88JhqLeX73X72vMfjt d6R3syBYrv73tdmeKx/82ZozRcRyTHNrmefCL1+rORETi7nGekmwWMaJ9TWm WjuFxdZqDZ1FG7G7zghWGy0YbwlWIxrrBMbrPebxYjmjubI2WG1WYrw6WI1q 7ZZgvCJYDdcWi7nGWp/Rkf4l2oEYFKx2qos9S2uoPf0LtAMwCW0Zn/N3m4j6 YjWotbcR5cRqRGtjZbBvS1mxvn5jzqOd2Fp9ptZyY7Fc05puSb85+gU780V0 ENtb37GkWI1qbeqZruMytgXLycpiNai1p3eg3456Yu+m35BO9K94ruia5zgV rFY0B3Xv1mLfPn2HfEbGpWs= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHec18URPXYW7GClKoqIoOmxJ0qNCNLkIHTUO8CTdoCIBwE8A0o7TiyI EhSDYEPQeDkVsSAYDKIGNSLYY2JMrAgqFhDzXt67z/nH+8x+t8zuzryZ2d+v RfG4wtJUUFCwrU5BQUAengsKZqDxFDqvB9oCnYEvgPZAF+BboBPQDdgNdAC6 Al8DHYHzgVbQcSIwG+0dQDvgPKAEuAi4GNgL/AboDrwHPAbcBPwXeAK4GfgU WAL8AdgHnAv0AD4G1gGLgX8Aa4AbgA+BJ4FbgH8Ca4EbgYVAT6AfMBwYDAwB BgIXAL2BQZaFHqfs43mUfYFdwE7gt8Ct1neh78R2f9+NcgBQZMl9ii25zzDL wZ7Ls/UCbgeWAkOB26x7BHDJD/YZ4Lk89/vA48CiJJ8t9Dku9Tm4/9gf6Bhn H3A8wT91gNFoj3ffSGCC5aiksWG2Wal1lHi8yHe6AxgDTATKvAf1LXffFGAa MAm4Arjc83muqf6eZIz1Pr/zWo5N9zrqrofz1gUmo70SmANUAFd5H677vSV1 XwOUe3yG+3iWu9x/te9Z7Hu2hO6moT0PgNwC+SAwyzqo+x6v495z3eY+8yw5 l/w/JrRna8jjQnPvB1Z7bn30rfL57/T5y33XUtvxIMx5G7LK/dN9fsYj44lx xRhkXDI+GYOMRcYk45SxyJhkrDFeGbeMI8YcY49xw/gg/xgrjD9yi7FITpFj 5BdjkbHBuGRsFXoeuUj+MhYZo4yRt4BXk+K2p8f7WddAr2GMMnb7pNrY4xg5 Sx6WpNrYY4zsdLuvdTEOLky18VYTF0X+rom3olQbb8XWNdzfS90eYl3k9gjr KvH3H5NiYLh1jfT5qGuUv4d5zqhUmzsGWRf5PMa6Sv1dYt+WWtd4f9fE3niv IfcneqzM/uf6SR5j7E7wvsyxzNNtvX6y13A9Y2GK10z1N3VM83epdbOvrrlf 5jXkfHmqjSt+r7D+CV4/w2NNzXfqPSEUS3ejfV8S32tiiJJxwpgg9xlHjJVZ 1sN4muv+mrjiN+sJ4+petB8CqoEFQJtQjDGuyDfymdw8An2Hh+b9OSmOrwUa hGLvT0nxXWU95d6P+z+aVE+o75GkWkj7cu9Wvudk25p2WGZ/02/kKGOBNeLp pDw+wn1L3L8+qX6Qd41tp+nmD+Orj7HY+trZx/QvY5TxyXh6GfirffISsCGJ 188l5Sna8Nmk/FLucXKafB7queT/5qScyLs/k5TTyZ1mtvcM26jaNvw78Lx9 +7ekPFZpX622v7Yl5Tv2MT98Yhs0D62jv1vYDxXW+6D3eQd40b7Zbn8vsE/W 2C/0ycO2yQtJ9aDC/l9rDhwM/fuH/L/QfuXajfYZ/bUpqVaR78x5zHe9bZsN ttUy+3KE/bnevlvlvStshzeAB+y3dfbdGx6rtF03et/ltvVE+2qz7X+fbTvP 9tjiu6+0X+fYn5t8ZvrzL0k5aIX5QG4yZzNfF9oe/0q13Pm370o+MleTk2/6 rJX22yv25fP2Jc9DbjJ3k5sNQ/tNsK+2+5zMIY2dR/ieecm2rPK8Bdbxke30 tv1dZT9vTeIZz/6B96TP37VvX0+qMUvsq//4rr18P8bFZ0nxwhrJPNnQuZJc Zy0ZarnL7c/dph0OCX2zvSepjnbz9077lLWWNZhx+aXbXSy/9L6sy1+5/5uk 2sx6zLrLetzJuve4v+ab9bqD19fUdK7van273aaf9/NbiP4Pv+X4Rt7nfb53 u4clv1n7yWs++Mmd3rZfoc/1ne872rYbZV+zfZn7ktuU2e3GfptdmXQmtsus b6/35Xnr+cxhPaM9t57XdvSdaQPGLeO3Jg4ODPGEOaO+68dhoZzOPuZ75v3r kvoODfG52mPMMau8ttKygds7zBvm+aOsh+samT+8YxNzm+ds5rfizKS5R3pf 8p79rINbrava9mniXM/xZq4jR7tNPRxr6djhGOsia2Jzvyf5e4q5lbWzpm42 d+2kPNa59VXzmJw91nNm24+NHLct/C6dj/bxoe/57j/e9mzqOj7Te7awzdl3 gvsZb4vMo2Nco2fbPke7frDW8fcJ326sM6xJrEdfY/zbEK/PxG/Pm0K5sjvk spD9htLOWTm4iHfMyqOL0O6W5ePzgdtDOWsk5I+y9hnGu2Tl2hK022TlztMg bwjl7l+ifV0ot14J+WSo5o+D/EVW3u0E2THrPb4E6BKqve3R1yGLlzfS9rbh VZBPh+rNYsieWfwYA/w0K9+3gmydxfsTIbtm8WoI5KPoOwm4n1wAXkP/4Kwx 9t8DtDMPZ9MvWbXkbLR7ZeWDufRRVp04D/Juc5hvpTY+52p/k1NnYM4VofpV TT2hXNuZNgvlSf438FzIlw9Anps1py3avbNyUkfyLqtuVDF2Q7WlM2T/rBrA s5zj87RF3zlZv7d+DXl2VsxPBE7NilfabHTIbmsgy3xOcuHiEB/GQt5mvtFv pSHfjYK8tSbuaMMQl6j7spB+8uXSEGfIl+IQZ8iXS0Kc+Qry81B+/xTyw1C+ qIM534Vy9EOQD4fy6t4Qv8ntepiTsnL9RYzHrLx5KOTBWXn5IMj9svIlx7t4 Dm12S8huj0P2CL19eKf5vtdhmNMvFGeN0W6Sld8Zs63ta9pmge3zK8gGWXWB tqTvac+zsuzL9l2Qg0M1/FnIPqE31JGYMyD0DiLXrgnxjf6fE+LAlJAu6lmO drljiry4PsSNp8iZ0JtuEuTloXdHI8wZ5H2XQnYNvTevhmyY9Q67AO0VoTw3 i3km611Fn3xsv3wEeUoon/8Y4/NCeecF5pjQe2gm5BFZ77m+oXvyjhshnwm9 OTbxTqH/kybTt6Hc+DOsqwy92+j/782BniE/0UeFoXvyjhsg14f+r3oMcm3o 7XMq5CehN8PmUO5g3jgu62681xOQJ4feu9Mgp4beShX0ZygP9w/xgBxomZUX mBMOQfusUP1tlmVH2nAf5Omht8RJWfmCuWJgyMf0L7lZ3/x8JJRf6OudobzA nEDOHmDefsbYD72fToPcHXr/BMbPCL1z6JM77Jf90X9m6L3B+MiOkRfRtyX0 vyA5ss423AG5K/RW2wa5PfT+e5kcCb1reac9vtc3oXPwDFshXwn9Z0Z7HJhl k2vRXhmqWczfnRwv7OvgfsYBeUlOsm6cklU7WK9Oz6pZrCE/z6oj3SFvDr1N XgdeC/2v+SbkW6F37VFZ/CP3PuB46P9O+rO9ffoueRd6K79DvoT+42StYA1g /v9/TgrlJXL85Cyev0/bhH530cZ1s+z8Hrkf+g+V/P1JFoe/CHGRPKSvCrL8 9T/n68xc "]], Polygon[CompressedData[" 1:eJwtlnnwV1MYxn/Oe9AiRZJGJiVLtsIwRqS9H4WmSEWW7FvZxzYZYwwzilLS Ymm3VRJFRQkpKa1aqJS0WLJETEI+j+f88fm+z3vvufee8y7nfBv27tulT6qo qBgIGU7jp29UVLzGxcUwB/0hbEQ/A0+jezDmGOyr+M9hz8eviT0IRsAF+LWx dWAZfAFbGTsUPkYvgG/Qg2EV+kvYrnfBGTx7F/5E9OcwBN2Ta8dhJ+FvwX4H P6FHwFfor+F79DDYiP4WfkQPh0XopbqGfhbu1nxhJXoydEA31xrRy2Atuim8 nzyn8egJ8BK6F4xBj4V30O1hCvp+eENzgVOltSb0SHgL3RlWodfDeejWsAi9 Aiaip8I69ABYgj4JZiXPeRj6AViDXgqD0HfA6uR3TEJPhrXogfAgupNijp4G K9Enw3vJOTiHWLbFX4Kuin0zvAbNXXPoGY6JYqE169sPhd+lOcxHnwgzk3P4 CPoX+A1dA1sJLWA+/nK9I5xD5U4xb4PuxhwaYfvjb8A2g9nJORyl+WfX0hT8 udgT4N3kGmzHvX4l/orxZvQpMCc55xeFY76+3L9R8+WZT9ETYDb+hTAo+R0r So2qNrck536daiy5BtaHa0y1pWvKzfLwWOVIc98EPySvQbFZDJtTiVG4JlWL GtOaubTD34Curl5RrcH05DnNRHdUTSePWRPuEfXGNqjH89PwR6lptZbsGlDu D8GOLj1Yp9SAevUp9OPJPataWB1+l2pCvTo8/Kx6tmN2TaoWa2Evh8O59hH+ 6OReOSz72+oZ9f7Q8FjtAdvCPare3AGfhHtevb5JPR3uSfWiYrRDvawaUi/C TvSv4V7bmbwp7QO79S3oxr2D8T9APw+78H8PP7sL9qD/hj/Va7AX/W9Y6x1/ 6F54bCX8hd4d1nqmJu+uBXsVG8joyP72Huiu2OLPRb8A01WLWmNyTrqiF8IM 9JDk2p0XXrtqWLW6NRyb/2tWtRPeSxSDqry7CnRE/wMHomtAp+Q5VUNXz76n a/ui98uem57RXjm49Jb2TNXaZVxrUmquO/pJ9KPoxqUX7yu91qjsLfeE90bt MeeiuzCmHrYf/rXYkeHeHqf9BN2Z+3Wxd+K3wl6M36DUXEtsV/z65Zu3Y18M 732v6/3ca5PdC1Pxr8AegZ+wAdfB0Vojdn9ojL4GO5axC6Ah/tX4Y1RrUBv/ 0nBtKEefaT7hXKhmHka/Hd4b1P+HMr5HOJeq8fr4vcK1Pk/9jn9TeO9YCMfj 34A/PnlPaYZ/K/4r+hb0D8dYsX0Z/yx0i1z2Wn1D8QyfpaqR7eEzQ2eFzrQZ 6FklV8rZEyUGWrv21OuxTbLXrjkcq7M4OzeKUW84KjsWitG48B6tvVlnkHJx W/jsrl9ypZwoFw1KLpVj5bZuyf3NZS2qgcfCOYpS88rVlegczlklfofsWtC1 s7NjoLVXUY3A6dn/LXTG34t/ZvZZrzO0Lbp59tgDoFV2jag2qoXPrpbZWmfY Vdgjs3OlGrgFv2l2rpSTPopvdm70n+YS/J/De4vOLO217cNnq/bc/wCROzxE "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnXcllUShj/kPfMa2A322mJjYffqqrvqmqvuKvZaGIhggIWNIKKIYqBg IFIiiIJYSIeIYNeiYmOCintfzv38Pv4Y5jwnZuacMzP3nJdv/VPOP+K8JRoa Ghbqn6biH0ZDw7uia0pDw/Gik2oNDaeLTlL7P+Jniv6r9vailUTLiU5U32mi c9VuJVpZtJdk7F4XsU50ssbPEu2v9jai5UWnQOo7G7lqbydaQXSC6N/qO0N0 jNpHi05V+3zxHUSriDrq+0LRRZC+dxKtJlpRdK76LoHUXkO0umiKqJ36rhJ1 ELX1+rbq31G0quhSfZ+HHtHlln2x6DLRBV7T3uN8v1lyPnJPVbsNZyOaqfZU 0ZqiTh5H9rXWje1HauxK8S6i2zx2nega62PeMM0ZKmouutq6GbuhlmvZyy21 HGPdje5D563uq+R29J6GlNR5u+geUVe3e5t3E/UQ3SS6WXSH5fJ9n6i7+7rb DsY6e3/tvb6Lx+60DGy812OsW182rCd6Ru0WJW3oJerpudh+lzln08c6sesB y2Xua6JnRaNEz0jOcNHaoqdLyusresT7ZH8Peh2y19Gch8SfFD1s/cx7wjqY +5h13y963Jyx/t4P59HPsvkeWEuZ6H3KHNkjRQOsa7BtYt1Qy3qUe3Ef38+L BnnuIMtgzTDPxa6nzR/3GTxp/Y/arj4+l4G2Zbjnsj/OHntG+H64P3zoOc8d 5L328FmPtW50vmiOvFdqeYfIecH7Yd4k0WjRGNEGvueXRRO9N8bG2z50TjBn bJzPiz29atl8T7Y89Ewxx67ZloWMZ6VrpGhD0evWiY0jSrZnWMYQ2zrVMtjT TM9F5xvm2DLHsifa7sFe/5b72Ossz8Uf3zTHJmKmk8/3bc9lH++Ys4+PbBf2 fmI70P+F1zB3esk5H4q+dN+7rKFfNFr0P6/Dls9tNzbOdR92zXMfcj+2TvRt ovXviX8tuk3tT8V/Ft2u9mfiv4iuLWnrfHylpC3f1TL/EfvkuE7q/0D821rm RnIwufhKtd8X/0Z0fUnd34u6l7R1QS31zLbdt5S0+yfRDSXP5QfO0/v8sZY5 uL11f+r9sb5nybP7VdRS7T/Em4pPFk0SvSCqi5Yo2d9R1EG0SPOeEx8l2lzU W3SPqIlxEHwD55p5/ZKivuQQ0VKi+0V9RMVjyK4Zy/7Ez1riIPgJju5gzAFT wDdwA/zYzrjKud5d8r5/qyW+gJPgJbgJloKp2xgzOeftjb2czY7GQzCuR8m7 X1hLnAQPwTYwHYwFa1sZV8E1cgMxR+zxfZnPmvxIHiIfsR486VjdfS2xB1wi 94MBF3q8g8du9Fhb913m++vs9cwFq661vqs99s+SeHl9LXF1irGTNTfVGvGJ fAVOkNPu9DeywJAKD+FgDPFD/E21nlu8bq2SmHS3dd9s2eDwEGMVc3taRwfr qPC3wkb2D97d7j1393cvn19f7/8a6+/q8+1lGeTv+6wDzLnf3+T3/pbH972e +5jHurmvt2180Ov57uf7G26MfMhz+3ush/UsjnmVXPL60Foj9gyrNeJchXtw cGgjyZ5Wy5hftyTWDqg11hn32KYnrIPzGGRZfA+3jqoO6Gkb0T/Ee6iwsZ/7 +F5GesLxiR1gCH5M7BHDJ3oNOPOc14z2N7LBlDG2g/FRlkE+H2c9Y7xmpPvA CfAN7ABjRrjvlVojXlb4OdY6/lISF1+yjvHWUWEPORnMIRfOtj6wY2KtEf8m 2+6JtUb8nGBZ6JnqedhEnp9he2dZR4VVs2zrTM8DP8HL6ZY12/PQ85ZtAiPI zXOtg1gCkzYuefdgCbg03XhQYd7blkeuJ2ePNi5Ms45PLRP7yPOf2L65/sY+ sKPCTPiHtulzy8XGef4GO773GvSTS8EG8Aisw85NS+LfVz7jt2uNGPmFZYFr YBe2gn3gG/sCj36wnWO8T2SAXz/aZnDzO9sJ9s233eTpVs634OzP3j+5eoHt B8sW2gaw4Ffb9A+1DxVtYbwCvxpEW5bEvCWMc02Nf5OMZTWP1R0nTY1VdWPX kp7DGLG0tMea+fsht5m3dcm3H7h4oPguzpvg0ArGL2gl49G2Jd98jJ/v/Vdv qlWNU9BqxiYwircb7y9kN3fuPUB855Jvq2oec6aJt3P/TN8J9/6a7SKvviL+ MrlI9FdR68Vy0zrOGXuXzFn0HSS+a2l8q8CJ731KvmHoO1h8N8fzBHNi7kXx MSVr0b+VfAdXsbGR/X7fkjFD3yHie9gXDzfHR7Fxbefq/Ur6K776kvjYkrXK EyXH9vT+8AvqmcPE91rMJ1r6zrmHbXwX1GC/OHZ4O2/rfu52q5I5k/vcrjTe 5/a+U+oF6pi2ji18FP98VPws39NMc2rBx8Uv87lzzzv5DjnjvX3mLexL3HVL 2/+Hz4wzJFds4rN6z3ey62J32NpnxZ3s4zti7r6lMd4P8fkeUfL3CM4D3D/Q vtK+pJ+tudh9cOZ7+pxpr2sfWse+cJD9hLM/1Oe/gX0DG4jNw3wH5P+D7Ssb 2z/YH3FA3UYc/L1knCOP+vD0kjXi8yXroStq+ZsIY23M+a3kHLWP8hzqpRNL 1qDUeadbFnOo+egHG/9VEh+pU+F8E9fIO87zj7X8U73uRM+nlqWORB52UKee UvVZ78kla9+qZqXNuldL1nXUSsxlzZkeP9ntqt5l3Wkl5Vfn0M7r6WOM+rhN yflne10b66U2qfAc3z+jpF+Tw28umcfJx+eVRr++wHeCn15cMtfg++eUzF/k XHJvk+reSvr1APf/LpmX2p/WtG/i/2vbbuy/0nPa+U5Z19EyL3d7kfED7AF3 6LvCc64qiWcVPtHGz68riT3gzUDLWuRx1pBbkAW2sY7f+5APVmHLpbaZPsbA vM4l53/rdZ2tl9xwdsncALahF3uJe/IAeQXs62J7yM1g88fmN5bE6S6eRxss pM4A+xm/wXcEtt5aEl/n+hucpY82dcnNvtcKg2mjs2tJmT9bdlfPB3PvLIm7 3UriMTnxc+dHciN93bwWu6/3Xqsx7L2j5PwFXneH5ZATwfJ5PpvrfM53lewH 1+fZDnRiC+2FPkPO7xLLuMv9vUrmW96G1FlvlKyJqLv4XYD6jfpqhn2GO51m fxvjOYxXOZq7HmE5rOW9PNY+PtVzsGFWNcdyp/uuZ1kXa5k/p+Q7bXbJ3wLa uX+ada0Y8uPI/LJbXTk6MlfuqvZukTkdPbMsc0bVLolDyASnwDNqnZr1zLad e0jOvpG5f7Do4ZLv9N/xl0g/ZA11EW/2e0u++YmpQaIH3N/EcziHpzyv6uvt OfD73Gbd/W7DH7ReiPqJ2gmceawkzjVz/7Il65MnRZu5r6/74Y+4De/nNmfX v2R+BovA19aWQQ4i/4Bjj/qeH7YsbOlj+5bymc3xuW3uewdzqc/IhX/iu87s 68hY/Ep8Uck4xQfxRXz4s8jznV9rrId44zB3XuR83p7jS74/R3gO9dJHGv8k MjY+Fv+tZIx8qvbnkbnhJ/FfImO9ie53ich45P8r3vf/Wfws3hAZ+79iT2Sc /ybeJDLev8OWyDwxX/yPkrmlAZn1jPNp9nvipfJjfPg128/vA7yVJnofL/v+ uDtwbVxJ/B3gMXIv5/qSfWmI54F9T3otc490P2vn2AbupbLjKuulvqS2HOM2 MTLK8jf3fWLzFPvqJOt9we2a73nyYn2TPYe7YZ/UzFvYfvY11PvC9haewzlM 8Dlw1xvq/Daqp38vaT/Dxzp4f5zDNjrzdeoZGz3Uvj0Sp/uI3xNZp0wR3zhS 75biLeoZY1uJHxxZF24mPiMSC7cTX7+e8bGt+Ncla7oL1H9OZA03Ubx5JP5u rznflqzjfhW9HYlrC9WeFYlrC9Q+PxIr8ccPIn1yQ/HTIuu870VLR+79S/Yc iePfsO/I83lEfOfI2rorfhdZ3/wkahYZp8eI7xD5rrpOvHNkjfVtZOwRd4eJ rxm5r7mRMUO8/Bjp0/jzwsg4IUb+iIwB/P+LyFgijmr19HX8fCnxUk+sWll8 +XpizDuaOzsS48eLrx75Buslfme4FhPfP7Iu7iR+eWTt+Kb465F1Rjvx5SLf Ex+L7ovMVw+LrxKJbWtI5yr1zCPLiS9dTwy8SePXR9aGxb6E336E30XWge+r fWNkrfiGYxEcJCZGOi7eNxaCV1XM8I7AZyd4zTjHHb7d3L7OGwSfG2T9+Otg +/PrljPdeDraMqm7n3ccE4ujHFNjHWfkVfxmoGOhg+f87rh+1nGET4M3YE07 y7zCMf6c50/0HpmPrdjOb2wfit8RWQOP817IJ/Bhbh9OHES+RdYjHiPPZio5 tWTc17n3etYYrcS/K/nW2UL9m0TmmR3UP7+knJ3U/qHkm2ZntX8s+d56R3R0 5JviXbWvinw7vKf2tZFvBHIq+aT6XRLO74vE6nD38f/Je0e+A8e7n/j6QPy2 yDp/R/EN6omLrcVbOaYuFX+r5JuWdc947ST1T46sy8GNH4wda0T6Pb5A/jjP OWT5sE+rfS54VPI9CG8T2W4rvlPk+/IEYiISh8k9rZ1/QnyleuJmUXvZetZ1 TdVuWs+6EXxbZIwDuxYYv2riS9azzrxE7Ysj33xnIzPyPXshdxv5juRu9/T9 rlpP3egl5lZz3C1TT7nIjHragQ3EYjPHIznseOcx8tyqznXraXzbyPpibbW3 jqyDzoyMeeIdfznQPnMG9x/5Hn6R3Bn5vgKHv4nE4uaS0zKy3jpO/NjIt/rK kftkj8siLzKmyJfXOGd2ifQt/OrqSJ/D38glNzifgDP3RmINeetK564O4itE vneviPRd/LZnZFwRU+BV90jM6h2Zj8hFt0TmI3JRt0i/xCfJl3c5Z5L7b43M /yvU8+6596HiwyLfn4PFB4X/nkK8vX34BfExkX/vsIz4upE5h5g4wnEBnhwQ mR8eE3888m32gPiDke/eAeJPRP4dR1/xhyL//mK4+NORf2cxQnxk5Bv4efHR ke/bUeLPRv7dxEDxpyLfw/3E+0e+98CQFY0j+0TW4tThu0fW+tT54MMbkRgx JxJ3wdyW1A+RuA/WgeXg3cxIPAaL91N7k3rizvqReefP39EisRwcB0uJf85t g8h8RC7aNfKNwftiXCRm48PT1d408p2M/im2YXPN3ayev7G1iKwbqBkuUvu1 yHwPNu4SmSvAzLcicRNcrRtbqVmOiqxbDoqsY2gTB1vXMxbOwoZ6xuwW4lvW XRuq/+XIv2dZKzIXk4fJ3+Rfcu//AV19+Ow= "]], Polygon[CompressedData[" 1:eJwtlnkQllMUxj/57nkl7UpatEr7Sk2k0h6lpIQkrYo2ZJQkCcnWZEtTUdpL GxHJmm0sI8YyZCxDtEx72hR+zzzfH8+8v3Pfe+9777nnnPtWHzy295giuVxu Icqj1ZHLrUejUy5XFr0Nb0bl4dvRdvhP9CB8kAHr4L/gC5PH7EF30taX50O8 Xw6/hG7FLoPegDeicvA4tAO9HuaL0Mvwa2gsfDY6P8vlPsVuBa9AA+FLJLgb 6gp/he6B16Bf4J/Rfr49TXPAS1BTuDTaCe8Ir3069h9oAfbNPJughfALqFRy 2yC4HboUvgJ1huuzptXwKeYYjN0etcHujt6Bd/Fsie5Aa8M+lS9Hod5wMbQ1 7zlXyZ88myf7qDb2l/oGXBdtgnfybIFuS+67JjyXxlwb3oPW3gm9GvapfCkf voi9nWczNAJtw/4JTU320U3aG2qNfXny3heF+8oHLeHrwnP3To6Fd8N7U0yM F6M+yWd+DD6K/mbux9UHvgF1hiegD+DdPCsoTuR/7N/Rgbxjqhz8EboLnkzb DPgRNFDr15zwY2EeRFsXxQbnsRmuh57DnoOGyZ/0KQVPRP3kK/QkPAuN5N0Q 7C/gz1AVeCJ6Ap4Znlt9foV/C8eS1vgU/HR47C3Y8+C54W8NTz7797HHF2Jg NvxsuK/WpNh/M3yWyoFp8P1oOO8HYB+HT4R9d4S22uzt8/DaVqI62B2x28I9 0cVwM9o2Ju+hLXYL7E1wLXRIsY4OM9ejybn6CvaYQs6+B38YPotzUCu4CeM3 wBXRYZ1leKzOdEM4R5WbmmM+/Hx476N4fy88Wf6H+9M2Bb4vzNrjKfhkeG8z k89aMaLY0Jk/DE9XPuZ95v/C/4X7HqWtCGs7LTPPou0B1aKw7zSmJ1wJVcW+ LPnsSyuGk2NgGbw4XAtGak/JOazcraOYgWuhHnAvdDA5R5QbNVEZnV04F0om 5+Zb4dqoHFUsHinUBsVkI+0FXQk3lD8LNUW1pDYaAg8tnOeevH2vGqraqTMY y7tx6Cp4L22d9K3w2WtMQ/o3yFwrVJNKKHdQIzH6BP44nEvK0cr0bYK9ULku n8oPhflUc87jfQ/s9cl9aoZ90qsQb+fyviH2fHhucqwd4rkl75grjl0CPQOf oK08XA79A8+h7cZwTCuWu6LScKnMfWcn1/oK4dhTzZ8AlwzvpbH8T9+ymftq zgwOdEy5SdsZcNHMfJy2s+BimVlrUq7sU53IO2eqYjdj/iXwIlQduzn20uS2 ScontCw5hvrDNemzPLmmDVC8ZL6buiiH4AqZ93qSb9SAR4RzQ3Psg/ejGck5 eSD5TtNdVh0NC99pussUg3XgrWhS8h33Hfw9mqK5GL8X3oMO5T3nmYqVcKzq TNro7FD75Bq/Dd0droVDNb6wB629MvoR/iE8t+6I6+Gy4VjXHaq5KofXqjl3 wbvDd6nW0AeuEc6ljsm+WhrONfnsao0Nx36H5Ltphepj8h3VIdxH73Snrgz/ Q+jfQX2qwtXCtU136Bh4dDh3lCN1M69B316FGoRjVrE6Lzm2q2EvTo7xvtjF VWMY3w77a+UmWgtPRt3hKvRfAK9DlTK3iZUD+wsxrVhWzdHYipm/pTlOh/OZ a5VidEu45qrW6o74Fv4mnNs606bhmFQsao2NwzmrXNUaLoDrZd6b8l+xUTe8 VsXINXC/cK6oBteD64fvRu2xqGpR+KyVA63DNVO1Uv9UjZm7W9gXqln/A75w OzI= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[{55, 1, 5, 9, 13, 17, 21, 25, 29, 33, 37, 41, 45, 49, 243, 234, 235, 233, 237, 236, 137, 239, 240, 238, 242, 241, 138, 245, 246, 244, 248, 247, 139, 180, 249, 250, 232, 165, 230, 164, 231, 178, 229, 163, 227, 162, 228, 177, 226, 161, 224, 160, 225, 176, 223, 159, 221, 158, 222, 175, 220, 157, 218, 156, 219, 174, 217, 155, 215, 154, 216, 173, 214, 153, 212, 152, 213, 172, 211, 151, 209, 150, 210, 171, 208, 149, 206, 148, 207, 170, 205, 147, 203, 146, 204, 169, 202, 145, 200, 144, 201, 168, 199, 143, 197, 142, 198, 167, 179, 141, 166, 140, 252, 251, 136, 195, 196, 192, 194, 193, 135, 189, 190, 186, 188, 187, 134, 184, 185, 181, 183, 182, 191, 65, 55}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{254, 253, 257, 475, 466, 467, 465, 469, 468, 424, 471, 472, 470, 474, 473, 425, 477, 478, 476, 480, 479, 426, 461, 573, 456, 464, 444, 462, 443, 463, 423, 256, 255, 254}], Line[CompressedData[" 1:eJwl0lkzlnEcx+H7UZFkSYlE2aVUZEnpsMguvAIHDhzovfQ2LBWtZsiSGvIm rNkjsiR0PePgms9/vke/uefObH/Z0hUKguAVOR5X6GCQBxFBUMJ9iinis/2u 3uM2hdzhk/2WFpBLPnl8tGdrDhlkkckH+w29yXXSSeO9/ZqmcpUUknkXvk2T uMRlEhmwx2sCF4kjln77BY0himjO89Z+TiOJ4CxneBP+CBriyPuEY15zyD/2 +csBfeyyxzZ/2KGXLX6zwSa/6GGZFRZZ4ifdzDHPDEPMMswCk6zxhVVGWGeK MreOaqmOabn+0Aod14f6VR/ptFbqhD7Wb/pEv2snz6iimufUUEsd9TTQSBPN vKCFVtp4Gr4jdPoP/Qch40Rf "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWUlVUYgOGfoVNAOh0klO4SGcIBJKU7pLvLG0BJA6S9kFo0wlqkwAWN kgqodHd3Nz57cfHMu/eeM2dm/9+sE9uxX6O+CaIoyuFLXEwUVWY9BRNG0Wbq sYn6bGEE8YmiaKWW5Do3uMI1rlKCS1zmPBe5QHHOco5TnOE0xTjBSY5ynGMU 5TBH+If/+JciHOQQf3GAvynMbvbwB7v4k0JsZwdbacg2GrGTUeyjMXtpwn6+ I727NtN02lw/1NGaUVtoBm2pmXSMZtc2mk3bag4dpx9pB82tX2usjtePtaPm 0U6aV7/XT7WrfqLdtKD+EO6o3cOdtEd4FjoxPEPtFZ6Z9g7PWieHGWnfMBPt p6V0qpbRgVpaB2lZnaHldaiW02G6kQrW3+gqVrOGFdRxPlNr6y9aV+fpcJpZ V9flTKOV/XSdG17PYIYwgCk09f1q+iVz6B/m4Kyq/sYkWtr/rLPpE+ZlX0WX 8SMt7H/SWfQM87WP06Xhfa3zU4B8dHE2IfwvWFfWWvxKZ75y9rkuoaZ1LXLR 3j6nttOxNLCupBtYz+9kdZaFz8LPhnuT2b61LmYRNewf6EPuhbtzn29ZGH4/ a8P7s46RLGB+mB+3uM1N7nInzJHHPOERz3ga5swLXvKc17wK8+Yt73hDAn9T RDnrhJqIGJKQmPLOk2lykpKSFFRwnlrTkIq0fEBF5/V8jsTzBdWpRlWqxLz/ rPkf7ZeH5w== "]], Line[{691, 654, 786, 656, 729, 893, 942, 941, 1102, 921, 1101, 922, 929, 844, 891, 892, 890, 920, 1111, 838, 843, 954, 955, 953, 1116, 1115, 837, 1090, 1091, 1087, 1089, 1088, 836, 1085, 1086, 1082, 1084, 1083, 1092, 780, 691}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{1118, 1117, 1326, 1498, 1655, 1550, 1654, 1551, 1656, 1588, 1850, 1589, 1623, 1622, 1500, 1661, 1662, 1660, 1664, 1663, 1501, 1666, 1667, 1665, 1669, 1668, 1502, 1671, 1672, 1670, 1674, 1673, 1503, 1676, 1677, 1675, 1679, 1678, 1504, 1681, 1682, 1680, 1684, 1683, 1505, 1686, 1687, 1685, 1689, 1688, 1506, 1691, 1692, 1690, 1694, 1693, 1507, 1640, 1826, 1590, 1659, 1553, 1657, 1552, 1658, 1499, 1124, 1123, 1122, 1121, 1120, 1119, 1118}], Line[CompressedData[" 1:eJwl1FlUllUUBuAPgh9ByAJUUKhIikIcoBQR0cpKrWygXKsyU6l0NYkW3XXb bbdeGg44UGkTzlYOzUVOaSlmJSqClZjNVs9eXTz/u88+55vP+suamhsXpSVJ 0uDnxYwkaaEoM0l62Z1Kkj28zy52ckb/Xfke29jBdnr0t8itbGQzmzit/47s 4E3e5i1O6W+Qb/Aa63mdk/rt8lXWsI61dOsvlytYRiuvcEL/QfkQtSwhn6co 4GEmsIpCVrKaNkZkJcls+QhD+IDBDKDPeT+UH/E8LbzAWf2xjqtTD+VjiviE a/TLmaP+0bpqdbH6brL5Sa9Gb6J6GJ/yOZ9xrf6j8mdrblAPV9/DJOqN6+Vc zpm/0bhEfS+TY41xg5xHv/lxxqXq+8jhvN54vSnqK7iKKxlIIzfTYP4mOZ9f rK81LlPfz9S4jvEtsokL5icYX61+gOvVlVRwq/F18kn5m3Wd8Wx8Ee+HKnOj GMntxrn8al2d8TR1BSOpJI9Z3MFo8zPkGLlALoweoxybToocBpJLHm3xLq0p c0xNPLOsjueXM+NdyLGyRI6RpfIuOTzuURbLqvhW8k65L56VL+MZ2ct0nqCc p2NP8Ry38TiP8bv7eFYu4hkW08wf+gfkQfZziK/4U/9r+Q2HOcoR/tI/Jr+l i+84zt/6P8gTfM9Jurmof1r2cIpezvCP/tnYo7HPY8/F3uRf/f7YL7HP4jvH XiCJbxnPEd8q7i/unbS4dlwn7i2Oj3OTHnPeWToJGVwS9FMyi0yyGRDzsRdl LjlcSl6s0b9MXs4gCsgnpT9YDqGQIobGeeN+/H/10UUnO+mgnVaW8jIvZfz/ f/cfMRudDg== "]]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 1.0499999999999998` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 1.0499999999999998` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdQVte2wLGj0VhjoihKxI4lFixRjhq7aFRihaixBY1iDcZoYkGwN7Ci MViwiyD29lkREZUqSFGkSeej2ZXnm/l+68wc3h2uNzdv3pvrX9/8Zu111l7f 2XvttfdZ55iNnzF0UkkjI6PO5YyM/vt38YJ3LU2do3U/XHfSfd/FW+l52SHc e1iocOWSl5+7WPsJjzT9tZrP6QPC6I/uExt9pfs10YfRh9GH0S997EXE0EmB og+jD6MPoz+ifIWps3uGij6MPow+jL7Fxc/tvx4eKfow+jD6MPolZjScXNo+ VvRh9GH0YfTTN9Q6kdzliejD6MPow+gPm1r/qzs3E0QfRh9GH0Zf901j7+OD kkUfRh9GH0a/ad2WrTZFpIg+jD6MPoy+27N2Xr+MSxd9GH0YfRj9t/e/bvF9 aqbow+jD6MPon/zO7EH9TnrRh9GH0Yfjd1ou/XF6hO6R4+5KrSZsU6x1A4fk L7gnzPVhz5V2Xdp2viiMPRh7MPbgheun/jZq7FrdF2YZS5sO2698tcY9ssf8 hzoLr8PDLGbOVNyOhTRf80O4cMG9CovC+wULe8U57+s6MUBYxr+BZzV41j+o 3TVh+8DA+JsVTgrT/wpN/7yQPfa89A+mf5aOGy81GnRK+HH00XNnZ+lEv9Wr tIcrbW6JPkz7G/UTR3sG3BB2D80Z6RBzW/QzWpVKX3shSPRh2ju4FA7vkHVP eM9Ol2ZGRiGify2+Surwu+GiD9O+ouPaQ4krwoTnfbupye2qEaK/ZbPp03qP o0Qfpv2TJjsOHHN/KGxdck8j1wYxoj+tr0VSiv6x6MO0Px190NPx6CPhDVEj XI+5x4m+x9udOSOXxIs+TPvefaKD6z1+IvzKd0xV1wYJ6v2L2Duza4Uk9f4Z mPbe9eMHl7ZPFJ64dtIGx6NJoj/X+3C2mdtT0YdpX/tVyv0UfbLwvcnTKtu2 T1HH/0ofh7J10tTxbWDaLwvNHnR3fqpwx25z1imX00S/74SzmWn7MkQfpn3W 0Wd3fUqqvKfWr5XM+2SK/okuumn3W2SLPkz7kS5vrbeszhKulLd4jXFQtsx3 2sPEA+bjk1YlJ3ddpZf5CBMf0IfRZ77SnvkKM19h/EGf+Yuc+QvjD+s3zHoM s77CrJcw6x/MegazPsGsNzDrB8x6ABPfYeK12DfEI+Kn33JdxiLrJCviJ8z9 hWmfsMPCJDpQje8w7e/V6nZ2s+37/+uqy/VfukVYVV4WeSJr6irhqGHp4+b4 7xYOi954b8mmM8LdHI8e/L75JeFNNhMTQjJvCgd4zArqds5feFeMbsYJ4yDh zk69J09xCBaeu/7u9AW1w4WrWH43sc3iB8J9e0T/1NMiSjgx5YfxrzdGC5sW pEypZPVYOPZuh9bxQ+KEX9q8bpveOF64zwGr435RKk9oUdL3vneisM/iXi2P TEgSvlu2fJuTnZ4Km4y2PrY+Q+UOcZV9tl1LFXZua2Mx9+c04d3narb+bUCG cHbF0UdGvlP5E7e6x38IyxIelTyuWdfl2crEm0Nm9rkTofP/0/150Pv7N26u yabllVUeWmVZi5Md7gv3dvj853ZX7gozn2Cv5rfzT/hcEt6ZO6W268Tzuuwy 5q0sbuuVdpsWlJ5fN+myrMeG/sh8MrDMJwPLfDKwzCcDy3wysMwnA8t8MrDM JwPLfDKwzCcDy3wysMwn+pORse/xk8OK3Wz/CXm39+qU2HqV3azV/Ib5M6ji xbQpCQ91rW+t7qsb5mFVo+J8P5PKKju28Kk16XmYsHeL/K6+d8KFiXdcr9q3 Fhvf+AaLPHJQ6jSvx0HCs+N6LM5ef1s4Lc7ff3XHO8LcP5h4yPWPNug0w7T8 dZFbNvBttHTcVeGsO73dm44/IRwfOLT5eN9TwtxvyW8M/9e2KhuP3innq/7/ HsOTysdckfEh+YxBXpA5IWTegevCU8rOfrKjMEDaS/5ikP9ps+he+Tt3hSuc 9svasjFE2ku+YpDvsxuYNPC5Op4e2YdljN0bIe0lPzHIf61sm1Cz/EPhkybx aU1OxUh7yUcM8kHX7J88rv1IuNfTefm/JMRJe8k/DPKNnS/M+G6LOl6PX/l9 zvfTEqS95BsG+evq17I61lPjSy1359zuBUnSXvILg3xSpv/0ugfV8e40Z82s Rr+nqPOTfMIgv+93P6PEV2r8ybR201coly7tJX8wyDt5PPgp+Zw6X0Y0cp+R vT5T2ku+YJDvnR+bFtAjSynjnDo/0HGyrkKLvKWzyqjzh/Xl3dCEblaN1Xjj l7zy+gbfUGHmB+2vbbZ5GvQ8ROQ1bPJDexvfEma8076Cz3KTWxtuqvHrUMnT B5r46laEGpu8c9Ur9eeVums7/w/JF1hPVw14dcC1jl7x6Hc3ru7QzTL+z6zu 3Gle7cVF5luv0NTWaUPO6lhPYdZTmPUUlnhbLzD+i+YbRB9GH0Yf9ksqEWsX f1KZcnXfZ26/5Sh20z3MygcFCKfljU2btTVcuJFP9jeP/WKFvzqjG9Todbzw /c3LX8dUeyo8fe63B92apQt/YvP5sP49soXDt2UvNjqWI2y+wiYi+mye8Jx5 Z1qcuVEgfG2yyTLXoOfCVYcvipoe81J4XK+E1v1SXgsfb9dnuXn+W+HCBkdi CwsLhfHftGWTYWWu5Yr/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D +A/jf6j7kU3zyuaL/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP 4/+Kcq3CUvsXiP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+M/jP8w/sP4D+O/ 1dwT1e3WPxP/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R/Gfxj/YfyH8R9ud2zl AeNPXZVPP0koGBX9Pp57V/Hf4XFNGPmNeZPbB9bLVaw/29b1wqJgka8Iaby1 yfGHwvG3bF/0z44TXry/gWeJcknCps7pQ86apgpfnOD7zsEyU7jF7kvh1Q7o hRduMLPIOpErHLjIeenty/nCtWekRu4LeCY8dczAVosfvBA+O9DH2Tb+lbBx 189iLLPeCI+wmN+m2qt3wvw/Wv9/SUydazUxT7jlkOknvQ/mCydc0ud9mVkg zP/L+NJeT7veIGe8wYw3mPEGM95gxhvMeIMZbzDjDWa8wYw3mPEGM95gxpvW X+ItTPyBmY/kHx2id07xtjsq6zVMfjGzfkwbs26+wut+XjLdtNMeHfkR7WHW e/Ih5DBy7MNy/qY570BO/qbNX/7Z8wPGB/kW4wFmPMCMB5jxADMeYMYDzHiA GQ8w4wFmPEj+aBgPMOMBZjzAjAeY+QWT74acjzbze+mtgwO7LV0fdnO/bnT7 LivLZWxVyD+Rxz/2DatinKPUHhuVHp14VeSNSvTZZ2t3vUh7/Z7Nwz/LyxHe Yt2hhpN1rhKQsfDbaLNgaX+vq2/zHbEqlz1c8VDfIQ+FK7zu4WxcKUp4d9tB JWyvxAk3sJuS3dn0ibBSraZX1chE4audv9qZ0z5JOFYfO9o/O0V4bK2XfQ8O TBVecN+z3KJymcJvn18pGDNJ5YoRllHu6/XCg37qGbzqssp2fu6tHXfkCu8c fbDx5ACVj5565zLkQL5wRr+Kv3d/oPKrfeNjLXyfCXfuNDOsTrzK/Tf5tTXW vRBe1SSs2YtMlbc5NVuVEPBKOPLzjktCX6qcMntd3OUHb4SblNsZ4VXmrbDl +FxL9/h3wr88K2yxqmphkfu7v3KtLcs75AlbnztvU7BB5dELd4a/XJAvbNTI yu3HcJWrpNb7bNqVAuHTrldDHtZ6Jkw8hyU+sP82xHM5HzPEO5h4BxPvtPsj 4onEO0P7T11ivlnockp413cltgaN3KH7jz9PYf01xBP+P9Yf7fkT/59L09yT EZP0Su8oj90+t/bJ/vbiN5vNY6f6FhlfWzJCLWMG50h+hL2g5Q6bY0adlvbD 60zt1a9GgDD9IX/iel22/Jzf77A6XqxHjXActFnNr7j++MsP3vqvviPXs7/T 883GTuHC5F+0n1ZnQeSQAlW+b0XYsEL7WGHyM9offFihjc78kcj1X54YYRkY L0z+RvvZA+72qtksQeTrSvxaOjMhWZj8jvZVmm3ODez+VOQWcd199r5OEyb/ o72X8fd/Oo1KF3nA5fJjRlfPFiY/pL31U3PrzrNU+cl79s4rNueo98+QP9L+ 2XjHhb/cUOWlLwdGT9idJ0x+SfueQ6NCbIJU+dBjrdsoxwqEyT9pv6m7VdNW Map8z85NK2qfey5Mfkr7+NZ7FlVIUeX61S8eFdx4KUz+Svs29cs+SMpT5d0W 2LUPDnotTH5L+8WVp1pcLVTl66ZeWX00Ro2v5L8ynt/dXbrzEzXePhplHr88 pbDIeCYflvW15Mu2F7PU8W3kF3XqysM8aU++LPF6xsI5LduqfLrNmII2pgXS nnwauV1M4QmPeSpP/fNJO8/xzyQfIx6Qz5CPkc/A5DMw+QxMPgOTz8DkMzD5 DIx91gfsw9iHsQ9jH8Y+jH0Y+9rzLJ4fkE/C5JMw+SRMPgmTT8LkkzD5JIx9 nldgH8Y+jH0Y+zD2YezD2Iexz/MR7MPYh7EPYx/GPox9GPsw9nkeg30Y+zD2 YezD2IexD2OP5z3Yg7EHYw/GHow9GHsw9niehD0YezD2YOzB2IO5Ps+nuD7M 9WGuD3N9mOvDXJ/nXVwf5vow14e5Psz1eF7G9WCuB3M9GH2er6EPow/Tnudv tIeRa+uRyE/Zn8LIyVdZX3keSX4Fk/9o5TzPIn9BTn4Ck39IPZMhv4DJH2Dy A5j5prXP8zGY518wz7e4HnIYOe15vgXz/Ir+IWd+aNvz/Er+H8PzKfzVynke xf9De/n/Dc+f+D9pz3iCac/zJ7kfBn3GE0x7nj9xf9Fnf0E+zf5AzvcM40fO /wztyXcZbzDjU3v/tOsVcumvgfEXZj7CzHeY+wMzvrGHfdYPmHgOE28ZLzBy 4iNMPGO8wMiJRzDxBCY+wMx/7j+MnPnP/YaRa+sZtfeTeDDRNumQXZcshfo2 v4V133qapynUm0VcXZ1Z6kK0Qv3VjtJv3LasDlWopxrlaW5Ux/x9nm+op/nZ w8b9fMhjhfqtTgnXuw3cG6FQj0V90padzp7H7+Uo1Yckln086ZBCvRTjBeb+ cX3ye/bL5F9wiT+GHynfLEfhfJDzOPynHqpL8nVnR4schfacL9If7JXau9Ey oOol4cvrIucOPesn/GqA/T3d03vC/D8w/sP8n9r/C16lW7u3Y8ET4UivnJfV SyQKN9k1bHB2xWRhx7Xn9gd8kSLM/YNrTFtis6R1hjD3W/t/kk8y3onvxF+Y +019Jkx9Jvsp7gfM9dk/IYeRs19CDiNnf4QcRs5+CDmMnP0PcljrP+sL/sP4 S30p8Z31gngEc3+ox4Spx2T8sZ/g+tr8lvjMeKQeEWa+E8+RE6+Jx9QX5gzt czNlpsrkA8Rz5PwfxEfGD/Wx+E98Y3xSP8r6xvoHE/8Y79SLSr5hWK9g4hvz j/pM4i3rOfEfZvxTf8v6QX+YX9S3Em9Zj1l/YOYr9azMH+7fwU0rhj9vlSvx pPG+5f617+uL7Nc4D2P9g1n/YOzD9B9mvMH4DzN+YeIl3HRroNGE4+r6yP4V OftXmP0rzP4VZv8Ks3+F2b9q+7f4XdzxahvvK8a37s4r1TFL1tsNy53qnjBJ K7J/CEw2avxyo5r/D6+3vnuZyETlRmzikGENo2S9HLTyt0/1u4KL5M9ZQU39 7dZkKMXVc/7+2bUdk9fdlvXySZlmuSOcshTLqIUeGSNClG0Htt51X5ym1Ozt dW3+5hjFPfnHPxblRCuTM0Z169w7RSkZPfCQqVeoUrfhT9Vy/NOURNu+swoO 39LVtiiTMmt8juJ1XdetZYBeGekb/NP8Gsd1y8Y98v79ll7pm/ypS7Uxbn+5 fnTV3t3DYtbrlV8WbL2QMv+c4lrjUtvyy/VKWo+bLlP+uFBsfWnpWZtdrTvr lejU1KpbO6ryf7Xe9PS+lW5L3mVJPl79VLk1U2dnKm+m9FIqOKnt/9V6VMZ/ zZy2w53MoxW9ScBbl35qvh74XTvLsJwUpdmelUEDzz1WBuSU6TO9V4oSO2/Q FuNFf72etW8dy6+6vlTz/eLqW+Nm2G2JOh2vxptTHt9Vynis9H8ePPTKC7U+ 7R/VvxIfxnwS2Sba66niOGCHbV+TR7I/SCkdeG1ETISifNKrz7zVqv4/qpcl /qQ1tfp+f6c05eKC6tltX6v7h+Lqaav02n7odZ0AWa8GPF66OnjbYdlv/Lvr bSvs6dVjl3uQLvmrhqFBqep+16N2hd2b2ucqJ32iX/6xOkTWvyYz1vYfeUEv 8Zr8kvNEbT0u8pTTJ236vztRpD7XwauqzxA7db3+0HrdJpZOPj2/z5D9BOtt pZ9NF5ZorNZnF9lfpIQEeo5Xx/8/qu9tUqrKr59PSpT1lvX6/A+p/t/0Llr/ O/G1fmH59+szzHo91Oax2fL/oT6Y9bJilS9cLd4UrRdmf2K665DSakrR+uEH jSN+7brpSpH8JdL0RGDkvkzZr9gnn3Jcdj1HWbrYxanAKbJIvmI14Ulm2L5c ZeKdIW1vX9crbX6dFtQnfKdSsuYf60d665VWNT+9/ezKceVImZoLnSOzlNwn 9ms3WgUr0dtPdSmxMUlxs+gYEPQgXgnu1PCTc4lPlFvze52x2pOkXP7ixOye Jn5K5owRl0JaZioHp9a6ttUhXLewVpvjCQ65ytCStba1MwnXLVvy8/rSk99z r51fu5ZXx9O4MsdueFqpfG71nTkXXbOVVY0XltllcVc5ZR3pu7ogXVnRtvJM zyEPlbdm9qZGM9KVDfVvrRuzKkpRhkTp/AY8VZobe9g2GvdEWetaZ8X66wnK havW+9O6JyrHtzQcvjszTlnx6JX1mW+TFa/ty0deCb6nnH+dHtWvMF0JLDh1 Mq5XkNLOc8eBQ1fTlS6uncJOzzuvlLBxnlhmZJbyYNjc/j8MjtL1D51TITQn V30fcHv2lcNV8xTjt49muPXMkf4vu5MWeGCBj7LGtIV+cpq6XyvR+XANB98s Jaqxex0nmzOyf6tve8TjxR11/xY+vqub2031vOmbn72NXd7LyccjG+0Oin0/ r7vPeXPw6IxDOpdLnycNeJ8/vc57Omj2pC26ljOWtXIYoZ7ffPNZvabVBmYq Lqb3+v6Qqp7nPPAcUu2Hc9mynqeed394bVCO8ue2ke1vRFyU/aB72fmHv7yk V5bdqNt+wLwzOvTJT7T1+mWG6rd+fuao/B9mgyN/3l9jf5H4QT0845nrrdrz SVaLKRfU9ns/XzT5/GXhV+tMtnusuSW8dN3mwaUTbyr/aj058w/7lwc0PDyr +j25nqX1kdxKF+8Ln11Wd/+lglDh35dFLZlhpjLznevVmbCnZaNOESIfPiFp 6NxKkcL53Y8VNmsYI3y++9TomMHRwsQXqZep32aFm/1jkffb0PnBTNM44e2L dllYN4sXXlC4sHbDK0+EiW9c73ZW3EyjwASRP3Uo6dTYMlG4w5jJD0v2SBau 9ajnreiIJGHiLdf78e7BumcSnorceWBAq0cDU4TDu7R0OTcqTfjMxYpzXbNT hYnvXK/M0ZkB01+ni7yBhWvMpkkZwnNMnrWZOStLeNiOsPr9yqnM/oPrebQz cp3+Wa7IvfOrmCzpr/LIjB5+DoPzhPtatOlqa6Lyrcae+SPW6GW/vyJk6eAo e73y7f5SA+dVuir7e+zpG0xM6WuWL/pGiXNn2Q1X+WD0/jr97QqEt5lscbNs rDL7f65nVd3fyrzFM5EPCo281WG8ys8CKsxpaP9cOLnCq9SqbVXmvIDrrStp sbmw4wuR77rWxbS6g8q9zzvcNpr7Up0Pr77vlmmlMucLXC8mZ316VM9XIs/w 8ZibNV/lTYdC6sUseq3Gy9SrW/z7q8x5BNezeJLX/fTgNyLvsrv0ndvOKidu s3Q8s/qtcFhkw8y9w1Xm/ILrLQwasW2j3TuRr9pgb+a5UeU2K9wDXbcWCpv7 r/xm0XiVP/T9E+VRxqZx9fRyPrLlVe992/vole2ezx0Ca99QnIJ7bv42Mlu5 NO7Mi8M5AcovibXWPS+tV/ZX61rKrMftv/39lZYrZr31yshU7GwX2LdpFPa3 v8/y6vDod3fCUuT8Z3qdXf5/mKUow66W15l7fHzfRfu+y82SDevZRXkoVo4D F9guyP7b33eZUe6bDmuOqM9vX2Zm5R+boz4v5Hyu2YExn3c6GKfcmKpzPeZ9 VXGvPjzS8oZ63vaTzvM7pUWWsmb0oa8aTrop5233+to2OhEbofsyOmjYHm/1 fK3h2Bd5G6JzlU+Xv3BwXhIu52sbfvdptc5Lr5wdUC56iYu3ktDEeHPfKu/z wxdf7tj5W5AS1aLN2iYXU5UXa6u5Gjd/pHRac7layMxkZZbL1qg3deKVev2f m7d+n7e22m1sNiovUWk00iXfKu2hsr3m3nFxqSnKd3+MPfvtumDlVucOzm8m pisVQ/PLeywIUJ7/uLL6w60ZSu3d1b5eNi1Qd6W623D7/TnKajtz58lW6Yq+ 8bGKXs+jlN7eMy/Vyo1Vdq+ZkrzM46kS4/xpobV/uKI7v3xp4+Zpys5qc572 8sxQBvmZb522J0LZ3bvZuc1HE5WS6bfPBqxNUPb+sL9zs/fr+4oBpabseL9/ 0L5fRP7IfozzGZj9KMx+F+b8B+Z8COY8AOa8CcY+53PYh7EPYx/GPox9GPsw 9mHO47TnbzDnbzDnbzDnbzDnbzDnbzDnbzD22b9iH8Y+jH0Y+zD2YezD2Iex z3zEPox9GPsw9mHsw9iHsa+t52B/Tn9g+gPTH5j+wPQHpj8w/YHpD0x/OA+g PzD9gekPTH9g+gPTH5j+wPRHWw/C+QP9g+kfTP9g+gfTP5j+wfQPpn8w/YPp H/Gb/sH0D6Z/MP2D6R9M/2D6B9M/mP5p61E4f6G/MP2F6S9Mf2H6C9NfmP7C 9BemvzD91da7cP5D/2H6D9N/mP7D9B+m/zD9h+k/TP9h+g/Tf229DedT+APj D4w/MP7A+APjD4w/MP7A+APjD4w/MP5o64E4T8M/GP9g/IPxD8Y/GP9g/IPx D8Y/GP9g/IPxD8Y/7fMYzv/wF8ZfGH9h/IXxF8ZfGH9h/IXxF8ZfGH9h/IXx F8ZfmHyD96fxH8Z/GP/l+zAG/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn/t 97B4nsb7Udp6Nc53aQ/THua8kvct0IfRh9GH0ef9DPRh9GH0YfR5XwR9GH0Y fe37mJx/8rxB3gcxnO9o65k4n+E8BjnnKTDnITDnGTDnETDnCTD3T2uf/T7M /p3xpq23Y7/NeZq2vo79MOMZ5jyP/S/jH+b8kP2u1B8a9rOcf7JfZb7BnM+y P2V+wry/oq2f4nkS91NbD0e9POND+z4p+w+Y/QD/p/b5lHa/wP1g/sLMX5j5 CzN/YeYvzPzV3m/ydZj8mftLvsj9lO8LGu4f+QX3i/Wa/5/4yP+h/T4e8516 Gb5fR70J9RvUk1CfQb0I+3Pqu/geF9/XYj9O/Q31LdSP8D02zgeob6F+hPoV 6sGoT+G8gOch2Ne+X0o9GucFA8qXTzKrro4fGP+lfsugr32fm/8P+9jj/4C5 nrY+EznzAeb+c/7GfIepD6Lehv4Qz2B5P9cwP+X9XAMjZz4jh5EznuT9XwMj Z/whh5EzXpHD2now5DBy6n24H4PXnC+R1D5P+IVTxtGQr/OFPRaYjrzSvUC4 95zBpbz6PBPOmrrUa8fA58Jbxp8ctdLmhbDV6OTS80a9FE4c8oX3xLGvhNf0 6287dNJr4XbdF5bt9tMb4ZiOXj4tZr0VdmodZ2cy751w8ybVjMv/VijMfOD7 idxfvm9IfNTGQ3n/zTA+qfeEmW/cb/menYEZv8wnxh/1lTDjAX0YfeovaU/9 Jcx4ke/xGRh96r1oT3yR7+kZxhP6MPrEB9oTr2DGG/ow+sQbmY+G+k6Y8Yg+ jL7EL0N77p92PqMPo8/918YLiV+G/ETOdw2MPvOD9swPmPwFfRh95g/tmT8w +Q76MPrML9ozv2DyI/Rh9Jl/tGf+weRT6MPoMz9pz/yEyb/Qh9Fn/tKe+QuT r6EPo8/8pj3zW/v9R/IT5q+872eYr6w/8H5dQGnbU3miz/t+6Mv7f4b2Ro5r zDeNUNnWYlDPuy/z1e9PGd7/Q1/eB+R7pvGVJ5bdqXKV7cFOipX6PiD5NOOV /IT5o62/Z/3HPvsPvn/Jesz15X1vA8v73gaW970NzP6A+UC+Tv4GM5+op2b+ yvMjw34OZv5TTyzv1xjyXXlfwsDEO+rviY/kv+w3YeIr+Qv7F+I59fPEc/rL eRzxhvcH6B/nGcRT3iegP5wHEK95v4B8m/EI8/9jj/+D6+Mv18Mf4hvnrYwX 1jP8Y33i+6eMB8aLjA/D/eU8nXjH/eT/o/9cn/mk/Z7Ix3rh/9v1wtyPgO4u d0f5ZhWpD5b49R/6fZd/d310cd+LKa5+urj6Z219c3H1yX+1vlhbH1xc/e+H 1vcWV79bXH1ucd/fcekUtunkwou6L4xDMv0i9crOp9lOvtfO/8N63I/f6/nP /l5PcfXY/9vf82G9le95aeo9i6sP19aDa+u/i6vn1tZvF1efXVw9trb+Wltv HbWuxLLzbkXrq/c0Wud8Y5/6/Wbt+Tz1str6a+33j4qrx/7Q7yP93fXb2nqj 4uq5i6v3/f9W713c944+tB68uO8ryfes+L4j39MzyD/0+0rF1ZPLebrGvvY8 E/m/vf78A7/npa0//3fXi3+s//5Y//2x/vtj/fc/W//9V+u5tfXWxdVDc54S 7Rdn+uCBXpk63sbJ2/OwrA8fv6f38Xt6H7+n9/d9T+9D6+HRj1s0+PmUiur3 nv881uKO9blspcbKGt2DF6+Q83XHuRaNN+iv6Z79umB5Zt0c5eDkY30uP1Dr KThvj/xj7MXG1XP+39XPa9+H/Kv19PK92SO255cVzNF9aH299n2F/wLE9Hm3 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlulv1VUQhqettZdCS6GF1oJtabG9lsIFlK2IigIKAlYUrVoQsQgohSJV qywiigv4ScB9F9y36F+gcYlL4hKNRqPRuEWj0Wg0Go36vp7nJvfDk985M2fm zJk5Z+4dt3rTso3FEfG1KBHHi1limjhRdIrpYrQYIUaKk8VsMVOUiWJs54t5 4jCxUfSJDlEuSsXhYihf2y0Up4qMGM4665eIxWIYa4vYw3tXiEpxhugSVcyH YF/N3P4GxCQxVdRib329GMWZxvC1/lzRLerEhWKVaBIN4gjsVogeMVa0oGsU rWKcaBYbRE5MEOvFOpEVa0SvGC/axVHYLRdniRrRho8WYj+atX347cBva8Ha I4ljkH2PIcZGztdJrUrIQS1nLiK/pdStjDWl5NI59V2YTv7z9SunbkOxGULO K6jbcHQV7DcC+zJ8VFKHvG409SjHtpLaVjPfLPrFZDEj0t0sKqhfPfVpIBej CmT15CGva6ZODeS4mZqPIS+rkDeyrpU6NZPv/Lyd2rRSj3ZqWEvc65C3octR z15kLdhbNpH96onD93YK8hz2EzjzNHJZTF1cr51iQaR3V0Mc1ehmIvfazgLZ bOT+HsfYuZ3DHn5fZ+LPdidhZ90s9rfNPHz66/efIZb56MvQZcit35Xv/1z2 moG/E4jR98Z3axjfhYyvFYvwswi5x8uI1X3Ad2UxY3+XMM7gy7EsRW6fu5h7 fB2+qoj9FOy89nTkzmkXOeli3xp0XexfS/7rqLXfvN/+TeJizn52pDdv2+uZ e9xEjhrRn4Mf3wnfUfec8yL1Kct3M69Ddj5rTA92fjfuBzn89rBPNzb5tSuQ 3yBWIrfsAuQrmY9lv27O2kLMPtdq6tvEuddydssuYo3vsd9GB/NefLQxzpKn NeizrLfe/c99cDI5Xk4sOXSW30gcjuGSSP03y34b2P9mdFn0l6J3//RvxST2 XI/c98P3yXfT9+40ZO+LA5Hu+5/iGXGl2CquIu+DjKfyHUTudZcj/1s8h90A 8inE4flEZAOsz+HH+p/Eo5zHa67A9ndRpIaxJeL/xvGSPseKYo1LxC0a/yte ENeIH8Qhcv+LeDzSb/gd4iPOfI/4LFJf+E08KS4j7/3EZd/7Ivnfg48O7HeR N++3nXjWUo8sddjD+k1iL759pm2cy/ttRn6X+CTS+9xbEIv1W/C/X7wYqcfd Jj6I9LZ9H/0mxzN3f8ngy72ginP6fdZwvu3Uzr52Rupvlu1A7rfi+9cU6S36 Lfm9+B37rdaxvp/Y+onVY9+Nq6nvY+Jn8nGf+AIfj4gfyZnreSu2r4lXI/13 e128EamfviXejPQ/7gnxK3k9KL4nB09FuivO16fi7kh98AHxFef4XNwbqU89 JL7lrF+K+yP1oG/Eg5H6RB/7uBYfizsj9dn3xLuR/j9+KG6P1MtfFq9E+j14 VvxFLp4Wf0Sq/9vinUi/Q8+Lf8j7d+LhSG/+P8NVygQ= "]], Polygon[CompressedData[" 1:eJwt1PdvTgEUxvHzNv4R/0KLGLVDgyIqCIKoqCDaIIhd3cNo7VV7771n7L33 3nsTtX1PzvPD583Nm/e+997nPOfWzMzJyE4ys3TUwAxcQQu0xAZ8xzCMwDRs QwNMxFb8wViMx3lcRnPUxSb8xEiMxkmcRRPUwUq8R38MwCxcRyu0xg7c0PEE LMRjdEU3LMYz9EBPzMNddEAGluIleiMTa/EVgzEER3ACjVAb23FVz56LM5iM +rrn1fiEQcjGHNxCW7RDFR6gEzpjKv4pm1o4jkmop2tewhTl6Zktxxv0RRZ2 4Z6eJR+78VD/XYA9eKIsCrEXz5VFEU4rc8+6MfbhlbIoxiF8Uxblmu10pOqe KvDDYvbJOKbMPKuGOIejOm6KA/igWZbiID4rqzLsx1s9WwkuWnTGu9JMWV/Q sWfuXZyJNItOejdmo41FRzz7uWivGXg3FqG7RUc861N6ds/cuzEfHS064rNa gC6amXdpCXpZdMq7swx9LDr0SJkX6pwXyrRY53i31mGoRcd8livQTzP9i0qk YBwSCf+Ibvg5vmvrMdxi53y3tui3vmO+SxsxymKnfmlGyfquGpsxRv/hu7UK Ay12bCduW3Q1z6LLa5Bj0WnvYlIidtvnf9hiJ3ItOnHfooMFyvCpReeKlPkd i87mayY3dc08zey1RQdKlOkXiw6W6x4+WnSmTPf8zqJTpcrwmsU7wd8Facry t8W7xTP9Dyb+rgA= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNVmdUVkcU/O5aECGSgBRF4KNrRIkoIRpFJWAXAxqjaSpqCiaaxBpNN58p pJz03nvvvffec9J77733mXPnncePOfv2vW937507c/cr7VjRvjwkEonBlkj0 wLgU4wagP7AYOADIBo4GegHpQAnQD8gCuoDeQF9gNyATGAQk9X1zYBOQAtKA Ur3bAhgKDAQKgSFAATAAqAByFEOlxlygSmMeUK0x3zz2fK0vBjZTfFtqP55R pjOZS5Hi5O+agBFAHbBcsdcAW+tsnlmrfZn3VhqTWpdUTnUaec42io9xNWgP zkfqezkwUXtxj2E6l3FN0Hn8NlzvePYYccScttVI/lYo3rHAOD1zv/Faz71G Kxaub9R3fttOcY8UH0WKYzWwUBy2AKOAemCSRnIzWSPzm6KReU/VyDNndotr Xz3PAFr1jrFMV27MaZbeMfa5OptntokXctaukXWbrZF5zNHYDOygkevnKVbG uKP243x7nTNBOVWo3s3igznvDExTjNR/H6CnuebpA/qBuqb26YH9gV3F5Spg gbnG1gId5rpfAywy98Y6c49Rl/MVI/mj55aYa/VQYJm5junL3c39cCCwh7kf DgL2NPfDwcBe5n44BOg098VO2pv5HAbsbe6L9eaez1HO5eKCcVN3RVozWnWK /Fates5UTZkb9Z9UPmWaZ2vPMuVA3UZeH6K9cnRmucXertJ8lMW+4VinOKYr LuqVeq5RrMM1Z+y1mke+rbXYqyOU/1DFFPmZv9tFtcy0uO9EfahSsXIvame8 8hhjsc84Rj2AY4PFvuXvIv9MUnzco1HrpqlOPKNe+TOmiTqvUuvrFVeD5syJ +m8ST82ac32L5pGHWyz26hTl3aQzIj9PFv/Zqg/92qp6kzfqp1D70VdzlQd9 NUuxtmke+bbNYt+26xzqPvLoPO0V+Xm2YuXe9DQ1Rh9RX/TPIr3LUv1KxB99 S72vVC0zBXqTuj7c/K6idtjjFmqPqVo3X79boO/U7TLlHfWXOYpjsTgiH/uI E+qEPs0V6NM8gT7NF+hT+uAI8z5OP200v4dq9K1T5zeK11adt0R1IR/rFAvn S3V+P/FRrFxXduNgVbf8Vuu35HKt+NzPvF/PEDdrxM8wxRHdM+MUcw/8gTjL vG99Dlwm3vPw/mHl8AHwDnAs48f788171dvA68AxwA/AqYrvG+AUcx+W4PdP iJe+eL5b/Kbh+U7lfBRwApABfAdcqVw/Az4CjhNn68XTL8C14qAA+1xo3mvv IwfB63Qb0DP4unO4d/AezFx7Bc/3DsXBGHpjPFtn3EOOg9f+IXFBHph3/+C5 n8e6Be/fvwGnqR4PMMbg+jiX9Qne7zODz/mcHjymDYrxduVneL7VXJf/AjdL I7yreIfx/tokvjLEO9/zPkvpW4be8RvvvCP1Pk053WueFzW7UVp4HhgcvAY/ AS+Ya+4k4H3zO/JE4C2dxfweNM+Rmuiy+B7tUrxd+pau+qUUG+tzv3mNUvrG tZcCrym334HrzfX7F3CjucbpY95/9DJr1Sd4vagt9gX2hE5pgb6jD+jPscqZ taKPs4LXL7p7Wc/I07x3C8RXSjmV4fdPibNKPD+jvf8BzjD3Hn3wpnh/FbhE 3N+iurKmrwAni4cvga+A44EqfH9ZsSbx/KLyucvcM/TLG8CHqmkh3l0kLsrx /JJq+bX25Z7U4x/mmrxBPJJD+vJ7c2/Sr7+ae/Zq4EfzfnOFuQ/pwcuBL8x7 wjXm3qPvBuHcx8175+nA3+a95mNz3bCm16mWrONN5pruEGf/ibd3zbVFndDr n0gT5OlTccX86Rv24+eA6uB9jpxVBOeN/ek9c809qzqxRuSmNDg/5PVncUuN f2uu8z+VA+O/gFoIroNHgAHBdVeM8WLzeyKB5zPNezd7z8AgzWF81Pz3T0s3 1MyT5n2QOuW6EHwt+b5KnD8mTslnbvA4GAPrXBS81v8Dy70rkA== "]], Polygon[CompressedData[" 1:eJwt0/svlmEYwPHnvR2S1xjLNMa8Y+kf8I/4mXLIIfS+CTmESo1mSn9EKmc5 VeQQQmF+KSYWNpKhMca0Wr7X7uuHz677ep77OV3X9XgyfSle4zhOMvxhSPpc jpOFcpyhE+koxQt8Qx3qcYDXSMMdRHH9ODEf9xFE/o6YjUqEk48Q81CNUPIP xFxU4T96kIkynKAd11GCv+hGBu5iB3t4hlRc4n5jxJuogZt8kJiDe4glnyIW 4iGiySeJBXiAVhyhGNfwBQnseUT04Tde6bNkzwpW0YCL2MImgvEU69hAox5b ww/dK8d6XVJ0W2v55p/Y1mvdmEE852uJXnzHstRVn9mFP1oL6VELDrVW0pOX 2NfeyDt34FR7KTXdxS89JzV8g39a+wztdTOeaM+fY1F7fwFzuML7PSbexifE GFtbqekwwozttfQ4ifW87i1CIvms1lbu4SH/rN8qNT9Gm/ZCajCKCGN7KzM0 jTjyW9rTj4g0dvZkBoYQYuxsyQxM4LKxvZYZvcr6q9a6CUtY0LV8cz/82FPh sv/Ee+mdsbMkM/0WgcbO9g0EsB7QtVxzDl3mcDo= "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHecVsUVXeY+BJFiSWJix+5SLYBSdinCLuCCFCkrK9IEsmFBEBdERSxo EESwo6iIgooRURNQiWgAxRp77BQLRVwQG1Y8J+fs7/OPs3fevJn7Zubec+7s 13Do2N4VKS8vb2ONvLyAvRZ/DgWWoHMdkA+cBHwKNAZOAbYBzYBWwOdAE6AF sAVoCrQE6sNHA2AC2puARsDJQF+gO3AGsB1oDpwKvAUsBi4H3gUeAK4ELgNO AzoArwILgUuBD4GrgenAa8B9wFTgfeBB4CrgDWARMA3oaD+tgR1AFVAMdAba Au2ALrYFQJFtIbAe+BhoD1zjtXQFurnd0Xui7eS90Z4OlNjyOz1s+Z2etkUe y3W1Af5u372A3r/7Th/b7vbXxut+B7gfuMI+pvndWV4Hv19qX/QxyDHg+1nA AGAwUOa+fkAdxG1voD/aM7wWjjvbPvp6XIn3dK7fDwSG+xv0d519jwBGAUOA obYDva6Rnl/9rtTfOc9z+W603w0DdgFf+Tu3Arck5djf/B3OG2NL3+cD5X5f 4T6uZa77xyXts4djUhf7jtA3vwduAyqB8fZB3zd63gXARLf5nQttOZa5Tw7w mzd7LP3sFZozCbgdmOd5c7z+cu/zbJ/jPcACYIrPYLTXTz6ST+QVOUhekp/k ILlITpKn5CI5Sa6Rr+QtOUSukA/kDXOGuUOukH/MH3KROcUcY36Ri+QGeUlu FXgcc5H5Sy5eksQR+iUXOthvJz/TV2fPIUfJ3cKU4x7fMWeZh8wxcq7IY+iL +d815fjWLeX4Vs2LEj9X860k5fjG5yq3i+yLvOiVchzrbV99/cx3zNUB9tXP 66Ov/n6+1u2eKacdXeyr1PP7OKal9j3Iz/RV5mdyrsw++T3m/mCPG+b409cQ v9snxNWZSRpLnc63r+Gew/nkwgjPGeln+hjl59KU4yW5NdpzOYc5X55yvOLz bPsv8/wKvwvnO/3WC3HphiSOMserOURLnpAL5AS5Qa6Mtx/yaaL7q3nF531d U25C+4Wk+nRiEocmecxDSTWD+fIz8FMSf+4G7gQuAnYncXs+8BRwVxK/yv09 fp85TI4wf+9Nqjnsu977Pycp/8mXto5LtWYzr8kHcuGRJA1lPP+RVD+Ydw8n aT3n/CtJU7hf5g/5VWhMtx9y801/j1js7z6epB1c+7+BpUn5mPmcGI9/Jund OL9nvjBf93gs87aGY8XYP5ak3Yz/iiT9qvQZLfAZ/idJf6m9Tybp5GTHap5j 8QzwhJ+pM68nac0qYLnzYnWSDnJerVBMKv2NO/3NNUk6OMWxvdexYEwWuj3B /sb7G4scn5eBlY7xVK+DMV2WVP8GO5aMKfOZmke9a+e+R5NyfZZjOcAxZJ51 8N64x0k+h7XAHT7XpT5n6uISx3Gtx/GsZjgPejkXmB9dvY/lPhOewVPe+1zH u9zxWeb1z3HMRjgOK3yG1GzqNXPqxSTOkC/7h9onJOXps17jc17fZMd21e/W strrYW5Su5mbT/t8ZvuM13id1JAarqHXe9xsx2ClxzBu/3VMuJ79QnxmLjzj c+UaX/E6P0p6f5LX+7zX/JJjTN/kxNuOIXObF1rGocrPPb32D1KOVx97LxuS 7nnsK3J/se16t3mW7/kM1nlNPM+vk+4lwx3nDfZDTf7Ea/4sqWazTm9Oqtkt 7Huj/TdxP+t4I8/P9zzOP9nvN9sP6/oWz/sO2Gk/7Ntq/6z32zz2y6R7AO/b X7ifd4Lm7udY5j3zpsDvOa6l97HJa9huX618rjzfM213uL3T7WKjyufKM2J+ sL4wR9j+q/t2ub3Ve+B3yef6/j+isc+CZ/Ooz53+mPPU88m2u92mVlH/qSU/ un++7Q8es9FnV+x3nF/ptXzj9dAHa8nFSTm1x3tMoT1wTOZ741i0f/V4fp8c YP8o9/1iP5yXrLl8n7l21nSbfviurnlEPWW9ZI2gTrJNzaG+8N7Qz+9ruabS 1raekkPfJvGotsdwLnXuf453mf1QC1kf6vj+T7uP+8M1fazH1nE/++q5nzXp CudRhWM3xudT0zWJ9YQ1j3u5Dn1T3d8Z9n7fZ36B/SGUZ20y+AzpbCu0J4Xi vxv2m1COtkD/WP/fWgW7LcSTo2F/DuV8O4y5OqRBx6I9IqSvrdGeFtK5X2Hb hTS+Jvrbh7T5QLTPDGkw1/iA11kX/V1C9eFm2O4hzWuA/uKQTp+A9siQRhWg 3c1jzgrtn3vvTR/Oh4Mwpk/oTlAb7Y6hWvEHtHuE9P5r2B0hriyFbRWqh/O5 p1COdQrN59wEWxjiZQ20s0z8PJbxzVSreoa+Qf9Fob1xX+PQfjJU8yp49qEa 3DW0T+4xYBtn4kWH0Nnx3M4L7Z97Hx46d575AP7OkCkX7kL7gJCW8iwamAt9 Q2fBc1iB9mmh+l8Ge0Qm3h8D+2Co5jaBzc9UL3uFYsZ4jUL7uEx3wCFoH5Vp /Fa0PwtpK9fSP7SeEq4nE//nMiahmjMUdrY51R7vzwnVq3JqQOiOUg/9F4Tu CjNhm4fuZTfCHhM6H46d4/H7YnxlqJZzT4NC+xoW2hvXyfWe6z0+EYoBz38v 9I8P3RsOg/0wVGsOCZ0pz/Nw2E9Cun0L7PEhvToCdkuojhwF+31IzxuSc6Ha sTf8TwjdUY6E3RXS5D2hnGA+3Mr4mvvzYBuHtOU22H6heyLjM8Trb8H1hjSJ ceadntr+Eex7oZpaiO8ODN1BxsAuDNV73gd4V2Dt/RR2Q6gu8e7AfurbOj+z braFXR/S+PwQz8nxqxiXTDXg+Ex5w5w5GO1LQvdlcvFi85Hac3tIfw7DmMtC +nU02leG7nNTQmfBc/gz+i8K3dUaon156E52DeOQqQZMJO9D+vlH9E0O3eGO C2kc9Y15z7Xw3n46+h4K3Xee5bmG/h+g/n0X0sDWIZ6QI9+GYsZ4vQT7ckjr X+D5hX43WgO7OvTb23M849D9aSVzNnRfXwX7dOi3tBOxhumhWsr9/SnTHsmh zeYR93p4pv3ybI7MdD4FIW2lrvL8Dsl0hjzvv2TaJ/X+p5Dm/xjKS+ZkS+Z7 6L5HnXs4pHWvMo9CvxfybJb4fJaRf6HfCxvBd1P3P87Yhu6dyxnD0G+HjUI1 hvFl3dgeqh2LYReF7s78/gyv4YsQf8gd1oELQ7WAevxVSJPvgV0QulPvDPHq /7/LZOIhOfh5iJ/k5qkhHee+XuPZh+6azPFNznP+Lss6xxrHfNkvU868zXiG 7rXUkvqZ9OT9kBZQB8itD8yvjSG9oFacQp0O3VkGh3SNmvYu8yX0O2tpiJPk I3WxqbXxTeZF6DdX1j3WNtY1akatTLrRLFR3WXNZH6iD1EDGhDnNuFDD8jLp GLWzTib9/A0D28Nz "]], Polygon[CompressedData[" 1:eJwtlnmwV2MYx3/e52S7c5tLtI8mgxJKtyulREVhLJVdtsnSZLtjTIaREsqV Gyk1qGhR1tKeFtJO+6qkRYqYRMqSyvL5zvf88Znzed5zfuee8z7LufW7lXd5 JBUKhQrIYEAUCi/Bhyw+DeV4K/g2ee1nfC+U4XvgJvw2eB1fACvxWvA+vhnW 4bXhA3wL9MbfCF/7GFyFN4XP8EEwDr8AVuJfwhd4TXgP/yr52gYwJfk3zfBz YBb+OazFV0M//Gsow5vAXHwFbMdbw058h94pfI3OLYcD+EH4CW8Ov+H79UzJ a8PxN+GJ5L+5D/8lvBe6ZiFeA97FN0Ap3ghm4vPgT/yP8L33wgh8DCzBn9Q7 4dVhvPYOzsfPgo/xT6Ga7g3LtBfwKj4IRuNjtEf4BuiPfwM98AfD5xbBi3gp iT6K/wsziE+FcfgamISfAmPxVcm52xi+l3K4B/8BmuHfw2h8FCxOfocG3Pte 4rfwUXoGfEv4WbdBX7wrLEzek7/wQ+G9uBDq4INhPv5C8rV3wfDk3/yo3IT/ tmpwK74tfO9S2IXvhl3Jz3hrOAfae9WoanNNuDZUo0PxYeHau1OEa0q1pL+p vS3LvFfa4yPEh8PPug8ace5+4rfxOfAonljbr1zDK3p34sP4SDhX9Ud8fF5D zfHL1HNqQo6nE9+hHiGeDbfj9Vn7JHntZuLTiGfgw1QfmWtItfM3XI/XYW06 /hrcTXxG5nuNgO7ql8y1rmfO8IBO+K9wH+cbZn4X5bAJ3i9870OwKZwj5WYr FHH+cuLKlNcoPgf6qhdhfLin1cuqWdXa3PA51dzF+H/wEV6RPGvUo+pNzZyj +D/hvW4BC5QbeBZfDxPwh9RTyTPjWtUzzzRVvQFXEJcQT8ZfhvaZZ5BmT4ly AFer55Nnyo5wDpU7zYgWXN+FeAie8tx1C+dSOWxJfCPHocRVOHaCmqxNIx4M 7fCnWCvHizk2Jj4PHiD+PbkXK/SOyT15KX4saxPUq3Ayfk342gOqaeKRxL2S f9MOP4G1ifgA6EBcTDwJHwht8Z7h2i7ieAkckznXqlHNmvnhvdTMaRh+Z72r nrFPeM9K8neshXcOv5tqrC7xDeFaU03Oxi+CZ5Jzqtm9HDYlz/Ah+MOwNLnH p+jvQW/8HfV8eGZpVmlma5avD387NNOX4avC35bnYSI+OTyrdI+p+MzwLOsD i1V74W/Hc8m1OS88W1Wj9Xj+W8K9pB7T7Nwcrm3NUNXaovAsV81p1t0T7iXN PH0024RrVzk7kbh9OBfKgb4FS2Bj8jdBtaacKpeqOfV+ZXi2awYsDT+znlW/ aYnPCu+N9nRFeA/07trTs/MarJLX2JnhmaJZop7WLJ8Gq5Nn+vTwHmlvtNYr XKPFeY1Xx68L945q+DjituFaVI2N1f3D/xsoh1U53zFca+qx/uGZoVmhmXcS fmW499STj4drsiifGd9x3Bn57Ib/ATsmMP0= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnnc19MSx5/0PednF9lDyL7v+77LGol7s1WSrfJEpVSkjZCoSIRSiRYt 2lNkSVpVSFrsW5H1crnuvZ938/m9nv6Y5nznzJmZs81nzu9pj8YtL2uxUUVF xWr9U138v0VFxf9EV4t+E50tukh0ZqqoOEf8YtG5ap8nfqnoylxRcXypomIv yeqLdhb9m3Hi54pfIrpM7Z1Ev/MtfqF4fdHJah8n2lF0gaguuqLz1T5fvJ6o gdq1RH+qfZX4LqK/1G4s+ofon8Qq2W6iv9WeIP6K6A+1r00xF+Z0o+gaZIyR fFfRf9QeL97A8uuKaF8pamLbDZk/8YlfLrrBMtbneuteJWpkTkxvEodooqgi hd+mom6i9qK7Rbd4DPO41Ryf1VLothDdbB/otbbebaYmjuVO26Kvlegmj7vD nL7bPf9mopaOhe/TUvhpK7rLPum/bwNZe4+vFHWwjzs8h8oNfF7nWNvZBmM6 WpcYO5kzjy623c4xlde+q2X4rK7Y2ojfK+pcRLutfTazz+6Og7jGiAaLnmfd U4zrKXpwAxsPe274nyydSaJC1E/fD1j/Ieuil1LI+4oetb8eosfM7xc94rjZ 2162zffjG/h/whzbg2wPn086JsY9ZVu9RQMs43uoqL91+9sGY562LnENNH/M a9DP/ns7ru5el8cdS0nz6iP+rOi5Itp9PZ+O3qsh1u3vuXZw34v2jc9NZOcZ 8RGiURvYG+75oPeKaJjoBdHIIvTRG++50TfW8eFznDl9L3u9mNNo2+Z7gu3h Z6I5cb1mW9iYkiKuKaJp9k2MUx3vSNsY4FinSX+qaFPRdOvi81VzYnndtsc7 7ic9fpZlzHWGdTmPM83Hek8GO/43rDvB6z7Ic5vjeInxXXNin1dETMTyjmiy 9ZbYFvlmrnXRW+yY6FvkdSH298zpW+BYiXG+bfO9heb/lvj7oqZqvy3+gegB tReKrxY1TxHHMlHrFLEuF1WmmMNHrE2K+D4X3az2bPEPRe1SxPqxqGOKua0Q PZwi1k+K8DPTcT+aIu5PRZ1TxLpS1C3FHFYx5xRrgo9+Keb/WRG5nLxCfllK PMTBmRUNFH0j+TrRd6I1om0k+8rfYBzYBYb9IPrWcnANDAQLh6k9VPRjEfgI ToKXP4u+97jBkg8SrS0C18BMsBO8A9/AuV2NXeAN+AjOgDc7GjOvEP2rCMwE OxtL3kj0ZRHYBGaCnTsZe5n3zsZM8AlsBAPBrdfUnimqYZwcb3yqZVwFw3Yx NoJlM9R+VbRZClvXe03Jj+Shh2wXLAKTsAW2NLUeebqZ50Z/Y/eDDy29N802 GIOshXXBOXBtoxS42LwILATTyth48wY+Km2X71ZFFT6Ru8qYCwaBSaenwL82 9tHafW09t85FFY62ckx3uZ8Y2/mb/o72Ucbysp9O7iOm9h5T6Vjae30be05t 7PPeoqqeuN665O9u9tHD32DXRONTe/d3dR9Y0Nu+7/eYbpaBKWBUL+9fV8t6 2T/7WcZMeM+iCvOwm1PgYp+iCnueth740s82wI0y7j3hvnb2h/8HrNvXcZTx jTgG+HvjFFj1jNe6i/cG3+TLZx37Ux7T27Hw/UsR92+dfYMv5F/u3rmuTfFB Hh/q8S/4GxvgyXDHRP+QogqfxtrHcI953jJyPbmc/D/a/sb4m1jBlDIGwkfY 9njbxfcr/i7jx4yiCucmeAy4sB4nUuDcZI8j389yTBMsw880j8H/dH8T72v2 8ZzjHeU4XndfGf+mew4z/E2OJR+/51hneQy5mvxNHicmMGK2Y53jb3yT/8EM 8sp0Yww2FttmGf/mFFW4tcixgg0LHN8ifxMTuFDGyXn2wXossd0tU2Db0iKw Y6XHgE3gGzGAX8scJxj3oePf3PkPXAQTwUbaYN9HjhNcW+64wcpVjpN9eNOx gHGrHTPY97HjBNdWOO4ZHkdsYOhnjv8Ex4/v7VPgAVhQMwVugU9LjGtg2Uxj xNdFYB7YBbahx70An8Al7gf64Bh3hu/tUrz9LrIeePZTETbWeTxz7Ol5vmec amACg8CK2n6HgQnkNPCl/GYD7xpa70/38w1O8bbaPcXbCUw4JMU3GHCoaI8U 7wPi+MXxvW4ZeWuedcnZe7rGJ98cL360aGvRYSn6yGX7p8hr5JUDUuQd7ugb KWrcEd7vzXxW6SMvcacXUAsZT99KUT9y9heJLxSNEo0UHSTax3xLn8Mjxff2 vh6Y4pzhZ6FjBN+PEd/Xe8z6gc2s4bEp+mr6LOyQoj5g37ZNUYccLl7HOZR9 38bnYL8UtQV1BftG3cC+gfnUIuwPa8Ha9PVeUUM09N7unKr2jbqBvSPHkx/J hexbbdcV1bx3Tb1mdbzOrOteXuejvDZL7XNP7xe4f4j3cguvFevDehyc4jzv 7bVDXl5f7NTxvvbxvPe1fvbeJ+/z4V4f1uRkrwv7c6R9bu0zw16cmiJW7IPX 1A9tnR+OSHE+anpftvH4E6zPuFM8T+Z9gOd+Ygq76Jxk/fd930+0vLrPPD7n pzjf+Gbtr/S5oB490/t+Vor2+t9qiqhZ6cfGGbZTN0U9Ws/jGMN9px5FDk6e lwIrqVnX/+aToiZeb8/24Wdbzri61qcepcbFHmtaL8VZQ3ah/V6con4t17u0 63qO1GfUe+gy5jL3X+w2uY9a+QKf38tTnM0zPLaNz+kVKc7ppSn063vcpfb7 kvh1PqPr71aKe9BBvH2KHI296x0P95m8+kURnFr8G+cr7HD2bxLdmAJXvrYe Ok0tZ3/f9jfnFllT678s3sTnrYntf2mdZh4LJoFb2Ggh3jIFViG7xXbgt7p9 m+Xo3CneKgVuIbvZ8jLmzbZN2mAh2AYu0k8sN3gu2Ki0HXRb2M7tbi9zzrgm RU6vtN9lzjENU+QVMLSN7dzlNjgKLoKp4Cmy1paDm528L8jbeiwy+sBR9u1u 68/zmLK99pbD29nOvba5wnbusfx+8e4pMO6+FDhN3dA1xTftzm4z9l3PhzWb 7755HtvFOmA79Qf92O5hO6zNHV4f6gPwdYF1ujmGbo4HfbAXHeqJhln5ohS5 8KEUfcjHij+f4u35m3QOybH/yAZbztsV7AfXyYsjUuTf0SnO+hf29aBjaGQ5 Z3KQ7WDjv7J9VI61/EP8sBz7+Y343jnOcjXFeEyO9RsuelH0axEYPtRt7A2x zb+ke0SOu0j/MOuslWy/HPeMNyy/+YJls1LUAfcUwfkmd76ZAstf4t6lwOlJ RXC+wWwwnDoJjJhuHXB8sX1g/w3bArtWy3+9HDi3TvyAHPfsZ/GDctyDKfZL /TDHsfFmA7/JMeAsGMkbnHcwtRK+kC11TOSPYV4v5v6C14H1OVp+Kkpxtlaq vSLHb95Hiv+d4xx/Iv5pdo4T/1K0ldqHi/+Z454cK169FGfxULV/z3GvvhL/ OQUGHqz+tSkw87kUZ4vzc5Dka1Lg6lnS3zNHLbRXKfzhq5H4PqXA4C1Zq1Jg ex3ObCnO2rgUc2NeB0vn1xz3oY549xxYuEj8vRw5mrqA3E3e3VeyNdn5UfyD HPmFv0tclQNvd1O7dinO9xLJFuf4O8CB4j/lyKFzxN/J8TeH/cV/yJFDa4p/ nqOO3Ea8vttzxeflwOATxTeR/Ue4w2p/mOPvEgvE5+f428Vy8Y9z5MQdxbfP cZZqeK85exN9Tqhj+4s/nuINwFtggNvPeA9Y/6ct53c28vJAn5lnU+gho/8p jx1oOWOx/USKt9wS+1hsjFvoO76121vZz5P2RbwL7IuzPcn3rnCb+g0+2fKZ 1meuaxxHOYZ+jo3342Mp3pDwRx1bX8tpj0kxN+b1gNeL3x7ApTGWr3Vuwk8/ r2H5vYpN3o29UuwVeXKx9ejvnaKvHEMft5E9nKret7QXmveynXX2yxmmzp7t GFi/RV5D6jbqN94m1Iu8gcFx1mam1/Nt5yCwmH5+g5vknDbH6znJbeY/13Ym OUe9myLXISePTbeMvin2w++A5HZw4+oc2MHvCdM8dlN/kwPX/96c4h3fyOMZ +6510KdGmu/5Me8lnjv5jBxKjqP+461ILh3tNRnlPuS8QebZTnPPfW6qysdz PcdqXsPmPkdLvG7Hai6X56hzj1O7QY53wFTPf4r9LHYM+B/tfcHGUttZbD3i AovGeU/fsQ7z2zZH7iPvdVJ731LU/RepfUwp3tC35/imTV68zrmxrvgupcjp 5MXGOXLjeeI7lcLni2oPzVFPDxF/Lkf9PUD88Rz1+kviI3PUyM+KP5WjHh8D FqSok19We2yOunkE+SdF7b2P2t/muDfnkItKkVPAhz2ctzuTq3K8WX4S5Rz7 Pln8lRw1dKX4qhR1dWvqixxv9O1yYAZ40U7t9jneSN+LihxnZnSOORD/VuKf 5aizfxClHHt9V46/MZPDvxNVz3H+x+eYG/PaCUzIcWZZsxe8bg+L98rxPgbH 7suRz74VbZTj/HQV75Ljt4HHxEs53tA9xR/M8Wbrgf8c7zPWeKDX+QnyfIp3 0yY5/OHrafFlKd5HF6rd12eAfevvvds4hz98XSLeKscbflPx+3P8XXyV+BY5 3hSbsd45aoRXxafn+Lv65uIzLGdPJnpfXhefleNdxP5MyrFHE8RXpnj7MG4z jwWTv0mByzflwGnanLvBPnuDxD9K8dabqva0HO+6YeLLU7z7OPsXer68m3nP gCOPSPZBijl2UHu3HG9iaqiZOeqoTTX2pBw5mHM6PMdZLUl+Qo7a9lTOZilw 62K1++X4PayWZOfnqCGI8ZkccdYW75gjFmJ8Pkec20n/7BxYwhnfvRTnnHsz KsfdqSHZaTlwmDUbl2PdDpf8xxS/Exym9roUvwHUynEWOYeX5chH5KIrcuQj ctHxaudS1NO75rCFnV1y2MIOtQZ1Bli6hWSn5MDAk8U3LwUm7YntUvy2VIgf l+O9sqPa5+ao8TmDT+Y4hzUlPyNHvdBM/MYcv3lwp6/1ve4j/n6K349OJ4ZS 1A37iTfP8ZsL96+G7yCyFpZzp3fwvX5bfHaOtzf3eGffZe5Kyxz35U3xN3L8 n5H/A5bVsT8= "]], Polygon[CompressedData[" 1:eJwtlnn4T0UYxb/pN++1Ji32JTsJIWuiRZIK2SoVQpQKoVVRVEQPKkUSRU+E RD2VdqR9X6TI3mIJLbJLn9P5/XGeOWfm3pl7Z+Z9z1u5z+DOgwrkcrnlIA+c HrncXnBryuVuBw/DJ4Nz4OeCEvBbQH34sWA0/D7QXGOgFbxIlss9Ap8ClqFX gq7wAyzwCfwLcDn6EPp9+MegO/oguhT8DN5fiZ6Prof+GwxFDwfHwxsxvgI+ ivEm6KNgNPo+cD78JMZnwmeB66VBwGuDofCb9T1aC90Cnnh+PPwhcAO6PCgK rwPKwhsz/gH8Nd45A30YjETfA06D/wEGwYeAU+E7wUD4jWAg/GRQUGOgIfwA uBN+l56BVwDHaS7wOvxt0Bm+j/VqwbeD/ujrwJfwb0EP+GHGr4DX4/veRBcG n6N/pi2fvMcfobfQlkve41N4tgpYCK8BqjF+P2gBbwl66GwZfwdeBHyD/oW2 QvKaj6EL6Y6wdkn0BfBSPD8bPgeMQ3cM720z0BVeh/Gl8DzwHnqz9jX5TvRC N2R8mc4WVEf/BvrA+4KfpGmPsl5P7Tl6A23p/PnPQ7cJv/srz3wH/wFchT6C PgZ+IvPPQG9Bb6QdQF8t2m7os7X3jD+OnqY7ji6Bnp78zoXosujn4HPBW+hN tGWSz6ilzpbxifDJoBO6NvoV+H7m/xG9Lvzt/6KH62xB5eQY+lnfF96bKuA2 eDdQFd4A9IZvDe/Fi7qj8LsUI/DWoKeeZb1Fmov5R6CvBNXRjcDfYGz4bFcx vof29/Bd+h59hDbLfPc3oA/qO8N3+yf0IdpjMsfWOvRhnSN6HO169FHaYplj fRP6X93DzHuxUQlFZ5N5bzejDyjuw3d/Lbqv4iNzrC4GO8Ct9J2eHLPdwzGs 2NWeDAqfuc66LrqA/gUUgN9E3+XhmFOsVQPXwstlPruXwGD0EK0Jv4Tnd9Pe oTuYHPN/JO+h9k4xuRUMU4wlr9EPXjrzXV+ivcw/M52VYrwk/Pbw2oXAneGY UixpjTHwSsopyTnzH7A7nCtW8z01mfsadE10E7AX/BXOLT/kOVargjOTY/b7 /JhQLCjmKsLHg1bJd6Q//EFwVvKdnwC/Nxz7euaB8J3SXdKcE+GT8uNXMZ7B H1UO1beip8GnhveuDX1dwh4hb9CdfgI+PTzWgWeegs8I87b0zYTPCvOO9M2G PxPm7eh7M5wDlfsuRb8GXwo6JefsOfBnw892Qr8AXwQuVjzm+V8L5++H/nkU fGR4L5uCffqPsJf8yPP7Fadhr1uDXgJfHJ6rg/4pc45WblbOnAd/HrSHX8oz C+ELwlzfoNz0RvjblaOUK5aju+TnjBVhT5QXqu9V+Csaz/M/vgR/Oby2+ubC nwv/q9a8KuxR8ibF+IdhD5V3dkvOxe20R8k5WV7wFfqKZE/4Ouwh/3uH/k+x FPbu4sne1ACMSPaoAszXFD1Wd0X3LZxjlVuvTPaWT9GXJXvMZ2GPl7erbxN8 PcjBe4EKzLcxzOcn1xbFQe/kGmMzfFt+LKtP3rMqvJY86GD4zHRW+sZ94TPV Wd6W7M2NwKhkjz4SzjnKNer7MxxzirXByd5dJ8zl4fLu2trjZA+fAi8YvvvK Ge/Ci4Zze6Xk2qQuGJZcoxSDbwiP6Z93hXOucq3mlJfXBAOSPT2XOecq145J rmUah7lqGtVi9cP/pppsTzgnKBdozR3hHK/crjnlnTVAv2QPXa3zVV5I9sS1 YU+SF12d7MUfhO+OPLlQZk+QF0yijcw5X7l+QnJtd5ZyQnKNVzyzByj3T6Ut mtkDlPv1jLzxzPBc8kh56znoJ5M99oTMHiFvUJ9qt7bop5NrOHlve/S8ZA8u j75IMZjcVymzh8o7FyTnat0x3S3lbHl76/C3yePlLRUzPyuPUa2zK7m2U81T HV0tcyzIU+XlqhlUK8jTy2T2FHmJYqxkZk+QF+ibVUs2D++VaspjM3uovFMx tC3sefI6nZHOZk34LHRGfeC1MnubPEC10/bkWlc1lGq9ncm1sWo+1U5/Jnu/ aijVxqrRVZurRlYtXTrsRaqpVcuWC9eKqmnvDtcYqi3kSc3CMa9Yl8f/B2p5 gnA= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0sk21wEYx+EfTgsLCwuLFi3+CwsLCytrt+ASXEBuoAuwkTkhkTKUMXOI QoYMGTOVijIUGTIkU4/zXzznfJbv+Z43lJaeejciCIIMkrnpW0QTQyxx3OYO IeJJIJEk7vGSv9RzSgNnZHNOI/9o4oIcrmjmkhauyaU/CB8SwYms44hajnnD H15wwHMO6WOfGn5TzR697FLFLyrZ4TU/ecYWT9mmh00q+METNujmO+WsUcY6 XXzjMV8o5SuvWOURnyjhM52sUMwSRSzTwSIP+UghC7QzzwNmKWCONt6STyt5 RNkskiw9zQyTTPGB+4wxzgjvGSWTIYYZ4B2DTJAShH/jP8wlXag= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{261, 260, 264, 482, 473, 474, 472, 476, 475, 401, 478, 479, 477, 481, 480, 402, 484, 485, 483, 487, 486, 403, 468, 552, 463, 471, 421, 469, 420, 470, 400, 263, 262, 261}], Line[CompressedData[" 1:eJwl0tky12EYwPHfXyRKJEQosh24BJdgK0uFM+dp3AuiItVMpOxUltBCsk3q JqSSLSTFx3Twnc978Bw888ybWXu7rC4UBEGD8j1SdUuPdSksCD4wjTNM56Pj GU4zhe95kQ+ZzHdM4lteYDsT+YbnOcUEPmA8JxnHCZ5jG2P5mjEc51m28gzH GM1RnuZ9RnGEkXzFU7zHk3zJcL5gBO/yBIcZ4hDD2HJ8BA7ynwZ0qGb9Vb/+ qE8HuqN99WpPPfqtJu2qW7/0XDtq1Iae6qc6ta4G/dATreibVvVdX9WhNX3S lrq0qWfa1rIy7D3Ly/zITH5mFud4hfPM5hfmcoE5XGQel1ivIhWrRKW6qmsq U7kqVKnruqGbqlK1alSogtD/v3QETltOuQ== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{785, 553, 757, 876, 941, 821, 933, 934, 935, 787, 927, 796, 986, 987, 985, 989, 988, 798, 993, 994, 992, 996, 995, 799, 998, 999, 997, 1001, 1000, 800, 1003, 1004, 1002, 1006, 1005, 801, 1008, 1009, 1007, 1011, 1010, 802, 1013, 1014, 1012, 1016, 1015, 803, 1018, 1019, 1017, 1021, 1020, 804, 568, 560, 559, 558, 557, 556, 555, 554, 785}], Line[{672, 634, 763, 636, 926, 925, 1075, 904, 1074, 905, 1076, 912, 913, 874, 875, 873, 903, 1085, 815, 820, 939, 940, 1092, 814, 1067, 871, 1065, 870, 1066, 813, 1064, 869, 1062, 868, 1063, 872, 672}], Line[CompressedData[" 1:eJwl00dzzVEYwOF/3Oid6IIgokQfEYRUvSZ6J9YSPSTRywJhRg8W2gILvffe o7dV+CR4zlg88zvvuTN35p5zblJhcUFRXBRFv0mPRdEVirjNEG4xlDss4y/D +cMIovgoWqG1NEtrarbW1pVaV3O0juZqPV2lDXWUNtDR2khLtImO0cY6Vpvq Om2hkzRBJ2tLLdXWOkVbab620fXaTqdqW52m7XWTdtCZmqiztKNu0SSdp510 vnbWbdpVF2kXXaznSbZeoic4ySmO08/+du2rO7S/7tVCMqxT9SjH2Mowe710 IAvIMi/UuWwO527uqQOYTaZ5js6gkg3k2tuoe5ge7szcQ49QRo65XCsoIN3c XQ/T27oPzZlobqYTdC2DrVPCb2BcuGvzeD3EQVaTbW+NnuMsI6lvr1s4C3aT R5q9ZD1AqnWMeOLItFdDl+uvcE5Uh7OhmEE+S9Rd7ORM+D5Os5T97Av3zQ9+ 8pXvfAv3z2e+8IFPfAzvhCre84Z3vA3viVe85jkveRHeF095xiOe8Di8Qx7w kLvc5154r9zgJle5zjUSuMRlLoRz5mLs/3/vH0OqXSQ= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1GmUT2UcB/A7mTFosmWphCzn2M1QzJClnCOyZyllvOk4iDmNMCiOw4us SYZCZd9ps0sLamQtWYYxY6eyTmXfp89zevGZ7+/53nv/c++d5z9V3kzv+nZM FEVt/XgpNopaUyYuirKZXjiK4smkCDPoQOP4KOooB5HOEefOlLP4hE+ZTY7+ czmHz5jHXI7qF8iFzGcxi8jVL5XLWMIKlpOnXyW/YCVf8SXH9N/I1XzNWtZw XL9ebmAdm9jICf07cjCdmUAxJtKXfpxyTi3P18X8KD+SwBZe4SSPhc/idDif is4fIs+7tra5uLk/j3BBd0aW4COm0Y1k53WVQ8mgFM/qSspCXHRdHevu5tKc 5XHOUVlfiWHmS86ray5jfotXSbHuIYdz2fF61mXNA+hJE+vX5AjK8QTP6crL WK64pr716+YnqUAj66dkHPmOJ1q/YX6Pd/lbl6R72jyQVJpa95Ij+cfxBtYV zWlUMVflGXpbj2Uyk6jEKD5gHNV4n+qM55rPuiRrhPdEzfCcXNfny1rhGagd 7osb+n9lnXAf1OUqN/XXZb3wmdQP53JLf0smhnNI4nagvysbcIeG3Auz/kH4 +3E/vEseclcfeb5G5gIaE2N9T19IJoc9IlPCe5f39YVlk/CeZVMZLx/oi8rn rYvIZmHfyof6BNk87FXZIuxNWaAvIVtaF5cvyJIyCntJvhj2m2wV9pSMCfvL 9/4gWWxgBXPIZAKjySCNPqRSwF9+1zHXH+coeeTyp/6IzOEQh8nmD/0BeZB9 7Of3sK/1v8rf2M1e9oT70u+Uu9jODn7hjP5nmcVWfmIbp/Xfyx/4lu/YzEn9 mHAfcqr8kCkU5WM6he+CYx08U3va8TJtaRP7///G/wCAW6/R "]], Line[{1299, 1257, 1261, 1265, 1266, 1267, 1268, 1449, 1611, 1820, 1610, 1818, 1609, 1819, 1637, 1817, 1608, 1815, 1607, 1816, 1636, 1814, 1606, 1812, 1605, 1813, 1635, 1769, 1574, 1767, 1573, 1768, 1632, 1661, 1567, 1667, 1668, 1666, 1522, 1766, 1569, 1765, 1568, 1828, 1829, 1827, 1630, 1542, 1521, 1842, 1631, 1570, 1604, 1603, 1646, 1645, 1832, 1634, 1830, 1633, 1831, 1662, 1663, 1335, 1299}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 1.075 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(1.075 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdQFVuz6BEz6jHnyDEcAyZUTOiYjgEREcWEOeecxYRizvkYUTABKooK xm1ExISKgoKKJMkZVAxcX9X+9VSNdT6e99x767vv+deuX/X0rNUza3Wv1bvX GI+YajPa0MDAYGJ+A4P/87t04bcGVRyDdcNvLdcNNvdQOl2b8tzD9plwUcNr H1Za+gj3r7KgxJkLx4TRH9jldfD19jdFH0YfRh9GP8/Jj4E2ox+IPow+jD6M fr+CRhNmdHom+jD6MPow+iZXyo5r3TdI9GH0YfRh9HNNrTkmz7jXog+jD6MP ox+3ufzZKPN3og+jD6MPo287oVrj+3fCRR9GH0YfRl/X8Q+P01ZRog+jD6MP o1+ncoOG2wOjRR9GH0YfRn9bZtNT84bFiT6MPow+jP7Xx63rD45JEH0YfRh9 GP1zfYxfVGuZLPow+jD6cNg+M4exkwN1b+YcKtJw5G7FUtejV/rCR8LcHz6y ZpB5k1ZXhNH/rVB4xoDgZNGH0YfpH/r0D6Z/MNejz/Ww/aYJiwYM3aArZxzv UMf2qNJ4/Z6gDvNf6kxOudqaTJumbDv5tN764c+FMx4ZLXne7YnwqVBHlzaj /IRlPul5evVMC/+mN4XHPXgQdsfonDDPw6jOwctJQy9J/2H6ZzZny9VaVueF 3wa7X/SerhP9hlmxL9f0viv6MNffrhYx8IjfbeE9z1L6Twm5J/rxDXPHbbjs L/ow109Zmd23eeIj4cP7VtY1MHgq+jfDisX0ffhc9GGuLzxnw4mI1QHCc3tu r32veKDo79xR5X3Vt69EH+b6d7X3Hju556WwpeHhWlurh4j+pK4mkdHJb0Uf 5voLwcePzHF/I7z5Vb+tJ/eEir7T130p/ZeFiT7M9Z27BD+p+vadcJbnkOJb q4er7y/QeVobo0j1/emZ6z2qhVnnGRchPGrD6M1z3CNFf5aHa5LxtveiD3N9 hazox9HJUcKPxkwqatcsWp1Pa85MyVcpVh3/eub6Fc+SrB7OjxFu0W7mRuVa rOh3HemdEOsSL/ow1ye6Zz48Y6jy4fILitTokiD6Z811kx7XTxJ9mOv7r/xq uXNdonCRtKXrC/gnyXwzj7rlOMckReYXzP3xN8yndw0Nx7RZmyzzCeb+xGeY eAsTP2HiIUx8g4lXMPEHJp7AxAcYfw/jv2H8Mf4G+/FfMP4Glv7q/QnX+6zS xS+xjGyLv4N5PzD+aor1+RqmTVLk/fmv7Bowf2CyMq+0/eVHzZ7r1lh26Wr+ XT7PI+jWzcJ+wvY3Vt6a1y6wbdEVQWcTJ6wVfmUbN2ym7yHhgOAtj5Zt9xJu N8f9+OB6V4W39x4V/jThjrCf03T/dhd9hQ+E6KaeLeAv3Gp55zHjpzwRnrXp 4eSFFZ4LFzPrM8p06Qvhrh2CJ3YyeSUcET18xOctwcJVMqLHF2n7Vvj1w+aN wnqFCn/q/blJ3B9hwl2OtT3t80rlkfUNPR97RAifWfpnA7eRkcIP8xU0Pdfy vXDFgZYnN8Wr3Dy06JndN2OEHZv0Npk1O1b40MUyjRZ1jxdOKjzQrf83lQtt q3x6eECi8ICoYXXbrEpSBrZ7b7D20BWdst0iYUBgsmI0I2WyxcKLurWLqi6r cT1Zabp9YZ75lSOvES/Rl/mjZ5k/epb5o2eZP3qW+aNnmT96lvmjZ5k/epb5 o2eZP3qW+aNn7XqH8Rz2dUXjC/WvqvGe/sbHu7x956rMiFk24q8oZ931kjUq 57VU1zPosx6R++nlzB+rwldix4e/1DW6u66rztapbanC830qFlV5Tv0z5Ud/ CBD2qJ/exvP+c2Huz/1K9DTZ8sXziciDrGImnXrrLzwjtMPSpE33hGNDfX3X tbgvzHyG8Z/c3716y6lVCt4SuVl1z1oOw24IJ97vvKfOiLPCYQ9s6o3wPC/M eJH1if557i62xf1+fk/1/Tn1jSwYcl3Gl6xH9PKMhJFP5x67JTw+34x3e7P9 5HpZf+jlB3sveVTw/kNhows+iTu3PJXrZb2hl7sM6hHZ44M6Ht+MC4gf6hwo 18v6Qi9fUNQuvEzBl8LnKobF1j4fItfLekIvt7o57t3bCm+E/3w/N31eeKhc L+sHvXxLq8tT++xUx/vp64tnDp4ULtfLekEv/1zyZmKLqqo/Kb/HMbV9RqRc L+sDvXx0gu/kysfV+bJ85vrptRZHq/Ob9YBe/tjncXyuxqq/SbDclmyUP06u l/ivl7d0ejEx6qI63/rV2jM1aVOCXC/xXi93nv861q9DopLXMWb+gzljdEb1 0xym5/2+vq+R0tXgyEuJH2XSO45z7KFysbHDk7bOfiL8yuzcb+WqqMx4znV9 eKseAcnK7SujX7bv6KnTtWi2OHNLstLBJWTJ6Gf7Zb1AfDw1YcK69pWSlVN/ 1tnXbYMaz4iXcESxJo7el9X45tTtYWhlmx0y/r3WtWo5t8LSH+bbn89iGsX2 8tZxPxh/BBNfYfR9qz4IK1dvs+jD6MPowz6RuV4PCjunjL/hUnrbohRl0GQn 44L+fsKxaUNjp+96LlzrTFLHtz6vhRt76axqfQ4Tfrxj1eeQEu+FJ8/qeXxb 3TjhQr3L2lp0SBJ+vjtpqcHJFOEaq3sHBnunCc+c61Xf63aG8M0xFVds9f8g XLzvkleTQz4JD/szvFG36M/Cp5t2WVUj/atwdnW319nZ2cLYX6VBbdu8N1PF fhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsf/ZHrftc/Oli/0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2P/6vwNA2IsMsR+GPth 7IexH8Z+GPth7IexH8Z+GPth7IexH8Z+GPth7Iexv+2ssyUHbcoU+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2Hsh7Efxn4Y+2Hsh7EfbnpyzbECv21Vbs8d0+xB1VTh eRExs9qOShNu0GvyOY/j6cLhV5PTfk/IENbeD/8CM99gxh/M+6jmUcx3r9NN 6Q/M/SxL725zeckTkcPIVz/9Y1ft0y9FDiMPu2v30SIpVOQw8qVHqx/JlT9S 5DDyKo5xvbyrxIgcRn5lpOe3KWYJIoeR1z909XmJY8kih5HbbzY2STybKnIY +YMljg73rqWLHEZeYWpMkItfpshh5BOG9Gi49MVHkcPIvXuccbQLyxI5jLxA m9IhZolfRA4j72cy37RE1jeRw8hZfzQP3jfeY5C7xGOY9ca0aiGmxu08hTfO Xja5SsvDOvYPXA8Tz9kPIIeR0z7M/bVy9jv0T5vvJH+Av8DeaxuDZtl4+yg7 9zkeOf1IXT8g35vny7ad656JHH+CPPDGuoTcl4NFjn9Bvla3wblFxjuR42+Q 1z5ga51UOErk+B/kPvaVvx6pESty/BHyUXaRJwaZJ4oc/4Q81/6+bgXrpogc f4Xcev2lXJHN0kSO/0LutLBK/+vtM0SOP0OeOMHh1N4eH0SOf0PedmBUnrkD Pokcf4d8fTcLO5vRn0WO/0Me0uLUmfrTv4ocf4i8Xu0SBQouyhY563Pt+vT/ Nj+kzQel7q9c9MUgT9kPxxf/a43fLVeF9XL6NUfbh0XvCl/YZ5Onj9cz4dQB YYNvRAUL7yp00a5soTDhZrFLCzz6PUr4mW/X8ytaxQpPP1ZsRGubROECHSfl /9Q0Rbivqf/ggHZpwkeNm547bZmh9q/YbqN1/T8IdzL4MmzMqE/CW5OGerWf 9lk47M2tIpXtvwqbPvpj1MdV2Yo2//X0UrCxzycPHfygncOmgDtHhcPeegYU K6Ben3x4R9/SaSrvtGxearmlur7j+SI/WrT8zlXN04QtL17qnbFZ5YH2+55/ WpgubFCr7baxz1UuFlO19KTrGcIXtt54+rJ8pjDxD8afMH608VDbP+IjTHyE iY+tNjdckZb/uPJ3+yvipeRf9PERJh5KPkYf/2DiHUx8g4lnMPFL7NHHK5j4 BBOPYOIPTLyBiS8w8QTm+Ur80D+v31aGdLRfeV74QJ9cu/z779X9/55/2tmh +eyAEVdk/EzLHf9Bd/2qMM9T1h/652e+c3Z6N1d1vFoO6DfHasf3dUrFywmd Nj8S/Ub2pU+3Uh4LV+k+2X/T3EDhPgsrnDF6rPLAAl/rfD36VnhzC1ejed9U vj/Cp32zuHDhyKxKZ1PLRAiPb78xMc4wWnj5y4ghJxqonL9a372HK8QLG3u7 FxrWWWWb7N9cTMonCw/r3mpQoYYqH06ckZW/ZqrwqVYHzka1Ujn19Qvr8Ebp wt/qGBa82Vnldg9bHbtmnilsWX7M0P02Km++cuDrX10/Cu8r4Hd+3hCV37gZ 9pndJ0s49kP9wn0mqNxg7xhX62FfhFu93zKi4RyV7df6GZhM+ia89kWGt5GD yjUcvriVn5H9w/tn/S/+1vBTkyuJ6ngw8Hl1/vrLNLme/YH426n2Mxs0UfmC 6ZAM0yoZcj37B+SDQrLPOs1VecLBd02PjMiU9Rbjl/0a/V09pN72wGE+wqzH 4KWTjlR/OVSNn6zH4Ct1mi3qvEmNp6zH4EUzR8QNePtOmPUYXNGm7u5iHyKF WY/BFxuldrr7mxp/WY/B/YpeSllUS43HrMfgrMx2PStUVeMz6zHYIsrlSEZd NV6zHoP3PC/wxd9Mjd+sx+Do25Ns3Duo8Zz1GNzinP/xVVZqfGc9Bq90bpo9 YqAa71mPwS+27rZtO0aN/6zH4F4ztiZuOnxFV2O3972egcmKocs+O2v7i7oj 88+4NLierLheetjUd93NH/5f0/p/1ufT71W5vXziFp32ebF+4/nAPA8Y+2Hs hbEPxh6Y9QdM+6wHaB+mfZj2YdqHaR+mfZj2tflN/o9ifsDMB5jxDzPeYcY3 zHiGGb8w7fP/F+3DtA/TPkz7MO3DtA/TPkz7/N9G+zDtw7QP0z5M+zDtw7QP 0z7/79E+TPsw7cO0D9M+TPsw7fH/Ie3BtAfTHkx7MO3BtAfTHv9P0h5MezDt wbQH0x7M/fm/k/vD3B/m/jD3h7k/zP35/5T7w9wf5v4w94e5H/+/cj+Y+8Hc D0af/2vRh9GHuZ7/c7keRq6tV2M/wn5W8l96OfsR1vf8v83+BWa/oZXz/yb7 D+TsP6R+Tb//kHo3/f4DZv8Bs/+AmW8w/aV9+sP/pzD/j8L8/8n9kXN/GDnX o8//oTD/d9J/5MwfGDnXo8//n/I89f9v8ny0cv7P5HlyPeMTlven/z+T94E+ 4xHmev7PlPep12c8wlzP/5mMD/TZf7G/YPxJfko/XrXjSRu/kEv7eqb/MPbD zH+Y96EdP7RH+8QT5DBy/D2MP2a8wMjxnzD+jvEAI8dfwfgbGP/B+4eR4y94 3zBy/AXvF0aO/2C/i78gX0g9I/lF6gvJV1KvR36T+jvyodTTDThSw6BSjWSF eqxSk5b1XtYoXqF+cbZT7z2Xnr5VqOdrGX6rXQ/nQIX6vKzu4x7p3j9SqLej Ho58HvlL7l+yV0S+t6NPKNTXMf5gxqs2f48++Q7yD6z3YO7P9bmdt5j5Fb8q TL4Ypv8wzwfGXpjnCfN8YJ4/HHQq5VPJXBHC5IvhORsuHvUrFy3M+9S+D5j3 r30erD/J//A8YOTkg5DDyMkPIYeRky9CDiMnf4QcRk4+CTmMnPlL/CAewIxX 6oNh6oN5PtTvIteuD/GPjA/qQ2HmH/4UOfEa/0k9aIpNlzvR01QmnjOekRNP iD8w/obxQf2uxHu9v4fxF4xn5h/1mMw//BvxE/8LM76ob8Zf0z/GJ/XH+Dvi If4eZrxTb8z4ZH92fPvqvh8apir830R/me+Bae+Xp5ul/LCfIh9HPIKJRzDx CKZ/MPbBPA+Y8QbjX+C91dv6WRVNkXjF/hI5+0uY/SXM/hJmfwmzv4TZX8K5 P1qd+uqpxkP7ZbsWXPNJlHiXr9nW/ufXxv6wvu/86un51qHvlEkWUX8km7yT ePXGfHzqqKWvJD7NOLH3U/uXT35Y385p7Jh37O54Gf/s90utatuz8qt78v6O u4w0SG6RouwPPDv9afFDum22a082jktU/Ge7xW8KeqoMqHolpMndWGXE2Qcb 4uNDlCYnLMvezh+mTKlxJzjVK1IxmGtS8fD3ODYgM9zrum20krX0zdgBj54p Zayrlol/GvtDfe8/rectvrnasnwZyYr3jbEX59up8r+r793jGFTcbHGyUt7L d2PJNT5K0Nzj34yHJiuDK5sO+eL1z+t/GX/HElxXl7n/RDlk/ND80Q51PZxT fXDNqoGlXv8ZrwwxWDPv9/NqfeDf1Qsz/uvt6u05s2qIMrZWicn9rqvr5YYX 37kZzIxRbIZ8OeSwWtX/z9YXr67QosbZnlGKtt7w7+qNmb8RFvWmuxaKVA5b uZ1K/qKur6v6Vy2RXjJUGfby7IBuhXKuT8Y/vHi/Vin55L1i+GXR7Sur3sj6 e8+zdZGd8gYpi+pfv1p9t6r/d/XM+J/fI2anNe4Zq/RJ2HQ4tvML8de1fDKy XuR6rARVNc66nC/n+uc+rneOJMzwk/jkYW/4xC3WVdb345Ifh2w55a9bP9z1 y8UodT9pN2GQw6bvfjWrYI8GQTee6rT1DuRzc6qX5vo+uYrXvman1rsSPxP7 lvadWVONpznVU1eaMNW/eki8rL+J78FG+8qcWBCYY71107DsEjOfqvkD4tnZ z8s7xpRQ691Zn7tO984e5Bkh63XiawWTG1+sHX+s1yaeNap58KPrvB/rt1m/ r17wtfPVsup40K7fXSzCC5+Y/2N99+9W+29Mv3f9h/XE0+pzC+xzT/ihXhuu fi+79d5rKUqHj65bN/oF/bCeMC03zNR3f6rkq+37LTGdbn9EsRrm18q9UooS NMnH12jIMaVffavo7dcjFdMQ+7pd08MU9zW3Shdo46MUmbK/VJGmCUrI2c8G J1Y912Xv7FnccGKqsjjf0pttdgfovC0WTbzaK1Wx+XNf660F1fEzLO/J20fa qnzpzKc+O/IkKwOWxtnmtnmk7F3mP9L5TpJicXx8teBy/sqG03u3Zs+NV3bW cfxYpcNLJdecC1M7OLxXBpRceDVi2Tul3fAQV/v4cKVlvo7bOtpFKI6vLh+2 KRCuZH+s+6SUYaRSzvyaU0L3h4p54xIOszvEK9++HK64+8AlpXq9kLT8dok5 1t+G7jpVf/OUVzrXA3WO1EpIlfjl7XbttGvBNGXUAou8jo1TlMNNwotMKTFb yTJ/FLXke3zHvisLPpQy235GOT1y/d4e8ep+5fcjH1et90pUpv1Vxr/lQa8f 9i/yPnOoH67lZVdyV50U2Q+zX/LzX+bRdtyuHOt/ew2onendXN3/EH+XlLQe P2GYs84ufnx+k2g1P1O4hEWw8Ztkpb/b5OA1y64ondtdWHvLK1mJzF//6m9J N5QwU7/L9m/UfEtwu9/+HHk8QTHxmFF58cAXyoWGrZ5Xaq3mT3pN2z7oS8MY pWLBjZk1c4fK/nX92Ondc19KUvaUcPNwM01R9nTZa3Nyh6euzxun0M3f+201 fFja+XdndVzP+kZ7viOvTfKusl7u8j6MrYNmHy119Ad/xvkI5hf3W3u4UGL9 8ZfV653LLhlz6Zpw1saKfzmtvyvssHGHdZ6IO8p/9vwA/oD2r3Wv6Tq95CO5 n5mlW2qRK4+FvVdUPno145nw4hWvlk01Vhn/w/0qjTzcoFbLQJH3HRlpM6tI kHB6+5PZdWuGqPOz/YTgEOtgYfyd1MtUM129bdxbkXfb3OrFtCqhwn8tOWBi WTdMeGG2fYWa198J41+5373E0GkGD8JF/n6K4fI/zCKEmw8Z89KwQ5Rw+Ted 7gYHRgrj37nf2IfHK3uFvxe5Yw+/hm96RAs/N2+w8uKAWGGvK4VnbU2KUeev Pt5wv7zu0/wmf44TeXWTrSHbR8cLz6yYaTpteqKw7d6Aat3yq8x+hvs5NTXY Orl0qsg90otVXGahcv/4Dj5TrNOEu5qYtrGrqHJoucFdPhimKF+q+oz56Ocp 9RvcP7n6qOiuxulyvUHErOmD+qp8PPhoJYtBGcK7K+7cZvaHyuzvuV/bkr5t a9TPFLnVs6C7zUeonOlnNLPmuA/CUUZZMcWbqEw+gPttNDTZkd3io8gP3DSv UnKKyp0vTblnMOuTOv6zBrdLaKsy+QPuF5KyKe5VpyyRx59xmpU4X+XtJ55W DVnyWXhFzI2dvhYqk2/gfibv0tpfsP4icvNDee7fc1Q5YrfZHK91X4UDgmom OPdVmfwE97P377d7y6BvIl+7eZzxkS0qm67e82DrrmzhGr5rOi4ZofLPni/a 9vbm+c4zkyX/Ybr71dDOnZIV5bDL3IcL//vPHwUXdO9jtCRJ6dB9cezDfE+U hikhzfNOSFRa1G+t9LUO+N6/kW7VrRKVjbn2x8YcCPhvP6/knMvsavCaOMWh 0/zMmrbBkr8YNHLl2n2RL5U2xZUJ477FKN6FnOeWW/Tm1/kmzfmmr2caj41N dVIel/vqb2WfpOy06jJzeD31/3ryZcNXOvXasOCBEr/o9wtd7t9QLi926W7r q+bHPKb2ntmpSaLSx+n33t6udyQ/Fr9hfHObT4G67Uta9bFzV/Nh/h0ObjAK SFWKTb1VLEn3XPJh80p5fjx4Jlk50PSvTgXm3FQqOtwyvOj8fX84cfms5eZh SsWAQ7OOFn2nRG3x/HZxRJTinZj6sGPZV0qXK4O7PfkQrUxb2PH6DNcnSq8w tzKek+OUa4fOmWxw8VPKfPKxangg/ofzUd86Pr7fY9MD3bxKD8IvOKcoMQ7n Fxf6vp9c43RwxP3v73v1Ia/oF7XfKJONFg6Zd+a9ci6t+6yD8c+VGuMXfhxj FqsMd2s6LjMrXqmSd9KHzYWDlNLTerU4ZRetOKQ+i65wO1Rp7Rbnsj0oQnGe VbWX0YlwycfRPutHnjf5FZj9JMx+FWY/DJPfgdnPw+QTYNonv0b7MO3DtA/T Pkz7MO3DtA+TT9Pmz2DyZzD5M5j8GUz+DCZ/BpM/g2mf/S7tw7QP0z5M+zDt w7QP0z5M++yfaR+mfZj2YdqHaR+mfZj2tfUS7NfpD0x/YPoD0x+Y/sD0B6Y/ MP2B6Q/5AfoD0x+Y/sD0B6Y/MP2B6Q9Mf7T1FuQj6B9M/2D6B9M/mP7B9A+m fzD9g+kfTP/Ih9A/mP7B9A+mfzD9g+kfTP9g+gfTP229B/kX+gvTX5j+wvQX pr8w/YXpL0x/YfoL019tPQn5IPoP03+Y/sP0H6b/MP2H6T9M/2H6D9N/mP5r 61nIV2EPjD0w9sDYA2MPjD0w9sDYA2MPjD0w9sDYo623Ib+GfTD2wdgHYx+M fTD2wdgHYx+MfTD2wdgHYx+Mfdr/U8gHYi+MvTD2wtgLYy+MvTD2wtgLYy+M vTD2wtgLYy+MvTDrDc63Yz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M /TD2a79Hxv9j1NNq68HI73I9zPUw+UvOq6APow+jD6PP+Rb0YfRh9GH0OX+D Pow+jL72vCr5Sv5vkPMk+vwK+T/yITD5DJh8BEw+ASYfALOfh3lf2nok9tuw th5NW0/G/pLxCZMfYz9J/o39otTn6feD5A/Z7zFfYPKb7O+YXzDPV/t9Ou35 XpHr24PpD0x/5ft2entg7Id5PjDPT85z6t8vzPuFeb8w7xfm/cK8X5j3C/N+ xR59fp7zFoxn7flr9ksw+xfsQQ5r9zeMJ/wNjL+B8Tcw/gbG38D4G+14ZX3P 82c9y/uR70/q3x/rH8YD/hp78V+ML54f4xHGf8P4bxj/DTM/YPw3jP+GeZ4w zxPmecI8T5jnCfM8YZ6ndnzgb/k/hu8tUp9DfQv1N+Q/qD/je3Ew55fJB5D/ IN/C9wqpt6H+h3oavsdH/oX/m8ivdC9YMNK4pDqeYfqvre+kP8g578385P8O nj/M9XzPkfFHPpH3B1OPRX0R45N8H+8fpv5N+71D/BdM/KQ/1BMxnoknsJxX 1/s7Oa+uZ+T4P+QwcvyhnIfXM3LmF3IYOfMROaytf0MOI6d+ivo/zn/DPA++ v/lxebz709bpIuc8ONx5pnXuU10yhTkPDu8ccW7Amt4fhTkPDkf0KucxamiW MOfB4abt7fO1m/hFmPPg8PJGoYMqzv0mzHlwmPFFvoD5Qv0rrI3P7JfJD1Mf CxO/GW98b5P5xfxg/SLnM/Xn46ivg5nP1JOiT/0oTL0ozPyGmf8w/YWxF2Y8 wLxvmPcL8z5h3h/M+4J5PzDvR/u9S+Inz0vOM+qfD/4IPqrzy2N3Pk30Oc+I vpxv1F9vMGd9je39VLYzser08FO66HO+EX0578j3VMOKjsq3T+Vifz1ZrrRV zzuyPmX+aPOl2u9X4n/w/9rvU8DUE8PES5h6Ypj4CVNPDBNPYeIRTHyFGd8w /hbGP8P4b218gIkHMP4HJj7D+BuYeA3jb2DiN4y/gYnnMP4GJr7D+BuYeK99 n/I9AD3L9wD0zP6H+Mj+gOcB87yoT8b/s97n/cG8X+rr5XwO9WOcr9Az44X6 e+IT+wPGF8z4oz6Y/Rn+jO+z4s/wL9RP43/wj3y/luuxj3wU/ozzB9hDfgf/ x3kE+k9+BH/J+QT2L/gTmPdFezw/7s/z4X7yPWD9++P/APwn8ZLngT/nevL3 XM/75XnSP/TF3+n1iU+MF5jxQjwj3hGfmI8w85V4hj7rR+Ty/Wl9++wP6D/X y/kK/X6B94++9nssv+qz/73rs3kf8e4B7eZ5Jf6P12en5jk5+JDvXV1UkdSg msNSlKyJM4z97Tzl/89f39/519/f0daj51RvnlO9uLYe/GfrvbX12j9bj/2z 9dY/W0+dU720fE/FrERZ51Pq95T5vpG2nvpnv3eUU/31//T3kPDX8j0kTX2l th5cW++tre/OqX47p/rsnOqxtfXX2nprbX11rfN3/RJ9f6ynLlBpb08Pd7X+ hfyVth5VW18t9Vaa70UxX3Oqv/7Z70n903ptbf2O9vtUOdVz51RP++9e783z XFkn9Vzg6OR/XN+t/X6JfM+KfGYO9dniX/T7iX+3emz2x/irX98r+9ffK8up Xv2/ur78V734r3rxX/Xiv+rF/65ePKf675+tz/7Z+umjvZ3rdV9/U+KjeVrX Cbavbwi/MPnD5fLFc8LkX+Ff3z/89f3D/03fP8ypHp583zWTKUezLdR6brFf ny/+9b3E/ze+l/jvdp5Bex71n55nkO8nu9ldWpExU/ez5xu050O4X+gS6w/j Cycr/wHyTw03 "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlulv1UUUhk9vkdYWabHALaW1G1Bqq9TWstRCwb1qUVBBqlVEUEFbZKso KqDIovIF933fhfgXuHxwiUviEo1Go9FoNBqNRuMal/fNPDe9H578Zs6cc2bm LHNv/Yq1i4cyEfGNKBTHiW7RKSaKceJQcbKYJ2aLIpFB/xTRK0aJ0aKAtRPE XDFTTBeDokmUiIPQLeVrf4vFIjGG/Q4RY0WWeQVYVsb3YPwtFH2iWCwRZ4ty 9ErYp18sE+PF4WKqmCbOFwOiUlwsVok6cZiYJKrECnGhqBYNoob1ycTIZ2xE Vss9G5A1iyPFEaKFPb2+RqwWU9hjAr6GiJVjtl6sE634aObsM/jaXzu+vd7B 1+vDYpNoE7PIZwGxqSA23eQnw9pocpMhJ57PF1347kVeiF4JOcjlMjcfS/5K 8nLlWpiN7SLkpaxVkOM+ZEXYW+b66xFzuOs44jSBfGaxn0g+qrDL5ulVkcsB dLLks5b5JHJXg25tXi6r0Kkhp/WRaqSR9QbyOY18NsVILTSyPpV8NZPbFvTq scvVYgt6ro3LI9VALt+5GnIMjsrLdzt57kDvRHEsOT8zUl+5p64mjl3kdya5 KCQv7t9ryHcHsnnIHftj2Nd11B0jNdPJuB0969wsbsrbr4d17zk3RmrAZ3Of XoX/Oezdhb7rze+L+7qIeTFn6sVPGb7s5zpxKuvW68POPk5DNov4dBIX25Zy p+M5o+0Wsu4YLMDn6cjtZyvzYmRnoF+KvceuMb8ddWIb+RiDbCVy16570u/S BZHeo0pkS5BvF0u5o2XnIC9Hr4z5MvxlGVfy7Wd8vTgXXcvOQ74Uv+XMB/Ax wHmqsevHdjJrlt/AuSvRXY68mvtbt5ax73sR9/e6+8hvrt/ASxjXwSrsGhlb Zwf2tnW/uH/cXzdib7vLIvXPFFiNjybG7inX3Vnc13teiq7fWveQ+3AnvnI+ 1mDr+j0pUn+8L96L9Nv4gbgzUv3dJT6MVHPzxS2Rato9vQs/d4iXItXWSu7g 87tP3T894D5yX2yJ1J8d2LjWXZMbxZ5I7/wVYnek34trsTmac7hei7nrTu71 p/gjUv/9JJ4Wa8VvYr+4Uvwt/uJcrvFtkWr4H/E8+7geXVvjiet2Yuv6cn24 NpaTv2riO8g5fxHPig3M17E+g7Hv9ZD4En8PiM/Z8z7xKXs+JX4kxveIjznv c+JX4vSE+J4YHBC/i83iEfE1Z3xMfEtOnhE/E1efZT3ncVw3EVvHaBj5LuI3 nfUt5GsIH62sD+XpDONnA/5b+W7E5x72aEN3M/pt2DtOu/Pi94N4MlLtDrKX 5a5Lv4OumVfEq5HewdfFa5H+990mMgWpXr8QD0bq++/E45F67F/xMme4VfhH wDX6onghUr2/Ld6K9B/QuvvQ93/MRyP18BvizUhv7lfi4UjvyDvi3Ug95vz8 x50/E/dHeqtGac/b9d0rPhJ3R3qLCwvSmuWfiHsjvbn/Ax5QzKw= "]], Polygon[CompressedData[" 1:eJwt1HdvzmEUxvHzlDfiPahUqdgEQUpoEKQEoWkFsYq2Soe99961au8VVO1V e6tVe4vN9+Rcf3ySO788zz2uc+67TmZOenaSmbVDbezBY3THeMzHNbRBW6zG c2SiD87gAlqgHk7iNJohGU+wCr3RE5dQhdZIwVxsRyNMxVq8RD/0x3q8wUAM wlLcRxd0xSZ8whAMxUqt6Wv1QhneIxs52IbfyMVYbMFXDMcIHMcPjEJ9TMdl tEIaFuMO0tFJ4yXorG83sQgd0R4L9c3HHbAcj9BNGVdiGhoqs/NaM02ZXsUM 5eOZfcdMNNAey3EUjTEGJ/ALo5GKWfijs9ZVLReo3l7THbiu2o7DTtzSXvNw RTVLUQYH8UFZFqsWy5ChmtzQHHla45jW8Lmb4DZ2IV8ZWSIy96wnYS+eqnaF 2I0HqnWBaleus3oNf/oUzDFZZ/asaiWilzyzf/irs4/EEczBFGWWlIjMUvXN e2kzhln0lPfORgy26KF72lOBau5rz9befQ/eS1u1lveU9+4GZFn0sNd+BXpY 9EAN9mMi+qJaGRTqNwfw1qL3i3AIny16vUT/fWVxV3yOw/hm0culOGdxR/1u NrfotbMae889wz5MsLijPn5hcbf9m9/Neaqd53kRFWiKlnhn0RPFOuMX7aFU GX7UnkuUod/tdRhgcce9F+5a3KV8vNaZi/SbUxZvSrLW9LdnjbLyN+ihxZvl b5X34H9mZq35 "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlnWU10UUxXcGUUq6FlFaZGFpWGklFlgDCQHBRAVBBEQUMBAVDKwjFioi IohIHLu7jt3drcfurnt9n99Z/rjnvfnO/GbevHfvm1+rKbPHzMpFRUWHpKKi KrIzZC8U6qTwLxZaCmcK2wo1hGXCdkJN4XLhMmGWsFRYIlQTlgsXCFOFA4Tt hR2FS9jTe68QLhVmCquEK4W5QhdhJ6GFsFq4SpgnrBGuFo4T1grXCAuEa4V1 wvHCdcJ64UThemGDsEjYJGwUFgtbhM3CqcKBxFUqdMb32ReRhyOElcIVwhyh o9Bf6Cd0JUbnp6fQRmgr9BbaCTsLB7H3AKGH0Jp1Zcy3F3bF7sK+JVudY9tJ 6MN8B2EQsTpPFcz1FboRSythOHH4nMHMdReGYHtgWxHT7tzH64Yy7zsNw/YS RrCf4x2J9dnlzPu83YirKzF14D57MO5HzrqybjS/8fl7k6eBwiis77oP1uvG sNZ3Gk98Pn8s33y/cVjfY1+s101grXMzEes77Yf1nSaTU8e7P3bPFPyvLlQV JrHW66wFa8LaMNfNH3Pd3Dd3zCXzaAb3tj6sG+vHOphJzayDWdTDeppDXcw7 a8KcsT6sA3PMmrAOzDNrwjown6wJ68B8siasA/PGmlhEPayJxdTFmrAOOhK7 eVVK3F0Y70nd+hNrN+rnWLszdqwFTjnWnowday/GjrU3Y8daxriggTJi7cPY sfZlXEIMHh+cgid7peBIQbuljAdwRlvOdHzmRoHjtuaSe9dsoT5nVFDXgk4G p0oNFDQxlDnHbf6UE/cIxv3I1x6pkmcTiGnvrWIexbjA71HENJqxYxzD2HGM ZVzg99hUye9xxDiecTlnjicP5cz3Ja6KVMn7ialSz/52WIqeWEqeDyf2I1Nw uA7fDuL7tBS8N+fd56fgF/Qzmf0OTcGvQ9h3L8b+rblmLpn/5tFRKXRRN8Ub 4XE91llT1pH783TiqeCcSXzzmtqsc8zm7HJirc14JmfO5lzvfwn3rEs+JpEj a9v6t/aPTqFNc8YaXsb8SuYaCMek0Kz9Nvjm4irmGgrHptByQ+bsm6urmWsk zE+h8UbM2bdu1jDXOMUbd7LQTFiYog805pv1XpxCX+4J1pbfyhOEpin0bc4N 4pvXNEnxti7EPylFD/H6DuxZwl4n8u061hUT3wLOnE6dXI9TUvQcx7mJ8Q7C aSn6j/2O+H7vtjDXPMX/iSXk+xz8Wtil+KfjV8OewfezqF0NrMfVucNizjyb OtbEns36JZxXk/3OZU9z1v29wEf7tbHL8afhT2WN3wDzsTP5Hsg358ccNu/N K/PFWrGWrA/rzJq0Hh8RniQntwjD9cftvBT9fw11d+6vIf++30buaD5cT/18 zhWcdSprnP8NrHGNrInLtorLfn3s5fiz8b12Lns2IIariWcj9fb+1pzfuYLW 7Vt31py1Z61a6yu2WruCNaewj+9kXmwh9s34zok5aC6al+azuX48Y79/Bf7a L+YMv8HW+z1C7xx6fF/olUOr7wk9cmi7p2zNHHf0XVdy33Wc1ZTzPLY+5lOX 44h7A7ktxN2J2Nbx20WsMTetv7Xkcj33KmZ/17cJdi2+Y9+e+P3fwH2kEWe7 FtZlNc2/S91qy/8gRa9pKP9jclZf/kecX1f+h9yjqfxPU/DoZeH1FL2+Ro4c OT9Z/lspdL+t/Heo5zby36bOzeV/Tg1/Fr5PobfvhK9S6PNmYaTWnS/7p/Br Ch3WylEb16WZ/M/gxTD55WihsewncOEN4aYUmr3VNcnxNv0tvJlCo/5P5b7s vD0mfJlC63OZc29uod+9kkKX8/jekDhWsfZo+DCHnF9F/ufhtyPXq/l2g/Bt ij7zotA+R39pLftqCs079j+Iv52+v5bi7b1R+ClFX/pXeIla7KQ1T6V4b1vJ fyZF/2gr/7kU7+4/wuMp+ovrX5YjLte5T45a3yf0zaFf53hIjjyXyKYc/c35 65Ajhw8Jg3Nw2xzZPQdP/K2Y767JoBx1GSjbKAfnb2Nf72kODsjBwweF3XJw /gF+4/U/kLsa8OJ3uPEbeXFOvhAeTfEmPM/9D4Zf38CxZ8mR8/M0uXPeHhaG 5uhXLwg75/jP8rXwS4q34wnyeACc+isFr+4Vds1Rd3N8xxw8N8d/TMHz//dm f9+vCXc0v4pycOx2oVOOd8G6Kc2hnTuFrjn6oe12+HcJ3XP0ZGuuSw7dWYsd c+jxDqFzjl7nGOsQp8+pwll3p+hx7mnuE91y9ArvXZ39zYt6cMP7VWVPv0XD 0KB52iYHV91f3du9pr/3ztGv3GP65egz9zPn7+Z+yxz8/w/LFYkP "]], Polygon[CompressedData[" 1:eJwtk/sr32EUxz/PB8PXdXx93ZtLSFpLkknSUjI/+t2dJCFpSVpLy6QN3//E D3O/zHVYrm1+4E9AGzHlGq/Tc354dd7nuZ7nnPOkN3ZVd7qO47yFQPhpHOcE BuELxDOZAJ/QiZCJ3sPWQYuM4SfBADoJHPQvbA00QR7+NDYK2mAfsly7tx5i 0V7ol7sgFz2FjYRW2IUMxpr1zih0NPSi4+AMfsMIDME2vHLt3bUQhg6HHrkL XqJjoA/tg1C0B7rRMZCNPtDYGiACPxI+oL2QjE6Bz6IhCP0COtDREhPaBx/R CfAaPaNz7ZCDf4wN15jf4M9KXMaesQVP0Kg5LGB+XmOXGG/hRt4F36CQ+QWN Td74H67hq655gEfNZQTcwb3ulRgM+13X1kZy/h69ifXDGFThV7pWy1gJeklr JTn8o2v8GnMRelFrIzmrwP+uZ40ae9aEahnLx5/T3HfBFVyCR9/wjvlV7S3p wXO4gGFdI726obWXni1m/Q+trfRIMH6Ia8+WHAegA11bC+lJeeuhxi5v+Ad/ pS/0jnE4NfYvhEAZe1eM/QtS41T8dWyKsT1Rir+stZeeLsdf016RP3IEk1oL uTON+R1je1V6/BkfzFyy "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHl818URDTuLcoqioqKAgCCCR+/WW+v10QoKAlIIIsgZRI4olQgEjJGr IIfRcFgVsEIVtQZtjWBRBOWsBwWxKEXRaq2Ktbbe9r2+l0/yx8vM9/vdnd2d mTez+bUdNLrHDamgoGBXvYKCgDwbf5rkgoKr8bIh9Csh+wCfACfj+XLrlD2B wLuukL2A+tC7QfYGGkPvDvlL4GDoVyTZbAq9B2Rf4DtgG/Ag8BnwInA/8F9g E7AM+ArYAjwALAX6AdcB3wBbgd8CnwIbgfuAerC/EnIFMNjjC4HxwCiAh33I NkYCQ4H+wDXAMMsBwHDLa4ERlgOB6z13sO1RDrHdIbZ3k8fx+1jboo3R/s51 vgA2A8uBMX433DYKvacbvUfaeth6MfArr0d7N1vSxgRLrrnKY0uAibbFfZV6 PudN8jv6ZrIlvz0KPAKMA26xHc5vCd8eAzwPvQPkCaE1b/MatHe7bXGd6cBU 4Fbg994Lnx+3nOZvJV5nNVAFTAGK7O9BwAyPKwOeAuYDdwEnYv1WoTWftL3Z wBzrXP8OS9qYazkT6Ix5JwGzoP/B82h3QR0bd1rSRoUlbTwNVAPzbKvMPri7 jo1KS9p4BlhrG7M8thxY43MsBI4PzV8EPAussw1ykLwhf9pD35Dk/38l8fCq JA6Si+QkOUgukpPkILlLDpN35CI5Sa6QZ+QG+bfCvmY+kmfkALlI/jEXyV9y mtwmL5mz/T2f+U8+kIvkMXlCvpKX5M+RmPsnn5G8vNcxZf4y18Z7PnN8ZKrl 4dBUy8NhqZaHw73XIj/X8JDza3g4yvNH13nmOsz1ZiF+jLDdMR5X6PmDvcZY f+tvW0O8Bm3U8JKy2PFn/k5MtZzk2bqE8uyPSVwp9bdijy+xjYl+pu1Jfq7h JJ87hvj2mOeQC1M9p8zPBHN7uueRE+W2dZvHcU+ldeyW+xvBvJxpu7RB/lTZ DuewHkywX8o8dkaqrTs8F3nDnJ/v+XP8roaHc1ItD/lM/s21rRq+LUi1fONz tXWOaxHKp/VJfKr0GK5H7pBLrczp8lTLQ37rFKoXTyRxa5Hfk3cLPbfcfqF/ XkjqJ8zxQ0N5U+Q8Wea8OAD8MymnmbfkzgCD+c+c3ZVU76Z5znKP5TfyZaBB Dg6yXGn9laS6z3zZB7zqOLwF7Ey1tbLKMfpLUp1lDLcDv7MdznvMcXo5qf8x f9valzz/fmCP/fpaUj1l7HYn1Uf6uLVzmf79a1Itpt/+BnwA3ON90cfMm3mO H2P3NvC6n99Iqn1c972k+ljhWK1zXPYm1Y3FwN+TegPP+n5Sfaz0nLXOgXeA Nz2fMW3ruI6zz5i3O5L6YoljuMkxYRy2OQ5LHft+juFWx2q1/V7lOG9xnFlH WSsLnQfb7XPGebNjvcqxLPZeXnUs6GPmxzTHbYf39rhjOdWx+nNSjWQ8X0rK w4+T+sASn/sfSTnN3HnXe1nrmNJXH9qni+3XN+z/dZ7Pucz3jT57teNV4Tjv dg6scewZd+YFc2W247/BOfC0413tWL3jdV53vCsc8/3eI+8b++ybPY5xpc9b ZH9+5DNw/7yHHAv8xmc94POeErqjsi8my55+z375i6Remd0vTw311I997n/X ied/6uTI544nc+HbpHypWYP996BQ363pkfV9J+Y64X7MXPjSudPV+2C/Zh59 nZRrh4VqDc/MO3JT36EbhHow7wGUDbwW+3pD360bhfQ+zpelzpkrPKebxzay Hdpt7Pt9k5DO+8EhoXX72veseyO8l0M8huc7yOdq5j2Ps70m3sNYf+P71r6n /TqJZ/xHg3XuJZ+5yDnJ2s74rre+0LKF3x9tnd9rajfzsDnkEV6L34/yePKD 99Ulli2dM6xN3E+5ZWv3jHauG+QC5fHW+b2Na99xtkPbbTyX59rr/HwuyR/N vR/2nE4ewzxr77nkP+8E7Jul1qdYdrDOOnG4+/4GzyW/+NzBd2/Kjh7fyj2O a/E87K8zLXkPYT2e6+d5PmM7+5Nn62w/POF900/9zIlCf+/iuayDO+1Lco4c I7+uxP+Od4W43h16ZYjT7aD3C/WzbtCnheLfA/qiUA3qBf3eUD9pxf9Bw/UP skeoPq2HfM587oAx/UP19SHIa0O15Ci8PzwrFx8FxoZq0ibIzaHzvQD5on3b BWMHhmrwj6CPCNXmn0IfGapzoyCXOwd64/0Y2+wEfYDXPRt6cahGngH9hlDt PA/y2CxOvcbaE+Ln85AbQnXumtB5eBaeg3Zps0/IF/RDYciP9OERkOeYaxdB 3xLKvYtDfqfPLwn5l769nTEJ1Yaj8a5lFp+PgTzXvB4U8gX9MBn6BVk2r4P+ g6w+PDzkR/qQ++B9gneJYXj3/aw+eSrk4FAfGxJ6pn59yKf0540hf9FXo0P+ oq8mQD8vqx4UheLBWFwUyi3mFdcZGlqrOc+RVdcmMp6hXjgl5Bfun+eYZP+c DH1WqNeexpwN1fAVkCtD/eTh0Jl53lshHwzxbzdrRuh+UAr5gLmzCvJC864s NIfjN0Ke7zw/A/LrUN9ZBnl66K5wJmTKqqVnQT84q7YzJi2y4tI6K36MXXvo 00N+nwF5SVbt6wg5M3TPYF4clpUbfSBLQn2Y+Xunc/hMvK8I9fUG0HNWTWce Tbav1jLHQ3Ur8P27UE/7Bvgi1P+a4n3DrJ7UF2ibVftWM0dC9ZZ1i72WtauK 78zxqzH2ptBdgDG/ORT3ntAv85i5If/StwsgHwnVn3Mw5u7QXeTH0O8I3aWO y8pv5vbPIOeH7ijnQ18YuvdcCH1xqGYvgbw0q2fcB1yedbc4DXJO6B7G/XJP 3M8F0H+YVftYV1gLWAd6hbhNXu/hOqE7xC7InaHft1jDtofqGOP/rXNgL+Sb od+99kG+Fbpz7Id8O/Rb0cvMo9BvXTu4r9B9hWc6N+tc9MdZWT65KlQ3uRbP +vOs8zJWjR2vRlk5x3xjvTzSNfMyyHtC/XYrcHFWbX+S8Qn9z/Ms+e2YFmTl N3ObOVIvK09YX2eHaixr9rZQ3X6X3Ardh07C2M5ZfY61eV6otjD+vezz7qH1 uFY15FOh+yB5f6i5zzxd51xtlvU7Ju85/89r5/YzjE/orlg/i3vkHXlwehYX LoW+JnRn6B2q0azP5DH7Frn8EfQPQ79Bvg/5Xuh3yk95vtDvmuRomyyekitf mS/k6AlZPP2cMQ/9ZsmadGJWXfqAPg7dC5mDp2Tl4ZfM6VC9+oz5FbpLsSa9 EqpLzPefZOX8+BDHyK+ukPeH7i+3hOoCa8IB6J+E7rWMDfs477bk0/eyOPU/ DA/YLw== "]], Polygon[CompressedData[" 1:eJwtlXnQV1MYx3+d50qTrfIqZLxa5hVZUiSTYSSKytamtzAaoVAmZTcyzDRm MqPJGJOiVVoQUtayJVtpT/uu0qo9LXy+8z1/fOZ8n3PPPfecZ7v1eva7q28q lUqDoYAWUSpNhx1MdoTb0DfBCvRGOIVF1aELuhrzVQq/2Am7wD4ZXQ2qhtfc zngzrEJvgmPo45DC7zRnPAAlmIvdjPEv+Bf9K5zFXmVwN/pU5tvBD7A3n28d ehMcQY+Dqqw9CTonnyGho/DZNHeQcT+8n/zN9tAKFmGvh8fDd9Zdv4I70G1g DXoz3Jff0dqPYAx6LMxDvwtHdfbw2XTHgWEf6O4z4R/0bpiAPgFXofeE9e8w BD0FtqAHwc7wGj07Dh3QN8JS9Aa4Er0djqF/g0noyeGz9ZfPuPtphWPVFfsl xpdhNno7bEFvhvHJPt8YjoF8L5+uQTeFX9CHYAL6PfgxeY+l6CvgZ/QBmI9u Aj+h98E89IKwHgUfo7+EXei3k/fqwPnOy3t+wfg57Exe82w4BvL9d7A3nDPK lf/gE/SnsA49Eoajn4e/k2M2Fd0WhifPbQ37TL46qpiFfSJfaI+30E/BtuSc HY++lfOdrbzDroE+o7AvqzP3oXwdzpWh8Ca6P2xNrhl9uyPr6+cz7NDZ5MPk mF2tXFTOoyfCQq0P+2oOzFXslffJOd8X3ZL9lstX8AJ2a+y16O/hAezLsZfI N/A09g3Yq9Gz4Ans67BXor+GR7BbYP+JngG3FI6RYlNHuY49jfEd7LqMvZWP zC3Dng7dsC/ArsFYE2bo+zn/1UPq8exV7DKoBYfCd9Zdqyg2PB8R/lbtHPtB 4bsoB2ahZ4ZrS/u1KZzjyu2yXLsXMXdmruG6yiU4HbsS+x7GCuyF6A903sI1 ptqqYOwODZhbgD0FuqOHhWPZmLEH9p3h3LpMtYz9mM6JXZ5j+2LODcW4Jnat wrmhnlWJfh09BN2I8WLsOYxTk8/cDntU2LfnCuxzoFvyHe6HS7AXq3agNrpO 4V6oNYPDMZDv5yfHojL7WjHpCucz9wfPJifX5mLYn1yjS+Q3GJ08dwLdBSYl 97RrebdfONeUM+XqxeG95LNW2M+Ec0s5uALdGcYkf/NCnt8b9r3u8Fo4BhXZ Bw3RPcK+V4yuwX40nIvK8VdyTin2e5J79+Fw7qiHz1avyXfXmXWXZeFepDup 1+4L9wr13JXoteFeNja5FneFe6tqcmTOSeWial69cVu4V6hHjs4xU6zUs94I 50zjnBPN0X3CtaGaUi94Mtz71RM2hP9Z+lcdTu6dq+Bgcg9tnXOsPOdMJ8bl 4V4gnzbj2cPYnyX/A9Sb14f3Uo++nucDwrWtml8dvrPuqm9MDPtUvlTPacL6 XuFeoZq+FLtnONfUQ5piP4Q9LfmfNDSc043yGb7NNaLa2K2ewvhN1iOSe+lz 4d6tnvpg+B+mf5f2/B8YuDEj "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgf811MXx3/V795vsrJXIiNCZM8Gz4NsQjYVKmnZ8ZRsUkZkJFtWURmF klGKRMlIIqNFIv0bGk/j+byf8/m98np1Xud+7zj3nHvPPZ9zfv3rtenSonP1 Uqm0RY1SSf9KF+RSqVFRKr2aSqWrRBeWS6W2ol5qNxVtKuotaibaTHSN6CKN txNtqPYF4peK7lS7iWgT0RWS2UEyj1G7h+hijV8uukftI0Wbi/4jaqO+DqLr 1G4l3l50vdqtxS8T3a52Y1Ft0fei6aKtRN+JrtX4jaJuoi6irsgRdfb3QFF/ 0WPomqKfNTeIrhBdKbpP/VuKthBdbxmM3WRZyO4uukp0tainZTD2H8tg7DnR o97vFsk6QrSxqKfoEvV1FN1seezTy7LY5y7bwfdtlsueq1L03yl6wPNYV11n u1pjW4vutgxk9/Vc5j3ouYzfI7rVsnt77i2iPuaMPeQx+p4S9XPf0+YP+xzv E90vqiEdSqJtpMPaFP39Le96n/Gt5tjzvNcPsOy7vd8Ay0P3TinO8Fnv18e6 P2l7WPe453IeT5g/aBl32P4XLJe5X4k+Eo0TDbJt2PSy5fL9pugl971kuYy9 IXrRfS9aHmPbSs9nxF8Rve79GB9uGewz1D6BD75ajvnYNcScsdd8LqyvI5mD xd8SvW+57P+O90HGKK9H9kj38T1aNMzy3i6HHNa867mMvedx5H5om9H3A+/D 9w8p9ue8xlsW+/+o/hmi7VPIGmi9x1lf5n3suej1mffDjonWj++pnveJ6FPr x9g33o+xCbaTsc8tAx2/9n7M+9YymPuTdBorPkU0yXOx7xf1/yyqK5rmuew5 U/Sl/eIXr+N7unVF95la8wWyORPrMclnPco2fu+5n3v9WJ/bd94HWT+XQw57 zPKe2DFb8meJdhDNsf1TbdNI7zHbcxnrkMK3eWNzPZcz+NUc+xaIZnBXonop 2n+KlnkNc+dbb2z6uxx7M/a77WfsL8vA9qXWg3nLLeM30SKfHWe50HOxtcqc sSW2mfUrvG6e6CTp1iDF3P96b/Q6Tn27ptC5ufjOoj/UPkF8txR6rbQM1hyv vvop7D5RfPcUupwivqdosdoni++RQt/TxBumsKmZ8YfYfar4Xin0XWyb0LuF +vZOcU6ni++T4iwPEN8/he7ziFeirqK53KVoF9H6oiwqRC1F+6XQ/UDxNeLV WU8fOouGioaIyqIzRfumOLNa4smyBosGiUr+rpZCzhui10U1jcvgNvjd2DgM DoKn4Cr4Cr6D1WA2uAz2gsFnqN0oxT2Dy2Bva5/3d/YPMBrMB/s3SoFpYFsT 5whgJ3gHzoP3TZ0vgKeHGw87lQMbaxuPjzT2gqF8g6vgK/GbuEic4Z7AkApu w8EYMHCV30ZX93XzXLAO/OniPuSyR/d/yGIcvAJjwcw7PQ88BYunO8/oYZ16 ltfhdK/yOjwGfyr4DAefwFjwDZxDP/DpPu8JpvXxm5jm863gcW/bcYtl3GQZ vaxfX8uir5/3vjxFjLjXMsBOMLt9irznGst9yGvABOLrKJ9NZR/0A6P7Wy4Y +ER5XR5QyQue8hhUwcwKHoORnVNgOZgHnoN1z3rsRd9rX38P8LoKxrL3QK95 zPc/0HsO8n7IBfvAOLAO/HnLa7CNOL1dCpwebBlg3zCf3QDLHug+1pDLrP1H /jHEe6AT+Pi693vH+73gvtc8b6THsONNr0HX4f4u/F5rGENH+w6IKy0cZ8DY H4xnrAHHwDMwEJz5zHIrfe+5b6J1qfRxFmDlR96H8U+9bpJloS9487HtGe81 77hvvPVjHdgJlv5kXKQPn53mPcC1L70GvKpg9dceYx9wCtwa67lTvM9Ur5lg ed/aJrCogsnTvd+Oxkyw7fEUGAA2YM8PXjPKstgTjAXLwTP0Bpt+sl7g0izv DwZWcHiOx1gD5iywDcydWV6Hu3Ot72/+3ikF7v5h+5gLDs6wjD9twzyvwabf /Y1OC70fa8CrKo+DMyu9fwWjKli70PriO0t9pr94fLb7WPNEChwFI2daxiLr TbwH1x5Jgbtg8Fz3IXdACmwGa9F7hdfMs14rfO7zre+TKfAYjF+QIv/i7J9J gc1g7XMp8Bh8fTYFBjc0FlY3Rj6dAr/B8oF+I7yV51PgcSPjLdi7thxYOsjv 66AUWAtGvpAC28DUF42v4PFLxub9PS8ba8Gg2sbNQ1PgHBjHGHi8nvEWjOdN DzFn30NS1MPga1vxw7we3AHjqB+XGgfZp7rXZu+3iTEU2tS4CYGhYCC0+T/k bWmZ3AM2cRfVFMceTFGXEfuIgcSti8T/7ZjYOkVdjr9eKDoqRS15Toq4ybpW 4kenqEvw4R38jvBv1uHP56Z4k4z/7rnEnj9S1Aq89fNSvA3WLROvSpEj4Zvc +RL7Inlald/Jrp7Pu6nvvXgbvPUF9nt8mb6nUuSUlfX4HePYxO8EPfwG8LvF 9n18apH9e2/rgr/jX3/bv/GvZfZvfGe53yL+wnmTB75s/3mL+0nhL9z/wSny K+r0o6zDxeJt7Jvc4ZG+x2r21er2FXymo++8me+dWvtfKfAd32xsfzk7RV5F ToVPHWG/wnea2n+29b2DmaPF300RN+vZB7i7t8XPT+vy7mN9/qPER6Z4/3Xs D4N9P809p77HuaP3xd9L63L2431fH4p/kCIuHORzwObdPfcv+34T+38Dz+Ue x4qP8R1/LBqfIo5MEH2S1uXvp/h+p4h/keLNc88n+64bei6+MFH80xQxaLJo UoqYMk70kdc0ct8y+8hp9pPPxT9LEY/29T7L/f6ILfjLAyne1db2j5b2ma/E v/Q8zvIcn+cetg//5VzOShEDud9LfMffiL62LO7nPJ8/75W3va3v81zfKW+u te+5ue93Z8u+wPLpu9T9f6eITeSL5I232q8u8zc55K/i96fINf92P3N+S5Hz PcLbsQzy5ZxjLnllxxR5Kj6ML5Ifkmfhm11S9HWxnGe8F/NvL4fvd/TaK1LE /FXliPu0qYmobahPqE0gaiHqIGo01qx2POedbuQxaiHe6dUp2m1tC/Gzk/sY I55TQ92Qoo5C9rWeD+ebuqhbCh3aW5du7m/t9ehIvkiORl6GPPqptdr4brh/ aidqszbmN6ao0+B8U1/xVu5K8dap17pbDljV0zJuStEmnhAbbksRP4gNd6eI McSSO1K8P+beZPn43M0p4gpxqE9aF7fuTYE/3NXDvvdOPjfy5772E+6ug9v/ r4FSjG1t/oDb2IkNnFM/y0Fmd9vWwf0PpcA1xvu5zf0/ah/o7zZ3/Y6/aYOv 4HUtjz/m+RA5A36U/JtqD+u5xjpjD3UBdclq96MzteGKFPXhcrd5I+Q8S0ST y5EzL06RN1fm8S6KHG8DuX94zphyYOgi0QjrU85R3/JbQZX1BCfIk8g3wNM5 7i/8eyxvZKXX0F/l9kLTSq/FNmRTUw5yP/Oxb7XHu1o+b62d9cfGWbaR3JoY D6ZUcAC8AB+mid5M8bsENs2wXcR1sIDYT64INtAHDoAd4Aa5/WjLJnd93+Pk oqO8zwzLpV7iN5Dhog3MR7hNPCNOdbL+fHc2Vi51f5XPEdvnuE1+0t5r23mv H63/Yt9ZpRaCk3eTP4OjzW33G7YdmXN9hpzZLPvGjoVyqiLy363FtyriPLYV 36aIvGYn8XpF5Mu7iO9cRC5cX3zXInLh3cV3KyLP3UO8QRF57l7iexaR59YV 376IHJz7vd8+XEd92xWRax8ufm2Od7O52psVcQ+bim9SxNmv4o3keP8Hqq9V Dlv3Uft8tV9Rez+1L1R7mNqHql2zCNt7qe+QInCxndrVisiNthTfooh75mxm +3w2VN8GRZzr/BRvY4TfFL/t8l7AB3CCGENMIHY/4nNeYP/kvn72/Ps9n7i0 g/cjp4WYSx1W1/O5286WSWzrLZ3bOw/7y/Ine90Cz//TvjHGOAX2dLWPoj+5 8aPuX+33jm117E+sHWuf5K2ucTxhv7r2yyr3M5f9yLNXSq8VOf5v7XX7Hv7P ffC7IXGuqcZ/yYHrx4oXRcTuWmrfngPj+P+6K3PkEZerfXWOXOMytTvlyFnW wwdz2Nde7ctzYPh14o/lyCfWF383Bz6205zLfG4biH+YAxOHi9fMkStvLP5F jjh/nnjLHLa2xudz5DL9xDfNgUvcNXUOsbm2+Dc5MOtW8dty5Dcbio/PgcUb iU/MgY9tJfPiHLVaSe1mOeoEYmfhmIxfkrvzRsaIv5cD5x/Cvhw5+vfi3+bA yynin+fAqzvEL7H8syX/+hy43lr8oCLi00Vq76/2a8xRu3YRmPSx2mNz5A3o U8PxfDTvMkcuMlX8yxy5AGdaw/8Ht9o693DeVXgtuFN2/yq3+Q0TntzP2mSs 4S1lr13rNvnbZ+Kf5MhZ1ref4WObqG96jhzjGHCtCJwGD8EL9sdO8IB4SG5N jk3Oy/83f5vid29iFvkxuTExi3y3peWAteDOVm73sP7IxhZiJXXCSR7/3vP5 pnZo4H2Gea+a1p/au47k1M8RE6b6zVTygsGeP9i6lk3U/GDoUNtW031D3a78 LlDTew71uje1T+McNSLvdobfOzhGLPjBfl2yb1N/UJtUfvegVqEPX5lqPZlb zT5wvs6+bo6a4FTxk3PEjVbq3ylHrX6S+Ak59qd2oVZqZD3Yn9/zwBjqHGoc sId6ifoHnBjnO+SeqGX29T1Rm1ADUWNRl1GTgW0T3Af2UL+dYlnUXw39TU1H rQaGTbFe7E2dRe21TPouz5GDXpUjNhGXDsbGIuYdoXbDImry03PEDuJGixz2 Y/tCtf/K8XcNN+L7OWos7v8o+8CO4g1yxPBF4otz5MqHirco4rwOUfvUIu6G WHWN4xXvnvjC29+PuFiE/zXPcTfcSz2198iBHQeJn1jEWXTMEWeJseAMcZP3 Tby5yzGnQ46YS7zdMwe+gq07qL17Dnx8VLx/jrrxzhzvk7d5dw4MBn+JVZMd rybkiJXEye3Fd8uBobPEZ+eoGd4SfztH7TRf/Pccf+sxV3xOjr/R+FN8QY6a 5Gfxn3L8HcRv4vNy1BiHiZ9RhN8crnbLIvxmvRyxFRuJMZ86zuySw05s7Jvj 7rn3STliOvG8IfvkqGX3Fz+miPhyoNrHF+GLjdRuVvi3CbU72//BsVpFYNle aq9fBC7DH87RPpPzyFEjE++/yxHz98VnishlNxY/K0e9cWQOXCFWfZUD28C1 08S75sg7RubAXTB3rfiaHH+HQowflSPOgzkf5MCdGeI/5qjHloovyfH3OODA 1zmwABxrm2Nf3n0Xv/0DxJsX8caw4wzbso94kyJy9wfUPqeIGvTcInAUDN1b /Igicvqn1H4yx+8B3XJgG7g2LQcGg7+Pi++a47fPJjniHbEOvB2R410QN4mt xEPewSl+C/jd0fa9e8XvyfEbJG/xRL9HfPw4+/n7OfIMcoynxctF5IPg57gc GFqjiPjOuyb+3ZcjDnyUIxchD/kfrRknjg== "]], Polygon[CompressedData[" 1:eJwllnn0V1MUxb/yu+dioUlImpQkzaWikjQTpUFpUH5lqCi1RBLKmDJFSvNA RKaEolKhUihRZpmSMZnHDJ+99h97rb3ffe++e889Z59btXhEt+ElCoXCC6AI 7IxC4UNQMhUKE0BZ+LWgN/xSXvgD/hs4DH0b+FgctIBfDy6DD8iFwi54ZbAA PR8Mg18CRsOLGd8Nrw5eRb8GxsKHMH8X+AWM70VvRb+B3gbGoYei28ET41PR 09Ej0OehP0VXAqehS6CnwG9ifDi6P3onuiJ4H/0BGK/1MD4B3h0cg+4L/oUf BQ6H3wnawCfpH/C7wVz4HHCx1gu+gJcDLfU/MAs+G1wIP1R7gG8J7017+EZz g1Pgt4CJ8FvCazkZ/Qv8SHAqfDJYD38ZXMT4GPRm+Cb9v8gx01l9Eo69zmwd /EVwRfI3n8F3h9dWCvwI/zU8d1mwH7FpjT5CsQMt4c+ApvBDwIrwnrSXUWAJ /Gi+mQ8/ATyGroJeCK8D/kb/F45dOfAl/NvwXksn585f4PbkHFoGr833i+GN wHfoH8Ct8DJgJfx55QR7uRz9BLw67z8Arwce19mh74fXBWvRaxT/IsfgKXgt xh+CNwSr0KvDc+mdpowtD+9tOVgKr8mzB+ENwJPoGuhF8Ppgr2IFWiWv8Vmd ZThWzcCD8DK8PwteA/RD10UvgT+anCtfgZuTc0a18zm4MbmGBsIb8/4y+NPg WPSB4dxQTp0Hb8D4E1ob+DocY8VWc/4JLw9aJ8e4AnxeOFdHs99mfHtR+KyV 0710tjy7Dz4DPKR6Rs+GH6caQJ8druUqYFc4p5RLWvPDylfenws/Hjyi+kHP g9cCi5Xv6DnwmooBuhJ6Aby2zhj9UdhrmoNFiiXj07V38H04J5QLE0EfeN+w d/zLfj4Ne5S86Ybk2mwV5qrRDfCN4dpRzWyHvxX2kmt5Ng5+Ynas31WMNT/6 g+SaEFcMFTs9k5dURj9bZE+RV3UNe48863h0T/BWcs71gjdnfDt8B+iRnWPK rTfBOdk5qtzUO/r25PCY5miUvUatbanOBN0dbEvO0cHwM8PetifZW6uj9xXZ Y+WNVeQJRfbIduiG0vCXtEd0G7Au+QxPyz4zndVa0AHdSB4EX6+az96T9qKa LZ89p+bSmR8LPxtsTa6ZQfDT5Rnwb5N7Q9Wwt6tHdMuuMdXWG6Btdk4pl7TG +uir0e/Ia0Ap9Fj02/CZ4Cp4H571V6yTa2NAOFaqEfUCebi8Wz2hCbpY5wd/ JrnWzg9z1VxLdF15Dnxlcq3/BCYl1/zPYQ+Vd+qZvPr3cC+UZ6v29oE7kmvw n7Anygv1TLXWO7x21Zxi3yAca53BwTp/sCK5Bupke6S88WFQOnuNWps8phW8 HuOr4KvBKdkeJO/RM/XK9uh7k3umvKh/OJbypEC3lWckv3MuvEX4X41Bi+ya VC0qJgegDwQjk3NsIWMdwDT0cJAZqxjuzXpWNnuNWps8pX22R8gblFOt0fXR L8DXJJ9tvWyv1BnfhR4J2sPPB7fDLwHt4AO1Xt4dEz774uRcaZjtjcqZK9Al s73tOXA9+kr1E3g/MAM+New9g8E18PvCXHeemfCeoFryN4rVZNAmOWZFzL1/ 9l1DdxydXZ3w3DrDm+T14d6gHnZ/OGaK1QjQKVwjqg15SudwTauWVbPXoTuC CtoruDHsgfI+5bxq645wLFRjO1QbYW8bpp4ZvuPobtMBjIKP1xzJMb00/A/N rZi+J68Jf6s7kt7tFvZ+fXMQa6uN/qfIOTAkfMfT3U4xqcZ4F/B6co/umt2z 1au3JHtDszCXR+jdpujXkr+Rt50U9gJ53FnZPV69Xe90QjdGb4BvBOWyc0i5 ox5zanYPU+9STlXI9jB5l+4sHbPvMLq7aI5h4TPRWbQFVeWn4NXkO0XF7H/q X+pZ1cI5qVzUnbGSah8MSD6jacql7FxTjHqgp4RjrxzS3E3Qm5P/cY+8KZy7 g3Se2T1SvfEV0Dn7jqW7lb45A31ieGwTqJz9TFx3MN0t94R7pe6YWtvQ8N60 xv8BW7t0mQ== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0jdWlQEQBtAf0cKCwoLCwuIVFBQWVBb2LIAlsADYhhVIVpAkOQhKFEWy oKCA5BxFCQJKEEEU7juvuOf7pplizoSSU5NSooIgeMQDwv0Wt4nhDrHc5R4h 4ojnPgk8JIM/nNMXRBZlhUNeyL/0c8OcLbvoppFLXvKPTHr5zxVnNHDKC37z jhPqOaKOYzr5RS2H1PCTtxxQzQ+q2OcNe1SyQwW7dLBNOd8o4zuv2eI5m5Ty lXY2KGGNYtZpY5UililkhVaWeMYCBSzSwjz5zPKUOZqZ4QlT5DFNEz3k8ooc brpvNI/1CSYZ4wvjpPOJz3xkhGHSGOIDAwzynlESg8hvXAOy0lzk "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{262, 261, 265, 502, 493, 494, 492, 496, 495, 432, 498, 499, 497, 501, 500, 433, 504, 505, 503, 507, 506, 434, 473, 551, 466, 491, 454, 489, 453, 490, 431, 264, 263, 262}], Line[CompressedData[" 1:eJwl0tlSj3Ecx/HnX7RIlkKWUKhJKhWStEoLo10RnegCuBxX4ahdkZaZtMqk ZSKl/SIor6aD97x+n+/p8yS3v2t8GwqC4L0+eCRqQqO6HBYEuwc3XtJjjdjl 3OFFXtAjDdtl3OZ5JqhUQ3YJt3iOZ1WsL3YRN3mG8SrUoP2QG4zjaRXos/2A 6zzFk8rXJ/s+//AEY5WnAfse13icMbqrfvsOV3mM0crVRzuHvxnFSGWrz77N FUbwqLLUa2fyF48wXBnqsW/xJ8MYUrq67Ztc5j/9VZrdxSX90JieuHWwkhWq Uqddzaea897XV+1p/ODjuc/zKid5hVNM4gKvcZrJnOF1LjKF33iDs0zld75R jWpVp3o1qFFNeq5mteiFXqpVr/RabXqmQmWEDv+r/1c1Qcg= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWQVmUcwOGzAQJSEiKIlFICgqRILOyyAWyD7i5LLtKwC6jYwgUoYYBB KNwQM6RxA+iFzkgq3Z1KN4oI5vOOF8/3e//vzHfmO+8589UvKsktjomiqI6P 5nFR1Ds2ilLio2i79Q5+YEPYpyXrmMoKltOBu/zBb/zOHdpzm1+5wS1u0o5r XOcyV7lCWy5yiXNc4Dxt+JlfOM1ZztCak5ziGCc4ztMc5BD7OMB+WrGbPewk l130YS/TOEJfDvMcR3mHOs4jTx/TfK2r0/VxLdQG2l+f0JnaSAdoQx2ojXWW Ntch2kyLtIV+EM5VX9CndFj4rfphOCsdFc5GR4cz1Y/0GR0Tzl7Hakf9VDtp sT6rJdpZ52lXfVG76EuaoAu0u76q3fQ1TdTPtYe+pUn6tm4j2XqKrucbvuVr etpfqGm6SHvpMp0cztY6Tb/iTT4L524vVbN5nXzzG/oK88kxp2gWL5NnnqQT mRu+Z07WTMbzvHmCfskXfEyhvU90KePCtcw9dA2z6Weeoz/xIyPDe2YvSTMY Ht4j84jwnulQXc17FJjf161s4UlzUxKt0xlEE/NgXcVKUs0ztL7203paoO+G +7DurpvZxMZwT/wTnitLWMx3fM/a8Py5z5/c42/+Cs+dyPVi+Nc6TmPpZF1K SxNPGR6gs/1y+iBlqUB5utivpJWpSBUeoqv9alqdqtTgYRLs19RaPEJtHqVb OGv/J7nkkE0WmWSQHvv/f85/cnyF/Q== "]], Line[{841, 668, 793, 670, 949, 948, 1100, 928, 1099, 929, 1101, 934, 935, 898, 899, 897, 927, 1109, 842, 1108, 926, 947, 946, 961, 849, 1116, 960, 955, 957, 956, 841}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0Es2AgAYhuHfOSVEWEKD1tAxyA5MzN0qhllFtAEjloFuqNzv0sV1M55z DJ7zjb83W9xdrUxExArriYg18smIqcmIEwocs8wpJXZSEWW7R5UZWrRpcs4Z aTp0ueCSHrNcc8MVd9wyxwOP3PPMExleeeOFd/rMM2TEgA/GLPDFN5/88sMi +9TY5oBpchxxSIM6eR/rOixR1qREkS022Uj89/oDfiEuPQ== "]], Line[CompressedData[" 1:eJwl01dvTnEAx/FTWr3hQqubTnTYFEWNotVSSmtE7NkqWqOJGztubBKxEhSx ahMvwBvwCmpvtTe1PicuPs/3/E6ePMnzPzkZC+sr6yKCIIjwsT4yCBqIjwqC 5HZB8Ie/tPKbXyTxg5985TvfSOQzX/jAJz6SwDve85q3vCGeV7TwnJe8II6n POMRT3hMJ+7zgGbucZcYDnCEw2xgI7E8ZCTHOM4JUpgVHQRLdRSB6yKN0Got 0O26gzG0sUdrdzrT1o6k0fVJllFt1+hOxtLOLtEoLdZsuhBtj9NTnGY5Ne7V 6i5SmW2X6iZWhr9vr9Dd7GE8i9wr0xzSmGPX6QQmstgu11zSmWvX6yQms8Su 0DwymGev0insJZP57lXqZtZQa6/WfWSxwK7SLTSE/8Veq/uZyiGmcZR1bKUX Q32vPR04Yxdqbx2uHYnhrD1C+4TPT2PpxLnwmWlfLdI44jlvj9Z+4TPTBBK5 ED4P7a/FmkQyTXaJDtBxmkJnLtqlmq9l2oVULoXnrgPDM9Y00rlsl+ug8Nw1 g0yuhGetg7VCs+jK1fD8tSA8a+1Gd67ZlTpEqzSbHK6HZ6lDw7PUXPK4YU/X YTpDe9CTm+EZa6HOJN973Op9bqGZO9zmFk00cpDdbIv8//7/Az43ciY= "]], Line[{1334, 1281, 1285, 1289, 1290, 1291, 1292, 1462, 1634, 1846, 1633, 1844, 1632, 1845, 1660, 1843, 1631, 1841, 1630, 1842, 1659, 1840, 1629, 1838, 1628, 1839, 1658, 1808, 1624, 1806, 1623, 1807, 1654, 1851, 1686, 1803, 1580, 1802, 1700, 1801, 1800, 1849, 1579, 1572, 1890, 1653, 1622, 1627, 1626, 1668, 1667, 1882, 1657, 1880, 1656, 1881, 1682, 1683, 1379, 1334}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 1.0999999999999999` + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/( 1.0999999999999999` + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdQVde3+LGL0YA1KhHFAhqxhCA25KhJrKiosYIdjRpFjESsscSODURi i0Gxxd5R1FxbULEhRRFQ6VIvRUDFws/fzP2sM3OcDM9ve+/N8687n1l77bXX Pbusvc/ax2LstAHjSxsZGXWqYGT0/38Xzn3b0nxpjG7MlV90I+yPKt/86RZ5 dFC4sEnpP58vcwwWHmo+p9qx03uF0R/e/VHMxS6XRR9GH0YfRr/soRcPBoy/ Jfow+jD6MPpDjCtN/vGbcNGH0YfRh9G3Pv/ZxI6Do0QfRh9GH0a/1LQmE8pO fCT6MPow+jD6GevrHE+xjxd9GH0YfRj9QZMbfHnzr0TRh9GH0YfR131tdfRI 3xTRh9GH0YfRb1avZSvfB6miD6MPow+jv6HQ9vCs0RmiD6MPow+j/+ZuxxYj 0rJEH0YfRh9G/+R3FvcbtM8RfRh9GH0Y/UmXdtXcMD9X9OGEbXaLv5/6QPd4 5o4qrcZtUhx1ffrnz70jjD68e6WL/Vcdzr9X/tNPEguGxajtQ077YNqnlaNP fbTvcNzSXZ1cQ3T2KVeWzrTOVeatmzx/2Kg1utoWmYubDdqjfLl6S1TX2Q91 1of3D7J2d1c2HAprvnpMpHDBnUoLInveE6Y+WMaXgac3KuwVantZeOKtWwl/ VTopjP+Vmv1+LntUkPgD0z67md4XLPueEn4Sc/Dsmek60W9VlP5w5cBrog9T /mqDpOG7Q64KbwnPHeoWe0P0M1uVyVhzLlT0Ycq7LSse3FZ/R3jntmVfGBmF if7lBNO0wbcjRR+mfOWZa/5IWhEh7NnPt+mNqg9E32+j+dP6T6JFH6Z8fNOt ew9teSjsWHqnpU+jWNGf0sM6OTXniejDlD8ds2/3zIOPhddHD/E5tCVO9P3f bMsduihB9GHKd+sec6/+k3jhohMjq/o0SlSf34MA906VktXnZ2DKH22Q4FR2 YpKw65rx62ceTBZ9j6P7sy02PBV9mPJ1i1LvpuakCN+ZMMXEuU2qOn5WHnMr /3m6Oh4MTPkl4dl9b89OE27XecZa5c900e8x7kxW+q5M0Ycprz9YePtYaZV3 1plTpXH3LNE/bq+bcrdFtujDlB+67I2jn5deuMqzhasrhmaLPvML4yW+VekJ nVblyHiBmV8Y3zDjm/pZr2HWX5j1FGZ9hFnvYNYvmPUIZn2BWS9g5n+Y+Rxm fhb7hvmB+S94uS5zgWOyA/MbzP8N738RVDqiSYj8H8jvPXPKGTFMnU+fl3Vo uXJzrlJx3gSX7snXdClPS1fVj3j3/11admVW5wcOJkuijusnrxKOHpQxesb1 HcIRMd53FvkGCneeeXDfiOYXhH0HuiaGZf0lHOI/PbTz2evC22N1045XDBXu 8Eu3CZPc7gl7rLs9dW7dSGFTu+9cbRbeF+7RNeaHb6yjhZNSx4x95R0jbF6Q OqmKwxPhR7fbtk7oHyf8cuCrrzKsEoS773U4Ehyt8rgWpU/cPZokfGzhty0P jEsWvl3e2OZk+6fCZsMdD63LVLltnMmxTZfThJd+NdDa46d04R1na7We3ztT OLvy8AND36r8yYZ6R8ZE6IWHpYz+otPybMW6e9GUUcHnda4NrmRmRr7r/x6L PafuOqMzPTJyYHhgjmLrO7fs7HrJf7Ieoi/jwcAyHgws48HAMh4MLOPBwDIe DCzjwcAyHgws48HAMh4MLOPBwNp4JsRvfJBT91ylbPORSbrlF95b3+nP0v7M zF1P4vcr+zet3W9VHKCb1dXxR6/eOcqyt3PfRPmH6aqVCu2/4V35YIevSu1K vivMfMJ46lv5fPqkxIe61te8eugG+TvUqDw72MxE5ZktjtUZ/zxC+GiL/E4n bkYK0z7qq9bP2vv1iXsij+qbNuXwk1DhH+O6Lsxed0M4Pe76da92N4WJL2Dm T+o/2Kj9NHPjKyK3a3TCcvHoS8L6m922NBt7XDjh1oDmY0+cEqb/SPxh+D83 mXofvFnhhPo8/QcnG8delP4m8YZBXpA1Lsxz7xXhSeV/jN9aHCLlJb4wyH8f uOCO8c3bwpVOB+v9vMOkvMQTBvkulz7JfZ6r/fPxxIjMUQEPpLzEDwb5HBPn xFrGD4VPmiWkNz0VK+UlXjDI+16eGP+k7mPhb5965s9KjJPyEh8Y5N4dzk37 zk/t/0cu/jxjxJREKS/xgEH+qvplfbv66vxSZ8vSvC4FyVJe1n+DfHzW9an1 9qnj55cZq6db/pyqjnfWe4P8bvDdzFJfqvNPluOGnEoVMqS8rO8GeXv/+z+k nFXH3xDLLdOy12VJeVnPDfKA2Y/SQ7rqlezSp5O6n5mgi7C923FEuRxZzzf+ 8UVS5r0cpeiHHy1CnU/oWvgtbVrGW12vGa+Xz30ypFtotIw/f5dmw5WGUcKl fx5zaEWlCOHGj77ev+7MfWHGA+x675TNtBbbJZ5gPf3N+7RVrFmO4t/zdly9 ARulvwd6dWjvWXehcJgyccc31W5LfZn+W27saXBFl5Ia52lbV7X3bXha6/T+ Z3SspzDzFcz6C6N/vf6thNrN14s+jD6MvlauXd/h4ORSj1wSTirmLZsOKnc5 T3GZ6m9hHBoinP5sVPr0XyOFLY9lf/0k+JHwl4G6vpavEoTvblz+KrbaU+Gp Hv32bfgiQ/iTgZ8N6tU1WzhyU/ZCo0O5wo1XDHwQc+aZ8AzPwBaBVwuEL08w W+IT+ly46uAF0VNjXwqP/jaxdc/UV8JHbLsvb5z/Rri40YFHxcXFwvgfvuWA r2f5fPEfxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8X1GhVURa rwLxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/HfwOF7dZV2h +A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MP7D+A/jP4z/MPMv8ZHtoZV7K37q o1z1nNDmVv08pcFR0+tb/S8LI5+VlObh4PpMcay5qdO5BfdEviLM6temRx4K J1xzftErO0544Z5Gu0tVSBY2X5rR/4x5mvD5cSfeutllCbfYcSGy2t4c4Xnr Laz1x/OEby1YuvjGn/nCdaelRe0KKRSePLJPq4X3Xwif6XNsqXNCkXDFTjVj 7fSvhYdYz7apVvRWmP9L63/L/lNPHt2XL5x4IedZw6wCYf5f5lv+X/qbtj7t /Iuc/gfT/2D6H0z/g+l/MP0Ppv/B9D+Y/gfT/2D6H0z/g+l/Wn+Zf2DGI+sv 523V+yeVfzL+D8Vv29LdR+7kSn9l/WL/rz2fQ079Wv22MdsmHXU5KOsljL57 g1gbi84nhNf+tGiqefudOuIRysOst8TvyGHk2IfLBHjbhVS9IO37c22Ux4Az wcJFvSfe0T29I7y17OsNfl7hwu0Tr3Tu8y6OhR9c8soqcy5G+Cf/gVuCwp4I r9KtCWhXEC8cdTj3ZfVSScJNtw9yyq6cIjxzzdk9IbVThYPn1Xuzu3G6cI0p iwYuap0p7Oqc/IeLvV542O7GRp83zhEu9dvgA8Zf5Arv810x+HmrPGGn1UGl kts8E37xS+bBsI75wv5zzYde7FIg3G2GU5nD3QuF9ZMXH97a57mw39iTw1YO fCHsMDylrOewl8JJ/WsfdR1VJLy6Zy/nAeNfCdt2mVe+8w+vhWPbHT7WYvob 4V9ax7mYeb4Vbt60WkXj+cXC9B+et5xPGs6niJe18eF/9fxmj/f6l4Mt//78 Bn3iU+SynzXMR8TXzD8w8w/M/AMz/8DMPzDzD8z8AzP/wMw/MPOPxP+G+Qdm /oGZf2DmH5j5vKTzrLCgGIvgl0d18K3Oi9dF/LVHV9J5CuXt7ap9FnBY5YQn JyJMK6r15+zcOLjmM5X9HNvW+MUxT3iPSR2/5W2fCTueDRpYsF7l4fO2Rb6c my9sZOmw4ftIlU3T6teccrFA+LTPpbCHdQqFWZ9g+if9kfVK9uOa+ZT+I+dn hvULZn6Hmd+1+6kViwL22p2+ptPW55cZbhfrlKtEpNjNf/PpcbFX+o9Tlsuc f3vPvuOwITP7bsxT3BskDcgz2Sn1Md/yvP0WR3V/kHBV5JtWWG3zqaIT7vy5 adi0EYeEj6/yjg2fcPa99rGeafd7jO/3/GE+Mfy/st4Y5J8ui/163rJTwtu/ K/Vr6NCtuv/r50slnQ8Qn/J8zyTdsj9/KlD6x57WzWtn2l0STsgKmj5swg3h La0KPXtXuirM8yG+lfFa+uVX5/Vq/zYKjj518aEa/2L/fubSe2fa35L61g7a PT4xJFTY2nZqtS0JEcKVIlfV3GAbJkz8TH37Tgy43NPxvshDqrXRORVFCU/M ff1DhWqPhLv51J1m5Bqt+muIv6kvyT3BLHDuY5GXmTi28hPfOOGBQ4LHBvkn CF+yGpR0ume8MPE79Zl8draDz6BEke/o9sXZjQeThHPbrDWZfiZFeFT5et5T xyQLE/9T36GChU97TH0qcqVJ3njHq6nC62oMPm8Vmi78JimpU+PZacLsH6iv d0QP3+IlGSJ/VCaoWpnYTOEWz+pNevxUL7z1ysH06PVZqtyw/6C+tOOmXU5v yxa5Q+7FJ7Gzc4RTUvNWhSzIFf68f9DNHhGqnP0L9V3tkTnTLlotvyausd2Z pXnCbaIGx+/2eib8Q2fzho3jVDn7H+qr3s7pdtUUtfyjuytWb/DOF15yLajt ol8LhM+1WjyrOEOVs3+ivrFWJxtl5arlm+syE9x+KxQOP22+1iXgubBx/ZQ7 0c9VOfsv6jtWq/ac62/U8nMPO7Xv9ccL4YZ7Fie1PfJSeNinvZqcLqMy+zfq Myo/LzTAuEjkN347ua7JKZWnb0zpUP3cK+G9bw7N9TZRmf0f9fUreGK5oOZr kddZUzvF6JLKF5f08tYHvxF+nlk1bIqZyuwfqW970tfzh1u8VcfrvHn2sbdU NvU4/PRGWLE6fmN/atrDSmXmI/abEh9Mmzej5Vcqn7YZWWBjXiDl2Y8id4kt Pu7vqfLk3+Ntd48tlPWK+ZZ4McXn+aPh3XOVn2ttfmIy8arsryq/PF54dpn6 PoX9l9WbSSZFlXPfe3+CvWXN8k4+GJ8j8R7xLvEeTLwHE+/BxHsw8R5MvAcT 78HYJ97BPox9GPsw9mHsw9iHsQ8Tb/N+jXgbJt6Gibdh4m2YeBsm3oaJt2Hs 8z4P+zD2YezD2IexD2Mfxj6Mfd4fYh/GPox9GPsw9mHsw9iHsc/7SuzD2Iex D2Mfxj6MfRj7MPZ5P4p9GPsw9mHsw9iHsQ9jj/ev2IOxB2MPxh6MPZj6eZ9L /TD1w9QPUz9M/TD1836Y+mHqh6kfpn6Y+ni/TH0w9cHUB6PP+2j0YfRhyvO+ mvIwcm2+Hfsp4g/ez7P/gol/tXLexxKfIie+hIkPJd/OEN/BxGcw8RVM/4Zp L/ZpD+97kcPIeb8L8/5Wzu8M72exr5XzPpb2Up7xACOnPPq8n5X/z/D+lf9D K+d9K/8f5elvsDwvw/tW/n/06V8w5XnfKs/PoE//ginP+1b6A/rsH+X83dC/ YPqftv9o1yfkYt/AtB/Gf5jxDPM8tP0Fe9hnvUAOI2c+h5lfYeY/+guMnPmL /gAjZ/6BmT9g5gOeP4yc8c/zhpEz/nm+MHLmA85LyTfl/JV8Rs5zyQ/k/Jd8 P86Lyd/jPJZ8Mc5vyZfkPJj8Q86PySfkvJn8QM6nyfejvdTP+T35fPQ3mOdL efSlPxnya3MHdP8r1T1PWM6bDPspzlOI72DOU+nvtAd7nL/DnL/D+Afzf8L8 HzD/P8z/B/O8YP5vmPN3mPN3mOevfX4w5+8w/w/xJ/8v+cHsH/m/YMqzH0QO I2d/hxxGzn4NOYyc/RdyGDn7KeQwcsY36wfrEUx/Jx9Z3lcY1gP+T/J96V+c 15HPDTN/yvsQQ39mvqU/ke8KM56Zn5EzP9O/8Yf5jOdJPjTrEesXzHxF/yH/ WOIDw3oBM9/Q3xm/2Gd95v+E+T/JB2d+pz30V/KlmR9ZP1kfYPo/+dH0V/Zr vB/ifRz59Pz/FUxPBJn8nvve/orzR9YvmPULZv2CaR+MfzDrF8z/AzP/wFWO HtnQYVqurG/sN5Gz34TZb8LsN2H2mzD7TZj9JhyYP6FS0Ce57+3H4hcuabZ8 XrhSbbtzdmlndX1c2PPmtjYv09+L91P87TZdaJaguNkcuzHsh3hZ7/S3Ny2c Exst69vaV65hm2uEvRfv9gi9aHw3IPO9fOKGLuNMA949vx6BC91i7H10Nlb6 Vhtn5iquu5JPfdX1oNLo1qgK31TOUFY/9Do0q+sjZfOC7daOXyQo7fQnEwfd TlY87N1PdvwuVinTym/JbddUpXDN5lZV9eHKjlVeXn/Gqvlt/6785J0Zs4ct Cc9RrJb36zfIM7jEfGXL8g1NSzvkKC26bF+20u3uP52/7Fto0sNrvF7i4b1r Fmxp6JupDA/+ZVutWmr5v8tvpj83u76lia68mp/7j+Y7B9fu8JnVnhQZ37ND nJ1310hSps0eE9nQQy3/d/nQjL9N03qcD7ZPVia0KAou/3WiGl/HHa5Q78s4 pUX6uVND65WcPy3nB6PdLpzKfar4zTmlNH/2WOLt79z961q3iFIS3A58tmCX qv93+dbMH7ti1ziZub6Lx0dWHrzD577Mr3sunjnytPVdZeXAT73KfVpyfraf Sd6OJ9dDZP2oUXdxrWX2BySeJz7ifE6bn223+2rk7DVqvFRSvnY5z8M1q/6U I/Ez9U8YqNuuH3+jxHxuyc/pbGUTsb/k/G7bB0vn+bZOlfWJeLtheM6iOW5q fj3xdevuXmvrl0qWeJv1LfjTVa2WXHo/P5z1JfNYcaNU//fzxYm/N40JWGls oz5fbfz9Y5s3/gtXvp9PPnHPp4UHii++t36PbJd/yu5kllLa/e4Oq6pqPMp6 7nPBslySX55i+keVft1X5Srl35oGel35TSlnb1/p+1J6xXx4xdyL1+8ri37v 2HvAkixlzrV8/cWCB8qIy6FfxOuTlcMPh13JN01U9vn9/EjnEqwM8BrYr7Bd ljLg220dfYzV/jC63KGrux1UdjZJ+/1lv2yl8XKzhPGDwpV+2+adnhn4VBk3 RT8kame84liqok2jlCRlyGb7bZbRiUqUUfvb24pDlNFt99Zc81umElbm9PKp V4KUB9Uy8uNH6BV95+p17VdH6xzGllm+NlXdPy4/HGkdXuqZ0mBnzt6K63OV xkOjz+SlbFCK7O+kLDDJlfbkNys74urBY0rYvoxutno1/v/atPur/ef0Su29 9vuSUgNlP1A53LNHXo0oXfnGuwbU2KfG+8fMJ7ttupWnxLu3mbg/QI3vjRqb Xgt6x7smB5zI2HVAl3W0ZV2jb3Ll/MEy0Ln6r81ylYR1d5r1nKpT9qXn/Dro HZ9sWanlsVk6ZVKNls4Zwep5xJVJwzuE6XKUpck/VGh655ri3id7Z84O9bwg 8eKM7VunpCnrtlsdOdY0Ts3fqmSxozDoXRzgMNxz6eVQna13K8uARPW+Y+2g w+NWNctT2vlOcqr9Mkz2I6avHilB/pG6xTWmzmjwfZ7icVf3U5ZZhO7k4aFJ 8x3ylNejDq503/YunnhwfXzIoUDd5QvDjbe88zdgQM2yb2sd0mGf9V57n6Pc gJxfPws8KM/Dwinqpz019rw3n3D/gf5Nfat2fqJvMemcWj7gswUTgv4ULlpr ttl/9TXhxWs3OpVN+kv5R+8HMB6x/2fvJvunV78j9dk5Hsircv6u8Jkl9fZc KAgX/nlJ9KJpFioz/qnv83E7W1q2fyDyweOSB3hUiVL7a5dDxV80iRUO6jI5 JtYpRpj5RvJxGtis2DDxich7ru9w3908Tph4BZ5bPK9uk4vxwjK/Geq7oY9z N7qVKPKnbqV/sbJLEm47csLD0l1ThOs8/uZazINkYeZX6vv+9r56gYlPRb60 T0irx31ShSPtWy47OyxdOPB8ZQ+f7DRh5nvqK3fQPWTqqwyRN7L2ifUdnyk8 w6zQxn26XnjQ1ogGPSuoTHxPff62Rj5Ta+aJ/Gi+qdmiXioPzewa7Ob0TLiH tU0nZzOVu7n3K/jB9d36t6Vfmc2fnFBCnLbVrfJdrmK7terQufrTsr/FXk4j 19QeFvmib5TkMd1lsMr7YvZ83sulQHiTmd8GOyuV2f9Sn0P16w6NWxSKvG94 1LW2Y1UuDKk0o8nE58IplYrSqn6lMvtl6ltb2npjcbsXIt9+2d68upvK3YLc bhh5vFTHQ9GIzlkOKrO/pr7Y3HUZ0d8UiTzzmL+HfrbKvn+E1Y9d8Ep4Sdol v+u9VGY/Tn3W8c+6nHZ6LXL7HWVv3liqctImu5mBXm+EI6KaZAUMVpn9O/XN Cx2yydvlrchXrZ9osdtbZZsVW275/Fos3Pj6yq8XjFX5Q+8TBemmrH7+PEdx HRv+dm3YlQ++X2ScNuDUlFo5cr7w4sir7pWcc5Q35dstrPz4ttLSZWWA7fhs ZdauAUds6oQrWd/17R2Unq2crm6W+OXqe//j7if1NnHZuCw8Q6nVcXDtCUdj lN9DdplXaKuej3BecrS5xcj2WdHKomM/fx+/M12xTXasVdf0sWJd2ObxaCVd adnE9Y7P7ccf7ztp7jvZjnE4MuuTHcqYcwctu87P/rffZ+rqe3qY11b1/Xqz jplf1husvn+sOyo6IybpkuL+cn/r3rfU86k6yvSfXrR7F5embPXonfOXnE/V GLL2+NC3kXI+tW6q7pPrB/XKd2/X2TSpEamcrd7GZ1jfLKWdy67BMTOilDLd 6pXbEpmimK3rF/m9c4Ky8dC1wN9bxSuTnod7Lp+Zojhmrjz619fRytLpoQGb y6Upay/2v1ct+J4ybXNUnS4zM5Q5DjfGeNwKUW5sPv/K5d3/f7bh9vhxFomK sW7P8kyLZCV09EDLtSMfK2P2vj5b9/JTZf31E3lupvcVMyuruPld0hWHvkXV 9y/KUZpFtdrw4sBN5du/9A6evqmK13S73t2exinO+6eY3y2TrLyy/s0h9Epi ifc7iVf5PznPgNkPwuw3YfazMOcpMPtvmPMZGPucb2Efxj6MfRj7MPZh7MPY hznP0p5fwZxfwZxfwZxfwZxfwZxfwZxfwdhnP4t9GPsw9mHsw9iHsQ9jH8Y+ +2Xsw9iHsQ9jH8Y+jH0Y+zD2Gb/Yh7EPYx/GPox9GPsw9rX5C+z/aQ9Me2Da A9MemPbAtAemPTDt0eY3cN5A+2DaB9M+mPbBtA+mfTDtg2kfTPtg2sd5B+2D aR9M+2DaB9M+mPbBtA+mfTDt0+ZXcL5Ce2HaC9NemPbCtBemvTDthWkvTHth 2qvN3+C8h/bDtB+m/TDth2k/TPth2g/Tfpj2w7Qfpv3a/BHOo/AHxh9YzmMN jD8w/sD4A+MPjD8w/sD4A+MPjD/a/BbOz/APxj8Y/2D8g/EPxj8Y/2D8g/EP xj8Y/2D8g/FP+76C8z78hfEXxl8Yf2H8hfEXxl8Yf2H8hfEXxl8Yf2H8hfEX Jr7g/jv+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/9xvwX8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8136PjfNr8n9h7ovB7De4 34M+jD6MPow+94HQh9GH0YfR5/4S+jD62vu3MOelnB/z/kPu4xjOpzg/5fwI 5vwH5vwG5vwF5vwE5vwD5nlo86E4X4A5L6D/wJzPafPb2H/TH2HOG9lvc57J flryAw37Zc5j2Q/L+1wDc17M/pfxBPN/a7+/I/fDDfth7ttw3wc5z0+bv0Z5 6me/BLN/4f9DDmv3N/z/jD+Y8Qcz/mDGH8z4gxl/2uerff9GvM3zk+9XGp4X 8RD/N/M3/jKfwdrvK2rHN/8n+SV8X4/8EfIxyA/hPID8Kb7HRn4M5wPkh5Cv Qj4I+SicN2i/76bN7+ptbJxsUf2ZPG+Y8tr7tfhDfhP3tRnPvH/gecOU5/uI lOc8kfIw5cl/Yfxx3sZ8D5NfRD4M+uSz8DyZf2C5T24Yf3Kf3MDIGa/IYeSM b7mvbmDk9C/kMHL6I3JYm3+FHEZO/g75aNzvhrnfDXO/G+Z+N8z9bpj73TD3 u2Hud8Pc74a53w1zvxvmfjfM/W5tviLfy6T/871L/g/2h5ynkr/J90Dpz9yn gfmeIUz/YD6FGe/Mn8yPzJ9yn9EwXrTjaY8upKzzKfU+o8zXBqZ++hdyWOYb Q/+S7y0aGDn9CzmMnP6FHEbO/4kcRs58ihyW7z0axrfcbzYwctZ75DBy1n/k MHLiAeQwcuID5DBy4gXkMHLiB+Sw9vlzX4znL/fHDM/baObqxr5DVHa27vvN 7Zf5os/9MfTlPhnfR00wcS2/TWXTzfd+URzU+2TEW4wP1l/Gh/b7mZLPa2C5 P25g4j+eJ/EO8RDMekY+M/2L+IZ4HSYfl/xmuQ9hiH8kv93A5PeS/0z/Jx5i vwCTL0x+JeOffFPax3kB+ZDkc9Me9t/kE5PfjX32r+Qjk+9NvCXf6zEw/zf2 8J/68Y/65HuuhvHC+Szzu3xv2CDn/BQ58yPPh/mP8audD4kHJD/ccP5H/+H5 Es/gH/rMb9rva3zMF/3flS/K86lcu9FJv3N6ed68P2N+gv+vf8/kP5VP+3ff R9Hmw2rzXUvKV9Xmo5aUT/qh+aIfmg/6ofmeJeVz/rPfh9Hml/2nvxfDfCrf i9Hkn2nzVbX5qSXln2rzS0vKHy0pX1SbH6rNB9Xmf7oqSZktjS69l+/p27r2 m14n1ff92v02+X8lfS+npHzAkvJJP/R7O//q/FNtPkNJ+Ysl5R/+p/NZP/R7 Qv9s/qv2e0Ta7wdpvw/0Py6/9QO/V1RSvuq/Or/0Y77ox3zRj/miH/NF/6v5 otr8z382n/PflT+p/f4e38/Rfh+P/Xzvbd7ros/mKtrv6SWkeLl8dvyWzqZJ uenldvzrv4f38ftrH7+/9vH7ax+/v/bx+2v/2PfXSsrX1n5PtKT7cf/d+dra +34fmr8t36M94By0pGCG7kPzubX57dQXt8Dp+aTKOcr/A3T+G94= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvlz3lMUxs/7hiaSaKOJps0iibSSCm2aRBtNtKXWqJa3FC0JLSlpNaRL aKubrfgBY9/33fgLLGUsY5mxDMMwDMMwtmEYxs7zuJ93vD985t7vveeee+95 zj3zbVo+nFuTjYhvRJE4XPSKWWKC2EuMF8eIOWK2KBZZ7I8VfWI3MUZkmDtS HCK6RZtYIw4QpWJ3bMto7W+xyIly9ttTjBXVfFeCx8bR7oG/RWKhKBEniyWi ArtS9lkmlooqsUoMicliQPSLiWKlGBSNYh8xSdSIFWK5qBP7inrma4mRz9jM WIPYTzRhO1VMEweK/cUU5luYb2aPvfE1TKxaxVoxQtym4cs+ptM6rh349nwn redHxQbRLg5GzwyxqSQ2veiTZW4M2mTRxN9zRQ+++xgvwq4UDfJa5r/Hol9p gVbOhdmszTFexlwlGi9krJj1HnP+Xcw9Z/I9gXgtJfaVjNUSy/GM5+1q0LIf m2r0bOB7EtrVY9tQoGUNNvXoZV0H0a2BsRY0HaKfz4Vm5qeg11S0bcOuiXX5 nGjDrhW7lgK98znkOMwo0LsDnTuxO0rMR/Pt4sRIb6qH+HWgbzdaFKGL36/f 92H0N6G9/R4q5uGjGy29zjkzC3+dzHfQzmO/uazvYZ85+Pe5FnM263sQ97K/ XnxuFQuwN33sW0zf7z2Hn/x7z9F3Li3Cv2vUcdh77ATGy7Ev405Hc8Yy1pcT x/mc63jW2882vks47xHEpoS1PqPzw3nWyBlP4mz+HmTe79E1y3XpUnFGpFp0 CuMVtKdiY5z3+Xq4hLFqxifSLqN/Gv0q2tMZN/2s28F+3quW8TrOMoDtJfiq Yn4AG7dn0q/jvrW0K7jrWfQ9fxnf7p8Tqeba5nK+3W8mPpNpV9K3j7Ox8VvJ 11HPn4vNFWI1fc/5TbbSrqJfQdzGYTfEnq610/Ft2/OwX823bZ13zifr7Dfq eu36vIBx5+lV4sJItfc38YfYIn4Xf0fKdc+PYvOreFJsjvSWN0Z6T56/SHRh t4HzbaTfRTtK/2fxOL5vEx9GyrmMHmpWXK3+LxH/PVz73SnO547/iF34+V48 zNyP4lGxTtwhPo6Ui9+KB4nNXeLTSLnlt+W6U46d86aKc+wg9n6L24ih77Ip /q9lrgUziJf7M7nzCDHwOdYS8xH67ehwAeOb8dtVYNeGnju57zWiKJPqlNdd ie169Gtn/y3o5bq4FX2d787jOu7sd+s34tx0HjdyrvX4uUm8y71vEe8TpxvE s/h2/jp3nWNPe59Mqp3W7fpI2n0l7o/0Tl4Rr0aqO7Z9KpL9feJLzvKA+Brf L4uXIv3ffSRuj/Tmn4iUE86Hx8RPnPsDcWukOv2ZuDtSPfhE3BmpFvwVKb8d o7fFW5H+E98RN0Z6E4+IH4jxe+LmSHXzdfFapP/EN8SbkervF+LeSDXC+jwT SaN7xOfE/iHxHXq+IF6MVKOvE39Gyhnn7jBaW9t16LtLXBspN+z7efw/x3qv /RfWddIZ "]], Polygon[CompressedData[" 1:eJwt1PdvTnEUx/HziH/E/2BFlNYWpNUSBFEriFENUi3RaquqZuy9t9qlikbs vffeo2ZR0RjhfXI+P7ySmye59z7f8/mc22hQVvqYBmbWGQ2xALvRCjOxDw/Q A1NxBrPQEu2wDV8xDuOxCk/RF/2wA3XIwUSsw2sMxhDsRDVaYxLmoR6T0Rib 8AEjMQob8A7DMBxLcAepSMMWfEYWxuIiZiMJHbAGLzAAmViG+8jQGa9jjs7v M1mEm+iCrjiJszp7M5zDJT27OVbgEXqhN3bhJ/J0piu4oWe3wB7c0rPzsRd3 dZYCHMBL/ddiVOCZZluEEziOpkjGfMzVdQoqUaNZleAQPmqW03FU96Qog8s4 hbboaNGFhWijmXh26zFUGfos12KgZvoKBzFNv1Xhi7IoxWF8s+jKDGW3FN2V oc96Mbpp5tc0M59VJxzBD4sulVl0bTX6W3TOs1yOnsrUs1iJPsrkgjLzrNpb dPm8rr3T+/FY2RXivWbmsxqB58qkWO/0bpcj16LjvgvbMcFiJ7yrG3Wvd/YP /mKKMrOE2T+LrvszvCu+E74L3pnf+IUmuse7fFWzSNKs31jsks/8rTIvUUa+ O5sx2mKHjll0Ll+ZPtSZCzWzJxYdK9LMapWZZ5VtsVtbde079kkZl+odvjuJ RHw7vC/flVmZZnLbouMFyviexTfGvy3egdMWO+a75R38D7pwp14= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl/dX11UYx7/PLUBxIDKcgKCEfGWIEIKCgIhsk2mKWmKZK3CW2bBpew8r s12nsvoXKtv7tPeu096703q/z/P+HvjhdZ7PuPdzn/F+7vd+s/sHOwdCJBLJ sEjkMNj1sBeCLnAuSACjwNkgHiSCdeB80AGuAJtBL9gDzgAjwGVgE+gBp2jO UnCB+RqcexU4ESwD00ASGAduBzvBMeA6MAiWg+vBFrAC3Ai2gj5wCdgIusE1 YAAcDW4FO8BqcBPYBlaCO8EacCy4GWwHq8BFYINiTwNHgFyQLb+SdZ867D1t OigAU8BUUGSez0wwA6RoTp7GTgCFGstxM/VsIsiXnQQqNIfvc7T+eDBXa/Nd iXJHH+fIcux0jeXa5fKbc2aDLM0pHTa2X8+LQZme0fcjZTl/FpisOCvlV77y vVyxVSsXjK9Kc3hP/YwEcWCt1qkBdfKJcSzQPOavXvHQx1qN57hFekYfG2Tp 42JZxtoi/+aBZuWR903KHe8Xak2u0aqx80GjvsFxbXrGONplGd8SWfrLHmFP sDeoffYKe4Z6p8apaeqdmqKGqK9u1ZKa7VGdqOs+1Z66pk6pAfYHtUydsZ96 VVP2BPuAumH/sYdSFQdrEjXX+yrVLEV1ZF3ZE+wt6o99xj7IkK/URZbijqp+ 7I/Vqvt4fSNH8WRrDtfO1RrJep+tnOxVXqKKif50ar0sPYvK7zTFm65xs/Su UPmulh8Fesd1SlXHqRpXoHiKdE9/yzQupukyza9SrOylChvqLdpyxbVMfsV6 jLqh9is1J6pvxHI/T+8K5G+VclOutRkztVwsqO8a5bFE72L6XmRD+m7QNxp1 z/x1qA5cn3ptVZycV684mjSHvjbrnv616H6E6pRgQ1pvU62pT2rnBPP9m2ue pPplyV/2Up3q3q15u8FRYKz869L7WP+067u9yvFsfaNWtc9THXjNvYU6P1Xf HWOuDWqbWqB+VuoZ+6dPzzhvUHM5jhqmRo4z34NqdM9eyBDshUz5frz8Z9zr FDu1wJ5MU0wbFBfrsF6xxvZxauRk8721WLnZqPww7s2KnTnepHxQ+wOKu1N5 T5Jfa+Qb+37LsFi3Kl7Gt2NYTDsV027ljjHtVa1HK3/blZt+1ZU13QVOU+xr FUOx8rFLz083/11fqvyukD/cD88z3xN5HjhLa3F/5G9AnGq1TfWaoDyx3mdq DvV4jsYnyt89+k6C1ojXOryOnU84h78x7D/2AfWdjMPNuODnkXbY1xTPQ/Q9 uJZqYevAbbiOwuYHP2sUwBaCG3D9LnhQsZfhWWnwM0U57FxwANcLYKuDnzve Bm8pR2+Ag+Zrzcf7KnALrl8H9ymuYjwrCn6u6YbtAXdLC9eaazkPz2aCfebv HzMfU4LrOWC/eXytwWPshD2kutfjemHws9WrIASv9yvgHensE9AVXCuVsBXB z0cHlS/6/yT4WHWnli811y9z86HyQy1fbq5x1vmAtEad7lf9PwLvmWuzGes8 Iw2yt6427wNqnLmnxtnH+6SzP8Av5lpm/n5XDql91pDaj+CbT5n30OfgYemL +zf3Re5ZbRjznLnG2QesCXvocfCmudYfAV+Y65jcpbV+At9Jg5+Bl8174k/w qHLO/rvDvHe/BV+aa7QJ6zYGP4dy/7jYfG/4HtxjrvkHpJsxWucHrcX332jM veBHc/2/yDWD+8d1vtZav2ocx7wEPjXv7a/Az+b9MhLzEoP7MQV2cvCz+V/g fvO+H41no4KftcfCJgWvfQpsavB6p8OmBf9PkAAbH/xMPQ02K/jZfCLsJHAl rjNgM4PXOwd2enCts7a/qb4dwXVJTXK/5DzuwU+rxp3S0QfS0vvKHfPWElzr 1Pmz0hk1ZsF1T83n4npG8P8ZL4AlwX8f/gb/mP/PeV5aoU7+A/+a/49pwLPF wWt8SLVn3dkfT5j3yOF4Hxf8P9X/WTMdPg== "]], Polygon[CompressedData[" 1:eJwt1GeMlUUUxvE7hyoLSC/SXDpSpCkgvYgEQtldikpfetulIy1ACL0LgtI7 X0hoovRAaEoJwgdCCyVRNJSAJCKh/5+c+fDLnHPfue875cwkp2emZlgikeiO rMhHsi8kEsOwGDXID9KOwmrUIT9EOxpr8RH5ftoR+B5J5Htph2IhypD/QpuB FShP/ittJlZiB/7GdOTENVzGFHyHKvQ/QDsSP6Id+XnadEyAkf9Om4rxOIO/ MBWdkJ3ne2iHYD7+wOn47gG4jl0YiIloTP8jtGOxEXdwG3kwCS14fpR2HDaj Pvlh2jFYj5s4G789CHdxL/43L95iNwZjLtL4fyo6Ek/GV8THaPtiKzqQX6Tt h/74E7fiu7RGGsuX9NkSx/QFcRPzsfeKc3uNOXGOJ/Eyzl3f/A3BfKxaw//x ArORG9l4lgVpxPPwCI8xE7nwBq+QEr+hvS5L/x/inrcmboU+wcdYjjgZ3wTv 05H4avzWNlxAe/O91ZzPoa353mrP/8Gl2HcGnuJJHMss/ItnMU7S7/w3JzoT LwheCx+Yx6oJ1XpB8iXBa/5D4jzoQrwoeC3nNY9V08/xX3y31qgQzwqga/B3 6CyUIl8e/Ezcx4k41mkozbOS+Dp4H9VCVvO1VU0UJy6KbsTL8DOKmcfD0ZS4 pXnt9VadEaeY145qVLXbjHxT8BrW3ryLtaY90l7mMD8L2tMruBG89nVmtFa5 zc+u1qwi8SfmZ+/b4HMtgqXB56y9rGB+lrWnp4KfMdXXdnzGswbmZ6MnqhJ/ an6XdEdN4rrmd0kPHI9rprXSnaDaaWN+FlRDOzUu83frG9qr/OZ3lfZMa1fC /C7SGlY2n4PGvir43VPJPNYdpLulGvlPwe+Y5uZrrLXVGlY3H7PGqj7au4/N 7zLtYW3zOWjsa4LfBQ3JNwS/Ex7igWou+JnRXVrLvK/u1Hrma6S1WYdG5mdY Z1fv0F37ufkz3bmFzWtCtaA9eA8ajKqm "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxdWGeYFcQVXeaOvYGCEMGCWHBRumBJb5ZoEjUR0aAEUVRCBykCAXZBUMiC iEoTFlfWVcSgJppQRIlrQBBpogZFRYmR2FFELDnnO+d9b7/8uHvvmzdzZ+be c+6dfc179Lu0byopKVlXr6QkoM/Hn/1yScnvMdgI9lXQ10LuhpyJz3dB74N0 gVwDOQJjV0B3hzSA3TVpbWPYv4PuCTkK9pXQPSDfgd0N+jrIwbBfgl7CA8De AP0QJMHeCP0wZH/Ym6EfgSyCXA/hgQ/E+BboP0O+gayHPAg5FOOPQT8K6ef5 vSBjIEMhwyB/sY+bIQMgN0BuhAy0vgkyyLo3ZLD1H+yjr30Ps+4PGW5Nf3+0 b84daV/0McLfc5+Mc26CXgy5xWOD7KOXz/SE/YyGtMP8tpAhScKz9IGcgbH7 oRdAyu2LezbDeFPIKNhP2scEyK22ecaJ1ozNJOuxkNusx0GWQqZApkNu91gZ 5G/2x+8q7Jf+ptkXfdzp7/8EucNj9LEcsgwy2VLms8/w3ArvM9wx+wdkFWRu Eg6nep8OuF9pyPdTPuNMyCzb3H+2NX3PsSaGO4XwTH8rve5eyLw6PuZb00el 9RzHZpjP94zXMf731fFRZT3f+1X43M9Bau3vWa+733nk+oVJvCNXyBlyh3wi r1rA/qfnN4f9NfQ6yFdJnLw6iXfkK3lLbpKj5Cp5Ry6Sk+QTeUN8k2fEIPFG DpF/5Ay5SP4Ri8Qp+UduEI/EDDFE/pG75Aa5zxrAWkBOk3/EKLlYk4TVx5Ow 28f7kQv9U5F7A1KRewNTkXuDfA7OJd/Iv6E+S4F7zEf7EE/+6jsU5ha4OtQy xnfgfiO8nnuQN+QPeTbSew/02Aj7GOv1XDPOnws4m5WKXJroNWWeRx/l/kxe lns/xpHcmZCK3JvkNbf7M9dMrvOZeJ/mdcQVOfN3zylPRW4X/PL7KRaedbr3 oI+pnju1jq9CnVjmvbjvGsjqJFwXuDTb68ghYrzUfKLfjiF+rvB+jA15Rc7N 8fzOIR4+7e/IF/Kn1vuQO+R9pfcrcHKezzmjTuwr/V2Ffc9IRR4WeEm9oM6d J/lOC/1dmXPGXP0HsjUJu69BPnR8iStyhHh8OaknEWPbkuosY/diUi/i3Jah 3JR7DTlV6DfkFPH+alJPIp5fT6qtzNUrSVgmZ/6V1A9Gew3529u+Ftvfu0n1 oRqyM6m+sFbsguxwLN+DbHdueaflvhfHVjjfbybVU+aE/P3AcZjsdcTDW0l1 k3Ft5Rwy928n1UTG+aOk2j3X+al1jlgXWB9YB95I6jHEyMdJ9bHSa1Y57/+F vOP1vPOSOj4es58q55J5/CQJr1XOz4vOBWO/MRV766uOea39Vzlv6z2/Ne61 1jF80jlg/E/E+AmQF5y3l42Bx52zIc7hNuOBed7svBE7G4wF5m2Tc8d8bvH9 WB9aukYsd84Y9y+ScFnj/LzhuK10zmY69m85L+9D/u24bPX5+tjXdueasSfm pjjeO1KxN73tPK6xL/ohll8zFj5Lwly187zLPlZ7X/KKeNzpGD7nXNY6f4zT YO/5sfflfPa5avv41H72QHb77p9772rvT/v5JJzu8ZzdjleNY7xfKA/M2V7I A9Zf2j4s1EOvcf6/da7YLxv7Hcy81YsijiKUw1NDvtY5zwdEMZ8HhfDK/nik eyRzcXgoH+yX7NPs0fVDdneP1Xf/3utz0/8+n5W9vqv9FnruISFOcJ8Gfjc0 DL0h+J6gbujxs6HP8p15t0Z+o1Mf/X/vD+7DsUZ+W3At3xyXQ5qE4tPTcWri OXxvHONxvkGbuqe29Lt0vMea2eb4aa6VXMf1/B/hWM+hD9ar40KcIH6Pd39Z a8wQY6dAn2TetvL78B5jnTZ702nm13jHlVxmbLnuZGOvhf3QZm1gTWF9aOs3 xij7P921j3WHbzjyhXWD9kKPtfbZujkuxBTXtfLZ2njOQq9t4/MP8X7kCPtA O7//S91b7/FYe5+n1D5ZhxmXDn4bj7SfUb5jC/vn9x3tZ4kxRF6y5rJPswZf jv8F54Zi0Ah2g6wcHwN9dFauLoO+I1QXusCeF+LuRcxjVh6XMrfGzVPQK/1O W8Z8mgu/xdzZoXrQlP+Dhurr8bB7hmr209DPOO9tMN7PeDgFdq9Qne4Iu3+o RnaGPTBUI7vCHhaqVVfCHhWqSYOhH3Aez8H4zaE6uha6W6gnbCEXQ/2kxhxm LR0U2oP+T4K+OAtX50Gfn4Wtm4jtrJ5wQ+isPOeF0BdkveV/E4od4zY8dFae 89JQXBiTy0L5YC5OhD45ixv0fWPIfwvY14d40yMUR8ZwJOzvZdX1oaF78o4D QvFirH4GvSpUSydA/yTLHgv7h1m1+dpQ/pi7i6GPy+p5baHbZfHzulDOmK/e xLV5fTrG+oR6Tn3Yh2bVlXLII6FafwbGpod60sTQmXiGq6DHhXrRrdA1xvC5 jFuoHi4mP0LvjhnQDxvbL0HfFnoH8E7jfUd+f4nnPAj9UKiHNMOcyaG+fgH0 wVn1sBr2r4zz86BLsmr1z2HvDdXqUoxNC/X+FaEYMT4nYHxK6M1xKuypoffE L6AbZtXJC2EfkVU/R4cwSnwugf1oqE8tgv5lCGOs3azhXaxZl1mTv4T+PNQn +L7ubC4T351cH8hDzqePQ7DPAVm9YX/olNVD6kF/HepDxMUEx41YGBPCAzF1 S/itCX1F6I3yfYzPCb0hzoR9Z+i98gSxE+rh52J8Vui9chbsu0PvmB/Bvjf0 biAvZ5qblYx/Vo3+KfT8UP+/j9gP9fKyEFaIk74hzC11PevkOPB+2XfkPj/I 2uvArN+/2B9Z25q4vjXOyhNzFFm5Z9559rOzzn91qF6wVvBcP846G+vH8x5v j7EOWX3rBci60G9XjNN3s2L1LOMa+t/+FeIl9OY4LAuLxGH3UD1iLXqTcQ39 nrQP8lXobXFkFp6IpQ3QG0NvGtbOu0L1k/w73By8BLoq9JbZwbyF3kys90e5 5q+GXJSFsW3Eb+i3us2QTaHf8F6HbA+9jXZC3gn9hlcbuhvvRUx9a1y9S7yE 3kwfQT4M/S74CeTT0JuGNXWRMf8Z9O7Q73y7IO+Ffgskn5pnceqbECfJxz3E Sqg+kLvsVeQv+fGFOdKdtRb6HK7J+kybfD02i7O/hl4Qel+wd1WEaiBrVaus ekWMt87COevH1lANYT1omVUT2APXhPjHmrQ+VJfIv4PMwfchH4TejuREpyxe /A9CxuE+ "]], Polygon[CompressedData[" 1:eJwtlXnwl2MUxb899yklYQhpin5ZsmT7KVkiS/aZ1E8IlUpZU7bs2dLQmGHG DJMxjbEVoiItJGRSKWmlfU/KkrQJKZ8z5/njzD3nfd9nvefet6pX/5p+qVKp DAEZjItK5Tkwi4c7wNvwieBveAviJvAzGIPeh1iPQXVBT3RD9CfgHNAdvR2M hA8Bf8E3J4/9FdQtc9RmbB1wUHiOJ4iDwEz4VtAV3llrwn8HN8KvBj/BfwP7 MrZ+9tq90E+Hx+hbzfEQ/AatCZ8K+sOvB7/AJ4Pz4RvDZ1mIfo/YkfmOJX6H Hk4cAVbAPwMDw3vQ2tPB/nzbIHvtQ8taNWBd8prDwmfSWbTnsfDnwa5yP9vg f4KP4fWJf4ALwY86m84Z3qP2Voe4WWuDj9D1iBforGH+Q/LYreG5NIeSWgsc iO6BfoF4FLopcSB6l3JT8tVAeQb/hPlNPOtCvBgsgm8Cu+GfK886e3n3b5jr m73EPWWs1mwfPrPOqjWugXdh/VOIw9Hjw56T13aCGfDpYDb8P/ASvK/uJTkH r8OfAduSPTE6PKfm0rMx8AnhuUaAzFqRfXZ57ADdRXaububZa8RHlIPknF0E fz/s1bHJXukIViV7ZjW8HViguYnLwHlgPjoRGzL3IaARvLfGlBwpN/L8bNAW zEHvAQfL+9l70ZgF4FwwT7kjvgk68P7osCdVi28pR8k12Y53j6G/gW9I3ms1 z44se35A9YheC/8anA6fwrMvkr/R3G8QjwmvcVX2Heru9Oxu0Jpnq9FfgnvR Z6LXwL8C16Engd0lv5/Km+Dd5D0uhS8GH8JrlbMtCXOdcbA8wnwbk3tOI/hh 2XfXuNTKO2HvqWZmwr8F1yavuT2cM+VqP+KTuu/su5gBHlV+0OuT70heOhV9 RPHUlfBLQTN08+LNZ8O1L49ehr4k24/6phv8ZeJQdCtiZ/T9xCnoltqXvM+z s8P+7Q4fCh8GbxOe6wpQVTx+OLxx9ln7oG8ltkAvg08Ep6lWsnuV9twbNEMv RU8ANfA7w73peGJP0IRni9HjwF3ok9Ar4ZPA7egT0MuVK+VY3gKD4U20d/UN MBf9gdaUN9Hj4UuSvb4SRPH8Wby/L+wFeezV8JnblDtR7peHa0MeOIN394S9 JA/N0fequeQ1F8F7hNfWGbpm9yz1qmpiU/Xa8Nl0B2vhG8K9cXRyL90R9oJ6 6izi9+Fa0xptGf9guBbkCfXSLeFeq546l7gwXHsjk3tRp+x/n/Klf5n+cepn +qetgK8J94JR6r98+1TYe/L0K8UzrUrNnQi/I3z3ysmq8Bwaqzu9RT7MzoV6 tHrT4+F/jXpUp+K5lsWD68N3oLPXDvemdWGuHjWA+HD437cFnMzYfmEvqKbV i+aBvck9abL2Gc61enwV3/cJe02efDGck+riifnhO9NdaY7jeHdb2Lvy2FT4 tFILqokOYc/Kq/Lc5dk1o/eqCdXKqPBeVTP/A81qLb8= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmnf81/MWx3/q+z5fo4wUZW83m+x1zWtd3GvfaybZe2SWjJASKULDKhlJ ZTcoLZUGGihUSJk3ouz7ejqv70N/nM778x7nnPf7fc55nff318ZnXnLMxfXq 6up+1D/1xZdFXd0SUc9SV3eB6KxKXd2FouvUPkC0iegG0YGiTUXniM7U+Pmi dmofJNpMtIGopfrOg9RuJX6B6BK1zxa/WHSN2vuLNhZdJGqtvotE+0n/3tW6 usPV10a0n2gjUXuNXc060S3YJLredLnoCtGpJduMPS56QPSg6Gb1bynaQnRG yfGbRY+JenjeDZZxpehGURvraye6yt9tPc53e8k5WLS56ArRueq7VHQZ58Je RbfaPmTfKbrJejt7D4zfbh3o/FvJOR1F3b2mk+gOj3MGd3ldB1HzknPvFXVx 322ibpZRW3+z9d1v3ch42DruEz1izvjQkvJ6WVZb29fB+2jrM71bdI/Prou/ e1g238MlZ5hoa9Gjls14K333FO8n6mNbsaO399HNtnSyrff4jDiDJyq5Ftum ikaJ3hA9ZVns6RnvB53Pi/qLnjT19rwX/P2Ux3t5bIDX4ReDbSM6n3UfPjXE fax72jrRN0jU12tetGzGR9oOdL5s+9Cznc5hIOctesV96BkteslzX7e+5933 tNcPFz1nnaMsG52v2W7WjPA438MqqYs125S08zmf3YuWPcY6sWWC16BnkmUh +w2tHSXaQfSmbWfeSH2PE5/O3JL940VveR37mGZ97G+y+zibt92H/onWib4Z lZSJnI9838j42Jx173sNNr5nuyf6Dgf4rGZV0lbGXpdtr4m2F820bMY+sAzs HauxMaIdRVNsI2f8YSW/sWO257KPOeaMEQPEDP46WuvfFZ8v+qSSbc5noW3F 9i+sG3nfieZ5/ue2m3nfLydjQSXtZuxLr0N/C+maK/4/0Vfuw97FlexH7iLr RN83PlPOcollfyr6XfS1x38UfWady2wTti91H99gBHmd/P6bdbP+B8tj/c/W zV530fxvxf8Q/eo9sOYXj/P9k/UssqwPbeudJfdXJ35Pyb2tIP5ASX1F/KGS dod4n5J2ryh+f8l9VsS7lzzT+uK9Su6nKv50yf2vKv5ESfsaiD9Zcm8NxR8r uZ+VxR8paetK4reLjhLtKtpNtJpoTdFg0SBRM9Haokbuf1Y0QNSEXFvy7uuJ 3yXqLFpDNEc0WzRZ1NTrGovWFa1leeAvGNvSZz3D/gHmgslgc0e19xDtLlrP 65oac8F2MB7MApPBZnI3OZ1c/Xdj72WVxGrwH4yEwAKwbcOSuAf+gY1tPQYm goFg4QGuFxg/rSROX1vJOoJ6ATy93PLA5v1cF9DHWDvLBQPBAeILnATfOnoN +AbOtTTG32QfnO5zAcvbWwZ1CLUGNUcb97Wz/luXk9XJOg527VCrB9B/m/fZ wWvauo9vsIJcTg46yDVCG88DH8G1rUrid1fvAdy71zrBv+7WA/7V8srdvp87 PV5bA3b18viDvj+wd6ix9i7fZw3/77cO1vfx+lod8LD7wK8nLetx7wlZYF8/ 77PLcrIZr+H8o5Z1Vkm872v7+ns9Op62jltsUyevecZj3ZezpbdtYX3fkvli FfFtS+LZQJ/ncT5T5oGZQ6wDjAMjwULwaITtGFL5Cy9f91g/9w2yHS95PXgJ Ng2zjS97bJDlDbeNL1j3QM8d6u+Ry+kAOyZZLpg4yvLAwBr+j/YY+Y88+JX1 sG6i9YyyXHSAY+OtY7J1DPfcGp5P8DwwcIQxGx99xfqRNcXrkT3V38wjhqZb x0x/Iw+MAo+oC0Ya87AdfJ5mfbO8BnkfeU817JxtHR/6m/2BUTVsf986atjP evAZfJ3nuWDHIttEHvzUOsGoBT7HadY/3eM1TIbPt30LvB59C70e+760DnR/ 4/uY4zthbCfXC3Nt7yKvf8vrsXHnkjgN/q3tXEwuRzd49J1tWeJv7ADLwLZ5 Hl9sneDRr97HD17zpft+sX5w6ifb/Yu/2Q+YWMPwpdax0HOXeW+/WwcYt6Jx FHxsaCwEs1YwBoOt9Y2p4HKdcRq8BufZLxhdMQaDuWGcJpZXNqaCuas4tsHu qrEZTAfb2SdY3MDYfJQxbXXHP3mAGJ1srFzN+NnZuLmmcY+z39M4DR6fItq3 JI418jj4uo/7wLVBvi/W713yfQvuruU7XKcknje1rneMm+AXtLFx833nJ3I2 WLhp+ettubnxhe/NjBcni59o/Gb9JsZQ5oFH15hv6fbRJfMgmDLX/sJdzFLf TFEH0SEl35lgznH+xqbjRYc6n/7LuXWg/esB3x0yd3TcnVDyjd7Cd8BdULdM Kvk+ILZ2t+30TyhZd4+zT7Swn5wkfqTv45iSccJ4I/dxb/8uGWPof098Ssla 6z8l1+/pPf2jJO6/KH6275B72M93saHvmnqldUl86uuzP9jnz93uVbKm4rwP 8Jm/JH6rz4v7Och3xB0e6Hvknvf3Xf2zZL1LDDT3uo7200OtdzfvHV9lX0f5 LA/3ntkvMo4of53Z4e4/zPfEHe1hP1nD93a875GzPMF3hJ5jresInzUy9/QZ Ysu79t1TfZZn+jzpp26jDuSb+or6iDfsYbbhdM+hrptuGdRlM0p+n2F5LS1z nP2R+mCc7+KhSp4LfeDwf0vGAPub4bXI5/xa+wz38V1zt+ScTj7zc0vWx9TB cL6J2fNL1se8W870GHdNPXxxyZqY9wxzGKePMepF3jsXem1rr6F+PstjtXXn Wy/1NLUmcy8t2abOxh+vLukv1MfU32ebX+45cL6pofG1G0v6KTIutT3kpiss 48qSbXwbH7y2pP/+aa/3hS9fX9JnmXul5VPnX1UyVjhTahpyKX7dtqS/jy95 39Qat/nuHvJd0e7pnHxHybjH34kX4rJLybcN/kkuYj2/C3V2fxOP8Y3/N3a7 ie+Te10eV/Dbly13Dcu42/N5391X8j3VtSQmgVXfGbcWG6e6WiY+dYv9qjaG nm4l59cz72Y5S4x54B0546aSObhHyf6Kx7pb5322qb7He7jNW5K3I7j7YMkc C84RN9NtD23ikdwFJw6JwdPcrs2d4fkt3T7DZzzLdwPN9B3NdD/nP8z9W3sN sohZ8ut7vgswdI7bnf1Nm7cFeHav75355OQpng8O71kVRcbrXmrvHZkvmnst OLWH+neLzDfgBnUk2AFRT1KvTSuJH3xTE1BDUD88WrJGWcmcb+oV6onHfLb8 lk0NUas5aINpv4qfFpkrepeUWfXcnr4Lah1qDuqNp0q2G5rz3cD3+Lht6Fey pqnVMX1tC/U2vz29Wsm5rFnZc/u5Tf3T32v7+7tW6zxheRvZH/AB9saeqc04 yw98nsPcHmq/q2c/XMBe/f2Z2p9H+uYX4l9F+uVc8fmRvg6Ov+U7Ge1v7gT+ NnZUcnyS29zPxJIYP08yfi8ZL3PU/q04ftVeIVwLiv/ovzXMFv8wMiaJA+KB Od+qb3Hk98/i9SPv8QfxepF39KV4XWRM/ST+S+R9TrEP1n6Lod14OR+l/82S eY174U0x1nsZ4X5yHXsd434wCqxqZT+dZp/s4H7y4T7y5wMjMXaMz6r2VoHP tz+zfmwl+Rtu4ydTS+qfYPn0z7HNq9uuqbZ5pOdRU010e6xtnmS9O9oO9I/3 nrfzecz2mYyWvWMjcwZxwPlxzg+XrMWJqRM03iKy/n1AvHskfjQXPyOy/mgs /lpkPt1W57C4ZD26jfo+iMzR24lvqrHn1L5O7TaR2LyD+Bbqf17tbsyNxMCF ooaRPv+p2ndF4uPJ4ns5n3wiuiMSE3/gbsPnI76rc8sE8QN8L9+LVo28r62k 87DI+ugz0b2RmNiKGCmJjTeqfX0krncRvzMSgzuKd4isEb6P9Fd89dPIWCKO qpJfv5q5qYH4itXMAd9Exh5x93FkDOD/iyLj808M09zfI+/ht0j/5m5mib8b iY2vizeJxNkFoh6RNcDp4gdH1qFnie8cWfveKt4+si7YSPLXEz2j9mXqaxRZ /66rvrWrmeOOVN8ukeewlvoaVTM/rSHesJr5aynfkTHSx35DLv0Rn430yblq XxtZF42rxVgl88Vr9uGpbr/q9njHAn7zSkl8hwbYb/GVF0TriwaW/F21iTn+ 1cxzn3UbH6VuoGYA98iVYCL7533Lb7+8fWmT+5d5P0udV/mbVlePs6ah15Nr +X3rA8tkDvpftV76ydHMa2qbmnlPA20z34M8vrPO9aeS9fubxEXkO+BY8eMi 6/iPRcdH1rTria8TGdcbiq8fea7bS86Skm+CFmovK/mO2kTjG0Xm9t3Vv5Pj +nLycMn3zyFqbxWZL9nHENu4nu3kzAf7Dtb3+ODl9jHY/fwtd//Id8s8UbvI +nkV8Q2reea8Q3lfUTPOF90SWa+OEV87sj4BTz6KxJQVxVevJlYGmFBN/D0x Mgbw//PUbhD5vsd/W9mHiYOTHAtV8VWqib9Xqn1V5FviEvHxkfl+JeKrmlgM dn1t/AJzFhp3wNVPIrEVXPrO2FQR/zUyFgq2VzOXXsgZRL6ZziF2I9867HV3 77dpNXWjd31sjPQ34nUDx+yq1dwD9pNjivMMsdvM8Uu8NnbMrlnNs+PcwOSZ kbi8KWcTiRX4zj72H/B2aSQW4C/72mc+KplTOMNXxF+O/Hs4/nVKpI9h7zrV tHmbavoufkue2Ni5gjx0s3MR+bWtc+wNkfmCXHFfZF4mJw9Ve1hkzX11ZAzg /2DINZE4clOkn+FjYEjXSBy5LdK38Cuw6/5I/Boo/mzk/2sgl9/ufN4pElfA lHsisQfcIfd3jsz/lWreK3f6jPiAyPfV8+JDIv9PxJqRuZW8CuY0jcSdo8WP ivzNBrxaNzLvkS83cM4kLq9wbPYVfzzy/008Kv5Y5BvyCfH+ke+9F8Vfinwr PiX+ZOT/3RgkPjjyLXe++MORb4je4r0i/59Fn0isBWcfUrtn5JuQHL+a8zz4 SX0Dhr6j9tuRf18CY6njwdk9Iuv+P2v+yLofjKZ2INewFzCtrpo4MS4SjzmT yWq/Ffn3tGaR+YvcdWgkToPRU9WeFvnOXCuyzqDGmB5Z01PPtySGqvm7xkFq T4zEwS0j8ym5tLV482rG3Qi1h0f+PxFy3qTIvLd5ZC4mD2+CLZH5eqVq5h1y Djg8IxKLR4m/EfnufR8bIt+om2v+9pE5Evxf2TXAH5E5gvywWWSOJnb+D9aP 6ps= "]], Polygon[CompressedData[" 1:eJwtlnmwl1MYx3/ld56ftKE0LVS3bt2SltugspYW7XEVUUKj5Fa3pJSlaBll EDGEVJIkKVq0EBGR69oa+5CxjFBRqBCTz3e+vz++836ec95zznue8zzPeQuG jyspq5zJZBahLFoWmcwKdEvKZJqgZ+A9PC9IbvsdDaBtAM95DFgK/wJ3QVPQ ldidUW/4UvQ+vBPdBXdET8BPhd8tQOvhTegOuBnaDL+CZsDN0RVwJ9QTHoSW h79R33Zz8tpPh1nfsCE8p+a6HT0Pr0PT4EL0PfwDehCujJ6FV6Pb4KaoZS6T 6YbdV2uj/WgM9lVaj/1uhH+Fuyd/8yrsvTy7Js+xJrym1pqKKuB/ePZHs1Er 5u9JWz94cPLYF8Lvao4e8IXoTLgmqgu/ge6EH2P9A/B+lMV+FF0E10OtxehT +DN0N5xB+9CLYV90Q4/DP/PsjG5Ca8PvqE8+mo/9CJoIj2e9jnAbvnmLvh2V YY9F18DD0Rb4N55FyWf2gHyLJsDjGD8aLkXDkn04W3tBY+grw54Jz5Kd3Ka5 a6OZyWv0h+ugU5NjbhR8PRoKN1IMwvejsqzXnKNYC889lrZ75Iswj6dtG7wV tYBnoe3wm+G9ycefw6eh++B7Fe/wH2FfJ7XBc8Nzac2v4a/Cvp6nGFHuoFFw Kf2vhmNIsaM9TcGerD1k/Y5yayX2rfkcey4ck4pFte3WuWNP4nm+zhxeGD67 xuhcuB3nsxVuq5zBfgf1gc/QGLg9/dvhYnQedjH2NrgdOqL4RAEvRIfhv9CC 5LZ9inc0Pznmihg7EXuk4gqdBL+GeiT79F34vXCsK4anKrfCvijFPgQfDPtS azwMPxSOFcXcNMVq+N3RtM2Ap4dZMbIg7APtXT6pyffUQMfBy9B39H2LKiXn +J/JNUS1QznSgXebhPdegerDQ1AvuI2+mf5GYV+Wo7+Ta5pq2emKecV+OHcv l495/+Tw2B1oJNwSXQYPkU/CbWLVk7fht8K5fC12d/i6cJ9qjnJNNVa1VTnX IZxzyjX5eDG8CN2QdU7p7A/y3Jx1DJyl2EQjkmvmETQiP38nNEy1LF/fjmYd C4eUB1nHxMvhGqzaO10xQH8OLYGroKpwNbQ02efHwyfk7PuqyhE4i45NHnMj c9VCDeFzNIa+KjnPpTkqwZXR4uQxteFaOc+1XDkON0Yr4RqoIXwKqp7cVgi3 Y/518BrFI3adnMdWQ/XgujnziuRcOMxzZ9Y5UYDdRjUbXoUO6FyxBybXnPr0 N8h5rNZU7X8p7Jvu+Xdb0L8hecwgxUp4r8rx5vQVY69P/sZJ4Rqm2qUc2gvv Qcck59iT4TtSd+Nk7QHepbxNrnk/qX4rZ5LH6G75AHtO8h0zWLEXrt0a0zAc 0+X5M24Qjtkd+ZjRXbAkvJbuhF3wN+FaphwaqloUrh3t0cVwYeRZ/gvnVEXe pyXYzcK5UqIzD99RupuUY5/AH4djT3fUbvjH8F2sPSl2x4VzQzHcNnzGOtu1 6ETsCejs5JjqAzehfzW8CWXgo7TlkmOqr74n57Gb0dXYvdHG5BxtmvM76lMM 9FL9p+2S5Dv6y/Aamlt3QtfwHrU31diB4Ttbd7XGfBj+59G/js7ko3AOKvf0 D1Qdu1+4liuHW4XvHN01c1E5XBSu3crRf+H/wrVZe2odjlnFqvbcJXwmOgv9 c2lvX4Tn0h4Vm6+H7zrF6P9PUykf "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0jdSlgEQBuDvRykoLCwoLCgoKCwoKCg8gT1H4AB6D4acRUBFAQUBySBR yUEkqQQFJUlSchBEeByKZ97dand2NjrxYcKDUBAESdzjfx1OBLe4TSR3iCKa GO4SSxzx/OOMc/5wwV8yeMd7OrlhQJrMpJ2b+g5ZxQnVnJJON5fB9VLH4jWH VHJEGwdUsMcr9nnLLi/5TTk7tPKLMrYoZZsWNnnBOs/ZoJmflLDKM9ZoYoWn LPGEZRr5QTGLFPGdBhYo5CuP+UY98xQwyyPmqGOGfD6Txxdq+UQuU+QwzRu6 yKaGLMLcLESqeoJJxhjnIymMMMogwwyRTD8D9NBHLx+4H1z/yBXuj13+ "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{262, 261, 265, 499, 490, 491, 489, 493, 492, 424, 495, 496, 494, 498, 497, 425, 501, 502, 500, 504, 503, 426, 470, 591, 463, 488, 449, 486, 448, 487, 423, 264, 263, 262}], Line[CompressedData[" 1:eJwl0kk31XEcx/H/FZEhUpmHkAYhmWf3dt1LoUXPIMe6nkjPBckQ1dLMwrDA zjkehfH1Oxav8/6fz+K7+f3rpn98/R6LougnrT5q+MZ/xjKiaJxR0qT4Z/+o SUZIEOevfUiH6WeQAdbsvdpHFz10s2rv0E7aaOcDf+yt+p53tNDMiv2tNvGK N7xm2f5SG6mjgXqW7LX6gipqqGbRXqGVlFJOGb/tz7WEYp7xlAV7kT6hgEIe 88uep/nkkMsj5u0PNZsHZJHJnP2GWy655opZTjjlgAvWOWeDMw6JubEZHkq3 NEOP9LNu6yfd0Qk91ind1Und0y+6rzOMECcR3pIko6RIh3dnPNwM98PNcCfc DHcYjt3/K3fVzDQf "]], Line[{472, 453, 464, 452, 597, 596, 428, 506, 451, 505, 450, 594, 595, 483, 593, 592, 447, 427, 471, 429, 478, 479, 477, 481, 480, 430, 476, 484, 465, 472}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWwlVUYgOGfAyIhndKdSimNdEofuhsFkW6Q7pKUBmVG6ZihZkBA4Iru lEaw6G591nDxnHd938WZ2Wvt2dk79ortGSeKokz+lIobRU1joqhOvCg64HyQ HeykGWXZwmTWsoYqPOEpD3nMIypznwfc4R53qcQ//Muf/M1fVOQWt7nBH9yk Ate4zmWucoXy/M4lznORC3zBKU5znJOcoBxHOMoh2nCYthxjCmdpxxnac45p ZHIfHTSjdtTMOl2zaWfNql00u87UvPqV5tGvNZ/O0gLaTfNrdy2oc/RT/VY/ 0Z5aSOdqce2tn2sfLaHztZT21ZLaT0vrovA+OlDL6KDwmXVJuCsdFu5Gh4c7 1WXhLXRUuHsdHd5Mf9SqOj68rU7Q/VRznqRb2cZ2NlHf/ietpyu0ga7WiTR3 bqIbGcfy8D2ya6ytGUMr81gdydLw/TM3Cnu+o6V5hA5lMU3MsWHPYFqYh+gA NrAgvKndQl1FfxqbG+p65oW3N/+g+9jLZ+ZiNAj/j14UNhelCD3Ms2nkXF9X 8gvfEGtXT9dR1zkXuclBV7ucOiN8Xv1ef2MPnchiV1d3s4tfecPrcN/h/viZ qWwO78JzXvCMV7ykOu/4j7fE8X8jajjH1XjEEJ8PqGmfQBPyIYlJRC37JJqU j0hOMr60T6mpSEEaUlPbPp2mJy0Z+Jg69l38jrShNa1oSQua0yzm/W/N/6oE iQQ= "]], Line[{718, 680, 946, 945, 953, 931, 952, 932, 1105, 967, 968, 965, 966, 964, 1120, 1119, 854, 1097, 1098, 1094, 1096, 1095, 1099, 802, 718}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0DlOAkAYhuHfBKSh0hNY2YuFieEINCYurYiKjQZR3GVzXxAElYtwHPfl HD4JxZM3+WaamYn81tzmSETkyCcilplNRryyPRoxRolxykwxk4rI6ALzvLu7 p/tUOOSAD/uxnnBElVM+7XVtUOOMJl/2C73knGuu+Lbf6h03tLjnx97WDg90 eeTX/qTP9Ojzwp99UZeYpsCbLa0bFNllh0lvHDjLUvQn66yxSoGVxPC//gFq iimg "]], Line[CompressedData[" 1:eJwl1Ed0VkUYBuAbCCUg1YQSEiBABEF6DRCkSxEpuqEXj3AOfcmSJUu2SG+i SO8gnSC9KUVpAektNKUTeb7D4vnfmW/u3Lll7p8zbtqQqSlJkuT5mZmaJDNo WCpJHrOzdJLsYju/sYMi9a1yG5vYwmYeqW+QG1nLetbxUH21XMNKVvErD9R/ lr+wnBX8xH31pXIZi1jCYu6pz5PzmcNcfuSO+veyLQOowF21BXIhE5nEZJ6o 75bpTGEq7ckrkyTt5F4y2MN+9tHI2FD51Nym2tW0v2Egz9SaqXXQrk4BBzlA DSry3DG/y0NMYzodg3l5chj/Oqa5fk3tQXSmk34nOZxMsuIe1WrJSvxnTgv9 fO1s6tBOv7aszAvjLfW7aNelXtyrfo6swkvjrfS/1K7PCF6ptVZroD2YbnEt +l3lSF4bb6Ofqz2EHuTrd5dH+IzDNOQoPfnc+A/yrbln5B+c5DSneKN+XJ7g GI35it58x7d84Rx9Y0z2kU3kWDmOoeZ3pCrVyKQWWWSzKZ5DXJs5LWQD2Vzm yq/j3mUzmSObxnOS/eXFWJe/Yj3+ph9j4p4YH3uDCfRiNKN4Z72z8hx/coHz vFe/LK9wiUKuUqx+Xf7DNW5yg//Vb8s73OIed0l4wEPuU8QjUngS+5THse9i f1Ii9krsh9hn8Y7j3VMynn28l3ivcX1x7aTG2rGO51Ac82UKpWIskpKUoXRQ T5PlKMsnlI9x9YqyEhWoQuU4Rv1TmU7V+J7IIE29RnwDVI99TmacN/Z37Guy qEudWCPO7xkV+78qopAzFLCN1SxlDrOZlfrx/+0DBZebFQ== "]]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 1.125 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(1.125 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdQVcm2uNExgDnOqCjKYB7DjAEzbc4YB3XMYhjMCXW4OmLOGcV4HUyY UMGE+ZgDoiiCIqBkJEdxBAM/f1XnW/vWtqZ43vDqvXr+deqr1Wt3r71Xr17d Z+1taT+139j8JiYmvQubmPz/3wVzPzawWBpiGHVjsWFYa0/V8cqUQE+7J8Il 81/5c1nP28KDLP5WxuvsQWH0B3d5EXK13XXRh9GH0YfRL3Ds7bN+Y31FH0Yf Rh9Gf6BZkQkzOj4RfRh9GH0Y/XqXvnNoNSBI9GH0YfRh9PNNrTGugMML0YfR h9GH0U/cUPFkbOsI0YfRh9GH0bebUO2n+7eiRB9GH0YfRt/QoZbniV6xog+j D6MPo1+nSoOGm5/FiT6MPow+jL7LmybHfxuZKPow+jD6MPof/FrVHxafLPow +jD6MPqnf7Z8Wq1FmujD6MPow+iPv7a/vMvv6aIPR+6yXvTr5GeGl7P3FG84 epvqabDt+3ruQ2H04QMrh7Zu3PLSZ+1LFI3K+iVEGx9yxgczPr0cfa7H+I6H L93fZoyPoXXsjaWz66Wreesn/P7LiLWGCpZJi+rYuaush0WcA7s9NrjuWnrg xMN09dOaHUHtnZ4b6h0/Yldv2jTlcsz/hzWjAoVpD3N9WOabkadbven+qMl1 YQdf38hbRU4Lcz+K1PnjYuqIC2IfzHitZ2+8XLPXGeGwEI/z56YbRL9hTsLz lf3viD5M+5vVogcf8LkpvONJ+qApofdEP6nhN4lrLz4SfZj2U5blDmiW8lB4 765ldU1M/EX/emSp+AEPAkUfpn2x2WsPR68IEJ7Te3Pte6Wfib7rFotXVcOC RR+mfUTtnQeP7Xgu3DP/3pqbrEJFf1LXejFxaWGiD9P+bMihA7M9XgpvCB64 6diOcNF3+7ArfdDCSNGHad+5S8jjqmERwjmnhpfeZBWlPb9n+6a1KRKjPT8j 096zWmSfAg7RwmPWjt0w2yNG9B09j6RaurwSfZj2lXLi/OLSYoUfjptUckjT OG0+rfSaUqhygjY/jEz7JU9Sez1wihdu3nbmOnUlQfS7jj6XnLA/SfRh2qd4 vHnglV/jvRX/Vrx6l2TRP9naMMmvfqrow7QftOxDT9fVKcLFMxesMX2UKvrE G+ZLRMP849qsSpP5AhNvmO8w8535y3xm/sLMT5jxsN7DrN8w6zHM+gqzXsKs fzDrGcz6BLPewKwfMOsBTHyX/o3xhPh5e7khyblnjA3xEeb5wD8+XLvRdaaP 3D/kqu+eHRMGafE49XCJ26YmGerbGve7Zua/azh5LzXf3iGf7t+1ZTd+a/vM puSSoJMpE1YJB9sljpx5d49wQMjGhws3ewu3ne1xaNgPl4U39x8T5Z98S9jH bfqjtufvCu8ONUw9afpIuOXizuPGT3ks7Lj+weS5lQKFS1n/PKbRgqfCXduH TOxYL1g4Om6U/buNIcIWWXHji9uECb940OzHyL7hwtn93zVOrBUp3OWgzYnb wRqPrp//lJ9ntLDXgk4Njo6OEX5QyKzR6RavhM0H9zy2PknjZuElvbZdjxde 2rh/PcdZCcJ7zn/74+89koRTiw0+OuijxkVdqpwYFZAi/EvsyLptlqcqk17F nzdJvGRY5dEqyTkgTVlvvT0k9YW3oefey8Ore6ap79dGl3Z6+sgQfPV07zXh 6eppUeu9D1oGGQKOzdv7MTddpdRvZp/P7akw8wdusnluAacqMVdYj+lf5pOR ZT4ZWeaTkWU+GVnmk5FlPhlZ5pORZT4ZWeaTkWU+GVnmk5H1+dSIZOsFAR3S VZcNq8K9Xlz+LL9wnGoVVfGM5v8Dk5L2h0UcUVdLdj38wHy/4e1vfRZ86J6m +vSeeqb7Cn+5X8Qr5l+vYpcSxkc9N/x4Z3VXg52bTbliTrfNS2o8u75XxbF/ Bgh71n/d5tT9QGHGw/XK9K638f2pxyIP6hU/6XjYI+EZ4e0XpK6/J5wQfvfu 6ub3hXm+MPGZ63tYtZhqYXZD5NZWp2ouGnlNOOV+5x117E8KR/r2+8H+1Blh /EXyG+P921Zqo8f9wqe05+c2IMYs9Kr4l+QzRnlW8mj/OQdvCI8vNCNiZ66P tJf8xSj/o7/zQ7P7D4SLnL2d4rrRX9pLvmKU7x9qG2P7p+aPLx0Ckkbseybt JT8xyv9WckjUt2bPhU+bRybUPhMq7SUfMcp7XXeICKv0UrjTqzmvf4sKl/aS fxjlG1tenPqzq+bvJ67OnzlsUpS0l3zDKH9X9npK86paPKq4Y2lGu6wYaS/5 hVE+Nvnu5CqHtPmyeOaa6TXnx2nzm3zCKPe77ZeU7yctXiX3dEkrUjhR2kv+ YJS3cHs6Mfa8Nt8G1twxNXV9srSXfMEo3+f0IsGnfYpKzX82usu5cYaAJn6t hhVMk3yhrkvm2jV+aaqRufP44Y6nDLsyA/1LbtDyAdarNcVyS5zzDpb517z+ lKxvrQKE26+L63do/W7JP1hPr3vWLLraPE25dXsQXqXfFvFf79UtW8yptED4 4cC/5wY/8TV8X9O+k8PudNXA4r1Vw+Y3DNk7D5S1r6DFy05P4n9M6HvOwHoK E29g1l8Y/btVfSMr/LBB9GH0YfT1cv36Dt+OyfdiaORpZdGgtl3B6xlq6GQ3 S7NHPsIJmSMSpm8NFK7pldoh7PYL4Z+8Db1qvosU9tuy/F1omVfCkx17H3Kp myhctP93dt3bpwoHbktdYHIsXbj6iv7PQs5lCs+c413f+2aW8PVx5ks2PfpT uPQA5+DJodnCIztF/dgt7p3wiSZdlld//UE41+roi9zcXGHsf7Lj6OY5hV6L /TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPYz+M/TD2w9gPY/+Kwg0D4rtnif0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2O/jePJskPXvxH7YeyH sR/Gfhj7YeyHsR/Gfhj7YeyHsR/Gfhj7YeyHsR8mnpLfNDm28qBpiU3q5pxx TX2rZqhqnqXu7nS7Loz8t+h4R5sxmapn+W1tLjo/FvkK/1pba594Lhx5Z8jb 7qnhwgvcrQ7kKxwjbLE0se85i3jhS6NPfZxinSxcf8/lwDIH04TnbbCsl3Iy Q9jXeemie1deC1eaGh+03+eN8IThtg0XPH0rfM7Wa+mQyBxh0zblQ61T3gsP rOfUqEzOR2Hul97+Bn0nn/Y89Fo46nJa5vfJWcLcX+It9xd/019PH3+R438w /gfjfzD+B+N/MP4H438w/gfjfzD+B+N/MP4H4396e4k/MPOR8zT9/pzzO+Ss X8hpjz8j5zwBOecJMHL9+SD6rJ+0l/MpXX/NQnaN9xzqIesvzPWmVQttZNn2 lPC6WQsnW7TYayBfoT3M+k1+jxxGTv8w19cz5yfkW/p85L96XqA/H8Cfybfw Xxj/hfFfGP+F8V8Y/4XxXxj/hfFfGP+F8V8Y/4XxXxj/hYkHeZ2H+F8Isbyd 7WmAfdsuWh9wy92Q137cPqJX6doRvpKfot/ausx3+46nCUeGnQooZZqu5u9a cHBC9G6lb+/as1m5xT0z1G+dBl+6P9Ug1/N/MPzSjgLnha39S6/wK3hN9Ius K2nq0OrmZ9dzL1nRdXmzTOGe5y/0z9qQqQa5b6tid/KRtG+7ZOswS1t/4c2j a8+5HhGkXa9dLe9184KFfy01NG7rinDhYc5DTD/aRQgXTLXa0sstWvjdMKsz pyfHCO97kNiu4Lk44e2tE0dNXBov3M7jVMpFvyThZuanSnz/92Thabcu256f mSacMO/ysEnBGhtOW+7f7Jwh3GKS5ekusRqX3L80Z+rq18IrhywtYpWh8TCX +D49tr4RftY9fuTHDxofW2R7sOa+t8K1Wtp6PzfL1uyd7vUh34kc4Vl1vIqf Kf9OuMeo8j+/uPBe+FaF8mM2WH4Q3tHH6ci52x+Fy5k6XZhYP/ez5zt43q7A 7LmvhU1q2rj8Gqhxqfiq5SddzRI+u+ma//OKb4RZ72DiD/GG9U/268Rvzt+M 6x/M+gCzPuj3Y2/DLjXr/+qO+LN+PybzIemJdWifdPW6ToFhNz28PrO/5y8D Z/fa8ml9anpuR9l/OA9lvalT9mjdK/P+YT66znrd7Ui6OuU+v8yCHnukf+Kx xLvqBu8LXjdF/n7LrDKRlsc/m9+S3xjjNXL9fpL18rP5blyPiN/Iidf68zpZ n4z6JZaFdpi37Izw7p/zbX00aKfh//p5VV7nDeTHPO9te3KHZn13Tp7PjPV7 Ilo3vaf095/8mfudlj+78aUUzf9Nbgefufpcy6+5fucef4wKnOAr13uzZKRP UZ8AYfJv2r+0H1EkaMxTkTdqn2bllB0qTH5O+0rVUkd32vxS5N65BpuZmyOF yd9pf3SKYfjzUVEit3u5PLGOR6ww+T3tu9kuL7rB6ZXIMy/13hZ+I0GY/J/2 r37ofa7zxkSRb9z5XaetISnC7A9ov7TId2M/HEoVeYXLqW/dndK1+WLcP9B+ o2Oq6eBwTf6rR//ei5ZmCrO/oH3E6P4jmiZpcu+d3geGbcwSZv9B+4b9vc+U eqvJC642f9/8738Ksz+hvXN782JJ32jrgd3fnPuVO6ytB+xfaP/gJ2f7OyW1 9WHf+KhDqae19YH9De2rWEad22uurReZg7rk+lzV1gv2P7SfVKpLyfm1tPWj fdejdu6+uZ/5M/shyRemzpvZoLHGZxsNz2pkkSXt2S8hHxqae9JtjsYT/oho csD+jcRD5iPxrWP6/qE+HdLVph3F3Sfvvyn5u831pg+9X2rn9eT3rao0u1O0 SPpn5/P0t6xOxulnY9MkfyQ/Jn+EyR9h8keY/BEmf4TJH2H6Y72kP5j+YPqD 6Q+mP5j+YPJ1/p8hX4fJ12HydZh8HSZfh8nXYfJ1mHwdZjz8P8R4YMYDMx6Y 8cCMB2Y8MOOB6Z//o+gfpn+Y/mH6h+kfpn+Y/mH65/8v+ofpH6Z/mP5h+ofp H6Z/mP75v43+YfqH6R+mf5j+YfqH6Y//8+gPpj+Y/mD6g+kPpj+Y/vi/kP5g +oPpD6Y/mP5grs//j1wf5vow14e5Psz1+P+S68FcD+Z6MPr834k+jD5Me/4P pT2MXF9PJvm6cT0lnyQ/5f9g8iMYOf//kd8gJ3+ByU+knsyYf8DkFzD5A0x+ ABN/9OPh/0XaMz4YOe35fxHm/0OY/wcZj17O/4Ew//dhj17O/3vYT3vk/J/H /aI9/gXL8zH+n8f9Rh9/gmnP/3nyvIz6+BNMe/7P4/mjj3/B7C/kfNjoX/rz XtZLWL+e6Z+nfn1DLuM1MvbC3C+Y+Q4TX2Diqb5/1hf8B0ZO/EcOIyc+w8RP /AlGTryDiU+w1MMa/QdGTvzAf2DkxAv8BUZOvMA/YOTEj3x/H3DUrG66on5x zJCYw0NbpyjqAWvvtuuTWixWUV+3yrB2X/OsCEW93LNrq5O/uRiiqH/bWeC9 i+vqJ4p6tqDj6dll80Ur6u1mufXfccE/TFE/1yLqRlvbfc8U9XA5PRweGl49 VNS3le0bXShs7GFFvRr+BVNflt6vy624aRnCxEOeJ/6HvdRvEn9gzl/x90Ob Vwz4s2GG4rwY5ryY8VHv9c2+jdY+pS8LX1kX5Njv3G1h7IO5XzD3A+b+wtw/ mOcBc79hnh88e+15d58KccK351X5cKB6gnC5SQv7L/wxSRh/gH85UN2kcvU0 Ye4nzP6M9QcmPrAfQw4jZ/+FHEbOfgs5jJz9FXIYOfsp5DBy7GG9ganXZb6z 3hBvYO4P9bkw9bmsJ6xHxC+Y+099Lf6mj6/Ea/yN+k+Y+U28R058Z75gD/GN 5019MOOV/M3oL9TvEr9YH2HiHf5HvS7xm/b4I/W/jIf7z/2FuZ/M15JrTf64 VVRbj7g/nDex3sCsNzDrDcx6AzNemOcFMz6YeAKzn4TZT8LsJ2H2kzD7SZj9 JMx+Ek68HB/hPTpd1re5ns+cw26mfbbfyc1ufCb1dYAy9e9SIvJ58mf7g+RV KzamhGr5fOUrE9vemBqpTp5pXG5sb229mr3Q3bHt4QhZn0zrV7Fc1SxE1qMj tg2Opvf2V/r3LTjPCNj09EOrGelqdblh/V0srqkOLW0+hAxMUQta5boHNX6m 4tPLvHOoHKsiCo7wqlU/Sn1zuVKPvj0jVa1n5fx+jYxRSQ4vB/RbEqrazTG5 4TUzTr13OGx2o1iA6h39a7SK1eqj/tl62CXZkXa/p2v5aV71sfbXKzy88YcW P/Kqlx1Zp1ydW7PSVHj5wQ7j2z1Sd8s9PhzyU5ra5mnukfbiX6+n7XzBLmB7 Uorku01/OtgqLDxJNelStXz1WVr7f7betoH/Q6d2pglKX0/3V/W3pvPHla34 Plby5TM7Cpbv0Tpa3SualuO5Rmv/V/W5zM+6vQsNfT8xRtUt1i2s8sooyadv WT1ZWKBXuFpb5PfFqmHe9bzM//nfNsp/tnScqp2ddGH78DDJt78NMbMv/nOQ muBXyG6lp6b/V/W/xJdpZZc52v/2KZ/f/cK834unko/XvDh3zNsRfqrl8nfm vcvnXS9M/Ko89X3xZieSVLCjxe7HFvcl/lt3GXJvvetRye+/tF6Y/J3zvC+t Fya/imzbqlnfXK2e86/qh4nvbuOrdJh7RavP/Kt64h/HRoQ2Xx8n6wnrUc+c E3sK3dT8U59PXzHrOOpFzuf1x+TTLS9WexF+5/N6ZPLpjGV1XE710J63Pp8e p5ZXKLz983rls74BrcObXPts/Z03tE7goYuf9p2vMj2vDtTyU9bjukNKVy23 4dN6nP3mfu9d6er1wdy3/QteVM/Tu3R965KiWuaUn9HxwFOVW6bNnMyD8Sp8 4S9uM2zD1YHFx7ZP3xurbrazsM6+Hal2B0Zv+v3326rg9r4VTG2S1eAa+470 an5Phdc47VAsOkkNSmp/e0qfTHneXes1ajPEXOMGZ7ptaBGYrg7tyr67bsgx ZePwR98tCelqWJVLPUq/cVOdr5dwGeyTrgaUd/yh5Qgv1cLX/Gqjk6kqzi/p fCm/J+rDsUW293snqs0XEy0tXF8o9w1bSx5IfKW8v2l/vs6NCOU6papfr4QL Kieh3ZLokSnKpO/ekmMPBxuKWuTzLBL9D/vNPU2aV8/JUCNXdv5Y3k87n/R8 Xcp8YXfNX01XeZUwy05XNXrZbr3RcqWq97zUgX63vFRWcveMSmnafuHtKttw N0OKunrafsH6Rudk/9AkNnjimoZBhuhzdmFZ+7T9Q7Mot+qjb2WohxnPq5fe m65a33Rwcck8L/uFJTPmTe/k660Cpnn6ZJ3T9g+q23aTDZXS5XziyuJH99rl pqkA68zTs03vqeDFwQWOBqQplwmqx4TF92U/5unx6E38xVRZH48nbBj11OrT fjspeEm/htp+pPORhOVdzwcaWq86Xrn/6AxlfTP/xasHnhg6nok6+VO9DJX8 8zG7FyW1859tZjN6uJf4tF8Z+rtjl1WnDQ/3+L/x/SSvvnh2ln2+k4a05zXa nvmUP20yHLlVJHC3YXiRV675P7U3K6V+/S54v5wfkV/o3y8o2C9t63feHvI8 LPsEzXIv5/5ZPKEen/nA9VbtLZpSf/xFrf2+75zHXbginLPOfLvbmjvCi9Zt 6VMg+pb6Z+vXmb/0f6VHjSPTyz6U61n3PJpR/JKf8LklVdwvZz0Rnr8keOFU S42JF1yv8ui9DWq2eCbyAaNj+jkWDxJ+3e5Ybt0aocIX2k0ICe0TIkx8kvqe ao1WuDiEibzbhpZPp1mEC2933l2vZ91I4bm58yrVuBohTDzkevdSwqeZ+EaJ /NWU/ItrWUcLNxs+7nn+9rHCFV92vBPyLEaY+Mv1fn1wqIp31CuRL7X1afjS Nk44sHWDZed/SRD2vlTMcVNqvDDrAdcr6DHNZ/K7RJFb1dsUunlskvBM8zeN pk1PEbbbGVCtW2GNWY+4Xr9Ou1ptMksT+ciCx24esNHY9MPLqS4d0zV/a/0w 1rmkxuxfuV6a1Zi4rpavRW4S7Th96ACND4W4V+4+NEt4m7mri3Utjdnvcj2b sndtqtd/I/JeT4LuNLPX+I1PkZk1HP4Uji2SE1+6scbsj7neuvz1tuQ2fyvy 3ddbW5SdonHnC1PumThma/6eM6xtso3G7Ke5Xmj6+sTgjjkiT/Jyc0xx0njz Yf+qoc7vhJfEX3O9211j9t9cr15EZruzfd6LvPWeAvfvLdU4epv1bO/VH4QD gmok7xugMft1rjfv0cBtG4d+FPmqDQ6WBzZq3GjFDt9NW3OFq99d2cHZXuMv fZ9lZF3fbVO7pauxoambyja8qcpMybG92ipdJU/e1H7897e++H2XPwb7OVjZ p8n5QbGlc1p71Pm0H+ibveRu8f/8+zCb9ww0q3g8Sc4f2rcrvHhNQKL6tvPx 605bQtXCpa7FfzVPUoeKdpwxxezr+zP/6vsz67rubptadY9aOrlcSrH5qV/8 fsy3Tvs2VSqsnQdxPiTrwbrVPwyJ0f5P5LxkkOnle3fr+yvvDdUrVXDQ/o/r V+JV4wkfrqmzi8cvr/BIOz9aVGL9HA+bFBX7Q3nXl01vy/lRmaAGPTq1eSrn R4PdbiTlu5ymjmVcqWzi76vcPqZsf2GaqtY0ih7adFmgsqwQFu75R7Ka5zHs 8a6gIHW4Q7uMdfMTlHsF62GB5mFqTtFRuxsXeqWmmZyestApUuV2OFajU4MY VaRch4WVX0aprZbHVgT0ilB7V1fuHLIyViV4zzrQbmqwetXpVESpsvHq5KRV iQ0jHqtqIy+vc5+fqFbX8bJt0TlKHX9fZcOl5jGqekqH2crlpXIanfJ2ov8r 5Thx2uLmjZ+qZgU6HO3QM0E5x4UPbOkbp0IbODn6mUV89n4g+SPnS+zHYPZ7 MPtJmP0qzHkKzHkLzPkMTL6pP9/i+TMemPHAjAdmPDDjgRkPzHhgxgNzvkV+ zvkWzPkWzPkWzPkWzPkWzPmWvl6B/Sj9w/QP0z9M/zD9w/QP0z9M/+x/6R+m f5j+YfqH6R+mf5j+YfpnftM/TP8w/cP0D9M/TP8w/evrFdjPMx6Y8cCMB2Y8 MOOBGQ/MeGDGAzMe4hnjgRkPzHhgxgMzHpjxwIwHZjz6egfOKxgfzPhgxgcz PpjxwYwPZnww44MZn75egvMSxgszXpjxwowXZrww44UZL8x4YcYLM159PQbn N4wfZvww44cZP8z4YcYPM36Y8cOMH2b8MOPX14NwvoQ9MPbA2ANjD4w9MPbA 2ANjD4w9MPbA2ANjj75ehfMw7IOxD8Y+GPtg7IOxD8Y+GPtg7IOxD8Y+GPtg 7NPX23B+h70w9sLYC2MvjL0w9sLYC2MvjL0w9sLYC2MvjL0w9sLkE7xvjf0w 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/7xdgP4z9MPbL922M 9sPYD2M/jP0w9sPYD2M/jP0w9sPYD2M/jP3674dxHk09L8z7CjDns7wPgj6M Pow+jD7vj6APow+jD6PP+y3ow+jr3/eEOc+U9y2M/39wnsl5j/zfZ5Rzvsj5 DXLOX2DOT2DOP2DOL2Ceh74eTl/vxvkAzHkA/gRznqavd2O/jj/CnOexP8d/ Yc4P2Y9zPsl+W+oDjftpzlfZL3Pey36Y+QbzPPTfc5H3lY37Y97P4P0P5Dxf fb0a7bk++ydYv3/RP2/9fgY58w9m/sHMP5j5p69/JJ/m+ZA/8jzI17h/xGvG T/yC9d//089n7g/1G9RbUJ/E/p56Jr4Hxve62O/3WXMhX0zTTKn34fyB7/fB /B/C+QP1JNS3UD9C/Qf1IZw/8P8M49G/f6yv9+phZhZjWTZTnj/MeHiesH78 8vz5Pp+u3pH2Uk/KeIxyzg+ZvzD1Q3zfj+dP/KE9zPPWs7x/bJxf8v6xkZEz H5HDyJm/8n6zkZEz35HDyPFP5DBy/Bk5jBz74beLkzz8W72W++s212LQ1XZZ wp1n9vnmeJc3wikTFh3fafunsKv96V9W9n8rbDM4tsCcX7KFo/tW8BwzIkd4 TbfuQ/qNfac9z3bzCrWd+F44tPlxr/rTPwgv/jF8qPmcj8I/1C5javZ77mf1 cnz/kOdFPIOZn/g3/sP807+/Tvwivsn7aUb/xL9hd4NPgSFntPfTJJ4amf6p P6Q/6g9h/AV9GH3qE2lPfSKMP8n3AI2MPvWLtKd+Ub4HaPQ39GH0qW+kPfVl MP6IPow+8Yb2xEMYf0UfRp/nTXvq5WD8G30YfeIh7YkP+ngi7+caGX3iFe2J xzD5C/ow+sw32jPfYPIb9GH0mY+0Zz7C5EPow+gzX2nPfIXJn9CH0Wc+0575 DJNvoQ+jz3ynPfMdJj9DH0afeEB74oF+/vL+HfNX3sczzleT2Wuqbx6o8ZB6 vTo+yH4t+ryPh768n8f3UyNLjim0S+NS2x8vVjba+3nku/gb+Qb+q/8eprw/ YmR539vI5N/4I/ko6xeMP1P/iv+Tj5Kvwswf6l2Zr+Sb5KMw8516cuID+Sj7 MZj4Qr25vL9CPRbvGxiZeEY9OvGPfJb9IEz8pF6d8XD+Q7yiXp7+OU8hHlI/ T3+cRxBvqacnnpM/w+SH5M/yPSAj83wZD/eD/rGX/uT7ssbnzfk38Yd6aOwn f+T9fPIz9Dm/Rl/vH5zn4q96f5B6U2P85vmT32Iv/bM+cj+5Xzw/mPGTb9Ke +8n9kHoh3fdavtYf/++qP+b5NFg8vdYZQ4r4D/+/Em/h/+vf0/nvqs/+q+/z 6Ouv9fXVedVP51X/rK9fzqs++Uvrj7+0vvhL64e/tD74X/1+0Y5e7l1HFn0k /4/rv4/09ftGX79v9N/5fSPWY/m+ka5eVV/frq9X19ej51Vvrq8v19eT6+vH 9fXiJ8ceaTy66ef14Z3HFFy3+aJWP6Q/36M+WP+9przqhfOqN//S7z39p+vT 9fVRedU751V//D+t3j2v7139u+vh8/o+Vl7fu8rr+1b/8fr4L/w+1r+7/v3f Xa/+tf78a/351/rzr/Xn4g951JPnVR/+z9Zv67//yPe29N9n5PyI/aD++45f +n3Fr9/n+/p9vq/f5/vPfZ/v3/1+QF7vR/5Pfx9A/z7ol74fIN/PPTrkwpKs mQb9+wL69ydoH+7c58/xxdLU/wMMI/8F "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvdv1WUUh8+9hd7aKlwo9BaovdDWVinYQhUrrSiIsyqrCs4iVKuAFK1Y QGS4RcAfNHHvPUDj+A+cccSROKLRaDQaVzQajUajn0/ep6E/PHnH95zznveM 994pK/oXr81GxI+iRBwnOsUR4gRxlGgXVWKMGCtOFnPEbJETWXRPEV1ihOgX 68Q0US5GilJRwWi9hWKBKBOjkfP3brFE7I9shjN89gFilFgmloo86/3Qr2Rt ewV0vHeOOFuMExPFeO40idGyy0WPqBb1olYUxUWiT0wWvWKlqBF14kDkzARs zxTTxaGiUUxBdh1xOVisEatFg5gqDkK2Db0W0YRePXuHINvC2AyNyBY533fa IAZFK37V4uuR5DZD/CqJVSd5zvKtlJxlyZXXR4sOfOxivwS5cnIwlOOh9Shy Vs45XrumZqO7hP0KvlWSswXs5dD33hioIn9jyVsVuS2gP544TBiW44ncv458 1BLXOr4V2VvJ3Do9jIVhcXce+tAtEvtmvteRh0Zy24Tclkg1MYuzG8l3P7pN 5Na2p/NtKnvNyLmPBvChGdk27J4o5pPbQfZbOPdwMYNYO+buzevE6ZH6q42c 2s4x4lj87GDtuXt9HrrW60a3nVzatmvGdZXlnDnIb45UN22Mc7E9F/sd6LRj p4MzZ3Kf+dh1PSzkXNee35oy8Lcc53Vhx36dhC+WPQ3ZHDKe15DvSdhejH3j uqzg7E589Hg8vo5GJs/YzbwCf2zjWrGIsxZxhueXk8tp6J2B7sWR3prJkerY /TmOcRlz17nfMr9RZ7KfZzwLmQJyljkXee8vFyu4dw/rGr6fh3w13wrDzrMv N2DLe+eja9kbWVfHvp6xzevxLw9LiVmRmPuOO7iz5zeJC9D1m+j+ce/4vb0Q GdOHjT5i1cC4ink93xo4pxc9v7nuoybO6eUsn7Mm9r3Ja5lfwtp2bmbtufvT tTkDW6uRL1MDvBypxi+N9NZ7/9RI9efavEpcKQ4T/4hnxcZIPet990hWdl7S uJ39Dcj/J57HhuvnikhveytyLdgYRP4vsUesF9fgh334RTxO3Hdzvm2M1Lml 4hbN/7Ws5psi7d0eab9E89exf5/4KlLt3iU+i9Rjv4knidcf4mnisZG7tDJu wo593szdHbPLIvWFe9HvlPvI79jWSG+Za2EHOV1Fbhr4brmht2MLORogXq3E aID5evZ91i7Wnrs/XIuujXnEbgR1sZOc3iFe47t7zr3hvtgmrsZPx8L9X4Zv 29jfznoWsXOf5Ln3Lny4R3xBDNyX7rFqcr4b/1+JVHOut1tFLpPe06fE7/j7 jng70n+6neTB/j9Hjp2DveJvbD8ifiAGj4mfifdD4jt8+VLcG+l34Gtxf6Q+ /1Y8GOmN+ER8HOl/4ofio0hv8Qfi/Uj/Kz8Vd0aqy8/F3ZHeyGfEn8TDd3o1 0r3eFe9Fen+fEL9Gyv/Q76J/E38Sj0bq7xdFJpPi/r14ONI79aZ4K9LvygPi G3Lour4tUk2+IN6I9Fv4PzZA0JE= "]], Polygon[CompressedData[" 1:eJwt1PdvTnEUx/Fzq/6Q/g+ijVBqE4QGQRAahIYaQcwY3Trsvffee29i703t vfcM3ifn88MrT3Kf9rn3+zmfc9Ny+mfnpZhZC6RiJd6jN/pgF+6gJfKxHj8w GEOwGM/QGV2wEI/RAR2xFC/RDd2xBX8xEqOxHG/QAz1xDbfQHLWwEb8xDMOx HZaYjeFjHGZiJzIxEadxHo2Qjgu4gibIwFp8xQAMxFzcQ2u0wXw8QFu0w2zc Vj6ewXSkJHHvmriMyaije0zDP52tBs5hEmrrmW5iip7Xz7gZx1EXo7Aan9AX /bAHD/UshdiLJ8q2CEfwU7OowD481yyKsR+vlH0JjuKPsqzEDExFPWThlM7o Z2uAqziDhmiKE9iq7/x/zirzdP3NAbzVLEtxCJ91ljIcxjdlX65sLqKxMvKs 56CVMvdsr6OZMvZuLUIni45595agq0UHfZbzkK2ZHsQHiy5PwCWLTmTonj7r BWhvMfNjyiRLM/FuzUJ9zcy7vAw5Fp1+rTOX6lpCN3bwOR5jLbq2DoMsOuez XYM8zdh3bRVyLXbOd2sDhlrsmHd/E0ZY7EAqv18tiW75Nd8l75B3x3fKd2Ob 7u07ctJih/N1ht2osuh6Ae7qWoEy925WT2KX/LwvLDpUoozfKVPPshc+asZl OsN3i05W6MxPLTpZrJk9suhwkTL33V+h3/J3wC+LjlYqgy8WnSlXZvctdqJQ M75h8c7wd4V35D9RR62Q "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNVmdwlVUQzV5skJhAIEUgCYG89EYeCemEBIUgEUEFFEQIKIKQ0JsiKoII gjr23nvvvffey4y9j/2HvXvO7Hnz3o8ze+/9vm/v7p6z+15+d+/UnpCUlDTM kpL6wO6GzdlYLwROAk4F0oDtQD8gFdgBJOt8q95LAaYBA4ERQCGQAWQCEWCQ 9kU6ywIK9D6fFessG6gG8sxjKgX2AgYDZbJDgHLZoUCFbA5QKZsL1AD5wHBg pPxxX6J76LcTqAcagCMUexSoVXwRPS9SjKOVG/d1es79RPlolC3WPa2Kr1LP SpRTkyxzGqV7ed8YvVsFjNcdvLNdOTCnBYqxAxinNX3sLcvY95Hl923yx7pO kD/mNFZn9Luv4mtSTnX6Pku5MN8uoBloAfaTZX6TZRn7/rK8c4os76FmqB1q iFraE+hrrh3qiHqaqneZ6yLgIHN9LAcOFfdLgBnmWuoBDjbXUy9wiOJdCswU x8uAWeJ6JXCYuVZWALPNNbQYmG6uw1XAHHMNrQbmmmtpDdBtrst1wHxzLa0F 5plra5Lq1yxfEXGaqfoVKp8C8c34SlTfDD2PKNZSPYvpvtTiui9THNXiNVc2 pn3aCvFTrvUw8Vxt8Z4pVw41esaYqJ+oYqzVntztFH/Nur884e48i2u6UbU5 3LzvSizeE2X6vknft2hfLd7bFDv106qY2vWsQmctio+675BvaneixXXPPqB+ x2tPvU/Qnrrv1L5B33Uqjq4EDifJb6yvxqlW85VXrAe6LK77yeKamsxS3NR0 rA+m6L3jgAOAdOAo4EBzXVADM+SD+pmuM9a3WxxWyRfvpDbYF0Ms3oeMifqZ pef8Zp5i53uzxT/BXsgR5ohLxs0+ytZ+ru7nfqZ88zeBfdsfONp8bkaV1ybl Rh9L9R33C5Uvc12kfKcpf67Z64uVN2Nfrvh55zLdy3osUU1Y417Fu0BxRBXL enMtF4vjeuW9MiHvVQl5r07IdY3yZc3WqW6s8QrVjzysVV3JVY/4OlJxUJOb gWOAAcCJwEblvkk14vkJWqfLHq/zLXqWrrPNOt8gX+nyt0XrFHGRrBpv0HmR 8qb2YzOX85a/19vEHWM8Vv4L9S775hS9nyq/OxJ88Bln906dp+n+rfK5Xryy /ifrnDHew++Cczgc9mlx8i/wp/xFcP6s+OmH9V3yVYz18+JqV6xvMNfUzcAn ynkX/okJrs1M2IfNNTgU68dNvwFYP2quqTysnxS3NwIfqx63AV+r9iPxzqvS QiXWL4v/MqxflF6uAKqC6+Ylvcd3nlE+zOUJ3ce7LqZ2guv7OeXGvAbCPmiu 68uB8uC6vAwoCa7XUbCvm8+gs4A+wWv+HfCVdEFuTxMX3wC3S08vKG7G/JQ4 YP37w95vruXdsb7TvBfPBP4Rv2k4P8+89xqxfstc6+lYn2/eA+8CLcHvroO9 2vw34Azgd2lpNM7fMO/Rz4EvpL9knL9nPgs+Bc4xnxF9cX6u+VwYg/X35j30 kTgjX9k4v9B81lwDtAbX84eqEetQFLyOrGEU66vMe7siOH/krjR43VnzP4Bf zLVegPNLzWcH9XuvuYbzsb7ENBewvsh8TjVh/YH5PLoV+NZ85mXg/ALzmVWP 9fvmvVKN9ZXmMyU3uD6oDd5ZGPze2HzkbOSdI4Lf+6Zqynq+AzQHn0Nviydy RH4GBefoIfPeYF/8BFxr3qOMKyt4bMwjJ3gu5HxAcN4fkEapz8fM+4o9db15 T7IffwBuUb5fAj9Kk+zLoN5kXX9Tbf+SPqgNzoC/zeeABdcftUduBwfn91fg P/P585p5P7AXyGdtcE4fMe9z9jhrnBK8zuSkITgv1NHY4Fq623zWcM50wN4E e7q5Hj+TJq8DfjbvLXJVE5wvajM1uD7vM+8l9tEd5r1EztqD+6XPV8xnCucJ Nb5HcJ23Ba8ja/g/d54h+Q== "]], Polygon[CompressedData[" 1:eJwt1PtPz2EUwPHP89SMSakxTWM1xhhjjGUuUf8BlXKXe1HkTuSSlmakH/wL tOaSu1xCCCH3xQ8RKZW5VBMj8z4754fXzud8zvfzfD7P85znG5eRMzvbB0GQ hFCcd0HQhxtriSn4jnfIwwF0oAzFKEILfqAQ+ZjFszMxh+v9aMRbFGAXLqAv 9SxiKlrtHTL2Xoyj9piYga32bLONLWOMoV5LXIotKEUnDiIMlYjiN9nENNxA NPl64jxcRgT5OuJcTOL6GXE5tiOEPBRHuO6PcvQiX+N0Tm9wyuYi9yZQqyMu wzZcw0Du5RDTcRMx5BuI83EaH5CJZHzCcURiN9rxxeYr9b/4g3AcxjDGuktc hI04YXtSZGswnXqDfXsJZpAneN0LecdzTCZfYXN+gXjyHcSVtpdt2Gd7OoJa DXExNuGkrYHM/Si+4at9q3zzMSR6rclv7iDO67cuxFNM9LrWsma3MZQ8l7gA 9zGSfLO98wnGe11b6YneXJ9z2puyhg8x2msvLMEjjPXaO9Ijo7h+YDUZcwj5 LXuX7MkrTOXeTuIq/MJvHLI1v4fhXucua/4eTbZXcibO4jP22Jr14J/tVQS6 8RP9bEzPWM5rTXrsI87Y+smZCKN20enZkD2ZQv7S9ka+cTB5lfWS9PQg8utO e1t6bgD5Vae9J2cgkvyK07MgPR9Ofslp78sZjyWvtr3JtblUOD2LMqdp1F/b 2qxGF+qtt+Q/4D/JdYf/ "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHv81/MVx399zqdSI3IJ3aN239yNjc22QsIqZHQvEq2LSndS6aaLSoqi aFhmErVaZE2lNreGptmMLDPN/X5nr2fn9Xv8vn+8fud83vf3Oed1zvv3bdVn cOdBRVVV1bZaVVUheYT+3CksU2NdyfaSHYXa0k+X/IXQSvphwhTpC4W2Qgfh K6GdcKZQT/1nSHYSakk/VfIs4U1hg3Cj8LHwiLBEeF/YJNwsvC08LNwkvCts FBYLHwqbhVuEXwl9hYuET4UtwlIhtNdpkmcLnwtbhVuFL4u8021Ca405XLhA enfhHOFcoYfleUJPyy5CL8vzhW5CZ8/5tdDV57jYfax3p9sGCIs8vqvP2tXj Bvqbef08j/0v9X69hcss+wiXuL+n2zjLL4VBFWvcLUwQpgpX2EbsM8Tz+wuX W7JPA9lgn8h9fuPzDhNGeB5rD3c7a41022DhKo+jbbT3YO3lXmOMMM7zOcv+ 2qdh5Ngr3cb8UV6P+eO9Hm2/9RrcZ54wS5gtTHPbRGGSMNb7XGPJ2pMtOSOx 2jxy7ekV8661ZN4MS+bdK8wU5lTsx7x7bNeZPm8/23SW26d57TE+033CSq99 nddgz7leg3mrhVXuX+V7sicxDFfgDNyBT/Bqvs/FGmuFNZ5zkMb8XvL6InlK 7MOBB4R1ngeX4S4chmdwiPiGZ3CLeIazcB3Ow1H4R+zCP3gJN+4oMl6ISbgI d+EG3CcHkAvgNFwkRuEl/CNW4Vxv6+xHzHcrarjXvajhXo+ihns9fQ7Gwh/4 e7vPQBvxD5eqOUNsw3u4fkFRw72+BrE8wPv183z26G+f9vIa/X2OSzyONQZ6 PnMG+XuC/T/VfcT2cM8Z7HGsMcTf1TzkG/5d7v1Ya4TnM2ekv5kzquKbuCa+ 4RmxNsZrjfa4Ad6f/rvczh4NzYNR3oM1qjk6zmuN9bzh3m+897u/yNgjxojz 6b5zNfcmFTXc4xvOTfZcagU8/F1Rw73pRQ33+F5hnTlwg7ie63HwY7btS99M 33lihe1nu2+s95jocXN97pVeh72Iy972M33zfS84BJdukGwUqcOfV4T1woPC 68JDRda9P1oS938qsqZ1NuAOMf5okXWCuPtzkfWAeCTm4RTx/rLwXJH7wg34 Qty20f6vFhnrSOL5Qstl1tljsdf7h/AXj99hn3GvvxWZ17jr40XWJ2LkiSLz Pv7eVmTuxq6NI+OGmPmn8GSR338tMi9j86eKrDf4pKl9S6w8U2SuxPYtIv2K T58XnrafuTP5p4t9vtJ++Zew3d87i8yhM3wn8g58J+f93T7Dj0ttM9Za4rZ5 HofvX/T4NR67xeMX2o9tvdY622pXkXlzvu/xlO94oO7yhn2+yP6u9vPDFX7Y WOHbTRV33Vxxxkd8TuJlg9fB51vt9/vtszn22zO2J34jnvraHo8VNbX7cft0 uf2KT18qssYQ97fbjn3sS3w62v7cZr/fbR9PsA+2ey682GH7VNcq+EZcE9Nd 3fasbb/CvsZ3L7idfmoEj0z48rXIeOVcvEP2E4baV7ts/9Wez9y19uUar73T 62/3PTnXf4rk0g3e898+z3Nu/0ORPNrtfQ+N5Da8Rv5XWOB+xsGvOpE1ldr5 P/fRvt5zFjgmiI2F9udbFXHxjuOCWPigIhY+qoiFT4qa2PysIha+KJLr7Ww7 YpX4eq/I+MKWtPM+KCLfCpXvhnaWhd8Qt/lexBjvg/C7HFl6Lu+D2n5D0xZ+ T9BWxzrvg7r+f2CvSL2j2/ayrXj71/P/D/Uj9U5uq+/xux0H1bG5d9S8L6iL 1MTGfqMOdVsD6/taZ+xj/kY/IPKtSWwDah71rqnfn1e7bX/rT3oOY6nLvAOo C+QD8j8x3zIyl/H/ziGRtYF+5MGuF5ytsWt5E+tDff4mzqfs29Q1uJn1q322 ZhU5lNpJ3Wzht+sUt7VwTSUvkitXekxL59nmrrOMhydwaK7v0cjnZI9WPgP8 WGuOEBO8z8iNp5TKAZG2+bn0qZGcayt9eiTn2kmfEcmzH0u/KtIPR0sfFcmp U6XPiuR0felnReYM/r880/9j3iu50n4/XGN6RubdfaV3jMx59aTXLjNuSsmq MuPsK+Ezx+XBausSmf8OlH5uZF5sJv3CyDz3del9I3NqD+xhm7dUe7fI/Hc8 MVxmrG6RfkZkvn+IeI/M2eQTciL2HK22Y8rMB+dF7s2+IyNtgR2OlzyuzBry w0j7YtsTIm2H3X4SadM99oy0NXY+OdIH2P9835M7niP9gDLzZqdIe2GrxpJN y4zvrpH35+7dI+/JHXtF2ho7XxRpF2xyqfRvlVl/jkJG5swm0k8sM1YHqe27 Zd5/mPQjyhxzdqSP8e8pkb7H759K/9D5hfji7U4N2io5NrKOXiE5PLLust5Q 7zsi8hzoh7B/ZG1bTM6IzMPN1T4xsoYtkTzRvGO9G70m5x0Yeeb20gdHxv1B 0sdH1s6jJN+KzJP3RfoGvxwpeVO4Zmn8uMiad5xklJnHjpH+SWRuPFbyy8gc uJ/6r4ys2UdLvh+ZY5dK/sjcv1XyJHN2GfyIrCmna+5lkTXwNOkXR/J+keSY yJqDr/pH+gtfDbPdPpB8JzLvvy28Hlkr2tj+cJ060MZ6a/eRh6/jbGXmNWx8 i+18pNpmR8b+AuIz8k3XWu1TIt9J35A+LfK9Arcmm1/XRN6TO7bSmEmR74xv S7828q1zveTPIt8E84n5yLfn9zRmZuT7Yy4cjazTvZ2viCVyyc2R+eRkjZ8X WdufwLeRvyFtZ5/IGrxRclNknSZ/fBGZQz6P9CV+3MYZI2vt09wv8jcqck/h /PMoMRJZ4ztE5gtyxQuSL0bWdWxzWJn2eSMynoglbNCiTDvcJX155PuFPFfX uQ5btinTntjpm2Xaqn1kPiIXkZPWW8fn79nv70bGNPG8WnKV8Bq5CxtHvj8e kHww8u1C/xqP2SH5bOTvbRuItcjf7Y7V/j/1GGSHMvV9JBuUWb9XCPdEvpXo X+3xtcrkBrz4KJIPcIHc8HFkfiCu73BsP4//w78RSm6O/F1wHTEe+X/YSVpz TmRN3pNLIvPJq5K7I99PPygzL5ATXpLcGfl7YZ0yOQx/X8H2kb8XklNPcF6F u3uXyd9d0l+OfJ/BpzfNqde4a+Tvi3tyQ2R+IFc1KjNfkWMalplnyFWHlpmv 4NP3y+QU+ZW8QE4g3r9TZswPicxZ5Kt+kbmAPDAgMkeQH/4PLAjAAg== "]], Polygon[CompressedData[" 1:eJwtlXnQl2MUhn/O+U2W+BBSstQ3lhQxY4mKyDZK22ffyb4VzVj+MsyIMcbY lRbEJArJICppo31XaZGSSqWiIqVw3XM/f1zz3Od932c7z/2ct1mPXnU9o1Kp 9IEqzMtKpQVM4uF2GIv+Bjaj+0EHdGuYhl4KF6LPgfno5bAHvRu6oOvRXgBt YDbxMrgXfTGsQH8GO9G7oFr6bKf9EwI6E/9Nu6NofXMJnAc/EP8UHqs9LAqP uQx9EnyrvvA8+iFYHe4zQe/gd/Qb4b1+rznDe16JPhm+Q++Cz7U/EtOYdgzx RbTnqg/6x/C3q+GfcJ9t6K1wWXgPi6AlTCb+C3qVPWjto+BZ9F2wKjzm++ih 8At6DZzG3I+WucfCl+jj4Wv0b3BHek1ay0jYjN4EnXSotC/DMFgb3oNyswJ2 hnM0BH0mcxxKO0451VjwVvibpco1vIneAfejH0yv/WeYiT4RJqK3wjj0CfJM 2DOD0B/DBvR14bN4GEaHz2Rv5q4H3dD78bwV/Ap7iKfAFp1Vei/KqXK5JL0W 5fS59Jq0FnlgMPqDdO5eg2fQPWBl2KPBXHtBV/Q+yrP6wtvhM5yMbg4TongE 3b/kRjnti25H/0a0XxH/S/tf2usa84u0Z3ReG2E9eh0MDu+pX3oM9VUOxqMv Td+t8TANPSudywFwA7oZ881FD4fblF/iBegRyinx0cRz0MOgbdU50N4Pp+0N p/JsibwDNxMfSzwP/RFcQXwY8Uz00LD3Hkl/Kw9uQJ8C72iv4bOdCFvCZzxK e0l7sS88oPvDeIt1d6Aj8ZT03vprTvSHsD7siYHoAWlvaI6kb7Xqs5En7qZt QbwQ/Sk8SXwtHJKuKTW8G4Eegt6f9jE4verc6wzaoF9I56IhNCC+nPYgqIEO xLfKo3zblLY98TXyEHET2o7ET9E+TVxLez7xTdoD8VG0k9I1RbVEOTmL962h d3iOI9FN4AniBmXvXaF+yUFnad5PRb8LVxE3Ip6lWiCPovet+m50J+6mtRNP R78HjxPXwYEwI1ybD6g6F6rRL6ZzoL3LszPSHpO3/gjXnvvStVg1qDnf3p72 lnJ+HPEtaa/Ic2cQjybeFK4Zn8DIMrfOYCq6U/qstaeWfH9P+uzkiQXoxela OChca1ala61qju7iWtgdvpOt6N8z7SV5eDZ6fvrfNFBnzvsu6dwpJ6pVy9O1 XzVrTNqj8qbWrLu4Me1l3cmF6TVpLfoHHMx43dO51Z2oJb4xffd0Z/oUT9QW D8xNr0lr2RauNXema7FqjmrJ9HSuVVNUK+ekv1XNbFs8JS/JI/Li6+l/qTzZ rni0afGgvPNK+t9bv9yFI6r2lu6EvPtq+l8rDx/Du+vTtUE1pCHxlem7Lo/V lTtRUzykf8VLsC78zxiuu681hZ+dXe6I7oY83hh9ddqrqkFr0jVctVtn+D9E bDCh "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgnY1dMWxo86ex/UFS6Xa3blRmTIVGaZhwyVOSFTEUkiU0JSMoYMkUgq Q5NKE5oTpZIGn6hoVJJQhov7/qz3PF/P03rW+u+91tprT+td+/Tt2bx1o5uq FAqFalULBf0rPJsKhedEPxYLhS3EzxI/H5J8tviFosaSG4pfILpK8v6iaqI2 WTqlQuFQyReKzlH/RaKLJZ8LFzWSfJ6oieQ2ohailqJj1FZbtKXoUnTUdono MsmNxC8VXS65sXhT0TWS64j+IWpFHKKrRTfqe1vRNqLr9N0MO1H1FPK1ousk HyDaSnSD6CDR1iliQfcKxwS/UnR2CrubaJd8oKiGqHXZn+h66zYX3WBOTE+K OoseEt1sXcbZMUX7E6IPJL8v2k50u8fB93sp5NtEHc3pv9VjMO/21sX3Heas 6/aybSfeQdTW8WFzbzHa8XWndW8R3WXe1rylbe7zmIzziOh+0QOiB21zt2hc inGY4wTJ40U7pNBt77g6eTxsujguYulqzvwete9O5nfY5jG3MebD1iWubub3 O462XpvujoVxpimOIayx6BnbY/es58OYPdzGd2/R09Z92vFh85x1iWUn+Xxc /AVRL4/3lOgV2+HvZbfho2cx9NnrF805Fy+ZY/+q7YjrbceBvzesxzgTU4z5 uqi//eJvstoniXYRDXAbNm/ajljmYC+aJHrLbYzRx2Myv4Eek1gGmdP/ofxO Fe2aYk5dvC5T9N1XfKhomOPqJ3q3GHEQ+yjHwZgj3cb3BNE7thvh+WAz2rqs wRhz4hpXjH1krOEeB5vxbsPXWOsS+8eK7SPRbin6+jq+iR4THzN9LvA91fER 7zTHwfgfum201264453ieWLzkXUZ/xONN0O0u2iWfRPjZNthM9ttrMF07r74 DGyLIRPTp+4n3s889mTv7QDPfb7jJsbPHTexLHAb3197PPzNc9zY7KFxPxb/ QvSt5FWiuaLFXhdifzyF/XrRErfha2WKeL8UfbVJ7IvMsf/GY3Lu7k2ht1a0 wnEQ+yrHSuwr3cb3Utsx7+Wiubb5j/xUEK+odYrYV4seSDH296JltsPmIc9n neh2yQvF14juShH7d8XI/WAFubpbinn+UIwcDyaQx19OEccGUb8Usf4i6pNi PhtFWfJmoiqinini+Fn0Zop5/iqqKfk38T9FVVPwv4qBucz5J9FgyYNEBXwz rmi+6FZRW9H/pPNUivUFo0ses6pxGDwEw8BfsBrMBk/B3r8xOAUmg83DuBui Ygp8B8/BdTAX7AWDwVywFwyuY8wEF6kBqAuoDw4wHoJ/YDv4DE7Xdl0A7v4z BQZfU4xvcBDsJI+QI8krZewsYykcHAIb3zOelbG5hXXJ9+T9y92GX/ay1Sa+ ypgGloJlt1kPrAQ7z0mB8Tc6ptbWbWm7Nm5rb3sI3OnoPjDqDo8DDpWx9C73 ETcY16FYidP4+lcKnL6nWInx97of/Cvj5/0eD39gYCefb/LBFI9RxswWjolx wOFxrjMYm7z9kP2Bdd1sB6aVsfdR90HgQo9iJdaCg/9OUbuAZ/gFv55wXxkz O/q7q+16uI+xu9umi/e8u8d8zuPhF1wD58C0icaYMl6S/3ZOgcHP2wdY1qtY WU90sd9etulnfz2LlRjc0zGBd73dj97rnkNv+0Wvv/uYx6u2IdY+/n4hRc38 k8cD4wbYHiwr4x8YMsr24BTYBq5OcY3S223oMmdwa6hjGuZv4hjub8YAT0YU KzF7oMcf6b7+7h/uOEa5D4wCe6YXA3PI2+RxMHOaMQlfYNoYxwFmjfPY4BL4 NMRtH3iMSe5jzMn+Jo4p/mZ8sGlqsRLjR5umuW+k+6e4/yP3veMxx3u8mY4b nCEfglXg2Ern+gnum+04wIU5tqdtlmOa6z7Gm+dvxp/vb8YGoxZ4bnPsd88U OFrhuBfYZq6xCXwFa8CchV6nWY4bApvKmAn/ynExjyUeZ6nnNsttix3rMvcR 63J/E+sKfxMLuLPS+4pvMA/cBD8rHOtK24CPYClxg9ffWR9sXWt78PR7x0pt 8INjAr9+dJxg03rPoVYKzPujGNi6zvH39F0hfrD1Z8dfT/Leot+LgXngI3h5 puSTRf9NgbkbPEeweKPjB2d/8XyWGyvB1uPE9zP27JviTQtuDTJmogN+gqM5 VWJzFWNjyXr42NJYBsbWMQ7yXc2Y+4d9UQcs9JjgyeW2QR/aylgJ1XCNAW3t OgSiJuE9+5X4vBT15NfGC3L5CeJ1nYsPTvF2BGfIn7SR5+qnyNe0NRA/xHlz Zoq3AjkGHzsYI2anqPG500utS16ck6KOft9xbevYTkzx1ucOHJXiPlT4bO3h O3B4irqNM7dIfIFoL9EpoiM2OR81vfas5f5eT84B54Ga51Tb1PI+1PZe7O1z gc5p4sd6r9jnfVLUJ9Xd1sz7w3h/eh8O8F5w/tv7DjCnI1Pc3+29vu28rnW9 VuzVQd6vnby2j3veh9qWeR/mNanp+XKeR4nfZF+sST2f+ZNSrBdrhb/69nk6 8/C80WloPdqOcTu+j7Z/aq3jfP7Y/xN8Tvbz+qAPhjbwHrNvJ3ofWcuTvZ74 OM12h3mPmcsZKWLa0vtxivcR32e4ndrm+BTr92WK+0CNRU1JPUotSg1KnUqN ig51GPXhlSnqyMskn+t2ajPaGrmdOrWx97dJCpn6FV/UsvQ3sQ216AUp2su/ X2FT/l3rAtuiy9jUr4sdL3VguW4ux3uR/dB2SYp6ummKeVE300bfxZ5rU8vU 0Jd5DZqlkKmtiY86m/6/fdvnFSnam9qumf3TdoVtuQfNU+W9uTpV5qdrU5xx 3jLXpzizdX32uPOc31Yp7jT5kjcG7w7uRIsUuYk73Nr7fnMKmTvC+Wjrc9vO trT95faCdbHhPN9iebX9tHH76BT22HYQvztVYg/YCW5yL7mf4OidKb7LmHq7 Y6TtDvvHx132U8Pzb25/d9uWeG9znLTd43ZwDvxj/I4p5LVu62if91tea537 3A7GPZIC58DNTtaBP7iJTB84ChaCqeBplxTyOrd1sQ68q+XO9om8xOPh42Hr Y8v4tIPNixwHc3rMsdEONoPfS6z/qG2fSNG+3v1PWL+75fXWedLt1NfUlNSb Zez/2vxp68Of2USmj1oB7KduwK6H9Wmnjqad+gAcBZMT5zPr/pUiD6HzvPWp Y8FI8JE8QR7h3i60TD4Bcxb5rNazDAbNsy01MJhHHU6dCwZSl9P2ueXXipV+ wfQ3xPunqDmomStS1M1g5Rei93wPlntc+ArLvGuWpXjbzLcO94Z37pIUb12I HET+qe5xr/F88U/tPtvjDnZs6JMnl9o/7yNiHJCiTnpNvG+K+mmd+KAceY+a 6jW3U5u96PWnxqI+ozbrnULe4Da+qdtW2H65/ffxWK9aB338vWSf/bxu6PTy WPh53THQ/laKeo7fTKhhkVd6Lv285rS9ZXmgZfSp1ajtirZBf4V9vm39gnVY 8yEpfnMpeD9YO2qenSyzhmAYtRfv9OneY2qhzyyz1z+ID8uBC+zLpynOEWeM 9wD1wDTvGedqjfjqFG8V8hc65DP84Zd6a738/eV9p16Z75jBVWoS4jpOOn/m qINq6H6ckSM/VZd8Wo6cuoXkU3Lkzm0ln5UjlyTJJ+bIv/uKX58DF44R/1+O O1JVOg1y5O8jxX/NUddsSWw57hN63LHffNfmW97d82fuK6zD+efO/f3+LMZZ nuE1pC7lvnHXplqe4rX/xuu/2HeEcz7OfdTD460zzv4+sc/VviszPNYcf3Nn P/bdYdxZKWriT71HtH/r+Kc7N6DX13fhFZ/b972vvEcrbMt3hccY7Ll86HnN sh/k3ayDj41ay19yYPMgn8mi12Cm1+FM9W9TCiw5XfJWpcCeUyVXKwWGNZS8 XSkwo7HkXUuRf8+TvFMpcjd3rqfjH6D2fjnqqnPY/1LgQUG8Wo568Grxw/U9 QvL5kvcoRf49WfLmpcDds8SvzfHG6iv+XYr6+zLJ+5ciB60V9c9Rl30vuXOO Goyzv8rn/0LOXSnyxaX4K0XOqifeI0fdeYJ4lVLUEBcTYyn24yHJ1zmGo4kr R1280ndthu/vau/pGo873edkjeVVlrFrKD+tctTj3IljfS+4c8f73s0Rn5mj duT/P2/J8QZojp2+h/occZ6YKzh2aw4sGy4+JEcNOlj8rRy16UniuRQ1ymjJ I3LUhh+Ij8lRY34i/lGOWvBo8e45avdJ4uNy1J3TxCfnqB1XOQbmeLnaDixF Trw9x51nXp3EH8zxluD9y2/Em/s8DvWZ5P5xD8Go4dahvWSbza071u30j3D7 WNsUTeiTs3m/gn+8s9B91/rcyUm+d3D+r4uczF3n7nPfyVncf95lnZ0X+K0R X8TIb6tL7P9G26JPPsEveZ/f2MBMcv5E90+wzjLH8Lxz78gU+Ze9GZMCO1h3 alnq2I3in+Z4pzws3i3H26iB1rtqjjfZPZydHG+1XuIvW/6J85xjPTqI75P9 lpLtZpY35MjXzLuj+H453nMnSqdo+T5wIMc7lpxd33mbNfjA60A+Ji+Tr3kj 8i6t63vI2acGZn5DPMeDOTM5cO1Q8bo5cthpGneLHO/I1xgnx/v7CM54Dhw4 gDyQYz9r5Zgnc/yRmHK8j74WX5Lj/+dryudFOWqEHSWfm6OGfVH8pRxvYO7K QN+XOtJplqMueztHfiG31FX7lTnmUFty0xy1xs6SG+WobacQT4q31UFqvyJH TcG9meq7w32a4DtVIgfmyO17Sv+CHL8B18uxFqzDDTlyB3mDnER+JC+xV+wT e9QTuxy/b7GWrb2erNnNXjfW7Eav226ya5KjXiY3P+/8zJ7c5H05TDpX5bhj tSRfkqMWW8/+5nhXzhWfl+PdyLwn5pg7eeU95xbqjl1y1B5V8J3jLvys9g9z vD03SJ6R432aiTcHriXmkeO+jM0xNuP+kaNuoGb4LUdNTw7cnLOTA6/fzVFL UUf1lvxIjt8h6D/EOuTa2Tny7fgcZ4jz83GO+IhtVo74iI0cOd15Eox6Pcde DM1RB1MDd5XcJcfvKeTakTnyLbn5nRz5mT0/yPt+bClyJXmSedfx3GvnuOfc 8SclH5XjN5v6ajuyFLmD+93S558c0Mt3/wfiyfE3LCvEl+f4e5O1nOccb/Vl rtF5P61R2+ocf8PyCuuQ4w1EziBfkCuWSl6W4z2/SHxxjt8FvhRfmOPvaBaI z8/xtzwV4l/k+B1hlfi3OX472F7+zs7x1nxOvF2O36D2ynHnue9PsX6l+D2I muLNHHUFur9bv30ObAaX+3A2c/zG84b4EaXImf8HJrkpcQ== "]], Polygon[CompressedData[" 1:eJwtlnf0j1Ucx3947uch2TOrjIgQ2ZSQmaRkZGYWDetoaStCEiqVFkUHRRKF ktPWUU5Je+9CIUmU6vU+7/54n+/r/dzvM+69n3FrjpzQZ3zhgoKCTShDGwNG FyTEhV/g/ehyfBk0Fp6FTofPRo/CS1Bv+Fz0E7wHXQqXRo/Ai9EZcDndA5fO CwpuhWegZ/BrUX/e1R9fFW7C+Gr4MNeewK9EQ+E+XPsW/hGNg0uhDfBzaEDm b74ffgD1hOuij+HP0Ri4BOoEF+L5E+HJaAj+JPxS+HG0Gf9CeO6DdA2ujYrB 9dGNcAN0HNwGXQ535v7X4GqoJb4VOh7exjPmwZNQc/yZaDzchf9vhaujCfiu +G1wDTQMfzJ+ObwS3YJvjWrC7VAd+F7UAz4LFYLvQB3giqgIPBd1TP7GEXBT nrcGfhpdojH8y3Al7TG+Fv5B+GH0Bf4bdDFcEo3T3jG+BS6P9uH/4bdsckxk +DtRJ+0dGgSfyP8XKzbQOvz68N5qj/prbRi/D78IrcavQv0Y64vfCX+ERsHF NUe4BP+/CZ6GzsGXw8+EZ6Pbw2uitWiP/oLbak7aCzQHvgd1T45Brd2h5HjS Gg7HN+Z5TybHXLHwnmmvtOaL4NO0Z8kx9Qb8OhrE/cO0J/CDqBfcGdWClymm kmPmIfi+8LfoP3fDd2nP4W5oB/weGvH/N70Cv4qGJL9jK/xm+F2D8W/D29Fw xS7+ZfglNDDzPe/C74TH9Myn4DXhtVWOjVIsMt91+PXoIL5eeG+bor5wNcbv hheiF/Fbwrmgd/RR7DM+D78A/av40J7DrVF3+BjGr4NvQAfwvyn/MteIheEa otqh9e8K5/z/aniqagi+In4OPFc5g8/wU+Ar0Fv4beG10Bosh1eEa0NfrpWG S+WOlV/xp+vZysnkNVcsF6ieZY7ptrnXQHPfkJw77bi2MTmHWsGtc3+r9uca xtvjT0t+ZjPNVTUDXpv87b2Vk8lzWABPRZuSYygYvxb/PHxlcu62yf1u5XBL eIxqGvysYg7fPFwbdiof8E3DtWNHcm6PDL9bOa7c6oe/PznHTsBXwB/IfE17 Pzr8bMVAeXwZ/F7GZyXXpsAvzVyjVNuSnpe5xvXANw7XuncUw/ii+M2Mb0+u LYXx12euMaptuWIwc437G/2Mv4TfU9CucM9Qr9C1veGeo15zmWoQ95fSNe6/ GX8YfYIfzW9DVCb3nmuvpyfXih7h/6pmqNf0DI+p5xTFl8Dv1l7ivwrXPNW6 i5JrS6/wWqjGKJa7aT7JMV0cXxK/J/M1xWbn8F4qRqvjyyvmGb8nOba7hN+l GP8+3MPUu8Ym96KO+EnJPakDXJC7dymnjiqOw2vRBBVm7Fj8rsz3/Inex4/k twH6C30XfnZjjcN/hGv9eNQGPoJaJNdIxfqh8Jhi/tNwz1Sv1Bq3h4+Gc7u2 Yha+KsxHMteK88NzVc1QLxmAfyi5pxxBX4bXtlHy2hXLnetaw93hOWpuOjNM C/dQ9c62ioFwz1WvbYYma2/DY+qpqu2zw7VfNX56+Bv1bcrRKeEeqt6pOSv3 HwufVVQDfgjHpGJRZ4qvw2uotVMP/Cw8B327zhBNwjmo3FNMNwrnhHJBOdMs nLPKVeWEYq1I7rOGYm4G/rbwWUI9T7Uh5a5tqhHqpZeG56qe+mE45hXr6okz w3uuvdYZTLlxbO5aqxxRbMwP9yLFSA34pnBvVg5Xh28InxWUo8r9srnPYqoB DeHjuHYIXsG1uvhK+IP4Jclnk6HhMZ1RPgj3bPVqxWB9xisr5vj/Mq0rvoq+ Gb8q+WwwMPwsnRGq4Mvh9zM+P7m3nBdm9Zja+Ir43zPHlHr1heFnqWdXwpfF 78tcc3WWGxx+t850qrWn5j77qObqXZVz9xa9U7WxRu5epxqp3K2au7cph6sp 98NnV/UwzaVR7rOZ5qR3V8h9FtE3aK3q5D5Lac3UG1rk7rXqEVrbBrnPmlpj rVW93GclrZnmWjP32UhznhiusaqtOlP+B331V6w= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0sk60FEcBuC/IllYtGhhYWFhYWHRwsIdWLsEF6B7sLWJCBUSQjLLGIoG QxEyFWWIzPMsw+uxeJ/vO+c857c4z4lJeZicGhIEQTqJXPcwIojkHveJIpoY YokjngckkEbT9X0DGoObQW/FLZkt+2jgM+H2HssnfOSu9SdZxwX1XJJFL7ed h3Ku13JGDf/p4ZRqjqnihG6OeMMBlRzygX1es0sFe7xnh3K2KGObLjZ5xTql bNDJGiWsUMwqHSzzkiWK+Mc7FnnBAoX8pZ15Cpglnzna+MNzZnjGb1qZ5ik/ yeMXLXwhl2ZyuOPNwsjUJ5lijAnGyWCEUYYY5juP+MYg/XxlgB8kBTf/5Aq9 RFxq "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{266, 265, 269, 511, 502, 503, 501, 505, 504, 403, 507, 508, 506, 510, 509, 404, 513, 514, 512, 516, 515, 405, 478, 573, 472, 500, 425, 498, 424, 499, 402, 268, 267, 266}], Line[CompressedData[" 1:eJwl0nkv0HEAx/EfW3fSJelQSCJdokPWoYR0yEOwtfVXPZtQOolNlJAUlTOi S5dJllKSTs/Ay/zx3uvzx3fffX/bL6bwfMG5kCAIqpVixOqMKrQrNAjeMJX9 TONN7uRr7uArprCc2/mSW/mC21jGLXzOzexjMm8wib3cxGdM5HUmsIfx7OZG XuMGPp1+I7sYx6uMYSfXsYPreYXRbOcatnEtL3M1WxnFJ1zFUq7kY67gI0by EiPYwmVs5nJe5FI+5GI+4BKWMJxNDON9LmIx57GBc1jPuSziV93RX/3TmD7q i25rUDU67HymLtizeYuzWMWDPKQ/9gHuV6X9Xd80omp91n/91F2Nq04TmtQP /dYv1WpUQ1rgvnucz0Yu5Cfu4Vvu5jvu5TD38T3T+YEZHODZ6e/QEWXpqLKV o1wdU56O64RO6pTydVoFygyZ+VenAMIsVWE= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{581, 580, 701, 806, 952, 953, 951, 955, 954, 1077, 1078, 933, 890, 922, 921, 816, 1005, 1006, 1004, 1008, 1007, 817, 1010, 1011, 1009, 1013, 1012, 818, 1015, 1016, 1014, 1018, 1017, 819, 1020, 1021, 1019, 1023, 1022, 820, 1025, 1026, 1024, 1028, 1027, 821, 1030, 1031, 1029, 1033, 1032, 822, 593, 586, 585, 584, 583, 582, 581}], Line[{700, 662, 931, 930, 939, 913, 938, 914, 1085, 949, 950, 947, 948, 1099, 833, 1076, 888, 1074, 887, 1075, 889, 700}], Line[CompressedData[" 1:eJwl09VPl1EcwOHX4ZViInZhgIJ5hYSALdgoYgd2gX1jd8dmbvbmjM2+tru7 W1Gsf8LnjItnn/M977t3v+2cX0JRSX5xhSiKSsmNiaKrLOIOedymD3dZTOWK UdRPK2l/jdUlWl0HajUdpDV0mcbrEK2lBVpbl2tdHap1tFDr6UptrCO0kY7U JrpKE3SUNtXR2kzXagsdq811nLbU9ZqkEzRRJ2or3ajJOlVb6zRN0c3aVmdp Gy3WdrpVO+hcba/z9AIdrRfqcU5wkiNk2N+m6bpdM3WP7mU+C5jDFnp6lqO9 KCHXPFtnsoke5uzwHtPpbZ6hU9hAd3NWeI9J4TvmyVrEOrqZO4f32M14utrL 1MOsDudrXqO7GEMXc4YeIs26AQ2pz3B7K8ixTg/fZyfDyLaXpgdJte5EHIPN NTVfl5IVnul5znGWqvaqkBp+HzsYwClOc4YDHGUf++nLsXAm/OUfv/jD73B2 /KSM7/ygNJwxX/nGJ77wOZw5H/jIW97zLtwNXvOGF7ziZbhDPOM5j3nKk3Cn eMgj7vGA++HucZNbXOMG10niMle4GM6YSzHl/8P/jd9pDg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWUlVUYgOEfGULpoUElhQGkkdALmhlgAoYUUVwsFy2gwJ3tspC8IC7o BpVOpRSQEBCUDgVUUtrAQp9vefHMe/Y355zZ5//3nCr9R+QOz5MkSY4fWSlJ kklaviS5zsL8SVKVBVRjEQPILJAkA/U93uWm536iy/mYlazglvlqXcMq1rGW 2+YbdCPr+ZRN3DHfrFv4jG1s5a755/oF29nJDn4x/1J3s4u97OFX8690P/s4 yAF+Mz+kh/mab/mG382naXU+ZCxTGMccZjOLx3iVh/nXa+7E3pjLPOaT0NL1 Gaw1Yo/UjD3xpHkLxnuch1Yep+lrPMIDtDYborViv9yL/fGU+QTNSxuPa+vr DCPLeqhOJIW21nX0DR4lH+3MXtTHqUdH67paify0tx6u9WlIJ+sGWpkCdLAe oY1oQmfrxlqFgqRbj9QnaEZT3uJNXibb71/SSTxIhnVzfZvR5FiP0j9pwR9x vfiLMUxnJjPiWjCZwnHNvK51XE9tE9dHi8SetH3sXTvE39SiWkjT9SHNiPfQ YlpUO2oR7aTFtLiW0M5aXDM1VUtoKc3SkpqtpTVVy2qOltEuWk5LagXtquU1 Vytqqbjv2i3OlHaP+6Wl47prj7g/2jOus5bRatpLq2rvOLNaNs6aPh1nVPvE mdNycY70GU3Tvlpby8c50Ge1jj6ndbVC3H/tF2dEn9cGWjHuh++FK5xkH5tZ wXymM4F3eIXRDOMFUv2f3OeW97jNdW5yg3/Mr+nPXOYqV/jb/KJe4gd+4sc4 C+bn9QLfcY7v48yYn9GznOQ0p2LP5sf1BEc4xlHumb+vHzCIqTT3OZuxzOOP WMxSlsRePb+7z9KNXLrShRyyU/7/3vwPPveiug== "]], Line[{1319, 1277, 1281, 1285, 1286, 1287, 1288, 1463, 1637, 1846, 1636, 1844, 1635, 1845, 1660, 1843, 1634, 1841, 1633, 1842, 1659, 1798, 1604, 1796, 1603, 1797, 1658, 1682, 1596, 1690, 1691, 1689, 1547, 1792, 1600, 1790, 1599, 1791, 1546, 1789, 1598, 1788, 1597, 1655, 1654, 1669, 1668, 1854, 1657, 1852, 1656, 1853, 1683, 1684, 1351, 1319}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 1.15 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(1.15 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHlYj+nb8GPs+76Lxk6WCY21275mjWyRIYaGMMguEmMn2SYN2Rlb9oS+ FZJQkVSK0qbSrmT3eo7j+znv97i9c3j85pn3+R3P46/v8TnO+/xe53lf13Ve y31el9GEGUMnFTQwMFhQ1MDgP36XLfrQwnBllO6nayt0Yzt5KD287cI8hocK ly3onb/K3F94pOHCCqcvHBZGf3Tvx1E+Xf1EH0YfRh9Gv9CJV+FDJ90RfRh9 GH0Y/RHFS9j+2iNU9GH0YfRh9I2vVJ3S0TJC9GH0YfRh9AvMaDC50JTHog+j D6MPo/98c/UzSZ2eij6MPow+jP5w27o/3L4RL/ow+jD6MPq67o08Tg1MEn0Y fRh9GP0mtVu03BqeLPow+jD6MPouL9ucnD/+uejD6MPow+i/D+7YfGxKuujD 6MPow+ifG2b0sG77LNGH0YfRh9Gf6nugssuSbNGH49xMHX+eHq57Yr+3dMuJ OxVz3YAhuYuChNGHD66x6tS6w5XPni9TMj5vVFSW/N/1eZPb3qmTI/ow5aOP /TD2a+X8P+Vh/8nYlQc62wTqOiVdW2lvnK0s3mS7ZJT1Bl01ozTHJsMPKXlB JRzC+t7TbXdbefBUULbyw3rXiG4LInXGJ/8cbjxzpuJy4n6z9T+FCfM8zP/D 0h/1PKvey34hbfyEp9y5E3ejxDlh3leJJnsuZ1p7iX8w9praO19tOPC8cEzU 8Uues3Si3/JNauQai5uiD/P89boJow8GXhd2Dc0eaRd9S/TTWn73fMPlENGH ed5u1UfLHzOChPe5rWpqYHBf9P3iyqVY3g0TfZjnS9lvOJqw+oHwvEFbG98q Hy7627cZPqsT80j0YZ5/2njX4ROukcLmBfc13FIvWvSn9TFOTM6KEX2Y5y9E HTlof/yJ8OZHI7accI0Vfff3btkjl8eJPszzvXpH3asT81T4zdlx5bfUi1fr L3z/zM4lEtX60zPPe9SNG1xoSoKwzYZJm+2PJ4r+HI8/M41cnok+zPM13iQH J2clCQdNnlZ2TNtktb+tOW1XpFaq2j/0zPNOoZkD7y5IEW7XZfZGxTtV9PtM 9ExPPZAm+jDPZxx/efd0QZX3VV9Yun7vdNE/00k3Lbh5pujDPD9y1Xvz7esy hEu/WLa+WEim6BOP6C9PWxac3HltlvQXGH3Gb5jxGGZ8hRkvYcY/mPEMZnyC GW9gxg+Y8QAmvsPEaylf3/+Jh9r4SPwi/hCfiI/+v+nSHMwTzYh/MO8fDlBK 9BygC5T/Q97F++iFgSPU8aJnzdnW3xuq8XjhuB3B1pNzFFPbyFEuhgG61F31 ly8d9Sl++q66Nr9LuFlZp4gzGbZrhR8Nfz5+dsBe4QdRzkHLt14U7mJ//MjY ZleFt1rYxN9PvyEc6D4rpMulAOHd0boZZ4qFCHdY0WvyVLt7wnM23Z2+qEaY cDnTYTYmyx4K9+kW9UsP40fCCck/TXjrHCVsmJc8tbRZjPDjuz+2ihsSK/za 4m3r543ihHsfNjvl/0jlic0Lng32SBA+vaxni2MTE4XvFilucq79M+Gao81P bEpT+cfYsqd3+qUIr2xtYTxnbqrw3ktVWi3pnyacWWr0sZEfVC7pUvvUTw8y hEcljW/a+bdMJSHr1tQPpa/qkltFmDQKzVIqzP1Zud7goq6YdTWr745mKU7d fj+fkhKi80we67PmcbYS/bhU1YVtI3XbRzd5MfVTffv1ML+0flKojMdtti4q tKB2ojfjLeVJ/9Oz9D89S//Ts/Q/PUv/07P0Pz1L/9Oz9D89S//Ts/Q/PUv/ 07N2PvWbhc/Fll2ylbV5F6L3t/b+bP5QovX768s91PY+Ii3tQMzTP5VX3sOy x7Q5oPM4PD9sRb8sJSChz5aLbUN1E8cZhkfUyJH+S/+B6Y8DS11JnRofqWt1 c10f3XB3s0qlFvjXLKuyffPT1SflPxD2aJ7b+eztMGHs4/8qDDJ2fnf2nsgj BqZMOxkTIvxrbLdlmZtuCafGBgSsa3dbmP4OE4/5/+P12s8wLH5N5Kb1zjZ0 HO8rnHG7l2uTCWeE4+4MbTbh7Hlh2o/MZ/Tvc2c55+O3i55V69PdMrF4tI+0 N5m/6OV56RPvzzt8TXhqkV+f7voYKM/LfEUv32PhEFT89l3hEhf8M7Y735fn ZX6ilx+wGpA4IF9tn0+mPEiz3h8uz8t8RC9fWHZMfJXikcLnasalNj4fLc/L /EMvH+g35WlMjSfCPZ/Ny50fHyvPy3xDL3fucHnGsO1q+z/ls3T22Gnx8rzM L/TytxX9MtrVUeNRddeVOV3zEuV5mU/o5ZPSA6bXPqL2nxWz189quDRZ7e/M H/TyYP/gtAI/qPEq3dwlq0TR5/K8zBf08vbuD39JuqT2vxENXWdkbkqX52V+ oJfvX/A4NbBbhhK5zHHQtdeTdX90Opbbp3CWzA+aTS/kP+xulmIbuO502vqz upJDGi6ptSlLWdWhsWvJq2r8cvQxirS4F6Zr/qpiaVfrHMXmsm/hMym7ZX7B +JsUvD2jfc0sxb3v3djaQ7dJe724rkP7eTWWCXsFnNy3O++OrnwjXfXbu7KV zRei4ypbheqqRNa/EvRpvJy2a+zSi4Ou6UoNsj21qUq2jJ89Q1NapQ7x1Mn4 qmfiD8x4DKMfUOdOXLVmm0UfRh9GXyvXjvewf2KBx1Zx5xTDFo2HF/bLUaym uxsVDwkUTn1hnTprR5hww9OZ3WP8Hwv/cFE3sOHbOOHgbb+9ja7wTHj6nEFH XJo+Fy5pUXV4v26ZwmE7M5cZnMgWrr/aIjzK84Xw7HkXm1+8nifsN7mm05aQ fOHylg6Ppke/Fh7fM75V3+S3wqfa9P6tfu574Y/1jj3++PGjMP6Huh7bOq9I rvgP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+ry7a8kFKvzzx H8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h/Debc6ai1aaX4j+M /zD+w/gP4z+M/zD+w/gP4z+M/zD+w/gP4z+M/zD+w8RT7XyH+R5ymPgh88ET aw4XK7NFmZ+QMsfM5oVwiyHTz3kcyRWOv5r14vv0PGHK5/8on3il/X/6K0z7 hanPikMSisRMOqpkD+19I3lmjsR37X4P6ydYuz+klWvt4f95Hv26HuUCdrn7 yfuAsd+88s7Olx3uiRxGvvp+ox2NT0WKHEYed3PMq36ZsSKHkS87VO9ggaKJ IoeRG658PsTTMEXkMPIrE89+sDNNFzmMvPneq2EVDmeJHEa+eLORccaZHJHD yO84rHS85Z0rchh5jRkpEQcCX4ocRm47bkDLZQ9fiRxG7jng9MoxcW9EDiMv 1rlytGnGO5HDyEcYLzCp8OaDyGHk9Icfo9ymelgdl/EWpr3MrBttYtTlrPDG ucunG7bfp2P+z/Mw4zX9DzmMnPK18wHa53f7nU0Dy1+V9vmm/5Qg3bMg4fbx 17oM+DSPhee6W7h63Y8RjjiZ/bpigQRh+w2XDgVWSxauNG25xfJWacKjDtY3 qFU/S/jI1tWW+S1zhF+tSDt+v2OucK/Zg7872ful8PYJ50atsXglnDCkmoeN 9RvhNl0XF+nyyzvhFa1irWrO+yDcrHGFYsWXfPysv2vfF/2T/STiAe+X/s54 wP95b4yYM9TTX5jxAd5V6J3L9nWhwowXcLjvuvTvLkcJM37Aa3Ub9rfLeyrM eAI33j18cGapJGHGF9h/ce33B+unCjPewDZjEo9adcoQZvyBC/xheax402xh xiN48HqvAoltXwgzPsHuiwxH+nTNE2a8gjNsHU/uGpAvzPgFm41OKjRv1Gth xjN4fd9+Y4ZOeivM+AZHtzt5uvms98KMd9r2wH4h9Uf/pn77Fy+eaFTxhdQf cuoXOfWHnPpFTv0hp36RU3/IqV/k1B9y6hc59Yec+kVO/SGnfpFTf8ipX+TU H3LqFzn1h5z6RU79Iad+kVN/yKlf5NQfcuoXOfMX5PR/5OwP07/p/zDrTe16 7D+7f/ql/dK/2h+97xVl5P/aQwff6eK46cGNQ7qv3Z9zr7vkaqki92R9y/91 Mq1Qdf/JLOG4mLMPyhVTy8/at82y8ots5br/o5tmJ3xFX76v6HmcVUCn9Lre ivb/D5Wtvv23H18Im1/yssjb/EI5cmTFkCEzguX5jc5DClZ5Fi486XDWia4l Y4W/W+U5+tX3CcJ7bZYVPdUhWVjp3ufcpKFpwlnlVrcq0zZL2MwgbVVKlxy1 vMxBj6+b5wpHPznb2n3kS2HjoKprF9m8El54dVGs5cw3woHHY0xNFr8TruHW fUPp1R+EaW/s38n+5mK3sNeLcoUNGpq5/BymcrmUOpWn+eQJX9jiez+y+kth 5r+wdr3OfiTjU6bpL3vneajtl/my7H/pxzf0sZ/xTFuf2vU+cuIfTLyDiW8w 8QwmfsHEK5j4BBOPYOKP7D/r4w1MfIGJJzDxQ+sv6wWY9cLoJ/ZvdvY+LM/f uTakYgOnY8La/SD0t6eFmkYPVvtXp+1zc/v+ma1o94daNd8c3i5ty2f91XzU CPuB21Rm/ibrE/3zrDe0+oxv1yNiOob8X99zWI8o7ss+nJ2vth/aL/EQZn0C sx6BWX/I/rV+vQGzvoBZT8CsH2DWC9Kf9OsDmPUAzPwfZr4PM7+Hmc/DzN9h +o/M1/Xvs8yq6O6LV50X3j2swI6Qkbt0/9v367+038r4x/vVfi/Sfg/pt2Rn l90b1PHLcFn5oJ+u+AlfX/ldSnL188KlKm6P3vf2jPCRlNGtDhe8Iv2B+pT1 JuNdwdetr2So/cXA/9F5n8hP6+1M8/4txgeJfkIbUwcna3W8qptzIyJ7Y4zw ifCmv7eMiRfufyGnZ9JLNd6lbPXKcSujjld+7X2Dm1RUx6sKTRo0LFxHHa8m VFuzOLapOl55FE2/f9lUHa8M8gc32dFNHa8GJp1z+HWgOl7tDqv2cMBodbxK u77YuMlkdbzaeuVkeJVpH1V7XOa2e7vh42fvi/0ZGd9nLJ7dorXKF0zG5ZkY 5snz7N8gt4r+eMZ9nsq2e562OTjhpcQv2o92P9yx0YTAo23U72usxwZ3LuRQ u2i2UsxroXsbqxBZj1l13tso+Hmg1L+Bk63R8ehbwuVMrmb7tPIX/6Y9f5Ef r9wU7mVpd/9u71B1PnFmzXDrYJUdK35o1nFelDpfmFn91J0PKlsn+3cbFvpU +Pz2YYVqV1XHv/f+GzNLPE8Utphb63RoiyThXQct3XwLpgpnWySMXdtL5fZO hn3n18gQ3mRyvETXcSrb/vBiYdXq6ni5s5hX1NsOKnvVHXEvp746fibl1zYJ 76VyiXKXGwW1UsdT02fLV58ZqvLIj4ZLj3ZSx1enh4lPNoxT+UiG4wOnPup4 ++BG37ZTbVV++Tip6fhh6vj7/fkT63rYq9zrbr/lHcer4/GvB8rH1XFUWfv9 lPa0qknOufBJWTI/YL7O/ABmfgAzP4CZH8DMD2DmdzDlMR+jPJjyYMqDKQ+m PJjyYOZnfD9nPgYzH4OZj8HMx2DmYzDzMZj5GMx8DMYevt9jD4w9MPbA2ANj D4w9MPbA2ANjD/kD2ANjD4w9MPbA2ANjD4w9MOWTr0D5MOXDlA9TPkz5MOXD lA9TPvkRlA9TPkz5MOXDlA9TPkx55F9QHkx5MOXBlAdTHkx5MOWR30F5MOXB lAdTHkx5MP9Pvgj/D/P/MP8P8/8w/0e+Cf8H838w/wejT34K+jD6MM+Tv8Lz MHJt/q92P575LusJ8neY/8PIyc9gPYCc9QDMekDyf/XrAZj1AMx6AGY9ANP/ tfaQ/wGT34E+chg5z5PfIespff4G9iCn/2mfJ38DJj8D/7Ry8jF4HzxP+4R5 nnwM3if6tD9Y6k+fj0F9oE97g3mefAypT70+7Q3mefIxaB/o0/4kv0Pfvhg/ Ye34pq1P7XiHXOzRM/7AvA+Y9wkTX2DqU1s+4wtMvKf9wMiJxzDxkvYDIye+ wcQjWM4r6NsHjJx4QXuAkRMfqH8YOfGB+oaREy/YHyb/m/1k8rHZnya/mf1s 8pXZ/yb/mP1y8on5HkR+Pd+TyJ/mexP50HyPIr+Z71XkK/M9i/xj8vO135/I p+V7MPnGtEeYeKnVp72gz//xfQ3m+wGMfTDvA8YfmPcH4z/M+4Z5XzD1A/N+ Yb4fwHy/g6lvmO95MO0DZn+G8QSmv9N/GD+I5zD7OejD6LO/gxxGzn4Pchg5 +z/IYeTsByGHkRPPGR9kP1PPvD/OH8CcP6B9ER9pL+THw/Q/4ity3h/xiffP eQ3sk/mTvn45z0A8Yvwj/sHUL+c1iD+MX8RTmPbE+Ygl07xuBi1S4z3+st9E PIeJ5zDxHCaew5QP8/5h/IFpXzDrN5j1G8z6DWb9BrN+g1m/wazftOUb9o50 Nul1TZlVe7vdtErZMn68K9ymue/IjM/m24OSdkWtPfBEaVM/+vc//1Dj/+KQ XXUaPXsq8b6at/mpPS5R6nxwT/6KvuvuSzy/1T5rycFO2Yr3tKUhe9sFKuX3 Dtu86niGkvCyyDZPt3Dl/eVKo4z7Jim3x6/Pje0Tr+Rttcx3nh6nBGW4lTXI T1SmvLMvmHQ2WqkQ/P3s6Y7JSsEel+LnNHugfOzco7NvZqqydUiXSomLcxSn B+5+QT09dLYZ45zaLsxRNi1Zv2n1q8O6Pt0a2lazzlHS/TsE9Q1ZpfTbcuBh 8945Su6NaMeaaw78t58PcOk3w8jeLlvmh61ijzReeSZLMa94wc5kj/r8v3p+ gPY4ycdlQHy3h8qrJbvGH5mtzh/DZs4vsLlZumLi2/HokXuPlLw2SQu6F/vU 7903rx1c7e+fP0jKXNG78oxU6a+FLYouumuYrAyPnPs0Ik7NF/6r8wn0txJD 4pzfno5Tei2eUmTjUHV++rZdoaepExIUu+hxz9wOqPp/dZ6B/rwzxWZw/98T lYzUHfkmwfEyfx0XZFR4qm2sUr7fyTZhXb58/oF4cXJKQ8+6rZKVc0eD65W5 HSPz20c9Zx/NWBih5LacsMXliqr/V+cliEdOq8dZF12fqhiWGx1crEm4zH9P rnBp9t3GYGVpoLvhzFpfPl9BvGtnXi3y3aU0pdajfq7X5tyW+O+a8KiMbfIx mU9rz1cUaXmpZOUZ6nyZ+bP2e9O/er4i8apX604dsmT+yviS/ab748bxavvX zmcjhrn1H3pZbe9/dR7D+EWnzo/Tk2V+y/jklmtQ+X6lz89rMN5Ev1968sQP anvSzne7jf+1aI/0z89zMN/1LG7Q29ZGrW/tfHffb9mWzw9/ft6j0AvXFZVs fT8bf333BIXf8vs0bq7OnJg3KFtJyj/acl3dW0q91mMm9IxLURbt/2Wk86xY xS1uz+i2f/gr/S4Utcjulq4YnmrvlON/U5nSqmGpzrXTlZFp3fztBr+Q+utj bNJ5TE2V35iU8unfNUdp1rXxnN3HDyuusxpUGeqZrSR4j9gVtsBPqdKr/G8Z xbKUWoPrzNnc84Gy7ZDPmuxDn9qNb/Lyo4PDlPjr9U/dcn6u2I9MS41+9lhp cunMe6e+yYrn46HZ2T5PlSlzTTrWL3tZOXV/8ErviRmf5cOPft15U8N+Ebrr A4pOC9+To1QJGFOmpP8jXdn739fdFaOe9zLdcHHtmpwcxdG6ms+o3ZGyn8B8 O3fPW6Nu3jmKexuDLdMrq+3VZnXt9NjHp5Xqrf/8o0COOt82q1zqR7trGYpl w5jWvZZ6fjb/xr6HAwo8XDZcnX+PLz4uLHSiOp9ve6d/rUcn1PX95Johe54c y1KKuVdxnXFTXe9Ptstquf5KpsxXmO8xnllNq7p/docLunpjay4bMDtHuee9 4l3jwq6yP8L4rj3vVHho1o6qF4+Lv0aDI+YeqnTos/7K+SDaF/+3dl/JjOZT L6vP76/qMNnLW20fG2v+7r7+prDjxm2DCyXcUP7V8zP0B8r37t/gz1kVg+T/ TM2P5ZS+Eizs6VT70NW8UOGlTo+WzzBSmf7H/9WauK9Fw/bhIrecmDh0TukI 4dyuJz42bRAt7NXVNip6cJQw/V3ya+qarHaZEiPyvps7PJxpGCv8u8NuY/Om ccKLPi6u0eBTu5fvofr4wv/dyoidaXAnXuTP7AquaGSaIPzjuMmRBbslCVd/ 0uNmVHiiMPGM//v57pHaF+OfiXzlgMCWTwYkC4d1arHq0qhU4YtXSs3Zkpki THzl/wofnxk4/e1zkdcz3hK9dVKa8OyaL01mzsoQHr7rQd2+RVUmnvN/Q3u6 ddxSPEvk4wufuH7QTOVi75/McOmRrba3TkFJDmVVZj3H/2XVs0nuY5QrcoOE ObOsLFU+EnWoVj+rPOGdNbe7mDZSuWIHT+XIW3X91+an+TPSa+Qo0Y6+FseW nFNWTQ9oeKZcjrJ2UYeowk4XlAd3Uz74+WQrd5+YTIiM8VUaT7pdr356trLU sOS6lVFXZP2IfWYVA8zqN38p5Q0Mjbj54wSVXwaWmN1gSr5wUok3KeVbq8z6 kv/bWNB428d2r0S+26+TYUU7lXt52d0ymPNa7T9vxnZJN1OZ9Sj/F5296fmj Hm9EnnbafU7GApW3Hr1fJ9rhrbBTiu/2gH4qs37l/4yfvuh6YfA7kXfaW+j2 rZUqJ+w0tb+47r3wg4gG6fstVWa9y/8tDhmx09nqg8jXbp5idNBZZZPVrne2 7PgoXD9gTXeHCSr/0+fzevha1vN4maVkmp7WBWbe/cfP693pmeoVUD9d1vs9 bRIbLPkpTelyoVshZfy383x/9zzfjfw/Vy9pt1epWu56dwOHTNlvoz2FVPa8 WeATM99F/r3Nmw92BTyUZUUbxUy8rH4fPDUrIDLyofo9if2Y1VtbNBrlHa04 Zu6e+qGKnzL1w4xpZR6o+y9L022e/9gjQzk5a+PFWYv8Zf+lw9DF9lb/cU7O re3lJT/7K9VX/hHcOTNd8XnYyKlhx0ilufXeahevpCrnVgcsCP00TjWbf8Lr 5YhEJbRJ+eqZ+fHKH++uTFg1/alioITlP3ZLUtanrtvfwfWR8rjJQGfruilK hEN6mcC395QJpqPnxq96rnS3Hnvv4IRMpZxDk1W/5IUpM36xuVHM9FM9uncZ a7QjTvn5Q7U7xWzjFbf5c61TByYqC+PGBU+/+UT5vuXOo1vjnikjyzSvVNDy oWLxdJx98RGf1i+Vbtr9avVpPChcPcR53X3FN7LRivyCKcqCpm42F5qp38PY v2H9ArM+gll/wazvYNaPMPsbMOtjmP0S7f4R6x/sgbEHxh4Ye2DsgbEHxh4Y e2D2j2h/7B/B7B/B7B/B7B/B7B/B7B/BlEd7pjyY8mDKgylP+oO+PJjytN/X WS9SPkz5MOXDlA9TPkz5MOXDlM96lPJhyocpH6Z8mPJhyocpX/t9nfUu9sDY A2MPjD0w9sDYA2MPjD0w9hC/sAfGHhh7YOyBsQfGHhh7YOzRfp9nPY99MPbB 2AdjH4x9MPbB2AdjH4x92u/77CdgL4y9MPbC2AtjL4y9MPbC2AtjL4y92vwB 9jewH8Z+GPth7IexH8Z+GPth7IexH8Z+GPu1+Qvsv+APjD8w/sD4A+MPjD8w /sD4A+MPjD8w/sD4o82vYL8I/2D8g/EPxj8Y/2D8g/EPxj8Y/2D8g/EPxj8Y /7T5Iexv4S+MvzD+wvgL4y+MvzD+wvgL4y+MvzD+wvgL4y+MvzDzB+5zwH8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Gf/H/8h/Efxn8Y/2H8 h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn/t/YTsT3L+BeZ8k5yP1u83ch4EfRh9 GH0Yfc6PoA+jD6MPo8/5H/Rh9LXn42H2J+X8gv57AfuT7N/I/Ux6ufb7O3L2 P2D2L2D2H2D2D2DqQ1se+wG0D21+Fut39sO0+Visr2l/MPtxrKfZ72O9zH4i 62HJV9Ovd9kPZT3L/izrVfoTzPsmXx3mfAPnQ7Tn/ZFTHow9oq+3V+6/1PsD 4y/M+4F5n3J+SP/+YdoDTP3D1D9M/cPUP0z9w9S/9v5O7X0QrPdg7XpL2360 6y/kxA+Y+CHfC/TxAyZ+aP+f9RDvj/UB75f5MO+f+Sf1y/iDP8RjWHtfqva+ Gd4X8RomXsPEa5h4DROvYfoLTLyG6Y8w7x/mfcO8b5j3DfO+Yd43TH4K+SPk S7HfQn4V9z9yv6H2/Dnff9gPIh+GfBbuE2X/h3wY9nv43sT3K84L015hzq/I +XF9e6F8mP1L3idMvg75NZz3kvs+9Ky9TwI5rL1vg3hPeTDvg/smYO6boL3y PCz3Tejjk9w3oWfkxCvkMHLil9xnoWfkxDPksDbfCjmMnP6IHNbmm8HcN0F9 cX5d2364Pxfm/lzup+B5zrfD3FcBc74d5v4KmPPtMPdZwJxvh7nfAuZ8uzYf j/t3uX+Y9sp5Kpjz8DDzCS3L+Tl9+9f2h0O6wEJjzqvtk/Nj6Mt5Mv3zBvbr 628dofIY44E97r7OFX3Ok6Ev58u4nzeurE0RN5XL/X5vhWKmni9jPkT9Uf+w dv+YeE980N5vLvdv6OMD/Y/ztMiZn2nvl5B8ez3LeWM9M/+jvTLfkfPReiYf k/xC+gPzG8nX0TP5n+TP0r+Y/zBewOSTkl8r+fv6+ZHkW+uZ/FTyb+n/zJ8Y r2DyXcnPpf3RnvCf/S/iN/nG+Mv+CfmH5B/jH/sT5MOSj4w/rPfJpyU/GftZ L5OPS74y8Y/5H8x4j73UD/bx/rGH90v5vD/Kk/uT9eMJ+6O0V/o37Y3+SXvk ffK+GU/xD/upH5jnGQ95Hv+wD7n2voxv+Z//XvmfvP85pVstdbyW8Y/ng37p PpO/my/6pXzNv5tv+aV8ya/Nh/zafMevzWf82nzFr81H/Nr7Y7T3z3y7T+bf 6z4Z4jXzIW0+25fyTb+UL6rND/1S/qc231Ob36nN59Tmbxqsn7lwx/8jX/PV jhzDJ35qvoF2/U3+n/Z+HOZ71Afr88lPfy6zfE3Ot/tzvvL+nL+bL6vNB0ke Mz592MEwef9mH3vYXqut8pfu6/lSfua/W36u9v6gL+XjavNttfmyf/e+IW2+ 7ZfuH/pSPu63+4f+3v1DX5u//F+db/wtf/hb/vC3/OFv+cP/VP6wNr/3P5t/ q73/kPuCtPfzfbtv7H/2fWP/dP6w9rzUl85DVfF5nXZy0UPZH/52f9n/7PvL /n/ni2vP1/1X54/LfbTHxng55c3WfSmfXJtfj36sw+D8qaWylP8DGhd0sg== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlulv1VUQhufe0hWklZbFtpQuWLC0VNoi0GpBcVdQikVF2SpFq7YVEKVF BEQFUeSDxrjv+25c/gL3uMQlcYlGo9FoNBqNRqPR+L45T2M/PPmdc2bOnDkz c+bemp7BroFsRPwscsQJolPME7PERtEoThILxXwxVuSJfHGqWCTamWexUyRy 0esSy0SBmCwmiFIYL4qhCNsrRLcYJ5aKJWIMuoXorRRnixIxSRyMXXMQuj47 g09bRDN3Wi1WiTJRL2pEragSh4hyMSD6xXQxjbUKsUH0ikpRxx7LZ2DDa61i NudV4J/v3SKakPWIdWIKPtVjw3saWNtE/Gey5zBkl3GfRuaHsv9C0SeqxbAY Eofj+zR87SSHWWJm3yaS23ZylyWXecQ+n/UFkeoiQ26LyEceeSsiz2PZU0Re x5PPYmQZ9uSSqwn44nyWolfIvpFclo7K72T8XsW4lDuUk79JxL2cGFegV0V+ aolTHXHp5Wu9qchrsFXF2n7ydwSyeuK+kVw5d/1865A1kLOjRUekuqhFpx6Z 89qEbjPzemw2oD8VP5rwYQ53m8hdO/DLsqvEmZHeTiuyFvyfy17ndz45zSHv fl83iiPRWySOZf1K7mB7zn/nKBsLsXGyOD5SjdjGUdjx+cfgn20sZq2dM2w/ g90susehv5h5B3pLOMtnnoKNneI05PbrRPxagD/z2Oc+4v7j2nItlhCnFcTK dbmMcQFj1/AusXzUWlf835dOZ3056wXIurHXjf0S5Gcgd324/qYjPwsd95YL Ir1f17TfQxnflYxdx657941rxHmMLT8XnTJ0bOMcZLa/m3kJ8tXsvVqsYd8Q eW5GvhadNczLmK/DF3/dyyrxpQd5BTKvu3/5ncxAvp71kbdXzXcD4/MZW+ei SH3N63uYV0MfNvrQcTyvZX8l9OKL5Rejs1cMMh55tzP5DjAuIe7F6PWTt9nE pwXdS9AfZG7dX8Sj+Op7u4+7V38kPo5Uu7eJ1yK9sTvE55HqyW/wQKQ3dID5 yNv2G57D1+tz+e5H5/JIvw2N2HLtFpBL/174t8A16B4xjrN3Rno7W9hrna3i esauzd3EI6uH+ia+/SOeFdvEX+Jpzvdjfl6fHZHe5VLsryc3leRhL7Fyzbr+ yojldcTzUrGPu/hN7CHnayPV/RRk9nsWvm/F503st/wJ8Tu2X+IO9j+j7y2R +tQz4m/2PyX+ZP9j4lf8fSTSfyT7kq+9r0bqTQ+I7/HLsXmR+DwkfuTez4l/ xRXiBfFGpB53n/iWGNwjvibe2yP1XNfZMPvauNsQ+XScNhOrfcTe9/1NPB6p Hndgq418bsPGXeLLSLUwhE4r42H0tzNvY98we/8QT3L2ZmJtH9wr3Wddbz+J hyO9w5uIl2P1iijMpN8Bx2NMJt3tXfFOpP+er4ubOfc7cX+k3vONuDdS/3pP vB+p138qPon0P/QzcXukuntLvB3pN+BD8UGk/7A5mXSG7X8h7ozUv78Sd0f6 TciVTp64AX9fjuTzD+LBSH3O8lsj6fwHKs3UmQ== "]], Polygon[CompressedData[" 1:eJwt1HdvzmEUxvHzaCXeRt+DtE1j1KwVpARRQUoQpJUSxCit0iWxY9esvfeu LWLP2mrvXZvwPTnXH588fdL79zv3fd3nPCm5+dl5DcysI5LxCMvQCz3wFCvQ B73xAEvRHdnYgVNogUKsxmvkYgDW4B0GYTA24AvykI91+IihGIaLmIlmyMIW /MRojME2/ME4jMcmfEMBRmIlXqAv+uEaZqE52uMyruvvdCzCXXRGF5zDJdVO wwLsRSamYyf+YSIm4SbuoBMyVKtWeXrN25it533NLT2ToTVLlKln2Q1zYYl4 d2PMQyO+z+AzVdlcQTtltFx35HeTo7MsRled6arOnK5nqnTHfrc9cQPn0RYd cAJ/lW0lavBJd1OKg3imWlOwHw+19yIks9ekROx9gs7eMBHZeQY/cBwVGIXn OIQSix7zs+7hs4nFmT1r77FCZb7b42FNU63xXtiuWt4T97WnImVQhwMotujZ M9iHyWht0XvrMdyiB71X12KIRc++wmFMRX+LXtyKsRY9+USZeBY+M7+VYaXW vMURTMNAfMZRlKmmZ/HLorcrlMVLi94tUe03FrPke/DZ2YgRFjPk735vMVte 44JFD6fpTo/hu8VslKt2vcXslSmbxxa94Bmdxi60QUtldc9iNjyzr3pnufbw waJHSpWZz361zuq/AT6Lq5Sdz+RJzEcri9+MsxY9nqqa/r85qu1rfPYW6q4y LWZ9s0Xv+Mz/B7zwqys= "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmHmYz1UUxufe6mmlRYsooeyERCWSQgjZKskSUk1M06Qpg8HEiLK0kDbt i/Z930tUCi0iSvG0p6d9X9+385lHf7zPOffe87333LPe36/eyOL+Z+WCgoIL U0HBVqI9NegmzNZ4jrCTsIswWhgqHC/MTCFfTXhJWCLsIVws7CjsLBwmNBaa CCcKJwg1hNeEV4ViYYXwhjBOGCTsLhzAft63UHhdWC6UCEuFl4UxwiphpVAq tBMaCA2Fd4XVwkRhrbBGKBfWCe8JU4T3hfVChbBB+ECYJnwkfChUCiehy8FC W3if8ZbwpnC+cAhnNhIOhfrO7whvC2XCK8IyoUgYJZyGPdpjm6ZCJ+FAoaXQ WWgltBaOZM7jjkJzoYVwBNTfHM4ezYSj+O4g4RjsYh17oJ99cjTrbYTB3K+L 0B1Zy/VE1joeCz0cnzsWHBO9hQ7o1Zc7WN8+zB3BejP0Po65TviwCNv14zvf 2/FTXdghRew5jhxPA7ibdS/EF44Vx8gY/NILHX1m1//5zbYvxjebhI3CTSni rhTbrcSfzfBtGTrbhxOxtWOqHJs7pqbgG8dUBT5yTE3DBw2xZzv0bYtODZhr m7bEjeUcg5X4pjH2P5Tx0dy/KXdsj64dGDfH5h3SlvjoiK6dGLfEzp3QtTPj 1uzdGb0cN93Q1Xbsgq7dGDfh/MPQuzvfWNcejL3Wk3FVDPVEv974yjo5Jvpw h17IOdfHcY517Yuc9eufIl6s7wDGHdnD+54ujBCG4WPXnN24Zz/2cg46/1yL hqeoO/bPKSly/mDocOYHs+Z5x84Qvh3EObtzzlDOcm0rwYfD0Mcyt6Sooa6f I4VT2WcI4xrMjYI/mbO7sPdo9u+GP9oxdwbz/bGRbTMvRa7umiLenCOOx7Hw rtWXCmei2xJ4zzuunAuOqcv4xvOuY2cJe6WI22LuuBSZPVkvgj8bmb04u4jv 5rPm+YXCeUItYYFwjlAzRc03v7dwbop4MN8E3nlwBWueXwFfi/1K4ZvC+06v ca73X4VcbWE8963NfUo453Lu47tciVxt9Cphn6uFScK+KfLOtaKqjrs+tGJ9 IjLuCxPgr4LfJ0XPslwdYSrf7icsEi4Q6grXCJORsW/KOHMt85a/lu/Nu264 nrjOv4X+Put99qwHrWB/14FpfDeB/S0/nXnLu987rnbibhV8dx1ylnEPnSHs n6LnTmX/DcjUZ70S/nrG5h1Hi7G5z/E7wzF8v/AAPvXcRcy7N7hnuF/Mht8Z 6nF1dJ2D7Fz4XaBzkfdZ85i/K0WMOj5vT5EDjv87UsSEdbsnRbw6Bu5LEYuO Q9cB150a3OkG7PBQihhy/DyBL+3HR1LEge3sWuPe5nx9LEVsOU5uTZGrztOn 8LH9+xx2t81fwI624TMp4qYudroRW92Mbrthy4XY0/XgJe64CbmBKerBbczf hi3MOyfuxD7Op7uxw2JsZPvMwk/VWL8HmXuxV1Ve348Od2J37+m8fBBbPYjt qvLuXr51LD+M3R7GjuYdt49iN8fd09jhaexi/nF8YPs/iU1tz8mMzY/A7ra5 c+RZ7FyIreyj57F7fdafQ2Y6a56fxHl1sGchez6Kj/dlfglr/fXu/iRFHPod 6lxy/FQybsP+ziXn5AxkKvHbJnxsnZ3nFYzdt6p6zUb8uxH5gezl94dzfz3f 1mPfD7iLbev6VYbfXU9d3x0P7g1FjJfhx2XMm38V+ZrIeOxa67r4Nnb4TmiU oxeWIFOT8zegQxnyLdB5PXrazu+y30TtsZl7jRBfI0cfdl32+821eYLmJuWw Wblo9Rz9ebLoQTl69I6i43P0Ye/RjH12FZ2SoycPyTEeiq2tT2t4vwvrQtfB W7/V6LIaneug1xp0K2etDnd9B/tMQWY/6Fr4qezv9cnMlzP22a3wjd/ce0KX whfhJ/flNrrHDylqWCvxrXO8La4WvSZHTF8pelWOeJ8vuiBHzlwmenmOWJ8q WpGjZlwgOi1HbThF9OcU76YTxX+WIh6biv8xxZvMsd8n8xtDtCxH/frU/sxR x04Q/Rr/Hif+2Bx1/HjRfjnq+BWiC3Pk/QGiDXLkdInoOTnq8jjRbXO89c4T 3T7He+tjoUeOvjBdtDJHfZopOitHDbpE9NIceezfC+6vrj+uUa8Tv+OZPx9Y rqpvv4n8cuRd08bilzF877Wq985yZPw7xW+X2uy5Er4U3u8c19UVfHeRdLw4 R52da9vkqJczRC/MUZtni87JUWvHiqYc/cl58E2KXPhK6Jqjn3hf/3aqeluZ rwVdkba8wVaxXqTvco6+tUMOW9vOhaJ/p+iL54qvn+PN3VL0wBxv+TH+YyJH L+wi+mWK3nKa+D9S9ODPhcEaX2KbiO6f473eWPT7FO/p08X/maJPNxffIsfv 8NGiv6fo918I1XL0x4Y5Ys7xtkj8t6IvCkNz5IlzZLjoTyl68zHi++Z4b/i/ k+78f9IrRzw5lhybA4jPzcSxY9ixPyxH/DuWexPPJ+W4m+91qvjfUrw/BuVY 8/zJOcbmf0mRY86vUaK/pni7XJvjDtbf9cG14b9+pLl/Urw/HHOuC36n+8+g rXK8Ic4W3SbH22K7HDnjfCkW3TrH+8N+G4nvzhD9K8Xbwn4oxRf/AibG8Qg= "]], Polygon[CompressedData[" 1:eJwtlOdvjlEYh99zqxmKxt6NvUnsPWPESFCjtEaVqioao6hdq7YWtYmt9t7r X/FBEDv2vH65nw9XznWe53nPe849TuKM+WOyLRaLpUEcvAix2CAebGGsBOvx 6nAePwd98X3wEF8DA/E3jAWwGToxXwNn8EwYi4+BKvhOGIxXhBPRb4bhw2Eb XhnewgTmUxjHwUh8hPm7HfAVpjNPZZwIefgK829PQiqeAuO1DqzFq8HZ4Htq iifAaa0DnfF15mfL0pnx5eZrJUAy/o4xCXbBMubNoGrwM8Tw3pCHH4SA94FV +CEoiy+CqfgkGIWPNj+LYvI6iqFip5jH4y0hHT+lGOBJ5rHTf36JYqzY7obF eDnztadBLl4BkvHJMAP/FsVKeyjPfKn5t/qmND4ANuLH4B/0UgwYD0Ac3h/y 8aNg5jWg3B+Gv9CTeS5jMbTG28Ps4DkqhfdTjPEj8Bu6KyaM++AXdGOew7gX fkJX5gsYi+AHdGGezVgIqxVb83ykwPcoh8rdHvgDPZgvYdwPH1RXUT09hxy8 DDTGjwfP7UrzWCdFZ98Ft4PHYCdeF27hNxVzvB7cCf6NammqeS5UU+3wJua1 pRgcwhPhGf4UmqsXYKZyEzy2B83f5Ud7/Ri90563M68DN/DrwX/bAtKCr6Ha 2wN3g9egzr7N/FvFoBCvD/eCf6PaLIL7wWt0L94AHgR/ptwUwNXgOdqK14Zr wZ9twWvBFfwybMBrQAl+IcrlZvN3yukmvCZcwi9GtbLDPJaqmf14Q3gU/E7p iL+Kei8jeO0Uw+PgNaS9zjOvPe1ZsZljXnuKkdbShaZa05rK1Vzz3lTOFIss 895UTFT7C81rQT3wUnVtXiuK/3v1kXnvqz6G4kMgPvidpdrINO8V1YhilWFe e4qZermD+VnU07pLZ5rXsu7UT9CG+azgOW2LtzK/u/TsAN4IngSPgXpjo3ks 1SOftU/zXtCdp1pbYN7LqjnFfpZ5bykHugvTzHtFd6Jyl27eayVRr+Wb51I9 p/+eb9772oNyP9u8d1UD/wG4NbP5 "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHm8lmMa/vruG8lENM4QbbamlKZJGyr7vmZJCUkhTI2IWcwYwxg7fzGL JUuJpNIqLUqqkyMnp5zR5lQKLTRGMaVyXb/r+n6fP+7ffb/Ped/7eZ77vq7r ec7XcsDQXkOKhUJhTr1CIeAHZKEwCkHAroW9iD++CquHeBjsPcTfwJ6DjYT1 xtjz8KNgVyEeAf8K7DLER8B2Ir4a/gX40bDrEL8E/xrsYsQtYP9HfD38y/Bj YGcjPhz2LeJz4ZvCtiM+H74Z7DvEF8I3h32P+Ez4JrD/Id4DmwWbD+uFsZaw HUWt+23YDPsJsDdhU2Cvw8bCptq/AZtmPw72lv142Da/Pxl2BXLvgv/BeZlv ImwebLrn6Yt3+sAmIZ7t7zjnO/acc44953zX8/H73X5/lp/He90LPMZ8n8Jq Yf+BFUP7Xgyr9BzMvch+Lux9e85TZc/1fuiaMTf7fJt7Xe2xhbCPnZvvfuQ5 mLvGnrn3wncJ+wDxKthnsHVF4YnfLoMtcb5K+9lea61zc85P/B7nqfP+OHYD 8gyCLUW8dyjfSs+1zGtcbc98y52jxjmqnXc4vr0j9Pd94dfCfw7bJ5Rvrde+ yvnW27PeG+y5rv3wfgPYGu+ztJalrgdr/IXz8e8bnZf5voZtgm2G/Sw0f+n5 c3+3xf5L2IF4p1EoRxPzg1g8IPTdV7CfI24c+o5cI3fJ4cGIDwq9Q86Su+Qw OUvuksPkKblLDpP75Ct5+wvEFaH17g/fMFQDcpY8Jp8nu4/E5RkYP8HcaGaO kj/NzXXiuIV5STy3tE6QP03Nb3LvcPN+rPc5xfOQT+TbxGKZt1OKZa5O8xzT /cw53vYz5yhpQInnU13fde5NiZ+zjZVPjB0+E68LnJfcmeu88/zMvO/5uWAO cb5K43CJa8Qc8z1P5U/yEp/kQIm3lcUyV4kn8rLK+W+3Jtcz7/nd4mKZ54u8 v7nOt9DzVxfLuvOO17Xc+0xzq8q5yKNlzl3r52rXo9bz8P2SBtQ43yBzi88r Xdu1zrXKY/yePFrtfHV+Ji/rvJ47Q1ytH2Vu83ueLT8YAyV+sncNjM06z8m+ lvhHT16R78dGmeMb/V5Dc2u93yMPNxknxOS4YpmTpb+RE+TUzSGOkSfEKrlJ bA712lmLI0Pnx2T/bbtzNzJfuYbG5tlmz0fuEMtHu8/EEzG803unsQ6T7Hc5 Pip0fhBrx4TORWLkNyFcznBe8nGCbYdztwqdJex/a98F2LcPjA9ioxP8L631 bUJazJ6yrvu4tseH1l3wWBu/c5jPatbp0NB9gnrUPqSDrGsX+OOsNSeFdGeD e8V6sVYdQtrH+jPHISFN22l8sDZd4X9l3dzgHrO/PUO6xlr3COnmFvezwjm7 hzSXc3aD/7W19cSQ7lPz24XwRLxwT03cf9bvGPOSfaaulXBETSz1lppY6gM1 kX3oDN/W5wpxRB0kXva4r7PcK+om+7Xb2CKu2IfW7tca84FcYA9buafp3pG3 BfeIuNrm3nD91AxqB3WOXOa5u6Ioree58qJreZzrwz60d+8aueasJ8+cDq5n Y9eQNT4VviNsa1Hv9vD7/HvPKJ81XYwB9qGr+8hedXMviHeeNcR8W2OFfea6 unttvJN0MlbZt86u7emwk2H/de0vCdWV6+L6DoadEjrPdrm3Z/2kJ+dEubfn Rbm3F4R6S67xrJqJ+DTn3Oq+XRplnF4e4i7P4N7G8JWheJTH+DzS3O5jbBM7 F4Ww08CY4d7JoXbGZL/QGc9znb6fc/Jc53nPs/6aUDzaY9f4ffaY9wC+2z8U 8z5BTRtkPNxobBBLA0LYeM0YGeD3ea/nXYHYGRiKx3hsoN9fapzVeM7+Xg/3 2tc1JGZv9Fys7ZAQfomxwa5thWPijf5mj9/quML+Fo8zP3NRD0e4RuwD93ST 98h1cc/U8N86XuE68Jn6Tv7wbOa5XLojUmeqPE7tHOK5ZnpsmMe3mBvUfI7d 7vE/4n+xeikcLoD93vFc2J2pfV8PvzTE7SpiPKWpM5knxcvL4B9wnbfCTwhp 2KUYvzzVg2ncSwo7Q+CXh7T8EcRrQrx8CPGqELduQVwb0nS+e2vq/Y7uB2s7 lv1KadI41j11DkxkHVK6WYR/KqTfzxPnKT17CfGe0Jn3KuzRFI+nwx5PaQP7 wbsC7wnz4J9MacNs2BMpzVgI+yKk9Yth+6Y0bjLssZQefM19uqdPeM/c72Pe M/f7Suh/Y+roSHIhpfEPkS8pDX0BdlVKp79HfHdKPx6FPZji5+Owh1Oatwn2 55R+3Q//WQineyP+V+g8uQnxxyFN/6e/OcG9mhrq10biJdT30zDeM8Xzr1w7 1u0PGFvr/rCuhVRtuY+XQ3tZB7svxY274OtC2j0GdkOKD+9zXSHd5L2M9zOe M/X9XOrJcI/X+ZnxHcixOnROsIdvhfpIjBPfxPYBiJ8JnUXr2dPQPYJ1HRGq bS/EF6b05QL4c1J6cTb86Sn9egB+WUgz/g67IqU5vVO4H+g+fBrqBfuzItQj Ym2063Yb4pUhPSU2nwvhk1h+I4Rn4mhSCEvE9ZshbG8gNkO1Ge9nxiex5yld 6wbfKaXv5MrrIb4sgV2dukM87P1wL/fAbw5pyBGIj0ydAexnjfnSP/U9v306 xDHyi3owI6QJJyP+a+gsoJbMCfG2UYon5AhxdIqx1D01N+clNvdK4ZM8mxXi 2nbYt6HzdDf8P0L4XxTSMva3PjUg9ZsNcfSdsUTuvhviL3Nsc56d8DtC52c1 rG/qDvRv84RrYC17uJ5nwN8XOr/uhf8ydG7+Df781HnUFr5d6gw+mvlSv0W1 J9dTv119Y6xzbexPF/eoA7UhdWYfD98x9TtQv9T6uLZW7FXqPtEGvnXqtyji 9Dxj9Vz4+0NnHNd7amrNfeA/DN3n+PezUu8Q12eWsA27JKXnnVP75B7Zz66p nvKsmG9O7UddT91dLkrVgnWgrgxMacuz5h55R3w9aIxVhjSU+rk//t4w9ftc Y2pt6g5ETg9L8fovKT2lln4EvyV0llFLhqf0hOfG4NTZQV2519rSAr556rc9 8vtic5y69buUdgX8XaG7Ps+961JnHzk6NMXTw+CbpH4v/BP8ial7E+t6YKq2 FcRj6vfFQ+APTd3hmsI3S93hfgSsu+iv "]], Polygon[CompressedData[" 1:eJwtlXmwzlUYx99+5xEirfb1dskSWZJL1tJ1lQq3qAxGSAtDq5AQNe1RtE0R FSltJEsKrTM1+idjJmOapqkmmqlJm736fH3PH5/3eZ5zzu+c8z7bKRs/rXpq USqV5kJADX5qwaBUKv3JxDT0d9FrQye4DXsTsi50hnOx5yLPgqtgETwEbaA7 /Az3sWYKsgG0R5+DLINquA57JbKAtvAjzGfs5uRvWqPfg2wFw+AJeBjawfkw g/mPkafDeXAn9ofIU6ArPAULoRv0gn3wCzSGlfy/Dcj3oR70gdX5DO1dQ/uy XwO4FP0f1u9J/kZrO8K3sAX6yhdZ3wan5bHZfLsjn3chnIw9E9kMBkNN7BnI Jsk+/wZ+h97wPec9iXw0n9UD9mafypcNYX3yGs3VgV/ht3z3r/i+Cfvfjd4C LoPvYDv0gy5wGA7BRTAQFsNj+b9UwBJ4PK/tCZ9kn8qXZ8LWvKZn/s/a+9M8 pzOOwh8wAC6Gz+CLfPf+MEfxhfXc9QLszfkOFTkmx+C55LlKqM/aWcjmyTE5 B7tzOPeOsMcBxQn2Fz6zjLk24dw5VNgXzbEvzz5pgd4MDhYea4zeEA5gD0k+ q1FY15nz4GCO5bHCvvtS98o+rMvak+Av5qoUA/g3r1cOKNZ1wnOK+QtwKnZT 5N+KdzgHFPvpykXsr3Msb0/OnTMYuyTnkGrlB+Tk5JoZhj0UXmP9eMUhnMPK XX2zAH2/cqzwN09DYqyR4sTYs9nnlfnO5WEfyndDsduhnw2HsYdjdwrHQL6/ MrlW24bnVLOq9Y7hOdV8N/QucJT1I5J7R9ewrh5Sgd4jXJvXKK/Qe4X1VYz1 Q++rGkcfxVgV+mAYi76asdnaJ3zXlvoP6APC345WjNAHhvVXGeuN3ie8l3Jw EHpleE573o/+ErIEU2GIekH4rHGqKeVSWJfPH0B/B70W3ALDsavDsXid+VeQ 4+TD5J43UWcpBtAeduaYK9YnqKbQl+bcKEeOwV6B/K/wHg/mO+pu8onu+lNy 79WdRzH3onKQudbI2tjPJ/d25dzu5Jybnu8c6M/kXFC+qjZawRXJNaLaaBru JaoR5Xq9cC9Tziu23WFkcoynoL+NXlO1Kh/A9YxNQt6gPE/uCeoF6tE3Mfcm 8kTokJxrHcJvhXJuLfK95F6nHjmWuZezr/TmLINrw77Sfx6JfjVMxF6DvSvf QWfrDRmh3hGOjdYsh9FhX8nHq5ATwm9Tyndfg7wx+T/ciz0P9hQe+wDuCL+N eoM+grvCb9HxNyrcQ9Q75CPV4pHk3quaXKc8C/tKb+5bMDnsC/lwI9wafov1 Bj+SnHPKNd3hc+Ss8FuonvSG7hrOLfm0ZbhGVBuK6f+opt0x "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxVmXnc11MWxx957rmIlGQNWadQQmSJKSr7lrGN7FvWxhIyxj6rdca+LxmF GEvIWLOVpbEkhRAqmUrKOi2az3vO5/fK/HGec793Pffcc8/nc3/P2kcO7HdK i6ampoX6s6T0xqWpaTtJD8lekqubm5pukTyi8jXSt0oeV/k66dsl50VT09m1 qemPqntBcp5kH8kIybVqvw1R+VzJ3pJnJTepbojkHyo/KLlZ5X9K3yB9p2Sk ytdL3yF5ReXzJftKxkgukPxK8rDa7pXcJ3lD3xdJ9pf0k/xddcMl/1L5QMkB ksf1/YDkQclr+r5Qsl/JOvrf4zb0UPbrue+XPK1+N0rfJTmo5NwjsN99h0ke ssamdupTJCF5zLawzrusLXmd/TbnHlhnaMn5npY825xjsPdJz0u/V9z+jGWE +70secptL3gMcx9csv4lyfOSJ/Cr5DnPzfdoz8WaY6xpf9ttY2wv40dJZmnO mZL+JfcwymuOtC+w9VXPwZgZJdcfy1nYFux9x3O/ajse9PhxrmPNN92Xfb9l PdprjvQ+D9H8b0i/J2lSea70N5IPPJ5xH1qzp4+8Nuu8b5voN9XfjJvkvvSb Ipnots+8zgTJ59a0HaZ1x0tPlnzsuTnnaZ6P9b+wZu45npc1v7RNjPuq5Bwz JV+rPFtyuOQ7fU933+megzGzvOanjLXGxrmee5rrxtvub1yHLbPdl318bd3Y a+OsvnXf6d7rG26bZxtZf7416y/0vMz3H87e/b7VHn5ozvuwwH3p9z17kxwp WaKkfazZoqRm34vsL/b0k+fmOzznj5JaUrNma8/FHEuXtBUbW3ptbFymZB3f c0rayfilSs7BmGVL9mXN5UpqbPkPa0mOwl7iTXIEtkiaJW0lrUr2JR6XL6mx 6dCS8cp5rOj++OQ1xwtxs6rtxsbVrLG9fUmbsGWVkrbSbz2vyXyruy/92kTW rys5mm/J2vRV/QqSIlnTtmLjGp6b7/U9HzlsA+uVJJuUHLOWpKNkZduyYUm7 sbeT6/jeXLKObfiF52DMRu6LvRtbs79jJR0kXb0GdnGem7oe+zu7L/Z2sV7T 81b7ZTP3Ze2zJWdJfinp7v1gy1bW7GMb280+tvT+6XeZ5Hivv7X70u9SyXG2 c3vb1MVrdLGfenif7G9bz8335ZITbOMVkhPtp+slZ3jcVZKTJVtI/iYZaNv/ KjnFNm7hs8fWKyUnSbpJrpb8xvu7RnKqbb9BMqgkrnfzmTD+RsmZ3se1ktPs j+skp9t2zi3s3wGSnpLeJTGEPA9m7OK6PpKJkgmSvpI9JDuXbEfv6H7gKTgP 3u+u8k5uhwOA+WA/HAPuAIeAD8A14BzwEPgIvGSSyh9Kdi3JK8BncBpOAb+A Z4DPYAsYAzeBR4Dx8AjwH8yGX8Ap6Pvrkhj/aHNyFrgM/AC+AL8A3+EacAr4 QQP7WQPOAz+CJ9HvYbcxHvyHBzR4Bt/z1P9dyXDP9YjHLK/72UpyX8l5wbsn PNeT/h5Wkjc85flo50z4Bjdf8lz/9BgErB7lvs/7/Ea6ju/HfJ4NfoF+2vKK 56VudPNiPAYr3/JcYPcYzwc/aHCH19z2gG1srDPGc8Ap4Apv2G7wZ6zb3/Ea wz1uhOca5zZsetNjGlyB7+18/zp7XjAMHPxM3y9JLi7ZD4x+v3kxV/jA84Kx kzwv7RPdBoZOtU2TPOZ9101pXswPPvOYKf4m74PHk237x16jwQ+meb7pP/sG E8E+uAD8YEbzYrxv4D8anKUN/PrR8zb4AnbM9pgG3s/2Gt96jffc71OP+c5t 2D7HY6baFr4b+ESeBwPBUfB4adeBAawBhi7w+J/8zRxg4iLbRDt4PM/jyeGs schj2NNSzj+sQS4CNxvYz3eDNzR4BJo15ttW5mUd8HEZjyGvgW0NjF+2LMbs BoajaZv1MxvZA31ber3WHgMvgAesYFtX9hozPa6xj1XcBv6Ds229n3b+hhN9 63bWWN2+nuA82sdzgEUdbSsYCBYeUxLvO9hu6trbvrXcD+wHH9t4bXBgXdsK Jm5g+zr6G5vWdz+4A9wCbCVnjnbe5Mw3tE0NXG/g/EZua2B2Z9sHrna1fZ09 Brs2cxtrbO5v7Ovmb2xpYGCDozQwu7vb1nN7t7IY77v7jNvbRva3tduwD6zb pizGcjBxcEnMA7fIx8Pt/85uJ8f8tuQ7GUwiX4NvYCS4tIfPDHwD53YriXN7 +Lt3+X9s3Nl9f1fyrQxuIGAQuHF7ybx1kDVvXfIiuMU5gEX0A+Oow/c9vLcX PW8/9wP7wCgEXAN/lo2cmxzbyf7AR3dILin5pqQf2He/9YEuj3W+I//Nd19y +Z3Svy/JfReWfC+RtxaVfN+Qt5aMfAcQ8zeV5Mrkyx3tf/y0RJhrq36I9F/c dkvJuCem/lySRxJXd5X8TYL70FpjI5K3E1vHuw+xdYLr8NHp3jNxc5LjjXg6 xfGEnOx2YuQsxwH9TvR8xNlAjyO2fuM6zuEMr9PBdq3tGBrkdnx9qsdhx2mu wxf4jzzNemd6HO3XuE8/n28jXs5zzBAXF/jMialz3Ydz+IPnJl7Od8wc4vMC MxtxRowd7Bh4yvFykWOBOLrQsXS0fd7G5/An7xV//NU+GeCz62nfX/azM7nU 58J9OqckxzvO59rVPr7cfuZ8rrDv8fHf7Oe7S8bHYPvyavuTc7vSZ8d5XuXz ZK/9vV/O/1r7Hq4JB4V/cs43+qzx2U32G/u7xXvkTG7wuYzDx5Id7I+b7ZPB tg0fEOPcDfxN/N7lmLin5O9le9tPt9pXy0XezwbnQ8PLyEfkpb7uAy+Eu95f Mh/19Lnd63HPl+THdzdn3TDX93Z/5nur5HjGvi15QNKrJDcmBxEX81zPHuGr 97vPA7aHMnHN24bY5jc+1oWTcw94Y3AX4MqP+KwfLVmGQ+P3EW7nd8KHbfOT Jd8Dd3gcY8i9vBlG+tyeKHl2t/sM+b7N8z3m+dEjXM+4J92fNwnvkOttL/4a 4rqnvO4zJd8wjfcGZcY9VNJW9kpfxtzp9mdcZv+8VRjHXRxV8r4+6LHskTsH R+VOP1ey/xCPe87rcr9fLnl3L5D/B9eMR+76qyXvJZyktfMeZwuG9fHZLh+L 6yj38rm1cnmY42mo52AuuE1Ll5cs2UZMjnAOp21Jr0sZPrSN9FuR5wd/aGcO saLLzLmi+8JHwH3awXxydmv3aecxbYxRrPuoMWs5l3l7flDyPYiAweDrl5L3 fUfIW2NLYhd7fLPk2C8c673cb4LvwhTfB+4Cb7X33E6cv+P4ny4Z7zJ141xu 7LOt7Zhgu3i3fizZsyQX+NBlbJzo+blnvFUu9riJP9vTJPf/t+Qj13/k+l09 9yfug98nO67Gew/Y9oP9jm/hnMtE8s7w70Nt3IdzBZdpA4PB3+bIes4aDCvm hP/rayxva8xl/qM8L3PCQfmNBJ51ouq2rvk7zVbSr0Xm2jYqt675O/2y0i1r /vbfSnr5mvENx6jq/6LsWUV1q9Y815Wk29X8n0Bb6RUlr6u8rfRJkT7eXuVT In3G22qpyPfVQpc/ac43KfPzLoWrLK3yv5uzz08l8bMpso36Oe4Hn5nr/nMc 823tB/yHn79vduy7PtynWFawPxs2TTanWlASh4k98i/3tUXkvMyJbmGe9JPH spcF9teL5l3YfbhjYZ7jYYb7wNm4v/zWyfmuLl+tVvN/KcM9hvgEuz4viZ8v ab6jI/F2jPSAyNz/qvTxkdjI2Z7g8+0v3anmXfpA5fci8/FA6V/WjN+7VD4t kl+/LH1MJN8ZLX1cJIa8In1sJG7zP6jzI/F2Lem5kTlzTelZkTnzZOkeNXPE KirfGYkdg1R3qtc6XbpnzTuzhnSvMD+QXimSl7xAjEfymlH4O5JTPI9fI7nG 9tLta+aXKSpPjsSYDtyhyPv4unT3SL5zg/R2kRj7I3cxEnu+Iu4i8eNL6amR 2PKN9OxIPFhDenokvgzQmh09z4vSR0Xyo+ekD4vkTWDFhZF40VflSyK5xifS H0bi5RPSj0TymGekD4nka89KHxrJxcZLvx2JwU+zZiSP463xaUk+uqrq3o3E 3PbSn0di6JHOO+SWw30PuTsIcc+7mbu40PeAWPnSsccdYuz35jnTSuZt9Bcu /6/dfRr5q3jsEs513BPuKjntB99hfldo6fxG/oOvTS3pH2z82ncK22a7DEcD J3p6vm+cE8gBc13Gj9N914g/cje5mjwzy3ezr/r3jswtu0jv5Ht6k/TNkTxy PZ3X+jVx5gTpjSK55O7Su/ru95PeOzLvri79cSS32Ut6j0jfr0YujOQ/u2qe 3Wr6by3pX0Xy9/62D25MLpxpOynPd84YqP5dIzks/agb672Ta/DpmepzZiQP vZU1I312luoHR3LqdVU+MBKDO0lvGonLW6j+6kgeubTKy1T/7lDzvnHXLpPe ryanv1TlfWty/UNr5g7yRlU5av4/uV/N+8Bd2FJ6z8hc101658jzwpe/tT9v l3488i2yS809YP/m0n0iY2Azclekf7aQ3i0y9vavmSPID5dLH1DzLXRgzTxC DlkovSDy/+d71rxv3LU/cFci30V/4uxqvpd2r3nfuGs7qbxzzRhdQrpFTe74 dWTuI+/9mRxT8+10hcoH1Xwv9a+Zu8nbxMW5jo0rpQ+u+Xb6i8r71Hxr7V3z /nP3f10zv5BbiLXfOd6I2XMct83qU2ry1E1q7p+9d61pBzZsWnM91uqGXZFv g83xU+R7rEvNM+Z8N6zpC/ywpcrXRL67Nqq5T/ZIXpzj3DgjMj+SGzcjRiLf zOTRL5xLN665T/bYuWYMET/TInMW+Ypxh9QcSz6eGZmTO0fGDTHTXe3XRr4V e6m8Q8082EN1D0W+6e6WHhL5xhsmPTTy9xXe0PAU3tbfRWIY+NWhJr8nVw+X vijyPXyf9Nm+OxtGxh+xt0HNuCFmNo6MUeITPPk+ElM2iYx7Yr5LZLwSq/j7 sJo+b5JeFJnL942859zxx1Q+I/Kd+qj0/r4XYPjESBzvrb59avID8OSjSEwB 38AnsGkd6QMiuTXYOzYSf/HfcTV92FH64Eje+o9I7AQ335TeOvK9tUMkTpOr JkXmNXIauH1WZD0YNS4Sp/Df2jV9+LDKIyJz8zuRnAA+MCESt8Aszm1bn92x NTkNfObomlwHnrNfZN4kZx5Zk6PATz6NzL/kXs6KfMd5HV6Tu8Bb5knPj3wH EvtH1Ix/uA+8BJ8Misyh5E/i/ZiaMb9jJAaQ/7eK5BNwCbjGZ5F8g9x5VM38 +V94OtYJ "]], Polygon[CompressedData[" 1:eJwtlmdwlUUYha/h7q5dsWEbx9B7sYGAgBQFUUqAAAEihiYSEjpKUxTE3gtK JwG7iIpYxrFgFxApigyKiAIWHJQxiiL6nDn5ceaes7v3K28575dbVJpXkpPJ ZMpAFvRPmUw/UBoymQfA4cgieg08D3yN3g4Wcng1uhN8LPuH4TtYOxNeh7V+ 6PWgAv4HKGPvbfRj8A6gEP44OAj/F7wL7wkuhq8HK+AvgK/g28Cq4Ht2ho/j Hhl+f0KfBD8NrGU/H/zC+s9gCXtvorfCvwQLsr7GZvgW8FLw2l74j+CN4P+0 hY/heofQa9B94fmgBH0/OA5eFXwC7wN6wfNAMfxesIn/bwTzs77HNPho9ivg RWACulzxgy8H3eAT2M/yWwXdld/x6Bx+K7jGkfBjwUfs9QbTWS9BH4QPAafC a7N2c3AMqqHPSo59X9CcvbVgCrw7mAR/DTwFn6V4c7YFmAy/HrzC3mqwDD5C 92CvCEyAPwoGwAvAGPiDOgMfDiYpt2AQfCAYC38IlHCtS9DbVTtgF/p7PQN8 Me/3J/yv6NooR7eDPwkW616gGN6S/29VLYA96N3R/1XOrmavEIyDPwz+ia4p 1dI7IBf+dzSfBibDR3J+H3ygYoR+HTwD3wCGsTcUTITPBWXR19B/lbNv4Dui a38RzxA5WwN9I/oD0AF9BHgP/p3A3s7os3rnKfBR7O+HDwZT0cXoA/BrBPhg MB7+SHAvtAQrg3viZdVudG6Uo2rwz6J7ZV7WuX1VMQzO8SF4dTAjuMdyuXYf 9HD47SCgq4Be8PdBP/UCeA7+OchJ9gD1vt7pd/gB8FZwT9divz96E3qjelhn o2uzqt4H3pgz9wX30BB002RvUQ1di74wubYU86HoZsm1pRoqRDdA3w0fpZih GyX32mjlH90QfU9wD45EX5ScO9VkEbpJcu/K065DN0+uVdX8CPQFybFWjQ9D n5dcu6qp1no2eQ18W3Dt1I/2BtWQctkw2vuU0+Hw85NrUTmsp2vLY+BfgBPR tdAzgz1kIfwW9QR8gXIG78iZXfAlwbmomRxb5eQcePvo2p0Njk72CHnDh+A/ 9i5F7wz27N7oc9G3BedctdFGNRNcI3qWk9n/NPiZTkn2VHmp1k5I9jx53ceg JuePT+Y3Bdf+Ucn3Vg/Ii05Hrwv2pDOSPUlepLX28GWcmR78jAXw2qzdqdiC TsnvqHdTDDbID8G3wT3Qjr0V0V6hteXRPadeWwTqyH+iY70ZtJVXKT/qXTAI Xp+1u1QLwd5UGr0nj5LXjI7OtTznbHQ99VzWMdsH/zV6tizNuncbVc4i9bC8 +8roXpaHPwEmRnutPG02vEZyb+0Bc9B10Vvge3VGXlHZ34qJaqN6sjepRprK q8BS1WownwHmBK+p1lole6Vqrm50jBSbAtAgusZUW5rB+fBno71A93xevQ/K 4OWgO9fqlhwr9eCA6Bgrtnrm+ehe0c8yH/RRLSb3pnq+J7xHcu+qR+UVKyvn izzjKsUrOffKSSv2VkXPxh7gN/j+6FjLczQru0fPUs3MjuBpcKu8QD2js2Bq 8Ax+MTrGiq3u2TU5B4r9bjAL3iW59+4Irs3W0fdWjepbQDNJs0jfBJrljaNn s2a6ZnGT6Nmtmaxvky7R3q5vFH0bXRb9bPpGOia5h9Q7mumdtZ987x+CY395 MlcOboj+ZtK3kt5RXtQmeZbKk5qh50bnVjW6Dt4ietYrBjOjc6TcyAPmRXu0 vHmeelbXjuaqIc3CK5Jjo5mo2ZFNng2aIZoVKXnWaWb8D8yEYWw= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0rdSlkEABdCPDAUFhQUFBQUFhYUFhQUvQMkj8ADyIhZkkaQSFZGcQYKC KCgoUYkGBAkKiBIEgfMPxZl7d2c2zM4mZ2Vn3gkLguAutwn1KOKIJ4EbJJJE MimkcpNbpJFOUWi9DTrkOOF6p4yVhfIN7bwixly+vMdI6DzjUdnKJW3B9WUK xGsi9Egu9BbOaeY/LzmjiVMa+ccLTnjGEQ0cM8xfnnJIPX8Y4jdP2OcxBwyy Rx0/qeUXA+xSwzbV7PCcLarYpJIf9LPBI9Z5yHf6+MYDvlDBV3r5TDmrlLFG DyuUskQJy3Qzxn26KCbam0WRp39ikXk+skAuM8zynmk+kMMkU0zwjrfMkRFc /5UrT9dcMg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{267, 266, 270, 592, 583, 584, 582, 586, 585, 484, 588, 589, 587, 591, 590, 485, 594, 595, 593, 597, 596, 486, 550, 633, 524, 581, 491, 579, 490, 580, 483, 269, 268, 267}], Line[CompressedData[" 1:eJwl0sdOVVEAhtFzKUqZIUgHERyRwICOdETpCAwZAJfeUQEd0psUFQWVh+Mp KNJX4mDlO/mzd3IGOyc81zMbCoJghzMfuTyJCIKPfKCBaObJ4ZS/1BPFHC/4 w2/qiGSWbE44ppYIZsjiFz+pIcQ0mRzxg2oCpsjgO9+o4sE/Tmo6hxzwmnv7 hKaxzx6V3NnHNZWv7FLBrX1MU9hhm3Ju7KOazBablHFtH9HnbLBOKf/sw5rE GquUcGUf0kRWWKaYc3u/JvCKPAooJJ9nDHLh3IBealhfssBTPhHDIrl8JpYl 4vhCPH3uvqGJt7yjmRZaaaOdDjrp4j3d9NBLI0Wh/+/jEfxLNiA= "]], Line[{551, 497, 527, 496, 669, 668, 487, 599, 493, 598, 492, 635, 636, 634, 525, 489, 561, 560, 553, 526, 637, 494, 602, 488, 601, 600, 603, 495, 562, 638, 639, 529, 604, 499, 563, 605, 606, 500, 554, 557, 556, 498, 552, 528, 551}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1FWUVWUYgOHNDCkpId0hJS3d3SBdIlISygACDl0zdJf0FN1dSgiSi1IJ RQWlkb4TWMRzFhfPef/v2/vmrH32yds9otWAREEQ5PIRExYEK8kSHgTfEZ44 CBZpmH6vifWsjtL/dRxlnctRijKUZqx9CS1JMT6hOGPsi2hRClGYjxltX0AL kpf85GOUfW7NQw5ykZOR9tk0O5nJShZG2GfSj0hPRjIw3D61puEDUpGSSPtk mpwkLDUn1WWaQs9rOl2uaXWFfqgXtKOu1A4ao530onbRWO2scfq5/qLddJV+ oav1S72kPXSNdte12lOvaB/dpF/pZu2rV7W/btF+ulW/1ms6QHfoN7pTI/Qv HaR7daDu08F6XYfoj/qtHtSh+k/ouetPOkyPaqTe1BF6QofrSU0Ueg6ccX7B S17xnIn2t3SC3tYovaf3OcVpjvMv012brQs5xhzzz3qEG0wzz9IFHGK2+bD+ wN9MNc/U+exnlvmA7uFPpphn6Dx2MdO8W7fzjN9D1+z+0LtsY7J5uj4N/cad x9ObjeZeukEvM8l5ms5lHTPM6/UJj/k1dM3uNw30rSbQ1Xlq6Ltyh3ii7abo I8Y6V6M6lalKldB7EnqHeOieJbxmMW84x388YDzl3VeBT6lERSbY19Ra1KAO tZloX0/rU5eGNCDKvrE2oRHNaEq0fQttSXNa8RmT7NtoW1rTnnZMtt/of2UV CcQTR2zY+/+cd/Zukfw= "]], Line[{836, 753, 1013, 1012, 1014, 1015, 1011, 971, 1010, 1020, 836}]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0EcyAwAYhuHfTHCDqAlOQawcwThCDsCQycY1UrRVXMBBdKJF7xGdCEvP TBbPvOvvG8nOTE13RMQkxUREgfnOiGRXxAajrDPGJrPkuyPmdJUKveyxzy4H VOnjiGMOqXFCP2ecc8olFwxwzQ1X3HHLIA88cs8TdVI880KDN15J88En73zz xRA/tGjyxy/DrDFhV053GGeLDNv0sOKbZZZYZIEypUT7u3/YQDi7 "]], Line[CompressedData[" 1:eJwl1MV3lUcYwOEPGtzdCe6uRYMHCAnuHtwSWpwK7u60SDkHbZGDu7tsWdN1 /4AucJ73sHjym5nkS+6dmdya2blDcvIkSdLBl8spSXKWUfmSpH7+JKlcIEmq UIFKVKSe9XJantKUpQx1rZfUUhSjBMWpY72IFqUghSlEbev5tQA/kI8Ualn/ xGfe85EP1OQ4J1jINTpxkc6cpIfnu/PVONEvmlfz0JNT5g2YadxFD9KShlS1 1lVvcovFwdoiPc0ZujHfWpq2ohGzzJdod6oZ99Dq2pte/G3emNnxGvQPlrHE fKn+Qy/68FM8p61pwhzz5ZpOP34276ttaMpc81+0PwNYYJ6hbWnGPPNfNZOB sW/mWdqO5uSY/6aDGMJgDvEnK1jq+7/rWVqQaz5UD7Mq3of5Sq2hwzRVh8dZ 6Wo9xwiucJVLjKZu3AvuGI+itvE6zdD+3DYeSS3jNXqUI7EH5mtjr2IfSOe8 +YW4F+7sMnqSTgYDyCSLf5nv59I8k6tdNEe76oG4QzpPO+rcuFu6P+6GjtP6 Ojbuj27Qy9zgOn9xjPXU8/0xejfOxDiTjXFXdLzeI8t4IJvibugEvR/nYDyY zXH+OlEfxNnEvrMlzl0n6UOGxX6zNc5bJ+uj2HPjkWyLc9ZsfRx7bTya7XGe OkWfMCbeGzvi/0Gn6lPGxWtmZ9x3nabPmBCvjV1xV3W6PmdSvAZ2xx3VGfqC 7Phb7Im7qTP1JVPjd7I37qTO0ldMj2fZZ9xeZ+trfjTuwJy4m84zjeakUpK8 /O/z6z/e8ZY3POZ2yvfPt2/huoOG "]]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 1.175 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(1.175 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdQVVfX8LFhj8YSO2rsEUuMsSLHHjHYsNcoltgb2CJ2xd5AicGGvaGg KCIqFxsqICKooKAgTXq5Agq213fm/taZOX7Px/jkyTPfzOdfd36zztp7rXN2 WXvvtW9d61lWEwsbGRmNKG5k9L+/yxd/aG6yJkI37sYq3Wgzd6W7z8xH7oND hcsV9nltb+knPMzkjwpnPY8Joz/il2cRvl2uiz6MPow+jH7R02/CrCYGij6M Pow+jP7QkqWmzu0eKvow+jD6MPqmV6pM7jgkXPRh9GH0YfQLzWowqejkZ6IP ow+jD6Ofsq3auQSzF6IPow+jD6M/eGqdHwNuxYo+jD6MPoy+rlsjd7e+CaIP ow+jD6PfpFbzFjvCEkUfRh9GH0bfMbf1mYVjU0QfRh9GH0b//f2OzUYnpYk+ jD6MPoz++UF1H9dpnyn6MPow+jD6U64druy4JEv0YeQmzRsPLnZdr8TsabPy 9xlhuufzD5RtMX6XYqnrMyB7cZAwz8NH1o8y+6nDlc+e/6Z0bM7wiEwp7+aC ST8H1tZL/TyP/TD2a+WUR/nYfyZ6zeFOE/x1Zgk31sw3zVLstk5dMvy3zbqq dVNXNhl8VMkJKrXskcUDndOeNUfcgrKUHzc5h3dd9ERneubkYNPZsxXH0yFN N417JMzzMOXD0h8NPKdebu/g1teFJwcGxtwqdV6Y91Oqyf7LGb95i38w9raZ v/1qw74XhKMiXC95zdGJfov85CfrB94WfZjnb9aJG3HE/6awc2jWsJmRd0U/ tUWRlM2Xg0Uf5vmZ9h+HtE0PEj64x/4HI6MQ0b8eUz5pyL1Hog/zfJn5m0/E rXsovKDfjsZ3vw0TfaedJi9rRz0VfZjnXzTefey08xNhy8IHGzrUixT96b1M 4xMzo0Qf5nnPiONH5rs+F972dKjDaedo0Xd5vydr2IoY0Yd5vucvEQ9qR70Q zvcY861DvVj1+4Udmt2pVLz6/QzM8+51YvoXnRwnPGHzxG3zXeNF39b9ZEZd x5eiD/N89fzE+4mZCcJBk6aXG/lzotq/1p+daVwzWe0fBub51aEZfe8tShJu 19lmi+KTLPq9xnulJR9OFX2Y59Ndc++dLazywWp/lK3/S5ronzPTTb/fLEP0 YZ4fZv/e0mljunDZV8s3lQjOEH3GI/rLixaFJ3XakCn9BUaf+RtmPoaZX2Hm S5j5D2Y+g5mfYOYbmPkDZj6AGd9h7XjNeMd4k2X1y63E2er4Cou9hvECuXb8 ZLxjvGI8Yzz1W6tLXWYZb854CfO94DFn7d8UKR0g5SF3q5E/duQQdX7pbbY3 xamqXrF84TCsfcc7utR5P1/qOfTT+HrN/sbCzmHm5VaHn0ufukH46eCUsTZ3 Dgg/jNgetGLHReHO812Pj256VXjHwAmxIWm3hP1d5gR3vnRHeF+kbta5EsHC HVb1nDRl5gNh2633Ziyu/ki4fJtBE1otfyzcq2vEtO6mT4XjEsdZv90eIWyS kzilrHmU8LN7bVvGDIgWzhv49qeURjHCvxwzd/N7qvL4ZoU97rvHCZ9d3qP5 qfHxwveMS7Y63/6lcI0Rlqe3pqrcNrrc2V3Xk4TX/DTQ1HZesvCBS9+1XPJr qnBGmRGnhn1QubRjLbdxD9OFhyeM/aHT2gzF39E+/3bLq7quF2wXBT341J++ mfh96mJPXff4mb/OPpipJI9ZaB32LlgXVKLpwt1Ps5QSe6+m+e0Olfbaesfi ootqxfsw/1K+9EcDS380sPRHA0t/NLD0RwNLfzSw9EcDS380sPRHA0t/NLD0 RwNr46sNzk9KR5plKa7fb9t6erPPZ/HEgdzHR5NOZUl/O/i7z/u0lXrF5/Gw H35LeqQzmbToffRIvepfaurhqBcnlZYzx7VPtjysm/TY5YdSvTOVxj86vH0Q EKKrdLLEAJtSeqXDlOoOFkqEbkjxx90eBeplfICpj/7Zt8yV5CmxT3Qtb2/s pRvsYl6pzCK/GuVUnt/sbLWJrx8KuzfL7uQR8EgYfyivQj/T7e88Hog8vG/S 9DNRwcJzo7suz9h6Vzg5+s6dje0ChLEXZjynfNd67WeZlLwh8jb1PBquHHtN OD2gp3MT63PCMYFWTa09LgjT3iQeMrzfXeW3uwYU91C/v8uQ+JKRvtI+Jf4x yHPSxocsOHZDeIrx3Be7P/rL8xLvGOT7By4LKhlwT7iUp1+60/YQeV7iG4P8 8Kg+8X1eq+35+eSHqb8dCpPnJZ4xyP8oNzL2u5JPhM/XiElufCFSnpf4xSDv e33yi6jqz4V7vFyQvTA2Wp6XeMUg397h8qxBTmp/cfNdajN6eqw8L/GJQf62 4vX0drXV8aqa8xp9l5x4eV7iEYN8YtqdGbWOq/1tlc2mOQ2XJqrjA/GHQX7f 735qoR/V8SzN0jGzVPEUeV7iDYO8vcvjaQmX1P46tKHzrIytafK8xBcG+aFF z5L9u6YrT5av7Hcjb5Jur9mp7F7FMiW+8B1yb1a2f6ZyrnJXk1mHPHTuR51n dtqSqaxOdPa63G2/xB/Mt6UzjEMSq2cqK8scOOc7IVx3MMbrjdduvdI1zOy+ Pu6JrIeYv0367DttcVGvVD1+c0tV78cyf7tY3IuuZbVT2vPFjR3aL6i+XPh4 e98e1lXu6Ywa10xv9leWEn3/5TiHOaG66nXMyy+uoVc8EyqmtJ90Qzc038rh QSV1PdYjNKll8gAvHfMxzHgGM3/D6N+pHRhTtek20YfRh9HXyrXxgXb9yPvh eZjnYb/4Qs9GxZxXQp1P7VhgnK2MmuFSt2Swv3Dyq9+S5/z5SLjh2YxuUX7P hH+8qOvb8G2M8P2da99GVngpPMO233HHH1KESw+sMrh31wzhR7sylhudzhKu v25gWITXK2GbBRebXbyZI3x9Uo3VDsGvhb8dsuzpjMg84bE9YltaJL4Vdmv9 y9r62e+FP9Y79ezjx4/C+L+ueIuHSb1zxH8Y/2H8h/Efxn8Y/2H8h/Efxn8Y /2H8h/Efxn8Y/2H8h/Hf3PZcxVFbc8V/GP9h/IfxH8Z/GP9h/IfxH8Z/GP9h /IfxH8Z/GP9h/IcZn7TxhnY/ROKv0+uPlfjGQVkYl2RrPuGVUse9/J3dLteF kTcfMOO8+/FsxbLyrk6Xlz0Q+bqQRn82dnsiHHN75JveGdHCy4/WO1KoeLyw yZqUAV4mScJXxnt8mNkmTbjZgauPKhzLFLbbVtc0/ZxeOHDZmpV3fbKFq89K Cj/snys8dUyfFssfvxH26nN2zciYfOESnSpHtkl/JzzUdFGrCvkfhHmfWv9j r2a++j4tR5j3zfijXT9pxyNtedrxCTntE6Z9wrRPmPYJ0z5h2idM+4RpnzDt E6Z9wrRPmPYJ0z61/tI/WU9q16Psp1UcEGccNfGE8mvJkvF1K76S9sv7pDzk tPe2EXumuI9ylfkFpvzZdSJb1e3sIbxl3ooZJu0P6vhePA8zP1E/chg59WuZ /oU9MPWznoZ5H+jjb5FD29v4f3tV/PXZEm5r5eUnnP/r5CDdyyDh3UXfOTpt DBVuH3ujc59PcSMcdm1jWpHLEcLzXAY6e4dECW/QbT7ULueFcPiZrLyKheKE G+8b3D+jTILw/M2XjvpXTRT2s6v1/kj9ZOFK01cMXNEyVXjCyPgTo8zShYcf qW9Us36mcKG9Q06V/CFL+PiOdUNet9AL99/kXSj+51fCb1aluoZ0zBZ2WWwy zLdLjnBPm/5FzvySK5w+deWZ3X1eCztZnx++fuAbYfMRCUUXDM8TjhtQ1X3C b/nCmyx6j7Sa+Fa4dRc7487T3glHtjtzttmc98KrWkaPqrHgg3DTxhVKlFzy UZjvr20/xD/sX2n3m5HD2viI9sZ+sra9affDKJ/6YeJjbXz4T+3/wKxXKX9O kcm/RwWq/QlmfIUZT2HGU5jxFGY8hRlPYcZTmPEUZjyFGU9hxlOY8RRmPIUZ T2HGU5j5Cf5X+2Uh3hF1/fLcdXBg55VbH946qvvS/Rr0zdpUqHLoTKZwTJTH w/IlVHnmwZ1DKr9S2cmybaVVlvrP9nuQHy1XzWlt21fClpe8B+ZsU3mE3Z5H eYuzhY0amjv+/kjl8km1K0/3zRH2dLgW8qRarjDzM6xdb7A/o92Pob0zn8v6 3tB+fQ8d6906/sln51fs38C0X9n/08xfWjnxAMx8qd0P0q7/tPs/8v5TQ9tE 9s9SNgRbzV2zW+1PezZYxTs0Uu1z3TNnSqkAD7HH+YH/PKtpTp/ZZ+T39ILv k1dKg03Dm5ZZd0T0eX+0xw+nNrSLLKfWFx5beePe4veFnRva/9gy3E/Y13lN lV8z7332viT+M7CMt4bvI/O7Qf6NfWQ3O/sLwvsGFfozeNhu3f/v+10F7Vfw PrX908xpXrbFSbU/Ww4fOr/vTjU+4XuvfpZz9ZnvLfl+PiGpbmsGXBXe6O6c Nzj+hPCmzoF3or+/LMx6g/Kimzv0d8u7IO1vx8ZeW/SVrgsH9wp/+Vt3f2HX h+GFepjeEMYf1isy3syys2n+k8qercbktDLJkfUM9Sdunzzy3MgAKc+4yHmX hPYPhA+/WNxn74BHwg6N7J5uvaXKWQ9RXkvj7mt7PlOf7+rbLX/glCfC0ftK Hyu14plwUFzp1u+zVTnrKcqbfiM02qPMc5HrfJJOjA2MFv7mTB8js/AY4WIP 7vX8ucILYdZjlDfI98e95U1iRT5679khVeLi1Pe7qfJpfUaC8CG3na9SmsQL s56jPP2+PIvbP78U+dvFi4oEvU0U7j3t2fATxVOEu2wZ7XKwS5Iw60HK27bk Wu6SPurzf43o4r66YppwosUR47G1M4SjpjfoM3y4Kmc9SXnNR60/1Hqi+rzz ntVn9u7MVL/PDs/hG3dnCfseyX231kuVsx6lvMl7Gx+f56M+n7wxseiiA3q1 fayq7j7p2Cv1++wcMXD8TVXOepbyPDdt+tDfX32+w2LLkYNOZ6vtZe5S464e OcJjVvucMA9W5ayHKc/YLnOQ6WP1+XVT3c+2uJQr3NI6ZlQt3Wv1e9t8b1Q9 UpWznpb2Mm3QqeIx6vPhwyuVKH3rjfDSAT093vjnCb+zth+S81KVsx6nvMMj vArFpqnPN7RYOCYhOF/tD51Plnz4+K3afqySXYNfqXLW89L+LGoO88lTn5/f LvL8tch3wjVbfjPWLea9+v279C3i+lGVsx9AeV3bLz/zV7EPIr/ZqHPpvYkq T68913ND+kf1+7c8N3xtaZUZj9g/YPwZFfnxnMsClafuf9H6iHWuxOeM39r9 2vOZcQeObVLPk1gf7Bmcs6Rb0azP9pcbu1Wvbeahzvfa/WTqQ67dP9aeN2Gv fRP9+bCJmZ/tLxP/sl4g/oWJf2HiX5j4Fyb+hYl/YeojvqM+mPpg6oOpD6Y+ mPpg1hucT7LegFlvwKw3YNYbMOsNmPUGzHoDZr0BYw/no9gDYw+MPTD2wNgD Yw+MPTD2wNjD+Sz2wNgDYw+MPTD2wNgDYw9M/ZwHUz9M/TD1w9QPUz9M/TD1 w9TP+TP1w9QPUz9M/TD1w9QPUx/n29QHUx9MfTD1wdQHUx9MfZyfUx9MfTD1 wdQHUx9M+ZzHUz5M+TDlw5QPUx7n+ZQHUx5MeTD6nP+jD6MP8zz5ATwPIydf gHiC/AfWhzDxsVbO+TXxK3LiT5j4UfIpDfEfTPwGE3/BxE8w/V1rD+fjMOff 6CNHH0bO8+hzHg5z3o19yOl/MHKeR5/zb5jzbfzXyjnP5n3xPO0V5nnOs3nf 6NMeYfm+hvNsvhf6tD+Y5znPlu9t0Kf9wTzPeTbtB33aI0x71H5P7fyGXOoz MPbC+AvzvmDGE5jvp62f+QRmfKe9wMgZf2HGR9oDjJzxDGb8oT3AyCU/3NAe YOSMF3x/GDnjA98bRs74wPeFkTNesD9Ovi376eS/sj9PPin7+eSHsv9Pvifn BeRvcr5APib77+QLsl9P/i37/+Szcl5AfirnC+Sbch5B/ijnF+SDcv5Dfift U/I9DeMl9mAf+desp9gfIj6EOT/g/AfmfIj6KZ/zF5j3A2M/zPuE8Rfm/cO8 H5jvBfM+Yb4vzPuHOX+BOX+BaS/a7wnTvmDeJ/Ev/Y/5h/Ec5nuQXw6TX876 lO8BUz7rTeQwctaPyGHkrAeRw8hZ3yGHkeM/+em8L/LFaS+sP/BPG48zvtJ+ 6E8w/ZnxGTnjD/MXLPGX4fuSf874xvzJeArzfcmvZ/ylfNoH+e98b/zjfI3+ UXnXidjaYfrP1kPsVzJfwMwXMPMFzHwBM1/A2AvjH0z7g+nvMOtBmPUgzHoQ Zj0Isx6EWQ/CL4fowjtMyJL5KD0kp2u98PTP4vXLoyvNDx/zqZ8nXj/64Vd1 fvF0WF07M0WdT1bX3u5ftkGMzB+N+9l1upARIfNFTJbvqAN+ITI/WA+rH2K+ MEtxK9UnMO23AGVu2InA2A/pyg7/jyt8Cocr1QZNu5tkm6B8yPvrw+vxsUpS 6BXXfltiFOcGO3/6pXSCkjp6gq9NTKRi3POCcfi2RKWM/Su/QxYPFeVYePHq ecnKrowR36dd8VO2hl7d/PRT+6y5+41NZJJeWTp9dMzpvu666BmV7ad465Xl gx337+vw59/P1w7e2XnrZL2yr+6IdrlLLyres2oFjW6vVxq7zE7dXkn3t/O5 aS/f2Q1aU3/dHWVdqwsNml5X49GC8r1HdbFYO7JtppLQsF62o9fDAvO/aa8l p4+t0GVWmDItomkLp3w1Xv27+eEuZdtXTnqULPHrjNiANxn9E5WOaeuD4wsV nD9Of5tew/tWiawYxf6PqXmFT6jxbTfzZp7F18cpPwd2utj2iqr/r/LN6c8+ tbMvFL0Vr5yxvmIcWDlO4t8lFVt+V9I+WunjVbxj1oCC89MZL/pWnVZ1V59E pf6OVf3Ma0RLfOxSpXi+5YFwpZzLvC7z7qj6/yqfnfEormOVb0vtT1bOr3i8 UmcbJvGzeXWjYiUu31cG1frgMLlewfnvjHdWTVofvn4zVZkdUefyiTsBMv5/ WDFiUPcOrhKPl/nYt19iil7GV+IZ9vu0+e9dDzbZnrZFnV++NB9+7+8bWkas yJT4mPn73tMJgU4rQgrMl0+ubTm2fY9UmX+Yb7qVrNcy5pB6v0EbP2cftHnT bNzn+fXEzyYpHarkTFTbkzZ+jlyxWmf9rdo+tPFzoL/ntaV26vfWxs/GGQEL l3p+np9vVW2cf6/91z6bf4vE2jxNvpumzHzcpOF+L71iG+6/xK/7X0rooPFx /WokKxkVvrOI3xGtnLhXPXP5iyQlM6bGgm43o5XcK93rZ2/3U9wfFImv1CdN cWlt5DCjsvo93bPL11jRW+XM2h5h1d9lKdP8v4tyu3tDOae/n3QsMEuxbnVx v4enn1LH9VyQ2ZhP62Hfmraxb0KVgc/cjy0PSVEqbK/VwLjd80/9ICMg7cfL Ss7dKm9mTUpXhqV29ZvZ/5WU7xoaOnx89lklaO01b90rNX5evd9/c8fb6cq7 n4qVybrtJfG0y7WQlrF31Xg6sePUXeMvqfsRD4MOzJyxQ6+0PuK2r1XNMxJ/ T94wzcZm7n6lhHfvRWePqPH3xv6tLhRK1Et8ZTTD6eOheL2ySPd85clZx3W7 Tmfar3qqV+zcssZVs3TS9ZszelC/PHX93yFysG3f6EzlG93qYUMtHihFk+2m L9ytrueLVBvz+3zbNKVN5SnzcppGyProTXmXNcuuZigbAi75N0nVKz5OsX/c rO6pQ858rb1vUswq888qF13l/dXtHz7vaKWjn/VH7l/QXihvw8HS6c2mXFaf P1Rl2SRvH+H8LTX+ctl0W3jllp39i8bdUv7d+wi0b+r3+bXByTkVg6S8Npan 9GWv3Bf2Wl3r6NWcUOGlq5+umFVXZfoT5dUcf7B5w/ZhIh8yPt7Ktmy4cHaX 0x9/aBAp7N1lakRk/whh+q/kA9Vptc5xcpTILbZ1eDzbJFr4r2X7TC1/iBFe /NGuegPfF8KMF5R3Nz16tlFgrMhfziy8qlGbOOG2YyY9Kdw1Qbja8+63I8Li hRmfKO/3e8drXYx9KfI1ffxbPP80z8CPzJrbXxqeLHzxShlbh4wkYcZDyivm Ott/xtsUkdczdYjcMTFV2KZGbqvZc9KFB+9+WMeiuMqMz5Rn1WNPR4eSmSIf W+z0zSPmKpd4/3yWY/cstb2ZBSUsK6cy8TzlZdabkNirbrbIjeJs54waovLx iKM1e4/KEd5Vw8mxTSOVj3yws7Ibqpf1nl+UW/JI+0/jhWl+z9K5Z5URthEO a3/WK+HuC+o9Pa6u96jfvOId8/rNcqW8vqHht9taq5zrX8qmweTXwgml8pO+ /Ull1oOUt6Ww6c6P7d6IfN91M5OKM1Xu6T3zrpFtnto/8kd3TjNXmfUj5UVm bU152j1f5KlnXWzTF6m840RI7chlb4VXJ11zutNbZdablGf64lUXz/7vRG52 oGjA3TUqx+1qM//ixvfCD8MbpB0aojLrU8qzCx66a/uoDyLfsG1y3SPbVW61 zjnQ4c+PwvXvrO+2zFrlf/w+03R9scArWcqxtCuTAw/cVvwjPS3CW2cpVysX tTvlFaRc6f0hz7F5ltI+NqGrZ9H7//j9p9cj5zWz9s5QvG5m+Fe1fizr4T3W v13zrvxIqebrHnyz06f12sNVGzJ2PVHqbikW6/Npvf9D/lyrRruffL0/9Tfv T5lElaqebXlA6Xi9aemAZRnK3KnZbzpX1Mv+LvsnSlbFk8PNfBXvfafObmpx XXFf1/xGRJi6X7I/5WTXuRbpis5t+Yghn9alezzeJid7RCmbA4f1mNEuScmy Gbo5xPKFEtVzxrPY5fFKv5nFjXt9G6c0KG19LXfjC+VVoZ41vNw+zQurA0+6 33yqTKx14NyaZkmKkWP/VhO+C1GOlnk9ss7WFCVjYqM/qk18qXSelePyy/kY 5Zbxd/edNscqtYquccmYEK+EHw7q4JT/XMmsdq7TdP1Lpfsy84u3FjxWdj5L rr903Ce7lF//CN6cqXQuX+rF82KhimN3k0e/Hk1VtrybU/yPT+2ReIz4n/UD zPoEZv0Ds76CWb/B7DfArD9h1r8w9rCfgz0w9sDYA2MPjD0w9sDYA2MPzP4N 6x32b2D2b2D2b2D2b2D2b2D2b2Dqoz1SH0x9MPXB1AdTH0x92vNy1mvUD1M/ TP0w9cPUD1M/TP0w9bMepH6Y+mHqh6kfpn6Y+mHq156Xs97EHhh7YOyBsQfG Hhh7YOyBsQfGHta32ANjD4w9MPbA2ANjD4w9MPZoz9tZT2MfjH0w9sHYB2Mf jH0w9sHYB2Of9rye9Tz2wtgLYy+MvTD2wtgLYy+MvTD2wtirzQdgfwH7YeyH sR/Gfhj7YeyHsR/Gfhj7YeyHsV+bj8D+B/7A+APjD4w/MP7A+APjD4w/MP7A +APjD4w/2nwJ9mvwD8Y/GP9g/IPxD8Y/GP9g/IPxD8Y/GP9g/IPxT5vvwf4S /sL4C+MvjL8w/sL4C+MvjL8w/sL4C+MvjL8w/sL4CxM/cN8d/2H8h/Efxn8Y /2H8h/Efxn8Y/2H8h/Efxn8Y/2H8h/Efxn/uh+A/jP8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+M/jP8w/sP4z/0W/IfxH8Z/+b8Dg/8w/sP4D+M/jP8w/sP4 D+M/jP8w/sP4D+M/zP0N7u9wfw3mvhHM/TUYfe77oA+jD6MPo899J/Rh9LX3 lWH2R+U+jWF/F2b/SP6fxyBn/4f9HeTsz8Dsr8Dsj8Dsb8C8X2192nwxbb6X nH8Z2gvMfh/rcfYTWW+zX8l6WvLnDOtl9ltZD7P/y3qX9g/zPsnPhrlfw30k 7jdxn0juyxu+J8x9G5jvp71fzXoOZj3F+9OeN2nXW9r3rV1/Iaf/wPQfmP4D 03+05bMe4nuyPuB7Eg/zvplv8I/xF2Y8gumf9AfeF/0BJp+D8wvyK/g/P/KB +H859iv4/0PyJ8jHYL9C+/90R3X+RUdeUOvjvAW59j6w1j7t+8NemP05xkOY fBbyP3jf7J8xnsLku5APwvtnPIDlfryhf8j9eAMjpz8hh5HT/+T+vYGR01+R w8jp38hh5LQn5LA2nwk5jJz8F74X98th7pfD3C+HuV8Oc78c5n45zP1ymPvl MPfLYe6Xw9wvl/ZlaB+s/2m/5A/C2vGV9TH7peQXwoy//F8R7Zf/d4D5f1OY ++gw4x3MfRaY++kw7Y/xFKa/M15y/4/xUu4DGvqX0fxN9XcMVXmkad/u9/LU /zehfJjyab/IYbkPbGi/Mt4bWOIFQ/tFLufhBjntFzmMnPaLHEbO90MOI6c9 yH1PAyNnvkcOI2e+Rw4jZ/5HDiMnHkAOIyc+QA4jJ15ADmu/P/et+P5y/4r/ b40pN8F4j8rl/3qwSjFX718RH9E/tP8HKve1DUw8xvcg3iAegZlfyJfl+xKP EP/C5HuST0t7IV4hfobJHyXfVvL/DfGM5GsbmHxU8nFpz8Q7xO8w+a3k6/J+ yJdkfCBfEv/YjyFflfxk/GG/g3xX8pWxn/0D8mXJX8Ze1t/k25LPTP8lPoOJ J7CH90v9vD/q4/1QPv7zPsjf5PuzX0Z8wPemPzHeEn/BzPeMz/RPxlvmd5j5 nfGZ94G/fD8Ye4lPqI94hvLk/5UN9ROf8b2RUx/vk/dD+fjLegGmPzG/Ur/2 /0a+5pv+v5Vvyvv3/jP9Yb/b6RJfc1/26/+1/N//r+W/na9b0P/BFJjPW0A+ bkH5tNp82YLyYQvKZ/3SfNUvzUf90nzTL80n/dJ80b/7/zv/7f/bYfxmvNbm 3xWU/6rNdy0of7Wg/FRtPqo2/1Sbb6rNL9Xmk/Y91+ZawP8hfzQwuZ/j47tq PoR2f4L8RO3/Cf3d/wf6u/mq2vyMgvIh/9v5rV/6/0TafFjt/xVp/1/oP53/ qv2/ov96PuwX/j+SNl/2P53f+jVf9Wu+6td81a/5qv92vuoX5pP+p/I9tf// x//daP9f70v/P43zH9YDpkrlsmdjnuoq2nff1jTi8//rKej/+/7T/7/HfmzV KSunVUn5+n9vX//v7ev/vX39v7ev//f2T/3fW0H58Nr/Z/un89+19wf/bj68 /P/uqZHeq3NsdAXlx2vz/9GPXtb/9ZQymcr/ALM4lGI= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlulv1UUUhs9tb7fb295CsZQWLF2wtS22WK1WgVZBXIsWBa2KWgS0QosC rVYQUEFEQCsfNHHf992of4H7Epe4JC7RaDQajUaj0WjU9+Q8N/TDk5nfzJkz c847c+6tXbFuyXCOmf0mcsXxYr44UuwSG0STOFF0iy6REnkiXxTTFkAOfhaL XpEUp4gecTS2CeyWiD5RKMpFqchACt/LxFKRFlPF5Am2RdidLfpFmagQk7Bz SrDtEIeINnGlGBPtopo17nuFGBCV4kAxTVSJS8SgmCkOErWiDmZgW09bA1X4 Pk8sF1NEI2vqOUezaKGdhe8W2kZ8HMD5hsWQaBCjYkS0ikPFbGJbLy5Dr9Vi lZguxrHrZKyGsx2Fzgk070KXPPJaNEHjFHMFjPXSd6270TYXX/n46GNtARqU o0kKjUvRNoPdZHSoYO9S9OtnbQZtK8hLCWsmkQOPcY44RsxF8wpirULbavaY hl4z0LaevNSS/1nM1TGW1bgOXzWMLcdfOXONrD8YTWbjq5mxrMbNxFDFWYZY W89cG+tH6LegbQt2G9C7CbsO4netDycPueiSJB+d2CwQxzK2V+wR8yze2lkW 78i17sJHB7a+9iSxyOLuuI/j8NsjFrLXNeJMizfr92s+/uayppNz9WC/Bc06 aBdgezPn8ngusrjTfp8T+M2esZtznm5RU7ye+P1cTN/vVh/nSTLn9qdik6Q9 DftC7AuIc9GEOE5gzz72SrP/ycS0lDx6DjN8e/9qzldIbpaxNo1NMf7OYMw1 9fvSzPp+/HktWmtRB3zMa5/XlnPou63fSa87XsfOpz8FfM7v6lT6bnMt68vw cS6221nv/Qst6mMlDOCjmv50WGX7694F2O5gfSU+VmI7wLf3d4o1FjW2Bj/e v85Ce7dx/S9m3BnE1nPh76ceBhlbQ75mEnM/sQwy3sA+q7FpxI+/qex78xp7 vViHvdfhS7EZ4ruJ+WFs/LfF73IbPtbjp4lv3+dt8Y44gvmN2HwhPrf4zbxd vGHxru4UX1ncUX8X+yzexj6+O9FtOzFma8Ec5sexuVd8Z/HOHde+DK12oNE4 a/zd3WhRI+bBHsZXoo3r8qd4ghwk9DifU7tJ/CueEZeLpMZfULtVbLN4e0ly uYvcXCF2W/wuu8470eUGfLSy/17ytpE5H1+LTg2sHyP/o/htx8co9g+Kn4j7 JfE68b0o3rKoa0+Kvzjjs+I/fD0t/mH/x8Uf7F+iGF+1qHH3ix/Q5HmRo7nN ah+1+K/l8T0sfiGXf4unLOr63eIbi1rgcVxl++/TCLGMEEs2Vv9Pcxi2Y/Q3 Md6OL6/LaWy24HM3du3YbmbtVuy873fO65fXroXo59r9Lh6zeGdeK3ux+Vbc Y1HnMor7ZYu6fgs58vx8Ij62+F9ZmIj34Jp+Le6yqJUFGi9KhN7fi/ss6tSv 4hGLuvAKe7j/d8V7FvXa851PzvPUvkksP4oHLOrap+Izi9rdSk793X8oPrKo 9T+LhyzqV0p+XrN4E2n1b1N7kyhOxLf3vxR3WNzvD8T7Fv+pff9bOcP/aL7Z Uw== "]], Polygon[CompressedData[" 1:eJwt1PdvjmEUxvHz2DTxP/gfhDYNqvaWEgRBSkqQVhDEbmuUBom9996j9t4j EnvP2lvtPb4n5/rhkyd53/e57+s+9zlvjey8rNxyZtYKFbAfz9ARBdiKPxiC oViPz+iLfriHWchAS6zEa3RDd6zFB+SgN/bhMdohH9thidlwHiOwEd+QizzM 8Vx8P4ZnTWzGTwzEIO21Cj20ZwlOoT5GYy6q8/50nrVwAzNRD80wH3uUfxoW 4xGylHEpnqKDarIQD9AabbAT5Vl/lEXG27ivWqTjKm5qrzRcwBU0Qaqy3EEL ZbqrNdL1mWdZgvbKdBkzUFdrrMY7ZKMnluMFOqOLsi5CW2Xei4fKPhZnUJn8 U3hO1drX0FR7vMUhjFeNT/h1JXFXxarNMnRSjc5pD1+7ISrx24pJ3N1IPLHo sQKdyWtXorvyGh7AS2UvRBkOYwJ6Kct7ndUzPdc7hcpQatFj+TrzKxzEOHS1 6J0tGGzRQ95rmzDAoue8l1OS6IUMi97ZzbOORQ95729Af4sZqMr3VVDboobe yzt0Vu9pn51tGGYxQ19xFEVa4weOYZIy/MZxTFbGI/hiMWsTMQ+zkYkGWuu7 xawU6d2/FrPqa3zSGv5uH9Xyo8Usek2vW/Romu7cs/yymC3P5L20QrXznjqp DL63z9h5ixnz2WqEfxY9Uqwz++yv097+H+C9ukZ36T3rs7fAole83mdRLYle 9JrfwkU0RnNcspihVH12Gru0d6bu+o3Ff4/f+X9+hKsi "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNl/dTlkcUhb+9plcVRUExKIJKFwQUVBBBo6ihd4QQRAQpoklMMcZETe+9 96IJRifNJP9CEtN7m0nvvU7aOXMPAz88c99v3313bzl7Waa391f2WSQSmRYi kTGwg7B3gxawFxwAe8D5YByYCC4A40E0uAJsAFXgKtANqsFusAvEgG3gXBAF LgNdoALsA0NgDTgLdIJycA3oATXgHrBZ/twAekEduAn0gXpwC+gHDeABcDpo BdeBjaAW3BU8tmZwGxgAjeA+sAWsBXeATaAJlIJ5IAc8BE4FbSAdxAXPV4bs SSBTNh5kgelgBlgAZoM5IFtjCVp3JkjUPgn6nQeSwCwwX5bfV2rfNJCv9ZLB Uu3Htdv1fhFYrGf6WyhLfwv0XQpYKJsKisFcrVWkuYypRGvTxyUa47zlIFf+ ZmsefTlZY/R9hSxzsFKWvpfJFqj+1MkU1b9CcVJj1Bo1t0pz6e8pwfUSG1yT E8DY4PqiHqlL6qtKtRlQPZlTarNGNaK+alUnaqROtaFGWpRz6rpadaW+GlUv arBeNaNemlUn6rFBdaRm16pO1Fer8k5ttinv8cplpmJOV82GtZUeRrSVIV+z 9E2i8p8jv7P1LkG1ypYfOfqdpLrkhhFt5SnOBfqdrDznhxF9FMgn6mmR4snX N8PaWiwfqY8i+Ves3/RpqX5n6H2h/EiUX/uD95nVYJl8ztU68Yp7WE/D+qKl BjvA1uB9Zn3w/hEXRjS3QjFQQ8O6K9O7s4Nrido7M7i2YuULfWLfOyP42UuT r03KH/2qkW+kVnUgdaoD61ilGpJqfce4G7Ue59WrVly3WTXh7wbNXSf/YvWu RXVgnBXap1Lxx2mfbu3FNfq1Dn3cKB+Zp07N3688xiimHsVEnbLvpWqfLu3F vantZMXaqzioceo7RfENjMrZJsWXonVT9X2rxpiDPsXN+DZrH+ZjUHFzzy36 rl21SdPce/X+nOB/S8o1937tsTN4j5gku03P7BfsNeNkLwzed6I0j+/P0/wo vee8aI1t1zr8nv1orOyO4L2JObs8uA6Y70uVy0uC972psrv1TN1T18s0znnU 5x79ngwu0vwY+bhT/jyidzF6f7HW3CGfGBf1Tt1TS+xvVwbXC3Vx/ah63jiq JjcH1xFjfVjx7pVPk1XbO1Urau1W1Z9aeFD1phZuD66FXfqWflKnVwfXXY7i LpXvj8p/+jykPFCb1wbX8lbFzHUOyKfVWn9IvnGf/ZrDsX0a79A458/TniWq E/PC83pacJ2x770KvtWeb4At5v1iM+wrsI+BQfPffOal6uPgZ/cL8FPw8/kf OMpcGy+DjxTfl9zTXNOf6nt++z7oMvflPdBp7tPf4IXg2uzB2CHFciKen1Z8 6/DcYX5/oS+9WvMZ8J000I2xjea5+xdEzPXyF/g8+Hn6E7wZ/Ez9qu/57Y/g h+DnrRbf1Zjf15pgG83vVr+A34JrrgVja83PZD1sg/m5PQH2Jfn/FHheNToM 448H1+2L4J/gGjwIvgme/zbMaTW/9/0MnpNmVmGszPxOt4a1MtdoBWy5+X2w nXk11+gf8pV+TsJYlPnZWwG70ly7VbDV5vfjt5QX5qQEY6Xmul8Ou8z8jkmN HJSfrNu70lMhnovMz1Ux7BLzOyzj/lCxL8LYQvN7bj5sgfmZnA+bZ34XjoN9 O3jvPx7PR5v3gvXmeqKWXgfjzc9TDmyu+TnPhs0yvyObee1Z9yPxPMa8z2XC zjU/b+mwaeZ3c+roE2mbcw/X/BTYVPPzPAd2tvn/BFNhp5jf/VmfaPMa9cN+ Ffxv27Pg9+Bn/AOwwbzXzIRNMP8/g1oI5npIgp1l3r/eUS6YhyfAEeb9cDrs DPP++zV4MnjvisFYrHkv/l7njbGw5hNVd849ztTbYV8L3lunmZ9nnuVjzPfj XhPMY6D/rMOxqsUh6Zva/gwMmPe1/wHeiDoT "]], Polygon[CompressedData[" 1:eJw1lFWolVEQRs8eDDCwri12d3d3x7U7r90dqIhid3cXKgo+6IvdgWI3FqJg BwYGuobv92Ex3/ybs8/sqVy9hsUPtVgslgCJoAROGVgWYrF2kBOdFxagW0Ml dDVYhe4Ar+ATTIBJkI+zQrAI3QYKo4vDEnRbyITOBvPQraAsuiKsQLeHeug6 0Am9Fr7BV8gCEyErZ0ex/YPuqIB/Cjsk6I6PcAT6RjHV4vwMdhis8RjwL2BH wRbohH8ROxq2QX38s9jhsA6a4J/DjoAN0BL/PHYkbII8+MewA4JyVBr/JHZw UA6L4Z/ADgrKQUH849iBQTl6BjdhPPSB7/Dj/1vhLvyMctsS3sMHSIhy8hzS cOcs7F4IaINp6PSQGJ3IpKdDVfRp7NCgGv6CqzAVJkOM87/YuKA7nvrb+bYf 2xw+w70oln7+bs7eYDPCbsiB/wAbD2M9RlPNvdZzo9pkNmmv0X3IbrrLf5Pb 1HPea/ODap3LpL3mGdAZYQ46W1Bt65p6xWv8LsrJ3iinL/w75+OinCVBJzXl IgM89HeYYu3ldUMPgmboPfAHHkdv8xyl4CwlzIjefA1SmWrnv0mPjjPVzmMs apoB7/3FUN7U897ry4N6oYjpzHuilGkGffaWBvVOSZP2HvLeKmf6rfeY17IG /uqopjXR1aFj0LfU6NvY2TATCphm1GdzYVDv5jdp72Gfpcr4K4Nmqopp5n3W /Vta9EvsvujO/viPotz1hsMwkm8Hon723jmEzRTUQ+3xO5tmrRvcimL02LyH 4/3tptnsCl3QPWAHurvn2HvJNHtdoCc6AXahe8BruAMtgmp+EH7DFEgXlJva pl3gOXrieTfV2mP03dPANPu+g/qgL/v/BP1HQ/ympl3QGa4EzdDk6D9uBM20 v91z8BauB82Ox9TC9AaPfSO0Mb3Z37o5aNc0N535zrnkucXfiR3jOTa92d/q 3xqbYvJY1gftrkYm7TvMd1Vr092+s5Kjk5l633vYd2EH/K1BO7GjqUZeG//W zVQDz/32oF3Z1aR9Zw5HfwmaRe+J7qaYPVav2T9p8768 "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNWHmU13MUnb7vY8sapaIi+74VkSJUSlLGehxZ4ljP4Rx7lNJOaTFpoylG aKFGotQkqWyJlKRRtlBJtKgoy73n3t/5zh9v7vsun+X73r3vfebXsPO9xfdk RUVF86sVFQVwHf5MgG3CzUmwtvAnAusDHwJ2gzWB/zDwcdg58B8BdoedC78L sAesOfxHgU/AToW/A7gEdjr8pcAvYEfC3wz8GHY0/C3ARbBj4W8Ffgo7Hv6f wMWwE+FvA34GOxn+duDnsPPhPwbsCWsI/w/gR7BPYL1gA2HLjM/CBsF6w/rA Bhv7woYY+8GGGvvDnjE+CSsxPgX7CrYcNgz2tNfivCN8zXVGGrnOKCPXGW3k Os8Zuc7zRq7TGN/SCDYA/ruwmbB3YF/6O8bAxsKGe81xRq75gpFrvmjkmmVG rtkec18aWvNrzzce9jrsZdgrRt4vhb3q9bjORK/Bub+BVcJegs31HmfBVnq+ ybDX7BfmLfVcpf4WfsMUP+M638Km+Zs7hHhIPq72fHz2ZpW5pxu597eMnO9t 41Qb554AKzdO9H4L880ycr7ZRs5XYeR8P8J+gM2Afe89zvH1VM/9nueaXWVe rnNZKO4r4K/xuHmw9+0zz/ONjOU62FrP94vfXQBbWGUc+U+dUW/kPvVELv4O 2+h3G4Q03DWTfqlj6pn6pY6pZ+qXOqaeqV/qmHreAPvV+2qF++u9B2qXeu1t I8/Je2qXeqWWqF3qlVqidqlXaonaZT2gllgbWA+oqXquDx9m0utw84O1gfWg T5brdlCW63Zwlut2SJbrdmiW65bX1FOJ1+rl/Q40jvB6Bd2OyHLdjvSzAmcL Gh6V5RoeneUa5vVy+yVZrs+x/h7OMSbLtVp4Rn6+kuVapb6o0TLPyTHUELX0 M+ynTNwszXK9FjRfmHeC5+X1RF/z+SRfcy5qZ7LHv+5rzjfF1xw/1dcF/fCa uiz3PJWek3vtGNLtqizXZ0GvxGlZrtXpnnOc91jQLZ99l0lX5R5DDc302jP8 Xg2s0ybE9Un+tjLnq5Bb1hM2uEJNob6oN+qS2prrWNKnZskx8q2v15zrMeQY +dzf46m/eVmuW16zd7L/9LJRj9THX5l60kBfL/I6HE+NLvB6i71O65DeNnrv qx2D/zLVVsaSPKZ2BhiX2v87U88j13Zl6hnkzmqP51jqYonn2JmpJpGv7Gfk Lnm7d+gZr19yjhnbfXD/X18fFOoBfM57q5yHfzL1lfGO1+dek3Wquc8Kax03 xvdXx4Ex3BfPI1Rndw/VSsapwnlijvbD/d1C17VCeqjwHBsdT37fDn/jnqEa yvs1Q3WcHKrumvaB87/W+5nvPXE/tUN1kPf2h79H6D2O5x7JwyzEM/KrTqj+ LnTsdjq25MLmKvnfkuVc21ol/3+aAynUY+aYO5vMqWXmE7lEPm6rEuPtjnOl 88FcXBLSUrlzsst8WOk8jTdH/jZnyN8/vBbHVQt9K3vH2e4fD/uafWSN9zrH +WFeCj2L+ZvnuDJujCFjU8PcZvyY6wqvU9NrrXfOFjgPe4Xi+aP5wXE/mwdc c51zw3WYqwNC43hOI4+ZB+rjwFB/IWfJ40rn4ZhQHg4L9cuu3m9t75nr1/Ee DgHWDXGmuv3f/C0V5gNjcLDjUAy83D2Y6x/qPXA/9XzGK/a6D2bCw+0zD0dE zp2jQtw5w/N1c/xqOYbcS3XvjZw6LnJOnRDiCzlySuT6OC1UPzjfGf527on9 ktopsT/M2Ng+NXyu/wc40/c5jniW3yFfmvicwfd45iB3yGtqhnppGrrf3c+b +v2WoXk5Z7PQWj28ZjO/z/i19Dv8P4DnIdaYFiG/p++18DmJWrwgVO+om5NC umFNOs/zUzcXun/xXnOPZU4ucl7I3VbmJ7G1Y144O7K3tPF9vku82O+s9xj6 hfPlbHN2L/O2OOFeSAPkEflNLo2Cf1mSthoBJ4d0OwzYLkmLg+G3SYrxAPit kmrTacBJodrRk1pOqgfnAF8L1YUO8N8J6bYZ/KmhGtGH8U+qGacAT0iK6aXA GSH9s87wTPAG3nmDnLV/Ed4pD/WeJ4EXJvWifox5khZ7MV9J/eQY4M3OxdHw j03KA9c8yeteBZxjrt8NuykpdsNhnZNqQ1vviXXvXeB1STm4C3Zjkr6fg92S FN9x8G9Nqh/3M//W4e2w65Pq0x2wTkmae5x6SaqdPcjVpHpzIrCzOXMU/MOT +NoVdmpS/f4o9M383lLY5Um8uBP+DUn1owx2ZVJtOT4pFud5L9ND+2Funwrl l/plnWFN5vmro+O/ytfsBfz/g/+HsF9zL4+F9sNxxeY289M/lKNbgCcn6aiB 36nvPHfw/Cs8L3scjWdWnlfL7HOtR4G1kurCWtaAUE9jftqF+gz5cpvnbOfc 0V8G/CKkdc7X3nMOBd6c1BM+DOWA8WdOuoXyQh4dmcSlV6n1UP09EPf2S6p3 hwAPTqpVhwEPTapB7zv31Zzzt0N5Z35mhnLUGv6boTNaW/hvheoa+TUrxDFy vG+I5yuBlaGcrAB+HYrft4x9qPdSZ71DWiOnuvu7qNcnQpol3ytCnB8Im+cY vgdcGu5x5hD5w1rSMamefAVbHup1rBODQrViSWg8xzKuQ0Kx3QrcEvpt5izc b5JUQ2+E1U2q1dvgbw/1m5q41yVUu/l9U/yN/O5p/nby+kXvrQXnS6q5i2BX hHrQA6E9cT+seSNDde8z4OJQH2YNuCKpDlD3z4a0/zLwamtnPPkSOncw5wc4 70XUdFIPuAFWI6mfVgfundQX92SdSPodizo+wlr+F/ZP6HepwL0s6Xep3YC7 J/XX/YGd/C1/AXeEftPq5O/kfdae0aH6UztpH9xDvaT4MrbkY31zcgFsYegc sRO2K9TX98XzfZJ+YyOX65jPj1hv1Br7Q0moR9wEbJDUQ68BfhDq1w2TnvH+ fcD5obMaY/mN80UdX2sts84dl1Tr2ItOT+pH1ETLJF2wP1yS1COoj4uTNMKe 0DypL7DPNE3qNexFjZP6Eevx2FBNXgP8KXQeYo9qn9Sn+JvlD6Hz8UMhLVFH G7jf0JmJ9XVMqMZuAm4Onfl+h20M/QZJ/a322F/Io9DvlOyZ60N983vqLPRb 4/9EcP/K "]], Polygon[CompressedData[" 1:eJwtlWlsVkUUhj/uDPvSSgttESilUKyIllUkoK00BRWwKSBt8ZexRJBNIaAI VIgsLixCUTY3gkD8AUkJIcYQCSoFq1VLkSVQK1QJi7IVlJ3nzZkfT95z5s6d uffMOWfSXppWMDWKxWKl4KHOxWJj4BKDaehimAKt4ARjTZk0Hvt/7MfQ3vhz 0Rr8m7ADu4SxUehR/JHYZdj12E3Qfvjz0cP4t2El9lRoDafx76BFcB27p/aB QriGn4n+Cy/AVfzu6N8wFq7gp6M7YQJ75KMnGRuEvRD7mNaGXPx38Wv102gp TIaWcISxKvRnSIEO2gfGQQPPeqBDeH8Rehz/HkzHngRNIQ6WwYfhXxLR1+BV aA7xsB0OQgJsZs7H6AY4i90enQYToTG0CbEvgbuRnYG+9WW4Fdk3b4TP4QJ+ Erre2TfFhTU/C98QH+ZsRl+HB+Ai/ovoD9AWDuFH/F8x9n/YvdCvIJGx/mgu 7IPvoBHUMecL9MuwVjI6WnGEVJjL2DDefR/7D62NroKPdG747XRWMJ45z6Hl jFWgB8JZlEWWG6+ACzmyJsSoTVgjh3ePh7N+Wvvjf4qew2+B/gPn4Sf8biF3 LkNGyCHlzgVnz5RDh9EZ0AU6wx5n/5gczvCbEPOkcOaV8EvIlQrev4JeUg5F tsdsnYP2xK+Ev5Qb8CN2V7SI7/0WHQZ5UB1irlh31H/BVhgavimd+d1gMPbb rLE7xLRdiJFyd4v+O7IcVi3XO9tLNd2Vd9OgNLI1VKvbQy6qZn+FmToD/AfR /bDNma0cUS3egoed1eRt9KZiENlYS9ZrDtX4Wc5q5zo85KyGVNtqNI84q3Hl WmP8R0PONcK+p++IbI56TQtva6nnpGB3gIH48/E7YXf0Zg/SGvouqIpszwSe zUEHQD/lPX5b6IM9jzmF2OO85ZrmxGPHectdzTkENeEsFJPOPEv1tpdimIyd 5G0tfdPecKY6y+HOelF5yG31pO/DHD1TDf7uLOeUa6oZxa419HYWw6ewlzjr veoZHr+Zt977W2Sxv+usV+oM9O83nPVKxUCxdN5qWTFt5a3mVeva480QI8Wm f8jdBme9Tjmcz7N12Gewm6HP4q9A/8T3aK1sZ3fFQcbOoW84y/UbcAp7Vnim GtjlrEeqN6qHqDYvOuvlqlHVxhlnvVw1UuytxlRbqpGvnfVM9Ur1SPXGbG+1 rx75FprlbW/dSY9jH3V2F+WgC+AJb3eP7oR5+H293V26kzbhj/Whd0TWmz5w 1uvUo3opVyEbe6HuBOwMb7X4pPIcO9ObvUA5jN3Tm6133oHB3u4i3SHv4ed5 u4vUI5ejz3jrlYrxWvR5b3enzmA1OsJb7HWnLkWHeruLdKfpbhjg7V91R3yC Fng7O/XEJt5ySLmjmrsPFin8rw== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgf412MXxn/l9zxfhMjehUTIXtmbssp+X3uPlPHKi7w2WRWKqNBUtGig NERCGYVIKQ0NlZI0zPf+OPfv+v+vq3Od5/usc55xzn0/v/71Lm/VvGXNUqm0 0zqlkv6VaqVS6TXJ+pJ9JNeUS6WbJP9R+TrpWxCVr5W+WfKAys0l+0muyKXS BUWp9C+VW0uuV/utkv+qfANzSO5VuRV1kscl9zOH5HpsSc6U3ClpobrbJG1U vlG6teR/KreUvl3ykMpnSQ6QPEyb5B7Jk/o+VHKIZBVzqe4+yf4q34F9ySMq ny05UPK45FzJwSl8of9d9gndRrJcbQsljSWPSs6RHCRZkGLuRyUPuu/d+GaN TwMkPSQ9JY/ZF+z0l3R3WwvN01a6g+Rpz0ffp8pRz3cXf9PezjZY9zPuy152 tH5C8mOK+Z5nT+wfY16wHebq5L60P2vdznUPeExX28ROX8mLkpckrTR/Z6+h p+284PV09nc3j+voMZ1sp5f7sqbe1tg5XHO+LP2q7XT0mNfKUY+tPu7L3K9Y 0/dnjV0sOUwy0D5hZ7pkkuQTyesez7gJ6veB5EjJG65jfe9IBrvvYPvHmPEp /BomGW4f8WtEOewNkozyOOYb6TrmeNN9OfO3rLkXb1sz/mPN/5HkKLT9YL4P 3A8746rZf9/zMt+7kqFuG+86xkzwOHxhrayBfh+6Dhsfum4se6TyJMnRkomS MdX2boz7DPK+si+fug77n9u/9yRf2A98/8p+YPNL1/E9U/KZx03xehgz1X3Z g8/lw2eSYyQz7Ac2J9sOY75zHXN9it/S0yTflqM8yW3v2r9Ztskci30/mHuu /cPfLzTPFMmxknmuw6/vPQ5/53idjJmsft9IL5AsLEcZH5Z4bnyc7XGMWeo6 9mBRNX9/tJ7u9Q33Gf/kvvi+3H4w3y/2Gx+XyYefJDMlx0l+UN2vkr9sjzlW 2G/GLE3h72rJmmq+/+F9wfeN1OdPz/Gn65hrrfvi+2/W+P67NeP/ts1l5cCS te67Tgo/8D2pvNJ+nuByWbqUYhxrranyz/Y9p+i7SlKk0PgPZv1m+zVSjGPM BinqWNO6qWqt66XQa91vtvdlwxR9WWsjlXeXNJTUSTEvvpyYwsfNJJu6jjUN SGFvO8kmXgNjuqRY5+aS7inWsIWknzF2G8nGKfarZOxlPdtKeqZY55aS3inW sJWkdoozYcygFH5vb1/rS3aVvGk/6klG2tedJW97PTtJXk9xxjtIhtmPupJO koslJ0mek1wiOVnyoqSbpIFkiP3YUbKXZDfv1wuSppIm/t7FPi3z/eXujtb3 KMkeKfI72EAOhyfAF+AN4D74Dw+AD8Ad4BBgL1gNvsIx4CPwErgBHAGuAMeA I8AV4AjgPFgOjoJlYB/4D4aD2fum4CPwEvgHXAauAK+BX8AJ4AhwCjAdXAQr wck2/gYvaQOTK/j/kNvgIfAO5qxwCzgAnAIOAcbDCx6zj4xrZxt3ui/tN6bg Cu1d97jHPGBf+IanwcvgZ229VvAezgaPu6Zchfed3AYWg9fgJ7yhgt9gaA/P Td+Onq+Lx7CXXf19UwpO8HK5iouA/Z09R3d/d/OYjj7zbl7DM56PeXvZNhgD fg5yX/AZnMYGeAoGH5GCN/QrV/GJXuUqftDHtvt7DL4M8DdtFZzv6u/eHveG 2/BjoMf0si9893esEqf4Qa4eVq7C+DfdD/x92zbA2wovGFmtDUwcX67iBG/Z 9iiPgReA02M8L7gHPoBv4MU0jxnvNvAcvBtrn8b5e7jHjbPtCbaNgGNgEzbA 2Uke8w+ueq5P3YbvH3o8fAGuMNHzfu4x2Jnsb/p9ZRv/rMfjkaluw+8pHjPe vvBdwRXyO1wAjAdfK9iz1vbAx+88nhxTwflZbqvg6yKvg74zbGO2x2Bzjr+x AcYt8JrpO917vchtrGeux7CGef6e5L4VLF9s2+AzuLvKfpETf7I9cKiC7cvd hs0lHj/TfZfa3gqPwd4v/sZXcG2117fU4xd6n2g7PgU/AGvhCuApXAG+A4+Z b3t/eN93cR4nv2MfzPnLPtZIVVhdMoZhB1wDY5eWq7gDvtY0JuIrmMk3vq5r nOM8axkXKzi9rn0FQ8v2FwxNqYoH8I2vGxg7wc0tXF/T2FfHmFnbmFcyPoJ5 +EfdhvavjtvA7s1sl9xB7BFD4Pjm9oF9Yhy2wegtvZZXUmA1/oP1W3tPlng/ GEf+2MbrBce38zzDjKv4Cl7Xsz9gel37zHmAu3umwOIdvK5TUuA25waGg9v1 LQ19luD+9l5vN9fDGcD5Ji5fJ7k6BZYPcJ6r5fGNbBu8AxN5d98gfamkmeS8 FO/tCuaBp+DYKI/F3ukpcBfMpQ2cBRsR8LqN5z7U85+W4vcIMOwK22jsfuA4 eIscbL8WSbdznyWSp1K8Da+UXJACM3bxXrE3U1O8Bcmd3ya/gVS+LAXGgC8z UrxFyA3zpGeleCNcleI3D+Lq8hQxxp39JsV7jpx6YQqOW3YbfbnLF6XglNwz 3rDnp8D3w+0nWLerzwXe1VnS0efMfpyaAtPZe7gL+93E59bA59AsVZ1D81S1 32d5z9m/c7yH9X1nsMlenuv95EzOTlW/h5zn8+UMz0jBn47zPpBP8Bs+APZ+ 6bNo4f2+2HvezHcG39iDC70///Y+sk8dUpx3Y5/DlT67pr6fDezvJfb52hR3 t6nP4SqfC3au9x7BkW5LwZNOsL2V9hOO9YjKLV3mLL7y/WE9N6fgOqyPs2pZ rQ/1z5Xj3G52H3jYLT4j9K0p7vAK7wf8C/6KT/Sl/Rb7dpt9heP+4HXDNeDH cN/rrG93nztScGi4coU3w5mpow1uDU++JwVXrrQx310p+t/mcXd5npYeA69m D55OEUfMQT08mzb4OjbvTlFu7bq7PSdxDi9nPu5Ce58p9/HBFPeR+9U2xX3k bj6c4t7dl2Isd4zzuz/FXebOPlbtnj6RImcwdwfPf6/H4+fTPkfOqL3vJGfd wuW2vrP06ez+z3i97HFr7yG4AgYk37vnU8Rc1xSYATZwx5/13ezits18X7v5 rjZ0mXfQSyneVw08L2OIhffcVhn3ovujX3aZXEBOILZ62DfwDxwCCyv+9rBv vVy/pXUv9werentcH5fBMLAM7NradX08tq/bqAfD+rnfeq5nvlddv43r+nrO fm5jLLwBTAPvrsrKIUXEJPjY32N5Ky3yma7xN/mH37Xmp/htq537cI6/pIgx 3jOUedsQp8Q0cd7CZ0w7b50l7kMdeonPvZ37c0+wuzpVvdnQjzoP/Oz+i13G FjlyuX1eYT/a2ybfHXz3Vrj+B6+ln2Ntif2B58AbVxvXFtr+Qs/PPsDf+N3q 63LwF3gDnKG29nN3yRDzFHgGHANMH5gC1+EPQ1NwiIFug4sMdn+4whspeEOF Z1CuzDfY/cekeNtzJ+Eqb6UqvjLM58tvEe+k+P2hwmloH+4+dT2OenjPCK9l J+sRrt/Uc9WxPbgF8dTI5b1thz47e25swKvgvXBx9vVX6ZUp9vdX18OBN9ae NZSMZu+lf8oRzyPtC3b5zW2W+8Mfvk+xz8e6Hhz8yPW838D7mbYLN5idYv6y 7nsuIg4nuZ43VVLd1jli82/pGkXE8KbSmxcRP+tJ1yoiJmtLb5sjvjZTebsc 8bWVytsUEUvrU84Rv2vQOfLSn9Jn5sg1q6XX5shZJfXfKkfemOy9mu/7Ntd1 lOFDrJv3GfxponnU9BRcivVOS8GHprvPx+XYp3meE3wjBvq5flm1s1rmPuPd Bxyc6HnhV9NcHu2z+DoFnyOOwGZyPu/HOdV8nGMfZngtX9vuTJ8dMTHEd4Y+ 36Xgf8w91Wf9ndsYe5NttfJ50wc+Odl94I21PWclhoir7X1nR/venqX9Pkn7 PlblZir/lSPXH6i6fYu4x2eork0ODsT/uV2Zg3vdIn1uDr7cT7p3Dix/gfub g1N0kn4qB9fYVfq4ImKkF3ZycIWjVHdYEfH2t6RnDj7QVvq3FJzvXLWfY1s1 pd/IgbPtuD8puGkNlQfk4AO/6/vmHPynJN03Bzf4U/XP5+Awf6jcMQf/+Uvl F3Ng7kvSXXLgMPhwdQ6MOF/li3Jwrjoqb1QExmxYRGwQF3ep/bocXHvLIuKH 2KknvX0ROW+7IuKEGNlVeqci8to6RcQecbeHyg2KOLN1i4hbYvb3HDFDvLwl PTQH5xgo/WoODrSP+u5ZxJ0CQ/hNkN/0hqh9UA4+BS+nHj48hjVlv6fAwxw4 s8rj73X+B5MWuG6N6yvfzE/skNfIb+zNxt6fla4npm7n7nh+ctVHvtuzHVMT HR/c4cm+p2N9V7l/cBT4CXf0/RT5mPZ33ecoz0mcwuXHpcDGlZ6P3y3APeKa +CYfTLFvxOhnjlP8IT8S43Pdh7jD5hjbpf0T9zna3xOdhz/2uo7xnMQjQj7g d52JzimTnCs+t92hzjv8lkZO+cBxPd9l8tWT2r9GOd5k60i/mYOvPiz9SI53 0vHa+6OLwKXRqtsvx/vsEOmZObhmLekGOfhGY/U9qAg8nK26JjneK/OkT83x ZjpcunEOv5pxt3O8e06mPUdOxscJ9pPzJS9Vfk9EjzXngZ/ATTbQuN1y5Ez2 n1zJHh2ruqNz7OsJ5I0ce9lUdjfM8T47Cp3jzJf6jDnfrYm1HFyujvSeOc5u L9XXy8EriI9GjpEdpHfIwU92VnnHHByDuNzFsTlKde/k+BsE9vVY7y2Ydqdx bbz0+zn+XuC1HHmHnHM48+TgEmBszSJwlpx3hPMeuPebsY847u9YJnc+4/z5 g/Q1Od6ug3PkO3JdS+kbc/x+sHeO+8HdIF+2d87cJ8f94G6ckuP8OLvdpOvm wAXyze7OOU/nyKHkTzC8KALHj5Gun4OX7J/jbnGvDiav5+BU3KNDfJfAilbG C87heJ8F53aJz24v6ZNy4CA86MjsmJK+1HeA+3W579hD0qfneH/vwb3IETsn y+YpRcT8+WBIDuzYV/reHH/zMUn6kxxvvwc5zxy/J92aI5aIownSH+Z4E5Iv X3fO3I9cnQOjwcb9jY/jVPdejrflhTlwAozgXh/su/2Z9Kc5/qajNfciR36a LD0lx9uS2LrY8fWx9Ec5/n4ETn1YjnxC7iRHkz/n5HjDgE1wsQ2K4GOrVP41 x/+P/XOvi7jb4G2PHJjLOvYuYi3dc+Af2LdJjj1lP/vkwGOwGJwHg7lLy1Ve luP/68DJbjmwcipnm+NtDB/cpAhO2DUH7oK53LX6Rdy3x1X+PgeXGSE9Msd7 e3qO3EReqrwf+D3wUdXNyPGuIkbrFhGns3LkEfb5S+kvcvytzTTpb3L8nQ5x 37CI2F+s8o85/u/xF+mVOd7VTXPkPvIeeHh/Dkw8LUceJAcOy8E/4B4nar7m OfCAPHqAfQaTh+fA5fOkO+T4DfLQHPmL3AU/6pyDIz2Xg4vAQ8hbWxSRu4j1 uTninfx3WY4ceK30/Bwcg1g8soh4hF/saI5Bvjm0iJwDL3slBzdbKL0oxxv+ f9JNiogjYveAIuL3/0eZQK8= "]], Polygon[CompressedData[" 1:eJwtlnuwllMUhz/59noTUVRIVMK4TBenk05SKdWpow51QnRRB6nodEEXSbpJ Qo2iMhRpUqRJkSSVioiIcCRhGPf7dchlPL/5nT+emWe/l/29e+211v4al4/s XVEtl8stgTzcGbncLBiRcrkK2IsfBpfis+Fi/B9YjC+BPL4RpuoerMXXwWR8 HBM+jz8HBcnP/I7XgwvxB2BSeA69ey2sx58JvzuF8Q48oAyfAW/g1eESfBZs whP0xqfBq3gGffCZ8BS+Bsbm/U1H4hUwGF/JtWfxDeHfGs94PN4fLmd8NdTF f4VF+JVQgG+BXnhLWIo/Ajfw7gTGt+F94aKq9TyEPwhjuD+O8Xf4T7AA7wa/ 4H+EY1ECK/CVMBG/iXe+xL+F+xgXw2eKHXTB+8Oj+LLwb9/I84/hy8OuORbj S8K/rW98DX8zHLtzYBBemuVyu/HztUbGPRnvwjvAYK2F8R68I5RrrxjvxTvB u4z3wd14EbyIvxTeq0LYg78Tzp3W8DK+K7w3rZJz44Xw3ilHnsRXw6TkPZuD N4cWjHvCVrxlOPaXwSvhOTXX7bA9/A367enJubEt7MqR1vgBuBdfkHdu7Qy/ qxzbHY6RYnNHci69HnblVG/FnvVvxrco5tr7cO5oz6fqt+C65Bz5QvGErvgA WIU/Ed5brbEZfg/0SF7jAPwuGJ2cg4uUG3o+OYfmKhZwNuNS+AT/OLyWUYz7 hWtYtdsXFuqe5st7jvnKJX1z8rV5igWMyvtaIf4BzFH9cG04/m+41rfD+3gN aJO85/9prbADfxi6Z94j7c025TDeLbNfBbeE59RcQ+AE7jWAVfLk2JZxf2ty jL8O14Byf35y7b+lNSb3gGKe76M9T37nAsadYRPeJDmXj+L+urxzukfmHqDa 35mc27WVk3nnuHL7aMaVeef4z/hX4d9emFwrtRhvzrtmyhh3CNfKPuUH4/MY t8cr9Y2Mu4Rr54ByiHGncK3thx/CPUG94H6og38f9oHwW7hHqDeoB9Xl/Tpw PP548l61grnJe1Zf96B+ckzr4cdmflbXamt9sCJ5jlqKDxyXfO0IvCYsT76m WimCeck185FqA9omX2vIsydl3rvVcDheQ7+ZPMdBnv1bPVDfDiX4p9AvuYcF zyaohy/T/nDv83BvU83orOkVzi2dOdV49lBYmvyOzqb3VDPJZ1RluCepF+la xrPVM8+tbzoEz2X+Fs2h2I0N56Zi2Il7HeHk5BxqhjfVGvGnk3O9a+baV85P 0LtwBX4NjMSbag15Xyvh2aHh2h8K34T3WHurnj4Nvx4GJfeMv/A/9UxyzH4M n0E6e3RmtA/nnHJNOdg2nHPKNeV4x3COKbeU0zPVu8K9ST1DvWV2uFeox3yI 7w/Xus78yXo2XJvDBD4j/O1aQ7FyNdz7tcYR6gXQLvlM7RzOeeW6amgU4+7Q mXE5TFHvCp+Nw+FmfGJVfLTmY8IxVSz1TnvVF2xM3pN2qi9onHytDX4ubEi+ 1hxvkXmvGkJLvCCzr4dGejdzrjaAU/AmmX0NnIGfDifia+FU/LTM93TtTPys zPeUE0V4a2iU/A1vh888nXXqUaXhmA6r2n/997m1Kp76D3Qw+T+Q4qE9KmSu VlnVtybnhmKmWClHRuNjwmehevaQcIwVW9WUanNcuPerRmuG/9Pov4z2aGC4 B6r3qUf9D139LxM= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0kk3l1EcwPFHKf6E08LCooVFixYWFk7neAmWXoIXUG+kReeYQqJUZC6Z h1CmUoZGiTILkVnGPv9j8Tnf372L57nnnpucdTvzVkQQBHdJJzxfIkQcV0kk iWskc50bpJBKGne4yQfeE+1DIaIYtI7RIW0m3nxPh2liIPwve3laQB8J1v36 kovmRo3UfH0XPqP5MhdoCM4P/iIcfaNnPOeEek55zTF1HFLLEb38o4Z9qjmg hz2q2KGSXbrZ5hmbVLDFK/5SzjpP2aCLPzxhlces0ckKZSzziN90sMRDFihl kXbmKWGWB8zRxgzF/OQ+v2jlLUW0UMgV9xNLrnmKab7zg0ly+Mo3PvGFz2Qz zkdGGGOUCTKC87fzHyhWW1w= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{273, 272, 276, 520, 511, 512, 510, 514, 513, 435, 516, 517, 515, 519, 518, 436, 522, 523, 521, 525, 524, 437, 491, 617, 478, 509, 462, 507, 461, 508, 434, 275, 274, 273}], Line[CompressedData[" 1:eJwl0jVSBFEYRtGGVeDu7jqDu7vb4BGsgl3hLgvAYyADMog4UwSnbtdXL/qr 01d3x3ZigiDYI+SjiAh3rMcGwQYR1ljl1r6sKyywxCI39jmdZ5pZZri2T+oU Y0wwzpV9REcZZJghLu39OkAPffRyYe/SbtrppINze6u20UQLzZzZQxqmnkYa OLXXah1V1FDNib1CKymlnDKO7cVaQgFFFHJkz9N8ssklh0N7pmaRRgbpHNgT NYk4Eohn3/7JF2/8cs8PD3zzToq3j5qsT5qqH7qlz7qpL7qtr7pGmCaaaYne iTba6aAzelO66aGXvuj9GYj5/x/+ANDpNqs= "]], Line[{493, 467, 481, 466, 627, 626, 439, 527, 464, 526, 463, 619, 620, 618, 479, 460, 438, 625, 480, 465, 492, 440, 628, 470, 490, 623, 484, 621, 483, 622, 485, 495, 494, 441, 501, 502, 500, 504, 503, 442, 532, 533, 531, 535, 534, 443, 499, 624, 486, 530, 469, 528, 468, 529, 482, 493}]}, { GrayLevel[0.5], Thickness[0.0035], Line[{849, 629, 835, 935, 989, 883, 981, 982, 983, 851, 972, 861, 1039, 1040, 1038, 1042, 1041, 862, 1047, 1048, 1046, 1050, 1049, 863, 1052, 1053, 1051, 1055, 1054, 864, 1057, 1058, 1056, 1060, 1059, 865, 1062, 1063, 1061, 1065, 1064, 866, 1067, 1068, 1066, 1070, 1069, 867, 642, 635, 634, 633, 632, 631, 630, 849}], Line[CompressedData[" 1:eJwl09VuVFEAhtFTpjhcUR6AJ8Dd3a1YBSmlLd4Cwd3d3R2Cu7trcC6w4FLc XdcJFyvf/vdkkjPJmQLJGbHpUUEQZNI7EgQPWctz+pBJX16wnkLRQTBAC+pA LawbtKgO0iI6WIvpRi2tw7SUDtcyukXL6Ugtq6O0vG7VqjpWq+g4raY7tIaO 1+o6QWvqLq2tk7WWTtE6ukfr6QytqzO1vu7ThjpXG+g8baQHNFYXaWNdrE30 kDbT5dpUV+gdmjuv1gtc5BLnSXB/WOP1iJ6gBytZxTIOkuTzztqdJaTYS3Uh +2ljd9JuzKedvUDnsJfWdkfNYBbJ9mydzm5a2R00nam0tafpJHbS0m6vxznG RBLdpek5tpFmb9fb3KKyXYlU566MpoI9RivqCD3LJlLtzXqTG5S0S5Di3IUh FLeH6hlO08KOIz/97XzaT2N0nV7lOtc4yhV6cpk1nOJk+NvI4zt5yUlucpHo PrvmIJpsZCXBfRaN8Nc5SgPinX/zhx/84idxfOM7n/nKl/D5+cgn3vGB9+G7 whve8pLXvArfK57yjEc84XH4nnGfB9ylF/ci//+b/wCnVoDz "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1XmcTlUYB/A7ZszYt8lWEtkZM/YQWYuRFkMpKkvKPtOiTUpkr5SyhaJF KSoUpVIoRAtt2qPSpkWIsvd9Pv3xnd99nnvPvfec97zvVB9YkJefkiTJZH+G pCXJYLoXTpLDTE9PkmzuI4f7uYRLM5A3cD1HXfugfIgZzGImx/TnyLnMZh4P c1x/gXyE+SzkUU7oPyYfZxFP8gQn9Z+ST7OYZ1hCwlKW8SzP8xwpLGcFL/Ai KynEKlbzEq/wMqncyCgu4y4aM44R3M0ExnM5b9KEN2jKOnKtSVducnwzzfmS ZtShOF/xNVOZRl96G9NH3kILvqUl33AWdSnBTnZxD/dyZbyrsVfIWynJ+epW ciT5lKK73lWyNW3IU58t61GaC9T9ZFva0VN9jqxPGS5U95ft6UgvdQfZgLJc pB4gO3Fu7A91Z5lFOS5WD5Tn0ZUuNKSAQbGezl8tbyOTHupceR3X0kd9jfye bnwX8+QHBvNjzJHdMRd+Ykhca9ydsgIHOcR+/uYA5dnLX/zOn/zBKezhN37m V35hH3Ptw1xqUpcsGpJNDuvpFXP07J6xHjIv5i6HyxMxP47FunCcYYyJdWRs rDcTGcrtjKYi/3KYfzjKESqRuHcKJx2nykJUdlxYppNGETI4Vb+YLE5RSlKC 02IvyDKUohxlqRLrIcuTSUUqcLp+5bgfleK6uAdV9avKM+IaqlMtav0asiZn UptacS72t6xHHRpQP8bFHpHZZNGInBir30Q2pTHNaUaN+K7IlrSgdXwP4nmx 52Xb2PO0i70dz9bvIDvSPvYrneK94j19hpmkcsBv4W52sIW1rGQJC5nNdCYx llbGFHOPz/mCT/mMHRTlYz5hOx/xIUX4gG28y/u8RwZb2Mom3mEz6bzNRtbz Fhvi8+Z11rKG13iVNO6I/eLdpsjJTKIRD9A79pxzBd4/n5GMYDjDGJr2//+F /wCbc7IS "]]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 1.2 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(1.2 + $CellContext`y)}, { 60508443, -0.43, 2}, {$CellContext`y, -0.095, 1.41}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 20] = Graphics[ GraphicsComplex[CompressedData[" 1:eJztnHdUVkfX6JEYFTXWGBUVNdYY7JFYkLHGElssiEo0dsQeEeyKBXvvNViw i9i7jxVRARVQEFCQJr1jV653ree3z13Hm8vyfb+891vr869n/dbMntn7nCl7 z+zzVB0yvudwUxMTk84FTUz+9++c6R/qWSwIMwy+Ps/wu7WXand53EOvPoHC xU0vv3Tr4i1sZzGt1LHT+4SR79/hSdiV1tdEHkYeRh5GPv+RV8E9h/uKPIw8 jDyMfF+zwo5/tgsUeRh5GHkYecuLZR1a2IaIPIw8jDyMfL7xNUbkd3gi8jDy MPIw8kmryh+Ps34m8jDyMPIw8n0cqzS8ezNa5GHkYeRh5A1ta3kd7RYn8jDy MPIw8j9Uqld/XXC8yMPIw8jDyK998ZPnlD+SRB5GHkYeRv79vRZ1f09IEXkY eRh5GPmTvas+qtIsXeRh5GHkYeRHXd1TZu3MDJGHKbeoV7vP19cyVdQ2q7kj xwYbnjrv/Kb+0E2qi6Hrb9nT/YWpD3sstrdu3PziJ/WLFYnO6ReWLu3dcBnR xLdypvRPffSH0V9fTnu0j/6ekQv2tBx2x2Add32Bs2WGmrHScWa/QcsN5aom z/2hz16V41949sNODwwbti3wOOqfoRou2xLSZupjg6XnwT6WEyaotUcCflw2 +KEw9WHah2U+GnlitRed7/90TdjB1zfqZuGTwjyfwj/8dSFt0HmxD0ZfK+fV l2p2OyUcEXb43NmJBpGv/ybx8eJet0Qepv6NKjH9Pe7cEN4SmGE3Lvy2yCfX /ypp+YX7Ig9Tf5xbru3Pqf7Cu7a51TExCRD5a1ElEmz9Hoo8TP2izssPxCwK Enbpvq727ZLBIr9hvcXzyhGhIg9T/1ntrfuObHks3MV0V8011cJFfkxHy9j4 9AiRh6l/Omy/h/Php8KrQvuuObIlUuTd32/LsHONEnmY+r90CHtQOeKZ8JsT A0uuqRatvb/g3RNaFo7V3p+Rqe9VJapHfocY4WHLh69yPhwr8k5eB9Oqrn0u 8jD1zd/E34tPjxP2HzGm+IAm8dr8WnxsXIGKidr8MDL15wemdfObmiDctNWk Fepyosh3HHo2JXFPssjD1E89/MLvmKnGu8pP+6Z6hxSRP25tGHOvbprIw9S3 c3vfZcPSVOFvsuYsK3Q/TeRZj5gvz+qbjmi5JF3mC4w8+zfMfgyzv8LslzD7 H8x+BrM/wew3MPsHzH4As77D+vWa9Y71JqNnh5vxE7T1FRZ9jesF5fr1k/WO 9Yr1jPXUe6EheXaXWBvWS5j3Bce49VvobXdX2qO80tTORRz6aPvLha7FC/xU OlM51tw56rGtj6F6R8em1fp8XF+vul2f0irYpvj8kOOpjkuEQ/sk/THJZ6dw UNhqf9d1Z4RbOR/e//uPl4TX9RoWHZByU/iO+8T7rc75CO8IN4w/Xui+cPN5 v4wYNe6BsNNKv7HTzR8Kl7DqPazRnEfCHduEjW5nGSocEz94yNvVYcIWOfGj vrGJEH7i93ODqN8ihV/3ets4qVaUcId9Nke9QzUeWtf0xD2vGOFjc9rXOzQ0 VtivgFmjk82eC1fo3+XIymSNf44sfmzTtQThBY17WTpNThTeee67BjN/TRZO K9r/kN0HjYusrXR0cFCqcL+4P+q0XJimPK3aLl3d65LBvVnJK5Pvp6u5uQ4/ DHh6yuBjvT3Wdlu66jG9b/GbxR98XG9f1T8SnKG65dT7Pl9AoIzXn9ZNzz+1 Uuxl9l/al/loZJmPRpb5aGSZj0aW+WhkmY9GlvloZJmPRpb5aGSZj0aW+Whk vX9VOePgg0HNMlTawotL/4q+/Ik/sefgq++m7cuQ+Tb30ZxrG2dkqjfJK6c7 5ntkKBb0NKWWXaZmX3LynohnB9XISuNcpwzfY7D4+vbsVZ3S1UCXxmaFRwYY Evf1XxPy5uP8PO1fpG9uqOG75iNMLj7KlPVhZJP1oX7R2nrA/OxW9GLiqOjH hga3lnY09HG3+bboVO8KxTV2rnus/PCXQcJedbNbnrj7UBh7aK9Ud8vV7048 kPKQbgljPCPuC/8Z2WZO2srbwomRPj5Lm94VRl+Y9Zz2D1drNt7C7LqUW1U7 UXPuH1eFU+/+suWHIceFo3x7/jjkxClhxpv4Q8bnu6nE6sN3C57Q3r+7baxZ +BUZn+L/GMtzUoYGuOy7LjyqwJ/Ptubekfri7xjL/+o129/srp9w4dPeqRtW B0h98W+M5Xvsu8Z2famN56cOQcmDdgdLffFnjOXTig+I/s7ssfDJClGJtU+F S33xX4zl3a45PIswfyrc/rlL9pToSKkv/oqxfHXzC+N7b9Dmy9Ersyb9PiZa 6ot/Yix/W/paatPK2npVfsuCzNY5sVJf/BFj+fAUn7GV9mvzbd6kZRNrzorX 1gf8D2P5Pe97yfkaautZSpe16YULJkl98TeM5c3cH42OO6fN1741t4xPW5ki 9cW/MJbvnvok8U6bVPV4ztzu11+PMGy3PpTd8et0zT9t8HTfRZ90lXij24j3 F04YLPInleu8PF3tLeM0+ub2v8T/YL9tUMzl1EbzdHXYrV5E8KwQw+nxK3w9 N2Yq0+6Dny79MVTiIfbvU4mLbk31ylQVV61sMPfVI9m/3Tv5RVbquV7G85ml zZu5mM8R3jal5tvKTf0MtatuN/PYkKEaJWRGFlsYaKg4su+wWuUy1YeGd/pe nHHdsMujxeTSpbV4rH1gQoPE384a2I9h1jOY/RtG3qeyb1S5H1eJPIw8jLy+ XO8f6ONHng/1YerD3rH5nthHnVSBWw6tcymQrezHulc1u39HODFrUOLEjQ+F ax5Laxvh/US44RlDt5pvo4TvrV/4NrzUc+GxTt33r62TJFykV9k+ndukCT/c lDbH5EiGcPVFvYLDzmYJT3I5U/fMjRzhayMqzF9z/6VwSdvZoWPDXwv/0T66 Qaf4t8JHf+qwsHr2e+Hcaoee5ObmCmP/ooL1gxI654j9MPbD2A9jP4z9MPbD 2A9jP4z9MPbD2A9jP4z9MPbD2A9jv43T8dL2K1+I/TD2w9gPYz+M/TD2w9gP Yz+M/TD2w9gPYz+M/TD2w9gPsz7p/Q39eYj4X0cW7ytUbI2aEpPgZDMsS1Xx KuGz1f2aMOX1fht70mt/tupSZlPLC7MfSPmigFobax99LBx1a8CrzmmRwnP2 VvPIVzBW2GJB0m9nLRKELw498WGcVYpw3Z2XHpbaly48Y1VVy9TjmcK+sxfM vX05W9h8fELInjsvhB0Hdq0/59Er4bNdjy0YEPVGuFDLMuFWqe+E+1pObVTq zQdhnqfe/uhL6Vnfp+QI87xZf/Txk3490renX58oZ3zCjE+Y8QkzPmHGJ8z4 hBmfMOMTZnzCjE+Y8QkzPmHGp95e5ifxpD4e5TyN8l/NzGKrls6ScpjxzPPl /Ixyzs9gxjvM/Pg5bNsoL/vDsh/B9DehSnijqq1OCK+Y7DrWotkuA++X+jD7 GfpRDlNO/3pmPqIPTP/E3zDPD3meB+cd2Mt5h/556vtnv0Vef75JOf4J7WG/ vn39fo09vB+9PfrzGfpHPxh/Te+v/FPnEbT39kz6BKvGWVIfZn7DzGeY+Qwz n2HmM8x8hpnPMPMZZj7DzGeY+Qwzn2HmM8x8hpnPMOsj/HfnNQHnw6p6v/Yy wL6t5q4MurnX8LnnBchbW5Uqu9szXTgq4kRQiUJaefqu9bZlsjTe0OXnb+d1 yfzkvKFzT/OgXgdDDJEXBna1/Kj/tOc9G0xv8Eg4wDUqakTqLgXTXpdz53vl rMpSxdYvmRY37b7Un9Xb7UgFU1/hXUdzWmduuCJc6KRftusvZ4R7tu9U/XrN K9J+qnnIaCfzm5/013/Gtoevp2cLm9S0WTvyYbaKGXQyyb/Nfal/8s70lfsu BghXqdSuvfWfIcLpC4skfJscKlw/ZdS9oB6Rwut3da16dfkzYb+7DWcsdYgR buxaxt/FI1Z49MHXtdvMiRd+MOjJtHqXEoTNFl99+GpjsvB4G49asUEpwkEn 2l0N7psu7LbCKrHrC42/372/7ImhmcKPZm5p9YNplvCfa4qOWzE+W7jm2A8b 8hfLEb7iOuHGqOkvhJ3sh6RElH8pXGJikHn7ha+Eb/zq3fZCjdfCA/9oOrHK 2jfCpVrU2bKh4Vthz+7bbr3d8U54SJ0V6RNbvhf+YGNiEXzwg7BX+cxfunbK /eT9lkioXGbMlRzh02uuBjwu/0IY/wLWx0ucL+nPk1gf8UfkfIL7twq+/fz+ j3hTf/4k55XGchh/BWY/159X6eNT/fmUzM/kQKvwHhnq8KSetbavCZL50btK XJ2+T45+8rxMvENPXXmscbrp68YXUzNVq7izBbbv2CryPA/Wp/BCS+fdKBcg 5U/HLNg6yNvHoG9f/E3jfkQ5/ou+vt6/kPrG5y/+hLF+MbfwtjPcTgnv6J1v 4327rYb/6edxeZ2n8DzFH2I/2DA5u9NBbTx16dfXudt6zR/i/bfa+KKXZ8B1 eT8+MXfvm93zEibeof6QC6uqF3t0Tt73CtPHMxvY+ij9+yUeov+942dMqtdY 49ONBuY0ssiReIn264SMvPmsk5+0N9dmxqYF/YOEiaeo3/NAW+uBQY+k/PLb IpmZi8OFibeov2JE4Pq7X0VI+exwvxpe9lHCxGPUj159zGXb5mgpr3RhfcAI pzhh4jXqu06YWr3XsedSfmHz77MrLUsUJp6jfuXurR+Y3U6S8n5TalgG7U4V Jt6j/qW6ZrOuRKZp8+2Q85ibv2dobIwHqV/PzWF9i3da+Z0todfcR2n7BfEi 9WdN9k36rpC2f5gvsSk/Y7K2fxBPUt93WIM2maW1/cRh6q7xfV21/YR4k/oV e6/b5FdZ21/OOhTwbrRc21+IR8V/avsqdf+P2n5TwM6xYrHN2n5DvEr9843s 28//Wdt/bDv4/5mwR9t/iGepX+j7K1sHtdX2o71WjW7f8Mr9ZDwT3zJ+7cNz j7u7aOz417OfPIa80M4zjfNXf54Yd27kVI8Y7b6DeMJiROEbM/NlfHL+qb+v KOdt/qRhx1CZn/rzT9ZLyvXnnfr7EfR3+yHzZPDw9E/OQ/GXiSfwl2H8ZRh/ GcZfhvGXYfxlmP7Yz+kPpj+Y/mD6g+kPpj+Y+IT7NOITmPgEJj6BiU9g4hOY +AQmPoGJT2D04T4PfWD0gdEHRh8YfWD0gdEHRh8YfbhPRB8YfWD0gdEHRh8Y fWD0gdEHRh/uM9EHRh8YfWD0gdEHRh8YfWD65/6U/mH6h+kfpn+Y/mH6h+kf pn/ua+kfpn+Y/mH6h+kfpn+Y/rgPpj+Y/mD6g+kPpj+Y9rlfpn2Y9mHah2kf pj3up2kPpj2Y9mDkuc9GHkYepj733dSHKef+m/2Z+3z8Zxh/S1/OfSz+EuX4 QzD+juQHGv0ZGH8Fxh+B8Tdg5p/kHxj1Rx/04/4X5n4X5v6W9vXl3NfC3Mei n76c+1fsoT7jF5bnZ7x/5Xkgz3iEqc/9K88TecYbLO/PeP/K+0Ce8QVTn/tX eZ9GecYXTH3uXxkfyDPeYMabfvzo9zfKpT8joy+MvTDPC+Z5w6xX+vFC/+jD /gKzvsOst4wXmHLWQ5j1CmZ9YXzAlEs+s3E8wJSzHvD+YcqZ/7xvmHLmP+8X ppz1wHtGpfce1RMV+ZG1d/TpkVY0TpHvuMSwfHfTnGeK/MXgq0tTvroQpshH 3Jr/3doNSwMV+YWXV4Q49TzrrcgX3L9uke3L+pmKfDbn5ef23ikXr8ivDPHM eF06X4wiX3Kye68t5wMiFPmPzaKvt+q6O1iRz/jmVwd/w3N/RX5i6d9iCkQM P6DIN2T8Sf6h8f3TP/EG8T/+Hkx71P9q92qrOyUvCWMfjD4wzwNGf5jnB2Mv zPOGeT4w70f/PGHeJ/ztGNderg2ShYcNiD1gb50q3M+juknF6unC+bbbHjKr k/HJ88JfJf7iecGUE29RDlNOfEU5TDnxFOUw5cRPlMOUM1/ZD9g/YMYj+dGs 7+wPrB8wz4d8ZsYX6x3jg/EOM79YLylHP9Ybnjf51ujD+sL7Ih8aefY/7IOx j3xx1h/2L9ZLmPFBfjXvm3jo1bzkwwEtshX3bW1POpm3UFmfxC+cN7G+w6zv MOs7zPoOs77D6AvzfmDsh5nPcJ8yRWz2p2rrP/Ec5cRzMPEcTDwHE8/BxHN6 feoFnXn59LyvCm6Xdqzp7fRP/Pmr3V+65HMNUbWdLQruPqjtD1b56no0aR4n +8GigvZjXIZGyfrfxtPk6Y3O4bLef2i7pMnrfIGyvpcYkHvVrVOWahhqO9rs pLuhyJQ+70v1SlRt79v9Oe5MpDrn5nor6q+PfujVe7+vnxWtoqd2Hb3EM0ot nv6+ecvKccq55oyFs0o8Uct9c4uY/xWvzOvbneg+Mkh9W6VGu86mSWrHHcd3 O8K81UgTy+Zbu6So+A7bdiTXy1LOdqazfrvq9G/nA28Kf+DqeiJTufdzPdei v5b/93f5waHbZ7fZ0DJTVf15i8X3xbTyfzVfODbqccEC7TPEPxyzp0r4zmHp 6l2ZcpMu1dbq/6v5xNYrilvULpWq9PmBf5dfzPgvMOPs9w0KRqqBa8olN7PW /Muw1rGLis6NV2PVLLceVfLOR2Z+WVfKCku0jFY3poxJdsnV/M/ST8uU/8Mz Rp1ObBduF6jJ/13+MvP3WonqE4JTY5VT6yKVowbEiH+61c6m1oGdkWpxzcGt vxmad74z64NVgVVqrGO8ckzOnjfl43PDf51wJs3ewztEdav/OvDrIE3+7/Kj WX+W1fVa7HgsUfW+uq/jBEOw+Lf+XmOeFo2/p36YMKDg4Dp551Ozvp1t18Aq zj9ZnWzV9cxWC1/ZD6ocbVyw27rD4i/jf3Ael1f+dMGTDV8kO2aKf4r8yoch i0ZN0ObD3+VXsz8cabj5Wc+UvPOth/j132p9Mln8V/afOiUndHg1PfyTfGz2 k9pxGx1GH/g0Pxt/dtjxgmfzb9LGj96fraduxSc11saD3p/tnHAp7q+12vvV +7PLJn8368qNT/O7N00M+DD34dVP9t+x7RdfOX8/RR1vYfv96mJZKmNE36IX Ou1WM3ocKdv1faaKc5k5xef0QbVpx80I59IZyq1M79elfR4oh6+2tu6YmK7G vTzWMXN7gLr8g93YNRdSVNO2+6YWnh+m/hh8cfubxTdV1SrzO2VPTlHuP5ms GVtGe99e2SUquHbWuNvUM4VSjmWo9G5q/NmZvurZgf11m3RPUw4bpy5pMSJE 3atz8YJnyWS1bH7aiY5uT9X8i7UOtxiXpF5Mnh9lvj1CVals2vS67QV14FjN 151GpSq75Dbe43pkSfvZFku8YwsfV/PCQ4Jn5mj+8O/NWttG3klV6zxcDftK nxP/eFfpNf4P6meJv9d01aJyIytlSfxUwUHVyuql+ccnq1W98aZLlnp8u+Ti 3aZ7DM2utx7e44QWj5uXGFmg1UfektHysflQLT73DDBcrno5TeWPzCx2sH+W KtCsgevswycNj8o8nzzTLkt9e80wrVvCMQP12U/13x983TN9Y9kzh8Xeqj1C Ju/9du8n84t8fN4/7S3ZVSS17qgLWv3dZWePOH9Z+M2KCpvdl90SnrtifY/8 MTfVv5qfznil/8u/1jg4sbS/tGfV5VDmNxfvCZ+dX2nvpZxA4VnzQ13HV9WY +UF7FYfuqlezWbCU2w6N7en0TYg2Hlofya1TI1z4fGvHsPAeYcLMR8nHqdJo 0VqHCCnvtKr5owkWkcKbZ++w7FInSnh67gzzGleeCTP/ae92auQEE99oKX8+ znReLasY4Z8Hjnhs2iZOuPzTdrfCgmOFWW9ob6Tf/kpnop9L+YKud+o/7Rov /NC6ntu5fonCZy4WdVqTliDM+kZ7Xx+ecGfs2yQpr2a5Jnzd8GThSRVeNJow MVW4z9agKp0Kasx6S3s9229rscYsXcr/+PrIDQ8bjQu9fzp+bbsMbbxZ+8fN Lq4x/jftpVcbFt+xaraUm8Q4TbS31Xh/2N6Kne1zhDdV2LDWqpbGPkFNes+M yVTjGu3znFLruNyf0b5NaR+b6nVfaOtTYMitn4do/OJO4Uk1HF4KxxV+k1Cy scbEd7S3wtRyfW7TV1K+45q1RelxGv9yftxtE6fX2vh/83urFBuNiQdpLzxj ZVJouzdSnnzM3Sl1qsbrDgRUDp/9Vnh+wtUNPp01Jn6kPctnWa1P93gn5dY7 89+9vUDjmE1WzmeWvhcOCqmRsttWY+JN2ptxv++m1fYfpHzJKoeqHqs1brRo i++ajbnC1X0Wt509ROPP/X7lwhyv5ybfZUo8m9rfO2Tnx/3FEOYWtOCXGyok ODTwz7MZ6vqkgRFbLX3VrEW3XHq8yVAdYkde2hzg849//3J07tqLUa3SJX4+ 1mn1quVOaSp99763r8qGqMgjXmG3CqaroNZlM7fcffTle5n/8PcyU7wdDzkO 3qkGOa0NWD8nTZ1vd7lJKXvtfvWds13NkBPafddud8s9z2y1+583Fb4pWqbD NbX4e4+lc8K08466oU1rP+yWqkx3j6/nPyxDEX99O+ZcxeeX0lWdnvZBJjMD 1Zlc1w2TF32Mf17626W/eqyir0zasXVMgmpf5FBqtbHPVFmv5OVFD8SqBc9q dKxVJ0Y1Pul9ZNdHP3Nr1tO15a7FqcikwTeqpIaqkg2GnenfPEHVcyrk8Kp+ gPrGNH/NohuTVFi+zo09f0pSNtMG+Y15H6HeDg66GbXmuXq2tE2l3fejVN0n I2MsvKLVcz+n/T2nxapWTdaePWsZoWKrWZ/KzBevGqV377948yP18LFzYObo ROXuZqhvP/2jP57r/Nyx3lU1cfno6j0SklVkxeNtZhbS7qd4fsQHMPEHTHwD Ez/BxGcw8R/M+QHMeQOMPpzPoA+MPjD6wOgDow+MPjD6wOgDcx6jP3+BOX+B OX+BOX+BOX+BOX+B6Y/4if5g+oPpD6Y/mP5g+oPpj/lCfzD9wfQH0x9MfzD9 6e+jiffoH6Z/mP5h+ofpH6Z/mP5h+mc9oH+Y/mH6h+kfpn+Y/mH6199HE6+i D4w+MPrA6AOjD4w+MPrA6KO/ryY+Rj8Y/WD0g9EPRj8Y/WD0g9EPRj/9fTfx OfrC6AujL4y+MPrC6AujL4y+MPrC6Ku/T+e8AP1h9IfRH0Z/GP1h9IfRH0Z/ GP1h9IfRX3+fz3kG9sDYA2MPjD0w9sDYA2MPjD0w9sDYA2MPjD36fAPOX7AP xj4Y+2Dsg7EPxj4Y+2Dsg7EPxj4Y+2Dsg7FPny/BeRH2wtgLYy+MvTD2wtgL Yy+MvTD2wtgLYy+MvTD2wtgr971G/4Dvn7Efxn4Y+2Hsh7Efxn4Y+2Hsh7Ef xn4Y+2Hsh7Efxn4Y+2HsJ98e+2Hsh7Ffvq8y2g9jP4z9MPbD2A9jP4z9MPbD 2A9jP4z9MPbD2M/3A9gPYz+M/fL9u9F+GPth7IexH8Z+GPth7IexH8Z+GPth 7IexHyZfnu8l+D4A5vsNmO/JYOT5vgJ5GHkYeRh5vh9BHkZe//0qzPmofL9g vB+AOT/ivJTzHpjzGpjzFpjzEpjzDpjnqc+vkfMLI3O+wPuGOS/T52MR/zNe YM7riPc5DySe57yReJ3zTOJxyU8zxtucx8p9jfF8mHiZ+QHzvMmXhvnegXxn vk/h+w75vtr4vmG+f4B5v/rvcYnnYOIpni/lsD7e4v0wn2DmE8x8gplPMPNJ /77191PEJ7xP/HXeH/4yz5v9CPtYn2HWK5j5y3zheTFf4B7LzueLbZKl+L8/ 8iv4/zryKch3IN+H/ycjf4J8DPI/yL8gX4L/l+P8g/sU2tN/b7vXcCf/gFOa fty3UK7XX58/R3uU870z8537CN4/TH3yQWDyOXgfrB+wfC9tnC/yvbSRKWd+ UQ5TznyU77GNTDnzl3KYcuY75TDljC/KYX0+EOUw5eS38D7cp1vYXWmdI8zz 4v8Yf5nU4yvPDi+kPNVxrufWri+FNww52W9xr1fCNv3j8rv0ey0c81s5r2GD 3ggv69R5QM/hb4V/aj2jQKvR74TDm3oeqzvxvfC8BpH2FVw+CP9Yu1Qhs5m5 woxf/u+R8cv/L/J+Wb9g5hfjmfFGvpv++3y+r2L9ku+tjOPZxHlZ9XV9NR5g 2a2d32vt/ynoH6Z/8unoj3w6mPGFPIw8+XbUJ99Ovoc3jj9Zv42MPPl41Ccf D2Z8Ig8jT74e9cnXgxm/yMPIk89HffL5YMY38jDyrE/UZ72DGf/Iw8gzXqjP +inrmXG9l+/9jIw840+/XsGsV8jDyDMfqc98hPFnkIeRZ35Sn/kJ4/8gDyPP /KU+8xfGX0IeRp75TX3mN4x/hTyMPPOf+sx/GH8MeRh51gfqsz7o5y/fkzF/ 5fsy/j81qviwAts0LrH5wTxlo31fhj/K+8Uf4f3jD0h+qe7/N+V7ZSPjHzOe 8A/xH2HGI/mYjH/8QeIPmPlDvjHzDX+R+AVmvpKPzPzGnyT+gVkfyFeW7x+M /qbksxuZ9Yh8ZtYv/FHiL5j1j3xn7OV8j/lO/jb2cZ7GekI+N/ZwXsV6RX43 +nP+w3pIvjf6cn7Cekv+N+s5/jOMv4e+vA/043mjD8+T/nle9MfzYP3g/J/1 g/2a50f+LeOL82zGK+MJ+9Cf9wHTHv4e9bEP/SjX/x/Kl/zZ/975s7yPmq0r Ffe9kyrxBt/rfvm/mf/3/838p/OP8/o/G31+sj6/WJ8/nFf+rz5/93Pzcz83 //Zz82s/N3/2c/NjPzv/9d/8f6C8/u8nr/8Lyuv/gDif+fL/QF/+H+if+H8g 9n/2e31+qz4/PK/8b31+d1752/p8bX1+tj4fW59/rc+33hbyrqDJ/yW/ek/L IwXv3dfyj/TneeT/6v/v6HP/z+ifzt/W50fllW/8n873zuv/l/T54Hn9H1Ne /6+UV354Xv+/9G/nj3/m/zXllV/+X50P/iW/+0t+95f87i/53X+X3/3v5mv/ q/nU+v8X5P+V9P/v97n/38Z9J/Ge/v+g9P8X+Ln/9/fl/+G+/D/cl/+H++f+ H+5z8/3/f+fz679n/K/O75f/bz004Pz8nEmGvPL99d8/IB85u8fLUUXT1f8C vx+qxQ== "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNlvlvlGUQx2d77XZLu4XWUlqwx4ItLdhqa6UKtAriWbRVxKooRUErtijY YkHAW1BR5AdNvO/7Nupf4H3EIx6JRzQajUaj0Wg0GvU7mc/G/vDJ++y8M/PM MzPPvNuwZsPAaJ6Z/SryxZFisVggdolNolkcLXpEt0iLQlEkSngmIQ8/y0Wf KBDHiV5xKLoJ9AZEv0iJClEmMpDG98lihZgipotpk3SL0TtVDIpyUSWmoueU otsh9hdtYouYEO2iFhv3vUYMiWqxr5ghasR5YljUi/1Eg2iEWehmedZBDb7P EKtEpWjCJkssc0ULzMF3K88mfOxDfKNiRMzmDC3oHijm42+juJB6rRNrxUyx B70uZHXEdgh1TlDzbupSSF6LJ9U4zbsksj7WXuseapuPryJ89GObpAYV1CRN jcuobQa9adShir3LqN8gthlqW0VeSrGZSg78jAeIw8RCal7FWWuobS17zKBe s6htlrw0kP85vGtElqtxI77qkK3CXwXvmrCfS03m46sFWa7GLZyhhlhGsM3y rg37Mdat1LYVvU3Uuxm9Ds7vtT6IPORTlwLy0YXOEnE4st3ierHI4q6dYnGP vNbd+OhA122PEcssesd9HIHfXrGUvS4XKy3urPvowc9CbLqIqxf97dSsg+cS dG8iLj+P9633dL1Fjy0gRn8uZu1zxHsuyZ7Hss8KzlbOfn3Ek2Ttdj6vTmDd x+8U51w2aZ+jOFMGv+7zRItZltt/gLP78yTWK4nB15dhk+K3+ymBfmTjFrWf xx6D7Omz6HyLOeAyn30+W05j7brekz53fI6dyboS/J336nTWrnMF9uX4OB3d K7H39VkW87EahvBRy3omrLX/595qdK/CvhofZ6M7xG9fXyPWU986/Pj6anEO Ol7/c5E7w+h6Lvz+ZGEY2XryVc+ZBznLMPLZ+F6H/yb8+J3K3TfP/06xAX2f wxegM8LvZt6PouPfFu/lNnxsxE8zv32fS8XxFv3o7y9Cx2XLkS9Fz9c7xDbR Ka4TWy2+XwW6DM/z3vvXeyuF7nbi8Hh3sb/3o99P77HPxWcW3+cJbFz/YvZw //6tvIR97xPfW/RHifadIm60eN5qsU5r/aqeN4gXxJsWM+I38Sg1+Us8aTHD /hCPk7+EbJ/lbP+Ip8VmcZf4mti3EWsnObuWvPkM81l2MLLNyO8R31rMNcd7 vZyzTVCjcc7cjt04tv5uDPkY8pzdFmJYbdHf3tt+L3fSAz67fBbnZq6vfSYv IlafaX4PvL+997yv/Q7Uk7vd6Hqu/R5W4nMv8r38dv+3idct+uUO8SW9sAcd 3+tlkUnEfN1K/O3IXrKQvyXeJoffiXst5sI74l2LOfiNuNtinr0hbiEPD4gf ycf74j2L/5JPiD8tevAZ8S+5fk7kJaK3HhI/k49HLP6Lej4eE7+T16fE39T8 ZlGaiG/JL+Jhi3v8oniN/Pwg7reYX5+ITy2+B0nZFSciv/Ooq9/1VCLO72f/ QtxucRd/Eg9azC+Pt4iYPxYfWfwv/kB8aPFt+ErcaTHfCxORo07ifcUi5v8A EtbZUw== "]], Polygon[CompressedData[" 1:eJwt1PdvzlEUx/HztUfif/A/CBpBqdorJQiClCBIKwhidmsrSOy99957byKx 9957z9rvk/P54ZXbpr3Pveeez3lqZmZnZJUzszaogPm4j7Zoh4V4hAx0wGI8 RSd0xi3cQ2vUww6UT8zGso7HXOxGKqbgCm6gBVKwHSfRCONwGpXZP4l1Mvbi sc7OxXp8RxaysRl/MBwjcBczdJ7faZbXlcRdamE1PqIv+mE5XqMHeuI8LqMZ 6mIrjP2jWEbjOqajoWpYihfoim5YiXfIRG/swQO9ZQ5mowafN5W1Nvbhmd4y DxvxE0MwFJcwDQ10p7X4ggEYiAN4o7sX4CDe6+xCHMIn1VqEw/iqvRMwBzPR GGk4gh9622Kc0P+kqUcX9Ub+Nk1xExf0c0v1eh6aqAfnVLPXmo5j+KteleK4 P28SbzsRR/FLtZeo9qtorje4Y5E5z1or9eK2fvaeeHYXoL1Fhj27i9DRIsPe 6xXopZ5fs8hkis7wbC9BF4uMe2+Xobt6fAo7VYu/2X68tOh9vkXvV6GPRQb+ qUavbSQeWmQ6V3d8pR4W6AzP2jaWMRaZ82xv0V7P+HOdma87nrXIWI7e/IlF pvJUs8+iz5jPls9kJX6vmMQs+BmepXUYZJEpn60NGGwxY57FTRhmkclvFhkp 1p4y9axEe36rx6XaU5WzqqCOxUx/sMhkkd7IZ2EXa32LmXhrkeFC9eizRWY9 q/0tZrt6Et8lqRazvEZ/85k+g2pJfHf4Z/4Hy2GrIg== "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJw1V3dw1kUUzDtm7AUCCCEghBJqSCAhBEJN6ARIAkiAIIooSAnSBBUBxUgR NSpFGeuMvffee++99z6jY2+j7s7u98fOvbvf3Sv7ypfkzVtW25CysrI6RVZW M6xdsfkJ8gKgCOgY+lYIHOp9I5ANHAJsAloArYHBQE+gF9DP7/KArcAWIAfY CGwAWgK7gV3AZKAM6A70APr7XWfgWGCa7S4EptqPYn/vApR47QoM8NoNGGR9 9GkgkG8bpf7OfV+gg3XWWi4Ayh1Hb2C8/aO+sX5PfSPNEWMdYY64H2693K8B pgDtgArfZXzjrKPMHJCfXOAYoMZ+bDDH2ea5FdAcGGYfaWOe5aHAImC6ea9y DEOACfad+Znotdx+TbZvjc4hcznK/JbY3wrHWug4Gd8qYK45agBmmvelQJ3z sQSY4TzlO15ytxo4wtwuB+qdl2XALOfmOGC233VwrAX+Vuo8t0Wt3o11Uqg+ iuxjJ/vNfZ757mc/ir3P1EqJc19oG5l64r2VwOGh+lkBzAnV02LgMOsuNl+V 9m+Yc9Hb3GfqqNy893AuymxntN8XmeMR9mO4ddHHMb63B7gAaAJOcu5yzSvr aax9HWwb3W1noGOudC55Nt5vMjWRqZEJ/lZqfWPse5XvVVpXsb8N8N3Rjof7 dcD6UF0dH+qrAvM81bmqDtV6B++nOW/dXAP53k83z3nmPNPzdc4h7812rORm fmjO9HTuehlznROCtdfH65GWjwr10lDrqneuTgCOdizcz7Fu+jHDvjC+BY6F Ps10HPR9sX2nj8utm3EssQ7G0eB31LfUOic7x+2sb5l1kqdF5oY+rrBfnBkL zfFO4ESgveNe7bgZxxrrnOfcFNjOOp+Ts1XmjFyuNZ+Me6VjX29eeP9kv881 /6xR9iPnO+cXZ1eTv+X4bHNornHmnB6aO/xdOBVoA5zifUbHRp9TD+dk29Cc 4kxs7ndn+85ZwHbHzvVM+7bdb9s7TzXmaoi5YQ3sAM4zT9R9Wmjm8t1Wvz0X 2OZYtvk8x3e22xbPzvB91jJnWb71bXK82Y6/hbncYbtrbSOjs8ky62GX9c83 n5NsZ6dtnWP+m3x3t7m6E9g7iaf7gN9tZwbOfrTdPX4/yWuT3252Dto4V43O 3QF4u09STA/QfpIvLbAemHSXPVFtvtvgrGWSviuBXkm/7VvsK20lnD3iN30g vxzqoULIr4b6pgzy26GemAL5tlAP94f8eqiHekJ+MTxTID/tfP8NNEvqjVFY Pw7V9UjIH4b6aRjk90P9Wg75XecwH/Lzofn1EO0n1coTrKOkOnsM+DfUS4Gz f0K2bgJGJ/XqR7ZNu+/ZHm1dDwxJ6vMbgOFJdfMFc5I0qy4m90m5uJU1kdTb twATk3+TsV4W+m3vAvmZ0HzaC/Idod66GRiX1M+fAROS5sQnwNikGfCBeam3 /S9DPvD7p6E7FwHNk+rhEuB253Egzq4LzbUcyJe6Zr8lf0m9+idweeg3oB/O rgnNxBLI14bmYGfIV4TmWo+kumHNXAjsn9RHfbFeHZqzvSFfFZqPg5M4JZ8j IN8Ymr+PAllJNfYH8HCo/2pw9nNoJv5qrsnzLJz/Epqb1ZC/Cs3OAZDfDM1v xv2dYyeXn4f4rErKE3NUmVQHrIH/gMdDs5O5+s35ugf4PtTr45PyypyOScoZ 8zU0qT5YG4ypIimuqeaGv6WvhHqG/fJUqAdY/+zLg92b07HeFep31nKd65k5 yUvKC3ktSuL2tVCPsb++NhfkYRrtJM0M5rA4KY8/hOYLZwtrYVBSPeRivT80 O1sl1RDrh7NkP8+Tg5JyzPy+E+pD9mBHrE+GZjx9599/9H9frNlJs/qt0Izg fHjDeWKOOHtae/7w/5u/QvOJ9dU9qcZeCs0dzhzWUUFSLbEuuiXVBmuzNKk+ vwFqk/52eDbUb+y150Lzgjl5MNSTzO8LodnEuTSHfQacH1rvDcn/A7bCNfI= "]], Polygon[CompressedData[" 1:eJwtlOdvj2EUht/3UcQIGrSokQohhBBCCCGEEPTHj9ZetVdrbw0ixA4qJD4Q /gZSe++9956xJfa+7pzz4co597Pe5znjzczNT+aFKIoSkAJlEGVhSRxFlaE4 /i7sYlgIp6EOY2OwSaiAnwpL8dOgPH65YHs1loX/HDsMZkBpdCmoFNs3jsEf mAcL4BP8grmwES5BY9ZPwGZDCv537BwogO3wz/dmwGH4AaOhp96gbwW72zK4 AS3Redh+8F770Cuw6zWG/wE7CjZAMXQIdpbudA2aoydh+8Jv2AHVfT5iLg7m a88pqI0ei+0Fb6APeh22ir/9KMz3GLyDvTAbRsIVaMr6idgc+OsxKPA9W6AE ehG2IrzUd9AzsblQBFWDndUDauAfx66GVXABGjI2XveCgfgH/e2F8BEGMDbL Y3LI1xR6Durhn8X2ju2NmeiT/lbloAH6vJ89zmNVi7E1HrMc/Oxgd1NMnkBX 9HTsEK0JVhOqhZXwDLoHq6Wh8AIS6OFeY/egPXqK7gkPoCN6KnaQwN/qsd8E d6AtY5P1TnjrazSXBSc8ZoqV7rwNBqM3e34eQWf0NI0rDvhfsOmwFnbG1kPq HeWoJP5rn1NPNUFf9tyqxvdBNcaWx1aTSfxXnssRUBd9JrbeU45/whGvNfVk GvPpwWpdd/gKu/0tCT97v8dS36gZrIcyvCb2eA3qbXrjLWjNmnxsf/gMB/ws 1cS32HpIvaOa7cbap54b5bAL+rHnUjFqhr4aW++oplugr8fWi+qpTuiHHkvl rAP6vudOOW2Fvul3UQ+3Qd/23OmO7dB3PffKaSP0xdj+Harxc1A/WC2qZv8D PPCV2Q== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmGfUVtURhT/uXLD3RhckgtioIsnKSrOlF/MrPdIMRkGiIEgR5EOkfAQp ohQVkKYgQtRIJygdBFFjRMGoKBIVCWjsJvvJ7HfBj73Oueeee8rMnj3zvk07 9by6R1FVVfV0raqqUPuIHp4TFgg9hX5CX+FG4VY/9xL6+3m18LjQR/iTMMDv bhYGCQOFRlr4OrWdhW3Cw8JC4VH35wuL3LJvU82/Xm1X4Vlhu/CQcJPXY483 hFVCb+Eizb9YWKv+IWGHsFhorbFWwj3qvyas8Bo9fKdbhH8Ky3323cJS3/Vl 4a+e+7qw0nfaJSyxbV4Vltkeb2mfvcLpkTacK8wTztbzH9V2EcYJU4TJwmhh ojBBqBHu9vMoj40XxgiT/I7nqf4ezBRmCB20/iXCBvXvFaYLD3iPGX5m3fuE acLz9i9nbB65/p9tiyHCYKGBxrur7SS8KPzd/tlhv2HbeprzB7XXCHd5P/av o/HawrXqt1T7gue3ieRDb/t4jm30lyO4sFN4yWPw5H3zY5++fVs4Q3hHeFc4 U3hSWBm55wqhQ1lV9Xv8pv6sSF4uUztW+Jv6Y31n7gsvmpsb56ltEfn+FbW7 hJN9j7q+y9ueV1mjhb/9UO1HQn1hDfsIR/ne3P+xIrkJR+/EhmqfE44XNul5 ln1zoZ7Pj7z/43wnhPBrYbXwhG3DmtizmdqveM1fRt6Z+y5W+1Wf+VdqV/lb OAw34fHlaj8Q9qj/O7VLbR98/an9/arGdgunCK8JrwunCoXwYZH3gkufmE/c 95B9vUdz3hBOE7bqeX+R8btFeE+Y7W8OmldoyOdFnn+/vnlPOEt4X/i3fbAT 2wgnCQeEy3zH/6i9wlzEnu/aptzhA3PpU73/XGiIwIkjV1mP/qu2lp4bR+rM x0VqTftInxB3n6l/peNhM/t5n2eEj4q8XzP7d3iRsUucEasji4zbcebeHUXO meyYGed54/0dvBzmeSMdi8QkOlDtd+jG7cJQfz/Cc6f4mbWe9jh71HhutfcY 5TVm+Zzck1hEM6b7eaLvjq60t0asLzK+mTfT+3H2jR6b7fUm+PvNttP9RcY5 a6NH89zONCdoHzSmeo3p3gs7rfM9eJ5kW2AntPfESP1Fw4lXdLyj9QAdQM+J s6Uev9QxjYYfG6njdT0Gf9Cfz4qMM3j0he1E7oD75A/ywtGRuaGFNQTfwvEv facDcKtIjR1v/4yyXUYXh/W+xveZ5n2wAXFQOpbXFKnL8ICYI/b+UWTckKyJ HTheK5Ln4fh8zD6ZY7/MsC2n+BxDzKGnvPYI2/5B+2OwzzzC80b7u/leb445 VeN3xMJW34HcTC4lz1IrkCcrtQNtpXbo5XkDPbdSL9CSI6ptG/YgHsba73w7 zO8H+B3Paz1nuPeq9hmH+bsxPs9Q32mg595he4zynZs5jgf5/sQU/Ovr74a4 38N3axuZ2/r4fV/vc4x5Bk+oZ7qpvaFIXUPvqF3QR3QZXlEnUO9Q9/xfc4vk 8wmRXIfDW2x/ciI5Bi6i7cdFch0+o4/EA3EBN1s5fuE4uRqek7vJ7d1tn/5H 2HLAEbYZaDtU26b9bb9+fsYWt/jO5CJsd1uR9QO1HhrbLtJG5BfqQOog6qEn bUO+J69Tz5GbXlD/+ch7vwjfI+N8u7At8q5oNLGFlqDHxOom33+3eUae2Wh7 4YNd9tdcf0sNQg5a5D65t6XzL7mDeKImWeg+ea1Sp1bq1sp79Hav+YI/Xvbd 7tZ6CyM18BzlmYnq/wtfqz9B/X3qn6v+Peq/gw3V7xF57ovVv4/8p/53iesy 7Uas7/SZztPY5Mi7XqD+1MiaCa7AGWLsJI2P0fibRcbtAt+jh+2CTdD5Dj5n beskXKHtaC3d4HlwqY7HaztPtve3r/j+rP19jR1fJudPpC6L1LM37Xv8/qjG ekXmiuVq77S+sd4lXhNdQVPRJnIQ9iMXVHLJXPt4vn0y3WPcdZLXQmvhX1vH KZxuY64y1s79Sk5i3T6e09ttW8/B7i+ZD2fqXndp/C3166k/LpIH56vfN7KG Hal2hH12pcZvi6yb8NMWn5k9t3tfao2PXW+00PybIudRa+wvDuvsVtvkCs25 1fXL5er3jtRjctcznktdc8B7YFNiBb9Rux10HJCvOBexsUlr1ET6k7xDbUdO gYvbzPmH9X5+ZL4i7z3re1CLHXQ+pQ79eWSdRr222P3ZkTUo9Wc7nXm4/T4K v5fZpw4ltxGLl2nsRvPkEbU/iqy9K3yCSws09oPIepjcucc+JC9Qu5Mb0Fn0 lhwzV3N/GPmuUkOQj9porwcia1nyI74lH6JNaBR8+IXePxRZK6DRaDU57CJ9 OzDyd1Jr9W+PtN1V6ldH1tfUnl9EamN7jc+ItPH31B5Vpv4v8r3Rl5ka/5rG L4is05dZS6u8HnPnEZeRMUps4TdisJXHiION6v8m8v0exwP2If6wL7bFHl8v 0yZXq/+dMn3QP5Jn+JgYQOcHef3W3oN8Us+60SeSi/BvcCTv4dawSFtwbnJE Q/Mcny83B36s9htlavpP1f9WmdwldzS23bqoPaNM/5wTmV/RmdM0dmmZHPiJ xr5ZZsycovb0MnNU7TL1FC39mdpvlxkD8P0pcx4damcedvHe5DN+49XzmWnr m+doef0y9fy3kbbGzvwmaGZOlnpfR2gSySN+v1IDcHbugN83qF0fWTuQj/A5 cQfP+H2I7qxVuy6yBt1KrEfWsi39DfPJJ83KzCnkhJZl6g355MIy4xjdOrlM fmOzBT4nGnZWmTpG3tgcGWMdy4w94q6z/YfPyWlNytRl4qZVmbFzqtpOej43 kuNty+Q5+ap5mTkL/zewT3dYX9CWayJzBvFNXdTE/uI+5ABqW/bjtwG5YLTe PxFZN38Z+XuPtQ9F/oasay5Pj+TzCeofU6bd4dq9kXyDL1MiOQPvpkVyL8r8 rdjY8THeuvFJ5O9/eLAk8v8IcuO1wpxI7YGnnSO5yu94fpOTI2+IjFtiBw7e H8nDpuT5yHvutQaNMJdYj7qsruZ0jaw74BwtNWpjjXePtAt+XWPtOrpM/jUx 51Y79jfaptjz5sh8Q67pF5nD0PoGahuV+VsHXxJDaEC3yHOw97Fl6hccZo+z 4/D/d/SJIex9nG2OHRvZp4MidXOH/bnPdxkaqaHoJ/UcNQ31DPq7yuendlni 99dH2m6956Hp6Pl1kXZZ52f0uvJ7Y6XX6+Y47Op3K/y+Z2RNhp0alhkD8J88 Ci/Ilf8Du+zvbQ== "]], Polygon[CompressedData[" 1:eJwtlXnQjmUUxt/vPnfRhwgtJErRV75RqTGDFvzFmDatmhZU1tC0WSIt2jCj mWZK0zSmaZ1qppqkqKhsiYgWCi3KHtmzJP0u1/3Hb851nud53+e573POdZ/R f0Tv4alSqYyGDBOiUrkRDnJxJfyF3gJz0CcRz+Ohh4gryHfDEvS3UA9mks8j fgXHwUfk5/D8fegl6L+hEXk/8i/RG6At+QjyRehtcDL5HeRz0RvhTPK7yBei t8Ic/RbqwAzy54k9eaaj3kveHD0APQ+9GU4nH0K+AL0FLkdfwrXziVPJXyV2 Ij+XWAvL4QdoALO4P4h4KvfPJtZAL+hC3p74FPdXE3+FE+BT8v7S3D+L2Aa2 QXf4XGsj/gZ/QhP4jGs/En+GhvAJ+TPEHvz+QuIX5LXo0ehl6J0wF31zWfsa WIy+FT5Gr4cX0PfAYdUuuXbbw+9WDTvwf49pjei9cC36ivCz+2Ak+kHtA/o/ mI7+ABIEjIWH4XvuHUl+1wOwNPmdP6Ev1TqT1/QHdIV1yWveBN10nfxE/Y/q oT1M3vNH4PFw71W0B9AZVifX/Be4DH5P3vOFqgesTe656+BKrZn8H3gCPVF7 jK4ivgFv6jvI58MN6KthF/oATEE3zq7dePLriVfBDvT+5NnoDXuSZ2R8+D/0 W+2Jav02/Jtc83fR78Fi9DR4Df26egD9IdwdroH2Xs/cX9agb9eePo3uA4eS 1zAm/E36FtVoPXpzeC9nk+8h3lZ6R+94MVxT1VJ7cg16JhwLA8lnqw+hb/K1 GXBT+Nsy8R2YHNZa08vhPa0qe/C+ni29MT25VybBquSeuRhWQH3VTu9gb4+B oZpNrn0XnjnNmp5ZFZ4JzcLxpbbfQHWp8dKw58hrqkvvrAw/qx7aRdwNp8Ag zYxqV9aqaxvDe6a9alp6cWvY29STR3tLPVB6bG14xjXbjUpvrwlr9fi68Exr lvWb/eoFaA6D1YOqbfkWXavKNtoh5C21p6ptebYF8bBqFdZ6ZkHYU+Wldcss zA9rzcQtxK/DXiAPGIdun+0V8ugnyS/KnnXVpD66AbTm+jDyR4kXZHu5PGEU ebtsr5bn3Etek+3N8vDB5K2yvVWe+mzYI2vKTNXjXrU8O/kd08IzXSkzNpTY OtuL5enDydtke7vOgDroutm9of/oS2yY7W06M05Dt8j2bnnyW2EPry0z0jm7 J9WL7cLe/kpYy+MTeWTvvXrwpbCnycs04/KqDeHekGfJ6weGvUKer7PmufAs 68y5E5pln1U6c+Td8hB5hzz8dvVW9lmnM01nz7DwWaUzqCl5k+yzRGfGsjIz mhWdqf8Dz0YJRw== "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNmgf41lMbx5/0nPPIfu2dPV6vWaq37E0RlVlGMjKLFCqjJDJCtkRLyqqo JNpDSVIilPbSIkRE3u/nvb/P9Xdd3dd9fufc66z7e5+n/75Xt2hw62aFQqFK 5UJB/wp3p0JhS1FJ9C/ROcVCoaHoErXriV8oukjtuuKNRNerXV20g+juXCic XSoUjlf7MtG5yIqaqH2e+MWia9RuIN5YdKvoOmyI6iMvqia6QlQfn6Kr1D5f /FLR1WpfIH6Z6Ea1jxXtKNpd1Iw+0e1q7ybaVXStvi8XXSFqkKJ9jehmtWuI dhK1FNUS7ZIiFmSvdEzwq0Q3FcM+urdKrqZoZ9HN7sNPc8s2Fd1gfrXoCVEn 0YOiWyyLn66iBzzWyrHjp3Ux7CJ7h/v4vsffjO+RPFdRG8uylneatxC18zi2 Wzo+4mrvPmzdZVnGx8rmGNFeKfqut8699omffTTWQfxRx363qK3n1s62O7mP 7/usR1x7p5DvKOpsWeb0kDl+HiuGfWTutx4xPu4+fD5sWWx3MUd2dIr54vtJ x4SfkaJ3RANFT1sfvXEp5vGcaILa40X7il7RdzfLdnN86DzveRPjC+bE9bL9 PSX6WPqTRPuJergPGy9alj1/yZxz0d0c/YnSeVa8l+gTtaeI9hf1txx++joO /PezXez18TwYe9196AywXo9/+GPsDfcx197F8Iv+ZPnrKf6216yn4xlo3ttz 6ux1GeQ+/L/r+F4TDXUcxP6+48DnMPfxPUY02HpDPB90pimGT0UHiKaK3lLf CNEox4HP9+wHndHuw9aHxZAn/o/+MY/BjpH4xtonNqb5fGB7ouMj3s/k9wPW Q/S52tNFB4rGWY94J3ie6EwphjxxfmJOLJ/ZNjGOtx46093HGky1LPF+aj7S 83vBe/y5ZYl9ZjHiwN5BnDfxr0TLU8T7teh7tVeI5ogW2B82Zjlu5vqN50fs 35oT+zyvC7H/KJpfDBvz3YetOZYl9rnmxP6dOfoL7XOGaLV1kD1EMX0pvpSY Hfts0bJi9PO9yHrMdYnoC8e+wrL/n6M581hj2/hfbD101rqPOa20LHNdZT7H cuO9Lj9YlrmCX2AdmPeL7RJL6xSx/io6NMU81rNPKfxtEv3sOaBzT4p5/ibq kGIOG0RPpViXP0U/eb3QeTbFfP4SPZhinr+LuqSYwx+idd4TdHqkiPtv0TC1 h4q2Er2dIo7K4luIkiiLBqeYT1G8V4o9LogPSBHHZsb/7BqgbYqaYPMUuE8t QE3wWoo4KqWoDagFqAm2UbuKfW5rjj32c6zPLvUAdQH1AThBrgY3qA3AdjC+ mmuKJmpvn6JeoG4An8FPcJR6gLqA+qC6awEw/lhjO7INU2A/+A2ugSfgyuW2 AX7XMJ6D9zVdC4DltVxHgOXlmgDfYDL42cr6N7uPMfC3jPO3eAxbza3fzLI3 +ruFdRhv6W90WttHuZ5obnttPLZnijrgNtsiFvCPeom6qX6xoiZAh5qK+us8 2wVz23sMDC3j/L3FCjwG9x6y7fbeK+zdb52qKXC9g8c7ey9vt2zbYgXGMwb+ g+EdPdbJ39Qdo10flHEd32Wsfd6yYFhX2wKHyjj/pMc6WKdcnyD7uP13sw52 y9jO2Iv20dHfjxUrcJox6oJxxuZHHQtYyd3lDq+yf3C2u+2Cq+ArOuBjL+uB P2Ws7uMxMBaMAquoHSYag4npNesQRz9/YxcsBUPBNXABLKFemGy8JPbXrUNM /f39svX6Fytwvewb3PnQPsC4d60DXpXxeYjHiHuQ9ftadrDtDrMOft73Nz5G 2kcfy5b1R3nsU+M9OPqWYwFHwRDy3ALrjLbO9GIFLuGP/E0eB6vB74/te6LH xtjWdM8DWXIR/sC+ycUK/J5iH+DdNM8Z2bH2P91jxDjVOmX8nur1GFuswOwZ 9l3GSLDq4BT4DeaB1eA32AZmg4GT7HOm9ZkDGPiFYwXLvi5W4Pc3jnWefYy3 7EzHOt9jxDrHOmX8nuM9mOYY8bfI6z7UeXxLxwr2gXnECpaVMXy5x/ADpvxg /2Dm4mIFZq9wrCv9Tazg5hrv5zrrz7ONtcUKzF7pWFf7e671VjvWn6wPhv7p fnDzd/sCu9c7frD4N8dNfGAieAnmbnCcj6fAW/ySO7h73CHu/UbHsMh6+KYG +MsxgcubHD84+7fnM9P+0ANDC8Zg8HozY/DJ4ocZg88T1RMdITpFdLhx+QLR MSmw8T+ifxvjkzG3ivW39PdRKd7z4Dc1QGXXB0fbBtiKDvi99T/wexvXBpWM 94uMy+BnnRTvRfI2GLeLsRLM5A3O+7f8TRudHVPFG3tn42ztFG94cOzMFN9g 21kpfOxtnZ2M0eR5+sjZSy0L5pyWAhfBxNNT4BOyZ4sfl+L9OsOcXF7yelLb zE7x3iL3LBGfm6Lm/zLFe46cfE6K3zbK9/Yg39UzUtxn+k5KURdyzr5J8Y4h xyTvEXtyYoo6mHOYvdclz7OO13Mfx0z8I8QvTLFX7OGRKWqwU1PUSU28rsd6 nbb32WjsNauRKta7ZqrYq1rerw/FW3ndD/dZ29zrWtv7wv78N0X98pH4HY6V s1Dd5+Egr88kn6sLfbbqis5PsTZ1zVkf5n2K536o14U1Yd6ne+4npFhf1pa9 PdNxsd7neC9Y15O9tsRez/FX9RliXVmr+l4vavvGKep79uEE22+Uol5kjhB1 I/Ud827kfmrci7z+iy3P+l+cor+Rx/nmrvF+oD6ua36pZdDlLuGDOpiYkGX8 EsfW2LFSK3+R4vcJagpquCbWg19umStT1HnUf9TE1ILUgfQxVv797doUdXZ5 DHtNU8hfar2mttPAOtTk5BLeAlvZxjU+Y4xRi+OzWYr2Ze5rZpus+3U+L+Th Nj4DnM1bUpxNzuNtKfIF57RFinPKGjf3OnPGb0pxrmv73O7us8iZJB/dZfu8 0TibN6S4H/Tdab/LjAectzaOCfnNPceSeVvPlzVu4jXsKP5ACvxgvL1l7k3x 3qN/pHg7n8N7PIb9+91GBn6f+7EJJm0wJqFDjPR1tPwKfzPeyf3It3Oc+ALn wLAV5p0tA+cbLHzY/b+7/yHLgHNdbOORFG3wDxwE6zZ6/BHrwh91u2sKOWQe s0xZt6vbq/yNnyfdv9G6T1imXdbdKsWd7JYCa8Fy8vZ32FX76xT5+s1icL7J 3VPdTw4nb3+VIndTD5KLycPfuj28GDmeemuSczVj5GvqaPTJ+ePtlzcA9fm8 FDU68gttB9n5old9T5F5phi16EL759wv8hlu4DY5E77Y/Q3dZhxdcAgM4vcc YqWmPdDt8u8+xE8tRl4gRt4WL4l3T1GLvJKiFqH+AL+pOag3+om/nqL+YJ2f 9l5Qu1A/UTs9l6KNnWcsx168nMLHJtvBJvXBFK/DZPf1s/2+ot5uE8+r1uXd x+/O4DVrPMPrTHzUTNRLPa1Trp+YS7mm6u1+eC/b72H5Te7vYxnm8Zzj562x wOflK+81e7dCZ+/7HDmI+/er88Tm6vsrB8acIf5HjpprrejhHHl+oc8Ee439 aT6fS7yX7N0Cj9F/mvT+zMZA8d9z4NiJ4r/mwMOse1A3x/0+hLhy5Le54nNy /D9GUTLn5Mh5W6h9Xo4cs7Xa5+fIE2eK/50D248X/zkH7lURL5QCgw9wbNyR lZ7HZM9rus85uLvU+zXP94Fzvp/b3BeI+8H7kr6PLbO/zwd3E+KMvO37MisF tqHHN2d5vvdlssfGu3+29+5Ny0zx3s2z7kSfIc4SNd4s9z/jHDIzRW3FnD73 vGZantzC/DkXI3z3J7gfP5/YF/5n+/x859iQecFn7C/fned93l70faH/Aq35 tqXIuQ3V3r4UOfRCtXcqRR6sr/ZWpcCYk9XulqOmIS+2z5Ebz1S7ZY7a5Ebx 6voernY9tUulwKRz1a5SCow5W+3KpcC/i9XetRR3vpfaq1PUlNerfZT631P7 SrUPKMX9OUP85hxvCPZ/mc/A5erbtxT3uZL4FjnqL87vCT7Dl4rvUYq16KL2 LbYzQPy1HHXScPEhOTD2PfGBOWof/i+xbY6acqT4BznqGM7mSt+pj9U3Pked wX063XeK836Wz/yB4jNz1BCfik/OUb9w5071vVtum5z5xurbuxQ5lL5V9sU7 /Xu3x0lmVI466SzJtspRt74j/kaOOo68jF3evqtsi+8VtrncfIVtznF7tnMj 68zvYnPtl/Gmsn1wKXL3tcxP7YFqN2Mear+Z4v2AHr+xkS/GuI8zMSpFrbLM e4kc7zze+duJ3k2x/+X3Ie9S3qRvpLBNnqfNm5D3KueSWofa4y2P0U/dzTuh jm0Ps/3+KXABO2t9N9YYs2iTt/GHffBqmePnvBH7+45/K9vd0n3D3Acfbl+8 FXjbUCd+o/X5NkftOMTz5Dfwd1LMkfmepPUr5Xhb1BavlQNva4ofmyNH9hTf L8c77McceZk1/lU0NUc9TH49zjl2tfhBOWrUWrL/d4p3THX1HZMjLw7wurEm tSVTKcfb5WjxI3PkV+Ic6LUd5O/Kjv0d9w/2vCqbD/Yc+W1jsPdztPed9zLr 9IHXijO2xOfwCPAtR96dLf5Vjv9v/xF/Od4mRyvO5jnWclMOLAFH0LvDuqzf XV5D7uhE39OnxE/K8RYkZzzrvPGSePccb8VHcqwp63l7jjvG/WqRI/eR98gl 5CbyyaE51o51qyZ+Q45zcav4oznew3Vy7DH7+7zaz+X4fYW9vdP7y5608b6w 9q29/uSeD51/9uSu5cj5e3EHc+DLEbJ9XY792ZfcnKNOGw3mpnhPVZVMkxw1 1D7iNXJgELlkjPPJYZK5Jsd9GiH+U4p3B3lxsHNjR/EOOd6194ivz/F+3lm6 F+Wor/cm1+bArH456hVqlT0lc1kOvCIHv+48XFW8Wg5s3U8yV+Sovwbl2Hv2 fTf1X5KjHtxB7UY56v1O4g/k+A2GnN3Zefte8Q053vxgSO8c+7WOeeV4s23M UWNRX/UR75vjt4Nncuij+1uOeTLHX3K8E8DBheILcvxdBnn9kxy5HTwZlgNT 3hT/IcW7O+dYd9b8CfGuOX4fmic+P8dbdIb45zn+tmVNjjPHeSvmWFPWs3KO vWffU461Y902y3E+OBuzxL/M8f48gPXO8Tcua4knx9uVc/FRjrOxTHxpjr9J Id7+OWLeTuvcIMe7bYL4Lyne1Aeq/6oc9fVn4tNzvLEPzpFryDP758hZ5Kuh 4utS/FYARr2VA6fWiybleLNPyfFNm3P3fo6zh8+xOfyuEl+Z429tsPduDpuH yOfVOXJ8D/E9cvxOyRuOtwPvi8XqW5Ljbf8/Ossd1g== "]], Polygon[CompressedData[" 1:eJwtlncUV2Mcxn/Vfb/Xau+loaWlSElDE9HQ0pIoKYWmzGNUKkWFFEoop7KS Ii0jhzoikpW993YklfB5ztMfz/k9z3vv773vfe/3eb5vreHj+lxetFAobAQZ eDwKhdVgUCoU+jOwGb4JDIAPY+xJ+JrwtSHoC+DH5YXCMvhD4B30W6Ac/BIw DV4fVIN3AaPhJ3D/WvhT4GJ0Y/Rq+BpwM/p4UAPeFbSEd+X6B/ANPLMReh7o hq4JZsLb6Bnw08Ez8A1gaPKal8DvA73RZcBa+Lrw2s/l+kV6HvM/gn4M/ID+ l9/KYCJYj346fK/mvB++FPSF99N/4I+Cfpn37C74ItAT3lR7AD+R+ddrbWAK uh16B/w4MBBdEX0HfAEYjK6CXgi/G5yDPho9FT4dnIUuip4Cv0pAn4beBa8L xofXqLW1BovhC0AHzQV6wo/g/uvhN2oP9K3Qc+HzQR90CfQM+CxwJbo9eie8 jt4ZXRo9G34r6IC+Nzz32WACvDXXt8Krg2/RP4b3shL4GP45uBxeAdwEvwf0 gncGe+AfgUvh5ZNr6T0wJrmmdsLfBKPgZcEX8G/AeHhFcAW8Lc/fDq+tPdSz 9A3gPTQGf1A1CC8NTube5apn+CawEr5C35fvOQD9Mvwl+QE9Qu8IT/znGvi1 4AX082Ag1y9EH4B3Ag3hjcFW+Ivha5rjELwLaITuCLbBt4fnHsz1LfBnw17T nDvgr4SvjWSsKvzn5PdRTRdYyxmMNYF3AlXgzXN7KwPD0fXQK+CrwPnomuil 8AfAMvk3vBfNwHnw6ly/F75Eng57SN7RHuXw+eCsZM+1hp8arr1trHEhvCPo nuwBfds64b3XN/5b9SrPJdfkKvjD4b2Wh/bKH6AB+rTkd73z8P/1zkXgt4Ez kzPiM/g//LZKrqn/VJeMnZGcObq3Fe+zJfk/8uIYZUSyJ3VvS8Y2J//nDvQN +gbJ76BaLqAnZK7pHH0j+jn4dcnP/hI97vAa5I2+6DnJHimDLonen3msBXos emPyGtqgi6Jnc/2l5GzI5OHMGaHsaxX2njKwGboyuhh8XXKWjgpzZWpVdBnt Cf9fpBrLnZnKyt3gq7Bn5BWtWdkR4WxVhsjrSZmW2fNd0C3CWbVHHkU3D3vr XdUcuim6FvztZO8VU+Zk9uBB8An6Mn5b6n2Ur+FalQe+D2eEsmGCvhG8SO7s VE0Xgx/N2F7muzI5u3roGyVn2G7436pbro/m90iuH8PYX5nvkVe7h7+VPKvs rhu+Vxl+ALyPHqss0B6HM0jZozHVxi/oSck1UhJdQs9k/pnJXhmCXpzsGWV1 L/S05Mz+NJx5yjrtwa/wn0CV5Dk7ww+Gs0CZcQh8F96LU5Jr93f05OQaVjb3 Dj9bGV1PeRDOes3ZHr4v7B157BjuL66xzGtS7+gW3kv1kD/gv4WzWs9oC/8T tE/24EnhGtC3V02oNw0K15Z6lHrXAPSdyT1sUriHq3e3TfZS5M5Keerd8J5r r5Xp8tJJuXujPDULfUs4i5TB14V7vHq71jRHXgFDMueBvnWWuxfqm8sbTXOf JeSRD8M1qNpTT9mvOg2fTVqAXeExcfUU1dLUcC9STTUJ17hqWzXdMOwpeUme bRb2hLwgzyorpofPOsoMeb9U7l6qDJghr4Szsh1jc+ETw3ulM42ybp/2PTnz vg7XhGpBPU5euD3ca+UJZfHV4bmUyaXgZXP35gOZa7V47rODarYSulHus05R eSz3mPgTyWexkWGuM5nW8jr64sNr0llphPIh+cyk3nIhemVyj2mIrigPJ9+j XjNUeZbcc45Fl9U7ZfaMzh790fOSzyDlc7+D1q6xWuhyyozMc1RCl9Y3zVxz 9dEV0IXkNdRBl0f/x/XlyVlYOffZSpmo/1bIfdbRHPLGUbnPQvKI1lYt99lL a9TZdlh4Lp1xtZYauXuj1qRn18199tUa3gifUXQ20Z69Cn8t3LtVs1pb7dy9 V2vUXjXI3Zu1Z5PDPUG9QJn6PyVPU/8= "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl0kk3l1EcwPFHKf6E08LCooVFixYWFk7neAmWXoIXUG+kReeYQqJUZC6Z h1CmUoZGiTILkVnGPv9j8Tnf372L57nnnpucdTvzVkQQBHdJJzxfIkQcV0kk iWskc50bpJBKGne4yQfeE+1DIaIYtI7RIW0m3nxPh2liIPwve3laQB8J1v36 kovmRo3UfH0XPqP5MhdoCM4P/iIcfaNnPOeEek55zTF1HFLLEb38o4Z9qjmg hz2q2KGSXbrZ5hmbVLDFK/5SzjpP2aCLPzxhlces0ckKZSzziN90sMRDFihl kXbmKWGWB8zRxgzF/OQ+v2jlLUW0UMgV9xNLrnmKab7zg0ly+Mo3PvGFz2Qz zkdGGGOUCTKC87fzHyhWW1w= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{273, 272, 276, 530, 521, 522, 520, 524, 523, 412, 526, 527, 525, 529, 528, 413, 532, 533, 531, 535, 534, 414, 501, 595, 490, 519, 438, 517, 437, 518, 411, 275, 274, 273}], Line[CompressedData[" 1:eJwl0udXznEcx+HfHX+ErGQVsrJVyl5ZnZZ98Jw/SbJlc45ddpGRvTMTxwyH InF9Tg9e5/p8f/ez+7wz128q2ZhKkqRW+Y4crdMRLUlLkrdcxBYu5mEW8w0X 8DUX8hDn8xXn8iXn8SDn8AVn8Tln8wBnspnT+YwzuJ9FfMppfMJC7mMBHzOP j5jPvZzKh5zMB5zCGk7ifU7gPU7kHo7nXebyDsdxN8fyNkfzFsdwF0exKf4b 3uRI7uQI3uAwXudw7mA2r3EoG5nF7RzIBg5gPTO5jR06pzTvHvrjblNf9xn2 5mn24Wf+0il90kmt8X21qtzpPM5ePMYylqtUH7yParNWeX/kCf3UFq31rZY/ tML9lRX8wkouV517Jc+yXT3dXbygv7qof6pWf79dYj9eZga3slMpd6Lz7t/6 psHeVziIVzmE37mMrVzKdyzhe26ITcROYiOxm9hS7Ci2FXuLrcX+YpOxx9ho 7DY2GztOdW/+P0MzZMQ= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[{823, 608, 1078, 957, 958, 952, 953, 851, 825, 946, 835, 1008, 1009, 1007, 1011, 1010, 837, 1014, 1015, 1013, 1017, 1016, 838, 1019, 1020, 1018, 1022, 1021, 839, 1024, 1025, 1023, 1027, 1026, 840, 1029, 1030, 1028, 1032, 1031, 841, 1034, 1035, 1033, 1037, 1036, 842, 621, 614, 613, 612, 611, 610, 609, 823}], Line[CompressedData[" 1:eJwl00VvlFEUgOGPlDXuXtyd4O7BG9wpbi3ursXd3d2CJUCCu7s7xcuKH8Bz w+LJe8+ZzeRkJjY+MS4hVRRFyXSNiaLLLOIW3bhJd26zmLSpo6inptFemk6X aRbtrZm1j2bV5Zpd+2o27ac5dKXm1YGaRwdpPl2l+XWwxuoQLaBrtZAmaEFN 1MK6XovqSC2io7SYbtQSOk6L63gtqZu1tE7WUjpFy+hWLacztKzO1PK6XSvq XK2gSXqOSt4L9DgnOMkxqtnv0Kq6U/fTiXnMZw7bqOfzOO3ILBqbZ+t0tlDX 3EY7MJVG5mk6iU3UMbfW9kygoXmijmUDtc2ttB2jaWAeoyNYRy1zS23LMOqb h+tRjrCapnZrdB9DqWluoYep4p2L3ORkgN0Kang3173soT/V7ZrpISp7ZyQT 6Ym3y6BLtIku1bOcoQd/w3dnN7s4TWdOsZCDHAj3JIU//OQ3v8Id+c4PkvnG 13A/PvOFD3ziY7gb73jPa97yJtyLl7ziGS94Hm7CE57ykMc8CnfgPg+4wz3u hltwnRtc4RpXw++Gi1ziPF24EPP///gPV39zkg== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1He4lmMcwPGnnAqN065TNLU3aQilIR1aJ+3FUdJ1aSkpyRUq7bjyR4rQ pI3SokHJaGgXKTS1rFQIfX5Xf3zO971/73nf8zzPfV+ndOaAjP5ZkiTp6MeD KUmSTo1sSXKOd7InSRnepiyzeZL7cyRJPx3POC743fm6gHm8x7v8Yr5IF7OQ pSzhV/Pl+j7L+JAP+M18pX7EClazit/N1+o61vAJH/OH+QbdyHo+ZRMXzTfr Fj5jK5/zp/mX+hVfsI2vuWQ+QSfSn+ncxuu8wItc8Tu7tRyzeIuBNPcsBuh5 ynMu7jueCXW8N0n/99l6Xlfw+iVGk1DfbJBWjGcS9xnPgLrmkzULd3ldSccw mAesn9IpTKUK95lV1lvISgPrIVqV6jS2rqa3cgN3Wz+tNahFE+uaWoIU7rEe qrdTm6bWd2hJsnGv9TN6Z1wrzazraCmy09B6mNaL64/7pDRjeZYW3h+ur5CD RtYN9GWeI916ROxjXGvsc1xT7B8juRzXEPsWfyv2hud5jZnMiO/kVXLGPfu+ FvFsND3uUXPpTdpSb9RWerPm1lzaOj6rbTS35tFUbat5NEPzaqrm13aaTx/W AppXC2l7LagdtLDm06LaUYtoJ03T/FpcO2sx7RL7qQViX7Rr7J92i33QgvFM tXs8d+2hZbRQnF3tqWX1kTizWlgr6KNxTjUzzp0W0cr6mFbSXnGmtKhW095x jvTxOEuapjW1T5wffSLOkBaL5+qcX/T/4zh72cIqFjKLaYxnFMMYSF8ySfPZ /zjje85yip85zb/mJ/QkP3GcY1w1/0F/5HuOcoR/zL/TwxzkWw7xt/l+PcAe 9rGXv8y/0V1sZyc74pyZT9PzWlzf5A3mMifOv/te671aZLiHtrShNa1oyUMp 1/+vXgN2WqWd "]], Line[{1324, 1285, 1289, 1293, 1294, 1295, 1296, 1465, 1643, 1844, 1642, 1842, 1641, 1843, 1664, 1799, 1612, 1797, 1611, 1798, 1663, 1682, 1601, 1686, 1687, 1685, 1546, 1793, 1608, 1791, 1607, 1792, 1545, 1790, 1605, 1788, 1604, 1789, 1544, 1787, 1603, 1785, 1602, 1786, 1606, 1324}]}}}], { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[{$CellContext`y, (-8) Sin[$CellContext`x]}, {$CellContext`x, -10, 10}, {$CellContext`y, -10, 10}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`ShowEquilibria -> True, VisualDSolve`VisualDSolve`NullclineShading -> True, VisualDSolve`VisualDSolve`NullclineRegionColors -> { RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]}, VisualDSolve`VisualDSolve`NullclinePlotPoints -> 60, VisualDSolve`VisualDSolve`ShowEquilibria -> True] = Graphics[{ GraphicsComplex[CompressedData[" 1:eJyE3Xn811P6//EkKS1atdenQowtNCSpDBnJWBOyTGhItkT2JU2SZey7pl/f GBmEUNKkKERMQmiE7BKRJmmj38z7fe7X63M7n+/3xj/v26PrXNfnep/n6/U6 51znvN7an3zOEX+qXq1atS67Vav238/GZ6y445MHOjzfYOH6ZV9MfqnnGTfc feoRP7UPnjOp155z+hTc6o2lm3cZWxH85cftJ/f5sF3wnR2HHbHDyLbBB5w6 +991O7UJXv1Qozu+e61V8IPfnLzHgqEtgwff+kifGvU2D57b7OAb5vavEbzt X7+df934TYK36N2y49iFP8/Crxx63EMdBq8JHj1g7E5/X78yeMy86X/6Y9tv gmt83H3omb0/Dq72bukzeFndOpvvO6d2L3z9NUNevPziusE7Vp931fRdtgw+ debt/2/9ygbBUy/d/5cWhzQKrrnXquO7/r1xcP/V9/+jf42mwQ8+dWTL4X/c Knj10E0vvm16s+ADdn7qvclNWwQ/1efAl4Ye0TH4lO3Gr9q4sWD6jllS+p6h L6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yv pm/0R9I3+ivpG/2Z9MX0xfTF9K1b/t6hL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yv pi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpm/0R9I3+ivpG/2Z9MX0xfTF9D2w 3A+hL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+m L6Yvpm/0R9I3+ivpG/2Z9MX0xfTF9L2u3C+hL6Yvpi+mL6Yvpi+mL6Yvpi+m L6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpm/0R9I3+ivpG/2Z9MX0xfTF 9H19/1I/hb6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Y vpi+mL6Yvpi+0R9J3+ivpG/0Z9IX0xfTF9N383K/9aIvpi+mL6Yvpi+mL6Yv pi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mb/RH0jf6K+kb/Zn0 xfTF9MX0fajcj6Evpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+m L6Yvpi+mL6Yvpi+mb/RH0jf6K+kb/Zn0xfTF9MX07VPu19AX0xfTF9MX0xfT F9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTN/oj6Rv9lfSN /kz6Yvpi+mL6+h70xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfSNdWzSF9MX 0xfnn/TF9MX0xfTF9MX0jf5I+kZ/JX2jP5O+mL6Yvpi+8qYvpi+mL6Yvpi+m L6Yvpi+mL6Yvpi+mL6Yvpm/UJZK+mL6YvrmOOP+kL6Yvpi+mL6Zv9EfSN/or 6Rv9mfTF9MX0xfSVJ30xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfaPOlPTF 9MX0ze/LXEecf9IX0xfTF9M3+iPpG/2V9I3+TPpi+mL6YvrKi76Yvpi+mL6Y vpi+mL6Yvpi+mL6Yvpi+mL6YvlE3TPpi+mL65s/Z/L7MdcT5J30xfTF9oz+S vtFfSd/oz6Qvpi+mL6avPOiL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Rt1 4KQvpi+mbz5u5s/Z/L7MdcT5J30xfaM/kr7RX0nf6M+kL6Yvpi+mr79LX0xf TF9MX0xfTF9MX0xfTF9MX0xfTF9MX0zfqOsnfTF9MX3zeVA+bubP2fy+zHXE +Sd9oz+SvtFfSd/oz6Qvpi+mL6avv0NfTF9MX0xfTF9MX0xfTF9MX0xfTF9M X0xfTN/Yp0n6Yvpi+ubz2nwelI+b+XM2vy9zHXH+Sd/or6Rv9GfSF9MX0xfT V1z6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6YvrGvlvSF9MX0zdfp+Tz2nwe lI+b+XM2vy9zHaM/sk/6Rn8mfTF9MX0xfcWhL6Yvpi+mL6Yvpi+mb+Sd9MX0 xfTF9MX0xfTF9I191KQvpi+mb77uzNcp+bw2nwfl42b+nM3vy1zH6K/sk76Y vpi+mL786Ivpi+mL6Yvpi+kbeSV94zpM+mL6Yvpi+mL6Yvpi+sa+eNIX0xfT N68j5OvOfJ2Sz2vzeVA+bubP2fy+zHWM/sw+6Yvpi+l7Z7mfQ19MX0xfTF9M X0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MXxx1ucRRx0kc6/7EsU5MHOuKxDEP TRzzFv1hnNNfnov6032UmL6Yvpi+X5b7PfTF9MX0xfTF9MX0xfTF9MX0xfTF 9MX0xfTF9MX0xfTF9MVRh00cdbvEUedJHHWBxLGOTBzrjsQxT9Uf5jX6yzio Pz03E9MX0xfTd4+yDqEvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yv pi+mL6Yvpi+mL6Yvpi+mb/RH0jf6K+kb/Zn0xfTF9MX0HV3WJfTF9MX0xfTF 9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MWxT5E46tqJow6aOOpmiaPOkjjW 5YljHac/zPv1l3mi/jSvSExfTF9M33fLOoW+mL6Yvpi+mL6Yvpi+mL6Yvpi+ mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6YvtEfSd/or6Rv9GfSF9MX0xfT t3FZt9AX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfHPlvi2JdJ HHX8xFH3TRx1wsRRV0ocdQj9Yd2qv6xz9Kd5cWL6Yvpi+v6jrGPoi+mL6Yvp i+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Rv9kfSN /kr6Rn8mfTF9MX0xfU8p6xr6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi +mL6Yvri2DdPHPusiWNfLnHs4ySOun/iqBMnjrqi/lCH0l/qFvrTOjcxfTF9 MX3rlD9DX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xf TF9MX0xfTN/oj6Rv9FfSN/oz6Yvpi+mL6asdfTF9MX1j3ZX0jXV20jfqKknf qKMlfaNumvTF9MX0xfTF9MX0jXll0jfe40j6Yvpi+ubnXvJzEvm+er4Pm+/b 5fs8+b5AXkfO6455nQrnn/SNcdnzOf17PJ8Tx/M5cTyfraM9n9VNPJ/VyTyf 1UU9n9XBPZ8Tx/M5cTyfE8fzOXE8nxPH89k6wfPZezmez4nj+Zw4ns/ZOab8 3Et+TiLfV8/3YfN9u3yfJ98XyOvIed0x1zGey9nnL6X8Wzx/Q+l9s3d6Tiv1 T63gaqX/Ns7Afyz1V4demP+8En8R/pg/5o/5Tyy9D7Ui/DF/zB/z/7oU78fw x/wxf8x/h5Lu68Mf88f8Mf+ppXyq9eKP+WP+mP8xpX+vHv6YP+aP+a8pfZ/N wh/zx/wx/3vLfuGP+WP+mH+3Un/UCX/MH/PH/D8oncevF/6YP+aP+c8s9WeD 8Mf8MX/Mv37pudEw/DF/zB/zP7H0743CH/PH/DH/x0rPsSbhj/lj/pj/LyU9 m4Y/5o/5Y/6HlJ6rzcIf88f8Mf9xJb/m4Y/5Y/6Y/3flz/DH/DF/zL9H6Xpq Ff6YP+aP+d9Yem63Dn/MH/PH/D8qXY9twh/zx/wx/51L40S78Mf8MX/Mf1bp eq4If8wf88f8TyuNS4U/5o/5Y/5blu6H9uGP+WP+mP8zpXGwQ/hj/pg/5u/f +WP+OP/kX6c07nYMf8wf88P8jaf8Y76Q/DH/fPz1vjf/eJ89+WP+mL/3ifnH +9LJH/PH/L2vyj/ex03+mD/m731I/vG+Z/LH/DF/79vxj/cJkz/mj/l7n4t/ vK+W/DF/zN/7Qvzjfajkj/lj/t5H4R/v2yR/zB/z974D/3ifI/lj/pi/eSj/ eF8g+WP+mL95K/84j578MX/M3zyXf5x3Tv6YP+ZvXsw/ztMmf8wfx/wrzaNj /uW8ZvLHMf9KzN+8m3+cB0z+mD/mb57OP86bJX/MH/M3r+cf55mSP+aP+VsH 8I/zMskf88f8rRv4x3mM5I/5Y/72w/nHfn/yx/wxf/ut/GM/Oflj/pi//Tz+ sV+Z/DF/zN9+Ef/YD0v+mD/mbz+Cf+y3JH/MH/NX7+Yf9fzkj/lj/uqp/KNe nPwxfxzjV6rXxfilHpn8cYxfiWP8TPWgGD/Vu5I/jvEzMX/rVP5RT0n+mD9+ 7uSXT+q9oMPzzd/+73g4pWeDc/97XW8eXPuIYWvrdurYCx+xYeq4Wi1bhn1N aT0/ZRaeVZ5XxPoXG2+blectYcfs55TnRWHH8Xs45XlX2DF7j/K8LuyY/bvy vDHsmH1ceV4adsx+SHneG3bM3vyd0row7Jj9gvK6M+yY/d3yujbsmP308rp5 Fjtm71T6ez+GHbN/UV73hx3H7+uU2n8Rdsw+qsTvhB2zW5eyY3brTnbMbl3J jtmtG9kxu3UhO2a37mPHMR9M67qozyQO/dO6LfRPHNdPWpfF9ZOY3byXHee/ V8Tu/pz/6n/7cXHPh9v88ZyLz2wRbB6S32/qQ+Jh8c4o5bU04mF6aS8+Fl/9 SHws/pqx/9Xlh4iPxddefCy++pL4WPxupX7/KeJj8bUXH4uv/iQ+Fv+y0n2/ IeJj8bUXH4uvPhXv/yQW/8TSc61aL/Gx+NrH+zGJxVe/Eh+LX610XW0a8bH4 2ouPxVffEh+LP740f6oZ8bH42ouPxVf/Eh+L/7vS/Kh2xMfiay8+Fl878bH4 n5bmP3UiPtbOp/hYfM8t8bH4o0rzm/oRH4ujvfhYfM898bH4jUrzlwYRH4uv vfhYfM9N8bH4J5fmJw0jPhZfe/Gx+J674mPxnyzNPxpHfCy+9uJj8T23xcfi V998TcebJjWJ+Fh87cXH4nvui4/FP+LFiSMn1doq4uOoy6b2sU5MLL5xQ3ws /oSrjv7ktVOaRXwsvvbiY/GNO+Jj8Vf22LzXspnNIz4WX3vxsfjqh+LjuH/L 88Ti/k0svvbiY/HVF8XH4t/67Kk/bzu8VcTH4msvPhZf/VF8HM+HC7Y6vveC 1sXzIbH42ouPxVefFB+Lv1uXl6efskPbiI/F1158LL76pfhY/JE/DG8xcnS7 iI/F1158LL76pvhY/NPfa9R9wdCKiI/jOZnai4/FV/8UH4vfcOqQM/7Ytn3E x+JrLz4WX31UfCz+s7fPvve714r4WHztxcfiq5+Kj8U/6byW8y6/uEPEx+Jr Lz4WP9apKT4W37pMfJzvE+V1K/HNO+N8SWLxn+k8b7uxC4v4WHzt4/xF4tPL 3zPWh+IdVNJ/Qc8Xyv0c9hZlXYPPLV9HwbeWr9vg35Xvk+CV5fsyeEL5ORAs f3//+fI8JewDy/OKsGPz67bleVO0v6I8TwueXp4Xxvr3ovI8NHiP0nXzQ/BX 5Xl28Mul/lwcfGuprrNFrLe7lOos9YIXluoeWwZPL9UhGgZvUdKzUfCAUp28 cfDDXxx6ZNvjmgavm7BxcvepWwUfNPDxBsc1bB6sThX71/u2vWXh5UU9wHWR 67196Xr7NPof69+crT+MM9Yb/n6+fplUeh4uj/hYvJytP8S33hA/X7/cXZoP rIr4WLycrT/Et94QP1+/vF+6b9ZGfCxeztYf4ltviJ+vX1qXnucbIz4WL2fr D/GtN+I9sGz98kTpOVI9ng9YvJytP8S33hA/X78cVqrvbhbxsXg5W3+Ib70h fr5+WVmq325ezH8Si5ez9Yf41hvi5+sX93HMTxKLl7P1h/ies+Ln6xfPBfGx eDlbf4hvvSF+vn7xnBEfi5ez9Yf41hvi5+sXzy3xsXg5W3+Ib70hfr5+8RwU H4uXs/WH+NYb4ufrF89V8bF4OVt/iG+9IX6+fvGcFh+Ll7P1R5wLSOuN2GfI 1i+e++Jj8XK2/hDfekP8fP1iHInxN3GMtxlbf4jvU/x8/XJvOW7Ex+LlbP0h jvWG+Pn6Zdn79effNbdYv2Dxcrb+EN96Q/x8/dLt7pk7Tu1QrC9wjCcZW3+I b70hfr5+ue6os69feHmbiI/Fy9n6Q3zrDfHz9cv7jdouW7moWL/gGL8ytv4Q 33pD/Hz90nTpqQ/UalmsL7B4OVt/xDo1rTfEz9cvz7088+275hbxsXg5W3+I b70hfr5++dPfttq00/BifYHFy9n6Q3zrDfHz9Uu9UWfvNrVDsb7A4uVs/SG+ 9Yb4+fplSvkz4mPxcrb+yM8p5fue4ptHio/Fy9k8U3zrjThvnVj7eA8mrW/M T5uW+yXYeVx8VlmXYOdz8Uvl6yLYeV3cpnxdBju/i5eV74tg53nxveX7Mtj5 3pifl58Lwc77xny+/FwKdv4XO/+Lh5bnUcHOA+P55XlcsPPB+LjyPDLWL84L 4+b1SvPYYOeH8bvleXSw88R4+1K85cHOF+O/ldcRwc4bx3qxxAuCnT8OPdL6 FZuHYec0sHkUdg4Dmwdh5yyweQx2jgKbh2DnJLB5BHYOIvZn0zwg9E/nHGJ9 nMbxuH7SOYZYT6dxOF//YfvG+frZeSjsfBN2XinGn3T+CDtPhJ0Pws77YOd3 YjxOOmK6YTphumA6YP2O9TPWr1g/Yv2GndfAzl9g5ymw8xHYeQfs/AJ2HiGe f+l8AXZeANPR8zfXP6+H5M9L9QDPU+09L9k9T9k9L9k9T9k9L9k9T9k9L9k9 T9k9L9k9T9k9L9k9T9k9L9k9T9k9H9k9P9k9H9k9P9k9H9k9P9k9H+P8QHp+ sns+xvmA9Pxk93xk9/xk93xk9/xk93xk9/xkd1+xe16yu8/ifEB6XrK779g9 L9ndh+yel+zuS3bPS3b3KbvnZeib7lt2z8u4PtJ9zO55yW5ewW5ewq6+6nmo HqreZR3Prg7Azt/zk796Fn92/uz8PW/5q1fxZ+fPzt/zmb96FH92/uz8Pc/5 qzfxZ+fPzt/zn796En92/uz8jRf81Yv4s/Nn52984a8exJ+dPzt/4xF/7fJ9 Zf/uk7/7jL96Dn92fuz83Yf81Wv4s/Nn5+8+5a8ew5+dP3ucf0j3MX/1ljjf kOz82fm7z/mrp/Bn58/O33OAv3oJf/ao0yU7f88J/uoh/Nn5s/P3HOGv3sGf nT87f/MH/uoZeV2QPzt/8w3+6hX82fmz8zc/4a8ewZ89rutk528+w1+9gT87 f3b+5j/x/En1BP7s8fxJdv7mS/zVC/iz82fnb37FXz0gzpUkO392/uZj/K33 +bPzZ+dv/sbfep4/O3/22N9L8z3+1uuxf5fs/Nn5mx/ytx7nz86f/aJLpv3+ wn8V5z3XHbD83vXti/czajVd9d86ZE/86a5vH9ywQ/H/F+RvfOSP+WP+mL/x kT/mj/lj/sZH/pg/5o/5Gx/5Y/6YP+ZvfOSP+WP+mL/xkT/mj/lj/sZH/pg/ 5o/5Gx/5Y/6YP+ZvfOSP+WP+mL/xkT/mj/lj/sZH/pg/5o/5Gx/5Y/6YP+Zv fOSP+WP+mL/xkT/mj/lj/sZH/pg/5o/5Gx/5Y/6YP+ZvfOSP+WP+mL/xkT/m j/lj/sZH/pg/5o/5Gx/5Y/6YP+ZvfOSP+WP+mL/xkT/mj/lj/sZH/pg/5o/5 Gx/5Y/6YP+ZvfOSP+WP+mL/xkT/mj/lj/sZH/pg/5o/5Gx/5Y/6YP4780zoz 8k8c+SeO/BNfdvi6F1b8p/2x5zSbUOs3L/b8suRfu9cNX/U4ou3ez/Rkf/qG zbsve3lJ2L+58forJ41YHPaPnriq8eAZy8K+bvJ+U/rcszTsT/7zylGT5q0M e6/5A49q++wPYV81u8fGbfdcE/aRc9otuGubn8K+x7SfLx5//89hf3HaRwc1 vHVD2Gf0P3Fd3TGb9GKv/t78k3tvrBbf7/g3n3umT48aYX/g8J0rRk7ZNOy/ 9G0zfPSqmmHf//W/fDjzjJphH/fyZbvNebh22H2y99r3g+83Dqwb/z76hYOP 6bqoTtg//sfek7o32zLs23V/tOnwG+sX/vf9YcqMLxuEfdDiq78+ZkKDsN98 zM+NF+/bKOxP3/3bAy/8uWERv+mkYWvHNg57jf5fPHjHMY3D3vnt499stqZJ 2Ps1vmOzp59qEvYRN9ftvMeRWxX9s2D/QW/V3yrsC/4w48Z+jzUL+6q/rJq9 4vRmYa+oc+byYbVbFP3X94H2W77UPOxDX2l18C2DWob99lr9RuxU0TLsz1/9 2sOPz2oV9s9f2nRJ30tbhb3BfpfWnt+yTdi7/PmpfYa82zrsA6vtMPjb4W3D PqrXKWPH7No27E889/7LW7zZLuwLf260/sEb2hXff5+Xbm1yZ0XYbz3hk0c/ Pa8i7Nu1bjP7/v3ah71b970+OLd9+6J/1p3/w24/FPZPW95SZ5M3CvtF/3q9 Yva4DmG/bu3Sbjdf1qHov2lbH3b4wR3DvtuiXkPa/aa4PxfcedmVH68t7B9P vfuex97r2OuK1c8Nafef+Xeto77973mVnnv+uOvTl/3neTBh58ef63/mmz3f bXbq3jePbx/2nfeqX3eTf1cEjx4w9YNzexc846cZA17apV3wmd3qbXhwYZvg 1pef8NcxF7cOfn3WpB5D2rYKvqz6L0v6zmkR/HS3fQd0HVwruMnzn4xdP3mz 4GG9Ry6Zub568FvzOnQY2bta8MDxo1+9ru36WbjtI3MPafjkj8EfTKm18K7e K4J/e9VtT3Z/8ovgk3fa4ZLbnnwnuNZRdb75z2clLn8+dtnrx3X97/tfSxY+ 1ec/6xX//vGxXc4dvbBecK9lfe46qXeD4Jsnrv3xyvENi/aD/t5v3PpGwZ07 HPvUjP5NgkcsqdVo8eSmwQvGThu6tm6z4IoBg99oNrh58MEzL1mx2987Bu9S 1rcXffEFlxzYfPhP/+qZP/ddD+9edVS/tjd9Ft938XaDOt40+YvwZ8czO024 atLCr8J/wJlv92k4+Lvwf6L2uXX37b0i2rPjDrVv3ntB/x/C/+xHHmo3cvyq 8F/5yy7XTJ/8Y7Rnx4N+OWRqnzmrw/+J8afdu77uuvDvsuq7Tbq0XR/t2fGD /66365xdNoT/yju2bTr84o3hP31V/5n9e1frpT07Hnb+l0e1nV+tF/+xL638 /U/DqocOx58z9dLb1lcPf3bc5PvejY8btWn4d+91xGZdtt8s/Dd83XSvBZM3 i/bs+OnT/7bgrm41w/+j6ZNnD12yefiPGzR8dd3BtaI9O+7/eY0bF66oFf5X /LbhiEl3bBH+rnPt2fHqEwf1bTixTvhXPDF0n2V961W5L7Rnx3f/a06tQ06o H/4Dmw6+vPEmDarcR9qz49YPNzzlpWsbhP8TbzX7YNfjG1a570L/ZMdnnvbC C5993jD8q908t9thzzSqcp9qz45nbH1uRfVejcP/sD9ceM/ZjZpUua+1Z8d1 P624suK+JuE/fotOa244q2mV54D27Pj4/7fgwx6rm4b/irnv9n/kla2qPDe0 Z8ePHj+i+wmHNwv/XlePnvJqx+ZVnjPas+MNLTrfd+mjzcP/5t/t0WTpFS3C f2iz5jvvMadFtGfHB7+3ZO09m7cM/483fjGs5vstw//5hXNv6Ne2VbRnj/vp 9puOmXZyq/Dv/Nwdb27929bh3+DWC78ZdnHraM+Ovz285zPvPtc6/Edc0rvz fje3Cf+Bh3Y66JaFbaI9e9yPW37f9MfmbcN/wZ4/3njSN23D/4m67z30+C7t oj07vuH1cec3Pr9d+N90yVure3asCP9qf5qz6Wm9K6I9O/5+/4lf331aRfjv eexvtn1jQeH/0H6tdl+9smjPju/quLH5dk3bh/+SPUcedeIV7cP/sA7nnXz1 +PbRnh33rH70gc/MLvyv2er9Uct36BD+a6q9dkuTQzpEe3b81cePXXjA0A7h 79/5j1/S4YX71xft88+bZtWc+E6bjuH/r7ev/azONR2rjIvas+N9xp347qDX Cs7P94hjfxrbj8b2n7H9Zmx/GdtPxvaPsf1i7H1847XzNnGd7FZar1X5vRrt 7S9rbz8Z2z/G9ouL+V95fxjbD8b2fyOftN8bnH4vIK+zsUcdLXHUxRJHnStx 1K0SRx0qcdSV9Kc6kf5W96GHOk7iWFd7jpXXz1FPdu7M93H9qBfH8z3Vf7F6 LlafxeqtWP0Uq4di9U2sX7F+xfoV61esX7F+jflC6teYP6V+jflA6lesX7F6 FlafwupNWP0o5p+pHoTVd7B6TdzPqf6C1VMwnT0/pt2x25TuW03u+dYXp1f/ 6oGq66WLGrxUcdMfpvecUZ5XhX3Q5besb1Hpfmz7TtN7H1tfPMdWzZ9/zBmV rqftVp9zwkuV7u/9tv3r69c9UdwvZ5bXc73UW+yfuN78vgX2exZxv6ffr8B+ rwL7fQrs9yiw35/Afm8C+32JqNul35PAfj8C+70I7Pchom6afg8C+/0HbH8I e68Aew8AO7ePnbPHzsVj59jj+6dz59E/6Xxo1OnSuVCsvub8huvFegtv22Kn p/r0/iD2X7S3fl9a8+ybFg5/N/Zj2F0XQ3YsrVOD79n9bw81rbRfpb31/+Qa y/o2nPF+5Od9J/nk67fmFzZ54671SyM/7eW3ZnmXfT5s/GXkxy6fZ0eU1tXB bdp2HFer0n6Y9vL74Nth963fY2nk530p+eTrw/md+5zce9kPkZ/28utx5rEt Bl+wIvJjj/VQuQ4QfNioBa9eXmm/TXv5PXHGRQf+dM0PkZ/3reSTrz8bbFvr w5n9f4r8tI/60UnNb//k0x8jP/ZYbzxcqlsE33rxTfv/dFqxn6e9/FYO3HPO 0FWrIz/va8knX98e0Wru0V3nbIj8tJff7P7v1T/u0PWRH7t8OpTrLMELzz5k 1tBK+4XaR/2t/+p9lg3cEPl530s++fr5oFr7fb2oWbG/qL38qm/72v7LTqhW 7Fclu3yeLNeFgus+WbPN8Er7kdrLb/rfBnww+ctqUR/3vph88vX5tyMnPNh0 /qaRn/bye2D8b6p3arJp5Mcun37lOlbwozue+v7kSvud2svv+Irp93w3dtPI z/tm8snX/zf8vMmgI0bVjPy0l9/+ra6bdcq8zSI/9hinZpXqbsGHTHzpru/q Fvup2stvw70tjt7hyJqRn/fV5JPXF3a+6KT2N3Ur9l+1l9+Xd3x92fgRtSI/ 9phHl+uEwd+13+aoHSrt12ovv3FNL24yuHaxf2sckU9ev5i/8vmPXltRJ/LT Xn6jG/Tp9uEexTgU41LKZ48p45sNr8Q3jx3VaHCl/eA455Ly63HzojcfmFUn 8jOuySevjww9q2JsrYn1Iz/to/58/UM/tVher+o4mfJZtEu1dyZX4s7NPn/j gUr7zdpH/XiLrjd9Mrx+5GeclU9ef6m1atajEx4r9qe1l9/n1UcNeOTwBlXH 7ZRP93d26XNhJV76yv+8vKLSfrb28nt+dt9tt7yz2N827ssnr+8cM/mcOi/U Lva/tZdfl+d3f/bVRxtWnUekfG64dcnEOypx19GHb7Nlpf1y7eXXYMT6UTv9 0DDyMw+RT14/eujsdkOWDCr217WX36jLP2u2dPPGVec16tyH3lTz6Uo8Zr9N Ru1UaT9ee/kN3OeRz/oeXOzPmxfJJ69PrdnhjVd+ntUk8tNefgu73XZBzVOa VJ1nWdfV6/mntyrxomqTP+1bab9f+xh/1w343ZCJTSI/8zT55PWvA7++olPr VsX5AO3lt/Wa372z9cymVed99iXmfTdnRSXebubAfYdUOk+gvfyqTdvif8ZU L84XmDfKJ6+v3f3gzqO7XVCcP9BefudPWbn7fi2aVZ2H2ke5ZlyHLSvxRZc2 GD+m0nkF7eV32PDpGx88oTi/YB4rn7x+t/SUjz4/5s3mkZ/28ntx2IRbTzq/ edV5sX2f3odctVMlfqXr8788WOk8hPbyG7/bkBNfmtY88vO+pHzy+mDX9jfu d+GOxfkJ7eXXpPMRP1z5RnEegz3WVeV9p+Dm5XVY5Ke9/FZ83+K5zxoX5y+8 bxn1/qz+OOajfSbccU1xPkN7+Q1avslh435TnNdgl8+M8j5Z8OCn2s34rNJ5 Du1jf3zSq62qn1Oc7/C+ZsxXsvrmovuWV3v609aRn/axf//w5MdmXN068mOP +VR5Xy942tA3WlavdF5Ee/ndPOTiSyrmtY78vO8Z+x1Z/XS7Y//6x7f2Kc6X aC+/GoNPqrf44+K8Cnvst5T3IYNr7XzlxRWVzqNoH+Nbp+3/1WOb4nyK90Vj PpXVZy/a6g8zV9xdnF/RXn79tml45tq9i/Ms7DHfK++bBh/zzc6LelQ676K9 /Dp/sWjPE0YU51+8byqfvP772elX3Lj5JcX5GO3ld8S5A7+4vm9xXoZdPleU 93mL+Wq/c+7budJ5Gu3j+jt8/9eeO6s4X+N9Vfnk9eXrD3z3uTs7FedntJff ukOnNWm1tsiPPeqW5X3pYn9st7nznqt0Xkd7+S3dZey6g1sV52+87yqfvH69 e6edl2/zTpGf9vKbsHOD/R9+sDjvwy6f+eV99OAHGrZbd3Cl80Dax/1Rf9X2 H7xS5Od9Wfnk9fHFm41uPWVkcX5Ie/kdVG/weXv1K+qS7PK5oHwOoKiPr7hg +w8qnTfSXn5dl/c99owLivNH6p6xX5HV3//8+Yd99+9cnC/SXn4rv5k14ZVN irpJ1FF/pW4mv/idYffva/ePWdexON+kLiMf9X2865zfXvr2h0V+2sf5nXnN 3jr68Y5V6zwpn3lPnfXqPpX4gUnbjllX6byU9vK78eH1z1z7Zsde/cr9XKWe +EW7O3rX2Gd+z0fL10nYa+xeuq6Djy/fh8GDy8+N4Obl51zwK+XncvBF5XGk OH+Rvu/crh/vPmevucGdJ1x7wE/LF/Y8s7zuq7K/oL5U4/el7/f8gC6LHu3+ 8hvBpz1Q77rpExcEO/+F1aNeL697I/5vyuv04EbnlOoKUQ9dUK6DBN9YrtsE 31OuMwU37VKqi1U5v/HPPw+ove9TL/X88qcV0/pX2n+gl++DfZ/Rww674LZK +xPbLX989wWV9ic+f+qai2r+u1i3dDl3z/e2rrQ/MWrnr367X6X9iYXf3Hn7 SZX2J7b++wH/vrLS/sT5p64+fFyl/Yll5es16nvqw/TDoV9i5/Gw+uKwF1/Y 9YL/ZX9DfPVx1ydWv/y/7oP8+r5st89qdhn8aVxfU9cMn33KxI+Dx/5j9t3f HfpFXF/qg66Xe396qmLkvE+Dp80Y1W3Bjp8FOz+I1RPlceH1C/ec0/vj0FM8 LJ7+9ff1l3yxfLHzjFh9VH+Kp//0B1ZvjfMHbU7asO2+y6N/un3272f6j/gm uMGRFXOHNlkR/aVe6fu3/XTXrYbfvzy4+8Tqneds9l2w85RYfVN/rR9+xE5T 234T/SMeFk9/+fu+v3yxfLHznVi9Vn+JF+ctUn9g9V/9NfvP36+pW29Vcb70 y2nvPrDjv4OPOHDJvstG/Bj9pX7q+x/25XubdemxKvjjA59vdNw5BTtfitVb 9VevzoNvWbi+OK8qXoxPKZ7+8vfj+kn5Yvli512x+rH+Ek//6A+sHq2/alz8 2HmjL14b/VPxwYWHt71nTfDt+4ybccryddFf6rm+/62L7xwx6eG1wR16XPmX hYsLdt4Wq//qr5HbdKp7yODi/K54WDz95e/7/vLF8sXO/2L1bP0lnv7RH1h9 XH8dcPZZ32384pfon5Pf3OP1uzYreMg9j9333Y7Veukv9WXff+GCo9Zv22xj 9Meg3XvUOuTAgp0/xurR+uvFll+OnruwOM8sXpz/TfH0l7/v+8sXyxc7D43V 1/WXeLGfm/oDq9frrxd3vfPp7tsX9fAjPrvk/lrPbhJct0n9Y3f4rHr0l3q3 71/3lC32XrBvwf1uv+KFUwYU7Dw2Vh/XX9XHvDVi/PjifLd4cZ45xdNf/n7c fylfLF/sfDhW79df4ukf/RHnjdL+QewfPfrjuRcvqRH9s+qE9wf2PqfgR288 a6vB92wW/aX+7vs/+uHpa+quqRG8qv5HV4xvUNidT8fq9TFuV9+tx4f9i/Pu 4sX57RRPf/n78XxK+WL5Yuflsf0H/SVenOdM/RHno9J+hv6q2emoXabesXn0 z+2L9mo7cpuCD6n9z7cfOLRW9Jf9AN//kGNendLnsc2D77x2n+4fvlxwnItP bP9Af+1f3ueP/hEPi6e//P14XqV8sXyx9wew/RD9JV6cz0j9ge2vxP7f/zz9 7cq+W0T/7HHkPYtnLi7eR/juzzve8slmdaK/7E/4/t+9td15owdtEbxHjb+u bXF5wd5fwPYzYl6d5tn6Rzwsnv7y9+N5nvLF8sXep8D2Z/SXeHFeJfVHzCfS fk/Uj1s3eXiX6sV+yrv/XHP3+lvqFu9X/HL9IW1n1Iv+sl/i+9/8hzGd57Qs eNEVG6b2371g73PEfCPtr8Q5q7TOiPpAiofF01/+vu8vXyxf7P0SbL9If4kX 55VSf2D7T1EvvvO8086ctmXx/sKBx/TvemDBd8/48eqd9moQ/WX/xvfv/MpX yzcu2DL4orXHnX/b1wV7vwXb78nXYVEvS/GwePrL3/f95YvlG9dXet8G27/S X+LpH/0R5xjTfliMj2NOv7XfnsV+0w2fLL6228Zif2zpxX/7vO/tDaO/7Cf5 /oP/5/6jxu1XcN3pHzZfemjB3vfB9p/ydar+ES/GyxRPf/n7vr98Yz2Z8o3r Lb1/hO2n6S/xYnxM/YHtz8X++wEtfhh2a7H/9cG465ceM6Dgrnsetd+Q7xtF f9nfivXiiUc+PWNcwcdf+JcLaz5SsPefsP2wfB0f68UUL/bnUzz95e/7/vLF 8o37Mb2Phe3v6S/x4n2B1B9xHjDtF8Z8YtNXD71lefE+147H7/37C6cUPGZV jQljDmoS/WW/zfev1XrTxovXFv3xaJd93t26ZmH3PlisH9P+XF7n0D/ixfwi xdNf/r7vL18s36hvpPfTsP1G/SVezCdSf2D7l3F+4vmLHnv8wGJ/8LIW3/zt jgYFL5r8dLWJf2sa/WX/z/c/5l9Pnru2X8Ebfvi2y34nFez9OGy/MK8D6R/x 4nxFiqe//H3fX75YvrFeTO/rYfuf+ku8eJ8k9Uc8/9N+aqwfr9iu3vz7i/f9 Xn/33hpPn1HwducM+uNL1ZpFf9mP9P0fuvPkBc2eKPrj4MfH3nbSjIK9Lxjr 87R/mdfJ9I94WDz95e/7/vKN8S/li72/iO3H6i/xYv2Y+iPeZ0n7u/qr396L zvj2l2J/t/XtB53y1ssFX7Rjk5mfHdc8+sv+qO+/5shGu+xRp+CxZx688spm BXt/EttPzeuI+kc8LJ7+8vd9f/nGeJnyjfV4ep8T2x/WX+LpH/0R42Xab9Zf D6y5Zt4WA4r93LjOE7/y9ZzW1Z9pEf1lv9b3P7Dh7L/0O7Xgb7ffcNi4YQV7 nxTb3431dscHn5jRtNj/FQ+Lp7/8fXnmn/LF3m/F9qv1l3j6R39g+9/6a9WU PbfffkrxfuyM+g9XbHl5wc0nnndpRaNW0V/2j33/u+ef++2wF4r+6P7VI4/P +GfB3q+N+mHab9ZfTT45asvFQ4v3dcWLemGKp7/8/ag/pHyxfLH3fbH9c/0l nv7RH3EeP+3H66/9z/vqmt83KPa7675+7JU7LSr25wcP6vh+j7NaR3/Zz/b9 l17fvu8trQu+4YHj6i/ermDvG8d6IO1/xznxcZudvfa1Yv9evHifPsXTX/5+ 1CNSvli+UW9N7z9H/T/t5+sv8fSP/sDOB+iv2zvf9eWfzij234+/tvZHfXcv eFr7t7ue8Eqb6C/7675/1z5v/v3xCwv+4KQ6Z639c8Hev471UNqP119PHzfl 9Wadiv168eL8cIqnv/z9qNekfLF8sffBsfMF+ks8/aM/sPMK+uvz5Qf0HvVy 8T75owc8233IjQXXWjLyrks7tov+st/v+4+peVWt+W8V/bFju3+81mxJwd5H j/VTOh8Q+4Yt/rTDHiOL99vFw+LpL38/6jcpXyxf7P147LyD/hJP/+gP7PyE /rrvqPWHv9mg2P/fsOnp9435ujhPseMhLdYf3LMi+sv5g3i+n3T37qu3KrjH 2b9t2qpNwd7Pj+dXOq8Q5xvebXJdvw+L8xbixfnMFE9/+fu+v3xj/pryjflX +r2AqC+m8xf6Szz9oz+w8xz6a78uR141cGbRXw8OrHv5kRMKXrjjub/54Nui v5yHiPGv14qTr36x4C8P/sv+D88r2O8VxPMunZ/QX2/1Ofn8vcYW/SNe/N5F iqe//H3fX74xf0/5xnws/X4Cdh5Ef4mnf/RHvO+Uzpfor28aPfLE92cU5zcO 6Tno0U8PLfiyOq8ee8a97aO/nM+I8bDdgbc2GVbwjTt8cd5eFxXs9xvieZ/O c+ivS7abfv8rfYrzHuLF+YAUT3/5+1EfTPnGPCjlG/PV9HsS2PkU/SWe/tEf 2HkX/XXbD9U/vqJFcV5jdZsZi8/9ueivrZdVXLvu9x2iv5wXifnCz//vhfvb FbzHFvvc/8o2Bfs9ixgf0vmSeL9g80ZvH/1T0T/iRb0wxdNf/r7vL99Y76R8 Y/6afl8DOy+jv8TTP/oDO3+jv/ZeMGDL+nOL/hq3oXGdTR4p+PVXLpp27Y9F fzm/EvOHD35asds/C/5o6e1vHf12wX7fI8bHdN4lzqOU31Mr5g8pHhZPf/n7 UW9O+cb6KOUb8/v0eyPY+R39JZ7+0R/YeaA47/LYkz3+en5x3uaAxWd0u/mY gi+auOCr5vd3jP5yniaup38cWjH7koLHzP12k69GVOqf9Hsncb+m8zf6y7mH uJ5SvBgvUzz95e/7/vKN6ynlG/dj+v2V6N90nkh/iRfnK1J/YOeT5O99ZPFw tU1K71UX52fK903wMeX3toNHlp9DwU+U3wsPfr/8XA+uVX7vvHi/sTxOBj9f fq89uEl53hE8tPzefPCL5XlccEX5vfzg88vz4uAF5ff+g7curzOCWy8r/S5G 8OzyPlbwJeXf3QjuUN4XLL5v+Xc9gqu3Ku2zxnmhYeXfDQl+vrxvHdx5Y+l3 SYKvKJ8DCP6u/LsnwRdeUDpXEXz09qXfVQn+d/mcSvCDl5d+Zyb4uatL55aC Xa/x/4P7P947+bX3Pn7tvYtfe+/h1947+LVz/7927v7Xzr3/2rnzOPdtfZn6 K9ZL6X3ueJ6k97ej/pg46u3pfe5YjyWO+kN6v5sdx/iX3vdmx+ze/47ncWJ2 74Oz46ivpffD2TG798XZMbv3x9kxu/fJ2XGsV9L75TEfTszufXN2zO79c3bM 7n10dszu/XR2zO599ZiPJmb3/nrMJxKze589xoPEsZ+c3m9nxzHfTu+7x/5u 4hjf0vvvsf+ZOPZb0/vwsd+ZmN378bEfmJjd+/LsmN378+w4xqP0Pn2MR4nZ vV/Pjtm9b8+OR5R/J6bK+dRf9j7gxoWXj4nzQ0duXXpPPu4Hvz8Y9faZ0/48 abun43yK9/XTuBm/j/GP8t8N7l/WMbjmuSXdg6eWr5PgU8vXVfBW5esw+OXy dRt8Qfk6D+5bvi+CHy7fR8G1S/9/huL3PPJPzyXsOYQ9d7DnDPZcwZ4j2HMD e05g1zV2HWPXLXadYtcldh2GPum6w64z7LoKe9JXv9AX0xfTF9MX0xfTF9MX 0xfTF9MX0zfXEeef9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9A19kr6Yvpi+ YU/66gf6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvrm92WuI84/6Yvpi+mL6Yvpi+mL 6Yvpi+mL6Yvpi+kb+iR9MX0xfcOe9PW96Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvp mz9n8/sy1xHnn/TF9MX0xfTF9MX0xfTF9MX0xfTF9A19kr6Yvpi+YU/6+p70 xfTF9MX0xfTF9MX0xfTF9MX0xfTNx838OZvfl7mOOP+kL6Yvpi+mL6Yvpi+m L6Yvpi+mb+iT9MX0xfQNe9LX96Ivpi+mL6Yvpi+mL6Yvpi+mL6Yvpm8+D8rH zfw5m9+XuY44/6Qvpi+mL6Yvpi+mL6Yvpi+mb+iT9MX0xfQNe9LX96Avpi+m L6Yvpi+mL6Yvpi+mL6Yvpm8+r83nQfm4mT9n8/sy1xHnn/TF9MX0xfTF9MX0 xfTF9A19kr6Yvpi+YU/6ypu+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL75OiWf1+bz oHzczJ+z+X2Z64jzT/pi+mL6Yvpi+mL6YvqGPklfTF9M37AnfeVJX0xfTF9M X0xfTF9MX0xfTF9MX0zffN2Zr1PyeW0+D8rHzfw5m9+XuY44/6Qvpi+mL6Yv pi+mb+iT9MX0xfQNe9JXvY6+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Y vpi+mL6Yvpi+WD9i+mL6Yvpi+mL6YvqGPklfTF9M37AnfdVb6Yvpi+mL6Yvp i+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6YvpG/ok fTF9MX3DnvRVL6cvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+m L6Yvpi+mL6Yvpi+mL6Yvpm/ok/TF9MX0DXvS134HfTF9MX0xfTF9MX0xfTF9 MX0xfTF9cdS9E0edNHHU1RJHHSZxrNsTxzovcawLEsc8MnHMOxLTF9MX0xfT F9MX0zf0Sfpi+mL6hj3pa7+Kvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+OPY5Ekdd PHHUURNH3S1x1GkSx7o+cawDE8e6IXHMMxPTF9MX0xfTF9MX0zf0Sfpi+mL6 hj3pa7+Rvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+OPa1Esc+SOKomyeOOmviqMsl jjpO4lj3J451YuJYVySmL6Yvpi+mL6Yvpm/ok/TF9MX0DXvS134xfTF9MX0x fTF9MX0xfTF9MX0xfTF9cexjJo59r8SxT5I46uqJow6bOOp2iaPOkzjqAolj HZmYvpi+mL6Yvpi+mL6hT9IX0xfTN+xJX/v99MX0xfTF9MX0xfTF9MX0xfTF 9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0DX2Svpi+mL5hT/o6 r0FfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xf TF9MX0xfTN/QJ+mL6YvpG/akr/M29MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF 9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0DX2Svpi+mL5hT/rKi74xjiR9 Y96Q9I15YtI31gVJX0xfTF9MX0xfTF9M3/wcTH5uIt9nz/dl8328fN8n3yfI 68p5HRLnn/TF9MX0xfTF9A19kr6Yvpi+YU/6yoO+MS9I+sY8MOkb8/6kb6zz kr6Yvpi+mL6Yvpi+mL75uab8HEx+biLfZ8/3ZfN9vHzfJ98nyOvKuY44/6Qv pi+mL6Zv6JP0xfTF9A170tffpW/M85K+Ma9P+sY6Lukb6/akL6Yvpi+mL6Yv pi+mb35OLT/XlJ+Dyc9N5Pvs+b5svo+X7/vk+wT5fZnriPNP+mL6YvqGPklf TF9M37Anff0d+sa8Pekb67Skb6zLk75Rh0n6Yvpi+mL6Yvpi+mL65ucO83Nq +bmm/BxMfm4i32fP92Xzfbx83yd/zub3Za4jzj/pi+kb+iR9MX0xfcOe9BWX vrEOS/rGujvpG3WWpG/U1ZK+mL6Yvpi+mL6Yvpi++TnS/Nxhfk4tP9eUn4PJ z03k++z5vmy+j5ePm/lzNr8vcx1x/knf0Cfpi+mL6Rv2pK849I11ddI36ihJ 36ibJX2jTpr0xfTF9MX0xfTF9MX0zc8F5+dI83OH+Tm1/FxTfg4mPzeR77Pn +7L5PCgfN/PnbH5f5jri/JO+mL6YvmFP+vKjb9RJkr5RF0v6Rh006Rt176Qv pi+mL6Yvpi+mL6Zvfs47PxecnyPNzx3m59Tyc035OZj83ES+z57Pa/N5UD5u 5s/Z/L7MdQx9sk/6YvqGPekb7ZK+UfdK+kadM+kbde2kb+xjJH0xfTF9MX0x fTF9MX3zc/v5Oe/8XHB+jjQ/d5ifU8vPNeXnYPJzE/k6JZ/X5vOgfNzMn7P5 fZnriPNP+sa/J31D96Rv1DGTvlG3TvrGPkXSN/alkr6Yvpi+mL6Yvpi+mL75 exj5uf38nHd+Ljg/R5qfO8zPqeXnmvJzMPm6M1+n5PPafB6Uj5v5cza/L3Md cf5JX+870RfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfT F9MX0xfTF9MX0xfTN/RJ+mL6YrqG3fM5vZ8dz+fE8XxOHM/nxPF8ThzP58Tx fE4cz+fE8XxOHM/nxPF8ThzP58TZe1T5ezf5exr5uf78HHh+bjg/Z5qfS8zP seV1o7zOkK9L83VMPu/N50n5uJo/h/P7ttdp5d85iP//hd/hxX63C2vv9/+1 x9pj7f3+vfZYe6y933/XHmuPtff759pj7bH2fv9be6w91t7vX2uPtcfa+/1n 7bH2WHvt8k/tsfZ+/9e/Y+2x9n7/VnusPdbe779qj7XH2vv9U+2x9lh7v/+p PdYea+/3L7XH2mPt/f6j9lh7rL3fP9Qea4+19/t/2mPtsfa5jjj/1N7vv2mP tcPa+/0z7bH2WHu//6U91h5r7/evtMfaY+39/pP2WHusvd8/ius8cfRLYu39 /o/2WHusvd+/0R5rj7X3+y/aY+2x9n7/RHusPdbe81d7rH3+fDaOaY+1x9ob 57TH2mPtjYPaY+2x9sZJ7bH2WHvjqPZYe6y9cVZ7rD3W3jisPdYea2+c1h5r j7U3jmuPtcfaO9+sPdYea++8rPZYe6y985faY+2x9s7zaY+1xzE+pvNhMT4m jvExsfbOG2mPtcfaO7+iPdYea+88hPZYe6y9/XXtsfZYe/u12mPtsfbmcdpj 7bH25nnx/3FOHP9fzsTamwdqj7XH2psnao+1x9qbR2qPtcfam2dqj7XH2puH ao+1x/E8TPPUeB4mjudh4njepnlsPG8Tx/M2sfbWM9pj7bHf0fH5uw1Tx9Vq 2TL+veERw9bW7dTxebyydB1tHvYpJ798Uu8FHYK3LD/3Y36NPa8fK88Two7Z TyzPO8KO2eu/U5rHhB2zzyzPi8KO2c8uz7PCjtnbludtYcfs88vzwLBj9nXl eWXYMfuA8jw17Jjdv+ef7NYZ/h2zW1ewY3brCHbMbt3AjuNccVonsGN26wJ2 zG4dwI7ZzfPYMbt5HTtmN49jx+zmbeyY3TyNHcd8I83LYn2YmN08LK7/xOzm Xew4//2aXHfsPpv/6n/7ZXHP35Xa1+6F3U+uC/F+7brB4p9RirM04mPxXVfi /9p1h8VfM/a//fJDxMfiuy7F/7XrFovfrfTc+CniY/Fd1+L/2nWPxb+sdN1t iPhYfPdFvC/wK/cNFv/E0nVVrZf4WHz3lfi/dt9h8auVnsubRnwsvvtS/F+7 b7H440vzk5oRH4sf86AUP6/D5PN+HONUipt/iq8eID4WH4uPxf+0ND+pE3Gx +OoH4mPxsfhY/FGl+Un9iI/FV28QH8e4ljjGvcTiNyrNTxpEfCy++oT4OMbV xDHuJhb/5NL8pGHEx+KrZ4iPY1xPHON+YvGfLM1PGkd8LL76h/g45hWJY96R WPzqm6/peNOkJhEfi69eIj4WH4uPxT/ixYkjJ9XaKuJj8dVXxMfiY/Gx+BOu OvqT105pFvGx+Oox4mPxsfg45nk9Nu+1bGbziI/Fj3VLip/XTfN1Os7nmXH/ JhbfuC/+r80LsPi3Pnvqz9sObxXxsfjmDeL/2rwCx/Phgq2O772gdfF8SCy+ eYf4vzYvweLv1uXl6afs0DbiY/HNW8T/tXkNFn/kD8NbjBzdLuJj8c17xP+1 eREW//T3GnVfMLQi4mPxzZvE/7V5FY51ydQhZ/yxbfuIj8U37xL/1+ZlWPxn b59973evFfGx+OZt4v/avA6Lf9J5LeddfnGHiI/FV28TH4uPxcfi1y6v2yI+ Fl99LvajE4uPYz84sfjPdJ633diFRXz8bPkz1ovVe5aeG8FPlp9TwSeXn4vB jcrP4eDZ5ed+8LDyOBPcoTyuBU8oj6PF3/97adwOtl/mex5Uum4XxLzOp3/f vtSvn8a/Tyrdp8uD7y6NK6uC3y8959YGty7ddxuDnyhdB8U87LBS3WezKvMa f3/Z+/Xn3zW3WI/f2+aP51x8ZouwY/P/bnfP3HFqh+I5dd1RZ1+/8PLiufJ+ o7bLVi5qG9x06akP1GpZ3FfPvTzz7bvmFvynv221aafhxX1Rb9TZu03tUFxn 6g76Uz1Aflh+1rvWG/TI1x/6XX9g3zdn6xP3mXjyw/Lhj/nLz3pFfvn6xXUg PyyfnK1v5Cee/LB8+GP+8rPekV++/nFdyg/LJ2frI/mJJz8sH/6Yv/ysl+SX r5/cJ/LD8snZ+kp+4skPy4c/5i8/6614fzpbf7lv5Yflk7P1mfzEi3M9ieXD H/OXn/Wa/PL1m+eI/LB8cra+k5948sPy4Y/5y896T375+s9zTX5YPjlbH8pP PPlh+fDH/OVnvSi/fP2ojhnz28TyyTnGuWxfLa/Lyoc/5i8/60355evPW0v1 9C2K+Wti+eRsfSo/8eSH5cMf85ef9ar88vVrl1I9vl7kh+WTs/Wt/MSTH5YP f8xffta78svXvwtL9fwtIz8sn5ytj+UnnvywfPhj/vKzXpZfvn6eXtoPKNbP WD45W1/LTzz5Yfnwx/zlZ70tv3z9vUUpbqPID8snZ+tz+YknPywf/pi//KzX 5Zev3weU9ouL+gCWT87W9/ITT35YPvwxf/lZ78svX/8//MWhR7Y9rmnkh+WT s/qA/MSTH5YPf8xffuoF8svrB+smbJzcfWpRn8DyyVl9QX7iyQ/Lhz/mLz/1 Bvnl9YeDBj7e4LiGRf0Bx/w3Y/UJ+YknPxzz0+Qfz+vkLz/1Cvnl9Yt8XMD/ 16f6Rn4OI9/Hkw+/GD+Sv/zUO+SX1z+sG+SHxc1ZfUR+4skPy4d/jCfJX37q JfLL6yfWKVGfTxzz0YzVV+QnnvxwzEeTf4xvyV9+6i3yy+sv1k3yw/LJWX1G fuLJD8uHP+YvP/Ua+eX1G+u4mD8njvlzxuo78hNPfjjmz8kf85efeo/88vqP daX8sHxyVh+Sn3jyw/Lhj/nLT71Ifnn9yDpXflg+OasvxbmpFC/23RPLhz/m Lz/1Jvnl9Sfrbvlh+eSsPiU/8eSH5cMf85efOPLL61fqAPLD8slZfUscn/LD 8uGP+ctPvUt+ef0rn3f/X89VrD4mD/Hkh/nln/zlp14W71dk9bM/7tv2loWX F/UzLJ+c1dei31K8eD8hsXz4Y/7iOW/Hjv9U9ot6mfPvWL0w5mHlcTTYefiY R95fmgcEOx8f8+DyPCbYeXk8pDwPC3Z+HrcszyODnafH88rz4GDn6/Gq8jw+ 2Hn72Mcpr0OCnb+PemZ5HVWlvojVT/N9e+xcYr7vjp1DzPfNsXOH+b53jGPp nGG+b42dK8z3nbFzhPm+MXZuMN/3xc4JYufE8n0a7FxYvs+CnQPL90mwc1/5 Pgd2zivfp8DOdeX7DHE/pHNc+T4Bdm4rr/Pn9dL8ORX73On+dF2wx/nWZHdd sMd51mR3XbDH+VXzl3RdxHzEedVkd12wx/nUZHddsMd51GR3XbDH+dNkd12w x3lT89N0XjTmm86XJrvzoexxnjTZnQdlj/Ojye78J3ucF0125z3Z43xosjvf yR7nQZPdeU72OP+Z7M5vssd5z2R3XpM9zncmu/OZ7HGeM9ndZ+xxfjPZ3Wfs cV4z2d1n7HE+M9ndZ+xxHjPZ3Wfscf4y2d1n7HHeMtndZ+xxvtL4le6zGL+c p0x29xl71OmS3flHdmw8zp/v9jPcz/n+Sz5e2g8xnmpvfIzzf2n8ZDc+shs/ 2Y2P7MZPduMju/GT3fjIbvxkNz7GObE0frIbH9mNn+zGR3bjJ7vnWJyfTOMh u+cYu/GQ3XMsziGl8ZDdcyzO+aTxkN1zjN14yO45FudU0njI7jnGbjxk9xxj Nx6yu8/YjX/s7jN24x+7+4zd+MfuPmM3/rG7z9iNf+zuM3bjH7v7jN34x25/ mc72f+238WPP91n5uw742w/jz86fnb/rhL/9Kv7s/Nn5u47420/iz86fnb/r jL/9Hv7s/Nn5uw7524/hz86fnb/rlL/9Ev7s/Nn5u47528/gz86fnb/xmr/9 Bv7s/Nn5G8/52w/gz86fnb/xnr96PX92/uz8zQf4q6fzZ+fPHuc/03yBv3p3 nP9Mdv7s/M0n+KtH82fnz87ffIO/ejF/9nhuJzt/8xH+6rn82fmz8zdf4a/e yp+dPzt/8xn+xln+7Pk4zN98h796JX/2/JwFf89p/uqJ/Nn5s/P3HOev3sef PcatZOfvOR/Pn1SP488ez59k528c4K9exp+dPzt/4wR/9Sz+7PzZ+RtH+Ks3 8Wfnz87fOMNfPYg/O3/2ON+U5nv8zfPifFOy5+dU+JsP8ldP4c/On93vB9Rq uuq/+zU9Lyr//+KL90PK/z/6YO3wp7u+fXDDDsX/R4W/8ZI/5o/5Y/7GS/6Y P+aP+Rsv+WP+mD/mb7zkj/lj/pi/8ZI/5o/5Y/7GS/6YP+aP+Rsv+WP+mD/m b7zkj/lj/pi/8ZI/5o/5Y/7GS/6YP+aP+Rsv+WP+mD/mb7zkj/lj/pi/8ZI/ 5o/5Y/7GS/6YP+aP+Rsv+WP+mD/mb7zkj/lj/pi/8ZI/5o/5Y/7GS/6YP+aP +Rsv+WP+mD/mb7zkj/lj/pi/8ZI/5o/5Y/7GS/6YP+aP+Rsv+WP+mD/mb7zk j/lj/pi/8ZI/5o/5Y/7GS/6YP+aP+Rsv+WP+mD/mb7zkj/lj/jjyT/sTkX/i yD9x5J/Y/3/+2HOaTaj1mxd7flnyr93L/2+e/ekbNu++7OUlYf/mxuuvnDRi cdg/euKqxoNnLAv7usn7Telzz9KwP/nPK0dNmrcy7L3mDzyq7bM/hH3V7B4b t91zTdhHzmm34K5tfgr7HtN+vnj8/T+H/cVpHx3U8NYNYZ/R/8R1dcds0ou9 +nvzT+69sVp8v+PffO6ZPj1qhP2Bw3euGDll07D/0rfN8NGraoZ9/9f/8uHM M2qGfdzLl+025+HaYffJ3mvfD77fOLBu/PvoFw4+puuiOmH/+B97T+rebMuw b9f90abDb6xf+N/3hykzvmwQ9kGLr/76mAkNwn7zMT83Xrxvo7A/ffdvD7zw 54ZF/KaThq0d2zjsNfp/8eAdxzQOe+e3j3+z2ZomYe/X+I7Nnn6qSdhH3Fy3 8x5HblX0z4L9B71Vf6uwL/jDjBv7PdYs7Kv+smr2itObhb2izpnLh9VuUfRf 3wfab/lS87APfaXVwbcMahn222v1G7FTRcuwP3/1aw8/PqtV2D9/adMlfS9t FfYG+11ae37LNmHv8uen9hnybuuwD6y2w+Bvh7cN+6hep4wds2vbsD/x3Psv b/Fmu7Av/LnR+gdvaFd8/31eurXJnRVhv/WETx799LyKsG/Xus3s+/drH/Zu 3ff64Nz27Yv+WXf+D7v9UNg/bXlLnU3eKOwX/ev1itnjOoT9urVLu918WYei /6ZtfdjhB3cM+26Leg1p95vi/lxw52VXfry2sH889e57HnuvY6/5T5316j5/ /898+qhv/3Ofb9Zz23ea3vvY+g7Be/6469OX/ef5MGHnx5/rf+abPXfsfchV O/1n/s7+wTXjOmxZr1nwDfO+m7NictPg7vV6/umt/k2Cvz30pppPr28UPPbW JRPvGN8w+OB3dulzYe8Gwat3qfbO5IX1gvtPGd9seNs6wY9d9vpxXf+zXsD5 vy/eblDHmyZ/Ef/+RO1z6+7be0Xwyl92uWb65B+Du6z6bpMubdcHT1/Vf2b/ 3tV64ePPmXrpbeurB2/4uuleCyZvFjxu0PDVdQfXCh7arPnOe8xpEfz8wrk3 9GvbKrjBrRd+M+zi1sEDD+100C0L2wQ/Ufe9hx7fpV1wtT/N2fS03hXBD+3X avfVKws+rMN5J189vn3wmmqv3dLkkA7Bu5T17DXtjt2mdN9qcjB98QWXHNh8 +E//Cv3fveqofm1v+iz6Rb9qz45ndppw1aSFX4X/gDPf7tNw8HdVdNCeHXeo ffPeC/r/EP5nP/JQu5HjV1XRTXt2POiXQ6b2mbM6/J8Yf9q96+uuq6Kz9uz4 wX/X23XOLhvCf+Ud2zYdfvHGKteF9ux42PlfHtV2frVe/Me+tPL3Pw2rXuU6 0p4dN/m+d+PjRm0a/t17HbFZl+03q3Ldac+Onz79bwvu6lYz/D+aPnn20CWb V7lOtWfH/T+vcePCFbXC/4rfNhwx6Y4twr/HkoVP9WlbJ9qz49UnDurbcGKd 8K94Yug+y/rWC/+Pj+1y7uiF9aI9O777X3NqHXJC/fAf2HTw5Y03aRD+vZb1 ueuk3g2iPTtu/XDDU166tkH4P/FWsw92Pb5h+N88ce2PV45vGO3Z8ZmnvfDC Z583DP9qN8/tdtgzjYr8B/2937j1jaI9O56x9bkV1Xs1Dv/D/nDhPWc3ahL+ nTsc+9SM/k2iPTuu+2nFlRX3NQn/8Vt0WnPDWU3Df8SSWo0WT24a7dnx8f9v wYc9VjcN/xVz3+3/yCtbhf+CsdOGrq3bLNqz40ePH9H9hMObhX+vq0dPebVj 8/CvGDD4jWaDm0d7dryhRef7Ln20efjf/Ls9miy9okWV56L27Pjg95asvWfz luH/8cYvhtV8v2WV56j27HE/3X7TMdNObhX+nZ+7482tf9u6ynNXe3b87eE9 n3n3udbhP+KS3p33u7lNlee09uxxP275fdMfm7cN/wV7/njjSd+0rfJc154d 3/D6uPMbn98u/G+65K3VPTtWVBkHtGfH3+8/8eu7T6sI/z2P/c22byyoOm5o z47v6rix+XZN24f/kj1HHnXiFe2rjDPas+Oe1Y8+8JnZhf81W70/avkOHaqM S9qz468+fuzCA4Z2CH//zn/8kg4v3L++aJ9/3jSr5sR32nQM/3+9fe1nda7p GP4Hz7xkxW5/7xjt2fE+4058d9BrBee/VyqO3wOKOkU6v8VuPxrbf8b2m7H9 ZWw/Gds/xvaLsf1h7LxUXPfqoomjzpk46paJow6ZOOqKiaNOmDjqfq4zdbzE UZdL7L2evM7Bvqy8Hq3ynnte19A+6haJow6ROOoKiaNOkDjW/YljHZ841uXZ fEp+WL/G8zz1K9avWL9i/Yr1K9avWL9i9Ums3ojVD7F6IFbfw+p1MT9I9beY L6V6Woz/qT6G1bswnTEdMR0xHWO+mXTEdMR0jPs36YjpiKNekq0jjtz6r69f 98RLVdYX/v3M6r8s6Vtpft989TknvFTp+t0wf/4xZ1R6XtT4fWn99bz6yP6X 37K+RaX7Yd4Xp1f/6n+5vi5q8FLFTX+YHr/35fq3n4L9nhf2+13Y73Vhv8+F /R4X9vtb2O9tYedxsf0b7L1g7D1c7L1X7D3TqDun9zqx9yix9xax9yiw9xaw 9wSwc/nYOXjs3Dl2zhs7L5zvR+kH40++ntq2xU5P9en9Qey3xHmZtF5fWvPs mxYOf7dnlX5N18WQHXe45LYnC75n97891LTS/lTso6b1/uQay/o2nPF+5EcX +eTrteYXNnnjrvVLIz/t5bdmeZd9Pmz8ZVWdUz7Pjrjtye5PFtymbcdxtSrt f2kvvw++HXbf+j2WRn6uE/nk68H5nfuc3HvZD5Gf9vLrceaxLQZfsKLqdWf9 M6XWwrsq8WGjFrx6eaX9Ne3l98QZFx340zU/RH6uW/nk680G29b6cGb/nyI/ 7aNedFLz2z/59Meq94H1xcNzD2n4ZMG3XnzT/j+dVuzfaS+/lQP3nDN01erI z30kn3w9e0SruUd3nbMh8tNefrP7v1f/uEPXV70vUz4dxo9+9bpKvPDsQ2YN rbQ/qH3U2/qv3mfZwA2Rn/taPvl6+aBa+329qFmxn6i9/Kpv+9r+y04ongvx nEj5PDmvQ4eRlbjukzXbDK+0/6i9/Kb/bcAHk7+sFvVwzxn55Ovxb0dOeLDp /E0jP+3l98D431Tv1GTTqs+tlE+/3iOXzKzEj+546vuTK+1vai+/4yum3/Pd 2E0jP889+eTr/Rt+3mTQEaNqRn7ay2//VtfNOmXeZlWfoymfVbM+Gbu+Eh8y 8aW7vqtb7J9qL78N97Y4eocja0Z+5nXyyesJO190UvubuhX7rdrL78s7vr5s /IhiXhjzxJTPnd32HdC1En/Xfpujdqi0Pxu/i5ryG9f04iaDaxf7td7Xlk9e r5i/8vmPXltRJ/LTXn6jG/Tp9uEedSI/9piHluuURb1h7KhGgyvt/2ovvx43 L3rzgVl1Ij/va8snr4cMPatibK2J9SM/7aPefP1DP7VYXi/yY5fPonJdtahH NPv8jQcq7S9rH/XiLbre9Mnw+pGf97Xlk9dbaq2a9eiEx4r9aO3l93n1UQMe ObzYn2aPunG5Dhy89JX/eXlFpf1r7eX3/Oy+2255Z7Gf7X1t+eT1nGMmn1Pn hdrFfrf28uvy/O7Pvvpow8iPPerc5bp1cNfRh2+zZaX9ce3l12DE+lE7/dAw 8vO+tnzyetFDZ7cbsmRQsZ+uvfxGXf5Zs6WbF/vr7FGXL9fZg8fst8monSrt v2svv4H7PPJZ34OL/Xjva8snr0et2eGNV36e1STy015+C7vddkHNU5pEfuzy 2bG8L1Bcj9Umf9q30v6+9jH+rhvwuyETm0R+3teWT17vOvDrKzq1blWcB9Be fluv+d07W88szhewy+ey8j5G8HYzB+47pNL5Ae3lV23aFv8zpnpxnsD72vLJ 62l3P7jz6G4XFOcNtJff+VNW7r5fi+L8AXusu8v7LsEXXdpg/JhK5xO0l99h w6dvfPCE4ryC97Xlk9frlp7y0efHvNk88tNefi8Om3DrSec3j/zY5dO6vE8U /ErX5395sNL5B+3lN363ISe+NK155GedL5+8Hti1/Y37XbhjcV5Ce/k16XzE D1e+UdQJom6Q8vm/1m3yi9/RTvmt+L7Fc581Ls5bWGdEfT+rN475aJ8Jd1xT nMfQXn6Dlm9y2LjftKq6bkn5zJg1qceQSjz4qXYzPqt0fkP72A+f9Gqr6ucU 5zmse2K+ktUzF923vNrTn7aO/LSP/fqHJz824+rWVddR5lOXn/DXMZV42tA3 WlavdD5Ee/ndPOTiSyrmtY78rMNifyOrl2537F//+NY+xXkS7eVXY/BJ9RZ/ 3Kbqus7+Srd6Gx6sxLV2vvLiikrnT7SP8a3T9v/qsU1xHsW6MOZTWT32oq3+ MHPF3cV5Fe3l12+bhmeu3btd1XWm+d5PMwa8VImP+WbnRT0qnW/RXn6dv1i0 5wkjivMu1qnyyeu9n51+xY2bX1Kch9FefkecO/CL6/tWVF33pnyuGDD1g3Mr cb9+59y3c6XzM9rH9Xf4/q89d1Zxnsa6WT55Pfn6A9997s5OxXkZ7eW37tBp TVqt/V/W4SmfbfeqX3eTfxe8Ybe5856rdD5He/kt3WXsuoNbFedtrOPlk9er d++08/Jt3iny015+E3ZusP/DD7avWhdI+cxvdureN1fiBxq2W3dwpfM/2sf9 UX/V9h+8UuSnriCfvB6+eLPRraeMLM4LaS+/g+oNPm+vfh2q1inUkVc/N6Rd JT54xQXbf1DpfJH28uu6vO+xZ1xQnDfyvnbsT2T19j9//mHf/TsX54m0l9/K b2ZNeGWT4nwRu3zals8hFOuRch0t8tM+7t/X7h+zrmNxnsn72vJRz8e7zvnt pW9/WOSnfZzXmdfsraMfL/Jjjzpd+dxEoe+kbcesq3Q+Snv53fjw+meufbNj r9SuyvmKL9rd0bvGPvN7LiqPk2GXz9yuH+8+Z6+5wZ0nXHvAT8sX9hxTHvej fdfyPCV4aXleFXx3eR4YfGB53hq8pjzPDj6svC4ozluU1zHB1XYrfd+oX6lv Duiy6NHuL78RfNoD9a6bPnFBsPNfWH3qn38eUHvfp6rWW/37hdcv3HNOpf2K 9cOP2Glqpf2KXp0H37Kw0n7FyG061T2k0n7Fiy2/HD230n5F9TFvjRhfab/i geq79fiw0n4F/Xwf7Ps0+eSoLRf/L/sV+uPMsl696Ifph52Pw+p/g8Ztdvba SvsbTx835fVmlfY3arT40w57VNrf6Pduk+v6VdrfeKvPyefvVWl/45Ltpt// SqX9jQ6bN3r76Er7G0PL90/kr/7s+sTql67fy3b7rGaXwZ/G9Tl1zfDZp0z8 OHjsP2bf/d2hX8T1ov5H/3t/eqpi5LxPg6fNGNVtwY6fBTsPiNUL5e26oI94 WDz6+Pv6W75Yvtj5xP9P2J3Hbz3l/x9PKmnTvqmPlCWEkD3JJEomWyVZJjQz 2ZVS9jQNGcaarNM0QtZslZhUCoXGfJA0ymQvSwlJKfp9v5/r3F/vz+98b276 53N79Dqv13Wu1/O63u9zXuec94XVP+VLPPmRD6yeGvsJWp++aafDVkV+Dvr4 u2f7jfoyuP4JbeZf2HhN5Es90vsv+2ivpsMnrQruPLlqx3nVVwfbH4nVL/Pv jfyIh8WTL6/v/esv1l9svyZWj5Uv8WL/RMoHVt+Vr7l/+np9nbpri/2in81Y fH+H74KP77H8sC9GfR/5Uh/1/o/97N3qnbqsDf6gx5yGJ19QsP2iWD01v67E fCrFi/tPiidfXj8+P6m/WH+x/atYfVi+xJMf+Yj1x1Rvlq9ql0y56JpLNkR+ 2iwbcVzZXeuDxx0yYeaZq36MfKnXev+3Lh0/6vFHNgS37XLVXxctLdj+Way+ m193Yz9kiofFky+v7/3rL9ZfbD8vVq+WL/HkRz6w+rd8HXH+eas3f/pz5OeM N/dbeEf1gs++a8o9qztU6Spf6sfe/6Lyvht3arY58jFony41e/co2H5irN6c 35dif2mKF/t5Uzz58vrev/5i/cX2N2P1c/kSL9ZrUz6werx8vbTX+Kmddynq 3cd/fOmkms9tEVyncb2Tdvu4auRLPdv7r3NmrYPLDyu4z7grXzxzQMH2V2P1 7/y+LT/ixf7kFE++vH58/1J/sf5i+72xer58iSc/8hH7h9L6QKwPPfb9kEuW V4v8rD31vYHdLyj4sRvPazr4ruqRL/V17/+x989aX2d9teC19f575cT6hd1+ c6wen49r5Ee82I+d4smX14/rU+ov1l9s/zu2viBf4sX+zJSP2O+U1ivkq8bO ffecfvtWkZ9xSw4sG71jwb23/tfb9x9TM/Kl3u/99+7/6rSeU7YKHn/dIZ3f f6Xg2Oee2PqAfFmX1048LJ58ef24XqX+Yv3FzgNg6x3yJV7sv0j5wNZPYn3v H1O/+rZXrcjPfifctXTW0uJ8weo/dbjlw+q1I1/WH7z/1W+1v+iaQbWC96v2 tw0trijYeQRsvSLGyT+smdFvXnGuQTwsnnx5/biep/5i/cXOR2DrL/IlXuxH SfmI8URaz4n6cKvGj+xZtVgvWfyv9XduvKVOcV7i5+t7l82sG/myHuL93/zb sR3ntSx4yZWbpvfbp2DnM2K8kdZPYl/S0GMvvu2S4ryHeFg8+fL63r/+Yv3F zotg60HyJV7sR0r5wNaXoh48/qI/njtjm+I8Qo/+/Q7oUfCdM7//8+4H1o98 WZ/x/jsuWLFqc/k2wSM3nDzsts8Ldl4FW8+J+vuqJ/Yp37M4/yIeFk++vL73 r79Yf+Pzlc7PYOtT8iWe/MhH7EtM611xfxx71q199i/Wk274cOl1B20u1r9W XvLAJ73GNYh8WS/y/gf/Y1LfCd0KrvP8+81XHlOw8zvY+pJ8ffLMtSNrfFes j4kX98sUT768vvevvzEfTf2Nz1s6T4Stl8mXeHF/TPnA1t9iff2IFt8MvbVY 31o24fqV/QcUfMD+fbud/XXDyJf1q5gvnnbC1JkTCj5lxF9H1Hi0YOeZsPUu +eo0ZP93d+hdrIeJF+vvKZ58eX3vX3+x/sb3MZ2vwtbv5Eu82P+f8hH7/dJ6 YIwntnz1mFtWFeezOpxy8JEjphU8dm21+8Ye1TjyZT3N+6/ZastGSzcU+Xis 0yGLd6hR2J3vivljWn+TrzF7rNi328PFeTHxYnyR4smX1/f+9Rfrb9RH0nkz bD1RvsSL8UTKB7Y+Gfsj5oyc8kSPYv3v8hZfPnB7/YKXPDW1yuQHmkS+rO95 //3/8/SQDX0K3vTNV526nV6w827YemDsj/ly/LjTqxXrheLF/okUT768vvev v1h/Y76Yzt9h65vyJV6cD0n5iOt/Wi+N+eOV7eu+Mak4v7dw8d3Vpp5TcPsL Bv3u5SrNIl/WG73/h8afUd7sySIfRz9x722nzyzY+b+Yn6f1Sfna4eEjvrvq d8V5QvGwePLl9b1//Y37X+ovdh4RW2+VL/Fi/pjyEedT0vqtfPU5eMk5X/1c rN+2GnfUmW+9UvDIDo1nfXxy88iX9U/vf/0JDffcr3bB95579LdXNSvYeUhs vVS+hv1h3XETni/We8XD4smX1/f+9Tful6m/MR9P5zOx9V/5Ek9+5CPul2k9 Wb7uX3/ta7UGFOu18TlPvODzea2qPtsi8mU91vvv0WDuX/v8oeCvdtl07ISh BTsfiq3fxny73YNPzmxSrO+Kh8WTL6+vn/lf/cXOq2Lr0fIlnvzIB7a+LV9r p+2/yy7TivOuM+s90mabKwpuPvmiy9o03DbyZX3Y+7/zjSFfDX2xyEfnFY8+ MfNfBTsvG/XDtJ4sX+rc8iNe1AtTPPny+lF/SP3F+oud38XWx+VLPPmRj9hv n9bb5evwi1Zce2T9Yj27zsKTrtp9SbH+PnhQu/e6nNcq8mW92vtfef32vW5p VfAN959cb2n7gp0fjvlAWt+WL3X7WH9M8eJ8fIonX14/6hGpv1h/o96azjPH +kFar5cv8eRHPrD1f/ka1/GOz35/TrG+fsp1W/+31z4Fz9j+7QNOXdA68mX9 3Ps/oOebDz8xouBlp9c+b8OfCnaeOuZDab09X9eI9cYUL/YHp3jy5fWjXpP6 i/UXO9+N7R+QL/HkRz6w/Qjy9cmqI7qPeaU4H/7YEc91PvvGgmsuH33HZe22 i3xZz/f+x9a4uuYbbxX56LDdP19vtrxg58tj/pTW//N1H/kRD4snX14/6jep v1h/sfPu2H4G+RJPfuQjziuk/RHydU/fjce9Wb9Y39+05Vn3jP282C/RoXeL jUcf2ibyZX9BXN9Pv3OfdU0L7nL+vk22bV2w8/Zx/Ur7EfJ1sbi+p3ix/zLF ky+v7/3rb4xfU39j/JXO/0d9Me2vkC/x5Ec+sP0a8tWt0wlXD5xV5OvBgXWu OOG+ghd1GLLrsq+KfNnvEPe/rmvO+PNLBX929F8Pf+S1gj1/IK53aX9Evm4Y z1tI8eL5FSmefHl9719/Y/ye+hvjsfQ8BGy/h3yJJz/yEeeZ0v4R+fqy4aNP fn1OsT+j96GDHvvomIIvr/3qSefcvX3ky/6LuB9u1+PWxkMLvnG3Ty86cGTB nscQ1/u0XyNfV437YYoX6/8pnnx5/agPpv7GOCj1N8ar6fkQ2P4T+RJPfuQD 288iX7d9U/WDK1sU+zHWtZ65dMhPRb52+KLNdT8e2TbyZT9IjBd++vuLk7Yr eL9ah0xasGPBnk8R94e0fyRfd47ndaR4US9M8eTL63v/+hvzndTfGL+m52Vg +2HkSzz5kQ9sf418HVw+YJt684t8TdjUqPYWjxa8cMHIGdd9X+TL/pQYPyz7 Yc3e/yr4vyvHvXXi2wV7XkfcH9N+lvxcWIwfUjwsnnx5/ag3p/7G/Cj1N8b3 6fkh2P4c+RJPfuQD2+8T+1mmPN3lb8OK/TRHLD3noJv7FzxycvmK5pPaRb7s l4nP0z+PaTP30oLHzv9qixWjKuUnPb8kvq9pf418DX3pxb0uPr7YfyNe3C9T PPny+t6//sbnKfU3vo/peSqR37RfSL7Ei/0TKR/Y/iP9d75YPHxs6Zxy7Le5 tPS+/s/+IM/H7lg6lx/2MaV5YfAHpXP/wZ1K8+zgm0vPFQj+pFS3CO5aem5B 8LhSHSh4Tem5CMGHl+pqwRNLz10IXluqUxb7jUrPdQg+olT3Df659NyI4AdL dfTg00rPpSjOW66vWJf4P+cv5Svqp+n87i+dq8O/dK4N/9K5ssj/L5zriuvi L5yrwr90rinGOb9wrijy/Qvnen5t3/Gv7fv9tX23v7bv9df2nf7avs9f23f5 a/se88+H89tRn0wc9fh0njvma4mjPpHOd7PjuD+m897smN3577heJ2Z3Hpwd R/0tnQ9nx+zOi7NjdufH2TG78+TsOOYz6Xx5jJcTsztvzo7ZnT+P/VmJ2Z1H Z8fszqezY3bn1WO8mpjd+fUYbyRmd5497heJY705nW9nxzEeT+fdY/03cdz/ 0vn3WB9NHOux6Tx8rIcmZnc+PtYLE7M7L8+O2Z2fZ8dxv0rn6eN+lZjd+Xp2 zO68PTuO/fXpvHt+zi+eLzdrxp8ebz81vh+ePxj7EQ4+4sZFV4w9tFHpdd1f 55xT6mfwvNL7Ct62lIfgz0p5Cx5fynPwESVdgteVdAx+sKR78ODS9yx4ful7 GbxT6XscXKt7xfd+Nl5Quk4EX1O6rgSPLV2Hgqt9UHHdCq6yuOI+F+x7jX2P se8t9j3FvpfY9xD73kU+0vcs8pW+V5HP9D3CPhfYuAjT13NZ6Ivpi+mL6Yvp i+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+kb+Uj6Rr6S vpHPpC+mL86fs0Nff+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL 6Yvpi+mL6Yvpi+mL6YvpG/lI+ka+kr6Rz6Qvpm92He76S7rmf+mL6Yvpi+mL 6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Rv5SPpGvpK+ kc+kL6Zvdl/t+kvf01zX/C99MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0x fTF9MX0xfTF9MX0xfTF9Ix9J38hX0jfymfTF9M3GSV1/6bqbf09zXfO/9MX0 xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfSNfCR9I19J 38hn0hfTNxv3Buf30fy6m39Pc13zv/TF9MX0xfTF9MX0xfTF9MX0xfTF9MX0 xfTF9MX0xfTF9MX0xfTF9I18JH0jX0nfyGfSF9M3m8cE5+Oi/D6aX3fz72mu a/6Xvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6YvpGPpG/k K+kb+Uz6Yvpm89LgfJybj4vy+2h+3c2/p7mu+V/6Yvpi+mL6Yvpi+mL6Yvpi +mL6Yvpi+mL6Yvpi+mL6Yvpi+kY+kr6Rr6Rv5DHpi+mb1RmC83lLPs7Nx0X5 fTS/7ubf01zX/C99MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0j H0nfyFPSN/KZ9MX0zepGwfk8NJ+35OPcfFyU30fz627+Pc11zf/SF9MX0xfT F9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTN/KQ9I18JX0jn0lfTN+sDhgc8+z0 3OCYlyWOcXziGPcljnFC4rivJI7rUOL43CaO95mYvpi+mL6Yvpi+mL6Yvpi+ mL6Yvpi+mL6Yvpi+mL6YvpGPpG/kK+kb+Uz6Yvpi+uKoq6TnQMc8PHHM2xLH OD9xjAsTxzgicdx3Esd1KnF8rhPTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfT F9MX0xfTN/KR9I18JX0jn0lfTF9MXxx1tPRc76i7JI55euKY1yWOeUDiGDcm jnFG4rgvJY7rWGL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Rj6S vpGvpG/kM+mL6Yvpi6Nump7THnW2xFGXSRzz+MQx70sc84TEMa5MHOOQxHHf SkxfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0zfyEfSN/KV9I18Jn0x fTF9MX09d5++mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+ mL6Yvpi+mL6YvpGPpG/kK+kb+Uz6Yvpi+mL6+h0F+mL6Yvpi+mL6Yvpi+mL6 Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6YvpGPpK+ka+kb+Qz6Yvp i+mL6et3MeiL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL 6Yvpi+mL6YvpG/lI+ka+kr6Rz6Qvpi+mL6av3zmhL6Yvpi+mL6Yvpi+mL6Yv pi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpm/kI+kb+Ur6Rj6Tvpi+ mL6Yvn63hr6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Y vpi+mL6Yvpi+kY+kb+Qr6Rv5TPpi+mL6Yvr6HSL6Yvpi+mL6Yvpi+mL6Yvpi +mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+kY+kr6Rr6Rv5DPpi+mL 6YvzfTH5Pop83T1fp83X9fJ1oHzdIK8z53XJ/C99MX0xfTF9MX0xfTF9MX0x fTF9MX1jXpf0jXl80jfqNknfqNMlfSMfSd/IV9I38pn0xfTN9iUG5/uc8n0x +T6KfN09X6fN1/XydaB83SCvM+e65n/pi+mL6Yvpi+mL6Yvpi+mL6YvpG/P0 pG/UZZK+UYdL+kbdNekb+Uj6Rr6SvpHPpC+mb7bPNDjft5bvc8r3xeT7KPJ1 93ydNl/Xy9eB8nWD/Hua65r/pS+mL6Yvpi+mL6Yvpi+mL6Zv1F2SvlFnS/pG XTXpG3X0pG/kI+kb+Ur6Rj6Tvpi+2b7h4HwfYr5vLd/nlO+LyfdR5Ovu+Tpt vq6XrwPl1938e5rrmv+lL6Yvpi+mL6Yvpi+mL6Zv1NGSvlE3TfpGnTzpG+si Sd/IR9I38pX0jXwmfTF9s33gwfm+0nwfYr5vLd/nlO+LyfdR5Ovu+Tptvq6X 30fz627+Pc11zf/SF9MX0xfTF9MX0xfTN+qiSd+ogyd9Y90j6RvrXEnfyEfS N/KV9I18Jn0xfbN9/cH5PuF8X2m+DzHft5bvc8r3xeT7KPJ193ydNh8X5ffR /Lqbf09zXfO/9MX0xfTF9MX0xfSNOnfSN9Y1kr6xjpX0jXXLpG/kI+kb+Ur6 Rj6Tvpi+2TmN4Hzfd75PON9Xmu9DzPet5fuc8n0x+T6KfN09H+fm46L8Pppf d/Pvaa5r/pe+mL6Yvpi+mL6xbpH0jXWqpG+sSyZ9Yx066Rv5SPpGvpK+kc+k L6Zvdu4mON/Hn+/7zvcJ5/tK832I+b61fJ9Tvi8m30eRz1vycW4+Lsrvo/l1 N/+e5rrmf+mL41xh4jhHmDjODVqHck7QuqNzgdaZnQO0r8C5P/lwzk++nOuT T+f4EtM3O0cVnJ/LyPfx5/u+833C+b7SfB9ivm8t3+eU74vJ56H5vCUf5+bj ovw+ml938+9prmv+l76Yvpi+sa6Y9I115KRv7BtI+sY+kaRv5CPpG/lK+kY+ k76Yvtm5uOCfS8/pmuN3d7Hf/Z5Rek5v2DF7lYp/m2eyY3bPVWDH7F5vdul5 FREfi4f5Y/7NSs8HCX/MH/PH/C8oPY8l/DF/zB/zn196/k34Y/6YP+bfpfS8 ofDH/DF/zH916flO4Y/5Y/6Y/4TS87TCH/PH/DH/3qXnl4U/5o/5Y/7+8sf8 Mf/cz+9E88f8MX/M3+9K88f8MX/M3+9Q88f8MX/M3+9W88f8MX/M3+9c88f8 MX/M3+9i88f8MX/M3+9o88f8MX/M3+9u88f8MX/M3+9088f8MX+cf+7yv/wx //xz2rxCz+rhh/lj/pj/xaXn7Yc/5o/5Y/6LS79vEP6YP+aP+Z9V+j2J2fwx f8wf89+54v18H/6YP+aP+X9a+r2U8Mf8MX/M/4iKeJ+GP+aP+WP+Yyr4nfDH /DF/nF+n8s9N/pc/zu9z+X0rvw/l95X8PpFf9/PreH5djvFV9jnNP3f55yj/ XOQ657rlOuR5jTwZXyX23Hvsue7Yc8ux53Jjz53GnquMPTc48pOeixv5S899 jf4bXyX2HCQc4yvx0+fDeX7s/LfPCzuO8+7/f9xgdp8ndszu9YzjxY9xfYqH +WP+xv38Yx6Q/DF/zN88gX/MG5I/5o/5m1fwj3lG8sf8MX/zEP4xL0n+OH53 LzF/8xb+MY9J/pg/jutTmufE9cm8x+cqcVyfEvM3L+If86Tkj/lj/r7n/PPv PeaP+dvvzT/2syd/zB/zt5+Yf+yXTv6YP+Zvvyr/2I+b/DF/zN9+SP6x3zP5 Y/6Yv/12/GM/YfLH/DF/+7n4x3615I/54xgfpP1CMT6wHyr54xgfJOZvPwr/ 2G+T/DF/zN9+B/6xnyP5Y/6Yv/V0/rFfIPlj/pi/eT//qAMkf8wfx/ws1Qli fqZukPxxzM8S81dX4B91huSP+WP+6hD8oy6R/DF/zF/dgn/UMZI/5o/5q3Pw j7pH8sf8MX91Ef5RJ0n+mD/mr47CP+oqyR/HcyUTx/gqjQtifJWNE3CMr7Ln iGiX37fy+1B+X8nvE/l1P7+O59fl/HOaf+7yz1H+uch1znXLdcjzGvWpxFGf Shz1qcRRn0oc9anEUZ9KHPWpxFGfkg/1qcRRj0r8whmvnN69vO2c9RV6TZtt PKxeRD+s/e8PK7tl0RXt5jzS+ncXXHJui2DjRe29fyy++pP4WHx/xcfiay8+ Ft9f8bE4Tcacv/f0tkV8LL724udxzRPEx+Kf90DTLXcevn3Ex+JrLz4W37xD fCz+y6/MevuO+W0iPhZfe/Gx+OYxsf8msfitV/7h/poti/hYfO1jf0pi8c2L xMfif9Gw7Itvl5RFfCy+9uJj8c2zxMfi3933/OsXXdE64mPxtRcfi2/eJj4W /6g7Z3WY3rZVxMfiay8+Ft88UHws/o/v1XvjjvktIz4WX3vxcV6XzecR+fcq /yu+9uLndWL1O/Gx+AMGPlH/5AbNIy4WX3vxsfjqe+Jj8WtN2vxU5+lNIz4W X3vxsfjqf+Jj8Z//9JgTyk5uEvGx+NqLj8VXHxQfi392xXyxUcTH4msvPhZf /VB8LH7Liv9vGPGx+NqLj8VXXxQfi/9axX27QcTH4msvPhZf/VF8LP7aivv+ NhEfi6+9+Fh89UnxsfjHV4wb6kZ8LL724mPx1S/Fx+I/XTF/qxXxsfjai4/z dZi8biB+/Yr52VYRH4uvvfj5uo46k/hY/AsrxhXVIz4WX3vxsfjqVnF+JrH4 b1S0qxrxsfjax/mSxOKrg4mPxT+54n6xebb4WHztxcfiq6uJj8VvXjE/2hDx sfjai4/FV6cTH4u/uOL7vjbiY/G1Fx+Lr+4nPhZ/l4px7qqIj8XXXnwsvjpi PP8lsfgPVOj1UcTH4msfz0dJLL66pPhY/N9UjLPLIz4WX3vxc//nOr7W/t5F xXi2wfFDN9TZuRjPsmP2gRV1la3Djo1/cd7e66hnGg+rZ2J241n2fHx81kUt X7vikuI+jr1ezsa34oeOKX4+Pn5x3Ny7V79ejF+xeDkb34pvPCt+Pj5uMf3s c35XVsTH4uVsfCu+8az4+fh4yLsNO5dfWIxfsXg5G9+Kbzwb+52z8fGt3wxv Mfqa7SI+Fi9n41vxjWfFz8fHv+n0yvNn7laMj7F4ORvfim88K34+Pv724qan dC8vxq9YvJyNb8U3nhU/Hx/f99wfftpp+LYRH4uXs/Gt+Maz4ufj4+M3TZ9Q s2UxPsbi5ayd+FEXTvHz8XHVQ7fq+sWsYvyKxcvZ+FZ841nx8/Hx01ef+OHr ZzYrxgeJxcvZ+FZ841nx8/HxGS9NHv14zWJ8jMXL2fhWfONZ8fPxccOt1re7 6fHGER+Ll7PxrfjGs+Ln4+O5FXWKYnyMxcvZ+FZ841nx8/Hx0Io6VDF+xeLl bHwrvvGs+Pn4uG1FHat+xMfi5Wx8K77xrPj5+Pi+ijpYveL7lTi+Xxkb34pv PCt+Pj6u+vD/1tFqF5//xPH5z9j4VnzjWfHz8XH+vcS/9Nf4VvxYx0nx8/Hx nIo6WI2Ij8XL2fhWfONZ8fPxcVnF/XrLiI/Fy9n4Vnzj2TivnI2Pr6y4n1WJ +Fi8nI1vxTeeFT8fHz9fcb3eFOMnHNeDjI1vxTeeFT8fH4+suB79EPGxeDkb 34pvPCt+Pj7er+L79k3Ex+LlbHwrvvGs+Pn4eEVFu5URH4uXs/Gt+Maz8by9 bHz8SkW+lkZ8LF7OxrfiG8+Kj8VTz+WPvb71au2x9tavsXE4VsfH6vhYHR+r 42N1fKyOj9XxsfVQbH0TW6/E1h+x9URsfTDyndb7sPU7bD0urltpfQ1bL8PW HbB1B2zdIe7vad0BW3fA1h2wdQds3QFbfzGup695gfmL+RL7raXreFd2/j4P /M1v+LPzZ8/r8Pz95c/On52/z5v/N//gz86fnb/PJ3/zC/7s/Nn5+zzzN3/g z86fnb/PP3/zA/7s/Nn5+77wN/7nz86fPeZ56fvF3/g+5uPJzp+dv+8jf+N3 /uz82fn7/vI3PufPzp+dv+87f+Nv/uz82fm7PvA3vubPzp+dv+sJf+Nn/uz8 2fm7/vA3PubPzp+dv+sVf+Nf/uz82fm7vvE3vuXPzp896nnpesjf+DXqdcnO n52/62d8ftL4lD97fH6Snb/rbeifxp/82UP/ZOfv+pzXRfiz82fn73rO3/iR Pzt/9lhvS9d//saHsZ6W7PzZ+btf8Df+48/On52/+wt/4zv+7PzZ+bsf8Td+ 48/On52/+xd/4zP+7PzZ+bvf8Tf+4s/On52/+yN/4yv+7PzZR5Z+bzHufz+W fs+x2B+Yfl/S/bNmk7X/O08+lP2jvSrscX/0e5Da+z1H7PVi3SK9HhYfi4/5 ux/yx/wxf8zf/ZA/5o/5Y/7uh/wxf8wf83c/5I/5Y/6Yv/shf8wf88f83Q/5 Y/6YP+bvfsgf88f8MX/3Q/6YP+aP+bsf8sf8MX/M3/2QP+aP+WP+7of8MX/M H/N3P+SP+WP+mL/7IX/MH/PH/N0P+WP+mD/m737IH/PH/DF/90P+mD/mj/m7 H/LH/DF/zN/9kD/mj/lj/u6H/DF/zB/zdz/kj/lj/pi/+yF/zB/zx/zdD/lj /pg/5u9+yB/zx/wxf/dD/pg/5o/5ux/yx/wxf8zf/ZA/5o/5Y/7mn/wxf8wf x++rl34feU783nnp95XnxO/Vl35vOuzjSr9XHfafS7/fHfavSr//HfZ+pd9D D/vhpd9TD/uU0u/Lh/3e0u/Th71OtbPuGfv5dmFfe/qd+6xrWthnHvFc57Nv LAv7nTWurvnGW2VhP/e6rf/ba5/WYe/R882HnxjROuytFp501e5Ltg37+uu3 73VLq1ZhX1jvkTbbXNEy7A+9MeSroS+2DLu/7P0bzP1rnz8U/99h3FFnvvVK s7DX7NNwz/1qNw/7ssV3V5t6TtOwzxh/RnmzJ5uG/YYWXz5we/0mYR/8n6eH bOjTJOydTzn4yBHTGoW9eastGy3d0CjsX024fmX/AQ3DvuC0E6bOnNAw7Pd+ uPS6gzbXD/vIf0zqO6Fbg7CP79G/3wE9tgn7sQtWrNpcvk3Y1/1r/Z0bb6kT 9im/HdtxXsu6Ye9zwl1LZy3dOuz13m5/0TWDaoV96pIDy0bvuFXYz+3/6rSe U7YKe8PT3hvY/YJqYV/4/lnr66yvFvahH186qeZzW4R91zNrHVx+WNWwT3xz v4V3VP95NnvjN/tu3KnZ5vj8n7ZsxHFld60Pe/nS8aMef2RD2FutmLH4/g7f hf3Gz96t3qnL2rBP//i7Z/uN+jLsd3+0V9Phk1aFfe8Nw+eeOfmDsDdd/0yb 0a99FPZnD/pgn3kHzg/7UfsteazzK/+e7fdTD51w2uJBr7ebg++YXWPyO62L 3w1/45nzXj2k0u+K7/ROk7unbGw7x++T88fL377u49rXFiwe9jr+fv3BlBFH XNg24l9Z+t3laM+Ob2r63phVuxX+R1Y9scezc7cP/8Wl33WO9ux4xf6j+552 5fbh//d2m5u3b1L471H63ehozx7v96Rdd/p3eZvw/+HwyZ/f+cc24X9N6Xep oz175OPSt9Yd2q7wv3fhhGGNhm0X/jNLv3sd7dnxB/t/f+PpX5aF/9HbfN3k ++Zl4X9u6Xe1oz07vvnS7h273dw6/Dcdd+izi19oFf6tSr/bHe3ZcdcXbn9z h31bhf9j427qP+OMbcN/Yel3waM9O16z+dOhNd5rGf6nvLt8w11btSx+p77q z8t7zWsR7dnxxN/s13jllS3Cv07Ljvdc9ljxO/Yduve+evfBzaM9Oz72z9dM e7Vd8/CfecqozqceV/zO/bJrJ7Tdpm6zaM+OqyxY3O/RBU3D/9y/l7/fZV3x u/c3vLZ63pqnmkR7dvxkrZ3X33Bek/Bv9VGbq9rc0zj8O9c99Pdv9Wsc7dnx wN+OuOv8ho3Df+EOQ9pU7doo/L865qYaUzc2jPbsuP7N8w869tmG4X/5H198 8eNPGoT/vbcun3z7xAbRnh3PeavZsr1OaRD+HR5pcObL19UP/6Pf2bPniO71 oz07vrDJ4CsabVE//Kf/Z17N3qfWC/91e1Z556lFdaM9O+7y5IWHfNGrbvg3 /d2gXg0m1w7/ftMmNhteVjvas+MJ+zYY9fjttcJ/2CfVbly0pmb4Ty39jnS0 Z4/vw/NPzb1w+Vbhv+isB8rvOKhG+Dee8+G9G5+qHu3Z4/Pc9fjqnXapHv57 f9290cljtgz/od1HL5+1sWq0Z8fPv/ztkT8MrRr+tw77rG/ZG1XC/63X2rYd 3b1KtGePeON3ajL8ks1x/f/ku7p7zdtz02z+Ayde8+pfyjbO1p4dr574x7s3 1vkx/O/7uff0nvPWhX/Zo/N7N3j6+2jPHteDRx/abvTEteE/cOubDy7v9034 L5tWc9Ed3ddEe3a8+Ny3ezYYvDr8D2p/39WPL1oR/vtefdvTnZ/+NNqz4+NH 9+1TdtPH4X/+ZT2aD//hP+F/xu67XXrb0+9Ee3Z8955PvNDv3DfD/8679p7W uelTs1238s8RLv7W/vJ//s4u/pb+X3zxJi5v++KkjW275vfF/D6X37fy+1B+ X8nvE/l1P7+O46hbZJ/z/HObfw7zz1X+Ocl1z3XMdcExD0ncZfmiZ3qW1Y58 fXBSpyHXLKob3PWLnnec3r1+8M2TN3x/1cQGRftBD/eZsLFhcMe2Jz0zs1/j 4FHLazZc+lST4PJ7Z1y4oU6z4DYDBv+72eDmwdZzzZPUC53XOXrWpWv2frhd tHfeWXufr6hH/v/t4vusHonVD7F6IFbfw+p1WP0Nq6dh9TGs3oV9TrB6FFZf iut7qhdh9Z+4fqd6DlafweotWP0Eq4dg9Q2sXoHVH7B6AlYfwOb72Pwdm49j 8+sYT2Tn6+gf8+/0eYm6b/ocRB03cdRlE0edNXHUTX0+1UHdd9U1E0edJ3HU bcwD1GESR10lcdRJ4nqU6h6Jo46ROOoSie33lY+oL2Tn72Lcl87fYefvsPN3 2Pm7GDek83dxvUvn7yI/6fwddv4O+772b/xym5t++3zMt879ssvxZQc/Gzxm 7ow/Pd5+6uxzS/Ozrj2HNLuv5q4vBf884IgbF10xNuov9hOLb36Fv5zydJe/ DSvWM7SP+sHk8hXNJxXrGez6fWzpOhR86Usv7nVxpfUO7WN+Ov+rLVaMKtY3 7GfO53X+disfsE29+cX6h/b6t2jByBnXfV987tn156HSfbC4r3x6VtUVldZL tNe/z1aOe+vEt4v1E+tG+pPPH+/5puoHV7Yo+qd91Fe+aHPdj0cW/WOP+9AW r9/SuBLvulXDt0+stB4T+wZS/7rUOmTSgh2L/tlPrT/5/PS7ho8++fU5xfqN 9vo3pvarJ51zd7Gew64//dtedMafK/Ho9s9PWlBpvUd7/Ru/26cXHTiyWP+x HzvqBdn8t1enE64eOKtYH9I+6k8dhuy67KtivYhdf57stu0+6yrxez3PGHZg pfUk7fVv9dF/PfyR14r1Jfu5o36Rza8n9d143Jv1i/5pr3+derfYePShRf/Y Y7z2+3lb/rESD1rc+C99Kq1Xaa9/R5y/b5NtWxf9sx9cf/L5+9pVR3Qf80qx vqW9/jVfPvqOy9oV62Xs+jOnzrsPPVGJG7f4/W77VVoP0z7qr9v98/Vmy4v1 MfvJ9SevD9zf8Y7Pfn9OsX6mvf4t2P7tA05dUKynsevPhcfsfNQtlfilk6ct bFZpvU37qO+eXvu8DX8q1t/sR9efvP7Q56IV1x5Zv1X0T3v9Gzmo3XtdzmsV /WOPcdutI74cWomHTah+/oZK63naR/34/pPrLW3fKvpnP7v+5PWNatP332WX acX6n/b6137yRZe1aVisJ7LHOHPR/Bv6VOIdPuy7zdJK64Xa69/RKx59Yua/ ivVD++H1J6+fTF1/7Wu1BhTri9rr35LP57Wq+myx3sge4+JmzffYrxIvavfg kzMrrUfGc2NS/zbtsunYCUOL9Un76fUnr88MOnjJOV/9XKxfaq9/Yzs0nvXx yc2jf+wxji+Ny4PH/GHdcRMqrXdqr3+PnXv0t1c1ax79sx9ff/L6T+Mr29d9 Y1KxPqq9/h1wwaDfvVylWG9lj3lHaR4R3OnhI767qtJ6qvb6d8oT9952+sxi fdV+fv3J60svzRk55Ykexfqr9vq38qmpVSY/UKzHssc8qTTvCf7ky/HjTq+0 Xqu9/tX59qtO3U4v1m+dB4j5fla/Grblq8fcsqpY39Ve/+5cW+2+sUc1jv6x x7yuNE8LHrfHin27VVoP1l7/ZnY6ZPEONRpH/5wn0J+8PrbDES2+GXprsX6s vf712L9vt7O/LtaT2fVnTWleGXz4kP3f3aHSerP2MV4c8dcRNR4t1p+dR9Cf vP62aOxZt/bZv0H0T3v9W3/JA5/0Gtcg+seuPxNL8+Dgtc9cO7LGd8V6tvb6 1+r595uvPKZB9M95Bv3J63s177joj+fOKNa/tde/h2Z+/+fdDyzW09ljfFqa txfzllVP7FNeab1c+1if23DysNs+L9bPnYfQn7x++IdWjR/Zs2rd6J/2sX74 8/W9y2bWjf6x68/PpTpDUScZeuzFt1Vaj9de/9ZduWl6v33qRv+cp9CfvD75 yj+mfvVtr1rRP+31r96YDrd8WL129I9df04r1UWCq61fM6NfpfV+7fWvX7W/ bWhxRa3on/MYsV6Q1T932LnvntNvL/YHaB/ro1v/6+37j6kZ/WOPutSg4evq VOJBV9yysUWl/QTxnLHUv6nXHdL5/VeK/QXOc8R6QlZfHfPY90MuWV7sP9A+ 1l9vPK/p4LuqR//Yoy72RZMDyyvx3Kp7d3m/0n4F7WP9b5v/XjmxfvVi/0g6 D6I/ef32o73GT+28S9Vif0lqr3+7Nq530m4fVy32myR7zNcumH7ZbZW47di3 Rk2stB9Ce/0bOu7KF88cUDX65zxJ1KOz+vCY889bvfnTn2P9X3v9+8tdU+5Z 3aFK9I89xvNr+83qV4mrbvvZNfMr7bfQXv/u26dLzd49Nsf813kU/cnrz7+5 ZMpF11yyIfqnvf69dciEmWeu+jH2K7BH3XLt6i06VeI5O+5cp3el/Rza69/A Llf9ddHSDdE/51liPSyrb1cZ8/X6OnXXRv+017+beyw/7ItR30f/2GP8snnP a5+vxFd2HHzLokr7RbTXv7KecxqefMHa6J/zMPqT188vb336pp0OWxX90z72 b5zQZv6FjddE/9j1Z/XWQ+ocVolHXHz87tMr7UfRPvYfTK7acV711dE/52n0 J6/Pr9/74xqdBn8U/dM+5kcz5965+phPo3/s+nPiLoPa3VSJv7t+0f7zKu13 0V7/Or0w5qDyDh9H/5zH0Z+8/v/O9rd3r3bIG9E/7WN8P+m6I35YtSj6xx73 iysWnnxAJX7hzwO2PuyZYj+N9vr3uwfq/uX5yeWxH/b/zPvzeXY+r83nkfm8 LZ8n5fMS90H7gVI9LuYF+XU+v67m17H8upF/T/PvRf45zHXP85w49iul/vrr /+0fxp6PGuPO9HzUGCen56PGuD49HzXmIen5qDFvSs9HjXym56NGvtN5MOz5 a9jzUfP1gX3m7XvZ2+8X9cDrP3m/1+Edi/pf+fjLr/pgQ8H3vdbsrROfKLj9 jB2OPe7ogn/8cvZ9C7Yo9kOr/1U7suLzN+ej6XfeNeXdgm9+ZOOz171ZsP1d WL1QPPU69oOWdD17u12L9itfnzT2x3YF2w+G1fd8X+5/fKexP1ZaH9n0xhv9 zzm+qFfqL9Zf7PWx17de4/2rz8onlk9svxtWfxXP+2eXfyz/2P44rF5qv7n+ WU/wecDqw9p7fXafF6xe6/P0cfVrWk0bXdRDR/1nYZu5Ewo+vu7giw7s0zb0 jX36Sa9bN6w86ObLC+66qtdJ51xcsP18WH2Unn3WXLzLsvuL+ql4WDz59fry pb9Yf6PenvYXYvVe+RJPfuQDqx/L18E777Fqx3eK+uySH4d9s/c3BT+yR/3D H3lw+8iX67b3/0XLW2pv8e+C76y3dpdlCwq2vxGr18rXYw22+/HoH4p6rngx P0rx5Mvre//6i/UX22+J1Z/lSzz5kQ+sni1ft/VY/ML4nYv8dGzVeu6kbgVX PXZG4203tIl8ua95/7/pfOCyIdsX+Viz570/Hr1twfZ7YvXjmA/tM/+1F3oW +REPiydfXt/711+sv9j+U6weLl/iyY98xHpmqq/Hes9ZV9641aVF/XrsIS/f 2nh8wQOGDPz0+l5Fvtz3vf+7T/3wsY8uKrjHcYe//sJ5Bdv/itWz5euUPhfc s8e9Rb1bvNj/muLJl9f3/vUX6y+2Hxerz8uXeHF9S/nA6v3yNbbpb2etubOo p8954b1Xar1Z8KAdG5y74eDtIl/GRd7/Jz813PjgDQV3/XTJ/qeOKth+4Lj/ pfp6rKN+uceSLu8X9Xfx4vqV4smX1/f+9RfrL7Y/GVsvkC/xYj065QNbf5Cv A0762+/eOqTY33xhld0GfzW84MaDT6+79IPWkS/jxrhfdz3z3rF7FflYs/Mu /+myY8H2R8f1P9X75av5Hldd0mZ0sd9avPg+pnjy5fW9f/3F+ovt18bWL+RL PPmRD2w9RL5W3rOqytSPivWGNt0u2/qNlsX6yEuPPDVl5p9bRb6Mq+N6/qdn Djl7ccETz77k0javFWy/eFzP0vpDrLNf+O+WVXcu1k/Ew+LJl9f3/vUX6y+2 fx1bT5Ev8eRHPrD1mdgv9d9D7rv92mL9o/zPrz/yxOyCh63a4tgJu24b+TLv iOvTy1su73VZwcc+/uq2VS8o2P55bD1EvkY+s93Mj18v1kvEi/3nKZ58ef0Y /6X+Yv3F9vPH+C6t78iXeLHfK+Uj9oek9SL56rH9jd1GdCjOA4xasO3Rtwwq eIeOx39z1b9bRL7iOdHp/d9fs8+o3dsU+aiypsULHzcq2HkCbH1Gvtqvu+DU ly8szieIh8WTL68f46/UX6y/MT5WJzT+SOtN8iWe/MgHtn4V9YIz//tJ/zeL 9aGOtc9dNXTrYj1r0dD7bj19WPPIl/Uf779Pr/u33+blgp/c++zTXp5RsPMV 2HqRfC05YM7PDzYp1rvEw+LJl9eP8UTqb4z3U39jfJrOe8T9NK1/yZd48iMf 2HqafD304B7XHHRxsV71wW9n3thnSsFjpn27T7cWzSJf1qO8/2o3rp275qyC Bw5/fvODpxbsvAm2fhX7gC6rP3Hs88X6lnhRb0vx5Mvre//6G+PR1N8Yb6Xz L9h6nHyJJz/yga3vxf6ez6/cudW2xfmZm2+u03G/EwrutP437+wwq0nky/qY 9z+1/PBBb9Ur8lF/Rq1/jK1asPM32HqafB0wa+BhZ/+uOM8jHhZPvry+96+/ Mb5K/cXOA2Hrg/IlnvzIB7beGOs/Hf694KfZxXpe17dPebPZ+oI/Oei2i2uc 2TjyZb3O+x/U6PbqU58peM6PA35z9uSCnUfC1vfka2WVpz7qVa1YnxQPiydf Xt/711+sv9j5KGy9Ur7Ekx/5iP3laf1Tvmacv93ZywcV56vWNHl86IZ7Cx53 xcfNVm7VKPJl/dD7b9zv0wdv71/k48JDHv2419EFO5+FrTfK153dthiz+8PF eS/xsHjy5fW9f/3F+oudF8PWT+VLPPmRD2w9Vr4GP3VB7Re3LtZjJ/b/qdHS wwo+fM4+z736WIPIl/VM7/+lO/ftMeKngtuM2jhm928Kdl4NW/+Urx7XHLfj Nr2L9VvxsHjy5fW9f/3F+oudn8PWc+VLvNjPmvIR5w/S+rB8NV87+7H7phTr r8fe89tpMz8reG3VMQMePa5+5Mv6qvc/bOmfP+9/X8Hlc3vttM34gp3fi/lR Wo+Vr/UL/vHKmm+L9Vrx4nxciidfXt/711+sv9h5Qmx9Wb7Ekx/5iO9nWq+W rxvPa3Nvzcn1Ij9VZh78eOdmxfnEI65/6IcWq+pGvqz3xvy582NNht9YL/jn Wgfc9OHwgp1nxNaHY/272Sf/vn/P4nykeFg8+fL63r/+Yv3FzldGvSKtd8uX ePIjH7FfO62fx/rct3P++/qaYn36tMOWfb15YJ3ivG/9nge9v1/tyJf1Z+// wReP7n/AkoJPu3nJm/fPLtj5Tmy9Wr6m3Dum4eBLivOi4mHx5Mvre//6G/XX 1F/svCm2/i5f4sV5mZSP2L+e1vPj/N7I07e/6aCtIz+zXrl873mPFFxt/OeX TxxVM/IVv/ti/JX9ndnkksaDty7YedcYf6T1c/mq13bHvrvNK87PRp3dfpkU T768vvevv1h/sfO3Mf9O+wHkS7w4r5jyEdf7tL8g1ld/2mLQ8WNqFOerj249 /Jq1BQ/a9i+zz3yteuTLulOMJxb+9f1Z59Qoruf3tDhxtxMKdv437qdpPT/O zUx++Y7VdYrzxOLF/pgUT768fsynU3+jnpP6i51Hjvlk2p8gX+LFeaqUD2y/ g3zV+tN9DzZ5Y8tiP/ibLzzbs0txvnnuxF2r7tx4y8iXdTnvf+5xe7QZPW3L 4EvbPH/X6nsLdh4a218Q54g6/OG9p/oV56vFw+LJl9eP+WHqL9Zf7Hw2tl9C vsSL8xspH9j+C/k6u2a3z5c02yLy816/036sM7bgtju9fvgXp1aJfFm39P7b vvvGGd03F/zeAwOWPfVZwc6HY/sdYv/40zVaD59YnDcXD4snX17f+9dfrL8x 3kjn1bH9G/IlnvzIR3y+0n6Q2C+87fwTD5i3Kda7h8346ZKJk34KrnLiu/VO PmbjbPmyruv9V33uv0c1uHVT8NB+6w75YmDBzsvH/DLtv5Cvhhf0nn3hop9i fVy82O+S4smX14/6Tepv3C9Tf+N+kM7vY/tJ5Eu8OF+d8oHtT5Gv3jvVfH9W vx+K8/vzumzeaf/1wbNObz7uw4++j3xZ9475z7ztyu/Y8YfgjqfvP+/CteuC PT8A2w8S+4kvuenwH/5YPI9APCyefHl9719/4/qf+hvXt/Q8g5hvpv0t8iWe /MhHnIdK+2XifPdePc/o/sU3kZ81/7pqzOOvfRt8+bkntRh88ZrIl30B3v+V bwzsW/bcN8GrzxnZ44drC/Y8hahXpP0p8nXjmPJXr9j4beRHvDiPkOLJl9eP +VDqb1zPUn+x5zvE+nHabyNf4sV59pSPOJ+d9u/I17gRjf99x8aVkZ8BT13d aPDML4rv5+pOh7zf6LPIl30T3v/FT3eb1vOulcH9Vw29Z+N+BXu+BLZfRr7u Kms3oWZZ8bwK8eL5JSmefHn9WA9K/Y3vZ+pvfP7S8y5ivSPt/5Ev8eRHPqIe lvYTyVdZy92f6dl9WeTnsb9u1fmLV5YHf7DV+TctGr448mVfiff/8U3XX/X4 qKXBD1f/oleDme8Fe94Gtn9Hvpp0euChJt2L53eIh8WTL6/v/etv1MNSf7Hn f0Q9Ou1Hki/x5Ec+sP1N8uG8WjyfJ51XUyeOc1EpX/F7esaj6Twcdh6OX7ed /rbwL0++PNvfOEeS+ite1J/SeTv7BPJ18HydN1/HzNfp8nWofJ0lX0f4tXMa +bgxHxfl9/38vpZft/PrUv69yz9Xv7bPDH/2Q8W+4DjPeE1pH3Nw+9K+6+BP SvvEgzuV9rUHjyntww9eVDo3ELxD6ZxD8LDSuYzgVqXneAQvKNXVg4eWzikG v1Z6Tk1w2hcU7PPq/LTPn/PTvm/svi/s2juny47ZndNlx+zO7bJjdud42XHM y9K5XnYc+0HSOd+ohySOekQ69xv1gMRRf0jngKM+kDjm5+l8d8yPE8d8PJ33 jv0iidmd/2bH7M6Dx/0xMbvz4ew47k/pvDg7Znd+nB3H/S+dJ2fH7M6Xs2N2 581j/0xidufP2XHU/9O5a3bM7hw2O2Z3LpsdszunzY6jPpzObcf6eGJ257jZ Mbtz3bE+lTjqFOmcd9QLEsf6ZDoPH+Nxv0/7C+dsf+2c66+dM/21c56/ds7y 1845/to5w187B/Fr5xB+7RzAr+3D/7V98L+2D/3X9oH/2j5svF/puT1xvb65 VMcLXlJ6LlBwx1JdNLhz6blDwStLdebgG0rPNQo+oFS3D15Wem5S8NjSOkhw h9JzmYr+lNaVivtL6blPxf2ytE4XvLD0XKngkaV1z+Cy0nPVgteW9rEG5+cs 87/OxYce21fU9cLffc1f9zXsOo1dl7HrMHbdxa6z2HUVu45i1834/Yp0ncSu i7h+xf7pl+N9jK2YF30QXKd0nQnuUbouBf+ldB0LXlhR1/4peKvSdTLu/w+V rqvBPUvX4eDxpfte8Gel+2TwfqX7avA1pftw8OLSfTu4Uek+H/zP0rgg+MzS OCK4dmnc0fWXdM3/0hfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfT F9MX0xfTN8aHSV9MX0xfTF9M39Al6Rvfw6Qvpm/+PTXejLiJ6Yvpi+mL6Yvp i+kbv/uZ9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0jd8pTfpi +oY+SV9MX0zfsCd9zRfoi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvp i+mL6Yvpi+mL6Yvpi+mL6Yvpi+kb+iR9MX0xfcOe9DXfoy+mL6Yvpi+mL6Yv pi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mb+iT9MX0 xfQNe9LXfJ2+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+ mL6Yvpi+mL6Yvpi+mL6hT9IX0xfTN+zGeaneEuOCxPTF9MX0xfTF9MX0xfTF 9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfQNfZK+mL6YvmE3 rk/1shgHJqYvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yv pi+mL6Yvpi+mL6Zv6JP0xfTF9A170le9k76Yvpi+mL6Yvpi+mL6Yvpi+mL6Y vpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6YvqFP0hfTF9M37Elf9Wr6 Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi +mL6YvqGPklfTF9M37Anfa030BfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfT F9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTN/RJ+mL6YvqGPatD5nWr/C99MX0x fTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfWOckvSNcWnSF9MX0xfT N+pKSd/QJ+kbdeOkL6bvL9WV8zpkrmv+l76Yvpi+mL6Yvpi+mL6Yvpi+mL6Y vpi+mL6Yvpi+mL6YvjHuTPrGPCPpi+mL6YvpG3XCpG/ok/SNdYCkL6bvL60T 5HXl/Hua65r/pS+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpm/MI5K+ MW9M+mL6Yvpi+kbdN+kb+iR9Y10n6Yvp+0vrPvk6QX7dzb+nua75X/pi+mL6 Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6xrww6Rt1gKQvpi+mL6Zv1PGTvqFP 0jfW6ZK+mL6/tI6Xr/vk99H8upt/T3Nd87/0xfTF9MX0xfTF9MX0xfTF9MX0 xfTF9MX0xfSNeX7SN+o6SV9MX0xfTN9Yl0n6hj5J31h3Tfpi+v7Sumy+jpeP i/L7aH7dzb+nua75X/pi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6YvpG3SbpG3W6 pC+mL6Yvpm+ssyV9Q5+kb6yjJ30xfX9pnT1fl83Hufm4KL+P5tfd/Hua65r/ pS+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Zv1OGSvlF3Tfpi+mL6YvrGumnSN/RJ +sa+iKQvpu8v7ZvI19nzeUs+zs3HRfl9NL/u5t/TXNf8L30xfTF9MX0xfTF9 MX0xfTF9MX0xfaOumvSNOnrSF9MX0xfTN9bBk76hT9I39rkkfTF9f2kfTL5v Ip+H5vOWfJybj4vy+2h+3c2/p7mu+V/6Yvpi+mL6Yvpi+mL6Yvpi+mL6Rp08 6RvrIklfTF9MX0zf2NeQ9A19kr6xbynpi+n7S/ua8n0weV0hn4fm85Z8nJuP i/L7aH7dzb+nua75X/pi+mL6Yvpi+mL6Yvpi+mL6xrpH0jfWuZK+mL6Yvpi+ sU8l6Rv6JH1jH1rSF9M336dmvy59MX0xfTF9MX0xfTF9MX0xfTF9sX5j+mL6 Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6YvqGPklfTF9M37Anfe23pi+mL6Yv pi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+m b+iT9MX0xfQNe9LXfnn6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6 Yvpi+mL6Yvpi+mL6Yvpi+mL6YvqGPklfTF9M37AnfZ13oC+mL6Yvpi+mL6Yv pi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mb+iT9MX0 xfQNe9LXeRX6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6 Yvpi+mL6Yvpi+mL6YvqGPklfTF9M37DbR5/OG8W+68SxjpU41j0SR508cdRV E0cdLnHUbRLHPD9xzAsTxzwicYw7E9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfT F9MX0xfTN/RJ+mL6YvqG3bmOdF4szgEkjnXVxLEOlzjWbRJHnT9x1IUTRx0x cdSdEkedInHMaxPHPCgxfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX0xfTF9MX1D n6Qvpi+mb9idu03n/eJcbeI4J5o4zoUmjnOgiePcZ+I455k4znUmjnOciePc ZuI4p5k4zmUmpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Zv6JP0xfTF 9A170td5Tfpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi+mL6Yvpi +mL6Yvpi+mL6YvrG70snfUOfpC+mL6Yv9rsRfm8C+3t36Tle8XsUmH116Tm+ Ycd5HL+3wB9rj7X3ewPaY+2x9p63rz3WHmvvefPaY+2x9p63rj3WHkde0vPG tcfaY+09b1t7rD3W3vOmtcfaY+09b1l7rD3W3vOGtcfaY+09b1d7rD3W3vNm tcfaY+09b1V7rD3W3vNGtcfaY+09b1N7rD3W3vMmtcfaY+09b1F7rD3W3vMG tcfaY+09b097rD3W3vPmtMfaY+09b017rD3W3vPGtMfaY+09b0t7rD3W3vOm tMfaY+09b0l7rD3W3vOGtMfaY+09b0d7rD3W3vNutMfaY9dVHPffxHF/Tux7 iX3vsO8V9r3BvhfY5x77XGOfW+xzieN+nPiGivvxO/F7Xa9V8KfBk0s6BH9e Yf8+eLfS5yB4eulzFPnqX/ocBq+v8K8eHPfjxF1K18ngG0vX2eD/lq7TwXuU rvPBs0v3ieA/lu4zwduU7lPBz5buc8FxP+afPh90xXT3eWHH7D4/7JhdPOdT +WPtsfbOO2qPtcfaOz+nPdYea+88lvZYe6y98z3aY+2x9s6LaI+1x/H9T+cP 4vufOL7/ibW3n117rD3W3v5o7bH2WHvjbO2x9lh743DtsfZYe+N07bH2WHvj eO2x9lh743ztsfZYe/MA7bH2OO5PaZ4Q96fEcX9KrL15hPZYe6y9eYb2WHus veue9lh7rL31KO2x9jjGr2l9I8aviWP8mlh79XLtsfZYe/VX7bH2WHv1PO2x 9lh79SHtsfZYe/UG7bH2OH6HMM1ftcfa47gfp/lQ3I8Tx/04n++m63XMd92P zHcTx3w3ccx3E8d8N3HMdxPHfDdxzHcTx/w2ccxvE8f8NnHMbxPH/DZxzG8T x/w2ccxvE8d8NnHMZxPHfDZxzGcTx3w2ccxnE8d8NnHMZxM3f/t/3/+0Q9dX 6DNt9rQzXjm9e3nbrth4yDiKfth4BMsnFv/3h5XdsuiKdnN+U+G/dVecz4Py 67D4WPwYh6f4L5T6HfGx+ObH4mPxsfhY/CZjzt97etsiPhbffFp8LD4WH4t/ 3gNNt9x5+PYRH4tv/i0+Fh+Lj8V/+ZVZb98xv03Ex+Kbr8d6fWLxcayXJxa/ 9co/3F+zZREfi29+Lz4WH4uPxf+iYdkX3y4pi/g45tWpHhD39cTiY/Gx+Hf3 Pf/6RVe0jvhYfPUD8bH4WHws/lF3zuowvW2riI/FV28QH4uPxcfi//hevTfu mN8y4mPx1SfEx+Jj8bH4j7T+3QWXnNsi4mPx/RUfi4/Fx+IPGPhE/ZMbNI/4 WDvzMPGx+Fh8LH6tSZuf6jy9acTH4pvXiY/Fx+Jj8Z//9JgTyk5uEvGx+OaJ 4mPxsfhY/LMr5iONIj4W37xTfCw+Fh+L37JivtIw4mPxzWPFx+Jj8bH4r1Xc hxpEfCy+ebH4WHwsPhZ/bcV9cJuIj8U3zxYfi4/Fx+IfX3Efrhvxsfjm7eJj 8bH4WPynK8YBtSI+Fl/9SXwsPhYfi1+/Ypy1VcTH8T1M9SrxsfhYfCz+hRXj tOoRH4uvvhX77ROLj2O/e2Lx36i4H1eN+Fh89bA4p5lYfCw+Fv/kivvN5tni Y/HVz8TH4mPxsfjNK+YrGyI+Fl+9TXwsPhYfi7+44nqxNuJj8dXnxMfiY/Gx +LtUzFdWRXwsvnpePC8isfg4nteQWPwHKvT+KOJj8dX/xMfiY/Gx+L+pmK+U R3zse2i8al6J8zpxPu8U/7mOr7W/d1Ex3m1w/NANdXYuxrvsmP3u0n007Nj4 GOftjW/Vw/RXPQwbz4uPxefv/fDH2nt97PXlx3hZfvLx81kXtXztikuK8TP2 fnI2vtY/8fQP6w9/zF//jLf1Lx9/vzhu7t2rXy/G31h/cjY+1z/x9A/rD3/M X/+M1/UvH7+3mH72Ob8rK/qH9Sdn43v9E0//sP7wx/z1z3g/9s9m4/8h7zbs XH5hMf7H+pOz+YH+iRf7TxPrD3/MX//MF/Qvnz/c+s3wFqOv2S76h/UnZ/ML /RNP/7D+8Mf8Y90pzTeijpXNP37T6ZXnz9ytmN9g/cnZ/ET/xNM/rD/8MX/9 M1/Rv3z+8u3FTU/pXl7MX7D+5Gx+o3/i6R/WH/6Yv/6Z7+hfPv+577k//LTT 8G2jf1h/cjY/0j/x9A/rD3/MX//Ml/Qvnz8dv2n6hJoti/kZ1p+cza/0Tzz9 w/rDH/PXP/dR/cvnX1UP3arrF7OK+RfWn5zNz/RPPP3D+sMf89c/8zX9y+dv T1994oevn9msGB8n1p+cze/0Tzz9w/rDH/PXP/M9/cvnf2e8NHn04zWL+SXW n5zND/VPPP3D+sMf89c/80X9y+ePDbda3+6mxxtH/7D+5Gx+qX/i6R/WH/6Y v/6Zb+pfPv+cW7G+Vsxvsf7kbH6qf+LpH9Yf/pi//pmv6l8+fx1aUTct5q9Y f3I2v9U/8fQP6w9/zF//zHf1L5//tq2o+9aP/mH9ydn8WP/E0z+sP/wxf/0z X9a/fP58X0Xdul5xfU4c1+eMza/1Tzz9w3F9Tv5xPUz++uev/uXz76oP/2/d vXZx/Usc17+Mzc/1Tzz9w3H9S/5xvUn+2pmv618+fx9Y6lf0D+tPzub3+iee /mH94Y/5R57SfF//8vn/nIp1mxrRP6w/OasP6J94+of1hz/mr3/qBXGuM6sf lFXMh7aM/mH9yVl9Qf/Ei/PnifWHP+avf+oNcc4yqz9cWTEerxL9w/qTs/qE /omnf1h/+GP++qdeoX95/eL5ivHappg/47ifZay+oX/i6R+O+1nyx/z1T71D //L6x8iK+/kP0T+sPzmrj+ifePqH9Yc/5q9/6iX6l9dP9qu43n8T/cP6k7P6 iv6Jp39Yf/hj/vqn3hLPz8zqLysqrgcro39Yf3JWn9E/8eL5k4n1hz/mr3/q NfqX129eqWi3NPqH9Sdn9R39E0//sP7wj/lSVi+yHio+1j/7hbSP/UWpvf1D 4sd+pGS3X4g99hclu/1B7LGfKNntB2KP/UPJbv8Pe+wXSnb7fdhjf1Cy29/D HvuBkt1+HvbY/5Ps9u+wx36fZLdfhz329yS7uh977OdJdvsI2GP/TrLbV8Ae +3WS3T4D9tifk+z2HbDHfhyfv7QPIT5P9t8ku30J7LHfJtntU2CP/TXmg2nf Qszv7KdJdt8b9tg/k+z2v7DHfplkt9+FPfbHJLv9LeyxH8Z8K+1nifmT/S/J bv8Ke+x3SXb7Vdhjf0uy25/CHvtZkt1+FPbYv5Ls9p+wY/NU31fzVPVS9WX2 oyquu+VR7+Xv+8xfvZQ/O392/r7v/NUz+bPzZ+fvesBfvZE/O392/q4X/NUD +bPzZ+fvesJfvY4/O392/q43/NXT+LPzZ+fvehR1jFTv4s/Onz3WL9L1ir96 VKxfJDt/dv6uZ/zVi/iz82fn73rHXz2HPzt/9nzdnb+//Nn5s/N3vfT/6iH8 2fmz83c95a9ewZ+dPzt/11v+6gn82fmz83c95m++z5+dPzt/12v+5uP82fmz x/pmup7zN1+O9c1k58/O3/U+Pj9pPsufPT4/yc7f/SD0T/NN/uyhf7LndUH+ 5oP82fmz83c/4W++xp+dP3vsP0r3G/7mU7H/KNn5s/N3P+JvvsOfnT87f/cr /uYj/Nn5s/N3P+NvvsCfnT87f/c7/sbz/Nn5s/N3P+RvvM2fnT87f/dL/sbD /Nn5s48s/f5w3P9+LP0ec7DfO3b/rNlk7f/WNeN++NFeFfYYD/s9Z+39vjH2 eu6HXg+Lj8XH/N0P+WP+mD/m737IH/PH/DF/90P+mD/mj/m7H/LH/DF/zN/9 kD/mj/lj/u6H/DF/zB/zdz/kj/lj/pi/+yF/zB/zx/xjH1Dyx/wxf8zf/ZA/ 5o/5Y/7uh/wxf8wf83c/5I/5Y/6Yv/shf8wf88f83Q/5Y/6YP+bvfsgf88f8 MX/3Q/6YP+aP+bsf8sf8MX/MP+rcyR/zx/wxf/dD/pg/5o/5ux/yx/wxf8zf /ZA/5o/5Y/7uh/wxf8wf83c/5I/5Y/6Yv/shf8wf88f83Q/5Y/6YP+bvfsgf 88f8MX/zT/6YP+Yf59Gz+6jfb++99JyDbu5f/F57538e02bupe3msD+4qVHt LR5tG/Zxy35Ys/e/2ob959Yzlw75afuwf/XT31+ctF1h73fooMc+OqawH75d j1sbD90+7FMG1rnihPvahP3ermvO+PNLbcJep9pZ94z9fLuwrz39zn3WNS3s M494rvPZN5aF/c4aV9d8462ysJ973db/7bVP67D36Pnmw0+MaB32VgtPumr3 JduGff312/e6pVWrsC+s90ibba5oGfaH3hjy1dAXW4bdX/b+Deb+tc8fiv/v MO6oM996pVnYa/ZpuOd+tZuHfdniu6tNPadp2GeMP6O82ZNNw35Diy8fuL1+ k7AP/s/TQzb0aRL2zqccfOSIaY3C3rzVlo2WbmgU9q8mXL+y/4CGYV9w2glT Z05oGPZ7P1x63UGb64d95D8m9Z3QrUHYx/fo3++AHtuE/dgFK1ZtLt8m7Ov+ tf7OjbfUCfuU347tOK9l3bD3OeGupbOWbh32em+3v+iaQbXCPnXJgWWjd9wq 7Of2f3Vazylbhb3hae8N7H5BtbAvfP+s9XXWVwv70I8vnVTzuS3CvuuZtQ4u P6xq2Ce+ud/CO6r/PJu98Zt9N+7UbPNs9tOWjTiu7K71YS9fOn7U449sCHur FTMW39/hu7Df+Nm71Tt1WRv26R9/92y/UV+G/e6P9mo6fNKqsO+9YfjcMyd/ EPam659pM/q1j8L+7EEf7DPvwPlhP2q/JY91fuXfs/f/fq+pl//P9/3QCact HvR6uzn4jtk1Jr/Tul38LvUbz5z36iEPF7xT6Xev5+xZat+VP17+9nUf1762 YPGw1/H36w+mjDjiwuJ3sK9c98LZ2/Uu4rPjm5q+N2bVboX/kVVP7PHs3OJ3 4xc3+8PBN0/cPtqz4xX7j+572pXbh//f221u3r5J4b/HgfXqbPFdm2jPHu/3 pF13+nd5m/D/4fDJn9/5x+J36K8ZMH3ZkO6FP3vk49K31h3arvC/d+GEYY2G Fb9TP/OHmQNe3nO7aM+OP9j/+xtP/7Is/I/e5usm3zcvftf+3IPqbnpwUeto z45vvrR7x243tw7/Tccd+uziF4rfuW91xal/G3tJq2jPjru+cPubO+zbKvwf G3dT/xlnbBv+C2c/3uXssm2jPTtes/nToTXeaxn+p7y7fMNdW7UM/8ur/ry8 17wW0Z4dT/zNfo1XXtki/Ou07HjPZY81D/8O3Xtfvfv/zBu1Z8fH/vmaaa+2 ax7+M08Z1fnU45qF/7LS775He3ZcZcHifo8uaBr+5/69/P0u65qE/w2l35WP 9uz4yVo7r7/hvCbh3+qjNle1uadx+Hcu/W59tGfHA3874q7zGzYO/4U7DGlT tWuj8P/qmJtqTN3YMNqz4/o3zz/o2Gcbhv/lf3zxxY8/aRD+9966fPLtExtE e3Y8561my/Y6pUH4d3ikwZkvX1c//I9+Z8+eI7rXj/bs+MImg69otEX98J/+ n3k1e59aL/zX7VnlnacW1Y327LjLkxce8kWvuuHf9HeDejWYXDv8+02b2Gx4 We1oz44n7Ntg1OO31wr/YZ9Uu3HRmprhP/WgwwYcMLhmtGeP78PzT829cPlW 4b/orAfK7zioRvg3nvPhvRufqh7t2ePz3PX46p12qR7+e3/dvdHJY7YM/6Hd Ry+ftbFqtGfHz7/87ZE/DK0a/rcO+6xv2RtVwv+t19q2Hd29SrRnj3jjd2oy /JLNcf3/5Lu6e83bc9Ns/gMnXvPqX8o2ztaeHa+e+Me7N9b5Mfzv+7n39J7z 1oV/2aPzezd4+vtozx7Xg0cf2m70xLXhP3Drmw8u7/dN+C+bVnPRHd3XRHt2 vPjct3s2GLw6/A9qf9/Vjy9aEf77Xn3b052f/jTas+PjR/ftU3bTx+F//mU9 mg//4T/hf8buu11629PvRHt2fPeeT7zQ79w3w//Ou/ae1rnpU7PdF8Up/tb+ 8n/+zp4waPi6OoNrdvX/FzZrvsd+81oEiy9eft9Vh8qvc/l1K78O5deV/DqR f+/z73H+vcy/ZzifZ6qvOc875fKFJx/w1DuRl6XtB7W76alPg5/cekidw7qv Cf725z2vff6p74M7rV29RaeyjcHPr+03q1/3KpG/Uy6YftltG6sGb/q8yYHl T1UP9nwQPGfR/Bv6lG0bXP/WEV8OvaRV8MBjdj7qlkWtg5+s8+5DT+y5XXCV 38/b8o/d2wQ/1G3bfdZ9W/CxbS86488Ttw9eX+X1Wxr3bhtsvV++1BPly+cr 5lXJD/u8+Fxg9USsPojV+7D6HVaPw+prWL0Mq39h9SysPoXVm+L6nupHWD0o rt+pvoPVa7D6C1ZPweoj2OcUq19g9QisvoDVC7D5Pzafx+bn2Hw7xhPZ8wd8 HmL+nT4PUcdLn4OoyyWOOlviqJsljjpY4qhrJY46VeKoO/l+pPNL+hff8+z5 BNp7PgH2fALs+QQxbkzPJ8CeTxDfr/R8Auz5BNjzCbDnE8S4PD2fIOYJ6fkE 2PMJ4nqbnk8Q37v0fIIYp6b5Vc8hze6ruetLMd/6ecARNy66YuzsakdWzLfm nPtll+PLDn42eMzcGX96vP3UuN902+lvC//y5Mvxeejf+OU2N/32+ajHOC/l emB+hb+c8nSXvw0r1je0j/rB5PIVzScVdRn2uE7NunTN3pX40pde3OviSusf 2sf8dP5XW6wYVax3OI+Vz+v87VY+YJt684v1EO31b9GCkTOu+75YH2EP3Ze3 fXFSJX7r07Oqrqi0fhLPDUr9+2zluLdOfLtYT3EeS3/y+eM931T94MoWRf+0 j/rKF22u+/HIon/scR/YouK6HrzrVg3fPrHS+oz2+tel1iGTFuxY9M95LP3J 56ffNXz0ya/PKdZztNe/MbVfPemcu4v1HXb96V+6DwWPbv/8pAWV1n+017/x u3160YEji/Ug57GiXpDNf3t1OuHqgbOK9SLto/7UYciuy74q1o/Y475aum8G v9fzjGEHVlpf0l7/Vh/918Mfea1Yb3IeK+oX2fx6Ut+Nx71Zv+if9vrXqXeL jUcfWvSPPcZvpft88KDFjf/Sp9L6lfb6d8T5+zbZtnXRP+ex9Cefv69ddUT3 Ma8U613a61/z5aPvuKxdsX7GHuOY0rikmH+0+P1u+1VaH9M+6q/b/fP1ZsuL 9TLnsfQnrw/c3/GOz35/TrGepr3+Ldj+7QNOXVCsr7HHOLc0jgp+6eRpC5tV Wn/TPuq7p9c+b8OfivU457H0J68/9LloxbVH1m8V/dNe/0YOavdel/NaRf/Y 9adNadwXPGxC9fM3VFrf0z7qx/efXG9p+1bRP+ex9Cevb1Sbvv8uu0wr1gO1 17/2ky+6rE3DYn2RXX/KS+PU4B0+7LvN0krrh9rr39ErHn1i5r+K9UTnsfQn r59MXX/ta7UGFOuN2uvfks/ntar6bDEuYdefUaV5TPCidg8+ObPS+qT2+rdp l03HThharFf+v0LONLiqKl3DIQyGIcgQmiEMgWYQBURAQSQUGKCSDjKJEFCQ NCk7BpRBpihDrgaMcmUeLzQVGRUDXATsSAWCIIjQMhk1DQSQgBeiwYBhCOOt yl7P+53aXV38op5au779rpeTc/b+hkWdHz3+/EzCc7mjfrtv9UyuR19aq7Dd +S/XkT7W0dN2aOLR2gGc+tqN/qsC6p/q83L6Mkb3vjajdh3pYx4LPf78T9j0 x0KPrLF6Kdejr9OYhFf3B1n9lXX0nFuZObakinGHT3v9MSOgvsr16Htly8qF 8VlWb2UeCz3+/NLXe6Zs3hJt9ViuR9+lrduDNqyz+izr6Jl3NqTGqQC+8OuS RfEB9VuuR1+Va791iIq3ei7zWHrf9+WvJpT9tu/8Qqv3cj36lhWXW532lzDp Yx093ZoM2ZYVwIva/N/TUQH1Ya5HX1aHyB+bVgiTPuax0OPPjzXtVffq+AVW T+Z69EV3fCkq6XerL7OOnqKETweuCuAe4zr+1DSg/sz1qk9M/mhyhc+sHs08 Fnr8+bectNcXDOxYXfq4Hn23ktddiF1UXfpYR0/6hpLrMwK4eNv7Uyr8YfVt rkdf/Z15dS71rS59zGOhx5/fC1n61t9GZ1o9nOvR90nW9Zmtn7X6Out6Pi2I WRofwL0Kt7Q/FlA/53rV50penrDwstXTmcdCjz9/+Fr9sI1PBodKH9erfnh/ dp+GWaH2XubW0XN/SIdxswJ4/fh+kxYG1Oe5Hn03pt/9YlD7UOljzgA9/vzk gY+3/3YttpL0cT36qqa2mv9z+crSxzp6hp/N2RYTwOVuFWUOCqj/cz36BpX7 e0ndaZWkj3ks1Qt8+c+mLV568ovF1i/A9aqPVvzu+7V9Q6SPddU7vLyYPV9N m3+nbkB/Adejb/sHkV3yDli/AfNYqif48qupGdfHJZ+1fgSuV/11zht/Slxe XvpYVz2koDSPJN4b3K5rXkD/Ater/vfomenp1cpbP4mbx0KPP397/qkl27u0 DLZ+E3c9+h4Pqzrkifxg6z9x63pf8/Je4iZpJ1LSA/ojuB594xdN/2rk0GDp Yx5L+Whffjj1zTeuPLh4X/0AXI++D5dvXnGlVZD0sa7neS9PJw4O/2XWNwH9 F1yPvtXtu4b0iX6g91/msdDjzz8/n7z5rVnJJdLH9eg7Ebkqa2ThbfUvsK58 u5dXFO9p1qJKn4D+Dq5H34iuMz7KOVUifcxjqR7my28Hpf5+q0posfRxPfrm RZ/tXpByXfpY1/PLg9I8qHh628T5OQH9I1yPvoYxe2q8PKZY+pjHQo8/fz61 Qfzd5t0LpY/r1b/xYsQ3Y8OKpI919Fzx8rbiyZMGtP4ioD+F69V/sCG47b7y V6SPeSz0+PPzt9rlV+iQeF76uF7vR1l7l13pe1H6WEfP4JaleWbxH7NzOu4L 6H/hevR12JXa+VirfOljHgs9/vz/D40X9ywXeUT6uF7P92s+6HWzMEf6WNfv xbTSvLh418yhFbtvs/4arkffq+tCP9y54Vi28jgurvp3XD5OeRT/c7H/OdT/ 3Od/zvI/1/ifI/y/2/7fSf/vkmP6d2HOC4c5LxzmvHCY88LVl+jOC4c5Lxzm vHBY/UvOL86H1XusOx9W793uPHGY88RhzhOHOU9ceSN3nrjyXO48ceXl3Hni MPOBMJ+39vuefuf7PMv/zb6QF9ujreX7ji2ZOuNcifHqQ7VPDN5i/Fhm0379 exvf/jV79cEy1g/N54p85fkvli3f/JPxvI13/vHBcWP6uWDyg8TTub1uvXNu t6RGj9v1lw6vSbv9Z2P6v2Dyefx9rN3UPO12QD3k7pEjcaMGWH4SvTB6Ye4P c3/6u9n/aM+fbvgJ4ydMfxtMvpV47J91/IfxH6YfDiY/Sn0IfeSL+TzA5IO5 nvuzzucFJj/L5ym//Kz6O961/GfKv/4ZsXeV8YDQxLeeHdhE/7/kN/n/WlBy qfO8qcbdCmOHjJpkTP8eTD6U/8+BRZNanl5r+VLiwcTDX+6PX+iF0QvTTwiT 38Uv4uEPfsDki/HruRZtCpv9YPnY3NsTrra7aryxTbUeG9c3ll/kW9l/Qb35 lcscNV5Wtbjl6YPG9DPC5GfxK6N6o9u9b1r+lnh6H3Lx8Iv7s3/0wuiF6a+E yTfjF/HwBz9g8tf4tTD6x11LWpg/bes32Lsmyji4X2ZYeEmE/CL/y/6f7/Ls 6XGNzY+iJ1fe7h1uTH8nTL5Y7z/tvzm0K8b8IR5MPPzi/uwfvTB6YfpNYfLf +EU8/MEP1S9dPl31ndenz3nkbctXp0XuXxC2xHjouBEXZ8eaX+Sj2f//DPs5 4/xbxtH9exze9YYx/a4w+WvV1QeOWdFmpeW3iad+VxcPv7g/+0cvjF6Y/luY fDx+EU/fb84PmPw+fqX96YXdRcssf75n18kDlY4bJzSrPrrkuUbyi/w4+79w r8ad9f9t3O1ibsdhKcb0/+r3z+XT8Svx1za5XfMs3048fX+5ePjF/dk/emH0 wvQjw9QH8It4qj87P2DqDfjVacjfXz0Raf3MY4OeSPxtonFYYnzoqXMN5Bf5 ev1edxu5Mu0p86OoRct/dW1mTD+0vv9dfh+/6rSZkRzxrvVXE09/jy4efnF/ 9o9eGL0w/dkw9Qr8Ih7+4AdM/QO/Lq0oDNp+3uoLEVHvVDxSz+ohX2/cujlr Zn35Rf1A3+fvbYtM+tE4PSn57YhDxvSH6/vM1Rvw6+DYo/WCW1i9hHgw8fCL +7N/9MLohelXh6mf4Bfx8Ac/YOox6o86E7l68ftW7zg28/DGLdnGEwrL9Fv1 eLj8op6h76f9Zc/GvmPcb9O34cFjjOmXh6l/4NeUbY2y8g9bfYR46jd38fCL ++v5z+mF0QvTv6/nO1fPwS/iqb/L+aF+EFcfwq/oxnOiJrey/v+Ug+G95ycY N2074OqMo3XlF/UV9r82ZGBK6wjzI6io7q78msbMD8DUY/DrsRtjhu0fa/MI xIOJh1/cX89fTi+MXj0fkxfk+cPVl/CLePiDHzD1KuUHRp65EHfc6kFtK48u HF/R6lc541cviJ9QR35prtTtf2Ds2saP7jf+33ZJw/dnGjNPAVMfwq/cTnvu r69l9S3iwcTDL+6v5wmnV8/7Tq+eT918h35PXb0Lv4iHP/gBUz/Dr0/Wt5nV eZLVp869kDVn4Gbj1B3X2kfVrS2/yBOw/3JzivcWvW48YuLOB+uHGTNfAlOv wq+0d6qlp+20ehbxlF9z8fCL+7N/9Op51OnV85abd4Gpv+EX8fAHP2DqefgV d3l6i/rhNi8zb16Vts+8aNzh1vM/NN1dS36RR2H/24/1SDhR1fyollnp47Rg Y+ZtYOpn+NVp94juSa/a/A7xYOLhF/dn/+jV85XTCzP/A1MPxC/iqT/J+QFT X1S9p9XRg/eyrX7X7ftXjte+ZXyh88JJFUaGyS/yTOw/oebi8tu3Ge+5PfT5 pA3GzB/B1PPw61LQ1vOx5aweSTyYePjF/dk/emH0wsxDwdQn8Yt4+IMf6id3 9U78ynyzUdLZBJunKqq1aXzJSuNF0/JrX3qkpvwiD8f+wwZdXL84zvwYG/lZ fmxvY+ax1I/m6ov4tSyqTGrrT22+i3gw8fCL+7N/9MLohZkPg6mX4hfx8Ac/ YOqv+JW4dUzlrypa/TU97l7NU92Ne+xp/+W3GdXlF3lK9v/1sqejJ98zjki5 k9r6qjHzaTD1TvUxzurf7NE+Vq8lHkw8/OL+7B+9MHph5uVg6rf4RTz1rzo/ NG/g6sH4Vac4O2P1Zqu39lvxwo6sX4yLg1OHfta/mvwij8v+J5yaeTlutfGx vbHNH11izLye3o9c/VV9zwc/PlB0zeqzxNM8nIuHX9yf/aMXRi/M/CBMPRm/ iIc/+KG/T1efxq85b0SsDNlQVf4EZT23qUttm0fsNfuTm3ULQ+UXeW69P3fJ qDVxTlXx/Uqd5v480Zj5RZh6sOrdtS8cXfukzUMSDyYefnF/9o9eGL0w85TK V7j6Nn4RD3/wQ/3Zrl6uety1PWcOF1k9enj3078/GFHF5nurxXTOe6ay/KIO wP7Xf9U7rlOu8fB5ucfXZhszzwlTn8avzStTayQm23wo8WDi4Rf3Z//oVf7V 6YWZL4Wpt+MX8TQf4/xQv7qr32teb0p847mdK8qf3Qemttu30bjckstT01NC 5Bf1bz1/+f7NqpUclljRmPlWPX+4ejl+VW3S7KUn9tm8rPLs9Me4ePjF/dk/ emH0wszb6v3b1f/xi3iaT3R+6Pve9ROonnqvTMKA1Ao2T927wcRZxcYJ4R9m jzxUXn5Rj9fzxD8/yts9qoJ9n6+oO/iJF42Z99Xvqavf49foDfuXXqli88PE Uz+Mi4df3F/v006v8jlOL8z8sd4nXT8CfhFP81POD5j+Bvyq9N7q9bWOlLX+ 7+O7/hHT1eaZ96Y/HtwirKz8oj+A/e/t3ybi3R1lxW9H7Fx+ZaUx888w/QTq 42/12smtg2yemngw8fCL++v90OmF0Qszjw3TH4FfxNO8hvMDpt8Cv5JCoi7n 1i4jf04OGn67Sppxk+aHexQMC5Jf9Cuw/yY/HflrzwfGJ9cNPb31F2PmwWH6 G9Qv/nmFBhPTbb6ceDDx8Iv7s3/0wujV84abT4fp18Av4uEPfujz5fo/1B8c /s3gTvvuqr49IfNecvqae+KgwT9VfbnvnWz8on+C/Qd/eeYv1RfcFY8fdCOy YIQx8/F6v3T9FvhVY0yf7LE591QPJ576W1w8/OL+yt84vfq9dHr1e+Dm9WH6 R/CLeJqndn7A9KPgV5/mIXm7B920ef19XR8073hLvDu+zqKfz1+XX/Rz6P1n X6NjS5vdFLeN77hvbPENMecFwPR/qH84eW6Pm3+z8weIBxMPv7g/+0evvv+d Xn2/ufML9L7p+lnwi3j4gx+af3L9MZrnfirmrz0Lrsqfou9mpG46dE08dfSQ uomTiuQX/SXsf/qRES81/PKq+MqoKdE33zfm/ATlK1w/Cn7NST327bQ71+QP 8TR/4OLhF/fX+5DTq+8zpxfmPAfVj11/DX4RT/Przg/NY7t+HfxaNDns6NI7 l+TP0K3/VTMxq8D+Pq90iMyr+Yv8ot+F/U/6PGpHzPJL4rjC8SvuPGPMeRIw /TH4tbzhn1eFNLTzKYin80pcPPzi/qoHOb36+3R69flz51uo3uH6ffCLePiD H8qHuf4h/GpYr/W2mJ6n5U/GR490KThwVnzukTfn5kz8UX7Rf8P+8+fOnrEp 5ZT40/IFsdWzToo5XwOmXwe/anVY90mtnnZeB/Fg4uEX92f/6FU+zOmFOe9D +WjXf4RfxMMf/IDpZ1L+y82j0WeheTv6ld18G8x8Ww+vj1PzcuyHfhv0MT+n +rybn/P3efynOTV/HtafZ/Tn0fx5In8exP+e73+P9b+n+d9DHtZ3C3/3Xmmf l+YdJ3t9aeI7E0v76MTdvL4/8bten6L463qlfZXiYK8PVP6v9fpWxcXZpecU iPt4z7niMG/ORJzgzcWIt3tzPOJy3tyReKA3JyU+4c11id/25tDETby5OfEk 7xwYcW+vL+Tf5i+Zh+bvjXloPo+s8/lineuZl2YdZp35adZh1pmnZh1mnflq 1mG9d7l5a9Zh9Xu4+WvlOxwr3+DmsfW+71j5BTefrfd/x3r/dvPaev91rPdt N5esfhDHrDOXzDrMOnPK+v1zzDpzy6zD+v1xc8ysw6wz18w6rN83N+fMOsw6 c8+sw6wzB63+GMesM0/OOqz8vpsvZx1mnXlz1mHWmT9nHWadeXTWYeV/3Xy6 6t+OWWdenXWYdebXVX9yrDyEm2dXPsCx6o9uvl3P247/01zWw+aiHjaX9LC5 oIfN5TxsLuZhcykPmwuBk1qVnjOi7+vl7UufC8RfppSeYyJu4D1niVd556SI +3nPreJzG0vPYREv8N4DxE28c17EOW+WvleJP/fOkdH3bRXvPdW+371zasQZ 3nu/eLR3jpO4jldXFmd550SJE706vd3PO4dKnOn1PYhf8c65Eod4fSSmxztH Sxzn9eWIp3vndNl+vD4ncXPvHDDx3XalfWPiI945Y/b76vXhif1z60u8c4W0 zpwk/GLT0nMA5P//A1IwxdY= "], {{{ EdgeForm[], RGBColor[0.596103, 0.984298, 0.596103], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNnQW0FdUXxu+7U/fOXAO7pQxsBQNFBRFbROwOxPjbha0gtmChotiF3d3d 3d2BhYWd//3j++56rPXOOmf2iZnzzZ3Z++z9nXnddtx76F71Wq02ebpaLYn8 wLxWOyDSiLRWezny7yPfpqNWOyrKR0YaGccHUR/p4CgfFvmhkQ6P8iHIOI7y EcjoE+VR9It0dJRPjPyESCdF+djIj4l0XJRHU89xlI+LCynjWhaOdDJtI40J +fG0pX+UxyKLdEqUh0W71SMNinQqskinhfysyM+MdHaUL4r8wkgXR3k8skjn RPm8yCdEOj/K5yLjOMqX0DbSpVG+jDzS5VG+IVLXOM8qkcaF7AzOEbIT4prn DdlKkfYL2f5ZrTYx5FfQL9JVUV61pr7dIvV33j3SBZyf64s2AyzrEWlgpJ6R FvD8yBeMtFakXpEWibS280UjrWnMehkL2i4U6aRE8jUireO2i0UaHGnJSEtF Wi/S4pGWiLRhpGUi9Y60rttSd0sq+ZBI67st/Ye6bZ9IGzlfNtLGzpeLtGmk 5SOtEGkTyzjezLK+kcYkwm+LSIcFfodGWjHKWxrXfpFuS4X91pG28X0A1+2M KfhtaxnH21u2WqQdjSlY7mDZQOc9jPXp/Ha4r3GevvG7nyvS3JFOSYTfTpF2 8T0A+z2MBVjuahkY/8/YgetulnG8u2X0uSsVlntF2t94gc2+xhQs9zbe3JN9 nFN3gNuC635uS/8DLQPX4b7n/C5GBZYjI20e5XtS4XdopKOMEXgcNg2uRxhH cD3cMo5Hui1YjnLO83dspJ2NzcG+h9y30caMazkjUfnoSMdYRp/j3A/8jncO Zic4B8sTnYPfSc7B/oFU+I2JdJqxA4/TnYPrqcaOurHGG1zPcD1Ynms8wODs SAd5HjsbP+738YHfcZFGRHmc+4H3mYnanxXpoVTjnBPpFJ+Hc1/ra+T8E3we cD3fWB8Z6ULfDzC+wDKOL7IMvC8xfuB6dqLyxZEutQxcL3POPbncORhPNL7g eoVlHF9pGRg/luo6r4l0lWXgfZ6vt32t/C62j3Sd58Rc83hOJkX+ZaQbfT+4 D+ckwubWSLcZJzAeG1iOiXRmlG9yW+7Jzc7B+IlUWN4R6R5fB5jd5XsGlvcZ L/C709hTd6/bUne329L/frcF1wmJ8Hsg0oPGEowfNqZg+ZBlHD9iGbg+ZhzB 9VHLOH7cMnB9wjlYPpMK16co1/SbAL+njTfHz1p2faTnI91gLJ+zjOMXLAOz F52D2bjA8oxItzDvRHi/HOmVabB/09iBx1vOwfUNY0fdc6nwfi3S68aeurfd Flzfnwazd30PwPVD4wV+77gtdR+4LXUXJur7XqSP3BZcP3YOlp84B+PPjClY fmoZxy+lwvKLmn5zTxvXScaY468sA9evnYPlN87BeLIxBctvLeP43MDynEgv RfmHabC8OFH5e45T4fRTpCnTYPazc3D9xTnY/2bcwfJXyzj+3TIwuzQRNn9G +sMyMH4j1VzTeM7+Mn7ch3+ML9j/6xxc/3Y9dbUO4QuuHR3KwbLeoRyM+W3x ruS5zTp0LrAsOoQvWDY7hCP4NTok47jskAz8LgrMLoz0XZSrDsnA+PJEmE0X suk7VAbXt1LhN2PIZuoQjuDXpaMT15k7JAPLWTuEHVjO0iEZx/953sxztg7V g+vsHcrBcmIiXOcI2fwdwqXDev4vY4a+/9u4ztOhHFzn7VDOeebrUE7/rh4D LBfqEC7g1KND9wos30tV7h6pp2W8LxfsEL70WcAyjhf2GODKc3+K700vy8B1 2Q7Nk/l9kAq/JSIt1tGJ8ZIdkoPlnB2aO/NcyjLwvipR+0UjLW0ZeC/jHIz7 dAh3zndNIvyWi7SCxwW/5Tsk57i3+9HnivgtXB6pFeXTEtkG6MsPU1334iFf 0XYWeK/cIXy5PwONF9isYhl4DzCWYPxJqnL/SKtZRp/V3Q+Mr0s0v7UjrWl8 wXKQ67lvazinbh3jAZbXxrVfE2mRKH+WCuP1Io2KtGOkYZHWN/bgPcQ4gt8m xglsNrQMbDYyptzDoZZxvKnbgutmzrFDt4rUz9hs0KH7xzm2MHYrRdrcbTne 0jL6bO1+4PdlKpy2jXRDomvbONJ2xg9cdzCOAz2/gcby5sDgpkhrRfmmRFju Emm4sVvTWKxuXHdyTt2uxh5c94w02PPY3ViC397GDpy+TiX/X6S93Ja6PdyW /vu4Lfjt6xxcb0k0p/0iHeB7AK77e64cH2gZGB9k7MByhGUcH2wZWB7inPtw qHNwPcJYgt93qcqHRzrSsu0jjTSmYHmUZTs4H2Csmc+Svq/cN54D3jdHG1Ow vC0R3sdGOtlYgOVxvg9gfKIxA9cfUpVPiHSSZfQZ437gerpxAptTjSlYjnU9 9+QU59Sd4bbgekeivqdFGmcZuI729fK7ONMycB1vTMHyAmMEHudYBq7nGT9w /TlVeUKkC90WLC9yzvN3VyI8Lot0tu8l57jE2HEtF7stx/fH7/e+SMdE+XJj CX6/psJpYqQrjRlYXuUc/K52DvbXOAfLexJhcEOkG40HuF5v7MD1WrcF15tc D5Z3GBcwuC3SWZ7HnXGNd0TaOcq3GF+wvNn9OL7VMvrc7n6MdZ3Pw7mf9rVy /j9TYXkX12ysz490n+8HGN9rGcf3WwbeDxpHcH3AMo4fjWt8JNKljJPoPjwc 6RHfEzB+fBpc/05VfizSE5aB8VPGl2t90jKO7/b951qf8TyY37POwbhnPfRp pDzS89Pch5eNHTi94hyMXzKO1L3gttyTF51T96rbgutbvg4wq2XC741I7xgv 8HvNbbmfb7stdW8ab/q/67bg+p5zsHzfORg/lAi/D7l3ca6nIj0U5Y+mwfVT 4weu9UzlTyJ9Zhm4fu4cLL9wDsZf+jcBlpMs4/gry8D1m0jPdQjLRxKVv470 rWVg9p3xAssZAvcfIv8x0veWgf0PzsH+F2MGHr86B9c8k/xn93/F2P/merB8 LBEe/0T6y9iBGbqNdyS2wh++H2D8u/tx/Kdl9HkxzvVCpA+i/JPPw32b7Dkx n3+NPXh31IUreCd14Quu9bpkHKd1ycCY398kY8zv8QtjXNQlA+MnEmHZCFmz rjJ4V3Xhy7WUdck4btUlA+/p68IXXKerS8ZxI9N11kK2eaS+kVaMNGNdmDLX mevCmPswa133AIxnqUvG8Wx1ycBvjrowBb/Z65Jx3L0uLJj3nHXVc0+eSnR/ 5g7ZPHWVwfL1uLbXIv0d5fnrukZw7eocLLs5Z9wHEj2//OZ6+DxguYCfb7Bc qN6J3zOJygtGWtgy8FukLkzBr5dlHC9qGfgt5hxcF3fOb3mmuN6ZIl8q0hKW geXSdcnBsndd2IHlMpZxPH2mOc4XqY/rwXVZ52C5nHMwXqUuXMDj3ej7TqS5 ovxcIizb97KN6yyZxu4XaWWfh/6regywHGQ8wGlAXfcMLPu7nuPVLOPd+UKi 9qtHGmgZeK/hMcC1len3w/zXtAxcN/bcmNO6xhQs1zHWHM+RCcvBkZb3vPnt bGCMwXVt3zP6DLEMXDd0Dt4bGVPOt4nPyXgvJcJps0gfx7k+irRClIe6H33W 8vVyDvQb9gX2x1yZsNyyLr8sfkX8jNv43oDrDsYLbF5JhNOOkbY3vtRt67Zg vJ1z6oYZV+7JLr4O5jrc+ILlbsYL/HZyW+p2dVvqdnZb+v/Pbdfj/mfCdY9I expjcN3bOILfXpZxvI9lYLOfMeUe7msZx/tbBsaTYvwvIm0a5dcSYXxgpK6Z MDs40ghjz7vnEGO5VaTDIm1dF5aHWsbx4ZaB2RHOwexI5+B6lHOwfyMR3iMj HWPswONY5+A62thRN8r3B+yPdk7dcW4LridPg9kJvgfgOtZ4gd/xbkvdGLel rmemvidFOsVtwfVU52B5mnMwnhztv410QJRPtwyM30qE5bhIC2bC8uxIZxpj cB1vjMH1HOdgea5zMD7PmILlBMs4Pt8ycH0nEX4XRrrAMjC+yLiC2cXOwewS 5+B6qXOwv9y4g+VllnF8hWVgtkgmbK6KNNEyMH4v0VxvjnS18eM+XGt8wf46 5+B6jeupu8H4guuNzsFySpzrJ/yeUf4y0tORnol0i3EFy9uNK1jeaRzB7w7L OL7LMvC7x5iC392WcXyvZeD3QSIs74t0v3EFyweNI/g9YBnHD1kGlo8YO7B8 2DKOr/e8meejrgfXx5yD5VKZcH0i0vPGBTyeMqbXGINrjOszzsH1Weec5znn 9P8jxvydtX2UXzcu4PSS7xVYfpSo/GKkZaLtbZG/Euk140ufV+uSc/yGxwDX Sb4+rutNy8D1E8+T+b07DZafJCq/E+k9y8Dyybrmzjzftwy83/Y94/58YBl4 f+gcjD827pxvuUz4fRbpC4/L9X1uXDn+yP3o85avl3Mslum3xDy/Mr7gulpc c49IPSN9Y3y5PytkwumHSD8aM3D6zliC8X/R5l9sU64pkXxypJ/cFox/NXZc y8++T2D8RSKcfo80xW2p+81tweYXt6X/H8YVvP90DsZ/OQfXf4wj+P1tGcf/ WgY2kAU+9j38zzKO+2XCtR71SaIyuKaJcvDOE/0meF6zRDKOi0QycG1iJ9eF ZSORjOMsj7EifUv/RDhVkbdcBtdVMuE9fchmSDqxnzkRduAxS6IcXGdKhB11 MyZqC/ZdEuXUzZqoLbjOmQg7MJs9EfbgOncivMDva8tni3yuRG2pmyNRW/rP k6gtuM6bKAfL+RLlYNwt6cRytUzlrpG6W5b6NweOuX+DqY8XsAxcF3QOlgs5 B+NvE+HXizxwLUlRXiTpxHXxpBPL1TOVF4u0hGVgtqRzMFvKObgu7RzseyfC HSyXsYzj7xLh1Ad/ZCJMwWlZyznubyyY9/Ku5z70Nb5gv6JzcF3B9dT1S4Qv uK6VCb9VIq1qLLv5t/asn9sBPg9YDjS+YDnIOILf6pZx3CUwmzHSwoxvLMHv B5fXjLROJszWibSu8QPX9ZyD5WDjCH7rW8bxBpaB5YbGDiyHWMbxSp438/zJ WA6NtJHLYLmxczAenAmDrSNtakzBbDPn4Lq5c3Ddwjnn2dI5uG4zDZbDjAs4 bed7Bpbbup7j7S3jfbmj8aXPDpZxPHtgOVukNaJ8oK+P6/rZWA6PtO808/uf MQXL3abBeHfLwHITz5t57mEZeA/J1H7XSHtaBt57OQfjX32ufSLt53OC5QEe l+vb3zKO93Y/7tXOvmZ+FyM8D3A9yDm4HuwcXA/zPQHXjTOVD410uGVgeaTx BcsjLON4hLlX3eLVcZTrwXWUseb+zBtt5om0U5RHup66Y4wr13tNKv7X/DVx wQ425wm+DtwSeCcHm/PVvSaeF7ww+DMjzeGCe3SkOV/wluB2HZuIj3SMOVzw lOB+wU2C73WceWHwmU4w5wuu0knmecFDOsXcHLhHY8zzgpt0mnlY8JGuT8X5 WromftbxiThOv3uOoxNx1uCm9aiJI3aOuU3nmAsGh+lG871WromfBXcM3tKF 5oWBx8XmhcFhgiMG5wsu04mJOFjMF+4X/CX4YeCCHA4S96l/rZMXRg6fiWta rSbeEpgO9HGbB8YxmMFLgd8Djmv5GB4W/CB4QuAF56jN+SKHnwRe67lugnln 8LTAdH3XtblljAumg113cqIyeC7j88BPanO/OPdy/o20+V8bu+7WVByyDWri 38Gz43pZE+LLYL0Njpv5dwZmcIi2MC5wkOAn3Z6KB7aVMdvWdeC1fa2TC7ad 65g3PKJdjeMObgeWw2riMI1NVB5kfHd0OzCFAzTcWOzi47U9Hsfw1Ljmvsb0 fz4feMFRwqdwdyq+155RPjWRfLCxgyO0l7GDo9Tmee3jOrDbz3Vgub+PwfgA H8PtOnAa7A50HdjBYzrI2ME7gp90byoe2CH+DTG/nYzj4W4Hdkf4GCyP9DHz h1N0jDEaWRNPCcxG+fj0ROVhHnd0TVyl4e432tgd57EeTMXlOrnWyf1qc8GO d7s2D4y6cYl4SW18T3IdOMJHgsPU3b+J/sbxFNcxH3hAE4wdXKM2X4z8NGM3 znXbe37MH/7XOOO7r9ueanzhNMFtejgVD2y8ceQ85xq7831uxoOD1OZ5XeC6 Q932HN//U33dYHqR+5yVqDzKmF5SE2+J+cMzurLWyQO7tNbJA7vMOF7hY3Cd 6GPmDY/oRuN7petOswxuyOOp+GFXR3l8onOdZEzhLF3ra73ex6e63/W1Tl4X 54DzdbPxPTcRb+gizxmeEXyjJ1Nxv243Hne5jut+tCaeELje7Tpwh990q/G9 x3Vgeq+PwY5z3We84CM9YIwernXyvB5y3QVuS/8xnt81xvER9wG7x3xNFyXi 0Tzh+cM1eqbWyQODs3ReojLYPZuKE/akx4Wv9JTP84yPwe45j/V8Km7Wq74n cJTaHLHn3a7NCXvBWMBXgqsEL+xF3wPwhZsEV+nlVDyqz43vG65jfh/XxKdh /nCQ2vwv8reMzbuum+j5gcUFieT31zp5Zm8aa/hI7xnfD3z8sM/zYa2T+/Wx xwPPTz3up657yG0/8L1/09eNf7HtFwdHuEtwmNocILgrbe5XmwtG/pXx+9Z1 b7vPb8Zxsut4Z13q38gz7vel8YXH9H2tk+8FVwnu2GTfj7c8HjylV1Pxxn70 tf/qPuD4h88NRvB0/vQc4AvBH2pzvNqcL/K/jd9/rrsk0TjvGkc4Sv8Z6789 LjjCWaIOXOEucfxmKp5Z0iH84CNxbuYKR6nNBSOn7rJEfT/z7wmu1k+1Tg7c FGMMl4n+4At/ieO3U3G/ZujQ/OELwTeiDxwk+EltDhbcIMZFBp8JrOE3wVvi PPSjD1jCOWIs8OaeT+UgJfoN/OH5w1dq86HI4S21uV/UtflenPtp3+dJtU7u 17yeD3wh+EPvp+J4dYvylYk4SnXfM/hI8JP4DcHbYv7w4yhP9n2gfZuPRj6f ce/p/vSBr7Sw5wwvCX4SvCrkle8N19LmkS3g/k3341rhCsDFOMg4wjmZymeq K25DvOvqRLyk2Y0LfKTlOjo5YfCO1vW6i/UWWPd2HVj38TG4ruD+zAcOUj+3 g7czxDgiW8n3GO5SX+O+ko/nsoyxuJ/L+hzgtIrHhdMD/2R/zxUuErwjeFtr GjtwhGszwNjAU2rzywa6DkzhKMFVgosD72iw5zzEx9cmOm9X31fG628c4SbB W/o8FVdsXWM82HXgMtTz514N8nUwn41cR3+4Ov/z/OEgbW6c4B1t6fvBnDc2 vpv6eCXXb2HM6LeZ5zYt54gcfhKxMHgK93gOyOAw3ZiI38Q8v0rFG9vGWG/t 62hz1Dbt6OSK7eD5DPMx9wAe0E6e/x6eGzyy4b5P36Tie+1m3OEx7WLM9nQf cN/Lxzcn4iht1NHJMxtmTOEotXlke7tPmx+2j/HiNwJv6fpEY/B7avP/GO/T VJzCVTsUvyTWRgwOXIgbHm6cjvQxWMM5Oqijkx/W5osd4rpbE8m3NvZHuT8c n9HGiLbwgMZ7TsiPNo7wl0Z6nkf7eAfLGIt9WvDPDjN2cJqO9f3heYeDdXsi LtK+nj8cpNOML1ymk4wX3KE2R2yM68DsDPdhnnCNzvLcxvv4x1Scs+N9jxnv RJ8bnlKbIzbOY43wGNTdmWjuYPRLKu7XucYa7s8E94Ozc7PnD/8IHhJ8rkuM F/fjfPcB3wt8DGaXuE+bv3V1RyfH68qOTo4Xx5v6urnezT1nrve3VFyxK4wv /CZ4Tid4jIkdnRy1C31+OD/3+j61ZWAMfwk+092JeEynGotbPU/uDdykG4wX 825zx25yHfjd5j7cg9t9DF5wjuAewQO73ue7NxFHqf07u8N9/krFD7vT2N3j /mN8jeDV5gKO9fzgLMFhgu8ABwEuAhjAO3rcWMIvgnsER+xB3wPwgsf0sLF+ 0n0mut9jnhucnDafi/w594GbA0fn/kR8pet9jfCXnu7o5Ic94+t+2tfxTyr+ 2aMdnXyvF4zrSz5uc8VeNnbwlN4wpq+67sFEvKE2dq+5Drzech/we9vHbY7X e76vL/t8/C7gJrV5ZO+4T5sfRh38L/o+aFzgHcH16YBnEun1DvGP4MnAn2EM eDq/e/5wjr40dnCKvu7o5Id91tHJD+P44UTtnzVm9JvkOcMjavO5yOEdrWP9 j+/0Jcu+M6Zwlr41pt/5+HnLvvH9mORzg91PPsejicqvGXe4ST8biz89tzaH 7BfjxVzbfLHfXAd+f7kPnK+/fA/AD64R3KMiE/9sSsiamXhU/3XotwV36Z82 1nX9xsELjOn/uPGbyg3LxMP72POBr8T9YH5wljh+PBF36SvjAe8IHhL3A84S HCawgaPU5n+RUwd2tKUOjOEp0R9c4B3ByXkyEUfpJ98fOEu0A1PkHIMXHCX6 TJeJ09OlLrzgKVF3sX9rDxhLOEvUgSOcnTnqnfwtnnm4XcjBd4ZM/Kd568IO vtLc9U6OV1f/Rrv7+OlEPCNw4b4y9uzGCw5Sm//Vw33AcgHXgRfcpAWN0cI+ BrNePgavRXwMfov6uM394njmTHyvJY0jvCM4Sc8msoVnrHfywxYzdsu4HVwt +Edz1jt5XXCTeG4KXy/YwT9q88V6u3+bE9bHmC7v/jPYBud8/K5nd1twhAfW 1+9Z1rj9jCm8ozaPbBXXgW9/14EfHKU2F2yA68BxoOueT1RewJjCQVrdOMI7 anPB1nAdmK7lOnDEPmpzuNZ23ayZ+Gor1WV7od/QH9i16F10JvNk7bGusYB/ NNTYbOxj7gf8pcH1Tk5YmyM2xHXwBYhlv2McN3F/sMC/vJXbwd/Z09gh29KY wl2CwzR3Jk7YFnXxyDbxvent69rQGG/jceHpwDEZZyzgIw33/HfxMfjCY9re mMJHgp/0ciL5QGO2q/vMn4nXtbvnzPXu4Xu5rc89wONtZ+zgLrV5ZLt5rFcT ydczTnt7/ty/nXwdzGcf1y2Qidt0onGBa3Sw5wmn6FBjCncJDhO8sP2N9Vau p0+3TPywgzxPOEVwjF5PxDnawfeVMfatd/K9jqx3csIOr3dywo7wnA/3dXCf Rhj7NsdrlOc02sfgCB/pWGMHj+gk43K8695MxEtqY3eC68B7jPuA11gfc71w jk7zPT7G52tzv9pcsFPcp80Dow7+1+nGbqjr6LeGx+La29xBMFgoEyfsrHon Bwv+0LuJeEAn1Ds5WxfVOzlbFxsveErnGb8LfNzmkI03LvCL4B19mIiD0+Zq kbf5XFe4XZtzdo7nfZmvaaTPD//p7UTnOsrt4P/cYezgIF1T7+Rv3WB8kV3t e8v1TjBe1F/ve0Y9vB94N3CLbvMc7vDxopk4Z1f69zHB18ozCXcJ3hIcsRt9 /xbPxOO51e3u8rW2+VLwlHpn4jm97P7wdF40vvCLHjDeD/mYa4cfBE/o/URc pDbu97oOvB52n6Uzcbke99zgHME9avMawfhgz/Ns3wO4S23u2CMeq80Pe9T3 AK4U78KBmfgi8ye6Pw+4boKv8S7jCL/oFeP4mo/b/DD4EPDCnp/mnj3vOrB/ 3X2YGzwj+EYfJyrfW+/kosGtavPPnvG54SK1OWJveKy7PcabvudPGReuG24S 73e4IMTx4THAdYCDABeB+cNFgoO0fCaO16e+N3CX3q93csI4/jRR+8eMJf0+ 8jXCBWlzu8i/dB+4On97Tsgm+frgL33u653k4ycs+8z36SOfG+y+8TngfH1j TPtm4op9bzzgJv3sewMf6QdjDRepzQv7yXXg9av7gN9vPm7zuuAa8duFGwVH Ch0JBwl+0ueJ2r9d7+SE/WG8/nZ/rh0+Evwk+EfwZeDNgBkcpf88FvcGvg7z h38EDwmc4B1N5Xwlag/uK2fiinUkwox6+jBPOEVwjLhW+EfwkFbNxOuaLtEa +n6vn+bMxC9f35jCaWrzxcg5N3wx5N/UO7locKdeN8ZTfJ+QMb829ws+E/Xw lOAwgQu8I+bZ5pBR91UiTlMbd8rUgSUcJPqAI1ykOZNOjhe/X87N2JyP3xcc njaPjJw+bX4Ydd8k6guO3HuuEbzYe9Un1dr6Q9+rfzxXeEzdfQ/gLMFnGpSJ y7Vo0skPow7+F/ymNo4LuY57AKepl+8NnKXFPH/4R0snndyvJX1NS7hdmx+2 hHHp7T5tfhh9JlsOdg/498fvdzY/632MHdwkODzf+9mfzxj1dd08fh+0uWAr um7tTNyvlf3bhY+0irGAc7Sa7xNjL2e84Cm1eWf93aeH2w4wXqu7PxgN8jFc sEHGDrzg/sABWjcTD2xtY4cPfR3PH67RYOMxxMdLWrZ+0skVW9fYbeh2bc7W pr5u+EfwkDLPrYexg7MEh+lH9+2ddHLCNvK8N3X/JXxOzpcYi25JJydss6ST BwZvaYNMfLKtojzF8n7GF87S1sYPjlKbC7at68Bxe9eB6w4+BtMdffxiIhuW dRH4DnMdHLFhxn3DTFyuXYw1PKbhSSd3bXPPB04YcYtNsU/TqeGW2mGpeFMh noo3PLA9jAt8r32TTk4Ydb8k4ni178HerhvqtvsY1/3dv83xOsjYwQM70Fgf 4HabWsbxb26/ZdLJFaPPJpk4YYdEefZU8WZiyeALb+xQ4wg/7AjPH17XaGN6 lOvADk5Ym/810nX/JOJoNWPM68Am1XGa6vtW8HG29djw0eqpvtUFF2kHOMyJ jv9LxLmaqaYx4ELBg7o5ypmP4aCN8r08ONNYfKcqScUxgl/USPVNKDgsZapv MMElKVJxaODPHIkPx3WMDY8HDs+dUW76uJXquwNwNKZP9R2io6N8f5SnS8VV mTHVd3zgETQtG0a8LhXXBJ7JMZmug/70g4cxKuSPRrmLj0/KdA6+zTNDKp4E HImZLLuYOGeqb+IQn386yrOm4kF0cQ4X4rRMffg+zWzOiZ/PnIpDAH+AfsTa ibPPkeqbL8SiX4zynK6bK9X3Vognn51pLI5z4w33ZxvfT35D7KdeKpVve55U 3zoh1np+prH4Nsm7xDlTxVTns4w4atdU3/ggPjl3qtgwceF53ZbY66WZ+vAd jo8jXyBVvLFnqu9QEH/r7vqp3+hIFU8llnpVpjq+P9HN/YhRLmgZMTHmTfyb 2HePVLE64nSTotwrVcyHnBgSsZ8bMvXnWwgLpYp7EfNaxDLiRZOjvLj73Jap jm8MICOmQjxlAY9NLGnRVPEeYj1LuC3xFnBlDz/YTony0u5/T6Z27Kdfxjm+ /yVTxUWIiaDbuTfod/oRM8Cf0juVTx9//gqp7AB85Mul2peO7/yPKC/rPuT4 zfGZ903l88Xfu3wqvzY+7ddT3TNwfCLTWOzL/C9VH/qvaBl+5X6p9i3jN30o 0xw491qp9jHiX8nQvT7fKqn2FeP77J9qfy/+wpVS+X/x/dIWnyn+0lcy9WHv bBXlAa5bzTJ8gaum8oHi/1w91X5UfGZdov2gVL7GAc7xzb2VqT/7Rwem8vfh 61vDMnxgz2WaJ9fKGPjI8I/Njg738WbxHjvK74V1Uu2lxMczLzZpKh/PZ5nq 2Du4tmX4fNZMpdvQa+ul2seIb2Ow2+I76RF9N0zlOxmSag8efo+hqfbFsf5e N5WvBx35dab+1K3vfvhbNkjl78DXsXGqvWesjxmbdTtr9h8yjctesV74vly3 qWWsLzdPtY+LNfFGqfwR+CJoy7qXNe+S+M98/Gum/uyX2iyVrwH/wpaWsVbd OtX+ItYoy0b7bVKtI7dwzlry70x92Bu0Var1G2u3vxPxeqfquFT7Z1g3MAZr G9Y126Vae7Du2CnVvhHs2R1T7Z9h7bJSjL+D+5Bj02PPD09lm2KXDktlf2Mo wDWBEwBHoJFrLPZ8DMjUh/47W4YNu2uqvRbYg/Vov63Pva3nxJpszei7m8/3 v1T7IrDd9ki1lwC7ZpdUti92L22x56buq8jVB+7/+jHOnq7byzJsk91T2WfY Zvuk4tNjI2wU7f9IZNfQjxzbZq5c/eG/753KLsEm+TORDDtn+lzz5FoXS/Vd GOLPjMGY2Eb0+yuRTYN9gJ0A3/uAVDYH9saBqewGbAZsDuwGbAbsjloq7jQ6 HJsAe2ATMLfdgK2B3YDNgL2AvYKtgn6jHvtk02h/yDS2Ajm6D1sDewJb4oNM zz/PMHYDdsCwmvQ9z/dONdkI2BPYEtgg2AfYBtgL2ATYA+h5bABsjM3hvdsm wI7AJsAeQP9jc2BvYDeg+9vfo0PvYydsEX1Pth2AHYHuR+9jI6D70fvofOwJ bAnsKmwg7J8to+/p0+h7cuwHbAdsxyfME+M9j17GVkB3oje3ir7jp9H35NgP 2Jvo9c9q0vPYB9gGW0f7C6zX0cPoaHQ3+h/9je5Gn1OPnYCex1bATtgm+l5m vY6NgF5Hp6Pz0d/o7vmizdy5fnd8xwlbATsBfYwORv+i59Hf6G70Njode4Df 48KpeCXYMthJ2EhtOwAbYNsY+2rbAdtF+cZpdDw5NsBt/n3z294+2txunY2e R0+jo9HbyND12BHYAdgA2CnYB9gGr+XiacBr4LqYD9eGHYBeR6ej89Hr6HT0 Knodnd7W3+hudC96Gf2+Y4z5sPU0tgC6HD2OnkZfo9/Ru+hU9Cl6Hl2Lnh0W fZ+cRs+Ro9N3Cvnz1rvoZ3Q8+h19iwzd/Z3fcbzf0NvoYPTv8Oj7qvXrzlF+ O+vUq8jQ19gF6Gl0NHobHYz+5dmjLfoXnYyORD+iD9Gh6FZ0P7ocPY4ORqei T9Gf2BzYG7vEeT+03kXHoiPRj+hPdC16FlsAvY5ORyejL9v7zdGh6F/0KroT vYkORD+ic9Gl6L+pe8fjXN9Yd6JX0dPoaHQv+hXdis5E76Jz0ZnoQvTg/6Lv j9aR6Et0HvoOvYtORZ+iG9G76Fx0Jm3RxbtH39+m0Yvk6FN0LDoS/Yj+RBei B9GN6Fr07B7R959M+gddio5EP7Z1EvoIPYlOnVzv1IvoxD2jb2Kdh15FL6IT 0XXI0KfoOnQtenYv/G/WE+hF9CP6dNeQfW57BXsNWxA7cIeQ32s7En2LzkPf 7R3yGazn9ol81rxTvyFDV6LT0JfoSvQkOg99hy5Et6HX0F30QycumUsPoYPQ S/ul0k3oSXQe+g77An2JruyfS1ehp9BL+6fSTfgS2DOFPwFdjb5H10/MJe8a 8kNS7aXCbdqtJp9D95rqkCPj29q0Q+1tnqlM+y0y+SmQ851tysDO97ePSKdS QaZ+u/sgt2dc9mf1qKn+cLffMtMx5aNS7YGiL+0o9+T9n6kOOd/xphxZbVSq fV6UaUd5gZr3d6Xa27RNdBrNs1lTfrTLW2fqP3WcXHWNmnQze8DYw8Q3wI/1 vcAGwr7BtmFc9pRhD1B/jPtum+mY8vGpxuHe8a3yUT7vztHm1ChPH+XtM7Wj zYmp9qBVUR6W6Zgy14Gc/U98bxx5q6Zj9qaxj+rkVGXkO2U6psy3zSlPF+Wx qfavUR6e6Zgy/ZGzN4tvm4/1tU3d25ZqbxbXe4rlfCP9eF8b3zynbgbsjVR7 3yjfGfI7cu2X2CVTHfJdozwuyjPW9F1ryl1q2ufFHjr2dfG99NPdhvozXD4r 1X462o9PtZ9u5ijvlqkO+f8y1SFnLNpjg12Vqz37w/hG+ll+XvgeO+1nwYZJ teeO8tR9d6n2gvFtdupmjfLumcq0OS/VfjHke2Q6pkwf5Ow/4/vtyGfDnkm1 j48ydZTZi8b33qmbPcp7ZirT5qJU++CQ75XpmDJ9kLOnje+0I5+jpmP2A7IH 8I5Ue9LYj7Z39L3EbfjmPOU5a/qe/GVRnivKV6TaM0h5n0xy2pBf6jL74GjD njK+J39llOep6Zg9hnwXnTU270h8BXyjnnHnDvm+mcqMT7+Jlu+X6Zgy1825 OA/XeLGv+epU+xV5px2Q6Zjytan2hbInlG/aI5+vpncbct57V+Z6393g38v1 /m1cYxl7+G5Kta9yZbe/0WNel2tvIPvhrs71G+KYMvsG2ct5Q659f+xjuzbX uBxj63PNfB8evzW+W/y8tLnd57op1/479ofdmGss9r9dn2tvHnsSb7HsULe5 1/f0vlRl9srdlWsPFPt1bs41LvvWKLOHjf19t+Yaiz1gt7me/UOPpNobNt5t HvaYt+dq95iff57rJSxnzxV74u7x832Hn/cnPc5Tqcrsk7o71/Wxp4gy+4vY q3WfZeyJuTfXWOwjesA5+zZeSLW/iL1F9+fqw74g2j/v8R+y7IsoP5irP/tY aM8+IvYx3eF5s5frEdezb+O1VPtefnTfV32uR3PtA0H+WK69J+yZeDjXXpTP 3Yax2CvyhHP2LryTqi/7Rx7P1Z89GE/m+rZsW87eDPazPOV6OPu0YSy+P/tR qvZ8h/YZy+DyP52rzyf+nVzn39BzlsGX/zYVfx3u+hepeP9w/l/Ixf+Hy/9s LvnintdDnufzucaCW0+bZ9znJcvgm9MG/j1c9Fdy8eThT72Y67yci//TQR/W FV3sk1jSbV5wH+YCr539KfBTiPG3v7VDDvfhqVC8jxXyQ7DnGv00vfUe+7HR XezRRi+2rMdoh+5iTze6qrIeO8l9x7gvug/7GDsZ+5pvIcGJgQ9D/Ylug/6k zDnRvZwLfYwOZHx0PHXH+RpY+7PHeybrH/aBd7F+o4xeon7cNG04Rk9Rf7rb o/so0+8Ej4/OZ03wVSZbHl0NJsyJZ5T95zN4vpR5djsK8Q/gdTQKxbiJKWdR Tn38V7T9MxcH5V/ncDGWyMRNgZfyRy5eC1ysv3PxW+CJ0Jc28IL+yVUHj6Re iK8CX4BrwPiBA/FfLi4LYyKjLdyEPpnk8FvQ/9gBzKlPLpsGbJNC48JLyJ0T n18xE18BrgJt+noc5khcH95FUagPMfvSOXHjViFeCjFY2qzqcVJfL3H4/pnk xPqbhbgsHS433B+8xxp/bCLKp/i+8I0A3p/s68fmmMU6CH2ALkBncLyK7Y4z 3eZsl7FHsCuxR7E1sWH5lgGwYvPyvYO8Jt3CmLdZdoTlI90euxjbGfmRlh3l cXiP8D4ZYt3H+2UDXxu6Cb1zj8voO3TFrX633u33EWNwzehK9OMtLnP96FX0 K3r3Bs93Zbe5zuei7dXui46lTD06nL7oZX5jcJXgVmFTc/3MbyouuWxyvgXB miREU9cZfFuB9QRrFOSsc0i0a69LDnZ7xgBnbH6ebd4jvfz8ch+xRY/0mKxH kJ2ad9qoPNdn+pk9xu8f7hffoViwpvUTayrWVyS+Z8GjcIzbsHZgLcKahH74 Ho/29VA/ym2O9D3uWdP6iXVXe66H+dr4/gbnYo3GfEe4zDkP9HlZn1Ee4euh TTfbHtxf7AGeWd4LPM/TF+JpwBf4LWS/5uIF/pKLrwlHtHsmziV8y99zcTjh zdEWHiY8sim52sBr/SkXxxWO54yZeNtwtifn4tPAhf4+yt+5Hef62eMyzk8e d55MfNkt3J4yXN/fU+2TYY/M2yF/K9feEsrsM2Ffz5u52rBX6NNc/Hv481/m 4qXDxf7Tc4X/9mOUf8jFi52U65rh6v9sGRzPz3Px2uHz0x4e7VReUC5eOrzp b3PxveEUM84XrsP39mAmHxs2Nf4H/Hl8J5r9RaMdU8PPht3N947Z08J+Fnxy j2edcTH8aQ/YN3l3Jt/eJR6n3Y/vJvNdX/akPJYJqwddh/w9Y3aX+93vvuyx uiuTvQEecJ/gCH+Vi8vexeUvPc9vcvGw2/f3W/eZLZOc+0UbMJrFv6MvfU+5 Pw9kukfL5VrHoqO/c1s41MvkWj/z3L0b5Xdy7bEhZ58Ue3pez7Wni71pMxfi asCBmTXKsxSdnAZyOAzTFeLrwF2codAzAG9mxkIcHngl62Xi0zDO0Exjwv1Y PJdfgGeWvrRZ1GO23H8mjwf3huvhGO7Iorn8F7yfiRsQXyBe0SOX/4VnuSrE nUI3rZGpzPjdcvlreMZZD22WaU00fy6uCWXmC4cDnsxSufwR+CKIgWyX6d3T K5evBD2yQC5/De/JhXL5ZTJfQ+n3AnPm2tmD06UQRnBxPs61v4X9QZ/l2ufy s5+1T3LtdeF+/ePn9N9UZfZGfeB7+JjvHT5r9uP9lOr3x++hzPTM/udn+Q3f 77fclv1nr+Zqz2+Va4MnBP/qC58fsD7MtX+G8/J+W8jvMewf3mXYPbN4TvBc Fs7U5iw/75/5fcGc2IPDfh3G/MDHaabxebeAyUfG4v1cz1jNZfZTsfftI8vY e8TeTL7DzjuANRxrNNZij7nMmm7pXM8Av3/s1d65bCfyPi5juy7tNtiZK+ey OfE18jvgN7BsrmeM52ulyPtZx2GbreQy9ufyuexq7ORl3R5bZQnrLMZexeOv mstfid2L32W1XHYO+cC80w+zei5fyhqRr5l3+k/WyuUDIV/b5fUiXz+Xj2Kd yNfN5TfoG/mKuewxfCTrWI5PY3AuXwR+hvXcl3ms4Llgv/V1X9pu4PZwCfAF 8z6Gh0Ccg3cw8VP81/ip4U4QjyHuAo+IuCDPLrwgYn7E+fDRbpw7hpgprkZM jZgyPnT85nB7iOUT54PDQ9yOmN3QyDfK5XsBp0HGipgvfnD83cRA8XHj377S fWg/JPINc/lb8McMcRk+APEJYhPEHImREPOAk0DshBgJnAdiMMRaiKETJ8Dv T5wXPzj+buL1xB5YV8FVIJaD/oEDgG8dvzr+sDV8T7GXVvXvoRU/zLKlb62t HC/L8U3FJY6NH+mJlb5Ze0Lkx7b0bdUzonx6pXOOi/zMSnGLHSMf1dL3gbeL 8rBK32DeHHu+UkxopRj/pEqxkV5RHt5UzKd3yJapNNc+kS9bKW7UN/KVK307 fI8Y56xKsZazI9+z0JrouBhj30o6fqeQ7V0pxrNH5LtXwnjZONfopmI4p0V+ TCWbaXTkuxWync6L8vEtfft0YpSvrBRTmRDtx1dag10R+eWV7sM5kZ9f6buz q8b4F1SK7cALInZIvHDX6LtCJVtkoWizaKUY2gaRH9XSt6mXDvkhTcWmto9r 2bpSrGu9yIdU+hb4mpGvVTl+FvmgSr+RdSLfppCu5x2LX4B919uEfIdC9tvW 6NBKcbX94jzrVrIPFo/z7t1UbG35kG1RyF46PGTbVrL/tox8q0rxs26Rd68U C9w42vaoFDvsCvaVfncLxJhbNRUD3DbyBSrpngUjX6TSd/d7RX5YS9+BXzLa b1gpBrhF5JtXeg4WDfkqlWJBPSPfpJD+6hflI1r6Ljrv3dv9HoYPRvyY2DG8 MuLQxJjxZfKNtraP80K/c8gvchnf6sXTvJeQX2zZJXmnnxa/Km1JfN8N/yv5 ZX6W8Tvy/z37+V1HX855qcfCv8q34y7w+5D3A/5cfLLEoIhhEb/CTpkply3B s02ci/gqMW9i38SssHHmyGXzEMuaMxfPAh4szzHf9OP/ju7n989EXzPXCZeD mBnnXMN94M0Oc5m+vLe5zguN4fm+5hFeN3WtaS050eURLrNOxB+MXxg88Ini D8UX+oCP9/Ka9ybL8afiY2WNy5qW9Q9+V7BknPm8/kXOmoh1MO1ZF+NnZXzG JkY0c674Hj5+vmfX9tlPsM7iW3Pj/d5G31Fm3X+h54gvnxjC2W5zjsu9rTfx IbDOpg3fB+xj/Ugs4Xy/Y4k9TPA5z/N5z3d73r3k57rMd0LhiC/knO+Hck8G +Zgyexb41m3puGuRK3bKMRx9+Pn4SPJc/hN0IfFc4sD4df7M5PNhbbtYLnsY u+k721foKmKyXztG/X2mmDP7ffgeNN8iRt/wjifuja8OnYAuaPr6Ssd7iQUT N8YGIZ6KHQJfFB4J3BF4p/BRZvO1LO7r4b7jL8aPTdz7r6wzXt2RK+bMdbBP hj0yfPOX87KP4xvLkeF/wmB+2bL/LIfbCbcDXsfp9jdy/exlYj8Y73zW8gvm sqt75rK5U/suerqM32ORXOsC8kVdXjiXvR5/U8dYyOPwLMFv5tnaN9UaAPt/ lOVHJ/ILLey+yOa1/AxfG9eLr6BrrjUFfozuudYgYPG779FNLrfnNMXzwqZB j8EXwF/4s21mOAW/ZOIaLOTfEr9Hxu7h8TlnN5+XWP10ueKxtK3cnnVPK9c6 CDuOOCu23GjbzdjMUzmxmbg2+A5Yq7NOn89l9C/6m7V6W/aL5fgd8DNsYT8G awN+t/gDOManwfqXvqzxu1pOG3Q84/T0WoG+9OvqMbe0D2SKx2fNS5l61j2s HViPsP5mjXCn1+msl6hnXUEb1kcdXj9MvfGZ2t/l9fv77stanDV5F8+d62bN zvp86jq9Ln8G/gh8ES3LaT+H2zNH1tys0+ezT4N1O+t6YgnEFL6oKSfG8HlN 8RPK1L/kNsiJvRCDITZDIrZC/OUtl4nXECchnkIshngIsRJiLsRSiKm857aP 5p2xG+TEWVj7gxXrStaFrA9ZM7IuZH2I/wdbBEym/q+VTH4J7JbpPUfmhX+C OTLvOdwGvw1+JvxN/EZI+CPwRWC74OOgLb4LzsualH6TPT5t6buS8fzO5T99 baxbyd/2deKvokx9nQVcJd/NuvGSW6ep+l6RL9IU52ulSvYrtutuTdmC2IHY vDvb7sXGWaQhOwdbbB/bY0/HQvDJUv9nb/+m7DZwGlzJLsQmxG5aoiHbCbty wYZsy8Wj7WJNxYruiDFuK/V/C5cP2XJNfR/ovZC9U2pN+2HkszXEa+sd9X2a 4rKtHPkqTXHQfoo2czXEOx8Qsv5N+XHuDvn0DXHXnovyTA3x7HpEffem4kzf h3xyKb/V/CHr2hRHj3gdvxl+awtXshGxD7PI52uIv45vAB8BvgXySS5Pb/nU b3HkWv9ju4IvZZ4b1vas4Vm/s+7HF8Dzyu/gHf8maUd//CFtXxV+KnwN+Bzw nfJ8f+j3wCZx7Rs39azn7jvFvgJ8Ctio2zVl+2L3zoqtXen/d20YsqFNce6w kbe2nTwHdnVD/L5G5GcHVhf7HfKRx2Qsxuec+Frw3YDNVD9HLp8G+acuNyzH B7JmnGetpviAb/hZ5tnkeSduS8wXvUA8ifgTvlbK6AjiMCg44kTturMdPyK2 RGyLOBKxJ2JSi7hMjAC/Nf7rW92m5vbU/+M2C3pMzkWsrMOxH2JExIyIMbVj Ttg2xKCIM71sXZ84FkUf4kafuj3tiH8t4zLt+7nNZ44xZW7P2IXHx17imulH e2JMxJuIZWWO2WFrFY5j0Y55ErMjNsK8mGs7nsfc8c3ho2vHvPA/4s9Ehv8O vYkvkjpiYfg7p7N/El8XfrxVvC6Yoe2vzOQLJRawmvsy5uqWL+ox6YufDdkM ljOnpueF7q7sP8Qn18X+tXasjmsj5tZ0rG01Y1K3jxZ/HL64wS5v5bXJzPaj 4k+lzDplHR9T5rq6+Nrwg85q32+7D/5YxpvVYz7LvWrKl/p3lLeJZ+QUflPx vOwT5TMzxe2J5aOjeMbRN3xXBH2FHA4A8W/WyPgheQ8SLydWTsycMt+1ax9v ax8762rW1G3OwQyOv7/qcb50e/r+4PGJy/N+xGeKroM3AX8CjgX8CzgVcCTg aMDPgJuBnGP4JG1Oxqv2Md7lNvA+4GzAwYDrAf8DGfwOxmmPfb/Hp+29bv+S 657y+NTBIYGvQfuXfM4Hfd4fjOHxxgTfL377nn434nuB+wBvAU4CvAa4C/AW qP/DbVJ8L3GPJkS/c2PtfhQGfyp/Cm2mvmu559HmhEx4Miacip+JoYf8aGyf KPeM8uHof34/UR6R6bpe97Wh8+BJMAbXAeehzcF40WW4EpT5LfzseR3u3wbt 1jM/BJ4EHAl0GGXmSqKuu/khzBcuB9f7vHHg9/eM5Z+5DIfkPfdlTPw9h9rn c3fkdzX1jrk98jua4tLiT4VDxrobnytcNNaS+FzhiuG7wC/JngL2JeBfhNfF Gp/vKfN96jOdH+8y9h73gfsLx/+8TNx/fCXw9uH48x1R/k8z/+MY/yscsrns Q8CnAN8M3zCcOdawxJe5D6z9+RY23x8fEfnmLm9mn8CBmdby+F/hk+GDxT8N jxAf9YBcPEJ4Yvik4fzhl+bbufz/df6HOH5leI34h/GLw2vEH44vFi4ga/bJ 7kN7Et9XRcZ3USnzv6f5Di/fQeb/ufNs8v5oP1O8V8a7fpzb3OJjvpnM/oxT M+29YB3L3gr2aswXv8d5Ih3mdnzbmn5vxv18o6n3KxwufFY80094zXuOcRpl 3Ijv8xzg62AfyYmZ9oXw3dLLfV9aLrfndJHnhf+LPRQTbV9hR2CTT93Dl2lf xUvGBwzO9HWOcz7W14xPnP0m7F9h3c4eEPaOsNfkrEx7RNgTMzrTfhd8ODyj +GTwm7MPjr01+LXxHcLlx9fJd5T4hhL22DOZbCp49+9n4u9j57+Xyebnm1rY ufTbxH3xLfOtIf4XHbwhvomHbcX/8dzfdQe47cduzxrhk0y2fbs/4/ENuKfc l3fCLZneD3yHlG/FruX8Wpd5v12X6blexHXcE/y87BNhr8nU/4edaYzhLu/s /GaXH/J5ifGy7+TWTPtXiFuwl4S9Jjt77cwY78f78r2GuB7sb/g00x6F5Y0R +KD7JmbSTeybuTLTXhP8HexnYS/OCL8LeEb5PwX8TnlGN/Mx5RVdxrfJ/qEj Mu1/wlfL9934thtcF97BcEiIqbCXiv1V7NM6KNPeI+IN8PnZq0EMA18++0VY 276RyYYHd77Hx30g5oFvm30hc3le7W/J0YbzE//A98zeFGzglzLZulP3tWTa 18I1st5iDPq/5jJ7RN7MtM+D8V70mOyDeTnTPpK3A+N3GtrLtXQ8x0uWeib7 RP5ToT1nvUJ/LdKSj2TxyJdoyd+zaOSLteQnWijyhVvyncwZz/0cTa2VL4tx Lin1bp0YednQ/qcJlWIJ+GuWjH5LteQPIg5zjmMxx1eKx+B3O6+pmAT6k5jD Kg3FHc4nBtGQn2lI5N9W8ssMivHWaCnes3Lkq7QUc1sp8n4txQ4fj/ZPNMSh Gxiy1VuKH64aef+WYnIDIl+tpRjkxtH2v0p+6s2jPFNL/uilI1+mJd/YspEv 15IvsHfkfVry+fWNfMWW4qJXxDwub8p2viTyS5vas/J3jD20of0Tr4bstab2 YfxBTKaSn/TRkD3SlH36YOQPNbVH5KGof6CS7+/RyNdoaL/Lq1F+uZIv9flo +1xTtvYbIVunoT0uN4bshqbWItdGfl1Te2KujzbXVvKHPh2yZ5raU/JVyAY3 tMdlbMhOaWo/0OlNxZnwPxHvWrGhmNdOxLka2p+0Q6U4Ge+pI5qKu+C3IE51 jGNVN0X9ag3t+/mCWFYlv9tBkS/X0B6m45uKgeE/OyDk+1V6P+4Z+V6VnsMz A++zIu0bfZcn7tRSHHrN+B3+WngvY5S/KrTPcoYoz1hKZ4+MvN7Qnrkj0G+l 9HEV52w1tbdvhsinb8rPlEWeNmVXXhL9Lm0o7jou+uUN7Rc8Dfu9lN6aNdrO 1tQ+v47I603tL2zQvpTNMTiud4OW4s+fcj8b2kO5etSvVsq+mRSyLxqKCXQL 2XeF9oC+GrJXGuK1rRNjrNtS/PZF7kND+z6HhGzDlmLVm0e+RUux26GRb9RS rHrTyDdrKXa7ceSbtBSjvghsGorhbxbn3aSUHv2R329DOn+WyF8spWPWin5r txR7XzjkS1R6l82Iz6OUjmlF+epS7/Q5ovxJKa5PzyjPXUl3rhfltyv5/ReL 8oBK79a1eJYr+cG7RrlRiVc0T5R/KcXj2TLyPwvtPe3P9VfyC/eL8thKsYH/ RZtdS9lAe0b+b6E9ppOjzXcN7UP9LfLfG9pL+lfkfza0Flkv5rd+S/Hmp/Fv NbQHYIXID63EK1qde1IpPrFUlDeupPuxiVjXYIP1CfkulfR374aeH56dGYgz N7xvmXh0Q/v9FotrHF5qf+ykkJ/ako9655AtXmgN9WHIP6oU8/gg8vcrxfBf jPwQ+wQ2aOjZ5rnmmfvSz936Db1reM8w111KzXfzyIe3ZDs9GfJ5Cu1DTkP+ RSEbuicc11L7hLH3X6pk8/NOet3vpR2jfodS3IRhke9Uyr48JMZeqJLO/KvQ /ePeEQtdv5KOmzfkpxficK7b0HuNd9qgaDusJVvv4Kh/odIev9ciH9tS7Oaf QveS+8gzNKDUc8SztYafr8OjzceV9vidGm0Wr7RPj3fwp5Xew2s3tIZh/bJ7 9NulJXvzOeLGleJD/Kb28O/qgBjz3kp7FDcKWa9C8Vyem41LPTtrNvQe5x3+ cOQntxTTIb59q2Pc/xX6jfL73LepODoxdN7l91d6n98X+YH2Qf1S6D3CO4Tn dQs/szdEmxNbiqcMCdmGpezgu0J+ZyWeyLM8f5W4Jx9F/UkN7QfeIMqDS3FG 7o76eyrF4aYL2ZFe8w5s6J3O+xx9cqN1yuEh37IlfsnCcW1DS+0Pvzrq9y3k K/uj0LPHc/cJcXD7cNB1j1jfEVdfsZJtc1q07V9pby24jje2PBO/V3ou4Dtc VylO9HlD5+a8Z0X5okp7TcHjwUqYnBvybyrtadwPX2VLe/XRLacU0i/jo3xO pP2jvBZr94b2ySN7rZAcPPAFgMmZUR5TaU/sAnA8CsWFzw75LZX2qb4c5a6F 9udfha5oird+SdRfWimOtSbnbGgdeWHUX9AUj37PkN9eymY/AZur1L7xi6P+ vkLfqDgH/Vxpn+oyIZ9Y6FsvPB+fV3pGxvMur7QPlt/gK5V+h+eFvEtL+0KT GPvzQuvzXaN+t0r2+oRo82+l/aj9S82TOZ4S8rkq7akeG+Wi0h7vfWO8d0ut A/h9vVDqN3ZY1B9eaR9C95CNbOgbB/Bu9q+0vqmH/LNCvgPeixtVejfCN9m+ 0nqhI9p8WsincEa02bnSXugTo3xvqf3oe0f7p0qtaU4KTE5sil88MvKjmuL8 joO7UmmfM/ygcyvFLQ+O+tsKfR9lXMjnaykWOjry4yqt0Q6MckclLuvR+D0K fStl/5B/VypueHKM/3Gp7+WMwU9S6DsoB0WbWSqtpcagB0p9F+f0kFctxc27 Rdtxhfjtgxqy57Dlvubd3tAerDcr3VfuKTygO80F+rqQPYQt9FHUf9jQ3q87 m3oP8g78vpCdgY1xLPGdQvvD8QF0tR9g/si3a2ltdXIlvMDq4Eq4g/mpTXGb 4DU1iBs0tUfqwoZseuz5Hi39zviNXRb5q4X2Ks9V6r3PO/8TnsdC37L6utJv mt8z74mH/a4YFfmj9hW/Huc5odDe5hMjf9K+1m9C/m1TPNTLY4z3C+1zviLK W7XEJ1khztu31Pr/sZCfVug7YY9E+eGG9gjOFvWzluLiPRzjjSy0f3t45LcX imPC4bq7kJ+wirZfFvINXUPMqtQ6dp7oO3dTe7NmifziQt+dWirKSza17wo7 sbStOB7dWMrfcUzkx5byc83H+qLQt6aykE0q5C9rRnmblta+M0WbLk3tJysj v7DQN5BeiDmdUei7ZTNhX5Ra6z6HvdPQXsbHKr2zeF/dj51VKua9MGucQt+d urDS+4533exRP0ep9TN2x4O2Pa5vSk+jo9FX91tn3Vzpvcw7GZ1wr/XCucQN C31HYEHWHE3tP7usKf2Kbj2sKW4cvDjs7jNse/9T6Z3O+3zGlt5TvKOOjPrd WvKfYe8fZZu/X+QrleJIZg2tAbD/Vw7ZKqW/bxKysaXWAt9Gm3MKfRft1yhP KPSdM4gh5xf6Ptm2PCOlfGojwLWUv+nAyA8oxRnZN/L9Svme+qDHSn1/ZOsY s2dL3/7ZKsrdW9qj/3OUpzS0J7Ira/SWOBVzt/Rb53f+Y8z9h0qczaShdQ5r nHmjTbeWeBgf8Z5rKUaxBc9CU9+wOQGbqBS35UR0fin/6ezRdraWOFY8W3O1 9HzNEfmcLfG3/o1x/mlon+Wx3FvHQVgzHVpq3fRnpXfZVP5P5ElLfE/WMXOX WsvgU2y25Fd8I+SvN7T/uNHSuIy5QLRdsJQfZ5OG1tKso7FP5yxloz7LerPQ 9xHIi5bKb0X7Mwt9P29yofUSa6Ux0W/ZQvyBzRqyxbHDp2vpXc97/rdCa0vW lR0NretY0/1S6R3E+2ejhtb5rPFZ0//ldf1SUX9wqW/TrBv5eqV8oBs2tPZm 3c275OdK7xO4q9O3xHvLIs9b4tItEv0WLeWL/CnaTqnEpWPd/2ultf8hUb90 oVjJmSEf1xSv/N2G7HVs9bNDdk+h72ANiPyyQn7+50vpS3TllfweGvqWDXH7 Z0v5+26JfOVCPv/XovxqKX7oojHm6oW+C7N2lIcU+lbLssRqC31HZs5KNgH2 wPqsXQrxEIir31oqLvF4qWua+v+JQv5E6T2iUV6v0LdjvmItXmg/w2f4PQrt T/g8ys8X2s/wRZRfKLTHYBJxiUJ7DKZrKGZPvP71GPuNUj7KKaV0M3r5mVL2 CrbKl6xrCu1bWJv3U6G4zHQhX6HQN4BmbogrAE+gf8geK/W9nq+jzSuF9myc z/NUypd9eSkbDvttqv+slA9txWjft6m9CFVDPjX8af14T5f6ZhDYX2L87yll /2H79Q3ZRYXi4LM31Yf2cDrSSryOWRviQ8CFSCrZHNgb3ze0zmSNeQPv+FL8 01NYb1bizzHXC0vNN69ko2CfdGtqzsx3w8ivLcQLajbkB8EHcl70m1CKx/oj 82tq/8kP/Pab+r7mRaXmwPWfHuXdW/L/42u8uJS/cXKUXy+0t6RoyP+C76VL QzwVOCpTIn+j0L4deCJ3lfJ3w7e9vhD3gGf9Aj/vk/ENVOKBwRe+sRD/4cBK th123ZkxxnENfRNq1UprRdaJt+GjK/R9tcUq2b7YvUMrrVVYpyzfkG8Lv9YT 0f7xpvbWzMz7ryWe60jeIZX2D/dtyO+Gz+0lfrdN7QfapineOZxzNl50tMQN fYVnpNB30fapZItghzwZ5acqcQ3xn42o5EMbFPVXFIrtvhN9325qj9FRUX9k JX79eyF7qtC305Km9BO6CXvw6Eo24S0hv7mp/bKj0JMNfX+Kd895fv/8FfUf FoqB/RfljwvFtOaI/M+m1lm/RP5Wof1XHxTy2+Kz/ZVrK8S9m6EhXg6cnH+x mwrF0u4sZdNjz7PR5JNCMbyfwa/QXl/8NP805av5G39koXjc/A3xcuDk/IZ9 VCgO90eU3ysUw4OHfnMhrto70fbdSlzV+6LNvU3t5cUHc24hP8xe2BENfbPs 96h/t1A874EoP1Lo+3mfRPmZQvumHon2j5aKtezSFK8dTvvDIXuoFMfzj4b0 B7pjo6Z46nDUiWMTz4YPcCPvnlJxkX9LvVt5ry4Z17tUpXgAPulrKvmlsa2u qmRfsd6avtSaC7t+qVK2/Y48l03thRoVbXqU+j4d9nJRymYe0JCPG//2TpHf VOgbljtEm4Gl4jPYofOWskXniXPOWym28SlrulJ7CPtF36sKfTf046ZsFOwT bJMPbJ/M35Idgw0zd0P8Lbhb10T9A4W+rci6fLlSa/MfSq3HWIsRa1qiVLzp m1Lvcd7hcLh+LMXjgv/1bSmOw5wNccXgiaG7vi6lv/A5bVo6Bh1tji71TsCu PLWUbTkWe7DQnj98CfzW+Z1/GOONKfStwNWjPLCpvaQ/ForTEKP5Ncb4rdRe zSFRf12h75I2Wa9X2oe5bKn7wb0YHG3Wb2p/2yaslSvFHfmNn+rf+YioP7Cp PZG9ou/CpfYPrcHvodD3UzeP8mZN7SfD3tyyIZuTZ3rvUs817+NLS72T94q2 txT6/ig2wlml7ITb4vy3V+I64yc7vJSvbDV8aZXiVVtG3xsKfTN1dPRdu9S3 AvcI+e5N7dnF77hbKd8jz9PWpZ6pSZF/UWpf1EvYlaVijfhRFivlS8HumLGS 7fFnyP4otdeqW0N8Nbhqf4Xs71L7XWdviC8IV3BKodgYcbFlSv2O+Q0TN+td KnY2XYzdqrRnC97cTJW4c/M2xEuDkwZ38r9S/Elsln9K2S3TY69V2kMLh272 SrHexUut7VnX92iIPwd3brZKflJ8pO+X8iPgQ+hSSdeiZ7G53ixld32JrVRq fy+8yLdLcYLeKvXen/rOj/IHpXiSW5W6B+D/fzJ99As= "]], Polygon[CompressedData[" 1:eJwtmnm8jdX3x8+995znPMMRMoWEIkqGZB5CJDJGGRKZQsic0qSkRIMy1LcS pWQoIUmJUkpJgzGU5hAVaVCS/N6f1+f3x7p3ffZae3ies5+117Ar9h/ZZUR+ KpVay580/x9OUqkZ0K+ZVOrzglRqW5xK7YBeAb8M3ovsKygMUqlD4K/CVOqP bCo1CfkbDFAL3Quhu8A9GK9slEqVgb5G9g10IXxt6Bf4FfS/GL4ZdBF4Nbga fatAD8FPZIypyO6DKsKfDc2EnwFVga8KzYZ/FDoPfg99NrG2zVA+69sP7ptL pc6PPVZ32uqx1hD9Hcx3lPXVBv/HM3wC3g6uiawG9BP4Z2gd/JtQC/ofZLzn 0G8JnYfsAFSfsc8G90r5HTwN3xiqiOwL6Cn6zoGqI6sBfchcPyMfD78M+bOs dQF0DPwV4zdkvG/ReQT+btqKgT8GTwXfBH4R/BK0CH4JbfMY+2moJvhLcGtk l0KzWM8U2r5l7A70/wnZAOY7jO6vUD9k99I2h7VcBJVG9in0BrI1+k2QN4fy eX9pqDjv7jf0NzDWu9CL6N6jNaF7M1QK3Y/BW+G3QR3AR/U88A2go+j/Br0H /y50KfLW0P+YuxpUFNkGqChrLwMun/I72gc+AK2Bf5XxfkNWFxyi+zD4bday HloCfgFayNjPaz+hX0d9eP7XoH/hv0N/BbLlUENwI2gx/BKort4V8ksY/1zw fsZql5dKDaXvcOgH5NuQH0PehvlzyGeBb0c2ETqE/DPtZ2SNoBnw99BWCf4s +jTleW4D38/YD0DnwO9EpyXyVrF/q/HoFIH/Cf2z4G+krTG6TaDfmW8V+ivh X4Ea692AuzN3T32T4E/AR+CPQqfxex0GZ/ntruL9/A4/jDEuZuwzI3+L1Xm+ t5AVjj3XYtruQjYJKgfeSp+LkNWOvTZ9043ofzryz9EtTP+54PpQOfBO7SFk n0Dt0G0PnYOsQey9HCGvAf6DOT/Q8zDmE+CaUAnwJmgife+AyqJ/JjQfWTOo MrJvoZbILoH+gv8b+oNnvYLxjrDWweAyPG9P8F/gkeD30f0AuoyxfqHtUvjW 0HFkr4P7o9809m/Vg3dWXnOBbwdn0LkCvgP0KLr301aOvmdFXsti2r5G/1Xm eww8VN8geAz4FLIbZfPAq8GPww/THgS/Dn4KfIP2HPg18JPg4foNmasYeDn9 L5ANQf4KeCb8EOR7wavAs8HXqz/6pcCvoF9L7wNcFvwauA44y/spD14LbgBu hvxPxpgJTsA3g/OQzwOXAl8HPon8SXAx8OfwK2WP4Acz3z88+1e0TSnwM5ZG /xfw/fAFspmRbYRsw7XoX4D8KPLp2ovIS8H/FFl2krYuyI/T9hh8Ye0h+Jfo PwW+Lzq7wMvB94MHgtui/1fW314R2uqBf8/aFuibPAD/JvoL4ceg/2PWe1x7 exz4NPQP0XYf+mnargGfAP8PXBy8D34t+s/Cj9L+RX6EtgcKbHMWgRPki8CV ZC/BhWUPwVXBs8FZ8HPgCuDv6btG7xd+hM4o8Mvg6eBB4N3gFeAH9e5lQ8DL ZO/BA8Dr+P3WQu9xPtcH70e+DvkC5KPBP4DfAD8DHgkeyfynaJvD/GfQNglc gPxp8JmywZHPANn+/rJP7P9eyP8G/wsVBXfXmQ4/Cv0tjPUC+C69K/Q/BS8B TwT30nkGfh58E7ib7C1jr4581hxgjLf0PJHX/j3P8Al4Mfq3I7+atrf1PSBv Cp+H/hae9dPEumr7CPlC9Ceg30NnDHgR+FZwT52H9F2q/aR3Tf8d8Dsjf/uy eccY6099A/Bt0X+P/h9H5pvqvAK/yHh3o99bNornD3OWddKZLN8FOlFgm/I+ +rsiy3qBP4TfHNm2ygadSd+yOcuu0jMz93eJn60leAP9N0Tmtab18G9Htl06 owehexHr2QLfnrYHwI3Bu8FXgv8DdwX/Ch4O3g1uB/4RPFD2D3yOzkRwE9l4 cBWd2eDm4Ang+uAd4M7g5uBqssfgVuCu4Jrgj8BtwMtY77WsL8t6f8fe/4S8 k3wY5EOQzwM3A+8F99BvgG5J+qCa6p7x2bw5a15n9Cb4byO/mwn0eY/+l6Hz g3w17THe3dHIe/Mq7PF29AeFthXjkG8DL5V9ge8jn5T+LcHfIL+Gth3Irwf/ Bx5L/4PgQnwDcm71zVdGvxK0M8/PNEjvXr+HzgrZeHQz+v7hy9L2o74N2Qvt VfBc5JHsC/Ly4O707QYVIE9DPeGvhjLSR+dy9M+l/4SUxziLuStAH8G/g/xc 5Lv0/Rf4zBnC84+n7THtL9Y/Ef4O6DD9H6ftJvix0NwC6wxFfyr4Kfhr0J8G fy80v8Bt8u0mg5/M2Mfrg34p8ARwN/Rv01kXe+wtKZ/Fo8GzMz6Tx8ie6Lwq cNu/8Clolr5F2cjYZ7rOcrXly1bEtj2yOWfAF4emFXjOhGcvBG2Ef1NnJO9q HFQCXBLKyrfTM+r8Z8y/4f+B1oPXyJ7Avy0fGPwSuAp9q0b2xZfqN5N/EttX zqOtMrJK0L60fbpYv598tJTnuFDfG7QNfqN8ZHQHQolshXwm+KFQYXARqB98 XyiCj6EKjFU+dqxzK7gTss7QKcUO9O8A3x46qW8XKid/MLau1rBD33LWvuEq 5K1YS2tot2wr/W+g7wioKHgT+DC6Z8c+u3QmBcjSjPEE8u203R07plEso7Z7 9LzoPFPgPbAS2VhwMfia2NjHmOtRaCp8NfnjyB6Husv3oM8b8gUiyxaisw68 AHxhxmdSO/peDhXN95jzkT0L9aL/1/Rfgmxx4r7qc7p0odV8f3ngLuh2lT+L /lvov8D47WRv09ZZoe8ZXCjjOUbBj5Y/h3yzfBrZs8S2STqvo/8I8soZP9NS 8FWR59I3/7P8a71/+D/lwyFvEZl/nLZTyP6LzWsNbXRW6PzSWc98k5nrbmhY vud4CNl0PQPyXcj7IOud+N2WRl5Fz8N4U+ELofOPYsXYvot8jt/47f6l7SHk 78unQzYUminbxm/YXuuVv1fgMbqBu0MPZhzjDeR77hzbN+3J9/wfY42I7cvI B+ipvRl7LPW5hrX2VnyneEtnCLJhsb99zTkQvi/0BLJHwKvl66FfPuNnvgX+ Vvn38vXRWYX89sjP2gH5INYzIHbfq1nPZGT36LxEf3uBY70+yKdnHPON5l2N StxXc/RGdr78wZTfybXyV+U/F7jPJ+i2De1b6MwfDO6vmJv+38mnRL9c6N9K OYUpsW2qbOkcfb+x35ne1cPgcbHXrLU+Cn4itk2VLZ0P7hg7RlBsME3PBL8g tG3qGtjX7EFbl8A+Z4nYZ5jOrpv1m8DfFlpXOt3Bt4KvgO8MLUV/OG29A8f0 8u265SyTjydf9Epwx8A+qXzhxuC6gX1i+cr1wRcG9pmbwA+nrV5gHfmWTWmr H9jHnC/fS2OCx6YdW7SUvxM4xrgEfiRtTcCNA/uqzWhrGNhnvRj+BtoaBB6z OXgEuFFgHcUKLXLuq5ihAfxQ2moHXmPj2DkZ5WIm87wHY8f4iu3f0PkS2+bL 1r8Nbsdvewz8lmx12rmEMxTfZJxTuJmxTmMPvA8ewJiFE58xOlvUVgq+pOJj vudNss+MF8mfhq9L/+LwJRLL1qNzNmOXThwryYf6jrlbywblec7L4L+n7XX4 6uj8EDtGV2yutpLyRWLHborJ/oS/XN8Q/d9EfljxBLQOfjJtR+F/1Xmd57a/ Yseoik31zFVjn9k6q+/IOPY9M/RYioHHIfsx9rvrh85X8F/GHns1bV/A743N D6KtLM/WRT4o/Ie0lVFuIHbsqJgxTnyG6ezSO2rE+MPQqcPYF0GtwKPAFwfe M3egP4m2IYFzID3Ad4AHBc5J1AbfAh4Y+IwdBr4TPDhwTqV84t9Qv518oqcZ ezBUCzyGNeWQj0feP7DPsJ+1jgH3DZwT2g4eBb42cI7yUvRvA18X+AytJ57x aoJrBPYd6+bMy4eso7XRVh18AfRN4hyncpsRuCOyQ4l9a/m8P+v55FMq3kS+ E7wDisEZ8PHYv4l+C/ks25BtTyz7GRu1R++D/kfgA9ouZ/xdiX1f+fDKvbUP LVMO7ovEOUjlHrO03UrfzxPz/dKOFRvm/NsoZnwE2WTw9YFzuAXwD+ubDpzD U6zYBdw+cMyoXERHcJvAOYkO8j9puwzcGuoKngDuELjPFeCbwe20dqgT+CZw 28BjKDdxKW3NAucoWsOPpq154DbFwp1z7quYWLmP9jnPpRyIciltwJcEzqm0 hR8nGxW4TbmUy2lrFTin8ivP+5BsUOCc1xDlYnL2/RUDKHaYpTUEjiGeQ/9e 2aTAOdeS8DO0p8FlND7y+7TnA+cMPwRPk00NnFNuB3+jnjHwGq4C3wLuFNhG r+f3H0Fbn8A+6pf0f0A2M3DOXLnPzqH3jnKgaeQFiW3PBvmsyl0n5mUTFFtU Cv2tKsYYJl8B+RH4K3j+N2P7wPJ9l2b8bDOVA8z4GWclzukrl6+2coljFMUm mzN+1udp+yvjZ1ZuvQnzHc44xz49cY5duXXNuTZ2DlG5wxczzs2tiz23cnR9 0e8HfQtuwB4/X+dH4thTMeZp4DWxcyfKmTRF1gQqg+5O+rwmWwW1YfwXZH8U /yaW/Uvbg/BDmfOmfK9Rvn2R0GuRj69vv46+uYxtQN3EPr58e7V1V74RvBW+ Kfq1Evv88vXVtiF2jKHYYhm4BvJuilmZewt4LHgcdEC+GGtopNxU4lhaMfqI xDlj5Yr3ZWwbb0jMy0bq27wT/FPG3+hdiXPIyh2rbTz8jZoj33N0Vb428W/V MO3caJ3Qvo5ypLXhr0scqytnMAD9IcqfIGtL21TtZ2gG4/2i/QE/JTGvOS6m /9zEuQXF8I/DPyF/OuM+IxnvGeVQwFehUw/9mxPnJpRDUG2mgfIPGddo5ieu SagWoT63gAcxRs986yxMXPNQrUN77mn4EchnI/8DPAf8JLQ832sYjOxW8EH5 l2nXUpqH1lVN5bbEOXXl0qWjs+JEbN9BZ4ZitaqhfzvFbGcnjsEVe38M/p/y regsAD8DDmQvYufKlMMrgixU/gzZHtoejV1DUu1Ibcp9Pxa7r3Lg8uXmgJ/N 2KfrrPM08bfwBW1PKbaAni+wzh7G3w1dAd8FWoDsOfnA7LcFGdeSloAXZlxT km1ZBl6csY1ZHrsmpFqQ2s7S2ZE496ucr2LPCsr/ZByDhsg6KobLc5vO0p30 X5XxmdpB8sRr1Tf5WewaoGp/0pmvZ4u9tpy+0dg5ceXCtcbFsWsEqg08n3Ht LxeaVw0wVu4kdm5UOdRV8v1if+t6ZvkOlzH/nox9iDaJY2LFwmrbGruGqNrh SvVBdl5i2/BpxrW5LbFlqtFVQVY1sUw+oGp7xVnDyxnX+D6NXfNRrUdt8lUq Jt4b8lnkW7wT2xbIxziXvhckzq0ppzZA8UdiWyCbp1zBBeh8lnHO4FrFn8i/ lG+iHGnimplqZWqrofM4ce5NObde6F8C3oWsBW0tE+cAFPur7QPWsglakbGN bIH8avqcyvOc8q2upu3rjH2sXolrRKoNqe1K+D6q17DevRnnXmqF5pWDOR3+ 49i5bNUgNsN/GNt31Jz76L9fPnZgn+dH2UK94wK36Sz+OrHvpDN5mvyVyHt7 cIFru+fF9mVV41Xuaze0Ou0c2AeqJUDH4btmnEuci3x02jnFPsoVRs4FVwzs G/wXubYiH2Es+ETkWkwLcG/Zysi56fLy10LnXJRreVU5DmR7I8/1J3OWUH4s Z1/gmN5Z6Bq3attr046N/o5ci1GMJN/mudC1Hvk48o2PR67NyEdWrHQscq5f MZNqxZ+Fnls1Y8VOf0WurSiG6gveHzk3XjlwLfg7aF3aNWHVFpvEjp1UY7wW 2b7IufBz0O8vWxw5V39eYN/9j8i1E/nwM7Kucam2tUL2LOschXITmuNvrT90 LUg1oMPwR0LXglSjuZK5uyrfwNrfU/ytvSF7BN6sPox1IjT/Pm2PgQ+A30q7 z0zlpsArwZ3ALejbHLohZZ3rE9cgVXvUGfa4bG3ouTTHy1l/U/qWlBNTLJvE ru0opn046xygcn+qUcs3zYtde5GPqlrsR7QtT7smq9zsN6F/W+Vo5dvmx66l yMedlXUNU7VL7VH5xqnYtTv5yPIFT0Wu3cknVO36ndC1aNWwFetnYteiFPPL ly6IXVuSTy3fMR27liMfsix8Gdm4lN+RYuffI9eCFEPrLsAnoX873Qloy/uq HjoXphz2JHDD0Lko5VyWZ21TZEuU07xG/lDo3I1yaC9m7WPIt1DOciTyuqFz NcrxKHZtFLl2rxhWsWPHyLlMxZD1ZH9D586VU3oDfGnoWoxygIvALULnApVT nA1uGjq3qJyZbNHwyLlV2aQiyCuGzgUq5/ZS1j6bfDXl1J/POgZX7K07JId4 V6VD3x2pCT4ZOket3LTudMh36xE5Ny8fbgX6hfT7oH9O2razf+RcrmzoOcxf OXRuTDnJd9EvCl4m26UcH7iE9q9yWeAjkWMOxRq6U7Eo65yFchWq2SuX1j92 rkk5NeXyfg5910E5PdWWO8XOLanGrNz9fbFzVcrhHwxdg1Dt4Z20Y9lnQ9dC FNMqdj0UuRaiGFa59pKxc0/KuW8OfedEd0205wfAH4xc66oWODccR67dK0ec jZxTVi5Zd2Qeyrpmq9hJMZRi818i12YVo6sWcWPs3JlqEsrVHQtdy1fO7vfQ OU7lNlXzX5J1Dka5F9XgVVtIRb57ohpD0cg+l3wt3TGQb1Y88l0a+Wj90D8Q ufZYJXCu8FDod6OcoXyrJ2Pn7uRjyddpFfmugHyeLehuDV2LVs36c+3F0LVw 1ahr0Ld6bNv0Om0X5GyTZYsrBa51VqGtQuCaZ9WczySdRWpTbbM6becGrnHW yHnNWqvaauf8G+jdnx+4llqTtqqBa6qqtV6Ys0w1V9UmL8o5N6EapWqh54HP DlwTPT/nM0C2X22qjVbLea2qkU7h+YuBS+ss0p5MfEdEd0MKB84N/JaYV47g FPwk+lRDfjr4BPgfqLV+G3CtnM8YnS1a89/IjieWyQfoguxk4tqgapTFcz5j dbZqDaeD72X8tuAzAvu+PULz8oF1d+TK0HPrDklezneKdJeomHIUoc90neXy CSojP0M1V9l25QhkGxPXIlUTXAb/kvwfbMtxxnsRfmliXjGG7gq1os8/Gd8Z GsvaXkF+Ar4nY6yEH0PbynzrKJb/SDF74Jj+48R3znTXTG2rEt8p0l0ijbEm 8R0k3T06CT6c+E6K7qIUCpxbeD2xTDmGjfDjmW+rLuWBK2qvQZPQL6dnhC+f Mz+Qtqv12+dcq1cNfyJ9f0k89nW0lc7Zp5Evo3f0FrL10KmM30lrxQaJa6eq wepuVJvQc+uO1AeJ7xzprlGe9jzjv5+Y7y2bBP924tyWxkyYKycfKvCe6cZY RXKuVetOwWnwhXJeu3TmKVZg/F3ICxTf8+09oJxwym051X4i11pVk30G/dKK L8EV0X8a3Xmx+6qtJLJSkW27arRrso5hFbvqjqB+y7mR7+LpN1Uu7uXId8GU k6sAXzGyrdcZsVKxT+y5vqetDrK6kc8anQEL6V8ffCTtmlI+fEHk2rHu1MxG /mVoWyIf5wf5a6HvuugOzi2MPSG2r7RVPmbWe1B7T3f6npKvFlmmd/Ks/JHI a2nGfHvouxvqnec1LNDZqHxh2m0bkb0XW1dt56uWF/ns0pn2Zta/qX5L3YHT 3lsU+e6c9qBi81nR/9+1zPe3uyXy3S59w+9kvee013RHUrnRtZHvDipHKluy MfJdP9mUjVnbJNki3RF8F/5u5dfTvqM1XWelftOMa95BzncQdfewROBcXSZn Xjk79U3lbBs0xgz6PhI7NtUYyt3XinyXUzn8k/D/QsXotjTtuwLzQueadYar ljQ+ci1aNSXlLu6MfBdNOYxXss6xKLeiO4+vZp2jUG5Cd+Y26qwLfRdKd6SU q5oW+e6qclbrs87hKnerO3zT5c/kHKtoTRPp+0zo2ozuLDyCfFPotconfC3r HKByf7pDqFrPn5HvDqnm83+qBK5d "]]}]}, { EdgeForm[], RGBColor[0.678396, 0.847102, 0.902005], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNnWeYFEUXhTGn3Z3umZ7pWRTMmDMGzFlMmHNOfGbMOUcUA+YcQFFRUURR ETOggKIIJgQVREEBEUQFQfC7L+f0s/6op27dCl11uqfiuTUrH99l/zMXbdWq 1apNrVotFv4NaatWUyqtWm1ZatXqpPBPDPd50qpVPfyPI65vQ6tW/wu5c7gv Q39a+KeG+ybkU8I/OdzXIZ8R/unhxoXcJfwzw30X8tnhnxVufMjnh39euB9D Pjf8c8L9EPJx4b8dz5oU8sUhXxRuSsgXhn9BuJ9DvjT8S8JNC/mbqNPAcG+G G2v/rXBXR/xV4X6PNNeHf124v0K+Nvxrwv0R8krhXoy0I8LdFLqu4eaG7sbw bwg3J+Ru4d8c7p+Qbw3/lnALQr49/NvCtYq63hX+neEWD/mO8LuHWzTk48Mf Hf6S4RpS1XNMuK/CvR5uQLjLI81l4aZHmVeGf0W4GSGPczveDjc93KfhRob7 Pty74d4L9124dxweb9374ZriWUPCn8izQv4y3KCQf2yQ/oNwP9n/MNwk+0PD /RxuWLjh4SZbR/gX6z4Kt2oizKaGm2Ldx+GmGctPwk2IZ44PNyHkb90O6vqb 2/FZuJnhRoUbHW6GdYR/t+7zcH+G+9KYfRvljQv3RcjlVFjODjfHuPIt/G2f b2Feg3Dk+XOtI/yPdeC3wJiC33zrCP/qdoD7Xo2tWq0Xbv1wWSpcFwl5sUZh CpZLNApHMFu8UTrCSzZKB65LNwpHMFuqUTrCyzYKS/BbrlE+z29olM/7b2oU duDU2Cgd4VKjdGA5md9NuFkhJ43SgWUl5D+M5Vrx7paJ8Brh6qnwq4acNwpH 8Ks3ygezqfQJ4f4NublROnBdvlE4glnrRukIr9QobBZFF/nmhtsg5JWtA7NV 7IPTqvbBbzX7YLa6fXBqZx/8ao0t75zyJvq7XrNR7QLLleKZK4a/Tbh1G4UX +K3TKEwb/T7Rgd/MSD8jXOp3jA78NgpXbhR+bVPhtEm49o2Sqctmxg7MNrWO 8ObWgVmHRmEEZltYR3hL61YIt5brzvtf2z513bZRbQHX7Y0j+G1nHeEdrAPL nYwj+O1oHeGdrQPLdRO9/13C7epvAfw6uh48fzfrCO9uHfjtaUzBbw/rCP8Z +PwRrk3I+4Tb0Pj9FO6DcB+Gey3c/eEeCHeAcQSz/f+D64HWgevBxhHMDrKO 8CHWgeuh9sHy33j+gnBbhXyk3z/4tUslHxHuKOvA7xhjCn5HW0f4WOvA71zX ieefZ596bZAIvxPCnWQcwezE/+Da2TpwPdk4gtn/rCN8inXgeqp9+pslyvG7 CLc32Ef99wu/S7gzwnUyxmc1Sg9+5xhT6nq2dYSPczv4Lo63z7dwvtsBlje6 ftRl3VQ4XRxumXj+0uEOC/kS4weulxlHMLvUOsKXWweuV9gHyyvtU5eNE2F2 dbirrKNe1xhL8LvOmILftdYRvt468HvAdeL5F7gdfAtd3Q6w7BbudGNWinY0 hTst5A1TYXlruNuNI5jdZowJd7cOXO+wz7dwp32+hbuNI8+/yzrClXhOOdyF jfreL3ZdN04l3xfuBrcD3B90O8D1Iftg+bB9sNw0EWaPhXvUmILf48YS/J53 m2hHD+vA7xGXQZ6e1oHxE/bBtZfrxLfQHHWvh7sp5M1SlflcuN7hbjauTzof efr4mWD5lMvgPbxgHVi+4bbRppeMI5j1Nb6E+1kHrlukwql/uDZRlxXC3RPy q8YPXF/3dwB+q6XqQ/g9DPRzaPeb9sFsi0T4vRXubWMJfgNcBvV70fWlTu84 HizftQ9+79kHv8HGjnYPMi6EV436rhLu6ZC3ToXfsEb1g88Yy+HGlff2kX2w /Ng++H3iOoHTCOsIf2odWK4Rz2kX7uWQR1oHltumwm90uPddX+r3uXEFyy8b 1S+D5dfGgnc1xj5YfmMfLLdKhN/YcF+4DPJ/5TLIz3g233Orcf/B+ztjCpbj jSP1+t46whOsA8v1ok3rhhsS8g/Wgfe3Lo+yWqeabzBG/hhusVjLLBpux1R4 Tw43xfiC60ZR3obhPgt5qnXg+quxBtdp1hHeORV+M8P9bizB7y+3GcyWa1Ie yvjDuIDrLKcl/Kd15JntfGA83c/kvW0V9doy3G8hz3E82G+bCO+/w/3j9oPl 5pF2s3ATwds6sPzX+ILlAuvGGxswYkzumAqbJUK3TJMwAo95jXpnPGOp0P8c /i/hlmxSesJLN0lHnmWblI/2NzQJA9rUqknP571tFHI5XCXcGk3KzzOTphZc q03CFGzSJunAjzx/GD/KmGWMa01KC047JMImD93yTcIIPK4I+Zhwx4ZrDjfX 7as3KT3h1k3SkWeFJuUDs6xJz6ROOwTG24dbJHRtmhQPxm2b5NPWTqmwZC29 ptsHNqs1SQ9+7ZqEKe1f3TrCazkt39Ha9sFyA2MEHiv7u+Yd7hvPKoW/Xrhd ol47h2sMef0m6cmzofOB2R6pcC4Zg7F+xxv7ndDWTezzHjZrEpbgtHMiedNw m1sHlh2ahB14b2Ed4S2tA8ut7IPZ1vbBbLtwK7lNe0bd9wi3YsgHpsJvh3A7 GTtw2tG4Et7ZOrA8xM+mLrtYx/e1m98BuHa0D66djCnY7BPP7BRunZD3Mpbg d3AqeU9wbtK3C05X+js6Ltx+1oHZ/vbb89xEOB1AW4wZWB5kH/wOtk+9d3V9 qeuhbgf4HWYf/M5wvfehnKjvgeG2Cfl4YwQeR4Xb1rgea/zA7PBUMr+BE5wW nE60z/OPTNXWU9wG3j+/rc7GEfxOclrCh8XzDw23e8inGqe9jMuOrtNp1u1N HdwO3v/p1tGeLsYXLM+yD5Z7JMLv7HDn/AfLc+2D5Xn2wfIqPxs8zreO7+JS 2mZszjR+PO8i40u9LjTuhI+JNh0d7ggwTIXZ5eEucHmkq5Wizwl/TpP6QcYX xvCfIvxBuA/DXWOswbircQWna60DyxPiOceH+1/I11kH3jc5LfjdbB/MbjNe 4HRG5Ds93PUh3+Lvg/Z1c1rCt1pHnr0TYXk7GKWqz43hnrJPHbv/B+877IP3 3cYUDDqnwuOhcPdYB36nRF1ODndxyPdaB8YPGz/64Efs8xvqYYzA4y6/S57x mN/l1eEedVrCj1tHnp7OB2Ynp6p/r3APhLvE73xYuGfDPRfuHefnmc8YX3Dd NxEefcL1tq6b89xi/J61jvALxg+cXrQPTi8bI/D4xd8C84yXInyn29fXaQn3 s448rzgfmD3vZ/KeT0+F8QDeQeB6Trj7Qn4t3P1u60DjC67vun1g86Z14Pe2 MaX9b1lH+MIo74JwT/CNpMJvUJO+3WeMxxt+zzxjiL+Vp8MNNt6EP7COPEOd 71nruhpr2nyu3/Fw40tbD0iE/UfhPjGm4DTCWBP+1Dqw/MzYgfdI6wiPsg4s L482XRauf8hfhHvVmH1tLGnTOankr8KNsQ4sxxo7cPrGOsLjrAPL3/xs6vKt dXxfV8czrwr3Hu1MheWEcJOMKdj8YIzB70djCn4TrSP8c5O+XXDie6c/ox85 OBFOv4SbYsw+DjfVPphNsw+Wv9oHv+n2qfd3ri/fywy3A/xujLrfEG50yEuU VO/J4S5KhdOf4eYaI/D4y/iB6xzjCGazrSM8z2nB6R/7PH+RkrCY6Lr38fu+ JBVm/4brFnW5Odz3IbcqSU+eRUvKB35/+5nUabGSdPTBs8J97ve/eEk62nNY IvyWCt3SpRYslynJB8tlS/LBcrmSfLBsKMmfblyG+j01lqTju8hKwglsliwp He8zDfl31+uOaFP3cDNDviJV+krEV0vKB35NJZXH+2GcZD7CfCUvCWvazV4e ezjs6VyVCrM2EX9PlH13uPkRbluSHvzWLKmdtG/FknS8h9YlvSfez0rWgfHK 9sF11ZJw5Ls4MhF+q4dbwzhSbrtSC66rOB95timpHjxzNZcBNmu5LmC8ebh6 uOZwG4RLSsLsoWjHg+FKIV+XCqeNwq3tfLyTjUvSg/26Jb0P8NvEOnBtb59x e7OScOR5W/iZYMCZF/htFe6xeOaj4ZYPeVPnI886fibPOD7cTuF2Drd1SXlp 5/GJ9MeF29HY0e4djAvhYxLhR7qbU7VpH5e1urHc3u+APLtYB9672ud9djSO 4LGH6wcGe4db31j2inY8GW69kHdzPvJsV9L75hnb+v0Q3tcYg+tRjiPtQcaO d3WgcSF8sHVguZ/zgX3veOYz4TqEfIDfAXluSYXxYeEON97gd6S/FZ53tJ8J BscaO7A8xjrCRzgfefb3M3nG7sYDLE4wpuB3X7iLwl0c7n/GjrSdjQvhk60D y/PcZtr3YrTjhXB7hnyS3wF5Tgu3l/HunuodnhGui3EEj7NdPzA419hR7jnW ET7T7588L8dz+oU7JOSzXAb570yF2YXhrnHbTgx3ibE40m073OFLreMdXm5M we8y6whfYR0YX1XSN8t3/bbPxTgju9bPod3X2Qez6+2D5Q32we9ql3GC8S7e 84l+D2A3INr3erhTQr43FWbdwt3uNoPZbcaRcHfrwOwht4E23WEduN5qHMlz p3W8w7fiOW+GO59nGT/qdb/xAr8HjRflPmAd4ftTpb8n3C1+tzzjpnCn+v0/ 7LqA5bNuB2l7+D2B3+PGhXBP68DyZM56w38k3BPWgetjfh/kedI6MB4U7Xg/ 3I08N9Wzeod7zs8Egz7GDiyft47w0+G6uu6PlvRcnvGC04Lxi/bBta99sHzF GIDfo6nkl8P1t47f1mvGFPxetY7w69aB8QD7vMM37IPfm8aAep2WSB7Iu7MO PN4xjuD6tnWE37UOXD93nXj+F/ap14jA7ONwvUiXCrMPww0J95SxGWoseYfD jSn4DbOO8EfWgfHH9sFvhH3w+yyeMzLcSyF/Yh1YPpkKs8/CjTam1HWUsST8 ntvBt/C+fd7/l24HWP7i+lGXMxPhNCbc18YXXL8xfuA6zjiC2VjrCH9rHbh+ Zx8sv7dPXb6KdnwZblDI462jXhPDDTZ+k4wl+D2TSv4p3GTrwO9v14nnf+V2 UNcpbgdYTjOOYDbVOsJj4/nfhPs05BnGD8yeTSX/Fm6mdeD6u32+hVn2+Rb+ NI48/w/rCP9lHfjNMZbU9exE8uxwP7sd4P5h1OWDcHeFPNdtAuN/jClYToj4 8eEmhLzAmILfIlHmD8avb6q6N4buhVSYLRbyfJdBnsUT6cF4iUQ+uC6VqE58 C8skwhHMfopn/hju15CXTaQD1yUT5SMPXJ62iTgnSycqg/xNieoDxq1Dnuc2 VRLhBX7lRJgSzhLpwK+UKB/v4bxEmFXDTxO9D/LUrAfjPJHPd9GcCEeet3yi Z4LB1GjHlHD/hryCcQHLeqJ85EkSPZNnwE+CS/Mg7UrFS3qjQeWO87s51Vwk +DQnm68ET+h085IY984y/wguzZnmKMFXOcccJbg18JXgJcGxWSYVF2lwgzhK cJHg01xgvhI8m0vM64Fbc4W5SHBpLjPHB27NVeYiwa3pbP4UPKFrzFeCWzPH fBu4Sl3NRYKXcrO5SPBpbjEXCQ7NbeYfwaWB97RiIn7ODeY3wWs5KdG4z3jQ 3dwlODevm2sD56bRvKWvQ145kZ7vZ6A5NnBu3vJ8oeBejXUcfCh4T3B43jGv hrnFu+bXEH7PvBvCpVS8pR8axFdCD85DzO+A51FwlQru0k+OG2reDXHDzLUh PNz8GsKrJOLdgMNH5uAQN8K8G/g3n5prU3B/fnXcSHNtprse8E44c+LZ8FgI jzbXZqaxg2sD5wa+EnpwWC2R/itjB4cFLkslFZ/pr4YWDtMcYznXYTCe5zDY cb5W8Jj+cdz3PnMjrpqKq9SqUTysBcaa72OG2zPK9Z1hLOHh0B7qBI8FjgvY wb0peEz4cHTADj4OcWAHdwX+zeqJ9FMaWvhMxBV8JsLgCAeHMM+Gb1Pwm/CJ o15wcIgDRzg4cHHgN6EH0zUS6f9saOEJwXHhO6COtAcc4ePQHrCDe1Pwm/CJ Azv4OMSBHeeXBb8Jnzg4UOjBcflU545t/R3Aw1mxsYXbVHCdVnZcwXNapbGF 21RwnVZzXHMqPlYW8pqJ2rK0MYWHs4ZxXMthMIJ3U3Ca8Nc2jus5jvbAk9nc OK7vuIJjRFnwntAnxhfODtydFVNxnjY2dnBy2hs7yit4T5s5bu1EeSvGq4Of XXW+TYzplo6jPXBkdjF2cHLg6Kycir+1tbHbznFgByen4EBt7ziw29Fx4Aq3 hf0R+C/wN84yXrv5ebS5o8NgsLvD4LeHw+skKod3AKeJOq9gTPd0OnDcy2E4 bnsZ39VTcRH2JU0ins5Gbj912s94wdMpOFAHOA4sD3IcGB/sMDge4jD8pkP/ g+OhjlsjFc/pcOMFH6fgQOEfYbyOdhzvmLp1MpbHOA4s4eTA11k/ETdnZ78n eDgnGMeTHAbHzg7v4HzHNLbwjY5zm3kPXYz1/5wHHOHqwIGB63TqfzA91XHU D/4OPJ51UnGhzqT+ifT7+J2d7HLZ3/nbe5bgeo6/AzgKnL9/YRzh6RR8Lvxz jeMFjlsvFRfqokZxoC4w1uAIl+di43qpw2B6mcMF/6ngQ13uuIILRdxGifg7 BUZXOQ584e1c7XrAhYETA5/obtcP7ODeXOd2w7cp+EQ3OA7sujoO7ODswN2B A9XV+G6SSA+OG6XiRd3i9wSf51ZjBx+m4End7riCF9Xd+FHHght1p+P4Pq51 e05yfQlvkooLda/rBBfmGWMHD6fgduHf39jCi3rQ2MHnKbhRDzsO7B51XPtE 8lXGEQ7PY342vJ2CG9XDcQUXqqfxg79T8JuedBw4PuU46gHP5XV/B9QRTtJm idrSzdjB54Hfs3kqHtWzxq6P48AOLk/Bk3rBcWDX13Fg+ZLDYNzP4Q6pOFKv NIob1c/fCvWAk9Pf+FHHgnf5muPgdj3l7wPs3nB7wHKgwwV3aqAxgmtTcKbw 32ps4UW909jCYRre2MKRIm7zROU8ahzfdxy4DnIYntRg49shEUeqt7GjPM5Z t0nFoxrqdzDY+Qu+FM/mGyLvB8ZyhOMKPtPXxg6uTcGfwofnA39qpPEFO3g7 cH22S8WjGmXsvnAcuMLloU+hv+a7P6exhS/F87ZMJL9pvOBcjDV+3zo8wPX6 yu/7E9cbTL9zOnD83mGwG+8w3Kgf/oMF8gS3H44PXJ+dUnGhJoW8dSL9h8aU M+zJxvgXh8FxisPUA15PwZOa6jjq+Kvj4FJN/w+m0x23Syru1Ay/4wmuN5jC 7ZlpLOHyzHL74dr8aTxmOwyOcxzeJpH8jd/BLJf1pfNRFvv6c30GBdbwXf42 jnB85hk7ODwFZ2q+46jfv46DVwWvp8AU+V+/s3kuF04BXBI4Itsl4uaAb7tE c2Lmbncl+qZ7G1O4PwWvCh8OELjC/yl4WPikA1+4QMSBKZwgwnDEkKcbR/g+ cHv2TMX1aWoSLvB/iAMXeD4FfwqfODCD81Px8+CitHM91nR4+0R8kDluMzyf gj+FDzcIPOD+EAeWcH4KHhZ+66YWvhQcILhUyGAKpwkeEHygfVLxqFYJecdE ejCFPwX3Z1VjRx0L/tTqjuNbgbtCe/hWqHPV2K3l9hScJLg1+6XiUa3bJP4U /KAG48i523rGaMOmFh7WBo4r+51vaOw2drjgURHeKRGfpqhHe8eBF1ygTY0X PKCCV7W548Crg+OoB1yaPZta+GFrNbVwqrYydnB/4ADBpUIPvrsk0q9s7ODn wAc6KBXXantjt5PjwHJnh8F4F4fBDu5PwVfa1XEFv4q4Q1Jxp/ZoEq+qo+u6 vPGmPXBG4DzcbRz3dtsW8rGaxAsCO7hABfdqX8cVXKv9jB1cILhBuybSt29q 4Vod2NTCtTrIOB7icMGvKvhWhzoOHA93HDjCG4I/BN/qcGPdMZEeTHdPxMfh 2Uek4lodbRzhIx1rHI93GM5UZ+MFpic4Dizh/xScrBMdx/uGCwRfB07NvcYO vE5zHPid7jDYneEweJ3pMPh1cbjgWnXxd0Ad4Tlt4Px7G1P4P/CB4CjBtels jHh/BccK/zzjd6Hj4E9d9B8cL3IcOMLNgaOzZyIZHI9LxbW6zHWB81NwNvEv N3ZXOQ5c4AEV/IirHQdm1zqu4Iqd09TCFSN8Qir+0w3GDn5Kwc/Cv7GphXd1 k7GD+1Pwqro5DhxvdRw43ubwXonks5paeFQFrwr/dtfjTseBH7+DggN1l+P4 Fq5ze+BV3WscOWvnDJczYLgVjG+Mc/9Lxc16kHeYiB90qbGDv/OQsYP/U/Cw HnEc2D3mOLB83GFw7OEwXLOe/6lTT8edkoqD9aTxg/dTcMrwexnHZxxHPeDb DPCzBzoMjvCC4A7tk4gfVGD6vOPADp5IH2MHL6jgYb3oOLB7yXFg2c9hMH7Z YbhUcIWK39IrjoNXBVcIztAZqThYr4e8XyL9A373vd2ebq5vb2P5pttDXeDe jDB28G0KHhb+W8buXcd1ScXBer9JnKx3jS/YwQsaZCyHOAyOHzjMs+GiFLyt Dx1HvYY5bv9EfKICx+GOA0f4Nx+5HnBzvvV38JbbA46fuj1gB1+o4F6NdBzY jXIc2MG7gX8DD2uU8T0wkR4cz03FwfrS3wF8oa+MHXyegpM1xnHUY6zj3nYd C07WOMe9YLxpDzys74zv+an4WOONIxyiCcYIXlDBw8KfaPwmOY72wMH5zThO dtxgp/3BOP7suIMSycObWrhZU5pa+FjTjBnlFZys6Y77yGnhJMHDmmFMC17X VGMKhwgu0aWp+FILjB3cIbhEF6fibP1h7GY7DuzYDym4WnMcB3ZzHVfwtOhT 6KP53u83XvCF/nWb4QgRBgM4QoTBD84PYXhb//h7OiRRnb8wpnCCSAeOcIEI gx2cIMIFH6vgZ+HDKyq4WcQVfKyCn4VPHFjCzSEOjOEBEYZvhQymhyfiFhU4 IsM3ujIVH6tcEl7whQo+Fz4cI/CCC0TcoYnq/LOxhB9U85qDtQf7T/Cw4BaB xdWpeForGEe4Qm2MI9ybtt6vIh9l8Q7IS1nMqxh7TzL2KzkPOMIPWtnYwTMq uFqrOu6IRPoljSnjRsHVwl+91ML3otyjUnHBTzbea3m8YS3EXJO5M5wseEZg en0qbtaGJZ3bc77M2fNRifhHBb7I6xtHOEIbGd9NHKadcIjgEh2biFOzgTGF N1RwuNo7T91p4SDB1SJva79v6gb/p1sqflWnkG9MxfHa0ljDG9ra7YcjtFOp hV+1i7GAg7StcYRzVHCytncc/B34J2cbo92cn3ZS/738nrb188Cyo9PBUdrd Yeq6h8NwtfZwG9q4jlv5fe7oeoAdXKF9nAfezf+MC1whOENwrw42pu1d1/2N F/yjgsN1oONuTcXNOtTPg7NzmNsJVwjO0KmJ+AUPuz3wiwoe1hHOs63THmmc jnF+3tXBfjZYwxE6zu051umOSyTv6HcAZwgeEdyrk40R+J7kuI5ud8Hh6uw4 cIebA0fnhETy3sYFPlEXv/MTXA9whNcDv+eOVFyu041xF8ft7/dM/o1dFvFH J6ovv7F2rvfOxvVcfx+0H47QZW7nFQ7DQ4Inc6/xg3dUcLgudvyJidIf6zbD Hbqm1MLHIgwfAY4JXJ0LXd49bhscooLbhX+l232N4w7zcy70M+93nY5yfS8t tXC84CHdl4qzdXPId6XipV1g7OAgdTNGcIrgHXVOxDk6zfh1dxycLOoLR+uB VFyru/3dXGoseH/khbcEX4w6nGxM73BZ57rdd5RaeGngUvCNXi+1cJsKrhN+ H+MBj+hRY/G4w5c6/wN+T3zvBe/sIceBXw/ngZP1pDGirvCJ4BXRj/N743cG p4+2Huz6we0puGA9XRZ1f9Jx/0v03Cv8zqgj/espicoHl0dS8cCeod6puFn9 Si38rRdLLVwrsIALBn/pOb+bPg5f4rby7m9OdKbCeQrfELyklx0Plq/5HcOJ 6u13/pzDfHf9nYdv6FWH73c+wgf5nfPe7klki8ueKO2Dl8T4cVEijspDDcIX btLbxhTO0WDj9a7jCr5UwZ96z3GnJ0oPXk+k4n594DbDOxpeauE8fec2wPMp uGD4H7p9wx1XcL8W8pbKeu5CjlZZHB/CBSfsY7+DTxwGR3hKnxlLeEdfGq/R jiu4awWX7XPH8f6+dp4zEslvGBe4LXBceqXimY00jnCTCi4Y/hhjPM5xBffr W2M23li85npRD/hH8JDgJpEH3g38my6JeExDjA08IvhFvVPxwH40fvCOCo7Y JJcHdlOcB4ymOgwu8IjgITGHY1xknIT/Ne0/OE5znudS8cCmG7uZzj/MdZns NsBXmlVq4YfNLLXww343pvCY/jQ289zOsxLpvzZ+tLvgiOHPNnb/OA9Yznf4 nER8r4nG8k/XA17Ygv9gvcB54IWRvlW4F1NxwhZN9K1PdDy8QjDoW2rhhC1u bhccryXMBYMTVnC78JcyFwxOGHEvpeKfNSTii6GfZtzhgTWazwWvq8kcK7hW JfO/yv/hduETR9vgihF3biJ+WIEpcsX8L3hgcMOuSMSDgQNTcMKIA3c4YfC8 wBQuGuGLE/GXXmgQvnDFiIMjBj+swBGZuOGsjxLd7fSYfyd8+5dbB9/n0kR8 JrhMlyXiBsELSiPvlQ5/kyoPdx1dZZ89fb4F6ki9SQvfBa5LHumvcfiWRPeD cJZ7baLzAM4Cbkh0/w7ch6sT8VfgrrSJvNcn4n1cYx/ux3WJeBVwKoiHlwAn 4cZE3AJ4BXzvvGe+gzmpnsH9LquG3NV5brKOM3x0nOtzpj89Vf2o01ohd3Pc j6naTL0XLSs/7dkg9LclOrtuKKud3Odxu33OWm9NdK7MmTJpOYvlHHbTyHuH w8ulwp33WisrP/dbLOffPfPlbn4O5+Pk4xyRM8Tuic5ZOWNdiblEorFkK+YR Tneny+OsckFFfSN9DPGcyXEe91zon63ojP/+RPcacF60dlnjE+F7E52ZcV62 G3tsic6g7rPPOVT7svJjo/+Qfc5GHkh0JsR50N6R95FEZykP2uc8Zduy8mC/ /nCiMw/OOx61jrMC8nGWsNAmN9I/ncim81n77I31SGSnzb7444n2xNkPfyzR GQD7/4dFHZ5w3JOJbJXZ692/rPyEeyba42Z/m7TscbO/fUzkfcphno+NLvua R5ZVFuFeifZ22dc9KdL3TrQn+pR99kUPSFU/2tOxrHZS72cS7V0u3LeMNP0T rbPPKqud2GueFvrnE+0R9rGOfSx07HMt3ONKtGfH/sXZkf5Fx11SVh7sDvva Z9+FePZu2Ld5IdFeFftUFzKfctzLiWzw2JO4rqz8hF9KtMfB/sbtkf7tROuY 3q4je5i3lZUf+7NXEu1BsP/wqnWsxWkra3XW6feXFYet1bXsQTpugHWsWV9L tMZmfU086xDWID3LSoeN0U2Rd6Dj3rSOtddA15F1yxuJ1tustfsZb/Y0ni8r D/ZM79hnDfFWojUV66lXy4qDQ3pPPOu9ROuV961j3jo0EaefOci7idYDrAXe dlrWNeRjvstc96EoZ7DDQxLZSDDvRcf6kznx8LLiKLdHpP/Qce+W9WzyfJBo /sfcb1CieTNzZtIyf2Lu9DJrl0Tj1UeJ+PSM7Z+XVW/CwxLNdZjn9In0IxLN C4bbZ27wXVn54Yx/nGjsZ8x+P9L/yncN95SxOxE/+kL7Vac9P9HYTz2oD+Pl CIcZQ59O9TzqPT3K+aWsMj5LNFdmnjwq0RjJ+Eh/Sr/KWMY8mnGOMW7N6Oc+ 8njGuMcYzPjLmIZuhPmxjGeMZWtH+rH/GQPwGfsY2xifGJsYwxnDGL/WjfQ/ eSxhTGPcYsxiXEG3kMOYaAxj/GIcZoyGz7x+5P3N4xZjHWPbQg5i6P9OW8Ye fMYvxj3WKqxTGKsYJxgjGN8og7GVMY9xjjFusygn9zixcciLedxircNYxTjV PvSNHocYcxi3Fo5ZiXSMa4xbjEOMQYxvjEOMQYx7lMdY/4m/BeY7jEk8kzEI TvXnfhdbxLNW9hjDWMHYwbjDeIOONRFjFGMM4wvcAcYhxiDGIsaVn8yFYCxh HGE8YZxgjKAfpR+kD2QMYXxhPNo6nrupxxvGJcYbxpptQ7+d++ItQ17H41nH kM92v0kfTTzjEWMU4wpjCmMGYwfjDuMGYwD9P2MOYwnjyI5RzgEeJxh7GFcY UxhLGBsYF3aONEd5bNs15P+5398+5N09PjG2ME4wRjDukZYxiLGFPpf+ljGB fIyJC8+SEo0LjE88n/Hu0CjzPfcj9IX0R/RFjBuMAa95P58+kf6Q8YNxgjGC fp/+n7FjjyjnUo8He4V8/X/6enzGC/ps+nP6eXg28BXgMtDX0u/T5zOGMDYw LnSKcm73GMBYQV9PP8+4xHjDWENfTj/PWMDYwBhA/79v5H3AYwD9Pn09/fyB oe/j/nr/kJ9w/07fT59Of04fj44xgv6btPT59Pf03fTb9N/0p/SljD+MH4wd B0eZr7n/pV+nT6c/py9Gx1hAn04/Th++0PY/0djNPID5AHMV5m3Mz5ib0b/z fuj/6YvpkxlHDqcfcx9NH08fTf98ZOi/cF9MX0mfSf/MbxEdfTt9OX30RK/v 6GfpY+mP+d3ymz06yvne/TX908hEfVS1on6WPnZmWf0vfW877nflPcHDT2Rj 8liDbSIS2ZW8En3YF4nsU75KZJ/ycIPu1/3C5dzt+3Sxq+B+XdI9EnL/VDLp xySyDUFPOmTsLV5NFYd+bCLblkcbdB/vGMukQ0+9uLN3rOv5WiqZNNTlc9fz 9VTtIQ3jJ2Mq4yl39v7Ebwlbg0S2M483yL4DexlsO2gzenTc/Uu6HiEPSCWT /o2QJ1jPncDIPRt0D/DEkJ9o0LjOmM14TbnY5mAvQvwPTj8wVRiZev3ovJQ3 3uWTBz22JNxL/K3r8GaqPKQnDrse7sh9K/ST3UbuIkbuFfIviex9ngr5Xt9D jG3KO6ni0LMuge8F14v7itE/3aC5APZBzAcob5LLfy/yTnUaysJuCLsW7j2e 6vSEyYvtC7opTs+4zZjOWMp9yDyjd4PSYXOETQx3C/8W8rMhD0olk2ZmIvsj 9INThZHJgx4bGu4iRv9cyLMS2S4hE4eMbQ13LBP3PPVPJZPmz0Q2Teg/SBVG Jg967G+4hxl9n5D/TWTH1K9BtjbI2Kl8GHlnO83fieyg+D1yn/Ns/x6Zu6DH Xod7m0nHPdXDUsmkn5fI7gk96ZCx9eFO63nWz09kV/VSg+6CnmeZdOipF3dB z3c9R6SSSUNd/nI9aRsyc7BPUrWN9NwFvVSqvoK2YauF/c0iqeSXeVaqMPJi qWy4XmnQXdOLWCYPeuyNRqZKh557p5H7NygOey5sjpZIJaP/LFUYmbpgn/Vq g+6vXsIyedBzx/KjFdkQYePC3de0hbrRV2FrR7/E7wBbOL7/ZVPJ2MTdU1G/ hv0YMrZk2OXdbx32T/dV9FvC7utB+9hXJanswbAFe6CiPNhHkb7k8h+2Dlul hyrKT11Jjz0VNmujUrWTdtVS2URhD0X6qst/pKKysL15rKI2Y9uDHpscbLJ6 WoedSi/2Eyqy8VghlS0QdkCPuwzsXShneT+rR0Vx2NIgY1eDjc9TFdm5YJ/x REV2L5SzSioZ+5cnnQ/bkWf8zP2cvqfzUx9sTjb2ngZ2C9iArJnKJgSZfQ5s Q7BdeLoiPeU/X5E9BXz/3hU9gzAythbYsLzgPRJ47h9UxJmEk9inovzYDPS1 D+cdPbYE2Gi8WFF+uP7rp6rbRa7DU65TP8fDW2+fyjbgXufdxOlfqohDj23C KxVx6eGGv1xRfnjwW6bixMOHf9W6/k7TwWX2ryg/PPLX7cODfq2iPAvvy6yI aw5X/w3rRjvNdi5/+1QynPABFZUFx5p69nX93rSOed/AisqCD71rKm70DOt3 cTlvVZSHexnftc9ckfLhcMN7f9tlwPkdFPL7fh/k3T0VxxsdHGB4rO9UxAnm WXulkuEGv1fRM+DaIsO7XTz0g61b1XnfdlmMG9M9duyfijsLb/bviJ9T0fnK 0Io4pfAKh1RUFmFk+KZweodXxBGF2/hhRd8T4UNT8Uf3sP4Qlz+sonLhViLD s4Sz+rF18AQ/qqhcuAtHp+IxwGH4xLpTnOYol/9FRRwv+HJfhfxlRRysERXx EeFwjqqIKwiX7dOKyiJ8YioeIRzCz0I3siLuHWlO8HM/t+4hp4GfB79xdEXl wpk7NRV/Du7cl9b1cppTXP7XFfHQBrjOnztMPWk/vMmR9uH6feN2LLx/KuTx FfFaxlRUFrwr2tvFzx1X6EIeW1H+85wenhb8t++sgwd0QSpO1XinR4a3xnPg HcGX+baicgkjw0mC6/VDRZwl+C/fV1Qu4ctS8ZngMk2riLPBmfxZqepJ+T+6 HfBHJlZUFnwa2gh3B77TJOvaOM3VLvOaVDLcm58qKgvOys/2N7IeLgv8H/77 Aq4IPIjJFZVLuGsqHgkckl8qyk9dSXOjy6ddlxof0sBBgRsztaJy4VhMt8/Z +68VtRnOAWludfkzrONc/a+KzsfvcXo4CnBabkuVHs7GbxWVy3n87/YvtP4u p/mjorN7zm9nVZSOcmdWdK4P5+HuVOk5038w1dk85/KkmeH85H3AaeaFPLei vfU/KzqThhtAf8DZNOeosytqA+fTj6c6q+aceq51LzvNY37WP+5LODOkf9vP /dVTqc44R/q5vVzO/IrycO7YKpPPOSP9Eue+nI9Ttz9cJ9JzTslZ8L8VnQ1w jrhoJp9zsEUylcU5HGme83M5k0PHeehimfJwlkZ6zu049+RcDR3naP1Snbc1 OD0y55V/lLVmY732e1lrPOZRf5W1HmMtNres9RLrlDllrcdYi/1T1tqJdc3z qepGmQvKWguxDlq0ojUM64slKlqfMDdjXvau5aUqWnuwjlimov1K1hqtKloX PeH1EP/Dwppoh1T7UexLLVfRWoKxoFTRvJ85f6Wi+Tpz4LSieT9zfvYmh6Y+ 66loXs6cnPGKMY5xp7GidQhrEHg3cBSKe33w4RrAKYeLz/2c6ze3arVBuGUj 34bhbxSuIeSH8ujzm3W388bhbxKuKfTtw980XBJy2/BXDDcPLlv464VbOvSb hb95uDJjQjX6xar2I++PMh/Odcd264hfPtxs7gEJ3d/xXlcL+YmQn8y1d3Zv +Gtnmj8sVwvccs0n1grdPbnWhytEGW3C/R3p6+E3h/sz5HmRZuma9vx6Rtoe uc6jOkSd1i/rHuyVIu3K4eZjsxL+OuGWZJypx1iaqT88MOT9M/W9nULep679 Ke6FYC3BeuHg0B1e1317rD+IY23BvJ87C1gH3BwYdAv3adTnxEi7esh3Rvp2 8cw1wi0WeVYJf9Vw/4b+sEhzVrPuoDsu5OPr2s86Nvxj6joPWS3iVw+3SOT9 Ptr6bU3f2UFR38517YWtEc+5oKY9MO4A36CsO65fCDyObtb92M+F/GKu+7x/ d53535Mly/rvBP43YaOKwsjXRr7rwh0burMi3yqZ5qgL70VI9f8mK4euS659 4dlRh7NzzWXPCf+CXPf6V/Fz/b/N+5FmUFV74bMj74Kq9gA+Dn9EVXvh10fa m3LdYd81/MObdU87/2Xzvev8QaQdUtW6ZYLrw10N3SP9Hbn2i88P/9Bm3YG/ RfgdwmXRlstDf0WuPe6nwp+f6VvpHfL6meaNO0fZswLbcbYXXNd4bk09Qz+0 LN161m8f+vGhH1VWWev52/s3yivXtA+9Hv1trr3pauiezTVPrVCvcDP8HpYq 6z8XLov4S3Od97Lve1JZe7cvxLNerOq8ol/4L1W1trw90t6W64y3Y+iWjDIn hVwLPw83K+TVow7X5NqL3zvqu1ddZ3TsAbOHzD4xXHC49dzPyZ4x+8zsB68U aU9t1j2ojSGf3Kw7dZcIOY3nHRvp9ot2rVDXHI77qbGtwq6KueThZc0nF4n4 VnWdhe4S9Wld1z71LvFuTi3rXtwsdJW6zm+r4dfqqh+2FdznSx3qoatWlYc5 4JllzQOXD/2umeaQ7HN3KWtvO4+0nWra78dm4HSXs2ikX6yudlYizc417Z1v Fbqt69qzZlzdtayxFds37hDnHuwdy7rrnHvOt6kojLxl5OtQ1znqtuG3iXKv cNqdysKGPXr26jkr2CTSnN4szMGMO765s3qHaMdSdZ0TbO049MuGrqmue5H3 cnrK3C3qvkxd83LON3Yra8+4TehWrgu7pcPfMdO8/XrjgK0Ke8ycX3AmwP25 2H5g93FlpD+vWfcTXhbyVXXd+8hdzNg7wbfG3uZovzv8Yyxf5zQ85+bIt17g 8FSEbwy5a11768c6/RFOe4LT7xTxu9V1X+x+Ud8D6trT7xJtPKiuufKqUd7p NZ0J7EcbI9zV9cYWiHZcQr+dab56sfXU9+LId3Jdc+KdKqoHdbiBvr+u82Hq dZzbshtze5e5Tjznqpr29S+MtGtF+GF/T/x2+L64i/j8su7XPTfSnFPXefUr xhb9rqE7s1l3t54X8vl1nUkQf67TnMJ7q+u+0iOML2P7tfH8S+uai9OmU1w3 1lUnlrW2OizafXFd5yLEn+Y0pzo97TqdujXrDs/z/FzSLBLlX5drH+Ha8Ntl 2k9Yi/VIqnFvw2j33ZH/2cizBmuuVPt1+KMtrxZpjog0t5S1TzbaedcN/dWh fzz0a8Xzv6tp37ge+lXq+j23rWiPjz20NUN/ZujvLWtP6+tU+1pzol43R/3a ljX34i4k9qf/Cf0joV+z7Gf6uUmU80+u/oi0XxVjiPMi/xF5L4w0Gb9z1i8e d1aIvJtGHS4K/Uohdwz5mpA3ox8OeWDIBzJm5voPoI1D/yjfbehXCXn/kG8K +eBIc26u/7tZnzlD6J8OfeuQ163ru2kb8nZ8n2XN4w7y+28X+pNCf1eE1w75 opAfCTkLuVTXu1+por1O5i2rVLSPyR4m4+ENucbETsxJco3j+4a8Za7/osIW lbv+ua9+/9Dvnev/oVpF+X1D3risPNzvw1xgccb00G9d1nzhikxzBuYQ3FHC /SQrVLS3y77uDZHm00hzQkV3s/AfVGC1d5RzTbPO6beK8jrk+o+s65uVh/SX hT+urjsDd6mrj6B/6Bzfzkk1rcP3r2kcYgxibnVqXfOrFevqB+kDOX/mXJtz 8lNdT8bcK5gr1XWH3vFRxgk1nSVeFfpFm3VfHHeaLHCdN460G9Z1R/hW1nPP DHOWB3LNWzZgzZXqP92WjjZ+mWss4b/e5qfCibN6zu45k/8m0oypat+zIfxf Iv2+ZdVxCdfzoij/1bru6lwQWD6da87Hc+b5WXMtUz79d/e6+vC9HId+SeYz ucYk+oDL6+oHDo12H1bTGe8FjPl13bN6ScjD6rrT78iIP6KmvaFlmf9EOXsz RjJ3CvmQkMvMQ+rqQ6eH7tdc/KlS6Les6Qx8G+bguc6/twndX7n2rWaHPy/X /yfw+5vs3+DWUYdtWAOwno74zs0ai/4MedtM+11bhm4r5j2MyeHvxBqGNVyk ObZZ//2xaMitcv3+3w7//Vz/J/Nm1G1gVfvvu0ba3ZivswcQ8Y2hP5gxO3S7 sK5g/yb03+Yay7cN3Xb0paH/LXQzcp3lbx+6HVjDsKcSup9z/cZGslaoat98 4X8/el5N//qt+6v+kfaVXLy5NemHc/3H4FX8Ppg/hf7VkF/LxVeYHP6Jzfr9 /hDylpn2EjcJbCfm2ltcLp65YU28g0nGlv/yGxvx3+Timr0eaQZUxX+5Nfzb qjrfhfMyMRW35ftIu0xVc5AO8ZwJubgOC88KUp0X8Lvcsa7fZkfqxXqGdTN9 SaY9WJ7/i+uwB2udXH35rZHv6Ez7QrdGObfVtU90FGNRXWfq8HfGpOLjLBV1 aVcT52Kt8Efm2qsdH+nrueq0F/PtXP38z6HfNuS/Ql/jPdQ1Rm4Z8uCQh4Q8 I9KcGGmW5f2yzqV/CHnXkOeHPDHkaZFmP76nkH8MeZ2Qp0WZq1V0psJ5yseh W6KqOSL8IPhC8In2CF1C3xL69iE/zZou5I2inIG5+CuLhX6Fmngo8IPgDsEz GhDxi0TcFpF+x/CnRN4xzAUj7Vu59gy2CP0boX879MNCNzwXf2Vo+B/m4lSO i2ctkWtM3SDS31wT3+HT0G2Wac9h0/A/ycWD4e6zSX5f4/yt8tvEoWd9+UGk n1jTHspnke+LXPPmz8M/vlnz5x2iXp0y7Z3uzW+3Lk5Jo+fZ3C/B+LdnRfft M+btU9E958zP4HDA32BeBRcEHghrZvglcEpY28A7gXNCf8Q8jzGUMXjviu6W p8/aoaJ5NePu7hXNu+izWJMsnCNVdBbO/hJn9adbHmeZM3zWM3B34M0w74cP xJyaNQx8HdZS8DPh67De4jtjTslci3NdzncXngGXxTuBX7J8yJtX9J9ovCc4 SfCRGO/3q+iucuYNB1R05zbcBPgKcBfgJnCHKRwqxoatKlqrwoPg3kz20/D/ Z5l+Gf4Q65IOZa1nWMvQF8B5gs/E2hJ+GDytNORNK/rPO9aocMLgfrF+3aSi cYq9GPhb8LQYY7araJ1CXwZ3Ct7U6mXt17Be5g5PcOjjM2Hu4uRcGJ8zbM6v uQuUc3r2vjhnQeashXN47gwd5vNq7u7s67NszqfRwYPgftL3fEbN3aCcR+Pf ZHmu9Zxjw4uAbwE3At4EfAvKIMydpz38PSDD34ArwXcyzmm4I7XgYiCz3/ij 68CeIf65lok/22k4h+dsnnN66sm9pcU5PzLzKDgF3IUKRwDeAfyDAgPkgocA 54C0fFvgy3n7H87LfuOKxvkFY36N8Sf+aqfhvB78if/dz6B8zrc556Ze3KeK zFydOnZzPb/09wYHh32zW5ymyMPZPrwA0tPWOX538A7wb/R7hG8DB6j4rpHh AsH34RvmOXx3iedI3NvGf1jyfSaW0XP3E/dnDbG/qmXm4twZx31x3NHEPhn7 Zqs5Db9B7jjiP+T4XVBe6vKL5zGXvNvlMMeGa7lcWRxJznIZQzhf5n48/iuU Z17gMHJXl0OZ/JbgWMKXPMxpmHtyB9BmrsNE14k9KvoFxn84kp+5Ddwxxbkr ayDOYbmzi31Z4kc6jPyyZe7yor9Zze2FX7ZWWfvYYLC6sZru8sGH81jWBJzJ 0l9z1xL9N/0N4xJ13MK4IbMvvklZfExwqhgr4ju4XQvtBsriaXIGy9qCM1me R/nT7W/lZ/H76+LfI2fgrNs4B+eeN/YRaR9j+WEV3W0OLxpeI5w51myHVHRX PLxo+Hnw8FizHVTR3fusH+GjsJ5l7D+ioru+4T/DsYNfB7cZXh38Ofje8Ajh Bbb198q3St/LfcoFvwz5UY8j3LnMmQX+aZa/sR4e2lKuA2toeGrw1YryTnE5 7AvDwWIdDW8KmXMJ5ijHVHRH9D3Ghe8UrLlbim+qn/Vg9bR/G9wvR9/Nfir8 XPr71v4+4Qiw5oYnAM93xXKLLQl7q3CBScfdeXzXT1mmbOwasfNk/QLfGx4h HELmLkdVdB84nOJqWTxi/leC98G74L9Wl3c5i3ofnnUuZTdb39oyz2fPbx/v +8Gn4zuhzwYX7qfm3Ie1wUouh7lpO79rMF/dMmsA5nPM5eD+rGqZ85KS+0O4 jWs4PWsD1t6su7GNglMOB42+usnpGa85G3nM/Rh7tIzF+H9Y5l1z1vGoxxfO QJh74M+1zFlOo8dE0v7l9JQ9x+Xz/qeV9Q2wF8I+DusLbKDglMMF57wndZ/P XJ/zpxc9HuXuh/HrllnnrOB+njlM2WMH/fny1jNGtHGfzxx/vYrmjaStOD37 8lWPQdhYwY9nnotdFdx65svs/bMXwxwT3tbKxhae14p+d4xTmcvhmW393Flu G+3ivnTm2m0S+b9ZZnxhD57f6ToxD22uaj+MdRR3UXEP1fqh3yMTFwIda1PW nqyDN6hrLcxckjUi88ndI+16dfHLl69qXc2aurPzk5d9HeamzEvXZC+xrn3Y Favag2D/YW3Ph5kzs9/Q3nsOzKdYezGngid+RFk8cerayXVfI9K2q2vuyT7x 3q5b64o4ecx5qO9B1nN2xTko556c83HeyVknXMqlLXOWxhlqT8+R5lvmjJAz V/ph+JWcN3LuCa4zjS2/wXlOQ/xyTsNcrsHfMOdznLly3grndBH/TvEXtUz/ tpj7OuZ47AfQFs7VOJdlTkX84k7D/I049NjoYS/Bvguc0yX9LMpo7XL4rUz1 72WKZb4T7EqxL2WP6CXL2JnS78Ophn/N2ICdMzbO4y1PcNrPnBeHvS7l8f8R Y5yGseXrssrg3J4zJc7upzk9e1DYtGDbAhebc3LOeTjXxj4VO9Xl7P9kGX73 t2XxuOEIjy6L983/fXzqZ1H2WJdPfb9yfb62TJpZqfaz2F9irnmZ39d0y0P9 3uHXwsHlPv9L/X6nO4xcxMG9pQ8+3++Ud43MHBl7SexP2Kvj24PjC5eXvBf5 O8S/2PIhHlO4N4B9Nc4y2eOCtz65LBuhKc5b/O/AhX7vfAPIcDNxxBX84guc 5kePF+wtgxH48k4Yr34wVrzvj40VcwK493Dz4WtwZghnA17/sLL42sw5uBOB +xB6OS828p+U9W7QYR/wTlk2AXBJWMfDJ+EuC/5jg2/wLoe53wG73in+Vpnf YLuBbQH/iTPEZTLfGVzW8/EHWe7rcijzSdetl/1BlhmDuWOC+yWYJ2HLgA0E diH9y7JpKH4z2BrDueAcFU7IQpyM1XjLpF3gMDJztE/8LOYE2Bdgl1DkGW+c Rhhn/iNpoOvPfO2Nsup4g+t5o78L/i+K+QacHfZX4Pnw/Il+LmkHOD04cu8G uL5hPWWeb/159t9yGvYUR+Wai8IVZR8Ivig2VYuUZXf1c/TlH2Xif7C/+G9N e4zweuD38BufmOksnHPwNMprysTLnRxph2fifMD3gcPzgXlB85y3lmtPn/3D XyL9x5k4JVNCHpGJa8IeAXfEcD/MD6EfkonvMr6mfTf23OAXTDDH4MfwP8zE fXnS9YSDNCn0wzLxWn4KeWgmTgx38vA/ajyHM//c5/5wi+AYUXd4RXCe4Bo9 47bAX2KujN0NtjWL5dqnY4+OPdrFvU/bGM9JctnjLRd+Q659NMqYb0zoM8GE +vK7gy8FxvCqkPkN8vy/XYe2UcaKufbUVqa+mfabe7qe8LLud37ywjso5+Ie FOXCN2sTuhVyzVngT8Gjgt+1IPBZNhOX+1f2JDNxevZiXz/X+Qf8R/iKzCum RHzHXH3YHuG3zsRV/jr8u6qaY+6T65yJdeHv8DJyrUXZC+P8EDsq9si4f4q7 pw5n7z0Tt2NS+Jvm6ss5s+S/A0l7SuhOztXvYmt1X1n2UqeG7rRca9Ef2EvO NY+bGHXZMxeXuk3oj8xlZ/hNyP/UNMdc13Vgn+pg9p5zjb0P+rno50TaLzOd UY3NtO/MnvMyIc+vySaTdHxblPd36L7KtK86m+dkOuuaEfJvNd1nMC/8MZnO If8K+fNM54hwGzk/hOvI/hrnz9iHsQe/eq59+NXCL2fisR8ChyTXWdGy7HXn msunEb9qbnvOKH90pvOtmSH/XpOdyazwP8tkM/FHyKMyzbf4LuHR0R9+n4kT Ax+miXOETHv/8LvhgcMhZz0Lt7vQIbO2hUsOdxxODtycbubnwL9BD78cRzr4 6tOq4uvA1VnbetIvWxM3BV7Kun4G5cOFucN8GPbp7/JePf0bfHS46HDt4erD 4YdrDx8eDnzbmvaL2Stm//ge7yET39tp/qqKjwIXhbPlW32+3Kom7he8L+we sIlg7+jd0L9TEx9xRsxnp9c1X2HfhzT8vj6gv6rJVhi7BOwKsCkg/h6nGU7f VRMHse76Y19Q8PKpw5vsn9dkA0c7sQdg3waOP/UHPzhrt5u3hm0BNgbYI6zr 9NgOsOeDjUGhe87lvBpl96+pX1zbuGGnwN72w/49YqtAudhQZDWdB3AWUAv/ +kx1ftbfEnc1rFnTGQznL+j+9TfG+ItMWr7ra/1tw82Et/lTqYUPCieT/uZG 9znoFrG+4H0yz8RfzHJf6+GCdotv+JZcewHMSxcz5/NkjzuMoeC+iPmin8Q3 UM1k/9y3rHU+Y8fXnMVksm0eXNXvjd8a755+nvryvWHvga1HW8vUGVsQ3gX4 /VBV30S/1Db8mzJ9e4yrV3ts5ZwVO5PiW+7h7+GNqsYbxhr67yvdh/etqm+i X4KHDkcd3jv/34RdEHsC8JHgphPf2u+Rb4O+EvsT6k79sOko7FZ6uf7trMfO Bf9pp2Feiu0PnIfjc3EI2DM8KlfbaBfzQzjHjFcD43t4JZNNPFxkOMlwpLtb hsM8JNK8mslenzzwnOFC/xG/rT/rWjMwX4IbDU8a/jW8ajjV8MHhh8MznxBp f6hrXfE1Zz6Z+LhfMo/IxNP9it9vJm7uUnBImzUvL3jYzGkHRJrXa+IvU8eZ rudLoeuX6Q6Db0J+PxN/dxByTdze88mX6T6MKZyRhtuvLC489YT/Mz3ij8h1 RgEvHu47Y8GqkXeVmmw+Ng9/s5psLLAfwBaA86lzLGNfAK8cHMByg0h7f6a7 OtYLed2abD6OhFMW7tZyC5edOeedluG04/9m/c3GF2y/4iwuF39rcPhDcu2H rh5l35vpfpQxIb+Xid/8Bf1VJp706JCXzMSRfjrkvpnuihgYdXmzrrVEr9A/ WRNv/S7wy3Qnxz3wa9ivKMs+AD4/XH04+3D34fbfEem718SpvzL8ZzLdvUH9 4fljIzAu9IMz8aqfifJ617U2eIhn1sSd5xwX3v/Nfv+z/A2AFfx/bAoojzSc /6KD9w/n/5Eo44VMd2l0YW+jrvnK5aG/rCY7Bt75T37vI5gP18QxHxX+m5l4 5Esw76iJczIwE7eS/dqRoRuQyRb5E85761qzwbX8vCa+5ad8q5nuxniR+tTE 2e/u94hdxjWR79pwPcrCcrLxhLNF3fgNFfYVtJHva4y/txuMPzYa2BzwW+B3 jB0DOIDTjfHMG2qyt7gp/Gcz3WVSCrmpJrsrbFywVcE2hDN4yudbxv6AOSrz 8d2Y02Xij2BLBN8EeyJszfkNcQ/BTpFmx1z7hd9F2lKuPTm4Klvk6kd35ow3 F5eFfn2zXH07z2BOjD3F5rnGMPpYbF+we4F3vUTUd/Ga7NLg9qHHLmbrXDwk +DVwgrbJxQvCnga7GuxtsI3BRga7m/MsY1cyORM3HV76wvsMyrqDYRtz4+FU ch8A74c7AKZG+vFV3ZnB+LN7rjHot5CnVHUHxjGhOyHX+c2G4W+Qa8+S+ewj ntPye4HXxrveCJ5Drjs7uH8V7iQ8nPasOaLc31Pt67Ffxz4f/I61zfFYKxc3 C17W2MBmUCZ7AziG7P/BF+XOhovLuncBGyC4adgrwePhedz1uoVlnvtrtOPo XHMZ8OUdYNMEZt8bt3v9vli/nMt8qibbI9YoX3idwl4nMn3kcRHfM9MdQh34 jWe6P+mYkI+uyT5ps/gdbF5XXRkXseOinqe7XOy/miNtvSabP9qC/RXf71L0 OZnurHoUjkmuc6k09HdmsregvK9c5pkOYyO2PP1NpvuoXop8/XKdP53n3wX2 X6wLGAvo806J9CfXZL81P9IuyLWvugO/p5ps5sANOy5sB/Zk7VyTrVsCF7ou rvZOoXs4011QB7GPW5MdGzZP4HyJv9sfPAZdZRmbr1WjjNXq4i7znAl+1jl+ X/xeqPtY/673jrIfzXSP1O7sUdPveOwjP7Zmp9HnZ7qrCc4rZRJ/CP1Wpvui OI/HJoO7VdibYM7MHLxfpHm5pjsk4GFw7zZ3bvNbmeDfy3G5fhv8LkrwfKra Q53h9HAt4EBfXha/YjnsUZp1/kP8jU7T1TLPuczpkX+sas3JHAqOxhUupxpl dKrKNgieB3xt7syYXtW3znfOb3eqf7+jXC5ldsq1DmcN3t96+Ln/BH67VLVf 9W/IF3gOfH74C+q6FwP+yJ2u83HMu+u6H6RXXfw89op6hvxUXXtPd5TFX2Fu /2Xotqlqn+vxkI/PNO5TVndjxhqlVbPmy3c6P/Gs57u7nN2qWvOw3lm0Js4u fN1FIt8Szdr/XTz8tFn7wNhb/Gubi+4uk3JuzGV3wVlpA/y4Zu0vg/2Vxoq+ hvvisQ/A5maZmuxupsEfzrT3wvrs17rm6WeHbmpdd47sVNWaivVU+5q4aPDQ 9vC6njk/67nfvabjPnD4zvRhk3Jx5uDLwVnbqCbeGvu83N3Mvi97Tk+7nA7W 0+etVBMXCh5UQ032RdgWvZuL88f58Rnhz8zEEYBr1jvTWHxNTTwzOGYz6+KA su87J+TZdZ33/h3+3Lr2KNeuiXMG32wsurr2+r+ri1fKfv/oXFwoeFCTQj+5 rjOD7ar6jfH74u4cfrvFXWrYIXGPzhmsV+q6W4S14zd1rR/HwJXOtJfF+4EP C58czis4cqc6Y8DdxvOPeNafVd3J9Evk3aGqPX7GU7jM9Cff+V1TDny6NWri 1P0U6X+s69x7TlU2P+w3nJfL5oezfM6TsXPgTIqxbWaq875ZmZ7Nc7Ej2agu vvwMp+FMAZuStnXx/+HR8l+SjPvw0brVxEnjPyNnOD3cz+XqOkcj7Z9O/27o 3qtr7/vl8DtnWkf0YE1U13zq9br4rOzfPlnXb5Xf6f2R5r6a5vhtXAf+y5Jz RmzB4LC8A5+uLr7AHeHfzjdPf1uXjQRjPPzoqS4DG7vnc3EtuNNrdqo7t7at ifMK3xU7rXdycRz+zsV/5XwRe5RdarJJgTf3U675QsHxBY+ONdl+HOe6TvFz 4YHOyXUOiJ3BIXW9U+4k+zXVHWPcuwBXkX0SzmZ/9/viPJg5C3eSYZuyc119 QENd9ifYabDWhjvJ2jb1e4EbCDftKc+F7o563VPT3Ui851l+d6fVZdtwj78z /guB7+4fy/Ptd7N8SU02G4xd4H2XMX8k/I2q2j/ABu7CmuzguI+KtRd3R91Z F4+ZvgLe8VY1cY/hC2Jvxx1Uz7PuqYu7wRiNvQJzoT5wEus65+C76FHXt8EY dZP7ZPiJXd1PblJVm2nvg5H2obr2tR8I//66+H19w9+0qrOFUfQTdXFSsCm5 uia7EuxazqjJtuW6muw9WDdsFfmeqemeodH8Fus6ZzopvvF+dd0/NQiud1Vn O/D24Htyt9lHdXHoOd8ZyjhW1xnSoXXZN4L1WTXZ2DAH3xz7hZrusuof8QPq OvOAb9jX/e0HoTs101yxrfkk/PZPCd2Quu7Aei7K+LCuNce3dfWP9I18I738 nWAnV6nJVo67ELgHAd4y4wQydyNw9wF3F2BHxr0N2Dxjk3Wk9dyT0D/q/EpV d6tgd8ZdBsS/E7q3q7orhf127gLgHoCp8cxpNdnc8gyezX0O3LXA3Qqsg3gu Ye7xYG19udfX+1pPGmzEqA+617APynRvayeXSVvgYt+XSeaeBu5ogK9e3E2A zdqS7E/k4jRzhwJ3KXAnA/c3cI8Bdlu38+1kulfrlqrsTjm3P9ZpuOeBfNyz gB3QsIgfWtWdLsSPcDnvYXOR6R5f5jj9Pc/Bhoi8x7ten7lud1Z1DsEZxB3M XzLd89W9KhseztnfrmmetPB+R9bHnhtgj0E5nd0u9s2w16PvAwfah/0Ha3LW 44TBiPsx4HtwXw98H+68YR+M89nna/q2+K6G1/VN8z0v1qw5EPMf8vB/7dzx Q777vIdGv8f+MPtzzHG5M4f9QH5bvf37+ot9wlx8Izg/7O9xNxAcLPb72Otb 3PLnlnkWvJTX6vrN8HtBd4f1/J4e82+qZ01jEuMRd+pwhw57s3WHuauHMwn0 6LgnhT1q7o3B5/4U9quZ8yFv5m94qL+rS9h7y2SLj80UbQc/1vh823zXQ/mt Z7pbk/uAuBeIO4WKO4bg8HPWxT1B3B9EGvbWGS8Oife+ZrM4Fq2t5+6jZs6t ctkJlN0W2kV5D7lMbASQM2P/gPEvO8x9Rx9F+ddluit6/yjvgFznqSeF3zkX t5J7YrgXBv7h1jXZTGIvCS8R/cI7ZGqyNcXOlDtmuDeGswziyM99NR2t5/4Z 7CMfyvQbYe7IfTFF/FvOu3FNtisL7wBOdT8MZxydLHMXDf571nMvDPfDcBcN 9qmPZPpN7Ww9/EbsVx7I9O74fYz2b+TMmuy9sfWeG/7dubiYt9VkF8FeWp9c Nt7wVms12RhjX8za4jmvL7B375VpLXlLTesW1izMl3t7Ln1RTXaD2AxiN/l0 pj007A/a1GSDwHzzJc85n61pbsq8lHlWH8+12O9nP589/0Xpr3LxO+FzclcO eNxb07jFmMW+FnaE7O9xFyN7kNw3ydjyoseXx2saVxhTHsx11wB81hNrshHF PhQ7/icyrZHnxXPnVnVP0i/0k5nu7Z4c8qSq7nzi3iPuMiruQXrN8rbWcyfS uvGc9XLNmb6IfDdkuoN8dMijqrrX6qKIvzgXZ3E+9jKZ7vCeGfKMqu5zYn5G 30s/faT7dvpnxq6PPK7NirS3ZLo7nLUE3w/fFHi97/FuX8vcWVTczTTUXF/q T91Z53A3UxE/wGn4JpD5HcBleyzTfs6+NfHV4KodXpM9xgv+vZB/mDF5w781 7DZ6ZNqrpN/hnqhnzQvlDilw5a4pZDiiGzuMvLXTcycVfn/n5Xfwjn8LRX7u ufo2MBlX1V1f34ffNdN97a/UtM5kjbldYL99rrk1HGXs8+F6/x9hfqz/ "]], Polygon[CompressedData[" 1:eJwtmnmglVMXxq80oXs75z33vHsflSZpnud5kiYpJUlSSRIqmSpJQgplTiQy U4akTJkVEQmZp1TmRBkzpO/3fI8/1r3r2Wvv/Q5nv3uvtZ5V86TJgyeVKSoq +p0/Zfl/Qigq+qm0qKhZpqjoCmRHLCrqmS8qmoz+GnIM9mORMklRUVPwt9i+ Q+pni4qagHcydjj2ctjLI19j+wqpi70e8in6J0hN9FrIAvpejdSgbzvGt0uL itojw7EdAa6FXhPpDz4SKcfY1+nfnf49kAPAn4P7ox+JtKFva2QYfY9DPse+ BamN3pD5PqLvJ0gf+h4ObkTfhsjR2Acjr2B7FemCvTv2JtiaIkOw9QQfil4H GQDuBu5O357IHnAj8J88/3Xg2ow/FPkB/UdkMHpv7MXcy27wUPCxyAXMNQOZ zfiLkQvRZyGXoI+gf336n8dvcAt9lyA/g39BmmJvjv0v9D+RluBWyG6ufwbz V6ZvBvkH216ktez034X+E9JYvxcynr4TkEr0bYH9O8YfAf4b2z9Iee6lAtIR vS3237DPwl6g/8HI+egXICl6a+xl6bu/fkP6d0CmcO9nIzdhPwH7XsbfQ//G 4Ca6R/pmke7qj/0l7Ldwf9vRn6ZtLXiJ1hD4GfA68K3gb8DPgt8EjwFPB7+D PA++CfwZ+pPYXwQvBm8FrwG/AL5ZawL8FPhl8G1awxoLXg9eCt4BfhG8AXyn fjPwOvBr4Dv0DsFrwZvAJ4PPB4/NsTbBd+k3Ar+M/Q3w3eDfwK+AXwXfDt6p ZwVv1PsA/wFeD76dd3Mn0oB305G2t7Hfh/1v9DewvwO+X78peCP4YN5dFaQ3 emfaInpAeun7QVYx12NIK+brgn0/xj4JbqvvDSmhbzHSVesZeYr5b6DPe/Rd DV4DHgCepnvROwffCP4I/XHsz4AXgj8APwbeDF4G3gd+E/wueDl4P70r5APw Q+AKehbkPfAD4P3R35KA79Wa1n4Dfg68SHsG+Anw++AHweXQ30ZWo69CDkA/ EKmDPpb1di3Pdh1yDs92LjJT+wFz9OXZdzBHY/S5SG3wdnBd9NlIBrwFfCj6 hXpmxj4NPiTjd7AX/Am4JvoMpA39vwE3QL8UmQz+BdwSfQGylHtpqXvSu0O6 gauDj0F/GDkYHMBHod+PTAc3BI/U8yKPgtuCT0F/AZkPbgoerfWMDAHXBg9D X4k0BlcBH43+AHIKuC74eP2eSAVwDtwf/R7th9zrXzzTZv1Wet/YnkUqo2eQ x9GfQA5Cr67vm/5vpV4biysVFf3LfL2xn6X1qTUP7gieoO8D+RDcFXyG1j9S kfdzIPIx42uDN2g/R4J+O/Cr6OuRPDhFqtC3GvIl+mF6B9heRLI6P8CfcT/F 2D/TXo/8yL3tQjag19CeQN+3kSrgqnpGrW2kms4j7FsZX0O/Ifhb7YnozbRn o9fHfhZzTdEeDb4AuR/bPsZ0wnYjcjH4D3Ab9GuQ/jzvAORS7e/g0xh7OjKV sUPB/dD7ImPBJ+tM01mCjJOOPa93wfgJjD8NqQkeBJ6LPg9pDL4cfA/6vcil 6Jchd6KPYvw85rpcwnwngk/ENhq5Cvtw8GXY5iBzsc9DEmylyCnYB2BvzvxL wCvAj+gbou/1yNX0HaNnlI4sAF+FLKLvzciD9D0J+0KdHbyP9ujXI1nmK4t9 FPbROrMZ2xMZxdi+2L/St8KY3eCftZ+jV2BMD2xL9PuADwL30reE/KqzDdwH /U6dEeD9wV3Rb9bzMvdIZDJznYkUsDXQGaS9AKmj7wE5E30Q/Y+Vr6DfiL4D wfuYbz/sJ2DvJ39HZz8yAftp2iO1V+oaer9INebvTP+Z9L9Qeyp6B+R89CGM H03fMVpD8i/Ap6KP154EPg9Zin576m9F3/g0xl6s75ez5Fad+dhuRRZqveh+ sH2c+mz8V/5PgfeDfKvn036gvTn1WfcPbU/yfi9AzsO2irYZ6BuxP4peSc9P /09Tn6VluGZfcAnz7ZDvojUF/j712ZTDPhp8bd5nbR48Av3r1GfhQeATdDan PiuLwSPB36Y+CyuDL+T6FUt9Xo8Gn6SzMPVen4JP1Fmc+qzMgo8EX5332bOb +zlK10591vwMPlpnT+qzfo/OTO3tqX25RiX4UeBX6JMD/85+lfD7ZpEPK7lt LbZ1ee/92vNXoD+S996uPX82458BF2c95in0NXmfDToD3tXeiSzBVpE+s+j/ aN76GtoGo3+Y2tf4S2sO/H7qs+x38HHgbal9j3I870DtT6nP1l/1fXOvlyDz izkHaNuH7d/Uc+uepsuXCfZ9uzK+AtefT9sm7u1e+gxH/zK1L1MB+/HypVL7 HgeAr6J/PeTajH3E8fJVUp/dVbGfAv41/c/XAI+Tb5PaF4ng7vp9WbMfcP0P kbrM9XfevuiN3PO56NcH+8Jt6X8O+KJg37E1+GzwxGBftSV4GviNYN++M/ga 5msknyRjH3Q71/oKeRf7JNqu0P6NXJlxDDJfZzdyVcY+cm303Xn7utO4n4bg cql909Xgedj+Yb5tzDeS663Rt4Xch32ifDS9O+QB8IPyT+j7DrKB/qfrDMf2 ELJUvpv2L/RNqb+1s7H/pL3+P/9QZ9JQ+TKpfdkirvcI+krkDu0v9GmP/SXm X8v865Bn0Z9HXkA/Ffvd9L0LuVnnL9JLviH2rYmfYZ2+Nd2T9j/6P6m1htwD vldrjr57kM/pOwV7Z6038EbwmzpT9OzILVoLOtPRX9c9Zr1nrOb9nYNsyPgd nY3+VOq536rMOQdem/pd/Qi+TOs9eu7hPO/p8ndT3/sN2B9RvIKsy/iaD8qf Rp7L+MyZzfip0bHPQMbPAa+NfjfDwJfqewWvAQ8Fj1f8wPw3aH9l/ofBpyIv ZryHXkD/GH229qL/EmyHy+fM+Ey6F/045LGMfcae6N1T7/Wnsp9MBq9I/Vs/ yvxj9e2kPguPA98NPkZ7QMZn/gz5qtFnX0+uNwzb2al9iX+Z737wCciTGcd8 ere/0v+zxO/4t+jfVL+l2rQWD9eenXhNzmKv/po+7ym+Yv5vor8RfRtqq17w maCz4G/Fj9h2Izu5108Sf7s9dGYk/oZ/Au+Ktm2q7LPoimhfQ2fScu5vNPJ0 xj7GCPSZqWPXqvS/hP63RvsOQ/S8XP80vudicKucY9OfGZNNHKOOQp+b2hfp wPgbwe0U42UcYy9G76aYKuOcwPnM/3Nw7Nyd+RZg20Nb86z3yI3ob+bti8un vxz7l+A62AdhnyP/FVwAl4LraG8KPhvUtg9bUWrfRT7dFGxnIpOKfY3fsP+e t68nH38H+g95+/rKmTzO/NN0xmb8DSo2XIC8lfEe8IHOg7xjD8UMl8vXLvx3 1vI8VzL2R9oaZn3NE7n2yOB7V9tM7PmCzz6dOTfJF1VMmXGOop1iu+Bnqw7e qvMl71yOYp5Z8i2ifcn+XG+mrhXtG/UG92au/ql908tYnxdhPzk6lhqAvSv2 tqlzK/2w3wkepG8iYx9nCPqE1L7NF9gHgkel9sVeAvcHD03tS90tzL32Q1oU +zeaq/M/+iwZwfXm0v/jvJ9FfR4Fn4msz3jPvBBbl2jfqy/9b8d2pGLEjH26 29D7KCbN2Mdui147dS6phOvfAG6lHEHGMXRL9ELq2HkX1xvK3Mcg79N3Om33 6Pqp9V9pm4g+KXVspRisKX2bIItlo88t9O+CfYT8RdruAp8CPjvrOXvQtzvy ZInb7tB+kHqs2sbqt0gd2ylmPAD9wNSxh3zsHHppat9XMckBzFUx+lpjmGM5 73aZclo8S0/t/+i/Id1KfE/DGXt86lhUMeP1XD9N3fdrxiyi743IcvTOOm/0 blLHqoohl9J/sHzarJ95CGvzcPr/CW7G79ErOEf2/9xY1r7+14z5JWufX7HZ l+Afso7R6mKvpxhd3yLrO2LrqhgLPIc5PudaW5Dn9Ftg7xac41NuT32UW/yW Mb9nnWOsqngYuaDE9ziQsYNSx8aKuW/V+kj9rtRnK/oX8mcr+RodmL+j3hl6 Nb0D9E5qK3ZbF/Sg/ECxr9kAXD+4r57hWmyVUr87/QYd0Tuljr0Vw8zW3pk6 llfMP0OxA5KwF85hzDLGX5pab0bblejzU+cSlAO4ir4L4n82nVHo46PX5izw fYw/P7WuOR+Qb5S671HgZejLU8fmitkfwn4T+FrsZ2C/g7luj+6rtpX6thST oN9P20KtxdS5CeU4VmC/E7wI+xXY1zP2lWhdY1ajr4qeW32q0feQ1LGeYrgn 5FuAV2Aro5gF/Lh8HvArjKmLXi91LKgY8WZ9v+ChWa/p5ugtUseGihm381ts Q2qVuM+z6M8Er+2+8lnQNyFltVeBFymXk1rXmIXyL1P3VZ+p6NNS52aUU/mY Z/ko+l3oHldpL0idK1fOo4jvYR/2Lyv7mZ7V2k2dK1FOfT36q8i5GedQHuN6 L4CXZT1mJ2N/iH52tW2R7xZ9Nr/NnteQe88xpqjY31Cp/GXadqJfzHyXlrpN unIs6vta3rkVjbms1N+Yvi3lRKZg6x2c+23K93uWckfBufzm4DPl2wfH6o1z Xvub886t6BtYrlwA8jj9x8mHw14mdeyiPaSc4nn5e3xfH2ada/q01LpyTvPQ qyLzMs7ZV0Ivz5iP9H3SVik4h6Tc0Se0DVD8G6w3yDkX9DljtmSdE6oQnDNS rkhzVMH2Wd7cQyfu52JwBpmVcU6pOvo3eXMVx2M/D/3e4Fx1e+afCn4qOHfa EXwd/ZshizLOYTdFr5w6l/oO4y8q9TPo3pVD07M/lneuUu9gkuLt4NxVfeab KH8+dS6uLrgy/Z/POxe3jf5noF+HbGa+w7BPRq8ZnLtqKP8a/Gfq3Oqh4Ang P1LnVmuAT5X/kjoXewj4NPCe1LnUWuDGwTky5ca0hvYT14N8kPWeWD04J6dc 3FdZcz0/co8VEnM+A8BHKUeW9R45CH0gMrzYbeKCftB6TcwJHR38m+i3UJti uXFaI4ljulOCOQ9xHWo7PZizEFchn/Lk4N9Mv9WB8lFZD81p+4m5m/A8LYJz esrlqW1IMGclrmq/xFzH94zfmzXnMRZ8EjKV+Q5IzJXsKvXc4kxGYxsTbNMz BXEfwWfVVuzHBXNk4sb2T7yWBwdfS2u6FD0f3HcrYw4OzoEq97k967VYCNa1 JpWb3Ebbd1nnKAfyfIcEv/tGOedKv8C+LeucaQxeM1oraiur/FjwtfQb/pA6 p6tc7qvg/sy3WzEeej3m+zl1DlW5U7UNxT4s+Fla5Jwr/pj538s6Z7w9dc5B uYYXss7Fv1JqXTl55Xp2pL6Wcj6L5avIv846RvtUsU70XraSPW1bdAyu2Htz Yi5pj87XxJzSFcE5BuUW1CYu6ndwlcSc1HDud6bOZPQ23O+1wRyjuMWatM0P 5rTEZVVXzi6YwxJ3pTHKhVwZbFNO5HL0ecgqrleNts+COURxh30Tc42VeOZB iTnHb7F9g/TVeULbVzprgvWGtD0RzMmIi2lN22Xoc4PnXsg1zkY/R3t64jV4 Hvq5wTa1iev7VXt6Ys7v0WAOSNxPy8TcTxF9WiTmgEbyPu6iT0Nwh5y5yb8Y XycxR7kEfAvyNvPXVc43eA/T3qU5HgQ/hDRP3GcF+sP6vordJi7vX/o3Tczp KfcyTWs8cQ5manAORrkX3fNY7ufT4HfXjfuZHsxRipvUGO2lK4OfRXvq3cGc mLgwPcMIxl8T/Fu2y5n7PZDxAxJzwN8F5wCV+9NvsiOYUxaXfDT4+rz3WO2t 2kPFJZcH90zMKY9h/tdo64rehT4bgjlhccFqe0/7Y/Bv2Uv51+BvSN+OOI1/ Uu/p2sv1jfQteM/WXl0nZ+6rT8G6ODBxWUeAa+fMafUqeE/WXlwTeT84ZlGs ckRiruzwgm3izMSt9QBXz5lj613wGaC9X3P2LPgM0N6vPjcz3+Lg31prWtx3 xbznFgeuWGgd9s6JYyJx1SXYhyXmrMcx30+0DUHvwXy7gjlucdtq24P+p/b7 xN/A31pv2rNL3KZY9fvg30Ixq2L9DzQ+ccz/YTDnLq5dbc/r/NZvmnjNvRzM wYt71z2KyyzD/bVPzGm+A94c/NsUc81R3O/jwd9ap5xrCcrSv1PimoK1wTGf Yj21vQR+MXisrrk0mKMWN10/cS7ytmBdOclbg3OKyiXWS8ztlCpmTszxjOf6 ZdjTRoIP128WzTGIW1CbuJGE/mMScyQHgSshYxO/s2w0RyRuaBxth4g/RCai z8FeE70GcleJ28Qdpcx3emIO6XBwL2S2ckclzqXs5fojEudUSrAVR8+la1aO znkp16VnSKM5InFD4xPnyjLR96Kc2QSeLx9tO0L5XPA54oTAg3LmTiL3Mykx h6LYvA326Ylj9EOjORhxL5N1vutbom0Kep+cuZuDGX9uYg6nFbhl9LNM1f6L bQX4qcQ5QMX6taPnUsxfP5rzEdejOZujt4geq3dWKzrnoVyH7rFtNGcjrkb3 2Do6Z6FcxTRwb/ARyJYSv9NO0ZyPuJ4ZibmgQ7inWYk5IXFRVfMeK05qIs/X MbpvP56varAPK99VHOe50TUTqpXQO1QucjJ4UeKcpLjtw5RTT8xxT2HsGNqu Rj9K+X304che7u/KxLmZvuBLEudo+kVzkuIi1XZSNEcoblBziOs8lPnnJ+Y8 R0TndJTLUdvIaE5dXPqCxLUD/5R67auGQNxYRjFDYo6sT3QOSLmfi2n7JziH pNyR+gzDflz0veqdKnd6QvTcyqH+G8wZiivUmlUtTIO8uTHVxIhLq5H33OLU JvM+jtJ6Bh/J+7gIfRbSHt9iKW2noZ+OLEz8js6MrrlRrY3e8aToHK1yszcm rs2pl7euGp150ZyruNa7dE2uNzdaH5wzN9uE/vcl5miV272YtjsS53jF5dbC fnliTneiYmHlKCr7ngZGc8jijvUMs6NzrMqt3q41pfuNfhaNuSSa8xXXq2uI 222Ud19xvN0L9vnl61dTPBEcMyhWUIzUNNinlC8pzvsN5ns92hdbn5jb6ET/ VxNzHMrVv4n9tcQ5+43ROX3l8tVnUzSnIS5DfV4Db4ie6/rK5jY6MN/LiTmO d6M5FXEpr+s3jeaUxSU/BL4G/VpkWeLf8Hr06/QbVXbbDO79Be0H+lZ4hhui c8rKJS9PnKteSNsDiXPWU+m/OHruY+h/YzTHLW5bfcRtN8t7rDjux7E/gTyr 37qyuZd22J9LzMG0j96ztFeJ861ZMEcrbnavzovoHKVyk9rDRkWvUa1NcfJd o3OyysVqzyhE52SVi9Uenos+Q3R2iKMvH81hiLvQmXFY9B6svVec9ppoDkTc h+7xxWgOSdyR3tFT6E9G/xZ6pmeiOR9xPc8nro06pGCuQDVSqp2qUfCzqIZK XMrT0X3FqRwZvadpL1PNg2oHWjBmZeIaAnE599P2WGJOJxTMcYrb/CVxLVGk 7bfENUWq3aoK/jNxDVe1gjlUcadqq1Iw5yuu94/EtUdpwXOpBkncdT/adibm sDPg/uCfEreptilH267ENU7ixrrR9k5ijuyLaI5H3I7aCgVztuJqdY9/RXNo 4s62gBPslZDv0H9ESgvmrMVV6xqz9SzRfU/M+axqg/3pxGeWapsOLvhZVOMk Lu8I2rYn5vQUK7UCr04cM90XzTmJa1LbsugaAdUG6B0/HJ2DUe7lCfB05n4o Wj+W69+Lfk/0Wl6lMxD97mhd39RM+m+O/haPz5kb7ML1NyXmCMthL6uci+J/ cBn0/QvWxSkVF1yToFoEvRNxIRXA3yTmRMQl9mG+rxNziuUL5gzFFaqtYsEc qrhTjVGuf2t0LKic/y/BnNr/uTTavgjmhMQFKQZQbV0T5jgw5xo71QoepnvM uWawTsE1D6p12C/n2sJDC9ZVY1i7YI5W3Ow+fZ8Fc+LiwqsgTQuueVCtg67R vOCaB9U6VMq5dq0DbSHnGjbV9rUDl+Zc49e+4BoK1U6oTbWOtQq+lmoeVevX CVzIueavY8Gcu7h2zXlV3jUTqpUQp9S5YI5e3LzGtC24ZkO1GglSV/E7uGzO 70C1jY1oq5hzjWOf4ByfcnvKgcwI5uzE1ammc1IwZy+uXpzdqcE5AeUCVDM6 IpjDF3evHNDQYA5AuX/VCNcKzhkqV6gcRo/gHI1yM6qZbR2cc1SuUZxA44Jr FFSboHtsWHANg2oXyiP1FP/lnfvXM12Zdw2FaidU86DayC4F/1aqkVQtYreC zz7VJKrWs0HBc6nmsyg6plEso5of1Xq2AJfkXPOpWs5W4EzONZ1nRftc8rVU 0/pl9Dejb0U1CQcW/M3rW1dNzvfRNQaqLRDH+kc0ZyuuVhz84GiOTdyafIKP g2NQxZ6qUd4YXOOh2g7FqDuDY2jFzqopvi84J6lcpGLw1cExv2J91XzujeYY xS1qT7khOKepXKZyAOuDYyTFRqp5XhNcg6HaC8VUdwTH3Iq1VZPasuCaHtXy 6B2ptmFOwbWv/+c3ozk8cXfaM2YH14Co9kM5mquCczTKzajmW7W0zQr+dlRT q1rZNgWvXdXMti64Jki1QPoNnove07SXqSZiZXRNgGoBtKe+He0TyBdQjcZt 0TUCqg3QmTQuuqZAtQTyoddF1yioNkE+iWqJLym4Nkn5qiujOW1x2fLp5kTH OIptVHP3QLRPIV9COe+bon1C+YKqifslukZCtRHi7P8Hx/eK3g== "]]}]}, { EdgeForm[], RGBColor[1., 1., 0.878399], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNnXX8FUUbxTGxC4vfvVt396rY3WLHa3d3d3d3t2IrgtiEoiIYYIsiBhgY 2KKoKCIWor7Pl3Pu5/LHfGZ2dvLM7uyZZ87cW+x/zPZHz9ipU6cT5+7Uaabw f2p06nR40anTHUmnTg917dTpinBXhls57dTp0vDvC/dAuMvCXR7u6axTp+5x 7/0IP+g48jzsfFeFezTc9eFuCNfXcVeHu7+ryqSsuaO+a8PvH25AV4WvC/eI ffKvmar+l8INdHk3hns8XI9wN4V7wv7N4Z4Kd3u4O2in/TvDDQl3m+8Nctpb wvVzu64J94zT3hXuh6j3+3C9Izw0XM9wd4d7zPVT97NOy735oy/3hP98uGFO 2yvcC10V3yfcy8YSDL4J90q4V8PNkwiDN3z9gHEdbp8xec0+GL9uv6/LuN95 RjiOPo02RmDzpvEF15HT4f22xwlc37FP/0bZJ//qqXAbHO5dlwd+n7uv9G+s MaLfY4w14/ChfcbhI/tg/LF98PvAZZPnE8dRFs8X8TxjCySq67NwEyL+x3DP RXi9VM/Fl+G+8jMCxl/bB5slOzp1mjPcXOHGGV9w/c6YguV4++A3wXi9Fe4n ++D0o7Hj3oKJxup7nhOPG/d+dlqw3Mjvx+RwvxhTxuR39xmcJjot935zX7k3 yWnBu3OH2kobF01U52wR95cxBcsp9sHvX+PE+GySCptOkX7hRPH/hPvbaRm3 P9wWxmqGjjaWsxivb8PN1CFMeWb/dFrqnrFDabk3a4fS0taZO5R2nPHjueM5 m72jjVnWoXbN4PH50djP2yFcwGy+DvngMU+H8OUeYznB4zN3h3zubZ4K7wXo b4f6RnsX7BC+YL+osQOzLh1Kz71FOpSWewt1KO0f7v9wPytzdKjttLUjEZa1 iKt3KAz2RYdwAbOGffDI3VfubZmq72m4rh1qC2NSOi3YL96hcQazZofw5Vn4 K/L+GW5qpK+clntLOC1trCfKu1i4bo4D46X8HoDZwHA3hLsx3Eodwoh+L9Mh rBmHZe0zDtumwnX5cCt0KAx+WzoPaVd0HGWt2dHGZhWPBxiv7Hq4Xq1D4wEG /0X5/4brAJdEedcIt6rzkW77VJitHW5T95n+5Yn6ulG4dY0147CefcZhfftg vIF98OveoWeRPBs6DrzX8fhwbxOPB/VtbFy53sz1M8f8zz4Yb25/abu5jekW vgavo8NtA67hdnI/V/P1CsZyO/uMz/b2wW8H+6u4jNaY7Og4ytrLfQOPRiIs dwk3S3y7Zw63eoR3TYXl7uH2MK70e0/75N85Vflbh9vb5YHrYe4nfTrY4wEe +xnfaVgmGpP9wx3g8QG/A+2D674eG/Ic5DjK2sf1cO9Q40t9h7gerg93/TyD e6Zq45HhjnJ7webXiJ8U7tN4X44xvuB6Z7izw51Dv1JhcGq4440vWJ5gn/GZ MzCbI9zOjH8iLE8Kd53zkPZkY7yry93XeJxufMH1tOnwPtPjBK5n2d/H7drH +c9wPtItkQjLc8Nd6X7yHF3q8QCPC4wvWF5on/G5yD74XWwfXM/32JDnEsdR 1nnTjdsV0+G6f6rw5eGucv3gerX9Y8NdY/84u+2N6bW+Pt73t/O929xP8LjR uILlganG5KZwN3t8wO8W++C6ZKL0zGW3Oo6yerlv4HGH8QXX210P10snwvKu cD2NK/2+2z75548xny/ciRHu7fLAtb/7SZ8e9niAx73GFyzvs8/4HJoKswfC PWj8wLWPx4Y8DzmOsu5xPdzrZ3ypr6/r4XqA6+cZXCTauHC46yO8bCI8Hu3Q +3SQx/fwVFg+Hm6QMQXLJ+2D39PGi/dj+UTYPBPuKWPHvcFOy7gNsc+9Z6fD 8nnjRT+GGVPG5EX3GZyGOi33XnBa7j3ntOR/z22lje/bp/5Xp8NyuH3we8N4 MT4j7YPTCGPHvdeclnF7yW1hrJLArx7ukQiPNk5PhHvbWPLNPDpVva+EWzFR /Fvh3nVa2npsqryjwr3ueqj7A7cdzMqopxHuzQh/aHzBfqxxAbNP7YPHJ8aX eysnGpOPwn3s8eHeZ04L9iemauPX4b4wvmA/ztiB2edOy71v3Cfufem0YPNH uDFu4xi3nbaOd9/A9Xv7YP+T8QCzk1NhMDHcqoniJ4T7wWkZn2/dFsbkF2MG 9r95vMHsV+PLs/Cd01L3JKfl3u9OSxsnOy3516rFmIZLwq1tPw03xdiB69/2 wf4/4wJmnWryweNf48u9qU7L+Pxjn3unp8J7xsg3a019o70z14Qv2M9WE3Zg NlNN6bnXuaa03JulprTk7+q20saOmnzqXzMRlnNG3Fw1hcF+/ppwAbMFavLB Y76a8OXemanGZJ6Im72mtjAmXWpKC/aLRPjP8P8Kt1BN+PIsdItndolwP0Z4 wZrScm/RmtLS1rUT5V044lZP9JxyXaup7WC2Qk3t6+Ix+dfYN2rCBcxK++BR 1ITrTB6//zw+56aKz8NVTgv2y0Ubl+WbHeHFasIX7JestTFrOi33uieK7xZu caed3X1qvWc8R//4WVg2wvPWhOty9sF+pZpwAbP1EmGwcrgV3VfuLe+09P/8 VOOwdLhVakoP9mvUNN5gtlpN+PIsLFNTeupe1Wm5t6bT0sbVnZb8cBG4H3z8 4lQ4dQ93S4RPx6edxhfsNzIuYLaxffDY0Phyb32nZXw2sM+9VQLvlXk+IryF +0R7NzOuYL9VTdiB2QaJ4jcNt6XTcu/SVHk3D7d3uHXdxn3sU/+2NT1D4Lqd fbDfybiA2c72wWNH48u9jRKNyfbhtnZbGJNdnBbsr0yF057hdjO+zCXbOC11 7+q03NvLuNLW3Z2W+WYHjz917+u2g9lJbh917m98wf5g4wFmV6fC4NBwmySK PyjcAU7L+KwVeK8ZbpMIH2bMwP4o9432HmF8wf4YYwdmhzst9452Wu4d6bTk Pzfcfm7jfm47bT3efQPXE+yD/SnGBcxOtQ8eJ7uv3DvRaen/ZonG4dhw16fC m+fybI83mJ1pfHkWjvO4UfcZHh/uneO0tPEspyU/3+QWf2RseP551jdPhOUF 4S40rmB/mXEBs8vtg8elxpd7N6Yak4vDXeLx4d4VTgv217hPtPcq4wv21xk7 MLvSabl3rdNyb8tEea8O13u6Nt6Wqs4+tKGmZwhce9gH+9uMC5jdbh88bjWu 3LvJaRmf690WxuQOpwX7TXmmwp0f4buML8/CDU5L3Xc6Lfe2TtTOXuF6Ou15 djw7PLP3TofZ066PMu43vmD/sHEBs20TYdA33EPGl3sPOC3j86B97vUzZmD/ qPtGewcYX7B/zNiBWX+n5d5Ap+XeI05L/vUDg/XCHRjh+9x22vpkTXMnuA62 D/bPGi8w2CrybRnu7gg/475yb4jTMj6Puy2MyfaJ8BsW7iXjRZ13pxrzF8if qt5B4Z4z3jwjLzstWL7oZ4T8fCcmmlu94vvgN9zYgesIYwx+I40LmL3hOK7f Mi7gumOi9K+He9Npufe274Nln1RtfDfceKelnveNHZh9YB883nOfuDfGcU+F +8jPCvh97X7Sjy+MB3392PfBfofAe/twQyO8cyIsx4b71LiC2TtuI8/CfanK +Tzch66T+r7yGFDfl66H629c/6vhxtkHy2/tvxZulMtmbHdN1Pfvwn1vDMB1 grED14dS4TQp3M/GkTb+4LSMyU9Oy73don+7hvskwj/6PmX9arzB8nfjC5YT XR7t+tP9BNe/7IPfH07LvQ/qMS7hhoSbOh1+s9TVZ/r6nzFjHGaqa2zAZoa6 8AK/OerqA23sVFda7u2ZCI9ZI65vqnL+DTdzXWVQR+e60vDszFhXedQxe104 Uu7uidr2d7jZ6krLvTnrqhOM564LO3AdHHXV43rNcAuG+804zVPXfXB6JNU4 zBdx89cVBtcF6vInhxuU6v6y4brUFUdZA1P1gzoWrgtT8F6ornq43ifGbe9w UyK8d6K2d437HXWFwXuRuvIxPkldZYL3EnX1H1ybdeEHTnlduINTYZ8xadgH 19I+Y5jVNR7k2TdROVW4tK56uLd4XZhS32Kuh+turh+Ml7Q/V7il7M9tPHgG edeXdtw8vj/Bz/JBzKnhFo24FerCFyxXtM/4rGQf/Fa2D67Le2zIs4rjwKy7 +wYeq9fbuO6fKLxauLXqGh9wXds+/V7HPvmXq7fHf12XB66bu5/0adO6xgM8 DkyE3wbhNjSWjM9G9sFvY/vgur7HhjHZxHGUtZ7r4d7/jC/1beZ6uH4m1XO3 Zbit6grT3q3tg81vxp73fxvHgfG29sH4iMD+8HCrRni3ut4JsNnZOIHf9eFO CHdiuIMTxe8Ubr/p+rqDx4Zx2N1lgOteHg/wG5qq/F3D7eN+gsGhicrZN9ze Tsu9PVwGY3KAcQS/I91n+nqQsWMcXkiFx+HhDjFe4Pd6xJ8c/o2032m5d5TL AJsDXTZlHTEdrkf7Ppgd6vIY/2PDbRdu+3D7GwPad4zTcq9HXfWeEm5P9wMs jgu8jw23o+/tauzPc1n09TTjCAbnO442nuq03LvAcWDwUqpyqO8M1wf25xhX xup0l8e9cx1HfWc6LdifZZ/xOc79Y2wvdD3gd5Vxoa8XG2uwucJjA66XeRzA 8vBEzwvP0PBU8ZeGu9plgOVFLpuyrnQZ1HGN79OWy10edRydqLzr6nouKZ9n 9pTA9eRwx4NVpHkq/DHhbjLW4PdcuF7heoe7xViDzbGR/uzw7wh3m3EEm0Hh bnbaW52We33c7ot9/1SXdWdd5YD93R5XxvB2l3eW677AuN5j/yK363zfu8tl MFb3GzNwPT5RvweEe9C4gH0/YwpmDxtHxopnkXedefQhp+XeI8aP9/sBl01Z ZwV+Z4a7NsJvp3pvBobr6/Ko4/G6nm9wfTNV2+4L91hd6bn3vPtJ/3q6H2Dx 5HRYnpgIb8ZpqNOB2TPGEQwGOy1j8rTHh3uvut1gMMT3wXiYywDLF1w/Y/Ws y6OOl91ecH3FPmW9myr+pXBPuH+M7WvGDlxHuZ9gMMK4gP37qXB6O9zJicZn ZF3vENgzP17AWipc/wiPdhnU87rLpqx3jDd1vOv7PINveswZt/eNI9gMNwa0 7z2n5d6HxhXMPrIPruxbsw/MfvDnHidw+tj3wekT+4zJWPvg+ql93qEpzkPa zxxHWd8ZL/r0lbEE749Shb8M941xZwzH2acf39on/9fOR7rxLg+8f3P/4aeT jCM4/Wi8wemTVOPwU7ifPSbgOtE+Y3h6ovQ/hPvFcZR1WYzPpeHeiPBkY0p9 v7oers9MNK/8Hu6PusLg/ad98H7W+go0GX85DryWiLZdj24gwjMl6id4/GN8 wfJf+4zP56kw6xRpZ0gUBtepHhvyzJgojrLmSNQn8JglEb7gOnOierjunGic wPWa6OvV4b6P8NnOOzuc1GNLHR3RhgsS4VlF+OpEfSoifG4iHBLsEomwTCN8 SaLxyZgfEuGXR/iyRLjWI3xRojG5IvzLE41tLeIvTDRuZYSvSoRrI8JXJsK7 GeFrEj2Di0X4Wrd38QhflwibWRP1m37eyF5YIlwfsP4HXdAKqfRu4LF0hG9O hOUyrK8Tjc+yEb41EX7LoYNKhCsaMnRNaJaWj/jbE9WJDg69FvWsGPHnJ8Lz rnB3oskIt0oqXd29XaWDQ7uFJuwy5+P67kjXM9F4oqt7yOW2tG7ostDBDbSu Bv0ami+0X3MmCqNnQ0+Hzgu9V0tXx/VVTouG7HqXwb0rHUd9PVxPS+/2mOtD NzfI7Zg3URgd3RqptGJPRngp9hn9zN5mnNByLRnxPRI9z2ul0va92FUaOt4Z NGFo6Yb6Gg3dMF+jxSOMpu5Op0VPhrYODdrz7hMarteNI+Pc0tzhv9S1rat7 tWtbVze8a1tXx3VLO8gYz5WozH7uA/qs991/9FmjjR06pzeN5du+bunq3u7a 1tW94zEg7UhjPNr3+jsOPdm6qTRw70V4vkR1DTKWY9yOlsZuTNe2xo5rbBLY eLDvtPR23MM2gb0HGxv9R5/1jbFDL4Y+bP1UurovjBf6ri+7tnV1XG+aSlv2 nzH+xvfoE7qsH40jWrCWfupb19clkZZthPuJnup79/tHX7c0ed91bevwJrgP 6LP+dP/RaP1m7NCJTTSWk3y9UKIw2G2cSpP3q8eAtD97LCljssfpZ9f3oetp 6eP+cH0tvR3tYI7/29doTAijqUOfiD/MmKILQx+G9gs9ElqjRRLpucYbO3Ri 3AdLNGBcgxf6Lq7BD50X11+5LPRkYEQ53KNP6LXQGoEj3/mW5g4fTRg4ogGD B7T0c1zTb/JxzXhTNhq1lg6PcukDei60WfQfTRbaLLBD94UmDCzRf3ENXmi9 uAY/NF9cb5FKqzd/hzCmDO51TVQXY4bGDV1YC1/C1LdVKv1c4vahz0qNRe7r oR6HT7q2dXjgjo4JTdDW7j96rW7GDs0X2q9aonBn44XOazHjuISvs0T6pqa5 VDffo/8ruB5wROvV0twt5fpaujo0YEmiMH3eLpXGbjmP3zLOD44rulz6h/4K XdYOqfRwaxk7dF8rezxW9TV4reZrtHWEu3oMSLuSx5K9wTU8Tiu5vsz1tHRw +Gt3tHV163a0dXVct3R1XM9iLFsauw19b2bHNdw/dFtbGDs0X5sYy8183dLV bdbR1tX9z2NA2o2N0Ra+19LGoSnaJZV2bSvanKiuZY3jtn4OWhq7bTvaGrvt PN6UvZFx3NHl0gf0XPu6/+i19jJ27LOi/dotla5uN+OFzmv3jraujmv0dzt5 bLq7jD09Tju5vvVdT0sHt4/rKxO1YUO3D33W/h1tXd0Bxg6tF7of7NnsM7DX Anbouw4xXof5mvcBbdeRxvJw39srla7uCON1tNOhgzvBbQUX9FzHGTt0XejA monK2dL4HuP8LV3d8cb7OOdhfc8alLUobUI3dbExRQt2UkdbG4d2a/FEGrv9 jCm6r9OM4xm+Br9znKele0NPtU8qzd8pHW1t3IUeJ8o4taOtn7vAmKIFO88Y X+Dr/R13rvG61O0+LJXe6/4IL5VIS0U7Dkiln7uso62Zu6qjrZm72hgRd6XH Az3Y5cb9Sl+D2bXOc1AqnVyPDunUrjO+LZ3czcb6Ouc51XE3GVP0dmjFWhpE tHHdEvXlcF+j7brN9+/wdUsn19NY9PL1uY67y7jf6TyMx61uE/j1dp6WTu5e jwP6r3s8hrc5z4WOI88yidJf6vG813n2clvJh84ILcwEY4c2DM0W+rgBxuKI VHq4x4w3+qyHPQb9fA0uaL4eNXbk7e/+o4Fqad/wBzs/uqTX3G7injTe6MKe 6Gjr7QZ5DIh73HWiiRrhce3vOLB72vWBAVqt591v9FkvGm90Yc96DIb5uo/v v+D+jHD7lktUJmPzkNs73GNGGc90tHV16MGOSaV7e9k4EodWbIVEbWA80LKh IULTdYXLpYxVEumnXnJf0WqN7mjr+dBpobkbaXzB+m2P4SDff9cYkW+U24he q6V9w0ejc6XHgLpXSqRZe9rjgy7sA+PY0rINdtz7xol2ovc6LpWG7x3jONb1 nZRKV/eVMUCj9Y3HA13YZ8b6C1+/4vtfd7T1iG90tLV9Y30NbmiwnnMZn3a0 dXXjPT5ow771+I339XDH0Y5TUuntfu6QxoL9fTQB6GjQeKALAUf0YJPcf/Rc aLdWSxT+0HgQ95uxn+w87ztusrFGF/VnR1sDN7WjraWb4v6j0frX4zPFeT5z 3D/u/1TnoU1ootBRtbRrXJ+RSlc3Q004ov9C70X/0W2h3wIP9Fpcgwdx6MDA Hv0YeVp6vv+MK9ou8rA3zh45mirmC3Rh6MDWSJSeZwK9G+kZJ/bRaSN5zkql pZu7pjGgTuoDI7ReC7gO9FPoqMAVXRgaMPBAo4V2q6Xt4xqMiEPXtVai9H8Y a+LQh4EZWi/yrJNID0dbwRUtXd0YoXNB7wLWxJHnvFSaucxYkDdxm9BPoaNi nLnuYhzRdpXGuulrMELPhX7rglQ6tqVq0tzR39k9Hos5D2PQcJvAehk/m2CE lmr5WltLt2ytrf9rGOtlnaeL27iCn4/lnae330PeodF+nn4xZmi+VjHWq/ka PNBorVlra0PXMkbEreHxWN15OhzH9fqJ0qduH5qu9Yw1GqPuxgidFHqpS1Jp 79aptTVz6xuL9ZyHNqGJ2rHW1q5xjZ5uYz9DYI0ubFPjgUZrS/d/a18v4zje +ctSaen+5zHYyG0Cs22cB20aWqrta20t3ba1tv5vI2O9rfOs4jaSZ8NE6Xlu 1k3kL2SMdnEfqAON05HGFT3YrsYI3dae7v/evr4qlfZuD4/H7s6zcaLw2rW2 FnBvtw9t0f7GFf3XvsYIPddBxnpf50Erd4D7tmGtrWtb2H1b2eO8q/sAjmi+ DjOuR/gaPNBzod3aNFF4O2N0tPu8lftNnmtS6fkOMdZovY41RmipTqy1tXRo wDZ3nYca6+Odhzad7Dw7OR95evnZ59vS0t7xDRjl94B5jv6j1zrLfUajdY7H AF3Y6R6DM329r++TB/0FugI0A7QLDVRL+4aPruvWVLrSmyPcI5VO7qKa9FPn eZwYD7RsFxj789wO6kMTdavH9Sy3A6wvc330H63WNe4z+qzrjDW6sCuM/VW+ Pt73r3XfKPuWWlvbR7lbJdJeneqxusL3wI74HsYaXdgNtbbe7kZjf4Pbcazb hf4MnRd6pKedDi3QQPcZrVYv44U+q4/7yvrsduN9l8u4PZXm756atHg9jRd9 w4bX0sThP+hxutNltbRxDxg7dF/3uc8P+PoSx93rftDGRz0ePd2ObRLVdZX7 /bj70zOVFu0JY4z+a4CxeNTX2yVKf1OtrUe8zRihK+vrtoLTU8avv+/d7rgh tbbG7knnH+LrWxyHbqylsWAvfotE7T3GYz/A5YITNlB0WjskCj9sDNB5vWRc XvE1+dBVjTSW5MO22iuVJu95jx/aMDRk6LPQtkzwGKM1G+Z+ovt63e2gvJa2 7g3fuz+VFu0zj8+rbgdYvu2y6Se6mnddLpqssR63d5yOsRnla7B533kecRlv erxfcrvRyqH/erbW1uSRh+eX+I88DujCxnisPvL1EMd94GflWecDC7Ren/se 2qffam3NHBqvXRLpyF5zO750Htr1la9burpxxoJ8X7ufPxvrN403ei+0lrSh pzEm7gfjiy5svPH+wdevO+479+MPt/Vl10M7dkukCxvlPv/pdC393J8eD7Rh k4wdfW1poCb7HuMx0e1Gu/eX8aWfzKlorh5OpQX8xVgQhx6rXyqd3D/GlLh/ PfboxdCNHW7bCfvxtB3dF/M1eho0HWg76DN6LnRcYIN2Cy0X+KILQx+2R6Lw t8aJ++QBJ/KhA6OfaKPQSD2aSjM3b72tM0O/tFcizddEjxMaMPRf9J94rhk3 4mgHGjS0UminGI/Ojmtp76iPfqLnQstF/9FuoeVizNCGoRVjbNCDcf1YKk1e DQwStY2+MSZozCi3pZNDd8W4UUaXeltLl3ts0IWl/v7lvmYciKMdaPrQoDGu 6Lk28XzU0pmtVW/r5NBx7ZdIRzaPx4M8ixnrJXwNRks7T0tv163e1sa1tHL4 6LpuSKWhP82YEbe8xwlt2LLGcXlfP5lKy7iMcaSNa/qZ6OZ2tLR3K9XbOrm1 jQF6re4eD/Ri6MOGpNJZrmGMujtPZ/ePMWZ8VnG5LZ0cOir0gMQv4ueAuA08 PujFeJYPSBQuPT7ruR04nnH0TLyTi7ge+rCpx6Olk9uq3tbDbWN80Xah8Too UXhp47SN8yzrfOjDhqXStO3iPqM/2sn50UOhZUJbt4P7CXZoQbZzn3fw9YqO ox0vptKxHRbhZ1Pp/LbweKD7QuN1SKJ3eX1jg4ZrP+OLtmsP472XrzfwfXRg hyVq2+Ye591d7mZu78Ee1z18b1PHof3iOUZvdoBxPMjXGzmOdjA38/7P5Gdn M5fBPbQ/57qvaLqmab8yabt2MK5ou44w1kf5GoyOc55tne9otxEtVksrh48G a0mPwWbuG3Fov15OpZM7yTgSd7LHDA3ZCcaJNp7jMT/a7QDHM1wffT3f/QED tFvotY5IpO3ax1hTxtnG6ALn2dL9O9zjc6bLfS2VNu6SeluHx72jEunLpmkP E/FT1j+MFfEt3dxFbsfRgee/iTSVYIfWC3s6v1PxSKK9O/qEjutK9xn9Fzqw Eam0kjfUpaG7xriD99XOwxhc42uwQ+d1o3FBo3WL8UYzdZP7gCbrNuN9k/Oc 4bhbPW63OA9tQgf1kOvr62uwRLt1p8enp69b+rnexqCPry9wXC+P093Oc0yi 9oDvcYnSX2yM0FChAePbiR7sPo8fdaI5eyuV1u1e4/qQ81zmfPd7jHu5PjDq 5z6clEhj1cdYo+EaYDzQdz3u/g/ydQ/HoQF7J5UO71FjTdxAY/ak89A+9F1P GVf0cIONETquZ4z1YOe503HkOSFR+tvdJvRT6KLQAPbzeNMn9F3DjOvzvgYj NFov1dtaOq7fS6Wle9Hj8YLzMAZD3SYwe9V5wAht1+vGFf3XcOM4zHkedBx5 0NCNML4PO980jV6i31FCU3BvIm0KuhQwQ9/1jnEd7WvwQEeGvuuUROEhxoi4 9zwe7zrPIMe9a6zReo2pt3VynxhXdF4fGSN0XJ/W2zq8D+ttLd3Yeltv97Hb hH5qouub5OuPU+nnvjDWaL2+rLc1c+Pc/+983dLVfePx+Np5GIPP3SYwG+88 6OPQW/3ksUc7hg7stETpGT80ceM9Ti0tHXnGptLbTQDLVDrIt4zRr+4DdXS2 Pgpc0XlNNh7oyP50/6f4uqWlQ+t1hnVhHxhr4n43Zn87z1nWdn1uXNHSTTVG M1hrNNZx5Pkila7uv3pbb0eege7b2x7nye4DOM5sPRi4zmI9GBjNYX1Xr0S6 KzRX6Ono73iPx6zWjDEGM1oTtVrU39t5+iT6HTS0P+tE/IOJNEeM20zWpPV2 HBqk71Ll4Vkfh23A+V9xW8l3XyLNEHqhLxOdscQ+0TfRb2mhSemf6Hes0IY8 nEgrg05mYqp3iXu0pYv1TxtGfD9f8z1Z2N+UgYl+lwqtxP+YqxJpWx5P9O1B X9DPcWhdBiTSeaDx+D1VO8g/NNHvxbCn+nSi/WP2jqemqoPfNBpkn/35nSJ+ SCItxoyZ7vE7QE84Dm3GY4k0FugraBfaDnQdTzkt++d7RDnPJtpXfybRb+Ww 57xNqrLI82QiDQH6gdky5aetQ5yPvfjBiX63CC3Ac4l+I4b91ROinJGJ9qP2 w2aQaO/6pUS/XcIeI3HsE7NHPCzR/it7r/NkwoXffXnBPvurh7AX5zzDE/3e B/tmryT6TRP28Y6KNK8l2utbMFN+7r3sOPb+Xky0n8pe6ruJflMAu/6zbiN7 668m2udjj++NRL95wd7cm4l+h4K9oBGJ9vnY48ujrtd97zX3mz24jkzt4zdF 3k70exDst4xK9BsB7G+cxp5bov2o152W/b2RjmN/6q1EezPsyyyWqR3kh/tw DgfO+0Ci3+ND17Z0pjr4TYL37WPrvSjq+jCR3XrFTPc4r/+e47Bjj060v8Le yphEvxGADf4jp8VWfAVar0S28E8SnWnH9vxponPm2Ho/SLRnwH7B6pnyc+9D 58NufmeUMz6RvW3zSDMu0flXysa+jG35Or4Dvv460RlmbIrEYfPC3vVZIr4I V+yeqR28/x8nsqFjP785yvnGeb5LdHYXexV1cvYY+9znic6cY6/dKNM8wr1v 3Ebsa18lsp/CTRk39qvYq/rebcfu9Weic26sEX9MdMYV29VPic6RYoP5Ifyd EtkKt82Un3vggZ0OG909fGd8PTHR2U7sH5MSnbHEZvAgtpNEtqXJic4HYjOY 4DhsTT8nsulgz9k5UzvIf06qsacP3yayXWK33DNTHZxZ/N0+doknIv1fiewK +2e6x1m63xyHneHXRHYQbCC0C9sKdpUpTssa92nsOonWtVMTnVVjTTkgVVnk +SORvQBbwaGZ8vOs/+V8rIWPTLT2gLeyboFPw1Upm3Uja8bn2UdNdY3PuoU1 y6sRnsXXM6c6t8P6YMZU6wnK/S/RGpL144mZ7lEn+eDW8OqZUq1bWLOcHmlm TXW2ZlanpW0jIzy788yW6jwPvHj+VN97vvWfRXghX8+V6twL/JR8cFb46pyp uDW8er5U5y7gL/OkOlsCRxvN3qzzzOG2wJeJg/PB9+ZNxXXgORdnys/5oc6p 1gmsET5M1T7yLJjq/ADf/wWcFm5ybqY6qPvKTPc4KwDnQKMOV+mSiq/AVRaJ 8HmJ+AfcC409POo6fscplbZ+0VS6fDgGeJyTiA/BvdDJ/2SOgsa+xRfR4U80 z0JXP9l8Db39z+Y16PBb/Ayt/i/mNejb4TYLu+2/m4uhw//D/Az9/5/mTJxl mGoOhca+xb2uS9r8DK0++Wj7FW4//b7RfYfjoLdvcSN0451c35VuA9foxv8z F0OT3+JGNztfT/adp5vr8fmmoLlHew8ng6/1NJ43Rtpvp+NS+HAwuBScCu38 DZHm67TN7+BhcDDWFnAs+FUPuLE5E9yKbw/fHfgXvApOxbfo/kRadXgVaVmn wOngWPAreAccAv4Af4FbwCtuivJ/mY4n4cPZbo74P6bjRvhwMHgWXAeeA6eD b8G14GvwP7gf/AtuBC+CB8Gd4FRwHTgP3AmeB2+Ds8Fr4HNwOfgUfAgudEu0 4Z9U+eG5nIPgObo14mcyT7oz/Jo5ARwKbgevg8vAbeB7cD14D5znNrQW5j1w KDgZfAyeBS+Bk8Cb4FjwK7gSPAYOc3vkm9dcB24E14HnwGXgWPAruBLcC94F HyItnIrn4w73A25H2+GH8CM4EPwH7gPfgmvBieA9cB64DNwIXgTvoa/wFngW HGjab6pFuxYyB4ITwWngM3Au+BBcCB4Dn4FTwX1IC5e7K/IV5jrwIL61fGfh XPAhuNDfiWyX2C3hR3CXab+PlOh95j3i28Y3Dm4DT4HTwGfgO3AReAh8B74C V7k76lxmOm6ED3fqFXErmcfAX+Ao8BM4DjwDjgHngHvAf+A6pIUv9Y58a5iX wC/gTPAlvrfwADgA33a4AjwBrgO/gdvcE/nWNReBu8BF4CF90EiYM8Fl4Ebw IvgKaVn7wH3gRvAiuAlp4Tn3Rr4tzDngJvAhuBDcCg4E/4HjwAngA/AS0sJt 4EFwFPgJnAs+BBeCo8A54Bt8n/kG8/2FZ8A34Dz3R527TMct8OEw8BS4AjwB TgRfgavAZeA9Y70nBbeAV8Aj4B5wErgCnAHuAY+Ae8G74F/wIbgQfAQ+AZd4 IOrfy9yFbz/fcr7j90XcduZG8Az4BlwFDvK3nzF4AZwbvs1zBz+AGzwU+Q6z LZIz43Aa+AycCL4CV4FfdEplf4VTwBvgDA9HvmPMLR5Ep2Gu0+IrcBX4Ahzl BHMe0sJPKI/6KBOeznqGtQx8hG8533F4BJwDvsG3HQ4Bf4A7wDPgGHy/+Y7D E+AocA74Rr9oyxn+xsMn4BDwB7gA/APuAReAP8A9BkTaS8wD+qN/MLeAQ8Al 4DnwF/jHC/5Wc0Zusr97hd9Zvv9wDvgGfAgewDeUs2XwA75lcIeutsPAL+AW fFsfiTqvytrfc9oyxtyBc30/mTtwZm+SuQNn8+ALcCL4yufmDpzN+9ncgXN9 v5o7cPYP/tA36jnJnA++wJk9vuGrpjrzxnk3uABnCP8yX+A8JJyBb3s322Tg FJzlm2rexHm/KeYUnPeDV8AROEsGL4CzcE4PXgCP4CwfvIC5nLN5zOdwBM6k wRP4RnGWb9p3KtF5P7hEi6eebY7D+UN4DriuZGwHRv8ezXR+7/HwH8t85s0+ 58NIQ38vifATTsv5MzgIZw75zpCX83K3dtXZBrTp6NCHZDoTx7kreMqKHt9B mcriHuG1jOfaqcKcoRucqR2cGVstj7ky1/ka4jlLxrk8zia8nul8AudNXsp0 5oSzEsMznZfAjch0boLwq5nOs7yWKS/nTcjPNecbOCv2bKbzYi9mKpN6OaPz cqZzOts7PXk5OzY00/mx7Z2G8yX4rzg9mIEz5yPBcmDWjiMMtnDsAX6/aCPt 5+wM/PkRP/Oc+Xom07mvbZ2ONJydoS7q39P95QwE6fhvA86EMZ6ML+cXiR+W 6ewY/nMOj8ukfUT/OSGT1g7d1ndwy0yav+/hh75HPFpAtJeXp9Lnoc37MZPu DX0g6YlHS/lzJi0c+qyfMtWBhozy0FuinwT7ocb/B9eJtg49Nr8xyu80ct6K NnPmanP3hTNbm3jsOO8FPowfZ5gohzbRHs5bvZBpPJ/PFObcH/ylmYmPtO5x HmsTh0mzucvkeaC8H9wf1ln9PR+ydn7A3yA0zJ9m0jGjvx6bSYP9VfhfZ9IA o7/+LJMGG+3tN5nwJ+2nTn+y86J9Q+tKfvSwaIk/z6QnPt3loCnG/9xloun9 MlPZlxprcMZnbBgX6hzneimfsWZMeRbGeWyI+87x57ucpRwmPxrYS/xMMGa4 H4z5ZX5uqB+9Ln0/12koF50p6+u+nm9Pdx/Bh75/kUkHzrvJnMJ8sqbDzBX4 TznMe8XcwnzS3c8/Z0559pmnmKPYW+S7zjeddS7fQr6D2CL4TvONxibA93tG l/GMy6EtX7o9nC2lXtrFnMTc1N3v3xuec5hbRmY6P3Wm+4J2ETsMnAmetIbn 39U9/zEnrul+DJquL8yHg7u27zEPT4vLNB+25m7CnHWiDcwHF6YaS8br2lTa TXSbvGfMX625jueb94W+MtfQX96zYb5H/NOefzZLlZf3gveD94T35ZMIf5zp ud491RxN35lrmTN39Xz5rPN8mOncCuchnjWWvL8bpMKXtjEXMtft7Hmd+Z15 b4TjmOt2TDUPMicPcxuZE5gXiWcepi/MHcx1jBvl88xsGN+WB3OdCxvpNu7u OZy5gPmceeJ5Xx+Z6rwNZ23GRNwHmc6TgPcIY75vqnNZnMl6y3Gcf3on01kt zi29mak+rgnvY6xGZUrHOai3M+Xf32HOXNHO93yfMzcHpzo3xZmp9zPdO9zt 4TnYymUe5PZ87Pa+4vRHOO+7mc56Xebw6Eznvhi73Yzt8anOkzAvMScxrzEv feC0nKf5KNO4cg98OG9zv+OPM27MK994buG54NvF93frVHM049U7lTYRXSLP FedVOLPDt4NnmG/NlExp0JT+kul7gob3n0yaxhec5i9f/51J54n2cCrvVirN J2Hu8Tt//9lHB/dvJi0jbTg71XzKPMkcQJh54NRUcz1h5l3mX+Yw5u9TjBXx zNfMyfSbuYA5k/mAOY45gTK/8L1vPUcyNzJffuVrwsyhzI1fuR6+BfAUOBDf pk65+oD2jvaDBVrMyZk0zeip/sikbUZz+nuEf8ukzaXNY92mO1JpdsH2M7/T fF+oi/mCbyzv18seP96RrTwnvOr7y7s9aAFHRzkPpMITXehfrhPNKW371W36 M1P77nIYbS4a7Bly9QPN4MRMfAJ9GO2nnWizJ2V6DtBqkwYNGdr7m1JpuEnz q/Od7vQ9PB/+5nxomUf7neO8Hc/dJ+4/7xzvJu8v33vWQSeaa7NeYA3HXj6a A34bB8ceP3F8Y1hzHet12DmZ1l7oIs7OpFchLb+tw2+2sEY8IdNalt+BQsty nMs+y+XzDWN9yrr2Gqe51v4pDp9Shculwzy3EW2vpHM8MfyTKq2ZT477J1da h1/rOihv8SLqamid/UUZz26p36JmbX1apjUleptTM+mRLo37pxayZ/Fu9fG4 nxBlH1/pu8dvtKEnW8U+v93Gb4ix74kNbtreZyZbG7Yn9iixwWHDYt8N2xO2 JPYBsZFh82LvDLsSNiX2ibDLYJNhvwxb6rR9uUy2nmn7VZnsL9hT2LfFLtnf a/pDMtk52K/EfoftDj3AhZm0K+jljsykCdzBfaD9aAUPzqTPRKN1fCZNHf08 0P2epv/KNJ47OkwZIzz2jDucA7sBNglsLUdlshlM05g5L3t82LOwYTUD7yMq 2VQuDv+iSjx0tYi/t2HtVYzvC5VsEy+Gf0kubd7LEX6t0rPyQKR9qZKGa43I +3ol+8Sw8IdW4kRPhH9yU214JMIX5NL1nR/+gEp2k+Hhn9rUc3RXlPloJT3g SlHm7Q3ZSG6NuFsqca5+4fev1Ocb4/5dlTSDK0T6PpXsIH3Df7gSd7st/Nsr Pfd3hn9OLs3nMpH+ukq2ouUIN2TLuTLirq30G43X8Bw2NRZnR747KtmAzgz/ 2KZ+v3FghAdVwnqVKOfJSjae7Whjru/FzhE+sqnfLN0hwrtU+q3Wg0lb6TdN j4z6t6/0Hlwe4SsqaVQvCf/SSvag06O8yyrZsJaKui5pyC51WsSdVen3NbtF /NmV7F7Phf98pbkmi/jDGrKrHR3lbFvJ5rgv+SrtB+4HHpVsc5eHf0YubXMZ eU9oyPa2dcRvU8lGdmD4J+R6Z08Gv0pz91bhb1lpP/MwxqGp3/wsopxdK9k4 j498B1Sy8TFXwjPgGGgesO8PtJ3pokx2I+xx1IkNEu042n3wRPOO9p3fvB3q eOKwU2LbxN45bW85k22S7//Wmb5TfG+rTN9c+o/tj3rYg8auOm1PONNvGVM2 3AcOBF9CZ8+5lLvtb+owWmjGgWcDe+R+mex/6LH3zaRjn+J06KXvdvspD93u 3s5LP3ZwH7H1/i+TzZVv12aZvk3nu+7zvM+7UyYbKt/MHTPxEHgWfOt+864x DsMj4ZO7m3PCF1ucFn4Jt+Sbxj246J4Ok+YA88v9zSXhi3zr9vb37hRz11EO k45vJFzxUIcvNy8FT/gkfJZ69/b9d53+GPNCOOjR7gu8kTEgP5wWHkr6Q/0c 8f2F+8Ef4ZFwSzgmYfjkgc5Lva17j7vMD53maJdFOeiC2Oti74q1Ot/Alt2a dwXbNt8PbPvY+3nusa3zDC7q+Zyx5XfqOYPH+TviDvI8z/7Dapn2E1j/rppp /UU6zkCSDw67diYee4DLOdD+Wg7zHHDejOcCWxt6rNnsX+Mw3ww0bSPs87tv /AbaeF8TxkZ7RSabK9fk5z72Juy62HqxMWFfxbb6ZYSvz2SbwkZ7baY9T/Ra 7DWyv4he7vJMGjnOdOyeidfR3vXdZvZS1sm078GZT87T8n8Kczg8u/3lHA8X 2yATH2NvZ4VM+zm8t+yJsAfCO8aZE965aTqETHsFnzj+Y/u7OQ3reeZa9hYO dPsOsH1j+Ux8nu8oe0PstS7hMVrc/ioeL7gC+zXsBbGHs2GmfRv4BPtH7CnR H85X0z9sVYR/sB1myUxrBLgIe7vsj7H3tVSmvSzSdnPe3nxvm+IIM+Xi8pxT oSxsYZSNljbJxUnK8Ktcuko0gYTRBcJb0lxaRr6pc+XS4qNpzXLpWvFzh9Fn Ekaj+ZHToNN833WhK8RPXS91UDf6RLSy9Vxlo0+fP5c+nbMFc+fS/s8b/nzm DMTNk4tHcVaAe+jKyV/LpcmFN5Ce+3CqBXKVPdTlw6/wF3CYdF3MbYY7jEb9 GZdPvTy3jVxazyJXmGeYtQhrEr4jPb32YA1yt+NZp7B+Yq3COoXvDmtL7nPN uuJ0v9esUVmLss5gnbKnbao/+X2/0vGsTeDIrD1Zk35kPBlH6pzi9rAeoj2s gwYbT3Br9eFtj1HhvsyZa6zhRbSLNp/mNc7v/tbQX65Z79D+P1z+jY4nzV2O Z53Id4q85KNv9Af7MHyYcRxqvBc0/j0b4n+MYa94nntW4vrwsuvNzeCDd5gT Xl2JqzGHwvuWL8T9HoNLFtq76BLh+Zua+xYOf7NCe0ofwTObmqPGRt61C+2P fRPxA5vSaPRoiF/yHjxeiefB8eDI95knX9EQV4OnrRT96JXLXvRgQ/wYbgzH XLoQz4Qjr16IJ8MTVy7EFQdE2kca2pf7KOLHVFqzPUZ7GtLgv1qJf8O9ed55 d9Dkj4z7bza09/V4tL1Xof0k8iyaS7uPWySXxp+zDgvlOsdA+8B/uO+TnrMY rDE7cs0ZXXOFWW++5Lys3Vr3bnSZXZ3mTb+PtK2I9mxTaL+OfAs7L2tAwuSb AA+ttI59J/rxdkNz0oDId1Sh34+cGPfXK7RX2Wor7Xw20j7T0FwyU9S1UaE9 yVcj7pWG5qcXWac0tKfXKdL8W+mbNyTinmpoH3JE5Fsxl15kiViTfp5LM3K9 31PehffhzoX2/T6M8K6F9i3HRHiXQnuDn0R4y0K6g83Df7jQ/tl7Eb9joT3G sRHevdA+55cR3qfQ/t4XEd670L7f1/D6QvuEH0d4i0LP6uesrQvtJW4Q/q+V 1pndI/x5JbvAixF+oZCNeY7oy2yl/s95gfA/yqXHWSjCn+TS7GwSaWdt6ts8 jLV4If3OyPDfKGTbfSL8QYW0P0PCH1zIDv0a675CWptmlFmW+s/JecOfu9T/ FX8abd6j0L7ouxHeodCe6ncRPrDQfuZ43u9Ce5XfR/jgQvuZ30b4gEJ7pBN4 7wvtYY6L8NaF3tMfI3xoob3QiRHe1s/bzxE+otDe4y8RPrrQvuIPET6k0P7n ZxHes9Ce5/uBx6SGuMz3Ed4u2t8pMPkq4vYttDc7KsLbFdpzHs16rdB+8gcR 3rnQfvIHzAFx/RV9552Kcn7iexzhUyI8F/N6hA+M8KzMrxG+PMILRHhchLtH eEqk/zLCS0V4suf+iZ7/p0T8nRG/aFzPE3VOLcUXZ4/4OXLZE+AAM9uG0zn8 2byOw+ZAGr4JnFvt7Hiuyc85yIEOUw5rUWydfZyecuEV2IMonzjmPsrnLCW2 Q2yIrDs4sztLrvXOQIf/9fcCm9uh5m/Y1Fpxk8zlsMPRX96/QW4n5zivdjrS 8A2kbayvWVvNmrfrmdX1kndOf9fu8neT9KsGbk9VsrmwVqLN2ArhTdhCseUu G2lurGSjWTHC91ey43REeJVKa7A1Izyykj1rSZ7HSmu8GSP8Yqm15awRfr8U n1uAd6gSj184wo1K/HWOCI8vxS//BdcIp24TmGKXXozvRiXe3IjwHpXWeLS3 k9fgLXs04budl7F4yGPH85BG3s0qrYGxkc6Yi4czXlxjL33GuHHu8z7Hk4a1 fSfzSzg8efvan8HhtaPtJxY6J9EtwicUPnuRi3vxDXkq1bMIJ4ELDHN4Id8/ 2TwNjgAnhNPBC+BjXczv4GmUCc/bxfyQ53jaGd5c5decd17n4Zmdyc8tfIc+ trgePnwS+yA6OjR6/FYavyvH/4qe6PAJXqvyHrNGfi5V+2kDGr25M2nu2Ltn LmFNRB/ndn+oF07BMzmLMeO9QGeJ3hKtJfXM73o7u708/zzXs/g5h7vB4eBy cPBp37oIj0nF498yz4cjfuk0ma/hsIU5LdyfdHDzCeaIaGNIM9bl/GfujuYE 3sH3lu87485zwLMBx6deeD6coot5xexuL3ML+DN38Bz29zPEe8p4ze7xm7Yu ScVp5/S8wnPIHNPZ16+kGveTjMljLufxVOGa0zM3Mb99mqov9I/fb+T/jBlP fouS/4Tmf41Z26NlRQ+L7RgNJ/rQv/37tvzneO+u+i1mfoeZ/UzmZvYcWd+i p0U/i072m1T61k+dl99jfc6/jTvMv41LOc/Z/8Fh9LA/p9Kf8l/g/G4pv1m6 msP8bzV2MbSv6GG5x2/FknaqfzeW9rKvwjeEvRXs4+hU0cmiaf0tbetk/06l e2XPk29d4nr+c120/de0XfZfrgu8wJHfwMQOjkYXbW/r93/pN7YX5jBsKfzG Hf8vy/+9ognNMulAeb75XULesze9VuV34rAp8T3EdoQWuHMmDewJrpexY4+R 7yf7jNjc0c2iXd3J47qz99z59rJvi60fHSka1ZFuE3Wu7vRgjP53hkwaZPox wX1hn53vOXvraGm7ZNLYYg/kO9zD/eB/iPn/XPYh0P2iYx3ge8Q/4nqJQ5/b NZNO9r2YI1fNpUvmPUr8bi/idwje/mzMpU+X0rUkwS/qDe01XRhx55eaL7pG XEdD2ti/4QaFNMLPwWUKaXVHR3jmQtrbfhGemkvbW0a+qiH97OLhL9bQHuTb kebNUraGS+AjuTTIX8A5C+0jbhHx/yv13JwY/sRc+uXjInxMqfft20j7XSEd 9A/hf19ob35s+J8W0lb/F/6/heyLa0W+r3Odo9s6wt/l0mKPjvvvFtJxf8C3 tdA+/erwoFLP6G8RN7nQfvYs0Y9ZG9Iyzx7+bA3ZC9eN8u7Ptd/9GXjk0naP j3D3XFrtXyO8QS599lrh35tLS3BS1HNKIX32NhE+qZBGfLm43zOXFuL5iFs2 lw5+4UhzfCF9PLqWCV7X3xzxPUo9N/uHf3IhHXw3OF4ubca80d75GtJcPxRp Hij1Lt0W/p+5NN1d4v4CDdlKu0T8Urk09+wPXOo9giej7CVyaffz4Pv7FzqH UIvwboXOJyzJPFxqnmPtdaTXX3w3ptlpsE/H/T1LzZv7hf9jLv3+NnDyhrgb ei40T9gt2HtD+43efK7gHfMV0j5zD80Peq0tWDc1pCPeOPyNGipj9kjfuZJ9 Mwt/wULa5J3g2w1pk+sR31HJhrh+xG3QkN6ZNStr0pbdCx97FOtOeAZrzzdS rUVZt3Z1HOtZ1sG8e6xlCbOWvsTfNdbM2Ctqvo/dibrecTmjUoX5DvKtrBk7 6h3hb9Yv0Y9JhbT/y0Xbl6m0f/BVqX1T7JsHRD/2b8i2tA9rkIZ04uc1tC/L d3TjyFcvpN1m3/Vs771uwHq50r7FUQ3tLcHllwl/2YZ07uwFHe79oJ0q7Uux 38D+TF5oj2Yc68dCmuIzKu0zsbfBXtCJ3g/6izVNIU39ahG3ekNa+BXCX74h /cFa4a/ZkOaLvaklCu1P/c58UspmumLEL1pIw35KQ/tJ8E32KqtC+5WHVtoz w1a7G2vwhmxs2Irusb2I/qAZR0u/ejzbvQvpZS+KenZu6pvD8750U8/8Uk2t 51nL/6+QnQgbURp+0pSmcoZCcyjz51Ce/6Zsqr/lmhOZD7cPf4dS3491w1+v 1Pd1VOTtnet8MHPJOaXmk48i/sNCGpZx4d+X61zv1xH+qpBG6ZPw++Q6j7t0 5Fum1PcbG0O9KTsD8+V5pebMzSOuKvXNujb860q9e1tH/Oalvt3MVeuUmq9u CX/Xpr5Lx0X8jKV+PwDOvkgp3r5Z3J+nFD9hDluw1DzGOhv7DmvtrQrZzliP 8y262N+j2+CcTWmyV2nKroFNA5vcQrbLnVtKU8W+0pYRt1opvvEEbSy1t39q +KeV4tavRF0vF9J8TY7yfmuIN68dee8rpIdeJ8L3F9I6rxXhewtpne+JMvqU +jZ3BY9SfGt43L871znvxyN8R65z6s9E+OlCWuPfo54/GuJ260aZDxbSNPeO MnqV0hoMZb7MdZb971xzN/M2c/P9pebnKZHmoVznodeMcvoU0m1vEOGHCume fwp/QiFN3Nbw4lLnbf6MuD8K6cX+y/W951s/KO4/WYrfHBT+waU400S+ObnO ec8YaWdoSP/1dsS/VUiXNzD8Rwtp1ftiX8nF97tHex4opCMfEuVtk2svDN7x VCnuAR8ZZk6C3bFfIdvjGpH3nkK6c9aCS5ZaD27YlC0GO8xz4Q9raL3yRvjv 5jr7+Dp204Y4+4aF7HfY7rDbzdiU7a5r+B1N7TP9yX54JV3tX+FPqbRHNQPv cVP7V3OFP3dT+1XYF+drao3xQoRH5TrjOG/E3Zxr3bFpIbsqNtWNC9kWsSve FPfnaepswOSo57dK+9OdI262pvbMro80f1c623AjNqGmzgncxve2KW19j6Zs T9idbmjKRoZ97Lqm7IPYBm+J9Nc2dRbiZmxUTZ2R6BHhy5s6t3BNUzZH5gHs nf9UWgfCI7YtxSWmRtwNudaGoyP8biVd0VVN2S6xW17RlA0L+9VNkffKps45 wE1uNT+ZM+LmaEp7/maU8VYlTc+EXDwADrBJhK8vdSbtWPhIQxqubyLt15X0 s1dHmu8qnT+Bi91Yio8tyHzW1B7lH7l4G5wNDrJ+UzwEzrJqU7zlr1wcCP4z Lsr7tpK+6pqIu7qU3ueYSL9RU/8ptF5TNkHsgTfE/U1z7S/35TvTEBdYt5Bd GJvwGqXmTeZMbPAfVOIB/SP8Zq6zvOsU2j9g7+Dj8E9vSmeF/f4T2/AHR/q3 c53HfT/irsjFJS6HJ1Y6n7NWoT0A7P/Ywn+2Pfyn8M9sas8WO/f3ldbe48O/ Jtca/IsIf1lJH7Z+IVs5dvJBkf6JhvjIrRF/fVPnUq6Ifl1Zag2zOe9yrrP1 Fd+6Qmdjnm7oOeYZhhfvVoobz8z4Fzrzw7sy2u/L7qX4Mdx4sUhzQ6GzNCtE +I5C51iWj/Dthc7ALNfU+8C70OSbXOiMDc/pO35WV2LMC52HWTnCPQudmVkx wncWOg9zZtR7Rint1TJNvTO8Ly839K7yni7Ce1/oHNE3udYVrCneDf/MQucP d2HtlUsnuQM2ilzayyY8M9d5wtV4jjy/oY97MZcdY8MoZ4NSupVNS50/QVfJ 2mizUuujkm9doT2pb3OteVjvMNe+5/n2rYa+l3wrWQtuUmo92Ii8Vxc67/Rt xJ1V6HzX4k3NL8wtyzY1xozvow29Y7xfPCNv+Tn5NJ6LywudAfs5FweFfw5G XxRhzpDtE+Vv39Tamed0pJ/VOxvShKEHu7+hZ5fn9rBIf2gpzd3h4R9Rah2O bujlXLaXPaP8vSppU0aw91LoDBuashG5uDTriX29pmC9eILXjNczrxc6y8d6 7uhSa7qjSq3fWLudwxxc6Ixft6bmL+auJZuaN5kzl2hq3mTOPD7y7tiUDeEX 3sdC599+ybV2Zd16L9+QQuf3LmtI+4Xu6wL4fy475DkN6bHQYp0V+c4uZTe8 oSF9G9q2c8J/NZetjzXlkaXWlZszJqXO1m4U/salbDRTKKfQ2dRFo5xHcv2G yqMRP7CU3eTXXGt71vULR5qFGtJZrxr+oFy/7TFPhPvn+h2U8bnWz6yd7wq/ Zym7w1yRZs6G9OlLht+tIc3y0uE/nus3IWaOcN9cv7mSRzhrSL/8fZTxQym9 xUvhv1zqPMzKcX+lhs4QNMIfmOt3TfaM8B4NaYRZv/b1GrY7a5GGzgPdF3Fb 5NImbRZxmzZ0/mB71j0NaXLni3GZv5JG5J9c9gtsF/+E/28pDc3D4e/elG1n vcg3ONfvlOwd4aG5fmtkxwg/k+u3QFaN8larpK86NOKfy/V7GwdH+KCGdOUl a5BKGo7/hb95JT3ZHpH2iVznXD6IeseU0mdsBc/KdSa2f8SdXujs9BoRv3eu c8InNaSjRUO7X0OaPPR4aAaH5dqngHMNMO+avyEuCA98nnmv0LlrMOtn3JaL NLvnOsNci/D2uc5IY2vZo5S95Xa4dKFz4J0behZ5Dv8p9P3m28238WF/H7eM 9Ns2ZSfDxrNVKTvPzuHvVEqHOzffn0LnmQ+IfENy7VX9kMvug81nJb7Phc4n HxLxT+faV83hBYXOG2/ImjfXWeV9wn8y15mgXVir5jqHfET4z+bSHuzC+qWU rXY3vpmFzk4fyb5ooTPD6BOfz7UnsknEn1/onPMRDWkQ0R9e1tT+Lnu79HWv Uv29uak9V/ZbWYuvW2k9vhZ7OJX0hUmhdThr8O6V2kfbNozw4U3pBmn7OpXa j21j1kr2jQXD71JJg7xE+N0q6ZawY61ZypZVK7T+Z+3Pmn4jr+vXDH+NSlpF 1sFLV1oLLx/+oU3pCmephCMY8tzNXOnZ61povc1amz3bxUvZebFDrGBbxCVN 7VuzZ71UpTFjvBaK8MKVtE0840tWes4XKWSXwSZTlLKFYQdbrNS6jjXdtXF/ eK7ffZm/kD0IW9AD4T9YSbuMVvT0Slos5vWjKs3tt0Xe13P9jgta2kMqabjA eMdKONPv9Sv1HX3uVZX0dzx3RaVnj/FfudIzwPOyaaVnhudl90rPzKjw36l0 zmzRSs80zzO2qDltj5oj/AOb0ohdDX9vaF9r8YhfrJJmnGd5kUrP80KFbFjY r7oUsnlh70qwaTSlf+sR4ZsqacqxpXWtZE+7JcI3N7TXhK0rrWTvejr8Zyrp /rE15qXsjZ/l2ptnX35K5Purod9L+5rvbFOatb8jbmpD+xaTSs1lzGOzF7L7 YPOZMcqeqZKuETvNn6VsNXMXsvtg8+kU/gyl9k7+CH//pvRvM0S+TpV09OgF ZimlGUCb0LmUPmG+UjYL7BWzlrJ7YvP8KcITSunW0S/MVWqPZM5S9ghsEcxz v5Sa6+YsZHvC7jQz3L6ps3toEOYvZcfH9jlTKfvnz+FPLKXD+ziXNgJdBDaq X0vZqT4Jf2wpnd+YXBoI9A//RZp/G9I2di5kU8Oehn5kpVIakq9y2amxUWMD +7yUHQxb9Sql7NXwyk9LccuPw/+o1PmDWQrZ6LHPp3zzS+2vJOHXS2lR3wl/ 76a0fyuX0h6hO8JOP6qUrf6LXFoWdCyfleK48NuxufQfaD/mLWQzxV66AniX 2lviuzGi1Ldjed7lUuceZiq0T8AewWsR93opbeKHubQj6EaGw2tKnbFgD2Fk qX2EN0pxa3g1HHBIJR6IxqRRSmfC+1Sr9E5x5o6zmpzxO68p7QW6C/jpsaU4 KvaeB5qy+ZwZ91/K9dtR2FEeacqWgp2mf1O2GtY35ze1xsF+f0ApGz68Hu0U 3P7epjQo6E84m3JyqfMp8He0ZXB41isXNrVm4dt+R+nfRmlKr4NW56Km9C5o XbA/3deUDQpu8kwpfoLtp09T9p8+rEFz/R7VBU3pS9CWYLO8qZTd8nRsIQ3t nbKWuqmp9RS2roeasnfxfv9W6h3vF+GfGvo9ANY6L5Ra7zzclJ4GLU3v8Hs1 tKfK2uK9UusLePFnlbgxz9qXpZ431qP/VVqTYuPp3ZSdB059QSleDYf9rhSP Zf13S1NrQDjLgFK85ULGs6E924upP9fvimFbfauUffWeprRB6IKYV2arNLfA Nf4uxTfO57tfSWffqyldEZoibFd9m7JfYeN8sJSdc0BTOiHsltgb+heyObC+ vKupNSbry9uaWmOyDrih0lrgmPCPraQhRm/7WCXNLevUO5paq97alJYLHRdr l3MrrV9YY91XaZ3FmZK7K2m/729Kk4QeiXXqLE2tVTk380qlszM9m9JCoYPC xvBjJTsD9q0FbOPiG7Jspe/InU3pltAsoWdEL4VtFp41TyWudXzEvZDrd+Ow kd/dlJ2c9f2kSmv825vSqKFPY+34RqX1I+v7i5ta43N258NK53emrVObWqvC MS8rxTMfbEqnhUbr/3E9JW8= "]], Polygon[CompressedData[" 1:eJwtmnmgjdX3xg+hgUII997zvucdjjljSJEocxJCpiIkCUm+pZJkSEopMlTK kMxDoaISSdGsUmnSPKs0Ssrv8/ye/lj3rmevtcd377XWXvtEl47qNrJ4JpOZ yp8S/H8vymS+ymUyh4NMpjP0SJrJNKDssixC8Jo4k1kLvQo/irJ7kkzmT/RP hd8BtUM/i343+B+gZ8DPQteEmcyV4Dfg34SuB18F3g/fAv2r4cvQ5hHaPgSd CP4aXC6fyZSFPi2CwL+g3wr9/yEvBy6JrA34enBF8ELG0gBaAz4HvBn9xsiv AJcAvwJuBh4JPg68iL4WQjvhX4CeQ94U+Qjkx4BfQ/Y6VBl+PGUNmW9dqAr8 n5SdRl9voN8e/mjVTOZ3dDeASyP/grKpjG+KCFwEbox+S+r/Df9o1mOtA/49 8JhXUX8l9LLGClVBVgedHbT9I3g9bb8D/kxtQUvQfRh6EX449Yuh/w/4JPhv KRvBfPLU6QP+DdpL3T2x1/Ioa3oq+nuQV856DH3Qj8A9wT9Di3Mes8baQeNh Lh2Q3wSuAr4Z/Zrgi8GHoFngU8GXwh+BatN+fep/yvh/Q78L9c/VGOHnsQem g2+DbkU3oKwNslZQUdY6HZBlEs/lXvSnwk+B7inIZMqD/2Quz9BfGfS/1PdH /yHoXnAt8MPwS6C54Drgk6hbFjoAv40xvcXYXqSNDwLvsTz4MdprAl6K/B/m cwTaUWSdc2nrHPVBewvVJnxtaDr87dCd8DM0J/gc+nM0FuhOcAq+B/5u6A5w DP6Q/k5hPMvBJ0N3ILsdmgYfIp8NP0ttghPwAHQvgXoy/5LM/0FkC6B7kNdA /gDtVYMWg5uC/2Ju1cFLwF8F/tZvRv6W+uY/wP+IvBRt9abseNo+AfoefjHz n0L9qdAm8CXon6i9BY0A1wOvpO8V0H3w9Sj7gbYupf6Tmh+0Gtkq6H74+shb wZ+tMYMfhMqjWw76uKq/yWJki6A52jvgtfBroAd0VsBl0C2d+NtpjI8gWwrN Q34qeDn8Mmg+uG7gs/M0c2we+Aw1QdZYa4p8NnQlbf2ETh7+KWgLuu+CP0f/ TOgY5PvA5ZA9Ap0N/6POE7LefIOzkX8ALsz6TDcCf45OVfA66GH4ZtAm+C7I 2yL/GpwFb9AZgx9L2dPw1bL+dn/E3sv6hjo7L9B+68Bn6EHZWmgFshaUXUXd 0VqT0HuiLXP7O7btnE1ZDtl+9CvJtkBjwFdD1xS4zvvIKoCX6VtAxeHfo6ws /FJoOXwr6Bn4vrQ5TWcVmgrOgq9NvCZaizK0d5/WHpqpueiM6+xBd4Hz2p/a CzoD4OrgP5jbLznXvQT8PPjjnG1dK62x9iI4Qv8JaBz4L3Sqay9S53nZbqgC uuMoOx3d95GfD84ypgno/0pZTWTP6hvCt4A2w/cIPLfrErelOTYHf0H9C/X9 qb9Utlo+BdmLImS7IvuWCuBHI9tk2WLZjBMYy2H0q9DecJ1/6s+FKoe2WbuR 3SubhawTNqWX1gp5JeQPSAfZLOgobQ+B/oftqU77/eF/hR5TW8gbyT6gf4j2 7qfsee13zRF+K/QDfSXI18Ofh84GcAB+GvxMYtlrlEW0X4n2O8pf6UyCF8iG F3mMg+AT5L2R/QRdAA7BPeC/155g/I/TXiRbBFVkbP/m3Ndo6q9DvxH6w7Ke 0+vwr0HtAvvMucjnQ5ejPzhr31of+iOwj30Z/hj0m6kutJO2J9LHo8jLMsY2 9P9bbF87izZOoq3y6LdF9xOtWWybLluuM90CeSHyroovoAfA9SKv9d9Qb/kL +iykrQXQbchrIx8ofw/NRzYPWl/gb/ow/EKNOes6tdCvjH5n8OdQZ/nOxN9q t/rQXtN5hv9QPgP96ann8gTju02xAHVqZf1NB8lX5WxLZSMqgz/K2Ves1v4A H8zZdmyTzwN/Kp8Cvx6aBJ6c2FfqzF8gX6rvk7WN3gsuyXjOgH8beg5cTP4P /g3tQcY2GHqrEPshG0rda2PzBymrKPuXs+2QD1sn3w5uCP+K1lfnNee9uQv6 Bnw87Z8F/x40jbZui732WuMWyL9EvwB+I9QG/nbKKjD+7eAO4AfBVcE7dYb5 XuPl08H3Qy8jf4j2djC+Yazpo4x9feqzprIn0N0AnZb1nl0A315nssBn9m7w DMVc2f/OJG0tiB0Lag9fAz829lnUmZiO7rlaE+qfjP4d2q/Ia2c95pvgJ8Te OzrDL2o+sb+1zlgG/o+c6w6h7Df4acl/3xJ6KLHPla/VnJ+K7KPkm+TTnkR+ VDGazgq0G91d0EfIPla8qLMClYYfjfwi9C+EcvDHhD6Ln+Ucm+lMvirfgv5u +FsZXyG6WehncEXtf2T3QdvBQ8ErWdvV0Ejaulx7VrFS6rVXG3PRnQM9q3gL msz3mgRN1nlR/IxuVdlr7Q3ZeHSfhN5CNgbcFd1eicc6HypIbINle39C5xPZ 9sRnQXu+I3wnrQmyAr7JGfDNEvN/KV6g7WXQsYFj/Bnwd0CbwVsCx5JbI/tW xZS6ixyOHTvpTqLYfmPk2Eox/iZkG6E94DcDx95HoW8Cx+B/M79zIvumspTd hWwm9JRsq2w48+uMfGLWd4w98rXI9waOOTvLfkOnF3hOndFvkPjuMZf1+Ib2 W1J/bNbf+CTk7SLfVeQTz0p8R9HdRHc6xSLddMZDxyRdE/tM+coMZUXUD+Sf 4W+WzZXv0B1I8TDjSdHPy6cGjtlWwK/UHgn/s4mMp4LiS+rulw0EfwndLPsj m4XuqsS+R3VKyPah3wbZB9B2+noO2qfYQv4Mfiv0Lvg96Dr0r01te+QDjjC+ tYlti2zOy+i+Au1HdgP4D3QPQVPp6zpwU8038V44wvirw1dLzGtOxzP30orP 0b8R/ZuQXQ/VyNrGHFSsxXhbgd/NOharmngvKib7jr6+Tb1W+obvwr+T+ixp DXdGjnEU2yimCxOfMZ2tg+CZipXyXvsI3F32EP0w62/2Df11SWwbZcM76Xsl rjsH+RfImye2/bKhW7TXYu897ZGPkR2r/Q3/lnwE9ddBt2j90LkFfqLOqOqD P0P3u5z3RnfwXuZyZmRbojNUOnbMo1jnSuj11DkC5QbGUac//V2c+K6iPRwg K079FHyt/B1tv5ZatyT4avgRiuHB/aAp4FHg5fCXQoHyC9AtfP9WijdoK5fa 1yuGKYQvSi0bjM4Q2k90BsGfIk/huzOGTlmXxfJv6AxFt7ViUPBw+ntE8TR0 nmyZ7hjwF0CLEsdsitUKoI2JYwbFCjnozsQ+Sb6oItSM+kPBD8N3hFaBx4BX hraZX2juuuOEPiNbwWN1ZwqdM5kHHq07VugYaY/2P3h16BzKDfTXXfcvxT4a I3M7JfJc7mU9j0P/eH0zcNtCj6UGuE3oMQ1j7k3AHeC/ZE1awbeGOoMXol+k WCq1bVZOp67iJahd6G/QFL4/fXbJuo0G4Pqp60qnsWI7+pgCbg/ug25BZP5+ xjeE8VSSDQMvgc7Vt4K2FnoMWvsz5b9Df4O21D9Z9zn4u6hfDv7E1LGUYr7S 8Cek/vaac3P406ELsm7jFPiTofZZ91kWfgDj61DoNgfqrqecFPxH6NRU/gQ6 L+s1K6+1YgztstapQv+NUsfO8mHVUs/p/+cCVQAPAi+GPwt6O3UOTLmvG0J/ +7dS89oDn8DfwRhmYS9uAs9Q7oSyCfDHM98P4T+A1iIfr/npvpQ6l6UcmnzR WZHryiedDX8wdW5NObN98O+nrjuzyLa1NTqTQ9vYn5D9CL2CbBJln6X2yfLF GsNI7a28bYVyIMNkS/K+++uOP1SxSd53cd3Bf6D+gdRtacxXKPbLOxegO/3J 8BVk85B/h3w48pZ53/WVI7gB/ivqT1R96OvUPkW+RGUZ+IHKGci+QJXgK0LH Zd3mvazfscqp6NvpTgg/AVof2sedoPhRNjC0ze+ROEel3FRx6CjtZ5TPCb0m f6Yek8Yin/I++v2VD4KvozOaOGZRrHIc9GLiO5LuRtWgA8rfgBfCN5RO3j5L vkpjLA4ulvdaqM/fU/tE+cIp4BPz9lHyTTNCx3ptWbPpoWO+UshmM+fXi1x2 OLUPlO+7VXsS3RJ5506VM/0V2UzdUYq8B7Q2ZfJuW2uktfkrdV2t0d2KFdP/ xqI7HPyVyi9xfs4PbauvkU0IbbPfUbyJ/Cdsfy3w9tQ5YeWCx4bOdZ7BmK4L nfN8Fdk05USKXKazU5yyZqHP0G74Xan37rXgF+BfTM1fTVl/6v5Dn03B++hj JrK7oCbIhmg9dbeEGsPXYMxrU8ewil1HUXYM/FHF9Fn3KVu7LfVYZXOPIOtH H7Wp2wR8GmN/MnVuXDnmp1PnZJWLHaM9ifzl1Lln5ZybK38Wue5tlD2ObFPq sY+mbAP8xtT8hZQdUqyX2HZrzP/Ct6SNc7Ke4xTG8lTqvorRXkP5Y9qvD54E /hb9i9A5sdBlisUbIr8ydEyus/MTOo1Cn6GJ6C6XD4b/hz6WKXZTDqvIdepT d2nq3K7eBBbCL5LPDL3GS+AXpx67ygbTXxB5byyiv5+Vm1DOKOs+x+vuJR8J /xdlK1LfMXS30BjqUPee1Lll5ZTnpI6hFTurzv2pcwjKHQwL7VvvS83Lx8qX rkn9beVTFevX1XtG6Jh/NrIbGUNhkct6w3/H+BrA76XN77VXqNMy67LjqPt1 4ruy7rBbqD+ZOr2ofzXyMsgPJ77b6o6vt4UmkWV6Y6gBPyF1Ll4580mpc6zK rQ7UGabuPqi5YsvQvv9W+ZDQMcA4+rolte7vsoE629rzfN8BoW3Lh4nrysaU oL+3E9/ldce/hb5qRdbdwHhS7YXUuX69EUzTfOQTs+6zB22/S/3a8ieUjdd6 QVWY7yU6Q7RXKvLZHq8YXbqUnZl1netlL1PrHmaMY7W3oX5Z24iRsuX0sR9Z H/B11K0WmV+j/KbqU9YX/b76nuiOSs0fpKwXfE/5f+p3p+xL+v8i8dmupzOE rEdqmWKK/uqf9npRtwdll4Ivhi5SWxoPslj5P/hlOtPaS6nH3jt0bDowta5i 1M/o6/PEfZ2AzmjG1y912wdko+HvTG17tGYjFGuAu4C/1R6W7UndtubwJm3t SdxWTcr6KlagzvZCj2mncm2MsSl18+CccnOp39r0ZtMV3ecTy14FvwT/gu48 8NUp2wF/ATp7ChyDy3ftTiyTD3tdeyVx38ohdlHspfOstkPHxuen5hUjD9Jd mLKagd9clAtbnDg2Vk7scsVqeefi9UZwmXJNeb/FKGcvW/BjYl8om6Cz1gSa EvjMyRYXS+3bZZNbxLahsp3TA/u6bbHvhvJ5b+bs8+XrdYdsFNsmyhZODhz7 XwjNDXwH6Bo7ZlasPCdwrFc9deymmE+29mzo9sA2V3vxRmhd4D05Kvae0V5Z rrLYMa5i2wcCx55npI79FYPqbH+QOFbQGdfeG5D6rqE9qL15NbQi8B6dFPvM 6qxuhMbFPiM6G2sDn6Uxqe9KOlNv5Oyj5ZuVQ5kH/1LsXNCBIse+FVPHooqB 5ctOi7028mnKFZeJfZdTznhtzjlM5S715rM65xyccm9DwVtz3tPaywsCxwL9 Ys9dMYH27mXgxYH3sM76VbHXSmd+W85nRmdliXJQsWN8xfYzA+fmioMvC5yj 0949RWsUeA/L9l0fey1kA98Gz9d7R+AcgGL1jtDdgWP2x3OOERQbaI8pNslp TQPHKOtzPkM6O2MoeyxnGyjbN07fIGcfId8wIbBvrUX9mwL72OdytlGyTfqG uhtdHHttdEeSL70zdq5JPlWxzuLYb8+KeXS249h96YxXip1TVy5dc85wfrYn zq0qR6tc5qbEd0/lNGvGtsmyxRpTGPvOrbu25ihfNS92Lk4+65Wc7+C6e+sN +fPId37d9fUGsl3fF/2lgXPAenuoEntt9AZRLHYOU7lLfSPdRa9Qjjf0nXRw 4jcVvaXojVG2aFfiWFg2aTj8UCjNuo5yr3clvjsrB6tcaonYe005Vb3dDFEO I/QbzmXKvTDeJOuyIbFjDsUa2nOv5XyH0t1Jv1nQ2/I5yvcEfmM+EPkNVG+f etNTWz9HfutSm4oNJsc+e4oRNNZhiWN7jVm+cmrq3IR85q6cYyjFTsrxyRfW ib1X5BOHwl8ee693z9q2dk6dW5CNVa7nq8hvU8r5PJ+zz5evl83R29dhvUcE fgPTXXF17N8K6M6ot8gPI7816k1yX+TfdOi3HHoTeyHnmEuxlt50X8o5hlTs qJyucsM9E999lCPW3eDx2LlN3RGUC7sxca5BObE/I7/h6e1uAPRkzndo3Z1l M3W3Piu2rdYdW7mW9rHPtnIu7WmrHVSe/dGVso9pa3/ktz69kS7V/TeyrB46 b8Pvjfx2qjdW5d4PRe5bOfiLFIvk/fauN/le4Jp5v6XrTb6H3g7zfrvUbw56 gmvk/dsDvbn3AZ+ad+5Nb/RLFP9Q1inwGL+B/zbyW7HeJEcy9hFQZ2T90Vmh bxWZH07ZL/C/Rn571BtzY+VjlT+t6jb7wvdJPLde4FXK1aI/SOOlbCKymxO3 pbJlyL+PrKs+j8D/E/m3N3rjjBUfQHtpv432GLJ83rl2/QblEnDDvN9m9QZb lPg3FvpthXL8A5TPyPttVr8pOF/5tbzfypWj7gKO8/7th3KG9RLnIJV71Jtd 68Q5auWmdcZ+4VtfpRg+9G9WhugtL++3ff0m49/Yb9Z6q1bO/GLkDfJ+K9Yb cledbXDVwDnJ9uDKef/WR79B6Qeul/dvI/Qbi77gunn/tkK/meivu1Dev73Q G3QncGHev9WYAF0Irpb3b3P0pj0QfFrev6XQbwS6KVeZdy5UbxbyLVX1Zhva xxTAvx+7LZWtiuxz5WsbaQ7gjpF5zWEt/LrIv31QjmKNbBP1h+nb8j1Ph28W OxeuHPOjys2Dx8o2I/+E9d2vmIizM5GycsjKx3770Rv1MmSPJG5rFPLZ8LMS 7yX1UYBuYey3VL0ZbUG2GdpZ4D7W0V+F2HVVVhe+Xuxct3LGKXw+du5Yb7Jb cs6xKrcqH6tcX7fYsZRyfk/nnGNUblEx1yb4BrHHHiJfw1qsjvxbJMWQ3RRb 6k5caJ/TMbXNlK1UzLyB+tWVLwm8Bq/KFyZeG5X9Cv9L4rZvBT8jf43+fO03 3ZHgB8Z+u9YbcEl0S0DzOS/N0Nkm/xr5txL6zccC6m+OLHsCnVLUPTb2bwH0 m7djqVsqsawlOg+hvyMyrzP4ku7/kX8Lot9gLFJsEflsygY8LlsX+bcl+s3F ebTdOfbbsd5QnkK/C3gW+uMYf1XdvXT/KXTZFco1xH6b15t8S8V2qef6EPI6 8LVT19UaPEt7g2LLtMY9dReK/RauN+sn5Ktjr10L5KWoWzI1P4OyzcjbxOY1 htbKRcR+69EbzmDmcnrev73Sb3hW5vyGq7db+az/A5CPBxc= "]]}]}, { EdgeForm[], RGBColor[1., 0.713706, 0.756905], GraphicsGroup[{ Polygon[CompressedData[" 1:eJxNnXXYFUUbxl8/u7tb4Zx39+yes/tiByZiF3ZhIwYq2NjdhY2dKGIXKoqo GKio2FioqKjYWBjf8+O+93r5Y67pmZ179uwz8zz3zFl+70O37fe/tra2O+du a5sx/CvytrZLi7a2Axttbe93bWt7PNwT4RZqtrV162hrmytta3sr4g+HeyRc PeKPhf9OuHe7Kjw83Gfhng33XLj3nEZbE8KNct74cE+GGxHuA/dD/KNwT4V7 mnaj/bfDjYxwkqrup+E+dD3Kfe5+ng/3fbix4V4P92W4F8K9GG5iuNGOf+W0 l8JNCvdyuDHh1k4U/jrcF26POt84/5Vw34V7Ndxr4Sbbp79vnU/eD+7/DXCI Z54Q7s0I/xxuXFfhl6fC7Ndwvxk7cFqs1tb2Z/h/hWulGuu/4f7oqvkApz/t j3e58cZjqn3w655oHLNEe+9FO++G+zjiM9eECxi01TQfzNV/xpX4/2rCFAxm rMkHv5lq8qk/a03tg99sNfngtFCEp3hMc9aEFzjNURNGxOeqKY25+t3jZmxz 15QGfrPX1B51voxnnxjuxwjPF+k/GcsFa8KP/hauqU/aW7QmvMBpkZrSiHdL VX4BP2P1zv4S8bfCvR1u8ZowBcuVU2G/VKQtXVMYnJavCSOwWcE+2CwXbgbn LVNTWTBetiafvBVdlnmo14QdY+1a01yBa1ITXuC3XqL0LuHaXZa8mstSP3VZ cG3YB8sf4/l/CDdPhFdPNe4iXDPcvDVhWdaUDpbdapo/sOxwGvGVnAaWK9sH 41Xs887+Gu3/Em6JCK/qNLBcMxV+a4RbyziCzZq1TlzXdtqyxugz/6bXMabg va598F7PPlj2MBZguZF9cNrQmJK3YSL81g+3gbEkr6fLgvfm4XJjs4kxBcut jBk4beyy5K2TKn1L3pcI/xkui/DWLgt+29gH123tg+V2xhH8ejmN+PZOA7/1 UmG2U7h/I/xPuNUivLOxBL9d7IPrrvbBcvdw3WvCbzenEd/DaWDZMxEee4br 7TRw/Sb6mRTu766qs6znYK/p8NvH+IL9/sYRbHqkwuPgcDOF/Jgx3KYRni38 WcPtEOE+LgvGPVON76hw+3n+aOsQ4wr2hxlH8Dsw3Gaeq/7GDiwH2Ae/w12W vH5ugzk52liC38kez97hjjN24HSsMSU+0GlgeVe488KdH+54p4HlKW4DPI5x 29TfNBGuJ4Y71fn7hjvB9cD7dI8Z/E7yPPBMp7kseYf62Rn/GS4LfvMElnOH OyDCF3vM/f2MBxu/8+2DwQX2ae9C++C6Wary54a7yGm0dZWxAJsFop/5wx0R 4UvcD3hf7nkD1yvsg8GV9ql/tdsAy8HGDgwWi/YWDXdmhK8zTmBwk/ECgxs8 T2B8dri+nv/rXZa8LRLVvTbcjS5L/ZvdBhjfYh/8bg93ltu70+MGs21ShYeE u8bPy7MONY7gd7d98BtmH8zGh3sy3IhwDxkX8LjH+czPvfbBb6kY95LhLo1w r+j3svAfcBvXeXwP1pROW094fOQ9YnyZn4fdD/HHjDXPPtw+eG+dqO7jfr7r jetT9sHsZY+T8T1j7MBspOeD+ArxvMuHuzXCO6d63tfDPRfuNuP6tNujzo6p sBwd7gXjCt4v1fRbor8x7hMsXzVe4PSK04i/6HrUedTjZpz85vgO8Q2qxXN1 DXdfTb8bvkl8R3olGvd74cZ5bsDsLftg+bZ92n7HPlhm0V4j3KgIv+s0cP3E uIDTB54b5u19Y0z8Q2MNxh/ZB5uP7VP/s3DPGr/dU+H0RbgfjOsb4b7y+MHs S+NI/GunMW9v+l1hbJOcBq4Tp8P+G6eB67f2wbt3qr6+D/ej+6S9n40XOP3k NOJF4NEK95rLPuC+H3Cctn41pmC5QyLsfwv3t7EAg989J2D2h32w/NM+v6e/ 7IPlLHVhwbinOo22Zq4LF/JWiedaOdynEf7H/TBX+6TC9X9Rdsa6wmAzU10+ 9dsiPMFzMmtd/YDlgnWNZ0q4NaLt1cN9F+HZ68IULPdLhd9ckTZPXfMHlnPX lU58trrao868deWD6/x1Yc3ac4G6fPqbr6588nZOhN9CkbZwXWHwW6QuH/wW rcsHv8Xrwg6c1orw0uGWCbeCx8+4l6xrPsBp3RjTOuH+rancf8ajbyrMlgvX qGt8jGn5eieWB6VKT8N1qWs+mKsV3Q/xWl2YgkHdPvhtGH1uEG6OCGduG/xy ++C0arjF6hpTURde4NSqCyPipdOYqyXqGjdj2y0RZh3hmm6POt3qnViuZB8s V6kLR/pbzX3S3qbxjJuEWyrCqzsN/FZ2varOn35np/jd55txaCr8uodb19gx D+vZB6cexghstox+tgjXDj7hujpvfZcF4w3sk3d4Kuw3Dre5sWOsm3rOwHVL 4wV+m3iuyNvCZcnbzGWpv5XLgmvvRPhtHW4bYwl+vYwdGGzrNOLbOQ0sd/D8 geX2TiO+o9PAcrsYa69wa0R4l3Br1vXO7m7M1gl3ZKrwbuH2cBpY7mkcwaa3 04jv5bQNjBHvI+/fPsYUvHeKPncMt1GEj06F3/7hDjQWYHmQfXDqa0zJ62O8 wfIA++Qd7LLgfZjxApu9E+HXL1x/YwdOh7gseB/usuQdOh3eA1wW/I6wD65H 2gfLY8LtbPz2iDHtHm6nCA9Mhdlx4Y43puA30FgSP8Fp4HeifXA9yT5YnsIY jN/JTiO+d/SzV7h9I3yG8QObE1KFT/dc8f7z3p/pfDA7yz64nm0f7C8yduBx rucAXM+zD2b7JcLy/HAXGFcwu9pjZXwXOo22TkmVflW4SzwH4Hqx+yE+yPiC 6wExpj7hjorwFbwfxvgatw2Wg+2D3+0eD+O43tiB03XGlPgNTgPLV8PdE+5e xhT9HBTu1Ahf6/aoc1oq/G4Od4uxBOPbjCP93eE+zwl3p/ECpyFOI36r61Hn Uo+bcb7m/u9jvImwvCvc3cb0Qj/jRcapfzzj4eEui/BD4S43Nve73UFu72Jj fJ998s5Khf0j4R43doz1Mc8ZuD5pvMDvUc8VeU+4LHnDXZb6w/yMPN8I1wPj c1JhNjLcaGMEHs9Mh+Uo+2DzrH1wfc4+8/m8feq/4DbA+KjA4MhwN0b4JWM2 NNxBicIvhnvZaWD5ip8VLMc4bZjzq/d3i1R7KNb6Y40duLa1x5ok/M/Cvefx g9+b4R70PFyQCte3wr1tjMHvHftgPMFjZqzvOo22PjUu5H1grJmH990P8ZNj rCeFewqsU+H6cbhPjPEzfr5njd/n9sFvcl3vGWPqlwibL8NN9NyA61fGDCx/ 9Rh49q+dBpZfuD3qTHIaWH5jH4y/q+t3RX9nxvOeEe71CA9Khc3P4X4M94bx +9b1qDPe4+Y9Oj7qDQz3QIR/mQ5Xfk98n/ge/TMdBr97bsDsD/tg+ad92j43 2jsn3IcRnrldGDDuy1O183e4wxOlzxT5/3lumLd/3Q/xGdqFNRj/r10+2MzY Lh9cZ2lX2+A3a7t8MFuwXfhOCTdHu8YPZrO3C0fic7YrjXn7ze8KY7s4nv2i cN9HeLZ2tUedeSL8g3G9OhXG80XaAu3Cjv4WaleftLdIu/ACp4XblUZ8/nbV /cXP9477RsYgw5HZi7arHrgOToXZEpG2dLswArPl24ULeCzbrt8PmCXtGjPj W8b4kndNjOnqcHNFeKl2zSttHZFoHlYI17VdmILlcm6PPurtwgL82u3TR81l yVuxXe0w51m4uduF2fXR53XhFotw0a7xg1mrXfgRL53GvPUOt2649cJ1OA1c b0qFwWrhbkhVtxlupXbhC96rt6vMkuG6uR55a3rM4Leyy4LxGi5LXhc/O+Nf y2XBb237YNzDYwaPoxNhVj3rCsZgffu0t4F9cF3HmDJvGzqNtrY0FmDT0/gy hxu5H+KbhmsY19tSjXvzcFsYA+pv5TbAchtjBwa7ejyMo5fxAoOdjBcY3JEK 1x3CdfdYedYhMW93hFslwtu6Perv6Hmg/s5uA4x3sU9/u7lP2jsuEU57hNvd aeCxtZ+XZ93TOILfXvbBb2/7YPZgPOcR4V8abmgqDA4Mt4/zmZ997YPffvbB 9Z4Yx7BwG0f4gfDvD7ddhA8It4kxPtzjBKeDjS/zc9B0ePcz1jz7ofbB+zD7 1B+WCkue9UjjCmYneZyM7xhjB2ZHez6IH+s05u2xeMZHw+0Phk4D16PcHnUG Og1cT0iE8fHhTmzXb4n+TnafYHmq8QKnU5xG/ATPD3UO8bgZ563R/y3h0gif 5nrgele488KdH+5CYwEG53hOwOxc+we77MFu+3z7YHmlsWDcFziNtq4wLuQ9 Gf0/Ea5/hC9yP8zVoOkwvsw+2Fxun/pXuW3wu9o+mN0a7oxwZ4a71uMHs8HG j/h1TmPe7k81rrPDXe80cD05Uflrwt3gNHC90T54j4pnfybc6RF+NFUbt4cb YrzA6Q63Tfwm1zvNz9enXe/p3FH3iuhvmXB3uh64XhbxQeGWCjc6+nk+3MWR /qBxAY/72/W7AbMnPGbGNzxV+n3g7DTGN8zzCt4PuQ3m5FFjCpYPuD36GG4M wO9x+/RxWqL0x8I97DaY8xHuB8xebNd4eKdeiWcfE+7mCD9tHMFjVLhbPG8/ hXsz3DjaSYXlc+FechtDwz3ltqk/2viC98vOvzvc854H8l6PPseGuyfCL7gs zzTGZcHjET874386FWavhRtr/MD4XY91uJ/xQeM3zj4YvGWf9t62D65vGFPq nJmonXdw8VxvhxsZ4feNL3P4nvshPt7zB64f2geDj+yD5afhnjGWnxszMJg8 3TgmGi8wmGS8wOArzxMYv+6x8qxfuix5X7g96n/tstT/AF5FuFfIT9XXd+G+ d5+096PHD2Y/OI34s6me87NwPxtH8PvFPvidkwinX8OtyHom3Mzh/jIu4DHF WDI/v9kHv9/tg+sf9j9oVxsTPb4/nUZbMyYaJ3mfxpg+CfdxhKe6H/B+KdXz tkXZGRKFwft/iXzq83xfGtdZEvlgNn+icTK+MalwmoM+o5/Pw30T8TkTpTNv iyQaA88+V6I0cJ01UXvM4dyJ0sB1nkQ+eM+X6LdEf+cnwm8B9IiJ8AKnBZ1O fN5E9ajzb7hP/E7xe+Kbzvd74UT1eKa7ncZ3ZDljAQaLe27A7JsY06Rwf7fr +/WP2x6bCj++dUkiDBj3skknrm+kSm9nLZZobpi35d0P8S5+F8C4q32w+T76 nBxutginbhv8GvbBbOVE+C4arplo/GCWJ8KReMtpzNtiid4VxnZRIiyLcJnb o07pdHDtsA/eKyXCjv5WcZ+092s84y/hlojwqk4Dv26ut7DL/uH3dJ7A5Erj NC+6iETYY4vGhom9eP5Iv8aY3RDu+nA1niXSrzVmQ8Ld4fEtEOmDE/22lkZe eFzzRfhq471IhG/0XCwe4VuM5UIRvs7YLxnh24zfUny3jesSEb7VOC0a4Zs8 58tE+E5jtnoiDhH8q+Uj/W5jtlyEhxqPFSI8zPP2pDlCcIZWjPR7jGt7Kv7W 25G+bPh3eR7uD3dfuNUS8bneNVemS5S519g/bs4O3J2HzWmC2zTcadRZDJ2M 36kn3D91RpinxDOlqXhdn5hv9YW5H8+alzTBnKrvzAUa5bRPu3ZysMiDIwbv Cc7YaPOVaGvNRFwnuF7PuW3aHWO+ErylV9w28ZedBrdprDlKk7t28q4qHtYf 5hqtkYiLVI2fMPykZiqO1y8RLlJxuf7pKr7aRx4/vDC4TvDEXjfv6XtjDT/p 166dHC/6hsM1dbr6U533np+l4pH95vrs5/623uJTc5f+9fjh2cBJggcE5wXu C2OGUwTfCJzgMVGu4oERr3hgxOGBwWMizpjnc3trJUoHd3hbcJF+ML7wlyq+ GD79MX/wl+A1gTX8JeJgQV3i6yRqH3xXSsXlmr+m8cAhgkvEuOEpVRw0fDhM YANnaeFaJ2cLLhFzCH+JPLCmLFwosIa/RB74wmMivkoqTtiSNWEJZ2lpYwRH puJ54ZMHj4a6U/1+MT7GDwfxS7+j//OzUJ/3us1tM354RonnA75SF+NVcxz8 6o7TbrvjjBuuUYcxTZy3oNPgJ8ELg99U4dtwf+sneh/Aeo1UvLGWcaFeYRxX ch8VJ2ylWidPC44RXDB4TBV2hOE2rZWKE7Y6ZRNxuGb2/MFlWqPWyS1b2fiu 5TwwXdvx5dxP91onJ2xdYwQ3YBpXKVH6ip6T7q4/k9OoBw/0K88HmG7o+mDa w3Fwga8Eb2ndVNyvLWr6zcBFgpMEP2t7jxMu2CbGdP1UXK4dPQ+00dM4wk3a stbJD4Pn0yNRm02PH15TL+OxveMrOW1b4wXvaCc/K1yjih+Bv5fHDWep4oLh 72r89nAePCC4MPBgNk/FDTqn1sktq7hmu7g/sO7t+uC0r/tmbPCUKj7Xfs5b 388Cz2mjRHWZG96prY1FxVviOSr+HHnwyPp4DhgzHCW4Shul4pwdZBwP8Tho q5/j1D/U8Y0TcYg2d9uHOY8xwVc6ptbJJ6v4Zf3d38ap+GpHGmv4TkcZi2Mc B6fj3BaYwiEaaDzgH8FD2iQRB6q38YKvdIqxgdMEt4n3iefsa7xIO9FYn+B2 93a9k43vaW5rP/dDHI4Y/YLdZol4T1W7hM/yuzDQz72xy/K8l0XdQeH+qndy yJibimP0mPGD4wQXastU9oxBxgyuE5ynzRNxkU4wjhe7DuOB03RtrZOXdoEx hfd0mXGE8wPHCQ7aJZ6bgX6Oq43FYMePc9pVxux698E7DY8IHtK2qfhedxgj +E0V7wz/xlonb4y8ilfaw88NL2mYsadsxVO7wf3Ba7vF8817fJf7rjhkFads qPO2TMSfquaDMJyqilcHFlslwpxxVhy7K2qd3LJ7jFfFx2H8cJkecTn4Tg/5 eeEgPeV2H3Idxj3Sedul4qXdbywfc1vME/ymx93/I26XMcN3erLWyS0bYdyf dB1wfMZ9gB0cpIr/hQ9vaadUvLHnI7xNIm7U7Z4zeEzwmZBhPT0fcOgY+yXG i/JwquCpPeP5A/cXXR+MXnXfu6TisY2tiTv2qnEc6mepeGovuX7F+eN5L8xi LjPpXMEOftQbtU5u2TiPGS7T+7VOntlbtU6e2dvG9V3Ht00UZo63S8RFes5Y 08Z7HhvpE4wvPKiKezje/VU8s4+M9SeOw2X7xHNQ8dKov0cq/tnnHgPcpB88 ZnhVFe8Mf6Lx+Np5zBucpop3Nsl5o132i1on54xye6binE2uiStGP3Ck4JR9 67kBy5/8HOAFJ+pn4/Wr4+A1xXFwgQcFLwoODlwcODlwwf7x+Ctu2R+1Tm7Z nx7/VMfB42/HGQOcEbgjYPeP8xgzafCadkzEk6rmg/B/HjPcKDhSFc+MOPhR jzg4wYOiD3CBD0V8p0Q8pinGBU4U/Kr9U/HM5qwLM/hR5FX8ud+NFxwn8uCp 0ea3xhLeE3ngCGeKONjRF9wpsIMHBS+q4pNV/DJ88iqOGvW3T/SMvK+v2H6I TRAc4U0xB+AFTwq+FPwywuAILvBBljMuKzh+YCrO2bLGES4a3LVdEoXbjN2K rlPxyWqeJ7g+8KIOTsVLSzxPXVwHrhnlZzfuNdcBX/hQqTHNHK+4aJnxgidV 8ciazgOLwnm7JuJMVZiWzgNT+FEd9U7OWTfju7Lj4AU3quKgreI8sFzNeXDQ 4ExVmK7uPDCCMwV3at9UfMcZInxYKv7Z2sYaLk53Y72u44wf++oGxqOH4xXP bP16J19tXeO4vuPw1Hp4DsAIbtSmxhFO1MbGCU4UPKr+qfhqPY3d5q7TcL1N jOOWrgN2Wzm+R6JwaezgSlV8NPytjWMv54EfXKmKj7ad88BxB+eB3Y6Ow0Hb 0ZjumYhLVWFKGH7VUam4aLsaO3hTFU8NH04V344lPG+7J2pjGWPX23XADw4V /Co4aPsYdzCAB3WAsYMrtb/HA08JLtMxqfhq+3k8/Z3HnNHO3sb0QLcFdnCm Dq538tX6GC/4Uf2M32GO75Wo/Fb1Tg7cgcZvgPtjDPCUpnHKGuJMVTgSPsJ4 wZmCOwX3CF4NPJt9EqXvUu/knJ1Q7+S3DTCO8KyOq3dy0Sh3fCpO27EeJ1yq k4398a6zl9Oos4XHzRjgqZ1ijE5MxVE7LcL7JuJMHVLv5KWdWe/kpZ3l8Z/j OG2d63gflz2j3slRO9fjgA91qTGFp1Tx1PDP95zBlbrImF7i+ADXIw4HbZAx 3T8R3wrs4Ivd4PGDETypq4wRPKlr650cNfhS+/sZTzdG17jOqam4cVd6Dq51 HbC73m2B5Q2On56Kl3aT22M+K24a/s2eb57zcmN3u+ce7O5wHOyGOA5fCX7N W8YCntQw43iny/VJFD7P2MGdustY3u0443/U7V3oNsg7OxX/7OF6Jy+t4qnd 6/7gtd3vOeO54VXBr+qbKHyF8XrMfYDfcMcr3tizxgseUcVZw3/c2I1wHs8N rwnOEzyyEcZ3sMvS7rmpeGxPG1M4ViPrnXy1UfVOjtpzxgguVcV3G+28iutG fd6p+z1+vt38rvj9HZioLvjyved3tZfHD0/qDWOJjB9jvF51HPxec5x2xzrO uOE+wYWCSzXWfT/uNDhFF6biro2L8MGJ+nqo3slde9v4vuv4cNd71ziOdx9w 08YbXzCF+/SlxwxnquKp4X9sPCY4726P6WXj+pnzLk7Fdfuo3slp+8yYfuH4 IYn4Vi94Pr923xUvreKpTXIeczLR9Yc6j3rsvcZ5zQuO8K9YS8Ffm2xMGT+8 qF89H/Ct4F0dmigMdpel4rr9VNdvCS7Vzx43nKZ/jOmvzvvYaX8bV3hYFefr N/dX8djgXcFf+9O4X5GKuza13sl7+92Y/uf+GAN8KHhRFV+t4q/hw7+quGvk MWdwjeBLHZYofaLng7L/GV+4SJQDVzhWcK3Am36IV7w3yoElnC+eA/4a4cnG Dh4WfKz+icI/Gi+4V/Co4FjBwYGLg/4DbtSfxo88uFlgtJDLghm8KuJgAZ9q YY8NfhPcIXCinUWMBWnLWjePjh6e1rWp+G2LtwtHOFdLefxwrpY2dtQjPiBR +zMaO3hW8K5uTMUJy40RvKqKy4bfxXjVncc7wZjmb+/ktNWNdRe3C46J8+DN EQbTIxPxsOYxdnCvmsYI/CqOW+E8cKc8/K1rUnEH523Xt2OyfwPg2M1zAF7w s+BZwZsjvKhxgVu1hnFZy/ElnQYX6+ZUPLlVjS9pq7V38tjWMl7wrNb1nMDD 6t7eyVdb33h3d52K00adoxKVX964bug6YNrDcXDcyHF4Qz2nw7Gn88ACvhW8 q9tTcdo2i/AxidIzYwrfanPjuKXj4LqV4+AF56rikW3tPLDc1nnw13pNh2kv 5w1JxXvbvl3fhqWMJZjBq9rRuO7seMVvm8bRSsS3Wsc4wpnaw5iRvpux3tV1 1nbarsZxT9ep+Gr7tHdy3eBpwVPbz3hVfLg92zs5bfsa631cBxzhB8ETGpgo DI53p9LZ9DV28K8qLhv+gcbxEOdVnLaK49bPeRW/7VBjd7jjcOgON6Zw3OBf wce6JxUHboBxPMp5YAefq+K7He28hT033YzXsS4HXsc5Dn4DHWfc8KNOMe5w tY43pic6Dl4nOQ5+JztecdHONXanOK/iq8G/gnN32nRYn+b+TkzExwLfB1Jx ws4yjtQ7u72T33ae8bvAccYAbwj+EFy2i6bDkTAciYdScRwvaRd3Cd7OCGMK z+pSz8GFbrfivQ1q7+S9XWbs6OeK9k7e21XGCF4WfKyTEqUP9Dxc4fq8Q4wR bhzcqaf9HGB6reuDI9yt69o7uW487ymJ+FnUfywV1+02t0X6LcbxJteBE3eT 8QU7eFi3Gy84JXd5TuBhDfG44WHdbbyHuM4FThtq3O9ynZP9XDwrnLhhxhoc 4S/dZ1zgXj1iHB9wHjg+6Di4POQ4OD3s+JWuR/zURO2A6eOpeHX3tnfy4Sp+ HP5jxvIJ513vea74d08670THKcuelT0D6334cU8bR3hS8Hm+95jhYcHHOj0R zwvcn0rFk3vW+MLRes7YjXaccb7h9oa4jdHGgrSxxhc+V8Wze8n9wZsb47kZ mYob96rxpd5rxu5N91Hx4YhXHDW4U2ck4nNV80H4LeMFX+sdPzccqs+M5XvO q3h144zp+84Dxw8cr7hx8Ljg09EvOJ6ViMcEXvDjCH/ieRjv+rxfYzz+W6Yr +1wqjtqECB+f6PeEDBidiuv2rbGE6zXReH3lOPh97TjtTnL87ET8L8YPb26S +654bz8bV+a84u7hf2d8f/Q7Ab4/OT7O9X4yjvC5fm3v5MNNMabwquBXMWb4 RBUnDv934/GX80Z7TF8Y16nOq3h1tAs/bqrnGEzhdsHxejkVT+6/9k5uHH3T HhyuimeHT965ieoyN8+7z8+NI/wu6lRcOuLgCM+LOLjA74IrBhbwtuBigR+8 rLnMn4JHBf8KLEmjDuOEc0XeK6k4ebMnwhHeF22BIzwueF0Vx452GT/8LHha 4EHbxMGaNOowJ3DHaAvs4HYt5vHAt4KjdUEiblyFHeElw72eiie3NHynRLZ/ bPzMH/yvZYxFF7cFz472pxpveFvLJZ3cuC6eg+Vc/81UHLu652MF14E3R3nw PS/R8/Negi+8rXZjlzpecd1K4w7/KzN2TccZf8vxCx2e3zhStmF8aQPu2QOJ OGHwwcAULljFievm/pgzOF8rG9NVHYdPRxgsHkzEZ4LLlKE7ScSfWi0VpvA1 OvieJ+L4PJ7onin4KY8muj8LDlHFHWTMH0X5R5z3sOvBt/gkVR3qP5aI3wO3 Z7j7gRMyOVUf3IH0RCJuCryUEU6D6/GQnxF+V3e+t57731OV4+6fkfbhILyb SKeMPvmZRJwA+ABPJeJewLugDTgK8BM2jHZGOT5DQ21xd87CER6d6A6SZ52G rX7rKP9iIrv3pnz3Etn8R9nH7k897ojBBv5cIts8dvnnXQ9b+UtuG7vrC4ns xNiIX01kI8Q+uGxD5bjnYwd+j4lsxa84Dfvh64nsVdiqXk5kW8Wu+qLLYlOm HjZI7I+7RTuvOT420T0a2NlIw/aD3adbQ3nc8bA3vwvnJQ31TZ05G8KFcS7i 94738k3Xw+50bJT5ItEZyp7wuhOd3V+7oXLcf/C2fWwp4xLZhLAHvZXI7oLN 5YNE+mt01/1SzTF57yfS6aOLfyeRXh6d/HvuBxvCEanq805s01AeZ9/H20df fhw6Ifexa0N5nO0+NMITEp2jJR+dMvrkDxPpu9F1nxx1P3XeAameG1vffnCl E51p/tjtoSee4DT0nZ8k0v+i+z0TO20inegX7hOdImno8tDjfZZId4ne8lOX RXf6hvvEbnd+tPOl63xl7NGfMd+veX4nJdLFoIehLDov9F2XpsojflpD9Tnf +Y19dDk/JjpHx97660S6KvRUV6LXct4FDdXh7ONV0eZ37u/bRHoZdDKkoeNA v3F9lPnB8e8T6R2mnUFMtA9nDz4l0ZqD9cYvic6ksR+9qaFnIv5Ton01e+o/ 0Aul4u/+nGgfyx721lRx2r0rVbvkDW2oXc5v/Zpob8m+8r4o84f7/jPRuSP2 Fg9H+d8c/8312J9N9rhnsuzirAry6/dEeyr2U4+gY0u0L/k70bka1ssvNRTn HMl/9lkPPhnl/0207v4r0d6DfcdUp7EO/yfROpg18P9Snalg7TMKm2Gq9SY+ 6y3WWrRHGuvPtlTrQtZ54xrqm/pPNzRmnu/FKDOT68+c6hwCa4FZUsls5PWM qdYurFsoi7xEVr4W4Vkd/6qh+nDwZ7OPrCMfWYgc/KihMdDHTw2Vg2P+Vvhz uNycTkM+knZJIjk6e4QvToT9H8aYdeqcWQzT3zXyL3MZZA6yAbnAugHuN7Kf 9QTnj1hvsD640mmsF65yGuuDq52G3IbX3XD9a5xPHH44spJ1BPzwLnbwz+mT NQR8ctYerCFuchp1bnYa64bb3A/rhtudBocbLjcynvXCncYEPIYYE9YHdzkf OY28hgfN2mGo8yl3h9vmOw7nnHy+68OcRh/ww1lX1FLxyOn/L76ZqWQ16xTW GawxKHeP24Bzf70x4DdxeaLfBbKddcM0LnEimwH2AtYIrElY47FmYQ3B+oH1 BWsI1g//RL+fTreGwGetgixHHiOLWXewtmBdgfxnTcB6gPUC6wfWGP9xBtrr CdYWrA9YG8wQ78wfaeeaAJ81xoyR/r/p5B8+awPkLbIWOTtzlJnLawjWBch+ 5D4ynzTWBqyNWCOxpmKNwDqANQBrFtYN07iMiWQ5cnzWaHMRrwlYLyDvkfWz R/pyls3If9YQrB+Q06SxTmC9QD3WG1ORTV6fsfdh38j+D7nN74P1QO9MfJ5p XJUIr2SZPW+Eu1uWs+5AZiOvF4z0bS07keeUZQ2A3CMNOcsaAlmFnEI+0wZy f/6ou7FlM3IMGYrcR54j45HvyG/kOGsA5DZlke+sF5D9yH3WAshm5DKyEdmJ 3KxkMPJ34ehrN8tmZDgyGPmLfEPeISuR5chXZOviUf4wr2NYH7AOmGZTTiTL kePIWPKR14tG+f29bkAGI1+Rrch55DeyGxk+0e856xjWM6xXl4y6x1nu8jtA viJbkSfIU+Qv8hUZU9lTkKPIUOQP8guZiExG1iJnkYfIM2TZ0tH+6ZbNyGFk LXIW2YkMRaYvG2UutCxHRiIrkZsrRvrNlpHIZ2QtchbZiQxFLiOvkF/IsiTK j7Q8Q3byLeY7jFxFFiIH61HmEcsY5A1yB3nH+oN1COuTSr4iW7tG+bstd5FJ 1EMWIw+Rf8i+RpR52TIM2YicQ8YhB5CXyErkMHIUGco5M/Z26B2Qn8hC5GAe 7bxlObR6pnM0nNtAviHzkHfIJ/KRs8hP5B+yDxmJ/EP2taLux5Z5yJO5vIdF 7pGGDGWNgjzju11G+a8t85CXyEVkIjIW2YbMQv4h8/hmd4vyP3utg4zi3Cxy ChnF+SjkFPKHszrIE+QbZ6IqGcW5JuQUsoizT8gjZMjSfh7kFWelkFfIOs5Z Ie/4lnPeie85smth752RV5xrQmYhDzkfhQxEXnEmqpJjnINCliHrOE+FvEOe M27WA6wFWf+x9kMucYYK2VStY1jD0GdX94u84nwUMgt5xbkpZBbyh7NSyCBk F+ejkEurZTqb9ExXyU/OPiHfGqnSOa+0SpRZ2XO/UiaZh7wjnbNVj3ZVO6tm OuO0pn3O4qyR6b3hjNDa9jmDskGmMyach1gn07khzrislak+8TLVmSLOEyGf ObuFjKZM4Wejfc4gcbare6Y+ODOznn3Oc6ybqQ/6WzXV+RbOtqyfqRxnPyiz ivuiHc7ecKaJ9QJn0lgzLB/pV3md3cP1CrfDGRLO6WyY6ewH7W8c4Z6ZzkVs kuk8xbT7XjNx7OGAb5SpLfI2ScW/h3u/dqp2OD+ymduAj79pprY4D0Bdzmm0 nM45Ac5rbJ6pDn1s4bIHO532OaOxbSaOOGcfts/EFYeDvHWm54PjvmWmMxKc O+jlNPjXB2XiucHhOiDCfRzfJtN5Cnjo1N3C8a1S8ebhzG+XqS2419un4mHD wd7RaQ/42bbxM/E8WxqTDVKdM+H5B6Ti28G1A+f1jdUOmcYDx3r3TLxf+Ko7 ZeoDPvSu9uHn7pqKJz3WZXbx89AOXG3487tQ3m3tlYl/CMdzt0xtsT6gDDxj eN17peIBwwGmzJ5uf49Mz0R9wnAZ4STvk4n7Ck9z30z8Tniwe2bixdIO6ZSD 97lfJh4pnMedPVb4yHtnej7y+qSqSzukwz2FM9nHbcBhPCRVX/BI98/ULnxK wnAr4an2dVp3P09vPyvzuF01p4n0L+heeB/6u80rU3Ep4FEckolbCPft2FQ8 Pzh+B2d6n+D8HZaJu0b6gZn4iHA7+/N+ZeJykd7XbVH3GL8D/TLx5+AuHur2 4IUNyMSFg8N1Uqr24cXR16HOO9Jtw7EamImbBKfmGNpx/IxU/DC4YaTBE4O7 dERm3lhdv32+a5z7Oi4TB+hhlxngOowFXhocv6My9Q1/67xUvCg4UdQ9NhN/ iGc41/1SHr4XfLZjXe8Rjx184Q6enAlzuD2HO23a/XiZxgbvh/DF7ovyJ2Xi u5ySiWMDT+SsTDwNOAUngpPzrkvF4YC/cUmqdujrNLcB1+PUTG3Be6Au3J1x TocPAYfn9Ex16OMMl4VbQfq1fmfOzcQVgOPBWQQ4A9ixz870fPAezszEBYFf cZ7T4D/09DxwbuwkjxtO0DmZeCNwDah7huO3pOJSwKM4P1NbcAXuTMUbgDNw kdOwe/Ns5/iZeJ6bjckJnjc4SjwHtvAd3OYQt39JJhs9NuQTQ54slekuL3Q4 yBjkC7oj1qmsUS+N8HKZ7nFCv8TalHXptRFeIdM9LfdFuJbp3hh0OKxTWaOi n2G9yFoRPQZrTdaLj0e4PdP9JGdHeJlM91+h72L9zdobPQzrV9aun0W4yHRm /7UIZ5nupkAvwVqN9cp3Ee7IdG79uQinme70YO3AWoF1AusFwqwl0LGwTmWN enuEu2S6q+e3htYZrDEoR33OZ6PLYp3HGg/dCGtT1p3wls7xGS6+hXwT+Q7z fwpfp/pfgH8j/yeH+b+An1PdY8/975xf5ewqd/pznpOznH+z/0j1Xwz4XzpM Gz+6HdYL36ZaM1CHdpaw/43DbfEsU90X/l8O4/+d6t549ve/pdpzs7dmrz1N jx/+f6nkGmuBKanWFTwj/0PAPfmrOk6YdjmTyXlMzlByVpO76Lkvjjlmfldz OvU2cflN7f/lMPV/8HOip2Ltzhr9iAgvkenuOOQ68n3auiKVvJ+Wlmr9wNqG fNJZP/R0OnKcOWVNyJqNNSNrR9afq0X782S6pxc9OXts9sasJSnHmXjWpJRP 3N7WbrOHn+cgr5dY67BOQIYjy3kvWBcQRqaz1mA9gKxnncF6g3XLZg6zLmLd QfuMifXXZm6T9RfrLdZa6PDRC7DPZ21Fv4y1p8uzZmNdRnme8b0o38x0f0gz wnNlus95/QjPl+kOXuwd6DjQU2CLQf/Ce4GtBx0N+hnsMuhW0KFgY0KXgR5j vvBnyXTnPO/X/zLNKTYI9vDsz/nPm8Uy3XWJ/QI9DrqbWSI8U6b79vl98O7y DnyR6vfA+8/vid8S7/+e4S+S6R7RzSO8QKZ7brEvoMtAN4HtAF3ANH1/Q3oH dA7YF9CVoBPZIcILZbrTFVsY+ix0WNhf0Feii1mCvWCmu9m7RHiOTPeWY4tB 74N+h/ncyXP6g3+nPD96su9S6dLQzaGjQ9/2se8a+Mh3DBDme4Ae7sNUOjbS 3nM6+KIvQnf4ear/vOH/bt70HQfcb8Bzo4tDp/WD03+0/5nDvMPvp3rn2cd8 kGovczPyK5ON/ArkaSY+DT68I/gyF2fiWiGPHk7FH4I7dFmmMPyrKzNxiuC8 XJqJtwQfjP6/8DNwjwT/OQQGN2biLrzqdga5/i2Z+AzfuZ1L/BwfuT51b81U Dhs5a6t9Glq/TbMTNaRDgs/PPbDcKco5Be7V5T5YziJyvpE77U9x3qm2DaE7 Ql/FXbW8r7yr8Nf7OHyUw5wd2Nd1OftwqdvkvCT/v8B7wztzeybbOdwDnhm7 PjwNMIeXAJfjDo8Dm/Ztngfs6q+mKg8HgHbIwwY/JJO9nHR0GaShcxhpfLij gzK0W9nU8dnjj0tVl7R5/L5yRwHzyzoDLt0g+3DBOOe5qMdypsNn2F/M6fM2 9J8Z/H75BizeUNm5nU6YM+YzuQz+LA73cR7hmV2G78YZrk/dxd0XYb5N6GDR 46LTXaghHS0647aGdM/ImX8tg/hmoVtGP804J1qG8t1Bh4xembPP/A8Hc8j8 ze8w3+EFG/rOb+rnRHbxrZrXz3yEy3NumrHO5+e8N9Xvhd8F38KZPa4DPC7G fX1mTk+UeSYVn4nfwg2ZeE1wbfiN3ODfw7XhD3Yev1e4QPBoaOc6x6/2bxfu 1VWZfpPwwwbbhydFO/QFZ+yJVByye13+cf+ur8nUFlwu5MvsDckgvvvo1dG7 o+OfoyH9OuPn3p8j7M/mMHh/acx/9H0lfJ+uc9twrHZwHdYO9AuHDC4f69Oz GlqjvpDqW8FvZ2fLUPbslXwdYnm6veUs9+CxFmQdyHrz2YbWnK82dO8b6aSN cjprxledDrcMDh/3s13sMFw+8uDD3WSfdkY6f7TLP+M2KUv+ay7zbkN3qxF+ 22FkMXw27oPjvjLm5I2G5gK96ZsN6dvGuBxl7nF4mO2M6EjR3VbtwjFjjfyu +3raz0qY+nC8aO8jl+cZeJb3HCafO9S4+4v1Mbpc9Mrobl9sSKcLt4e7tFhv 4+C4wG9hfYwuFD3i4i5X3SVFGdbVrONJhxcEX4t7zUhjnYeeFp0u65QJfp6P XY7nrepQfkpD91VV/f/q9tHX/tiQjvZ0zwecT96d8Q39viZ5nIwRXeaHDemM 0aXCN8JWNpvD6KYZ63fui2/nDw19e/mtvNDQ74Wy37su+5Vv/ZzfGivCEzxe xrRoR8iZlvS13xVRrtAe69E85EhLOvKkDFkb8eGR3h5p65biunYNv0upPdZs kd+9lD59pgg3Sun3m+F3lLrP8r9o+99C+7ws0mbOJZeXiTbzUnK6pF6p932d 8GfPxTd+IvyuLen414r04bl+N3/zTStlh7g30mZtydaxYKQtVMpOMEv4/2Ta R88Y4WFR7rZInyPKzlpqjz1n+L+Uuh919fDXKGW3aAt/hlI2j9XCX7XUPnK2 8OcqdV9sLfx6KRsGZ304gz3tP1VirJNL7ctejfBPmfQAP0b4zniGwVF+SoT/ LHRn8NBI+6cpu8oflC91D+0fUe/nQnaaXyP8SSG7zsTwfyh1z/Bk8gvpZz8L /8tCd3v8Fu1NKKR3+DT8KZn0D7/Qbya9QVvg8GshPcId8Qy/NGUX+i781wrp Lz4If3whm9D74b9XaI/+I2uJQjaqW6LupKbsTk/zjKXuxH4ywiML3TX+Ufi3 RblLIjw2wuMK3Z89OvznC+2/X+YdyfXNfSHCLxayV/HOfuZ3mP029hHsJ6xN Jjb0TUYPjT4a3TT6bvRR7BnXdBh9OzpvyqCvZo+J/pT9DXXIW8D7TfRZ1CMP fcoabocwe1LKo7tG/0zbG7ovbDK/N2R753vwm78J6Aam+PfLHbPs+dnvY1u7 qyEbGvPN+Q3ObqAvubMhnQn6C95l7Hvc64u+A13HvQ3FaQfu/jCnoxdHP45e fWOnc7YCHcO9jc60e1yePnmXef/X8bjQ7Ve2BLBizf5nQ+v2afp67wHBY2Nj 0sPpW7ou9gjsHei80ZmiL2U/2cthdKjTdOKp9p3ovtl7opufpgdPlUd5dO+V HQXbBH53h7GXYOP4x3eyYRfJnbau09FXEOa9qOw07DvYi1Oe/Thpazmd+uS9 47vI6KubsdnI876y+/jXz0D9T72voR3SehlfsMVxhoS0wx3mjl90WJwd4twQ eiu+N9hjeQ84E8V7gR3sxobssYs5fVH717sMujO+AdiHsZ2e35B9GJ3i5Q3p FbEVX9GQbQ293Q0N6e64Lx2dGs+Cro0zYJz/ShwmHVmFrXSSfe7oREZh5/yy YVtlojzSb7LsYx2CHo1vKjbbD62z4rwhbV/j9tHr8Y3B1j3Y6XMZm1v93qIL HOx0dL3nNaSD5Vkvcjpt813h28vZFu6VRg6zFn6wof0j9uqHGrJLD3cZfgvo EYc7zLkVZBfyiP3liIbW0szbA5479Il8+7FR93cd5vYih6lL24/7GdjjsSdk z0cfPB+/XXSZtxkHziTy/V7MY7rY40KHRZxzdIyNcuj/FnUdylP2Upe/xHWp h+39qYZs4Ke5X57nNmNLv+hBL3H5nsYdzNFz9G107jvZl7IP7esw6dh1sL9g Z+nrMHYi/L2djo0IWxG2JOww2GOwlWBDwpaETQp7EXYj0mgTmxE2LPJJx5ZU 2bEI3xeyYu5S30rsNthvsNkc7vax9WCTwTZDGjYf7En0jw0BWwJ2igscxqaA rYky2I8oRxz71H4Ok45NiXH1dT8HeCzYnbAVURabEs+zrDHZz+FDHV7Otozj /AzUwcYE36a3w9i/sJ1gd8EOgg0EWwjPfo7TscVgV8G+gi0Hmwm2E/KJYwvB DoKtCbsRNiNsI9hNsElhLyIPmyY2JcqQhg0Km9OR7ucYPwPt0Rd2HGw4PM+V Hhf2KexW2Pew81VzSBh735Eu0932tQNdHhsRtiJsSdiUpoX9/Ee6ffDY05hg uxrg8qc5jJ3rLJfHnnW4x8V4sUeBM/OMHQM9A98B7DrYa1gXYb/AZjPO78MJ DmNDwVbEdwZMsSVhP+L7Qzq2H9ZJ1KU91pTYSLCP4LCVYHPBDnOS27ncYewy g9zXtHsS3D42OOxL2KtI41uNrQUbD2s17DfYbrDhEGYtd4P7Yq2LjYjyfNux M53l8E0OY9uin+M9Fva77HvZD19tTLCFsXbEdlWlnWqshhnDHdwmNiPWKujI 0NmxbsduxV1anHUl/3yXAZMLnH6H667mNQ9lSBvqMpu7TfRv2Izo82LP3VCn 9/W3nXSei3Og9FvlX+oy7DEI016lY+J7/qDD084dZtIDDvA3n/CDHtMVHhf7 H8LoOMhDv8H+izj6CvQGpF01XTr10WEOd3n0kyNcHj0J+zjKk3+kf5u72nbc z+GB/i3zu2MviV4GnQy6OnQx6GHQ5aCLQQ/zrNPR7xFG34GuA10OddmHUp84 ep5+8S19qyW92N0R/qvQ+mD/CN/Tkl78aZenLvoc9DjoCmh7Wr8R3iPKjs/F LdqbvU5LuvM9I3xVS3pYdI3oBmf3fhZdIfrBN5yOHhJ/iMvwnOhavzVu17mv u6LNnwqtXdBd8Dw8I3pN9JsVNjcbB/Sg6DHRV46KuvuU0js8HuG1S+lrjmLs LelPz43wzoV0/Mchawrp4M+M8EaFbBenRrhbIRvOblHv/Vzcq2vYaxayHV0f 4ccK2TwvjfBJhWwIN0d4TCEb1YURPriQTeDECC9XyE5ye4Q/LiTXd472X8/F Xx4d/lGl9kUPRHjRUnuDRyKcllpzvBzhc0rpDl6L8LWl9iT9I/xVS7rC3cP/ IBe3657wZyq1P3kqwluX0h/tEmXezcVf2zXC7+Ximu0Y4bdz8XnRDYMteuYx ni/05/i3eu76R/kfcvGz9g3/1pbsiAdE+NGW7HyHh/99Lj7XweG/3JIt8LDw J+fiQ6G3+CKX7mLvCH+Si4/WJ8Jf5uKd7RPhz3Jx0/aN8Oe5uGZ7sL9syfYw IPwfc3HEjojwT7k4YsgXOBLwKNDtw5mo0gij54dzwW+T3+XRziOd3/Q1/g7s bvk3TfbxG8rFNds/whNz8fJ2D//MlvZYlZ6U39SekfZRLl7eARH+Khdv7tAI f5eLn3VIhMfl4g+eHf5W8Z70iPk6P8J7R3gr1twRTiJcsuaL8FoRXjPCe0Xd j3Px+27lt19oPd070j/MxRNkf83cMZ/HRNqMUWbphn5Xt3muD4z0Z1qyuY11 OraDSj7BbTg+yiwSdeusSSN8ZIR3jnBfvg25uIEHR/jNXHvnfrwXuXiIB0Z4 Ui4O4GHhf9SSLvha5i3aOTrCV/G8ET6EtWmEzy5kjzkiwj+2pEMfwjtfaC90 I88c4VMa+l6AOXrpBeJ9n78UjwAZDU9jqjkepzu8YkP/l4zdgfsWuY9ylPez YMPeFi4VY73f+Su4DHcgch8l/7F7n8PYgrjPkP+4xf5L2S4uj91vRfdF2Zrr wgdfpiG++a3uAzsJtkB44HC9uXeR//TlP225K7Dl8GsO8yyfum/uUfzHYZ4B my58b/jgrMl5d1hvw21vb+gs0ap+ZtrATsnZCvjmnDHqaIjrzRi4mxKcPnGY 8th+V3WYe9m4/w77KTZvuOXwx7nLj7sO5/C6mneWtR9jIP1b+2u4DLzytRri jxPnTkDaWK+h/8FlXPh8s7E1Y29fz+k47jEEA8a0mtPrbof/bGXvwG+L9T/8 9I0a4m5v1tD/yNImdl947HDbN3E648K+vZnL0N6GbpN79vhfWP6rtIrT51LG hPsAaWNzt8Neht80e40eLk9dyq3j9sE4M7bYinO/S6yr+X2wZr7B+1DsknDq d2mI2479kP8v591kL8BvlPUzXPh+DXHq+b9A7mbiXqYTGvpfPXgR8CNOcJg0 ZB12k/Euz74f+zfce84EYL/kjjn2jzs5zF1zvRv6r1PSsI33dpi0PV0ee/v2 xoT/md3BZUjbzunYRLmDb1+3vYfr8iwn+3nI38llerku7WzkPDDOjScYsiaf 9s2o6x4n+CXsl7nvi/+PBBvOHBzTEPefvRjfJ/ZNN7oc2MMxgufPuYERTqfu Gn4OfhP02fQ8cj5g64bOQMAb4JwFZyB2dHmemf/xPML4D2gozj4d3gPnFziv AKcKfSpnHSZ7DDz/WR4L8/W607mfaqDnl7QqTvgBh7n7Cz7FAPfFWYdTG+Lv E+f+NWzX9zv8gP3+Dq/j3ybvLd9MOAw7e33NOpv1Npwm9Abwmm6Kb/M3uc41 XR/hd3Kd4xrKu9eS/fn4SD+ulH7qrkhfPjffphnyJNPZpC8K6crRs6we9dZo ib8/Icp+mut/Qn5FH57rjFPPyN+opXXlBuFv2NI5gLXDX6uldfdO4ZcdWpvd Fv0vl+uM00Os5UrpnrpF/sJNnQHoaKo/+lop0pdtis9+ULTT0SE52Dfq9Sll D/u9KZ0+e7ItosyWLZ0JuCjyLyhl+9km0rZuaZ07FFtDofcS28K/ti/8Xsj2 gN5w6ai3ZCl91vxRb4GWzme0wi9aOg+xcPgLtbSv6saztbRfLErZeNCRLduS LYc9FvpGZOVg7yXP8P6Uvem53p9iX1rKNqYdsL2UskFi56nZ1rNBpK1Xyq75 VCFbAr/bz2McnzW1p8de8attFp+E/2lT52beKGRjQA84uSl7Bnt0bBTf2E6R tGTT4j2boSVbCHvrOUrZeNCJY1OazXalOVuyG7G/3z3a2KOp82R7hb9nU3r3 FyL/+ZZs/29H2jtNnfW5Kp7likJckLHYVprS2bwf/ntN6XXGhP9KU+eEzsAe Uogv8kykjWrqrNKj4T/W1Dmn+8O/rym9V+8ou3shWfJ8pD3X1Pp0WPj3NHWO 6qLwL26Kszwo/Eub0sldF/61TelsVo82Vi0kU1m78tuDX301711T5702j/xN C8mwOyLt9qb0YbeEf2tT57EWjPz5C61Xnoi0x5vSJ50R/plNnVGrsZcqtEY5 Bwya4qz1j7TDCn2X27AbtiSTTor8E5uyD3zAHqQlG/9N4d/QEu/wRfZWpWxC B/FcTXHQDucdaeqM3ZHhH9EUd28y68yWuBe9wKap86CvsKYuZWd9iPe6Jd5h n8g/oKnzeTuGv0NTdqfBXivCAX6D/WBT51JGsn8sZVM/Mdo4viXu0Wm84y3x qwYyV02d59uA/puyY2wS/qZNnV/cgudtyhaxevirNcUnfYy+Summn2P/WMrG /CT701K24XV4N5s6Q7ly+Ks0dUaT3/2y/u0v09Q3iO/PsoH5Cbnk3gmR/mKm c4Z8U0/0d7UZZfJCPLWzI+2lXHbmMyJ8Zin7XIu5LbSOPCHS/itlFzgp17vI e7gf6+1ce/kJ0c+auXQdL0W4lYtHwffvIH8Dx+T69vHdOz3STivF06xjoyy1 NuSdavd7tVCUP7rUuazDwz+sFH/2hVzfcb7hvHfzFXr3joz853PZyR+OZ+ia y/51IHbkUjaQ/uEPKMUVOCb8hXPpFpAPx5aSEa8gdwqdw+R3tmKh39oKpFmW PZ3rO8s39q7wh7bEE6qHP1eu82zbRntz59pLDuf7lul842KRdm6pc2i9w9+z FA9jKfZnhdbi90b5DzOdn9wj8ncvxTs+L/zFc+3d+B1809Jv4cnwn2iJazkp /GcycUqRt0+WkrlPlNqPsRf7KPJXz6W/XTL6XKIQJ3G+SNu31Dk6ZOP+peTj +6z5c+nAb+O7l+ncJt+Jhf2tQLb0KiVftuK9zsWJmbfQO8H7sFmkb1qKo715 +FuU4og8m0uWI8f3jrRncnFQdozw1FLcE+TMTpY1C0Wb75faD4H3NqUwH4F8 a4mLzLs/T6H3/1VkeEvc5mY8f9GhM2PIavauyOuc326Hzph17dBenX16q0P6 BXQL7VGmS4fPVnVIp8OaIYv0rENn1VJ+3x06z5Z3SE+BjqLeIT0IOpBGh/Qp 6FKSKF/r0DmxFTu0f2bvfGGkd+S682PxDukd0Dks3SGdAvqEZTu0D2cP3jXK L9Ohc3rrIV8ynbv+M8a+fSnuz/Id0jugc6hFmeU6dDavHuEVOnRuEP0r6wV0 vEt2SC+DTmb5KLNIh84HrhjhJTp0PrBLhJfq0JnApEM6IPQ/2yPvMp3Pb0Q4 7dC5vu/RO5XiyC3BeqpDZxrn7JD+Ed3jUvyuO3R2cd4O6VPQpczfId0Heo+5 O6TvQNexeJSfo0PnIReN8CwdOj+5YId0SeiRZu6Q/gvd1+wd0p2hN5u1Q7o/ 9H6LRd3ZOnROcskIz9Ohc5WLRHimDp3PnLFDOjX0acifHyyDZoj0sikOD9/L C/3NXC7SFurQOcmlI7xAh85e/sbvtSU+4tG5ZAly5M9IOzIXb5F3/wC//1OQ Yy1xqIcHrvVctmy+bQP9fdss2ngo05n5hTukO0NvNjL8vrm4/KyRHyi1dr2/ lA4O/dvwUu8Q789jpeaVOR1Wap6Yo6GlMAKfu0vhDuZPRp9vt3Q+//FS7xbv 1YhS7xbv1T2lMAXPp0r9lvgdPVzq3eK9erTUu8V79UiEV2jq7OvSyOJcfFW+ fzv6G7gV64tcZ2vPjfB5LXGgnyn1zvG+bcxvNtfdSMtE+pRS9t6NWAM2dV5z ZKnfLb/Zp0v9Jvk9fhntHZ6LrzkefV0pXuJdpd4z3rEhEV6oqX3BnaXeFd6T Y8I/uqlzhPeWeqd5nxeNb9JihXQx95V6J3gfHir1rvCejAx/rVx327AOerel tdBTER7R1Fm0dyJtRCYux1Ho0grpAu5mjZHrrp2Po8wnLfEs+0X6IU2d13yE NUWu+3UO49uV6z6kfaKNfQvtV8dFvUNycU8fijIPNnV+cevI36aQDuUq1h65 7hkaE+VfaYlHuxvfwFx3Pt3MuiXX/TqPRf7wls6N7Bvp+zR1PnKX8Hdu6vzo 2tF290L6oP35buS65+muCN/Z1Pm/NPIbhXRVY6O911o6c3BF5F/e1FnG1yPt jZZ4ujdG2g1NnS98sNSaifXS+eGf19R5ytORC7nuapop2p65kJ7uyih/Rakz Q/y27m3p98VaoMy1Hrgz0oa0dA7gqih7dSkuY59ca1PWpQ9H/thSZ1lYkz7i dSn7v0u8Bxwc/qu5+EYXl/qm8D1hrXp/S+vV+1pa37C2Yb94fmmOeFO8Ojh1 wyJ9v1znfp5t6XvBt+LFKHtqSxz4wVH+rUx3QByUa1/EnujtSFs5l92f7/eo lr7hY6LujS2dKWDP9FxL+6Zvm+K3wW07q6n1E2sn9t+jS+3Bny+lQ0d/PgXb R0v3orHfesl7rrG59uHT7n9Bt13qd/0i81iK5/tcKfmN7G419V3gm/BTlPm5 JT73gFx7BvYLz5aS68h09u6Ff6ejSsls5HV3/Fx3qp0a4VOaOuO7Ld/yXPer bc3vuKlz2Lchb1s6mzEyxvp1S/d9HMf6IdcdY3Ah1y/FITk78s9p6fzGWlFm zabOqaP7v7mULP4s8ie0dK7l9lK2Gewy6EjuKKUneSP66pbLHnFJtPF6pvOr t0b+LaXOmb0Y6S80dWb082jji5b41isx17nOwB+aay/EPujl8LvnugerA516 Lt0u+7MPvUd7Dt15S/ebTPsed+ibzH7un5b2dO9G+LtM92JMRjebixexfrS5 QSG9MHvTNb0/Xbol7im806+j7oa57q86Ldd+lb3q21H2nUJcKMa6UqHx/hj5 PzR1TndUpD1bSG91DjqDQuc31gj/o1K65FWir5Vb4shflGsfzh4cbukmuXQa faL8/oXOAJ3e0rvOe35ZhC9v6WzMhexdWroz7yB4lLl0lqtF2na57mpaudA8 MUfbYw8spFPeLvxehc6HXcQ73tKZnBmi3ma51lrs41cptJf/OcIb5bp/68sI T2zq3OqtkX91Lp3dxOhn7Vw25a+x3xW6o+TVpuKEB+fSZaDHuCnyby6kT3wr 0tbNdW/ZmxF+o6mzwjdiNy50/gndxpBC+o0B4X9eSteKzmCTQnoDvh89C31D FmyJQwx/eL1IW7fQObO/ovyfTZ3BhTu8RS6b/teRP6kQp22L8D8ppUdHP7Gl dRRn5dJNoJeYFH2tk4tPwn5xtUJ7xmcj/4tMd8FsXOj7xbfrjkJ1KM9e6pBC +6lBrH9bOn+GjqqH9VTs3Qe2tH9nX9vLe9vjWtJFoodEB3Cy9QDbsd9p6UzM 44Xee975dSNtnZbOHPCbGF7od8Fec3vvN9dsaX/L3rZsad/FnusY6pW+mwI5 35KuAB3eEqXW5bvl0gugE1i89DsUbbaFv1ip+2J2zaUvQFdwA9/tUtzWHaKd XXLdxfVgLr0hOsP1w98h1z1h6FmPbknXOohvTylO/CJ8y3PxUGdvqT/6Qne1 l/VX7He38Z63X6F9JnvMAyLct5Dum33JtS3tTdAtHVpIv3RlpPXOdUYNfcn1 LelMbm5p/8beDd3SEdYvwTHfKpeeGR3SLS3pka4L//5M/NJrIrxXrrOw++TS y6CTOS+Xfg3d2uZRZqdc95ydHP2cUooTuWf0M6GUPWHTKLNJS2eqdi20H2Yv fFJLMhV5yp54l0L7YvRDZ7SkIzok8vuVOiewU+Sfk8uetEuk7VrqnAa6wN0K 6QOvDf+6QjabHuGfkcvW1aMl3QF6A9ah37W0Fr0Eu2guTt98kbZ5rrvx+L2e Xug3O0+E5y3FV0Z/eXkhHeZKkbZyKX4hvPXZS/FRLyv0feHbwm9rUKHf18Bc ekB0gMdF2rGFzkT2bmoPwPp/YKQdX8hWtEI8z/ItnflDJ3qW9aJ9m5KdyM0z 6asUv3J51vyl+J1X5tKrolNFn9HIpdOAO/9bIc4kXPieuXTUXzG+QraanhHe uNSZkyz6b7R0Vglu++uF7EczRdqMLZ2hp/8rCz3DEpG2Za67AzkH8HkhzubU 8P8uxOU9MfxLctm3msjAXPf8TULvUcgexLmEpUpxhy9AjhU6S3ph+BcVOivI XqTl/ciGpfbq7NPniTbnbukc/2LhL9rSmbDn0cHn4loPaEo2I5fZT//X0p66 S/hb57qncJYIb5rr3sSrC2EEPujgnyikh+e7u0ehby967msK6bofCv/hQrau 2cOfo5B9mrMIPXJxyfidrZjrtzZb5M9a6BzwXLwbuezf2DGGFbJlcJZig1zc vLsL4QVWyOrNCslrfnOHF/rdoePpWkjPM6GpcwucWfgwwuObun8CvdrJhXRr D4b/QKFzwx+z7s51p+bfLWEHbvdG/n2F7Hx/sw7KdYcluur/FdJXs958v6U1 55SmznJwjoP1++iW1vAzRNl3S9lbb8hlw8B+QdoChdIf5becy7Y6KJc9AFsA Ov5TC+n52cMlufZxpxTSpaJH/T/XHf53 "]], Polygon[CompressedData[" 1:eJwtmnnATdX3xm8RkVDKVIai933vPfdMNElJkoRKQoWKRuGbkrlCQkUpGZJS SJJEUSIyViTJVBoMJSGVkCYqv8/T8/tjve969lp7uOfss9ew1xm3dG9197GZ TGYpf4rz//gok9maZDKjgkymej6TOSyibWIuk6lSlMkcBO8CjwJvLcxktsSZ zNdQzwL60qdJmMn8gc5P2UxmPDr/A29AXhzZcSL4EtBUZL3R2c1Ye6CnpQu+ Gv4q6FzweVA/+P5QS/gWyN9kbXOhfozVNeux72aOEoHnSOpkMjE0G1ltjUnf blBT+CugAmRnQTOQ1wBH8CE0C1wL/Dtr34/+M/BH+H3d4e+Bmqk/OpuZ+0vo Cea6F3wNslbQ+cgbgosYqxB6Db4mbTn4LDQTfAb4wzST+QB6Q78FKo6sGDQO /kTkrfgt5aB/wYvAxfh9x0JT4F+CGiP7lTX+kPUzq03fWtCr4Orgssjz6C+E n837+gZ+B3QC622Gzr3IvweXBZeDStD3OOgZZGXp8zLyLfy+pwLvgebotoDW IhuBzq/wv0GnIrsS/An6E/g9h8C/6f3yLKbS/z74yqxzLLJnoAPgJ9GvylxV oJfgqzBmG8ZqC22CH0nbtfCtoA3gjVAZdE+AJiA7CVwR/lRoMriS9iDzbYMe h+9C2wespyfzfcN830KnoFsBmoSsIjrV4atBL4NPA5ei737W+xy6NVlvZWSV oCnIKyO/hLU0glbBP0rbxfANoA/BK6GT0T0JmojsFPAU5p4K/cl4T9O2izFX McdAZA+zn85E94w6llWjrTR8KehZcHm9P/gToefAJ4OPhy8JjQeXA7/C2NOg 0eAx0OnIToOm6tkib8Dv382c34AHgTeBD4XeawXgOfR9E3oB/KLmpG856Hn4 Csj30XcL6x0Bv4T1LqNvJ/Q/5/dshjrA3wRthB9Gn7uQL+F5HNb3Ag1GNgTa jfxx5KUZqxj4ZfCZjN0Q/R/5/x2yYeiXRL6a5/8I8tNp3wttoG0ossnM/wpj vwr9rHeh/Qb/KXQM+peDr4BvCq1B/gn0OuMfq3cQeM4+jNVbZwqyq6F/Gb94 7G/pPL6Ppugfoe0XxnqBtgvB34G3gvuD/2FtR6HJGkvfJGMvhF6Bnw61Z+wO UAN0LwW/Sv9f0J8QeE/djuwOqDHyJsjfZe5F0B/6lsElkL2D/oPoVmXemryL GtA0vVt0bkV+C9RI42vN9D0fWg4/FJ299P0Jeob+PcE3oHs9dCHyi6DurPVe aCvyx5A/Qd9ZzDMPfivyv9D9E3o+5zP+dtY/E5398Af0TpH9HfnZ3Eefj5A/ wnh7Ge9HqJF+r2xC1t9gRfq+RdtcZLPA39N3J/RUzjbjYmSfggfDP8P7Hcva x+g8L3TbGmSfQDsY7w7oc/jN0Pfaa9A38N/KZsB3gxbS913obfqP1B5h/C+R P5pz23RkrySeS22zWd+d6DRSX+hSve/IfTei8y2630AH4CfQtgD+xdBzaQ2j NVbotW2HjuNZzAb3hT8AXS77F7lvOfbXIfjfoH3IekCfMX93dJrCL4P2gO8D N4d/H5qmsyj0b9UzGAQeDb4Vfgt0CPxr4rEnMcdy+ndFfhmyxdoz4Gr6HuEH QMfDl4IOZb3G5uieAJ5G3+aMUZL1l4DCIrdVha+SWjYTfC18K32/4MU67+hb QfuXse6HrmS8U2Pr3oXOteC6sXVXgBP4FMqAh6DfkLEuhh5BNp+255HdSp+L kc3X9wx/TOzfpjX1ge9A2wXI5kK9we3B9eDnyF+Ar0HbnJzHvAacjT221lwA Xwj9g+5DUMjc+dRrVZ+p6sv+/ecs9jP4IM/2NcbolfU72679E/rd/QhdB385 fVaje5QxBsM/DH0B3sYYz8Lfgs4e8C5oHLgjeCf8jpx9m9tCzyUfpx9r6Qt9 W+QxJ6E/GdoL/zfjvSTbD1UtcNsadMeAv9HZxDd2FfzVesfgJ1jfBfD1oWJ6 HuCh8ENij6U1Pgg/APocfiltg+AHxl672m5gbdeA18FX0zfNfCNS/1a1NUZ2 mXw4+OH6RpHdnvpdvy97Tv+LYvP6TWt4fi/R1j3rb3YsslGyoVn/hke0d3j+ 25n/K/lr6D+JfkfkX0Jngx8GXwe/Tj4UeCC4tWwBdIT+fcBXwa+E1iL/JPG3 PIbx2sGPQH6jzhL5OOD79RvhV+v85H38GPndao2N4W8KvZYEugz+58hj6Uy4 XLaKtnbobtTzRnajzhz5etBHPItH5RPDH9aZC38ROvWzbhsBvlzns75n8FPg x6UD3ib7hOxo5LNEe/B1ns3w2Lpva82M/2Rs3SOMP5G557GmBwLbkGmxfVL5 oj+hMwi+LzrVkLUGV9Fegt6AfwCdt5EVMeZ85AugnbF9RvmKZcCVYp/pOstn 60yDLw/N0N5FpxZ9z4Le1vxZ+5Y9GLN8YB+zPLKTodfg+yN/U+cFeBZ4NhTA vxP6rNKZUhk8N/TZojNrruyJzq+cv4F58G/LBha4TbaxG/pHc7aR22P77PLV SzP+Ep7fttj8ctry2NYAeh3+zJxjg3voXypwjLBVZxd9ritwm2zhHcgP5mwT TwSXgabDv6pvmPWeDy1BdxBjboBfJ58dXIxx1sT2AWT7M7RNZqyPeF/DAvs8 62P7NPJl1OcX2QpoXM4xyELG+Dh23yWyEfT9UN8E+G7ZHHQPRo617tH3gW5N PTPtF2g1/LuMUa/AzygER7Fji8Hob2K938V+18eh956+JdrWgD+BzkF2NrQU /WVQLfja0Dz4gTqvZSugj9B9WN8ssq9ix4JtmXMB49VHvhy8Qu8bWU5ryjlG mcucL8feqwvo/1psn0++3r6cfZnOjPFbzj7Nn8h6g6sqvoA+Z+zftUfhSzLW H7FjFMUmajuBZ9Uf/dryP6GzwAVQAr+W9R2MHWMqtjyFtjHwg9BP4TsyXxG6 hfKxCtznU+bIgeuoP31WgA/E7vtB1r5mT/pXCOxzHtW7Q/90xQOMcSz8MdAb BW4rpvfJGKML/I0ep3fLGFczVnXwSvmriflVtO2X70dbrwLPURpZCaglsprg L3gepRLzpdBbC54R+1kepS2LbC3tnxb4N1YHD2C9EXweWhzbR5Vv+id93kF3 Pvh3+EVZ+/pd0P87Z5//I/Cq2O/6X/CH8Ctj8/pG1zH/e7HHOoax3tHe4f9p BX6nC2L70PKdNUcg/wrcJutn/IvWHvvZnQz+mL6V0CkSj87J8BX0TgM/01Ph T0n8btU2nLEeYL2F8O3knyJbzRhvFrjtK9Z3Om057RXlLZjr59hzKadRWbG+ Yvys56wGrgJdm3WfsnpXqb+VHP2HgR+JbJtkY4Yj+zi0bZbN3JY45lSs+bTO V+RlwAXgN8C1FUvrTM37TH0c/Z3gU8G3g18E7wJXAnfXnkoccyvW7qKYJ3FM oViiJ3gguDi4IrgjeA54j3y8vHMoOfgTkReB39UzTZwDUu7nUfB5+r6gwrzP uJPgD0K18j7Td8u3UP4l7zO/ZOJvUt9iDfBh+V7Ij8/7mz0U+8zRWaMcQj/0 d4ArgNuDu4GLMf8p4LbK6SA7AVwbPA38L/L9tJ2Rd0x2IHGMqdjyecUk4H3I a+QdE32hbxdcLe+czfzEMadizQH6ZsF7kZ+W95k6AfwsNAlb301ntM5qaDD4 FvAQ+KGJ+dtoeyNxDkK5h76KeRLHsIpd+2h/KbYKzQ/XmZw4h6XcVf/AtvuF 0GuRDVdsPDvxWIqRH4R/OvS7uynwXriftg6B98R2qDe4neZC/wH11fqy1nkG fnzi36LfoLN3EeOtDHwGN2G80uBRRW5T7PsY+rcFjoE3oX8EefG8c2zDkX0k HzZrnSflX0G3yxcEfyhfSfEK/AD5N8jGhd6bnQPv3ZGJdbWHH9X7194udJ9Z zPcX+pm8be63sW2qbKlyWMsU2yjGz/sMGoDsQeh45t+JfFjqHIRyD3vAGWz9 0NR8Sp9u8kfo/wm/92vZ0NQ5HuV2tgTO7bwfWqYcz32pY2jFztsC55Y+RL4j cI6pAvz/Uvc9JufYeDVtPwWOkSvBD6Jtl/Yy8odS59SUS1Pb/eAHUq99L2s6 DN9CY8hW6jcr3gCvAh+hTxv4tvIx9KyUv0ht02XLpfMvuEfqtcb0vzK1jZZt 1piy7YsZc21gG6/cySrlBAPnUAYir6j4pMhtnRUrQV9JTtv18Nel5rUGfTtv Jd7L+oamx45RFJsoZ/O8vm32xNnIfqftWnS30VYOfDm4LjiDvCz4fHCY+EzW WVwXfAP4WOQng1uA71B8jvwk8DXgJrKnyMuDG8kmx7Y5sjXKEVVN/t8mgrPg E8H/8vtK5+0T1FR+B1wmbxvYELxFZyL4InAz5fKgbN4+zkWpz3yd9e+Db0z9 zvSulBNrqd+GPJ/3M74H/LfeUd45mFvhyyOPwF+An5NtVL43cMz4cOp3qHen HNpj2q/o18l7Ty2MbdNly5VD6q1ngTzJe0+OS73ntdeVc30JfCy4bt45SeXy loeeWzm9GYp3od6Bz7yJip0Y7072y93aQ+gn0CL4HrzzOvAp9FSR265Df3jo d9MscCwxL7QtUUyhd9UGnaaB31lh6phBscI8vX/4Eujfx3jvBfZd54fm5cPK 9hSk1pUNastYrXT+ZT3mOal9UvmiiwPbpgw0JbCNuk25IcV0yFvS9nXiHL5y 9yMD24qvEvOyGcqtfwZ+PHCO/fPEPrZ8a7VtSnwHoruPEYF99amhefns65Cv 1zMBb0FnI/wG6HCh23rC35fYdlyvMyN1jlG5Ra35Fu1/7VXkV4PnKLcdmu+h GAf9S3UGBX4HiqXmhPYdFFOV0bcDtUY2HVwudcymWG1G4NzorNC2VDlS+RoV oJmBfY5TUsdsitXUVgO+eup3Pwd8umxpal5zHKVP2dRjH8w6NnqD8V8NHCOd mDrnqlyr2s5MHYMq9nwLXEr2J/Vaz0WnE7+/I9SE339V4Njh3dDfmmKIy8CN U599egYlkZ2d+t3/yZj30rdH4merMW6CvznxWEWF/pbrQUsDf9M19X0wRpsi 5yyLwZ+Rem2/Md5S+i5J/C4H0XZB6phPsZ7G+Joxbk28tzbT1kV7KbTv0jpw 7nMS+KHAOdAzQ8f0iuXzOZ+FjejTIPCZOF25S+XzwN2QX4rsYuiGrHV+SJyT VS52HHh34jsr3VWNDZzLnR6aV053X+IcsXLD4wPfze1J3Fd3dNfo+6dPe/gm tF0t/012p9BraA5uATWGL613An9l4meptnWKPWUD4Ycw33OJ7zx016E23UU8 n/gs0Z3EFPk7UGf4e2g7H74edEHgGOsl+AmhfdceUB89f+bolLWP01j+WOiz viG0SLll8A3wfZm/l+yLbEuh2+TrTk48l3ze1+FnQosLfebV19yJf5vWsAv+ e6gy+2EM+C75NtpDzN8KvCpxDK7Ye0hg37VzYpl8WPmaKxPL5HMq1p8S2pdW zK9c+XL5k4Fz5isS34Hq7lNt72ltifea1rgs8Z2M7mK0h3Q3Ny107KA7us3I WiZ+d5sY4wXGGqKYW7ZS5yeyP/TMA/8m3SXORP5i4DtF3VXMCO07685CvvXP ifeKfOzDie+AdferPt+BdyZ+NjrTdHdyRP5y4DuUBvCTdQcBfyFtF+r8Q+fn Aq/pL/Cfib91rWmj7Gxi3fX0+TvxHbHuhjVmHz3P0LlG5TRlS2+GNgW2qf/l JpCvD5yj0NxTlDPIeQ36di5JbMv1DeVDx+yK1XWn+2LkZ6ZndSeURzdK7Hu0 Rech5QK0XvB5OkNC52SUi9Gdj3zRjbHvtv/zScF/gasEjolejfxN61v+X862 q3Vi30c2bGjoPa29fEng2He87nxyjoEfDB2jKzYPA8eepyX2ZRSDjogc4yq2 bS//MnLOT7m+NjnnCu6OfPetnIFyC0OgtjnnGMZGznko19Ep51zC8YljN+UU +oXOoSh3UitwrqJv5Ls05SyUW2oX+a5JOSbl0puA05xz6vJtXo99lyQfJwkd wyt21xrki9VI/Nvkk+nsmRT5XegMUq7i8ci/TTkLxe6DI/82xfB1QudklIvp QNvZofeU9pKeofbeuMi/TXtQvuZliZ+1fE6dFW/pPM35zLggdEylWKpnzrHo AH3/gWNS+aJdwW0C+6SKVZbGvvtUzFI7dE5Luaw6tP0BnoB8t/YufQpC51SU S1HNgHILIyOvXTkG5UZaRq59UI5EvsCMyHtHPsH5oW2ObM3dyj+GPgP07WvP yxe+nvU1D+wTR6FzSModqYZCZ/3MyH115j8W2oeT76Y+X0eOWRWr6g5YsXfF 1LlaxeDKZTeIbLuU01Yuu2nk36qcdv3IOXHlwgPlzyPn1JVL157oFTqHp9yd vhHZ3rKxc6mywc1C+xTyJVQj0iK0TZYtVs5ZufKRse8ulTNX7Hpm7FynYthO oe9gdPeiZ667htHQ9pzvHG7jt6wIfTeiOyn56rekvtuWzz4R/lPkT2V9p9IA vDD03ZHu1JSryabOlStncw38ktB3W7pjUmx5buxcqWLMm0PfAenu5zuoZeiY TrGccqitQ8eQih11p6vYoFfq2gXFCIpN6iQ+exSjvBfZ5snW9cvZNi6NfFct G6lYfVfs2g7F7Mq9lEn87SoHsz6yzZat1h37ysgxu2J11Sgotl8duXZAMb5i +ycS554U4ys3flvku2jlyHOhc+zKreuOe2zomF+x/l3QReAPlIPL+Y5Xsf7i yGtXzP9saJsvW6+aEcUemyLXBigGke29M3GsJxt8VWifT76e7jBGhc6RKDei b1S5rAtT55qV01IupH/i3JJyIk+E9tHkm+kbVmwwL/K3rhhBvsmkxLk1+SjK nY1K/FuUQ5sb2SeXL64zQ7FL5dh3I4phOqaukVBthGyUYumGsWtFFFMrVns0 9d25YrZRiqUU4yjfTdvT8FV1HwH+BTwS/GRqmXIcqo1ZE1qmGpkxqWtoVDuz n7ZnU9fcqNbmoL5ndGemri1RDc1p4NGpdUvmHBuOT62rGFG1PGtDx+qq6dkK Pyt1LYpqRDaDp4PL5Fyz9BX4tdS1Kaph2aLzPnWtjmpYFEvHPL+zA8fUSWIb K9uqtg3oT05dSzEKqiHfBPyH7AFjTILvGlumti+Rz0hdq6SamM/AL+s3Z10T sw78QuraGH3DXygWSV1bpRqnbeDZqWtdVLNzULFF6lox1WQdkH+QuhZMNWS7 dF6nrlVSjc0e8ILUtUOq0fhBsW7qWg3VhOwGz09di6MaI/kOg0PnNuRDdEXW JXWuRzmVG1LXbKlWSz5M+9Q1Hqrt2BC4Fqxdal41Yd+D56WuTVIN1Xfgt1LX NqkmartiwdS1SKrx2Ql+O3WtlGqa9slepa5NU03aL+BlqWvTdCe2H7w89d2Y auLGx7Zhsl26wz5XtinyXbzu4J+OfSepu0idsT/rPEhdW6cauB2yh+BTc67B +lGxferaJ9Ws/QRenLp2TTV5w3TXIB8q8J1qP3Bf6B18iaKc74ovjGxbdGd8 Brr1Iss+A9fV/la8r/OW86mWfBfogwK3Bci7Im8C35W2euA3Fd/LnnAeddBZ If+n0G3zkS2IXHuhO+nl8Csi136oJqO+/EFwb9lT1QsqNkg8lto2s/bPdR9V 4Dl7yNeIfFetmo/O8HdFrv1QTchN8DdHrg1RTcc/yq9Dj9G/Ff1j5hsYmX+F tqd0PkW+G9ed+APwD0a+29ad+GDW8lDitekMTun/mHyEnJ9JCO4FbpHzHO8z 1woohm8onwN5p8i8fsNeZD/EfnbqU56xyyVei8ZsGzrnqVynauZm0Xd25Lt8 3cGfg2yi8sfyVVhTQ/hLItd+qMbjLORXKl+I/CTGbAbfPHKtjmpEWsv3i1zr ohqeN5VviK17AX3uh+8fey9E4LroVmfMQo2t3y9fJXLtm87cGvDrQ8u0R2vB Xxq576+M8QJjTYzNa03/5TIj19Ipp9ku9Jmls0o1jOfBv4K8S8576AqeTdPE v1Vt58Kfk3hv6hlMRfflyLUJqimYAP9c5NoC1TwUyj+L/Nv0TpQLfC51raVy ggk4jlyroTNZv7V17NpJ/WbZkmaxa+NkU64PbQN09qumc7buSWL7Jhv4jf8H gtFkFA== "]]}]}, {}, {}, {}, {}, {}, {}, {}}, {{ GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwt011MzWEcwPFHzTnWOU5h8xJjdYytwuYlW6yMTcnGnDasujKaG3VHLlBJ qLx2ihjGGi5pbujC5uUOMxe4sMmdaouVsXmJT5uL7z7/3++c/81/z5O3pyFV PyWE8EF9kRAWciQaQk5WCNl6PC2Ez+aY5yOeb+mmjqk3HsJRTvfbkP/EOcwE m+zzOWrO4xcm2Wy/hmPm1RxnMVvsK/jdXM4f3MLj9jX8aa7mL9ay1b6eE+YD /MsGnrBvZgabmMkWtjHNCLsYZTdP8g6zeJsx3uUpPmKCDye/BQd4mi85ky84 i6/YzkHO5kfO4Sd2cJy5HON8fmMnIzHfm1O5iFGe4Tzmcy6TzOVZFnEJC7mU y3iOZSxgKQu5geeZ4nLu4ApW8QL3cSX3chXreJGNLOYhruVhdrGDJWznOnYy zess5TWW8Qa7eZ8beY+b2M8ePuNmPmU5n/MS37GSb7mV73mZw9zGIW7nCHv5 hyn+ZhUneIU5zuNOZnMXZ/Aqk6yePI+s4WLWTr6f6XypVXWqUIHiGs0I4bX6 ldZB7VaJFmjCpRnUE/WpTftVqSIl9NVdeqMH6lGjqrX+/137B9UCbe8= "]], Line[CompressedData[" 1:eJwl1X9wz3UcwPG3q8u2/MG2q64t/Rpbkc2PmLh+jNShOAnpmJAfG1vph04d RT+ROo1cxyq62UadUNcJVxKOstEv1PWLfmB1XaG6U3q8rj+e+7xfj32/331+ fnfp+OphVa1SSqv8mN86pclnpTRFU1WhSk3TdFWpWn9rgdfu0leZKX2p3DYp 5egptkP72T61Yknz2PZ4D9upX89N6RfNYdu0lW2Jz2KH9DB7TxvZBu1iOzUz XqtG1qC32EbdxzbrFfayVrJXVc02aSlboufYIlWyd7SQLdAj8Tc1mb2tuewx TWVTNCH2RQ+xmRrBblc5W68qNl39WJnuZOs0kU1QCSvWSPaGRrM7dBHL121s rYayIcpimRoSx6oB7Eb9mZXSKQ1i9erL+ugIO6ybWJ26sa5xDViz+rHXVMQK tZVt0XVspdrHvmgNa1SfOJfKZTlaxl5UL1arLJapJ9jj6s6WK7EzGSnNYPeq mL2kU+ykytlYdWLL1MKOa3AckwrjWul79p16s1Jdzmp0gH2hjqyDLmaLtZd9 rByWrTz2fNxz7AO12K/jOp8t0hL3ZI0m+d0n5lW2d6snu1qvW+/nx7xnonUP 1l1rrffxo3Fdrbuxrlpj3cx/5uOtS1ixGq2b+E/8Lusu7Co1WO/lP/Jx1p1Z J9XHcfAfeLn1lewKrbb+iB/hY62LWKHqrHfH+eJjrFdouWp1Hj/M98SzZH5f 23ShuZ1z1GK727wnPlvtzQX8N9tPzZ/pc11m7sVP2H5t/kbfxjUwD+R/xXGb j+pY7LN5DD9t+7v5D52IYzffw5P1af2jf+Mc8nn8bOtz7G9rZahn3As8g7c1 t1O2ruENvE0cizlP+bo2vgN4W15g7qCOKuNNPDf2wVwcz6MGxHnjF/BSc+/4 bA3kJ3k+L4tnWv11K8/wTF4S96v5ljAN43m8gI8wj9So+I7gXXgRHxfXP+4N jeY38M68wlypaXFd+XBewu83P6AH4z3xvcx78NnmOXpUk/gsXsqfNj+j+arg z/K+fLH5BdWoKp5pfn3cI+YVqtUMvoH353Xm1aqPvx3f5fxmvs78ptZrFj/I B/NN5ne1WbPjeeZD+Xbzh9qhufwMHx73vLlJzXqSZ7uHR/ED5oM6lPn//6H/ AHyW3To= "]], Line[CompressedData[" 1:eJwl1XlM12UcwPFHSc2Aji05WilkLq+2TCg1QS1U2LKUamlSM/MgRC5RycrK yNDMzA61uzRry7NSO/5QO6d2C3YoWCu7NkU8ErC2Xs/64+Xn+bz5yR74ff2Z Obm8sKxDCGGtP9oTQqigkipmUc1s5jCXGk6zpEsIB7uG0EQjE84M4YKkEOr0 Bns9e7lZ76LX6nvsu9nFOP1EYggP6DvtO9jOGP1n/V59m30rWyjQv9Rr9PX2 dbzJSP0DvVpfbX+VVxihv6FX6KvsK1lBjv60Xqo/bl/KYwzWF+jF+sP2Wh4i Wy/Xp+j32OdxNwP0In2SXmmvoJzL9AK9SJ9un8ZU+uhX6uP12+xFTKSX3lO/ Sb/RXhh/N2Tq5+pj9QJ7PqO5SP/3rBCu04fZc+PPRLr+l56vZ9uzGEg3/Ts9 T+9n7xvvwnn6x/pwPdOeQQ+S9c36UD3VnhK/B131F/VBerI9iUQ66Y/qWXqC vSMdIr1Gv1xvc27lVLy7fare32y2H+EwbfZCvbd5yP4rv3Ay/pz6JeZ++4/8 QIu9v55hfmP/mq/i97Kn6xean9k/5ROa7O3ulWY+43ms0hqd15iVjNJGssX5 QLxzfE+d87Rrecd5v94a32fna7QRvB3vpJ/Sy5yHa8N4K95T/1uf6Zyr5bDZ +Xv9pF7qPFS7mk3xfdJP6DOch2iD2ei8Tz+ulzgP0q5ig3ODflif7vwyL3EX 9fpKr1lBsb3Za45yhGO0xOfP17r5PaVwPmmkcrve2+zDpfSjL5PiPeNzwRBy yWGyfr15A2MYx1im6HfEr8e/G3fuZJpebc5mFnOZQ7H+iFnHQhaziBL9WfM5 VvECz1Oqrzc3sI5NbKRM32HuZDsf8SEV+l6znm/ZRwNV+m/m7xziT/6gWm8z 22nlH07Hu+pJ/l0mk8g5nB0/l/QeZgbduZhM5ulXmAMZQDZZ8fMtPm/mKPLI ZzTz9fHmBG5hIrfGz0l9RvzcooQyZrJAn2/ez308GF9Lrf6EuZxlPMWTLNTX mK+xmtdZS52+zXyXrbzPeyzWd5t72MUXfM4SvdFs4gA/cZCl+lGzhWaOcyze QU/gDDrSmU4sJ4XU+DySThq96N75//+T/gMJTuBu "]], Line[CompressedData[" 1:eJwl1XtMVnUYwPEfgoFotu6ZYlJp2bIyV2blJpWZIF5Bo2aEzpLMjBAN4ZXI zFwhkiszambCmpm6MhVTNGumdFleulqWV2zrpn90k8o+v/XHh+fhy8vh7Jz3 PWROmDb6oaQQQoMvNakhlCeHMIsKKkkwmyoeo5rH6dUphB5kksFFdGcRp9OZ dDrRkTpOdgyhjT/4iz+p1Y+ZP3CEVo5So39mfs5u9rKHp/Vt5nts4V22Ml9f ba5hJat4g3l6vfkSL/AiS5irPxV/L+7xdTzJHL3MnMEjTKeUan2COZFCiriX Kn2EOZJhDCeXhH6zOZAB3MSNVOi9zSvoxeVcRrl+nnk+Z3Mu5zBTTzZTCLQj iTL9eHoIJ/iZX/mFUn2/+R37+JZvKNE/ND9iBy3sZJq+wWzibdazjql6g9nI MpbzKlPivTSfZQELqaVYn21WUUGCSu7Xp5gPMpkH4muZpN9pFpDPOMYyUR9s 3s4t3MatFOnXmv24mr5cQ2F875k96EZ3MhivdzDTOY00Urlbb0wL4S6z0iyI 58EW+zHv//bx/O3jtLE021v1FH2WPV/LY7P9qJ6sl9vHaKPZZD+it9MftY/S RvKO/bCepM+0j9CGs9F+SA/6DHuuNowm+0H9VAf32p6jZcd7ZT+g/6tPtw/V 7mC9/Xu9TS+1D9Fqfd+Fv7V/2Km3UKdlcKG/2ZU92l4WaZn00a6K7x1tP89p PRmkZdEarxWLtd6M0fI4rp1gSTwG98X7z0mtjXqtb3zGxGtJinNqz8vadTyj 1dBZO4Ol2gCWaq9wgdaFZdpA3tLWcrF2Ccu1LLZrH3Cl1odGbTBfaV9zvdaf 17Sh/Kj9xCAtixVabrzG2imytRxWaqM40+fvLPK0fFZp+Vyq9eQerZA1WgH9 tRuYrBXzpjaebC0nPmfiPWOtVhR/Fo9BpZZgnTaJh7WS+JzS5rFBK2aO9gQL tTo2alN5Xlscn3laPZu0ElZor9MQrw3NWhmbtWZWx3Nna7xXfKrtoikem21a gkPa4fgs1t6PtGp+037nY+0TtmtzSYufSb7QvmSHNp+uWjcOaAdpSf3/f9F/ nO3gDw== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl01tozmEAx/FnDs1p9trebYZhLac0NkLOxGg1c0qZ5sIcinbIhcNc4Uqz crNJLsyVXi7QSDOHC2ZcsCjNahcYpVCK4UIOnycXn579vu963////fcW1jRs qU8LIfQzLBnC+TEhdNDLIFkZIZRQSS1NpOjmPUPGhjCVFVRzjHPc4iVfSWSG MIcKDnCKS3QxQEiEkMYhGl3Dk9wQHtPN+pwQ/oz3mn7fvsdd1uif9IP6TfsG 7azU+/Q6/Yp9mRRL9Uf6fv2i3cYFFunt+l79rN1KC/P1Nn2X3myfpom5erO+ Uz9pn+A4s/VGvUo/ah/hMDP0ffo2vd6uo5Yifau+Wd9j76aGKfoqfYO+w65i OxP1Yr1c32RvpJI8fYJepq+zy1hLtp6ur9aXxftnCZn6YF4Iy/V5dikljNbf 6ov1mfG6mU663qMv0CfbBUxiqH5HL9WT8fPI4q+d0oudo+yRjOCX3arPcob4 f/G58jN+j/o05w/7e7w+vtkNeqHzc3zWfOSLXa0XOAfiNfMmvm6X6/nOPvsV vXywF+o5zh77GU95Zxfp45xd9kMe8NpO6BnOTvs2HfTbv+P9OK/b17gavwP7 hT483ke+56Z1+vuMs4Kklk1LfC/9ee7/39k/Dpt5xA== "]], Line[CompressedData[" 1:eJwl1XlM1nUcwPEfeIM5Dw5PEFMM/uhQZ2bplpU1NVRCVDQrLCoPJDJmpGlD M+fwnAIeM6+a4jHzngdoaqltmkcpXh1m/ZF2bKXVlr2+648Xnw9vnufht9/z 5SEtf1J2YUwURet8KU2IotjmUVSP+jSgIY1oTBPiiKdFG4+hATHUI5YZ/NY6 in7nFr/yC+/qV81rXOIKl5mqnzS/4HNOcJxSfY+5l53sZhdT9PXmR6xhHWsp 0ReZi5nPQhYwWZ9uzgi/K1wH0yjWJ5gTeZ3xjKNIH2nmkcsIhlOo9zef5gme 4kkm6N3NHjxINx4Kr6V3NNPoQCopvKbfYzYjjqbEU6D/nRxF/3Cbv7jDy/qP 5k9c5wY/kK+fM8/zJWc5w4v6IfMwB6mlhjH6FnMr1WxmE6P15eYKKllGFXn6 B+YcZjGb9xmhv2WWUMxk3iRXzzfH8gIvhWshRx9sDmEQWTxLtv6Y2YdHeJTe 4XF6hplJOvfRNTxPTzKTaUUiCeE1w9kz6xMRSwwD9G+SouhbrnCNq2ToCxK9 rjnc7Gqms9J+xPm/7DG59i5aZ1bYP9Uv6cPs92qdwj2zH9br9Bx7Wni/WWY/ pF/Un7OnailU2Wv1C3q2vYPWnkp7jf61PtTeTmtLhf2g/pU+xN5Ga81S+wH9 vD7YnhzuC0vs+/UzepY9UZvm+4ac1c6xTf+E6Voc/2p32Reey3taM1q4fy05 qh2jTGtJZ60Lp7TTzNKSeFjrxUWtjtlaWwZoA/leu84cLYXnw3nkpnaLuVon irQ3wvnX7lCupVOmzQzvq2uNZb6WyVKtgnitKQu1+9mgbQxnREtisdaN/doB UrWOLNF6cko7TYaWSYXWm+/CtdNd60GV1pc/tD/D2dX6slzrR2N/x03CZ4T2 DCu1/rTT2jM0vPesCvcmXKv2AKO00azWsnhc68crWgFrtWxytGFM0opYr+Xy avhc4W2tlI+1PEq1dyjTZrJBG0O5No9ybR7VWj4faqup0CrZrBWwXdsRfqat Yas2jmPaZ1Rrm8L50grD2dfqwue2tovtWjE/azep0WrZqZVwV4uc1+PaCXYn /P+/6D90q+nL "]], Line[CompressedData[" 1:eJwl1X9wz3UcwPFPF5u7sO9YfIe7sLlcG1uZmcu1le6a0iUUhZpSlM5Uio5U lMSu/MpFGtlIXQkJ0S+xVGyu392lksSSu1S668d0PV7XH4+936/nvtv38/3u /f2sxy3Vw6eclSRJnS8zc5KkbSpJ2tGeLFJk04GO5HA/szx2Bwc7JUkTbXKT JJMZ2jYatL38kU6S00zTtrJL28kR7XumalvYrG3ioNbEXdomXtDW86a2i0na Rp7TVvGitoEJ2sss1ZawXHuaKu0lntDmM1ebw1htAw9ps5mqVTNaW8992jTG xWMZqdUzWbuTK7UhDNPWMl6rYoBWylBtDaO068nX8qjUarlaG0q2luJybRWD tcv4t3OSnKFCW8lArYyftRMM0p6hSOvLV9qXlGnL6RXPSYO2lxJtGV21LmzR NlOsLSFbS7Faq6VQW0SmlkGNtpDe2pOcOTdJWnhAm0G+VsPv2m/crt1Gd20B P2nNjNCG002bz3fat1Ro5aS1eXyufUafuBZytEfZr31EFy2XlDaH3dq7ZGoZ tNUeZru2jZPx3sU51WbH73JW5zLe95rMi61VDNTKWGffqJ/wMzfbD9BKqbc/ EK9Hv8m+v1ZCnf1+vTnOjH0/7SLWxvXqx/Wx9hdqxTxv/6F+TB9jX6T1ZY39 B/qP+o3x+rVCVtvv04/qN9gXaBdQa9+gH9FH2y9kATXxXug/6O9bXzNv5XXO Mbf2Hh2yvmV+m3fIMqf1w9Z9cR1xjXQ0F+hHrR+bP+FTOpsv0ZutX5sP8Q1d zdfqJ+N1mI9xnPPME/RT1l/Mp/iVPPN0/bT1L/Pf/MP5cXb0P61nex2taE1B fP71Fms7c3uyKIp7hp7EtZnT5NJP36O30nuYe5IXn1X9C71NvJ/mQvpwcfx9 4wzF39dcGo+lXG+JM6eXmyu4lMF6ls9wjj4k7g1cxRV6Tz0d5948kuvie3p/ vZs+Ls5RnDGu0Sv17vpE8yTuYIQ+Rs/X7zbfw72M0qfovfWZ5lk8GOdJf0Qv 1B8zz+PxeI64B+jF+lPmRSzm1rjP6iX6CvNKnmWivlMv0+vM9axjst6oD9Jf MW/kVar1w3qFvt28gzfiWuO+EPc4fbf5PfYwXc9whivjs2M+QGOn//8P/QcH 4+pe "]], Line[CompressedData[" 1:eJwl1Xt013Mcx/Hvoo4uS6bdqsU6RwhR5Og2Vm2VSYqQDmkza61tuq50RxGn CznH3XEtUi7H3Tnujrujm0sh16KObW1ptSU83scfzx6f72u/f1af37fc4uqx VSlJkjzpj5pOSZKuDGUqS9nqoq7qphzVpyVJUXqSdMpOkgvZkSN5LJfzSFaS FPIwC/g3b+NeDuEfzOce3spvmMevOJhfcxk/4AC+x/58n0v5As/lc+zH53kL H2ZfPsg+fIg38w725nKewdt5E+ewF2fzVNZwCUvZkyU8iddxMceyBy9hLsdw Ec9ndw5mDvO4kKezC3sxm6dxAbOZwUymM4vz2YZpPJrHsTXncX+mv2M2MJWN vJE/sR13si1/5Fx+wTb8jK35OefwDbbia0zh66zhOv7T2R3gEa7lbPvdbPF8 F5u5hrPsS9jkeREPcDFn2qvY6HkqG1jJGfYJrPM8nrW8itPtI7jXcyH3cDin 2ftxt+ezuYvn8AZ7D/7i+UT+zFxWx73jTs+p/IEdWRX3LiNJdnhu4XYeZqV9 jb6N34tTNdK9HaGNcRftzT5X4TzcVqgNcSfth+xTnAtsw/RM3Fn7QXu581Db EK133mZvsk92zrddoKedt9oP2Mvi3tjy9JTzFvtf9uvjHtkGaZ3zZvt+e6nz QNsArXXeZK+1Fzuv1Iq4p/rSvsxnlqrEc73P7FOdGtWgIj9rG3dHx6iD2muU vRtz1FUnqLtG28/kWeqtvuqjMfH7cqjyVaBhutQ+jpfrMl2pKzTOPpnlKlOF psTP7PM4P+61FmqBxttXcpVW6E6t1gT7o3xMj+gJPa6r7S/xZb2oV/WKJto/ 4sf6UJ/qE02y7+B32h53R9+rxF4bd1Z/ap/qVWpPfCdT9K/no9hKZfbj2Tm+ v/Hdju+1yu09eXK8R+Ido1NUYe8f7zadp0EaqEr7RRylIo3Wxaq2T+S1ukbF mqRp9umcEWfN0sx4jn//eIfGezHevfGejZ/b7+V9ukcP6H7VxF3mBq3Xs9qo ufa3+Lbe1Lt6J95J9s3cok3apq3xbrP/xl36Vb9rd7wj7Qd5SE1qUXO8a+3t 1D7uo1LVQWmqS/v//6P/AOaW8NE= "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl1X1w1wMcwPFvcXEhD0dsTrWHRms50vJwWnGihbv2EKVyuC25YyvH2cid TQ97bmUtOVJxTMXZJE6TUEmoJNvEOYbuPMWlho7O63P+ePX5ft7367ff7/v7 fn+/tLvKC8v6JUnS5p/2oUmyOCVJlplz05LkcHqSdA1Lklcdt9PBcPsferf5 ln0zneTYz8tIkq/Nbfbt7OAS+0i919xt38Nextjz9INmj/0LDnCFvUD/yey1 f8f3XG0v0Q+Zv9h/5RAT7A/ph80++5/8xXX2Or3PTLzefvRnkv0Z/Zg50H4K p3JTvE/9uHm2/RwGM8X+vt7fcw6xD2UYxXqXPkC/yD6CbKbpP+oD9dH2yxjD TP0ffVC8F/s48rhDPz0zSc7Sr7ffEK+REj1dH6xPsRdQyBw9V0/Vb7PPiOfm Xn2SPkQvsZcym7n6DD1dL7OXR+MBvUzP0ivslTxMhV6lZ+vV9sdZwHy9Rb9Y b7A30sRj+ov6aL3VvoIn4//E9aGP1Vfb17CWGv0T/Sp9nX09G2jQv9Hz9I32 19lEc1xv+rX6Fvs7bKVFHzDcOdN32j9kV/xtfb02mWZe85glZoZZYO7zmCrH 1Sy1Z5qF5mfxXh0vYFlc52aRuV9f6HgRT9izzGLzc32x4xpa7BeaU80uvdZx Hcvj2jBvMbv1escNtNpHmLeaPXEuHTexwp5tTov7QR/pOIfp9vPNG80v9XbH B8xUM4WV3vN+PtY+4mTtpPj72j7e097lqPN4hKXaXt7U3qBX+5bGuEd5RXuZ PdpuauO5eV57jk5tMwu1XTylreQlrY0qbSfN2hJateU8qu1gUZzTON9aNZXx ncF87ZG4PrVyHozXzv3aPGZpM5mnbWWOdjeTtXzu07ZwezyWy+P64x6tk2Kt iEwtg9K4Rpms5XOmdgZ3xrlhgjae4+7bf5mlbWKslsvP8T3FdG0jOfGZ0aN1 M1XriPtYS2O7to2C+K6J70vtXDq0dm6Oc88g7TSe1VaRr23gRO2EuFe0eiZq 6zjmuvibSq2Ca7Q2ftd+Y7ZWyjjtBQ5qP1CkFXJlfLZ8FddXfKdq48nV1sY1 pH3KKC2HS7XV8RlrH5CqpTBKWxWfgfZ2fBd7rX1kaU/HOYr7kaPaESbGPeW3 Zs0FrhO/O0000kA9ddRSk/L/b9N/IlcQeA== "]], Line[CompressedData[" 1:eJwl1XlMlgUcB/BHqVzZbeWIEEwJqwkqZR4dE4pWCJaFpqYcrgwonWdLA7dW eWwp4IEIdBm1TrvUjpXara5T3bIyK69ah5Vb3tnnt/748H2+X+Dl5Xnf53m7 V04aPrFDkiTP+tKQmiT1rEhPkuzMJDl0YZIc5iBHOUJhVpL8K49zjA49/DI3 2C+Q6aSRQTeK7LmyDzn0oy/F9nxZwBCu41qG2UvlCG7lNkZys/0uWcUEaqjm FvsseT8zqaOWUvsCuZBHaKA+Hsv+hHySx3mKFYyyvy5X8RprWM0Y+8fyEz5i IxsYa/9Gfss2tvMdZfbf5R/8xp/so8Ke9HS+OK6nyI6Mt3eR53A253Eud9gv ktlkcTG9mGAfKAcxgCsZTJV9qCymiGGUUGMvk+WMo5IK7rFPkVOZzHSmMcn+ kHyYB5nLnPgZ+zLZTBMtLI/ftz8vX+A5XuLFeDz7u3It77Ceddxr/1J+xRds YTP32XfJ3exkL3uYZT8gD/IPhzlErf0UOnMyp3Eqs0mnW7wf45x097p4ny50 XB//g95bjpbb7Q2OG2nWc+QY+b19kePFLNdz5e1yh32J46W06H3kWPmDvSke m1a9rxwnf7Q3x2PQpveL10L+ZG+Jn+VRPU+Wy532tth4TL9MVshd9ssd96dS z5Qlco/9Vce7ZbGeEX/Ldfu5/hmfcr399HjO9g/1D3ifAvsR57HR/rb+Fm9y jf1n+wL7K/rLrGSwfat9vv0Z/WnaucL+Xrxf7G16a/xv5NlX2h+wL9Ib41yT a2+119nn6XOZw6X2efaZ9tl6HbVk22fYZ9in69OYSg/7ePsUe41eTRUZ9pvs E+0VejllpNmvslfbR+ojKKWr/RL7nfZifShFdLF3jevFXqDnM4Qz7CfEtWQf qA+Ic0Bn+1+u69H2XD2H3nSK91Pcz+xZes947qTYN9mH29P080mN+6r+hr1E nqWfGX8z7r16u/1G2Uk/iRM5oDfaC+Uxj3k0Xlf2x3m058v9+t/x/Nin322/ Wv4SrzV7+VUfZR8kd8RzjusjvqcX2vvLrfoWNsd7Vc+L+7ncpG9kQ1wjembc 6+V6fR1r2aan2HvJNfpqVvG13tE+2XG7z51lPn+aWMoSFrOIxtT/P5/+A4bs C+8= "]], Line[CompressedData[" 1:eJwl1X9wzwUcx/GPLjGKUHdWqPl5/cT1Y1iM1KmIGiEqzsaEbaJLRZlU7qzS XSRptlmzzYY0qoVczY9cFuqiX3elH1fm112l+qPo8b7+eHh9Ps/vvruP7/fz /S5tSkFWfrMkSar8U3dFkqxKTZJhPZLk/G5J0pz30pKknuIrk+QqLtBa8JHW QInWmzStK/u1Rsq0G7hRu4nD2hHKtXSGaXfwvXaUCi2DCdpEmrTjVGqZ5Gn5 /KGdoVobSqG2iLPaOWrid/OKtpyWXZMkhQ3acNZplbTXOrBJG0W99j6dtM5s 1kazX2ukp9aLOm0c38W100fry1ZtIr9pvzNAy+BdbRLNu3vtuE27nXotm45a KiO1UWzTcrlGu5bx2v3s0GYySMtkipbNTq2Ae7UsZml5fKjNJUebymPaPBq0 eUF7nEJtEbu1+SzViliqFbFXW0ixtobl2gr2aYt5S9scj2klfKItoUHbRZVW TaNWxGHtCG/Ha8kBbRnHtCa2x/+VQ/Ee8o/2L3viWvhcW0lb9+jFHIyf5Qtt NbXugQ1x/7HF46U23WbbX+Iao7HWeT+bY3/Vy6JR7ry/nWqP6eWO3wzOB9hp tkmvcLyOCucZNjfuV73ScVU85vwWO92eiNfA8XoqnQ+0D9uTeo3j2niO80F2 hj0V96vjjVQ7z7Qz7Wl9sOMhzHKexyY2UqhdwqW0owPteZpmnMdZr2Niz9kF 9pQ9zXFOcoIn9W/st3zJ13wV94r+sd3HbvbGexL3lb7VvhPvKVuo49F4PW05 JZRRyhx9mX2ZF3iJF5mtL7BP8QTz41rIj9fKzmAa08mN+1wfa8cxmvsYEz+n D43PGYO5lSHxPL2P7ct19Ob6+J16Z9uFy+jE5eTorWxrWpBCy/jc6X/5fP8d 30X8yRkm6z/ZnznKj/zAQ/oh+xmfcpADPKB/YHeyjR1sZ4JeY2upYj3VjNdf s6tYwUpeZaz+nH2eZ3iWxYzR59i5FPAIs8nSJ8X1xjXE9fEg9+gj7N3cyXDu YqTeP77PuJl+pDNC72l70Y0edI/nxOfStuMi2tImvuv11vbC+E6mFSlc7TO7 1t+cMkopYQ3FvMFqXk/9/2/Tf9+1ELo= "]], Line[CompressedData[" 1:eJwl01tMjnEcwPF/Uxv2Zg6l3rxNb2qrsDlkC7U5RW7UurC4k80NaqNyrhCV 0yaucGGEzYbmBnfpEjMbbpCyOWSLlbGJmM87F999nt/v4nn2nOK19dV1SSGE AXVHQ7iqG9khzM0JYcacEF5xOl8zjbviIczkG3M6+5nB3faFHDQX8B2L2GBf yvfm5fzAMjbaV3LIvIGfWcUm+1oOm7fwC7dyj30jR8wNHGUT99p38Lu5nT/Y yX32F/nTfIFjvMT99rc5br7FP7zDA/YPGdjLJPbxIF8wmc+Zwpc8xE+cyI+c xCE28xcjHGMqf7OFqXkhTGWE0ziFrcxhGmcznXEe5mJmchGjLOYRrmWM5czm Oh7lJuawhnFuZht3MI/bmc+dPMYWFrCZhWzlcXZxHs9yPs+xnde4gN1cyOvs 4H0W8x6X8AE7+ZglfMSlfMITfMtS9rOMAzzJUa7gCFfyG08xOT+ENZzAcqbw NDNYkfgeuZ6ZPMNcViaeI6sS58v1jh336KZ5FesS17NfnTi36s2XffeTNRwL 4al61KUGbVSJsjQ+yz2oV1fUpm2qUJEi+poVwjPd1Xk1qUbLFNNf/9mg+qL/ /7t/8zqHow== "]]}, { GrayLevel[0.5], Thickness[0.0035], Line[CompressedData[" 1:eJwl02tozXEcx/GfIlPuPFhtK3uwzZrZJpdYuYQ0C7nFXAs1SyxW9gBRmlM8 QEtiLg9mWxKTYVsU21HUjkyc8UCdrTyYS7ltpRheJw9efc/nXed0+ndO5o7K NfuGhRAS3M8K4R6v+Ma47BDyKaWCCA1E6eMvGTkhFFNGNedo4SVfGDM1hDxK KKeGejpIMERarvcxJd/nF4UQdzcUhNDodRM99hW32y3Ti2aEsNF9YV/W091V 9kpW0GWf1FPdpfYSFvPUrtYnu8X2POYStXfp490iu5ACHtmr9dFujp1NFg/s +XqKm2Gnk0arnacPdyfZE5lAi52qB3eUncJImu0R+u9pnuX0EP4wxA39e2EI P/VBe4AfNOkJfUD/ZH/kA/V6TP+q99m9JLiqt+uf9Td2D3Hq9Ea9X39ux+ji vF6rv9ejdicd1OrH9F693W6jldP6Xv2d3mzf4ian9E36W73Bvpb8jkT0Zfpr vc6+yAWO6zP1bv2sfSb52RzVM/WYHrFPUMMhfaz+TD9iH042qvVfnusTvco+ wH6q9H79sV5h76acSj2uP9S329vYyh69U2/T19vrWJt8j96s39VL7eWUsFO/ pN/WF9kLWcCW5O9Nv67PsWczi836QX3QvZP7/3/3D5RPoD8= "]], Line[CompressedData[" 1:eJwl1XlM1nUAx/HfU3ngkWKReZBTI3WJHA6PzJmamSkdmlJ5gVuHuqmVbd7m Vbnuy45l55YIWmBZCaK2JHWNiJzBo5KaUSMl54yIFdnru/548WHv59nDw/P7 Ps/Te87CyQtiURTl+5E1MIo+T4miAxlRtCQtipYybFAUDad3ahQVuH2Ztpwx 2lj66sX6Zu1tJmnZpOg79SKtmGlaDv30XfpX2n5ytTwG6GX6D1o187T5XK9/ qddrv7FYe4xUvVz/R2thlbaaNP2Q3ik9ijrzlLaRDL1C76P15SXtZQbrVXqW NoS3tM1k6Uf0W7UJfKhtYage16drMyjSisNrpNfqC7SFlGiljNBP6Wu0tezX yhmp1+mvaK/yrVbJKL1e36LlU6PFGa036CVaKT9pp8M10M/rFeExOKs1ME5v 1E9qp/hTa2K83qxf0P4g8trFmKC36K1d+za009ozUY/RTevOlVoS2VorBmqp XKP14g4tgVHaTfTXBnCX1pHJ2hQytcFM0RK5X3uAG7WRTNWSWKIt5RZtPDnh ufC09gx3hsfmXi2ZNP9jOknh2mZ6vjbf/arddp/7XapdxlX6Vr1Gn6630lrT VS/Q4/oMvY3Wlqv1Qv2oPlNP0NrRTd+mH9NnhddM60B3fbt+XJ+td9Qup4f+ kV6r5+qdtM701D/Wf9Tz9EStC8l6kX5CnxPeS37fwclwrsgMZ5uY+76gv8iz PM9zXGQlq1jGCpbTwjzm8yBzeYi/yeEe7mYaU2nmZsYxmrGMoYmMcD0ZRDpp NIYzQS96kExPLtCeDrQN54wEzvOX89hMI03hzHJOr7O/hDPPz5ymQf/eHqaS Kr7jjL7X7mM3eyijXt9mt7OVQgr4VX/DvskmXuc16vQn7JOsYwPrw9/WH7WL WcQjPBzeY3quzWMms5nFCT3b3s5tTGIitfoNdgRDGc4wjun9bH+u5TpSiIf3 nk0ikSvoQrUes5fwr/MR2Yv2iP67PccZGjjL4XBW7XFqOEqcKv2gPUQ5B/ia Sn2n/YwdfMonVOjv2w94h/d4l2/09XYDa1jHWg7qq+3jrAif16yk0GfOPt85 e9lDGbsppYRdfJHy/3fTf9L0Ifo= "]], Line[CompressedData[" 1:eJwl1WtMV3UYwPGTqG2V2rKAsEIQXAKSEakzNXOGZC3JrCVWL0DLStEXZZe1 heUKyVpLKrcuYrNGReWUhMrSwADRdVGrTRM3b6ht3tos0VWfZ7348uP5cMbO /5zfOf+sioUzqi5IkqTBjzEFSfJdbpKczU+SMyOT5MXrkuQB67jCJLlJ49Xo mJf4g3yK+VaVaB1fw+fwO83TVaYNvJnP4/eZZ6lcX/EuPp9XmCs1R9/yvXwR n29eoCq18pP8cb7Y/KSeUjtPGeV3Xm1eoufVxVP5s7zW/LKW6wc+glfzOvMb elM7+Hi+lL9nXqV6/cqn8xreYP5IH2s3r+DL+TrzejWpmz/BX+Mbzd/EZ9J+ XsPreLu5Q506zN/mK/lP5p/jXHSMf8bf4bvNe/S7jsc94vX8oPlQ/A+d5rv4 Gn7cfEIndYb38Ab+t/mseiPeyxt5H9c1RX31Dx9wfZKs5ZeYB2ig+piH8iZr qjlN6epvvoG3xN/NWcrWReYSvtGaZ85XQfwv8yy+2VpsvlGjdVncb77FOtF8 syYp1fwc77SWmm/TNGWYX+fbrTPMd2umronzietozbQWF7G4P47dzyodM5hd rqFxz/gBPodfwVKVxb/gB/nc+KwsXdmxn/kh/hC/kmVoGG/mh/nDfAi7Sjm8 hffwefzqOBfl8i/5Ef4Iz4xz0fB4LvhR/ij/Oq6fjplXW3fENeJFjn3MWs9W KZOX6152j+rYCg2JZ053sNu1hFUrLY7VZHaLqtgCDWYzNZaN0WxWrkFxjVXI RqqUTdXFrEw5bFjcS1asC+MdoIy4RrEfWJZS4lx0KRsUsYH6156bxvuzfjpv X56LeCk/77qc01F2RH/xEn6anYpnlP2iP/kUfoT1qI216gSfzLvZXq1ln+sP PonvYjv1bjxv6uETeRfbqlq2TAfiHcE3s03xDmKLtY+P4xti38R7jFVqDx/L G9knuouV6Tc+mr/PVmsim6CdvJivZG8pn+XpR17EX2WvKJ2laRsfxZeyF9SP 9VUHL+TPsKfj3eCanlIbL+CL2ELtY93axPNiT7O52s62xf7j1/L72ezYs6xF zXx47In4TPqQfaD1PCeeUzY13rmsVp/y7Hiu2QQtYzXa6t73+q5pGuF33zud 6lC7vtcWtak19//vpv8AEwUgeQ== "]], Line[CompressedData[" 1:eJwl1XmQ1nMcwPFvW0SHK8e4pbZta69i3MZtxm1yz6BaUxTttqVGKCOK0rXL bm3u2lC0JrSItkNFW7vV1hDSJImhU8mWxOsz/njvez/v59hnn9/38zztC4t7 FDVLKVX5sSIzpTrUZKdUnZPS+PyUJmAcJmEi6rqlVMYvohTleAkr9Xd4Jt7G u5iFBv0z/hzzUIv5WK038CrUY000NOo/8mZswhb8hHX6Xv4Te/AX9uFrvWVB SkfgcLTCkVivn8Kn4mScjtPwnZ7LechBAfKxQb+cr8BluApXYqN+G9+OHrgT d2CT3pcfRB/0w0PYrA/jx/EYnsQT2KKP4/F4ARMxAVv11/kNvIZpeBO/6h/w h5iDufgIv+lLeRmW4Ct8iW36ev4W3+D7+F+xQ/89bo/Hxozt2KUf4n/xD5qZ E/7AsTgOx+B4tIv3Hh2RiQ7IQifsw/m4AOfhIlyIJlyPG3AdbsKNOID7cD/u RS/0xEEMRAmKMRiD4jXiGTyLkRiNUfFau6dUwZNRjkpMQYY+naswDWtzUxrg nLTXz0ZWnvMX74lepHfQOqKzXqtv04v1TK0TsvUF+nZ9oJ4V90UXfaG+Qy/R s6Ohq75I36kP0rtqOYG+WN+lD9ZztTzk6l/ou/VH9XytIG7Tl8T10IfoS/2+ DHvMe7EO57pPO7wSu2SeyvX8clw/fQzXmZ/j5fx8XFt9aDxX/L04S/H8ca31 B3ixuTcv4kI+Wr+Va80383y+hY/SL+V55ov5U76E2+pduMbcmedyNrfRT4oz bT6B5/CJ3FpvwdXmDJ7NzbmVvtu5nGXeyTN5V+y2vpHfMm/gGfxD7L++IvbH vDx2iOu4pf5J7Ja5hl/lj+OzQp/BU83TuZKr+DC9jCvMk7icS7mF/hSXmYdz KY/g5vojscvm/rHf/DBn6PfwWPNdPIbvjj3Tr+XR5qt5FF/DST+HR5q78dPc PfaTz+IRfAYP5zP5ELeNzxluzcO4TewyH3BehnITD+H9fJB/4UH8M5fwVv47 zhIXcSMP4LV8gBdxf17A/Xgh7+dq7svvcR+ezU1x7riQK7l3nMf4nOYp3Isr uCdP5vd9vzT6rlmD1ViFBtRjZeb/30X/Aa3TLnE= "]]}}}], { PointSize[0.021], { Point[{-9.42477796076938, 0}], Point[{-6.283185307179586, 0}], Point[{-3.141592653589793, 0}], Point[{0, 0}], Point[{3.141592653589793, 0}], Point[{6.283185307179586, 0}], Point[{9.42477796076938, 0}]}}}, { AspectRatio -> 1, BaseStyle -> {}, Frame -> True, FrameTicksStyle -> {}, LabelStyle -> {}, Method -> {"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange -> {{-10, 10}, {-10, 10}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}, TicksStyle -> {}}], VisualDSolve`VisualDSolve`NullclinePlot[ Pattern[VisualDSolve`VisualDSolve`Private`funcs, Blank[List]], { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := ( VisualDSolve`VisualDSolve`NullclinePlot[ VisualDSolve`VisualDSolve`Private`funcs, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, VisualDSolve`VisualDSolve`Private`opts] = Module[{VisualDSolve`VisualDSolve`Private`f, VisualDSolve`VisualDSolve`Private`g}, { VisualDSolve`VisualDSolve`Private`cpp, VisualDSolve`VisualDSolve`Private`shadedQ, VisualDSolve`VisualDSolve`Private`stabQ, VisualDSolve`VisualDSolve`Private`stabCol, VisualDSolve`VisualDSolve`Private`showLines, VisualDSolve`VisualDSolve`Private`shadmethod, VisualDSolve`VisualDSolve`Private`nullcSty, VisualDSolve`VisualDSolve`Private`nregcols, VisualDSolve`VisualDSolve`Private`bStyle} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`NullclinePlotPoints, VisualDSolve`VisualDSolve`NullclineShading, VisualDSolve`VisualDSolve`ShowEquilibria, VisualDSolve`VisualDSolve`EquilibriumPointStyle, VisualDSolve`VisualDSolve`Nullclines, VisualDSolve`VisualDSolve`NullclineShadingMethod, VisualDSolve`VisualDSolve`NullclineStyle, VisualDSolve`VisualDSolve`NullclineRegionColors, BoundaryStyle}, {VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`NullclinePlot]]; If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`stabCol]], VisualDSolve`VisualDSolve`Private`stabCol = { VisualDSolve`VisualDSolve`Private`stabCol}]; { VisualDSolve`VisualDSolve`Private`f, VisualDSolve`VisualDSolve`Private`g} = VisualDSolve`VisualDSolve`Private`funcs; If[ Or[ VisualDSolve`VisualDSolve`Private`showLines, VisualDSolve`VisualDSolve`Private`stabQ], VisualDSolve`VisualDSolve`Private`cp1 = ContourPlot[ VisualDSolve`VisualDSolve`Private`f, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, Contours -> {0}, PlotPoints -> VisualDSolve`VisualDSolve`Private`cpp, ContourShading -> False, ContourStyle -> Prepend[ Part[VisualDSolve`VisualDSolve`Private`nullcSty, 1], VisualDSolve`VisualDSolve`$VDSThickness]]]; If[VisualDSolve`VisualDSolve`Private`showLines, VisualDSolve`VisualDSolve`Private`cp2 = ContourPlot[ VisualDSolve`VisualDSolve`Private`g, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, Contours -> {0}, PlotPoints -> VisualDSolve`VisualDSolve`Private`cpp, ContourShading -> False, ContourStyle -> Prepend[ Part[VisualDSolve`VisualDSolve`Private`nullcSty, 2], VisualDSolve`VisualDSolve`$VDSThickness]]]; If[VisualDSolve`VisualDSolve`Private`stabQ, VisualDSolve`VisualDSolve`Private`stabPts = Check[ VisualDSolve`VisualDSolve`Equilibria[ VisualDSolve`VisualDSolve`Private`funcs, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, VisualDSolve`VisualDSolve`ContourData -> VisualDSolve`VisualDSolve`Private`cp1, VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Equilibria, VisualDSolve`VisualDSolve`Private`opts]], VisualDSolve`VisualDSolve`Private`eqFailed]]; Show[ If[VisualDSolve`VisualDSolve`Private`shadedQ, If[ VisualDSolve`VisualDSolve`Private`shadmethod === VisualDSolve`VisualDSolve`SumOfSigns, DensityPlot[ Dot[{2, 1}, Sign[VisualDSolve`VisualDSolve`Private`funcs]], { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, PlotPoints -> VisualDSolve`VisualDSolve`Private`cpp, PlotRange -> {-3, 3}, ColorFunction -> (GrayLevel[ VisualDSolve`VisualDSolve`Private`h[ N[#]]]& )], RegionPlot[{ And[ VisualDSolve`VisualDSolve`Private`f > 0, VisualDSolve`VisualDSolve`Private`g > 0], And[ VisualDSolve`VisualDSolve`Private`f > 0, VisualDSolve`VisualDSolve`Private`g < 0], And[ VisualDSolve`VisualDSolve`Private`f < 0, VisualDSolve`VisualDSolve`Private`g > 0], And[ VisualDSolve`VisualDSolve`Private`f < 0, VisualDSolve`VisualDSolve`Private`g < 0]}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, PlotPoints -> VisualDSolve`VisualDSolve`Private`cpp, PlotStyle -> VisualDSolve`VisualDSolve`Private`nregcols, BoundaryStyle -> VisualDSolve`VisualDSolve`Private`bStyle]], {}], If[ VisualDSolve`VisualDSolve`Private`showLines, { VisualDSolve`VisualDSolve`Private`cp1, VisualDSolve`VisualDSolve`Private`cp2}, {}], If[ And[VisualDSolve`VisualDSolve`Private`stabQ, Not[ VisualDSolve`VisualDSolve`Private`stabPts === VisualDSolve`VisualDSolve`Private`eqFailed]], Graphics[ Append[VisualDSolve`VisualDSolve`Private`stabCol, Map[ Point, VisualDSolve`VisualDSolve`Private`stabPts]]], {}]]]), Options[VisualDSolve`VisualDSolve`NullclinePlot] = {BoundaryStyle -> { GrayLevel[0.5], Thickness[0.0035]}, VisualDSolve`VisualDSolve`NullclinePlotPoints -> Automatic, VisualDSolve`VisualDSolve`NullclineShadingMethod -> Automatic, VisualDSolve`VisualDSolve`NullclineShading -> False, VisualDSolve`VisualDSolve`NullclineRegionColors -> { RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]}, VisualDSolve`VisualDSolve`ShowEquilibria -> False, VisualDSolve`VisualDSolve`EquilibriumPointStyle -> { PointSize[0.021]}, VisualDSolve`VisualDSolve`Nullclines -> False, VisualDSolve`VisualDSolve`NullclineStyle -> {{}, {}}}, TagSet[VisualDSolve`VisualDSolve`NullclinePlot, MessageName[VisualDSolve`VisualDSolve`NullclinePlot, "usage"], "NullclinePlot[{f, g}, {x, xmin, xmax}, {y, ymin, ymax}] produces, \ according to the setting of its options, the graphs of f = 0 and g = 0, a \ shaded background that indicates the four possibilities for {Sign[f], \ Sign[g]}, and dots on the simultaneous roots (the equilibrium points). It \ works only on orbits for autonomous systems of two equations. At least one of \ the options Nullclines, NullclineShading, ShowEquilibria must be set to \ True."], VisualDSolve`VisualDSolve`Private`cpp = 20, VisualDSolve`VisualDSolve`Private`shadedQ = True, VisualDSolve`VisualDSolve`Private`stabQ = False, VisualDSolve`VisualDSolve`Private`stabCol = { PointSize[0.021]}, VisualDSolve`VisualDSolve`Private`showLines = False, VisualDSolve`VisualDSolve`Private`shadmethod = Automatic, VisualDSolve`VisualDSolve`Private`nullcSty = {{}, {}}, VisualDSolve`VisualDSolve`Private`nregcols = { RGBColor[0.596103, 0.984298, 0.596103], RGBColor[0.678396, 0.847102, 0.902005], RGBColor[1., 1., 0.878399], RGBColor[1., 0.713706, 0.756905]}, VisualDSolve`VisualDSolve`Private`bStyle = { GrayLevel[0.5], Thickness[0.0035]}, TagSet[VisualDSolve`VisualDSolve`NullclineShadingMethod, MessageName[ VisualDSolve`VisualDSolve`NullclineShadingMethod, "usage"], "NullclineShadingMethod is an option to NullclinePlot that controls \ the algorithm used to shade the regions. Possibilities are Automatic or \ SumOfSigns."], TagSet[VisualDSolve`VisualDSolve`NullclineStyle, MessageName[VisualDSolve`VisualDSolve`NullclineStyle, "usage"], "NullclineStyle is an option to NullclinePlot that sets the styles of \ the two nullclines. Thus it must be set to a pair, the first entry being a \ list of graphics primitives for the x-nullcline, and the second a list for \ the y- nullcline."], VisualDSolve`VisualDSolve`Private`cp1 = Graphics[ GraphicsComplex[CompressedData[" 1:eJxd23m8zXX+wPGrRalM+LWoKEtli3ZUt/mc1JiaNktNCo1l+JGKX8VQWRpk KSKaUAyTvRQycbm/vrRxrhKSxC9kyQjZ10q/W32fn3mcuX/g+Tgc3/t+eX/d e873W7lN5ybtTsjLyzt2Yl7ezz/339F43oX91yVNin8s/mXSYO5LRzLVV0fn 9f2yftuly6OfGnv9vtO++ih6Z8d+W8c1nBddZvGr14TRz0ZXr9+y/N3jZwce fdKU0zeX+iD6wkcuem7c+8uiV357+8kz3l0VfdZFp344+IK10X9s+kG/Dt03 RDv+p89vXTCl7OR4/Oz42fGz42fHz46fHT87fnb87PjZ8fPHN2eqvPbQpuhd LS88odx5W6N/0/2Hr/ss3hZ9+YtrF+3u+m10ozfmTXjw4l3R//PR3575ZOXu aPOZ+d3O4mf+azAfNh82HzYfNh82HzYfNh82HzYfNh82HzYfNh82HzYfNh++ rcv8K8Zl9kY/0HPa+M9f3hfdafCoMqV3749++uUBfW5peDB6yMRue54aeyh6 3Kx2rd4+cDj6rXfvWf7t7UejFy79+RM6Fq3PquH3/eudcm/FPqwP68P6sD6s D+vD+rA+rA/rw/qwPqwP68P6sD6sD+vD+rA+rA/rw/qwPrxizVUz7z/2ffSm rZUrDW/8Y/T+fWWGLZl6PDrv148M63t8/+gKj68sjH1ZX9aX9WV9WV/Wl/Vl fVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6s76Az+7X5 sPSHsS/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+ rC/ry/qyvrFX2pf1/a9LFtRtPHtp7Mv6sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sb+yV9mV976rYo/+jtVbEvqwv68v6 sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6xl5p X477O3Vk5zk9V/17f1PH/U0d9zd13N/UcX9Tx/1NHfc3ddzf1HF/U8f9TR33 N3Xc39Rxf1PH/U0d9zd13N/UcX9Tx/1NHfc3ddzf1HF/U8f9TR33N3Xc39Rx f1PH/U0d9zd13F+97G9qfX95mk+/iH1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1Z X9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6s79j//fmJ18W+rC/ry/qy vqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/rGXmlf 1rfNrdtqP/vE+tiX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf 1pf1ZX1ZX9aX9WV9Wd/YK+3L+o7sWOKM9ps3xr6sL+vL+rK+rC/ry/qyvqwv 68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+sZeaV/W91CdM0sMen5T 7Mv6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sb+yV9mV9mx2ocOj1a7fEvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sL+vL+rK+rC/ry/qyvqwv68v6xl5pX9Z3fkHNHcvWb419WV/Wl/VlfVlf 1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/WNvdK+rG+F 3vU37h2wLfZlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9 WV/Wl/VlfVlf1jf2Svuyvr1uafj5WVduj31ZX9aX9WV9WV/Wl/VlfVlf1pf1 ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6s78ZS9xTVW/tt7Mv6 sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6s b+yV9mV9G3zaOnmg787Yl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1 ZX1ZX9aX9WV9WV/Wl/VlfVnf2Cvty/pO/Pnlysu+i31ZX9aX9WV9WV/Wl/Vl fVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6sb8lfDnx3 7Mv6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sb+yV9mV957zwu+KN3hP7sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL +rK+rC/ry/qyvqwv68v6sr6sL+sbe6V9Wd92j3182/4Re2Nf1pf1ZX1ZX9aX 9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1jr7Qv63vO vT8Pbl/sy/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+ rC/ry/qyvqxv7JX2ZX0X11v723Nu3B/7sr6sL+vL+rK+rC/ry/qyvqwv68v6 sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+sbe6V9Wd/uv1zPfCD2ZX1ZX9aX 9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9Y39kr7 sr41ftx29XXf/Lsv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+ rC/ry/qyvqwv68v6sr6xV9qX9V274dE3i+YfjH1ZX9aX9WV9WV/Wl/VlfVlf 1pf1ZX1ZX9aX9WV9WV/Wl/VlfVlf1pf1ZX1ZX9aX9Y290r6s7wvvHaze4oVD sS/ry/qyvqwv68v6sr6sL+vL+rK+rC/ry/qyvqwv68v6sr6sL+vL+rK+rC/r y/qyvrFX2pcn9rrowJ9nfh3vtzKvPr1bv9b80rnxfqW8tU2TqQPfjvcrnVN6 04qCBTPj/UqnXrrs4cvzZsT7lT7dfGz1nc2nxfuVxpw19bPxTScnD9VfPGdA qT3x/iXz29N3WOUqvSYk5tdt7YDRLzUck5jfoi739/qs8MXE/K6qfmX+yDsG JvH6taUNrtzwYI/E/MZPb37y2CNNEvMb9vdaF0xs1ynOb0ntvW2H39orbCjf vmu7Kt/H+3XMs9HgTh1PnDMoznNl/+Wb3v/ri3GeO7YcKljxxstxnq2emVe1 fIdXw7Rtt1W9dc6mMHnD4F2nbH0nKdOyoE/N334T1lTtOvKfk2YnFXpeP+7l odvD6a93aVCt5FtJuQtvnNK3YGfIX3zBroHXTE+WPfeH7WOKdodT7m08Y3Ob ycmJDb6veG3f4u/rDp24ccf28cmoR9YdGlt+f3it13OVJ101Kpnw1tUj35t4 IKz6XdGChXnDkjp/KNNmWI3ifydd1xcM3PxMUvPlFquemHo4tGp1x0krO7RP 7l4+pUW/KkdDq8Zt1t6/8M+hY8vMwRGjjoXlr/S4ddSTPcOpvS9d/sNZP4Rm 3We2++SmwWFl7d71a434MbTuNaZ26xojwowqne6cV/qnULnapbUOTxjl88+L 9xP+8tElP96fl37E+9F+fbww936aLoW59190KfzP+y3q9TtYeFM2G89H16V2 /vG48w87/9RP7fzjzzv/ePzXv79/4X9er+/3Ox95fucjjzsfeT7nI7ZfbL88 n/1i+3V9avvlcfvl+ewT2ye2T2yf6qa2Tx63T/4+++TztU9+v/1h+8P2J3fe eZlcN8rPvd67UX7u9cHNCnOvJ80U5l5/mMnPvV6tUWHu9U2N8nOvh8nk514/ 0Sw/9/32TH7u+7ONCnPfz2uUn/v+T7PC3PcLMvm5ry83K8x9PTKTn/v6VaPC 3Nc7Mvm53x9nCnO/n8rk5379ncnP/Xotk5/7/3sm3/l/45RqncuvejrMWDu2 ccsn/pn0efLs6p02dw9Xlv203j8mjk+Wn3He8epjeoSVFY/OaHd4RGi14KQq a3b0Dne8fm+3F/rPDo3+NOnM9V2GhFk1d43818MLQ/+7Oq48occXSZe/v/Fs nbJF4ck1r1Q7rfTKpNvClzpuqVoUzlj20xNbLssmj3VoMfq9m4vCx+cObvjJ mYXJ8ecXzbji2aLQbOh9R5rcMTT5v9OmbDmp/dJw/nWdPq90wbuhzweD269+ ZUnofM+775eaVhSO1u3xm8nVis8H7a/YXLB2ZTi1oFfzdQ9kw9LmH39Y6s41 If/oM1s7dc2GO8p9VuLUuV+FJV9e3OPN/tnQYX3n61oP/ToMObPi9KnDsuG0 uZkOJTJbQsn1n3QePiobdrStW+vLPd+Es9+5eNagcdmwYdPc2jUnbA83La18 4TWvZcPU87+4sULjneGbWnc13T85G5ov2L95Sd7u8O3CKcNLTs+GpjcUja+0 Zk/o1bPwtlFvZEO94Q9PWHL5vjDxhsUnffRmNpQeUjC/1YD94dUPH98/cWY2 ZC5/qdzO9QfC+rIL3rxldjbMr9PilEfqHgpDNx3dN/PtbCj64LSHtg45HF79 qszCfXOK93lFrUl/3HokbCt75/ll38mG35f/2xeL8o+FI7dvGVp2bjZMXHb1 tmojvw9X1S8x/Eixr5/VbeigHT+Evjs6FWbnZUP5TtXab2twPOy75pKSAwuy oWuYvvOmMT+FT+Z03Hjt/Gz4bb8bdkyf0zv5rtwrP9U4uDSUOa/e8rcffTS5 7/pK0+Z0Ld7HOavfLLW4TXJl3a/aPrR6VZi58PGTz/3x/uS6Jf1rrr18Tegw 6Ob1H+U3Tc6+pUbvu55dF2YerpIpUXRncu/h2cduWbc+7Hn4L9WOr/x9svmS rV/POvfrcMVXhSO7D7g5GTjytbN7L9oUWvV8cfCsJplk8mNDK1XutCVUqtPj wZfm3ZAUNWo7a9JZ34SNYcFDQ76sl/xwaOyfzn53W8gkx2Z3S65Jbj86dVnX /94eWt14pPCD+lclQyv2X1VUZkfxfI9PnV/liuTJf0yrfO78nWFhwwmHC5Zc ltSpXHdSi7bfhYUtS+99dXWNZEjpYe3uKlm8f5/NXji6abXkWLPTm+xcuyf0 mbj/+YKalyRNb9rZe+Bbe0Om/+zhH91eNZmzqG+o2m9fyEzLti89vXLy09vJ p4XN9odMdniZp2+olIy4u3+be2sfCH3+Umpr3p6KyeFXVly0q8TB0KdCm/UX z74gqfRUier9Vh8M/w/OzUdM "], {{{}, {}}, {{}, Tooltip[{ Thickness[0.004], Line[{903, 963, 904, 964, 905, 965, 906, 966, 907, 967, 908, 915, 973, 917, 974, 918, 975, 919, 976, 920, 977, 921, 978, 922, 979, 923, 980, 924, 981, 925, 982, 926, 983, 927, 984, 928, 985, 929, 986, 930, 987, 931, 988, 932, 989, 933, 990, 934, 991, 935, 992, 936, 993, 937, 994, 938, 995, 939}], Line[{910, 968, 909, 969, 911, 970, 912, 971, 913, 972, 914, 916, 996, 940, 997, 941, 998, 942, 999, 943, 1000, 944, 1001, 945, 1002, 946, 1003, 947, 1004, 948, 1005, 949, 1006, 950, 1007, 951, 1008, 952, 1009, 953, 1010, 954, 1011, 955, 1012, 956, 1013, 957, 1014, 958, 1015, 959, 1016, 960, 1017, 961, 1018, 962}]}, 0], {}, {}}}], { AspectRatio -> 1, BaseStyle -> (FontFamily -> "Helvetica"), Frame -> True, PlotRange -> {{-0.43, 2}, {-0.095, 1.41}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}}], VisualDSolve`VisualDSolve`$VDSThickness = Thickness[0.004], VisualDSolve`VisualDSolve`Private`stabPts = {{0, 1.}, {0, 0}, {0.32, 0.19999999999999998`}}, TagSet[VisualDSolve`VisualDSolve`SumOfSigns, MessageName[VisualDSolve`VisualDSolve`SumOfSigns, "usage"], "SumOfSigns is a value to the NullclineShadingMethod that forces a \ different, simpler, but less highly resolved, method to be sued for shading \ nullclines."], VisualDSolve`VisualDSolve`FlowParametricPlot[ Pattern[VisualDSolve`VisualDSolve`Private`f, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ti, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tf, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`x0, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`x1, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`y0, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`y1, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{VisualDSolve`VisualDSolve`Private`ff}, { VisualDSolve`VisualDSolve`Private`col, VisualDSolve`VisualDSolve`Private`fhead, VisualDSolve`VisualDSolve`Private`asp, VisualDSolve`VisualDSolve`Private`numfish, VisualDSolve`VisualDSolve`Private`segs, VisualDSolve`VisualDSolve`Private`rainb} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`FlowColor, VisualDSolve`VisualDSolve`FlowThickness, AspectRatio, VisualDSolve`VisualDSolve`NumberFish, VisualDSolve`VisualDSolve`Segments, VisualDSolve`VisualDSolve`Rainbow}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`FlowParametricPlot]]; Which[VisualDSolve`VisualDSolve`Private`col === GrayLevel, VisualDSolve`VisualDSolve`Private`fcol = GrayLevel[0.8 (1 - #)]& , VisualDSolve`VisualDSolve`Private`col === Hue, VisualDSolve`VisualDSolve`Private`fcol = Hue[(# + 1)/2]& , True, VisualDSolve`VisualDSolve`Private`fcol = VisualDSolve`VisualDSolve`Private`col]; VisualDSolve`VisualDSolve`Private`asp = N[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`asp, Automatic -> (VisualDSolve`VisualDSolve`Private`y1 - VisualDSolve`VisualDSolve`Private`y0)/( VisualDSolve`VisualDSolve`Private`x1 - VisualDSolve`VisualDSolve`Private`x0)]]; { VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by} = N[(({VisualDSolve`VisualDSolve`Private`x1 - VisualDSolve`VisualDSolve`Private`x0, VisualDSolve`VisualDSolve`Private`y1 - VisualDSolve`VisualDSolve`Private`y0} If[VisualDSolve`VisualDSolve`Private`asp < 1, { VisualDSolve`VisualDSolve`Private`asp, 1}, { 1, 1/VisualDSolve`VisualDSolve`Private`asp}]) VisualDSolve`VisualDSolve`Private`fhead)/120]; VisualDSolve`VisualDSolve`Private`Computepu[{ Pattern[VisualDSolve`VisualDSolve`Private`tx, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ty, Blank[]]}] := {-((VisualDSolve`VisualDSolve`Private`ty VisualDSolve`VisualDSolve`Private`bx)/ VisualDSolve`VisualDSolve`Private`by), ( VisualDSolve`VisualDSolve`Private`tx VisualDSolve`VisualDSolve`Private`by)/ VisualDSolve`VisualDSolve`Private`bx} VisualDSolve`VisualDSolve`Private`g[ VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by, VisualDSolve`VisualDSolve`Private`tx, VisualDSolve`VisualDSolve`Private`ty]; If[Head[ Part[VisualDSolve`VisualDSolve`Private`f, 1, 0]] === InterpolatingFunction, { VisualDSolve`VisualDSolve`Private`t0, VisualDSolve`VisualDSolve`Private`t1} = Flatten[ Part[VisualDSolve`VisualDSolve`Private`f, 1, 0, 1]]; VisualDSolve`VisualDSolve`Private`ff = Evaluate[{ Part[VisualDSolve`VisualDSolve`Private`f, 1, 0][#], Part[VisualDSolve`VisualDSolve`Private`f, 2, 0][#]}]& , { VisualDSolve`VisualDSolve`Private`t0, VisualDSolve`VisualDSolve`Private`t1} = N[{VisualDSolve`VisualDSolve`Private`ti, VisualDSolve`VisualDSolve`Private`tf}]; VisualDSolve`VisualDSolve`Private`ff = Evaluate[{ ReplaceAll[ First[VisualDSolve`VisualDSolve`Private`f], VisualDSolve`VisualDSolve`Private`t -> #], ReplaceAll[ Last[VisualDSolve`VisualDSolve`Private`f], VisualDSolve`VisualDSolve`Private`t -> #]}]& ]; VisualDSolve`VisualDSolve`Private`zz = 0; VisualDSolve`VisualDSolve`Private`zzz = 0; VisualDSolve`VisualDSolve`Private`points = Map[If[# < VisualDSolve`VisualDSolve`Private`t0, Increment[VisualDSolve`VisualDSolve`Private`zz]; VisualDSolve`VisualDSolve`Private`t0, If[# > VisualDSolve`VisualDSolve`Private`t1, Increment[VisualDSolve`VisualDSolve`Private`zzz]; VisualDSolve`VisualDSolve`Private`t1, #]]& , Range[ VisualDSolve`VisualDSolve`Private`ti, VisualDSolve`VisualDSolve`Private`tf, N[(VisualDSolve`VisualDSolve`Private`tf - VisualDSolve`VisualDSolve`Private`ti)/( VisualDSolve`VisualDSolve`Private`segs VisualDSolve`VisualDSolve`Private`numfish)]]]; VisualDSolve`VisualDSolve`Private`points = Map[VisualDSolve`VisualDSolve`Private`ff, Drop[ Drop[ VisualDSolve`VisualDSolve`Private`points, Quotient[ VisualDSolve`VisualDSolve`Private`zz, VisualDSolve`VisualDSolve`Private`segs] VisualDSolve`VisualDSolve`Private`segs], -( Quotient[ VisualDSolve`VisualDSolve`Private`zzz, VisualDSolve`VisualDSolve`Private`segs] VisualDSolve`VisualDSolve`Private`segs)]]; VisualDSolve`VisualDSolve`Private`zz = Mod[VisualDSolve`VisualDSolve`Private`zz, VisualDSolve`VisualDSolve`Private`segs]; VisualDSolve`VisualDSolve`Private`zzz = Mod[VisualDSolve`VisualDSolve`Private`zzz, VisualDSolve`VisualDSolve`Private`segs]; VisualDSolve`VisualDSolve`Private`pupoints = Map[VisualDSolve`VisualDSolve`Private`Computepu, VisualDSolve`VisualDSolve`Private`points - RotateRight[ VisualDSolve`VisualDSolve`Private`points]]; VisualDSolve`VisualDSolve`Private`pupoints = MapIndexed[(# Mod[Part[#2, 1] - 1, VisualDSolve`VisualDSolve`Private`segs])/( VisualDSolve`VisualDSolve`Private`segs - 1)& , Join[ Table[ Part[ VisualDSolve`VisualDSolve`Private`pupoints, VisualDSolve`VisualDSolve`Private`zz + 1], { VisualDSolve`VisualDSolve`Private`i, 1, VisualDSolve`VisualDSolve`Private`zz}], Drop[ VisualDSolve`VisualDSolve`Private`pupoints, VisualDSolve`VisualDSolve`Private`zz]]]; VisualDSolve`VisualDSolve`Private`points = Partition[ VisualDSolve`VisualDSolve`Private`points, VisualDSolve`VisualDSolve`Private`segs]; VisualDSolve`VisualDSolve`Private`pupoints = Partition[ VisualDSolve`VisualDSolve`Private`pupoints, VisualDSolve`VisualDSolve`Private`segs]; VisualDSolve`VisualDSolve`Private`fishheads = Map[Disk[ Last[#], { VisualDSolve`VisualDSolve`Private`bx, VisualDSolve`VisualDSolve`Private`by}, {0, 2 Pi}]& , VisualDSolve`VisualDSolve`Private`points]; If[VisualDSolve`VisualDSolve`Private`zzz > 1, VisualDSolve`VisualDSolve`Private`fishheads = Drop[VisualDSolve`VisualDSolve`Private`fishheads, -1]]; VisualDSolve`VisualDSolve`Private`points = Apply[Plus, { Map[Join[#, Reverse[#]]& , VisualDSolve`VisualDSolve`Private`points], Map[Join[#, Reverse[-#]]& , VisualDSolve`VisualDSolve`Private`pupoints]}]; If[Head[VisualDSolve`VisualDSolve`Private`fcol] === Function, VisualDSolve`VisualDSolve`Private`points = { MapIndexed[{ VisualDSolve`VisualDSolve`Private`fcol[( Mod[Part[#2, 1] - 1, VisualDSolve`VisualDSolve`Private`segs - 1] + 1)/VisualDSolve`VisualDSolve`Private`segs], Polygon[#]}& , Flatten[ Map[MapThread[Join, { Take[#, VisualDSolve`VisualDSolve`Private`segs - 1], Reverse[ Take[#, 1 - VisualDSolve`VisualDSolve`Private`segs]]}]& , Map[ Partition[#, 2, 1]& , VisualDSolve`VisualDSolve`Private`points]], 1]], Map[{ VisualDSolve`VisualDSolve`Private`fcol[1], #}& , VisualDSolve`VisualDSolve`Private`fishheads]}, VisualDSolve`VisualDSolve`Private`points = { VisualDSolve`VisualDSolve`Private`fcol, Map[Polygon, VisualDSolve`VisualDSolve`Private`points], VisualDSolve`VisualDSolve`Private`fishheads}]; Graphics[VisualDSolve`VisualDSolve`Private`points, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ Graphics, VisualDSolve`VisualDSolve`Private`opts]]]], Options[VisualDSolve`VisualDSolve`FlowParametricPlot] = { VisualDSolve`VisualDSolve`NumberFish -> 5, VisualDSolve`VisualDSolve`Segments -> 10, VisualDSolve`VisualDSolve`FlowThickness -> 1, AspectRatio -> Automatic, VisualDSolve`VisualDSolve`FlowColor -> GrayLevel[0]}, TagSet[VisualDSolve`VisualDSolve`FlowParametricPlot, MessageName[VisualDSolve`VisualDSolve`FlowParametricPlot, "usage"], "FlowParametricPlot[f, {t, tmin, tmax}, {x, xmin, xmax}, {y, ymin, \ ymax}] shows a two-dimensional parametric curve whose thickness increases \ with time to indicate direction of flow and speed of flow."], TagSet[VisualDSolve`VisualDSolve`FlowColor, MessageName[VisualDSolve`VisualDSolve`FlowColor, "usage"], "FlowColor is an option to PhasePlot and FlowParametricPlot that sets \ the color of the fish shapes."], TagSet[VisualDSolve`VisualDSolve`NumberFish, MessageName[VisualDSolve`VisualDSolve`NumberFish, "usage"], "NumberFish is an option to PhaseLine and FlowParametricPlot that \ controls the number of fish."], TagSet[VisualDSolve`VisualDSolve`Segments, MessageName[VisualDSolve`VisualDSolve`Segments, "usage"], "Segments is an option to FlowParametricPlot that sets the number of \ segments used to draw each fish."], VisualDSolve`VisualDSolve`Private`orbSty = {{ Hue[0.67, 0.6, 0.6], Thickness[0.006]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006]}, { Hue[0.67, 0.6, 0.6], Thickness[0.006]}}, VisualDSolve`VisualDSolve`Private`backCol = GrayLevel[1], VisualDSolve`VisualDSolve`Private`ppfcn = ParametricPlot, VisualDSolve`VisualDSolve`Private`arr = False, VisualDSolve`VisualDSolve`Private`stableQ = False, VisualDSolve`VisualDSolve`Private`nullclinesQ = False, VisualDSolve`VisualDSolve`Private`grayregQ = True, VisualDSolve`VisualDSolve`Private`met = Automatic, VisualDSolve`VisualDSolve`Private`showFish = False, VisualDSolve`VisualDSolve`Private`tic = Automatic, VisualDSolve`VisualDSolve`Private`CheckPhasePlotInitialValues[ Pattern[VisualDSolve`VisualDSolve`Private`ivals, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]] := Module[{VisualDSolve`VisualDSolve`Private`pts = VisualDSolve`VisualDSolve`Private`ivals, VisualDSolve`VisualDSolve`Private`dims, VisualDSolve`VisualDSolve`Private`pat}, If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`ivals]], Return[]]; VisualDSolve`VisualDSolve`Private`pat = Alternatives[{ PatternTest[ Blank[], NumericQ], { PatternTest[ BlankSequence[], NumericQ]}, { PatternTest[ Blank[], NumericQ], PatternTest[ Blank[], NumericQ]}}, { PatternTest[ Blank[], NumericQ], { PatternTest[ BlankSequence[], NumericQ]}}, {{ PatternTest[ BlankSequence[], NumericQ]}}, { PatternTest[ BlankSequence[], NumericQ]}, { PatternTest[ BlankSequence[], NumericQ], { PatternTest[ Blank[], NumericQ], PatternTest[ Blank[], NumericQ]}}]; If[ MatchQ[ VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`pat], VisualDSolve`VisualDSolve`Private`pts = { VisualDSolve`VisualDSolve`Private`pts}]; If[ Not[ Apply[And, Map[ MatchQ[#, VisualDSolve`VisualDSolve`Private`pat]& , VisualDSolve`VisualDSolve`Private`pts]]], Return[]]; VisualDSolve`VisualDSolve`Private`pts = Map[Which[ MatchQ[#, { PatternTest[ Blank[], NumericQ], { PatternTest[ BlankSequence[], NumericQ]}}], Append[#, { VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}], MatchQ[#, {{ PatternTest[ BlankSequence[], NumericQ]}}], Prepend[ Append[#, { VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}], VisualDSolve`VisualDSolve`Private`tmin], MatchQ[#, { PatternTest[ BlankSequence[], NumericQ]}], { VisualDSolve`VisualDSolve`Private`tmin, #, { VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}}, MatchQ[#, { PatternTest[ BlankSequence[], NumericQ], { PatternTest[ Blank[], NumericQ], PatternTest[ Blank[], NumericQ]}}], { VisualDSolve`VisualDSolve`Private`tmin, Most[#], Last[#]}, True, #]& , VisualDSolve`VisualDSolve`Private`pts]; VisualDSolve`VisualDSolve`Private`dims = Map[Length[ Part[#, 2]]& , VisualDSolve`VisualDSolve`Private`pts]; If[Max[VisualDSolve`VisualDSolve`Private`dims] != Min[VisualDSolve`VisualDSolve`Private`dims], Return[]]; {VisualDSolve`VisualDSolve`Private`pts, First[VisualDSolve`VisualDSolve`Private`dims]}], VisualDSolve`VisualDSolve`Private`ndsrules = {$CellContext`swan[ 1] -> $CellContext`swan1, Derivative[1][ $CellContext`swan[1]] -> Derivative[1][$CellContext`swan1], Derivative[2][ $CellContext`swan[1]] -> Derivative[2][$CellContext`swan1], $CellContext`swan[ 2] -> $CellContext`swan2, Derivative[1][ $CellContext`swan[2]] -> Derivative[1][$CellContext`swan2], Derivative[2][ $CellContext`swan[2]] -> Derivative[2][$CellContext`swan2]}, Attributes[VisualDSolve`VisualDSolve`ToScalarEquations] = {HoldFirst}, VisualDSolve`VisualDSolve`ToScalarEquations[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`dep, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{VisualDSolve`VisualDSolve`Private`rules, VisualDSolve`VisualDSolve`Private`rulesQ, VisualDSolve`VisualDSolve`Private`dim, VisualDSolve`VisualDSolve`Private`scalarEqs, VisualDSolve`VisualDSolve`Private`unks}, { VisualDSolve`VisualDSolve`Private`rulesQ, VisualDSolve`VisualDSolve`Private`dim} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`Rules, VisualDSolve`VisualDSolve`Dimension}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`ToScalarEquations]]; VisualDSolve`VisualDSolve`Private`rules = Table[D[VisualDSolve`VisualDSolve`Private`dep, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`d}] -> Table[ D[ Part[VisualDSolve`VisualDSolve`Private`dep, 0][ VisualDSolve`VisualDSolve`Private`i][ VisualDSolve`VisualDSolve`Private`t], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`d}], { VisualDSolve`VisualDSolve`Private`i, 1, VisualDSolve`VisualDSolve`Private`dim}], { VisualDSolve`VisualDSolve`Private`d, 0, 2}]; VisualDSolve`VisualDSolve`Private`scalarEqs = Thread[ ReleaseHold[ ReplaceAll[ Hold[VisualDSolve`VisualDSolve`Private`eqn], VisualDSolve`VisualDSolve`Private`rules]]]; VisualDSolve`VisualDSolve`Private`unks = Table[ Part[VisualDSolve`VisualDSolve`Private`dep, 0][ VisualDSolve`VisualDSolve`Private`i][ VisualDSolve`VisualDSolve`Private`t], { VisualDSolve`VisualDSolve`Private`i, 1, VisualDSolve`VisualDSolve`Private`dim}]; VisualDSolve`VisualDSolve`Private`ndsrules = Flatten[ Table[Part[ D[ Part[VisualDSolve`VisualDSolve`Private`dep, 0][ VisualDSolve`VisualDSolve`Private`i][ VisualDSolve`VisualDSolve`Private`t], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`d}], 0] -> Part[ D[ ToExpression[ StringJoin[ ToString[ Part[VisualDSolve`VisualDSolve`Private`dep, 0]], ToString[VisualDSolve`VisualDSolve`Private`i]]][ VisualDSolve`VisualDSolve`Private`t], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`d}], 0], { VisualDSolve`VisualDSolve`Private`i, 1, VisualDSolve`VisualDSolve`Private`dim}, { VisualDSolve`VisualDSolve`Private`d, 0, 2}]]; If[VisualDSolve`VisualDSolve`Private`rulesQ, { VisualDSolve`VisualDSolve`Private`scalarEqs, VisualDSolve`VisualDSolve`Private`rules, VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`ndsrules}, VisualDSolve`VisualDSolve`Private`scalarEqs]], Options[VisualDSolve`VisualDSolve`ToScalarEquations] = { VisualDSolve`VisualDSolve`Dimension -> 2, VisualDSolve`VisualDSolve`Rules -> False}, TagSet[VisualDSolve`VisualDSolve`ToScalarEquations, MessageName[VisualDSolve`VisualDSolve`ToScalarEquations, "usage"], "ToScalarEquations[eqn, unk, t] converts a single vector differential \ equation into a system of scalar equations. The Dimension option specifies \ the dimension of the dependent vector variable."], TagSet[VisualDSolve`VisualDSolve`Rules, MessageName[VisualDSolve`VisualDSolve`Rules, "usage"], "Rules is an option to ToScalarEquations that provides more \ information about the conversion (for internal use only)."], VisualDSolve`VisualDSolve`Private`NDSolvePatched[ Pattern[VisualDSolve`VisualDSolve`Private`rules, Blank[]]][ Pattern[VisualDSolve`VisualDSolve`Private`args, BlankSequence[]]] := ReplaceAll[ Apply[NDSolve, ReplaceAll[{VisualDSolve`VisualDSolve`Private`args}, VisualDSolve`VisualDSolve`Private`rules]], Map[Reverse, VisualDSolve`VisualDSolve`Private`rules]], Attributes[VisualDSolve`VisualDSolve`SecondOrderPlot] = {HoldAll}, VisualDSolve`VisualDSolve`SecondOrderPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "insarg"], VisualDSolve`VisualDSolve`SecondOrderPlot, 3]; HoldForm[ VisualDSolve`VisualDSolve`SecondOrderPlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Length[{VisualDSolve`VisualDSolve`Private`x}] < 2], VisualDSolve`VisualDSolve`SecondOrderPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; HoldForm[ VisualDSolve`VisualDSolve`SecondOrderPlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ ListQ[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2]]]], VisualDSolve`VisualDSolve`SecondOrderPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], { 3, Part[VisualDSolve`VisualDSolve`Private`r, 1, 1] + 1}]; HoldForm[ VisualDSolve`VisualDSolve`SecondOrderPlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], ( VisualDSolve`VisualDSolve`Private`r = Position[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2, {2, 3}], PatternTest[ Blank[], Not[ NumberQ[ N[#]]]& ], Heads -> False]) != {{}}], VisualDSolve`VisualDSolve`SecondOrderPlot[ Condition[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`eqnn, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Head[VisualDSolve`VisualDSolve`Private`eqnn] =!= List], Pattern[VisualDSolve`VisualDSolve`Private`unk, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[Rule]]] := VisualDSolve`VisualDSolve`SecondOrderPlot[ VisualDSolve`VisualDSolve`Private`eqnn, VisualDSolve`VisualDSolve`Private`unk, { Part[VisualDSolve`VisualDSolve`Private`unk, 1], 0, 1}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, VisualDSolve`VisualDSolve`Private`opts], VisualDSolve`VisualDSolve`SecondOrderPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`eqnn, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`unkks, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`x, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`xmax, Blank[]]}, { Pattern[VisualDSolve`VisualDSolve`Private`y, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`ymax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[Rule]]] := Module[{VisualDSolve`VisualDSolve`Private`i, VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`dim, VisualDSolve`VisualDSolve`Private`halt, VisualDSolve`VisualDSolve`Private`toScalarRules = {}}, VisualDSolve`VisualDSolve`Private`halt = HoldForm[ VisualDSolve`VisualDSolve`SecondOrderPlot[ VisualDSolve`VisualDSolve`Private`eqnn, VisualDSolve`VisualDSolve`Private`unkks, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, { VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}, VisualDSolve`VisualDSolve`Private`opts]]; If[ And[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`eqnn]], Head[VisualDSolve`VisualDSolve`Private`eqnn] =!= Equal], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; { VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`dim} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`InitialValues, VisualDSolve`VisualDSolve`Dimension}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`SecondOrderPlot]]; VisualDSolve`VisualDSolve`Private`unks = If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`unkks]], { VisualDSolve`VisualDSolve`Private`unkks}, VisualDSolve`VisualDSolve`Private`unkks]; If[VisualDSolve`VisualDSolve`Private`pts != {}, VisualDSolve`VisualDSolve`Private`check = VisualDSolve`VisualDSolve`Private`CheckPhasePlotInitialValues[ VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax]; If[ Or[VisualDSolve`VisualDSolve`Private`check == Null, OddQ[ Last[VisualDSolve`VisualDSolve`Private`check]]], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badopt"], VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`InitialValues]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ And[ NumericQ[VisualDSolve`VisualDSolve`Private`dim], Last[VisualDSolve`VisualDSolve`Private`check]/2 != VisualDSolve`VisualDSolve`Private`dim], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "baddim"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`dim = Last[VisualDSolve`VisualDSolve`Private`check]/2; Null]; If[ And[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`eqnn]], NumericQ[VisualDSolve`VisualDSolve`Private`dim], VisualDSolve`VisualDSolve`Private`dim > 1], { VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`toScalarRules, VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`ndsrules} = VisualDSolve`VisualDSolve`ToScalarEquations[ VisualDSolve`VisualDSolve`Private`eqnn, First[VisualDSolve`VisualDSolve`Private`unks], VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Dimension -> VisualDSolve`VisualDSolve`Private`dim, VisualDSolve`VisualDSolve`Rules -> True], VisualDSolve`VisualDSolve`Private`eqn = If[ ListQ[VisualDSolve`VisualDSolve`Private`eqnn], VisualDSolve`VisualDSolve`Private`eqnn, { VisualDSolve`VisualDSolve`Private`eqnn}]]; If[ Not[ VisualDSolve`VisualDSolve`CheckOptions[{ VisualDSolve`VisualDSolve`SecondOrderPlot, VisualDSolve`VisualDSolve`PhasePlot, Graphics, NDSolve, VisualDSolve`VisualDSolve`RungeKutta4, VisualDSolve`VisualDSolve`Euler, ContourPlot, Plot, VisualDSolve`VisualDSolve`DirectionFieldPlot, VisualDSolve`VisualDSolve`Equilibria, VisualDSolve`VisualDSolve`ColorParametricPlot, VisualDSolve`VisualDSolve`FlowParametricPlot, VisualDSolve`VisualDSolve`ProjectionPlot3D, Graphics3D, VisualDSolve`VisualDSolve`NullclinePlot}, { VisualDSolve`VisualDSolve`Private`opts}]], Return[VisualDSolve`VisualDSolve`Private`halt]]; { VisualDSolve`VisualDSolve`Private`sys, VisualDSolve`VisualDSolve`Private`vbleChange} = VisualDSolve`VisualDSolve`ToSystem[ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`ShowAuxiliaryVariables -> True]; VisualDSolve`VisualDSolve`PhasePlot[ Evaluate[VisualDSolve`VisualDSolve`Private`sys], Evaluate[ Join[VisualDSolve`VisualDSolve`Private`unks, ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`unks, Pattern[VisualDSolve`VisualDSolve`Private`xx, Blank[]][VisualDSolve`VisualDSolve`Private`t] :> Derivative[1][VisualDSolve`VisualDSolve`Private`xx][ VisualDSolve`VisualDSolve`Private`t]], VisualDSolve`VisualDSolve`Private`vbleChange]]], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, Evaluate[ Apply[Sequence, ReplaceAll[{{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`xmin, VisualDSolve`VisualDSolve`Private`xmax}, { VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`ymin, VisualDSolve`VisualDSolve`Private`ymax}}, VisualDSolve`VisualDSolve`Private`vbleChange]]], VisualDSolve`VisualDSolve`Source -> VisualDSolve`VisualDSolve`SecondOrderPlot, Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`PhasePlot, VisualDSolve`VisualDSolve`Private`opts]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`NullclinePlot, VisualDSolve`VisualDSolve`Private`opts]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`ColorParametricPlot, VisualDSolve`VisualDSolve`Private`opts]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`FlowParametricPlot, VisualDSolve`VisualDSolve`Private`opts]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`ColorParametricPlot3D, VisualDSolve`VisualDSolve`Private`opts]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`ProjectionPlot3D, VisualDSolve`VisualDSolve`Private`opts]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`DirectionFieldPlot, VisualDSolve`VisualDSolve`Private`opts]], Evaluate[ Apply[Sequence, ReplaceAll[{ VisualDSolve`VisualDSolve`Private`filterOptions[ NDSolve, VisualDSolve`VisualDSolve`Private`opts]}, VisualDSolve`VisualDSolve`Private`toScalarRules]]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`Equilibria, VisualDSolve`VisualDSolve`Private`opts]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ ParametricPlot, VisualDSolve`VisualDSolve`Private`opts]]]], VisualDSolve`VisualDSolve`SecondOrderPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`eqnn, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`unkks, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[Rule]]] := Module[{VisualDSolve`VisualDSolve`Private`i, VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`dim, VisualDSolve`VisualDSolve`Private`halt, VisualDSolve`VisualDSolve`Private`toScalarRules = {}}, VisualDSolve`VisualDSolve`Private`halt = HoldForm[ VisualDSolve`VisualDSolve`SecondOrderPlot[ VisualDSolve`VisualDSolve`Private`eqnn, VisualDSolve`VisualDSolve`Private`unkks, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, VisualDSolve`VisualDSolve`Private`opts]]; If[ And[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`eqnn]], Head[VisualDSolve`VisualDSolve`Private`eqnn] =!= Equal], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; { VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`plotvars} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`InitialValues, VisualDSolve`VisualDSolve`PlotVariables}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`SecondOrderPlot]]; VisualDSolve`VisualDSolve`Private`unks = If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`unkks]], { VisualDSolve`VisualDSolve`Private`unkks}, VisualDSolve`VisualDSolve`Private`unkks]; If[VisualDSolve`VisualDSolve`Private`pts == {}, Message[ MessageName[ VisualDSolve`VisualDSolve`SystemSolutionPlot, "noinit"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`check = VisualDSolve`VisualDSolve`Private`\ CheckSystemSolutionPlotInitialValues[ VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`tmin]; If[ Or[VisualDSolve`VisualDSolve`Private`check == Null, OddQ[ Last[VisualDSolve`VisualDSolve`Private`check]]], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badopt"], VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`InitialValues]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`dim = Last[VisualDSolve`VisualDSolve`Private`check]/2; If[ And[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`eqnn]], VisualDSolve`VisualDSolve`Private`dim > 1], { VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`toScalarRules, VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`ndsrules} = VisualDSolve`VisualDSolve`ToScalarEquations[ VisualDSolve`VisualDSolve`Private`eqnn, First[VisualDSolve`VisualDSolve`Private`unks], VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Dimension -> VisualDSolve`VisualDSolve`Private`dim, VisualDSolve`VisualDSolve`Rules -> True], VisualDSolve`VisualDSolve`Private`eqn = If[ ListQ[VisualDSolve`VisualDSolve`Private`eqnn], VisualDSolve`VisualDSolve`Private`eqnn, { VisualDSolve`VisualDSolve`Private`eqnn}]]; If[ Not[ VisualDSolve`VisualDSolve`CheckOptions[{ VisualDSolve`VisualDSolve`SecondOrderPlot, VisualDSolve`VisualDSolve`SystemSolutionPlot, Graphics, Plot, NDSolve}, VisualDSolve`VisualDSolve`Private`opts]], Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`plotvars = ReplaceAll[ VisualDSolve`VisualDSolve`Private`plotvars, Alternatives[All, Automatic] :> { Join[ Map[Head, VisualDSolve`VisualDSolve`Private`unks], Map[Derivative[1][ Head[#]]& , VisualDSolve`VisualDSolve`Private`unks]]}]; If[ Or[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`plotvars]], Not[ Apply[And, Map[ListQ, VisualDSolve`VisualDSolve`Private`plotvars]]]], Message[ MessageName[ VisualDSolve`VisualDSolve`SecondOrderPlot, "badvbl"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; { VisualDSolve`VisualDSolve`Private`sys, VisualDSolve`VisualDSolve`Private`vbleChange} = VisualDSolve`VisualDSolve`ToSystem[ VisualDSolve`VisualDSolve`Private`eqn, VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`ShowAuxiliaryVariables -> True]; VisualDSolve`VisualDSolve`SystemSolutionPlot[ VisualDSolve`VisualDSolve`Private`sys, Evaluate[ Join[VisualDSolve`VisualDSolve`Private`unks, ReplaceAll[ ReplaceAll[ VisualDSolve`VisualDSolve`Private`unks, Pattern[VisualDSolve`VisualDSolve`Private`xx, Blank[]][VisualDSolve`VisualDSolve`Private`t] :> Derivative[1][VisualDSolve`VisualDSolve`Private`xx][ VisualDSolve`VisualDSolve`Private`t]], VisualDSolve`VisualDSolve`Private`vbleChange]]], { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, VisualDSolve`VisualDSolve`PlotVariables -> ReplaceAll[ VisualDSolve`VisualDSolve`Private`plotvars, VisualDSolve`VisualDSolve`Private`vbleChange], Evaluate[ Apply[Sequence, ReplaceAll[{ VisualDSolve`VisualDSolve`Private`filterOptions[ NDSolve, VisualDSolve`VisualDSolve`Private`opts]}, VisualDSolve`VisualDSolve`Private`toScalarRules]]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ Graphics, VisualDSolve`VisualDSolve`Private`opts]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ VisualDSolve`VisualDSolve`SystemSolutionPlot, VisualDSolve`VisualDSolve`Private`opts]]]], Options[VisualDSolve`VisualDSolve`SecondOrderPlot] = { VisualDSolve`VisualDSolve`Dimension -> Automatic, VisualDSolve`VisualDSolve`PlotVariables -> All, VisualDSolve`VisualDSolve`InitialValues -> {}}, TagSet[VisualDSolve`VisualDSolve`SecondOrderPlot, MessageName[VisualDSolve`VisualDSolve`SecondOrderPlot, "badvbl"], "PlotVariables must be set to All or a list of lists. For example, a \ single plot of x and x' vs. t comes from the setting {{x', x}}; separate \ plots come from {{x'}, {x}}."], TagSet[VisualDSolve`VisualDSolve`SecondOrderPlot, MessageName[VisualDSolve`VisualDSolve`SecondOrderPlot, "usage"], "SecondOrderPlot[eqn, unks, {t, tmin, tmax}] produces a plot of the \ solution to eqn, which might be a single second-order equation, a list of \ such, or a single second-order vector equation. This calls \ SystemSolutionPlot, and so plots may be requested in any of the forms that \ that routine produces. The default is to show graphs of all the functions and \ their derivatives on a single plot. The form SecondOrderPlot[eqn, unks, {t, \ tmin, tmax}, {x, xmin, xmax}, {y, ymin, ymax}] also works; in this case, \ PhasePlot is called and a phase plot is shown; options for PhasePlot may be \ used. Plotting variables are specified by the PlotVariables option, and names \ such as x' may be used. The initial values must be given for the main \ variables first (unks), then the implicit auxiliary variables."], VisualDSolve`VisualDSolve`ToSystem[ Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "insarg"], VisualDSolve`VisualDSolve`ToSystem, 3]; HoldForm[ VisualDSolve`VisualDSolve`VisualDSolve[ VisualDSolve`VisualDSolve`Private`x]], Length[{VisualDSolve`VisualDSolve`Private`x}] < 3], VisualDSolve`VisualDSolve`ToSystem[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[List]], Pattern[VisualDSolve`VisualDSolve`Private`unk, Blank[List]], Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := ({ VisualDSolve`VisualDSolve`Private`aux, VisualDSolve`VisualDSolve`Private`auxQ} = ReplaceAll[ ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`AuxiliaryVariables, VisualDSolve`VisualDSolve`ShowAuxiliaryVariables}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`ToSystem]], Automatic -> Map[Unique[ VisualDSolve`VisualDSolve`Private`FirstHead[#]]& , VisualDSolve`VisualDSolve`Private`unk]]; VisualDSolve`VisualDSolve`Private`rules = MapIndexed[Derivative[1][ Head[#]] -> Part[VisualDSolve`VisualDSolve`Private`aux, Part[#2, 1]]& , VisualDSolve`VisualDSolve`Private`unk]; Part[{ Join[ MapIndexed[ D[#, VisualDSolve`VisualDSolve`Private`t] == Part[VisualDSolve`VisualDSolve`Private`aux, Part[#2, 1]][VisualDSolve`VisualDSolve`Private`t]& , VisualDSolve`VisualDSolve`Private`unk], MapIndexed[Derivative[1][ Part[VisualDSolve`VisualDSolve`Private`aux, Part[#2, 1]]][VisualDSolve`VisualDSolve`Private`t] == ReplaceAll[ Part[ Solve[#, D[ Part[VisualDSolve`VisualDSolve`Private`unk, Part[#2, 1]], {VisualDSolve`VisualDSolve`Private`t, 2}]], 1, 1, 2], VisualDSolve`VisualDSolve`Private`rules]& , VisualDSolve`VisualDSolve`Private`eqn]], VisualDSolve`VisualDSolve`Private`rules}, If[VisualDSolve`VisualDSolve`Private`auxQ, {1, 2}, 1]]), VisualDSolve`VisualDSolve`ToSystem[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[Equal]], Pattern[VisualDSolve`VisualDSolve`Private`unk, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{}, { VisualDSolve`VisualDSolve`Private`aux, VisualDSolve`VisualDSolve`Private`auxQ} = ReplaceAll[ ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`AuxiliaryVariables, VisualDSolve`VisualDSolve`ShowAuxiliaryVariables}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`ToSystem]], Automatic -> Unique[ VisualDSolve`VisualDSolve`Private`FirstHead[ VisualDSolve`VisualDSolve`Private`unk]]]; VisualDSolve`VisualDSolve`Private`rule = Derivative[1][ Head[VisualDSolve`VisualDSolve`Private`unk]] -> VisualDSolve`VisualDSolve`Private`aux; Part[{{D[ VisualDSolve`VisualDSolve`Private`unk, VisualDSolve`VisualDSolve`Private`t] == VisualDSolve`VisualDSolve`Private`aux[ VisualDSolve`VisualDSolve`Private`t], Derivative[1][VisualDSolve`VisualDSolve`Private`aux][ VisualDSolve`VisualDSolve`Private`t] == ReplaceAll[ ReplaceAll[ Part[ Solve[VisualDSolve`VisualDSolve`Private`eqn, D[ VisualDSolve`VisualDSolve`Private`unk, { VisualDSolve`VisualDSolve`Private`t, 2}]], 1, 1, 2], -1. -> -1], VisualDSolve`VisualDSolve`Private`rule]}, VisualDSolve`VisualDSolve`Private`rule}, If[VisualDSolve`VisualDSolve`Private`auxQ, {1, 2}, 1]]], VisualDSolve`VisualDSolve`ToSystem[ Pattern[VisualDSolve`VisualDSolve`Private`eqn, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`unk, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{}, { VisualDSolve`VisualDSolve`Private`aux, VisualDSolve`VisualDSolve`Private`auxQ} = ReplaceAll[ ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`AuxiliaryVariables, VisualDSolve`VisualDSolve`ShowAuxiliaryVariables}, { VisualDSolve`VisualDSolve`Private`opts}], Options[VisualDSolve`VisualDSolve`ToSystem]], Automatic -> Unique[ VisualDSolve`VisualDSolve`Private`FirstHead[ VisualDSolve`VisualDSolve`Private`unk]]]; VisualDSolve`VisualDSolve`Private`rule = Derivative[1][ Head[VisualDSolve`VisualDSolve`Private`unk]] -> VisualDSolve`VisualDSolve`Private`aux; Part[{{D[ VisualDSolve`VisualDSolve`Private`unk, VisualDSolve`VisualDSolve`Private`t] == VisualDSolve`VisualDSolve`Private`aux[ VisualDSolve`VisualDSolve`Private`t], Derivative[1][VisualDSolve`VisualDSolve`Private`aux][ VisualDSolve`VisualDSolve`Private`t] == ReplaceAll[ ReplaceAll[ Part[ Solve[VisualDSolve`VisualDSolve`Private`eqn, D[ VisualDSolve`VisualDSolve`Private`unk, { VisualDSolve`VisualDSolve`Private`t, 2}]], 1, 1, 2], -1. -> -1], VisualDSolve`VisualDSolve`Private`rule]}, VisualDSolve`VisualDSolve`Private`rule}, If[VisualDSolve`VisualDSolve`Private`auxQ, {1, 2}, 1]]], Options[VisualDSolve`VisualDSolve`ToSystem] = { VisualDSolve`VisualDSolve`AuxiliaryVariables -> Automatic, VisualDSolve`VisualDSolve`ShowAuxiliaryVariables -> False}, TagSet[VisualDSolve`VisualDSolve`ToSystem, MessageName[VisualDSolve`VisualDSolve`ToSystem, "usage"], "ToSystem[eqn, unk, t] turns a second-order DE to a system of two \ first-order DEs. If eqn is a list of second-order DEs and unk is a list of \ unknown functions, then a system of 2n equations is returned."], TagSet[VisualDSolve`VisualDSolve`AuxiliaryVariables, MessageName[VisualDSolve`VisualDSolve`AuxiliaryVariables, "usage"], "AuxiliaryVariables is an option to ToSystem that specifies which \ auxiliary variables to use. It can be a single symbol (for single equations) \ or a list (for systems)."], TagSet[VisualDSolve`VisualDSolve`ShowAuxiliaryVariables, MessageName[ VisualDSolve`VisualDSolve`ShowAuxiliaryVariables, "usage"], "ShowAuxiliaryVariables is an option to ToSystem that causes the \ auxiliary variables to be returned as a second argument."], VisualDSolve`VisualDSolve`Private`FirstHead[ Pattern[VisualDSolve`VisualDSolve`Private`expr, Blank[]]] := NestWhile[Head, VisualDSolve`VisualDSolve`Private`expr, Not[ MatchQ[#, Blank[Symbol]]]& ], VisualDSolve`VisualDSolve`ColorParametricPlot3D[ Pattern[VisualDSolve`VisualDSolve`Private`f, Blank[List]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := ParametricPlot3D[ VisualDSolve`VisualDSolve`Private`f, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, Evaluate[VisualDSolve`VisualDSolve`Private`opts], ColorFunction -> Function[{ VisualDSolve`VisualDSolve`Private`x, VisualDSolve`VisualDSolve`Private`y, VisualDSolve`VisualDSolve`Private`z, VisualDSolve`VisualDSolve`Private`u}, Hue[0.6 (1 - VisualDSolve`VisualDSolve`Private`u)]]], Options[VisualDSolve`VisualDSolve`ColorParametricPlot3D] = { AlignmentPoint -> Center, AspectRatio -> Automatic, Axes -> True, AxesEdge -> Automatic, AxesLabel -> None, AxesOrigin -> Automatic, AxesStyle -> {}, Background -> None, BaselinePosition -> Automatic, BaseStyle -> { Thickness[0.004], FontFamily -> "Helvetica"}, BoundaryStyle -> None, Boxed -> True, BoxRatios -> Automatic, BoxStyle -> {}, ColorFunction -> Automatic, ColorFunctionScaling -> True, ColorOutput -> Automatic, ContentSelectable -> Automatic, ControllerLinking -> Automatic, ControllerMethod -> Automatic, ControllerPath -> Automatic, CoordinatesToolOptions -> Automatic, DisplayFunction :> $DisplayFunction, Epilog -> {}, Evaluated -> Automatic, EvaluationMonitor -> None, Exclusions -> Automatic, ExclusionsStyle -> None, FaceGrids -> None, FaceGridsStyle -> {}, FormatType :> TraditionalForm, ImageMargins -> 0., ImagePadding -> All, ImageSize -> Automatic, LabelStyle -> 12, Lighting -> Automatic, MaxRecursion -> Automatic, Mesh -> Automatic, MeshFunctions -> Automatic, MeshShading -> None, MeshStyle -> Automatic, Method -> Automatic, NormalsFunction -> Automatic, PerformanceGoal :> $PerformanceGoal, PlotLabel -> None, PlotPoints -> Automatic, PlotRange -> Automatic, PlotRangePadding -> Automatic, PlotRegion -> Automatic, PlotStyle -> Automatic, PreserveImageOptions -> Automatic, Prolog -> {}, RegionFunction -> (True& ), RotationAction -> "Fit", SphericalRegion -> False, Ticks -> Automatic, TicksStyle -> 10, ViewAngle -> Automatic, ViewCenter -> Automatic, ViewMatrix -> Automatic, ViewPoint -> {1.3, -2.4, 2.}, ViewRange -> All, ViewVector -> Automatic, ViewVertical -> {0, 0, 1}, WorkingPrecision -> MachinePrecision}, TagSet[VisualDSolve`VisualDSolve`ColorParametricPlot3D, MessageName[VisualDSolve`VisualDSolve`ColorParametricPlot3D, "usage"], "ColorParametricPlot3D[{fx, fy, fz}, {t, tmin, tmax}] shows a \ three-dimensional parametric curve whose color changes continuously as a \ function of t."], TagSet[VisualDSolve`VisualDSolve`PlotVariables, MessageName[VisualDSolve`VisualDSolve`PlotVariables, "usage"], "PlotVariables is an option to SystemSolutionPlot that specifies \ which variables are to be plotted."], Attributes[VisualDSolve`VisualDSolve`SystemSolutionPlot] = {HoldAll}, VisualDSolve`VisualDSolve`SystemSolutionPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[List]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankNullSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "insarg"], VisualDSolve`VisualDSolve`SystemSolutionPlot, 3]; HoldForm[ VisualDSolve`VisualDSolve`SystemSolutionPlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Length[{VisualDSolve`VisualDSolve`Private`x}] < 2], VisualDSolve`VisualDSolve`SystemSolutionPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[List]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonopt"], 3]; HoldForm[ VisualDSolve`VisualDSolve`SystemSolutionPlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], And[Length[{VisualDSolve`VisualDSolve`Private`x}] != 2, Union[ Map[Head, Drop[{VisualDSolve`VisualDSolve`Private`x}, 2]]] =!= {Rule}]], VisualDSolve`VisualDSolve`SystemSolutionPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[List]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badarg"]]; HoldForm[ VisualDSolve`VisualDSolve`SystemSolutionPlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ ListQ[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2]]]], VisualDSolve`VisualDSolve`SystemSolutionPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[List]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {3, 2}]; HoldForm[ VisualDSolve`VisualDSolve`SystemSolutionPlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2, 2]]]]], VisualDSolve`VisualDSolve`SystemSolutionPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`e, Blank[List]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`x, BlankSequence[]]] := Condition[Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "nonnum"], {3, 3}]; HoldForm[ VisualDSolve`VisualDSolve`SystemSolutionPlot[ VisualDSolve`VisualDSolve`Private`e, VisualDSolve`VisualDSolve`Private`x]], Not[ NumberQ[ N[ Part[{VisualDSolve`VisualDSolve`Private`x}, 2, 3]]]]], VisualDSolve`VisualDSolve`SystemSolutionPlot[ PatternTest[ Pattern[VisualDSolve`VisualDSolve`Private`eqns, Blank[]], VisualDSolve`VisualDSolve`FreeOfSetQ], Pattern[VisualDSolve`VisualDSolve`Private`unk, Blank[]], { Pattern[VisualDSolve`VisualDSolve`Private`t, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmax, Blank[]]}, Pattern[VisualDSolve`VisualDSolve`Private`opts, BlankNullSequence[]]] := Module[{VisualDSolve`VisualDSolve`Private`dim, VisualDSolve`VisualDSolve`Private`check, VisualDSolve`VisualDSolve`Private`i, VisualDSolve`VisualDSolve`Private`toScalarRules = {}}, VisualDSolve`VisualDSolve`Private`halt = HoldForm[ VisualDSolve`VisualDSolve`SystemSolutionPlot[ VisualDSolve`VisualDSolve`Private`eqns, VisualDSolve`VisualDSolve`Private`unk, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, VisualDSolve`VisualDSolve`Private`opts]]; If[ Not[ VisualDSolve`VisualDSolve`CheckOptions[{ VisualDSolve`VisualDSolve`SystemSolutionPlot, Graphics, Plot, NDSolve}, VisualDSolve`VisualDSolve`Private`opts]], Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`unks = If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`unk]], { VisualDSolve`VisualDSolve`Private`unk}, VisualDSolve`VisualDSolve`Private`unk]; VisualDSolve`VisualDSolve`Private`fixoptsList = Join[{VisualDSolve`VisualDSolve`Private`opts}, Options[VisualDSolve`VisualDSolve`SystemSolutionPlot]]; { VisualDSolve`VisualDSolve`Private`showNumQ, VisualDSolve`VisualDSolve`Private`pl, VisualDSolve`VisualDSolve`Private`pRans, VisualDSolve`VisualDSolve`Private`pSty, VisualDSolve`VisualDSolve`Private`initVals, VisualDSolve`VisualDSolve`Private`asp, VisualDSolve`VisualDSolve`Private`saveSol, VisualDSolve`VisualDSolve`Private`fastPlQ, VisualDSolve`VisualDSolve`Private`backCol, VisualDSolve`VisualDSolve`Private`solName, VisualDSolve`VisualDSolve`Private`plotvars, VisualDSolve`VisualDSolve`Private`rain, VisualDSolve`VisualDSolve`Private`wp, VisualDSolve`VisualDSolve`Private`lastPtQ} = ReplaceAll[ ReplaceAll[{ VisualDSolve`VisualDSolve`ShowNumberOfSteps, VisualDSolve`VisualDSolve`PlotLabels, VisualDSolve`VisualDSolve`PlotRanges, PlotStyle, VisualDSolve`VisualDSolve`InitialValues, AspectRatio, VisualDSolve`VisualDSolve`SaveSolution, VisualDSolve`VisualDSolve`FastPlotting, Background, VisualDSolve`VisualDSolve`SolutionName, VisualDSolve`VisualDSolve`PlotVariables, VisualDSolve`VisualDSolve`Rainbow, WorkingPrecision, VisualDSolve`VisualDSolve`SaveLastPoint}, VisualDSolve`VisualDSolve`Private`fixoptsList], Options[VisualDSolve`VisualDSolve`SystemSolutionPlot]]; If[VisualDSolve`VisualDSolve`Private`initVals == {}, Message[ MessageName[ VisualDSolve`VisualDSolve`SystemSolutionPlot, "noinit"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`check = VisualDSolve`VisualDSolve`Private`\ CheckSystemSolutionPlotInitialValues[ VisualDSolve`VisualDSolve`Private`initVals, VisualDSolve`VisualDSolve`Private`tmin]; If[VisualDSolve`VisualDSolve`Private`check == Null, Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badopt"], VisualDSolve`VisualDSolve`Private`initVals, VisualDSolve`VisualDSolve`InitialValues]; Return[VisualDSolve`VisualDSolve`Private`halt]]; { VisualDSolve`VisualDSolve`Private`initVals, VisualDSolve`VisualDSolve`Private`dim} = VisualDSolve`VisualDSolve`Private`check; VisualDSolve`VisualDSolve`Private`initVals = N[VisualDSolve`VisualDSolve`Private`initVals, VisualDSolve`VisualDSolve`Private`wp]; VisualDSolve`VisualDSolve`Private`num = Length[VisualDSolve`VisualDSolve`Private`initVals]; If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`eqns]], { VisualDSolve`VisualDSolve`Private`eqns1, VisualDSolve`VisualDSolve`Private`toScalarRules, VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`ndsrules} = VisualDSolve`VisualDSolve`ToScalarEquations[ VisualDSolve`VisualDSolve`Private`eqns, First[VisualDSolve`VisualDSolve`Private`unks], VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Dimension -> VisualDSolve`VisualDSolve`Private`dim, VisualDSolve`VisualDSolve`Rules -> True], VisualDSolve`VisualDSolve`Private`eqns1 = VisualDSolve`VisualDSolve`Private`NormalForm[ VisualDSolve`VisualDSolve`Private`eqns, VisualDSolve`VisualDSolve`Private`unks]; If[VisualDSolve`VisualDSolve`Private`dim != Length[VisualDSolve`VisualDSolve`Private`unks], Message[ MessageName[ VisualDSolve`VisualDSolve`SystemSolutionPlot, "badln"], Length[VisualDSolve`VisualDSolve`Private`unks]]; Return[VisualDSolve`VisualDSolve`Private`halt]]]; VisualDSolve`VisualDSolve`Private`fixopts = Apply[Sequence, ReplaceAll[ VisualDSolve`VisualDSolve`Private`fixoptsList, VisualDSolve`VisualDSolve`Private`toScalarRules]]; If[ Not[ Or[ MemberQ[{Automatic, All}, VisualDSolve`VisualDSolve`Private`plotvars], And[ ListQ[VisualDSolve`VisualDSolve`Private`plotvars], Apply[And, Map[ListQ, VisualDSolve`VisualDSolve`Private`plotvars]]]]], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "badopt"], VisualDSolve`VisualDSolve`Private`plotvars, VisualDSolve`VisualDSolve`PlotVariables]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`plotvars = ReplaceAll[ VisualDSolve`VisualDSolve`Private`plotvars, Alternatives[All, Automatic] -> { Map[Head, VisualDSolve`VisualDSolve`Private`unks]}]; If[{} != Complement[ Flatten[VisualDSolve`VisualDSolve`Private`plotvars], Map[Head, VisualDSolve`VisualDSolve`Private`unks]], Message[ MessageName[ VisualDSolve`VisualDSolve`SystemSolutionPlot, "badvar"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; VisualDSolve`VisualDSolve`Private`nPlotVars = Length[ Part[VisualDSolve`VisualDSolve`Private`plotvars, 1]]; VisualDSolve`VisualDSolve`Private`saveSol = Or[VisualDSolve`VisualDSolve`Private`saveSol, And[{VisualDSolve`VisualDSolve`Private`opts} != {}, MemberQ[ Map[First, {VisualDSolve`VisualDSolve`Private`opts}], VisualDSolve`VisualDSolve`SolutionName]]]; If[ And[Length[VisualDSolve`VisualDSolve`Private`plotvars] > 1, Not[ MemberQ[{Automatic, {}}, VisualDSolve`VisualDSolve`Private`pSty]]], Message[ MessageName[ VisualDSolve`VisualDSolve`SystemSolutionPlot, "nopsty"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ And[ Length[VisualDSolve`VisualDSolve`Private`plotvars] > 1, VisualDSolve`VisualDSolve`Private`rain], Message[ MessageName[ VisualDSolve`VisualDSolve`SystemSolutionPlot, "norain"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ Not[ StringQ[VisualDSolve`VisualDSolve`Private`solName]], Message[ MessageName[VisualDSolve`VisualDSolve`VisualDSolve, "badname"]]; Return[VisualDSolve`VisualDSolve`Private`halt]]; If[ MemberQ[{All, Automatic}, VisualDSolve`VisualDSolve`Private`pRans], VisualDSolve`VisualDSolve`Private`pRans = Map[VisualDSolve`VisualDSolve`Private`pRans& , VisualDSolve`VisualDSolve`Private`unks]]; VisualDSolve`VisualDSolve`Private`nSoln[ Pattern[VisualDSolve`VisualDSolve`Private`iv, Blank[]]] := ReplaceAll[VisualDSolve`VisualDSolve`Private`unks, First[ If[Length[VisualDSolve`VisualDSolve`Private`initVals] == 1, NDSolve[ Join[VisualDSolve`VisualDSolve`Private`eqns1, Map[ReplaceAll[ Part[#, 1], VisualDSolve`VisualDSolve`Private`t -> First[VisualDSolve`VisualDSolve`Private`iv]] == Part[#, 2]& , Transpose[{VisualDSolve`VisualDSolve`Private`unks, First[ Rest[VisualDSolve`VisualDSolve`Private`iv]]}]]], VisualDSolve`VisualDSolve`Private`unks, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, VisualDSolve`VisualDSolve`Private`filterOptions[ NDSolve, VisualDSolve`VisualDSolve`Private`opts]], Check[VisualDSolve`VisualDSolve`Private`stemp = NDSolve[ Join[VisualDSolve`VisualDSolve`Private`eqns1, Map[ReplaceAll[ Part[#, 1], VisualDSolve`VisualDSolve`Private`t -> First[VisualDSolve`VisualDSolve`Private`iv]] == Part[#, 2]& , Transpose[{VisualDSolve`VisualDSolve`Private`unks, First[ Rest[VisualDSolve`VisualDSolve`Private`iv]]}]]], VisualDSolve`VisualDSolve`Private`unks, { VisualDSolve`VisualDSolve`Private`t, VisualDSolve`VisualDSolve`Private`tmin, VisualDSolve`VisualDSolve`Private`tmax}, VisualDSolve`VisualDSolve`Private`filterOptions[ NDSolve, VisualDSolve`VisualDSolve`Private`opts]], Message[ MessageName[VisualDSolve`VisualDSolve`VDS, "mxstep"], VisualDSolve`VisualDSolve`Private`iv, VisualDSolve`VisualDSolve`Private`t, Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[VisualDSolve`VisualDSolve`Private`stemp, 1, 1, 2]], 2]]; VisualDSolve`VisualDSolve`Private`stemp, MessageName[NDSolve, "mxst"]]]]]; VisualDSolve`VisualDSolve`Private`solns = Map[VisualDSolve`VisualDSolve`Private`nSoln, VisualDSolve`VisualDSolve`Private`initVals]; If[VisualDSolve`VisualDSolve`Private`showNumQ, Map[Print[ StringForm["The initial value `` required `` steps.", Part[#, 2], Length[ VisualDSolve`VisualDSolve`GetPts[ First[ Part[#, 1]]]]]]& , Transpose[{ VisualDSolve`VisualDSolve`Private`solns, VisualDSolve`VisualDSolve`Private`initVals}]]]; VisualDSolve`VisualDSolve`Private`pSty = VisualDSolve`VisualDSolve`Private`fixSty[ VisualDSolve`VisualDSolve`Private`pSty, VisualDSolve`VisualDSolve`Private`nPlotVars]; Clear[ Evaluate[ StringJoin[ "Global`", VisualDSolve`VisualDSolve`Private`solName]]]; If[VisualDSolve`VisualDSolve`Private`saveSol, Evaluate[ ToExpression[ StringJoin[ "Global`", VisualDSolve`VisualDSolve`Private`solName]]] = If[Length[VisualDSolve`VisualDSolve`Private`initVals] == 1, First[VisualDSolve`VisualDSolve`Private`solns], VisualDSolve`VisualDSolve`Private`solns]]; If[VisualDSolve`VisualDSolve`Private`lastPtQ, VisualDSolve`VisualDSolve`LastPoint = ReplaceAll[ If[Length[VisualDSolve`VisualDSolve`Private`initVals] == 1, First[VisualDSolve`VisualDSolve`Private`solns], VisualDSolve`VisualDSolve`Private`solns], VisualDSolve`VisualDSolve`Private`t -> N[VisualDSolve`VisualDSolve`Private`tmax, VisualDSolve`VisualDSolve`Private`wp]]]; Clear[VisualDSolve`VisualDSolve`Private`solNameTemp]; (If[ Length[#] == 1, First[#], #]& )[ MapIndexed[(VisualDSolve`VisualDSolve`Private`i = First[#2]; Show[ If[VisualDSolve`VisualDSolve`Private`fastPlQ, Table[ Graphics[ MapIndexed[ Function[{ VisualDSolve`VisualDSolve`Private`vb, VisualDSolve`VisualDSolve`Private`curveNo}, VisualDSolve`VisualDSolve`Private`place = First[ First[ Position[VisualDSolve`VisualDSolve`Private`unks, VisualDSolve`VisualDSolve`Private`vb[ VisualDSolve`VisualDSolve`Private`t]]]]; Join[ Join[{ Hue[ Nest[ Mod[# + 0.236068, 1]& , 0.67, First[VisualDSolve`VisualDSolve`Private`curveNo] - 1], 0.6, 0.6]}, If[VisualDSolve`VisualDSolve`Private`i == 1, If[VisualDSolve`VisualDSolve`Private`rain, Append[ Part[ VisualDSolve`VisualDSolve`Private`pSty, VisualDSolve`VisualDSolve`Private`place], Hue[ 1 - (0.8 VisualDSolve`VisualDSolve`Private`j)/ VisualDSolve`VisualDSolve`Private`num]], Part[VisualDSolve`VisualDSolve`Private`pSty, First[ First[ Position[#, VisualDSolve`VisualDSolve`Private`vb]]]]], {}]], { Line[ VisualDSolve`VisualDSolve`GetPtsFull[ Part[ VisualDSolve`VisualDSolve`Private`solns, VisualDSolve`VisualDSolve`Private`j, VisualDSolve`VisualDSolve`Private`place]]]}]], #], PlotLabel -> If[VisualDSolve`VisualDSolve`Private`pl != {}, Part[ VisualDSolve`VisualDSolve`Private`pl, VisualDSolve`VisualDSolve`Private`i], None], Axes -> True], { VisualDSolve`VisualDSolve`Private`j, VisualDSolve`VisualDSolve`Private`num}], Table[ Plot[ Evaluate[ Part[ VisualDSolve`VisualDSolve`Private`solns, VisualDSolve`VisualDSolve`Private`j, Map[First, Map[Map[First, Position[VisualDSolve`VisualDSolve`Private`unks, #[VisualDSolve`VisualDSolve`Private`t]]]& , #]]]], { VisualDSolve`VisualDSolve`Private`t, Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[ VisualDSolve`VisualDSolve`Private`solns, VisualDSolve`VisualDSolve`Private`j, 1]], 1], Part[ VisualDSolve`VisualDSolve`Private`getDomain[ Part[ VisualDSolve`VisualDSolve`Private`solns, VisualDSolve`VisualDSolve`Private`j, 1]], 2]}, PlotLabel -> If[VisualDSolve`VisualDSolve`Private`pl != {}, Part[ VisualDSolve`VisualDSolve`Private`pl, VisualDSolve`VisualDSolve`Private`i], None], PlotStyle -> If[VisualDSolve`VisualDSolve`Private`i == 1, If[VisualDSolve`VisualDSolve`Private`rain, Map[Append[#, Hue[ 1 - (0.8 VisualDSolve`VisualDSolve`Private`j)/ VisualDSolve`VisualDSolve`Private`num]]& , VisualDSolve`VisualDSolve`Private`pSty], VisualDSolve`VisualDSolve`Private`pSty], {}], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ Plot, VisualDSolve`VisualDSolve`Private`fixopts]]], { VisualDSolve`VisualDSolve`Private`j, VisualDSolve`VisualDSolve`Private`num}]], Evaluate[ VisualDSolve`VisualDSolve`Private`filterOptions[ Graphics, VisualDSolve`VisualDSolve`Private`fixopts]], PlotRange -> Part[VisualDSolve`VisualDSolve`Private`pRans, VisualDSolve`VisualDSolve`Private`i], AspectRatio -> VisualDSolve`VisualDSolve`Private`asp])& , VisualDSolve`VisualDSolve`Private`plotvars]]], Options[VisualDSolve`VisualDSolve`SystemSolutionPlot] = { AspectRatio -> GoldenRatio^(-1), Axes -> False, Background -> GrayLevel[1], VisualDSolve`VisualDSolve`FastPlotting -> False, Frame -> True, FrameTicks -> {{True, None}, {True, None}}, VisualDSolve`VisualDSolve`InitialValues -> {}, VisualDSolve`VisualDSolve`PlotRanges -> Automatic, PlotStyle -> {}, VisualDSolve`VisualDSolve`PlotVariables -> All, VisualDSolve`VisualDSolve`PlotLabels -> {}, VisualDSolve`VisualDSolve`Rainbow -> False, VisualDSolve`VisualDSolve`SaveLastPoint -> False, VisualDSolve`VisualDSolve`SaveSolution -> False, VisualDSolve`VisualDSolve`ShowNumberOfSteps -> False, VisualDSolve`VisualDSolve`SolutionName -> "Solution", WorkingPrecision -> MachinePrecision}, TagSet[VisualDSolve`VisualDSolve`SystemSolutionPlot, MessageName[VisualDSolve`VisualDSolve`SystemSolutionPlot, "badln"], "The initial conditions do not have length `` as they must to match \ the number of variables."], TagSet[VisualDSolve`VisualDSolve`SystemSolutionPlot, MessageName[VisualDSolve`VisualDSolve`SystemSolutionPlot, "badvar"], "The plotting variables must be subsets of the unknown variable \ names."], TagSet[VisualDSolve`VisualDSolve`SystemSolutionPlot, MessageName[VisualDSolve`VisualDSolve`SystemSolutionPlot, "noinit"], "Initial values are required. Use the InitialValues option."], TagSet[VisualDSolve`VisualDSolve`SystemSolutionPlot, MessageName[VisualDSolve`VisualDSolve`SystemSolutionPlot, "nopsty"], "Customized plot styles are allowed only if a single plot is \ requested."], TagSet[VisualDSolve`VisualDSolve`SystemSolutionPlot, MessageName[VisualDSolve`VisualDSolve`SystemSolutionPlot, "norain"], "The Rainbow option can be used only when a single plot is \ requested."], TagSet[VisualDSolve`VisualDSolve`SystemSolutionPlot, MessageName[VisualDSolve`VisualDSolve`SystemSolutionPlot, "usage"], "SystemSolutionPlot[eqn, unks, {t, tmin, tmax}] solves the system \ eqn, which might be a list of first-order equations or a single first-order \ vector equation, and generates plots of x vs. t for every x that is a \ plotting variable (controlled by the PlotVariables option). Initial values \ must be included, and can have the forms {t0, {x0, y0, ...}} or just {x0, y0, \ ...} or a list of such; missing t-values are assumed to be tmin."], TagSet[VisualDSolve`VisualDSolve`PlotLabels, MessageName[VisualDSolve`VisualDSolve`PlotLabels, "usage"], "PlotLabels is an option to SystemSolutionPlot that is used when more \ than one plot is generated and accepts a list of plotlabels, one for each \ plot."], TagSet[VisualDSolve`VisualDSolve`PlotRanges, MessageName[VisualDSolve`VisualDSolve`PlotRanges, "usage"], "PlotRanges is an option to SystemSolutionPlot that is used when more \ than one plot is generated. It must be a list of plot ranges, one for each \ plot."], VisualDSolve`VisualDSolve`Private`\ CheckSystemSolutionPlotInitialValues[ Pattern[VisualDSolve`VisualDSolve`Private`ivals, Blank[]], Pattern[VisualDSolve`VisualDSolve`Private`tmin, Blank[]]] := Module[{VisualDSolve`VisualDSolve`Private`pts = VisualDSolve`VisualDSolve`Private`ivals, VisualDSolve`VisualDSolve`Private`dims, VisualDSolve`VisualDSolve`Private`pat}, VisualDSolve`VisualDSolve`Private`pat = Alternatives[{ PatternTest[ Blank[], NumericQ], { PatternTest[ BlankSequence[], NumericQ]}}, {{ PatternTest[ BlankSequence[], NumericQ]}}, { PatternTest[ BlankSequence[], NumericQ]}]; If[ Not[ ListQ[VisualDSolve`VisualDSolve`Private`pts]], Return[]]; If[ MatchQ[ VisualDSolve`VisualDSolve`Private`pts, VisualDSolve`VisualDSolve`Private`pat], VisualDSolve`VisualDSolve`Private`pts = { VisualDSolve`VisualDSolve`Private`pts}]; If[ Not[ Apply[And, Map[ MatchQ[#, VisualDSolve`VisualDSolve`Private`pat]& , VisualDSolve`VisualDSolve`Private`pts]]], Return[]]; VisualDSolve`VisualDSolve`Private`pts = Map[Which[ MatchQ[#, {{ PatternTest[ BlankSequence[], NumericQ]}}], Prepend[#, VisualDSolve`VisualDSolve`Private`tmin], MatchQ[#, { PatternTest[ BlankSequence[], NumericQ]}], { VisualDSolve`VisualDSolve`Private`tmin, #}, True, #]& , VisualDSolve`VisualDSolve`Private`pts]; VisualDSolve`VisualDSolve`Private`dims = Map[Length[ Part[#, 2]]& , VisualDSolve`VisualDSolve`Private`pts]; If[Max[VisualDSolve`VisualDSolve`Private`dims] != Min[VisualDSolve`VisualDSolve`Private`dims], Return[]]; {VisualDSolve`VisualDSolve`Private`pts, First[VisualDSolve`VisualDSolve`Private`dims]}], VisualDSolve`VisualDSolve`Private`num = 2, VisualDSolve`VisualDSolve`Private`eqns1 = { Derivative[ 1][$CellContext`x][$CellContext`t] == \ $CellContext`y[$CellContext`t], Derivative[1][$CellContext`y][$CellContext`t] == (-8) Sin[ $CellContext`x[$CellContext`t]]}, VisualDSolve`VisualDSolve`Private`yminn = -0.095, VisualDSolve`VisualDSolve`Private`ymaxx = 1.41, VisualDSolve`VisualDSolve`Private`c3 = {60508443, $CellContext`y}, VisualDSolve`VisualDSolve`Private`rhSides = {-3.02542215*^7 + ( 6.0508443*^7 $CellContext`y)/( 0.125 + $CellContext`y), ( 1. (1. - 1. $CellContext`y)) $CellContext`y - ( 6.0508443*^7 $CellContext`y)/(0.125 + $CellContext`y)}, VisualDSolve`VisualDSolve`Private`arrows = {}, VisualDSolve`VisualDSolve`Private`projQ = False, VisualDSolve`VisualDSolve`Private`yR = 1.505, VisualDSolve`VisualDSolve`Private`iter = {$CellContext`t, -80., 80.}, VisualDSolve`VisualDSolve`Private`dompts = CompressedData[" 1:eJw12HlUzF38B3DVhHpCEdGivbRq2vd518w07TPzHSpFIUkR6okWS0WkRUmk pwhJSStarM0tImtIJSIkT5aeFC0q/Dq/n9/953U+n3M/93zuH/eee67q2i1U kMi0adP2iE77M5YR/2++k2ZfBCR4YHKRxXUBaXn9w2RztIC0Ohjv9lQSkI7C 0GbDRopEV05yh/dQRP5qesc1JkWu3VIJ2EOjiFA0NEi2jU8acWlj0Vk+ado9 GW65nU/y3WPeVJrwSZT8iKf2II/w+iJu5FfwiE7tgN6CTTyyyotm4G7CI2r9 9JW0YS5JNvDz37qXSwbDEld3yXDJiV2LnOzSPYnLwQq9fElPMnycKfN7vwcp KHs+EiDmQTyvh3WROHfC2Tx/qbO8O2Go3EhoqXYjlk/XPfPiuhF6opT264+u ZHWF7Euns67k0HPFjMrVrlP9ajIXKrqSAX2D0fgOF7LY26z042EXciOBZfBD 3YX4lQkqZ9Y4k/H2tfSFTs4kRyTiknYHh1joJ5hZbOCQNq9DdU4/nIhu8d97 31Q4kfhRL27sOifSxrFWkJWfyuco/VvewiZxfdMucfaxyfZl82dpGrPJJqIT LNrNIoH69g3dqSyyIodSuGHJIjxa8LbcXibZp3hbpTOPSa6Zaj6Qo5jkq3ti lNdMJtEK6lE7Wu9I/HY5PmqNdCRVbVfH/1vkSGiGJtqSQgeyYn+pQHOdAyl/ rR4PCQcianG8zK8CxDtDtnO7AMRw0Uqj4AUgUk6cOZUXGeT6ivYbGZYMsjEs aNPWenuikPBdns+yJ/eO7L1Lv2dHYs/NjZ7LsyM6109rfWuzJZ0tRm2tfrYk 6OJnmsNHGzJ4pMi0YrsN2RW1Zp0CzYZI+CoeOZBpTbJtO24OL7YmasqHv60t syKRYZR89ywrcufaXAe/LZZEXrI1uOOxBQnzyUoXGFsQUiSoackyJ3OH53W5 DZuRIOYz0WYvM0JrO1t8/pEpObM+yv2gkylxHHMe3FJvQt4my2dT5iYkXuGL tVmFMVEuv9Etp2VM6u0zEsdP0Enay8Mk24hOfKOzJ41vGpEl83MtW5YbkS+B Nh/bHy8lB044rpkzYkg0Olw6OQqGhEjz+fEwICtdfe5eDtInY3sDHAZT9MjR G+uv6FTpEvpoGH1tmw55aLStJHd8CQkJ3anaqryEiBfu/ecvtjY5/SpFhhWq RezkDifvzNAknbx/RGqqNci2lFMx/Z3qROZW8aDmbzVS/rMixF9Djbha1L7N dlElSbaL4245qJCUvVJW7/9eTKand/3NWKdI9uSUVeQukye3t2VZS4wuJH8J Ym9H/SNHuEZrqA82C8iRWc6vl72WJc8/GYbejJ9HlJrnj9DV55I1ZycTTjVJ k5duNwvX2M0h390PsvcMSJFZnt4fCk5LEi2uatJNwUzC4H3Wfi8+nfjwa5pp l8VIWmX68P1zImSvwmOWlslv4ZeOPfnVshNCryNmY44jI8KpA8t/0jEkXCZv 7i2M6BfaWx5tz4nrE+p6fV8ekdYj1OkrOn/M+JXwt3pQiat7q/C80Ik3cb9R SLzCvl6UuiE0NPTAloRqodlfvireX4qFtn3rpzG8U4UG/5tP/BPv+OPGP/oJ //9mevJUNUGF68f4Pzf+cQdDyb9ztc+OxD9xKiMq5+dW297iP/lqxq8Bk+S5 tBuMr7jjs/52IyPe/LGqwYOnjKQHtnLaZl0MzoVl+6Vb3jHcJiUTDu79l8Hl NOyQtPzCKPxmM9oYO8g4zTxWFd/5nZGfNRRibznGyOvxUJ/MnmDkmJR0XRn+ xbjvIHrfRlcE62+xTj9bJQYRTlJUWKY4jt+96zG9aQYs3KU0To5J4Okjz3EL fSmE8TMfPw6YDdqnkNZqF2lQeqn2CYEyOLmprMRj11z0lz+UlT82D9YD/8V9 qJLFASPpzxfvzUd7ON0r7v0CqF+iGtx+ySH8+9/6CxcuQr3Z0WPv6fKQiqoV veCmgBWXO8J2BSmi+MfYc5c4JfhKz7pnd2MxZmmrXqNPKONNvnz74eMqsD5f +CjNRhVZNYZ39r9QRT+5LIyPUYPTA8fLsQvVcarjQVVknTqepWWXGXlqIHYF Ky3vrgZUtIY2Tmdr4vbQSbdwoomNQg+9LhstyKRNSHLqtFDnU/LpgrE2Vml6 31Os0IbYEO18ks4SlNRfTB4qXAJu6uqQVSo6GPae7dKcp4M1zJc60SK6eGR4 TnJJsC5s5Ld97nigi2JxxwdJxnqQHZxdbpGjh/iulwf//amH/jvnNh8L1Ifv pW1czl193M53NBo1NIBJyhyZ4iMGUFbxMX3bZwCp2lPeCnaGGHP7GLs80xC9 b+n5Gb2GeBIV23DXaik+LPj4rnT3UozXeNPSby5Fkm7PXEuaEWRic9VLtIxw 0a/B7p2jESi7Pm+FACN8ep523n+7EfZE0n+ePmgEeel2bm+hES6UxhYsuW4E F47y8MZWI7x9d5NT+ckIMbs35A6J0JFwnopokqUjud3WNUebjkOi2mobrenI MZQZt/Og45TvxBPp1XSc299b0hNBR9XFloTafXTUvb6yIjmHDqFkIX1lKR13 zNMlltbT0bI2+q3IEzo60tdeedZDR/dV98ziETrOaDQZFM4yxkxtzmiNijE2 6dwld0yM8UTPLaXTyRjmhg8Fn1cYI9eIq/RzkzF+Gz/5MDveGOvMBFUqWcbg Z0YZfig1hl1/XlnpLWPouhDd8FfGkDv7/pz5iDFoIhLak7NNMLjS4GyDtgle XearJ8EE989zIgP9TXDluF0TY6cJitJNFijmmuBIvE7wWJ0J9kQoX37WZoIt 6+ZLXPhmglVef/kelDFFypL6nuOWpqgb3xpWFmCK3gfqo9f2m2Luyfb4++Wm YIQnS758Zoowpu2RTxOmyJ0/oDSuZoZiQVzqCV8zXMqc8wOHzUBaTq5/f9cM D2cZPUsSMUenG3HQszLHh2Re5aOt5vh2541ixDlztN0//mb9mDnqWnwK/Zwt kNsqu4GXY4GdHY/12H0W8H+ZNmBlaQmHbudLhgcsod5Di1J/bokT/zhm31a2 ghwvviYk2Aq7GUoyxies8MHw6qbxp1YgbZtPHfhthbyd6s8W6Ftjm/rzGWd9 rMG7l2Zjss8auuEOWxouWIO2cKSA+9oa3fXn219J2uBKUIDkJgsbHJGStR8P tMHmS83hBw7ZYF14wrbgahusWGod4/TcBtz+oZ2akzZglZbG01RsYRWyLrGH aYul2koHGoNtodHblno61RaLzqRnxFfaYs4aTlZAqy1oytOO2Y/aYrzrcq6S gh0GcsPzJ+3t8N5Ht+DlWjt8P6/Q/yTNDrSfUpbNtXb4eOuq8GeHHR6mbeCY /LDDxWULWjbI2yNb8ZZXvo09drwPf9260h4BZcrrJXbbgxX5sN/+pD2W2O7Y FknscShtv+KaH1O2270tWcJAhsrw2SFvBtJDy0Jtkhg4WB24NLGWgbRf8t8f 9DLgpBHSlSIJsO/esl+qNuVmldOtVgBr3k6xaP6UlzuCFEMA5iqTZhI/pWiG blDOlMWf0iSqAEd3p4HyO1MOnuZT3cCw/5k1FZNAyYPCcEl5B6y0LkpYb+EA 6XPFmY3LHHBzfsnpxREOiNp7/kJshgN0B0sb2ssc8Nq//InxPQdctCstkfrg gP2KJQkfRBzhO1G0gig5wvBFIT3XyhFiVwokIpc7ouPYqbce4Y4o3Z5/Rfug I+KWH88UKXGEwDQ35OUtRyyZl+NQ88YRk4NHF2VMOqJ+c/72grlMxH8uaq1Z woTDhkqju/ZMiPXWHexaxoS3g/8F8fVMlJ6gtRlGMeF5ieMTu4+JoeaUl01Z TGS/fugvU8CE1XfpdyurmHglsSzoXD0T8l7XWCb3mPAqUNOob2Mi679kMZe3 TDy2HnzX+oUJqSSfRv8xJmj6d0ZlRViYfGxmcF+ChafSjgsbpFko4XmK1cmx EH/I97+yxSx4P17fWaDJgqH037dy9FkQ58VVppuw0JWRmptozcKjwTO5ymBB KLiee5XNwoWaZ7nL3Vg4I9ef+5XHwpEY8bxULxb2v1TK01rJQrSdeV7DGhZC TnrmrQxmwU8kOG90EwsegXF5hyNYsG86lmcQzYKRdlVe8y4WVJOb8wL3svA5 12WbfioLUjtSuNxMFvT97utEHGPB3UaKdvQEC2EKHq/rzrBwcOLg5RclLJS/ fHT4Z+VUf9fmhKnUsmA6R9dwVz0LuWtZA523WRCp9a8yb2EhWCImPKuDhYcr s4y/dk/Nqyr/5t43NU+subrkKwv+Z/Q/RIyzoMbMlLOlsfHvu2Fn8dlslO7x jX0kx8YWNWHpMVU2TBvVX63WY2NszYHZumZsnL0dUVwDNgR6q+Dgzsa0Q5zO B95slH+nR/gEsuG7QvGv95vZmFk/vXBLLBs1aoO2E/vYcKk9VLcim43XLkbG l4vYiHjVUragjo3p4Vu0t91hI482p6C1g42lORWKxn1syFfNSwsQdQKtOXoi TdEJA92vQq+aO+HFqOOLf3lOaJpzzmX+RidUac+64rjPCZ9PL9FuL3SCtiLr aMgtJwRmB4j97HFCvvSO8ENiHLxIye5WV+dgvvhFjzpHDvhxD6+5ruVgAzOK uyeDg7gZqj1XrnNw9P697YMfOSjLiJTUkXPGTcHi/NUsZ7yQa6bnhDvj68vw ppZ8Z7ySedJ/tcEZdzlGC4reO6NmV4Z95gwXnL703/qdui44+NEjI9jDBTHK 5XXUVhcELZd6Y5flAmlNnw/3ql1w7fuZL97tLlPvqIGh96MukDli8yN8kSuu Byb9/mXtinajxqvNy13x9efktsNbXSF534K+MnVK/W+1rNNTHqywNahzhcR/ IY3zH07J1XT+9W7KqjcPP4xNKXNc0DLbDRIR3p11GlO2zg04ZT2l6aP3B3hu cJ7Y+8FprRsONFr10SLdcCd54GPjPjdM55/9HH/MDU4L/frtS9ywr1t6YPKq G5qKbn+9+sANtM07h6Jfu4FpZvzd/Ksb9k7+O/xdxB2NN0+MXpznDtFUwY+t mu5woCQmDC3cEVC5e9tVV3fslvo+wPZ3xxFLw9CYze4oXbfhfdnuqbpDBf5v 0t3Reb3r+byT7hjoWyDgVLpj+nz+w1ihO5QcUjkVLe4wDWtqeNvtjsLl431D I+6QtV8qTZvtgUStdRbzNT0wPPsffy1bDwSNPtxnIfBAW7douXOoB9jNFs9W JHigtmrTRGiOByg1m/hj1R4YyJIQv/XYA2niz5O/fvGATlTRbCUJT9zui8xy 0fREoC9z4XYHT0x7IHOiYJUnTti9UW2J8YR1ZUXRxFFPdKjs0lty0RORh92q lj3yRKe11cL4AU8werTiS6W5OJsq29dO50LSVJQnKuBia9dAnUEkF+2Jr5RX HOXCxuB+UmItF2tzVsXc6OAiWexr6MgYFz4WDhVys3j4vElSu1qJh90FrSd5 hjzMfX58Yb89D2dnrc9M5vJgyVwqqbWahwfRY3sat/IQUNEw4Z/Aw1BPSuRE Jg/7Fy3rP1bAwyKu0nrTSzwwZ7GGY27ysPl+aKKwlYec5Mx54u95aORcLnD9 zkO/eDf9EI0PuVviDW2yfDjs0ecpaPLhwSjNPGnMh8+kTqs6+Fh35ZzsOQ8+ tmzX9tL348M7+4L11yA+7GttlKu38qHV3iQWvYOP2SPcPpv9fEzIjC1MSeej z+CUy/NsPtpcnGO1TvKxavuTmK9n+egt8I25WsZHWEtPdOIlPkYmNkV7XuVj 95KRqIUNfExfHhf17g4fGQkzo8oe8ZFv0iWsb+Wjordy5pPnfIh9Go4s7prq 4z+bt7ve8FE2lOCx7D0f00bvXNHt42P5xCwtkS98lPwWHO4Y4OOXWO6v8m98 PLXoXVY8wkfRRqPSUz/4iDm5QyR3cmq/rbe9s37zoTpjbkWaKIVh61W0/eIU 7m4+5xs3k8KJgm9V0X9RCG+3nxExmwJbMmXVRhkKi+zbLq2TpdAfriLpL0eh 4ezG1d7yFFoZJ+kSiyl01Xw+P0OVQq+epcZ0DQoDpxNP0LQpjMk9WSCmS0Ek XemQiAEFSVqoxDQjCrKxtXt+GVO4deDFVrYFhchjv/zTbChoFKl5tDIoPKt2 spFnUdh3M1RnjTMFs6fpcufcp9Z/c1F8gEehfLygvmP5VJ1sVhTxpWBruNeo JIACzfnvj5nrKNxfE1gQG0Iha4fAL3AzBb+jTFn3vyn8ZGh0LoihcOoTLf/t bgqOR3vXliVOrcu4rR2VQiHpU9EXh0MUdI8mXZDKpvCAsWF7Rx6FnF4f7cWF FAJTXZ6vK6NgSLdOLq2m8KNd13roOoWmnQqfLZsoHFKTOh73kIJ+scrHihcU mvXMzF//O1VX5bJ31jCF36b+j21FBci7EqG0aY4AFvZJoXmKAtRtqRH6Gghg frpHVt5egNqnMqGdnlMxDcKcAAFqzDbL+mwVwCz4eIhcwlScc6++PVMAfeXl njXnBDhztvtVllAAef3QsIh2AWYtqDG3+izAn39A/A8fVvdh "], VisualDSolve`VisualDSolve`Private`getDomPts[ Pattern[VisualDSolve`VisualDSolve`Private`ifun, Blank[InterpolatingFunction]][ Blank[]]] := Map[First, DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionGrid[VisualDSolve`VisualDSolve`Private`ifun]], VisualDSolve`VisualDSolve`Private`getDomPts[ Pattern[VisualDSolve`VisualDSolve`Private`ifun, Blank[InterpolatingFunction]]] := Map[First, DifferentialEquations`InterpolatingFunctionAnatomy`\ InterpolatingFunctionGrid[VisualDSolve`VisualDSolve`Private`ifun]], VisualDSolve`VisualDSolve`Private`ic = 1, VisualDSolve`VisualDSolve`Private`jc = 643, VisualDSolve`VisualDSolve`Private`pptemp = Graphics[{{{}, {}, { Hue[0.67, 0.6, 0.6], Hue[0.67, 0.6, 0.6], Line[CompressedData[" 1:eJwt13c81d//AHCzZIuUQpSGFKWy6uMlMkIlkVlJGdHQQFSUjCjZqWTLyJ7Z x8527XnvNe91r5WZQn7n+3j8/HE9no/3Ou9zzmu8xS0f6lsxMTAwbOKf//3v eHhza6tQEDD8/9+LT+Z5IwtB8GxyKLTZOU75Pw5zueWmYJC1zvZTEapS1pKX fc/2LQQWRfSX1rS6lLsHOFL3uIVC8hPjE8pMo8otmh3G0kZhEMYRlFAqNq38 4Rnlvcrxj8B/0IK+XWVJeWF+Vk1/WziETr95pB64pnzZI1Hj9mg4pBq8iKxk YILzAq9ePyn5BBZMhvs2G7bAKunxkkfoZ+gTm74yuJ8TykkvPgTd/wJZK2Pe p7fyQQHDwLFojQiILH+vM31eAD4yUfNT936F4HlWEYmmncAVx8D+Y/UrzO6y Ep/7vAc+ZDXHN3yPAqn8sPRqtn2w8UUhi/AmGgI6bzw4e10CKJzbOeylY2D0 X63A/p6DkLLVq/L+1liQ++ucbXb6KPyMd86ZeRILdexwunCPDKhvjsfdG46F NjW5+Uv8J2Arn6GeTVEcZEes/OAzPAXRhnZLowfiwbF9yPAunxz857TX+npw PKw4zo0JDMuDrO2HV5fsE6Bdjf+oc94ZyHIiHBYTSQTyUH44TVgV3lZldgX6 JoIhL/O3L+fV4I59DXVzORFuO6zPeTqeB2E2X97+1iT4/lljjHNRAzp19jM5 vUqBmCbH93uv60LRHqaXfdMpsOORa3tb60VY1olbUTD5DnxJR7zrL1yGHbXz 2YsnUuHBBtG+5dgV0BbhHrw0lgYeZ57sf+FsAGpR5sToy+lwyK4rNNDQELg3 3z6dLUkHqHBr1VO4Bnr0/iOeoRlQGBxs2sdhDH47XYTr92XBbMwvAdEpM1i5 1v0koDMb5B4d2ZKqbglJf2cSjnHn4Pdka6ZSLIGheC+tQSsHPMvExaf9bkNI VKL3elkOSDxZIVwcvAPXOG8JXkjOha0yfplekTZgOfbK1/lFPrg+tE3VTr4P Grd8vy0U5IPU7W0FGk4P4Kv5R1X7+XwgWHNm8Ws+BLcrKwMG1gVw/vFPi6Bn DvCfc70rm94PEJAMyg0++RjOKIqL0fYVARmSw6JmHIH8yWNI/noRXNDK9daw d4LddxdfvwkvgtYTBt5mdCf4Op11i4+zGIZjt3a3TDtDgXnYzS3LxfDxAp/b IJMrrEyYfdWtKwViRoNt/xM3qGQ7Psx4sgKS7Nurkk57wj3JC17MlypgfXTx 2ICXJxTkuJ5nvlsBXk3xAZk9nlBvIMOwEVUBWdI9iWquXqCx9up3H3slSBjM Kgk0eENomzanzGgl6D9TDXjg5QuBUkjjVEA1xB79HFrhEgCPOZnjfqVUw8Lv lFUvUgCkOTW8/V5TDUpjul2r4oGQYNBHEfxbDbrZTUduvA0EkSdpd9rv1MD1 9OtDvCZB0HBEXaZBsRYOllY2irGHwL5pk7XYkTogT3IZ/pf6EZpvH2P0WKuD +fjeMhrlI7RZNQne3PETlPwlXlP3hUNB1I6bvBd+wsZSrlpvRDhwpWqMXMr6 CU8DnSbfBn2CqR2/7si71cPaMuvx/95/AX9znj8hOxth0kbF5CiKglYTqxDO E43wanlCYSdrNLwc04x9rd0IDeH1KQY60dCRw8Jy62Uj3DcytvrZFw2fbj00 WRptBEP7lti65zFw5uV0pm16E7z4cD1XLy4Wnr8pOHgbWiC3LXIqgDsBlvgO 73MzbYH1DXmlvUoJcFj9oFSoYwuoFx3IJFslwJFAsnZ2aguQSw7uXSpLgHsa VYyZO1tBRvBaqL3DN7Dvr+fOmW2FY2tsjeGkROBznJDV1yVA5zdn6ho5BaQ8 C9N8TQjw3mQbtYDvO7jVnztTbk2ApRfxLvFq36HoLd1H9DUBtmvE3uZL/g6n Xz11LMknQOS5XU4qT1JBsKJY57ZoO4B0Q8n09nQcn+/k9WbaQejP4VfVZ7LA znhpRfNPO4y2ibESDbNASTmn8ixrBzSV+5zidMiCW/Gc90REOgB9rQ5MTcgC H1X9wmLdDvh6s+/ELHc2VF/oumyZ2gEHT0Wle1CzIenw5VeXrDthLWvo/ASO s+QAhUsjjzqBOyBQJrc2F+ZN7pU7vOwEO7Wi/I+jufCwOOiZV2gnFFJ8g6OE 80CgnrLiVdUJppy8btlBeVCdai00LNIFccpL7aPu+WB24Qsabu8C4VbiEZt7 PyDtx3WvOWIXuIfO1fh++AEOmT7df2hdkLznkGdt1g9Q1nnCzMjUDWw5Qnff Lv+Ai/FWu/tPdAOB8v7DmVeFIBvCcjktsBs8TJ6zGX4pgi9HFbvKtXtAy4Ps rzhSAk9eVEjJXeuBcu33/q5bSkHr7e0Xybd6QCokWblLqhQ0+hJXXj7rgUPX YxLanUph97P61qlvPXCZEsuxxFUGIv6vt7Zt9oD+Kc6ATpVyEF7e0R2c2Qsp 2oMdduYVwPbn7Nyx4l5ISw7WO+lQASnvDsVW1/RC4PWeG1s9K+BZ5YtiUn8v vJpnF+9IrQAH6UiNTuY+KKq/NTm/VgEdx5mGs6/1gVvtwJhRVCVEa70tPbDa B5K0LP+EqSpQOfrhMAdTP+y/HxDax1ANZge1Iukc/fA5oqdgp2A1pMD8h/C9 /fCAwPnfD5VqEJet25Gi0Q+lnkJDrh+r4cPj6brEkH4gPiyp4T1fA77+iQ9n Dg+AX4XNN6OkWkAfXBMenBiAdikDbsvSWvh6iXiUrjgA3zWVIh3ba4GYz3qE oD0APuHP9hSu1cLLzuFHRvcG4HStxd7venWg0Zm/Uy9jAGKrVh8pr9fB/drL zYRjg9BXLUNmM60HTw+LD2GnB+E7w+JlGYd6KLHUPWnw3yCEG1deuuFdD+wd PLuQ7iAEhXYMd+fUwwf9shlt+0E43seFjnA2wAXuxy3ySYNw1lY40bqiAba7 ebhd2j0E+xn272SUaYKuz1ftyeJDYLHzXtx+rSZQaCxKtpUcAgIhzvbyrSbw mFVmvaMwBLM2o55VIU1gPP2va8NwCDJ76DsE/zTB7Ar9YnHAEPTKHrxjX9sM 39dFvyhtDEFjkPK/0Dut8E/brLeFmQhDo5z0VrdWSPinRDFmJ0LBzUwWvs+t IBrWaXdtJxH2+T6OSW9pBXBZSJs9ToQ9VzZsNOXb4O+8NGOQJRGkT1U++ctK gFdqIzqeiAh/Jb6GuRIJkCcYJpteQ4TTI5dYjtAJsGil/LG1gQifs8Tdh1YI YCKzrelvJxEiHcZ9tHnbYdK6NHmVSgS1m9vva6u1g4Ts64NvuUlQcj4Tdae0 gzUkVsnzk+BMQDI9t6AdctKkCsg7SbARUDwUWt0O9xMXPu8SJ8HZvxSWm8R2 COTJ2C59kgQ3zMKm+fk6IPJ1VfGEIQmokVT99WcdwPd4Z66QKQl03AtpLN4d EF+uQFS/QYKf0hFMvCEdIGH/vMzbmgTr/xmkHEvvgMGrvve/O5FAV175svdI B3zvL6c6h5HAJyFqKlm7E6L2iwntbSHBit2drGDRLijwuf9anUACwZfXA6Ol uiCG6+KJO50k8C2b185Q6IKeMLlbfv0kUK+9rNyu3wXHFYY7XSZI0NIRGXfU pwvAljdpbI0E4p2trqd/dcHeFpc2/38k0LP4MXN9owuGjO5LHmckg8Sf2QUf 9m4YmFy7f30LGeIc62KHJbrhvfKKiCkvGYKzn/IkmHRD0oTJmcF9ZEidLxd5 WN0N0R1PWdkO4OupW/wyCN2gxKU8f/QQGZje+inPEbtB13Fc8qYUGboW0f2n q93gfq2C2eokGW6/O3fb/1gPSK+8R/qnyfBqsSagR6kHrH8LhSnIk2H0mitZ TKsHzA+7+U4rkcFEfqW70LIHYtwzni+fI4OYTmDkcngPpCm10+LVyED4UHdL E+el4f1WdtrqZNirlrL/S04PvFP8FuuuRYYwio+/aksPPHKnkv0ukUHZ+bRj FFMvnC9a6vtzmQxPo0zjfvP0Qmfw+ojFFTIcZjNIuiLSC7PEin07Dcgw+673 AJtCL0SOvLgmYUIG59w0B7f7vcATfvzUfVP8vkoPRxle4OvvNxakmZGBV1vl gKdfL8g0iqTw3CCDU8woq39SL5xa5tp18iYZck5GhW8v6AXr91eOXLQggyL9 7OgnnBePaqvIW1mSYcp01TdppBekBfeduH2bDKu3NgdkfvWC/OeaZqM7ZBA8 WN5c+K8XlHiKqBLWZNB0l3dt3tMHsUnnrDewlW8NSRod6QP6uVXPZhsy8Hzh shxV6IP1OvPYS3fJ8C+FdvWvYR/IGp2LYrQjA0OrG6PPnT6QOFWpmIodM/p0 r8CTPnib5fxEx54MV7grk2Jf94HwfgadUex0OeNQmcA+aLSSqHh4D69f1yyp LKoPRD1VOxex1+cuvdZN7wNpGdNu8n0yRB29m2/X2AffUrRrNR/g9RPYd+Zv Xx8oDO4zTMTeZI1j8KP2Qa3SDa81bFuryU2hlT44As+uaT4kg0/Ykux3ln4c 19P1vtjv/tSGKPH3wxyfHLEKO3HJTLhJvB84WgkhC9hM9Pw6s+P94MiuMLPL gQzNZzvfTyv3A7sylXYa+6Reru3Li/2QQjbxu4B928fQgNu8H6StOdquYr9T L7oQbdcPzlrOhQbY3TNE1eMu/WC5sUtTF/vxWJVipU8/tKzZP1fCDva1Oaz/ sR9Ci6cM92JbqDWxjSX0Q3gWf+9fPJ5tT2e6nuT2Q7bBzc1m7BK3Fm+Wqn6o EtFuC8NOqLPbFUboh0SPy5qG2PMZNW8OkPvhzF+6DQd265eBqvyZfri5Fn6i EM+P3Uxqm/o6fv/19gQz7JVtCgnd7APQ4ChQtYzn++tVNyUroQFoHBrw9cZ+ d8zt/dIhXMeSY9a5sOf+yoW+kRuAEr2R3e/xev0WTdbZrj4AVjq7JhiwCeuE tJirA5DGU2l2D6/3t99Z2dKWA+AgYOTeivdH0mNNg1KHAfAnGOodwmZtD/lw wX0AahZm10ttyVAP69mWXwfAca504A/efxHffn2Y/T4AZpkrd49hizZGT7kU DYCe86/YZ1ZkQGJ/OQN6BiBMpONr9C28H8pPXMzhHQSXtuAXCTg+nHk+pKqI DsK77C06sTh+smOkHrdKDcK5S5cKPa6TIbZR78CkxiCIjWotjBvj+RG/HM3/ chDiuAKsUozwfJtXlnz1GwSLPwIEq2tkMLxdufvAJ1xXTQ4G1F3F+2dnkP/J 3EFYPqXTeQjnhxjG51UatEFwNn0umqZLhh0vbB42rAyCCsH57mEdMpjrSivq sAxB6tIe5m04v8SffMSru3cI+IU2LO1wfvrL2HdBFdfRu7t3d2TI4v38r79h vWIIHjv/jc89ToasEB6+h61DcFXJ3S9LmgwczAxSw4NDoAfHvgYfIUNApEFt +coQnLAWZVwVx/mQIX7n/aNE0Dj04MIFHjLcc/G+4hdOBK4NHhkCJxkst17I oiYQwePhyfOX2clQdaDzi1oOEY48K2CWYyXDxXOvGX83E+GeQtaWxL8kyJbd 81mHiQT2T9+F8o3j+vb7N0/yPRIY/JrXHhomQTUb++Ftz0mgzwiLkUQSPNv1 R87WF9e9xXaJLb0kqPKNlhBLJIE7TcPUroEERq1cGU5kEjD6NL32TCMBX57D fBHOo/GrW5NQMgmULz3YtorX7VsYw9R8AgkKw61qT+J9m6JtOnAmkgRzFn4C CX543A/2fLPyJ8ESJc3Nphqb5+QNfjyueW2pl0q7h8Hh1gVUaUMCypzKY3Xx YfhdOWVvcxvfv2yC5/LhYai/6p77CdfjNidvpRtyw5ARzWESokWCQ6vEbff0 h+EbQXVyah8JhLLHfNX8huHtrVrrc+1EGNaUHGhfHQbooQ+vNhHxd+D9//w3 h6Hi8fPryXVEeONXz6W5ZQRavZ/ZzZUQwf4gw0w+/whU/JuWFk0kwsUglruv pEfAj1P/CaMLEfyc9kfX3R6B3/Ldgb93EWEXkoxlbxkB6RdXtxZsJ8K7lt62 gM4RKBIpnrvHSYRKnbPH+AdGgDBqKFGzOQT9W97cE6COwBGz6+67KENg/ubV TwbGUZDnNZExzx4CXc0NE/dTozCzcajzrio2mnjI9mUUyo+kxxSdGYJOy/2t Y9GjUITM1JhPD4ELKde27NsosNHuCXgeGgLmaM+L9tmjIJMyoXSWcwjOcExm ZdePwvGUKC3frkHYmxRYRF0ZBWGDrKdpFoOQS5LM+XVlDAKNTs+eNRmEfXcv nAkyGoMpHonYn1dw3HySHpS5PgZNh8dRk+ogOHJOmNrYjkFUmaNigMQgBJ5V OYPcxuCOt8AIK3UAtgZE+/KljoHxpRta9TYDwC8wL6zINA4P293Slm8MwCm5 QxRutnEYIliUCV8bANN7mtqjXOPAejJ32eg8zmPOxaTXQuNwgS1c9o3YAOhW ft6VcHwc/gr43M/q7YfDLTntT26Mw4ropp3HuX4o36XxVaFwHHxvvtSeke+H sFXbaFQ2Ds615cb60v1QIscifL56HKbCU/k49vTDgQvcbuqt47DDkc9afqkP UiRMmyXHx0FiU1rM/VsfvEne0+DMMwFMU3ZcVPy94iWxS2D/nQkIqGnivvy3 Fxpqa4f/2U5A8MbZBzm4bnPsZr/dd38CzIi7DeyJvbgvFvH2dJ6AeHfdHYm4 DwiYJMlV+k2AV1q9oqptL6x+VatrypqAC6c+3ZOq74E4zUPF4msT4J2jeIu1 vAcmSCGHcjexSZVCg7m4T3oYqqjKQoF1ucFRl+geSJfMvmDCRYHpVE8pLyfc V9WscNvvpcC3H1oXuvfj77+PMR3CahT4b1xd59HzbkhvJlkVvKWA1JR22MTD bqCLyxOv+VPgEVOwqeGdbmjjb3i1FESBgIPC1ocudgPLrIzOoQgKbPsiTA8T 7YbHnoJjdukUCCmOnYmu6AJuz89td9spsEfTRNyDsQty928TPb+TCl7XnYTu L3cCz7L6Pd89VOjzGGExoHVC3mOzwaa9VIhLiq7Z0d4J+24m79Y6TAXfQxUX 78Zg94UJiipSoXRy67eryp3AsM+qA0ypsBD8xfCScwd4Hv/davyFCr+2mar8 sesAWZaDgTJRVMid2JYTc6MD+maSvZjjqMDNVCA/od4BRS7dnPEpVOA5JHdE XaADNDJ0vSsKqXBge5z77ax2MA/8yO7YQ4UdVTb/HacQQOnfVEw1zyQQq8d1 HvcTICM2NU2FfxLSHKS0spsJcLaQlVYsOAlC9G7Bg7kEOGYstpgoMgkE2WGr KXcCqAjyaV+XmsR5+b0fdRcBetJb5lU1JqGsXYnLKagV5m2kty24TEJKhEkP s0srCEVlnye/mATS1LFf7y1aQVn5JFej+yTIDthLBsm0QtkOSfVPXpNQwPFA ybKlBZiC4/R2Bk1CQ5rALim2FohQm+yMTpoE7sNq/C6uTTB08lXCQMckPA46 q+CKv/sEHXveuHRPgqGI1Xln/F3oMbT4a0ffJCgHPZKwEmwCenDpU03iJMx+ LvLgzWmEZQKvhD8Vv18Of07KZAPkSIpKx69NQs2tM4msV+tBndZ89a84DWL0 LWVs5OtBOrW264UEDSga04E1e+ph17vtz9YP0sCiqnXh8fhP2C0he3BRigaM 1QYNUY4/YfSUjkT5aRo49n95KR9eB6uxq7WNWjSQaisfD+6tAUZpcgC6R4Pd T56uuJTUwJzGciTlAQ123Sryvx5dAzucUzvYH+Hj/kaWu21qoOaZf5a2Iw32 ZobJ2q9Uw8h5LbXklzT4Tgwdui9QDae+bpsd8KcBj8evqt2XKsHKeWvC3jQa 2E1Wmr46WQkcjM0PWtJpcDo+1nlsVyUsBPZVPcukQV8865W4sQp42Xd7a30O DbZm5SwzuVTA188uWy4U0aDFykQmSQOBT1T8ZlctDXobd3Qc5EPgWZr3yOwn DSbucW/GDpbDo/Gch+R6Gnz8FST4zqEcMqgneIebaMCa84tf8ksZ/Ogwm6xu p0HimgdbxHQJ7F20ERUk0kD0xJ/pnoIS0JNXt3Ik0aCmVryX+3UJlA5uKHWQ acARZjP4eEcJDAyUhniO0iDHp+s5p3IxSDYEbzZRaXAnImXo/YdC+E80iTYx T4Nj9QcCfh/Nh+LuA8aaLHQYKLnp1vk7D/Zveet2lZUOuvYcHmlVeaD5lUv/ +hY6iOluGTU0zoPZ7RcZ7djooK+YUe39JhcW+/d723DSgXWMusWmPxty9KwN F/np8LjSzmFnQjYIEtKtBgToQAz9ZFb7IBvoQucOoh34/nfVOoRYsoHr4I6i 1zvpcGv6z+Y36Sx4TvhzZGo3Hcp0hFLjtqSDZ/+8/WVxOsg8MNlZHJEG18j5 n/j20eF5398bLcfTwH1941k7tt9aYy7VNBX+XvhjoC1BB1K5x+B0Rgo8bsl9 JXaIDhmWmX7jaikwIZl1mYBdf5b3RV9fMszJz3a+PEyHIY4+43ymZJg6zb3R LkmHF8aWluevJYKF4XLvjaPYi9vf7Z36Bg4Dgkbr2G9zG81/u38D41R5//Bj dCjeXSQdmZIAbRuGe39K0yGk/slS1XocnGIUGWE/QYeVlxPvWdSjocciiOPA aTqYJnv9lTCPAifLQ5CMXRhq8BieRMJU3/W6w3J0GJyvY74dGwEPI+oJ4vJ0 oD3+fd52IxwCC82Jiwp02DxVEmEuEA7NF0rybynSYVlOm0VX6iNctZwba8Z+ vpvRW9gkFBCNUy1CCc+/nlCKT14gnPocLLDrLB3q/rb0Zn4MADNDvgQH7CNm Gve1avzBlZvwrg6b4jJaZrnXD+YaVa3s/qPDblPepXHdtzDjHGRUiC3rI3Pc wtUbZB0N45mV6TDJeS1LtdsDhnMfawVjr/vYPPzO9Bp+RVnHdWNXSG4Y7LJw g/BjrEaCgM+/Er/j5Q5nWHnr3B6ArfBN5tpehydwbXMivB6bQZe8/CDsIXy9 d6r4H7bDE+vij5sWcMA9kf+2Ch0sNI6qid29Crytd3SCsCs4F3QadE7CcRuF 4VJssZyT5DxvNWQU/aBjAlvv/INdNSbGyKzJYB/nOXy/3WnXJZ7dRtwqCgSZ /zlwp9yTajt0Xt96SA87NDqnzXrrI9R+7ajmQ+xhh4orQulPkW9cL+877Dgh qUSC/jOk4pevmIBt6Tx55f3qc9RgyV9VjJ1mM9uvE+WOVl8pf2/FZr7z+dbW uNcoVtFzgYy9UWx4gf70Dfo0ciJiFvv9oSTrVk0vlNUSmvAXe9tnthe5u31Q mf5fbhZV7I0lnc8zb1FIbeYAO/aUKvWTe4UfYn3OxMaDzW5qesA65D2a/Anh vNh/ZRpyda0/IF7G/Lf/O85pavTms3Aguvw8c4gD+yNd1YFzSxByffcihBV7 rWKc0X0uCN3xvpu+jp8fbeAqNN8XjEYqqo/MY48Jn/tkWRWC6gL6OMawpYKc bnamhqIJzWW9DmzZUFM9tbAwNKNi87ccezZb9WKO20c02fmSLeV/8zH7RVHM Nhx9Hn73PBDb70nK6vsrn9A2n/GrjtgJd/Puryp9RqrUgSAjbO5LfVuauCKQ kuEMCGDnkF1tvlAj0Me3lZrzeD1n269q2FZ+RW4hNzmbsYe/aopvPo1CGjZb W1yxD/dlz/68FI0IOp8aLmHnfH32QFMgBikBo6cY9vouzZscszFo0/fuyTK8 v6bDIiunTGMR68bc4bfYZ9kyWJt+xiLlAnOiHvZtGV0W79g49FX295tBvJ8t lVJCpw0SkFFPSFs3jgdJgbWyqsoEpPwvs/oDtm3yN/tw6W+IYbD1mTp2nqXB gbNsiciavu9QGo4v3na1pkclSYhl3Cfixhl8/nEfgtLhZLRFTiSaFVuPp2qd MSwZ+aW2W33H8Xsy436E34MUZKuQ+N8Mju++ffXf34inoibzW6LGOB+8OL4Y c/ZDKhK7dFV1BueLeo88i8W/qSiq/ZXUK+xCowvcpl1pyKru66VonF8+OFIH 2H0y0EP6GXLVKToomf7qyVrMQHq/7p/SwI7XkgYDi0zE8Pu33s+TdHin3xzc IJyFxJX3jVTJ4vnrWGFcXc5CvYdOW0UfpwPB34hb5Wg2uvooeJ0Xe1bzULy3 ZTbS3/Pg+isZOnh/kdbjactGtYrohTHOj/eIn0S5k3PQVohWnJXC+3W1tKrU JA9tv8kxlXmQDvvQHlnH0Dz0OX7sv7kDdGg6RH0l1ZaHmleD16Ww7ZbHYoLO 5yOu+rHyyP102LX92iE1mQI0E6l1y1KMDmSC2OnTLIUoX2PpnoMQHr8kp1G9 ciGy52BK9t5FB2Hn8Uljl0J0Iu2LwRdcf0JYX6g8ni1ETU/7mYtxfXrtfmjd s68I7avzqRngo8Nx26fvJdJK0PTbF6Jx2+gQ/mze9h2lBEl5rn8NwPXQZ2JV fU6sFPEmlgS7bsX547IdNT2sFD0YfzKhhevpFe6DvFvcy1B1ga7sTwY6iCfY nxG+gtDU4fgy7d80ULx6bouJSyUaWPun5IDr98wVnrTWsEp0Kuz5IP8IDYJM qa6qOZXI96ayYD6u93kiOj4SU5VobY7R/NcQDV4/W2XuMK9CpUQHWe1eGvyg xXW3QTWKHbhn+g73F7smNOzPsdSikxweQhq4f+F/YK3iJFaLWMdt8yKzaLDo 10BMPluLLq5LLy9k0KAoPMZqq2Mt2ubXffdjKg3ux74wSpmoRR6PliQrE3C/ 8/HcSbe6OnRYqtQ48SMN7vIlqxt516N2UV/2nGe4v5IrH7sRU4/+OUaWDTvR wOW3i+qd4np0ZVPmIRfuz/Ie31Cwna1H/B4sbRa4f1OL3V5jcK0B7T8w7Tt3 lwbCaQM3yw80InpVq2y6KQ2cPlSMV1c1oYcml71SlWgQqjp/1H2oCe0ya4v7 okCDm/4qM/IrTaheuKveR44Gq14KLbGSzYhulyFjLkuDWrOXTdcCmxFp3fnR jCR+/s3uerXrLWhMd4YjZxcN1v1Obdm93IoEVyXba5cm4dLL/PkE3ja001Yl /PzCJJQ/Uww4erQNDVyUE6qcm4SRZ3e6T9xuQ5Fa9/Vz6ZMgJrp+TqC9DY1/ rfz2YngSmDdnhfdcI6CMVsKx+Cbcj/NS6mdk2tFm/Xy2aswksCemULaROtCn bEbOMdVJiGwmKT+jd6BLs2v/salMwp6cnsHxlQ60aCzwQeq/SThdNkIu5OlE deJcfvfkJ+HblOSizrlO5G4lvNaLvy8kbVPNRRI6Eb0rhs9QYBJEuwqnrWy7 ENuV4gD6GBUsmS8XXZ3qRvtrfHs/vqTifPSkmvt3N3p1YkLYyJUKtYSA8Z9M PShM1zplhzMVlB4y257a3YPykdpnfwcqMBN2mq5o9aAbLFdJtrepMLnMKiKS 2IMYzP/ptmhRgc3FLWPuRi+apVnK6W2nglP3dn/Hxj6kyB7Prh9DgYL8TAWH ykHE9CKgLjt4AuqmS3XfXCehrx/nZblfjkOy1p2vfK+H0UmRoxByegzIe4yu zCeMoHuRh76XT4/A4Ma+8yKpo6h3k/Q+6OMwHCvY/vZI6hgyLqQeyRMlQcWk YENaxhgKfLedyMhPAlM9frNjOWPIbiXN7+JWEtinNztIFo0h7ysCQ6Q5Iqgd lDTj+jmGVvWpj2kV2Bdr6W9G8XEZB+1oSyIILF79JblrHCX2jTuEJgwB4dCr am23cZTDbe0ytG8QeKSW/8S8HkcsccpcaTsGIW/h5r5lz3G0H/n6u7ANwnf2 bs3wd+OoJSrGmHt2AFI2HIaqPo0j+6O/zu4tGoD+BU5KQc44ElPnvUm+NADv TpRp8k6Mo6UP+/hGn/XDo+QFqpPaBLpdnJ6g+LMXxh408SppTKCl2aArrUW9 wOaqeXRNawIJiUZcupXWC6ryMkrOlyaQ4MRRZY+gXrh8hvL9mskEun6nUjDL rBfK+hRTch5MoOkIrYbSuR6wGc65TQyfQPr+8bzxgj0gqt5gc+PLBApOEpdj 2dYDyvnZ14hfJ1DzG62u22vd4Bf4b7ErdgIdXItxFx3uhuPi2QdSU/F4Tv7K f53SDfFCldKL5ROo+lxcKcPZbniZ0yn+a2wClYuo89BvdkH5uvr7rZQJZLFh u5v9ahe4SAmJiUxOoLoS/aXDGl3ALKterTo9gUaP5++6fbQLaDW2i85LE6j0 1e1zDaudMM3l1efLQkHJA+2b14M6wf29drz2fgq6GnLta1ZlBxRcaJo5eICC ckZn/dPyOuBdfY054yEKujgv75CU1AE5W7ySso5Q0LVkIY4v/h3gZD03tXqC gnYwNfx4bNIBLWg793EVCmr2URtY+NUO9orNCfJmFLR7lS3z9N522B3LpbRm TkG1rsESK7ztMMv36EvpDQoiqgi/yWdqh/qx7hIFSwpyOPOJ4QSFAJlCUc8F 71LQgPXW/XvSCRBgcrPaxomC7r14cKpMiQD87B2HLQIoSEDFfI/n91Zwpdyv GwrE4+Ga8a3xbwUHliJJo2AKet+/Ls78qBVamTtU1MMo6ENsRr+rfCtQtqqm b4mgoENqc3kGNS0wO5JtIZpIQQaOPj55xGZorPigHFNMQXsHDzMp8DSBKW/q QEUJBRlX3tORWWqEnbG01+RSCmJX/qF5oL8RPtw1nxdEFOSUeseSK74RMloZ rjyoxu93RPVmq1wjxKZ6/y1voqDjN7gddtxogNF8rzMVzXh8N7RWV1UbQDJg 1Au1UNDgjwijwUMNoBZ8Xq6wjYIWDoQkfJ2vh6HtwUzBnRR0t2aigM+rHsJR 6HHqAAV1p4kV/Ez9CRKWMn/rBylobfZF+efAnxB863ZT8hAFBeiyVtk5/gRv 04OeliQKimKPrt4GP0E4iEO3fISCpq/p/jrTUQf73HdI7JzE72+0c+Hxai2w bKaZ92MPxU6VnybWwv43CRGfaRRUF+qX+ruyFhTlnI4KTOHnFRvPPHtXC5+/ rITPz+Djaz5XH4nWwtTCxtuLixSUMl6ZduZ8DVi93lyYxla/Qxl1lawB4xwJ J78lCvJo7b1TxF0DDgdjfqJlCnqc0GBwqr8aRjzqwvhXKSh9/xvxfQ+qIVxP 72c89kRN8oLZ1Wq4JujHJ/sHX981JRamUA05eZ1zWn8p6M2rx5GszNVgYnuk 4+Y6BQn377lKDq+CKvHon8PYu4rrLgi8xD6s131zg4KU/ckZWpZVoKt9TNH4 HwXF6DC3ZB6tAsatIC7LQEUKK2lhzpWV4FUlZO3HTEXH7xn9N0evgFzj933T 2CqHPosKEyrgI/Wq5UUWKiIN0gK18isAdieXsLFS0cgTixMx7hUQ+K/tje0W KjI9ejZKW6ACOrwMM0uwDzPv9Z1cQGBkVjrPuZWKPiR77j5ThmBuz1JxCvYt G6Iw6QoCgqjz9WY2KhLSW90l/LwcItQeK/NuoyJj+0YWO/VykOMcPK2Pze+7 bvSDpxxScktsCNjHLrer6yWUwXiSYBwnOxU9VBSmRTwog0K7bwsa2IspO1mp CmXwy1uiJx97Nsah8HlLKRQt/7alY2vddTKuDS+F0eu1fCIcVJR85qUHt2Up 7FYX+PYCO+01ySt6pQQ+9D8LSME+IT9iQ60oAc+lyIAubIca9QnpdyXQ84O/ XYKTiuRoLDWle0vAPXPhwEVstirV3scTxWAVn6n4BJvAB76HU4tBX0GLMxz7 uHwwmehQDDz8xZGF2CuBXeRgOXx+H9NsL3bUy6gAzfUiED0mtrGE/d3s7dJa ZREwF/A08XBR0bjvEYEsnyIg7mwzOoy9YC2ydPtiETj9NotXxna98ufzTv4i +PgnN10fWzz5GkdTXyFsre5yuoP9vqHloltUIQSvlvx7gm0h8Nv6xJ1CYAQb 9dfY56l25uOShSBypkv7PTYppvJk+NwPyAhi4AnDJkSHLFzI/wFuVFpQBPak qkvUuusPMB7x74zGTphk/y9T5QcwSdA7Y7G95oY7b235AVoG68H/s2FBiK1A cwEsCFbx/u/84ogShp9BBdDIq3jxC7bJv1+xLkYF8IlyQysEu+9s85WjIgVw 8L8TTH7YQ/kTO8ij+aBclO7qhs1R370YlJwPyZvt2Q7Y7B2n5s8/yAfp/Igk C2w32Qj+1ZP58NmNzfwSNqdWrEXqnzzIZRBsU8T2eEQm3kB5cH64kmE/tjnX bOB2rzzYUbVtfhu2sKuVe512HsTuvcPVjtdD/9wvCZmeXJgef6SYjb3d5BR1 LCIXomC7RAD201LVtU+3csFYi/H0eeyu4b0yLDM5sAg6ZnuwRW7uNS3OyQEh C1GVX3g/Ocdrzzg8ywGp9GvqIdiWf7wsycw5kLL/h9UtbKivuxzekA29huHn j2FTe0NLLgdkg+2rlv/K8X4+cUrpQNXubLBYahWpxfFBUTIgpp/IgluXpk68 xi7r0v/RNZsJ5n5PWc5g60VHsl92zQSrMzXjSTj+7O73jmgGZcBPH8Fgaxyf CbHH3+ugNIj4bfSZF5vCf9KZoJ0GuQ8XbxTi+H44ZLbdqCcVujlkDjBi11iN ed2d+Q6jf5winXG+OMW5NyJhTwrM8O6LEsT+O615gTEzGWQ/Vyfl4vxiwryl 7KZqMqwbjHZTmajI91SM0L67SfCQZBypwEhF2yxHvpUVfIPT468nfuJ8dSpF y11S+xsYsAfLGWKvTzPahBMTQJLHYvHuJgX5t9V7ubAkQOuEf+9znP8c/rPY NNKPg1sTzDZrOD827nuj3T0RC9b7wzefYQt8Oz1j4BILXJpndB+sUdB5n67r ZjEx0Bz3xuAczr/idP9eDmIkjJtZSPrifH6MmfAoVzAcuBf3XKbhfO8sEO3H qPwRmlzeu2lifwufcDK0CgMt1Zy/G/MUVM0yt50nLwTUT+++e3WOgkz6/I2b rgTC3qtJB2NwvVn5/fXYL+E3sDbNb1OJ69mrHeaEmY8PEfVSZsf/6t33GvXO owFPUEd/f0sLroeVrWKaxfrOyE6K7wmhj4KeVjrKmva7IUlmV9fCLlzfvju9 uLLgjRws7/vx4/qrfOJkK1oPRu8tTqwsNlJQ3p45983pEPQ0PnuhvYGCtPNG XpwkhiLdQr0o758UZHu2dsG57COiWs5UdVRRkFj6xhaHl19QyUiV8Uoh7p8k XLXfbMSgxorMocwfFDRDNXoLjrHIhLq5YF1AQQfDvcSWp2NRYtPJ3pZcCjpK 3DiqOxSHsk+3vnLLwP0Sd5R+cnEC8s+fe2gfT0F9Ii9zuJyS0a8Yx4P/YimI Yzk+xmQmGb3rYX30IYaC1nXaRKLupCCekYyqpEg8f9EWwbxXvyPBwq1mZeEU JEJKYfgik4boijV5Zz9S0GjhceaUxDR0yedGfFEoHs8NQZkskXTkov4R0oIo qF5KipDIkYHCPtrOiON+Sov6S+qjRwaaf+JxPOwDru9Bqm4v/2SgHxf/sW3x p6COp/bF5g6ZiC90xenpOwr611/QeZKaif4PODO0vg== "]]}}}, { AxesOrigin -> {0, 0}, Background -> GrayLevel[1], Frame -> True, FrameTicks -> {{True, None}, {True, None}}, Method -> { "EventLocator", "Event" :> Norm[$CellContext`M$798[$CellContext`t$17693] - { $CellContext`swan[1][$CellContext`t$17693], $CellContext`swan[2][$CellContext`t$17693]}] - 0.01, "EventAction" :> Throw[$CellContext`tmaxfound$798 = $CellContext`t$17693, "StopIntegration"]}, PlotRange -> {{-0.7204140795666947, 0.4912311364579475}, {-0.06231080970194468, 0.8205645517430158}}, PlotRangeClipping -> True, PlotRangePadding -> { Scaled[0.02], Scaled[0.02]}}], Attributes[$CellContext`M$798] = {Temporary}, $CellContext`M$798[ Pattern[$CellContext`t$, Blank[]]] := { Cos[(2 Pi) ($CellContext`t$/$CellContext`p$798)], Sin[(2 Pi) ($CellContext`t$/$CellContext`p$798)]}, Attributes[$CellContext`t$] = {Temporary}, Attributes[$CellContext`p$798] = {Temporary}, $CellContext`p$798 = 27.3, Attributes[$CellContext`tmaxfound$798] = { Temporary}, $CellContext`tmaxfound$798 = Infinity, Options[VisualDSolve`VisualDSolve`PhasePlot3DVersion] = { AspectRatio -> Automatic, Axes -> True, Background -> GrayLevel[1], BoxRatios -> {1, 1, 0.4}, VisualDSolve`VisualDSolve`Dimension -> Automatic, VisualDSolve`VisualDSolve`FastPlotting -> False, VisualDSolve`VisualDSolve`InitialValues -> Automatic, VisualDSolve`VisualDSolve`InitialPointStyle -> { GrayLevel[0], PointSize[0.021]}, VisualDSolve`VisualDSolve`ParametricPlotFunction -> ParametricPlot3D, PlotStyle -> {}, PrecisionGoal -> Automatic, VisualDSolve`VisualDSolve`Rainbow -> False, VisualDSolve`VisualDSolve`SaveLastPoint -> False, VisualDSolve`VisualDSolve`SaveSolution -> False, VisualDSolve`VisualDSolve`ShowInitialValues -> False, VisualDSolve`VisualDSolve`ShowNumberOfSteps -> False, VisualDSolve`VisualDSolve`SolutionName -> "Solution", Ticks -> Automatic, WorkingPrecision -> MachinePrecision}, TagSet[VisualDSolve`VisualDSolve`PhasePlot3DVersion, MessageName[VisualDSolve`VisualDSolve`PhasePlot3DVersion, "usage"], "for internal use only"], Attributes[$CellContext`e$2962$$] = {Temporary}}; Typeset`initDone$$ = True), SynchronousInitialization->True, UnsavedVariables:>{Typeset`initDone$$}, UntrackedVariables:>{Typeset`size$$}], "Manipulate", Deployed->True, StripOnInput->False], Manipulate`InterpretManipulate[1]]], "Output", ShowCellBracket->True, CellChangeTimes->{3.4644667403090563`*^9}, CellTags->"Section4"] }, {2}]] }, Closed]], Cell[CellGroupData[{ Cell["Lakes of Wada for Forced, Damped Pendulum", "Subsubsection", ShowCellBracket->True, CellChangeTimes->{{3.465156880895483*^9, 3.465156915003009*^9}}], Cell["\<\ An explanation is given for the basins of attraction of a forced damped \ pendulum: a remarkable collection of shapes:\ \>", "Text", ShowCellBracket->True, CellChangeTimes->{{3.465156888238388*^9, 3.465156908523061*^9}}], Cell[BoxData[ GraphicsBox[ {PointSize[0.01], {RGBColor[0, 0, 1], PolygonBox[{{-0.532, -2.415}, {-0.365, -2.452}, {-0.216, -2.469}, \ {-0.084, -2.471}, {0.032, -2.46}, {0.132, -2.44}, {0.218, -2.411}, { 0.427, -2.265}, {0.486, -2.111}, {0.484, -2.072}, {0.473, -2.027}, { 0.448, -1.976}, {0.403, -1.918}, {0.333, -1.859}, {0.229, -1.801}, { 0.085, -1.745}, {-0.075, -1.7}, {-0.121, -1.688}, {-0.18, -1.673}, \ {-0.255, -1.655}, {-0.35, -1.631}, {-0.472, -1.598}, {-0.625, -1.551}, \ {-0.785, -1.493}, {-0.829, -1.475}, {-0.886, -1.451}, {-0.958, -1.419}, \ {-1.048, -1.375}, {-1.16, -1.315}, {-1.299, -1.233}, {-1.441, -1.14}, {-1.48, \ -1.113}, {-1.529, -1.078}, {-1.591, -1.033}, {-1.667, -0.974}, {-1.761, \ -0.899}, {-1.875, -0.802}, {-1.999, -0.692}, {-2.032, -0.661}, {-2.074, \ -0.622}, {-2.126, -0.573}, {-2.19, -0.511}, {-2.268, -0.433}, {-2.424, \ -0.272}, {-2.45, -0.244}, {-2.483, -0.21}, {-2.523, -0.167}, {-2.573, \ -0.113}, {-2.634, -0.046}, {-2.708, 0.035}, {-2.742, 0.073}, {-2.746, 0.076}, {-2.823, 0.162}, {-2.877, 0.222}, {-2.919, 0.268}, {-2.95, 0.303}, {-3.076, 0.438}, {-3.12, 0.484}, {-3.153, 0.519}, {-3.274, 0.641}, {-3.318, 0.684}, {-3.354, 0.718}, {-3.382, 0.745}, {-3.515, 0.867}, {-3.555, 0.902}, {-3.586, 0.93}, {-3.72, 1.044}, {-3.765, 1.081}, {-3.801, 1.111}, {-3.934, 1.218}, {-3.985, 1.258}, {-4.026, 1.289}, {-4.058, 1.314}, {-4.211, 1.428}, {-4.256, 1.46}, {-4.291, 1.485}, {-4.436, 1.585}, {-4.483, 1.616}, {-4.52, 1.64}, {-4.668, 1.732}, {-4.712, 1.757}, {-4.865, 1.841}, {-4.908, 1.863}, {-5.067, 1.937}, {-5.345, 2.032}, {-5.612, 2.068}, {-5.811, 2.072}, {-6.075, 2.095}, {-6.453, 2.122}, {-6.656, 2.122}, {-6.745, 2.12}, {-6.834, 2.115}, {-6.924, 2.108}, {-7.014, 2.101}, {-7.103, 2.091}, {-7.192, 2.081}, {-7.513, 2.04}, {-7.903, 1.995}, {-8.23, 1.982}, {-8.497, 1.998}, {-8.711, 2.034}, {-8.88, 2.078}, {-9.013, 2.122}, {-9.117, 2.163}, {-9.198, 2.198}, {-9.261, 2.227}, {-9.309, 2.252}, {-9.346, 2.271}, {-9.698, 2.489}, {-9.914, 2.665}, {-10.005, 2.778}, {-9.999, 2.836}, {-9.928, 2.854}, {-9.818, 2.848}, {-9.691, 2.832}, {-9.562, 2.813}, {-9.44, 2.795}, {-9.33, 2.781}, {-9.234, 2.771}, {-9.153, 2.764}, {-9.085, 2.759}, {-9.346, 2.771}, {-9.63, 2.803}, {-9.805, 2.815}, {-9.891, 2.796}, {-9.824, 2.642}, {-9.712, 2.545}, {-9.566, 2.44}, {-9.329, 2.3}, {-9.293, 2.281}, {-9.247, 2.258}, {-9.186, 2.229}, {-9.109, 2.196}, {-9.009, 2.157}, {-8.882, 2.116}, {-8.721, 2.074}, {-8.521, 2.041}, {-8.277, 2.024}, {-7.988, 2.034}, {-7.659, 2.072}, {-7.31, 2.127}, {-6.978, 2.182}, {-6.646, 2.244}, {-6.614, 2.252}, {-6.576, 2.262}, {-6.532, 2.276}, {-6.481, 2.293}, {-6.42, 2.315}, {-6.342, 2.341}, {-6.229, 2.369}, {-6.018, 2.389}, {-5.966, 2.389}, {-5.894, 2.385}, {-5.795, 2.374}, {-5.655, 2.349}, {-5.457, 2.297}, {-5.174, 2.193}, {-5.022, 2.125}, {-4.978, 2.104}, {-4.921, 2.076}, {-4.846, 2.037}, {-4.749, 1.984}, {-4.622, 1.912}, {-4.457, 1.813}, {-4.241, 1.677}, {-3.962, 1.496}, {-3.613, 1.273}, {-3.578, 1.252}, {-3.534, 1.226}, {-3.477, 1.192}, {-3.404, 1.15}, {-3.312, 1.099}, {-3.193, 1.039}, {-3.043, 0.97}, {-2.852, 0.899}, {-2.608, 0.839}, {-2.293, 0.821}, {-2.017, 0.862}, {-2., 0.865}, {-1.971, 0.872}, {-1.685, 0.965}, {-1.292, 1.129}, {-0.919, 1.284}, {-0.567, 1.398}, {-0.242, 1.463}, {0.049, 1.48}, {0.303, 1.461}, {0.519, 1.42}, { 0.699, 1.368}, {0.847, 1.314}, {0.965, 1.263}, {1.061, 1.217}, {1.138, 1.177}, {1.198, 1.144}, {1.246, 1.117}, {1.283, 1.095}, {1.502, 0.954}, {1.756, 0.767}, {2.009, 0.56}, {2.259, 0.336}, {2.504, 0.102}, { 2.741, -0.136}, {2.97, -0.372}, {3.191, -0.602}, {3.401, -0.822}, { 3.6, -1.03}, {3.788, -1.223}, {3.966, -1.401}, {4.132, -1.564}, { 4.288, -1.711}, {4.434, -1.844}, {4.57, -1.962}, {4.697, -2.069}, { 4.816, -2.163}, {4.927, -2.247}, {5.03, -2.322}, {5.126, -2.388}, { 5.215, -2.447}, {5.299, -2.499}, {5.569, -2.648}, {5.843, -2.769}, { 6.041, -2.837}, {6.186, -2.876}, {6.293, -2.9}, {6.374, -2.914}, { 6.434, -2.923}, {6.481, -2.929}, {6.683, -2.943}, {6.811, -2.944}, { 6.927, -2.939}, {7.031, -2.931}, {7.24, -2.901}, {7.559, -2.825}, { 7.766, -2.758}, {7.905, -2.704}, {8.003, -2.662}, {8.074, -2.63}, { 8.125, -2.606}, {8.164, -2.587}, {8.406, -2.451}, {8.527, -2.368}, { 8.607, -2.306}, {8.662, -2.259}, {8.7, -2.223}, {8.83, -2.069}, { 8.876, -1.992}, {8.905, -1.933}, {8.922, -1.887}, {8.958, -1.727}, { 8.963, -1.647}, {8.962, -1.586}, {8.958, -1.538}, {8.929, -1.372}, { 8.908, -1.296}, {8.89, -1.238}, {8.874, -1.194}, {8.81, -1.042}, { 8.778, -0.974}, {8.752, -0.922}, {8.73, -0.883}, {8.639, -0.729}, { 8.606, -0.676}, {8.579, -0.636}, {8.471, -0.486}, {8.437, -0.442}, { 8.411, -0.409}, {8.294, -0.274}, {8.264, -0.242}, {8.138, -0.117}, { 8.005, 0}, {7.871, 0.106}, {7.628, 0.286}, {7.491, 0.395}, {7.364, 0.505}, {7.283, 0.798}, {7.331, 0.801}, {7.38, 0.798}, {7.425, 0.79}, { 7.466, 0.781}, {7.5, 0.772}, {7.7, 0.695}, {7.846, 0.62}, {7.981, 0.539}, {8.101, 0.459}, {8.204, 0.385}, {8.29, 0.319}, {8.254, 0.321}, { 8.186, 0.37}, {8.108, 0.423}, {8.02, 0.478}, {7.926, 0.531}, {7.747, 0.603}, {7.724, 0.607}, {7.719, 0.558}, {7.945, 0.376}, {7.979, 0.349}, {8.114, 0.243}, {8.15, 0.212}, {8.287, 0.094}, {8.32, 0.064}, { 8.36, 0.026}, {8.478, -0.09}, {8.508, -0.122}, {8.545, -0.162}, { 8.658, -0.291}, {8.686, -0.327}, {8.792, -0.47}, {8.814, -0.503}, { 8.841, -0.546}, {8.93, -0.696}, {8.951, -0.736}, {8.979, -0.79}, { 9.059, -0.954}, {9.078, -0.998}, {9.103, -1.056}, {9.134, -1.135}, { 9.188, -1.292}, {9.202, -1.339}, {9.218, -1.402}, {9.235, -1.485}, { 9.252, -1.693}, {9.251, -1.734}, {9.246, -1.786}, {9.233, -1.855}, { 9.205, -1.945}, {9.145, -2.064}, {9.035, -2.204}, {8.993, -2.245}, { 8.93, -2.3}, {8.833, -2.372}, {8.675, -2.472}, {8.4, -2.614}, { 8.202, -2.7}, {8.001, -2.778}, {7.961, -2.792}, {7.907, -2.811}, { 7.833, -2.835}, {7.734, -2.865}, {7.595, -2.903}, {7.397, -2.948}, { 7.106, -2.991}, {6.798, -3.006}, {6.698, -3.003}, {6.589, -2.995}, { 6.468, -2.982}, {6.336, -2.96}, {6.19, -2.928}, {6.029, -2.882}, { 5.852, -2.819}, {5.655, -2.734}, {5.439, -2.622}, {5.2, -2.477}, { 4.937, -2.294}, {4.65, -2.068}, {4.338, -1.795}, {4.185, -1.651}, { 4.118, -1.587}, {4.05, -1.521}, {3.982, -1.454}, {3.912, -1.385}, { 3.842, -1.314}, {3.77, -1.242}, {3.699, -1.169}, {3.626, -1.094}, { 3.553, -1.018}, {3.48, -0.942}, {3.405, -0.864}, {3.33, -0.786}, { 3.255, -0.707}, {3.179, -0.628}, {3.103, -0.548}, {3.027, -0.469}, { 2.95, -0.389}, {2.874, -0.31}, {2.797, -0.232}, {2.72, -0.154}, { 2.643, -0.076}, {2.566, 0}, {2.489, 0.075}, {2.412, 0.149}, {2.336, 0.221}, {2.26, 0.292}, {2.184, 0.361}, {2.108, 0.428}, {2.033, 0.493}, { 1.902, 0.603}, {1.865, 0.633}, {1.819, 0.67}, {1.76, 0.716}, {1.685, 0.772}, {1.592, 0.84}, {1.475, 0.919}, {1.331, 1.01}, {1.156, 1.108}, { 0.947, 1.207}, {0.7030000000000002, 1.295}, {0.425, 1.357}, {0.123, 1.378}, {-0.194, 1.344}, {-0.507, 1.253}, {-0.798, 1.113}, {-1.045, 0.939}, {-1.225, 0.742}, {-1.229, 0.735}, {-1.267, 0.663}, {-1.289, 0.531}, {-1.266, 0.441}, {-1.225, 0.376}, {-1.181, 0.33}, {-1.139, 0.297}, {-1.103, 0.273}, {-0.947, 0.201}, {-0.79, 0.16}, {-0.647, 0.137}, {-0.523, 0.124}, {-0.417, 0.116}, {-0.329, 0.11}, {-0.256, 0.105}, {-0.197, 0.101}, {-0.15, 0.097}, {-0.112, 0.094}, {0.242, 0.044}, {0.54, -0.04}, {0.803, -0.157}, {1.027, -0.295}, { 1.211, -0.438}, {1.357, -0.575}, {1.47, -0.697}, {1.557, -0.804}, { 1.622, -0.893}, {1.671, -0.967}, {1.708, -1.026}, {1.735, -1.074}, { 1.756, -1.113}, {1.844, -1.307}, {1.893, -1.468}, {1.919, -1.632}, { 1.916, -1.797}, {1.879, -1.964}, {1.8, -2.132}, {1.666, -2.302}, { 1.464, -2.473}, {1.17, -2.638}, {0.875, -2.743}, {0.782, -2.766}, { 0.681, -2.786}, {0.573, -2.802}, {0.457, -2.813}, {0.562, -2.797}, { 0.774, -2.76}, {0.962, -2.708}, {1.127, -2.645}, {1.273, -2.574}, { 1.4, -2.499}, {1.508, -2.421}, {1.601, -2.34}, {1.68, -2.258}, { 1.744, -2.174}, {1.796, -2.088}, {1.835, -2.002}, {1.863, -1.914}, { 1.88, -1.824}, {1.887, -1.734}, {1.884, -1.643}, {1.873, -1.55}, { 1.852, -1.457}, {1.824, -1.364}, {1.787, -1.27}, {1.744, -1.177}, { 1.694, -1.084}, {1.638, -0.993}, {1.576, -0.903}, {1.508, -0.816}, { 1.436, -0.731}, {1.36, -0.65}, {1.28, -0.573}, {1.197, -0.5}, { 1.111, -0.433}, {1.024, -0.371}, {0.934, -0.314}, {0.844, -0.264}, { 0.752, -0.219}, {0.66, -0.181}, {0.569, -0.148}, {0.477, -0.121}, { 0.386, -0.1}, {0.296, -0.084}, {0.206, -0.073}, { 0.118, -0.066}, {-0.202, -0.07}, {-0.605, -0.118}, {-0.967, -0.169}, \ {-1.287, -0.213}, {-1.396, -0.233}, {-1.406, -0.236}, {-1.583, -0.302}, \ {-1.658, -0.376}, {-1.679, -0.454}, {-1.669, -0.53}, {-1.642, -0.598}, \ {-1.609, -0.658}, {-1.575, -0.708}, {-1.543, -0.749}, {-1.516, -0.782}, \ {-1.396, -0.907}, {-1.161, -1.098}, {-0.929, -1.243}, {-0.722, -1.344}, \ {-0.546, -1.414}, {-0.402, -1.462}, {-0.286, -1.496}, {-0.193, -1.522}, \ {-0.12, -1.542}, {-0.063, -1.558}, {-0.018, -1.571}, {0.141, -1.62}, { 0.494, -1.826}, {0.573, -2.169}, {0.53, -2.246}, {0.46, -2.322}, { 0.355, -2.393}, {0.21, -2.452}, { 0.015, -2.488}, {-0.239, -2.486}, {-0.565, -2.419}}], { LineBox[CompressedData[" 1:eJxVW3ecXGW5nnpmdndmdur2vpstWZJsne37fVIEFGnyQwRBjMBFpalU9Ua4 gIhcQESxUERAMF5u1KCQHwTOByQhJpQkpJIEkmw2IXV7L7k73/Ocs7+bfzaz O3PO+d7yvM/7vO+ULr354mtdDoej1uNwpH6uvvXxHM9os9xbYdzzmzM8qv+l dV9uSUvK4vuPXbSqyKNOv7p3U1lHUv7upui9aoNb1ftfLrj8zKS8rO2f629/ y616/vzkmpILk1L//Ltb6d9flZQ3p97+J7f668CWryy9JSmX6Bu4cb0nk/Ka js8uePi3bvX6uQFX7Uvz7w+nLvBqUp6/NPU/t7ou9e/Q/PN8vyt9x/P9SZn6 cUuXB/ebTcrNZbsnln2Xfw+3yBVn7/9RfIVH/adovur1mhaZuttNUa9qefAL V/de2MLn96ojlXMn+kaLHK3+xqPvjHhVygoP3dAi/zJnhge/YCj9XPe0yF0f jn2158+Gmnv63RPPtMjrHzvxE9HsU8MzW+88sq5F1j6QNfcWn5qzzjUdp1rk 3F3nTpamLg0tWvn0Ba0ydfXqb6QrfduftsovzR37gawMlTr1WU+0yqfmrPeD 6zOUNsuKVrmqKHXgDKV/v75V6uOmB2D/g62ySv8noHCfNpm6Td9LAaXt1tQm f/rdlGeDuJ9ok/++/a0/5i0JqjlvXxq6sU3+OJ6yUFDp993ZJi/XDgkqXKdN jn815dGgejHl1pVt0qUPGFQpK96r2qT24+6g0tfta5P65URQ6etOtkmH/hdS Zz50w+GptHb5bF4qAkK4X2u7vE0/SEjpxzyzXeo4CYfUjYenlg9cPP9a//2+ dp4/pPTnHmmX2+5MeS6knpjz1uEn56//wftz/15up/1D6uScl676pJ3+Darz dAC0y7fnzP7qUFBNLpu7w1C71H7q49+9HfL4RSkPBBX83CHxuaC6JGUW2SGz dUAElXbrBfOv9X2Xzr/W5/jl/PU+SoXRkx32/XR8Lu+wn0///Y0O236FKcf0 dUgdZ5U8z2SHnE29rA/BX75O+UP9oCGlwyq3U+pw/GoIz7ekU+q8uCWk/vD7 uX9f72R+hZR+zGs7pX65PqSem7PKzK2dPG9I6d//vJP+ylSpqLvmjU6ZrxM6 U+m0XNsp9XV/n6kuTh1zc6fUz/l6JuxxwLpeptJxP9op9XNlhoE3NV2M5zDi raFLzj3F1ju/E0a+dXfJueSYO2AY+XF+F/EkrFJX3bS0S+o8ejWsylMw8JMu mcr+s/eHlfbD813yhbno2VEeQfys4PuTEbx/dRfi+/wIrv9hl9Q/b4ooDUu9 XcjXJyI4f363TIX18oEI4mVBt7wwlRjuKM5f3w18y46q6eVzAXB6t8yds96i hqjSYfy1bqntfElUrU2l/fe7pT7nsijy69luqe+7Nqp0GP8P3781qgZTabGq G3jxeVTVpMJmfTfjJaY0Tn7aLTWuFcSUtutkt9TXlTGlcXKhkF/UBo4xvoXU frw/pt6dc8ujpwup8+LxmEIcCZlCj70vxBCv3xH0bwznv19InbdbYsjvVULq vJyKKW33d4XUeeyJK22HLQJ4E4wTzwTiJzeO+jAlGO9x5EOGlM/0pQIlDjwu lfRXXJ2TcnSVZLzHgb9LJPDpijjws1VKfZ9r4krn/RkS+XdzHPa9QgJPfh5H vn1TIt4fiSudl9dKxluc9UFKjat/jAOfbpWsN3Gl8/zHEvZWcYU8kYjvT+Ko Bz+V8PdsXOm6MHc9+CEBf54jgR/fTjAfJPDhtgTir1YSvxNKXz4h6b8E4jck pa6rDyTgX691vgTw+RNhvwauC+DnzxKIn7for/v4PH8RjM+ESlWHdQ8JqeHi 9oTSuPNNYT+v9u/FQt6RCpgrE8RLxsfFCdZjgfpyZgLxmC5gv8UJ9V6q7O7r lgtShs5IKJ1Hr3XDfwdp37l80HmwM07875Y6Dt6Lg0880A18/Edc3ZVKhBu6 Uf9/xXg5u1tqXnFdHPmY3S31OavjeJ4NXVLnwTsx1rsu+OdfMdSLV7qkxp3n mC/PdcnUsc7975jCTws/YsDfm7vwfGfHgKfnEL8SMfqvS+rn2BFFvdjUiXr3 iyg/38n4iCptt2s6pYbjRVHg6aWdxLco+Vkn638U8XpaJ+0ZVaUpIA12Mj8j zL8OqX9/IqJ0Xv5vh9S4dSCidNh/u0PCLxGly8hMO8530sJHq55GcP7324Ev 4xEFP7QTn6LAk8etek18XGrVewsf28nXokrH6TntUod7PIr61NRu46s+R347 8SNK/GiTGjfyLXu22X8H72yz76ef97w2qcvAcETp9D7cKhtT/16JgN9uamW+ R5TGoddapa5bD0aUjvOnW+16od18T6vUOHKBZb9WxneEfKcV+emLIH7KWsmn wsi/2RapedPyMPB0Z4vUOPCDMPDjby2sX2Fc/94W1MsjmUrb6ZIW8s1Mmw/j 3CHwVaOF9TTE+pBk/Q0hP48kGV8h8MmtSZufoP5YfD+otJ0eT/J+QfozST4Y QP6XJFHvHw2QLzczngNKH/OxZqnNmxdQmvfe2Ux/BxBvV86/1nEom8mfres3 sz8I0H5NfP6A0s+xq4n8KID6/I8mqcvRpQH0Fz9rIj8KMP6akC8PBWDf8ib2 JwHg37FGnj8A/FzRKDXOvBxA/tzYaH8edazRvr+2054G1s8Mpcvmww20bzri qatBIg7TEJ/H68mv/Er77al62ssH+11Uz3j0Au8C9cwvD/jOh3XkRy7E0++s 107g3XfriBdO4LmoI191sJ+o4/M5wBcX1DF/nODr0Tqp4+ZcJ/uzJbSPE+d9 agnw42oX+4PFUvOex9yIt38vJj90w56PLLb7UeDmYvCnlR7Ef98ixo9X6T7t nkXkH17Uu5HTaH8D/WH3aby/D3i7rZb9jQ/85Pla4p8P/czNtYw3P/rRZC35 h5/Pv5B8w08+vJD9px/4cMdC1ke/Qt7Pv9bxuq+GfMSPeHm4hvHhp71riJd+ Pm818ccH+95STX7nA//2VkvwEgP16fEqnt+rECdVjG8P/VHJ+HEjn3MqyRec tP8Cvv+UqfmLcwH70ykTv69gfzVmgm+Wo14sHTR1/3VeudR58uVjpsbnN8ro n/2mtvOiMtTvyzab4Oel5JvXm9qtRaVSm6fjI6Gv/0wJ/b9XIP5KGI8HhT72 fxSDn1YcFajzRazvJwXiq5D+7ReI20Lw67MGBXhLAevzkNBx924+7T8sdBzX 5ZNvDQv0x3kSfcOw0Dhdk0d+PizAE3LZTw0LrZt8KZf+Gxbg7TlSn/OqYQEd Ipv9xKAAjmQR7/sFeHIW+cExnicB/lF2WOD3CeLtAYF4y+L9PxXox7L4fDvx PBuyme9bcb/TchmfHwrw0lz2p+8JxGme/DjlrrY1Qte1j/LoHxP2OiOf+scr QsexmU9//o5/LyD/f9HE5wskcFuZuH4h+8sPTNy/kM+z3YTdiuiPfSZ0mWLG Qy/i5dNixt9xU8dFcwnxadDUOPa9Etpz1NSXubuE+TdlIo9L2A85wA+yS4hH TvKjYuaHi/yymHqKG/U2Xsz67Vbg0UXEYw/ya2ch+ESjV+EchfSHF/x+MJ/5 YKCffS6PeG+A30zlsD4b1A9yiH8G9KNkDu1roD5tzKb/vagnV2aTv3sVeEIW +ysv8SSL8exBPRlI2Pir8+bGhK3HkYeTn7nBxy6J8/lc5Msx4o+T9S8Gfvq8 g/aLMt9OmeSZxKMZU9f/1gj1r0kTPDjMej5uoq5k0l8jJp4zxPwaNIEzAeJz nwlekkF8PWJCF0ijntTD+POTb+0yUXcNXm+DCVz1kt/9ygTPdZNvrEW+LHMR 37YRX5zMl33IlwtOCdihV8Au0wL1/4hA3EwAh3pOIH/EmNA4+n6/gN2HBeJ3 UED3JG71DBE/+oCTRSNCw3LtMQF7jQr445DAecf4vAf4Oes+e4Ar546LjX/S gcn7jgvYawN/Py4Qt6t4nwkBf/7MxHNPCMTTm/Zr9KUbTeTLBPD68Mcm8n2C eLTL1HG6d1zAXz2m9Tw6LG/to99HhaZ9u4ZN1J8R2nfCRH8+xNczJp5rkOd1 QAfqGRDwiwt96soBns9NXjEgwIu96LseHUQ9ifqgUz04JBDHfujIm4YF8jqd vHdUgFdkKNSjcQGeGSROTPL8IfLWaaHzrjOs8FyzsJc3gr672oE6upF9VL2T fWwUPGWJizoSdZ8iN3lxHLx3ws24jKPPeMfDPpW6wg+81LmzwDMDButQFnmJ AZ7xVLYCvhvoi0/PAW/9io86Zw50rMd8xJlc3s9HHpVH+/uoo+fxej7qmPnE RT941mvzr2GXAvv94K0FxDEfcbgQvH2Hj315oX1/XYdiReDFL/tQR+4uIk/y UUcrAq/7kU/iXMX0p488thi4+mUfcMtXAp7X4pOsN/S3j7hSCtw8YZBnlirk j4E+4YYy237A7XLqMD7iUDl432/8Un/uzXL0oX/3kweUg3dv8aNOjpbTXmng FUUV4KUdaei7Lqgg7qYhnh6qYJ+bBh1iWwXPmw6cW7yA9k7H/X67gHOBDOq2 lewbAvDvryvRBzYGWdereP0gePFfq6ibhRAv5dW8Xgj+vqOa+RWCrvdItaLe j3g9rxp9TCgInvBhFf2dAV7/bJXi/IT2rYJOdCyd8VWlOH+BP/sr0WeuSuPc pNK2n06fr1cy3/zUdSvZh/jAK19cgL7wDCsfFjBfveBVOyvs/AM/raDO7AKv 7i9nvDlRV28tR5/b5QBPGSzDnGbRrICdy3j9aeDjnlLG7yTw4qxS5uuEQPxb 8TkhoIsVYw6zfEIgn4vRF701ITTPubaY+cm/FxRDNwlPot68WYS++aJJ1qci xuOkgC5eSP9PCeBqAf0zJXS9/GG+0na8d1qgvudBx1ozzXqSS/tM87y5jI9p gfjOob2mBX7mULeexvWHshXqyJRAHGfz/FPE4yzG66SADpQFHnPNBPD/Wwni 3zj+/vu4Aj8fZT8Qg8511rBAnYrSfgMC88kIedQJYc0d0H8cEtocT2eCh+3d I3DdIP++jnU5g/Hylgmc8qOvu3+3ibgz0EeuOGxafTLe12+iTjl53hETcTFr WnURcTXJz02byM9R8OJjp1hnB1mfnQq86oSJ/sJFPnjIhJ9c4LfGfhPx4GZe 7TBxTjf0gT9vNME73NS//2XCD27izLPoU1a4OY9T5Alu4sZG8hE35w+7yW9c 7Gc/I/9x0G6fCpzbQT99KmAPB+20h344ZZJvoK/7u2WnbeRDM3z9gUB9nzZR R/4lYK8pE3H+Cn9OmZbfwEemwFfT3+N5J2mnTSbidtKE37eb6L8mTcTxpybq 5wT6E8dBE/cfR39ddAR9cs8Yec1RE3E6ZoJ3Hzdx3jETeXPSBH8b5XP087qj jJdBPueIyT7VBB8dIi8bY9wMmvDTmIn6NGCiLxsnvxswwc8m+Fz9jN9JE/yw zwSOTfM5jvM5Zk3g0RHoA1OnTNTPQ+zvHOwbek3olg7GRQ/t7FTgVQdMxI0T Oubl+3gdF/qiV3eT37tZHzbTbm7Wx4/IO92KPJd54IHOePVa8kr2QSdWm9Ye AfD2JZ7Dy3rzJwEe6SU+rhSoo14FO70icD2DeLdGoP77iE/vC5yDewWVm4lH PuLVxwL9nx+6uH+PgA7it/MAfCmNfeI+gTqWTvw9yP4jnXjfS/xN5+cPCfg/ g/h9WFi6KvLjmLB0UtjtuLB0UOTJCYGfQehY/+zn50PkTwPQP64PKR2m6wYE 8CYTuuZPhoifmeTHwwL5HlaWfgK/hYlDIwL9dRhz712jAr+PEJfGqM9QZ39n jHlu/X1CWHMMqw+z5gzETeoxUcbTFPuPKPZGCqZh/9ti9O+MgE4cI5+bQf05 M07+N2vXG8Y5dYksBb84sJfSnc367pDQ03L4/A7MFT7Kpb8c7FPz7NfQJ/MU 9Vrq3PmMTwd1k3z6z0HdpYDP6+DcvQB7Bq87yF8LiOsOzm0tPuCQFp9gPaE9 SmivU7D3bAn55CnY84ZS4rSDc7ZS+tchdVwYZfZ5ND50WHzZCV3m2jLyYyd0 vPvL2I85wX+fKcOcxePiHLAMc95aFz9fzv7BDZ3g43Kex4vncVWwHzOgG5yy +LdBnaccusdWg/1GOeZ66w3MCb5VTv5CHaG4nHXQ4F5CGePPwNzxL2XU3Q3o aHdYz2vAP+eXMd4M6PK1ZQo4ZJCPl9n9mz7GeCnxwSA/LqU9DOjEx61+xZA4 dwn5iME5Ygn2LpYZ7I+KFfUozpmL6V9D6nAqLLbtAXsXYc4+RPvN8UXklU9S jyVftPqtQtrfh3h/v4D9go86bQHt56MulM/+3EfdN5/xwP7rF3n23/H8ueQ1 Pj5PLnmFj3OpHMxRs3ycK2eTnxqcG2az3hicY2eRb3rtOTvwyss5cRy632Ue zMH3xthvu7E347Reu9gvRVm/nMx/q9932HsxrJsCcRtS4DNTAp8Psj+ZoN6Q QT1gDPrxw2nUC0aENffA74fs+gQ/DArY00P+OUD91sV6OUBe5qA/Bni/aRM/ B4XFS4CzQ9ShBll3R6gnHybfGaOuddBE3RxjfdhPHjBOvr/HBD6Os75sI28Z F7jOB9B9R8bZD7xp60vgm1eL//9aCev90HM2oS9ZNc56tAu6+UXjqC+X7RdW /QBfO0Q9jP3BGcdYx0cF4rWfutow65GlSw1R/xnhcw8IS/dCPveRP0yh77n9 KOvfKfRxZ/fSnk4JfPiM9dslgX9bBOq8h/rvq+TBhq23c85F/Xi7ifOnMc8O mDhvBuc9R0zgSJDv7zdRP0LUp4fAf2rC1LNHwQeHw8TJCfLKCPvsafDlu6Kc p53C9RpirDOWThcjDji5TxGn/uxiHCeoM1nzwwT1YQ/7tizu33jAq45mcV5h 6d3ZnOd6qftlc3/BS544r69jbyeH8ySDeZZrzxfBj3Pt/VD0zXl8XoM8KJ/z ToN1rYA6kcG6WMg67UUdMIs4r7fOU0zdh/uzu4vt+R3qizXP4Hzi7BJ7vov9 vhLoKAEn9+FK6L8Z6N0vldj6ug67ZSWc/w1h/veFEvKMk8yzYu6LHmY/U0w9 fr8JflTE8+/kfMWa32wCTmwvZHy9Df1/aSHnay+gvxgtgO418wL42K8LuJ+z mvyvgP5by3jPZ7xtRj9+XR72OW7dbc/jwLf3CR2GX8xlHT4ggMeWPw8yn3J4 vV7maQ7z6Sh18Rzuz5ygXmJ9vl+AT+RyX3aA/DLPmo8K+KGA833qB9cVSAsP wIsLON8b4DyvkPO0fuDBHwqlpfuj/hfRvyfJ7y17H+f8sJj+PiIQV8XEi0Pk uyWo40/3kJ+WcP73GfqHf5TwfjuoT5dKq0/G/nQpdeOVwJvXSskrVkE3iJdR 19yM+LmtjLrxXvTBO8t4vV5T+72rXGo3f3YM/dsL5ZxHDaAOZFTQHsPow39Y wfxgP/xJBeNnEjqEXECdddakfsd5uQP4kVbJ8znBY79XyfO4WOcr7X0K/bGq Ks5bPayDVbSnF/PDHVXkBQb3LavpTx91rGrihQ948l41eTjnCuEaxosf1/ta jbTmDvB/DfHWTzyo4fzVz3n+Ql4vjfvUC4kXaTjPLxZyfyANvEIt5Dw4Dbxs aP7z4IO1jKc08Pa1tdTF/dy3PY3zRD/mAJFF9vmAE4vsfXngxyLml4G+4/zF 0uqL0bcu5r6GgX3OzxZzDmBQ/1nC5ze4f72E++AG+/QlNp6DR9Sx/hnY57i9 jn2XAZ70TB2/32CgT3uzjvM9H3ju9jrud/jYN9Rx38eHfZrxOuKJD7zRU898 9INXBes5p/CDt19cTx6ahnh6wNrnSQfPX13P508HLx6oR1+0LgP4XtXA+ArA Xlc00L7cx3+0gecJIj7fbuC8NQT/DDTw+UOsH43EsxD0svMaWZ8zcf7bG1lf MmGfpxuhi9+byf3eRtarTDzf4UbGayb6In8T8z8TfVFVE/dlM9kHNjGeMqHD fGv+tY6TH8+/H3k//1rn1YEm1ptM7gc2Mx8zuV/dzPNZz2/tj4URX2Yz618Y c4GdzZyLhdnXNpP3h1m/mxmfYe7fJNGXfS+MfG1JMv7DeP4rkqjv28OI3x8l iUcR9B1PJDmniHCfLMn95QjiYTpJPItwv6uFfI375gNJ7l9FeZ4k+FYV98nv ThIfItyHsr7PE+G+XDP5GfdB1zQTX9mHPNbMfWHuu1/bzD4wguvLZu4PR7Dv X9Zs70fqfElr5twxgj5tpAn7Gb+09kebOEeKoE/b2cR4oj0+bGL9iiB/n2hi 3xyB7nNXE3WNCHSLy5vA996IwN7tTeSXEfC5vCbyS95vvJE6QIT53og50K4I 8PCVRvZxfJ5H5l/ruP5OI/e7I8iHMxo5d41A1ypo5H5yBPE53EB+Zu3LNgBv nolw/6MB+1X/FQGe39nAfaEI+uLzGhDvTRHolCUNnFNFuE9Sz7lxGH3/mnru s4fRh/+6nroS90e/be0LhpEv9fXcv8lEnzlTx3ocgq6w3tr3C4FP/9LaJwxy H7nO/r6RzpfcOuYnv5/0zyXkBwHuJy+xv9+E/bTF5AcZwG/nYuJrBvx5+SLW I+5vvnga8SrA/qHW3udEX1Vr72NiXruQ9uQ+58Ya6ggB9tU1zM8AdJ9baujv DMT36TWMtwzoCLEa4mEGv69WTV0jg3PGau7LZLD+VhOf0nG/K6ulpcvq566r Jv6kU7epZj1Is/kF+G8a5xtV9EeazUfAX/z0RxXz2c+5YhXrhZ/XryKf8HE/ tZL10Yd4uKjSrq86n5cvIF55oCMWLiDeu8B3/lrB/WIn5rbnV7B+ORBv7gp7 30rb7d1y6jAO1M/7yu19U+xHlPO8TuhQu8qIPy68/8wy4peb9cDipx7un5eS 33oQj3eV0p4eXt96vxdztLESxiv3pZaX2PyBehntadBexaz3PtaHIj6fxXcK eR4f+WQB48OP+dr38xmvfszHDuTSvn7qZrnMBx/jKYfP5wP+fT2H/bCP/WQ2 +YWP+Z7N+7NfXZxNfxnkc1msJ+x3L89ivvP7kMcT5D9e6vQJ7gd7OKdPsB56 WM/i9LfVn8bJf93URWOMLxefJ8bzOLmXE7X3j/m9B/JTB3XHCD8/y7lXhOeZ xuvXwuz/J03uyRPvx02cI5P5N2pyHmHta7KfDVJnHOT8KMDr9/N1BvnhCb4/ nfX5c14/jXhxkPuyfubXPtPaM7H2zVAnqeses+ZTXvara7j35CFfWU7dy009 42/Uk1z2Phri0EV/b+J+kpP9ynbqXw5efw/3uE5RH9tP/W6GumEP+8Npzj97 OX+aFPDH5/YeGPj4UfavY9QVj6H/vWmUewEn7D019HN91A9PCmvfCrh3kDrX MJ9jh7X3xeu9g72F3mHOz1+iPjjM59hAPXGI85htnOsNCfQHezg3HRSWboG4 HqBu9znn3ccF+2jqXr3UF4+Y0CP2cf+2h3rlTtplK+esW2jvu3n/D4Sly6H+ bODcej3taO3bfkw98F0BHP+EexGroVfcs59zrL9Rl+zlfS4UwJWjwppTo6/o ox3WmogPa49wi2nN1eCP3Sbiaoxh1MN5+QR1UOvc0/RbP/cJZrlnN2xizmft O05wXnuKzzVr4vcznFM62Z9NC/AlJ+ceU5wzusj/JrhX6eYezLgADripu49y b9DDPZchPr+XeNMvcE5rTntE4DoGvi/8/j5h9euoh+sYdwbx+m36z+De1Qc8 l0E90tKjvfbcGXzAS71wvwk893JOYs33PZzLfk4dzKOsPWZrLxGf6zdhPzf7 pUHO+V34vt9Nw9R1nTzvKPcGnKxH4ybs7eBcYgp71stmOdef4f2n6V+HsvYT gLNO2nWMc3wX5yUjJvLNw/nRoIl88nJe0Ec90CAvOcK9An4vYkWPafEY9Eu7 qTdnKEsvhE4TIG9ZaVrfQ4c/XxewfybPtZn6e5jzoN3U06358QFh9RXIi8PU E6N83mPcx43ye/V9wLE7YpxXDRAn4+Sxg5i/PMvvgXqG+TwJxvEI5woJzttG ue+ZRb/w9eosnn+Men02/T7OPZls6iLjiOPiHOoQ44zTHJ5ngribw/NMYL5w ZS731SaIG7nK2s/F99DylbXviz6ugPYc436utU85Qtwt4rxoWOB7gcWcNw1h /2xpieJeEfG0hHkzADyrL+V8eYDf1yilvwehNw6U8nt6g8SNMs7vhsT/AdPe VOU= "]], LineBox[{{-36.062, 5.734}, {-36.092, 5.739}, {-36.123, 5.744}, {-36.153, 5.746}, {-36.173, 5.743}, {-36.029, 5.656}, {-35.838, 5.575}, {-35.795, 5.557}, {-35.736, 5.534}, {-35.656, 5.503}, {-35.547, 5.461}, {-35.395, 5.406}, {-35.236, 5.352}, {-35.189, 5.337}, {-35.128, 5.318}, {-35.048, 5.294}, {-34.943, 5.263}, {-34.804, 5.227}, {-34.621, 5.184}, {-34.391, 5.14}, {-34.346, 5.133}, {-34.288, 5.124}, {-34.213, 5.114}, {-34.116, 5.102}, {-33.99, 5.09}, {-33.828, 5.078}, {-33.616, 5.07}, {-33.372, 5.068}, {-33.326, 5.069}, {-33.268, 5.07}, {-33.193, 5.071}, {-33.096, 5.074}, {-32.971, 5.078}, {-32.811, 5.084}, {-32.606, 5.092}, {-32.298, 5.1}, {-32.259, 5.101}, {-32.208, 5.101}, {-32.143, 5.102}, {-32.059, 5.101}, {-31.953, 5.1}, {-31.815, 5.096}, {-31.64, 5.086}, {-31.414, 5.067}, {-31.171, 5.038}, {-31.127, 5.031}, {-31.071, 5.022}, {-30.998, 5.01}, {-30.903, 4.993}, {-30.781, 4.969}, {-30.621, 4.935}, {-30.409, 4.883}, {-30.124, 4.805}, {-29.956, 4.756}, {-29.907, 4.742}, {-29.843, 4.722}, {-29.759, 4.697}, {-29.649, 4.663}, {-29.502, 4.619}, {-29.305, 4.559}, {-29.033, 4.482}, {-28.65, 4.389}, {-28.558, 4.37}, {-28.458, 4.351}, {-28.289, 4.324}, {-28.24, 4.317}, {-28.175, 4.308}, {-28.09, 4.299}, {-27.977, 4.288}, {-27.827, 4.278}, {-27.624, 4.271}, {-27.345, 4.273}, {-26.95, 4.292}, {-26.855, 4.298}, {-26.752, 4.305}, {-26.642, 4.313}, {-26.522, 4.321}, {-26.392, 4.329}, {-26.251, 4.337}, {-26.097, 4.343}, {-25.93, 4.345}, {-25.746, 4.344}, {-25.546, 4.334}, {-25.326, 4.315}, {-25.031, 4.27}, {-24.991, 4.263}, {-24.94, 4.253}, {-24.874, 4.239}, {-24.788, 4.219}, {-24.676, 4.19}, {-24.53, 4.148}, {-24.337, 4.085}, {-24.083, 3.992}, {-23.746, 3.851}, {-23.555, 3.764}, {-23.468, 3.724}, {-23.375, 3.681}, {-23.277, 3.635}, {-23.173, 3.586}, {-23.064, 3.535}, {-22.948, 3.482}, {-22.825, 3.427}, {-22.696, 3.37}, {-22.558, 3.313}, {-22.412, 3.257}, {-22.257, 3.201}, {-22.093, 3.149}, {-21.917, 3.102}, {-21.729, 3.061}, {-21.526, 3.029}, {-21.307, 3.008}, {-21.069, 3.}, {-20.809, 3.005}, {-20.521, 3.024}, {-20.199, 3.051}, {-19.837, 3.078}, {-19.426, 3.087}, {-19.216, 3.077}, {-19.122, 3.07}, {-19.027, 3.059}, {-18.929, 3.045}, {-18.828, 3.029}, {-18.725, 3.008}, {-18.619, 2.983}, {-18.513, 2.955}, {-18.401, 2.921}, {-18.288, 2.883}, {-18.173, 2.84}, {-18.056, 2.792}, {-17.936, 2.739}, {-17.815, 2.681}, {-17.69, 2.617}, {-17.565, 2.549}, {-17.438, 2.476}, {-17.31, 2.399}, {-17.167, 2.31}, {-17.126, 2.284}, {-17.074, 2.25}, {-17.008, 2.207}, {-16.922, 2.15}, {-16.813, 2.077}, {-16.673, 1.983}, {-16.495, 1.864}, {-16.269, 1.716}, {-15.985, 1.542}, {-15.628, 1.357}, {-15.433, 1.279}, {-15.346, 1.25}, {-15.253, 1.224}, {-15.156, 1.202}, {-15.055, 1.184}, {-14.947, 1.172}, {-14.833, 1.167}, {-14.711, 1.17}, {-14.58, 1.182}, {-14.439, 1.204}, {-14.285, 1.238}, {-14.115, 1.283}, {-13.925, 1.34}, {-13.71, 1.408}, {-13.462, 1.481}, {-13.172, 1.551}, {-12.827, 1.599}, {-12.41, 1.592}, {-12.317, 1.58}, {-12.221, 1.563}, {-12.12, 1.541}, {-12.016, 1.513}, {-11.907, 1.479}, {-11.795, 1.437}, {-11.678, 1.388}, {-11.557, 1.33}, {-11.431, 1.264}, {-11.301, 1.188}, {-11.166, 1.103}, {-11.027, 1.007}, {-10.884, 0.9}, {-10.737, 0.784}, {-10.586, 0.657}, {-10.431, 0.52}, {-10.273, 0.374}, {-10.112, 0.219}, {-9.949, 0.057}, {-9.783, -0.11}, {-9.616, -0.283}, {-9.448, -0.458}, {-9.279, \ -0.635}, {-9.111, -0.811}, {-8.943, -0.985}, {-8.777, -1.155}, {-8.613, \ -1.319}, {-8.451, -1.476}, {-8.291, -1.626}, {-8.135, -1.766}, {-7.982, \ -1.897}, {-7.837, -2.016}, {-7.692, -2.127}, {-7.552, -2.227}, {-7.416, \ -2.318}, {-7.284, -2.398}, {-7.157, -2.47}, {-7.035, -2.532}, {-6.917, \ -2.586}, {-6.802, -2.632}, {-6.693, -2.671}, {-6.589, -2.703}, {-6.489, \ -2.729}, {-6.393, -2.749}, {-6.302, -2.764}, {-5.996, -2.786}, {-5.653, \ -2.755}, {-5.38, -2.684}, {-5.163, -2.594}, {-4.992, -2.495}, {-4.858, \ -2.394}, {-4.756, -2.292}, {-4.678, -2.192}, {-4.623, -2.093}, {-4.586, \ -1.996}, {-4.564, -1.902}, {-4.555, -1.81}, {-4.558, -1.721}, {-4.599, \ -1.525}, {-4.612, -1.489}, {-4.629, -1.446}, {-4.652, -1.394}, {-4.684, \ -1.333}, {-4.727, -1.264}, {-4.782, -1.187}, {-4.85, -1.107}, {-4.931, \ -1.029}, {-5.021, -0.962}, {-5.228, -0.912}, {-5.242, -0.931}, {-5.202, \ -1.09}, {-5.123, -1.242}, {-5.102, -1.284}, {-5.027, -1.446}, {-5.012, \ -1.483}, {-4.995, -1.532}, {-4.952, -1.703}, {-4.946, -1.748}, {-4.942, \ -1.806}, {-4.943, -1.88}, {-4.954, -1.97}, {-4.987, -2.085}, {-5.068, \ -2.236}, {-5.268, -2.435}, {-5.528, -2.578}, {-5.694, -2.635}, {-5.738, \ -2.646}, {-5.798, -2.659}, {-5.965, -2.683}, {-6.018, -2.687}, {-6.09, \ -2.69}, {-6.299, -2.681}, {-6.344, -2.676}, {-6.403, -2.668}, {-6.484, \ -2.654}, {-6.593, -2.63}, {-6.822, -2.559}, {-6.861, -2.545}, {-6.914, \ -2.524}, {-6.983, -2.495}, {-7.075, -2.453}, {-7.2, -2.39}, {-7.37, -2.293}, \ {-7.633, -2.119}, {-7.667, -2.095}, {-7.711, -2.064}, {-7.768, -2.021}, \ {-7.842, -1.963}, {-7.941, -1.885}, {-8.072, -1.776}, {-8.246, -1.623}, \ {-8.48, -1.405}, {-8.702, -1.188}, {-8.77, -1.121}, {-8.887, -1.002}, \ {-8.921, -0.967}, {-8.964, -0.923}, {-9.02, -0.865}, {-9.093, -0.789}, \ {-9.187, -0.691}, {-9.309, -0.563}, {-9.468, -0.397}, {-9.674, -0.183}, \ {-9.941, 0.09}, {-10.089, 0.238}, {-10.156, 0.303}, {-10.227, 0.371}, {-10.3, 0.441}, {-10.377, 0.512}, {-10.515, 0.637}, {-10.547, 0.665}, {-10.587, 0.701}, {-10.639, 0.746}, {-10.706, 0.801}, {-10.791, 0.871}, {-10.898, 0.956}, {-11.035, 1.058}, {-11.207, 1.177}, {-11.421, 1.309}, {-11.686, 1.445}, {-12.006, 1.569}, {-12.171, 1.615}, {-12.217, 1.625}, {-12.275, 1.637}, {-12.348, 1.65}, {-12.439, 1.663}, {-12.553, 1.674}, {-12.694, 1.68}, {-12.867, 1.677}, {-13.074, 1.658}, {-13.376, 1.607}, {-13.414, 1.598}, {-13.464, 1.588}, {-13.526, 1.573}, {-13.603, 1.555}, {-13.7, 1.531}, {-13.819, 1.501}, {-13.966, 1.464}, {-14.145, 1.423}, {-14.312, 1.391}, {-14.358, 1.383}, {-14.416, 1.375}, {-14.49, 1.366}, {-14.584, 1.358}, {-14.701, 1.354}, {-14.85, 1.359}, {-15.063, 1.387}, {-15.106, 1.396}, {-15.162, 1.409}, {-15.234, 1.428}, {-15.327, 1.456}, {-15.445, 1.499}, {-15.599, 1.564}, {-15.797, 1.664}, {-15.837, 1.685}, {-15.888, 1.714}, {-15.953, 1.751}, {-16.038, 1.802}, {-16.147, 1.871}, {-16.289, 1.963}, {-16.473, 2.087}, {-16.608, 2.181}, {-16.647, 2.208}, {-16.696, 2.243}, {-16.76, 2.287}, {-16.842, 2.345}, {-16.948, 2.418}, {-17.084, 2.512}, {-17.258, 2.629}, {-17.482, 2.773}, {-17.765, 2.942}, {-18.119, 3.128}, {-18.309, 3.215}, {-18.393, 3.25}, {-18.48, 3.285}, {-18.57, 3.319}, {-18.663, 3.352}, {-18.953, 3.443}, {-19.115, 3.486}, {-19.278, 3.526}, {-19.442, 3.562}, {-19.601, 3.598}, {-19.764, 3.636}, {-20.03, 3.72}, {-20.101, 3.901}, {-19.944, 3.978}, {-19.766, 4.028}, {-19.71, 4.04}, {-19.631, 4.054}, {-19.514, 4.071}, {-19.341, 4.086}, {-19.285, 4.089}, {-19.21, 4.092}, {-19.106, 4.092}, {-18.958, 4.087}, {-18.743, 4.068}, {-18.496, 4.029}, {-18.45, 4.02}, {-18.389, 4.007}, {-18.308, 3.988}, {-18.199, 3.961}, {-18.052, 3.918}, {-17.848, 3.851}, {-17.562, 3.743}, {-17.275, 3.623}, {-17.185, 3.583}, {-17.088, 3.54}, {-16.984, 3.493}, {-16.871, 3.443}, {-16.684, 3.36}, {-16.641, 3.341}, {-16.585, 3.317}, {-16.512, 3.286}, {-16.416, 3.246}, {-16.29, 3.196}, {-16.122, 3.133}, {-15.895, 3.059}, {-15.582, 2.979}, {-15.274, 2.929}, {-15.178, 2.919}, {-15.074, 2.911}, {-14.962, 2.906}, {-14.839, 2.905}, {-14.706, 2.908}, {-14.56, 2.915}, {-14.399, 2.926}, {-14.22, 2.943}, {-14.021, 2.964}, {-13.799, 2.987}, {-13.547, 3.009}, {-13.262, 3.023}, {-12.935, 3.018}, {-12.561, 2.976}, {-12.143, 2.877}, {-12.103, 2.865}, {-12.051, 2.848}, {-11.983, 2.824}, {-11.895, 2.792}, {-11.78, 2.746}, {-11.629, 2.679}, {-11.432, 2.582}, {-11.172, 2.438}, {-10.83, 2.228}, {-10.752, 2.178}, {-10.671, 2.124}, {-10.585, 2.067}, {-10.494, 2.007}, {-10.4, 1.943}, {-10.3, 1.876}, {-10.195, 1.806}, {-10.085, 1.733}, {-9.969, 1.658}, {-9.848, 1.582}, {-9.721, 1.505}, {-9.587, 1.43}, {-9.447, 1.357}, {-9.3, 1.289}, {-9.145, 1.229}, {-8.981, 1.178}, {-8.806, 1.142}, {-8.619, 1.123}, {-8.415, 1.126}, {-8.189, 1.155}, {-7.933, 1.216}, {-7.631, 1.309}, {-7.264, 1.427}, {-7.061, 1.485}, {-6.966, 1.508}, {-6.867, 1.53}, {-6.761, 1.55}, {-6.65, 1.566}, {-6.531, 1.578}, {-6.406, 1.584}, {-6.272, 1.583}, {-6.13, 1.574}, {-5.979, 1.553}, {-5.817, 1.519}, {-5.646, 1.47}, {-5.464, 1.402}, {-5.27, 1.314}, {-5.064, 1.202}, {-4.848, 1.065}, {-4.619, 0.901}, {-4.38, 0.71}, {-4.13, 0.492}, {-3.872, 0.249}, {-3.607, -0.014}, {-3.336, -0.292}, {-3.062, -0.578}, {-2.788, \ -0.865}, {-2.515, -1.145}, {-2.247, -1.413}, {-1.985, -1.66}, {-1.731, \ -1.885}, {-1.486, -2.083}, {-1.253, -2.254}, {-1.031, -2.398}, {-0.82, \ -2.516}, {-0.622, -2.61}, {-0.435, -2.684}, {-0.26, -2.738}, {-0.097, \ -2.776}, {0.056, -2.801}, {0.199, -2.814}, {0.333, -2.818}, {0.457, -2.813}, { 0.573, -2.802}, {0.681, -2.786}, {0.782, -2.766}, {0.875, -2.743}, { 1.17, -2.638}, {1.464, -2.473}, {1.666, -2.302}, {1.8, -2.132}, { 1.879, -1.964}, {1.916, -1.797}, {1.919, -1.632}, {1.893, -1.468}, { 1.844, -1.307}, {1.756, -1.113}, {1.735, -1.074}, {1.708, -1.026}, { 1.671, -0.967}, {1.622, -0.893}, {1.557, -0.804}, {1.47, -0.697}, { 1.357, -0.575}, {1.211, -0.438}, {1.027, -0.295}, {0.803, -0.157}, { 0.54, -0.04}, {0.242, 0.044}, {-0.112, 0.094}, {-0.15, 0.097}, {-0.197, 0.101}, {-0.256, 0.105}, {-0.329, 0.11}, {-0.417, 0.116}, {-0.523, 0.124}, {-0.647, 0.137}, {-0.79, 0.16}, {-0.947, 0.201}, {-1.103, 0.273}, {-1.139, 0.297}, {-1.181, 0.33}, {-1.225, 0.376}, {-1.266, 0.441}, {-1.289, 0.531}, {-1.267, 0.663}, {-1.229, 0.735}, {-1.225, 0.742}, {-1.045, 0.939}, {-0.798, 1.113}, {-0.507, 1.253}, {-0.194, 1.344}, {0.123, 1.378}, {0.425, 1.357}, {0.7030000000000002, 1.295}, { 0.947, 1.207}, {1.156, 1.108}, {1.331, 1.01}, {1.475, 0.919}, {1.592, 0.84}, {1.685, 0.772}, {1.76, 0.716}, {1.819, 0.67}, {1.865, 0.633}, { 1.902, 0.603}, {2.033, 0.493}, {2.108, 0.428}, {2.184, 0.361}, {2.26, 0.292}, {2.336, 0.221}, {2.412, 0.149}, {2.489, 0.075}, {2.566, 0}, { 2.643, -0.076}, {2.72, -0.154}, {2.797, -0.232}, {2.874, -0.31}, { 2.95, -0.389}, {3.027, -0.469}, {3.103, -0.548}, {3.179, -0.628}, { 3.255, -0.707}, {3.33, -0.786}, {3.405, -0.864}, {3.48, -0.942}, { 3.553, -1.018}, {3.626, -1.094}, {3.699, -1.169}, {3.77, -1.242}, { 3.842, -1.314}, {3.912, -1.385}, {3.982, -1.454}, {4.05, -1.521}, { 4.118, -1.587}, {4.185, -1.651}, {4.338, -1.795}, {4.65, -2.068}, { 4.937, -2.294}, {5.2, -2.477}, {5.439, -2.622}, {5.655, -2.734}, { 5.852, -2.819}, {6.029, -2.882}, {6.19, -2.928}, {6.336, -2.96}, { 6.468, -2.982}, {6.589, -2.995}, {6.698, -3.003}, {6.798, -3.006}, { 7.106, -2.991}, {7.397, -2.948}, {7.595, -2.903}, {7.734, -2.865}, { 7.833, -2.835}, {7.907, -2.811}, {7.961, -2.792}, {8.001, -2.778}, { 8.202, -2.7}, {8.4, -2.614}, {8.675, -2.472}, {8.833, -2.372}, { 8.93, -2.3}, {8.993, -2.245}, {9.035, -2.204}, {9.145, -2.064}, { 9.205, -1.945}, {9.233, -1.855}, {9.246, -1.786}, {9.251, -1.734}, { 9.252, -1.693}, {9.235, -1.485}, {9.218, -1.402}, {9.202, -1.339}, { 9.188, -1.292}, {9.134, -1.135}, {9.103, -1.056}, {9.078, -0.998}, { 9.059, -0.954}, {8.979, -0.79}, {8.951, -0.736}, {8.93, -0.696}, { 8.841, -0.546}, {8.814, -0.503}, {8.792, -0.47}, {8.686, -0.327}, { 8.658, -0.291}, {8.545, -0.162}, {8.508, -0.122}, {8.478, -0.09}, { 8.36, 0.026}, {8.32, 0.064}, {8.287, 0.094}, {8.15, 0.212}, {8.114, 0.243}, {7.979, 0.349}, {7.945, 0.376}, {7.719, 0.558}, {7.724, 0.607}, {7.747, 0.603}, {7.926, 0.531}, {8.02, 0.478}, {8.108, 0.423}, {8.186, 0.37}, {8.254, 0.321}, {8.311, 0.279}, {8.359, 0.242}, {8.397, 0.212}, {8.429, 0.187}, {8.64, 0.009}, { 8.905, -0.234}, {9.147, -0.468}, {9.358, -0.68}, {9.537, -0.862}, { 9.686, -1.014}, {9.807, -1.139}, {9.905, -1.238}, {9.983, -1.318}, { 10.044, -1.38}, {10.093, -1.429}, {10.132, -1.468}, {10.162, -1.498}, { 10.31, -1.644}, {10.427, -1.757}, {10.541, -1.865}, {10.652, -1.967}, { 10.759, -2.063}, {10.862, -2.153}, {10.961, -2.237}, { 11.056, -2.315}, {11.148, -2.388}, {11.235, -2.455}, { 11.319, -2.517}, {11.399, -2.573}, {11.575, -2.691}, { 11.894, -2.874}, {12.139, -2.99}, {12.326, -3.063}, {12.47, -3.11}, { 12.581, -3.141}, {12.666, -3.161}, {12.731, -3.175}, { 12.782, -3.185}, {12.957, -3.212}, {13.074, -3.224}, { 13.184, -3.231}, {13.286, -3.235}, {13.381, -3.236}, { 13.781, -3.214}, {14.065, -3.18}, {14.272, -3.15}, {14.424, -3.126}, { 14.537, -3.108}, {14.623, -3.095}, {14.688, -3.085}, { 14.737, -3.078}, {14.905, -3.055}, {15.21, -3.024}, {15.426, -3.013}, { 15.584, -3.013}, {15.702, -3.018}, {15.791, -3.024}, {15.859, -3.03}, { 15.91, -3.036}, {15.95, -3.042}, {16.234, -3.094}, {16.408, -3.139}, { 16.539, -3.18}, {16.64, -3.214}, {16.719, -3.243}, {16.779, -3.266}, { 16.826, -3.285}, {16.862, -3.3}, {17.119, -3.412}, {17.277, -3.485}, { 17.399, -3.543}, {17.494, -3.588}, {17.568, -3.624}, { 17.626, -3.651}, {17.67, -3.672}, {17.825, -3.745}, {17.996, -3.824}, { 18.125, -3.881}, {18.223, -3.922}, {18.297, -3.953}, { 18.352, -3.975}, {18.394, -3.992}, {18.579, -4.064}, { 18.682, -4.103}, {18.751, -4.13}, {18.894, -4.208}, {18.883, -4.223}, { 18.852, -4.231}, {18.813, -4.235}, {18.773, -4.235}, { 18.736, -4.235}, {18.703, -4.233}, {18.417, -4.198}, { 18.207, -4.156}, {18.008, -4.106}, {17.829, -4.056}, { 17.673, -4.008}, {17.54, -3.965}, {17.43, -3.928}, {17.339, -3.898}, { 17.266, -3.873}, {17.207, -3.852}, {17.16, -3.836}, {17.122, -3.824}, { 16.904, -3.75}, {16.783, -3.71}, {16.661, -3.672}, {16.538, -3.636}, { 16.416, -3.602}, {16.293, -3.57}, {16.17, -3.541}, {16.046, -3.516}, { 15.923, -3.494}, {15.8, -3.476}, {15.676, -3.461}, {15.553, -3.45}, { 15.43, -3.442}, {15.308, -3.438}, {15.186, -3.437}, {15.064, -3.439}, { 14.943, -3.444}, {14.823, -3.45}, {14.703, -3.458}, {14.585, -3.468}, { 14.468, -3.478}, {14.352, -3.488}, {14.238, -3.498}, { 14.126, -3.508}, {14.015, -3.517}, {13.907, -3.524}, {13.801, -3.53}, { 13.697, -3.535}, {13.596, -3.537}, {13.498, -3.537}, { 13.403, -3.536}, {13.31, -3.533}, {13.101, -3.517}, {12.708, -3.454}, { 12.393, -3.367}, {12.146, -3.276}, {11.954, -3.192}, { 11.807, -3.118}, {11.694, -3.057}, {11.607, -3.008}, {11.54, -2.968}, { 11.488, -2.937}, {11.448, -2.912}, {11.285, -2.807}, { 11.209, -2.755}, {10.861, -2.508}, {10.576, -2.3}, {10.349, -2.142}, { 10.171, -2.038}, {10.033, -1.983}, {9.923, -1.97}, {9.831, -1.992}, { 9.744, -2.039}, {9.651, -2.107}, {9.542, -2.19}, {9.401, -2.284}, { 9.213, -2.39}, {8.957, -2.51}, {8.603, -2.654}, {8.517, -2.686}, { 8.426, -2.72}, {8.327, -2.755}, {8.221, -2.791}, {8.107, -2.828}, { 7.984, -2.866}, {7.852, -2.903}, {7.709, -2.94}, {7.554, -2.975}, { 7.387, -3.006}, {7.206, -3.031}, {7.01, -3.046}, {6.798, -3.048}, { 6.569, -3.032}, {6.321, -2.992}, {6.055, -2.922}, {5.77, -2.815}, { 5.467, -2.665}, {5.147, -2.469}, {4.813, -2.224}, {4.561, -2.017}, { 4.492, -1.956}, {4.422, -1.895}, {4.352, -1.831}, {4.282, -1.767}, { 4.212, -1.701}, {4.142, -1.634}, {4.072, -1.566}, {4.002, -1.497}, { 3.931, -1.428}, {3.861, -1.357}, {3.791, -1.286}, {3.721, -1.215}, { 3.652, -1.143}, {3.582, -1.072}, {3.513, -1.}, {3.444, -0.928}, { 3.376, -0.857}, {3.307, -0.785}, {3.24, -0.715}, {3.172, -0.644}, { 3.106, -0.575}, {3.039, -0.506}, {2.974, -0.438}, {2.909, -0.371}, { 2.844, -0.305}, {2.696, -0.155}, {2.391, 0.142}, {2.106, 0.402}, {1.84, 0.623}, {1.595, 0.805}, {1.37, 0.952}, {1.164, 1.067}, {0.976, 1.154}, {0.804, 1.219}, {0.648, 1.264}, {0.506, 1.293}, {0.376, 1.31}, {0.258, 1.317}, {0.149, 1.315}, {0.051, 1.308}, {-0.332, 1.216}, {-0.579, 1.095}, {-0.738, 0.976}, {-0.837, 0.869}, {-0.922, 0.663}, {-0.736, 0.396}, {-0.341, 0.271}, {-0.252, 0.255}, {-0.161, 0.238}, {-0.067, 0.221}, {0.028, 0.202}, {0.126, 0.181}, {0.225, 0.156}, {0.326, 0.128}, {0.427, 0.094}, {0.529, 0.056}, {0.632, 0.012}, {0.734, -0.038}, {0.835, -0.094}, {0.936, -0.157}, { 1.035, -0.225}, {1.132, -0.299}, {1.226, -0.379}, {1.317, -0.463}, { 1.405, -0.552}, {1.487, -0.645}, {1.565, -0.741}, {1.638, -0.839}, { 1.704, -0.939}, {1.764, -1.04}, {1.816, -1.142}, {1.862, -1.243}, { 1.899, -1.345}, {1.927, -1.445}, {1.947, -1.544}, {1.957, -1.642}, { 1.957, -1.738}, {1.946, -1.833}, {1.925, -1.926}, {1.892, -2.017}, { 1.846, -2.107}, {1.788, -2.195}, {1.716, -2.282}, {1.629, -2.366}, { 1.526, -2.449}, {1.406, -2.529}, {1.267, -2.605}, {1.108, -2.676}, { 0.927, -2.738}, {0.722, -2.787}, {0.491, -2.818}, { 0.232, -2.822}, {-0.056, -2.789}, {-0.375, -2.708}, {-0.725, -2.567}, \ {-0.999, -2.42}, {-1.076, -2.374}, {-1.153, -2.324}, {-1.232, -2.271}, \ {-1.311, -2.216}, {-1.392, -2.158}, {-1.473, -2.096}, {-1.555, -2.032}, \ {-1.637, -1.966}, {-1.721, -1.896}, {-1.804, -1.825}, {-1.888, -1.751}, \ {-1.973, -1.674}, {-2.058, -1.596}, {-2.143, -1.516}, {-2.228, -1.434}, \ {-2.313, -1.35}, {-2.399, -1.266}, {-2.484, -1.18}, {-2.569, -1.093}, \ {-2.654, -1.006}, {-2.739, -0.918}, {-2.823, -0.831}, {-2.907, -0.743}, \ {-2.99, -0.656}, {-3.073, -0.569}, {-3.155, -0.483}, {-3.237, -0.397}, \ {-3.318, -0.313}, {-3.397, -0.23}, {-3.477, -0.149}, {-3.555, -0.069}, \ {-3.632, 0.009}, {-3.708, 0.086}, {-3.783, 0.16}, {-3.857, 0.232}, {-3.93, 0.303}, {-4.002, 0.371}, {-4.073, 0.437}, {-4.143, 0.5}, {-4.212, 0.562}, {-4.539, 0.836}, {-4.836, 1.054}, {-5.105, 1.222}, {-5.346, 1.348}, {-5.564, 1.438}, {-5.759, 1.5}, {-5.934, 1.541}, {-6.092, 1.565}, {-6.235, 1.577}, {-6.364, 1.58}, {-6.481, 1.576}, {-6.588, 1.568}, {-6.685, 1.556}, {-6.985, 1.498}, {-7.274, 1.417}, {-7.474, 1.353}, {-7.618, 1.305}, {-7.724, 1.27}, {-7.802, 1.245}, {-7.862, 1.227}, {-7.907, 1.214}, {-8.178, 1.147}, {-8.506, 1.11}, {-8.811, 1.13}, {-9.103, 1.202}, {-9.39, 1.317}, {-9.674, 1.466}, {-9.958, 1.638}, {-10.241, 1.824}, {-10.523, 2.014}, {-10.802, 2.198}, {-11.076, 2.369}, {-11.344, 2.522}, {-11.604, 2.654}, {-11.855, 2.763}, {-12.096, 2.848}, {-12.327, 2.912}, {-12.546, 2.957}, {-12.755, 2.986}, {-12.953, 3.001}, {-13.14, 3.006}, {-13.318, 3.002}, {-13.486, 2.993}, {-13.646, 2.98}, {-13.798, 2.965}, {-13.942, 2.949}, {-14.079, 2.934}, {-14.21, 2.919}, {-14.335, 2.906}, {-14.455, 2.894}, {-14.57, 2.886}, {-14.68, 2.879}, {-14.786, 2.875}, {-14.889, 2.874}, {-14.988, 2.875}, {-15.083, 2.878}, {-15.175, 2.884}, {-15.599, 2.944}, {-15.969, 3.039}, {-16.299, 3.152}, {-16.593, 3.269}, {-16.859, 3.382}, {-17.097, 3.484}, {-17.312, 3.574}, {-17.506, 3.651}, {-17.679, 3.714}, {-17.835, 3.766}, {-17.974, 3.807}, {-18.099, 3.839}, {-18.21, 3.864}, {-18.424, 3.898}, {-18.718, 3.906}, {-18.789, 3.72}, {-18.678, 3.654}, {-18.543, 3.583}, {-18.389, 3.504}, {-18.224, 3.418}, {-18.052, 3.324}, {-17.875, 3.222}, {-17.697, 3.115}, {-17.52, 3.003}, {-17.346, 2.888}, {-17.176, 2.771}, {-17.011, 2.656}, {-16.851, 2.543}, {-16.698, 2.434}, {-16.55, 2.331}, {-16.41, 2.233}, {-16.275, 2.142}, {-16.147, 2.059}, {-16.026, 1.982}, {-15.91, 1.913}, {-15.799, 1.851}, {-15.694, 1.796}, {-15.594, 1.748}, {-15.499, 1.706}}], LineBox[{{-15.132, 1.583}, {-15.263, 1.62}, {-15.394, 1.665}, {-15.526, 1.719}, {-15.66, 1.781}, {-15.795, 1.85}, {-15.931, 1.927}, {-16.069, 2.01}, {-16.208, 2.099}, {-16.349, 2.193}, {-16.491, 2.29}, {-16.634, 2.39}, {-16.777, 2.492}, {-16.923, 2.595}, {-17.067, 2.696}, {-17.21, 2.796}, {-17.352, 2.893}, {-17.493, 2.986}, {-17.631, 3.075}, {-17.767, 3.159}, {-17.899, 3.238}, {-18.027, 3.312}, {-18.15, 3.38}, {-18.267, 3.442}, {-18.378, 3.5}, {-18.481, 3.553}, {-18.575, 3.602}, {-18.66, 3.647}, {-18.863, 3.786}, {-18.679, 3.907}, {-18.534, 3.906}, {-18.333, 3.885}, {-18.063, 3.83}, {-17.707, 3.723}, {-17.506, 3.65}, {-17.412, 3.614}, {-17.314, 3.574}, {-17.21, 3.532}, {-17.102, 3.486}, {-16.987, 3.437}, {-16.867, 3.385}, {-16.741, 3.331}, {-16.609, 3.276}, {-16.47, 3.218}, {-16.323, 3.161}, {-16.17, 3.105}, {-16.008, 3.051}, {-15.837, 3.}, {-15.656, 2.956}, {-15.464, 2.919}, {-15.26, 2.892}, {-15.04, 2.876}, {-14.804, 2.875}, {-14.546, 2.887}, {-14.262, 2.913}, {-13.948, 2.949}, {-13.596, 2.985}, {-13.199, 3.005}, {-12.876, 2.997}, {-12.782, 2.989}, {-12.686, 2.978}, {-12.588, 2.964}, {-12.488, 2.947}, {-12.385, 2.926}, {-12.28, 2.901}, {-12.172, 2.871}, {-12.062, 2.837}, {-11.95, 2.798}, {-11.836, 2.755}, {-11.72, 2.706}, {-11.601, 2.653}, {-11.481, 2.594}, {-11.359, 2.53}, {-11.235, 2.462}, {-11.11, 2.389}, {-10.983, 2.312}, {-10.855, 2.232}, {-10.726, 2.148}, {-10.596, 2.063}, {-10.466, 1.975}, {-10.335, 1.887}, {-10.204, 1.799}, {-10.073, 1.712}, {-9.941, 1.627}, {-9.81, 1.546}, {-9.678, 1.468}, {-9.546, 1.395}, {-9.415, 1.329}, {-9.283, 1.269}, {-9.15, 1.218}, {-9.016, 1.176}, {-8.881, 1.143}, {-8.744, 1.121}, {-8.604, 1.11}, {-8.46, 1.112}, {-8.311, 1.125}, {-8.155, 1.152}, {-7.99, 1.191}, {-7.813, 1.242}, {-7.622, 1.304}, {-7.412, 1.373}, {-7.179, 1.446}, {-6.916, 1.514}, {-6.618, 1.564}, {-6.275, 1.579}, {-5.881, 1.53}, {-5.677, 1.476}, {-5.585, 1.446}, {-5.491, 1.41}, {-5.395, 1.37}, {-5.296, 1.324}, {-5.194, 1.272}, {-5.091, 1.214}, {-4.984, 1.151}, {-4.875, 1.081}, {-4.764, 1.005}, {-4.651, 0.922}, {-4.535, 0.833}, {-4.417, 0.738}, {-4.298, 0.637}, {-4.176, 0.53}, {-4.053, 0.418}, {-3.929, 0.301}, {-3.803, 0.179}, {-3.676, 0.054}, {-3.549, -0.075}, {-3.421, -0.206}, {-3.292, -0.339}, {-3.164, \ -0.473}, {-3.036, -0.608}, {-2.908, -0.742}, {-2.781, -0.874}, {-2.655, \ -1.005}, {-2.53, -1.133}, {-2.407, -1.258}, {-2.285, -1.379}, {-2.164, \ -1.495}, {-2.046, -1.607}, {-1.929, -1.714}, {-1.815, -1.815}, {-1.703, \ -1.911}, {-1.594, -2.001}, {-1.487, -2.086}, {-1.382, -2.165}, {-1.28, \ -2.238}, {-1.18, -2.306}, {-1.084, -2.369}, {-0.989, -2.426}, {-0.898, \ -2.478}, {-0.809, -2.526}, {-0.722, -2.569}, {-0.53, -2.653}, {-0.161, \ -2.768}, {0.153, -2.817}, {0.422, -2.822}, {0.651, -2.799}, {0.847, -2.76}, { 1.016, -2.71}, {1.161, -2.654}, {1.286, -2.596}, {1.393, -2.537}, { 1.487, -2.477}, {1.567, -2.418}, {1.637, -2.359}, {1.817, -2.154}, { 1.933, -1.894}, {1.957, -1.655}, {1.924, -1.43}, {1.912, -1.388}, { 1.896, -1.337}, {1.873, -1.272}, {1.839, -1.191}, {1.791, -1.091}, { 1.723, -0.97}, {1.629, -0.826}, {1.5, -0.659}, {1.33, -0.476}, { 1.115, -0.285}, {0.853, -0.104}, {0.55, 0.048}, {0.218, 0.159}, {-0.127, 0.233}, {-0.464, 0.299}, {-0.758, 0.41}, {-0.919, 0.681}, {-0.91, 0.727}, {-0.886, 0.789}, {-0.832, 0.874}, {-0.717, 0.993}, {-0.472, 1.154}, {-0.273, 1.237}, {-0.164, 1.269}, {-0.034, 1.296}, {0.122, 1.314}, {0.31, 1.314}, {0.537, 1.287}, {0.815, 1.215}, {1.156, 1.071}, {1.34, 0.97}, {1.424, 0.919}, {1.511, 0.862}, { 1.602, 0.8}, {1.697, 0.732}, {1.795, 0.658}, {1.897, 0.578}, {2.003, 0.49}, {2.113, 0.396}, {2.227, 0.294}, {2.345, 0.186}, {2.467, 0.07}, { 2.593, -0.052}, {2.722, -0.181}, {2.855, -0.316}, {2.992, -0.457}, { 3.132, -0.602}, {3.275, -0.752}, {3.421, -0.905}, {3.57, -1.059}, { 3.72, -1.214}, {3.873, -1.369}, {4.027, -1.522}, {4.181, -1.671}, { 4.336, -1.817}, {4.491, -1.956}, {4.646, -2.089}, {4.8, -2.214}, { 4.952, -2.331}, {5.103, -2.439}, {5.252, -2.538}, {5.399, -2.627}, { 5.542, -2.707}, {5.683, -2.776}, {5.821, -2.837}, {5.955, -2.889}, { 6.086, -2.932}, {6.213, -2.968}, {6.379, -3.004}, {6.425, -3.012}, { 6.482, -3.021}, {6.554, -3.031}, {6.644, -3.04}, {6.756, -3.047}, { 6.892, -3.049}, {7.056, -3.044}, {7.251, -3.026}, {7.477, -2.99}, { 7.731, -2.935}, {8.011, -2.858}, {8.305, -2.763}, {8.605, -2.654}, { 8.895, -2.538}, {9.163, -2.416}, {9.397, -2.289}, {9.591, -2.157}, { 9.825, -1.998}, {9.859, -1.986}, {9.903, -1.976}, {9.963, -1.975}, { 10.049, -1.991}, {10.178, -2.044}, {10.381, -2.165}, { 10.704, -2.395}, {10.74, -2.421}, {10.787, -2.456}, {10.85, -2.502}, { 10.933, -2.563}, {11.045, -2.642}, {11.195, -2.747}, { 11.398, -2.882}, {11.673, -3.047}, {12.043, -3.234}, {12.127, -3.27}, { 12.216, -3.306}, {12.309, -3.34}, {12.408, -3.373}, {12.51, -3.405}, { 12.617, -3.433}, {12.729, -3.46}, {12.89, -3.49}, {12.935, -3.497}, { 12.993, -3.506}, {13.067, -3.515}, {13.161, -3.524}, { 13.279, -3.532}, {13.428, -3.538}, {13.613, -3.538}, {13.84, -3.53}, { 14.115, -3.511}, {14.439, -3.482}, {14.814, -3.453}, { 14.977, -3.445}, {15.021, -3.443}, {15.078, -3.441}, {15.148, -3.44}, { 15.236, -3.44}, {15.346, -3.442}, {15.48, -3.448}, {15.643, -3.461}, { 15.839, -3.484}, {16.072, -3.524}, {16.307, -3.577}, { 16.348, -3.588}, {16.4, -3.601}, {16.465, -3.619}, {16.546, -3.642}, { 16.646, -3.672}, {16.769, -3.71}, {16.919, -3.76}, {17.098, -3.82}, { 17.265, -3.878}, {17.31, -3.893}, {17.366, -3.913}, {17.437, -3.937}, { 17.524, -3.966}, {17.631, -4.001}, {17.76, -4.043}, {17.958, -4.101}, { 17.998, -4.113}, {18.048, -4.126}, {18.11, -4.142}, {18.186, -4.161}, { 18.277, -4.182}, {18.486, -4.223}, {18.523, -4.229}, { 18.567, -4.236}, {18.621, -4.243}, {18.684, -4.251}, { 18.875, -4.264}, {18.908, -4.265}, {18.946, -4.265}, { 19.074, -4.243}, {18.891, -4.144}, {18.726, -4.088}, { 18.672, -4.069}, {18.492, -4.005}, {18.453, -3.99}, {18.401, -3.97}, { 18.332, -3.943}, {18.144, -3.866}, {18.106, -3.85}, {18.058, -3.828}, { 17.994, -3.8}, {17.912, -3.763}, {17.72, -3.674}, {17.684, -3.657}, { 17.638, -3.635}, {17.579, -3.607}, {17.503, -3.57}, {17.405, -3.523}, { 17.221, -3.436}, {17.179, -3.416}, {17.126, -3.392}, { 17.057, -3.361}, {16.969, -3.322}, {16.855, -3.274}, { 16.697, -3.212}, {16.652, -3.196}, {16.593, -3.175}, {16.518, -3.15}, { 16.419, -3.12}, {16.291, -3.086}, {16.123, -3.049}, {16.073, -3.04}, { 16.009, -3.029}, {15.926, -3.018}, {15.815, -3.006}, { 15.666, -2.997}, {15.448, -2.995}, {15.402, -2.996}, { 15.341, -2.998}, {15.261, -3.003}, {15.155, -3.011}, { 15.012, -3.026}, {14.815, -3.052}, {14.504, -3.1}, {14.464, -3.107}, { 14.411, -3.115}, {14.341, -3.127}, {14.248, -3.141}, {14.126, -3.16}, { 13.96, -3.183}, {13.734, -3.208}, {13.42, -3.225}, {13.112, -3.217}, { 12.928, -3.199}, {12.884, -3.193}, {12.827, -3.184}, {12.753, -3.17}, { 12.656, -3.15}, {12.529, -3.118}, {12.362, -3.067}, {12.142, -2.983}, { 11.853, -2.845}, {11.584, -2.688}, {11.504, -2.636}, {11.42, -2.579}, { 11.331, -2.517}, {11.238, -2.448}, {11.139, -2.373}, { 11.037, -2.291}, {10.93, -2.202}, {10.818, -2.106}, {10.701, -2.003}, { 10.575, -1.888}, {10.54, -1.855}, {10.495, -1.812}, {10.437, -1.757}, { 10.363, -1.686}, {10.271, -1.597}, {10.152, -1.479}, { 10.003, -1.328}, {9.818, -1.139}, {9.592, -0.907}, {9.32, -0.629}, { 9.093, -0.401}, {9.03, -0.338}, {8.964, -0.275}, {8.898, -0.211}, { 8.83, -0.147}, {8.761, -0.083}, {8.691, -0.019}, {8.535, 0.119}, { 8.505, 0.145}, {8.467, 0.177}, {8.42, 0.216}, {8.362, 0.263}, {8.29, 0.319}, {8.204, 0.385}, {8.101, 0.459}, {7.981, 0.539}, {7.846, 0.62}, {7.7, 0.695}, {7.5, 0.772}, {7.466, 0.781}, {7.425, 0.79}, { 7.38, 0.798}, {7.331, 0.801}, {7.283, 0.798}, {7.364, 0.505}, {7.491, 0.395}, {7.628, 0.286}, {7.871, 0.106}, {8.005, 0}, {8.138, -0.117}, { 8.264, -0.242}, {8.294, -0.274}, {8.411, -0.409}, {8.437, -0.442}, { 8.471, -0.486}, {8.579, -0.636}, {8.606, -0.676}, {8.639, -0.729}, { 8.73, -0.883}, {8.752, -0.922}, {8.778, -0.974}, {8.81, -1.042}, { 8.874, -1.194}, {8.89, -1.238}, {8.908, -1.296}, {8.929, -1.372}, { 8.958, -1.538}, {8.962, -1.586}, {8.963, -1.647}, {8.958, -1.727}, { 8.922, -1.887}, {8.905, -1.933}, {8.876, -1.992}, {8.83, -2.069}, { 8.7, -2.223}, {8.662, -2.259}, {8.607, -2.306}, {8.527, -2.368}, { 8.406, -2.451}, {8.164, -2.587}, {8.125, -2.606}, {8.074, -2.63}, { 8.003, -2.662}, {7.905, -2.704}, {7.766, -2.758}, {7.559, -2.825}, { 7.24, -2.901}, {7.031, -2.931}, {6.927, -2.939}, {6.811, -2.944}, { 6.683, -2.943}, {6.481, -2.929}, {6.434, -2.923}, {6.374, -2.914}, { 6.293, -2.9}, {6.186, -2.876}, {6.041, -2.837}, {5.843, -2.769}, { 5.569, -2.648}, {5.299, -2.499}, {5.215, -2.447}, {5.126, -2.388}, { 5.03, -2.322}, {4.927, -2.247}, {4.816, -2.163}, {4.697, -2.069}, { 4.57, -1.962}, {4.434, -1.844}, {4.288, -1.711}, {4.132, -1.564}, { 3.966, -1.401}, {3.788, -1.223}, {3.6, -1.03}, {3.401, -0.822}, { 3.191, -0.602}, {2.97, -0.372}, {2.741, -0.136}, {2.504, 0.102}, { 2.259, 0.336}, {2.009, 0.56}, {1.756, 0.767}, {1.502, 0.954}, {1.283, 1.095}, {1.246, 1.117}, {1.198, 1.144}, {1.138, 1.177}, {1.061, 1.217}, {0.965, 1.263}, {0.847, 1.314}, {0.699, 1.368}, {0.519, 1.42}, {0.303, 1.461}, {0.049, 1.48}, {-0.242, 1.463}, {-0.567, 1.398}, {-0.919, 1.284}, {-1.292, 1.129}, {-1.685, 0.965}, {-1.971, 0.872}, {-2., 0.865}, {-2.017, 0.862}, {-2.293, 0.821}, {-2.608, 0.839}, {-2.852, 0.899}, {-3.043, 0.97}, {-3.193, 1.039}, {-3.312, 1.099}, {-3.404, 1.15}, {-3.477, 1.192}, {-3.534, 1.226}, {-3.578, 1.252}, {-3.613, 1.273}, {-3.962, 1.496}, {-4.241, 1.677}, {-4.457, 1.813}, {-4.622, 1.912}, {-4.749, 1.984}, {-4.846, 2.037}, {-4.921, 2.076}, {-4.978, 2.104}, {-5.022, 2.125}, {-5.174, 2.193}, {-5.457, 2.297}, {-5.655, 2.349}, {-5.795, 2.374}, {-5.894, 2.385}, {-5.966, 2.389}, {-6.018, 2.389}, {-6.229, 2.369}, {-6.342, 2.341}, {-6.42, 2.315}, {-6.481, 2.293}, {-6.532, 2.276}, {-6.576, 2.262}, {-6.614, 2.252}, {-6.646, 2.244}, {-6.978, 2.182}, {-7.31, 2.127}, {-7.659, 2.072}, {-7.988, 2.034}, {-8.277, 2.024}, {-8.521, 2.041}, {-8.721, 2.074}, {-8.882, 2.116}, {-9.009, 2.157}, {-9.109, 2.196}, {-9.186, 2.229}, {-9.247, 2.258}, {-9.293, 2.281}, {-9.329, 2.3}, {-9.566, 2.44}, {-9.712, 2.545}, {-9.824, 2.642}, {-9.891, 2.796}, {-9.805, 2.815}, {-9.63, 2.803}, {-9.346, 2.771}, {-9.052, 2.748}, {-8.957, 2.745}, {-8.854, 2.744}, {-8.744, 2.745}, {-8.625, 2.75}, {-8.497, 2.759}, {-8.358, 2.771}, {-8.208, 2.789}, {-8.044, 2.811}, {-7.865, 2.837}, {-7.67, 2.866}, {-7.456, 2.896}, {-7.22, 2.923}, {-6.959, 2.941}, {-6.671, 2.944}, {-6.352, 2.919}, {-6., 2.853}, {-5.615, 2.735}, {-5.425, 2.658}, {-5.341, 2.621}, {-5.256, 2.581}, {-5.17, 2.538}, {-5.083, 2.493}, {-4.994, 2.445}, {-4.905, 2.395}, {-4.815, 2.342}, {-4.724, 2.288}, {-4.632, 2.231}, {-4.539, 2.172}, {-4.445, 2.111}, {-4.351, 2.05}, {-4.256, 1.986}, {-4.161, 1.923}, {-4.065, 1.858}, {-3.969, 1.794}, {-3.873, 1.73}, {-3.776, 1.666}, {-3.679, 1.604}, {-3.582, 1.543}, {-3.485, 1.483}, {-3.388, 1.427}, {-3.29, 1.372}, {-3.193, 1.322}, {-3.094, 1.274}, {-2.996, 1.231}, {-2.897, 1.192}, {-2.798, 1.158}, {-2.697, 1.13}, {-2.596, 1.107}, {-2.493, 1.09}, {-2.389, 1.079}, {-2.282, 1.075}, {-2.173, 1.079}, {-2.061, 1.089}, {-1.944, 1.107}, {-1.823, 1.133}, {-1.696, 1.166}, {-1.566, 1.204}, {-1.423, 1.251}, {-1.27, 1.303}, {-1.105, 1.359}, {-0.925, 1.417}, {-0.727, 1.474}, {-0.509, 1.523}, {-0.266, 1.557}, { 0, 1.566}, {0.304, 1.537}, {0.644, 1.454}, {1.023, 1.297}, {1.103, 1.255}, {1.185, 1.21}, {1.269, 1.16}, {1.354, 1.107}, {1.441, 1.05}, { 1.529, 0.989}, {1.619, 0.924}, {1.711, 0.855}, {1.803, 0.781}, {1.897, 0.704}, {1.992, 0.624}, {2.088, 0.539}, {2.186, 0.451}, {2.284, 0.36}, {2.383, 0.266}, {2.483, 0.169}, {2.584, 0.069}, { 2.686, -0.033}, {2.787, -0.136}, {2.889, -0.241}, {2.992, -0.348}, { 3.094, -0.455}, {3.196, -0.562}, {3.299, -0.669}, {3.4, -0.776}, { 3.502, -0.882}, {3.603, -0.986}, {3.703, -1.09}, {3.803, -1.191}, { 3.901, -1.29}, {3.999, -1.386}, {4.095, -1.48}, {4.191, -1.571}, { 4.285, -1.659}, {4.378, -1.744}, {4.47, -1.825}, {4.56, -1.903}, { 4.649, -1.977}, {4.736, -2.047}, {4.821, -2.114}, {4.905, -2.177}, { 4.988, -2.237}, {5.069, -2.293}, {5.148, -2.345}, {5.424, -2.51}, { 5.766, -2.669}, {6.068, -2.768}, {6.336, -2.821}, {6.572, -2.841}, { 6.78, -2.837}, {6.964, -2.817}, {7.127, -2.786}, {7.271, -2.747}, { 7.399, -2.705}, {7.513, -2.66}, {7.615, -2.612}, {7.706, -2.565}, { 7.961, -2.393}, {8.175, -2.171}, {8.287, -1.966}, {8.335, -1.774}, { 8.34, -1.592}, {8.314, -1.42}, {8.267, -1.258}, {8.205, -1.104}, { 8.133, -0.96}, {8.054, -0.826}, {7.971, -0.7}, {7.885, -0.584}, { 7.798, -0.477}, {7.712, -0.379}, {7.626, -0.288}, {7.542, -0.206}, { 7.46, -0.13}, {7.38, -0.062}, {7.303, 0.001}, {7.133, 0.126}, {6.819, 0.321}, {6.574, 0.455}, {6.39, 0.559}, {6.262, 0.653}, {6.187, 0.746}, {6.163, 0.84}, {6.195, 0.935}, {6.288, 1.027}, {6.451, 1.103}, {6.7, 1.143}, {7.055, 1.106}, {7.14, 1.084}, {7.231, 1.056}, { 7.327, 1.02}, {7.429, 0.977}, {7.537, 0.925}, {7.651, 0.864}, {7.772, 0.793}, {7.899, 0.71}, {8.032, 0.616}, {8.172, 0.51}, {8.319, 0.392}, { 8.472, 0.261}, {8.631, 0.118}, {8.796, -0.037}, {8.966, -0.203}, { 9.142, -0.378}, {9.321, -0.562}, {9.505, -0.752}, {9.691, -0.946}, { 9.88, -1.141}, {10.069, -1.336}, {10.26, -1.526}, {10.449, -1.711}, { 10.637, -1.887}, {10.823, -2.054}, {11.006, -2.208}, { 11.186, -2.351}, {11.361, -2.48}, {11.532, -2.595}, {11.698, -2.697}, { 11.858, -2.786}, {12.013, -2.862}, {12.162, -2.927}, { 12.306, -2.981}, {12.443, -3.025}, {12.576, -3.061}, { 12.703, -3.088}, {12.825, -3.109}, {12.941, -3.124}, { 13.053, -3.134}, {13.159, -3.139}, {13.262, -3.141}, {13.36, -3.14}, { 13.453, -3.136}, {13.868, -3.091}, {14.206, -3.03}, {14.485, -2.97}, { 14.718, -2.918}, {14.915, -2.875}, {15.085, -2.841}, { 15.232, -2.815}, {15.362, -2.794}, {15.476, -2.779}, { 15.578, -2.767}, {15.883, -2.751}, {16.171, -2.765}, { 16.373, -2.795}, {16.524, -2.831}, {16.639, -2.865}, { 16.729, -2.896}, {16.799, -2.922}, {16.854, -2.944}, { 16.897, -2.962}, {17.051, -3.031}, {17.192, -3.099}, { 17.335, -3.171}, {17.484, -3.248}, {17.636, -3.326}, { 17.794, -3.406}, {17.955, -3.484}, {18.121, -3.56}, {18.29, -3.631}, { 18.462, -3.697}, {18.636, -3.756}, {18.811, -3.808}, { 18.986, -3.851}, {19.161, -3.887}, {19.334, -3.914}, { 19.505, -3.935}, {19.672, -3.95}, {19.837, -3.959}, {19.998, -3.964}, { 20.154, -3.967}, {20.306, -3.968}, {20.453, -3.968}, { 20.596, -3.968}, {20.734, -3.968}, {20.868, -3.97}, {20.996, -3.974}, { 21.121, -3.98}, {21.24, -3.987}, {21.356, -3.997}, {21.467, -4.01}, { 21.574, -4.024}, {21.677, -4.041}, {21.776, -4.059}, { 21.871, -4.079}, {21.962, -4.101}, {22.362, -4.223}, { 22.664, -4.347}, {22.864, -4.45}, {22.86, -4.542}, {22.616, -4.504}, { 22.328, -4.455}, {22.231, -4.44}, {22.127, -4.425}, {22.014, -4.412}, { 21.893, -4.399}, {21.762, -4.389}, {21.621, -4.381}, {21.47, -4.377}, { 21.307, -4.377}, {21.134, -4.381}, {20.948, -4.389}, { 20.749, -4.401}, {20.536, -4.417}, {20.308, -4.434}, {20.065, -4.45}, { 19.806, -4.461}, {19.53, -4.464}, {19.237, -4.453}, {18.927, -4.422}, { 18.599, -4.368}, {18.252, -4.287}, {17.884, -4.177}, { 17.494, -4.042}, {17.19, -3.931}, {17.105, -3.9}, {17.018, -3.868}, { 16.929, -3.836}, {16.84, -3.805}, {16.748, -3.773}, {16.654, -3.742}, { 16.559, -3.711}, {16.462, -3.682}, {16.362, -3.653}, { 16.261, -3.626}, {16.157, -3.6}, {16.051, -3.576}, {15.942, -3.555}, { 15.83, -3.535}, {15.714, -3.519}, {15.595, -3.505}, {15.473, -3.494}, { 15.346, -3.487}, {15.215, -3.483}, {15.08, -3.483}, {14.939, -3.486}, { 14.794, -3.492}, {14.642, -3.502}, {14.485, -3.513}, { 14.322, -3.526}, {14.153, -3.54}, {13.977, -3.552}, {13.796, -3.562}, { 13.608, -3.567}, {13.414, -3.565}, {13.215, -3.555}, { 13.012, -3.534}, {12.806, -3.501}, {12.597, -3.454}, { 12.389, -3.393}, {12.181, -3.317}, {11.977, -3.229}, {11.777, -3.13}, { 11.584, -3.023}, {11.398, -2.91}, {11.222, -2.796}, {11.056, -2.682}, { 10.901, -2.573}, {10.758, -2.471}, {10.626, -2.378}, { 10.506, -2.295}, {10.397, -2.225}, {10.299, -2.166}, { 10.106, -2.079}, {9.791, -2.103}, {9.633, -2.193}, {9.55, -2.244}, { 9.45, -2.301}, {9.326, -2.366}, {9.172, -2.44}, {8.975, -2.525}, { 8.718, -2.626}, {8.384, -2.748}, {8.187, -2.813}, {8.093, -2.843}, { 7.993, -2.873}, {7.885, -2.903}, {7.771, -2.933}, {7.647, -2.962}, { 7.515, -2.99}, {7.373, -3.015}, {7.221, -3.035}, {7.056, -3.049}, { 6.879, -3.055}, {6.689, -3.048}, {6.484, -3.026}, {6.263, -2.984}, { 6.027, -2.917}, {5.774, -2.821}, {5.506, -2.69}, {5.222, -2.522}, { 4.925, -2.314}, {4.616, -2.067}, {4.298, -1.784}, {4.061, -1.558}, { 3.996, -1.495}, {3.931, -1.43}, {3.866, -1.365}, {3.801, -1.299}, { 3.736, -1.233}, {3.671, -1.167}, {3.606, -1.1}, {3.542, -1.033}, { 3.477, -0.966}, {3.413, -0.899}, {3.349, -0.832}, {3.285, -0.765}, { 3.222, -0.699}, {3.159, -0.633}, {3.096, -0.567}, {2.788, -0.251}, { 2.493, 0.042}, {2.212, 0.305}, {1.948, 0.532}, {1.701, 0.725}, {1.472, 0.884}, {1.26, 1.011}, {1.064, 1.11}, {0.885, 1.185}, {0.72, 1.239}, { 0.569, 1.275}, {0.431, 1.297}, {0.304, 1.307}, {0.189, 1.308}, {0.083, 1.302}, {-0.015, 1.289}, {-0.39, 1.177}, {-0.63, 1.037}, {-0.776, 0.9}, {-0.853, 0.777}, {-0.876, 0.667}, {-0.855, 0.571}, {-0.796, 0.488}, {-0.701, 0.418}, {-0.574, 0.36}, {-0.413, 0.312}, {-0.216, 0.269}, {0.021, 0.221}, {0.306, 0.148}, {0.646, 0.018}, { 0.825, -0.077}, {0.906, -0.126}, {0.989, -0.182}, {1.074, -0.244}, { 1.161, -0.313}, {1.25, -0.389}, {1.339, -0.474}, {1.428, -0.568}, { 1.517, -0.67}, {1.605, -0.782}, {1.689, -0.904}, {1.767, -1.034}, { 1.838, -1.175}, {1.898, -1.324}, {1.941, -1.484}, {1.962, -1.652}, { 1.951, -1.83}, {1.895, -2.02}, {1.772, -2.221}, {1.546, -2.437}, { 1.389, -2.542}, {1.308, -2.587}, {1.217, -2.631}, {1.116, -2.674}, { 1.003, -2.716}, {0.877, -2.753}, {0.734, -2.786}, {0.575, -2.811}, { 0.395, -2.824}, { 0.192, -2.82}, {-0.036, -2.793}, {-0.293, -2.734}, {-0.583, -2.632}, \ {-0.908, -2.473}, {-1.169, -2.314}, {-1.244, -2.264}, {-1.32, -2.21}, \ {-1.398, -2.154}, {-1.477, -2.094}, {-1.557, -2.031}, {-1.639, -1.965}, \ {-1.723, -1.895}, {-1.807, -1.822}, {-1.893, -1.746}, {-1.981, -1.667}, \ {-2.069, -1.586}, {-2.159, -1.501}, {-2.249, -1.413}, {-2.343, -1.322}, \ {-2.435, -1.229}, {-2.529, -1.135}, {-2.623, -1.038}, {-2.718, -0.94}, \ {-2.814, -0.841}, {-2.91, -0.74}, {-3.006, -0.639}, {-3.103, -0.538}, {-3.2, \ -0.436}, {-3.297, -0.335}, {-3.394, -0.234}, {-3.491, -0.134}, {-3.588, \ -0.036}, {-3.684, 0.061}, {-3.78, 0.156}, {-3.875, 0.249}, {-3.969, 0.339}, {-4.063, 0.427}}], LineBox[CompressedData[" 1:eJxFW3d8W9XZ1rCGbVnWlWTHjh1blncS25LteEo+h1KglAKl9NcCpZRZ+CgE SlgtZaQUaBmltOULq6XQMtoCDRCg8JXcA4QwAiGE0JCmIXuQhYc8JI981nme q+QPhKyre895x/M+73Ne1Zx/xbcucthstgV5Nlv2deL0nU88nCfVDeHnTtj+ 07B88uFVkeXDQh3/8sj0huvD8orgrer9N4TSf78qLL/ucyy442Whfpws2Pjn K8PS3/LCH758Sij30vuPveuysHz8uNkv/l4o/fbisFx+1SX3HfqZUO+c1P2r Y84Ny7su2zv519OEmv3v0PqTw/Ib2T8fJ9TXZh/+3Alh2balzr10kVBL9NfC siL7hxqhTjk/cEZvZ1gePO2fVbcdGFB/m/32+YGw/Pbs8ldtG1CfXv9FQ9wb lh3Zf58MKP3cqZB8evXsg98YUP1bT71n2eGQ/Di6OX3T3wbUV87dvS66OST1 6w0DSu/+uZDM3i5y5YCaXdXudY+HsP/zBlTmpkv/dfXvQvK9a1c+OvfUAWXL /rslJGdXteLdrgGl93FRSL524qyBPLxfa0iefe+bo01TSaXXGQlJ/ffDSa4/ JL3PVJ514eak0stJB+U371m2OPhWUunv/TeI/d6VVBfqDQSlNtPSpMpaP3ln UN5Rumnt+BJ+/ydB+dZo09n3np/keoIy653VJyXVjWLROa+dGJTa7i1JlZr1 7hcNQYnnJuC/gwbXl4C/thlSf/x5QnVrgxjynOwG1ySUdv/rhtR/X55Qs1Zp 2/IXQ17zu7K87/w6obQd7jDkJ7O7POPMhNLrPo/3PyWhGuPZnRsyu/1+kVDf yrr1NEP+JOvGhQnGgyGzu14cTChtp35D6rgb7FfaD22GzIbL/W/14/l1hrw5 66YH+tWsV65dWW1Ive27+1X17N3/WWXIj8ZnA/6Go5//Kfu1H/bTP4aEnfrh /6ghs7crq+tXzdohBuJ3qI/xaEgdFy/2KZ1HXzWkjvun+nLrX5B10LI+BT8Y 8O+tfbn96ri9pE8NZ8PhDENqs3y1T+nt/sCQs9F66b/CfeqH+h/fb+hVj2TT 8RKu575elc2WRecYcjYaTt95Wy/i+3sG4vPaXpUNl4LvGlLv6/xe5cgu7BRD Zrex4mu9StvxWEPqdG7oVdocMUNqP2V6GK+G1HZc2cP8CcjvZAHgih6l4+Sm AOzX3KOybnymMoD4qepR2qy+AOIl0KOQx8W430y3Ks/L3qkY+bO3W2k7XFiM 9b3bzfzwI/4f60Y+L/Yjni/vxnqXFyE+F3Sr2ax97LiXffKN7MsnXQp2KJQf fjD77+4upcPhtgLY4+ddfF4B8OeaLsZbAfx/YRfxpYDx26WwrnzYP95F/MzH /X1djJ98qe3w30VKu115pc6bPyyiv7yMt0VK42qpVx7O/jnTyed5EQ+rOnOf P/Tg7L9XO2lfr6zPuu3vnXyel/HfqbJp6G/xSv3cWzq5Hy/w9LxONe+sLKJ4 pcaV7k7it1dqXLN1qrez4XWfF/Z4qYP+8cLfp3bQ3l7Ed3eH0nH3hFdqM1d1 EC+9ck72A2cH8PhnXsTXnnbmvxf145125rMX/n+qXY01ZRPOA3svbqf/PPRH O+3nwfq/2w48Snrw/RPaGa8eqdfd3k78ckudB3Pa6S834mMkrtZkX6ZdwIPV cdrHBfveFWe+5kmNGyKudHn8wgH8nowpXGdH/u+NEU/seP76GO1lk7U6gWNK 42KvDfXviRjtc0TUZP/nnhjXNyP0y9Uxpb929bTQ8XFWTE1ly+f5UwJ1MkZ8 mRTa3rUxNZOF93hG6P24Y4yftND7+qhNaTvmTQhtl9+00d5jArjWprTf7x8V ug5E2pSuM6ePCu0/dxvtlRLa77tblcbVh1Pif7Pb/79W4mVKZMvnY7e1qq/q RBkROh5lK/09ImCvFvpnWOj6vaSF+TIstH83LiR/GOF+F7K+pLCf4oVcf0ro dWxeQHuNCtTxBdzvmNB14sIFwP9HxwT8tID4Ny40f9kwX+k4/3JcoM7PZzxP 0B7zWT/TQj9nRTPzJS0Qh83Ml7TQ/q1vJr9I037NSvOKx9JCx/HnTWrwqSxR SQuN60830d5pgbrZpHRcHJoQOn/tTbTvhADuNqIerRgTOg7WNCjE9YjQcfJ4 Q87e2k7XNDCehxEfxzew/gwJ/dxQg9K86ZhBrq+e+H0Y9vtLPePtANZ7ST3j eZ/QZmusV7DjLsTjzjqleYF/u9B14+E69UDWve9vEvrvp9Spv1yZtdw62G+6 Fnxh+2u0R63S6b/yHybyslbpcN601gRfjRLPN5t6X/dFlcbBsl2mtltLVIGn 7jf1y+oavh80r8tu6Ps1Ssft5IiJ+h5h/R43cd8I+W/G1HYqi5AfT5s6rL5T Tfy1IS9urGJ9tsNPT89jvDq47kql/bjUqbJePLu40sIX2rWC9S4Pn987l/jg Ujr8Xypn/XSRB5Zz/S6F9ZTT3m4FWl9OPHIrHXZvlymdZx1u1r0y8m03eP3g HOaDm7xjjvpjdlndbqXr2welCrzMzfuW0p8upfn1pSXgr2e7gEPPhxVwL4+4 EeL6neQhIbyudZBXhch3HVx/iPZxKPgnSPvYYa81QdrJzjoU5P7tCnwrSDyw kRcFua8ZE7woqBAX06aO228HFXBz2sR+grRrxtSw8VAQflg0YcJeQfLrMRN9 R5DrHDPh76DSYXtP2gTOBVnPMqb+3ntB4tu0CTsEmd8zJnhWkP46YurvjQUZ Jzbk2bdDxBs78n5JiOt3WH0M9++Af/aHlE5nh5M8M6x0XXnNSR5dQnzMQ5/2 YQn5hIs4Wkp/uOi/0lx86jh5pZR450JcfH0OnrPVxfuX0X8u9pHl5FMuxOdx c8nvXHjus3O5fxd5ewX6y715Sm/7DxXM/zzkdWMl8qIgj3WkkvdzMj7nKd1n PONgHa1iPNiZp1V8np08sor4ayOuVrEe2Jgn1cQbG9dbTfyaMXU9qoiw/k7D f9dG+P2MqdNnMML1jpvA+xrW3xFTv9xawzgeNoFbNcyvIRP+qWG8DJp6vWM1 9OchE/kZpb33mzoOT46SH+0zdV7+LMr6ucvUdnouynjabur42RElv/mvqXnb 3Fryo09N1Kla2n+Nqe/7m1rm8yvA649qaec/CR03Rh3xYJVA/tXRT+tRb/5Y R7tuBv7vqyNebBfIu3rG0R6hzf6LesbNfqHt9qn1/jC+39TAfBgSiNMG4tiw uFwbsIFxkRKapzQ3Ml5Hha6DSxvZP44Lzb83NTIfJsBvjmtS6DvS4B/fO1q/ dT5c10T7pPH9B5von7TQfeOqJu4vLTTvyzSR32dyfAKvGaHt+utm1tuMAP40 Q4+wZQTwfD7rU1rodR2YT3ycEIjvo3xHr6NvIfFvVMAuC8nHUqzfC5VO93+m wN9sLTm+Bz+0kK+mwB9Ob2E+kZ/d20L/p4Sut1taGE8p2PeYVuL1KPjI6lby jzGs76dt6K9XTfDzNsZvRkAnabPwVOh9T1j8NCM07ymOMY8nwTcbY8z/KYE6 H2P9nBYaJq6KsZ4dEdovf4+xvtvRX03ErHolsf+40rrLm07oHb1x8q086kVx 8r08CbvEiRcu9L83xYkHLqnX/0Cc+3OjP3wvznrihj633vq+R+p9bomz/ngk dJw4ccwDfeVIXCHO2S/N9j/oD7zUr9rJv7xYzzntjOd89C+/bef+8qF3fNJO /xZIva36DtaFQuhrd3Yw3gql5hVmB/G9UGq7He4gHhVSf+pgfvrQD3o6Wfd9 sGd5J/HNh++3djJ+fVKH+YmdXI9Pah79P52MT59EP9XJeuGDPvhiJ/GzCPdb 20l7+yXwr5PxWoz1P9pJPC6Wmvff3kn9oxj65tmdOb1D+8noVOCVAeiLmzuo Fwaon3SQDwQk6leHAi4EpOaX13ewbgegX32jA/3GkwHa4+jn8H877R2QOk8f aKf+F0A/e3w77FERQL+5O058LIa+9kKc9doPfezhOO3plzoubrXizY9++Edx 5mMR4uNbceoHRVh/jxW/RVLbYV6c/a8P+o3dilcf9I1dMdbLQth3dSyn16De xaiHFEIv+2WM9ipAv31xjPFaQD05xn4hX+qnRGPE43wJfG1jf+dFfv6jLad3 gIe15fQS7aeiNuafR4LftBJPPNjf91uJZx7Ew1QLeY0HesOyFtYXD/Wplpye oV9fXki+6yF+WHjskeDPC4hnHuhJlQty+Qt8nE89nfrJO1Z98EIPdjTn8h/6 ahPrvRv63Ewj65Fbajt83Mj1uaHf/Nmqd26p+fnVVn10SeiejexfXRJ5a13v QvzsbCCe5gG/XmhgfuVBj1rawPU4kY+nNFj9EfTzygb634l8/6Ke9nZI+KGe /MmB/f68nvXWzvvVE99tUtPaufX0jw14vKcuh/faz8/XsT7MoP7eWMf8nxbQ S+tY76agz4Tr2O9NQh/YVkt9K8P6Ucv+2uID1ucTQvO6Y2uZP+Poh/21xO8x oa/7T5TxNgq95Yko4zEldBz8OMp8TgnNqxLRnN6C84go9YoR8K+Pa8i/hsFX Hq5hfA5TH6lhfzMs4Mca5v8w9KFUJPdew9urEcbbMO0VoX2GoU8MRKgH8PPX q5lvIwKv1awvIwJ2qmY9SQnARHWOPwAPqogXKYF+oIr3GwVfuWBezn64XyXx YFzAz3NZb6i3XDKX/W0a+tVkec5fiKNy+icNfznL2a+lBXQBq59Ok0/O4X4n oD9F59A+EwL9VqmlL/D+JaxPowI8IJzbP/AuRD43hPg6N8j+6yD8V2EoXcbG d8IfPwmwvn4OPa0jwHj5D/j2xmLyuX+TvxZTT10vwPv9xJ81AnjjJ36/if3f WsR+6gWBfPTRP1eiHznZx/hagf5meSHjYRX6g0Ahn78W/fOVBazXG0zwz3zW 100m6n4+8Xgr9Rgv+/EdJv7sIX/cbcKPHvKzvSbqopvxsN9E/XPR/odM3Nfq awdNxFEe/Ttkwi9OK194vZP8JMXrHcz/Ud7fbulxvN5O/Bnn9TbqLWn2+0dM 2CdjQs+bMZG/kyZ4JHWJDVPc76SJPnTatPpI7P+IiX2lTeSNzdJ50ffdY+M+ xkzgqZ19+yifa2efkTJRH+3MkxH0fWc5uO5DJuLEyX54O59v6U9rTUufwnXP oq87x83nb6Bu6aZdtjOu3eQV+4irbvLGw+jL/upiHRgWiAsX4zYFnXhZHnnL mEC9dFKfmuDzndQL0gLx5yCOZATi0sE8nGQfZed6p4B7K2zkjdPoO/NsjLNp 4NCjMybWPSMsv6FOzwjgz6SJfmFGgP9kTOTtNPuuCRN9wjT6plPHLf8TV0ZN 7HMKOH5ayrTWS3yFPjV3krg3ZALHM9CdV39pWjiHOD1oWvZBnu83gRtj3P9e E7hs9YW7TKvPs/LPqivoP7dRXx0SqFebTeDCIPe/0UQ/eUigfmwwoUMd4HrW ER/2Afe8H5jou3ejj13wDvezA3V66E0Tef05cC+90oSfPmOf/Sr13PXQzZe+ ZCIO3hfApRd4v5V8/nLqbe8xfp834e+d1nW832H66W36IwWd5tg11IPHTPjr Q+bVGL+/lnpJmq+fcP0Z7vsz6NFbrHzewv1kTPCjbSbwOgNdJrrThF3TpoV/ rEPUifYQfycYZ3tN9NUTJvL6i9x68f4Q8WSYODVkWjoS/DbC+Nprwp6jJurS dpPnKbx+k4n4GWc9WE88Ged+3iWeTJjIw5Um+NYE43G5yfMO6FGLf8v9Wrj2 pqBeYiKft4JXdVt6/A7wprPs5JXbBPZvJ+/bwjrryNVB5KWTePC+wH2d/PzX wqoD8Pda2sOqAzu4Hyd5wgHT0luBp4cZxw72+YPQ3f5lZ984zHMNO/FyhHhv Iw8ZNS29F34eN1FvjvC6CRP5NEO/U1dcPsX6N0X7TZqo3zP0W5pxa+Nzx/kc O/nwKOPfwfcjrNdO8ssh1pU8noceph+tOrCfereb+sdu4ouH/Ggb8TCf/dhG nN+cVsB+/wPmTyHr6/Mm+lQf69BLOE/aXMT1f0jcKGb/SRwoD1A/3QY++2yA dWYXcGnA4Hr2QV9ba1APOQh96ewg/TQo0C9Y5wVDOK+9PEQ9fgR8cDjE/iEl oMeHub9R4lbY8qNAvJTwfG2CeltJ7rwP+mhp7jwRzy3N9RfI9zno93dngOOP zGGdmsRtHWXkv5PAuYvK+Lwp6o9l7B+mBPqouTwfmwL/vruCz5tCXfmskv33 pMB5xDzaM4Pz0FQVeUeGfLOa5w9p1q0I9bQ09Mvllv6dpv9qcuer+jln1uT0 TOggNeQdaQG71lD/yPD8Opo7D9fbujZKHjDF89oozz+mUQcGo7zfNHlFLe0/ g7r+g1rygiPEjVqeB9rQ/66qpX9tnCeoZT9lx3xapE7Br3boJyfVMa8duH5J HXmOA/3pQ3Xsv5zQ146rV8BdF/v7evbbbvTDzQ05/QD3a8jNlyAOG3J6hz6H +HcD4yMf+sNYA/WffInzyEbq0flS1+9oI59fIDUO3NlI3CvkvFojn1+Ifnys kfFNfaeuifzfh3m2vzfxc7/UxyJnNnH/1Jtqm9gP+iXOnxuZj37Mj9zeSH7u Zz/fSH8VUW+xzq+LoKek69kv+TB/k6xn/1qI+ab/1LEuFEAvfLaO5wsF0P9u ruO5Le1zah31u3ysr6qOz8uHvnOglnXHS32ilnjp5f2s8xDqNSfU5uZ5kJe1 0A+3ePC8j6LET4/E+UqUdcZDfSNKPPRI5FGU/vJAD3mzhucD1K+uq8npyTgf qWF8uDG/uSHCftLN+c0I/UU9uTpC/Yn61bXVjCcP4v1PVbSPB/rUa/N4vmOt p5Lx5aF9KpiPXujLv5vL53vgn7PKqU9xvsdj9dvUwx6xziPd0C8rSognLszL pUKYf9volNZ5KOLRKVF3Q4wHp7TOb7Euh8T5fZD6mkNa58Ps86Bf2a3zXDvz zWCfYpecu2N+2KBHOgzim43XB1jfjpBXBzhPN0NeHSDeTvN8pZj95RT1ED/7 kEnqF0XMhwz7iKLceQnyyJfTO2DnQvZNE5gfOamQzxtnX1PA+B9DPRvJJ56O 8fwkn/kzSj3Jy/O1FPHZQ/0jxXrqZjyNYL5lu4P5PkT8ddD+Q6yPdtavIQF7 8Rx/85Cw+mfsb5jngzPkgcPC4j+w17Cw+DXqzwjOe4Jp09LL0G+Nm+yDySut vj4lkFcjJuwzyvsNWjwafODQQRP3HWe93su+aJx62g7OFUxAv4t/ZvFd1v+3 qRukaY9nhOUv9g3COg9DXO4Q1v1htwPsZ8cw7zM6zHPPEdTrayfIZ79EPW2Y pJ8OsD5buuZ+9k1WXdzHvnmG+9hDHn6E/dwu1kerDm7n/uzEka2YN1tnl5Ye hbhxSPjt3/SHE7h0ycfsu52oW6Xvsa/N4/1fZ7zn8X6PM15ZJ+94kv2Sm3VY sa9zYy5SvU9+7OH79ezTvLz+M/aDXuji921h35Mvrb4H9iuATh/fZYInF+Cc Y/se9i+F/P4XjAsf5tKPOWhac6q4/jDmi84o4noGyZeLJHUPxp2fc90j7OeL OaeYYj9QTJwdRX/Vw3OpIfZ5twd4jjABvv1xQFp6lKaZ8wxpzbtYc8bUt9Ff vmhAx79qyoT9OZd95TT7iaC05mvQR4V4PzvrWph1ykncL8Uc++l5xIU5mOs+ 1oVzAHsZ5ypd/H4Z5n5PdnPuvJz+dgOnzpyLOdkHLX1pLu3vBg7+pgJ14Wo3 5zIqOYdrfV4prfkm6EiVrIsuRX0ZdfleF3j+wiqeq+Vxzr0a56CXOlGXjIjE OuysIxH8ruAxG86Jr4hI5pVJ/Zz7m0J/f1OEc7kZ9pUR8LD3x9GHXhBhHR1F f/wN6/0I9acI6tDGIcZfhDxjkH1sNedSD9Jf1bTfF5yPqsbc66N7qDNUgwds 3WkCh6pw7nfGdupDVTg32rkFOmF7Fc5lf7XJRJ84j+c+n1JnqGQ8v2KC11VI zvux/5mLc/eyVeynyjHn/sQa6jhlnKtfx/OOMvyOY/l64t0cnNNt2UC8KOU5 3EbMi9xfKq15RPxepAS89cKdOJ8wSnn/g8DNi0v5+ZfE61KcI7YNsV+aw7o+ zP6wDHPS4yPAyQfKpVUfdRzUVFj5C93yxgrGY4rnSRX83csIcP74SsbvCPq/ FyuJH8M4H6qfB97SNCy07vDHebTvEHSNeVXsKwY5H1vFOYbDrH/VOHc7+4AA jlQT3/ZhPy0RnhPv4noj5G3bYK+PI8S3zzgPWoPfhfg/5DxNTc6/4Pc1xI/X WXej0tLHsP4oz+m3Qr+y1xJP9ph6vxfVSqvuajuuqeX9hxj/deRdo4jnZXXc zwR0mKk64t8k9Kdz62mPGeDZW/WYC1hsw7xkXQPm0p+zYw7h1gb8rmGdA/Np WxuIF06cw/Q2kgfnEV8aGf8u3G9Xo+T5Kvu+Juajm7pFE+ujB7z6wybM5d9P HSXcTP97iH/N7Iu86AMeaiaeesHrNjXznNuLc82S+dyfF/h7ynzGl5fnqPOJ 917wuFfnsx54yePnM/+94GUVC+h/L39XtID54OE56kLOfbhxjlzdQh7u5jle C86ZV3A+cLCF+epin9XK/M7D+cTtrdxfHurFG63S0udwXtnK/HKiT7q5jfZ3 wN6jbdI6/4B/Y6w3NvRtJ8YYTzb2/TFpnZ/ouHo8xnpth302xYi3DvYVcfRd 3Xng9efEeT3nZf8W5/7Jk9Nx6gpe9PkntmOOw12AvmhZu+S8DXSWXe1cXyHs vbCDcwQ+xNuVHdyfD33ePzo4d+JDn7S/g/XIhz4x0sl89qFPPK2T/M3HvqST +OfjfHMn8coHHeajTszZdPhgr+FOzL1U+aB/hhahjw34UB/ji7g/H+vjIuar DzrUxYtY/7i+W45+jrq7iPnhQ/y2dtHfPugGF3QxHnzQhe7qYv4XsS/vYrwX MX66GK9FWP/6LvqziL+L62L8FkEX3d/FuQc/47lbUq9A39ndzbkFP3SWU7qZ 78XgLxd2M/+K2Zd2M76LoZPt6AZ/+3EAz5c95HMB5lMP+1IDeLGzh/414N/5 vYivjwzk64968bzDBnStp3pp3yD6rM976Y8g+nyjL/deXyb7cn2vdsOP+sCH JwzY67d9+J3Ql+x7X+njnIVB/OmjrmMAr9J9tK9BPtZPPDUQf/F+1K81Bp53 Uj9/F2agD72ln/ligO9t7peWjot6lyA/M2j/BOampg3MsV+VYH8RRN98T4J4 E4RO83gCeJwIUodNgC98nfZamWA9CiJe9yaYb5zTLkxirunJIPrihUnW/yDm WE5K8ne3QegCP0wC30tC3F8SfK4rhPOIB5LSmvtGXCc5lxTi3M0A4zGMeD5v APb8Zph4OcD+hZ8/xut/H0Y9WTHA9YaRP28NEI/D4KsfDUBHez3MuVhBnSVM /wjwvfwS6CCXCPBvowT+uUFwfSU4N/jV0fc4NhPgvx+GoYu8K4hvYepgAvn/ 8zDrhUD9vzwMe9wqyF/CwMvreL+Tw/D/YoH+6Cth1mcBfucM4/cD9YL5GoKO VyLARz4JAe+8/P6bIex/ZgD481IIc9Gz9kGd4O8YXhmQ1u8cgAsDyO9YCDrq 7wfIb0Ow1y8HpDari/e/aUCijw9CJ/3aAPlXEHO6Met5QfQr8wYk+vggdCH/ AOtPEPZxDkAHiwah62eSwPtQkL8PYby9bIBvPJtEv3angesfSrL+Mx/vSnJ/ BvDv5iTrjwH7XZOUmKs2EG/HJJnfAeyniZ//lXhWkuTvdgPQpdxJ4nMAfCaT AJ5fEAA/WJfAnGBjgLpYgv4M8Lw/wecVo1+7m9c/xbmXmxKsF8WoT0sSfF4x dKmvJMiniuGfpgTx1896liDf8wN/nQnWdz90rLF+ac3V6H0d7JeWbofziH7W Vz/mDR7pZz3wI95+2c9+2g/7/7Qfuvz5rCeL+8nn/JyL7aduyjmehn7mA+d4 Av3A33P82P9MX+77OA/py90fx+99rPd+nJO82Jdbn4bNB/sYf37wp1/0URf2 Y+5yCevD9X7M4Vx89D3mJ4++1/jU0Ef7+6kH9GGu+TI/5oQme3P20B8f6s3t R/PD7b3ko37ynV7We9bjZb3Eez/40y+s+ucHH7yml/1WEfDpf3qldc6I+dZe 5OdtRXheTS/xv4j27WU/WIT4cfSS7/D7Ez3MZ/KRNT05foWfTfSwH/Eh3p7u Yf/EuapHeshPC6GDL+nhfgt5LtIjrTkr4EAP62sB4uH4HvKbAlwf6aEeUMD1 9+CcZXU+4snZQ70jn3jRTfvn4/p13YxnL/jMqu5cv4Dfc3QzHzzkB93MNw/y 8bJu2tfNcxGL/7hRn9u7c/rP/wN4id3m "]]}}, {RGBColor[1, 0, 0], PolygonBox[{{5.751185307179586, -2.415}, {5.918185307179586, -2.452}, { 6.067185307179586, -2.469}, {6.199185307179587, -2.471}, { 6.315185307179586, -2.46}, {6.415185307179586, -2.44}, { 6.501185307179586, -2.411}, {6.710185307179586, -2.265}, { 6.769185307179586, -2.111}, {6.767185307179586, -2.072}, { 6.756185307179586, -2.027}, {6.731185307179587, -1.976}, { 6.686185307179587, -1.918}, {6.616185307179586, -1.859}, { 6.512185307179586, -1.801}, {6.368185307179586, -1.745}, { 6.208185307179586, -1.7}, {6.162185307179586, -1.688}, { 6.1031853071795865`, -1.673}, {6.028185307179586, -1.655}, { 5.933185307179587, -1.631}, {5.811185307179587, -1.598}, { 5.658185307179586, -1.551}, {5.498185307179586, -1.493}, { 5.4541853071795865`, -1.475}, {5.397185307179586, -1.451}, { 5.325185307179586, -1.419}, {5.235185307179586, -1.375}, { 5.123185307179586, -1.315}, {4.984185307179587, -1.233}, { 4.842185307179586, -1.14}, {4.803185307179586, -1.113}, { 4.754185307179586, -1.078}, {4.692185307179586, -1.033}, { 4.616185307179586, -0.974}, {4.522185307179586, -0.899}, { 4.408185307179586, -0.802}, {4.284185307179586, -0.692}, { 4.251185307179586, -0.661}, {4.209185307179586, -0.622}, { 4.157185307179587, -0.573}, {4.093185307179587, -0.511}, { 4.015185307179586, -0.433}, {3.8591853071795863`, -0.272}, { 3.833185307179586, -0.244}, {3.800185307179586, -0.21}, { 3.760185307179586, -0.167}, {3.7101853071795863`, -0.113}, { 3.6491853071795863`, -0.046}, {3.575185307179586, 0.035}, { 3.5411853071795862`, 0.073}, {3.5371853071795862`, 0.076}, { 3.4601853071795863`, 0.162}, {3.4061853071795865`, 0.222}, { 3.364185307179586, 0.268}, {3.333185307179586, 0.303}, { 3.207185307179586, 0.438}, {3.163185307179586, 0.484}, { 3.130185307179586, 0.519}, {3.009185307179586, 0.641}, { 2.965185307179586, 0.684}, {2.929185307179586, 0.718}, { 2.901185307179586, 0.745}, {2.768185307179586, 0.867}, { 2.728185307179586, 0.902}, {2.6971853071795864`, 0.93}, { 2.563185307179586, 1.044}, {2.518185307179586, 1.081}, { 2.482185307179586, 1.111}, {2.349185307179586, 1.218}, { 2.2981853071795864`, 1.258}, {2.2571853071795864`, 1.289}, { 2.2251853071795864`, 1.314}, {2.072185307179586, 1.428}, { 2.027185307179586, 1.46}, {1.9921853071795859`, 1.485}, { 1.8471853071795863`, 1.585}, {1.8001853071795866`, 1.616}, { 1.7631853071795867`, 1.64}, {1.615185307179586, 1.732}, { 1.5711853071795865`, 1.757}, {1.418185307179586, 1.841}, { 1.3751853071795859`, 1.863}, {1.216185307179586, 1.937}, { 0.9381853071795865, 2.032}, {0.6711853071795861, 2.068}, { 0.4721853071795863, 2.072}, {0.20818530717958605`, 2.095}, {-0.16981469282041406`, 2.122}, {-0.37281469282041346`, 2.122}, {-0.4618146928204139, 2.12}, {-0.5508146928204134, 2.115}, {-0.6408146928204141, 2.108}, {-0.730814692820414, 2.101}, {-0.8198146928204135, 2.091}, {-0.9088146928204139, 2.081}, {-1.2298146928204137`, 2.04}, {-1.6198146928204133`, 1.995}, {-1.9468146928204142`, 1.982}, {-2.2138146928204137`, 1.998}, {-2.427814692820414, 2.034}, {-2.5968146928204145`, 2.078}, {-2.7298146928204137`, 2.122}, {-2.8338146928204146`, 2.163}, {-2.914814692820414, 2.198}, {-2.977814692820413, 2.227}, {-3.025814692820413, 2.252}, {-3.062814692820414, 2.271}, {-3.414814692820414, 2.489}, {-3.6308146928204135`, 2.665}, {-3.7218146928204145`, 2.778}, {-3.7158146928204143`, 2.836}, {-3.6448146928204146`, 2.854}, {-3.5348146928204134`, 2.848}, {-3.4078146928204145`, 2.832}, {-3.278814692820413, 2.813}, {-3.1568146928204133`, 2.795}, {-3.046814692820414, 2.781}, {-2.9508146928204138`, 2.771}, {-2.8698146928204142`, 2.764}, {-2.8018146928204146`, 2.759}, {-3.062814692820414, 2.771}, {-3.3468146928204145`, 2.803}, {-3.5218146928204135`, 2.815}, {-3.607814692820414, 2.796}, {-3.5408146928204136`, 2.642}, {-3.4288146928204135`, 2.545}, {-3.2828146928204145`, 2.44}, {-3.0458146928204144`, 2.3}, {-3.009814692820413, 2.281}, {-2.9638146928204137`, 2.258}, {-2.9028146928204137`, 2.229}, {-2.8258146928204138`, 2.196}, {-2.725814692820414, 2.157}, {-2.5988146928204134`, 2.116}, {-2.437814692820414, 2.074}, {-2.2378146928204146`, 2.041}, {-1.993814692820413, 2.024}, {-1.7048146928204142`, 2.034}, {-1.3758146928204136`, 2.072}, {-1.0268146928204134`, 2.127}, {-0.6948146928204135, 2.182}, {-0.3628146928204137, 2.244}, {-0.33081469282041365`, 2.252}, {-0.2928146928204134, 2.262}, {-0.2488146928204138, 2.276}, {-0.19781469282041364`, 2.293}, {-0.1368146928204137, 2.315}, {-0.058814692820413406`, 2.341}, {0.05418530717958614, 2.369}, { 0.26518530717958644`, 2.389}, {0.31718530717958604`, 2.389}, { 0.3891853071795861, 2.385}, {0.4881853071795863, 2.374}, { 0.628185307179586, 2.349}, {0.8261853071795864, 2.297}, { 1.1091853071795859`, 2.193}, {1.261185307179586, 2.125}, { 1.3051853071795865`, 2.104}, {1.362185307179586, 2.076}, { 1.4371853071795861`, 2.037}, {1.5341853071795866`, 1.984}, { 1.6611853071795863`, 1.912}, {1.8261853071795864`, 1.813}, { 2.0421853071795866`, 1.677}, {2.321185307179586, 1.496}, { 2.6701853071795862`, 1.273}, {2.7051853071795864`, 1.252}, { 2.7491853071795864`, 1.226}, {2.8061853071795864`, 1.192}, { 2.8791853071795863`, 1.15}, {2.9711853071795864`, 1.099}, { 3.090185307179586, 1.039}, {3.240185307179586, 0.97}, { 3.4311853071795864`, 0.899}, {3.675185307179586, 0.839}, { 3.990185307179586, 0.821}, {4.266185307179587, 0.862}, { 4.283185307179586, 0.865}, {4.312185307179586, 0.872}, { 4.598185307179586, 0.965}, {4.991185307179586, 1.129}, { 5.364185307179586, 1.284}, {5.716185307179586, 1.398}, { 6.041185307179586, 1.463}, {6.332185307179587, 1.48}, { 6.586185307179586, 1.461}, {6.802185307179586, 1.42}, { 6.982185307179586, 1.368}, {7.130185307179586, 1.314}, { 7.248185307179586, 1.263}, {7.344185307179586, 1.217}, { 7.421185307179586, 1.177}, {7.481185307179587, 1.144}, { 7.529185307179587, 1.117}, {7.566185307179586, 1.095}, { 7.785185307179586, 0.954}, {8.039185307179586, 0.767}, { 8.292185307179587, 0.56}, {8.542185307179587, 0.336}, { 8.787185307179586, 0.102}, {9.024185307179586, -0.136}, { 9.253185307179587, -0.372}, {9.474185307179585, -0.602}, { 9.684185307179586, -0.822}, {9.883185307179586, -1.03}, { 10.071185307179586`, -1.223}, {10.249185307179587`, -1.401}, { 10.415185307179586`, -1.564}, {10.571185307179586`, -1.711}, { 10.717185307179587`, -1.844}, {10.853185307179587`, -1.962}, { 10.980185307179585`, -2.069}, {11.099185307179585`, -2.163}, { 11.210185307179586`, -2.247}, {11.313185307179587`, -2.322}, { 11.409185307179587`, -2.388}, {11.498185307179586`, -2.447}, { 11.582185307179586`, -2.499}, {11.852185307179585`, -2.648}, { 12.126185307179586`, -2.769}, {12.324185307179587`, -2.837}, { 12.469185307179586`, -2.876}, {12.576185307179585`, -2.9}, { 12.657185307179585`, -2.914}, {12.717185307179587`, -2.923}, { 12.764185307179586`, -2.929}, {12.966185307179586`, -2.943}, { 13.094185307179586`, -2.944}, {13.210185307179586`, -2.939}, { 13.314185307179585`, -2.931}, {13.523185307179586`, -2.901}, { 13.842185307179587`, -2.825}, {14.049185307179586`, -2.758}, { 14.188185307179587`, -2.704}, {14.286185307179586`, -2.662}, { 14.357185307179586`, -2.63}, {14.408185307179586`, -2.606}, { 14.447185307179586`, -2.587}, {14.689185307179587`, -2.451}, { 14.810185307179585`, -2.368}, {14.890185307179586`, -2.306}, { 14.945185307179587`, -2.259}, {14.983185307179586`, -2.223}, { 15.113185307179586`, -2.069}, {15.159185307179586`, -1.992}, { 15.188185307179586`, -1.933}, {15.205185307179587`, -1.887}, { 15.241185307179586`, -1.727}, {15.246185307179585`, -1.647}, { 15.245185307179586`, -1.586}, {15.241185307179586`, -1.538}, { 15.212185307179587`, -1.372}, {15.191185307179586`, -1.296}, { 15.173185307179587`, -1.238}, {15.157185307179587`, -1.194}, { 15.093185307179587`, -1.042}, {15.061185307179587`, -0.974}, { 15.035185307179587`, -0.922}, {15.013185307179587`, -0.883}, { 14.922185307179586`, -0.729}, {14.889185307179586`, -0.676}, { 14.862185307179587`, -0.636}, {14.754185307179586`, -0.486}, { 14.720185307179586`, -0.442}, {14.694185307179586`, -0.409}, { 14.577185307179587`, -0.274}, {14.547185307179586`, -0.242}, { 14.421185307179586`, -0.117}, {14.288185307179587`, 0}, { 14.154185307179587`, 0.106}, {13.911185307179586`, 0.286}, { 13.774185307179586`, 0.395}, {13.647185307179587`, 0.505}, { 13.566185307179587`, 0.798}, {13.614185307179586`, 0.801}, { 13.663185307179585`, 0.798}, {13.708185307179587`, 0.79}, { 13.749185307179587`, 0.781}, {13.783185307179586`, 0.772}, { 13.983185307179586`, 0.695}, {14.129185307179586`, 0.62}, { 14.264185307179586`, 0.539}, {14.384185307179587`, 0.459}, { 14.487185307179587`, 0.385}, {14.573185307179585`, 0.319}, { 14.537185307179586`, 0.321}, {14.469185307179586`, 0.37}, { 14.391185307179587`, 0.423}, {14.303185307179586`, 0.478}, { 14.209185307179586`, 0.531}, {14.030185307179586`, 0.603}, { 14.007185307179586`, 0.607}, {14.002185307179587`, 0.558}, { 14.228185307179587`, 0.376}, {14.262185307179585`, 0.349}, { 14.397185307179587`, 0.243}, {14.433185307179587`, 0.212}, { 14.570185307179587`, 0.094}, {14.603185307179587`, 0.064}, { 14.643185307179586`, 0.026}, {14.761185307179586`, -0.09}, { 14.791185307179585`, -0.122}, {14.828185307179586`, -0.162}, { 14.941185307179586`, -0.291}, {14.969185307179586`, -0.327}, { 15.075185307179586`, -0.47}, {15.097185307179586`, -0.503}, { 15.124185307179586`, -0.546}, {15.213185307179586`, -0.696}, { 15.234185307179587`, -0.736}, {15.262185307179585`, -0.79}, { 15.342185307179586`, -0.954}, {15.361185307179586`, -0.998}, { 15.386185307179586`, -1.056}, {15.417185307179587`, -1.135}, { 15.471185307179587`, -1.292}, {15.485185307179586`, -1.339}, { 15.501185307179586`, -1.402}, {15.518185307179586`, -1.485}, { 15.535185307179587`, -1.693}, {15.534185307179586`, -1.734}, { 15.529185307179587`, -1.786}, {15.516185307179587`, -1.855}, { 15.488185307179586`, -1.945}, {15.428185307179586`, -2.064}, { 15.318185307179586`, -2.204}, {15.276185307179587`, -2.245}, { 15.213185307179586`, -2.3}, {15.116185307179586`, -2.372}, { 14.958185307179587`, -2.472}, {14.683185307179587`, -2.614}, { 14.485185307179586`, -2.7}, {14.284185307179586`, -2.778}, { 14.244185307179587`, -2.792}, {14.190185307179586`, -2.811}, { 14.116185307179586`, -2.835}, {14.017185307179586`, -2.865}, { 13.878185307179585`, -2.903}, {13.680185307179586`, -2.948}, { 13.389185307179586`, -2.991}, {13.081185307179586`, -3.006}, { 12.981185307179587`, -3.003}, {12.872185307179587`, -2.995}, { 12.751185307179586`, -2.982}, {12.619185307179587`, -2.96}, { 12.473185307179588`, -2.928}, {12.312185307179586`, -2.882}, { 12.135185307179587`, -2.819}, {11.938185307179587`, -2.734}, { 11.722185307179586`, -2.622}, {11.483185307179586`, -2.477}, { 11.220185307179587`, -2.294}, {10.933185307179587`, -2.068}, { 10.621185307179587`, -1.795}, {10.468185307179585`, -1.651}, { 10.401185307179587`, -1.587}, {10.333185307179587`, -1.521}, { 10.265185307179586`, -1.454}, {10.195185307179585`, -1.385}, { 10.125185307179587`, -1.314}, {10.053185307179586`, -1.242}, { 9.982185307179586, -1.169}, {9.909185307179586, -1.094}, { 9.836185307179587, -1.018}, {9.763185307179587, -0.942}, { 9.688185307179586, -0.864}, {9.613185307179586, -0.786}, { 9.538185307179585, -0.707}, {9.462185307179587, -0.628}, { 9.386185307179586, -0.548}, {9.310185307179587, -0.469}, { 9.233185307179586, -0.389}, {9.157185307179587, -0.31}, { 9.080185307179587, -0.232}, {9.003185307179587, -0.154}, { 8.926185307179587, -0.076}, {8.849185307179585, 0}, {8.772185307179587, 0.075}, {8.695185307179585, 0.149}, {8.619185307179587, 0.221}, { 8.543185307179586, 0.292}, {8.467185307179587, 0.361}, { 8.391185307179587, 0.428}, {8.316185307179586, 0.493}, { 8.185185307179585, 0.603}, {8.148185307179586, 0.633}, { 8.102185307179585, 0.67}, {8.043185307179586, 0.716}, { 7.968185307179587, 0.772}, {7.875185307179587, 0.84}, { 7.758185307179586, 0.919}, {7.614185307179586, 1.01}, { 7.439185307179586, 1.108}, {7.230185307179586, 1.207}, { 6.9861853071795865`, 1.295}, {6.708185307179586, 1.357}, { 6.4061853071795865`, 1.378}, {6.089185307179586, 1.344}, { 5.776185307179587, 1.253}, {5.485185307179586, 1.113}, { 5.238185307179586, 0.939}, {5.058185307179587, 0.742}, { 5.054185307179586, 0.735}, {5.016185307179587, 0.663}, { 4.9941853071795865`, 0.531}, {5.017185307179586, 0.441}, { 5.058185307179587, 0.376}, {5.102185307179586, 0.33}, { 5.144185307179586, 0.297}, {5.1801853071795865`, 0.273}, { 5.336185307179586, 0.201}, {5.493185307179586, 0.16}, { 5.636185307179586, 0.137}, {5.7601853071795865`, 0.124}, { 5.866185307179586, 0.116}, {5.9541853071795865`, 0.11}, { 6.027185307179586, 0.105}, {6.086185307179586, 0.101}, { 6.133185307179586, 0.097}, {6.171185307179586, 0.094}, { 6.525185307179586, 0.044}, {6.823185307179586, -0.04}, { 7.086185307179586, -0.157}, {7.310185307179586, -0.295}, { 7.4941853071795865`, -0.438}, {7.640185307179586, -0.575}, { 7.753185307179586, -0.697}, {7.840185307179587, -0.804}, { 7.905185307179586, -0.893}, {7.9541853071795865`, -0.967}, { 7.991185307179586, -1.026}, {8.018185307179586, -1.074}, { 8.039185307179586, -1.113}, {8.127185307179586, -1.307}, { 8.176185307179587, -1.468}, {8.202185307179587, -1.632}, { 8.199185307179587, -1.797}, {8.162185307179586, -1.964}, { 8.083185307179587, -2.132}, {7.949185307179587, -2.302}, { 7.747185307179587, -2.473}, {7.453185307179586, -2.638}, { 7.158185307179586, -2.743}, {7.065185307179586, -2.766}, { 6.964185307179586, -2.786}, {6.856185307179587, -2.802}, { 6.740185307179586, -2.813}, {6.8451853071795865`, -2.797}, { 7.057185307179586, -2.76}, {7.245185307179586, -2.708}, { 7.410185307179586, -2.645}, {7.556185307179586, -2.574}, { 7.683185307179587, -2.499}, {7.791185307179586, -2.421}, { 7.884185307179586, -2.34}, {7.963185307179586, -2.258}, { 8.027185307179586, -2.174}, {8.079185307179586, -2.088}, { 8.118185307179587, -2.002}, {8.146185307179586, -1.914}, { 8.163185307179585, -1.824}, {8.170185307179587, -1.734}, { 8.167185307179587, -1.643}, {8.156185307179586, -1.55}, { 8.135185307179587, -1.457}, {8.107185307179586, -1.364}, { 8.070185307179585, -1.27}, {8.027185307179586, -1.177}, { 7.977185307179586, -1.084}, {7.921185307179586, -0.993}, { 7.859185307179587, -0.903}, {7.791185307179586, -0.816}, { 7.719185307179586, -0.731}, {7.6431853071795866`, -0.65}, { 7.5631853071795865`, -0.573}, {7.480185307179586, -0.5}, { 7.394185307179586, -0.433}, {7.307185307179586, -0.371}, { 7.217185307179586, -0.314}, {7.1271853071795865`, -0.264}, { 7.035185307179586, -0.219}, {6.943185307179586, -0.181}, { 6.852185307179586, -0.148}, {6.7601853071795865`, -0.121}, { 6.669185307179586, -0.1}, {6.5791853071795865`, -0.084}, { 6.489185307179587, -0.073}, {6.401185307179587, -0.066}, { 6.081185307179586, -0.07}, {5.678185307179586, -0.118}, { 5.316185307179587, -0.169}, {4.996185307179586, -0.213}, { 4.887185307179586, -0.233}, {4.8771853071795865`, -0.236}, { 4.700185307179586, -0.302}, {4.625185307179587, -0.376}, { 4.604185307179586, -0.454}, {4.614185307179586, -0.53}, { 4.641185307179587, -0.598}, {4.674185307179586, -0.658}, { 4.708185307179586, -0.708}, {4.740185307179586, -0.749}, { 4.767185307179586, -0.782}, {4.887185307179586, -0.907}, { 5.122185307179587, -1.098}, {5.354185307179586, -1.243}, { 5.561185307179587, -1.344}, {5.737185307179586, -1.414}, { 5.881185307179586, -1.462}, {5.997185307179587, -1.496}, { 6.090185307179587, -1.522}, {6.163185307179586, -1.542}, { 6.2201853071795865`, -1.558}, {6.265185307179586, -1.571}, { 6.424185307179586, -1.62}, {6.777185307179586, -1.826}, { 6.856185307179587, -2.169}, {6.8131853071795865`, -2.246}, { 6.743185307179586, -2.322}, {6.638185307179587, -2.393}, { 6.493185307179586, -2.452}, {6.298185307179586, -2.488}, { 6.044185307179586, -2.486}, {5.718185307179587, -2.419}}], { LineBox[CompressedData[" 1:eJxFW2dYU1kTDqQCISQhdFRApPfezwHsil3Xta3r2taCrp991VWx9967Yu+9 32PHjlhQsaCAWEB6b19yZxL5w3OfJPeeM2fmnXdm3us8ZFyPYcYCgcBbJBDo /hvP3lc4Ny6GvneVzFmfKGJhZzKdznePoS3m/+h+sbmILRpdmbo7JYZuSlan sAdCNsXyWsnrZTG0b+TZtMnXhczz1NHNOzfF0JzUrbedTgrZjtZ3tlfsj6Hj dF/fLWTF9Tkuny7GUH/+AUK4X04MHRr9sevyjUIm6N0s81DRr+/3+avj4nZN MbTLEKX2EUJ29J8p0Xl+sYb1XGjvcNQlMpbGmmbuHR8rgue1jaXPXLJqZo3C z3+PpcfbfZquOS5itzq2DY6cEEt1T0tWi9nMdT1Ch26OxfWLmX9Qwnuv1Fha 6TFg5c0KMeu8bL+t6blYevBup/DF8RJ2rtm69R0exNI3T6p65qRKmPe74JNT 82PpyNWFM0iolEWZfEkaaRFHvRdaa78iZaXuoyMvt4ujoYMud5Abm7BtdnEL HTfFUd3dPQaYsv+4N51i0+JoR7mx9idm7P7DrMm3P8TRbVrrTRhpxuZ8HzzE uiqOXmyu27AZ+/w0cH6JklB+u6ZysL8Poe6BsqOO/eTs378fNl/akVCF7+nt RQfkbN1YZ9+LMwj9b9TViWttzeF5iwi9P/n6Tnt/c/ampZX38nOE/qvRWcic 3Zn0uIP6BqH9+AMxZ70ibk1ILia0uqfuRM1Zwf6XFX51hBrzGzRno55xZbNF lCYMzkt3yTJnshsjLj9yoJS/rDFn2Sv/UJx0plTA/ylYm4dxg2I9Kd1lr/MA Bft8+YvrYkrppLW2oj4KBXudk3C2U1tKD5dkJA1RKli/aQvIxaRf1/znwynu X8EGPV03ZtRoSl9O/eYWKFOwZPcnTsETft3ftOBneup0ivZXMPvWHvOTV1M8 X3PWwTlpadEGSm882N3mfJk5c7pzLa1mO6V9eAPi5/spLeiuOwFz9luXJo+P 1yntrPWGwXnmLGlK/4u7b1NqwzuEOfs+XPhf4cNf19fPDlvZ5uWv66mN/6we X/DrfkvmBA1Ql/563pBWezc71vxaH/+5cbzBfqdPR8n8HeNpecML7Y5xP87x tFF3GahgXtv+jAz3iKf/4x1SwQ5Jmh9/EBBPeXfsqYD1RcfTf/iAUbDxPXqH y7vHY3wpmHLsPE3gb/GUv0xTsIkH/xp6fVA87lfBXiwPWbh5ZDyelwU7kLVh Y8mceOrAB7QFG/7vqbtPFsTTLZt1fxbs0Scb39Dl8fSnNjoGXbYAe6zX38+C pS01EaTsjKd8OFgo2dY3o5VZF+PRn5Vs8vPv0zdei6fny7Qb/lvJrH/a9b16 K55qg0O7QSWjkwIClz6MRzxRspH7I94feBlPdejR5ryShfxPfHji53iqi/52 n5TMr3Tc8G8V8XSf1nsyW6rAf+rw+2Eq+L5xAvh3FxXc3yyB8vCUrGI+9752 VdokQLxuUMH+AxPo0jH5dYdKVOAvYQm0mw5ehGrYf2wC4JuNmu3uZ9RreJsE aqe1nm+Qmq3IpItvd02ge7Te19BLzSQbsveWDUigfPjMUkN8TUygPBzeUbOM IcfGs2n4/Rdq5jjuxNZ2sxMAL76q2cXg9E6XFyWgv1iyoPaz1m5dm0B10XHU 0ZKF7VjGknYnUN3yUqglk9tMzp91KYG25Q1sif6dQHl4nW/J5gm22y68k0Br Z+kAxJJ9UVZ0j36SQHXo8X6fJfjrmwQ8X0vY/5cEOlZnjgxLiG9BIt2QqLOQ JauIPVDkJUmkPByJNOzkwjMlvc0TAW/MNezq4g9Tx1gngv/Yadjt0LqMdOdE 9HcNmzDzXVKefyLdUXRAi8gapt5k5m3aNhHPS8N+6Py7UyL6u4Z13fP5yfSe iYBP/TWMdDxkf3pAIuXda6iGDe3mdbJiRCLE3zgNM6IZk+P/SwQ8WaRh7GNB avN5ieDvKzRs8/HcGqMliehvGoivVYmUTx87Ncw8oaHht02JmG80bKXufHcm gr2ZBvw/NRH8+62G1aw95/h+byKcd6OGNWk6DR6pvR/kEyvwn7GJgB9/WYF9 +yQCPkyyYkcCU2/v7ZqI+G0F/hGZiOdnxT4MfV31KiiR6tDPe6EVM9Odt6d+ f1aAz6pf164OjyqOmCUCfi6wAv8R4nnNswL/qtb7pxWb0Wv2dZfvCZSHi8lW 7F1k908NzxMM6+XP93ECnaJzmIFWiJfoHz2swH+0/sfnl9ZW4I+HEsB+flZs gber/+B1CbSVjo6YWbHeLaeqJVp/588vF89jegIt1aWH1xrE/wTaXmf+exo2 +/CKHy9GJAA+ntKwwbUOKYn9EiD/r9GwdpV3Jlq3T6DD+T8NxKN/AvXkE7QG 1mOSQG9V6AxuifkuAc7nnCXki4Z4qkOz9D0YL1p80UVDh2WWLGHXhXZDv8cj flgC/mbFw/raWQKepiF+WVmyqPIthU3H4ymf3jLVkC+WxUO+W6KG3/ePR/9Q s53+02OX94mnPBz7qgFPu+rxTQ3x1DYe87+aubXtKZ8fFY/2VLOz7280l3nH Y3yqMP7iqTMPsCqWHu7WL7+W0nptNCd9VkG8vaL0no4OZavYTdOJV6v2UNjf T8THjfp8qoL9L6GAL9Uq5lLc+mPGDD0fUAOeJOvzNeJjb32+1+MjRb6mZgpd fLWnlHd3jRryUxw14Ct//kEU8UON+EHpUx1dc0B7yn99frhtsas8mxieN5+O W5m2jlAde7xarmL3dvUa/MOf0GDd3xkV8FtbgvGuYrm1F7c+aIqjxTo4Wqxi 1+6fLDqWF2fIF+4LWqXcvR9Hm/EAp2ItA2z6aI7GoX+r2Ml780duXBYH8SlV MROjqEDF6DjkU0o2bFW9W7iWP7bmE4wS+JlzHN2vo9cTlMAnq2Mxfynh/o9i IV9+s2D9LvU9X7MtFvmmhYEPA99WAF/tGov5VMHGxtjN2ZoQi/lXAXw5KBb9 SwF80jHWwE8iPgwKXymIRb5vzqbFtZadzorB55mzhHPGBx8djkE+KGdbfp4f n/h3DOT7lXLkyzHoz3L2bEp1usfbaMqb117OGj03sHQWjectZylWX6cWpf66 Nv+t/SC2KBr5s/7+0VgfyNF+0bh+Odtf/Knqd5do5EdytumWf79RtVGUT0d9 5FBfPIlCfiRnzU7MUS/eGQXxslQO9h0ThfWJnFUfFMxsExKF+5ez9mGbfvxW FUmn8QlXznaN63z2yblIw+/5/Y6LNDx/z5bnDw64RmL+NGO+0it3u7+KQPua gj/Nj6C6X4/JNwH/DIlAfiVjlTOnDR+TF472koL9toSjP4oZVx4uWdgrHONL xK7s8Hzzwjoc+ZEx+NOnMLw2YjZ+BU8aTochXhixS//bc7NuYRjyVQHWE2G4 PgFr8VbmOSQ5DOPHiJ0plf83vn8YnckDoBGcHw1D+xix8h6lXddahwF+DDZm 83TneSeU3tGVO6uFTHTEWzTgWCjyQyHE38pQQz36/d8uH3uPCQX+dFrE/lnj fjyJhqL/iOH8TUKRf4hZ7fOFa5vfCkH7S6AeGxGCz5eyD9Na9iXBIVjfSMEf 7EMQ/6SAD4IQ9DcZ63LB1z8nJxj5hwzXH4x8Q8Y6/tnCOHB/MNafMmYlHHbR dV4w5kcZ+NMfv675ejgiGPmIjP3v2vHbbhbB6B8yiMfPQYiXMljvmSDEHynY d3YQ8jspk+nwo1MQ5bc7RgLxqw7C/YvBH18Gon+L4Dw2BKL/CNFfApEvGIH9 LfTfb+Je7Pkv3+h+ANandRw8PwDrqyru1WNJ49vwAMgXQ0q533N+Tn7w3p/q qtG7nX5wLv2OWed19sfz+cQdu7tOvfK6H+Tvvs+4vUXFu7uH+CHfHMk1E+38 FnTCl/LmiX5Kjmw1rz/n74vn/54My7NrzD7vg/6YSzp/ulV0prUP8FPX72TG 9a8VIW+9Mb//JB3Px7x5O8kbz7eY/LnS7JmfnTfw6zalxDbFZP+Bm16Yn8tI rUfqqLQJXmj/cjLr2zi5wtML+VY5sfStm1qR60lbQsIgfgNeb69L9UR+Xk7o x00jt4/2xHqqnLxOOvJjYJgnnl85eTs1yDhc7El59x1UTiKCZygix3tgPVFK 2i89d9Mo3x3xvphcSuM2p250R37wA/fjDvzDJZ9MHfk2be4Md8Tbz+Svy2vy pQfd8fkfyLkJp8aU1bjj+l7DeiZ7YLy/gOe5e6J/PiGNs85snL7KE+vTe2Sf /dSLXrc86XPdcUXeJlsSX7QrrPbE8+HAXkFe2P84Q+4++O50dbwXnucm+Py0 F/L//Rz83ov24gGCcfz9E72xvnzMwfO9cT2vuIPjF+S9y/bG88jmsmvutbkZ 6IP+kMf1Wp7dwXa2D/pfATeXzIpkd30Qn0o53j71PmjPSm6ZtcvhBqUvxl8d B+fpg/WQgBV3N6pdctAH8ciI8etL8cH4MGZ/R3t4r+3lg/0UIdtQeMc+2sEH 87eQvdt7yVb5whvxWMTEgg5Z4pnewCeCxQye743nIWZ/DJ13ufcSL4wHCesW nuE4/LMn4r2E/XZxxOAShSfmZwmbqH60Nf2DB+KfhD2ZLP3X6agH2lfC+PjQ ni+cv5ilVfwTvp54IH8XsxHK3ZrLYg+sr8SsdeiB9V3vu6M/i1jGI6uDGYvd Dfi7Lbn/oLvt3A39ON4eQnfkZ0I2MLJh74wrbrg+Y9ZjyO/B5B83xB8jtmD9 suETXN2An+4VgP1etMJ4a+KW/Niy1nVuK8SjBu5rau5ON99W2P+q5VTGE4c4 vnLFfF7NgT1d8bwquFs7/zLNcXbF+Crl+P3daYn4XMTx8TCyJeLrN47fr0lL 7CflcJtskwI1h12Qb73hCupKH73u6IL3e8Dx9i1wRn63hotZvCT6x3Jn5Bt3 yB2dvwc4I769JJUZG2KtXzphvGST9N0rVtdMd0J755HuuvN1ccL8/414zJ8p u72pBfaLCknowoMr35Y0p48f6f6KydE27Q+bdG2O/ltKDhRFzvztVDP8fhlJ PNvP94FdM1xPBRk69PH6/gsd0V6VxFSw5rxZrQPutwru/48D9j+rSF6N0jnt pz3m72r83B7Pu5oUpZ9dLa6xow919L6hmvhLLDt3nW9Hefj3riFlbreuX7C2 Q/vWEBfR19sRR20N11e3zxmU0cYW46WGsLKVS+fl2GC81xA//n42UC++ryY+ WUtDJ5+3NqznfVL53b+CrZBPVJL1Y6adPvfDEvNPBVltPXq+8Ika6/MyvFZh vJaS/bdPD5/1WYn2KoHniZWIHyWk68f/1R4fokC8KyGz81vYmNyTI18tJd1N 65SLAs0wnsvIsm8dd7TYZUJ5eEgvJw1uvSfdUsoQfypJhCTVuP9/EsxH1WRi XvnK0kIR8olacuJ262ZLBggR/+rJ973rDjs/NEJ/aSRuKbnhlyIFWI8K6KbY Hqcy+jYQ6PcZ0dyJWaVBcbUE7GlMX28Pn1sRXEXg/IU0IkWWmu5bTiAfCOlR a+dDbjElBOpZEU277v902bECAv4kprODb+WvEuYT3txyCR0p+nJzydxPBPrB Elo8JOBGea/XBPBdQndBw5Pw7p4kpbMFh6OO9zxBgM9JKS07eGE3ucDB87Sf txi/q6TrEw7sL6VKx6i6/+Jec9gvpwEk9dCAadkc8h0aoGm+NuVwruH6tbgk O+/yV8P3+24NGdNjTwEH9Y6U3nb75jszpJiD/Ki97j6+dR9hqeH5i9pt3pV3 p4wDfi6luzoVHVdrcQPyk3Y9gyaMe29XxUF+l9KY6I2TBp2o5uA8pdQnZ+CN 9RG1HPAZKc3ufbdHyrk6DviglHZbm+7p7tbAwXlLabWR1L4p14gB35DQkxWi oilPRAziR0LPdrJ09BojZXr7Td3YMXX0IxMG/XXt/TM8K6r/kjPwZ61f+awI eH1GzsD/ZdQnNCopyNacAd7IqFIy0MNnozkDe5lQzYDRvT+EKBjkZxMqP9ml blqNgkE8mNBNjmFVLX9YMKwvaNvl4ouSxUoG+zWlg1b3vxscrWJgb1O6wX67 m51cW4fz8wUzKul7oOFqvZoB35VTpX+n5FqJhkF+M6erNktzlrewwvub0yW2 E3YaB1sz4KcKaj3/961HXW3wfgrqetosctsjGwbxpaAFHg9en6+zYdjvp8Nj pzptmmzDAC/MaUZNwZmT060ZnLcZnTzK6/rC5tYM5yf0baqJwuq8FYP6xZTm zjg2qwe1Yjh/ocebl4W0va5hkF9MqMjXKT/HV2OwnyBTdTlwlSWDeJPRRYXf F3nmqhnkKyk9u3PR1Gdeagb5UUKTr5sPbfmXikG8iumXAyHrvVcqmT7+XtTN n3fldwsG+dWYrtu668ymWeYM/M2IyvwvXfi5zIzBPEtAR2qWvL2/wIQBfjcS TWBunHi4FO9fT2jOHL9jPto6h/ffWpLbk4uYl27MIF5rSPmR6oLO7QQM/FOL t+lvBQ831HKQ32pI6/wzT29+r+EA/2tIuofm3FrzGoxP/edVHPCnWrJuYqe4 l2MruR68wWrJmMKQYZLJ5Rz4Yy1Jm1HVzz+jhIPzryOyiyvSl88pwHisI+0L C5ZkLv/M8f3xlHoisLeY+PewZxzUX9r9qBJ/9hx8lwP7aK+Trw375nSaA//Q fn/eKHG3zakE7FVPdlneWhOfc5sA/6kn41u5fe+Wm0FgPllHWKCH1evaLAL7 ryOC+5L/NXz/TMBfa0nx1l4vzRO/EuB/NeTi6pmB28U/Ef+qSXXS4e8LnEsJ 8PNKUuBU3XnjtAoC9UI5mXd59ZcAyxoC9ishafZTLvT8WU+gXiokyUP/6Dxi jgDrjy/ERzT939b7jTG/vSM7x5j9fSNPhJ/fRbyXIn+/zl0Y/+eUnxtNsJ+b xX2dar6ufb0Z9pfzuVyXpuEbBimw31DMpXe6T5L6KbE+reD6Lfds1XymCvtP NdziUV28d65RI5+t53i+sNkS6/smLvL9+avLVmowPxuxrufnn82eYIX1hTFb SO5p7iZaI181Zrc77LgYZmRDwR+EDPK9DeXT6XYh2528L/JRa1vsfwvZgIsn o6se2mK9LWRjlN+LuAQ73I+QZUzu1sftkB3uV4j31/MRIZt9PfBZVKY98htj tnezd7dUSwfM5wKWHP2PZLPKAesNAesQWjy+t8QB7SFgJ7f2ybxSYI/ra+KM e00acOC6PfKJRu7yhNp2NZPtkQ81cN+6tugyXW6P+b2e4/nPNDu0Vx3XafCU hX4vbZHP13Fzv13Mt9xvi3ykjhus4EYe+lu/31pubXzp1neOtlg/avPI3feF 667YYP1VC+uJs8F+SA1n69u6V91ua3x+NTfxqqSja6MV7reK+7TXuNzqmRXW B1Ucz782WOF+q7jJ+csHN3S2Qv5Wydn3fTjqRbEG66dKuN8sDfLBCk7g+bPN kyJL5KNlXLQs7vmwQZY4Xy/leD4WZonz3xJOkxnq3kFkifyuhOPP+7Ya+VYx 2lON/LAI1metRnsU4P5UyLe/cUEDnKcZtVQhX/rCwfmr9HyZG76y19GQV0rs h+VwjQ3D/St2KbF/95nrE+5QPfoPJdYf2eDPFkrsb2VxTd3fLd32UYH9i2fc BvZTMfCwQt9f4C5t/br83nAFzgsfcCNy7sveaRTYL7rDGc38a8+k4+bYP7jK AR80x3n5Aa7gicON2s1y9I/d5G2n/pV9e8nRv04T8fN/nrp3lkN/eeIZAvcz w3rrNrm73dLqAzHD/tEjYuI5u/7NN1Pc/zMC6zXFevU5+XNIyJ1uB01w/v2O RAX62IV0MUH8+EAGyt027TA1gf731mwSNN+Ce6qWwXwyJZeY9ZJanrkoRX/K Iys0GWerk/X484VcuTtu365QKfYb8onq5bY+ca0kGB8/COc461mP52LEswKS dLYg5+VaMc5LCslYHv9E6H/F+HsR9oNKyLr1I6pTsoSUh/e7Jch/jbEfXYZ8 3Bj5cTlJS9vifUFhbOifOBl3Lfd9bIT9zQrSmX++gPLt4DeVpNjV6+fRcAH2 o6tIt4WDzjR8bEL+W0UET4mfekUDgc9ryMTwZw4rH9cTqN9riLK+5KFRWD0B /68lMxSTlj3KrCHgT3Uk4OjQkLUtawj03+rJIuUuyxxtXQLn20D2jRJ1vSmo JBAvDWT20JRLsyaVEeB/jYZ8A/oSAV21tH7r79PzCNTLAiqIabrYPuIDQTyj g010goYHuH4B3bVLnDvj6h0OliugygntPYLeZRquAybvCPtjxXsO+7XUKXa6 S9tdnzjs51LIz7kcnJ+Afg3aO+vlkHwO1iugxSFPxAXR3znAA+16wmuWGVsV cqB/0f7+/TvvHsfKkA8IqJ5PYD4hwIebOLBXEwlY2n567jkj5JNNBPivkEE+ FdB3MxzS2t4VMThfAZ2X/NPq0Csx0+/H4+w+kwNHJMiXjaggZdvAJd2lyI+N qO3paXNXZUgZ4KUR8l8Zg36IMU2r6dewb7aMAR4Z4+/NGNQPQlrQlLXmq5k5 g/2IcT3mDOoxCd3W7pp5wyVz5N8S+trNfOs6D3MG+VBCgW/JGfRbJHRZUcrv IYlmyG+1fH/yliBhtCkDvYSE9lp938Ij3gT5qIROtD73Z/YfMgZ4KqEzbj67 0nqrFNcrofvK3oz4s0LCwN8kdHZh34xmoyQM+i8S5Pdipq/fTjotE3ffLmaA DxJa8KLXDItYEdpDQr8eejwsLNmIAd5KaIAiLzNZ2sgBH5FQ4Iv1HPSLJFgf 1XHYj6Jna8JWLV9Wg+erfd5ej7+yflZxents2pnR63hMJQfzQAnV80Wof6V0 XYfb7vU7SpEv6uutYvQnKT3Y0Pr20j6FHNQLUpp+4vOZ4GbfOLCflAqWSy+f PZ3LQX2urR/Xn3mlsMnmwB+k1Gln7R3nea8Mn88uXvPvjydpHPSLtL/vH520 ec52DvpD2u93f/x3Xs+bBOZJWhzcM6zFiR0vCOQrbf3L88VsAvlGi4O+CT2S pn5Bvimmxfbc6rmvCgjglZiy5H4Di06XEOjniSjwxQqst4W0vGrrtRcp1Xht TJXu0z6/FdUTyF9a/+bxqQnrfQH9XDWl27WVRpi/G8n04Uuez+wnRD5TR95N /iwPainGfloN9hskyJeqyKuKzvf3n5chv6vA/oQp5q8yQ36C+ColEy6PnWbX QoF8rIQctr+xNkCgxHxZQnh+2aBE/U8JAb6kxnxcSnh+E22J+aIM+kMbNMhX tDz66HHl+FBr5DtVhOdza62x/1JF5mloY0G5NervqgnwWxvsJ1ZDP+mODfY3 q/F+tjgPqCaFqb7/+hy2NfSXkpY2bpe62hmuR17Oummeamf4Ps9ffeyx31hN ZoxsuW/RJXvkt9UE+JQD1eePNh8/Je796oD9sEpytmSoKHmJI/ZfK8k7vl/V DPt35djvaoZ8vIxMVVtNebW1Oe6/hJx3LLBv93sL7KcWEej3OmH/+zvZo5uP THTC880jpxz3kvh3TsivPpLyAxbusW2dkS9mEL4/fsoZ7XOe8P3i5i6Gfvu6 m3GiIctcsH/8ioP5gAvOQz5z/DxgREvkS9+4GxPflZk8b4nfL+bWbLxQuCjW Fc+zjIP5hyvWB5Xc9LV/fuxv1gr74TWc8OWN2z7JrVCfWA/908etkK82Qf/V yw35oYDx85i5bmg/I+YT2H2hS6Yb8glj6M97uGM/W8j08xCol0WMnwcwd6w/ RIy3j8QD/Rf73R08cJ4rZhe2R6Q8WuSB+gUx4+czd37115383QTyRg+s1yQs YOEfZ1+EeBrmi9Bf9jToQ/n50mZPXK+EnWnn1cd+tBeet4Tx+zf3Rv4tYfx8 bJk3xo+Y8fOTYm+c1+N+qA/yMSHj52ezfAzzO77/fNIH+aExazvY76jHax/D fJefB1T6gD5FbsRg3uaL59fAmR8dFjoqwtfQX8/t+mrCRAtfnP+VcQfaND0R Zvgg//rJSb3TSz4s9UH8yOe4Dr3fB7TWz08+gX80eOP+X3N8//uyfn6Tzn1P H32+6V9v9K8b0P9P8Mb6aB/4p9wb42sf4ecrWV7YD71KVo0JyDxx3AvP7w4J eT/204IeXuhvzwi/ntueyLezDPM44NvZEE/a8wO+/5nYH191dbZKf565hJ9n 1Hng/fLIT7fpOafe6Ocp3wl/nj88UD9TSPj2Zwv974ux3++pr5eIl+TB+A4y L/18lPD+vNEL65kSXK+XAQ/49ZV7Yf1dAvM8D2+sb4vJl+kDFycN8kZ8LSIv qrZdP7LJG8/3J9mx+fPEna/09i6A+aGND573NxJ3VtXj9gAfxIsvZNftv5dO TfXBfJJDxq4O69um1Afx+COB8/HF52USfh6zwRfx7DGZFNvz9KFCX5xfnob9 tvdD/LyI+OCH9d4zmM9J/LH+eM+ZzfnQfPXf/ni/PI7Hvyf+lA/Xjz+4QRYj co7YB+A8qoTru+LZTqcuAWiPci573+Fk27kBGB9V3Fte3xyA/lPLyXV6ka8B iM+NHK9XcQjEebkA9AdJgbg/IxYTMnZo/KxA3I8xW5OwxfrjsUCDnkLy6rR9 6LtArJdEjJ+PmwShPcWoDwnCeljCjm9r7H59YBCepxT0A/ODEC+koG84GoT5 SQZ67/Qg9BcZ3K88COdnMpjnWwUj3srYiCspscqwYJy/ynCeH4z3M2H1jYrD Vf8EI16YwH6WB6N+wIS1NVO9nHUwGPsRJoy3581fv+f1EW+D0Z9M2NPO/1zu 6h2C9a2Mva5erjm7IATrVRk76PC3IvhZiGF/oG8INejlb7TgHAcnhmJ8SUBv MC4U5zcS5qfTw2wIxfpbAnqni6E4H5GgniEU1y9hKwqWfvMpDsV6WALvD5Aw A57/fDZALlsShvkPP+fCcJ4mAb1Qfhi+3yBhqmN9lk6QhCN/koI+v3k41udS sGdgOPbfpKCniQ9HPJGyuD/Kp9snhWM8ykDf0ycc+ZeMteq/Y0zhlnDsn5jA /p/q9Tym8D6COALXbwr2j4rAetkM3pcYF4H+JQe9yb4ItK85s5j7dOLmzAjc jzn7M+pnzTyTSOQPCmbmc6NdfqRer6SA9wNGRiKeKcB/1kVifraA/V+PxPxi Afb5Eon9BAvwX3kU5isLWJ9/FPqrBfhD9yiMfwt4v2B8FPb/LBgfzyv0eioL 0M8d+nXNvy9y69f36ZJ/V5dl/boGf4zGfGPBvna7lzZjZjTGowXs91I07k+/ fr1+TAn6IGkM5j8l6GucYpB/KlnQwPtlwpAY1K8qQU+WEIP+qWQPK4cs354U A/2f0UrQD82OQf9Xwvr3xkB+f6VEfVIM4pGKrbKxFEg+xqCeX4V6shjUL6vA H9rEIp6pML5jka+p0T9isV+qxv3EAt9yV7PnvH4nBvFBBe/LLNC/z6NCvVwM 8jMVvF8ij0F8VbHW2Yuvp76JRr2wCvEwGusDFdx/cTTqh1XwPsqoaIM+ko+X 7tGoj1WxSV9Ds5pio0GfsUoF5++H+r51Krbshuh5T+do9Ce0h0005i8VxO/H KOADB1Wsh3nMgPU3onCeq2Ihi7qZvt8TBXzvigrsnRKF/FIF+qohUcgv8Xnx UaAXeK7CeI/CfpIK9I11kdjvwvVk/rpesmHm1emnI1HfrYJ4WBaJegAV6PWG YfzdU4F/xkYiP1OBvk8TCXizQwX+/CMC+slzVaC3ZBGoF1LB+0nrI8DfQ1Sg hxwZge8fqOB9negI6Lc9VILeVB6BenYl6EPfhcP+O6N+9KheL6iEeJkWjvWH Bejb2oZjPlYwh3m1dSeU4ehvCtCXvtHrCc3Bn3eGGd434uNlSBjGpxzs7xKG /ECO7z+FGt5vAn1aKPIDM9D3dQhFfDUD/K8IwXwkh/PZGoJ4JWcZOj1kVIhB z8m/z/Ys2KDH5PPPX8FoTznoGf2Csf+Mek6bYIxPOepdg/G8zdhgHZ5+C0J/ M4PzzwhCPDSD9VwJwnraDPSe+4KwvjPD/KvnC6bwvCl6vZ4p4M/gIMQfU3y/ KwjzgYmBXwD/NWH8+3vNg/A8TAx8BPiLjI1WrRl1sywQ41mGeBOI+UIG938Q iHxCCvY/H4j5UQr4/U+gIb86i1eR6GaBiFciNlf3vlpmAOK9MfCd7QHYzzXC fBWA+UvAzurep+sYYNBb8fnZKwD1FgLQD5sGGPSmJ0ocPEc+9sf9GjG3k1cS N47yR/wxZvx48KUf4peQWfWdu/LJ//yQT4oY8Fc/5Lcixut7TP3QniK8v57P ihnPXxf5or+KWYKp03+To3wN/OHDE+r/7bMP2lPCogYJW6n/09dXUqzvfHB9 Ugb1kjfuR8p4/V2lF/qHDPRWHbzQX2Ww3rmeaF8Z6ss8MR6kjNdHFXrg+qSM r7eu6fVdUqwnPZBfSOH3/T3w+VivenjgeUnAXmXumE+w3r3ujvEuZhaZBZ0S F7oj/xEzvj7s6o7zDhHj6wFrd8yHIgb9CTc8byHj9Xu73JD/Chmvtxvqhv5l jOvR1/dGjO8HfG9l0B/z9duRVshPBaB3G9MKf9/I9VdMXr7XpxXupx6uC1yx /q8F/dZRV8T7ag7qQVeMv0qOr+e8XfV6TY73r+8tsR9Uivqwlnj/Yrge1RL5 YSF836sl5uevcP8fLogXuaBnO+aC8ZXN8XrWcb/0ZouY5cxOwS6432dc6YxF yqFVzvr5EOjdrjkjXzkEeskUZ+xnnCCgV/ulR+P1hxpnPO90AnpcJ6xXXhG+ 3jrkhPd/h3pQJ+T7n6Aebe2E9X0O6SLvJFlu6YTryyNyb7vHuWkt8Dy+En6+ OqYF8vHv0M+zbIF84wfJd90Uvvtac8TLQgLz0eZYzxXB7wscDXor6N85IB8r J4Nywnukb7HHfFwO/b5zdjjPLiej8oa8+VJmi/hZTvj5aHdbrF/LSEld9MEP 92wwH5URa+NrsS49bXBeWEr4eXepNeJVCZm19vDlP2X6eXcBgXmllV5viv08 K+xHZJPtthvk9gf0/crXZPzwascJ2Ta4nwzU59nh8x9D/3SmHeafB0Q5x712 wxe9nu4e2VqoqKR97TFf3IL9PLPH+LtK6jI+2jr20Ov3TkB/9K0D1ovdQB83 2hHn02c40Ls10/dLOOh/NsP5bgbn1q+y5HsH/Xlk4by4Oc6zc7jrabJJR9a1 QH3qN9BjWjthv6qY4/WOvZ0Qf8o5Hi8NescarievB3VCvGvk+H5dqF4faQT9 Mjsn5EtGOK9vgXhozF5X5W0+tb4F6nlRb+DTAvmGkIG/NMd5n4hBP1q/fjHo Dzo1w/6VmMG82BHPT8KgX+1gqNd5+2bYof9LQG+wVq9flDDQI+rn/RJ2RKfP fGpj0Nvy5zncBvmAmIF+0hrxXMxAn6mf74tQv2CN5yfC/Voh3xHCtZUV2k/I esnXfVqzSoP5zhj1DhqcTxuxF7szxzRNsUQ8MGLgr2q0twDtocbzauT6Dtmj aHNchc+v50T/1U+Yba4y6BP4fvdIJeJVFQfzAwvEowquXfBvuzq6K7A/WsrB PFeO+FTEufYd6Jw9ygznBd+4sq6nRAskpli/5XA32om/eu+RYb2UxfX/tGPO nWipoV/o9aZ06OhMMeLBac7P32hNs0kiPM/LBOb1Qv37BETOz7eNsJ+QRebF +rW+MlSA3/9M0u+uVV30bCRQb+cTKtrxtf+WOgLr/UH6Bv9rPsShBtK5cRE5 u/F8wamDlQTiqYQsG36cru9STiBflRKY35QS4IvlZOpp333ijUUE4rmCCP5X 3aZT0g8C/LKSHFzZ4/ACn3zUZ+qvcwjsv4rsyrz1pvrwB5z/VJNdffw2jI3L JDDPrybFyy9kPm6ZTmB+WU2Yjd3u5PU3cT81ZDYfkKm4H+31iTTfnM3HOIjv GiJYZLQieeUtTq/PdXow511tjw+cXu9Lx/zWrrPzDw7sWUUEksgrmr16PWUF 6sWqOPDHcnJ1+qPntjW1HPhbGfn6W8mbzSsaOeCjpUT05vCSmCIB6hVLSP1v Vu1OzTVmMF8uIZ3zjp67JRah/q6UwLxWGyd8/VdKxqxv0bx3mYQBXywj/weK it7J "]], LineBox[{{-29.77881469282041, 5.734}, {-29.808814692820413`, 5.739}, {-29.83981469282041, 5.744}, {-29.869814692820412`, 5.746}, {-29.889814692820416`, 5.743}, {-29.745814692820417`, 5.656}, {-29.554814692820415`, 5.575}, {-29.511814692820415`, 5.557}, {-29.45281469282041, 5.534}, {-29.372814692820413`, 5.503}, {-29.26381469282041, 5.461}, {-29.111814692820417`, 5.406}, {-28.95281469282041, 5.352}, {-28.905814692820414`, 5.337}, {-28.844814692820414`, 5.318}, {-28.764814692820416`, 5.294}, {-28.65981469282041, 5.263}, {-28.520814692820416`, 5.227}, {-28.337814692820416`, 5.184}, {-28.107814692820412`, 5.14}, {-28.06281469282041, 5.133}, {-28.00481469282041, 5.124}, {-27.929814692820415`, 5.114}, {-27.832814692820413`, 5.102}, {-27.706814692820416`, 5.09}, {-27.544814692820417`, 5.078}, {-27.332814692820413`, 5.07}, {-27.088814692820414`, 5.068}, {-27.042814692820414`, 5.069}, {-26.984814692820414`, 5.07}, {-26.90981469282041, 5.071}, {-26.81281469282041, 5.074}, {-26.68781469282041, 5.078}, {-26.527814692820414`, 5.084}, {-26.322814692820415`, 5.092}, {-26.014814692820416`, 5.1}, {-25.975814692820414`, 5.101}, {-25.924814692820412`, 5.101}, {-25.859814692820414`, 5.102}, {-25.77581469282041, 5.101}, {-25.669814692820413`, 5.1}, {-25.531814692820415`, 5.096}, {-25.356814692820414`, 5.086}, {-25.130814692820415`, 5.067}, {-24.887814692820413`, 5.038}, {-24.843814692820413`, 5.031}, {-24.787814692820415`, 5.022}, {-24.714814692820415`, 5.01}, {-24.619814692820412`, 4.993}, {-24.497814692820413`, 4.969}, {-24.337814692820412`, 4.935}, {-24.125814692820413`, 4.883}, {-23.840814692820413`, 4.805}, {-23.672814692820413`, 4.756}, {-23.623814692820414`, 4.742}, {-23.559814692820414`, 4.722}, {-23.475814692820414`, 4.697}, {-23.365814692820415`, 4.663}, {-23.218814692820413`, 4.619}, {-23.021814692820413`, 4.559}, {-22.749814692820415`, 4.482}, {-22.366814692820412`, 4.389}, {-22.274814692820414`, 4.37}, {-22.174814692820412`, 4.351}, {-22.005814692820415`, 4.324}, {-21.956814692820412`, 4.317}, {-21.891814692820414`, 4.308}, {-21.806814692820414`, 4.299}, {-21.693814692820414`, 4.288}, {-21.543814692820416`, 4.278}, {-21.340814692820413`, 4.271}, {-21.061814692820413`, 4.273}, {-20.666814692820413`, 4.292}, {-20.571814692820414`, 4.298}, {-20.468814692820413`, 4.305}, {-20.358814692820413`, 4.313}, {-20.238814692820412`, 4.321}, {-20.108814692820413`, 4.329}, {-19.967814692820415`, 4.337}, {-19.813814692820415`, 4.343}, {-19.646814692820413`, 4.345}, {-19.462814692820412`, 4.344}, {-19.262814692820413`, 4.334}, {-19.042814692820414`, 4.315}, {-18.747814692820413`, 4.27}, {-18.707814692820413`, 4.263}, {-18.656814692820415`, 4.253}, {-18.590814692820413`, 4.239}, {-18.504814692820414`, 4.219}, {-18.392814692820412`, 4.19}, {-18.246814692820415`, 4.148}, {-18.053814692820414`, 4.085}, {-17.799814692820412`, 3.992}, {-17.462814692820412`, 3.851}, {-17.271814692820413`, 3.764}, {-17.184814692820414`, 3.724}, {-17.091814692820414`, 3.681}, {-16.993814692820415`, 3.635}, {-16.889814692820412`, 3.586}, {-16.780814692820414`, 3.535}, {-16.664814692820414`, 3.482}, {-16.541814692820413`, 3.427}, {-16.412814692820415`, 3.37}, {-16.274814692820414`, 3.313}, {-16.128814692820413`, 3.257}, {-15.973814692820415`, 3.201}, {-15.809814692820414`, 3.149}, {-15.633814692820415`, 3.102}, {-15.445814692820413`, 3.061}, {-15.242814692820414`, 3.029}, {-15.023814692820412`, 3.008}, {-14.785814692820413`, 3.}, {-14.525814692820415`, 3.005}, {-14.237814692820415`, 3.024}, {-13.915814692820415`, 3.051}, {-13.553814692820414`, 3.078}, {-13.142814692820412`, 3.087}, {-12.932814692820415`, 3.077}, {-12.838814692820414`, 3.07}, {-12.743814692820415`, 3.059}, {-12.645814692820412`, 3.045}, {-12.544814692820413`, 3.029}, {-12.441814692820415`, 3.008}, {-12.335814692820414`, 2.983}, {-12.229814692820415`, 2.955}, {-12.117814692820414`, 2.921}, {-12.004814692820414`, 2.883}, {-11.889814692820412`, 2.84}, {-11.772814692820415`, 2.792}, {-11.652814692820414`, 2.739}, {-11.531814692820415`, 2.681}, {-11.406814692820415`, 2.617}, {-11.281814692820415`, 2.549}, {-11.154814692820413`, 2.476}, {-11.026814692820412`, 2.399}, {-10.883814692820415`, 2.31}, {-10.842814692820415`, 2.284}, {-10.790814692820415`, 2.25}, {-10.724814692820413`, 2.207}, {-10.638814692820414`, 2.15}, {-10.529814692820413`, 2.077}, {-10.389814692820412`, 1.983}, {-10.211814692820415`, 1.864}, {-9.985814692820412, 1.716}, {-9.701814692820413, 1.542}, {-9.344814692820414, 1.357}, {-9.149814692820414, 1.279}, {-9.062814692820414, 1.25}, {-8.969814692820414, 1.224}, {-8.872814692820414, 1.202}, {-8.771814692820413, 1.184}, {-8.663814692820413, 1.172}, {-8.549814692820414, 1.167}, {-8.427814692820414, 1.17}, {-8.296814692820414, 1.182}, {-8.155814692820414, 1.204}, {-8.001814692820414, 1.238}, {-7.831814692820414, 1.283}, {-7.6418146928204145`, 1.34}, {-7.426814692820415, 1.408}, {-7.1788146928204135`, 1.481}, {-6.888814692820414, 1.551}, {-6.543814692820414, 1.599}, {-6.126814692820414, 1.592}, {-6.033814692820414, 1.58}, {-5.937814692820414, 1.563}, {-5.836814692820413, 1.541}, {-5.732814692820414, 1.513}, {-5.623814692820414, 1.479}, {-5.511814692820414, 1.437}, {-5.394814692820415, 1.388}, {-5.273814692820414, 1.33}, {-5.147814692820413, 1.264}, {-5.017814692820414, 1.188}, {-4.882814692820414, 1.103}, {-4.743814692820413, 1.007}, {-4.600814692820414, 0.9}, {-4.453814692820414, 0.784}, {-4.302814692820414, 0.657}, {-4.147814692820413, 0.52}, {-3.9898146928204135`, 0.374}, {-3.828814692820414, 0.219}, {-3.6658146928204136`, 0.057}, {-3.4998146928204132`, -0.11}, {-3.3328146928204134`, -0.283}, \ {-3.164814692820414, -0.458}, {-2.9958146928204137`, -0.635}, \ {-2.8278146928204144`, -0.811}, {-2.6598146928204134`, -0.985}, \ {-2.493814692820413, -1.155}, {-2.3298146928204133`, -1.319}, \ {-2.1678146928204143`, -1.476}, {-2.007814692820414, -1.626}, \ {-1.8518146928204136`, -1.766}, {-1.698814692820414, -1.897}, \ {-1.5538146928204135`, -2.016}, {-1.408814692820414, -2.127}, \ {-1.2688146928204134`, -2.227}, {-1.1328146928204141`, -2.318}, \ {-1.0008146928204136`, -2.398}, {-0.8738146928204138, -2.47}, \ {-0.7518146928204139, -2.532}, {-0.6338146928204136, -2.586}, \ {-0.5188146928204134, -2.632}, {-0.4098146928204134, -2.671}, \ {-0.3058146928204142, -2.703}, {-0.20581469282041365`, -2.729}, \ {-0.10981469282041356`, -2.749}, {-0.01881469282041337, -2.764}, { 0.2871853071795858, -2.786}, {0.6301853071795867, -2.755}, { 0.9031853071795863, -2.684}, {1.120185307179586, -2.594}, { 1.2911853071795862`, -2.495}, {1.4251853071795866`, -2.394}, { 1.527185307179586, -2.292}, {1.6051853071795863`, -2.192}, { 1.660185307179586, -2.093}, {1.697185307179586, -1.996}, { 1.7191853071795862`, -1.902}, {1.7281853071795865`, -1.81}, { 1.7251853071795864`, -1.721}, {1.684185307179586, -1.525}, { 1.6711853071795861`, -1.489}, {1.6541853071795867`, -1.446}, { 1.631185307179586, -1.394}, {1.599185307179586, -1.333}, { 1.556185307179586, -1.264}, {1.5011853071795862`, -1.187}, { 1.4331853071795866`, -1.107}, {1.3521853071795862`, -1.029}, { 1.2621853071795863`, -0.962}, {1.0551853071795865`, -0.912}, { 1.0411853071795862`, -0.931}, {1.0811853071795863`, -1.09}, { 1.160185307179586, -1.242}, {1.181185307179586, -1.284}, { 1.256185307179586, -1.446}, {1.2711853071795867`, -1.483}, { 1.2881853071795861`, -1.532}, {1.3311853071795863`, -1.703}, { 1.3371853071795865`, -1.748}, {1.341185307179586, -1.806}, { 1.3401853071795866`, -1.88}, {1.3291853071795865`, -1.97}, { 1.2961853071795861`, -2.085}, {1.2151853071795866`, -2.236}, { 1.0151853071795864`, -2.435}, {0.7551853071795867, -2.578}, { 0.5891853071795863, -2.635}, {0.5451853071795858, -2.646}, { 0.4851853071795862, -2.659}, {0.3181853071795864, -2.683}, { 0.26518530717958644`, -2.687}, { 0.19318530717958637`, -2.69}, {-0.015814692820414145`, -2.681}, \ {-0.060814692820414074`, -2.676}, {-0.11981469282041335`, -2.668}, \ {-0.20081469282041375`, -2.654}, {-0.30981469282041374`, -2.63}, \ {-0.5388146928204138, -2.559}, {-0.5778146928204135, -2.545}, \ {-0.6308146928204135, -2.524}, {-0.6998146928204134, -2.495}, \ {-0.791814692820414, -2.453}, {-0.916814692820414, -2.39}, \ {-1.0868146928204139`, -2.293}, {-1.3498146928204138`, -2.119}, \ {-1.3838146928204136`, -2.095}, {-1.427814692820414, -2.064}, \ {-1.4848146928204136`, -2.021}, {-1.5588146928204134`, -1.963}, \ {-1.6578146928204136`, -1.885}, {-1.788814692820413, -1.776}, \ {-1.9628146928204142`, -1.623}, {-2.196814692820414, -1.405}, \ {-2.4188146928204137`, -1.188}, {-2.4868146928204133`, -1.121}, \ {-2.6038146928204142`, -1.002}, {-2.637814692820413, -0.967}, \ {-2.680814692820414, -0.923}, {-2.7368146928204133`, -0.865}, \ {-2.8098146928204137`, -0.789}, {-2.903814692820413, -0.691}, \ {-3.025814692820413, -0.563}, {-3.1848146928204137`, -0.397}, \ {-3.3908146928204133`, -0.183}, {-3.6578146928204145`, 0.09}, {-3.805814692820414, 0.238}, {-3.8728146928204144`, 0.303}, {-3.943814692820414, 0.371}, {-4.0168146928204145`, 0.441}, {-4.093814692820414, 0.512}, {-4.231814692820414, 0.637}, {-4.263814692820414, 0.665}, {-4.3038146928204135`, 0.701}, {-4.355814692820413, 0.746}, {-4.422814692820413, 0.801}, {-4.507814692820414, 0.871}, {-4.6148146928204135`, 0.956}, {-4.751814692820414, 1.058}, {-4.9238146928204145`, 1.177}, {-5.137814692820413, 1.309}, {-5.402814692820414, 1.445}, {-5.722814692820414, 1.569}, {-5.887814692820413, 1.615}, {-5.933814692820414, 1.625}, {-5.991814692820414, 1.637}, {-6.0648146928204145`, 1.65}, {-6.155814692820414, 1.663}, {-6.269814692820415, 1.674}, {-6.410814692820415, 1.68}, {-6.583814692820415, 1.677}, {-6.790814692820414, 1.658}, {-7.092814692820413, 1.607}, {-7.1308146928204135`, 1.598}, {-7.180814692820414, 1.588}, {-7.242814692820414, 1.573}, {-7.3198146928204135`, 1.555}, {-7.416814692820413, 1.531}, {-7.535814692820415, 1.501}, {-7.682814692820413, 1.464}, {-7.861814692820413, 1.423}, {-8.028814692820413, 1.391}, {-8.074814692820414, 1.383}, {-8.132814692820414, 1.375}, {-8.206814692820414, 1.366}, {-8.300814692820413, 1.358}, {-8.417814692820414, 1.354}, {-8.566814692820413, 1.359}, {-8.779814692820414, 1.387}, {-8.822814692820414, 1.396}, {-8.878814692820415, 1.409}, {-8.950814692820414, 1.428}, {-9.043814692820414, 1.456}, {-9.161814692820414, 1.499}, {-9.315814692820414, 1.564}, {-9.513814692820414, 1.664}, {-9.553814692820414, 1.685}, {-9.604814692820414, 1.714}, {-9.669814692820413, 1.751}, {-9.754814692820414, 1.802}, {-9.863814692820412, 1.871}, {-10.005814692820415`, 1.963}, {-10.189814692820413`, 2.087}, {-10.324814692820414`, 2.181}, {-10.363814692820412`, 2.208}, {-10.412814692820415`, 2.243}, {-10.476814692820415`, 2.287}, {-10.558814692820413`, 2.345}, {-10.664814692820414`, 2.418}, {-10.800814692820413`, 2.512}, {-10.974814692820413`, 2.629}, {-11.198814692820413`, 2.773}, {-11.481814692820414`, 2.942}, {-11.835814692820414`, 3.128}, {-12.025814692820415`, 3.215}, {-12.109814692820414`, 3.25}, {-12.196814692820414`, 3.285}, {-12.286814692820414`, 3.319}, {-12.379814692820414`, 3.352}, {-12.669814692820413`, 3.443}, {-12.831814692820412`, 3.486}, {-12.994814692820412`, 3.526}, {-13.158814692820414`, 3.562}, {-13.317814692820413`, 3.598}, {-13.480814692820413`, 3.636}, {-13.746814692820415`, 3.72}, {-13.817814692820413`, 3.901}, {-13.660814692820413`, 3.978}, {-13.482814692820412`, 4.028}, {-13.426814692820415`, 4.04}, {-13.347814692820414`, 4.054}, {-13.230814692820413`, 4.071}, {-13.057814692820415`, 4.086}, {-13.001814692820414`, 4.089}, {-12.926814692820415`, 4.092}, {-12.822814692820415`, 4.092}, {-12.674814692820412`, 4.087}, {-12.459814692820412`, 4.068}, {-12.212814692820412`, 4.029}, {-12.166814692820413`, 4.02}, {-12.105814692820413`, 4.007}, {-12.024814692820414`, 3.988}, {-11.915814692820415`, 3.961}, {-11.768814692820413`, 3.918}, {-11.564814692820413`, 3.851}, {-11.278814692820415`, 3.743}, {-10.991814692820412`, 3.623}, {-10.901814692820412`, 3.583}, {-10.804814692820415`, 3.54}, {-10.700814692820416`, 3.493}, {-10.587814692820412`, 3.443}, {-10.400814692820415`, 3.36}, {-10.357814692820412`, 3.341}, {-10.301814692820415`, 3.317}, {-10.228814692820414`, 3.286}, {-10.132814692820414`, 3.246}, {-10.006814692820413`, 3.196}, {-9.838814692820414, 3.133}, {-9.611814692820413, 3.059}, {-9.298814692820415, 2.979}, {-8.990814692820413, 2.929}, {-8.894814692820415, 2.919}, {-8.790814692820414, 2.911}, {-8.678814692820414, 2.906}, {-8.555814692820414, 2.905}, {-8.422814692820413, 2.908}, {-8.276814692820414, 2.915}, {-8.115814692820413, 2.926}, {-7.936814692820414, 2.943}, {-7.737814692820415, 2.964}, {-7.515814692820413, 2.987}, {-7.263814692820414, 3.009}, {-6.978814692820414, 3.023}, {-6.651814692820414, 3.018}, {-6.277814692820414, 2.976}, {-5.8598146928204145`, 2.877}, {-5.8198146928204135`, 2.865}, {-5.767814692820414, 2.848}, {-5.699814692820414, 2.824}, {-5.611814692820413, 2.792}, {-5.496814692820413, 2.746}, {-5.345814692820413, 2.679}, {-5.148814692820414, 2.582}, {-4.888814692820414, 2.438}, {-4.546814692820414, 2.228}, {-4.468814692820414, 2.178}, {-4.387814692820413, 2.124}, {-4.301814692820415, 2.067}, {-4.2108146928204135`, 2.007}, {-4.116814692820414, 1.943}, {-4.0168146928204145`, 1.876}, {-3.911814692820414, 1.806}, {-3.8018146928204146`, 1.733}, {-3.685814692820413, 1.658}, {-3.5648146928204145`, 1.582}, {-3.437814692820414, 1.505}, {-3.3038146928204135`, 1.43}, {-3.163814692820413, 1.357}, {-3.0168146928204145`, 1.289}, {-2.8618146928204133`, 1.229}, {-2.6978146928204136`, 1.178}, {-2.522814692820413, 1.142}, {-2.3358146928204135`, 1.123}, {-2.131814692820413, 1.126}, {-1.9058146928204138`, 1.155}, {-1.6498146928204136`, 1.216}, {-1.347814692820414, 1.309}, {-0.980814692820414, 1.427}, {-0.7778146928204137, 1.485}, {-0.682814692820414, 1.508}, {-0.5838146928204138, 1.53}, {-0.4778146928204139, 1.55}, {-0.3668146928204141, 1.566}, {-0.24781469282041346`, 1.578}, {-0.12281469282041346`, 1.584}, {0.01118530717958599, 1.583}, { 0.15318530717958634`, 1.574}, {0.30418530717958614`, 1.553}, { 0.46618530717958606`, 1.519}, {0.6371853071795863, 1.47}, { 0.8191853071795858, 1.402}, {1.0131853071795867`, 1.314}, { 1.2191853071795862`, 1.202}, {1.4351853071795864`, 1.065}, { 1.6641853071795865`, 0.901}, {1.9031853071795863`, 0.71}, { 2.1531853071795863`, 0.492}, {2.4111853071795863`, 0.249}, { 2.676185307179586, -0.014}, {2.9471853071795864`, -0.292}, { 3.2211853071795864`, -0.578}, {3.4951853071795864`, -0.865}, { 3.768185307179586, -1.145}, {4.036185307179586, -1.413}, { 4.298185307179586, -1.66}, {4.552185307179586, -1.885}, { 4.7971853071795865`, -2.083}, {5.030185307179586, -2.254}, { 5.2521853071795865`, -2.398}, {5.463185307179586, -2.516}, { 5.661185307179586, -2.61}, {5.848185307179587, -2.684}, { 6.0231853071795864`, -2.738}, {6.186185307179586, -2.776}, { 6.339185307179586, -2.801}, {6.482185307179586, -2.814}, { 6.616185307179586, -2.818}, {6.740185307179586, -2.813}, { 6.856185307179587, -2.802}, {6.964185307179586, -2.786}, { 7.065185307179586, -2.766}, {7.158185307179586, -2.743}, { 7.453185307179586, -2.638}, {7.747185307179587, -2.473}, { 7.949185307179587, -2.302}, {8.083185307179587, -2.132}, { 8.162185307179586, -1.964}, {8.199185307179587, -1.797}, { 8.202185307179587, -1.632}, {8.176185307179587, -1.468}, { 8.127185307179586, -1.307}, {8.039185307179586, -1.113}, { 8.018185307179586, -1.074}, {7.991185307179586, -1.026}, { 7.9541853071795865`, -0.967}, {7.905185307179586, -0.893}, { 7.840185307179587, -0.804}, {7.753185307179586, -0.697}, { 7.640185307179586, -0.575}, {7.4941853071795865`, -0.438}, { 7.310185307179586, -0.295}, {7.086185307179586, -0.157}, { 6.823185307179586, -0.04}, {6.525185307179586, 0.044}, { 6.171185307179586, 0.094}, {6.133185307179586, 0.097}, { 6.086185307179586, 0.101}, {6.027185307179586, 0.105}, { 5.9541853071795865`, 0.11}, {5.866185307179586, 0.116}, { 5.7601853071795865`, 0.124}, {5.636185307179586, 0.137}, { 5.493185307179586, 0.16}, {5.336185307179586, 0.201}, { 5.1801853071795865`, 0.273}, {5.144185307179586, 0.297}, { 5.102185307179586, 0.33}, {5.058185307179587, 0.376}, { 5.017185307179586, 0.441}, {4.9941853071795865`, 0.531}, { 5.016185307179587, 0.663}, {5.054185307179586, 0.735}, { 5.058185307179587, 0.742}, {5.238185307179586, 0.939}, { 5.485185307179586, 1.113}, {5.776185307179587, 1.253}, { 6.089185307179586, 1.344}, {6.4061853071795865`, 1.378}, { 6.708185307179586, 1.357}, {6.9861853071795865`, 1.295}, { 7.230185307179586, 1.207}, {7.439185307179586, 1.108}, { 7.614185307179586, 1.01}, {7.758185307179586, 0.919}, { 7.875185307179587, 0.84}, {7.968185307179587, 0.772}, { 8.043185307179586, 0.716}, {8.102185307179585, 0.67}, { 8.148185307179586, 0.633}, {8.185185307179585, 0.603}, { 8.316185307179586, 0.493}, {8.391185307179587, 0.428}, { 8.467185307179587, 0.361}, {8.543185307179586, 0.292}, { 8.619185307179587, 0.221}, {8.695185307179585, 0.149}, { 8.772185307179587, 0.075}, {8.849185307179585, 0}, { 8.926185307179587, -0.076}, {9.003185307179587, -0.154}, { 9.080185307179587, -0.232}, {9.157185307179587, -0.31}, { 9.233185307179586, -0.389}, {9.310185307179587, -0.469}, { 9.386185307179586, -0.548}, {9.462185307179587, -0.628}, { 9.538185307179585, -0.707}, {9.613185307179586, -0.786}, { 9.688185307179586, -0.864}, {9.763185307179587, -0.942}, { 9.836185307179587, -1.018}, {9.909185307179586, -1.094}, { 9.982185307179586, -1.169}, {10.053185307179586`, -1.242}, { 10.125185307179587`, -1.314}, {10.195185307179585`, -1.385}, { 10.265185307179586`, -1.454}, {10.333185307179587`, -1.521}, { 10.401185307179587`, -1.587}, {10.468185307179585`, -1.651}, { 10.621185307179587`, -1.795}, {10.933185307179587`, -2.068}, { 11.220185307179587`, -2.294}, {11.483185307179586`, -2.477}, { 11.722185307179586`, -2.622}, {11.938185307179587`, -2.734}, { 12.135185307179587`, -2.819}, {12.312185307179586`, -2.882}, { 12.473185307179588`, -2.928}, {12.619185307179587`, -2.96}, { 12.751185307179586`, -2.982}, {12.872185307179587`, -2.995}, { 12.981185307179587`, -3.003}, {13.081185307179586`, -3.006}, { 13.389185307179586`, -2.991}, {13.680185307179586`, -2.948}, { 13.878185307179585`, -2.903}, {14.017185307179586`, -2.865}, { 14.116185307179586`, -2.835}, {14.190185307179586`, -2.811}, { 14.244185307179587`, -2.792}, {14.284185307179586`, -2.778}, { 14.485185307179586`, -2.7}, {14.683185307179587`, -2.614}, { 14.958185307179587`, -2.472}, {15.116185307179586`, -2.372}, { 15.213185307179586`, -2.3}, {15.276185307179587`, -2.245}, { 15.318185307179586`, -2.204}, {15.428185307179586`, -2.064}, { 15.488185307179586`, -1.945}, {15.516185307179587`, -1.855}, { 15.529185307179587`, -1.786}, {15.534185307179586`, -1.734}, { 15.535185307179587`, -1.693}, {15.518185307179586`, -1.485}, { 15.501185307179586`, -1.402}, {15.485185307179586`, -1.339}, { 15.471185307179587`, -1.292}, {15.417185307179587`, -1.135}, { 15.386185307179586`, -1.056}, {15.361185307179586`, -0.998}, { 15.342185307179586`, -0.954}, {15.262185307179585`, -0.79}, { 15.234185307179587`, -0.736}, {15.213185307179586`, -0.696}, { 15.124185307179586`, -0.546}, {15.097185307179586`, -0.503}, { 15.075185307179586`, -0.47}, {14.969185307179586`, -0.327}, { 14.941185307179586`, -0.291}, {14.828185307179586`, -0.162}, { 14.791185307179585`, -0.122}, {14.761185307179586`, -0.09}, { 14.643185307179586`, 0.026}, {14.603185307179587`, 0.064}, { 14.570185307179587`, 0.094}, {14.433185307179587`, 0.212}, { 14.397185307179587`, 0.243}, {14.262185307179585`, 0.349}, { 14.228185307179587`, 0.376}, {14.002185307179587`, 0.558}, { 14.007185307179586`, 0.607}, {14.030185307179586`, 0.603}, { 14.209185307179586`, 0.531}, {14.303185307179586`, 0.478}, { 14.391185307179587`, 0.423}, {14.469185307179586`, 0.37}, { 14.537185307179586`, 0.321}, {14.594185307179586`, 0.279}, { 14.642185307179586`, 0.242}, {14.680185307179586`, 0.212}, { 14.712185307179587`, 0.187}, {14.923185307179587`, 0.009}, { 15.188185307179586`, -0.234}, {15.430185307179586`, -0.468}, { 15.641185307179587`, -0.68}, {15.820185307179587`, -0.862}, { 15.969185307179586`, -1.014}, {16.09018530717959, -1.139}, { 16.188185307179587`, -1.238}, {16.266185307179587`, -1.318}, { 16.327185307179587`, -1.38}, {16.376185307179586`, -1.429}, { 16.415185307179584`, -1.468}, {16.445185307179585`, -1.498}, { 16.59318530717959, -1.644}, {16.710185307179586`, -1.757}, { 16.824185307179587`, -1.865}, {16.935185307179587`, -1.967}, { 17.042185307179587`, -2.063}, {17.145185307179588`, -2.153}, { 17.244185307179585`, -2.237}, {17.339185307179584`, -2.315}, { 17.431185307179586`, -2.388}, {17.518185307179586`, -2.455}, { 17.60218530717959, -2.517}, {17.682185307179587`, -2.573}, { 17.858185307179586`, -2.691}, {18.177185307179585`, -2.874}, { 18.422185307179586`, -2.99}, {18.609185307179587`, -3.063}, { 18.753185307179585`, -3.11}, {18.864185307179586`, -3.141}, { 18.949185307179587`, -3.161}, {19.014185307179588`, -3.175}, { 19.065185307179586`, -3.185}, {19.240185307179587`, -3.212}, { 19.357185307179584`, -3.224}, {19.467185307179584`, -3.231}, { 19.569185307179588`, -3.235}, {19.664185307179586`, -3.236}, { 20.064185307179585`, -3.214}, {20.348185307179584`, -3.18}, { 20.555185307179585`, -3.15}, {20.707185307179586`, -3.126}, { 20.820185307179585`, -3.108}, {20.906185307179584`, -3.095}, { 20.97118530717959, -3.085}, {21.020185307179588`, -3.078}, { 21.188185307179587`, -3.055}, {21.493185307179587`, -3.024}, { 21.709185307179588`, -3.013}, {21.867185307179586`, -3.013}, { 21.985185307179584`, -3.018}, {22.074185307179587`, -3.024}, { 22.142185307179588`, -3.03}, {22.193185307179586`, -3.036}, { 22.233185307179586`, -3.042}, {22.517185307179588`, -3.094}, { 22.691185307179587`, -3.139}, {22.822185307179588`, -3.18}, { 22.923185307179587`, -3.214}, {23.002185307179587`, -3.243}, { 23.062185307179586`, -3.266}, {23.109185307179587`, -3.285}, { 23.145185307179585`, -3.3}, {23.402185307179586`, -3.412}, { 23.560185307179587`, -3.485}, {23.682185307179587`, -3.543}, { 23.777185307179586`, -3.588}, {23.851185307179588`, -3.624}, { 23.909185307179587`, -3.651}, {23.953185307179588`, -3.672}, { 24.108185307179586`, -3.745}, {24.279185307179585`, -3.824}, { 24.408185307179586`, -3.881}, {24.506185307179585`, -3.922}, { 24.580185307179587`, -3.953}, {24.635185307179587`, -3.975}, { 24.677185307179585`, -3.992}, {24.862185307179587`, -4.064}, { 24.965185307179585`, -4.103}, {25.034185307179587`, -4.13}, { 25.177185307179585`, -4.208}, {25.166185307179585`, -4.223}, { 25.135185307179587`, -4.231}, {25.096185307179585`, -4.235}, { 25.056185307179586`, -4.235}, {25.019185307179587`, -4.235}, { 24.986185307179586`, -4.233}, {24.700185307179588`, -4.198}, { 24.490185307179587`, -4.156}, {24.291185307179585`, -4.106}, { 24.112185307179587`, -4.056}, {23.956185307179584`, -4.008}, { 23.823185307179585`, -3.965}, {23.713185307179586`, -3.928}, { 23.622185307179585`, -3.898}, {23.549185307179584`, -3.873}, { 23.490185307179587`, -3.852}, {23.443185307179586`, -3.836}, { 23.405185307179586`, -3.824}, {23.187185307179586`, -3.75}, { 23.066185307179587`, -3.71}, {22.944185307179588`, -3.672}, { 22.821185307179586`, -3.636}, {22.699185307179587`, -3.602}, { 22.576185307179585`, -3.57}, {22.453185307179588`, -3.541}, { 22.329185307179586`, -3.516}, {22.206185307179588`, -3.494}, { 22.083185307179587`, -3.476}, {21.959185307179588`, -3.461}, { 21.836185307179587`, -3.45}, {21.713185307179586`, -3.442}, { 21.591185307179586`, -3.438}, {21.469185307179586`, -3.437}, { 21.347185307179586`, -3.439}, {21.226185307179584`, -3.444}, { 21.106185307179587`, -3.45}, {20.986185307179586`, -3.458}, { 20.868185307179587`, -3.468}, {20.751185307179586`, -3.478}, { 20.635185307179587`, -3.488}, {20.521185307179586`, -3.498}, { 20.409185307179584`, -3.508}, {20.298185307179587`, -3.517}, { 20.190185307179586`, -3.524}, {20.084185307179588`, -3.53}, { 19.980185307179585`, -3.535}, {19.879185307179586`, -3.537}, { 19.781185307179584`, -3.537}, {19.686185307179585`, -3.536}, { 19.59318530717959, -3.533}, {19.384185307179585`, -3.517}, { 18.991185307179585`, -3.454}, {18.676185307179587`, -3.367}, { 18.429185307179587`, -3.276}, {18.237185307179587`, -3.192}, { 18.09018530717959, -3.118}, {17.97718530717959, -3.057}, { 17.890185307179586`, -3.008}, {17.823185307179585`, -2.968}, { 17.771185307179586`, -2.937}, {17.731185307179587`, -2.912}, { 17.568185307179586`, -2.807}, {17.492185307179586`, -2.755}, { 17.144185307179587`, -2.508}, {16.859185307179587`, -2.3}, { 16.632185307179586`, -2.142}, {16.454185307179586`, -2.038}, { 16.316185307179587`, -1.983}, {16.206185307179588`, -1.97}, { 16.114185307179586`, -1.992}, {16.027185307179586`, -2.039}, { 15.934185307179586`, -2.107}, {15.825185307179586`, -2.19}, { 15.684185307179586`, -2.284}, {15.496185307179585`, -2.39}, { 15.240185307179587`, -2.51}, {14.886185307179586`, -2.654}, { 14.800185307179586`, -2.686}, {14.709185307179586`, -2.72}, { 14.610185307179586`, -2.755}, {14.504185307179586`, -2.791}, { 14.390185307179586`, -2.828}, {14.267185307179586`, -2.866}, { 14.135185307179587`, -2.903}, {13.992185307179586`, -2.94}, { 13.837185307179587`, -2.975}, {13.670185307179587`, -3.006}, { 13.489185307179586`, -3.031}, {13.293185307179586`, -3.046}, { 13.081185307179586`, -3.048}, {12.852185307179585`, -3.032}, { 12.604185307179586`, -2.992}, {12.338185307179586`, -2.922}, { 12.053185307179586`, -2.815}, {11.750185307179585`, -2.665}, { 11.430185307179586`, -2.469}, {11.096185307179585`, -2.224}, { 10.844185307179586`, -2.017}, {10.775185307179587`, -1.956}, { 10.705185307179587`, -1.895}, {10.635185307179587`, -1.831}, { 10.565185307179586`, -1.767}, {10.495185307179586`, -1.701}, { 10.425185307179586`, -1.634}, {10.355185307179585`, -1.566}, { 10.285185307179585`, -1.497}, {10.214185307179587`, -1.428}, { 10.144185307179587`, -1.357}, {10.074185307179587`, -1.286}, { 10.004185307179586`, -1.215}, {9.935185307179587, -1.143}, { 9.865185307179587, -1.072}, {9.796185307179586, -1.}, { 9.727185307179585, -0.928}, {9.659185307179586, -0.857}, { 9.590185307179587, -0.785}, {9.523185307179586, -0.715}, { 9.455185307179587, -0.644}, {9.389185307179586, -0.575}, { 9.322185307179586, -0.506}, {9.257185307179586, -0.438}, { 9.192185307179585, -0.371}, {9.127185307179586, -0.305}, { 8.979185307179586, -0.155}, {8.674185307179586, 0.142}, { 8.389185307179586, 0.402}, {8.123185307179586, 0.623}, { 7.878185307179586, 0.805}, {7.653185307179586, 0.952}, { 7.447185307179586, 1.067}, {7.259185307179586, 1.154}, { 7.0871853071795865`, 1.219}, {6.931185307179586, 1.264}, { 6.7891853071795865`, 1.293}, {6.659185307179587, 1.31}, { 6.541185307179586, 1.317}, {6.432185307179586, 1.315}, { 6.334185307179586, 1.308}, {5.951185307179586, 1.216}, { 5.7041853071795865`, 1.095}, {5.545185307179587, 0.976}, { 5.4461853071795865`, 0.869}, {5.3611853071795865`, 0.663}, { 5.5471853071795865`, 0.396}, {5.942185307179586, 0.271}, { 6.0311853071795865`, 0.255}, {6.122185307179587, 0.238}, { 6.216185307179586, 0.221}, {6.311185307179586, 0.202}, { 6.409185307179587, 0.181}, {6.508185307179586, 0.156}, { 6.609185307179586, 0.128}, {6.710185307179586, 0.094}, { 6.812185307179586, 0.056}, {6.915185307179586, 0.012}, { 7.017185307179586, -0.038}, {7.118185307179586, -0.094}, { 7.219185307179586, -0.157}, {7.318185307179586, -0.225}, { 7.415185307179586, -0.299}, {7.509185307179586, -0.379}, { 7.600185307179586, -0.463}, {7.6881853071795865`, -0.552}, { 7.770185307179586, -0.645}, {7.848185307179586, -0.741}, { 7.921185307179586, -0.839}, {7.987185307179586, -0.939}, { 8.047185307179586, -1.04}, {8.099185307179587, -1.142}, { 8.145185307179586, -1.243}, {8.182185307179587, -1.345}, { 8.210185307179586, -1.445}, {8.230185307179585, -1.544}, { 8.240185307179587, -1.642}, {8.240185307179587, -1.738}, { 8.229185307179586, -1.833}, {8.208185307179587, -1.926}, { 8.175185307179586, -2.017}, {8.129185307179586, -2.107}, { 8.071185307179586, -2.195}, {7.999185307179586, -2.282}, { 7.912185307179586, -2.366}, {7.809185307179586, -2.449}, { 7.689185307179586, -2.529}, {7.550185307179586, -2.605}, { 7.391185307179587, -2.676}, {7.210185307179586, -2.738}, { 7.005185307179586, -2.787}, {6.774185307179586, -2.818}, { 6.515185307179586, -2.822}, {6.227185307179586, -2.789}, { 5.908185307179586, -2.708}, {5.558185307179587, -2.567}, { 5.284185307179587, -2.42}, {5.207185307179586, -2.374}, { 5.130185307179586, -2.324}, {5.051185307179586, -2.271}, { 4.972185307179586, -2.216}, {4.891185307179587, -2.158}, { 4.810185307179586, -2.096}, {4.7281853071795865`, -2.032}, { 4.646185307179586, -1.966}, {4.562185307179586, -1.896}, { 4.479185307179586, -1.825}, {4.395185307179586, -1.751}, { 4.310185307179586, -1.674}, {4.225185307179586, -1.596}, { 4.140185307179586, -1.516}, {4.0551853071795865`, -1.434}, { 3.970185307179586, -1.35}, {3.884185307179586, -1.266}, { 3.7991853071795862`, -1.18}, {3.7141853071795863`, -1.093}, { 3.6291853071795863`, -1.006}, {3.5441853071795864`, -0.918}, { 3.4601853071795863`, -0.831}, {3.376185307179586, -0.743}, { 3.293185307179586, -0.656}, {3.2101853071795863`, -0.569}, { 3.1281853071795864`, -0.483}, {3.046185307179586, -0.397}, { 2.965185307179586, -0.313}, {2.8861853071795864`, -0.23}, { 2.8061853071795864`, -0.149}, {2.728185307179586, -0.069}, { 2.651185307179586, 0.009}, {2.575185307179586, 0.086}, { 2.5001853071795863`, 0.16}, {2.426185307179586, 0.232}, { 2.353185307179586, 0.303}, {2.2811853071795865`, 0.371}, { 2.210185307179586, 0.437}, {2.1401853071795864`, 0.5}, { 2.0711853071795865`, 0.562}, {1.7441853071795865`, 0.836}, { 1.447185307179586, 1.054}, {1.1781853071795858`, 1.222}, { 0.9371853071795861, 1.348}, {0.7191853071795862, 1.438}, { 0.5241853071795859, 1.5}, {0.34918530717958607`, 1.541}, { 0.1911853071795866, 1.565}, {0.04818530717958591, 1.577}, {-0.08081469282041365, 1.58}, {-0.19781469282041364`, 1.576}, {-0.30481469282041385`, 1.568}, {-0.4018146928204134, 1.556}, {-0.7018146928204141, 1.498}, {-0.9908146928204138, 1.417}, {-1.190814692820414, 1.353}, {-1.334814692820414, 1.305}, {-1.440814692820414, 1.27}, {-1.5188146928204134`, 1.245}, {-1.5788146928204139`, 1.227}, {-1.6238146928204138`, 1.214}, {-1.8948146928204146`, 1.147}, {-2.222814692820414, 1.11}, {-2.5278146928204137`, 1.13}, {-2.8198146928204135`, 1.202}, {-3.1068146928204143`, 1.317}, {-3.3908146928204133`, 1.466}, {-3.674814692820414, 1.638}, {-3.9578146928204134`, 1.824}, {-4.2398146928204135`, 2.014}, {-4.518814692820413, 2.198}, {-4.792814692820414, 2.369}, {-5.060814692820413, 2.522}, {-5.320814692820413, 2.654}, {-5.571814692820414, 2.763}, {-5.812814692820414, 2.848}, {-6.043814692820414, 2.912}, {-6.262814692820413, 2.957}, {-6.4718146928204145`, 2.986}, {-6.669814692820413, 3.001}, {-6.856814692820414, 3.006}, {-7.034814692820413, 3.002}, {-7.202814692820414, 2.993}, {-7.362814692820415, 2.98}, {-7.514814692820414, 2.965}, {-7.658814692820414, 2.949}, {-7.795814692820414, 2.934}, {-7.926814692820415, 2.919}, {-8.051814692820415, 2.906}, {-8.171814692820414, 2.894}, {-8.286814692820414, 2.886}, {-8.396814692820413, 2.879}, {-8.502814692820413, 2.875}, {-8.605814692820413, 2.874}, {-8.704814692820413, 2.875}, {-8.799814692820414, 2.878}, {-8.891814692820414, 2.884}, {-9.315814692820414, 2.944}, {-9.685814692820413, 3.039}, {-10.015814692820413`, 3.152}, {-10.309814692820414`, 3.269}, {-10.575814692820416`, 3.382}, {-10.813814692820415`, 3.484}, {-11.028814692820415`, 3.574}, {-11.222814692820414`, 3.651}, {-11.395814692820412`, 3.714}, {-11.551814692820415`, 3.766}, {-11.690814692820414`, 3.807}, {-11.815814692820414`, 3.839}, {-11.926814692820415`, 3.864}, {-12.140814692820413`, 3.898}, {-12.434814692820414`, 3.906}, {-12.505814692820415`, 3.72}, {-12.394814692820415`, 3.654}, {-12.259814692820413`, 3.583}, {-12.105814692820413`, 3.504}, {-11.940814692820414`, 3.418}, {-11.768814692820413`, 3.324}, {-11.591814692820414`, 3.222}, {-11.413814692820413`, 3.115}, {-11.236814692820413`, 3.003}, {-11.062814692820414`, 2.888}, {-10.892814692820412`, 2.771}, {-10.727814692820413`, 2.656}, {-10.567814692820413`, 2.543}, {-10.414814692820414`, 2.434}, {-10.266814692820414`, 2.331}, {-10.126814692820414`, 2.233}, {-9.991814692820412, 2.142}, {-9.863814692820412, 2.059}, {-9.742814692820414, 1.982}, {-9.626814692820414, 1.913}, {-9.515814692820413, 1.851}, {-9.410814692820415, 1.796}, {-9.310814692820413, 1.748}, {-9.215814692820414, 1.706}}], LineBox[NCache[{{-8.848814692820413, 1.583}, {-8.979814692820414, 1.62}, {-9.110814692820414, 1.665}, {-9.242814692820414, 1.719}, {-9.376814692820414, 1.781}, {-9.511814692820414, 1.85}, {-9.647814692820413, 1.927}, {-9.785814692820413, 2.01}, {-9.924814692820412, 2.099}, {-10.065814692820414`, 2.193}, {-10.207814692820413`, 2.29}, {-10.350814692820414`, 2.39}, {-10.493814692820415`, 2.492}, {-10.639814692820412`, 2.595}, {-10.783814692820414`, 2.696}, {-10.926814692820415`, 2.796}, {-11.068814692820414`, 2.893}, {-11.209814692820412`, 2.986}, {-11.347814692820414`, 3.075}, {-11.483814692820413`, 3.159}, {-11.615814692820415`, 3.238}, {-11.743814692820415`, 3.312}, {-11.866814692820412`, 3.38}, {-11.983814692820413`, 3.442}, {-12.094814692820414`, 3.5}, {-12.197814692820415`, 3.553}, {-12.291814692820413`, 3.602}, {-12.376814692820414`, 3.647}, {-12.579814692820413`, 3.786}, {-12.395814692820412`, 3.907}, {-12.250814692820413`, 3.906}, {-12.049814692820412`, 3.885}, {-11.779814692820413`, 3.83}, {-11.423814692820415`, 3.723}, {-11.222814692820414`, 3.65}, {-11.128814692820413`, 3.614}, {-11.030814692820414`, 3.574}, {-10.926814692820415`, 3.532}, {-10.818814692820414`, 3.486}, {-10.703814692820412`, 3.437}, {-10.583814692820415`, 3.385}, {-10.457814692820413`, 3.331}, {-10.325814692820416`, 3.276}, {-10.186814692820413`, 3.218}, {-10.039814692820414`, 3.161}, {-9.886814692820415, 3.105}, {-9.724814692820413, 3.051}, {-9.553814692820414, 3.}, {-9.372814692820414, 2.956}, {-9.180814692820414, 2.919}, {-8.976814692820414, 2.892}, {-8.756814692820413, 2.876}, {-8.520814692820414, 2.875}, {-8.262814692820413, 2.887}, {-7.978814692820414, 2.913}, {-7.664814692820414, 2.949}, {-7.312814692820414, 2.985}, {-6.915814692820414, 3.005}, {-6.592814692820413, 2.997}, {-6.498814692820414, 2.989}, {-6.402814692820414, 2.978}, {-6.304814692820413, 2.964}, {-6.204814692820413, 2.947}, {-6.1018146928204136`, 2.926}, {-5.996814692820413, 2.901}, {-5.888814692820414, 2.871}, {-5.778814692820413, 2.837}, {-5.666814692820413, 2.798}, {-5.552814692820414, 2.755}, {-5.436814692820414, 2.706}, {-5.317814692820415, 2.653}, {-5.197814692820414, 2.594}, {-5.075814692820414, 2.53}, {-4.951814692820413, 2.462}, {-4.826814692820413, 2.389}, {-4.699814692820414, 2.312}, {-4.571814692820414, 2.232}, {-4.442814692820415, 2.148}, {-4.312814692820414, 2.063}, {-4.182814692820413, 1.975}, {-4.051814692820415, 1.887}, {-3.9208146928204144`, 1.799}, {-3.789814692820414, 1.712}, {-3.6578146928204145`, 1.627}, {-3.5268146928204143`, 1.546}, {-3.3948146928204146`, 1.468}, {-3.262814692820413, 1.395}, {-3.131814692820413, 1.329}, {-2.9998146928204132`, 1.269}, {-2.866814692820414, 1.218}, {-2.732814692820414, 1.176}, {-2.597814692820414, 1.143}, {-2.4608146928204135`, 1.121}, {-2.320814692820413, 1.11}, {-2.1768146928204146`, 1.112}, {-2.0278146928204137`, 1.125}, {-1.8718146928204131`, 1.152}, {-1.706814692820414, 1.191}, {-1.5298146928204135`, 1.242}, {-1.3388146928204137`, 1.304}, {-1.1288146928204137`, 1.373}, {-0.895814692820414, 1.446}, {-0.6328146928204141, 1.514}, {-0.3348146928204141, 1.564}, { 0.008185307179585877, 1.579}, {0.402185307179586, 1.53}, { 0.6061853071795866, 1.476}, {0.6981853071795863, 1.446}, { 0.7921853071795866, 1.41}, {0.8881853071795867, 1.37}, { 0.987185307179586, 1.324}, {1.0891853071795863`, 1.272}, { 1.192185307179586, 1.214}, {1.2991853071795862`, 1.151}, { 1.4081853071795862`, 1.081}, {1.519185307179586, 1.005}, { 1.6321853071795864`, 0.922}, {1.748185307179586, 0.833}, { 1.8661853071795864`, 0.738}, {1.9851853071795862`, 0.637}, { 2.107185307179586, 0.53}, {2.2301853071795863`, 0.418}, { 2.3541853071795864`, 0.301}, {2.4801853071795863`, 0.179}, { 2.607185307179586, 0.054}, {2.7341853071795863`, -0.075}, { 2.8621853071795864`, -0.206}, {2.9911853071795864`, -0.339}, { 3.119185307179586, -0.473}, {3.247185307179586, -0.608}, { 3.3751853071795863`, -0.742}, {3.502185307179586, -0.874}, { 3.6281853071795864`, -1.005}, {3.7531853071795864`, -1.133}, { 3.876185307179586, -1.258}, {3.998185307179586, -1.379}, { 4.1191853071795865`, -1.495}, {4.237185307179587, -1.607}, { 4.354185307179586, -1.714}, {4.468185307179587, -1.815}, { 4.580185307179586, -1.911}, {4.689185307179586, -2.001}, { 4.796185307179586, -2.086}, {4.901185307179587, -2.165}, { 5.003185307179586, -2.238}, {5.1031853071795865`, -2.306}, { 5.199185307179587, -2.369}, {5.294185307179586, -2.426}, { 5.3851853071795865`, -2.478}, {5.474185307179586, -2.526}, { 5.561185307179587, -2.569}, {5.753185307179586, -2.653}, { 6.122185307179587, -2.768}, {6.436185307179586, -2.817}, { 6.705185307179586, -2.822}, {6.934185307179586, -2.799}, { 7.130185307179586, -2.76}, {7.299185307179586, -2.71}, { 7.444185307179586, -2.654}, {7.569185307179586, -2.596}, { 7.676185307179586, -2.537}, {7.770185307179586, -2.477}, { 7.850185307179586, -2.418}, {7.920185307179587, -2.359}, { 8.100185307179586, -2.154}, {8.216185307179586, -1.894}, { 8.240185307179587, -1.655}, {8.207185307179586, -1.43}, { 8.195185307179585, -1.388}, {8.179185307179587, -1.337}, { 8.156185307179586, -1.272}, {8.122185307179587, -1.191}, { 8.074185307179587, -1.091}, {8.006185307179587, -0.97}, { 7.912185307179586, -0.826}, {7.783185307179586, -0.659}, { 7.613185307179586, -0.476}, {7.3981853071795864`, -0.285}, { 7.136185307179586, -0.104}, {6.833185307179586, 0.048}, { 6.501185307179586, 0.159}, {6.1561853071795865`, 0.233}, { 5.819185307179586, 0.299}, {5.525185307179586, 0.41}, { 5.364185307179586, 0.681}, {5.373185307179586, 0.727}, { 5.397185307179586, 0.789}, {5.451185307179586, 0.874}, { 5.566185307179587, 0.993}, {5.811185307179587, 1.154}, { 6.0101853071795865`, 1.237}, {6.1191853071795865`, 1.269}, { 6.249185307179586, 1.296}, {6.405185307179586, 1.314}, { 6.593185307179586, 1.314}, {6.820185307179586, 1.287}, { 7.098185307179586, 1.215}, {7.439185307179586, 1.071}, { 7.623185307179586, 0.97}, {7.707185307179586, 0.919}, { 7.794185307179586, 0.862}, {7.8851853071795865`, 0.8}, { 7.980185307179586, 0.732}, {8.078185307179586, 0.658}, { 8.180185307179586, 0.578}, {8.286185307179586, 0.49}, { 8.396185307179586, 0.396}, {8.510185307179587, 0.294}, { 8.628185307179587, 0.186}, {8.750185307179587, 0.07}, { 8.876185307179586, -0.052}, {9.005185307179586, -0.181}, { 9.138185307179587, -0.316}, {9.275185307179587, -0.457}, { 9.415185307179586, -0.602}, {9.558185307179587, -0.752}, { 9.704185307179586, -0.905}, {9.853185307179587, -1.059}, { 10.003185307179587`, -1.214}, {10.156185307179587`, -1.369}, { 10.310185307179587`, -1.522}, {10.464185307179587`, -1.671}, { 10.619185307179587`, -1.817}, {10.774185307179586`, -1.956}, { 10.929185307179587`, -2.089}, {11.083185307179587`, -2.214}, { 11.235185307179586`, -2.331}, {11.386185307179586`, -2.439}, { 11.535185307179585`, -2.538}, {11.682185307179587`, -2.627}, { 11.825185307179586`, -2.707}, {11.966185307179586`, -2.776}, { 12.104185307179586`, -2.837}, {12.238185307179586`, -2.889}, { 12.369185307179587`, -2.932}, {12.496185307179587`, -2.968}, { 12.662185307179586`, -3.004}, {12.708185307179587`, -3.012}, { 12.765185307179586`, -3.021}, {12.837185307179587`, -3.031}, { 12.927185307179586`, -3.04}, {13.039185307179586`, -3.047}, { 13.175185307179586`, -3.049}, {13.339185307179587`, -3.044}, { 13.534185307179587`, -3.026}, {13.760185307179587`, -2.99}, { 14.014185307179586`, -2.935}, {14.294185307179585`, -2.858}, { 14.588185307179586`, -2.763}, {14.888185307179587`, -2.654}, { 15.178185307179586`, -2.538}, {15.446185307179586`, -2.416}, { 15.680185307179586`, -2.289}, {15.874185307179586`, -2.157}, { 16.108185307179586`, -1.998}, {16.142185307179588`, -1.986}, { 16.186185307179585`, -1.976}, {16.246185307179587`, -1.975}, { 16.332185307179586`, -1.991}, {16.461185307179587`, -2.044}, { 16.664185307179586`, -2.165}, {16.987185307179587`, -2.395}, { 17.023185307179588`, -2.421}, {17.070185307179585`, -2.456}, { 17.133185307179588`, -2.502}, {17.216185307179586`, -2.563}, { 17.328185307179588`, -2.642}, {17.478185307179587`, -2.747}, { 17.681185307179586`, -2.882}, {17.956185307179588`, -3.047}, { 18.326185307179585`, -3.234}, {18.41018530717959, -3.27}, { 18.499185307179587`, -3.306}, {18.592185307179584`, -3.34}, { 18.691185307179587`, -3.373}, {18.793185307179584`, -3.405}, { 18.900185307179587`, -3.433}, {19.012185307179585`, -3.46}, { 19.173185307179587`, -3.49}, {19.21818530717959, -3.497}, { 19.27618530717959, -3.506}, {19.350185307179586`, -3.515}, { 19.444185307179588`, -3.524}, {19.562185307179586`, -3.532}, { 19.711185307179587`, -3.538}, {19.896185307179586`, -3.538}, { 20.123185307179586`, -3.53}, {20.398185307179588`, -3.511}, { 20.722185307179586`, -3.482}, {21.097185307179586`, -3.453}, { 21.260185307179587`, -3.445}, {21.304185307179587`, -3.443}, { 21.361185307179586`, -3.441}, {21.431185307179586`, -3.44}, { 21.519185307179587`, -3.44}, {21.629185307179586`, -3.442}, { 21.763185307179587`, -3.448}, {21.926185307179587`, -3.461}, { 22.122185307179585`, -3.484}, {22.355185307179585`, -3.524}, { 22.590185307179585`, -3.577}, {22.631185307179585`, -3.588}, { 22.683185307179585`, -3.601}, {22.748185307179586`, -3.619}, { 22.829185307179586`, -3.642}, {22.929185307179587`, -3.672}, { 23.052185307179585`, -3.71}, {23.202185307179587`, -3.76}, { 23.381185307179585`, -3.82}, {23.548185307179587`, -3.878}, { 23.593185307179585`, -3.893}, {23.649185307179586`, -3.913}, { 23.720185307179587`, -3.937}, {23.807185307179587`, -3.966}, { 23.914185307179586`, -4.001}, {24.043185307179588`, -4.043}, { 24.241185307179585`, -4.101}, {24.281185307179587`, -4.113}, { 24.331185307179584`, -4.126}, {24.393185307179586`, -4.142}, { 24.469185307179586`, -4.161}, {24.560185307179587`, -4.182}, { 24.769185307179587`, -4.223}, {24.806185307179586`, -4.229}, { 24.850185307179586`, -4.236}, {24.904185307179585`, -4.243}, { 24.967185307179587`, -4.251}, {25.158185307179586`, -4.264}, { 25.191185307179587`, -4.265}, {25.229185307179588`, -4.265}, { 25.357185307179588`, -4.243}, {25.174185307179584`, -4.144}, { 25.009185307179585`, -4.088}, {24.955185307179587`, -4.069}, { 24.775185307179587`, -4.005}, {24.736185307179586`, -3.99}, { 24.684185307179586`, -3.97}, {24.615185307179587`, -3.943}, { 24.427185307179585`, -3.866}, {24.389185307179588`, -3.85}, { 24.341185307179586`, -3.828}, {24.277185307179586`, -3.8}, { 24.195185307179585`, -3.763}, {24.003185307179585`, -3.674}, { 23.967185307179587`, -3.657}, {23.921185307179588`, -3.635}, { 23.862185307179587`, -3.607}, {23.786185307179586`, -3.57}, { 23.688185307179587`, -3.523}, {23.504185307179586`, -3.436}, { 23.462185307179585`, -3.416}, {23.409185307179587`, -3.392}, { 23.340185307179585`, -3.361}, {23.252185307179587`, -3.322}, { 23.138185307179587`, -3.274}, {22.980185307179585`, -3.212}, { 22.935185307179587`, -3.196}, {22.876185307179586`, -3.175}, { 22.801185307179587`, -3.15}, {22.702185307179587`, -3.12}, { 22.574185307179587`, -3.086}, {22.406185307179587`, -3.049}, { 22.356185307179587`, -3.04}, {22.292185307179587`, -3.029}, { 22.209185307179588`, -3.018}, {22.098185307179584`, -3.006}, { 21.949185307179587`, -2.997}, {21.731185307179587`, -2.995}, { 21.685185307179587`, -2.996}, {21.624185307179587`, -2.998}, { 21.544185307179585`, -3.003}, {21.438185307179587`, -3.011}, { 21.295185307179587`, -3.026}, {21.098185307179584`, -3.052}, { 20.787185307179584`, -3.1}, {20.747185307179585`, -3.107}, { 20.694185307179588`, -3.115}, {20.624185307179587`, -3.127}, { 20.531185307179584`, -3.141}, {20.409185307179584`, -3.16}, { 20.243185307179587`, -3.183}, {20.017185307179588`, -3.208}, { 19.703185307179588`, -3.225}, {19.395185307179588`, -3.217}, { 19.211185307179587`, -3.199}, {19.167185307179587`, -3.193}, { 19.110185307179584`, -3.184}, {19.036185307179586`, -3.17}, { 18.939185307179585`, -3.15}, {18.812185307179586`, -3.118}, { 18.645185307179588`, -3.067}, {18.425185307179586`, -2.983}, { 18.136185307179588`, -2.845}, {17.867185307179586`, -2.688}, { 17.787185307179584`, -2.636}, {17.703185307179588`, -2.579}, { 17.614185307179586`, -2.517}, {17.521185307179586`, -2.448}, { 17.422185307179586`, -2.373}, {17.320185307179585`, -2.291}, { 17.213185307179586`, -2.202}, {17.101185307179584`, -2.106}, { 16.984185307179587`, -2.003}, {16.858185307179586`, -1.888}, { 16.823185307179585`, -1.855}, {16.778185307179584`, -1.812}, { 16.720185307179584`, -1.757}, {16.646185307179586`, -1.686}, { 16.554185307179587`, -1.597}, {16.435185307179587`, -1.479}, { 16.286185307179586`, -1.328}, {16.101185307179584`, -1.139}, { 15.875185307179587`, -0.907}, {15.603185307179587`, -0.629}, { 15.376185307179586`, -0.401}, {15.313185307179586`, -0.338}, { 15.247185307179587`, -0.275}, {15.181185307179586`, -0.211}, { 15.113185307179586`, -0.147}, {15.044185307179585`, -0.083}, { 14.974185307179587`, -0.019}, {14.818185307179586`, 0.119}, { 14.788185307179587`, 0.145}, {14.750185307179587`, 0.177}, { 14.703185307179586`, 0.216}, {14.645185307179586`, 0.263}, { 14.573185307179585`, 0.319}, {14.487185307179587`, 0.385}, { 14.384185307179587`, 0.459}, {14.264185307179586`, 0.539}, { 14.129185307179586`, 0.62}, {13.983185307179586`, 0.695}, { 13.783185307179586`, 0.772}, {13.749185307179587`, 0.781}, { 13.708185307179587`, 0.79}, {13.663185307179585`, 0.798}, { 13.614185307179586`, 0.801}, {13.566185307179587`, 0.798}, { 13.647185307179587`, 0.505}, {13.774185307179586`, 0.395}, { 13.911185307179586`, 0.286}, {14.154185307179587`, 0.106}, { 14.288185307179587`, 0}, {14.421185307179586`, -0.117}, { 14.547185307179586`, -0.242}, {14.577185307179587`, -0.274}, { 14.694185307179586`, -0.409}, {14.720185307179586`, -0.442}, { 14.754185307179586`, -0.486}, {14.862185307179587`, -0.636}, { 14.889185307179586`, -0.676}, {14.922185307179586`, -0.729}, { 15.013185307179587`, -0.883}, {15.035185307179587`, -0.922}, { 15.061185307179587`, -0.974}, {15.093185307179587`, -1.042}, { 15.157185307179587`, -1.194}, {15.173185307179587`, -1.238}, { 15.191185307179586`, -1.296}, {15.212185307179587`, -1.372}, { 15.241185307179586`, -1.538}, {15.245185307179586`, -1.586}, { 15.246185307179585`, -1.647}, {15.241185307179586`, -1.727}, { 15.205185307179587`, -1.887}, {15.188185307179586`, -1.933}, { 15.159185307179586`, -1.992}, {15.113185307179586`, -2.069}, { 14.983185307179586`, -2.223}, {14.945185307179587`, -2.259}, { 14.890185307179586`, -2.306}, {14.810185307179585`, -2.368}, { 14.689185307179587`, -2.451}, {14.447185307179586`, -2.587}, { 14.408185307179586`, -2.606}, {14.357185307179586`, -2.63}, { 14.286185307179586`, -2.662}, {14.188185307179587`, -2.704}, { 14.049185307179586`, -2.758}, {13.842185307179587`, -2.825}, { 13.523185307179586`, -2.901}, {13.314185307179585`, -2.931}, { 13.210185307179586`, -2.939}, {13.094185307179586`, -2.944}, { 12.966185307179586`, -2.943}, {12.764185307179586`, -2.929}, { 12.717185307179587`, -2.923}, {12.657185307179585`, -2.914}, { 12.576185307179585`, -2.9}, {12.469185307179586`, -2.876}, { 12.324185307179587`, -2.837}, {12.126185307179586`, -2.769}, { 11.852185307179585`, -2.648}, {11.582185307179586`, -2.499}, { 11.498185307179586`, -2.447}, {11.409185307179587`, -2.388}, { 11.313185307179587`, -2.322}, {11.210185307179586`, -2.247}, { 11.099185307179585`, -2.163}, {10.980185307179585`, -2.069}, { 10.853185307179587`, -1.962}, {10.717185307179587`, -1.844}, { 10.571185307179586`, -1.711}, {10.415185307179586`, -1.564}, { 10.249185307179587`, -1.401}, {10.071185307179586`, -1.223}, { 9.883185307179586, -1.03}, {9.684185307179586, -0.822}, { 9.474185307179585, -0.602}, {9.253185307179587, -0.372}, { 9.024185307179586, -0.136}, {8.787185307179586, 0.102}, { 8.542185307179587, 0.336}, {8.292185307179587, 0.56}, { 8.039185307179586, 0.767}, {7.785185307179586, 0.954}, { 7.566185307179586, 1.095}, {7.529185307179587, 1.117}, { 7.481185307179587, 1.144}, {7.421185307179586, 1.177}, { 7.344185307179586, 1.217}, {7.248185307179586, 1.263}, { 7.130185307179586, 1.314}, {6.982185307179586, 1.368}, { 6.802185307179586, 1.42}, {6.586185307179586, 1.461}, { 6.332185307179587, 1.48}, {6.041185307179586, 1.463}, { 5.716185307179586, 1.398}, {5.364185307179586, 1.284}, { 4.991185307179586, 1.129}, {4.598185307179586, 0.965}, { 4.312185307179586, 0.872}, {4.283185307179586, 0.865}, { 4.266185307179587, 0.862}, {3.990185307179586, 0.821}, { 3.675185307179586, 0.839}, {3.4311853071795864`, 0.899}, { 3.240185307179586, 0.97}, {3.090185307179586, 1.039}, { 2.9711853071795864`, 1.099}, {2.8791853071795863`, 1.15}, { 2.8061853071795864`, 1.192}, {2.7491853071795864`, 1.226}, { 2.7051853071795864`, 1.252}, {2.6701853071795862`, 1.273}, { 2.321185307179586, 1.496}, {2.0421853071795866`, 1.677}, { 1.8261853071795864`, 1.813}, {1.6611853071795863`, 1.912}, { 1.5341853071795866`, 1.984}, {1.4371853071795861`, 2.037}, { 1.362185307179586, 2.076}, {1.3051853071795865`, 2.104}, { 1.261185307179586, 2.125}, {1.1091853071795859`, 2.193}, { 0.8261853071795864, 2.297}, {0.628185307179586, 2.349}, { 0.4881853071795863, 2.374}, {0.3891853071795861, 2.385}, { 0.31718530717958604`, 2.389}, {0.26518530717958644`, 2.389}, { 0.05418530717958614, 2.369}, {-0.058814692820413406`, 2.341}, {-0.1368146928204137, 2.315}, {-0.19781469282041364`, 2.293}, {-0.2488146928204138, 2.276}, {-0.2928146928204134, 2.262}, {-0.33081469282041365`, 2.252}, {-0.3628146928204137, 2.244}, {-0.6948146928204135, 2.182}, {-1.0268146928204134`, 2.127}, {-1.3758146928204136`, 2.072}, {-1.7048146928204142`, 2.034}, {-1.993814692820413, 2.024}, {-2.2378146928204146`, 2.041}, {-2.437814692820414, 2.074}, {-2.5988146928204134`, 2.116}, {-2.725814692820414, 2.157}, {-2.8258146928204138`, 2.196}, {-2.9028146928204137`, 2.229}, {-2.9638146928204137`, 2.258}, {-3.009814692820413, 2.281}, {-3.0458146928204144`, 2.3}, {-3.2828146928204145`, 2.44}, {-3.4288146928204135`, 2.545}, {-3.5408146928204136`, 2.642}, {-3.607814692820414, 2.796}, {-3.5218146928204135`, 2.815}, {-3.3468146928204145`, 2.803}, {-3.062814692820414, 2.771}, {-2.7688146928204134`, 2.748}, {-2.6738146928204145`, 2.745}, {-2.570814692820413, 2.744}, {-2.4608146928204135`, 2.745}, {-2.3418146928204138`, 2.75}, {-2.2138146928204137`, 2.759}, {-2.0748146928204143`, 2.771}, {-1.924814692820414, 2.789}, {-1.7608146928204143`, 2.811}, {-1.581814692820414, 2.837}, {-1.3868146928204137`, 2.866}, {-1.1728146928204142`, 2.896}, {-0.9368146928204135, 2.923}, {-0.6758146928204134, 2.941}, {-0.38781469282041403`, 2.944}, {-0.06881469282041408, 2.919}, {0.28318530717958623`, 2.853}, {0.668185307179586, 2.735}, {0.8581853071795864, 2.658}, { 0.942185307179586, 2.621}, {1.027185307179586, 2.581}, { 1.1131853071795863`, 2.538}, {1.200185307179586, 2.493}, { 1.2891853071795865`, 2.445}, {1.378185307179586, 2.395}, { 1.4681853071795858`, 2.342}, {1.559185307179586, 2.288}, { 1.6511853071795866`, 2.231}, {1.7441853071795865`, 2.172}, { 1.838185307179586, 2.111}, {1.9321853071795863`, 2.05}, { 2.027185307179586, 1.986}, {2.1221853071795866`, 1.923}, { 2.218185307179586, 1.858}, {2.3141853071795864`, 1.794}, { 2.410185307179586, 1.73}, {2.5071853071795864`, 1.666}, { 2.6041853071795864`, 1.604}, {2.7011853071795864`, 1.543}, { 2.7981853071795864`, 1.483}, {2.8951853071795863`, 1.427}, { 2.993185307179586, 1.372}, {3.090185307179586, 1.322}, { 3.1891853071795864`, 1.274}, {3.2871853071795862`, 1.231}, { 3.3861853071795864`, 1.192}, {3.485185307179586, 1.158}, { 3.586185307179586, 1.13}, {3.687185307179586, 1.107}, { 3.7901853071795863`, 1.09}, {3.8941853071795864`, 1.079}, { 4.001185307179586, 1.075}, {4.110185307179586, 1.079}, { 4.222185307179586, 1.089}, {4.339185307179586, 1.107}, { 4.460185307179586, 1.133}, {4.5871853071795865`, 1.166}, { 4.717185307179586, 1.204}, {4.860185307179586, 1.251}, { 5.013185307179587, 1.303}, {5.178185307179586, 1.359}, { 5.358185307179586, 1.417}, {5.556185307179586, 1.474}, { 5.774185307179586, 1.523}, {6.017185307179586, 1.557}, { 2 Pi, 1.566}, {6.5871853071795865`, 1.537}, {6.927185307179586, 1.454}, {7.306185307179586, 1.297}, {7.386185307179586, 1.255}, { 7.468185307179587, 1.21}, {7.552185307179586, 1.16}, { 7.637185307179586, 1.107}, {7.724185307179586, 1.05}, { 7.812185307179586, 0.989}, {7.902185307179586, 0.924}, { 7.9941853071795865`, 0.855}, {8.086185307179587, 0.781}, { 8.180185307179586, 0.704}, {8.275185307179587, 0.624}, { 8.371185307179587, 0.539}, {8.469185307179586, 0.451}, { 8.567185307179585, 0.36}, {8.666185307179585, 0.266}, { 8.766185307179587, 0.169}, {8.867185307179586, 0.069}, { 8.969185307179586, -0.033}, {9.070185307179585, -0.136}, { 9.172185307179586, -0.241}, {9.275185307179587, -0.348}, { 9.377185307179586, -0.455}, {9.479185307179586, -0.562}, { 9.582185307179586, -0.669}, {9.683185307179587, -0.776}, { 9.785185307179585, -0.882}, {9.886185307179586, -0.986}, { 9.986185307179586, -1.09}, {10.086185307179587`, -1.191}, { 10.184185307179586`, -1.29}, {10.282185307179587`, -1.386}, { 10.378185307179585`, -1.48}, {10.474185307179585`, -1.571}, { 10.568185307179586`, -1.659}, {10.661185307179586`, -1.744}, { 10.753185307179585`, -1.825}, {10.843185307179585`, -1.903}, { 10.932185307179587`, -1.977}, {11.019185307179587`, -2.047}, { 11.104185307179586`, -2.114}, {11.188185307179587`, -2.177}, { 11.271185307179586`, -2.237}, {11.352185307179585`, -2.293}, { 11.431185307179586`, -2.345}, {11.707185307179586`, -2.51}, { 12.049185307179586`, -2.669}, {12.351185307179586`, -2.768}, { 12.619185307179587`, -2.821}, {12.855185307179585`, -2.841}, { 13.063185307179587`, -2.837}, {13.247185307179587`, -2.817}, { 13.410185307179585`, -2.786}, {13.554185307179587`, -2.747}, { 13.682185307179587`, -2.705}, {13.796185307179586`, -2.66}, { 13.898185307179586`, -2.612}, {13.989185307179586`, -2.565}, { 14.244185307179587`, -2.393}, {14.458185307179587`, -2.171}, { 14.570185307179587`, -1.966}, {14.618185307179587`, -1.774}, { 14.623185307179586`, -1.592}, {14.597185307179586`, -1.42}, { 14.550185307179586`, -1.258}, {14.488185307179586`, -1.104}, { 14.416185307179585`, -0.96}, {14.337185307179587`, -0.826}, { 14.254185307179586`, -0.7}, {14.168185307179586`, -0.584}, { 14.081185307179586`, -0.477}, {13.995185307179586`, -0.379}, { 13.909185307179587`, -0.288}, {13.825185307179586`, -0.206}, { 13.743185307179587`, -0.13}, {13.663185307179585`, -0.062}, { 13.586185307179587`, 0.001}, {13.416185307179585`, 0.126}, { 13.102185307179585`, 0.321}, {12.857185307179586`, 0.455}, { 12.673185307179587`, 0.559}, {12.545185307179587`, 0.653}, { 12.470185307179587`, 0.746}, {12.446185307179586`, 0.84}, { 12.478185307179587`, 0.935}, {12.571185307179586`, 1.027}, { 12.734185307179587`, 1.103}, {12.983185307179586`, 1.143}, { 13.338185307179586`, 1.106}, {13.423185307179587`, 1.084}, { 13.514185307179586`, 1.056}, {13.610185307179586`, 1.02}, { 13.712185307179587`, 0.977}, {13.820185307179585`, 0.925}, { 13.934185307179586`, 0.864}, {14.055185307179586`, 0.793}, { 14.182185307179587`, 0.71}, {14.315185307179586`, 0.616}, { 14.455185307179587`, 0.51}, {14.602185307179587`, 0.392}, { 14.755185307179586`, 0.261}, {14.914185307179586`, 0.118}, { 15.079185307179586`, -0.037}, {15.249185307179586`, -0.203}, { 15.425185307179586`, -0.378}, {15.604185307179586`, -0.562}, { 15.788185307179587`, -0.752}, {15.974185307179587`, -0.946}, { 16.16318530717959, -1.141}, {16.35218530717959, -1.336}, { 16.543185307179584`, -1.526}, {16.732185307179584`, -1.711}, { 16.920185307179587`, -1.887}, {17.106185307179587`, -2.054}, { 17.289185307179586`, -2.208}, {17.469185307179586`, -2.351}, { 17.644185307179587`, -2.48}, {17.815185307179586`, -2.595}, { 17.981185307179587`, -2.697}, {18.141185307179587`, -2.786}, { 18.296185307179584`, -2.862}, {18.445185307179585`, -2.927}, { 18.589185307179584`, -2.981}, {18.726185307179584`, -3.025}, { 18.859185307179587`, -3.061}, {18.986185307179586`, -3.088}, { 19.108185307179586`, -3.109}, {19.22418530717959, -3.124}, { 19.336185307179587`, -3.134}, {19.442185307179585`, -3.139}, { 19.545185307179587`, -3.141}, {19.643185307179586`, -3.14}, { 19.736185307179586`, -3.136}, {20.15118530717959, -3.091}, { 20.489185307179586`, -3.03}, {20.768185307179586`, -2.97}, { 21.001185307179586`, -2.918}, {21.198185307179585`, -2.875}, { 21.368185307179587`, -2.841}, {21.515185307179586`, -2.815}, { 21.645185307179588`, -2.794}, {21.759185307179585`, -2.779}, { 21.861185307179586`, -2.767}, {22.166185307179585`, -2.751}, { 22.454185307179586`, -2.765}, {22.656185307179587`, -2.795}, { 22.807185307179587`, -2.831}, {22.922185307179586`, -2.865}, { 23.012185307179585`, -2.896}, {23.082185307179586`, -2.922}, { 23.137185307179585`, -2.944}, {23.180185307179585`, -2.962}, { 23.334185307179585`, -3.031}, {23.475185307179586`, -3.099}, { 23.618185307179587`, -3.171}, {23.767185307179588`, -3.248}, { 23.919185307179585`, -3.326}, {24.077185307179587`, -3.406}, { 24.238185307179585`, -3.484}, {24.404185307179585`, -3.56}, { 24.573185307179585`, -3.631}, {24.745185307179586`, -3.697}, { 24.919185307179585`, -3.756}, {25.094185307179586`, -3.808}, { 25.269185307179587`, -3.851}, {25.444185307179588`, -3.887}, { 25.617185307179586`, -3.914}, {25.788185307179585`, -3.935}, { 25.955185307179587`, -3.95}, {26.120185307179586`, -3.959}, { 26.281185307179587`, -3.964}, {26.437185307179586`, -3.967}, { 26.589185307179587`, -3.968}, {26.736185307179586`, -3.968}, { 26.879185307179586`, -3.968}, {27.017185307179588`, -3.968}, { 27.151185307179585`, -3.97}, {27.279185307179585`, -3.974}, { 27.404185307179585`, -3.98}, {27.523185307179585`, -3.987}, { 27.639185307179588`, -3.997}, {27.750185307179585`, -4.01}, { 27.857185307179588`, -4.024}, {27.960185307179586`, -4.041}, { 28.059185307179586`, -4.059}, {28.154185307179585`, -4.079}, { 28.245185307179586`, -4.101}, {28.645185307179585`, -4.223}, { 28.947185307179588`, -4.347}, {29.147185307179587`, -4.45}, { 29.143185307179586`, -4.542}, {28.899185307179586`, -4.504}, { 28.611185307179586`, -4.455}, {28.514185307179588`, -4.44}, { 28.410185307179585`, -4.425}, {28.297185307179586`, -4.412}, { 28.176185307179587`, -4.399}, {28.045185307179587`, -4.389}, { 27.904185307179585`, -4.381}, {27.753185307179585`, -4.377}, { 27.590185307179585`, -4.377}, {27.417185307179587`, -4.381}, { 27.231185307179587`, -4.389}, {27.032185307179585`, -4.401}, { 26.819185307179588`, -4.417}, {26.591185307179586`, -4.434}, { 26.348185307179588`, -4.45}, {26.089185307179587`, -4.461}, { 25.813185307179587`, -4.464}, {25.520185307179585`, -4.453}, { 25.210185307179586`, -4.422}, {24.882185307179586`, -4.368}, { 24.535185307179585`, -4.287}, {24.167185307179587`, -4.177}, { 23.777185307179586`, -4.042}, {23.473185307179588`, -3.931}, { 23.388185307179587`, -3.9}, {23.301185307179587`, -3.868}, { 23.212185307179585`, -3.836}, {23.123185307179586`, -3.805}, { 23.031185307179587`, -3.773}, {22.937185307179586`, -3.742}, { 22.842185307179587`, -3.711}, {22.745185307179586`, -3.682}, { 22.645185307179585`, -3.653}, {22.544185307179585`, -3.626}, { 22.440185307179586`, -3.6}, {22.334185307179585`, -3.576}, { 22.225185307179586`, -3.555}, {22.113185307179585`, -3.535}, { 21.997185307179585`, -3.519}, {21.878185307179585`, -3.505}, { 21.756185307179585`, -3.494}, {21.629185307179586`, -3.487}, { 21.498185307179586`, -3.483}, {21.363185307179585`, -3.483}, { 21.222185307179586`, -3.486}, {21.077185307179587`, -3.492}, { 20.925185307179586`, -3.502}, {20.768185307179586`, -3.513}, { 20.605185307179585`, -3.526}, {20.436185307179585`, -3.54}, { 20.260185307179587`, -3.552}, {20.079185307179586`, -3.562}, { 19.891185307179587`, -3.567}, {19.697185307179588`, -3.565}, { 19.498185307179586`, -3.555}, {19.295185307179587`, -3.534}, { 19.089185307179584`, -3.501}, {18.880185307179588`, -3.454}, { 18.672185307179586`, -3.393}, {18.464185307179584`, -3.317}, { 18.260185307179587`, -3.229}, {18.060185307179587`, -3.13}, { 17.867185307179586`, -3.023}, {17.681185307179586`, -2.91}, { 17.505185307179588`, -2.796}, {17.339185307179584`, -2.682}, { 17.184185307179586`, -2.573}, {17.041185307179585`, -2.471}, { 16.909185307179584`, -2.378}, {16.789185307179586`, -2.295}, { 16.680185307179585`, -2.225}, {16.582185307179586`, -2.166}, { 16.389185307179588`, -2.079}, {16.074185307179587`, -2.103}, { 15.916185307179585`, -2.193}, {15.833185307179587`, -2.244}, { 15.733185307179586`, -2.301}, {15.609185307179587`, -2.366}, { 15.455185307179587`, -2.44}, {15.258185307179586`, -2.525}, { 15.001185307179586`, -2.626}, {14.667185307179587`, -2.748}, { 14.470185307179586`, -2.813}, {14.376185307179586`, -2.843}, { 14.276185307179587`, -2.873}, {14.168185307179586`, -2.903}, { 14.054185307179587`, -2.933}, {13.930185307179586`, -2.962}, { 13.798185307179587`, -2.99}, {13.656185307179587`, -3.015}, { 13.504185307179586`, -3.035}, {13.339185307179587`, -3.049}, { 13.162185307179586`, -3.055}, {12.972185307179586`, -3.048}, { 12.767185307179586`, -3.026}, {12.546185307179586`, -2.984}, { 12.310185307179587`, -2.917}, {12.057185307179587`, -2.821}, { 11.789185307179586`, -2.69}, {11.505185307179588`, -2.522}, { 11.208185307179587`, -2.314}, {10.899185307179586`, -2.067}, { 10.581185307179586`, -1.784}, {10.344185307179586`, -1.558}, { 10.279185307179587`, -1.495}, {10.214185307179587`, -1.43}, { 10.149185307179586`, -1.365}, {10.084185307179586`, -1.299}, { 10.019185307179587`, -1.233}, {9.954185307179586, -1.167}, { 9.889185307179586, -1.1}, {9.825185307179586, -1.033}, { 9.760185307179587, -0.966}, {9.696185307179586, -0.899}, { 9.632185307179586, -0.832}, {9.568185307179586, -0.765}, { 9.505185307179586, -0.699}, {9.442185307179585, -0.633}, { 9.379185307179586, -0.567}, {9.071185307179586, -0.251}, { 8.776185307179587, 0.042}, {8.495185307179586, 0.305}, { 8.231185307179587, 0.532}, {7.984185307179587, 0.725}, { 7.755185307179586, 0.884}, {7.543185307179586, 1.011}, { 7.347185307179586, 1.11}, {7.168185307179586, 1.185}, { 7.003185307179586, 1.239}, {6.852185307179586, 1.275}, { 6.714185307179586, 1.297}, {6.5871853071795865`, 1.307}, { 6.472185307179586, 1.308}, {6.366185307179586, 1.302}, { 6.2681853071795866`, 1.289}, {5.8931853071795866`, 1.177}, { 5.653185307179586, 1.037}, {5.507185307179586, 0.9}, { 5.4301853071795865`, 0.777}, {5.407185307179586, 0.667}, { 5.428185307179586, 0.571}, {5.487185307179586, 0.488}, { 5.582185307179587, 0.418}, {5.709185307179586, 0.36}, { 5.870185307179586, 0.312}, {6.067185307179586, 0.269}, { 6.304185307179586, 0.221}, {6.589185307179586, 0.148}, { 6.929185307179586, 0.018}, {7.108185307179586, -0.077}, { 7.189185307179586, -0.126}, {7.272185307179586, -0.182}, { 7.357185307179586, -0.244}, {7.444185307179586, -0.313}, { 7.533185307179586, -0.389}, {7.622185307179587, -0.474}, { 7.711185307179586, -0.568}, {7.800185307179586, -0.67}, { 7.888185307179587, -0.782}, {7.972185307179586, -0.904}, { 8.050185307179586, -1.034}, {8.121185307179587, -1.175}, { 8.181185307179586, -1.324}, {8.224185307179587, -1.484}, { 8.245185307179586, -1.652}, {8.234185307179587, -1.83}, { 8.178185307179586, -2.02}, {8.055185307179586, -2.221}, { 7.8291853071795865`, -2.437}, {7.6721853071795865`, -2.542}, { 7.591185307179586, -2.587}, {7.500185307179587, -2.631}, { 7.399185307179586, -2.674}, {7.286185307179586, -2.716}, { 7.160185307179586, -2.753}, {7.017185307179586, -2.786}, { 6.858185307179586, -2.811}, {6.678185307179586, -2.824}, { 6.475185307179586, -2.82}, {6.247185307179587, -2.793}, { 5.990185307179586, -2.734}, {5.700185307179586, -2.632}, { 5.375185307179586, -2.473}, {5.114185307179586, -2.314}, { 5.0391853071795865`, -2.264}, {4.963185307179586, -2.21}, { 4.8851853071795865`, -2.154}, {4.806185307179586, -2.094}, { 4.726185307179586, -2.031}, {4.644185307179586, -1.965}, { 4.560185307179586, -1.895}, {4.476185307179586, -1.822}, { 4.390185307179586, -1.746}, {4.302185307179586, -1.667}, { 4.214185307179586, -1.586}, {4.124185307179586, -1.501}, { 4.034185307179586, -1.413}, {3.9401853071795863`, -1.322}, { 3.848185307179586, -1.229}, {3.7541853071795863`, -1.135}, { 3.660185307179586, -1.038}, {3.5651853071795863`, -0.94}, { 3.469185307179586, -0.841}, {3.373185307179586, -0.74}, { 3.2771853071795864`, -0.639}, {3.180185307179586, -0.538}, { 3.083185307179586, -0.436}, {2.986185307179586, -0.335}, { 2.889185307179586, -0.234}, {2.792185307179586, -0.134}, { 2.695185307179586, -0.036}, {2.599185307179586, 0.061}, { 2.5031853071795864`, 0.156}, {2.4081853071795862`, 0.249}, { 2.3141853071795864`, 0.339}, {2.2201853071795865`, 0.427}}, {{-8.848814692820413, 1.583}, {-8.979814692820414, 1.62}, {-9.110814692820414, 1.665}, {-9.242814692820414, 1.719}, {-9.376814692820414, 1.781}, {-9.511814692820414, 1.85}, {-9.647814692820413, 1.927}, {-9.785814692820413, 2.01}, {-9.924814692820412, 2.099}, {-10.065814692820414`, 2.193}, {-10.207814692820413`, 2.29}, {-10.350814692820414`, 2.39}, {-10.493814692820415`, 2.492}, {-10.639814692820412`, 2.595}, {-10.783814692820414`, 2.696}, {-10.926814692820415`, 2.796}, {-11.068814692820414`, 2.893}, {-11.209814692820412`, 2.986}, {-11.347814692820414`, 3.075}, {-11.483814692820413`, 3.159}, {-11.615814692820415`, 3.238}, {-11.743814692820415`, 3.312}, {-11.866814692820412`, 3.38}, {-11.983814692820413`, 3.442}, {-12.094814692820414`, 3.5}, {-12.197814692820415`, 3.553}, {-12.291814692820413`, 3.602}, {-12.376814692820414`, 3.647}, {-12.579814692820413`, 3.786}, {-12.395814692820412`, 3.907}, {-12.250814692820413`, 3.906}, {-12.049814692820412`, 3.885}, {-11.779814692820413`, 3.83}, {-11.423814692820415`, 3.723}, {-11.222814692820414`, 3.65}, {-11.128814692820413`, 3.614}, {-11.030814692820414`, 3.574}, {-10.926814692820415`, 3.532}, {-10.818814692820414`, 3.486}, {-10.703814692820412`, 3.437}, {-10.583814692820415`, 3.385}, {-10.457814692820413`, 3.331}, {-10.325814692820416`, 3.276}, {-10.186814692820413`, 3.218}, {-10.039814692820414`, 3.161}, {-9.886814692820415, 3.105}, {-9.724814692820413, 3.051}, {-9.553814692820414, 3.}, {-9.372814692820414, 2.956}, {-9.180814692820414, 2.919}, {-8.976814692820414, 2.892}, {-8.756814692820413, 2.876}, {-8.520814692820414, 2.875}, {-8.262814692820413, 2.887}, {-7.978814692820414, 2.913}, {-7.664814692820414, 2.949}, {-7.312814692820414, 2.985}, {-6.915814692820414, 3.005}, {-6.592814692820413, 2.997}, {-6.498814692820414, 2.989}, {-6.402814692820414, 2.978}, {-6.304814692820413, 2.964}, {-6.204814692820413, 2.947}, {-6.1018146928204136`, 2.926}, {-5.996814692820413, 2.901}, {-5.888814692820414, 2.871}, {-5.778814692820413, 2.837}, {-5.666814692820413, 2.798}, {-5.552814692820414, 2.755}, {-5.436814692820414, 2.706}, {-5.317814692820415, 2.653}, {-5.197814692820414, 2.594}, {-5.075814692820414, 2.53}, {-4.951814692820413, 2.462}, {-4.826814692820413, 2.389}, {-4.699814692820414, 2.312}, {-4.571814692820414, 2.232}, {-4.442814692820415, 2.148}, {-4.312814692820414, 2.063}, {-4.182814692820413, 1.975}, {-4.051814692820415, 1.887}, {-3.9208146928204144`, 1.799}, {-3.789814692820414, 1.712}, {-3.6578146928204145`, 1.627}, {-3.5268146928204143`, 1.546}, {-3.3948146928204146`, 1.468}, {-3.262814692820413, 1.395}, {-3.131814692820413, 1.329}, {-2.9998146928204132`, 1.269}, {-2.866814692820414, 1.218}, {-2.732814692820414, 1.176}, {-2.597814692820414, 1.143}, {-2.4608146928204135`, 1.121}, {-2.320814692820413, 1.11}, {-2.1768146928204146`, 1.112}, {-2.0278146928204137`, 1.125}, {-1.8718146928204131`, 1.152}, {-1.706814692820414, 1.191}, {-1.5298146928204135`, 1.242}, {-1.3388146928204137`, 1.304}, {-1.1288146928204137`, 1.373}, {-0.895814692820414, 1.446}, {-0.6328146928204141, 1.514}, {-0.3348146928204141, 1.564}, { 0.008185307179585877, 1.579}, {0.402185307179586, 1.53}, { 0.6061853071795866, 1.476}, {0.6981853071795863, 1.446}, { 0.7921853071795866, 1.41}, {0.8881853071795867, 1.37}, { 0.987185307179586, 1.324}, {1.0891853071795863`, 1.272}, { 1.192185307179586, 1.214}, {1.2991853071795862`, 1.151}, { 1.4081853071795862`, 1.081}, {1.519185307179586, 1.005}, { 1.6321853071795864`, 0.922}, {1.748185307179586, 0.833}, { 1.8661853071795864`, 0.738}, {1.9851853071795862`, 0.637}, { 2.107185307179586, 0.53}, {2.2301853071795863`, 0.418}, { 2.3541853071795864`, 0.301}, {2.4801853071795863`, 0.179}, { 2.607185307179586, 0.054}, {2.7341853071795863`, -0.075}, { 2.8621853071795864`, -0.206}, {2.9911853071795864`, -0.339}, { 3.119185307179586, -0.473}, {3.247185307179586, -0.608}, { 3.3751853071795863`, -0.742}, {3.502185307179586, -0.874}, { 3.6281853071795864`, -1.005}, {3.7531853071795864`, -1.133}, { 3.876185307179586, -1.258}, {3.998185307179586, -1.379}, { 4.1191853071795865`, -1.495}, {4.237185307179587, -1.607}, { 4.354185307179586, -1.714}, {4.468185307179587, -1.815}, { 4.580185307179586, -1.911}, {4.689185307179586, -2.001}, { 4.796185307179586, -2.086}, {4.901185307179587, -2.165}, { 5.003185307179586, -2.238}, {5.1031853071795865`, -2.306}, { 5.199185307179587, -2.369}, {5.294185307179586, -2.426}, { 5.3851853071795865`, -2.478}, {5.474185307179586, -2.526}, { 5.561185307179587, -2.569}, {5.753185307179586, -2.653}, { 6.122185307179587, -2.768}, {6.436185307179586, -2.817}, { 6.705185307179586, -2.822}, {6.934185307179586, -2.799}, { 7.130185307179586, -2.76}, {7.299185307179586, -2.71}, { 7.444185307179586, -2.654}, {7.569185307179586, -2.596}, { 7.676185307179586, -2.537}, {7.770185307179586, -2.477}, { 7.850185307179586, -2.418}, {7.920185307179587, -2.359}, { 8.100185307179586, -2.154}, {8.216185307179586, -1.894}, { 8.240185307179587, -1.655}, {8.207185307179586, -1.43}, { 8.195185307179585, -1.388}, {8.179185307179587, -1.337}, { 8.156185307179586, -1.272}, {8.122185307179587, -1.191}, { 8.074185307179587, -1.091}, {8.006185307179587, -0.97}, { 7.912185307179586, -0.826}, {7.783185307179586, -0.659}, { 7.613185307179586, -0.476}, {7.3981853071795864`, -0.285}, { 7.136185307179586, -0.104}, {6.833185307179586, 0.048}, { 6.501185307179586, 0.159}, {6.1561853071795865`, 0.233}, { 5.819185307179586, 0.299}, {5.525185307179586, 0.41}, { 5.364185307179586, 0.681}, {5.373185307179586, 0.727}, { 5.397185307179586, 0.789}, {5.451185307179586, 0.874}, { 5.566185307179587, 0.993}, {5.811185307179587, 1.154}, { 6.0101853071795865`, 1.237}, {6.1191853071795865`, 1.269}, { 6.249185307179586, 1.296}, {6.405185307179586, 1.314}, { 6.593185307179586, 1.314}, {6.820185307179586, 1.287}, { 7.098185307179586, 1.215}, {7.439185307179586, 1.071}, { 7.623185307179586, 0.97}, {7.707185307179586, 0.919}, { 7.794185307179586, 0.862}, {7.8851853071795865`, 0.8}, { 7.980185307179586, 0.732}, {8.078185307179586, 0.658}, { 8.180185307179586, 0.578}, {8.286185307179586, 0.49}, { 8.396185307179586, 0.396}, {8.510185307179587, 0.294}, { 8.628185307179587, 0.186}, {8.750185307179587, 0.07}, { 8.876185307179586, -0.052}, {9.005185307179586, -0.181}, { 9.138185307179587, -0.316}, {9.275185307179587, -0.457}, { 9.415185307179586, -0.602}, {9.558185307179587, -0.752}, { 9.704185307179586, -0.905}, {9.853185307179587, -1.059}, { 10.003185307179587`, -1.214}, {10.156185307179587`, -1.369}, { 10.310185307179587`, -1.522}, {10.464185307179587`, -1.671}, { 10.619185307179587`, -1.817}, {10.774185307179586`, -1.956}, { 10.929185307179587`, -2.089}, {11.083185307179587`, -2.214}, { 11.235185307179586`, -2.331}, {11.386185307179586`, -2.439}, { 11.535185307179585`, -2.538}, {11.682185307179587`, -2.627}, { 11.825185307179586`, -2.707}, {11.966185307179586`, -2.776}, { 12.104185307179586`, -2.837}, {12.238185307179586`, -2.889}, { 12.369185307179587`, -2.932}, {12.496185307179587`, -2.968}, { 12.662185307179586`, -3.004}, {12.708185307179587`, -3.012}, { 12.765185307179586`, -3.021}, {12.837185307179587`, -3.031}, { 12.927185307179586`, -3.04}, {13.039185307179586`, -3.047}, { 13.175185307179586`, -3.049}, {13.339185307179587`, -3.044}, { 13.534185307179587`, -3.026}, {13.760185307179587`, -2.99}, { 14.014185307179586`, -2.935}, {14.294185307179585`, -2.858}, { 14.588185307179586`, -2.763}, {14.888185307179587`, -2.654}, { 15.178185307179586`, -2.538}, {15.446185307179586`, -2.416}, { 15.680185307179586`, -2.289}, {15.874185307179586`, -2.157}, { 16.108185307179586`, -1.998}, {16.142185307179588`, -1.986}, { 16.186185307179585`, -1.976}, {16.246185307179587`, -1.975}, { 16.332185307179586`, -1.991}, {16.461185307179587`, -2.044}, { 16.664185307179586`, -2.165}, {16.987185307179587`, -2.395}, { 17.023185307179588`, -2.421}, {17.070185307179585`, -2.456}, { 17.133185307179588`, -2.502}, {17.216185307179586`, -2.563}, { 17.328185307179588`, -2.642}, {17.478185307179587`, -2.747}, { 17.681185307179586`, -2.882}, {17.956185307179588`, -3.047}, { 18.326185307179585`, -3.234}, {18.41018530717959, -3.27}, { 18.499185307179587`, -3.306}, {18.592185307179584`, -3.34}, { 18.691185307179587`, -3.373}, {18.793185307179584`, -3.405}, { 18.900185307179587`, -3.433}, {19.012185307179585`, -3.46}, { 19.173185307179587`, -3.49}, {19.21818530717959, -3.497}, { 19.27618530717959, -3.506}, {19.350185307179586`, -3.515}, { 19.444185307179588`, -3.524}, {19.562185307179586`, -3.532}, { 19.711185307179587`, -3.538}, {19.896185307179586`, -3.538}, { 20.123185307179586`, -3.53}, {20.398185307179588`, -3.511}, { 20.722185307179586`, -3.482}, {21.097185307179586`, -3.453}, { 21.260185307179587`, -3.445}, {21.304185307179587`, -3.443}, { 21.361185307179586`, -3.441}, {21.431185307179586`, -3.44}, { 21.519185307179587`, -3.44}, {21.629185307179586`, -3.442}, { 21.763185307179587`, -3.448}, {21.926185307179587`, -3.461}, { 22.122185307179585`, -3.484}, {22.355185307179585`, -3.524}, { 22.590185307179585`, -3.577}, {22.631185307179585`, -3.588}, { 22.683185307179585`, -3.601}, {22.748185307179586`, -3.619}, { 22.829185307179586`, -3.642}, {22.929185307179587`, -3.672}, { 23.052185307179585`, -3.71}, {23.202185307179587`, -3.76}, { 23.381185307179585`, -3.82}, {23.548185307179587`, -3.878}, { 23.593185307179585`, -3.893}, {23.649185307179586`, -3.913}, { 23.720185307179587`, -3.937}, {23.807185307179587`, -3.966}, { 23.914185307179586`, -4.001}, {24.043185307179588`, -4.043}, { 24.241185307179585`, -4.101}, {24.281185307179587`, -4.113}, { 24.331185307179584`, -4.126}, {24.393185307179586`, -4.142}, { 24.469185307179586`, -4.161}, {24.560185307179587`, -4.182}, { 24.769185307179587`, -4.223}, {24.806185307179586`, -4.229}, { 24.850185307179586`, -4.236}, {24.904185307179585`, -4.243}, { 24.967185307179587`, -4.251}, {25.158185307179586`, -4.264}, { 25.191185307179587`, -4.265}, {25.229185307179588`, -4.265}, { 25.357185307179588`, -4.243}, {25.174185307179584`, -4.144}, { 25.009185307179585`, -4.088}, {24.955185307179587`, -4.069}, { 24.775185307179587`, -4.005}, {24.736185307179586`, -3.99}, { 24.684185307179586`, -3.97}, {24.615185307179587`, -3.943}, { 24.427185307179585`, -3.866}, {24.389185307179588`, -3.85}, { 24.341185307179586`, -3.828}, {24.277185307179586`, -3.8}, { 24.195185307179585`, -3.763}, {24.003185307179585`, -3.674}, { 23.967185307179587`, -3.657}, {23.921185307179588`, -3.635}, { 23.862185307179587`, -3.607}, {23.786185307179586`, -3.57}, { 23.688185307179587`, -3.523}, {23.504185307179586`, -3.436}, { 23.462185307179585`, -3.416}, {23.409185307179587`, -3.392}, { 23.340185307179585`, -3.361}, {23.252185307179587`, -3.322}, { 23.138185307179587`, -3.274}, {22.980185307179585`, -3.212}, { 22.935185307179587`, -3.196}, {22.876185307179586`, -3.175}, { 22.801185307179587`, -3.15}, {22.702185307179587`, -3.12}, { 22.574185307179587`, -3.086}, {22.406185307179587`, -3.049}, { 22.356185307179587`, -3.04}, {22.292185307179587`, -3.029}, { 22.209185307179588`, -3.018}, {22.098185307179584`, -3.006}, { 21.949185307179587`, -2.997}, {21.731185307179587`, -2.995}, { 21.685185307179587`, -2.996}, {21.624185307179587`, -2.998}, { 21.544185307179585`, -3.003}, {21.438185307179587`, -3.011}, { 21.295185307179587`, -3.026}, {21.098185307179584`, -3.052}, { 20.787185307179584`, -3.1}, {20.747185307179585`, -3.107}, { 20.694185307179588`, -3.115}, {20.624185307179587`, -3.127}, { 20.531185307179584`, -3.141}, {20.409185307179584`, -3.16}, { 20.243185307179587`, -3.183}, {20.017185307179588`, -3.208}, { 19.703185307179588`, -3.225}, {19.395185307179588`, -3.217}, { 19.211185307179587`, -3.199}, {19.167185307179587`, -3.193}, { 19.110185307179584`, -3.184}, {19.036185307179586`, -3.17}, { 18.939185307179585`, -3.15}, {18.812185307179586`, -3.118}, { 18.645185307179588`, -3.067}, {18.425185307179586`, -2.983}, { 18.136185307179588`, -2.845}, {17.867185307179586`, -2.688}, { 17.787185307179584`, -2.636}, {17.703185307179588`, -2.579}, { 17.614185307179586`, -2.517}, {17.521185307179586`, -2.448}, { 17.422185307179586`, -2.373}, {17.320185307179585`, -2.291}, { 17.213185307179586`, -2.202}, {17.101185307179584`, -2.106}, { 16.984185307179587`, -2.003}, {16.858185307179586`, -1.888}, { 16.823185307179585`, -1.855}, {16.778185307179584`, -1.812}, { 16.720185307179584`, -1.757}, {16.646185307179586`, -1.686}, { 16.554185307179587`, -1.597}, {16.435185307179587`, -1.479}, { 16.286185307179586`, -1.328}, {16.101185307179584`, -1.139}, { 15.875185307179587`, -0.907}, {15.603185307179587`, -0.629}, { 15.376185307179586`, -0.401}, {15.313185307179586`, -0.338}, { 15.247185307179587`, -0.275}, {15.181185307179586`, -0.211}, { 15.113185307179586`, -0.147}, {15.044185307179585`, -0.083}, { 14.974185307179587`, -0.019}, {14.818185307179586`, 0.119}, { 14.788185307179587`, 0.145}, {14.750185307179587`, 0.177}, { 14.703185307179586`, 0.216}, {14.645185307179586`, 0.263}, { 14.573185307179585`, 0.319}, {14.487185307179587`, 0.385}, { 14.384185307179587`, 0.459}, {14.264185307179586`, 0.539}, { 14.129185307179586`, 0.62}, {13.983185307179586`, 0.695}, { 13.783185307179586`, 0.772}, {13.749185307179587`, 0.781}, { 13.708185307179587`, 0.79}, {13.663185307179585`, 0.798}, { 13.614185307179586`, 0.801}, {13.566185307179587`, 0.798}, { 13.647185307179587`, 0.505}, {13.774185307179586`, 0.395}, { 13.911185307179586`, 0.286}, {14.154185307179587`, 0.106}, { 14.288185307179587`, 0}, {14.421185307179586`, -0.117}, { 14.547185307179586`, -0.242}, {14.577185307179587`, -0.274}, { 14.694185307179586`, -0.409}, {14.720185307179586`, -0.442}, { 14.754185307179586`, -0.486}, {14.862185307179587`, -0.636}, { 14.889185307179586`, -0.676}, {14.922185307179586`, -0.729}, { 15.013185307179587`, -0.883}, {15.035185307179587`, -0.922}, { 15.061185307179587`, -0.974}, {15.093185307179587`, -1.042}, { 15.157185307179587`, -1.194}, {15.173185307179587`, -1.238}, { 15.191185307179586`, -1.296}, {15.212185307179587`, -1.372}, { 15.241185307179586`, -1.538}, {15.245185307179586`, -1.586}, { 15.246185307179585`, -1.647}, {15.241185307179586`, -1.727}, { 15.205185307179587`, -1.887}, {15.188185307179586`, -1.933}, { 15.159185307179586`, -1.992}, {15.113185307179586`, -2.069}, { 14.983185307179586`, -2.223}, {14.945185307179587`, -2.259}, { 14.890185307179586`, -2.306}, {14.810185307179585`, -2.368}, { 14.689185307179587`, -2.451}, {14.447185307179586`, -2.587}, { 14.408185307179586`, -2.606}, {14.357185307179586`, -2.63}, { 14.286185307179586`, -2.662}, {14.188185307179587`, -2.704}, { 14.049185307179586`, -2.758}, {13.842185307179587`, -2.825}, { 13.523185307179586`, -2.901}, {13.314185307179585`, -2.931}, { 13.210185307179586`, -2.939}, {13.094185307179586`, -2.944}, { 12.966185307179586`, -2.943}, {12.764185307179586`, -2.929}, { 12.717185307179587`, -2.923}, {12.657185307179585`, -2.914}, { 12.576185307179585`, -2.9}, {12.469185307179586`, -2.876}, { 12.324185307179587`, -2.837}, {12.126185307179586`, -2.769}, { 11.852185307179585`, -2.648}, {11.582185307179586`, -2.499}, { 11.498185307179586`, -2.447}, {11.409185307179587`, -2.388}, { 11.313185307179587`, -2.322}, {11.210185307179586`, -2.247}, { 11.099185307179585`, -2.163}, {10.980185307179585`, -2.069}, { 10.853185307179587`, -1.962}, {10.717185307179587`, -1.844}, { 10.571185307179586`, -1.711}, {10.415185307179586`, -1.564}, { 10.249185307179587`, -1.401}, {10.071185307179586`, -1.223}, { 9.883185307179586, -1.03}, {9.684185307179586, -0.822}, { 9.474185307179585, -0.602}, {9.253185307179587, -0.372}, { 9.024185307179586, -0.136}, {8.787185307179586, 0.102}, { 8.542185307179587, 0.336}, {8.292185307179587, 0.56}, { 8.039185307179586, 0.767}, {7.785185307179586, 0.954}, { 7.566185307179586, 1.095}, {7.529185307179587, 1.117}, { 7.481185307179587, 1.144}, {7.421185307179586, 1.177}, { 7.344185307179586, 1.217}, {7.248185307179586, 1.263}, { 7.130185307179586, 1.314}, {6.982185307179586, 1.368}, { 6.802185307179586, 1.42}, {6.586185307179586, 1.461}, { 6.332185307179587, 1.48}, {6.041185307179586, 1.463}, { 5.716185307179586, 1.398}, {5.364185307179586, 1.284}, { 4.991185307179586, 1.129}, {4.598185307179586, 0.965}, { 4.312185307179586, 0.872}, {4.283185307179586, 0.865}, { 4.266185307179587, 0.862}, {3.990185307179586, 0.821}, { 3.675185307179586, 0.839}, {3.4311853071795864`, 0.899}, { 3.240185307179586, 0.97}, {3.090185307179586, 1.039}, { 2.9711853071795864`, 1.099}, {2.8791853071795863`, 1.15}, { 2.8061853071795864`, 1.192}, {2.7491853071795864`, 1.226}, { 2.7051853071795864`, 1.252}, {2.6701853071795862`, 1.273}, { 2.321185307179586, 1.496}, {2.0421853071795866`, 1.677}, { 1.8261853071795864`, 1.813}, {1.6611853071795863`, 1.912}, { 1.5341853071795866`, 1.984}, {1.4371853071795861`, 2.037}, { 1.362185307179586, 2.076}, {1.3051853071795865`, 2.104}, { 1.261185307179586, 2.125}, {1.1091853071795859`, 2.193}, { 0.8261853071795864, 2.297}, {0.628185307179586, 2.349}, { 0.4881853071795863, 2.374}, {0.3891853071795861, 2.385}, { 0.31718530717958604`, 2.389}, {0.26518530717958644`, 2.389}, { 0.05418530717958614, 2.369}, {-0.058814692820413406`, 2.341}, {-0.1368146928204137, 2.315}, {-0.19781469282041364`, 2.293}, {-0.2488146928204138, 2.276}, {-0.2928146928204134, 2.262}, {-0.33081469282041365`, 2.252}, {-0.3628146928204137, 2.244}, {-0.6948146928204135, 2.182}, {-1.0268146928204134`, 2.127}, {-1.3758146928204136`, 2.072}, {-1.7048146928204142`, 2.034}, {-1.993814692820413, 2.024}, {-2.2378146928204146`, 2.041}, {-2.437814692820414, 2.074}, {-2.5988146928204134`, 2.116}, {-2.725814692820414, 2.157}, {-2.8258146928204138`, 2.196}, {-2.9028146928204137`, 2.229}, {-2.9638146928204137`, 2.258}, {-3.009814692820413, 2.281}, {-3.0458146928204144`, 2.3}, {-3.2828146928204145`, 2.44}, {-3.4288146928204135`, 2.545}, {-3.5408146928204136`, 2.642}, {-3.607814692820414, 2.796}, {-3.5218146928204135`, 2.815}, {-3.3468146928204145`, 2.803}, {-3.062814692820414, 2.771}, {-2.7688146928204134`, 2.748}, {-2.6738146928204145`, 2.745}, {-2.570814692820413, 2.744}, {-2.4608146928204135`, 2.745}, {-2.3418146928204138`, 2.75}, {-2.2138146928204137`, 2.759}, {-2.0748146928204143`, 2.771}, {-1.924814692820414, 2.789}, {-1.7608146928204143`, 2.811}, {-1.581814692820414, 2.837}, {-1.3868146928204137`, 2.866}, {-1.1728146928204142`, 2.896}, {-0.9368146928204135, 2.923}, {-0.6758146928204134, 2.941}, {-0.38781469282041403`, 2.944}, {-0.06881469282041408, 2.919}, {0.28318530717958623`, 2.853}, {0.668185307179586, 2.735}, {0.8581853071795864, 2.658}, { 0.942185307179586, 2.621}, {1.027185307179586, 2.581}, { 1.1131853071795863`, 2.538}, {1.200185307179586, 2.493}, { 1.2891853071795865`, 2.445}, {1.378185307179586, 2.395}, { 1.4681853071795858`, 2.342}, {1.559185307179586, 2.288}, { 1.6511853071795866`, 2.231}, {1.7441853071795865`, 2.172}, { 1.838185307179586, 2.111}, {1.9321853071795863`, 2.05}, { 2.027185307179586, 1.986}, {2.1221853071795866`, 1.923}, { 2.218185307179586, 1.858}, {2.3141853071795864`, 1.794}, { 2.410185307179586, 1.73}, {2.5071853071795864`, 1.666}, { 2.6041853071795864`, 1.604}, {2.7011853071795864`, 1.543}, { 2.7981853071795864`, 1.483}, {2.8951853071795863`, 1.427}, { 2.993185307179586, 1.372}, {3.090185307179586, 1.322}, { 3.1891853071795864`, 1.274}, {3.2871853071795862`, 1.231}, { 3.3861853071795864`, 1.192}, {3.485185307179586, 1.158}, { 3.586185307179586, 1.13}, {3.687185307179586, 1.107}, { 3.7901853071795863`, 1.09}, {3.8941853071795864`, 1.079}, { 4.001185307179586, 1.075}, {4.110185307179586, 1.079}, { 4.222185307179586, 1.089}, {4.339185307179586, 1.107}, { 4.460185307179586, 1.133}, {4.5871853071795865`, 1.166}, { 4.717185307179586, 1.204}, {4.860185307179586, 1.251}, { 5.013185307179587, 1.303}, {5.178185307179586, 1.359}, { 5.358185307179586, 1.417}, {5.556185307179586, 1.474}, { 5.774185307179586, 1.523}, {6.017185307179586, 1.557}, { 6.283185307179586, 1.566}, {6.5871853071795865`, 1.537}, { 6.927185307179586, 1.454}, {7.306185307179586, 1.297}, { 7.386185307179586, 1.255}, {7.468185307179587, 1.21}, { 7.552185307179586, 1.16}, {7.637185307179586, 1.107}, { 7.724185307179586, 1.05}, {7.812185307179586, 0.989}, { 7.902185307179586, 0.924}, {7.9941853071795865`, 0.855}, { 8.086185307179587, 0.781}, {8.180185307179586, 0.704}, { 8.275185307179587, 0.624}, {8.371185307179587, 0.539}, { 8.469185307179586, 0.451}, {8.567185307179585, 0.36}, { 8.666185307179585, 0.266}, {8.766185307179587, 0.169}, { 8.867185307179586, 0.069}, {8.969185307179586, -0.033}, { 9.070185307179585, -0.136}, {9.172185307179586, -0.241}, { 9.275185307179587, -0.348}, {9.377185307179586, -0.455}, { 9.479185307179586, -0.562}, {9.582185307179586, -0.669}, { 9.683185307179587, -0.776}, {9.785185307179585, -0.882}, { 9.886185307179586, -0.986}, {9.986185307179586, -1.09}, { 10.086185307179587`, -1.191}, {10.184185307179586`, -1.29}, { 10.282185307179587`, -1.386}, {10.378185307179585`, -1.48}, { 10.474185307179585`, -1.571}, {10.568185307179586`, -1.659}, { 10.661185307179586`, -1.744}, {10.753185307179585`, -1.825}, { 10.843185307179585`, -1.903}, {10.932185307179587`, -1.977}, { 11.019185307179587`, -2.047}, {11.104185307179586`, -2.114}, { 11.188185307179587`, -2.177}, {11.271185307179586`, -2.237}, { 11.352185307179585`, -2.293}, {11.431185307179586`, -2.345}, { 11.707185307179586`, -2.51}, {12.049185307179586`, -2.669}, { 12.351185307179586`, -2.768}, {12.619185307179587`, -2.821}, { 12.855185307179585`, -2.841}, {13.063185307179587`, -2.837}, { 13.247185307179587`, -2.817}, {13.410185307179585`, -2.786}, { 13.554185307179587`, -2.747}, {13.682185307179587`, -2.705}, { 13.796185307179586`, -2.66}, {13.898185307179586`, -2.612}, { 13.989185307179586`, -2.565}, {14.244185307179587`, -2.393}, { 14.458185307179587`, -2.171}, {14.570185307179587`, -1.966}, { 14.618185307179587`, -1.774}, {14.623185307179586`, -1.592}, { 14.597185307179586`, -1.42}, {14.550185307179586`, -1.258}, { 14.488185307179586`, -1.104}, {14.416185307179585`, -0.96}, { 14.337185307179587`, -0.826}, {14.254185307179586`, -0.7}, { 14.168185307179586`, -0.584}, {14.081185307179586`, -0.477}, { 13.995185307179586`, -0.379}, {13.909185307179587`, -0.288}, { 13.825185307179586`, -0.206}, {13.743185307179587`, -0.13}, { 13.663185307179585`, -0.062}, {13.586185307179587`, 0.001}, { 13.416185307179585`, 0.126}, {13.102185307179585`, 0.321}, { 12.857185307179586`, 0.455}, {12.673185307179587`, 0.559}, { 12.545185307179587`, 0.653}, {12.470185307179587`, 0.746}, { 12.446185307179586`, 0.84}, {12.478185307179587`, 0.935}, { 12.571185307179586`, 1.027}, {12.734185307179587`, 1.103}, { 12.983185307179586`, 1.143}, {13.338185307179586`, 1.106}, { 13.423185307179587`, 1.084}, {13.514185307179586`, 1.056}, { 13.610185307179586`, 1.02}, {13.712185307179587`, 0.977}, { 13.820185307179585`, 0.925}, {13.934185307179586`, 0.864}, { 14.055185307179586`, 0.793}, {14.182185307179587`, 0.71}, { 14.315185307179586`, 0.616}, {14.455185307179587`, 0.51}, { 14.602185307179587`, 0.392}, {14.755185307179586`, 0.261}, { 14.914185307179586`, 0.118}, {15.079185307179586`, -0.037}, { 15.249185307179586`, -0.203}, {15.425185307179586`, -0.378}, { 15.604185307179586`, -0.562}, {15.788185307179587`, -0.752}, { 15.974185307179587`, -0.946}, {16.16318530717959, -1.141}, { 16.35218530717959, -1.336}, {16.543185307179584`, -1.526}, { 16.732185307179584`, -1.711}, {16.920185307179587`, -1.887}, { 17.106185307179587`, -2.054}, {17.289185307179586`, -2.208}, { 17.469185307179586`, -2.351}, {17.644185307179587`, -2.48}, { 17.815185307179586`, -2.595}, {17.981185307179587`, -2.697}, { 18.141185307179587`, -2.786}, {18.296185307179584`, -2.862}, { 18.445185307179585`, -2.927}, {18.589185307179584`, -2.981}, { 18.726185307179584`, -3.025}, {18.859185307179587`, -3.061}, { 18.986185307179586`, -3.088}, {19.108185307179586`, -3.109}, { 19.22418530717959, -3.124}, {19.336185307179587`, -3.134}, { 19.442185307179585`, -3.139}, {19.545185307179587`, -3.141}, { 19.643185307179586`, -3.14}, {19.736185307179586`, -3.136}, { 20.15118530717959, -3.091}, {20.489185307179586`, -3.03}, { 20.768185307179586`, -2.97}, {21.001185307179586`, -2.918}, { 21.198185307179585`, -2.875}, {21.368185307179587`, -2.841}, { 21.515185307179586`, -2.815}, {21.645185307179588`, -2.794}, { 21.759185307179585`, -2.779}, {21.861185307179586`, -2.767}, { 22.166185307179585`, -2.751}, {22.454185307179586`, -2.765}, { 22.656185307179587`, -2.795}, {22.807185307179587`, -2.831}, { 22.922185307179586`, -2.865}, {23.012185307179585`, -2.896}, { 23.082185307179586`, -2.922}, {23.137185307179585`, -2.944}, { 23.180185307179585`, -2.962}, {23.334185307179585`, -3.031}, { 23.475185307179586`, -3.099}, {23.618185307179587`, -3.171}, { 23.767185307179588`, -3.248}, {23.919185307179585`, -3.326}, { 24.077185307179587`, -3.406}, {24.238185307179585`, -3.484}, { 24.404185307179585`, -3.56}, {24.573185307179585`, -3.631}, { 24.745185307179586`, -3.697}, {24.919185307179585`, -3.756}, { 25.094185307179586`, -3.808}, {25.269185307179587`, -3.851}, { 25.444185307179588`, -3.887}, {25.617185307179586`, -3.914}, { 25.788185307179585`, -3.935}, {25.955185307179587`, -3.95}, { 26.120185307179586`, -3.959}, {26.281185307179587`, -3.964}, { 26.437185307179586`, -3.967}, {26.589185307179587`, -3.968}, { 26.736185307179586`, -3.968}, {26.879185307179586`, -3.968}, { 27.017185307179588`, -3.968}, {27.151185307179585`, -3.97}, { 27.279185307179585`, -3.974}, {27.404185307179585`, -3.98}, { 27.523185307179585`, -3.987}, {27.639185307179588`, -3.997}, { 27.750185307179585`, -4.01}, {27.857185307179588`, -4.024}, { 27.960185307179586`, -4.041}, {28.059185307179586`, -4.059}, { 28.154185307179585`, -4.079}, {28.245185307179586`, -4.101}, { 28.645185307179585`, -4.223}, {28.947185307179588`, -4.347}, { 29.147185307179587`, -4.45}, {29.143185307179586`, -4.542}, { 28.899185307179586`, -4.504}, {28.611185307179586`, -4.455}, { 28.514185307179588`, -4.44}, {28.410185307179585`, -4.425}, { 28.297185307179586`, -4.412}, {28.176185307179587`, -4.399}, { 28.045185307179587`, -4.389}, {27.904185307179585`, -4.381}, { 27.753185307179585`, -4.377}, {27.590185307179585`, -4.377}, { 27.417185307179587`, -4.381}, {27.231185307179587`, -4.389}, { 27.032185307179585`, -4.401}, {26.819185307179588`, -4.417}, { 26.591185307179586`, -4.434}, {26.348185307179588`, -4.45}, { 26.089185307179587`, -4.461}, {25.813185307179587`, -4.464}, { 25.520185307179585`, -4.453}, {25.210185307179586`, -4.422}, { 24.882185307179586`, -4.368}, {24.535185307179585`, -4.287}, { 24.167185307179587`, -4.177}, {23.777185307179586`, -4.042}, { 23.473185307179588`, -3.931}, {23.388185307179587`, -3.9}, { 23.301185307179587`, -3.868}, {23.212185307179585`, -3.836}, { 23.123185307179586`, -3.805}, {23.031185307179587`, -3.773}, { 22.937185307179586`, -3.742}, {22.842185307179587`, -3.711}, { 22.745185307179586`, -3.682}, {22.645185307179585`, -3.653}, { 22.544185307179585`, -3.626}, {22.440185307179586`, -3.6}, { 22.334185307179585`, -3.576}, {22.225185307179586`, -3.555}, { 22.113185307179585`, -3.535}, {21.997185307179585`, -3.519}, { 21.878185307179585`, -3.505}, {21.756185307179585`, -3.494}, { 21.629185307179586`, -3.487}, {21.498185307179586`, -3.483}, { 21.363185307179585`, -3.483}, {21.222185307179586`, -3.486}, { 21.077185307179587`, -3.492}, {20.925185307179586`, -3.502}, { 20.768185307179586`, -3.513}, {20.605185307179585`, -3.526}, { 20.436185307179585`, -3.54}, {20.260185307179587`, -3.552}, { 20.079185307179586`, -3.562}, {19.891185307179587`, -3.567}, { 19.697185307179588`, -3.565}, {19.498185307179586`, -3.555}, { 19.295185307179587`, -3.534}, {19.089185307179584`, -3.501}, { 18.880185307179588`, -3.454}, {18.672185307179586`, -3.393}, { 18.464185307179584`, -3.317}, {18.260185307179587`, -3.229}, { 18.060185307179587`, -3.13}, {17.867185307179586`, -3.023}, { 17.681185307179586`, -2.91}, {17.505185307179588`, -2.796}, { 17.339185307179584`, -2.682}, {17.184185307179586`, -2.573}, { 17.041185307179585`, -2.471}, {16.909185307179584`, -2.378}, { 16.789185307179586`, -2.295}, {16.680185307179585`, -2.225}, { 16.582185307179586`, -2.166}, {16.389185307179588`, -2.079}, { 16.074185307179587`, -2.103}, {15.916185307179585`, -2.193}, { 15.833185307179587`, -2.244}, {15.733185307179586`, -2.301}, { 15.609185307179587`, -2.366}, {15.455185307179587`, -2.44}, { 15.258185307179586`, -2.525}, {15.001185307179586`, -2.626}, { 14.667185307179587`, -2.748}, {14.470185307179586`, -2.813}, { 14.376185307179586`, -2.843}, {14.276185307179587`, -2.873}, { 14.168185307179586`, -2.903}, {14.054185307179587`, -2.933}, { 13.930185307179586`, -2.962}, {13.798185307179587`, -2.99}, { 13.656185307179587`, -3.015}, {13.504185307179586`, -3.035}, { 13.339185307179587`, -3.049}, {13.162185307179586`, -3.055}, { 12.972185307179586`, -3.048}, {12.767185307179586`, -3.026}, { 12.546185307179586`, -2.984}, {12.310185307179587`, -2.917}, { 12.057185307179587`, -2.821}, {11.789185307179586`, -2.69}, { 11.505185307179588`, -2.522}, {11.208185307179587`, -2.314}, { 10.899185307179586`, -2.067}, {10.581185307179586`, -1.784}, { 10.344185307179586`, -1.558}, {10.279185307179587`, -1.495}, { 10.214185307179587`, -1.43}, {10.149185307179586`, -1.365}, { 10.084185307179586`, -1.299}, {10.019185307179587`, -1.233}, { 9.954185307179586, -1.167}, {9.889185307179586, -1.1}, { 9.825185307179586, -1.033}, {9.760185307179587, -0.966}, { 9.696185307179586, -0.899}, {9.632185307179586, -0.832}, { 9.568185307179586, -0.765}, {9.505185307179586, -0.699}, { 9.442185307179585, -0.633}, {9.379185307179586, -0.567}, { 9.071185307179586, -0.251}, {8.776185307179587, 0.042}, { 8.495185307179586, 0.305}, {8.231185307179587, 0.532}, { 7.984185307179587, 0.725}, {7.755185307179586, 0.884}, { 7.543185307179586, 1.011}, {7.347185307179586, 1.11}, { 7.168185307179586, 1.185}, {7.003185307179586, 1.239}, { 6.852185307179586, 1.275}, {6.714185307179586, 1.297}, { 6.5871853071795865`, 1.307}, {6.472185307179586, 1.308}, { 6.366185307179586, 1.302}, {6.2681853071795866`, 1.289}, { 5.8931853071795866`, 1.177}, {5.653185307179586, 1.037}, { 5.507185307179586, 0.9}, {5.4301853071795865`, 0.777}, { 5.407185307179586, 0.667}, {5.428185307179586, 0.571}, { 5.487185307179586, 0.488}, {5.582185307179587, 0.418}, { 5.709185307179586, 0.36}, {5.870185307179586, 0.312}, { 6.067185307179586, 0.269}, {6.304185307179586, 0.221}, { 6.589185307179586, 0.148}, {6.929185307179586, 0.018}, { 7.108185307179586, -0.077}, {7.189185307179586, -0.126}, { 7.272185307179586, -0.182}, {7.357185307179586, -0.244}, { 7.444185307179586, -0.313}, {7.533185307179586, -0.389}, { 7.622185307179587, -0.474}, {7.711185307179586, -0.568}, { 7.800185307179586, -0.67}, {7.888185307179587, -0.782}, { 7.972185307179586, -0.904}, {8.050185307179586, -1.034}, { 8.121185307179587, -1.175}, {8.181185307179586, -1.324}, { 8.224185307179587, -1.484}, {8.245185307179586, -1.652}, { 8.234185307179587, -1.83}, {8.178185307179586, -2.02}, { 8.055185307179586, -2.221}, {7.8291853071795865`, -2.437}, { 7.6721853071795865`, -2.542}, {7.591185307179586, -2.587}, { 7.500185307179587, -2.631}, {7.399185307179586, -2.674}, { 7.286185307179586, -2.716}, {7.160185307179586, -2.753}, { 7.017185307179586, -2.786}, {6.858185307179586, -2.811}, { 6.678185307179586, -2.824}, {6.475185307179586, -2.82}, { 6.247185307179587, -2.793}, {5.990185307179586, -2.734}, { 5.700185307179586, -2.632}, {5.375185307179586, -2.473}, { 5.114185307179586, -2.314}, {5.0391853071795865`, -2.264}, { 4.963185307179586, -2.21}, {4.8851853071795865`, -2.154}, { 4.806185307179586, -2.094}, {4.726185307179586, -2.031}, { 4.644185307179586, -1.965}, {4.560185307179586, -1.895}, { 4.476185307179586, -1.822}, {4.390185307179586, -1.746}, { 4.302185307179586, -1.667}, {4.214185307179586, -1.586}, { 4.124185307179586, -1.501}, {4.034185307179586, -1.413}, { 3.9401853071795863`, -1.322}, {3.848185307179586, -1.229}, { 3.7541853071795863`, -1.135}, {3.660185307179586, -1.038}, { 3.5651853071795863`, -0.94}, {3.469185307179586, -0.841}, { 3.373185307179586, -0.74}, {3.2771853071795864`, -0.639}, { 3.180185307179586, -0.538}, {3.083185307179586, -0.436}, { 2.986185307179586, -0.335}, {2.889185307179586, -0.234}, { 2.792185307179586, -0.134}, {2.695185307179586, -0.036}, { 2.599185307179586, 0.061}, {2.5031853071795864`, 0.156}, { 2.4081853071795862`, 0.249}, {2.3141853071795864`, 0.339}, { 2.2201853071795865`, 0.427}}]], LineBox[CompressedData[" 1:eJxFWndck1cbDSsJEEIWQ0CM7KWyhwj3gru4J1XqQD+liqPWLSqtWnfde+89 i0hd99a6pRYVt4K4EAVkQ5gfeZ8nlH/45Zfkvfc+4zznnJu2iVMG/M9YJBL5 mopE+v/Hd16YmcEj+DzN6e55czV01No/4gKOR/Bu6eUN2bM11Fsy7WvcnAh+ eMcN7dlpGmpqVDpYOjmC/xRl8ezAVA2903bfnakjI7j4l02dVyZraELHQ84L e0Vw4eV4DZ0wfuiVycER/HZc2PKYURradfRTD1/zCJ5fd6z0UW8NFfvNTs6r D+c9mhc/3V1DCx6qA4yLwvnPSeuKUoiGPnHN7Lv0eTjvk6iIjwjW0MPdjvQU Hwjnx5u/najQUPnzjbe6bg3nT2YXeARINbTI02VE2opwfnZa8wPq1TTxcsdE iznhPDK37+otxWq60u6emygxnMeO+pjl8kpN6wdl1x0IDOfC6U+r6a7tK77t 8wznzZv9mLVfDedvFc5rF0y4Mn2Dmi6aeOreDnE4F+n/UtX0Xi+v3J7FYbyX /nj/U9Pp0XV+J6+FwfPaq6nt4nPa43+E8UHvDzVHUE2TOmUd2nQoDPevptf3 Wi75uD6MC9vRqajFr79t2zA3jCesuV7p9VoF5+0cxscKB1DRHVNMXtwJD+P6 6EetUNEYyzu62b74/TkqOv+L3VKFg2E/Kpq8PudRd5MwPp+EjLjUU0X3lWx1 GvQxlFc0Z7fAQ0UdXrLeCedCIX+FStxfKOTrrZLuuakUz9scysOEgCip/Znw sEW/hnIh/VeVtHS+/8pxSaH82h6HDm8OKmmHZZIOz7qG8ks9Zca+S5V0dWz/ yBeKUC6kdzQ+3yyUewZITzoNU9Jxyp5rrlSF8AEZzku+9lfSoBybhOXvQ7Ae lHRbl5Tr3+6GcP2nx0YqqW+gzsj9aAi/O1O/opJuaVV5wnZeCKzvpqQRI0/s 0fQL4RFpd2Zea6OkOu/eH+91DuFtmp+e4aykywtj5Z5B/70/zNpZerh1COZH ScOC3ZZHGoVA/l2U1O3cmGvbXgVzbyEhSqjfY8FYj0qa9vP3+ZUTgnnNwOYH dFHSyBWB6UUjglv2/3GemWm/vsH8/K5vR27FKSG/HYNbzrtm0vP+59sE8zJ9 OcQr6df67d1f1QVx4bgjlXRT8aRNUZlBfJzwh69XBfGd+nZMwv30DOL6bgkZ oaQb/v60YGxUENT3cCXUZ/sgri8Xi6FK2jm0r2KAQxBvTo7tiz5K6mTWfWyI KIi/cdNXgJLmH17l4J0TyIVw+Ctpnnv1013nArFelfTFnJcpETMDsX8UVGHi 9MbZM5AL5btAAfHLC+D6bjzppID6eRrAhfKTKaBe7gTwwv76AFjD89IDeCvT IfJ2562hf3YHcKE8xlrD/lIDsD/kUP/xAdDPk+VQz+4BsN+zVlCf7/z5In5v X9d0GZ3H1k4NW+nPm7PVnHFLuvSvy9W9u/hzoRyWWEA8OvrjehaAP+38sd4s IP+O/ogvFli//jxReKA5XXH9ZO8hjzogfppT+aJZ33Ys64D1Y067hdFxw7w6 8ObNqhZxKS1uWLnr/bH2mC8pnZzUQzXLuD3/Tt8utlLa730CvzamHa4npU91 IWvSq/1a3j/qpFwe8s4P4yul1ypzU5ff9MP1pHTatSHEe68f32CvD6iU/m5/ ea50qh+eR0qPd9+6Rx7gx1sP0yOKlHYatbPSKccX8VtKpxe8GWw8xZff1JfX Oil9dMAz0fSlD+ZHSrXi8EtRch+Mt5Teq7aQ7s3x5i8eVDd3gJS6JXTL/3bC G/FSSvfvmNf1+AxvwOMUKX3Qu1XIgE7e2P9SurZz7Lq8Ri/sZyn9nFL1ffxV L17lpW84Cc2avTfON84L8yehPRJvpwSFeWH8JLB/Zy/AoygJfL/BE+tVQg+X Lp+W8NgT8UtMXQJYlu0uT8yXmFYtaJs3eYgnv99cLeUNZjTNuZOiV50HxscM 4rvEA/vVlH7qP6XzwmJ3LozHAmO6OMbO4v7/3Lm7EEAjOlPzv+RXUe6IJ0aw vtod4yWil/Y8HPgs340/1rd7hIjK4kueX//TDePTRNJ7/u3hvsIN99dIdnad ZF8z1I03N1dzQBuIUB+ubrxePz4T68mwS6KA+iJXxJc6IsT7gitv1MN7QC0R zjPPFetHR9bp4x3tyvXZsTetISemtUnPb3LBeFeR63HFpyIPuPAOAiBUksgQ m9zOa1x4M1o0Z7iS7BPy6YLxqiC9M54c+zjIhf+rT/+OCmLR7sfrBT4uiJcV 5Lfk3dqDFW15l5XJzSO/nBj90itpyZm2mO9yUinEvy3mp4wcEepbi/1SRp67 XT20ppsW+UM5eXAg57fGhDY4XyqIy9LFLn83OOP+m9e7PmZav03OGK9KUjs4 ZeZhV2c8bxUZqyo1Z0daA/7vqSJrt0ner27TGvGvmviN8NogWubE9dW+61s1 +fzo8gnTHEes5xoyc4LPtaXOjjg/dWT3rT9T53d3wH7RkcT8H8s/xrfCftGR 1JgH7W96tUJ+oSOxYdUrBn2151NUeoTSEYvTF3ymbLfnJc3ZC1uuI9qEBssv 7e0x3jpy/M4Hyca9drytUCA1xDlgZqXirS3Gt4acn26UWPPKBuZRWhXpJd9R t26Ghv+lh7/ycvLWY0//vS6alnhnu02/t/yuGuu5jHhJHcb1maDG+VNKqpom 9awwU/Oj+u3ElOD+VIjfxRA/TxXW21fY72kl1vNnYtpOm/++nZLv15dH9gdi u+T7HScPKvgMAZDySPKG33p/p1Hwrfr03ntBDpa/GD+6Us4PTtV3cBa58eDx p/vnrIAv5F0iNKPWLvsHGRfa/9oZ1kVu3vW3OgsulPOLByxJs+Ll3d/MEc9f MfulZRMvmkj5QiHhH9igcbG6PtPEXEjnkS9s8eRim2NPTfF1CTu5p+qvm/4m fHNnfYGWs/qhNt3P/WqE87ua3Tmy4CfpviYG/LeW+b//4a9N4fUM+HEDW+sc pXTNqmGAvyKe+chsWd6USgbz2Yh3ueL3Z4FjGYN6NeZ7j4RueZFRxByFBjPh GSdWHRJPzGeILzxr8fBdw/rkMZh3pnzq0FZxVk+fMsAHMy5a4WezJOk6g/lp xlNT9ITvEoP9N78vAPZxBvEWc5G0seajaCUBPBLz1F++jEq0vUiChD8xf7vT tNwj7TYBvi3mU2t3P55l85hAP4i5duLrN33+fEV269MdJubxxpcjpx97R4Tx q2p+v0/ZjQvmnwnk04yHD+jx+N3lIiKUZ4IZTxrV7kT/v0uJq9CQpjy4Xe0s 57UVBPZvwuOlFVXLelUTSKcx9/L9t0RysZoA3zXmivrS+0ahNQTiY8yDjX8e 3fWvGgLxMeJbowacexSvI8Jya4x4/ewAo1ElOgLnN+Lahec3H5hXSwAPRDw+ aJ5VomMdAT7VyEzd+wy/4VtHhHK41cCe7wr7tTKojuzV00lxA3PyPvhj6Zta IsDHkFq2dl3I0Mmta4kQrpAatvNafsUPN2sI8OsqtrdgsmXYxhoiwF1pFfM/ OTZ4g6uOCONktY4tXmORNbSLjsA8q2XJ6ZHPTUbrCOBbA4N46Aj0dyOD/eow X01MO8g39d7J5r4X+k/EYb/VBPDGiCcsX95R82cV7t+Ydzq95vKx+ko8vzGH 81RAOxub8LMxR1mTRTkp1o/TSyY8a0Iv79LP3wjgoylftvyhpvO+LwT4hBmf umSe2PbbZ8yHGT+r+Fyk3PaJGOoz62tecsrg9wTwrrkePzuqT/38hgj0I9eM 0xMBh24c+Bfz1/waBBIDPmXG9468OX58x0cM+F3z8y82Ovqfe87g/GZcMa2H V+DrXCbQlXxTPqp7/1vpb94z6H9TfrZpStz+Dp+ZQAcsTPnRgQNLoyoK8Xkm /MPT4ZvlLqVsjkCgjPna8gu1PY0qGdSDEV82TXvx2sZKXM+In+ztEOrdv4oB /or4wZkzb37tVs1gHoi4JlfyR9JvNQzwRsQLTzWJe/nVMsCvRmZvseZuzOB6 BvO3gWlll/rFt2/C79eyhKhPP65KMQI9Z1HNBq27a+0VY4Lzt5x1iVg7fOQ9 E95PGIhlTDqMPrg93BT0YUIpS97UxnlwuSnOgxL2+sj+nDabzDjks4hpg6xv OTb3NcT7CwsP+192j1Ix8qPPLEE1cuAfpyQ4Pz+wKy4XV42fKcX5lccqTtQU 9upujvzmNUuesFWS4maB/OgJK2x6tf6zpSXi7302O/nv39c3WIK+eHAR8VqG fGUvAXyWc8CDG8QvpGPvQHtrnPePYN44KHAev8L5okC9kEcyKjcfWtRDiXrv E7kSd+hRyCclF8Zp1y+k22qzDPFyFb4uxnmq5tAPpaRHxqoHuc/U/J9M/V8Z ub7vj6b8RRr+UC9fJlSQqQUb59YH2ID+yq0k4aMGOtjl2aB+rCZO4m85Yets kV/XENmLTjE9frTjQjv56pB/2LXMb7fzlhE7M+0wPjr4vtIe86Mjz+f+Wh05 3h7PpyM5dXaRtx/bI7+vbeETwG9rSaHXvefpda1w3taSe72zvu/FHMCPENWS 796rP2YcdkT/RkcOdu97Q5rmxAEfa0jCuOwzwwr/4zs3Mjva/jWgDQf8qyQx 6cdd/o3UIh+rICv1+maAlgvtnlEB/G2KtoXvBS6vWZy7QYt8tYLUNaW71V7X ol6tAL7ZqMX8V5CvR+ZPDejVFuupgjid9V698mxb5AeVRGNqFeQZ4oL8o4ok jmu9clSBC+jrGzX4vivWby0BfeCK+qCWCPx6vCvy01oifjZsU9hqV9SDdUTg 51ddOfR/PTE9+XjBiEZXnP8NcJ6BbshPmkiv1X02yG65ob4yAn01yh3r25iW eKnTrmS487/14b1uQh2W7J95Ps8d+ZYpFda38kC+Z0qpEF8P5Cdm9Hx5mm5a sgfySzMqGnKz/8m9Hng+MepDTw7zREy5dvyWRI0nfl9CgW97or8joalfpW/s e3giP5bQTJf1znMmefJJguGGemm3J+oDKd24rd+1Da89kX9JYT9+XljP5qBf Nnjh+cxpUv75B19tvDG/FnTrtxFfu17yRn5tSW07bOwpWuyD9WZJQZ/4oF62 pLNJ4a9pvXwRjyxpcNrCHRmJvtifMtCDC3w52JEyiOc+X8Q3GXw/0xfrV0bf Zr1oKjfyw/3I6KCIiUVTY/ywPmUU9JQf+JH5Mvqyb5crSU/8ED+t4Hmydhhv Of2ir89MP6xXa9j/KT/EY2ua8HFp9ycpfuh/WNPsB6dnv/Hya/E7BD9gvS+f pU//Dwpac+xodXd3X/QLFRDfQh8OfEBBUzbVnhl33Idv36b/U9D4NXMcXEf6 oP+ooGUDt9/bJPEBvXFYgfHwbnkf8u+N8VbQDx6f/Q7v8UL/T4F61hPi4agA vRnhifhoTYV6f+yB+kROVS+WOPU57IHxlNMr9+InnJ1pqFc56OGuHtiPVqhv PdA/sIL957pjPK2o0L/HDPpXRkNzxefX/eSO9SoDfyPMHfm+JcS33q3FrxHq 4Zob+iGW1PnV2QNjF7phvCxQb7thvVrA+XSuqBfMac6hAQUOf7giHpvTb3r/ 5UdX1HdSGiX4B64tfoegd/91afFLBL8ixQX7TwLx8XBBPJFQAc8yDXgmAf9j Ylv0xyU0To8f4rY4XyTgp2zXtvgZgn/grkV/V0J/n5yamdbPgMcS+iHl1IIB 1BnxTEIvaZ2vJNi1bulfAb8fOaKfLqUCvic74HyQ0snXrMa6vrdv6f+Xh8zl NqF2OO/FFPSjLc4jMZ2mcVr3JNUW9yemgn5zM8w7MV285fXwWbcM89GMwvyy Qf1qRhUd4ibXim3w82bUPy2Unz+kQTw1pcEWXYvGdtZgf5lS0LNq3I8JFebb PDVHfUT3ltItQ2zVmH8TOujSxcFVZ1UYb2NaPLD/tzXfqZA/GeN5lThvjfB5 SsR3Ee039phXF7US8yOiaXuWzX54XNGC940nVhyIj1HgfGhEPWqN/d9A4vOf dXqZI8d5V0+0Iza/rrCSox9bRwqzB6VYR1mhv1VLUoviH7WeIEN9rSM9xtpN C99mie/XEMWrJ8qBdyywf6pRD5sjflcR4FvmWG+VJDhvyJHNA6VYjxXkjm5Y w8FUCfZzBQE+J27xWzIyj4688NwM/Ypy5F9myL/KiGzJ7Q97fUyxPsvIHbd3 6gV9TTjomzLiJF12JnaqMfZ/GZF2+PNi8Sqjltf9Ii+/m3FAhPVWRpbtOvLP ljFNDOLT/DxBDzcw8APKyMbpcdFPJtUy6LdykvbgzJy0qzoG86WcJG3xCB/0 vIbBPKkgO7VJWyOOVTMDf3jedNH9oV0V8usKsthJtUJWXY7PqyT1Z3x+TzQr ZYb4ZbXvPfXo2QIGeFBNRPYfCgeseslg3ugInX336ozx2Qz0rY7wf99JF0Xd Z4Z8geGcwSA/OiK6s+fkx8+7Ua81v9++bMq4gpuoz3Tk7LDFB7eXZBM4bw0p yYguPlyWSyA+zbp1Ub+FTTafCPoLZKtsfe6HT4UE5lMlmZ0xbqRDxzJiOL/s 4YQLXuOrCPC5UtJlSZBfvrgO9VchWT/hbd5xmYgKdKT6PZm65lMi7WdEYb7m kHvlbWPXvjGiUC8vyffpdhMLk40p8LmnxPnZ7TeDGo0p+KmPiN2QwO1315lQ wJ/7pHvQ0L3feZpSwO/r5G1mScQHbkpBT50nc8eteDx/mBmF/ExlPUfkpLtW mVGorzTWO63w/ZMNYgr1cIP9lnRh2MYgCa7/gDGnBQ8HPJZQmNfZbMzqy6+8 Z0kpzNcXTKK3LxzNKeBxLjsxObTkWTOugx5/xxZHte9yeawFBf74kUE8LCnw s3y2b8v6hdvTLCnUwxf2waVp3OYRMgrxL2Jepyf2WS+1ohDvEjYx4nnI7+et KOS3lJ250aX1igQ5nqcMP29NgZ9U4OetKfR/JZu2bmFQXAcFRT+OaZ6FePZc rKCAP9Us3anQofsLBQW/RcfiE/fLu7ZXYnxqWe7seW86/aqk0L91bNyaQSeD nyop1FM9KzrUbp6fj4qCv9fAhq32dneer8LzN7Fb093/tc5SURivIt7YMK5D pVZNgW+IeN/0JWlvp6kp4KkRT1Z8+cauqync3xjx5RP6+O5RaSjMRyM+dVyN 07RRGgp4ZcwtROvTLefaUNCHJpyXr1m5+L0trm/G4fz21OBPaV+MOj3yh1ZY X2J+715Q/V+THHA9MV+56UnM7NGOGG8x37JFdPf3jk4YXzF36zDllbLOCeNh xnuvbNwlOdiaAh804ylJrgeXRThTmJ+m/PytN0UbLztTmJcmHOLVBtc34duu L80dv7wN1p8xz4q7S3q/bEOBrxjzTstXRH610lK4DzLiJf2Nald4aTGfIj47 6eWdXztpsV6a9X5dWebz77QU/JJG1kcWJ149UEuB/zcwv4D+S12GaingTx1b PMGs37bBWgr8p5b9lN9lSXVfLQU9WsNezg40DuuqpaCvq9n/PrZqfBuqpTC/ K1lNQ+tB31y1FPq/ghn2i/jKuubmdT7wuQ1FPxfq8Uwb7OdvTORd3PXBlDZU 4IcfC5khPsBfvzAh32+d8fz5TKiH9c64vw8s7HyHw39Q55b+25Q85/yFr60p 6M+37MA2336HNrSmMK9eMchnazz/MxYpjX78vxwnCvMjG+vdCfeTxYT8ujlh fWayK7t+GfHopiMFfncbzpfkiHh2naWVjjWdbOGIeHeNRQXdLIg+5UCBH/7J 8g4YV9j0d6DAJy6wJRraWFjRCvHsPBvxPmxA1vZWuP5ZZmt8NcploKF+zzG/ VytDZqbbUpiH19hScltzq7MNBT13k5ERvUT29WoKeuQ+K+jbps/cVWrM1z94 PjV+/wGbmb96VEOmigIffcyOO/y1wT9VhfX3nM2N2rn6zARDP79hi/X7na6i wI/eskGyjXnr16oo6NH37Lqz3f4fzqta8C9u1Kyl7Z+oKPjbn9iezq1dyytV OB/y2eTIn8TblGoK86+gZb/wugjxRENhnpbifmyonXDBV86MB81IOBJti/Gs ZAKelNli/VexniElUwf/Zof1Uw3Pa7BDPKlm4uOLln+fYI94UsN22W+WORyx p8C3apiAB3n2FO87WMSb9CurrFvheXV43laYHx2brbKZ9dTRkcL8bmBndwx5 djnZEZ9vxKFeHfH8RvxbVto6M50DBb1tzE0X1k9LXe1AwU8ywfdbUQHedpnw I98i5g8NaEVhPptwob7a2WM8TPiQMMeaibm2uJ4Jr055+PXHNBtq8FsFfBlm Q8E/MuYQDw3OEyMO9afBfjfiqpOnFVNDNNjPIp6QcTay+r6aGvxeoX9GqHHe NMF5C1XYT40se9+z5KZZKqzvejb9ivg7t0Ylxq+O3ei5OyP0FyVFfwjqT6RE PK+Gek5RUODDlSz73s3z/+Rb4+tynNdyxONS9rSy193D6VYU7kOL2cWpo2cV b5EhPnxhuqxuPZQ/W2K/fGRZ0y8ucfzOAs/3lk27NGlOqzbmWB/PWM6+H10t yySI75ksbvn//qm/IcbznmO/qo60e7fJDOfnBVKs2//scZIp7v8fMjxv9y83 I00M/UTqPQbP+FthTME/fUssvFPrXxSIKOjXD0T0L2mv+r0J+dpnAv57AwE/ pJCUzBTP7WlXRwAfS8gdh1kXBxbX4H1BKXld3vXMkYdV6MeXkztdG//xu1pB oJ6b+bjgx5cROF8zfxfuL0rwfqKarB01Y0nqiSIC87qGSPcef9+xsoAY7vuk 3+1MXzb0EzHcJ8Y/C3Lf8fIdMeiLfrutlb8W5hDAr1pSkuj/V8Wg53j/Ukf8 i3ceLWl8SHD+kNQ/RwxN3HAb16snoh6hW78OvUhAP9QTGl25srP0Hwb4UU/C Y7L8fx7wnsF69cinixjgax15eyJ7YcjAcgbxrCWyoK/xpnHVyN9rSf3Lcwcj s2sZ9IOO+Ms/PpssacT7Mh3ZuGPvH1sXiFC/6Yjb8tbl/7w2arlfDZflXJ3i YtLiZ+7ddb/jmaGmeL+pI165vtrUuWbof9SiPhG33IeDHy7B+/h60mn1z0Z1 v0s53H80EPDfzfF5DWS67YXRb0da4H1rI0mbuT3QJNIS/aMmkrGvbc/X5jL8 PZyInq00/TbrgQz9BBHNzmqc9G6FFeopIwr+u5wDXhjRsdfmnbIrkKMeNMbP W6M/Zoz6VIH6y4SCv6zkArw6mKG+V6HeFoMe9le3+AcTkppCf7qpbvl9Ceh9 TYvfkfKVGalXatD/aubVi9prNt/XoP9jTsXxRxqu1GvQjzancH9sg+tbUPuz b88tKbdBf86SLiv6ssx7rC2ubwl6/J4t+rkyKvjRHnaol2WUz/QrkIfY4/ty KnqmvBSw1g7PLwe/wN0O/UY5hftnW/Qn5RTuz23w9wByjJcN5suKbnbY5dFK pkH/2Ar8lCwV3nfLKPjpStSvljQ0JNMker0C/QAL6hO0L8UzQoH3CxZ0Z/er Vg1/WuN9szmVne1TN0cnR//OnGoSJg7OCZbjeua0x5rdy5RJVuhnSCnUnwz1 uBSfZ4n+h5SCPrdo+T1P5twS6l9kDv7hGwmuJ0X/WELhfkWCfoGEPu+/8dyk ajH+XlJCa4wkDk0fzDBfEvo6xfFOt1umeD8goeA/mLT4yXC/boz1IabxV/p5 GCmMOMxLMdXmBXZcOLIJ75MlVBTAHxb9VM/Af5JQ6H8dg3qS0JLnv7V2r6tk EB8JjSdFi1aOLmNwv9P8uqsH2WtahPfXza93BCcP2P+BQT9Kqdb5f79utnvG YH0JTZUYvzuhOMnAn2peL2SBq9mph6i3m+MRsHXUXJ8PqIfF1O0J/3twqxIC eGJGKzI1R+rSKojw8pkJNdyHQj2a0MK4hWOm9qgmUA8m1HB/C/zVmF7p/Lib 7QcdAX/NmBruhwFvjWhF9Y6r2Yvq8T7XiKbIZ6zKfNZAUF9RuF9uwvtsEb21 S22TQ0QU8E1Eo5d27Pbpq8gwz0mGMD+NUB81Ev9hy45WdTZGPttAjnU+86Lx mzHqkXri0u6phWSnCerdOrLdtiHSuocp8qdaoha5TbKrMKWG+5JVBd/tbrPX jBr8DrPHP/3r2UtMwe+tIQuubBX514hxvWpSfYgFhB9srkNhgSoyRfAXpBTw tIp8nm21sUe9lEL/VJLRicE3+x01R71QQV7GDa+KH2RBwf+oIMAnLJGvlpO+ uT/Xnk60ptDvpUTgY1YK1A+lRNAXExWoH0oJ8CEF+gOlxKCf4Xxl5Nod6YwT G5XIP8qIgf9AvMqIgV/D/Ckngj59o6IGv0zQ20PUFO7bKoh/wPZEr2w16oMK 8nXu4bEDh2swPpXwvC8aXK+KgN63ofD7iGryaGa/IR7etqi/qonAf1/bUpgP NQTsJDsD3yWgz+3R79AR4I+tWvKVei3gYcehDtRwHwbxcWx5vteS+dIbW50w HlUE+GlrCvfz5cRp0YBfTpE2yGe/wfe/tkH+9ZVsLrrpEOmoRf39hUy5cnWy c4wW+dhnMubS+nxJkpaCv/uJ3NPqek/+XYv88wP5Lr3Ti5cXtOhP5JHMuNSx 3d9ocf1cIuhbs7YtftTnQx/2eLRri/roKQF93Bb74SHRdvAQyRa0pXB/fpf0 WHnhutGRtvj8q2SaXj//a3jefrK9c3b3opq26PccZv3CHjmNc3HBeuVM4ptV mhPnQgGP7jH/pSPTsqcbXj9in+b+sLz3bsPnn7Odk4ePuHXbBfXQGzYw8fsg UuqC/DmPmQ8ZKs1wcKWAhx9Y4PlP9051dqXgT35iw+UzVx9IdsXvF4D+3+RK YV4UslO3NqrWXDN8vpgJ58t3xf2UsA99n06bbu2GeriMlaUsU4wNc0M9UM6m qzJ3ZI1wo3ifyiqOWHtG/eaG/VTJhPiecqOG36O8PvCnvSLbDfV+Dbsw7Vxy uc6txY/6PeYYf9rGnRp+7wJ+hDvmo455nL3cecsEdwr8p54NzRg/qvR3d+z/ BlbrdWjCnfPu1PD7GuF5Iz3weUb8TuVPYZuaPCjgswk/3LXpgcl6T9TDprzb qPYnvey9UE+bcYfTa6+krvPCejXD73tRwGMxnzjuTEzyGG/Mt5iv33KxaNlV b+xPMRf2J/fB+Iv56DWWD9t/74P6TMzPOR0gMTt90I/B91/4UMPvm4T6svZF vWLG7ReZHz4S60uBb5pxqEdfxAdTXj/Q75d9MX7Y3yY85wHtULDfD/0/I/6z Pl85fqiHRHzw6rc97UXt0I9qZHf1/SRvh+erx/y3Q3+llo1X7NNcMmuHeqya HfhWsq9/hR/iZSW7L/Sb4XU5W/F1+wa3634U5l8pE+J1wA/9wRImnOdXP9Sj hZgvP4xfAQO/yw/1/ScG+fGjYMe+Z8u4en5cuS/6TXlMwIMHvqiP37Ct9r0D NMd9KfDVF7D/Jb7oHzxhxR5z359rjjfU80U2VcAbH8T7M0RY/4o34ssNAn6b N4XfG98nCwqmyOQFXqjvssiPkV6+GzZ6of59RDZejzZN7OVFgU9lE6gHL/ST nhG3JcHtrr3ypIbfI77V3e56/SdP9C/eE2F/2zzx+YWkV97f3/64YXj/GxHi Z+yFfl8pAb/PC/2MMgL44YX+Qzng4Q/eLfPxxp4xFu/b+hj6F/Csr6EeK4gQ j1980O8oJ/v1+U4z1G85Efrxiw/iRxkBf9AX8bqMOL2we/z9KF+MbykR8rvH l4LeKyECPr7zRf+jmIDf6UeBz30lk9eFxned5of49pkAXvmhX/8B49kO/ZS3 pL/+eYntEN+eAx5ntMN5/w8JfjMp7zdV+5b8tjbdUxA4pT3ix1Wo/wftW/yx Ezus6i906ID8JpcJ31/fAfHkE/ijVR1wfhay+N8f7tG29zfwBXZzxj89VaP9 KfDLShb4w91yk43+eJ4a9rxmtSbtlj/iXx0rqX/vklfjj/FoZGmtN27q6ROA 9x0iPsJ6/PsTwwIo6CUjLry/IoCCfWnME/83QzEiIwDxwoRXzZ8zLvljAAX+ asodF9fWnVEEYv2bwfM6BuI8FfPax0s3OI8JxH4U8+KHCTLpikCcjxL+89XT NzzOBFK4j5Rwu/aFDxoeBWL+JbzXqsP2FpWBFPi/lO+d0ivtgU0Q4qmUq5+/ 2RcXEoR+u5TnzHGNJwOD8HxSLhrc+tmxKUFYX1IuNeoYIF8ZhHgv5f6BsW98 DgXhPJDyTsGTxsZcC8L+l/LxlxdFKZ4GYf6l/O79VzNvRAdjP0hgvQ3B6NeK +c5W0Uudngej/yXmRx1/lAcpQ5CvmfFG7808i4Zgv5rx7cXpUzv/GIL9bco3 bz3aed3KEDyfKc/evzDf6FhIiz83qVOrX3ZcD8H+MuGp7EVclDQU428M8e4c 2nL/MUt9tfR5cijOGxFfsXn+lbnrQ7GeRLzw8JPK9pdDW+5P5v1433nll1Cc 10a81fc/f3zaNgzx1phD/YUhfzPlvq+Dzs4+EoafN4P8lYXh+SXw/Zhw5HdS HvrHM236unD0Zy34T+s9T/d+G473D5b87O0lSVv8InB/lpD/GRHIt2VcqOeM CDyfDOJdE4H+poz3e5fW9UpgR5xHMt7NUvlkQVJH7GcZfzirJstre0fkbzLY /+2OiH8yPmX83i3TSzsiXsn4k3/EjS/tIinoMxnEKzIS/U8ZpyvmrSsfHon8 VMa3/t1h2IS5kXg+GW8nuXyr/+ZI7FcZHxT+97TJZyNx/uH+7vz3/vrY7ba5 7Tphf8j45d3eL7JndsJ8y/iXeX1yB5/shPUg4zVHRfO7ZnfC/reC/JZ1wnq3 4qM7FusWm0dhvVrB/h2jMJ9W3GpojxHcKwrr1wrqOSgK+bKcl3lOjLg0Poqi X8Fbn/lFtXxhFPqjcl4xoKzvhs1R2O/W3PSEr2nCqSjsP2v+VxvmNOrvKKxv a/5vr58u9fWNBv72kwLWX4avSxV8xueQV01vogFvBimhH3wJ5lcJ+Z1GoL7+ VXIB/9IIrFes5Lf3Dhr19RvB+Kp43/3vHsxVU8yHiruUdMl95Pff6wNLlk0g XSj0j5GKP0o8NZV/T4EP1yj5zMdf5m6ZRFFPKPlg19kqcSoFPvhJyacOGBwm W0fhPi5HyY+JnU/f20sxvkp+Z6W5aNEZiniq5J8jU5I0VynMr/tKWO8upeAX KXnvWcMz9n2g2C9KPtnzgTZIFYPzQskPnbX+xT4oBvmZks/11h3pGReD94NK vr5d3/SZP8SgvlDxtDd/OUsnxiDeqPi+YUaDxs2IATzupOJnl/5ROnh+DPCF 7zBei2JwHqm4z87REWFbY7DfVDxlUOo1l+MxoPcPq7hFYXHWoUsxOP9VPF3a MyTvbgzga5mK79L/HP9ZDOC7jRrPFwN8LlTNmzRxo5JKYjDfai78/MAmFvDl opoXrlux6VbHWKxHDfdvXZ1yfVAsxLOfhpertC/6j49F/YLvT8fPb9Tw6UfH jL22IBb3q+GVUUe++fwWi3is4dK/xl/KXBkL+viqhgf2WLBhxx+x0D8VGsxP LPA9cxsuj21oGPo8Fvi30gby886wPxu+YKHkSd3n/15vXvTDey/LzsB//9Hw 0vyt12dLOyO+afhL+b17bpWx0P+/arh489sD5YWxMP8naSAeH2ORv2h4+F31 M4+3scinNZD/V7Ggj2I1fGBNSZ3fX7HA70w0XDFpsSbgYiz2q5o7bw89rz0T C3zksZpnBGXFXTqK37+uhvMfiAX8uaDm5893lHZYFYvzUo31Hwv12EcN8ZwZ C/3tr+anEvxepUyORX6rhnglxVIBLs3w+WNi8f5PxbNXBy/d1iMW+ZeKR393 zOF8J8N6Kr5syImuEUGxeD+s4m6OmZUnfLE+wlQQH/dY9D9UPHT3Kt67bSzg vVrF/W5/7quQxKJ+UPKsMI9h+bUxoNdWKOHzpTE4/7EfC7Df+ii5bsMFpzfv Y3D+KCF+uTHgr3grod5uxGB/K+A8Gfj+MQXvWLG9qOl0DOiTVQr+NOPyrmlH YhCfFbyh4O+ea/bFAJ6PUfCEg1ZD1q2KgftOTwW/l77WNmFBDOZTAf3/s2E9 az6q1nFR5wn4+SPWPLm+m8WwMTE4L6y59ubVO7ofDOtZ88WiXfZLu8Ygn7KG /ITHIP7K4fPtsB+z5TyuV/a+O+4xON/l/MPHSZGJbWLwfkrOY/de7D7WwbC+ nK81vrNnVyPF+SrnwT+bHZ9eRnEeyKHePiN+jpND/PMo/t5GjvVMkc/JuWqr pa/FLYr3kXJ+SX/dc5FiP8j5xvinmX1PIv6OkMP5D/z3feH9nf89f9y8c7ce bKY47+XcdOL3qx0W/Lc/Ab+nUqw/Ob+yPGd28jhKwQ+V80+Kyv6RI3A+zJbz 1OO/f80e+t/rnLHPq58O+O+1gE9hFOMv5yP+3Zg8wZdS8LvlfMUvgQkql//i IeCdw3/nqU5qLza1ochH5ch3CM57nMe5BPFeDvwp0zD/5Pz0zsb+164S1FtW vL5Rfrz6HEG/0YqH54wIW5NKoD+XWAE/n0AQ/62497mT2/bEE9SDVtxcz5/j CPId/D4l2M/IRzSkhV8J/E5EUI/IQC+URKN+kvEfP1kMKvgQjfzUks+J7iI9 fzkaz2sJ/OBoNK5nCfxqezTOVwvQD2uikd9YwOeTotEPsMD9R6OfaM5d/e2G aHpFo99hDnw6Nhrjbw6ft4/GepYCn7GKbtELz/T66lMU9oME+NSrKOw3CWcV YeKlaVEYXzGPvWB8NPO4gf+Iufvw3clFc6Na/J//A1R5ch4= "]]}}, {RGBColor[1, 1, 0], PolygonBox[{{-6.815185307179586, -2.415}, {-6.6481853071795864`, -2.452}, \ {-6.499185307179586, -2.469}, {-6.367185307179586, -2.471}, \ {-6.251185307179586, -2.46}, {-6.151185307179587, -2.44}, \ {-6.065185307179586, -2.411}, {-5.856185307179587, -2.265}, \ {-5.7971853071795865`, -2.111}, {-5.799185307179586, -2.072}, \ {-5.810185307179586, -2.027}, {-5.835185307179586, -1.976}, \ {-5.880185307179586, -1.918}, {-5.950185307179586, -1.859}, \ {-6.054185307179586, -1.801}, {-6.198185307179586, -1.745}, \ {-6.358185307179586, -1.7}, {-6.404185307179587, -1.688}, \ {-6.463185307179586, -1.673}, {-6.538185307179586, -1.655}, \ {-6.633185307179586, -1.631}, {-6.755185307179586, -1.598}, \ {-6.908185307179586, -1.551}, {-7.068185307179586, -1.493}, \ {-7.112185307179586, -1.475}, {-7.169185307179586, -1.451}, \ {-7.241185307179586, -1.419}, {-7.331185307179586, -1.375}, \ {-7.443185307179586, -1.315}, {-7.582185307179586, -1.233}, \ {-7.724185307179586, -1.14}, {-7.763185307179587, -1.113}, \ {-7.812185307179586, -1.078}, {-7.874185307179586, -1.033}, \ {-7.950185307179586, -0.974}, {-8.044185307179585, -0.899}, \ {-8.158185307179586, -0.802}, {-8.282185307179587, -0.692}, \ {-8.315185307179586, -0.661}, {-8.357185307179586, -0.622}, \ {-8.409185307179586, -0.573}, {-8.473185307179586, -0.511}, \ {-8.551185307179587, -0.433}, {-8.707185307179586, -0.272}, \ {-8.733185307179586, -0.244}, {-8.766185307179587, -0.21}, \ {-8.806185307179586, -0.167}, {-8.856185307179587, -0.113}, \ {-8.917185307179587, -0.046}, {-8.991185307179586, 0.035}, {-9.025185307179587, 0.073}, {-9.029185307179587, 0.076}, {-9.106185307179587, 0.162}, {-9.160185307179585, 0.222}, {-9.202185307179587, 0.268}, {-9.233185307179586, 0.303}, {-9.359185307179587, 0.438}, {-9.403185307179587, 0.484}, {-9.436185307179587, 0.519}, {-9.557185307179587, 0.641}, {-9.601185307179586, 0.684}, {-9.637185307179585, 0.718}, {-9.665185307179586, 0.745}, {-9.798185307179587, 0.867}, {-9.838185307179586, 0.902}, {-9.869185307179587, 0.93}, {-10.003185307179587`, 1.044}, {-10.048185307179587`, 1.081}, {-10.084185307179586`, 1.111}, {-10.217185307179587`, 1.218}, {-10.268185307179586`, 1.258}, {-10.309185307179586`, 1.289}, {-10.341185307179586`, 1.314}, {-10.494185307179587`, 1.428}, {-10.539185307179586`, 1.46}, {-10.574185307179587`, 1.485}, {-10.719185307179586`, 1.585}, {-10.766185307179587`, 1.616}, {-10.803185307179586`, 1.64}, {-10.951185307179585`, 1.732}, {-10.995185307179586`, 1.757}, {-11.148185307179586`, 1.841}, {-11.191185307179587`, 1.863}, {-11.350185307179586`, 1.937}, {-11.628185307179585`, 2.032}, {-11.895185307179586`, 2.068}, {-12.094185307179586`, 2.072}, {-12.358185307179586`, 2.095}, {-12.736185307179586`, 2.122}, {-12.939185307179585`, 2.122}, {-13.028185307179587`, 2.12}, {-13.117185307179586`, 2.115}, {-13.207185307179586`, 2.108}, {-13.297185307179586`, 2.101}, {-13.386185307179586`, 2.091}, {-13.475185307179586`, 2.081}, {-13.796185307179586`, 2.04}, {-14.186185307179585`, 1.995}, {-14.513185307179587`, 1.982}, {-14.780185307179586`, 1.998}, {-14.994185307179587`, 2.034}, {-15.163185307179587`, 2.078}, {-15.296185307179586`, 2.122}, {-15.400185307179587`, 2.163}, {-15.481185307179587`, 2.198}, {-15.544185307179585`, 2.227}, {-15.592185307179586`, 2.252}, {-15.629185307179586`, 2.271}, {-15.981185307179587`, 2.489}, {-16.197185307179588`, 2.665}, {-16.28818530717959, 2.778}, {-16.28218530717959, 2.836}, {-16.211185307179587`, 2.854}, {-16.101185307179584`, 2.848}, {-15.974185307179587`, 2.832}, {-15.845185307179586`, 2.813}, {-15.723185307179586`, 2.795}, {-15.613185307179586`, 2.781}, {-15.517185307179586`, 2.771}, {-15.436185307179587`, 2.764}, {-15.368185307179587`, 2.759}, {-15.629185307179586`, 2.771}, {-15.913185307179587`, 2.803}, {-16.088185307179586`, 2.815}, {-16.174185307179584`, 2.796}, {-16.107185307179584`, 2.642}, {-15.995185307179586`, 2.545}, {-15.849185307179587`, 2.44}, {-15.612185307179587`, 2.3}, {-15.576185307179585`, 2.281}, {-15.530185307179586`, 2.258}, {-15.469185307179586`, 2.229}, {-15.392185307179586`, 2.196}, {-15.292185307179587`, 2.157}, {-15.165185307179586`, 2.116}, {-15.004185307179586`, 2.074}, {-14.804185307179587`, 2.041}, {-14.560185307179585`, 2.024}, {-14.271185307179586`, 2.034}, {-13.942185307179585`, 2.072}, {-13.593185307179585`, 2.127}, {-13.261185307179586`, 2.182}, {-12.929185307179587`, 2.244}, {-12.897185307179587`, 2.252}, {-12.859185307179587`, 2.262}, {-12.815185307179586`, 2.276}, {-12.764185307179586`, 2.293}, {-12.703185307179586`, 2.315}, {-12.625185307179585`, 2.341}, {-12.512185307179585`, 2.369}, {-12.301185307179587`, 2.389}, {-12.249185307179587`, 2.389}, {-12.177185307179586`, 2.385}, {-12.078185307179586`, 2.374}, {-11.938185307179587`, 2.349}, {-11.740185307179587`, 2.297}, {-11.457185307179586`, 2.193}, {-11.305185307179586`, 2.125}, {-11.261185307179586`, 2.104}, {-11.204185307179586`, 2.076}, {-11.129185307179586`, 2.037}, {-11.032185307179585`, 1.984}, {-10.905185307179586`, 1.912}, {-10.740185307179587`, 1.813}, {-10.524185307179586`, 1.677}, {-10.245185307179586`, 1.496}, {-9.896185307179586, 1.273}, {-9.861185307179586, 1.252}, {-9.817185307179585, 1.226}, {-9.760185307179587, 1.192}, {-9.687185307179586, 1.15}, {-9.595185307179586, 1.099}, {-9.476185307179586, 1.039}, {-9.326185307179585, 0.97}, {-9.135185307179587, 0.899}, {-8.891185307179587, 0.839}, {-8.576185307179585, 0.821}, {-8.300185307179586, 0.862}, {-8.283185307179586, 0.865}, {-8.254185307179586, 0.872}, {-7.968185307179587, 0.965}, {-7.575185307179586, 1.129}, {-7.202185307179587, 1.284}, {-6.850185307179586, 1.398}, {-6.525185307179586, 1.463}, {-6.234185307179586, 1.48}, {-5.980185307179586, 1.461}, {-5.764185307179586, 1.42}, {-5.584185307179586, 1.368}, {-5.436185307179587, 1.314}, {-5.318185307179586, 1.263}, {-5.222185307179586, 1.217}, {-5.145185307179586, 1.177}, {-5.085185307179586, 1.144}, {-5.037185307179586, 1.117}, {-5.000185307179587, 1.095}, {-4.7811853071795865`, 0.954}, {-4.527185307179586, 0.767}, {-4.274185307179586, 0.56}, {-4.024185307179586, 0.336}, {-3.7791853071795862`, 0.102}, {-3.542185307179586, -0.136}, {-3.313185307179586, -0.372}, \ {-3.0921853071795864`, -0.602}, {-2.8821853071795864`, -0.822}, \ {-2.683185307179586, -1.03}, {-2.4951853071795864`, -1.223}, \ {-2.317185307179586, -1.401}, {-2.1511853071795866`, -1.564}, \ {-1.995185307179586, -1.711}, {-1.849185307179586, -1.844}, \ {-1.713185307179586, -1.962}, {-1.5861853071795862`, -2.069}, \ {-1.4671853071795864`, -2.163}, {-1.3561853071795866`, -2.247}, \ {-1.253185307179586, -2.322}, {-1.157185307179586, -2.388}, \ {-1.0681853071795864`, -2.447}, {-0.9841853071795859, -2.499}, \ {-0.7141853071795863, -2.648}, {-0.44018530717958626`, -2.769}, \ {-0.24218530717958586`, -2.837}, {-0.09718530717958629, -2.876}, { 0.009814692820413917, -2.9}, {0.09081469282041343, -2.914}, { 0.15081469282041393`, -2.923}, {0.19781469282041364`, -2.929}, { 0.3998146928204136, -2.943}, {0.5278146928204137, -2.944}, { 0.6438146928204134, -2.939}, {0.7478146928204135, -2.931}, { 0.956814692820414, -2.901}, {1.275814692820414, -2.825}, { 1.4828146928204138`, -2.758}, {1.621814692820414, -2.704}, { 1.7198146928204139`, -2.662}, {1.7908146928204136`, -2.63}, { 1.8418146928204138`, -2.606}, {1.8808146928204135`, -2.587}, { 2.1228146928204144`, -2.451}, {2.243814692820413, -2.368}, { 2.323814692820413, -2.306}, {2.3788146928204146`, -2.259}, { 2.416814692820413, -2.223}, {2.546814692820414, -2.069}, { 2.592814692820413, -1.992}, {2.621814692820413, -1.933}, { 2.6388146928204144`, -1.887}, {2.674814692820414, -1.727}, { 2.679814692820413, -1.647}, {2.6788146928204135`, -1.586}, { 2.674814692820414, -1.538}, {2.645814692820414, -1.372}, { 2.6248146928204132`, -1.296}, {2.6068146928204143`, -1.238}, { 2.5908146928204143`, -1.194}, {2.5268146928204143`, -1.042}, { 2.4948146928204142`, -0.974}, {2.4688146928204144`, -0.922}, { 2.446814692820414, -0.883}, {2.355814692820413, -0.729}, { 2.3228146928204136`, -0.676}, {2.2958146928204144`, -0.636}, { 2.187814692820414, -0.486}, {2.153814692820413, -0.442}, { 2.1278146928204134`, -0.409}, {2.0108146928204143`, -0.274}, { 1.9808146928204131`, -0.242}, {1.8548146928204137`, -0.117}, { 1.7218146928204145`, 0}, {1.5878146928204142`, 0.106}, { 1.3448146928204139`, 0.286}, {1.2078146928204134`, 0.395}, { 1.0808146928204136`, 0.505}, {0.9998146928204141, 0.798}, { 1.0478146928204142`, 0.801}, {1.0968146928204137`, 0.798}, { 1.1418146928204136`, 0.79}, {1.182814692820414, 0.781}, { 1.2168146928204138`, 0.772}, {1.416814692820414, 0.695}, { 1.5628146928204139`, 0.62}, {1.6978146928204136`, 0.539}, { 1.8178146928204146`, 0.459}, {1.9208146928204144`, 0.385}, { 2.006814692820413, 0.319}, {1.9708146928204133`, 0.321}, { 1.9028146928204137`, 0.37}, {1.8248146928204143`, 0.423}, { 1.7368146928204133`, 0.478}, {1.642814692820414, 0.531}, { 1.4638146928204137`, 0.603}, {1.440814692820414, 0.607}, { 1.435814692820414, 0.558}, {1.661814692820414, 0.376}, { 1.6958146928204139`, 0.349}, {1.8308146928204145`, 0.243}, { 1.8668146928204141`, 0.212}, {2.0038146928204146`, 0.094}, { 2.036814692820414, 0.064}, {2.076814692820413, 0.026}, { 2.1948146928204135`, -0.09}, {2.224814692820413, -0.122}, { 2.2618146928204137`, -0.162}, {2.3748146928204132`, -0.291}, { 2.4028146928204137`, -0.327}, {2.5088146928204136`, -0.47}, { 2.530814692820414, -0.503}, {2.557814692820413, -0.546}, { 2.6468146928204135`, -0.696}, {2.6678146928204143`, -0.736}, { 2.695814692820413, -0.79}, {2.775814692820413, -0.954}, { 2.794814692820413, -0.998}, {2.8198146928204135`, -1.056}, { 2.850814692820414, -1.135}, {2.9048146928204144`, -1.292}, { 2.9188146928204137`, -1.339}, {2.9348146928204137`, -1.402}, { 2.951814692820413, -1.485}, {2.9688146928204144`, -1.693}, { 2.967814692820413, -1.734}, {2.962814692820414, -1.786}, { 2.9498146928204143`, -1.855}, {2.921814692820414, -1.945}, { 2.8618146928204133`, -2.064}, {2.751814692820414, -2.204}, { 2.709814692820414, -2.245}, {2.6468146928204135`, -2.3}, { 2.549814692820414, -2.372}, {2.3918146928204145`, -2.472}, { 2.116814692820414, -2.614}, {1.9188146928204137`, -2.7}, { 1.7178146928204132`, -2.778}, {1.677814692820414, -2.792}, { 1.6238146928204138`, -2.811}, {1.549814692820414, -2.835}, { 1.4508146928204138`, -2.865}, {1.3118146928204135`, -2.903}, { 1.113814692820414, -2.948}, {0.8228146928204136, -2.991}, { 0.5148146928204138, -3.006}, {0.41481469282041417`, -3.003}, { 0.3058146928204142, -2.995}, {0.18481469282041374`, -2.982}, { 0.052814692820414066`, -2.96}, {-0.09318530717958584, -2.928}, \ {-0.2541853071795863, -2.882}, {-0.4311853071795859, -2.819}, \ {-0.628185307179586, -2.734}, {-0.8441853071795862, -2.622}, \ {-1.083185307179586, -2.477}, {-1.346185307179586, -2.294}, \ {-1.6331853071795859`, -2.068}, {-1.9451853071795862`, -1.795}, \ {-2.0981853071795866`, -1.651}, {-2.165185307179586, -1.587}, \ {-2.2331853071795864`, -1.521}, {-2.301185307179586, -1.454}, \ {-2.3711853071795863`, -1.385}, {-2.441185307179586, -1.314}, \ {-2.513185307179586, -1.242}, {-2.5841853071795864`, -1.169}, \ {-2.6571853071795863`, -1.094}, {-2.7301853071795863`, -1.018}, \ {-2.8031853071795862`, -0.942}, {-2.8781853071795864`, -0.864}, \ {-2.953185307179586, -0.786}, {-3.0281853071795863`, -0.707}, \ {-3.1041853071795864`, -0.628}, {-3.180185307179586, -0.548}, \ {-3.256185307179586, -0.469}, {-3.333185307179586, -0.389}, \ {-3.409185307179586, -0.31}, {-3.486185307179586, -0.232}, \ {-3.563185307179586, -0.154}, {-3.6401853071795864`, -0.076}, \ {-3.7171853071795864`, 0}, {-3.7941853071795864`, 0.075}, {-3.8711853071795863`, 0.149}, {-3.9471853071795864`, 0.221}, {-4.0231853071795864`, 0.292}, {-4.099185307179586, 0.361}, {-4.175185307179586, 0.428}, {-4.250185307179587, 0.493}, {-4.381185307179586, 0.603}, {-4.418185307179586, 0.633}, {-4.464185307179586, 0.67}, {-4.5231853071795864`, 0.716}, {-4.598185307179586, 0.772}, {-4.691185307179586, 0.84}, {-4.808185307179587, 0.919}, {-4.952185307179587, 1.01}, {-5.1271853071795865`, 1.108}, {-5.336185307179586, 1.207}, {-5.580185307179586, 1.295}, {-5.858185307179586, 1.357}, {-6.160185307179586, 1.378}, {-6.477185307179586, 1.344}, {-6.790185307179586, 1.253}, {-7.081185307179586, 1.113}, {-7.328185307179586, 0.939}, {-7.508185307179586, 0.742}, {-7.512185307179586, 0.735}, {-7.550185307179586, 0.663}, {-7.572185307179586, 0.531}, {-7.549185307179586, 0.441}, {-7.508185307179586, 0.376}, {-7.464185307179586, 0.33}, {-7.4221853071795865`, 0.297}, {-7.386185307179586, 0.273}, {-7.230185307179586, 0.201}, {-7.073185307179586, 0.16}, {-6.9301853071795865`, 0.137}, {-6.806185307179586, 0.124}, {-6.700185307179586, 0.116}, {-6.612185307179586, 0.11}, {-6.5391853071795865`, 0.105}, {-6.480185307179586, 0.101}, {-6.433185307179587, 0.097}, {-6.395185307179586, 0.094}, {-6.041185307179586, 0.044}, {-5.743185307179586, -0.04}, {-5.480185307179586, -0.157}, \ {-5.256185307179586, -0.295}, {-5.072185307179586, -0.438}, \ {-4.926185307179586, -0.575}, {-4.8131853071795865`, -0.697}, \ {-4.726185307179586, -0.804}, {-4.661185307179586, -0.893}, \ {-4.612185307179586, -0.967}, {-4.575185307179586, -1.026}, \ {-4.548185307179586, -1.074}, {-4.527185307179586, -1.113}, \ {-4.439185307179586, -1.307}, {-4.390185307179586, -1.468}, \ {-4.364185307179586, -1.632}, {-4.367185307179586, -1.797}, \ {-4.404185307179587, -1.964}, {-4.483185307179586, -2.132}, \ {-4.617185307179586, -2.302}, {-4.819185307179586, -2.473}, \ {-5.113185307179586, -2.638}, {-5.408185307179586, -2.743}, \ {-5.501185307179586, -2.766}, {-5.602185307179586, -2.786}, \ {-5.710185307179586, -2.802}, {-5.826185307179586, -2.813}, \ {-5.721185307179586, -2.797}, {-5.509185307179586, -2.76}, \ {-5.3211853071795865`, -2.708}, {-5.1561853071795865`, -2.645}, \ {-5.0101853071795865`, -2.574}, {-4.883185307179586, -2.499}, \ {-4.775185307179586, -2.421}, {-4.682185307179586, -2.34}, \ {-4.6031853071795865`, -2.258}, {-4.5391853071795865`, -2.174}, \ {-4.487185307179586, -2.088}, {-4.448185307179586, -2.002}, \ {-4.420185307179587, -1.914}, {-4.403185307179586, -1.824}, \ {-4.396185307179586, -1.734}, {-4.399185307179586, -1.643}, \ {-4.410185307179586, -1.55}, {-4.431185307179586, -1.457}, \ {-4.459185307179586, -1.364}, {-4.496185307179586, -1.27}, \ {-4.5391853071795865`, -1.177}, {-4.589185307179586, -1.084}, \ {-4.645185307179586, -0.993}, {-4.707185307179586, -0.903}, \ {-4.775185307179586, -0.816}, {-4.847185307179586, -0.731}, \ {-4.923185307179586, -0.65}, {-5.003185307179586, -0.573}, \ {-5.086185307179586, -0.5}, {-5.1721853071795865`, -0.433}, \ {-5.259185307179586, -0.371}, {-5.349185307179586, -0.314}, \ {-5.439185307179586, -0.264}, {-5.5311853071795865`, -0.219}, \ {-5.623185307179586, -0.181}, {-5.714185307179586, -0.148}, \ {-5.806185307179586, -0.121}, {-5.897185307179586, -0.1}, \ {-5.987185307179586, -0.084}, {-6.077185307179586, -0.073}, \ {-6.165185307179586, -0.066}, {-6.485185307179586, -0.07}, \ {-6.888185307179587, -0.118}, {-7.250185307179586, -0.169}, \ {-7.570185307179586, -0.213}, {-7.679185307179586, -0.233}, \ {-7.689185307179586, -0.236}, {-7.866185307179586, -0.302}, \ {-7.941185307179586, -0.376}, {-7.9621853071795865`, -0.454}, \ {-7.952185307179587, -0.53}, {-7.925185307179586, -0.598}, \ {-7.892185307179586, -0.658}, {-7.858185307179586, -0.708}, \ {-7.826185307179586, -0.749}, {-7.799185307179586, -0.782}, \ {-7.679185307179586, -0.907}, {-7.444185307179586, -1.098}, \ {-7.2121853071795865`, -1.243}, {-7.005185307179586, -1.344}, \ {-6.8291853071795865`, -1.414}, {-6.685185307179586, -1.462}, \ {-6.569185307179586, -1.496}, {-6.476185307179586, -1.522}, \ {-6.403185307179586, -1.542}, {-6.346185307179586, -1.558}, \ {-6.301185307179586, -1.571}, {-6.142185307179586, -1.62}, \ {-5.7891853071795865`, -1.826}, {-5.710185307179586, -2.169}, \ {-5.753185307179586, -2.246}, {-5.823185307179586, -2.322}, \ {-5.928185307179586, -2.393}, {-6.073185307179586, -2.452}, \ {-6.2681853071795866`, -2.488}, {-6.522185307179586, -2.486}, \ {-6.848185307179586, -2.419}}], {LineBox[CompressedData[" 1:eJxFW3dcVFcTXdruAsuyuywdkd7L0kGj99p7N2qMBQ0aNbagojEWbLF99t41 dmNFY4wS38TYQtAgNuwooiIivbePfTO74R9/z3373r13Zs6cmTnrOXbawHGm Eokk2Fwi0f/7Kdt8udXX4fyFj3TRlk7mMDjhu6Lpi8J562WFAy65m0PN8WPV 3fLD+fapmiWQYQaPamPWXawO58MSLtxOuWoGe3auKj4g0/G8w7uue5w1A03Y wfJqex2fpr/9gBkkvftzTp6/joeLLzCDhsEP6g8O1PGktq/6rdlmBjPb14ec HPXf/Rm9A171mKrjfceqWl5hBh5ff7nh/R6dcT3BkbUmvsd0vJ3V44PT25nj +37V8Xtez2oXTKLPb+v46W6v52pPm0NctM/Ktq91XP+2qRoLKJ2vWz1eHkHr t4CDrh5RodoIXhUwYt21SguAWUunKnwi+LGbveJWdpBCoCy5sFdCBH9yt3pQ 3mEp7Luhlv44JIJP2FA0j8XI4HTZXwcnLYjgwcsdWm6RwXh1j3XpFyN4zKjL PRSmlqAyc3vhLovk+qcHjLCC8mO/HWBxkbynwrTlK9bQ7tffM2/2ieS7W04v eYI1VN5vf8lpfCS/5K7fsDUM+d32WfnCSC5u10oBhQ07uz3bFcn9I+Qn3YYr oHjg8Zlrfo/kytC0PcVHFSAf2rz4cmEkXzgpfeYmJxt8X3Uk/zvl6j6XcBvo Y1Oeus4niv+o1Z+QDSSM/mWfVhfFh4sGsYHbngduTx8dxWsG6S1qA4nrz/eK mBTFTcUN2kC3/41sZz4nindMzM/yemYDS747lbHrSBQXL2ttIMZyT/LYtCgu Ef+U0LTwa838P6P4fhe9ByjxfSVRfNYmJ/MhSiX4nPvm6o76KH6iNLvPWJUS /J9/fJBsFW28Fj9vG037V0L4Cln44y7R/OGcAr8IuRL6x8/dNmFQtPH5y/+8 Ut0nKZrOXwnHvg9LfLUhmuxrA9KQOZNf747mf2Yc6HKx3AYuzPjqfeWJaD5E PED6PD2afxqgt4ANeP30/Ch8iua9W7whMd8GlDmbb3apieaOokPYQI/f3g56 IY0xXov2cP7vWvT/bjHG56381FHpPyjG+D7RP8fEGNcnfj4jxnh+j/sOGp94 NIZXND5o2THt51wMb9JfRijRXkIMnyE6pBJuVjmnbcuK4aI7DlLi+t7F8O/F gFHC4LUrrruoYym+lLDpr3cLklrFcvHythJGtDnsvjAklvarBDeLbkkxPJbs ZQvX9lsvy0+O5a5iQNsCy+V5++bF8p079H+2oDhlc3byylj+uSU6Rl22xfPY YXieLZiblH4pPx3LxXCwVcGJ3b+mXMqNJX9Wob99jOUXy1s2PFGF8VYVy1uC o2WDKowPaRzhiQo6xfZTDXSJ43r06HJRBS/+/XC8MCqO66O/22sV3Lvzh9fD 4XH8UIv3PPZWo/+Mo/tj1Xj/jDj0775qfP5PcVyEp6lqyJx9ptJrTxzG61Y1 7j87jq+e/L7+eKka/eV5HO+vhxczDe6/IA7xzVEDF/fmNt6tjePOLacXGqmB DdtHT1itjOc/t3hf42ANLLTft6cgIJ6L4bNAg/E1LJ6LcHhDA05n4uOWjKX7 H2jg5K0v1myYFo948UEDef0XFKWkxpO/2MGTH57OS9gaz/XRcdLNDl77Vj/a cy6e65e3hNvBascMH8mbeN5VPGA78u94LsLrMjuY/9Fxuaountct0AOIHXSw vl07xzqB69HjxSE79FfPBLKvHe7/iwQ+RX8c2XYY39MT+NZO+hOyg1HjQmKG /ZjARTgy18L9ms4Jp1cmIN7YaAnPEtB/nLWYH9ISyN+1MOzt1tLMuwl8b/HR FkTWwnbnyl8c6hPIXlroKcZfG/J3LeWfNohPX2uhTI/3AW246F5JWvhiVeTF ovZtMP6maSFl4uJOy6a0QTxZoYUKPV7OboP+vlYLR7oe7SFd0ob8TYvxtb4N F9PHPi2snZIzIG1fG8o3Wtiot+/pNnjeoIUSEZ/boH8/1VJ+aIP2btJCst1M h/vr2lA+sUf/6dEG8eMbezxftzaID7PsMT8q2xB+26N/vEkg+9mD7vzaLmcf JHA9+gUvt4dVentfS6D92SM+b/zvOr11SofhPyUgfv5kj/6TQvZaao/+lZhA /mkPkze+zO7WKYGLcJFiD6EjU52aHBKM6xXta5nAZ+sdZqQ94WU8+sdAe8rH 8ZhfOtujP16Lx/MLs4dF3O/CtW3x3FdPR6ztwV13d66yxd9F+70le3wTz8v0 6SFHS/gfz7vrj/+WFvlE+3jEx3NaiHppP2Kldzzm/41aMH00kYU3x/Hx4p8W 4/FuHA8UE7QW17M4jv9VqT9wO8p3cWifX+0wX0yK43o0y/qZ4qUFX/TR0ON/ dlAb2Cc/o5MBP+wQf/3icH3d7BBPJYRf9nZQcM8uwvROLBfT22MN5ovlsZjv Vmno+7HkHxpI656d5eYWy0U4DtUgnipjCd80GE/1MZT/Nchn3sbQeWrg2aEx mzQ3Yig+1RR/MdxTBFg1aL8KsrrXgvgNLdHc540atunjzTWG39LToVw1VDfd uFt6IRr399mAj4Z8qsb9L4lGfKlRw6W/v9UemxBN+KRBPOllyNeEj86GfG/A x2jiaxpYp4+v5iguurtWg/npU5QRX0X7348i/NAQfkTxf/V0zdVwnv99LvpT vyjj+8T1mkVxPXtMr1BDWz0+7I3kUfq/82rkt8sjKd7ViEdTI3mJHo5WqiFC H2+DI435Ytc0sye34yN5KxHgDOcXSf6tJr4TgfEpU6P/PI0gPqXC+Gvhj53F BKNCPF0fwY/o6XWyCvnktxGUv1T4/LYRmC8LbOHuz7GKBusI4pu2Rj6MfFuJ fPWqjvKpkvKDjvKvEuPzgI78S4l8crXOyE8w/xj4vg0U+XuNutBTR++zIXvq iA8qwO1s4JrVZ8Mx369TwIj85d0eNoSRPytg1bWTfYZsDOPi8boo4K3fh5Aj o8PI3gr43Lh6T17gf9emi3pPWFYcSvzZ8PxQqg8UkFZ+oTZ5ciitXwHRFxbu uuQVSvxIAU7DXROfZIdwMR0NUQC/eMLr3x9DiB8pwCtCyHJoFYLxsloBYVEf h4ZeDKb6RAE5Pn8cXtc1mPavgDns0+ILmUH8BzHhKiAgbbD25x5Bxu+L+00P NL4/RP5Nh8H+gZQ/raHj64iEY6sC6HytYOz4VqsTC/y5/tuT31tC2aCdGVu6 +RO/ksODu6fnvDjmR+clw/PT+JE/WsD49OBLmuW+FF/mMEplO+q0tS/xI1NI vjqEBe73oWsTcAjf3EPS2YfwwgSGX5ZENBR5E1+VgOp0k8Wsx960Pgn4Lb/T ePuyN8WPCfS99PB4/mZvPl8EQBPIF+3nTedjAllz9vcKtvZG/Eg0hWK9PSd6 8Rv6cmeDGZQG2F1Ij/cifmgGKdpxk581ehrr0fSMYZPOXvRE/pRmDhnVVvL9 ozzJfyzQ/iUexD8s4Pncf7I7JHnQ+UthexefdmXDW9P7ZdB1jcUl6Up3qm9k oLsQC2m+7oR/MpgL8YUJ6a3I3+QgXxKm3dqrFfEPObysd2x7674b8Q051ARV jr4z2I3qTzn4pFkn7M50pfwoh85jFxwIbfPf9fodsrw1+1yIj8hh967ISYdq nMk/5LB02/OvZ3d1JryU03qdCH9kkNEn66vegiPxOxmUHR/t1vGDAxe3O1kK z7PW+3w2d6D9W0D/pOMBne3syb/NYX8p3zbEQUv+YwaZc4ZO91XaEV8wgU8B GTkX69V0f7PgHpFSqcpVUX1aL2zetf/89gW2VF9VC70v++77GGuD+WJsmWD+ 5MSqL4qtuL4avdmrUAi4cMjy6C9yss9rYfD4jrV9k6WYv4fdE0Kszsd+1cOc +OYEQTviuy9fRpty8Xja/svw+RKy/ws24dqpvqFHGxj641t26EDjs+v2tUzk pz4fmdtqH5s7f1YyzO+f2eYe1/0b9pYxtG8JW++Tkhk3o5iJ4dyljNWM/tLt htVHhvm5nAVctR1/T5HP8Pwr2LCbVxYHf5/LkG9VsMTmV1s7j85h3pgwGLxZ FmmZmsWQn1cwyaoQ+2UTrjGsp1quwePbbWMPMbRfy3X7C+qB108KovuOarn+ ovlS9/hHAtYTLetx++i040yegHhfwkq6dD329eEPAvKDQpYzefZZ2bWPgsg/ vN4zec/dF1cM/Sgg3r5h/YMd/4nd917A979kuiPBPyxIfSPg+nKY5IOr3akZ DwWM9wdMcm3Ojd+dlzL0z7ts/w8PnmXt+4dhfXqLrT83/6dPvg/Yfb25Eq6z /lmmye1fPmVoH4HO6zXD/sd5lvN0Yobi01uG9txOnxcw5P9HhIAJJgmtpxWx wSJAgJA0eZ/nj5alDOvLO0L0urmudTPKaT2PhKVumlWK6kqyR67Ax7v/L25B DUN/yBfemuSdfF9Sx9D/Pgn9N2UF+vs1MsSnMkHy7Nyhtg+aGJ5nlbC/V/Fp zZxmhvFXL+Q0/+Z7z7GJYT0kAfArCJ0f3cAQj0wA11fPMD5MYUWyx29XN9cy 7KeYQYmZMrrp72qG+dsMPC7+4n1kfSVDPDaHCdv84gfnlDGRT0RZAN/2cqRv yWfyFwuYPtMs6ciydwzjQQqqbn+qv7LJYYj3UpD8OfN5ueVBAfOzFDyOS91P Z4CA+CeF/RtD+11MuSPg+Uohsar7jZ7fPCT7W4DqY9edf/V+LiB/b7n+J6LO 7vprAesrC4if/2/BlVX5Avpzy3rN311btbhAMODvpferR/U7WCQY+nG7NyW+ XFpVIiA/M4OcPXGLK6PKaX2mEDJkiOz1skoB8ccE1qenT+n2qVoQ+elBCcxZ 86p7h+/qBIy3ZmG6oqfFxaYGAfGoUUhNaPj58JFmAftfdYLbSX7rx3ATwHxe I/S58Cnv4SZTQHtVCoNiFvuPkZgDxleZ8Ffy/5rMv7cAxOdi4UHGjbQ776WA +Fog9Hs1o+70WDlgPylPaB7wfPXuV5aAfOuJcOZ651arRljT8zKEoCdlSd89 VgDyu43CtHXvxvL+SkC+cYP1WjnuTsN1W0B8e8g6XRgemrFDBRgvuWyDw3fL zPqqAc87n60rzJsa1KwGzP8FTP7Qan/kLxrAflERq89+5eQ20A7uZOr/SthS LW/6VGEH6L9lbOWkvsH7WuoYvL+cFR0O/TEkyJ7WU8kyKy9rdqXb03lVMb/h VaUfezjQfqvx+dkOgP3PatYrcfbysC8dAfN3DX3uCGjvGtZh5X2H0p5O8I+e 3jfWMJPBs0YcveoEIvwH17J2UTcK2oc60/nWMuWQ/Xl/bPvvema6tKdPkzNg vNSy6eNr3JITXQDjvZaZis9zAbFefFHDzBc2JKeucTWuZ5Bi8+uNqlaAfKKK 7SpSVvFh7oD5p5Lt69TKu3xWa8D6vJxlHVi7obaNB2C8lrEbGR890s960HmV MpMTbU4Pau0JiB+lrHPM0S39VnoC4l0pi4+ap0wo8QTkq2Vs6SSL/ju+9AKM 53L2a/K5yeW/e4EID1kV7Ku8zykZrbwB8aeKrSrcuclnsTdgPqphV8q7nl3w zhuQT9SxT/VlmTk9fQDxr4G5m+8riDzjQ/7SxPoqeknX2PkC1qMSPi7fuSk3 xRew32fC5139UBn91JfO05SPTGg8OK+tH9nfjJ9zO8g67PYDzAdmvKOVx8KU Oj/Aetach0QMWO411J/8yYLn1t7qcu2cP4jHrZDy7Ez7Y9mWAYD9YCmX6M9r dAAgvkv51A2xw7qkBYDo7n1k3GmJ5ZGjpoGAfE7Gmxac3za3fyC9T8a3Ft1w absrkM5fxmsaWw0uzguk58m49aKX7hsCg4D4Dv9ambLm4OT/rlPaDUo7firI eP/dFNmPHp+CAOsdGS8ZYFK3KiAYMD/KeP+4bLfxY4ON77ccMlR+aWcwID+X 8f85eJ1ozAoGzE8y/nROpGmcRQhgfpfxVG211/u4ELKnjC8omKZQTgwB5DMy /qB699VftocA8kEZX8wWJMDNELK3Yb+hgHxDytF/wih+pNxC0uOZRWOY8fyq sre2c9gSDthfl/EP/W/dntdKR/4s5yHPo87O8deR/8t55Mi/y82idYQ3ct73 t9DwvE46Oi9Lrlz878wdQ3WA+dmSr/20uiBkuo7iwZK3fioPHLtWB1Rf8Jc/ eA9j53W0Xyv+tu7SroxXOjpvK3yfNgJwvmCNz+sfAch3Fbz/mwtd0jdGAOY3 G17SkOf1OieCnm/DT+9uGnC1VSQgP1Xy7Nk1WQHDI+l5Sm5vNu6Sz9JIii8l v7V/cGLhukjCKyV/58vTDk6NJLyw4ZIvWz0+Hh5J9rbmQedO7tjnFAk0P+Gm qYeKFjdFANYvVvzGrDs9NK8jgOYvPP7lqLh1EAGYXyz5Hc+PB1N2RxjPr/f/ jjhZzYqgeJPzz/dGKOQ9IwDzlYz/0L6zPM01AjA/SnnAT75LbhboKF4t+E98 2rrbF3TG+JM+SnOJmacDzK+mvClwK2RxHfmbCZ/yhfOiXaY6wHmWhEemvcs4 tSSc8LuJifFdH0bPb2AfDr/d5zcljPy3jqlNZ451exRK8VrL7IctXnc3KpT8 s5bplo++8GBmCOW3WobxHEL4X8vE93UKofikz1uHAPKnOnZil03Dr8XBMFA8 sDp2U8TTYPLHOibizYhgsn892+7UJ0L7MYjsU094FwRif3wJrf9UIGD91YD7 +zGQzqeBVRy19W/XNZD8o4FtvtbefKwikM6rgWV41PaZejcAkP804PNXBQDO J+sRfzsG0P7r2Qqwm9+r3J/8tQ7xeo8/IP+rZQ2DQhYd6GDAvxr8/IUfID+v YnUBhyfdTvYDrBcq2O3K7+O2NPvS+ZUyoceXL3RLfQHrpSJ8nokvYP3xjtmc HBczaY4P5bfnTMSrD970+U3E+0He5C9XhY9Z311svuIF2M99Jry8y8MLvLwA +8vvhdFJSy9/ucqT8KxEEO1b4UH7rRS+G3+mw+RvPAD7T7XC0eKE+UPPtQbk sw2CyBdOuFN8NAvV8+4VTrzQivKJCbw+aFphf88NsL4wheMuf27SSdwA+aop TFZ9LBY6upI/mAHmexcQ0+keM0B+4wzY/zaDBwceT26e7Uz2NoPrPfZeijVx pv2Ywai8uIFZO51ov2b0fCfK/2ZwdteQx1cmO1J+M4U1MGLYAJ0j+asErrk7 /jwy0pHiQQLvfbbHHWjnSOchgdSrEffaDHWk9TULYVK73v2WOZL/Ngkp79ck NmY6kj0bhW5WE4fPi3Oi/N4giPwnw4nOq17Ir1V53p7qbPB34fT0f+HNHmfi I/VCVq+/WZ+nhv3WCXuctipc/F3If+uEBZtOXB6zwgWw/qrD9Vi4Uv6sFZxC Ow+uP+BK768R0vcsGpXdxY32Wy30u7jsQm6yG2B9UC2I/OuUG+23WricXNet tsqN+FuV4GD6RzuvQa0I36rweTdaEb5WCrqInWMDBrsTHy0XKgf0fLg+353w qKWe1/Mxm9aUn0oFtyUDF51irYnflQqivRe2pvxSQufZmvhhsbB3x5uZ+xw8 6Dw+CWL+7e9BeFQgNOv5wnoPyp/vhFh5ZfXoAx4GviyI/OeiB+WTPMH59Pr0 1HsegP27N8IUPR8p8wCsP3IFkR+5eAL2t54JIh5N8qT8cE8om7dClTTbk/Lj v0KQNGN6jxWegPPCDEEsz3d7AvaLbgg5fX4pHHnRk/J5uiDm84eehLdHBcRn T/KPA8xr+CmHfIUX+VcaG3rp28RSpReI8DazpT7WPy/Wi/DuOjvSpfmu2UAv wqdM9sjL5+HSb71o//cYrteL8Oo+E/nJb16A8+/nhIdehB8vkd++8gKx/70r l2X2Sk3q1sJPEX/fUn7wJn/KJ7w14M87NrFtQPCmwd6E3+8Z8h1vio9Cwm9v wrNPTOQzf3gT3ypijSL++ZD/leD3nXyIP5Wy892ChrgE+4AI7zdLkf9O8wHs R5cTHzfw4wr2bu7IlX32+oChf7J+su7xmdM+gP3NSnx/ow+I7eAnVez5wd+d VFpfyvfVLGxEzp56X19aXzXy++mGz2sZ2t8XsH6vZcjffMn/61j31b9eM3nv S/5UzzZu+61oRaMvYP+tgcmCs0pf9vIj+zay6/u+scob40fx0oj557wf8b8m Y75BfYmEi3ie4Q9YL0u4uD5dgAHPuGj/3wJo/RK+s9ODbkVzAsleEn5s+k/5 z3P/uxb9QRkE1K/lYj5pG0T+KeEYD0FkPwnvmhh2MmB7EK1Xwr9VHdBevhFE eCDhmD+DAPUvEv77bWHH4W0GPiDhBj5B+YSJfFgaSufVzN72e5Q8c10o8clm slco5VMJ7yfmvzCyr+H5Ycb9iPGUaeDLJlyMn6ow4scmHPElnPDShLfS+1N4 OGA/xJQjHwgnPDKl74dT/WDGV22dnz43Ukf7sUA+10NH9ZiUpwpPerXrbuDf Uv7tlSXtVLE6yodSbhXyZ7f3zjrAfouU1+v5Qlk48Rcpx/ozHFAvIeUiXiWH k/9JuVhPJoQTnkr5b3vil2TKDeuVcoznMPI3KZ8z4entxelhgP0XKXd94nj/ q/1hxvoN4yeM8EHKB439KopFhNF5SLnov/NDCW+lXOQXb0KIj0i5yCcuhAD2 i6RYHy0LoXwj5chXQsi+Ur62w3F41MIXDech1nMFwYDzQCk38EWsf2W858Uv njydZeCLhnrL4E8y9PfqIKoXZFzEq/NBdH4t9ZHIf4OoPpdxke94B5E/yDjy 4UDj57j+QOoXyXA9ukDqD1E9lxMAOE+SYX02P4DylZRjfR9A+UaK9fRlf+Kb Fhzx0p/wyoLzV9sn7Cn0A+znmXORLy70o3rbjLvo85facG3KMd/5Uv4yofg3 1PsS7hHuJ1Fc9aH83cTmbhrz6utePsRn6tmYddb3wp54U31Si/2G8d7El6rZ z8UlBwZUeBG/q6T+hBflr3JjfsL4KmNi/tzpSXyslP2lxzNPQ74sZeJ5H/Qg e5Qyn2XRoVddDfm4jIn8Rt6a8kU59odOtSL/qWTup59s+0npRnynmol87qwr 9V+q2cku3U9Y9nMlfKxhiUphwvECF8LHGuwnLXCheKuh57kQ3tVQ/83Z2F/K u7vSqrj1f9e3953M/7DXyXi/yF8dnagerGEXSpPMp65yJH+sYcinHIz5o3Du kaRBXzsQnlexeRO8D6343Z7iq4oNFvtV9tS/q6B+l5b4eDm71G1GhMcxO9p/ KZvbbveaMx81FM/FbHHBpfd2fhrA/vdHep+a7JvP7np0DJy5WkX48Iqt1WZf qJlqS/iXzXIzSxLegg2dz0W2cVLu6xMKBRj67bYn7Pm4IVZUPz0S/lfQc2/r /XLC4zdC++Vtur4rlBJfKhC+fr130Y22FnR/ieA4JHLn3xvMyJ7lwrFOZ540 FZtQ/FcJc8evuj9/uMSQT4VjoJk3c2+jQPWckOt+50bq/joB+Wqz0HDwkmOC UC1gvEnAvP/D7/fUVQh4fiaQ9GrbtzeHlFH/2RTmpIUesthWTP1sMzDMQ7Be Nof4hoQjOvd3AtYfLdcDu99/c+W1gP5rAdPr9t6fbf9MwHmuBXh8+t7zqe99 AfHKAlJtpyzVRtwy9td5Q5PyRPU5gfARJOIA+WdmmC/CwIP3fZb8yQz6UL4x J+JV5h2G65XC2eNj3Es2vGVo75bPr42b2XT1M0P+LYXeE3rY9R1azjB+LGBy UfQ4aUoVw3m9OeB8o4YhHzODY5lLy/a8rWOG+d0E8f4GmmeYwvQdA4RJ5xqZ Yb6L87ImhvnBBHDeJqF5cqPwoH7Z0itfSbihv57osKHi9nfNDOvZcmHO9ZyH nVIbaX71WZhTPPqTW796hvjxXojPX9H9pLqW5ievhaxBu/6Z/LyK9p8jpB8e 9LH0VgXNb7KE9e7t1N5ZZQz9609hffmvdT1MSmm+dkiAocebJx35zDC+DrFc mduEhk2FDPsf6Sy1+q+w7v98YGi/GwxMdmVfkufR/OUey93s7XWu6wOGfOyZ cR6HfDuXpYoD858Z8v03LFVsWO6necVblvpCbIgJ+Lx8lrhqUeQIzTWap3xk qWllioXTrwionyliknSn3rp2s+j7JSw3dM/Adewmo3qJ6byurP/r7+c0nypj 8R2ydDMGvmdYz5Sy6RnqDcO8PzIDHhwLyHya5FvEsP4uZcMmzdyZpCuheVoJ mz4149iGNy3/LxqkmD3/8ubAJb+Wk30/s+ikcnPPw4Z52Scmf/E8eOCpapon FTBdwuTP3R7VMsSLd4ynh/xe4NrAMJ/ksWNem1r3X9xE879X7Hbt8MZDqRLS Sz9mbwcJ8Uv1PEt0gDtsZocv5vweZkZ6yDTWPckxOX6HOUf8vCQMS+/vZ6KS kp7lnnCsx4fNdptkpI99IWT2mxg01N2SnpcvNISs1eWct+JiuL4qFDbf9M/4 vo+C9AClQtLVH085FtjQvLhC2J3c2efRClvST1ULsTGZZu03qjj6T51garoj y2q0mvSHTcKFfSvm3AvS0LxcAm8G+E34oVRD+zMBSAkpUP5qR/sxBaezueeW zdAa9RQfGzteexFiT/oWc8D5uD3H87SAsz3m9mq9xoHm6VJY5ZS8zzTKEfVi XjLSDziSnlwGc7ace5A4xYn0tXIYkt9+8r/NTjRPl9PznFHfdVBO83wX0oPK YfKmn/r03OxC+nM5zfNd6XmWcO3A+eb3S1xp3m+J+yl3Jf2AJXzIvvKL+Sg3 0n9YQt8EL813192M30d9RCvSI1iC4skXHbpPdCd9hxzCVp45/uRRa9JryiHB au3tSakexv3d7eMcM7DBw6iXn6Rpk389yZP0TlLUe/zhSfpKKXTS62GsvEiv IQUPafzldn29OPFx1Nes9KL1S8Hs5P0Fo656kR5cClt29L+6aYQ3N+D59ZRZ 17Vl3hzznxQ2i5/7kJ5Kinqhkz70+wYpWIVOvFbw0Yf0RDKYO2nGjjWuvqTv kEFu1pPm8g6+pPeRoZ4m0Zf0xjJI2nDoQMIcX9QDKuSk7/El/b0cIlfWLH1l 50d6D0vc/3yDnscKusbx8cM/+NH6rVCvNNCfY71sDR/mVX017A9/8i8FaJ4s c+vrF0DnawPSx8O3xK0JoP3YwIlu2/cpSwNIf6iEpqD2be8PCKT1K+HdgGmd Fp4OJD2gEvVDsiDSu9ji/r8OIr2KLZ7PiSDUOy+xRX1OVRDpy2xxfe2CyV9t IV70h2CKf1tY36njhtdXg0kvawvbi0cVdqkz6KlsIfaVNG1DRIjxWvz9ybgQ 4/0T3qfdLdzy3/VPk/d6HIoOJT27LVya2bNdU04oxaMt7TeM9mdYfxjpx1SQ 6bXR/YeiMMp/KtSftQ6n33+ooPeavpsUXcNJv6pCPdnYcPJPFSyARTfZD+Go l/pOBV8k7q50exlO/q9CPaJGh3qzRyqY+se4Ao9IHeGRGvWbfXWk51ejHne8 jvTLavx9ygUd4Zka9ax/6VAf3oX05sd1pL/SoL44RYe/B/EnPXm8jvBBDT4j ur4vLjT8nkdNerlw+v2Imn7fE0b4qobpm/4N6L8hjPTCalAMK8m5lhBGemM1 rHW6MldeEkr6YTW8PDywwOV8qFEfKcbLolDSx6oh+6D/WPPhoagfW69G+7cJ Rb3VZjVIhtwYcNIjlPxJjfo6RSjxFTXG7+4Q1OseU8P/iqKSwseEkD5IDf3z RsBV7xDUD11Rox7sbTDpvdRwrdfnU20PBnPkl/S+xGDUc91XU7wHc+wnqeFp v87pEx4GoZ75Ba3nf/9dNzRf9KnrGET6bjXFQyDpndSk1wskfbIa/XNYIOnv 1KjvkwUi3uxVoz9fCEB91WI1DFv3g4v36ACO8wg1pBbKXzjJA9Dfo9Wohzzj T78/UIMoNxrsj/qrf1TQfeyteVHVfqRnV8HuLlOcarb54f57q1DfGOtH+U2F 8XLPl/RqtjBvS92Z8ZN8KR8rwf3Z2YNJzT7kb0oYklRm1nO9QU9oA3LTN7+o 3HyMvzcS4+Vnb4pPBZ6/tzfxAwWe9y4v4++bUC/oRfzAGvV90z0JX60R///2 oHykQPvYexBeKcBh2Ve7Th5yN+o5jyQ/evratJVRj/nAZ2bGyh6udJ4K6K3c Vb9hlgv+vsFHASULciwmOrtQfCrgtHt5dNerzmRvaxi4TsdajXUmf7OGquYp PSosnAkPrUHkFyecONbT1jBMdXPxsb5OpGe2pvzrSPhkhe/b4Ujrs0J9H3Mk /LGC9F6Hs2PeOVA+sDTyC+S/lvD0sKXSPtaB7GFp5CPIX+Qwr1AwsVttT/Es B6X59aGe8faUL+T0fC3xCRnqA7dqKT+25Det24aHqXbG/Dr48m9fVuk0hFfm 8Khffe5YJzXhvSnxHRXpi03gUPmTb8dUKil/SaBzwvqvR2fYcIPeSvXsoXrQ bQXpgyVwttK8ePZda6PedIRm9KDzp6xovyYQr3j5xzQvS8IfU7pfSvhlBhW/ 1Hzq3c2C+KQ5IH8158hvzaF/2ytvZh00o/M0p+eb0v0WgPzVhPzVAo7NnPbL pzESI3/QKfMfT5U1ER+Xgmpl7bKLH+qIf8vA43Vkm4Wjqxmur4XfifVSOekV ZSBRJKcEdi1i6B9y2F7v3G7W/DdUb8khdfeZh/2sbjOaP4NE3lSTL1ktkH4C JNv/Ch8+6TLVwzJIHeN7cIfb31QPyyBr1NO0Wz9nC8gvZMBLboXLcnIEfL8U 9g8J2zql/SvSY7Xsp3+r3plv3giYT6Sw4tWrDpXt3wkY7xawPnHWstRfCgTk PxbA779wmBpQJGC/t6W+HrZobfWoEgHzYcv1EvnhrNAyAe1tBvPyimaVyytI r2gGAZLuT8M+VJK+0RSObVk9bte/1bQfE8B+QK1g0B/D1OEji9PqSa8ogcFp +X8/Ot1I328SPlROj716opn20yBUzI13Hf1QQvPHOtJvmVA/pkYYHXfq9Own ptQvqRI2b/m2ZskzM+qXVAgZ5Z4d178wp35QGenDLACfX0LXUuqvFdH9MuoH faDny6m//lYQ3BbcG3jfkvojucKvXZ4m2v9tZdSb8bQ/RwiXral/fk/YCp+V I08oDPMh0rvZUH/yuHC3h25axx+V1I87w1CvZmvUo83R2M9+5Kqi/lYW9uNW qKif/oi5DPtn0oMSFT3/OcP5qJr6Y69Z2s0XRZtb8ibW93lsU4eyXc/dNLS+ fOYTPu2Z+kcNzS8/4Pcfa6g//RH7eTo76vcXsh4xJdO//MmO9FZFDOejdqSf KKb32xv1Vti/cyD9QwXLTuk/xO+4I813KrDft9aJ5tkV7OZM339t+ztTf7CC ifPRMmfqJ7bUxaN6S5zmuVD/s5z270L91jImzrsHuNL8qRT339Yw7/7EcB7r RuvPp36eG+kxcvF8dhv6lTkMytetXvqNC+0nm/R5Bv3bHfYoc9SSnJtOpC/I YB5PEk+PHmnQ091iWyb/kPZroSP1A//C/SQ70nwwncUsP7buaalBv3cG+6MT HUi/0x/1cTn21F8/L4j6uvb2QP0SAfufWppvZQtWko0XresM9nhG82I7mmfn CckbFkb1OqOhfnaBgP1SDfV7SwS0l5rmBRUC9m8NesdaYfWWhx3mjFFTf7lJ wPWpab5iAlPbfi/dodaQnsmE5vUa0lOYwrCxPyu7nNaQHoX0Bo52NH8wA3y/ Hc1TzAHn91pavwXqD6q1NF+ygKdeU86uemtP9pMC9qsdwVCvi+f7vZNB/4Z6 g7MG+0kB9Ygu9HwpLNPrM2ca+tEWINrzhQvNWy0A9ZOu1M+3ANRnGub75qRf cCP7mdN+3WgebYbXYa3o/MzgeZ+Km9+cb0XzJVPSO7jTfNoERlw627b6H3fC AxNAf21N5y2h82hN9moSUJ/jQe9vEHD+6WHUJ4j6uyLDvL5awHmaJ+FRpYDz Q0+aH5UJ4jy32DAvKBZsH3/q1ambF80LCgScVxn0LHlCwLOOw6fXetF88Zkg yp0HeYOhXyjq/U56Ex6kCb1f/1V83twwD77MxHn9CB/yz3s43z7vQ/OgZwzn ab50/xu63xew3n5P82RfWm8hO3Vzs2Zdky/Ztxjn+b39KJ5KGe7Xj+bbZUyc 37z2o/5/Bep7AvwpnitJr+VP87Yq0nv6Ex7TdbE/7b+aifrHkADylxr2zeWN 72UTAmieX8PEee/+AJpf1jBxXvo4gPZTS/qDQNpPLeqVWCDFdy3NvwON+lxx fqUNMup9xfn5gyA6z2rUK6QY9JSVqBczCyF/rGDT0/+Y6r4ohPytHM+/PIT0 O2WopxoZSvFdyhz1etFroTRfpnmSdxjZu4zmU2GA9V8Zm6HJ3JX1Mozmd+Xs /xXTvyU= "]], LineBox[{{-42.345185307179584`, 5.734}, {-42.375185307179585`, 5.739}, {-42.406185307179584`, 5.744}, {-42.436185307179585`, 5.746}, {-42.45618530717959, 5.743}, {-42.31218530717959, 5.656}, {-42.12118530717959, 5.575}, {-42.07818530717959, 5.557}, {-42.01918530717958, 5.534}, {-41.939185307179585`, 5.503}, {-41.83018530717958, 5.461}, {-41.67818530717959, 5.406}, {-41.51918530717958, 5.352}, {-41.472185307179586`, 5.337}, {-41.411185307179586`, 5.318}, {-41.33118530717959, 5.294}, {-41.226185307179584`, 5.263}, {-41.08718530717959, 5.227}, {-40.90418530717959, 5.184}, {-40.674185307179584`, 5.14}, {-40.62918530717958, 5.133}, {-40.57118530717958, 5.124}, {-40.49618530717959, 5.114}, {-40.399185307179586`, 5.102}, {-40.27318530717959, 5.09}, {-40.11118530717959, 5.078}, {-39.899185307179586`, 5.07}, {-39.655185307179586`, 5.068}, {-39.60918530717959, 5.069}, {-39.55118530717959, 5.07}, {-39.476185307179584`, 5.071}, {-39.37918530717958, 5.074}, {-39.25418530717958, 5.078}, {-39.094185307179586`, 5.084}, {-38.88918530717959, 5.092}, {-38.58118530717959, 5.1}, {-38.54218530717959, 5.101}, {-38.491185307179585`, 5.101}, {-38.42618530717959, 5.102}, {-38.342185307179584`, 5.101}, {-38.23618530717958, 5.1}, {-38.09818530717959, 5.096}, {-37.92318530717959, 5.086}, {-37.69718530717959, 5.067}, {-37.454185307179586`, 5.038}, {-37.41018530717959, 5.031}, {-37.35418530717959, 5.022}, {-37.281185307179584`, 5.01}, {-37.186185307179585`, 4.993}, {-37.064185307179585`, 4.969}, {-36.90418530717959, 4.935}, {-36.692185307179585`, 4.883}, {-36.40718530717959, 4.805}, {-36.23918530717958, 4.756}, {-36.19018530717959, 4.742}, {-36.12618530717958, 4.722}, {-36.04218530717959, 4.697}, {-35.93218530717959, 4.663}, {-35.78518530717959, 4.619}, {-35.588185307179586`, 4.559}, {-35.31618530717959, 4.482}, {-34.933185307179585`, 4.389}, {-34.841185307179586`, 4.37}, {-34.741185307179585`, 4.351}, {-34.57218530717959, 4.324}, {-34.52318530717959, 4.317}, {-34.45818530717959, 4.308}, {-34.37318530717958, 4.299}, {-34.26018530717958, 4.288}, {-34.11018530717959, 4.278}, {-33.90718530717959, 4.271}, {-33.628185307179585`, 4.273}, {-33.23318530717958, 4.292}, {-33.13818530717958, 4.298}, {-33.03518530717959, 4.305}, {-32.92518530717959, 4.313}, {-32.805185307179585`, 4.321}, {-32.67518530717959, 4.329}, {-32.534185307179584`, 4.337}, {-32.38018530717959, 4.343}, {-32.213185307179586`, 4.345}, {-32.02918530717959, 4.344}, {-31.829185307179586`, 4.334}, {-31.609185307179587`, 4.315}, {-31.314185307179585`, 4.27}, {-31.274185307179586`, 4.263}, {-31.223185307179588`, 4.253}, {-31.157185307179585`, 4.239}, {-31.071185307179586`, 4.219}, {-30.959185307179585`, 4.19}, {-30.813185307179587`, 4.148}, {-30.620185307179586`, 4.085}, {-30.366185307179585`, 3.992}, {-30.029185307179585`, 3.851}, {-29.838185307179586`, 3.764}, {-29.751185307179586`, 3.724}, {-29.658185307179586`, 3.681}, {-29.560185307179587`, 3.635}, {-29.456185307179584`, 3.586}, {-29.347185307179586`, 3.535}, {-29.231185307179587`, 3.482}, {-29.108185307179586`, 3.427}, {-28.979185307179588`, 3.37}, {-28.841185307179586`, 3.313}, {-28.695185307179585`, 3.257}, {-28.540185307179588`, 3.201}, {-28.376185307179586`, 3.149}, {-28.200185307179588`, 3.102}, {-28.012185307179585`, 3.061}, {-27.809185307179586`, 3.029}, {-27.590185307179585`, 3.008}, {-27.352185307179585`, 3.}, {-27.092185307179587`, 3.005}, {-26.804185307179587`, 3.024}, {-26.482185307179588`, 3.051}, {-26.120185307179586`, 3.078}, {-25.709185307179585`, 3.087}, {-25.499185307179587`, 3.077}, {-25.405185307179586`, 3.07}, {-25.310185307179587`, 3.059}, {-25.212185307179585`, 3.045}, {-25.111185307179586`, 3.029}, {-25.008185307179588`, 3.008}, {-24.902185307179586`, 2.983}, {-24.796185307179588`, 2.955}, {-24.684185307179586`, 2.921}, {-24.571185307179586`, 2.883}, {-24.456185307179584`, 2.84}, {-24.339185307179587`, 2.792}, {-24.219185307179586`, 2.739}, {-24.098185307179588`, 2.681}, {-23.973185307179588`, 2.617}, {-23.848185307179588`, 2.549}, {-23.721185307179585`, 2.476}, {-23.593185307179585`, 2.399}, {-23.450185307179588`, 2.31}, {-23.409185307179587`, 2.284}, {-23.357185307179588`, 2.25}, {-23.291185307179585`, 2.207}, {-23.205185307179587`, 2.15}, {-23.096185307179585`, 2.077}, {-22.956185307179584`, 1.983}, {-22.778185307179587`, 1.864}, {-22.552185307179585`, 1.716}, {-22.268185307179586`, 1.542}, {-21.911185307179586`, 1.357}, {-21.716185307179586`, 1.279}, {-21.629185307179586`, 1.25}, {-21.536185307179586`, 1.224}, {-21.439185307179585`, 1.202}, {-21.338185307179586`, 1.184}, {-21.230185307179585`, 1.172}, {-21.116185307179585`, 1.167}, {-20.994185307179585`, 1.17}, {-20.863185307179585`, 1.182}, {-20.722185307179586`, 1.204}, {-20.568185307179586`, 1.238}, {-20.398185307179588`, 1.283}, {-20.208185307179587`, 1.34}, {-19.993185307179587`, 1.408}, {-19.745185307179586`, 1.481}, {-19.455185307179587`, 1.551}, {-19.110185307179584`, 1.599}, {-18.693185307179586`, 1.592}, {-18.600185307179586`, 1.58}, {-18.504185307179586`, 1.563}, {-18.403185307179584`, 1.541}, {-18.299185307179584`, 1.513}, {-18.190185307179586`, 1.479}, {-18.078185307179588`, 1.437}, {-17.961185307179587`, 1.388}, {-17.84018530717959, 1.33}, {-17.714185307179584`, 1.264}, {-17.584185307179588`, 1.188}, {-17.449185307179587`, 1.103}, {-17.310185307179587`, 1.007}, {-17.167185307179587`, 0.9}, {-17.020185307179588`, 0.784}, {-16.869185307179585`, 0.657}, {-16.714185307179584`, 0.52}, {-16.556185307179586`, 0.374}, {-16.395185307179588`, 0.219}, {-16.232185307179584`, 0.057}, {-16.066185307179587`, -0.11}, {-15.899185307179586`, -0.283}, \ {-15.731185307179587`, -0.458}, {-15.562185307179586`, -0.635}, \ {-15.394185307179587`, -0.811}, {-15.226185307179586`, -0.985}, \ {-15.060185307179585`, -1.155}, {-14.896185307179586`, -1.319}, \ {-14.734185307179587`, -1.476}, {-14.574185307179587`, -1.626}, \ {-14.418185307179586`, -1.766}, {-14.265185307179586`, -1.897}, \ {-14.120185307179586`, -2.016}, {-13.975185307179586`, -2.127}, \ {-13.835185307179586`, -2.227}, {-13.699185307179587`, -2.318}, \ {-13.567185307179585`, -2.398}, {-13.440185307179586`, -2.47}, \ {-13.318185307179586`, -2.532}, {-13.200185307179586`, -2.586}, \ {-13.085185307179586`, -2.632}, {-12.976185307179586`, -2.671}, \ {-12.872185307179587`, -2.703}, {-12.772185307179587`, -2.729}, \ {-12.676185307179587`, -2.749}, {-12.585185307179586`, -2.764}, \ {-12.279185307179587`, -2.786}, {-11.936185307179585`, -2.755}, \ {-11.663185307179585`, -2.684}, {-11.446185307179586`, -2.594}, \ {-11.275185307179587`, -2.495}, {-11.141185307179587`, -2.394}, \ {-11.039185307179586`, -2.292}, {-10.961185307179587`, -2.192}, \ {-10.906185307179587`, -2.093}, {-10.869185307179587`, -1.996}, \ {-10.847185307179586`, -1.902}, {-10.838185307179586`, -1.81}, \ {-10.841185307179586`, -1.721}, {-10.882185307179586`, -1.525}, \ {-10.895185307179586`, -1.489}, {-10.912185307179586`, -1.446}, \ {-10.935185307179587`, -1.394}, {-10.967185307179587`, -1.333}, \ {-11.010185307179587`, -1.264}, {-11.065185307179586`, -1.187}, \ {-11.133185307179586`, -1.107}, {-11.214185307179587`, -1.029}, \ {-11.304185307179587`, -0.962}, {-11.511185307179586`, -0.912}, \ {-11.525185307179587`, -0.931}, {-11.485185307179586`, -1.09}, \ {-11.406185307179587`, -1.242}, {-11.385185307179587`, -1.284}, \ {-11.310185307179587`, -1.446}, {-11.295185307179587`, -1.483}, \ {-11.278185307179587`, -1.532}, {-11.235185307179586`, -1.703}, \ {-11.229185307179586`, -1.748}, {-11.225185307179586`, -1.806}, \ {-11.226185307179586`, -1.88}, {-11.237185307179587`, -1.97}, \ {-11.270185307179586`, -2.085}, {-11.351185307179586`, -2.236}, \ {-11.551185307179587`, -2.435}, {-11.811185307179585`, -2.578}, \ {-11.977185307179585`, -2.635}, {-12.021185307179586`, -2.646}, \ {-12.081185307179586`, -2.659}, {-12.248185307179586`, -2.683}, \ {-12.301185307179587`, -2.687}, {-12.373185307179586`, -2.69}, \ {-12.582185307179586`, -2.681}, {-12.627185307179587`, -2.676}, \ {-12.686185307179585`, -2.668}, {-12.767185307179586`, -2.654}, \ {-12.876185307179586`, -2.63}, {-13.105185307179585`, -2.559}, \ {-13.144185307179587`, -2.545}, {-13.197185307179586`, -2.524}, \ {-13.266185307179587`, -2.495}, {-13.358185307179586`, -2.453}, \ {-13.483185307179586`, -2.39}, {-13.653185307179587`, -2.293}, \ {-13.916185307179585`, -2.119}, {-13.950185307179586`, -2.095}, \ {-13.994185307179587`, -2.064}, {-14.051185307179587`, -2.021}, \ {-14.125185307179585`, -1.963}, {-14.224185307179585`, -1.885}, \ {-14.355185307179585`, -1.776}, {-14.529185307179587`, -1.623}, \ {-14.763185307179587`, -1.405}, {-14.985185307179586`, -1.188}, \ {-15.053185307179586`, -1.121}, {-15.170185307179587`, -1.002}, \ {-15.204185307179586`, -0.967}, {-15.247185307179587`, -0.923}, \ {-15.303185307179586`, -0.865}, {-15.376185307179586`, -0.789}, \ {-15.470185307179586`, -0.691}, {-15.592185307179586`, -0.563}, \ {-15.751185307179586`, -0.397}, {-15.957185307179586`, -0.183}, \ {-16.22418530717959, 0.09}, {-16.372185307179585`, 0.238}, {-16.439185307179585`, 0.303}, {-16.510185307179587`, 0.371}, {-16.583185307179587`, 0.441}, {-16.66018530717959, 0.512}, {-16.798185307179587`, 0.637}, {-16.830185307179587`, 0.665}, {-16.870185307179586`, 0.701}, {-16.922185307179586`, 0.746}, {-16.989185307179586`, 0.801}, {-17.074185307179587`, 0.871}, {-17.181185307179586`, 0.956}, {-17.318185307179586`, 1.058}, {-17.490185307179587`, 1.177}, {-17.704185307179586`, 1.309}, {-17.969185307179586`, 1.445}, {-18.289185307179586`, 1.569}, {-18.454185307179586`, 1.615}, {-18.500185307179585`, 1.625}, {-18.558185307179585`, 1.637}, {-18.631185307179585`, 1.65}, {-18.722185307179586`, 1.663}, {-18.836185307179587`, 1.674}, {-18.97718530717959, 1.68}, {-19.150185307179587`, 1.677}, {-19.357185307179584`, 1.658}, {-19.659185307179584`, 1.607}, {-19.697185307179588`, 1.598}, {-19.747185307179585`, 1.588}, {-19.809185307179586`, 1.573}, {-19.886185307179588`, 1.555}, {-19.983185307179586`, 1.531}, {-20.10218530717959, 1.501}, {-20.249185307179587`, 1.464}, {-20.428185307179586`, 1.423}, {-20.595185307179584`, 1.391}, {-20.641185307179587`, 1.383}, {-20.699185307179587`, 1.375}, {-20.773185307179588`, 1.366}, {-20.867185307179586`, 1.358}, {-20.984185307179587`, 1.354}, {-21.133185307179588`, 1.359}, {-21.34618530717959, 1.387}, {-21.389185307179588`, 1.396}, {-21.445185307179585`, 1.409}, {-21.517185307179588`, 1.428}, {-21.610185307179584`, 1.456}, {-21.728185307179587`, 1.499}, {-21.882185307179586`, 1.564}, {-22.080185307179587`, 1.664}, {-22.120185307179586`, 1.685}, {-22.171185307179584`, 1.714}, {-22.236185307179586`, 1.751}, {-22.321185307179586`, 1.802}, {-22.430185307179585`, 1.871}, {-22.572185307179588`, 1.963}, {-22.756185307179585`, 2.087}, {-22.891185307179587`, 2.181}, {-22.930185307179585`, 2.208}, {-22.979185307179588`, 2.243}, {-23.043185307179588`, 2.287}, {-23.125185307179585`, 2.345}, {-23.231185307179587`, 2.418}, {-23.367185307179586`, 2.512}, {-23.541185307179585`, 2.629}, {-23.765185307179586`, 2.773}, {-24.048185307179587`, 2.942}, {-24.402185307179586`, 3.128}, {-24.592185307179587`, 3.215}, {-24.676185307179587`, 3.25}, {-24.763185307179587`, 3.285}, {-24.853185307179587`, 3.319}, {-24.946185307179586`, 3.352}, {-25.236185307179586`, 3.443}, {-25.398185307179585`, 3.486}, {-25.561185307179585`, 3.526}, {-25.725185307179586`, 3.562}, {-25.884185307179585`, 3.598}, {-26.047185307179586`, 3.636}, {-26.313185307179587`, 3.72}, {-26.384185307179585`, 3.901}, {-26.227185307179585`, 3.978}, {-26.049185307179584`, 4.028}, {-25.993185307179587`, 4.04}, {-25.914185307179586`, 4.054}, {-25.797185307179586`, 4.071}, {-25.624185307179587`, 4.086}, {-25.568185307179586`, 4.089}, {-25.493185307179587`, 4.092}, {-25.389185307179588`, 4.092}, {-25.241185307179585`, 4.087}, {-25.026185307179585`, 4.068}, {-24.779185307179585`, 4.029}, {-24.733185307179586`, 4.02}, {-24.672185307179586`, 4.007}, {-24.591185307179586`, 3.988}, {-24.482185307179588`, 3.961}, {-24.335185307179586`, 3.918}, {-24.131185307179585`, 3.851}, {-23.845185307179587`, 3.743}, {-23.558185307179585`, 3.623}, {-23.468185307179585`, 3.583}, {-23.371185307179587`, 3.54}, {-23.267185307179588`, 3.493}, {-23.154185307179585`, 3.443}, {-22.967185307179587`, 3.36}, {-22.924185307179584`, 3.341}, {-22.868185307179587`, 3.317}, {-22.795185307179587`, 3.286}, {-22.699185307179587`, 3.246}, {-22.573185307179585`, 3.196}, {-22.405185307179586`, 3.133}, {-22.178185307179586`, 3.059}, {-21.865185307179587`, 2.979}, {-21.557185307179587`, 2.929}, {-21.461185307179587`, 2.919}, {-21.357185307179584`, 2.911}, {-21.245185307179586`, 2.906}, {-21.122185307179585`, 2.905}, {-20.989185307179586`, 2.908}, {-20.84318530717959, 2.915}, {-20.682185307179587`, 2.926}, {-20.503185307179585`, 2.943}, {-20.304185307179587`, 2.964}, {-20.082185307179586`, 2.987}, {-19.830185307179587`, 3.009}, {-19.545185307179587`, 3.023}, {-19.21818530717959, 3.018}, {-18.844185307179586`, 2.976}, {-18.426185307179587`, 2.877}, {-18.386185307179588`, 2.865}, {-18.334185307179588`, 2.848}, {-18.266185307179587`, 2.824}, {-18.178185307179586`, 2.792}, {-18.063185307179587`, 2.746}, {-17.912185307179584`, 2.679}, {-17.71518530717959, 2.582}, {-17.455185307179587`, 2.438}, {-17.113185307179585`, 2.228}, {-17.03518530717959, 2.178}, {-16.954185307179586`, 2.124}, {-16.868185307179587`, 2.067}, {-16.777185307179586`, 2.007}, {-16.683185307179585`, 1.943}, {-16.583185307179587`, 1.876}, {-16.478185307179587`, 1.806}, {-16.368185307179587`, 1.733}, {-16.252185307179587`, 1.658}, {-16.131185307179585`, 1.582}, {-16.004185307179586`, 1.505}, {-15.870185307179586`, 1.43}, {-15.730185307179585`, 1.357}, {-15.583185307179587`, 1.289}, {-15.428185307179586`, 1.229}, {-15.264185307179586`, 1.178}, {-15.089185307179585`, 1.142}, {-14.902185307179586`, 1.123}, {-14.698185307179585`, 1.126}, {-14.472185307179586`, 1.155}, {-14.216185307179586`, 1.216}, {-13.914185307179586`, 1.309}, {-13.547185307179586`, 1.427}, {-13.344185307179586`, 1.485}, {-13.249185307179587`, 1.508}, {-13.150185307179587`, 1.53}, {-13.044185307179585`, 1.55}, {-12.933185307179587`, 1.566}, {-12.814185307179585`, 1.578}, {-12.689185307179585`, 1.584}, {-12.555185307179586`, 1.583}, {-12.413185307179585`, 1.574}, {-12.262185307179585`, 1.553}, {-12.100185307179586`, 1.519}, {-11.929185307179587`, 1.47}, {-11.747185307179587`, 1.402}, {-11.553185307179586`, 1.314}, {-11.347185307179586`, 1.202}, {-11.131185307179585`, 1.065}, {-10.902185307179586`, 0.901}, {-10.663185307179585`, 0.71}, {-10.413185307179585`, 0.492}, {-10.155185307179586`, 0.249}, {-9.890185307179586, -0.014}, {-9.619185307179587, -0.292}, \ {-9.345185307179586, -0.578}, {-9.071185307179586, -0.865}, \ {-8.798185307179587, -1.145}, {-8.530185307179586, -1.413}, \ {-8.268185307179586, -1.66}, {-8.014185307179586, -1.885}, \ {-7.769185307179586, -2.083}, {-7.536185307179586, -2.254}, \ {-7.314185307179586, -2.398}, {-7.1031853071795865`, -2.516}, \ {-6.905185307179586, -2.61}, {-6.718185307179586, -2.684}, \ {-6.543185307179586, -2.738}, {-6.380185307179587, -2.776}, \ {-6.227185307179586, -2.801}, {-6.084185307179586, -2.814}, \ {-5.950185307179586, -2.818}, {-5.826185307179586, -2.813}, \ {-5.710185307179586, -2.802}, {-5.602185307179586, -2.786}, \ {-5.501185307179586, -2.766}, {-5.408185307179586, -2.743}, \ {-5.113185307179586, -2.638}, {-4.819185307179586, -2.473}, \ {-4.617185307179586, -2.302}, {-4.483185307179586, -2.132}, \ {-4.404185307179587, -1.964}, {-4.367185307179586, -1.797}, \ {-4.364185307179586, -1.632}, {-4.390185307179586, -1.468}, \ {-4.439185307179586, -1.307}, {-4.527185307179586, -1.113}, \ {-4.548185307179586, -1.074}, {-4.575185307179586, -1.026}, \ {-4.612185307179586, -0.967}, {-4.661185307179586, -0.893}, \ {-4.726185307179586, -0.804}, {-4.8131853071795865`, -0.697}, \ {-4.926185307179586, -0.575}, {-5.072185307179586, -0.438}, \ {-5.256185307179586, -0.295}, {-5.480185307179586, -0.157}, \ {-5.743185307179586, -0.04}, {-6.041185307179586, 0.044}, {-6.395185307179586, 0.094}, {-6.433185307179587, 0.097}, {-6.480185307179586, 0.101}, {-6.5391853071795865`, 0.105}, {-6.612185307179586, 0.11}, {-6.700185307179586, 0.116}, {-6.806185307179586, 0.124}, {-6.9301853071795865`, 0.137}, {-7.073185307179586, 0.16}, {-7.230185307179586, 0.201}, {-7.386185307179586, 0.273}, {-7.4221853071795865`, 0.297}, {-7.464185307179586, 0.33}, {-7.508185307179586, 0.376}, {-7.549185307179586, 0.441}, {-7.572185307179586, 0.531}, {-7.550185307179586, 0.663}, {-7.512185307179586, 0.735}, {-7.508185307179586, 0.742}, {-7.328185307179586, 0.939}, {-7.081185307179586, 1.113}, {-6.790185307179586, 1.253}, {-6.477185307179586, 1.344}, {-6.160185307179586, 1.378}, {-5.858185307179586, 1.357}, {-5.580185307179586, 1.295}, {-5.336185307179586, 1.207}, {-5.1271853071795865`, 1.108}, {-4.952185307179587, 1.01}, {-4.808185307179587, 0.919}, {-4.691185307179586, 0.84}, {-4.598185307179586, 0.772}, {-4.5231853071795864`, 0.716}, {-4.464185307179586, 0.67}, {-4.418185307179586, 0.633}, {-4.381185307179586, 0.603}, {-4.250185307179587, 0.493}, {-4.175185307179586, 0.428}, {-4.099185307179586, 0.361}, {-4.0231853071795864`, 0.292}, {-3.9471853071795864`, 0.221}, {-3.8711853071795863`, 0.149}, {-3.7941853071795864`, 0.075}, {-3.7171853071795864`, 0}, {-3.6401853071795864`, -0.076}, {-3.563185307179586, -0.154}, \ {-3.486185307179586, -0.232}, {-3.409185307179586, -0.31}, \ {-3.333185307179586, -0.389}, {-3.256185307179586, -0.469}, \ {-3.180185307179586, -0.548}, {-3.1041853071795864`, -0.628}, \ {-3.0281853071795863`, -0.707}, {-2.953185307179586, -0.786}, \ {-2.8781853071795864`, -0.864}, {-2.8031853071795862`, -0.942}, \ {-2.7301853071795863`, -1.018}, {-2.6571853071795863`, -1.094}, \ {-2.5841853071795864`, -1.169}, {-2.513185307179586, -1.242}, \ {-2.441185307179586, -1.314}, {-2.3711853071795863`, -1.385}, \ {-2.301185307179586, -1.454}, {-2.2331853071795864`, -1.521}, \ {-2.165185307179586, -1.587}, {-2.0981853071795866`, -1.651}, \ {-1.9451853071795862`, -1.795}, {-1.6331853071795859`, -2.068}, \ {-1.346185307179586, -2.294}, {-1.083185307179586, -2.477}, \ {-0.8441853071795862, -2.622}, {-0.628185307179586, -2.734}, \ {-0.4311853071795859, -2.819}, {-0.2541853071795863, -2.882}, \ {-0.09318530717958584, -2.928}, {0.052814692820414066`, -2.96}, { 0.18481469282041374`, -2.982}, {0.3058146928204142, -2.995}, { 0.41481469282041417`, -3.003}, {0.5148146928204138, -3.006}, { 0.8228146928204136, -2.991}, {1.113814692820414, -2.948}, { 1.3118146928204135`, -2.903}, {1.4508146928204138`, -2.865}, { 1.549814692820414, -2.835}, {1.6238146928204138`, -2.811}, { 1.677814692820414, -2.792}, {1.7178146928204132`, -2.778}, { 1.9188146928204137`, -2.7}, {2.116814692820414, -2.614}, { 2.3918146928204145`, -2.472}, {2.549814692820414, -2.372}, { 2.6468146928204135`, -2.3}, {2.709814692820414, -2.245}, { 2.751814692820414, -2.204}, {2.8618146928204133`, -2.064}, { 2.921814692820414, -1.945}, {2.9498146928204143`, -1.855}, { 2.962814692820414, -1.786}, {2.967814692820413, -1.734}, { 2.9688146928204144`, -1.693}, {2.951814692820413, -1.485}, { 2.9348146928204137`, -1.402}, {2.9188146928204137`, -1.339}, { 2.9048146928204144`, -1.292}, {2.850814692820414, -1.135}, { 2.8198146928204135`, -1.056}, {2.794814692820413, -0.998}, { 2.775814692820413, -0.954}, {2.695814692820413, -0.79}, { 2.6678146928204143`, -0.736}, {2.6468146928204135`, -0.696}, { 2.557814692820413, -0.546}, {2.530814692820414, -0.503}, { 2.5088146928204136`, -0.47}, {2.4028146928204137`, -0.327}, { 2.3748146928204132`, -0.291}, {2.2618146928204137`, -0.162}, { 2.224814692820413, -0.122}, {2.1948146928204135`, -0.09}, { 2.076814692820413, 0.026}, {2.036814692820414, 0.064}, { 2.0038146928204146`, 0.094}, {1.8668146928204141`, 0.212}, { 1.8308146928204145`, 0.243}, {1.6958146928204139`, 0.349}, { 1.661814692820414, 0.376}, {1.435814692820414, 0.558}, { 1.440814692820414, 0.607}, {1.4638146928204137`, 0.603}, { 1.642814692820414, 0.531}, {1.7368146928204133`, 0.478}, { 1.8248146928204143`, 0.423}, {1.9028146928204137`, 0.37}, { 1.9708146928204133`, 0.321}, {2.0278146928204137`, 0.279}, { 2.0758146928204138`, 0.242}, {2.113814692820414, 0.212}, { 2.145814692820414, 0.187}, {2.3568146928204143`, 0.009}, { 2.621814692820413, -0.234}, {2.863814692820414, -0.468}, { 3.0748146928204143`, -0.68}, {3.2538146928204146`, -0.862}, { 3.4028146928204137`, -1.014}, {3.523814692820414, -1.139}, { 3.621814692820413, -1.238}, {3.6998146928204143`, -1.318}, { 3.7608146928204143`, -1.38}, {3.8098146928204137`, -1.429}, { 3.8488146928204134`, -1.468}, {3.8788146928204146`, -1.498}, { 4.026814692820414, -1.644}, {4.143814692820413, -1.757}, { 4.257814692820414, -1.865}, {4.368814692820413, -1.967}, { 4.475814692820414, -2.063}, {4.578814692820414, -2.153}, { 4.677814692820414, -2.237}, {4.772814692820413, -2.315}, { 4.8648146928204135`, -2.388}, {4.951814692820413, -2.455}, { 5.035814692820415, -2.517}, {5.115814692820413, -2.573}, { 5.291814692820413, -2.691}, {5.610814692820414, -2.874}, { 5.855814692820413, -2.99}, {6.042814692820414, -3.063}, { 6.186814692820414, -3.11}, {6.297814692820413, -3.141}, { 6.382814692820414, -3.161}, {6.447814692820414, -3.175}, { 6.498814692820414, -3.185}, {6.6738146928204145`, -3.212}, { 6.790814692820414, -3.224}, {6.900814692820413, -3.231}, { 7.002814692820413, -3.235}, {7.097814692820414, -3.236}, { 7.497814692820414, -3.214}, {7.781814692820413, -3.18}, { 7.988814692820414, -3.15}, {8.140814692820413, -3.126}, { 8.253814692820415, -3.108}, {8.339814692820413, -3.095}, { 8.404814692820414, -3.085}, {8.453814692820414, -3.078}, { 8.621814692820413, -3.055}, {8.926814692820415, -3.024}, { 9.142814692820414, -3.013}, {9.300814692820413, -3.013}, { 9.418814692820414, -3.018}, {9.507814692820414, -3.024}, { 9.575814692820414, -3.03}, {9.626814692820414, -3.036}, { 9.666814692820413, -3.042}, {9.950814692820416, -3.094}, { 10.124814692820415`, -3.139}, {10.255814692820415`, -3.18}, { 10.356814692820414`, -3.214}, {10.435814692820415`, -3.243}, { 10.495814692820414`, -3.266}, {10.542814692820414`, -3.285}, { 10.578814692820412`, -3.3}, {10.835814692820414`, -3.412}, { 10.993814692820415`, -3.485}, {11.115814692820415`, -3.543}, { 11.210814692820414`, -3.588}, {11.284814692820415`, -3.624}, { 11.342814692820415`, -3.651}, {11.386814692820415`, -3.672}, { 11.541814692820413`, -3.745}, {11.712814692820412`, -3.824}, { 11.841814692820414`, -3.881}, {11.939814692820413`, -3.922}, { 12.013814692820414`, -3.953}, {12.068814692820414`, -3.975}, { 12.110814692820412`, -3.992}, {12.295814692820414`, -4.064}, { 12.398814692820412`, -4.103}, {12.467814692820415`, -4.13}, { 12.610814692820412`, -4.208}, {12.599814692820413`, -4.223}, { 12.568814692820414`, -4.231}, {12.529814692820413`, -4.235}, { 12.489814692820413`, -4.235}, {12.452814692820414`, -4.235}, { 12.419814692820413`, -4.233}, {12.133814692820415`, -4.198}, { 11.923814692820415`, -4.156}, {11.724814692820413`, -4.106}, { 11.545814692820414`, -4.056}, {11.389814692820412`, -4.008}, { 11.256814692820413`, -3.965}, {11.146814692820413`, -3.928}, { 11.055814692820412`, -3.898}, {10.982814692820412`, -3.873}, { 10.923814692820415`, -3.852}, {10.876814692820414`, -3.836}, { 10.838814692820414`, -3.824}, {10.620814692820414`, -3.75}, { 10.499814692820415`, -3.71}, {10.377814692820415`, -3.672}, { 10.254814692820414`, -3.636}, {10.132814692820414`, -3.602}, { 10.009814692820413`, -3.57}, {9.886814692820415, -3.541}, { 9.762814692820413, -3.516}, {9.639814692820414, -3.494}, { 9.516814692820414, -3.476}, {9.392814692820414, -3.461}, { 9.269814692820415, -3.45}, {9.146814692820413, -3.442}, { 9.024814692820414, -3.438}, {8.902814692820414, -3.437}, { 8.780814692820414, -3.439}, {8.659814692820413, -3.444}, { 8.539814692820414, -3.45}, {8.419814692820413, -3.458}, { 8.301814692820415, -3.468}, {8.184814692820414, -3.478}, { 8.068814692820414, -3.488}, {7.954814692820413, -3.498}, { 7.842814692820413, -3.508}, {7.731814692820414, -3.517}, { 7.623814692820414, -3.524}, {7.517814692820414, -3.53}, { 7.413814692820413, -3.535}, {7.312814692820414, -3.537}, { 7.214814692820413, -3.537}, {7.119814692820414, -3.536}, { 7.026814692820414, -3.533}, {6.817814692820415, -3.517}, { 6.424814692820414, -3.454}, {6.1098146928204145`, -3.367}, { 5.862814692820415, -3.276}, {5.670814692820414, -3.192}, { 5.523814692820414, -3.118}, {5.410814692820415, -3.057}, { 5.323814692820413, -3.008}, {5.256814692820413, -2.968}, { 5.204814692820413, -2.937}, {5.164814692820414, -2.912}, { 5.001814692820414, -2.807}, {4.925814692820413, -2.755}, { 4.577814692820414, -2.508}, {4.292814692820414, -2.3}, { 4.065814692820414, -2.142}, {3.887814692820413, -2.038}, { 3.7498146928204132`, -1.983}, {3.639814692820414, -1.97}, { 3.5478146928204133`, -1.992}, {3.4608146928204135`, -2.039}, { 3.3678146928204136`, -2.107}, {3.2588146928204136`, -2.19}, { 3.1178146928204136`, -2.284}, {2.929814692820413, -2.39}, { 2.6738146928204145`, -2.51}, {2.3198146928204135`, -2.654}, { 2.2338146928204132`, -2.686}, {2.142814692820414, -2.72}, { 2.0438146928204137`, -2.755}, {1.9378146928204139`, -2.791}, { 1.823814692820413, -2.828}, {1.7008146928204138`, -2.866}, { 1.568814692820414, -2.903}, {1.4258146928204134`, -2.94}, { 1.270814692820414, -2.975}, {1.1038146928204133`, -3.006}, { 0.9228146928204142, -3.031}, {0.7268146928204136, -3.046}, { 0.5148146928204138, -3.048}, {0.2858146928204137, -3.032}, { 0.0378146928204135, -2.992}, {-0.22818530717958652`, -2.922}, \ {-0.5131853071795867, -2.815}, {-0.8161853071795866, -2.665}, \ {-1.136185307179586, -2.469}, {-1.4701853071795865`, -2.224}, \ {-1.7221853071795863`, -2.017}, {-1.7911853071795862`, -1.956}, \ {-1.8611853071795865`, -1.895}, {-1.931185307179586, -1.831}, \ {-2.001185307179586, -1.767}, {-2.0711853071795865`, -1.701}, \ {-2.141185307179586, -1.634}, {-2.211185307179586, -1.566}, \ {-2.2811853071795865`, -1.497}, {-2.352185307179586, -1.428}, \ {-2.422185307179586, -1.357}, {-2.4921853071795863`, -1.286}, \ {-2.562185307179586, -1.215}, {-2.631185307179586, -1.143}, \ {-2.7011853071795864`, -1.072}, {-2.7701853071795863`, -1.}, \ {-2.8391853071795863`, -0.928}, {-2.9071853071795863`, -0.857}, \ {-2.9761853071795863`, -0.785}, {-3.043185307179586, -0.715}, \ {-3.111185307179586, -0.644}, {-3.1771853071795864`, -0.575}, \ {-3.244185307179586, -0.506}, {-3.309185307179586, -0.438}, \ {-3.3741853071795864`, -0.371}, {-3.4391853071795864`, -0.305}, \ {-3.587185307179586, -0.155}, {-3.892185307179586, 0.142}, {-4.177185307179586, 0.402}, {-4.443185307179586, 0.623}, {-4.6881853071795865`, 0.805}, {-4.913185307179586, 0.952}, {-5.1191853071795865`, 1.067}, {-5.307185307179586, 1.154}, {-5.479185307179586, 1.219}, {-5.6351853071795865`, 1.264}, {-5.777185307179586, 1.293}, {-5.907185307179586, 1.31}, {-6.025185307179586, 1.317}, {-6.134185307179586, 1.315}, {-6.232185307179586, 1.308}, {-6.615185307179586, 1.216}, {-6.862185307179586, 1.095}, {-7.021185307179586, 0.976}, {-7.120185307179586, 0.869}, {-7.205185307179586, 0.663}, {-7.019185307179586, 0.396}, {-6.624185307179586, 0.271}, {-6.535185307179586, 0.255}, {-6.444185307179586, 0.238}, {-6.350185307179586, 0.221}, {-6.255185307179587, 0.202}, {-6.157185307179586, 0.181}, {-6.058185307179587, 0.156}, {-5.957185307179587, 0.128}, {-5.856185307179587, 0.094}, {-5.754185307179586, 0.056}, {-5.651185307179587, 0.012}, {-5.549185307179586, -0.038}, {-5.448185307179586, -0.094}, \ {-5.347185307179586, -0.157}, {-5.248185307179586, -0.225}, \ {-5.151185307179587, -0.299}, {-5.057185307179586, -0.379}, \ {-4.966185307179586, -0.463}, {-4.878185307179586, -0.552}, \ {-4.796185307179586, -0.645}, {-4.718185307179587, -0.741}, \ {-4.645185307179586, -0.839}, {-4.5791853071795865`, -0.939}, \ {-4.519185307179586, -1.04}, {-4.467185307179586, -1.142}, \ {-4.421185307179586, -1.243}, {-4.384185307179586, -1.345}, \ {-4.356185307179587, -1.445}, {-4.336185307179586, -1.544}, \ {-4.326185307179586, -1.642}, {-4.326185307179586, -1.738}, \ {-4.3371853071795865`, -1.833}, {-4.358185307179586, -1.926}, \ {-4.391185307179587, -2.017}, {-4.437185307179586, -2.107}, \ {-4.495185307179586, -2.195}, {-4.567185307179586, -2.282}, \ {-4.654185307179587, -2.366}, {-4.757185307179586, -2.449}, \ {-4.8771853071795865`, -2.529}, {-5.016185307179587, -2.605}, \ {-5.175185307179586, -2.676}, {-5.356185307179587, -2.738}, \ {-5.561185307179587, -2.787}, {-5.792185307179587, -2.818}, \ {-6.051185307179586, -2.822}, {-6.339185307179586, -2.789}, \ {-6.658185307179586, -2.708}, {-7.008185307179586, -2.567}, \ {-7.282185307179586, -2.42}, {-7.359185307179587, -2.374}, \ {-7.436185307179587, -2.324}, {-7.515185307179586, -2.271}, \ {-7.594185307179586, -2.216}, {-7.675185307179586, -2.158}, \ {-7.756185307179586, -2.096}, {-7.838185307179586, -2.032}, \ {-7.920185307179587, -1.966}, {-8.004185307179586, -1.896}, \ {-8.087185307179587, -1.825}, {-8.171185307179586, -1.751}, \ {-8.256185307179587, -1.674}, {-8.341185307179586, -1.596}, \ {-8.426185307179587, -1.516}, {-8.511185307179586, -1.434}, \ {-8.596185307179587, -1.35}, {-8.682185307179587, -1.266}, \ {-8.767185307179586, -1.18}, {-8.852185307179585, -1.093}, \ {-8.937185307179586, -1.006}, {-9.022185307179587, -0.918}, \ {-9.106185307179587, -0.831}, {-9.190185307179586, -0.743}, \ {-9.273185307179586, -0.656}, {-9.356185307179587, -0.569}, \ {-9.438185307179586, -0.483}, {-9.520185307179586, -0.397}, \ {-9.601185307179586, -0.313}, {-9.680185307179586, -0.23}, \ {-9.760185307179587, -0.149}, {-9.838185307179586, -0.069}, \ {-9.915185307179586, 0.009}, {-9.991185307179586, 0.086}, {-10.066185307179586`, 0.16}, {-10.140185307179586`, 0.232}, {-10.213185307179586`, 0.303}, {-10.285185307179585`, 0.371}, {-10.356185307179587`, 0.437}, {-10.426185307179587`, 0.5}, {-10.495185307179586`, 0.562}, {-10.822185307179586`, 0.836}, {-11.119185307179587`, 1.054}, {-11.388185307179587`, 1.222}, {-11.629185307179586`, 1.348}, {-11.847185307179586`, 1.438}, {-12.042185307179587`, 1.5}, {-12.217185307179587`, 1.541}, {-12.375185307179585`, 1.565}, {-12.518185307179586`, 1.577}, {-12.647185307179587`, 1.58}, {-12.764185307179586`, 1.576}, {-12.871185307179587`, 1.568}, {-12.968185307179585`, 1.556}, {-13.268185307179586`, 1.498}, {-13.557185307179587`, 1.417}, {-13.757185307179586`, 1.353}, {-13.901185307179587`, 1.305}, {-14.007185307179586`, 1.27}, {-14.085185307179586`, 1.245}, {-14.145185307179586`, 1.227}, {-14.190185307179586`, 1.214}, {-14.461185307179587`, 1.147}, {-14.789185307179586`, 1.11}, {-15.094185307179586`, 1.13}, {-15.386185307179586`, 1.202}, {-15.673185307179587`, 1.317}, {-15.957185307179586`, 1.466}, {-16.241185307179585`, 1.638}, {-16.524185307179586`, 1.824}, {-16.806185307179586`, 2.014}, {-17.085185307179586`, 2.198}, {-17.359185307179587`, 2.369}, {-17.627185307179587`, 2.522}, {-17.887185307179585`, 2.654}, {-18.138185307179587`, 2.763}, {-18.379185307179586`, 2.848}, {-18.610185307179584`, 2.912}, {-18.829185307179586`, 2.957}, {-19.03818530717959, 2.986}, {-19.236185307179586`, 3.001}, {-19.423185307179587`, 3.006}, {-19.601185307179584`, 3.002}, {-19.769185307179587`, 2.993}, {-19.929185307179587`, 2.98}, {-20.081185307179588`, 2.965}, {-20.225185307179586`, 2.949}, {-20.362185307179587`, 2.934}, {-20.493185307179587`, 2.919}, {-20.618185307179587`, 2.906}, {-20.738185307179585`, 2.894}, {-20.853185307179587`, 2.886}, {-20.963185307179586`, 2.879}, {-21.069185307179588`, 2.875}, {-21.172185307179586`, 2.874}, {-21.271185307179586`, 2.875}, {-21.366185307179585`, 2.878}, {-21.458185307179587`, 2.884}, {-21.882185307179586`, 2.944}, {-22.252185307179587`, 3.039}, {-22.582185307179586`, 3.152}, {-22.876185307179586`, 3.269}, {-23.142185307179588`, 3.382}, {-23.380185307179588`, 3.484}, {-23.595185307179587`, 3.574}, {-23.789185307179586`, 3.651}, {-23.962185307179585`, 3.714}, {-24.118185307179587`, 3.766}, {-24.257185307179586`, 3.807}, {-24.382185307179586`, 3.839}, {-24.493185307179587`, 3.864}, {-24.707185307179586`, 3.898}, {-25.001185307179586`, 3.906}, {-25.072185307179588`, 3.72}, {-24.961185307179587`, 3.654}, {-24.826185307179585`, 3.583}, {-24.672185307179586`, 3.504}, {-24.507185307179586`, 3.418}, {-24.335185307179586`, 3.324}, {-24.158185307179586`, 3.222}, {-23.980185307179585`, 3.115}, {-23.803185307179586`, 3.003}, {-23.629185307179586`, 2.888}, {-23.459185307179585`, 2.771}, {-23.294185307179585`, 2.656}, {-23.134185307179585`, 2.543}, {-22.981185307179587`, 2.434}, {-22.833185307179587`, 2.331}, {-22.693185307179586`, 2.233}, {-22.558185307179585`, 2.142}, {-22.430185307179585`, 2.059}, {-22.309185307179586`, 1.982}, {-22.193185307179586`, 1.913}, {-22.082185307179586`, 1.851}, {-21.97718530717959, 1.796}, {-21.877185307179587`, 1.748}, {-21.78218530717959, 1.706}}], LineBox[NCache[{{-21.415185307179584`, 1.583}, {-21.546185307179584`, 1.62}, {-21.677185307179585`, 1.665}, {-21.809185307179586`, 1.719}, {-21.943185307179586`, 1.781}, {-22.078185307179588`, 1.85}, {-22.214185307179584`, 1.927}, {-22.352185307179585`, 2.01}, {-22.491185307179585`, 2.099}, {-22.632185307179586`, 2.193}, {-22.774185307179586`, 2.29}, {-22.917185307179587`, 2.39}, {-23.060185307179587`, 2.492}, {-23.206185307179584`, 2.595}, {-23.350185307179586`, 2.696}, {-23.493185307179587`, 2.796}, {-23.635185307179587`, 2.893}, {-23.776185307179585`, 2.986}, {-23.914185307179586`, 3.075}, {-24.050185307179586`, 3.159}, {-24.182185307179587`, 3.238}, {-24.310185307179587`, 3.312}, {-24.433185307179585`, 3.38}, {-24.550185307179586`, 3.442}, {-24.661185307179586`, 3.5}, {-24.764185307179588`, 3.553}, {-24.858185307179586`, 3.602}, {-24.943185307179586`, 3.647}, {-25.146185307179586`, 3.786}, {-24.962185307179585`, 3.907}, {-24.817185307179585`, 3.906}, {-24.616185307179585`, 3.885}, {-24.346185307179585`, 3.83}, {-23.990185307179587`, 3.723}, {-23.789185307179586`, 3.65}, {-23.695185307179585`, 3.614}, {-23.597185307179586`, 3.574}, {-23.493185307179587`, 3.532}, {-23.385185307179587`, 3.486}, {-23.270185307179585`, 3.437}, {-23.150185307179587`, 3.385}, {-23.024185307179586`, 3.331}, {-22.892185307179588`, 3.276}, {-22.753185307179585`, 3.218}, {-22.606185307179587`, 3.161}, {-22.453185307179588`, 3.105}, {-22.291185307179585`, 3.051}, {-22.120185307179586`, 3.}, {-21.939185307179585`, 2.956}, {-21.747185307179585`, 2.919}, {-21.543185307179584`, 2.892}, {-21.323185307179585`, 2.876}, {-21.08718530717959, 2.875}, {-20.829185307179586`, 2.887}, {-20.545185307179587`, 2.913}, {-20.231185307179587`, 2.949}, {-19.879185307179586`, 2.985}, {-19.482185307179584`, 3.005}, {-19.159185307179584`, 2.997}, {-19.065185307179586`, 2.989}, {-18.969185307179586`, 2.978}, {-18.871185307179587`, 2.964}, {-18.771185307179586`, 2.947}, {-18.668185307179584`, 2.926}, {-18.563185307179587`, 2.901}, {-18.455185307179587`, 2.871}, {-18.345185307179584`, 2.837}, {-18.233185307179586`, 2.798}, {-18.119185307179585`, 2.755}, {-18.003185307179585`, 2.706}, {-17.884185307179585`, 2.653}, {-17.764185307179588`, 2.594}, {-17.642185307179588`, 2.53}, {-17.518185307179586`, 2.462}, {-17.393185307179586`, 2.389}, {-17.266185307179587`, 2.312}, {-17.138185307179587`, 2.232}, {-17.009185307179585`, 2.148}, {-16.879185307179586`, 2.063}, {-16.749185307179587`, 1.975}, {-16.618185307179587`, 1.887}, {-16.487185307179587`, 1.799}, {-16.356185307179587`, 1.712}, {-16.22418530717959, 1.627}, {-16.09318530717959, 1.546}, {-15.961185307179587`, 1.468}, {-15.829185307179586`, 1.395}, {-15.698185307179585`, 1.329}, {-15.566185307179586`, 1.269}, {-15.433185307179587`, 1.218}, {-15.299185307179586`, 1.176}, {-15.164185307179586`, 1.143}, {-15.027185307179586`, 1.121}, {-14.887185307179585`, 1.11}, {-14.743185307179587`, 1.112}, {-14.594185307179586`, 1.125}, {-14.438185307179586`, 1.152}, {-14.273185307179586`, 1.191}, {-14.096185307179585`, 1.242}, {-13.905185307179586`, 1.304}, {-13.695185307179585`, 1.373}, {-13.462185307179587`, 1.446}, {-13.199185307179587`, 1.514}, {-12.901185307179587`, 1.564}, {-12.558185307179587`, 1.579}, {-12.164185307179586`, 1.53}, {-11.960185307179586`, 1.476}, {-11.868185307179587`, 1.446}, {-11.774185307179586`, 1.41}, {-11.678185307179586`, 1.37}, {-11.579185307179586`, 1.324}, {-11.477185307179585`, 1.272}, {-11.374185307179587`, 1.214}, {-11.267185307179586`, 1.151}, {-11.158185307179586`, 1.081}, {-11.047185307179586`, 1.005}, {-10.934185307179586`, 0.922}, {-10.818185307179586`, 0.833}, {-10.700185307179586`, 0.738}, {-10.581185307179586`, 0.637}, {-10.459185307179586`, 0.53}, {-10.336185307179587`, 0.418}, {-10.212185307179587`, 0.301}, {-10.086185307179587`, 0.179}, {-9.959185307179586, 0.054}, {-9.832185307179586, -0.075}, {-9.704185307179586, -0.206}, \ {-9.575185307179586, -0.339}, {-9.447185307179586, -0.473}, \ {-9.319185307179586, -0.608}, {-9.191185307179586, -0.742}, \ {-9.064185307179587, -0.874}, {-8.938185307179586, -1.005}, \ {-8.813185307179586, -1.133}, {-8.690185307179586, -1.258}, \ {-8.568185307179586, -1.379}, {-8.447185307179586, -1.495}, \ {-8.329185307179586, -1.607}, {-8.212185307179587, -1.714}, \ {-8.098185307179586, -1.815}, {-7.9861853071795865`, -1.911}, \ {-7.8771853071795865`, -2.001}, {-7.770185307179586, -2.086}, \ {-7.665185307179586, -2.165}, {-7.5631853071795865`, -2.238}, \ {-7.463185307179586, -2.306}, {-7.367185307179586, -2.369}, \ {-7.272185307179586, -2.426}, {-7.181185307179586, -2.478}, \ {-7.092185307179586, -2.526}, {-7.005185307179586, -2.569}, \ {-6.8131853071795865`, -2.653}, {-6.444185307179586, -2.768}, \ {-6.130185307179587, -2.817}, {-5.8611853071795865`, -2.822}, \ {-5.632185307179586, -2.799}, {-5.436185307179587, -2.76}, \ {-5.267185307179586, -2.71}, {-5.122185307179587, -2.654}, \ {-4.997185307179587, -2.596}, {-4.890185307179586, -2.537}, \ {-4.796185307179586, -2.477}, {-4.716185307179586, -2.418}, \ {-4.646185307179586, -2.359}, {-4.466185307179586, -2.154}, \ {-4.350185307179586, -1.894}, {-4.326185307179586, -1.655}, \ {-4.359185307179587, -1.43}, {-4.371185307179586, -1.388}, \ {-4.387185307179586, -1.337}, {-4.410185307179586, -1.272}, \ {-4.444185307179586, -1.191}, {-4.492185307179586, -1.091}, \ {-4.560185307179586, -0.97}, {-4.654185307179587, -0.826}, \ {-4.783185307179586, -0.659}, {-4.953185307179586, -0.476}, \ {-5.168185307179586, -0.285}, {-5.4301853071795865`, -0.104}, \ {-5.733185307179586, 0.048}, {-6.065185307179586, 0.159}, {-6.410185307179586, 0.233}, {-6.747185307179587, 0.299}, {-7.041185307179586, 0.41}, {-7.202185307179587, 0.681}, {-7.193185307179586, 0.727}, {-7.169185307179586, 0.789}, {-7.115185307179586, 0.874}, {-7.000185307179586, 0.993}, {-6.755185307179586, 1.154}, {-6.556185307179586, 1.237}, {-6.447185307179586, 1.269}, {-6.317185307179586, 1.296}, {-6.161185307179586, 1.314}, {-5.973185307179587, 1.314}, {-5.746185307179586, 1.287}, {-5.468185307179587, 1.215}, {-5.1271853071795865`, 1.071}, {-4.943185307179586, 0.97}, {-4.859185307179587, 0.919}, {-4.772185307179586, 0.862}, {-4.681185307179586, 0.8}, {-4.586185307179586, 0.732}, {-4.488185307179586, 0.658}, {-4.386185307179586, 0.578}, {-4.280185307179586, 0.49}, {-4.170185307179587, 0.396}, {-4.056185307179586, 0.294}, {-3.938185307179586, 0.186}, {-3.816185307179586, 0.07}, {-3.6901853071795863`, -0.052}, {-3.5611853071795863`, \ -0.181}, {-3.4281853071795862`, -0.316}, {-3.2911853071795862`, -0.457}, \ {-3.151185307179586, -0.602}, {-3.0081853071795863`, -0.752}, \ {-2.8621853071795864`, -0.905}, {-2.7131853071795864`, -1.059}, \ {-2.563185307179586, -1.214}, {-2.410185307179586, -1.369}, \ {-2.256185307179586, -1.522}, {-2.102185307179586, -1.671}, \ {-1.947185307179586, -1.817}, {-1.7921853071795866`, -1.956}, \ {-1.6371853071795863`, -2.089}, {-1.4831853071795864`, -2.214}, \ {-1.3311853071795863`, -2.331}, {-1.1801853071795865`, -2.439}, \ {-1.0311853071795865`, -2.538}, {-0.8841853071795862, -2.627}, \ {-0.7411853071795864, -2.707}, {-0.6001853071795864, -2.776}, \ {-0.4621853071795865, -2.837}, {-0.32818530717958616`, -2.889}, \ {-0.19718530717958593`, -2.932}, {-0.07018530717958615, -2.968}, { 0.09581469282041333, -3.004}, {0.1418146928204136, -3.012}, { 0.19881469282041397`, -3.021}, {0.27081469282041404`, -3.031}, { 0.3608146928204139, -3.04}, {0.472814692820414, -3.047}, { 0.6088146928204141, -3.049}, {0.7728146928204138, -3.044}, { 0.9678146928204141, -3.026}, {1.193814692820414, -2.99}, { 1.4478146928204136`, -2.935}, {1.727814692820413, -2.858}, { 2.0218146928204135`, -2.763}, {2.321814692820414, -2.654}, { 2.6118146928204133`, -2.538}, {2.879814692820414, -2.416}, { 3.113814692820414, -2.289}, {3.307814692820413, -2.157}, { 3.541814692820413, -1.998}, {3.5758146928204138`, -1.986}, { 3.6198146928204142`, -1.976}, {3.679814692820413, -1.975}, { 3.7658146928204133`, -1.991}, {3.8948146928204146`, -2.044}, { 4.097814692820414, -2.165}, {4.420814692820414, -2.395}, { 4.456814692820414, -2.421}, {4.503814692820415, -2.456}, { 4.566814692820413, -2.502}, {4.649814692820414, -2.563}, { 4.761814692820414, -2.642}, {4.911814692820414, -2.747}, { 5.1148146928204135`, -2.882}, {5.389814692820414, -3.047}, { 5.759814692820413, -3.234}, {5.843814692820414, -3.27}, { 5.932814692820413, -3.306}, {6.025814692820413, -3.34}, { 6.124814692820413, -3.373}, {6.2268146928204136`, -3.405}, { 6.333814692820415, -3.433}, {6.445814692820413, -3.46}, { 6.606814692820414, -3.49}, {6.651814692820414, -3.497}, { 6.709814692820414, -3.506}, {6.783814692820414, -3.515}, { 6.877814692820413, -3.524}, {6.995814692820414, -3.532}, { 7.144814692820415, -3.538}, {7.329814692820413, -3.538}, { 7.556814692820414, -3.53}, {7.831814692820414, -3.511}, { 8.155814692820414, -3.482}, {8.530814692820414, -3.453}, { 8.693814692820414, -3.445}, {8.737814692820415, -3.443}, { 8.794814692820413, -3.441}, {8.864814692820413, -3.44}, { 8.952814692820414, -3.44}, {9.062814692820414, -3.442}, { 9.196814692820414, -3.448}, {9.359814692820414, -3.461}, { 9.555814692820414, -3.484}, {9.788814692820413, -3.524}, { 10.023814692820412`, -3.577}, {10.064814692820413`, -3.588}, { 10.116814692820412`, -3.601}, {10.181814692820414`, -3.619}, { 10.262814692820413`, -3.642}, {10.362814692820415`, -3.672}, { 10.485814692820412`, -3.71}, {10.635814692820414`, -3.76}, { 10.814814692820413`, -3.82}, {10.981814692820414`, -3.878}, { 11.026814692820412`, -3.893}, {11.082814692820413`, -3.913}, { 11.153814692820415`, -3.937}, {11.240814692820415`, -3.966}, { 11.347814692820414`, -4.001}, {11.476814692820415`, -4.043}, { 11.674814692820412`, -4.101}, {11.714814692820415`, -4.113}, { 11.764814692820412`, -4.126}, {11.826814692820413`, -4.142}, { 11.902814692820414`, -4.161}, {11.993814692820415`, -4.182}, { 12.202814692820414`, -4.223}, {12.239814692820413`, -4.229}, { 12.283814692820414`, -4.236}, {12.337814692820412`, -4.243}, { 12.400814692820415`, -4.251}, {12.591814692820414`, -4.264}, { 12.624814692820415`, -4.265}, {12.662814692820415`, -4.265}, { 12.790814692820415`, -4.243}, {12.607814692820412`, -4.144}, { 12.442814692820413`, -4.088}, {12.388814692820414`, -4.069}, { 12.208814692820415`, -4.005}, {12.169814692820413`, -3.99}, { 12.117814692820414`, -3.97}, {12.048814692820415`, -3.943}, { 11.860814692820412`, -3.866}, {11.822814692820415`, -3.85}, { 11.774814692820414`, -3.828}, {11.710814692820414`, -3.8}, { 11.628814692820413`, -3.763}, {11.436814692820413`, -3.674}, { 11.400814692820415`, -3.657}, {11.354814692820415`, -3.635}, { 11.295814692820414`, -3.607}, {11.219814692820414`, -3.57}, { 11.121814692820415`, -3.523}, {10.937814692820414`, -3.436}, { 10.895814692820412`, -3.416}, {10.842814692820415`, -3.392}, { 10.773814692820412`, -3.361}, {10.685814692820415`, -3.322}, { 10.571814692820414`, -3.274}, {10.413814692820413`, -3.212}, { 10.368814692820415`, -3.196}, {10.309814692820414`, -3.175}, { 10.234814692820414`, -3.15}, {10.135814692820414`, -3.12}, { 10.007814692820414`, -3.086}, {9.839814692820415, -3.049}, { 9.789814692820414, -3.04}, {9.725814692820414, -3.029}, { 9.642814692820414, -3.018}, {9.531814692820413, -3.006}, { 9.382814692820414, -2.997}, {9.164814692820414, -2.995}, { 9.118814692820413, -2.996}, {9.057814692820413, -2.998}, { 8.977814692820413, -3.003}, {8.871814692820413, -3.011}, { 8.728814692820414, -3.026}, {8.531814692820413, -3.052}, { 8.220814692820413, -3.1}, {8.180814692820414, -3.107}, { 8.127814692820413, -3.115}, {8.057814692820413, -3.127}, { 7.964814692820413, -3.141}, {7.842814692820413, -3.16}, { 7.676814692820415, -3.183}, {7.450814692820414, -3.208}, { 7.136814692820414, -3.225}, {6.828814692820414, -3.217}, { 6.644814692820415, -3.199}, {6.600814692820414, -3.193}, { 6.543814692820414, -3.184}, {6.469814692820414, -3.17}, { 6.372814692820414, -3.15}, {6.245814692820414, -3.118}, { 6.078814692820414, -3.067}, {5.858814692820413, -2.983}, { 5.5698146928204135`, -2.845}, {5.300814692820413, -2.688}, { 5.220814692820413, -2.636}, {5.136814692820414, -2.579}, { 5.047814692820413, -2.517}, {4.954814692820413, -2.448}, { 4.855814692820413, -2.373}, {4.753814692820415, -2.291}, { 4.6468146928204135`, -2.202}, {4.534814692820413, -2.106}, { 4.417814692820414, -2.003}, {4.291814692820413, -1.888}, { 4.256814692820413, -1.855}, {4.211814692820413, -1.812}, { 4.153814692820413, -1.757}, {4.079814692820413, -1.686}, { 3.9878146928204146`, -1.597}, {3.868814692820413, -1.479}, { 3.719814692820414, -1.328}, {3.5348146928204134`, -1.139}, { 3.3088146928204143`, -0.907}, {3.036814692820414, -0.629}, { 2.8098146928204137`, -0.401}, {2.746814692820413, -0.338}, { 2.680814692820414, -0.275}, {2.6148146928204135`, -0.211}, { 2.546814692820414, -0.147}, {2.477814692820413, -0.083}, { 2.4078146928204145`, -0.019}, {2.251814692820414, 0.119}, { 2.2218146928204145`, 0.145}, {2.1838146928204143`, 0.177}, { 2.1368146928204137`, 0.216}, {2.078814692820414, 0.263}, { 2.006814692820413, 0.319}, {1.9208146928204144`, 0.385}, { 1.8178146928204146`, 0.459}, {1.6978146928204136`, 0.539}, { 1.5628146928204139`, 0.62}, {1.416814692820414, 0.695}, { 1.2168146928204138`, 0.772}, {1.182814692820414, 0.781}, { 1.1418146928204136`, 0.79}, {1.0968146928204137`, 0.798}, { 1.0478146928204142`, 0.801}, {0.9998146928204141, 0.798}, { 1.0808146928204136`, 0.505}, {1.2078146928204134`, 0.395}, { 1.3448146928204139`, 0.286}, {1.5878146928204142`, 0.106}, { 1.7218146928204145`, 0}, {1.8548146928204137`, -0.117}, { 1.9808146928204131`, -0.242}, {2.0108146928204143`, -0.274}, { 2.1278146928204134`, -0.409}, {2.153814692820413, -0.442}, { 2.187814692820414, -0.486}, {2.2958146928204144`, -0.636}, { 2.3228146928204136`, -0.676}, {2.355814692820413, -0.729}, { 2.446814692820414, -0.883}, {2.4688146928204144`, -0.922}, { 2.4948146928204142`, -0.974}, {2.5268146928204143`, -1.042}, { 2.5908146928204143`, -1.194}, {2.6068146928204143`, -1.238}, { 2.6248146928204132`, -1.296}, {2.645814692820414, -1.372}, { 2.674814692820414, -1.538}, {2.6788146928204135`, -1.586}, { 2.679814692820413, -1.647}, {2.674814692820414, -1.727}, { 2.6388146928204144`, -1.887}, {2.621814692820413, -1.933}, { 2.592814692820413, -1.992}, {2.546814692820414, -2.069}, { 2.416814692820413, -2.223}, {2.3788146928204146`, -2.259}, { 2.323814692820413, -2.306}, {2.243814692820413, -2.368}, { 2.1228146928204144`, -2.451}, {1.8808146928204135`, -2.587}, { 1.8418146928204138`, -2.606}, {1.7908146928204136`, -2.63}, { 1.7198146928204139`, -2.662}, {1.621814692820414, -2.704}, { 1.4828146928204138`, -2.758}, {1.275814692820414, -2.825}, { 0.956814692820414, -2.901}, {0.7478146928204135, -2.931}, { 0.6438146928204134, -2.939}, {0.5278146928204137, -2.944}, { 0.3998146928204136, -2.943}, {0.19781469282041364`, -2.929}, { 0.15081469282041393`, -2.923}, {0.09081469282041343, -2.914}, { 0.009814692820413917, -2.9}, {-0.09718530717958629, -2.876}, \ {-0.24218530717958586`, -2.837}, {-0.44018530717958626`, -2.769}, \ {-0.7141853071795863, -2.648}, {-0.9841853071795859, -2.499}, \ {-1.0681853071795864`, -2.447}, {-1.157185307179586, -2.388}, \ {-1.253185307179586, -2.322}, {-1.3561853071795866`, -2.247}, \ {-1.4671853071795864`, -2.163}, {-1.5861853071795862`, -2.069}, \ {-1.713185307179586, -1.962}, {-1.849185307179586, -1.844}, \ {-1.995185307179586, -1.711}, {-2.1511853071795866`, -1.564}, \ {-2.317185307179586, -1.401}, {-2.4951853071795864`, -1.223}, \ {-2.683185307179586, -1.03}, {-2.8821853071795864`, -0.822}, \ {-3.0921853071795864`, -0.602}, {-3.313185307179586, -0.372}, \ {-3.542185307179586, -0.136}, {-3.7791853071795862`, 0.102}, {-4.024185307179586, 0.336}, {-4.274185307179586, 0.56}, {-4.527185307179586, 0.767}, {-4.7811853071795865`, 0.954}, {-5.000185307179587, 1.095}, {-5.037185307179586, 1.117}, {-5.085185307179586, 1.144}, {-5.145185307179586, 1.177}, {-5.222185307179586, 1.217}, {-5.318185307179586, 1.263}, {-5.436185307179587, 1.314}, {-5.584185307179586, 1.368}, {-5.764185307179586, 1.42}, {-5.980185307179586, 1.461}, {-6.234185307179586, 1.48}, {-6.525185307179586, 1.463}, {-6.850185307179586, 1.398}, {-7.202185307179587, 1.284}, {-7.575185307179586, 1.129}, {-7.968185307179587, 0.965}, {-8.254185307179586, 0.872}, {-8.283185307179586, 0.865}, {-8.300185307179586, 0.862}, {-8.576185307179585, 0.821}, {-8.891185307179587, 0.839}, {-9.135185307179587, 0.899}, {-9.326185307179585, 0.97}, {-9.476185307179586, 1.039}, {-9.595185307179586, 1.099}, {-9.687185307179586, 1.15}, {-9.760185307179587, 1.192}, {-9.817185307179585, 1.226}, {-9.861185307179586, 1.252}, {-9.896185307179586, 1.273}, {-10.245185307179586`, 1.496}, {-10.524185307179586`, 1.677}, {-10.740185307179587`, 1.813}, {-10.905185307179586`, 1.912}, {-11.032185307179585`, 1.984}, {-11.129185307179586`, 2.037}, {-11.204185307179586`, 2.076}, {-11.261185307179586`, 2.104}, {-11.305185307179586`, 2.125}, {-11.457185307179586`, 2.193}, {-11.740185307179587`, 2.297}, {-11.938185307179587`, 2.349}, {-12.078185307179586`, 2.374}, {-12.177185307179586`, 2.385}, {-12.249185307179587`, 2.389}, {-12.301185307179587`, 2.389}, {-12.512185307179585`, 2.369}, {-12.625185307179585`, 2.341}, {-12.703185307179586`, 2.315}, {-12.764185307179586`, 2.293}, {-12.815185307179586`, 2.276}, {-12.859185307179587`, 2.262}, {-12.897185307179587`, 2.252}, {-12.929185307179587`, 2.244}, {-13.261185307179586`, 2.182}, {-13.593185307179585`, 2.127}, {-13.942185307179585`, 2.072}, {-14.271185307179586`, 2.034}, {-14.560185307179585`, 2.024}, {-14.804185307179587`, 2.041}, {-15.004185307179586`, 2.074}, {-15.165185307179586`, 2.116}, {-15.292185307179587`, 2.157}, {-15.392185307179586`, 2.196}, {-15.469185307179586`, 2.229}, {-15.530185307179586`, 2.258}, {-15.576185307179585`, 2.281}, {-15.612185307179587`, 2.3}, {-15.849185307179587`, 2.44}, {-15.995185307179586`, 2.545}, {-16.107185307179584`, 2.642}, {-16.174185307179584`, 2.796}, {-16.088185307179586`, 2.815}, {-15.913185307179587`, 2.803}, {-15.629185307179586`, 2.771}, {-15.335185307179586`, 2.748}, {-15.240185307179587`, 2.745}, {-15.137185307179585`, 2.744}, {-15.027185307179586`, 2.745}, {-14.908185307179586`, 2.75}, {-14.780185307179586`, 2.759}, {-14.641185307179587`, 2.771}, {-14.491185307179586`, 2.789}, {-14.327185307179587`, 2.811}, {-14.148185307179586`, 2.837}, {-13.953185307179586`, 2.866}, {-13.739185307179586`, 2.896}, {-13.503185307179585`, 2.923}, {-13.242185307179586`, 2.941}, {-12.954185307179586`, 2.944}, {-12.635185307179587`, 2.919}, {-12.283185307179586`, 2.853}, {-11.898185307179586`, 2.735}, {-11.708185307179587`, 2.658}, {-11.624185307179587`, 2.621}, {-11.539185307179586`, 2.581}, {-11.453185307179586`, 2.538}, {-11.366185307179586`, 2.493}, {-11.277185307179586`, 2.445}, {-11.188185307179587`, 2.395}, {-11.098185307179588`, 2.342}, {-11.007185307179586`, 2.288}, {-10.915185307179586`, 2.231}, {-10.822185307179586`, 2.172}, {-10.728185307179587`, 2.111}, {-10.634185307179585`, 2.05}, {-10.539185307179586`, 1.986}, {-10.444185307179586`, 1.923}, {-10.348185307179588`, 1.858}, {-10.252185307179586`, 1.794}, {-10.156185307179587`, 1.73}, {-10.059185307179586`, 1.666}, {-9.962185307179587, 1.604}, {-9.865185307179587, 1.543}, {-9.768185307179586, 1.483}, {-9.671185307179586, 1.427}, {-9.573185307179585, 1.372}, {-9.476185307179586, 1.322}, {-9.377185307179586, 1.274}, {-9.279185307179587, 1.231}, {-9.180185307179586, 1.192}, {-9.081185307179586, 1.158}, {-8.980185307179585, 1.13}, {-8.879185307179586, 1.107}, {-8.776185307179587, 1.09}, {-8.672185307179586, 1.079}, {-8.565185307179586, 1.075}, {-8.456185307179586, 1.079}, {-8.344185307179586, 1.089}, {-8.227185307179585, 1.107}, {-8.106185307179587, 1.133}, {-7.979185307179586, 1.166}, {-7.849185307179586, 1.204}, {-7.706185307179586, 1.251}, {-7.553185307179586, 1.303}, {-7.388185307179587, 1.359}, {-7.208185307179586, 1.417}, {-7.0101853071795865`, 1.474}, {-6.792185307179587, 1.523}, {-6.549185307179586, 1.557}, {(-2) Pi, 1.566}, {-5.979185307179586, 1.537}, {-5.639185307179586, 1.454}, {-5.2601853071795865`, 1.297}, {-5.1801853071795865`, 1.255}, {-5.098185307179586, 1.21}, {-5.014185307179586, 1.16}, {-4.929185307179586, 1.107}, {-4.842185307179586, 1.05}, {-4.754185307179586, 0.989}, {-4.6641853071795865`, 0.924}, {-4.572185307179586, 0.855}, {-4.480185307179586, 0.781}, {-4.386185307179586, 0.704}, {-4.291185307179586, 0.624}, {-4.195185307179586, 0.539}, {-4.097185307179586, 0.451}, {-3.9991853071795864`, 0.36}, {-3.9001853071795862`, 0.266}, {-3.800185307179586, 0.169}, {-3.699185307179586, 0.069}, {-3.5971853071795863`, -0.033}, {-3.4961853071795863`, \ -0.136}, {-3.3941853071795864`, -0.241}, {-3.2911853071795862`, -0.348}, \ {-3.1891853071795864`, -0.455}, {-3.087185307179586, -0.562}, \ {-2.9841853071795863`, -0.669}, {-2.8831853071795863`, -0.776}, \ {-2.7811853071795865`, -0.882}, {-2.680185307179586, -0.986}, \ {-2.5801853071795864`, -1.09}, {-2.4801853071795863`, -1.191}, \ {-2.3821853071795864`, -1.29}, {-2.284185307179586, -1.386}, \ {-2.1881853071795865`, -1.48}, {-2.0921853071795864`, -1.571}, \ {-1.998185307179586, -1.659}, {-1.9051853071795861`, -1.744}, \ {-1.8131853071795865`, -1.825}, {-1.7231853071795866`, -1.903}, \ {-1.6341853071795862`, -1.977}, {-1.5471853071795865`, -2.047}, \ {-1.4621853071795865`, -2.114}, {-1.378185307179586, -2.177}, \ {-1.2951853071795858`, -2.237}, {-1.2141853071795863`, -2.293}, \ {-1.1351853071795865`, -2.345}, {-0.8591853071795859, -2.51}, \ {-0.5171853071795862, -2.669}, {-0.21518530717958662`, -2.768}, { 0.052814692820414066`, -2.821}, {0.28881469282041383`, -2.841}, { 0.496814692820414, -2.837}, {0.6808146928204142, -2.817}, { 0.8438146928204135, -2.786}, {0.9878146928204137, -2.747}, { 1.1158146928204138`, -2.705}, {1.2298146928204137`, -2.66}, { 1.331814692820414, -2.612}, {1.4228146928204142`, -2.565}, { 1.677814692820414, -2.393}, {1.8918146928204145`, -2.171}, { 2.0038146928204146`, -1.966}, {2.0518146928204146`, -1.774}, { 2.0568146928204136`, -1.592}, {2.030814692820414, -1.42}, { 1.9838146928204132`, -1.258}, {1.9218146928204138`, -1.104}, { 1.8498146928204129`, -0.96}, {1.770814692820414, -0.826}, { 1.6878146928204139`, -0.7}, {1.6018146928204136`, -0.584}, { 1.5148146928204138`, -0.477}, {1.4288146928204135`, -0.379}, { 1.342814692820414, -0.288}, {1.2588146928204136`, -0.206}, { 1.1768146928204137`, -0.13}, {1.0968146928204137`, -0.062}, { 1.0198146928204137`, 0.001}, {0.8498146928204138, 0.126}, { 0.5358146928204137, 0.321}, {0.2908146928204136, 0.455}, { 0.10681469282041345`, 0.559}, {-0.021185307179586665`, 0.653}, {-0.09618530717958595, 0.746}, {-0.12018530717958598`, 0.84}, {-0.08818530717958595, 0.935}, {0.004814692820414024, 1.027}, { 0.1678146928204134, 1.103}, {0.41681469282041395`, 1.143}, { 0.7718146928204135, 1.106}, {0.8568146928204134, 1.084}, { 0.9478146928204136, 1.056}, {1.0438146928204137`, 1.02}, { 1.145814692820414, 0.977}, {1.2538146928204137`, 0.925}, { 1.3678146928204136`, 0.864}, {1.488814692820414, 0.793}, { 1.6158146928204138`, 0.71}, {1.7488146928204138`, 0.616}, { 1.8888146928204144`, 0.51}, {2.0358146928204146`, 0.392}, { 2.1888146928204133`, 0.261}, {2.347814692820414, 0.118}, { 2.512814692820413, -0.037}, {2.682814692820413, -0.203}, { 2.8588146928204132`, -0.378}, {3.0378146928204135`, -0.562}, { 3.2218146928204145`, -0.752}, {3.4078146928204145`, -0.946}, { 3.5968146928204145`, -1.141}, {3.7858146928204146`, -1.336}, { 3.9768146928204136`, -1.526}, {4.165814692820414, -1.711}, { 4.353814692820414, -1.887}, {4.539814692820414, -2.054}, { 4.722814692820414, -2.208}, {4.902814692820414, -2.351}, { 5.077814692820414, -2.48}, {5.248814692820414, -2.595}, { 5.414814692820414, -2.697}, {5.574814692820414, -2.786}, { 5.729814692820414, -2.862}, {5.878814692820415, -2.927}, { 6.022814692820413, -2.981}, {6.159814692820413, -3.025}, { 6.292814692820414, -3.061}, {6.419814692820413, -3.088}, { 6.541814692820413, -3.109}, {6.6578146928204145`, -3.124}, { 6.769814692820415, -3.134}, {6.8758146928204145`, -3.139}, { 6.978814692820414, -3.141}, {7.076814692820413, -3.14}, { 7.169814692820413, -3.136}, {7.584814692820414, -3.091}, { 7.922814692820413, -3.03}, {8.201814692820413, -2.97}, { 8.434814692820414, -2.918}, {8.631814692820413, -2.875}, { 8.801814692820415, -2.841}, {8.948814692820413, -2.815}, { 9.078814692820414, -2.794}, {9.192814692820415, -2.779}, { 9.294814692820413, -2.767}, {9.599814692820413, -2.751}, { 9.887814692820413, -2.765}, {10.089814692820415`, -2.795}, { 10.240814692820415`, -2.831}, {10.355814692820413`, -2.865}, { 10.445814692820413`, -2.896}, {10.515814692820413`, -2.922}, { 10.570814692820413`, -2.944}, {10.613814692820412`, -2.962}, { 10.767814692820412`, -3.031}, {10.908814692820414`, -3.099}, { 11.051814692820415`, -3.171}, {11.200814692820416`, -3.248}, { 11.352814692820413`, -3.326}, {11.510814692820414`, -3.406}, { 11.671814692820412`, -3.484}, {11.837814692820412`, -3.56}, { 12.006814692820413`, -3.631}, {12.178814692820414`, -3.697}, { 12.352814692820413`, -3.756}, {12.527814692820414`, -3.808}, { 12.702814692820414`, -3.851}, {12.877814692820415`, -3.887}, { 13.050814692820413`, -3.914}, {13.221814692820413`, -3.935}, { 13.388814692820414`, -3.95}, {13.553814692820414`, -3.959}, { 13.714814692820415`, -3.964}, {13.870814692820414`, -3.967}, { 14.022814692820415`, -3.968}, {14.169814692820413`, -3.968}, { 14.312814692820414`, -3.968}, {14.450814692820416`, -3.968}, { 14.584814692820412`, -3.97}, {14.712814692820412`, -3.974}, { 14.837814692820412`, -3.98}, {14.956814692820412`, -3.987}, { 15.072814692820415`, -3.997}, {15.183814692820413`, -4.01}, { 15.290814692820415`, -4.024}, {15.393814692820413`, -4.041}, { 15.492814692820414`, -4.059}, {15.587814692820412`, -4.079}, { 15.678814692820414`, -4.101}, {16.078814692820412`, -4.223}, { 16.380814692820415`, -4.347}, {16.580814692820415`, -4.45}, { 16.576814692820413`, -4.542}, {16.332814692820413`, -4.504}, { 16.044814692820413`, -4.455}, {15.947814692820415`, -4.44}, { 15.843814692820413`, -4.425}, {15.730814692820413`, -4.412}, { 15.609814692820414`, -4.399}, {15.478814692820414`, -4.389}, { 15.337814692820412`, -4.381}, {15.186814692820413`, -4.377}, { 15.023814692820412`, -4.377}, {14.850814692820414`, -4.381}, { 14.664814692820414`, -4.389}, {14.465814692820413`, -4.401}, { 14.252814692820415`, -4.417}, {14.024814692820414`, -4.434}, { 13.781814692820415`, -4.45}, {13.522814692820415`, -4.461}, { 13.246814692820415`, -4.464}, {12.953814692820412`, -4.453}, { 12.643814692820413`, -4.422}, {12.315814692820414`, -4.368}, { 11.968814692820413`, -4.287}, {11.600814692820414`, -4.177}, { 11.210814692820414`, -4.042}, {10.906814692820415`, -3.931}, { 10.821814692820414`, -3.9}, {10.734814692820414`, -3.868}, { 10.645814692820412`, -3.836}, {10.556814692820414`, -3.805}, { 10.464814692820415`, -3.773}, {10.370814692820414`, -3.742}, { 10.275814692820415`, -3.711}, {10.178814692820414`, -3.682}, { 10.078814692820412`, -3.653}, {9.977814692820413, -3.626}, { 9.873814692820414, -3.6}, {9.767814692820412, -3.576}, { 9.658814692820414, -3.555}, {9.546814692820414, -3.535}, { 9.430814692820414, -3.519}, {9.311814692820414, -3.505}, { 9.189814692820415, -3.494}, {9.062814692820414, -3.487}, { 8.931814692820414, -3.483}, {8.796814692820414, -3.483}, { 8.655814692820414, -3.486}, {8.510814692820414, -3.492}, { 8.358814692820413, -3.502}, {8.201814692820413, -3.513}, { 8.038814692820413, -3.526}, {7.869814692820414, -3.54}, { 7.693814692820414, -3.552}, {7.512814692820413, -3.562}, { 7.324814692820414, -3.567}, {7.1308146928204135`, -3.565}, { 6.931814692820414, -3.555}, {6.728814692820414, -3.534}, { 6.522814692820413, -3.501}, {6.313814692820413, -3.454}, { 6.105814692820413, -3.393}, {5.897814692820413, -3.317}, { 5.693814692820414, -3.229}, {5.493814692820413, -3.13}, { 5.300814692820413, -3.023}, {5.1148146928204135`, -2.91}, { 4.938814692820413, -2.796}, {4.772814692820413, -2.682}, { 4.617814692820414, -2.573}, {4.474814692820413, -2.471}, { 4.342814692820413, -2.378}, {4.222814692820414, -2.295}, { 4.113814692820414, -2.225}, {4.015814692820413, -2.166}, { 3.8228146928204136`, -2.079}, {3.507814692820414, -2.103}, { 3.349814692820413, -2.193}, {3.2668146928204145`, -2.244}, { 3.166814692820413, -2.301}, {3.0428146928204143`, -2.366}, { 2.8888146928204144`, -2.44}, {2.6918146928204134`, -2.525}, { 2.4348146928204137`, -2.626}, {2.100814692820414, -2.748}, { 1.9038146928204132`, -2.813}, {1.8098146928204137`, -2.843}, { 1.709814692820414, -2.873}, {1.6018146928204136`, -2.903}, { 1.4878146928204137`, -2.933}, {1.363814692820414, -2.962}, { 1.2318146928204134`, -2.99}, {1.089814692820414, -3.015}, { 0.9378146928204139, -3.035}, {0.7728146928204138, -3.049}, { 0.5958146928204133, -3.055}, {0.4058146928204138, -3.048}, { 0.20081469282041375`, -3.026}, {-0.02018530717958633, -2.984}, \ {-0.2561853071795861, -2.917}, {-0.5091853071795862, -2.821}, \ {-0.777185307179586, -2.69}, {-1.0611853071795858`, -2.522}, \ {-1.3581853071795864`, -2.314}, {-1.6671853071795866`, -2.067}, \ {-1.9851853071795862`, -1.784}, {-2.2221853071795863`, -1.558}, \ {-2.2871853071795862`, -1.495}, {-2.352185307179586, -1.43}, \ {-2.417185307179586, -1.365}, {-2.482185307179586, -1.299}, \ {-2.547185307179586, -1.233}, {-2.6121853071795864`, -1.167}, \ {-2.6771853071795864`, -1.1}, {-2.7411853071795864`, -1.033}, \ {-2.8061853071795864`, -0.966}, {-2.8701853071795864`, -0.899}, \ {-2.934185307179586, -0.832}, {-2.998185307179586, -0.765}, \ {-3.0611853071795863`, -0.699}, {-3.1241853071795864`, -0.633}, \ {-3.187185307179586, -0.567}, {-3.4951853071795864`, -0.251}, \ {-3.7901853071795863`, 0.042}, {-4.0711853071795865`, 0.305}, {-4.335185307179586, 0.532}, {-4.582185307179586, 0.725}, {-4.811185307179587, 0.884}, {-5.0231853071795864`, 1.011}, {-5.219185307179586, 1.11}, {-5.3981853071795864`, 1.185}, {-5.5631853071795865`, 1.239}, {-5.714185307179586, 1.275}, {-5.852185307179586, 1.297}, {-5.979185307179586, 1.307}, {-6.094185307179586, 1.308}, {-6.200185307179586, 1.302}, {-6.298185307179586, 1.289}, {-6.673185307179586, 1.177}, {-6.913185307179586, 1.037}, {-7.059185307179586, 0.9}, {-7.136185307179586, 0.777}, {-7.159185307179587, 0.667}, {-7.138185307179587, 0.571}, {-7.0791853071795865`, 0.488}, {-6.984185307179586, 0.418}, {-6.857185307179586, 0.36}, {-6.6961853071795865`, 0.312}, {-6.499185307179586, 0.269}, {-6.262185307179586, 0.221}, {-5.977185307179586, 0.148}, {-5.637185307179586, 0.018}, {-5.458185307179586, -0.077}, {-5.3771853071795865`, -0.126}, \ {-5.294185307179586, -0.182}, {-5.209185307179586, -0.244}, \ {-5.122185307179587, -0.313}, {-5.033185307179586, -0.389}, \ {-4.944185307179586, -0.474}, {-4.855185307179586, -0.568}, \ {-4.766185307179587, -0.67}, {-4.678185307179586, -0.782}, \ {-4.594185307179586, -0.904}, {-4.516185307179587, -1.034}, \ {-4.445185307179586, -1.175}, {-4.3851853071795865`, -1.324}, \ {-4.342185307179586, -1.484}, {-4.3211853071795865`, -1.652}, \ {-4.332185307179586, -1.83}, {-4.388185307179587, -2.02}, \ {-4.511185307179586, -2.221}, {-4.737185307179586, -2.437}, \ {-4.894185307179586, -2.542}, {-4.975185307179586, -2.587}, \ {-5.066185307179586, -2.631}, {-5.167185307179587, -2.674}, \ {-5.280185307179586, -2.716}, {-5.4061853071795865`, -2.753}, \ {-5.549185307179586, -2.786}, {-5.708185307179586, -2.811}, \ {-5.888185307179587, -2.824}, {-6.091185307179586, -2.82}, \ {-6.319185307179586, -2.793}, {-6.576185307179586, -2.734}, \ {-6.866185307179586, -2.632}, {-7.191185307179587, -2.473}, \ {-7.452185307179587, -2.314}, {-7.527185307179586, -2.264}, \ {-7.6031853071795865`, -2.21}, {-7.681185307179586, -2.154}, \ {-7.7601853071795865`, -2.094}, {-7.840185307179587, -2.031}, \ {-7.9221853071795865`, -1.965}, {-8.006185307179587, -1.895}, \ {-8.090185307179587, -1.822}, {-8.176185307179587, -1.746}, \ {-8.264185307179586, -1.667}, {-8.352185307179585, -1.586}, \ {-8.442185307179585, -1.501}, {-8.532185307179587, -1.413}, \ {-8.626185307179586, -1.322}, {-8.718185307179587, -1.229}, \ {-8.812185307179586, -1.135}, {-8.906185307179587, -1.038}, \ {-9.001185307179586, -0.94}, {-9.097185307179586, -0.841}, \ {-9.193185307179586, -0.74}, {-9.289185307179586, -0.639}, \ {-9.386185307179586, -0.538}, {-9.483185307179586, -0.436}, \ {-9.580185307179587, -0.335}, {-9.677185307179586, -0.234}, \ {-9.774185307179586, -0.134}, {-9.871185307179587, -0.036}, \ {-9.967185307179587, 0.061}, {-10.063185307179586`, 0.156}, {-10.158185307179586`, 0.249}, {-10.252185307179586`, 0.339}, {-10.346185307179585`, 0.427}}, {{-21.415185307179584`, 1.583}, {-21.546185307179584`, 1.62}, {-21.677185307179585`, 1.665}, {-21.809185307179586`, 1.719}, {-21.943185307179586`, 1.781}, {-22.078185307179588`, 1.85}, {-22.214185307179584`, 1.927}, {-22.352185307179585`, 2.01}, {-22.491185307179585`, 2.099}, {-22.632185307179586`, 2.193}, {-22.774185307179586`, 2.29}, {-22.917185307179587`, 2.39}, {-23.060185307179587`, 2.492}, {-23.206185307179584`, 2.595}, {-23.350185307179586`, 2.696}, {-23.493185307179587`, 2.796}, {-23.635185307179587`, 2.893}, {-23.776185307179585`, 2.986}, {-23.914185307179586`, 3.075}, {-24.050185307179586`, 3.159}, {-24.182185307179587`, 3.238}, {-24.310185307179587`, 3.312}, {-24.433185307179585`, 3.38}, {-24.550185307179586`, 3.442}, {-24.661185307179586`, 3.5}, {-24.764185307179588`, 3.553}, {-24.858185307179586`, 3.602}, {-24.943185307179586`, 3.647}, {-25.146185307179586`, 3.786}, {-24.962185307179585`, 3.907}, {-24.817185307179585`, 3.906}, {-24.616185307179585`, 3.885}, {-24.346185307179585`, 3.83}, {-23.990185307179587`, 3.723}, {-23.789185307179586`, 3.65}, {-23.695185307179585`, 3.614}, {-23.597185307179586`, 3.574}, {-23.493185307179587`, 3.532}, {-23.385185307179587`, 3.486}, {-23.270185307179585`, 3.437}, {-23.150185307179587`, 3.385}, {-23.024185307179586`, 3.331}, {-22.892185307179588`, 3.276}, {-22.753185307179585`, 3.218}, {-22.606185307179587`, 3.161}, {-22.453185307179588`, 3.105}, {-22.291185307179585`, 3.051}, {-22.120185307179586`, 3.}, {-21.939185307179585`, 2.956}, {-21.747185307179585`, 2.919}, {-21.543185307179584`, 2.892}, {-21.323185307179585`, 2.876}, {-21.08718530717959, 2.875}, {-20.829185307179586`, 2.887}, {-20.545185307179587`, 2.913}, {-20.231185307179587`, 2.949}, {-19.879185307179586`, 2.985}, {-19.482185307179584`, 3.005}, {-19.159185307179584`, 2.997}, {-19.065185307179586`, 2.989}, {-18.969185307179586`, 2.978}, {-18.871185307179587`, 2.964}, {-18.771185307179586`, 2.947}, {-18.668185307179584`, 2.926}, {-18.563185307179587`, 2.901}, {-18.455185307179587`, 2.871}, {-18.345185307179584`, 2.837}, {-18.233185307179586`, 2.798}, {-18.119185307179585`, 2.755}, {-18.003185307179585`, 2.706}, {-17.884185307179585`, 2.653}, {-17.764185307179588`, 2.594}, {-17.642185307179588`, 2.53}, {-17.518185307179586`, 2.462}, {-17.393185307179586`, 2.389}, {-17.266185307179587`, 2.312}, {-17.138185307179587`, 2.232}, {-17.009185307179585`, 2.148}, {-16.879185307179586`, 2.063}, {-16.749185307179587`, 1.975}, {-16.618185307179587`, 1.887}, {-16.487185307179587`, 1.799}, {-16.356185307179587`, 1.712}, {-16.22418530717959, 1.627}, {-16.09318530717959, 1.546}, {-15.961185307179587`, 1.468}, {-15.829185307179586`, 1.395}, {-15.698185307179585`, 1.329}, {-15.566185307179586`, 1.269}, {-15.433185307179587`, 1.218}, {-15.299185307179586`, 1.176}, {-15.164185307179586`, 1.143}, {-15.027185307179586`, 1.121}, {-14.887185307179585`, 1.11}, {-14.743185307179587`, 1.112}, {-14.594185307179586`, 1.125}, {-14.438185307179586`, 1.152}, {-14.273185307179586`, 1.191}, {-14.096185307179585`, 1.242}, {-13.905185307179586`, 1.304}, {-13.695185307179585`, 1.373}, {-13.462185307179587`, 1.446}, {-13.199185307179587`, 1.514}, {-12.901185307179587`, 1.564}, {-12.558185307179587`, 1.579}, {-12.164185307179586`, 1.53}, {-11.960185307179586`, 1.476}, {-11.868185307179587`, 1.446}, {-11.774185307179586`, 1.41}, {-11.678185307179586`, 1.37}, {-11.579185307179586`, 1.324}, {-11.477185307179585`, 1.272}, {-11.374185307179587`, 1.214}, {-11.267185307179586`, 1.151}, {-11.158185307179586`, 1.081}, {-11.047185307179586`, 1.005}, {-10.934185307179586`, 0.922}, {-10.818185307179586`, 0.833}, {-10.700185307179586`, 0.738}, {-10.581185307179586`, 0.637}, {-10.459185307179586`, 0.53}, {-10.336185307179587`, 0.418}, {-10.212185307179587`, 0.301}, {-10.086185307179587`, 0.179}, {-9.959185307179586, 0.054}, {-9.832185307179586, -0.075}, {-9.704185307179586, -0.206}, \ {-9.575185307179586, -0.339}, {-9.447185307179586, -0.473}, \ {-9.319185307179586, -0.608}, {-9.191185307179586, -0.742}, \ {-9.064185307179587, -0.874}, {-8.938185307179586, -1.005}, \ {-8.813185307179586, -1.133}, {-8.690185307179586, -1.258}, \ {-8.568185307179586, -1.379}, {-8.447185307179586, -1.495}, \ {-8.329185307179586, -1.607}, {-8.212185307179587, -1.714}, \ {-8.098185307179586, -1.815}, {-7.9861853071795865`, -1.911}, \ {-7.8771853071795865`, -2.001}, {-7.770185307179586, -2.086}, \ {-7.665185307179586, -2.165}, {-7.5631853071795865`, -2.238}, \ {-7.463185307179586, -2.306}, {-7.367185307179586, -2.369}, \ {-7.272185307179586, -2.426}, {-7.181185307179586, -2.478}, \ {-7.092185307179586, -2.526}, {-7.005185307179586, -2.569}, \ {-6.8131853071795865`, -2.653}, {-6.444185307179586, -2.768}, \ {-6.130185307179587, -2.817}, {-5.8611853071795865`, -2.822}, \ {-5.632185307179586, -2.799}, {-5.436185307179587, -2.76}, \ {-5.267185307179586, -2.71}, {-5.122185307179587, -2.654}, \ {-4.997185307179587, -2.596}, {-4.890185307179586, -2.537}, \ {-4.796185307179586, -2.477}, {-4.716185307179586, -2.418}, \ {-4.646185307179586, -2.359}, {-4.466185307179586, -2.154}, \ {-4.350185307179586, -1.894}, {-4.326185307179586, -1.655}, \ {-4.359185307179587, -1.43}, {-4.371185307179586, -1.388}, \ {-4.387185307179586, -1.337}, {-4.410185307179586, -1.272}, \ {-4.444185307179586, -1.191}, {-4.492185307179586, -1.091}, \ {-4.560185307179586, -0.97}, {-4.654185307179587, -0.826}, \ {-4.783185307179586, -0.659}, {-4.953185307179586, -0.476}, \ {-5.168185307179586, -0.285}, {-5.4301853071795865`, -0.104}, \ {-5.733185307179586, 0.048}, {-6.065185307179586, 0.159}, {-6.410185307179586, 0.233}, {-6.747185307179587, 0.299}, {-7.041185307179586, 0.41}, {-7.202185307179587, 0.681}, {-7.193185307179586, 0.727}, {-7.169185307179586, 0.789}, {-7.115185307179586, 0.874}, {-7.000185307179586, 0.993}, {-6.755185307179586, 1.154}, {-6.556185307179586, 1.237}, {-6.447185307179586, 1.269}, {-6.317185307179586, 1.296}, {-6.161185307179586, 1.314}, {-5.973185307179587, 1.314}, {-5.746185307179586, 1.287}, {-5.468185307179587, 1.215}, {-5.1271853071795865`, 1.071}, {-4.943185307179586, 0.97}, {-4.859185307179587, 0.919}, {-4.772185307179586, 0.862}, {-4.681185307179586, 0.8}, {-4.586185307179586, 0.732}, {-4.488185307179586, 0.658}, {-4.386185307179586, 0.578}, {-4.280185307179586, 0.49}, {-4.170185307179587, 0.396}, {-4.056185307179586, 0.294}, {-3.938185307179586, 0.186}, {-3.816185307179586, 0.07}, {-3.6901853071795863`, -0.052}, {-3.5611853071795863`, \ -0.181}, {-3.4281853071795862`, -0.316}, {-3.2911853071795862`, -0.457}, \ {-3.151185307179586, -0.602}, {-3.0081853071795863`, -0.752}, \ {-2.8621853071795864`, -0.905}, {-2.7131853071795864`, -1.059}, \ {-2.563185307179586, -1.214}, {-2.410185307179586, -1.369}, \ {-2.256185307179586, -1.522}, {-2.102185307179586, -1.671}, \ {-1.947185307179586, -1.817}, {-1.7921853071795866`, -1.956}, \ {-1.6371853071795863`, -2.089}, {-1.4831853071795864`, -2.214}, \ {-1.3311853071795863`, -2.331}, {-1.1801853071795865`, -2.439}, \ {-1.0311853071795865`, -2.538}, {-0.8841853071795862, -2.627}, \ {-0.7411853071795864, -2.707}, {-0.6001853071795864, -2.776}, \ {-0.4621853071795865, -2.837}, {-0.32818530717958616`, -2.889}, \ {-0.19718530717958593`, -2.932}, {-0.07018530717958615, -2.968}, { 0.09581469282041333, -3.004}, {0.1418146928204136, -3.012}, { 0.19881469282041397`, -3.021}, {0.27081469282041404`, -3.031}, { 0.3608146928204139, -3.04}, {0.472814692820414, -3.047}, { 0.6088146928204141, -3.049}, {0.7728146928204138, -3.044}, { 0.9678146928204141, -3.026}, {1.193814692820414, -2.99}, { 1.4478146928204136`, -2.935}, {1.727814692820413, -2.858}, { 2.0218146928204135`, -2.763}, {2.321814692820414, -2.654}, { 2.6118146928204133`, -2.538}, {2.879814692820414, -2.416}, { 3.113814692820414, -2.289}, {3.307814692820413, -2.157}, { 3.541814692820413, -1.998}, {3.5758146928204138`, -1.986}, { 3.6198146928204142`, -1.976}, {3.679814692820413, -1.975}, { 3.7658146928204133`, -1.991}, {3.8948146928204146`, -2.044}, { 4.097814692820414, -2.165}, {4.420814692820414, -2.395}, { 4.456814692820414, -2.421}, {4.503814692820415, -2.456}, { 4.566814692820413, -2.502}, {4.649814692820414, -2.563}, { 4.761814692820414, -2.642}, {4.911814692820414, -2.747}, { 5.1148146928204135`, -2.882}, {5.389814692820414, -3.047}, { 5.759814692820413, -3.234}, {5.843814692820414, -3.27}, { 5.932814692820413, -3.306}, {6.025814692820413, -3.34}, { 6.124814692820413, -3.373}, {6.2268146928204136`, -3.405}, { 6.333814692820415, -3.433}, {6.445814692820413, -3.46}, { 6.606814692820414, -3.49}, {6.651814692820414, -3.497}, { 6.709814692820414, -3.506}, {6.783814692820414, -3.515}, { 6.877814692820413, -3.524}, {6.995814692820414, -3.532}, { 7.144814692820415, -3.538}, {7.329814692820413, -3.538}, { 7.556814692820414, -3.53}, {7.831814692820414, -3.511}, { 8.155814692820414, -3.482}, {8.530814692820414, -3.453}, { 8.693814692820414, -3.445}, {8.737814692820415, -3.443}, { 8.794814692820413, -3.441}, {8.864814692820413, -3.44}, { 8.952814692820414, -3.44}, {9.062814692820414, -3.442}, { 9.196814692820414, -3.448}, {9.359814692820414, -3.461}, { 9.555814692820414, -3.484}, {9.788814692820413, -3.524}, { 10.023814692820412`, -3.577}, {10.064814692820413`, -3.588}, { 10.116814692820412`, -3.601}, {10.181814692820414`, -3.619}, { 10.262814692820413`, -3.642}, {10.362814692820415`, -3.672}, { 10.485814692820412`, -3.71}, {10.635814692820414`, -3.76}, { 10.814814692820413`, -3.82}, {10.981814692820414`, -3.878}, { 11.026814692820412`, -3.893}, {11.082814692820413`, -3.913}, { 11.153814692820415`, -3.937}, {11.240814692820415`, -3.966}, { 11.347814692820414`, -4.001}, {11.476814692820415`, -4.043}, { 11.674814692820412`, -4.101}, {11.714814692820415`, -4.113}, { 11.764814692820412`, -4.126}, {11.826814692820413`, -4.142}, { 11.902814692820414`, -4.161}, {11.993814692820415`, -4.182}, { 12.202814692820414`, -4.223}, {12.239814692820413`, -4.229}, { 12.283814692820414`, -4.236}, {12.337814692820412`, -4.243}, { 12.400814692820415`, -4.251}, {12.591814692820414`, -4.264}, { 12.624814692820415`, -4.265}, {12.662814692820415`, -4.265}, { 12.790814692820415`, -4.243}, {12.607814692820412`, -4.144}, { 12.442814692820413`, -4.088}, {12.388814692820414`, -4.069}, { 12.208814692820415`, -4.005}, {12.169814692820413`, -3.99}, { 12.117814692820414`, -3.97}, {12.048814692820415`, -3.943}, { 11.860814692820412`, -3.866}, {11.822814692820415`, -3.85}, { 11.774814692820414`, -3.828}, {11.710814692820414`, -3.8}, { 11.628814692820413`, -3.763}, {11.436814692820413`, -3.674}, { 11.400814692820415`, -3.657}, {11.354814692820415`, -3.635}, { 11.295814692820414`, -3.607}, {11.219814692820414`, -3.57}, { 11.121814692820415`, -3.523}, {10.937814692820414`, -3.436}, { 10.895814692820412`, -3.416}, {10.842814692820415`, -3.392}, { 10.773814692820412`, -3.361}, {10.685814692820415`, -3.322}, { 10.571814692820414`, -3.274}, {10.413814692820413`, -3.212}, { 10.368814692820415`, -3.196}, {10.309814692820414`, -3.175}, { 10.234814692820414`, -3.15}, {10.135814692820414`, -3.12}, { 10.007814692820414`, -3.086}, {9.839814692820415, -3.049}, { 9.789814692820414, -3.04}, {9.725814692820414, -3.029}, { 9.642814692820414, -3.018}, {9.531814692820413, -3.006}, { 9.382814692820414, -2.997}, {9.164814692820414, -2.995}, { 9.118814692820413, -2.996}, {9.057814692820413, -2.998}, { 8.977814692820413, -3.003}, {8.871814692820413, -3.011}, { 8.728814692820414, -3.026}, {8.531814692820413, -3.052}, { 8.220814692820413, -3.1}, {8.180814692820414, -3.107}, { 8.127814692820413, -3.115}, {8.057814692820413, -3.127}, { 7.964814692820413, -3.141}, {7.842814692820413, -3.16}, { 7.676814692820415, -3.183}, {7.450814692820414, -3.208}, { 7.136814692820414, -3.225}, {6.828814692820414, -3.217}, { 6.644814692820415, -3.199}, {6.600814692820414, -3.193}, { 6.543814692820414, -3.184}, {6.469814692820414, -3.17}, { 6.372814692820414, -3.15}, {6.245814692820414, -3.118}, { 6.078814692820414, -3.067}, {5.858814692820413, -2.983}, { 5.5698146928204135`, -2.845}, {5.300814692820413, -2.688}, { 5.220814692820413, -2.636}, {5.136814692820414, -2.579}, { 5.047814692820413, -2.517}, {4.954814692820413, -2.448}, { 4.855814692820413, -2.373}, {4.753814692820415, -2.291}, { 4.6468146928204135`, -2.202}, {4.534814692820413, -2.106}, { 4.417814692820414, -2.003}, {4.291814692820413, -1.888}, { 4.256814692820413, -1.855}, {4.211814692820413, -1.812}, { 4.153814692820413, -1.757}, {4.079814692820413, -1.686}, { 3.9878146928204146`, -1.597}, {3.868814692820413, -1.479}, { 3.719814692820414, -1.328}, {3.5348146928204134`, -1.139}, { 3.3088146928204143`, -0.907}, {3.036814692820414, -0.629}, { 2.8098146928204137`, -0.401}, {2.746814692820413, -0.338}, { 2.680814692820414, -0.275}, {2.6148146928204135`, -0.211}, { 2.546814692820414, -0.147}, {2.477814692820413, -0.083}, { 2.4078146928204145`, -0.019}, {2.251814692820414, 0.119}, { 2.2218146928204145`, 0.145}, {2.1838146928204143`, 0.177}, { 2.1368146928204137`, 0.216}, {2.078814692820414, 0.263}, { 2.006814692820413, 0.319}, {1.9208146928204144`, 0.385}, { 1.8178146928204146`, 0.459}, {1.6978146928204136`, 0.539}, { 1.5628146928204139`, 0.62}, {1.416814692820414, 0.695}, { 1.2168146928204138`, 0.772}, {1.182814692820414, 0.781}, { 1.1418146928204136`, 0.79}, {1.0968146928204137`, 0.798}, { 1.0478146928204142`, 0.801}, {0.9998146928204141, 0.798}, { 1.0808146928204136`, 0.505}, {1.2078146928204134`, 0.395}, { 1.3448146928204139`, 0.286}, {1.5878146928204142`, 0.106}, { 1.7218146928204145`, 0}, {1.8548146928204137`, -0.117}, { 1.9808146928204131`, -0.242}, {2.0108146928204143`, -0.274}, { 2.1278146928204134`, -0.409}, {2.153814692820413, -0.442}, { 2.187814692820414, -0.486}, {2.2958146928204144`, -0.636}, { 2.3228146928204136`, -0.676}, {2.355814692820413, -0.729}, { 2.446814692820414, -0.883}, {2.4688146928204144`, -0.922}, { 2.4948146928204142`, -0.974}, {2.5268146928204143`, -1.042}, { 2.5908146928204143`, -1.194}, {2.6068146928204143`, -1.238}, { 2.6248146928204132`, -1.296}, {2.645814692820414, -1.372}, { 2.674814692820414, -1.538}, {2.6788146928204135`, -1.586}, { 2.679814692820413, -1.647}, {2.674814692820414, -1.727}, { 2.6388146928204144`, -1.887}, {2.621814692820413, -1.933}, { 2.592814692820413, -1.992}, {2.546814692820414, -2.069}, { 2.416814692820413, -2.223}, {2.3788146928204146`, -2.259}, { 2.323814692820413, -2.306}, {2.243814692820413, -2.368}, { 2.1228146928204144`, -2.451}, {1.8808146928204135`, -2.587}, { 1.8418146928204138`, -2.606}, {1.7908146928204136`, -2.63}, { 1.7198146928204139`, -2.662}, {1.621814692820414, -2.704}, { 1.4828146928204138`, -2.758}, {1.275814692820414, -2.825}, { 0.956814692820414, -2.901}, {0.7478146928204135, -2.931}, { 0.6438146928204134, -2.939}, {0.5278146928204137, -2.944}, { 0.3998146928204136, -2.943}, {0.19781469282041364`, -2.929}, { 0.15081469282041393`, -2.923}, {0.09081469282041343, -2.914}, { 0.009814692820413917, -2.9}, {-0.09718530717958629, -2.876}, \ {-0.24218530717958586`, -2.837}, {-0.44018530717958626`, -2.769}, \ {-0.7141853071795863, -2.648}, {-0.9841853071795859, -2.499}, \ {-1.0681853071795864`, -2.447}, {-1.157185307179586, -2.388}, \ {-1.253185307179586, -2.322}, {-1.3561853071795866`, -2.247}, \ {-1.4671853071795864`, -2.163}, {-1.5861853071795862`, -2.069}, \ {-1.713185307179586, -1.962}, {-1.849185307179586, -1.844}, \ {-1.995185307179586, -1.711}, {-2.1511853071795866`, -1.564}, \ {-2.317185307179586, -1.401}, {-2.4951853071795864`, -1.223}, \ {-2.683185307179586, -1.03}, {-2.8821853071795864`, -0.822}, \ {-3.0921853071795864`, -0.602}, {-3.313185307179586, -0.372}, \ {-3.542185307179586, -0.136}, {-3.7791853071795862`, 0.102}, {-4.024185307179586, 0.336}, {-4.274185307179586, 0.56}, {-4.527185307179586, 0.767}, {-4.7811853071795865`, 0.954}, {-5.000185307179587, 1.095}, {-5.037185307179586, 1.117}, {-5.085185307179586, 1.144}, {-5.145185307179586, 1.177}, {-5.222185307179586, 1.217}, {-5.318185307179586, 1.263}, {-5.436185307179587, 1.314}, {-5.584185307179586, 1.368}, {-5.764185307179586, 1.42}, {-5.980185307179586, 1.461}, {-6.234185307179586, 1.48}, {-6.525185307179586, 1.463}, {-6.850185307179586, 1.398}, {-7.202185307179587, 1.284}, {-7.575185307179586, 1.129}, {-7.968185307179587, 0.965}, {-8.254185307179586, 0.872}, {-8.283185307179586, 0.865}, {-8.300185307179586, 0.862}, {-8.576185307179585, 0.821}, {-8.891185307179587, 0.839}, {-9.135185307179587, 0.899}, {-9.326185307179585, 0.97}, {-9.476185307179586, 1.039}, {-9.595185307179586, 1.099}, {-9.687185307179586, 1.15}, {-9.760185307179587, 1.192}, {-9.817185307179585, 1.226}, {-9.861185307179586, 1.252}, {-9.896185307179586, 1.273}, {-10.245185307179586`, 1.496}, {-10.524185307179586`, 1.677}, {-10.740185307179587`, 1.813}, {-10.905185307179586`, 1.912}, {-11.032185307179585`, 1.984}, {-11.129185307179586`, 2.037}, {-11.204185307179586`, 2.076}, {-11.261185307179586`, 2.104}, {-11.305185307179586`, 2.125}, {-11.457185307179586`, 2.193}, {-11.740185307179587`, 2.297}, {-11.938185307179587`, 2.349}, {-12.078185307179586`, 2.374}, {-12.177185307179586`, 2.385}, {-12.249185307179587`, 2.389}, {-12.301185307179587`, 2.389}, {-12.512185307179585`, 2.369}, {-12.625185307179585`, 2.341}, {-12.703185307179586`, 2.315}, {-12.764185307179586`, 2.293}, {-12.815185307179586`, 2.276}, {-12.859185307179587`, 2.262}, {-12.897185307179587`, 2.252}, {-12.929185307179587`, 2.244}, {-13.261185307179586`, 2.182}, {-13.593185307179585`, 2.127}, {-13.942185307179585`, 2.072}, {-14.271185307179586`, 2.034}, {-14.560185307179585`, 2.024}, {-14.804185307179587`, 2.041}, {-15.004185307179586`, 2.074}, {-15.165185307179586`, 2.116}, {-15.292185307179587`, 2.157}, {-15.392185307179586`, 2.196}, {-15.469185307179586`, 2.229}, {-15.530185307179586`, 2.258}, {-15.576185307179585`, 2.281}, {-15.612185307179587`, 2.3}, {-15.849185307179587`, 2.44}, {-15.995185307179586`, 2.545}, {-16.107185307179584`, 2.642}, {-16.174185307179584`, 2.796}, {-16.088185307179586`, 2.815}, {-15.913185307179587`, 2.803}, {-15.629185307179586`, 2.771}, {-15.335185307179586`, 2.748}, {-15.240185307179587`, 2.745}, {-15.137185307179585`, 2.744}, {-15.027185307179586`, 2.745}, {-14.908185307179586`, 2.75}, {-14.780185307179586`, 2.759}, {-14.641185307179587`, 2.771}, {-14.491185307179586`, 2.789}, {-14.327185307179587`, 2.811}, {-14.148185307179586`, 2.837}, {-13.953185307179586`, 2.866}, {-13.739185307179586`, 2.896}, {-13.503185307179585`, 2.923}, {-13.242185307179586`, 2.941}, {-12.954185307179586`, 2.944}, {-12.635185307179587`, 2.919}, {-12.283185307179586`, 2.853}, {-11.898185307179586`, 2.735}, {-11.708185307179587`, 2.658}, {-11.624185307179587`, 2.621}, {-11.539185307179586`, 2.581}, {-11.453185307179586`, 2.538}, {-11.366185307179586`, 2.493}, {-11.277185307179586`, 2.445}, {-11.188185307179587`, 2.395}, {-11.098185307179588`, 2.342}, {-11.007185307179586`, 2.288}, {-10.915185307179586`, 2.231}, {-10.822185307179586`, 2.172}, {-10.728185307179587`, 2.111}, {-10.634185307179585`, 2.05}, {-10.539185307179586`, 1.986}, {-10.444185307179586`, 1.923}, {-10.348185307179588`, 1.858}, {-10.252185307179586`, 1.794}, {-10.156185307179587`, 1.73}, {-10.059185307179586`, 1.666}, {-9.962185307179587, 1.604}, {-9.865185307179587, 1.543}, {-9.768185307179586, 1.483}, {-9.671185307179586, 1.427}, {-9.573185307179585, 1.372}, {-9.476185307179586, 1.322}, {-9.377185307179586, 1.274}, {-9.279185307179587, 1.231}, {-9.180185307179586, 1.192}, {-9.081185307179586, 1.158}, {-8.980185307179585, 1.13}, {-8.879185307179586, 1.107}, {-8.776185307179587, 1.09}, {-8.672185307179586, 1.079}, {-8.565185307179586, 1.075}, {-8.456185307179586, 1.079}, {-8.344185307179586, 1.089}, {-8.227185307179585, 1.107}, {-8.106185307179587, 1.133}, {-7.979185307179586, 1.166}, {-7.849185307179586, 1.204}, {-7.706185307179586, 1.251}, {-7.553185307179586, 1.303}, {-7.388185307179587, 1.359}, {-7.208185307179586, 1.417}, {-7.0101853071795865`, 1.474}, {-6.792185307179587, 1.523}, {-6.549185307179586, 1.557}, {-6.283185307179586, 1.566}, {-5.979185307179586, 1.537}, {-5.639185307179586, 1.454}, {-5.2601853071795865`, 1.297}, {-5.1801853071795865`, 1.255}, {-5.098185307179586, 1.21}, {-5.014185307179586, 1.16}, {-4.929185307179586, 1.107}, {-4.842185307179586, 1.05}, {-4.754185307179586, 0.989}, {-4.6641853071795865`, 0.924}, {-4.572185307179586, 0.855}, {-4.480185307179586, 0.781}, {-4.386185307179586, 0.704}, {-4.291185307179586, 0.624}, {-4.195185307179586, 0.539}, {-4.097185307179586, 0.451}, {-3.9991853071795864`, 0.36}, {-3.9001853071795862`, 0.266}, {-3.800185307179586, 0.169}, {-3.699185307179586, 0.069}, {-3.5971853071795863`, -0.033}, {-3.4961853071795863`, \ -0.136}, {-3.3941853071795864`, -0.241}, {-3.2911853071795862`, -0.348}, \ {-3.1891853071795864`, -0.455}, {-3.087185307179586, -0.562}, \ {-2.9841853071795863`, -0.669}, {-2.8831853071795863`, -0.776}, \ {-2.7811853071795865`, -0.882}, {-2.680185307179586, -0.986}, \ {-2.5801853071795864`, -1.09}, {-2.4801853071795863`, -1.191}, \ {-2.3821853071795864`, -1.29}, {-2.284185307179586, -1.386}, \ {-2.1881853071795865`, -1.48}, {-2.0921853071795864`, -1.571}, \ {-1.998185307179586, -1.659}, {-1.9051853071795861`, -1.744}, \ {-1.8131853071795865`, -1.825}, {-1.7231853071795866`, -1.903}, \ {-1.6341853071795862`, -1.977}, {-1.5471853071795865`, -2.047}, \ {-1.4621853071795865`, -2.114}, {-1.378185307179586, -2.177}, \ {-1.2951853071795858`, -2.237}, {-1.2141853071795863`, -2.293}, \ {-1.1351853071795865`, -2.345}, {-0.8591853071795859, -2.51}, \ {-0.5171853071795862, -2.669}, {-0.21518530717958662`, -2.768}, { 0.052814692820414066`, -2.821}, {0.28881469282041383`, -2.841}, { 0.496814692820414, -2.837}, {0.6808146928204142, -2.817}, { 0.8438146928204135, -2.786}, {0.9878146928204137, -2.747}, { 1.1158146928204138`, -2.705}, {1.2298146928204137`, -2.66}, { 1.331814692820414, -2.612}, {1.4228146928204142`, -2.565}, { 1.677814692820414, -2.393}, {1.8918146928204145`, -2.171}, { 2.0038146928204146`, -1.966}, {2.0518146928204146`, -1.774}, { 2.0568146928204136`, -1.592}, {2.030814692820414, -1.42}, { 1.9838146928204132`, -1.258}, {1.9218146928204138`, -1.104}, { 1.8498146928204129`, -0.96}, {1.770814692820414, -0.826}, { 1.6878146928204139`, -0.7}, {1.6018146928204136`, -0.584}, { 1.5148146928204138`, -0.477}, {1.4288146928204135`, -0.379}, { 1.342814692820414, -0.288}, {1.2588146928204136`, -0.206}, { 1.1768146928204137`, -0.13}, {1.0968146928204137`, -0.062}, { 1.0198146928204137`, 0.001}, {0.8498146928204138, 0.126}, { 0.5358146928204137, 0.321}, {0.2908146928204136, 0.455}, { 0.10681469282041345`, 0.559}, {-0.021185307179586665`, 0.653}, {-0.09618530717958595, 0.746}, {-0.12018530717958598`, 0.84}, {-0.08818530717958595, 0.935}, {0.004814692820414024, 1.027}, { 0.1678146928204134, 1.103}, {0.41681469282041395`, 1.143}, { 0.7718146928204135, 1.106}, {0.8568146928204134, 1.084}, { 0.9478146928204136, 1.056}, {1.0438146928204137`, 1.02}, { 1.145814692820414, 0.977}, {1.2538146928204137`, 0.925}, { 1.3678146928204136`, 0.864}, {1.488814692820414, 0.793}, { 1.6158146928204138`, 0.71}, {1.7488146928204138`, 0.616}, { 1.8888146928204144`, 0.51}, {2.0358146928204146`, 0.392}, { 2.1888146928204133`, 0.261}, {2.347814692820414, 0.118}, { 2.512814692820413, -0.037}, {2.682814692820413, -0.203}, { 2.8588146928204132`, -0.378}, {3.0378146928204135`, -0.562}, { 3.2218146928204145`, -0.752}, {3.4078146928204145`, -0.946}, { 3.5968146928204145`, -1.141}, {3.7858146928204146`, -1.336}, { 3.9768146928204136`, -1.526}, {4.165814692820414, -1.711}, { 4.353814692820414, -1.887}, {4.539814692820414, -2.054}, { 4.722814692820414, -2.208}, {4.902814692820414, -2.351}, { 5.077814692820414, -2.48}, {5.248814692820414, -2.595}, { 5.414814692820414, -2.697}, {5.574814692820414, -2.786}, { 5.729814692820414, -2.862}, {5.878814692820415, -2.927}, { 6.022814692820413, -2.981}, {6.159814692820413, -3.025}, { 6.292814692820414, -3.061}, {6.419814692820413, -3.088}, { 6.541814692820413, -3.109}, {6.6578146928204145`, -3.124}, { 6.769814692820415, -3.134}, {6.8758146928204145`, -3.139}, { 6.978814692820414, -3.141}, {7.076814692820413, -3.14}, { 7.169814692820413, -3.136}, {7.584814692820414, -3.091}, { 7.922814692820413, -3.03}, {8.201814692820413, -2.97}, { 8.434814692820414, -2.918}, {8.631814692820413, -2.875}, { 8.801814692820415, -2.841}, {8.948814692820413, -2.815}, { 9.078814692820414, -2.794}, {9.192814692820415, -2.779}, { 9.294814692820413, -2.767}, {9.599814692820413, -2.751}, { 9.887814692820413, -2.765}, {10.089814692820415`, -2.795}, { 10.240814692820415`, -2.831}, {10.355814692820413`, -2.865}, { 10.445814692820413`, -2.896}, {10.515814692820413`, -2.922}, { 10.570814692820413`, -2.944}, {10.613814692820412`, -2.962}, { 10.767814692820412`, -3.031}, {10.908814692820414`, -3.099}, { 11.051814692820415`, -3.171}, {11.200814692820416`, -3.248}, { 11.352814692820413`, -3.326}, {11.510814692820414`, -3.406}, { 11.671814692820412`, -3.484}, {11.837814692820412`, -3.56}, { 12.006814692820413`, -3.631}, {12.178814692820414`, -3.697}, { 12.352814692820413`, -3.756}, {12.527814692820414`, -3.808}, { 12.702814692820414`, -3.851}, {12.877814692820415`, -3.887}, { 13.050814692820413`, -3.914}, {13.221814692820413`, -3.935}, { 13.388814692820414`, -3.95}, {13.553814692820414`, -3.959}, { 13.714814692820415`, -3.964}, {13.870814692820414`, -3.967}, { 14.022814692820415`, -3.968}, {14.169814692820413`, -3.968}, { 14.312814692820414`, -3.968}, {14.450814692820416`, -3.968}, { 14.584814692820412`, -3.97}, {14.712814692820412`, -3.974}, { 14.837814692820412`, -3.98}, {14.956814692820412`, -3.987}, { 15.072814692820415`, -3.997}, {15.183814692820413`, -4.01}, { 15.290814692820415`, -4.024}, {15.393814692820413`, -4.041}, { 15.492814692820414`, -4.059}, {15.587814692820412`, -4.079}, { 15.678814692820414`, -4.101}, {16.078814692820412`, -4.223}, { 16.380814692820415`, -4.347}, {16.580814692820415`, -4.45}, { 16.576814692820413`, -4.542}, {16.332814692820413`, -4.504}, { 16.044814692820413`, -4.455}, {15.947814692820415`, -4.44}, { 15.843814692820413`, -4.425}, {15.730814692820413`, -4.412}, { 15.609814692820414`, -4.399}, {15.478814692820414`, -4.389}, { 15.337814692820412`, -4.381}, {15.186814692820413`, -4.377}, { 15.023814692820412`, -4.377}, {14.850814692820414`, -4.381}, { 14.664814692820414`, -4.389}, {14.465814692820413`, -4.401}, { 14.252814692820415`, -4.417}, {14.024814692820414`, -4.434}, { 13.781814692820415`, -4.45}, {13.522814692820415`, -4.461}, { 13.246814692820415`, -4.464}, {12.953814692820412`, -4.453}, { 12.643814692820413`, -4.422}, {12.315814692820414`, -4.368}, { 11.968814692820413`, -4.287}, {11.600814692820414`, -4.177}, { 11.210814692820414`, -4.042}, {10.906814692820415`, -3.931}, { 10.821814692820414`, -3.9}, {10.734814692820414`, -3.868}, { 10.645814692820412`, -3.836}, {10.556814692820414`, -3.805}, { 10.464814692820415`, -3.773}, {10.370814692820414`, -3.742}, { 10.275814692820415`, -3.711}, {10.178814692820414`, -3.682}, { 10.078814692820412`, -3.653}, {9.977814692820413, -3.626}, { 9.873814692820414, -3.6}, {9.767814692820412, -3.576}, { 9.658814692820414, -3.555}, {9.546814692820414, -3.535}, { 9.430814692820414, -3.519}, {9.311814692820414, -3.505}, { 9.189814692820415, -3.494}, {9.062814692820414, -3.487}, { 8.931814692820414, -3.483}, {8.796814692820414, -3.483}, { 8.655814692820414, -3.486}, {8.510814692820414, -3.492}, { 8.358814692820413, -3.502}, {8.201814692820413, -3.513}, { 8.038814692820413, -3.526}, {7.869814692820414, -3.54}, { 7.693814692820414, -3.552}, {7.512814692820413, -3.562}, { 7.324814692820414, -3.567}, {7.1308146928204135`, -3.565}, { 6.931814692820414, -3.555}, {6.728814692820414, -3.534}, { 6.522814692820413, -3.501}, {6.313814692820413, -3.454}, { 6.105814692820413, -3.393}, {5.897814692820413, -3.317}, { 5.693814692820414, -3.229}, {5.493814692820413, -3.13}, { 5.300814692820413, -3.023}, {5.1148146928204135`, -2.91}, { 4.938814692820413, -2.796}, {4.772814692820413, -2.682}, { 4.617814692820414, -2.573}, {4.474814692820413, -2.471}, { 4.342814692820413, -2.378}, {4.222814692820414, -2.295}, { 4.113814692820414, -2.225}, {4.015814692820413, -2.166}, { 3.8228146928204136`, -2.079}, {3.507814692820414, -2.103}, { 3.349814692820413, -2.193}, {3.2668146928204145`, -2.244}, { 3.166814692820413, -2.301}, {3.0428146928204143`, -2.366}, { 2.8888146928204144`, -2.44}, {2.6918146928204134`, -2.525}, { 2.4348146928204137`, -2.626}, {2.100814692820414, -2.748}, { 1.9038146928204132`, -2.813}, {1.8098146928204137`, -2.843}, { 1.709814692820414, -2.873}, {1.6018146928204136`, -2.903}, { 1.4878146928204137`, -2.933}, {1.363814692820414, -2.962}, { 1.2318146928204134`, -2.99}, {1.089814692820414, -3.015}, { 0.9378146928204139, -3.035}, {0.7728146928204138, -3.049}, { 0.5958146928204133, -3.055}, {0.4058146928204138, -3.048}, { 0.20081469282041375`, -3.026}, {-0.02018530717958633, -2.984}, \ {-0.2561853071795861, -2.917}, {-0.5091853071795862, -2.821}, \ {-0.777185307179586, -2.69}, {-1.0611853071795858`, -2.522}, \ {-1.3581853071795864`, -2.314}, {-1.6671853071795866`, -2.067}, \ {-1.9851853071795862`, -1.784}, {-2.2221853071795863`, -1.558}, \ {-2.2871853071795862`, -1.495}, {-2.352185307179586, -1.43}, \ {-2.417185307179586, -1.365}, {-2.482185307179586, -1.299}, \ {-2.547185307179586, -1.233}, {-2.6121853071795864`, -1.167}, \ {-2.6771853071795864`, -1.1}, {-2.7411853071795864`, -1.033}, \ {-2.8061853071795864`, -0.966}, {-2.8701853071795864`, -0.899}, \ {-2.934185307179586, -0.832}, {-2.998185307179586, -0.765}, \ {-3.0611853071795863`, -0.699}, {-3.1241853071795864`, -0.633}, \ {-3.187185307179586, -0.567}, {-3.4951853071795864`, -0.251}, \ {-3.7901853071795863`, 0.042}, {-4.0711853071795865`, 0.305}, {-4.335185307179586, 0.532}, {-4.582185307179586, 0.725}, {-4.811185307179587, 0.884}, {-5.0231853071795864`, 1.011}, {-5.219185307179586, 1.11}, {-5.3981853071795864`, 1.185}, {-5.5631853071795865`, 1.239}, {-5.714185307179586, 1.275}, {-5.852185307179586, 1.297}, {-5.979185307179586, 1.307}, {-6.094185307179586, 1.308}, {-6.200185307179586, 1.302}, {-6.298185307179586, 1.289}, {-6.673185307179586, 1.177}, {-6.913185307179586, 1.037}, {-7.059185307179586, 0.9}, {-7.136185307179586, 0.777}, {-7.159185307179587, 0.667}, {-7.138185307179587, 0.571}, {-7.0791853071795865`, 0.488}, {-6.984185307179586, 0.418}, {-6.857185307179586, 0.36}, {-6.6961853071795865`, 0.312}, {-6.499185307179586, 0.269}, {-6.262185307179586, 0.221}, {-5.977185307179586, 0.148}, {-5.637185307179586, 0.018}, {-5.458185307179586, -0.077}, {-5.3771853071795865`, -0.126}, \ {-5.294185307179586, -0.182}, {-5.209185307179586, -0.244}, \ {-5.122185307179587, -0.313}, {-5.033185307179586, -0.389}, \ {-4.944185307179586, -0.474}, {-4.855185307179586, -0.568}, \ {-4.766185307179587, -0.67}, {-4.678185307179586, -0.782}, \ {-4.594185307179586, -0.904}, {-4.516185307179587, -1.034}, \ {-4.445185307179586, -1.175}, {-4.3851853071795865`, -1.324}, \ {-4.342185307179586, -1.484}, {-4.3211853071795865`, -1.652}, \ {-4.332185307179586, -1.83}, {-4.388185307179587, -2.02}, \ {-4.511185307179586, -2.221}, {-4.737185307179586, -2.437}, \ {-4.894185307179586, -2.542}, {-4.975185307179586, -2.587}, \ {-5.066185307179586, -2.631}, {-5.167185307179587, -2.674}, \ {-5.280185307179586, -2.716}, {-5.4061853071795865`, -2.753}, \ {-5.549185307179586, -2.786}, {-5.708185307179586, -2.811}, \ {-5.888185307179587, -2.824}, {-6.091185307179586, -2.82}, \ {-6.319185307179586, -2.793}, {-6.576185307179586, -2.734}, \ {-6.866185307179586, -2.632}, {-7.191185307179587, -2.473}, \ {-7.452185307179587, -2.314}, {-7.527185307179586, -2.264}, \ {-7.6031853071795865`, -2.21}, {-7.681185307179586, -2.154}, \ {-7.7601853071795865`, -2.094}, {-7.840185307179587, -2.031}, \ {-7.9221853071795865`, -1.965}, {-8.006185307179587, -1.895}, \ {-8.090185307179587, -1.822}, {-8.176185307179587, -1.746}, \ {-8.264185307179586, -1.667}, {-8.352185307179585, -1.586}, \ {-8.442185307179585, -1.501}, {-8.532185307179587, -1.413}, \ {-8.626185307179586, -1.322}, {-8.718185307179587, -1.229}, \ {-8.812185307179586, -1.135}, {-8.906185307179587, -1.038}, \ {-9.001185307179586, -0.94}, {-9.097185307179586, -0.841}, \ {-9.193185307179586, -0.74}, {-9.289185307179586, -0.639}, \ {-9.386185307179586, -0.538}, {-9.483185307179586, -0.436}, \ {-9.580185307179587, -0.335}, {-9.677185307179586, -0.234}, \ {-9.774185307179586, -0.134}, {-9.871185307179587, -0.036}, \ {-9.967185307179587, 0.061}, {-10.063185307179586`, 0.156}, {-10.158185307179586`, 0.249}, {-10.252185307179586`, 0.339}, {-10.346185307179585`, 0.427}}]], LineBox[CompressedData[" 1:eJxdW3dYk9f3ZyYBQiAhogKy90wCGYB6L+C2zrprHTjrrvpVa9177zqLe686 UXG811HFRd2zDkREHMiGsPyRe07S5/nxj0+e5L3jjM/5nM959Usd23WIjZWV VYSdlZXp3y3PR7q+DE1hvyuPts6eqqSTHn6auqFJCmuVXlL7aIqSvpDduhVo n8L2brnme2y8kmYudbCa+z2Z/drM8emucUoa/ufAeH1lMhPN/iNl6Sglnbh/ 0OBLBcmMfxympNWXmsamv0tmN9rrFycNUNKPidOGK+8ms7zqA0UPOihpW78O S79dT2Zt6jc/2lpJE0o3f/1+KZlNGL766zSipKomFdOunEpmHVNde8XHKemm o++N1puT2cH6p1NdlbTD5J/O7liXzB5PyQ9WS5S0qY+/3fPlyezY+PoFatxo xfBokd38ZJb4ptPyDQVuVNpwUt6M35JZ8oDce/4v3eg1bfWDewOTGb/9UTe6 rteTO536JrP6w+be2+kG9++ezKpmjLgwca0blVwelnGnfTKzMv3NcqOH1Huu 7SLJ7AfT9Ya40VkHV3x+FILrRbvRLnd/yf3RP5l1y9lTb0E3OjXMuK+tp/n8 bnTfy/UbiuTJjB/HqKDtf3i0I9M+mfVdeaUs9F8F3PdTEhvML6CgyqtrknLe JzGT9ZstUdAPrmVdEl8nwfO/Keg8q7RGCx8n4XkUdFq3WZf8byWx6UTbL6Ot gq6f+3NO6PkkVlrv3fxgBf2xsrA6ckcS+O+LHM63JQn89VZO3Qsa97qwNonp uUHk9EHqkXH1xmHc/RfltHm7Ax4npiWxS9s8Yl7tltN+/6wbNWJkEstoK7WJ WCinyw6fG/+5cxLj7h2I67dPYiFqyWGvPnJqXHva61VKEut61nv+5y5yOqDK c25KQhLGg5yuieqUPikqiZl+PThRTvvudu6x2iuJ3Zxk2lFOFRudIhxFuH+g nL7L+BC4uJCy+FOZky75yGny9jOtB3+izKd+9bPecrpktqav4t1/35cofJ93 eUrRP3KaGrRrk9dNCv73l9NnOcmn2qdTFsYdIof4TaMYj3Lq+/fFTON0yip/ rF+ghZwO7hx+rGwytZzfcNPtafA4yk6kfdt3vb0c/DuEWu4rS66t7dmLsmJT OPSS0wuLX08Z1Yoyft3+crrKJnNbWjRlQ/kffpZR9qcpHYfL6f3JlfdCXxBm yhZtPzn1eSEJS80iEN8/yWmPQe0WtxYIM4WLY085/eeHXzM6HSKs3jnuzzvK 6X7PX2Sxqwl7FWiKADmdcPHoteCxhHFzqOR0dNPGs7ckE4xXOR2yqiZYL8b1 X7rSPxs3X+h1tjnj4TvDlV5t1yo2fnxzZsrGw16uNOLf2GNThjVnPPykrnT6 uq7awb2bsy9dTAZwgfVaN2eN7XrIok64UKvuTZ4eiGnOeHgMdoHzyZtjfsho yIKgudfzm0E+j5HRKPH5613Sm8F5jznT3X/3yZ41oRmby27taJkupeInJzy0 Xs1YvbfqPe5E3Z692tH+cVPGw2G+I9jjdlPcz5H+76P25feLTTHeHOmxG/OH bzjcFPHFkZZ2Le60dn1TlsoXdAD7T22K+OkA63dvivHjQGM0ya/Cg5qy+sMq 5jIJndvg45RvuYnoLwnYa00ia2dKF3cJjVvU2fFVciLuJ6GT3S4WPZP+9/3b 3QfHNLJJRPtK6Ej5mhFXShJwPwn9+3932yqyE9jaRiaDSujDnTPzrG8m4H0k dGBCgXHegQTWpI8JUST0YKvCQOmsBMRvCW3lJH88o00C+9sUXqslYI/aePSP BPy9MR7tLaG/rgk52mFWPHueVVGfARK6tcXfaWVD4xEvJfTn92/uPGgfD3g8 TQLxFROP+S+h3QxXx49xjcd8loD/vxlYeagp4cRg73QD+k+M/jCg/cRw/u0G wKNmYnh+pQHjVUz7uwzLOTTVgPglok3+mq1Y3N+A/hJBfDQ1sNv10VJSa08/ BNETu2QGtI892PehHvPVjs4UnrdvtkjPeHnMt6Edz0TF5KToWRA3oDW9sb3b gM8xesQTa9jfQ4/2sqK/fHDslm+nZw9N6R5vRdckb3Z/81WH9vlOhp2f28z1 iQ7PV0f6nOuVbrygY/XJVW/QWsLjY6eO1ZjKZ2oNOTdh55XqhTrEl2rC7T1S x+pM8K6uIvw+HXUYP0bC7a3SMZN3GtlVknf/qOcXuerQ3uWE5/s7LYvhgFBG wo8f3rTtmZbVo0W9h8tIX9P6t7Vor1Jyolg6c9x5LfvH5P4tpUR+pMfS8Xu1 iJelhOfXUi1rsXRUfckvIdKebfqx4Vr0dwkRcftr0T/FBOJbi/lSTCr3W01v eSoO+UMJmWWy//A4rC+lcJ/OcXj+UhJtwgNdHNqrjDhGXm6d1zgO71tOgn7a OuprVSzg/7ZyUliT45/9LBbxr4I0jP6SVXsilpmiPe1bBeH5sCgW47kS7NEr FuunEfzhH4v5YiSDTXiWp8F8MZIvex+XRb/UIL8wov00bKzChFBGIpvzz8RN ZzSssN57+sVGsm60X9TZPzVobyNJb+N52P83DfPjAVJJHpnyua0G7VtJzpr8 L9ZAPTpVTjj+H1Wzyyb4KykhLd4uvrRnk9pi78s+gteAuWqM52KyfuP+lNUj 1Vh/isiS9dMvTO2qZvtNx0kqhPPp1YjfBWA/DzXG22c4b40K4/kjuev3adek f1Vspyk8Hr0nD0z4mKFi/+OAlA3xvV7FNprce+s54fk6VsV2jzNl8D2wX2sV 8IXsDFjfS8V4+l/6SzgwbkHuv29jGA/n51mC5sSHW0fmxiCevxReZ9GYfP8Y NpM7/L1w5Po6xcpL0Yy7c98n4VymsGlPT/PnQsH28eVrkQVRbH2KKUBLhIZz HfbumxOF9btCkNtMTPVyj0L+WyXMyB8rlR2IRH5cK3y6NzL9e2Ik4q8VG5/X Yn7FPxFYn63Z9mu/LJ0yJALj1Yat2XDm66LacObJE8yWPar489KhjeFmfGFD chvXvdWFY72zg++fhSE+2DP6ZuPwtJFhWD/tGT9fjzA8vz2D84ShvUVs/de/ PRI9wxCPRKxBrzkrs0pCWSz/E7HdHlPOhl8NRb4tYi20+/7otDgU80HEhLbd X6lahLKtJnfrRax42iLXwRUhjJdfhYjpJGUV/XeEoD/tWek+l5BmrUKAv/a1 Z06zX3uvzg9mATwh7cA+K4Px/LbM+fAQ7QhDMPCRLBt2snV4D4+IYOS7Nnj+ YLSPDXtwp8H+Bw7BaB9rsFd5EOPbrbRmlbVNun3LCcL7W7O4V6OzFzwIQjyw YhAPQcin6oQpw19kzrkQxHg4XK8Vfo6v3TXtfBDbbqKTolqB3+d6EOPw0aNK +DD158UdXgcxbi5tpcDtVX8e4NflwvtOT8ZPdAlmHO6KygXwdxDj5WS5UQh9 mdxnnDEI61mV0C696fMXZUGIb7UCt0dlEOZ3HcRvXRD667uw7kpzu1RpMOaf FePnTQxGvLFmX6qL7zxrF4znt2Gd9Q+8hqYG4/1twD8LghlPZxtb9i6wU98t LJgVmMpphi0bOfSvpFEBIYiPdmyWssI/b3II8gl7dnnivyUOa0PQH/bgv7Mh lvj8STZp+a4vIYh39uxZh0Off9aFAp99Yw/r7wpF/9lDvLUNQz5lD/F5Mgz5 nT174h/4eF5eGN7fnu035b9vOPSXeXZsRdIB9qR/OOa/HXOLqp5Stjsc+iNH O9Y1tXcsKQrH9WwxPiPYb5xA2bAlnzevDbwSgfFgzX5JDI1Y+ygC97NmWZPE v/t+iUD8tQL7OkZiPbBiVaF7RmRqIhFvrOC8wyIRv+oEbo/DkVh/a4U/x/zU 77o4Cp+vEsZeuDjGe3YUnrdCGL1a16tlcRTW3xKBn0cZzTrzglgsbE551Pqr IRrzq0iYoLiz5V6/aIyXQsHl6Zf2KQuj0Z9fhbfGGy2vHI9Ge3/C+I1GfvRR +KvIM2y4cwzWz/fCjbJf9X+QGIynbIH7Y0IM8pt/BZ6fh2KQHz0WuL3fm/H3 tuA5r6r6L1cV5vMZAfiGCvnKdjJ22PYNE7uoEA+uEc3PN0tsJ6qw3j+AerNB hfjzEvD/ggrxIptUPVy41jtHhf3eB/L7L7e9lzqqGS+nLT+R178F9CKx5s8F 8HxfNeZDEeH8dIGa3b1j+ismNXWygxXH1ey+qX0ZUUo+dr6ROe2VGuO1jGwu SB+X4qDB/rGCcH6v1WA+VAK/GalhPJ0ijMA/Jv1XvxvYDjkbOE+D9jHC839o 0D9GknzaZv+dgxq8n5HMM/UHf2uQ31dZ+ATw2yrC+aVLLNbbKlIXtp7do7Gg R1hVkX6c78ZifTIS6GdiER8rSYCqYQ+lNM7Cdy7ePPbtyJA4xL8ycvjXyYm5 R+OQj5Vi/Y5jPN3PlgJ/y4yz8D3OB17EIV8tBf5QHIf5hPzMVYv+LyVzPg1I dddrMZ5Kwb6/aBGvy4CPHNIi/yiH89nroL++VgnfR+gwfqsI7w90OjOeEs6v W+iQn1YRF1M89dRhP1gN9hurw/yvISu+LM2PXKXD+lkL98nQYT37DvFZqsP6 bg39VZLeXK+o3aEIu76j9eyqybxXbGnj3hNyn8zWI9+yo3z/DXrke3YU7KtH vLCH/veGHvHAni67bPfwx2w93k8E/aHCgPVERDmf9DTg82LK+XawAeuPmP6w bG8jR60B+YaYFoeMjM9obWCjueCG/dIAA/YHEtAHZhqQf0ngPPsMGM8O0L+8 MOD9HChd8vvqEs949K8j7bXi/jbfMfHIr50o588P4jHenCjvT8QJiO9OtI1u 4+ee+gTEIye6tzC7ondyAuanFPrBzgkM5Egp2HNgAuKbFJ6fnIDxK6U8f1cn 4HmkVHfyqW/68QSMTymFfioB64WU/ta8heREdQLipzOs1zAR7S2js03xWZGA 8eoC589LQDx2oQkOHzoM/ycB9Q8XWj79t6Gj9iRY9A6uB/RJYJNN7v/ZlS4a Wb5nR0AC6oWuqJ8kIB9wpe0G+tioP8SzzZtMf67U8LqffiWLR/3Rlc6nY1dm rouHfmOvK9rjv+/B/2Z7u1KOB28NqP+5Qj+7wgD28HSFfjPKgPjoQqEf0mO9 llGOV+/1aE8Z/fR7xzfd75jjVQb98Ek95qMzxMdmPeoHznD+Web4daaAL+b+ Vwr6TVs9xqsU9I1IPdZLJ7Cvi96i1/B4KNShHuJEeX25p0N7OUK//ZcO49UR 7rdch/2CA+X1YYQO8diBcnxtqcP+DvUPX51F7+D9XaXWopdwveIfLeafGOyz W4t4IqYczyab8UwM+kcrLerjYsrxQ6nF+iIGPeVVnEXP4PrBrjjku2KqMulF FjwWA974xSGeiWnG1rDnj57EWvKX23d+LOrpEsrxPdJcHyQ01GTvmxpL/tvM 2v11Tj8N1nsR5f1ja3M9EoHeptbg+USU47+Hud6JQA+00Zj5HOX165Ma+1d7 2vndqZYXHqjNfJFuvBrTZ0SGGvHUDuJ3hxrzy47yfnaxGs9jC/4cqzb3R6D/ 9FCj/22pn/0qkthMjfa2wfxSI3+ygfs6qLHeoh7zTYX4bkW3j/3hVNZjFfrH CvDgvMqC9xx/d6iwPtRB/V2owvyvJTxeR6mw3tUQft+uKuz3qkEfMKhQ36oi TeNGD07yVmF/jXzAzvx9Jfl317lGro9iMH8qiPXBhKM/botB/C4nnG+NjMF4 KyPQH8ZgPNbXWxN/tYnBfC4lnM/djbboLa0GRB8O3RiNekUJ4f1xajTyr2LC +WlkNMZnMYF+JAr7m2LiExNsJb0UhflfTF5M0djo5//3GfqNKIy3YnLT19hh jCwK7VNMfuX9cCTqAcXk4BbnmtNjIzHfSkhB8NSc470jsb6UEHurti/tm0Vi PSklkeouC/0bRlr4A/DNCMSLUsL7ge0RuF4ZaWTq35MjLPbj610MRzyoILwf KQ/DemOE+/wdhv2tkfQ8O2xA0Yowi786StuLlv8Yhv4xEt5PKsKwXzOS/oPn ZXS/Ze6n6/mco+/MSVND8b6VhPdf/qFon0oC/VaIWV/A9UOwPpURhx49JWdf BFvuX/5gfTP37sHI54rIOFO/cDkI+68vZKKJ/3sHMU5HKnJI08VLEj/fDcT6 +poEHzufsuFgIMbLCzKHzIhnCwKRzz2B86UGop76gPB+tVkg4s9tiJ9GgYjf VwjvJ4oCsJ86QaauHfjmp9sB6J9xwoI/lg0dvzsA4+uUwO0/PQDj4ZoA9wnA /bOEj3vebwuOCsB6/UjgeoNdANbX5wLv/1/6Ix6/gf7ohD/24++EM2mGuXcW +SN/zBW4Pfr5Iz/LE1QL+596FOeP8fBJ4P5y9Ef7fxV4//jGD+1dKFz0zrre 87Qf+rdI4PG9xM+cL/D7/n7IT0rh91o/zP8yXN/PrMfh+r6IPxW4vi/qLUZc 3xftUwX61gBfzN9qAfLdF+OpRvDvc8Q9V+qL+l6t8OROv7nPrvvg/b8LI3JT n3+Y4IN6nRXT9PX7zTrAB/mGFcveZVPa4L434qk1u9Z261ndbG+c31izfd/i p/dUe2N9tGasZOXSeTlNEK9sWHCf8qJPN72wP7Rl44ZWeo0f4In727NLmZL/ HVJ6WPQp19khVes/NML4ErGhK7sdjnvSEPcTsT3XTgyd8c4d7S1im64sfDPM wR3tK2LSiMZ337dpgPawZzlZix2/bVMiH7Rnp4oG241xVGL9tGMz1h7MGLjI DeulLUs51SfqVmM33N+WbdhgdXNFhgLjz4YNkAnDD/yiQL5iw862nqD2DVXg PMiadUqff+ptsRz9acWSFj90L7olx3ixYr1Sd8paHpWjXlInrE0q3vLvn3Lk /7XCs4rcTcf/kCP+VAuh86dLrm2UI/+pEjosrUsT75ZjP1opTBsesHvROTn2 1xUC2EuO9btMIP1+sGpUI8f8LxXM50V8FT5P3Tv4x58UZj1X4P5Yp8B8/iao 1JtTQx8pgB/mfhHM9gH++kng/h7khvfPE3g8HHfD870XjPt62aTYKi35t+Wr rJz2UmL/+VZYzvr26nJMifXqpQD+bID3fyqUdWn3eNWQBlg/HgldsqW3z11u gOe5J3D/+rhjfN4RJl4QtQuc4Y787gbc76U74tkVsFd8Q8S7S0JJ8NVLZ9Y3 RH54TgD/NUQ+cVo41LLNQYdOjRDPTggPJnXuEXygEe5/TPDodXvEo8LGGL/H BbuZNeNnLffEenhJOOBxea3Kqgn2c38LRdWJ+1+39sZ+5LbQ2vGXPtPOeKO/ 7uL9vPH5LCFjfFVr4yQf5KMPhQXkhvL6VR+Mv2dCutcXj9bPzfn8SjhsOu8/ PsiP3gr/dii9PuikD/ajOcKYxF9Fm1b7WPAv1+jqlznGB/XtD8Jq95HzbTv6 YH3IE654N9z5s8YH61++5bzw+SviSROsp0V4Hi/WkA/4SoRokdsPney90J5l AseTLp7meYqQF7hRv+OiB8ZPBazXysM8TxHCj9n5pOU1NvMfzJfGyLcqBY4H qY3N8w6hYtr9z7/ENcb7GvG+jcx6CcZ/Q6zftcKsS+r7CU/dcX1rBvHaEO9v DfnbriH22zYs8uVS7aT0hqgn2eL3jRiHtzRbtnhEx4htisZYn20Zjy93D7SH LXvhP/rYksGeuJ8ti3+VfmHZSi+L3srxJd8L9SMbBvZogvXEmkH8NcF8t2be R59vWCDzxny2Yo92PB31fbK3Re/l+ZPrjfXmO9y3pw/mU53Q9+yxxIrbPhjf NTgP8UX7VQtcrx/oa9aHhKvbBjnm7PBFPK8QQD/3RT5cJgzKWJMnDvXDzyVQ r0f7IR4XCTu/Fe7ocsoP56EFMA+p9kN8+CRwftXSH/MlF/Txlf54v7fCtEsf y+Je+GN8PBX4vCQoAPH9jvD3rU++F8YF4H2Po14fgPXzNAE9NRDPf5dwffrH QHM+kd45BZNupQWifvqWgJ4ciP3re2KInSaLVwXheT4SrmdPCUI95AtJ6Gcb pBCCEB8LCfCTYMTTIti/tVmPLwE+uCQY47kU+PGtYLxfGYH5RQjmawXhem3r EKzXlcBf54RY5n1w3xDLPJHbuzTE0l9wfhceivhVRaxM/UP/UNQ3qsnelt+z bNeEmusP4fOyq6G4Xw1ZxNymty8Jxf6hhvB50vowxI8a4N89w3G/GuDTteGI r9WEzyOWRaA9q4APOpn5exWcf1ok5oMR+o935nmZkdT+GDl7R5JZ/zaSgSud 7kdvirLMV/n9PkVZ9Ew+j9BHI/8xAp+eFY36RxXy+WjLPJzbVxyD868aMsx1 hzKjZQzOP2oJ6O8xZj5FTo8/PqrkXAzav47w+CuMwfz/TkCPU+E80Ar633AV +tcK9SwV9lPWlM+Xe6kQL6xRLzP3gzbw+zkq1MdsoD/9Q4X1whbeT/msYhxe Peyxvzf32yLoh39WW/QDWE9teb+E9/tb1Ra9A/QbNcaHA+gPV9Wo/zhQrofe UyO+OlA+P36uxv1RX3HWID9zogX3+0ol4Rrc3wn68RQNxreUcj26jwb5rZTy fnir+XsZ6JX/0+D9ZaAX1P8e+kEZhfmzBvNRRvn83EmDfFGG/bwa/eUMess6 8/zaGfSUluZ5t5SCnq5CvHSiLwIaRCw/bdYDHEEP3WaeLzhS/r7BIhXOm9E+ 41TIpx3gfD1VuJ8D6DvNVFivJahPqBAvJbCexDwPkVDeXz2LsbzPc7v9rMGt 02JAP3wlpp7PGz7sPSAG8VNMOX77mfUCMYX+IhrxUEx5v7QlGv0lpp14fxmN /ExMw0W3xrWVRFv0ZD6PPBeF8SGi0X2fpVUPicJ6KaK8n3SOQn+JKcfLY5Go P4kpz/8fIjGe8HzZEWgfMeXz9TERON8R0zF8vhWO8SWmfL42KhzzUUKh/w3D /cXU16Q/NA9DfUpM+TxsnbnfFlOOd2/M80gRhX44BPHEnnI8WhoM7789taXm eSjEoy2FeVowxoMtNc9vgb/W56OpHuUGob5mQ83zYcBba+pxdNWFWavN81xr 2mbp6SvWw4LM/RXl+Nc0CPOjHh9MeKwIQnyzgt/X1yOs54TXz/OB2B/VkWXu /gdrVwUi3tYS8E8g9iM15N6OFauNCYHY71YTPl93CcR8qEK9JMAyLwF8C/h/ ekcA6r2VhNf/QQG4XwUB+wRg/JeDvuAcgHhajnjuj/lTBvh8xh/7hVLC+9Vl /qh/lBLgE+Z+vYTA/NcP872IwLzfD+1fRGD+6ov1qwjt44v6QBEx989wv2IC 73f4Iv8oJmb+A/YqJmZ+DfWnhPD+dKiPRS+7dSu25vJXb5y3lRKrsIKWWWO9 0d+lpOWb7JRdH5ugfcpgvd5NcL9y4jW36+wjghe+H1FB+uXou97z8EK+UEE4 /x3mifWhkgzPeHnFeY+Hpd5Df94Y9Q4jAf7YyOKvY1t6PD3/paFlHsb7r2fu lvUljx23aw41QHuUE+CnSpzPlxDlU21IWzs3rGff4PleCsz/z4T3O84KxPdP BPoXOfKxjwT0BTnqux9IWqP1Uo8Qufl9GzyPK9bTbML7v8WuuP8bAv2aq0WP Erxm3O/60AXr3RPSxbHadZHaBfPhPnlXMbnzxZUynJ/fJM0XJrT68NkZ179I NrvXJrq0ccb1dpKKPYLasFuKes9ewfvpjVfd6pwwXpnQQnJv8a+9nBCPbgk7 NqyZufmUo3n+LGRmbo44I3PE3z8TCow7nz4c7oD90CuhQcShuYVXJMhHsoWm fU/GODeRIB6+FzZ+/l+Q7jcx6pMfhLKpBs/+j0X4fL4A9xNhvfgiHNl0UXR8 uT3+vkCA+9nheQqFexPPzPdsZ4d4UiysZwWynw/amvmmsGbE2+yDUlvzPFVY oXxwqnKMDeZTmcC4fa0t76MUBoYXHNZbY72pFJblt9vqs93KokeFHh3ZcY3E yvK+S+GO5av8P9QJqG8L6/JS5vmerxWA/9QIkr05WzttrBEg/2uFL76VP2z4 rVowv1/Tue/TPwPl5QKsZ83mZaz+oHIrEgCfbVmjyR27Tfn+UYB+2I41utt3 dnjaWwH6aXt2783Y8q4uDwSIV3sGA4rjAuCxiLFuWX0S+zIC/hYx2ml09Mlf HxLITxF7O+zXeZe3viJgfxFbFTjpjn5CDgE+Wv/ZWHC63+48AnqM+fvPxPx+ 08Y9Tq5X3xQQ6A/sWc1f4StS7YsI8E17Nq9oyYTY0FIC+GDHAvVJw9S1lQTy 25apZLlPx4hrCOh/1uxZOGl68EM97+T13Ip9tM45nFdYR0CPqhMWpe27u2HQ dwL3qxEGuK8uzRz5neB8X5jikWdT3uQ7gX6sQuilHDr6xJo6gvMBYWPZ29kD XtTi5xJhVcnpqrbWtQTqX5Gw8VbvkQudagjw/0IB7lNNoB/9IhzbFTroZYER 7Zcv1Lw4vjvxUSWB/v6DMHFTF2HE8QoCcmyOMGvLtFazl5QT4LPZwjJ+/jIC fPeVYNe39cfrtJQAX32O5y8hoB88Foan9S8Z/vtnAvF8RphStnGfujib4Pt+ pHDkjTUFnR8SwJdrhI4Y1vPCmFME3je+TSh/4fCCAP3dPfJWOyPA/sh9Afrf B2RW5yNW4SdfCMCnHhHXH24026bKFkBPekrazKwa92BQfd7i+4izYq/mrbL9 LIB+kUM2pm6Xbpj3Edf/Qs5esGsz6VEufv+NSLYfzEkoyxZA7ysiq6b339r4 p+cC9H/F5O3WmKnNll8XgM+UENbbxVuy9yIx18dx3Quulte8Ieb3ISDe3mE8 lhKwRy4BvlRC9ofeeTE4KB/jt4Q8U02puLT4CwH8KCZ2C7PqtrkUEsDrYuI1 IK28pLgI7VtEwL8lBPq9QnKty7gWPWzLCfDdAnItOD9qelwlAT73mRz2X+vT eU4VAXz7SPbfmVec9r6GgF7/nlT29hp4bNh3AnrKW/I+1OB/yNqaAr49I5I+ NOvGTzYU6v1dMo7tjYu+YkvN/lX2Hdn9dZw9Bfy4KFzLevjh9nERNetjP2QE bfukq+9juAHfCPC8AwU8+SDEZffYt/5HJwr184sw+NLvRxrmS3H9IiHT2Kd2 9ywZBX5ZJqz3SAtuLHWlcJ9KIXrxXweeP3GlgH/VwqpN4pzl2+QU7FEn7PTK PBIzREFh3mHF2uW45Z4NdqPQL1kz/n2uGwX50ob1SeywaXaakgJe2LL9aT8X ZXRpQIG/2rGm6QNb36xrQCH+7WG9ve4U56vsbNn6PXPbNKSQjyK26OunRWHv G1Koj2L25xbNiN1TGlGYR4pZZL/QtVaSxhT8L2ZWT+UZ6lWNKfB/Ces8+EBo CzcPCngqYV6ib6/1qz0o9E/1dWy5/VmRgyfeT8IeGL+cPDbVk0J8SVjxgf5e yR89KeC9hK0YM+vOqc5eFOqBhLFJkfmy014U8l/CRq1d0KGdsgn6X8JKH33Q eJ7xppAPYrbruk3fuXa+FPRaEfMVGTKarfCloH+JWLzjiswRVn4U+Jo9yw3+ GLm3vx+FfLVnXsfCli895kchv+2Y0s45NqTMD+9nx1Y2Oj9VovKnZn3uSvuC I4mD/Cnkly3L6zI2ZWaBP9rfhv079faDpMEB1Dz/eGLUrkw/E0Ch3lixmu/p gVU2gRhPVoz5DtuQ2i2Qmucnr/d0zfc4GUihXlszj/k7J53wC6KAtzZs/KUe JGx7EAX+ZseaLw2QlkcG4+/tmXvMurZW14Lx/mJ4fmAIBX4nYd3iR34dZx1K QZ91rId8R8n2raEU37dhbVJvTIvVh+H5nNisz5JXjTLDKPBtKcu8M7foeqdw vJ8U7J0VTkHflLJFG4L001MiKNQjKZuY/6q7zV8RFPJZypZcOdyhhyKSAn+T wvlHRVLAPym7vqPmxVcWSfF9DrZmzM19Gc5RFPozKdorioL+KWXD805kff4j igI/lbJGfTwHPH8QhfeTsuRsdfx+x2jMVylblZK8Ort5NIX6h+cb+9/30l6F z67Ex2B+SFk/V5d+R2/HoL/rPw+J1PbyVGE8SNmoNa8ftE5RYf47s7qZPymm D1RhvDuzxwF3Oi2cosJ4dWYDVp1sr16iQn86s9k0+NSVDSqMX2fWdZD10aSd Kgp8WcaGytuuvPBERVGvYKs39h++tEBFQR+VseFN7+35w16N+e7Cpqxz6NPP S43558K0DmnjUzVqjG8XlqLr5Np1s5py/varK+xfgZ+LXFn+fTe1TQcN4E03 OXOcs2DT2s0a9K+cXbu9ZsulbA3E1z9ytrfVvraigFjYr0DOEpdo0r/2i0X7 KpgieldJxR+x6A8FO3tzmHJ/5n+fM0oLwmdXxEL+WCtYo78M+rn+cZTz4Uo5 2KtdHIV+Qs68VVlTZWPjKKeDH+Ss24pF1zxWx1Hurtdydr288YkNx+LQvnJm Z13UXZIVh3gqZy0HPgmOyI+jMI6Ww342Wgp6kZzJnq273tKgxXyRs86GqRuG r9VivZCzS+1qe8Y+1lLgZ3K0v47CfFDONrWYduVbmI5Cf6FgL3cPXKtoqUO8 UbD0rW9rs3rrAI+bKtjDyhbxR3/RUc4X2qG9/qfDeqRgmX47Msdt02G+KSDe ruoovL+lYAsvn6/o8F5Hof4r2JuqseyajR7wtVjBjhZf3TXCWw/43sAN76en vFzr3Nh4t4nuDzvp0d9u7P7di/6PN+sBX864sQ7OJbNWvtdjPCohnhsZwJ6d layPiX40M1D8/73wfS8D/H6dkvVN2OM9c5QBz6uE/PndgHisZHNHHrm1ZYGB QrlWsue/vZgW/8QA+VOqRP/EU873HBqwlaOfdTnhE085/5Y3AP/ExuP5GrBx H798N9L/Pu8o3OjVbX48hfGZkvU45/KyZGY84puShYnHf27fOx7yf46SzWyw LS2/TTzU/9FKsEdCPAX+omS5v9vbdY7B9Toowf9B8ZT3R8lK5vFC6NC3yEA5 v7NVsrVXP8wY/MqA+erGjjVpn5Fy1wB85KEby+k84+skZoDnr7jB/dMNgD+n 3djTjj8OHbDQgPXSDePfAPHY0Q3s+ZMB8lvlxrJ26qQ17Q0U+K0b2IsYKIdL e1xfZ6CgJyqYl33rwVorAwX+pWBF01VLh37E+BmvYPPXx2VPfKynoIcp2AWf SUl9rmN86BVgnww9Bf1DwbKDKp6kHdcD3rsp2J3Jf5X5T8d4S5czZe9wx/uD 9RT+v7Ecft9Fj/Uf8zFZj/eTA/7p9Fh/5GC/KD3l+kqYHOKtUof57Qr3eauD 7w8gnt3VUV5Olrky35+6r867qEN8dmVjLg7J9z2hAzwf5MoiNEbroEU6yuEm xJVJen6fkzFSh/50hfzvbt7PhcW+btB3cQr+fp8La/9u5Ih0rQ7rhQs7NaF3 Xlm4eT8XNv1Tw4WuVVrkUy7gnzdaxF8Z/P6WFvmeDPA3Q4v1XcaanT535/oR LYX5jYwZwzrk3tqlxf1l7I+C0X80G6XF+ipjr/75eODzj1qsBzKIN6ql+D4m 2F+tpaAfYz0J0iKfk7ENjcsOuVfHUZjXyFje3mUeYa/jMB9kLG3zkm87biD+ 9pPB/U/HWZ7n3++Ls6xP3tKcbX/GYb2Xsd+FVeP0I+Ms5+P43TkO40/GPtds bv0yMY6CHipjSU6ZxikRWB+myNjE5tWRh73/+6w+uaLlMeV/nzk+vYpF+8tY zCJxzNO/Yyno3TK2+EuyLORkrMUeHO92x1ruk3o+IdVxUyzyURlztfV65T0s Fus91uOOsYj3MhZ4fNClTYnm+idj/gv+3cciYyn0W86AT76xFPRGZ3b4RtPl q79pID/nO8N+zzWI/85oXw2FftAZ4idDg3wHn/9Lg/mMfGSuxsKvOF6N1WA/ IoV466/B/kmK8aFBfurEvob49zsVrsH7OgE/aGjez4lJjzgfG+WgwfrqCPFQ p0Z+4wi/f6qGfJM64vnVFPREB4in82oKeocD4oUa7e8Av1+oxniWAJ+Zprb0 Czy+uqsxH8TID9SYb2LIxwA12lcE9baxmf+IoD7nq6hZ//k/VKowLg== "]]}}, {RGBColor[0.87, 0.94, 1], PolygonBox[{{12.034370614359172`, -2.415}, { 12.201370614359172`, -2.452}, {12.350370614359173`, -2.469}, { 12.482370614359173`, -2.471}, {12.598370614359172`, -2.46}, { 12.698370614359172`, -2.44}, {12.784370614359172`, -2.411}, { 12.993370614359172`, -2.265}, {13.052370614359173`, -2.111}, { 13.050370614359172`, -2.072}, {13.039370614359173`, -2.027}, { 13.014370614359173`, -1.976}, {12.969370614359173`, -1.918}, { 12.899370614359173`, -1.859}, {12.795370614359172`, -1.801}, { 12.651370614359173`, -1.745}, {12.491370614359173`, -1.7}, { 12.445370614359172`, -1.688}, {12.386370614359173`, -1.673}, { 12.311370614359172`, -1.655}, {12.216370614359173`, -1.631}, { 12.094370614359173`, -1.598}, {11.941370614359172`, -1.551}, { 11.781370614359172`, -1.493}, {11.737370614359172`, -1.475}, { 11.680370614359173`, -1.451}, {11.608370614359172`, -1.419}, { 11.518370614359172`, -1.375}, {11.406370614359172`, -1.315}, { 11.267370614359173`, -1.233}, {11.125370614359172`, -1.14}, { 11.086370614359172`, -1.113}, {11.037370614359173`, -1.078}, { 10.975370614359173`, -1.033}, {10.899370614359173`, -0.974}, { 10.805370614359173`, -0.899}, {10.691370614359172`, -0.802}, { 10.567370614359172`, -0.692}, {10.534370614359172`, -0.661}, { 10.492370614359173`, -0.622}, {10.440370614359173`, -0.573}, { 10.376370614359173`, -0.511}, {10.298370614359172`, -0.433}, { 10.142370614359173`, -0.272}, {10.116370614359173`, -0.244}, { 10.083370614359172`, -0.21}, {10.043370614359173`, -0.167}, { 9.993370614359172, -0.113}, {9.932370614359172, -0.046}, { 9.858370614359172, 0.035}, {9.824370614359172, 0.073}, { 9.820370614359172, 0.076}, {9.743370614359172, 0.162}, { 9.689370614359174, 0.222}, {9.647370614359172, 0.268}, { 9.616370614359173, 0.303}, {9.490370614359172, 0.438}, { 9.446370614359171, 0.484}, {9.413370614359172, 0.519}, { 9.292370614359172, 0.641}, {9.248370614359173, 0.684}, { 9.212370614359173, 0.718}, {9.184370614359173, 0.745}, { 9.051370614359172, 0.867}, {9.011370614359173, 0.902}, { 8.980370614359172, 0.93}, {8.846370614359172, 1.044}, { 8.801370614359172, 1.081}, {8.765370614359172, 1.111}, { 8.632370614359171, 1.218}, {8.581370614359173, 1.258}, { 8.540370614359173, 1.289}, {8.508370614359173, 1.314}, { 8.355370614359172, 1.428}, {8.310370614359172, 1.46}, { 8.275370614359172, 1.485}, {8.130370614359173, 1.585}, { 8.083370614359172, 1.616}, {8.046370614359173, 1.64}, { 7.898370614359172, 1.732}, {7.854370614359173, 1.757}, { 7.701370614359172, 1.841}, {7.658370614359172, 1.863}, { 7.499370614359172, 1.937}, {7.221370614359173, 2.032}, { 6.954370614359172, 2.068}, {6.7553706143591725`, 2.072}, { 6.491370614359172, 2.095}, {6.113370614359172, 2.122}, { 5.910370614359173, 2.122}, {5.821370614359172, 2.12}, { 5.732370614359173, 2.115}, {5.642370614359172, 2.108}, { 5.552370614359172, 2.101}, {5.463370614359173, 2.091}, { 5.374370614359172, 2.081}, {5.053370614359173, 2.04}, { 4.663370614359173, 1.995}, {4.336370614359172, 1.982}, { 4.069370614359173, 1.998}, {3.855370614359172, 2.034}, { 3.6863706143591717`, 2.078}, {3.5533706143591726`, 2.122}, { 3.4493706143591716`, 2.163}, {3.368370614359172, 2.198}, { 3.3053706143591732`, 2.227}, {3.257370614359173, 2.252}, { 3.2203706143591724`, 2.271}, {2.868370614359172, 2.489}, { 2.6523706143591728`, 2.665}, {2.5613706143591717`, 2.778}, { 2.567370614359172, 2.836}, {2.6383706143591716`, 2.854}, { 2.748370614359173, 2.848}, {2.8753706143591717`, 2.832}, { 3.004370614359173, 2.813}, {3.126370614359173, 2.795}, { 3.2363706143591724`, 2.781}, {3.3323706143591725`, 2.771}, { 3.413370614359172, 2.764}, {3.4813706143591716`, 2.759}, { 3.2203706143591724`, 2.771}, {2.9363706143591717`, 2.803}, { 2.7613706143591727`, 2.815}, {2.6753706143591724`, 2.796}, { 2.7423706143591726`, 2.642}, {2.8543706143591727`, 2.545}, { 3.0003706143591717`, 2.44}, {3.237370614359172, 2.3}, { 3.273370614359173, 2.281}, {3.3193706143591726`, 2.258}, { 3.3803706143591725`, 2.229}, {3.4573706143591725`, 2.196}, { 3.557370614359172, 2.157}, {3.684370614359173, 2.116}, { 3.8453706143591724`, 2.074}, {4.045370614359172, 2.041}, { 4.289370614359173, 2.024}, {4.578370614359172, 2.034}, { 4.907370614359173, 2.072}, {5.256370614359173, 2.127}, { 5.588370614359173, 2.182}, {5.920370614359173, 2.244}, { 5.952370614359173, 2.252}, {5.990370614359173, 2.262}, { 6.034370614359172, 2.276}, {6.085370614359173, 2.293}, { 6.1463706143591725`, 2.315}, {6.224370614359173, 2.341}, { 6.337370614359172, 2.369}, {6.548370614359173, 2.389}, { 6.600370614359172, 2.389}, {6.672370614359172, 2.385}, { 6.7713706143591725`, 2.374}, {6.911370614359172, 2.349}, { 7.109370614359173, 2.297}, {7.392370614359172, 2.193}, { 7.544370614359172, 2.125}, {7.588370614359173, 2.104}, { 7.645370614359172, 2.076}, {7.720370614359172, 2.037}, { 7.817370614359173, 1.984}, {7.944370614359173, 1.912}, { 8.109370614359172, 1.813}, {8.325370614359173, 1.677}, { 8.604370614359173, 1.496}, {8.953370614359173, 1.273}, { 8.988370614359173, 1.252}, {9.032370614359174, 1.226}, { 9.089370614359172, 1.192}, {9.162370614359173, 1.15}, { 9.254370614359173, 1.099}, {9.373370614359173, 1.039}, { 9.523370614359173, 0.97}, {9.714370614359172, 0.899}, { 9.958370614359172, 0.839}, {10.273370614359173`, 0.821}, { 10.549370614359173`, 0.862}, {10.566370614359172`, 0.865}, { 10.595370614359172`, 0.872}, {10.881370614359172`, 0.965}, { 11.274370614359173`, 1.129}, {11.647370614359172`, 1.284}, { 11.999370614359172`, 1.398}, {12.324370614359172`, 1.463}, { 12.615370614359172`, 1.48}, {12.869370614359173`, 1.461}, { 13.085370614359173`, 1.42}, {13.265370614359172`, 1.368}, { 13.413370614359172`, 1.314}, {13.531370614359172`, 1.263}, { 13.627370614359172`, 1.217}, {13.704370614359172`, 1.177}, { 13.764370614359173`, 1.144}, {13.812370614359173`, 1.117}, { 13.849370614359172`, 1.095}, {14.068370614359173`, 0.954}, { 14.322370614359173`, 0.767}, {14.575370614359173`, 0.56}, { 14.825370614359173`, 0.336}, {15.070370614359172`, 0.102}, { 15.307370614359172`, -0.136}, {15.536370614359173`, -0.372}, { 15.757370614359171`, -0.602}, {15.967370614359172`, -0.822}, { 16.166370614359174`, -1.03}, {16.354370614359173`, -1.223}, { 16.532370614359174`, -1.401}, {16.69837061435917, -1.564}, { 16.854370614359173`, -1.711}, {17.000370614359174`, -1.844}, { 17.136370614359173`, -1.962}, {17.26337061435917, -2.069}, { 17.38237061435917, -2.163}, {17.493370614359172`, -2.247}, { 17.596370614359174`, -2.322}, {17.692370614359174`, -2.388}, { 17.781370614359172`, -2.447}, {17.865370614359172`, -2.499}, { 18.13537061435917, -2.648}, {18.409370614359172`, -2.769}, { 18.607370614359173`, -2.837}, {18.752370614359172`, -2.876}, { 18.85937061435917, -2.9}, {18.94037061435917, -2.914}, { 19.000370614359174`, -2.923}, {19.047370614359174`, -2.929}, { 19.249370614359172`, -2.943}, {19.377370614359172`, -2.944}, { 19.493370614359172`, -2.939}, {19.59737061435917, -2.931}, { 19.806370614359174`, -2.901}, {20.125370614359174`, -2.825}, { 20.33237061435917, -2.758}, {20.471370614359174`, -2.704}, { 20.569370614359173`, -2.662}, {20.64037061435917, -2.63}, { 20.691370614359172`, -2.606}, {20.730370614359174`, -2.587}, { 20.97237061435917, -2.451}, {21.093370614359173`, -2.368}, { 21.173370614359172`, -2.306}, {21.22837061435917, -2.259}, { 21.26637061435917, -2.223}, {21.39637061435917, -2.069}, { 21.44237061435917, -1.992}, {21.471370614359174`, -1.933}, { 21.488370614359173`, -1.887}, {21.52437061435917, -1.727}, { 21.529370614359173`, -1.647}, {21.528370614359172`, -1.586}, { 21.52437061435917, -1.538}, {21.495370614359175`, -1.372}, { 21.474370614359174`, -1.296}, {21.456370614359173`, -1.238}, { 21.440370614359175`, -1.194}, {21.376370614359175`, -1.042}, { 21.34437061435917, -0.974}, {21.318370614359175`, -0.922}, { 21.296370614359173`, -0.883}, {21.205370614359172`, -0.729}, { 21.172370614359174`, -0.676}, {21.145370614359173`, -0.636}, { 21.037370614359173`, -0.486}, {21.00337061435917, -0.442}, { 20.977370614359174`, -0.409}, {20.860370614359173`, -0.274}, { 20.830370614359172`, -0.242}, {20.70437061435917, -0.117}, { 20.571370614359175`, 0}, {20.437370614359175`, 0.106}, { 20.194370614359173`, 0.286}, {20.057370614359172`, 0.395}, { 19.930370614359173`, 0.505}, {19.849370614359174`, 0.798}, { 19.897370614359172`, 0.801}, {19.94637061435917, 0.798}, { 19.991370614359173`, 0.79}, {20.032370614359174`, 0.781}, { 20.066370614359172`, 0.772}, {20.26637061435917, 0.695}, { 20.412370614359173`, 0.62}, {20.547370614359174`, 0.539}, { 20.66737061435917, 0.459}, {20.770370614359173`, 0.385}, { 20.85637061435917, 0.319}, {20.82037061435917, 0.321}, { 20.752370614359172`, 0.37}, {20.674370614359173`, 0.423}, { 20.586370614359172`, 0.478}, {20.492370614359174`, 0.531}, { 20.313370614359172`, 0.603}, {20.290370614359173`, 0.607}, { 20.285370614359174`, 0.558}, {20.511370614359173`, 0.376}, { 20.54537061435917, 0.349}, {20.680370614359173`, 0.243}, { 20.71637061435917, 0.212}, {20.85337061435917, 0.094}, { 20.886370614359173`, 0.064}, {20.926370614359172`, 0.026}, { 21.044370614359174`, -0.09}, {21.07437061435917, -0.122}, { 21.111370614359174`, -0.162}, {21.224370614359174`, -0.291}, { 21.252370614359172`, -0.327}, {21.358370614359174`, -0.47}, { 21.380370614359173`, -0.503}, {21.407370614359174`, -0.546}, { 21.496370614359172`, -0.696}, {21.517370614359173`, -0.736}, { 21.54537061435917, -0.79}, {21.62537061435917, -0.954}, { 21.644370614359172`, -0.998}, {21.669370614359174`, -1.056}, { 21.700370614359173`, -1.135}, {21.754370614359175`, -1.292}, { 21.76837061435917, -1.339}, {21.784370614359172`, -1.402}, { 21.801370614359172`, -1.485}, {21.818370614359175`, -1.693}, { 21.81737061435917, -1.734}, {21.812370614359175`, -1.786}, { 21.799370614359173`, -1.855}, {21.77137061435917, -1.945}, { 21.711370614359172`, -2.064}, {21.601370614359173`, -2.204}, { 21.559370614359175`, -2.245}, {21.496370614359172`, -2.3}, { 21.39937061435917, -2.372}, {21.241370614359173`, -2.472}, { 20.96637061435917, -2.614}, {20.76837061435917, -2.7}, { 20.56737061435917, -2.778}, {20.52737061435917, -2.792}, { 20.473370614359172`, -2.811}, {20.39937061435917, -2.835}, { 20.300370614359174`, -2.865}, {20.16137061435917, -2.903}, { 19.96337061435917, -2.948}, {19.672370614359174`, -2.991}, { 19.364370614359174`, -3.006}, {19.264370614359173`, -3.003}, { 19.15537061435917, -2.995}, {19.034370614359172`, -2.982}, { 18.90237061435917, -2.96}, {18.756370614359174`, -2.928}, { 18.595370614359172`, -2.882}, {18.418370614359173`, -2.819}, { 18.221370614359174`, -2.734}, {18.005370614359173`, -2.622}, { 17.76637061435917, -2.477}, {17.503370614359174`, -2.294}, { 17.21637061435917, -2.068}, {16.904370614359173`, -1.795}, { 16.75137061435917, -1.651}, {16.684370614359175`, -1.587}, { 16.616370614359173`, -1.521}, {16.548370614359172`, -1.454}, { 16.47837061435917, -1.385}, {16.40837061435917, -1.314}, { 16.336370614359172`, -1.242}, {16.26537061435917, -1.169}, { 16.192370614359174`, -1.094}, {16.119370614359173`, -1.018}, { 16.046370614359173`, -0.942}, {15.971370614359172`, -0.864}, { 15.896370614359173`, -0.786}, {15.821370614359171`, -0.707}, { 15.745370614359173`, -0.628}, {15.669370614359172`, -0.548}, { 15.593370614359173`, -0.469}, {15.516370614359172`, -0.389}, { 15.440370614359173`, -0.31}, {15.363370614359173`, -0.232}, { 15.286370614359173`, -0.154}, {15.209370614359173`, -0.076}, { 15.132370614359171`, 0}, {15.055370614359173`, 0.075}, { 14.978370614359171`, 0.149}, {14.902370614359173`, 0.221}, { 14.826370614359172`, 0.292}, {14.750370614359174`, 0.361}, { 14.674370614359173`, 0.428}, {14.599370614359172`, 0.493}, { 14.468370614359172`, 0.603}, {14.431370614359173`, 0.633}, { 14.385370614359172`, 0.67}, {14.326370614359172`, 0.716}, { 14.251370614359173`, 0.772}, {14.158370614359173`, 0.84}, { 14.041370614359172`, 0.919}, {13.897370614359172`, 1.01}, { 13.722370614359173`, 1.108}, {13.513370614359172`, 1.207}, { 13.269370614359172`, 1.295}, {12.991370614359173`, 1.357}, { 12.689370614359172`, 1.378}, {12.372370614359172`, 1.344}, { 12.059370614359173`, 1.253}, {11.768370614359172`, 1.113}, { 11.521370614359173`, 0.939}, {11.341370614359173`, 0.742}, { 11.337370614359173`, 0.735}, {11.299370614359173`, 0.663}, { 11.277370614359173`, 0.531}, {11.300370614359172`, 0.441}, { 11.341370614359173`, 0.376}, {11.385370614359172`, 0.33}, { 11.427370614359173`, 0.297}, {11.463370614359173`, 0.273}, { 11.619370614359173`, 0.201}, {11.776370614359173`, 0.16}, { 11.919370614359172`, 0.137}, {12.043370614359173`, 0.124}, { 12.149370614359173`, 0.116}, {12.237370614359172`, 0.11}, { 12.310370614359172`, 0.105}, {12.369370614359173`, 0.101}, { 12.416370614359172`, 0.097}, {12.454370614359172`, 0.094}, { 12.808370614359173`, 0.044}, {13.106370614359172`, -0.04}, { 13.369370614359173`, -0.157}, {13.593370614359172`, -0.295}, { 13.777370614359173`, -0.438}, {13.923370614359172`, -0.575}, { 14.036370614359173`, -0.697}, {14.123370614359173`, -0.804}, { 14.188370614359172`, -0.893}, {14.237370614359172`, -0.967}, { 14.274370614359173`, -1.026}, {14.301370614359172`, -1.074}, { 14.322370614359173`, -1.113}, {14.410370614359172`, -1.307}, { 14.459370614359173`, -1.468}, {14.485370614359173`, -1.632}, { 14.482370614359173`, -1.797}, {14.445370614359172`, -1.964}, { 14.366370614359173`, -2.132}, {14.232370614359173`, -2.302}, { 14.030370614359173`, -2.473}, {13.736370614359172`, -2.638}, { 13.441370614359172`, -2.743}, {13.348370614359172`, -2.766}, { 13.247370614359173`, -2.786}, {13.139370614359173`, -2.802}, { 13.023370614359173`, -2.813}, {13.128370614359172`, -2.797}, { 13.340370614359173`, -2.76}, {13.528370614359172`, -2.708}, { 13.693370614359173`, -2.645}, {13.839370614359172`, -2.574}, { 13.966370614359173`, -2.499}, {14.074370614359172`, -2.421}, { 14.167370614359172`, -2.34}, {14.246370614359172`, -2.258}, { 14.310370614359172`, -2.174}, {14.362370614359172`, -2.088}, { 14.401370614359173`, -2.002}, {14.429370614359172`, -1.914}, { 14.446370614359171`, -1.824}, {14.453370614359173`, -1.734}, { 14.450370614359173`, -1.643}, {14.439370614359172`, -1.55}, { 14.418370614359173`, -1.457}, {14.390370614359172`, -1.364}, { 14.353370614359171`, -1.27}, {14.310370614359172`, -1.177}, { 14.260370614359172`, -1.084}, {14.204370614359172`, -0.993}, { 14.142370614359173`, -0.903}, {14.074370614359172`, -0.816}, { 14.002370614359172`, -0.731}, {13.926370614359172`, -0.65}, { 13.846370614359172`, -0.573}, {13.763370614359172`, -0.5}, { 13.677370614359173`, -0.433}, {13.590370614359173`, -0.371}, { 13.500370614359172`, -0.314}, {13.410370614359172`, -0.264}, { 13.318370614359173`, -0.219}, {13.226370614359173`, -0.181}, { 13.135370614359172`, -0.148}, {13.043370614359173`, -0.121}, { 12.952370614359172`, -0.1}, {12.862370614359172`, -0.084}, { 12.772370614359172`, -0.073}, {12.684370614359173`, -0.066}, { 12.364370614359173`, -0.07}, {11.961370614359172`, -0.118}, { 11.599370614359172`, -0.169}, {11.279370614359173`, -0.213}, { 11.170370614359172`, -0.233}, {11.160370614359172`, -0.236}, { 10.983370614359172`, -0.302}, {10.908370614359173`, -0.376}, { 10.887370614359172`, -0.454}, {10.897370614359172`, -0.53}, { 10.924370614359173`, -0.598}, {10.957370614359172`, -0.658}, { 10.991370614359173`, -0.708}, {11.023370614359173`, -0.749}, { 11.050370614359172`, -0.782}, {11.170370614359172`, -0.907}, { 11.405370614359173`, -1.098}, {11.637370614359172`, -1.243}, { 11.844370614359173`, -1.344}, {12.020370614359173`, -1.414}, { 12.164370614359173`, -1.462}, {12.280370614359173`, -1.496}, { 12.373370614359173`, -1.522}, {12.446370614359173`, -1.542}, { 12.503370614359172`, -1.558}, {12.548370614359172`, -1.571}, { 12.707370614359172`, -1.62}, {13.060370614359172`, -1.826}, { 13.139370614359173`, -2.169}, {13.096370614359172`, -2.246}, { 13.026370614359173`, -2.322}, {12.921370614359173`, -2.393}, { 12.776370614359173`, -2.452}, {12.581370614359173`, -2.488}, { 12.327370614359172`, -2.486}, {12.001370614359173`, -2.419}}], { LineBox[CompressedData[" 1:eJxFW3dcVEcXpSy71IWlKGIDpBeB3UVAygxlMbYYozF+xhZj1Bh7jy2WGDXW 2I3GEmvUGHvUqG/s3Rg19o690qQI4sfOPW/1H3/7Y3lv5pZzz733ENSt/6df O9jZ2UVr7Oys/68+2uHeuOxMfitEO35+tkZkdCkeGdAyk9ef9Lz17noa0fPv ielePTL5on7eE8UpR9HZs2fext6ZvH3KjhPDDjiK5Nudk2YNyOR5a5YcCdzi KArDv03ZOzyT97d+faWjqP3D24o/x2XyOPkCR3regkzePfVOqxkLHUWD+Jrt fJd++P7Hf8XG5a3K5B9386p+haP4LiPHedvfH85TFblAnBeZPN31yqoB6Rp6 3/FM/m/wjfKxvfHz85l8c5N7I303a4RmY7Sm461Mbn1bP28ncf+fhEkF+er5 ncTeZZHXLpVk8pKIjrMOvXESJ0/fGHakKpOvP9Y8aWqmVoyd92lid5csfu1c aZu8NVqxe/BvhypqZvFeP78czRJ1gv806uei6CwePblG9Vd0YmmtjMl1Psri iZ33NnV3cBED54Rvbjkgi1ufHtHRVXT7eqhX5ylZvJm7Q/WvuIkp35asWTk3 iy+ttt6gXm7iwdvdS04tz+K761kv7Cbm9Q2K3b0pi8vrurqT/fdm8fAE5011 OriLro1flf9wMovrY7f9+nqdu+ibVmv8kvtZ/Pve+4bM9feg9z3J4ieHHVge EOchZtf0sdO+z+KjfK0W8hA/8v6zTmiyeQfpEA9xNujZqmF1snlZG6tHPUSt /w1+eDkomzvIC3oI988/6iwisnlW14fng294iA25+SHuPJvLj+Ue4ge/JyNe W7K5nfynF08+OX5idMtsviLAGgF6el/3bD50rr+mnV4vRn1zut603tl8Q8GF lt289KKySr+hdOCHz/LnP2Xj/nph91ndK7/Pyub/jXgaluCsF4Y/2k0btODD 8zcNHJ76cFk27K8X+09uef3Hzmz410O8WPvfm4Z/Z/ODp1ZadhV5iMPNck0p h7J5O2lA/Px0Nn/R2uoBD/H24uS59fKyeYvqaOj60EPkV+YF33uSzWvKgPAQ M19MexqT/+Gz9Ef5h88y/r1ybM9rqPv7WOsaObb3yfism2M7n/x5WI7Nfm2T Dw/qx3N48btL1TfGfSw5vMr6MUFP/mqRwwfLgNSLFtPX+rt+lsNlOLbR0/m6 5vCBMmH0wufqrZXNh+Ygv/RiW6H79wNG5XD58YRe1Gz44ty7CTm4r14M99lf cHV6DvzlKZp9Wd8hYW0Ory0T2lM42zdO0G/M4b8stv7zFP17rlg4ZGsOf1Wd HZ33epI99qjP8xTfGub0PnQ4h8t08PQivLmVg3j2oni7l8N3FVVf+BsvyrfH Obw6Oaov6EX58ToHeOIlXGMONnlcnsOt6GHZ5SWuls3w3aG1cGv2N7nnJS4M LzsfEWDhq6uj50oDA8VPfQt9v5GBvh9mofj+2EDPj7NwCU/9DOKfFgP3tkq1 UL4uMND921n4tD6PK34vMFC8fGHhn1jhxdGb7v+lhfCtprfIuTv1wJpvLLxW tfVijd7C2OlkkeMQC/+tOvretfUW62t/ozeNt3CZPmO9Kb8WWbiEw6PeYuiT xBvvf8X3L3kLpThJO3m1hfDiibfosKf9rvJNFsSLj7h8Vlt1/S8Lt2bHpjo+ 4noDv+gZRy3ceryJ3EdsXlrV+sAtC8+VBvZBfFu4hNdJPiLix9CJx55a+Nux VgDxET8tGLNvZKGFW9Hj1mofitd3FvjXh+7vlsv7Ws1xwYfyOySXL8i2WshH LDoc16F3VC6XcKTxFZ96pHWcn5BLeOPhS3jWOJfip5Yv1YfcXMS7r/Bz/Hp3 SNtcvuz1umpE9hU7686b37R3LvzlS/E9IBfx7ov6k0v49IUv4f24XC7Dq7uv 0F3eFpA4PZfyr7+vkPVvVS7hyRRf8ZUVL9fnUrzP9BVp5r7dMzfnIt58Kb92 5nJZPpb7ii3HJ/VauC8X9caX/Hskl+wtfMWXEp9zKb6v+1J9OJFL/q7yFb/9 cvHUuh25qCd+FD8/5xJ+fOVH9h2VS/gw1I/q4+Bc4LcfxUenXPjPT4x/1rVb jc9zuRX9oif7kb9bqvfzI3xO/PD5+Iq2XZ/H5RJ+/uhH8RMOf/3gR/FVB+cd 6yfqX3eO7KbP5RIuhvmJccq15ullFtt5pX8LLHy4NWA6+QEvLRQfn/qhHluo vuTgfGctZL+GfiJq66bFy3dbeKiVjrj5ibL1dmMs1fEu/fcA/lhm4YXW8nDV F/hv4R9ZzX/cl/jEdAvh41Zf4TBu9csJYy1U/+f4imejPr7zWR8L7yH/wV9t LTxSFmhfOk+shR9+YzW4D+qdhfyz04fqRbCFW9Hs/G/Il1oWbs2GptN9xKNQ vm2VXsUPH4pPO5yviQ/h6Qvgl5+PuP1dg/bsYg6X5e2KN9WLLTlU737ypt8f l4P48BZZOx3WnxmZwyUcx3oTng7OAb55g5/loP57E5/pnAN7eot2XzWb2qRV DvLTgPzL4UESYA1i8P7NR8Lq5/DK6mxued8gdljz7W02P26lQ3cNovvsyrCk 49l0v1fAR1s9NdD9N2cTvpQZxNGhZ5t6r1T5gDfhyRy1XgMfv1PrvYqP2eBr 3pRffbK5DHdfb6pP3bJt+Cr93y4b+OEN/Mjm/1jpWm3YM/7Dz2U8+X54nzzv qyxuZY/7ig1Ca8WHfVncZP233UD8dksW8t1AeLQ6i+db4WiqQUyw5tvCLFu9 2PVR7U3BU7N4XQlwsN/ILMS3AXwni/JTZ6D4+V8W+JQX5V+TLJ4jC4wX4ak5 i6+10utBXsQnA7NQv7zo+a5ZVC+feopP7u+w7CvMBN/0tPFh4tt64qunM1FP 9agPmai/esrP/ZmILz3xyW2ZNn5C9Ufl+x7i7uoN/fznqO/zgD8zwQfdKf/b Z1K9n+UOvpyJeHYX0w9qLrYxZHJp3gB3wkNNJvztTvFWym2fJT484eDPeP5V jv7Anex3nOP87qJkzHc9+uzk4EfuhK8rOZflqJ079RfTOPiRO+KPU75Mcyf7 duDoT9wJ/zI47u9O+Fmf8+9kwXUXj0Z2mtqyitl+f5xvafDjv5jt/U/WPFge 1pehfrqJwd5nlpyvx2BfV+H438EjMecyuPW3+zx2Eaebj+veZEwG+JWzSJv6 U+rz2AzYSydqTnRZu+5+OuLRSTjZNb3h9Gs68ksj7Dc03tymSzr4kYNwG3+7 3s+R6md70Snl3arRFWnAC3vxfuz2hSPPp4Gv2onrI4wOSUfTcD478fXDWlV3 d6Uhf+xF+bu6bV+vSuNjJADai5zEdfNbTU2DfexF486Ood5d0gg/ujqIU4Hl Lfvp0/hRa7vzs6Notivt2vU3qeCHjsJj09eJva+m2vrR+MlddlzakUr8aZtG /PVr8sQzU1IRP07ibvlxy6HWqeAfToLfWdTrV7dU2F8rkk2j9SlbGuP9OhEy yRx7YFRj9Dc6cfscj3varTHwTyfyW9u//emjxog3ZzHvUIamW0xj8A9nnL8x +IazmN0n/sqfr1LQfzqLL/TDZqw6k4L66Cy+2jvnsW79h8+NnN+UdhmfAj7i LPacUBav+TwF8eEstjeJahcQnQK8dKbzViQDf3Rk35PJ4Hc68bF7c+2Muclc XrePVri0+9x5d4dk3N+J4rFeMuJbQ/64k4T4cUS8JIEv2JP92yfh+++VgM2z 940zJKE/rVDo/Y3QX5Uqda7VvPi/cY2oXnQrVApHT/HqntSIW7vRY82fK5/v 7tm14FUi/HNPWdrvi87H1iVS/W7/r+Jvjd9uieCbvZS2M+429Q9M5NI8qf8w +fy7Zvj/FiuT8WZGPD5gLyoKz1ztbSZ+GvKM/dDb6ZPFiWbU91fs2x5/ZvZx NMO/+azkwoL0Gv+ZiF9bCtmFM37rL/xuQn0uYoeXf+WaN94E+xczaZ9OJvCt YnZ+5cyfyxubeAMqGEzmT20T+Hkxo/w3op8qZsZtj079kWeE/4qZ9O9pI5fh 27mY3Q9p1XHJOCP6iUL27Py3u96nGoH3+ey31/krW/sawQ+e4z5G4h/Bj9kE NjZFaI3A2/tsRK/rJybUUd9/m6048s20ERYjzneVzjPRiHy/RO+7YUR8nmNH Tz0L3OdlQn96nC3yb5ngG2XiF63uSjnCfGIrRrzJMcE/CtnrSxPmH9vZ7wN+ fHhznAn+XEQ/X2kC/1+ryN8/YuJtJUAIRT7/mQn95VmF3m/GeS4rv2RfavIy 2Qx/3FVk/nypxsNDRebrFDPi74Wiiz5fcHujGfhUqEj7HDPDniXK9BrBG96d NyP/KhTpz71m9EN2ImOH4dMjS83AI3shz/eTGfnhIN5GrOl9YpAZ8xRHYXAY 0q1OOzPqt6Mw3+p770ejGXisER9N23nIXmcmPmFyEvR+NV6cxLD0Ntt+n2FC PmjFq7CReVtTTMB7rRj0OGdS6T9G1Gct6okR+KcVfxyb5z1rmRH21QqZHxNV /zuJKO2pAU17GcHfncTIuV/e+aK5Ef2VE9WjWCPiWSP+LKgd2cvDaMNfiX8v EmzzOGmPUwngZ46ieJ1nePraBJzPQfTft79fvfEJwB974FEC8dNVdmQ/YwLy 7b0i65FLAvDonUL4FI/511tF4tv2eNTzMkXac3I8/PVGibiR1WHA/+KRX4WK vF90PPD5tfL6/I6fncrjgK9PlfPNT7KWv8RhnpSnhMT1v2FIjQPfuqaM8PYb fvlGQzzvlNJhRmRovTENwe/mKCeWb3r4pF5D8I2jrPU999N7DsYC3/5jE57u fuzTIxb5cpd13L0ltdQtFvZ+yG61LD721fYY1P+nLPBa181dOsVgXvSShXUo KXjmEsPPnrH+y2fdUnK/n7A7GvFbyLrqlV6/fxON7xexzQP+EffrRuM8b9iB E85DN16Kgr1K2M81vp3kODMK9y2l5zeNwvyzlI2du2Hvl85RqN9l9POTkfB3 GdN8Xzlo3IxIftpK79+VsVWLoz9Z0yaSS/iPLmfaDROn/q9OJOxbzn71X+Ae 8DjC9rn3w27XHm2PQL6Usz5ez14rEyKQ7+V4XgT1i7fKWLDmyZHkF+G284xM Xzrjz6hw8IkSdvlM54lXfwxD/XnDLq280ud9aSj68yL6PDwU+VrI7owYdSvN IRT2KqD3zQ0BfhSQPSNDgHcFdL5DDcBXC+GfBsjnIkbxFMwlPJwvZs27Dp/c cH4w8KeEBbQ/3ftSfDDqURl72qr+xyPPBIFPvGW7mwxOCOwVBPyrZD+y477H HIMQL1WsXVLtsm+XB6IfteOscws7/7RAzPvseWvXCq8pW+vDng58pu+FHWWv 6sH/jvxRyx/H9I+th3rgyA8Pml6lGVgX/ayGF4REvdr0Vx3EkxOfMjdtYF+H OtS/umv5mpcrNrX4tDbmwVrexPT5imbrAoDvWt63e5cWPe0DuAz3ljpea/ye Lb91rQU+p+PNp359tvKIP96n43U28eOj4vxhfx3/fNrstj7Laqrzcm6c5Kn8 411T5Tt8Tu+79zZMr2H73Mk9bNEy1xq27/+xeL926ww/9Ds63jPvpPNNXz/U Rx1f5x9xOHSlr+39jW7UfTE+3hf8XMfjO0xZX3LYB/VJx+fN71k28Qsf1Hcd b9r59q4GJd7wp4633PEi77+53uAzOr5i4ZzvfzF7gw/qeI7z+akDrxrgb/W+ XuAbWj6u+8Q9Y4d6IH+0fLR+6PQzV1xt9tt9KN1x2nBnzNd1/JPJnbe/u+OE eHbm5ti3w+vNdkL8O3NN6MdfHIl2At4488C20eNObdLAXi68TlWdNv6eGtRn Fx6yIeWP0c0ckQ8ufFH6p1svtHdQ+wu+mo1JflodV3RfV/6k329J9Za8Z2Rv V+7cbOmuKZ9XMtovuPGP2g7uUD6vjBHfdeeBZXkLHfsUM6pvHjzw48IjO13y GT3fgw9YPXvt0eGPGfFTPQ8ct2Hm80t38Dw9539O3l7w2X+M8kvPRdaKv5p0 v8Aw7+eBFQfSTLuuM8ILDx7/yx6Hzxo/ZORvN+7ld27L0tpPGPYnPD/lUoKx y3NG/YsrXzF+56Zcj9cM+xe+PiVnzKWZBYzqiwv/xG72jk7ni5hqv67tT/YK a1LCKN+cOa/qHtuktIxRvdLx2Ymv+q27WcGoPmr5+r3XRJeKKkb56sS7u9Yf uzzU3pZ/HTs7hKQ+c0B9deBLDzwu7nRUg3iz5xHR/+Tr/tJin2XHT1iqzsbs dwZ+V7E6kau/KbjlCjyoZPnDtCOb1vRA/L5lLbQn+w8a7Il8LWf1rhy/1bbK C/FZzp6M8Jj30Whv1LdyRvnsDfwvZw+C3/dYcNsb+Ymfh/uAP71lRa22an78 0Yd/Kg32lu0vKNn7ncYX8fiWSbz5wxf8poLVbGf85eTPaj5WsP6zHnXj52vQ fHxiJRuR6rh/tZs/+q9KJvGrnz/sU8m6JP2xefg1f+yzKlmgQ6vi2Ja1YK9K ttNyvavfyVrgP5X0/E8CsJ+sYOYtC/5bfy8A969gydo1Dl98Xxv92Vu2QLzS d4qqA/5XzlrdGfx2830V/8ro5xvqgp+XsDaJE8K/HFcP/UIx27PkyYzjPerD fgXsYblX0ImGgeiXXrL1r1PGfL41EP3HI7Zwod3JmY2DUN9ush0F3TX9TgXh 58cI77sEI14OKHsHvW1SXhKMee4N5diQ0H88ZzfAfPmxYrlzL3tVRAjwLF8Z sk/bLORACO77Rkm5tWvf9FahmD+VE9+5Hgo+W6lIvtApDP39eyVi0hjnI1fD UE/shTxfs3D0Fw6i1a5JO+5uCwdfdRD9UgdqFxsiEA+OQtb7nhFcltNfHQXx mwjMvx0F3ScC/nYUh+rV/K2TMRL3cRRvWjf7b/bXkbivIz3/50jUf0dx5s1e 7yWVkahvDqJzXtKn5wOiEK92IntHh9hTtaKQD3YiIeGXbhG+UbCHneje/ez8 L3RRON97ZYbo2L51fiTit0qh+hwJf75Txh1I+LfxwkjU90pF8p+WkbBXhbLt 2K2X8yoi1HhXWk6r+lX3IAJ8pELZ9+v4zheOqvd9q3wm63kE4vetIuOlXwT6 r7d0nvgI1M9yxT82p23FvXC8vwz+D8d9S5XRvRqsnvJdOPqDUkXyr47huG+p 0sT1mw6jk8LB30qUxYcm3+npEo76UELPOx8GPvhGcY+udfbBlDDw0SLl94CD c+N5GPCoUJF8LCYM9alAqeGwPz3YJwz8rkCR/i5S+VY+7BkKfviazrc0FPZ4 Qff7MhR49FRZc2Rbj7HBoaifjxSKr1CVLyuS/1SGoF7lKdPm/5c54l4I5nf3 laRtcWu3ixD0H3cpnheFYL51g+73UQjmF/+S/1JD1PmCQvwyBPvCU0qPWW03 mWuEYF50VKH4a4B6vk+RfPBWA+DtOrL3Xw0QHyuJ/69tgPjaxmR8rG5A8+Uh 25l83ugGwLsjrOpdj7g3XRsAn86wc4FZkUOaN8D9/2V03gbAq4tM9isVwdh/ 32TXg/tu+emBih+3id9eDKb595K77Grpw8Vbq/kp4e8DNut5Xr+o74MRTw/Z liXtrvzdR/39RyzVOePi152Dgd+PmcSPgGDkx3Mm49spGHj2gi3Prtug6E0Q +NZLtk7iXxDiL59+/5cg8KcCVlCRuv725CAu4f1YAfHf7CDMo4vAx1V+XEz9 jG+QbX7ieyUxvKkmCPPNN/T+nYFcjoOvlTDZny0LxDy6lA17PKPru+mBOF8p 8fss9efl6C8C0b+XM327FXn7awYi/t+yvwZ8OfzVwvqIpwoW0r5T0N3e9TF/ q2SNE2Jqmc/Vg3/fsYNNnJ5E/1YP+fKO6s/7uuB/VbZ6Q/oSO/7TgcOTc/+t jX7Zjl8NvHTne6faKp7xr2b8fSOytBbOb8d97EL61hziD3/Z8dI1SkLy6pq2 z7I+Nq2pzmv5kIfFswpf1lDnuZzqcw34z47/faz/6hWJNXBeOz6yx08Xx1z3 Ax7YcaqfftC/2PHLb1qcXNvIF/hvx1U+gXrCJB9ub4C93rNxj+vXdGniBf7+ nhH/1aOe2vG2t/rc/XOMB/xrxzc9XzynZV93232c1+Yta7XIDXzZnsdfed6s T6Er+LE991+vD+sx0BV4aQ/+64p5iAPv1TV2Y+vDLsAjB/y+Fv2DI8/psMlP n+yE+zjhPBr0Y1o+z/v0L+VTNchnLW9vGuXRrbYT6qGWp22e9ffvlU6Yt2j5 6t6aVofsdOAv1Xw/7+XQImdn6CW0/OaJA4vOObgg/rR8X/bF3BoPXICnWr5j 4a4XW9e74rxaPr3HZj7/YzfEm5Zv6RN3+eo1N8xftOD37rb+bVxK5W9r1roD H7Q8Z5Ip5rFWr86HOMWvF/C2+vlPmy2rv8IAPqLlki9WGjAv0qI/8lbnUXxj v0b5Vw54w79aHqMZOSonzMdmD9nPzfHBPlDLVb5I/a+Obw9o0yxtpMoX1X5L jScdxftwP8yzdZz4rB/sp+OSP06rgf5cxwft7ftdrfo1EQ86HjbxQdKePTVt P6fz+2NepMN5amE+pOMrrf3cjlrYJ+l4xuTGuY++DUC90nLii7VRb7TUTxfU Bt904sO8Rq89va8O8MqJnzjxS/RfM+tinqfhxBfrod925H7RGyfmZ9XHZwdO 9S4Q9cue03xE7fft+A++vOpFcSDqdxWL2qKp/2vPIPCZCib5z7UgzNPKad7Q Ihh8qZQ5tB3acd2BYPC7N5hPqPWryFafKL8Kmayf/iHgYwXs3iqHYr+f1XpZ wCS/9AyFPwoY8aVQ2KcQfDgM9aKI5kM3wxA/b9j8Pt9t27kxHHynlEk+dz0c 85dSqn9uEcDHMib5bUYE8LGM5kmDI5BvZXheBPCujOrvow/zJVPHoO/sG0Ta PouiWdN++CrS9n3JX9dFYt5Yxk6dMlUefBmJeCxjxKeibPWjodanRatJUcDz Eib5wuUo5FcJ6kk05nfFmHdFg48XUX26HY37F7DHIYuSVqbHIJ9fs7xzU11f L4/B/PsZvc8pFv59yNJNR59m9I0FPtwh+1+JBf5dQH1rCPvsYnaRryzn/mxo m7dL/lI3Dv3TZSVz6sUaBT/FAY/vKzRPiwNfeqqss7w/52iMx/fzFc8rL5pn 94yHP4sUuf9YEo/8L1Fofxmv1lPlxJuBSfPfx6v9nPKg1eVBQ+ISwFffK3MW /vVySqcE5JudkPuYqQmwn724uWqPv9cOdf7sQPP5mwnAJ0eh7kOoX9bQ/i7C iP5DQ/vA5kbEL+bdfY3Y5zqJ4A5/1Hg43Qi8cqL928YP8/XLwSH//XDcqOIj 7QvvG237RblvqTTa9KFyv+Rnwnm1IjAuzM59rAn+1gp5/39M4N9aIfdjejPy x0nI/Qk3Y1+P+/Qyg485Crk/m2y27e/WW7+/Qt1nOIhvUiOi5+4w2/a7ch9w 2Iz6YC/kvu2+Gf57p7S4d/j19gdm23xd7kvPm9HPFtH+b6sZ9fmVIvefM83A j8dK2Ja/sxf2Vvcn9yg+mphx/6tKw45Xf60IVfc355W/i3K3jNWaEV8Haf7/ VN2vrVbkPvWcCfm1msn9yi4T5h/72MzM38Xl5Sb47yiT+9+BJsTbv0yeJ8oE PnbDto8jvn2X0b7cCL5/n7Xp9j8T+1f15wMm9xnHjHjeQ7a/3rljn+9U9ynP mPTnASP0My9ZbteGmyKuqr+fz+R9nUxqv8TkPriFSd2PMhnP80zoZwrovBtM NjyQ5ztkQv9dQPu8m+o+LZ/JfXGpCfj6msn9uK/q31fMr/2EWedMqr1f0P6w rervp0zu74eZgReP2IKXRwNSl5hRT/JYZZuY8SsPmoHHdxj5x4z3XWFyH+OT CDw7y+ys+gKWiP3lNrpvn0Tg527gQyL6vX9pP3c6Ef3HLeWMVd/wTn3eQ0Xu u+IacZmud54rqwNG7I76qhH2UQXKssX3hyxf0Aj2KKb4O9UI+VGqSP9UNUL8 vFU+tfo3IQn4XKUoTT+7Fd89CfzCjvQH85NwP3tB+8Ik3MdBXG258XmnkiSb nkLmS0gy+KlGyPxonQx7OhE+jU5GP6zFfiwZ/tSRfuBcMvBCR/qG4mTUJ2ch 91m1UhAvzvS8tBTsz5xpn985BXjrTPu/sSng187Y56fgeS4iyzXw+2F7U4AX LnSfyyngky60j8xPwTzCRUh7uja2/b7Eu+DG6nxZyPga3FidR4t6muVPjf80 Rr/qTPvLWqm2+5G+IdWml5f+n5aK/NKS3mB3KvibVgyx6mFup6L/1gq5H7dL U/k49AxpKh8Wl0qXHtiYnKbyXeBjmg3P5T72QhrqH36uSwf/0oqNSzwqd8al g88Bjz9OB3/SCap36ejPdWTPkenqPoH0NFPTgSc6IfUH89ORj86k71mWDv7l TPUqLx1834Xu76/qeVzFUOs+uGUGzu9K9p+QgX7ZTUi82Z2B+HInvcmLDNjX Q3wm9RMM9/EQsn5/ysAf9KJ10oU6PSYwnF8v5L59CwOe6Sl+bjHUZ0/6+wRH jvriKWJumraMqMkxT/CEvpejXnmS/jKNI149Se/YgiP/PUmv3pFj/udJ+sFv VT2VJ+nnvvvwWer5fvzwfam/nPPhs9R/7+GoN56kD7zPkY+epK+2z8T91PNn gu97kR43QtW7eZH+zKz+/YcX6U0zMqFf9SI9mSUT8elF+vfmmdT/futF+sLu mYh/Lzr/sEyq75e9xIr+LXacm5QJPDKQfnNuJvi+gfRkyzOhXzbQ36ccywSe GUjPei4TfA1684OZmJd6033WZxLfCoeefEom8MFA+uie6t/zGKA3xPfXQQ8a lQl8hX7TkAm9MPTuFRz9gYGe/4RDP2wgvf81btNHBjnNZqlnOfSxBtK7Hua0 X5it6keh75tnEN88cm37dIcaT7DHnxz1y0D657mc+MB6A+mxJ3Hscw309xFD OfG9vw1k7685+KWB9I6fcfBLvC+HUz940UDxbuKYJxlI3xjMMS/BeTw/fJb6 kbcM+m4D4fklhv2cgfR6fyD/jhuE5AeTGPiZgfR9nRjhzTID4auJ0Tx5gkGM fdrfXe/CsI8wCMmXb2VQvJsNQvKXrRn4+wODIH1PBs3bTnsRH/0sA3r26viz 6oFCM+j+LbyILxarekEvwodD6eg/PEnfNjMd9Vgvvpzl9m/D/6Uj3vTinZUv BKl6Qg/iy4/TbH9vJPVZG9KQn+7Er79NAz9wJ3wNT7P9fRPpP1LBD9xI3/dz KvDVjfA/IxX1yF3Iev5A1ee5E7+d0Nim5xx94Mkbc0Bjmx6T9EEpsKc76RmH pWAe4i4kv+ySgvx0J/s3TYG/3cRa2Q+lIN7cyP8BKcBDNzqPJgX9tBv1Gy+T 0d+5of6qfMGV3qeoej1X0vf9ngz8cRUHh9wscpmbjHrgYuMXxH9dSF/UMxn+ cLHxEeIvzmJrnVUsMy0Z+exM/glPRr1wpuf7JINP6Mj+75NQH3VUz/ck2epr T6+Vvnu/TgJeaYTs7+onAe8diO88aoR5rj3qVSPUL+h/5jSy6a1kfR7UCPMa OzFF+Ixp3qaRTW8q+UU1H6T72ov/5b0adqqaLxL+OND3tycCvxzFJ7K+qXxS Q/X5m0TwWw3lY8tE2FOD56vfd6J66p6IeHWi+z402/jDzkFb+xTtMcOeWtJ3 TlH5t476u1ZmnA98T6/qFXWUn4dNiA9n0lv1NSFenem8LibY15n0ZZeNqn6C /KMYcT7wk3WqvktH/GWmEfxCR78/zIj3o1/taIS/tGSvLCPqCfrdcCPy3Umc G6YbFehuBP9xIj1tfgLmvRrSn15MQD3UCMnPdyXA345C6vcWJYD/OlK+jExQ 5184j9rf2xO+pSfY9MfE9xLAT+2I71bF4/erFOKL8bhPJX0+EI/+/61C+rh4 4H2ZIp83Nh75V0L9Qud4Va+pyPhKV/VnhTSfqKs+P5/0YhVx4IcvaZ/0dxzq 8xPaF42OA148oP1sRhzy6y7tq+w+6M3kPuNIQ9z3X0XqsaY0VPdDitRvfdwQ fOV3JV7uNxtinvEnI71arE2P1mvvjUMea2Lh7/M0j+sXi37lMvbRsXj+TUb7 0Vjw/XukZ/ovBv19Hu2XVsfgfA+Z96bNXgOGxsAfT+j3m8SAjz+jeV5ADPjG c/Y+4pXl3Oto4OVL2h8djUY/9xrvj7bprUg/p+rXimkfdTsS9biY5n3fRmKf Xczk/Mo1EvhZzOR+dE8E+tciNsk6Px2i6s+KcP8IzFsLaR/vGgG8KoCeS913 v2C0rwxX9aaY54VjHnGX3ZD7t3Dg9VV2pOmy3Y3GR+A+F6DPi8T7z9L8tFUk 6s8p2mf9oOrpjjOpN9wfiXpxmO5THon828dc7ebscmus6vf+pPno2Cj0i5+Q Pu5YFObr2xW5D/SJVuclCs0/o7HfuqDQ/kz1xw3si2Owz85Tno9c273NFzGY Zz9VaF4ag3lVvkLz1hjgT7FC81tV71iukP4uFnhXpdD5YtDP2YuXa2JHxWyI AV+yp3395BjgYTU+WOO7+v2kR4HeIDwGfMNR0PujsU/RCJpHR+P8TqQ/aBSN +ZWToH1xFPynFTSvjrL169K+IyNV/RvpDa6r8aMVcr67Qd33a4XUZ46IsOlt pT9zIsAHnITUD3hEAM+dBOkz1f2+hvQLi8PhPw3uGw6+40ifa4fDfo5iV50X AU2uhaHeOZDeYV4Y9tP2Qu47W4QBD+yFjFeHMNjbjuyxKxT+qlJIjxiK91cq tP8MtekT5Pz5aAjwqlSR+4MBIcCjNwrlewjmo4WK3OcebgB8eq1QvjbAvuCp MrX3x9HLvVU9Sx7pGfYEo1+6ocj5d5dg27xQxos2GHiwTWnf7Te9ZbO6D95L 8/d2QerfE9B++30g5gk3GMVXIL5/H98PRL/9GPvkQJz3OXtV/tuVi73qw7+v mdPFgf+En6mHfCpgtC+th3pVyG4Ou+9uXFUXfLGYkR6xLvL5DemdptUBvyxh Ht/PjJyuqwM8xufJtXH/Uib1j+61ES9lbIL3utj78wOwzy9jct8bEoD9ZRmT +9hdtXCfcjpvi1q4TznplR75I7/LmdwvT/K36XPl/iqtpk3vO5v97/S/+/1g z1K26PnQ0EbfqXrKN6QX6+yDeCxm3+hb19/5lTfirYj0Z2MN4KOF0FN5Ib8L mNlh8JeWg57YLxewB0NuFBoz9PB3IaN9rTv6v0J25Eivn1Z+4ga+WMT+DwaY dQM= "]], LineBox[{{-23.495629385640825`, 5.734}, {-23.525629385640826`, 5.739}, {-23.556629385640825`, 5.744}, {-23.586629385640826`, 5.746}, {-23.60662938564083, 5.743}, {-23.46262938564083, 5.656}, {-23.27162938564083, 5.575}, {-23.22862938564083, 5.557}, {-23.169629385640825`, 5.534}, {-23.089629385640826`, 5.503}, {-22.980629385640825`, 5.461}, {-22.82862938564083, 5.406}, {-22.669629385640825`, 5.352}, {-22.622629385640828`, 5.337}, {-22.561629385640828`, 5.318}, {-22.48162938564083, 5.294}, {-22.376629385640825`, 5.263}, {-22.23762938564083, 5.227}, {-22.05462938564083, 5.184}, {-21.824629385640826`, 5.14}, {-21.779629385640824`, 5.133}, {-21.721629385640824`, 5.124}, {-21.64662938564083, 5.114}, {-21.549629385640827`, 5.102}, {-21.42362938564083, 5.09}, {-21.26162938564083, 5.078}, {-21.049629385640827`, 5.07}, {-20.805629385640827`, 5.068}, {-20.759629385640828`, 5.069}, {-20.701629385640828`, 5.07}, {-20.626629385640825`, 5.071}, {-20.529629385640824`, 5.074}, {-20.404629385640824`, 5.078}, {-20.244629385640827`, 5.084}, {-20.03962938564083, 5.092}, {-19.73162938564083, 5.1}, {-19.692629385640828`, 5.101}, {-19.641629385640826`, 5.101}, {-19.576629385640828`, 5.102}, {-19.492629385640825`, 5.101}, {-19.386629385640827`, 5.1}, {-19.24862938564083, 5.096}, {-19.073629385640828`, 5.086}, {-18.84762938564083, 5.067}, {-18.604629385640827`, 5.038}, {-18.560629385640826`, 5.031}, {-18.50462938564083, 5.022}, {-18.43162938564083, 5.01}, {-18.336629385640826`, 4.993}, {-18.214629385640826`, 4.969}, {-18.054629385640826`, 4.935}, {-17.842629385640826`, 4.883}, {-17.557629385640826`, 4.805}, {-17.389629385640827`, 4.756}, {-17.340629385640828`, 4.742}, {-17.276629385640828`, 4.722}, {-17.192629385640828`, 4.697}, {-17.08262938564083, 4.663}, {-16.935629385640826`, 4.619}, {-16.738629385640827`, 4.559}, {-16.46662938564083, 4.482}, {-16.083629385640826`, 4.389}, {-15.991629385640827`, 4.37}, {-15.891629385640826`, 4.351}, {-15.722629385640829`, 4.324}, {-15.673629385640826`, 4.317}, {-15.608629385640828`, 4.308}, {-15.523629385640827`, 4.299}, {-15.410629385640828`, 4.288}, {-15.26062938564083, 4.278}, {-15.057629385640826`, 4.271}, {-14.778629385640826`, 4.273}, {-14.383629385640827`, 4.292}, {-14.288629385640828`, 4.298}, {-14.185629385640826`, 4.305}, {-14.075629385640827`, 4.313}, {-13.955629385640826`, 4.321}, {-13.825629385640827`, 4.329}, {-13.684629385640829`, 4.337}, {-13.530629385640829`, 4.343}, {-13.363629385640827`, 4.345}, {-13.179629385640826`, 4.344}, {-12.979629385640827`, 4.334}, {-12.759629385640828`, 4.315}, {-12.464629385640826`, 4.27}, {-12.424629385640827`, 4.263}, {-12.373629385640829`, 4.253}, {-12.307629385640826`, 4.239}, {-12.221629385640828`, 4.219}, {-12.109629385640826`, 4.19}, {-11.963629385640829`, 4.148}, {-11.770629385640827`, 4.085}, {-11.516629385640826`, 3.992}, {-11.179629385640826`, 3.851}, {-10.988629385640827`, 3.764}, {-10.901629385640828`, 3.724}, {-10.808629385640828`, 3.681}, {-10.710629385640829`, 3.635}, {-10.606629385640826`, 3.586}, {-10.497629385640828`, 3.535}, {-10.381629385640828`, 3.482}, {-10.258629385640827`, 3.427}, {-10.129629385640829`, 3.37}, {-9.991629385640827, 3.313}, {-9.845629385640827, 3.257}, {-9.690629385640829, 3.201}, {-9.526629385640828, 3.149}, {-9.35062938564083, 3.102}, {-9.162629385640827, 3.061}, {-8.959629385640827, 3.029}, {-8.740629385640826, 3.008}, {-8.502629385640827, 3.}, {-8.242629385640829, 3.005}, {-7.954629385640828, 3.024}, {-7.632629385640829, 3.051}, {-7.270629385640827, 3.078}, {-6.859629385640826, 3.087}, {-6.649629385640829, 3.077}, {-6.555629385640827, 3.07}, {-6.460629385640829, 3.059}, {-6.362629385640826, 3.045}, {-6.261629385640827, 3.029}, {-6.158629385640829, 3.008}, {-6.052629385640827, 2.983}, {-5.946629385640829, 2.955}, {-5.834629385640827, 2.921}, {-5.721629385640828, 2.883}, {-5.606629385640826, 2.84}, {-5.4896293856408285`, 2.792}, {-5.3696293856408275`, 2.739}, {-5.248629385640829, 2.681}, {-5.123629385640829, 2.617}, {-4.998629385640829, 2.549}, {-4.871629385640826, 2.476}, {-4.743629385640826, 2.399}, {-4.600629385640829, 2.31}, {-4.559629385640829, 2.284}, {-4.507629385640829, 2.25}, {-4.441629385640827, 2.207}, {-4.355629385640828, 2.15}, {-4.246629385640826, 2.077}, {-4.106629385640826, 1.983}, {-3.9286293856408285`, 1.864}, {-3.702629385640826, 1.716}, {-3.418629385640827, 1.542}, {-3.0616293856408276`, 1.357}, {-2.8666293856408274`, 1.279}, {-2.7796293856408276`, 1.25}, {-2.6866293856408276`, 1.224}, {-2.589629385640828, 1.202}, {-2.4886293856408273`, 1.184}, {-2.3806293856408267`, 1.172}, {-2.2666293856408277`, 1.167}, {-2.144629385640828, 1.17}, {-2.0136293856408276`, 1.182}, {-1.8726293856408276`, 1.204}, {-1.7186293856408277`, 1.238}, {-1.5486293856408277`, 1.283}, {-1.3586293856408282`, 1.34}, {-1.1436293856408284`, 1.408}, {-0.8956293856408273, 1.481}, {-0.6056293856408281, 1.551}, {-0.2606293856408275, 1.599}, {0.15637061435917232`, 1.592}, { 0.2493706143591723, 1.58}, {0.3453706143591724, 1.563}, { 0.44637061435917325`, 1.541}, {0.5503706143591724, 1.513}, { 0.6593706143591724, 1.479}, {0.7713706143591725, 1.437}, { 0.8883706143591716, 1.388}, {1.009370614359172, 1.33}, { 1.1353706143591733`, 1.264}, {1.2653706143591723`, 1.188}, { 1.400370614359172, 1.103}, {1.5393706143591732`, 1.007}, { 1.6823706143591721`, 0.9}, {1.8293706143591724`, 0.784}, { 1.9803706143591722`, 0.657}, {2.1353706143591733`, 0.52}, { 2.2933706143591728`, 0.374}, {2.4543706143591724`, 0.219}, { 2.6173706143591726`, 0.057}, {2.783370614359173, -0.11}, { 2.950370614359173, -0.283}, {3.118370614359172, -0.458}, { 3.2873706143591725`, -0.635}, {3.455370614359172, -0.811}, { 3.623370614359173, -0.985}, {3.789370614359173, -1.155}, { 3.953370614359173, -1.319}, {4.115370614359172, -1.476}, { 4.275370614359172, -1.626}, {4.431370614359173, -1.766}, { 4.584370614359172, -1.897}, {4.729370614359173, -2.016}, { 4.874370614359172, -2.127}, {5.014370614359173, -2.227}, { 5.150370614359172, -2.318}, {5.282370614359173, -2.398}, { 5.409370614359172, -2.47}, {5.531370614359172, -2.532}, { 5.649370614359173, -2.586}, {5.764370614359173, -2.632}, { 5.873370614359173, -2.671}, {5.977370614359172, -2.703}, { 6.077370614359173, -2.729}, {6.173370614359173, -2.749}, { 6.264370614359173, -2.764}, {6.570370614359172, -2.786}, { 6.913370614359173, -2.755}, {7.186370614359173, -2.684}, { 7.403370614359172, -2.594}, {7.5743706143591725`, -2.495}, { 7.708370614359173, -2.394}, {7.810370614359172, -2.292}, { 7.8883706143591725`, -2.192}, {7.943370614359172, -2.093}, { 7.980370614359172, -1.996}, {8.002370614359172, -1.902}, { 8.011370614359173, -1.81}, {8.008370614359173, -1.721}, { 7.967370614359172, -1.525}, {7.954370614359172, -1.489}, { 7.937370614359173, -1.446}, {7.914370614359172, -1.394}, { 7.882370614359172, -1.333}, {7.839370614359172, -1.264}, { 7.784370614359172, -1.187}, {7.716370614359173, -1.107}, { 7.635370614359172, -1.029}, {7.545370614359173, -0.962}, { 7.338370614359173, -0.912}, {7.3243706143591725`, -0.931}, { 7.3643706143591725`, -1.09}, {7.443370614359172, -1.242}, { 7.464370614359172, -1.284}, {7.539370614359172, -1.446}, { 7.554370614359173, -1.483}, {7.571370614359172, -1.532}, { 7.6143706143591725`, -1.703}, {7.620370614359173, -1.748}, { 7.624370614359172, -1.806}, {7.623370614359173, -1.88}, { 7.612370614359173, -1.97}, {7.579370614359172, -2.085}, { 7.498370614359173, -2.236}, {7.298370614359173, -2.435}, { 7.038370614359173, -2.578}, {6.8723706143591725`, -2.635}, { 6.828370614359172, -2.646}, {6.768370614359172, -2.659}, { 6.601370614359173, -2.683}, {6.548370614359173, -2.687}, { 6.476370614359173, -2.69}, {6.267370614359172, -2.681}, { 6.222370614359172, -2.676}, {6.163370614359173, -2.668}, { 6.0823706143591725`, -2.654}, {5.9733706143591725`, -2.63}, { 5.744370614359172, -2.559}, {5.705370614359173, -2.545}, { 5.652370614359173, -2.524}, {5.583370614359173, -2.495}, { 5.491370614359172, -2.453}, {5.366370614359172, -2.39}, { 5.196370614359172, -2.293}, {4.9333706143591725`, -2.119}, { 4.899370614359173, -2.095}, {4.855370614359172, -2.064}, { 4.798370614359173, -2.021}, {4.724370614359173, -1.963}, { 4.625370614359173, -1.885}, {4.494370614359173, -1.776}, { 4.320370614359172, -1.623}, {4.086370614359172, -1.405}, { 3.8643706143591725`, -1.188}, {3.796370614359173, -1.121}, { 3.679370614359172, -1.002}, {3.645370614359173, -0.967}, { 3.602370614359172, -0.923}, {3.546370614359173, -0.865}, { 3.4733706143591725`, -0.789}, {3.379370614359173, -0.691}, { 3.257370614359173, -0.563}, {3.0983706143591725`, -0.397}, { 2.892370614359173, -0.183}, {2.6253706143591717`, 0.09}, { 2.477370614359172, 0.238}, {2.410370614359172, 0.303}, { 2.339370614359172, 0.371}, {2.2663706143591718`, 0.441}, { 2.189370614359172, 0.512}, {2.051370614359172, 0.637}, { 2.019370614359172, 0.665}, {1.9793706143591727`, 0.701}, { 1.9273706143591731`, 0.746}, {1.860370614359173, 0.801}, { 1.775370614359172, 0.871}, {1.6683706143591728`, 0.956}, { 1.5313706143591723`, 1.058}, {1.3593706143591717`, 1.177}, { 1.145370614359173, 1.309}, {0.8803706143591725, 1.445}, { 0.5603706143591722, 1.569}, {0.3953706143591731, 1.615}, { 0.34937061435917194`, 1.625}, {0.2913706143591721, 1.637}, { 0.2183706143591717, 1.65}, {0.1273706143591724, 1.663}, { 0.01337061435917164, 1.674}, {-0.12762938564082837`, 1.68}, {-0.3006293856408284, 1.677}, {-0.5076293856408274, 1.658}, {-0.809629385640827, 1.607}, {-0.8476293856408272, 1.598}, {-0.897629385640828, 1.588}, {-0.9596293856408273, 1.573}, {-1.0366293856408273`, 1.555}, {-1.1336293856408268`, 1.531}, {-1.2526293856408284`, 1.501}, {-1.3996293856408268`, 1.464}, {-1.578629385640827, 1.423}, {-1.745629385640827, 1.391}, {-1.791629385640828, 1.383}, {-1.849629385640828, 1.375}, {-1.9236293856408277`, 1.366}, {-2.017629385640827, 1.358}, {-2.134629385640828, 1.354}, {-2.283629385640827, 1.359}, {-2.496629385640828, 1.387}, {-2.5396293856408274`, 1.396}, {-2.5956293856408283`, 1.409}, {-2.6676293856408275`, 1.428}, {-2.7606293856408275`, 1.456}, {-2.878629385640828, 1.499}, {-3.0326293856408277`, 1.564}, {-3.230629385640828, 1.664}, {-3.2706293856408273`, 1.685}, {-3.3216293856408274`, 1.714}, {-3.386629385640827, 1.751}, {-3.471629385640828, 1.802}, {-3.580629385640826, 1.871}, {-3.722629385640829, 1.963}, {-3.9066293856408265`, 2.087}, {-4.041629385640828, 2.181}, {-4.080629385640826, 2.208}, {-4.129629385640829, 2.243}, {-4.193629385640829, 2.287}, {-4.275629385640826, 2.345}, {-4.381629385640828, 2.418}, {-4.517629385640827, 2.512}, {-4.691629385640827, 2.629}, {-4.915629385640827, 2.773}, {-5.198629385640828, 2.942}, {-5.552629385640827, 3.128}, {-5.742629385640829, 3.215}, {-5.826629385640828, 3.25}, {-5.913629385640828, 3.285}, {-6.003629385640828, 3.319}, {-6.096629385640828, 3.352}, {-6.386629385640827, 3.443}, {-6.548629385640826, 3.486}, {-6.711629385640826, 3.526}, {-6.875629385640828, 3.562}, {-7.034629385640827, 3.598}, {-7.197629385640827, 3.636}, {-7.463629385640829, 3.72}, {-7.534629385640827, 3.901}, {-7.377629385640827, 3.978}, {-7.199629385640826, 4.028}, {-7.143629385640828, 4.04}, {-7.064629385640828, 4.054}, {-6.947629385640827, 4.071}, {-6.774629385640829, 4.086}, {-6.718629385640828, 4.089}, {-6.643629385640828, 4.092}, {-6.539629385640829, 4.092}, {-6.391629385640826, 4.087}, {-6.176629385640826, 4.068}, {-5.929629385640826, 4.029}, {-5.883629385640827, 4.02}, {-5.822629385640827, 4.007}, {-5.741629385640827, 3.988}, {-5.632629385640829, 3.961}, {-5.485629385640827, 3.918}, {-5.2816293856408265`, 3.851}, {-4.995629385640829, 3.743}, {-4.708629385640826, 3.623}, {-4.618629385640826, 3.583}, {-4.5216293856408285`, 3.54}, {-4.417629385640829, 3.493}, {-4.304629385640826, 3.443}, {-4.117629385640829, 3.36}, {-4.074629385640826, 3.341}, {-4.018629385640828, 3.317}, {-3.945629385640828, 3.286}, {-3.849629385640828, 3.246}, {-3.7236293856408267`, 3.196}, {-3.5556293856408274`, 3.133}, {-3.328629385640827, 3.059}, {-3.0156293856408283`, 2.979}, {-2.7076293856408267`, 2.929}, {-2.6116293856408284`, 2.919}, {-2.5076293856408274`, 2.911}, {-2.3956293856408273`, 2.906}, {-2.272629385640828, 2.905}, {-2.139629385640827, 2.908}, {-1.993629385640828, 2.915}, {-1.8326293856408267`, 2.926}, {-1.6536293856408282`, 2.943}, {-1.4546293856408283`, 2.964}, {-1.232629385640827, 2.987}, {-0.9806293856408281, 3.009}, {-0.695629385640828, 3.023}, {-0.36862938564082803`, 3.018}, { 0.005370614359172521, 2.976}, {0.4233706143591718, 2.877}, { 0.4633706143591727, 2.865}, {0.5153706143591723, 2.848}, { 0.5833706143591719, 2.824}, {0.6713706143591729, 2.792}, { 0.7863706143591731, 2.746}, {0.9373706143591729, 2.679}, { 1.134370614359172, 2.582}, {1.3943706143591719`, 2.438}, { 1.7363706143591724`, 2.228}, {1.8143706143591718`, 2.178}, { 1.895370614359173, 2.124}, {1.9813706143591716`, 2.067}, { 2.0723706143591727`, 2.007}, {2.166370614359172, 1.943}, { 2.2663706143591718`, 1.876}, {2.371370614359172, 1.806}, { 2.4813706143591716`, 1.733}, {2.597370614359173, 1.658}, { 2.7183706143591717`, 1.582}, {2.8453706143591724`, 1.505}, { 2.9793706143591727`, 1.43}, {3.1193706143591733`, 1.357}, { 3.2663706143591718`, 1.289}, {3.421370614359173, 1.229}, { 3.5853706143591726`, 1.178}, {3.7603706143591733`, 1.142}, { 3.9473706143591727`, 1.123}, {4.151370614359173, 1.126}, { 4.377370614359172, 1.155}, {4.633370614359173, 1.216}, { 4.935370614359172, 1.309}, {5.302370614359172, 1.427}, { 5.5053706143591725`, 1.485}, {5.600370614359172, 1.508}, { 5.6993706143591725`, 1.53}, {5.805370614359172, 1.55}, { 5.916370614359172, 1.566}, {6.035370614359173, 1.578}, { 6.160370614359173, 1.584}, {6.294370614359172, 1.583}, { 6.436370614359173, 1.574}, {6.587370614359172, 1.553}, { 6.749370614359172, 1.519}, {6.920370614359173, 1.47}, { 7.102370614359172, 1.402}, {7.296370614359173, 1.314}, { 7.502370614359172, 1.202}, {7.718370614359173, 1.065}, { 7.947370614359173, 0.901}, {8.186370614359173, 0.71}, { 8.436370614359173, 0.492}, {8.694370614359173, 0.249}, { 8.959370614359173, -0.014}, {9.230370614359172, -0.292}, { 9.504370614359173, -0.578}, {9.778370614359172, -0.865}, { 10.051370614359172`, -1.145}, {10.319370614359173`, -1.413}, { 10.581370614359173`, -1.66}, {10.835370614359173`, -1.885}, { 11.080370614359172`, -2.083}, {11.313370614359172`, -2.254}, { 11.535370614359172`, -2.398}, {11.746370614359172`, -2.516}, { 11.944370614359173`, -2.61}, {12.131370614359172`, -2.684}, { 12.306370614359173`, -2.738}, {12.469370614359173`, -2.776}, { 12.622370614359172`, -2.801}, {12.765370614359172`, -2.814}, { 12.899370614359173`, -2.818}, {13.023370614359173`, -2.813}, { 13.139370614359173`, -2.802}, {13.247370614359173`, -2.786}, { 13.348370614359172`, -2.766}, {13.441370614359172`, -2.743}, { 13.736370614359172`, -2.638}, {14.030370614359173`, -2.473}, { 14.232370614359173`, -2.302}, {14.366370614359173`, -2.132}, { 14.445370614359172`, -1.964}, {14.482370614359173`, -1.797}, { 14.485370614359173`, -1.632}, {14.459370614359173`, -1.468}, { 14.410370614359172`, -1.307}, {14.322370614359173`, -1.113}, { 14.301370614359172`, -1.074}, {14.274370614359173`, -1.026}, { 14.237370614359172`, -0.967}, {14.188370614359172`, -0.893}, { 14.123370614359173`, -0.804}, {14.036370614359173`, -0.697}, { 13.923370614359172`, -0.575}, {13.777370614359173`, -0.438}, { 13.593370614359172`, -0.295}, {13.369370614359173`, -0.157}, { 13.106370614359172`, -0.04}, {12.808370614359173`, 0.044}, { 12.454370614359172`, 0.094}, {12.416370614359172`, 0.097}, { 12.369370614359173`, 0.101}, {12.310370614359172`, 0.105}, { 12.237370614359172`, 0.11}, {12.149370614359173`, 0.116}, { 12.043370614359173`, 0.124}, {11.919370614359172`, 0.137}, { 11.776370614359173`, 0.16}, {11.619370614359173`, 0.201}, { 11.463370614359173`, 0.273}, {11.427370614359173`, 0.297}, { 11.385370614359172`, 0.33}, {11.341370614359173`, 0.376}, { 11.300370614359172`, 0.441}, {11.277370614359173`, 0.531}, { 11.299370614359173`, 0.663}, {11.337370614359173`, 0.735}, { 11.341370614359173`, 0.742}, {11.521370614359173`, 0.939}, { 11.768370614359172`, 1.113}, {12.059370614359173`, 1.253}, { 12.372370614359172`, 1.344}, {12.689370614359172`, 1.378}, { 12.991370614359173`, 1.357}, {13.269370614359172`, 1.295}, { 13.513370614359172`, 1.207}, {13.722370614359173`, 1.108}, { 13.897370614359172`, 1.01}, {14.041370614359172`, 0.919}, { 14.158370614359173`, 0.84}, {14.251370614359173`, 0.772}, { 14.326370614359172`, 0.716}, {14.385370614359172`, 0.67}, { 14.431370614359173`, 0.633}, {14.468370614359172`, 0.603}, { 14.599370614359172`, 0.493}, {14.674370614359173`, 0.428}, { 14.750370614359174`, 0.361}, {14.826370614359172`, 0.292}, { 14.902370614359173`, 0.221}, {14.978370614359171`, 0.149}, { 15.055370614359173`, 0.075}, {15.132370614359171`, 0}, { 15.209370614359173`, -0.076}, {15.286370614359173`, -0.154}, { 15.363370614359173`, -0.232}, {15.440370614359173`, -0.31}, { 15.516370614359172`, -0.389}, {15.593370614359173`, -0.469}, { 15.669370614359172`, -0.548}, {15.745370614359173`, -0.628}, { 15.821370614359171`, -0.707}, {15.896370614359173`, -0.786}, { 15.971370614359172`, -0.864}, {16.046370614359173`, -0.942}, { 16.119370614359173`, -1.018}, {16.192370614359174`, -1.094}, { 16.26537061435917, -1.169}, {16.336370614359172`, -1.242}, { 16.40837061435917, -1.314}, {16.47837061435917, -1.385}, { 16.548370614359172`, -1.454}, {16.616370614359173`, -1.521}, { 16.684370614359175`, -1.587}, {16.75137061435917, -1.651}, { 16.904370614359173`, -1.795}, {17.21637061435917, -2.068}, { 17.503370614359174`, -2.294}, {17.76637061435917, -2.477}, { 18.005370614359173`, -2.622}, {18.221370614359174`, -2.734}, { 18.418370614359173`, -2.819}, {18.595370614359172`, -2.882}, { 18.756370614359174`, -2.928}, {18.90237061435917, -2.96}, { 19.034370614359172`, -2.982}, {19.15537061435917, -2.995}, { 19.264370614359173`, -3.003}, {19.364370614359174`, -3.006}, { 19.672370614359174`, -2.991}, {19.96337061435917, -2.948}, { 20.16137061435917, -2.903}, {20.300370614359174`, -2.865}, { 20.39937061435917, -2.835}, {20.473370614359172`, -2.811}, { 20.52737061435917, -2.792}, {20.56737061435917, -2.778}, { 20.76837061435917, -2.7}, {20.96637061435917, -2.614}, { 21.241370614359173`, -2.472}, {21.39937061435917, -2.372}, { 21.496370614359172`, -2.3}, {21.559370614359175`, -2.245}, { 21.601370614359173`, -2.204}, {21.711370614359172`, -2.064}, { 21.77137061435917, -1.945}, {21.799370614359173`, -1.855}, { 21.812370614359175`, -1.786}, {21.81737061435917, -1.734}, { 21.818370614359175`, -1.693}, {21.801370614359172`, -1.485}, { 21.784370614359172`, -1.402}, {21.76837061435917, -1.339}, { 21.754370614359175`, -1.292}, {21.700370614359173`, -1.135}, { 21.669370614359174`, -1.056}, {21.644370614359172`, -0.998}, { 21.62537061435917, -0.954}, {21.54537061435917, -0.79}, { 21.517370614359173`, -0.736}, {21.496370614359172`, -0.696}, { 21.407370614359174`, -0.546}, {21.380370614359173`, -0.503}, { 21.358370614359174`, -0.47}, {21.252370614359172`, -0.327}, { 21.224370614359174`, -0.291}, {21.111370614359174`, -0.162}, { 21.07437061435917, -0.122}, {21.044370614359174`, -0.09}, { 20.926370614359172`, 0.026}, {20.886370614359173`, 0.064}, { 20.85337061435917, 0.094}, {20.71637061435917, 0.212}, { 20.680370614359173`, 0.243}, {20.54537061435917, 0.349}, { 20.511370614359173`, 0.376}, {20.285370614359174`, 0.558}, { 20.290370614359173`, 0.607}, {20.313370614359172`, 0.603}, { 20.492370614359174`, 0.531}, {20.586370614359172`, 0.478}, { 20.674370614359173`, 0.423}, {20.752370614359172`, 0.37}, { 20.82037061435917, 0.321}, {20.877370614359172`, 0.279}, { 20.925370614359174`, 0.242}, {20.96337061435917, 0.212}, { 20.995370614359175`, 0.187}, {21.206370614359173`, 0.009}, { 21.471370614359174`, -0.234}, {21.71337061435917, -0.468}, { 21.924370614359173`, -0.68}, {22.10337061435917, -0.862}, { 22.252370614359172`, -1.014}, {22.373370614359175`, -1.139}, { 22.471370614359174`, -1.238}, {22.549370614359173`, -1.318}, { 22.610370614359173`, -1.38}, {22.659370614359172`, -1.429}, { 22.69837061435917, -1.468}, {22.72837061435917, -1.498}, { 22.876370614359175`, -1.644}, {22.993370614359172`, -1.757}, { 23.107370614359173`, -1.865}, {23.218370614359173`, -1.967}, { 23.325370614359173`, -2.063}, {23.428370614359174`, -2.153}, { 23.52737061435917, -2.237}, {23.62237061435917, -2.315}, { 23.714370614359172`, -2.388}, {23.801370614359172`, -2.455}, { 23.885370614359175`, -2.517}, {23.965370614359173`, -2.573}, { 24.14137061435917, -2.691}, {24.46037061435917, -2.874}, { 24.705370614359172`, -2.99}, {24.892370614359173`, -3.063}, { 25.03637061435917, -3.11}, {25.147370614359172`, -3.141}, { 25.232370614359173`, -3.161}, {25.297370614359174`, -3.175}, { 25.348370614359172`, -3.185}, {25.523370614359173`, -3.212}, { 25.64037061435917, -3.224}, {25.75037061435917, -3.231}, { 25.852370614359174`, -3.235}, {25.947370614359173`, -3.236}, { 26.34737061435917, -3.214}, {26.63137061435917, -3.18}, { 26.83837061435917, -3.15}, {26.990370614359172`, -3.126}, { 27.10337061435917, -3.108}, {27.18937061435917, -3.095}, { 27.254370614359175`, -3.085}, {27.303370614359174`, -3.078}, { 27.471370614359174`, -3.055}, {27.776370614359173`, -3.024}, { 27.992370614359174`, -3.013}, {28.150370614359172`, -3.013}, { 28.26837061435917, -3.018}, {28.357370614359173`, -3.024}, { 28.425370614359174`, -3.03}, {28.476370614359173`, -3.036}, { 28.51637061435917, -3.042}, {28.800370614359174`, -3.094}, { 28.974370614359174`, -3.139}, {29.105370614359174`, -3.18}, { 29.206370614359173`, -3.214}, {29.285370614359174`, -3.243}, { 29.345370614359172`, -3.266}, {29.392370614359173`, -3.285}, { 29.42837061435917, -3.3}, {29.685370614359172`, -3.412}, { 29.843370614359173`, -3.485}, {29.965370614359173`, -3.543}, { 30.060370614359172`, -3.588}, {30.134370614359174`, -3.624}, { 30.192370614359174`, -3.651}, {30.236370614359174`, -3.672}, { 30.39137061435917, -3.745}, {30.56237061435917, -3.824}, { 30.691370614359172`, -3.881}, {30.78937061435917, -3.922}, { 30.863370614359173`, -3.953}, {30.918370614359173`, -3.975}, { 30.96037061435917, -3.992}, {31.145370614359173`, -4.064}, { 31.24837061435917, -4.103}, {31.317370614359174`, -4.13}, { 31.46037061435917, -4.208}, {31.44937061435917, -4.223}, { 31.418370614359173`, -4.231}, {31.37937061435917, -4.235}, { 31.339370614359172`, -4.235}, {31.302370614359173`, -4.235}, { 31.269370614359172`, -4.233}, {30.983370614359174`, -4.198}, { 30.773370614359173`, -4.156}, {30.57437061435917, -4.106}, { 30.395370614359173`, -4.056}, {30.23937061435917, -4.008}, { 30.10637061435917, -3.965}, {29.996370614359172`, -3.928}, { 29.90537061435917, -3.898}, {29.83237061435917, -3.873}, { 29.773370614359173`, -3.852}, {29.726370614359173`, -3.836}, { 29.688370614359172`, -3.824}, {29.470370614359172`, -3.75}, { 29.349370614359174`, -3.71}, {29.227370614359174`, -3.672}, { 29.104370614359173`, -3.636}, {28.982370614359173`, -3.602}, { 28.85937061435917, -3.57}, {28.736370614359174`, -3.541}, { 28.612370614359172`, -3.516}, {28.489370614359174`, -3.494}, { 28.366370614359173`, -3.476}, {28.242370614359174`, -3.461}, { 28.119370614359173`, -3.45}, {27.996370614359172`, -3.442}, { 27.874370614359172`, -3.438}, {27.752370614359172`, -3.437}, { 27.630370614359173`, -3.439}, {27.50937061435917, -3.444}, { 27.389370614359173`, -3.45}, {27.269370614359172`, -3.458}, { 27.151370614359173`, -3.468}, {27.034370614359172`, -3.478}, { 26.918370614359173`, -3.488}, {26.804370614359172`, -3.498}, { 26.69237061435917, -3.508}, {26.581370614359173`, -3.517}, { 26.473370614359172`, -3.524}, {26.367370614359174`, -3.53}, { 26.26337061435917, -3.535}, {26.162370614359173`, -3.537}, { 26.06437061435917, -3.537}, {25.96937061435917, -3.536}, { 25.876370614359175`, -3.533}, {25.66737061435917, -3.517}, { 25.27437061435917, -3.454}, {24.959370614359173`, -3.367}, { 24.712370614359173`, -3.276}, {24.520370614359173`, -3.192}, { 24.373370614359175`, -3.118}, {24.260370614359175`, -3.057}, { 24.173370614359172`, -3.008}, {24.10637061435917, -2.968}, { 24.054370614359172`, -2.937}, {24.014370614359173`, -2.912}, { 23.851370614359173`, -2.807}, {23.775370614359172`, -2.755}, { 23.427370614359173`, -2.508}, {23.142370614359173`, -2.3}, { 22.915370614359173`, -2.142}, {22.737370614359172`, -2.038}, { 22.599370614359174`, -1.983}, {22.489370614359174`, -1.97}, { 22.397370614359172`, -1.992}, {22.310370614359172`, -2.039}, { 22.217370614359172`, -2.107}, {22.108370614359174`, -2.19}, { 21.967370614359172`, -2.284}, {21.779370614359173`, -2.39}, { 21.523370614359173`, -2.51}, {21.169370614359174`, -2.654}, { 21.083370614359172`, -2.686}, {20.992370614359174`, -2.72}, { 20.89337061435917, -2.755}, {20.787370614359173`, -2.791}, { 20.673370614359172`, -2.828}, {20.550370614359174`, -2.866}, { 20.418370614359173`, -2.903}, {20.275370614359172`, -2.94}, { 20.120370614359175`, -2.975}, {19.953370614359173`, -3.006}, { 19.772370614359172`, -3.031}, {19.57637061435917, -3.046}, { 19.364370614359174`, -3.048}, {19.13537061435917, -3.032}, { 18.88737061435917, -2.992}, {18.621370614359172`, -2.922}, { 18.336370614359172`, -2.815}, {18.03337061435917, -2.665}, { 17.71337061435917, -2.469}, {17.37937061435917, -2.224}, { 17.127370614359172`, -2.017}, {17.058370614359173`, -1.956}, { 16.988370614359173`, -1.895}, {16.918370614359173`, -1.831}, { 16.848370614359172`, -1.767}, {16.778370614359172`, -1.701}, { 16.708370614359172`, -1.634}, {16.63837061435917, -1.566}, { 16.56837061435917, -1.497}, {16.497370614359173`, -1.428}, { 16.427370614359173`, -1.357}, {16.357370614359173`, -1.286}, { 16.287370614359173`, -1.215}, {16.218370614359173`, -1.143}, { 16.148370614359173`, -1.072}, {16.07937061435917, -1.}, { 16.01037061435917, -0.928}, {15.942370614359172`, -0.857}, { 15.873370614359173`, -0.785}, {15.806370614359173`, -0.715}, { 15.738370614359173`, -0.644}, {15.672370614359172`, -0.575}, { 15.605370614359172`, -0.506}, {15.540370614359173`, -0.438}, { 15.475370614359171`, -0.371}, {15.410370614359172`, -0.305}, { 15.262370614359172`, -0.155}, {14.957370614359172`, 0.142}, { 14.672370614359172`, 0.402}, {14.406370614359172`, 0.623}, { 14.161370614359173`, 0.805}, {13.936370614359173`, 0.952}, { 13.730370614359172`, 1.067}, {13.542370614359172`, 1.154}, { 13.370370614359173`, 1.219}, {13.214370614359172`, 1.264}, { 13.072370614359173`, 1.293}, {12.942370614359172`, 1.31}, { 12.824370614359172`, 1.317}, {12.715370614359172`, 1.315}, { 12.617370614359173`, 1.308}, {12.234370614359172`, 1.216}, { 11.987370614359172`, 1.095}, {11.828370614359173`, 0.976}, { 11.729370614359173`, 0.869}, {11.644370614359172`, 0.663}, { 11.830370614359172`, 0.396}, {12.225370614359173`, 0.271}, { 12.314370614359172`, 0.255}, {12.405370614359173`, 0.238}, { 12.499370614359172`, 0.221}, {12.594370614359173`, 0.202}, { 12.692370614359172`, 0.181}, {12.791370614359172`, 0.156}, { 12.892370614359173`, 0.128}, {12.993370614359172`, 0.094}, { 13.095370614359172`, 0.056}, {13.198370614359172`, 0.012}, { 13.300370614359172`, -0.038}, {13.401370614359173`, -0.094}, { 13.502370614359172`, -0.157}, {13.601370614359173`, -0.225}, { 13.698370614359172`, -0.299}, {13.792370614359172`, -0.379}, { 13.883370614359173`, -0.463}, {13.971370614359172`, -0.552}, { 14.053370614359173`, -0.645}, {14.131370614359172`, -0.741}, { 14.204370614359172`, -0.839}, {14.270370614359173`, -0.939}, { 14.330370614359172`, -1.04}, {14.382370614359173`, -1.142}, { 14.428370614359173`, -1.243}, {14.465370614359173`, -1.345}, { 14.493370614359172`, -1.445}, {14.513370614359172`, -1.544}, { 14.523370614359173`, -1.642}, {14.523370614359173`, -1.738}, { 14.512370614359172`, -1.833}, {14.491370614359173`, -1.926}, { 14.458370614359172`, -2.017}, {14.412370614359173`, -2.107}, { 14.354370614359173`, -2.195}, {14.282370614359172`, -2.282}, { 14.195370614359172`, -2.366}, {14.092370614359172`, -2.449}, { 13.972370614359173`, -2.529}, {13.833370614359172`, -2.605}, { 13.674370614359173`, -2.676}, {13.493370614359172`, -2.738}, { 13.288370614359172`, -2.787}, {13.057370614359172`, -2.818}, { 12.798370614359172`, -2.822}, {12.510370614359173`, -2.789}, { 12.191370614359172`, -2.708}, {11.841370614359173`, -2.567}, { 11.567370614359172`, -2.42}, {11.490370614359172`, -2.374}, { 11.413370614359172`, -2.324}, {11.334370614359173`, -2.271}, { 11.255370614359173`, -2.216}, {11.174370614359173`, -2.158}, { 11.093370614359172`, -2.096}, {11.011370614359173`, -2.032}, { 10.929370614359172`, -1.966}, {10.845370614359172`, -1.896}, { 10.762370614359172`, -1.825}, {10.678370614359173`, -1.751}, { 10.593370614359172`, -1.674}, {10.508370614359173`, -1.596}, { 10.423370614359172`, -1.516}, {10.338370614359173`, -1.434}, { 10.253370614359172`, -1.35}, {10.167370614359172`, -1.266}, { 10.082370614359172`, -1.18}, {9.997370614359173, -1.093}, { 9.912370614359173, -1.006}, {9.827370614359172, -0.918}, { 9.743370614359172, -0.831}, {9.659370614359172, -0.743}, { 9.576370614359172, -0.656}, {9.493370614359172, -0.569}, { 9.411370614359173, -0.483}, {9.329370614359172, -0.397}, { 9.248370614359173, -0.313}, {9.169370614359172, -0.23}, { 9.089370614359172, -0.149}, {9.011370614359173, -0.069}, { 8.934370614359173, 0.009}, {8.858370614359172, 0.086}, { 8.783370614359173, 0.16}, {8.709370614359173, 0.232}, { 8.636370614359173, 0.303}, {8.564370614359174, 0.371}, { 8.493370614359172, 0.437}, {8.423370614359172, 0.5}, { 8.354370614359173, 0.562}, {8.027370614359173, 0.836}, { 7.730370614359172, 1.054}, {7.461370614359172, 1.222}, { 7.220370614359172, 1.348}, {7.002370614359172, 1.438}, { 6.807370614359172, 1.5}, {6.632370614359172, 1.541}, { 6.474370614359173, 1.565}, {6.331370614359172, 1.577}, { 6.202370614359173, 1.58}, {6.085370614359173, 1.576}, { 5.978370614359172, 1.568}, {5.881370614359173, 1.556}, { 5.581370614359172, 1.498}, {5.292370614359172, 1.417}, { 5.092370614359172, 1.353}, {4.948370614359172, 1.305}, { 4.842370614359172, 1.27}, {4.764370614359173, 1.245}, { 4.704370614359172, 1.227}, {4.659370614359172, 1.214}, { 4.388370614359172, 1.147}, {4.060370614359172, 1.11}, { 3.7553706143591725`, 1.13}, {3.4633706143591727`, 1.202}, { 3.176370614359172, 1.317}, {2.892370614359173, 1.466}, { 2.6083706143591723`, 1.638}, {2.325370614359173, 1.824}, { 2.0433706143591728`, 2.014}, {1.7643706143591729`, 2.198}, { 1.490370614359172, 2.369}, {1.222370614359173, 2.522}, { 0.9623706143591733, 2.654}, {0.711370614359172, 2.763}, { 0.4703706143591724, 2.848}, {0.2393706143591725, 2.912}, { 0.02037061435917309, 2.957}, {-0.18862938564082832`, 2.986}, {-0.38662938564082694`, 3.001}, {-0.5736293856408281, 3.006}, {-0.7516293856408272, 3.002}, {-0.9196293856408282, 2.993}, {-1.0796293856408283`, 2.98}, {-1.2316293856408276`, 2.965}, {-1.3756293856408277`, 2.949}, {-1.5126293856408282`, 2.934}, {-1.6436293856408284`, 2.919}, {-1.7686293856408284`, 2.906}, {-1.8886293856408276`, 2.894}, {-2.003629385640828, 2.886}, {-2.1136293856408273`, 2.879}, {-2.219629385640827, 2.875}, {-2.322629385640827, 2.874}, {-2.421629385640827, 2.875}, {-2.5166293856408277`, 2.878}, {-2.6086293856408282`, 2.884}, {-3.0326293856408277`, 2.944}, {-3.402629385640827, 3.039}, {-3.732629385640827, 3.152}, {-4.0266293856408275`, 3.269}, {-4.292629385640829, 3.382}, {-4.530629385640829, 3.484}, {-4.745629385640829, 3.574}, {-4.939629385640828, 3.651}, {-5.112629385640826, 3.714}, {-5.268629385640828, 3.766}, {-5.407629385640828, 3.807}, {-5.532629385640828, 3.839}, {-5.643629385640828, 3.864}, {-5.857629385640827, 3.898}, {-6.1516293856408275`, 3.906}, {-6.222629385640829, 3.72}, {-6.111629385640828, 3.654}, {-5.976629385640827, 3.583}, {-5.822629385640827, 3.504}, {-5.657629385640828, 3.418}, {-5.485629385640827, 3.324}, {-5.3086293856408275`, 3.222}, {-5.130629385640827, 3.115}, {-4.953629385640827, 3.003}, {-4.779629385640828, 2.888}, {-4.609629385640826, 2.771}, {-4.444629385640827, 2.656}, {-4.284629385640827, 2.543}, {-4.131629385640828, 2.434}, {-3.9836293856408282`, 2.331}, {-3.8436293856408277`, 2.233}, {-3.708629385640826, 2.142}, {-3.580629385640826, 2.059}, {-3.4596293856408273`, 1.982}, {-3.3436293856408277`, 1.913}, {-3.232629385640827, 1.851}, {-3.1276293856408284`, 1.796}, {-3.027629385640827, 1.748}, {-2.932629385640828, 1.706}}], LineBox[NCache[{{-2.565629385640827, 1.583}, {-2.6966293856408274`, 1.62}, {-2.8276293856408277`, 1.665}, {-2.9596293856408273`, 1.719}, {-3.0936293856408277`, 1.781}, {-3.2286293856408275`, 1.85}, {-3.3646293856408267`, 1.927}, {-3.5026293856408266`, 2.01}, {-3.641629385640826, 2.099}, {-3.7826293856408277`, 2.193}, {-3.924629385640827, 2.29}, {-4.067629385640828, 2.39}, {-4.210629385640829, 2.492}, {-4.356629385640826, 2.595}, {-4.500629385640828, 2.696}, {-4.643629385640828, 2.796}, {-4.785629385640828, 2.893}, {-4.926629385640826, 2.986}, {-5.064629385640828, 3.075}, {-5.200629385640827, 3.159}, {-5.3326293856408284`, 3.238}, {-5.460629385640829, 3.312}, {-5.583629385640826, 3.38}, {-5.700629385640827, 3.442}, {-5.811629385640828, 3.5}, {-5.914629385640829, 3.553}, {-6.008629385640827, 3.602}, {-6.093629385640828, 3.647}, {-6.296629385640827, 3.786}, {-6.112629385640826, 3.907}, {-5.9676293856408265`, 3.906}, {-5.766629385640826, 3.885}, {-5.496629385640826, 3.83}, {-5.140629385640828, 3.723}, {-4.939629385640828, 3.65}, {-4.845629385640827, 3.614}, {-4.747629385640828, 3.574}, {-4.643629385640828, 3.532}, {-4.535629385640828, 3.486}, {-4.420629385640826, 3.437}, {-4.300629385640828, 3.385}, {-4.174629385640827, 3.331}, {-4.042629385640829, 3.276}, {-3.9036293856408264`, 3.218}, {-3.756629385640828, 3.161}, {-3.6036293856408292`, 3.105}, {-3.4416293856408267`, 3.051}, {-3.2706293856408273`, 3.}, {-3.089629385640828, 2.956}, {-2.897629385640828, 2.919}, {-2.6936293856408273`, 2.892}, {-2.4736293856408267`, 2.876}, {-2.237629385640828, 2.875}, {-1.979629385640827, 2.887}, {-1.695629385640828, 2.913}, {-1.381629385640828, 2.949}, {-1.0296293856408276`, 2.985}, {-0.6326293856408274, 3.005}, {-0.309629385640827, 2.997}, {-0.21562938564082756`, 2.989}, {-0.11962938564082748`, 2.978}, {-0.021629385640826726`, 2.964}, {0.07837061435917292, 2.947}, {0.18137061435917268`, 2.926}, { 0.2863706143591731, 2.901}, {0.39437061435917187`, 2.871}, { 0.5043706143591731, 2.837}, {0.6163706143591732, 2.798}, { 0.7303706143591722, 2.755}, {0.8463706143591718, 2.706}, { 0.9653706143591716, 2.653}, {1.0853706143591726`, 2.594}, { 1.2073706143591725`, 2.53}, {1.331370614359173, 2.462}, { 1.456370614359173, 2.389}, {1.583370614359172, 2.312}, { 1.711370614359172, 2.232}, {1.8403706143591716`, 2.148}, { 1.9703706143591724`, 2.063}, {2.100370614359173, 1.975}, { 2.2313706143591716`, 1.887}, {2.362370614359172, 1.799}, { 2.493370614359172, 1.712}, {2.6253706143591717`, 1.627}, { 2.756370614359172, 1.546}, {2.8883706143591716`, 1.468}, { 3.020370614359173, 1.395}, {3.1513706143591733`, 1.329}, { 3.283370614359173, 1.269}, {3.416370614359172, 1.218}, { 3.5503706143591724`, 1.176}, {3.6853706143591722`, 1.143}, { 3.8223706143591727`, 1.121}, {3.9623706143591733`, 1.11}, { 4.106370614359172, 1.112}, {4.2553706143591725`, 1.125}, { 4.411370614359173, 1.152}, {4.576370614359172, 1.191}, { 4.753370614359173, 1.242}, {4.944370614359173, 1.304}, { 5.1543706143591725`, 1.373}, {5.387370614359172, 1.446}, { 5.650370614359172, 1.514}, {5.948370614359172, 1.564}, { 6.291370614359172, 1.579}, {6.685370614359172, 1.53}, { 6.889370614359173, 1.476}, {6.9813706143591725`, 1.446}, { 7.075370614359173, 1.41}, {7.171370614359173, 1.37}, { 7.270370614359172, 1.324}, {7.3723706143591725`, 1.272}, { 7.475370614359172, 1.214}, {7.5823706143591725`, 1.151}, { 7.6913706143591725`, 1.081}, {7.802370614359172, 1.005}, { 7.915370614359173, 0.922}, {8.031370614359172, 0.833}, { 8.149370614359173, 0.738}, {8.268370614359172, 0.637}, { 8.390370614359172, 0.53}, {8.513370614359172, 0.418}, { 8.637370614359172, 0.301}, {8.763370614359172, 0.179}, { 8.890370614359172, 0.054}, {9.017370614359173, -0.075}, { 9.145370614359173, -0.206}, {9.274370614359173, -0.339}, { 9.402370614359173, -0.473}, {9.530370614359173, -0.608}, { 9.658370614359173, -0.742}, {9.785370614359172, -0.874}, { 9.911370614359173, -1.005}, {10.036370614359173`, -1.133}, { 10.159370614359172`, -1.258}, {10.281370614359172`, -1.379}, { 10.402370614359173`, -1.495}, {10.520370614359173`, -1.607}, { 10.637370614359172`, -1.714}, {10.751370614359173`, -1.815}, { 10.863370614359173`, -1.911}, {10.972370614359173`, -2.001}, { 11.079370614359172`, -2.086}, {11.184370614359173`, -2.165}, { 11.286370614359173`, -2.238}, {11.386370614359173`, -2.306}, { 11.482370614359173`, -2.369}, {11.577370614359172`, -2.426}, { 11.668370614359173`, -2.478}, {11.757370614359173`, -2.526}, { 11.844370614359173`, -2.569}, {12.036370614359173`, -2.653}, { 12.405370614359173`, -2.768}, {12.719370614359173`, -2.817}, { 12.988370614359173`, -2.822}, {13.217370614359172`, -2.799}, { 13.413370614359172`, -2.76}, {13.582370614359172`, -2.71}, { 13.727370614359172`, -2.654}, {13.852370614359172`, -2.596}, { 13.959370614359173`, -2.537}, {14.053370614359173`, -2.477}, { 14.133370614359173`, -2.418}, {14.203370614359173`, -2.359}, { 14.383370614359173`, -2.154}, {14.499370614359172`, -1.894}, { 14.523370614359173`, -1.655}, {14.490370614359172`, -1.43}, { 14.478370614359171`, -1.388}, {14.462370614359173`, -1.337}, { 14.439370614359172`, -1.272}, {14.405370614359173`, -1.191}, { 14.357370614359173`, -1.091}, {14.289370614359173`, -0.97}, { 14.195370614359172`, -0.826}, {14.066370614359172`, -0.659}, { 13.896370614359173`, -0.476}, {13.681370614359173`, -0.285}, { 13.419370614359172`, -0.104}, {13.116370614359173`, 0.048}, { 12.784370614359172`, 0.159}, {12.439370614359172`, 0.233}, { 12.102370614359172`, 0.299}, {11.808370614359173`, 0.41}, { 11.647370614359172`, 0.681}, {11.656370614359172`, 0.727}, { 11.680370614359173`, 0.789}, {11.734370614359172`, 0.874}, { 11.849370614359172`, 0.993}, {12.094370614359173`, 1.154}, { 12.293370614359173`, 1.237}, {12.402370614359173`, 1.269}, { 12.532370614359172`, 1.296}, {12.688370614359172`, 1.314}, { 12.876370614359173`, 1.314}, {13.103370614359173`, 1.287}, { 13.381370614359172`, 1.215}, {13.722370614359173`, 1.071}, { 13.906370614359172`, 0.97}, {13.990370614359172`, 0.919}, { 14.077370614359172`, 0.862}, {14.168370614359173`, 0.8}, { 14.263370614359172`, 0.732}, {14.361370614359172`, 0.658}, { 14.463370614359173`, 0.578}, {14.569370614359173`, 0.49}, { 14.679370614359172`, 0.396}, {14.793370614359173`, 0.294}, { 14.911370614359173`, 0.186}, {15.033370614359173`, 0.07}, { 15.159370614359172`, -0.052}, {15.288370614359172`, -0.181}, { 15.421370614359173`, -0.316}, {15.558370614359173`, -0.457}, { 15.698370614359172`, -0.602}, {15.841370614359173`, -0.752}, { 15.987370614359172`, -0.905}, {16.136370614359173`, -1.059}, { 16.28637061435917, -1.214}, {16.439370614359174`, -1.369}, { 16.593370614359173`, -1.522}, {16.747370614359173`, -1.671}, { 16.90237061435917, -1.817}, {17.057370614359172`, -1.956}, { 17.212370614359173`, -2.089}, {17.366370614359173`, -2.214}, { 17.51837061435917, -2.331}, {17.669370614359174`, -2.439}, { 17.81837061435917, -2.538}, {17.965370614359173`, -2.627}, { 18.108370614359174`, -2.707}, {18.249370614359172`, -2.776}, { 18.38737061435917, -2.837}, {18.52137061435917, -2.889}, { 18.65237061435917, -2.932}, {18.779370614359173`, -2.968}, { 18.94537061435917, -3.004}, {18.991370614359173`, -3.012}, { 19.048370614359172`, -3.021}, {19.120370614359175`, -3.031}, { 19.21037061435917, -3.04}, {19.322370614359173`, -3.047}, { 19.458370614359172`, -3.049}, {19.622370614359173`, -3.044}, { 19.817370614359174`, -3.026}, {20.043370614359173`, -2.99}, { 20.297370614359174`, -2.935}, {20.57737061435917, -2.858}, { 20.871370614359172`, -2.763}, {21.171370614359173`, -2.654}, { 21.461370614359172`, -2.538}, {21.729370614359173`, -2.416}, { 21.96337061435917, -2.289}, {22.157370614359174`, -2.157}, { 22.39137061435917, -1.998}, {22.425370614359174`, -1.986}, { 22.46937061435917, -1.976}, {22.529370614359173`, -1.975}, { 22.615370614359172`, -1.991}, {22.744370614359173`, -2.044}, { 22.947370614359173`, -2.165}, {23.270370614359173`, -2.395}, { 23.306370614359174`, -2.421}, {23.35337061435917, -2.456}, { 23.416370614359174`, -2.502}, {23.499370614359172`, -2.563}, { 23.611370614359174`, -2.642}, {23.761370614359173`, -2.747}, { 23.964370614359172`, -2.882}, {24.239370614359174`, -3.047}, { 24.60937061435917, -3.234}, {24.693370614359175`, -3.27}, { 24.782370614359174`, -3.306}, {24.87537061435917, -3.34}, { 24.974370614359174`, -3.373}, {25.07637061435917, -3.405}, { 25.183370614359173`, -3.433}, {25.29537061435917, -3.46}, { 25.456370614359173`, -3.49}, {25.501370614359175`, -3.497}, { 25.559370614359175`, -3.506}, {25.633370614359173`, -3.515}, { 25.727370614359174`, -3.524}, {25.845370614359172`, -3.532}, { 25.994370614359173`, -3.538}, {26.179370614359172`, -3.538}, { 26.406370614359172`, -3.53}, {26.681370614359174`, -3.511}, { 27.005370614359173`, -3.482}, {27.380370614359173`, -3.453}, { 27.543370614359173`, -3.445}, {27.587370614359173`, -3.443}, { 27.644370614359172`, -3.441}, {27.714370614359172`, -3.44}, { 27.802370614359173`, -3.44}, {27.912370614359173`, -3.442}, { 28.046370614359173`, -3.448}, {28.209370614359173`, -3.461}, { 28.40537061435917, -3.484}, {28.63837061435917, -3.524}, { 28.87337061435917, -3.577}, {28.91437061435917, -3.588}, { 28.96637061435917, -3.601}, {29.031370614359172`, -3.619}, { 29.112370614359172`, -3.642}, {29.212370614359173`, -3.672}, { 29.33537061435917, -3.71}, {29.485370614359173`, -3.76}, { 29.66437061435917, -3.82}, {29.831370614359173`, -3.878}, { 29.87637061435917, -3.893}, {29.932370614359172`, -3.913}, { 30.003370614359174`, -3.937}, {30.090370614359173`, -3.966}, { 30.197370614359173`, -4.001}, {30.326370614359174`, -4.043}, { 30.52437061435917, -4.101}, {30.564370614359174`, -4.113}, { 30.61437061435917, -4.126}, {30.676370614359172`, -4.142}, { 30.752370614359172`, -4.161}, {30.843370614359173`, -4.182}, { 31.052370614359173`, -4.223}, {31.089370614359172`, -4.229}, { 31.133370614359173`, -4.236}, {31.18737061435917, -4.243}, { 31.250370614359174`, -4.251}, {31.441370614359172`, -4.264}, { 31.474370614359174`, -4.265}, {31.512370614359174`, -4.265}, { 31.640370614359174`, -4.243}, {31.45737061435917, -4.144}, { 31.29237061435917, -4.088}, {31.238370614359173`, -4.069}, { 31.058370614359173`, -4.005}, {31.019370614359172`, -3.99}, { 30.967370614359172`, -3.97}, {30.898370614359173`, -3.943}, { 30.71037061435917, -3.866}, {30.672370614359174`, -3.85}, { 30.624370614359172`, -3.828}, {30.560370614359172`, -3.8}, { 30.47837061435917, -3.763}, {30.28637061435917, -3.674}, { 30.250370614359174`, -3.657}, {30.204370614359174`, -3.635}, { 30.145370614359173`, -3.607}, {30.069370614359173`, -3.57}, { 29.971370614359174`, -3.523}, {29.787370614359173`, -3.436}, { 29.74537061435917, -3.416}, {29.692370614359174`, -3.392}, { 29.62337061435917, -3.361}, {29.535370614359174`, -3.322}, { 29.421370614359173`, -3.274}, {29.26337061435917, -3.212}, { 29.218370614359173`, -3.196}, {29.159370614359172`, -3.175}, { 29.084370614359173`, -3.15}, {28.985370614359173`, -3.12}, { 28.857370614359173`, -3.086}, {28.689370614359174`, -3.049}, { 28.639370614359173`, -3.04}, {28.575370614359173`, -3.029}, { 28.492370614359174`, -3.018}, {28.38137061435917, -3.006}, { 28.232370614359173`, -2.997}, {28.014370614359173`, -2.995}, { 27.968370614359173`, -2.996}, {27.907370614359174`, -2.998}, { 27.82737061435917, -3.003}, {27.721370614359174`, -3.011}, { 27.578370614359173`, -3.026}, {27.38137061435917, -3.052}, { 27.07037061435917, -3.1}, {27.03037061435917, -3.107}, { 26.977370614359174`, -3.115}, {26.907370614359174`, -3.127}, { 26.81437061435917, -3.141}, {26.69237061435917, -3.16}, { 26.526370614359173`, -3.183}, {26.300370614359174`, -3.208}, { 25.986370614359174`, -3.225}, {25.678370614359174`, -3.217}, { 25.494370614359173`, -3.199}, {25.450370614359173`, -3.193}, { 25.39337061435917, -3.184}, {25.319370614359173`, -3.17}, { 25.22237061435917, -3.15}, {25.095370614359172`, -3.118}, { 24.928370614359174`, -3.067}, {24.708370614359172`, -2.983}, { 24.419370614359174`, -2.845}, {24.150370614359172`, -2.688}, { 24.07037061435917, -2.636}, {23.986370614359174`, -2.579}, { 23.897370614359172`, -2.517}, {23.804370614359172`, -2.448}, { 23.705370614359172`, -2.373}, {23.60337061435917, -2.291}, { 23.496370614359172`, -2.202}, {23.38437061435917, -2.106}, { 23.267370614359173`, -2.003}, {23.14137061435917, -1.888}, { 23.10637061435917, -1.855}, {23.06137061435917, -1.812}, { 23.00337061435917, -1.757}, {22.929370614359172`, -1.686}, { 22.837370614359173`, -1.597}, {22.718370614359173`, -1.479}, { 22.569370614359173`, -1.328}, {22.38437061435917, -1.139}, { 22.15837061435917, -0.907}, {21.886370614359173`, -0.629}, { 21.659370614359172`, -0.401}, {21.596370614359174`, -0.338}, { 21.53037061435917, -0.275}, {21.464370614359172`, -0.211}, { 21.39637061435917, -0.147}, {21.32737061435917, -0.083}, { 21.257370614359175`, -0.019}, {21.101370614359173`, 0.119}, { 21.071370614359175`, 0.145}, {21.03337061435917, 0.177}, { 20.986370614359174`, 0.216}, {20.928370614359174`, 0.263}, { 20.85637061435917, 0.319}, {20.770370614359173`, 0.385}, { 20.66737061435917, 0.459}, {20.547370614359174`, 0.539}, { 20.412370614359173`, 0.62}, {20.26637061435917, 0.695}, { 20.066370614359172`, 0.772}, {20.032370614359174`, 0.781}, { 19.991370614359173`, 0.79}, {19.94637061435917, 0.798}, { 19.897370614359172`, 0.801}, {19.849370614359174`, 0.798}, { 19.930370614359173`, 0.505}, {20.057370614359172`, 0.395}, { 20.194370614359173`, 0.286}, {20.437370614359175`, 0.106}, { 20.571370614359175`, 0}, {20.70437061435917, -0.117}, { 20.830370614359172`, -0.242}, {20.860370614359173`, -0.274}, { 20.977370614359174`, -0.409}, {21.00337061435917, -0.442}, { 21.037370614359173`, -0.486}, {21.145370614359173`, -0.636}, { 21.172370614359174`, -0.676}, {21.205370614359172`, -0.729}, { 21.296370614359173`, -0.883}, {21.318370614359175`, -0.922}, { 21.34437061435917, -0.974}, {21.376370614359175`, -1.042}, { 21.440370614359175`, -1.194}, {21.456370614359173`, -1.238}, { 21.474370614359174`, -1.296}, {21.495370614359175`, -1.372}, { 21.52437061435917, -1.538}, {21.528370614359172`, -1.586}, { 21.529370614359173`, -1.647}, {21.52437061435917, -1.727}, { 21.488370614359173`, -1.887}, {21.471370614359174`, -1.933}, { 21.44237061435917, -1.992}, {21.39637061435917, -2.069}, { 21.26637061435917, -2.223}, {21.22837061435917, -2.259}, { 21.173370614359172`, -2.306}, {21.093370614359173`, -2.368}, { 20.97237061435917, -2.451}, {20.730370614359174`, -2.587}, { 20.691370614359172`, -2.606}, {20.64037061435917, -2.63}, { 20.569370614359173`, -2.662}, {20.471370614359174`, -2.704}, { 20.33237061435917, -2.758}, {20.125370614359174`, -2.825}, { 19.806370614359174`, -2.901}, {19.59737061435917, -2.931}, { 19.493370614359172`, -2.939}, {19.377370614359172`, -2.944}, { 19.249370614359172`, -2.943}, {19.047370614359174`, -2.929}, { 19.000370614359174`, -2.923}, {18.94037061435917, -2.914}, { 18.85937061435917, -2.9}, {18.752370614359172`, -2.876}, { 18.607370614359173`, -2.837}, {18.409370614359172`, -2.769}, { 18.13537061435917, -2.648}, {17.865370614359172`, -2.499}, { 17.781370614359172`, -2.447}, {17.692370614359174`, -2.388}, { 17.596370614359174`, -2.322}, {17.493370614359172`, -2.247}, { 17.38237061435917, -2.163}, {17.26337061435917, -2.069}, { 17.136370614359173`, -1.962}, {17.000370614359174`, -1.844}, { 16.854370614359173`, -1.711}, {16.69837061435917, -1.564}, { 16.532370614359174`, -1.401}, {16.354370614359173`, -1.223}, { 16.166370614359174`, -1.03}, {15.967370614359172`, -0.822}, { 15.757370614359171`, -0.602}, {15.536370614359173`, -0.372}, { 15.307370614359172`, -0.136}, {15.070370614359172`, 0.102}, { 14.825370614359173`, 0.336}, {14.575370614359173`, 0.56}, { 14.322370614359173`, 0.767}, {14.068370614359173`, 0.954}, { 13.849370614359172`, 1.095}, {13.812370614359173`, 1.117}, { 13.764370614359173`, 1.144}, {13.704370614359172`, 1.177}, { 13.627370614359172`, 1.217}, {13.531370614359172`, 1.263}, { 13.413370614359172`, 1.314}, {13.265370614359172`, 1.368}, { 13.085370614359173`, 1.42}, {12.869370614359173`, 1.461}, { 12.615370614359172`, 1.48}, {12.324370614359172`, 1.463}, { 11.999370614359172`, 1.398}, {11.647370614359172`, 1.284}, { 11.274370614359173`, 1.129}, {10.881370614359172`, 0.965}, { 10.595370614359172`, 0.872}, {10.566370614359172`, 0.865}, { 10.549370614359173`, 0.862}, {10.273370614359173`, 0.821}, { 9.958370614359172, 0.839}, {9.714370614359172, 0.899}, { 9.523370614359173, 0.97}, {9.373370614359173, 1.039}, { 9.254370614359173, 1.099}, {9.162370614359173, 1.15}, { 9.089370614359172, 1.192}, {9.032370614359174, 1.226}, { 8.988370614359173, 1.252}, {8.953370614359173, 1.273}, { 8.604370614359173, 1.496}, {8.325370614359173, 1.677}, { 8.109370614359172, 1.813}, {7.944370614359173, 1.912}, { 7.817370614359173, 1.984}, {7.720370614359172, 2.037}, { 7.645370614359172, 2.076}, {7.588370614359173, 2.104}, { 7.544370614359172, 2.125}, {7.392370614359172, 2.193}, { 7.109370614359173, 2.297}, {6.911370614359172, 2.349}, { 6.7713706143591725`, 2.374}, {6.672370614359172, 2.385}, { 6.600370614359172, 2.389}, {6.548370614359173, 2.389}, { 6.337370614359172, 2.369}, {6.224370614359173, 2.341}, { 6.1463706143591725`, 2.315}, {6.085370614359173, 2.293}, { 6.034370614359172, 2.276}, {5.990370614359173, 2.262}, { 5.952370614359173, 2.252}, {5.920370614359173, 2.244}, { 5.588370614359173, 2.182}, {5.256370614359173, 2.127}, { 4.907370614359173, 2.072}, {4.578370614359172, 2.034}, { 4.289370614359173, 2.024}, {4.045370614359172, 2.041}, { 3.8453706143591724`, 2.074}, {3.684370614359173, 2.116}, { 3.557370614359172, 2.157}, {3.4573706143591725`, 2.196}, { 3.3803706143591725`, 2.229}, {3.3193706143591726`, 2.258}, { 3.273370614359173, 2.281}, {3.237370614359172, 2.3}, { 3.0003706143591717`, 2.44}, {2.8543706143591727`, 2.545}, { 2.7423706143591726`, 2.642}, {2.6753706143591724`, 2.796}, { 2.7613706143591727`, 2.815}, {2.9363706143591717`, 2.803}, { 3.2203706143591724`, 2.771}, {3.514370614359173, 2.748}, { 3.6093706143591717`, 2.745}, {3.7123706143591733`, 2.744}, { 3.8223706143591727`, 2.745}, {3.9413706143591725`, 2.75}, { 4.069370614359173, 2.759}, {4.208370614359172, 2.771}, { 4.358370614359172, 2.789}, {4.522370614359172, 2.811}, { 4.701370614359172, 2.837}, {4.8963706143591725`, 2.866}, { 5.110370614359172, 2.896}, {5.346370614359173, 2.923}, { 5.607370614359173, 2.941}, {5.895370614359172, 2.944}, { 6.214370614359172, 2.919}, {6.5663706143591725`, 2.853}, { 6.951370614359172, 2.735}, {7.141370614359173, 2.658}, { 7.225370614359172, 2.621}, {7.310370614359172, 2.581}, { 7.3963706143591725`, 2.538}, {7.483370614359172, 2.493}, { 7.572370614359173, 2.445}, {7.661370614359172, 2.395}, { 7.751370614359172, 2.342}, {7.842370614359172, 2.288}, { 7.934370614359173, 2.231}, {8.027370614359173, 2.172}, { 8.121370614359172, 2.111}, {8.215370614359173, 2.05}, { 8.310370614359172, 1.986}, {8.405370614359173, 1.923}, { 8.501370614359171, 1.858}, {8.597370614359173, 1.794}, { 8.693370614359171, 1.73}, {8.790370614359173, 1.666}, { 8.887370614359172, 1.604}, {8.984370614359172, 1.543}, { 9.081370614359173, 1.483}, {9.178370614359173, 1.427}, { 9.276370614359173, 1.372}, {9.373370614359173, 1.322}, { 9.472370614359173, 1.274}, {9.570370614359172, 1.231}, { 9.669370614359172, 1.192}, {9.768370614359172, 1.158}, { 9.869370614359173, 1.13}, {9.970370614359172, 1.107}, { 10.073370614359172`, 1.09}, {10.177370614359173`, 1.079}, { 10.284370614359172`, 1.075}, {10.393370614359172`, 1.079}, { 10.505370614359173`, 1.089}, {10.622370614359173`, 1.107}, { 10.743370614359172`, 1.133}, {10.870370614359173`, 1.166}, { 11.000370614359172`, 1.204}, {11.143370614359172`, 1.251}, { 11.296370614359173`, 1.303}, {11.461370614359172`, 1.359}, { 11.641370614359172`, 1.417}, {11.839370614359172`, 1.474}, { 12.057370614359172`, 1.523}, {12.300370614359172`, 1.557}, { 4 Pi, 1.566}, {12.870370614359173`, 1.537}, {13.210370614359173`, 1.454}, {13.589370614359172`, 1.297}, {13.669370614359172`, 1.255}, { 13.751370614359173`, 1.21}, {13.835370614359173`, 1.16}, { 13.920370614359172`, 1.107}, {14.007370614359173`, 1.05}, { 14.095370614359172`, 0.989}, {14.185370614359172`, 0.924}, { 14.277370614359173`, 0.855}, {14.369370614359173`, 0.781}, { 14.463370614359173`, 0.704}, {14.558370614359173`, 0.624}, { 14.654370614359173`, 0.539}, {14.752370614359172`, 0.451}, { 14.850370614359171`, 0.36}, {14.949370614359172`, 0.266}, { 15.049370614359173`, 0.169}, {15.150370614359172`, 0.069}, { 15.252370614359172`, -0.033}, {15.353370614359171`, -0.136}, { 15.455370614359172`, -0.241}, {15.558370614359173`, -0.348}, { 15.660370614359172`, -0.455}, {15.762370614359172`, -0.562}, { 15.865370614359172`, -0.669}, {15.966370614359173`, -0.776}, { 16.06837061435917, -0.882}, {16.169370614359174`, -0.986}, { 16.269370614359172`, -1.09}, {16.369370614359173`, -1.191}, { 16.467370614359172`, -1.29}, {16.56537061435917, -1.386}, { 16.66137061435917, -1.48}, {16.75737061435917, -1.571}, { 16.851370614359173`, -1.659}, {16.944370614359173`, -1.744}, { 17.03637061435917, -1.825}, {17.12637061435917, -1.903}, { 17.215370614359173`, -1.977}, {17.302370614359173`, -2.047}, { 17.38737061435917, -2.114}, {17.471370614359174`, -2.177}, { 17.554370614359172`, -2.237}, {17.63537061435917, -2.293}, { 17.714370614359172`, -2.345}, {17.990370614359172`, -2.51}, { 18.33237061435917, -2.669}, {18.63437061435917, -2.768}, { 18.90237061435917, -2.821}, {19.13837061435917, -2.841}, { 19.346370614359174`, -2.837}, {19.53037061435917, -2.817}, { 19.69337061435917, -2.786}, {19.837370614359173`, -2.747}, { 19.965370614359173`, -2.705}, {20.07937061435917, -2.66}, { 20.181370614359174`, -2.612}, {20.272370614359172`, -2.565}, { 20.52737061435917, -2.393}, {20.741370614359173`, -2.171}, { 20.85337061435917, -1.966}, {20.901370614359173`, -1.774}, { 20.906370614359172`, -1.592}, {20.880370614359173`, -1.42}, { 20.833370614359172`, -1.258}, {20.77137061435917, -1.104}, { 20.69937061435917, -0.96}, {20.620370614359175`, -0.826}, { 20.537370614359173`, -0.7}, {20.45137061435917, -0.584}, { 20.364370614359174`, -0.477}, {20.278370614359172`, -0.379}, { 20.192370614359174`, -0.288}, {20.108370614359174`, -0.206}, { 20.026370614359173`, -0.13}, {19.94637061435917, -0.062}, { 19.869370614359173`, 0.001}, {19.69937061435917, 0.126}, { 19.38537061435917, 0.321}, {19.14037061435917, 0.455}, { 18.956370614359173`, 0.559}, {18.828370614359173`, 0.653}, { 18.753370614359174`, 0.746}, {18.729370614359173`, 0.84}, { 18.761370614359173`, 0.935}, {18.854370614359173`, 1.027}, { 19.017370614359173`, 1.103}, {19.26637061435917, 1.143}, { 19.621370614359172`, 1.106}, {19.706370614359173`, 1.084}, { 19.797370614359174`, 1.056}, {19.89337061435917, 1.02}, { 19.995370614359175`, 0.977}, {20.10337061435917, 0.925}, { 20.217370614359172`, 0.864}, {20.33837061435917, 0.793}, { 20.465370614359173`, 0.71}, {20.598370614359172`, 0.616}, { 20.738370614359173`, 0.51}, {20.885370614359175`, 0.392}, { 21.038370614359174`, 0.261}, {21.197370614359173`, 0.118}, { 21.362370614359172`, -0.037}, {21.532370614359174`, -0.203}, { 21.708370614359172`, -0.378}, {21.88737061435917, -0.562}, { 22.071370614359175`, -0.752}, {22.257370614359175`, -0.946}, { 22.446370614359175`, -1.141}, {22.635370614359175`, -1.336}, { 22.82637061435917, -1.526}, {23.01537061435917, -1.711}, { 23.203370614359173`, -1.887}, {23.389370614359173`, -2.054}, { 23.572370614359173`, -2.208}, {23.752370614359172`, -2.351}, { 23.927370614359173`, -2.48}, {24.098370614359172`, -2.595}, { 24.264370614359173`, -2.697}, {24.424370614359173`, -2.786}, { 24.57937061435917, -2.862}, {24.72837061435917, -2.927}, { 24.87237061435917, -2.981}, {25.00937061435917, -3.025}, { 25.142370614359173`, -3.061}, {25.269370614359172`, -3.088}, { 25.39137061435917, -3.109}, {25.507370614359175`, -3.124}, { 25.619370614359173`, -3.134}, {25.72537061435917, -3.139}, { 25.828370614359173`, -3.141}, {25.926370614359172`, -3.14}, { 26.019370614359172`, -3.136}, {26.434370614359175`, -3.091}, { 26.772370614359172`, -3.03}, {27.051370614359172`, -2.97}, { 27.284370614359172`, -2.918}, {27.48137061435917, -2.875}, { 27.651370614359173`, -2.841}, {27.798370614359172`, -2.815}, { 27.928370614359174`, -2.794}, {28.04237061435917, -2.779}, { 28.144370614359172`, -2.767}, {28.44937061435917, -2.751}, { 28.737370614359172`, -2.765}, {28.939370614359174`, -2.795}, { 29.090370614359173`, -2.831}, {29.205370614359172`, -2.865}, { 29.29537061435917, -2.896}, {29.365370614359172`, -2.922}, { 29.42037061435917, -2.944}, {29.46337061435917, -2.962}, { 29.61737061435917, -3.031}, {29.758370614359173`, -3.099}, { 29.901370614359173`, -3.171}, {30.050370614359174`, -3.248}, { 30.20237061435917, -3.326}, {30.360370614359173`, -3.406}, { 30.52137061435917, -3.484}, {30.68737061435917, -3.56}, { 30.85637061435917, -3.631}, {31.028370614359172`, -3.697}, { 31.20237061435917, -3.756}, {31.377370614359172`, -3.808}, { 31.552370614359173`, -3.851}, {31.727370614359174`, -3.887}, { 31.900370614359172`, -3.914}, {32.07137061435917, -3.935}, { 32.23837061435917, -3.95}, {32.403370614359176`, -3.959}, { 32.56437061435918, -3.964}, {32.72037061435917, -3.967}, { 32.87237061435917, -3.968}, {33.019370614359175`, -3.968}, { 33.162370614359176`, -3.968}, {33.300370614359174`, -3.968}, { 33.43437061435917, -3.97}, {33.56237061435917, -3.974}, { 33.68737061435917, -3.98}, {33.80637061435917, -3.987}, { 33.922370614359174`, -3.997}, {34.03337061435917, -4.01}, { 34.14037061435917, -4.024}, {34.24337061435917, -4.041}, { 34.34237061435917, -4.059}, {34.43737061435917, -4.079}, { 34.528370614359176`, -4.101}, {34.92837061435917, -4.223}, { 35.230370614359174`, -4.347}, {35.43037061435918, -4.45}, { 35.42637061435917, -4.542}, {35.18237061435917, -4.504}, { 34.894370614359175`, -4.455}, {34.797370614359174`, -4.44}, { 34.69337061435917, -4.425}, {34.58037061435917, -4.412}, { 34.45937061435917, -4.399}, {34.32837061435917, -4.389}, { 34.18737061435917, -4.381}, {34.03637061435917, -4.377}, { 33.873370614359175`, -4.377}, {33.70037061435917, -4.381}, { 33.51437061435917, -4.389}, {33.31537061435917, -4.401}, { 33.102370614359174`, -4.417}, {32.87437061435917, -4.434}, { 32.63137061435917, -4.45}, {32.37237061435917, -4.461}, { 32.096370614359174`, -4.464}, {31.80337061435917, -4.453}, { 31.493370614359172`, -4.422}, {31.165370614359173`, -4.368}, { 30.81837061435917, -4.287}, {30.450370614359173`, -4.177}, { 30.060370614359172`, -4.042}, {29.756370614359174`, -3.931}, { 29.671370614359173`, -3.9}, {29.584370614359173`, -3.868}, { 29.49537061435917, -3.836}, {29.406370614359172`, -3.805}, { 29.314370614359174`, -3.773}, {29.220370614359172`, -3.742}, { 29.125370614359174`, -3.711}, {29.028370614359172`, -3.682}, { 28.92837061435917, -3.653}, {28.82737061435917, -3.626}, { 28.723370614359172`, -3.6}, {28.61737061435917, -3.576}, { 28.508370614359173`, -3.555}, {28.39637061435917, -3.535}, { 28.28037061435917, -3.519}, {28.16137061435917, -3.505}, { 28.03937061435917, -3.494}, {27.912370614359173`, -3.487}, { 27.781370614359172`, -3.483}, {27.64637061435917, -3.483}, { 27.505370614359173`, -3.486}, {27.360370614359173`, -3.492}, { 27.208370614359172`, -3.502}, {27.051370614359172`, -3.513}, { 26.88837061435917, -3.526}, {26.71937061435917, -3.54}, { 26.543370614359173`, -3.552}, {26.362370614359172`, -3.562}, { 26.174370614359173`, -3.567}, {25.980370614359174`, -3.565}, { 25.781370614359172`, -3.555}, {25.578370614359173`, -3.534}, { 25.37237061435917, -3.501}, {25.163370614359174`, -3.454}, { 24.955370614359172`, -3.393}, {24.74737061435917, -3.317}, { 24.543370614359173`, -3.229}, {24.343370614359173`, -3.13}, { 24.150370614359172`, -3.023}, {23.964370614359172`, -2.91}, { 23.788370614359174`, -2.796}, {23.62237061435917, -2.682}, { 23.467370614359172`, -2.573}, {23.32437061435917, -2.471}, { 23.19237061435917, -2.378}, {23.072370614359173`, -2.295}, { 22.96337061435917, -2.225}, {22.865370614359172`, -2.166}, { 22.672370614359174`, -2.079}, {22.357370614359173`, -2.103}, { 22.19937061435917, -2.193}, {22.116370614359173`, -2.244}, { 22.01637061435917, -2.301}, {21.892370614359173`, -2.366}, { 21.738370614359173`, -2.44}, {21.541370614359174`, -2.525}, { 21.284370614359172`, -2.626}, {20.950370614359173`, -2.748}, { 20.75337061435917, -2.813}, {20.659370614359172`, -2.843}, { 20.559370614359175`, -2.873}, {20.45137061435917, -2.903}, { 20.337370614359173`, -2.933}, {20.21337061435917, -2.962}, { 20.081370614359173`, -2.99}, {19.939370614359174`, -3.015}, { 19.787370614359173`, -3.035}, {19.622370614359173`, -3.049}, { 19.44537061435917, -3.055}, {19.255370614359173`, -3.048}, { 19.050370614359174`, -3.026}, {18.82937061435917, -2.984}, { 18.593370614359173`, -2.917}, {18.340370614359173`, -2.821}, { 18.072370614359173`, -2.69}, {17.788370614359174`, -2.522}, { 17.491370614359173`, -2.314}, {17.182370614359172`, -2.067}, { 16.864370614359174`, -1.784}, {16.627370614359172`, -1.558}, { 16.56237061435917, -1.495}, {16.497370614359173`, -1.43}, { 16.432370614359172`, -1.365}, {16.367370614359174`, -1.299}, { 16.302370614359173`, -1.233}, {16.237370614359172`, -1.167}, { 16.172370614359174`, -1.1}, {16.108370614359174`, -1.033}, { 16.043370614359173`, -0.966}, {15.979370614359173`, -0.899}, { 15.915370614359173`, -0.832}, {15.851370614359173`, -0.765}, { 15.788370614359172`, -0.699}, {15.725370614359171`, -0.633}, { 15.662370614359173`, -0.567}, {15.354370614359173`, -0.251}, { 15.059370614359173`, 0.042}, {14.778370614359172`, 0.305}, { 14.514370614359173`, 0.532}, {14.267370614359173`, 0.725}, { 14.038370614359172`, 0.884}, {13.826370614359172`, 1.011}, { 13.630370614359173`, 1.11}, {13.451370614359172`, 1.185}, { 13.286370614359173`, 1.239}, {13.135370614359172`, 1.275}, { 12.997370614359172`, 1.297}, {12.870370614359173`, 1.307}, { 12.755370614359173`, 1.308}, {12.649370614359173`, 1.302}, { 12.551370614359172`, 1.289}, {12.176370614359172`, 1.177}, { 11.936370614359172`, 1.037}, {11.790370614359173`, 0.9}, { 11.713370614359173`, 0.777}, {11.690370614359173`, 0.667}, { 11.711370614359172`, 0.571}, {11.770370614359173`, 0.488}, { 11.865370614359172`, 0.418}, {11.992370614359173`, 0.36}, { 12.153370614359172`, 0.312}, {12.350370614359173`, 0.269}, { 12.587370614359173`, 0.221}, {12.872370614359172`, 0.148}, { 13.212370614359173`, 0.018}, {13.391370614359172`, -0.077}, { 13.472370614359173`, -0.126}, {13.555370614359173`, -0.182}, { 13.640370614359172`, -0.244}, {13.727370614359172`, -0.313}, { 13.816370614359172`, -0.389}, {13.905370614359173`, -0.474}, { 13.994370614359173`, -0.568}, {14.083370614359172`, -0.67}, { 14.171370614359173`, -0.782}, {14.255370614359173`, -0.904}, { 14.333370614359172`, -1.034}, {14.404370614359173`, -1.175}, { 14.464370614359172`, -1.324}, {14.507370614359173`, -1.484}, { 14.528370614359172`, -1.652}, {14.517370614359173`, -1.83}, { 14.461370614359172`, -2.02}, {14.338370614359173`, -2.221}, { 14.112370614359172`, -2.437}, {13.955370614359172`, -2.542}, { 13.874370614359172`, -2.587}, {13.783370614359173`, -2.631}, { 13.682370614359172`, -2.674}, {13.569370614359173`, -2.716}, { 13.443370614359173`, -2.753}, {13.300370614359172`, -2.786}, { 13.141370614359172`, -2.811}, {12.961370614359172`, -2.824}, { 12.758370614359173`, -2.82}, {12.530370614359173`, -2.793}, { 12.273370614359173`, -2.734}, {11.983370614359172`, -2.632}, { 11.658370614359173`, -2.473}, {11.397370614359172`, -2.314}, { 11.322370614359173`, -2.264}, {11.246370614359172`, -2.21}, { 11.168370614359173`, -2.154}, {11.089370614359172`, -2.094}, { 11.009370614359172`, -2.031}, {10.927370614359173`, -1.965}, { 10.843370614359172`, -1.895}, {10.759370614359172`, -1.822}, { 10.673370614359172`, -1.746}, {10.585370614359173`, -1.667}, { 10.497370614359173`, -1.586}, {10.407370614359174`, -1.501}, { 10.317370614359172`, -1.413}, {10.223370614359172`, -1.322}, { 10.131370614359172`, -1.229}, {10.037370614359173`, -1.135}, { 9.943370614359171, -1.038}, {9.848370614359172, -0.94}, { 9.752370614359172, -0.841}, {9.656370614359172, -0.74}, { 9.560370614359172, -0.639}, {9.463370614359173, -0.538}, { 9.366370614359173, -0.436}, {9.269370614359172, -0.335}, { 9.172370614359172, -0.234}, {9.075370614359173, -0.134}, { 8.978370614359171, -0.036}, {8.882370614359171, 0.061}, { 8.786370614359173, 0.156}, {8.691370614359172, 0.249}, { 8.597370614359173, 0.339}, {8.503370614359174, 0.427}}, {{-2.565629385640827, 1.583}, {-2.6966293856408274`, 1.62}, {-2.8276293856408277`, 1.665}, {-2.9596293856408273`, 1.719}, {-3.0936293856408277`, 1.781}, {-3.2286293856408275`, 1.85}, {-3.3646293856408267`, 1.927}, {-3.5026293856408266`, 2.01}, {-3.641629385640826, 2.099}, {-3.7826293856408277`, 2.193}, {-3.924629385640827, 2.29}, {-4.067629385640828, 2.39}, {-4.210629385640829, 2.492}, {-4.356629385640826, 2.595}, {-4.500629385640828, 2.696}, {-4.643629385640828, 2.796}, {-4.785629385640828, 2.893}, {-4.926629385640826, 2.986}, {-5.064629385640828, 3.075}, {-5.200629385640827, 3.159}, {-5.3326293856408284`, 3.238}, {-5.460629385640829, 3.312}, {-5.583629385640826, 3.38}, {-5.700629385640827, 3.442}, {-5.811629385640828, 3.5}, {-5.914629385640829, 3.553}, {-6.008629385640827, 3.602}, {-6.093629385640828, 3.647}, {-6.296629385640827, 3.786}, {-6.112629385640826, 3.907}, {-5.9676293856408265`, 3.906}, {-5.766629385640826, 3.885}, {-5.496629385640826, 3.83}, {-5.140629385640828, 3.723}, {-4.939629385640828, 3.65}, {-4.845629385640827, 3.614}, {-4.747629385640828, 3.574}, {-4.643629385640828, 3.532}, {-4.535629385640828, 3.486}, {-4.420629385640826, 3.437}, {-4.300629385640828, 3.385}, {-4.174629385640827, 3.331}, {-4.042629385640829, 3.276}, {-3.9036293856408264`, 3.218}, {-3.756629385640828, 3.161}, {-3.6036293856408292`, 3.105}, {-3.4416293856408267`, 3.051}, {-3.2706293856408273`, 3.}, {-3.089629385640828, 2.956}, {-2.897629385640828, 2.919}, {-2.6936293856408273`, 2.892}, {-2.4736293856408267`, 2.876}, {-2.237629385640828, 2.875}, {-1.979629385640827, 2.887}, {-1.695629385640828, 2.913}, {-1.381629385640828, 2.949}, {-1.0296293856408276`, 2.985}, {-0.6326293856408274, 3.005}, {-0.309629385640827, 2.997}, {-0.21562938564082756`, 2.989}, {-0.11962938564082748`, 2.978}, {-0.021629385640826726`, 2.964}, {0.07837061435917292, 2.947}, {0.18137061435917268`, 2.926}, { 0.2863706143591731, 2.901}, {0.39437061435917187`, 2.871}, { 0.5043706143591731, 2.837}, {0.6163706143591732, 2.798}, { 0.7303706143591722, 2.755}, {0.8463706143591718, 2.706}, { 0.9653706143591716, 2.653}, {1.0853706143591726`, 2.594}, { 1.2073706143591725`, 2.53}, {1.331370614359173, 2.462}, { 1.456370614359173, 2.389}, {1.583370614359172, 2.312}, { 1.711370614359172, 2.232}, {1.8403706143591716`, 2.148}, { 1.9703706143591724`, 2.063}, {2.100370614359173, 1.975}, { 2.2313706143591716`, 1.887}, {2.362370614359172, 1.799}, { 2.493370614359172, 1.712}, {2.6253706143591717`, 1.627}, { 2.756370614359172, 1.546}, {2.8883706143591716`, 1.468}, { 3.020370614359173, 1.395}, {3.1513706143591733`, 1.329}, { 3.283370614359173, 1.269}, {3.416370614359172, 1.218}, { 3.5503706143591724`, 1.176}, {3.6853706143591722`, 1.143}, { 3.8223706143591727`, 1.121}, {3.9623706143591733`, 1.11}, { 4.106370614359172, 1.112}, {4.2553706143591725`, 1.125}, { 4.411370614359173, 1.152}, {4.576370614359172, 1.191}, { 4.753370614359173, 1.242}, {4.944370614359173, 1.304}, { 5.1543706143591725`, 1.373}, {5.387370614359172, 1.446}, { 5.650370614359172, 1.514}, {5.948370614359172, 1.564}, { 6.291370614359172, 1.579}, {6.685370614359172, 1.53}, { 6.889370614359173, 1.476}, {6.9813706143591725`, 1.446}, { 7.075370614359173, 1.41}, {7.171370614359173, 1.37}, { 7.270370614359172, 1.324}, {7.3723706143591725`, 1.272}, { 7.475370614359172, 1.214}, {7.5823706143591725`, 1.151}, { 7.6913706143591725`, 1.081}, {7.802370614359172, 1.005}, { 7.915370614359173, 0.922}, {8.031370614359172, 0.833}, { 8.149370614359173, 0.738}, {8.268370614359172, 0.637}, { 8.390370614359172, 0.53}, {8.513370614359172, 0.418}, { 8.637370614359172, 0.301}, {8.763370614359172, 0.179}, { 8.890370614359172, 0.054}, {9.017370614359173, -0.075}, { 9.145370614359173, -0.206}, {9.274370614359173, -0.339}, { 9.402370614359173, -0.473}, {9.530370614359173, -0.608}, { 9.658370614359173, -0.742}, {9.785370614359172, -0.874}, { 9.911370614359173, -1.005}, {10.036370614359173`, -1.133}, { 10.159370614359172`, -1.258}, {10.281370614359172`, -1.379}, { 10.402370614359173`, -1.495}, {10.520370614359173`, -1.607}, { 10.637370614359172`, -1.714}, {10.751370614359173`, -1.815}, { 10.863370614359173`, -1.911}, {10.972370614359173`, -2.001}, { 11.079370614359172`, -2.086}, {11.184370614359173`, -2.165}, { 11.286370614359173`, -2.238}, {11.386370614359173`, -2.306}, { 11.482370614359173`, -2.369}, {11.577370614359172`, -2.426}, { 11.668370614359173`, -2.478}, {11.757370614359173`, -2.526}, { 11.844370614359173`, -2.569}, {12.036370614359173`, -2.653}, { 12.405370614359173`, -2.768}, {12.719370614359173`, -2.817}, { 12.988370614359173`, -2.822}, {13.217370614359172`, -2.799}, { 13.413370614359172`, -2.76}, {13.582370614359172`, -2.71}, { 13.727370614359172`, -2.654}, {13.852370614359172`, -2.596}, { 13.959370614359173`, -2.537}, {14.053370614359173`, -2.477}, { 14.133370614359173`, -2.418}, {14.203370614359173`, -2.359}, { 14.383370614359173`, -2.154}, {14.499370614359172`, -1.894}, { 14.523370614359173`, -1.655}, {14.490370614359172`, -1.43}, { 14.478370614359171`, -1.388}, {14.462370614359173`, -1.337}, { 14.439370614359172`, -1.272}, {14.405370614359173`, -1.191}, { 14.357370614359173`, -1.091}, {14.289370614359173`, -0.97}, { 14.195370614359172`, -0.826}, {14.066370614359172`, -0.659}, { 13.896370614359173`, -0.476}, {13.681370614359173`, -0.285}, { 13.419370614359172`, -0.104}, {13.116370614359173`, 0.048}, { 12.784370614359172`, 0.159}, {12.439370614359172`, 0.233}, { 12.102370614359172`, 0.299}, {11.808370614359173`, 0.41}, { 11.647370614359172`, 0.681}, {11.656370614359172`, 0.727}, { 11.680370614359173`, 0.789}, {11.734370614359172`, 0.874}, { 11.849370614359172`, 0.993}, {12.094370614359173`, 1.154}, { 12.293370614359173`, 1.237}, {12.402370614359173`, 1.269}, { 12.532370614359172`, 1.296}, {12.688370614359172`, 1.314}, { 12.876370614359173`, 1.314}, {13.103370614359173`, 1.287}, { 13.381370614359172`, 1.215}, {13.722370614359173`, 1.071}, { 13.906370614359172`, 0.97}, {13.990370614359172`, 0.919}, { 14.077370614359172`, 0.862}, {14.168370614359173`, 0.8}, { 14.263370614359172`, 0.732}, {14.361370614359172`, 0.658}, { 14.463370614359173`, 0.578}, {14.569370614359173`, 0.49}, { 14.679370614359172`, 0.396}, {14.793370614359173`, 0.294}, { 14.911370614359173`, 0.186}, {15.033370614359173`, 0.07}, { 15.159370614359172`, -0.052}, {15.288370614359172`, -0.181}, { 15.421370614359173`, -0.316}, {15.558370614359173`, -0.457}, { 15.698370614359172`, -0.602}, {15.841370614359173`, -0.752}, { 15.987370614359172`, -0.905}, {16.136370614359173`, -1.059}, { 16.28637061435917, -1.214}, {16.439370614359174`, -1.369}, { 16.593370614359173`, -1.522}, {16.747370614359173`, -1.671}, { 16.90237061435917, -1.817}, {17.057370614359172`, -1.956}, { 17.212370614359173`, -2.089}, {17.366370614359173`, -2.214}, { 17.51837061435917, -2.331}, {17.669370614359174`, -2.439}, { 17.81837061435917, -2.538}, {17.965370614359173`, -2.627}, { 18.108370614359174`, -2.707}, {18.249370614359172`, -2.776}, { 18.38737061435917, -2.837}, {18.52137061435917, -2.889}, { 18.65237061435917, -2.932}, {18.779370614359173`, -2.968}, { 18.94537061435917, -3.004}, {18.991370614359173`, -3.012}, { 19.048370614359172`, -3.021}, {19.120370614359175`, -3.031}, { 19.21037061435917, -3.04}, {19.322370614359173`, -3.047}, { 19.458370614359172`, -3.049}, {19.622370614359173`, -3.044}, { 19.817370614359174`, -3.026}, {20.043370614359173`, -2.99}, { 20.297370614359174`, -2.935}, {20.57737061435917, -2.858}, { 20.871370614359172`, -2.763}, {21.171370614359173`, -2.654}, { 21.461370614359172`, -2.538}, {21.729370614359173`, -2.416}, { 21.96337061435917, -2.289}, {22.157370614359174`, -2.157}, { 22.39137061435917, -1.998}, {22.425370614359174`, -1.986}, { 22.46937061435917, -1.976}, {22.529370614359173`, -1.975}, { 22.615370614359172`, -1.991}, {22.744370614359173`, -2.044}, { 22.947370614359173`, -2.165}, {23.270370614359173`, -2.395}, { 23.306370614359174`, -2.421}, {23.35337061435917, -2.456}, { 23.416370614359174`, -2.502}, {23.499370614359172`, -2.563}, { 23.611370614359174`, -2.642}, {23.761370614359173`, -2.747}, { 23.964370614359172`, -2.882}, {24.239370614359174`, -3.047}, { 24.60937061435917, -3.234}, {24.693370614359175`, -3.27}, { 24.782370614359174`, -3.306}, {24.87537061435917, -3.34}, { 24.974370614359174`, -3.373}, {25.07637061435917, -3.405}, { 25.183370614359173`, -3.433}, {25.29537061435917, -3.46}, { 25.456370614359173`, -3.49}, {25.501370614359175`, -3.497}, { 25.559370614359175`, -3.506}, {25.633370614359173`, -3.515}, { 25.727370614359174`, -3.524}, {25.845370614359172`, -3.532}, { 25.994370614359173`, -3.538}, {26.179370614359172`, -3.538}, { 26.406370614359172`, -3.53}, {26.681370614359174`, -3.511}, { 27.005370614359173`, -3.482}, {27.380370614359173`, -3.453}, { 27.543370614359173`, -3.445}, {27.587370614359173`, -3.443}, { 27.644370614359172`, -3.441}, {27.714370614359172`, -3.44}, { 27.802370614359173`, -3.44}, {27.912370614359173`, -3.442}, { 28.046370614359173`, -3.448}, {28.209370614359173`, -3.461}, { 28.40537061435917, -3.484}, {28.63837061435917, -3.524}, { 28.87337061435917, -3.577}, {28.91437061435917, -3.588}, { 28.96637061435917, -3.601}, {29.031370614359172`, -3.619}, { 29.112370614359172`, -3.642}, {29.212370614359173`, -3.672}, { 29.33537061435917, -3.71}, {29.485370614359173`, -3.76}, { 29.66437061435917, -3.82}, {29.831370614359173`, -3.878}, { 29.87637061435917, -3.893}, {29.932370614359172`, -3.913}, { 30.003370614359174`, -3.937}, {30.090370614359173`, -3.966}, { 30.197370614359173`, -4.001}, {30.326370614359174`, -4.043}, { 30.52437061435917, -4.101}, {30.564370614359174`, -4.113}, { 30.61437061435917, -4.126}, {30.676370614359172`, -4.142}, { 30.752370614359172`, -4.161}, {30.843370614359173`, -4.182}, { 31.052370614359173`, -4.223}, {31.089370614359172`, -4.229}, { 31.133370614359173`, -4.236}, {31.18737061435917, -4.243}, { 31.250370614359174`, -4.251}, {31.441370614359172`, -4.264}, { 31.474370614359174`, -4.265}, {31.512370614359174`, -4.265}, { 31.640370614359174`, -4.243}, {31.45737061435917, -4.144}, { 31.29237061435917, -4.088}, {31.238370614359173`, -4.069}, { 31.058370614359173`, -4.005}, {31.019370614359172`, -3.99}, { 30.967370614359172`, -3.97}, {30.898370614359173`, -3.943}, { 30.71037061435917, -3.866}, {30.672370614359174`, -3.85}, { 30.624370614359172`, -3.828}, {30.560370614359172`, -3.8}, { 30.47837061435917, -3.763}, {30.28637061435917, -3.674}, { 30.250370614359174`, -3.657}, {30.204370614359174`, -3.635}, { 30.145370614359173`, -3.607}, {30.069370614359173`, -3.57}, { 29.971370614359174`, -3.523}, {29.787370614359173`, -3.436}, { 29.74537061435917, -3.416}, {29.692370614359174`, -3.392}, { 29.62337061435917, -3.361}, {29.535370614359174`, -3.322}, { 29.421370614359173`, -3.274}, {29.26337061435917, -3.212}, { 29.218370614359173`, -3.196}, {29.159370614359172`, -3.175}, { 29.084370614359173`, -3.15}, {28.985370614359173`, -3.12}, { 28.857370614359173`, -3.086}, {28.689370614359174`, -3.049}, { 28.639370614359173`, -3.04}, {28.575370614359173`, -3.029}, { 28.492370614359174`, -3.018}, {28.38137061435917, -3.006}, { 28.232370614359173`, -2.997}, {28.014370614359173`, -2.995}, { 27.968370614359173`, -2.996}, {27.907370614359174`, -2.998}, { 27.82737061435917, -3.003}, {27.721370614359174`, -3.011}, { 27.578370614359173`, -3.026}, {27.38137061435917, -3.052}, { 27.07037061435917, -3.1}, {27.03037061435917, -3.107}, { 26.977370614359174`, -3.115}, {26.907370614359174`, -3.127}, { 26.81437061435917, -3.141}, {26.69237061435917, -3.16}, { 26.526370614359173`, -3.183}, {26.300370614359174`, -3.208}, { 25.986370614359174`, -3.225}, {25.678370614359174`, -3.217}, { 25.494370614359173`, -3.199}, {25.450370614359173`, -3.193}, { 25.39337061435917, -3.184}, {25.319370614359173`, -3.17}, { 25.22237061435917, -3.15}, {25.095370614359172`, -3.118}, { 24.928370614359174`, -3.067}, {24.708370614359172`, -2.983}, { 24.419370614359174`, -2.845}, {24.150370614359172`, -2.688}, { 24.07037061435917, -2.636}, {23.986370614359174`, -2.579}, { 23.897370614359172`, -2.517}, {23.804370614359172`, -2.448}, { 23.705370614359172`, -2.373}, {23.60337061435917, -2.291}, { 23.496370614359172`, -2.202}, {23.38437061435917, -2.106}, { 23.267370614359173`, -2.003}, {23.14137061435917, -1.888}, { 23.10637061435917, -1.855}, {23.06137061435917, -1.812}, { 23.00337061435917, -1.757}, {22.929370614359172`, -1.686}, { 22.837370614359173`, -1.597}, {22.718370614359173`, -1.479}, { 22.569370614359173`, -1.328}, {22.38437061435917, -1.139}, { 22.15837061435917, -0.907}, {21.886370614359173`, -0.629}, { 21.659370614359172`, -0.401}, {21.596370614359174`, -0.338}, { 21.53037061435917, -0.275}, {21.464370614359172`, -0.211}, { 21.39637061435917, -0.147}, {21.32737061435917, -0.083}, { 21.257370614359175`, -0.019}, {21.101370614359173`, 0.119}, { 21.071370614359175`, 0.145}, {21.03337061435917, 0.177}, { 20.986370614359174`, 0.216}, {20.928370614359174`, 0.263}, { 20.85637061435917, 0.319}, {20.770370614359173`, 0.385}, { 20.66737061435917, 0.459}, {20.547370614359174`, 0.539}, { 20.412370614359173`, 0.62}, {20.26637061435917, 0.695}, { 20.066370614359172`, 0.772}, {20.032370614359174`, 0.781}, { 19.991370614359173`, 0.79}, {19.94637061435917, 0.798}, { 19.897370614359172`, 0.801}, {19.849370614359174`, 0.798}, { 19.930370614359173`, 0.505}, {20.057370614359172`, 0.395}, { 20.194370614359173`, 0.286}, {20.437370614359175`, 0.106}, { 20.571370614359175`, 0}, {20.70437061435917, -0.117}, { 20.830370614359172`, -0.242}, {20.860370614359173`, -0.274}, { 20.977370614359174`, -0.409}, {21.00337061435917, -0.442}, { 21.037370614359173`, -0.486}, {21.145370614359173`, -0.636}, { 21.172370614359174`, -0.676}, {21.205370614359172`, -0.729}, { 21.296370614359173`, -0.883}, {21.318370614359175`, -0.922}, { 21.34437061435917, -0.974}, {21.376370614359175`, -1.042}, { 21.440370614359175`, -1.194}, {21.456370614359173`, -1.238}, { 21.474370614359174`, -1.296}, {21.495370614359175`, -1.372}, { 21.52437061435917, -1.538}, {21.528370614359172`, -1.586}, { 21.529370614359173`, -1.647}, {21.52437061435917, -1.727}, { 21.488370614359173`, -1.887}, {21.471370614359174`, -1.933}, { 21.44237061435917, -1.992}, {21.39637061435917, -2.069}, { 21.26637061435917, -2.223}, {21.22837061435917, -2.259}, { 21.173370614359172`, -2.306}, {21.093370614359173`, -2.368}, { 20.97237061435917, -2.451}, {20.730370614359174`, -2.587}, { 20.691370614359172`, -2.606}, {20.64037061435917, -2.63}, { 20.569370614359173`, -2.662}, {20.471370614359174`, -2.704}, { 20.33237061435917, -2.758}, {20.125370614359174`, -2.825}, { 19.806370614359174`, -2.901}, {19.59737061435917, -2.931}, { 19.493370614359172`, -2.939}, {19.377370614359172`, -2.944}, { 19.249370614359172`, -2.943}, {19.047370614359174`, -2.929}, { 19.000370614359174`, -2.923}, {18.94037061435917, -2.914}, { 18.85937061435917, -2.9}, {18.752370614359172`, -2.876}, { 18.607370614359173`, -2.837}, {18.409370614359172`, -2.769}, { 18.13537061435917, -2.648}, {17.865370614359172`, -2.499}, { 17.781370614359172`, -2.447}, {17.692370614359174`, -2.388}, { 17.596370614359174`, -2.322}, {17.493370614359172`, -2.247}, { 17.38237061435917, -2.163}, {17.26337061435917, -2.069}, { 17.136370614359173`, -1.962}, {17.000370614359174`, -1.844}, { 16.854370614359173`, -1.711}, {16.69837061435917, -1.564}, { 16.532370614359174`, -1.401}, {16.354370614359173`, -1.223}, { 16.166370614359174`, -1.03}, {15.967370614359172`, -0.822}, { 15.757370614359171`, -0.602}, {15.536370614359173`, -0.372}, { 15.307370614359172`, -0.136}, {15.070370614359172`, 0.102}, { 14.825370614359173`, 0.336}, {14.575370614359173`, 0.56}, { 14.322370614359173`, 0.767}, {14.068370614359173`, 0.954}, { 13.849370614359172`, 1.095}, {13.812370614359173`, 1.117}, { 13.764370614359173`, 1.144}, {13.704370614359172`, 1.177}, { 13.627370614359172`, 1.217}, {13.531370614359172`, 1.263}, { 13.413370614359172`, 1.314}, {13.265370614359172`, 1.368}, { 13.085370614359173`, 1.42}, {12.869370614359173`, 1.461}, { 12.615370614359172`, 1.48}, {12.324370614359172`, 1.463}, { 11.999370614359172`, 1.398}, {11.647370614359172`, 1.284}, { 11.274370614359173`, 1.129}, {10.881370614359172`, 0.965}, { 10.595370614359172`, 0.872}, {10.566370614359172`, 0.865}, { 10.549370614359173`, 0.862}, {10.273370614359173`, 0.821}, { 9.958370614359172, 0.839}, {9.714370614359172, 0.899}, { 9.523370614359173, 0.97}, {9.373370614359173, 1.039}, { 9.254370614359173, 1.099}, {9.162370614359173, 1.15}, { 9.089370614359172, 1.192}, {9.032370614359174, 1.226}, { 8.988370614359173, 1.252}, {8.953370614359173, 1.273}, { 8.604370614359173, 1.496}, {8.325370614359173, 1.677}, { 8.109370614359172, 1.813}, {7.944370614359173, 1.912}, { 7.817370614359173, 1.984}, {7.720370614359172, 2.037}, { 7.645370614359172, 2.076}, {7.588370614359173, 2.104}, { 7.544370614359172, 2.125}, {7.392370614359172, 2.193}, { 7.109370614359173, 2.297}, {6.911370614359172, 2.349}, { 6.7713706143591725`, 2.374}, {6.672370614359172, 2.385}, { 6.600370614359172, 2.389}, {6.548370614359173, 2.389}, { 6.337370614359172, 2.369}, {6.224370614359173, 2.341}, { 6.1463706143591725`, 2.315}, {6.085370614359173, 2.293}, { 6.034370614359172, 2.276}, {5.990370614359173, 2.262}, { 5.952370614359173, 2.252}, {5.920370614359173, 2.244}, { 5.588370614359173, 2.182}, {5.256370614359173, 2.127}, { 4.907370614359173, 2.072}, {4.578370614359172, 2.034}, { 4.289370614359173, 2.024}, {4.045370614359172, 2.041}, { 3.8453706143591724`, 2.074}, {3.684370614359173, 2.116}, { 3.557370614359172, 2.157}, {3.4573706143591725`, 2.196}, { 3.3803706143591725`, 2.229}, {3.3193706143591726`, 2.258}, { 3.273370614359173, 2.281}, {3.237370614359172, 2.3}, { 3.0003706143591717`, 2.44}, {2.8543706143591727`, 2.545}, { 2.7423706143591726`, 2.642}, {2.6753706143591724`, 2.796}, { 2.7613706143591727`, 2.815}, {2.9363706143591717`, 2.803}, { 3.2203706143591724`, 2.771}, {3.514370614359173, 2.748}, { 3.6093706143591717`, 2.745}, {3.7123706143591733`, 2.744}, { 3.8223706143591727`, 2.745}, {3.9413706143591725`, 2.75}, { 4.069370614359173, 2.759}, {4.208370614359172, 2.771}, { 4.358370614359172, 2.789}, {4.522370614359172, 2.811}, { 4.701370614359172, 2.837}, {4.8963706143591725`, 2.866}, { 5.110370614359172, 2.896}, {5.346370614359173, 2.923}, { 5.607370614359173, 2.941}, {5.895370614359172, 2.944}, { 6.214370614359172, 2.919}, {6.5663706143591725`, 2.853}, { 6.951370614359172, 2.735}, {7.141370614359173, 2.658}, { 7.225370614359172, 2.621}, {7.310370614359172, 2.581}, { 7.3963706143591725`, 2.538}, {7.483370614359172, 2.493}, { 7.572370614359173, 2.445}, {7.661370614359172, 2.395}, { 7.751370614359172, 2.342}, {7.842370614359172, 2.288}, { 7.934370614359173, 2.231}, {8.027370614359173, 2.172}, { 8.121370614359172, 2.111}, {8.215370614359173, 2.05}, { 8.310370614359172, 1.986}, {8.405370614359173, 1.923}, { 8.501370614359171, 1.858}, {8.597370614359173, 1.794}, { 8.693370614359171, 1.73}, {8.790370614359173, 1.666}, { 8.887370614359172, 1.604}, {8.984370614359172, 1.543}, { 9.081370614359173, 1.483}, {9.178370614359173, 1.427}, { 9.276370614359173, 1.372}, {9.373370614359173, 1.322}, { 9.472370614359173, 1.274}, {9.570370614359172, 1.231}, { 9.669370614359172, 1.192}, {9.768370614359172, 1.158}, { 9.869370614359173, 1.13}, {9.970370614359172, 1.107}, { 10.073370614359172`, 1.09}, {10.177370614359173`, 1.079}, { 10.284370614359172`, 1.075}, {10.393370614359172`, 1.079}, { 10.505370614359173`, 1.089}, {10.622370614359173`, 1.107}, { 10.743370614359172`, 1.133}, {10.870370614359173`, 1.166}, { 11.000370614359172`, 1.204}, {11.143370614359172`, 1.251}, { 11.296370614359173`, 1.303}, {11.461370614359172`, 1.359}, { 11.641370614359172`, 1.417}, {11.839370614359172`, 1.474}, { 12.057370614359172`, 1.523}, {12.300370614359172`, 1.557}, { 12.566370614359172`, 1.566}, {12.870370614359173`, 1.537}, { 13.210370614359173`, 1.454}, {13.589370614359172`, 1.297}, { 13.669370614359172`, 1.255}, {13.751370614359173`, 1.21}, { 13.835370614359173`, 1.16}, {13.920370614359172`, 1.107}, { 14.007370614359173`, 1.05}, {14.095370614359172`, 0.989}, { 14.185370614359172`, 0.924}, {14.277370614359173`, 0.855}, { 14.369370614359173`, 0.781}, {14.463370614359173`, 0.704}, { 14.558370614359173`, 0.624}, {14.654370614359173`, 0.539}, { 14.752370614359172`, 0.451}, {14.850370614359171`, 0.36}, { 14.949370614359172`, 0.266}, {15.049370614359173`, 0.169}, { 15.150370614359172`, 0.069}, {15.252370614359172`, -0.033}, { 15.353370614359171`, -0.136}, {15.455370614359172`, -0.241}, { 15.558370614359173`, -0.348}, {15.660370614359172`, -0.455}, { 15.762370614359172`, -0.562}, {15.865370614359172`, -0.669}, { 15.966370614359173`, -0.776}, {16.06837061435917, -0.882}, { 16.169370614359174`, -0.986}, {16.269370614359172`, -1.09}, { 16.369370614359173`, -1.191}, {16.467370614359172`, -1.29}, { 16.56537061435917, -1.386}, {16.66137061435917, -1.48}, { 16.75737061435917, -1.571}, {16.851370614359173`, -1.659}, { 16.944370614359173`, -1.744}, {17.03637061435917, -1.825}, { 17.12637061435917, -1.903}, {17.215370614359173`, -1.977}, { 17.302370614359173`, -2.047}, {17.38737061435917, -2.114}, { 17.471370614359174`, -2.177}, {17.554370614359172`, -2.237}, { 17.63537061435917, -2.293}, {17.714370614359172`, -2.345}, { 17.990370614359172`, -2.51}, {18.33237061435917, -2.669}, { 18.63437061435917, -2.768}, {18.90237061435917, -2.821}, { 19.13837061435917, -2.841}, {19.346370614359174`, -2.837}, { 19.53037061435917, -2.817}, {19.69337061435917, -2.786}, { 19.837370614359173`, -2.747}, {19.965370614359173`, -2.705}, { 20.07937061435917, -2.66}, {20.181370614359174`, -2.612}, { 20.272370614359172`, -2.565}, {20.52737061435917, -2.393}, { 20.741370614359173`, -2.171}, {20.85337061435917, -1.966}, { 20.901370614359173`, -1.774}, {20.906370614359172`, -1.592}, { 20.880370614359173`, -1.42}, {20.833370614359172`, -1.258}, { 20.77137061435917, -1.104}, {20.69937061435917, -0.96}, { 20.620370614359175`, -0.826}, {20.537370614359173`, -0.7}, { 20.45137061435917, -0.584}, {20.364370614359174`, -0.477}, { 20.278370614359172`, -0.379}, {20.192370614359174`, -0.288}, { 20.108370614359174`, -0.206}, {20.026370614359173`, -0.13}, { 19.94637061435917, -0.062}, {19.869370614359173`, 0.001}, { 19.69937061435917, 0.126}, {19.38537061435917, 0.321}, { 19.14037061435917, 0.455}, {18.956370614359173`, 0.559}, { 18.828370614359173`, 0.653}, {18.753370614359174`, 0.746}, { 18.729370614359173`, 0.84}, {18.761370614359173`, 0.935}, { 18.854370614359173`, 1.027}, {19.017370614359173`, 1.103}, { 19.26637061435917, 1.143}, {19.621370614359172`, 1.106}, { 19.706370614359173`, 1.084}, {19.797370614359174`, 1.056}, { 19.89337061435917, 1.02}, {19.995370614359175`, 0.977}, { 20.10337061435917, 0.925}, {20.217370614359172`, 0.864}, { 20.33837061435917, 0.793}, {20.465370614359173`, 0.71}, { 20.598370614359172`, 0.616}, {20.738370614359173`, 0.51}, { 20.885370614359175`, 0.392}, {21.038370614359174`, 0.261}, { 21.197370614359173`, 0.118}, {21.362370614359172`, -0.037}, { 21.532370614359174`, -0.203}, {21.708370614359172`, -0.378}, { 21.88737061435917, -0.562}, {22.071370614359175`, -0.752}, { 22.257370614359175`, -0.946}, {22.446370614359175`, -1.141}, { 22.635370614359175`, -1.336}, {22.82637061435917, -1.526}, { 23.01537061435917, -1.711}, {23.203370614359173`, -1.887}, { 23.389370614359173`, -2.054}, {23.572370614359173`, -2.208}, { 23.752370614359172`, -2.351}, {23.927370614359173`, -2.48}, { 24.098370614359172`, -2.595}, {24.264370614359173`, -2.697}, { 24.424370614359173`, -2.786}, {24.57937061435917, -2.862}, { 24.72837061435917, -2.927}, {24.87237061435917, -2.981}, { 25.00937061435917, -3.025}, {25.142370614359173`, -3.061}, { 25.269370614359172`, -3.088}, {25.39137061435917, -3.109}, { 25.507370614359175`, -3.124}, {25.619370614359173`, -3.134}, { 25.72537061435917, -3.139}, {25.828370614359173`, -3.141}, { 25.926370614359172`, -3.14}, {26.019370614359172`, -3.136}, { 26.434370614359175`, -3.091}, {26.772370614359172`, -3.03}, { 27.051370614359172`, -2.97}, {27.284370614359172`, -2.918}, { 27.48137061435917, -2.875}, {27.651370614359173`, -2.841}, { 27.798370614359172`, -2.815}, {27.928370614359174`, -2.794}, { 28.04237061435917, -2.779}, {28.144370614359172`, -2.767}, { 28.44937061435917, -2.751}, {28.737370614359172`, -2.765}, { 28.939370614359174`, -2.795}, {29.090370614359173`, -2.831}, { 29.205370614359172`, -2.865}, {29.29537061435917, -2.896}, { 29.365370614359172`, -2.922}, {29.42037061435917, -2.944}, { 29.46337061435917, -2.962}, {29.61737061435917, -3.031}, { 29.758370614359173`, -3.099}, {29.901370614359173`, -3.171}, { 30.050370614359174`, -3.248}, {30.20237061435917, -3.326}, { 30.360370614359173`, -3.406}, {30.52137061435917, -3.484}, { 30.68737061435917, -3.56}, {30.85637061435917, -3.631}, { 31.028370614359172`, -3.697}, {31.20237061435917, -3.756}, { 31.377370614359172`, -3.808}, {31.552370614359173`, -3.851}, { 31.727370614359174`, -3.887}, {31.900370614359172`, -3.914}, { 32.07137061435917, -3.935}, {32.23837061435917, -3.95}, { 32.403370614359176`, -3.959}, {32.56437061435918, -3.964}, { 32.72037061435917, -3.967}, {32.87237061435917, -3.968}, { 33.019370614359175`, -3.968}, {33.162370614359176`, -3.968}, { 33.300370614359174`, -3.968}, {33.43437061435917, -3.97}, { 33.56237061435917, -3.974}, {33.68737061435917, -3.98}, { 33.80637061435917, -3.987}, {33.922370614359174`, -3.997}, { 34.03337061435917, -4.01}, {34.14037061435917, -4.024}, { 34.24337061435917, -4.041}, {34.34237061435917, -4.059}, { 34.43737061435917, -4.079}, {34.528370614359176`, -4.101}, { 34.92837061435917, -4.223}, {35.230370614359174`, -4.347}, { 35.43037061435918, -4.45}, {35.42637061435917, -4.542}, { 35.18237061435917, -4.504}, {34.894370614359175`, -4.455}, { 34.797370614359174`, -4.44}, {34.69337061435917, -4.425}, { 34.58037061435917, -4.412}, {34.45937061435917, -4.399}, { 34.32837061435917, -4.389}, {34.18737061435917, -4.381}, { 34.03637061435917, -4.377}, {33.873370614359175`, -4.377}, { 33.70037061435917, -4.381}, {33.51437061435917, -4.389}, { 33.31537061435917, -4.401}, {33.102370614359174`, -4.417}, { 32.87437061435917, -4.434}, {32.63137061435917, -4.45}, { 32.37237061435917, -4.461}, {32.096370614359174`, -4.464}, { 31.80337061435917, -4.453}, {31.493370614359172`, -4.422}, { 31.165370614359173`, -4.368}, {30.81837061435917, -4.287}, { 30.450370614359173`, -4.177}, {30.060370614359172`, -4.042}, { 29.756370614359174`, -3.931}, {29.671370614359173`, -3.9}, { 29.584370614359173`, -3.868}, {29.49537061435917, -3.836}, { 29.406370614359172`, -3.805}, {29.314370614359174`, -3.773}, { 29.220370614359172`, -3.742}, {29.125370614359174`, -3.711}, { 29.028370614359172`, -3.682}, {28.92837061435917, -3.653}, { 28.82737061435917, -3.626}, {28.723370614359172`, -3.6}, { 28.61737061435917, -3.576}, {28.508370614359173`, -3.555}, { 28.39637061435917, -3.535}, {28.28037061435917, -3.519}, { 28.16137061435917, -3.505}, {28.03937061435917, -3.494}, { 27.912370614359173`, -3.487}, {27.781370614359172`, -3.483}, { 27.64637061435917, -3.483}, {27.505370614359173`, -3.486}, { 27.360370614359173`, -3.492}, {27.208370614359172`, -3.502}, { 27.051370614359172`, -3.513}, {26.88837061435917, -3.526}, { 26.71937061435917, -3.54}, {26.543370614359173`, -3.552}, { 26.362370614359172`, -3.562}, {26.174370614359173`, -3.567}, { 25.980370614359174`, -3.565}, {25.781370614359172`, -3.555}, { 25.578370614359173`, -3.534}, {25.37237061435917, -3.501}, { 25.163370614359174`, -3.454}, {24.955370614359172`, -3.393}, { 24.74737061435917, -3.317}, {24.543370614359173`, -3.229}, { 24.343370614359173`, -3.13}, {24.150370614359172`, -3.023}, { 23.964370614359172`, -2.91}, {23.788370614359174`, -2.796}, { 23.62237061435917, -2.682}, {23.467370614359172`, -2.573}, { 23.32437061435917, -2.471}, {23.19237061435917, -2.378}, { 23.072370614359173`, -2.295}, {22.96337061435917, -2.225}, { 22.865370614359172`, -2.166}, {22.672370614359174`, -2.079}, { 22.357370614359173`, -2.103}, {22.19937061435917, -2.193}, { 22.116370614359173`, -2.244}, {22.01637061435917, -2.301}, { 21.892370614359173`, -2.366}, {21.738370614359173`, -2.44}, { 21.541370614359174`, -2.525}, {21.284370614359172`, -2.626}, { 20.950370614359173`, -2.748}, {20.75337061435917, -2.813}, { 20.659370614359172`, -2.843}, {20.559370614359175`, -2.873}, { 20.45137061435917, -2.903}, {20.337370614359173`, -2.933}, { 20.21337061435917, -2.962}, {20.081370614359173`, -2.99}, { 19.939370614359174`, -3.015}, {19.787370614359173`, -3.035}, { 19.622370614359173`, -3.049}, {19.44537061435917, -3.055}, { 19.255370614359173`, -3.048}, {19.050370614359174`, -3.026}, { 18.82937061435917, -2.984}, {18.593370614359173`, -2.917}, { 18.340370614359173`, -2.821}, {18.072370614359173`, -2.69}, { 17.788370614359174`, -2.522}, {17.491370614359173`, -2.314}, { 17.182370614359172`, -2.067}, {16.864370614359174`, -1.784}, { 16.627370614359172`, -1.558}, {16.56237061435917, -1.495}, { 16.497370614359173`, -1.43}, {16.432370614359172`, -1.365}, { 16.367370614359174`, -1.299}, {16.302370614359173`, -1.233}, { 16.237370614359172`, -1.167}, {16.172370614359174`, -1.1}, { 16.108370614359174`, -1.033}, {16.043370614359173`, -0.966}, { 15.979370614359173`, -0.899}, {15.915370614359173`, -0.832}, { 15.851370614359173`, -0.765}, {15.788370614359172`, -0.699}, { 15.725370614359171`, -0.633}, {15.662370614359173`, -0.567}, { 15.354370614359173`, -0.251}, {15.059370614359173`, 0.042}, { 14.778370614359172`, 0.305}, {14.514370614359173`, 0.532}, { 14.267370614359173`, 0.725}, {14.038370614359172`, 0.884}, { 13.826370614359172`, 1.011}, {13.630370614359173`, 1.11}, { 13.451370614359172`, 1.185}, {13.286370614359173`, 1.239}, { 13.135370614359172`, 1.275}, {12.997370614359172`, 1.297}, { 12.870370614359173`, 1.307}, {12.755370614359173`, 1.308}, { 12.649370614359173`, 1.302}, {12.551370614359172`, 1.289}, { 12.176370614359172`, 1.177}, {11.936370614359172`, 1.037}, { 11.790370614359173`, 0.9}, {11.713370614359173`, 0.777}, { 11.690370614359173`, 0.667}, {11.711370614359172`, 0.571}, { 11.770370614359173`, 0.488}, {11.865370614359172`, 0.418}, { 11.992370614359173`, 0.36}, {12.153370614359172`, 0.312}, { 12.350370614359173`, 0.269}, {12.587370614359173`, 0.221}, { 12.872370614359172`, 0.148}, {13.212370614359173`, 0.018}, { 13.391370614359172`, -0.077}, {13.472370614359173`, -0.126}, { 13.555370614359173`, -0.182}, {13.640370614359172`, -0.244}, { 13.727370614359172`, -0.313}, {13.816370614359172`, -0.389}, { 13.905370614359173`, -0.474}, {13.994370614359173`, -0.568}, { 14.083370614359172`, -0.67}, {14.171370614359173`, -0.782}, { 14.255370614359173`, -0.904}, {14.333370614359172`, -1.034}, { 14.404370614359173`, -1.175}, {14.464370614359172`, -1.324}, { 14.507370614359173`, -1.484}, {14.528370614359172`, -1.652}, { 14.517370614359173`, -1.83}, {14.461370614359172`, -2.02}, { 14.338370614359173`, -2.221}, {14.112370614359172`, -2.437}, { 13.955370614359172`, -2.542}, {13.874370614359172`, -2.587}, { 13.783370614359173`, -2.631}, {13.682370614359172`, -2.674}, { 13.569370614359173`, -2.716}, {13.443370614359173`, -2.753}, { 13.300370614359172`, -2.786}, {13.141370614359172`, -2.811}, { 12.961370614359172`, -2.824}, {12.758370614359173`, -2.82}, { 12.530370614359173`, -2.793}, {12.273370614359173`, -2.734}, { 11.983370614359172`, -2.632}, {11.658370614359173`, -2.473}, { 11.397370614359172`, -2.314}, {11.322370614359173`, -2.264}, { 11.246370614359172`, -2.21}, {11.168370614359173`, -2.154}, { 11.089370614359172`, -2.094}, {11.009370614359172`, -2.031}, { 10.927370614359173`, -1.965}, {10.843370614359172`, -1.895}, { 10.759370614359172`, -1.822}, {10.673370614359172`, -1.746}, { 10.585370614359173`, -1.667}, {10.497370614359173`, -1.586}, { 10.407370614359174`, -1.501}, {10.317370614359172`, -1.413}, { 10.223370614359172`, -1.322}, {10.131370614359172`, -1.229}, { 10.037370614359173`, -1.135}, {9.943370614359171, -1.038}, { 9.848370614359172, -0.94}, {9.752370614359172, -0.841}, { 9.656370614359172, -0.74}, {9.560370614359172, -0.639}, { 9.463370614359173, -0.538}, {9.366370614359173, -0.436}, { 9.269370614359172, -0.335}, {9.172370614359172, -0.234}, { 9.075370614359173, -0.134}, {8.978370614359171, -0.036}, { 8.882370614359171, 0.061}, {8.786370614359173, 0.156}, { 8.691370614359172, 0.249}, {8.597370614359173, 0.339}, { 8.503370614359174, 0.427}}]], LineBox[CompressedData[" 1:eJxFW2VYVF0XHWAKGIYpurthKBFRzyHG7sTGeH2xsbGxW7H7tRsVFRHzHhUb FRUVAwEFRUTpro+5Z898/PG5z8zce87ea6+19j5Xh3EzBvyjy+FwvLgcjvrf CdtOHA2NDySLFBe75i9UYMvVx+ZdGRtIuqRWNmfFK/D3xhjTF8pAcupAun3y LAW+W52bsN4lkMzsZPDheJwCrzBNrCw3DST85bsiN05VYFO/nd053EDCXv6r wM4ju/ws/R1AHvcMWR8eo8Ctgx/2TyIB5Gfj2fI3vRWY2P+7Z1xKAOnW9vCL XRX4+CPdkStPBJDZsdv+LEYKvNX81kJhYgDpM04SHRqkwDFhu+esHR5AzrX9 epxEgZ9krCx/1DeAvIv/5eovVODT1tL1wREBJHlW2w2a5Ng62WPzRmUACcvt u3nPXzlWiW70XW4RQCJiCjMdP8txavcHri7F/oTd/UU5Hrp1gaVTrj9pW2xh 5jE53X+mP2lYOvn2nB1y3CnmYLX1XX/CUf8lyPGqcDOD5yf9SS/19v6RY9/A 4qE+8+B+vnKcGX+kp9cUfzLo+8m2CMqxoz+TaTrKH9Yvx4t3NVya2MOfsMup l+H0eXPTFQH+ZOTW+9XuX2R0vw1KMoHdgAwPnlCh16NMSdTR77RBhhtbU50b vinp7xfIcEgu/8q210pYjwy7rn3R/OSmkixBwaNvdpfhEYVru747qCRVbdn9 5SrDWS8vxufEKmn+SqSwPiXNV54UD7vJ8W/qrSQhbECk+M1xt3HcDkrCpv+O FJ+fZZf6005J7h629Ms50fZ5fcnV5AY/crO7SNdrrRRvmZ6QkZLoR9j0jpXi qHFLj/os9CNu/sIk6+FSjEVxcxaN9CMD0mxX/+4vxZ9O6otN2vkBHqT41Kz3 n/J1/Yj62xPCpPhZ78xhvRhf8nSe+olSfMz6yQW/f3zp852l+MfpoF1exr4k NOXJvLt2UjyxU7z93hofYtd29zRbKV5zf/ysfu98tJ+7Cy0n9jnnA/mR4m/9 XWMXzPSh+XeU4ts9T74JdvUhHmxCpLjl/Ibj0fe8AY9S/CUz0flvlDepG9h2 gygpLm6OuJ/j7a1df+f8olHHjLzJlUOlpx/1lOJ1f4rXeRR4afe7PX1L/cSL XqRCDYdoKe7xXV6YNtGLsNsdI8X/PbqRsETgRSayf3C91pMcVJdjLKxHx5Oo qyV4tBTvjzs/8PkvD4rvEVIsXOmr2P3cg6jhYjBUihsGL5536rgHaUuO6cc+ UpxUOcV22gwPkuOsRoAUR4TUbhjk5UHYcCiluF1whl7nN+6AVyl2zdned+4I d6gfCd5ZaiLBd9wIC9+lEho/fzeirsYkawm+MkdnXJ2VG2HhJ5LgIYWdp75q dSUl/dUBMKb3++xKLLhDxD5XjPHIiVmXhie5EhYeE4xhfa5QH2J87kmBYKe9 K63n6WKc+sx467kbLnS9yUb4RNe+6cIgF7KSPDuqShXhybGt7WaudiZt2WrL uCFeMXWw6r9aJ8LCYbUBjcd3J3ieAe6ymZfGf+oEeDOg+T/lBPxiAPh1IuPY G+rT+Ic7AX/qw/0dAT/6+Ka97e2RexxJ22JlK4kQj/s5qbLQ3BHyJQS8OZAe 6nIxFeL0jA6m997Yw/OEgAd77efW/NKvIf3tIb5CHJB75/3GIHt4nhDwb092 mKsDKsRcbsBRk7t2sB8h7jiupNgB2xGb4WpGEeKYHVW7O++3Bf4W4syT84fq 37YhD9Xw2ibEmywN44y2W0N+hNg918s+ocES4i3Ei++/vhV1wJJ8fFnbVgFC rNzYbWFBsCXwpRB7G1xtN+ypBeXjxUK8avpfk7NDLKD+hVg4HL98/Nkc6lmI 0zLOjLkWbU5q3NUFJ8Dr0psiRswxg/wJcPyeHien9DKD+Ano+i3NKB91EtDf Z5sCXgU4KPVV4p1VpsBffOwd3KF3gLkp5IuPszJbpn3bYEKet6GlspmH+0mC Mg5mKSA+PDzh7qILZr/kUK9cnDJvf4DeLRlh5fGXLi4bXMzsPyslLmwAdXBW 4+pVt4ZJgU906PO5UogXB4+UjRl49YKEvFWXeygHc1YeHLWhvwTi04rOZKyq OFRgDOtrQfi2941fVsakrbjaAtqMJIG/o7k9xaRJLZ/jmlD7rQutGmYbAb80 omjFxGlXtotIi5re/RvQEfvYvaFnDQE/9UiRknBw63UDos6OObcOLY6r9jtz Sx/iXYOys5TGdd2ExI8lhGp0e2HGW/N6AWlji7YMV6NB7P0FEK8qxF37suWw sYC8Uqf/QBWqG2Y9NvlfPvBlFSoaWv5x3xYeido4tU3yK1HW2bN1tgu5kO9K dOJo8+d0Ez3ITwWaan57UW6UDtRLBYqZlf1la1IzQ/1DJcr+NOmZqKSOofpS hdxjdULtZtQydP1VKG3w0vhBL6oZGq9qtO543rokfhVD91uDlLuuvhebVTAs /x+uQWS81bydJaUM5b9adGSdQ62H8jejRvuh0lqU4HvnVo+8QobiuQ7lvRv/ 36MnuQzVz3oUs3fYY8foNwytl3rEcVET2nmG1kvb9ZH+7pPdFjHUX7Rd/154 asLA82iGTM1Q9Yjkv/JfXU5QWVv2Qta3fW73Segx7iWi8a5HeV1qHs4xzUYO LEDqUGbujJoBxt8QjW8dUj4w2W6mLEasHqW07W/RiXEnL1ege2r6q6xEeeY7 DaY2VyJNvCUO2O3R2GpE8VyByI4zaVe/1iCqP+VoXUq0l3VcHTqjXk54GWrf FHpKaduAKH//RZmTe3mUFzUiirffKC/SykGV0YwonotQP05iyqjMVnRMDY+s AsTt927moQYOnssSUj6KDlxkNM5KF+9Vp/fZR7Rp4kW8q48ePhGnruBMNHVj yj3P7VzMymf+TVR2dHOi4w8eZsv/7iWmpOey8XHdBJiF88eXzBNVywvvO0JM +fwzY/52V0eEDfAyNuEFzJdK1aXTrw0xm87TxUzS733be08zgusyZtXNbT+U cmO8O1IN0ErGcvmN5GMxEkz1u5ZxXVkQciO0zYew/reB6ZVS8v2dXIapP25m 5hRWba34I8OUfznkn7SICt1Hckz1WYcIWuoKOQcUmOJVlzhHj3LIm2yCrdgC 0yNH92xftj/IFAO/kKW393KUdaaY6h2Xfp5ihik/8MiTJ/u9rm8xx1Q/eYRd 3w1zWD+P0PWYQ7z5xDoJP17kZ4EpH/GJ7YfHOYOWWuBA9o9PWvt/2Xgw1wJT v80njPXS1wMGWmJaD3zyrNIhIjHHEv+nTncIn4zffOuzx3wrzMqvjE++zPsm CnCyhnzyyJiQCxfnf7TGLDxH8kjAamPm1XYb7MQWJJfGp4strF+P+PrpbLep tsU0nbrkW+38fneM7TD1u7qwfjuIjy45+edIUq8BdhAfHRqveDvMPm6rDhm6 MXGQ/D872L8OycsoCy0gdpjyAYf8rT/24W2RHaZ+qoUZlmo2paTEDrNweNTM bFG8San7a4ePqO0kv5mh+7HDLH0MaWAWb5MWDzlrh9lwBdcxNF52mPrrGibh p52Zflc7zNJdeQ1D822HWTnZXM/UZ3bpJp1th6meNTBXLQf26LjQDlN+a2bY eMy1w7S+Wxh2vbF2kK9Wxl63b5VPbztM649D6HptMeUbHTJj649xONMW1q9L Tpu7P3A5agv716X5GWaL2XLW1SOrOvlG3SqwwX/VcnpTj8y6OW2BhZ0NpvzI Jd1Hf011mmeNqZ/gkUeH5CZfkTXkgwf5s9Lic/vkvPxzm6ww5Tse2ft7rku7 ekvM2o9cHtzfEvLHo3h7a46pn+JRfLaYYerveORQ+KoBRbvNYP88UnuS8W/v bIZZu/KTS7y5CxdFnTKF+ucSR5/3BgJrU8zaAQMuOX7fYvfslSZwPz3ApwIv YA2ULglK3v3uTL4c8KBD5kkWn3p+Ww7P0yEX9t3hX94sx5R/OTS+/eSY6gGH DAxe4TaWIwe+4cB6ZcBfLQwbD5EMU/1tZiTnTPA/Q6Tw+wZmsri/3bXxElhv LfPlyd29L3WNMdXfSqbEvq7XngVi3I8VxArGndPtk2+REdRXOZOeHrvhaD8j wEsZM+hK4dP3F0WQzz+MxG3Bt09cEcS7mKlzdMq6MMAQU39UxGR19RgcudsA U/0sYOaEvLba+kIf8JTPdLy49dbZJiGm/uYLk15aemShnRBTf/SOiRqeZCJu L4D4P2fS/qRbTOjCh3q+DnzNw9SvHEGUn7nAB+mI69JnRLqXHqZ6/wZZt1gP NDfWBf75DPzPAb7IRwk5KTe//tOKaL/3A8WtXsQ3LW1CrJyqilG3ZQ1xb8Y3 wPVf0Kc2XWfroRzhtzmm092r0YsM9V8FivaJGNA7vgK9Vrcvk6sQtln4omZZ KaJ4rUacf9e8chAUI9o/1qK8kLPnrNYUIFoPdYjguUr/jZ8RW05e9cj+LN/2 4rNsrX7jS2uvlg9+h2h82vR+xoDBIaLXiOanTe+7tdv7e+hjRPdXjxL6iHry N19F1N83aP0E9bcNKGEhkxgX8pyhetuA7A3vR0vefWTYeQSnASVeXrKmxKWA ofrU5k+yohOmJJYwlB/rkKQQT1/iUan1O8lLPwnMHtQxlP+q0ZnmqPSNQ5oZ 6sfa/NyYwdYPDVoYttzTqtCZgQPLO1W1MBq/t/fZsClrDTngV6vQ7ZMDi8sf c6BfrQK/qQN+tQotVk23eFWiC365Ld4TbTeFLOUSytfVyD71vNOpRD6h/qMG RaM/KzeO1af9dXodfG4A/r4BSdbXr04tMoD+oAGlOd89NXGEIfjTBlSk8z3p Z5kh9ION6Eytof78qyJC678J5Q1+NGDlNSNC9bMZ9mNMqJ61ooQ/0W9sJkug v9LBGX0neQ79T0pAr/AT52/ypX1l5IE6vPf1sHUOZ9+kozLwt1xclTDz/ew6 GaF+j4tjkbT82GA5oXzBw71uuhwuTpVDv8TDRUu79B1lp4D98XH68V6ZFd8U hOoJH8cqNnx6yjeB3wtwk/cWZXagCcx3BLjo7It/2k03gfmLACeY5xXVpJmQ aezATdMvmUJ/IMQS/ih37z2mhPovIV1POzNC8awP/Ys57E8fpx116P5F3wLy a4DNryxYkTjAEvoJQ6zwL+jM+2FFKN4M8cGud4yab1hDv2yIs/vvvDxtvg30 84a4X9itb3OP2xBanyLoB20IHUeKaDwdbKGfEMHvbWFeIcJn5sw4X5JvC+sR 4UTV9jU/YuygHxHhQRMj6vtU2NF55E8R7hPqKJsSZU/nayONcIn7s+zURfYQ bzEevW3Eo8Awe8CrMX55/OuaFmt76IeM8ZFDzztc+mAH8w9jnBhncYjxs9PO O5qGmnS9rGtL5qvTP0qCs12NDux0t4F5oQTybU2oH5DgvOZkwzcB1mT/PvWf BO8tv5jX46AVzB8lOGNhGVb+saTzulMSiIel9nOafwuItwQn22/i9bcxh/mf BPpZUxoPKwn0myaE8qMx7lWYdO3BagXMP8VYtPpxwRFPBcRTjGNipyX881yD VzHthyfJoR6NAB9ymB8YwfplEE8jnHS45t5DpQz637Z8bHtq7H5PCngV4Z2P 3J7N7C2l88F8Q4ivRDuvYfEwQgLzEEPcTRb248ANY4iXAab1LAa8GmAOP/SW 4rgRof2CPu7W6X7TnHUi6F/18aZDp1/sGW9IaH8nxOmuv3yWBBlo5x203xVq 5yXCnC9eAy4IoP4E2Nxg69PwwXzgEwGmfMYFPmurL9NtVU+m6MF8vK0+P10+ EZalQ6i+tP0+2DTP0pmjnWeQoWdbJ59qYqjfFeBsXnle4U0NHwuwEp08O3JB FUP5TIAlh151NjxfymjqN6Y5xdh3TSFD5+lCjHfq3ag+mQX6IMScwSFWdVMu IU39580+M37C3a+I6j0f0/7xG+hR2/VDbOGrX4jo+vhYggc/nlv8E/SOj48k dXxg96UY9JGHOduNfjS8+wP9Kw/b133foze1DL7Pw0e+B/dzLC9HlE+5OHFj 04FhCysRrS8uLioNWXRWUA3r0cPJkqI/0n01CPojnPdHVLXdtw7R/OthyXP/ Bnl6PaLx1sVnJjzfcWFUI6L+qe365kcyprEJ9FYH7teCKL9zcOK24KHTbTiY 5oeDn1jOvz7wLwdr+D5Id/ZY1T0d8Ict0I/qgh9rRtmzkqdY/6OHqd41IUlT +XOddlzo9xpR1OpA7598HqbzrQaUPNXvffZHHqb9dT0qqo5rd/ccHz5v07Nl V3YfXyTAtH5qoR8WQr9Yg6jf0scUb9WoKd5fJ6ZMH/qLKhQb43O+/wMDTOu5 ClE/Z4g185b4zbndwqeIMJ1XVIL/MgL/VYGc35EHgy3EmOKzAsUGn9oZXyWG /qYCKQZw6q++NQZ/W4F27vq3buUIifY6ju03JJjirQKlqj7FmHSXQnwq0ES2 H5ZiOg+oQJV9L3PXrJFhWm+VaEpodvCWKzJM9aUSdV7bocuP3zJM9aQKlTt7 /k0KkWONf2D9/UE5+OsqRPsBBdyvGlmo+/c8hTZ+9H4mMD+oRWw/ssAM+qN6 up/PZtDf1qP9ps1hxt3Mtfk6P71d2Ye75pCfesT2k9gC+rV6tOHug7VdXmv6 6Xr0YNamFu5MS9hvHWL7LwcriE8dov2WlWa+APe3hn6mGrX7bFOyPNlGu/8R +f8tf3jLFuYN5WiSul/4rumHS5DSf/849532mLUjtd9R7M3P940K7cHvf0VL d5y7OVboAHj5hBy5RentvR0w9XPv0SDRzvzt/Rwwnae+QbKki5K4uQ7QDz9H o7+HDMjc74Apf99H6d3/S2t3zwH6qSvIM5lrd+inA+QnjrG9+HHPGrEj4CuF ORxp41QZ7Ah4SGcuxr0i30Y5wvNfMrcPLR/9ZrUjpnqdxRTWSxyeXHTEVF8/ MuIhR77f+eCIKR/nMiFX/E5d5ThBP/6N+XPSZ5G3pxP0+4UMG49BTtB//GTm 3Ob3cF7qBHgoZlS5+ZHHzzhB/P8wprp3Ojm+dYJ4lzE/nfeGHG12gvyWM2ld Z/vbuztr6oV+f6Azpv6kin5/iTPUfzXc3xnDPA7u7wzzmVq4vzPMW+rh/i4Q nwam8U2uufUAF6jfRgaN7sUxX+wCeGpiVvxK+yk/5YLpfK+ZCc1Jvb3plQvs v5UpzUzZxqt3wVReOWTjrnfh8Q6uMH/gkJTyCdzpPVwx5VMdct/W7NioWa6Y nt/okMyeT1Hv/a6Y6qMOofl2Bb7SJdtMp6zW6+MG/aEemSopLmV03eH5PEL3 766dT1mvHLD8AvIAfPFJeWPYma+PPeB5fNI/X/T8RrgnxJtPoscdE6suekJ8 +YTiyQviwSOBIx0W6Iz3gn6XR549C2y6d8EL5kVcwuLnrxemeqlH2Hi5esPz 9Uh2beG+y4O9AX+6hOLDG/phXfLkcFJh0X/emJ4H6ZDFsU4n1t3whnxyCHdZ 06yEF96AFw6Jl5nMf//ZG+YlLcwnx2nJGwq8MfX/zTS/Rd7AP42MZLlbw+4f 3jAvamCamyf6Ved5Y9qP1jETtw5KCnrvDf11LUPj5Y2pflczqxS4pSTFG+q/ itGsF/iV8eXLe/Vd7Q38VU7xGOsN9VzKiLwsXhR088asPywsYTTxof61mGHz raPZ/0+GxcMnL1hfAXO6NHTJ0Mte2vp7nzF6ZfYaL0z7zzyG5YvhXqBXnxk2 n75esP8PzFnLezuUHC/QjyyK9zeesJ5Mhs3vcU/AZwYzuXDcxx+zPTH1d4/p /lSewGf3abxMPYHv7jKUjzww9Yc3GJo/D5i3XmNe2kd4zNnoAXx2hQkTdn77 z2gPeH4ys2cP5+mWmxr8XmZYvixxAz28y/RNXZ2SF+CGaT/3kElSdTunv9UV 5hXPmYS7/q87DHWFfL2AenaF379kuhpMGr641gVTP/qWyT+uW2Xy2gXwl810 Dy6LG/xIU885dL3PXWA+k8ekWpdYdv3oAvPm75T/il20/HflUc6fnY0uMN/+ wYxMSw6rNXQFffjJRKYM93lm4Qr690u7Xnr9B/jEFfS0nK6nixs2Yw/4KpnN ZGR0/2Q3iGc1w/KJgTvgv4bxZ/nXHfBTS++31R34pJbZ+vv7dE/GXeN/mM9s vbiD36pjWD7Q8YB5Wx3jvnqJMN3cA/ZbT/c72QPyU0/xb+sJ+t3MTJjwYteI rp5wfx3C4tXfE/avQ+vXyBPmb7qE6osHpvMkPfr5Zg/M0tshPRIjZmLPeniA PusRFl+n3SEeeoTqkWY/ekT4zuBIwBQ37byV5ZfObpjOj3QJGw9jN9ATHcLi 76sr1LsO2TV1wZVr512hnjnk5qyGrvXzXLXzXrZ+sCvoTSvdr8AV6qmFmfdz c0xzhgvgu4l5NMfllXGiBi+NzPSwmfx9/V3AT9RT/EldgM9rKZ5fOYMfrmbC 1781Ld+gua6keq1yBj4uZ3QHzR15usUJ0/PQvwy73lSNPhczLD9Pc4J6KWRI 5daNq5ycYH95NL/ZjoCPDwyNvyPwewaTG78op2OEI+z3MuP9eWPwvBoH0M9r iI33eQdY/wv0/eV6g9IxDpp6Qj1j5q/1NXGA+WkeovVkj2n/WoBY/VphD+sp Qmz9d7CH86gSlPXs4ZUXP+2AH8sQex4ySnNeUI6M1fPc97aQn0rqB/vbAp6r EJ3H28D+qhE9v7CBeq1Fnh8rJkz5YA16XUf9a4y1Bv+Ink9YYc15ot6Z4rQ+ S6y0/UWz6+C5DyRWwF8NqGvg0CM9TlvCfLgRNTa+GF0cbqnRH1Tg2Dpx91cL eF4Tas8/qTtimQX0D02InneZA380Uf993RSe10T99BQT4NdGRM8jFBDPBjQ4 Rr9zh75y0McGuv6pMqiHerTpV4//7I5INfWM+uTObrj4TTP/rkdrYq8N3xko wZrz1bre54rXOBhr8IoSb9+e1rXECPxPPRIuGrlu3lMRnP80IHevV2WC64ZY cx5O5+EGcP7VhKoyFKcbU/Th/KMZZVkf6zz5sVDjp9DtyLddTAsEEP8WtPj7 n7mVQgHUfyuKT5s4xrIDH84DOThhwsobS+fyIL8cPHL9+g6KG1zop3Qwnb9z gS90cMYBUePX4Xqgz7rwfV04/9CF/lQX9EIPK/vZ9Mr41oJYerXk4TJLZtuK 9w3Qb/OhH65FmvlBmkw+131WNdK8X1JnXWy+71Il0sw74vjSHkdHVCCKD32M zwzh7BpWjuj8Rx93GzR7eP3OMphH62Pi726S3VAKzzfAnCIr+YXZvxD1Z4Y4 oenp8C1/C+H5hrjf091uI259QxTfIpx3kFvpmpKLqL8VYc7zmnGbD72Az8U4 YazL8X3WHxHdf9v1lg94fXouov2gGMfVze41tmMBovUoxskX/+3R7tovRP2i GNs7Tbn4pUMZnI8bYWGPg6nrhlbB+bURdm8Q21mq6uG8W4SzTSetHOzciihf GmLaX+vAPMAA0/NiHdADA7xT9nx//XpdOG/Wx87nQi8s7qEHflof0/MKLqbP 08dFz37ZFX7mgl4LMcUfD/hSCPfjQ78kxLQ/F2DN+zwTcvf8+2iIELPzwxwB PE8f+LMtv+z5igH0owIcLayqWdfLEPhQgNtHL99SO1qEab4EeFDO1LxLS4zA nwkwnT+IsWaeTM9XjAG/fFzy0upewz4J6CUfZ865vtqqhxT4SoCz7bNyl/Fk mM6fBJit/xcy4BsBZs+Dj8shPgIckdNt9t71CjjfEeBpE8b0+ne5Cei3ANPz NVOoRyGm/a8ZPF+A9T0Smj7+MofzLAFmz+c6WkK/LcCU76zAD/Px2HFBD/u5 2wCf8DDlI1vMXn7Qw5rzUIpHPSznOE8zq7IF/dTDmvNb6l91MT2/t8N0vqaL NefDlG918Aa2v7KH81wdzPqtnvaa/gqzejXPHvoTDm5R+/0j9sBvHPr9Nj0C PUesftbYQ3/Ugsx9ogY1OjgA3zYjVt97OUA/0oSyjn6Y2jrfAfrdRhTA+mcH 4K8GxPZrLzV62IBof+ignXf03thySODsCOefdYjV/76O8LxaZMDZnmq40BHw X0PnCycdgU9rEOsvMh2hfqqRs9+Mz9JGR+gXqhDtL5xg/lGFqJ/Q9OuViPVX k5xh/lOOWD+2xxniX47Y/uKRM+hXOcTHGeYD5UjTP9P9VSD29ZoRLuA/KpDG /9B4VSCNv6b6U4nY/rTVRTsvY/vtjq6YnrdV0f0scoV8VyHW79x1hfhU0/vx 3eB5NYjOB9zg/YhaVN2/x7vEk27gF2oR639b3UAf6lDcxDrrWTHuWr1n/fQz d5h31CPqHz20+cqovik7cNsDa87D2Ph08dTe3/5jzMUxOZ4QjxrE+tMELzif r0SW0c8nZym9Qc9K6e/XeEP9/6bzoSRv6L+LEe3PvMGPFQF+vOF9gB9oiHq8 bOejed8G1uMDepqP2P5vug88Pxex/dpuH+08it3fXR/Qu/eI9sc+UA+vKR6N feH8/CnFe4gv3P8OYuspxhfudwy5Dq8pL17vC/OeU8yX3lWPxl/1BbwSZkd4 xYEvX3yBj55RP8vz05w/M7O2LQvs6ecH38+m/jTaD/qhHOpHV/iBH8lnqF/3 Az4sYO4+Ec49n+UH88kfMO/R/P4Xs47Il/SUK0EvSpiD00eMfuSmhO//ZYoz p6S2hilhPWVM+8DF4tB+SuCTCobpPjhHOUGp8ZtMgqLW8ed8JZzPVzE4d2/s oY1KqKdqpsNoPRfZYaX2fZSgnGn5a64oQW/qmCPpkzbGP1Rq51FGSf8ET85W at93udrVc4jlb6Vmvs0M+/533rNmJfifJmbWz6jVtcb+UP/NzIPD4w2+O/hr 369h7xfvD/fTIZ78Z3Hdn/gDP+sRi4uJtxOkAdAPc8mkMHevHYMCoJ/mkYHj hgWibQGAVx78PgD4mE8W3y2qDmoIgHzzifGHkp6RboFQn3zCrq9vIMSfT2re 7O5kOjcQ/Cif/Lfv25zDuwNhHgOfXwvUvt/UuvTqnoWZgdAf8MibDJMzb34F gt/kETZfVkHAD1wSFXx6V99JQVDfeuTarMtTK/cFwfxPh7D5uh4Ees4hZf11 GjY8CYJ5VAtz7oBR07VXQbC/Jpr/zCDQ7wZm4Y6xuSOeB0E/VsuYr9Q/dfp+ kOZ8gPH277/W8brmupIxXP7VdtvZINC/coaN1/4g8P9lDLuf9UHQj5ZAvoIg fr+YFWhpKJkYBP39D4bmJwje5/nObPi9f4dzRBD42XzmvHr9fkHgd3OY7Xuu /1lnE4SpX/1I128YBPODd8wd25ePhrbFm+L5OrP01wyReFKg5n0/xD7fNRD4 JR11XL8h7PefAEzfN36OeJzun3l3AqC/y0QN7icnP9keAP3vG5Q4Vfnh0vQA 8FNZiOIhAOZJH1B27/O/R7UL0L6P2E5YXTtGJwDmF98Ruz4Tzf1LUEljRUa2 p+bzUsTGr3sAzPvK0ZfjN8wlcwKg/6tAO+935o5LCgA/U4nY/NQGaPXR/XPE 8LhhgZr6RSze4jR4rEJsPNYHgl+qRGbqfB/T4LcSsfV4JxD4owJFGNgvm/cp EPi6AmXVHrx7vk4T33LE5tc8CPq9MvTXdeH3y6FB4Hf/os4p0gHpI4PAz/1G zQO9lx9dHgT8VoRYvjodBPP6AhrPNrzSeUoevV99EPBbNpL7NMZXOweD3r9A efWPVff7B2vzO2hzXnfzhGDgjzsU/5eCtfMx649mb4flBYO/yWXY30vbAZ/8 YOqabQaVRrYD/Sxh2Hqe107jFwD/7cBfVjPxsZ+erPjSDvZTx9hyD/8KMA4B /mtk2PyHh0A8WhgWT7NC4LyDQ05Yxqd5Hg+B99t0CPv5mxBMx5e65EzcmsIv nPbAF3qExatPe/CvXDJ2q+Fr32HtAf88er+V7UFP+YTl7/PtoR75hOXrN+1B HwXkxhNm38na9nAeKSCjQpuPL7YKhfwLCFtvnULB/wvJj4Wj1vceHQp8KiQs XpaEwrxdSJxXB/ncPRAK+xOSLjG+Se5poYAvIWFfR3obCnwvJPM6Dbxy9k8o 6IGQsPXJ7wD1LyQXHu2UbbXtAPkXUj5e2wHqQUCf97kDzGv55Jtz35EH7MNg /sUnLH6GhYFf41E+XR8G9cojbP4vh0F9cwlbb1lhsD8usVTrSXmYdj7H6pdh R6gvPfLoWbH97X4dIf66NN4bO2rPPygfdQS94ZDMo1u21X/qCHjikIArP55d 0OukPT+5N+dLpX5gJ9BrHTJmwqqbgyd3Ar7VJRR/ncC/cclMdb2Uar7Po/kL 6wz7F9Dfb+gM/k5I9e1TZ5jPGpDrh9qvzHBHMF8xBD1DsD5Dmv87CPy2iFit ami8xMGwPxGZud3tYm97DPNNEWHb8U4Y9EhEuhhK3y2NxlDPIrLpHvftwJkY /JuIpM0+dr9xLQb+E5HhN6JT6w9i4CsR2VKy8Zd3Mob+TEQshs0ufH8Pw/xT RB706BIY+gaDPxWRGf8e2TMnH8P+RKSD/o/esaUY6lVEXjgUH5/XhEH/YH3C cO3nJafeVfuGhUN9iAhnsM2Hs2PCId8isveB3/DJC8MBDyLCvl6/JRzq34gU 9Xv8ZPGhcMC7Eck6tuynztlwwKsRXf/lcMinEfG8nLTvcFo44NeIbI/Yb5p7 Jxz8spgctOi81jo7HOaHYhIw6mmlXkE4zEfFxObSctn60nCod2PiMuK/qX8a wqH+jMkqk6L4Ul4E4NuYGHjf6/ozNIL6t5kS+vxYuC6XkK8LnKLRjgjKN4Ok 5O/rkSLhzQjIr5TmNyeC4uuVlHQMmjYhvCWCPu+vlPDfX7EMto6E+MpIhduU 0JshkZAPGXk490V3Wf//X7Pxj42k9aMjI3OLgj+3LomkfrhOSuO1LRL6CSmp O8NZojoRSf3gDymRZ+cc7Xktkp7HfZWSXptOmRs8jIT4SskU6fbJ999GAp9K Kf7yI6l+PZfS5/2JhHmZlJQ1fXfMF0ZBvUiJ9MKQjbPaRYFeSAn7euXQKPBn Uhr/GVFwPigl7a5+sE9dHgX9hYwMGd9jfdetUcA3MhKVt/7uyX1RlI87ysgA o44jdx2Non6hB8TrdBTokYzi9XYU1JuM4u1lFO33T8lI0sz5YYVfo0D/ZSR6 y+vD9n+jKL9WyAjesGhbZWMU5XcTOexPRf1cOzk5tv/ts9MKFeRbTt7Mr8t0 76Ci/HJdThLN5Bz+GBXgUUHxvEBF49lPQXbvPRO5baMK+hf4fB98f6eCmPmW vGw+poL1Kmj9nFMBHyvIuS5lzqJkFe2P7yjI+xf8lk8fVLR+qhSQHxX1e/om JPnx6tg9TSrqv6UmND/8LrA+E+LAS0RhRv+/Zuvfrwv1vy8UZOc0B5807y7A bwqydOeA4AkWXWj9r1CQM1aTxIHSLlT/pyloPAy6gH9RkC99DoZP5ML9eito /ltVtD+KUJCaJQsmTi1UUX+npyBXKkTL4j6roF7l5J4dYx3zVkX9yFs55bsM +P19Od3/YxXln2tyMqj9g1nT2+JD9VIO+FdRPPaR03juV9H6VspJv28pqtvb VeBv5TRem1T0fWoe3H+tCuaJMjJffqc8e6oK/JeMfFP/96EYzfNkxPtLYHL8 UBXMw2Tk8ZFBMb/7Aj5CZDQ+PVQw/5CRT04mXptVKsr3chl51Wvmzb5egLdU KZl952K6q52K9msbpPT7JirQf6hHI83+pJT/2vBK9UdK46enovMVDynF268o qG8J3c+XKJi/AJ+9jaL9ySYJWdA5SnjleRTws4QcmdEr5eXDKMrn4yWkxWM3 yUyOoucVbhIyraPF8gPHoiCfElr/ezTPMya6CSf+rNgC3z9tTMQrXs3ZtzYK 9MKY6tMKzfOMifsal5WPJkWBnzKm+RkZBfwrpt8fEAV+T0z5t0cU6LuYrJtS c/JoZBSc34jJDxd85XhnzfPFJGhdP4McxyjQVzHJrtusSDGNAj0QU7yJoqCf FtP486Jgfgx60hoJfk5MUmx27upeHAnnNWIysiA3483nSKgHMWn/dXTI1kzg 39Fiuv/H//89+zmJ1N5fqNPBX3wrEvReTE6V5dcOOxapXR/L37siAX9iMtr4 3+/nN0TCPFRMNuxecnvhCtCHeDFxUpoNUSz+//WK4phxpvP/f83y04hIiL+Y 6nnfSJh3i4mv4Naj/l0itfFg+Q79fz/7/6bGRYZGgh8Vg9+JBL0HPVZEAt+L yaJJz203Gmj0T0wa3q7dYasXCf2WEeWn5giYNxoRpiqEv7YgAv6/gxF93scI 4H8jiG8E9INGFD9PI8DvwO/TI6CewY9cjND6K5avTkRAPyKieDsYAf2TiOJj dwT4U0OSd+LcdPMVEbBfQ+oP4jXPM6T+amYE6KsBxcOUCPA3BvT70REwDzCg 6+8XAfNEfYqnHhEw79AHvoiA+OvT7ysjAM9C6mc8I7T9AosvswjN/J/6A2kE 1JuA1mNLOMSXT/W2Phz8D5/qc364dv7zPzC+GCo= "]]}}, {RGBColor[1, 0, 1], PolygonBox[{{-13.098370614359172`, -2.415}, {-12.931370614359173`, \ -2.452}, {-12.782370614359172`, -2.469}, {-12.650370614359172`, -2.471}, \ {-12.534370614359172`, -2.46}, {-12.434370614359173`, -2.44}, \ {-12.348370614359172`, -2.411}, {-12.139370614359173`, -2.265}, \ {-12.080370614359172`, -2.111}, {-12.082370614359172`, -2.072}, \ {-12.093370614359172`, -2.027}, {-12.118370614359172`, -1.976}, \ {-12.163370614359172`, -1.918}, {-12.233370614359172`, -1.859}, \ {-12.337370614359173`, -1.801}, {-12.481370614359172`, -1.745}, \ {-12.641370614359172`, -1.7}, {-12.687370614359173`, -1.688}, \ {-12.746370614359172`, -1.673}, {-12.821370614359173`, -1.655}, \ {-12.916370614359172`, -1.631}, {-13.038370614359172`, -1.598}, \ {-13.191370614359172`, -1.551}, {-13.351370614359173`, -1.493}, \ {-13.395370614359173`, -1.475}, {-13.452370614359172`, -1.451}, \ {-13.524370614359173`, -1.419}, {-13.614370614359173`, -1.375}, \ {-13.726370614359173`, -1.315}, {-13.865370614359172`, -1.233}, \ {-14.007370614359173`, -1.14}, {-14.046370614359173`, -1.113}, \ {-14.095370614359172`, -1.078}, {-14.157370614359172`, -1.033}, \ {-14.233370614359172`, -0.974}, {-14.327370614359172`, -0.899}, \ {-14.441370614359172`, -0.802}, {-14.565370614359173`, -0.692}, \ {-14.598370614359172`, -0.661}, {-14.640370614359172`, -0.622}, \ {-14.692370614359172`, -0.573}, {-14.756370614359172`, -0.511}, \ {-14.834370614359173`, -0.433}, {-14.990370614359172`, -0.272}, \ {-15.016370614359172`, -0.244}, {-15.049370614359173`, -0.21}, \ {-15.089370614359172`, -0.167}, {-15.139370614359173`, -0.113}, \ {-15.200370614359173`, -0.046}, {-15.274370614359173`, 0.035}, {-15.308370614359173`, 0.073}, {-15.312370614359173`, 0.076}, {-15.389370614359173`, 0.162}, {-15.443370614359171`, 0.222}, {-15.485370614359173`, 0.268}, {-15.516370614359172`, 0.303}, {-15.642370614359173`, 0.438}, {-15.686370614359173`, 0.484}, {-15.719370614359173`, 0.519}, {-15.840370614359173`, 0.641}, {-15.884370614359172`, 0.684}, {-15.920370614359172`, 0.718}, {-15.948370614359172`, 0.745}, {-16.081370614359173`, 0.867}, {-16.121370614359172`, 0.902}, {-16.15237061435917, 0.93}, {-16.28637061435917, 1.044}, {-16.331370614359173`, 1.081}, {-16.367370614359174`, 1.111}, {-16.500370614359174`, 1.218}, {-16.551370614359172`, 1.258}, {-16.592370614359172`, 1.289}, {-16.624370614359172`, 1.314}, {-16.77737061435917, 1.428}, {-16.822370614359173`, 1.46}, {-16.857370614359173`, 1.485}, {-17.002370614359172`, 1.585}, {-17.049370614359173`, 1.616}, {-17.086370614359172`, 1.64}, {-17.23437061435917, 1.732}, {-17.278370614359172`, 1.757}, {-17.431370614359174`, 1.841}, {-17.474370614359174`, 1.863}, {-17.633370614359173`, 1.937}, {-17.91137061435917, 2.032}, {-18.178370614359174`, 2.068}, {-18.377370614359172`, 2.072}, {-18.64137061435917, 2.095}, {-19.019370614359172`, 2.122}, {-19.22237061435917, 2.122}, {-19.311370614359173`, 2.12}, {-19.400370614359172`, 2.115}, {-19.490370614359172`, 2.108}, {-19.580370614359172`, 2.101}, {-19.669370614359174`, 2.091}, {-19.758370614359173`, 2.081}, {-20.07937061435917, 2.04}, {-20.46937061435917, 1.995}, {-20.796370614359173`, 1.982}, {-21.063370614359172`, 1.998}, {-21.27737061435917, 2.034}, {-21.446370614359175`, 2.078}, {-21.57937061435917, 2.122}, {-21.683370614359173`, 2.163}, {-21.764370614359173`, 2.198}, {-21.82737061435917, 2.227}, {-21.87537061435917, 2.252}, {-21.912370614359173`, 2.271}, {-22.264370614359173`, 2.489}, {-22.480370614359174`, 2.665}, {-22.571370614359175`, 2.778}, {-22.565370614359175`, 2.836}, {-22.494370614359173`, 2.854}, {-22.38437061435917, 2.848}, {-22.257370614359175`, 2.832}, {-22.12837061435917, 2.813}, {-22.00637061435917, 2.795}, {-21.89637061435917, 2.781}, {-21.800370614359174`, 2.771}, {-21.71937061435917, 2.764}, {-21.651370614359173`, 2.759}, {-21.912370614359173`, 2.771}, {-22.196370614359175`, 2.803}, {-22.371370614359172`, 2.815}, {-22.45737061435917, 2.796}, {-22.39037061435917, 2.642}, {-22.278370614359172`, 2.545}, {-22.132370614359175`, 2.44}, {-21.895370614359173`, 2.3}, {-21.85937061435917, 2.281}, {-21.813370614359172`, 2.258}, {-21.752370614359172`, 2.229}, {-21.675370614359174`, 2.196}, {-21.575370614359173`, 2.157}, {-21.44837061435917, 2.116}, {-21.287370614359173`, 2.074}, {-21.087370614359173`, 2.041}, {-20.843370614359173`, 2.024}, {-20.554370614359172`, 2.034}, {-20.22537061435917, 2.072}, {-19.87637061435917, 2.127}, {-19.544370614359174`, 2.182}, {-19.212370614359173`, 2.244}, {-19.180370614359173`, 2.252}, {-19.142370614359173`, 2.262}, {-19.098370614359172`, 2.276}, {-19.047370614359174`, 2.293}, {-18.986370614359174`, 2.315}, {-18.90837061435917, 2.341}, {-18.79537061435917, 2.369}, {-18.584370614359173`, 2.389}, {-18.532370614359174`, 2.389}, {-18.46037061435917, 2.385}, {-18.361370614359174`, 2.374}, {-18.221370614359174`, 2.349}, {-18.023370614359173`, 2.297}, {-17.740370614359172`, 2.193}, {-17.58837061435917, 2.125}, {-17.544370614359174`, 2.104}, {-17.487370614359172`, 2.076}, {-17.412370614359173`, 2.037}, {-17.31537061435917, 1.984}, {-17.188370614359172`, 1.912}, {-17.023370614359173`, 1.813}, {-16.807370614359172`, 1.677}, {-16.528370614359172`, 1.496}, {-16.179370614359172`, 1.273}, {-16.144370614359172`, 1.252}, {-16.10037061435917, 1.226}, {-16.043370614359173`, 1.192}, {-15.970370614359172`, 1.15}, {-15.878370614359172`, 1.099}, {-15.759370614359172`, 1.039}, {-15.609370614359172`, 0.97}, {-15.418370614359173`, 0.899}, {-15.174370614359173`, 0.839}, {-14.859370614359172`, 0.821}, {-14.583370614359172`, 0.862}, {-14.566370614359172`, 0.865}, {-14.537370614359173`, 0.872}, {-14.251370614359173`, 0.965}, {-13.858370614359172`, 1.129}, {-13.485370614359173`, 1.284}, {-13.133370614359173`, 1.398}, {-12.808370614359173`, 1.463}, {-12.517370614359173`, 1.48}, {-12.263370614359172`, 1.461}, {-12.047370614359172`, 1.42}, {-11.867370614359173`, 1.368}, {-11.719370614359173`, 1.314}, {-11.601370614359173`, 1.263}, {-11.505370614359173`, 1.217}, {-11.428370614359173`, 1.177}, {-11.368370614359172`, 1.144}, {-11.320370614359172`, 1.117}, {-11.283370614359173`, 1.095}, {-11.064370614359172`, 0.954}, {-10.810370614359172`, 0.767}, {-10.557370614359172`, 0.56}, {-10.307370614359172`, 0.336}, {-10.062370614359173`, 0.102}, {-9.825370614359173, -0.136}, {-9.596370614359172, -0.372}, \ {-9.375370614359174, -0.602}, {-9.165370614359173, -0.822}, \ {-8.966370614359173, -1.03}, {-8.778370614359172, -1.223}, \ {-8.600370614359171, -1.401}, {-8.434370614359173, -1.564}, \ {-8.278370614359172, -1.711}, {-8.132370614359171, -1.844}, \ {-7.996370614359172, -1.962}, {-7.869370614359172, -2.069}, \ {-7.750370614359173, -2.163}, {-7.639370614359173, -2.247}, \ {-7.536370614359172, -2.322}, {-7.440370614359172, -2.388}, \ {-7.351370614359173, -2.447}, {-7.267370614359172, -2.499}, \ {-6.9973706143591725`, -2.648}, {-6.7233706143591725`, -2.769}, \ {-6.525370614359172, -2.837}, {-6.3803706143591725`, -2.876}, \ {-6.273370614359172, -2.9}, {-6.192370614359173, -2.914}, \ {-6.132370614359172, -2.923}, {-6.085370614359173, -2.929}, \ {-5.883370614359173, -2.943}, {-5.7553706143591725`, -2.944}, \ {-5.639370614359173, -2.939}, {-5.535370614359173, -2.931}, \ {-5.326370614359172, -2.901}, {-5.007370614359172, -2.825}, \ {-4.8003706143591724`, -2.758}, {-4.661370614359172, -2.704}, \ {-4.563370614359172, -2.662}, {-4.492370614359173, -2.63}, \ {-4.4413706143591725`, -2.606}, {-4.402370614359173, -2.587}, \ {-4.160370614359172, -2.451}, {-4.039370614359173, -2.368}, \ {-3.959370614359173, -2.306}, {-3.9043706143591717`, -2.259}, \ {-3.866370614359173, -2.223}, {-3.7363706143591724`, -2.069}, \ {-3.690370614359173, -1.992}, {-3.661370614359173, -1.933}, \ {-3.644370614359172, -1.887}, {-3.6083706143591723`, -1.727}, \ {-3.6033706143591733`, -1.647}, {-3.6043706143591727`, -1.586}, \ {-3.6083706143591723`, -1.538}, {-3.637370614359172, -1.372}, \ {-3.658370614359173, -1.296}, {-3.676370614359172, -1.238}, \ {-3.692370614359172, -1.194}, {-3.756370614359172, -1.042}, \ {-3.788370614359172, -0.974}, {-3.814370614359172, -0.922}, \ {-3.836370614359172, -0.883}, {-3.927370614359173, -0.729}, \ {-3.9603706143591726`, -0.676}, {-3.987370614359172, -0.636}, \ {-4.095370614359172, -0.486}, {-4.129370614359173, -0.442}, \ {-4.155370614359173, -0.409}, {-4.272370614359172, -0.274}, \ {-4.302370614359173, -0.242}, {-4.428370614359173, -0.117}, \ {-4.561370614359172, 0}, {-4.695370614359172, 0.106}, {-4.938370614359172, 0.286}, {-5.075370614359173, 0.395}, {-5.202370614359173, 0.505}, {-5.283370614359172, 0.798}, {-5.235370614359172, 0.801}, {-5.186370614359173, 0.798}, {-5.141370614359173, 0.79}, {-5.100370614359172, 0.781}, {-5.0663706143591725`, 0.772}, {-4.866370614359172, 0.695}, {-4.720370614359172, 0.62}, {-4.585370614359173, 0.539}, {-4.465370614359172, 0.459}, {-4.362370614359172, 0.385}, {-4.276370614359173, 0.319}, {-4.312370614359173, 0.321}, {-4.3803706143591725`, 0.37}, {-4.458370614359172, 0.423}, {-4.546370614359173, 0.478}, {-4.640370614359172, 0.531}, {-4.819370614359173, 0.603}, {-4.842370614359172, 0.607}, {-4.847370614359172, 0.558}, {-4.621370614359172, 0.376}, {-4.587370614359172, 0.349}, {-4.452370614359172, 0.243}, {-4.416370614359172, 0.212}, {-4.279370614359172, 0.094}, {-4.246370614359172, 0.064}, {-4.206370614359173, 0.026}, {-4.088370614359173, -0.09}, {-4.058370614359173, -0.122}, \ {-4.0213706143591725`, -0.162}, {-3.908370614359173, -0.291}, \ {-3.8803706143591725`, -0.327}, {-3.7743706143591726`, -0.47}, \ {-3.7523706143591724`, -0.503}, {-3.725370614359173, -0.546}, \ {-3.6363706143591727`, -0.696}, {-3.615370614359172, -0.736}, \ {-3.5873706143591733`, -0.79}, {-3.507370614359173, -0.954}, \ {-3.488370614359173, -0.998}, {-3.4633706143591727`, -1.056}, \ {-3.432370614359172, -1.135}, {-3.378370614359172, -1.292}, \ {-3.3643706143591725`, -1.339}, {-3.3483706143591725`, -1.402}, \ {-3.331370614359173, -1.485}, {-3.314370614359172, -1.693}, \ {-3.315370614359173, -1.734}, {-3.320370614359172, -1.786}, \ {-3.333370614359172, -1.855}, {-3.3613706143591724`, -1.945}, \ {-3.421370614359173, -2.064}, {-3.5313706143591723`, -2.204}, \ {-3.573370614359172, -2.245}, {-3.6363706143591727`, -2.3}, \ {-3.7333706143591723`, -2.372}, {-3.8913706143591718`, -2.472}, \ {-4.166370614359172, -2.614}, {-4.3643706143591725`, -2.7}, \ {-4.565370614359173, -2.778}, {-4.605370614359172, -2.792}, \ {-4.659370614359172, -2.811}, {-4.733370614359172, -2.835}, \ {-4.8323706143591725`, -2.865}, {-4.971370614359173, -2.903}, \ {-5.169370614359172, -2.948}, {-5.460370614359173, -2.991}, \ {-5.768370614359172, -3.006}, {-5.868370614359172, -3.003}, \ {-5.977370614359172, -2.995}, {-6.0983706143591725`, -2.982}, \ {-6.230370614359172, -2.96}, {-6.376370614359172, -2.928}, \ {-6.5373706143591725`, -2.882}, {-6.714370614359172, -2.819}, \ {-6.911370614359172, -2.734}, {-7.127370614359172, -2.622}, \ {-7.366370614359172, -2.477}, {-7.629370614359172, -2.294}, \ {-7.916370614359172, -2.068}, {-8.228370614359171, -1.795}, \ {-8.381370614359174, -1.651}, {-8.448370614359172, -1.587}, \ {-8.516370614359172, -1.521}, {-8.584370614359173, -1.454}, \ {-8.654370614359173, -1.385}, {-8.724370614359172, -1.314}, \ {-8.796370614359173, -1.242}, {-8.867370614359173, -1.169}, \ {-8.940370614359173, -1.094}, {-9.013370614359172, -1.018}, \ {-9.086370614359172, -0.942}, {-9.161370614359173, -0.864}, \ {-9.236370614359172, -0.786}, {-9.311370614359173, -0.707}, \ {-9.387370614359172, -0.628}, {-9.463370614359173, -0.548}, \ {-9.539370614359171, -0.469}, {-9.616370614359173, -0.389}, \ {-9.692370614359172, -0.31}, {-9.769370614359172, -0.232}, \ {-9.846370614359172, -0.154}, {-9.923370614359172, -0.076}, \ {-10.000370614359174`, 0}, {-10.077370614359172`, 0.075}, {-10.154370614359173`, 0.149}, {-10.230370614359172`, 0.221}, {-10.306370614359173`, 0.292}, {-10.382370614359171`, 0.361}, {-10.458370614359172`, 0.428}, {-10.533370614359173`, 0.493}, {-10.664370614359173`, 0.603}, {-10.701370614359172`, 0.633}, {-10.747370614359173`, 0.67}, {-10.806370614359173`, 0.716}, {-10.881370614359172`, 0.772}, {-10.974370614359172`, 0.84}, {-11.091370614359173`, 0.919}, {-11.235370614359173`, 1.01}, {-11.410370614359172`, 1.108}, {-11.619370614359173`, 1.207}, {-11.863370614359173`, 1.295}, {-12.141370614359172`, 1.357}, {-12.443370614359173`, 1.378}, {-12.760370614359173`, 1.344}, {-13.073370614359172`, 1.253}, {-13.364370614359173`, 1.113}, {-13.611370614359172`, 0.939}, {-13.791370614359172`, 0.742}, {-13.795370614359172`, 0.735}, {-13.833370614359172`, 0.663}, {-13.855370614359172`, 0.531}, {-13.832370614359172`, 0.441}, {-13.791370614359172`, 0.376}, {-13.747370614359173`, 0.33}, {-13.705370614359172`, 0.297}, {-13.669370614359172`, 0.273}, {-13.513370614359172`, 0.201}, {-13.356370614359172`, 0.16}, {-13.213370614359173`, 0.137}, {-13.089370614359172`, 0.124}, {-12.983370614359172`, 0.116}, {-12.895370614359173`, 0.11}, {-12.822370614359173`, 0.105}, {-12.763370614359172`, 0.101}, {-12.716370614359173`, 0.097}, {-12.678370614359173`, 0.094}, {-12.324370614359172`, 0.044}, {-12.026370614359173`, -0.04}, {-11.763370614359172`, -0.157}, \ {-11.539370614359173`, -0.295}, {-11.355370614359172`, -0.438}, \ {-11.209370614359173`, -0.575}, {-11.096370614359172`, -0.697}, \ {-11.009370614359172`, -0.804}, {-10.944370614359173`, -0.893}, \ {-10.895370614359173`, -0.967}, {-10.858370614359172`, -1.026}, \ {-10.831370614359173`, -1.074}, {-10.810370614359172`, -1.113}, \ {-10.722370614359173`, -1.307}, {-10.673370614359172`, -1.468}, \ {-10.647370614359172`, -1.632}, {-10.650370614359172`, -1.797}, \ {-10.687370614359173`, -1.964}, {-10.766370614359172`, -2.132}, \ {-10.900370614359172`, -2.302}, {-11.102370614359172`, -2.473}, \ {-11.396370614359173`, -2.638}, {-11.691370614359172`, -2.743}, \ {-11.784370614359172`, -2.766}, {-11.885370614359172`, -2.786}, \ {-11.993370614359172`, -2.802}, {-12.109370614359172`, -2.813}, \ {-12.004370614359173`, -2.797}, {-11.792370614359172`, -2.76}, \ {-11.604370614359173`, -2.708}, {-11.439370614359172`, -2.645}, \ {-11.293370614359173`, -2.574}, {-11.166370614359172`, -2.499}, \ {-11.058370614359173`, -2.421}, {-10.965370614359173`, -2.34}, \ {-10.886370614359173`, -2.258}, {-10.822370614359173`, -2.174}, \ {-10.770370614359173`, -2.088}, {-10.731370614359172`, -2.002}, \ {-10.703370614359173`, -1.914}, {-10.686370614359173`, -1.824}, \ {-10.679370614359172`, -1.734}, {-10.682370614359172`, -1.643}, \ {-10.693370614359173`, -1.55}, {-10.714370614359172`, -1.457}, \ {-10.742370614359173`, -1.364}, {-10.779370614359173`, -1.27}, \ {-10.822370614359173`, -1.177}, {-10.872370614359173`, -1.084}, \ {-10.928370614359173`, -0.993}, {-10.990370614359172`, -0.903}, \ {-11.058370614359173`, -0.816}, {-11.130370614359173`, -0.731}, \ {-11.206370614359173`, -0.65}, {-11.286370614359173`, -0.573}, \ {-11.369370614359173`, -0.5}, {-11.455370614359172`, -0.433}, \ {-11.542370614359172`, -0.371}, {-11.632370614359173`, -0.314}, \ {-11.722370614359173`, -0.264}, {-11.814370614359172`, -0.219}, \ {-11.906370614359172`, -0.181}, {-11.997370614359173`, -0.148}, \ {-12.089370614359172`, -0.121}, {-12.180370614359173`, -0.1}, \ {-12.270370614359173`, -0.084}, {-12.360370614359173`, -0.073}, \ {-12.448370614359172`, -0.066}, {-12.768370614359172`, -0.07}, \ {-13.171370614359173`, -0.118}, {-13.533370614359173`, -0.169}, \ {-13.853370614359171`, -0.213}, {-13.962370614359173`, -0.233}, \ {-13.972370614359173`, -0.236}, {-14.149370614359173`, -0.302}, \ {-14.224370614359172`, -0.376}, {-14.245370614359173`, -0.454}, \ {-14.235370614359173`, -0.53}, {-14.208370614359172`, -0.598}, \ {-14.175370614359172`, -0.658}, {-14.141370614359172`, -0.708}, \ {-14.109370614359172`, -0.749}, {-14.082370614359172`, -0.782}, \ {-13.962370614359173`, -0.907}, {-13.727370614359172`, -1.098}, \ {-13.495370614359173`, -1.243}, {-13.288370614359172`, -1.344}, \ {-13.112370614359172`, -1.414}, {-12.968370614359172`, -1.462}, \ {-12.852370614359172`, -1.496}, {-12.759370614359172`, -1.522}, \ {-12.686370614359172`, -1.542}, {-12.629370614359173`, -1.558}, \ {-12.584370614359173`, -1.571}, {-12.425370614359172`, -1.62}, \ {-12.072370614359173`, -1.826}, {-11.993370614359172`, -2.169}, \ {-12.036370614359173`, -2.246}, {-12.106370614359172`, -2.322}, \ {-12.211370614359172`, -2.393}, {-12.356370614359172`, -2.452}, \ {-12.551370614359172`, -2.488}, {-12.805370614359173`, -2.486}, \ {-13.131370614359172`, -2.419}}], {LineBox[CompressedData[" 1:eJxFW2V4U1kTTi2ppG2Spl6qaZt6rC2657C4uyywSD9g0cKyLLa4u7u7Oyy2 wB0ciiwUXwoUSnGoewtfc2cS+MNzntyee87oOzPvDUkZ1r6frUQiibGXSMz/ 9z77OkOeFsqfa6RTVjSwh+uhzRr8kRvKg2Z8ancq0B6GLJvZqnnHML46VTUN 0uygeZZH9qn+YbxrrePXR523g4OBBabGE8N41o51l4MP28HqRpp6+WvD+DDz 41vsoO6JPk1unA/jCeIL7HA/tYb3rfOyzYJVdtCj/4ND3WI11ucdp8WrV7bQ 8NYpiupX2MHxTbPH3NursZ4nrdXdX1oKGl7P+fG24fXs8X3/afi90GdlEwfR 7981/GCTV+PUB+3hdbuIAWP14dz8tlSVA3TO/mnIv5PC6fwOcCY48GyPVeG8 WNtj0cUiByh88NbgfzKc777aInlOfSlcLbkQu/ZVOH96p6RD1g4pHB1pk1Lq H8EHLPkyniXK4O6dfhseD47gMbO8qh+RAZcPH/lXRgRP7HmmmdzWCZbneCr4 hEhu3l3bwxm61Wm1ZsrzSN5cblv9Jy7wtUO7nEXOWr6+WnojBrhAzyXdrxrr aPmpQPOFXSC4R5XLx1QtF6/rLEf579TySL3j/oBucmi/SMdqvNZyt7ijG3J2 yWH6qozuoxtH8UmDzo5c5uOK7/s1it8YdX6TX4IruNlf7hJyKor/pTZLyBXe 7jKtiPk3incTFeIK9nHB77LionlpB7NGXcHk3OhL3wbR3Fa8oCvY2q6569wr mv/cO/tu6DNXGAc1P9U6G83FZZkrvKjwrnPtfjSXiP/cYPiH5eMq86L5Zj+z Bbjh+9rE8D+X+dh3dnODsy12pCf2j+F789JbpSjc4OKWY9/fTfuxFn9/G0P3 d4P0ss/HDpfH8IdjPkToHd1A3S19+n3PWOv+U4d0arQxOZbk7waXb9X2urA0 lvTrCpPr34m/sjuWX0jb0uhEgStk3F2s+Xo5lncWBUi/v4/ln9uZNeAKp4pW 7pjWNI63rLaG3tmusHiNLGtBrzjuLRqEK0i77qo6O/7HWtTH1h9r0f6/xVn3 m3nxfyPaesZb34f2GW89n/h7p3ir/EJnTQ+9dC6eF1Y9qL4x3Sc9nn8zL/Vu qK8v8fwP0SDdQPJYeUavSOCiOXZww/PVTeC/iw7jBgHSnBfJSxLIv9xg7fB9 HW7uSeDi8robxPbULpNcT6D7usH+gsGBQ3MSSF/uMH5F+aH+0TruLzq0O5Q9 SHALMen42jXmf+5wdUvlf1+4jn+t9o6eZ9xhT5PVm9za6Wg/dzhf9HLynH46 LrqDuwL6Ltm+pdZqHdmzAvxmbB11dIuOnyiovvBABfxyRqKvPKDj1c5RfUEF HLoel7XmnI7iiQKqon+qc/+ejpujR6MTClh1+fGDIZ903Oz9TV4pYN7F/a06 q/R8e7X1PA5Twofxxb90raHH55OU+HyMHu27tRL3r6fnYnhKVcLMIRuDt3fU o7+uVOL95+r5vCHvKvbkKQGCf1uVslzP25rDi50K779Zj/HNWwXDl/2rbXtE z32rpRdnUEGLBa2Xya/q+dZq66vqqIJazguvD8rUc9F9JqrAZkrLATPcDVwM h1dUkL4tMsXez4DPP1BB/7Mxp1SRBowX71WwodFQn9JkA9mLByxLvbHrTCsD N3vH/gAPWOf31iZooIGbjzeNe0Aj+ek2U9YYeGNRwB6QMe5mev3tBi6G1xke kPxSenTJEQMvn2gOIB5Q8f2EpvyigZujx/PtHpCn9Th+9omB9OuB9y808KFm caR7QEGHtWkrIo18ZQOzhDzAp5t/76cGIxfDkb0aFnwx9k2ob8R446qGHXlz RvToYET78VXDiWaXIsIHGcne1aB6OiOg9Uwj35izqzoiq6G925tHq44aSV9q sN9/f2LP80aydzXcCl0aOPa2EeNTdzXsHxF04t1LIxfNq68aiieGvEotNqL/ DVODrufvqdJwE8aT2Wo4uGHnLYg3ob0vVEPvOitHzqptIntTw+RPjs99mpq4 mD42qaFpyrXxxi4myjdqaGnWb38TyhvUsNds/7+b0L7/U0OwtOaZeqkm1Pc3 NcQ6/q9+xyYmyieeaD8SE8aP/3mifB8YMT786QnT63s737xipPjtifax1kj6 84SPuyYM1883cnP0i5nlCQ3N+h5rpPt5Qk7VvA1ZzX6sR6n7DXlWz4jxc6Yn 2k8c6Wu6J9qXt5Hs0xMiZt2uul5u4GK4GOUJ79oNazDpjsF6XlG/Fwx8tNlg fvWE67em5V09RPbR3hPtZ7UB80tDT7THsQaUX7wn1En0fNmgjYGHm+GIiyc8 0ZzbsSjCgPp7Q/qo9od8c3p4ogbnuIEXPzgbeFOz+K+pId74sUtcsR7j4xE1 fEm3n+X8TI/5f6kazqZ1HXT4hJ73F/+p0R9n6nmUmKDVeJ5aen6pyCxwD/TH BD3q528PSB3QVDU6VM/N0ezuVvIXpZ6bvaHZfA84FlhX0bJCR/HDA+zM9vlC h+dr4gGPyhIXnThJ8cvTA7Zdte0xbbqOi+ntsQoCnx3e1pfpMN/NVWH8PptA 9qGCJ+OmltTZlcDFcByngvGfBBuPeQkU31SEzxIo/6sQzyQnkDxVEG3cMj6y LJ78U0l4Ip6HiAFWCevXGQZtrxnPK6u9udVrJWwNuH4gYUccv2aGQ5lKSHk3 sCD7SSze76sS5E/r1m+6x5JPldC/3pjg1aNiMb6UKuHN+AMT2/NYik8qKP4+ tFmhgyVfqyAzYlO7zVst+V4FK/02RPjOjyG8poKllxeW9U+N4aK5q1WYn5rG WOMr5v8Yih8qxJcPovm/Zrjmr8L8OzHa+vvhZuNaBLlGW9+H543iZvR4tlAJ H6t+vvh8v5Ybzf+OKQnfasnflaA56lJrfUstzzWHozlKeNSmIjPFR2vNF3uv v5Etz4zkNcQAZ5FfJNm3kvBOJPqnTAmp5137hoVFEp5SQMTzpW3+fBbBG4oJ RoF4aVEE32mG1yMUiCfrRVD+UuD+2eGYLz+4gyKhRWr5zHDCm+5WPIx42w3x 6icN5VM3SEq8ZfdTuobyrxvikSMasi83xJMzNVZ8cmtMl+HhrTWE912hda1Q 1WB7Db3PlfQZRnhQjngpKAzz/SI54eVQsmc5fNs3d1tXm1AuitdPDl0VV6fu vhNC+pajva3+sR41KPr8rJ4hhJ8t+4dQfSAn+QXT+eWwe8OveWeWBBM+ksP8 BmV/P6sfzMV01FkOA5gyb+vDIMJHcohNrN3K4BOE/jJPDg1rLe7eq3kg1Sdy WB2QVBI2uAbdXw5P2i0/MnR0AB8rJlw51Ezu96Dp7/7Wv9+84WbtQ138rO/n WVPiD8T6Uv50gSErggI7FXiTfJ1h/6biC1cOe3HzXw955wS3xuVy3VBPwleO sHi47wYhQU3ykkFlF88mR2w9yB4d4HgLj4Doz0ryL3vYXvD0tz5FCsJHtnCr zcDoLoGWtQ1oU65PcL7lRvHCBmouGudf/ocr4VUJKHqOGPbc15XOJ4EBFw+0 jtslJ/+xAcdZd75tcpfzCWIAtIG+9X1cttZ2IfnYgGJO2YwT750wfvS2hfkb dt1e9T8Zv2Iud5bYwfJmlyMrN0oJH9rB7hIXp9HHHKz1KNz9T3JzpT3ip6P2 UDp92+g5SXZkPw7A+wfOT55oQ/jDASaHtmgUsvYbQ/lLQZIyeduzrFKG75fB qckOi+LWFzGsb2TQOyDt0HO3QobxTwazW6V3Lx+Qz9DeHAG67Pk+aGcuQ/zh CLpRG5N6LfzCEG84giRn1q+LV35gWH86Qm9t3QhZp2yG+bF6vefewKUXMq3r ydeSPmufPmaIR6rXd2+fC32YxtA+qvcTHXIrw3jpCLz8/qxlgZcEjD8yyCys tysn+pGA+E4GOl+NcOP2K0G87hApZL5aO2Hg+/cC3t8BgsMGH8yonSugfdtD 5hd54dL4QgHtxw50944u6tKmVEC8YAOHFe+/KNdU0vPfhcKSdeceTJMA1qcV wvrz7wp/vWILWF+VCG82pTjJXR1AzBcp+ULslOc1znSUgbkavdrik+C4M2tj m9VOgPp5JWQUNDq0654LiPm76z3Bvu3D3zeUuwLizQGC26SFUfNlChDFU+df lt/miP1MqRJQ/8/ZxLOrJbrqvIL2+IYdutywxtwMFYj4VPORtXOuUMw+4gGY 37+yY34dmtcdpwbUby6bOeDvbsuNniC6c6N85jvl9OGtmZ6A+bmAdUicGtln sheg/AtZq+Ofsx56eAPirUIWGvfIWbbeG8IwYbDPd/wvlPv6AOLzQnb9+tqY kwt9AOupQrb605/hSWU+gPorZMtX/FY6rbsviObbs5A9CX7wctIMP8B6Ip+d HN5n9NdV/oDxPpc9Kmp5Y2dSACA++ET3CQARf4S+Y7+c8B78eUgAYLx9zaaq dsW99gyg979gL7YMDHMZ4U/ne4LnGesH6O8P8H3evoD2eYe1mNPvdmVDH8D6 9Br73i5j3vqX3nDfrK5al5mHRDPUe6Q36UdAeUm8Afsfx9i5vOIzY6d7kT5X 0+9egPh/p4B/7wkdxQABAu6vBqwvbwv4fjWd55FQskPQ16yuO1AfmcLsZXV/ H2rrQfaQLWwa4jLwQj8V2d9noaHj3Tm/P6nOw2J8yhe6ivJRkjyLBV232buL GygB/a9CQH0qAeuh6viWdcMxoxpnYDyyAfF8vVSA/mELoxTjd948qwLsp9hB wH5+7a8ED8D8bQeL2S83753zAIzH9vDTrNqN3w5Wg4gnjA6A7/ckfTjA3POX ZjVu50X+IIVdPtpL4Vu8AeO9FNZ6VdVxb+oLmJ+l0CfFdKXtbl/A+CeFA2vO SY+4+pF8pSD6xxg/0r8DnF73fsG1t36A+N0BxvWfe39CN3/A+soBhICJ99rf 9yd7tocdXzbvb9k+ACzx132vJ+/3KAAs/TiURw1AfGYHC9Xpx0u/1qDz2cK2 i74r/5gWCBh/bKBuj2MJrjWCQMSn2yQkvyDyt++CX9ebgx7oggHjUZVwdsOU nukzggH7X+XCsvr56zIyggHzeamwqUGNsILEENJXkfBqm22h55IQ8q98oZ7x yoefvoQAxuccof6c+155zUMB4+sHobebMGDPnlDAflKWII/xvf3GMQwQbz0V TjX5Qx88IIz2SxMe3eo57cnVMEB8t1QYcObZRddwDSDeuMJejvnred2pGopv D9nB4f/C6+ca8pdM9mDL4yHfk8NJ3tmsg3z5q6WLwwHz/wemmBJZvvJtOGC/ 6Atzliw94VI7Am7fMv/LZXeCf44aOS+C7Def3W1xg7X6L4KeL2BTP5x65xER SecpYiOWTDK2GBZJ8ipmorz+jqT7luD+5ZGA/c8SdvTq8y/L62gB83cp/j5O S/ouZbHP5iWOOqGFm2Z4X1XKFkCPru1ytSCG/5gyFn3YPmhDZBTJt4yJ+urx Y311ZPi/7oujyF/K2OVmG08lXYgify+j/aJArBeflzK3zpuzznWJtp7nRMBn vya+MYB4oph1WxAVHnguhvJPEetx6nCdkhaxgPV5Aa5vxpK/5rN2r+Q3T9eP I3nl4fsOx1H8yEN5+sVTvMvD802JB8Sr+aSfePLnAob2lABieLhbyLLLFCHX DyZQ/ClmLlNeBC5x0lE+KmWaGaa483V0gHiinNWdM7fOp6E6in+VrNOCzGY+ m3VkL9/Y0CVJXRul6wDrUQkvrarRMcdOD9jvs+HTBzm0XZOoJ3na8sJd7pH1 +utJ/3Z845rXIzet1FM+sOO/Kbaoz1zRA9az9jxj22kfRaGe7MmBJzkWlfQK MYAobrmUH8rzjxrQygDYD5byxr3j92vHGCi+S3lVh9gpW7YYQDT3VjKefstz d/oNAyCeq8Z1aR+Dz+Ya6H0yrrQdmRLgZST5y/jPzsGTRtU20n4yfqvF5L5N fjVSfHfkI1W31t2d+GNts7f2wQ6bfjx/4Opy1aLzRsB6R8Z/Oq5sfznDSPlR xr9GjMs6Uma0vr/5ibpP//M0AeJzGZ/vFbq3Smei/CTjx5pEd/ZrYaL8LuMz V8zvP6KvifQp4w6SZs8cJpgIz8i4blav4w+WmwDxoIzLYu7mvdhnIn1b7ptI eEPKZ4PHhBZ/JJL/SHnTeX9ftLmWaJXfhZEZBU4eSYD9dRmP7/FkQ0W/JLJn Rz7iXcMZJcOSyP4d+ZgB/12fOj6J4o0jX37xJ/uU+UkkLyfeUbSnJMrPTvxB yfrz+04lkT848X7Zvt8yHyUB1RdctM+KJLqvM4+Wpg1vpk0meTvj+3okA84X XHC/1cmAeFfOV3654lfnWTLlN1eyp5q0vyvZZ01AfOrGfaY57dy1tSbt58a7 u41asO1WTfIvN+66v1/ioCc1KV658Vh9u1mhJ2tSvHAle6xJ+nbhw8+eSw3s U5PwqQvKt0lNwPrFmYv+GFUTaP7CJ34YJndzqkn5xYl7xFWMKXqTbJXf0lUn v8w+l0z+5shNz4e+mrk0mfKVjAvNOj3X9U2m/CjlqWZ/NSSTvzqgPVclWf2v 5atLOccuJ1F+teUNE3etaDMniezNhuwvCXCeJeG9+k4/08k5ieL3NybK72oi 7V/Jave0C1dNSiT7LWet5S2kC4yJ5K9lrG1yekD/1xb7LGMv7vCED1NNlN/K GMrPRPG/jInvG2Qi/6Tfu5oIP5Uz/6fe93/hJmgvCqyc7Rk+Mzsj2ET2WM7E eFNsJP1XMJSfxR8rKN4ZQeyPT6PzBxkB669KvJ/USPKpZPzl6gEbPhnIPirZ 4iG6x4fuGEhelWzfOtfKvw8ZCP9U4v4LDIDzyQqMvwMNdP8KNvfT2mWanw1k r+Usf/xsRV9vA+G/Mibq44Oe4l8p/n5ST/i8mF3a9D/nrCl6qhcKmegfTfUk vzwWcfifBquc9YD10hfc74aO6o+3TNT/dB3ltwwmxqu6lt+vsv9Chx6e+yaB 7OW8MOrdgt5VLRMA+7nPhEHZKU/fHosH7C+/Ez6N29m3g388xbNcwktxdN8i oWT8vU8DC2MB+09liHcGxhKerRREvPA2hvzju+D40HmzYXAM5RMbGD8gbPvs smiqL2wB8VU04VVbuBjovfVXQzTZgx0gPosCMZ1usAPEN1GA/W87wPtEkb7t ILXO79I1yii6jx3Ucfzpfr8XWrqvHe5/1IJH7KBv39srujfRUn6zhfRRbTtH RGnJXiXwZUfcX7HRWvIHCXzXfm10J0FL8pDAraIzqnV1tXS+78K2NTFtd3TQ kv1+E5o4D+w2frSW9FklHF7X+fE/+7WU3ysFEf8Ua0leFcLEZXvP9GkaZbF3 IevOHOecXlGERyqEkWelzTUTLfctF56Z9bs9iuy3XGjRe/Ss+IdRVH+V43k8 oil/lgk+cQ07VvSJpveXkv6j6b4lwvG8vvapadFUH5QIIv56F033LRE+tAlq PU4eQ/itWFi1SnJjYe0Yim/FuN8fMRRfiwRNwrBnyn9iCI8WCLPYNfVVu1iK R/mCiMe8Yyk/5RFejyV8lyeI+m5rwVu5JM9Ywoc5eL5dsSSPz3i/V7EUjz4I 81Y8rD8mJI7y51sB7SvOgpeFvIo6u180iaN8kiXsuHy0/8SUOMD+3WuhbFdX 2wbT4qj+yER73hcH2N96hveriKP8cA/15xhv6S8IiC/jAeeFaUJamrHyQlw8 YL/oioD2F0/5/Kwg4sH+8RRvd6G858eTfWxB/L8hnuzrKBPtY1M8iOFt5DEm 7nctnuLdZWboETLWJiue4tMtllKr8aSppfF0/3sMz5tA8eo+E+uVpgmA8+8M 1jnZv3RwL0v8eIH4dngCiP3vdZmsa8pWt0bV+BTj7xu2JXV7rVuXE8iestnk 8/p7tR9b/v4tK2rX/OHi7ASK3++YiHfUOvKPTxS/LfHsMxPzbaSO8BbFv2Y6 sr9c/PuOOsJPeSw4IUIi76kDMbxfzUP8O1kH2I8uYO93vNkUscCCjwvZ6evC mh2rdNb+ycL6e+DRJh1gf7MI339NB2I7+GkxE/N1NX7GfF/Cfq1VtW38M8v5 SthrTZse6yR6+r2MifhDrqf6vYwhftOT/Zezj3cHn/heR0/2VMHcH39u0aCJ HrD/VsnSgstapabqSb9VTPvs527Dx+rJX6ow/2zVE/77Zs03yC+R8FH1Ohzd E2egelnCxfP1NljiGeKN7RY8LUG8Ym8kfUn42gYPmnyp+WMt5sc2RuqPSfg/ BY0PT+xvJPuUIL6ZYCT9SfjAOtqYZcuNdF4JH7esz8vu+4wUDyRcPP9FIyD/ RcK35uRuaae24AEJt+AJyidMxMM3TSSv76ymcbxbLUUi4cnvqK8miZRPJYif RiSSfmn/5YnW+3Q59VvvvIMWvGzDDUffph24lEj42IZ7dp266M79RIqXNoh/ MxOpH2KL+O9DIsUjW/z7BklUP9jxu1sWLikbl0T3ccDzLE2iekzKr5rrmcUW /C3F+mNiEuVDKRfxVkoS9Vuk/LIZL9RPIvwi5btFvJQEyJeQ8kpz/WSTRPYn 5ZsvD5w3JjuR4qmUh3Y74JV9y3Jeqr9OJZK9SflUNrEW7Eyk/ouU8HiitX5D /0mk+CAlfGyRh5SL9itLpHgr5X+PODKk4LSJ8IiUi3hxq4n6RVLEp/NMln4U F+vTERb9ShGvV+NFizxE/FvPBDgPlHILXsT6V8YH9z9Uf4idifIn1VtvjCR/ wteXjVQvyFC+W40kPxlH/Guk+lzGx59/X2TqZiR7kHHEwz9+F8/vYqR+kQzP k2mg/hDVc8cNgPMkGdYPswyUr6RcxINdDJRvpFhPh1vwpgMv1+4YdD1fT/HK gb8d9+ucVuf11M+zx3pqtqXetuMdUn4xsnaWtS3vs8jlXryvnvKXDfp/po7q Dwl/FKp5OH2XjvL3N2b38MLl2FQd4ZkKVpy+sp5Xoo7qkzIm5t+SBMJLJSxe 6tGyzYwEwndFzMv2XL1QjwTKXwXW/IT+lc/E/BkTT3gsj7U5MeN45tE4ypd5 TMSXpjjSRx5DvBRL8slnIr7xjKV8UYD9od9iyH6K2LovbsV8tQXvlDARzw2M pv5LCea/mtEUH0uZiG8doik+lmI/6W4U+Vsp7RdF8a4U8++vP/pLVVX9E4qC f6yH9y8NGJGptT4v4tf1WqoHS1n/RR33mzpryR5LGeIprTV/2Hb8s8eu85EU z4uZiBeGRpJ/FVO/KpL6d4XU74ogPF7AxP5hvwi6fx5rlpg7vJM0gvw5h7Wa 922DbHs49b8/4vt+Cif9ZrOCiEvnTz7SUHx4ifIfoqH4l47vs9GQfE4wnX5t inZ5mLXfLuKXiDCqnx4JOXePL3E4HUrx+LWA/bRQwksfEN++DKHncwXV/oOK 4X+GkD4LsF6Rh5D/FxPeC7bkU0HEGw2DLfWccHfkyRn+aUGEV78L3p0Na28o g8jfJCDOY3oHkvxsIE8T/XX/yRqEJ2zhN7E/X4Pikx1Y5iFYL9uDOA/I9qf6 wx56JR84OPoXf7JfS7/bD3Ce6wD/tehe3LWjH8UrBxDnM89+9NedoiZXPh3o a4mP8H6M6/KmlT5gmS+K85YVPmDhh+J8yYfOK4XXJaPbnlvkRfqWgnj/5p6E v6XgcP/3fyNbqsl/HADnJx6A83rLfVSEx+zga9nWx/cHqMAyvztvft5eRfjQ Fs5eHbZ9899KsMx3cR6gpPxgA7a7P55qXaUg/VUJ8Qk2S2sUKaz99cnvgryd miipni0Qyitu9/x4QUn5+atQWx/ra2qtovjxTkgrCPl58XMVxddXgqbrryGZ gzzo/k+EPQ0OPf2WY5nf3BVGZhcuyh+qJvu6IJgOr3y4+5Wa6qPtQrBtm8K4 Vp7kX9uZOF855En9j7NMe3Bw66WOXqS/KyzzVm6tN+BF9naP4Xm8CY89s87j EG9nMjvx/j6E918zz5h903J/9iV9vmHiPCPVl/bLZoNrPUlceNSX/OkjQ336 AvJnvrAmxi6bm0da/j6Xifcd5mOpl1jRuJr+vTp5W+ajTLTnZC+qZ/LovJ7W eCCeb4In1d95NM/zJDyYy8YvUX7svEdN8TWHbVm1dNJak5r0+5W5dJR5HDtl kfdnmh96kL4/sFuBe7oO3K+iePGWOX4rzZb4qyifZLHUvr1a/jZFSfH4JUP9 KOh9j1nEtDfJp2spKJ7dZmd9WurqebrT/PIoe180POn8XleKn6eEJxuSpxYZ 5VTv3RNmKzZ7ZB12pvrjudDXOWjipnAn2i9bMMWVjw5cLAPRXV9+EtYv6/1i erED9dvyhFvr5BUvutmTPAqF5e8aTA/+x5b8o0S4nJOzeVyQDdlPudB1/363 iy7fBYzP34TFiV9Td2VU0LxcAk+GjD4su1gq4P1soPfTnvuPHCsS8D62IClc MOfR6XzBwqcYPtZp8efdOQKGN3u4+3JYcXv3jwLK0wG4f5vGmTvf0DxdCplN Q1rNy3khoD5lsNnj0tL6WQ8EjBey6v3b57dZdlXA/OQIErHhskVAe6lei4S7 MwznZ9Xrdzvn+0XdYRhvHYH3i1ieo3nMEF9Xr/8xXdhy8QXD/Zyg7Y6/uvdz z2IYL5xA4vPmc/v5bxniSSeYHH/un+aZHxj2I5zgcJ/crxM8vlj/HvkRucRH cIK7h14fM9YoYtSPhq7DD3Qae7+cYb3qCAM29CoY8Nd3Zrmf4/OMmPYHbKx8 +TE5vT4HtLEjvpOU+B72xK+UQkY0q7v3rQPxRaTQ9nwXLimScsLjMDw1bfeS 1zLit1Y/3+lq+2l/OxIfXAoa+Zm2XeNduCWeZ05uNbDHdFeO+U8KweLv7sSn kkLLM+GbPiYp6PsGKVTGLtQ9OaYgPpEMMnZtfRHkqaTvC2Swe+SwfZ/7KInv I0M+zUYl8Y1lcLjIPmf0HSXyAeWOxO9REv/eEVpm7//7koMH8YGc4EHFjOn/ PPUgPo8zjKxfd8zpg2o6vzP4zMoffHKaJ8d62QVO3drd6++uXsTvlIN8xrU3 m6O9Sb6uUDj590d/lHrTfVyhbsrnjyHgQ/xDN3ijrRm6b4ovnd8Njo9aa7Cr 40d8QDfiD/kR39Yd77/Cn/iz7igfYwDynae5Q+8BQyf3uxlA/DJ3Ol8N5CNu c4eu7x7X/e9FDeKzuYNjN37nWvdA4su6g8/RsVMXpwcSX8gdOi654a6tH2Rd P4lwXbd8d5D1eZGvbx9sXZd3Gj9q57Zg4rO7Ez8whKM/usMIdcCShxBC93OH iV5NfD77hhJ/TIHfa/QIJb6YAvlnC0Pp+w8FwKjYD25/hxJ/VYF8snuhZJ8K yN/TK+Dn96HIlxqsQH5hqzD6XkSBfMTlYcg3e6SAtn33aBveDyM+tBL5my4a 4vMr4bM27cmJOhriLyvx+5THGo7xTAn/7XBy8yzWID+8kQr5bBc0xL9S0X00 +D1IpAq/13gZRt+nKPF7mW6W73mUxJcLpe9HiA/aP5T438TflIQSX1hJ30+E EN9YSd+DhBB/WInfP4SGWPmRHc+c7FScG0z8WCU0XuBwSnojGPljiy380WDk 9y1Xwki2bdfBRcFkTySPv4KJ/6bE74NcgpGvu1sJkoNhI/+3OYj4YUqYvebP 2KnhQVw013+UsPl6+3azdwbS9yxKGDJotWy8JpAjvlTC+4mN2/y6qQbyx+8r yd9rcOwnKWH9iIaaR7MDkM/8XIl8vxJ/6zozPaqo9H/+xO9Wkj/4ER9NSXw9 P+InK6Hr2bYRNot9iX+nRH7fFx+MNxuVULiv9HPLJj74/crUan3lHcxsvt6b 4zyi+rx7bvdL+uqF9m6qls+DjuPd63nR9wdKGKCe+9+NmZ5cDBc3FTBmVfMd g2+pic+ugOCeKzMKXdV4/5YK4jd6EF9QQfFBRfxud8isOuySflTJMR+7gWZO jYLbGQqyNzfQJtf/TV/lTvdxhdwD36UtY92s3xttHjXqyqfGcvJPOTx5oHMv berMER/I4VSbRudYtKP1+ybkCzrQ9zMuxO+zo/jqQvFfQnxiOQxPUy7pGlZJ /Dw5lPbqFHDFuZhZ+JzDY5eaTLIcZuFjZp6bdOSPuq8YylMO3CP1z0G1HjLs h8hBUmeu4cSXOwz9Uw5geOHZY84lhvp2gckLff4Z53iYob25gAQJRALGw+r1 L1lfR6WdE7Cerl6vvpTQbVCagPVd9fpuckS3d+mEF5xh8uszbzVznhBfz5n4 fS8EjD/Va+cSeeyLVwLmAycrvkD86wS5tR7oDb3eCagPJyseQfziCJny0OU/ n/wsoD87QtumNm/+bZ0jYL5whOEz/pJ65eQKiCdkxA/MFzA/ymB1ymb5qunF giW/Km7qyz0uVwgYr+xh+pklb3UeEuL32EJA1PaBec9tqJ9rA/P7H+QrWttR v1cCn4NLW64aa2/lWwVPOrpy218O1K+RwOS+005P/FNq6V/CgyZRnRqslBHe t4HSVns/zgxxov6ELT3vQvWlHdQ9uOifPZVywpP2MKB33L52l1wJ39pDZuDt K5M3u1G9Z0/7u9PzDlAo4nUF1S8OcHnE/G/2eQqw4If5H5pvDNqsJPwphQdp V47e/k1F+FtG9Z0HnU8GWC+p6T7V8hT5d57Ub3FEvlW6F9VbjiDi7T4+lvkz 8ct8LfwJGFPH7tz2eb50PhmI9dZHX6qHZVRP+lE/UYZ/f8iP3k/1qqc/6UsK gY+vPe840Z/qf6p3P/gT/naA6Kf5fQd3CaD5hAOI9eG1AOr32gPWAzVoXmIP b1vNnDDsQA3Stx2I/D1NINUzdoDuEmjpf9F5gug+NiD2A5YEWfrVOP+TBdO8 TAIiH6txMP39N0Hsn8wMpvtU4vpqMNX/5cjfkoZQP6GU5jkhVP8U43xpVoiF r4nzoesh1A/KJ35YKO2fi+umodRf+4LPzw6leuM97n8tlPrrb3A+6xBG/ZFM nFc1+ME3C5jWfsqBSWF033uCyMf6J8wyH0K+W1EY9Sf3CJIo83xTQ/2MQwz5 aj/4aNc37c9+v1FD+r6L/biHGuqnP2JrLs56+ZtTOO2fwXA+Gk79sVfIZ0oN p/o+C+dLm8LpfNks8ODTVTPvhJM+3uPfV4ZTf/oj9vOiIqjf/4npzf2njhHE t/rCcD4aQfVcDr0/0sq3Qv6chb9WiPOoflqa7xRiv++JlubZhUzsX9WKovq7 kInz0blRVL8WsH2Nmu51+tfCPyug+0dTvzWfifPuWtEUr/KIz2WZd39mOK+M tvBNqZ8XTf2ITNZJnL9Z+pVP2BDFxxzhYhTdJ534eZb338b+aaGW+AVpTNS/ YOHTXWOivc7UUj/wEt6nuZb87yyL6Fac99HJMq8+hP3RK5HUX2iL/LgJkdRf PyaI80BdpKVfImD/M4LmW+nCEq/BM+wWWvTxjObFETTPzhIavXzVYNv7cOpn f0A+5vpw6lflCthvDaf4Uyhg/9bCdywTkH8XTvHum4DnC6f5ig00ON4tLm1N OPGZbHBefzac4qEtiPZd/X7koxDfICCC+lt2gO+PoHmKPWA/2nJ+B+QfyCOp f+UAOC+OJP1JAfvVWrDU66J8b2gt/DfkGwy06E8KYn93jWXeLwWRn3kzysq3 FfX5PYrmrQ4g8geSoimeOwDyMy3zfXvkL+yNJv3Z032jqT9lh2ttDMnPDsbV W7/g0KAYyne2yHc4FEPzaRs4M6K8SVlxDMUDGxDttX4syVuC8pgfS/r6JoxR eY5+9CyW3l8phNq/v1wzNs7KTxD7zxPjKF6VCOL84H4cxaMiAf09nvqj+cJe vwvLdJMt8/UcAf01nuYFH4RdObUmdNEnEP8jC/kMcxOof/pMEPvfbxKs/UJx 3haoo3hwVPhckX/rSXPLPPgME/lso3SW7wmQ/7RVR/OgZwznaZbnX+PzxTrq n77DeXKQns77ia1P7d7zahM96TeHifPHVD35Ux7Deame8lU+E+c3p/XU/y9E fk+Gnvy5COfl3/U0byvGeXewgeIxrbmB7l/CRP5jTwPZSylDvp+B5vmlTJz3 rjbQ/LKUifPS4wa6Txme946B7lOGfKX3BvLvMpp/G638XHF+1d5o5fuK8/Oj RpJnCRPnpXYmmn8UIV+suYnssZCJfLo5JrK3ApT/RRPxd/KRT1ViIv/OYyJf NCqR5st5DOd3iaTvfORvzUmk/nc+m6wuCX13MpHwYgH7P0f9vAo= "]], LineBox[{{-48.62837061435917, 5.734}, {-48.65837061435917, 5.739}, {-48.68937061435917, 5.744}, {-48.71937061435917, 5.746}, {-48.739370614359174`, 5.743}, {-48.595370614359176`, 5.656}, {-48.40437061435917, 5.575}, {-48.361370614359174`, 5.557}, {-48.30237061435917, 5.534}, {-48.22237061435917, 5.503}, {-48.11337061435917, 5.461}, {-47.961370614359176`, 5.406}, {-47.80237061435917, 5.352}, {-47.75537061435917, 5.337}, {-47.69437061435917, 5.318}, {-47.614370614359174`, 5.294}, {-47.50937061435917, 5.263}, {-47.370370614359175`, 5.227}, {-47.187370614359175`, 5.184}, {-46.95737061435917, 5.14}, {-46.91237061435917, 5.133}, {-46.85437061435917, 5.124}, {-46.77937061435917, 5.114}, {-46.68237061435917, 5.102}, {-46.556370614359174`, 5.09}, {-46.394370614359175`, 5.078}, {-46.18237061435917, 5.07}, {-45.93837061435917, 5.068}, {-45.89237061435917, 5.069}, {-45.83437061435917, 5.07}, {-45.75937061435917, 5.071}, {-45.66237061435917, 5.074}, {-45.53737061435917, 5.078}, {-45.37737061435917, 5.084}, {-45.172370614359174`, 5.092}, {-44.864370614359174`, 5.1}, {-44.82537061435917, 5.101}, {-44.77437061435917, 5.101}, {-44.70937061435917, 5.102}, {-44.62537061435917, 5.101}, {-44.519370614359175`, 5.1}, {-44.38137061435917, 5.096}, {-44.20637061435917, 5.086}, {-43.980370614359174`, 5.067}, {-43.73737061435917, 5.038}, {-43.69337061435917, 5.031}, {-43.63737061435917, 5.022}, {-43.56437061435918, 5.01}, {-43.46937061435917, 4.993}, {-43.34737061435917, 4.969}, {-43.18737061435917, 4.935}, {-42.97537061435917, 4.883}, {-42.69037061435917, 4.805}, {-42.522370614359176`, 4.756}, {-42.47337061435917, 4.742}, {-42.409370614359176`, 4.722}, {-42.32537061435917, 4.697}, {-42.21537061435917, 4.663}, {-42.06837061435917, 4.619}, {-41.87137061435917, 4.559}, {-41.599370614359174`, 4.482}, {-41.21637061435917, 4.389}, {-41.12437061435917, 4.37}, {-41.02437061435917, 4.351}, {-40.855370614359174`, 4.324}, {-40.80637061435917, 4.317}, {-40.74137061435917, 4.308}, {-40.656370614359176`, 4.299}, {-40.543370614359176`, 4.288}, {-40.39337061435917, 4.278}, {-40.19037061435917, 4.271}, {-39.91137061435917, 4.273}, {-39.516370614359175`, 4.292}, {-39.421370614359176`, 4.298}, {-39.31837061435917, 4.305}, {-39.20837061435917, 4.313}, {-39.08837061435917, 4.321}, {-38.95837061435917, 4.329}, {-38.81737061435918, 4.337}, {-38.663370614359174`, 4.343}, {-38.49637061435917, 4.345}, {-38.31237061435917, 4.344}, {-38.11237061435917, 4.334}, {-37.89237061435917, 4.315}, {-37.59737061435917, 4.27}, {-37.55737061435917, 4.263}, {-37.50637061435917, 4.253}, {-37.44037061435917, 4.239}, {-37.35437061435917, 4.219}, {-37.242370614359174`, 4.19}, {-37.096370614359174`, 4.148}, {-36.903370614359176`, 4.085}, {-36.64937061435917, 3.992}, {-36.31237061435917, 3.851}, {-36.12137061435917, 3.764}, {-36.034370614359176`, 3.724}, {-35.94137061435917, 3.681}, {-35.84337061435917, 3.635}, {-35.739370614359174`, 3.586}, {-35.63037061435917, 3.535}, {-35.51437061435917, 3.482}, {-35.391370614359175`, 3.427}, {-35.26237061435917, 3.37}, {-35.12437061435917, 3.313}, {-34.97837061435917, 3.257}, {-34.82337061435918, 3.201}, {-34.659370614359176`, 3.149}, {-34.483370614359174`, 3.102}, {-34.29537061435917, 3.061}, {-34.09237061435917, 3.029}, {-33.873370614359175`, 3.008}, {-33.635370614359175`, 3.}, {-33.37537061435917, 3.005}, {-33.08737061435917, 3.024}, {-32.76537061435917, 3.051}, {-32.403370614359176`, 3.078}, {-31.99237061435917, 3.087}, {-31.782370614359174`, 3.077}, {-31.688370614359172`, 3.07}, {-31.593370614359173`, 3.059}, {-31.49537061435917, 3.045}, {-31.394370614359172`, 3.029}, {-31.291370614359174`, 3.008}, {-31.185370614359172`, 2.983}, {-31.079370614359174`, 2.955}, {-30.967370614359172`, 2.921}, {-30.854370614359173`, 2.883}, {-30.73937061435917, 2.84}, {-30.622370614359173`, 2.792}, {-30.502370614359172`, 2.739}, {-30.381370614359174`, 2.681}, {-30.256370614359174`, 2.617}, {-30.131370614359174`, 2.549}, {-30.00437061435917, 2.476}, {-29.87637061435917, 2.399}, {-29.733370614359174`, 2.31}, {-29.692370614359174`, 2.284}, {-29.640370614359174`, 2.25}, {-29.57437061435917, 2.207}, {-29.488370614359173`, 2.15}, {-29.37937061435917, 2.077}, {-29.23937061435917, 1.983}, {-29.061370614359173`, 1.864}, {-28.83537061435917, 1.716}, {-28.551370614359172`, 1.542}, {-28.194370614359173`, 1.357}, {-27.999370614359172`, 1.279}, {-27.912370614359173`, 1.25}, {-27.819370614359173`, 1.224}, {-27.72237061435917, 1.202}, {-27.621370614359172`, 1.184}, {-27.51337061435917, 1.172}, {-27.39937061435917, 1.167}, {-27.27737061435917, 1.17}, {-27.14637061435917, 1.182}, {-27.005370614359173`, 1.204}, {-26.851370614359173`, 1.238}, {-26.681370614359174`, 1.283}, {-26.491370614359173`, 1.34}, {-26.276370614359173`, 1.408}, {-26.028370614359172`, 1.481}, {-25.738370614359173`, 1.551}, {-25.39337061435917, 1.599}, {-24.976370614359173`, 1.592}, {-24.883370614359173`, 1.58}, {-24.787370614359173`, 1.563}, {-24.68637061435917, 1.541}, {-24.58237061435917, 1.513}, {-24.473370614359172`, 1.479}, {-24.361370614359174`, 1.437}, {-24.244370614359173`, 1.388}, {-24.123370614359175`, 1.33}, {-23.99737061435917, 1.264}, {-23.867370614359174`, 1.188}, {-23.732370614359173`, 1.103}, {-23.593370614359173`, 1.007}, {-23.450370614359173`, 0.9}, {-23.303370614359174`, 0.784}, {-23.15237061435917, 0.657}, {-22.99737061435917, 0.52}, {-22.839370614359172`, 0.374}, {-22.678370614359174`, 0.219}, {-22.51537061435917, 0.057}, {-22.349370614359174`, -0.11}, {-22.182370614359172`, -0.283}, \ {-22.014370614359173`, -0.458}, {-21.845370614359172`, -0.635}, \ {-21.677370614359173`, -0.811}, {-21.50937061435917, -0.985}, \ {-21.343370614359173`, -1.155}, {-21.179370614359172`, -1.319}, \ {-21.017370614359173`, -1.476}, {-20.857370614359173`, -1.626}, \ {-20.70137061435917, -1.766}, {-20.548370614359172`, -1.897}, \ {-20.403370614359172`, -2.016}, {-20.258370614359173`, -2.127}, \ {-20.118370614359172`, -2.227}, {-19.982370614359173`, -2.318}, \ {-19.85037061435917, -2.398}, {-19.723370614359172`, -2.47}, \ {-19.601370614359173`, -2.532}, {-19.483370614359174`, -2.586}, \ {-19.368370614359172`, -2.632}, {-19.25937061435917, -2.671}, \ {-19.15537061435917, -2.703}, {-19.055370614359173`, -2.729}, \ {-18.959370614359173`, -2.749}, {-18.868370614359172`, -2.764}, \ {-18.562370614359175`, -2.786}, {-18.21937061435917, -2.755}, \ {-17.94637061435917, -2.684}, {-17.729370614359173`, -2.594}, \ {-17.558370614359173`, -2.495}, {-17.424370614359173`, -2.394}, \ {-17.322370614359173`, -2.292}, {-17.244370614359173`, -2.192}, \ {-17.189370614359174`, -2.093}, {-17.15237061435917, -1.996}, \ {-17.130370614359173`, -1.902}, {-17.121370614359172`, -1.81}, \ {-17.124370614359172`, -1.721}, {-17.165370614359173`, -1.525}, \ {-17.178370614359174`, -1.489}, {-17.19537061435917, -1.446}, \ {-17.218370614359173`, -1.394}, {-17.250370614359174`, -1.333}, \ {-17.293370614359173`, -1.264}, {-17.348370614359172`, -1.187}, \ {-17.416370614359174`, -1.107}, {-17.497370614359173`, -1.029}, \ {-17.587370614359173`, -0.962}, {-17.794370614359174`, -0.912}, \ {-17.808370614359173`, -0.931}, {-17.76837061435917, -1.09}, \ {-17.689370614359174`, -1.242}, {-17.668370614359173`, -1.284}, \ {-17.593370614359173`, -1.446}, {-17.578370614359173`, -1.483}, \ {-17.561370614359173`, -1.532}, {-17.51837061435917, -1.703}, \ {-17.51237061435917, -1.748}, {-17.508370614359173`, -1.806}, \ {-17.50937061435917, -1.88}, {-17.520370614359173`, -1.97}, \ {-17.553370614359174`, -2.085}, {-17.63437061435917, -2.236}, \ {-17.834370614359173`, -2.435}, {-18.09437061435917, -2.578}, \ {-18.26037061435917, -2.635}, {-18.304370614359172`, -2.646}, \ {-18.364370614359174`, -2.659}, {-18.531370614359172`, -2.683}, \ {-18.584370614359173`, -2.687}, {-18.656370614359172`, -2.69}, \ {-18.865370614359172`, -2.681}, {-18.910370614359174`, -2.676}, \ {-18.96937061435917, -2.668}, {-19.050370614359174`, -2.654}, \ {-19.159370614359172`, -2.63}, {-19.38837061435917, -2.559}, \ {-19.427370614359173`, -2.545}, {-19.480370614359174`, -2.524}, \ {-19.549370614359173`, -2.495}, {-19.64137061435917, -2.453}, \ {-19.76637061435917, -2.39}, {-19.936370614359173`, -2.293}, \ {-20.19937061435917, -2.119}, {-20.233370614359174`, -2.095}, \ {-20.27737061435917, -2.064}, {-20.334370614359173`, -2.021}, \ {-20.40837061435917, -1.963}, {-20.50737061435917, -1.885}, \ {-20.63837061435917, -1.776}, {-20.812370614359175`, -1.623}, \ {-21.046370614359173`, -1.405}, {-21.26837061435917, -1.188}, \ {-21.336370614359172`, -1.121}, {-21.453370614359173`, -1.002}, \ {-21.487370614359172`, -0.967}, {-21.53037061435917, -0.923}, \ {-21.586370614359172`, -0.865}, {-21.659370614359172`, -0.789}, \ {-21.75337061435917, -0.691}, {-21.87537061435917, -0.563}, \ {-22.034370614359172`, -0.397}, {-22.240370614359172`, -0.183}, \ {-22.507370614359175`, 0.09}, {-22.65537061435917, 0.238}, {-22.72237061435917, 0.303}, {-22.793370614359173`, 0.371}, {-22.866370614359173`, 0.441}, {-22.943370614359175`, 0.512}, {-23.081370614359173`, 0.637}, {-23.113370614359173`, 0.665}, {-23.153370614359172`, 0.701}, {-23.205370614359172`, 0.746}, {-23.272370614359172`, 0.801}, {-23.357370614359173`, 0.871}, {-23.464370614359172`, 0.956}, {-23.601370614359173`, 1.058}, {-23.773370614359173`, 1.177}, {-23.987370614359172`, 1.309}, {-24.252370614359172`, 1.445}, {-24.572370614359173`, 1.569}, {-24.737370614359172`, 1.615}, {-24.78337061435917, 1.625}, {-24.84137061435917, 1.637}, {-24.91437061435917, 1.65}, {-25.005370614359173`, 1.663}, {-25.119370614359173`, 1.674}, {-25.260370614359175`, 1.68}, {-25.433370614359173`, 1.677}, {-25.64037061435917, 1.658}, {-25.94237061435917, 1.607}, {-25.980370614359174`, 1.598}, {-26.03037061435917, 1.588}, {-26.092370614359172`, 1.573}, {-26.169370614359174`, 1.555}, {-26.26637061435917, 1.531}, {-26.385370614359175`, 1.501}, {-26.532370614359174`, 1.464}, {-26.711370614359172`, 1.423}, {-26.87837061435917, 1.391}, {-26.924370614359173`, 1.383}, {-26.982370614359173`, 1.375}, {-27.056370614359174`, 1.366}, {-27.150370614359172`, 1.358}, {-27.267370614359173`, 1.354}, {-27.416370614359174`, 1.359}, {-27.629370614359175`, 1.387}, {-27.672370614359174`, 1.396}, {-27.72837061435917, 1.409}, {-27.800370614359174`, 1.428}, {-27.89337061435917, 1.456}, {-28.011370614359173`, 1.499}, {-28.165370614359173`, 1.564}, {-28.363370614359173`, 1.664}, {-28.403370614359172`, 1.685}, {-28.45437061435917, 1.714}, {-28.519370614359172`, 1.751}, {-28.604370614359173`, 1.802}, {-28.71337061435917, 1.871}, {-28.855370614359174`, 1.963}, {-29.03937061435917, 2.087}, {-29.174370614359173`, 2.181}, {-29.21337061435917, 2.208}, {-29.262370614359174`, 2.243}, {-29.326370614359174`, 2.287}, {-29.40837061435917, 2.345}, {-29.514370614359173`, 2.418}, {-29.650370614359172`, 2.512}, {-29.82437061435917, 2.629}, {-30.048370614359172`, 2.773}, {-30.331370614359173`, 2.942}, {-30.685370614359172`, 3.128}, {-30.875370614359174`, 3.215}, {-30.959370614359173`, 3.25}, {-31.046370614359173`, 3.285}, {-31.136370614359173`, 3.319}, {-31.229370614359173`, 3.352}, {-31.519370614359172`, 3.443}, {-31.68137061435917, 3.486}, {-31.84437061435917, 3.526}, {-32.00837061435917, 3.562}, {-32.16737061435917, 3.598}, {-32.33037061435917, 3.636}, {-32.596370614359174`, 3.72}, {-32.66737061435917, 3.901}, {-32.510370614359175`, 3.978}, {-32.33237061435917, 4.028}, {-32.27637061435917, 4.04}, {-32.19737061435917, 4.054}, {-32.08037061435917, 4.071}, {-31.907370614359174`, 4.086}, {-31.851370614359173`, 4.089}, {-31.776370614359173`, 4.092}, {-31.672370614359174`, 4.092}, {-31.52437061435917, 4.087}, {-31.30937061435917, 4.068}, {-31.06237061435917, 4.029}, {-31.01637061435917, 4.02}, {-30.955370614359172`, 4.007}, {-30.874370614359172`, 3.988}, {-30.765370614359174`, 3.961}, {-30.618370614359172`, 3.918}, {-30.41437061435917, 3.851}, {-30.128370614359174`, 3.743}, {-29.84137061435917, 3.623}, {-29.75137061435917, 3.583}, {-29.654370614359173`, 3.54}, {-29.550370614359174`, 3.493}, {-29.43737061435917, 3.443}, {-29.250370614359174`, 3.36}, {-29.20737061435917, 3.341}, {-29.151370614359173`, 3.317}, {-29.078370614359173`, 3.286}, {-28.982370614359173`, 3.246}, {-28.85637061435917, 3.196}, {-28.688370614359172`, 3.133}, {-28.461370614359172`, 3.059}, {-28.148370614359173`, 2.979}, {-27.840370614359173`, 2.929}, {-27.744370614359173`, 2.919}, {-27.64037061435917, 2.911}, {-27.528370614359172`, 2.906}, {-27.40537061435917, 2.905}, {-27.272370614359172`, 2.908}, {-27.126370614359175`, 2.915}, {-26.965370614359173`, 2.926}, {-26.78637061435917, 2.943}, {-26.587370614359173`, 2.964}, {-26.365370614359172`, 2.987}, {-26.113370614359173`, 3.009}, {-25.828370614359173`, 3.023}, {-25.501370614359175`, 3.018}, {-25.127370614359172`, 2.976}, {-24.709370614359173`, 2.877}, {-24.669370614359174`, 2.865}, {-24.617370614359174`, 2.848}, {-24.549370614359173`, 2.824}, {-24.461370614359172`, 2.792}, {-24.346370614359174`, 2.746}, {-24.19537061435917, 2.679}, {-23.998370614359175`, 2.582}, {-23.738370614359173`, 2.438}, {-23.39637061435917, 2.228}, {-23.318370614359175`, 2.178}, {-23.237370614359172`, 2.124}, {-23.151370614359173`, 2.067}, {-23.060370614359172`, 2.007}, {-22.96637061435917, 1.943}, {-22.866370614359173`, 1.876}, {-22.761370614359173`, 1.806}, {-22.651370614359173`, 1.733}, {-22.535370614359174`, 1.658}, {-22.41437061435917, 1.582}, {-22.287370614359173`, 1.505}, {-22.153370614359172`, 1.43}, {-22.01337061435917, 1.357}, {-21.866370614359173`, 1.289}, {-21.711370614359172`, 1.229}, {-21.547370614359174`, 1.178}, {-21.37237061435917, 1.142}, {-21.185370614359172`, 1.123}, {-20.98137061435917, 1.126}, {-20.755370614359173`, 1.155}, {-20.499370614359172`, 1.216}, {-20.197370614359173`, 1.309}, {-19.830370614359172`, 1.427}, {-19.627370614359172`, 1.485}, {-19.532370614359174`, 1.508}, {-19.433370614359173`, 1.53}, {-19.32737061435917, 1.55}, {-19.21637061435917, 1.566}, {-19.09737061435917, 1.578}, {-18.97237061435917, 1.584}, {-18.83837061435917, 1.583}, {-18.69637061435917, 1.574}, {-18.54537061435917, 1.553}, {-18.383370614359173`, 1.519}, {-18.212370614359173`, 1.47}, {-18.03037061435917, 1.402}, {-17.836370614359172`, 1.314}, {-17.630370614359173`, 1.202}, {-17.41437061435917, 1.065}, {-17.185370614359172`, 0.901}, {-16.94637061435917, 0.71}, {-16.69637061435917, 0.492}, {-16.438370614359172`, 0.249}, {-16.173370614359172`, -0.014}, {-15.902370614359173`, \ -0.292}, {-15.628370614359172`, -0.578}, {-15.354370614359173`, -0.865}, \ {-15.081370614359173`, -1.145}, {-14.813370614359172`, -1.413}, \ {-14.551370614359172`, -1.66}, {-14.297370614359172`, -1.885}, \ {-14.052370614359173`, -2.083}, {-13.819370614359173`, -2.254}, \ {-13.597370614359173`, -2.398}, {-13.386370614359173`, -2.516}, \ {-13.188370614359172`, -2.61}, {-13.001370614359173`, -2.684}, \ {-12.826370614359172`, -2.738}, {-12.663370614359172`, -2.776}, \ {-12.510370614359173`, -2.801}, {-12.367370614359173`, -2.814}, \ {-12.233370614359172`, -2.818}, {-12.109370614359172`, -2.813}, \ {-11.993370614359172`, -2.802}, {-11.885370614359172`, -2.786}, \ {-11.784370614359172`, -2.766}, {-11.691370614359172`, -2.743}, \ {-11.396370614359173`, -2.638}, {-11.102370614359172`, -2.473}, \ {-10.900370614359172`, -2.302}, {-10.766370614359172`, -2.132}, \ {-10.687370614359173`, -1.964}, {-10.650370614359172`, -1.797}, \ {-10.647370614359172`, -1.632}, {-10.673370614359172`, -1.468}, \ {-10.722370614359173`, -1.307}, {-10.810370614359172`, -1.113}, \ {-10.831370614359173`, -1.074}, {-10.858370614359172`, -1.026}, \ {-10.895370614359173`, -0.967}, {-10.944370614359173`, -0.893}, \ {-11.009370614359172`, -0.804}, {-11.096370614359172`, -0.697}, \ {-11.209370614359173`, -0.575}, {-11.355370614359172`, -0.438}, \ {-11.539370614359173`, -0.295}, {-11.763370614359172`, -0.157}, \ {-12.026370614359173`, -0.04}, {-12.324370614359172`, 0.044}, {-12.678370614359173`, 0.094}, {-12.716370614359173`, 0.097}, {-12.763370614359172`, 0.101}, {-12.822370614359173`, 0.105}, {-12.895370614359173`, 0.11}, {-12.983370614359172`, 0.116}, {-13.089370614359172`, 0.124}, {-13.213370614359173`, 0.137}, {-13.356370614359172`, 0.16}, {-13.513370614359172`, 0.201}, {-13.669370614359172`, 0.273}, {-13.705370614359172`, 0.297}, {-13.747370614359173`, 0.33}, {-13.791370614359172`, 0.376}, {-13.832370614359172`, 0.441}, {-13.855370614359172`, 0.531}, {-13.833370614359172`, 0.663}, {-13.795370614359172`, 0.735}, {-13.791370614359172`, 0.742}, {-13.611370614359172`, 0.939}, {-13.364370614359173`, 1.113}, {-13.073370614359172`, 1.253}, {-12.760370614359173`, 1.344}, {-12.443370614359173`, 1.378}, {-12.141370614359172`, 1.357}, {-11.863370614359173`, 1.295}, {-11.619370614359173`, 1.207}, {-11.410370614359172`, 1.108}, {-11.235370614359173`, 1.01}, {-11.091370614359173`, 0.919}, {-10.974370614359172`, 0.84}, {-10.881370614359172`, 0.772}, {-10.806370614359173`, 0.716}, {-10.747370614359173`, 0.67}, {-10.701370614359172`, 0.633}, {-10.664370614359173`, 0.603}, {-10.533370614359173`, 0.493}, {-10.458370614359172`, 0.428}, {-10.382370614359171`, 0.361}, {-10.306370614359173`, 0.292}, {-10.230370614359172`, 0.221}, {-10.154370614359173`, 0.149}, {-10.077370614359172`, 0.075}, {-10.000370614359174`, 0}, {-9.923370614359172, -0.076}, {-9.846370614359172, -0.154}, \ {-9.769370614359172, -0.232}, {-9.692370614359172, -0.31}, \ {-9.616370614359173, -0.389}, {-9.539370614359171, -0.469}, \ {-9.463370614359173, -0.548}, {-9.387370614359172, -0.628}, \ {-9.311370614359173, -0.707}, {-9.236370614359172, -0.786}, \ {-9.161370614359173, -0.864}, {-9.086370614359172, -0.942}, \ {-9.013370614359172, -1.018}, {-8.940370614359173, -1.094}, \ {-8.867370614359173, -1.169}, {-8.796370614359173, -1.242}, \ {-8.724370614359172, -1.314}, {-8.654370614359173, -1.385}, \ {-8.584370614359173, -1.454}, {-8.516370614359172, -1.521}, \ {-8.448370614359172, -1.587}, {-8.381370614359174, -1.651}, \ {-8.228370614359171, -1.795}, {-7.916370614359172, -2.068}, \ {-7.629370614359172, -2.294}, {-7.366370614359172, -2.477}, \ {-7.127370614359172, -2.622}, {-6.911370614359172, -2.734}, \ {-6.714370614359172, -2.819}, {-6.5373706143591725`, -2.882}, \ {-6.376370614359172, -2.928}, {-6.230370614359172, -2.96}, \ {-6.0983706143591725`, -2.982}, {-5.977370614359172, -2.995}, \ {-5.868370614359172, -3.003}, {-5.768370614359172, -3.006}, \ {-5.460370614359173, -2.991}, {-5.169370614359172, -2.948}, \ {-4.971370614359173, -2.903}, {-4.8323706143591725`, -2.865}, \ {-4.733370614359172, -2.835}, {-4.659370614359172, -2.811}, \ {-4.605370614359172, -2.792}, {-4.565370614359173, -2.778}, \ {-4.3643706143591725`, -2.7}, {-4.166370614359172, -2.614}, \ {-3.8913706143591718`, -2.472}, {-3.7333706143591723`, -2.372}, \ {-3.6363706143591727`, -2.3}, {-3.573370614359172, -2.245}, \ {-3.5313706143591723`, -2.204}, {-3.421370614359173, -2.064}, \ {-3.3613706143591724`, -1.945}, {-3.333370614359172, -1.855}, \ {-3.320370614359172, -1.786}, {-3.315370614359173, -1.734}, \ {-3.314370614359172, -1.693}, {-3.331370614359173, -1.485}, \ {-3.3483706143591725`, -1.402}, {-3.3643706143591725`, -1.339}, \ {-3.378370614359172, -1.292}, {-3.432370614359172, -1.135}, \ {-3.4633706143591727`, -1.056}, {-3.488370614359173, -0.998}, \ {-3.507370614359173, -0.954}, {-3.5873706143591733`, -0.79}, \ {-3.615370614359172, -0.736}, {-3.6363706143591727`, -0.696}, \ {-3.725370614359173, -0.546}, {-3.7523706143591724`, -0.503}, \ {-3.7743706143591726`, -0.47}, {-3.8803706143591725`, -0.327}, \ {-3.908370614359173, -0.291}, {-4.0213706143591725`, -0.162}, \ {-4.058370614359173, -0.122}, {-4.088370614359173, -0.09}, \ {-4.206370614359173, 0.026}, {-4.246370614359172, 0.064}, {-4.279370614359172, 0.094}, {-4.416370614359172, 0.212}, {-4.452370614359172, 0.243}, {-4.587370614359172, 0.349}, {-4.621370614359172, 0.376}, {-4.847370614359172, 0.558}, {-4.842370614359172, 0.607}, {-4.819370614359173, 0.603}, {-4.640370614359172, 0.531}, {-4.546370614359173, 0.478}, {-4.458370614359172, 0.423}, {-4.3803706143591725`, 0.37}, {-4.312370614359173, 0.321}, {-4.2553706143591725`, 0.279}, {-4.2073706143591725`, 0.242}, {-4.169370614359172, 0.212}, {-4.137370614359172, 0.187}, {-3.926370614359172, 0.009}, {-3.661370614359173, -0.234}, {-3.4193706143591722`, -0.468}, \ {-3.208370614359172, -0.68}, {-3.0293706143591717`, -0.862}, \ {-2.8803706143591725`, -1.014}, {-2.759370614359172, -1.139}, \ {-2.661370614359173, -1.238}, {-2.583370614359172, -1.318}, \ {-2.522370614359172, -1.38}, {-2.4733706143591725`, -1.429}, \ {-2.434370614359173, -1.468}, {-2.4043706143591717`, -1.498}, \ {-2.256370614359172, -1.644}, {-2.139370614359173, -1.757}, \ {-2.025370614359172, -1.865}, {-1.9143706143591732`, -1.967}, \ {-1.8073706143591721`, -2.063}, {-1.7043706143591724`, -2.153}, \ {-1.6053706143591722`, -2.237}, {-1.5103706143591733`, -2.315}, \ {-1.4183706143591728`, -2.388}, {-1.331370614359173, -2.455}, \ {-1.2473706143591716`, -2.517}, {-1.1673706143591733`, -2.573}, \ {-0.9913706143591732, -2.691}, {-0.6723706143591723, -2.874}, \ {-0.4273706143591731, -2.99}, {-0.24037061435917195`, -3.063}, \ {-0.09637061435917182, -3.11}, {0.014629385640827053`, -3.141}, { 0.0996293856408279, -3.161}, {0.1646293856408274, -3.175}, { 0.21562938564082756`, -3.185}, {0.3906293856408283, -3.212}, { 0.5076293856408274, -3.224}, {0.6176293856408268, -3.231}, { 0.7196293856408271, -3.235}, {0.8146293856408278, -3.236}, { 1.2146293856408281`, -3.214}, {1.498629385640827, -3.18}, { 1.7056293856408278`, -3.15}, {1.857629385640827, -3.126}, { 1.9706293856408283`, -3.108}, {2.056629385640827, -3.095}, { 2.121629385640828, -3.085}, {2.1706293856408276`, -3.078}, { 2.338629385640827, -3.055}, {2.6436293856408284`, -3.024}, { 2.8596293856408277`, -3.013}, {3.017629385640827, -3.013}, { 3.1356293856408275`, -3.018}, {3.224629385640828, -3.024}, { 3.2926293856408275`, -3.03}, {3.3436293856408277`, -3.036}, { 3.383629385640827, -3.042}, {3.6676293856408293`, -3.094}, { 3.841629385640829, -3.139}, {3.972629385640829, -3.18}, { 4.073629385640828, -3.214}, {4.152629385640829, -3.243}, { 4.2126293856408275`, -3.266}, {4.259629385640828, -3.285}, { 4.295629385640826, -3.3}, {4.552629385640827, -3.412}, { 4.710629385640829, -3.485}, {4.8326293856408284`, -3.543}, { 4.927629385640827, -3.588}, {5.001629385640829, -3.624}, { 5.059629385640829, -3.651}, {5.103629385640829, -3.672}, { 5.258629385640827, -3.745}, {5.429629385640826, -3.824}, { 5.5586293856408275`, -3.881}, {5.6566293856408265`, -3.922}, { 5.730629385640828, -3.953}, {5.785629385640828, -3.975}, { 5.827629385640826, -3.992}, {6.012629385640828, -4.064}, { 6.115629385640826, -4.103}, {6.184629385640829, -4.13}, { 6.327629385640826, -4.208}, {6.316629385640827, -4.223}, { 6.285629385640828, -4.231}, {6.246629385640826, -4.235}, { 6.206629385640827, -4.235}, {6.169629385640828, -4.235}, { 6.136629385640827, -4.233}, {5.850629385640829, -4.198}, { 5.640629385640828, -4.156}, {5.441629385640827, -4.106}, { 5.262629385640828, -4.056}, {5.106629385640826, -4.008}, { 4.973629385640827, -3.965}, {4.863629385640827, -3.928}, { 4.772629385640826, -3.898}, {4.699629385640826, -3.873}, { 4.640629385640828, -3.852}, {4.593629385640828, -3.836}, { 4.555629385640827, -3.824}, {4.3376293856408275`, -3.75}, { 4.216629385640829, -3.71}, {4.094629385640829, -3.672}, { 3.971629385640828, -3.636}, {3.849629385640828, -3.602}, { 3.726629385640827, -3.57}, {3.6036293856408292`, -3.541}, { 3.479629385640827, -3.516}, {3.3566293856408276`, -3.494}, { 3.2336293856408282`, -3.476}, {3.1096293856408277`, -3.461}, { 2.9866293856408284`, -3.45}, {2.8636293856408273`, -3.442}, { 2.7416293856408274`, -3.438}, {2.6196293856408275`, -3.437}, { 2.4976293856408276`, -3.439}, {2.376629385640827, -3.444}, { 2.256629385640828, -3.45}, {2.136629385640827, -3.458}, { 2.0186293856408284`, -3.468}, {1.9016293856408275`, -3.478}, { 1.7856293856408278`, -3.488}, {1.671629385640827, -3.498}, { 1.559629385640827, -3.508}, {1.448629385640828, -3.517}, { 1.3406293856408276`, -3.524}, {1.2346293856408277`, -3.53}, { 1.1306293856408267`, -3.535}, {1.0296293856408276`, -3.537}, { 0.9316293856408269, -3.537}, {0.836629385640828, -3.536}, { 0.743629385640828, -3.533}, {0.5346293856408284, -3.517}, { 0.14162938564082772`, -3.454}, {-0.17337061435917178`, -3.367}, \ {-0.42037061435917167`, -3.276}, {-0.6123706143591718, -3.192}, \ {-0.7593706143591721, -3.118}, {-0.8723706143591716, -3.057}, \ {-0.9593706143591731, -3.008}, {-1.0263706143591733`, -2.968}, \ {-1.078370614359173, -2.937}, {-1.118370614359172, -2.912}, \ {-1.2813706143591723`, -2.807}, {-1.3573706143591728`, -2.755}, \ {-1.7053706143591718`, -2.508}, {-1.990370614359172, -2.3}, \ {-2.2173706143591723`, -2.142}, {-2.395370614359173, -2.038}, \ {-2.533370614359173, -1.983}, {-2.6433706143591724`, -1.97}, \ {-2.735370614359173, -1.992}, {-2.8223706143591727`, -2.039}, \ {-2.9153706143591727`, -2.107}, {-3.0243706143591726`, -2.19}, \ {-3.1653706143591727`, -2.284}, {-3.3533706143591733`, -2.39}, \ {-3.6093706143591717`, -2.51}, {-3.9633706143591727`, -2.654}, \ {-4.049370614359173, -2.686}, {-4.140370614359172, -2.72}, \ {-4.2393706143591725`, -2.755}, {-4.345370614359172, -2.791}, \ {-4.459370614359173, -2.828}, {-4.5823706143591725`, -2.866}, \ {-4.714370614359172, -2.903}, {-4.857370614359173, -2.94}, \ {-5.012370614359172, -2.975}, {-5.179370614359173, -3.006}, \ {-5.360370614359172, -3.031}, {-5.556370614359173, -3.046}, \ {-5.768370614359172, -3.048}, {-5.9973706143591725`, -3.032}, \ {-6.245370614359173, -2.992}, {-6.511370614359173, -2.922}, \ {-6.796370614359173, -2.815}, {-7.099370614359173, -2.665}, \ {-7.419370614359172, -2.469}, {-7.753370614359173, -2.224}, \ {-8.005370614359173, -2.017}, {-8.074370614359172, -1.956}, \ {-8.144370614359172, -1.895}, {-8.214370614359172, -1.831}, \ {-8.284370614359172, -1.767}, {-8.354370614359173, -1.701}, \ {-8.424370614359173, -1.634}, {-8.494370614359173, -1.566}, \ {-8.564370614359174, -1.497}, {-8.635370614359172, -1.428}, \ {-8.705370614359172, -1.357}, {-8.775370614359172, -1.286}, \ {-8.845370614359172, -1.215}, {-8.914370614359171, -1.143}, \ {-8.984370614359172, -1.072}, {-9.053370614359173, -1.}, {-9.122370614359173, \ -0.928}, {-9.190370614359173, -0.857}, {-9.259370614359172, -0.785}, \ {-9.326370614359172, -0.715}, {-9.394370614359172, -0.644}, \ {-9.460370614359173, -0.575}, {-9.527370614359173, -0.506}, \ {-9.592370614359172, -0.438}, {-9.657370614359174, -0.371}, \ {-9.722370614359173, -0.305}, {-9.870370614359173, -0.155}, \ {-10.175370614359172`, 0.142}, {-10.460370614359173`, 0.402}, {-10.726370614359173`, 0.623}, {-10.971370614359172`, 0.805}, {-11.196370614359171`, 0.952}, {-11.402370614359173`, 1.067}, {-11.590370614359173`, 1.154}, {-11.762370614359172`, 1.219}, {-11.918370614359173`, 1.264}, {-12.060370614359172`, 1.293}, {-12.190370614359173`, 1.31}, {-12.308370614359173`, 1.317}, {-12.417370614359173`, 1.315}, {-12.515370614359172`, 1.308}, {-12.898370614359173`, 1.216}, {-13.145370614359173`, 1.095}, {-13.304370614359172`, 0.976}, {-13.403370614359172`, 0.869}, {-13.488370614359173`, 0.663}, {-13.302370614359173`, 0.396}, {-12.907370614359172`, 0.271}, {-12.818370614359173`, 0.255}, {-12.727370614359172`, 0.238}, {-12.633370614359173`, 0.221}, {-12.538370614359172`, 0.202}, {-12.440370614359173`, 0.181}, {-12.341370614359173`, 0.156}, {-12.240370614359172`, 0.128}, {-12.139370614359173`, 0.094}, {-12.037370614359173`, 0.056}, {-11.934370614359173`, 0.012}, {-11.832370614359172`, -0.038}, {-11.731370614359172`, \ -0.094}, {-11.630370614359173`, -0.157}, {-11.531370614359172`, -0.225}, \ {-11.434370614359173`, -0.299}, {-11.340370614359173`, -0.379}, \ {-11.249370614359172`, -0.463}, {-11.161370614359173`, -0.552}, \ {-11.079370614359172`, -0.645}, {-11.001370614359173`, -0.741}, \ {-10.928370614359173`, -0.839}, {-10.862370614359172`, -0.939}, \ {-10.802370614359173`, -1.04}, {-10.750370614359172`, -1.142}, \ {-10.704370614359172`, -1.243}, {-10.667370614359172`, -1.345}, \ {-10.639370614359173`, -1.445}, {-10.619370614359173`, -1.544}, \ {-10.609370614359172`, -1.642}, {-10.609370614359172`, -1.738}, \ {-10.620370614359173`, -1.833}, {-10.641370614359172`, -1.926}, \ {-10.674370614359173`, -2.017}, {-10.720370614359172`, -2.107}, \ {-10.778370614359172`, -2.195}, {-10.850370614359173`, -2.282}, \ {-10.937370614359173`, -2.366}, {-11.040370614359173`, -2.449}, \ {-11.160370614359172`, -2.529}, {-11.299370614359173`, -2.605}, \ {-11.458370614359172`, -2.676}, {-11.639370614359173`, -2.738}, \ {-11.844370614359173`, -2.787}, {-12.075370614359173`, -2.818}, \ {-12.334370614359173`, -2.822}, {-12.622370614359172`, -2.789}, \ {-12.941370614359172`, -2.708}, {-13.291370614359172`, -2.567}, \ {-13.565370614359173`, -2.42}, {-13.642370614359173`, -2.374}, \ {-13.719370614359173`, -2.324}, {-13.798370614359172`, -2.271}, \ {-13.877370614359172`, -2.216}, {-13.958370614359172`, -2.158}, \ {-14.039370614359173`, -2.096}, {-14.121370614359172`, -2.032}, \ {-14.203370614359173`, -1.966}, {-14.287370614359173`, -1.896}, \ {-14.370370614359173`, -1.825}, {-14.454370614359172`, -1.751}, \ {-14.539370614359173`, -1.674}, {-14.624370614359172`, -1.596}, \ {-14.709370614359173`, -1.516}, {-14.794370614359172`, -1.434}, \ {-14.879370614359173`, -1.35}, {-14.965370614359173`, -1.266}, \ {-15.050370614359172`, -1.18}, {-15.135370614359172`, -1.093}, \ {-15.220370614359172`, -1.006}, {-15.305370614359173`, -0.918}, \ {-15.389370614359173`, -0.831}, {-15.473370614359172`, -0.743}, \ {-15.556370614359173`, -0.656}, {-15.639370614359173`, -0.569}, \ {-15.721370614359172`, -0.483}, {-15.803370614359173`, -0.397}, \ {-15.884370614359172`, -0.313}, {-15.963370614359173`, -0.23}, \ {-16.043370614359173`, -0.149}, {-16.121370614359172`, -0.069}, \ {-16.198370614359174`, 0.009}, {-16.27437061435917, 0.086}, {-16.349370614359174`, 0.16}, {-16.423370614359172`, 0.232}, {-16.496370614359172`, 0.303}, {-16.56837061435917, 0.371}, {-16.639370614359173`, 0.437}, {-16.709370614359173`, 0.5}, {-16.778370614359172`, 0.562}, {-17.105370614359174`, 0.836}, {-17.40237061435917, 1.054}, {-17.671370614359173`, 1.222}, {-17.912370614359173`, 1.348}, {-18.130370614359173`, 1.438}, {-18.325370614359173`, 1.5}, {-18.500370614359174`, 1.541}, {-18.65837061435917, 1.565}, {-18.801370614359172`, 1.577}, {-18.930370614359173`, 1.58}, {-19.047370614359174`, 1.576}, {-19.154370614359173`, 1.568}, {-19.25137061435917, 1.556}, {-19.551370614359172`, 1.498}, {-19.840370614359173`, 1.417}, {-20.040370614359173`, 1.353}, {-20.184370614359175`, 1.305}, {-20.290370614359173`, 1.27}, {-20.368370614359172`, 1.245}, {-20.428370614359174`, 1.227}, {-20.473370614359172`, 1.214}, {-20.744370614359173`, 1.147}, {-21.072370614359173`, 1.11}, {-21.377370614359172`, 1.13}, {-21.669370614359174`, 1.202}, {-21.956370614359173`, 1.317}, {-22.240370614359172`, 1.466}, {-22.52437061435917, 1.638}, {-22.807370614359172`, 1.824}, {-23.089370614359172`, 2.014}, {-23.368370614359172`, 2.198}, {-23.642370614359173`, 2.369}, {-23.910370614359174`, 2.522}, {-24.17037061435917, 2.654}, {-24.421370614359173`, 2.763}, {-24.662370614359173`, 2.848}, {-24.89337061435917, 2.912}, {-25.112370614359172`, 2.957}, {-25.321370614359175`, 2.986}, {-25.519370614359172`, 3.001}, {-25.706370614359173`, 3.006}, {-25.88437061435917, 3.002}, {-26.052370614359173`, 2.993}, {-26.212370614359173`, 2.98}, {-26.364370614359174`, 2.965}, {-26.508370614359173`, 2.949}, {-26.645370614359173`, 2.934}, {-26.776370614359173`, 2.919}, {-26.901370614359173`, 2.906}, {-27.02137061435917, 2.894}, {-27.136370614359173`, 2.886}, {-27.246370614359172`, 2.879}, {-27.352370614359174`, 2.875}, {-27.455370614359172`, 2.874}, {-27.554370614359172`, 2.875}, {-27.64937061435917, 2.878}, {-27.741370614359173`, 2.884}, {-28.165370614359173`, 2.944}, {-28.535370614359174`, 3.039}, {-28.865370614359172`, 3.152}, {-29.159370614359172`, 3.269}, {-29.425370614359174`, 3.382}, {-29.663370614359174`, 3.484}, {-29.878370614359174`, 3.574}, {-30.072370614359173`, 3.651}, {-30.24537061435917, 3.714}, {-30.401370614359173`, 3.766}, {-30.540370614359173`, 3.807}, {-30.665370614359173`, 3.839}, {-30.776370614359173`, 3.864}, {-30.990370614359172`, 3.898}, {-31.284370614359172`, 3.906}, {-31.355370614359174`, 3.72}, {-31.244370614359173`, 3.654}, {-31.10937061435917, 3.583}, {-30.955370614359172`, 3.504}, {-30.790370614359173`, 3.418}, {-30.618370614359172`, 3.324}, {-30.441370614359172`, 3.222}, {-30.26337061435917, 3.115}, {-30.086370614359172`, 3.003}, {-29.912370614359173`, 2.888}, {-29.74237061435917, 2.771}, {-29.57737061435917, 2.656}, {-29.41737061435917, 2.543}, {-29.264370614359173`, 2.434}, {-29.116370614359173`, 2.331}, {-28.976370614359173`, 2.233}, {-28.84137061435917, 2.142}, {-28.71337061435917, 2.059}, {-28.592370614359172`, 1.982}, {-28.476370614359173`, 1.913}, {-28.365370614359172`, 1.851}, {-28.260370614359175`, 1.796}, {-28.160370614359174`, 1.748}, {-28.065370614359175`, 1.706}}], LineBox[NCache[{{-27.69837061435917, 1.583}, {-27.82937061435917, 1.62}, {-27.96037061435917, 1.665}, {-28.092370614359172`, 1.719}, {-28.226370614359173`, 1.781}, {-28.361370614359174`, 1.85}, {-28.49737061435917, 1.927}, {-28.63537061435917, 2.01}, {-28.77437061435917, 2.099}, {-28.915370614359173`, 2.193}, {-29.057370614359172`, 2.29}, {-29.200370614359173`, 2.39}, {-29.343370614359173`, 2.492}, {-29.48937061435917, 2.595}, {-29.633370614359173`, 2.696}, {-29.776370614359173`, 2.796}, {-29.918370614359173`, 2.893}, {-30.05937061435917, 2.986}, {-30.197370614359173`, 3.075}, {-30.333370614359172`, 3.159}, {-30.465370614359173`, 3.238}, {-30.593370614359173`, 3.312}, {-30.71637061435917, 3.38}, {-30.833370614359172`, 3.442}, {-30.944370614359173`, 3.5}, {-31.047370614359174`, 3.553}, {-31.14137061435917, 3.602}, {-31.226370614359173`, 3.647}, {-31.429370614359172`, 3.786}, {-31.24537061435917, 3.907}, {-31.10037061435917, 3.906}, {-30.89937061435917, 3.885}, {-30.62937061435917, 3.83}, {-30.273370614359173`, 3.723}, {-30.072370614359173`, 3.65}, {-29.97837061435917, 3.614}, {-29.880370614359173`, 3.574}, {-29.776370614359173`, 3.532}, {-29.668370614359173`, 3.486}, {-29.55337061435917, 3.437}, {-29.433370614359173`, 3.385}, {-29.307370614359172`, 3.331}, {-29.175370614359174`, 3.276}, {-29.03637061435917, 3.218}, {-28.889370614359173`, 3.161}, {-28.736370614359174`, 3.105}, {-28.57437061435917, 3.051}, {-28.403370614359172`, 3.}, {-28.22237061435917, 2.956}, {-28.03037061435917, 2.919}, {-27.82637061435917, 2.892}, {-27.60637061435917, 2.876}, {-27.370370614359175`, 2.875}, {-27.112370614359172`, 2.887}, {-26.828370614359173`, 2.913}, {-26.514370614359173`, 2.949}, {-26.162370614359173`, 2.985}, {-25.76537061435917, 3.005}, {-25.44237061435917, 2.997}, {-25.348370614359172`, 2.989}, {-25.252370614359172`, 2.978}, {-25.154370614359173`, 2.964}, {-25.054370614359172`, 2.947}, {-24.95137061435917, 2.926}, {-24.846370614359174`, 2.901}, {-24.738370614359173`, 2.871}, {-24.62837061435917, 2.837}, {-24.51637061435917, 2.798}, {-24.40237061435917, 2.755}, {-24.28637061435917, 2.706}, {-24.16737061435917, 2.653}, {-24.047370614359174`, 2.594}, {-23.925370614359174`, 2.53}, {-23.801370614359172`, 2.462}, {-23.676370614359172`, 2.389}, {-23.549370614359173`, 2.312}, {-23.421370614359173`, 2.232}, {-23.29237061435917, 2.148}, {-23.162370614359173`, 2.063}, {-23.032370614359174`, 1.975}, {-22.901370614359173`, 1.887}, {-22.770370614359173`, 1.799}, {-22.639370614359173`, 1.712}, {-22.507370614359175`, 1.627}, {-22.376370614359175`, 1.546}, {-22.244370614359173`, 1.468}, {-22.112370614359172`, 1.395}, {-21.98137061435917, 1.329}, {-21.849370614359174`, 1.269}, {-21.71637061435917, 1.218}, {-21.58237061435917, 1.176}, {-21.447370614359173`, 1.143}, {-21.310370614359172`, 1.121}, {-21.17037061435917, 1.11}, {-21.026370614359173`, 1.112}, {-20.877370614359172`, 1.125}, {-20.721370614359174`, 1.152}, {-20.556370614359174`, 1.191}, {-20.37937061435917, 1.242}, {-20.188370614359172`, 1.304}, {-19.97837061435917, 1.373}, {-19.745370614359175`, 1.446}, {-19.482370614359173`, 1.514}, {-19.184370614359175`, 1.564}, {-18.84137061435917, 1.579}, {-18.447370614359173`, 1.53}, {-18.243370614359172`, 1.476}, {-18.151370614359173`, 1.446}, {-18.057370614359172`, 1.41}, {-17.961370614359172`, 1.37}, {-17.862370614359172`, 1.324}, {-17.76037061435917, 1.272}, {-17.657370614359174`, 1.214}, {-17.550370614359174`, 1.151}, {-17.441370614359172`, 1.081}, {-17.330370614359172`, 1.005}, {-17.217370614359172`, 0.922}, {-17.101370614359173`, 0.833}, {-16.983370614359174`, 0.738}, {-16.864370614359174`, 0.637}, {-16.742370614359174`, 0.53}, {-16.619370614359173`, 0.418}, {-16.49537061435917, 0.301}, {-16.369370614359173`, 0.179}, {-16.242370614359174`, 0.054}, {-16.115370614359172`, -0.075}, {-15.987370614359172`, \ -0.206}, {-15.858370614359172`, -0.339}, {-15.730370614359172`, -0.473}, \ {-15.602370614359172`, -0.608}, {-15.474370614359172`, -0.742}, \ {-15.347370614359173`, -0.874}, {-15.221370614359172`, -1.005}, \ {-15.096370614359172`, -1.133}, {-14.973370614359172`, -1.258}, \ {-14.851370614359173`, -1.379}, {-14.730370614359172`, -1.495}, \ {-14.612370614359172`, -1.607}, {-14.495370614359173`, -1.714}, \ {-14.381370614359172`, -1.815}, {-14.269370614359172`, -1.911}, \ {-14.160370614359172`, -2.001}, {-14.053370614359173`, -2.086}, \ {-13.948370614359172`, -2.165}, {-13.846370614359172`, -2.238}, \ {-13.746370614359172`, -2.306}, {-13.650370614359172`, -2.369}, \ {-13.555370614359173`, -2.426}, {-13.464370614359172`, -2.478}, \ {-13.375370614359172`, -2.526}, {-13.288370614359172`, -2.569}, \ {-13.096370614359172`, -2.653}, {-12.727370614359172`, -2.768}, \ {-12.413370614359172`, -2.817}, {-12.144370614359172`, -2.822}, \ {-11.915370614359173`, -2.799}, {-11.719370614359173`, -2.76}, \ {-11.550370614359172`, -2.71}, {-11.405370614359173`, -2.654}, \ {-11.280370614359173`, -2.596}, {-11.173370614359172`, -2.537}, \ {-11.079370614359172`, -2.477}, {-10.999370614359172`, -2.418}, \ {-10.929370614359172`, -2.359}, {-10.749370614359172`, -2.154}, \ {-10.633370614359173`, -1.894}, {-10.609370614359172`, -1.655}, \ {-10.642370614359173`, -1.43}, {-10.654370614359173`, -1.388}, \ {-10.670370614359172`, -1.337}, {-10.693370614359173`, -1.272}, \ {-10.727370614359172`, -1.191}, {-10.775370614359172`, -1.091}, \ {-10.843370614359172`, -0.97}, {-10.937370614359173`, -0.826}, \ {-11.066370614359172`, -0.659}, {-11.236370614359172`, -0.476}, \ {-11.451370614359172`, -0.285}, {-11.713370614359173`, -0.104}, \ {-12.016370614359172`, 0.048}, {-12.348370614359172`, 0.159}, {-12.693370614359173`, 0.233}, {-13.030370614359173`, 0.299}, {-13.324370614359172`, 0.41}, {-13.485370614359173`, 0.681}, {-13.476370614359173`, 0.727}, {-13.452370614359172`, 0.789}, {-13.398370614359173`, 0.874}, {-13.283370614359173`, 0.993}, {-13.038370614359172`, 1.154}, {-12.839370614359172`, 1.237}, {-12.730370614359172`, 1.269}, {-12.600370614359173`, 1.296}, {-12.444370614359173`, 1.314}, {-12.256370614359172`, 1.314}, {-12.029370614359172`, 1.287}, {-11.751370614359173`, 1.215}, {-11.410370614359172`, 1.071}, {-11.226370614359173`, 0.97}, {-11.142370614359173`, 0.919}, {-11.055370614359173`, 0.862}, {-10.964370614359172`, 0.8}, {-10.869370614359173`, 0.732}, {-10.771370614359173`, 0.658}, {-10.669370614359172`, 0.578}, {-10.563370614359172`, 0.49}, {-10.453370614359173`, 0.396}, {-10.339370614359172`, 0.294}, {-10.221370614359172`, 0.186}, {-10.099370614359172`, 0.07}, {-9.973370614359172, -0.052}, {-9.844370614359173, -0.181}, \ {-9.711370614359172, -0.316}, {-9.574370614359172, -0.457}, \ {-9.434370614359173, -0.602}, {-9.291370614359172, -0.752}, \ {-9.145370614359173, -0.905}, {-8.996370614359172, -1.059}, \ {-8.846370614359172, -1.214}, {-8.693370614359171, -1.369}, \ {-8.539370614359171, -1.522}, {-8.385370614359172, -1.671}, \ {-8.230370614359172, -1.817}, {-8.075370614359173, -1.956}, \ {-7.920370614359173, -2.089}, {-7.766370614359173, -2.214}, \ {-7.6143706143591725`, -2.331}, {-7.463370614359173, -2.439}, \ {-7.314370614359173, -2.538}, {-7.167370614359172, -2.627}, \ {-7.024370614359173, -2.707}, {-6.883370614359173, -2.776}, \ {-6.745370614359173, -2.837}, {-6.611370614359172, -2.889}, \ {-6.480370614359172, -2.932}, {-6.353370614359172, -2.968}, \ {-6.187370614359173, -3.004}, {-6.141370614359173, -3.012}, \ {-6.084370614359172, -3.021}, {-6.012370614359172, -3.031}, \ {-5.922370614359172, -3.04}, {-5.810370614359172, -3.047}, \ {-5.674370614359172, -3.049}, {-5.510370614359172, -3.044}, \ {-5.315370614359172, -3.026}, {-5.089370614359172, -2.99}, \ {-4.835370614359173, -2.935}, {-4.555370614359173, -2.858}, \ {-4.261370614359173, -2.763}, {-3.961370614359172, -2.654}, \ {-3.671370614359173, -2.538}, {-3.403370614359172, -2.416}, \ {-3.1693706143591722`, -2.289}, {-2.975370614359173, -2.157}, \ {-2.741370614359173, -1.998}, {-2.7073706143591725`, -1.986}, \ {-2.663370614359172, -1.976}, {-2.6033706143591733`, -1.975}, \ {-2.517370614359173, -1.991}, {-2.3883706143591716`, -2.044}, \ {-2.1853706143591722`, -2.165}, {-1.8623706143591718`, -2.395}, \ {-1.8263706143591723`, -2.421}, {-1.7793706143591717`, -2.456}, \ {-1.7163706143591728`, -2.502}, {-1.6333706143591726`, -2.563}, \ {-1.5213706143591725`, -2.642}, {-1.3713706143591722`, -2.747}, \ {-1.1683706143591728`, -2.882}, {-0.8933706143591724, -3.047}, \ {-0.5233706143591732, -3.234}, {-0.4393706143591718, -3.27}, \ {-0.35037061435917316`, -3.306}, {-0.2573706143591732, -3.34}, \ {-0.158370614359173, -3.373}, {-0.05637061435917268, -3.405}, { 0.05062938564082842, -3.433}, {0.16262938564082674`, -3.46}, { 0.3236293856408281, -3.49}, {0.36862938564082803`, -3.497}, { 0.42662938564082786`, -3.506}, {0.5006293856408277, -3.515}, { 0.5946293856408271, -3.524}, {0.7126293856408275, -3.532}, { 0.8616293856408284, -3.538}, {1.046629385640827, -3.538}, { 1.2736293856408274`, -3.53}, {1.5486293856408277`, -3.511}, { 1.8726293856408276`, -3.482}, {2.2476293856408276`, -3.453}, { 2.410629385640828, -3.445}, {2.4546293856408283`, -3.443}, { 2.511629385640827, -3.441}, {2.5816293856408272`, -3.44}, { 2.669629385640828, -3.44}, {2.7796293856408276`, -3.442}, { 2.913629385640828, -3.448}, {3.076629385640828, -3.461}, { 3.272629385640828, -3.484}, {3.5056293856408267`, -3.524}, { 3.740629385640826, -3.577}, {3.7816293856408265`, -3.588}, { 3.833629385640826, -3.601}, {3.8986293856408274`, -3.619}, { 3.979629385640827, -3.642}, {4.079629385640828, -3.672}, { 4.202629385640826, -3.71}, {4.352629385640828, -3.76}, { 4.5316293856408265`, -3.82}, {4.698629385640828, -3.878}, { 4.743629385640826, -3.893}, {4.799629385640827, -3.913}, { 4.870629385640829, -3.937}, {4.9576293856408284`, -3.966}, { 5.064629385640828, -4.001}, {5.193629385640829, -4.043}, { 5.391629385640826, -4.101}, {5.431629385640829, -4.113}, { 5.481629385640826, -4.126}, {5.543629385640827, -4.142}, { 5.6196293856408275`, -4.161}, {5.710629385640829, -4.182}, { 5.919629385640828, -4.223}, {5.956629385640827, -4.229}, { 6.000629385640828, -4.236}, {6.054629385640826, -4.243}, { 6.117629385640829, -4.251}, {6.3086293856408275`, -4.264}, { 6.341629385640829, -4.265}, {6.379629385640829, -4.265}, { 6.507629385640829, -4.243}, {6.324629385640826, -4.144}, { 6.159629385640827, -4.088}, {6.105629385640828, -4.069}, { 5.925629385640828, -4.005}, {5.886629385640827, -3.99}, { 5.834629385640827, -3.97}, {5.765629385640828, -3.943}, { 5.577629385640826, -3.866}, {5.539629385640829, -3.85}, { 5.491629385640827, -3.828}, {5.427629385640827, -3.8}, { 5.345629385640827, -3.763}, {5.153629385640826, -3.674}, { 5.117629385640829, -3.657}, {5.071629385640829, -3.635}, { 5.012629385640828, -3.607}, {4.936629385640828, -3.57}, { 4.838629385640829, -3.523}, {4.654629385640828, -3.436}, { 4.612629385640826, -3.416}, {4.559629385640829, -3.392}, { 4.490629385640826, -3.361}, {4.402629385640829, -3.322}, { 4.288629385640828, -3.274}, {4.130629385640827, -3.212}, { 4.085629385640829, -3.196}, {4.0266293856408275`, -3.175}, { 3.951629385640828, -3.15}, {3.852629385640828, -3.12}, { 3.724629385640828, -3.086}, {3.5566293856408286`, -3.049}, { 3.506629385640828, -3.04}, {3.442629385640828, -3.029}, { 3.3596293856408277`, -3.018}, {3.248629385640827, -3.006}, { 3.099629385640828, -2.997}, {2.881629385640828, -2.995}, { 2.835629385640827, -2.996}, {2.774629385640827, -2.998}, { 2.6946293856408268`, -3.003}, {2.588629385640827, -3.011}, { 2.445629385640828, -3.026}, {2.248629385640827, -3.052}, { 1.937629385640827, -3.1}, {1.897629385640828, -3.107}, { 1.8446293856408271`, -3.115}, {1.7746293856408268`, -3.127}, { 1.6816293856408269`, -3.141}, {1.559629385640827, -3.16}, { 1.3936293856408284`, -3.183}, {1.1676293856408275`, -3.208}, { 0.8536293856408275, -3.225}, {0.5456293856408276, -3.217}, { 0.36162938564082836`, -3.199}, {0.3176293856408279, -3.193}, { 0.2606293856408275, -3.184}, {0.18662938564082765`, -3.17}, { 0.08962938564082812, -3.15}, {-0.03737061435917255, -3.118}, \ {-0.20437061435917236`, -3.067}, {-0.424370614359173, -2.983}, \ {-0.7133706143591727, -2.845}, {-0.9823706143591728, -2.688}, \ {-1.062370614359173, -2.636}, {-1.1463706143591725`, -2.579}, \ {-1.235370614359173, -2.517}, {-1.328370614359173, -2.448}, \ {-1.4273706143591731`, -2.373}, {-1.5293706143591717`, -2.291}, \ {-1.6363706143591727`, -2.202}, {-1.7483706143591728`, -2.106}, \ {-1.865370614359172, -2.003}, {-1.9913706143591732`, -1.888}, \ {-2.0263706143591733`, -1.855}, {-2.0713706143591732`, -1.812}, \ {-2.129370614359173, -1.757}, {-2.203370614359173, -1.686}, \ {-2.2953706143591717`, -1.597}, {-2.414370614359173, -1.479}, \ {-2.5633706143591724`, -1.328}, {-2.748370614359173, -1.139}, \ {-2.974370614359172, -0.907}, {-3.246370614359172, -0.629}, \ {-3.4733706143591725`, -0.401}, {-3.536370614359173, -0.338}, \ {-3.602370614359172, -0.275}, {-3.6683706143591728`, -0.211}, \ {-3.7363706143591724`, -0.147}, {-3.8053706143591732`, -0.083}, \ {-3.8753706143591717`, -0.019}, {-4.031370614359172, 0.119}, {-4.061370614359172, 0.145}, {-4.099370614359172, 0.177}, {-4.1463706143591725`, 0.216}, {-4.204370614359172, 0.263}, {-4.276370614359173, 0.319}, {-4.362370614359172, 0.385}, {-4.465370614359172, 0.459}, {-4.585370614359173, 0.539}, {-4.720370614359172, 0.62}, {-4.866370614359172, 0.695}, {-5.0663706143591725`, 0.772}, {-5.100370614359172, 0.781}, {-5.141370614359173, 0.79}, {-5.186370614359173, 0.798}, {-5.235370614359172, 0.801}, {-5.283370614359172, 0.798}, {-5.202370614359173, 0.505}, {-5.075370614359173, 0.395}, {-4.938370614359172, 0.286}, {-4.695370614359172, 0.106}, {-4.561370614359172, 0}, {-4.428370614359173, -0.117}, {-4.302370614359173, -0.242}, \ {-4.272370614359172, -0.274}, {-4.155370614359173, -0.409}, \ {-4.129370614359173, -0.442}, {-4.095370614359172, -0.486}, \ {-3.987370614359172, -0.636}, {-3.9603706143591726`, -0.676}, \ {-3.927370614359173, -0.729}, {-3.836370614359172, -0.883}, \ {-3.814370614359172, -0.922}, {-3.788370614359172, -0.974}, \ {-3.756370614359172, -1.042}, {-3.692370614359172, -1.194}, \ {-3.676370614359172, -1.238}, {-3.658370614359173, -1.296}, \ {-3.637370614359172, -1.372}, {-3.6083706143591723`, -1.538}, \ {-3.6043706143591727`, -1.586}, {-3.6033706143591733`, -1.647}, \ {-3.6083706143591723`, -1.727}, {-3.644370614359172, -1.887}, \ {-3.661370614359173, -1.933}, {-3.690370614359173, -1.992}, \ {-3.7363706143591724`, -2.069}, {-3.866370614359173, -2.223}, \ {-3.9043706143591717`, -2.259}, {-3.959370614359173, -2.306}, \ {-4.039370614359173, -2.368}, {-4.160370614359172, -2.451}, \ {-4.402370614359173, -2.587}, {-4.4413706143591725`, -2.606}, \ {-4.492370614359173, -2.63}, {-4.563370614359172, -2.662}, \ {-4.661370614359172, -2.704}, {-4.8003706143591724`, -2.758}, \ {-5.007370614359172, -2.825}, {-5.326370614359172, -2.901}, \ {-5.535370614359173, -2.931}, {-5.639370614359173, -2.939}, \ {-5.7553706143591725`, -2.944}, {-5.883370614359173, -2.943}, \ {-6.085370614359173, -2.929}, {-6.132370614359172, -2.923}, \ {-6.192370614359173, -2.914}, {-6.273370614359172, -2.9}, \ {-6.3803706143591725`, -2.876}, {-6.525370614359172, -2.837}, \ {-6.7233706143591725`, -2.769}, {-6.9973706143591725`, -2.648}, \ {-7.267370614359172, -2.499}, {-7.351370614359173, -2.447}, \ {-7.440370614359172, -2.388}, {-7.536370614359172, -2.322}, \ {-7.639370614359173, -2.247}, {-7.750370614359173, -2.163}, \ {-7.869370614359172, -2.069}, {-7.996370614359172, -1.962}, \ {-8.132370614359171, -1.844}, {-8.278370614359172, -1.711}, \ {-8.434370614359173, -1.564}, {-8.600370614359171, -1.401}, \ {-8.778370614359172, -1.223}, {-8.966370614359173, -1.03}, \ {-9.165370614359173, -0.822}, {-9.375370614359174, -0.602}, \ {-9.596370614359172, -0.372}, {-9.825370614359173, -0.136}, \ {-10.062370614359173`, 0.102}, {-10.307370614359172`, 0.336}, {-10.557370614359172`, 0.56}, {-10.810370614359172`, 0.767}, {-11.064370614359172`, 0.954}, {-11.283370614359173`, 1.095}, {-11.320370614359172`, 1.117}, {-11.368370614359172`, 1.144}, {-11.428370614359173`, 1.177}, {-11.505370614359173`, 1.217}, {-11.601370614359173`, 1.263}, {-11.719370614359173`, 1.314}, {-11.867370614359173`, 1.368}, {-12.047370614359172`, 1.42}, {-12.263370614359172`, 1.461}, {-12.517370614359173`, 1.48}, {-12.808370614359173`, 1.463}, {-13.133370614359173`, 1.398}, {-13.485370614359173`, 1.284}, {-13.858370614359172`, 1.129}, {-14.251370614359173`, 0.965}, {-14.537370614359173`, 0.872}, {-14.566370614359172`, 0.865}, {-14.583370614359172`, 0.862}, {-14.859370614359172`, 0.821}, {-15.174370614359173`, 0.839}, {-15.418370614359173`, 0.899}, {-15.609370614359172`, 0.97}, {-15.759370614359172`, 1.039}, {-15.878370614359172`, 1.099}, {-15.970370614359172`, 1.15}, {-16.043370614359173`, 1.192}, {-16.10037061435917, 1.226}, {-16.144370614359172`, 1.252}, {-16.179370614359172`, 1.273}, {-16.528370614359172`, 1.496}, {-16.807370614359172`, 1.677}, {-17.023370614359173`, 1.813}, {-17.188370614359172`, 1.912}, {-17.31537061435917, 1.984}, {-17.412370614359173`, 2.037}, {-17.487370614359172`, 2.076}, {-17.544370614359174`, 2.104}, {-17.58837061435917, 2.125}, {-17.740370614359172`, 2.193}, {-18.023370614359173`, 2.297}, {-18.221370614359174`, 2.349}, {-18.361370614359174`, 2.374}, {-18.46037061435917, 2.385}, {-18.532370614359174`, 2.389}, {-18.584370614359173`, 2.389}, {-18.79537061435917, 2.369}, {-18.90837061435917, 2.341}, {-18.986370614359174`, 2.315}, {-19.047370614359174`, 2.293}, {-19.098370614359172`, 2.276}, {-19.142370614359173`, 2.262}, {-19.180370614359173`, 2.252}, {-19.212370614359173`, 2.244}, {-19.544370614359174`, 2.182}, {-19.87637061435917, 2.127}, {-20.22537061435917, 2.072}, {-20.554370614359172`, 2.034}, {-20.843370614359173`, 2.024}, {-21.087370614359173`, 2.041}, {-21.287370614359173`, 2.074}, {-21.44837061435917, 2.116}, {-21.575370614359173`, 2.157}, {-21.675370614359174`, 2.196}, {-21.752370614359172`, 2.229}, {-21.813370614359172`, 2.258}, {-21.85937061435917, 2.281}, {-21.895370614359173`, 2.3}, {-22.132370614359175`, 2.44}, {-22.278370614359172`, 2.545}, {-22.39037061435917, 2.642}, {-22.45737061435917, 2.796}, {-22.371370614359172`, 2.815}, {-22.196370614359175`, 2.803}, {-21.912370614359173`, 2.771}, {-21.618370614359172`, 2.748}, {-21.523370614359173`, 2.745}, {-21.42037061435917, 2.744}, {-21.310370614359172`, 2.745}, {-21.191370614359172`, 2.75}, {-21.063370614359172`, 2.759}, {-20.924370614359173`, 2.771}, {-20.77437061435917, 2.789}, {-20.610370614359173`, 2.811}, {-20.431370614359174`, 2.837}, {-20.236370614359174`, 2.866}, {-20.022370614359172`, 2.896}, {-19.78637061435917, 2.923}, {-19.525370614359172`, 2.941}, {-19.237370614359172`, 2.944}, {-18.918370614359173`, 2.919}, {-18.566370614359172`, 2.853}, {-18.181370614359174`, 2.735}, {-17.991370614359173`, 2.658}, {-17.907370614359174`, 2.621}, {-17.822370614359173`, 2.581}, {-17.736370614359174`, 2.538}, {-17.64937061435917, 2.493}, {-17.560370614359172`, 2.445}, {-17.471370614359174`, 2.395}, {-17.381370614359174`, 2.342}, {-17.290370614359173`, 2.288}, {-17.19837061435917, 2.231}, {-17.105370614359174`, 2.172}, {-17.011370614359173`, 2.111}, {-16.91737061435917, 2.05}, {-16.822370614359173`, 1.986}, {-16.727370614359174`, 1.923}, {-16.631370614359174`, 1.858}, {-16.535370614359174`, 1.794}, {-16.439370614359174`, 1.73}, {-16.342370614359172`, 1.666}, {-16.24537061435917, 1.604}, {-16.148370614359173`, 1.543}, {-16.051370614359172`, 1.483}, {-15.954370614359172`, 1.427}, {-15.856370614359172`, 1.372}, {-15.759370614359172`, 1.322}, {-15.660370614359172`, 1.274}, {-15.562370614359173`, 1.231}, {-15.463370614359173`, 1.192}, {-15.364370614359173`, 1.158}, {-15.263370614359172`, 1.13}, {-15.162370614359173`, 1.107}, {-15.059370614359173`, 1.09}, {-14.955370614359172`, 1.079}, {-14.848370614359172`, 1.075}, {-14.739370614359173`, 1.079}, {-14.627370614359172`, 1.089}, {-14.510370614359172`, 1.107}, {-14.389370614359173`, 1.133}, {-14.262370614359172`, 1.166}, {-14.132370614359173`, 1.204}, {-13.989370614359173`, 1.251}, {-13.836370614359172`, 1.303}, {-13.671370614359173`, 1.359}, {-13.491370614359173`, 1.417}, {-13.293370614359173`, 1.474}, {-13.075370614359173`, 1.523}, {-12.832370614359172`, 1.557}, {(-4) Pi, 1.566}, {-12.262370614359172`, 1.537}, {-11.922370614359172`, 1.454}, {-11.543370614359173`, 1.297}, {-11.463370614359173`, 1.255}, {-11.381370614359172`, 1.21}, {-11.297370614359172`, 1.16}, {-11.212370614359173`, 1.107}, {-11.125370614359172`, 1.05}, {-11.037370614359173`, 0.989}, {-10.947370614359173`, 0.924}, {-10.855370614359172`, 0.855}, {-10.763370614359172`, 0.781}, {-10.669370614359172`, 0.704}, {-10.574370614359172`, 0.624}, {-10.478370614359171`, 0.539}, {-10.380370614359173`, 0.451}, {-10.282370614359174`, 0.36}, {-10.183370614359173`, 0.266}, {-10.083370614359172`, 0.169}, {-9.982370614359173, 0.069}, {-9.880370614359173, -0.033}, {-9.779370614359173, -0.136}, \ {-9.677370614359173, -0.241}, {-9.574370614359172, -0.348}, \ {-9.472370614359173, -0.455}, {-9.370370614359173, -0.562}, \ {-9.267370614359173, -0.669}, {-9.166370614359172, -0.776}, \ {-9.064370614359174, -0.882}, {-8.963370614359173, -0.986}, \ {-8.863370614359173, -1.09}, {-8.763370614359172, -1.191}, \ {-8.665370614359173, -1.29}, {-8.567370614359172, -1.386}, \ {-8.471370614359174, -1.48}, {-8.375370614359174, -1.571}, \ {-8.281370614359172, -1.659}, {-8.188370614359172, -1.744}, \ {-8.096370614359174, -1.825}, {-8.006370614359174, -1.903}, \ {-7.917370614359172, -1.977}, {-7.830370614359173, -2.047}, \ {-7.745370614359173, -2.114}, {-7.661370614359172, -2.177}, \ {-7.578370614359172, -2.237}, {-7.4973706143591725`, -2.293}, \ {-7.418370614359173, -2.345}, {-7.142370614359172, -2.51}, \ {-6.8003706143591724`, -2.669}, {-6.498370614359173, -2.768}, \ {-6.230370614359172, -2.821}, {-5.994370614359172, -2.841}, \ {-5.786370614359172, -2.837}, {-5.602370614359172, -2.817}, \ {-5.439370614359173, -2.786}, {-5.295370614359173, -2.747}, \ {-5.167370614359172, -2.705}, {-5.053370614359173, -2.66}, \ {-4.951370614359172, -2.612}, {-4.860370614359172, -2.565}, \ {-4.605370614359172, -2.393}, {-4.391370614359172, -2.171}, \ {-4.279370614359172, -1.966}, {-4.231370614359172, -1.774}, \ {-4.226370614359173, -1.592}, {-4.252370614359172, -1.42}, \ {-4.299370614359173, -1.258}, {-4.361370614359172, -1.104}, \ {-4.433370614359173, -0.96}, {-4.512370614359172, -0.826}, \ {-4.595370614359172, -0.7}, {-4.681370614359173, -0.584}, \ {-4.768370614359172, -0.477}, {-4.854370614359173, -0.379}, \ {-4.940370614359172, -0.288}, {-5.024370614359173, -0.206}, \ {-5.1063706143591725`, -0.13}, {-5.186370614359173, -0.062}, \ {-5.2633706143591725`, 0.001}, {-5.4333706143591725`, 0.126}, {-5.7473706143591725`, 0.321}, {-5.992370614359173, 0.455}, {-6.176370614359173, 0.559}, {-6.304370614359173, 0.653}, {-6.379370614359172, 0.746}, {-6.403370614359172, 0.84}, {-6.371370614359172, 0.935}, {-6.278370614359172, 1.027}, {-6.115370614359173, 1.103}, {-5.866370614359172, 1.143}, {-5.511370614359173, 1.106}, {-5.426370614359173, 1.084}, {-5.335370614359173, 1.056}, {-5.2393706143591725`, 1.02}, {-5.137370614359172, 0.977}, {-5.0293706143591725`, 0.925}, {-4.915370614359173, 0.864}, {-4.794370614359172, 0.793}, {-4.667370614359172, 0.71}, {-4.534370614359172, 0.616}, {-4.394370614359172, 0.51}, {-4.247370614359172, 0.392}, {-4.094370614359173, 0.261}, {-3.9353706143591722`, 0.118}, {-3.770370614359173, -0.037}, {-3.600370614359173, -0.203}, \ {-3.424370614359173, -0.378}, {-3.2453706143591727`, -0.562}, \ {-3.0613706143591717`, -0.752}, {-2.8753706143591717`, -0.946}, \ {-2.6863706143591717`, -1.141}, {-2.4973706143591716`, -1.336}, \ {-2.3063706143591727`, -1.526}, {-2.1173706143591726`, -1.711}, \ {-1.929370614359172, -1.887}, {-1.743370614359172, -2.054}, \ {-1.5603706143591722`, -2.208}, {-1.3803706143591725`, -2.351}, \ {-1.2053706143591718`, -2.48}, {-1.0343706143591724`, -2.595}, \ {-0.8683706143591721, -2.697}, {-0.7083706143591719, -2.786}, \ {-0.5533706143591726, -2.862}, {-0.40437061435917165`, -2.927}, \ {-0.2603706143591733, -2.981}, {-0.12337061435917285`, -3.025}, { 0.009629385640828048, -3.061}, {0.13662938564082694`, -3.088}, { 0.2586293856408268, -3.109}, {0.37462938564082826`, -3.124}, { 0.48662938564082836`, -3.134}, {0.5926293856408282, -3.139}, { 0.695629385640828, -3.141}, {0.793629385640827, -3.14}, { 0.8866293856408269, -3.136}, {1.3016293856408279`, -3.091}, { 1.639629385640827, -3.03}, {1.918629385640827, -2.97}, { 2.1516293856408275`, -2.918}, {2.3486293856408267`, -2.875}, { 2.5186293856408284`, -2.841}, {2.665629385640827, -2.815}, { 2.7956293856408276`, -2.794}, {2.9096293856408284`, -2.779}, { 3.011629385640827, -2.767}, {3.3166293856408267`, -2.751}, { 3.604629385640827, -2.765}, {3.8066293856408286`, -2.795}, { 3.9576293856408284`, -2.831}, {4.072629385640827, -2.865}, { 4.162629385640827, -2.896}, {4.232629385640827, -2.922}, { 4.287629385640827, -2.944}, {4.330629385640826, -2.962}, { 4.484629385640826, -3.031}, {4.625629385640828, -3.099}, { 4.768629385640828, -3.171}, {4.917629385640829, -3.248}, { 5.069629385640827, -3.326}, {5.227629385640828, -3.406}, { 5.388629385640826, -3.484}, {5.554629385640826, -3.56}, { 5.723629385640827, -3.631}, {5.895629385640827, -3.697}, { 6.069629385640827, -3.756}, {6.2446293856408275`, -3.808}, { 6.419629385640828, -3.851}, {6.594629385640829, -3.887}, { 6.767629385640827, -3.914}, {6.9386293856408265`, -3.935}, { 7.105629385640828, -3.95}, {7.270629385640827, -3.959}, { 7.431629385640829, -3.964}, {7.5876293856408275`, -3.967}, { 7.7396293856408285`, -3.968}, {7.886629385640827, -3.968}, { 8.029629385640828, -3.968}, {8.16762938564083, -3.968}, { 8.301629385640826, -3.97}, {8.429629385640826, -3.974}, { 8.554629385640826, -3.98}, {8.673629385640826, -3.987}, { 8.78962938564083, -3.997}, {8.900629385640826, -4.01}, { 9.00762938564083, -4.024}, {9.110629385640827, -4.041}, { 9.209629385640827, -4.059}, {9.304629385640826, -4.079}, { 9.395629385640827, -4.101}, {9.795629385640826, -4.223}, { 10.097629385640829`, -4.347}, {10.297629385640828`, -4.45}, { 10.293629385640827`, -4.542}, {10.049629385640827`, -4.504}, { 9.761629385640827, -4.455}, {9.66462938564083, -4.44}, { 9.560629385640826, -4.425}, {9.447629385640827, -4.412}, { 9.326629385640828, -4.399}, {9.195629385640828, -4.389}, { 9.054629385640826, -4.381}, {8.903629385640826, -4.377}, { 8.740629385640826, -4.377}, {8.567629385640828, -4.381}, { 8.381629385640828, -4.389}, {8.182629385640826, -4.401}, { 7.969629385640829, -4.417}, {7.741629385640827, -4.434}, { 7.498629385640829, -4.45}, {7.2396293856408285`, -4.461}, { 6.963629385640829, -4.464}, {6.670629385640826, -4.453}, { 6.360629385640827, -4.422}, {6.032629385640828, -4.368}, { 5.685629385640826, -4.287}, {5.317629385640828, -4.177}, { 4.927629385640827, -4.042}, {4.623629385640829, -3.931}, { 4.538629385640828, -3.9}, {4.451629385640828, -3.868}, { 4.362629385640826, -3.836}, {4.273629385640827, -3.805}, { 4.181629385640829, -3.773}, {4.0876293856408275`, -3.742}, { 3.9926293856408286`, -3.711}, {3.8956293856408273`, -3.682}, { 3.795629385640826, -3.653}, {3.6946293856408268`, -3.626}, { 3.5906293856408276`, -3.6}, {3.484629385640826, -3.576}, { 3.3756293856408277`, -3.555}, {3.2636293856408276`, -3.535}, { 3.147629385640828, -3.519}, {3.028629385640828, -3.505}, { 2.9066293856408283`, -3.494}, {2.7796293856408276`, -3.487}, { 2.6486293856408274`, -3.483}, {2.5136293856408276`, -3.483}, { 2.3726293856408276`, -3.486}, {2.227629385640828, -3.492}, { 2.075629385640827, -3.502}, {1.918629385640827, -3.513}, { 1.7556293856408267`, -3.526}, {1.586629385640828, -3.54}, { 1.4106293856408278`, -3.552}, {1.229629385640827, -3.562}, { 1.041629385640828, -3.567}, {0.8476293856408272, -3.565}, { 0.6486293856408274, -3.555}, {0.445629385640828, -3.534}, { 0.2396293856408267, -3.501}, { 0.030629385640827067`, -3.454}, {-0.17737061435917312`, -3.393}, \ {-0.3853706143591733, -3.317}, {-0.5893706143591722, -3.229}, \ {-0.7893706143591732, -3.13}, {-0.9823706143591728, -3.023}, \ {-1.1683706143591728`, -2.91}, {-1.344370614359173, -2.796}, \ {-1.5103706143591733`, -2.682}, {-1.6653706143591727`, -2.573}, \ {-1.8083706143591733`, -2.471}, {-1.940370614359173, -2.378}, \ {-2.0603706143591722`, -2.295}, {-2.1693706143591722`, -2.225}, \ {-2.267370614359173, -2.166}, {-2.4603706143591726`, -2.079}, \ {-2.775370614359172, -2.103}, {-2.9333706143591733`, -2.193}, \ {-3.0163706143591718`, -2.244}, {-3.116370614359173, -2.301}, \ {-3.240370614359172, -2.366}, {-3.394370614359172, -2.44}, \ {-3.591370614359173, -2.525}, {-3.8483706143591725`, -2.626}, \ {-4.182370614359172, -2.748}, {-4.379370614359173, -2.813}, \ {-4.4733706143591725`, -2.843}, {-4.573370614359172, -2.873}, \ {-4.681370614359173, -2.903}, {-4.795370614359173, -2.933}, \ {-4.919370614359172, -2.962}, {-5.051370614359173, -2.99}, \ {-5.193370614359172, -3.015}, {-5.345370614359172, -3.035}, \ {-5.510370614359172, -3.049}, {-5.687370614359173, -3.055}, \ {-5.877370614359172, -3.048}, {-6.0823706143591725`, -3.026}, \ {-6.303370614359173, -2.984}, {-6.539370614359172, -2.917}, \ {-6.792370614359172, -2.821}, {-7.060370614359172, -2.69}, \ {-7.344370614359172, -2.522}, {-7.641370614359173, -2.314}, \ {-7.950370614359173, -2.067}, {-8.268370614359172, -1.784}, \ {-8.505370614359173, -1.558}, {-8.570370614359172, -1.495}, \ {-8.635370614359172, -1.43}, {-8.700370614359173, -1.365}, \ {-8.765370614359172, -1.299}, {-8.830370614359172, -1.233}, \ {-8.895370614359173, -1.167}, {-8.960370614359173, -1.1}, \ {-9.024370614359173, -1.033}, {-9.089370614359172, -0.966}, \ {-9.153370614359172, -0.899}, {-9.217370614359172, -0.832}, \ {-9.281370614359172, -0.765}, {-9.344370614359173, -0.699}, \ {-9.407370614359174, -0.633}, {-9.470370614359172, -0.567}, \ {-9.778370614359172, -0.251}, {-10.073370614359172`, 0.042}, {-10.354370614359173`, 0.305}, {-10.618370614359172`, 0.532}, {-10.865370614359172`, 0.725}, {-11.094370614359173`, 0.884}, {-11.306370614359173`, 1.011}, {-11.502370614359172`, 1.11}, {-11.681370614359173`, 1.185}, {-11.846370614359172`, 1.239}, {-11.997370614359173`, 1.275}, {-12.135370614359173`, 1.297}, {-12.262370614359172`, 1.307}, {-12.377370614359172`, 1.308}, {-12.483370614359172`, 1.302}, {-12.581370614359173`, 1.289}, {-12.956370614359173`, 1.177}, {-13.196370614359173`, 1.037}, {-13.342370614359172`, 0.9}, {-13.419370614359172`, 0.777}, {-13.442370614359172`, 0.667}, {-13.421370614359173`, 0.571}, {-13.362370614359172`, 0.488}, {-13.267370614359173`, 0.418}, {-13.140370614359172`, 0.36}, {-12.979370614359173`, 0.312}, {-12.782370614359172`, 0.269}, {-12.545370614359172`, 0.221}, {-12.260370614359173`, 0.148}, {-11.920370614359172`, 0.018}, {-11.741370614359173`, -0.077}, {-11.660370614359172`, \ -0.126}, {-11.577370614359172`, -0.182}, {-11.492370614359173`, -0.244}, \ {-11.405370614359173`, -0.313}, {-11.316370614359172`, -0.389}, \ {-11.227370614359172`, -0.474}, {-11.138370614359172`, -0.568}, \ {-11.049370614359173`, -0.67}, {-10.961370614359172`, -0.782}, \ {-10.877370614359172`, -0.904}, {-10.799370614359173`, -1.034}, \ {-10.728370614359171`, -1.175}, {-10.668370614359173`, -1.324}, \ {-10.625370614359172`, -1.484}, {-10.604370614359173`, -1.652}, \ {-10.615370614359172`, -1.83}, {-10.671370614359173`, -2.02}, \ {-10.794370614359172`, -2.221}, {-11.020370614359173`, -2.437}, \ {-11.177370614359173`, -2.542}, {-11.258370614359173`, -2.587}, \ {-11.349370614359172`, -2.631}, {-11.450370614359173`, -2.674}, \ {-11.563370614359172`, -2.716}, {-11.689370614359172`, -2.753}, \ {-11.832370614359172`, -2.786}, {-11.991370614359173`, -2.811}, \ {-12.171370614359173`, -2.824}, {-12.374370614359172`, -2.82}, \ {-12.602370614359172`, -2.793}, {-12.859370614359172`, -2.734}, \ {-13.149370614359173`, -2.632}, {-13.474370614359172`, -2.473}, \ {-13.735370614359173`, -2.314}, {-13.810370614359172`, -2.264}, \ {-13.886370614359173`, -2.21}, {-13.964370614359172`, -2.154}, \ {-14.043370614359173`, -2.094}, {-14.123370614359173`, -2.031}, \ {-14.205370614359172`, -1.965}, {-14.289370614359173`, -1.895}, \ {-14.373370614359173`, -1.822}, {-14.459370614359173`, -1.746}, \ {-14.547370614359172`, -1.667}, {-14.635370614359172`, -1.586}, \ {-14.725370614359171`, -1.501}, {-14.815370614359173`, -1.413}, \ {-14.909370614359172`, -1.322}, {-15.001370614359173`, -1.229}, \ {-15.095370614359172`, -1.135}, {-15.189370614359174`, -1.038}, \ {-15.284370614359172`, -0.94}, {-15.380370614359173`, -0.841}, \ {-15.476370614359173`, -0.74}, {-15.572370614359173`, -0.639}, \ {-15.669370614359172`, -0.538}, {-15.766370614359172`, -0.436}, \ {-15.863370614359173`, -0.335}, {-15.960370614359173`, -0.234}, \ {-16.057370614359172`, -0.134}, {-16.154370614359173`, -0.036}, \ {-16.250370614359174`, 0.061}, {-16.346370614359174`, 0.156}, {-16.441370614359172`, 0.249}, {-16.535370614359174`, 0.339}, {-16.62937061435917, 0.427}}, {{-27.69837061435917, 1.583}, {-27.82937061435917, 1.62}, {-27.96037061435917, 1.665}, {-28.092370614359172`, 1.719}, {-28.226370614359173`, 1.781}, {-28.361370614359174`, 1.85}, {-28.49737061435917, 1.927}, {-28.63537061435917, 2.01}, {-28.77437061435917, 2.099}, {-28.915370614359173`, 2.193}, {-29.057370614359172`, 2.29}, {-29.200370614359173`, 2.39}, {-29.343370614359173`, 2.492}, {-29.48937061435917, 2.595}, {-29.633370614359173`, 2.696}, {-29.776370614359173`, 2.796}, {-29.918370614359173`, 2.893}, {-30.05937061435917, 2.986}, {-30.197370614359173`, 3.075}, {-30.333370614359172`, 3.159}, {-30.465370614359173`, 3.238}, {-30.593370614359173`, 3.312}, {-30.71637061435917, 3.38}, {-30.833370614359172`, 3.442}, {-30.944370614359173`, 3.5}, {-31.047370614359174`, 3.553}, {-31.14137061435917, 3.602}, {-31.226370614359173`, 3.647}, {-31.429370614359172`, 3.786}, {-31.24537061435917, 3.907}, {-31.10037061435917, 3.906}, {-30.89937061435917, 3.885}, {-30.62937061435917, 3.83}, {-30.273370614359173`, 3.723}, {-30.072370614359173`, 3.65}, {-29.97837061435917, 3.614}, {-29.880370614359173`, 3.574}, {-29.776370614359173`, 3.532}, {-29.668370614359173`, 3.486}, {-29.55337061435917, 3.437}, {-29.433370614359173`, 3.385}, {-29.307370614359172`, 3.331}, {-29.175370614359174`, 3.276}, {-29.03637061435917, 3.218}, {-28.889370614359173`, 3.161}, {-28.736370614359174`, 3.105}, {-28.57437061435917, 3.051}, {-28.403370614359172`, 3.}, {-28.22237061435917, 2.956}, {-28.03037061435917, 2.919}, {-27.82637061435917, 2.892}, {-27.60637061435917, 2.876}, {-27.370370614359175`, 2.875}, {-27.112370614359172`, 2.887}, {-26.828370614359173`, 2.913}, {-26.514370614359173`, 2.949}, {-26.162370614359173`, 2.985}, {-25.76537061435917, 3.005}, {-25.44237061435917, 2.997}, {-25.348370614359172`, 2.989}, {-25.252370614359172`, 2.978}, {-25.154370614359173`, 2.964}, {-25.054370614359172`, 2.947}, {-24.95137061435917, 2.926}, {-24.846370614359174`, 2.901}, {-24.738370614359173`, 2.871}, {-24.62837061435917, 2.837}, {-24.51637061435917, 2.798}, {-24.40237061435917, 2.755}, {-24.28637061435917, 2.706}, {-24.16737061435917, 2.653}, {-24.047370614359174`, 2.594}, {-23.925370614359174`, 2.53}, {-23.801370614359172`, 2.462}, {-23.676370614359172`, 2.389}, {-23.549370614359173`, 2.312}, {-23.421370614359173`, 2.232}, {-23.29237061435917, 2.148}, {-23.162370614359173`, 2.063}, {-23.032370614359174`, 1.975}, {-22.901370614359173`, 1.887}, {-22.770370614359173`, 1.799}, {-22.639370614359173`, 1.712}, {-22.507370614359175`, 1.627}, {-22.376370614359175`, 1.546}, {-22.244370614359173`, 1.468}, {-22.112370614359172`, 1.395}, {-21.98137061435917, 1.329}, {-21.849370614359174`, 1.269}, {-21.71637061435917, 1.218}, {-21.58237061435917, 1.176}, {-21.447370614359173`, 1.143}, {-21.310370614359172`, 1.121}, {-21.17037061435917, 1.11}, {-21.026370614359173`, 1.112}, {-20.877370614359172`, 1.125}, {-20.721370614359174`, 1.152}, {-20.556370614359174`, 1.191}, {-20.37937061435917, 1.242}, {-20.188370614359172`, 1.304}, {-19.97837061435917, 1.373}, {-19.745370614359175`, 1.446}, {-19.482370614359173`, 1.514}, {-19.184370614359175`, 1.564}, {-18.84137061435917, 1.579}, {-18.447370614359173`, 1.53}, {-18.243370614359172`, 1.476}, {-18.151370614359173`, 1.446}, {-18.057370614359172`, 1.41}, {-17.961370614359172`, 1.37}, {-17.862370614359172`, 1.324}, {-17.76037061435917, 1.272}, {-17.657370614359174`, 1.214}, {-17.550370614359174`, 1.151}, {-17.441370614359172`, 1.081}, {-17.330370614359172`, 1.005}, {-17.217370614359172`, 0.922}, {-17.101370614359173`, 0.833}, {-16.983370614359174`, 0.738}, {-16.864370614359174`, 0.637}, {-16.742370614359174`, 0.53}, {-16.619370614359173`, 0.418}, {-16.49537061435917, 0.301}, {-16.369370614359173`, 0.179}, {-16.242370614359174`, 0.054}, {-16.115370614359172`, -0.075}, {-15.987370614359172`, \ -0.206}, {-15.858370614359172`, -0.339}, {-15.730370614359172`, -0.473}, \ {-15.602370614359172`, -0.608}, {-15.474370614359172`, -0.742}, \ {-15.347370614359173`, -0.874}, {-15.221370614359172`, -1.005}, \ {-15.096370614359172`, -1.133}, {-14.973370614359172`, -1.258}, \ {-14.851370614359173`, -1.379}, {-14.730370614359172`, -1.495}, \ {-14.612370614359172`, -1.607}, {-14.495370614359173`, -1.714}, \ {-14.381370614359172`, -1.815}, {-14.269370614359172`, -1.911}, \ {-14.160370614359172`, -2.001}, {-14.053370614359173`, -2.086}, \ {-13.948370614359172`, -2.165}, {-13.846370614359172`, -2.238}, \ {-13.746370614359172`, -2.306}, {-13.650370614359172`, -2.369}, \ {-13.555370614359173`, -2.426}, {-13.464370614359172`, -2.478}, \ {-13.375370614359172`, -2.526}, {-13.288370614359172`, -2.569}, \ {-13.096370614359172`, -2.653}, {-12.727370614359172`, -2.768}, \ {-12.413370614359172`, -2.817}, {-12.144370614359172`, -2.822}, \ {-11.915370614359173`, -2.799}, {-11.719370614359173`, -2.76}, \ {-11.550370614359172`, -2.71}, {-11.405370614359173`, -2.654}, \ {-11.280370614359173`, -2.596}, {-11.173370614359172`, -2.537}, \ {-11.079370614359172`, -2.477}, {-10.999370614359172`, -2.418}, \ {-10.929370614359172`, -2.359}, {-10.749370614359172`, -2.154}, \ {-10.633370614359173`, -1.894}, {-10.609370614359172`, -1.655}, \ {-10.642370614359173`, -1.43}, {-10.654370614359173`, -1.388}, \ {-10.670370614359172`, -1.337}, {-10.693370614359173`, -1.272}, \ {-10.727370614359172`, -1.191}, {-10.775370614359172`, -1.091}, \ {-10.843370614359172`, -0.97}, {-10.937370614359173`, -0.826}, \ {-11.066370614359172`, -0.659}, {-11.236370614359172`, -0.476}, \ {-11.451370614359172`, -0.285}, {-11.713370614359173`, -0.104}, \ {-12.016370614359172`, 0.048}, {-12.348370614359172`, 0.159}, {-12.693370614359173`, 0.233}, {-13.030370614359173`, 0.299}, {-13.324370614359172`, 0.41}, {-13.485370614359173`, 0.681}, {-13.476370614359173`, 0.727}, {-13.452370614359172`, 0.789}, {-13.398370614359173`, 0.874}, {-13.283370614359173`, 0.993}, {-13.038370614359172`, 1.154}, {-12.839370614359172`, 1.237}, {-12.730370614359172`, 1.269}, {-12.600370614359173`, 1.296}, {-12.444370614359173`, 1.314}, {-12.256370614359172`, 1.314}, {-12.029370614359172`, 1.287}, {-11.751370614359173`, 1.215}, {-11.410370614359172`, 1.071}, {-11.226370614359173`, 0.97}, {-11.142370614359173`, 0.919}, {-11.055370614359173`, 0.862}, {-10.964370614359172`, 0.8}, {-10.869370614359173`, 0.732}, {-10.771370614359173`, 0.658}, {-10.669370614359172`, 0.578}, {-10.563370614359172`, 0.49}, {-10.453370614359173`, 0.396}, {-10.339370614359172`, 0.294}, {-10.221370614359172`, 0.186}, {-10.099370614359172`, 0.07}, {-9.973370614359172, -0.052}, {-9.844370614359173, -0.181}, \ {-9.711370614359172, -0.316}, {-9.574370614359172, -0.457}, \ {-9.434370614359173, -0.602}, {-9.291370614359172, -0.752}, \ {-9.145370614359173, -0.905}, {-8.996370614359172, -1.059}, \ {-8.846370614359172, -1.214}, {-8.693370614359171, -1.369}, \ {-8.539370614359171, -1.522}, {-8.385370614359172, -1.671}, \ {-8.230370614359172, -1.817}, {-8.075370614359173, -1.956}, \ {-7.920370614359173, -2.089}, {-7.766370614359173, -2.214}, \ {-7.6143706143591725`, -2.331}, {-7.463370614359173, -2.439}, \ {-7.314370614359173, -2.538}, {-7.167370614359172, -2.627}, \ {-7.024370614359173, -2.707}, {-6.883370614359173, -2.776}, \ {-6.745370614359173, -2.837}, {-6.611370614359172, -2.889}, \ {-6.480370614359172, -2.932}, {-6.353370614359172, -2.968}, \ {-6.187370614359173, -3.004}, {-6.141370614359173, -3.012}, \ {-6.084370614359172, -3.021}, {-6.012370614359172, -3.031}, \ {-5.922370614359172, -3.04}, {-5.810370614359172, -3.047}, \ {-5.674370614359172, -3.049}, {-5.510370614359172, -3.044}, \ {-5.315370614359172, -3.026}, {-5.089370614359172, -2.99}, \ {-4.835370614359173, -2.935}, {-4.555370614359173, -2.858}, \ {-4.261370614359173, -2.763}, {-3.961370614359172, -2.654}, \ {-3.671370614359173, -2.538}, {-3.403370614359172, -2.416}, \ {-3.1693706143591722`, -2.289}, {-2.975370614359173, -2.157}, \ {-2.741370614359173, -1.998}, {-2.7073706143591725`, -1.986}, \ {-2.663370614359172, -1.976}, {-2.6033706143591733`, -1.975}, \ {-2.517370614359173, -1.991}, {-2.3883706143591716`, -2.044}, \ {-2.1853706143591722`, -2.165}, {-1.8623706143591718`, -2.395}, \ {-1.8263706143591723`, -2.421}, {-1.7793706143591717`, -2.456}, \ {-1.7163706143591728`, -2.502}, {-1.6333706143591726`, -2.563}, \ {-1.5213706143591725`, -2.642}, {-1.3713706143591722`, -2.747}, \ {-1.1683706143591728`, -2.882}, {-0.8933706143591724, -3.047}, \ {-0.5233706143591732, -3.234}, {-0.4393706143591718, -3.27}, \ {-0.35037061435917316`, -3.306}, {-0.2573706143591732, -3.34}, \ {-0.158370614359173, -3.373}, {-0.05637061435917268, -3.405}, { 0.05062938564082842, -3.433}, {0.16262938564082674`, -3.46}, { 0.3236293856408281, -3.49}, {0.36862938564082803`, -3.497}, { 0.42662938564082786`, -3.506}, {0.5006293856408277, -3.515}, { 0.5946293856408271, -3.524}, {0.7126293856408275, -3.532}, { 0.8616293856408284, -3.538}, {1.046629385640827, -3.538}, { 1.2736293856408274`, -3.53}, {1.5486293856408277`, -3.511}, { 1.8726293856408276`, -3.482}, {2.2476293856408276`, -3.453}, { 2.410629385640828, -3.445}, {2.4546293856408283`, -3.443}, { 2.511629385640827, -3.441}, {2.5816293856408272`, -3.44}, { 2.669629385640828, -3.44}, {2.7796293856408276`, -3.442}, { 2.913629385640828, -3.448}, {3.076629385640828, -3.461}, { 3.272629385640828, -3.484}, {3.5056293856408267`, -3.524}, { 3.740629385640826, -3.577}, {3.7816293856408265`, -3.588}, { 3.833629385640826, -3.601}, {3.8986293856408274`, -3.619}, { 3.979629385640827, -3.642}, {4.079629385640828, -3.672}, { 4.202629385640826, -3.71}, {4.352629385640828, -3.76}, { 4.5316293856408265`, -3.82}, {4.698629385640828, -3.878}, { 4.743629385640826, -3.893}, {4.799629385640827, -3.913}, { 4.870629385640829, -3.937}, {4.9576293856408284`, -3.966}, { 5.064629385640828, -4.001}, {5.193629385640829, -4.043}, { 5.391629385640826, -4.101}, {5.431629385640829, -4.113}, { 5.481629385640826, -4.126}, {5.543629385640827, -4.142}, { 5.6196293856408275`, -4.161}, {5.710629385640829, -4.182}, { 5.919629385640828, -4.223}, {5.956629385640827, -4.229}, { 6.000629385640828, -4.236}, {6.054629385640826, -4.243}, { 6.117629385640829, -4.251}, {6.3086293856408275`, -4.264}, { 6.341629385640829, -4.265}, {6.379629385640829, -4.265}, { 6.507629385640829, -4.243}, {6.324629385640826, -4.144}, { 6.159629385640827, -4.088}, {6.105629385640828, -4.069}, { 5.925629385640828, -4.005}, {5.886629385640827, -3.99}, { 5.834629385640827, -3.97}, {5.765629385640828, -3.943}, { 5.577629385640826, -3.866}, {5.539629385640829, -3.85}, { 5.491629385640827, -3.828}, {5.427629385640827, -3.8}, { 5.345629385640827, -3.763}, {5.153629385640826, -3.674}, { 5.117629385640829, -3.657}, {5.071629385640829, -3.635}, { 5.012629385640828, -3.607}, {4.936629385640828, -3.57}, { 4.838629385640829, -3.523}, {4.654629385640828, -3.436}, { 4.612629385640826, -3.416}, {4.559629385640829, -3.392}, { 4.490629385640826, -3.361}, {4.402629385640829, -3.322}, { 4.288629385640828, -3.274}, {4.130629385640827, -3.212}, { 4.085629385640829, -3.196}, {4.0266293856408275`, -3.175}, { 3.951629385640828, -3.15}, {3.852629385640828, -3.12}, { 3.724629385640828, -3.086}, {3.5566293856408286`, -3.049}, { 3.506629385640828, -3.04}, {3.442629385640828, -3.029}, { 3.3596293856408277`, -3.018}, {3.248629385640827, -3.006}, { 3.099629385640828, -2.997}, {2.881629385640828, -2.995}, { 2.835629385640827, -2.996}, {2.774629385640827, -2.998}, { 2.6946293856408268`, -3.003}, {2.588629385640827, -3.011}, { 2.445629385640828, -3.026}, {2.248629385640827, -3.052}, { 1.937629385640827, -3.1}, {1.897629385640828, -3.107}, { 1.8446293856408271`, -3.115}, {1.7746293856408268`, -3.127}, { 1.6816293856408269`, -3.141}, {1.559629385640827, -3.16}, { 1.3936293856408284`, -3.183}, {1.1676293856408275`, -3.208}, { 0.8536293856408275, -3.225}, {0.5456293856408276, -3.217}, { 0.36162938564082836`, -3.199}, {0.3176293856408279, -3.193}, { 0.2606293856408275, -3.184}, {0.18662938564082765`, -3.17}, { 0.08962938564082812, -3.15}, {-0.03737061435917255, -3.118}, \ {-0.20437061435917236`, -3.067}, {-0.424370614359173, -2.983}, \ {-0.7133706143591727, -2.845}, {-0.9823706143591728, -2.688}, \ {-1.062370614359173, -2.636}, {-1.1463706143591725`, -2.579}, \ {-1.235370614359173, -2.517}, {-1.328370614359173, -2.448}, \ {-1.4273706143591731`, -2.373}, {-1.5293706143591717`, -2.291}, \ {-1.6363706143591727`, -2.202}, {-1.7483706143591728`, -2.106}, \ {-1.865370614359172, -2.003}, {-1.9913706143591732`, -1.888}, \ {-2.0263706143591733`, -1.855}, {-2.0713706143591732`, -1.812}, \ {-2.129370614359173, -1.757}, {-2.203370614359173, -1.686}, \ {-2.2953706143591717`, -1.597}, {-2.414370614359173, -1.479}, \ {-2.5633706143591724`, -1.328}, {-2.748370614359173, -1.139}, \ {-2.974370614359172, -0.907}, {-3.246370614359172, -0.629}, \ {-3.4733706143591725`, -0.401}, {-3.536370614359173, -0.338}, \ {-3.602370614359172, -0.275}, {-3.6683706143591728`, -0.211}, \ {-3.7363706143591724`, -0.147}, {-3.8053706143591732`, -0.083}, \ {-3.8753706143591717`, -0.019}, {-4.031370614359172, 0.119}, {-4.061370614359172, 0.145}, {-4.099370614359172, 0.177}, {-4.1463706143591725`, 0.216}, {-4.204370614359172, 0.263}, {-4.276370614359173, 0.319}, {-4.362370614359172, 0.385}, {-4.465370614359172, 0.459}, {-4.585370614359173, 0.539}, {-4.720370614359172, 0.62}, {-4.866370614359172, 0.695}, {-5.0663706143591725`, 0.772}, {-5.100370614359172, 0.781}, {-5.141370614359173, 0.79}, {-5.186370614359173, 0.798}, {-5.235370614359172, 0.801}, {-5.283370614359172, 0.798}, {-5.202370614359173, 0.505}, {-5.075370614359173, 0.395}, {-4.938370614359172, 0.286}, {-4.695370614359172, 0.106}, {-4.561370614359172, 0}, {-4.428370614359173, -0.117}, {-4.302370614359173, -0.242}, \ {-4.272370614359172, -0.274}, {-4.155370614359173, -0.409}, \ {-4.129370614359173, -0.442}, {-4.095370614359172, -0.486}, \ {-3.987370614359172, -0.636}, {-3.9603706143591726`, -0.676}, \ {-3.927370614359173, -0.729}, {-3.836370614359172, -0.883}, \ {-3.814370614359172, -0.922}, {-3.788370614359172, -0.974}, \ {-3.756370614359172, -1.042}, {-3.692370614359172, -1.194}, \ {-3.676370614359172, -1.238}, {-3.658370614359173, -1.296}, \ {-3.637370614359172, -1.372}, {-3.6083706143591723`, -1.538}, \ {-3.6043706143591727`, -1.586}, {-3.6033706143591733`, -1.647}, \ {-3.6083706143591723`, -1.727}, {-3.644370614359172, -1.887}, \ {-3.661370614359173, -1.933}, {-3.690370614359173, -1.992}, \ {-3.7363706143591724`, -2.069}, {-3.866370614359173, -2.223}, \ {-3.9043706143591717`, -2.259}, {-3.959370614359173, -2.306}, \ {-4.039370614359173, -2.368}, {-4.160370614359172, -2.451}, \ {-4.402370614359173, -2.587}, {-4.4413706143591725`, -2.606}, \ {-4.492370614359173, -2.63}, {-4.563370614359172, -2.662}, \ {-4.661370614359172, -2.704}, {-4.8003706143591724`, -2.758}, \ {-5.007370614359172, -2.825}, {-5.326370614359172, -2.901}, \ {-5.535370614359173, -2.931}, {-5.639370614359173, -2.939}, \ {-5.7553706143591725`, -2.944}, {-5.883370614359173, -2.943}, \ {-6.085370614359173, -2.929}, {-6.132370614359172, -2.923}, \ {-6.192370614359173, -2.914}, {-6.273370614359172, -2.9}, \ {-6.3803706143591725`, -2.876}, {-6.525370614359172, -2.837}, \ {-6.7233706143591725`, -2.769}, {-6.9973706143591725`, -2.648}, \ {-7.267370614359172, -2.499}, {-7.351370614359173, -2.447}, \ {-7.440370614359172, -2.388}, {-7.536370614359172, -2.322}, \ {-7.639370614359173, -2.247}, {-7.750370614359173, -2.163}, \ {-7.869370614359172, -2.069}, {-7.996370614359172, -1.962}, \ {-8.132370614359171, -1.844}, {-8.278370614359172, -1.711}, \ {-8.434370614359173, -1.564}, {-8.600370614359171, -1.401}, \ {-8.778370614359172, -1.223}, {-8.966370614359173, -1.03}, \ {-9.165370614359173, -0.822}, {-9.375370614359174, -0.602}, \ {-9.596370614359172, -0.372}, {-9.825370614359173, -0.136}, \ {-10.062370614359173`, 0.102}, {-10.307370614359172`, 0.336}, {-10.557370614359172`, 0.56}, {-10.810370614359172`, 0.767}, {-11.064370614359172`, 0.954}, {-11.283370614359173`, 1.095}, {-11.320370614359172`, 1.117}, {-11.368370614359172`, 1.144}, {-11.428370614359173`, 1.177}, {-11.505370614359173`, 1.217}, {-11.601370614359173`, 1.263}, {-11.719370614359173`, 1.314}, {-11.867370614359173`, 1.368}, {-12.047370614359172`, 1.42}, {-12.263370614359172`, 1.461}, {-12.517370614359173`, 1.48}, {-12.808370614359173`, 1.463}, {-13.133370614359173`, 1.398}, {-13.485370614359173`, 1.284}, {-13.858370614359172`, 1.129}, {-14.251370614359173`, 0.965}, {-14.537370614359173`, 0.872}, {-14.566370614359172`, 0.865}, {-14.583370614359172`, 0.862}, {-14.859370614359172`, 0.821}, {-15.174370614359173`, 0.839}, {-15.418370614359173`, 0.899}, {-15.609370614359172`, 0.97}, {-15.759370614359172`, 1.039}, {-15.878370614359172`, 1.099}, {-15.970370614359172`, 1.15}, {-16.043370614359173`, 1.192}, {-16.10037061435917, 1.226}, {-16.144370614359172`, 1.252}, {-16.179370614359172`, 1.273}, {-16.528370614359172`, 1.496}, {-16.807370614359172`, 1.677}, {-17.023370614359173`, 1.813}, {-17.188370614359172`, 1.912}, {-17.31537061435917, 1.984}, {-17.412370614359173`, 2.037}, {-17.487370614359172`, 2.076}, {-17.544370614359174`, 2.104}, {-17.58837061435917, 2.125}, {-17.740370614359172`, 2.193}, {-18.023370614359173`, 2.297}, {-18.221370614359174`, 2.349}, {-18.361370614359174`, 2.374}, {-18.46037061435917, 2.385}, {-18.532370614359174`, 2.389}, {-18.584370614359173`, 2.389}, {-18.79537061435917, 2.369}, {-18.90837061435917, 2.341}, {-18.986370614359174`, 2.315}, {-19.047370614359174`, 2.293}, {-19.098370614359172`, 2.276}, {-19.142370614359173`, 2.262}, {-19.180370614359173`, 2.252}, {-19.212370614359173`, 2.244}, {-19.544370614359174`, 2.182}, {-19.87637061435917, 2.127}, {-20.22537061435917, 2.072}, {-20.554370614359172`, 2.034}, {-20.843370614359173`, 2.024}, {-21.087370614359173`, 2.041}, {-21.287370614359173`, 2.074}, {-21.44837061435917, 2.116}, {-21.575370614359173`, 2.157}, {-21.675370614359174`, 2.196}, {-21.752370614359172`, 2.229}, {-21.813370614359172`, 2.258}, {-21.85937061435917, 2.281}, {-21.895370614359173`, 2.3}, {-22.132370614359175`, 2.44}, {-22.278370614359172`, 2.545}, {-22.39037061435917, 2.642}, {-22.45737061435917, 2.796}, {-22.371370614359172`, 2.815}, {-22.196370614359175`, 2.803}, {-21.912370614359173`, 2.771}, {-21.618370614359172`, 2.748}, {-21.523370614359173`, 2.745}, {-21.42037061435917, 2.744}, {-21.310370614359172`, 2.745}, {-21.191370614359172`, 2.75}, {-21.063370614359172`, 2.759}, {-20.924370614359173`, 2.771}, {-20.77437061435917, 2.789}, {-20.610370614359173`, 2.811}, {-20.431370614359174`, 2.837}, {-20.236370614359174`, 2.866}, {-20.022370614359172`, 2.896}, {-19.78637061435917, 2.923}, {-19.525370614359172`, 2.941}, {-19.237370614359172`, 2.944}, {-18.918370614359173`, 2.919}, {-18.566370614359172`, 2.853}, {-18.181370614359174`, 2.735}, {-17.991370614359173`, 2.658}, {-17.907370614359174`, 2.621}, {-17.822370614359173`, 2.581}, {-17.736370614359174`, 2.538}, {-17.64937061435917, 2.493}, {-17.560370614359172`, 2.445}, {-17.471370614359174`, 2.395}, {-17.381370614359174`, 2.342}, {-17.290370614359173`, 2.288}, {-17.19837061435917, 2.231}, {-17.105370614359174`, 2.172}, {-17.011370614359173`, 2.111}, {-16.91737061435917, 2.05}, {-16.822370614359173`, 1.986}, {-16.727370614359174`, 1.923}, {-16.631370614359174`, 1.858}, {-16.535370614359174`, 1.794}, {-16.439370614359174`, 1.73}, {-16.342370614359172`, 1.666}, {-16.24537061435917, 1.604}, {-16.148370614359173`, 1.543}, {-16.051370614359172`, 1.483}, {-15.954370614359172`, 1.427}, {-15.856370614359172`, 1.372}, {-15.759370614359172`, 1.322}, {-15.660370614359172`, 1.274}, {-15.562370614359173`, 1.231}, {-15.463370614359173`, 1.192}, {-15.364370614359173`, 1.158}, {-15.263370614359172`, 1.13}, {-15.162370614359173`, 1.107}, {-15.059370614359173`, 1.09}, {-14.955370614359172`, 1.079}, {-14.848370614359172`, 1.075}, {-14.739370614359173`, 1.079}, {-14.627370614359172`, 1.089}, {-14.510370614359172`, 1.107}, {-14.389370614359173`, 1.133}, {-14.262370614359172`, 1.166}, {-14.132370614359173`, 1.204}, {-13.989370614359173`, 1.251}, {-13.836370614359172`, 1.303}, {-13.671370614359173`, 1.359}, {-13.491370614359173`, 1.417}, {-13.293370614359173`, 1.474}, {-13.075370614359173`, 1.523}, {-12.832370614359172`, 1.557}, {-12.566370614359172`, 1.566}, {-12.262370614359172`, 1.537}, {-11.922370614359172`, 1.454}, {-11.543370614359173`, 1.297}, {-11.463370614359173`, 1.255}, {-11.381370614359172`, 1.21}, {-11.297370614359172`, 1.16}, {-11.212370614359173`, 1.107}, {-11.125370614359172`, 1.05}, {-11.037370614359173`, 0.989}, {-10.947370614359173`, 0.924}, {-10.855370614359172`, 0.855}, {-10.763370614359172`, 0.781}, {-10.669370614359172`, 0.704}, {-10.574370614359172`, 0.624}, {-10.478370614359171`, 0.539}, {-10.380370614359173`, 0.451}, {-10.282370614359174`, 0.36}, {-10.183370614359173`, 0.266}, {-10.083370614359172`, 0.169}, {-9.982370614359173, 0.069}, {-9.880370614359173, -0.033}, {-9.779370614359173, -0.136}, \ {-9.677370614359173, -0.241}, {-9.574370614359172, -0.348}, \ {-9.472370614359173, -0.455}, {-9.370370614359173, -0.562}, \ {-9.267370614359173, -0.669}, {-9.166370614359172, -0.776}, \ {-9.064370614359174, -0.882}, {-8.963370614359173, -0.986}, \ {-8.863370614359173, -1.09}, {-8.763370614359172, -1.191}, \ {-8.665370614359173, -1.29}, {-8.567370614359172, -1.386}, \ {-8.471370614359174, -1.48}, {-8.375370614359174, -1.571}, \ {-8.281370614359172, -1.659}, {-8.188370614359172, -1.744}, \ {-8.096370614359174, -1.825}, {-8.006370614359174, -1.903}, \ {-7.917370614359172, -1.977}, {-7.830370614359173, -2.047}, \ {-7.745370614359173, -2.114}, {-7.661370614359172, -2.177}, \ {-7.578370614359172, -2.237}, {-7.4973706143591725`, -2.293}, \ {-7.418370614359173, -2.345}, {-7.142370614359172, -2.51}, \ {-6.8003706143591724`, -2.669}, {-6.498370614359173, -2.768}, \ {-6.230370614359172, -2.821}, {-5.994370614359172, -2.841}, \ {-5.786370614359172, -2.837}, {-5.602370614359172, -2.817}, \ {-5.439370614359173, -2.786}, {-5.295370614359173, -2.747}, \ {-5.167370614359172, -2.705}, {-5.053370614359173, -2.66}, \ {-4.951370614359172, -2.612}, {-4.860370614359172, -2.565}, \ {-4.605370614359172, -2.393}, {-4.391370614359172, -2.171}, \ {-4.279370614359172, -1.966}, {-4.231370614359172, -1.774}, \ {-4.226370614359173, -1.592}, {-4.252370614359172, -1.42}, \ {-4.299370614359173, -1.258}, {-4.361370614359172, -1.104}, \ {-4.433370614359173, -0.96}, {-4.512370614359172, -0.826}, \ {-4.595370614359172, -0.7}, {-4.681370614359173, -0.584}, \ {-4.768370614359172, -0.477}, {-4.854370614359173, -0.379}, \ {-4.940370614359172, -0.288}, {-5.024370614359173, -0.206}, \ {-5.1063706143591725`, -0.13}, {-5.186370614359173, -0.062}, \ {-5.2633706143591725`, 0.001}, {-5.4333706143591725`, 0.126}, {-5.7473706143591725`, 0.321}, {-5.992370614359173, 0.455}, {-6.176370614359173, 0.559}, {-6.304370614359173, 0.653}, {-6.379370614359172, 0.746}, {-6.403370614359172, 0.84}, {-6.371370614359172, 0.935}, {-6.278370614359172, 1.027}, {-6.115370614359173, 1.103}, {-5.866370614359172, 1.143}, {-5.511370614359173, 1.106}, {-5.426370614359173, 1.084}, {-5.335370614359173, 1.056}, {-5.2393706143591725`, 1.02}, {-5.137370614359172, 0.977}, {-5.0293706143591725`, 0.925}, {-4.915370614359173, 0.864}, {-4.794370614359172, 0.793}, {-4.667370614359172, 0.71}, {-4.534370614359172, 0.616}, {-4.394370614359172, 0.51}, {-4.247370614359172, 0.392}, {-4.094370614359173, 0.261}, {-3.9353706143591722`, 0.118}, {-3.770370614359173, -0.037}, {-3.600370614359173, -0.203}, \ {-3.424370614359173, -0.378}, {-3.2453706143591727`, -0.562}, \ {-3.0613706143591717`, -0.752}, {-2.8753706143591717`, -0.946}, \ {-2.6863706143591717`, -1.141}, {-2.4973706143591716`, -1.336}, \ {-2.3063706143591727`, -1.526}, {-2.1173706143591726`, -1.711}, \ {-1.929370614359172, -1.887}, {-1.743370614359172, -2.054}, \ {-1.5603706143591722`, -2.208}, {-1.3803706143591725`, -2.351}, \ {-1.2053706143591718`, -2.48}, {-1.0343706143591724`, -2.595}, \ {-0.8683706143591721, -2.697}, {-0.7083706143591719, -2.786}, \ {-0.5533706143591726, -2.862}, {-0.40437061435917165`, -2.927}, \ {-0.2603706143591733, -2.981}, {-0.12337061435917285`, -3.025}, { 0.009629385640828048, -3.061}, {0.13662938564082694`, -3.088}, { 0.2586293856408268, -3.109}, {0.37462938564082826`, -3.124}, { 0.48662938564082836`, -3.134}, {0.5926293856408282, -3.139}, { 0.695629385640828, -3.141}, {0.793629385640827, -3.14}, { 0.8866293856408269, -3.136}, {1.3016293856408279`, -3.091}, { 1.639629385640827, -3.03}, {1.918629385640827, -2.97}, { 2.1516293856408275`, -2.918}, {2.3486293856408267`, -2.875}, { 2.5186293856408284`, -2.841}, {2.665629385640827, -2.815}, { 2.7956293856408276`, -2.794}, {2.9096293856408284`, -2.779}, { 3.011629385640827, -2.767}, {3.3166293856408267`, -2.751}, { 3.604629385640827, -2.765}, {3.8066293856408286`, -2.795}, { 3.9576293856408284`, -2.831}, {4.072629385640827, -2.865}, { 4.162629385640827, -2.896}, {4.232629385640827, -2.922}, { 4.287629385640827, -2.944}, {4.330629385640826, -2.962}, { 4.484629385640826, -3.031}, {4.625629385640828, -3.099}, { 4.768629385640828, -3.171}, {4.917629385640829, -3.248}, { 5.069629385640827, -3.326}, {5.227629385640828, -3.406}, { 5.388629385640826, -3.484}, {5.554629385640826, -3.56}, { 5.723629385640827, -3.631}, {5.895629385640827, -3.697}, { 6.069629385640827, -3.756}, {6.2446293856408275`, -3.808}, { 6.419629385640828, -3.851}, {6.594629385640829, -3.887}, { 6.767629385640827, -3.914}, {6.9386293856408265`, -3.935}, { 7.105629385640828, -3.95}, {7.270629385640827, -3.959}, { 7.431629385640829, -3.964}, {7.5876293856408275`, -3.967}, { 7.7396293856408285`, -3.968}, {7.886629385640827, -3.968}, { 8.029629385640828, -3.968}, {8.16762938564083, -3.968}, { 8.301629385640826, -3.97}, {8.429629385640826, -3.974}, { 8.554629385640826, -3.98}, {8.673629385640826, -3.987}, { 8.78962938564083, -3.997}, {8.900629385640826, -4.01}, { 9.00762938564083, -4.024}, {9.110629385640827, -4.041}, { 9.209629385640827, -4.059}, {9.304629385640826, -4.079}, { 9.395629385640827, -4.101}, {9.795629385640826, -4.223}, { 10.097629385640829`, -4.347}, {10.297629385640828`, -4.45}, { 10.293629385640827`, -4.542}, {10.049629385640827`, -4.504}, { 9.761629385640827, -4.455}, {9.66462938564083, -4.44}, { 9.560629385640826, -4.425}, {9.447629385640827, -4.412}, { 9.326629385640828, -4.399}, {9.195629385640828, -4.389}, { 9.054629385640826, -4.381}, {8.903629385640826, -4.377}, { 8.740629385640826, -4.377}, {8.567629385640828, -4.381}, { 8.381629385640828, -4.389}, {8.182629385640826, -4.401}, { 7.969629385640829, -4.417}, {7.741629385640827, -4.434}, { 7.498629385640829, -4.45}, {7.2396293856408285`, -4.461}, { 6.963629385640829, -4.464}, {6.670629385640826, -4.453}, { 6.360629385640827, -4.422}, {6.032629385640828, -4.368}, { 5.685629385640826, -4.287}, {5.317629385640828, -4.177}, { 4.927629385640827, -4.042}, {4.623629385640829, -3.931}, { 4.538629385640828, -3.9}, {4.451629385640828, -3.868}, { 4.362629385640826, -3.836}, {4.273629385640827, -3.805}, { 4.181629385640829, -3.773}, {4.0876293856408275`, -3.742}, { 3.9926293856408286`, -3.711}, {3.8956293856408273`, -3.682}, { 3.795629385640826, -3.653}, {3.6946293856408268`, -3.626}, { 3.5906293856408276`, -3.6}, {3.484629385640826, -3.576}, { 3.3756293856408277`, -3.555}, {3.2636293856408276`, -3.535}, { 3.147629385640828, -3.519}, {3.028629385640828, -3.505}, { 2.9066293856408283`, -3.494}, {2.7796293856408276`, -3.487}, { 2.6486293856408274`, -3.483}, {2.5136293856408276`, -3.483}, { 2.3726293856408276`, -3.486}, {2.227629385640828, -3.492}, { 2.075629385640827, -3.502}, {1.918629385640827, -3.513}, { 1.7556293856408267`, -3.526}, {1.586629385640828, -3.54}, { 1.4106293856408278`, -3.552}, {1.229629385640827, -3.562}, { 1.041629385640828, -3.567}, {0.8476293856408272, -3.565}, { 0.6486293856408274, -3.555}, {0.445629385640828, -3.534}, { 0.2396293856408267, -3.501}, { 0.030629385640827067`, -3.454}, {-0.17737061435917312`, -3.393}, \ {-0.3853706143591733, -3.317}, {-0.5893706143591722, -3.229}, \ {-0.7893706143591732, -3.13}, {-0.9823706143591728, -3.023}, \ {-1.1683706143591728`, -2.91}, {-1.344370614359173, -2.796}, \ {-1.5103706143591733`, -2.682}, {-1.6653706143591727`, -2.573}, \ {-1.8083706143591733`, -2.471}, {-1.940370614359173, -2.378}, \ {-2.0603706143591722`, -2.295}, {-2.1693706143591722`, -2.225}, \ {-2.267370614359173, -2.166}, {-2.4603706143591726`, -2.079}, \ {-2.775370614359172, -2.103}, {-2.9333706143591733`, -2.193}, \ {-3.0163706143591718`, -2.244}, {-3.116370614359173, -2.301}, \ {-3.240370614359172, -2.366}, {-3.394370614359172, -2.44}, \ {-3.591370614359173, -2.525}, {-3.8483706143591725`, -2.626}, \ {-4.182370614359172, -2.748}, {-4.379370614359173, -2.813}, \ {-4.4733706143591725`, -2.843}, {-4.573370614359172, -2.873}, \ {-4.681370614359173, -2.903}, {-4.795370614359173, -2.933}, \ {-4.919370614359172, -2.962}, {-5.051370614359173, -2.99}, \ {-5.193370614359172, -3.015}, {-5.345370614359172, -3.035}, \ {-5.510370614359172, -3.049}, {-5.687370614359173, -3.055}, \ {-5.877370614359172, -3.048}, {-6.0823706143591725`, -3.026}, \ {-6.303370614359173, -2.984}, {-6.539370614359172, -2.917}, \ {-6.792370614359172, -2.821}, {-7.060370614359172, -2.69}, \ {-7.344370614359172, -2.522}, {-7.641370614359173, -2.314}, \ {-7.950370614359173, -2.067}, {-8.268370614359172, -1.784}, \ {-8.505370614359173, -1.558}, {-8.570370614359172, -1.495}, \ {-8.635370614359172, -1.43}, {-8.700370614359173, -1.365}, \ {-8.765370614359172, -1.299}, {-8.830370614359172, -1.233}, \ {-8.895370614359173, -1.167}, {-8.960370614359173, -1.1}, \ {-9.024370614359173, -1.033}, {-9.089370614359172, -0.966}, \ {-9.153370614359172, -0.899}, {-9.217370614359172, -0.832}, \ {-9.281370614359172, -0.765}, {-9.344370614359173, -0.699}, \ {-9.407370614359174, -0.633}, {-9.470370614359172, -0.567}, \ {-9.778370614359172, -0.251}, {-10.073370614359172`, 0.042}, {-10.354370614359173`, 0.305}, {-10.618370614359172`, 0.532}, {-10.865370614359172`, 0.725}, {-11.094370614359173`, 0.884}, {-11.306370614359173`, 1.011}, {-11.502370614359172`, 1.11}, {-11.681370614359173`, 1.185}, {-11.846370614359172`, 1.239}, {-11.997370614359173`, 1.275}, {-12.135370614359173`, 1.297}, {-12.262370614359172`, 1.307}, {-12.377370614359172`, 1.308}, {-12.483370614359172`, 1.302}, {-12.581370614359173`, 1.289}, {-12.956370614359173`, 1.177}, {-13.196370614359173`, 1.037}, {-13.342370614359172`, 0.9}, {-13.419370614359172`, 0.777}, {-13.442370614359172`, 0.667}, {-13.421370614359173`, 0.571}, {-13.362370614359172`, 0.488}, {-13.267370614359173`, 0.418}, {-13.140370614359172`, 0.36}, {-12.979370614359173`, 0.312}, {-12.782370614359172`, 0.269}, {-12.545370614359172`, 0.221}, {-12.260370614359173`, 0.148}, {-11.920370614359172`, 0.018}, {-11.741370614359173`, -0.077}, {-11.660370614359172`, \ -0.126}, {-11.577370614359172`, -0.182}, {-11.492370614359173`, -0.244}, \ {-11.405370614359173`, -0.313}, {-11.316370614359172`, -0.389}, \ {-11.227370614359172`, -0.474}, {-11.138370614359172`, -0.568}, \ {-11.049370614359173`, -0.67}, {-10.961370614359172`, -0.782}, \ {-10.877370614359172`, -0.904}, {-10.799370614359173`, -1.034}, \ {-10.728370614359171`, -1.175}, {-10.668370614359173`, -1.324}, \ {-10.625370614359172`, -1.484}, {-10.604370614359173`, -1.652}, \ {-10.615370614359172`, -1.83}, {-10.671370614359173`, -2.02}, \ {-10.794370614359172`, -2.221}, {-11.020370614359173`, -2.437}, \ {-11.177370614359173`, -2.542}, {-11.258370614359173`, -2.587}, \ {-11.349370614359172`, -2.631}, {-11.450370614359173`, -2.674}, \ {-11.563370614359172`, -2.716}, {-11.689370614359172`, -2.753}, \ {-11.832370614359172`, -2.786}, {-11.991370614359173`, -2.811}, \ {-12.171370614359173`, -2.824}, {-12.374370614359172`, -2.82}, \ {-12.602370614359172`, -2.793}, {-12.859370614359172`, -2.734}, \ {-13.149370614359173`, -2.632}, {-13.474370614359172`, -2.473}, \ {-13.735370614359173`, -2.314}, {-13.810370614359172`, -2.264}, \ {-13.886370614359173`, -2.21}, {-13.964370614359172`, -2.154}, \ {-14.043370614359173`, -2.094}, {-14.123370614359173`, -2.031}, \ {-14.205370614359172`, -1.965}, {-14.289370614359173`, -1.895}, \ {-14.373370614359173`, -1.822}, {-14.459370614359173`, -1.746}, \ {-14.547370614359172`, -1.667}, {-14.635370614359172`, -1.586}, \ {-14.725370614359171`, -1.501}, {-14.815370614359173`, -1.413}, \ {-14.909370614359172`, -1.322}, {-15.001370614359173`, -1.229}, \ {-15.095370614359172`, -1.135}, {-15.189370614359174`, -1.038}, \ {-15.284370614359172`, -0.94}, {-15.380370614359173`, -0.841}, \ {-15.476370614359173`, -0.74}, {-15.572370614359173`, -0.639}, \ {-15.669370614359172`, -0.538}, {-15.766370614359172`, -0.436}, \ {-15.863370614359173`, -0.335}, {-15.960370614359173`, -0.234}, \ {-16.057370614359172`, -0.134}, {-16.154370614359173`, -0.036}, \ {-16.250370614359174`, 0.061}, {-16.346370614359174`, 0.156}, {-16.441370614359172`, 0.249}, {-16.535370614359174`, 0.339}, {-16.62937061435917, 0.427}}]], LineBox[CompressedData[" 1:eJxFW3dcU9cXD4GEACGQEBTRKiJ7JoEk7HtZ7r1rrfWHOOugVqlbq1XrqrOO ugfuVatIrfqu1lVXca+iWBQXouyNP3LPean/+Mknee/de873fM/3fO+jbdqE 3sOlEokk2E4isfyf8FX5NM9u7dl07eEOz6dpaYvPv315P7E9a59d1nB3ipbO WtPbmB7Ynu3eeMHr6EQt/Vq9asz5du3ZN/GOD3ZmaOmNtm93ZrZqz+Tf/5y8 ZKyWNg8rutmgac/4x5FauiXl4uYKeXt2uYt5UeJQLV16zu5On5JU9qpuX8nt blpatPteRdi7VNax6eGHO2jp06ntBpKCVPbtqJXvZxAtvbtj9iubR6mse5rr wOhILY2LHJeeeDaV7W+6Os1VSz/WF3g/z0ll96a88dMrtDR/1/7xHsdS2dGJ TTeod6O/FGdnJO9LZbHPeixbV+xGD29q7HV2cypLGvoy1/uJGx35x7x41wWp jO/+sBuNejrEvHxOKmta7MvcHW6w/6mprHbWmNOTVrvR/e0/+igzUpnE8m+O G+1+MjS8YFgq62rZ3nA32k7XvL+2K94vzI2W9y7tsbp9KutbkNUUQTf62ZHv NYuIuH432vl/baR6Uyrjy6nR0OJbg5WKoFQ2ePn5ioB/NLBfVSpL5xvQ0OyO LQ96O6QyS/TjF2vo4rUzT0+T4vVTNTRgge+8SzUpuB4NbfNYEZhWnMJmEuOQ U500NMahsNuoZymsvCm7b/w0tHLm1BFjL6ZA/orUsD4hBfKVr6Y53+44X3cy hZl5QNR08mvjk0+HUhhP/xk1/fdv/fySbSns7FbP8Lxdairp99mDfctT2KlO SmnwQjXVGZLygianMJ7e/+H9J6Qwf73iYKtBarqpRcLCVqNSWO+c1vPf9VJT 6Zxd7+cOSUE8qKnptwde2b1SmOXX6bFq2hi4luXSFPZXpuWJanr8szU/dwrC 5/uo6QI6YfkVbQqLPn4l82wbNS30pcd2qlJYm6a757RW0zD7Py71kv/3/dr1 e5NX1iVjftTU7kCw3eD3yZB/bzWdPvpa6yWPk1kgT4ga8HsuGfGopn92bh8R vSOZVfdpukGKmsrvH/M0bkq2rv+f7psSR6xJZsc2f9hzqYsa8rs42brfo5fn j1o3I5mVWuAwUE2HuIwsODAmmfHtfqWmkT/2dMzrncxG8H/42ZDMNlnKcRSu R53MLNViHKKmx0qVszOckgHfX6gBn7bJzAIXxwFq6hhyrsOrmiTWlJxmj7qr 6XduZ0oeFiWxPB8LAtR08Itn128/SWI8HDo1fdzOPXjZxSTEq5revyFvfLwn CevHlX6zyv9wtzlJjMN3livE78skZqnGg61cAT8DkhiHn9IV8NIziRX1sgTA Be7XIYm1sOuvCj3mAvUTl8Q4PNJdYH0hSVgfKsB/iySo5/EqwPOnRFjvUWfA Z14im8eubk/NVtLdH59XfX4skTVlqynjTvTgN9/FvvwpkXE4zHeEeCxKxOc5 Av/MS0S8OUL+pyUivzgifhNZGr+hA8T/f4nInw5w/+6JiB8HempL4KO7pkTW tFjNPKag6Svq/czNEzFfCsQbZZ0t5dJMQc/8dfTDoYsUn6cAPOz/73u3h3nb u2RRjK+CDvzp1lavLRSfpwD8r6FstYcloAqqHNBxCPuR4n4UwKdTKftskIVR FLR6r2RmajpF/lbQ9k7qe7M6UnbRAq+VCohHO4r5UdB/fXoM3phPMN4KenJz 1LzrVwh7dLOqqQIU9EWP+xMnHSHIlwq688PH7b3WEODjGQr6+xVhQ9Z3BOtf QX9Jvtvh/UCC9dz0/KFhBwOiCKsMsBScPY0ZYuur+ZSA+bOnlbfXxjerSMD4 2dOPvWxqF79OAD6Kt4frHyYgXu1plueUnKA/E5C/5HTYqVWv7PcmYL7ktNvz Pz/89kMCu9aElrIGGQ3R91roPSAB4yOjv7baSRJbJWC92tGLV996nc6NZ7w9 vpHSNecT7NKWxjNfHkAb6nxwuHHMlHjkExt4/rB4jJeEHilpGTiqWzy7Yyn3 aAl92O3Auy9N8RifT+TQpTWa5a3jcX2NZNuF0UumyOJZU3E1BbSBTFv9v2df vItj9Zb2mVZPPs36bd203DjklzrC4308jjVa6F1fS/h+1sUhfmoIj/eUOGbJ joddNQl4kjQo4/M4jHcl+a1DUH/P4DgWzgmhgmScPjO+dds41sQWTRmuIDss 99fGYbzKSXXDZ30/2Maxvy3p31hOBuSMHFpSHIt8WU7cB85dfvNOLEtZMrap 5ZeR3mmfR5BfYzHfZaQrj38s5qeU+B39I3ld51isl1KScFzd+0J9DOqHMnLJ Ev+jMdhfymE/62Nw/eVkkub6xtxZMRivCtLTfLvViLQY3G8l+XrEkcSxyTHA /1sriUlRUfVV2xjkvyryZXTDzhl10cyC9s0fqsjSZt77G3KjEc/VEI/t0dg/ ayAfX0djvdSQ/Rud60+ER2O91BDDscKrh9pFo76owfhFswkaC0PVkL7L8jt5 SKLZx6bsmRfVkMdTDFLzyyiMdw2p7xPy/fZzUawtB0g18Ty84vSclVEY32rS aMl/zyjoR8cryfCXLRrzK83snIX+ysrI4ne/rPb512yNt31wbsnTa2bEcyn5 Z+fvHq7Hzdh/Skju9p9W1vxiZnsty0n8COubY0b+Lob4DTMj3t7BelPNiOfX xC20bkqFj5ntsMDj7gviMc9h9x6pmU3mhPQc8P3UxNZb0nv1EeH1mmNiuzIs FZwL8VtuAr3w/BTcf7iJ8fI/e0Tg+Y4yMQ7nRzeFr9J/ONXP0YR8/kQ4MfHX sWWPjGw2T/gLYdP4L4Zc2mNkPJ173go8/pPEzx+FKxXfmH8mRrY22QLQMuH2 dfe9tx2M2L+rhO7KLvJldyJR/9YKMkmnJ7LNkaiPG4Q/ytofnTUiEvlXwng9 6iKxP9uwte8vesbWRSBepczlQVGX5MsRrCUvMFumW/jV8btrIkR+YbyehkVg v7OD7yMjkB9krHDal4u6NRqwf8oYX1+ZAdcvY3w9hQaMt5yppZPSWt03IB/J Ga+H8wYWwf/J2XqPbnrtfgPqbTl7nfViq98yA9aDnPF6HGNgWyzpNsuZ0Klf ni7FwHj71cjZ/5Y73QprYcB8yhh9tn7U5nd60K+DZex6lznpHc7oWTtekHYQ nxV6XL8t4/Wfrgc9clPKvML9JMohetS7Ulh/fz3GR8qAP/UYHxuIV7Ke8cct t2FJjl6zM2P0uH8bll9zOfW8Xo98IGEcD/561FONwlwyK5r56RmHw6UGoXyP i3980+dtFjkpbxD4foL1jNNH/1qB9y+znvFwGasFHq+m9YC+rhSiImaoonvq Gae7kkqB57uDnvF2sqxGgHrRYz+rFYCP9MhvDQKPR4oe67sR8Nt0PeTrk7Bi rO7Bke56rD8J4+sdoUe+sWFxixbHvhsnrl/Kiv2mFfw6Vdy/FPKzRM94OUtt Ge/fe/Ws2NJOT9myGWdfV0Q+1iM/2rEFPy8dMdHOgHpCxnanfrppqzFgPmSQ Px+DFZ+cfxMMyHcyxvlvmAH07DMZ3P8XA+ZPBnh7b0A9JQN8ekegvpMx3n/j InD/MgZ6IQLmy1d2DPptBNa/HQP+ioD5yNGOTbDw9TnxfraIzwg2lQsoKXP6 /mnrlYGRiAcbVhuQNeaKIRKfZ8M4XyVEIv9KIL7dIrEfSNifW4c5FvwvEvlG AuudEYn81SjweGyJxP7bIHC9cF28vlaY9WaCUtXEN7DeKoHzfaIR+2+ZwNfT 28h68oZYKnB+TTdifZUIc7RV3q++MyJePgo3M+2ney01Yj7fC7y/bTdivN8C fk8aUR+9FlrbbX1j+NuI/fOFECS/mtHptRHx9Fzg+ZCaUN/8I/D6bG1CfXRP 4PGOEfn3msD54HMT1vNJ4OspJtQr2wjn5w0m5IMLZMqox1fmnjZhv78N/Sbf hPzzBPhfZka+eE6gHs047xWSc5P+KXPoY2a8naa+JT7zI0PPThc/F8P1WWas hxLC9enfZnbjuuVfKeF8UWtmtyzjy5hyEjb44eY63yjEawXh/NErCufHKvJ5 QXHm1ZlRWA/VoG9+i2K8nIJrQH+c/a9/f6HKXLbzehTGpwauz4vC/NSQH5nb zC5lUbi/GnLVq6bbeFU06vtaq54AfVtLON4HRmO/rSUpxj0/91gUDX6EpJbs 4no3GvtTDeH9QB6D/FhNRscGBK/u+5/esb137kLI4RjkvwpSOuNH1/SqGNRj 5di/Yxkv95xy0G/qWKve4/zVLhb1ajnoh5hYrCfUZwNjMf/lhPfb2bGIp3KI b5MeBL6uAD1SHov6oxLW1z0O5usL1fD9pDjEby3h88HsOJFPCe8Py0R9Wkv6 WfC0LQ7nwTqIX04c1n89uVu16eyBh3HYPxtgP7bx2M8+AT7j4rG/21DOF4vi xX5FO2fHPXp8Ip79aQnveVvK9cjVeNRbdpQ/Pz8e9Z4dhfjGI1/I6AFLfl0S kA9klOuPQHF+kVOH/gMUOYMSsJ/IKfBpAl5vT7neHp+A/ceerlp38v2PMxNQ b9hT3o9WJLBx3HDDealp/oH5QEF5f7mcgPpLAev5kIB4doD5pR3B/TlQ3g/S CebXkW7Z8O+krdkE9bUT+GvOFPHmROcIj7rEB1Dkdyd6eVvfoe8IRT5yAv8p lWJ9KsFP7EoZ2JFK8I/6UeQ3JVz/FUX8Kmlb2QoSO47iepSU+5kzKeJTSfsP 67yow3KK/UIJ/uAOivzpDPc7QjHeKvqiNmfj1a0U8eoC619PkY9dKF08fWXZ Eor+hwv4m5nU6ndwP6AXZd9Z0v+lK/iLJop+oSv4Hf4U9YAr7Wha/25Ac8p+ 2WD550qFcrN8oR3O8ztc6TWLfsojMG/sdgV87SfW7yH/BOPtSjkfBBL0/1xh nn2QAPFo6QrzZmYC8qMLBf2RgP1aRTlfhSRgPFWU60+tiDcVzMP18ViPzoCP gnj0D5wp72d/xWM8nSnwizj/Kum4laaBqaviEa9Keqb1zUsDJsdjv2zCi6Wf DYi3+jWg9+PRD3GioDfjMV6OMG9XxyFeHWF/9+NwXnCgvD/8Js6vDpTz609x ON8poB5GxVn9Dj7fJcZZ/RLeL5vHYf3ZQ3yKYpFP7CnnM0HkM3vwP5bHoj9u Tzl/DI7F/mJPOR/7xVr9DK4HimJQ79rTzPg+x/YdEvnYHvhmdAzymT2V7I85 3KdNjLV+eXxvRqOfrqCc3yeJ/UFBx1virYm21n/HJSfO2+yJwn4vp3x+XCH2 IzkFvRiF65NTzv9pYr+TU+4PdBH7o4zy/hURhfOrjPJ5p6X4exl9epOGv5FG IZ/aAX7fmrG+7CifZ2+ZcT22kM8cszgfgf+z1Yz5t6UjXbdrT803Y7yllOud sWbUT1LYb28z9lv0Y6LMyO8Syuen1mbMj4TyecbObOV7zr9vTNgfGqH//m3C +m8gHK8nTNjv6gnf70YTznt14A98b0J/q5bw+WKECedr1ANdxe+rSWTeuOcL DCasnyqYhz1MyN+VhOutRiPirQL8lgIj4rGccHz8ZcR6Lidczx0xWv0Wjoc1 RvQrykB/TTWi/ioFvTLEiPgsRX/EiPNNKbnv7XPvB39xni4Ff8jpv89cD7+P RLyVYrwiMT6l4E8cjUQ/oJS0fNT8zudzIrHeyiCekyOxv5QRjs+RkdhPyqHf 94206gfQF6K+Rn3hId6vAvMXYY0f4D0C+aAK/JjkCOw3Neh3ReB8W0MmvkqZ X+USYc0X56tSA+anBvTKLQPOazUE6lWcp2sI4NOA+60mvJ4+N2B8qgmftwIM or+A99djf6ogoCf01v1z/vpWj3quhHB+DRTn4SLC+fKBjnE5UlUA+vaIDvvr U9Cbm3WIl8fg/yzRoZ67D+ubqkM/9Tbh8+pIHfLPNdSLOuTv8+CXJepwnjoG +ixMh/nJELhe8dQhvo4LPP72OsTDBWHum5xXboXh+PybwqTT8s4+Z8OxX98V ugz9bmHYz+HYXx8J3navL0SNDUc+fibU7BkoTU4Ox3n8XyH5+KDQqy3CUT++ FCSBxak3P4ShPnslnN78/ZDbF8MQD2+Fd9N2p/fZGIbxfy94Drw25m5GGMb7 o9DJ+DGjX/swzG+JMEXj/t39lmFivcDvP4aiPimH318KxfqvwPuHin4c3j8U +acK7x+KfksN3j8U41MrGBfuXf64JATrt04oqYvd+/RyCOKpXjic8Tf7d3MI +nsNQtWMW+9GTwrB/X8SEhfdaVbSOQT9OgnLunBsxCzvENQbEjZjVLtdP9YE I5/asPGx38g33ArG8xsbNlQljNq3Lxj7ow0b6/r2gzA3GPlKyrYmf9aurCII 50NbdqHTlhxTYhA+X8Zg/4FWf0r7wOjfyS4Q8SVnZEhXiceMAHyenD2bMj0v ThqA8Zazh1UvN/z6sz/GV840Bw+7Zhj9MR4y1tAwIrwi3w/1oIyNWN73YORa P+yfdozjp58f9ktbxuP1mR8+35YNTNuhSi32RfxJGeDDF/WKlI069eS8c5Yv ngfZsOMl6XbjF/tiPiUs5MkSY2amL+JFwnI6fKv3GuWLfkmj0N/csvrrr3xR /zdAfr/wRf6pE7weDT381Ze+qH9qhYjBbafaDPPFebRauHo1ov7cOF+cr6sE iJcv9u8K4WBqx/0Oy32x/ssFcb3Ir4K07+TBe876in4u4PGJL9bzB8EnfMIT dZ0v6MOXRYIYH9CvbwWe7yQ/3P8rgeNhtB+u74WwaEz34K2r/Kz1N2hZoG/r M344f+YLtzN79vd744f96onA8+nuj/t/ICwkl7WXkv2xf9wFvH/jj+vJFXh+ t/kjPq8Llyb5/u2S64/67jLsr9Ef+ew8xCs0APnurCDfP2/R54MDUB/+LkD+ AlBPnBDSotvPnpsTgHx2TKjo1fneipcB+PyjwobzC5+NXCTi91dB1X9bwZkB QdgPzwrPd0rL3dXBOM9dFH7Q0sai48E4j1wTjm7s/+CPomDM1w2s52C8/qbw pkeb7tO6hqAevSP0yJ5/PH9iCOLvofDKZ715+0yxnvNgvVNCUB/lC9PiNy07 MiYE59EC4L/PQ6z8N2v1/lP/6xiC/nahcHf7g7GfzCHYH14J77NCp4cEhWD/ e2NdL3x+j3wSjP20BNbTEMSa8wO+MmHnhuCeWauDMJ4VAueT6CDxPEX4FGDh 30DETxXc73igeJ4ibB+/K/r6D4Gi/hH68XoJRL1VLXA+SAoUzzsExT3HbYbg QNxvDez3UYDolwD+fQOwfzcI1ytOaTbW++P9bRjHqyYA928D9WsKwHlbyqC/ BKCfZAvfZwcwTm+bbVlul79IN89A7M+2jONrUyDGw5ZBPwrC59mygPkzFRce Bln9Vs4vsmD0j6SMxyMyGPuJDeP4Gx6M9W7DNr5XVdL1wVjPEpb5atnQhuvB Vr+X149tCPabT7DfuBCsp0bh1MTaDjWZIYjvemHMy7RHhb+JeKkTzrduvuPL 0hDRHwL8GUKRz6sAz5NCUQ9XCB9yj6+U/S5+LoN+3RiKfFwihMnduvZIDcPz 0GKBr3dpGPLDW4Hz8/0wrJeXQsaI6lYTvcJxf/mQ36/DER8PBIh/OPL7dWFf xoKX/0h0uN9f0a/XYf88Qfj81FWH679B9lj86Yk6sZ7Az1qnQ/80n/D59bQO 59cXBM6zdbie13AeaadHP6SI8PPiAD3y40c8nxTPC0rg+WNFP74M9OAyPeK5 HPTxIT3urwL8qRvi+UQV4fNLkR77dTXoVweD9bwP9muwnic2t8xjSQbrfMH1 3ZcG5K9amB+mGNDfqCMt+HmhQew/BPwDAz6vHs4Hzxtwfqgn/DzJLQL5ox79 tgh8Xj3o6csRyK91hJ9HqCIxnrXo14n6HeefBZFYDzUwf/wunpfVgH/5JhLn txrCz/fdjdbzVb6/eKPVzwT/yYj6pwb09I9G9D9qQc8fMFrPw3l8rxvx/Kse z8+NeP7RAHrawSTqKThv9zVh/BvJXgv+qAnr/xMBP86E54ESmH+/NWF+JbSo rvT6w8UmnKdsKPjvJuQLG/TLxHlQCr+/akJ/TArz6VMT9gtbyv3lCDPj9Oop w/nejPO2HObhLLPVP4D7ma3vl/B8vTJb/Q7wb8yIDwfwH5RR6P84UO6Heoh+ tAPl+PCOwuejv9I/CvWZE+Xz68QofL4TzONLoxDfSsr96J1RqG+VlOOhUPxe BX7lmSjcvwr8gh1ROA+qKJw/R2E9qig/v+0bhXpRhfO8eD7uDH7LP+L5tTP4 KcvE824lBT/djHzpRGG+NqEf4Ah+6CsT9gNHyt83yBXPmzE+OSbU0w6wvm0m fJ4D+DsLTNivFehPmJAvFXC/nuJ5CPo1kSbr+zzcr2tuAv8wzx6eV21E/rQH /+uREedRe/RLjMiH9pSfl641Yr7swQ+ZaER9hv5VV6PVT+bnI75GxIecwvsP kdgv5eBnNc3zkC97eP9nWyT6T/aU1//4SMQTri86EuOD/tinCDzfsacN/H2G CMSXPeXna7MisB4V4KcbI/D59pT7D68M6E/ZU34etkqct/F9nyjxPFIO/uED PfKJDPyxn/Tw/tsDWyqehwIebSmcp+kRD7ZUPL8F/SoFPytWj/6alIrnw8C3 NrQPPw8Rz3Nt6Nvcr7M/1enE+QrxrsP6kFDOx7d0yG8S+P0fYn/7BOc1u3U4 HzXC+ycrdMi3DfB+ynQdziP1cF41XIfzbh28D9RTh/VQi36JznpeAvyms/od 33C/Q4d+bzXh/b88HJ9XRfwGVZa8/Ssc8V9Jrmw9+PL1lnDk00rC9cW34Vg/ FUQZ3OLGi47hOC+UE5gvwtH/KCegJ8IQT2WE66vHoVjvJYTrsYOhGP8SwueL maHYv0oI1xddQ9EfKCHi/Az7KyWpz54n73wdgvqjlIj6B+JVSkR9Df2njPD5 NCXE6pfxeds+BM/bymE/V4Ix3+WE6535wRifCrhffDA+r5KAPxCE70dUkVhF wp3hW4JQL1QRrn9TgrA/VBNWtnzJDwVWvUu4np4aiH5HDQH9GGjNV3r6jZ+/ WBhgPQ/j8Wnwt97f9Xv/2rUj/DEelYTr0z/98Hy+jDSTnon3dvPDfvYBrj/j i/X/jvB5Z50v8vtbAvOZL+qx1wT8BV/0dwvJY+9xRxf7+Irv2+B6fLCfPid8 /rvng89/Rvi8dsjH6kfx/c33wX53n8B87IP1cAvwGOmD5+d/kcE5R2OrnMT7 nyEGy/xc0A7vt4M4SlZlO51qh37PbqGvcs3zVSvaIV6ZsNljrdJzZDvko6ug ZxPEz7eFs1cUkw9oxd8/BH36zhvnoTyh13Pltd/PeaMeeS6AXvdGPnwhTFw5 O6LLBG/0JwvR7xGvfwPz/2fe2C+KYD4qb4u/Lxb4/q61xfV8FDg+drZFPikV jl3Ke79meltRbwo6/S9pAX3biuepMM+FtMV6qgD/S9bW+j4Kr9+nXthvqlHf e1n9KI6P1V7W913Aj/AS/W2cL71Q/9QL3ZY0brb38cL6bxD2e55brZN4Wd+v CbGbNj1ld2u8nw37fePrZZdHfIb8bMvq6m4MeZvYCudhO/bHpQm7thlb4jwt Y+7BB+Z9TPJEvMrw+hbIx3I28dS4qS22emC+5cxn4Jdt8982x/qUs1+aNcS6 dGyO8ZezBaNODFrzWzPUo3JW2G3BzAmhzdCPEb93t77fNDwnqVTa3h3nAxlr 8f3vR3fka1FvytjJjP99V9xci/xgx3o8+7b28L8arG9btvRN5y1tvDTo/9mw tLTIiz33qrGfS9iWsU6jzw1Xox/VKGSnPh7q3kmN+6sX5rxq09yhg1o83xem jVh8Z+YgNc5jVYJ079uc7jPV4vmAcOzDtYhhB8TPZULk0bX39j5XY/8rEXi8 2mhQ/38U+H6GanAeLcJ8aTB+b4TPs5t/XVSkwfm+UID8uOH5T4EQJc+SfjHb DfXsc+GEZf1/uaHezROa9zf88pdai3r1Ea5fi/7BPeHr6IfGn465I55PCqNV vdqcKGgmvu9H4PnNkV8ukAnLC9Norge+b3yNdDteVHBvdQuc73JJpuuM3dfi PHH+vU28pD3KQ294op66SwAPLdFPekBsZg7bMflwS+v7iD+ujvtm3NxW6F8U EL4+Qyu8fxE5ciHls8X/tMTvPxCIX0v0+0pIiU9Q8cGTnjj/lRKX/e50+P0W qGfKyK88Px7W/niug+x1sHdz6/sQHG+XRDyWEx6PYc1QL5URW0u+G9wRv2Wk wa/f5D9XuCN/lJIBS1b0dWvtjnxdStT3NvVPyNJifEsIz6+fFue9j2SPR8Cf vtvdUO8Wk5EFfyn+0bqhnntHxqV/1XXk9xrkt9ekuGbHgzuv1ejXv8B4qtFP ySe7+f1ckd8ekgBJx8dhr12w398gbMPzb698r7Lmt1Vjqz4eLs7IH2eEsUuO nwta5WT1x15sTXNQOjuivnkmwPUK5JNCoX6K3mboRzn2zyLh+kZl3dNBMlEv CKOGhh7o9act6ssKwc63+xcXgqW4n2rhbofAfslrJch/dYJX99ILJxwaBYhH o/Aw8eOGsLJaAc47JCzK/9xph/dVAsxLNgy+LxfAvpSy6ktP3hWqSwXgC1s2 Z3pkc9u5xQLoVzuWn+02ckWLNwLgX8Yyus+d6va4QMDzVSbJvPN22ro8Aeqx 6XPN6hOt8u4I0B/t2ZxwywsRFwU4j7RnkqKbLc/VbhAg/02fp435dsOyPwjo fwWTvNq91DPwJgE+VTC64tD+K2X3CcxPCpYvbRaXnfGUwP4ULHd4+4b9F/8l gK+mz4VPqMlQSIDvFeyo07/nrk1+Q6AfNN2vW9KeTeuLCNS/gm0zuF39btUH AvlXsIyti6fN7ltJoB7sWc4c2fLQTXUE/Fo52zbjyBzJ208E/C85O37zyNTj Z2wo6DUZS0/0cNoRY0uhXmWMjmi91DzLjkJ92zGv7APtdq+QUdifHVMq0pOC Z8ip6M89vKtzqe5oT6G+bNnY95HD5ZkOFOIvZXRl1g7Xbk5UPP8IWNZjTcEv Sgr9RsJYVp+3JZedKeBJwnIDtCdWO7tQ8fxkV+v/zYpJcaXQr21YqzzJhtFt 1RT4Vsqu9xgdNKC1hoJ+s2Ppb6QXPprd8PcyptW/SJCN0FLYvz1cv92dgr5T sBWpqxYU5jej4M86shnnb/2R0tKD4vs2bMq6zllfd22B63Nir/fdGG4a70lB byvZlLF//rRqZkvcn5IFPAv2mjOtFQV/U8mqbew9P6V/RqEfKVlu1ncDHOJa U6hnJasf4N7hV2kbCvpNCes/2YYC/ylZzJLHuo/hXhTf52DygXsaTs/wojCf KVmkY+r79D+9KPifSvZP7gqfYru2FPSpki1NrjnxJLEt7k/Jsq+6LN8/tS2F elUyu1CvVwWH2lLof0r2+vYfB+ye/vf9nMSbYRf3elOoDyW7XVP029GYdphv JdMdN7FjWe0QD0rWVbWxbmVFOwr178wy3qyZVq/3oYB3Z9Zan1nhOtSHAl6d Yf3zfDCfzixzTNDZhVt8KODXmXkczf91/m8+FPSyilFlxqTprXwp+hVsredm vxZdfSn4oyqWkjZre+g0Xwr17sLSNSUOwh5fCvXnwp7WNY+9fMcX8e3CavvN yNy9049y/faNKzx/iD98LnFl7ZfJcuQOAZTzTV81+/H92x8DdwVgftWsfo7t stmGQMDX32rGMkPeqE4EwvOK1extQ9L5vJAgjK+GrU/1iS/9JQjzoWEvZhya 1VsSbP3M4z8kGOrHRsN2dehxQXE8mHI9XK2GeNmGUJgn1Oxop2ld2nQLoVwO FqpZK/mHp+aVIZSn62mTrnmgPqXPDcH4qtmMd4KNm1Moxb83ZI0HFu8cmBhK 4ThaDc+bFErBL1KzFRvsC5Y9C8V6UTPtoNs/3Pk5jEK/ULOPsx7KRrcIp6DP 1Bj/cArng2q2e+L9x8/Ph1OYLzQsKGL7DP+acOQbDctY/XdAT7WOcj6O07Bl 7yPSw9vqKNcLnTXsuveq1lNDdRT6kYbNbbairKS/DutNw/wW3mi4Mk1H4f0t DUvM3u/990Ydhf6vYRs+DHmXekpHOb+WatioV8duvruno5ye3N3YlevzSi59 0FHerk1uLEQxLLGvvR7z7caWnD/YrX9vPfDLSTdmL/33gOsmPeKxSad6/DFN kauHePbUMq2dc4R/hZ7i3/fC964G+P0aLWsWvqaTxMeA69Uyj0Ethz4yGJCP tSx+6KaKVgkGCu1ay1aP/2vPqWUGqJ9yLbu90z/N7pSBcr3n4M46pV2eEfHA QLn+Vrszx9DR59+8xedp3VlQ3pOg6dX/ff7i5cIO9+IiKByfaZnr4UbZZHME 8puWFdQNbXbDNQLqf66WRTv+dGWMJILy/j9OC/EoNVDQL1q2NaM87FahgeLf GzNvvZDbLM9A+XyUpGV3bx6ekrfXQLm+s9Wybjn39r1cY8B6dWNjNDEvL/xg oFyP3HFjm1PHeVR/h9efd4P9jzMA/5xwYyuTk1Y+b4oP9Es39tDnTNZyPwPg sbsbxFNjgPrWubEf1/maZ9oaKOhbN4hXlZ5yupTh/d/rKfiJGna/xrg8+6Se gv7SsAMT22S/2qrH5zXp+iXtlJVL9RT8MA3L1A4f+2Qm4sOsgfhM1FPwPzRs o2ehTZvReuB7Nw1bMHaL165IPeAtW81udmth7N1KT+HvjdXwewc9xb8/hXzX 6nB/auYljzoVX6zD/qOG+L3QUe6vBKoBb0d1WN+usJ91+P0+V7bzknTwvB90 lLeTpa7scY+U06Mm65CfXVnAsb7aHaN1wOfDXNlLv9chu4mOcrrxd2XnuxQf im2nw3y6simkaO5xpfg8F/Y4y0HlXhkOv9/jwhwPnwia8Dgc+4UL9KcL4fg8 Fzb+rHN6u2HhFPSUC1t14aeaEWHhyL8q7GfhUI93VcC/L8Kwv6tYcZ9eH5Zf DaNwfqNiI+KneK3PDsPnq9iWS7/PmdkhDPurioUtOrLvUbMw7Acq6K8fQim+ j8lMxuu2CbdDKfjH2E9OhVL0w9mOVlcOhQ8PpXBeo2JJ5qrFfYNDsR5U7HDr ssj2jci/Q1S4/xDr9fz7syHW+5fu+6pV0t4Q7PcqNmbUJ9M3qSHW9XH+dg1B /KlY5wK3lzmFwRT8UBWr/DSuU/lF7A9TVGzwiLtHBh387/P9HnX5aev/+xyg 8BzRPSgY46+Cfl4bRMHvVrEF54dN7HkvyBoPld2FAW1zgqz7iRrax7P59iAK elTF1nxwd6XxQdjvsR8rg5DvVex0l6zbxsJA7H8qllOxNmvelUAK85Yz63vq ZL/Ko4EU/EZndn3KgAzf7oFQn/Od4XltA5H/nTG+ARTmQWfAT0EA6h28/mYA 1jPqkckBVn2V8Pz1lzu6BVCYR5SItwCK5ymIjwDUp06se7S35usL/rhfJ9Qn /vg8J9BX3/tjf3UEPHztj/rGEX7f2h/qTemI6/ej4Cc6AJ5e+lHwOxwQf34Y fwf4/Sw/xLMC9MxIPyrOCxxfnn5YD/aoD/yw3uyhHrN9Mb5ylu+3tde2HaL+ kUN/TvKlov/zf9byDfw= "]]}}, {RGBColor[0, 1, 0], PolygonBox[{{18.31755592153876, -2.415}, {18.48455592153876, -2.452}, { 18.633555921538758`, -2.469}, {18.76555592153876, -2.471}, { 18.88155592153876, -2.46}, {18.98155592153876, -2.44}, { 19.06755592153876, -2.411}, {19.27655592153876, -2.265}, { 19.33555592153876, -2.111}, {19.33355592153876, -2.072}, { 19.322555921538758`, -2.027}, {19.29755592153876, -1.976}, { 19.252555921538757`, -1.918}, {19.182555921538757`, -1.859}, { 19.078555921538758`, -1.801}, {18.93455592153876, -1.745}, { 18.77455592153876, -1.7}, {18.72855592153876, -1.688}, { 18.66955592153876, -1.673}, {18.59455592153876, -1.655}, { 18.499555921538757`, -1.631}, {18.377555921538757`, -1.598}, { 18.22455592153876, -1.551}, {18.06455592153876, -1.493}, { 18.020555921538758`, -1.475}, {17.96355592153876, -1.451}, { 17.89155592153876, -1.419}, {17.801555921538757`, -1.375}, { 17.68955592153876, -1.315}, {17.55055592153876, -1.233}, { 17.40855592153876, -1.14}, {17.36955592153876, -1.113}, { 17.32055592153876, -1.078}, {17.258555921538758`, -1.033}, { 17.182555921538757`, -0.974}, {17.08855592153876, -0.899}, { 16.97455592153876, -0.802}, {16.85055592153876, -0.692}, { 16.81755592153876, -0.661}, {16.77555592153876, -0.622}, { 16.723555921538757`, -0.573}, {16.659555921538757`, -0.511}, { 16.581555921538758`, -0.433}, {16.42555592153876, -0.272}, { 16.39955592153876, -0.244}, {16.366555921538758`, -0.21}, { 16.32655592153876, -0.167}, {16.27655592153876, -0.113}, { 16.21555592153876, -0.046}, {16.14155592153876, 0.035}, { 16.107555921538758`, 0.073}, {16.10355592153876, 0.076}, { 16.02655592153876, 0.162}, {15.97255592153876, 0.222}, { 15.930555921538758`, 0.268}, {15.89955592153876, 0.303}, { 15.773555921538758`, 0.438}, {15.729555921538758`, 0.484}, { 15.696555921538758`, 0.519}, {15.575555921538758`, 0.641}, { 15.531555921538759`, 0.684}, {15.49555592153876, 0.718}, { 15.467555921538759`, 0.745}, {15.334555921538758`, 0.867}, { 15.294555921538759`, 0.902}, {15.263555921538758`, 0.93}, { 15.129555921538758`, 1.044}, {15.084555921538758`, 1.081}, { 15.048555921538759`, 1.111}, {14.915555921538758`, 1.218}, { 14.86455592153876, 1.258}, {14.823555921538759`, 1.289}, { 14.791555921538759`, 1.314}, {14.638555921538758`, 1.428}, { 14.593555921538758`, 1.46}, {14.558555921538758`, 1.485}, { 14.413555921538759`, 1.585}, {14.366555921538758`, 1.616}, { 14.32955592153876, 1.64}, {14.18155592153876, 1.732}, { 14.137555921538759`, 1.757}, {13.984555921538758`, 1.841}, { 13.941555921538757`, 1.863}, {13.782555921538759`, 1.937}, { 13.50455592153876, 2.032}, {13.237555921538759`, 2.068}, { 13.038555921538759`, 2.072}, {12.77455592153876, 2.095}, { 12.39655592153876, 2.122}, {12.19355592153876, 2.122}, { 12.104555921538758`, 2.12}, {12.015555921538759`, 2.115}, { 11.92555592153876, 2.108}, {11.83555592153876, 2.101}, { 11.746555921538759`, 2.091}, {11.657555921538759`, 2.081}, { 11.336555921538759`, 2.04}, {10.94655592153876, 1.995}, { 10.619555921538758`, 1.982}, {10.352555921538759`, 1.998}, { 10.138555921538758`, 2.034}, {9.969555921538758, 2.078}, { 9.836555921538759, 2.122}, {9.732555921538758, 2.163}, { 9.651555921538758, 2.198}, {9.58855592153876, 2.227}, {9.54055592153876, 2.252}, {9.503555921538759, 2.271}, {9.151555921538758, 2.489}, { 8.935555921538759, 2.665}, {8.844555921538758, 2.778}, { 8.850555921538758, 2.836}, {8.921555921538758, 2.854}, { 9.031555921538759, 2.848}, {9.158555921538758, 2.832}, { 9.28755592153876, 2.813}, {9.40955592153876, 2.795}, {9.519555921538759, 2.781}, {9.615555921538759, 2.771}, {9.696555921538758, 2.764}, { 9.764555921538758, 2.759}, {9.503555921538759, 2.771}, { 9.219555921538758, 2.803}, {9.044555921538759, 2.815}, { 8.958555921538759, 2.796}, {9.025555921538759, 2.642}, { 9.137555921538759, 2.545}, {9.283555921538758, 2.44}, { 9.520555921538758, 2.3}, {9.55655592153876, 2.281}, {9.602555921538759, 2.258}, {9.663555921538759, 2.229}, {9.740555921538759, 2.196}, { 9.840555921538758, 2.157}, {9.967555921538759, 2.116}, { 10.128555921538759`, 2.074}, {10.328555921538758`, 2.041}, { 10.57255592153876, 2.024}, {10.86155592153876, 2.034}, { 11.19055592153876, 2.072}, {11.53955592153876, 2.127}, { 11.871555921538759`, 2.182}, {12.203555921538758`, 2.244}, { 12.235555921538758`, 2.252}, {12.273555921538758`, 2.262}, { 12.317555921538759`, 2.276}, {12.368555921538759`, 2.293}, { 12.429555921538759`, 2.315}, {12.50755592153876, 2.341}, { 12.62055592153876, 2.369}, {12.831555921538758`, 2.389}, { 12.883555921538758`, 2.389}, {12.955555921538759`, 2.385}, { 13.054555921538759`, 2.374}, {13.194555921538758`, 2.349}, { 13.392555921538758`, 2.297}, {13.67555592153876, 2.193}, { 13.827555921538758`, 2.125}, {13.871555921538759`, 2.104}, { 13.92855592153876, 2.076}, {14.003555921538759`, 2.037}, { 14.10055592153876, 1.984}, {14.227555921538759`, 1.912}, { 14.392555921538758`, 1.813}, {14.608555921538759`, 1.677}, { 14.887555921538759`, 1.496}, {15.23655592153876, 1.273}, { 15.27155592153876, 1.252}, {15.31555592153876, 1.226}, { 15.372555921538758`, 1.192}, {15.445555921538759`, 1.15}, { 15.53755592153876, 1.099}, {15.656555921538759`, 1.039}, { 15.80655592153876, 0.97}, {15.997555921538758`, 0.899}, { 16.241555921538758`, 0.839}, {16.55655592153876, 0.821}, { 16.83255592153876, 0.862}, {16.84955592153876, 0.865}, { 16.87855592153876, 0.872}, {17.16455592153876, 0.965}, { 17.557555921538757`, 1.129}, {17.930555921538758`, 1.284}, { 18.28255592153876, 1.398}, {18.607555921538758`, 1.463}, { 18.898555921538758`, 1.48}, {19.15255592153876, 1.461}, { 19.368555921538757`, 1.42}, {19.54855592153876, 1.368}, { 19.69655592153876, 1.314}, {19.81455592153876, 1.263}, { 19.91055592153876, 1.217}, {19.987555921538757`, 1.177}, { 20.04755592153876, 1.144}, {20.095555921538757`, 1.117}, { 20.13255592153876, 1.095}, {20.351555921538758`, 0.954}, { 20.60555592153876, 0.767}, {20.85855592153876, 0.56}, { 21.10855592153876, 0.336}, {21.35355592153876, 0.102}, { 21.59055592153876, -0.136}, {21.819555921538758`, -0.372}, { 22.040555921538758`, -0.602}, {22.25055592153876, -0.822}, { 22.44955592153876, -1.03}, {22.63755592153876, -1.223}, { 22.81555592153876, -1.401}, {22.981555921538757`, -1.564}, { 23.13755592153876, -1.711}, {23.28355592153876, -1.844}, { 23.41955592153876, -1.962}, {23.546555921538758`, -2.069}, { 23.665555921538758`, -2.163}, {23.77655592153876, -2.247}, { 23.87955592153876, -2.322}, {23.97555592153876, -2.388}, { 24.06455592153876, -2.447}, {24.148555921538758`, -2.499}, { 24.418555921538758`, -2.648}, {24.69255592153876, -2.769}, { 24.89055592153876, -2.837}, {25.03555592153876, -2.876}, { 25.142555921538758`, -2.9}, {25.223555921538757`, -2.914}, { 25.28355592153876, -2.923}, {25.33055592153876, -2.929}, { 25.53255592153876, -2.943}, {25.66055592153876, -2.944}, { 25.77655592153876, -2.939}, {25.880555921538758`, -2.931}, { 26.08955592153876, -2.901}, {26.40855592153876, -2.825}, { 26.615555921538757`, -2.758}, {26.75455592153876, -2.704}, { 26.85255592153876, -2.662}, {26.923555921538757`, -2.63}, { 26.97455592153876, -2.606}, {27.01355592153876, -2.587}, { 27.255555921538758`, -2.451}, {27.37655592153876, -2.368}, { 27.456555921538758`, -2.306}, {27.511555921538758`, -2.259}, { 27.549555921538758`, -2.223}, {27.679555921538757`, -2.069}, { 27.725555921538756`, -1.992}, {27.75455592153876, -1.933}, { 27.77155592153876, -1.887}, {27.807555921538757`, -1.727}, { 27.81255592153876, -1.647}, {27.81155592153876, -1.586}, { 27.807555921538757`, -1.538}, {27.77855592153876, -1.372}, { 27.75755592153876, -1.296}, {27.73955592153876, -1.238}, { 27.72355592153876, -1.194}, {27.65955592153876, -1.042}, { 27.627555921538757`, -0.974}, {27.60155592153876, -0.922}, { 27.57955592153876, -0.883}, {27.488555921538758`, -0.729}, { 27.45555592153876, -0.676}, {27.42855592153876, -0.636}, { 27.32055592153876, -0.486}, {27.286555921538756`, -0.442}, { 27.26055592153876, -0.409}, {27.14355592153876, -0.274}, { 27.113555921538758`, -0.242}, {26.987555921538757`, -0.117}, { 26.85455592153876, 0}, {26.72055592153876, 0.106}, {26.47755592153876, 0.286}, {26.34055592153876, 0.395}, {26.21355592153876, 0.505}, { 26.13255592153876, 0.798}, {26.180555921538758`, 0.801}, { 26.229555921538758`, 0.798}, {26.27455592153876, 0.79}, { 26.31555592153876, 0.781}, {26.34955592153876, 0.772}, { 26.549555921538758`, 0.695}, {26.69555592153876, 0.62}, { 26.83055592153876, 0.539}, {26.950555921538758`, 0.459}, { 27.05355592153876, 0.385}, {27.139555921538758`, 0.319}, { 27.103555921538756`, 0.321}, {27.03555592153876, 0.37}, { 26.95755592153876, 0.423}, {26.86955592153876, 0.478}, { 26.77555592153876, 0.531}, {26.59655592153876, 0.603}, { 26.57355592153876, 0.607}, {26.56855592153876, 0.558}, { 26.79455592153876, 0.376}, {26.828555921538758`, 0.349}, { 26.96355592153876, 0.243}, {26.999555921538757`, 0.212}, { 27.136555921538758`, 0.094}, {27.16955592153876, 0.064}, { 27.209555921538758`, 0.026}, {27.32755592153876, -0.09}, { 27.357555921538758`, -0.122}, {27.39455592153876, -0.162}, { 27.50755592153876, -0.291}, {27.53555592153876, -0.327}, { 27.64155592153876, -0.47}, {27.66355592153876, -0.503}, { 27.69055592153876, -0.546}, {27.77955592153876, -0.696}, { 27.80055592153876, -0.736}, {27.828555921538758`, -0.79}, { 27.908555921538756`, -0.954}, {27.927555921538758`, -0.998}, { 27.95255592153876, -1.056}, {27.98355592153876, -1.135}, { 28.03755592153876, -1.292}, {28.051555921538757`, -1.339}, { 28.06755592153876, -1.402}, {28.084555921538758`, -1.485}, { 28.10155592153876, -1.693}, {28.100555921538756`, -1.734}, { 28.09555592153876, -1.786}, {28.08255592153876, -1.855}, { 28.054555921538757`, -1.945}, {27.99455592153876, -2.064}, { 27.88455592153876, -2.204}, {27.84255592153876, -2.245}, { 27.77955592153876, -2.3}, {27.682555921538757`, -2.372}, { 27.52455592153876, -2.472}, {27.249555921538757`, -2.614}, { 27.051555921538757`, -2.7}, {26.850555921538756`, -2.778}, { 26.810555921538757`, -2.792}, {26.75655592153876, -2.811}, { 26.682555921538757`, -2.835}, {26.58355592153876, -2.865}, { 26.444555921538758`, -2.903}, {26.246555921538757`, -2.948}, { 25.95555592153876, -2.991}, {25.64755592153876, -3.006}, { 25.54755592153876, -3.003}, {25.438555921538757`, -2.995}, { 25.31755592153876, -2.982}, {25.185555921538757`, -2.96}, { 25.03955592153876, -2.928}, {24.87855592153876, -2.882}, { 24.70155592153876, -2.819}, {24.50455592153876, -2.734}, { 24.28855592153876, -2.622}, {24.049555921538758`, -2.477}, { 23.78655592153876, -2.294}, {23.499555921538757`, -2.068}, { 23.18755592153876, -1.795}, {23.034555921538757`, -1.651}, { 22.96755592153876, -1.587}, {22.89955592153876, -1.521}, { 22.831555921538758`, -1.454}, {22.761555921538758`, -1.385}, { 22.691555921538757`, -1.314}, {22.61955592153876, -1.242}, { 22.548555921538757`, -1.169}, {22.47555592153876, -1.094}, { 22.40255592153876, -1.018}, {22.32955592153876, -0.942}, { 22.25455592153876, -0.864}, {22.179555921538757`, -0.786}, { 22.104555921538758`, -0.707}, {22.028555921538757`, -0.628}, { 21.95255592153876, -0.548}, {21.87655592153876, -0.469}, { 21.799555921538758`, -0.389}, {21.723555921538757`, -0.31}, { 21.64655592153876, -0.232}, {21.569555921538758`, -0.154}, { 21.49255592153876, -0.076}, {21.415555921538758`, 0}, { 21.33855592153876, 0.075}, {21.261555921538758`, 0.149}, { 21.185555921538757`, 0.221}, {21.109555921538757`, 0.292}, { 21.03355592153876, 0.361}, {20.95755592153876, 0.428}, { 20.88255592153876, 0.493}, {20.75155592153876, 0.603}, { 20.714555921538757`, 0.633}, {20.668555921538758`, 0.67}, { 20.60955592153876, 0.716}, {20.534555921538757`, 0.772}, { 20.441555921538757`, 0.84}, {20.32455592153876, 0.919}, { 20.180555921538758`, 1.01}, {20.005555921538758`, 1.108}, { 19.796555921538758`, 1.207}, {19.552555921538758`, 1.295}, { 19.27455592153876, 1.357}, {18.97255592153876, 1.378}, { 18.65555592153876, 1.344}, {18.342555921538757`, 1.253}, { 18.051555921538757`, 1.113}, {17.804555921538757`, 0.939}, { 17.624555921538757`, 0.742}, {17.62055592153876, 0.735}, { 17.58255592153876, 0.663}, {17.560555921538757`, 0.531}, { 17.58355592153876, 0.441}, {17.624555921538757`, 0.376}, { 17.668555921538758`, 0.33}, {17.71055592153876, 0.297}, { 17.746555921538757`, 0.273}, {17.90255592153876, 0.201}, { 18.05955592153876, 0.16}, {18.20255592153876, 0.137}, { 18.32655592153876, 0.124}, {18.432555921538757`, 0.116}, { 18.520555921538758`, 0.11}, {18.59355592153876, 0.105}, { 18.65255592153876, 0.101}, {18.69955592153876, 0.097}, { 18.73755592153876, 0.094}, {19.09155592153876, 0.044}, { 19.389555921538758`, -0.04}, {19.65255592153876, -0.157}, { 19.87655592153876, -0.295}, {20.060555921538757`, -0.438}, { 20.206555921538758`, -0.575}, {20.319555921538758`, -0.697}, { 20.406555921538757`, -0.804}, {20.47155592153876, -0.893}, { 20.520555921538758`, -0.967}, {20.557555921538757`, -1.026}, { 20.584555921538758`, -1.074}, {20.60555592153876, -1.113}, { 20.69355592153876, -1.307}, {20.74255592153876, -1.468}, { 20.76855592153876, -1.632}, {20.76555592153876, -1.797}, { 20.72855592153876, -1.964}, {20.64955592153876, -2.132}, { 20.51555592153876, -2.302}, {20.313555921538757`, -2.473}, { 20.01955592153876, -2.638}, {19.72455592153876, -2.743}, { 19.63155592153876, -2.766}, {19.53055592153876, -2.786}, { 19.42255592153876, -2.802}, {19.30655592153876, -2.813}, { 19.41155592153876, -2.797}, {19.62355592153876, -2.76}, { 19.81155592153876, -2.708}, {19.976555921538758`, -2.645}, { 20.12255592153876, -2.574}, {20.249555921538757`, -2.499}, { 20.357555921538758`, -2.421}, {20.450555921538758`, -2.34}, { 20.52955592153876, -2.258}, {20.59355592153876, -2.174}, { 20.645555921538758`, -2.088}, {20.68455592153876, -2.002}, { 20.71255592153876, -1.914}, {20.729555921538758`, -1.824}, { 20.73655592153876, -1.734}, {20.73355592153876, -1.643}, { 20.72255592153876, -1.55}, {20.70155592153876, -1.457}, { 20.67355592153876, -1.364}, {20.636555921538758`, -1.27}, { 20.59355592153876, -1.177}, {20.543555921538758`, -1.084}, { 20.487555921538757`, -0.993}, {20.42555592153876, -0.903}, { 20.357555921538758`, -0.816}, {20.28555592153876, -0.731}, { 20.209555921538758`, -0.65}, {20.12955592153876, -0.573}, { 20.046555921538758`, -0.5}, {19.96055592153876, -0.433}, { 19.87355592153876, -0.371}, {19.78355592153876, -0.314}, { 19.69355592153876, -0.264}, {19.601555921538758`, -0.219}, { 19.50955592153876, -0.181}, {19.418555921538758`, -0.148}, { 19.32655592153876, -0.121}, {19.235555921538758`, -0.1}, { 19.145555921538758`, -0.084}, {19.055555921538758`, -0.073}, { 18.967555921538757`, -0.066}, {18.647555921538757`, -0.07}, { 18.24455592153876, -0.118}, {17.88255592153876, -0.169}, { 17.56255592153876, -0.213}, {17.453555921538758`, -0.233}, { 17.44355592153876, -0.236}, {17.26655592153876, -0.302}, { 17.191555921538757`, -0.376}, {17.17055592153876, -0.454}, { 17.180555921538758`, -0.53}, {17.20755592153876, -0.598}, { 17.240555921538757`, -0.658}, {17.27455592153876, -0.708}, { 17.30655592153876, -0.749}, {17.33355592153876, -0.782}, { 17.453555921538758`, -0.907}, {17.688555921538757`, -1.098}, { 17.92055592153876, -1.243}, {18.127555921538757`, -1.344}, { 18.30355592153876, -1.414}, {18.447555921538758`, -1.462}, { 18.563555921538757`, -1.496}, {18.656555921538757`, -1.522}, { 18.729555921538758`, -1.542}, {18.78655592153876, -1.558}, { 18.831555921538758`, -1.571}, {18.990555921538757`, -1.62}, { 19.34355592153876, -1.826}, {19.42255592153876, -2.169}, { 19.37955592153876, -2.246}, {19.30955592153876, -2.322}, { 19.20455592153876, -2.393}, {19.05955592153876, -2.452}, { 18.86455592153876, -2.488}, {18.610555921538758`, -2.486}, { 18.284555921538757`, -2.419}}], {LineBox[CompressedData[" 1:eJxFW3l8jFcXzjoTMVkmiypqSSL7OllnIrl3MjNJprbal6KqqPpUVRVVVbVW UdReVbVTito+VZ/3VlFV1Fa7WiNiyy6JBF/mnued+Mdvfpm8771nec5zznnS ZtAHXYe4ubi4xHi4uDj+z2t/p71418qvh2m+WGzxELfuTizo86GVt5r+sMu+ lh7C26zb1PkrK182MmCqOO4u3BYXd3z4tZX3Nu4+Nvagu7jyTuHqU4us/M76 FYdb73AXi38qX1uzwso/cHx9tbs42Gjq0OJ1Vp4gX+BOz9tv5YMzb3Seu9Rd HN2zSnQTDd8vbbd3ecgxK+80yL/+Fe6ixeETo0tvNJxnzfaWMf4FVp7lfXHt qCwPet9DKz8TcrVm0nD8vNLKt+XdmhC0zUNsStw9coWrjTveNjLAU0zrsb84 MdiG83uKAWE7LUHNbfxpZL95hyo9xYgug2+5h9r4pqPt02eZNaJ1s6ur1sbZ +OVTVd3urNeIfjXRcZntbHzYgscTWapW3PHzqDO8YeMxM5vUf0Ur2KqjpW+O sPHUAfvtOrdGIqjpjqZzF9m44+mR/byF5uHzCSu32vjrOrf6X2ksoksn+d/6 r41/V2+90cMaixmTzRrvwza+r6Xjwo1FevnmpVWnbVxe11tH9v/XxiOSvLa2 6KsTHmLs4MOPbdw3bufK4o064X9o9cMrmlz++fADYxY29aH36XL5n2MPrmqW 4CMMK1cMt4Xm8k+DHBbyEZFHq2q0Ubm8r3SIjxi1cbTvXp7Lq7s5POojDvxb 27lJbi53kxf0ETuunT72skMuzxlYcDrkqo/odGL8vPaDc7n8WOMjwleMuhM/ PJe7yH++YvaFzskHPszlPzRzRIAvvW9WLv94YVOPnr6+omVxt1nHv87lP5ae 7TjI31f8MG1pUPqShs/y59tycX9fse7KenPRrlz+z/ii8CQvX7HbcKPy5/0N z3+j6uX6sN9zYX9fMbCzse/jy7nwr4+YFztg4Mgbufy346tte8t9xNDTp1aO v5fLe0oD4ufFufxRF4cHfMTKPv4v+mvzeIf6aBhY4CMWThkxt7VPHn9FBoSP SBwd1H1EUMNn6Y/XGj7L+E/Jcz7v9BxL0gJTnvN9Mj7Nec7zyZ+/nue0X/X/ 2l//aXAer3h+vv7GuM97efyF42OSL/lrVB7/SAakryjWJ0y1f5LHZTh286Xz TcvjH8qE8RV7+w/VzV6eh/zyFT3HLy7aviqPy4/HfMX+XWOMWRvV+/qKZstt /Zr+nAd/+YnH9zaOGHU8jzeXCe0nts44tKLj33n82+WOf34i4HGk2+5/8viT +uwYsN+P7HFdfZ6f8F3a7B/X+3lcpoOfP+GNaz7i2Z/iTZPP95bXX/g9f8o3 XT6vT476C/pTfgTlA0/8xbaf7TvDW+ZzB3rY9vqLCZOafF4enc8d2Z93y1+M eT45c1h2Pl9XHz0XQ/UUPxZ8P01P3389n+K7k56e3z2fS3gaqRejz9aEzXsr n/J1iZ7uPyGfzx5RWLu5VE/x8nk+f8MBL+4BdP/p+YRvrwSIwiEBUQVz8/mr 9daLMwSI87e7DLAsy+dr6qPvefcA0WF16fjR6/O5TJ9JAZRfB/K5hMMjAaLp yIM2dgjfPx8gBk0Qo44eyye8uB8gXmTfam08k494CRTju80b1uxaPndkx9YW gWLi5pWLTxTlc8fxpvJA0TVk5oHnrnaeKw0ciPi2cwmv0wPF8cbbHnv62vmz SQ4ACRSxLTQR+5vYuQM9rq8LpHhtY4d/A+n+CXb+vsMcZwMpv+12vsTisFCg yLTvO7y5k51LOPIIEk+/OXz0fA874Y1PEOHZADvFz6tBVB+G2xHvQWLfl49D Bo+38++LN9YjcpDovbaFy6yv7fBXkEhyxPciO+I9CPXHTvj0ZpCY7sD79XYu w2twkPjxzczpY3bYKf8+CBKy/v1hJzz5Mojw8oSd4v3rIHHjl8pTk8/aEW9B lF+X7VyWj1VBoltH33MXbtpRb4LEPw7/3reTvUUQ8NlO8X0liOrDIzv5+0WQ sLXul1p4yY56Ekzxs8dO+PFOMNl3lZ3w4eNgqo/L7MDvYIqPKar/gkXYqKIT PT61cwf6xcwMFl0c/v5QvV8w4XPfhs/Dw68fj+5uJ/ycEUzx0wH+mhZM8WXG eScFi0NvLVi42mDnEi7GBosQ26C9E1s0nFf6N9jOxzkCpn8w8BLx0TUY9dhO 9cUaTPFYmk/2iw8WJ9JSPW7Ux29bBx1pHCxWxM8qnFYf79J/d+GP+nwoc5SH S0HA/3ye7zD/H0HEJ3bkEz7+HCQ2eMb1PrQmn+r/N0FirutF++L5+Xyo/BdE +Tg+n0fJAh1E5+mSz3+vdBg8EPUun/yzJ5DqRW4+d6DZ6TXIl3p8cWSDfU6g +HLLsRZ3DCp+BBL+huF8eYGEp3rgV3CgmPxyy6FJVXlclreLAVQvzudRvfsq gH5/XR7iI0AUmGYH6OrxWsJxXADh6bI84FsA+Fke6n8A8ZmpebBngHh2/2z5 jI/ykJ965F8ebyMBVi+aWNIThlryeF19Nne8rad8a5nH/3DQoZt64dVk+oKx D3Ppfk+Aj856qqf7n80lfKnWi2G1PXZ3OaLygQDCk71qvQY+rlTrvYqPueBr AaK7I7/m53IZ7kEBVJ9m5jrxVfp/Qi7wIwD4kcv/dtC15rBn94afy3jKaHif PG9ALnewxwMVesKHmzae7Pi3S0/89rwN+a4nPDpm4yUOOJqlp3z71easF31P rW0y6Ccbf00CHOz3vQ3xrQffsVF+avUUP5Ns4FP+lH/1/NEqC4w/4WkfG9/g oNej/YlPWm2oX/70/Hgb1csiP1H+btaO2iYq3/Rz8mHi277EV0usqKe+qA9W 1F9fys9bVsSXL/HJC1YnP6H6o/J9HzElOvlyr71WvM8H/rSCD+oo/z+zUr2f pwNftiKedSI+b27WwlQrl+ZtpiM8jLTC3zqKt+YNnyU+6Kzgz3j+cwv6Ax3Z 75EF59eJ5e5uZ7ZctoAf6Qhfj1i4LEc9ddRfbLeAH+kQfxbKl9k6su8kC/oT HeHfIAvuryP8tFr4J7Lg6ih/Qht+X97XpeH9Sy9N2H/2Sg7qZ2Nx7euR+zbu yoF9vSmeZudwx2+PKGxE8TkoB/zKS5iPd/RKzcyBvbRkv+AcxKMn4V2ZGfnl QXznnBn8yI3i6Rf1syvh3Woz8MKV8HyOGXzVhfw/w4zzuRBf/NyM/HElvj7W zD+TAOhK/htmhn1chUjx/uxYNzPhx0A38meMmR9xtDsL3MWxm+EXY1uZwQ/d Kf/8zc5+VPKHF5z4004PMel82Nb19znix5P8f5KDf3gKS+X5lr4/cthfQ/V2 Isf7tSL1WMgXLQdx9DdaioceHPinJXzI54g3L+J7Jg7+4YXzc/ANL/Hw19Y9 lzbn6D+9iL97c9RHL7H5yNoDM0qY8/PEQM3Jf/9k4CNe4uW50yPDfmCIDy9R 0zUzZvlHDHjpJYbPt7llWRnwRyu+4vuGn9Iz8DutWPRKv6uNr2Vzed0RGtH5 7WHX09Zm4/6eInbGyAEnhmYjvj3E5PeCns2PyEb8uIv2jfvumFaQBb7gKrr9 d6x30Q9Z+P5LZeAvqxe87JOF/rRWofdnob+qUgbdjdx06Vg7qheDypSML5cX 3P68HXd0o0fbP1RW/j4+dVR6O/jnlnL7kxHJtpJMqt+9zygDvm72afiWTPDN Ycq3y0pbLh2WyaV5Mv9m8vmRmfD/dZbdKCFq5CMT4vEuM2g91vTaZSJ+GvaA Hf+4Sdumk0yo70/Yzx+KJg/bm+DfEtbu340Bi18zEb+2lbGml8I/61JmRH0u Z422jLnx9nEj7F/BpH3WG8G3KliTn1YNHT/VyEOpYLC1Vt9Pat8xgp9XMGnv XCP6qQo2/n9Vq2JjjfBfBZP+DTRyGb4DKlhk4sCkZn9moJ8oY4nXJs6eNC0D eF/C7j9zHXe6Xwb4wUPcJ4P4R0ghO/b6PF/WOQN4e5sd/OjhStchGXj/v+ze 3xMGVs3NwPku0XlOZCDfz9P7woyIz1Os8YXaSlMfI/rTP9i/oQM0C0cb+TmH u4yHWZ8MXacxc43wj0L2+tGI+ccuVvzp0v1v/mmEP5fRzx8Ywf83KPL3fUy8 uwQIocjnG0zoL08q9H4TznNBudmpoMWIL0zwx01F5s9mE+KhQEnrH/B3ozMm xN8jpWParaP9K0zApzJF2scvE/Z8qpxtk/z5xFczkX+1ivSneyb6IRcxTQmJ sBSYgEeuQp7vrAn54SZ4yl6W96sJ8xR30ctnevqK702o3+5iwv1Jez0/NQGP PcTXS44undzZRHwi2VPQ+03wh6c4kD94ZuQFI/JBI1IMs/clTjEC7zViX1mP vmObGlGfNeJoK6/qIS5G4J9GlJ9ZX+hTmAH7aoTMjxOq/z3FKP1V27EdGeDv nkJ8P3r3lYUZ6K88RfzPlWPWf5yBePYQlXWxL+71yHDi75WTnS/fTMlwzuOk PQIywM/chWlX67pfn6TjfG5izx+nLCv/TAf+uAKP0omfrnUh+32ajnx7qXSZ U1zu1zUdePRcIXxKx/zrmSLxrS4N9bxakfb8Ow3+qlRG3uuWULw6DflVpsj7 fZQGfC5WZD7Y0oCvRYq8b3Aa5kl3lEtrjh3S3ksF37qsTFm0wn/43lQ877gi 7TszFfzuGyX6zcK88l6p4BtHKN6jUoFv/zDt5MfHvqxNQb7cZGPeLRo94VQK 7F3ApH/XpKD+F7EL48xb48elYF70mPKrYwo/ecLxr4RVRewOEmEpiN8yNvab UbO6PU/G98uZxNeLyThPJVv/weJ553cmw15PmbTXvGTct4qe/34y5p9VzLPH 0J3bOySjflfTz+OS4e9qwhe/ZP6Xg94/rwZeGriE/5gaZr95dvmWCwbYt4Yt dvjrQMPn2s8OmUevMSBfapjM31kG5HsNPW+0gfrF69VM5lO2wXke9+gbKy5c TwKfeEr4NzsJ9aeS8MuahP68nD57JCFfyxjFYyLsVUrv+yYR+FFK9uyfCLwr pfNFJYKvlrGtxVN693+SgHwuZ58WXsh0/yqBS3g4XcEujl2eFBueAPx5yjaM fBx09rd41KNq9vFQc/W4/vHgE8+YdcDiq6/VxAH/6lhAz6KDvy+KQ7y8YLc7 Zq15LzEO/agL/2vMyB+DT8Zi3ufKd69YtfO392JhTzd+rvVsjwlesfC/O/88 q2DYno0xqAfu/EnnYVGT7THoZz24R1R6m/OPohFPnvyNgWJQyjfR1L/qNHzA 3NEuYaZozIM1PHFHx2dr7kYB3zX80LEub/y8IIrLcO+o5U0vTnLrbI4Cn9Ny w9Xz/hPLI/E+Lf92xKG5v26KhP21PKPf8O7agZHqvJy3vbx51pBmkSrf4f+0 D2je7WKE8/P+FqlPOyyJcH5/0J3JcRd6RaDf0XLuNXPbf5pHoD5q+c2QvbPn 3wp3vj/CI+mH7M3h4Odavs4y9EX16HDUJy3veavHBiU7HPVdy3fYFkz304XD n1q+c1TT7+5faQs+o+X9Bj0sen1LW/BBLd/WzPuDtM/awt/qfcPANzSc4icU +aPhMX3ZyZLcUKf9TDNLh9/cFoL5upYP3FfT5LlXCOLZi19e3Trfs7IN4t+L n1xVKZ5cbQO88eKLHsa+nnigDezViAfKeGqD+tyIB38x6p/v3mmDfGjEy9aP 7WmIaKP2F1zG5/XWuK83f29wkw/fntYa9vam9zVvjf1CYx7tdutHY14r8F0d bx2TZapr1xL1zYf/ICYfGRb2Gp7vwzeYmzSq8G8BfurLm/0T7/N6q+Z4ni/X bZr4Qd9xzZBfvtyadPBvlt9Mnffz4y38vxxwshnwwocPGLiiwvZnc/i7Md9f 3P/ByLYt1P0J77l70re35rZA/+LNO1y/ErXO/TV1/8KnZC7+aMf011BfGvHY uGG/BTRp6bRf4tSxTw7vaol88+KbRqxsdfKtVqhXWp59/eXSb3StUR81/JYj X0e1Rr56Ujxfae3Mv9BtIR/Nad8G9dWNJ2v6RfQ41Abx5or4C8E+y4W/2Lj6 er4IAX6/YDK/80Px/DqWv3ut1+kLoYjfZ6xV76DcK++HIV9rWHM3zauR/mp8 1jCXc5EVbf5ui/pWwyif2wL/a5h8n0s48hM/DwsHf3rGZhycsJV3D+ddpcGe seHzVs40LQxHPD5jEm8Kw+H/WrbMnDnudh81H2uBdxE0H5+K8y+JRP9VR/c7 Fgn71LF2O8d/8cvzSMRHHftuqX3dovQo2KuODTXO6/vlx1HgP3X0/F+isJ+s Jfx1jcb9a9mm5WNitrwRjXh9Rni9IRr8r4alOPzhFgP8q6afD40BP3/K0pLu ZMWfiUG/UMGGOfLDGgv7lbIP/ZP/OqLEol96TM/LiUP/cY9J//8Vh/p2jUm8 ejMePz9KeF8Sj3g5qOTOalH2dGYC5rlXFdk/+idivlyoUD+QCDwrIb60MRH3 rUR/lYj5Uw3xndQk8Nk66sfGJSE/XiqS3+1OQj1xFa2nWS7ueZyE/sJNSH7V xgC+6iaeb7L3bt/FgHhwF7LeTzRwWU5XuhN/ra/3NP92F7I/+t0Af7uLjd+2 2PDTLQPu4y7MDj5Ya8B93en5epWPuFP/mqvyGzfwU5X/uIhhQw4+fKf+M+WD C/HTrsmwh4uQ/U49v6HzvVTm/Id9sZEnI35fKJK/xqt86Lky48HmrBZByajv ddQ/FBtgr1pl1ZOX7e1HDWq8K4/f8F83Zb8BfKRWCbvSxWPYFvW+z5TSDS3P pCwzIH6foT82oP96RucZaED9rKH+xGjA+6vhfwPuW6XI/sTTgP6gSpH862kS 7lulyHnB3STwt6fKN4/OHzacTAK+PaXn7UgCvlYqJ35YmVk6Jwl8tFxZIfvv JOBRmSL52IAk1KdS8PUk8LtSRfo7R+VbJbBnEvhhMZ2vSRLs8YjuV5MIPCpS lr8/3Ovg5UTUz3uK9P+ZRJUvK0NN6f98dTQR9eQO9Ye/JGJ+d1t52zEf2JSI /uMmxfOiRMy3rtL9RiSiPpwh/w1NVOcLiuSX9fyP9oXHFdmfd0vEvKg+s2X8 JaKeH1AkX09PBN5uJHuHJSI+VhP/b56I+NrJZHw0S6T58phdNB/QJALvDrOv gmZdLitNAD6dYH3TB5/78FoC7n+GyXpzIgF4dY5JfjInAfvva8DDBODHvyzB gd+DE2j+veImG+zrZd1ez08Jf++iPiQgngqAtyr+3GN/tBz42TvF8cDvQkZ8 Jx758RD4HQ88e8Qkn5kRD771mMn6lhOP+Cuh34+JB38qZZ8FDOh6rWk8l/B+ tJT47/k4zKPL2aOwWwEb96v8uIK9fiO61eb1cc75yQ+Pe53JXRyH+WYlvT83 jstx8OWnrPveU/PuJcSh3lcxtxfbvWtfi8P5qlh1uO7b/52Lxc9rmKb7wfSf fo1F/17DiL/FIv6fsfunzhZU9ItFPNWy7w+d3v9+bizmb3UsKmHf3leqY+Df 52zE/rDvA2/HIF+eU/2ZHwP+98JZb0hf4sLPVLo/+eGTaPTLLlyeLzBaxTPi G3OicH4XvqTJ7oGN/oqEv1z4l0Wuv7/6TsNnGQ+pkeq8lst6oo1U57lc1ufL EfCfC39Q06fu5JYInNeF/2kvXNhuUgTwwIVT/YyA/sWFj1twzLfLVpUPuHCV T6CeMMmHs9rCXi9ZB++dqVN2h4FPvoS/wlBPXYg/lYTCv+rzQ5338XW5ukA/ TuXLrry37vqBZR1DwY9d+TdifXKvuFDgpSvx36BQzEPcOPGBUOCRG34/BP2D O38tbm6C6402uI8nnWdHG/RjGp7k6Gd2qfxbQ/3HxTaohxpO+RSCeYuGpzr4 QpcQ8BcN/4/kSyHQS2j4747+6UwI4k/DZT/pHQo81fBPDnRuG52pnlfDKZ9D EW8avq/0pxsfzQzF/EVD/H5tqLN/o/wJBT5o+PWq+I//GxCmzoe4jN+jYcBb De86O+8Tn7fbgo9ouOSL89piXqQhfnqwrTqP4sRXVP9q+JqmNwpb1fNF1R6S //YNxz5Qw1W+SP2vlt9b2/7v5qdUvqj2WxGwP/h1hwj0C1qy7/wI2E/Lif9G oD/X8iPll4Z+1ToS8aDlxIcjnT+n80diXqSl8wRGYT6Efu4/Udgnaak/OxqF eqXh1N9Ho95oqJ+eFQ2+6ckJL6OBV568ZEIx69M7BvM8Dy754uEY9NvuvMnW qocfG2Lx2Y0/67Jwx5I1sahfrsj/OPQfLtw/ZtCmB9PjUL9fsL1Hw//8tjoO fKaW/X184sU/hsejP6mhecP1ePClKvb18KWa9Z0TwO8qMZ9IQP0qd9Ynyq8y Jutn90TwsVIm56sL1HpZyiS/PJ0If5Qy4ktJsE8Zk/zmrSTUi3KaD+1NQvxU svm/ddzWp6XKd6qY5HOpBsxfqthPzXcWZXQyAB+rmeS37xqAj9U0T5piQL5V 0/O+NwDvqqn+/towX3rLsb+43PA53PNyM/Ozhu9L/toiGf1gNdtSEn3uLZaM eKxmsr4PTnbWj/6OfcVsdR72lOb5u5KRX08xr0rG/K6C5kmNUsDHy5mcH6an 4P6l7JfXro/q/G4K8rmY/dcx712Wgvn3A3rfXynwbwG7u67c3vJlCvDhBtk/ JRX4d5be914q7LOXyXnxD6nOebvkLxdT0T9dUOR+wCcNeHxboXlaGvhSEfHb CWn4fonS4/bz1oe2p8Gf5Yrk93fSkP9PwffS1Xqq+LpO1QXlp6v9HM1Px6WD r76k+euGdOSbi5DzubPpsJ+rCNl+/PHXdengE240n2+rzrPdhboPoX7ZQ8h4 /TAD/YeHkPZZlIH4xbx7Twb2uZ7UP/yTAbzypP1beYZzvt4iPvVHd3+jio9C 8vsYo3O/SPNlo1MfKvdL/Y04r0YQfzXC3xoh7/+KCfxbI2Q/1suE/PEUcp48 y4R9Pe7zswl8zF1Q/pmc+7snju8XmcAP3cT2XKNLwHOTc78r9wG6TNQHVyH3 bTGZ8N9z6g/iMp3z9UnZc+/8t2km+tly2v/VmFCfnyj+sd6hjy+YgB+Fyohf TzRtsssEfL1F8THPhPtfUuT8e6S6vzmtuL7sNf15JxPi6zfqJwwm9EfrKD7r 7UP5tY7mwS+MmH8cYOc77F/c474R/jtC+bzfiHg7w+R5PjKCj1117uOIb9+k fKr3H/H920z2H6+q/rzLZP/iqz6vgPL5ubpPecCkPzVG6GceM9m/tVZ/v4Tm /Z2Mar/EVr86c1DIYqO6H2Uynq8Z0c+U0nnLjU48kOdrbEL/XUr7vLYm8MES JvfF3AR8Lcb82gT/PmFvvrNwcMeJqr0f0f7wOxP8XUT4ppiAF/fYteoLxb/c MaGe3GE5b2X1bO2dCTy+wcg/mXjfRSb3Mf0ygWcnWe6e9lPPzszE/nIn3XdP JvBzH/AhE/3eGdrPBbVD/3FdCei1wHjU1g7PK1Dkvmt8Oy7T9cZD5UHbWXM3 b2mHeVupIvHvRjvYo4LiLzAL+VFF/WJuFuLnmbLM4d9PsoDPLxS579iaBX7h ImT9+DcL93MVtO/Ixn3cRMs+B8S17GynnkLmy/vZ4KceQubH8mzY05Pw6Ug2 +mEN9mPZ8KdWyPxpwoAXWiH9l8VQn7xo3vI2Q7x40fOmM+zPvGgesoEBb71o //cHA7/2wj5ffV4jcfirpj9OcOXAi0akJ/Tj4JONRNH85exgC455RCPSB0dx 5+9LfUQqV+ejpLcdwNV5tNip7X3j0myOftULemHuvJ/L8GHpAae5Uy8v9YcP OPJLQ3oPFzP4m0Zcd+hhAlW9iIb0TmFmlY+TvibZrPJh0vNxs8p3SR85zOzE 86wx7OqUuWbUP/x8kxn8S0N6oQNm8DmNOPX2gWb7/jKDP2lJn3/RjP5cS/a8 ZVb3CaSnKTIDT7Skzys2Ix+9SN9Tbgb/8hKXMgbOrgzOAd9vRPdPVPU83vT3 CO1zcH5vsv+QHPTLjUnfODkH8aUjvcm3ObAv9Pi7c3AfHzE20qur+WQO+IMv 6Y0LcnB+X9K71uUAz3xJPxRgQX32o/tHWFBf/Mg+mRbME/yg77WgXvnR+QZa EK9+FA8fWpD/fqRXn2zB/M+P9IPzVD2VH+nnVjZ8lnq+Hxu+L/WXexs+y3j8 14J640f6QK0V+ehH921rxf3U86v6MX/SB3VQ9W7+pF/qbQX/9Ce96SAr9Kv+ pCd7z4r49Cf9+wdW6n//40/6oS+tiH9/Ov+3VqrvF/yhT7ICj/Sk39xnBd/X k57ssBX6ZT3Fw0Mr8EwPfZcVfA168wIr5qUBdJ8TVuJbEdCTb7UCH/Skj56t /j2PHnpDfH8j9KCdrMBX6DdTrdALQ+/eyor+QE/P11mhH9aT3vm5xamPlPlS aoE+Vk9610IL7Rfmq/pRC/WHi/RCN2LhwcjLajzBHuctqF96yt99FuIDm/Sk x95swT5XT38fsdxCfO9XPdn7Kwv4pZ70jp9YwC/xvvcs1A+e01O897JgnqQn fWOuBfMSnCel4bP8+5Y2Fui79ZQPvhbs5/Sk16tF/v2hp/gszAE/U/WyOYQ3 3+spng/m0Dx5ip70lptysI/Qk553YQ7Fe4qe9JATc/D3B3r6+4mhOTRv+8uf 9KadcqBn9yd9aFoO3b8D9KMtc1Df/ClfPHPQf/iRvu2hGfXYl/S4p1W9ny/p S/eoekIf6JHNzr83kvnyiRn5qSP79zGDH+jI3ulm5983Sb1gPf4TP2hM+r7H HPjamPD/d7Ue6cg/S1R9nk4kOPSQQ7hTzyn/viSJO/WYpA9isKdOEB9imIfo hOSXmxjyUycOV0y+NWcBg78bi0eyH2KIt/rzOPRD7zDgYWNBegqGfrox9Rup DP1dY+ITLRnwyZve58VwPm/S95VmA3+8hexnr2ajHjRy8gviv41IX7Q9G/5o 5OQjxF+8hNSPTMtGPntRPzMqG/XCi57/Zjb4hJb0gXnZqI9a2ue4ZTvrq+zP t2UBrzyE7O+GZQHv3YjvxGdhnusqJD92yUL9gv7najun3krqpX5th3mNizj1 V1jX4yvaOfWmg/12HPx5XDvc11XI+X1uO+CPG32/NhP45S6W5NwpvXtc5ace QvLXnZngtx5C6nuWZMKeHni++n1PIflrj0zEqyfdNz7TyR/k/MFN1StqSN95 WuXfWurvlppwPvC9nqpeUUv7KJ0J8eFF+6w9RsSrF523q1HdP5O+rKVR1U+Q f7Rqf6kVst8qVvthLfWTFzPAL7T0+wcz8H70q+sz4C8N2eurDNQT9LujMpDv niJoStM3VnXPAP/xFLI/zMjAvNeD9KctMlAPPQTNJ9Lhb3ch9Xu30sF/3Slf fk9X5184j9rfuwo5D5iR7tQfk341HfzUhfhunvr7L5T9jvlJhKovq6PP2nT0 /89Iv1WYBryvpn3O0TTk31PqFzakqXpN2g/NSMM8qIzmE0PT8PwS+pybBn74 mL4fnob6fJ+er0kDXtyl/WxhKvLrJu2rjjXozU4/3TJs7Y+puO8Z6k/mpKr7 IdK7fZAKvrKZ9JJdUzHP2M5kPKc16NFkPjVPhb9P0zzuZQr6lQtM9lsFKXj+ NehBU8D3b1E/uisF/f0dtuu7vLjD36bgfAVM6vmmpsAf9+n3R6SAjz+geV6P FPCNhzR/4inAy8eM5icp6OeK8f5kp95K4tGnqn6tgr3jyM/0ZNTjCpr3vTBg n11B+taT6nywgkl8XK/OE8vZl8FJ3SunqPqzcqZ33H+IAfPWMib33R0NwCv0 44HqvvsRo31lkqo3xTzPgHnETbKPSZ1XXiI97ywD7nMW+jz1/SdpflpiQP05 zqT/vZMxz/uDyXiNSEa9+J3uY0tG/h0gPfIQdV+9neajM5PRL75B+rgtyZiv 71JonpaszksUmn8mY791lvSvoao/rtI8qGMK9tl3FKlPHZuCeXaRIuel36Vg XlWi0Lw1BfhToUi8dOodaxTS36UA714odD5VH+lK87KVKeBLroSPc1KAh26E 1/XvJz0K9Ab9UsA33Kl+ZaZgn4J5X5B6fk/SH9xJxvzKU9C+OBn+0wiaVyc7 +3VpX89kVf8GfFb9pxFyHrRS3fdrUF8NTr2t9OdwA/iAJ80TOhuA555C6jMN 6n7fg+aPwQb4D/XpaRL4jjt9vpAE+7lTfdqThHrnRnqHb5Kwn3YVcr42Mgl4 4Ep/b2BPgr1dyB6hSfDXC4Xmq4l4fx3NZ84nOvUJch61Rd3XVyny7wMmJwKP KhXK90TMR8sUqfeOVvcFxUqbqSv67apLwL6gSKF9VQL6tzuK1+e2TjNeT0C/ dFX5oGDL7kcl8c55ody3LY0HHuxU7o4/vC+HxcOf+5nUsxXGqX9PQPvt+XGY J1xltE9T98e38f1Y9NuF2CfH4rwP2dSF5YvftcXCv8VM7h+rYpBPpYz2pTGo V2VM7m8GxYAvVpC+p3kM8rkSeq1o8Mun0HtGA4/xuXs07l/FpP7xlWjESzUj vV8U9vnVTO5710Zhf1nN5L50RBTuU0PnTY/CfWpIr+QRhfyuwf470qnPlfur hEin3lfuzz+IgD2rmNyXnlT1lJWkF+PhiMcKJlYeN1461BbxVk72f6Mt+GgZ 6anuhSG/S9mrDr3oF2HYL5cy2t+Fwd9l2E+Fov8rY//LO6ALHxIKvljO/g/J F3S/ "]], LineBox[{{-17.21244407846124, 5.734}, {-17.24244407846124, 5.739}, {-17.27344407846124, 5.744}, {-17.30344407846124, 5.746}, {-17.323444078461243`, 5.743}, {-17.179444078461245`, 5.656}, {-16.988444078461242`, 5.575}, {-16.945444078461243`, 5.557}, {-16.88644407846124, 5.534}, {-16.80644407846124, 5.503}, {-16.69744407846124, 5.461}, {-16.545444078461244`, 5.406}, {-16.38644407846124, 5.352}, {-16.33944407846124, 5.337}, {-16.27844407846124, 5.318}, {-16.198444078461243`, 5.294}, {-16.09344407846124, 5.263}, {-15.954444078461243`, 5.227}, {-15.771444078461244`, 5.184}, {-15.54144407846124, 5.14}, {-15.496444078461238`, 5.133}, {-15.438444078461238`, 5.124}, {-15.363444078461242`, 5.114}, {-15.266444078461241`, 5.102}, {-15.140444078461243`, 5.09}, {-14.978444078461244`, 5.078}, {-14.766444078461241`, 5.07}, {-14.522444078461241`, 5.068}, {-14.476444078461242`, 5.069}, {-14.418444078461242`, 5.07}, {-14.34344407846124, 5.071}, {-14.246444078461238`, 5.074}, {-14.121444078461238`, 5.078}, {-13.961444078461241`, 5.084}, {-13.756444078461243`, 5.092}, {-13.448444078461243`, 5.1}, {-13.409444078461242`, 5.101}, {-13.35844407846124, 5.101}, {-13.293444078461242`, 5.102}, {-13.209444078461239`, 5.101}, {-13.10344407846124, 5.1}, {-12.965444078461243`, 5.096}, {-12.790444078461242`, 5.086}, {-12.564444078461243`, 5.067}, {-12.32144407846124, 5.038}, {-12.27744407846124, 5.031}, {-12.221444078461243`, 5.022}, {-12.148444078461242`, 5.01}, {-12.05344407846124, 4.993}, {-11.93144407846124, 4.969}, {-11.77144407846124, 4.935}, {-11.55944407846124, 4.883}, {-11.27444407846124, 4.805}, {-11.10644407846124, 4.756}, {-11.057444078461241`, 4.742}, {-10.993444078461241`, 4.722}, {-10.909444078461242`, 4.697}, {-10.799444078461242`, 4.663}, {-10.65244407846124, 4.619}, {-10.455444078461241`, 4.559}, {-10.183444078461243`, 4.482}, {-9.80044407846124, 4.389}, {-9.708444078461241, 4.37}, {-9.60844407846124, 4.351}, {-9.439444078461243, 4.324}, {-9.39044407846124, 4.317}, {-9.325444078461242, 4.308}, {-9.240444078461241, 4.299}, {-9.127444078461242, 4.288}, {-8.977444078461243, 4.278}, {-8.77444407846124, 4.271}, {-8.49544407846124, 4.273}, {-8.10044407846124, 4.292}, {-8.005444078461242, 4.298}, {-7.90244407846124, 4.305}, {-7.792444078461241, 4.313}, {-7.67244407846124, 4.321}, {-7.542444078461241, 4.329}, {-7.4014440784612425`, 4.337}, {-7.247444078461243, 4.343}, {-7.080444078461241, 4.345}, {-6.89644407846124, 4.344}, {-6.696444078461241, 4.334}, {-6.476444078461242, 4.315}, {-6.18144407846124, 4.27}, {-6.141444078461241, 4.263}, {-6.090444078461243, 4.253}, {-6.02444407846124, 4.239}, {-5.938444078461242, 4.219}, {-5.82644407846124, 4.19}, {-5.680444078461242, 4.148}, {-5.487444078461241, 4.085}, {-5.23344407846124, 3.992}, {-4.89644407846124, 3.851}, {-4.705444078461241, 3.764}, {-4.618444078461241, 3.724}, {-4.525444078461241, 3.681}, {-4.427444078461242, 3.635}, {-4.32344407846124, 3.586}, {-4.214444078461241, 3.535}, {-4.098444078461242, 3.482}, {-3.9754440784612406`, 3.427}, {-3.846444078461243, 3.37}, {-3.708444078461241, 3.313}, {-3.5624440784612403`, 3.257}, {-3.4074440784612428`, 3.201}, {-3.2434440784612413`, 3.149}, {-3.067444078461243, 3.102}, {-2.8794440784612405`, 3.061}, {-2.676444078461241, 3.029}, {-2.45744407846124, 3.008}, {-2.2194440784612404`, 3.}, {-1.9594440784612424`, 3.005}, {-1.671444078461242, 3.024}, {-1.349444078461243, 3.051}, {-0.987444078461241, 3.078}, {-0.5764440784612397, 3.087}, {-0.3664440784612424, 3.077}, {-0.2724440784612412, 3.07}, {-0.17744407846124233`, 3.059}, {-0.0794440784612398, 3.045}, {0.021555921538759293`, 3.029}, { 0.12455592153875727`, 3.008}, {0.23055592153875892`, 2.983}, { 0.336555921538757, 2.955}, {0.4485559215387589, 2.921}, { 0.5615559215387584, 2.883}, {0.6765559215387604, 2.84}, { 0.7935559215387578, 2.792}, {0.9135559215387588, 2.739}, { 1.0345559215387574`, 2.681}, {1.1595559215387574`, 2.617}, { 1.2845559215387574`, 2.549}, {1.4115559215387599`, 2.476}, { 1.53955592153876, 2.399}, {1.682555921538757, 2.31}, { 1.7235559215387575`, 2.284}, {1.775555921538757, 2.25}, { 1.8415559215387596`, 2.207}, {1.927555921538758, 2.15}, { 2.03655592153876, 2.077}, {2.1765559215387604`, 1.983}, { 2.3545559215387577`, 1.864}, {2.5805559215387603`, 1.716}, { 2.8645559215387593`, 1.542}, {3.2215559215387586`, 1.357}, { 3.416555921538759, 1.279}, {3.5035559215387586`, 1.25}, { 3.5965559215387586`, 1.224}, {3.693555921538758, 1.202}, { 3.794555921538759, 1.184}, {3.9025559215387595`, 1.172}, { 4.0165559215387585`, 1.167}, {4.138555921538758, 1.17}, { 4.269555921538759, 1.182}, {4.410555921538759, 1.204}, { 4.5645559215387586`, 1.238}, {4.7345559215387585`, 1.283}, { 4.924555921538758, 1.34}, {5.139555921538758, 1.408}, { 5.387555921538759, 1.481}, {5.677555921538758, 1.551}, { 6.022555921538759, 1.599}, {6.4395559215387586`, 1.592}, { 6.5325559215387585`, 1.58}, {6.628555921538759, 1.563}, { 6.7295559215387595`, 1.541}, {6.833555921538759, 1.513}, { 6.942555921538759, 1.479}, {7.054555921538759, 1.437}, { 7.171555921538758, 1.388}, {7.292555921538758, 1.33}, { 7.4185559215387595`, 1.264}, {7.5485559215387585`, 1.188}, { 7.683555921538758, 1.103}, {7.8225559215387594`, 1.007}, { 7.965555921538758, 0.9}, {8.112555921538759, 0.784}, { 8.263555921538758, 0.657}, {8.41855592153876, 0.52}, { 8.576555921538759, 0.374}, {8.737555921538759, 0.219}, { 8.900555921538759, 0.057}, {9.06655592153876, -0.11}, { 9.233555921538759, -0.283}, {9.401555921538758, -0.458}, { 9.570555921538759, -0.635}, {9.738555921538758, -0.811}, { 9.906555921538759, -0.985}, {10.07255592153876, -1.155}, { 10.23655592153876, -1.319}, {10.398555921538758`, -1.476}, { 10.558555921538758`, -1.626}, {10.714555921538759`, -1.766}, { 10.86755592153876, -1.897}, {11.012555921538759`, -2.016}, { 11.157555921538759`, -2.127}, {11.297555921538759`, -2.227}, { 11.433555921538758`, -2.318}, {11.56555592153876, -2.398}, { 11.692555921538759`, -2.47}, {11.814555921538759`, -2.532}, { 11.932555921538759`, -2.586}, {12.047555921538759`, -2.632}, { 12.156555921538759`, -2.671}, {12.260555921538758`, -2.703}, { 12.360555921538758`, -2.729}, {12.456555921538758`, -2.749}, { 12.547555921538759`, -2.764}, {12.853555921538758`, -2.786}, { 13.19655592153876, -2.755}, {13.46955592153876, -2.684}, { 13.686555921538758`, -2.594}, {13.857555921538758`, -2.495}, { 13.991555921538758`, -2.394}, {14.093555921538758`, -2.292}, { 14.171555921538758`, -2.192}, {14.226555921538758`, -2.093}, { 14.263555921538758`, -1.996}, {14.285555921538759`, -1.902}, { 14.294555921538759`, -1.81}, {14.291555921538759`, -1.721}, { 14.250555921538758`, -1.525}, {14.237555921538759`, -1.489}, { 14.22055592153876, -1.446}, {14.197555921538758`, -1.394}, { 14.165555921538758`, -1.333}, {14.122555921538758`, -1.264}, { 14.067555921538759`, -1.187}, {13.999555921538759`, -1.107}, { 13.918555921538758`, -1.029}, {13.828555921538758`, -0.962}, { 13.621555921538759`, -0.912}, {13.607555921538758`, -0.931}, { 13.647555921538759`, -1.09}, {13.726555921538758`, -1.242}, { 13.747555921538758`, -1.284}, {13.822555921538758`, -1.446}, { 13.837555921538758`, -1.483}, {13.854555921538758`, -1.532}, { 13.897555921538759`, -1.703}, {13.903555921538759`, -1.748}, { 13.907555921538759`, -1.806}, {13.906555921538759`, -1.88}, { 13.895555921538758`, -1.97}, {13.862555921538759`, -2.085}, { 13.781555921538759`, -2.236}, {13.581555921538758`, -2.435}, { 13.32155592153876, -2.578}, {13.15555592153876, -2.635}, { 13.11155592153876, -2.646}, {13.051555921538759`, -2.659}, { 12.884555921538759`, -2.683}, {12.831555921538758`, -2.687}, { 12.759555921538759`, -2.69}, {12.55055592153876, -2.681}, { 12.505555921538758`, -2.676}, {12.44655592153876, -2.668}, { 12.365555921538759`, -2.654}, {12.256555921538759`, -2.63}, { 12.02755592153876, -2.559}, {11.988555921538758`, -2.545}, { 11.935555921538759`, -2.524}, {11.866555921538758`, -2.495}, { 11.77455592153876, -2.453}, {11.64955592153876, -2.39}, { 11.479555921538758`, -2.293}, {11.21655592153876, -2.119}, { 11.182555921538759`, -2.095}, {11.138555921538758`, -2.064}, { 11.081555921538758`, -2.021}, {11.00755592153876, -1.963}, { 10.90855592153876, -1.885}, {10.77755592153876, -1.776}, { 10.603555921538758`, -1.623}, {10.369555921538758`, -1.405}, { 10.147555921538759`, -1.188}, {10.07955592153876, -1.121}, { 9.962555921538758, -1.002}, {9.92855592153876, -0.967}, { 9.885555921538758, -0.923}, {9.82955592153876, -0.865}, { 9.756555921538759, -0.789}, {9.66255592153876, -0.691}, { 9.54055592153876, -0.563}, {9.381555921538759, -0.397}, { 9.17555592153876, -0.183}, {8.908555921538758, 0.09}, { 8.760555921538758, 0.238}, {8.693555921538758, 0.303}, { 8.622555921538758, 0.371}, {8.549555921538758, 0.441}, { 8.472555921538758, 0.512}, {8.334555921538758, 0.637}, { 8.302555921538758, 0.665}, {8.262555921538759, 0.701}, { 8.21055592153876, 0.746}, {8.14355592153876, 0.801}, { 8.058555921538758, 0.871}, {7.951555921538759, 0.956}, { 7.8145559215387586`, 1.058}, {7.642555921538758, 1.177}, { 7.428555921538759, 1.309}, {7.163555921538759, 1.445}, { 6.8435559215387585`, 1.569}, {6.678555921538759, 1.615}, { 6.632555921538758, 1.625}, {6.574555921538758, 1.637}, { 6.501555921538758, 1.65}, {6.410555921538759, 1.663}, { 6.296555921538758, 1.674}, {6.155555921538758, 1.68}, { 5.982555921538758, 1.677}, {5.775555921538759, 1.658}, { 5.473555921538759, 1.607}, {5.435555921538759, 1.598}, { 5.385555921538758, 1.588}, {5.323555921538759, 1.573}, { 5.246555921538759, 1.555}, {5.149555921538759, 1.531}, { 5.030555921538758, 1.501}, {4.883555921538759, 1.464}, { 4.704555921538759, 1.423}, {4.537555921538759, 1.391}, { 4.491555921538758, 1.383}, {4.433555921538758, 1.375}, { 4.3595559215387585`, 1.366}, {4.265555921538759, 1.358}, { 4.148555921538758, 1.354}, {3.999555921538759, 1.359}, { 3.786555921538758, 1.387}, {3.743555921538759, 1.396}, { 3.687555921538758, 1.409}, {3.6155559215387587`, 1.428}, { 3.5225559215387587`, 1.456}, {3.4045559215387584`, 1.499}, { 3.2505559215387585`, 1.564}, {3.052555921538758, 1.664}, { 3.012555921538759, 1.685}, {2.961555921538759, 1.714}, { 2.8965559215387593`, 1.751}, {2.8115559215387584`, 1.802}, { 2.7025559215387602`, 1.871}, {2.560555921538757, 1.963}, { 2.3765559215387597`, 2.087}, {2.241555921538758, 2.181}, { 2.2025559215387602`, 2.208}, {2.153555921538757, 2.243}, { 2.089555921538757, 2.287}, {2.00755592153876, 2.345}, { 1.9015559215387583`, 2.418}, {1.765555921538759, 2.512}, { 1.5915559215387596`, 2.629}, {1.3675559215387594`, 2.773}, { 1.0845559215387581`, 2.942}, {0.7305559215387589, 3.128}, { 0.5405559215387576, 3.215}, {0.456555921538758, 3.25}, { 0.36955592153875827`, 3.285}, {0.2795559215387584, 3.319}, { 0.18655592153875844`, 3.352}, {-0.10344407846124071`, 3.443}, {-0.26544407846123974`, 3.486}, {-0.42844407846124, 3.526}, {-0.5924440784612415, 3.562}, {-0.7514440784612404, 3.598}, {-0.9144440784612407, 3.636}, {-1.1804440784612424`, 3.72}, {-1.2514440784612404`, 3.901}, {-1.0944440784612404`, 3.978}, {-0.9164440784612395, 4.028}, {-0.8604440784612422, 4.04}, {-0.7814440784612415, 4.054}, {-0.6644440784612407, 4.071}, {-0.4914440784612424, 4.086}, {-0.43544407846124145`, 4.089}, {-0.36044407846124216`, 4.092}, {-0.25644407846124295`, 4.092}, {-0.10844407846123971`, 4.087}, {0.10655592153876015`, 4.068}, {0.35355592153876003`, 4.029}, {0.3995559215387594, 4.02}, { 0.46055592153875935`, 4.007}, {0.5415559215387589, 3.988}, { 0.6505559215387571, 3.961}, {0.7975559215387591, 3.918}, { 1.0015559215387597`, 3.851}, {1.2875559215387575`, 3.743}, { 1.5745559215387601`, 3.623}, {1.66455592153876, 3.583}, { 1.7615559215387577`, 3.54}, {1.865555921538757, 3.493}, { 1.97855592153876, 3.443}, {2.1655559215387576`, 3.36}, { 2.2085559215387605`, 3.341}, {2.264555921538758, 3.317}, { 2.3375559215387582`, 3.286}, {2.4335559215387583`, 3.246}, { 2.5595559215387595`, 3.196}, {2.727555921538759, 3.133}, { 2.954555921538759, 3.059}, {3.267555921538758, 2.979}, { 3.5755559215387596`, 2.929}, {3.671555921538758, 2.919}, { 3.775555921538759, 2.911}, {3.887555921538759, 2.906}, { 4.010555921538758, 2.905}, {4.143555921538759, 2.908}, { 4.289555921538758, 2.915}, {4.45055592153876, 2.926}, { 4.629555921538758, 2.943}, {4.828555921538758, 2.964}, { 5.050555921538759, 2.987}, {5.302555921538758, 3.009}, { 5.587555921538758, 3.023}, {5.914555921538758, 3.018}, { 6.288555921538759, 2.976}, {6.706555921538758, 2.877}, { 6.746555921538759, 2.865}, {6.7985559215387585`, 2.848}, { 6.866555921538758, 2.824}, {6.954555921538759, 2.792}, { 7.069555921538759, 2.746}, {7.220555921538759, 2.679}, { 7.417555921538758, 2.582}, {7.677555921538758, 2.438}, { 8.019555921538759, 2.228}, {8.097555921538758, 2.178}, { 8.17855592153876, 2.124}, {8.264555921538758, 2.067}, { 8.355555921538759, 2.007}, {8.449555921538758, 1.943}, { 8.549555921538758, 1.876}, {8.654555921538758, 1.806}, { 8.764555921538758, 1.733}, {8.88055592153876, 1.658}, { 9.001555921538758, 1.582}, {9.128555921538759, 1.505}, { 9.262555921538759, 1.43}, {9.40255592153876, 1.357}, { 9.549555921538758, 1.289}, {9.70455592153876, 1.229}, { 9.868555921538759, 1.178}, {10.04355592153876, 1.142}, { 10.230555921538759`, 1.123}, {10.43455592153876, 1.126}, { 10.660555921538759`, 1.155}, {10.916555921538759`, 1.216}, { 11.218555921538758`, 1.309}, {11.58555592153876, 1.427}, { 11.788555921538759`, 1.485}, {11.883555921538758`, 1.508}, { 11.982555921538758`, 1.53}, {12.08855592153876, 1.55}, { 12.199555921538758`, 1.566}, {12.31855592153876, 1.578}, { 12.44355592153876, 1.584}, {12.577555921538758`, 1.583}, { 12.71955592153876, 1.574}, {12.87055592153876, 1.553}, { 13.032555921538759`, 1.519}, {13.203555921538758`, 1.47}, { 13.385555921538758`, 1.402}, {13.57955592153876, 1.314}, { 13.785555921538759`, 1.202}, {14.00155592153876, 1.065}, { 14.230555921538759`, 0.901}, {14.46955592153876, 0.71}, { 14.71955592153876, 0.492}, {14.977555921538759`, 0.249}, { 15.24255592153876, -0.014}, {15.513555921538758`, -0.292}, { 15.78755592153876, -0.578}, {16.06155592153876, -0.865}, { 16.334555921538758`, -1.145}, {16.60255592153876, -1.413}, { 16.86455592153876, -1.66}, {17.118555921538757`, -1.885}, { 17.363555921538758`, -2.083}, {17.59655592153876, -2.254}, { 17.81855592153876, -2.398}, {18.02955592153876, -2.516}, { 18.22755592153876, -2.61}, {18.41455592153876, -2.684}, { 18.589555921538757`, -2.738}, {18.752555921538757`, -2.776}, { 18.90555592153876, -2.801}, {19.04855592153876, -2.814}, { 19.182555921538757`, -2.818}, {19.30655592153876, -2.813}, { 19.42255592153876, -2.802}, {19.53055592153876, -2.786}, { 19.63155592153876, -2.766}, {19.72455592153876, -2.743}, { 20.01955592153876, -2.638}, {20.313555921538757`, -2.473}, { 20.51555592153876, -2.302}, {20.64955592153876, -2.132}, { 20.72855592153876, -1.964}, {20.76555592153876, -1.797}, { 20.76855592153876, -1.632}, {20.74255592153876, -1.468}, { 20.69355592153876, -1.307}, {20.60555592153876, -1.113}, { 20.584555921538758`, -1.074}, {20.557555921538757`, -1.026}, { 20.520555921538758`, -0.967}, {20.47155592153876, -0.893}, { 20.406555921538757`, -0.804}, {20.319555921538758`, -0.697}, { 20.206555921538758`, -0.575}, {20.060555921538757`, -0.438}, { 19.87655592153876, -0.295}, {19.65255592153876, -0.157}, { 19.389555921538758`, -0.04}, {19.09155592153876, 0.044}, { 18.73755592153876, 0.094}, {18.69955592153876, 0.097}, { 18.65255592153876, 0.101}, {18.59355592153876, 0.105}, { 18.520555921538758`, 0.11}, {18.432555921538757`, 0.116}, { 18.32655592153876, 0.124}, {18.20255592153876, 0.137}, { 18.05955592153876, 0.16}, {17.90255592153876, 0.201}, { 17.746555921538757`, 0.273}, {17.71055592153876, 0.297}, { 17.668555921538758`, 0.33}, {17.624555921538757`, 0.376}, { 17.58355592153876, 0.441}, {17.560555921538757`, 0.531}, { 17.58255592153876, 0.663}, {17.62055592153876, 0.735}, { 17.624555921538757`, 0.742}, {17.804555921538757`, 0.939}, { 18.051555921538757`, 1.113}, {18.342555921538757`, 1.253}, { 18.65555592153876, 1.344}, {18.97255592153876, 1.378}, { 19.27455592153876, 1.357}, {19.552555921538758`, 1.295}, { 19.796555921538758`, 1.207}, {20.005555921538758`, 1.108}, { 20.180555921538758`, 1.01}, {20.32455592153876, 0.919}, { 20.441555921538757`, 0.84}, {20.534555921538757`, 0.772}, { 20.60955592153876, 0.716}, {20.668555921538758`, 0.67}, { 20.714555921538757`, 0.633}, {20.75155592153876, 0.603}, { 20.88255592153876, 0.493}, {20.95755592153876, 0.428}, { 21.03355592153876, 0.361}, {21.109555921538757`, 0.292}, { 21.185555921538757`, 0.221}, {21.261555921538758`, 0.149}, { 21.33855592153876, 0.075}, {21.415555921538758`, 0}, { 21.49255592153876, -0.076}, {21.569555921538758`, -0.154}, { 21.64655592153876, -0.232}, {21.723555921538757`, -0.31}, { 21.799555921538758`, -0.389}, {21.87655592153876, -0.469}, { 21.95255592153876, -0.548}, {22.028555921538757`, -0.628}, { 22.104555921538758`, -0.707}, {22.179555921538757`, -0.786}, { 22.25455592153876, -0.864}, {22.32955592153876, -0.942}, { 22.40255592153876, -1.018}, {22.47555592153876, -1.094}, { 22.548555921538757`, -1.169}, {22.61955592153876, -1.242}, { 22.691555921538757`, -1.314}, {22.761555921538758`, -1.385}, { 22.831555921538758`, -1.454}, {22.89955592153876, -1.521}, { 22.96755592153876, -1.587}, {23.034555921538757`, -1.651}, { 23.18755592153876, -1.795}, {23.499555921538757`, -2.068}, { 23.78655592153876, -2.294}, {24.049555921538758`, -2.477}, { 24.28855592153876, -2.622}, {24.50455592153876, -2.734}, { 24.70155592153876, -2.819}, {24.87855592153876, -2.882}, { 25.03955592153876, -2.928}, {25.185555921538757`, -2.96}, { 25.31755592153876, -2.982}, {25.438555921538757`, -2.995}, { 25.54755592153876, -3.003}, {25.64755592153876, -3.006}, { 25.95555592153876, -2.991}, {26.246555921538757`, -2.948}, { 26.444555921538758`, -2.903}, {26.58355592153876, -2.865}, { 26.682555921538757`, -2.835}, {26.75655592153876, -2.811}, { 26.810555921538757`, -2.792}, {26.850555921538756`, -2.778}, { 27.051555921538757`, -2.7}, {27.249555921538757`, -2.614}, { 27.52455592153876, -2.472}, {27.682555921538757`, -2.372}, { 27.77955592153876, -2.3}, {27.84255592153876, -2.245}, { 27.88455592153876, -2.204}, {27.99455592153876, -2.064}, { 28.054555921538757`, -1.945}, {28.08255592153876, -1.855}, { 28.09555592153876, -1.786}, {28.100555921538756`, -1.734}, { 28.10155592153876, -1.693}, {28.084555921538758`, -1.485}, { 28.06755592153876, -1.402}, {28.051555921538757`, -1.339}, { 28.03755592153876, -1.292}, {27.98355592153876, -1.135}, { 27.95255592153876, -1.056}, {27.927555921538758`, -0.998}, { 27.908555921538756`, -0.954}, {27.828555921538758`, -0.79}, { 27.80055592153876, -0.736}, {27.77955592153876, -0.696}, { 27.69055592153876, -0.546}, {27.66355592153876, -0.503}, { 27.64155592153876, -0.47}, {27.53555592153876, -0.327}, { 27.50755592153876, -0.291}, {27.39455592153876, -0.162}, { 27.357555921538758`, -0.122}, {27.32755592153876, -0.09}, { 27.209555921538758`, 0.026}, {27.16955592153876, 0.064}, { 27.136555921538758`, 0.094}, {26.999555921538757`, 0.212}, { 26.96355592153876, 0.243}, {26.828555921538758`, 0.349}, { 26.79455592153876, 0.376}, {26.56855592153876, 0.558}, { 26.57355592153876, 0.607}, {26.59655592153876, 0.603}, { 26.77555592153876, 0.531}, {26.86955592153876, 0.478}, { 26.95755592153876, 0.423}, {27.03555592153876, 0.37}, { 27.103555921538756`, 0.321}, {27.16055592153876, 0.279}, { 27.20855592153876, 0.242}, {27.246555921538757`, 0.212}, { 27.27855592153876, 0.187}, {27.48955592153876, 0.009}, { 27.75455592153876, -0.234}, {27.996555921538757`, -0.468}, { 28.20755592153876, -0.68}, {28.386555921538758`, -0.862}, { 28.53555592153876, -1.014}, {28.65655592153876, -1.139}, { 28.75455592153876, -1.238}, {28.83255592153876, -1.318}, { 28.89355592153876, -1.38}, {28.94255592153876, -1.429}, { 28.981555921538757`, -1.468}, {29.011555921538758`, -1.498}, { 29.15955592153876, -1.644}, {29.27655592153876, -1.757}, { 29.39055592153876, -1.865}, {29.50155592153876, -1.967}, { 29.60855592153876, -2.063}, {29.71155592153876, -2.153}, { 29.810555921538757`, -2.237}, {29.905555921538756`, -2.315}, { 29.99755592153876, -2.388}, {30.084555921538758`, -2.455}, { 30.16855592153876, -2.517}, {30.24855592153876, -2.573}, { 30.424555921538758`, -2.691}, {30.743555921538757`, -2.874}, { 30.988555921538758`, -2.99}, {31.17555592153876, -3.063}, { 31.319555921538758`, -3.11}, {31.430555921538758`, -3.141}, { 31.51555592153876, -3.161}, {31.58055592153876, -3.175}, { 31.63155592153876, -3.185}, {31.80655592153876, -3.212}, { 31.923555921538757`, -3.224}, {32.033555921538756`, -3.231}, { 32.13555592153876, -3.235}, {32.23055592153876, -3.236}, { 32.63055592153876, -3.214}, {32.914555921538756`, -3.18}, { 33.12155592153876, -3.15}, {33.27355592153876, -3.126}, { 33.38655592153876, -3.108}, {33.472555921538756`, -3.095}, { 33.53755592153876, -3.085}, {33.58655592153876, -3.078}, { 33.75455592153876, -3.055}, {34.05955592153876, -3.024}, { 34.27555592153876, -3.013}, {34.433555921538755`, -3.013}, { 34.55155592153876, -3.018}, {34.64055592153876, -3.024}, { 34.70855592153876, -3.03}, {34.75955592153876, -3.036}, { 34.799555921538754`, -3.042}, {35.08355592153876, -3.094}, { 35.25755592153876, -3.139}, {35.38855592153876, -3.18}, { 35.48955592153876, -3.214}, {35.56855592153876, -3.243}, { 35.62855592153876, -3.266}, {35.67555592153876, -3.285}, { 35.71155592153876, -3.3}, {35.96855592153876, -3.412}, { 36.12655592153876, -3.485}, {36.24855592153876, -3.543}, { 36.34355592153876, -3.588}, {36.417555921538764`, -3.624}, { 36.475555921538756`, -3.651}, {36.51955592153876, -3.672}, { 36.674555921538754`, -3.745}, {36.84555592153876, -3.824}, { 36.97455592153876, -3.881}, {37.07255592153876, -3.922}, { 37.14655592153876, -3.953}, {37.201555921538755`, -3.975}, { 37.24355592153876, -3.992}, {37.42855592153876, -4.064}, { 37.531555921538754`, -4.103}, {37.600555921538756`, -4.13}, { 37.74355592153876, -4.208}, {37.73255592153876, -4.223}, { 37.701555921538755`, -4.231}, {37.662555921538754`, -4.235}, { 37.62255592153876, -4.235}, {37.585555921538756`, -4.235}, { 37.552555921538755`, -4.233}, {37.26655592153876, -4.198}, { 37.05655592153876, -4.156}, {36.85755592153876, -4.106}, { 36.67855592153876, -4.056}, {36.52255592153875, -4.008}, { 36.38955592153876, -3.965}, {36.27955592153876, -3.928}, { 36.18855592153876, -3.898}, {36.11555592153876, -3.873}, { 36.05655592153876, -3.852}, {36.00955592153876, -3.836}, { 35.97155592153876, -3.824}, {35.75355592153876, -3.75}, { 35.63255592153876, -3.71}, {35.51055592153876, -3.672}, { 35.38755592153876, -3.636}, {35.26555592153876, -3.602}, { 35.14255592153876, -3.57}, {35.01955592153876, -3.541}, { 34.89555592153876, -3.516}, {34.77255592153876, -3.494}, { 34.64955592153876, -3.476}, {34.52555592153876, -3.461}, { 34.40255592153876, -3.45}, {34.27955592153876, -3.442}, { 34.15755592153876, -3.438}, {34.03555592153876, -3.437}, { 33.91355592153876, -3.439}, {33.79255592153876, -3.444}, { 33.67255592153876, -3.45}, {33.552555921538755`, -3.458}, { 33.43455592153876, -3.468}, {33.317555921538755`, -3.478}, { 33.201555921538755`, -3.488}, {33.08755592153876, -3.498}, { 32.975555921538756`, -3.508}, {32.86455592153876, -3.517}, { 32.75655592153876, -3.524}, {32.65055592153876, -3.53}, { 32.546555921538754`, -3.535}, {32.445555921538755`, -3.537}, { 32.347555921538756`, -3.537}, {32.25255592153876, -3.536}, { 32.15955592153876, -3.533}, {31.950555921538758`, -3.517}, { 31.557555921538757`, -3.454}, {31.24255592153876, -3.367}, { 30.99555592153876, -3.276}, {30.80355592153876, -3.192}, { 30.65655592153876, -3.118}, {30.54355592153876, -3.057}, { 30.456555921538758`, -3.008}, {30.389555921538758`, -2.968}, { 30.33755592153876, -2.937}, {30.29755592153876, -2.912}, { 30.13455592153876, -2.807}, {30.05855592153876, -2.755}, { 29.71055592153876, -2.508}, {29.42555592153876, -2.3}, { 29.19855592153876, -2.142}, {29.020555921538758`, -2.038}, { 28.88255592153876, -1.983}, {28.77255592153876, -1.97}, { 28.680555921538758`, -1.992}, {28.59355592153876, -2.039}, { 28.50055592153876, -2.107}, {28.39155592153876, -2.19}, { 28.25055592153876, -2.284}, {28.06255592153876, -2.39}, { 27.80655592153876, -2.51}, {27.45255592153876, -2.654}, { 27.366555921538758`, -2.686}, {27.27555592153876, -2.72}, { 27.176555921538757`, -2.755}, {27.07055592153876, -2.791}, { 26.956555921538758`, -2.828}, {26.83355592153876, -2.866}, { 26.70155592153876, -2.903}, {26.55855592153876, -2.94}, { 26.40355592153876, -2.975}, {26.23655592153876, -3.006}, { 26.055555921538758`, -3.031}, {25.859555921538757`, -3.046}, { 25.64755592153876, -3.048}, {25.418555921538758`, -3.032}, { 25.170555921538757`, -2.992}, {24.90455592153876, -2.922}, { 24.61955592153876, -2.815}, {24.316555921538757`, -2.665}, { 23.996555921538757`, -2.469}, {23.662555921538758`, -2.224}, { 23.41055592153876, -2.017}, {23.34155592153876, -1.956}, { 23.27155592153876, -1.895}, {23.20155592153876, -1.831}, { 23.13155592153876, -1.767}, {23.06155592153876, -1.701}, { 22.991555921538758`, -1.634}, {22.921555921538758`, -1.566}, { 22.851555921538758`, -1.497}, {22.78055592153876, -1.428}, { 22.71055592153876, -1.357}, {22.64055592153876, -1.286}, { 22.57055592153876, -1.215}, {22.50155592153876, -1.143}, { 22.43155592153876, -1.072}, {22.362555921538757`, -1.}, { 22.293555921538758`, -0.928}, {22.22555592153876, -0.857}, { 22.156555921538757`, -0.785}, {22.08955592153876, -0.715}, { 22.02155592153876, -0.644}, {21.95555592153876, -0.575}, { 21.88855592153876, -0.506}, {21.82355592153876, -0.438}, { 21.758555921538758`, -0.371}, {21.69355592153876, -0.305}, { 21.54555592153876, -0.155}, {21.240555921538757`, 0.142}, { 20.95555592153876, 0.402}, {20.68955592153876, 0.623}, { 20.444555921538758`, 0.805}, {20.21955592153876, 0.952}, { 20.01355592153876, 1.067}, {19.825555921538758`, 1.154}, { 19.653555921538757`, 1.219}, {19.49755592153876, 1.264}, { 19.35555592153876, 1.293}, {19.22555592153876, 1.31}, { 19.107555921538758`, 1.317}, {18.99855592153876, 1.315}, { 18.900555921538757`, 1.308}, {18.517555921538758`, 1.216}, { 18.270555921538758`, 1.095}, {18.11155592153876, 0.976}, { 18.01255592153876, 0.869}, {17.927555921538758`, 0.663}, { 18.113555921538758`, 0.396}, {18.508555921538758`, 0.271}, { 18.59755592153876, 0.255}, {18.688555921538757`, 0.238}, { 18.78255592153876, 0.221}, {18.877555921538757`, 0.202}, { 18.97555592153876, 0.181}, {19.07455592153876, 0.156}, { 19.17555592153876, 0.128}, {19.27655592153876, 0.094}, { 19.37855592153876, 0.056}, {19.48155592153876, 0.012}, { 19.58355592153876, -0.038}, {19.68455592153876, -0.094}, { 19.78555592153876, -0.157}, {19.88455592153876, -0.225}, { 19.98155592153876, -0.299}, {20.075555921538758`, -0.379}, { 20.16655592153876, -0.463}, {20.25455592153876, -0.552}, { 20.33655592153876, -0.645}, {20.41455592153876, -0.741}, { 20.487555921538757`, -0.839}, {20.55355592153876, -0.939}, { 20.613555921538758`, -1.04}, {20.665555921538758`, -1.142}, { 20.71155592153876, -1.243}, {20.74855592153876, -1.345}, { 20.77655592153876, -1.445}, {20.796555921538758`, -1.544}, { 20.80655592153876, -1.642}, {20.80655592153876, -1.738}, { 20.79555592153876, -1.833}, {20.77455592153876, -1.926}, { 20.741555921538758`, -2.017}, {20.69555592153876, -2.107}, { 20.63755592153876, -2.195}, {20.56555592153876, -2.282}, { 20.47855592153876, -2.366}, {20.37555592153876, -2.449}, { 20.255555921538758`, -2.529}, {20.116555921538758`, -2.605}, { 19.95755592153876, -2.676}, {19.77655592153876, -2.738}, { 19.57155592153876, -2.787}, {19.34055592153876, -2.818}, { 19.081555921538758`, -2.822}, {18.793555921538758`, -2.789}, { 18.47455592153876, -2.708}, {18.124555921538757`, -2.567}, { 17.85055592153876, -2.42}, {17.773555921538758`, -2.374}, { 17.69655592153876, -2.324}, {17.61755592153876, -2.271}, { 17.53855592153876, -2.216}, {17.45755592153876, -2.158}, { 17.37655592153876, -2.096}, {17.29455592153876, -2.032}, { 17.21255592153876, -1.966}, {17.12855592153876, -1.896}, { 17.04555592153876, -1.825}, {16.96155592153876, -1.751}, { 16.87655592153876, -1.674}, {16.79155592153876, -1.596}, { 16.706555921538758`, -1.516}, {16.621555921538757`, -1.434}, { 16.53655592153876, -1.35}, {16.450555921538758`, -1.266}, { 16.365555921538757`, -1.18}, {16.28055592153876, -1.093}, { 16.19555592153876, -1.006}, {16.110555921538758`, -0.918}, { 16.02655592153876, -0.831}, {15.942555921538759`, -0.743}, { 15.859555921538758`, -0.656}, {15.776555921538758`, -0.569}, { 15.69455592153876, -0.483}, {15.612555921538759`, -0.397}, { 15.531555921538759`, -0.313}, {15.452555921538758`, -0.23}, { 15.372555921538758`, -0.149}, {15.294555921538759`, -0.069}, { 15.217555921538759`, 0.009}, {15.141555921538759`, 0.086}, { 15.06655592153876, 0.16}, {14.99255592153876, 0.232}, { 14.919555921538759`, 0.303}, {14.84755592153876, 0.371}, { 14.776555921538758`, 0.437}, {14.706555921538758`, 0.5}, { 14.637555921538759`, 0.562}, {14.310555921538759`, 0.836}, { 14.013555921538758`, 1.054}, {13.744555921538758`, 1.222}, { 13.503555921538759`, 1.348}, {13.285555921538759`, 1.438}, { 13.090555921538758`, 1.5}, {12.915555921538758`, 1.541}, { 12.75755592153876, 1.565}, {12.61455592153876, 1.577}, { 12.485555921538758`, 1.58}, {12.368555921538759`, 1.576}, { 12.261555921538758`, 1.568}, {12.16455592153876, 1.556}, { 11.86455592153876, 1.498}, {11.575555921538758`, 1.417}, { 11.375555921538758`, 1.353}, {11.231555921538758`, 1.305}, { 11.125555921538758`, 1.27}, {11.047555921538759`, 1.245}, { 10.987555921538759`, 1.227}, {10.942555921538759`, 1.214}, { 10.671555921538758`, 1.147}, {10.343555921538758`, 1.11}, { 10.038555921538759`, 1.13}, {9.746555921538759, 1.202}, { 9.459555921538758, 1.317}, {9.17555592153876, 1.466}, { 8.891555921538759, 1.638}, {8.608555921538759, 1.824}, { 8.326555921538759, 2.014}, {8.047555921538759, 2.198}, { 7.773555921538758, 2.369}, {7.505555921538759, 2.522}, { 7.2455559215387595`, 2.654}, {6.994555921538758, 2.763}, { 6.753555921538759, 2.848}, {6.522555921538759, 2.912}, { 6.303555921538759, 2.957}, {6.094555921538758, 2.986}, { 5.896555921538759, 3.001}, {5.709555921538758, 3.006}, { 5.531555921538759, 3.002}, {5.363555921538758, 2.993}, { 5.203555921538758, 2.98}, {5.051555921538759, 2.965}, { 4.9075559215387585`, 2.949}, {4.770555921538758, 2.934}, { 4.639555921538758, 2.919}, {4.514555921538758, 2.906}, { 4.394555921538759, 2.894}, {4.279555921538758, 2.886}, { 4.169555921538759, 2.879}, {4.063555921538759, 2.875}, { 3.9605559215387593`, 2.874}, {3.861555921538759, 2.875}, { 3.7665559215387585`, 2.878}, {3.674555921538758, 2.884}, { 3.2505559215387585`, 2.944}, {2.8805559215387593`, 3.039}, { 2.550555921538759, 3.152}, {2.2565559215387587`, 3.269}, { 1.990555921538757, 3.382}, {1.7525559215387574`, 3.484}, { 1.5375559215387575`, 3.574}, {1.3435559215387585`, 3.651}, { 1.1705559215387602`, 3.714}, {1.0145559215387578`, 3.766}, { 0.8755559215387585, 3.807}, {0.7505559215387585, 3.839}, { 0.6395559215387578, 3.864}, {0.4255559215387592, 3.898}, { 0.13155592153875872`, 3.906}, {0.06055592153875722, 3.72}, { 0.17155592153875787`, 3.654}, {0.30655592153875943`, 3.583}, { 0.46055592153875935`, 3.504}, {0.6255559215387585, 3.418}, { 0.7975559215387591, 3.324}, {0.9745559215387587, 3.222}, { 1.1525559215387595`, 3.115}, {1.3295559215387591`, 3.003}, { 1.5035559215387586`, 2.888}, {1.6735559215387603`, 2.771}, { 1.8385559215387595`, 2.656}, {1.9985559215387596`, 2.543}, { 2.1515559215387583`, 2.434}, {2.299555921538758, 2.331}, { 2.4395559215387586`, 2.233}, {2.57455592153876, 2.142}, { 2.7025559215387602`, 2.059}, {2.823555921538759, 1.982}, { 2.9395559215387586`, 1.913}, {3.050555921538759, 1.851}, { 3.155555921538758, 1.796}, {3.2555559215387593`, 1.748}, { 3.350555921538758, 1.706}}], LineBox[NCache[{{3.717555921538759, 1.583}, {3.586555921538759, 1.62}, { 3.4555559215387586`, 1.665}, {3.323555921538759, 1.719}, { 3.1895559215387586`, 1.781}, {3.0545559215387588`, 1.85}, { 2.9185559215387595`, 1.927}, {2.7805559215387596`, 2.01}, { 2.6415559215387603`, 2.099}, {2.5005559215387585`, 2.193}, { 2.358555921538759, 2.29}, {2.2155559215387584`, 2.39}, { 2.0725559215387577`, 2.492}, {1.9265559215387604`, 2.595}, { 1.7825559215387585`, 2.696}, {1.6395559215387578`, 2.796}, { 1.4975559215387584`, 2.893}, {1.3565559215387601`, 2.986}, { 1.2185559215387585`, 3.075}, {1.0825559215387592`, 3.159}, { 0.9505559215387578, 3.238}, {0.8225559215387577, 3.312}, { 0.6995559215387601, 3.38}, {0.5825559215387592, 3.442}, { 0.4715559215387586, 3.5}, {0.36855592153875705`, 3.553}, { 0.2745559215387594, 3.602}, {0.18955592153875855`, 3.647}, {-0.01344407846124085, 3.786}, {0.1705559215387602, 3.907}, { 0.3155559215387598, 3.906}, {0.5165559215387603, 3.885}, { 0.7865559215387599, 3.83}, {1.142555921538758, 3.723}, { 1.3435559215387585`, 3.65}, {1.4375559215387597`, 3.614}, { 1.5355559215387586`, 3.574}, {1.6395559215387578`, 3.532}, { 1.7475559215387584`, 3.486}, {1.8625559215387604`, 3.437}, { 1.9825559215387578`, 3.385}, {2.108555921538759, 3.331}, { 2.240555921538757, 3.276}, {2.37955592153876, 3.218}, { 2.5265559215387583`, 3.161}, {2.679555921538757, 3.105}, { 2.8415559215387596`, 3.051}, {3.012555921538759, 3.}, { 3.193555921538758, 2.956}, {3.3855559215387583`, 2.919}, { 3.589555921538759, 2.892}, {3.8095559215387595`, 2.876}, { 4.045555921538758, 2.875}, {4.303555921538759, 2.887}, { 4.587555921538758, 2.913}, {4.901555921538758, 2.949}, { 5.253555921538759, 2.985}, {5.650555921538759, 3.005}, { 5.973555921538759, 2.997}, {6.067555921538759, 2.989}, { 6.163555921538759, 2.978}, {6.2615559215387595`, 2.964}, { 6.361555921538759, 2.947}, {6.464555921538759, 2.926}, { 6.569555921538759, 2.901}, {6.677555921538758, 2.871}, { 6.787555921538759, 2.837}, {6.899555921538759, 2.798}, { 7.013555921538758, 2.755}, {7.129555921538758, 2.706}, { 7.248555921538758, 2.653}, {7.368555921538759, 2.594}, { 7.490555921538759, 2.53}, {7.614555921538759, 2.462}, { 7.739555921538759, 2.389}, {7.866555921538758, 2.312}, { 7.994555921538758, 2.232}, {8.123555921538758, 2.148}, { 8.253555921538759, 2.063}, {8.38355592153876, 1.975}, { 8.514555921538758, 1.887}, {8.645555921538758, 1.799}, { 8.776555921538758, 1.712}, {8.908555921538758, 1.627}, { 9.039555921538758, 1.546}, {9.171555921538758, 1.468}, { 9.30355592153876, 1.395}, {9.43455592153876, 1.329}, { 9.56655592153876, 1.269}, {9.699555921538758, 1.218}, { 9.833555921538759, 1.176}, {9.968555921538758, 1.143}, { 10.105555921538759`, 1.121}, {10.24555592153876, 1.11}, { 10.389555921538758`, 1.112}, {10.538555921538759`, 1.125}, { 10.69455592153876, 1.152}, {10.859555921538758`, 1.191}, { 11.03655592153876, 1.242}, {11.227555921538759`, 1.304}, { 11.43755592153876, 1.373}, {11.670555921538758`, 1.446}, { 11.933555921538758`, 1.514}, {12.231555921538758`, 1.564}, { 12.574555921538758`, 1.579}, {12.968555921538758`, 1.53}, { 13.172555921538759`, 1.476}, {13.264555921538758`, 1.446}, { 13.358555921538759`, 1.41}, {13.45455592153876, 1.37}, { 13.55355592153876, 1.324}, {13.65555592153876, 1.272}, { 13.758555921538758`, 1.214}, {13.865555921538759`, 1.151}, { 13.974555921538759`, 1.081}, {14.08555592153876, 1.005}, { 14.198555921538759`, 0.922}, {14.314555921538759`, 0.833}, { 14.432555921538759`, 0.738}, {14.551555921538759`, 0.637}, { 14.673555921538759`, 0.53}, {14.796555921538758`, 0.418}, { 14.920555921538758`, 0.301}, {15.046555921538758`, 0.179}, { 15.173555921538759`, 0.054}, {15.30055592153876, -0.075}, { 15.42855592153876, -0.206}, {15.557555921538759`, -0.339}, { 15.685555921538759`, -0.473}, {15.813555921538759`, -0.608}, { 15.94155592153876, -0.742}, {16.06855592153876, -0.874}, { 16.194555921538758`, -1.005}, {16.319555921538758`, -1.133}, { 16.44255592153876, -1.258}, {16.56455592153876, -1.379}, { 16.685555921538757`, -1.495}, {16.80355592153876, -1.607}, { 16.92055592153876, -1.714}, {17.034555921538757`, -1.815}, { 17.14655592153876, -1.911}, {17.255555921538758`, -2.001}, { 17.362555921538757`, -2.086}, {17.467555921538757`, -2.165}, { 17.569555921538758`, -2.238}, {17.66955592153876, -2.306}, { 17.76555592153876, -2.369}, {17.860555921538758`, -2.426}, { 17.95155592153876, -2.478}, {18.040555921538758`, -2.526}, { 18.127555921538757`, -2.569}, {18.319555921538758`, -2.653}, { 18.688555921538757`, -2.768}, {19.002555921538757`, -2.817}, { 19.27155592153876, -2.822}, {19.50055592153876, -2.799}, { 19.69655592153876, -2.76}, {19.865555921538757`, -2.71}, { 20.01055592153876, -2.654}, {20.13555592153876, -2.596}, { 20.24255592153876, -2.537}, {20.33655592153876, -2.477}, { 20.41655592153876, -2.418}, {20.48655592153876, -2.359}, { 20.66655592153876, -2.154}, {20.78255592153876, -1.894}, { 20.80655592153876, -1.655}, {20.773555921538758`, -1.43}, { 20.761555921538758`, -1.388}, {20.74555592153876, -1.337}, { 20.72255592153876, -1.272}, {20.688555921538757`, -1.191}, { 20.64055592153876, -1.091}, {20.572555921538758`, -0.97}, { 20.47855592153876, -0.826}, {20.34955592153876, -0.659}, { 20.179555921538757`, -0.476}, {19.964555921538757`, -0.285}, { 19.70255592153876, -0.104}, {19.39955592153876, 0.048}, { 19.06755592153876, 0.159}, {18.72255592153876, 0.233}, { 18.38555592153876, 0.299}, {18.09155592153876, 0.41}, { 17.930555921538758`, 0.681}, {17.93955592153876, 0.727}, { 17.96355592153876, 0.789}, {18.017555921538758`, 0.874}, { 18.13255592153876, 0.993}, {18.377555921538757`, 1.154}, { 18.57655592153876, 1.237}, {18.685555921538757`, 1.269}, { 18.81555592153876, 1.296}, {18.97155592153876, 1.314}, { 19.159555921538757`, 1.314}, {19.386555921538758`, 1.287}, { 19.66455592153876, 1.215}, {20.005555921538758`, 1.071}, { 20.18955592153876, 0.97}, {20.273555921538758`, 0.919}, { 20.360555921538758`, 0.862}, {20.45155592153876, 0.8}, { 20.546555921538758`, 0.732}, {20.64455592153876, 0.658}, { 20.746555921538757`, 0.578}, {20.85255592153876, 0.49}, { 20.96255592153876, 0.396}, {21.07655592153876, 0.294}, { 21.194555921538758`, 0.186}, {21.316555921538757`, 0.07}, { 21.44255592153876, -0.052}, {21.57155592153876, -0.181}, { 21.70455592153876, -0.316}, {21.84155592153876, -0.457}, { 21.98155592153876, -0.602}, {22.124555921538757`, -0.752}, { 22.270555921538758`, -0.905}, {22.41955592153876, -1.059}, { 22.569555921538758`, -1.214}, {22.72255592153876, -1.369}, { 22.87655592153876, -1.522}, {23.03055592153876, -1.671}, { 23.185555921538757`, -1.817}, {23.34055592153876, -1.956}, { 23.49555592153876, -2.089}, {23.64955592153876, -2.214}, { 23.801555921538757`, -2.331}, {23.95255592153876, -2.439}, { 24.101555921538758`, -2.538}, {24.24855592153876, -2.627}, { 24.39155592153876, -2.707}, {24.53255592153876, -2.776}, { 24.670555921538757`, -2.837}, {24.804555921538757`, -2.889}, { 24.935555921538757`, -2.932}, {25.06255592153876, -2.968}, { 25.228555921538756`, -3.004}, {25.27455592153876, -3.012}, { 25.331555921538758`, -3.021}, {25.40355592153876, -3.031}, { 25.493555921538757`, -3.04}, {25.60555592153876, -3.047}, { 25.741555921538758`, -3.049}, {25.90555592153876, -3.044}, { 26.10055592153876, -3.026}, {26.32655592153876, -2.99}, { 26.58055592153876, -2.935}, {26.860555921538758`, -2.858}, { 27.15455592153876, -2.763}, {27.45455592153876, -2.654}, { 27.74455592153876, -2.538}, {28.01255592153876, -2.416}, { 28.246555921538757`, -2.289}, {28.44055592153876, -2.157}, { 28.674555921538758`, -1.998}, {28.70855592153876, -1.986}, { 28.752555921538757`, -1.976}, {28.81255592153876, -1.975}, { 28.898555921538758`, -1.991}, {29.02755592153876, -2.044}, { 29.23055592153876, -2.165}, {29.55355592153876, -2.395}, { 29.58955592153876, -2.421}, {29.636555921538758`, -2.456}, { 29.69955592153876, -2.502}, {29.78255592153876, -2.563}, { 29.89455592153876, -2.642}, {30.04455592153876, -2.747}, { 30.24755592153876, -2.882}, {30.52255592153876, -3.047}, { 30.892555921538758`, -3.234}, {30.97655592153876, -3.27}, { 31.06555592153876, -3.306}, {31.158555921538756`, -3.34}, { 31.25755592153876, -3.373}, {31.359555921538757`, -3.405}, { 31.46655592153876, -3.433}, {31.578555921538758`, -3.46}, { 31.73955592153876, -3.49}, {31.78455592153876, -3.497}, { 31.84255592153876, -3.506}, {31.91655592153876, -3.515}, { 32.01055592153876, -3.524}, {32.12855592153876, -3.532}, { 32.27755592153876, -3.538}, {32.46255592153876, -3.538}, { 32.689555921538755`, -3.53}, {32.96455592153876, -3.511}, { 33.28855592153876, -3.482}, {33.66355592153876, -3.453}, { 33.826555921538755`, -3.445}, {33.87055592153876, -3.443}, { 33.927555921538755`, -3.441}, {33.99755592153876, -3.44}, { 34.085555921538756`, -3.44}, {34.195555921538755`, -3.442}, { 34.329555921538756`, -3.448}, {34.49255592153876, -3.461}, { 34.68855592153876, -3.484}, {34.921555921538754`, -3.524}, { 35.156555921538754`, -3.577}, {35.19755592153876, -3.588}, { 35.24955592153876, -3.601}, {35.314555921538755`, -3.619}, { 35.39555592153876, -3.642}, {35.49555592153876, -3.672}, { 35.61855592153876, -3.71}, {35.76855592153876, -3.76}, { 35.94755592153876, -3.82}, {36.11455592153876, -3.878}, { 36.159555921538754`, -3.893}, {36.21555592153876, -3.913}, { 36.28655592153876, -3.937}, {36.37355592153876, -3.966}, { 36.48055592153876, -4.001}, {36.60955592153876, -4.043}, { 36.80755592153876, -4.101}, {36.847555921538756`, -4.113}, { 36.89755592153875, -4.126}, {36.95955592153876, -4.142}, { 37.03555592153876, -4.161}, {37.12655592153876, -4.182}, { 37.335555921538756`, -4.223}, {37.37255592153876, -4.229}, { 37.41655592153876, -4.236}, {37.47055592153876, -4.243}, { 37.53355592153876, -4.251}, {37.72455592153876, -4.264}, { 37.75755592153876, -4.265}, {37.795555921538764`, -4.265}, { 37.923555921538764`, -4.243}, {37.74055592153876, -4.144}, { 37.57555592153876, -4.088}, {37.52155592153876, -4.069}, { 37.341555921538756`, -4.005}, {37.302555921538755`, -3.99}, { 37.25055592153876, -3.97}, {37.18155592153876, -3.943}, { 36.99355592153876, -3.866}, {36.95555592153876, -3.85}, { 36.90755592153876, -3.828}, {36.84355592153876, -3.8}, { 36.76155592153876, -3.763}, {36.56955592153876, -3.674}, { 36.53355592153876, -3.657}, {36.48755592153876, -3.635}, { 36.42855592153876, -3.607}, {36.35255592153876, -3.57}, { 36.25455592153876, -3.523}, {36.070555921538755`, -3.436}, { 36.028555921538754`, -3.416}, {35.975555921538756`, -3.392}, { 35.906555921538754`, -3.361}, {35.81855592153876, -3.322}, { 35.704555921538756`, -3.274}, {35.546555921538754`, -3.212}, { 35.50155592153876, -3.196}, {35.442555921538755`, -3.175}, { 35.36755592153876, -3.15}, {35.26855592153876, -3.12}, { 35.14055592153876, -3.086}, {34.972555921538756`, -3.049}, { 34.92255592153876, -3.04}, {34.85855592153876, -3.029}, { 34.77555592153876, -3.018}, {34.664555921538756`, -3.006}, { 34.51555592153876, -2.997}, {34.29755592153876, -2.995}, { 34.25155592153876, -2.996}, {34.19055592153876, -2.998}, { 34.11055592153876, -3.003}, {34.00455592153876, -3.011}, { 33.86155592153876, -3.026}, {33.664555921538756`, -3.052}, { 33.35355592153876, -3.1}, {33.31355592153876, -3.107}, { 33.26055592153876, -3.115}, {33.19055592153876, -3.127}, { 33.097555921538756`, -3.141}, {32.975555921538756`, -3.16}, { 32.80955592153876, -3.183}, {32.58355592153876, -3.208}, { 32.26955592153876, -3.225}, {31.96155592153876, -3.217}, { 31.77755592153876, -3.199}, {31.73355592153876, -3.193}, { 31.676555921538757`, -3.184}, {31.60255592153876, -3.17}, { 31.505555921538758`, -3.15}, {31.37855592153876, -3.118}, { 31.21155592153876, -3.067}, {30.991555921538758`, -2.983}, { 30.70255592153876, -2.845}, {30.43355592153876, -2.688}, { 30.353555921538756`, -2.636}, {30.26955592153876, -2.579}, { 30.180555921538758`, -2.517}, {30.08755592153876, -2.448}, { 29.988555921538758`, -2.373}, {29.886555921538758`, -2.291}, { 29.77955592153876, -2.202}, {29.667555921538757`, -2.106}, { 29.55055592153876, -2.003}, {29.424555921538758`, -1.888}, { 29.389555921538758`, -1.855}, {29.344555921538756`, -1.812}, { 29.286555921538756`, -1.757}, {29.21255592153876, -1.686}, { 29.12055592153876, -1.597}, {29.00155592153876, -1.479}, { 28.85255592153876, -1.328}, {28.667555921538757`, -1.139}, { 28.441555921538757`, -0.907}, {28.16955592153876, -0.629}, { 27.94255592153876, -0.401}, {27.87955592153876, -0.338}, { 27.813555921538757`, -0.275}, {27.74755592153876, -0.211}, { 27.679555921538757`, -0.147}, {27.610555921538758`, -0.083}, { 27.54055592153876, -0.019}, {27.38455592153876, 0.119}, { 27.35455592153876, 0.145}, {27.316555921538757`, 0.177}, { 27.26955592153876, 0.216}, {27.21155592153876, 0.263}, { 27.139555921538758`, 0.319}, {27.05355592153876, 0.385}, { 26.950555921538758`, 0.459}, {26.83055592153876, 0.539}, { 26.69555592153876, 0.62}, {26.549555921538758`, 0.695}, { 26.34955592153876, 0.772}, {26.31555592153876, 0.781}, { 26.27455592153876, 0.79}, {26.229555921538758`, 0.798}, { 26.180555921538758`, 0.801}, {26.13255592153876, 0.798}, { 26.21355592153876, 0.505}, {26.34055592153876, 0.395}, { 26.47755592153876, 0.286}, {26.72055592153876, 0.106}, { 26.85455592153876, 0}, {26.987555921538757`, -0.117}, { 27.113555921538758`, -0.242}, {27.14355592153876, -0.274}, { 27.26055592153876, -0.409}, {27.286555921538756`, -0.442}, { 27.32055592153876, -0.486}, {27.42855592153876, -0.636}, { 27.45555592153876, -0.676}, {27.488555921538758`, -0.729}, { 27.57955592153876, -0.883}, {27.60155592153876, -0.922}, { 27.627555921538757`, -0.974}, {27.65955592153876, -1.042}, { 27.72355592153876, -1.194}, {27.73955592153876, -1.238}, { 27.75755592153876, -1.296}, {27.77855592153876, -1.372}, { 27.807555921538757`, -1.538}, {27.81155592153876, -1.586}, { 27.81255592153876, -1.647}, {27.807555921538757`, -1.727}, { 27.77155592153876, -1.887}, {27.75455592153876, -1.933}, { 27.725555921538756`, -1.992}, {27.679555921538757`, -2.069}, { 27.549555921538758`, -2.223}, {27.511555921538758`, -2.259}, { 27.456555921538758`, -2.306}, {27.37655592153876, -2.368}, { 27.255555921538758`, -2.451}, {27.01355592153876, -2.587}, { 26.97455592153876, -2.606}, {26.923555921538757`, -2.63}, { 26.85255592153876, -2.662}, {26.75455592153876, -2.704}, { 26.615555921538757`, -2.758}, {26.40855592153876, -2.825}, { 26.08955592153876, -2.901}, {25.880555921538758`, -2.931}, { 25.77655592153876, -2.939}, {25.66055592153876, -2.944}, { 25.53255592153876, -2.943}, {25.33055592153876, -2.929}, { 25.28355592153876, -2.923}, {25.223555921538757`, -2.914}, { 25.142555921538758`, -2.9}, {25.03555592153876, -2.876}, { 24.89055592153876, -2.837}, {24.69255592153876, -2.769}, { 24.418555921538758`, -2.648}, {24.148555921538758`, -2.499}, { 24.06455592153876, -2.447}, {23.97555592153876, -2.388}, { 23.87955592153876, -2.322}, {23.77655592153876, -2.247}, { 23.665555921538758`, -2.163}, {23.546555921538758`, -2.069}, { 23.41955592153876, -1.962}, {23.28355592153876, -1.844}, { 23.13755592153876, -1.711}, {22.981555921538757`, -1.564}, { 22.81555592153876, -1.401}, {22.63755592153876, -1.223}, { 22.44955592153876, -1.03}, {22.25055592153876, -0.822}, { 22.040555921538758`, -0.602}, {21.819555921538758`, -0.372}, { 21.59055592153876, -0.136}, {21.35355592153876, 0.102}, { 21.10855592153876, 0.336}, {20.85855592153876, 0.56}, { 20.60555592153876, 0.767}, {20.351555921538758`, 0.954}, { 20.13255592153876, 1.095}, {20.095555921538757`, 1.117}, { 20.04755592153876, 1.144}, {19.987555921538757`, 1.177}, { 19.91055592153876, 1.217}, {19.81455592153876, 1.263}, { 19.69655592153876, 1.314}, {19.54855592153876, 1.368}, { 19.368555921538757`, 1.42}, {19.15255592153876, 1.461}, { 18.898555921538758`, 1.48}, {18.607555921538758`, 1.463}, { 18.28255592153876, 1.398}, {17.930555921538758`, 1.284}, { 17.557555921538757`, 1.129}, {17.16455592153876, 0.965}, { 16.87855592153876, 0.872}, {16.84955592153876, 0.865}, { 16.83255592153876, 0.862}, {16.55655592153876, 0.821}, { 16.241555921538758`, 0.839}, {15.997555921538758`, 0.899}, { 15.80655592153876, 0.97}, {15.656555921538759`, 1.039}, { 15.53755592153876, 1.099}, {15.445555921538759`, 1.15}, { 15.372555921538758`, 1.192}, {15.31555592153876, 1.226}, { 15.27155592153876, 1.252}, {15.23655592153876, 1.273}, { 14.887555921538759`, 1.496}, {14.608555921538759`, 1.677}, { 14.392555921538758`, 1.813}, {14.227555921538759`, 1.912}, { 14.10055592153876, 1.984}, {14.003555921538759`, 2.037}, { 13.92855592153876, 2.076}, {13.871555921538759`, 2.104}, { 13.827555921538758`, 2.125}, {13.67555592153876, 2.193}, { 13.392555921538758`, 2.297}, {13.194555921538758`, 2.349}, { 13.054555921538759`, 2.374}, {12.955555921538759`, 2.385}, { 12.883555921538758`, 2.389}, {12.831555921538758`, 2.389}, { 12.62055592153876, 2.369}, {12.50755592153876, 2.341}, { 12.429555921538759`, 2.315}, {12.368555921538759`, 2.293}, { 12.317555921538759`, 2.276}, {12.273555921538758`, 2.262}, { 12.235555921538758`, 2.252}, {12.203555921538758`, 2.244}, { 11.871555921538759`, 2.182}, {11.53955592153876, 2.127}, { 11.19055592153876, 2.072}, {10.86155592153876, 2.034}, { 10.57255592153876, 2.024}, {10.328555921538758`, 2.041}, { 10.128555921538759`, 2.074}, {9.967555921538759, 2.116}, { 9.840555921538758, 2.157}, {9.740555921538759, 2.196}, { 9.663555921538759, 2.229}, {9.602555921538759, 2.258}, { 9.55655592153876, 2.281}, {9.520555921538758, 2.3}, { 9.283555921538758, 2.44}, {9.137555921538759, 2.545}, { 9.025555921538759, 2.642}, {8.958555921538759, 2.796}, { 9.044555921538759, 2.815}, {9.219555921538758, 2.803}, { 9.503555921538759, 2.771}, {9.797555921538759, 2.748}, { 9.892555921538758, 2.745}, {9.99555592153876, 2.744}, { 10.105555921538759`, 2.745}, {10.224555921538759`, 2.75}, { 10.352555921538759`, 2.759}, {10.491555921538758`, 2.771}, { 10.641555921538759`, 2.789}, {10.805555921538758`, 2.811}, { 10.984555921538758`, 2.837}, {11.179555921538759`, 2.866}, { 11.39355592153876, 2.896}, {11.62955592153876, 2.923}, { 11.890555921538759`, 2.941}, {12.17855592153876, 2.944}, { 12.497555921538758`, 2.919}, {12.849555921538759`, 2.853}, { 13.234555921538758`, 2.735}, {13.424555921538758`, 2.658}, { 13.508555921538758`, 2.621}, {13.593555921538758`, 2.581}, { 13.679555921538759`, 2.538}, {13.766555921538759`, 2.493}, { 13.855555921538759`, 2.445}, {13.944555921538758`, 2.395}, { 14.034555921538757`, 2.342}, {14.125555921538758`, 2.288}, { 14.217555921538759`, 2.231}, {14.310555921538759`, 2.172}, { 14.404555921538758`, 2.111}, {14.49855592153876, 2.05}, { 14.593555921538758`, 1.986}, {14.688555921538759`, 1.923}, { 14.784555921538757`, 1.858}, {14.88055592153876, 1.794}, { 14.976555921538758`, 1.73}, {15.073555921538759`, 1.666}, { 15.170555921538758`, 1.604}, {15.267555921538758`, 1.543}, { 15.36455592153876, 1.483}, {15.461555921538759`, 1.427}, { 15.55955592153876, 1.372}, {15.656555921538759`, 1.322}, { 15.75555592153876, 1.274}, {15.853555921538758`, 1.231}, { 15.952555921538758`, 1.192}, {16.051555921538757`, 1.158}, { 16.15255592153876, 1.13}, {16.25355592153876, 1.107}, { 16.35655592153876, 1.09}, {16.46055592153876, 1.079}, { 16.56755592153876, 1.075}, {16.676555921538757`, 1.079}, { 16.78855592153876, 1.089}, {16.90555592153876, 1.107}, { 17.02655592153876, 1.133}, {17.153555921538757`, 1.166}, { 17.28355592153876, 1.204}, {17.426555921538757`, 1.251}, { 17.57955592153876, 1.303}, {17.74455592153876, 1.359}, { 17.924555921538758`, 1.417}, {18.12255592153876, 1.474}, { 18.34055592153876, 1.523}, {18.58355592153876, 1.557}, { 6 Pi, 1.566}, {19.153555921538757`, 1.537}, {19.493555921538757`, 1.454}, {19.87255592153876, 1.297}, {19.95255592153876, 1.255}, { 20.034555921538757`, 1.21}, {20.118555921538757`, 1.16}, { 20.203555921538758`, 1.107}, {20.290555921538758`, 1.05}, { 20.37855592153876, 0.989}, {20.46855592153876, 0.924}, { 20.560555921538757`, 0.855}, {20.65255592153876, 0.781}, { 20.746555921538757`, 0.704}, {20.84155592153876, 0.624}, { 20.93755592153876, 0.539}, {21.03555592153876, 0.451}, { 21.133555921538758`, 0.36}, {21.232555921538758`, 0.266}, { 21.33255592153876, 0.169}, {21.43355592153876, 0.069}, { 21.53555592153876, -0.033}, {21.636555921538758`, -0.136}, { 21.738555921538758`, -0.241}, {21.84155592153876, -0.348}, { 21.94355592153876, -0.455}, {22.04555592153876, -0.562}, { 22.148555921538758`, -0.669}, {22.249555921538757`, -0.776}, { 22.351555921538758`, -0.882}, {22.45255592153876, -0.986}, { 22.552555921538758`, -1.09}, {22.65255592153876, -1.191}, { 22.75055592153876, -1.29}, {22.848555921538757`, -1.386}, { 22.944555921538758`, -1.48}, {23.040555921538758`, -1.571}, { 23.13455592153876, -1.659}, {23.22755592153876, -1.744}, { 23.319555921538758`, -1.825}, {23.409555921538757`, -1.903}, { 23.49855592153876, -1.977}, {23.58555592153876, -2.047}, { 23.670555921538757`, -2.114}, {23.75455592153876, -2.177}, { 23.83755592153876, -2.237}, {23.918555921538758`, -2.293}, { 23.99755592153876, -2.345}, {24.273555921538758`, -2.51}, { 24.615555921538757`, -2.669}, {24.917555921538757`, -2.768}, { 25.185555921538757`, -2.821}, {25.421555921538758`, -2.841}, { 25.62955592153876, -2.837}, {25.813555921538757`, -2.817}, { 25.976555921538758`, -2.786}, {26.12055592153876, -2.747}, { 26.24855592153876, -2.705}, {26.362555921538757`, -2.66}, { 26.46455592153876, -2.612}, {26.555555921538758`, -2.565}, { 26.810555921538757`, -2.393}, {27.02455592153876, -2.171}, { 27.136555921538758`, -1.966}, {27.18455592153876, -1.774}, { 27.18955592153876, -1.592}, {27.16355592153876, -1.42}, { 27.116555921538758`, -1.258}, {27.054555921538757`, -1.104}, { 26.982555921538758`, -0.96}, {26.90355592153876, -0.826}, { 26.82055592153876, -0.7}, {26.734555921538757`, -0.584}, { 26.64755592153876, -0.477}, {26.56155592153876, -0.379}, { 26.47555592153876, -0.288}, {26.39155592153876, -0.206}, { 26.30955592153876, -0.13}, {26.229555921538758`, -0.062}, { 26.15255592153876, 0.001}, {25.982555921538758`, 0.126}, { 25.668555921538758`, 0.321}, {25.423555921538757`, 0.455}, { 25.23955592153876, 0.559}, {25.11155592153876, 0.653}, { 25.03655592153876, 0.746}, {25.01255592153876, 0.84}, { 25.04455592153876, 0.935}, {25.13755592153876, 1.027}, { 25.30055592153876, 1.103}, {25.549555921538758`, 1.143}, { 25.90455592153876, 1.106}, {25.98955592153876, 1.084}, { 26.08055592153876, 1.056}, {26.176555921538757`, 1.02}, { 26.27855592153876, 0.977}, {26.386555921538758`, 0.925}, { 26.50055592153876, 0.864}, {26.621555921538757`, 0.793}, { 26.74855592153876, 0.71}, {26.88155592153876, 0.616}, { 27.02155592153876, 0.51}, {27.16855592153876, 0.392}, { 27.32155592153876, 0.261}, {27.48055592153876, 0.118}, { 27.645555921538758`, -0.037}, {27.81555592153876, -0.203}, { 27.991555921538758`, -0.378}, {28.170555921538757`, -0.562}, { 28.35455592153876, -0.752}, {28.54055592153876, -0.946}, { 28.72955592153876, -1.141}, {28.91855592153876, -1.336}, { 29.109555921538757`, -1.526}, {29.298555921538757`, -1.711}, { 29.48655592153876, -1.887}, {29.67255592153876, -2.054}, { 29.85555592153876, -2.208}, {30.03555592153876, -2.351}, { 30.21055592153876, -2.48}, {30.38155592153876, -2.595}, { 30.54755592153876, -2.697}, {30.70755592153876, -2.786}, { 30.862555921538757`, -2.862}, {31.011555921538758`, -2.927}, { 31.155555921538756`, -2.981}, {31.292555921538757`, -3.025}, { 31.42555592153876, -3.061}, {31.552555921538758`, -3.088}, { 31.674555921538758`, -3.109}, {31.79055592153876, -3.124}, { 31.90255592153876, -3.134}, {32.00855592153876, -3.139}, { 32.11155592153876, -3.141}, {32.20955592153876, -3.14}, { 32.302555921538755`, -3.136}, {32.71755592153876, -3.091}, { 33.055555921538755`, -3.03}, {33.33455592153876, -2.97}, { 33.567555921538755`, -2.918}, {33.76455592153876, -2.875}, { 33.93455592153876, -2.841}, {34.08155592153876, -2.815}, { 34.21155592153876, -2.794}, {34.32555592153876, -2.779}, { 34.427555921538755`, -2.767}, {34.73255592153876, -2.751}, { 35.02055592153876, -2.765}, {35.222555921538756`, -2.795}, { 35.37355592153876, -2.831}, {35.48855592153876, -2.865}, { 35.57855592153876, -2.896}, {35.64855592153876, -2.922}, { 35.70355592153876, -2.944}, {35.74655592153876, -2.962}, { 35.90055592153875, -3.031}, {36.04155592153876, -3.099}, { 36.18455592153876, -3.171}, {36.33355592153876, -3.248}, { 36.48555592153876, -3.326}, {36.64355592153876, -3.406}, { 36.80455592153876, -3.484}, {36.97055592153876, -3.56}, { 37.13955592153876, -3.631}, {37.311555921538755`, -3.697}, { 37.48555592153876, -3.756}, {37.66055592153876, -3.808}, { 37.835555921538756`, -3.851}, {38.01055592153876, -3.887}, { 38.183555921538755`, -3.914}, {38.35455592153876, -3.935}, { 38.52155592153876, -3.95}, {38.686555921538755`, -3.959}, { 38.847555921538756`, -3.964}, {39.00355592153876, -3.967}, { 39.15555592153876, -3.968}, {39.302555921538755`, -3.968}, { 39.445555921538755`, -3.968}, {39.58355592153876, -3.968}, { 39.71755592153876, -3.97}, {39.84555592153876, -3.974}, { 39.97055592153876, -3.98}, {40.08955592153876, -3.987}, { 40.20555592153876, -3.997}, {40.31655592153876, -4.01}, { 40.423555921538764`, -4.024}, {40.52655592153876, -4.041}, { 40.62555592153876, -4.059}, {40.72055592153876, -4.079}, { 40.811555921538755`, -4.101}, {41.21155592153876, -4.223}, { 41.51355592153876, -4.347}, {41.713555921538756`, -4.45}, { 41.70955592153876, -4.542}, {41.46555592153876, -4.504}, { 41.177555921538755`, -4.455}, {41.08055592153876, -4.44}, { 40.97655592153876, -4.425}, {40.86355592153876, -4.412}, { 40.74255592153876, -4.399}, {40.61155592153876, -4.389}, { 40.47055592153876, -4.381}, {40.31955592153876, -4.377}, { 40.156555921538754`, -4.377}, {39.98355592153876, -4.381}, { 39.79755592153876, -4.389}, {39.59855592153876, -4.401}, { 39.38555592153876, -4.417}, {39.15755592153876, -4.434}, { 38.91455592153876, -4.45}, {38.65555592153876, -4.461}, { 38.37955592153876, -4.464}, {38.08655592153876, -4.453}, { 37.77655592153876, -4.422}, {37.448555921538755`, -4.368}, { 37.10155592153876, -4.287}, {36.73355592153876, -4.177}, { 36.34355592153876, -4.042}, {36.03955592153876, -3.931}, { 35.954555921538756`, -3.9}, {35.86755592153876, -3.868}, { 35.778555921538754`, -3.836}, {35.689555921538755`, -3.805}, { 35.597555921538756`, -3.773}, {35.50355592153876, -3.742}, { 35.40855592153876, -3.711}, {35.311555921538755`, -3.682}, { 35.21155592153876, -3.653}, {35.11055592153876, -3.626}, { 35.00655592153876, -3.6}, {34.90055592153875, -3.576}, { 34.79155592153876, -3.555}, {34.67955592153876, -3.535}, { 34.56355592153876, -3.519}, {34.44455592153876, -3.505}, { 34.32255592153876, -3.494}, {34.195555921538755`, -3.487}, { 34.064555921538755`, -3.483}, {33.92955592153876, -3.483}, { 33.78855592153876, -3.486}, {33.64355592153876, -3.492}, { 33.49155592153876, -3.502}, {33.33455592153876, -3.513}, { 33.171555921538754`, -3.526}, {33.00255592153876, -3.54}, { 32.826555921538755`, -3.552}, {32.64555592153876, -3.562}, { 32.457555921538756`, -3.567}, {32.26355592153876, -3.565}, { 32.064555921538755`, -3.555}, {31.86155592153876, -3.534}, { 31.655555921538756`, -3.501}, {31.44655592153876, -3.454}, { 31.238555921538758`, -3.393}, {31.030555921538756`, -3.317}, { 30.82655592153876, -3.229}, {30.62655592153876, -3.13}, { 30.43355592153876, -3.023}, {30.24755592153876, -2.91}, { 30.07155592153876, -2.796}, {29.905555921538756`, -2.682}, { 29.75055592153876, -2.573}, {29.607555921538758`, -2.471}, { 29.475555921538756`, -2.378}, {29.35555592153876, -2.295}, { 29.246555921538757`, -2.225}, {29.148555921538758`, -2.166}, { 28.95555592153876, -2.079}, {28.64055592153876, -2.103}, { 28.482555921538758`, -2.193}, {28.39955592153876, -2.244}, { 28.299555921538758`, -2.301}, {28.17555592153876, -2.366}, { 28.02155592153876, -2.44}, {27.82455592153876, -2.525}, { 27.56755592153876, -2.626}, {27.23355592153876, -2.748}, { 27.036555921538756`, -2.813}, {26.94255592153876, -2.843}, { 26.84255592153876, -2.873}, {26.734555921538757`, -2.903}, { 26.62055592153876, -2.933}, {26.496555921538757`, -2.962}, { 26.36455592153876, -2.99}, {26.22255592153876, -3.015}, { 26.07055592153876, -3.035}, {25.90555592153876, -3.049}, { 25.728555921538756`, -3.055}, {25.53855592153876, -3.048}, { 25.33355592153876, -3.026}, {25.112555921538757`, -2.984}, { 24.87655592153876, -2.917}, {24.62355592153876, -2.821}, { 24.35555592153876, -2.69}, {24.07155592153876, -2.522}, { 23.77455592153876, -2.314}, {23.46555592153876, -2.067}, { 23.14755592153876, -1.784}, {22.91055592153876, -1.558}, { 22.845555921538757`, -1.495}, {22.78055592153876, -1.43}, { 22.71555592153876, -1.365}, {22.65055592153876, -1.299}, { 22.58555592153876, -1.233}, {22.520555921538758`, -1.167}, { 22.45555592153876, -1.1}, {22.39155592153876, -1.033}, { 22.32655592153876, -0.966}, {22.26255592153876, -0.899}, { 22.19855592153876, -0.832}, {22.13455592153876, -0.765}, { 22.07155592153876, -0.699}, {22.008555921538758`, -0.633}, { 21.94555592153876, -0.567}, {21.63755592153876, -0.251}, { 21.342555921538757`, 0.042}, {21.06155592153876, 0.305}, { 20.79755592153876, 0.532}, {20.55055592153876, 0.725}, { 20.32155592153876, 0.884}, {20.10955592153876, 1.011}, { 19.91355592153876, 1.11}, {19.73455592153876, 1.185}, { 19.569555921538758`, 1.239}, {19.418555921538758`, 1.275}, { 19.28055592153876, 1.297}, {19.153555921538757`, 1.307}, { 19.03855592153876, 1.308}, {18.932555921538757`, 1.302}, { 18.834555921538758`, 1.289}, {18.459555921538758`, 1.177}, { 18.21955592153876, 1.037}, {18.07355592153876, 0.9}, { 17.996555921538757`, 0.777}, {17.973555921538757`, 0.667}, { 17.99455592153876, 0.571}, {18.05355592153876, 0.488}, { 18.148555921538758`, 0.418}, {18.275555921538757`, 0.36}, { 18.43655592153876, 0.312}, {18.633555921538758`, 0.269}, { 18.87055592153876, 0.221}, {19.15555592153876, 0.148}, { 19.49555592153876, 0.018}, {19.674555921538758`, -0.077}, { 19.755555921538758`, -0.126}, {19.83855592153876, -0.182}, { 19.92355592153876, -0.244}, {20.01055592153876, -0.313}, { 20.09955592153876, -0.389}, {20.188555921538757`, -0.474}, { 20.27755592153876, -0.568}, {20.366555921538758`, -0.67}, { 20.45455592153876, -0.782}, {20.53855592153876, -0.904}, { 20.616555921538758`, -1.034}, {20.68755592153876, -1.175}, { 20.74755592153876, -1.324}, {20.790555921538758`, -1.484}, { 20.81155592153876, -1.652}, {20.80055592153876, -1.83}, { 20.74455592153876, -2.02}, {20.621555921538757`, -2.221}, { 20.395555921538758`, -2.437}, {20.238555921538758`, -2.542}, { 20.15755592153876, -2.587}, {20.066555921538757`, -2.631}, { 19.96555592153876, -2.674}, {19.85255592153876, -2.716}, { 19.726555921538758`, -2.753}, {19.58355592153876, -2.786}, { 19.424555921538758`, -2.811}, {19.24455592153876, -2.824}, { 19.04155592153876, -2.82}, {18.813555921538757`, -2.793}, { 18.55655592153876, -2.734}, {18.26655592153876, -2.632}, { 17.941555921538757`, -2.473}, {17.680555921538758`, -2.314}, { 17.60555592153876, -2.264}, {17.52955592153876, -2.21}, { 17.45155592153876, -2.154}, {17.37255592153876, -2.094}, { 17.29255592153876, -2.031}, {17.21055592153876, -1.965}, { 17.12655592153876, -1.895}, {17.04255592153876, -1.822}, { 16.956555921538758`, -1.746}, {16.868555921538757`, -1.667}, { 16.78055592153876, -1.586}, {16.69055592153876, -1.501}, { 16.60055592153876, -1.413}, {16.50655592153876, -1.322}, { 16.41455592153876, -1.229}, {16.32055592153876, -1.135}, { 16.226555921538758`, -1.038}, {16.13155592153876, -0.94}, { 16.03555592153876, -0.841}, {15.939555921538759`, -0.74}, { 15.843555921538758`, -0.639}, {15.746555921538759`, -0.538}, { 15.64955592153876, -0.436}, {15.552555921538758`, -0.335}, { 15.455555921538759`, -0.234}, {15.358555921538759`, -0.134}, { 15.261555921538758`, -0.036}, {15.165555921538758`, 0.061}, { 15.06955592153876, 0.156}, {14.974555921538759`, 0.249}, { 14.88055592153876, 0.339}, {14.78655592153876, 0.427}}, {{ 3.717555921538759, 1.583}, {3.586555921538759, 1.62}, { 3.4555559215387586`, 1.665}, {3.323555921538759, 1.719}, { 3.1895559215387586`, 1.781}, {3.0545559215387588`, 1.85}, { 2.9185559215387595`, 1.927}, {2.7805559215387596`, 2.01}, { 2.6415559215387603`, 2.099}, {2.5005559215387585`, 2.193}, { 2.358555921538759, 2.29}, {2.2155559215387584`, 2.39}, { 2.0725559215387577`, 2.492}, {1.9265559215387604`, 2.595}, { 1.7825559215387585`, 2.696}, {1.6395559215387578`, 2.796}, { 1.4975559215387584`, 2.893}, {1.3565559215387601`, 2.986}, { 1.2185559215387585`, 3.075}, {1.0825559215387592`, 3.159}, { 0.9505559215387578, 3.238}, {0.8225559215387577, 3.312}, { 0.6995559215387601, 3.38}, {0.5825559215387592, 3.442}, { 0.4715559215387586, 3.5}, {0.36855592153875705`, 3.553}, { 0.2745559215387594, 3.602}, {0.18955592153875855`, 3.647}, {-0.01344407846124085, 3.786}, {0.1705559215387602, 3.907}, { 0.3155559215387598, 3.906}, {0.5165559215387603, 3.885}, { 0.7865559215387599, 3.83}, {1.142555921538758, 3.723}, { 1.3435559215387585`, 3.65}, {1.4375559215387597`, 3.614}, { 1.5355559215387586`, 3.574}, {1.6395559215387578`, 3.532}, { 1.7475559215387584`, 3.486}, {1.8625559215387604`, 3.437}, { 1.9825559215387578`, 3.385}, {2.108555921538759, 3.331}, { 2.240555921538757, 3.276}, {2.37955592153876, 3.218}, { 2.5265559215387583`, 3.161}, {2.679555921538757, 3.105}, { 2.8415559215387596`, 3.051}, {3.012555921538759, 3.}, { 3.193555921538758, 2.956}, {3.3855559215387583`, 2.919}, { 3.589555921538759, 2.892}, {3.8095559215387595`, 2.876}, { 4.045555921538758, 2.875}, {4.303555921538759, 2.887}, { 4.587555921538758, 2.913}, {4.901555921538758, 2.949}, { 5.253555921538759, 2.985}, {5.650555921538759, 3.005}, { 5.973555921538759, 2.997}, {6.067555921538759, 2.989}, { 6.163555921538759, 2.978}, {6.2615559215387595`, 2.964}, { 6.361555921538759, 2.947}, {6.464555921538759, 2.926}, { 6.569555921538759, 2.901}, {6.677555921538758, 2.871}, { 6.787555921538759, 2.837}, {6.899555921538759, 2.798}, { 7.013555921538758, 2.755}, {7.129555921538758, 2.706}, { 7.248555921538758, 2.653}, {7.368555921538759, 2.594}, { 7.490555921538759, 2.53}, {7.614555921538759, 2.462}, { 7.739555921538759, 2.389}, {7.866555921538758, 2.312}, { 7.994555921538758, 2.232}, {8.123555921538758, 2.148}, { 8.253555921538759, 2.063}, {8.38355592153876, 1.975}, { 8.514555921538758, 1.887}, {8.645555921538758, 1.799}, { 8.776555921538758, 1.712}, {8.908555921538758, 1.627}, { 9.039555921538758, 1.546}, {9.171555921538758, 1.468}, { 9.30355592153876, 1.395}, {9.43455592153876, 1.329}, { 9.56655592153876, 1.269}, {9.699555921538758, 1.218}, { 9.833555921538759, 1.176}, {9.968555921538758, 1.143}, { 10.105555921538759`, 1.121}, {10.24555592153876, 1.11}, { 10.389555921538758`, 1.112}, {10.538555921538759`, 1.125}, { 10.69455592153876, 1.152}, {10.859555921538758`, 1.191}, { 11.03655592153876, 1.242}, {11.227555921538759`, 1.304}, { 11.43755592153876, 1.373}, {11.670555921538758`, 1.446}, { 11.933555921538758`, 1.514}, {12.231555921538758`, 1.564}, { 12.574555921538758`, 1.579}, {12.968555921538758`, 1.53}, { 13.172555921538759`, 1.476}, {13.264555921538758`, 1.446}, { 13.358555921538759`, 1.41}, {13.45455592153876, 1.37}, { 13.55355592153876, 1.324}, {13.65555592153876, 1.272}, { 13.758555921538758`, 1.214}, {13.865555921538759`, 1.151}, { 13.974555921538759`, 1.081}, {14.08555592153876, 1.005}, { 14.198555921538759`, 0.922}, {14.314555921538759`, 0.833}, { 14.432555921538759`, 0.738}, {14.551555921538759`, 0.637}, { 14.673555921538759`, 0.53}, {14.796555921538758`, 0.418}, { 14.920555921538758`, 0.301}, {15.046555921538758`, 0.179}, { 15.173555921538759`, 0.054}, {15.30055592153876, -0.075}, { 15.42855592153876, -0.206}, {15.557555921538759`, -0.339}, { 15.685555921538759`, -0.473}, {15.813555921538759`, -0.608}, { 15.94155592153876, -0.742}, {16.06855592153876, -0.874}, { 16.194555921538758`, -1.005}, {16.319555921538758`, -1.133}, { 16.44255592153876, -1.258}, {16.56455592153876, -1.379}, { 16.685555921538757`, -1.495}, {16.80355592153876, -1.607}, { 16.92055592153876, -1.714}, {17.034555921538757`, -1.815}, { 17.14655592153876, -1.911}, {17.255555921538758`, -2.001}, { 17.362555921538757`, -2.086}, {17.467555921538757`, -2.165}, { 17.569555921538758`, -2.238}, {17.66955592153876, -2.306}, { 17.76555592153876, -2.369}, {17.860555921538758`, -2.426}, { 17.95155592153876, -2.478}, {18.040555921538758`, -2.526}, { 18.127555921538757`, -2.569}, {18.319555921538758`, -2.653}, { 18.688555921538757`, -2.768}, {19.002555921538757`, -2.817}, { 19.27155592153876, -2.822}, {19.50055592153876, -2.799}, { 19.69655592153876, -2.76}, {19.865555921538757`, -2.71}, { 20.01055592153876, -2.654}, {20.13555592153876, -2.596}, { 20.24255592153876, -2.537}, {20.33655592153876, -2.477}, { 20.41655592153876, -2.418}, {20.48655592153876, -2.359}, { 20.66655592153876, -2.154}, {20.78255592153876, -1.894}, { 20.80655592153876, -1.655}, {20.773555921538758`, -1.43}, { 20.761555921538758`, -1.388}, {20.74555592153876, -1.337}, { 20.72255592153876, -1.272}, {20.688555921538757`, -1.191}, { 20.64055592153876, -1.091}, {20.572555921538758`, -0.97}, { 20.47855592153876, -0.826}, {20.34955592153876, -0.659}, { 20.179555921538757`, -0.476}, {19.964555921538757`, -0.285}, { 19.70255592153876, -0.104}, {19.39955592153876, 0.048}, { 19.06755592153876, 0.159}, {18.72255592153876, 0.233}, { 18.38555592153876, 0.299}, {18.09155592153876, 0.41}, { 17.930555921538758`, 0.681}, {17.93955592153876, 0.727}, { 17.96355592153876, 0.789}, {18.017555921538758`, 0.874}, { 18.13255592153876, 0.993}, {18.377555921538757`, 1.154}, { 18.57655592153876, 1.237}, {18.685555921538757`, 1.269}, { 18.81555592153876, 1.296}, {18.97155592153876, 1.314}, { 19.159555921538757`, 1.314}, {19.386555921538758`, 1.287}, { 19.66455592153876, 1.215}, {20.005555921538758`, 1.071}, { 20.18955592153876, 0.97}, {20.273555921538758`, 0.919}, { 20.360555921538758`, 0.862}, {20.45155592153876, 0.8}, { 20.546555921538758`, 0.732}, {20.64455592153876, 0.658}, { 20.746555921538757`, 0.578}, {20.85255592153876, 0.49}, { 20.96255592153876, 0.396}, {21.07655592153876, 0.294}, { 21.194555921538758`, 0.186}, {21.316555921538757`, 0.07}, { 21.44255592153876, -0.052}, {21.57155592153876, -0.181}, { 21.70455592153876, -0.316}, {21.84155592153876, -0.457}, { 21.98155592153876, -0.602}, {22.124555921538757`, -0.752}, { 22.270555921538758`, -0.905}, {22.41955592153876, -1.059}, { 22.569555921538758`, -1.214}, {22.72255592153876, -1.369}, { 22.87655592153876, -1.522}, {23.03055592153876, -1.671}, { 23.185555921538757`, -1.817}, {23.34055592153876, -1.956}, { 23.49555592153876, -2.089}, {23.64955592153876, -2.214}, { 23.801555921538757`, -2.331}, {23.95255592153876, -2.439}, { 24.101555921538758`, -2.538}, {24.24855592153876, -2.627}, { 24.39155592153876, -2.707}, {24.53255592153876, -2.776}, { 24.670555921538757`, -2.837}, {24.804555921538757`, -2.889}, { 24.935555921538757`, -2.932}, {25.06255592153876, -2.968}, { 25.228555921538756`, -3.004}, {25.27455592153876, -3.012}, { 25.331555921538758`, -3.021}, {25.40355592153876, -3.031}, { 25.493555921538757`, -3.04}, {25.60555592153876, -3.047}, { 25.741555921538758`, -3.049}, {25.90555592153876, -3.044}, { 26.10055592153876, -3.026}, {26.32655592153876, -2.99}, { 26.58055592153876, -2.935}, {26.860555921538758`, -2.858}, { 27.15455592153876, -2.763}, {27.45455592153876, -2.654}, { 27.74455592153876, -2.538}, {28.01255592153876, -2.416}, { 28.246555921538757`, -2.289}, {28.44055592153876, -2.157}, { 28.674555921538758`, -1.998}, {28.70855592153876, -1.986}, { 28.752555921538757`, -1.976}, {28.81255592153876, -1.975}, { 28.898555921538758`, -1.991}, {29.02755592153876, -2.044}, { 29.23055592153876, -2.165}, {29.55355592153876, -2.395}, { 29.58955592153876, -2.421}, {29.636555921538758`, -2.456}, { 29.69955592153876, -2.502}, {29.78255592153876, -2.563}, { 29.89455592153876, -2.642}, {30.04455592153876, -2.747}, { 30.24755592153876, -2.882}, {30.52255592153876, -3.047}, { 30.892555921538758`, -3.234}, {30.97655592153876, -3.27}, { 31.06555592153876, -3.306}, {31.158555921538756`, -3.34}, { 31.25755592153876, -3.373}, {31.359555921538757`, -3.405}, { 31.46655592153876, -3.433}, {31.578555921538758`, -3.46}, { 31.73955592153876, -3.49}, {31.78455592153876, -3.497}, { 31.84255592153876, -3.506}, {31.91655592153876, -3.515}, { 32.01055592153876, -3.524}, {32.12855592153876, -3.532}, { 32.27755592153876, -3.538}, {32.46255592153876, -3.538}, { 32.689555921538755`, -3.53}, {32.96455592153876, -3.511}, { 33.28855592153876, -3.482}, {33.66355592153876, -3.453}, { 33.826555921538755`, -3.445}, {33.87055592153876, -3.443}, { 33.927555921538755`, -3.441}, {33.99755592153876, -3.44}, { 34.085555921538756`, -3.44}, {34.195555921538755`, -3.442}, { 34.329555921538756`, -3.448}, {34.49255592153876, -3.461}, { 34.68855592153876, -3.484}, {34.921555921538754`, -3.524}, { 35.156555921538754`, -3.577}, {35.19755592153876, -3.588}, { 35.24955592153876, -3.601}, {35.314555921538755`, -3.619}, { 35.39555592153876, -3.642}, {35.49555592153876, -3.672}, { 35.61855592153876, -3.71}, {35.76855592153876, -3.76}, { 35.94755592153876, -3.82}, {36.11455592153876, -3.878}, { 36.159555921538754`, -3.893}, {36.21555592153876, -3.913}, { 36.28655592153876, -3.937}, {36.37355592153876, -3.966}, { 36.48055592153876, -4.001}, {36.60955592153876, -4.043}, { 36.80755592153876, -4.101}, {36.847555921538756`, -4.113}, { 36.89755592153875, -4.126}, {36.95955592153876, -4.142}, { 37.03555592153876, -4.161}, {37.12655592153876, -4.182}, { 37.335555921538756`, -4.223}, {37.37255592153876, -4.229}, { 37.41655592153876, -4.236}, {37.47055592153876, -4.243}, { 37.53355592153876, -4.251}, {37.72455592153876, -4.264}, { 37.75755592153876, -4.265}, {37.795555921538764`, -4.265}, { 37.923555921538764`, -4.243}, {37.74055592153876, -4.144}, { 37.57555592153876, -4.088}, {37.52155592153876, -4.069}, { 37.341555921538756`, -4.005}, {37.302555921538755`, -3.99}, { 37.25055592153876, -3.97}, {37.18155592153876, -3.943}, { 36.99355592153876, -3.866}, {36.95555592153876, -3.85}, { 36.90755592153876, -3.828}, {36.84355592153876, -3.8}, { 36.76155592153876, -3.763}, {36.56955592153876, -3.674}, { 36.53355592153876, -3.657}, {36.48755592153876, -3.635}, { 36.42855592153876, -3.607}, {36.35255592153876, -3.57}, { 36.25455592153876, -3.523}, {36.070555921538755`, -3.436}, { 36.028555921538754`, -3.416}, {35.975555921538756`, -3.392}, { 35.906555921538754`, -3.361}, {35.81855592153876, -3.322}, { 35.704555921538756`, -3.274}, {35.546555921538754`, -3.212}, { 35.50155592153876, -3.196}, {35.442555921538755`, -3.175}, { 35.36755592153876, -3.15}, {35.26855592153876, -3.12}, { 35.14055592153876, -3.086}, {34.972555921538756`, -3.049}, { 34.92255592153876, -3.04}, {34.85855592153876, -3.029}, { 34.77555592153876, -3.018}, {34.664555921538756`, -3.006}, { 34.51555592153876, -2.997}, {34.29755592153876, -2.995}, { 34.25155592153876, -2.996}, {34.19055592153876, -2.998}, { 34.11055592153876, -3.003}, {34.00455592153876, -3.011}, { 33.86155592153876, -3.026}, {33.664555921538756`, -3.052}, { 33.35355592153876, -3.1}, {33.31355592153876, -3.107}, { 33.26055592153876, -3.115}, {33.19055592153876, -3.127}, { 33.097555921538756`, -3.141}, {32.975555921538756`, -3.16}, { 32.80955592153876, -3.183}, {32.58355592153876, -3.208}, { 32.26955592153876, -3.225}, {31.96155592153876, -3.217}, { 31.77755592153876, -3.199}, {31.73355592153876, -3.193}, { 31.676555921538757`, -3.184}, {31.60255592153876, -3.17}, { 31.505555921538758`, -3.15}, {31.37855592153876, -3.118}, { 31.21155592153876, -3.067}, {30.991555921538758`, -2.983}, { 30.70255592153876, -2.845}, {30.43355592153876, -2.688}, { 30.353555921538756`, -2.636}, {30.26955592153876, -2.579}, { 30.180555921538758`, -2.517}, {30.08755592153876, -2.448}, { 29.988555921538758`, -2.373}, {29.886555921538758`, -2.291}, { 29.77955592153876, -2.202}, {29.667555921538757`, -2.106}, { 29.55055592153876, -2.003}, {29.424555921538758`, -1.888}, { 29.389555921538758`, -1.855}, {29.344555921538756`, -1.812}, { 29.286555921538756`, -1.757}, {29.21255592153876, -1.686}, { 29.12055592153876, -1.597}, {29.00155592153876, -1.479}, { 28.85255592153876, -1.328}, {28.667555921538757`, -1.139}, { 28.441555921538757`, -0.907}, {28.16955592153876, -0.629}, { 27.94255592153876, -0.401}, {27.87955592153876, -0.338}, { 27.813555921538757`, -0.275}, {27.74755592153876, -0.211}, { 27.679555921538757`, -0.147}, {27.610555921538758`, -0.083}, { 27.54055592153876, -0.019}, {27.38455592153876, 0.119}, { 27.35455592153876, 0.145}, {27.316555921538757`, 0.177}, { 27.26955592153876, 0.216}, {27.21155592153876, 0.263}, { 27.139555921538758`, 0.319}, {27.05355592153876, 0.385}, { 26.950555921538758`, 0.459}, {26.83055592153876, 0.539}, { 26.69555592153876, 0.62}, {26.549555921538758`, 0.695}, { 26.34955592153876, 0.772}, {26.31555592153876, 0.781}, { 26.27455592153876, 0.79}, {26.229555921538758`, 0.798}, { 26.180555921538758`, 0.801}, {26.13255592153876, 0.798}, { 26.21355592153876, 0.505}, {26.34055592153876, 0.395}, { 26.47755592153876, 0.286}, {26.72055592153876, 0.106}, { 26.85455592153876, 0}, {26.987555921538757`, -0.117}, { 27.113555921538758`, -0.242}, {27.14355592153876, -0.274}, { 27.26055592153876, -0.409}, {27.286555921538756`, -0.442}, { 27.32055592153876, -0.486}, {27.42855592153876, -0.636}, { 27.45555592153876, -0.676}, {27.488555921538758`, -0.729}, { 27.57955592153876, -0.883}, {27.60155592153876, -0.922}, { 27.627555921538757`, -0.974}, {27.65955592153876, -1.042}, { 27.72355592153876, -1.194}, {27.73955592153876, -1.238}, { 27.75755592153876, -1.296}, {27.77855592153876, -1.372}, { 27.807555921538757`, -1.538}, {27.81155592153876, -1.586}, { 27.81255592153876, -1.647}, {27.807555921538757`, -1.727}, { 27.77155592153876, -1.887}, {27.75455592153876, -1.933}, { 27.725555921538756`, -1.992}, {27.679555921538757`, -2.069}, { 27.549555921538758`, -2.223}, {27.511555921538758`, -2.259}, { 27.456555921538758`, -2.306}, {27.37655592153876, -2.368}, { 27.255555921538758`, -2.451}, {27.01355592153876, -2.587}, { 26.97455592153876, -2.606}, {26.923555921538757`, -2.63}, { 26.85255592153876, -2.662}, {26.75455592153876, -2.704}, { 26.615555921538757`, -2.758}, {26.40855592153876, -2.825}, { 26.08955592153876, -2.901}, {25.880555921538758`, -2.931}, { 25.77655592153876, -2.939}, {25.66055592153876, -2.944}, { 25.53255592153876, -2.943}, {25.33055592153876, -2.929}, { 25.28355592153876, -2.923}, {25.223555921538757`, -2.914}, { 25.142555921538758`, -2.9}, {25.03555592153876, -2.876}, { 24.89055592153876, -2.837}, {24.69255592153876, -2.769}, { 24.418555921538758`, -2.648}, {24.148555921538758`, -2.499}, { 24.06455592153876, -2.447}, {23.97555592153876, -2.388}, { 23.87955592153876, -2.322}, {23.77655592153876, -2.247}, { 23.665555921538758`, -2.163}, {23.546555921538758`, -2.069}, { 23.41955592153876, -1.962}, {23.28355592153876, -1.844}, { 23.13755592153876, -1.711}, {22.981555921538757`, -1.564}, { 22.81555592153876, -1.401}, {22.63755592153876, -1.223}, { 22.44955592153876, -1.03}, {22.25055592153876, -0.822}, { 22.040555921538758`, -0.602}, {21.819555921538758`, -0.372}, { 21.59055592153876, -0.136}, {21.35355592153876, 0.102}, { 21.10855592153876, 0.336}, {20.85855592153876, 0.56}, { 20.60555592153876, 0.767}, {20.351555921538758`, 0.954}, { 20.13255592153876, 1.095}, {20.095555921538757`, 1.117}, { 20.04755592153876, 1.144}, {19.987555921538757`, 1.177}, { 19.91055592153876, 1.217}, {19.81455592153876, 1.263}, { 19.69655592153876, 1.314}, {19.54855592153876, 1.368}, { 19.368555921538757`, 1.42}, {19.15255592153876, 1.461}, { 18.898555921538758`, 1.48}, {18.607555921538758`, 1.463}, { 18.28255592153876, 1.398}, {17.930555921538758`, 1.284}, { 17.557555921538757`, 1.129}, {17.16455592153876, 0.965}, { 16.87855592153876, 0.872}, {16.84955592153876, 0.865}, { 16.83255592153876, 0.862}, {16.55655592153876, 0.821}, { 16.241555921538758`, 0.839}, {15.997555921538758`, 0.899}, { 15.80655592153876, 0.97}, {15.656555921538759`, 1.039}, { 15.53755592153876, 1.099}, {15.445555921538759`, 1.15}, { 15.372555921538758`, 1.192}, {15.31555592153876, 1.226}, { 15.27155592153876, 1.252}, {15.23655592153876, 1.273}, { 14.887555921538759`, 1.496}, {14.608555921538759`, 1.677}, { 14.392555921538758`, 1.813}, {14.227555921538759`, 1.912}, { 14.10055592153876, 1.984}, {14.003555921538759`, 2.037}, { 13.92855592153876, 2.076}, {13.871555921538759`, 2.104}, { 13.827555921538758`, 2.125}, {13.67555592153876, 2.193}, { 13.392555921538758`, 2.297}, {13.194555921538758`, 2.349}, { 13.054555921538759`, 2.374}, {12.955555921538759`, 2.385}, { 12.883555921538758`, 2.389}, {12.831555921538758`, 2.389}, { 12.62055592153876, 2.369}, {12.50755592153876, 2.341}, { 12.429555921538759`, 2.315}, {12.368555921538759`, 2.293}, { 12.317555921538759`, 2.276}, {12.273555921538758`, 2.262}, { 12.235555921538758`, 2.252}, {12.203555921538758`, 2.244}, { 11.871555921538759`, 2.182}, {11.53955592153876, 2.127}, { 11.19055592153876, 2.072}, {10.86155592153876, 2.034}, { 10.57255592153876, 2.024}, {10.328555921538758`, 2.041}, { 10.128555921538759`, 2.074}, {9.967555921538759, 2.116}, { 9.840555921538758, 2.157}, {9.740555921538759, 2.196}, { 9.663555921538759, 2.229}, {9.602555921538759, 2.258}, { 9.55655592153876, 2.281}, {9.520555921538758, 2.3}, { 9.283555921538758, 2.44}, {9.137555921538759, 2.545}, { 9.025555921538759, 2.642}, {8.958555921538759, 2.796}, { 9.044555921538759, 2.815}, {9.219555921538758, 2.803}, { 9.503555921538759, 2.771}, {9.797555921538759, 2.748}, { 9.892555921538758, 2.745}, {9.99555592153876, 2.744}, { 10.105555921538759`, 2.745}, {10.224555921538759`, 2.75}, { 10.352555921538759`, 2.759}, {10.491555921538758`, 2.771}, { 10.641555921538759`, 2.789}, {10.805555921538758`, 2.811}, { 10.984555921538758`, 2.837}, {11.179555921538759`, 2.866}, { 11.39355592153876, 2.896}, {11.62955592153876, 2.923}, { 11.890555921538759`, 2.941}, {12.17855592153876, 2.944}, { 12.497555921538758`, 2.919}, {12.849555921538759`, 2.853}, { 13.234555921538758`, 2.735}, {13.424555921538758`, 2.658}, { 13.508555921538758`, 2.621}, {13.593555921538758`, 2.581}, { 13.679555921538759`, 2.538}, {13.766555921538759`, 2.493}, { 13.855555921538759`, 2.445}, {13.944555921538758`, 2.395}, { 14.034555921538757`, 2.342}, {14.125555921538758`, 2.288}, { 14.217555921538759`, 2.231}, {14.310555921538759`, 2.172}, { 14.404555921538758`, 2.111}, {14.49855592153876, 2.05}, { 14.593555921538758`, 1.986}, {14.688555921538759`, 1.923}, { 14.784555921538757`, 1.858}, {14.88055592153876, 1.794}, { 14.976555921538758`, 1.73}, {15.073555921538759`, 1.666}, { 15.170555921538758`, 1.604}, {15.267555921538758`, 1.543}, { 15.36455592153876, 1.483}, {15.461555921538759`, 1.427}, { 15.55955592153876, 1.372}, {15.656555921538759`, 1.322}, { 15.75555592153876, 1.274}, {15.853555921538758`, 1.231}, { 15.952555921538758`, 1.192}, {16.051555921538757`, 1.158}, { 16.15255592153876, 1.13}, {16.25355592153876, 1.107}, { 16.35655592153876, 1.09}, {16.46055592153876, 1.079}, { 16.56755592153876, 1.075}, {16.676555921538757`, 1.079}, { 16.78855592153876, 1.089}, {16.90555592153876, 1.107}, { 17.02655592153876, 1.133}, {17.153555921538757`, 1.166}, { 17.28355592153876, 1.204}, {17.426555921538757`, 1.251}, { 17.57955592153876, 1.303}, {17.74455592153876, 1.359}, { 17.924555921538758`, 1.417}, {18.12255592153876, 1.474}, { 18.34055592153876, 1.523}, {18.58355592153876, 1.557}, { 18.84955592153876, 1.566}, {19.153555921538757`, 1.537}, { 19.493555921538757`, 1.454}, {19.87255592153876, 1.297}, { 19.95255592153876, 1.255}, {20.034555921538757`, 1.21}, { 20.118555921538757`, 1.16}, {20.203555921538758`, 1.107}, { 20.290555921538758`, 1.05}, {20.37855592153876, 0.989}, { 20.46855592153876, 0.924}, {20.560555921538757`, 0.855}, { 20.65255592153876, 0.781}, {20.746555921538757`, 0.704}, { 20.84155592153876, 0.624}, {20.93755592153876, 0.539}, { 21.03555592153876, 0.451}, {21.133555921538758`, 0.36}, { 21.232555921538758`, 0.266}, {21.33255592153876, 0.169}, { 21.43355592153876, 0.069}, {21.53555592153876, -0.033}, { 21.636555921538758`, -0.136}, {21.738555921538758`, -0.241}, { 21.84155592153876, -0.348}, {21.94355592153876, -0.455}, { 22.04555592153876, -0.562}, {22.148555921538758`, -0.669}, { 22.249555921538757`, -0.776}, {22.351555921538758`, -0.882}, { 22.45255592153876, -0.986}, {22.552555921538758`, -1.09}, { 22.65255592153876, -1.191}, {22.75055592153876, -1.29}, { 22.848555921538757`, -1.386}, {22.944555921538758`, -1.48}, { 23.040555921538758`, -1.571}, {23.13455592153876, -1.659}, { 23.22755592153876, -1.744}, {23.319555921538758`, -1.825}, { 23.409555921538757`, -1.903}, {23.49855592153876, -1.977}, { 23.58555592153876, -2.047}, {23.670555921538757`, -2.114}, { 23.75455592153876, -2.177}, {23.83755592153876, -2.237}, { 23.918555921538758`, -2.293}, {23.99755592153876, -2.345}, { 24.273555921538758`, -2.51}, {24.615555921538757`, -2.669}, { 24.917555921538757`, -2.768}, {25.185555921538757`, -2.821}, { 25.421555921538758`, -2.841}, {25.62955592153876, -2.837}, { 25.813555921538757`, -2.817}, {25.976555921538758`, -2.786}, { 26.12055592153876, -2.747}, {26.24855592153876, -2.705}, { 26.362555921538757`, -2.66}, {26.46455592153876, -2.612}, { 26.555555921538758`, -2.565}, {26.810555921538757`, -2.393}, { 27.02455592153876, -2.171}, {27.136555921538758`, -1.966}, { 27.18455592153876, -1.774}, {27.18955592153876, -1.592}, { 27.16355592153876, -1.42}, {27.116555921538758`, -1.258}, { 27.054555921538757`, -1.104}, {26.982555921538758`, -0.96}, { 26.90355592153876, -0.826}, {26.82055592153876, -0.7}, { 26.734555921538757`, -0.584}, {26.64755592153876, -0.477}, { 26.56155592153876, -0.379}, {26.47555592153876, -0.288}, { 26.39155592153876, -0.206}, {26.30955592153876, -0.13}, { 26.229555921538758`, -0.062}, {26.15255592153876, 0.001}, { 25.982555921538758`, 0.126}, {25.668555921538758`, 0.321}, { 25.423555921538757`, 0.455}, {25.23955592153876, 0.559}, { 25.11155592153876, 0.653}, {25.03655592153876, 0.746}, { 25.01255592153876, 0.84}, {25.04455592153876, 0.935}, { 25.13755592153876, 1.027}, {25.30055592153876, 1.103}, { 25.549555921538758`, 1.143}, {25.90455592153876, 1.106}, { 25.98955592153876, 1.084}, {26.08055592153876, 1.056}, { 26.176555921538757`, 1.02}, {26.27855592153876, 0.977}, { 26.386555921538758`, 0.925}, {26.50055592153876, 0.864}, { 26.621555921538757`, 0.793}, {26.74855592153876, 0.71}, { 26.88155592153876, 0.616}, {27.02155592153876, 0.51}, { 27.16855592153876, 0.392}, {27.32155592153876, 0.261}, { 27.48055592153876, 0.118}, {27.645555921538758`, -0.037}, { 27.81555592153876, -0.203}, {27.991555921538758`, -0.378}, { 28.170555921538757`, -0.562}, {28.35455592153876, -0.752}, { 28.54055592153876, -0.946}, {28.72955592153876, -1.141}, { 28.91855592153876, -1.336}, {29.109555921538757`, -1.526}, { 29.298555921538757`, -1.711}, {29.48655592153876, -1.887}, { 29.67255592153876, -2.054}, {29.85555592153876, -2.208}, { 30.03555592153876, -2.351}, {30.21055592153876, -2.48}, { 30.38155592153876, -2.595}, {30.54755592153876, -2.697}, { 30.70755592153876, -2.786}, {30.862555921538757`, -2.862}, { 31.011555921538758`, -2.927}, {31.155555921538756`, -2.981}, { 31.292555921538757`, -3.025}, {31.42555592153876, -3.061}, { 31.552555921538758`, -3.088}, {31.674555921538758`, -3.109}, { 31.79055592153876, -3.124}, {31.90255592153876, -3.134}, { 32.00855592153876, -3.139}, {32.11155592153876, -3.141}, { 32.20955592153876, -3.14}, {32.302555921538755`, -3.136}, { 32.71755592153876, -3.091}, {33.055555921538755`, -3.03}, { 33.33455592153876, -2.97}, {33.567555921538755`, -2.918}, { 33.76455592153876, -2.875}, {33.93455592153876, -2.841}, { 34.08155592153876, -2.815}, {34.21155592153876, -2.794}, { 34.32555592153876, -2.779}, {34.427555921538755`, -2.767}, { 34.73255592153876, -2.751}, {35.02055592153876, -2.765}, { 35.222555921538756`, -2.795}, {35.37355592153876, -2.831}, { 35.48855592153876, -2.865}, {35.57855592153876, -2.896}, { 35.64855592153876, -2.922}, {35.70355592153876, -2.944}, { 35.74655592153876, -2.962}, {35.90055592153875, -3.031}, { 36.04155592153876, -3.099}, {36.18455592153876, -3.171}, { 36.33355592153876, -3.248}, {36.48555592153876, -3.326}, { 36.64355592153876, -3.406}, {36.80455592153876, -3.484}, { 36.97055592153876, -3.56}, {37.13955592153876, -3.631}, { 37.311555921538755`, -3.697}, {37.48555592153876, -3.756}, { 37.66055592153876, -3.808}, {37.835555921538756`, -3.851}, { 38.01055592153876, -3.887}, {38.183555921538755`, -3.914}, { 38.35455592153876, -3.935}, {38.52155592153876, -3.95}, { 38.686555921538755`, -3.959}, {38.847555921538756`, -3.964}, { 39.00355592153876, -3.967}, {39.15555592153876, -3.968}, { 39.302555921538755`, -3.968}, {39.445555921538755`, -3.968}, { 39.58355592153876, -3.968}, {39.71755592153876, -3.97}, { 39.84555592153876, -3.974}, {39.97055592153876, -3.98}, { 40.08955592153876, -3.987}, {40.20555592153876, -3.997}, { 40.31655592153876, -4.01}, {40.423555921538764`, -4.024}, { 40.52655592153876, -4.041}, {40.62555592153876, -4.059}, { 40.72055592153876, -4.079}, {40.811555921538755`, -4.101}, { 41.21155592153876, -4.223}, {41.51355592153876, -4.347}, { 41.713555921538756`, -4.45}, {41.70955592153876, -4.542}, { 41.46555592153876, -4.504}, {41.177555921538755`, -4.455}, { 41.08055592153876, -4.44}, {40.97655592153876, -4.425}, { 40.86355592153876, -4.412}, {40.74255592153876, -4.399}, { 40.61155592153876, -4.389}, {40.47055592153876, -4.381}, { 40.31955592153876, -4.377}, {40.156555921538754`, -4.377}, { 39.98355592153876, -4.381}, {39.79755592153876, -4.389}, { 39.59855592153876, -4.401}, {39.38555592153876, -4.417}, { 39.15755592153876, -4.434}, {38.91455592153876, -4.45}, { 38.65555592153876, -4.461}, {38.37955592153876, -4.464}, { 38.08655592153876, -4.453}, {37.77655592153876, -4.422}, { 37.448555921538755`, -4.368}, {37.10155592153876, -4.287}, { 36.73355592153876, -4.177}, {36.34355592153876, -4.042}, { 36.03955592153876, -3.931}, {35.954555921538756`, -3.9}, { 35.86755592153876, -3.868}, {35.778555921538754`, -3.836}, { 35.689555921538755`, -3.805}, {35.597555921538756`, -3.773}, { 35.50355592153876, -3.742}, {35.40855592153876, -3.711}, { 35.311555921538755`, -3.682}, {35.21155592153876, -3.653}, { 35.11055592153876, -3.626}, {35.00655592153876, -3.6}, { 34.90055592153875, -3.576}, {34.79155592153876, -3.555}, { 34.67955592153876, -3.535}, {34.56355592153876, -3.519}, { 34.44455592153876, -3.505}, {34.32255592153876, -3.494}, { 34.195555921538755`, -3.487}, {34.064555921538755`, -3.483}, { 33.92955592153876, -3.483}, {33.78855592153876, -3.486}, { 33.64355592153876, -3.492}, {33.49155592153876, -3.502}, { 33.33455592153876, -3.513}, {33.171555921538754`, -3.526}, { 33.00255592153876, -3.54}, {32.826555921538755`, -3.552}, { 32.64555592153876, -3.562}, {32.457555921538756`, -3.567}, { 32.26355592153876, -3.565}, {32.064555921538755`, -3.555}, { 31.86155592153876, -3.534}, {31.655555921538756`, -3.501}, { 31.44655592153876, -3.454}, {31.238555921538758`, -3.393}, { 31.030555921538756`, -3.317}, {30.82655592153876, -3.229}, { 30.62655592153876, -3.13}, {30.43355592153876, -3.023}, { 30.24755592153876, -2.91}, {30.07155592153876, -2.796}, { 29.905555921538756`, -2.682}, {29.75055592153876, -2.573}, { 29.607555921538758`, -2.471}, {29.475555921538756`, -2.378}, { 29.35555592153876, -2.295}, {29.246555921538757`, -2.225}, { 29.148555921538758`, -2.166}, {28.95555592153876, -2.079}, { 28.64055592153876, -2.103}, {28.482555921538758`, -2.193}, { 28.39955592153876, -2.244}, {28.299555921538758`, -2.301}, { 28.17555592153876, -2.366}, {28.02155592153876, -2.44}, { 27.82455592153876, -2.525}, {27.56755592153876, -2.626}, { 27.23355592153876, -2.748}, {27.036555921538756`, -2.813}, { 26.94255592153876, -2.843}, {26.84255592153876, -2.873}, { 26.734555921538757`, -2.903}, {26.62055592153876, -2.933}, { 26.496555921538757`, -2.962}, {26.36455592153876, -2.99}, { 26.22255592153876, -3.015}, {26.07055592153876, -3.035}, { 25.90555592153876, -3.049}, {25.728555921538756`, -3.055}, { 25.53855592153876, -3.048}, {25.33355592153876, -3.026}, { 25.112555921538757`, -2.984}, {24.87655592153876, -2.917}, { 24.62355592153876, -2.821}, {24.35555592153876, -2.69}, { 24.07155592153876, -2.522}, {23.77455592153876, -2.314}, { 23.46555592153876, -2.067}, {23.14755592153876, -1.784}, { 22.91055592153876, -1.558}, {22.845555921538757`, -1.495}, { 22.78055592153876, -1.43}, {22.71555592153876, -1.365}, { 22.65055592153876, -1.299}, {22.58555592153876, -1.233}, { 22.520555921538758`, -1.167}, {22.45555592153876, -1.1}, { 22.39155592153876, -1.033}, {22.32655592153876, -0.966}, { 22.26255592153876, -0.899}, {22.19855592153876, -0.832}, { 22.13455592153876, -0.765}, {22.07155592153876, -0.699}, { 22.008555921538758`, -0.633}, {21.94555592153876, -0.567}, { 21.63755592153876, -0.251}, {21.342555921538757`, 0.042}, { 21.06155592153876, 0.305}, {20.79755592153876, 0.532}, { 20.55055592153876, 0.725}, {20.32155592153876, 0.884}, { 20.10955592153876, 1.011}, {19.91355592153876, 1.11}, { 19.73455592153876, 1.185}, {19.569555921538758`, 1.239}, { 19.418555921538758`, 1.275}, {19.28055592153876, 1.297}, { 19.153555921538757`, 1.307}, {19.03855592153876, 1.308}, { 18.932555921538757`, 1.302}, {18.834555921538758`, 1.289}, { 18.459555921538758`, 1.177}, {18.21955592153876, 1.037}, { 18.07355592153876, 0.9}, {17.996555921538757`, 0.777}, { 17.973555921538757`, 0.667}, {17.99455592153876, 0.571}, { 18.05355592153876, 0.488}, {18.148555921538758`, 0.418}, { 18.275555921538757`, 0.36}, {18.43655592153876, 0.312}, { 18.633555921538758`, 0.269}, {18.87055592153876, 0.221}, { 19.15555592153876, 0.148}, {19.49555592153876, 0.018}, { 19.674555921538758`, -0.077}, {19.755555921538758`, -0.126}, { 19.83855592153876, -0.182}, {19.92355592153876, -0.244}, { 20.01055592153876, -0.313}, {20.09955592153876, -0.389}, { 20.188555921538757`, -0.474}, {20.27755592153876, -0.568}, { 20.366555921538758`, -0.67}, {20.45455592153876, -0.782}, { 20.53855592153876, -0.904}, {20.616555921538758`, -1.034}, { 20.68755592153876, -1.175}, {20.74755592153876, -1.324}, { 20.790555921538758`, -1.484}, {20.81155592153876, -1.652}, { 20.80055592153876, -1.83}, {20.74455592153876, -2.02}, { 20.621555921538757`, -2.221}, {20.395555921538758`, -2.437}, { 20.238555921538758`, -2.542}, {20.15755592153876, -2.587}, { 20.066555921538757`, -2.631}, {19.96555592153876, -2.674}, { 19.85255592153876, -2.716}, {19.726555921538758`, -2.753}, { 19.58355592153876, -2.786}, {19.424555921538758`, -2.811}, { 19.24455592153876, -2.824}, {19.04155592153876, -2.82}, { 18.813555921538757`, -2.793}, {18.55655592153876, -2.734}, { 18.26655592153876, -2.632}, {17.941555921538757`, -2.473}, { 17.680555921538758`, -2.314}, {17.60555592153876, -2.264}, { 17.52955592153876, -2.21}, {17.45155592153876, -2.154}, { 17.37255592153876, -2.094}, {17.29255592153876, -2.031}, { 17.21055592153876, -1.965}, {17.12655592153876, -1.895}, { 17.04255592153876, -1.822}, {16.956555921538758`, -1.746}, { 16.868555921538757`, -1.667}, {16.78055592153876, -1.586}, { 16.69055592153876, -1.501}, {16.60055592153876, -1.413}, { 16.50655592153876, -1.322}, {16.41455592153876, -1.229}, { 16.32055592153876, -1.135}, {16.226555921538758`, -1.038}, { 16.13155592153876, -0.94}, {16.03555592153876, -0.841}, { 15.939555921538759`, -0.74}, {15.843555921538758`, -0.639}, { 15.746555921538759`, -0.538}, {15.64955592153876, -0.436}, { 15.552555921538758`, -0.335}, {15.455555921538759`, -0.234}, { 15.358555921538759`, -0.134}, {15.261555921538758`, -0.036}, { 15.165555921538758`, 0.061}, {15.06955592153876, 0.156}, { 14.974555921538759`, 0.249}, {14.88055592153876, 0.339}, { 14.78655592153876, 0.427}}]], LineBox[CompressedData[" 1:eJxdWndcU9f7DiMhQAgkRKuAEPYeYQ/xHGQE3FvrruIsdVX9qlXr3rNqrVrr xr0XdXCP1D1RqXuAoqI42Hv8kvO+ST+fH//wuZ+b3HvOO573eZ4T12Hje4ww FYlE/uYikf5/W5n3pilD/NgvqiPaghkquq/cLXFUqB9LOVPemDdNRWMLts37 M9eXZW65rD42SUVL8rb2bXHOl02Mt3q8a4KKTmvZ1Pb9n75MMndD4vIMFd2u lXw0/Z8v45ejVPTCjrEeb1J82bWOUUsThqropA2ja/uX+LAP9ftLH3RW0Qq/ QwuuPfZhqbqXH9Gq6Lmpb20ss3zYz6PXfplJVPQ3h14d7Vf7sC7D7PrFhKto +FArovDwYQd03x5mp6Lm899Fr5H7sH+nffTSSFU0x000+qdyb3Zsku4BDfb0 UJpmQutcbxb3uuvKjV/taZNJt0rznd6s/dB3uW7P7Wn+zPRdnRK9Gd/9EXvq Jr2/LDXQm+kW+y53pz3s386b1c0ee2HyOnv6dX/LhLbFXkyk/5tjT2dmyMb+ cc6LddJvb4Q9ze16QjxogBc8L8ieqp47f+mX7MV6vd2ji6A9zeo4sDrY1wvX b08zVA9P3zPzYnw5tUra8Oj6K/+Hnmzg6pxKnxdK2G+6J0vnG1BS5xM5g37v 6sn00Y9fpqRjP3bcVhXuCd+frqRv9hb/7an0xPUoKaue1n19oQebRSIGn0tT Ur9TXwoP7fNgFbrsfvRSUqfFcdqL1APy91mB6/OAfOUrqNfg12frrDxYFA+I grbSBDpYv3VnPP0XFfTmXaec+0fcWfY2h+CXuxU05e1Ny5Nj3Nm5NJmp/2IF Ne032O1ssxvj6f0Bn//RjXlrpIec+ivoqcrON2fdcmM9spwXFndX0C6rPwz/ bo8b1oOCOgw8FVI40Y3pP50ep6Dtoo4c7RLkxm5M1b9RQVtKMs1C81zh/R4K 2n+tsjhwtiuLOXV9araLgj7z6jN18whX5qJ7epazgtYdTLjeI+m/+3+WVp/v 1toV86OgfeLMs3/JV0P+3RQ0JGK+T/QGNfPlCVFA/YaosR4VdPvklxX5o1xY TU/dA5IU9MLdhBAW5WJcf/qGlaPSap3Zia3f9l7tqKA1h9de7JvpbNyvbODT vx7EOrMyfTn0U9CZm95OmXqwDePbHaKgHkODDzd/dmIj+Z/h2pH9qW/H0Qpa 6He/7HS+A9N3S8RgBXU6pey55bgD1PcA3fuetMoLmeLA9OVi1VdBX8w+9Ud3 TwemS07Lp10UlJ5bV/TqQmv20kNfAQqakXDg0uHw1oyHI0RBe8X3OjlnXius VwUNX1nQ4dv677B/7KjdiQ+3FvRryXj5zrajh6ZKZ1bTFkzfjYec7GinC9nj K1u0YLz8ZHZ0/daYBbteqtjn7voA2OLzVKy1eR954Albun1buvW5SBXj5ZFu i+uzx/6Q07bpC88HuNhDP4+T016jn9/4vrsS1nvMhoYM6x/eMkXB5rObO5LP yOg07ZSwu/dtmS5buoxb0yd972TM22zDeDkstKJZjaM1uzrY4PusaNGzlVEe +TKsNyvK8mQ783vJEF+saH7QxJfCbms2jD/Qkl7vvfPdj5esED8t8fmWWD+W NMunRDuztZTpFqucz6S0X6KL5w4XCeZLd/3FrubrXDPWQd8uLaU0/8mwYzYW Jvg+KS0Zserx08NNguH+nJmjMu+bNAkQXykNSX6VPtGpUYD3SWnusvX9xpfW C+ta6QMqpccGnA0bM6FOgP1I6Zq87f03T6sR2vTXI4qUqjddsrIpqBQAv3Xv f3NHFj26TLiiL6+1Urr9x6hXa+YUC5AfKRW5/pLdaclLAeItpbTP02m/r38s PL1bresA3foKkof+1u6+AHipu975vPOF4ssCx+OZuu+fUf+b3+eAAP2vu75c MadgxXEC/ay7lmWsy/a5Qap89A1nQUVLp6pMnj0jkD/ddf9N3+r6vSQQPwvK 7sz89C4+n3A8itfdN3u+O7jDGwL1akHVZ3c5fv1YSAC/JHSo0DU6tUsRgXxJ qPqNX+i1rM/klq5ayhvFVP0zVc+IKCUQHzHNPee6ZdXbCgL9ak7XPM1clL+l lvDx+NGUbh84qvu8gkbiyQNoQu2u1LRrVjcTwBMTev1L0aJfYkUU4iWi0yJu mqwpEtGH+naPEdGQXl2/FGw3oRCfZrJkpdmZfkNMKayviZRsHfBN5mNGdc2l C2gjUXtv7VpWY0Yb9ONzWAOpuWmzsuGeOQV8qSdPkt3iko6LaZMe3jV1ZE2M 2u7iZgmF+qklTpkWslErLKg+O63Ma8ipj79N67JESiHeVaTfwr6bmuosaTAH hEoy+fX5vJcdrKgOLXQZriQv+POtKMSrggQ8/Ht/n3Brek+f/i0VJFqUoU15 YU0BLytIqunGuwNPy2jS8gzdyC8nA4+9Ovr4hg2FfJeTFVnLbmuCbCnkp4y8 UY/8ffmvdhT6pYzMsZMPenxGQYE/lJNhZ/a71rxXUpgvFUT+0GxRWIo9rr+C HNjoEZmpm+MQr0oSaS4L7aZW4X6ryG3txr+i/lRRjv/bqsh2NufKaI8WFPCv mpg3DGlRdb4F1Vf71m/VJHXx7YbSES0p1HMNOfdt0Kdxnt9RmJ+15Ld1d72n N3xHoV9qyd1JzqftiltR6JdacqzVuekax9YU+EUt+eq2ts3Ofq3peKUeoWqJ 16EHsxbvb01LdNmLWlpL7JqW/Slr4YDxriWL1u7aPmyXA3XlBVJDlL7Kk++G O2J8a8jsd4tSmkY5UT6PTlWRwo5fDqXfbUMv6eGvvJx0C/vYp4+rszHeAyNU rzJmOFOo5zIi7TGu/b6nzhTmTymJ7e8wxLSdC92nX05CCa7PhQJ+fyXvd3W8 5yhXY70VE+mvyV0WdVBjPReR31ueGmq5XE136ssjr5CsHLtRsueemk7hgFRA hr2dE/joO1f6hz69N5+S4GOd63amu9LdE/QdnEtGxazuv+S0K+Xjs+AcPN/K jfL2zz4qLP5o8k/r4W6Ul/PTu0LT3h0vU5kbBTx/LvRYrp1u4+pOf+UJLxTm ryvfMGqhO+Xp3PtJ+N/a6/Lunw3XJULgwqtvb/T2oL8n6gu0XGj9eLZp10se FOZ3teDST5XyLNCTAv+tE05MaPVn0WZPCvy4UUhZ6lRWZeFFAX9FLHtSonvz z14U5rMJW7PBuc3sV15Yr6bsr5zccz+leFNH3mBmbOCw4o8dDnpjPszZrcnj DrSw8aEw78zh/o8+iA9iVjLjG/n+iQ+F+SlmfH1ffHD9Ygbr8cV4S9jmjJyV 5318KeCRhDmaSlr7dPOlYfxPwlYQu5Jbc3wp8G0J++xRoNx7zhf7QcIm2oXd utLsS//SpztKwtq9bN74Wyc/ysevUsLquq879vtOP8ynmLU9MW3u341+lJfn QDHzfLp/6Yj+/tSdN6Q5xOekP67fjLkfcft5hXUAhXSaslnKwT1etAqgwHdN cf0BGB9TNnjlJJFHbADGxwTi1TmA8tetNmHRA8f2shgagPs3YQ0zHa6NnxiA eCBiUA8BFPhUk5BVevj1z4sDKC+Hq43CQ/Vy8xlLAuh2PZ2UNAp8P7MCKIeP PnVCh9d+LvtHBFAerogagcdLtx7g11VCJ6sTEfPCAyiHu9IqAfIdQPk4WVkr QL8EUJhndQLvpy4BiG+NAo9HxwDs7yao3+QAzFez8OfGtN3rowKw/0SMr1ca gHhjwpIGb3jeptYf12/K8t3OLF9T4I/7N4X8XPSnvJ1NzViXiJhOA+b706/6 cXrOjF0pfzJymdof8dGcHUteu9D2th8FPiFm498dPPX5mB/mQwz5W+5nrM9/ Oyode/b1Q7wTs36ylxf+sPGjnH68FsPzt/ti/sRQb3U+FPiUGOpzjQ8Ffidm /aPSH04c6IP7F7Ml+v5396GcrnwwZztbvf7gUuiN/W/O2gSuDDbZ5k05HbAy Z6+qg6ac7eGNzzPD+vSi0zmBMmWZ476oHsz1wnowYdech84aPt4L32fCOF71 9UL8FUF8Y7xwHohYpOZtfJDCC/FGBOt94Yn41STweGz0xPnbKKwvDugQ0tYT v18nXNp6M+ZJjgeut1r453r3bse7e+D8LRf4eoI9aDc+EMsEjq/WHthfpcJF 7QWZ1zt3rJcSwXX+loEnL7hjPr8I3YayYeG/uWO8P2H9ulPgR0XC3NEZv66K dMf5WSiMSW858Qdzd6ynAoHnI9eNAr95IfD+/MONAj/6V+DxHmLA31sCxwM3 N+zns4DXb12Rr2wnHJ93uCIeXCZ3tlWyrwNccd4/IPZ9Pmb/o3JF/HkO+H9T jXhRQKAf1RT03nsSu7h0bH6QmvJxmvyJfLo9r+TbORe8/orz1AX7oZQU7ah/ 2jLDmd65rf8rI+Oy8vbJWRt6Xy9fxlYQNqE8sE7RBuu1ktTUhq96PcyJgn6s Jqpem25kn3DEfqghHnM7jjryzIHydvKvRf7x3/yW7Zs5vv//HDA+tfD9UAfM Ty3p91p8/NyL1ri/WtJj8ISfgie0psDv64x8AvhtHUnSZN8jqa1w3taRkbKs LgcWfEe5HyGqI++nTv4nfmtLnE+1ZIUypvDL6haIjzUkr/xkzZa+KiPfyVjZ +beIUiXiXyU58iV0eL/bCuRjFcTh3yCbDtt0ul3f7lkVJKjft8fF6Qoj3+N8 ykmBfLUC+EO2HfaTgZ/ZYf4ryCmVw2rvvrZYTxWkpHyMk3DFBvG6ktjtfrGg 20lr5B9V5InDFo8f30gp19eXa/C+BdZvHVHfX+VGB1gY8JQAv5YgP60jqf32 1Mt7SijowXqyZNjMbb+uEWP/N5Bu5jm9f15ljvOzkfyxOih+fLQZzrNmEvLr I7Pz401wvpvQkCk/7l0jbyI4ryh1XWJSmVZP/tGHN8eMlhCbLymmdahndHrh WIfqNpk1BPieOWVnbq34QVNNAC/ENOTW9Lz2hyoJ4IGYsqwq+2lWFahfJLSb 5ytbt4YSAvNEQtmwovdXMkrw+xY0X3SsTeuJ3wjMHws6p/Wpn73/+kKAb+j0 0W71APfUYvITN9wMeqmIgD7Q6bfomCHT+xQS4F9SygI+dLc+/opAPVtSOk4b 9eLhfdyfJRUNXe5m7fIHgfxaUVG3fm97WD4UgF9b03wXUe+u6vcC1Js1Vedd v2XDPguA79ZUtI5OudG7VAA80n0++kXMJ3GZAP0po+xkyQfNhzIB7EgZtWNl yr8bywXANxl+v1KA+pVR6nx44JXmKgHWI6P5P0TfOFRfI0B9ymhJYc26Lgn1 AswL3fNamtAftzQKgJ82+LxmAeItp2se3So41r1RgHq1pXZjC99JhjYIgMe2 VJ3TZvO9R3UC+B+2NN+mt7siqkYw+B1rDibdejyvXPifPv2D7Kjog7vjCIcS AfxCO7p9jKzvjL2fBeADdpQuGnn+9KIiYfMm/Z/u8x59hs988Bb0/E7d/eeX b3Y5+ULgeiPTjs4R/b7x+pd7xvuiwua0Fy/WYrx196/OKd7dIZeA/6f7/vs5 tGLsG8Lj4WhHWbf404vnfyWAj7Y0xGXQjFcTygjMazkN2V52cczLcsyvnOYr B3Tt278S602OeriKQD/a0DXP79tUT64h4B/o4vm1191LLeuwfm3osYjItEeX 6wnoX138x39SdJ7fiPWqu9480cerRzOBeWlNS5xLQ/9YL6IGv0bN9aoJBT/E mhZpO+f0X2ZKIV5WFPrZDPHXCvW0OeoFS1rkdPXg3PNixGNLuvtC/rPB+RLU d1KaEbZtxnRbKTX4HaB3LanBL/GZdXDm7t+tkM9Z0Fbdal+d+mqNeGJBAc9s EM8saG5i9cnAJ3IK/rgF3UyK576MssP5YkE5HtsqqMHP8Hn8/fqhNQrkuxZ0 Z7HFi4RyAx5b0E4vn/nuNlMhnlnQqTFjP28KaEEN/cvxe2JLCn66lHJ8f/wd zgcpzdkyI+nh0NbU0P99Ts3eXGDjiPNeQkE/OuI8ktDs5IzvXP9xxPVJKMd/ FyecdxJ6KOdgp19nORn4HIX55YT6VUzV/vGxDW3bGPgiFWV2L0r8qw3iqTlt 6Jp4fq3IGeeBOQU964zrMaN8vl13Nugjuma0VrE90AXzb0ZfbMvtIVrngvE2 pe0lUX+PrHVB/mRKCzrH7xwTosZ5a0I5P0xXI76LKNdPf6gxPyLK9cxttRHv uf4zccX50AR6NMIV+VgjaR8mv5I01hXnXQPh+u4vV9R79eSlnm8+cKXgb9UR ri8s3FBf1xJJr+yow3FueL+G9Dpzd/X78W4U+qca9PBuN9SLVYTzrSduWG+V BPShO9ZjBeH8NcEd+U4F4XxuqrvRb/lU+33DnYPu6FeUA/8qcEf+VUY4P/3O A+uzDPR9Fw/UN2VE4T9s36eFHshvy0ifgt6ZQvZ/16A3PLDeyjBenhifMiJw PeyJfkAZWZQ94xDN88R+K4d4fvKkMF/KiX9/cqdE4oV+TQUx941yzQvwMvIH 4JteyK8rCNcDu7zweZWkFc+ftzF+/HmLvBEPqgnXI519kA/Wwn5m+6C+rSVP d6hTxad9jPl6o6+nEh/MTy3helLji3qtltyvNPu6fbpBT9eSr11H+8654Yv7 rSFcf7n6YXxqCOgtP4O/gM/3Qz1TSbzNNdvbjfE37p/z26/+yOdKCdPrhXkG PfyZXNDzf89AyulI9VtSkduYYT01EPn+K2J14Hb6kE2BWC/PyBEHq/GRFwOR zz2C9RUEUvBTHxCuVyVBiD+3oH78g9C/zCFcT/QIQj11gpy56nVj87QgzM8E 4cDl+oQF24Kwvk4JPP5Xg7AeLguwnyB8/10h9dQuaW7LYOSTeQL3G0gwhfn6 VOD6f3Qw4vFr0Edrg1GPvxGmX+jq6Xc+GPnjO4HH410w6o8Pwpwxqro1FiFY D5+EojqT/+U6hWD8vwjdV3wrtw0NwXiXCH+3eTmhqzYE81squB29+WXVwBBD v8DnJ4VQ4CcV8PnFIdj/lfD8P0MMfhx8/kQI4k81fP5aCPottfD8FyEYnzqB 2+GlIdi/9cKI2Kh/l0k0WE8NgsWcL9eXOGrQ32sU3kzPCEsO0eD+m4Xsn4u3 miRr0K8TMetH9ZWx32vQfxAx9YLEx6d/0iCemrC9m50yD8/VUDi/MWFBxysn 79mgwflownxChmoc9msQr0zZqt+vbpzzTYP60IzNtJfceZUWiu8Xs498/6FG fyqv07kNvYtCsb4kjFgG+44LCMP3Sdi3XzaeGzAmDOMtYZPaDhu4Y1sYxlfC er9pVOfcC8N4iNmQv3esba4NQ70rZgdL/B4OcQnH+WnOopdseveGhOO8NGM8 XgPC8f1mLNTCfGffn8Ox/kwZr4/F4agnTJnfgA/a8o3hFM6DTNgCwc07cU84 5lPErndYLSdHw7FeRGze+i12Y8+Eo1/SJJz8Uxt4+Vw4+q2NkN8L4Yg/9cLd Wx49bp4PR7+oTkhedjmjNisc9WiNUNsjzn/TyXDU19UCj9ehcJzflcKSFppe lTvDsf8rBMN6EV+FQascfvFaHm7wc6EeZ4ZjP38Tbm/fGleaEU45P3z3WTDE B/jrJ4HnO82w/w8Cr4cIw/oKBQezI+v8XMON/Xd8ImtZbB2O+jNfqGwIaHpf GYbz6rnA8/k6DPf/WNjyR6nzxuthOD/yoN6Ph+F6cgWe301hWJ+3hfpZOQmT 5oUhv7sG+/sxDPEsB+LVMwzxLlsYMHxdeue2YcgP/xZ4/jzDkE+cFg47nvgY LQ9DPDshDLc9ln28OhTff0xQ9F0bc3WPoX6PC31tFkZtaReK8zBbGPe+Z/C3 Ag3691cEp6CIA2ZrNKinbwmLPu2Pd5qswXzdgf1N1OD37wpj1ySbxidpkI8+ FCIHKe9ZajRYf0+EYs+lK/f7G/r5Jaw3SIP8KF/Y0XrxMLcIDerRt0LbV3uV G+I1Rvzb9rW5Y1qKBv3t98LkUR8nzeiiwfnwQRg9Irt4eG8Nzr+PxvXC9RfA k2ManKelsJ5iDf2OH/CVCyt+JHP3qkMxnpUCx5POoYbzFOGV+2DJukmhWD/V 8Lw1oYbzFMHGZL5MtS/UwH+wX0KRb9UIHA9uhBrOO4Rnd7o+zc8Lxf3Wwn4b DfmphfrvG4bzu1GYdrF6W0BGGD7fhPF6/SEM928C/ds1DP03U9Y5suDqoPAw 9JPM4L5tGOXwttWMTf1twtKeL0NxPpsxXl86fIN4mLEfCn32PUk17MeM3ZzS 0rNVk8bot3J8+aBB/8iU8XjkanCemDBef2c12O8mbM2lzke+/8uA9yK2K0k+ vX6+xuj38v4ZrcF50wz77aTBfmoSTJr7LmzU1QvUd4Ow/8quC4vsDPVSLzTu S+vXUTdf0B+C+rsfgnheDfV8LAT5cKXw/t6ModUrDdflgsez7uajfzTMp1JB e7rj/Ae6eQnnoV8Fvl73EMSHTwLnV03B2C/vwB8/FYz7yxdObdl24tKYYKyP xwLn087BiO+3hR9Xb10c+zAI93sc/fognJ+nCfipQbj+O4T70yWBhn4ij6du 0gRkBqJ/mk/ATw5EP6mQ1HjJNl+0D8T1FBHuZ98KwPOoz6SqfsH8wgUBiI8l BPiJ4bygFN7f4I/5KQc++Lc/1nMF8OPp/ri/SgLnF/7Yr9WE+7UNfjiva4C/ XvIznvfBfv2M54mr9OdpXf2M+oLzu9Z+iF91JESvHwp90R+uJ8tUS5+WHfc1 zB/Cz8vm+OL7Gsi+TZP9D3bzRf3QQPh50mEfxI8G4N+fvfF9DcCnU7wRX+sJ P48464XxrAM+GG3g76h/rnliP9SC/vjB09DPJEwy0Lu3qSfqt1py7+bMx9cO eBjPV/n+vvcw+pn8PELmgfynFvj0P+7ob9Yhn3c3nofz+LZ1x/OvBnIj7cO6 tk1ueP7RSMB/dzPwKfLLh0dxZsvcMP5NhNdfTzfs/2bC+a2LG54Hiuihb/P6 DfrqivkV0bfTLme1F1xRT5lQ8N9dES9M6K/x70afHuWK89kUPk9c8fzDFPRp K1ecF2b0N7YnrO9Pasrh1UGM+t4F9bYE9LC9i9E/uFq6ZOLC2c7U8PsS0PvO Rr/j1LjrmW+z2mB9WIL/MK0NntdYUj/TggMx2jaIr5YUzo/b4PutaKsDe6sm dHNCfmZN92Vsdbnz2hHfbw16fLoj1reMcj+6jSPyWxmd8HaA8EHugPflNGT+ 1K+XTzrg/uXgFzg7oh6UUzh/dsR+lFM4P3dCviin+ZWvfj0R0gbzZYN+izP6 xzbgp/zsgnxJRrk+naJGvLSmoK8NfoAV5edtYlecB1ZU8zzPbmaYK543W9IW cyf8++dwV+TTlpSfV6x3xfdZUn7+es0V57WUQn+7Il5K8XluqJeklOurH92o 4fc8I+TSpKOZbpT7hy8t4H1v3RA/LSicr7ijHrVAf8Md8dCCcr20zx3zZQF+ SIk78jMLCv6DBzX4yfx8ZZkH1oeEmjYdtap/6YHzUkK5noz0xHxZUI6X6zzR f7KgvP+rPbGecH3DvDA+FpSfr//rhec7FjSHn295Y31ZUH6+9tgb+1FKQf/6 4PstqJ3efxD7oj9lQfl52FGD3ragHO/SDeeREgp62B/xREw5HmX5U3752Iwa zkOhHs0onKcFYD2YUcP5LfBXU8rn0eAA9NdMqeF8GPDWhLY8VF085YThPNeE Ft198K7iRYBBX1HwfwKxP0SU47EmEPFNBJ/XzSOc54TXz+JA1EdNZHfiyKaa E4GIt40E8hOIeqSBDM2qbdkoDUK9W0/4+XpYEPZDHfolQcbzEsC3oP/ndwTh eU0N4efn+UH4vmr4PYd1MNZ/FfgLkcGIp1WI58HYP5WAzyuCUS9UELno+VrF 2WD0PyoI5xM2IVhP5YTzq1kh2O+lhPOx9SEY/1LC9cXBEJxfpYTzi39C0B8o JQb9DPsrIxdS0xf7VBn4Rxkx8B+IVxkx8GuYP+WE69NUjdEv43p7pAbP2yrI k53XcywWaTDfFYTznb0ajE8lPO+WBt9XRbjeL9Pg7yOqSUL4GaJ1DEW+UE04 /9XxRZgPNWR2u5Vvz04z8l3C+fThUPQ7agnwx1BjvgIWjRt82yvMeB7G46PT Q4bnP/pfwqGgs2EYjyrC+ak0HM/ny0nPs1OtPg4Nx3n2Db6v04vQ/8WE652/ whHfPxHQZ+HIx4oI9xeuhKO/+56UZjrfD38Sbvi9DTyvOBznaQHh+q/Z8P7X hOs1+wijH8X35x2B8+4R4fo4LgL74T7hfLRbBJ6f3yAhL2Yun50egc+/SLh+ nmZ43k7yfbSsy+SVEej3ZArhocuzQnZGYL0ywS7Ayv3LmQjEo5vAZ28Zrh8I zQ9zx3nkGz7/BPRHRQTqoZfC6Wt3E7daRiIfKRA4X3eORDwsFPaM37A6LzQS /cn36CdF4vc/gv4fEInz4jPoowmGz38V+P4WROJ6SgReH39EIp6UCeLeI08c PRRp4JvCVRdpzQgWaThPBT2XF4n9VAn+14dI4+9RZhTNPiOuj8R5UwP83ibK 6Efx+lBHGX/vwvMVFmXwt1FfRiH/aRCyynr3n9ovCvu/UbA8OPn1D2OjjL+v 4c9jhueZsAmK58nX7aIRn83Az/k+GvWwOTuaEiNSbo1GPS1mm34aK81+Go31 KsbvxyAeS1jOjdqbJ9vHYL7RLxofg/0pYXx9f8Rg/CWM68eLMchHJaxwd3ma 8+sY9GPwfmOM8fdNvL5axaI+ELNWT7xmdQ+NRb4pZlCPsYgP5mwZzRp793gs 9rcZ4/7Fm1j0/0wYz5coDue5iHH9pYhDP6pJKNH3U6s43F8D5F93jef7Avtr 0qln9nGox6qFwXo/xDrOcD4AfktzLF6Xg/9YFovzr1Tg8dKtB/h/icD38yAW 9ehnzFcsxu+jAH5XLOr79wLkJxbPf94KuVUHR+9aFot8tkDgeDAtFvnuS4Hj 58hY5KtPYf09Y9E/+Fcw83u95ZEu3lDPZ9EPijH83o/w9+vyCfhymXC/LTKG wu+Nb5GO1v2PLRDHoL7LJVSPt8+jUf8+QDyMRj6VR6AeotFPekycv7/AXsyO Nv4eEfzMaPQv3hK+vkHR+PzPBPxDw/1vhMfvt2j0+3AeXYhG/VdGAD+ikc+U Ax6SGON85H7Sjhjj7yHADzTUYwXg7/0Y5EvlhPtfxYb6LSe8HyWxiB9lhPuD brGI12WE+x8JsRjfUsT/WNR7JYTj47xY5LtfCfidscjniknikPg+6puxiG9F hONVSSz69YUQT119gp+SD89rH4f49gTw+Kc4nPd3iJf4qUPC5jhjfjdzPzAO 8eMi1H9NnNEfG6afXz5tkd+8Fvj3+7dFPHkvtNP7oyva4vz8LPB+Ftoa+ALW f1vkl5Xgj3vG435qhHS9/9I3HvGvXuD5XxqP8WgSeD2dj8fzDhH7xP2weNRL Jozfd2yHv5cxZV/1/lVaO8QLM/CHp7ZD/moOfvuOdlj/YnjerXaG81XG8bui HfajhHG8diQ4Hy0Yn0+U4HmkBfhDwwnm34IBXyHI/6WM84VMgngqZbxerhLU T1LG/chCgvuTsqunt7GeIor1JWU3rY98Ecsp4r2UDfY4kahypDgPpCx9j3bx Nm+K/S9ldUUPyheFUcy/lPmVzrYrGEWxHyxYxHW3uc6/UfRrJUzV6lirlaco +l8S5rApeWCr+xT5mpglqwdGfCii2K9itm5exkp1I8X+Nmdr+76bqpUn4P7M 2bEXudebnRKM/tzM/Vs33PZNwP4yY5LixhlbOyVg/E1ZYmWes3xsgvH8w3TD t87FsxNw3ojY8kddwy6sTcB6ErELr+q7tsxMMJ6fmLOp6ZcvJuC8NmEPzt7U jn2agHhrynyuVtda1CYgfzNnA2v9AuOc2uPnxayH2+ILjQntcf8W8P0x7ZHf SVlB4cx3369tj/6sFZud53FoT1Z79FesmfO3nktvvmqP67NmGd3TC8zMEpFv y1i25fyR3zwScX8yiHdSIvqbMjZuZnH1ix8ScR7J2Mc1m0j2zETsZxkL0q6M X7chEfmbDNZ/KBHxT8aa2hWoYy4lIl7JWMgkVa+MvETUZzKI1/tE9D9lbGTu 3a3TqhKRn8qY8ouP6SlxEu5Pxl6sGpe11z4J+1XGJuydJD+jTsL5h+sL+O/+ 6oDBQ8cNScL+kLHdz/YkfJyfhPmWsbi0rMv7/0rCepCxnCFr1+04kYT9bwP5 vZSE9W7DpvpIeyTcScJ6tYH1P0rCfNqw25ER5q9fJGH92kA9v0lCvixnZNvV 0gENSQa/guW96T44UZqM/qicsXCrWdftk7Hfbdn1fK/HAS7J2H+2zGvLhLdB fslY37bsyPG0E16Dk4G/TbSD96/A61I7Nqf5YM7ss8mAN70U0A+vkjG/Csiv SQrU1z0Fe/135d05binwvq8KdmBA3MLJNAXjq2QbDpfvqh2QgvlQstH1vU91 n/LfNY//ihToHxMlazUuO5nsTAE+XKOAeJ1JQT2hYFuCln5YcD0F+OB7BTsz aKRs+dMU8KdeKdg3RfD8tI8pGF8Fk290+NekJgXxVAH1J9bC/LqlgPcptegX KQAPArXYLwp2KvR15fH+WpwXClZ8Xt1n4y9a5GcKiP86LZ4PKtiT6KHLK/do UV8oAb9OahFvlOzDCKXvu4tawOO2Slb12+WreVe0wBc6YLxuaXEeKaFe87XY b0qotzIt6P1MJetW3bzHwywV57+SNdj3txqqTAV8LVOyt7bmDaHqVMD3Fva4 v1Tgc5H2gIfRqZhveza5cU7c6MGpgC9n7Vno1i1jk+enYj2qoJ63pkI8u6lY jLPmSO7RVNQveP8ifn69ip07OTkm/loqrlcF/XM3FfFYxbrcnra6Y14q6OOL Kjat5+rRDg2p0D8VKsxPGvA9yxasV2f5w0fqNODfihaQH780XF8LdnlZqwMz NP9d8/7vmQb8946KRZXv31jdLQ3xTcXUDs+37YpPg/6fp2KddpROmxSRBvP/ JxXEIygN+YsK8NIHn9dZBfl3TwN91F7FNpmZ3j9omQb8zkzF+kzb8PFocyr2 qz3Mt+pU4CMP7QHvSlNRX9nD/j+nAv6ctmc1Fzu+PJyH+Zxkj/WfCvXYxR7i mZ0K/R1iz8pHxR+rP5OK/NYe4nUsFX6/JMbnH0pFP1EJ83FtKvIvJVvQ+9y3 kIWG9ynZ3R8uOGT9kop+mJKN9Xp5028y1keUEuIzLhX9DyXMxzGpgPf2Sjbp Qa3H6q5Yb2cUrGViVPDIxFTQa8sU8PmYVJz/2I+hhv0pAP8CUnH+KJAfpIK/ 4quAerPBesy1g/2Y4P39iGfVWtAnK+yY0+Xbk0q/aRGf7WBef9ICng+3YzuP Ovvb/auF8wpvO2aXs6P42VUt5tMO+v+8Ft9nyzLFgf1yTuDn99qyExb9Xj85 qMV5YQvzKdPwPlvgP6u0yKdsIT9ztIi/cvj8VC3yPTng7zgtznc58h8tnt/I 2ZKD153eDjO8X84e2Tyd7KTV4nyVsxmzW/5aHqvFeSCHetNoUU/Lkc9o0T/G eeKuNfjhrN8uJ9FSuRbPa+RMNHZ0lFKkxX6Qs2fDP+y4W4H4O1gO+y9OMX6f 3y9MMT7/0KKcLZ1fp+C8l7MOU8cO23Q1xbg+jt9/p2D9yYE/HUlBP1TOApwk 3ucycT5MkwO/3P7ftceEj7d7b/nvmuPTrykYfznM859T0O+Ws9wViZq1Y1OM 8eB4N/y//cRPJs/nDUpBPipHvpOC8x7ncXQK4r0c+FOQYf7J2dbv7ZoGeaeg 3rIBfHJNQb/Rhg2bwSZclabg7wtt4H2NyYj/NhjfZNSDNlA/X5OR7+D3i5Kx n5GPPEg28iuOV9eTUY/IoN5YsuE8BerjXDLyU2s2zy/sad/MZNyvNfCDPw3v swZ+tSEZ56sV1MOaZOQ3VvD5mcnoB1jB+icno59oCfU0Lhn9DkvEi2SMvyV8 vlcy1rMU+EzXZKNe4PUVl2zw/4EfRCYbfi8L/eiWjPGVwLxtY+A/EpjP4mSj //N/pknQeA== "]]}}, {GrayLevel[0], PointBox[{{-14.612662241824916`, 0.3926968066063495}, {-8.32947693464533, 0.3926968066063495}, {-2.046291627465743, 0.3926968066063495}, { 4.236893679713843, 0.3926968066063495}, {10.520078986893429`, 0.3926968066063495}, {16.803264294073017`, 0.3926968066063495}}], { PointBox[{{-15.308402189963516`, 0.07271751909094519}, {-13.795798634519034`, 0.7350878694723261}, {-14.566745369966853`, 0.865221158707783}, {-13.962735764304803`, -0.2334852341993026}}], PointBox[{{-9.02521688278393, 0.07271751909094519}, {-7.512613327339447, 0.7350878694723261}, {-8.283560062787267, 0.865221158707783}, {-7.6795504571252176`, -0.2334852341993026}}], PointBox[{{-2.742031575604344, 0.07271751909094519}, {-1.229428020159861, 0.7350878694723261}, {-2.000374755607681, 0.865221158707783}, {-1.396365149945631, -0.2334852341993026}}], PointBox[{{3.541153731575242, 0.07271751909094519}, {5.053757287019725, 0.7350878694723261}, {4.282810551571905, 0.865221158707783}, { 4.886820157233955, -0.2334852341993026}}], PointBox[{{9.824339038754829, 0.07271751909094519}, {11.33694259419931, 0.7350878694723261}, {10.565995858751492`, 0.865221158707783}, { 11.170005464413542`, -0.2334852341993026}}], PointBox[{{16.107524345934415`, 0.07271751909094519}, { 17.620127901378897`, 0.7350878694723261}, {16.84918116593108, 0.865221158707783}, {17.45319077159313, -0.2334852341993026}}]}}}, Background->GrayLevel[0.35], BaseStyle->{ Thickness[0.004], FontFamily -> "Helvetica"}, Frame->True, FrameStyle->Thickness[Large], FrameTicks->None, FrameTicksStyle->10, ImageSize->600, LabelStyle->12, PlotRange->{{-14.03, 12.03}, {-3.3299999999999996`, 4.33}}, TicksStyle->10]], "Output", ShowCellBracket->True, CellChangeTimes->{ 3.445816075279006*^9, {3.44581612378935*^9, 3.4458161412570963`*^9}, { 3.445816171859963*^9, 3.445816227882695*^9}, 3.45137402953125*^9}, CellTags->"Section4", ImageCache->GraphicsData["CompressedBitmap", "\<\ eJx8XXWAVNX3f7uzHcTS3d3dId3d3SkigoiIIiIGiKACAiIISAhISQoSgrSI gCJdS9cutbB1fvdz3j133pvh+/tjiJk3b+69737O+Zy8LfuOGTJwRN8xQ/v3 zdv4rb5vDhnaf3TeRiPfUm95AiwrsItlWRvzWkHq36T+6fyD5I+u+COAPvus 1ive9b7h926g/W7Xrl3L4g/LQ282f5POZjhLqVaqFaSuIfWe+jf9l/E/mlR/ khXO14XQoHaDaFbVWfRH7j/oRvQNSvAk4Lqs/JUwSgpIoschj+lammv0Z/Y/ aW3xtTS19lQa2XIkdevcrRzfJYi6d+5OU16bQr/l/42eBT0L1j/4LPgZbSy6 kV5v9bq6lz2wOVXm8B1xRaC+LsVKof159lO/Dv30wDzUo1MP+r3cOkoNfqn+ h+vUXYNfErXYSClnCtGpU5npvfcamokMHtyGvv22Ch08mItu3YqiFy/UhFOt rLxAaiJJARQfH0pXr6alo0dz0M8/l6BPP61NI0a0pG7dushEevTopFa/Dv3+ ex56/twTzN/20JMnIbR2bXEaOrSNFaoH2LVrF/r++wr09GkwBqiuC6bk5AD6 7bf81KdPR/qszmd0Ne1VK1gPXq0L/VT6JxrQrTtt3lyGEhM9WACyH14ArV7d 3vkgS+ufeb3l6/Rfhv9cDxJPBUvdt31fPZwg6tuhL82rPI9OZz5NT4OeFuJL Q3lpsdyX012mvXn30oKKC2h8o/HUp0Mfq6j+qno8NLfKXDqW/Ri9CHxhDziI t8u/mf6lL2p9gQcsDxC7JS40zu8BHslxhAa0G2AeIPbEbxVWU2pIgvcBhj0n GvsZvXwaQtu2FaJevTqaCfTv357X899/M6qlDyrES6omkGLR48chdPFietqz Jx/Nn1+J3n23MfXu3dFMYOTIlur9yvTXX9nUsgbaTy2Iv3ryZBZ+oOoZywQW LKjIDxQXBeoHh0v3789Dfft2oDFNx9CJrCfMg0sKTKItRbbQkA79aePGcvTy ZZB+4NgYkSQwDqCiRTc4H2FJ/YO9O/SmI9mPuB7hy8CXtK74OuraGZvXnsag toNobYm1dCvyFq7N63gOGMMLzwssdKR+skDqzaib9Ge2P2lNiTX0ee3PaVTz UQCOlZPvGEz92vejD+t/SAsrLKSDuQ7iualv2iMA2peUXUJD2gwxzwzg9H22 +Hm1HK7runXpRusqLKOU0Of62ap5hSYQjZlKCfFhtHJlaXmsQ4a0VqtWlO7e jQAe8+pno/6JR8UwVYsfoWGKt9XDpxs3ohVMs9OqVaUYpm++2UJhs7PMa8CA 9vTRR/Xohx/K0+HDORWyQ6wQx52vXUtLCxdWoEGD2oW54FoRe0k/vRB+6keO 5FC3a8eC8NeCv1JKQEqQfvDY1b/n/Z1Gtn5dobOsGmuwefDPnoXThx9+QGFh 8QJg/I79783874z0VrO3aG6lufRrgV/pr6x/0ZW0V+hexD2KD4mn50HPATbe CHiy+P+TkCf0MOwhP9ZzMecYkBuLbKTJdSdTz449++qp/FLkF0oOSNbPx7Gf iq3Dk1Ej18Kscw/G+60o3k+FHTL9SfATuhtxl2KjY1k0xKaJZWmtLovgyyL4 uUNmYZ+cynKKdhbYSUvLLqWZNWbSxAYT6Y2Wb1Cvjr2i+MdCqVenXixI3m/4 Pn1d/WvWFCczn+QtF+bYyVfSXaFlZZbh687dhHEqOWXmg0tPZT4F8afGYl/3 Sd2P6WWaB47dqZ5UyAuiN2bSi8fYdaUESj17dqLFi8uqXReJDVHYoQUA/Tt3 Iuj69TR0+XI63mrYcuoyexfyPoVYp9jYaPr77yz0668F1FYrRzNm1KQPPmio lEYrJbo6man36shv4aNvvqlGGzYUpdOnM/FWC3PIIoiwxYvL0fDhrczUu3Wm pUvLOpSIvSuPH8+mkNOGheii8ovwvEQs/5XtLxrbZCxNm1aL4uKiRPU8fx5G n3wyjkJD46lcuR/4/n4bc51Wlkp101fVvqLj2Y7T/fD7lBiYiBXPgJ8IZDkV zJvzTsQdOpr9KM2qMot6dOyhOIc97Ok1p/OGde5AbKtfiv7i2IEeervJ2yyf 1GdWIXNzWwKF8zOGtIGS2Z1/N/1U8ifalX8XXUh/geLVNBT+rDR8bQhjESPC xgVE7kTeoduRtwMxRLUomARQhQ2roBGl1+pR6CNGMPas0k2ykdS2pZ9L/Iyr /Tbc8JbDzYYb2HYg3cx/ghckUFSYJ4lo8Lf0Um24NWtKQK6Y6Y4f35AVjqIB ViFbtautFMpPKJyf66NHYWprZKZdu/LTTz+VZI126VJ61nDqc0zXbBeIxifq sT94EBZIt29HBmLbqs8ePAiHwONNm5xsRemv4G3cdvr0mtSvX3uZQ58+HeiX X4pQQoLHb4eBM6mrFLA+oetprgdqzYKlUP/iF0TR53U+V8ynldLMefQtgpQS DFY7cDSFhDylsmV/hHzt6rfd1mg0Tmg4gbctno66eW69lKzY1K7Bs9yZfye9 3fRtq70e9pDWQ1gwYenlEWEP4LrunbqbJf/otY8wdL4uHV+XVv2Zaj+mKEUz M94jynWVqNBZouKniUqeJCpxiqjIGaI8l4my3CJKE2fLEXWPcL3fUgOTKSUk gRIj4ulx2CMZur11I1kfQ6zuy7OPZtSYQaObj2YFjF0Fngyhqb9iZdfThZS/ EHOBGTE41eA2g60oYXlKch7IdYCB4tyRULzDW3l3ZNcuXWlH+TVqeEneHYnp 1ttJyXfT05YthdWVnc3yfP55bbp5094i6fjPtCzdkpKC1J6LUvIxo6LEuejs 2UJqXxZXu7ekYtYl6MyZIko45lFMOovaa9H8uNX3sDy8g5KSAtX+C1WfRfCe 1gLU3uqRrNkhV/fsyUtffFGTRo9uxvJq3bpiTNJu3jQyF8ujBVgQnTuXga+Z OrU2dLdZnpEjm9OxYzkYWM5NDCY/eHBb3sSjWoyCwhTWBnq0oswK6qlE3aZN ZdRXAzXbsynCxo0tKDr6IRUvvjbYsXkjIu7qzfuTLKF6rNejr7M0KqLlCnYi RM62gttoeOvhrfSlG4tt5I986RMEHKixPJXpNaazaMUVURp0/BSj44lK/U3U ZTnRVyOI/ixHlOTRUkERnBvZiFa3J3rrC6K6u4hyXIdNFCq4DUih5KyxdK/4 YTqafx/bepCX2IQhfE0MDwf2AIa0stRKGtliJK8euMKbLd6kKXWnsC0A9X0g 9wG+B0gCZC4IAjSFmqJHjx23w4xBR7C/cWvwisvpLzN7gUKYX2k+ffzaxzS0 9dA0wkyUcfdt5W+ZdqhbyI7HXQ7nOIwr1Say1woDepnmoVvpZ7tBqXtr0okT WZV8ay/LOnt2VQhLXqwobT7gUcfFpVG7rgwtWdJDKdU5VEotcWBgslpWi7Ge M+c16tRpJc2c+Qbt3VtLqf3sagcHhepbqJ2jCGV2RTSL0759een8+RhmB9i8 NumM4Z+BeQmrdNmyMkrFt7SXVdmTo0Y1Vxy2Ls2bV5nWry/GFurZsxkZIA8f hikqGcR4Uhvao8eO22F/w56EGsCtQWXAIEBYQahxu8mT64EmyLIqTsImFOzf 1FR9t1BmPfv356aBA9vxoGAVbCq6CULMElYB+39Y62EKpTUBahHzkAHlyx9T S3SYOnbsFaR/qIsSQxUrfiemTwAvpA2b5fphKOnGnBcSrZSD/yUGJNLF9Bdp ZrWZTR0sAfvLySag/yfVm6R/z2t5QqPb/NQh/GLuEzXZQrSoN1FCqJYo6tHc Utb/4p5EPZbYsj/8Ga4PFrgokZ9Q/ATtafotfVX9K9qTbw9vdUWltZEUzOrp dtRtls3fVvmWBrYbaHsyAiGKswrb7NSTtcCZTGfwDbHxEoISaFORTTDNzXbu 3bE3nc131EEpgmy3xsfjWYOPH99ItvN337G1ojmpLSSxMe7cycTSq3v3Hyk4 +KWarsVjzaGkQb9+C9T+68ryWzFCvT9DmR0eO1aKZs1qSl9/XZX9G9ALSlBr oR3MQhvvwQ6eNauqulc7M9euXbKaPdZRkdyqLKrV9gzSP/D0aRD9/HNxmOW8 x8AwwekVKdPzDHPxCiz05Ncmg6kopZMbExPpnJAQSm8oSh8ZeZuaNn1blqOs sj2ClQSyLOMy8e66/HxRNPVv25+N2N35dtOJzCfYBXY+5jydT3+ezsacpVOZ TrGjAp8vLbMUFpr1tv6B7yt8zxwSjyaDkW8pSqwmU7J6lAmRj+h+1B224k5m OUnbCm2jrYW3MokGTVJPPqNjo0MMwtDp3rF7A/0L8NnoRTD6ATLv5+I/uzb6 e43eo7uRdzVN1psE38t3kWjcJ0QP00VpSSFSIiEhWCniSMUToxRo0yqzJSuT AXhZTpzIxu+npARE6jUmpfPpg0lEFY7CKRPsYOTJ2a/RmddW0ciWr9OwVsNo eenl9E/mf1i0Y2lCNUOCxakYOIv5ZaWX0bjG46BFsmoTHUbdu43fZbYDMQ/1 GeRYHjCk2VVn4zpby4cpq+ILSg57ZvYIT7nxVkp+FAWhKhth0qR6LDdtVi18 OYA5zMSJEykq6nEQb42MlMu6Qq9bX9GPynLZYb1Gf1hV6bBVSb0qqn9XoV+t evSz1YbmWf1oeOAXVDDsT0qX7hJlVbSrSJHNVKjQdvXvk2or3lF3TInk2wZR PvUcYGtBqbx4ERJsCH4AXbmSk1asqEfDhrVWNmELdmCcOZORibxXYdh66eVL G3DwYMAIfPvtpgrUnS2zhMo4fO+9hvwccR0MhCAHhYEv88svqwOdgfor4JWg w7KETssF+nlF6RWsfIHvhIQQFyNas6YdhYc/VoJ9gSx17dqfsUEpmCMNvCdW pAZeTvEjtxnE2/hqmqtsp4EUqB+PFjqtecJzz3O6mO4ij0NZYSP078B/hf2E i3OJtFDAeB79gP5WSgTQHNdoHItgWIoKbhkce+lB+ANaWXIlTNQ6AqGG7zH3 8aViUD0Q4gI1RcvYu4GFCnNCDXbBe5OJnkZk0c4DwOzevWj688/sNH9+RfZC wuu4d28+JZMjDbT+Vupu0FyivJeIxJlku1NS0j2gi9U20RghXepJTK01laWR 1jxhjsuhP4AwuHR3FNjBjoCJ9SfCIKD+7ftDxoZp6MBPgLfg9p9ZfSajDl8D SVUSJkSvAKzt7QW3Q9MrYenVSBfzH3NrpHQPKfW3urxz+/ZtL4s1dGgbhbIM vJFt/BXgnXP9eg61UScrY/AFNgkVsv6j2dYQOq/k8vOAUEooVJSetO5AD0e9 S/emfkN3Fq6kmz9voxtb91HszkN0c+12urNgOd3/7CuKGzKSntWpT0np8YQt NSxlraiBPVD2y26rJg0OmknZsx6iKmorNFYip1KlBZRHWWEREfcswWelSocV D+qrWFtOgDLI4da5ezeGNmyowdjEIwBl+vLLGlohRkMJhjkuh1ECNnXqFLxA BZldffBBA8XvWrPqMm7lMLgn2S/51lvNlIqtRps3F1EWcybW6gq5wQ6kQXpt 2lQEpotHLy0I8vkM5w2rwTQgWUe0HCE6UjgZ9H+lSodYSBlO5qEWLUZQ+vSX 1CWpNlbVpUFWEi21unl5GjuqGbgiZJQxTatLrKb7YfcFtFYWB7bAgIDYqTWn DnYYoeA1oHaZcSlIW2qkQ4c8D3vM0YaRzUcyEQQ5gqqEWYAfSO/4AThEf4DD qkvXGvoH4ATy1ZMYB+Av3lz2nimSsVmJabXDNXjVSJThzrbRsfK2xRsIKRjl 8C/HxYVzkOb111uxmP7qq+q0fXshiNMIwXCies0eSlTlIDwDTr2VkvYBnauy mUY1G+XRSzi47WD6rtJ37GGHUwAEMtrhs8DQlfBVI1EWlOaFcCBAJUY4LEp8 d3PhzbDJ0upNNUNZismhPiqx6zIOoKhtK88ee2/nzgKsIcK0DZ6U5FHavxGV KHGKoqx4peP60z218k9r1qW7M+fT9YOn6XLsY7r0KFVZQpfiSC3XpYcpdPla HN349QA9GDeRknLmNiB8pu6806pLlYN2K724jdqo59qq1etUrdosKqCkU5o0 sRF624WGJtCbb36pGGd5eA6cOuvePeCvqiJ4LWX54FqCs/7w4Rxwc0EtYvnY zQ56A/NFGUFYvmfwkiYkBPF7mGyE0f8W21MbNhRTz7WlrAscT5Du3o3kZqHg aNNrTWdJAOvxxYtgp0acN28gO7jq1PlE7tipUy8WN4oNGJSFWgm01mqtniED LNAXapk0uQMlWlViFT0Nfur1JaW3nylMgEy3iUr/RdR+FdGYz4k+HUs0vz/R 8k5qMw4hmjSBaMA8oobbiIr8a7utsNsNKbO327Xoa/RhvQ/V47aHjLAAtiCu sLdlJvs3Q59Tas6rlFx9Hz3ttpSuj5hB+974khYP+YY+GTiHhnb/gTp3Xq6e z2z68L1JtOKTt+nPj9+l2+9MoRf951FK/e1E+S/YgR/jYrAFwNOwOObH0ElY 3OGth9MP5X9gtwO2fXrHeC+nvUyf1v5U0TF7vG81f4sehjotflt1g8v3bt/b qG44sOGSEP8Jox8BxmGziJ6FWyLH1ZfV/9XrinrtUa+56jVavTqoVxX1yqte 0fxTTChD1H/zqVcL9RqjXt+q1w71uqxeLywHiwvXwjyc7fHevdl3yRFlsDlR lBF6K9POekTNfyGKfOIiwkkx9+hwlZ8R/QvWAQXEcuF2gvcEWhzbVAfmtWVi Myq8B7a3K98uvl7ZoemcdmZeH62u7OTU32twSKN7946yjvPmVYJ3WBNTW04i rgn3bmRwPH1v9abH2QvQvU9n0rXj5+nS/aQsLC/SQnbQ5evxdHPDTnrcuQel Bnq0wvbQXqWsiwYfo+KKFXbs2JPXpkWLUVSmzAqKibmglbWHmjXbpMRvQ0TU XOz21q2Mij1XgfaTdYEi/OKLWkyI//knkxImERLnx7qw0S9aG+R4x44CiqfX hXgM0cIGPg4dO+MXVIcQZDBQMFGEB/r160CnT+c0/m44QuEIyZHjsAJFtyA9 onLlFlOg+pqdk6HgaCXTaqsdRAG7MkQYJIVH6H9nEIVf52NmZ3awxeHMCH+q rLIjRHMGE13PaW8fjiMEaTudnihttqc2kcIlZb3B2At24AT0e1PRTeqp2b/0 ZY0v+T3bc23vHvxSavoHlNhkE535ZCz17/09Zct2M0I4fqptQYUqqR5P9ert pCXT36D4ie9Taq092MF+P3pJWU2Kc1uBDvfP9xW/p4sxF7WL0+OUvMbPA3/i 0RxH4Xu0Kujvri652s+N+ir137d9XzqT8YxbAMDHM/5jBfoAjdJgWwDcU681 6tVcvTwWLwSWlbFs8VXZ1CfvqNd+W1xgUwU71BAcHmPHNjEzHDq0NS1eXF5t tHRWpGD8j2qU2nyjH8YTsl+hddUXwj626WImVgYg8tNqTaMVpVZwjPhwzsP0 d5a/Od8DwQ/YyPADgCJJtPZchnMcS0HkASQMThaE+JE7k1GzBvhMk8KeullD jyWUqAx9B2uAPxDBJy/wQzko8O67U2io9Q3dS5+P7n0yg66cvcUsIYZR76GL CvXqX/y/cPnz7ku6/eNaSsyZxzAGUPbB1mzKpIR+8+ajzMq1ajWCypZdRtHR sUYKYI9t3dqInVZOKXDhQi5lZFWHLWxWTpnFSsdzYOGnn0oxyuEUhViD0JWg LjIOICHwN4K9+AzBh3378tAvvxRluff++w0QITOBBqyshNZFLBzLcYyD3RBg CK457WaY/HPmDKGgoOdOltCq1VDwIa/dDC5iTaIkrWWCHKKh24vB+t/pRWEX VQrbjsiaXcSPEO7+OYOIUgIz6A0HuQ0uZN9Pk1c4IDc3Jaq2H/xAUApEHcp5 iOOz3RxRNkTf8EtOj2pqzmt0f+wU6tFlCQUEQOnYcwhSzDVALY93XiEUHJxI bdv+TMc3NaYURQtgOxIEiBf08I59XPdjA9x3mrzD7OB50HPj32LWoIgRwsqp 8nX7bTjlEKvo1qmbZEX1b9efXQ1OUQJ0IGLrFBHfVP3GOBbECGaOAC+aEhFi lanVUftZvV5nIZ6Rn5JHDQbM3PI+M3w9j/r/D2qHx3vlg20Ep4FpaH76vfca KTOjAFPXcEeaEUIHCb/WplTQuJAX3uw8ZRHcKXScprz2sVVK3wNm/aFCu/xs c9pfnWMBDtscuS2yE0L0n9Di70+YyBopXtnf1w/9AyBnc+D4zO3ndOFhikK+ /R40+vXD/9DTlu3NXsUYP7HGsmdMmdwywQYNJlK+fHuV/ktUE7R90IoWqw3x RF22kXbtqgP2r+HsQUhF4bQITZxY3yqk7/FBgw/oZNaTDryFcIYIItISPzlw IJ/TPXz7dmYlPY5Txoz/UocOPYO0A6pMmWWyNflV2TpIj6y08tRSQkLp5uot NO3pQuM9JiHoaRz25LFsx1y+SgaeYsm0siOAZ48iAz/JK1fS0e+/56UVK8rQ zJk1lDBpyJFOGJaDBrVjVzmEFULwcBhMmNCQZs2qRmvWlKQ//sjD6SXQMrJA cAsg0uMCc6p6pEu7ExU470QVwAxHDsbdyWGW78u9jzdLuBPMyq64P2oqtWy6 kcFsAzdG/ZnEDoN8+fbw6tWsOYMaKoOpWbPRbNi1azeQzR1Fd9RC91XvDVef f0BVq85RRuVayp37AEVF3QzSskGRBgoLe6AMpif8P/y8x5NMAwbMp1tr2lJq jX3wh7myUWHxjms8zqvR1c/ATLgdedtYxn9n/ZtzSFyCwV4BKP/3G7xvlZAA kTJFxdJxWg5IqnNKBZDjfzL94wiMejA0O1CU5DEKiIlDrHq9yVKBCZ1auKSA ALoQE0O78+enpWXL0vSaNWlCo0Y0unlzpdJb0YB26tl36qS2U2elljvQ6+q9 iQ0aKP5ShdYVL06HcuVSM4w0W1Ot1f3wcCX9gvmJsZBpoH7xsBIyKd7tIUJm 1KjmZiZwOP34Y1m6fz/CxObt7I6sdPzPrJS4pCuRoq1KD8jCJUc+pkNlN0FU WsU0YUA+0fPo+27C0Go9pSSEqNuXERkD/n3hQnqHjAnm6Oj3c/rQcY8axcTP 4D7QpCCGzt57SXuOn6OfNv1G33y3hD769Asa8854GvHmWzR46HDq138A9ejZ Uxkj3alP3340dPgIGvf+h/TFN3Np0cr19Mvuw3T80r0gLZuUnMJ/IbO0vAqj qycvU0L5SiS4T1BDGm59pWTVZWxiWae2bQdR6dI/qQ36SMuqEIWFFMqe/Shl zfqXEqTz6MSJ0l5voYcePYqmdevKcRgsr74NxJLbnxDCJB4hJxA6iKwJExpQ XFyE04+wVAE4KOgFQqZiOGBAadJcM+IKPoSDygROtR8/M9LELNno3JHj1Dth BIWnRpKJdjlll7hxD+Y8aHxmohE5qeXdyZBbRqBgB61fX5zTJ/v06Zhe+ybA BeEBOX48O9SIpDmCS4khK+/R7SxEbdewCWDSWQNewobnm0kKzyd1PjG615kB mFz2T/ps4CzIIvGgpEt3VYmUNUqlfAiXpgwKLqbKledyCEY9LY9tnSjjMUh/ L2fO67RtTWtK7fs9XChO0fJ7nt+Z6hhfoXo8cENeTH/RSEfJO0d6G5LOnIQL 90AAYVXJVUjSLexQEUjKceYlgZ+83fRtl4jB5GGee/25HhtVAOPVXAbUTDxg cWSX5x6khpiefipVij5o2FCZ9J1kNYa2bk0LKlWifzJnhszwaFFxLkMGupQ+ vZujpFeiY5lFKUle8QGxABc2EtZklN27d2aNpIxlLT5CmdLu3p2fk+mvnstE qR++bzNPx4yxOA9znoNpaRXWMuSX4us4A8XIENCsn9tyRsYbb7QQGQJnOwJf 2jQjiWof2F+VTmQvQ3e/+o4u3UvUAA9mkgIZ8u0PK2jMuPfUkHtYsiJDhr1O X81dRLv//A/XBTrkxO5j/9GBf64qfNpyArzm5vodlJQuvbFP4A3Nb52lokU3 et17PXjHRUff1HIiVPGbJA4EVqo0jzJnPkdTpoyjmzezujCBRfv339z02We1 dZZPCLsREHA5nv04LS+znK20Ph37iIcG2TY/lv0RRp5e11B6FPaIlpRbwl/l KHq3LsoqKsI/JQCGhdagwa8cHm/TZqjwH8RDApTuE4HyljWNkq1A2VNJadPR f4eOUMsXXcmT6vGQRf6yRJIUthXYxpFvr5jLbG/eqHiita35+WI7ITwE7TNq VAtOJIIYRBYFIu5gcVfTXmX/1LW019iehfcPNivivlA5yhyOMIqsHX33XSVk uTiMK6Rn51RcKbc3OUb9eU9ZP802uSDIpS3Kagbi2zj4EBiCN7SXmdP6XjT7 hZrU2aFXKkU903+ofPnF1LLl65yrA7sQtO7ChRimePAkQWoiqRzy8J9/MrPD D6m+Y8ZwyDbCoWYqVFhE4eEPjN0HNZMz5wGk0Fgit7Jnj6XdWxpSaodV3hih XS8D292bCxDM1TaInzsjuiEiv9StEQ5F1A954rCnRNjAioW5N7TNUKuAuMMb TEBtiB8/QnaLU1ZylmGBHW5+BLNjUzN5BupPtSeS1IB+VK9ge9MpaaPYfFZa WLEiDWvVhplkxYrfK6a4X0nti0rMX6G0ak+kUXsirdoTUNKZM5+iYsXWU/Xq X1Hz5qOpS5dusppD27RhfhUXGqptEWXsKga+P08eBarsXrIUrfD8i+Xi0kic gXHvlMkoAZgxowaCDHqP2aRKr60luSxIxkJACFmH27cXpIRThYjwpMKeG4WX HP6Efiu+GblUVj59f7hzHsRcdy0vVT5EqY/SIjPXOK6BauRjeT3JdlDvaN3y HB69dPdliGZQ5+4l0tb9x+nL2d/RoIGDlJppSgvLl6eDikJCTVxJm1ahS+3P NGn478vp0tHJLFloraKZM2rUoFEtWqgn20VWdMiw4TR38Ur658YTS6QlSNqa rXtp+8GTXml5P5Hi+g81rArScoHVV9Gnh9SkyTsyEfWslDUwiyIi7juk5Usq ojDeXO3JfPl2UcmSx2nDhpbIkzAPJz4+UnGQkux5EafQ5HqTZY9bkoiM/X1V UQPkzYifa0ibIdifpmgGjsZptafRdiWhb0fdlucDdxksCSVJzU+89VZz9ezT Oewrj7LQX1OS9AkVLrzZEm7WuXMPhdBjbNFYHBuIo8tWHuZmYhOnBKj127GX OrzoA3ka7JCnOY7m0PJUsvxnVptJyYGJjrlF2PI0vaLcu2vzpOGpWjevLv1Q bwYnXsIto2yZaE1HYNbAOYWpKg5iquSUfbx0aTmkl5gpQbvu3p0POYZemnG6 uDIhz7nYITLx3m30Lt+ppb6fsqYMZwvVI031JNHTPguUjDzKyxEZeUvZgd8o +VeHDh3Kyf615OSAaL2TkUYGdxxSHhXiZKSK1jEDD1IySkQj3En58++EFWqJ GVmx4hGK3VkHCdsuUxE5El65aLtGFlZcyAlmkrSNwCoeOrgeksvglE51u6Kg msY2HWsYPaLSvqFm+KS/qPmFS3ZwKUDUTX8+13sRO5I8EmxKVCv0iWWQE6uA Ob9kTapfdgblyHFUaYZ7cFNE69kGqp/Knfsg1as32eR491Um49oSJeiFx2PE nrIN6dcCBYBxr9grZ9HzK6EOiWyLMzsH3LtS9h6xa0zCdXwHTijkrkAkIkf8 utJxqQv72Gnx3oRc5OCcyf0nvdHiDSu35nmoGYOvyvA8ZNp/NYIDMR9//Jo3 V6SVskrDHTzP9pYe+aY8PXx9NF2+9dyWNiH0x+kr9N2M2bS4dh1l6WejB8oY TrE4Vok5qXWgfXnzwoT2rpGyHJes3gT5aATZqdh4Wr5+Ox05e1MLslC6vfRn Sg0OMY/jnpKpaawHytj42WRjY2eWKoWdmaClWBgnPSGwDRJWo8ZM1lhIHb5w Ib8zsxbG7+HDeTmNAAQI6f9wLHhTSEN5N8FGvBl9k3cQ0kkBbrVZTaYHBB2s ihk1Z2Bje/RSr15dkrOOZK2Rhd+nz0I10meKAk4Q6te8+Ug14DhD/QZY8xX1 CxAD4e7Ur+mN5+9TcCqK5CzeJzEX4P9h5qck1rY/TmiJJcWtA9sMpLjwBw7H Y5hXYh2szKM5czIrbe3wGbM7dV1GvWfuR9znxHvUIQr44abYtKkop5uKmIKM gMWpNolXTC3oR6lBTkFpo3Zh+YV8p+b6fnvz7DWoDdHD4zhLi/VUosgpXoVc uY4pbd+SQwHqkWXUP4EMAxRhdevW2QwPtA0MP4CDgTYy8yj7sVKl+VhYI5tG jpxByV8Pc7lt8WiHthrqQhwSrJGBlcieUXuQLHgU58WOQqEnYj3K/nTKJtDl CQ0n6Jw6D2dfYqc4hTYKsXF7p2yaUmeKEdpGNmW+gxQYh64Ls23N79UrwNbo x7LmoAEFxrMlYeEB2rOMjr7BWVVdlJaVFYLtCXdXilGBHtpesCAtrFCBnoSE GJn0eCyKPzwumYT8KdB75wrB3YDUVBR0iExCshRUNFYIgEKFUsrlXESdV2DF nVT/SrZ/aGzjsVZ2iTa2HUzXM11w7Jsg22N6LSfT+N69OzjtT/GTi/v+9rXM 9LBjHbp6Jla9B8kRxEbk5t8O0qauPeheREQmPcGrimTNqWKnKpjFGT6C1v26 HyaoEUZwX83+/kf2VQWLr+rUFUrKlsMII0SDali/MyXu0KG3yKM2iuHkz78L tgnwahEHyVINvJH31VLHo1q0eEMx6NNUsOBZWru2DfvbRRXZ5c85lE3TzPal K1qDjFwwKWjT62mvQ/BE6vV6GP6Q30b64IB2A2S9hg1rpSyg9C6nNKqEMmW6 zb+sLGavCTrHuOA9VjJn2qZ698uz6rVpyYNNFJOS0WK+BFwlW5TvYD6asHUq nbjyUDMoLJctj0L0KH7Lt9NHTYfY3q1fmtqyaHlDOpf/KGiSjYC0zJjgX4aD Z0EFRR4bfEgjWo1AoJQdwEi+RPbnmGZj2K8HEx21jsjUEhSBfI5rMs7xtEM5 vwMpoCKUUYM0aFBbhBa9ciw2B6WqR+Irx8Rl38QpZnW9dYghXamUXOw0Nav8 Bz/2li2/oxMncjNU7A2bVkEsgOXa3r15uSDeTklsxeXriDpA5QNiyChG9fvK laXZJQz5K5seZSyjRzd3za1581GUJctps9Xy5t3H2zFTpn+M7Zo//0W6droI UdUDTqoAZ9eIFiO01WpPD10ikL/i9QCGsl0K9QAbE7uyZ8eevCyQlU5hCJsX wjCbvheSX92RWfs6yFmnZEHhkuwUuR9rrp6LHXs41PbtH2F2zx74nZlKUbV0 mxl1wTzVtMzOoqOvqynvVhLxW45+tG49jKMhYA3wFkF3NG06lmrX/lyxiFUK E/BVJul7eLB0glazzGOVFXc2QwYjCLYXKsSBg/MxMUaSPs8QQmdOFHZJUrC2 QYPauNYYjxAeWi3iCVYHKPiiReV5ffFCAAqVpklI9J82mijjXZfn5GbGS5wx lkXzjnmV5lGy56WX4sGt986nlKK4yMqVpeSnt24tJPazCZmA4sXOzccpvZce pQY5pOlvqzfThbLlsdr2JNMqrRVIVxVD3qlUC6TqhIYNWdWAAvfqqPZxp05K trdVirMJTatVi9aULKn4VSbFbiyzUCcUYxymvuNc4NHvjKf9Jy9LlgJL4+Ej RrJHUKTxpevxlJgrj3kI0Ii9rB+YSbVv31ckTxMFf/gpbF6IP8PJ43mhhN1c s77tlBjJnfsP9dVn9P77k+jhw3QuRn7unN2rxN6jUVwvBIcxsvUXVVjEtBH7 eEOxDbS+2HpuDIFS+y9rfonK0lBh3kvKsm9CngvYJ3I14MQqX36RiGEUZ+XN u9fojIrWYXpuhRrLVQnYvw/tpYqJNWwPvi2JA9SzrfRndfr57B/Gl+onjgVk bzR7g17q+m9XGeqgb5UFFEw33p5A8VH3LemkgE2GgkdMFOl9MOAlcAFfJ7Jn n3u83hXI7rn2AutnGsaR1AMHcpvZox60Z8+O3MnFUHL1Z7KHUpCC4yMn0L4A N2qkf3ZO5TkmyUj8aalpHtHSgXPUc3yhzNdh9OiRb0paFP30U2l0o5CQMTq9 IAsISasi/WGAw8/k3JEQFdmzHzeSFTmkHTv2oCJFthjJGhLyUhnutYne/twp WVG38VbTt1yoh/SEpfvS81IzzFA2IMAsZVfiGqRSwRjxpZnqIei0VLsEAmUR Tn8qgq3wBThpJviDSHNbQUbYFau765iHYlKtytmA2hpdnUoFH5MZYktGR8dS mTJLlVAcIYvYQank0qVXsNwUrg3fQJ06n7oWsY8SCYh+yCr+qhhoT/Xeb/nz G3GQoJ7mynkdXd555AMiKO9dQbu4ZsWK0gZQuF4q9eF0RqxTVhLXwuMLuUrL uiIcYlb0bpqb9KkeZ4y49pu/STfSX3XT0aw3uTQE7SfefruJIAn1B9DETjr6 +EEkPZw0FH5AS2KfFxH7XLaW4gsW1lGeIF5g8NFF5ctDfchqDmjfXgGtBHN1 CQjBf/Bh/fqu1ezbrz/9fuKCV0j+tEENpzet3/GHV0jGPqHE7DldQrKvtUBt 1cfQfJJVCY9ZcaV44eu2r0RKsi0swSE6duxjFrNTp+7a2Eqk/v2/Qz6HQc61 a+m4vMu5mGPHNlFcJ62LgF65kpsKKH4fFvYIjkaRfO3b92FLXUA20xrhJKBx XXvT28+mkCc1SIs9DyltT/UuNaNdd89Zzjiz1zgeNGSoln4evXx78+5xZZGb FJH7MfR41CdKACaY7YGqOZQooKRZUj9R0yF5i6a3gVo5iHtfiYc8Ea/Ey87M bsGCSt580BBKfvMLx1A4QoAygob611DuKIRIEk0R3HnQ9zul2B7R118PVBLL Y54ByvlRpjx4cFszYphlFy/GuMgIgDNlSt1XSLk/HVJuP6ePlC27zEi5gIBU +v773kRfvumUcjBg0evKfpL2z4KaI6vLyx89XBCFNke4Qhy7XTt35VJ8JPM6 JR3ofO8Ovc1WQmjtVfkhcNnAXSGghBSFXe/HIZHC8kKy/4Jtg/p9e64nQwpS FWu/kV/h6vslSqwGNzDL2KTJOxz3kIQZ/Aku0aDBB65l7K1k2mmHnNuh5FzX Ll3g1Tdy7klAOE2dNMZPzgk/lDVEldqdO5EOfujhaBYa1njXMJi6d+/EXmNY jZw9WPCcmXuswhRa/uBKkTIwoaBTU7kQwkEBFKRTE4OUiZQNgQ6zppC/6Fri JIucPr8jF8XuPeYlix76d89Rel6qLE9UWAsEz52ICFpeujT1a99eVhSE8VZU lF4TbWcqWfdOkyZuzdG3H+09cd7Iuh9WsdVAy9ZvM7LuwuUHlBIV7ZJ17a1V LOuUZBHXGNLewsMfOAihh9Ir9Qk7ybmgMBBy5TrAOq99+9UopTcYu3QpHY0b 18i1oLDdkJrqjfUGM5ueMWMkuhUwwYRLxl7QCGV0vCX10BSo8PyPVZSHbA89 gI4e30sFk4sFa0FX5kFF2hZ3mucaqFk5YutHzt6kr79bTL379PHr32L/FvVr 148SQriPhNFmqDtZ3J1efqGIYNhTpzGBBOXJr03WxoSdeIFyT2drE/hERzcb 7XpEvtLu4EH2ONPChRW1Zgyh5++YIJERdYvLLa6nf6pnh56mkUCIHmlq1hvU u8E2Gj/+QxRJewP2FjucJkxoYEaKKip0+VOrbiCFBFuhDm4pd8xIuQIFfuOR KgpjzL7ZsweoXdaLM95k1mgIM7DdQBc8+3Tow65A15C1boHuGNd4nCAI6e6o NXe2kUMMB4vr3EhwRCNz3KleYDkjHd9pKaM4CtzSJeVg6X00waFsg+282AwW 3fOkoe4BiynAFBhChiVTlix/U+PG75hlRM4giqct5pP2dSFq+7S1uen/lHIb i3I/P9pYrJiRcmeC89Ebb8xwSTlIkd69O7iWEQ5mdANxSjkU5oiDQ2rNBg5s y/2X2GzdXx2tgMzc4aFFEbsNL/tbiDJ9V/E7Sgh+aplGd2gbdKI0exFnzaoq lPzjj18TMunNuVFG1aNF/VxM7uzZWxTfoq1DuuHxBNCf2bMrTDQzywiyu7NA AZdoexgezraxn2j7yyva5i3mzjW0YuMOI9rO7j5illlEGxJkIccUdxPR1rbt YMqU6YxLtKH0XVF11yq2ajWMMmQ4y6Ktfv0dyr4t6LJ3UZszZkwzk08C0gKf e0KCdE4Mov/+K0yFC//H8eKaNacJLa9Zc7rxIRa0zirDNczrQKxVj95/Oh3x VsPfMj/NSt8/3uQQa+pB3k+iDbsO0bDX37Be3ZhKzW5huYX+JK7k30TrW1Fi zF0ncJBKhu6HOfR0Pq37qXzN0Agk+WiG65JoaKYhF6NbC67ZsqWIkWi3Oyzy k2jDWg2rq3/qnUbvGMbi7Mt5vesSpQyWqz2exsvHArgGFH2TZKQzZ1Y32Q0S d8GIfEcKiZYjh0i0VAXn8XxNvny7jURbv74+0ZIe5MwDQ+E9MuKcUITZicI1 J2mDJNMlFEb8QP7j+07xA+GNIL8TgpCQSGv2JmV7OCqCbAvn/WZXmW0Mevu6 cLsD2MEq3uUFuXnX3v/fBfShKOuJEWVw9hUuvEXp6v5m/SpV+k4gY66D7eK7 fvBVnc6ShS8Elkc1b86E7XDOnEaUzYnooUjXVy5Rhq4OCME61w+7BiUt9v7w EiWMHyJtyJA2Apbx4xsJp7LLC3Nf8Uqz9OcNZ5Nbo8clqkGRJ+SRPYXK08/G cqI5eOGgQW2NlwE+RLeDT3HMhxF0Y/ceLgjyOAoJbn86g1LCwg1YEbVdX6yY enwdzHIuK1tWRJC5bn3x4n7L6RRpZ+++pMFDhqll6Ua/HjypRVoonZsw2SXS XqhZggalS3fJ9BrGtoYJYuf7el0QdhbDbfWoB8hS1qs3SbGpp/xRy5YbkODn EmnoSvvee41MgBStEDZvLszVHR6tKNG4Zvjwb/geYITt2/c17oZSpVaan+5h LeYCQVmC8yuWU6mkCgCW5dFyLUAxv6FP36X/4l4auYZajflLVlHPXr0sZ88y h1wL8ZFpCg7TR1Jy+aNOhga+gR4YufVcNFlwyTMd9XA8lmj2VeiQPvssunKB Rme1bdg6Z/NDh9YoNTmQYrOeNZICObJyv1qyvcot8rFM1fjSPaB3Oy1TSrqY 5eRq6M/Qr18HK5cDJeis4JRseE5vvNHSIT3SsGsJBB7rniXLSR4DmHlk5F1+ D89c9E2wgkJsbHp07xAUITNOhi2Pfn3x9Wa5pOwQjQ100qZBDyqcfDOy8X+Y /lAncj+0ToGR7hRwuA6pKc77wTPsjmwo8VrmL7Qo8Qq4W5xKTLGKRrxm7XLS NCTadOzYx6wgaBpKdZyyDSshNE1WEP73hCB2JHHlAlsE7dtTXFgYvxcfGio1 Uvx3wdC/0cta5IWdcuxeQSTXiVoK9hFxyCl11OsiwsUfoQ4GvbxiHpjJPwh7 QBuKbOAUSejkBZUW8KKhUFzpbSPhsGaKpSBvHVtp7doSRiJC0IqEc8L98Z/V UdisSVsoXf77MiVUrGqkDUpANhcujDIPs6BYlJcej0u6IcABnutd0GgOF59T FAXSbdXmXbw6AwYNpn9vPeP3/r76yJRYnkMiXtZshgDut6rxEJC/IlIOWXhw sjlZW7Zsf/H7XgUZwo4Y9HGDGAoMTOF8lvj46CBNmpHGtW5dcfr88zr06ad1 uKAM2Y+In5vsWztXG/l8MTEwgVOoTJkf9WqGs4kqInmh1duYo8nhEfTj7XUU lhqhiVso5XtZiDY9/svQVmQ6fr9iLed3h75auAV7iVrMPe4jnhqY7HLkAFro GCzZXei/5SvZHC5y/UhCaO7cygZCaPKLz6dNqyUWEErt5OPY4/l1Mw/vzyJe hhvV1D/rrMVw1hM8a7leUbIRMDCdMguFq0OGtNajDuGn4CSFSAHq3btjlP64 XLklZpVfe42zhVGTJfWYdg8Y++MyZX6zJXK2G04JNLTNUBceQdnQvMRJ2fbm 22uWSSQQ6jald79QLKnbRFe0E9lOcArB1kJbue2uNHAV4Y56CvQ2c9I2/LYY wPY9o+1HjBZKXlbMbRiwn2ZZQynSemqoKip42illJosHeuagBVyZq3a+LN6a EiXMZ+81Yg8M/Oc2XlF7mM58fChTPs79f/AgvVMTwU/jXDxoInRYI4fpuXVr YZ/FC+EYPVo98oReKtL2xVuKJjwwFfmwvBttU4SHY74UFxeqrNemweZXunBz SScVw965/+v76NqiqVgoxwnuTfqcUkNCjUTenzs3hJNeomDal8cb9cTrYViY jsaF0I9rtzAc4QMf8SZ7aGj+0lWBuhrjwD9XDWK3b9zhSonF08lnXeAqhE6d 9HkBQUzCMmY8Iw8sVEsolPv4LlHdulPYH4pLw8Ofc0+puLg0kZoLp6QEKiuk lRJ2l/Ul9xBaD9ZQRhAiRtnwMrPTVnEjgZ42aEb9E0bZtostgALV3d54PpHO xiWaGUMc9+rdx2Y8/gJIe4EbbqOUXFdcRtD4hmww6VRwxcyVAeU0625G3dRL HMQbJjY2jdCoQP02+gsIx3/yJERkz8ZmM113ehH4wsgZJ3HzlhEn04F3PlYE NovRaPD/IhXEOUK4K5w3VmJejzBCPbKe6KfFq4jaKzwnaJO0aa9r7nwH8Tlh DYsW1SQ6VcLl60Iw0q32g5ggoQGytnOFO831RtKNpIFRiT7KkB5pHZILUsXZ YBwxScQuXZwISJo7yDs7pOTWsei6lZ1qWb/LqBGHbGE3YjOLUrPmly7hoRij XpS07HcB18EHBzUPQn7C3YgIfi82OpoSAxkMvO3qFFhI1avvd9l7yPr3XRV0 GhEGbVooe7jTgHtVQhUv6sjVJ2Zm4Dg/dkOqm2nLyGVX6B98KR9fo8u+hPAg Owh1x045kvQymGKP7ZcKcM7JvfLXBXpRzltXiQqzYa1b59fjmVulikuEKGKo Fyqa+g8YxKYKQIXKT8yid58+dOp6PL+HdN/zD5Jt0Km/d5UtZ/gNOsbhlkqK m/S6dspqtVMUyRLpAcn/2msfO6zbUKTQKeV3wQwLjQkQYLx6NZde1RB6qrgy OsOhcBDXgPAWLbpR2Kay2NABmj9KYz2ieCvaULlL386mYklltH1m8e0KJhaj LY9PGpGIQjQ1/chXiw81iBYbXDVyyYqXIycC+RAF9BjmV57vAvyefHu0azeE jy7R+8T0vZ48uZ7IClQnyff2KeJ8P/y+AeRPpX4y+0k6LfXq0It1t8sAy3CP fl3WyRGGsF1L6GqMb8kwkVHuHCecWjJMtPjhsITSnhL6rVlzujAUlAHJQyqu jCk+jGXwt06Ggn5RuJdwXFR9IEHRaXMhQodMGqcyRiXnqyJ8IiVDHO8hDwKJ 7QINpNWi04pXlkTaaPqjmnem19UryqIfrJ6GhcBxVKHCAqugXhnUxjuFSMmS a8zKwCOCNxGj6t65M6/Mt1WqCP1ANF++t6J4WVaGq1Z1EPEBIqibOJuVQTqi nGYjsgOpgdAyzpVBhzWdS66faxSlnihNtKIz53ZRp5VE/RYo4t6X6L8itsGl txpMgKFD2xg30qA2TE+cMiQhvpAymB46/LAhbMTcmzrLcBG4hGZXrSrrtK1w YZcMWVyunIlhrNjwKwPqxJWHlijIb75bbIB28N9rgdq3PXfWfDbH5DaQvUh5 wmPp0KGPSBHUoiGnxClFUJPma5siDwV2jdcsDuXGT127LqOpU8fQTz915L5w vXotpoIFzzsiIanc6AbxXhEnqCgUp1IJ66RSREFGnGz9dwNFpEaxIAnU4kQp OxqUMJbOxdnW4b9Kin702fToV4oTgQu2sfhCpdAPsNBFgwYGkCsy2Si9pIhs ydaePbuqxNN1qB8Vj0YGoLxjgS2azC3B5+WWlfV3FaI4KuXkJGBNL6vvpevX chhVCAeSPn/CDBt5iqiD8u5RjyRSuYbdpMlYs3Fq1Zomw46KuslvpU17zZLK cvh+li9X2/wxgsSpr6IngiRUh/v6dZCd57tD0DRH99jVuVf2SsyoPsOhj5Az P9S0oA2Su2a+TXQri9eqWWchN4/aWT+bnYSM0fbtB7hWBr04XI141Xt17UpR x8qEc46PLM0kO9+H21A80s4a1A8JX0c4vVixDdz+3pFA5+QosjToNa/XxggZ tBD2XRoIIxRY4IpwfR0kBY5wci7Nm282Z2+hU4I8vtGG6w6dEuRS7GN6Vr+J wfXxbNnAwwqaFW7NLXrI4XERo861Kp9MNZJj1Jh3bOrWs6fxuBz855pxsiJt 9Lf8+V33RLtom5VsNWEJtCOX0IDIk9q1p/ktCeQO2qI4vTOQFQi91as3SV8X zrkh0kmupbVBmklScnQamhY3jwJTAw3tiE5JRyuf7OWxQ8iu/+0gnMJp/rfV QqwV1W42nXcQlketttM7qUPymsfZ16EpLj7evr2QkcRIJ8d7yId7/FibKiE0 cXRrUb56f6eiIbtIBlTkuQM0th6+/+YXaFZqEI+7zpljcxR50mhUgFpD+wr7 T7jgfUcbFhanacU6M1rF78j2BDyDN0Dg0737QNv1l9trymF4OMjKfiT2LdH7 3Jc+gHroBHZzHbrTyZlIzunBCTK19lSDpdFNR/uE3SPsQz8Sg7xiYZjFVLiA ZdNZ8IAaNb4spHcW7LOsWf8m8YHYTDYFeemWnAUBdpFgeyMRd5HF0BFl9t4q rSk7vFujQXyXe/cymPVFMBtuB6cgQLDK3TLOziaS5yCLsXBhedYYToDDEoHU nzy5rrkfmmRxVqXjuvvnpnC7Bq8gCKZrB05Rks5DfKYQ/2mdOpasBvyr/2XM aISEUA21AmY1lFHPBj4Q8+Xs7wL1Vzco4OAtdJW5+ChF+wGSaUKLlsYkSbIF LheuCvg7d+4u2saAHwFxX7mJVGwQCgVsE0cFuYA/pEGDD/R14UqUTzZRCDRu kGk8q1qLeiQMcUSGgql0YkU6En+Hx3r6xhMaN2Gile5/IR/ZctBDTiwhoHok 5xEX8nHynGxo4WBoBYOP1d8GS3BiCRoUOxDILlpUgauTneRgf+79Zj2ksyOS rn2LM1I9iXRjTWuX0seWQqqGc9hI8cCpBk4RAMeG/IYMW3xNefLsM8OuU+cz QxjS4KAr+1Ggdv38+QxEI2eY4Xxd7Wu/x4jm3L7M4IOGH5jrxI2MFvXob4Go 0ZbCW/hUkb4d+gooPqj/gTFOPGJgYDVabnD4d5gr0hqrHUVYdnZXTMwFhraI bqRpZMz4n9lP+BMlCr4rcU1bE9sLeUX319WqGYJwIzpa8D+tdm30PEGnIoND eIh8V+LLL2v6EQG0PPNdCbReQHnIgQO5uNP5jBnV4XqQlUB8QYwRZ9jl5tlt jsByMN2ds8iU76Luo1fHjmYVhivlL31vBKtIDvddheOX7jNWFq7wqoQZcxYY n9+x87dF9497/0NhSkb3t7Zsa05xTgN/dIgR3R/i0OmoDcIVkXoV6tX7SNkI 2zkuAi2E5JZOnXpIfi9aXmhTg9vlC+ofDBtJ5ZOqBWnA93rxOp2Ps/0lW37/ k3r00B1wXgV46UKFN/M7VD3Y/8Owh8bMh3PNd6WQPYKPL15Mb1YK3m7Zm+fO ZRCA4pkuK7vMBXhWivqW5fUt0e7aDfgQSk1/n+Kv5jC3xYNX95PnClUPeYIz PSUjHscu+Y4W7edsH90pM1q0qBOcZ8hwTnCOuiwOquyua3COg618tZa2/l2q HlFXuS6rvg7NndwHcOp+DiO+8gL5hkUp4Ra9aYlLMYVKllwls4QKRw/U4OBn RjM4M0tklieyZuXpIJNEZonyMZnmuQwZZKf+UL4877bWrdcbDKOG1hfDWGBf j8Hy5WX8ZomWhpwN7ABpcnI4Xbty3qWbL91Povie/Xk4KdqOl2lCN68qVQoB ZJMIs9aR8SHTRIcnOx6620xz3IQPDWvf+9d5AenUmXM4ouEE6WarKS9I3rz7 DEg7duyteNNLl46uWHGBzzTDuMhbSNRGq7lB4X8/zKMsKdlF7QalKuH5bCWP Bt7LaV/PtfO6/VAoNht8VigqvRV1y2gNrnz0mfu2bXbE58qVdJbU2mhOBL5k lCLaIKFQ1Yk5JNLK/crp76IbuF8nOJxcUOoEOJ25H1JbJ060c2dlzCgixZE1 d+9GvLJFjrwHR6TvPPLm/Z0XEcWi8gyRZCCAjIk5L1Z5wYK/2rlpCWFIJZZR Irboi8l9eff5YfJ0ltPmOkmXhPUu1oULk6h3FFr9u0VP1Pt1rD1ke4ifUqNG 7wrDQJkmnHfh4Q9dbh0R9fJeNQdFkMkfy2HXdau/zeQHt2ljcHo+JkbsbmQ8 YdMhgu6wu+/fj/CbPCo+ZOlD9HUoTvKdPOLXvmkML5Ny0ZWbD1xQvXzlkfHq x4WG0lvNmhl+hZy1jcWKcbelUI2rz+rU8Zvpb0f/ZRCs2bbXzBQNHV8B1W8X LacfyzoT+T10xcrFa2I3f7ZvqXNOXfo0n93vxTHNMG1z2w/kqNIxAtXdh1bD lyZQTZ+SkbY+PmUz+8v30SbObo3tB9W8Mv5WIzh7BFpRCXZvmYw3lwoZPiNb jrSkfZtXWcYY1ApS0E5PkAKrFaeDOlGLfSpzK6u/qw8Id6GWzxvpuMLli0cu Avxk+FY+PXycjg2VCXqsJLZEoRFRRCMFXJTWT2ueNE8POVIC0rRprwpI0YMA LW15+nkuO21kpEU79ylSy31BGqdMcZlkZn0dbGT3JCPscB3ySgWkc5QotHJT fuuiFidnIEby68GiRxi67qP3gNoL4lJBE7d2Orde5iq685BDd6IXq0z2atq0 gslNRYsqI+xT/uTu3YxOE9gXkyga9MUknCS+c0XCsy8mE15WpEv3Etym7dH/ uCuE+Ld6KLNVmBvafQFAZzJmZFcj7vGXuqaPzgGXmXrV5y4z0zdHjzWYPPDP VcHk/KWrlF1S3YVJNGoXE1cwCc+gLyYRXXdPM4jj+ILJc1ZBueXyKz8plRns cG8HU/GksnQ0/q7tstp5ACmddhGqHy5z6psPaD+Ai6SR1RUbHRuhNw6SCQFX RIKlaTrayeDjEyeymSVAsFP2ZVxcmEAIbBJZQE5IYlfK1MroW+I4aPdutQ9O SJ4w0UVeN28uLIIEbZ+RQISst9u3o+TsD3R2njMH/tIuZsD2BiYg0gwYNUSC xLCwOEEijttBj0X+0ea/CIXVfWBc5A4pOr5IxBwkS1uKfnGimntu4XYnp22N vEgcYdE+qwalseL5ESOQldeMdDDbL6h9iYi4G6F3CIKn6JeEi2Sil20jjXYU KGAmilbJMtO4sDCBIahho0bv8Sf79tUQFqtTpF0T/eij+n4whEtZrpOJrlxZ yg+GT54p0/FBkqsW6ubqrchfZga7pFw5mSdczLOUzbw7Xz70pYrQ2/tmVBR9 Xru2a57KkJTaMjPPt9+dYEB48lqcgBCdYaa89poLhM9t9zCCpgaEtdTe9wVh RMR9n0mGUZEivxgQxvKB0xY6QNH0B/MoIDXAVoxB1PRlByQUs9mr+GuWV2JP DgZDWTgqUrcV3sZ9UJCeGqn3C4wfYLJ/+/6muBHF8fhYbX0zfbT9ke3oSHpD LTVa9vwvAEqXf+SwvwqAtKS7uS3cCF9/XS2XHjU6sYBZAoDIqoDqjHRIcxwQ hbaDMmrpm1W8+Hoz6pYtRxoUBgSkCApLl17J/UH5lwfMFxRiIr6bE5kuvg4j FEzKdfLr6P/qh0K0tTlawf4ZmF/NLPrR6sYddZBaVbv2VJ1yChQOZTYKFEZH 34jSWwRmT8mSq5HorGtfg6BWjD94eZkyxshq3NgAMUX8wUHc10mAuGZNOwFi z56d/OYKN7wvEJEwINdl1Nehss4XiHGPh9Ml2+9qgHj3i9lcv4jU2Y/q1ZOp wt0zu2pVBuLtKFPyifDPsjJlkIljptq7T1+Hs3eBTHX8xMkGi+pjweJnX86i KXXrurCovbV4+gaLIB6+WAxxZLXL4SswwRnH6nnds+wmL8lR0fTW0w+96WdB NCRhHI/kvzsJaFeS9ZVYzKh3NaT3pPqTOPX8YsxFxmIavWvQj3xM0zGOfRXE Z9PIBpw1q5oESJEcL49KHgGsfBSkO3mnzqrgb5XU39WnbbixiCrQ341HkOXv 2283za5HjdoAOBEBd6SmAItp9M+igxJoq3PUzZqNMbhTu1xGjQ4ssvAejUXE PseNa2L/codVgkUdB3fxNUdEyni/8J4vFnEIjx8WcZrQeZvoc7PbUhZ9ZE3g 4aCksXnzkboHmZ3nCAqJ0se0aZXoscebK9dBPk3BOVE09pYpfdiggUxU7XZ5 2/JoIOJcgfr1P+K3d+yoL0BE0pgvEHH0si8Q0QbXd6JoxOcGYjjdj/tIYi72 S/370fDRPBx4RIe2amUmimKnqUr3bStUCC7kNHq84K978+ZF1169b4No4sef mVsqPmom+ukX8rYlNUSvjxylqF4tFwyT7OcN1WZgCJHnC8OoqNs+swzTHdQU p7Ve0iMGi0UvcuSins+HkV3AypxUaUf65Nl8Hs6fF+5Q3wED7ZZTGosffTbd dTpPEMcHoRdxvuXjkMfp9IbBOU3SwEEO/EOHaNl7yhCT6TtSLw0MUY6PkML/ UokCQ92D1A1DdEw8U9j8FCLw/fq1kxO70aIGZ1yiuPrp0+B0+heRJITeYM4B V6y4UOQetW/fTwaMk0F8EYgMBbjx+Udr7BMEoqu5LwIT7da3LgSi07lcJ+0Z 0GrfD4Go4MNh1WTHRlKyW9THskeJVgodO/a2ZKKwYxHSAeSUKZNOjxft9eCJ d050RenSPB3UayjVIROdW7myQaC9CYM5t6hnp06K7X7NH508WdK4V8E2/HR/ r05+METGpe9s0abVF4b3Hs5yw/B+Ej1p2Z7HdC4mhrWczBZtXpCGeSRHDoQ7 02nM4GCS9xs2dHFgdDvA7U7Fxlviq5i1YKnBoLPADMNcUKmSEUAvbJTxq7O3 Xzv4vy8MM2Q47zPLMN2ISlkz1jOcGm3DsEQZavmiixOGMBV/eLqdR/TroZM4 EcRMtP/AQTR9Fpy0Fvn0o5LwLkKXH6lHjGboz4Ke2ZgMMmfELC6/GLAVbxkO f8UVirGa5UB6ozw1oakorcR8vq7+teV0ycgc5dgZ9Jr2wyQOxbzlTdVFcXq3 bl3EakZ2Hk4mRJ/5hASPjckgJrMoT4d7VWlPGTA2tO1BvWgGXLz4OvMAbIYa TJGRN+3nt6CS/cOOetBX0VRkT/sai0gnk+vEssGhiH7ATPOI6GZW+3ceW5SY JpAaWdvYDMF40apCZotwOfrjwfmkuGk6LULAZpHGgHBa587dZLYntdvmVJYs ZrbokOcLTPQ/x0jLlFlO2m9jxCmABSA6xRBsc19gnjmTyW+2iFu6xXMY3X6w wg3M2wmUUKUGK71d+fJlEZKt5AROAzqSMyc61afTGEJaOFw7MCS7dukiE5WG JBt3HTITXfvrPj9Y/nrQTsFfX7y4geVj++Q8QlhJLbXAEgntvrDM7gj12XMM 5e62uC7SekzPbNcSPateh2onNjYMNTwlkn55fJzdNUtWb8qiWV3Pnr3oky++ 4lCkTuO2/BrFyXl62HUrld2kIGIJKpEkg/wDOAMHtR2UzUCiC/tJcNXOnQVk QQ4fzukHTGQmYEYbi240wERKjcyyuP6u7uHj2LdK/UQqhfIk0jhvtmwpZFx2 oM1r1pRACYYlkETPRbQiQbrbgAHtZbSI30n3laJFN8poHc0zDSrR6g0jw2Fw PJzIJ2bUTk+w7NNRLUb5odIZ8RAPtLPTpX2/MBQU2edj4Ab3LUoIDqaq1kHS 7huZKE5gxKELaG4saESmJIql4dVRmlQmiqpGKWtYWbq0TPSiduo4AQmQYpAi rhITgwwgEdDynSjK130BicftO1FUIfoC8ub97V4wqtfl2Cf0omQZBuSScuVk om+2aEGbihThHsWCRgQ+9ior8ksF1D4dO8pEBw0eaqzGmXMXykSPnrvlB8iF K9bxIP/OmtXyrVxw+lBRnff/xTXSGTTadZMoOXhuB1/oaeOWVDapskFjmpT0 tPPxWU5Tmvb1XJngG6PGcNPzf289s7hY1Q+KIhrQfBoJf0mBSdp2tAMcKJ9B w8mPlJWhFILxvRpyp15KVcl66KJrFx7tTvJd6WzGs2Zng6jKPIvp7+rePG48 Yse+DDZ4XLKkrOEt2CBgrWh9axuOwTqLLAPjdOLEBtzHW4ZsJ1TY+7JRownC 6lC6hDJAL30Npho1OFmXM40oBTvY29UCx7D47tXpNaf7gRKdheU68cSjmsMP lBkVP4izC75wnNzjgAhlSJ5k2a10n8wWjaXs+lwY9/YwkRSGhCZkMKgZYSpm tjgLSqb7VvPmMlucPKfz4Y22gH8DIw0Pf0jR0fHOVm++E507t4ofKFGv7TvR bdv8QRl7/w8XKK9cuk+J+QqyT/XLGjVkopNfew3nt3DxYBoHy0b2Doj5u40b Q02aic5ZuMxk6wwaMlQm2m/AQD8rEidEdevSBW4hg8ylVjdb10XeNshEBMkX mShFcc8ylE+uwXXprfuUoJEZ37YDFUkqaZCZMSUr7Y+/xspwwqSPZZawfaG5 dSbzK5ApNGx8o/F8yCyK3eS8DySO/5H7D5ql7BmlJMUdrRPguFhbKUxZCoef 1ZJkyoQEO3sHR7CbangPbS602cyy6P+Hy8y3FDACtOvWQt9048oD7iQVT0rJ QJbBZmFpquFIBTZsAm2rGY7j8K8aJQlPGjwoOCeTx7KvpqGukFC+23R1qdV+ eES1t1wn0epX4hFJ+I9tbzWaW8FLV4ALV5PhWJJZor4MufgYYLRWkmg4CQkO i1gZyHmM/dGFT/rAVf9lzCgTdThXjZK8GxnJO7RpU9vZ1anTSmNOosDXd6Kb NxfxwyMOyvKdKLrp++PxiAuPV/+N5VAj9LmyEWWin9epw6fIYYDRWmLgQErk CqPrcp8OHWSi3bv3MAl1W/cfl4k6XKtGSaJUGIPEsR3ShrSCdYQnnSvXIQNF NNf2hSIEuXuCoUyjcF066wE3ecV/HnTvTQWSixgo5krOzxHG/+68oJGj35YJ Tv78S2kHjZ6mr4CiFCagOTFOzcL9ojQU0aAdp2Ehf71b524SiDbuR4LSKieH BwGZghn8jeeCqXxT7RuXEYnW704MopmFHwZx7J6uw4JLHSfnihcPbVGR3YV1 iNIYBH1GNtGHH9aHdJCRiv8QL6Vv7IcWwf0g4MTUHjb+u4R9Uio3f+Dh9Fko KERzat/NqZfKhcKPbFcLXyFp+f6enTBbwEjrkjMoz81B2a0bXATRuPE7Mk9E ITSr1vUTYeQ8DQEv1CrjzKmGDd+HMSTznma7E/mlyJ7MG/5L3afDZJAgyI5B 29VfhDJzASW6bvvO++TJLH6gHDeusd+80SHIlyylotHS/ROumMe1P89RckxG jmYoyipz/7BBA8Wp7MOoJeBxW8mPDcWK0fjGjXXWVhCnxAnG3/vwY0EljlfV jNagEo4UjFLdwrADlJrIUlatOkuAieo4X2DKuRPeSYYaFw+OyRIdeb/fQMqd XMAAs0hyKfo7Lp4T1gcNHWbad06aQvv+vshji3AA8/B/N3w6jqNv4q8Ff0Wf XEtOrEAUEq0j0H5ZAbOQXg1pIvnkCU7L6SDARERQQAlrRHd1RNMKA0xnXKCI /uVXGpF5LhnsI43urbeaGb8eitrQbF/9lo482mdiIX1v8uTXAEwZKbq0YOVA y8w5GuFshUk1AEoWdUceafMPymx0I4xFGbEp0ujSleJD412ohA9WGhTJ7kTj yFfqRm0e00lLqce8lEGRH6TKtWw5XCaJRFudSmQ7ItSAEHXEXsAhrgqFMkm9 gelmdDQUn0wS/hAp24wPCZG2hqZ/89OnEcZ4tMud27ggiJ6CWHonBGGrS8WK TBLBJ38IBioIunuhXj94mru/osR/UNu2MtGRyoDUuX2291K9h25IKBGb0KiR JefCHvznGsNP7WZTro9q8PO60Q8qTFByBtWvdKvBXqyVzQjgDh36iLGmuIVs gVcG/gV7EuWIsuI5gQD/uTt0COVIzmOwVyqpEv0b95z1du++fWVmb4wabfhp pJYOKIjTblZXHFJ4JjLJkev1JOSJyQVA0jTSWtHSqoh+5iNHtuTetbhk7dri siBciKlhA16D2SD1DuFMgeBlRyGDLK6/gzUY/YnNvRDlUvvDePAQeMSpeM+e BZng/+3bUfwe2iPKMJ11pGXLLgvWKLKzKey3SymeieGgfQb/3KHKAj34sXwV A6i8r0I8qduO4Qrxiy0ts9QfepnueKH3p4VsKmV3PORDF9V+kMnB84SD9Dye Fxp6HgWaWD53FL0LZXLOUtD5lSrJ5BCik7cXl7fPCIHlibdattwgWg9Vm76T c8atBHJIb/SdnDPSL5BD75ZrD/51Q27/CUqJiKQ7SqX16tBBJoiccSQCKZZq IIe+PN8pe1dJCe8EHVWdU6bNlCYym9FMWr899as5PLrPa9cWCvqVNUJbg3cM BXXGtwRtQJZ7YqGctszy2npKzzTabg8dRtmTcxu0lU+qTmfiXqBCHWxZJoWW hkvWbFJGYpJBG5rvT/vqWzTdt/xC/7a1xPlcOLL6/2tmgCIv1HfAe1NMLw5a eePjly+hkdqKEkTcWBgqPDm6mRFtKrrJxU6RZ+5EIH7CD4GFzxgEgnmqexkE TpjQUJqaWJIEhyAYvKjw2MgwbX+HnYndoUM/UQ7QeJKZgzq7TjohQSI31HC7 0YDOUm7ZqWsVjfVdpYUVFprr5MHjCI1XemvEOjxs0b+KoiMDDk1vOnbsKTME qY6KusW7RbLf0NgC2W/w0sgMpS3ow7AwhBFlhshDfaq76iFBrptuBqEsI571 oUOVjVkI5uA7Q6e5J1h0VmTLDFetKvk/sHjGjcU9xyglPIKuKStWjUVm+aky De/ZDW4syX1DhHGazn2TWf5ukzj2lnbr1i1Iv4288P/uvuCPdh09E6hlkER4 5AUWHqG7aRQqtE3GLgUFTljWrj3VZ46hOLuVrwuxEuipPUy6PWQwZUvOZUk/ zUpJtTn1bc9f5wxTg1mIZnuGfar31CiZleIKHu6rgAmnghTySQcA9GKaU3UO iKiOPwRxtpiowU2biogaRDhBtie67WE+8NLgREgBIY5DkHlKMY0+CuF/ghDA 7tWrg/GbI/0VyR5gogJCHGaN/Di05pdhotuvmFRK30mDebhNhaHCVVnfbszL CV/c6DrJg5RRweHntT9/JRPFeZdOHOKkCxza69yl/tmoYfZRk4/SGhyetEoq E+Mx923q3LmHTBJncdlyWY4cCXHZh7BiatWaBkYq853szbNB0ZTMFxlyZzRZ xTHT8N5gQi1avMnzj4p6jKcpqIRz2ne+KK2KiwtzoRKnAUnPOJnvihWl/FAJ UuqrIWN3HqSU0DC6AAnRpYvMGaF/RDDIbirEfqVUB55QDf1p3bo6QK0m/Nl0 p0oUZdCzVy9zShbS0JCCgxmpiVtyxswFK5/hpy1bjnAWV4lLXaCJZqJw4Tmh WbSoTaWCrER6bNuwdHfQYKUxvdCsnlifm7DtPHxa649g7oe5cdchM2ocrRim Ibrj0Cl694OP9NxeBVHJE8d5wIvLLWZMltTXQ5gSm23I1m4rkmr16lIGR0q2 CuF1KhJRwWhuLQ9eimfQ/dCfoZ41t0RKTs+enQw0UUetE2ZNowxYL7Znr4sZ bbZsJ2zRFvIYO11Ga7fXt593iRJrZbRGKbw/yfr/WKqzgfmrWKo85fmV5vvD EufAP9D9MI9a9JdVhjshQfd17txdJgjnqW4hpw/V9XADk6pVZ/MVMkE5Bu++ UjJGPQbxWaMywx+le4FXI8yZM8Rox/h4f6bq7Hv+KqYqE/zxxzKvwGEAXX/4 jwuHN7bu4y5GAFZXLw6RBSf1wlKegRb9M2raHfpK6N2M3tViIB7+L5YLH2Sm zl0+fdZ8UZHHsmf3U5E1LNsDGhFxVwSJs0H5q5hrhMYhgr3c99VKNtlw93r3 cdiJHqqT2IQ7D23d/5fhcQj0n459zMsQrvH358W7HNyw6far8Cc68WiOo6Y1 kTxw+C2lTkoZCkF6viZlhaQFsJ1pjCLKFx5z+CsapukSZ4O9C+kv+GMPh7/q N5HopixCE7mCkEb0EMd8iFqEz0g8DDJS+DEc1qGoCVTtyttQj53tygq2ec1h zRxj4/GgD4Dv9jyW/Zgf/uZVnud33eyqs/3xl0ZtlLsZjZV4zCqv7JHn3HBc aWyZJARx0aKbWC0K/rAB4G1Hi6pSepIoYnBYiTLJdcr+krcP5s7NAQ6MDl1q oAs9niR6/jxMMIgiC9/BI7XGF4POZk5y3Q8/eJvMS+Di+kNvTz28bmzaQ6lB wdwDQA0lrcYVPLk4G8kBElO6iJgjMlT7KYtRJotUb4fFKBBctn6befunTb+J sIH3lVzRmyB6oJAhD79SpfkCw3TprvrBUFrzeucaigJwfgoBaHujeCgbBp27 Uu7k/AaGryW24HL/TXuPaHURzBntP2/73aUOQzUcEXZEgh+syLBXwtHZMG96 ren8SWk9d3SqxcdQPv37t5cTPnCkoVd3RaHrnHECIfHVVyfuybvHTFZqif/N 9K8/LvN6HafXrqUBFg0ukQJ79mxGl06E3vz007quIZuUwrCHqHCQIcNTI4/G PlG5rxkyzujln33nU6MYkXqDs4CdexFnVLgPhbQTi3yvwxnJfsBEpqokxP1t Kd1YgcKURZIhwzmQT5llixajpEWzASbcN/XrT3LN8qguKL4dFYVONjJLFCrK NM8r3YkG5DJL1EDiowUL+hntiLCRrtowo4cI9kUmXGi+14GMuJEZStcfHXcj 85fdjEykwohaRH+C63Y01KjFy+nScS67d4oe+u0Ia1k0BLXkbD2oSjQNlfuD 7CHoiM0F3+nF9Oktj4PytrPW8JzRIQlmt2h2GCu+iIQDVZqiCyJLl15mzIXb ln0YUVzrtpQ3uaBBZL3ElnQhLgXdgswckWhw1C74MooRVZhvjhnrvb8fEmVP Hch9AI1h+BOpNoRlho/37cujn2gIW3AmbYzsA0iHD29l8ujrf+SHRGxf0ZCC xL+y/uWzXYPtAwv1l69cScteGdmjSP2RDhGCxF278vNwnEOWHsHo1ipDhj0m +UwCxTZtBksRzrRpteyffRaOo0cEjMgH9FUMW4ps8dOSux3ZU2J0TVPWnbvy P8wu3Liizex/LKUoyzEY0TbHAUb0+0VbMCcYi6ifFTNGwIid9ySYG1hANcpc YYcJThmQMTF4T+YKrotPMmS4h7N6BZJwYvnOFQEjX0hu2VLEb67oi+YLydi4 Q25Ibt7LkDyeLZvZrnOqVjVnE4RpSAI+a0uUgLtHP9EgTu5EJ37cZ87CZWai yhzTsQJ+KVMNLbVkH+IAUl9N+dBKa/aAYp+iKXPmPOKHS5SquSeKlpuLDS6v Wnbjr8eNm+FEO4PLuolNGZdrt+8zE5357UI5XMEYjIiBohUBaPerW/M6dYJu 0aEL80M5bVgI65Il5ThtGx5uRSst6Xx37VpaZzs6rvW7GXUz6BW7Vkq7Ebj0 wyTOiNVbHl3W4KSR/A7UwKIzB5w50npVhgXauWhRhXJ6xM76xcqV51OdOp9z OTdc3na+TRj3lNL18vxSut+c7UIcBjALMsh1bpt9ihBOe8cVQi3G6wOj7AHY 131W5zMfXIbaafFSUHXeohMKYmCvSnUZ6QNCXawY9+zTHh3vqT1o6lqlyhyZ qbN6EUXtiPhDQyLCFqg3OzijBBfxQo21nAizd28tQSXWEJUyzpkiRKwPtDGo xJqjFtuJyq++quaHyhtxe12ojN3+B7eyUvLCzBQeJ53ZrnlrkPHjoFZzRo0a MtPxH3xkbjXx48/ZpbP05y0oKrakW+bW/cfZpyMzHdGyJTIKnOoS51na6/gS TjSjLtGlUq+xgSXS89vokyIElmig4632t1sJPqtRB42xDSxrJTZiArt66x4z U8iVNdv2utQlgo1iR0a9EpYmIVOJaO1eNF1uUGUvElPaROGwGHmGIpu2F9ru pyOdzlXB4x7vob5ePCIUoP23OLLTiUe49HTPAaMjkQP30Uf1XON09gpzNnrS IQ1TdGwOijtZUv2VKgBEVz1fZYFMHF/F6GxnJQD8uO7H/gDEcV/o1U8sWPmQ BLhv0LRHHhaOs0fbf6dWRIpCw4YTXFNbWq6cEfsSXsMmw0GOaL7o0VOTc89r 197jPbfYw4ed+k5tx46CfnpQsv2dU0MfOl/E3Yzf5kbcb4fZaXMse3YztSFt 2oiP11BTZOSN1efFytQWLFtjEtqcx0LPX7qa1Yg3IN5F2TmZSHYrFuKicZly x1jRfI7DcQzE8jgyiEP1n5UqzTUQ+9sqaQuD8pWoTFIVA7HqSfX9IDZk2Ou0 7+QlF8TgbNJeXevVXaQFEjejb3KbGnwizdtANuRhiHcMSTXoSvT119VNbo4z N9oZp4QCcEJsa8Gt/hCDOzGJHyHXCDshBvELzeqE2NWr6bjLsHOc5cv/YFZW ejQhnxRco1atL4yr7dtvHScB5r4iEEMaEc7gcu5DeK1eel66dBwakcjDknzB SfUmsU/KBTGUY0oB/02LzlqFOHCRKdMZ87CaNx9loocCMaTKiryVqa0uVcqH WXm4dSsO4oKHX6Zm0yXiw7Xv3Mnktf4CTbMgmRqORJXei9L+TQst19TA1N3t 30LpVvw6F8Su7z3O8Yk/HRADlO7rkKFADMe8DmzXzjU1RMN9c0ZPXHmI4+fp XXZg6yUoWdJnCWxVlsGyz2mA5edUZXbbglQHffBQ48bjfOYXqtm5jbODll33 +aJIcaqSWMfgrGJSTQ5N/Lxtr5kfWnoorevC2ZZ9xznCjyv+3y7MqOPp176f xfm7+nizgwdzcfcmmOXw/cvZJshFhebz7i13KnQ+fR2KN/xgFRWPk8q1n8W2 7gRWEyY0MkEqgRXK8UVzVtDLBFMZ4WhYc9D7KM9XtlOw3nLId0Rsi+c1bJYU 9jqjI7Ll9NlSLoWFliLScVa23MT6E336KobZTWn2a3f+XYsuBuShtFYct9tV o5FJocBXTrMTQEHiipqtoBccFXqoPfg9b16aX7kyup7pn7cdvpJ3t3JlJ2EV +uQL14wkD9+pp+C29gURCqx9QXT7yTI3iA6c4tD7iaxZ9Saz3bK6szk2u5hs vxUoIMdGmBn16tWbbbPVW3ZzNsnwESO9P1+njpzNZ9TTTJ0AY1sHcwU2aFWs k/UNbJyVgwIbtBsR2Oy06jEUX+TJR3VM5aBHqarKHGxft+MPM6Mp02bS2Xsv xX0pthmkAHw+uCjt/0IOanh1+xSrth4vWkO96pTrHtp0F3QsL73cHx0RT20H hPovTmLyoiOIz91B0gw+S001vdRwwpeOSeghBHPAQB9XoEwJ5Bp7D+bmVoY+ HcIn15tsYCBKBZ5EWWIBPg7mdvcJDrNbbezQLY8eKVB7slOM9YDtOAcMINTA 250wAIZ1kMIMHQWAkmDTqtV6bs1h+m/fD/fb71gV2e+iNGAI+w59ypS6fvv9 7pP5rtrZa8fOcqblycyZjVD9vmJFtJ9xKQ3EAHXcwTx19I16Ghzs2tD/R9lX gFd1PG8fkpsbxwluBQoULe5a3J3iLsXd3YsVpxRpoUAptFAo0uJQoLgXaXGX QBIggdh8+87Z3bsnSfv7f0+fS5rk5N6ze2ZmR955B+0bSqCDgx8qf6t06WXa K1ACLT1Y45Z9uRNMCfQ2qwELdHS6EKrzoakW6E9ii9K1sCju1FW3jIyCHNOo zwFEZOr9/5WTWyb++IdqFCo6sXE2mNIMqf2q7FcOaU4MlPCxY+pwm6UfA4WR U1fygKkv6nkoW48Gc5XJs/c1kL8HNzup1Fwgz62wGQjtEIL/X4QUjtnoD1I8 cIgzho6o7KOSiVE1RyUWZ5D+bZPDR95Y9MSdjkKsZ5jea4qzGiRkijOMEka9 mbcP5gewQeDaVKlCeRKvVGCN+cb/jxpVU98+2sOfPw90iLSaamvePnyj2Fin SL98O9ch0vcu3qHYFCmRa/AkbITobrPLaBo6dSx7dg4ZTJHuIfwigPo9Im37 N9msO3LtccJdHGiZ0GA55kDLtRrS5rlvP6pQYQ4pdmm0wOE9Y4TaNXvf0cO8 4E25YvPRlbC39Ovh0/rWYZDRVGoCo37YsVd/RNLs05XVX4vnj9Y1sjwk7xfS e0B6qjUMrW2JZBnh6bO0su4U6JDlbdvyaxukZBkhg3JwlW0D+hf+jHb1i5+W YYmLYt2R+scitFa2Yl3RdYks8wKjB0n5okBjJhJlLGGdJCSLtOhlYErKbD3k xLdwoRQOHd6UnE0p+1g8WS1kpYWjUlkuAKS5qpaD1/XrH+uuvshIt16YCKDV An7+uUAi+yzrZo4FTJhQPQHxui+FRk5wCvO1R9yMcj1tWr33cDqO2MhhLcyg 11TOiBJmJNqAD0wozGOsCXo5efLs0kCojz/eI38ebxjpcQnu24/ZIzxU6b35 PWN93NTBZPPx5v4vtJns/uOcvnWknnYcOuUQZoAu1EekTlKY1YJwhu/Ltc8h zGgISyjMsyvMTizMcF3v2tw1wOYJ/0G3JaBNQVZ2NAgBJRcUQU1hBlGIgixJ T1sKs9hY1weNB0ZCtn2L9tpKoJKZMEl7N+Vd7ZMogRhWe5ji53FK9LKe9ud9 sCgsdSDlENYIZUpDomGEZVJDI2CRJmoswX2VtDi30ykgvDZubGWpiXXvRYyi sthILcATU0sA5J5xhoZMm3wdagmYNZBQpl9HDXHI9N1/nlNMSAbIphYMNEqf tWE2WqZhiLs2a+aQaaAM0JpMOs3lQ0es8no9qEOD7UTdN+RXTRDzeNJnEsm0 zTdry/QMa7gt00IIv3gz3JTpDHFZ6Fx4KHx8fevAA6AGY8o0AEYYc4IrkiYm V84GDPSBjw44ZBpWrVOzTg6ZnlJlSmKZhh961W6pCQ31E9rVQss0DC+CWWyL arswER/25wfJ6wyZXtjXljk4GcKFNx2O6VWmq30FCR4iASWkuKlpBshCtb0N q/MvIq2YwGMsepvJl/JYNykw8AlQa2oFmAyfMSOLqu6tqGJD4R0rgIWW1/Fr /PiJRjHGy+FzjBlTI0BvUEs1o1FLNC5BRG5K9Nixn+m6g4LEhEX1dEr03dcU kzkrd0YIV0OtAAb4qkxIKqGGY60ooZRQdzKuU0L9QthCD3Q2DkUBg02/Ew8I MYUasXJde2SUIdTTtFCPtqbqcsaw8EmmUKeOC+EhNgdOX9NCjX5+tESYQo1S 3oAhw/iKpCm81SxcxH3Hsju9DgiQmsyrhBpDWBIJNbzRkzYADY0vHTs210IN N1H12SqhRjDoFAl/9qANunain5rY78tCHUeR7rc6OYpGxs8TRFhmQ7sy2Giv TSjdoHpMUronTLA/V7iqUR+7qKB1mevzwvqqpTRv3olHFJrSjSa+hEuBN20Q 2VDnzqsc0h0Z6RnWBccj4VLMlnUfQ8zxswMHPvLEuUmIecT7tg4xB69LdI5c PF23jUfMuwmn+Zb0M5TrvDdXrgRL8eako2ptV2IeLf4vWCYP8SpW7Nskm9E9 A5tslcib91ftXJti3t+ar8V80qvZppiDtOV4+EOItRbz7j170Ym/HjjiRhlH MnVwSJJiXl4pifD+r4RcSSTmagS9EnOMInLWfnxsMdln93AB79OlS1Mt5iCP vHyZu5plO7m3Mkt8RQX5hMF4xyOTlJgfLW+fCdJev0pz31NTMChg9Aykz8Zz B4Ap5kBY9ZUUmUrMMSUNZbpEYj54jv25wsJ+KOpFJaxTEgjWXi0FARJAV3h6 ihG3Xr3BiZaCaT0GcI/q1NmpuzV4GNFjD4s/qvEJlwL/WtWglDUHjE6SAuql iAMgkZi/+dBQEd/ar6eR9CHvJ+x/CJ9aLaVHkyZqJL0W81hhzb9o1Mgh5gMa NOD+WlPM0dVdwn1ILy8k5IoWczQpJcyNgNqiucQkeWsxn6rFvLu1XIv5nKcL PGLuosD4IDocfpuOX7mH2FHdfc/efejUjceODtMbzz9Q5672cMukud/LKQkQ J4vseHFIOmivTEnHdUlK+i82Yfq7dy7MEnNIuhyirSXdHGFni0cw57cxX0xL Og4IV7SW9JdZr2vvGxLcrWk3fVqimweEoKarsqmwZwCz1/+S8p7LtJTHlLeo knWI0fPCgptSjuSfKeVp095IJOWfCYWDV67EoFq1fWzElZTfvJlJSzm2qkMH Z7kISU5VLVDJUGSVEi5l9OjEUv7uQ3Uh5bEeKX/2nqIKf8rkIu1atDClXM4q 0zQHmHLgXIo3M6ajVdwj5W6WyOb+q/XysEsGTSXynHICr56+CYpQ5937cbuC Sv23sdZpQV92bxkoYpWg+8X7096Ia3TyxqOEgq7AgEFS0LfuPaY/JWlBLyv/ GhPn0KmSUNB35dnlEPR+9fslqDVKQV/fmp8muuF79WqUpKAHy+dithLaR4qb 2btUIYft2aFKEHQVZYbmuKrlHHo29rOxWs4RTUowu5ZzpARVEl4JB7jHlNOi R+G2W0tSmSi2lkW1rN1cwWnatKuVlJAHy8eXK5cnEWXbiuRcvAClk0x9k92t 9ItD0K9cye4ATA0ZUidAuq4IsuVO4RJPNjCNphNQKxk3rnpiMY8uS7dfxXjE /EU0RZYqx60hHZMW82Ap5mDycC7GhxOEmwoXVoUbRrV7G+Le1X8emXiohg37 queBapek7dDint5o7FHiXrnydPFbW9wx4E6J+3fXV5ji7hPvpp0RF+jMP88A wg2W22WIOzwXJfHLv934PyS+tFwhMuAGipyJr8ys9wG7g0VLPiZYOuuCUvKX 9eA3wKTRvn0bOHx2SdGiCceR9VZ3V1aKDWiz5FRZj/T/0sDh0Dz/5KTSOtvR KvW1OkXRBprQZY/xilFgOC0zI2uNTCz9LTZp6Y9rZlET6yduqGvSpIdl+uso c+I5JpdPM4sBlFUGBAkX2Sgm8Q/+4nGtczgzJ04UcESl8+ZV0N6A6gEwHRls KZAC5jomTaqWINHiR1HRnwrZj/bIfmgsvatUTVF6mP66cmQUYfihnDkTLaVP w4Y6LPUxZH5Q8nGO0LRKlSnq7nPmPJzIl4HJh+k3Zb5iRU8Ksaa1W8v8j+d5 uLKSee94F/305k86fycUhB1K5uG1S18GMh+cRMEnaZlnK9aMatasia96Eurs SrPpZcBLLcxK9H/P9btD9Hs26pkg4yxFf/ZgfmZglhk0qK6Rg/GEqynkE4W9 Mop1jvspIf8OtG3qmFeoVlrayxPCis98VHIf5Fi599vzbU/kEy8tvVSrhH0g uGntp2v1R+Mly5s+ShPU9FMhlfGdLGpnrSVv7yi455YnL9NRR64p5JMG3QyI K/5rVagBSoorrRkjR07X5wC+/vZbKd23he83bCjs4Qf4VrfBWKqrFwSJ5nKm TauKv3fJi97H5BdK8N6jEK/imMsTVUsRjaoVgVZVBbD2keBL78Qlquk44YqU 3OBwWF2iBIYg2xxoUkEGpxqppRuKYjQnGY0x8lAIYuC7uYjy5efpP69i7dfK seP410IjvJVyeMV70/o3Bxj/0qFjR7UYMHT/ec0OaVPwv750+UE49Rs4JMnF /Mv0UpewgCiKWPy1YsWKajYaSI5OZT4l5cmjLJtt4LhWlm5NulF0sujEyjJu Ij9GKMLw4bW1WKETUGE41UxreELofvrsszIJb0eiA4M4Mw1Cb8e5ARLRZptJ JzLF1xsVtiI0UAoDyHdChQGpnNJvc2l4C+FZ6SASQDN1nT5Dau7xaM4Ai3pa yxjYW7/+AL1EZCrhAeCxp5KaA06pkiVXCke4+r8uEZwAUuO0TPn4RNOePTUd 2rNlS3nYIBVBJNXbMGeOB0imlMjAfvJr1iy+RilRdGxOoUSRHiV6HU9vmrZi 5qVejRurxSGJKRuIrVRSidCmsax0aaparty/LM4blITcq0GyJcfuF0xG3TNO QBSgQYT5krBwiB4SapMxuJVfZcsu1qdVeesIvze+2bd3GZjulTZh9sSqtzuZ FK1Tly46hSvC42NX7hra5K8TRFC8GfMWUeUqVRKtLhHgwEeeP7igmSxqqDkS yLcgDSlkSvsukLv5Zec7VKpzk84J0o1SpQbO0570uHE1HHUtWa+y0kihCAuz KDjY4rvxSuKeCsm/HTCgPvPWoDHXMXwU8x+y3vNgS8WZdLTyd8yXoX6GKTgJ HxWiDnD5mocRzlxMtlKPikf5WrH6MKp8UKsUjRZ+hzWXfew6dYbqJaLuJetZ NvLEQo4wjKOs/7VEpMvt7qh4LWWQlDx5btDTpyF62Qhcvv22IqyR/pnZwK6W iPmMcNVM3cIwQlkT5xdmbxu6FROXhe6EvnHoVnjbLpghQX0bNNA+dMuW2hNL I3UkTNxwsPW/H+TI2rWZAp8sTz8uRio1zD0bIZpe+Ucf7U+0IrTNennFOPQr Vao7mgIIr5Ilv9b6VdL6U+vX0a0LyB3va+rXkrdb6K8nkTiidFzcqbOuM6SS CG+lXxfuhVFgULB3EotLhOt0y0Nr5kczmfllgnBGejXupQg9QQXGfNtiwSo2 hgUfWntoIg1z5oCkhnX/mkURpnPy5Kpa/NAIhGY8rDitFI1Tp/ihyLu22Hle sSIDbd5ckFmBxo+vgbSkJhsF/QRa3qFpLuX3f9vBhl+ooCzgLX1b80tUkbWW 3UxzMxGqDQUJVMRNLcN6xtbUWCuaJ9yLOCtOa1nZYx4tm27RWGsyZ19q1hxt aFkbypaNieTFMpWmnEq0zIwZlzM7dtmyi5ghu2nT7nqZAIVmyQJCpThGW+Cz +/RZJPwAb312h4UF09y51XCIaU0DujOhXI4ZU5Ozu6amYd7V0KF19DLhGuoG B2haCN15Ge7QtLDufZl+d3DdutplF5qGdBcWlFZqyykr8QNdnikT5wXQ6DRa eFLdhCelSCoBNpohzoRzmTJp/NxLId3Vis9yaFzWrMcTrQy7BIfb1Dg0SBlc n1S06FqtcSDxVRp3at0c8o33VxonrBrNfbuW+Xd79urjicc7qrHBYoUyP3Yg 8bOcPn8pZxGAFR0yfBQg1Ykb9tSpllxoZJhly52XlD4gHgAsRjspwpNvSn7D HhZOuzat22RVQZUImEH9BWI1xRUDGsOOzTs6VbPZv6hm6/VaNb/8sqIu7ZiF r7TG4Zc8udNm4nv83L7CFhbIEmrDsPIYUoisHKBnIMQWKq9uHfN8v/++KI8Y VrU1nqJdZ6exE94UnfMmTRM+ozi79c/+xvhWh/ZilvxwxRWK899XKjASffOM GOGbEt/g11qBS5/wKPAii2ZYNi1E9eoT9WaYpTSPAuOYTO7YDPv7MH0F3h+T NdAkj0kSoGVHExUa5Bs16m1lk++P+B4jGYODH+lSXWDgW/T0GVEsuHrz04wZ leD8Gz9Ln0gNUO16986p4PBuAGlV2wAouNHBFBuXku6+fOVoYXg9YDjzmo6o VcvjFAntPJE1K+ul6hXCWZo8wVmK78PsPbO8DX8WgeKxbNmYFRG+LfzXno0b 663AlAu0STwNDJTab/cRHnWVlPDWOGUAshglZY8BmMJdFKYBQByB0oFauSKQ SWgALqycRf7xgaYBmPpuOSO9+/Qb4Am02tGeYzbncTrV6yGO2qBgpyzge/z8 tqb092X6GUzK2fr7H9yWNeurJTR89Hic6P9C/yR+nNwWMv661doaKO0DPFlA VJGz3pl3J3MCIhMDT7Frs642MZwPdWrRic0G4ksceeAnVXYCTvK+j/bxlQqV 26VJl6TtRINtOlBasKCcVo1NmzTZlBUiy+Rbt2o7wV/F97I85cd4dLApgsZi x458tHp1CRExVRKxbB0wOqrbRksipBU1eYwJ94C6Pa3CdLwM+IMVHhKruVtj E31Z8UtkWJWluJruamJLIfYIg5elpfCT6wS/lhKSTQU3cS43STOxxhKWog+b icqVZ+i9UAxhELsQUnX3rcpMyK9bZY3LjwUVVVswR6JLGJ0plSvPZD795s07 qRmgzZp15R9DbsXlvvKvq1ffSxERwY7I/bvv6vKkPmHNlX04cyZzkq62sg/+ clfNXJAw/sogx8UF0d0XLxx24dWoSVy6HffZZ3rtaOeQi7epJyAHHrvAX7fq opgfh78g0kD317b8+ZkRFaf+kLp1MclGrR2gB1BT7ciXDzwcgdIiQGWnZuwi dgycUfHKIoBOJbETPjWBRfDhBweiVLXenDkPWmp6g+mE/7VwGgXFB1umSRjz bp4N5Rk8zBMotuEh4Nid9Pyv8HC+36pMAn8V38t6mou7hdHe+Mv+E5i/I5W+ 38DBHusBb+CUsE3iKztSCM/QQHU/xX3hGJ3jeBfd/UhSLhLuInov5osVgRMH VmBW5Vncs4iCHEbG/Zr3V/Yk0BsJExAstQOqjlYl0wR0bdI16Ti5xh4taMuX l9KP3uC7sjIYrgI8efHVYu4k4fxA4tDzCEAzxrDgBMIk8YULyzLLGdqg586t SLNnVxL7MHNmZXFqQZgxfR4EEjAZIPAxWlmYY7gJShfxGhcdHxRBX7cepgYS KzuQmJbDxfz+b33eOu2Ai82pEo3fcv/mTsoEbLToG6srnyMVKsy1PCj/DdoE ZHB4CnARw8Re2KE2qoMpU96hzJnPMHC4qLhZNLygJamceJaQzoriWYIjFLoP 3gOkaz79dJ24fheDMAMDAfyJ19UxdAvs2sWUZJaCmoaGpqKBA1uZPMb89eDB nDozDN5ORT+urAGiLXsLWtPRo9k81sCf7j5/4rAGLyd9yfW9KVWrevDtHs4t K4PhJZyyvQLpOaSmCLebKWMx+HHXxx9zGzYmIy8sK0RCxAZgn8MkVZgANIBh vAd+jxkHe8T1YF5/GRCQXDoYT4WutK3Sk4fMe0os8Qx3UqvF7iINYmfQLX7g aDnFahGoZcx4VpmCctZRbQpuzBhHyeNSWqqNZkjkdKarGjpitF71hl/0IC+x ao9rgPhAfLUj9ETzOkoapzEO889bedqMMVlDZYFd6t9KB/VjXL26WJA+Jeyk 9PTpZWD+6ykNiRSPVMSJ5IrWoQU+6XXxo+wbYPBTvJHnFfKudgq2AzVAshQ1 rItLnThNgbs9meWkVo0yxz2q8bNFa612vPFlyizSVNrqBosXn2/VlyIbFPSG Vq3qjChWtwVgXXv3lmUUojAVZvYMUow3UzVisDrJyqCWXDWkBMjcixfTm5J7 7/kjh+S+mLmAJVdIV6K7XFakiNXEOG2WBn/OkNp06f4yk11FinzvuKOiRdcp ydPSpQaRIH+dJs1NJV0VrUNauv6ZNoZSxKXW0tUvcjz9I6Rr5NiJUnBdZtWB vvl+c5Ekham4IUxh7jBkaDR1kll/08Ik0xfY3XXrigZJ96ui0DmVk0W6Ex5c HSVRH8RTHz4TvVryeBA7lOIVraw7lbo27UqPgh6ZBE5o8zJ3CCMUFWhVSRU4 pACJxrDua2mvaakqf9QjVb9a9IPVkjdXhFBWUndqZy23iju1H5C/f6Q4QPoI n9NHxqYuevEiNY0fX48pbl68CPDwSFt81pieA/K/slFH9jW4ZFGgNTcY376d 0iNdvnTv2UOHdD2fv9yeFlahQpJ3Gyw9oobSW0KU85f1MTWpNJTq1+9Pvr6v da4DGaWKFb903B4mkaounAApapgc8zlXqLogmFSiVt36XUMwbk0cSSkNUcPw dtBBjJk4VYqa8zZ9/fzYeUla3orJJw3U2JLSNh+qkjcQDySStxIntbxt3FjY 1Dr5gUlmFmoo2UM/X78FhuyJfXNH0Ylq37FJgssjXBoHO8rEahMd+9apeSc9 FylA3hasIAQQ/EBPgp5oAax0yCOAv1n0kzAJyYRMC0fd+q9bN/MANeQjDA4O F/aqqyGMPsIj8qMVKxjNzh5QTIwncYcTedSoWo5b79atGQO2TYkEzQgkEtmU 0FD//5TIRatYyhaUK/eft2/G7nX5X7sw+0yc2x3z2OxIyFsnQ5Rlrw4ohbp1 BznuFlgOVelWAoowB38OXidf33AloPWsHbpOe2fMUEoVl0YLaNf3g1lAx0+Z oQ/xpO7aDLgLJSmsRaVUwLldX5gHrGnm1cF1BmtcjhbWYqe1sP74YyHl7sMI O9N9dtZa+cBV5ZPhcVeAzpc4BeyBLa9iJ13RdLXqJnuEjThKkVg3/NRngc8S UXiAPgGxvimyOIkh8shZv/F5o0X2s989IrvXou3irIXIFiu2xvqvBViWh8ys qnxYXl4YyLuBzp8vgmNWDahBo9PatZ8xPgNwM6T54uO14KILvUuXZo4FjBhR m3sgTcG1D+rWTD4eFeVyCO7TBw7BfbZ8LYvH4jJl/nMRpzwlXquW9AnxdyBw 6591CJtMtHBlyHCBzLIVCGdbyIlC6pbRX+3vH+qQXgyqhvRWqzYJWSUlva2t 9f8qvR3e96NbQnonTf9S61xStw4fUfmOBZOU3txSQJC4wBSZWCvWUWZH4WJ5 yeV6zsWYz8ZoMHFSEv3TT58ox7VTp3rCFfv3xG5F+eTRUAKWAC6Bgxam4TbQ E7qUZAtLfKHCZraw2CY05IX6hZo8OtJ/1N7A4rKLmdbblGwMqINkz6o4C+eH luyG2zySvc+iXVZt5oAuWnSt9sDr1OlBCWuXpjGuyP+6GWbv54eHG0fly//B YVNUlK9LrhN2ef36yqq1nEeAhIf7mq4oJmsndEUl14KWcMxrwp8vXFgO6Vcl 4bGxwhV94jTNT1dtZBFaXrq0hzNIiEnCEqVpmitI9xR/F+rvT698fXHKuw3B /1sE9Z2zjVMkkMCawVQ76rWfSBC6vzz8bQDqWlW5JA/tsouH9eB9SpTADPs4 pQC9rKVaAf6ZNEL4Fx4FaPO+Fw/6nTxzjoGFbUZut/v/03xnllICocZMUeQy rqW7xgYU6U30tiLbh/GDwpQr3YBVv5j+Ig2oN0DXmGZWmqmdUK0bxU9p3fjl l/xqViMykXfupOKkpqz866RmKX6iQawP6HgFPffVq+lEdP0RR9DwFkGlEnYj K8VNG0FUSrgdfpEuIw57n/E+bSm3UjENsBcCjkXjRIATA10wrRMoRFTfo5oh h9H2nNkvvN5T4JAgfAOgjFPhN+GWeFsxInxZr9YJBkXhMpKdsAwmM2FZiuxM erJkccxGhe7ZkJArXPQG42VOccNp0lwXX6/SuHET6LSwDeKUUMVD7Ojt21lo 2bIKbPFVeIYGS+PgwBiDSZOqOtaJIT/Hj2cz1MqH3w51I7zN1q35Od/h0a0A uvvYGeY9/XYzB1orSpTQEzh7N2okjGhAkilK5k+CnCVLxiPUwP97OX16bsr6 sWBBOpQjB91MnVrEV354X4W6wcyy9T5NqUaxLzXMFGA/u7nSc9jAVapZc7Rj mdh8kEGYhw02G5z46LbPnfs3Ne15nDVR6xqSEmbY2OJ9Vy7/T5v9lVypm77o 25+++ub7hMnIpN15e659KhstHPicLma4yNKIRpU1xddwSgDzlAAIGFB/ADPX oNII2jSo3/3k9zkUiOceeBkbCnXFz+eXmw/TrwrayFwmUsGSnuhgx4586mHB 0TDGVDqSiwVlhRIqiOQgsGxQv59+KsC9HbC9KCSMHl2Lae1BDgqVhrsN6AEm OX04/wnFj59gB8PgpFfKI+Qp+DVdLr6b+jXoZ3nL28FiJZmVTpvcTH0TVRd9 HMAre5D8geNcQyy0rPQy6tCyAyCAblM/kaExAg2ln4UK/aA2AaIkEdTy5ckq FiQ7qwiRwYwpcPnburlFmOrVPIMWYJRatUZxKRzhYdOmXZCeYcxxUNAjYQrO 0NSpo+jkyVIUERGkqaBCQ1OIg6yECJgb6R1A1lZCdfTzAii9Y8cWegew4Xgg tgmwz1WVgcRBiW5qQHsuXQpxa+UNoruPniSpvCuLF9fKC8DpPRuBzapgZhaZ YE1IMOoTaLQEQRaG/6KmCGaer8qXp6lVqzI4FaSiXZo35yIDapFHs2enJ4FB FJ3My+Dfd1G0uI8/kpWm1pm/BKhd7ULx4qtUJlEdlKzE4rDVuwAeLn//l+Sp PnhG+gAjX7nyDPE0uiEvpBRccULg22sLpjmyji0+2Ao+Y+5CreBArJ66acO5 L9x9rbKNheQG/h0aw4DWnUfOWFLf5y9dKfU9SMbQoHj6M+uftLLESob4i+PF UkPowI0zrco0OpLjCGJjjp6MZDmkHx4cjtg5FeYUULnQIhsSq7eRbNq162MP RUtrbeMLSRsPTxPYO0AHEDx06NBS3pA/Hx0oGeL3z54FUPT9jBS/qrMNWQUp vytaOsb23X1I+4QuFd0No6W60oGaAIQgXtcNvBlwgVKK6dVhFJ3iTlSAIJUt ReEANFgDRCj7NPCpQ51HT/Wo806POhcs+KNaNEIR1Z5fSD55eKU5chxlqHed OsNYkNSi4cFVEIYHRW/0QmfOfJe6d18uDsBGdO9eVs6guqXfCVv46FEI7dz5 KQ0bVlstuk+fBoqZ3dEmB3ZEc9GADCuyCuXK4nmgajh0aF1wJSiNjYlNKTT2 eZIau+bTTx38FIpblFkgxbpArIi+CeTzh9atCwZhLXO4Htgg1AXQYQcUguaO s1Nl6PDf7NWQWmSaBwpKTThg01Ha3f0eBs0IYf+mJHBz27A7C5uZ0M2FxmKg Juyl8HeUZm6xmmrNvPjNbAqKS57o6J01f4lBbdFJjwQuJOuC6D/CUAChwTxS rm3btlbSw9lUchTnJ+DWwOSJ81Mx/KEv7dtPv2XiOCGS/lKTIZ1wjqGOy0ot YyIVhWX8LfdvifkC8H2V/Vovd+7Mq2nBhI7qpEbqfy3suTgFDwgecGXCv1P0 emhdWr++MAf+8fezEM0ZbBcKAt9I58C+3ehUQoAKHKUl4pTyGB5vTpDAqUC9 0owhQcHYzmDJxHl6OOdhhy+MLAq6aReUXYACikM5Zw3zKOcWEclZteRZ+6Na eE4RUahkSGodKiWs4nlziIRra9ceoTlvwS4BnxhKmjPnLRo1aprYsBJC0/xl R5IPb9izZ2no0KGCTEeHcVpq1TgTASkHOboZcAJNDEbZAOM62fClZzMj9dK/ fwNhNUsi4FRaGh2Tnu48cWJ7nq7ZZGtpsWIerqzWrelPiXVVvEfm2Roif/bB y4udYaG1ctkuPpO35s/PgWi8Ir5zEwDoT8Qf/uTVgDqn+ZIqV5gFU6YWC2hD 5synyIkhjgPXsIOHBkeknN+nZzQDSYu+dxvPF6eU9JhVVivpyU0LKSA+UCtp q/fdpZIu9tBBtW1Hvx2/yNuSOomiXYj8GabKff/zLurTf6C9aKmwF++/lgrr Y8g05AvcAPuFFzao/iDNy4mEH0Yhgb9IyLWpBjhProsgCr72qJqjNMIffGNJ am3dX7XWbt+eT2stmPWdWps0IielEU7henSUICfXr18DebtuPpohTGgqj7+e h6jrN0Tpn6jbjnNHUXjmW3Sy4B4OqYUmalprBLKbCm3idLxqiAQwEbxj5mkD PCOoYD3a602XMlziYcpHsx2VlkLS7K1t51HdtSJMtxqw6hYuvFGt3h4UZapu 0hgcpdYAhwG3gxYttWqUgYsVW8PHSMGCF8WB2J6eP0+rtDcy0pf+/juLMJWF hMdchbmw1Krhm6BmFB2dzPKW6gciw4ED6zlWDdp9NVRWUbEA3wCe6NOnM+ne xQ8fsgnVjXBmQ79eZ7vEIp5Vy97vGTIn20eSht8o+Dso+QHB69mkiZbNtuLQ XV+kCBM3xCvv15dVGJn/361qNN53OFXNvlocppPgwehlo7SJojs6TrzlzoI0 rqGcmKaWXafOcLGrTw09BnH4UQZAhoRcln/r5qFSd6zsakl06LcV5Bvvp5Oq UX0TuME2CAeAGo8eJw3CSSN3ESCcFet+pC5du2mO2fbt29OKtT9iwrmVKDZW XqxS79d+r2niZxPV34LN5FLIJcbIK+8TRzfGDSOjOaH6hJLy0iSHn+JdW23Q Gv3zz5/ohwtG5aTO4f/C4gYnAMuBtE2EZErEQexx/Xpau1twf1WivCCjklT9 tj16n/IFXc/1Jxdw+zTqo2svCGElaMZRZ1tblHsj9XWY6CPhuDoExvtu+2Qb Tao+CWk6rdvA6h+o4tHtJRZtslrI9O73ah/griV9LP87DDcFqfLbY8bV2c6f /W+DBn3EKfIPnzj162+nW7dyykSSbRWfPUslApPcbAF79WrsoQr4vDXnFiIj XVrJUa7DdeYOgDFZwewCtK9k0Q8/FOacRDiyS/afR77LR3eevnOW675awSfZ 1yVLalHY4ZmZJfX8f8NvU8rrEDIPqF/f2AJvcEZzM3OcpRLHboqBBbYK0BxX P6oWsp7DERH2etiV2yBvyEPbla5j8FC5cgsdqwda14nF94S+IDcA1T2m2fr4 vFNqH2SFi7tOrtV+56lv0biv1L5H1DCupUydNU9viDFgS3bA/G84bkp53eHz fzMBgGNDho3kcBlj6bySzJGp1BBke1C9QVKh7L+WB5mh2S7Wjcshl2m+2A8R S5dSwUGzjuyoewJkaQR6LDOKjgX1QpcsKaMpelQ3WuJeGWclUlFlgAYZJ4vn Vl3cWsXXTRqHz1V3Gy9c2ieZrtN34vzr0UQ3GiEBgJl7ptLDusG/gc+uUEgg QpWYIU9U4uIEAfqK9ogzQkPz/Wxq3r/yefR+ukWrrU4sJp9++q1aevHimhTF 6FJL2HPhrGEqig2c4YrFUek9KhyytCfc70GcQFb4kOhocTT8lYW++aYEOBXU +mfPrkCvX/s6YmfYTvANwHtXpb2VK0toRJJSeVQGkIY8eDCHScnx9nVZum2z iHuwdNPmssovLV1aP/gfChfWKq+88sQ9Nc7ip+IlgMorDkgl4eA5feNWWWtb 5e0sWrAIhxpTw+TfUamSS5EkVKsHKlHOGdJuOjJfqIfCDVCrh1lQ6CdFowku JqAZs2Y9LhuX3FTAuszUZepprb25Gq3ZSs8HRk7iij9KRmoXMBZS6bly0xP3 3TjrqMnldRhmp+gk1S6AShUuvYbnSz1/vHJDAj3/qnxiWvPlJZdrPVfq8CTw iYbSlpHXoQLqhMBIJZcJItWkr1YJCKwSn/9r141iBUmKw3zDhkJ2S03pE9oJ f5nyEXNxw1lXztPQukPpdsrbjvXgrMbInh4GjcePhX7U61ZdBKBGA31ImG+Y zJH52dO/XqTxKPYgixZafVk4SpT4Ri3X5jW35eX/2lcTrK+LU/S62vwC/hQc HEEXLxbSB/O9e6lpzpwK7KWr5Y4aVVN438EObcajQDzdrVszLc846NGkYHrp 8NqBQ3zzxkfDkMMfNKDboTEOVQ4dNYnVamHZsh4hNobLmY2o/3V6K1VGCmxY nTrGev3psE1jrF/4vD+sclQ0+ABnlqGbas3glwBFqKnD2EPMocZ8UbVmBD/g JTJddPQvoXfJ2ztS6zBAD3HGZ89/utTk22GofOQ8G7kzdabaAXjcSj3T/B+P a6XG15+/52qWZwfctOvIWU9PouxLfLRtr1RmjAM0nXd7bqxTSdxIkWmeVryg sCtKrFDkbcgJOzPZUoe/6qd1+LvvPtUPGV6fSp/+V0dMCik8mGmSUG+7dpWD +qrt8xy3yWK1j60eKsjZTmc67WAdui0e1uC6zBGo9dYkBVd6izrdo6BHSmPt fwtfIIp2efS2rUVTrdGspKVLL1dLBIZa5k3/s9FFOd9pjYleaokNG37Bb3vm THGtg9g25USrJSJSQfHPg2q3dRXjdfv3b6CvQ8FP+T2KhRqNiE+eBBo1KD96 faULE5mYEvO671CW5bkVKqglfl2qlEojWYrDJ6mAWjnXqDM5l+jL6hpvqAhc 26rW7yjHaWlp1Kg3b49TLeMpffrL3CKoludhF/ccrWgiCAhg9k+tlvOsAfoz Y92+NCZ8pklvaMUno2nvVjC4eMyEKeouFn2zVqtluv8InpXnjAa2hKsdNX6y 7j2/LXmqI0qUxvwXK1FyW+njcYOzVblnkhiZXwA19WzSUzMpHsxxMGll/LGZ Vsavvy5ljH+twrxC2I+kelNSyp/t25crwX247VpJD33QcyFoRK0R2pSVXKE7 5ZSOhgqvcmrVqXyFuu5Gmhta99Lwv/72LSvaLM4ViluvbtEAizscwWGj/x7O k+TzS7KlJKX8mYJWmkuAdGza1EJ/DhRi4MB65iBOdNegn1Sdl+CJBA25uQSk /5RupTF08OWxydAfeea5WK8i2nTi4uu0KlX0eJHSpfXonvTGsafyyiqQhaeb cAUcIqt0rlWSgn1eIKvkKaO1oYIFNzkST0CnyClZegXK3VdhqFIz9TNf+ZtT VnGtPu8zZ3WS8oOGwYuWvt3CDWDDRo1V775wxbdafdL/W+OHZU90Tag21556 uGEeb/2dQoOCqHsTm3b1X9XGpAhxybebIQ58s5Oje5PumousTcs22tarNDUz w51gCBNnJebNK6+3C9kJyaMoERbedPJklgSfifYsEZSKCEoxBcWKo3NE7RF6 sGTzzhz6miqCMiv3BLT+XE+6xTGmmHS1iuD7L4d6VCRaGLT8lvA7NrA6VKky 1VCRuVpFCsqni57thLcrYkqaMmWMfk9YhgEDtDqAQ+/mzdQJCqQ+IvS22f7U 7aKPPaE6xIlg8OmB9U51EFLytmY9JkkYW6OGulsMMFbqUFCK/s68eRPd7U+e Jip6L763mcR6qbtFVIscq3lyIEgD/5V5t6gkKzFXhGPprKeORMvb6rV4BLHF h6wt62BM3PDmENPc9h88VN39guVrnEBV9uo2J7r7jdv3arm+8zCCScO6yoHS ieRa+S5oe9zv3s/MWkquAXUz4Ta3Ut7Scj2ktod0Vss1ZgjdZyYsDtEnT66m BQUxUkK5xnHw668Bxmd6M0qIryt/VAsuYD9qkcpZ7tOoD73ye+UQcBxpHSSY OJWK64QNV2dAaiXgfpH2qC21sAiLPqT2omrWPg6uwSBiDvdWs7CUgOMMSJHi J8d9YyAwrrt8uYCW4IkTqye4b1+mJ5JT0fWxCTQUgqTUygP6upSWcn/D6Kuf qepiZLibHh47bgQ/QvKfRFJU8dJMxDO4bl0t+cZBoCQfB8H3adIYy3BT//r1 HbHFAquPEOMhCv8DiQZ4xnNFvPCPdnK4o+4ejZJK6v0pscH3kga/pbWRJ1Wo XzwZM54+jinoLZUgID6IdkVc4mpBz959/ksJYPDnLFnlWMjAISMcPlHokNHU t2FD7ySVQLHUbhWetGr6d7vcTIjlLZUBfbxkeWTm65Jf62TDD4U8nVVaGdK8 IIpk35cFevjwWlqoZs+upH2jgkkEKm63y/hseyQxf2jHNVrYezfsrYUrUC4a yASpFLbfJBRUKE9a+Tb7c+3XuqBiEWB0nW6dkLgs94mep/Ws9YFFEd4BVMS6 wKawXr0BeilIUDkPAGdA4nL5GEtx6xkuv4AhVcp/hw6S3tbNtXVTPZDcF0ei WoEcDOIINSSRrkz5SctyIxvdu/bQoRl374TSh9x52Rx+0aiRWgDa352a4Qw3 fFwuxwKu24N/9SuHdRu+kFpAkyY9VO6dX8CcVq8+Xi0gQ4aLCTwfzwAny07P K/3YZDV3xDCnd61Df4PSj7Rx6elo+F0mc+vctatOVq/6PoF+OOMJHx8fh1gf v3rPEZB9SJvu3wgx7OGjOCiEjliKbsdgt+LXslLL9KHyS75ftIwqNk1Up1GD R+DsVrpS8KLDUe7Xr74WMHCKKr5Y8+BwJuZ8E93Hhg2F7fccPlPrjDmNS3Xc IbBXcg6et74N+9okrJZdNVcKo9i3AMK7k/IOVxtdWpWEAtXbYfcdqQD+D4se i7ABM4/gHAinQS2pVCnG8Cc6U5zJt8RLypt3JwvDqlWd9RljzudSS9q69RO9 nYCP9ezZ2FICCFwBZiSZZwsApXfvpsA2aw3iIGNHebrz+J3lLTXo/oXbFJM+ ozAxfkCdqOWYE7zNs8WZW0ssKYdz5LC85fXVrb06p6haNmUujF/A9DRr1k0v Az1DABB4DhkfLoXZ8/vieK7vMyudpcYdxwtR/uHOZhC7WUqDcsXmp7PhL+nM P08x8V4tx5zabZ4wzkRZ4uXsOnpW7pTY0QKFecqkHUr8hzadsosplku+KRqU 1BsC4m3CJNFVrPhUFJPr5KqTdZu6ffK4bWn8/HstAq9f+1H37k31lMxVJTST ZrYkAnM1ziBxicvtuL0+fRraXsmqLuoOzxqjXlXztGR140NmXI1xSrUwJlyp lsKro66HshaoNuJVSTzAnoAGlKlSU3zoYosuWwV4eilC7ebNO6r1mUQQ2Rza ZUftQfpnCWsYzvWhZo33GTRorlK2Q4dy6PUF6FiyNWM5SQZzw4fX0fYDuE11 NPnKA+rVKz+e2YaOFYMF6sN7H3o5vyuor7W+YfY8Zpw+TJ4ckw7UArcaFA/Z DH1TQb2afpC4VOVyLHBi9epK/Q5bFVUHs7YiwMlKFWPPFoSwamH21DHzGEPG 46VQ2f0UGPiMf9fP+gpgGaWBmIY69s2XyFRrDSwdXYX+CotkIsU2bdqYgJL1 2/bwLmRLIqhXvNmJq1DOBU6eMUcp5JP121SS478V0nm82QRxywov8/yh2Bmw OZmu4Fdlv9IKeS7DuQSuoFTIJb30HyC9Jfx99Tw3b/bAxrL9R9o68F9PP7ss NX9+ccdtApPIJSh/O4SLdkXpajHos9XtX097PUTeCvjslFaqJB/SA+cynuNI atfHu+AxypUJ1cz8gOiuMYQNdqWVRTuseuRrvecJOq1b6weL8q+EiVnZk3AW VfZaVT+SrkgFU5ky0x0rBWo4RYow4VPbehgR4atXisBT3d7Zs5lCkth0l9x0 uBlgcgbX8L59HzEQVLU3PfwnIz1buZqzDEo/n61cT/HeLrqYPj24E00wpyRl soFU/5LAVrN4Ep+Vbu4+nFChghZlUDNGuN2e48yi/O4zDkNbtuwCfVzmyHFY LVQ5DZ5UtR+jZ0GLiYGYAIHBA3VbUfSXlY/sZD9/SkS9xlTrQxPOTXiaCnvS 369jAfjSLhqAnJhU4tHX/2JhSuo0dYMvlWM2teC2bduCAFLV9DAR4FHOj/5D f73kUWLGcJK4jRVycdnFWl7QRKUSdni99H+pQZ8Tq0+k917vterqgbJni+qA RciRXjz6sMGphD3L/j80VBWOA+SJkISWcxF69uyKupENCUE+Zltt1J7ArEqz 9DmkGJXkfFF+rSm2JkQeUsB9IDeO2TDAjmGwytEcR7nf5ItGX3AzmPi5Krmz qeq8ykjE+fA82vhcFk22xrKkCInRqweNMbi/PBr9v+vIAfrYSKT5nH6pWnWK Xj2gTZDePXtqapcXbesJV3/yZGat5YsWlVGrP3w4pzhw/TmMhNcLEiz8DM0t mEm0ahVjyTwd8Mno0qLi9ODPq1rJkVkP6zuEVe63PHnUwtEncVIitrP/qyI7 C8r2KEXfpIwBw0LH1qwpF+4GOlxHfnjttaqBm0Qpe7p0nsm+lSvPtNcbzIM9 0MsC2jWMLABSG+lYlPvR6SjRY/xnPazlQJhqF/zqD6soS2wO1nMPVb8XTXv3 NWdSVm38WS0e5McKuZ3tX5XaWUu2Z3f5JmUY6OrjtxjQqBe/cv1Pjtry029/ RKvY/85gKuI2ldBBQRnZeWVVxFGnr9/98W4tRorQHNl6IME9XZRCNDI+tNlP pPJv25Zfiz/a1BX3v40aCeZTBFAFgDwxRAP9GXv35qLt2/PTpk2FGYN46FBO LqOGh7vhZ1uKjtaEkAUYxkT55qo1CAklI7toF8xu5SRVDYjxfYfGSTWaaGGZ hdo2nM58Oou8+y8rfamhZdoApHhNdLCy0wD8bdEHH29qbP1MNvXSBr0DGPam RgPYQJJgPl4QiKVNe43zPeAqz517L+XP/wuTrRYqtImNBrwDe7DGKb0DJpJM VVtN711lR5CFRJOQ2gF4nSVLnlQ2Ijw8gImGTBuxapWew4GeDrUL9tASBTG3 //z587T0qFNduvPorccQPI2kd1U+42TRyhIl1AZgKM0NOyckiZeDuU0DALBr 6dLxcOA/smen33PnZrrFjcIL3VyokDDCOXh8ANJRpyxDBDxKr2evmt69l/Qo QOAmQ0x+vfb1tUz3oJtrkVB5NU3OxZ0x6q3z5dueRaoaSHHlcBNKaz1j7Lfh AsT6+tGaJz844uaAuEDa/OYYA0xmzF2kNgLDbf64dId3y+ZnDmLgCKYQgLd5 55Ez9PPvR5mrbc0P22jZtxvpm++3sOeAXq1Nu46oPTChZIFJBABe0sm4cPcV 9e7DE3o4aPjryTtHRfRhs9Y8yzYps6HatpDPYfpR4Zt2FyYy0hWpTQQAHiri /kQuE/SkaoCa23TwG/+kpQtx4OLFZdTO4KSR4y7lhBAfBlyAoACAJhzxnTq1 0PjdDh0aimfi/a/uQypZBTCQzxyNc92k1EnlJcQERuiJmH7S8wFBiCTbYcd+ YrWJVkb5sYCXw1VwmAOsrO06DCax9EQfeCOrLXpqhVAB64qkyJqtVovOAzkR Uw4L8eE4EkdWgQJbuB2wRYsOerUNGnQUZ5KTksJ0F1JJjQedc1m7S5Tq1h3M Melff+VTGv/yZQreaHO1QLCYTTYjR9bUqwWMPDzcVHu7nW7Hsrr0YuJMOPpK 8+9dvsvjY1FNnFytmlooCJPVvEzV+YGyCxgLfhQaPql6dWrfsqVeaCdxvds7 wWM13AP1Hph6BepFLHRMjRqo6Ts0e7r3YLRv6X5KMDopzcbhXrfuICuDEXGB KU+ouC5Vrrdaa4CNdvUbt6TPo3oYrr6LcsTmoWPhD+iGUOIhI0arZWOS8tlb zw3ctw9dexrF1MzgXR8xZjwiAqODrBlnnc1lw9t3YsJ9PdMThFKPnWRP5B4z cSpw5xrahwz1vcGjwFObuESvOhDRw4Rhb2BB++D1QSnznRR3uKKJP1BsJItL L04w4N5tV+flNES8kB0dM6amWj7G9qClAxuXQsoNlBkIRtR1hEtg1399HWRu +Pr554W4zys01F9Wr3249ahHj6Y0ZEhdiokQRinPDe3mxwoFHtSoj0OkT2Q5 oY9yKPIU4SyrrEyXpl2YnhYmTI1joUzCezlfxDjP3Ty7nOpYdMSqQCmt16xZ deroOjMoMuBEQlrssrWL52ThGAe2sWXL9v+2woIF23La1s8vTOLFfcSf/cG0 BzVqjBFW7DXdv59Fu/KvXiVPpLQm3wSUVuy9XmH37o3ZdxLPRKO5bwm/52Dx 2vTg2CWYfdbYJ1t2U1xAIB+SfevXVyuDRkZIALY9L8vFdMiHc+YEiSoaoZNa GUpA7QsUoIMffYQ/l8gzX0d1BgG/kEoeLxpnKXy3OC68GlPTJl0cK7Q7XzwK W6fOEL1CoNKyZTuGQEgr7BRrjAJt6/c9t28bZYvNJaNyW2HrfGhO18LeCw0K pa49ZLnBBfo2rqLetqfOJZd7hB+hh2PkuImItlPIW0z4SCtXrkKTZsymLXsO w09PqK34ivl1QHVP/XK+p3sDzwLaumglyRydqatBUldBf4DEEmCT4iRWuor2 DCC48QeKJw4Nxar7STMCpH9CFJpKy8uTJ0EYSK1WbrcBuZTrrpoyMIcZ7Ofd ujWVxhnddK2ZO+2LLxry0N5+/WzGkrZtW+lg1Jw+5iU/An+HwSi//poXXqQ6 3pFznzGjMjdmxwohp+x3PPBu72jaXu5bxuGo3mVQPVwSbrQnxR1Pf6f5G5kK CSdxMd3L98KWy75zreHu90QTxxsa7msf0bfFogPEcWGNJC8rTnjkd0FlYqnN sbuEPkhJjFfobjjlKFA1b95Fbw4aj6DCONqB70L7FhqIW7Vq85+bg7/DxAVA KMUJpLwBFHOqV5/MBOFp0z5zzCx6/95HshV5Nqd9+5Z086ZnXDiO9L/+SgeG Bb05nTs3Y0Z8SIBu9XCJ4N6PJosD40WLzhgc7C3PKziHrweNZBXE7C8wIJiY uRgv+2BUEHDMMAJ4COeO2pQ2rVpxh0efBg2Y0wRTJ9GL3aZ16//cFHSBgAcF fdzvfHxSSTv0OCgICQCaW748DIjS8+tWHqpRbJZjP9Dobhe6lPmJEzHYRapX b6DcDz+4/kx/a6NUZe+X+DrWmgRIkzIm7/MVoMnhX2FgpTQjPjyfb2LkYlZv RPnCs/ZUY5evYb/fRIf/fuISTZ+7EDU0uTmB7I1jBBm8czR29ez9BQax8M8/ /9w5yM9bbUzbdmyrftx5EA0iaqrSiav3aeDQ4TR74XJYF7NlJOHZ73Zk9UCf BCaCZwHPzLmwGI4p1E2Tri8XEZBEOTmYRuK6rHBI3PHjWRWwa926orqEpowK 2EGnTKnmeFDgYfjqq/J0+HB2BpsD2QDch4c3y6boQsoAbkZoqB8LNowJwvs2 bVorCAiYmECTe+NGWksBRk1MkJ/UfONn7GuAwuXVo5SOPpTI1E+FHztJRoAy 8yFUVQ1hVh1p4JzZXGAz42q7NOui2CXatWrHcQUypeDBAEUGUCfxzIgu3wAY wuY/EkX5Woq9ko3SbPi7KaiKdZDF8qOP9ivRgqsK2iQwEnhaTeIpc+bTGCIi T8+0KPUxIXu2bH8If+IB+brCqaB1niduT7FG0zqrDW22mtIWqwmttdrSDGs4 tbPWUB7rsvBLXlJIyFUe6ACaSfGZaoPRSF269HIwUkpgrz2tAEkLeERp0jxk cJfa/AcP0gnrXsOxiRgFCRY6M3mCBwIU7w8/FOLZt507N7f0ToqH2q9fQx7R A5mCM4j5qfHx6oH68BC3NWs60paglvRo+wFHAQJAb4C94IjsyJtXp6Rbt6Zf 8+aVyQhb0UGpdiJbNhpdq5beyU5CCZeVKkXHs2YVh0owRfj60tsChSi8ZTt6 OW4aPVvxPXPKPF27hZ4t+078bCqFNfuc3ubMRS/8/cWBlZ5+Fn7RKIwbba1F FW7QypIl6V6KFNJVcjEuWcVE71w+yrrBqxnpOx6UL0ZHe3umBcUj8NIPIp5J +wsX3sDtNMIC6k3E9aDWQlyJ/GbGjGd5gLvJbIHzD3IgLJ/lIz/72rYtVCSm lCPkCYnNRDsjLrJX8/XaTWaBQ7a76uIj2J1+2nOEBg4ZLjc0DXXu0pXmLllB 2w+c5Dm/F5+E0dZXJ2nm21XUM2o41X//OdX60JRqfmhCTd93pC8iR9P8iO9p /4sbHFLB2n7z/WbOhSpgIazmgq/X0MnrD2Wo5KKbL6Jp8cp1bC1vPItydMv2 6i9NYgqpxW/cb2hzoc2K21AZAWDDUATAp6hU2OetPqdt+bYxc0SAMoXB4RR7 XhfLhDxaSDp4MqAtFTxNIwfshq6sPCVVsZSA6ujixfRsAsXvFT0GrCiicPxq 6dLSwuK11IfnyJG1mccRzn4KeT0SdRs3FoExpvgR02FnHG1zjz66AGScFiYY d2eK05eTwkAl3Etxj30p0LpKai3pl8q8BzioH2ayFDcpvURlzQ6b0lnPOQFR rtxXnkxoJ54nA4lTGAO06oBXql69Ibp1DHYObTygcQz0fkm9rUV0zCpD4aCz tOxJ7S7bgsR7edsHNTO7MPXEW/H/f1sf0VKrJ+X0vsxMViCZE66W3jhMsEN+ FTFECqlBgOEDmQntWLKkd6KmnlOn8vBwP30etGktzE4xtN5KvKk9AhqOLbLN aGKOiPAcZ0H6gSbj8a4N0vxMoe260e2nUToqe7x5N8WmSMl5lJmVKukMqjBD F+ToOoVdQM8dmDUGNGigNw5mbYlwzpBVfSvM1aveA+nB/pN0+2GE3Vf0Ol5+ lNDOsFj6JyzO02Qq/h7hCOqItx+9oXunr9PzGV/Ry8xZ6EzmzOg/ggnTWzhR 2KnjwlyK+9CR4rPAQFBr0ZV0IRTv8dAwIa9VmkWcklG7B+yEnXaJsOyxYr5s w1DeQmgNXzxInK7IvCbj4am2vPhZkbTRagkiAG2n3taqT+PezMXMVxRw2U7V /tCMLoe94fyqiN/0TvboqUfkqWIrbAXAFL2+6KNNJoqrcxevoEPnbtDJp09p SOQ0yh9TlPziAmA74pF5Z58CvYQYgOkfF0gfxeajrpGD6ODdv2n7wT/RW6gs PtI0Ow6dgmcoh8262P7NX7qSDp+7mWQzP1JwJVZrqsbkyjdxRXIg9N77ve65 QIZmd57dSOpY6aU9AYwQtPfogRWKaw7Wiu200iHeKPyBPQ1/qGr0SJfeupXa YbZQyMEwLDtIlxmDSdXFqZ+eR6iq68hwu1SHmyLBxPA+vDd8XISPa9d+ChYa lSjCrVy+HEIfLovTueg53fovzMTzAn/SwjqTPURj9rhmQA1hmNKajlXV/aj2 WHroJlzRuRafpn0tu2Dq6/tanIr9tONev/5AFTMY8Ip4TurUqzdYikYKEe5P Z+r4T60/aa8lDmtpe/AnscHJKbxdF/YFHh44zQjbO4/fcrfFbZ2lS2srGhTy 2Xu6e/sl3T97kx5v20svp8+niOZtKCZtiLZnz8T131utKZ/fSXa1gKPH5jVt 2oORXCJ+UTkoHOq4tSJFTiPxqxwxOEh//FFEROF1tNlH4M/MSfGqLufm6379 tS5lzXSHrmcWvz9+yZPk9YGhovC2nXmhLwICeDSe2ryhdeoIZ9i2TQq1AVN9 MGdO6q8tVArO2t4U4eTbUuXo0c5DDMa/LRMlZ8Je0pR3y6jRh7ZUIKYYpYvL iKGXHG1Z8clkyTUtqxx6Bd3xbrA5U47Yj6lCdE0m41/49gc6K95HWbK7Qsee Ll5F93Lmpp+EI9bN7l7CdGuuMYX6+6eQt/tK+GvX0qYVBk1VfF1yskBamhb8 BTWqMlxtXvnyc9k4eRxxlzBMUTTKmkoPrYxkBy92ecg/gA5c30/ZY3NL2+QD IyJudBMvGkagU5cueiOHjBhN54REmIUdzPLZ+MvvAPnr5mJw9B25eIvWhO+h ojFlhO1zEyuBxTqnzBL2sFVkd9r91wX6+rtN7Cvx+r/og3I1sNHaHsG/gr3T ySjDFPkw9Sb+EnOpQMcJkFNSMSU6EV/4v0DXssnYA6uFzOyYGmOM9ioXtW/e njYInxVUROK6IOmBxKd7Sm8u53OEl+fPZ+Bkk9qqyZOr67KkQn6hiDRx4mc6 9aQCQ8SLb9+6JKBX+Nzh4n3Pi9d34jVQvMqJV2qVceRKH1Eh8aovf79WvM6J 1yuGcPkaoWlEhJ/Qruw0ZEgdznUBb4zBdsLgJZdGDWUo8JzE/VKfKN0zzdbk jqLXxf6gtQ2nYryMaivE3Gzs8sZCG5lPEAYuHPMoMGTUlxOCcMquiijtXJZT FJbpb4rzf8s2UJ0H3Gf0+XpxuyktxXTNRvmeeIXYwNA81k22bxj+KXwjtauY 6AVIvmkGYVMULbRL5i/A+Zs79+/k5xVGy4Sr9UGqS6yfP4X16EePfj/OvVXw OVKrbIjQ9gfHLtGLmQspqnAxvh5Dcy9b+elzr9XCJTvEZhhZsUqVZqtZCMml igG+DGb8Vq02YHiYmrmIDNahQyXFSdQYHGdqG1EzAAUaOOfQHwj8dni424tH EPuyTw2CZXADnzqVRZx1mejdO19jmiO49v15BFRg4Bta5dWZni1ZA7Ptkgbx 4YFTFJMlGy8Dhg7ukWbLEO4SEuemQbyQIQMNlzQJahuRDwPTaKSwPhglwSeF MF6XwiJoZORsKhRTgvzF4Y0YLBVJGJB4kn7iZ/lji1CXqEG0O+KybfBeRtP9 I+fpWf0mzCuMfBtyafPLl6crISHK0KGe/trX1+NGWz7a0H0b0IzalBzKeUsf abPRzAc4K0qTIETEIWm7ZdFctvQVkQLSDGgLz59uPy12dWVeRQ9NsTfd/e57 Tr4D26pctFLRlehk+BM7Qf7zLmURvlywlOeaytx5gDSCvwrvqe+AQcbm+VDX 7t1p295jdPbFS6rxoTHAOHDJ2GOB9fOJdVPQu2BK/SQNZbiagdJfSk/prqaj dP+EUOqnaSnwTRC5YnzIHlRHiCKwt654l9j34rT8yU+0fuse4TT2EoLVjmbM W0QHz163DaZ015DN1+0IzBjqfkfHsx5j2hLU2MD+/8r/le2+eaEwrhkKRcgN SwlA9/RK05FA0v4nauoD6w2kVcVWgY8bGTqOR+P5xJGenFcsvRk7Ace2wVKQ jCeR20/O3ivw0cv+EEi36mkA6su+tLU2lag0QVdECCtjGmGQ30nT96V4VRWv FLaZRL7knZBwTM7FV8Qsml0T05TEZQvE6xrQNjpCgsV888aPE37o9AP107Zt n0AdtatoZuhiYsQngbFiQT+ijOgSlqj3VOwTxopzIrTwCTpWfiMtqDqLyZPR 44XOADRAggRrTM0xNEtYtS3VFtPFuqvpVbUdFJPzJsX7Rnmq+HAa8/1FtKKb vlV09YrYkym2x1mTxLEQy/JeocJsy5OSayNTcnHaWmL2oZzgKTfWnxo27M0k oYWs8yI6Ls9tfXFe4iEMHMnOH5xDN0u6m/kPUHq6KqIwfEV8oqtSImh5/oEe nLhCL6fMpuhMWdnNumdlpr5ec5lYHSUIGFHAiH183th35UcJeqiEMf1AI0bM oGfP0nlQ9qk4On38OD0dO1aE1q+vIE6zqtS9exOuMKAHGf3FgwfX48Tel19W EpFyNVq9up5w66sIE5oDoxVk4tbXBgteKigi5e/5YydY4+jFmKl050mkpWwo PODXXwzi9hPYS0xq1EklYbskqZy2oYATYNKiubloybwcEkKRxUrSw/1/smeN Kh8m1WWJy8G208367aZkQhF83vmQj4gzXJEu8ormcC65tBo+8b6UN7YQTx47 GfaE3+rehVv0rF1X+i13bvi8PAZ2T548EHpV/YgWuqBa5OziaWqONW5YuWix fwf6PNtUqlFxCpeEkI1D7QHPScQVnGWtVH4Wtco7keakaU+H3KXokZVBHah+ 8iOeTptNXSIHoPVZO5K+cX48BhqmEgjBoaPG6s1r17696nMW72Fvttnuiba2 MROnaGaLAYOH0oEz12lDxEHKF1OEN81Hfg6MYlBUMOU9n58qLK5IjXs21j1I zbo1oyrTqlDu3bkpxeuUoCGQm+2vvVDh/NKsF6tp7ZZfwWlJg4aOoB927EMN w47CpTEVZt8BWbQ9y2i/N3REeAaogIKo7krIlUxGMAszatMwx2Hqi/hRKuO3 MeWO0tN7mXRSGpmZbt2aOEJdVDUVRtHsmcSMnE6dmmvriMon3AUP6l1IZZR4 6tvFq7StWzhIX/v5MXHhrVSpuBkSMiuspaUKWVRRXLtBvJ5zHdNHehswe+Hh /gys79+/vjDOXMxQNCDcRdBtBdpmmfWF+w/Q+JP/KtG4SUQRQW7T1dtte7KH rEqU07rN+p869d9CBDsrEUEEKdstNZIQBg4GDfgjl6yU1RMHUdq0N6iZ9SPd F5YGa3xfWITt2/fDX3EZBW9AU45dvsOhyYEz1+j0308555FOBTTimjviGnSb vKtUnZUGwj7EazqTtCJNjRpD6tS3NHlI7tw3meb29esUktbbj/sYLl4sRKNH TxX+h91MOizZDHoxYiIgiT5S4B//uItiMtp3LDwgat+ihVYQjFm5JmGJCkYI C7ShSBFxhLTUq4fHhicZ3rqDCCef8BIA7isWUw4Oh62Lvizr/sLHT3knJaW6 lYrSXhP+xTOOxMDJraOylHGpqbbwhDa9OcrW5e7le/Ska28uR/Rt0ADASa4L KINnQChk7s/21kB9q15xFqLjeE9y8On4SdQ9cgiDEpUS1/ogpDz8GT+mXUfP OoqWKEIqNnjlcMGggDwE1ymHa9jIMWw4Jr1bwgux2Fm23Tkoetp76ajsorLU sn3LdNJEN+zTkAr/UJhSh6bBJW5ju4ClnvJ8KeZMM9clPg1J/IB/S4eRJ850 WIgPAeF0NPthmld+HsP537neFVIxFixEvit0aU91c/I4/KH164safhJDmJhh Rp7+ZBJQ44Uslzj6tDnAcXjuXCYjYvC3r78uXh2lkwT5FuqvMK6h/v7SJ/bn 38FpihRCBwcKXyGAQMhJZ8rjTSEenSledxOZjNevA2n//pxM1o62ORFsKvps upbX5tDEcAvAlpPF6Zid9xI0D0K7SBzQtL0+unN9TRNyRrzSWJy/bWZtka5D NEZMqjovsAtqEp2dovVxeBqYOSJ0WisTYgnECfWtX1SMQBHCX7v310Mz1YQC +p/XHtKvh0+zg480ha88yvA7xAcgp4F7BGTdtWdRnOm9+TImhRJi4Vg82n1U vHtbTqM9EVo4wXs05f5oD+dvMFtGGDtVyCxY8BJNnjxWeL8lhRG282KBhhAg FLx+/WMuNNao8ZulCH2+8epCLybM4i5gZXVgJd7V4OmUDHReVKaMZjzBHHnJ G6StzomsWdFvr0pMvFF9RewG0HREk1Z05xbPuKfJkcsoTVwIMaGardRwZ5Lf T06ZxfGV9URWcoe78Rz4EYozkTAIEG6O6514RbnIO8qbvN97U7KYZCn4sgBw V1OZ6Cq0+O1mtm13xb4/HjiCZ17PE5HjMST5vbzy6pRYMrq/ei11iOoD86Ks S8bYrLT+zQG+T3BXTpoxW695yqx5bE1M67Jl92FOxnvW7KI+/QexFZr5diUF xQUrw8JWMzQVlVpeilq1a5VFXl1DeKBZr2YnVyxf4mMYloyxWWjki1n07Y87 MG+Kdhw8iSSaLUKJDYuLJo6aTBHjJlB8nhtQEh/DtsS6I+lqpvPcqY8JgW99 3uYzbUvu67RvWVcR0wSaxaJ//klNPXo01ltgM1l5SSuhsu5uWrastLEFdq8U +L4QgOnETZw8zbPLkUJCfE5nzkznM2bEg1FAFRSQ34lYDGBYxfwmq2Xy2JCm JEB8P068biUyJch/nD2bmVni0ZQRGelKpSAcaNy/JKzq4i9EULTEZtvv/rVN QjZ4jhDOsfbvdtQTAvCxCJ58pC/lb9uSi+KV2WKvdo41mIKtCDYUSC01a6by n/boE3Q/mKNP1BB5P78wrgt6NsyubaNBr7x1RPsmETipbz61vA23F4g/FGAA xYEo6DKYDLZE0KUZ5GBhpKss5TWA8zIPjl6g1/2GUox/AL1G16vVhXKFHGKq 2axZ/wRS0QZwBfN40mLFzlC/fgvEM+7F03VXrOhGy5f3oDlzBtPYsZOpt9jG OnV2sn/jcsXI3kMX5bWu0s3kRenZolXCikX5yLAQ6ffQ0ZMpzs+uN5zPkIE6 qJ5nHw6W0D2h/AWcHip2wJgajKk3N65j8+bcnvWuag2xWTzYio91z8w22+8P eBFAWU5moRDh+CaLU9kbtiBsVYSVgafGP4PF4ew8Gxb7X28RrxeMKU7jIhfQ X68j6c7tl/R4+jw6mTMns/yjtiiM5EdSOiOLFKNzV85Qgw+tUc/zkWGbX5w/ DY2aRtfDPvCj2X7gT2AOzGAHmRrTwsD1RNnNtDCdOnelPcfO09I3P1HyuFR6 LUK4s53OBl9FjrcXfkvfhpT7WB5yx/gmNC+p4tJQl4hBtGX/EVq14Wfa/cc5 nDy2TCUyLwqh4ev7nvr3XkivJ4yj+I+v8WGs2ieRygkNuUPHsx7nWVbhvuFW LsPKxBY/RRtmDKUHDzJ7SN1dPCjO9GCA5j9zJpMjkMEkqp49mzisDEj7379X 9sooke2wD3wez5k6NW0Xwfet1Kk1sBaHWZzDnATxtaC7QFXnohBJPE/UhQGl OSO8HmD974hgCNfEeRKCplurqi3kK74fKV7/sGVy60YQoZL/pOeVINEOdttc pmk5LF4Z7EwyMtEZLGaS5Sx2pUoztQ0GcBi+hxnuoPUPA1w8u+PGxA7KY11h nnnc5pvGLWBOFKQI4nfg9DVmfT5+5Z4yJKAiU7g/H5mqwaXnheE5ePYGI1fY ndl3nGdBoNln759X8BZ08d5rXOsr38oI02XoHmAjha8+oOcLVjAkEaRrR62y 1CxgNePHs2U7jvx4FilsYPf41apDoe170IPjlzm/pA2JuNOX0+ZRbGqbpwfd FJOqVVPb1F8EIapdy984R37LkwetQpbijwLJwrtPCtF9sTjc3ay3q4XxSKWA QrAFsBn5RBAd/DBYqZr3B29tInxk0gWXBrwMoLTX01KGCxko8+nMlE08bDg0 mc5m4rdJIeJ23zDWP19lbey3Ud6ObXOEJmeKy0Zt3/em/WHXuSXt4fZ9dKt2 fR6hhxFCUd7eWaQIR2fIRA+2/kYT3synnLEfG0kPN/nEual31Ci6EPZad10M GTFabVO/gUN0M5e/cXBALIDzdKns69bdtCXsGGWKzeZx3EScHedNeX7LQy06 tZC9Fi5q0q0J5duXn/yi/T0mx4YY+Ar7V+H9Z7Tk+o+MqUI2HBKXlMHxkTLg 4xNNnduvphcThcHJf0UYHDWUWcI3/d7SmxTP6JXw3zGTKtorOquyRyKkjmz0 E43tsZi9XhMsgEL+kSM5uBSnNgPVZOBeTPfmpXiiGIVnGp4RI2rR8+f+DsPD IdPvdl0K6gZDslP4ni8DAiyNgjMMj+KFhxuEx/l90aLgceW0nDgPAxRyUJyH mCgBhxv8O0dy5KD7KVJwIiZAGRwf8ZaDZcQWJw2OW+aoA0QwmBydKBwUxsQk y6rsKhLiq+1EOKLvNVYnymopsHEs5cr1O9wYtTdIBcv+Qc32huKxGvqmDuTP PhtHgT5PGZWJfYisWI3uQcCMfgFMmNgvbM+6n3fBaCjuDmSIle3xlloOcYWd AX3uhKkzeaCbOCb19ogTs6/wt/GrpavXM2suIq5/tKFI2g4BzfBo7wl6NWws RWfOSm/Fz45Zpai993IK8nvGye9kyWLTSRlsbv0gPL+CFNa4FT3acxRDBWSe 25ddqhdzllJMSAa2Q3Bgd4BrsnVrLVgYwPfO5XIYI8y8HV+jhsNmo6nktYiz H2/ZzcZoxdtfKCQuo2mM0ovwPc/uPAiRtBJ+8NLGyFuqPQxRdnHKFPu2GFWZ UYXqD6pPLdu1VPvWskNLqjekHlX6shIV2ViEsh3PRsGPgw3L4TRMvkbqJyA+ kIrHlKehkdPpz7BHXB59sPMQPWnSkkIDAuh5YCCLp+J0DoMfe/IKzY5YzThM 73hvncd2iSCly/tBTM+EZ3TzZTR9s26zJnVcupIDYtM6Hb10mwYPH+lwiCbN mEN/Pn5MJWIqOK2TF32852OsVnZ+u6h5l+ZU6NfCFPCeV+M2orPAuGAq/b4S LXyyQVojiJFtjdR4lWTJ4qlmzd30z/ThFFdlP8X7o1El3hyGGZ8sluK8o8Ue xGRQdkqEAXHCdh0bO56aNNlCf//9kTmWWfU59OrVSIqMD/pEae/e3CZ0QHdC wXbtEetCVlfZpLZtW3LNyzNpQ9qkS+L1sW2T4MAgfRPlckn748fiSh4vhu0T gHfrhT0aXqdOiLwd0CCMFdK6VtigP0WgL/wg6Tv5m06QLMyIVzvxOmIxpwTF qzKcS6PgMZ9WGKMMKv8cK6tzley3eC/efJXVWaZ8OX7iMnrTpt31DqFRBdT6 nk+O1/g6tKoCZYT8r7JMzZt34OJVT2upiN98mCPwwbGLTssklA4kRbAj4mDy lkYD4ZXJU4Dv9wmRhlUSJ6jepA4duSsS3Hw42pDv+S8rdFtEbA+OnqcXsxbS 26o1KdrtS6/E+o5Y5WisNYGKWufIbX0IkEY3wHpHn1iXaaA1TwTSNUSgmJHC q9SmZ4tXM2XbbZUbwL/CY3g+ZwnFZMqiHyui7U7C9VFWqUfTppraQlklNMQA UYTUsdq4LuI6jBZ9JYLG28JGb484q90ML8M0pbmRhg2JV7SXtzz0kdixjP+8 Yrwow8UMVFy47vUH1lcb17xTc6o+qTqbokzC83dHuP+nGQKcAPiqzu8H0vcR ++h6aCTdvf2CHu44SC8HjWL3Mt7lI09Jf4oLDKKoTwrzKh5t+51uX39A34Rt ZZwW0j6o6fvKT/GPC2CzdDL8KT80nEo/C5EQx41n93r25lZY0zbBVuHhI9ms bFO37j15DFLfyLFItHsby8p5Iid7Tp/KS2GVS64uRakiOMnMdyMtUcrYNJ48 T8OGfalMmSU8FD4w8JmyTZkyPaRvZw+mN8NmcGgW7wJtb3xmZYRgk3LfoH+G zqB8ea/QsGGzMCLTbDK5cyclAECaVHf8+M+40cp0iEB5Ab4z0yECfbMzEnPb ZaE6tuHBWYfmAyFd3G/lZeJq7wl3Bt5P70aNJCw3mPOIy0uVYmsFFwj5EUB3 MDMQfaewBWBmxjkN4IaPDwgBMC8rgAMmjMTB79BLgGtRUS5UaCPnXerWHQI6 G/V8BohAYXnp0uxZCWdNp6ozi9ufajEnBkVbmaX94kgNFfWr4tVetlX7MvSn h/U1JbfCtb1Cmap+/f56M9EFB+4004NC/0Pt2iMdTgBmMSFwu21l5+L609U/ IPAxTdQfl+/SLwf+hB2SPQGqYUoekAtXfIe8pNzPjNTri740b8k33NwJ+Jvw MNmcY1wK4NdgtrovHtJzcX7DI0UGDgl8sNUw0EaEvYBF3xYnyLmMGRmXA4IL ZFYx4Kxtq1Za4OGPAXQMvocL9179uwFMZ8N9AB69/pgeHjrD/C+hw8fTm7oN 6V2ZCvS2ZFl682lZCitahsKKVaDXpapQWNU6FC5cjbDOvSh03DRuWgEa646I PhEf+ksLeP/wWWbKR3swyQQi2vsgZuqRzBYOd5ifn8MCotQJJ9x8JBvEUt8V KCzu8xFdDYukqtH1nSMfLEp9KzVlOZWFuIRr663HEUlzMw2VWFWCmnZrqh9J /QH1qfjq4pRrvz0XQR0e6Pf4cecB+v3EZTrx1wM6d+sFXXoQxuk9dOgjLX3l 0RuOtjHqGKlmFMI2bv+dXeDJM+digirbIMWD1frz1lR3SF2+h2wnsiEEldmu dHzz7ng/+JkM06r3oRUNjpxMK978Qj+EHxJR3xH6KfQP+uXFH/Tzi8O0+eV+ WvPqF1oQsZ4mvVtMPaNGMGopd+wnFBhvu5B+RsxX5EMpmv9uPV0Li9KNxLCb Xbp2V49h+pwFvCTTlCLD+UW/AQ4zA6jnprCjgMtaph0NuZuBGvdqbKXh69LZ x8lEcZysL0I5D+akkMshlPxBck4C+ob7csIP5QOUEoCg8HvlR4FPA7ngieMn 92+5qcj3Raji7IrUoH8Dat2mtYYh1RpZi7L9lUNEt376CUsbjRuSNtqP27xA IYBUOB4v5m+WLr2UCzbCMtk221cYp8f01ZCZ9KLvAor99DTFo74FYgLx3jYA wB5lgVA2Pt9VCu+5hFaOmCYMyVsqVepP+v33ahioZplW/J9/UmH+kpbyjh1b MF4dBX9lxQEM2LKlINORq+1FJRB/63EhJYXAVNvDgnGAlRQGQdm9OHtquHb9 0M6BSsuEzz7TLRbDa9fmLAvKwcrm13JvI8WMa8+ZDGKbCWwkQHhZspzg6YXg /0AuHTuIMBgzY0Co89Lf31/l7z4SHz1NvM5aYHVEBKy7jthaR0oneIqFrh4P E4Y4KhZaX1BB67JuH8MtYFRM3bpD5e75oD9aMtSqeqDHzQTMAK1owBkqW4H8 XHDgXW5JtNP4HRFumub71M0n9NNvR1Dz85LWCmgpE9eCWBjGeujIMXojAapG XkYEuJYy9i9KlNalkdRGLhNGG3kCnLqrihdnDhNwC2IjgT+ct2QllySFgc6r DLQwKC8mz4ZfrDcJbiMwSf3r1dMb0l24g0eMsVgmQBKF3zXi4xD8qg3Bc0Px +Mm6n9ngT3y3CCU303hCObMfzY5I1ksBH2OcniP0Faay9ojavAiYtBrCDcm7 Ky8FPQ5S5mDXowu66JFa5hBuvY5jFBoIiuDYo3Pvi779VZ923aF12RBn/TMr rENe+U7JY1JS78hRdCjilqYlgR+4++g56tHrC8929OzFeXz15AClVClQlAvn LFruiFUHDBpGJ24/oPLRn5lHREBkAH0mh8KoCKfBgAb06dpPOXMoXGI2rWlk 5AyHGz8DUCPH4RxUalkpJPsVGKjWsFr0yelClDIydWLz5CWjLsSRgJ5fu5aO i2VoW0XcCVuFzluIPbTRU73ypzx5btDUAbPp2ujJ9KbzCoqpLILgj69TfMgT ig8OQ0CM9/eLtJLbRguYbmHU4rPc4/x/VKOf6GHf+bSt/1yqWXmf8NmYU57K lj0mDFIjCg8PdBlh7oUL6ZklXA0dmDWrMj1/HujwSP/+OzWbWvOogPmVhPGa DoXD4eN2bQCODWa7PQ0MtGU9UHaqeGwZLvklf37q3Zh5S6iX8ElBLfsweXLd F3HBKiJ83F2kIAM2RDFO8vJFkL//C+7Md7vDJVt8nN0yGMCXwU1Fm/Inn/wM 8nhmu4Y/iikOB4Rb9jg4OEDG6SgNUBfxWihe+2Wy76lltwDwlkfyjkTxtzbC HyiLE+K1XryGWjZgy+UpVISLu9icrCm1tDYhzFRGELFzpkxneDaW2nZk//z9 Xzl8V9Q869cf5HCUChTYTNWtPfRG7CdQnZy0fx2v9Ac+zOZdB+n8nZeWx3FV NhC/BVFY12497A3/og9/f/rmE13ohAF5ePA0RZarJCGKXI9hZxWML2hXRlcP /h8/i1NoogDOdKB8g27mzQULMuVS+5Yt2RzOWfQ1bd59iM78/TSHNNT/CHP4 eOUGeluvMchflUXECQej2r1JE707SO8pNIRbHkvmqQjEfN+GDTX+CCCpiLqN uJFgX/gNyhGbW9sB+CMfHfyI/ML8pH8ZaBYk+T/oPULlZl1tVvL6/evTJ9s+ oYDnAZ7CpthWdNRse3Napipt8wX38fKDcPHeGMHtTZcfRnDYilRXkMxL4DAS j4h+O36Bln/3Aw0ePoqR47CUJVeWpBxHc+CzckgLnvxDSmoU1ZZWvd2Jfkz1 sPkI232YOnXurHcKx85V6em5k4BzorYtAmsNTvrh1/009+067on01itLRoU2 F8IJILGPLj4Nqk+oziVeV6RLtzXGWowVcYe7ccPk/8KffCJ8VMY0SKFphaGA b5jxXEYqsqEInzGt2rZijgtpPIVplsZTderAmmCGAahGQVWE6cG9e7cQejyF yQ9RzkqZ8i4356o2YRg7ZBDteN2uk2fPfocmTBhL584VACmKy0iUYRzu1q35 QTWlNrB370ZqOIaD1n/duk/RyqvtH65T8ze9lTcUIcSxkR0JoZ4pxFLaggCH 4YPeoGbaA11mwmdAcP7arnt6SxfjrdiAH60W1MlaQxmtx6SKBmBnBKtR6dJL eBJ9o0Z90MNv9837M4lkgwb9qFat0dyAWLz4KqYSBxcNGhkxY8w+aALZ3wJh FUJ4hO9ofv68VneaUbkKbSpUiKuz8HDQuRsile5dMl865F2WJiYbR2WsE8C6 S9/Onr4BjFfBgj8inZBanbHidtSskoTuHbzREiVWopNbWzgR0VOw3wPabdXk jXwxfT4Sb0roUdrY/cd52n9KMcsGOAQcNg6sp2AQAEcKpnVefhiOv/OW5dY7 DyLo2Tfr6U3LdhSbJp0uKqAx8Uj27LSobFmee4gcSccWLdTedmnenIueY2rW pBkirgWx7IGcOemf1Kk5pAegxs846uAhAhAKehq01gxr244mTpvFvASouKCM AohJiFTTv9EFtX0/hQ4dQ++LlgCCSrqJdscUogNISrtWrdTeIjNwJX36JD1F zEcG0455emBVL1KmpEe7jrDT1vJDV8/AU2/gNrioKqJpI8b2kjk79xs3Fd5U mJp3bk4t27Sk/L/kJ/Ade2gfgih5fCpq+qEjLXz3A50LD7VzuS9j6OSNR+Jc OkTTvvyKEeQ9evVG9VNtLdoNEYsOGzmWK03IruC0QOgtbCnbTj8JDcbDRiyL lN+Gbb/RpJlzqP3w/1fYeYBXVS1vf5NGCgFCLyogKAgo0nvvvReVXhVBpAuK IjYsKCoWREEvYkUU67ULKioqIoKiIEjvEGpIQjLf+s1ea5998Pzv9/hEIDnn ZK+915p5Z+add4ZL80eaS423aqiFSt+XroSTUrZ+nJqdJo1Ot5JpZ++XD04Z AJsZnZH+cdsBHWxnNoy7tbdOnaFdjrFQJ5NikOgKo04or9/u2S01cmtHbpqN nneVoWYb8Mi73dpNLv/icuyo53iuBXIKKEi//PPLpdmCZuoJet3USysrfjtp qtpgPBKJjfZ3tNfa0rUGhlVcW1FRqiLYPJsbsADW2GVyI1d+dKW0eLAFH5kU Mrp8btC5+dhjTZVTvnNnho6Mi2inpFvWFxPXCxnEWEYnCt9/P5qpt0nr1s8Z fPWRibR/UXsM5qLPxcG1pKRs87MDxmb/aOK4pfLIIzea39NIdV9MZO1mcPHx fuN4J5tn8DUxXjH+wriBmFTbzZtLy6RJ3QNv9uqr16isRhiUaoj6hvmK89uR yaxlx8fH2ZxUuDxDcAR0GGfsMsCFTg7zPWuUU7SKu9rrIQO917RWgEEuVmy7 EtFIng4cONi21Sdp2wYjnUghc1f8YV/5vvFNV3CK8U1P36vKEzWqrpIbak+X B+p0lVer1pU1FSrLr6XLqPgtxiUvQD5+OehsfKLsKlhC1qfWkNdTusndibdJ XwMz6dYsoB2evoUlVwvnAylLd1dRvYK7TzY3Nhl3A34lQFOMTYaIixZi1jW1 4a0G4bGBjiroAq8pzuaXth+PFHNAQ/C2aecYOmyYglODW7xASsJgGJRxznTv I3kFkxX9bS1eXFaYOAAtMPKepWyZBFc50Rhg0CChBflU4uEIhS1d3SyGl0kf kKnfufoaWXzDEHnq3gfl5f+8Lu+YkJ/MF1pYWBaOdZJNmWIJ/iDx99s/sunz 72XrC6/KvhlzVL0/p+LlCSFbDPolRDeX4+4qHZrvmmgmx2yYMGN3nB/deG5O FC1Bp/pep/Sa106vhR/vXRyqVzJwp8AFa5dTfHhq/6Mp6eo3rtYya9+RfZUA UyDXTQJJ0W737tnXyZIz7ykLDpD4+frftZKG+BdZy9L2UjC5iIGt+pii/h7G BNj0YLpCWcwsGVL4SM+89pqMWzJJ2r/YUWp9UFsqraskpc3xK7KnSBA6J4Wy kklnk6TE0VJy1aFrpNOh3nLL8Ttl8am3mbSVELK8mFL2z5hxNwU3cvQYeXnV R+obwzRgtlA4AuV79519VsvdAbjPTZTmD6riazC3YtD1g6ThUw2l0IFC4p8M tSNAVPKWtZfVVmtLDrKUPby8hYJ+vSX15NJvL1V/Ep8dn+Lg7IUCumbIRuV/ KC8136wJB8Aa1f5D+wejTv2PIz+IMtXq1dXk999LKOzMy/Nc2SdSso1TK0jG AD4JrcfQ95gmlRpCrfwMpSBjKUsEd2SQ4uMjR1IDRh+iMhfzhm+6qYfs3Vso GrWixtPETy3SnvxP0aKes45h1Mq+hxtFuzDWkdeCDeNtqjLX/O2/BrRVsQ3j 4MoGDRarxFRFeyeQ9qFMw4ic4sW3WnkpG7L7kJTomLRfUvwpKZa0V8oU3CHl EnfIJXF/S0nvgKR5Z9TCJQewM091EIGwXbpMcXeEqbr16z+HNwpYfHimaGIw cHOSFDFw8zOvtfL/Dy9aGg6oOT60oNFvErFvkdHb/J39C0cd+/bOZ98qRzje lYnN+w+8slrLxNxMwOKTDRtS7g9uCpbjgZYt5SNjGf4yP8e4BGG1jyXxUnin MyZKOJFRTI4a15BZrrycLX8Jg+YkLyVV8WKytVH8KspJeLCJ3bq5m0Klj4rU yaSkwEYdNT7x4SjSb5JmlI8a6Lr30+9k24lcbckOgRpShVU+qULfkhfLRnE+ oIX0Gd1HbRSY0stzKLGgJOYn6kfSZoSzgPd4r0GGJgQObgqah3Pvf1AhHoQB bJExGIVCkB+SAOS2X/dnynd79sja3Ttkzf6/Zc3RHbL+xCEGIqW4XIN5KUnh 5Ss/lLE3jXf3A61VSjrInaeGPNrFfODps+6Qr/ftZKrmxeCuwi8VaWMKxqn2 N2f96levBhlHWp7M/Si1pZSWO0zY65bYZ2wfabqgqVT+rLJk7MhwYDolZsUj xTpB5KQmT+6qw8eg15GbYxIWagUl7YmmUsxULFiwjzzSTGsQbooNshMgPF7p LAWfAyc4bCleNWuICaVeiFBdgFJ5BexgquSojAy0YOqfSE2xr42hcIS8c+al i7zxUtDLUpkG4sXevcdVswvk4FJBphINYx+AhdITYX6JILDP12wfuVP0uRi/ Y8CXW2Pz5o/YtGr04NTKlT9TcSkHbBAv7O69LVkAmwZNkNiJCgsIMQAsQQot OSrURCBqyvTbVASKgqLZj45Vt9Ps1qPzHpa8+ASN22gWHN2nj1sjJHxisZdq 19ZqDmEiKA9zWsLepnybISUEx9Te16oVSqlO3hgw9HiTJnKwUKEoTXP7AIIE KgWkDw2mHR5QchOVonuq/w0KQV48/bEUyisctadL/l4Sbpv154lKtqW62X9I f8UbkbOcJIXyC8uErDt0lBFHh+Y8E84FKzVBL228kDYIer/ZtEN9vgkK7WyD JB93HTyn5QNs7ew77wamuJUSxT/8+DOaTguyAKFat6t/oyMI1DSHOggI4MDO O/s02kABRiiYnSzt7vQLAU5RHmJI9VXVcfJefBiM7S2sIKDf8H5uReawS4fZ HeQaE2tc8v0lUvSfohpmmUPuxS5WFrVVU2DAjBkdZYn5wA8/vNIcuwpKw0fo EiVljizyL8wywXkDE0jF795dWGegIIzO+5i1c4eJ/5h0UCa4SYO0s2/btuKB yA0yWvfd1/oiANDz3wAAIkldv8nwoyuvREDXc2c6DADwS881aKBbj5KX2Z3x dq+Rjkb7oID6/X+kTZt5Xh27bMINBowo7eKKj/RQ0+9HejsjY4cJgfbr3DFS +KT0yVOR5nKDTxCeYfYWiaIOHWap9LJbNsaCKMtgjUBXgZPfrt3ci7w8SaV9 8onX1pyIODkE5SPi5Q3wlf+s/ABpI8+d9LCXhwow/9FFmgvGX/x5JNs1De3c lSkn7FQjnPsd7doFK2dixuwOHdTl/td44m/MUd9gghLofxA9UCqm5wZmPTfX kUAg7MAHIw0O0/W5evVkpgmGAA1u5bhyBJb3FC4c9ADvNGZkNhKiF6V8jprP 2/vxt/LniWxpndM17MJo+qv6XlUq9PZ7yVGunKwt+QhWTnYloJ4lamMvOlyu 0eHWqTODlZPQmT77Do06VhgP/vYn32r7C73e3/y2U33xLzuPaWaOBLlyLbYd lHWMOFm/RSunL77+rpYNJk2dobwwt3KcNmluqhaxFAvI2kR0PxM0qfTt3t1S Lfeai5335T9UxiEHZmDg9QPl6tevDpkBv1kJQZguU7rY5cWrmAHZ8FrLa7nj XvaXsva4N3VxjInQGCpijnVwJIH4sAKGDh0Q2KgVK2rF9rTPR4juzLzJi/Tm UaEneTynXTs2kDuFeFYk7gsYSFyy5B8qBjvMXXLf0XoCzckKTgou1K+uDw4F +6ukk/eBnDWfda5RM7rwo3wirEycnfl7Qujmg4FJuYKcYGUGx8M4wuOTb9OF wIGa2rVrcEmsAMq9WUGwheFFkVg1ni64JGwSzTW4q6WnP2SgedRTLPNLGYrb kf0bquTw9K40NhPGSrOHmlH9cfsXz3Xnucc1o/z+mp+IhoNLo+bMCA6W4uTV 2KvQrvxd5b/uDYMOHjjzfFQMin9pb/l7bmM1ebyJHyWLF7l0c2mXrrtUu8ka xkzKNbK/C8fBcCX0p8wOctb755/Lkf2Ksu833hijLIF9r+fJeXN036peXeur sew7vPL7DcrAbPGsgulFiZr5gi4c7+VobxSDy30QXUQlOhmJRiSFnW/T5h5p 1myBTpwDibVqdR+y00rD69p1spYs2I0k/ZvaFVK3oCBO6qlAgVxXzmG0Yk87 tyNsygsZU07bkpryJSvCphwgQYbdWJOYphwhvdvmzDWbdbRaowDbJfqNBg8+ oWEguSMT6AaLxNxC54VrgYllyAVSp08YCPZw8+baWHCnOY0zTeQ02byG2gGa 9vA03CL5N5xL2t9MQBdWbmBuxrjevYOMATqJR9LTZd/7X6nVbpvTPWy7Es8k Sc03aiIkEdNqk5jocHsH6Wl2A5yr4K2JFPpUtYZdT4+Z2el2kYW1BDlqzFhl t02bOVsPM03Z0Mfuvv9h/feM2XcqoIOESBbfWPpmbn2jx6phxkSYW+7ODXcf hZmRo0YHNnnabbPl+z17pWZunX/Z5PXRNrnjzI5+Pv+iowMnw0RQwcWDy3qP 6615G9be2iCfZo8106PX4uEW0vre1nosO83opBn4ngYJ9RvZr/T/lQ5HbYog i96kGeY9o0b19WpZi0S6BSQF4lq37jIVVk6NkZ8G0Zn3ByKovsRWDFO/1Df1 OH2ac83ucIprHFAMIFrg4IicAnHBqeQtvobyIU0kY++L2h2E7h4C3/XrL5Er r/xIT61BVoVtUMRkubS0gzpLCo4/vcn16z+vsn6dO0/XoRVutegscwpJnaDL HBeXHejKM5/KdSg5e12jxlvSxvtUe340rNp5LMqF0Fm7/K0P2BjOhRDKM8oM 347+JLm/4Fiat+xf9bFcKFxEUdNk40LcKjFVKAyjhkJiFfGWzKSkwjZ9BaKl qse3OWJorD9Xv75mW6Z16aJBkVslkSpqCosaN9bTnxsXF2i+A+w43eFVontw ulN3Wq81iErLS4/axyQGq3xaJaZXgqVPEnfg4IFaRiuQV8CdT17WLqeHbM48 o3mRG8dPCFYLqpp95zxZ+OxSFfokAN2891Rhm5ciF7L+r/3y6fe/afWM+es4 rDnz7tc2xKHDhkdWa4Kq8RNu0cAKsig33AmyA+amzpgV7eg++FJ5ApHxFsbR 5UQCKTejiuIgIhOR1gVbA/utlDJI3VJIDbW+p7XUWVZHKn9aWWVwEk4nFLbZ JDJMHPoym8ooWYMMK7oOHOquk7tqjrVwzJPrpkFQwfrHhGaUlOBmvvhiHZ0q BY9pxIh+5fUt6QhByvjxPXVSDQOOFyxoroMmmBCBjDpvI+YiTkMHNzvbSaj7 wgz8nA5Hd59i0gJIsDakvBSviYBtxYoFvPaw/4XDR8PaRLMLzd89RyM6ZAB1 a+9zDY6aNn2ssH2E+F3iHOYRgvaQv/b7epO17MPIUo4rAm916y7TJEmXLtOI x9zqBwwYrCcbt410Y/PmC8xvWKjT4eDS1q79ko6coUKFgYnooMdrVwAJVvTS ndsCAqQZ3/yO193XJH76xagw62CWsq/Xbd7lOU7S3yHfTI8znWf0IP68/ZAX jI37fY9k1W2gapTzW7RwNwCfPK9NGz3Vf5oTesHcrUssrqH6TVaFViq04ZYa AzHfnHoGPQ7r39/dALquyGcTpWEUFhhXvrBpUzUCRFfAU7IlqKojz4VRcPqY RG6LKLAPGhTcgOnWb+9f/bkmTjvm9In224naMJi+39mKglF+u9i2YlqLgAOd fCw5SEVceqGSfHhqk3KGZs2ZF9yAIUN0wBuWkxwpZfJLLOYBrfI9ki5wWun0 Y8oBZCxjZd0NGDJ0qKo6Tbvtdq283zN/gUqhEO1iG8jbYGpoSye9s+1YrmUx RQddEOXvfegx6+n8oOv7PfvcXIiwKai4oRKGL3Dw9RfX9/lCIQefdiBNhVv8 i/RXS2a15QMtpdp71bTcTRbqEmtcafkuvq24Zqeueucqqb+kvqrN4egNMIhd 8063ypWYCobK/PJLWfnii8tltbHIeGqKJ5gMpMtnzeoo06Z1RtgpgfyruXqm KtxjTBjm4vnn62vxmbr4l19W0vkjDKUEAKBDUM4aBET+kYsbPbpvAAreMEAu Jij4jwEFBQwoKFFCll97LayhMCj4oGpV7TIBL+R50VB9vjdDxRurV38LMxGU wjAZnHNqJYmJp6uJTww3f1VHzjHnR+RFr712uZqAFi0ekrZt5+q0qs6dpyFF mACMNzeAb1HMAReQnIGURWGnUqWvpHz5n5ToTXKH3qFyoZATfGAAv+ckBatW fU86eB/qRIas2vUYxnIRXvBZcn85DTkfL9CsAGJFk//vE3kRvHA0R45PvV2d P+aWMVLuBgw25x2FE8rHZxMSnGYkyReU+PD7JLVh09OISaWZnnEgBtVoA8t9 1o15D7NayMmShH3BWJfXr7lGnwk4A0ELtBHAHubX8Pj96DYhQbt6zHMLVv/Z 5ZfL6e59FEe8cvpLSc8rElUPhs9C5qXAhQJB6dLAB9KPBiYrDA73CSbmJ8mc cwuVcrjwmaXpduEAK842PUN/HMqqZsk0WAnUCT4w8e9r732q9/TJJS/J/McW GXPwoNx2x1xNcd8yeZr5vcZ2mPfAkgdSMKkK0szi/7yug+tg03+49mfNvyCq YiIxs3Df8lO9IRdEhcfte5jiD51ZFgUpEnOTpI2d/eQgBcpwJFnD9oG0VUNb 23TPtv/w/tJkYROlmRt7UtXZV2QRjHkgDgKZGEwmNVbVkDov1XG5m3Z3Oe6h Fx9I4PLImodk4LAMEyb0CC7/VmNaDh5M/T88fZzm9o3bCDx9uDpy0OwL9hT8 rSOpqVGAfrNXXcp7ezT12afP2KCwhG/lYBq/a2ufpbWgWbr0ZpVErFfvBQ27 mQdnAgHLDBym6B3aM1qiPXuOV81XmIPMNmne/GGFBldd9a6yClFvJBVboECe 11JcC0au+fyPpVevmzynmd2p03QplHRA/uu1j1U0JZ3KzjD4NOLnQ84CrgHx JfPMft19Igrpwz3OKVZCg+SRffsGy8dxK603MdFWOUv7ZGPzOqA4c5Lw3sxF mmHJe5hHktXG4WtTBd+jT4OfU5zi9cRUAAR0aMi0HUvRqrdZvn9ks+Pj5X24 mn36BMvnvScKF1bduBjl0cRziVL/ufp485henlpfZwNDwc5Jp5O8MPSnwX7j iUx578v1itfd8qFuYOioVPpJz9KKBrCNxFLg/HkPPKKpjYBgZ848OJ/GN0gV aCcStvNZM2bP0dAeph1yqzRYUO7auOu4cmKahWoz7rGhoIeBGDFylHPzt991 j3y3f69c9W/W22UbKyKIEBxj2GvkLKiTRBVQ11ZQlptbKbUVKqLxWfG2XbiM r4pw2OcP4/4bLG6gxdR2c9tFmHIm/oe3gRmgstrz5p6aCyDeb39ne2n6WFPt 9aCfBZtabHsxOOB8drGYZRsttg7UsWIUTZFmY/o8OgKZmQW9hqFGL1y+sQfB 1BrmxbmxdlEu/cVISpdMkPE7sczDp1WqaLy/2uy7iGtP0KZ6xpLAJTOBgLtj rVvfp67b8+UWlBVB8YSwnxNuTr6jUAEAmHLcsuWDOsQIb4+hSUo6aRbkDnyO Kvb36DEh2PEYEdx6b2+lXy01aNy46bCXJup81IBMs0PDieH/vPm+4tRXDIiM GmlqNhMCbMiCG+TtwCDHFY+7qXTpKKY/5WaOIZrOo4xZcAsiBuBI49RRVGCy LJ7XfCxPSI8wdGtKoDf16hUs6AYDBIgNTg4connll09/jucNO14aFQHrJhZ1 jheCbI2VNdjXyroMO17a5Z86s1I27TkpM++4yy2IA8hBwxZGCPl5Sm1d9vpq 9aTDho+ILMggGjA6h/mZZa9oIM/B5OA3DOU4wfyjRo8NAPfgwUOUFz337CKq nc6hJuUYhzov2qF2ndRVuzHDDhVJ2g6zOkS9DnjR5IkmnJSgFAyVAUIpxVLi d7rr3aVzAikTUy8CnnCHOGXwXAvFPGIF7dMwcFhb4Rebc80IDkZAHj2aWitE DeXbuN9gpM/dbbRQGivRDfJbauz61xUrxnS/1NnYSOjoHkpLi3K/6716UtQ7 pg2SVBrdcySTTWXTkY4c9YjhY9RVeva8qZLLbfQZq4E50fGVV34oZcpsghhf y54vRH6gVOJQ3ZiWFi0ekGJxe+U7r4Gf1H7+lbBDpS35kUWLEaiM6VA37Dii iSEC541BwcZ3qKSQmS7D9AiGqKeGThrYNdJt5Q8XpJdmiXGm43r3dguCD3u3 y7IZXwvl3NzDWvZ8wVyg3wcX6Ra00HzymZKlVAtx64nz0ibc0G3x21MNpezG shEXGUqQFdpfSCnOHW7roFoVYRfZMqeT/HEiS4X8brjhhmBBnDSGQvy47YDl BCQo9xxMCsvRuEC3IKQlZhvXBUh5ZfXH8tn6LbBBa9nbjSbSMy++iqOzC0rQ T/jy6HapcOGKf1GANvzb04HYvbzojDWBKSzD4HwNHqjdPilHUqwYh68zT5d7 o0WN4Hq7C+45vqcmsEmXAWBL/lGS+5IU81Slu+ToiH7KE3j22YYamG7aVAZO YdWAHpCmU7VGjuwXnKqhQ/spvzuqQxlH9pTvuBjxS7nDgNZYBwuxE6okK0zY dSHUvoDjGuMt1gxWmzaBbWzffk4woNIRlmnmQ1mP5rjqdiH+0PM7dZoyTAAg r/moqvYt6en7DPpdqsc1KTiDI5VgMN17UImJZ9t0lJ27M8MOCxowlvnXXSdi nSmoIyRcUW7cHszkSpCdxvie7jtIwaeJCd1a7mnTRqk6/oL9g0F9n8h9bO/e wVpGm9szt107PWLk9VFMOJOYWNW+hdI/PdicVLcWGMRkoI/MnqfDqvAyxttE +aofy0njJxoDJ2MdJ7YMuAhdq4t91pIz7+pIp4m3TnVrIfKjTmY9tZ6J737f rdMzqeK4tVDwmTXnbnnsmReUp0fi2Pgp1++sGr0mkLzhhsHBMUInY92W3TIk awKdJ4Gbyi4obe7+d9yHHQi7KXLCCAaEX0eRB3Bo74a+DojN0epn9ra7WopD xJa0IsNeLPFnCQQK/nV8itvX32RAJYJ15HW+++4yHdRoQN1llolL1oihmowX vu66QW7mF2rhOTkFQn4p2e8TreYXYBkTSxwT0l917gcuO0Ip1AnBO/kh6PeL V0uKeUeUPDNgwGC3dgZF2N754ATR70rWhsRsHWc/TDDI9+hUuOSS791UsstC LokYr337O+wI1iTNHdXwNqpaLvRS5s5dVGelLvjae5/GdEl0ZpNIHD12rPyw dV+0S/pknVxITdPOKAj+bjUQAmjACp8h1ItJs/CKOjZlQoKcCXE4nfXly6sP rxByRsSDs4LxvEkqE3iWxNK2g/JL5nGV5L8oK9vskWZ0XcZ0Riha0GvTfUJ3 7QANO6MmuW1VrpYUK9R6t5RxN453Teue65Xg9qBaZY6MV9cuBQo+RoiWNZIw kNwqhNwQnwuZJdl+LjyLl0+CVYsGSROtmn5bOZRUTZLaJlqJ0oYyRrzmmzXd Ce8+sbuU2VDGfUDgolCXaj+nfUB0wZV5np4Nc0aqv13dnpEy9jjDcSFFiha1 cS1l7NlgossGE6tBWhg6dIC7eI7KsWMFQ2fD6l/c4XsXoMcdxjbuKVIkVn2E KQw0bz/RuLF2WbizgX2f5j2kRY/Wree5NTZuvMh865Q4/if/Z4wFXodXNLZr gItA4qRSpS85CGWsOyJ/ysTsZs0e5cS5vdSy5QOSnHBMXvP668WdHHkTqbuw Y2FoMYmzH/86EKhPhKoc+B22ByE76fQgIjqSIyeHj1U22O3t24dxGjXLs/Hx waFAaOw2S/Ryy8DvUrr42k9tlrE3ByxMGwoBkjlrbhkLzCtPpZpT/dr7eiRn nJvPPKuwTyGzSL0t9UhqrCwGpG5MKh1okZjeT0A+duZlVdKeNGVaGJ3BDaXH JHwg4CCQXWxilwGRngFafP+Pg1ll7M0hnbnqk681XDIflWxfrXjv4EFpmNMq rPVQ6HS6dJrWKcpN0DlHNBJVZjiUpt10vCIlhMro/Y7Ljos6GpXWVKKc4NWP WUsoby+IjAF1RPozjIcoZg8EQ7RgWVNSHDeul/tdzNGiTPAvTcFvPR0zqMGx MX7kluEGu/w/rRooJZDORt877Cl2GvtxmbdT9+6AAUODoK/rZC32h09D4cJ7 la3DK1oEJYLB6ikYZ5qQkFXMngY6LDggHKo+fcak2G1El1tGxnbNSmSZf5+v Wp05Va5wh6wSAGGpCVZD1X7GMpB4GjJkiGKGcF5gz/o/JKdEKfUDJrh3l0/K Dk65v//9/+MjncCnu3waU+DlENtnx8cXszflYFqafG68DQGPca/u8sm/Atpg qHH83jn1o5TNu9Rxm1OOpWgUAoEscAjOb6Rp43uD5xpI3xF9HcvGvUSHAP9y 4rjWzsJ+gbTnt5t3RfmFr37+MxDcDNYxdKi6V3zCX0dyitm7AyrjI+k+HTZ8 RIp99a3TZmrlH2JPSAIPiQJmqtDIn2aD9GaPNnPVtuBi0V7mNe4iSaupWGnI OyCR0sXO/m0Q8whc5qqSgwfIffe1krffrs5cIjlzJtF20idqP/+ffxbXRNrz z9eTqVO7BhH24MH95euvK6iKUjApHJWNbr5sCHodU8wD+6t48VjegY4/mFk4 EAOog/NAfvoJb4Iqhpgg3q0RwTuaIKmau/Ng9rvUqfOSlsza2tWYI6SkGFLk xYtv02KW31OQqA2cZM/IlhHsd+t2a3Cf+/b1h5g38dbq5CI6AQ4uez1KDBOv QOWEXuNvN/8TqyQOWdb4f6Ve/XEoK+IszGuO3XGvDoO5t3Vrtyoy3e/arKE7 JrRD4kCog7lVkV2k6QckSpncfIzn9J4wOkQl8GmAoxO7dw9WNco4GRDZmVbt ZKcJGjZnnpVWOV2iggpgR/W3qisJK31veizfgZAlpVlQF3bWvdXsXeOJHtRy 0fRZd7hVEYaR/CYMc4eGNBvBBa8IVmVeR5Hr5VUf6o0z/sP2MyZqpQtiGj97 aOHTOiQ3LfA5N+rPnjm9il6IMK4qs7OsssyCRgGzuckeh/ktVJc6Te8U5UX6 jOmjymiR5vh4STFOgGCFVzSKeYQq289gih55Z6J3GCmwUSgzk4eGqTLWXJHr Jr/uuoGaHMvNLeAFc6wpJz/ugyrOBXaOetR5gyEujtv5k+woVAiActiXoJVa z1svxYr9RRDungelo7Q0FaXwwspeOIjevcd5XewyKDsxqYvYHYQFraRp08ek Vav7pVOnmSo2W9glDwfcoJFMOW+X/ODV8yeYjJmAhEsQO/jKjDuVsGALwp7z KZwluj/In0JWCvsUcH/2ldVVaGu4k/6Ol3lt26qcjQQrtgr2VarI6L59g2Vw qMCdMMAeNb4FfQgEHQhL8Eu81i1jiHktrut8hctlt699qzrOjOMLxw2cABiI BlIregoyzLkF1GSTe0XXPnywyuRdIl+d/FvbcQOJ7nilbfy6W8Xng/4Yuupe evM9zSy7ZQwdNlyZnUBT/Acoiz9hkGBizOnxHLNk2PDhGr58lLnJZbyCbZx8 PkVa3etHZM4uQFihCSbsVdAbg8gZjtPRhgkDMJZLQh0+V5OYR6KxfffKlTX+ PYsCqPSF05tKkKeMtWKrby1RImbel1ZHiLuMdDsY5H39ju73vK4S52VL7dov urPeqNHTOscqvM1pTGESI68YbhdPE0q1au9JEe+wvO310D2UVb+x7PrtH88h od/3n9U4j9rb15t2xDL10Gtg19404ZaIfhP722yhgy+8qsMjn23QwF0djKYL ttnL7V7OOgzk8NXdYIUMsoqXlP2rPlHP8Z/Tn0qJvDKe4xdBTW95f0s12UX2 FIllsunz7nRbJy1cmoA4iqIw8PxoxXT3PPSYuzpKF05q3m1Ker/gIUauLlFr lKr0cXyn1M1pGrXR0CGCHTnw+oG2OpikOdRwbA4Ga/lAy6jU66oaUciFcREu Z9Q05h5rEMQoA5WdY/aZ56YqBZPaavsoBObIYHPISXFmW7Xdi7YZwgD09C7h CRWIZEGZxXGdt0J1c7t3nxikgc32gTYTRuZYUvqmeIXfk5Bs/n2DFvrTvOOy whukwCan4uU6XnpHhMXOXafYRtENca9IiBmdoIGSjUmA4RWV3zxwTs529BUF b+zVy10lhTYQdBiAUwvAbYSvEmNJEe58kaKyf8Xbut0+PrVZrrwQap3160jA TnPw9c/IyKBE3XbV3q+m9SR9mHkRG5iaX0hZMuylEaNGu6sDLkNtCW83FkuV jPSj224ghLc//UbWHdsnTXPaR203Je1uuUQ1ZF1ptZcJ0OgBDNssqKrQXMPu XmmvP5WPtm1miTQTkfJvHnPf1bPvJlFPCTknp4DnhuLKHrOZOvnuGdYztSrg 7c6MjJjNG6jswmeA80CiJD/ixWGUkDu0AyciucPRwVhPZ96gZ7kOefdE+/QZ JZdd9o2kepnysnedziS+ULyEP0PBySb7zhnCMgm/mbffBcnDPor0qPQHrAWI iMOHj9AMcbAnIX+YrUxicHW1agHiovjk5m/GhSDtg7Zn3V2m2avyA0OiCheR A/95Szfetyf3SIOcluGN58jIfUb10exGoYOumSja3pnvq8Rt77G9keSIsncN clvIluPnZPFLrwVXedPNwWRMtwHRF7l97j2hq0yUceMnaJn2++MHpHlOx9Bk zHjJOFCMLjN9pbN3jZ5spHQvd1lsqjrL6rhfS/IifU90cwSlXNd/1CLmvnPZ vTlz2mljaWRQbbLIEbOfbvD31BHrL4kWiBSCXu9oewd1huwTvUNZAcL0I6+7 vTlKV2jT5u4g99h9ks0/R/YdDd4gQl4x1D7QVq3u0ebvCt5O+cDr5O+7ohmq Rx0IgiUF+k0zZs3R441dC2kehk0evdwaIxhHzAzhwMMey5UTN09R0vCsDh3c hdIhAGQI7zzaMwlCwxdKag324PnKV8o+suRMpcw8IC1zOkfUtRIDcZfOMzor QaXimopeeHKyHfMjDZ9uqIoubscxGe2+s4u1R/KWyUGRhkwCndThHYekGOA4 cnWJKqzwPSIuJzdKXT/xHey4tJOFpPW81qEdF68WGZ5NeEtRXuk2sVtUPo3D gZZi+HWUXXrd6OvdtIy59WrZkIskwZtv1pQTJ1Q2NGr3jfO31enEJNXpNG/Q lE5Qc4w2fOhCkvckT0qDbcjwHfRKSQ3vN63RG2/q7hwiJEWK7InagGxI2HG8 YrA17f36DdEZFySRO3sfGDvqj81jGtT+Nz9UMXTX58iTuOfBBXqxAOuNu1wV Prr9jDFfiMCRDmW0V7BTE2TX5t1y/rKKSh4dMmCAg9YUDNl1LlbjT3YbRcUh 9kpHGLRB0eNMQoKc7tFXdv3kz9r60kQLzOxk9IJre8Q8gPWASvCoGAUaq4eM 3Cjlsv6D+2vyJyTHXvFCFfnuxD5lcN5www3uSuGcwR/bYUXIXTMugcUQa89G jBqlJ5Ty0SNnX3LjrtyGTD2dpkJuvDjdfiyivSqNEYotIIjhVwObMqm76tOF NyODfDhPvKJVzM3oRtbgf6ny7TWePi/PbkY7pJcZc339u06uhXIuzxgbgLxj kt1qwEIohjQAZBYsGI4sVhifSTGhXr0l7oxBp7rkkvVRkI/MKp/sn1r/RAIB u3adaqUclypMvPTSdZrIZToDWVlq6ljY+HgTHdGaVVgZXEjo4M0pitBRT13d 76jfKmXL/mwHNrym8XiXLpPJczWy5xuHT1MJZyLNO6VscuZYcqFZtevrXKfQ EF7kRiF+cfGENygzxpLL4O9wjLU33BjrLRHNbvbqkUef1WLFE40bO0bv9QZz brLyhvkRG2xHVEbdKRrBsNf0eNA/TCaDsgcddWR4adbAvJ/zByfHqa5bYf2F kHUR2jgdGsNAGZ45BY4QDmkbGwTVzJxNd6coWMK/5y25BncceWChqksqvj69 Rqr7tEh39EgUQezg4gm1im8rHjl6oaAGmlnVD6pqxwOsD79KLW569pis6VoP mXvfQwGv3YB9WGL2Pjt/QKgffafS9fbDEKXI/+RzL2kCklCfRDxiX+Az8m+c UH7Ln4dxlGi2pWuHGTOUt4TGI9C0QyMt1ozH+/SyFXL3/Q9pZRO6dyN78mmp hmkKV+mHEwdl0PmxUjA/xU2hScssJM0ebhY6+X40h3JhONkGc8gR2tzp55TT 8hqO+vCyFy+dEhDfb/5Qc7n2P9cqHYJkHogez0y+HyvC76ADzU9NxuXQCOjG GfBzN84AVjpaKUor/6SKXPvytX6heGJ3zXxUiGl1rrLPbKJ5Fa1ljI3Ld2Ms UyX/gk1qXG3doNm15O5YDMwAegxyI6I7sRq4eanljjpDhEBHB++/eqZ79Bjv 7jBdHvbN1hWmqK2iCYz0Bw1gKAIgIQhTxwnx+H1mBfW1GCAqSVBQaeUgfujZ 80bvGvuMqDyRIUeqO87LlZu9J2WLV80OHS6gc0Z2bfpHM+NOPwd3anvtlWWC y9juYo3YDd28NAr7JejEEhpQOc3mqLpF0y8mUZmTFOVecMABHHR+0AGC/diR kaFGgcav8vaWY9SpwFGo3WN1BtExZ1aL+TVu3fRwU7OAUX4hLl5VQnb9vE2N 3fbMPJl9boGUyisXikH9ihOQn8VAaqboGDjeaP9cdFdRNSIcEgbRhfxzRl4J ef/URrUI5ri7ddvJtyHEmKJpcQaa0OtFax4BM9aANKvT6SkfMubMjyP1vm7L Lq1NkXLltI8cNfoa66+nzpyl5Klfzdu3nDgnU87dK+V9Nx/4eaxd0X1FOcnB VFroFYCOsA8HeDgf7pynEm/9/+zrUhSgNl/QXBo+21AL0qSNOJWcUOgbpFjL hywtNDuscZF/iujrSDO0mN+CqLBMzENrfi/N3mPG+CpZbvrv2LG95Lnn6snP P5elzpXsZLUy/fw7M7TZLXgfB2VxajQrnHQoIfoM59l0PDEX7ciHnH6+T0/9 yoR0Bb1zigQQUHBVABJD7iD7w6Xp08zXAwo6cBCA8w9fLj19jzm0u82/95mD 6fTzkSjN5X1eYXvAIzql+xQ20CdOedhgBFutKKQDOUAnzIFC0TnZXN9E73H5 yaut3Wh8VLaJjTRwO5gVH4rM/LZBzTeoVBS9RwYXxITO9Hxpht/4Okt0DeOH A2+8b05lnKysUcPtqK8jQzR01ovHyAQAPCPQzYHnYKPORZsW6a495gtR0X3G jh6xujznDDLI9WzTZ8FAX5Rz/6M5928ZWzLf4BGDwIP7QaoGi40EOHYF9hTz wPd8s1H5eyzmw5O/qhRPQn6iU8VjX8JvazlfQydNf0GjNl4nMABhSg97GD1m CAvk380+DycpumYPkG3HcznV7n7gop0ByND/Fw4ONbrZuHSogJjUH7bu0z4d eH/8+2edknRSm0DMkygSIrb4MqG7VVuejCMFBXpXKtv4ePyESaqaRLs6iOKX zBMyJeseqXyhWmR+LerTcUoq6XZLt6BN/GIaE/WC+s/VdwuCButMQUboNnJr CBnUUR9OUxqhubXmNpLKSZS0/WkqVU/JIi4rDhl7r4h9f1jcE30vUnjEyJQo MmLahjgbvNLxYYyANn1CosW5L15cXyt2Q4cOKGnXhHjE1KmdtcX0xx/LqUxX Tk5ciuN/5NihEp0j9TnYn3OCiT8JSl63ZFMRO+3NWQl6S2b53CAdq3UxD3eE 94Ly/Tp0uN1N2oNv64yHX9surjKctJcxZI3sH8xBaniouBAoM02jca3npE+5 RXJ72kxZHj9Avi7QWP7yqmjD+ilzEEh453rxflOqwVBU2ukeAYwc9YrJXq+c vv4Hr76873WRxd4Ymek9IL29t+QK70+V+fQFipP1euhTjSCND6RBg2e0FW3A gCH+zS2qkRWJJJaEvaJeQzjE8lp6X8py73q9PBdJ5xYvoUOud5ntviMy4o0O jS9/2ipTps/y3IwvskaWFetwdhD+QyAHVHPTLdklkl2CMNyzn3avT+vUyd10 EIMzTn4NsriiimN2SDpSq3B8HjGoBD1Oilb0DK5o3FjW9eorf868U3Y9v0J2 f/yt7NqwTf7ZdkgnxTLubYfx2ok6rjJdeS002+zcexqBQ22m3/3jVtn32fdy 4LX35MiCp+XELdPlTOcekl3xcpURLWgdE/0Ap0Ioh0Y5/BiR1uABA9xNRzrj tg4ddGoA7ABsaq7V1T7buoMcWPq67DT2Y4eNBknLMnm7WF7JSHjkp19JzdJD cp2dQNR4UWNOcODowwiI/8r+UlaZBLy+yn+rXMRuTpOlZz6Un03EYaIRd+MJ UpwV9NkBxakka+Dz5c9bZaXBLpgrYA11UdIas++8RxYsXyJ3//CEjNkzRTqe 7C21zjfQxnzQFiN7Ib6hAxUHjSEO8o25+zAaSOAl5RfU2kXRvOJSJq+8jve8 NrehtM3urrdi1rlHlIm95uQO29/nD0VFHA2+NFiLdiH68mkPMs6ypMWZpJJo 38f00qa/wTxkN0+VGXPts3tK4byiIYXmeEk9maa2FeVSd1+gLDBkL4y/MJz0 HvAKZ3RVAdIaXV8RuYgaXAwqkVTFryrqcDfwVOdpnaXH+B7ai48vo9mP0jc4 DwNt85z59If7H5fvG3lAmwNnV719lTR+vLF0vbWrhlUpMa1wqu3mp1cXmhFz xpGr3769mPz6a2lZt+5S+eSTyioGQof/KgP53nyzJnpsNczNpkEC0h6tR7yF qZwIMDP7wxj2NFcOZPzP154/frdAJC9EF/foPn3cJDGoAnBoIiFG9CBgkpZw a0hajvflPpzax0YTOFGtKV9+PYbNn4JVUiVRAXl+4jLPB1rJR7UnyVf5eE+b 8BHjgZWHIeRQDBx4nbRqca8MLvugPJs41Fx7Y+UjGVdgAxpfUD7H/OoT5kn+ 7VWSb7wm8oo3SJP3A7zXpKr3h20sTBcn0QyoJBosVGi/ZulLl/5VW4iJ9ACn JE5p9K9Z801zB2rUWGmwBt+vUGGtAkWiyUKFDlrgmS1OgN78LvUBKEkf8kpQ RAjqp9WvlsNPviC7/tiLKXGdCTDNX377I+U6uPtP2cXmQyJYMjRjmDQs/evc ITgRBvVENSF/+p3WoWByQFDPsMjuNmOHac4ELIIEUasD21Ogg3GI/juNHaiS GHsdZyMiID9Jq3WDh8vOJ5bInk/WIaKPabbBVYpvG42p/uef47L7l+06Bf3Q cy/L8Zl3aUo3u2Jlm2xMDxShwbC0oXA524zLgD9NCpxyP/UaXAwA9c2aNT0F xuYZvH/llepa6K8muIUZiYknC+acIpN9j0+7XYsZsLxCw1HfPrVeemUPluJ5 pcJ5WwBTtdVazg2eQcsHW/o6HYE9+XeC2eZ6peOMjoC1cKmkcW4bDR9fsQxK 9wzQYoYFj8QA6BPgSk5p7ca/VTaSCBbZSHinY8bd6J4BIr1zH3pYZvx0n/Q6 cb1ck1PfLKKkWuzyIeODPlqRvAypcKGK1MttbhY7RCZnzZOnz7wla0/utD2c l1oB6lz99ewm8PJXG/7S4h55cfphSHdxOS+88pZq0mGhIfqTcuM1MMEZJksU tHnfKeVQuIwpM6AnZt2p5Uuux8t305njJTE7Ua1s10ld7eCngn6hMCfE66SI vtrndbpbxwRoRgsQLZNjxAKnHE5R2ZnLvrlMyUhE0O3uage1O84CVmR/UVGD 0AMtND5bA3ifZZEamGz9tGMpcP7UxuOaeQvDPqu+X9Ua7Jpv1rQGu2pI0j6f us8q89U6yPKywUnB3t+qlefUDWH7ssnDmZvckFlF7BjaoirvmW31Rs2aUfgX AEpHWFzceWnadMGldoHYyuaNF8iQjMfltbg+sttDrL1AcXsl+Qkm9k4yyLxA nFc8HEZ6jHhL15dv8K6VD7zO8rw3Uu73btP4d6D3qrTyvpBq3u+S4R2TBC/X n4mSxjQ4KeSd0tpmQ+87fSlWDwT8udfaWOGKBiWnhnic5uJLl5XjU2bJ3s9/ gKQRyB4b6AJ58bY5c4P7RC8oMqrhTA+vi4TSudpZAs2L+wRVLAqymo14cvg4 9Wz3tWrl7tN1xo49ZeDo5iEjZe/ylb4hPm4QjX8lf2bm6MgJpusUt+GlM2vI 5O7avEv2rvlZI/XDjy9R/mrm2IlyutcAOde0pWRfUVVyixSV/DgrdFNI84P5 iUlyoVC65FxWUWlVp/teJ8cnz9KP2P/el7Jr007ZYXzADjfhKUG+PrlLJp2b q/l3g7xchMn5QMu6w+0dgluFohANzeFsUng0JlzpmitrqkI0t4rKUxhkAuxo dyAInnH7HHerMDfzFy2SWdselNbnukiJvNK87Sp9V+HA0qTnF9ESWM3cupoO GHh+jNycdbvMPfekLDrzhhYRPj25VTZmZjL5zXd5hbjD8kfmefk186QyAl8/ /bUsOLtcU239zo+Q+jnNpcyFS6Vgvqa7kkNpAZBfpc8rIavoBm4wSkQrfCHg R3IMo8wrLrEBEJXAui/UVZDnBj+FFRqInJn8i2ZwxvYMNQBE0DSS0IEIjd4Y AuVwYWr4E+OAkeC1GA03RZg0u9oZfzKfWuh/KzTEh9UWzZHxSeZE0Pm03K02 XzeZryKRPDgFH6IrqIImbHG7AJbDb36lKaZhEdt+ZMl1cmvXrtp15s7mFvNk y3r7tLrWt+/o8vaO9e49WjpXXiSLE4fJdu9yDYPT7NbOzSgmZzp2k2PGwR96 9j+yj628/nfZaeK4HfvPyt84A3NmoQi64eNxmiQvogwDzSQdzlaF3X9McMXp 2vP9Ftln4kHiOo7H8dvukpPXDZNzDZuaSLekxnZFQ6XJPPuV79lxEImSc0kF OTlsjBxavFz2/PA7liYYb4h/okx038MLPSd4RxmJqCnK1ByLmBrX8WSJf1oh 3PiPE4S0cOurnyS3aIaKziLJ6G4fA0E/6dJddi16wT/lx/OsGm8hnR3x7Jm3 ZULWHOmRfb1u+Uq5V0jGhRJSMC9ZEvJ8OjkFMy8yRjqfaIXv8TNOIJEbEVzZ vEt1wja9gTSrcxJvPTdPHj77kqw8vU5+OnlEDVvRUMpRHwN/nshPtcv54uQ2 ufvsU9Ite6DGeMY8BEEXJSTOWYuHWgTmB8US9BJM4OXFxzA//IcQRXdf59fX jDn5b82YTSdOoQ6g4vfB7Rs/QeZ98bh0OzlQucNefgGb5dJgULmTySZKIulI 4Mf542wzqoLr5O90TBXZXUSH58AcsEGb6q6pQSkaupC0s2lSYV0FjfZoiC9p sQnSKyw+XMGvsKaCNiy6ximCO4Qg+SVBUtBm84wJ5vdTqmN6JI3C/Yb0s7oT qaraDW8KjAKZGCgD6ZMSHeOSNIH4f6q8+ANWciubqHFAkpy5O0VOvZImp79O kzN/pUjW4YKSY2xannkmdGlluCzdBXNqzpqvA54//Po183WzpwOw40MnjOLP NwZu39W2rTsxRAP0If2dkeG5mRgX2xqSew83bx5nM6hW/jv4MchjiveIZrbq 119czj7wrl0nSftyywyG6auxXH6QWkqU8zVqybHZ82Tvh2tkx18HMS220bSC v4eNqdm57wyqLib++FvPJKqrB5es0LI2yOPkkFFyuntfOduyrWTVaSBZV9fW oCy7SlXJqVTZ2I7LJLdsecmpWFnOX11LnfrpHv0kc/TNcnTugyrVvO+jtbJ7 wzaa8fU8F7TnCdwLjIcMPHXmbHezKArQrvHdlt2eG/cYRjJ8wbujL1CrK9df r8WnUBVwx+HzcnLoGI1wFjZp4m4W5bnvO3aRPS+vkp17TqplTXacMuNfiXTG Zc2U2tmNpWhucYnLi6ug+6aCf3jy/QQTOazLLlxuPHg9JfRhi4ZnTVLS//yz z2uz/vLTn8mqU9/LewbTf3jqV/nk5B/GUGxnFpZ8m7lHPj/5l/nZBnnl9Bfy xJnXVZV8dNY0Y0QGqT261Hx+Wn660ngKOl9uHCOpbQYGdp7R2d0vYAraUyhM xluAHuYP8h9ng1BAiwzXD3B6rQ7RABoWnnlFCQDGupezBxRF2Pk/Pistszqh G1DIRnSca1LlOHnklWD5U5akNdTEHkVskopiBgVN6ONQGsjr1VpRS+EUkIyP wBZRbK9kTQohSsrxVP1oiiL9h/W3o8v8bk5yhWHMAhvNiQiUtVeNvaSoYPFK QshaAXHK/FoGITh4vt4V7lLNLaGewsBvxKa4PZjB1EM+LNHuOR+W+MjqXzbF 96XF/AQRY6Ubm68e5muU+ZpuvuaZr8d8VQ0dN83fH7bfn22+bjFfvcxXDfNV MNBBwkiQWiXTQA/K4AEDAjU6mCiQVI6mpnpu5Gy2z04PvlCdQ9j0ejumHsmK QIHKLy/+7NWWEt5hzc707j3W9nkDZMZIywovyvK4QXLMGMHIoNFExehnm7WS g8+8JDs275a/j12wedVSeqohjVA5IkJea44qaAGxKCJl2uFXf/addvuiVPrB 2p/l43WbtFTEa3kPcyJA1zpE2YAe85lVrbelcMXYCOL+ex9+TOVggjsy7iYN uH/ddSKgFXApYcsBX/Lehx7zzWyKzL3/IY3ng5egVfDfb+RCemElEiE85Trf wSZrWrWRvctex5a5QRQU9l8881/pen6glMwpo0fWT5KW8s1Gto+tCZLZVJxF 9rFiZePf6PlhKAC4udzP5XTyBFUu+kuJvQmw2eccO+vXrrTcAVf4ImdLnhU2 jXGN7n70mNBDETfowdENohpB4RT8U5Qxoe5+oCgCSAj77aY57WTzibP69Ez4 GNwPaKcLvl4qbc91J9Gd6s6w8ZuwQq969yot0Pcc39MWzwsp0xQCM0xShBuv XXGtxgOcV1IS+G934IwtSA/V7xPPJSkkYPTDlR9cqWe146yODOYob0EH37q4 0fWS7y5RrTk3SqTL5C463w+FqrACDwEhUjsGZdS19wKQwcViYMAz9Z6vJ9e8 co0mp+ERmQt3hqDau9UiEnJQ0hEkI0dHro6cXa6fa7OjnvyiMgw0UomkPGCc EaCM7dXLSmQl6KElSqG5xAQx/hlP0wg9zMU+bj4CmSbaNTjjMEM3lywZ1dXH mJBh3jJFD/XqPe+mQQ4adL00qfO0LEgcrxniyBlPUN718dvmys71f4AckkIl fNKvsEVWGsdNg//M2XfSxG/RWSHlmzHfHDEQuoJoX37/qx+VGcrxpuj8+4Fz 6tXN55UIFZapNYMJsAa87YEFT6j+THBPjLOnlQDLYWIO/5Sn6aeFTzklbfgt vFwJRWPGyppf/opqESSKQoUVrbgnGzVy9wSstqJxE9n98CLtItwRTAFO0AiE hutLsy+ndh0efskJZddX+qKS1FlaR5vIaSQwDrGkvS30HyB1yBljXhwBMkCf rcdBxxnCQ9NggHxK5NM1zjY/Io0HVr/iv1fo+ekzso+7M3ACGHqA7zJHxz/v aRqdh887pgKFNypt3Bk0E1VqNZTgIEWx7MxHCgfm3v+wuzMAswWvPC99Tw7T SUCBN7TelaACFg5cPWIBv+cgXQMeumWgiVO4YxQ8eIE/u07pqtw5gAIC8TB/ KPhUsseVhklu68VOH0DBK0rZ1WNYEKij/B/UF/30BzgAO2vwT2xOsH8HS6iQ wDhj45n2jeIVZc8Xa9dWJ0udE+0Zhqm8fdVV2nFNvh0qKClHSMLo/EAMgShs PissYwq3LOKn/QEgkE8jyQd/ejd6higFO3O80nx0OFDgfeQcGaTnq8WOCW4B Us39M55RQbkLXpw7x5S7Gaj+tzl4ZvsnOj96JEenr614+yPtNGfcUjV3I4YM VV9K3n3e/EdUcgPxhmdffE2lf0lso5G19LW3Naf40pt+0pvB6zDKeP2d98yX CbfcCh80EDSdOkPTjhDlXdWdM485Cbc0QEJDdwoqqbsRfrryQpSfPvjiG5Jn zKLqxvbrF9yIWeb5bRk0WPaYeMbEG+7wfndyn1yXNU4ysktEws1Edc/sMNi3 QGQiVHcj2FXsQPjoNK6jP0wNlXZdhjkwo4Bdh5OlpY1UF2kuRE9hmzZ6upES 7+lFNJ/rbkTH2R2V5EpTZdD5aE44kWtkoxfUwBhkT2ewq44TMEe64xI1sdE3 e7hsP5Gn2YChQ4cFN2Lm7XfKHdsXuBmWLieosykNAEEx3ZzJkS4vYT4d5svF aq2Q7ygau1GLre5p5adP8yLkPmwTRWImZrWNeciq2HfDa3jTHCaa2py2DR7t 7EWnAceJlDcP1pWX7jXOEAKXhDzbfuO2mnjfKPG9cePHS9ql49kaXrNEHo+/ kZZ2dxjI6R+/dab8/evOyDgrX5UBx0SVZtIUK3kRr7LX7HMiUVd6BCz+fvBc 1IbFYUFjgwHlrnXufQ8xqCP0ugS6g+V8zVoKCB5s0cJdKx5npbEdexcuJix1 +3VL5lmZeHaOlDpfJhLH+E+PlCn7revkrp3dgs3Tw+dggI0hdg8G4weHOarC b1BUvRfqKSxyl4tPsq4i1PNxhXx2aqsSEmbfeY+7XNzAE2+9JL3O3EBUGOwq E7oBXdnz/Ub2c4ObmeXjpNrcBWCkndS/m8vab2g/PYKRIar+mSArZdCi1yHm rqrorsncQpgymOSDaWluY5H6JXy6EMwsjldiC3V4Qim3eog2SM1EIFOiJlzu 8u4SqtQU5vv1G24vNkHZUJ1LvyhrvKYRUxsvZ1u1l38+/U7DIbe1wDj0SD64 8CnuXOfQTaRiDUF3w46jbneRbt3w9xGdzeJMJEiL/iIineCCJ9yi1juCZxKV BZQ5frI/IqhCBR0d6C74lm7dZGPXHrLXBF6BSYyXxWdWS7WsazRkcfsLMFxy S0lNrRkE7C6YaL7VA60UtJjn5x4RQQnJ+8h80HidykBOgG4dd8Gdp3bWACgC MxIlOT9Fu9yAlNC46doNLvjWqfLAlmflqtxaJDGT7Uez8RHoRZ9jjNs5w/tp PSHcMkCwXvXdqtpH7nYYwqIsLHKpPj6gKE0aw7y2U8xN5ooh9NlS5n/DmC80 yLNC8lzsNLQfGbPskoFgfGY/0qBy3aBB7lag4ETvUHiCA8/sU2M5C3uZOmWl TZu5wa1Az3l68lzZ45UX5fP4vxGK6eF7HpHtuzO9sB0jhobnYKBvJ3fhw4Yr Q5PpQNQN6e8IdpyJj3/4c58Jt89EOWV8idmgQdaaduvVn38fvePg4L76ruQV TNZAZnaHDsFVP964seyaeadPejiR7+oJlK+uP3ejJOekRFk0HApJcWPG3FUD GdlxOFTiYfJEwbbL8oUhjcmKeFADm/FBSPu7q2YUtXY25kd7zK7ZA7VuSSbh linTg6ue//giGX10imTkFRefiRj8OsJUg1i9cfajmWFiM9zBtmN7OnGxYiHD XHdZXeVKhfTKVPXVRPxQX7vG3HalbV2RMJAmJFq9oXcQWppw0k37xXH+U6QI di7YjTjPVQZyTuzRI6jagF5zrHiB23YIhyH2ArsIdiUqSO66+/cfIg2rLJfl Ba4jfHQ2DqLIP+9/qTbO1V45wJCFEdA1OLKDu3ATfMHaRnEETfA1G7dh2FwV G9j3rfGIxvwFuxFP+tzyNxHLsxeeKi8a6BeV/zW/DTbj+ao1lDGw0izU3CN3 3cP69ZOPGzaW/SgvHT7vTB253WvO1tOKSPj00/QNpDPwzF03cAtCIgEWBUzQ ofFurqQM8QWSC9N63H7kU1CQ6z2ud1SdhxahCJ7yw6RqF67RLk3W9NQLK6z4 aIIMHzlSnvpshbTJ6oYunzN5BGf0B8OzcXsPjp1a09DeI/FR9/m6ob0XL73H 9Na8UETYzl80wJJFm73ZPebeK2Zvxc3GMaJG97KJS5hygnCUiZddCyTADaIy GsEnChZMcJxjE1HTIQ5n2YAbtwMRuT0TBfMSlTOMTDDxTdGifyOSEexAApou Gct9hWyvgNuBp/oOkm2bdobIuPFK5sRijZ9wi9fOXju1MEqVEDupDzD0xPjX JLtpAXLwxUhKbNpz0pnQrYeyZNXHX6u9NBvYXTtpDnITETiXqL1GMBO4eHI4 BkUE1850qT+69ZI9a35mw7pdeP+Z56TkudJRIhRYAupX5Mna2kwWRoOggYBe SZTfVNDun7jcOFtb9NvSMJt8mb87awqKQ4aKWMZ8jFvA1a9dfZG5StQi6OIz 7+j5hUY6aszYYAEz77hLHtj2nFxxoUbYEmKrcbYd7ujg3RhKzLOAKAeMssb6 8vws2I3UCIvuKBqtwGEcNcbdhERer5hbMdUWxOBNKiG6XTuNzFfWqKGsNkr7 Zlcl2w0FzRK+EDPW+ZPhIW5fkulBPJYZPyP69XNpUoQxo8MKH/0t8CbrdGua YZo0WWg5Vf5wxHr1lsjUxHuMUy6nqNF55Xymv8+8S7YFXjlelZqeXvaKArgW djXYRgQkoKyhM06YgZoJNtLsTJdbJlNG2vWdT9dpSZ1GGbdT2Y6kwXD2Jupz qwFo/hYVePjQ8NisebpTYf492Lx5sBrcC+1v+6bdLv/85ee7nLeGcDLq9BTG /gWmDttBohRo5VZDppRkM5kfGsxx2ejKUmI20YdLEvHWchvK6Y8IQOPPxQcg gNiXXQ5wNIGJWw0WLTosTqSFVGaem6/OgBs0+855kdWY+7roxZdlbOb0IEcV cOhOJyqvh8rPjSEjDfgLS3+CZ9vd4ZsRx5RGBA6FO1Lp4aAXBYe+w/t6fWLu 3Xh7f8gsUXzEhYfny5EhNj45xSaF2Z9/G3OKbj/uG+49+/hgoUKBXj+PD0v8 iC/84lTcESYj0olEMEkqxvG6119SvLPq4atU+Rh9tqL2hPfqdZNcU/59We5F OXh4V3ueeVG2G5AYVm2l5DrL3Okmbk0GEJLRwbvryDiD4DEiiFIac5xik7rs UjY1Am1schI573y+TueuO8l+Ej7wO7HWBj8E8x7uf1glZSM7OUkpMIeeWiZ5 MMTMbiYPZwC1W9PE7t3lx9p15MCyN8LO/+eTR6Xjqd4SdyEk8Gol2UzQHKyJ 7msUr5oubBqUKolpce8GXqbYvAwmlrdW/ryypn9I+1BnSDkWUfVH+Q/v3+r+ VmALt6bGTzZWontkPydpXXnw+fGwvRQUAIDMPg7WdOtkWbr+PWmT3TWMC4C/ zMckNXOT/XRsvkZjYVxg3AtdykRjbjczIId1AU3C94MstLlCr3/M3WyuhdtN VwgU4jxX9UxR64kHJKwhU4pUHuMgyIrSUsu478RQqPOPHe1CNMXYb6ekfpcJ 4YmiwruY139inDoTb0EJMM+7dZtUJGSM0VHolbJcS5mRXhYTlJW/THa8/Ql8 qmAr0yYBUhg99kYrAlZQjcYtk6dp3hKgisWlggA/MsUyEDgCkH4hQ0FYYFT4 PQ89qjUOEAadcBt3HXfpVUIoN+8FaSTozG6VQAs+PhJKJSmv6MArq+VCESVr ae3x5h49ioSM9OL69WV334GyZ92mUFEiXqkEtU81jNZRy/XddO/RvYNVYqRp hWfTMBGJQrhulnzX1KFhvKQeTdU4mSGscG+QjyUZAA5B8KpgZkGXOyXnQ7RP L61BBMo8dqskX2ogctROh4FFkyKTbrHejLIaPXZckZDxfmLxMrnnwFPKpIoU GHwWFdEgr3TbnTaVi3VrFHh8X14lvYrYE6T6zuY4W6JR+CZRcCUEGxhzxzv2 PYZ5j4mxfjLggU5dJoihpYr0B+pnCFE91qyZpp/AI7SOO4yMjae6x9jwsb17 O/mwmR07auPpxVv9W6+xUoTZ6gh5NG36qFsGk1wrl/1aHvVuoSKfbHd5Vs1a 8ufaDVF4mHFsJDPhhtUL3V1mdBKlgSUY1ufjjHS10vR3U5yHwv74s8tUs+aW yVO1GoB4OTsdKVVGjKIw57Y6JwMVCaaq4Awo17lVMnOMBrqorc5w53c/V3Iz y6Tl9oGWLd0qETn/pfIVcmjB05Eqe7y8cfIbqXiqStQuxwFXf6e6FpvcKgne YICQyaZSxkwxfw9ptkAjN6pB0DzqLa2nLBOKUOS3ekzsoQYap56xU4O+iFxT nl8rJ29PVbvvyL7BKpHG1BxnfmSrk2VAJvfnzKO61XFkt82Z61bJjXnzp7XS J2sonCK3y4HX5NtJNNxsPz1E8w92OcQUl0F1/eDMZgJKR7RFfa6faosasHZd bKOepJpfoBF2L6rBzP0xO9oNbkfjBsAN6jBIxFFTHK0WcQrEmMb16hWoc5Bu 5GeRze3Lh9EeXt3bLH41K087h/r3Hx7Me+3Xb5i2m3dPfEM7RA2C8dw2P9W6 vWz9ZXvUNkdujRmTWFenrAfb9OVVH5F8t1s00nf+4dcbFIDQLIJQCkVrt0xU 6NGfQHLeWGc3uIv8GFonvA2hYQZwBcs0p4PsbGR3+79q78ffSk6FSn5/gvl6 z9faDZaJUiTfO9yrv+xd+4uS4tw+fzpzpZQ6XSZafvV4stRbUk/Nq1smhWRy sQYcRzEngSoUlakD0NjBHDyypW6Z2EyIDGTKjD10Q77IcGH0eRtBZ9/RfYNl wrJQRcRge/u/qlFOa1mXuTdoL4B6Qw43WOao0doTM//Y8yaMrB5lzqlJQBAh 6HUbnSMIESS80QvkFNDOQjawE7WgVnz5F5dr8i9QlzDHE/IqkywGx9zork6O wgL2e0upUjSPOFgCiwKWFaEQwx4HB8/LF8Kk2y+ynf0K7u/xVaSO95PnFMWY l80cTt6VZm8CU4lQVrom9RsdIHHKK2QJmvFyZNAQ2frXgahaUkQi4TF/7oAF DGut0qBrP6ZSAKWKeiw/HxEiSdw8cZIsemG50q4MEHGGmuQarCtyGUjJRZ5V vBp5VDIjW9m/lB1fb5TsK64Klk3/mBPDc0sc07u31sQP1K4nB6BW7j9rYZNB dMcfl8LnivzLRYNeW8xvESyR0Y4kOOwrgj0JUZDEGsaNyT5uiZhsvg9pKFTM JZcP7sGyA+TD2wZqASfj4jTF1WfrylcndwTL/uKnrYGiXrDEcTdqlXv53k9U 4w+Od0rodAKwubwJ9ncxhRKqZnjZAG6KyZHPTdCBR3gbOF4X0RYAK9SYzakY GnNDu8wOcqyAbvNogigRMjFdi3D/TEyUYSEgHYmWdhDQCfYnF5W2ie8Hm5h6 V61ar6jUSKpNpfXqdaOq4VdO3iiPm0Xu97lCzjQjeLh7+h3y5+7MqJCRCpUB vxaBJqupDst7wC8h7qMQZuI+NzNm2PARWqowgMQLz5XE1KIJz5AEtNzdqvj3 HwcjBCBeu9GAmeP1GwX7FjO8tG5dm1L2V0UXLhJ6h66sJocfe1Z50AacOEv8 V2aujDxyqxQ876ay+/sFDp8xicHW1br5m1dHMWgou/Jc4bkZ9OlWRr81gCV9 b3qEl2osF3kSIDksM2PdgpXpnPTz0YS2UofKyOojPwbbFcsLXTpqZRNuUfbU O/t+kD7nh7luQrdjwTGwcSHaTLRvoQAc5s6BOJotaOY2KmR7qE0QGUNNoGQU 4S92m9TNG/E/dmmyLGrUKIqZSt8e7dKopkzs0aOEXfG9rVpFkdsgtN5xyTjQ QrBDEbhhJo//Dv//VGRr135RB8A1jFurog+HvRIhPny8lqn+fGKJ/HUoK2qb wjWbeOuUIFBCbWblR2uC/YTAITk6yvtpdjkA5DDhjLASc7zw2aWA5WA5Bg+H BfHILn92861RnoQlUrsOL4dxV8hNbzUgKrNJCx0jgZIDcZ8zrfR/dDzYS+Jz 46PSqdiZ7hO7B8vB7lFpck8WpMrTp/zvloOojBf6D/542Y1lfYrIuF4l7Cbh n+GXkZmb/vU8dzOJItxUE7cSfNHil15X9t2y4x9K++xeTF0NRZ2RZHHbu9ua 0MaCgaEDNL8StqCcqq5Tu4Y+39+YJPVgy5qjEvT9mQVAtDUnyhv9PzZmokba YpXUGNCLyGZJ5/iNaaXklnfR47q20luBtSR8uuqqt6Vbt8kGv47UaTro3TJl B4mkihXXSEbGDkkukCnjvGdkrddMjH+0TWHxcq50GfntrY/gOXuRAuwFlfw3 bseK6SUqActtIwDC2BtvCpAWhpbvw2Eh/wsYcGtgFDRWM+zZqX18W9UNIPRj XMg2lBmH9+un6+bvEG44oOTZGb1zztyjzHG3yN5P1jEBy3ZmxcvnR7bKtQfq a8AUJjSR6CUF4dagZtL+R60UYOpkjzGjVgtMDRQkReNS3TLoWCQjEd4PBU8U lNXfhCeupetgQnQIqXkDalDOAB/he1QG3DiGnw8flZnnHtQWzMT8RC8tBEop +HWf1N2bZH8v8SSCf5Hfm6b7lVGmVGhIGUITY1+SnyDPgEVkeVSsXbUG24o8 KUDHLHXs/8gXJ+hEA2cBjddyHRCkG/amp4ceW7zc26KdcdevogVqBRuStGjR yFsn93qzVdjB0vcL2bccbNJcNq37NSqSAk6+9t5nSh9rYp8WDa2ku9hZuG2G 2Dn1SfCj243zH13krhBREmrqkScSL7fPmKXFmpwgKZKkiOFc4+baIrT3s++1 lGZsWyH7lmf3viXlj1wWFQThang45DvdFWIkCNSdw8ItuytE6dvttRYPtXBX SIpU0ZZEPrr3rL7KY4R1k2SzFCRjaeIZcf5WbfQplK8BUKFQ9pWqfr8R/bwp Ie8OMReCSeEwkjO/DoJ/q3tbjf+fj/1dqw9E/XRU376Osk71AJ5pXjBYIFVn HqrOwxXXyqKCI4Uu8re83ioWR9vpSdWMKFDYkbnj4mXz9Ntl8/bDQWep55fg IW0SPze39xTtGysyrZ6PGNmhAHYI30cM1Bwud4GcNULuiIlJVWkdQNyry9+U nQ89IYcXPicHl6+SfR+u1WYz1Uw9YW6qdR3HsmTo3zejBuyFFSZQ9gvU9M3V 0RRp60HaLEB90V0d1obvc78N8HdXBweElqnICU7VKJm+wdqf1JXrj4+V/tkj VTSnbm5TKX+horaI+pJ4QaaQT0e7cKb9WA68so0lwoLG5oHbGecLlmNU9sSY j9wJLRBa8izFSossMxjVAPqy9pcg/29/7JWyx3dfpctl/RvvyV8XFWhwCg88 +qTX2n40rF6Htql93/3AwxxpNw6Qh+ZQM5KQ5D5MROh+M0lrR8wt5TgU276T a3fW1yr0xWWDZo80C34z+TF39KiT0HBvHoj7zSihuwY1yiTo45ofu9/MwXWU xVIhxAphAYcxO4S7ucnF/0JSt8iuIuajweZYX6oy/IztYl43+X88g3iGxGv1 QkK0Uhg0MGbggl8/aJCzHlO6dHGG2XOT+VxXNUliviAbpthXwPT8bvRN8tOv O8Lnjsfy+frfZfK0mZaukKyBfBhR8kxIqdLtMGToUFcQBdqvvWjqAIE9w5EM 9gr6XNDGtx8VFUTxq8kO01q1LWjbSpDf9p2S8T/OkIzDxcM5cgcoIfa6K2VQ RxgFkmTEMvPgjHV2V8roOCfRG6ae0vPTeUbn4Eqbzw92ixdu1uMwqSTveV+t z9lsymcwRcmRZv9fOU20NK/ztYD1i8a3LaVKuWdGzpkeXSgpMJLNMbQcsBQZ 37OnTDXPebr5Ppmgx5o00awQRVvILkxlTA5VY79u3VbWvvc52N5V/AHCxF/I oHe0y4Qg/GOUa/STONRASNZA1iZd7+hDzHiCmxJ+PXZ55X/XaGsL2nMwCtxl 3zj+Zv3epCnTNbt83yMLlYyP9hnHn4edbB82jIQH1jwjV269CmASkIWNYVUR amO2OoTwD4mW1COpwdMhMUMdnzZKOMe45LjQqeT8Z+zICF6PQSZhx0HHbJKV KW4DVl5PFoQuUSaqIURDtQnDj9XWpFBewF3nowis4ZKYS8uN/fxTNLykykjl BVRP9Z0iGuwRRqkyFi3RNlTRYAErGGoIBc6X6tTRgbOgX4Z93WyCsdF9++qA 7jjdKmnKBUWmH0YKaG2uHRT2Qr16ajdQAcammA1ikX6iFk0/qt9QPnh5pT7J MP7iaNKa+MCCJ71u9lbeNmeuPj3zWpvJ9nUW0A9id1GudBoLQFzKlsy48F+b pi0ewF3KndQhyftBFpl91z2qcgf/ZMTIUdr6EafZwDSNFsjbUvCBu8c1EMQu fGapunPmaaB5BBElze4mCjwLV78otb6vg88OC/5y/vEMXa2Lhm5BKg8kb17q R2sp6g3I5IGe2CRO3g9lbawPDifRgm+ANO7g0u8v1VwKKAymHtwTTA4JbhhJ FIXi7IBkQDrojJ+xAdvOa6s1fuaC13irhrYb8/vJKKfZncb0K9wIiXazSfNj 7jR/CyVrUMh2g60BLKNNiLY90Hq+ypT4jAyz0yB4vNW8haw0QbGtAkfMxjnt qSO0623vGPE0tWaSFOaBujY8zDenGk2pJea5vPDqKlll/r7+z31eJQdhj13Q Z3X/609JrS/ruCRjuDUAgkPvMb196hXVdPN8KOQSqOG5EetLsil/fDKJKupT 2vgCyefby4Bhtn/bb10jDc/p5SHysfGxz2iCnhWKSvYmJdtCEffyuBXl5ws9 BaZcYHdL2deQxNxQtqzmPZ8ee5O889EapQJxpNzdpFOYOuesO+/2y7teoo4K JEYhfQPLb/1f+z3HVPnT3FIALziKL2ZxEyijh13KvganjKQuT+SG50dKxe8q +nSOkNA1G5SqNMQS93sJVKjEgGHcPXNsEqwpj4bgly9AJZVK6nilrAVNzkzW DAm+k1Gt5G705ib9j4AiSQtN9xkrhvtiktcfvkUqZ2kboBZIQzRQudGfdwy6 XvkMUCMjxsTnTfA9DNQw9/HGUABPcF9vfPCF9jmY0KCctVVADW4kHs7N4Bw+ Z7TUfL2m8gAJjwMlYDYO+ZoFTYOPp30SRTlCajTMYBoYF+XrRiYp+QA8wb3G a1G5JSLn3Wkxb4tfr62ok4sgaGKwMfYEV3CuIOtjtPfY6RGgBBAcO5Kjm2vH RkBihWfIveM4I4DKaaeAShoFKgCOY4QxYbPvmqdShSSvwV1BC54/4BoVWXpc jfX1yb0VtBBJnR6zC2jAdJOO/OibDXqHkWiGicJeZH8CIrjVcGDJL4LaKYxi XKjV8z7eD7OFJ0sVE7bLdSOvl5b3tVSWEnovBmcF2QrOOoYXSr7x1v6lldcO TuZMYW9rL6+tPUjYzkDKaa+dqHDKn6hATM5j4k8+EgYeGWS2OfYWEMGT5XMw GSRHFCAYq63PsWjM53ipzQDS1Tvn7vtVYI9TiSMCev0dUBidyMhR3Z+3Tp3h pk0oY9HADlYDuxpLD1O69K+lVciq0D5f/Aa5aAwlNALlUsUpVbCYolIdEHHO n6WoutNmWeR9WBp8FU4sVFz4YWziRk810mZyyOWMmTPLrGCXwj+hInAdbGg2 tvbhBwquVsvrcKo+MNKevPXp2Mb1Ug3RicF9CYbtxhL+pkCA+8BOIOwnpQiU vO/hx1XqmAgR2MmZpn8TcYT7HnlcQ0N2DjLHWlb4bJ18+sNmBRdINdB9vT2I JRI1fUlMwlQBOpdM+GKHehbUJl8sGI303B9o7KrUkccsXBZaAbSvVpTtwkNw ygnsSDLZ4MKq71XVNkssKn3/YMamjzZVCQRkaFs80EJvKP8mlUj9nN+JQCI9 lESJ8EMK7y6sNCWeI9eQEgrlYVmQuCGSBOPqHV988R1XY6r/u+7/+12vwP8D eaz2zQ==\ \>"]] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell["Init", "Subsubsection", ShowCellBracket->True, CellChangeTimes->{{3.464281864615427*^9, 3.464281864921125*^9}}], Cell[BoxData[ RowBox[{"Get", "[", "\"\\"", "]"}]], "Input", ShowCellBracket->True, InitializationCell->True, CellChangeTimes->{{3.46428186735555*^9, 3.464281888529375*^9}, 3.465208762186933*^9}], Cell[BoxData[ RowBox[{"SetVisualDSolveFont", "[", "\"\\"", "]"}]], "Input", ShowCellBracket->True, InitializationCell->True, CellChangeTimes->{{3.46428186735555*^9, 3.464281888529375*^9}, 3.465208762186933*^9}] }, Closed]] }, ScreenStyleEnvironment->"Presentation", WindowSize->{1024, 592}, WindowMargins->{{-13, Automatic}, {Automatic, 0}}, FrontEndVersion->"7.0 for Mac OS X x86 (32-bit) (February 18, 2009)", StyleDefinitions->"LectureSW.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{ "Section3"->{ Cell[241964, 4211, 81433, 1443, 428, 71454, 1276, "CachedBoxData", "BoxData", "Output", CellTags->"Section3"], Cell[361936, 6324, 11195, 196, 198, "Output", CellTags->"Section3"], Cell[404393, 7232, 14421, 280, 377, "Output", CellTags->"Section3"], Cell[419530, 7534, 39086, 820, 1955, "Input", CellTags->"Section3", CellID->956500132], Cell[458619, 8356, 44268, 794, 543, "Output", CellTags->"Section3"]}, "Section1"->{ Cell[323944, 5673, 37765, 642, 281, "Output", CellTags->"Section1"]}, "Section2"->{ Cell[503226, 9164, 15790, 336, 881, "Input", CellTags->"Section2"], Cell[519019, 9502, 9850, 192, 471, "Output", CellTags->"Section2"], Cell[528894, 9698, 9911, 243, 755, "Input", CellTags->"Section2"], Cell[538808, 9943, 7957, 155, 367, "Output", CellTags->"Section2"]}, "Section4"->{ Cell[547352, 10115, 13682, 273, 675, "Input", CellTags->"Section4"], Cell[561037, 10390, 4895506, 84447, 399, "Output", CellTags->"Section4"], Cell[5456983, 94854, 945268, 14400, 218, 844280, 12741, "CachedBoxData", "BoxData", "Output", CellTags->"Section4"]} } *) (*CellTagsIndex CellTagsIndex->{ {"Section3", 6403218, 109290}, {"Section1", 6403671, 109303}, {"Section2", 6403761, 109306}, {"Section4", 6404068, 109315} } *) (*NotebookFileOutline Notebook[{ Cell[545, 20, 220525, 3616, 132, "hidefromslideshowgraphic"], Cell[221073, 3638, 119, 2, 132, "Title"], Cell[221195, 3642, 290, 6, 91, "Text"], Cell[221488, 3650, 102, 1, 53, "Text"], Cell[CellGroupData[{ Cell[221615, 3655, 182, 3, 113, "Section"], Cell[221800, 3660, 291, 4, 53, "Text"], Cell[222094, 3666, 1087, 34, 119, "Input"], Cell[223184, 3702, 960, 25, 72, "Input"], Cell[224147, 3729, 1083, 26, 92, "Input"], Cell[225233, 3757, 597, 15, 51, "Input"], Cell[225833, 3774, 358, 10, 51, "Input"], Cell[226194, 3786, 150, 2, 53, "Text"], Cell[226347, 3790, 313, 8, 51, "Input"], Cell[226663, 3800, 135, 2, 53, "Text"], Cell[226801, 3804, 379, 9, 51, "Input"], Cell[227183, 3815, 198, 6, 53, "Text"], Cell[227384, 3823, 640, 16, 51, "Input"], Cell[228027, 3841, 196, 3, 53, "Text"], Cell[228226, 3846, 1730, 45, 112, "Input"], Cell[229959, 3893, 1695, 50, 161, "Input"], Cell[231657, 3945, 1673, 44, 112, "Input"], Cell[CellGroupData[{ Cell[233355, 3993, 290, 8, 42, "Subsubsection"], Cell[233648, 4003, 7326, 176, 276, "Input", InitializationCell->True] }, Closed]], Cell[240989, 4182, 488, 11, 167, "Text"] }, Closed]], Cell[CellGroupData[{ Cell[241514, 4198, 121, 2, 66, "Section"], Cell[CellGroupData[{ Cell[241660, 4204, 301, 5, 58, "Subsection"], Cell[241964, 4211, 81433, 1443, 428, 71454, 1276, "CachedBoxData", "BoxData", \ "Output", CellTags->"Section3"], Cell[323400, 5656, 201, 5, 91, "Text"] }, Closed]], Cell[CellGroupData[{ Cell[323638, 5666, 303, 5, 44, "Subsection"], Cell[323944, 5673, 37765, 642, 281, "Output", CellTags->"Section1"], Cell[361712, 6317, 221, 5, 91, "Text"], Cell[361936, 6324, 11195, 196, 198, "Output", CellTags->"Section3"] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell[373180, 6526, 394, 6, 66, "Section"], Cell[373577, 6534, 185, 4, 53, "Text"], Cell[373765, 6540, 294, 7, 51, "Input"], Cell[374062, 6549, 338, 9, 91, "Text"], Cell[374403, 6560, 11337, 268, 710, "Input"] }, Closed]], Cell[CellGroupData[{ Cell[385777, 6833, 448, 7, 66, "Section"], Cell[CellGroupData[{ Cell[386250, 6844, 155, 3, 51, "Input"], Cell[386408, 6849, 17141, 355, 535, "Output"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[403598, 7210, 196, 3, 66, "Section"], Cell[CellGroupData[{ Cell[403819, 7217, 128, 2, 42, "Subsubsection"], Cell[403950, 7221, 440, 9, 91, "Text"], Cell[404393, 7232, 14421, 280, 377, "Output", CellTags->"Section3"], Cell[418817, 7514, 314, 6, 129, "Text"], Cell[419134, 7522, 371, 8, 167, "Text"], Cell[CellGroupData[{ Cell[419530, 7534, 39086, 820, 1955, "Input", CellTags->"Section3", CellID->956500132], Cell[458619, 8356, 44268, 794, 543, "Output", CellTags->"Section3"] }, Closed]], Cell[502902, 9153, 154, 2, 53, "Text"] }, Closed]], Cell[CellGroupData[{ Cell[503093, 9160, 130, 2, 31, "Subsubsection"], Cell[503226, 9164, 15790, 336, 881, "Input", CellTags->"Section2"], Cell[519019, 9502, 9850, 192, 471, "Output", CellTags->"Section2"], Cell[CellGroupData[{ Cell[528894, 9698, 9911, 243, 755, "Input", CellTags->"Section2"], Cell[538808, 9943, 7957, 155, 367, "Output", CellTags->"Section2"] }, Open ]] }, Closed]], Cell[CellGroupData[{ Cell[546814, 10104, 513, 7, 31, "Subsubsection"], Cell[CellGroupData[{ Cell[547352, 10115, 13682, 273, 675, "Input", CellTags->"Section4"], Cell[561037, 10390, 4895506, 84447, 399, "Output", CellTags->"Section4"] }, {2}]] }, Closed]], Cell[CellGroupData[{ Cell[5456589, 94843, 156, 2, 31, "Subsubsection"], Cell[5456748, 94847, 232, 5, 91, "Text"], Cell[5456983, 94854, 945268, 14400, 218, 844280, 12741, "CachedBoxData", \ "BoxData", "Output", CellTags->"Section4"] }, Closed]] }, Closed]], Cell[CellGroupData[{ Cell[6402300, 109260, 119, 2, 31, "Subsubsection"], Cell[6402422, 109264, 218, 5, 51, "Input", InitializationCell->True], Cell[6402643, 109271, 226, 5, 51, "Input", InitializationCell->True] }, Closed]] } ] *) (* End of internal cache information *)